\n {displaylabel} : {displayvalue}\n \n }\n enableChip={true}\n color={props.color}\n />\n );\n};\n\nconst NivoBarDelta = ({ data, foregroundColor, backgroundColor }: Props) => {\n const { dateRange, alternateDateRange, portalUser } = useInsightsQuery();\n let datacopy = structuredClone(data);\n let [originalTimeSeries, comparisonTimeSeries] = datacopy;\n const dataId = originalTimeSeries?.id;\n\n const originalTimeSeriesWithGapsFilled: AggregatedDataSerie['data'] = useMemo(() => {\n const dates = enumerateDaysBetweenDates(dayjs(dateRange[0]), dayjs(dateRange[1]));\n const originalTimeSeriesWithGapsFilled = dates.map((date) => {\n const originalDataPoint = originalTimeSeries.data.find((dataPoint: any) => {\n return dayjs(dataPoint.x).isSame(date, 'day');\n });\n const x = date;\n const y = originalDataPoint?.y;\n return { x, y };\n });\n\n return originalTimeSeriesWithGapsFilled;\n }, [originalTimeSeries?.data?.length, dateRange[0], dateRange[1]]);\n\n const comparisonTimeSeriesWithGapsFilled: AggregatedDataSerie['data'] = useMemo(() => {\n const dates = enumerateDaysBetweenDates(dayjs(alternateDateRange[0]), dayjs(alternateDateRange[1]));\n const comparisonTimeSeriesWithGapsFilled = dates.map((date) => {\n const comparisonDataPoint = comparisonTimeSeries.data.find((dataPoint: any) => {\n return dayjs(dataPoint.x).isSame(date, 'day');\n });\n const x = date;\n const y = comparisonDataPoint?.y;\n return { x, y };\n });\n\n return comparisonTimeSeriesWithGapsFilled;\n }, [comparisonTimeSeries?.data?.length, alternateDateRange[0], alternateDateRange[1]]);\n\n const originalTimeSeriesWithDayNumbers: AggregatedDataSerie['data'] = addIndexToDates(\n originalTimeSeriesWithGapsFilled\n );\n const comparisonTimeSeriesWithDayNumbers: AggregatedDataSerie['data'] = addIndexToDates(\n comparisonTimeSeriesWithGapsFilled\n );\n originalTimeSeries.data = originalTimeSeriesWithDayNumbers;\n comparisonTimeSeries.data = comparisonTimeSeriesWithDayNumbers;\n\n const deltaData = useMemo(() => {\n const deltaData = originalTimeSeriesWithDayNumbers?.map((dataPoint: any) => {\n const { x, y, index } = dataPoint;\n if (y === null) {\n return { x, y: null };\n }\n const comparisonDataPoint = comparisonTimeSeriesWithDayNumbers[index];\n const comparisonY = comparisonDataPoint?.y as number;\n if (comparisonY === null) {\n return { x, y: null };\n }\n\n const delta = y - comparisonY;\n const change = 0 + delta;\n const result =\n change > 0 ? { pos: Number.isNaN(change) ? null : change } : { neg: Number.isNaN(change) ? null : change };\n\n return { x, ...result };\n });\n\n const deltaDataPositives = deltaData.map((dataPoint: any) => {\n const { x, y } = dataPoint;\n const positiveY = y > 0 ? y : null;\n return { x, y: positiveY };\n });\n\n const deltaDataNegatives = deltaData.map((dataPoint: any) => {\n const { x, y } = dataPoint;\n const negativeY = y < 0 ? y : null;\n return { x, y: negativeY };\n });\n\n return [deltaData, deltaDataPositives, deltaDataNegatives];\n }, [originalTimeSeries?.data?.length, comparisonTimeSeriesWithGapsFilled?.length]);\n\n const deltaLine = structuredClone(originalTimeSeries);\n deltaLine.id = 'delta';\n deltaLine.sortKey = 'delta';\n deltaLine.data = deltaData[0];\n\n const deltaLinePositives = structuredClone(originalTimeSeries);\n deltaLinePositives.id = 'deltaPositives';\n deltaLinePositives.sortKey = 'deltaPositives';\n deltaLinePositives.data = deltaData[1];\n const max = d3.max(deltaLinePositives?.data, (d) => (d.y ? d.y : 0) as number | null);\n\n const deltaLineNegatives = structuredClone(originalTimeSeries);\n deltaLineNegatives.id = 'deltaNegatives';\n deltaLineNegatives.sortKey = 'deltaNegatives';\n deltaLineNegatives.data = deltaData[2];\n const min = d3.min(deltaLineNegatives?.data, (d) => (d.y ? d.y : 0) as number | null);\n const hasValues = (originalTimeSeries?.data?.length > 0 || comparisonTimeSeries?.data?.length > 0) && max && min;\n const keys = ['pos', 'neg'];\n const colors = [ORANGE, ORANGE];\n const domain = d3.extent(deltaData[0], (d) => dayjs(d.x).format('YYYY-MM-DD'));\n const center = Math.floor(deltaData[0]?.length / 2);\n const centerDate = dayjs(deltaData[0][center].x).format('YYYY-MM-DD');\n const tickValues = [domain[0], centerDate, domain[1]];\n\n /**\n * The enclosing div should be unnecessary because the Chart Wrapper has a height. Dont know why it is needed.\n */\n\n return (\n \n {\n return {\n color: colors[index],\n id,\n label: id === 'pos' ? 'Current > Comparison' : 'Comparison > Current',\n };\n }),\n anchor: 'bottom',\n direction: 'row',\n justify: false,\n translateX: 0,\n translateY: 50,\n itemsSpacing: 20,\n itemDirection: 'top-to-bottom',\n itemWidth: 110,\n itemHeight: 20,\n itemOpacity: 0.75,\n symbolSize: 12,\n symbolShape: 'square',\n symbolBorderColor: 'rgba(0, 0, 0, .5)',\n effects: [\n {\n on: 'hover',\n style: {\n itemBackground: 'rgba(0, 0, 0, .03)',\n itemOpacity: 1,\n },\n },\n ],\n },\n ]} */\n tooltip={(node) => (\n
\n );\n};\n\nexport default NivoBarDelta;","import NivoBarDelta from './NivoBarDelta';\nexport default NivoBarDelta;\n","import EastIcon from '@mui/icons-material/East';\nimport CircularProgress from '@mui/material/CircularProgress';\nimport Stack from '@mui/material/Stack';\nimport { PointTooltipProps, ResponsiveLine } from '@nivo/line';\nimport { BasicTooltip } from '@nivo/tooltip';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport { AggregatedDataType } from 'Types/insightstypes';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport { capitalizeSentence } from 'Utils/Helpers';\nimport { BEIGE, BLUE, ORANGE } from 'Utils/colors';\nimport { humanReadable } from 'Utils/humanReadableTitles';\nimport { regressionLoess } from 'd3-regression';\nimport React, { Suspense } from 'react';\n\ninterface Datum {\n x?: Date | number | string;\n y?: Date | number | string;\n [key: string]: any;\n}\n\ninterface Serie {\n id: string \n sortKey?: string | number;\n data: Datum[];\n [key: string]: any;\n}\n\ntype Props = {\n data: Serie;\n hasTrendLine?: boolean;\n isLoading?: boolean;\n foregroundColor?: string[];\n backgroundColor?: string;\n customYScale?: {\n min?: number;\n };\n};\n\n\nconst CustomTooltip = ({ point }: PointTooltipProps) => (\n \n {point.data.xFormatted} : {point.data.yFormatted}\n \n }\n enableChip={true}\n color={point.serieColor}\n />\n);\n\nfunction NivoLineChart({\n data,\n hasTrendLine = false,\n isLoading,\n foregroundColor = [ORANGE, BLUE],\n backgroundColor = BEIGE,\n customYScale,\n}: Props) {\n const { portalUser } = useInsightsQuery();\n const hasValues = data?.data?.length > 0;\n let dataCopy = structuredClone(data);\n const datalength = dataCopy?.data?.length;\n let chartData = [dataCopy];\n\n dataCopy.id = humanReadable.insightsKPIs[dataCopy.id as keyof AggregatedDataType](portalUser);\n\n if (hasTrendLine) {\n const trendLine = regressionLoess()\n .x((d: Datum) => dayjs(d.x))\n .y((d: Datum) => d.y)\n .bandwidth(1)(dataCopy?.data);\n\n const trendLineData = {\n id: capitalizeSentence(`trend`),\n data: data?.data.map((d, i) => {\n return {\n x: dayjs(d.x).format('YYYY-MM-DD'),\n y: trendLine[i] === undefined ? 0 : trendLine[i][1],\n };\n }),\n color: ORANGE,\n };\n dataCopy = {\n ...dataCopy,\n color: BLUE,\n };\n\n chartData = [ trendLineData, dataCopy];\n\n } else {\n dataCopy = {\n ...dataCopy,\n color: BLUE,\n };\n \n chartData = [dataCopy];\n }\n\n return hasValues ? (\n -.2r'\n }\n axisTop={null}\n axisRight={null}\n axisBottom={{\n format: '%b %d',\n tickValues: 5,\n tickSize: 5,\n tickPadding: 5,\n tickRotation: 0,\n legendOffset: 42,\n legendPosition: 'middle',\n }}\n axisLeft={{\n tickValues: 3,\n tickSize: 5,\n tickPadding: 5,\n tickRotation: 0,\n }}\n enablePoints={true}\n enableGridX={true}\n enableGridY={true}\n pointSize={datalength <= 90 ? 5 : 3}\n pointBorderWidth={2}\n colors={d => d.color}\n useMesh={true}\n crosshairType=\"bottom-left\"\n legends={[\n {\n anchor: 'bottom',\n direction: 'row',\n justify: false,\n translateX: 0,\n translateY: 50,\n itemsSpacing: 0,\n itemDirection: 'top-to-bottom',\n itemWidth: 110,\n itemHeight: 20,\n itemOpacity: 0.75,\n symbolSize: 12,\n symbolShape: 'square',\n symbolBorderColor: 'rgba(0, 0, 0, .5)',\n effects: [\n {\n on: 'hover',\n style: {\n itemBackground: 'rgba(0, 0, 0, .03)',\n itemOpacity: 1,\n },\n },\n ],\n },\n ]}\n tooltip={(node) => \n \n \n First select filters and then a property to view chart
\n \n \n );\n}\n\nexport default NivoLineChart;","import NivoLineChart from './NivoLineChart';\n\nexport default NivoLineChart;\n","import { AggregatedDataType, AggregatedDataSerie, AggregatedDataDatum, CampaignTypeData } from 'Types/insightstypes';\nimport React, { useMemo } from 'react';\nimport { PointTooltipProps, ResponsiveLine } from '@nivo/line';\nimport { TEAL, PINK, BEIGE, ORANGE, BLUE } from 'Utils/colors';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport Stack from '@mui/material/Stack';\nimport EastIcon from '@mui/icons-material/East';\nimport { humanReadable } from 'Utils/humanReadableTitles';\nimport { BasicTooltip } from '@nivo/tooltip';\nimport { enumerateDaysBetweenDates } from 'Utils/Helpers';\nimport dayjs from 'dayjs';\n\ntype Props = { data: [AggregatedDataSerie, AggregatedDataSerie]; foregroundColor?: string[]; backgroundColor?: string };\n\nconst CustomTooltip = ({ point }: PointTooltipProps) => (\n \n {point.data.xFormatted} : {point.data.yFormatted}\n \n }\n enableChip={true}\n color={point.serieColor}\n />\n);\n\nfunction NivoAreaChart({ data, foregroundColor = [ORANGE, BLUE], backgroundColor = BEIGE }: Props) {\n const { portalUser } = useInsightsQuery();\n let originaldata = structuredClone(data);\n const hasValues = originaldata[0]?.data?.length > 0;\n\n if (originaldata[0]?.data?.length > 0 && originaldata[1]) {\n originaldata[1].data = originaldata[0].data.map((dataPoint, index) => {\n const date = dataPoint.x; \n const comparisonDataPoint = originaldata[1].data[index];\n let y = comparisonDataPoint?.y;\n\n if (typeof y === 'undefined' || isNaN(Number(y))) {\n y = 0; \n }\n\n return { x: date, y };\n });\n }\n\n return hasValues ? (\n -.2r'\n }\n axisTop={null}\n axisRight={null}\n axisBottom={{\n tickSize: 5,\n tickPadding: 5,\n tickRotation: 60,\n legendOffset: 52,\n legendPosition: 'middle',\n tickValues: 'every 7 days',\n format: '%b %d',\n }}\n axisLeft={{\n format: originaldata[0]?.label\n ? humanReadable.insightsKPIValueFormat[originaldata[0]?.label as keyof AggregatedDataType](portalUser)\n : ' >-.2r',\n tickValues: 3,\n tickSize: 5,\n tickPadding: 5,\n tickRotation: 0,\n }}\n enablePoints={true}\n enableGridX={true}\n enableGridY={true}\n pointSize={4}\n pointBorderWidth={2}\n pointLabelYOffset={-12}\n colors={foregroundColor}\n useMesh={true}\n crosshairType=\"bottom-left\"\n legends={[\n {\n anchor: 'bottom',\n data: originaldata.map((datum, index) => {\n return {\n color: foregroundColor[index],\n id: datum?.id as string,\n label:\n typeof datum?.id === 'string'\n ? datum?.id?.includes('comparison')\n ? 'Comparison Period'\n : 'Current Period'\n : '-',\n };\n }),\n direction: 'row',\n justify: false,\n translateX: 0,\n translateY: 70,\n itemsSpacing: 20,\n itemDirection: 'top-to-bottom',\n itemWidth: 110,\n itemHeight: 20,\n itemOpacity: 0.75,\n symbolSize: 12,\n symbolShape: 'square',\n symbolBorderColor: 'rgba(0, 0, 0, .5)',\n effects: [\n {\n on: 'hover',\n style: {\n itemBackground: 'rgba(0, 0, 0, .03)',\n itemOpacity: 1,\n },\n },\n ],\n },\n ]}\n tooltip={(node) => \n \n Not enough data available
\n \n \n );\n}\n\nexport default NivoAreaChart;","import Grid from '@mui/material/Grid';\nimport helptexts, { HelpTextType } from 'Assets/JSON/helptexts';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport useChartDimensions from 'Hooks/useChartDimensions';\nimport useComparisonData from 'Hooks/useComparisonData';\nimport { AggregatedDataByDateType, AggregatedDataType } from 'Types/insightstypes';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport { HumanReadableInsightsKPIsType, humanReadable } from 'Utils/humanReadableTitles';\nimport * as d3 from 'd3';\nimport { Suspense } from 'react';\nimport { BEIGE, BLUE, ORANGE, TEAL } from '../../Utils/colors';\nimport ChartHeader from './Components/ChartHeader';\nimport ChartSwitchWrapper from './Components/ChartSwitchWrapper';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport NivoBarDelta from './Components/NivoBarDelta';\nimport NivoLineChart from './Components/NivoLineChart';\nimport NivoMultipleLineChart from './Components/NivoMultipleLineChart/NivoMultipleLineChart';\n\ntype Props = {\n dataByDate: AggregatedDataByDateType[];\n comparisondata: AggregatedDataByDateType[];\n dataTotal: AggregatedDataType;\n comparisonTotal: AggregatedDataType;\n};\ninterface Datum {\n x?: Date | number | string;\n y?: Date | number | string;\n [key: string]: any;\n}\n\ninterface Serie {\n id: string | number;\n sortKey?: string | number;\n data: Datum[];\n [key: string]: any;\n}\n\nfunction dataGetter(\n accumulator: { [key: string]: Serie },\n currentValue: AggregatedDataByDateType,\n currentIndex: number,\n array: AggregatedDataByDateType[],\n isOriginal: boolean\n) {\n const keys = Object.keys(currentValue).sort((a, b) => {\n const indexA = metricSortOrder.indexOf(a.toLowerCase());\n const indexB = metricSortOrder.indexOf(b.toLowerCase());\n\n // If a and b are both in metricSortOrder, compare their positions\n if (indexA !== -1 && indexB !== -1) {\n return indexA - indexB;\n }\n\n // If only a is in metricSortOrder, it should come before b\n if (indexA !== -1) {\n return -1;\n }\n\n // If only b is in metricSortOrder, it should come before a\n if (indexB !== -1) {\n return 1;\n }\n\n // If neither a nor b are in metricSortOrder, no change in order\n return 0;\n });\n\n keys.forEach((key) => {\n const accumulatorKey = key as keyof AggregatedDataByDateType;\n /**\n * searchimpressionshare must NOT be displayed among aggregated data\n * because total volume only exists for Google so the metric will be\n * misleading for other channels\n */\n if (accumulatorKey === 'searchimpressionshare' || accumulatorKey === 'impressionshare') return accumulator;\n if (key !== 'reportdate') {\n const id = isOriginal ? key : `${key}_comparison`;\n if (!accumulator[accumulatorKey]) {\n accumulator[accumulatorKey] = { id, label: key, sortKey: key, data: [] };\n }\n accumulator[accumulatorKey].id = id;\n accumulator[accumulatorKey].label = key;\n accumulator[accumulatorKey].sortKey = key;\n accumulator[accumulatorKey].data = [\n ...accumulator[accumulatorKey].data,\n { x: dayjs(currentValue.reportdate).format('YYYY-MM-DD'), y: currentValue[accumulatorKey] },\n ];\n }\n });\n\n return accumulator;\n}\n\ntype DataPerCategoryType = {\n [key: string]: Serie;\n};\n\nconst chartSettings = {\n marginTop: 20,\n marginRight: 15,\n marginBottom: 40,\n marginLeft: 10,\n};\n\nconst metricSortOrder = [\n 'cost',\n 'conversionvalue',\n 'roas',\n 'returnonexpenditurevalue',\n 'conversions',\n 'conversionrate',\n 'convrate',\n 'cpc',\n 'impressions',\n 'searchvolume',\n 'searchimpressionshare',\n 'impressionshare',\n 'clicks',\n 'ctr',\n 'clickthroughrate',\n 'costperclick',\n 'cpa',\n 'frequency',\n 'landingpageviews',\n 'newusers',\n 'returningusers',\n 'uniqueusers',\n 'noofoperations',\n];\n\nfunction AggregatedDataByDateMultiView({ dataByDate, dataTotal, comparisondata, comparisonTotal }: Props) {\n const { portalUser, shallCompare, queryparams, platforms } = useInsightsQuery();\n const [ref, dms] = useChartDimensions(chartSettings);\n const [originalData, comparisonData, ...errors]: [DataPerCategoryType, DataPerCategoryType, ...string[]] =\n useComparisonData([dataByDate, comparisondata, dataGetter, queryparams]);\n\n return (\n \n {originalData &&\n Object.keys(originalData).map((key) => {\n const data = originalData[key as keyof AggregatedDataType];\n const comparisondata = comparisonData[key as keyof AggregatedDataType];\n\n const formatString =\n humanReadable.insightsKPIValueFormat[data?.sortKey as keyof HumanReadableInsightsKPIsType](portalUser);\n\n const metricValue = dataTotal[data?.sortKey as keyof AggregatedDataType];\n const metricComparisonValue = shallCompare\n ? comparisonTotal[data?.sortKey as keyof AggregatedDataType]\n : null;\n\n const formattedMetricValue = d3.format(formatString)(metricValue);\n const formattedMetricComparisonValue = shallCompare ? d3.format(formatString)(metricComparisonValue) : null;\n\n const helpTextKey =\n data?.label?.toUpperCase() === 'RETURNONEXPENDITUREVALUE'\n ? portalUser.return_on_expenditure_type.toUpperCase()\n : (data?.label?.toUpperCase() as keyof HelpTextType);\n\n const helpTextTitle = helptexts[helpTextKey as keyof HelpTextType]?.title;\n const helpText = helptexts[helpTextKey as keyof HelpTextType]?.content;\n const label =\n typeof data?.label === 'string'\n ? humanReadable.insightsKPIs[data?.label as keyof HumanReadableInsightsKPIsType](portalUser).toUpperCase()\n : data?.label;\n\n /// Filter out 'searchvolume' if 'meta' is the only channel selected\n if (\n data?.label === 'searchvolume' &&\n queryparams.channels.includes('meta') &&\n queryparams.channels.length === 1\n ) {\n return null;\n }\n\n return (\n Loading...} key={data?.id}>\n {data?.label === 'searchvolume' ? (\n \n \n
\n \n
\n {shallCompare && comparisondata ? (\n \n {(showDelta) =>\n !showDelta ? (\n \n ) : (\n \n Loading...
}>\n \n ) : (\n \n \n
\n \n
\n {shallCompare && comparisondata ? (\n \n {(showDelta) =>\n !showDelta ? (\n \n ) : (\n \n Loading...
}>\n \n )}\n \n );\n })}\n \n );\n}\n\nexport default AggregatedDataByDateMultiView;\n","import Box from '@mui/material/Box';\nimport React, { useEffect } from 'react';\nimport CircularProgress from '@mui/material/CircularProgress';\nimport Stack from '@mui/material/Stack';\nimport Grid from '@mui/material/Grid';\n\ntype Props = {};\n\nconst loadingMessages = ['Loading', 'Please wait', 'Calculating', 'Sorting', 'Filtering'];\nconst LoadingScreen = (props: Props) => {\n const [loadingMessage, setLoadingMessage] = React.useState(loadingMessages[0]);\n\n useEffect(() => {\n const interval = setInterval(() => {\n setLoadingMessage(loadingMessages[Math.floor(Math.random() * loadingMessages.length)]);\n }, 1200);\n return () => clearInterval(interval);\n });\n\n return (\n \n \n \n {loadingMessage.toUpperCase()}
\n \n \n \n );\n};\n\nexport default LoadingScreen;\n","import LoadingScreen from './LoadingScreen';\n\nexport default LoadingScreen;\n","import React, { useEffect } from 'react';\nimport Alert from '@mui/material/Alert';\nimport AlertTitle from '@mui/material/AlertTitle';\nimport { useQuery } from '@tanstack/react-query';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport fetchAggregatedData from 'Services/InsightsServices/fetchAggregatedData';\nimport fetchAggregatedDataByDate from 'Services/InsightsServices/fetchAggregatedDataByDate';\nimport { AggregatedDataByDateType } from 'Types/insightstypes';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport AggregatedDataByDateMultiView from './AggregatedDataByDateMultiView';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport LoadingScreen from './Components/LoadingScreen';\n\ntype QueryReturnType = {\n data: { data: AggregatedDataByDateType[] };\n isLoading: boolean;\n};\n\nfunction AggregatedDataByDateView() {\n const {\n queryparams,\n isReadyToRun,\n shallCompare,\n alternateStartDate,\n alternateEndDate,\n setPlatformsEnabled,\n setPlatforms,\n } = useInsightsQuery();\n\n const { data: aggregatedbydate, isLoading: isLoadingAggregatedByDate } = useQuery({\n queryKey: ['aggregateddatabydate', { ...queryparams }],\n queryFn: () => fetchAggregatedDataByDate(queryparams, ),\n enabled: isReadyToRun,\n });\n\n const { data: aggregatedbydateComparisonData, isLoading: isLoadingAggregatedByDateComparisonData } =\n useQuery({\n queryKey: [\n 'aggregateddatabydateComparisonData',\n { ...queryparams, startdate: alternateStartDate, enddate: alternateEndDate },\n ],\n queryFn: () =>\n fetchAggregatedDataByDate({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n\n const { data: aggregatedtotal, isLoading: isLoadingAggregatedTotal } = useQuery({\n queryKey: ['aggregateddata', { ...queryparams }],\n queryFn: () => fetchAggregatedData(queryparams),\n enabled: isReadyToRun,\n });\n \n \n const { data: aggregatedTotalComparison, isLoading: isLoadingAggregatedTotalComparison } = useQuery({\n queryKey: ['aggregateddataComparison', {\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }],\n queryFn: () =>\n fetchAggregatedData({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n \n const tooLittleData =\n (!aggregatedbydate?.data?.data || aggregatedbydate?.data?.data?.length === 0) && !isLoadingAggregatedByDate;\n\n const tooLittleComparisonData =\n shallCompare &&\n (!aggregatedTotalComparison?.data?.data ||\n !aggregatedbydateComparisonData?.data?.data ||\n aggregatedbydateComparisonData?.data?.data?.length === 0) &&\n !isLoadingAggregatedByDateComparisonData;\n\n useEffect(() => {\n setPlatformsEnabled(true);\n\n setPlatforms(['meta', 'google', 'bing']);\n\n return () => {\n setPlatformsEnabled(true);\n };\n }, []);\n\n return isLoadingAggregatedByDate || isLoadingAggregatedTotal || isLoadingAggregatedByDateComparisonData ? (\n \n {tooLittleData || tooLittleComparisonData ? (\n <>\n {tooLittleData && (\n \n Info \n There's not enough data. Please select a different date range.\n \n )}\n {tooLittleComparisonData && (\n \n Info \n There's not enough data to compare with the selected date range.\n \n )}\n \n ) : (\n \n );\n}\n\nexport default AggregatedDataByDateView;\n","import Grid from '@mui/material/Grid';\nimport helptexts, { HelpTextType } from '../../Assets/JSON/helptexts';\nimport { useInsightsQuery } from '../../Context/InsightsQueryContext';\nimport useChartDimensions from '../../Hooks/useChartDimensions';\nimport useComparisonData from '../../Hooks/useComparisonData';\nimport {BingCampaignDataType, BingCampaignDataByDateType} from '../../Types/insightstypes';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport { HumanReadableInsightsKPIsType, humanReadable } from '../../Utils/humanReadableTitles';\nimport * as d3 from 'd3';\nimport React, { Suspense } from 'react';\nimport { BEIGE, PINK, TEAL, YELLOW, BLACK, ORANGE, BLUE } from '../../Utils/colors';\nimport ChartSwitchWrapper from './Components/ChartSwitchWrapper';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport NivoLineChart from './Components/NivoLineChart';\nimport NivoMultipleLineChart from './Components/NivoMultipleLineChart/NivoMultipleLineChart';\nimport ChartHeader from './Components/ChartHeader';\nimport NivoBarDelta from './Components/NivoBarDelta';\n\ntype Props = {\n dataByDay: BingCampaignDataByDateType[];\n comparisondata: BingCampaignDataByDateType[];\n dataTotal: BingCampaignDataType;\n comparisonTotal: BingCampaignDataType;\n};\ninterface Datum {\n x?: Date | number | string;\n y?: Date | number | string;\n [key: string]: any;\n}\n\ninterface Serie {\n id: string | number;\n sortKey?: string | number;\n data: Datum[];\n [key: string]: any;\n}\n\nfunction dataGetter(\n accumulator: { [key: string]: Serie },\n currentValue: BingCampaignDataByDateType,\n currentIndex: number,\n array: BingCampaignDataByDateType[],\n isOriginal: boolean\n) {\n const keys = Object.keys(currentValue).sort((a, b) => {\n return (metricSortOrder.indexOf(a.toLowerCase()) || 1) - (metricSortOrder.indexOf(b.toLowerCase()) || -1);\n });\n keys.forEach((key) => {\n const accumulatorKey = key as keyof BingCampaignDataByDateType;\n if (accumulatorKey === 'searchimpressionshare' || accumulatorKey === 'impressionshare') return accumulator;\n if (key !== 'reportdate') {\n const id = isOriginal ? key : `${key}_comparison`;\n if (!accumulator[accumulatorKey]) {\n accumulator[accumulatorKey] = { id, label: key, sortKey: key, data: [] };\n }\n accumulator[accumulatorKey].id = id;\n accumulator[accumulatorKey].label = key;\n accumulator[accumulatorKey].sortKey = key;\n accumulator[accumulatorKey].data = [\n ...accumulator[accumulatorKey].data,\n { x: dayjs(currentValue.reportdate).format('YYYY-MM-DD'), y: currentValue[accumulatorKey] },\n ];\n }\n });\n\n return accumulator;\n}\n\ntype DataPerCategoryType = {\n [key: string]: Serie;\n};\n\nconst chartSettings = {\n marginTop: 20,\n marginRight: 15,\n marginBottom: 40,\n marginLeft: 10,\n};\n\nconst metricSortOrder = [\n 'cost',\n 'conversionvalue',\n 'roas',\n 'returnonexpenditurevalue',\n 'conversions',\n 'conversionrate',\n 'convrate',\n 'cpc',\n 'searchvolume',\n 'searchimpressionshare',\n 'impressions',\n 'impressionshare',\n 'clicks',\n 'ctr',\n 'clickthroughrate',\n 'cpa',\n 'frequency',\n 'landingpageviews',\n 'newusers',\n 'returningusers',\n 'uniqueusers',\n\n];\nfunction BingCampaignDataMultiView({ dataByDay, dataTotal, comparisondata, comparisonTotal }: Props) {\n const {portalUser, shallCompare, queryparams} = useInsightsQuery();\n const [ref, dms] = useChartDimensions(chartSettings);\n\n const [originalData, comparisonData, ...errors]: [DataPerCategoryType, DataPerCategoryType, ...string[]] =\n useComparisonData([dataByDay, comparisondata, dataGetter, queryparams]);\n\n\n return (\n \n {originalData &&\n Object.keys(originalData).map((key) => {\n const data = originalData[key as keyof BingCampaignDataType];\n const comparisondata = comparisonData[key as keyof BingCampaignDataType];\n\n const formatString =\n humanReadable.insightsKPIValueFormat[data?.sortKey as keyof HumanReadableInsightsKPIsType](portalUser);\n\n const metricValue = dataTotal?.[data?.sortKey as keyof BingCampaignDataType];\n const metricComparisonValue = shallCompare\n ? comparisonTotal[data?.sortKey as keyof BingCampaignDataType]\n : null;\n\n const formattedMetricValue = d3.format(formatString)(metricValue);\n const formattedMetricComparisonValue = shallCompare ? d3.format(formatString)(metricComparisonValue) : null;\n\n const helpTextKey =\n data?.label?.toUpperCase() === 'RETURNONEXPENDITUREVALUE'\n ? portalUser.return_on_expenditure_type.toUpperCase()\n : (data?.label?.toUpperCase() as keyof HelpTextType);\n\n const helpTextTitle = helptexts[helpTextKey as keyof HelpTextType]?.title;\n const helpText = helptexts[helpTextKey as keyof HelpTextType]?.content;\n const label =\n typeof data?.label === 'string'\n ? humanReadable.insightsKPIs[data?.label as keyof HumanReadableInsightsKPIsType](portalUser).toUpperCase()\n : data?.label;\n return (\n Loading...} key={data?.id}>\n {data?.label === 'searchvolume' ? (\n \n \n
\n \n
\n {shallCompare && comparisondata ? (\n \n {(showDelta) =>\n !showDelta ? (\n \n ) : (\n \n Loading...
}>\n \n ) : (\n \n \n
\n \n
\n {shallCompare && comparisondata ? (\n \n {(showDelta) =>\n !showDelta ? (\n \n ) : (\n \n Loading...
}>\n \n )}\n \n );\n })}\n \n );\n}\n\n\nexport default BingCampaignDataMultiView;\n","import { getCookie } from 'Utils/Helpers';\nimport http from 'Utils/Http';\nimport { InsightsRequest } from '../../Types/insightstypes';\n\nconst fetchBingCampaignData = async (params: InsightsRequest) => {\n const { data } = await http.post('/api/insights/bingcampaigndata', { ...params });\n\n return data;\n};\n\nexport default fetchBingCampaignData;\n","import { dayjs } from '../../Utils/DayJs/dayjsWrapper';\nimport { BingCampaignDataByDateType } from '../../Types/insightstypes';\nimport LoadingScreen from './Components/LoadingScreen';\nimport Alert from '@mui/material/Alert';\nimport AlertTitle from '@mui/material/AlertTitle';\nimport { useInsightsQuery } from '../../Context/InsightsQueryContext';\nimport { useQuery } from '@tanstack/react-query';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport BingMultiView from './BingMultiView';\nimport React, { useEffect } from 'react';\nimport fetchAggregatedData from '../../Services/InsightsServices/fetchAggregatedData';\nimport fetchBingCampaignData from '../../Services/InsightsServices/fetchBingCampaignData';\n\ntype QueryReturnType = {\n data: { data: BingCampaignDataByDateType[] };\n isLoading: boolean;\n};\n\nfunction BingDataViews() {\n const {\n queryparams,\n isReadyToRun,\n shallCompare,\n alternateStartDate,\n alternateEndDate,\n setPlatformsEnabled,\n setPlatforms,\n } = useInsightsQuery();\n\n //Ordinary by day\n const { data: bingcampaigndata, isLoading: isLoadingBingCampaignData } = useQuery({\n queryKey: ['bingcampaigndata', { ...queryparams }],\n queryFn: () => fetchBingCampaignData(queryparams),\n enabled: isReadyToRun,\n });\n\n //Ordinary Comparison by day\n const { data: bingcampaignComparisonData, isLoading: isLoadingBingCampaignComparisonData } =\n useQuery({\n queryKey: [\n 'bingcampaignComparisonData',\n { ...queryparams, startdate: alternateStartDate, enddate: alternateEndDate },\n ],\n queryFn: () =>\n fetchBingCampaignData({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n //Aggregated for a specific period\n const { data: bingcampaigndataTotal, isLoading: isLoadingBingCampaignDataTotal } = useQuery({\n queryKey: ['aggregateddataForBing', { ...queryparams }],\n queryFn: () => fetchAggregatedData({ ...queryparams, channels: ['bing'] }),\n enabled: isReadyToRun,\n });\n\n //Aggregated comparison for a specific period\n const { data: bingTotalComparison, isLoading: isLoadingBingTotalComparison } = useQuery({\n queryKey: ['aggregateddataComparisonforBing', { \n ...queryparams, \n channels: ['bing'], \n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'), }],\n queryFn: () =>\n fetchAggregatedData({\n ...queryparams,\n channels: ['bing'],\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n useEffect(() => {\n setPlatformsEnabled(false);\n\n setPlatforms(['bing']);\n\n return () => {\n setPlatformsEnabled(true);\n };\n }, []);\n\n const tooLittleData =\n (!bingcampaigndata?.data?.data || bingcampaigndata?.data?.data?.length === 0) && !isLoadingBingCampaignData;\n\n const tooLittleComparisonData =\n shallCompare &&\n (!bingTotalComparison?.data?.data ||\n !bingcampaignComparisonData?.data?.data ||\n bingcampaignComparisonData?.data?.data?.length === 0) &&\n !isLoadingBingCampaignComparisonData;\n\n return isLoadingBingCampaignData || isLoadingBingCampaignDataTotal || isLoadingBingCampaignComparisonData ? (\n \n {tooLittleData || tooLittleComparisonData ? (\n <>\n {tooLittleData && (\n \n Info \n There's not enough data. Please select a different date range.\n \n )}\n {tooLittleComparisonData && (\n \n Info \n There's not enough data to compare with the selected date range.\n \n )}\n \n ) : (\n \n );\n}\n\nexport default BingDataViews;\n","import http from 'Utils/Http/axioswrapper';\n\nconst fetchPortalUsers = async () => {\n const { data } = await http.get('/api/insights/portalusers');\n return data;\n};\n\nexport default fetchPortalUsers;\n","import PortalUserSelector from './PortalUserSelector';\n\nexport default PortalUserSelector;\n","import React, { useMemo } from 'react';\n\nimport Autocomplete from '@mui/material/Autocomplete';\nimport CircularProgress from '@mui/material/CircularProgress';\nimport Grid from '@mui/material/Grid';\nimport TextField from '@mui/material/TextField';\nimport { useQuery } from '@tanstack/react-query';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport fetchPortalUsers from 'Services/InsightsServices/fetchPortalUsers';\nimport { PortalUser } from 'Types/insightstypes';\n\ntype Props = {};\n\nconst PortalUserSelector = (props: Props) => {\n const { setPortalUser } = useInsightsQuery();\n const { data, isLoading } = useQuery({\n queryKey: ['organizations'],\n queryFn: fetchPortalUsers,\n });\n\n const portalusers = useMemo(() => {\n if (!data || data.length === 0) return [];\n return (\n data?.map((org) => ({\n id: org.id,\n label: org.name,\n currency: org.currency,\n })) || []\n );\n }, [data?.length]);\n\n return (\n \n (\n \n {option.label}\n \n )}\n id=\"portaluser-filter-selector\"\n sx={{ width: '100%' }}\n renderInput={(params) => {\n return (\n \n );\n};\n\nexport default PortalUserSelector;\n","import { getCookie } from 'Utils/Helpers';\nimport http from 'Utils/Http';\nimport { InsightsRequest } from '../../Types/insightstypes';\n\nconst fetchGoogleGampaignData = async (params: InsightsRequest) => {\n const { data } = await http.post('/api/insights/googlecampaigndata', { ...params });\n\n return data;\n};\n\nexport default fetchGoogleGampaignData;\n","import Grid from '@mui/material/Grid';\nimport helptexts, { HelpTextType } from '../../Assets/JSON/helptexts';\nimport { useInsightsQuery } from '../../Context/InsightsQueryContext';\nimport useChartDimensions from '../../Hooks/useChartDimensions';\nimport useComparisonData from '../../Hooks/useComparisonData';\nimport { GoogleCampaignDataType, GoogleCampaignDataByDateType } from '../../Types/insightstypes';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport { HumanReadableInsightsKPIsType, humanReadable } from '../../Utils/humanReadableTitles';\nimport * as d3 from 'd3';\nimport{ Suspense } from 'react';\nimport { BEIGE, ORANGE, BLUE, TEAL } from '../../Utils/colors';\nimport ChartSwitchWrapper from './Components/ChartSwitchWrapper';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport NivoLineChart from './Components/NivoLineChart';\nimport NivoMultipleLineChart from './Components/NivoMultipleLineChart/NivoMultipleLineChart';\nimport ChartHeader from './Components/ChartHeader';\nimport NivoBarDelta from './Components/NivoBarDelta';\n\ntype Props = {\n dataByDay: GoogleCampaignDataByDateType[];\n comparisondata: GoogleCampaignDataByDateType[];\n dataTotal: GoogleCampaignDataType;\n comparisonTotal: GoogleCampaignDataType;\n};\ninterface Datum {\n x?: Date | number | string;\n y?: Date | number | string;\n [key: string]: any;\n}\n\ninterface Serie {\n id: string | number;\n sortKey?: string | number;\n data: Datum[];\n [key: string]: any;\n}\n\nfunction dataGetter(\n accumulator: { [key: string]: Serie },\n currentValue: GoogleCampaignDataByDateType,\n currentIndex: number,\n array: GoogleCampaignDataByDateType[],\n isOriginal: boolean\n) {\n\n const keys = Object.keys(currentValue).sort((a, b) => {\n const indexA = metricSortOrder.indexOf(a.toLowerCase());\n const indexB = metricSortOrder.indexOf(b.toLowerCase());\n\n // If a and b are both in metricSortOrder, compare their positions\n if (indexA !== -1 && indexB !== -1) {\n return indexA - indexB;\n }\n\n // If only a is in metricSortOrder, it should come before b\n if (indexA !== -1) {\n return -1;\n }\n\n // If only b is in metricSortOrder, it should come before a\n if (indexB !== -1) {\n return 1;\n }\n\n // If neither a nor b are in metricSortOrder, no change in order\n return 0;\n });\n\n\n keys.forEach((key) => {\n const accumulatorKey = key as keyof GoogleCampaignDataByDateType;\n if (accumulatorKey === 'searchimpressionshare' || accumulatorKey === 'impressionshare') return accumulator;\n if (key !== 'reportdate') {\n const id = isOriginal ? key : `${key}_comparison`;\n if (!accumulator[accumulatorKey]) {\n accumulator[accumulatorKey] = { id, label: key, sortKey: key, data: [] };\n }\n accumulator[accumulatorKey].id = id;\n accumulator[accumulatorKey].label = key;\n accumulator[accumulatorKey].sortKey = key;\n accumulator[accumulatorKey].data = [\n ...accumulator[accumulatorKey].data,\n { x: dayjs(currentValue.reportdate).format('YYYY-MM-DD'), y: currentValue[accumulatorKey] },\n ];\n }\n });\n\n return accumulator;\n}\n\ntype DataPerCategoryType = {\n [key: string]: Serie;\n};\n\nconst chartSettings = {\n marginTop: 20,\n marginRight: 15,\n marginBottom: 40,\n marginLeft: 10,\n};\n\nconst metricSortOrder = [\n 'noofoperations',\n 'cost',\n 'conversionvalue',\n 'cpc',\n 'searchvolume',\n 'roas',\n 'returnonexpenditurevalue',\n 'conversions',\n 'conversionrate',\n 'convrate',\n 'searchimpressionshare',\n 'impressions',\n 'impressionshare',\n 'clicks',\n 'ctr',\n 'clickthroughrate',\n 'cpa'\n ];\n\nfunction GoogleCampaignDataMultiView({ dataByDay, dataTotal, comparisondata, comparisonTotal }: Props) {\n const {portalUser, shallCompare, queryparams} = useInsightsQuery();\n const [ref] = useChartDimensions(chartSettings);\n\n const [originalData, comparisonData, ...errors]: [DataPerCategoryType, DataPerCategoryType, ...string[]] =\n useComparisonData([dataByDay, comparisondata, dataGetter, queryparams]);\n\n return (\n \n {originalData &&\n Object.keys(originalData).map((key) => {\n const data = originalData[key as keyof GoogleCampaignDataType];\n const comparisondata = comparisonData[key as keyof GoogleCampaignDataType];\n\n const formatString =\n humanReadable.insightsKPIValueFormat[data?.sortKey as keyof HumanReadableInsightsKPIsType](portalUser);\n\n const metricValue = dataTotal?.[data?.sortKey as keyof GoogleCampaignDataType];\n const metricComparisonValue = shallCompare\n ? comparisonTotal[data?.sortKey as keyof GoogleCampaignDataType]\n : null;\n\n const formattedMetricValue = d3.format(formatString)(metricValue);\n const formattedMetricComparisonValue = shallCompare ? d3.format(formatString)(metricComparisonValue) : null;\n\n const helpTextKey =\n data?.label?.toUpperCase() === 'RETURNONEXPENDITUREVALUE'\n ? portalUser.return_on_expenditure_type.toUpperCase()\n : (data?.label?.toUpperCase() as keyof HelpTextType);\n\n const helpTextTitle = helptexts[helpTextKey as keyof HelpTextType]?.title;\n const helpText = helptexts[helpTextKey as keyof HelpTextType]?.content;\n const label =\n typeof data?.label === 'string'\n ? humanReadable.insightsKPIs[data?.label as keyof HumanReadableInsightsKPIsType](portalUser).toUpperCase()\n : data?.label;\n return (\n Loading...} key={data?.id}>\n {data?.label === 'searchvolume' ? (\n \n \n
\n {metricValue && (\n \n
\n {shallCompare && comparisondata ? (\n \n {(showDelta) =>\n !showDelta ? (\n \n ) : (\n \n Loading...
}>\n \n ) : (\n \n \n
\n \n
\n {shallCompare && comparisondata ? (\n \n {(showDelta) =>\n !showDelta ? (\n \n ) : (\n \n Loading...
}>\n \n )}\n \n );\n })}\n \n );\n}\n\nexport default GoogleCampaignDataMultiView;\n","import fetchGoogleGampaignData from 'Services/InsightsServices/fetchGoogleGampaignData';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport { GoogleCampaignDataByDateType } from '../../Types/insightstypes';\nimport LoadingScreen from './Components/LoadingScreen';\nimport Alert from '@mui/material/Alert';\nimport AlertTitle from '@mui/material/AlertTitle';\nimport { useInsightsQuery } from '../../Context/InsightsQueryContext';\nimport { useQuery } from '@tanstack/react-query';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport GoogleCampaignDataMultiView from './GoogleCampaignDataMultiView';\nimport React, { useEffect } from 'react';\nimport fetchAggregatedData from '../../Services/InsightsServices/fetchAggregatedData';\n\ntype QueryReturnType = {\n data: { data: GoogleCampaignDataByDateType[] };\n isLoading: boolean;\n};\n\nfunction GoogleCampaignDataViews() {\n const {\n queryparams,\n isReadyToRun,\n shallCompare,\n alternateStartDate,\n alternateEndDate,\n setPlatformsEnabled,\n setPlatforms,\n } = useInsightsQuery();\n\n //Ordinary by day\n const { data: googlecampaigndata, isLoading: isLoadingGoogleCampaignData } = useQuery({\n queryKey: ['googlecampaigndata', { ...queryparams }],\n queryFn: () => fetchGoogleGampaignData(queryparams),\n enabled: isReadyToRun,\n });\n\n //Ordinary Comparison by day\n const { data: googlecampaignComparisonData, isLoading: isLoadingGoogleCampaignComparisonData } =\n useQuery({\n queryKey: [\n 'googlecampaigndataComparisonData',\n { ...queryparams, startdate: alternateStartDate, enddate: alternateEndDate },\n ],\n queryFn: () =>\n fetchGoogleGampaignData({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n useEffect(() => {\n setPlatformsEnabled(false);\n\n setPlatforms(['google']);\n\n return () => {\n setPlatformsEnabled(true);\n };\n }, []);\n\n //Aggregated for a specific period\n const { data: googlecampaigndataTotal, isLoading: isLoadingGoogleCampaignDataTotal } = useQuery({\n queryKey: ['aggregateddataForGoogle', { ...queryparams }],\n queryFn: () => fetchAggregatedData({ ...queryparams, channels: ['google'] }),\n enabled: isReadyToRun,\n });\n\n //Aggregated comparison for a specific period\n const { data: googleTotalComparison, isLoading: isLoadingGoogleTotalComparison } = useQuery({\n queryKey: ['aggregateddataComparisonForGoogle', { \n ...queryparams, \n channels: ['google'], \n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD') }],\n queryFn: () =>\n fetchAggregatedData({\n ...queryparams,\n channels: ['google'],\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n const tooLittleData =\n (!googlecampaigndata?.data?.data || googlecampaigndata?.data?.data?.length === 0) && !isLoadingGoogleCampaignData;\n\n const tooLittleComparisonData =\n shallCompare &&\n (!googleTotalComparison?.data?.data ||\n !googlecampaignComparisonData?.data?.data ||\n googlecampaignComparisonData?.data?.data?.length === 0) &&\n !isLoadingGoogleCampaignComparisonData;\n\n return isLoadingGoogleCampaignData || isLoadingGoogleCampaignDataTotal || isLoadingGoogleCampaignComparisonData ? (\n \n {tooLittleData || tooLittleComparisonData ? (\n <>\n {tooLittleData && (\n \n Info \n There's not enough data. Please select a different date range.\n \n )}\n {tooLittleComparisonData && (\n \n Info \n There's not enough data to compare with the selected date range.\n \n )}\n \n ) : (\n \n );\n}\n\nexport default GoogleCampaignDataViews;\n","import Grid from '@mui/material/Grid';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport * as d3 from 'd3';\nimport { Suspense } from 'react';\nimport helptexts, { HelpTextType } from '../../Assets/JSON/helptexts';\nimport { useInsightsQuery } from '../../Context/InsightsQueryContext';\nimport useChartDimensions from '../../Hooks/useChartDimensions';\nimport useComparisonData from '../../Hooks/useComparisonData';\nimport { FacebookCampaignDataByDateType, FacebookCampaignDataType } from '../../Types/insightstypes';\nimport { BEIGE, BLUE, ORANGE, TEAL } from '../../Utils/colors';\nimport { HumanReadableInsightsKPIsType, humanReadable } from '../../Utils/humanReadableTitles';\nimport ChartHeader from './Components/ChartHeader';\nimport ChartSwitchWrapper from './Components/ChartSwitchWrapper';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport NivoBarDelta from './Components/NivoBarDelta';\nimport NivoLineChart from './Components/NivoLineChart';\nimport NivoMultipleLineChart from './Components/NivoMultipleLineChart/NivoMultipleLineChart';\n\ntype Props = {\n dataByDay: FacebookCampaignDataByDateType[];\n comparisondata: FacebookCampaignDataByDateType[];\n dataTotal: FacebookCampaignDataType;\n comparisonTotal: FacebookCampaignDataType;\n};\n\ninterface Datum {\n x?: Date | number | string;\n y?: Date | number | string;\n\n [key: string]: any;\n}\n\ninterface Serie {\n id: string | number;\n sortKey?: string | number;\n data: Datum[];\n\n [key: string]: any;\n}\n\nfunction dataGetter(\n accumulator: { [key: string]: Serie },\n currentValue: FacebookCampaignDataByDateType,\n currentIndex: number,\n array: FacebookCampaignDataByDateType[],\n isOriginal: boolean\n) {\n const keys = Object.keys(currentValue).sort((a, b) => {\n return (metricSortOrder.indexOf(a.toLowerCase()) || 1) - (metricSortOrder.indexOf(b.toLowerCase()) || -1);\n });\n keys.forEach((key) => {\n const accumulatorKey = key as keyof FacebookCampaignDataByDateType;\n if (accumulatorKey === 'searchimpressionshare'\n || accumulatorKey === 'impressionshare'\n || accumulatorKey === 'searchvolume'\n\n\n ) return accumulator;\n\n if (key !== 'reportdate') {\n const id = isOriginal ? key : `${key}_comparison`;\n if (!accumulator[accumulatorKey]) {\n accumulator[accumulatorKey] = {id, label: key, sortKey: key, data: []};\n }\n accumulator[accumulatorKey].id = id;\n accumulator[accumulatorKey].label = key;\n accumulator[accumulatorKey].sortKey = key;\n accumulator[accumulatorKey].data = [\n ...accumulator[accumulatorKey].data,\n {x: dayjs(currentValue.reportdate).format('YYYY-MM-DD'), y: currentValue[accumulatorKey]},\n ];\n }\n });\n\n return accumulator;\n}\n\ntype DataPerCategoryType = {\n [key: string]: Serie;\n};\n\nconst chartSettings = {\n marginTop: 20,\n marginRight: 15,\n marginBottom: 40,\n marginLeft: 10,\n};\n\nconst metricSortOrder = [\n 'cost',\n 'conversionvalue',\n 'roas',\n 'returnonexpenditurevalue',\n 'conversions',\n 'conversionrate',\n 'convrate',\n 'cpc',\n 'searchvolume',\n 'searchimpressionshare',\n 'impressions',\n 'impressionshare',\n 'clicks',\n 'ctr',\n 'clickthroughrate',\n 'cpa',\n 'reach',\n 'frequency',\n 'pageview',\n 'landingpageviews',\n 'newusers',\n 'returningusers',\n 'uniqueusers',\n];\n\nfunction FacebookCampaignDataMultiView({dataByDay, dataTotal, comparisondata, comparisonTotal}: Props) {\n const {portalUser, shallCompare, queryparams} = useInsightsQuery();\n const [ref, dms] = useChartDimensions(chartSettings);\n\n const [originalData, comparisonData, ...errors]: [DataPerCategoryType, DataPerCategoryType, ...string[]] =\n useComparisonData([dataByDay, comparisondata, dataGetter, queryparams]);\n\n\n return (\n \n {originalData &&\n Object.keys(originalData).map((key) => {\n const data = originalData[key as keyof FacebookCampaignDataType];\n const comparisondata = comparisonData[key as keyof FacebookCampaignDataType];\n\n const formatString =\n humanReadable.insightsKPIValueFormat[data?.sortKey as keyof HumanReadableInsightsKPIsType](portalUser);\n\n const metricValue = dataTotal?.[data?.sortKey as keyof FacebookCampaignDataType];\n const metricComparisonValue = shallCompare\n ? comparisonTotal[data?.sortKey as keyof FacebookCampaignDataType]\n : null;\n\n const formattedMetricValue = d3.format(formatString)(metricValue);\n const formattedMetricComparisonValue = shallCompare ? d3.format(formatString)(metricComparisonValue) : null;\n\n const helpTextKey =\n data?.label?.toUpperCase() === 'RETURNONEXPENDITUREVALUE'\n ? portalUser.return_on_expenditure_type.toUpperCase()\n : (data?.label?.toUpperCase() as keyof HelpTextType);\n\n const helpTextTitle = helptexts[helpTextKey as keyof HelpTextType]?.title;\n const helpText = helptexts[helpTextKey as keyof HelpTextType]?.content;\n const label =\n typeof data?.label === 'string'\n ? humanReadable.insightsKPIs[data?.label as keyof HumanReadableInsightsKPIsType](portalUser).toUpperCase()\n : data?.label;\n\n return (\n Loading...} key={data?.id}>\n \n \n
\n \n
\n {shallCompare && comparisondata ? (\n \n {(showDelta) =>\n !showDelta ? (\n \n ) : (\n \n Loading...
}>\n \n \n );\n })}\n \n );\n}\n\n\nexport default FacebookCampaignDataMultiView;","import { getCookie } from 'Utils/Helpers';\nimport http from 'Utils/Http';\nimport { InsightsRequest } from '../../Types/insightstypes';\n\nconst fetchMetaAggregatedData = async (params: InsightsRequest) => {\n const { data } = await http.post('/api/insights/facebookaggregateddata', { ...params });\n\n return data;\n};\n\nexport default fetchMetaAggregatedData;\n","import { getCookie } from 'Utils/Helpers';\nimport http from 'Utils/Http';\nimport { InsightsRequest } from '../../Types/insightstypes';\n\nconst fetchMetaCampaignData = async (params: InsightsRequest) => {\n const { data } = await http.post('/api/insights/facebookcampaigndata', { ...params });\n\n return data;\n};\n\nexport default fetchMetaCampaignData;\n","import { dayjs } from '../../Utils/DayJs/dayjsWrapper';\nimport { FacebookCampaignDataByDateType } from '../../Types/insightstypes';\nimport LoadingScreen from './Components/LoadingScreen';\nimport Alert from '@mui/material/Alert';\nimport AlertTitle from '@mui/material/AlertTitle';\nimport { useInsightsQuery } from '../../Context/InsightsQueryContext';\nimport { useQuery } from '@tanstack/react-query';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport MetaDataMultiView from './MetaDataMultiView';\nimport React, { useEffect, useMemo } from 'react';\nimport fetchMetaAggregatedData from '../../Services/InsightsServices/fetchMetaAggregatedData';\nimport fetchMetaCampaignData from '../../Services/InsightsServices/fetchMetaCampaignData';\n\ntype QueryReturnType = {\n data: { data: FacebookCampaignDataByDateType[] };\n isLoading: boolean;\n};\n\nfunction MetaDataViews() {\n const {\n queryparams,\n isReadyToRun,\n shallCompare,\n alternateStartDate,\n alternateEndDate,\n setPlatformsEnabled,\n setPlatforms,\n } = useInsightsQuery();\n\n //Ordinary by day\n const { data: facebookcampaigndata, isLoading: isLoadingFacebookCampaignData } = useQuery({\n queryKey: ['facebookcampaigndata', { ...queryparams, channels: ['meta'] }],\n queryFn: () => fetchMetaCampaignData(queryparams),\n enabled: isReadyToRun,\n });\n\n //Ordinary Comparison by day\n const { data: facebookcampaignComparisonData, isLoading: isLoadingFacebookCampaignComparisonData } =\n useQuery({\n queryKey: [\n 'facebookcampaignComparisonData',\n { ...queryparams, startdate: alternateStartDate, enddate: alternateEndDate, channels: ['meta'] },\n ],\n queryFn: () =>\n fetchMetaCampaignData({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n //Aggregated for a specific period\n const { data: facebookcampaigndataTotal, isLoading: isLoadingFacebookCampaignDataTotal } = useQuery({\n queryKey: ['aggregatedFacebookData', { ...queryparams }],\n queryFn: () => fetchMetaAggregatedData({ ...queryparams, channels: ['meta'] }),\n enabled: isReadyToRun,\n });\n\n //Aggregated comparison for a specific period\n const { data: facebookTotalComparison, isLoading: isLoadingFacebookTotalComparison } = useQuery({\n queryKey: ['aggregateddataFacebookComparison', { \n ...queryparams, \n channels: ['meta'],\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'), }],\n queryFn: () =>\n fetchMetaAggregatedData({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n useEffect(() => {\n setPlatformsEnabled(false);\n\n setPlatforms(['meta']);\n\n return () => {\n setPlatformsEnabled(true);\n };\n }, []);\n\n const tooLittleData =\n (!facebookcampaigndata?.data?.data || facebookcampaigndata?.data?.data?.length === 0) &&\n !isLoadingFacebookCampaignData;\n\n const tooLittleComparisonData =\n shallCompare &&\n (!facebookTotalComparison?.data?.data ||\n !facebookcampaignComparisonData?.data?.data ||\n facebookcampaignComparisonData?.data?.data?.length === 0) &&\n !isLoadingFacebookCampaignComparisonData;\n\n return isLoadingFacebookCampaignData ||\n isLoadingFacebookCampaignDataTotal ||\n isLoadingFacebookCampaignComparisonData ? (\n \n {tooLittleData || tooLittleComparisonData ? (\n <>\n {tooLittleData && (\n \n Info \n There's not enough data. Please select a different date range.\n \n )}\n {tooLittleComparisonData && (\n \n Info \n There's not enough data to compare with the selected date range.\n \n )}\n \n ) : (\n \n );\n}\n\nexport default MetaDataViews;\n","import { InsightsRequest } from 'Types/insightstypes';\nimport http from 'Utils/Http';\n\nconst fetchAggregatedBudgetData = async (params: InsightsRequest) => {\n const { data } = await http.post('/api/insights/aggregatedbudgetdata', { ...params });\n\n return data;\n};\n\nexport default fetchAggregatedBudgetData;\n","import { getCookie } from 'Utils/Helpers';\nimport http from 'Utils/Http';\nimport { InsightsRequest } from '../../Types/insightstypes';\n\nconst fetchBudgetDistributionData = async (params: InsightsRequest) => {\n const { data } = await http.post('/api/insights/budgetdistributiondata', { ...params });\n\n return data;\n};\n\nexport default fetchBudgetDistributionData;\n","import Grid from '@mui/material/Grid';\nimport helptexts, { HelpTextType } from 'Assets/JSON/helptexts';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport useChartDimensions from 'Hooks/useChartDimensions';\nimport useComparisonData from 'Hooks/useComparisonData';\nimport { BudgetDataByDateType, BudgetDataType } from 'Types/insightstypes';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport { HumanReadableInsightsKPIsType, humanReadable } from 'Utils/humanReadableTitles';\nimport * as d3 from 'd3';\nimport { Suspense } from 'react';\nimport { BEIGE, BLUE, ORANGE, TEAL, LIGHTBEIGE } from '../../Utils/colors';\nimport ChartHeader from './Components/ChartHeader';\nimport ChartSwitchWrapper from './Components/ChartSwitchWrapper';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport NivoBarDelta from './Components/NivoBarDelta';\nimport NivoLineChart from './Components/NivoLineChart';\nimport NivoMultipleLineChart from './Components/NivoMultipleLineChart/NivoMultipleLineChart';\nimport { useState } from 'react';\nimport { Alert, Typography } from '@mui/material';\n\n\ntype Props = {\n dataByDate: BudgetDataByDateType[];\n comparisondata: BudgetDataByDateType[];\n dataTotal: BudgetDataType;\n comparisonTotal: BudgetDataType;\n};\ninterface Datum {\n x?: Date | number | string;\n y?: Date | number | string;\n [key: string]: any;\n}\n\ninterface Serie {\n id: string | number;\n sortKey?: string | number;\n data: Datum[];\n [key: string]: any;\n}\n\n\nfunction dataGetter(\n accumulator: { [key: string]: Serie },\n currentValue: BudgetDataByDateType,\n currentIndex: number,\n array: BudgetDataByDateType[],\n isOriginal: boolean\n) {\n Object.keys(currentValue).forEach((key) => {\n if (key !== 'budgetdate') {\n const accumulatorKey = key as keyof BudgetDataByDateType;\n const id = isOriginal ? key : `${key}_comparison`;\n if (!accumulator[accumulatorKey]) {\n accumulator[accumulatorKey] = { id, label: key, sortKey: key, data: [] };\n }\n accumulator[accumulatorKey].data.push({\n x: dayjs(currentValue.budgetdate).format('YYYY-MM-DD'),\n y: currentValue[accumulatorKey],\n });\n }\n });\n\n return accumulator;\n}\n\n\ntype DataPerCategoryType = {\n [key: string]: Serie;\n};\n\nconst chartSettings = {\n marginTop: 20,\n marginRight: 15,\n marginBottom: 40,\n marginLeft: 10,\n};\n\n\nfunction BudgetDataMultiView({ dataByDate, dataTotal, comparisondata, comparisonTotal }: Props) {\n const { portalUser, shallCompare, queryparams} = useInsightsQuery();\n const [ref] = useChartDimensions(chartSettings);\n const [originalData, comparisonData]: [DataPerCategoryType, DataPerCategoryType, ...string[]] =\n useComparisonData([dataByDate, comparisondata, dataGetter, queryparams]);\n const [showAlert, setShowAlert] = useState(true);\n\n\nreturn (\n \n {originalData &&\n Object.keys(originalData).map((key) => {\n const data = originalData[key as keyof BudgetDataType];\n const comparisondata = comparisonData[key as keyof BudgetDataType];\n\n const formatString =\n humanReadable.insightsKPIValueFormat[data?.sortKey as keyof HumanReadableInsightsKPIsType](portalUser);\n\n const metricValue = dataTotal?.[data?.sortKey as keyof BudgetDataType] ?? 0;\n const metricComparisonValue = shallCompare\n ? comparisonTotal[data?.sortKey as keyof BudgetDataType]\n : null;\n\n const formattedMetricValue = d3.format(formatString)(metricValue);\n const formattedMetricComparisonValue = shallCompare ? d3.format(formatString)(metricComparisonValue) : null;\n\n const helpTextKey = data?.label?.toUpperCase() as keyof HelpTextType;\n\n const helpTextTitle = helptexts[helpTextKey as keyof HelpTextType]?.title;\n const helpText = helptexts[helpTextKey as keyof HelpTextType]?.content;\n const label =\n typeof data?.label === 'string'\n ? humanReadable.insightsKPIs[data?.label as keyof HumanReadableInsightsKPIsType](portalUser).toUpperCase()\n : data?.label;\n\n return (\n Loading...} key={data?.id}>\n \n \n
\n \n
\n Budget amounts are campaign expenditure estimates made by Amanda.\n \n
\n {shallCompare && comparisondata ? (\n \n {(showDelta) =>\n !showDelta ? (\n \n ) : (\n \n Loading...
}>\n \n \n );\n})}\n\n {showAlert && (\n \n \n Choosing different time periods for comparison won't have an effect since budget estimates \n reflect only today's calculations for the current month.\n \n \n \n )}\n \n);\n}\n\n\nexport default BudgetDataMultiView;\n\n","import { useEffect } from 'react';\nimport { Alert } from '@mui/material';\nimport AlertTitle from '@mui/material/AlertTitle';\nimport { useQuery } from '@tanstack/react-query';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport fetchAggregatedBudgetData from 'Services/InsightsServices/fetchAggregatedBudgetData';\nimport fetchBudgetDistributionData from 'Services/InsightsServices/fetchBudgetDistributionData';\nimport { BudgetDataByDateType } from 'Types/insightstypes';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport BudgetDataMultiView from './BudgetDataMultiView';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport LoadingScreen from './Components/LoadingScreen';\n\ntype QueryReturnType = {\n data: { data: BudgetDataByDateType[] };\n isLoading: boolean;\n};\n\nfunction BudgetDataViews() {\n const {\n queryparams,\n isReadyToRun,\n shallCompare,\n alternateStartDate,\n alternateEndDate,\n setPlatformsEnabled,\n setPlatforms,\n } = useInsightsQuery();\n\n const { data: aggregatedbydate, isLoading: isLoadingAggregatedByDate } = useQuery({\n queryKey: ['budgetdistributiondata', { ...queryparams }],\n queryFn: () => fetchBudgetDistributionData(queryparams ),\n enabled: isReadyToRun,\n });\n\n const { data: aggregatedbydateComparisonData, isLoading: isLoadingAggregatedByDateComparisonData } =\n useQuery({\n queryKey: [\n 'budgetdistributiondataComparisonData',\n { ...queryparams, startdate: alternateStartDate, enddate: alternateEndDate },\n ],\n queryFn: () =>\n fetchBudgetDistributionData({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n\n const { data: aggregatedtotal, isLoading: isLoadingAggregatedTotal } = useQuery({\n queryKey: ['aggregatedBudgetData', { ...queryparams }],\n queryFn: () => fetchAggregatedBudgetData(queryparams),\n enabled: isReadyToRun,\n });\n \n \n const { data: aggregatedTotalComparison, isLoading: isLoadingAggregatedTotalComparison } = useQuery({\n queryKey: ['aggregateddataBudgetComparison', {\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }],\n queryFn: () =>\n fetchAggregatedBudgetData({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n \n const tooLittleData =\n (!aggregatedbydate?.data?.data || aggregatedbydate?.data?.data?.length === 0) && !isLoadingAggregatedByDate;\n\n const tooLittleComparisonData =\n shallCompare &&\n (!aggregatedTotalComparison?.data?.data ||\n !aggregatedbydateComparisonData?.data?.data ||\n aggregatedbydateComparisonData?.data?.data?.length === 0) &&\n !isLoadingAggregatedByDateComparisonData;\n\n useEffect(() => {\n setPlatformsEnabled(true);\n\n setPlatforms(['meta', 'google', 'bing']);\n\n return () => {\n setPlatformsEnabled(true);\n };\n }, []);\n\n return isLoadingAggregatedByDate || isLoadingAggregatedTotal || isLoadingAggregatedByDateComparisonData ? (\n \n {tooLittleData || tooLittleComparisonData ? (\n <>\n {tooLittleData && (\n \n Info \n There's not enough data. Please select a different date range.\n \n )}\n {tooLittleComparisonData && (\n \n Info \n There's not enough data to compare with the selected date range.\n \n )}\n \n ) : (\n \n );\n}\n\nexport default BudgetDataViews;\n","import { InsightsRequest } from 'Types/insightstypes';\nimport http from 'Utils/Http';\n\nconst fetchInsightsFilters = async (params: InsightsRequest) => {\n const { data } = await http.get(`/api/insights/filters/${params.portaluser}`);\n\n return data;\n};\n\nexport default fetchInsightsFilters;\n","import CountryFilterSelector from './CountryFilterSelector';\n\nexport default CountryFilterSelector;\n","import Autocomplete from '@mui/material/Autocomplete';\nimport TextField from '@mui/material/TextField';\nimport { Col, Row } from 'antd';\nimport React, { useEffect, useState } from 'react';\nimport { useQuery } from '@tanstack/react-query';\nimport fetchInsightsFilters from 'Services/InsightsServices/fetchInsightsFilters';\nimport { Filters } from 'Types/insightstypes';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport CircularProgress from '@mui/material/CircularProgress';\nimport Grid from '@mui/material/Grid';\n\nconst CountryFilterSelector = () => {\n const [countryOptions, setCountryOptions] = useState([]);\n const { queryparams, setCountries, portalUser, countries } = useInsightsQuery();\n const { data, isLoading } = useQuery({\n queryKey: ['insightsfilters', { ...queryparams }],\n queryFn: () => fetchInsightsFilters(queryparams),\n enabled: !!portalUser && countries.length === 0,\n refetchInterval: false,\n });\n\n useEffect(() => {\n if (data?.data?.data?.countries) {\n setCountries(data?.data?.data?.countries.filter((country) => country !== null) as string[]);\n setCountryOptions(data?.data?.data?.countries.filter((country) => country !== null) as string[]);\n }\n }, [data?.data?.data?.countries?.toString()]);\n\n return (\n \n (\n \n );\n};\n\nexport default CountryFilterSelector;\n","import React from 'react';\nimport FormControlLabel from '@mui/material/FormControlLabel';\nimport Switch from '@mui/material/Switch';\nimport { useInsightsQuery } from '../../../../Context/InsightsQueryContext';\n\nconst IncludeBrandSwitch = () => {\n const { includeBrandCampaigns, setIncludeBrandCampaigns } = useInsightsQuery();\n const handleIncludeBrand = (event: React.ChangeEvent) => {\n const checked = event.target.checked;\n setIncludeBrandCampaigns(checked);\n includeBrandCampaigns !== checked && setIncludeBrandCampaigns(checked);\n };\n return (\n ([]);\n const { platforms, queryparams, platformsEnabled, setPlatforms, portalUser } = useInsightsQuery();\n const { data, isLoading } = useQuery({\n queryKey: ['insightsfilters', { ...queryparams }],\n queryFn: () => fetchInsightsFilters(queryparams),\n enabled: !!portalUser && platforms?.length === 0,\n refetchInterval: false,\n });\n\n useEffect(() => {\n if (data?.data?.data?.platforms) {\n setPlatforms(data?.data?.data?.platforms.filter((platform) => platform !== null) as string[]);\n setPlatformOptions(data?.data?.data?.platforms.filter((platform) => platform !== null) as string[]);\n }\n }, [data?.data?.data?.platforms?.toString()]);\n\n function handleChange(event: React.ChangeEvent) {\n const valueToAdd = event.target.value;\n event.target.checked\n ? setPlatforms((prevPlatforms) => [...prevPlatforms, valueToAdd])\n : setPlatforms((prevPlatforms) => prevPlatforms.filter((value) => value !== valueToAdd));\n }\n\n return (\n \n \n \n \n {isLoading ? (\n \n \n \n \n );\n}\n\nexport default PlatformSelector;\n","import PlatformSelector from './PlatformSelector';\n\nexport default PlatformSelector;\n","import http from 'Utils/Http';\nimport { InsightsRequest } from '../../Types/insightstypes';\n\nconst fetchKeywordData = async (params: InsightsRequest) => {\n const { data } = await http.post('/api/insights/keyworddata', { ...params });\n\n return data;\n};\n\nexport default fetchKeywordData;\n","import api from \"!../../../../../node_modules/style-loader/dist/runtime/injectStylesIntoStyleTag.js\";\n import content from \"!!../../../../../node_modules/css-loader/dist/cjs.js!../../../../../node_modules/less-loader/dist/cjs.js??ruleSet[1].rules[2].use[2]!./beeswarm.css\";\n\nvar options = {};\n\noptions.insert = \"head\";\noptions.singleton = false;\n\nvar update = api(content, options);\n\n\n\nexport default content.locals || {};","import Divider from '@mui/material/Divider';\nimport { BarTooltipProps } from '@nivo/bar';\nimport { ResponsiveSwarmPlotCanvas } from '@nivo/swarmplot';\nimport { keyworddata } from 'Types/insightstypes';\nimport { BLACK } from 'Utils/colors';\nimport * as d3 from 'd3';\nimport React, { memo, useEffect, useState, useTransition } from 'react';\n\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport LoadingScreen from '../LoadingScreen';\nimport './beeswarm.css';\nimport { useTheme } from '@mui/material/styles';\nimport useMediaQuery from '@mui/material/useMediaQuery';\n\ntype Props = {\n keyworddata: keyworddata[];\n};\n\nconst CustomTooltip = ({\n data,\n id,\n color,\n value,\n}: Omit, 'hidden' | 'indexValue' | 'label' | 'index' | 'formattedValue'>) => {\n const { portalUser } = useInsightsQuery();\n const qsFormat = d3.format('.2f');\n const cvFormat = d3.format('.2f');\n const clicksFormat = d3.format('.2s');\n const ctrFormat = d3.format('.2%');\n const impressionsFormat = d3.format('.2f');\n\n return (\n \n
\n \n \n \n {id} \n \n
\n \n
\n \n Quality Score: {qsFormat(value)}\n \n \n Conversion Value: {cvFormat(data.conversionvalue)}\n \n\n \n Clicks: {clicksFormat(data.clicks)}\n \n \n CTR: {ctrFormat(data.clickthroughrate)}\n \n \n Impressions: {impressionsFormat(data.impressions)}\n \n \n
-.2f\"\n valueScale={{ type: 'linear', min: 0, max: 10, reverse: false }}\n colors={'rgba(70,190,255, 0.7)'}\n size={{\n key: 'conversionvalue',\n values: conversionvalueDomain,\n sizes: sizes,\n }}\n borderWidth={1}\n borderColor={BLACK}\n spacing={9}\n layout=\"horizontal\"\n gap={3}\n forceStrength={8}\n simulationIterations={160}\n colorBy=\"id\"\n margin={margins}\n axisRight={null}\n axisBottom={{\n tickSize: 10,\n tickPadding: 5,\n tickRotation: 0,\n legend: 'Quality Score',\n legendPosition: 'end',\n legendOffset: 60,\n }}\n axisTop={{\n tickSize: 10,\n tickPadding: 5,\n tickRotation: 0,\n legend: 'Quality Score',\n legendPosition: 'start',\n legendOffset: -40,\n }}\n axisLeft={null}\n tooltip={(props) => (\n , 'hidden' | 'indexValue' | 'label' | 'index' | 'formattedValue'>) => {\n const { portalUser } = useInsightsQuery();\n const qsFormat = d3.format('.2f');\n const cvFormat = d3.format('.2f');\n const clicksFormat = d3.format('.2s');\n const ctrFormat = d3.format('.2%');\n const impressionsFormat = d3.format('.2f');\n\n return (\n \n
\n \n \n \n {id} \n \n
\n \n
\n \n Quality Score: {qsFormat(value)}\n \n \n Conversion Value: {cvFormat(data.conversionvalue)}\n \n\n \n Clicks: {clicksFormat(data.clicks)}\n \n \n CTR: {ctrFormat(data.clickthroughrate)}\n \n \n Impressions: {impressionsFormat(data.impressions)}\n \n \n
-.2f\"\n valueScale={{ type: 'linear', min: 0, max: 10, reverse: false }}\n colors={'rgba(70,190,255, 0.7)'}\n size={{\n key: 'conversionvalue',\n values: conversionvalueDomain,\n sizes: sizes,\n }}\n borderWidth={1}\n borderColor={BLACK}\n spacing={9}\n layout=\"horizontal\"\n gap={3}\n forceStrength={8}\n simulationIterations={160}\n colorBy=\"id\"\n margin={margins}\n axisRight={null}\n axisBottom={{\n tickSize: 10,\n tickPadding: 5,\n tickRotation: 0,\n legend: 'Quality Score',\n legendPosition: 'end',\n legendOffset: 60,\n }}\n axisTop={{\n tickSize: 10,\n tickPadding: 5,\n tickRotation: 0,\n legend: 'Quality Score',\n legendPosition: 'start',\n legendOffset: -40,\n }}\n axisLeft={null}\n tooltip={(props) => (\n \n {tooLittleData ? (\n \n Info \n There's not enough data. Please select a different date range.\n \n ) : (\n \n Keyword Plot \n \n This chart shows keywords organized horizontally by their Quality Score. The size of the bubble represents\n the conversion value amount.\n
\n \n {keyworddata?.length > 2000 ? (\n
\n \n )}\n \n );\n};\n\nexport default KeywordDataBeeSwarmChartView;\n","import ArrowDropDownIcon from '@mui/icons-material/ArrowDropDown';\nimport ArrowDropUpIcon from '@mui/icons-material/ArrowDropUp';\nimport { TableHead } from '@mui/material';\nimport Stack from '@mui/material/Stack';\nimport Table from '@mui/material/Table';\nimport TableBody from '@mui/material/TableBody';\nimport TableCell from '@mui/material/TableCell';\nimport TableContainer from '@mui/material/TableContainer';\nimport TableRow from '@mui/material/TableRow';\nimport { BLACK, LIGHTBLUE } from 'Utils/colors';\nimport {\n HumanReadableInsightsKPIsType,\n humanReadable,\n HumanReadableInsightsKPIsValueFormatType,\n} from 'Utils/humanReadableTitles';\nimport React from 'react';\nimport HelpModal from '../HelpModal/HelpModal';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport { validateDate } from '@mui/x-date-pickers/internals';\nimport * as d3 from 'd3';\n\ntype Props = {\n tabledata: { [key: string]: string | number }[];\n title?: string;\n helptext?: string;\n foregroundcolor?: string;\n backgroundcolor?: string;\n makeHumanReadble?: boolean;\n};\n\nconst arrowIcon = [\n \n \n {title && (\n \n \n \n \n {title} \n \n \n \n \n {Object.keys(tabledata[0]).map((item, index) => (\n 0 ? 'right' : 'left'}>\n {humanReadable.insightsKPIs[item as keyof HumanReadableInsightsKPIsType](portalUser) || item} \n \n ))}\n \n \n )}\n \n {tabledata.map((item) => {\n return (\n \n {Object.entries(item).map((entry, index) => {\n return (\n 0 ? 'right' : 'left'}\n scope=\"row\"\n sx={{ borderBottom: '1px solid black', maxWidth: '300px', width: '70%' }}\n >\n {validateDate ? (\n <>\n {typeof entry[1] === 'number'\n ? d3.format(\n humanReadable.insightsKPIValueFormat[\n entry[0] as keyof HumanReadableInsightsKPIsValueFormatType\n ](portalUser)\n )(entry[1])\n : entry[1]}\n \n ) : (\n '-'\n )}\n \n );\n })}\n \n );\n })}\n \n
\n \n );\n}\n\nexport default SimpleTableList;\n","import SimpleTableList from './SimpleTableList';\n\nexport default SimpleTableList;\n","import fetchKeywordData from 'Services/InsightsServices/fetchKeywordData';\nimport { InsightsKPISchemaType, keyworddata } from 'Types/insightstypes';\nimport { LIGHTBLUE } from 'Utils/colors';\nimport React, { useMemo } from 'react';\nimport { useQuery } from '@tanstack/react-query';\nimport { useInsightsQuery } from '../../Context/InsightsQueryContext';\nimport SimpleTableList from './Components/SimpleTableList';\nimport { ErrorBoundary } from '@sentry/react';\nimport Grid from '@mui/material/Grid';\nimport * as d3 from 'd3';\nimport helptexts from 'Assets/JSON/helptexts';\nimport { qualityscores } from '../../Mock/Keywords/index';\nimport LoadingScreen from './Components/LoadingScreen';\n\ntype Props = {};\n\nfunction KeywordDataTableView({}: Props) {\n const { queryparams, isReadyToRun } = useInsightsQuery();\n const { data, isLoading, isFetching } = useQuery({\n queryKey: ['keyworddata', { ...queryparams }],\n queryFn: () => fetchKeywordData(queryparams),\n enabled: isReadyToRun,\n });\n const keyworddata: keyworddata[] = data?.data?.data || [];\n\n /**\n * Keyword data is calculated by multiplying a scaled down quality score with conversion value\n * The result is then sorted in descending order\n * The top 15 keywords are then selected\n */\n const sortedAndWeightedData: { keyword: string; qualityscore: number }[] = useMemo(() => {\n const weightedKeywordData = keyworddata\n .filter((item) => item.qualityscore > 0)\n .map((item) => {\n const qualityscore = item.qualityscore * 0.01 * item.conversionvalue;\n return { ...item, qualityscore };\n });\n return weightedKeywordData\n .sort((a, b) => b.qualityscore - a.qualityscore)\n .slice(0, 15)\n .map((item) => ({ keyword: item.keyword, qualityscore: item.qualityscore }));\n }, [keyworddata]);\n\n /**\n * Keyword data is sorted by quality score\n * The result is then sorted in descending order\n * The result is then sorted by click through rate\n * The result is then sorted in descending order\n * The top 15 keywords are then selected\n * */\n const keyWordsWithPotential: { keyword: string; qualityscore: number; clickthroughrate: number }[] = useMemo(() => {\n const potentialKeywords: keyworddata[] = keyworddata\n // Larger QS than 0 because 1 is the lowest possible quality score. 0 would equal null.\n ?.filter((item) => item.qualityscore <= 5 && item.qualityscore > 0)\n .filter((item) => item.clickthroughrate > 0);\n\n const potentialKeywordsSortedByQualityScore = potentialKeywords.sort((a, b) => b.qualityscore - a.qualityscore);\n const potentialKeywordsSortedByQualityScoreSortedByCTR = potentialKeywordsSortedByQualityScore.sort(\n (a, b) => b.clickthroughrate - a.clickthroughrate\n );\n const qualityscoreSelectionSortedByCTRTop15 = potentialKeywordsSortedByQualityScoreSortedByCTR\n .slice(0, 15)\n .map((item) => ({\n keyword: item.keyword,\n qualityscore: item.qualityscore,\n clickthroughrate: item.clickthroughrate,\n }));\n\n return qualityscoreSelectionSortedByCTRTop15;\n }, [keyworddata]);\n\n return isLoading ? (\n \n \n \n \n \n \n \n \n \n \n \n \n );\n}\n\nexport default KeywordDataTableView;\n","import { getCookie } from 'Utils/Helpers';\nimport http from 'Utils/Http';\nimport { InsightsRequest } from '../../Types/insightstypes';\n\nconst fetchCampaignTypeData = async (params: InsightsRequest) => {\n const { data } = await http.post('/api/insights/campaigntypedata', { ...params });\n\n return data;\n};\n\nexport default fetchCampaignTypeData;\n","// install (please make sure versions match peerDependencies)\n// yarn add @nivo/core @nivo/bar\nimport { BarTooltipProps, ResponsiveBar } from '@nivo/bar';\nimport { LIGHTBLUE, PINK, YELLOW, BLUE, LIGHTBEIGE, TEAL } from 'Utils/colors';\nimport { humanReadable, HumanReadableInsightsKPIsType } from 'Utils/humanReadableTitles';\nimport React from 'react';\nimport * as d3 from 'd3';\nimport EastIcon from '@mui/icons-material/East';\nimport Stack from '@mui/material/Stack';\nimport { CampaignTypeData, PortalUser, CampaignType } from 'Types/insightstypes';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport { BasicTooltip } from '@nivo/tooltip';\n\ntype Props = {\n chartData: chartData;\n};\n\ntype chartData = [\n {\n id: keyof CampaignTypeData;\n label: keyof CampaignTypeData;\n } & { [key in CampaignType]?: number }\n];\n\nconst CustomTooltip = (props: Omit, 'hidden' | 'index' | 'indexValue' | 'data'>) => (\n \n {props.id} : {props.formattedValue}\n \n }\n enableChip={true}\n color={props.color}\n />\n);\n\nconst NivoBarChart = ({ chartData }: Props) => {\n const { portalUser } = useInsightsQuery();\n const domaindata: number[] = Object.values(chartData[0]).filter(\n (value): value is number => typeof value === 'number'\n );\n const domain = [0, d3.max(domaindata)];\n const scale = d3.scaleLinear().domain(domain).range([0, 100]);\n const ticks = scale.ticks(3);\n\n const itemHasValues = domaindata.map((item) => item >= 0).includes(true);\n const keys = Object.keys(chartData[0]).filter((key) => key !== 'id' && key !== 'label' && key !== 'key');\n\n const colors = [PINK, BLUE, YELLOW, TEAL];\n\n return itemHasValues ? (\n ](\n portalUser\n )\n : ' >-.2r'\n }\n indexScale={{ type: 'band', round: true }}\n colors={colors}\n axisTop={null}\n axisRight={null}\n axisLeft={{\n tickSize: 5,\n tickPadding: 5,\n tickRotation: 0,\n tickValues: ticks,\n legendPosition: 'middle',\n legendOffset: 32,\n format: function (e) {\n return d3.format(\n humanReadable.insightsKPIValueFormat[chartData[0]?.label as keyof Omit](\n portalUser\n )\n )(e);\n },\n }}\n axisBottom={null}\n enableGridX={false}\n enableGridY={true}\n labelSkipWidth={12}\n labelSkipHeight={12}\n labelTextColor={{\n from: 'color',\n modifiers: [['darker', 2.2]],\n }}\n legends={[\n {\n dataFrom: 'keys',\n data: keys.map((key, index) => ({\n id: key,\n label: key === 'PERFORMANCE_MAX' ? 'PMAX' : key,\n color: colors[index] as string,\n })),\n anchor: 'right',\n direction: 'column',\n justify: false,\n translateX: 120,\n translateY: 0,\n itemsSpacing: 2,\n itemWidth: 100,\n itemHeight: 20,\n itemDirection: 'left-to-right',\n itemOpacity: 0.85,\n symbolSize: 20,\n effects: [\n {\n on: 'hover',\n style: {\n itemOpacity: 1,\n },\n },\n ],\n },\n ]}\n role=\"application\"\n isFocusable={true}\n ariaLabel=\"Nivo bar chart demo\"\n barAriaLabel={function (e) {\n return e.id + ': ' + e.formattedValue + ' in country: ' + e.indexValue;\n }}\n tooltip={(node) => (\n \n \n Not enough data to draw chart
\n \n \n );\n};\n\nexport default NivoBarChart;","import NivoBarChart from './NivoBarChart';\n\nexport default NivoBarChart;\n","import Grid from '@mui/material/Grid';\nimport Stack from '@mui/material/Stack';\nimport helptexts, { HelpTextType } from 'Assets/JSON/helptexts';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport fetchCampaignTypeData from 'Services/InsightsServices/fetchCampaignTypeData';\nimport { CampaignType, CampaignTypeData } from 'Types/insightstypes';\nimport { BEIGE } from 'Utils/colors';\nimport { HumanReadableInsightsKPIsType, humanReadable } from 'Utils/humanReadableTitles';\nimport React, { useEffect, useMemo } from 'react';\nimport { useQuery } from '@tanstack/react-query';\nimport ErrorBoundary from './Components/ErrorBoundary/index';\nimport HelpModal from './Components/HelpModal';\n\nimport Alert from '@mui/material/Alert';\nimport AlertTitle from '@mui/material/AlertTitle';\nimport useChartDimensions from 'Hooks/useChartDimensions';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport LoadingScreen from './Components/LoadingScreen';\nimport NivoBarChart from './Components/NivoBarChart';\n\ntype Props = { helptext?: string };\n\ninterface chartData extends CampaignTypeData {\n key: string;\n}\n\ntype BarChartData = {\n [key in CampaignType]?: number;\n};\n\nconst chartSettings = {\n marginTop: 30,\n marginRight: 15,\n marginBottom: 40,\n marginLeft: 40,\n};\n\nconst metricSortOrder = [\n 'roas',\n 'returnonexpenditurevalue',\n 'cpa',\n 'cost',\n 'searchvolume',\n 'conversionvalue',\n 'convrate',\n 'conversionrate',\n 'clicks',\n 'cpc',\n 'costperconversion',\n 'costperclick',\n 'impressions',\n 'conversions',\n 'searchimpressionshare',\n 'impressionshare',\n 'ctr',\n 'clickthroughrate',\n 'frequency',\n 'landingpageviews',\n 'newusers',\n 'returningusers',\n 'uniqueusers',\n];\n\nconst CampaignTypeDataBarChartView = ({ helptext = '' }: Props) => {\n const { portalUser, setPlatformsEnabled, setCompareEnabled } = useInsightsQuery();\n const { queryparams, isReadyToRun, shallCompare, alternateStartDate, alternateEndDate } = useInsightsQuery();\n const [ref, dms] = useChartDimensions(chartSettings);\n const { data, isLoading, isFetching } = useQuery({\n queryKey: ['campaigntypedata', { ...queryparams }],\n queryFn: () => fetchCampaignTypeData(queryparams),\n enabled: isReadyToRun,\n });\n\n const {\n data: comparisonData,\n isLoading: isLoadingComparisonData,\n isFetching: isFetchingComparisonData,\n } = useQuery({\n queryKey: ['campaigntypedata', { ...queryparams, startdate: alternateStartDate, enddate: alternateEndDate }],\n queryFn: () =>\n fetchCampaignTypeData({\n ...queryparams,\n startdate: dayjs(alternateStartDate).format('YYYY-MM-DD'),\n enddate: dayjs(alternateEndDate).format('YYYY-MM-DD'),\n }),\n enabled: isReadyToRun && shallCompare,\n });\n\n const chartData: CampaignTypeData[] = data?.data?.data || [];\n\n const superData = useMemo(() => {\n if (chartData.length === 0) return [];\n const allkeys = chartData.map((item: CampaignTypeData) => Object.keys(item) as (keyof CampaignTypeData)[]);\n const uniquekeys = [...new Set(allkeys.flat())];\n let sortedUniqueKeys = uniquekeys.sort((a, b) => {\n return metricSortOrder.indexOf(a) - metricSortOrder.indexOf(b);\n });\n\n if (sortedUniqueKeys.includes('campaigntype')) {\n sortedUniqueKeys.splice(sortedUniqueKeys.indexOf('campaigntype'), 1);\n }\n\n const tdata = sortedUniqueKeys.map((key) => {\n return {\n id: key as keyof Omit,\n label: key as keyof Omit,\n ...chartData.reduce((acc: BarChartData, item: CampaignTypeData) => {\n acc[item.campaigntype as CampaignType] = item[key] as number;\n return acc;\n }, {} as BarChartData),\n };\n });\n\n return tdata;\n }, [chartData.length, isLoading]);\n\n /**\n * Compare should be disabled only until it is fully built.\n * There's no other reason for it to be disabled.\n */\n useEffect(() => {\n setCompareEnabled(false);\n return () => {\n setCompareEnabled(true);\n };\n }, []);\n\n const tooLittleData = chartData?.length === 0;\n\n /**\n *\n * Do not display search volume/interest here. Search volume/interest is calculated as a trend and not fitting for a bar chart.\n */\n return isLoading ? (\n \n {tooLittleData ? (\n \n Info \n There's not enough data. Please select a different date range.\n \n ) : (\n \n {superData.map((data) => {\n const helpTextKey =\n data?.label?.toUpperCase() === 'RETURNONEXPENDITUREVALUE'\n ? portalUser.return_on_expenditure_type.toUpperCase()\n : (data?.label?.toUpperCase() as keyof HelpTextType);\n return (\n data?.label !== 'searchvolume' && (\n \n \n
\n \n {humanReadable.insightsKPIs[data?.label as keyof HumanReadableInsightsKPIsType](\n portalUser\n ).toUpperCase()}\n \n \n
\n \n
\n \n
\n )\n );\n })}\n \n )}\n \n );\n};\n\nexport default CampaignTypeDataBarChartView;\n","import ArrowCircleRightSharpIcon from '@mui/icons-material/ArrowCircleRightSharp';\nimport ArrowDropDownCircleIcon from '@mui/icons-material/ArrowDropDownCircle';\nimport { useMediaQuery } from '@mui/material';\nimport Grid from '@mui/material/Grid';\nimport Stack from '@mui/material/Stack';\nimport TextField from '@mui/material/TextField';\nimport { AdapterDayjs } from '@mui/x-date-pickers/AdapterDayjs';\nimport { DesktopDatePicker } from '@mui/x-date-pickers/DesktopDatePicker';\nimport { LocalizationProvider } from '@mui/x-date-pickers/LocalizationProvider';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport { BEIGE, ORANGE, BLUE } from 'Utils/colors';\nimport React from 'react';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\n\ntype Props = {};\n\nfunction DateSelector({}: Props) {\n const matches = useMediaQuery('(min-width:600px)');\n const { dateRange, setStartDate, setEndDate, startDate, endDate } = useInsightsQuery();\n return (\n \n \n \n setStartDate(value)}\n renderInput={(params) => setEndDate(value)}\n renderInput={(params) => \n \n \n );\n}\n\nexport default DateSelector;\n","import DateSelector from './DateSelector';\n\nexport default DateSelector;\n","import DateRangeDialog from './DateRangeDialog';\n\nexport default DateRangeDialog;\n","import React from 'react';\nimport Dialog from '@mui/material/Dialog';\nimport DialogContent from '@mui/material/DialogContent';\nimport DialogTitle from '@mui/material/DialogTitle';\nimport useMediaQuery from '@mui/material/useMediaQuery';\nimport { useTheme } from '@mui/material/styles';\nimport DateSelector from '../DateSelector';\n\ntype Props = {\n open: boolean;\n onClose: () => void;\n};\n\nexport default function DateRangeDialog({ open, onClose }: Props) {\n const theme = useTheme();\n const fullscreen = useMediaQuery(theme.breakpoints.down('md'));\n\n return (\n \n Select a Custom Date Range \n \n \n \n );\n}\n","import ArrowDropDownIcon from '@mui/icons-material/ArrowDropDown';\nimport CalendarMonthIcon from '@mui/icons-material/CalendarMonth';\nimport InfoIcon from '@mui/icons-material/Info';\nimport { Typography } from '@mui/material';\nimport Button from '@mui/material/Button';\nimport ButtonGroup from '@mui/material/ButtonGroup';\nimport ClickAwayListener from '@mui/material/ClickAwayListener';\nimport Grid from '@mui/material/Grid';\nimport Grow from '@mui/material/Grow';\nimport MenuItem from '@mui/material/MenuItem';\nimport MenuList from '@mui/material/MenuList';\nimport Paper from '@mui/material/Paper';\nimport Popper from '@mui/material/Popper';\nimport Stack from '@mui/material/Stack';\nimport Switch from '@mui/material/Switch';\nimport ToggleButton from '@mui/material/ToggleButton';\nimport ToggleButtonGroup from '@mui/material/ToggleButtonGroup';\nimport Tooltip from '@mui/material/Tooltip';\nimport useMediaQuery from '@mui/material/useMediaQuery';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport { dayjs } from 'Utils/DayJs/dayjsWrapper';\nimport { LIGHTBLUE, ORANGE } from 'Utils/colors';\nimport React, { useEffect, useRef, useState, useTransition } from 'react';\nimport DateRangeDialog from '../DateRangeDialog';\n\nconst rangeOptions = {\n 'Last 14 Days': {\n responsive: true,\n start: dayjs().subtract(14, 'day').toDate(),\n end: dayjs().subtract(1, 'day').toDate(),\n comparisonOptions: (startdate: string, enddate: string) => ({\n '- 14 days': {\n start: dayjs(startdate).subtract(14, 'day').toDate(),\n end: dayjs(enddate).subtract(14, 'day').toDate(),\n },\n '- 1 year': {\n start: dayjs(startdate).subtract(1, 'year').toDate(),\n end: dayjs(enddate).subtract(1, 'year').toDate(),\n },\n }),\n },\n 'This Month': {\n responsive: true,\n start: dayjs().startOf('month').toDate(),\n end: dayjs().subtract(1, 'day').toDate(),\n comparisonOptions: (startdate: string, enddate: string) => ({\n '- 1 month': {\n start: dayjs(startdate).subtract(1, 'month').startOf('month').toDate(),\n end: dayjs(enddate).subtract(1, 'month').toDate(),\n },\n '- 1 year': {\n start: dayjs(startdate).subtract(1, 'year').startOf('month').toDate(),\n end: dayjs(enddate).subtract(1, 'year').toDate(),\n },\n }),\n },\n 'Last 30 Days': {\n responsive: true,\n start: dayjs().subtract(30, 'day').toDate(),\n end: dayjs().subtract(1, 'day').toDate(),\n comparisonOptions: (startdate: string, enddate: string) => ({\n '- 30 days': {\n start: dayjs(startdate).subtract(30, 'day').toDate(),\n end: dayjs(enddate).subtract(30, 'day').toDate(),\n },\n '- 1 year': {\n start: dayjs(startdate).subtract(1, 'year').toDate(),\n end: dayjs(enddate).subtract(1, 'year').toDate(),\n },\n }),\n },\n\n 'Last 90 Days': {\n responsive: false,\n start: dayjs().subtract(90, 'day').toDate(),\n end: dayjs().subtract(1, 'day').toDate(),\n comparisonOptions: (startdate: string, enddate: string) => ({\n '- 90 days': {\n start: dayjs(startdate).subtract(90, 'day').toDate(),\n end: dayjs(enddate).subtract(90, 'day').toDate(),\n },\n '- 1 year': {\n start: dayjs(startdate).subtract(1, 'year').toDate(),\n end: dayjs(enddate).subtract(1, 'year').toDate(),\n },\n }),\n },\n 'This Year': {\n responsive: false,\n start: dayjs().startOf('year').toDate(),\n end: dayjs().subtract(1, 'day').toDate(),\n comparisonOptions: (startdate: string, enddate: string) => ({\n '- 1 year': {\n start: dayjs(startdate).subtract(1, 'year').startOf('year').toDate(),\n end: dayjs(enddate).subtract(1, 'year').endOf('year').toDate(),\n },\n }),\n },\n 'Last Year': {\n responsive: false,\n start: dayjs().subtract(1, 'year').startOf('year').toDate(),\n end: dayjs().subtract(1, 'year').endOf('year').toDate(),\n comparisonOptions: (startdate: string, enddate: string) => ({\n '- 1 year': {\n start: dayjs(startdate).subtract(1, 'year').startOf('year').toDate(),\n end: dayjs(enddate).subtract(1, 'year').endOf('year').toDate(),\n },\n }),\n },\n};\n\nconst customDateOptions = (startdate: string, enddate: string) => ({\n comparisonOptions: {\n '- 1 month': {\n start: dayjs(startdate).subtract(1, 'month').toDate(),\n end: dayjs(enddate).subtract(1, 'month').toDate(),\n },\n '- 1 year': {\n start: dayjs(startdate).subtract(1, 'year').toDate(),\n end: dayjs(enddate).subtract(1, 'year').toDate(),\n },\n },\n});\n\ntype ComparisonOption = (typeof rangeOptions)[keyof typeof rangeOptions]['comparisonOptions'];\n\nfunction DateRangeSelector() {\n const { compareEnabled } = useInsightsQuery();\n const [isPending, startTransition] = useTransition();\n const [buttonText, setButtonText] = useState('Select to Compare');\n const [selectedDateRange, setSelectedDateRange] = useState('This Month');\n const [comparisonRange, setComparisonRange] = useState(null);\n const [open, setOpen] = useState(false);\n const [openCustomDateRange, setOpenCustomDateRange] = useState(false);\n\n const [isDropdownOptionSelected, setIsDropdownOptionSelected] = useState(false);\n\n const matches = useMediaQuery('(min-width:600px)');\n\n const [selectedIndex, setSelectedIndex] = useState(0);\n const anchorRef = useRef(null);\n const {\n dateRange,\n setDateRange,\n shallCompare,\n setShallCompare,\n setAlternateDateRange,\n startDate,\n endDate,\n alternateStartDate,\n alternateEndDate,\n } = useInsightsQuery();\n\nfunction handleDateRangeSelect(event: React.MouseEvent, newDateRange: string) {\n if (newDateRange === 'Custom Date Range' && !openCustomDateRange) {\n setOpenCustomDateRange(true);\n setComparisonRange(null);\n setShallCompare(false);\n setSelectedDateRange(newDateRange);\n } else if (rangeOptions[newDateRange as keyof typeof rangeOptions]) { // Checking if newDateRange is a valid key in rangeOptions.\n const {start, end} = rangeOptions[newDateRange as keyof typeof rangeOptions];\n setComparisonRange(null);\n setShallCompare(false);\n setButtonText('Select to Compare');\n setSelectedIndex(0);\n setSelectedDateRange(newDateRange);\n setDateRange([start, end]);\n }\n }\n\n useEffect(() => {\n if (!shallCompare) setButtonText('Select to Compare');\n if (!shallCompare) setComparisonRange(null);\n }, [shallCompare]);\n\n function handleToggle() {\n setOpen((prevOpen) => !prevOpen);\n }\n\n const handleClose = (event: Event) => {\n if (anchorRef.current && anchorRef.current.contains(event.target as HTMLElement)) {\n return;\n }\n setOpen(false);\n };\n\n function handleShallCompareSwitch(event: React.MouseEvent) {\n startTransition(() => {\n if (selectedDateRange === 'Custom Date Range' && !openCustomDateRange) {\n setShallCompare(!shallCompare);\n setButtonText(Object.keys(customDateOptions(startDate, endDate).comparisonOptions)[0]);\n setComparisonRange(Object.keys(customDateOptions(startDate, endDate).comparisonOptions)[0]);\n }\n if (selectedDateRange !== 'Custom Date Range' && !openCustomDateRange) {\n setShallCompare(!shallCompare);\n setButtonText(\n Object.keys(\n rangeOptions[selectedDateRange as keyof typeof rangeOptions].comparisonOptions(startDate, endDate)\n )[0]\n );\n const option = Object.keys(\n rangeOptions[selectedDateRange as keyof typeof rangeOptions].comparisonOptions(startDate, endDate)\n )[0];\n setComparisonRange(option);\n const { start, end } =\n selectedDateRange === 'Custom Date Range'\n ? customDateOptions(startDate, endDate).comparisonOptions[option as keyof ComparisonOption]\n : rangeOptions[selectedDateRange as keyof typeof rangeOptions].comparisonOptions(startDate, endDate)[\n option as keyof ComparisonOption\n ];\n setAlternateDateRange([start, end]);\n }\n\n });\n }\n\n function handleMenuItemClick(event: React.MouseEvent, index: number, option: string) {\n\n setSelectedIndex(index);\n setOpen(false);\n setButtonText(option);\n setShallCompare(true);\n setComparisonRange(option);\n const { start, end } =\n selectedDateRange === 'Custom Date Range'\n ? customDateOptions(startDate, endDate).comparisonOptions[option as keyof ComparisonOption]\n : rangeOptions[selectedDateRange as keyof typeof rangeOptions].comparisonOptions(startDate, endDate)[\n option as keyof ComparisonOption\n ];\n setAlternateDateRange([start, end]);\n }\n\n function handleCloseCustomDateRange() {\n setOpenCustomDateRange(false);\n }\n\n const hasLongDateRange = dayjs(dateRange[1]).diff(dayjs(dateRange[0]), 'day') > 200;\n const isEndDateWithinRange = dayjs(endDate).isAfter(dayjs().subtract(7, 'days'));\n\n function toggleComparisonMode() {\n if (isDropdownOptionSelected) {\n setShallCompare(!shallCompare);\n }\n }\n\n return (\n \n \n \n handleDateRangeSelect(e, val)}\n exclusive\n aria-label=\"Date range\"\n >\n {Object.entries(rangeOptions).map(\n ([key]) =>\n (rangeOptions[key as keyof typeof rangeOptions].responsive || matches) && (\n \n {key}\n \n )\n )}\n \n \n \n \n \n \n \n \n \n \n {buttonText} \n \n\n\n \n \n \n \n {({ TransitionProps, placement }) => {\n const menuoptions =\n selectedDateRange === 'Custom Date Range'\n ? Object.keys(customDateOptions(startDate, endDate).comparisonOptions)\n : Object.keys(\n rangeOptions[selectedDateRange as keyof typeof rangeOptions]?.comparisonOptions(\n startDate,\n endDate\n ) || {}\n );\n return (\n \n \n \n \n \n \n \n );\n }}\n \n \n \n \n \n \n \n Period \n {hasLongDateRange && (\n \n A long date range can possibly be slow to render. Please have patience.\n \n }\n arrow\n >\n \n \n {`${dayjs(startDate).format('YYYY-MM-DD')} - ${dayjs(endDate).format('YYYY-MM-DD')}`}{' '}\n {isEndDateWithinRange && (\n \n Please keep in mind that when you select to view very recent data, there might be a slight delay\n in the availability of the most up-to-date information. This delay can impact the reported\n metrics, potentially resulting in lower figures than the actual performance.\n \n }\n arrow\n >\n
\n \n {shallCompare && (\n \n Comparison Period \n {`${dayjs(alternateStartDate).format('YYYY-MM-DD')} - ${dayjs(alternateEndDate).format(\n 'YYYY-MM-DD'\n )}`}
\n \n )}\n \n \n \n );\n}\n\nexport default DateRangeSelector;","import DateRangeSelector from \"./DateRangeSelector\";\n\nexport default DateRangeSelector;","import PortalUser from './PortalUser';\n\nexport default PortalUser;\n","/* eslint-disable */\nimport React, { useEffect } from 'react';\nimport { useAuth } from 'Context/AuthContext';\nimport { useInsightsQuery } from 'Context/InsightsQueryContext';\nimport { PortalUser } from 'Types/insightstypes';\n\nconst PortalUser = (): null => {\n const { setPortalUser } = useInsightsQuery();\n const { user } = useAuth();\n\n useEffect(() => {\n if (user) {\n if (user.category === 'CLIENT') {\n const { id, name, organization_type, return_on_expenditure_type, currency } = user?.organization;\n setPortalUser({ id, name, organization_type, return_on_expenditure_type, currency } as PortalUser);\n }\n }\n }, [user?.uuid]);\n\n return null;\n};\n\nexport default PortalUser;\n","import React from 'react';\nimport { useAuth } from 'Context/AuthContext';\n\ntype Props = { children: React.ReactNode };\n\nconst PrivateFunction = ({ children }: Props) => {\n const { user } = useAuth();\n const allowedorganizations = user?.allowed_organizations;\n if (user?.category === 'STAFF' || user?.category === 'PARTNER' || allowedorganizations?.length > 1) {\n return <>{children};\n }\n\n return null;\n};\n\nexport default PrivateFunction;\n","import Container from '@mui/material/Container';\nimport React, { useState, useTransition } from 'react';\nimport Footer from './Components/Footer';\n\nimport { BLACK, LIGHTBEIGE } from 'Utils/colors';\nimport AggregatedDataByDateView from './AggregatedDataByDateView';\nimport BingDataView from './BingDataView';\nimport PortalUserSelector from './Components/PortalUserSelector';\nimport GoogleCampaignDataViews from './GoogleCampaignDataViews';\nimport MetaDataView from './MetaDataView';\nimport BudgetDataViews from './BudgetDataViews';\n\nimport Grid from '@mui/material/Grid';\nimport Stack from '@mui/material/Stack';\nimport InsightsQueryProvider from 'Context/InsightsQueryContext';\nimport CountryFilterSelector from './Components/CountryFilterSelector/index';\nimport IncludeBrandSwitch from './Components/IncludeBrandSwitch';\nimport PlatformSelector from './Components/PlatformSelector';\nimport KeywordDataBeeSwarmChartView from './KeywordDataBeeSwarmChartView';\nimport KeywordDataTableView from './KeywordDataTableView';\n\nimport Box from '@mui/material/Box';\nimport Button from '@mui/material/Button';\nimport Divider from '@mui/material/Divider';\nimport Tab from '@mui/material/Tab';\nimport Tabs from '@mui/material/Tabs';\nimport { useAuth } from 'Context/AuthContext';\nimport CampaignTypeDataBarChartView from './CampaignTypeDataBarChartView';\nimport DateRangeSelector from './Components/DateRangeSelector';\nimport ErrorBoundary from './Components/ErrorBoundary';\nimport PortalUser from './Components/PortalUser';\nimport PrivateFunction from './Components/PrivateFunction/PrivateFunction';\nimport SplashScreen from './Components/SplashScreen/SplashScreen';\nimport AmandaAiLogo from './Components/TextLogo';\n\ntype Props = {};\n\ninterface TabPanelProps {\n children?: React.ReactNode;\n index: number;\n value: number;\n}\n\nfunction TabPanel(props: TabPanelProps) {\n const { children, value, index, ...other } = props;\n\n return (\n \n {value === index && <>{children}}\n \n );\n}\n\nfunction InsightsPortal({}: Props) {\n const { signOut }: any = useAuth();\n const [isPending, startTransition] = useTransition();\n const [tabs, setTabs] = useState(0);\n\n function handelTabChange(e: any, val: any) {\n setTabs(val);\n }\n\n return (\n \n {/* \n \n Sign Out\n \n {/* \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n startTransition(() => {\n handelTabChange(event, val);\n })\n }\n >\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n );\n}\n\nexport default InsightsPortal;\n","export const enumerateDaysBetweenDates = (startdate: any, enddate: any) => {\n let d = startdate;\n const datelist = [];\n while (d.isSameOrBefore(enddate)) {\n datelist.push(d.format('YYYY-MM-DD'));\n d = d.add(1, 'days');\n }\n return datelist;\n};\n\nexport function getCookie(name: string) {\n let cookieValue = null;\n if (document.cookie && document.cookie !== '') {\n const cookies = document.cookie.split(';');\n for (let i = 0; i < cookies.length; i++) {\n const cookie = cookies[i].trim();\n // Does this cookie string begin with the name we want?\n if (cookie.substring(0, name.length + 1) === name + '=') {\n cookieValue = decodeURIComponent(cookie.substring(name.length + 1));\n break;\n }\n }\n }\n return cookieValue;\n}\n\nexport const isNegativeZero = (x: number) => x === 0 && 1 / x === -Infinity;\n\nexport const isObject = (sample: unknown) =>\n typeof sample === 'object' &&\n !Array.isArray(sample) &&\n sample !== null &&\n sample !== undefined &&\n typeof sample !== 'function';\n\nexport const isEmptyObject = (obj: unknown) => obj && Object.keys(obj).length === 0 && obj.constructor === Object;\n\n\nexport function capitalizeSentence(sentence: string): string {\n if (!sentence) {\n throw new Error(\"Input string is empty.\");\n }\n\n const words = sentence.split(\" \");\n\n if (words.length === 0) {\n throw new Error(\"Input string contains no words.\");\n }\n\n const capitalizedWords = words.map((word) => {\n if (!word) {\n throw new Error(\"Input string contains an empty word.\");\n }\n\n return word.charAt(0).toUpperCase() + word.slice(1);\n });\n\n return capitalizedWords.join(\" \");\n}","import { getCookie } from 'Utils/Helpers';\nimport axios from 'axios';\n\nconst http = axios.create({\n // default config for your axios instance\n headers: {\n 'Content-Type': 'application/json',\n 'X-CSRFToken': getCookie('csrftoken'),\n },\n timeout: 30000, // 30 seconds\n});\n\nhttp.interceptors.request.use((config) => {\n /**\n * We´re setting the CSRF token here, because:\n * Setting in the default config is not enough, because it will not be\n * reset after a logout/login cycle. That means, that the old token will\n * be used, even if the user is logged out.\n *\n * Setting it here, will ensure, that the token is always up to date.\n */\n config.headers['X-CSRFToken'] = getCookie('csrftoken');\n return config;\n});\n\nhttp.interceptors.response.use(\n (response) => response,\n (error) => {\n if (error.response && (error.response.status === 401 || error.response.status === 403)) {\n // custom logic to handle 401 response\n // redirect to login page\n window.location.href = '/login';\n }\n\n return Promise.reject(error);\n }\n);\n\nexport default http;\n","import http from './axioswrapper';\n\nexport default http;\n","export const RED = `rgba(173, 30, 30, 1)`;\nexport const ORANGE = `rgba(252, 86, 7, 1)`;\nexport const YELLOW = `rgba(255, 225, 40, 1)`;\nexport const PINK = `rgba(254, 140, 181, 1)`;\nexport const BLACK = `rgba(0, 0, 0, 1)`;\nexport const TEAL = `rgba(31, 150, 154, 1)`;\nexport const BLUE = `rgba(0, 111, 255, 1)`;\nexport const LIGHTBLUE = `rgba(70,190,255, 1)`;\nexport const BEIGE = `rgba(220,216,205, 1)`;\n\nexport const LIGHTPINK = 'rgba(254, 175, 204, 1)';\nexport const LIGHTTEAL = 'rgba(0, 255, 255, 1)';\nexport const LIGHTORANGE = 'rgba(255, 153, 51, 1)';\n\nexport const LIGHTBEIGE = 'rgba(236, 235, 229, 1)';\n\nexport const COLORS = [LIGHTPINK, LIGHTTEAL, LIGHTORANGE, ORANGE, YELLOW, PINK, BLACK, TEAL, BLUE, LIGHTBLUE];\n","import Button from '@mui/material/Button';\nimport Drawer from '@mui/material/Drawer';\nimport Stack from '@mui/material/Stack';\nimport React from 'react';\nimport Box from '@mui/material/Box';\nimport FormControlLabel from '@mui/material/FormControlLabel';\nimport Switch from '@mui/material/Switch';\n\ntype Props = { consentBannerOpen: boolean; accept: boolean; toggleConsent: (accept: boolean) => void };\n\nconst CookieConsentBanner = ({ consentBannerOpen, accept, toggleConsent }: Props) => {\n return (\n \n \n Notice \n \n We and selected third parties use cookies or similar technologies for technical purposes and, with your\n consent, for measurement as specified in the cookie policy. Denying consent may make related features\n unavailable.\n
\n \n You can freely give, deny, or withdraw your consent at any time. Use the “🍪 Accept” button to consent. Use\n the “Reject all” button to continue without accepting.\n
\n \n \n \n \n toggleConsent(true)}>\n 🍪 Accept all\n \n toggleConsent(false)}>\n Reject all\n \n \n \n \n \n );\n};\n\nexport default CookieConsentBanner;\n","import CookieConsentBanner from './CookieConsentBanner';\n\nexport default CookieConsentBanner;\n","import Snackbar from '@mui/material/Snackbar';\nimport Alert, { AlertColor } from '@mui/material/Alert';\nimport Slide, { SlideProps } from '@mui/material/Slide';\nimport React, { createContext, useContext, useState, useCallback } from 'react';\n\ntype MuiNotificationConfig = {\n open?: boolean;\n message: string;\n severity?: 'success' | 'info' | 'warning' | 'error';\n};\n\ntype MuiNotificationContextType = {\n notify: React.Dispatch>;\n};\n\ntype TransitionProps = Omit;\n\nconst MuiNotificationContext = createContext(null);\n\nexport function useMuiNotification() {\n return useContext(MuiNotificationContext);\n}\n\nexport function MuiNotificationProvider({ children }: { children: React.ReactNode }) {\n const [notification, setNotification] = useState({\n open: false,\n message: '',\n severity: 'info',\n });\n\n const value = {\n notify: useCallback(\n (settings: MuiNotificationConfig) => setNotification((prev) => ({ ...prev, ...settings, open: true })),\n []\n ),\n };\n\n const handleClose = () => {\n setNotification((prev) => ({ ...prev, open: false }));\n };\n\n function TransitionUp(props: TransitionProps) {\n return \n {children}\n \n \n {notification.message}\n \n \n \n );\n}\n","import { Progress, Space } from 'antd';\nimport PropTypes from 'prop-types';\nimport React, { useEffect, useState } from 'react';\n\nfunction IdlePrompt(props) {\n const { remainingTime, promptBeforeIdle } = props;\n const [seconds, setSeconds] = useState(promptBeforeIdle);\n\n useEffect(() => {\n const remainingTimeInterval = setInterval(() => {\n if (seconds > 0) {\n setSeconds(remainingTime());\n }\n if (seconds === 0) {\n clearInterval(remainingTimeInterval);\n }\n }, 100);\n return () => {\n clearInterval(remainingTimeInterval);\n };\n }, [remainingTime, seconds]);\n\n return (\n \n Click below to stay signed in.
\n \n );\n}\n\nIdlePrompt.propTypes = {\n remainingTime: PropTypes.number.isRequired,\n promptBeforeIdle: PropTypes.number.isRequired,\n};\n\nexport default IdlePrompt;\n","import { Modal } from 'antd';\nimport React from 'react';\nimport { useIdleTimer } from 'react-idle-timer';\nimport { useAuth } from '../../Context/AuthContext';\nimport IdlePrompt from './IdlePrompt';\n\nconst idletimeout = 6 * 60 * 60 * 1000; // 6 hours\nconst prompttimeout = 60 * 1000; // 60 seconds\n\nfunction IdleHandler() {\n const { signOut } = useAuth();\n const onIdle = () => {\n // Sign out, then relocate\n Modal.destroyAll();\n signOut();\n };\n\n const { reset, getRemainingTime } = useIdleTimer({\n onIdle,\n onPrompt,\n timeout: idletimeout,\n promptBeforeIdle: prompttimeout,\n });\n\n function onPrompt() {\n return Modal.info({\n maskClosable: true,\n title: 'You have been idle for some time...',\n content: (\n \n \n
\n \n \n );\n }\n\n if (user?.category === 'STAFF' || user?.category === 'PARTNER') {\n return (\n \n \n \n \n \n );\n }\n\n return null;\n}\n\nexport default Dispatcher;\n","import axios from 'axios';\nimport { getCookie } from 'Utils/Helpers';\n\nconst headers = { headers: { 'X-CSRFToken': getCookie('csrftoken') } };\n\nconst admitUser = async (key) => {\n if (key === undefined) throw ReferenceError('Admittance key error');\n if (key === null) throw ReferenceError('Admittance key error');\n if (key === '') throw ReferenceError('Admittance key error');\n const { data } = await axios.get(`/api/admit/${key}`);\n return data;\n};\n\nconst passwordReset = async (args) => {\n const { data } = await axios.post(`/api/admit/passwordreset`, args, headers);\n return data;\n};\n\nexport { admitUser, passwordReset };\n","import api from \"!../../../../node_modules/style-loader/dist/runtime/injectStylesIntoStyleTag.js\";\n import content from \"!!../../../../node_modules/css-loader/dist/cjs.js!../../../../node_modules/less-loader/dist/cjs.js??ruleSet[1].rules[2].use[2]!./flip.css\";\n\nvar options = {};\n\noptions.insert = \"head\";\noptions.singleton = false;\n\nvar update = api(content, options);\n\n\n\nexport default content.locals || {};","import React, { useRef } from 'react';\nimport Alert from '@mui/material/Alert';\nimport AlertTitle from '@mui/material/AlertTitle';\nimport Stack from '@mui/material/Stack';\nimport Box from '@mui/material/Box';\nimport Slide from '@mui/material/Slide';\n\nfunction AdmittanceErrorListView({ errors }) {\n const containerRef = React.useRef(null);\n return errors.length > 0 ? (\n \n \n \n \n Error \n \n {errors.map((error) => (\n {error} \n ))}\n \n \n \n \n \n ) : null;\n}\n\nexport default AdmittanceErrorListView;\n","import EastIcon from '@mui/icons-material/East';\nimport PersonAddIcon from '@mui/icons-material/PersonAdd';\nimport Visibility from '@mui/icons-material/Visibility';\nimport VisibilityOff from '@mui/icons-material/VisibilityOff';\nimport LoadingButton from '@mui/lab/LoadingButton';\nimport Box from '@mui/material/Box';\nimport Card from '@mui/material/Card';\nimport CardActions from '@mui/material/CardActions';\nimport CardContent from '@mui/material/CardContent';\nimport CircularProgress from '@mui/material/CircularProgress';\nimport Container from '@mui/material/Container';\nimport FilledInput from '@mui/material/FilledInput';\nimport FormControl from '@mui/material/FormControl';\nimport IconButton from '@mui/material/IconButton';\nimport InputAdornment from '@mui/material/InputAdornment';\nimport InputLabel from '@mui/material/InputLabel';\nimport Link from '@mui/material/Link';\nimport List from '@mui/material/List';\nimport ListItem from '@mui/material/ListItem';\nimport ListItemIcon from '@mui/material/ListItemIcon';\nimport Stack from '@mui/material/Stack';\nimport TextField from '@mui/material/TextField';\nimport Typography from '@mui/material/Typography';\nimport Zoom from '@mui/material/Zoom';\nimport { Formik } from 'formik';\nimport React, { useEffect, useState } from 'react';\nimport { useLocation, useNavigate } from 'react-router-dom';\nimport { admitUser, passwordReset } from '../../../Services/admitService';\nimport './flip.css';\n\nimport ErrorList from './AdmittanceErrorListView';\n\n// http://127.0.0.1:8000/admit/bHdBQUFBPT0kNnUyNHg1ZnFyZTk4emV5Y0paNDZBTllFdERKNnREYTQ%3D\n\nconst colors = ['#46beff', '#fe8cb5', '#000000', '#fc5607', '#1f969a'];\nconst bgcolor = colors[Math.floor(Math.random() * colors.length)];\n\nfunction Admit() {\n const [isLoading, setIsLoading] = useState(false);\n const [success, setSuccess] = useState(false);\n const [tokenKey, setTokenKey] = useState(false);\n const [error, setError] = useState(false);\n const [passwordErrorList, setPasswordErrorList] = useState([]);\n const [username, setUsername] = useState('');\n const [helpTextsList, setHelpTextsList] = useState([]);\n const [showPassword, setShowPassword] = useState(false);\n const [hasFailed, setHasFailed] = useState(false);\n const location = useLocation();\n\n const navigate = useNavigate();\n\n const handleClickShowPassword = () => {\n setShowPassword((prev) => !prev);\n };\n\n useEffect(() => {\n setIsLoading(true);\n if (location === undefined) return;\n const urlkey = location?.pathname.slice(location?.pathname.lastIndexOf('/') + 1);\n admitUser(urlkey)\n .then((data) => {\n if (data.token === undefined) throw ReferenceError('No token');\n if (data.key === undefined) throw ReferenceError('No key');\n const { token } = data;\n const { key } = data;\n const { username } = data;\n const helptexts = data.help;\n setHelpTextsList(helptexts);\n setUsername(username);\n setTokenKey({ key, token });\n setIsLoading(false);\n })\n .catch((e) => {\n setError(true);\n setHasFailed(true);\n setIsLoading(false);\n });\n }, [location.pathname]);\n\n const onFinish = (values, { setSubmitting }) => {\n setSubmitting(true);\n\n passwordReset({ ...values, ...tokenKey })\n .then((res) => {\n setSuccess(true);\n navigate('/', { replace: true });\n })\n .catch((err) => {\n setPasswordErrorList(err.response.data.message);\n setHasFailed(true);\n })\n .then(() => setSubmitting(false));\n };\n\n return (\n \n {isLoading ? (\n \n \n \n \n \n {error ? (\n \n \n \n \n ) : (\n <>\n {\n const errors = {};\n if (!values.password) {\n errors.password = 'Password is required';\n }\n if (values.password !== values.passwordrepeat) {\n errors.passwordrepeat = 'Passwords needs to match';\n }\n return errors;\n }}\n onSubmit={(values, { setSubmitting }) => onFinish(values, { setSubmitting })}\n >\n {({\n values,\n errors,\n touched,\n handleChange,\n handleBlur,\n handleSubmit,\n isSubmitting,\n submitForm,\n setSubmitting,\n }) => (\n \n )}\n \n \n )}\n \n \n {error && (\n \n \n \n \n Oops, that didn't work...\n \n \n We´d love to hook you up with an account but please{' '}\n \n \n \n )}\n \n\n Footer \n \n )}\n \n );\n}\n\nexport default Admit;\n","import api from \"!../../../../node_modules/style-loader/dist/runtime/injectStylesIntoStyleTag.js\";\n import content from \"!!../../../../node_modules/css-loader/dist/cjs.js!../../../../node_modules/less-loader/dist/cjs.js??ruleSet[1].rules[2].use[2]!./login.css\";\n\nvar options = {};\n\noptions.insert = \"head\";\noptions.singleton = false;\n\nvar update = api(content, options);\n\n\n\nexport default content.locals || {};","import Box from '@mui/material/Box';\nimport Container from '@mui/material/Container';\nimport Input from '@mui/material/Input';\nimport TextField from '@mui/material/TextField';\nimport axios from 'axios';\nimport { Formik } from 'formik';\nimport React, { useState } from 'react';\n\nimport LockOpenIcon from '@mui/icons-material/LockOpen';\nimport Visibility from '@mui/icons-material/Visibility';\nimport VisibilityOff from '@mui/icons-material/VisibilityOff';\nimport LoadingButton from '@mui/lab/LoadingButton';\nimport { Alert } from '@mui/material';\nimport Card from '@mui/material/Card';\nimport CardActions from '@mui/material/CardActions';\nimport CardContent from '@mui/material/CardContent';\nimport FormControl from '@mui/material/FormControl';\nimport IconButton from '@mui/material/IconButton';\nimport InputAdornment from '@mui/material/InputAdornment';\nimport InputLabel from '@mui/material/InputLabel';\nimport Stack from '@mui/material/Stack';\nimport useMediaQuery from '@mui/material/useMediaQuery';\nimport { useQuery } from '@tanstack/react-query';\nimport AmandaAiLogo from 'Pages/Insights/Components/TextLogo';\nimport { BLACK } from 'Utils/colors';\nimport { getCookie } from 'Utils/Helpers';\nimport { Navigate } from 'react-router';\nimport { useAuth } from '../../../Context/AuthContext';\nimport './flip.css';\nimport './login.css';\n\nfunction Login() {\n const { user, setUser, setLoadingUser } = useAuth();\n const [showPassword, setShowPassword] = useState(false);\n const [hasFailed, setHasFailed] = useState(false);\n const [errorMessage, setErrorMessage] = useState(null);\n const matches = useMediaQuery('(max-width:600px)');\n const { data: closedformaintenance, isLoading } = useQuery({\n queryKey: ['toggles'],\n queryFn: () => axios.get('/api/maintenance'),\n });\n\n if (user) return \n \n \n \n \n \n We're closed for maintenance. See you soon!\n \n \n \n \n );\n\n return (\n \n \n {!isLoading && closedformaintenance && !closedformaintenance?.data?.toggle ? (\n \n \n {\n const errors = {};\n if (!values.name) {\n errors.className = 'Username is required';\n }\n if (!values.pass) {\n errors.pass = 'Password is required';\n }\n return errors;\n }}\n onSubmit={(values, { setSubmitting }) => {\n const loginformdata = new FormData();\n loginformdata.append('username', values.name);\n loginformdata.append('password', values.pass);\n setLoadingUser(true);\n\n axios({\n method: 'post',\n url: '/accounts/login/',\n data: loginformdata,\n headers: {\n 'X-CSRFToken': values.csrfmiddlewaretoken,\n },\n })\n .then((res) => {\n handleLogin(res);\n })\n .catch((e) => {\n setHasFailed(true);\n if (e.response?.status === 403) {\n setErrorMessage('Invalid username or password');\n }\n if (e.response?.status === 503) {\n setErrorMessage('Service is temporarily unavailable. Please try again later.');\n }\n })\n .then(() => setSubmitting(false))\n .finally(() => setLoadingUser(false));\n }}\n >\n {({\n values,\n errors,\n touched,\n handleChange,\n handleSubmit,\n isSubmitting,\n submitForm,\n /* and other goodies */\n }) => (\n \n )}\n \n \n \n ) : null}\n Footer \n \n \n );\n}\n\nexport default Login;\n","import Dispatcher from 'Components/Dispatcher/Dispatcher';\nimport Loading from 'Components/Loading';\nimport { ClientProvider } from 'Context/ClientContext';\nimport Admit from 'Pages/Login/Login/Admit';\nimport Login from 'Pages/Login/Login/Login';\nimport React, { ReactNode } from 'react';\nimport { Navigate, Route, Routes } from 'react-router-dom';\nimport { useAuth } from 'Context/AuthContext';\n\ninterface ProtectedRouteProps {\n children: ReactNode | ReactNode[]; // Expect a single React element or an array of React elements\n}\n\nconst ProtectedRoute = ({ children }: ProtectedRouteProps) => {\n const { user, loadingUser } = useAuth();\n if (loadingUser) return \n \n \n \n \n }\n />\n 404 Not found} />\n \n );\n}\n\nexport default AppRoutes;\n","import api from \"!../../node_modules/style-loader/dist/runtime/injectStylesIntoStyleTag.js\";\n import content from \"!!../../node_modules/css-loader/dist/cjs.js!../../node_modules/less-loader/dist/cjs.js??ruleSet[1].rules[2].use[2]!./body.css\";\n\nvar options = {};\n\noptions.insert = \"head\";\noptions.singleton = false;\n\nvar update = api(content, options);\n\n\n\nexport default content.locals || {};","import { ThemeProvider, createTheme } from '@mui/material/styles';\n\nimport Fab from '@mui/material/Fab';\n\nimport { BLUE, LIGHTBLUE, ORANGE, PINK, YELLOW } from 'Utils/colors';\nimport 'antd/dist/antd.less';\nimport React, { useEffect, useState } from 'react';\nimport TagManager from 'react-gtm-module';\n\nimport { Zoom } from '@mui/material';\nimport useMediaQuery from '@mui/material/useMediaQuery';\nimport CookieConsentBanner from './Components/CookieConsentBanner';\nimport { useAuth } from './Context/AuthContext';\nimport AppRoutes from './Routes/AppRoutes';\nimport './Styles/body.css';\n\nconst theme = createTheme({\n palette: {\n primary: {\n main: BLUE,\n },\n secondary: {\n main: ORANGE,\n },\n warning: {\n main: YELLOW,\n },\n info: {\n main: LIGHTBLUE,\n },\n pink: {\n main: PINK,\n },\n },\n typography: {\n fontFamily: [\n '\"Suisse Intl\"',\n 'Arial',\n 'sans-serif',\n '\"Apple Color Emoji\"',\n '\"Segoe UI Emoji\"',\n '\"Segoe UI Symbol\"',\n ].join(','),\n },\n components: {\n MuiTextField: {\n styleOverrides: {\n root: {\n WebkitAutofilll: 'red',\n '--TextField-brandBorderColor': '#E0E3E7',\n '--TextField-brandBorderHoverColor': 'rgba(0, 111, 255, 1)',\n '--TextField-brandBorderFocusedColor': 'rgba(0, 111, 255, 1)',\n '& label.Mui-focused': {\n color: 'rgba(0, 111, 255, 1)',\n },\n },\n },\n },\n MuiInput: {\n styleOverrides: {\n root: {\n WebkitAutofill: 'red',\n fontSize: '1.111rem',\n lineHeight: '2rem',\n padding: '12px 4px',\n backgroundColor: 'white',\n '--TextField-brandBorderColor': '#E0E3E7',\n '&:before': {\n borderBottom: '2px solid var(--TextField-brandBorderColor)',\n },\n '&:hover:not(.Mui-disabled, .Mui-error):before': {\n borderBottom: '2px solid rgba(0, 111, 255, 1)',\n },\n '&.Mui-focused:after': {\n borderBottom: '2px solid rgba(0, 111, 255, 1)',\n },\n },\n },\n },\n },\n});\n\nfunction LoginApp() {\n const { user } = useAuth();\n const [accept, setAccept] = useState(false);\n const [consentBannerOpen, setConsentBannerOpen] = useState(false);\n const matches = useMediaQuery('(min-width:600px)');\n\n useEffect(() => {\n if (document.cookie) {\n const cookienames = [];\n const cookies = document.cookie.split(';');\n cookies.forEach((cookie) => {\n const cookieParts = cookie.split('=');\n const cookieName = cookieParts[0].trim();\n cookienames.push(cookieName);\n if (cookieName === 'cookieConsent') {\n const cookieValue = cookieParts[1];\n if (cookieValue === 'true') {\n // Initialize Tag Manager\n const tagManagerArgs = {\n gtmId: 'GTM-KF2QRNQ',\n };\n TagManager.initialize(tagManagerArgs);\n setAccept(true);\n }\n if (cookieValue === 'false') {\n setAccept(false);\n }\n }\n });\n // If no cookieConsent cookie, show banner\n\n if (!cookienames.some((name) => name === 'cookieConsent')) {\n setConsentBannerOpen(true);\n }\n }\n }, []);\n\n // Expire a Cookie\n function expireCookie(cName, cValue) {\n const date = new Date();\n const expires = `expires=${date.toUTCString()}`;\n document.cookie = `${cName}=${cValue}; ${expires}; path=/`;\n }\n\n const toggleConsent = (consentGiven) => {\n if (document.cookie) {\n if (consentGiven) {\n const tagManagerArgs = {\n gtmId: 'GTM-KF2QRNQ',\n };\n TagManager.initialize(tagManagerArgs);\n document.cookie = `cookieConsent=true; max-age=31536000; path=/`;\n }\n if (!consentGiven) {\n const cookies = document.cookie.split(';');\n // Clear all cookies except for necessary ones\n cookies.forEach((cookie) => {\n const cookieParts = cookie.split('=');\n const cookieName = cookieParts[0].trim();\n // csrf token is necessary for django\n if (cookieName !== 'csrftoken') {\n expireCookie(cookieName, '');\n }\n });\n // Set cookieConsent to false\n document.cookie = `cookieConsent=false; max-age=31536000; path=/`;\n }\n setAccept(consentGiven);\n setConsentBannerOpen(false);\n }\n };\n\n return (\n \n \n setConsentBannerOpen(true)}\n >\n {matches ? '🍪 Cookie preferences' : '🍪'}\n \n \n )}\n \n );\n}\nexport default LoginApp;\n","import PropTypes from 'prop-types';\nimport React, { useContext, useMemo, useState } from 'react';\n\nconst LoadingContext = React.createContext();\n\nexport function useIsLoading() {\n return useContext(LoadingContext);\n}\n\nexport function LoadingProvider({ children }) {\n const [isLoadingGlobally, setIsLoadingGlobally] = useState(false);\n\n const loading = useMemo(\n () => ({\n isLoadingGlobally,\n setIsLoadingGlobally,\n }),\n [isLoadingGlobally]\n );\n\n return {children} ;\n}\n\nLoadingProvider.propTypes = {\n children: PropTypes.element.isRequired,\n};\n","import '@fontsource/poppins/300.css';\nimport '@fontsource/poppins/400.css';\nimport '@fontsource/poppins/500.css';\nimport '@fontsource/poppins/700.css';\nimport { QueryClient, QueryClientProvider } from '@tanstack/react-query';\nimport { ReactQueryDevtools } from '@tanstack/react-query-devtools';\nimport React from 'react';\nimport { createRoot } from 'react-dom/client';\nimport { BrowserRouter } from 'react-router-dom';\nimport App from './App';\nimport { AuthProvider } from './Context/AuthContext';\n\nimport { LicenseInfo } from '@mui/x-license-pro';\nimport { LoadingProvider } from './Context/LoadingContext';\n\nLicenseInfo.setLicenseKey(\n 'e3cddf66a655e5a647fa409a29fd9136Tz00NDI3OCxFPTE2ODQ5MzgwMzAxNTYsUz1wcm8sTE09c3Vic2NyaXB0aW9uLEtWPTI='\n);\n\nconst myQueryClient = new QueryClient();\n\nconst container = document.getElementById('app');\nconst root = createRoot(container);\nroot.render(\n\n \n \n \n \n \n \n \n \n \n);\n","export default 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\"","export 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5gaAnpixZOXX3uHGzW3UkNHUMctmM1HkZO3Gge4tEcGVLhR02OvULGnLbqxvVv+E1aqpZtGqrvdOhsy7VU6/q02/AYEM0gtG9e96xxvsmsinaU013DnRIOixmW5SOs08PfdZ5XHGtpWx5uEfQ4g8WrHqm5+xEtZLQqmFRlEqnff1M3cIx5RiIUZCTl43CiUmTq+TB3at2XLlnb+OHYTAhSip8xqwYxTRyLAB5uV651oTN3RMnzVqCdY1cUaSPnau23rgR7KyxG/f0IGt3HtyJOgOIBYEpr0gZFgRc7nwIm6FAjk68UFwiIr7gQwdERaAfz3qv9UG3aPUCNIumL5G3MByp2UeOorXRoiiL9UmhFyELdpWQyN3UwpFgUtIKw9kK5BPAghuH2Mryj5BVFp3XB83QJd0wAuIN/ScFomJkRUmOTFkWKVNuqWXWiDHfWuvtsbdxraym1cU2C7zoDAd9ZD8h4oEYCE78i7Sf/nwiaDNj30rzNLLa16HPPOOEw8v3B2UJ2FfTGmWlBZdZtx+FHaFaZ9tgZqc1rHND2pq7Bt5digvp3Cb1byv1O9hudvHTOKVWX4chIbp4iNLFZFif/KfnTsZXBd/udbgn6zoFZ1L5y8eZ9CnqVwOS0Wb3Q/A7JBPWMl2Qc5Lce5gpww+ocJPTAevEy6k2ULrQrFhcFe2NGtgfLxD8LsetwFo7JLJi+sW6ov2MYyv/11uHDtQz52zgSFzeRDiLxIPYE9wryjd8HyS+IH4ImIyD5FEX0YvwJcQlxHISBaSUtoxKhakg0ZJVU+jIaw6dPh3b3RbSOlA9ZcMn2BiE1xJU2Bqc1x4C6gg10sUg3dD0oHtB/XgDGzoYmXY4imYkWnaDGMMbZ5hAi/LZC02GgbIffA6BzREwOQqUY9DkdaAUwDpvAsUE14xDkwkIcgJ8TsItQbjnbaAUwzbvQ5UPgVIKlDLgXIR7ZoFTDvfMQ51FOGcJktTAJSvgUw+UBgjSCD5NEOcarPs4pD0HtOeD7wVQdReEvfSBqJcVB+pVF+y6H+z4M9BrAQ9xQo6CNZmj5Tv3OmVmZnyOrdb3+la88sUzlDrCFpf4k9H+oBrf1JDSXalUj5oochVKBmzoD8dqG2vLAI6t7ML96L6l/HRhPdxd7aVUq201H59valejA/bU0W+a6xPc2yvAuZZMFM9ORQYOQrCWnTIsjDVtg8cdvwOPkZm8dEnBQ3F5broWS89BEjvxCNYaaLFP8c2AkGYtYdZUK1rUygY5OJfyaejhuV6PB+kPQSpdnjUj4lJmhQc2D9+11IyBoL0GTPKgds3LzNibUL5EyzbvztfpLE7XFlFgVcxe8Utp9InFtH2Lo+i24ipFU/XmpvbSUTqGEzIlMsxkGWLBmiJtWuaDuWf5ZxpmHzOFrPTbzRQ7zoyuXGyGyx2qRYWORm9mhcAFCWRKLXZQNIq1q8erwLL6PopLmrjHQtmCu2IKhk0tnbkhNful9areBP5wLpq2uA0Gm69tj2atnrSsxwcY9tywjtiSLUKcQmexS7tkk5TRfht1e8VxgUwbPbfdSrMCDD6Rk6wqKfH7ya1a+3O6t0bt47/OBezb05qNZ0sQX9ThyRq1GeZgTTotTO2Grx6QyYYVpEO11ubXtNr9NVxDjOLT2LOhhSSqQZntakTqScgCS4oQhunypXUVbXU1svrMbxCOs45a1ZrhWeTNSCrOTzmFqgh7ftPE8Z4mVTg56wkpHkULWY0ikTs7wlNK3W1aSQEydKFCCYZWpgKWMnYrc4tDTuw7CV+eEPJ9GRGbaLQAKduEbM5N0izQvDAlS3zppNKx1dSpoiaVJTRrPLTOAp+smbDRZEYAxhIdi23LibnlLeoM29S5uZMWVSqqTtDldF23JTfnZBZwhzn5ARIxfSgEtchm63FD6R+5KpVrk7Xp1nfX/Ynvpttq1gMTbQXuit+mM9zSul3eailSq5/HoKoQD5DCAjuIoni7gG/Dk9A6MSsnUYTFWZIlHblFWhQzASvrknVkFaySdGIXaT2zi4ezTizHMk4U2aAqK0BZtiYlzeJnWmciqDakLpfOydYscTarSrIUCeTuDqteaNILTU3lY1nip7MsT9GSNoGt8ybO9vKS6HeSTu6WQzHMZn+xz9qmNtSN6Q2/mCFbh2ZuHZs1G5OPL1mcIO9LNCutRVkCyDsSzVpqUZDCRWNHrF1NS31pmVa+g+HaaFy1Zh1t0xZlyVTMWvcdwAZd3maKEST3MCtrxpjt7HhBVPZ/rYZRmG08cuyEP5h95QqVgZGJmYVaI5LIFCqNDuDSpmfsOZ0Lr+SNAsHZyx8oGbd5eotgL1tnG/uZjX9UoN0V9KCx0HydbEXM6iB4byq7O4EUTCy3X7pBs9xSvOXYVVXiiV/RWloSPaxee23s9iTNtuOs0vDYufUf8lKWbVK9FdHaS6ulzUq37p+g1UWQ6oS2n2UKbzHbsaAnCiUOG1ZjCop5izi3K8HiVzxKV2kx4dV8NEAvmr4HZcaa0gR92tyVZU9WmvoCDNu7bQiouLkkeMLEVGZe7vYsFEFL7aK7wpwhvZ3psONr8s22Qla57HZT/LfNJYONgr4o633qBfUuXAtIMvqUVrfEd5jkQqWs00sVEuKdLNbWXPk4kWpaWedeYxVmp4D5pNKWSWs7xZW+ZNR0Ow6OhSwcjYoSZJRlv35PLbL3dVwszIGqPIa19N6Nof9YMd5Lp/eY8RWRInJJpouhbehVvYBlhzx6L9Wk05D0UJ2y+b3biLduE2qLh+IwYCjHVqRp2Ra3gLFryOF+eD1Ni975n/a3t5OVU8HjWgr4EJrtuOV91bZUbDr0wWEruBgGkhHkFWbSBhwDNLwAOPMOAvkEAp5QPZMAiTmoz6pACFxSVwABoYjmT/rIpfwKlAhFAuJykpVBHQR7vHYwUxqPy8e4ZCwWi2BAJgYFYkTYwetM0gkAVDLEnwHI4mMLdNpMyrtL8EqnSgWrh/wE6BL9EUnBUhhfyiKMSJbGhVp8MUFZXIyymClymQTUpUGRY5hMQu4WZZncPBwc0cLKIkSqogiHAO8G8FA/IBIFasTX18CZ3cOLD+sDkepls/Vh5YwRWHgKgaAr+1Zh2RJWLF49NokJi4DBEsRIASwFsFkOUD3YbAGsLEqm80Qlv6CYFK1DVC2DU5ZG2T5pqo2UGfDX5ybHc4bMMJ3lZjQ64OCYo70TPi0Ut1TJlCKQ1QBwIa+qWPAYx6OEdGdagA2EMAx6OWU864syoN23+wTQ8ddZERIzTEkIjhAwRDo4QrEw8qG/lgSCaGDI4cDGxmLFGSZNhvEWWG6NIxrctUCLNzJkJCYfseAmNexUUyDBk3+FK4SUlm0Sw+Cxx1Zr51uQ9CHUKx7NLrG9WGQCd9OJPcGdAGv4ImUJZlV1MFZiU0UoEKHdzO6SJIWGigi1ITQAIyXW+wG7xitRoI3lGwQIgcv2lipy5seXTwa1e+XeijgjOC1JSy2TJVuOcpfn6kMcxnGaBxdGk01FLkKUGLH6GbATJ+gaPAxpaEnSLAYNaQwECoMjkCg0Bosjb2WjppEOg8nmcHl8iUyh0ugAU3NLa1vQqXOXrt2+v60Yy5Ogpt363zIZCSXqOyfcecGMBZiAUI48IhKGKVyqsIPDrtm7UmWnajXsHGrV2fWsp9VRhT4Lv6sIISlGkhUVNAPMjCFQGByBRKExWByFSqMzmGwOl8eXyBQqjQ4wNbe0tgWdOnfp2u18L+jlBDUtPSMzKzsnt5SMnILSVFZ2c1h3cnZxdXP38OQZFF6WJTsQezEJGQV1LR39EQFIPw6L7LLbp7jIkSuqTIXmYEKfYW9s6diZ9Ze2DtbXCbMUUBuVAsMmGK88AnawuoazLEyNFPtxehnnT76Ri9Yu/tjbKcW4KsgQYbRCfTzhbGqCLQhD2yK4ObrScUpyzq1+JAqCajt4vpT0lrCiACmjrZTeuth7GYcwZZFnm6UwBWvPyU7nRrusaasj64t4l+9eL3JevgWrg6EIOAzTt17FDlK5iui3CpOlESu+MUhmYCaVI9uJvbVoG34Ae/5M1THHZgjHcEy8Oxbm0Wx4eMbTzWANPSQs0r5k5JIjNKSLdJU9/02viNAisZd43zoT647TEyeAQCAkiEowmRAKvdnQIvqQi4JFT7UY9AOrP6kBX6yBSOheE6GD0GCwhhAaipVE6A+UnpVk1lJIpLI0jNJwEiOmyGLZGDl4yydno604+ZOzzU4quxB7Hmp7HY78rwKs4wqpnQDr5BQ65SzWuckqUcpaGYmL1MwkyjEuwS5jXIFdxaiAVeJUYVXj1GDV4tRh1eM0YDVhXce6iXUb6y7WfayHWM04LVitOI+wHuP8j9WG8wTrGbUX1F5Re0PtHbUP1D4S+kTsM7Wv1L5T+0mtNLjflmTdKOjmEQ2xoIaaFtqti6jpI4JhDUYYmWBiZmZhYWXd9lLOUu5SnmLeSnwLfn4BAUFBISEyeYcLRKoZLRCrZrwmybqYqqPphYyMrKycnLy8goKiopKSsrKKyq5Wt1aL9YoaVTUratVqu7LOQldXT09ffw9KDIspCUzim4aaJ5ppVGYRmS8sWli2tGq1N6myTTK7RLNPmUN0jvHn9ImeS/wfW6eMovWaXXU/P1ABxbMaB6z65R3wqqWWJ8696vPenbh4DkZHlirovP49Xi/7xA/HdYu8Fl/u2a1ZjqHAc50k/o5f5+Gdz/lb8Ugl7VPm8IeUB6qzqLsnTQpGmZGZFH0+MprP18UJ7VXeJfvcY2iEB7paG5vC0LNj5r8G06wKJ/ugwyztsgc9ygLPHgSnnONfiKPH3e4z/W7dagmZb8RbkMExsstW2SZMGQxOiGX3HtCZWyupsZY/Orc7Hcxk9pBk/IixgWqnhihamduUrz1AgruOdJydYrhQWkZr9A7O9JpJiuOYhiHmaBUB03/RpQtBElyLOM5vfTcYt+kVtQlgW2Cl0a/HUIEAT+G10HAcHba97Upp6MoJfU0uh3+UU3W3UIRyS+0Mtdl7+hSt0nD16ECYSCyabb2zepKjcTIYuCLNqLzQzuiPcnB3CIaRYXjymgD2w9SiZ44WyShqwp+L6i5TU7+fDgnJL49dx0LtjVIW27jeD4/yEv2bPl1av7NGxKtm51i6rqDNi6bBi6P84eUX/0rlWC93BGzds8xZ2AGpeVxeU4HyscsN+0JnZTP41QgKc00jeYJlYzwe3AO3uleV29tlclezDayb++pTsLsWGXU3rYbvMyL17lbYIJoa1ps3S0lvoUmPsX+UETuER1DohPLE8MLyZsPnKeDLD51jqQuEuk6ev2443TF6EOtFIoBUIAtBLAVDQsj1hmlZ6eMwa0cQ7GepFVbLaa51nKzXkbFhMgWDYYnvWNkNkXLEZcRVRCWqGlWLqkc1YlzDuIF1C+sO1j2sBx86XAIaLoELlwCFI/A0cJ7jvMR5jfMW5z1OO84nlr4Q+ob3A+8XXsetoIAPCbgwARdBwEUYcBEFTCQBE4uAiWXYWEWSGsUeGoiuGSUg9gnwPwb/GPlj2I8zPw58aYL2CdQnOJ+AfILwCbwn2V4Gdlma6mmkp3kujMG8DONJhicBvsiYxyyhdyG6E9w+ywCK9tmIBMW4BY8SNlaka7pfjjp3mMooWtN07ffi24E87A9QTocNM5PEQrOncTKuaW5p7hU8CDwyPGl4Fnux2fq61ijsITNhE5V3OYdrcQ7BERyh1KBUaZEmXAjLMzQ9IAmQfig0vTZSz8lxDkdwHPTkGWeccQRBEAAAgCAIQpIk60uSxCEIgtA4jdM4jSMIoqAUlIJSUAK1oPqhZ3QeZEAGZEAGZEDxbrmbQgREQASt2FVSXKwUK8VKjsaZXbhOSyWEIlQoQlG2YXVabwRqc48dqiVizdq+WqNd4rFDzUSsWduXZ7RrvDrX6MgaWEOefcC5wZ389Y/Mnksnh1sv3ioFH/J2Z110/YL//9ZdDz31EiBQkGAhetPqY7ElllomS7Ycy62w0iqr5VpjrXXW22CjTTbbYqt822y3w0677FbusqsqVatVr9E1N9xyxz0PNGv1WJunnnvptbfeQzt8gi/wDX7ALyhBgEGCChroYIAJFjYOLh4+ASFhUXFJaVl5RWVVdU0tHT0DQ5OmzVu2btu+I7DVhEf6CZ6TgxlDiXy7H3dkUPO1kexauMtdL1f5JZHojDSrl7AqFA58g+xQ32NZ2I3vScaXPog9dS0zZlAOKFb5iwaMXLyu9vykAmzstvBX4utVm2Te0N3jx9dqIBTThFRvYF3y7otTV6HEnfdRs7o4DRpqXQd9lGW/eupbYxixZBOerFi17jb2rItmXzH0xXreumu/1cY5PxMSqvkAAe9GC753g/veju20gR44V6Ey2SM+AQoxglNJJgWlFaZqvGyCYiL3mfH5bF/4Gsu8REVbKeuH/RQnwslvwkvTpjMzZ7bVbAVbtVabWWWfx0Iv6C6ILhAnEpJwS62l0FJlKbHMV4QrlBWyCk2FoEJNIaWqo4qgnE9uJ1eTklECL1UsVSlVIwGQUEcl9B1e8N5jRsp0QowD8jig6l31FyI9EyUcdWxC42kUwUZ92Y8TK61HFo0MihrTmFYOBcQUnhYaY3Raxs7Xy7QyO2BPiUmY56S1gEzrmuJcQa4iAxCwAZDgANQQBQQCA0MkQQJjmqbJslwOBYaKosiQYYyzOIScQBIQJCAI6752RE0A0FV9qRrFNuGabBOu2ZxwEqDvt8YHqUHBAjMgHsiGPrwn/xshIiHLQZErD1U+mkkIFAZHIFFoDBZHplBpdAaTzeHy+AKhSCJTqDQ6wNTS2hZ06tyla7fuPfruvxJwYiGghhZ6GGFmZefk5uUXJIuIScnIKSipqGlo6+pTihZv1qJVuw6dkpJTUoO0dOkzZMyiWbACFNjGHwzyBh+b1fNk8/usiKvUpro7PMhhrCxtKr1DQ3SLFKGF21R7Br1LYOvxnK0I8hSSgzB+A3sDYEPkPEMQTH5bNx+/zOngAoFMoUpkSpX+8Bb8y2PleQ6P3uTf+uW02qAZ0ORQwhp6Hfn9MfPDwA+T/MPILAdEh8+B86umu4bHj/8vr2f8EzT8bJp4hXcDw2OTM/NLq43Im4iJHAMLl5CInIZJBhSCXHQcQjJKGnoQAkdhCWQGZhrvfsFIPJUtlGuJMiRJnrqQShvrPCGVNtZxPV9IpS3bMa7nC6m0sc77404INJzlWqOVc+PJB5hsODloWPgkSlXQAWAYEoMnUZmoXVcBlqBL9159I2ylMAhDTLnU1lV1E2LKpe36EFMutWm7PsSUS229ZkctsLBzH8ZpXtZtN4zTvKyb7W4/jNO8Wm+W7W4/jNO8rNu+n+2EFJN5vj1euzeffoTNjpuTlpVfsnRFXSCWKTV6k9XJ+vVVcBm+fP/1d8J2rkbDMdc+933X/Yy59nm/f8y1z33e7x9z7XPfv9sjCibm1kNMudTWhZhyqU3b9SGmXNVNabs+xJRLbb2f9k/Z8vzv/43jPBPAL/vDjx+ycom1Ex4IuEEK/uAjB65L31XoXZu0LgSUWoJBTsqZsnhIPAzZwzDn0EbB57SFEAidiRrvTfzsr2KHBvHIS5BZ2h1RzpeIk8YEHsJsUCBmzCs+W7OjKjrRiF+F4i3WqBYN5KXWQdr02moleWVignVP0ah1XC0IaOGSCOJy3KfJosWB8FIogM1C3omOcI9NBOZYUmAfSQVhNq94srzAJWkvoDKugS10FeqvVFjAcYkzfrWE06JRsaqLG1bB91yYDqnAP/+q8RNi9dP8TMs2NsLHPCapOSOfc/w1xPW5d9akbSVqjL8VIW6eVmBQrpugQeOoKLbEsyZueR0VkXSaxO7VG74yGRMScloBa/SZ57GUsyUOqad6o/n8IYUgVIu9VUFwjYB/IEcYoOUlFCRzghTdRr6HjFjT8RGVP38tfXZEd+3ERSHEIjJyzBTxwCTiyeyu8wwjOseUUlxELY1JWanMSnuTeFTnb0rxTNd1OkTvPSTHhk1xcpnieAp4GDgUu+gbj0au07wmigDl3z6MIrkwyTfKV5NSrYKjPFfYQPJZTde1wL3QoR3vBRbsmefmElzgrKyl+7U5+7UsXrqe8VYS495pXv1+ZVL0WGjvWKZLRn/CRrmkPLzH8W70gsm4MYARrzpodsglF99LCeFeh44K/7iuDRNIM2kS3WnxJcalLIgCbaRcR4JcwWMrgMiUY4K6ChNJUjWC3L/3xyk/LklWSKysuOd0cNK5ZIbZTs+GSzjrkC5hShcwxAUXaUtgjfJyLy8jxktbd/Id5OrkbeNr+iinttvWSpe8mh3IzoLSKXtotvxd7zlmVWaU0iUyiOTzIQLMJQBDYDAvpksqy3WuVsi5xSVOGkYjKcjQARY4XSBzy3h0MznNQ2Jr7hoP0gqfIWe01jGaf00w58o0sYrWSWtmZG2Dw3T5jnLUy6d0RNZ64mZBvjgWF7vLJdrj4qVQuBEHmkjYrnl33AZDqg5YNEMktL2siNA0c+ljeW1xABRUNyAsB0vK0M//ZmFraohEy5Djb5BQbJZcf+ffcKTfc7qTKI99+vHApKARZWSaJR3ygSSdgqXn3xy1OqSC8bnjNpDfhgpQaSIkUTlRkC9z0gnahIKDt5/42+Tn1Q6GHevYFBz8ZJhg7AYSAB6KNocAU4YoW90FLIXAPMgSyHLIGuBhyDbIHuBVSAHkZISrBikDPga+hDRBbkMeQv6HvIC8g3x+eX0gBZBlKo8Uq7BNdEYP9IVuPGo3o3UIxb0U/Ua9dB+VlSnOk3UbIVR9xr6ZH8bQQZXckBF21BOX8W0yhytj8FD0gL195uu973BbmHb6KIf7ETTSfD7OeCI5v23/MazzxpEgdJ3vQGxT5K1UZrd9bvkz9tGlIbrUZibvSkd8a6ukne3pZqO378M2o8nsG1XDGtfHSdFkO9nyEld7VfW8/kMFFfagYYyrHEnNFksV2mrhU7/GRpRSn4qMpsnBpNSGFk/+bJ7ZfDw/L4Ult+pW+Rpe9frc5HbNLmxeN3bSD/tqyw1mHFu5B/difzyA+BzL4Zz6E5375+IyuRK35pbe/ju77+/f5+yZHuvVvuDdfWeflDQi7YQcvRjADn6yyAYyqGc9Z/lCYsqAUimZutWnLX2PA9SBDaGL2piJZ8lTe1RbSrIze3Izv26BBEiceDB+t7wplUcltFA95MFy7UZqLyHq/J4J+cNEBuFKyKJqCO6yNZ8zTEG98/HYA9YkdTSnCqPbnkypcWdI+xlRcnYW3rjBcSlH325kosbgZoHMkuLAShBsjwGidHZOPPDp0IU+KIYlkcR8yiv/LQn90sIybDTOUpYfEgTToneIlSNDdPW7SjfJImkwhKGxJfsIpwdC46fTzza6HSDnanoadoyAvQol3pbrgTQDUimXSCkAwrP773uRkyLFVrAgSXa/4zl4Ix43mHB8DKg1IWeXB+zSvrBzBRG/8HcuJpH7wl495FRFNRDkdHfnYwasag4lKuX6G14NyaGWKEa1jXLZIda3eoQ5ZxrSU0BMZQf0A3VdFS3RgR0gAHJmkG91du6onw3EQxmGdUMzEpAM0khmVSH1KyoapJzQgX6dBKzzyWBAShobm3fvjxy8I9FMMv0QPr1CHpUy5xjZQ228uB1kRjirScPIlC8gR1zzJZH2n/uO8vXYd1KTE6WT8ij5POiqQk0srEi8sWIwSLgj1r1G4+XwPKEM/F91ApB/SDfP/9EsyjEOcy7vYw6YcjfFsAwXdzaPqDC82ZlVcdk/n7N603EFsnr7iNDZw5rlxnI6ABchBmRKG6WdSCHjSQ0pdjLpV4psdbVk/gvhxbRJ2yzvOWcs2pSHCLAjSY5VUsROLA20tScHhaKva+6IkdR6uz/RvNpBEh3xOo71zA+cveKZ3SG6OUXoEqDWov4+i3MaoW9oPm2sCOPclHgzeOtvaKbtQUxjBlcUuV1GQRJUQKU7Gtx7/VwYMchktfmdJIhaeRl/p3qRA494bGpws3e82NXRrKo9P/MbzwLCgFHTUu2pOLHsJIY9mElsAeJWxPXPcnF+3qRkRWATnzrh4TTjh0MJpjXiZliBVlXGrqe/lgcdIWEMz62HlhNK5xvvDaa7N6HRlAKgCABOKIKMnM9JEskZwsOEQgqCrweJVk33tn6CQ9iCfbmVT1eMMY4NgZMJoq1ZLNi54B8bhzCrwowamQXsgB1M2WdvicPHMALObrUhOrmQyCejs/I2D0Dg1zCX9VEj7qxt1T1lQpvKyKBLqW/X4el0c8n4PU+2SkDIUF0K2ZNK01PtbYLZip7FQe7wgURSx7oK36spiZnV1vWcDOtZjr32tLhYG3OQZP8r5aFcwfiAkeE4RP0uK+ft/cjdHe9R3WSQp6OqX8gyNJ4tOgrwuSXU3G8eWKdRUh9HmZQYAf9j1tfGohoP3KnxvLGrbpX9QOXvbcW1fO9DrimWo8wmNdzKWS0Pbai4ze6L8OmNEzqOTFzO3SgZm5DOJKMihel1y1htokQcpNZ2x+Ke+mNItIaoChruZNf5jIXA0woaB8Zh95/Nz4cjx/aVe0CtjdkJUhLyjhSptw528DgXPrV1crEQ+OCd5h/qwBr3ZMhe8BCRunWALpMULiz1wpICgzBq7UGnmILh5q2p4jY1IbDziNrb401Ab+ozTtGsbq8mfjIx3mZ+d9FnnKJDdK8GTrXV6/8at6jZVRxSIJtDgdVzlb01Y6a3bSxPpSD5IH56e9PaUukbq7g4XsuZtCKleIa5bewCpXyVMGtDyPqHsCFGJnCsY8VRpE/R3ZbUpd3OQl4XwvDx/ofbXPCarZHZYbApMuu2PT6ulNPS2woAABAAEAAAQBAAAAAAAAQBAAAAfxxuLjmdEVBevbwlXTbql1MxGwsss9I6W+ywzxEmp5Uwq1DnurtaPPGKCD78Iavzh9++oMsUUWCemCoNwmx3bjuAe40F2nMh7HhH+99ZK9zZ7HhmYzkbuLO+M7khzg5yQbrL2rjfmafrj+aN+KI2TPB0PXC2YvXFxpTduNspPdqmNi6f5p2aCwV/niFL7kWBpwsCTy/+cmXqxPnYXPMssMhq622w0SbbHXPOeYkuugbYm38pvcPF8/6DHn9C1BWfh2WxAAsxj8VYgqXYAsvLbZwfpaPsLp75yu/KXb2Kq7yqq74aagAGAGQCYDIAZubLLlwOBhjpIECUByQDRNI3lbuZxHFvV5QKk25bMfL/HOawbPMAIkxYjgcQYUIZluMBRJhQxikdNQhRoscOIMKEMg5AhAllWI4HEGGKZgjL8QAiTCjj/DAxExQcOiaEQB6MigFMNpwcNCx8EqUq6ACMkQwvqSb19W8QZ2XTTw/YjLMmGwqptLHOs2xHSKWN6/lCKm2s43q+kEob67zVaBQMgYsYEGDwkAMJlNDBAgIMJKgw4CFGTjlVdEGgENBwiCgYseAqsyyyzg5vOeGMz3zlt5QWfdLJJEIB84hRRYMws8WZI02WfCWWWqFOQExGSUPPxMqJtdedd9lNX3ngOy/86vdAXIqRUBjCEq4IRSRy0YgpGUGFkNzQw4kwsiijiT5QiHBRYiVIlkFmaTKThaxmK29ylA+5yuf8nFhFXY0VUlh5mqMSVapOLb+RQ7NPoneFCYMSxm/EGf0ywVB1bHImQlx/L4iBkMqvWHCNmz0Ud8AsaB0tUqHIWsh2NDfE8viWzPrgWoyLWTTUBSqIILQa6quPszvZHvGbJX5waSwClWOxPkYpAAbgUov9csCUEC75Dq88jg8ejGqxX60HQFNOtasdGr1jHOqoQ2N1/KHRnhZFhrTNhKdFG8TarPI0mlzSK0hkQheAyc1YS504qTX/iQtasxybyJDjzBgoEHkdciHF4rnYVtLg4AgKfqQaKST80XCpUxQLXF0fHeXdXLiA8tJFpJEPO8QdQm/i+pI7XoBDXnUctlVQ9jIwjfi+uu4o7+bCBZRxEWnkww5xh9CbuL7kjhfgkFcdh20VlL0ML5koQU9k7w/gTo370TFH7voAiMII2BoXeg9z/7e5e1osRy8rrKO1wVZRyLfLAOx1WCKOKqTHSWeNwjllDDC7IhOVmkzCDXcZ8cAzC730DlZpRwDriyAOdpcIyRwsq9j7t5yicaY6pavz1T1aVys0UZo6shLdmdNd7+m0vG9BNHH8EbuRPEbGtXUeFYc+/BwuwdqOCracefANRv2HNZf/q2NzHB3/f3WN/8/iqIA/NARbHBZhWVnuMaT77Q+eBWALwBmABwBfAN0ABHbPZscc7IyDne5oMNT9BE8gMZVuAvURif5I6GXriPZVr6Vbb8Ool0HozYLrHNFeq7ajieVQjYcmzbBXPYfhdZNErnNcqLnQ+fzVe98RTQh+jFxvVWqmo1P+1a9nlZ4hm0qJekjjiapuqUT5h7eUXzNYsTad4u5W5CTp+sVQu5yHLnaZUuwwZcRfau/bdg5OLm4e3rOq/FmV2AmLm+adoT2s6l9MIQJ23OKW7q/LSXifj5gOQoIdwbi9+/df+x/84ZHOx4IORvagfBxWEcx72vkpqDqB6AIaTlSSw80TjdVwf+/+j8Gjkz0m8OzBAT2CTMb8bhXa/P8fYWT1gyk1sv/BEoVcxxZ4CxQkoriHwB/FQSl/rXkE+9mCHpp0zSDcL7o55zclOaLtEOkoiPW7NAzxfw/9MtpUr8D7lFWc+Jf3UJAOCrf+D7Ja9yZ0Ourekw6WMkzx1+k9d9aDz6srizjxecqvWvByME6NfJ4jD44EWAyKwLwp2FFzoOFExZkLV0o27F///3dT9CXDRDMtsNw6efZoctcjL3zwPRjxSC4kolCJKk0ixJkrQ74yy9WZZq6lVttsl0NOOO+6rzzyzK/+ZOst+yAv30Y4SF0C5N60Ok/QF/AqpbPzE9xO/41/qX1nlq2s3r03mPez93y4y98678JHR9rgJcPZyQM5U/apUX0MXrYPyne7sbDNV8csb51+DpsrhwNL6+y647z0lNLqdU3ipltOb/56bWVcyFMX7hka+nY4+v6Iwthz9UX4oEbK2YX32IBgW//oeuB7OrgTh55BADGJMuFkMEJyJXapOFu07WhFggho/OQhwSHIRUQRrxZeDiqafAXokRyGSI00GWCgENBQMLK3eVO3biYxW9LTYpdO++rbOqd+T2YAEASFgO2A4OASyKGhpaPXovjEjZdVlDe+QyfrXCtXtP3GL/mKKV+cHc2XemlX2A/Z+QUlpZVV1TUW+GedMcHEChUNXSqGNJB0TBlY3EopldttCDavZmgh3Kcn3+w1qi63uwCEYATFCJKiGZbjRY/FBXIQg+csImpoJNJIo4yWbox/jDfZVDPMZjTPInn2nDMeV3wu+FH13U+/A6iQgyzZIhaZYaYIs8wWKUqOIms2ipSbPlX8Nj1yaz7THPMt3tpRvuJgJw/BJx546JHHnvreS698b0bHTTHFrnETlJUwUdKw5CnSps/wcl019YW6vwbUExef0cOAoODQsIjIuPiExKSUVEvCESHhiYiIiYRIiQWRIaNwUSijMmrg5U2nESI2FwW1SlrVrU4PhFGcpHlRVnXTdkP3aoR6jlSUuKTGdXc98sxXxCJFXNM1fTIwKcnI9MzLsqzMumzJjuzLkZhyOiWclNqQm77FozxLnnTff5TVjfAbi7E8Rqx45SVPV2GoSNHiJK40TbVhcWl5ZY2quxkYmZhZWGlEPkSGASYgomSAgkOSi4aBg09MRjnXxTe3BXJdfXs7IBfkq1sDdveWQE7j81sAdvvmIHASHdxlnP4EjGwY6+itpiovb07/Xo7dGqo2sGn9Z/n31lJbg5vef5eCW3fphjzWLcdv/TENe6JfTLfhMgQ8NVz/3cZjGfHsRiAU3qbLdMnzGwPrxG0+2KgXNwFyWl/eCojTPt/ZcsaXUeTrOOvbKPZ9nPNjlPg5zvs1Lvg9Sv0ZZeydi5w7X8zcUc4bl/jjsmBcEY6rolEhHpWSUSUd1bJRIx+1ilGnHPWqHQ986Ahv2bJGdJYvd4Q/CdGIHmSkIwIoyUcEUysYESZNyogElT5iZICN/rJkjkFQskcCLPQYjAA3kpARR7JcOWOYfHljJDraSMNUOP7CwRoZinB3xhISEYxJZCRzY457nOlAfu5Ie3OyRjpWWjxy4054gulwUcFIhfUrR67ugPvbdapRg5FKWjYf6WyzJiM6G1WdhcxDRnC/Pjpg+9RBDukrfXmUgFgDG6AEKqAGtsAO2AMHlKJfAfUGMCt6EmA1cpRCgOAizGxmBMtseIJPfvQdvvnZC/xy1+90y3+CIbgAzEBYvcJmXL/wmXRH8pk3NBI2jYyMXdvzmLjX3Xzi31ibSYBJ0V0kD4TyH12rgQFocBbI/hu2FWAJv8Sz7UvwkHSNXRuwJWovi8F82XYu8+YsECtGNnOOeWmGhuxdOSCEcw8FhIinliW9DDNl2+KQIhUiDgMtzQotAkYQ+/7CPyMANUx80sqnbs2kdjwPDXNJDKZbZpMDTkvtOulsXAQ7nMHXbbBrI6RRMzVEuqmW2GBf62Ti7O8Id9IRat0CEuN+TlxNYzppJltkXVOIQvRX9DphD8y/IY1JwFmJIsEoEy3oA6Bnv0HGpi0M/wJQM8tRwcDeCOM7DujZV7O2oUrq2+lqYtjL6dka1jlBz76SkZVNCt+K3jFlK6Nj3T1Cz0yBLaGIyGwsA6ESBgKBHJgxEK083LKBfROzkQCypMZJNDJv8/wQIQ0pIG8BwNaQ0FwocA0xGT25Rhdg91AaBS+AFxwSqjT2x2xeQe9RSedCJ/TarMJ5quiZL/TjXDfaknirGVjSLfRj3pbaE3w1KPobYsRifvzbZ0cqnbWMDZRklLEL/VQGZ+qCXZun4uilyTT9wnzaNFeaYl8XJkiRbryZFl2Yh5CuoSXKdfkwBhPNtsTqC/NwYFQQxtrNANvMsh25Lwxj/Xs4YfbOCYowsCjhUKGGR4OANgy+qM59br6MDj0GjJhjgSUm8+5HdjqKH98QsGgUEr7nj//eBYEhUBjGwdjE1MzcwlJtRePJsxev3rz78OnLtx+//vwDcIiZoPmPad3FPhpfIH/D9yVSMRVSAWUpQwn5rtHq9AbRF8WUIy0kMoVKozOYLDaHy+MLhCKxRCqTK5Sq21D60T4aa9IashceoZvJb+e9dvknuoLjmhJLpDK54uWVO87tOm1f3qa64160L65RLYSjb0s0MONBV20xS91OGOe59K5tFneli/aONe2LDkPnsdiBxeEJRNKLOm3rBvG7ZzjMYLLYHC6PL6BqzR+mwGP2dBjqJnUeeMy7sZW7sKUdieoGMu8DCC+qR4/MlvfemYJqpKolXXi+Qg1wldDtn/EumoxloPYIjqvqn0d4mJ9XJf4NgKPoF9vUV/84MP5Iyjm9h1m+o1bBPeFK7rF299F26eFRU8/o2qPneXr7D7kIR3gduwa4z3k4Iv0vg6u1TKuVuetjpMhTk0JbHfMgbJHnnnRmJCdlqqoH29qBrvbsqKnzlR7rSq//5m8d+vFd4w1w/32HdEy/g2Povbru4xxOj+53cpx46nHCqc5Jz2EenR5Oqag8asp4Dl9jOP95vHD23GbgBasXPX900JCBo7sNGzwy9kZd3d6RO3OW4J4xxD+y9fNBsfrZ4Yer38O8I9/dKBu5bzxzGLLq6d6H3TVFebj0Sz/H89O+j1A2PLzcA8m++uiD9/uuoG15crnHMH740x9+9+0nEZpjccgO2Gu3CE3AHcYbb2xs5SVVCjY2+1036TOhc282zSYN0/k3Jhk42GnczyPbdWZa9jN7jJOD1v188jCy0LGfRT5uTjqv56d8BbjbuX7FVGj16uiqIm+Orin2y98/BaY6h/1elmDYcOqz7oXc6qXeH/9+vSfAWOJxqGLPO0guh/3v8eUedQQHeIPmBqPD77AvgdBqA+EO4441PbWJ59pUpSElhtQX0p5IdyLNifQm0pRITyItietIfnIP04VIE7INSpA/qSc3ED7Gt4ittHPhpDxwDRyiZzp/ApETsddZX+iQjunIZlbjM+LwgKpsfdCct9hgULFbpma4fLNM5fqi29V1qVHdpYCXBDh/H1eeOusRLc6ZKHnslDBtgjgjT69cdctnHuURf4oCh82ZhJqDXFS2KX0u9XAZlyjCcCXxgcqLhrJYUgivhmW4Q5NpPNJsh0lBzP+g2wsQL927uLnS7krMeOSg6LxfSsgplCqjpFJ+JSfvA6CSH0lzbODF8cUjlEcMo6BiBAGHgISBR6KAzFRsA8Kz+BU1nV1y+9pXdQ/bt2jaPQu4j3psTdtxPT9Js7woq7rt9GG/7ZDDwRgz2CVoeOEnOznJTV7y1TW5HZXfgg3k1vxmN7+SyqqsuqZCm9GsoootoeTmNr90YsoNiCb6uNmb2rRdUPan+5bSl2cZyoIwTKT1AQgmYMGGi5uPXDyal6NPTMQ6RP3PzmpOcyuqtPIWYP+PMzS9sGY2u+jiSmxO80prYVnlVjAOcqKS44yEXKhLdVoGQ85eYGYiV5PSk/4MZ2BMRN9crAMhpZzKHwHpTyReeOLhO1elDGhYpKRjgmlZMaRBpSXCZgrMogX0Zdnohm1Eo5S57KEMk78e05HzYmaXAg92610dX15H+hrd9q6xyok8e5pi71siZLQK45T/u6cLCPkigYUdbwXw+D2pvsJQ3NkrEQrX0pZLJmb5c3jE70qLLiD5///9Hy7c8ORNEl4T8mNAbZgwYHN6oL/MQbCKhX9MNlpOFF9oAHKuAJZMJDEvoSosVmNbeCKNIrtyLa+PVQ4/36Yu78YuvaAqwKTAlNlXxtY3NtcAUBSW4JSUJjriI0SH+5zSqpq1gWShefywMz9bv/bXLipW9OH2/xSp2qq9E4ZgFozAPFgEq2BLH+yefmZWdiobYeex97vLJW5w9yJHPCREIISFZCPFi77YMz7EAQz4QUWZ8IaiiEilBjAUiaULpXJTtf8150EdkiEfumGJmZNdULqsun4vHE9l3rfn4yaAuDl0S9a1uwCCUYygGE4QJVkxmCyapGjAfA3Pr59f3/t24HIHEs52VY8EpX9yS1Xd0L7bK73toinEe8aXQ8Mg085JVjaamRx5vNRZDEdEsx5GucX0aIhXdHh4rO+6W2rFcJPdsl+WP262LTtv+OJ2c9Zc3OzfVVkzNndxfO1kXAJqHUfrvvgDLS39ayeK7jrEQza0wxR1LYeVW7Skas1uKJr8MP56uPnVO2/sLWvTGYSQuGnu6SBplnc81WhWX82qbrrcnl7efkD8/xcV78RCAd+b+BbujQ75McL98PK56vPpuFcSXIRJISUve3O0aetqqoIC8M8XrzzxyI2ZvkTAZBBQIIC2i44rIVWEJdMmhx5+dZh0GHBIO0g+0DnQPtA60DiQPxA/iBRn63v23rgLxz5t3Vs+v+0HfsOv0DpRi4QZ91vu+38IfrEXL/S8BPeYZRK1FBEllxwiZJNBMklMoUsbnxCZZZopGvEwUGFAucwlLnIBDWWUIqcEGVLikAQglX3U5/pQrdPlQlMVWRIFnmMZmiIJHEMRGAKBXrfTbl2+dPECtaMBuY4tFg92lqC5XGB3ejODMkPyPUbC+x+Xz/TdHvmxdxAebEgRJlyEyPcWrY9dXv+DxImX8P4is8/np4G3GPrLrTzm9u260z577XfQAYccccxR/ypgctx/Cp102ilnnFXkvBIXlNaZKf5iMLZUZtljkszymOGf9pAjv7lM7Qt+xcgwsy3JTpa26WKcucFx2DmLpJvQDqAeBJxtXvP502LLbAmzlA6jR07Oz0AIpbilmKORxjAWeovkMeLC7JJCCY2lVukE+RXvYbRz38Hog4fev7jrNh8TI5LJ/ct3gzEos80AZK6We3T8HOSs8EbCZ+d75gv55yFGfnLyhdLV5s+KVR86zULdUbop/SQr6h5TVLcqp0dw0XgwqsBxgJErC2v8aT3sPcMtCwnHnbq7aG0zdIvxJDD78jaP0Y144jLkM2eAIEyDC2+66UtzQXJncQh9RjhswQghkFLX/iK0Qu5kIi76qAmp2pwroBzNQ8tcYGGMXwxvtYWvkrUdF+JjzeJCvtqhTcZGIjLVLKximLa3IH4RtewCYAAsiNOVXGkl1CKCQuSH4FJTS2VueWcp9NukGmaa/rQShGQhCTZZakF3qQjdrJQzzLyMCXFDxNEeZ0bFwguY+QkPFCRru0Hd9giRvPOM/EuehLYu1nTOVtAneBGCYSYeIaRmdcxEI9JC0Vvhm5NyF8hKyMdXnkcLxeD2PkOL5e4mjxpvx9Qbs6wIwcmiqSbqI+P9Lu2ZwwRyFOKJUA3LPOzXScs2OmtghjDlzb0twU1qM8ydISsAHZCAXe5uPSbkjUephT/X5+2iADBgL5SAEmpeCrApmQA45v68nq1HrSLzyACIADrhKYuZl3JZ1qx2jMiFUWwrW/lY3xWeDEslIAiY2LvBuyDS5AKAirEJXnjnnbvSRTIc1FUcEoqeXg76FrhaAVWVB1MUBarKC7BidAe0DllaXRQSeiY3jXqGCxCzGVUNBEFAuVr/V9KOt8FgYkBiRCfgY1Bgq4AgCKh2jkrAw1PNykZZ2xuYWAFBIMULWqvGa6K+jiAQSOCWgWtcuBDgBQJBcIHyepGEQEQkpowjcFaQUZvYZm1/yDS7wlhioCUN9bKorD2cj70DIwjLNoh6+2EriCl0iTuanN1ZDTtoOyK6OtNgDHgg0IInyaqRKo5cPwqgIFBBi0GWoRAUBSJ2w2QLy3PyrBeIVPc6tSnKNZytkSOqQ3AXV+guXfm67nxsgjoigc5NwYcIj2i9jVp7zRGi63G1IfO4EUkBkFBITUHcpStEzELlUIVxhiyYicIqdDa7NAB8DsXiblOGt6PLLsGYksXMSC9/GviZ5HhBGWUqw2xFVS1FmYiYG3ZNWcFV5aJpnJ24szZ3ia4IIh6UVSYY9kJ4N4jQlVDvj6WCVHJo2bp04oRiuEIh+lXpZS3nMDZwLhtpSVYFlaUQ1nZdVTknZVk6l6KPQFsEAQWFsR1KhO5uXVwySHYxNmq0fJWdXuaEuUdGiiVyOqIHYDQ6lf6Ex1fBwTH4FoBbmxqbOuoIfcTRorfAysQU98hGx/J4BIDMHj3iinWds2gAWu6coUozCuFal/3KCKvhdC+gsgEmzzmmsRhuEfT2XH/uLF9iYSVJs/GYUwZIvIthcb5eCwEzS5UAHjjkenIw915q6nLDmj6VDBRKFQUu3xvtqHDlqCorhMlC4pRxkBgyxgNGjdko0fFYNkkk1ocyaUTLSp+tJWSGlW6tQX2M5ARDRs3nU2ooHbktFrXGJiDB6nIHKmp7bDTsvNrpg7WXzwraV5Z8rSccvJXoeAFgWOpwqd9fOuvP9mf7uaMDTcZe4gOb/6FjeqYQ8xq+nlZpTN5fYeRHIyoyPcr4yN2aubnl+V7v33MM8zkI7RUrAVO+lO4Q21BmLHTcgQyGVBJK9TJLvGTfKTT8+UPBEqAOdv3mw67IfVgUnlhtYUIDqmZu3z56QPH/20nu/6Dw0WoLExpQNfPqVdMGaL968GUu02DKsDRPdRrLHRy0KmZtZNNM6+EWcWdquYU7u1soBi+wGDC8Lg0BvEa83PboSr3iy4wuC86C2ybdm52ZgFlgG8xRrtcKuow1gL1bqaKXzz0YB1MxbEr9fmmHvR7NWmMvTeESE3enOxiTmwoNaGvpT7mV+WRpu6ITz8grfXFy8UK00VDczDcXO1HqSn97CEzfHyckz096th1YRsWDYo3Pplx/4TOopx1juP3xXGPdZQf9FVJOysFY1ZUqFs1CNQCYsWqstqpU5aYJZNgpPRs71i2rrIUSX4ZZEpNZE07J7tC7h4n1g2S+HVXms0Fe2tyJjTgCp88p5nQTsxDX3kMSA1jrEqXhlgaW8uvYhpp18BYIFkhgNNGGyWouWbhSo8ZGqtGl+ka1lHI3H1295yUHezC9XuscOgef21ZLq09pRLoT6YFox2Xu/sasGZTSspDvs6eoNLdUttzGq7Rzh7V9O4TpGiUB66xjMFfTE2N6/6ajKu5YiIWytk0Gy+3fp2f39nk7X+IPUJb+nFU68McAY2OY5Hk6poMGl7m8wgrCLm2NpbbtHlpdxJbcBquT5ZxBQ4bD2jMuiNUBrOxV6vLVZ3bf7e6My7PS+MYr+b7b8sgM+Sx+mTlb8XKZrJmsQzyqBAEXeKD0lbikQq3VwVos1VyJGYcydIqiS4f1PN1NNYCsEoBiK/DxKo7L/hgnzWH1cqeVAJXr6TUkZ9Rx/t/SNVWS1QmCKt475d50Rf/zxvqpF8K82uw4kDRW6OHJTu45viKTMWsNaS09DMrEa/9OfTZ9yu9jVmmS/XuX6SpWptClF+dmCv0qzmncNWLWdQVPdaozneVZngqKZCCUJEtBYOUEBZZYighIEAimarJval1TqlFypUSuIwY9JG6sbGBtJvJANFqP6VOw4V00aQCGog+VcZEY4eShPsSqxKCBgpprZKc8sZaBVmvM4kcShoUyFkyuGkYeZ1tOvRNhnEBY/MIA3TInowN+G6BYIU4rqtlbhIiKri3QqppmkBiA3/8miV4KgW/VIGZ99CAXDAthMcgb0JTRslBKVUtw6uxA0hr7dqyhMuI8erNIUBOQIG5okzs04gCGykAtJiIJQvJzqQTXwvAuO7T6wJcSCMVeLxv5Rq+7Zp02mQtGA7ivORTnVoLUpPNyKt6o1N5RrYXEjymnEayLnJpkowepqbXJWOkxnPwwFBs8CAtcRDUr9qYP7FgxVWWFM2n87TS3EUNGXpsicSidtCmrJS/ohXvAMr0T9Cc0XfuU0ykGILYjCG2fOVSQ8TgI0qwhBCKyYzojqiEQNjpxZp3sxFHOkLzfHBeiSE41AzdbepAUe6StUx5VSmozW0bTB3M1Ggx9wbW8wWZYCxol9w+1blw+U3xaB1le2EZObdUUbFnUmWFNyhrIvEriLOyp/fbS5USG3veTwPR0rCHskZTnMMUmiExOspUc/ZZ6mofvJMM6EazH2Le52zCmDyAMMYLAILvOPHJK7uPIEMeDKRumCoWvmCFdN27XtDqzir9e4qOyjY5YVYIO5liMGNAQBBxl7swmEMQouKpTKhLo12HYnREWYBLaKAS5rJsAFD2nZBv83geo2WWwgJ/S98uJ2FlusJGufLK7QGhNwyLHL5YX5+47wiib6DgyKC6puUabpWmiVPjzpHzAmcH+BunvKMdm357h3148pcc0RsDzLUPvAhGgix4KYiiZUCmFAaRe4KGGpTK4Fml+Kmajo3ECKux2Aoqxj4NNbIUg3mkP3r7unQ8gu2c0XeFaW8gxerXCAUGPlQqrAzZqb+MxGtBLVotK8S0lvuK/qB50qrJk21bPAtB7KBfBfi244NAnwlw0FB/zIYi1w4Q3mIYhKmEXNVz+fhhXb2f+ZA00ooK69Y+wd2+99dmarRiBvdE47uSrXdwhe6dU/WU7Jh9PxZFp8gWc+VfdrnA+xbM1zRY0FtSs2v7NyAW8vi7G36jLocT8K0QQp3L//vfDuy6Hn9m9YdkHsDlqgC/2ThLQKT94bz0baNzVNnJKze5lcN7tNL7n0WFiBXa5oqCVwIPHzEEmZ4taC0X+EsoJ3Zjfk4N6fiPdDum0xaHvddlzSjx5yXfqqAQEkjQ87BV8nXCqLI4jIewzO/avZ4agVztfO++P5QhLAXlIpJAmF2GlPNVtRJQNdLSfGk+X3SC0cy5AEQj1C7UWq+Xh82yjY7adnJTle4r5bzQTynIDmlP1qoexO1lcLeUVfhX3n2eCAAmMX4oFcz5myfs63mBT25WwCcmT/6RzeOqnQCiY1INLbSfPQT8sw30l2/VBhLQUHYhvSrnjS0Bdd18ylaYzLH/bMREjGx3LoyDRnZkXEVro9RXX63M2hUdoodDCpyLgpn4fgaRTots6FAkTZwUlbi/FCFjVb5MEhKLRYvgXLm8STyF7xVR4U+4cHTsEyikd8HtU43UtBmwF7NJfLxIGGQ16o/gSExKMv4fQ2/XyM6/OSb8Hs/gn3S0cFL2+BbuspugiT+wzwcKlHC3mNBv/1psU1IemI6MwvPsZ2RQqeX7StZtuYRfjQvTrldes2zC2TEMgzfWmL+XQvatXy2/V6Mop9F2HhkCPVLTNgfaqTd/eM9N4SsVnmo6P7dtFO+yq2VvHAUVks+BrL1kR1FKk3mUM0igSfCchtpNfQrn7WVwp5+4wNL20b/bjNiL9hLpUjy0aHKvVe3ms3TlJZo3jVk0pGiUCFq8Chk4SVBxN4woy9rflnKCtILCNLHuH9W27Bww72j6goOHzN4guR1g7WVdQ2TTXm+89ZZot5vlskU5nmwsFqON9w142viJmXX+BsB3XhdWJf1EMicUsQr1m3jmH5lhPqqcc8PQqM4oGRZqLnnUrWXC4N3p7fYtOeDlinzD+FNgZxgTculGCVoP5GZNLsFNiYap3mVVILakGd3nvTi4VnuaUEks4jOsyiQ5dQxfRoe6Aw0KDSfkNiu3TTqa3yCpMoP329tVD705WGR0SBukMatXmqovmS8sVA+h8lXqsyEm2rvsRKudjqY8Dnr6KTVjc4rosjuuc6laIq7LOR/SIy0nY/XG52VG7w5Wkt/PGzHnWLdqhYWvh4rnpn6/Rc8Ork50JZ2yyxu7HiwGnYgQ3fY+tMxSSz+CqgbV0M1i4yNGmUWw1hkU/2y+qUWk/SRZdEVqtaOkxuHtkEqu9LCwpY9719Rz9aWf4WTWu9XFh4W3Lp+B4qXLEzxXW4+YV4LOyocdRFkKSBzWVS9LdmHAHbje94cSqASyCgkAar04/JoBii9vuL79mOM3pGLcEssu7p13paI/Nif+5BCqpckILGzUKF6x1Fk5nYz84AME0zTC8d1eWJmea5pp5bL4IwTsBFFNLrwDBDGAuJ6b95nde3uF58BUCGBex0HCYpih9LDTTEH+WEYGTBUsOopgdWwohs9XLrvCnAKB4WA3AykZeAuL/2i0MGnNkFDnplqMOr87Cn8H8b49NsTUyUOwBAxQkyUqkLWJgb9cCjNs3FmSzw+Owa1BhHoxEBFfxGup1Tv8KOHPocNsiqWMeQcO5QynhD2VtEnu417hiBOGMMHBkWt+Iy8mPgbemHC8RMlaFEb2TA0eXtmZY0qdw7OnlYw8BRbiCc7yAqRW4r6NF7hHnoG38mx3MGe8L72Y+sIYywen4JmvWAvIlUOWquPwws9gwA3gD1UHHNQTu+qP7CMr4zWBoxzYZgzLT0RPEjaa/N5RMYXB170wRKWINNk59U3Wz6f8RVN1xeQ2FPvi/7jz6URtr98cdu+ywcsov2NNO7uIln6r/YGweVdgfxaYVsddSlgwCWZIHO8USiDIQSdBps41wByazNIGS8z2MJMtRPCGCBD3XG6cpkyM/rtgbY7ay/l0ONtdqZyE2TU9R9s1blLaIHNpSN8HqUpQKlFuYP08SxSkMTLxmxy/bZ4FQTiFh4UnM+GWaVbAVfioCddOMWSEZ+0zl4iPdUURQGjrNDpxnHdrgTBXmQNAhfjFjEqIs0EGkwQGMgcybUeFQ5+1QP/xmr+9pefGUrnXJ/DxDbGy6WhqFxoqjmpWNC/TUuxM1k+/tvqaKvGUAb8ppvGKJGqmFIfxUuXv5OwIKEsvK5kQfsqfBLzueIa3rX1lGhuuY9rDbvUXdJdpgWpQ68qQcL3f6QZiDlsIbhzbNX6583eMIiePxAfeY5ri0d8eY7B3ZWTnCjW2FeXSvyu6nJoTDPikDzow09Tok4E21WZim1YqVWwEvyb6Jctpf7rkHjYVCiTbmiiW4laIYtU2Hf8Zrr3300Yr9DUM34K5N6FXzT6An6mnpJLSYYkCUROvnTCA0G1f5oogMQHzNOlwNmJBoTE1E963Wrdam+W/SNDNmYlODdIfhsLhy+1KFj8WByTeoUjHsb+vE9ktNNXbTKFt3QHqafIJsOjOej6DNfAqDB/x0WN9yyaePoJMMVkxi9wZWMokmn/aNlmoCgI/G2SPFU0yY2nt5LLv/XdM0E0MWyqFVJoOw+HXyyKXEa1qRQ6O39NYvoIPLTSIQ4bHmGYk9B4TR1mD3OoOqcepcjTog6IGhwVY3s0qM1BTHrxuYR4k3jk1+ibLJxK5IgEbJhZy+4N2EQImXc0jQBY0UtP/FgddGgHZOdyF1WCrIYSOHvfdFyBo5LXItGJK1Ux0Rjgv4XRz9crOR9buELOGJIi5T+37nRQmiKYQgMqvm12tUg+B5amQ25yPIC/6crtkvkssOEp+gvqvQtB2ub1c76Rb0aONX3cT/Zfn7Phtt1GWiNr2NIX91xaATLLfKuUL7UrNb/pBOHH7V5AU4bpPUTiRhgGTw9AqcqyexXYC4t+bwvivojw2iBXeHbnIzcvde/AuPvEBf5bdonC4Bv/5VtKDlCud4aYzTDRdXErwf7LwTSanJpafjOCdX3Qa9Sp73rUt7aYAXnM+aOf94HOh2gPxoZIqNsHY/r0RydbcytLJWNvAgSd4Tutkr5WcH/Y4TaSASCNxskbWTDK2gddSgnEDBgRdVkV1jpJ3cx8h4QG7kkRspAdViDNCT9jsqVd4voY/qHQqCjkRZ63pHYjwndfxk+XE5GrQz6nNKHWaU1dt4r4hm3yt/FNnlThrZ2AtBCmCtJFx4ihYGw30qPspgekYyOFd85Ufb3faKdV+88w6UQQJ2IEimf6KyJVA7ipAIId2/Oe/8eIErJPsA73x9E0cmUZkLTfaEqgzvpRa1XT/gwOq1W8F9wdUzMrRun5cNUrEvmumi0eaKrwan500GB/6KAl654AeWGkSjgbmDjnKwAxkGIBFwPeCBQWGyCSOsuJLiIRIujWw5f+bg6/YfuVkO//KSvvWoKqdzTAd0H1UyDWokiZUHVJm8TYg75KLQ0CASPnUptr6ZQLjHu8dktGCtGqlFa6hbX1yRZaR8qaHU4dnF8FG+1JMZsNrgppoXUzJfnpRhEsnJo7IRBzPZvrdYSqYzJdbMA6S3cA/BYLpEDaYqI5rUF6sWw6W8SQ3C0Dynev7nmPXzOJEzPxFSjdUvL24uOuYhGsgLZTb0F96qdc3+69lGNMeUmuamtDDHlWUh3ilZO7HeB5Y8m8zN8v9Tz32BtH6+P0uaO1KyEvB7OfJa+wUBNs2v3y3XhMjsY8qFXaWP8+31zfV9NVlw+KSNlY0NpYIqYp/uOLy3XTHvz7jI2rYeXrQgNW2rIztJxYS8K/iguhVIO9LMRsXPH9ndpburpONaCIs9FiVfZSEfpzoztnXaZUrzYiSNIqMqjv1z7FtWH2azdMWWgvuoov0k72fiN8pjMaD4iEY54u/ob51+/xnk3waV1zZ8/yT+mWtZ/0jCnE9DCnb+fYtrTub+M0fpcHy2VKRK3leiIqOnJIHuk5fDfXTTi4cKOrTtKlFiHCHT9DACK2bZxWtnSSqwQTp48sawp0CLfMINfQ5hz1nfcyw61ZOVJiDuQeAPtuP3k3fg4rr1Q/IZj2/qrxje6T0zx2vRdJEBT0K4ikad8hxt5E+/7ThHs4i4cSODuclSrNF/6hfRLqWGrZh4z4G6GzKWap9QgPoKvgYxEMMeTjme1Y7ViJ7ADidt5anmBH3CDcPrRiLfNs9lz/v8xNPSBdxqeIICp1bRnZXN0/3quW9vjAugVSGYIIOQG6pofqrx5pfGYnnKBTWtfF7mGHX1HOXhH5jS6aTzqeMf9fWdC+vQaOaJt4z3BJawjb/Ck4g7XQ/OuSJOXhpfA/39O75lREN8TFQblQ+fNMokHyPJKxtbiaO02x338E12fHoogE4QnASchNnh8rCjPP/yKNGhYvlUoklXka6RBajOHw6acnn7GE98Vv1YTsE/rFAB2r2IgvOXoa5hlWZwn12dBSLtGT81bwLlTNjuNL3mpJ/eAfuPs6L9E2k0nI/TW9nftfVKEsS5g7pEySX4NXxvdfQk9Mu8qYiKatJrrtMbIbH2ViMxWourHFBYXIaUVKhn6Zbj6XF2Yklud8mw4wcj8MP4kPCNOTxJansUSxxXH6KABrC9QMwGb3L2u9PlfixP37YJ6wiko/9ar1+xnWosGVlTKATMOlQtKnTauUnzZqmzr2Fiz3AHDuTU897rUwKTGl9ksGYd9qOcO+rwjHd6fBu0DjvyZ/d2P+AEwYzC/LNcuSNNHwuE4JDNBohk0M3ajF2Q1n6w5whaIYc5U6VrMqPwb8L5mWiC9JIuHjU8462Yuv9fOsa36BOQIPig/OtaAe5Va8rqu8yJkhSpa796CQflAuOfO01r8JVhxMlWe/aU83qM53n+20njZ2dd4ngeQrisctbHcxup+2DegXlg0QpVG9iVkesk8QzhYJgkSNTmHkqzhRbdKieGqUXKklRKb8xnCoEiT/rIM5WawmMLV4gtQcVNQHtSP5+YnXC78RyqZ7t7UO5X7exOtiBWS2kTMLiVJBf5WysMBgNjiyKUMQ4643My2i3/Et1uMs1hSt4NRg1cyKgpS/6B2oi0wFZLxxcPuyC03QjMvnpVoEKwn9MCQEUhQa47VkriJL7+pT2dsveApKNs+I96TEZ2lmHXaSFPfnySxNLkLUOGyFEEI35ApPnckdEb+oh7n7Cser8uwP+ehTugjCvxStmZ5rIVPkxJX+r5s6ZtfXqQMfw8HDKqYRQSCSU+BKGP5ib3PVyMrsE0PRmJZcUP+BzuwNL6InLj1SLRd08p/qihSKAUDHCZKKkgfog1yn+XZ+onlw+c1vN3a8q7p3jV5cdtsvcZG3MhjrH6pcAj0fGfX/tTLqrb8iEiekAmDJ7sn4WnOsV6J20Mx98M98do/asoFvZy/0k6fC2Aqmjjab+RI0E9N0QSRM6uH9yXYAg+eStp7+2DuEKJfDXCi9V1J5jNRWQocoJBcvdCqbPckTObLjlzCoxvoD9th2T4SqUDsU/+aquEtYS+tdjQf+kxoDlMuz/KCOmuokEVGnxRYGNyZJ/d68aEXHQO20cKw3Rg3G99TbPfckEkv+6U5YMtigq1GwJIdPLoUxFPtj1qYkHYqzzBGLz5WFYqCPQvKr9qLMjLJJqCy/LaQrmDZP9TCng/oVpJ07M0K/i8XnWt2Ftv3ytTP/t15z0fi0VuK7E996rXccj3fTY0/ie+PY2KckxVNqwbskPZi0ej/9SiD1qXoL7JDUNnymGa55/XYqYfbdMpA0+z7UM9N8jz/OGDbFELXqQPHuUzJrYzL0lvGc1hnrh6UmXspG6cber8NNKxlx9yyjP9KIAJlb08gu0020q40AK2ISMFGwbIIXRkwYcSlx3qBo9Cci9afrDdDx5GuF64yXJ4/fKRJP9UDUAv9xUM2RphXD60cMCBD/aKQSBGxsMfunz/lIve4nLZI+m5xgc39CZ3gmBN+yjsAiNr2szk1Ti15nl2W4sROMrB8C2fzYiba51lEEj7QD0o3bOM88MVzRd05b3dUjV0h24nhuH+nNtDUIPYHTn21vOZBRvBO3qbpC5daUJVBiIqU+n+jy8UhEWWM9SCoTocwZCFgUpwJUbAI3/4yxfPEy9mU9W0OlvzzvWrK7aYxdnSCVht3axGmY8RuGquNZtLDW6Prcf3DQWnWyJPVjkuIhNjdSv2XtiOPqBjRJJPT7x9B7ZREtPZq0SXBHKuqSvnhHwYil5kXJf41F2IbyNDiJduZ+JBnwE1yWWZg01RAU8ml8GipOzsGm6MBPIu9hrmNBX9hOoC38DqBqXm3TQV8JrMqmjrXIUa0ruE1ncae9gg/vEI2M3yOLn9JtsgesVA6XHY+hd8TkVMOwfXEurYeuenquYNf2tx4NP6vh6BOhHeWMK8f61mCu0TBdYHXmoXx38t6dvUerWiiN5eRjUMpB1dysFJt4iufE8xROb1LJbpxouC9/aWSIyLzixVeaD+vIQnt7JkFYBtQ4hUZzsFW+PD2mVd0e8uwQ4MMJPkXCdZLkI2iB3tura6WKPIuXkp0UOvl0D6ohOHr/KK2CUwdEs0Feu0T8Byt3rOtDzWnDQP1zAPaJwjas6TJ6F0jaPpDUp2kPUXrVz5uLGL/CpK2eaR9FqqbPg6VXXV60eFoRYtJY/iKRjCNL7ot4EO5zAnt3v23YIIvrSgWitVvFb574PALFLVm5AZ8bF4/CrZGmPr/5tINLQnEhry0eWo1N0V+sfn8VTnbpEF/29biBxHTMKRi0UA/94O5AJOWymwhtREht8m6xqUjoxcMVY+RM/aFmAGF/R4EDckP+k0vrauqspkaKdoRwBsWaXcuKiFAijcUENRllH5XAoK5ldQgWhit1EAq0sBXMferBHBMmLhpO4/G44Do6L78nXOBfyk4BYtKaEHBj2Lge+H71z2sbPfLNAru6KmpPVDg0cNh4sYjFPyV46EQZBT4wjtC9wwOG9XZqSlVIE4fy12taxpvZtp6orMAmrh09InDevgLKXP6cNnAD9dRafBTRojwe6/YmZjLZo+itm1hCQ5ZBgUZZecniQsUcDkbQUY+0ZEh6RzgUET+2AzvANqLESAi9DL0aHZ2cqguQD1TY4Krm8nwEZpaHwEaC9i6EfWDvAMNmRdIa1nurdIM9bXJF/RIw7Myd+pQsBrJAgzmoLF4JZ4XJK84p3hvA4DqG1bAG640dMhaDCgPXfZdMlK2QFLTntqEvlH6SBiZdN/5gR5mkjBdEjCnKHB1osmlfpbJUXq//TpoVsxKtK1/6EZ2tTQiQUh30hHzUP8T4V3OJaHLI/al0F9JC/1bJfy2xnSHdGgq7FjT/k8h4Q0/HUDCKKuqeLlTYxUSf0eSLB2QCRBxz1C7X6BTxYvnbFTJZE0br1o6Ue5fEzERzGdnPaoo6tzEuQ/YjCJ/wXfsfDf/B17fRkn/p1fNlO+lyuD5bBJOJOyjZfMpM4xYqs+nfUUL/LW7m81qEFv9/rB1MJQLZNJYRxZUSWTj4O48qgoje6KcCuWw1o/aLGZ5OuH/XXDsMOueRsWZFBizCQ3mSaP/Toke6cM5d9D2fpHk/VDZDjWhr2BxHBhUE9sYk0QyORE6Vqf9hECrPidzbLCZKUv1gof4Kzps6AtBl2QVfYbPzQGtIGENX3KdU/N0ujEc5c1Paz0FqNdhMuBzwm+I7Fmq0toRTHGimVJ8jB68yo+/dSot6wLZSVeveg8LRe4UBi0RPiQGITecU+UK959tya+MgpzT69O4kY2NK0JawsR87yrMQqdmNbZhRkaZKY0vYjUfP+I+nMScvIiaa0Seq+b7XBbOiXVSF9QCS56KxVWRLNUZSvTqJjFa+UcLV/OBY/tOBSS91yRVUGxTFRKLz03aKTqO67gphVmHbn7wsHlfT56/cgn3GMvfvihsI9JomaI2Xr19JanBK1TWBGkKV+Z8l2CSnAFKs0FKK/Ncn1sL2Kc26QyY3GlZLLSLZRgVLOShk94K7jJkq7ow+JaM4t5tyFfTGQG6t9AQ2cH2wD0u5AL5lwsZxhjfmkjepDjospdLm4hcYUPwmCjbEqvb9Z9841epk/QZ/zxHHlsGILYxwzBmdNDOFrZb1XTKGy1Q+1Ns/OtsrpFEwuLKdha/xJ30yneVytgNeP+iBqPmahtDTknv0c167t8yVM064ELBuRfF7EV3K+NbD+g27dZcXffqSdQ82/JYJfAPXvbcTyGu4ZS6jhF9G7o5r3UwCjRG5+n21ql5VxEfrPJF8slRY3mZS+Uc1mLl1JxYkKt0vVvvzXW1eYi7u01BA+BwqCmyUPsi8baqdwec/s7eO8NcS9CvrlDDn0Lh1MynxWhBn1nj9z+LPEdmWdY8++hirbCIaioMPThXuIiZaVYoTbmMCDNWp6yngVz0e4W1pYR6T65VD8VNc9QyvVpH3RKrMRpY2ZmWCfaBeTJrCotXi7tSIgsqo+YPakeyHvvGAh1s9aJw008yN+x6gzwSWkI4Lu6ooSG1yRC/JFhZgozLjYYcrH6BCKHWAHphCkCiTOXujE1xWnkbKyxZ1Ygw9/4vv0jlxyT0ifixXiv4u+G9Rr3WF4cxNvhd4gj59ATmLTO3+yLkHjLRUIFysXq/63FEwrAdFSBWzXVqi7CGk1dtORWYFOl8arN+/9LfToz2E1gQK79v8Nxmb1Lme6CFU+9D29OCxALA06SBXOSq//jM690LRI1LsBoy+MLNe93qo2tvq3t1XjIbkl0ol//DorLxuNf/b6wghAsqW1YiiGbdzlFESlwIIgNPdTV5XVrzXsrvGZGJy/KoWDT4i4u0ZYhIDDDlqaCxoaA47sUt08chCJoJ43/JjEej0TI4vhVsKQ+cEnCE36tfliM7W98CuRSGxkDL5C9k2du+GNvqu+/4YtlUOpJdg6oBOg3AsY5gWgXZlnq0XFuZKPzLYRXoamAB30B2SpJj/FAA3qchs4oPqUP1bMn1w9Hxg+LaM9xImLLmOoQsbdhF6XiLCvAh95Kee8GPa8cJrqANhXKbRD1nVx/myBgZP7MXKNRGBoKxfHmDkpy3neZHhCSjVzSIR4R0/j7ykFRjsY8xm9NyoPlVRNBzX5+xNFjgE777S0CoWCqIGB1cw9pLO5RmPW1K9FHL6gwiY+mOhSVdIVP/z8zcvBPmi7s0Gu5LG9jx3oqC47rwx6WcG0Jw6lpu42VFPE4ftNnGdTHmfUfPuLmdhiJKZsqWip9gDNNFpwZTKgJnDhjugw+j388KiPRTGKKFhIFdYHLsCf+CVrAU2octatxQOhz96kVTWbfzt75xLf1HGTeeD/k9tW5b2jFKyflvMJPg5yawQlMxdFXecddefmjm3rCv+hVhSvH2R6xMpmL54rvv9U8/ptttQtpzevCbMvG5X1IOPPvotWUgRFYJ1ky8C67eujAtxTtv/WI3v/AurEl3mJC1N0D+/fr6+bbjXxYfaU883qE7a7hwjEnSrIOi7Xm+oaFcsLgFTDtUv7K/sPjL4rRHwNXQeSBqwRAnyBgEm9vcG0pHCfqgjF5QeG3+Hnq8o7HEm3cAb9dHwyLWlTXqIBq+NaJIKLd2lx8j1tgKGjzZheE0HPEfPj1dLyBLr+gyRd4YPO+2m9gTjQNYDMTsu0W+PZFb9p/O5kOQgXfYehW/HIE9H4PnyepCETcPFdZWPaQZFQJ6qiUVEnBpaJJA3waZfyCKRboCQJ1byt3DvGLWkaodjGthAdjulQRPG+VMkOXz6/Qe2qYe7g0zygpGvbPesy7324DKI5yh+wctPXy+UKNAsAInzFTy045m6MfPKpxkrKw+FFY9sjHvDvFLAVjKWM+5WY2VaWdAYswxcYCUoV5oMYUWCryenh1yvJPY8CChW7IXT4DAx9HeVh3QJTY9anLJHMAC0s+BTSB0XIFFIV+GF2ELKvzByzW2vfmyOFfcs8IIF3AldUsuT6AEUkjeMGRdTFxxRjQy0BAeaXcZaCOZRBQlOIwgRar2D16kCVrUNZ6TXQmJwlTFUHWk1S1eWIOvkZAoETBiOFrMbWClVR6ms3F+FX4bPEdrWUHrnQ8k0Q5/C68GuZZmRkyEjE5FZm8+Wluv8dtMSMTzJO0I7+kPibjMybOI2n/kblXhp6+MvanvfGBPuaG6pP+K3k+aQft6FA4/Joizcq70BzE2S0hccngc4hyS9Mfe5JilMwGpal4csgoaXu+/7mtKx62O1XtveS0VE274bSKBaSl+u+sCckLlEMMieqfEUyEODNcfN8GqXk+fr8+xK649llmXo1uMHHsSDuyYYKpoQV9ssbRMAfx8jZCgzku/XdmveZ9OsyY6K/Wixn7koe3+rsoWdb1Z/7frD4i/7da3X/xzUOD//Ie9YKDlezOfT7GU2x5JYWRXbpD9cRgHN4ZuDOO+tRlE63wS20IEhU/Oti4gkhFFhar52oRZvykbHZ6yJziHzg1LZ8vLVaN8oBxI83aIhOWTRA+IKOJ6BPNfEG8hJDCLkcnIzKhzZq0KlkZBznZV93UaZJgYHUy4d0jnvFzSSE9TuJpeQZpMpzGBGwi4J2ZA58RSTgSNWcKaqNXKrP9IfVqMgdg50M+DVg4DlBqcTLlxRlALvfHRdkN6ccCVhZ/0tzN01xk//XMbHYOktzPncFuXopz48xoQNkscPCvZgBYAcMuTgg4hnqwMuorADgu7rtsAoDjqwNLz6JOVoD4XlLmIL8U4yY1ilCMd42DZD9J4qOh5I+7BAwigtQaj4Q25IJeiYdQA+eyinEMeehoHeOQtIB6WdDr1m1UNoQlxv5KCv4p21+w2ID/SfngJNPX/9aV4ikqmxoxjPqRcFuun8GUgI2vsmQiR7Ge0+oFJicCT00x/z1jWkujKm4ZLGZSQGxkAt+er6sT9P3kRgnxQql0bXh/UQua9YnDE5qBvCR13/uH3CLzfADQ87C/+hBadViMzUJflOuvX8rkO4Dsq09z8IEZWGtTI+zQTHDraMsTZcNnr58vgfFs9fTOhIE7n7LHvmGjrslY7cOHJ2twxuTqqI5Hh1keo0Qs0QuSOq0vNpc/+b2lPKfofVai2pwZQK8JudvsRvW2h0rikeefpnWv23ivb51oL/ljtDYBHSD5f9l/eaEi+vPHyk+ZmD8DNDt57/d++pzoJ9geAOYhW7nUBKT7dv9HC7I/o4sW7W8NLOYv3NeFo+wTlp/7GfuZDw5v/qa8+hq1cxlz+RvwTXeteNPRyM4wUPtju1476PXTb3Y4FCChxfxIoGVj0dihcW4nQHAlAD9rzMmBODXMbQc85nfN13sfbPItgnTn2AwK/yZzcenEHNRM2JHwXFOSQ4g49A8SAD4HRi5vrXJ1jw5WvU67Mi36z+F3/ktuald+inm5HxeX0AOcD9G8o/3VvPjpFlBHld66xAC3uL34GB91tJygK/PmwTIqzbD1nJeun+xs/LreFqE+ExVYJdg/UBVI2J/jf1K9aMXlF9sYTmBirTGzfbMZVFQZhAxIA39JmPFGAtFLAscDtLePvYyGQ3P1cpmqy8WCqAqzDRTMseqV1F/COWRQ0y4c/a4yjnC1I/64IXfF8Sf7ONCPzJrddfDZR5WAterHrzl49zLi3/yIK2GkDslpF33vsKrLmbZNuPB2nqMWx6o5nIR7cWTFlX5v7+pmcz9p23Fxpb95fRPgAiv/qZVeuDYyzmZSoPMdzjoDK1ehVc55bzMLsbot9eHje8kPCzdoYcxtyjnk1DXS6z0a0umDmud56OTRvOrasbxk9Fie8Mfdgs2Onr6XHQWFWz29PZs9QCvZV/V/pnv8CsL3RiooRRpMWuaDw5oud9kFjho8M7AW3d28b3G3pVWp+wbtxFW3jHeN04uMFEfJncQgmOiyYYsmTWmvprQrw2D8KAZ8MosYRcS/r8W2QPn131I7jzLC8qgqfToLAJUPe0V/5hNhDsmaGUStdt1ubuag+iZFbZYwqh+XbOXFiFEsJOU512tiGAFKqCEMOY8LPqzBoe6WriDAG8RZa+J/N2KaEAl6NAOTaSeftidwnl5JTaCrBTZY+36f9GXFNawdpFmaUbM50FP1hznmaDFoHu959Edrfw6Xc9XzwEchd30D/Yj+vynD1zDPu62eTCDcHi7IRh2ouGZ7eSz4z5GY+K+8EiogEFqx+vcfEQHlVH39YVkYq4xW07INODJSuQhxqScz4lJTRNfdjwzWcAWQCJB+EjNYa1QouEj9/RL+QfuA/8w4Jai9mZ7HFCTbTPNuNT9pTuhIbkYO5q419vSV5hb2pY6VA/vAa8VjY+b/G2RnChxfvy1xDL60/H/KjeAn2dKLlKPtIaftGgmWH3rFXJ2+47bqyosQ1TfMAdtPyjuTWQhIbbj7/6XRu+DhkYWAsx15/gBY8YxffbBrjdzUIiiIYlFTtf7HT8T7DTSsfEFki6B2E0gESAPIYPO/C/8aKmhPgESAlI5cZ76GWhvHA/u8ZTZvaW/FoL5Ict6upcL6o8jawVEctbqF9MTdvtFjSJ9VBNndwo+eqk7am0rn8IvLV5CvYGd4CQAr+PHA8YZNfnpgEyioTxmQJyOlmbMgY5HMflXSpR/e7SDJKMH6e0iub0o41YWSHBlPAsob5z/mwioCJ61nDH6+uShAla88ZaMdRs2LM7HmACi91t5r/mkl/gKl1RIHSstChySPbgKAl/LFBHREmhEBTT/PqPrlKpevxp0jLz0xMicrR+TyW8rmdrvtvdbvWysn7E4wIbuyPki90oAXJsHb2Ue02PT4Ib+i+EFv2qjmQTZZBAfkqSE1XgDDl2xS+yKSg8PGFEqy0lR+CjMc2NFw48qM0/3LX7Xh/1sScpO+RjYonUgJ0Kc4kXWYxIMM3NrdYQdWcz1JO9qgf0fe87DzerYAOw5N9tfZU4OanGjKWPQW7mSpIhsDSYq7b0K3hDql7miGkKJT3Ap+zhAX2TDWQwEPPX0luiwxnC1WtZ3aqKtwKo6CcKFX3W49Fc/D2wv9MdvxKZGZXux4HmVvsf/lmBCzOJarMVv04MfGISM9t04bU4JKi+eJMnSKeOtTkl98RXnJMPTOEjg6Qe+dU6vbxgMyrahPWrj2EwBsDYAiI2V9fXHw7sPct78VeO/sDVG9SN9UkdbfRYIEtJZPTYS3TqRbiLg0IqRYAnb4CCSSK4/nConApn/NZrc2yvOZVAw5ymWrxlUKVP/+B5pb7i/cn6SYFw5fd3A5dT21FsTZl1y+sPJOshKEF5/INSh5HpaDUhQX93ZtAumnjjdZ80FuBpkBEmIf4E2vlO6AIIWbaLH1JBRItS8BgnS08jXAm16rgOJGT46RMl3ZwWXDlQbonSg6FIgOkyb7z+EAW23UyL3LLShfqk/p9T9UIRngHFKRm8x2Sq2vw18LNrBPfJ0a8OqVkTHi98cQjFZFw8x+RqXYYw0y4vykaXhkgZ9nVAWp2Rc8DqnOB8YxjiABsILUi/M8H6SiT9+tbDX92kBHrdIcVjH25fDYlxEVhgcVDuVuGx6RGjbhUuEMD2BAfsLyqRawcRnaWKYodi7kxe2PZSldeZyiOqH9/271n17TIlR0Gm96v70E8Jo74oJQi5nEY6keLcYFgdSi4qut1tJSqbTAQyAhxj+ezcgGoV4HxSeEcJuNzUHrLr8+bEW1J3hIDeIzf4f7ryBaKQ5rBfdmakP4w/MTINH30pSN3PLIEZ2rSI51SJFHla0W775A7vXB+oBibF/T8wI/rmD6jrrx9j1NQsY9dVqDBU19QajJPI+SaEu4uOSAazvvYMzF0rn2Rxsq2/ML2Sc3ykfPZudHP5YblEfw2EkHQ0RJB/3Y5RGAfC5PjjIf1hq+vw/ZZetYGldQHIJtH3nV5qVjjYDsJxGRRE0iSos6TJIW2e1oxQ6D5zhlpcsdd0gxnxspXh9F/X/i5UVDI7n5iJh9/ShKAqTRy50MHzKnfW9/+A+6kxo0H1zd17C10ofssrOVRxZyglH1HbvtXse0ZRohSguYW+4Ls0bNKdYvva1fKdmk5IQPhlQlJa9G9UJkrtWLphTqL2aLmW9mZo4tJt/OxsZCQXFM13vEKeRZLcb5QNXVDco89vZqRVb9XVUH8bdSkI2dJVvSNc7zgnBF61WFKaZfc7Uoz37U8W+SlMSq0pdHDCtRyhs+D06FcZ3mgeSmEKv7FKw0hGZDCIgwC+5ZFC/j/dqNSxAMTdjlnjD6o3Ok99cAZBHLXHE0sVaNZU/ZFWUd6U98f1sQYbOpRUDHuTcfUXPWMth60s9WD5LCUNT3bdj2BWkuApkwEQ8vKUKSbZpYCgkrx2DHAAZ3yZLnI/Q++0eRw4bmTB9K/wPPZNzQq9ZgE57F1p6yXSbgubot1c4sVBvImrdEWk/iGCdxmayfLKO32hCYuwgRtiaWrTdUlgKRqkir9+5d2HJ3nnqFfZ/iAaUD2aDJKUb41Qi812YQ/oNez84cZXck8kLO8uHC8pDReVvQwNiyHS9RFlsVb68JXYDBwfj+su15201S4SppPeV4tlAgbWmxKYWO6GCFbVQJqyysrN6ygmC9wc4apa5HhMtsBtRtI4LRhY6x+rY0QImQAL4XCfC9ALzNbvokw0hVf1f97CCQFfXRNAjbThGiBxqjb5OPUogSRbT1KiNzKaIy1EYdw+MghADTRCOaBpWLi4gxyHOjyoOCtO9krkdUU49qSmuRZ0VLgwJ1LLJk2bL6VZRMtD1zgE+GcZcBHkBeW0d7uA7JxXKL+pL8zZrCNw9kc7DqBHYfz9bRD4Scmuc4ULm8OFCchzRWY1GcUydjszXHgDyF9LGEeuO71DldBFfpdlaWtHQJr2Jt55ya/JctVFUWEhxRpdl81xeP24sz3cVJydxFyU4j71KnkUKKLagvBQq51j5375obeWTHqAuwVRoNEMRzy39gKY3MJbbBC1sZkBWWZ0b3hkbsdAIp3x+nZbtQGlOTfPe3YwLbMlwoHXmuupJiV11Orgu1Ixvrd6A+2as53YXanPVAM1b5lrlqaZ1Qs7RdVfpiu4bwYh2c/TsJRbqJiFXGqrd5HOZn8+Lj3FS08oSY3bfUBCVBNdZ/nMGR0o2frEO1EiDdtIPS5JVp1p04U8OTCP5wfeguVHR2OZYoUk9rMuYO2hkrcOLPfguSrWDJJDo7yrcy36q9KFRY14NIaPBtynvb2NJ60Mcxlib67Q9FlpujHDpusR2ZGGSzC47mF8X6lld7R8orsGixSp0GosMkJFHLfZOIIoJs4FSHK/TOtRhBjNLzzjRX6Ggll2T5ytsRLL/gKRA+LjpZL3thol7OX/b7cWcPW5s9/+gYbZbzqyn/V+rt67+AyeqZ3Z+dWn3bldaO55fI/bfeM7jiBJ2V4l31Adg6a5DJ2b3lO+okz8ft9DNM3SXyUtgSTF2yMtNpY6Qb6AMwbk2cEpyK6iSLMiuVGDlKe+3McLZOL7mlP6nZCgoAbE5ZrlNeUl7Gut05dAS82yq5GZSCw8YQ+3+c+Wqz4jWiVxby+93gzUz3q8KOSRlIRZb7KefGk752yoFptJkgGkSHVXxjuYDWe4p82obUzLUnVhxuT9Qebov7HukmHHUTIRF5olEXIeC706rhv6ou1ai431RXvy4j3FWAH/4eqxiJYKokYnJ21HUvV/qvcweXvgYYVEYWhwL2thmV7y7ERXeGA4QaMHrF4m1ZLErKSMmFQHEU8nq4xFQymIrSzLdDBu+wjU2Fsf8ZVh6JOYxKysjPuwaXbkTlUUkEDg7Er+3B+88nwXM5ai3p+sAuU/HurAMSpZ2zubm8bDN/a5sNXrmVAljrJB+A70ECfMIZwCegikw2VoRxiQm1tsd+zgPf4ljXGCiBQ+WVDd29+QXEVarbAw85pHCZrknWmclIJYZMeg+SwYXpE+YPTQq3BZtDAN1cEsvxJyBCNZjRtjqE+lAdoaKtJtYfzRKXyVniUe+SYjlLCt51G5TvKpNwBsv5i9tKYDUVCflPfazhlmEPVkpIwaRhnwGmYusBKZ84kMrWhmVdWu9GqD4WDdgfv6/dSD1WmLLJwPARiBXdaFfDc/HmXVI0Yem+49sLcaNxTQ/fEGQWKjXizt5BYTJLxq5QlFLodStf2Bf4rUuiTxPSUt46We1SzCflO9ZpIvMCmT5VZDT9zG/m71fIVNlmNwFSs8Pa3imG3sMN65McuULK/unujNn5q0/nDR5YqFisKGL9rrnu1sNH3mxabEUTitABGI/S/xmlDpxic7pcgAxhhGBD3KxcnoI3m/kDDRFP5LZOVrVuPLykb3P2BjDQSD4TkSVgZKNmkx2OiAdMychOS4hLsD1Ct3NJq2AOunCmfO3JSMdXeuiaj0i8NdvzX4AOVlIQL6mEcv/g1D58g34Ba/7YXey4TfG1NtN3Ct9ongQqQOwVeBHy/M0pesLDHbwSwsJgw9vTXeVO8wt5ep5CaaeVUc68eKXYn9IQ04g8RDwxQutpKHGHHdbenKJpooI9ORx04Mx5xWrq8F6HjgyDtJiNJNM4k0RIRURRXqN53iUSJuWdO7oiUjN+x9qRh4tld7u4aqmx7u721BNoQnp0e1ibPq73HYnUbeqFYbY3dyGvY6RvKRj2T3fpGpTBWYX4NuDpWnQZ7tptPhUG0GfQJPEP868wlA0iJTLNIlzFnUWh/JaRR9FU1KME/4QoO0uwZdaZjTV1S9ADPANfZu5tSCqyhjdWl5A0djW6RF0Ocwp5k//48XY4ssmg1tENKk5mZ6CXPkrbbf8I0po7nlOLh79J5C2OcU7/Mq+yzBdGun3XCiShhJpzUtV6JniFfepaCY7wTScb9Y2EzkKG9TjM+JFV7XKfwhHtwxwSj2Sx/fsDzNUJwbgyM1VAdlqwfExBkQ1RBqrMseDZWymiE9GSKYkrV6cJsYppH78e3sXN5geRfQ+5BpMhAUpZjpVdbJ6tIKFoKzMYDt8uzaSk6mOwoxKFWyttx9oyECV7U9L925UP6ZFXHoEU69KlgXM4u4mGU6vjHtSKAYCiuD4kyIf30NNls2UoivNcRnaElMh5RfQ/Oghlh+JD3e44MMXmBXIh0h/lznruaLX+UzGJZLLV6AsEOiq2DbnBVzMCJICEYE78FZgJAnY1i5ejSbF5Gk6WN0qqxGu63Y+EMKLFgYfFZnk1VrvMvITRadhAvGVE9pPdWXPyanKgbCxMVJsoW1bhS47K4FYbm9UxJmDp1fv2pKZ4T5lBYubHcH/FYSoFzcZD65nqEP7w7MRvG5cmbwlWLyPKT5iGh7K3KG3budH2Oe7LaSugX1eJDMTiMe6JIqDBjass9LFre77Ot1PpKCIlINq8jQ6HMgh+DQcLptLdXCKv4OALPZ/yJ5YOlwzauaQUJStsHx8gTfSfh8a0RzpSYvdCFw0myRILEOoeeoYWjPYHLIaAiAsz//ImLAJOH6guBo7Gnwr5MGn2l764zYL/aL0GR0GjUedZ5x6aYU04PZ3e4psXMhv8MFswwl+4vSBhK6uzJG7BU1geAxkY+L683v+91Kg8himKPwKk9ikFzKMUczW5ExxRSCHe5DUhEoK31Uu8NQVB4IqtVhG94C+ns9T2FAenQ5ommHWEEaJkin+4S+8LA4eeFzPXNdrVxqU0VVJ2d413AU4N/YouHFuAh+cJCtuPchAM8WJlUJ4Qm8mUc1s+HQbWbmS+6OCvc6P11fOoj5qrekU1OcTu+pnjw3JAWo9ubu9Qlm650IuOa1HsnBd4CpRUCB3369/AkslBfuROc/zlWgjH7sEHziekfcNjN4rIKnBeFwlSkkjrEY+TiYJE+oC6AY/hKKtqLPGZAdkazo3jNqniu5/6Bwhd4H4cHtucShOgNIUJYCikCL4JutUHuf+PuFdqCGk0fiVCGolALCQJS8yLRvC0X/3piF29upNyxOn5u4Kjw3wWPb9A7XRe+EweC+n8bPlA+d3SVZKKCYt4pyZG5zGuT9B545rHdF4Isdd4E5hpWmv1C+MpSGEmit7G0HHLhvOiJtnYQjcJHa0uWTllwfCUE0ESl3xqWwos472DGC6gBb1L6X8yt8WMVEgxsWKxopTtu1bZh/e2tzEpvSTUdMlsCZriPIf+M8nV0S5VhEXhsqRZqxzXsJ5PmBGJeUOK1XuRb2b9RJT8deEuL5jXBHIiG9Y2st6C0z+RJF2EhdS6wTglEgkTLCzdyiJoSbMNoQs8oCqASsK33uN567g+JbF+mbCAt/ReInhuKn9aF3nuuMAjdqXoav4YLywPPj8wnxge1Kjsvej5BaJY2mke11EA4nGUPNgCmc164HC1JAXqTwhYd/HVcUuH0scqYPDQ7OJdKqTRvOTl76skpCNzLMqnomadGrhoRHIuVc9wbynm2ooF1j6FQaIP7hUhH9pFcGOrJHhu1J6tmDkwXeQHSAAJK8j5MqtlkC09AxgiWfBcN/qTaVxay18V8/QHjTgvIoqB49jTmoxlO7QRuKGDvAQdsDAfelQAH9ttnXbqdUR/hWDSdzDHshbypMMTs/QKFufP8IbbZGjMciqcnZEvgEPUqR3umdSGEcMCDQICj6YvgV8A2S9jD7PfBtvrM6WwwWokyLgYbQJlUcQG0956ltwH6QveA9HE6sOo/1SRlOW38OJ4rNPKwr9+e57kpBpJNloEnNz4R4DQKRGzjBINGi/C8gcGQCTP+ouVfdBFZCUq0joNExauHxtlnjTXNKELwIviqaTpEQJ68nlLZCWL27d8FWZZLCwEs5mdpiWuV5vOc2mO5TEEeQkiSHaoLmjr2NSvyspsFQD+GYpqyHpSnBtDkN+K11KsRZBhRrNm0pmOQQQUS7vMuvb7DyhIS9ddEAl5wzf1BJfMN+iVAtFAIp64m0BI4jxyHtBiWKpuls9r/ceCHILMxoyYz3RqAORz6OJQQ4Qv2uqSUEP+NBKI+mhygzzaIbpKCDBfgGP4TX+STmJPcoxZR9Bfr0/fIu/vUlY6YcZwg3tagR6cBGgP0Qt3c47usMQC/bvU9Y0NfRC/DuCvscwqdskL126uvUesowOKiWIDS5ZvzgpdMO0T5Bd3Gt8kfde6Zm0D2ZQPMwuLkjsyi8WA6R0PwmyANYdfcbLfpuBNt+p1cjAfnlg8gbfjzk451PmCt/cxLBBZcg7uj9hP0W9O37BLVEwwMd8Vv3P+W+nZetx3+I6XrxrpnO5ETla5vH7R/CD60lwTeYqV5ifroWnB9T4/7rAjmCV//EnKlnQTgXrYpfwwXU+ToD/AZmE+hO1GnPYDjE6tXtVxWv7J9XtmJup9N4Cl3Y/tSS3xHgEzlkpHsIzdsEwJkV24FuJNph5MDpiGGeVyYvMv6YPZBLN0I+Lg1DGdVpLOH0GQJVlgrUO/e9VjlrJ+10r7ZVudkmNRP6SqXF3rZhHCRcUS0EkKGXCKWHjACLfkzyRr6b5oYDe70w9kqEX63bPeBOvQsnd/5tR+xMr4r5imrBQRNY8JDIfYAJItL+nugMCw3ss2Rbnd2FbYd1xZ/6CFfF1VLFKRBgloG3ifsZJkvnigBJ7dGGd14rRm41d6B2JOVheLDDOTLkdMVRYtJHO8xHMNBdz5UruIMMKfFByFwd2gijbcCaI1JzVk5DF8par3ED0dUqk/QeGaT9dxIYEEC8T1Szh1bi3flUNsDWlzJswFLXEIr5c5vZ7EjJMCpqvbgNuFgIOREPyzT74u6RTBHHu3aSMCquCo/DTdwE78SqoD2qsSc7bJgJnt3Qd5RE9Mg5p4ag49vr1ea4+b4yfSLQE7/M75b9wZxMLEV06yrGeIfuFB9cPRUtGAbNh+SyqnwrfN0Oyd4Wi1qCX9dENjU3/u+Vusyr5Fd3fZaz0zlVnGKXseJNFMVGSp8egc82auE5MSN449Snmew0uOSicxD2dCODbTwqRIcXHQMJUbrWEvpbiQj6TlPuK5256Ngzu9BQlur0td7BcdtXlkS0tYy1o9AzdWRy4gn0KhZnmvRL4jF/Q2/fbQv0ZVR55s0/iz77YFaoJuD5q0TyXBd4LeDVEVa76+JvN8LyxtVZAxgT3dqFBJtvlQDmw638dArMyqUoxs+Tv+Y3KI8SSPge/htqslolJl/LCltzkY0x0faqGAg+LTyijYpwWC2TdHLV8w1P+J42aqw6p0iMjKoa5/UiA67AtJMZRVAprP5teDhAUO2jsAATnmAqb8yBQyXBECBUKbHEDrFOwMnlKuDOLXbP10MG3WWT8yZuCbp3eG4VucjSBH1igLnXGUgBysVGBK6DPYey6AGTFrXwXnlCTONiJUJoprXu9p5+Jcru9GrUBjximid3+qmXtHOysUaaJSzZjbdLhUZVjdK4/D3GvM6/e/Hbq5oNTn35hnfQ8sbBQjDIiBPmF3HesV+x0D7q3hsRk4m3hmd+IybgOw+VMKnp7W94Onp4yWxGXJtLVIpNsh1vWRt1U3tgy0FtWMKK+mAcB2R4vUBnyaVazZ//LLboDqHqeiinQDDxA49amKpg5FahTy56xZ38E2tK42U+b4+mWFY8zVjf+RFLuePJY8RtE18kpQlvUP+XwTUyZX4++ukA+Kzz2W+caBajLpQHl0JClOkTaTRvE/d6fPxlkg4c+egYgtqO2x+r5CGEBPu7VgR/lM2LMhCfNhTznGdDjMhIlgg+OxFs/7gdm2ALBtsY63kXEu7p1FGl/QviTGmasDkbBgJQHuLkiCZQcV2/NM4U/AWBCsQ9UmvM6tsKccu1HcIgXxY37sEd15TinhYsS49jKsdr0fDtLvy8pl709Xt/fwQ4+CDR4IrTuls09+DWT1KdT2hujFOSU9/eWXxmbJSyLddO0UExuTQODw6ZlMpJGrNiLLk3nPrDMRmxRXKkWj9LXVBpQYt02RiLM5/HoplympYuHun36XK+A5Vfz2XUuJNh8Ld1ejbW3ACd9N9kkZEZcbI7pVc+FJr0E6r6J/U1UfHNPt/dIkamcn6isaR9NGwyRwyR/3mq1EUVjTkxbQAuWE9GJlGBVcNUiNaui2oHqTpYTt2b31qBaG0Nq58VWDgssGTDKfRuxGvHzxyGTXXD8bq55OI6bj04kTaZUXU0KTNFWnEyuT+EnSuwlwBPqOZ1NiCi/UsFbY3DffnF04nD/ZETNd1pSZntL3uAiqCeSiINqN6EaOZaFPm5glp/ijcUrhYV9/B6MwEW7msc8pVdry8V/Va78KkvLzsJ2fgWikhauQ3yAC1sm5HqrJdtq1JWWMj4I9267T47P5qgywPFIGeqPW6aojj7NJAkCAxR4ng2mJMyCnCrZVA37kDrN64WOCxpFNCi2hzmm7Wjnz4jB3mUGllr9DsCU4YPlRG2qRc/uCVxxPlH/mtRaT/R3d2OD6UtdJ4AqtX6B4hn+2QKF0kMCzmOT6fKbur0cxeWuq+M+nlGLSd2/F6WEmY4eit+9EGd9RgpL7uDYwf3+qYGd7fLxXsyEv+PWgHBkC+IZvQ0qpQOj1GZ74SMMQktkmwOxekr2qPQnmikoYGua2z1aApzE+3j8EXIM3mceGwALVbh6ZkHDqVnQjS4ybjmYEtLoK4sd8ZUBtv9V8JiTdiNmOhO8qxeB3liFgqkCtRQ630JEbGjghN1fMOmQHAruS4Jz4/ylTotaifDsKFlyGwwcrkdCKbZXmJFPwPvSvA9WOtsfic+SD06fCxqZWFLnO5peg7KsRii7JY9ly31pQ/HFDc6bC8eXrMsfIq6B6jCcwsJsOiuHAA5JlZx/uW+KaEL/H+Zv9rgnnl5OjrhPzKm0/9BbYhC7CPJAoyXn7VoL1h55CSGithL9GAAem/Cekjm/WJObMNXo+3pGFAMBKmrlwwMz4Ojn2l23yjegdaFiQFEmBV6FMhwSBzPBo3P+ka4K+ZhS3rCBTbH3wX3CDjbTe6qTo5f9N70vHrugxbuMGag38ZhXq9rIG22zKlA/17M28GNjMu60JZRfGjflevnwERm1HcOwnnhgtRZFsdMtFGS0iRAo3XlPtJKDX2eiUJNnN2T5MXqtzrxEYtU3DAl4AFhAZkEYtSjSiXWarat7LjizbIN7AlRdLFhn+qC6A8WG4CwLVryO06jR+c/QIeXTE9E1bgGWbXv/Df078Rv4+7vEPIEPD/2ZTJ5HRb4Uy6hGFXJ1343bQyi/jj3L9VNEcF0pUsssg0mH3//2tA9u1GW1Vt/NchLW+fHnflBkYtWmbJBbTkQ60ucwGPKMKlKSM4kUDxiBwiaP4VVfiy94a+gmD8tQ/1X9BVqtViFliSrucyfUhDvS0pfbF7I139E8Ev1V7ZiETJlQyKScgi60Qm9YRy8ppSPo00iG8sBDJddq3/BOtpfZv/k/ADN3TJn9OmSO9eJG7B56DVBcebUMXyKGvN1q1JQx59HFVir7ib3ybDRuBte2BFqc40/gVtX/xIiGNl3CSNjtp0vPGXRi7Jw04u0dd2DGT0GpkNfwiNA9r+6gOb/ekBzNqLKFplkp6D4/XNw8O1HqODzfWD4/7gOous3CLu3DQDylmGaIsGRuakLpnD0x7AmCH1xVxzU017Y7a6K5wYWNSl+xmJAqMRqFbypuQYQn2ktNT77UDwW58jIGa9Hu+zYRdH2SYf17X7NVGHfJva1qktrLBq+/r56xByrlnl+ClpqYS2mGfmvEny1Q0ePe9F0ts0cErtm++8M+husGniwlA0BD1rHg3CiI9U5BevLJB84ImxNS8e2GtLHkwm0ep9Tr0d7HvI+NNnkITdKs8RFo2juo9OG3TvviZvhp7NBuA5C1AG/GWa66WLxrTuqBc+Z7Zszev5s5qK559fL03/BHocxdCBXQlkXu2WnuKLbUH1e1a7jp/mYKgMhDFq2mOq97aMS665RPh5LvOxNbCt+2DLbsihi4Ixjb27bZFa0OXYUu7kLs6YB3pvrf/PtO2tXLDcYsbYwDwfEIkJf6NNMZnpZJA5xSaPMPNl31/F4XakC7Kk9nJZcS16900IaamL1Y2ijJGCiDSavFF6tnHHlkUz0OpJaK7ALv7Abli8j5VZJKGJaS0gZGsutLzOU7YZrvXi/bRmhWDKV7rZbj3tWtTVFe6Ddiq9d/8n9+HzN0a9Sj4SWkeNr8LuasT1pkuR5lbU6o0h6xfbyo8vNsWDTjulpNK1RUrO5xmHgwueSj4+61xlpNIZPSaFJc7S5YlOHAyXZt+r3FlFbkKroQ/Zd+tzS2MHwooih/xZY3qLnBKlzS7hKQb0duQ8KASFDpIlp1eHlBpTlwFlN+/iL9IkdIccY6XA86VFdcRjG8Wp1iKNzbjYw3JGUGdf4Gok+e+9mSDy1d7neMvrc57lzYF4wcptl9khN++lhYWRG+HTWNzihzeGKdB19t2MwIj0MNeaFOa5fO2LMu1Jnwv9OExaDPeas3V6kVzWuHNH6+PzM9rEYl+L8YXNmlmLmlmFjYBmx251M8XKcJh9CWyvBGHktI657LI/kJnSAMY64TJuKpUbkHBqpmKN2dnw7dJt34UMwKyz7XxQzb1+XDUFvAFGRzwAqyQRpHnUdHaX9ZlIltIYCypPHh4ox4WwIkWRZuDDnG89qOfLxEn8ZMvLiaahY2vfy6rJqZNp+PTp2fTKr9NzaYShsDeM4yMCH1je1gbDQa6PJEASrq04+GGbny68bu56KWttNqrUrVR/WiQ45H9nhJ0vy9b6rieNjjuZ9Pifk02FFhs33jdkjHjZ8BPLc/BSsv04/iHad7b2cXWuZUj/Tz7m9E07ikHGvjXOyJaD8+awhLAZvC9fFqfE7p1sBry0hkD/Tx4CGxFvAdwFbfjtaOX7cSS4sbjVURMbhwCKqOlpa8SvkbGbIXfGk4AZbfitQdOMPtSdVcni1Q09aItwVo7Wjy/Dykiv0YzfIYn+inVBWe2cQmMJslHZX4BFFfXrIP9gG6hbLl3KYfS+AJx/LP8CYXTq+G/OzX+Denan6EojbH5nxO/2UHdqjyVqbl69/tPhB/wKpIdBENyHl/4JI3QdTEam1q+p2IHBIq/YMEqsphNMxTUQgF7YZ2OtVtaEiAz4lxFbBTczcHpaLC5y2BouHHgJ6OkaXofTMlVBufQcynwZBpzHm6/WiJHfo3YPSDyPYuEMnfyleyanBZ5Dr++I9wLH8EIiXhYQJ+JvlKWc69Xevqyxxi63xxcuu3qDX/lGJvQbubZKWzFmOvfOarHCIRjdmUNaByAd000Knw9KGnzqL/O+SZTnvvL/ZcozXyfyzftPSEMf39z250PiQUwRmWeV5GHwMoA21LNqw67KIUB+hklxTFy4SUc/nJfXi/8sppNWUjwv1tlRX4ELRqYzsH3DhbXvm0BA2eNj37+epyh31B09WRsJzQq54gfz94do6bQ5HgL0SVYKpenmD3ae6Fr8QbPhcZKR7GLnUh0qvaHm7jOXoznHamy/wemn1CABUhiYiSU2HrSVkxyUlJScpJIePgfuj9JuwVBO2oJn+4g2vEYMB8Nu6v9z5uBjk7FGP7bd7fvWzQeP87i5EBo4XRaM8V/TETmye3BtoqOkfz4w80xPHSXGNyXEvnodmEd9ksb+GXH7SJu+I3J+MIKvfE8yJWxcZcD+ml8Vcz6HJOG6/om08yRi5Aubt3k/bMO2QWly8AIhuzHk3IsvG+iBdtASwKPx9oQEWXi/7JsZLKUnRmk7tWrO3ezeE6t4dv+fj6ZvmEPv5KaljdQhZWwvR2Po8VPifPBwxkzjLxLCHJtH1rF/m8Ykhzm9uxci/XB6AMY8s+aqUPQ8FUtkIDq0TI2gnc+bOa7jrf4Es3nIINJV91N30htQgyfaw4lI4/2vAwkz9e7/RI7cmEyVjM91eTgvxV0kmaESRFXNZ4KLJLOOeJSULE/BY6ilCvJKUEoeDrNTYLgB21VeEiuf5j2IlU5Kzsoy4MTI1PNDjlsvXK97EVTfA3bIaj/7VIJKfMul/lV8aLX5URTD94bOH5dE3LqjmS3uqSmJsvfzxqaQKYnz8sCPPpbnnAn2MfD9TsyeFpYXkibeUCglh03i6rYFUKKJQGKv5bI75MGxTswrBulLUzRfAYmmujPzXYNkdMP8C+iOK4FOTvnYtVXnpHefJo3fjneUsjFIaG+HKxzuCxBMsAgJKKfrnaZ4ts4CoTa2X/iObWx95Q49PSrC9LRCWS6em6fboTjZop6M1ox6Frsplpe0/Tc6ghDGbG2uLoOgP9ejyrW7gwU7bnpRscnQdFFTEwMsL5BDQDYfusV6c3P9y5ZjrcUkAcVbwaGoRF94R5/tucEwAlyWvyI57Pm0k7tZcFHs2LD96Tq1GOht6ickrwfVteEDlinXuJ88QeCux6oUZJpvwPgx8FkRFjtl2Nqr+tVQtUALpOcUuE5+ev1bIWVUNHryLaxJ0Q2SnK+n1Y8b2VkJCJtx0QmQJ2VXi7Y09Eik6cQ+dlkN7w19cTR4fjwwVZ36OY/fCMsfP7nrC1N0Yp95vzDXbuP6zOTgWTrZpny/doiOESg6hVic3gcNnc7crdg8n1jnRzKGUSBPBdVUEieFWcNU16KK/PuTDlMfqvdnr52RzqqdkUqzCbo5MheYzq1ZQFnwLi2xTpoDCEqEBIFQVFe7coSizapZBODbl1IW+xqL2SSUi14uSxqBVUL0TFA5ydvSe+zTTZ/PUT8c/uPniEEgp75vtpBShO1Zzyac3nkZBmwI9lsc9iRvVpLhstg+l/2l63/2uKadif7uNG7ABi8VdzhguZ53M8RkikdmlzoaRkP/dquje8sNHL65dr1X8/I+H6L23GyNfV6anfmk/l0r0Ap7rj08z/p1mqXc4tjN/OrNk/gKIM9pWb6wamWez3Dh8Pt28AxqCKhP4VZ6Y97sO4Z9pDBywMOLQZ41gKydhKKxHVsBQVen5Z70M1jKbJCV/eLhOvoxdgeMlbCnt13926rEGm45bEoDh4MzxMBl5qIukXbmlXb5bdjKCd778F9dYljjtmeMbe4KQ/X3+b26b6WetjalL02p7T1JdQiMrkT7zlL6Fr/0OyS/BtfUrfcxn/g6hQ5B66OlS9dEO9k8p9dSwktO0uCxeqRCcgfrUKL25slYekJExK8SYGu6zTUevm6N4PJl3ggpQWj9i5ZfzmiKXncx27rvOksbSZtG62zrS1ocFo+G+lmWx0SwK4fevmq4KM6pNGeWKD1rJNEVzNjON/+5vULX3qMBM094VmtlfKS3Yf87L6XdTNa0djQejNNel51hKGUWFtcVQfqaEtxUHWpmVKqDnkmJl6bXzqroAp9ysL7QVF46XuJ6AWb2njZSX3Fb8b2HQycA/vyNsd/WH4FVvVSRkKCIQc14VxuPh5pfIuqgUUnS4EFibLcsi0KzeBuB8tidxpzn7NAB2mJOWWpHSLTHItkD8DDmycbLgn78HBE1pQt4G8Zj/BrlnKi0fmfj3XeJrZvuuWK6g4HuZilhPeGCmeaFfXm6qU5qULyVHQaw6X1jFCHLcIR8KENQJR9ZHaat7fgrty/pG2lgPhFZ1uhlEhiFOdatZnD8uETYqZWxaa2yfkb2cSM2Ft1omEGcFpJKTTlvzrloN8K8rrGEQmS4IYHjhRiOKFRLawqAcJb2PaBl7aF+PXO0uAM6BXESYOvWoqeY8nWe75B6Xh8DtI3xTvxnY1ubCbn4RvBFLMt3iVYfz+MgoWGxYO8rRaOtfUNs1YSnk4AtwH2HJKzCkpLaBQmj8+WlhAoASmJiaYGhV3fki8BQVYkP2puMkFh2aEtdzC7GuUgdh1H5PdOSyU7GkugCMQswsl0CU8DgrZbmzGNVDuNKQnnIlEMsG+8Jbt8HHFMFxQfJMuOvYyMqQrhqiVUiksO17Ug2NEYGhdrAotbAT/uREVJi2VSQKHBTRTScpM9jkAThPvr0ZRsr+IoI2mUEBT6CunaM0fT4YXYDGwZPM13XbcF0IGtcLQpMdqejscpNvItbsZyWuxQBTplQ0My8xBFG0stdz9sgOBe9sgNFIc17Gl87dpxQ+lfFoyvj6EJ03j+tiupz0TSrtiU054VnRzmjo3ieYsjpySdowryKjz6Kj2XAQ+AZ3eaa3vcb0dzEKiphd8fs8n/PkTgPnxrxHkdXPA0O9qNPDazvdbviTi6BFCnVCY3MfltpPR9hRDUA2UEnsGjUIxxuEU247k+XYH0R/tBO/RcpfOwFePsQCLD5j7Q65mMrnGZWtVTp69nSEysRJZ/izw73e9u6pmZLcK15Tkuc00kzmkTfFOCa5xuz+NH3kDHF1Z4DBbePrqnx8A+/IEW5HxGFS7a3+pfLFi4r9tD/ITl533Gfrb8ZgTgGOSSjYVjLhiyA7u9heHduSJAWwy/w2dmFIz79iQM6ng4X7zqjkkNSTenccKC+I+ExG1SEHn+IHhoqZwE4KELWKcb9yCjcWdtJLqEjeBdkDX+3y6aQ82k0s/YsxRVOtF8TRU1Mb+xTUkd4dBJaGVIdqhRAxmM3hzufW/ZHJA2bGl1xdiWC70qfpJ7DT9TllAYQUyknQs12lKtehx/vIGxinXDZfDh8Lg8NhskTfU5V/ERHhfZLupgpXorqrqqLn3ijLhcAK2jOgP20VZXvABVXemgnTvuQyn5RvWwx2pzrjlA+YTOj2t+LQxn6JJVW0WMTrAZZfd5rQ5cmm2b2uc1ZbO5xibPzKswSSLKwVeDhJeFu2v4NuG1z3WQ7faYuEu99nHNOxxe445tPMwJox4sJTq/fRj3PWSSRnkyCVTcpB5ueLcy8Pv9lAaqy0San1nAyuhSY3rsfl6cXNBf1VhtqueXDAhJEF+7LYiUA3rYz4U1wAwatOp7ffiy24vyWSuG4j6zp2UrKiON3D7+Ect/QVCm7ZZXN4pqM7hW3DTxxbLJ938cGb74eTpGfV1m+H/OhDIT6iWJcQiLVuFF1Y/GoWvbUO8HIvvHE6QHFfc+i2tobU1F1bRo7Zpl8yQDI5Ij06hB1h2qwFEFv4MlbzUcYWDEL2Ra8z+h0KZX1FswJZ2Fp8CzQzBBrAOOZxnVlzz7q2aBafdkpUEQyFDczhyQVzNxaXwBgQQFtVcrJKKP/igTxqYarx7Ip6MTvjxfdahvmhLV55LnCRT9vxUcFuQCSfrg/uLgbGWctNA/A0XOgqbl0Cq3QQHkHAvbifny19HCt+jmWx26HU0RU0sl6ps9QvbbHqg5g8WlaPju3Vv2Lp2YrtmHs5eCgnd/sJj0zlYtZXdbwPANOSHO09ZtQHpOxjXpLkXuIatnL06IiouL46+O2hcbWi1R8yx0z8lSa+iJO5JRdV38FDY0NVYoyhjhYm7VbudLw9zgPU02Sad3S/QVQ07APmKpVbtRKAwfi4v6wXw1NHaf2LIBdFcZIrnlQhntxv79+GQMVjMnhrdHp9tsHqcnhxznwA/bu/okMlyx3DM+gV3+n9HInzqA4GK5K+AXZ3NKMCJQDlzJ2p1NCZ3cg4QzRZTrKiEadrm1O9puNUm87cblLkufnZwSTOwRu8dlKYCf8UP3hooVRXLVb/z04h9LudDgxJzEFsRdxZt23tEEKyYkanUyA6SUWB3SGyPgozmZ8rDKxIJIJx5C7E3iLY1/KNWUX0Zp7QmO4EDXp4UlT9pCsjN0cqWnCyvetDSyEwxW3+jhhKCzoysvWnpCZ0EX1okPWrQNriZUIyZeol72mycAPQLhVAKKsGgWXR0zMYwaxslCAyZY/+TlavGTzY2qgrWXhML1dSB/FX0D0Vma2QAvOvyFVX8pOzObpEuVuaY/iyJUFoU5JMHRAn51AK8TJerfnz6t/TQAGcXx3dP47/XnbWIy5FKppeeZ0hPceVwUSzso5D3/T/sYSFhhxeOYBFWEHgvugbP3kqujrgqZa5IwhcHW/FIwBLEWVdq9CVP+VO/06sAHSGin6pFAV53+tGEYixjLco3JGs4UVLcJn2S9Ox07QYpaiNM7UU8FslzvECRxNpc+C4LDMph53OpabU7/ciff5GPIHX5asG48Wzo7Mxs9+0kLOwwZ1GbT4wZ82bH9XoUDOnMQyeeZv1F/IdtfsE5Hb+dRkGBpv4IUBVVur7ph8wVs9NfGp9K/nRc5H38sN7a6JXtwzrg+qeZ3kFYuMpm4s9aIuCchBtcK661KbE8KwkqMalYwpvGlHcA1dJ2paLytZWCMaXCspU3zzaIP4/0qfrXoM541MSqmfsRLj1D+NYgQq+A+y8qib1sT7MkqZ4jB+XzbDXoIm1VtCPNTiJz/l2ZjVFY+VB1Xbasgrv9/DVhmwlULfvSPYladcOWmy6o/gbpf44l5yRXQW0Zh0KZP/fqs1rl05crHEY6Ql0O6Zyo11gHcymbMk94TLlmbBcTJ8BS8xdLISPttyTZopl9epKQEKuJ/yPlhUGRuwqZhgwph19mu9F9nDz5x9dFEC9afD7z1S1m5yaH2FvjLLtFrHdPvJU6F5wRSOa8f7X9pvL/VXcjKisdFfwykijDve+O5v784qizDprUWJTbk5lyHSe33VlkWFelJYlEEWAwaPfBO43rs8LAV8Ocb1bN3OXrnRnFLzjmHQVIQAOj5xNaDbMwzg5O/k0AoRkTU6CNiEL3t+ZVWHR+6JRuK6CPEKycbkpW7zGyrFcsyiJJwmLwqypJcNm2VmPSAc3Dgr7UXn0hgilFYpphApvMA4hp2FzK5XjyIKlLiVsdKI8UggernwTeb1OcEU7dECa2vxj4w8A+tM0TEPuT+Ytz7XKke7d9+xz0pNEWxH4PBtWAiU5Il2e7tmvxIWn9UVWJflJ2rZX5mYgoNi8yi4ZIT578azM1uc8kUEpfc7ptLyuFRXDn/asy5PUmorhYTAMmXkB/A+n2ZmhX2PaD+aHu3cbNLuT4k4KHfDzuICpKMvAcTj8ZavkVffzkUN5I2w1Dgxzqlld2K5m7Y23MdAPjl03usVcW9jEd/HMOYgBeX38v0/gptczkYjf/tAwBIM4AjmvFbjq6uUMMHBGX55gikkfL+I5Dfb8ZN7BiczIAli7hgdDOixxYPiqtXLpCFNckRRkajN/Fdmyr6X4yFPYbzUndvNWy8kMIlpocZf+L1FCmpw4plh9fEOftAV7ZvfKKnSE0dkjI7dMbc6//jg2gg7WCQevI7P5VmsYD0lWGDVEe0XtMYdXVzE9LETNBOcC/vjTFkU0+MrY1HGhb93ugM9xpAbRv4FY7/lqRnZZYg0fvTgIzOwMeDl0iJtfxJYk1L8txL2AN2Pw6OrMEbz1nbzsGxfKzfz/riuUnulV1341uWBpa9AikAKZDH8X63D8yQEbVcnV+DVVC6tS9sevQkBrFBu2pl8W4e/+ND9z5DHRaCR8byt6dK+y+W1vo+lRmpozj8xHm4JGHWh6eOAM84AUFqYyfmA/x7nP+IASdEfhRiM4JVA2I2ImKsAiUxwaWgbNBPaaoEBLl1DTWLTXmCzROVRvtf2vQjFKChG/jf6yqBX1e4K678OF/xvDs/b7ynnDhz6BN73E84MtGrMpfrKu3xIlMUJcw8pfpMdsBP0gfyfl9iTmkpnVpezsK1eoJEH1OV6BFTHi0oWdcsLlz8qYhnlGtA831IQ4HB+ueaSz/q1pL0EPHhYm+FBKFuASWO0IZ8A9MXmsA0mfDh9Q9UywKxPvPJEMZ+GHL0zWVFor5k4BNRBOSk9BeE+R5a70TNre8Rqself0KoXzHwSR/5A2ztqmqokVAFMyqu0b4oUSNJV9FBnOtGzYYdXI+wWvuelPZqdV0FAJ/lPbUul5bSYXuQWWjrYYuVNoxHOqbNi8GmxQtB6axfef41+jLo5iFVKK8ojNqBmpVHMAAvnFTcfxCfPH2NYXQcX00aNQPgch8tqKB4rCCjtQfEvMyvKgFjSzOpu/3/bxqTeYneUP8gU1IQVJ7RS7I91wqqY5JvBpolYLZUibtEJj9YBz9jW1vnTYdo5ydnn0PV2VpDPLh/2rBeddK9etXQaUezb+HWrWOMHP04eG8ZmfCdANfLo9CIuImVKIk4Zplg466sc/u6jZ24zNLVrwOV8v5rw/OjtDBzRFvszN4CNe6eaJXfIjmvXg4bRHz0dLDRWaOGPGdfXuZOjNBruMtB5j9JnQKbbWCjRh+iIpD1GL88t+csZByNsIaxFVqhxUS+128HA9i6EqGsIv5+eWNbAdHnzmCdVCEokA2eAw+NIqFfj+lqvte8emD/oqk3mxeJpJgeEqD3nfMPqbupJrZfn/4vyQ/jGYSp0q+UE3//eXTk+69TsZrrSsNa+hh91NA4Rmpc8cBIfH1vW1pyayvI6qPxCXdCpuIF4HMF8pRtnW1tv9P6DgxyQjvxnYlEMRtCiEdkBrPUfqpZba2OGYT+X3mVZHUlr95GtD0vTGvuZvOELZa4LTyMZFsnB8L3XTDWeKKdKiu2jbN5QvnWEDCkA1BNpLawNuhxY3SkZ3yh7QF9dVp5ZvWtAZVHfBhaEq3zppu0Jd+ku807LE+75LoWRd7MCaU3QiHsdmXpf+2SGyhDsCLiqq2cbPeKznq5bIwPK9HVyv2Ae435wdvvA8twWifT1Dd8YFsj7xaRvo8js+tE6smQSzxIJouKrcaLjykH3wtmnllkeXCFUZcVw7iN3FXSaqX3GCfl0m7dHZYO2LydcVYGzmlrlq8sQCVmgDTnRB4ERWUcjWcbxcZFweH4ezW1lxFjFWOs2D9nyMBxEkSHXGELTHlu+bAQk/YUT1wHBI3pkjCQtJUsfPib0DXFywfm4J+VFq3aAbK+t1uDnUZtQmufYZxZyW7moETIjzRQ3Uaqj/0Gb+IyOpNpAFH0MLqZhGdQ9nKJGJMNd2KX4vasAmnMXxNPQzTmoon4p4F+qrEfO/0UlM9JKxGvRrCT+5tMuVhQQQXdyq0F9oby17hyqNxUA71SVUi0xiWPNA5HbrrMO0xjRodca9ueO/8UzmMYQvmYJubfFUOI3PfU4k7GpCLPPS0zIatFErMOSs4moMWsfiEMKpa7jinKKVTASyrffFc77C3Yc81A20rrYmv7LigJnVLrob+7w1VXbQUrVVT8J5qCiyXFO9ok5EbcwduTzT8binqHp1vZfEOKXlL557vaQcWmgXaE1sXWLrLQGysRyxbx+XV/prSbQ+IJGVCyqLAi3QKW9/7l2gLJPQXTqlS1tZ6NN9BSIBLqzjGjGehYhX+J4aunz0j5i5qm947+mYkZtLYwxgjUcY8e2t/TqxqXqwFY/tsv2OGvr0dT9S7FmmjkVlBGnRxIG2Nu719imHipxZcWTUKvlRiByQ2BeErBO3FfpBltYe1rEVnojRFLZAv4/F6WT3KzNlQ5+3OLuoextZub/7LTzzk6RAndEH5Quf1oLAOn2WUVZMMvqLj+5M2HzwznruM7r3wGW+xy+JmJcEpDQP6M3Q9u7A6kahi81AvsFfX4pF5Qltq0m050auhN/32DK8a9LlgGiusbiSIiQXRxcAoiR+UL5UgckPRFgpHXLeN7YTVJdoW6Q7HIR1fg4vIHPQ5/WL1tC5cNL1wJ3G4w5+t7yWWilWeBIIXcAa9+Z5qMJM7e6y8s4upQSagAAf+qAfge/yBvFRuytrJDahDIWENs/yQtRs80Au6B9j4/pmhlH7KZCrWsllR3iQxAbCMXTBEDDbOETaSDnV61UrVY+Ns2gN6yNgAiXgQuzjlMtg0yfAvMUWJSEDWsiy4NKYiPCqwTLkMe1G/yzmWqU7bu52jjnY0N/IX/q091TXVOSJ04vB8jaL7EZoasR3COgSbqqT6h4t/WoiiUUxTmq2zHVpzO+IBdyE7is80OaL+Rudt2xM5e7zZxfQWNK12xpMYLLKn8UrOWEAVRwweYfFFP7zmDIzpAycjEJYyzfIyBcKXtxUy5QSoL+NOAeoq6qETlbSXVQ5W9b90JjVGjmBvEh0l0d5oqxcxA6NV4eDps9Byv8IYb1MrFoT7qhXmN49Tmwz6ZRiZLm64ltYMXKbemOImifHGGppQtEW/hHWbS2TtKH3SYy5uRAU8bry+2PqsalHF6lkTrocS6piKornNp9vnMqy+jGHh7bRqmDI3FRG43drE4Tx3YjkbpSr43Mm/MhXUj9odAgWwk5cuoHcqR6sI6K7XhHu6tlNRHe5e/1bLPGK+7nI2OgSB5MB6ED6c32S7I3uFfrj/4k/MpfqFp2NzE/KQaF2aV0xnk52JJQV6YcdbTmuYOaspy4wo7YCbNHvdt6uvmUKFLMumG8i/HdM5UGnxcvewmA9k79SheFexN/bzKgn82UinW7mmMeZqQ0v2bV9Qqu2jwnifYgo3XArpK7BZhidIE3RWewPQmGMkMS4kc0BwxhxeEZp1a0loeIihMvtk8o4jTimJxabUMJtQiWk9Tkc+RRC3q3Y5vZHt2UPJGhJaFi9DK/+4n1+de7EyrU/MEk5XDmFUpNPJdTyesHaFuNqX5Amu9RSLerhbq4KWe1kZvUgwK4QyhN8rmwXl33VkJSUUujyqzSIXt3ZpR2C+xGxlowzcUuz6/ihnhPdnXL5NrmmwidpB0ddsYwx88V/T3P7k/bIR4CVpDDzOKIWjyvp8cTu13nEHneRnbfVMB01nctm9Za4vkrbOhJR0Cs35mHl8uVACbzVdRFSyj1VG9FVPwqHutTU4XlQHLrLmg44Yi2tw/KnFo+mb6cZGPZH8KTDdFGAwuRm8s1FvKc096OacRuOcdgVNne6dyaGCiQwWPHnZbb7vhQG+Z8MHHSqD3Ov3KfF8Caz8IdPyA8B/Rwmd2Y2jMOUW47X2B607sPYUYDQ67uttmLnfnLeTcPeMeDuIK7e+bY4IvmIMtolo1QtiguPUmxsq5yvoYQAVlknlMnk2ZtYcHLVlRn3inIPlgBEPwqL96PeWoA0ELpEHH43eb542R11GGjdgBRcCkgWOMydcMHZsauA/+bmFUUJ1ICaJHsovN1mXTQdoQA8TcWLo/DgAnK4LBmzEaDFEFU6D5A4FtWDv3/trnv6p/b50jZeJoVw9TxWCj/+XoClPfahQuT6H+tGJt/9GMtiL+Xk0NX3T9CyoRBN7ffs79L3bdR1jHbC/l24wPL394PhPhLYeTbe2+RBtofriJ6+jDYFmBK0jY49HN2aHl5cMH+ciCT+3UScrVyIQC/l8t+taFjC6TmeHp43n78uofOne/D6FW21vo/yPlPcqutGN+vhPFJGg7R7EERT3VXtZS8y6o+mP2xSWf7qljIh9zJRVnIKk9RYi2tlIoe9SOQjyT2VyZ0+hXTjnIkwju7SU/ygfwYUou2uk+6EcSfiM38Yhnw6a5s+0P/61TRjxfu/rnuJEfwxXHbrZXaaXw9jhOU2PQPyNkw9s8IqdMEsp36WC7r+u43U96MtgH2mle3Pi1tnWYcqarUzszp/+BC9tjSCGtDTw6Fqmjdp4+2MrK148oC+QeGv1cEfPPHtMH/fWbVfR/jRg7v1BiD16rjO4VkebMPissUNxCcJFvNtnkG3hFjM/wYGAMW4Ckv78OmbhFxj3tdD1HoBXb7V8XFHRG+uWelaYdfcKXXD1l0UjPbsUe5DNj2f4g1rn0nFaqDJbb/icsnG0V2Fe4T0g/v2SLper2BpnWKRysbZW03hBwazUPFYtkOSJ+8tBsj/3fhscB9sucQwM/brw5WHvPOvGuJnJmLzJo1GV+NlHu696cKqhZ6ABWX0H4D0f9jrP5fVJh+oXKuJtEYvY1UNb1/tInzGsGhaeSdQeSQhmh8T4hiZVHl7me3X7BSOQ0ds8i1Q20qc4yRJG/59fWwl1RXYIy0rZhwoWYivE4dbSjYeGlIvufGMQWhu30Sc550qtPiosTRfAvL7cNBXL8ft0UQ6RK06eYDivmKc+Bjv21FuMAg0dLXtiPuXksvXG/C904rzvSb6GJ7967KH5ujRzKAsrz2gKElpRHl29bQMpC6dS0U/1o959tA6mYhsLljgiP84AB8BgoFdfoHI0dswUX6OpRNitNDufZGhfvPOVcPlVpNzJ7BS6aPaaY7FG+eIdeyAM8YARfDLXslVr9BevMsCMvtR7zsZb6nu2u7rfjgn2zEhjeeN8rcxFcuSDk/fQ3JjnhWbSKVP9641EpQabmx2gEQU2bBvdrMjfYVhSUT7E5W/lf9blUU+lrz8V7DrEdSkxefrnN1HHAmC4x+9yTO9QLo2vkeKWVmSLjZFLGjHkyJl7XPP3bQGBGIuHCR4Y9nTJLqQgGjTeHLofytUMbf7LLl8VtO7YYcCbyll17WSZjhm4jIjE3Jsb6yro2+8VgKGSOthxzOo1A5YYXzZi2Cn4J/JpZ3DAFb58KKla+ylxcjJ7x0aATZ65VJDlg2D79XeiMSS5lbbcrWCG22P3F8yuc5e1kwxam75P+i9fb4Hhcl86fp62sBZRBB7ezOMJdXMVK7BGeH18g7iZOYmc71tE4RZT31xR0HiL7s5BJAwrxSd8jaTGwwdXZzi34EilBF4uCNwa59h66CiEtzoICQ6CzYlB5QWncQ2cgVhtu0GF3kAmrfTaIkuoCyMl9e0QgfImUIMSNrRar2Q/omJo5ZY7VW43Tzr7qqXvu6wk9b98+ja+SsetOX9EPO7zI2NibmKiNava7cHn5Y3EvcK5u/b4WPGVAxq/13M2sziyguidVhE+REjgxli5H+nZRPFImA5sUNwG1GSQU9ps3zYNttXiJZPlmKc+JDWoVGvZV/tMRuOK9bn/02h3pmPo5SanjjoUu+ohbQxzXt8sNJRX4RGFt/9Vi+YonqdjEHO0ezvdk60HfWLM088KQ97lU8GYAz/hWjDv5RHpLVv/q2JovozL157GiBY6cyCNkP0pv94uVBkufpPvsft6SrxsVyxeeMABlnRvWHnf7Q4L6Dsk9X7chaQ/xTys/OHpU7qzPV1R3aALrvoXbHRGvmSrbdVl6NuhVHn6R3KPseBbIt6KJBo3YN/7lIbNkXQ8v0FGel4zMo2X2rtgexk0Mb1i3DA7R9XQeiKQQEMgz3bjHIZltXdN7It/QeRg60tKwVklOQse02ljOZc/T6MG2jkhMjXwNAz8YBw6gWSnEKqJB5CUBNhlyKC+k1BEckM1zTW9JHSFBAd7j0v8tsbbVIaM3vw3LjUBaQU5txRZ/CFt9bNPJQx3c4TJYWF8PokNDbq6WjrsFm5Xwc8iOF3eT8WeHZXxsW+cFyCgpDjqyAMPa6sDDnV/Y/aTANLPGsHgwobkWjRBWQ1L5ZAlJwDFzcqOxtkUuRR+vJRvuZGEsU0USu9+TuwDbEme78fbOYYt+d6UWAS3rzlIeN30bVuUpi6L3/smdJ1eL39Vs+nVgYqEYRV+kB0bcU/fumy++22qEwkUnPNVHAbvityI+CNmXeoH934lJ5D1NNlGnd1t0dzZRu20cq6eAnIAKq0G7HeKOwKA7Qel2gpXqyLXo0p0gbNDQSfOmytoea5Lhv//OPq8m/H2EUo+ocy0s0AERZ3KH8YpcyflgPjJl3XfLyars+E0OyKBqSPeYWa8S+zbCoKCWacM4UJ0fuDeXiWTZkU7L+bdZLqGjENuJBd/2jjuWlJQ8GIs149gyVPkUGas/xSmY3uu5ZRYxtVApW198HHd81azD5zqasA08yvCEuXgt5wXnZHLl3GL22B/YFgAj9ZJZgAMpIt1pIaT9TvI3QjX91FjyDJJEOGgkuNw3iVuKF2TytSikuDeJDjsqth3F8jfdTnFvEhpisAk3998sOU9foOJpKT3y7GY6YJ2ahlOMGSBcesYjIlIKB8JYZUleQJyoIdoib8r1KikMm9aiGvUF+KR/seQtfm+t9kp94DAYos7YJ93iCjO9+D+6AKYZyeXvsRzlP2rZOoLWbdYdH77trK8FmWyTpVEh9lIfX6QIb68IkDOq4BvYid2B+Bpx1Njy01ZS9wPtjq5XNesHR/yTGTvYLKTu8qosJV5pLXcaKKuvqq8ez4XMoHJTwB/cc0fllTpBj9KT+REU17OZwlR7Ui6C0ulUrOgLtmEY2Or3+1u61puTE5pSMMLD0olrZsLs/eLM8QeV+up4a40BcvSi77l9oqyJG+WpZb4Nn/avPWrnnERxSkfDBF3N+eBitKQmO1hV2duSE6zRxSlGwt0UWteJvZ4a23opLiG2AdRHy0ov5cqUObcM5DmHt9pRFUmVTgBb7ZLNmQvX+4I30uHOl9Kp0l1DPYq1YsOdIy2fmlZrqaYu2t3hOWw1OSRRsB7c4/jUoaIv0Fw0jerOKMWYq9fYbmnpIsgt9My7Wh5fUR0yUE7paBn4jhlhVNQtplfeafd+H9q529YIpT3leyvrsc4Hg/tvWTK68CmMAOrpUOU3nV2dxOQxUJvSMTJg6ORh7r/VkIi/b5J6BXzRXGm3D5vnkS7WRezRKuBocrLN5PlEHkV5DIcGiWJiQp//99pSoZsjrb09u32DIS24OE0z2n+I5m0uPgFELESS3Boz9vUj0Q5IOTu1oP0Gad/mpCWCIugeGbuwNfNTuCbdXlTvLJ1JqXRh4b8XZzyhItvOERrGw3yyAe0z6hu/BQRyP6K29xVpdHCHkD52ND088AYQ1E3jrt/F8ZAFGjiukJ70AI/qk6p+UVv+TEwkDqjylHgEnsqSRfCqH1Cf4JYysvTLtxySIhbpsc1nY+tl3ck/ofD8jA0iq+U8j3aOW0kn5sCUn0ZC0jfibLcnAgcO0IJm8srf6caV7Wvb05kC6mV1HeLtImkops940Fw5iUVCpN70zGg92OUjp1j8925t4ngYKKqkjtOMMMsLY4lxRXvROTaNakVai7w6Wq7DvxdJcxfdT/zke2Heap+WplR3zADebVaZubxhn6MphZYndywfV/UiDxRfpzHStLQfFPKLXpU0y1d27UB5u8cxsc4XrQ6AFB/xcEvXmOdedk44qLVoclyfXbPoE3+vNQSzkBp6WKewaFZXJcxqpreppeVbPZqXUjzXDz6rU8xflqWQroHFCXrq3X+/LzS03k9tnscZBi1Kj270crak0DKPHwvWHlsRh4i4D00MFVU8H6kkjI5UFE4OAxygKIkiHiKbZH1MYWQTUS8CjJN/A+ATrn5/+V+c4H7wOuetC7on7re/uA99JROBPb9Gqn+NqGaFzCKlJbPJivPJ4dITH5NfFDc0vihOxrwoa6yfLQMFgznKtNvi1EXq31fHGa9t//0jU62MlMWXCU2p9EzjR6/x+LokQ41bVHn0uY75qCuKQO1z5hZFWyyu+yMyzQUWloyB8Z7i0Eceo2NrAiKi/DjGRv8MaQTidiuv53PDJSerq6T8WMmSRay0kMVz7MWz8tENQWCFVapoFc+PRyLwTfMdRmXgv5MAUAqKz/NO37vTOrg7xXzmZurkipM3MPjEIbrdna037RciHI1VGQ2CIIA2qqf4XcdcdfNC/OleowqmQDiuwSKSYO2WJCola6i6b5nDtqjmO7fmauQQhMtreUdZd6wXX+TxKNmzGNyvvylt/cMepdjuJ9rsBgb/raTjeQcWFjjjyA60QKgdFQArwOimflu7UiZK0JppH41J/LP3uWiThX5ajL6tCmDj4trB/n6qA3rag+Wv94FqgKByjrmGcYGUhg1fyCpLXixha37MfZ72dHfz94XuCPWpqECdRO9YbhDxQE7AKY2iVfu/kPFsvp7lhoymtTpQIe4X6McXs5WHMk/j+gRcwj8D7ZlDd4PuELJOBl561tcLrmOgOmQ11z5KOneahAU17sIx7ypjiVc7Ek4Ycldtf3GNZfP3kaqyKl/Og+++hHuuVGW9Yufey4h/+3NqCcO1YGKj6C8OG7qi6fsJF18TuWpyWGUH4nTje3c5uzpql0g1jcTVxjriamMNiQRwgZXvWukXLt1MJ0t4Ljq2sj+/B6wHFSVlxx/trIhonE5OTZ+/4pYUX/pmzKcm46cTVBk7y46HT9IuvtmjJb2zqHyWgag4m1P5ZDgnXnU6Q5h5tXmjpaNzrSUja621s2OjDWgmdlU9V8qzd9i5X2/zcL1npAokNYj+4rCpK5p2TLjweombkMMq2R9bM75nwVnTWbc0W9OwsNJYt7BaX0OaBS0//oy4t+7sGC9vvv+vZbZGF0Yf7walzZtwJT3u0nmln7+vr5N4YJR7YHQ+qDMgItXHZ3l1qWY+82ghakmKPrqqHn4erzb3GuYuzSf261+SRHuLHr8Z3t0u3d0Cb9EtooogokPf7O6XPiMjCFkcxVt2GKA7/xSlYmjthXttIInZBbJiKV2RlYKDTsG3UHoThbXFXY8zK3sA/61p42BqalF9WHdLQWF+W1i9AT/GOPnIJzKLQFY9I0cRskFMqC+nvoOmvC+dmoNdc/QtyoZkhWGk9oTWoOL28p6oa3QyaC571CMXxMmVvimwoui8yMDA4NAIktxB5EAikQAMXASzUp3py1D7niD9Q8t8xZllI7tWlW06atoBdWEttXk5mTVhej3+Xsba7Ve1d+kCiahQAIj2Dn1O/fxVXRAv0ICN3YHCsxgYEUQEiI4r2mCt8LEoeJbk4U9EGZ5xGZToXI8AZMhfS3r3bStu5/wsEXlcnlywLDIGxOpqt9XB914Eu8SydAkhvDRep+OAqR4VwpAYA70VxaIRhAyxH9AVvj48oqxBNAdcr92bkRYgirkF/BV4/SLwUALq/uQhxsb+3c+WveVEAgiN83O5DSMxYSKRQBTE16y3+w+khi582SVYfG6bt0zVmnTtvsxJU2uADdlmUcWVtxVjxcpCY9tcxVyDnyWlxI5VGY308xde5wZx8hXBIxEkuSgsUUrDGZnX5K5mkBiAVb2W4F8dEAlriKgNZuJdTjjBs1h0UrW2gxikbhP2XuhufocjQKrnF3HMVfmMojOIWfsp6ZNXV5BCfhUwsOkTI3Ttu7p3cQfJ67KogtX81ThQEnTdEW+4Nd3hWRCif7dgN3SrRliAhXNAzM09r6eWBbcKHs0G0t6BnPOWvoMJINZH3F2KwbPxMUvmWZBkj9frfapRb017lH1RAmHvXz+1vzoi9s0waXdEPyGhbLIBrdzt6jNipk+2IJdUx5iTFXutkpIe8A4M/0OzBEQCSzDqKSCQ6UUA8N1Hxw/+8neBwtHy++blvAoCs3hfTXelk6WSX04sFM8AgLMQh8OB6FC6dwkbAFwOl2PaY5Sw+yYALF94UB70By6UC8BJFDm5z7ov4/6uM6xbB6TnP0d+UQDihWnn1NdS0qmvnfXzaBajT9w2gZagS8MbKUn8Gxd9av6mMYKbBbj9uj5vxElO62fdQefsi3eRRZ7mYBGRmQxRyHgrvFmPD+nyV4yR5AVnC63B3rwUkXJ35ZgqnZB/SqsWbYzCiIjy4fn74S0KLnY/LlIuhl3cXmT/PP9PRFtlrbb6NdTk5WbVwIEBd2X+o4WuiYRBJqQXQ1rSIgwWghtacjPpLFJ+/826WnNWMwKhay7Po7lJlHuu/P8RYSr/hyKzj0xB6DbRz+8nK7QSK9VSPpLIpqSVyCoQbYPPJBKbDjQB9RsdQAGG+sqmIsDAbXZe+nwyEyoSCoRBRYknmghgQtt9pKsEtQyzMibbN7M7KniUJMKQxjbWWnT5Vf5RcFraEMwgOENMIMQlHQIEQJDgbaLQK/JpEBh6lXQFAlu6ArpV3xpKpKR6N0Bg6E7BToguUXOZwmm3aMTqNWXovsjY5m6eDk60ICtDuShacSLMqiReKwuKnlrlG3JZq184740QKzYvXua7uO8lKYuUmzzfKaBx1eneNkhlxBLyklvE8Bi18LlSpEWLIAnCAOwybojN5rcBCeQ1y80F3E6ojCNXRjJspGViclKt2ICjqHNGP8uqyMfEPe2oiAzRXlBFkNZnvMJZoKrzOLnaLWVVBGmr30/+UQ4+06L6kqJK0Y0QCbGpkZ9wi2j4M+e/HdXWR4eNltJgl8FCNZBkKVSx8hpD9w8ASCASxTQBY8V1tACoO+3fOXR20YUobw01W0VdK2mA+EAIhNIC3trseYj+Qt+UvNXKeDnh7YZL+UfwbNSUWGhmiBGTiz0tGgQBLWwVg5Mzaz5pXJGXTgjf3IeFW21Y0J9NnULOYtUxUHRWqzblIZ88aV+/Xd9kXOEjgKdocFUNo0+NJY0e+1ge4veYY6A9U6tr58Jvac7pexEv0np8yxo+r6jeJe8ANKx41czdtPV58+BqX83WawPGcUSk6uE4xHiCozhtjeGYY2JvBYdizgii1rmGWlj7wrbCktZTLH1PsfKkx8gPh/b9S4kJaSODY4+lhS3qsvMnZKptEQ0Stgy68QxZ8PCzlITKlIm8Ko+FSbtRGhQDscPGUOtdt1uYbRw8NtBoefoA+hxnV1JyOLTXuV4TywhQwlopCzJ39vxSXSdkqu2yGsDsA+HdSzlLopXx+SmmxkXELkGle50ykDMQbB9Eg6z+3TrlO6F0RHKwaHX30pnbnV+T8xft2gDtS5XzzGS0jZhAG0yomX0REZw7caMQi1HG70abqJ+ZTUgGbICE2F/dR7hj9ieuk3gwHojXqwcIMA5M7kASjg8rs3kZr350V1LvlhNtTDKMY/0iqFfCDupHDkTjtmNDaFfyRUti6maLXN+w/CtU9TARun5ZpHfNZbQNSROElyW6TYG0obnStKg2lB1pt/HLWTatLfA9HMDoM86k+o29XCl+srlZVbC2RShcXwPe2V+vVFcrqO1LxOWvoGxIRmWqArzY9K7nXW3c886U3V1jXcAstuWaxlyh7oluWs/VqJ+M6Grau41WvsekGv6rEl8dlCtZinFXgrIAY7qmtEdT2p1uMH6IAOU3FgzmD7fQDT3GdFBg64ivhhqJVDAjsbo9KlV3E4ojIgqoqxJifXLiJX+BBM3tMH2fNCKRR97lBhA2s4KyQTQpp3mU6qz8ESQ5CiQ2cy2RacRXOB0417KYDFHcLwJEA4/mg6N7A2m4nyhMbO9i+FSyC4DwJCioOT0cwIYHgFdEsZ0Gz7uvghqOZXWPJuOiILZgD4cpeJjy/HOH+cwKQ1UEryjp2AeZk00GgA5jJfJ7P8iNDtkgz60xqbCU54nrSjuxIkpQgPNLe8gVkOHcyXjm1rghVIl8Q+/Xrm2SnfZSCoXzA/MxYRHf2a/EertjVNeu5uKKa56fRo1nPWpF4RIa9bFYsBIEnv8zSm6McZFaZLuUSytrCKW4IjwxG+srFsXS2YTZL3Si660/BpLN0vmDoqI1xFv2qFzhfamrpgonBktDp5EI9ErbL/5WDp/QDzOB0yUm+lkVLKEU4tbhSZAaDlgSKEARqrgXAKDOem/WgyES6W5AgJhnmiU8zizhhEIjuI2Wq8uMAU6MYR0qvVe4aXAKFJjNIbkmBk0DbHCX9Li+oY1gMx5JyOkk5zPVZiXQRLLmC3Ut+nDHmIfh0LsIu1Ztf5BivfLn3JDb4IRI2zkTdnwdaiTubIR+HZDIjNKNoSUucWOucWDd3TZI3iRjK7Az0zNpGs5KGpSdk3zkkYWCla9HImf01CBxYU+n4oBuB83iM+18qtxbGuUO9grnU8XsCzHrFG9okb1LQ4Hng1CUXyaMz2yOXUMGXk39XGwT45AQ+T8yjHFMBTZ59QKaOycvcsWUh90Fpi8uoux1+3G3eU/+9Uup3KsQ+8Xv5LFLwRwIc0pJQL7C+e4smQC8cj6pyUpiAveKcYHMYNs6ZzYS5lN4Wva80Hm76saAzMYQrQn1znsjcabz+eTsQDfGP5n+nkRI+8STMzPJJH9L+ePjB/Qz508ZeFksq/bK6XGRIXGzb/TZcjg/0+RgcoQGxY9Xtf8uobqxT7mf/5tvMMWrFCx79RTXA+m/v0GYz2HoY2iNxQHQM8io76d9aRsC2oMdLJ3t/VcAfzIs/WUwDNtRTiEY6HsYWf9a3oLtYgPahUW3mFRodYNbqviQbzGwIHfJM48McU5UO+pqZVirse9U+qx8xed9ACYhDs5t9zG5qrqxkX57dKXNccmzapWajBAscXOJvShsTEIwr80v1kvYzG6mWyK37BIHSU4h16GQ1cnCKAERTSHa41cREdKLs6jUazMov/cKr4sgSa0C1AjVXNbvW1hH8qMVmRURSDKkkHE9Mv5p5wPvb7/k+rV6Eeq0vbj+tVv6tHvVdcMIKZp+rKT77k1+fmeEH2UJ6LUPh8RPnx50ltQdYw3ryFoU0b7wUxIqGSUs5wMBop7qzJQvzphcvW+bwXhTCi9R9kk4iU8cjNgnC5R7fgKzhzu1cN4ymFpuqET+x+Ljfm7qBi3rAhR493urw9/6n9nqArPUAexPaEXUJXQB31zbozAuW+z04FNhbWNK8zteUsb/6hFaFY6CV/gn6g7TmNbOjytruhZ6mXVaQ01nvrKWo8GrIumVxXhkCdz/xccYFYoHSN1tuWVa+tEr9seHr5KCIUVyuguGSSeqo7a7fmn5h+4ol3az22m9rsXrXlPMrfJ2bJA5PeyXjJL1ua+vKxrV48fUaxKoCMfJNKed9mSo0PKzPwxO86AskJYlWfSpiZsZBuzgzjGJPrlNtCZNZYdb/67eguaDfRRHPXEmUJNSIXdSpb1tA3zoqxbV1zjrIYSf1ODhdu+xMVO8XwIx+N4FR63KAj8GknqloDE7GmP7nLBIKnPZzZb5eK2zk+b4QUnCLZoSz5gE0gQH7id/HOWqd6jC12bFdmQ7Srpw89qC5lszqDRvGscJzgD9WCtj8Py4ijsm+C44WRNHTOK8R8Y6KUjqJyQ9mYoDZkPwgPW3asrN8OOxXSmCKiDpwRJwpA4px60RcT5Sg+rCGRln2xJmzpQ+gBNW8VVKIph97AvJ0nYBECUvs9nuh0jXBSUno4ehSRmbuAYNWQpwJsOfaX1WrLdZoMcHp5vR2KGw5IaQ2L3UXhwFgAV3TFiSjyTgGeXBPVxALd5MYhbnWnHTrOjphpGHF0lNVn78jFNBqCMEdrxJ04KZaxEkjO7ZBkk47DpsvQPPh0+KmVqS3QHO3DHPcFhKgtBH2JQDcehMTyK48t7tgAX73fIgdSnJy2wJzVnnzttXuT7IdDlOv7VOiz7sRHMXl093l4/HBKQkUN2Br+VgOnA1fDXRmVVix/Ucmh5MKoEQawImuMBwtqraiuXaA9btRL9F/sgVyznL+ManUQ2oXnpKkWVTXG51p4ohbEnjlffnReLfQsbe/5hkGPltvqItNFxsahMWe6tW0amoJVmgzVXIOEVgshPx7vP1gE/F97EWiV/i6tJVudRDPilDsT2N2jptwyJ7Jok/XOwkZdbSbrr7MU1c536gVpPA0fGtfuDVp4ZO0yivcbWpofhtXx+qQm0O8waGORi3OLX1uIq1TQIPrG3Vhz6D6iiotuJmJDTRmSRMkXKnRDTfUosFpc8BD07ur2zv/Pll87UCTM8vlJZbmM+MWrB/ddnIJDPZqaqH9l09C04B2MxqdUEV5Y3aM2bOkskDlLs84HpmFM6z15on/wjQ72LXwtt8eKxy/qt9ekfgD+d5gNbzkRYjP9ex4W+5lO3hm4ZpnTedofVz1wPRjAofxn/TQVpnO1vwSYnC/SCjO8GJxrPcBVsSPtGt8AvsMlwlax2/9m0gm+ueZkEugtoEv/9jwOazUPqxp4Soy9GfHZwPvw7QH19/Jd6ztLMk5Rd+7KR95PTdKJyhklhBzwpAliFoM2VViSl6Tb9+ZU2AOcwEbQX0LtrkcstzylygzxXCxMCPW/Q5RruW7KrNtEvw1koKp2KD7JVWCsDsyrSb6ZrLFNMlQmb8BA/Uel63p8zrGhvAdGjpPNtOl7dQ6roqecArEwHzmrw045cyKdaRIlunkPfiJIW8cBnLVUzi5NyTsq7zS4jI5MtL6I0WnulD1J1LNgrJZHlVONSm6CaMyruYlkrJtKH1jubpUn3EKYMyKWa5GDBv4fs6Xg8kPxbOT5TVzMRWxWa6yPvQOItMlZC1MSVm1P0HlIXCNZXf2WqgSkS7jMu+NYP4PHk9vy7kt3NW3xLQDULi+MViupx5C9A7llYZv6ri1DW0U6bnSeN0tJxuhpCpAMwYFME9lAZKQYBG6/mifBIxtna6n1J1h5epWVEaAsQxXsOUNuK8JylnBKeHMh1ns3AmIGJsrSRGeAq6gqRFE6UhoAiULpooTvLVnSjuhzcUJE+vXXjslHbihUKb1URSJjn1RcRjNZNnCFAMAOivy7BwXr2QwSI+xjyKwLtMXFBeMKx4bpA8ixmwlN80SVmXbR7y0N9KW1sCvgz6UpQ64q8rKfebci5RvpHkUxTNssJzkPKgP/InghwhRM+Hs0kalJ45IZ7bFy/C85SmcpzyrOv03PtYrO+UDeX1ThkvoF/zG6BIcUetGshXB8BHBx07/QqdZwF24xiH+6VV+fGnTJTyPUnn/sgthfKWdowK4PTYcn/QTcevvV15agDzTiWtCr8g9ZOU23lvad2E3oWc8ljcMJQPtL6wFfPIkfN8EleKNEnR207pbgB7pWEN4bY/rvFE80+b8/jIeBvFOVzMj9Bc7ePnRI2QlgH6Zylj9A5NpkMp4ZQM4RODIiqhqXBoQFxfz2tNCkVkdnIQPAzaY/oep6nDL8SL81MKjMeYtDT15MwUc9rNqJFPDNL9aPwooS7E+jM7c8kKT8kG1jmU6uqNg8zjdQp6bzcn/+S+MHJZ8o7llExOR06XOcI7Hj/88fxxN53xpD2V4prW9RSKDZJ6hEMnrKCVy+MMDAokrYFTPFvXm5+JJqXCW+VQ+iiUAXvPmGTocmQdNKV9Et8Uzoe99AlY/dIdDow/D8Aswri7lbE2rkjwPmNdAcDvq6yzdC7Rhgdtvdy9rH+XLUN5C908vx7lJ5fBPwikbqeucZfwine/ycc/PBhG3nuY5BVPE2MDV03hbDwjV+KkQk83AfXSdE9+S908jAI60NLvgkntMMqADr/r0Y4PEMHv8HDRDs09Rolh3+xGTd04gCEXbsiZkw/bIc1BtLPTjLpPOFPP+cdk//C37R1f7lWc0DMVm8RR2HzAUM+P10RU20xeoZvKRGkLQZx3CYkVtooG7m4e3Tn7Zaby0ZVSZTVT/tLlJl0uWGrhzUq3NIQxvbRUmhKPPb9VnfX07WnpexC9HLm0o56V///jaADMpmLzjcN0B9yuTDVd2aUB2SvgBHC6EYUDQD/gJgq5c3Q6KXN9qujlIHLfR9sr+viwGwOnY+CVeDqXQGrs4F3JB50xyenm7YUhSzc7Kzpr/7MyQGQHyEsWv5oaBgDsjvzq3vItTKqVs7KGeH7R34CfAvot99ApMMUa6W7jcjO0o+a7lTAof/L6NEXHTTtEOVVKPJSM51LN3kOpuCNdePWxyWuFO20dHoMAIqW7lamUJiXlMZ38Rc0+NDv7tkTm7DUxDJcDdEyf+vtptBGr4VqsY7bYqaFJnR0yiO5oGMA10ihFfVQPGYQ7sNaRr/9j+qldkGq5M56ck/XOpWDeUPqaETsxs7RJUMwUvgeDuAWf4q9o8iMf9v5/GAy3QHXZj3xyRHVZOVLqUfNe+bucOVtRMM+SwGa7SBaCAwyXzQCG3HMT1/KPgDR6IiOZfWWj8Z+1yq4rJzRIoFDO+ztwxQkHwOsMvgMbkZA6uuhvP0VB6T76MBZ8kSuPFaNEDmLsGabZB6WbiZnKG8WdVsQT2ewrSVpfbzSdtiK129N96P7Qc1lwio9NwRDeXlJtd+b025tq6UBUm8cU9c659pRNlhZL0DtHOy+XhT2p4ZTZpnn2lE4zl1korzWC7rz3w8nXvye/9OOSvXZ6/9So935AnwIm1/KUfjBQY4cnxTEwCQvwCBbn92nLiAbtBfSBM30tt0ZlzPSpoC4FftzT5gLaHWwCqD8aoDYZOkzbbYDZqc2IW2PTFRnU0hRXU1FICLREfRHZ0HqnKmpl60VyL5cuMUIpFDOMonO4dD8Onban/9Dp+KLVbogy2Y2rEWqlnRB6h9GzC13L2GgrTq8NoTNoFotmjKD8o1CEyHu+VE84r+HOmZs5W8fUiu1l03W05rfkQ7wa5KZrJfW91LumTkPUlT2IKfPaUjKlreY6Tf0u1dpUHcoXDguba1N+1zyfRYm32oZfNynjUaqySempqsdgo44Bykq1vxdQBqjfm7WK863c01uhJP+m9eXKpfclM7V7mXKHBvjE8z+fX0ZwfMSDWpXC/LOUATXu+8jBudJ0AZdC6D1cynldwSxodu6dWvMYQ/envHohN4X/zbixfco5yMe+B4U+1NDb6otFVf5TSSdc2m9Kba16Dklvf93f5px/3clMs1na7lKwuzEaP8/Hs9nyCalrLFRHIZ/bOxNA+zIDyd5A9gU2H7pXxfiLYvz3zvhXASw/wPoH1PlcSdv6aB2QzgygVH9/x3osyY9DBouczbzOsCms7vpFzLrZlLG+esGPfoVFF/jnsNyYFc0nRSMG6AhCgP7cAgLwH/JdL/e+gFK3cy07Obe05miIXAtMEILwqpEoeR3HkOQhlqylBHp0zsOxKPMhZNFEHCalxeRJEkGJJhVVMRnxQubbErOwFPFtCNdsACAaxTCpdoSOIpSmcjBsy4zlXK8IZMgJx7EvhDDfEAkexxDnTBKT3URqeRaQUa3uP5b4hc+WXuYtq9DyJE6IElcR1yTu6LvtvsSymhQEiRWtAsVgBBVM5x/CKGm/rlCXs2msddivCqmGlYWZVOBxUJaQa0eFUxzhfRzfTBzbwM5zavl9/Bgb9H964QnU+QLARRlOSJ0n/3vd+YrXR2feGy4/MgSaTJp4RR26/L8c4IziSgrmwYFR3g38AvnJy4Lfrv/ku3a7ByCWGzxJQtFPrpPOSb1p3UP/b1uyzDc+l7qvHzFc8Yo/+056v9//+vTCt6/mlv+VqlvPnAPCwlICb0S+tjOUZvPXPpew2H1mEedElX2almWuado7JJbdK1q4yN2V/70veS0YCePGxhO9aNdHU8HB9PgiTOsFS4NrLREHq1CHr9mLz3BoCR/ajxtHapfx3UU512a4k9iOLBbHinQam1Vhu+Dy7mSyFBa6RGVcr4aswmIZemPhOpTvC1wKrtpm43h5yquy8khry6urEweyMThWtT9t0vCUg2oveBmGr3wh2jBushQ2s4xAM8PhHhlGY2yu3LLFWIRT7sWCn/Gwd+GJGnYddesRaxAc70K+Zep8O/64mPfvGvzIyTxLqU837yv9NiaU/9z7bcAp5NcyRWaHvdvlfPYzhd5JkfXbVYUmtZHldqDlxVm0Kp9sk96kHZp90yfJaDPnhXaPEB94+cbbZ/OWLCBZ9J6P75ateMrXf7/ZtG6Dn1/O4QWQcppifATjFLygFFVqP8XotA4dO/JJFaQTZ1DOXBgiscEgQ4EKfqg+HGaCbPDzKZoHJ4VSpdZodXoDY1Opyri81NEzW6y2dvYOjpyTC5fVCHHtxq275XNUj6mea/U1uZYpvXuCoBiu3M0tlWj0e9cgSrKigg/7AT/hf23bkGn/Lsm5tsMTT/chG6fbWt1z3wMt7mjeiYwtv/hF7HSrrOAJzuSHrd2NQbUh1abStnw5RLa3Sk2pNwzTsh13RgZ4KC75nVpplhdl1R8MR+PJdDZfLOuV5un55fXt/eNzY4bnsn///gEQghEUwwmSohmW4wVRYqB2WrDEH0vx3cH/yCJkpnRelFXdtF0/GCJq6Zw35IfHp+eX1zcJe9brN5vwqEZTjaeaTDWdajblfI4Xt2xqf2t7Z3cPcvnTAw9IRhkXcpgrbWzhfIhlVTdt19QWyDS6hEKV2hM5Rst4fD/XxZnzuh+GXHJZS1tHVw8ABIEhUBgcgUShMdL2IQtEEplCpbkwj36Txea41BZ5tnprv3W2OSjXBhuBdHmb+gKhaM1Cl6bzwplcoWTQqgdlG5sgzrG55RzGs05e8/T88vr2/vH59U06x/5gqxgYhoTh7T1FM6zZXS3XnqYbprI133E9aGt+GMXW1l1kecFtvQdKz74B5EUwIYQShrAGVnoC18qZYNYrzK79gwlkwWvLkUuvJYoUrU5+Cu7I10lspQeWzGSL1aEP7hBPzsk7tFN4WId7xOr5BIcYYOG3WNasebJzCNajsFUZZVctFBrDKVZqmTIUK8NMqI7h8dIsblY2Ri2PCkcgUWgMFoddtrgn2ZQ5eUhk9g7gDAUIglJYlQZDXpX0TOhdpdhsnMWi0rMIN4sy5BNxksOksNHLKSgVUFHT0NJp8dtOlSYdBPRPhcv4UhGynuojoaBhZsSBRcbh+Wj/wGNgYmHj4OIpwicgJCJWTEJKpoScQqkySirl1CpU0tCqunS51e50ewAIwQiK4QRJ0QzL8YIoyYqq6YZp2Y7r+UEYxUma5UVZ9QfD0Xgync0Xy3pWAhevb8MSEH/K91MFhGAExXCCpGiG5XhBlGTlnzq6ZQmXpuj3H/tC8h3yMtfTUDKSTHIX+LW+TtnmxDgNvR5cb0kEwjeySASbNXVSIqwsf5tW8LHXbw6LE9U8e5s1DtaxpB5PbrLQOwLhsOxLrskoFxwe7diZFmkY9TRjo0EW6Q4e7YVAt9Fo20b0K+fjPUSO8UW+K8aj7r2XI8/5RDsg7p5MDMCeiI/7aDIWRidI3u/gyaGIMkyO5WiLk1FyCsM5Md0vzPfRDMZTlyD1NSdmbIqqGRNe3T2ZyRp3oj620ZxvMIW5gglz3lwdj5rsGE8yPD9k0YZ5b/8l54WvM7C+MuCdtNo2Wupm8IWlgg9L3m+jZQ8fcr48phDqWfbksgkE/j6WB+04OkX7rE4ldwaEKyJeAf5qnyPxKNvnl5h/h2EqXDsvMDXjxW76URzwbT+Mmf+z1+Ocufg3w/Qn5m0ZY+9GHYctH5nqO11hEl+0nISRPU89q+xRFwETyoALqbTtZkoLYUIZcCGVth03U14IE8qAC6m07biZykKYUAZcSKVtx81UF8KEMuBCKm07bqZGmFAGXEilbTdTcKTOhMaaC2ECXKVbTNxMeyFMgKt098r0RLKXiTiAO+YRawFhIrXtuJmS6cz+sgYAAAAAAAAAAAAAADCwjepCmFAGXEilbcfN1BbChDJIFAthQhlwIZW2HTdTX0jmNpBoUqJFVKpMu3K7CZPsHibRzkKYUAZcyJ/3oatIHQ8/H56bs27/YDy/X3X6789KNnH16nneyT7p7sq0ndOrD/YwDnr6iZNnyS68U/+TVysfZyISuPZXKdm5Jy5NQBlwIUvdLoipNUnCdqa5SIpOUl/ZcSY3LJLBU95Kn51vFHvbbKOYk/HT2LfsTlyeoyZIb04yHeJjEpzrcyHdTGshTCiDeHshfCGvkuzz/tu//8+fVvSQrv97+b0V9ufgEB86tREXycKF1HbOuTfi/DIS+gCZy1xAhLJMy4XUtpNpEyaUARfSye0cd8y0FxMqpHIzpYVJtEKYgZNbZULdTG0lCmVcSKUdN1NfiFAGXKp0QyhwpR030yQcne/dadsZdzrLgAvHzZQWFzJVJkyoVDq7csdMN5iCUNrObS6EKXChtO1mWgsTClwoO7e9MKHAhdK2m+lemFDgQmnbzfQsTChwobTtZnoXJhS4kErbuZ2FCWXAhVT64Mv7Q3UAXydhxUl//qKLLhNWolRBuQqVqlSLKVNWUKFSXbUn9ounja9f+k0lJcvfSXnm46WnqJxZJ08U+ZbpVpz0Wo67aWsDpYhKC58eDF2eaGxNErdNimPdfDPd64LUJE1N6WYgN63fH+RO7IAJLvbChEGnpiBM2uxTLewEMtGZJ53Bt8TTzoAAQOBpZ0AEgAABACZEQwDpgqEJ4YcZCcmUhACRDUhAEP0JIiMQ/YIEahGRcQ9XFBWmZGzwB4IMFAwcAhJD5FDQMLAo4OAREFGiQo0G7WI3kqPcnqvRbhiIUW9irEa/yWYSmFM9GUyrJoDhxeXksAajAF39j2jbPHh9ztQwUsmib7dVvOVbk9da1vnx2dWcUB11WNGfV9Qdcdc4Lep0prA/EGSgYOAQkBgih4KGgUUBB4+AiBIVajRoFzs2oMWCqiQW1gCsFliSau5RAlAASCiQVCAoKAEomFANCEpXICgoQQAUlAAUN6CKBpQ/xo+sEBKh00AKUUBKsqKMAGX9QBkQZXQiBVaUEYIUaleUDYAeNau7CnTILDiShuRQGgLS9Ic0QNKoIWkEgDQLkAZqN9Koe0xh3cpmB/VaPeITm1THh9pWskd1T0ZYP+4fiXDWQdp9WbM2UEUBV43Pn2W+MP/jYzMXoPjoOUGZ/FCTVI0jlkFfzU/Uoey8BNwrXFlYl4l/FBWMDFRJIJ4yOEkG2NpQhLwGLDpfRuJ1msLSIAeVYqHtmC4F+GW2BFBTSrNXGn9BBH2398yWIeoIvKQ9gnxA0S4WKQdLFqiXcYijxpmadWmsVnfMTp3RE8r3JMR+EgU+S6gujKIRkCmfo/YE59mos2pfiwKIc2jUB0bJIA0tlS2SohJCGiKUK5IrLkYSRginkQaSctyjUoEIe0PoJRRWFSZph74gxKLkXuZkV4GUYSJjECFBCu8fciUVjRqgFpUtixpNS5OljViiBAaYteNYwKlNPVHrlemvwUjsy3KfQvmEs/jiqoWBhsNVQizOCOs41kNUDukaUgtxUwzGDIkgUgtZpkUKn6IgigEKMJMBeEzabxI13+oHlXm+efMnqomH1hPW1Y+K1G6TJY5lhqGG/9j6vQQxseA5vqn6osNLFUyZLFFNH5lKepc1szhbdSvS69MfecrMq2EpqFKpUmnSaNIICUKhVeI9Ru4OntSdyillbGITlqiGGUvY9ISUw5ETx1g6Q9fckM6z62pJIUWucJWQKXOUs3xPGS6Thegb3bg1f0aa5EuuMUl/oeysB7CitKUg9lb7XOQZ3u8vyFYDRBlKRlYDE9tDRBlKRlYjRBmJRzk8s25DuSBYXCcY8K1Igat/aIBFWkzy1+IvsJ51ZC9qunRQmyjfoNycw0Q+zvz50kOkke2Jb+iskwmJbseXag2PJkk9OxjJGtlDlVAj4wNS9kglZGYzEVwh06n1INTzel5Cw3bCGjrWzQaw4u49TO393sJSCccm102a3DfCVEkY6029nEPENPGSmH+jWY9GMW5/IJ8Zyvrg+dGRHgMA\"","export 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\"","export 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