diff --git a/EPCsAndCarbon/carbonCosts.Rmd b/EPCsAndCarbon/carbonCosts.Rmd
index 3e05cea7b2b0f751b7bb3af9ede5b617fee7933a..cfd0a4504240efe1ce6d26933b630a587ca9fc3b 100644
--- a/EPCsAndCarbon/carbonCosts.Rmd
+++ b/EPCsAndCarbon/carbonCosts.Rmd
@@ -38,633 +38,281 @@ library(kableExtra)
library(readxl)
```
-# Energy Performance Certificates (EPCs)
+# fridayFagPackets
-Apart from a few exempted buildings, a dwelling must have an EPC when constructed, sold or let. This means that over time we will have an EPC for an increasing number of properties and we should _already_ have EPCs for all rented properties.
+Numbers that could have been done on the back of one and should probably come with a similar health warning...
-EPCs are not necessarily up to date. For example if a property has not been sold or let since a major upgrade, the effects of that upgrade may not be visible in the data.
+>Find out [more](https://dataknut.github.io/fridayFagPackets/).
-Further reading:
+# Preamble
- * https://epc.opendatacommunities.org/docs/guidance#technical_notes
- * https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure
+There's a lot of talk about Carbon Taxes right now and some early signs that the UK Government will apply them to (larger) businesses post-Brexit (i.e. post-ETS). There is currently not much noise on the idea of applying them to households but it is always a possibility given the acceptance of using tax-based incentives to attempt to suppress the consumption of bad stuff. Think tobacco, alcohol and sugar.
-> check what feeds in automatically e.f. RHI installs etc
+But what if we did? How much would it raise and from whom?
-We have to assume the data we have is the _current state of play_ for these dwellings.
+There is no simple answer to this hypothetical question since it depends what [scope of emissions](https://www.carbontrust.com/resources/briefing-what-are-scope-3-emissions) we consider, in what detail and our assumptions of taxation levels per kg of CO2. Broadly speaking the scopes are:
-# Southampton EPCs
+ * Scope 1 – All direct emissions caused by burning something (gas, oil, wood, coal etc);
+ * Scope 2 - Indirect emissions from electricity purchased and used - the carbon intensity of these (kg CO2/kWh) depends on how it is generated and also, of course, on which tariff you have. A 100% renewable electrons tariff will have a carbon intensity of ~0. If you have a 'normal' tariff you will just have to take what the [grid offers](https://www.carbonintensity.org.uk/);
+ * Scope 3 - All Other Indirect Emissions from things you do - e.g. the things you buy (food, clothes, gadgets etc etc)
-```{r, loadSoton}
-df <- path.expand("~/data/EW_epc/domestic-E06000045-Southampton/certificates.csv")
-allEPCs_DT <- data.table::fread(df)
-```
-
-The EPC data file has `r nrow(allEPCs_DT)` records for Southampton and `r ncol(allEPCs_DT)` variables. We're not interested in all of these, we want:
-
- * PROPERTY_TYPE: Describes the type of property such as House, Flat, Maisonette etc. This is the type differentiator for dwellings;
- * BUILT_FORM: The building type of the Property e.g. Detached, Semi-Detached, Terrace etc. Together with the Property Type, the Build Form produces a structured description of the property;
- * ENVIRONMENT_IMPACT_CURRENT: A measure of the property's current impact on the environment in terms of carbon dioxide (COâ‚‚) emissions. The higher the rating the lower the COâ‚‚ emissions. (COâ‚‚ emissions in tonnes / year) **NB this is a categorised scale calculated from CO2_EMISSIONS_CURRENT**;
- * ENERGY_CONSUMPTION_CURRENT: Current estimated total energy consumption for the property in a 12 month period (**kWh/m2**). Displayed on EPC as the current primary energy use per square metre of floor area. **Nb: this covers heat and hot water (and lightng?)**
- * CO2_EMISSIONS_CURRENT: COâ‚‚ emissions per year in tonnes/year **NB: this is calculated from the modelled kWh energy input using (possibly) outdated carbon intensity values**;
- * TENURE: Describes the tenure type of the property. One of: Owner-occupied; Rented (social); Rented (private).
-
- We're also going to keep:
-
- * WIND_TURBINE_COUNT: Number of wind turbines; 0 if none;
- * PHOTO_SUPPLY: Percentage of photovoltaic area as a percentage of total roof area. 0% indicates that a Photovoltaic Supply is not present in the property;
- * TOTAL_FLOOR_AREA: The total useful floor area is the total of all enclosed spaces measured to the internal face of the external walls, i.e. the gross floor area as measured in accordance with the guidance issued from time to time by the Royal Institute of Chartered Surveyors or by a body replacing that institution. (m²) - to allow for the calculation of total energy demand;
- * POSTCODE - to allow linkage to other datasets
- * LOCAL_AUTHORITY_LABEL - for checking
-
-These may indicate 'non-grid' energy inputs.
-
-If an EPC has been updated or refreshed, the EPC dataset will hold multiple EPC records for that property. We will just select the most recent.
-
-```{r, checkData}
-# select just these vars
-dt <- allEPCs_DT[, .(BUILDING_REFERENCE_NUMBER, LMK_KEY, LODGEMENT_DATE, PROPERTY_TYPE, BUILT_FORM,
- ENVIRONMENT_IMPACT_CURRENT, ENERGY_CONSUMPTION_CURRENT, CO2_EMISSIONS_CURRENT, TENURE,
- PHOTO_SUPPLY, WIND_TURBINE_COUNT, TOTAL_FLOOR_AREA,
- POSTCODE, LOCAL_AUTHORITY_LABEL)]
-
-# select most recent record within BUILDING_REFERENCE_NUMBER - how?
-# better check this is doing so
-setkey(dt,BUILDING_REFERENCE_NUMBER, LODGEMENT_DATE) # sort by date within reference number
-sotonUniqueEPCsDT <- unique(dt, by = "BUILDING_REFERENCE_NUMBER",
- fromLast = TRUE) # which one does it take?
-
-test1 <- allEPCs_DT[, .(min1 = min(LODGEMENT_DATE),
- nRecords = .N),
- keyby = .(BUILDING_REFERENCE_NUMBER)]
-
-test2 <- sotonUniqueEPCsDT[, .(min2 = min(LODGEMENT_DATE)),
- keyby = .(BUILDING_REFERENCE_NUMBER)]
-t <- test1[test2]
-t[, diff := min2 - min1]
-
-summary(t[nRecords > 1]) # diff is always >= 0 so min2 (after unique) is always > min1
-# confirms fromLast = TRUE has selected the most recent within BUILDING_REFERENCE_NUMBER
-
-skimr::skim(sotonUniqueEPCsDT)
-```
-
-As we can see that we have `r uniqueN(dt$BUILDING_REFERENCE_NUMBER)` unique property reference numbers. We can also see some strangeness. In some cases we seem to have:
-
- * negative energy consumption;
- * negative emissions;
- * 0 floor area
-
-This is not surprising since the kWh/y and TCO2/y values are estimated using a model but before we go any further we'd better check if these are significant in number.
-
-## Check 'missing' EPC rates
-
-We will do this mostly at MSOA level as it allows us to link to other MSOA level datasets. Arguably it would be better to do this at LSOA level but...
-
-First we'll use the BEIS 2018 MSOA level annual electricity data to estimate the number of meters (not properties) - some addresses can have 2 meters (e.g. standard & economy 7). This is more useful than the number of gas meters since not all dwellings have mains gas but all have an electricity meter.
-
-```{r, checkBEIS}
-beisElecDT <- data.table::fread("~/data/beis/MSOA_DOM_ELEC_csv/MSOA_ELEC_2018.csv")
-sotonElecDT <- beisElecDT[LAName %like% "Southampton", .(nElecMeters = METERS,
- beisElecMWh = KWH/1000,
- MSOACode, LAName)
- ]
-
-
-beisGasDT <- data.table::fread("~/data/beis/MSOA_DOM_GAS_csv/MSOA_GAS_2018.csv")
-sotonGasDT <- beisGasDT[LAName %like% "Southampton", .(nGasMeters = METERS,
- beisGasMWh = KWH/1000,
- MSOACode)]
-
-setkey(sotonElecDT, MSOACode)
-setkey(sotonGasDT, MSOACode)
-sotonEnergyDT <- sotonGasDT[sotonElecDT]
-sotonEnergyDT[, beisEnergyMWh := beisElecMWh + beisGasMWh]
-#head(sotonEnergyDT)
-```
-
-Next we'll check for the number of households reported by the 2011 Census.
-
-> would be better to use dwellings but this gives us tenure
+Estimating the emissions from [Scope 3](https://www.carbontrust.com/resources/briefing-what-are-scope-3-emissions) is [notably difficult](https://www.sciencedirect.com/science/article/pii/S0921800913000980) so for now we're going to make a #backOfaFagPacket estimate of the residential emissions from Scopes 1 and 2 in Southampton and see what a Carbon Tax applied to these emissions would look like.
-```{r, checkCensus}
-#censusDT <- data.table::fread(path.expand("~/data/"))
-# IMD ----
-deprivationDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_deprivation.csv"))
-deprivationDT[, totalHouseholds := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
-deprivationDT[, MSOACode := `geography code`]
-setkey(deprivationDT, MSOACode)
-setkey(sotonElecDT, MSOACode)
-# link LA name from Soton elec for now
-sotonDep_DT <- deprivationDT[sotonElecDT[, .(MSOACode, LAName)]]
-sotonDep_DT[, nHHs_deprivation := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+# How?
-#sotonDep_DT[, .(nHouseholds = sum(totalHouseholds)), keyby = .(LAName)]
-
-# census tenure ----
-sotonTenureDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_householdTenure_Soton.csv"))
-
-sotonTenureDT[, census2011_socialRent := `Tenure: Social rented; measures: Value`]
-sotonTenureDT[, census2011_privateRent := `Tenure: Private rented; measures: Value`]
-sotonTenureDT[, census2011_ownerOccupy := `Tenure: Owned; measures: Value`]
-sotonTenureDT[, census2011_other := `Tenure: Living rent free; measures: Value`]
-sotonTenureDT[, MSOACode := `geography code`]
-
-sotonTenureDT[, hhCheck := census2011_socialRent + census2011_privateRent + census2011_ownerOccupy + census2011_other]
-sotonTenureDT[, nHHs_tenure := `Tenure: All households; measures: Value`]
-
-# summary(sotonTenureDT[, .(hhCheck, nHHs_tenure)])
-# might not quite match due to cell perturbation etc?
-
-# join em ----
-setkey(sotonDep_DT, MSOACode)
-setkey(sotonTenureDT, MSOACode)
-
-sotonCensus2011_DT <- sotonTenureDT[sotonDep_DT]
-
-t <- sotonCensus2011_DT[, .(sum_Deprivation = sum(nHHs_deprivation),
- sum_Tenure = sum(nHHs_tenure)), keyby = .(LAName)]
-kableExtra::kable(t, caption = "Census derived household counts")
+```{r, loadMSOAData}
+msoaDT <- data.table::fread(here::here("data", "sotonMSOAdata.csv"))
```
-That's lower (as expected) but doesn't allow for dwellings that were empty on census night.
-
-```{r, checkPostcodes}
-# Postcodes don't help - no count of addresses in the data (there used to be??)
-# but we can use it to check which Soton postcodes are missing from the EPC file
-soPostcodesDT <- data.table::fread(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Data/multi_csv/NSPL_AUG_2020_UK_SO.csv"))
+In an ideal world we would know the fuel (gas, oil, coal, wood, electricity) inputs per year for each dwelling/household in Southampton together with details of how these are used (some methods release more carbon dioxide than others). But we don't. Once the [Smart Energy Research Laboratory](https://serl.ac.uk) really gets going we will have kWh gas and electricity data for a representative sample of British homes (but not a larger enough sample from Southampton to be helpful here). But not yet and even then it may not include other fuels... Other research has used [UK data on family expenditures on Scope 1-3 'consumption'](https://www.sciencedirect.com/science/article/pii/S0921800913000980) but we can't apply that directly to Southampton.
-soPostcodesDT <- soPostcodesDT[is.na(doterm)] # keep current
+So what to do? There are a number of possible approaches and we're going to compare two of them:
-sotonPostcodesDT <- soPostcodesDT[laua == "E06000045"] # keep Southampton City
+ * Use the most recent [BEIS sub-national electricity and gas demand data](https://www.gov.uk/government/publications/regional-energy-data-guidance-note) for ~30 local areas (MSOAs) in Southampton and estimate the CO2 emissions at MSOA and (by summing them) at City level;
+ * Use the modelled CO2 emissions per dwelling data in the [Energy Performance Certificate data](https://epc.opendatacommunities.org/docs/guidance) for Southampton to do the same thing. Modelling carbon emissions from the built form is [a well known](https://www.sciencedirect.com/science/article/pii/S2212609015000333) and much-criticised approach. Nevertheless it provides data suitable for a #backOfaFagPacket estimate.
+
+Unfortunately there are problems with both which we have reported in [excessive detail elsewhere](epcChecks.html). In summary:
-sotonPostcodesReducedDT <- sotonPostcodesDT[, .(pcd, pcd2, pcds, laua, msoa11, lsoa11)]
+ * the most recent BEIS data is from 2018. This will not include dwellings and households that did not exist (new builds) at that time, nor account for any building stock improvements since then;
+ * the EPC records are incomplete since an EPC is only created when a dwelling is rented or sold (since 2007);
+ * the EPC data have some oddities that mean we have to [filter out a few 'impossible' values](epcChecks.html#36_Data_summary).
-sotonPostcodesReducedDT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(pcds,
- split = " "
- )
- ]
-sotonPostcodesReducedDT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
-```
-We should not have single digit postcodes in the postcode data - i.e. S01 should not be there (since 1993). Southampton City is unusual in only having [double digit postcodes](https://en.wikipedia.org/wiki/SO_postcode_area).
-
-```{r, aggregateEPCsToPostcodes}
-# EPC
-# set up counters
-sotonUniqueEPCsDT[, epcIsSocialRent := ifelse(TENURE == "rental (social)", 1, 0)]
-sotonUniqueEPCsDT[, epcIsPrivateRent := ifelse(TENURE == "rental (private)", 1, 0)]
-sotonUniqueEPCsDT[, epcIsOwnerOcc := ifelse(TENURE == "owner-occupied", 1, 0)]
-sotonUniqueEPCsDT[, epcIsUnknownTenure := ifelse(TENURE == "NO DATA!" |
- TENURE == "" , 1, 0)]
-# aggregate EPCs to postcodes
-sotonEpcPostcodes_DT <- sotonUniqueEPCsDT[, .(nEPCs = .N,
- sumEPC_tCO2 = sum(CO2_EMISSIONS_CURRENT, na.rm = TRUE),
- n_epcIsSocialRent = sum(epcIsSocialRent, na.rm = TRUE),
- n_epcIsPrivateRent = sum(epcIsPrivateRent, na.rm = TRUE),
- n_epcIsOwnerOcc = sum(epcIsOwnerOcc, na.rm = TRUE),
- n_epcIsUnknownTenure = sum(epcIsUnknownTenure, na.rm = TRUE),
- sumEpcMWh = sum(ENERGY_CONSUMPTION_CURRENT* TOTAL_FLOOR_AREA)/1000), # crucial as ENERGY_CONSUMPTION_CURRENT = kWh/m2
- keyby = .(POSTCODE, LOCAL_AUTHORITY_LABEL)]
-
-sotonEpcPostcodes_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE,
- split = " "
- )
- ]
-sotonEpcPostcodes_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
-
-# check original EPC data for Soton - which postcodes are covered?
-allEPCs_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE,
- split = " "
- )
- ]
-allEPCs_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
-```
-It looks like we have EPCs for each postcode sector which is good.
-
-
-```{r, matchPostcodesToEPCPostcodes}
-# match the EPC postcode summaries to the postcode extract
-sotonPostcodesReducedDT[, POSTCODE_s := stringr::str_remove(pcds, " ")]
-setkey(sotonPostcodesReducedDT, POSTCODE_s)
-sotonPostcodesReducedDT[, MSOACode := msoa11]
-message("Number of postcodes: ",uniqueN(sotonPostcodesReducedDT$POSTCODE_s))
-
-sotonEpcPostcodes_DT[, POSTCODE_s := stringr::str_remove(POSTCODE, " ")]
-setkey(sotonEpcPostcodes_DT, POSTCODE_s)
-message("Number of postcodes with EPCs: ",uniqueN(sotonEpcPostcodes_DT$POSTCODE_s))
-
-dt <- sotonEpcPostcodes_DT[sotonPostcodesReducedDT]
-
-# aggregate to MSOA - watch for NAs where no EPCs in a given postcode
-sotonEpcMSOA_DT <- dt[, .(nEPCs = sum(nEPCs, na.rm = TRUE),
- sumEPC_tCO2 = sum(sumEPC_tCO2, na.rm = TRUE),
- n_epcIsSocialRent = sum(n_epcIsSocialRent, na.rm = TRUE),
- n_epcIsPrivateRent = sum(n_epcIsPrivateRent, na.rm = TRUE),
- n_epcIsOwnerOcc = sum(n_epcIsOwnerOcc, na.rm = TRUE),
- n_epcIsUnknownTenure = sum(n_epcIsUnknownTenure, na.rm = TRUE),
- sumEpcMWh = sum(sumEpcMWh, na.rm = TRUE)
- ),
- keyby = .(MSOACode) # change name on the fly for easier matching
- ]
-
-#summary(sotonEpcMSOA_DT)
-```
+This means that both datasets are imperfect for the job. But they're about as close as we can currently get.
-So we have some postcodes with no EPCs.
+So with the usual #backOfaFagPacket health warning, let's try.
-Join the estimates together at MSOA level for comparison. There are `r uniqueN(sotonElecDT$MSOACode)` MSOAs in Southampton.
+# Current estimated annual CO2 emmisions
+In this #fridayFagPacket we're going to use these datasets to estimate the annual CO2 emissions at MSOA level for Southampton using:
-```{r, joinMSOA}
-# 32 LSOAs in Soton
-# add deprivation
-setkey(sotonEnergyDT, MSOACode)
-setkey(sotonCensus2011_DT, MSOACode)
-setkey(sotonEpcMSOA_DT, MSOACode)
+ * BEIS observed data
+ * aggregated EPC data
-sotonMSOA_DT <- sotonCensus2011_DT[sotonEnergyDT]
-#names(sotonMSOA_DT)
-sotonMSOA_DT <- sotonEpcMSOA_DT[sotonMSOA_DT]
-#names(sotonMSOA_DT)
+Obviously the EPC-derived totals will not be the total CO2 emissions for **all** Southampton properties since we know not all dwellings are represented in the EPC data (see above and [in more detail](epcChecks.html#31_Check_‘missing’_EPC_rates)).
-# add MSOA names from the postcode LUT
+Note that we can also use the EPC estimated CO2 emissions data to look at dwelling level patterns if a Carbon Tax was applied. We leave that for a future #fridayFagPacket.
-msoaNamesDT <- data.table::as.data.table(readxl::read_xlsx(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Documents/MSOA (2011) names and codes UK as at 12_12.xlsx")))
-msoaNamesDT[, MSOACode := MSOA11CD]
-msoaNamesDT[, MSOAName := MSOA11NM]
-setkey(msoaNamesDT, MSOACode)
+## Method
-sotonMSOA_DT <- msoaNamesDT[sotonMSOA_DT]
+To calculate the MSOA level estimates from the BEIS data we need to apply conversion factors that convert the kWh numbers we have to CO2 emissions. We use the following:
-#names(sotonMSOA_DT)
+```{r, setCarbonFactors, echo = TRUE}
+elecCF <- 200 # g CO2e/kWh https://www.icax.co.uk/Grid_Carbon_Factors.html
+gasCF <- 215 # g CO2e/kWh https://www.icax.co.uk/Carbon_Emissions_Calculator.html
```
-```{r, compareEpcEstimates}
-t <- sotonMSOA_DT[, .(nHouseholds_2011 = sum(nHHs_tenure),
- nElecMeters_2018 = sum(nElecMeters),
- nEPCs_2020 = sum(nEPCs),
- sumEPCMWh = sum(sumEpcMWh),
- sumBEISMWh = sum(beisEnergyMWh),
- sumEPC_tCO2 = sum(sumEPC_tCO2)
- )]
-
-kableExtra::kable(t, caption = "Comparison of different estimates of the number of dwellings and energy demand") %>%
- kable_styling()
+ * electricity: `r elecCF` g CO2e/kWh
+ * gas: `r gasCF` g CO2e/kWh
-nHouseholds_2011f <- sum(sotonMSOA_DT$nHHs_tenure)
-nElecMeters_2018f <- sum(sotonMSOA_DT$elecMeters)
-nEPCs_2020f <- sum(sotonMSOA_DT$nEPCs)
+Clearly if we change these assumptions then we change the results...
-makePC <- function(x,y,r){
- # make a percent of x/y and round it to r decimal places
- pc <- round(100*(x/y),r)
- return(pc)
-}
+For the EPC we just use the estimated CO2 values - although we should note that these are based on ['old' electricity grid carbon intensity values](https://www.passivhaustrust.org.uk/guidance_detail.php?gId=44) and since the EPC data does not provide gas and electricity kWh data separately, we cannot correct it.
+```{r, co2BEIS}
+msoaDT[, sumBEIS_gCO2 := (beisElecMWh*1000)*elecCF + (beisGasMWh*1000)*gasCF] # calculate via g & kWh
+msoaDT[, sumBEIS_tCO2 := sumBEIS_gCO2/1000000] # tonnes
```
-We can see that the number of EPCs we have is:
-
- * `r makePC(nEPCs_2020f,nHouseholds_2011f,1)`% of Census 2011 households
- * `r makePC(nEPCs_2020f,nElecMeters_2018f,1)`% of the recorded 2018 electricity meters
-
-We can also see that despite having 'missing' EPCs, the estimated total EPC-derived energy demand is marginally higher than the BEIS-derived weather corrected energy demand data. Given that the BEIS data accounts for all heating, cooking, hot water, lighting and appliance use we would expect the EPC data to be lower _even if no EPCs were missing..._
-
-```{r, missingEPCbyMSOA, fig.cap="% 'missing' rates comparison"}
-
-sotonMSOA_DT[, dep0_pc := 100*(`Household Deprivation: Household is not deprived in any dimension; measures: Value`/nHHs_deprivation)]
-sotonMSOA_DT[, socRent_pc := 100*(census2011_socialRent/nHHs_tenure)]
-sotonMSOA_DT[, privRent_pc := 100*(census2011_privateRent/nHHs_tenure)]
-sotonMSOA_DT[, ownerOcc_pc := 100*(census2011_ownerOccupy/nHHs_tenure)]
-
-t <- sotonMSOA_DT[, .(MSOAName, MSOACode, nHHs_tenure,nElecMeters,nEPCs,
- dep0_pc, socRent_pc, privRent_pc, ownerOcc_pc,sumEpcMWh, beisEnergyMWh )]
-
-t[, pc_missingHH := makePC(nEPCs,nHHs_tenure,1)]
-t[, pc_missingMeters := makePC(nEPCs,nElecMeters,1)]
-t[, pc_energyBEIS := makePC(sumEpcMWh,beisEnergyMWh,1)]
-
-kableExtra::kable(t[order(-pc_missingHH)], digits = 2, caption = "EPC records as a % of n census households and n meters per MSOA") %>%
- kable_styling()
-
-ggplot2::ggplot(t, aes(x = pc_missingHH,
- y = pc_missingMeters,
+```{r, co2MSOAPlot, fig.cap="Home energy related CO2 emissions comparison for each MSOA in Southampton"}
+ggplot2::ggplot(msoaDT, aes(x = sumEPC_tCO2,
+ y = sumBEIS_tCO2,
colour = round(ownerOcc_pc))) +
geom_abline(alpha = 0.2, slope=1, intercept=0) +
geom_point() +
scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
#theme(legend.position = "bottom") +
- labs(x = "EPCs 2020 as % of Census 2011 households",
- y = "EPCs 2020 as % of electricity meters 2018",
+ labs(x = "EPC 2020 derived total T CO2/year",
+ y = "BEIS 2018 derived total T CO2/year",
caption = "x = y line included for clarity")
-outlierMSOA <- t[pc_missingHH > 100]
-```
-Figure \@ref(tab:missingEPCbyMSOA) suggests that rates vary considerably by MSOA but are relatively consistent across the two baseline 'truth' estimates with the exception of `r outlierMSOA$MSOACode` which appears to have many more EPCs than Census 2011 households. It is worth noting that [this MSOA](https://www.localhealth.org.uk/#c=report&chapter=c01&report=r01&selgeo1=msoa_2011.E02003577&selgeo2=eng.E92000001) covers the city centre and dock areas which have had substantial new build since 2011 and so may have households inhabiting dwellings that did not exist at Census 2011. This is also supported by the considerably higher EPC derived energy demand data compared to BEIS's 2018 data - although it suggests the dwellings are either very new (since 2018) or are yet to be occupied.
-
-As we would expect those MSOAs with the lowest EPC coverage on both baseline measures tend to have higher proportions of owner occupiers.
-
-We can use the same approach to compare estimates of total energy demand at the MSOA level. To do this we compare:
-
- * estimated total energy demand in MWh/year derived from the EPC estimates. This energy only relates to `current primary energy` (space heating, hot water and lighting) and of course also suffers from missing EPCs (see above)
- * observed electricity and gas demand collated by BEIS for their sub-national statistical series. This applies to all domestic energy demand but the most recent data is for 2018 so will suffer from the absence of dwellings that are present in the most recent EPC data (see above).
+#outlier <- t[sumEpcMWh > 70000]
-We should therefore not expect the values to match but we might reasonably expect a correlation.
-
-```{r, energyMSOAPlot, fig.cap="Energy demand comparison"}
-ggplot2::ggplot(t, aes(x = sumEpcMWh,
- y = beisEnergyMWh,
- colour = round(ownerOcc_pc))) +
- geom_abline(alpha = 0.2, slope=1, intercept=0) +
- geom_point() +
- scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
- #theme(legend.position = "bottom") +
- labs(x = "EPC 2020 derived total MWh/year",
- y = "BEIS 2018 derived total MWh/year",
- caption = "x = y line included for clarity")
+msoaDT[, tCO2_diff_pc := 100 * ((sumBEIS_tCO2 - sumEPC_tCO2)/sumBEIS_tCO2)]
+message("Distribution of % difference from BEIS derived value")
+summary(msoaDT$tCO2_diff_pc)
-outlier <- t[sumEpcMWh > 70000]
```
-\@ref(fig:energyMSOAPlot) shows that both of these are true. MSOAs with a high proportion of owner occupiers (and therefore more likely to have missing EPCs) tend to have higher observed energy demand than the EOC data suggests - they are above the reference line. MSOAs with a lower proportion of owner occupiers (and therefore more likely to have more complete EPC coverage) tend to be on or below the line. As before we have the same notable outlier (`r outlier$MSOACode`) and for the same reasons... In this case this produces a much higher energy demand estimate than the BEIS 2018 data records
-
-## Check ENERGY_CONSUMPTION_CURRENT
-
-We recode the current energy consumption into categories for comparison with other low values and the presence of wind turbines/PV. We use -ve, 0 and 1 kWh as the thresholds of interest.
-
-
-```{r, checkEnergy, fig.cap="Histogram of ENERGY_CONSUMPTION_CURRENT"}
-
-ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = ENERGY_CONSUMPTION_CURRENT)) +
- geom_histogram(binwidth = 5) +
- facet_wrap(~TENURE) +
- geom_vline(xintercept = 0)
-
-underZero <- nrow(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0])
-
-t <- with(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0],
- table(BUILT_FORM,TENURE))
+Figure \@ref(fig:co2MSOAPlot) shows that the BEIS derived estimates are generally larger than the EPC derived totals (mean difference = `r round(mean(msoaDT$tCO2_diff_pc),1)`%) and in one case `r round(max(msoaDT$tCO2_diff_pc),1)`% larger.
+There are a number of potential reasons for this which are discussed in [more detail elsewhere](epcChecks.html#fig:energyMSOAPlot) but relate to:
-kableExtra::kable(t, caption = "Properties with ENERGY_CONSUMPTION_CURRENT < 0")
+ * inclusion of all energy use in the BEIS data (not just hot water, heating and lighting)
+ * incomplete coverage of dwellings by the EPC data
+ * dwellings missing from the BEIS 2018 data which are now present in the EPC data (new builds)
-# do we think this is caused by solar/wind?
-sotonUniqueEPCsDT[, hasWind := ifelse(WIND_TURBINE_COUNT > 0, "Yes", "No")]
-#table(sotonUniqueEPCsDT$hasWind)
-sotonUniqueEPCsDT[, hasPV := ifelse(PHOTO_SUPPLY >0, "Yes", "No")]
-#table(sotonUniqueEPCsDT$hasPV)
-sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT < 0, "-ve kWh/y", NA)]
-sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT == 0, "0 kWh/y", consFlag)]
-sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 0 &
- ENERGY_CONSUMPTION_CURRENT <= 1, "0-1 kWh/y", consFlag)]
-sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 1, "1+ kWh/y", consFlag)]
+```{r, sotonCO2}
+t <- msoaDT[, .(sumEPC_tCO2 = sum(sumEPC_tCO2),
+ sumBEIS_tCO2 = sum(sumBEIS_tCO2),
+ nMSOAs = .N), keyby = .(LAName)]
+t[, pc_diff := 100 * ((sumBEIS_tCO2 - sumEPC_tCO2)/sumBEIS_tCO2)]
-t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(consFlag, hasWind, hasPV)]
-
-kableExtra::kable(t, caption = "Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration")
-
-```
-
-There are only `r underZero` dwellings where ENERGY_CONSUMPTION_CURRENT < 0 and none of them seem to have PV or a wind turbine so we can probably ignore them.
-
-```{r, energyTenure, fig.cap="Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form"}
-# repeat with a density plot to allow easy overlap
-# exclude those with no data
-ggplot2::ggplot(sotonUniqueEPCsDT[TENURE != "NO DATA!" &
- TENURE != "unknown" &
- TENURE != ""], aes(x = ENERGY_CONSUMPTION_CURRENT,
- fill = TENURE, alpha = 0.2)) +
- geom_density() +
- facet_wrap(~BUILT_FORM) +
- guides(alpha = FALSE) +
- theme(legend.position = "bottom")
+kableExtra::kable(t, caption = "Total domestic energy related CO2 emissions for Southampton (tonnes)") %>%
+ kable_styling()
```
-## Check CO2_EMISSIONS_CURRENT
-
-Next we do the same for current emissions. Repeat the coding for total floor area using 0 and 1 TCO2/y as the threshold of interest.
-
-
-```{r, checkEmissions, fig.cap="Histogram of CO2_EMISSIONS_CURRENT"}
-ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = CO2_EMISSIONS_CURRENT)) +
- geom_histogram(binwidth = 1)
-
-nZeroEmissions <- nrow(sotonUniqueEPCsDT[CO2_EMISSIONS_CURRENT < 0])
-
-sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT < 0, "-ve CO2/y", NA)]
-sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT == 0, "0 CO2/y", emissionsFlag)]
-sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 0 &
- CO2_EMISSIONS_CURRENT <= 1, "0-1 TCO2/y", emissionsFlag)]
-sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 1, "1+ TCO2/y", emissionsFlag)]
+With this in mind the total t CO2e values shown in Table \@ref(tab:sotonCO2) shows the BEIS figures to be around 16% higher than those estimated using the EPC data. The figure of `r prettyNum(round(t$sumBEIS_tCO2), big.mark = ",")` is very close to that calculated via the [Southampton Green City Tracker](https://soton-uni.maps.arcgis.com/apps/opsdashboard/index.html#/c3041574a8794439a39045b7ee341cfa) for Domestic Carbon Emissions in 2018.
-t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(emissionsFlag, hasWind, hasPV)]
+# Carbon Tax Scenarios
-kableExtra::kable(t, caption = "Properties with CO2_EMISSIONS_CURRENT < 0 by presence of microgeneration")
+We now use these MSOA level estimates to calculate the tax liability of these emissions if:
-kableExtra::kable(round(100*(prop.table(table(sotonUniqueEPCsDT$emissionsFlag,
- sotonUniqueEPCsDT$consFlag,
- useNA = "always")
- )
- )
- ,2)
- , caption = "% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories")
+ * there is no change to carbon intensity - i.e. the current baseline. In this case we can use both the BEIS and EPC derived data although they will simply differ by the same % as reported above
+ * the carbon intensity of electricity falls to [100 gCO2/kWh](https://www.carbonintensity.org.uk/) by 2030 (an [entirely feasible level](https://www.nationalgrideso.com/future-energy/future-energy-scenarios/fes-2020-documents)) and we assume no changes to the carbon intensity of gas. In this case we can only use the BEIS data since we are unable to separate fuel source in the EPC data.
-```
+In all cases we assume:
-There are `r nZeroEmissions` properties with 0 or negative emissions. It looks like they are also the properties with -ve kWh as we might expect. So we can safely ignore them.
+ * no emissions allowances (unlike the ETS and also [current UK government proposals](https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/828824/Carbon_Emissions_Tax_-_Technical_Note__1_.pdf))
+ * [Carbon tax rate of £16/TCO2](https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/828824/Carbon_Emissions_Tax_-_Technical_Note__1_.pdf) (currently only proposed for [businesses](https://www.gov.uk/government/publications/changes-to-tax-provisions-for-carbon-emissions-tax/changes-to-tax-provisions-for-carbon-emissions-tax))
+ * no other behavioural or building fabric related changes (highly unlikely)
-## Check ENVIRONMENT_IMPACT_CURRENT
+## No change to carbon intensity
-`Environmental impact` should decrease as emissions increase.
+Applying these rates enables us to calculate the Southampton and MSOA level Carbon Tax liability of households via the EPC and BEIS observed energy consumption methods.
-```{r, checkImpact, fig.cap="Histogram of ENVIRONMENT_IMPACT_CURRENT"}
-ggplot2::ggplot(allEPCs_DT, aes(x = ENVIRONMENT_IMPACT_CURRENT)) +
- geom_histogram()
-```
+```{r, msoaScenario1}
+msoaDT[, ct_BEIS := sumBEIS_tCO2 * 16]
+msoaDT[, ct_EPCs := sumEPC_tCO2 * 16]
-So what is the relationship between ENVIRONMENT_IMPACT_CURRENT and CO2_EMISSIONS_CURRENT? It is not linear... (Figure \@ref(fig:checkEmissionsImpact)) and there are some interesting outliers.
+t <- msoaDT[, .(CarbonTaxBEIS_GBP = prettyNum(sum(ct_BEIS), big.mark = ","),
+ CarbonTaxEPCs_GBP = prettyNum(sum(ct_EPCs), big.mark = ",")),
+ keyby = .(LAName)]
-```{r, checkEmissionsImpact, fig.cap="PLot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT"}
+kableExtra::kable(t, caption = "Estimated baseline Carbon Tax liability for Southampton households/properties") %>%
+ kable_styling()
-ggplot2::ggplot(allEPCs_DT, aes(x = CO2_EMISSIONS_CURRENT,
- y = ENVIRONMENT_IMPACT_CURRENT,
- colour = TENURE)) +
- geom_point() +
- facet_wrap(TENURE~.) +
- theme(legend.position = "bottom")
+ct_perHH <- sum(msoaDT$ct_BEIS)/sum(msoaDT$nHHs_tenure)
```
-## Check TOTAL_FLOOR_AREA
-
-Repeat the coding for total floor area using 5 m2 as the threshold of interest.
-
-```{r, checkFloorArea, fig.cap="Histogram of TOTAL_FLOOR_AREA"}
-ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = TOTAL_FLOOR_AREA)) +
- geom_histogram(binwidth = 1)
-
-nZeroFloorArea <- nrow(sotonUniqueEPCsDT[TOTAL_FLOOR_AREA < 0])
-
-sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA == 0, "0 m2", NA)]
-sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 0 &
- TOTAL_FLOOR_AREA <= 10, "0-5 m2", floorFlag)]
-sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 10, "5+ m2", floorFlag)]
-
-t <- with(sotonUniqueEPCsDT, table(floorFlag, consFlag))
-
-kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")
-
-kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
- ENERGY_CONSUMPTION_CURRENT)][order(-TOTAL_FLOOR_AREA)], 10),
- caption = "Top 10 by floor area (largest)")
-
-kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
- ENERGY_CONSUMPTION_CURRENT)][order(TOTAL_FLOOR_AREA)], 10),
- caption = "Bottom 10 by floor area (smallest)")
-
-kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")
+As we would expect the values are relatively close due to the similar total emissions values estimated above. Using the BEIS estimate this works out to a mean of £`r round(ct_perHH,2)` per household per year. Not a lot. Would you try to de-carbonise your energy supply to try to reduce a Carbon Tax liability of that scale?
+```{r, councilTax}
+ct_perHH <- 102000000/sum(msoaDT$nHHs_tenure)
```
-\@ref(tab:checkEmissions) shows that the properties with floor area of < 10m2 are not necessarily the ones with 0 or negative kWh values. Nevertheless they represent a small proportion of all properties.
-
-The scale of the x axis also suggests a few very large properties.
+For context, Southampton City Council project a `Council Tax Requirement` of £102m in Council Tax in [2020-2021](https://www.southampton.gov.uk/council-tax/information/how-much-we-spend.aspx). That's a mean of ~ £ `r round(ct_perHH)` per household per year...
-## Data summary
+However, as we would expect given Figure \@ref(fig:co2MSOAPlot), if we look at the values by MSOA (Figure \@ref(fig:carbonTaxMSOAPlot)), we find that values differ quite substantially between the methods depending on the levels of EPC records (or missing households - see above) that we are likely to have.
-We have identified some issues with a small number of the properties in the EPC dataset. These are not unexpected given that much of the estimates rely on partial or presumed data. Data entry errors are also quite likely. As a result we exclude:
-
- * any property where ENERGY_CONSUMPTION_CURRENT <= 0
- * any property where TOTAL_FLOOR_AREA <= 5
- * any property where CO2_EMISSIONS_CURRENT <= 0
-
-```{r, finalData}
-finalDT <- sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT > 0 &
- TOTAL_FLOOR_AREA > 5 &
- CO2_EMISSIONS_CURRENT > 0]
+```{r, carbonTaxMSOAPlot, fig.cap="Energy demand comparison"}
+ggplot2::ggplot(msoaDT, aes(x = ct_EPCs/nHHs_tenure,
+ y = ct_BEIS/nHHs_tenure,
+ colour = round(ownerOcc_pc))) +
+ geom_abline(alpha = 0.2, slope=1, intercept=0) +
+ geom_point() +
+ scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
+ #theme(legend.position = "bottom") +
+ labs(x = "EPC 2020 derived total Carbon Tax £/household/year",
+ y = "BEIS 2018 derived total Carbon Tax £/household/year",
+ caption = "x = y line included for clarity")
-skimr::skim(finalDT)
+#outlier <- t[sumEpcMWh > 70000]
```
-This leaves us with a total of `r prettyNum(nrow(finalDT), big.mark = ",")` properties.
-`
-# Current estimated annual CO2 emmisions
+Perhaps of more interest however is the relationship between estimated Carbon Tax £ per household and levels of deprivation. Figure \@ref(fig:carbonTaxMSOAPlotDep) shows the estimated mean Carbon Tax per household (in £ per year using Census 2011 household counts) for each MSOA against the proportion of households in the MSOA who do not suffer from any dimension of deprivation as defined by the English [Indices of Multiple Deprivation](https://www.nomisweb.co.uk/census/2011/qs119ew). As we can see the higher the proportion of households with no deprivation, the higher the mean household Carbon Tax. This suggests that a Carbon Tax will be progressive - those who pay the most are likely to be those who use more energy and thus are likely to be those who can afford to do so. Interestingly the BEIS-derived estimates show a much stronger trend than the EPC data which relies solely on building fabric model-based estimates of carbon emissions.
-We can now use the cleaned data to estimated the annual CO2 emissions at:
+```{r, carbonTaxMSOAPlotDep, fig.cap="Carbon Tax comparison by MSOA deprivation levels"}
- * MSOA level for Southampton using
- * BEIS observed data
- * aggregated EPC data
- * Dwelling level for Southampton using
- * aggregated EPC data
-
-Obviously the EPC-derived totals will not be the total CO2 emissions for **all** Southampton properties since we know not all dwellings are represented in the EPC data (see above).
+epcBaseline <- msoaDT[, .(MSOACode, ctSum = ct_EPCs, nHHs_tenure, dep0_pc)]
+epcBaseline[, source := "EPCs 2020"]
+beisBaseline <- msoaDT[, .(MSOACode, ctSum = ct_BEIS, nHHs_tenure, dep0_pc)]
+beisBaseline[, source := "BEIS 2018"]
-## MSOA estimates
+plotDT <- rbind(epcBaseline,beisBaseline)
-Method:
+ggplot2::ggplot(plotDT, aes(x = dep0_pc, y = ctSum/nHHs_tenure, colour = source)) +
+ geom_point() +
+ geom_smooth() +
+ #theme(legend.position = "bottom") +
+ labs(x = "% with no deprivation dimensions \n(Census 2011)",
+ y = "Carbon Tax £/household/year",
+ caption = "Smoothed trend line via loess")
-```{r, setCarbonFactors, echo = TRUE}
-elecCF <- 200 # CO2e/kWh https://www.icax.co.uk/Grid_Carbon_Factors.html
-gasCF <- 215 # https://www.icax.co.uk/Carbon_Emissions_Calculator.html
+#outlier <- t[sumEpcMWh > 70000]
```
-BEIS: apply 2019 mean grid carbon intensity for:
- * electricity: `r elecCF` g
- * gas: `r gasCF` g CO2e/kWh
-EPC: use estimated CO2 values - note based on 'old' electricity grid carbon intensity values ()
-
-```{r, co2BEIS}
-sotonMSOA_DT[, sumBEIS_tCO2 := (beisElecMWh/1000)*elecCF + (beisGasMWh/1000)*gasCF]
-```
+But we need to be very careful. Some deprived households might well spend a high proportion of their income on energy in order to heat very energy efficient homes. For them, a Carbon Tax would be similar to VAT - an additional burden that might be relatively small in £ terms (compared to a well-off high energy-using household) but high in terms of the % of their income (or expenditure). This is a [well known issue](https://www.sciencedirect.com/science/article/pii/S0921800913000980) highlighted by recent [ONS data on family energy expenditures](https://twitter.com/dataknut/status/1312855327491133441/photo/1).
-```{r, co2MSOAPlot, fig.cap="Energy demand comparison"}
-ggplot2::ggplot(sotonMSOA_DT, aes(x = sumBEIS_tCO2,
- y = sumEPC_tCO2,
- colour = round(ownerOcc_pc))) +
- geom_abline(alpha = 0.2, slope=1, intercept=0) +
- geom_point() +
- scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
- #theme(legend.position = "bottom") +
- labs(x = "EPC 2020 derived total T CO2/year",
- y = "BEIS 2018 derived total T CO2/year",
- caption = "x = y line included for clarity")
+## Reducing electricity carbon intensity
-#outlier <- t[sumEpcMWh > 70000]
+```{r, elecScenario}
+elecCF_scen1 <- 100
```
-\@ref(fig:energyMSOAPlot) shows that
+Under this scenario we repeat the preceding analysis but use:
-# Carbon Tax Scenarios
+ * electricity: `r elecCF_scen1` g CO2e/kWh
+ * gas: `r gasCF` g CO2e/kWh
-## No change to carbon intensity
-* no emissions allowances (unlike the ETS and also [current UK government proposals](https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/828824/Carbon_Emissions_Tax_-_Technical_Note__1_.pdf))
-* [Carbon tax rate of £16/T](https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/828824/Carbon_Emissions_Tax_-_Technical_Note__1_.pdf) (currently only proposed for [businesses](https://www.gov.uk/government/publications/changes-to-tax-provisions-for-carbon-emissions-tax/changes-to-tax-provisions-for-carbon-emissions-tax))
+```{r, msoaScenario1Table}
-Applying these rates enables us to calculate the Southampton and MSOA level Carbon Tax liability of households via the EPC and BEIS observed energy consumption methods.
+msoaDT[, sumBEIS_gCO2_scen1 := (beisElecMWh*1000)*elecCF_scen1 + (beisGasMWh*1000)*gasCF] # calculate via g & kWh
+msoaDT[, sumBEIS_tCO2_scen1 := sumBEIS_gCO2_scen1/1000000] # tonnes
-```{r, msoaScenario1}
-sotonMSOA_DT[, ct_BEIS := sumBEIS_tCO2 * 16]
-sotonMSOA_DT[, ct_EPCs := sumEPC_tCO2 * 16]
+msoaDT[, ct_BEIS_scen1 := sumBEIS_tCO2_scen1 * 16]
-t <- sotonMSOA_DT[, .(CarbonTaxBEIS_GBP = prettyNum(sum(ct_BEIS), big.mark = ","),
- CarbonTaxEPCs_GBP = prettyNum(sum(ct_EPCs), big.mark = ",")),
+t <- msoaDT[, .(Baseline = sum(ct_BEIS),
+ Scenario_1 = sum(ct_BEIS_scen1)),
keyby = .(LAName)]
+t[, reduction_pc := round(100*(1-(Scenario_1/Baseline)))]
-kableExtra::kable(t, caption = "Estimated Carbon tax liability for Southampton households/properties under Scenario 1") %>%
+kableExtra::kable(t, caption = "Estimated Carbon Tax liability for Southampton households/properties under Scenario 1") %>%
kable_styling()
```
-As we would expect the values are relatively close due to the similar total emissions values estimated above.
+Table \@ref(tab:msoaScenario1) suggests this will result in a `r t[, reduction_pc]` % reduction in Carbon Tax.
-If we look at the values by MSOA (\@ref(fig:carbonTaxMSOAPlot)), we find that values differ quite substantially between the methods depending on the levels of EPC records (or missing households - see above) that we are likely to have.
+Figure \@ref(fig:carbonTaxMSOAPlotDepSecen1) shows the estimated mean annual Carbon Tax per household (£ per household per year) per MSOA under the new scenario against the proportion of households in the MSOA who do not suffer from any dimension of deprivation as defined by the English [Indices of Multiple Deprivation](https://www.nomisweb.co.uk/census/2011/qs119ew). It also shows the original BEIS baseline for comparison. As we can see the shapes of the curves are similar but with an overall reduction. There do not appear to be any particular advantages for areas with higher or lower deprivation levels.
-```{r, carbonTaxMSOAPlot, fig.cap="Energy demand comparison"}
-ggplot2::ggplot(sotonMSOA_DT, aes(x = ct_BEIS/1000,
- y = ct_EPCs/1000,
- colour = round(ownerOcc_pc))) +
- geom_abline(alpha = 0.2, slope=1, intercept=0) +
+```{r, carbonTaxMSOAPlotDepSecen1, fig.cap="Carbon tax by deprivation under Scenario 1"}
+
+scen1 <- msoaDT[, .(MSOACode, ctSum = ct_BEIS_scen1, dep0_pc,nHHs_tenure)]
+scen1[, source := "BEIS 2018 (Scenario 1)"]
+beisBaseline[, source := "BEIS 2018 (Baseline)"]
+plotDT <- rbind(beisBaseline, scen1)
+
+ggplot2::ggplot(plotDT, aes(x = dep0_pc, y = ctSum/nHHs_tenure, colour = source)) +
geom_point() +
- scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
+ geom_smooth() +
#theme(legend.position = "bottom") +
- labs(x = "EPC 2020 derived total Carbon Tax £k/year",
- y = "BEIS 2018 derived total Carbon Tax £k/year",
- caption = "x = y line included for clarity")
+ labs(x = "% with no deprivation dimensions \n(Census 2011)",
+ y = "Carbon Tax £/housheold/year")
#outlier <- t[sumEpcMWh > 70000]
```
-Perhaps of more interest however is the relationship between estimated Carbon Tax £ and levels of deprivation. Figure \@ref(fig:carbonTaxMSOAPlotDep) shows the estimated total Carbon Tax (in £k per year) per MSOA against the proportion of households in the MSOA who do not suffer from any dimension of deprivation as defined by the English [Indices of Multiple Deprivation](https://www.nomisweb.co.uk/census/2011/qs119ew). As we can see the higher the proportion of households with no deprivation, the higher the total MSOA Carbon Tax. This suggests that a Carbon Tax will be regressive - those who pay the most are likely to be those who use more energy and thus are likely to be those who can afford to do so.
-
-But we need to be very careful. Some deprived households might well spend a high proportion of their income on energy in order to heat very energy efficient homes. For them, a Carbon Tax would be similar to VAT - an additional burden that might be relatively small in £ terms (compared to a well-off high energy-using household) but high in terms of the % of their income (or expenditure). This is a well known issue highlighted by recent [ONS data on family energy expenditures](https://twitter.com/dataknut/status/1312855327491133441/photo/1).
+```{r, carbonTaxMSOAPlotDepChange, fig.cap="Carbon tax by deprivation under Scenario 1"}
-```{r, carbonTaxMSOAPlotDep, fig.cap="Energy demand comparison"}
+setkey(beisBaseline, MSOACode)
+setkey(scen1, MSOACode)
+plotDT <- beisBaseline[scen1]
+plotDT[, delta := i.ctSum-ctSum]
-t1 <- sotonMSOA_DT[, .(MSOACode, ctSum = ct_EPCs, dep0_pc)]
-t1[, source := "BEIS 2018"]
-t2 <- sotonMSOA_DT[, .(MSOACode, ctSum = ct_BEIS, dep0_pc)]
-t2[, source := "EPC 2020"]
-
-plotDT <- rbind(t1,t2)
-
-ggplot2::ggplot(plotDT, aes(x = dep0_pc, y = ctSum, colour = source)) +
+ggplot2::ggplot(plotDT, aes(x = dep0_pc, y = delta/nHHs_tenure)) +
geom_point() +
geom_smooth() +
#theme(legend.position = "bottom") +
labs(x = "% with no deprivation dimensions \n(Census 2011)",
- y = "Carbon Tax £k/year",
- caption = "x = y line included for clarity")
+ y = "Increase/decrease (-ve) in Carbon Tax £ per household/year")
+
+outlier <- plotDT[delta < -40000]
+outlier$MSOACode
-#outlier <- t[sumEpcMWh > 70000]
```
+However if we analyse the total change by MSOA (\@ref(fig:carbonTaxMSOAPlotDepChange)) we see that one area (`r outlier$MSOACode`) shows a marked reduction. We have seen this area before - it has the [highest electricity demand](epcChecks.html#5_Check_BEIS_data) so no surprises there.
-## National Grid’s Future Energy Scenarios:
+# So what?
+
+Several things are clear from these #backOfaFagPacket estimates:
+
+ * we need much better data
+ * if the data we have is in any way remotely robust then:
+ * a domestic Carbon Tax of £16/TCO2 is not going to produce a large incentive to de-carbonise
+ * given that larger and wealthier households use more energy, a fixed rate Carbon Tax might be progressive - but we need dwelling level analysis to confirm this
+ * but wealthier households would potentially have the capital to de-carbonise quicker
- * 2030 emissions level for electricity of 0.102 kgCO2/kWh
- * gas unchanged
-
-
# R packages used
* rmarkdown [@rmarkdown]
diff --git a/EPCsAndCarbon/epcChecks.Rmd b/EPCsAndCarbon/epcChecks.Rmd
new file mode 100644
index 0000000000000000000000000000000000000000..8bd0a3ac96b05ee5f21a765641b6ea186eead07d
--- /dev/null
+++ b/EPCsAndCarbon/epcChecks.Rmd
@@ -0,0 +1,637 @@
+---
+params:
+ subtitle: ""
+ title: ""
+ authors: ""
+title: '`r params$title`'
+subtitle: '`r params$subtitle`'
+author: '`r params$authors`'
+date: 'Last run at: `r Sys.time()`'
+output:
+ bookdown::html_document2:
+ self_contained: true
+ fig_caption: yes
+ code_folding: hide
+ number_sections: yes
+ toc: yes
+ toc_depth: 2
+ toc_float: TRUE
+ bookdown::pdf_document2:
+ fig_caption: yes
+ number_sections: yes
+ bookdown::word_document2:
+ fig_caption: yes
+ number_sections: yes
+ toc: yes
+ toc_depth: 2
+ fig_width: 5
+bibliography: '`r path.expand("~/github/dataknut/refs/refs.bib")`'
+always_allow_html: true
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE)
+
+library(data.table)
+library(ggplot2)
+library(kableExtra)
+library(readxl)
+```
+
+# Energy Performance Certificates (EPCs)
+
+Apart from a few exempted buildings, a dwelling must have an EPC when constructed, sold or let. This means that over time we will have an EPC for an increasing number of properties and we should _already_ have EPCs for all rented properties.
+
+EPCs are not necessarily up to date. For example if a property has not been sold or let since a major upgrade, the effects of that upgrade may not be visible in the data.
+
+Further reading:
+
+ * https://epc.opendatacommunities.org/docs/guidance#technical_notes
+ * https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure
+
+> check what feeds in automatically e.f. RHI installs etc
+
+We have to assume the data we have is the _current state of play_ for these dwellings.
+
+# Data loading
+
+Load the data for the area of interest - in this case the City of Southampton.
+
+```{r, loadSoton}
+df <- path.expand("~/data/EW_epc/domestic-E06000045-Southampton/certificates.csv")
+allEPCs_DT <- data.table::fread(df)
+```
+
+The EPC data file has `r nrow(allEPCs_DT)` records for Southampton and `r ncol(allEPCs_DT)` variables. We're not interested in all of these, we want:
+
+ * PROPERTY_TYPE: Describes the type of property such as House, Flat, Maisonette etc. This is the type differentiator for dwellings;
+ * BUILT_FORM: The building type of the Property e.g. Detached, Semi-Detached, Terrace etc. Together with the Property Type, the Build Form produces a structured description of the property;
+ * ENVIRONMENT_IMPACT_CURRENT: A measure of the property's current impact on the environment in terms of carbon dioxide (COâ‚‚) emissions. The higher the rating the lower the COâ‚‚ emissions. (COâ‚‚ emissions in tonnes / year) **NB this is a categorised scale calculated from CO2_EMISSIONS_CURRENT**;
+ * ENERGY_CONSUMPTION_CURRENT: Current estimated total energy consumption for the property in a 12 month period (**kWh/m2**). Displayed on EPC as the current primary energy use per square metre of floor area. **Nb: this covers heat and hot water (and lightng?)**
+ * CO2_EMISSIONS_CURRENT: COâ‚‚ emissions per year in tonnes/year **NB: this is calculated from the modelled kWh energy input using (possibly) outdated carbon intensity values**;
+ * TENURE: Describes the tenure type of the property. One of: Owner-occupied; Rented (social); Rented (private).
+
+ We're also going to keep:
+
+ * WIND_TURBINE_COUNT: Number of wind turbines; 0 if none;
+ * PHOTO_SUPPLY: Percentage of photovoltaic area as a percentage of total roof area. 0% indicates that a Photovoltaic Supply is not present in the property;
+ * TOTAL_FLOOR_AREA: The total useful floor area is the total of all enclosed spaces measured to the internal face of the external walls, i.e. the gross floor area as measured in accordance with the guidance issued from time to time by the Royal Institute of Chartered Surveyors or by a body replacing that institution. (m²) - to allow for the calculation of total energy demand;
+ * POSTCODE - to allow linkage to other datasets
+ * LOCAL_AUTHORITY_LABEL - for checking
+ * INSPECTION_DATE - so we can select the most receitn
+
+These may indicate 'non-grid' energy inputs.
+
+## Select most recent records
+
+If an EPC has been updated or refreshed, the EPC dataset will hold multiple EPC records for that property (see Table \@ref(tab:plotAllRecords)).
+
+```{r, plotAllRecords, fig.cap="All records: Inspection date"}
+ggplot2::ggplot(allEPCs_DT, aes(x = INSPECTION_DATE)) +
+ geom_histogram()
+
+t <- allEPCs_DT[, .(nRecords = .N,
+ firstDate = min(INSPECTION_DATE),
+ lastDate = max(INSPECTION_DATE)), keyby = .(BUILDING_REFERENCE_NUMBER)]
+
+kableExtra::kable(head(t[nRecords > 1]), cap = "Examples of multiple records")
+```
+Figure \@ref(fig:plotAllRecords) shows the inspection date of all EPC records. We want to just select the most recent as we are not currently interested in change over time.
+
+```{r, checkData}
+# select just these vars
+dt <- allEPCs_DT[, .(BUILDING_REFERENCE_NUMBER, LMK_KEY, LODGEMENT_DATE,INSPECTION_DATE, PROPERTY_TYPE, BUILT_FORM,
+ ENVIRONMENT_IMPACT_CURRENT, ENERGY_CONSUMPTION_CURRENT, CO2_EMISSIONS_CURRENT, TENURE,
+ PHOTO_SUPPLY, WIND_TURBINE_COUNT, TOTAL_FLOOR_AREA,
+ POSTCODE, LOCAL_AUTHORITY_LABEL)]
+
+# select most recent record within BUILDING_REFERENCE_NUMBER - how?
+# better check this is doing so
+setkey(dt,BUILDING_REFERENCE_NUMBER, INSPECTION_DATE) # sort by date within reference number
+sotonUniqueEPCsDT <- unique(dt, by = "BUILDING_REFERENCE_NUMBER",
+ fromLast = TRUE) # which one does it take?
+
+t <- sotonUniqueEPCsDT[, .(nRecords = .N,
+ firstDate = min(INSPECTION_DATE),
+ lastDate = max(INSPECTION_DATE)), keyby = .(BUILDING_REFERENCE_NUMBER)]
+
+t[, diff := firstDate - lastDate] # should be 0
+
+message("Check difference between min & max dates per record - should be 0")
+summary(t$diff)
+uniqueN(sotonUniqueEPCsDT$BUILDING_REFERENCE_NUMBER)
+```
+
+This leaves us with `r prettyNum(uniqueN(sotonUniqueEPCsDT$BUILDING_REFERENCE_NUMBER), big.mark = ",")` cases and Figure \@ref(fig:plotLatestRecords) shows the inspection date of the most recent records once we have selected them.
+
+```{r, plotLatestRecords, fig.cap="Latest records: Inspection date"}
+ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = INSPECTION_DATE)) +
+ geom_histogram()
+```
+
+## Descriptives
+
+Now check the distributions of the retained variables.
+
+```{r, testUniqueLatest}
+skimr::skim(sotonUniqueEPCsDT)
+```
+
+As we can see that we have `r uniqueN(dt$BUILDING_REFERENCE_NUMBER)` unique property reference numbers. We can also see some strangeness. In some cases we seem to have:
+
+ * negative energy consumption;
+ * negative emissions;
+ * 0 floor area
+
+This is not surprising since the kWh/y and TCO2/y values are estimated using a model but before we go any further we'd better check if these are significant in number.
+
+# EPC data checks
+
+## Check ENERGY_CONSUMPTION_CURRENT
+
+We recode the current energy consumption into categories for comparison with other low values and the presence of wind turbines/PV. We use -ve, 0 and 1 kWh as the thresholds of interest.
+
+```{r, checkEnergy, fig.cap="Histogram of ENERGY_CONSUMPTION_CURRENT"}
+
+ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = ENERGY_CONSUMPTION_CURRENT)) +
+ geom_histogram(binwidth = 5) +
+ facet_wrap(~TENURE) +
+ geom_vline(xintercept = 0)
+
+underZero <- nrow(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0])
+
+t <- with(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0],
+ table(BUILT_FORM,TENURE))
+
+
+kableExtra::kable(t, caption = "Properties with ENERGY_CONSUMPTION_CURRENT < 0")
+
+# do we think this is caused by solar/wind?
+sotonUniqueEPCsDT[, hasWind := ifelse(WIND_TURBINE_COUNT > 0, "Yes", "No")]
+#table(sotonUniqueEPCsDT$hasWind)
+sotonUniqueEPCsDT[, hasPV := ifelse(PHOTO_SUPPLY >0, "Yes", "No")]
+#table(sotonUniqueEPCsDT$hasPV)
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT < 0, "-ve kWh/y", NA)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT == 0, "0 kWh/y", consFlag)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 0 &
+ ENERGY_CONSUMPTION_CURRENT <= 1, "0-1 kWh/y", consFlag)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 1, "1+ kWh/y", consFlag)]
+
+t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(consFlag, hasWind, hasPV)]
+
+kableExtra::kable(t, caption = "Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration")
+
+```
+
+There are only `r underZero` dwellings where ENERGY_CONSUMPTION_CURRENT < 0 and none of them seem to have PV or a wind turbine so we can probably ignore them.
+
+```{r, energyTenure, fig.cap="Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form"}
+# repeat with a density plot to allow easy overlap
+# exclude those with no data
+ggplot2::ggplot(sotonUniqueEPCsDT[TENURE != "NO DATA!" &
+ TENURE != "unknown" &
+ TENURE != ""], aes(x = ENERGY_CONSUMPTION_CURRENT,
+ fill = TENURE, alpha = 0.2)) +
+ geom_density() +
+ facet_wrap(~BUILT_FORM) +
+ guides(alpha = FALSE) +
+ theme(legend.position = "bottom")
+```
+
+## Check CO2_EMISSIONS_CURRENT
+
+Next we do the same for current emissions. Repeat the coding for total floor area using 0 and 1 TCO2/y as the threshold of interest.
+
+
+```{r, checkEmissions, fig.cap="Histogram of CO2_EMISSIONS_CURRENT"}
+ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = CO2_EMISSIONS_CURRENT)) +
+ geom_histogram(binwidth = 1)
+
+nZeroEmissions <- nrow(sotonUniqueEPCsDT[CO2_EMISSIONS_CURRENT < 0])
+
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT < 0, "-ve CO2/y", NA)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT == 0, "0 CO2/y", emissionsFlag)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 0 &
+ CO2_EMISSIONS_CURRENT <= 1, "0-1 TCO2/y", emissionsFlag)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 1, "1+ TCO2/y", emissionsFlag)]
+
+t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(emissionsFlag, hasWind, hasPV)]
+
+kableExtra::kable(t, caption = "Properties with CO2_EMISSIONS_CURRENT < 0 by presence of microgeneration")
+
+kableExtra::kable(round(100*(prop.table(table(sotonUniqueEPCsDT$emissionsFlag,
+ sotonUniqueEPCsDT$consFlag,
+ useNA = "always")
+ )
+ )
+ ,2)
+ , caption = "% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories")
+
+```
+
+There are `r nZeroEmissions` properties with 0 or negative emissions. It looks like they are also the properties with -ve kWh as we might expect. So we can safely ignore them.
+
+## Check ENVIRONMENT_IMPACT_CURRENT
+
+`Environmental impact` should decrease as emissions increase.
+
+```{r, checkImpact, fig.cap="Histogram of ENVIRONMENT_IMPACT_CURRENT"}
+ggplot2::ggplot(allEPCs_DT, aes(x = ENVIRONMENT_IMPACT_CURRENT)) +
+ geom_histogram()
+```
+
+So what is the relationship between ENVIRONMENT_IMPACT_CURRENT and CO2_EMISSIONS_CURRENT? It is not linear... (Figure \@ref(fig:checkEmissionsImpact)) and there are some interesting outliers.
+
+```{r, checkEmissionsImpact, fig.cap="Plot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT"}
+
+ggplot2::ggplot(allEPCs_DT, aes(x = CO2_EMISSIONS_CURRENT,
+ y = ENVIRONMENT_IMPACT_CURRENT,
+ colour = TENURE)) +
+ geom_point() +
+ facet_wrap(TENURE~.) +
+ theme(legend.position = "bottom")
+```
+
+## Check TOTAL_FLOOR_AREA
+
+Repeat the coding for total floor area using 5 m2 as the threshold of interest.
+
+```{r, checkFloorArea, fig.cap="Histogram of TOTAL_FLOOR_AREA"}
+ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = TOTAL_FLOOR_AREA)) +
+ geom_histogram(binwidth = 1)
+
+nZeroFloorArea <- nrow(sotonUniqueEPCsDT[TOTAL_FLOOR_AREA < 0])
+
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA == 0, "0 m2", NA)]
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 0 &
+ TOTAL_FLOOR_AREA <= 10, "0-5 m2", floorFlag)]
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 10, "5+ m2", floorFlag)]
+
+t <- with(sotonUniqueEPCsDT, table(floorFlag, consFlag))
+
+kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")
+
+kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
+ ENERGY_CONSUMPTION_CURRENT)][order(-TOTAL_FLOOR_AREA)], 10),
+ caption = "Top 10 by floor area (largest)")
+
+kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
+ ENERGY_CONSUMPTION_CURRENT)][order(TOTAL_FLOOR_AREA)], 10),
+ caption = "Bottom 10 by floor area (smallest)")
+
+kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")
+
+```
+
+Table \@ref(tab:checkEmissions) shows that the properties with floor area of < 10m2 are not necessarily the ones with 0 or negative kWh values. Nevertheless they represent a small proportion of all properties.
+
+The scale of the x axis also suggests a few very large properties.
+
+## Data summary
+
+We have identified some issues with a small number of the properties in the EPC dataset. These are not unexpected given that much of the estimates rely on partial or presumed data. Data entry errors are also quite likely. As a result we exclude:
+
+ * any property where ENERGY_CONSUMPTION_CURRENT <= 0
+ * any property where TOTAL_FLOOR_AREA <= 5
+ * any property where CO2_EMISSIONS_CURRENT <= 0
+
+```{r, finalData}
+finalEPCDT <- sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT > 0 &
+ TOTAL_FLOOR_AREA > 5 &
+ CO2_EMISSIONS_CURRENT > 0]
+
+skimr::skim(finalEPCDT)
+```
+
+This leaves us with a total of `r prettyNum(nrow(finalEPCDT), big.mark = ",")` properties.
+
+```{r, saveFinalData}
+of <- path.expand("~/data/EW_epc/domestic-E06000045-Southampton/finalClean.csv")
+data.table::fwrite(finalEPCDT, file = of)
+
+message("Gziping ", of)
+# Gzip it
+# in case it fails (it will on windows - you will be left with a .csv file)
+try(system( paste0("gzip -f '", of,"'"))) # include ' or it breaks on spaces
+message("Gzipped ", of)
+
+```
+
+
+# Check 'missing' EPC rates
+
+We know that we do not have EPC records for every dwelling. But how many are we missing? We will check this at MSOA level as it allows us to link to other MSOA level datasets that tell us how many households, dwellings or energy meters to expect. Arguably it would be better to do this at LSOA level but...
+
+First we'll use the BEIS 2018 MSOA level annual electricity data to estimate the number of meters (not properties) - some addresses can have 2 meters (e.g. standard & economy 7). This is more useful than the number of gas meters since not all dwellings have mains gas but all have an electricity meter.
+
+```{r, checkBEIS}
+beisElecDT <- data.table::fread("~/data/beis/MSOA_DOM_ELEC_csv/MSOA_ELEC_2018.csv")
+sotonElecDT <- beisElecDT[LAName %like% "Southampton", .(nElecMeters = METERS,
+ beisElecMWh = KWH/1000,
+ MSOACode, LAName)
+ ]
+
+
+beisGasDT <- data.table::fread("~/data/beis/MSOA_DOM_GAS_csv/MSOA_GAS_2018.csv")
+sotonGasDT <- beisGasDT[LAName %like% "Southampton", .(nGasMeters = METERS,
+ beisGasMWh = KWH/1000,
+ MSOACode)]
+
+setkey(sotonElecDT, MSOACode)
+setkey(sotonGasDT, MSOACode)
+sotonEnergyDT <- sotonGasDT[sotonElecDT]
+sotonEnergyDT[, beisEnergyMWh := beisElecMWh + beisGasMWh]
+#head(sotonEnergyDT)
+```
+
+Next we'll check for the number of households reported by the 2011 Census.
+
+> would be better to use dwellings but this gives us tenure
+
+```{r, checkCensus}
+#censusDT <- data.table::fread(path.expand("~/data/"))
+# IMD ----
+deprivationDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_deprivation.csv"))
+deprivationDT[, totalHouseholds := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+deprivationDT[, MSOACode := `geography code`]
+setkey(deprivationDT, MSOACode)
+setkey(sotonElecDT, MSOACode)
+# link LA name from Soton elec for now
+sotonDep_DT <- deprivationDT[sotonElecDT[, .(MSOACode, LAName)]]
+sotonDep_DT[, nHHs_deprivation := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+
+#sotonDep_DT[, .(nHouseholds = sum(totalHouseholds)), keyby = .(LAName)]
+
+# census tenure ----
+sotonTenureDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_householdTenure_Soton.csv"))
+
+sotonTenureDT[, census2011_socialRent := `Tenure: Social rented; measures: Value`]
+sotonTenureDT[, census2011_privateRent := `Tenure: Private rented; measures: Value`]
+sotonTenureDT[, census2011_ownerOccupy := `Tenure: Owned; measures: Value`]
+sotonTenureDT[, census2011_other := `Tenure: Living rent free; measures: Value`]
+sotonTenureDT[, MSOACode := `geography code`]
+
+sotonTenureDT[, hhCheck := census2011_socialRent + census2011_privateRent + census2011_ownerOccupy + census2011_other]
+sotonTenureDT[, nHHs_tenure := `Tenure: All households; measures: Value`]
+
+# summary(sotonTenureDT[, .(hhCheck, nHHs_tenure)])
+# might not quite match due to cell perturbation etc?
+
+# join em ----
+setkey(sotonDep_DT, MSOACode)
+setkey(sotonTenureDT, MSOACode)
+
+sotonCensus2011_DT <- sotonTenureDT[sotonDep_DT]
+
+t <- sotonCensus2011_DT[, .(sum_Deprivation = sum(nHHs_deprivation),
+ sum_Tenure = sum(nHHs_tenure)), keyby = .(LAName)]
+kableExtra::kable(t, caption = "Census derived household counts")
+```
+
+That's lower (as expected) but doesn't allow for dwellings that were empty on census night.
+
+```{r, checkPostcodes}
+# Postcodes don't help - no count of addresses in the data (there used to be??)
+# but we can use it to check which Soton postcodes are missing from the EPC file
+soPostcodesDT <- data.table::fread(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Data/multi_csv/NSPL_AUG_2020_UK_SO.csv"))
+
+soPostcodesDT <- soPostcodesDT[is.na(doterm)] # keep current
+
+sotonPostcodesDT <- soPostcodesDT[laua == "E06000045"] # keep Southampton City
+
+sotonPostcodesReducedDT <- sotonPostcodesDT[, .(pcd, pcd2, pcds, laua, msoa11, lsoa11)]
+
+sotonPostcodesReducedDT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(pcds,
+ split = " "
+ )
+ ]
+sotonPostcodesReducedDT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
+```
+We should not have single digit postcodes in the postcode data - i.e. S01 should not be there (since 1993). Southampton City is unusual in only having [double digit postcodes](https://en.wikipedia.org/wiki/SO_postcode_area).
+
+```{r, aggregateEPCsToPostcodes}
+# EPC
+# set up counters
+# use final cleaned EPC data
+finalEPCDT[, epcIsSocialRent := ifelse(TENURE == "rental (social)", 1, 0)]
+finalEPCDT[, epcIsPrivateRent := ifelse(TENURE == "rental (private)", 1, 0)]
+finalEPCDT[, epcIsOwnerOcc := ifelse(TENURE == "owner-occupied", 1, 0)]
+finalEPCDT[, epcIsUnknownTenure := ifelse(TENURE == "NO DATA!" |
+ TENURE == "" , 1, 0)]
+# aggregate EPCs to postcodes
+sotonEpcPostcodes_DT <- finalEPCDT[, .(nEPCs = .N,
+ sumEPC_tCO2 = sum(CO2_EMISSIONS_CURRENT, na.rm = TRUE),
+ n_epcIsSocialRent = sum(epcIsSocialRent, na.rm = TRUE),
+ n_epcIsPrivateRent = sum(epcIsPrivateRent, na.rm = TRUE),
+ n_epcIsOwnerOcc = sum(epcIsOwnerOcc, na.rm = TRUE),
+ n_epcIsUnknownTenure = sum(epcIsUnknownTenure, na.rm = TRUE),
+ sumEpcMWh = sum(ENERGY_CONSUMPTION_CURRENT* TOTAL_FLOOR_AREA)/1000), # crucial as ENERGY_CONSUMPTION_CURRENT = kWh/m2
+ keyby = .(POSTCODE, LOCAL_AUTHORITY_LABEL)]
+
+sotonEpcPostcodes_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE,
+ split = " "
+ )
+ ]
+sotonEpcPostcodes_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
+
+# check original EPC data for Soton - which postcodes are covered?
+allEPCs_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE,
+ split = " "
+ )
+ ]
+allEPCs_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
+```
+It looks like we have EPCs for each postcode sector which is good.
+
+
+```{r, matchPostcodesToEPCPostcodes}
+# match the EPC postcode summaries to the postcode extract
+sotonPostcodesReducedDT[, POSTCODE_s := stringr::str_remove(pcds, " ")]
+setkey(sotonPostcodesReducedDT, POSTCODE_s)
+sotonPostcodesReducedDT[, MSOACode := msoa11]
+message("Number of postcodes: ",uniqueN(sotonPostcodesReducedDT$POSTCODE_s))
+
+sotonEpcPostcodes_DT[, POSTCODE_s := stringr::str_remove(POSTCODE, " ")]
+setkey(sotonEpcPostcodes_DT, POSTCODE_s)
+message("Number of postcodes with EPCs: ",uniqueN(sotonEpcPostcodes_DT$POSTCODE_s))
+
+dt <- sotonEpcPostcodes_DT[sotonPostcodesReducedDT]
+
+# aggregate to MSOA - watch for NAs where no EPCs in a given postcode
+sotonEpcMSOA_DT <- dt[, .(nEPCs = sum(nEPCs, na.rm = TRUE),
+ sumEPC_tCO2 = sum(sumEPC_tCO2, na.rm = TRUE),
+ n_epcIsSocialRent = sum(n_epcIsSocialRent, na.rm = TRUE),
+ n_epcIsPrivateRent = sum(n_epcIsPrivateRent, na.rm = TRUE),
+ n_epcIsOwnerOcc = sum(n_epcIsOwnerOcc, na.rm = TRUE),
+ n_epcIsUnknownTenure = sum(n_epcIsUnknownTenure, na.rm = TRUE),
+ sumEpcMWh = sum(sumEpcMWh, na.rm = TRUE)
+ ),
+ keyby = .(MSOACode) # change name on the fly for easier matching
+ ]
+
+#summary(sotonEpcMSOA_DT)
+```
+
+So we have some postcodes with no EPCs.
+
+Join the estimates together at MSOA level for comparison. There are `r uniqueN(sotonElecDT$MSOACode)` MSOAs in Southampton.
+
+
+```{r, joinMSOA}
+# 32 LSOAs in Soton
+# add deprivation
+setkey(sotonEnergyDT, MSOACode)
+setkey(sotonCensus2011_DT, MSOACode)
+setkey(sotonEpcMSOA_DT, MSOACode)
+
+sotonMSOA_DT <- sotonCensus2011_DT[sotonEnergyDT]
+#names(sotonMSOA_DT)
+sotonMSOA_DT <- sotonEpcMSOA_DT[sotonMSOA_DT]
+#names(sotonMSOA_DT)
+
+# add MSOA names from the postcode LUT
+
+msoaNamesDT <- data.table::as.data.table(readxl::read_xlsx(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Documents/MSOA (2011) names and codes UK as at 12_12.xlsx")))
+msoaNamesDT[, MSOACode := MSOA11CD]
+msoaNamesDT[, MSOAName := MSOA11NM]
+setkey(msoaNamesDT, MSOACode)
+
+sotonMSOA_DT <- msoaNamesDT[sotonMSOA_DT]
+
+#names(sotonMSOA_DT)
+```
+
+```{r, compareEpcEstimates}
+t <- sotonMSOA_DT[, .(nHouseholds_2011 = sum(nHHs_tenure),
+ nElecMeters_2018 = sum(nElecMeters),
+ nEPCs_2020 = sum(nEPCs)), keyby = .(LAName)]
+
+kableExtra::kable(t, caption = "Comparison of different estimates of the number of dwellings") %>%
+ kable_styling()
+
+nHouseholds_2011f <- sum(sotonMSOA_DT$nHHs_tenure)
+nElecMeters_2018f <- sum(sotonMSOA_DT$nElecMeters)
+nEPCs_2020f <- sum(sotonMSOA_DT$nEPCs)
+
+makePC <- function(x,y,r){
+ # make a percent of x/y and round it to r decimal places
+ pc <- round(100*(x/y),r)
+ return(pc)
+}
+
+```
+
+From this we calculate that number of EPCs we have is:
+
+ * `r makePC(nEPCs_2020f,nHouseholds_2011f,1)`% of Census 2011 households
+ * `r makePC(nEPCs_2020f,nElecMeters_2018f,1)`% of the recorded 2018 electricity meters
+
+We can also see that despite having 'missing' EPCs, the estimated total EPC-derived energy demand is marginally higher than the BEIS-derived weather corrected energy demand data. Given that the BEIS data accounts for all heating, cooking, hot water, lighting and appliance use we would expect the EPC data to be lower _even if no EPCs were missing..._
+
+```{r, missingEPCbyMSOA, fig.cap="% 'missing' rates comparison"}
+
+sotonMSOA_DT[, dep0_pc := 100*(`Household Deprivation: Household is not deprived in any dimension; measures: Value`/nHHs_deprivation)]
+sotonMSOA_DT[, socRent_pc := 100*(census2011_socialRent/nHHs_tenure)]
+sotonMSOA_DT[, privRent_pc := 100*(census2011_privateRent/nHHs_tenure)]
+sotonMSOA_DT[, ownerOcc_pc := 100*(census2011_ownerOccupy/nHHs_tenure)]
+
+t <- sotonMSOA_DT[, .(MSOAName, MSOACode, nHHs_tenure,nElecMeters,nEPCs,
+ dep0_pc, socRent_pc, privRent_pc, ownerOcc_pc,sumEpcMWh, beisEnergyMWh )]
+
+t[, pc_missingHH := makePC(nEPCs,nHHs_tenure,1)]
+t[, pc_missingMeters := makePC(nEPCs,nElecMeters,1)]
+t[, pc_energyBEIS := makePC(sumEpcMWh,beisEnergyMWh,1)]
+
+kt1 <- t
+
+ggplot2::ggplot(t, aes(x = pc_missingHH,
+ y = pc_missingMeters,
+ colour = round(ownerOcc_pc))) +
+ geom_abline(alpha = 0.2, slope=1, intercept=0) +
+ geom_point() +
+ scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
+ #theme(legend.position = "bottom") +
+ labs(x = "EPCs 2020 as % of Census 2011 households",
+ y = "EPCs 2020 as % of electricity meters 2018",
+ caption = "x = y line included for clarity")
+
+outlierMSOA <- t[pc_missingHH > 100]
+```
+Figure \@ref(fig:missingEPCbyMSOA) (see Table \@ref(tab:bigMSOATable) below for details) suggests that rates vary considerably by MSOA but are relatively consistent across the two baseline 'truth' estimates with the exception of `r outlierMSOA$MSOACode` which appears to have many more EPCs than Census 2011 households. It is worth noting that [this MSOA](https://www.localhealth.org.uk/#c=report&chapter=c01&report=r01&selgeo1=msoa_2011.E02003577&selgeo2=eng.E92000001) covers the city centre and dock areas which have had substantial new build since 2011 and so may have households inhabiting dwellings that did not exist at Census 2011. This is also supported by the considerably higher EPC derived energy demand data compared to BEIS's 2018 data - although it suggests the dwellings are either very new (since 2018) or are yet to be occupied.
+
+As we would expect those MSOAs with the lowest EPC coverage on both baseline measures tend to have higher proportions of owner occupiers.
+
+We can use the same approach to compare estimates of total energy demand at the MSOA level. To do this we compare:
+
+ * estimated total energy demand in MWh/year derived from the EPC estimates. This energy only relates to `current primary energy` (space heating, hot water and lighting) and of course also suffers from missing EPCs (see above)
+ * observed electricity and gas demand collated by BEIS for their sub-national statistical series. This applies to all domestic energy demand but the most recent data is for 2018 so will suffer from the absence of dwellings that are present in the most recent EPC data (see above).
+
+We should therefore not expect the values to match but we might reasonably expect a correlation.
+
+```{r, energyMSOAPlot, fig.cap="Energy demand comparison"}
+ggplot2::ggplot(t, aes(x = sumEpcMWh,
+ y = beisEnergyMWh,
+ colour = round(ownerOcc_pc))) +
+ geom_abline(alpha = 0.2, slope=1, intercept=0) +
+ geom_point() +
+ scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
+ #theme(legend.position = "bottom") +
+ labs(x = "EPC 2020 derived total MWh/year",
+ y = "BEIS 2018 derived total MWh/year",
+ caption = "x = y line included for clarity")
+
+outlier <- t[sumEpcMWh > 70000]
+```
+
+Figure \@ref(fig:energyMSOAPlot) shows that both of these are true. MSOAs with a high proportion of owner occupiers (and therefore more likely to have missing EPCs) tend to have higher observed energy demand than the EOC data suggests - they are above the reference line. MSOAs with a lower proportion of owner occupiers (and therefore more likely to have more complete EPC coverage) tend to be on or below the line. As before we have the same notable outlier (`r outlier$MSOACode`) and for the same reasons... In this case this produces a much higher energy demand estimate than the BEIS 2018 data records.
+
+# Check BEIS data
+
+While we're here we'll also check the BEIS data. Table \@ref(tab:beisDesc) shows the five highest and lowest MSOAs by annual electricity use.
+
+```{r, beisDesc}
+t1 <- head(sotonMSOA_DT[, .(MSOA11NM, MSOA11CD, beisElecMWh, nElecMeters,
+ beisGasMWh, nGasMeters)][order(-beisElecMWh)],5)
+
+kableExtra::kable(t1, caption = "Southampton MSOAs: BEIS 2018 energy data ordered by highest electricity (top 5)") %>%
+ kable_styling()
+
+t2 <- tail(sotonMSOA_DT[, .(MSOA11NM, MSOA11CD, beisElecMWh, nElecMeters,
+ beisGasMWh, nGasMeters)][order(-beisElecMWh)],5)
+
+kableExtra::kable(t2, caption = "Southampton MSOAs: BEIS 2018 energy data ordered by lowest electricity (bottom 5)") %>%
+ kable_styling()
+```
+
+
+# Save MSOA aggregates for re-use
+
+Finally we save the MSOA table into the repo data directory for future use. We don't usually advocate keeping data in a git repo but this is small, aggregated and [mostly harmless](https://en.wikipedia.org/wiki/Mostly_Harmless).
+
+```{r, saveMSOA}
+of <- here::here("data", "sotonMSOAdata.csv")
+
+data.table::fwrite(sotonMSOA_DT, of)
+message("Saved ", nrow(sotonMSOA_DT), " rows of data.")
+```
+
+# R packages used
+
+ * rmarkdown [@rmarkdown]
+ * bookdown [@bookdown]
+ * knitr [@knitr]
+ * data.table [@data.table]
+ * ggplot2 [@ggplot2]
+ * kableExtra [@kableExtra]
+ * readxl [@readxl]
+
+# Annex
+
+## Tables
+
+```{r, bigMSOATable}
+kableExtra::kable(kt1[order(-pc_missingHH)], digits = 2, caption = "EPC records as a % of n census households and n meters per MSOA") %>%
+ kable_styling()
+```
+
+# References
diff --git a/EPCsAndCarbon/makeFile.R b/EPCsAndCarbon/makeFile.R
index 697f9e333cdacf268741b30f5a4268617338717f..eb0c68e02a3c11c4c5a235aca6b1b04d130eed2c 100644
--- a/EPCsAndCarbon/makeFile.R
+++ b/EPCsAndCarbon/makeFile.R
@@ -7,19 +7,26 @@ makeReport <- function(f){
output_file = paste0(here::here("docs/"), f, ".html")
)
# word
- rmarkdown::render(input = paste0(here::here("EPCsAndCarbon", f), ".Rmd"),
- params = list(title = title,
- subtitle = subtitle,
- authors = authors),
- output_file = paste0(here::here("docs/"), f, ".docx"),
- output_format = "word_document"
- )
+ # rmarkdown::render(input = paste0(here::here("EPCsAndCarbon", f), ".Rmd"),
+ # params = list(title = title,
+ # subtitle = subtitle,
+ # authors = authors),
+ # output_file = paste0(here::here("docs/"), f, ".docx"),
+ # output_format = "word_document"
+ # )
}
# >> run report ----
+rmdFile <- "epcChecks" # not the full path
+title = "Checking EPC datasets for Southampton"
+subtitle = "Data cleaning, outlier checks and coverage analysis"
+authors = "Ben Anderson"
+
+makeReport(rmdFile)
+
rmdFile <- "carbonCosts" # not the full path
-title = "What can EPC data tell us about the domestic cost of carbon?"
-subtitle = ""
+title = "Exploring #backOfaFagPacket scenarios for a residential dwellings Carbon Tax"
+subtitle = "Southampton as a case study"
authors = "Ben Anderson"
makeReport(rmdFile)
\ No newline at end of file
diff --git a/data/sotonMSOAdata.csv b/data/sotonMSOAdata.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cbac7c50a96a728f02f12ceb12bf301ce41be55f
--- /dev/null
+++ b/data/sotonMSOAdata.csv
@@ -0,0 +1,33 @@
+MSOA11CD,MSOA11NM,MSOACode,MSOAName,nEPCs,sumEPC_tCO2,n_epcIsSocialRent,n_epcIsPrivateRent,n_epcIsOwnerOcc,n_epcIsUnknownTenure,sumEpcMWh,date,geography,geography code,Rural Urban,Tenure: All households; measures: Value,Tenure: Owned; measures: Value,Tenure: Owned: Owned outright; measures: Value,Tenure: Owned: Owned with a mortgage or loan; measures: Value,Tenure: Shared ownership (part owned and part rented); measures: Value,Tenure: Social rented; measures: Value,Tenure: Social rented: Rented from council (Local Authority); measures: Value,Tenure: Social rented: Other; measures: Value,Tenure: Private rented; measures: Value,Tenure: Private rented: Private landlord or letting agency; measures: Value,Tenure: Private rented: Other; measures: Value,Tenure: Living rent free; measures: Value,census2011_socialRent,census2011_privateRent,census2011_ownerOccupy,census2011_other,hhCheck,nHHs_tenure,i.date,i.geography,i.geography code,i.Rural Urban,Household Deprivation: All categories: Classification of household deprivation; measures: Value,Household Deprivation: Household is not deprived in any dimension; measures: Value,Household Deprivation: Household is deprived in 1 dimension; measures: Value,Household Deprivation: Household is deprived in 2 dimensions; measures: Value,Household Deprivation: Household is deprived in 3 dimensions; measures: Value,Household Deprivation: Household is deprived in 4 dimensions; measures: Value,totalHouseholds,LAName,nHHs_deprivation,nGasMeters,beisGasMWh,nElecMeters,beisElecMWh,i.LAName,beisEnergyMWh,dep0_pc,socRent_pc,privRent_pc,ownerOcc_pc
+E02003549,Southampton 001,E02003549,Southampton 001,1737,7361.5,156,502,966,49,41619.533339,2011,Southampton 001,E02003549,Total,2849,1768,920,848,19,320,234,86,714,569,145,28,320,714,1768,28,2830,2849,2011,Southampton 001,E02003549,Total,2849,1492,937,349,66,5,2849,Southampton,2849,2557,38480.92752,2832,11196.00524,Southampton,49676.93276,52.3692523692524,11.2320112320112,25.0614250614251,62.0568620568621
+E02003550,Southampton 002,E02003550,Southampton 002,1923,6430,425,288,1093,79,36493.872299,2011,Southampton 002,E02003550,Total,3216,2125,866,1259,38,677,527,150,355,321,34,21,677,355,2125,21,3178,3216,2011,Southampton 002,E02003550,Total,3216,1386,1059,585,169,17,3216,Southampton,3216,2876,28049.7336,3527,13074.44004,Southampton,41124.17364,43.0970149253731,21.0509950248756,11.0385572139303,66.0758706467662
+E02003551,Southampton 003,E02003551,Southampton 003,1445,4763,587,274,512,36,27436.578892,2011,Southampton 003,E02003551,Total,2256,969,445,524,38,879,290,589,345,300,45,25,879,345,969,25,2218,2256,2011,Southampton 003,E02003551,Total,2256,760,767,519,187,23,2256,Southampton,2256,1649,17358.86876,2446,8957.742376,Southampton,26316.611136,33.6879432624114,38.9627659574468,15.2925531914894,42.9521276595745
+E02003552,Southampton 004,E02003552,Southampton 004,1653,5254.3,771,182,644,4,30104.336464,2011,Southampton 004,E02003552,Total,2646,1084,339,745,17,1256,1056,200,245,217,28,44,1256,245,1084,44,2629,2646,2011,Southampton 004,E02003552,Total,2646,744,847,775,262,18,2646,Southampton,2646,2009,17667.11557,2809,10383.88947,Southampton,28051.00504,28.1179138321996,47.4678760393046,9.25925925925926,40.9674981103553
+E02003553,Southampton 005,E02003553,Southampton 005,1686,5646,290,820,482,41,31930.489821,2011,Southampton 005,E02003553,Total,2394,766,361,405,20,609,528,81,964,917,47,35,609,964,766,35,2374,2394,2011,Southampton 005,E02003553,Total,2394,934,789,476,167,28,2394,Southampton,2394,2303,24996.91283,2464,8479.992667,Southampton,33476.905497,39.0142021720969,25.4385964912281,40.2673350041771,31.9966583124478
+E02003554,Southampton 006,E02003554,Southampton 006,1683,6261.2,249,455,892,43,35573.157615,2011,Southampton 006,E02003554,Total,2646,1667,868,799,11,385,309,76,557,520,37,26,385,557,1667,26,2635,2646,2011,Southampton 006,E02003554,Total,2646,1230,857,457,93,9,2646,Southampton,2646,2378,29664.70715,2873,10048.0605,Southampton,39712.76765,46.4852607709751,14.5502645502646,21.0506424792139,63.0007558578987
+E02003555,Southampton 007,E02003555,Southampton 007,2258,6179.8,540,244,1084,130,35186.085286,2011,Southampton 007,E02003555,Total,3140,1763,760,1003,18,972,831,141,350,325,25,37,972,350,1763,37,3122,3140,2011,Southampton 007,E02003555,Total,3140,1086,1065,743,228,18,3140,Southampton,3140,2989,27670.86288,3763,12745.97142,Southampton,40416.8343,34.5859872611465,30.9554140127389,11.1464968152866,56.1464968152866
+E02003556,Southampton 008,E02003556,Southampton 008,1321,4880.3,177,282,776,5,27501.2393712,2011,Southampton 008,E02003556,Total,2471,1740,811,929,9,309,232,77,399,371,28,14,309,399,1740,14,2462,2471,2011,Southampton 008,E02003556,Total,2471,1052,853,434,111,21,2471,Southampton,2471,2295,26412.36043,2589,9199.673127,Southampton,35612.033557,42.5738567381627,12.5050586806961,16.1473087818697,70.4168352893565
+E02003557,Southampton 009,E02003557,Southampton 009,2137,8330.9,122,979,920,10,47067.974377,2011,Southampton 009,E02003557,Total,2753,1445,839,606,8,203,50,153,1073,1007,66,24,203,1073,1445,24,2745,2753,2011,Southampton 009,E02003557,Total,2753,1398,909,370,71,5,2753,Southampton,2753,2354,32057.76788,3103,10784.46184,Southampton,42842.22972,50.7809662186705,7.37377406465674,38.9756629131856,52.4881946966945
+E02003558,Southampton 010,E02003558,Southampton 010,2216,6682.8,641,612,756,85,38568.3928412,2011,Southampton 010,E02003558,Total,2924,1164,495,669,28,945,718,227,755,708,47,32,945,755,1164,32,2896,2924,2011,Southampton 010,E02003558,Total,2924,993,1009,691,208,23,2924,Southampton,2924,2294,23530.15475,3222,10891.83831,Southampton,34421.99306,33.9603283173735,32.3187414500684,25.8207934336525,39.8084815321477
+E02003559,Southampton 011,E02003559,Southampton 011,1678,7519.8,97,350,1176,13,42376.725845,2011,Southampton 011,E02003559,Total,3065,2351,1157,1194,36,183,76,107,464,439,25,31,183,464,2351,31,3029,3065,2011,Southampton 011,E02003559,Total,3065,1636,930,422,69,8,3065,Southampton,3065,2896,44023.67581,3165,11232.52733,Southampton,55256.20314,53.3768352365416,5.97063621533442,15.1386623164763,76.7047308319739
+E02003560,Southampton 012,E02003560,Southampton 012,1952,5936.8,1046,168,670,43,33862.758635,2011,Southampton 012,E02003560,Total,3040,1098,457,641,9,1627,1519,108,266,246,20,40,1627,266,1098,40,3031,3040,2011,Southampton 012,E02003560,Total,3040,820,1047,845,299,29,3040,Southampton,3040,2739,23190.35064,3191,11062.59208,Southampton,34252.94272,26.9736842105263,53.5197368421053,8.75,36.1184210526316
+E02003561,Southampton 013,E02003561,Southampton 013,2663,8648.9,366,1207,888,58,49231.805891,2011,Southampton 013,E02003561,Total,3181,1081,481,600,24,626,302,324,1423,1370,53,27,626,1423,1081,27,3157,3181,2011,Southampton 013,E02003561,Total,3181,1266,1048,636,195,36,3181,Southampton,3181,2473,26452.24976,3489,11978.59833,Southampton,38430.84809,39.7988054071047,19.6793461175731,44.7343602640679,33.9830242062245
+E02003562,Southampton 014,E02003562,Southampton 014,2489,8267.1,208,787,1353,74,47128.063564,2011,Southampton 014,E02003562,Total,3636,2152,832,1320,56,332,94,238,1063,1007,56,33,332,1063,2152,33,3580,3636,2011,Southampton 014,E02003562,Total,3636,1661,1221,577,155,22,3636,Southampton,3636,2983,36532.47894,3921,14757.18363,Southampton,51289.66257,45.6820682068207,9.13091309130913,29.2354235423542,59.1859185918592
+E02003563,Southampton 015,E02003563,Southampton 015,2545,8097.5,638,607,1082,157,46490.2394013,2011,Southampton 015,E02003563,Total,3483,1804,793,1011,43,759,555,204,842,794,48,35,759,842,1804,35,3440,3483,2011,Southampton 015,E02003563,Total,3483,1317,1164,768,209,25,3483,Southampton,3483,2648,27516.54456,3818,12404.30615,Southampton,39920.85071,37.8122308354867,21.7915590008613,24.1745621590583,51.7944300890037
+E02003564,Southampton 016,E02003564,Southampton 016,2124,7466.6,487,299,1149,81,42655.744136,2011,Southampton 016,E02003564,Total,3474,2202,1059,1143,36,783,644,139,420,386,34,33,783,420,2202,33,3438,3474,2011,Southampton 016,E02003564,Total,3474,1368,1180,700,190,36,3474,Southampton,3474,2777,30545.17042,3563,13173.31465,Southampton,43718.48507,39.3782383419689,22.5388601036269,12.0898100172712,63.3851468048359
+E02003565,Southampton 017,E02003565,Southampton 017,2397,7486.80000000001,180,1290,553,272,42543.368023,2011,Southampton 017,E02003565,Total,2563,742,308,434,30,298,79,219,1467,1411,56,26,298,1467,742,26,2533,2563,2011,Southampton 017,E02003565,Total,2563,1251,807,367,116,22,2563,Southampton,2563,2241,25810.92458,2840,9380.707441,Southampton,35191.632021,48.8099882949668,11.6269996098322,57.2376121732345,28.950448692938
+E02003566,Southampton 018,E02003566,Southampton 018,1600,4797.7,457,168,753,8,27067.979261,2011,Southampton 018,E02003566,Total,2607,1549,747,802,32,778,587,191,218,198,20,30,778,218,1549,30,2575,2607,2011,Southampton 018,E02003566,Total,2607,918,882,645,154,8,2607,Southampton,2607,2607,26826.21743,2831,9221.544436,Southampton,36047.761866,35.2128883774453,29.8427311085539,8.36210203298811,59.4169543536632
+E02003567,Southampton 019,E02003567,Southampton 019,1780,5939.5,464,277,978,41,33255.3013728,2011,Southampton 019,E02003567,Total,2991,1699,688,1011,23,816,716,100,422,386,36,31,816,422,1699,31,2968,2991,2011,Southampton 019,E02003567,Total,2991,1172,981,604,218,16,2991,Southampton,2991,3036,32188.32713,3200,11259.88083,Southampton,43448.20796,39.1842193246406,27.2818455366098,14.1089936476095,56.8037445670344
+E02003568,Southampton 020,E02003568,Southampton 020,2954,9359.60000000001,120,1451,1203,46,53468.7626998,2011,Southampton 020,E02003568,Total,3820,1640,601,1039,29,173,22,151,1945,1880,65,33,173,1945,1640,33,3791,3820,2011,Southampton 020,E02003568,Total,3820,1913,1238,515,122,32,3820,Southampton,3820,2757,33366.33693,3900,13657.7525,Southampton,47024.08943,50.0785340314136,4.52879581151833,50.9162303664922,42.9319371727749
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+E02003571,Southampton 023,E02003571,Southampton 023,2958,8206.1,368,1396,725,258,47820.533587,2011,Southampton 023,E02003571,Total,3040,653,305,348,5,615,256,359,1732,1676,56,35,615,1732,653,35,3035,3040,2011,Southampton 023,E02003571,Total,3040,1458,956,451,153,22,3040,Southampton,3040,1808,21269.29383,3530,12216.39698,Southampton,33485.69081,47.9605263157895,20.2302631578947,56.9736842105263,21.4802631578947
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+E02003576,Southampton 028,E02003576,Southampton 028,2120,6989.4,478,502,1090,15,39556.606899,2011,Southampton 028,E02003576,Total,3434,1937,668,1269,40,784,528,256,638,602,36,35,784,638,1937,35,3394,3434,2011,Southampton 028,E02003576,Total,3434,1339,1114,736,219,26,3434,Southampton,3434,2999,30840.23115,3614,13260.24734,Southampton,44100.47849,38.9924286546302,22.8305183459522,18.5789167152009,56.4065230052417
+E02003577,Southampton 029,E02003577,Southampton 029,5879,13085.7,968,1999,1302,431,77245.243565,2011,Southampton 029,E02003577,Total,4908,1211,409,802,160,1355,959,396,2115,2040,75,67,1355,2115,1211,67,4748,4908,2011,Southampton 029,E02003577,Total,4908,1861,1763,915,299,70,4908,Southampton,4908,2420,20108.63369,6734,27352.6982,Southampton,47461.33189,37.917685411573,27.6079869600652,43.0929095354523,24.6740016299919
+E02003578,Southampton 030,E02003578,Southampton 030,1519,4876.4,173,291,933,21,27644.407294,2011,Southampton 030,E02003578,Total,2641,1905,758,1147,19,281,187,94,414,374,40,22,281,414,1905,22,2622,2641,2011,Southampton 030,E02003578,Total,2641,1164,877,489,94,17,2641,Southampton,2641,2493,26525.49559,2830,10046.80627,Southampton,36572.30186,44.0742143127603,10.6399091253313,15.6758803483529,72.1317682695949
+E02003579,Southampton 031,E02003579,Southampton 031,3112,8174.5,214,621,1253,321,46140.806416,2011,Southampton 031,E02003579,Total,3357,2118,886,1232,23,388,162,226,799,751,48,29,388,799,2118,29,3334,3357,2011,Southampton 031,E02003579,Total,3357,1508,1085,582,163,19,3357,Southampton,3357,3068,34052.12047,4460,13860.93609,Southampton,47913.05656,44.9210604706583,11.5579386356866,23.8010128090557,63.0920464700626
+E02003580,Southampton 032,E02003580,Southampton 032,1783,5361.8,883,113,688,16,30726.4375475,2011,Southampton 032,E02003580,Total,2617,934,361,573,22,1452,1322,130,174,157,17,35,1452,174,934,35,2595,2617,2011,Southampton 032,E02003580,Total,2617,712,923,666,283,33,2617,Southampton,2617,1716,15056.06366,2825,9432.095361,Southampton,24488.159021,27.2067252579289,55.4833779136416,6.64883454337027,35.6897210546427
diff --git a/docs/carbonCosts.docx b/docs/carbonCosts.docx
deleted file mode 100644
index aa060b84a6688b2a230b2927acfacf131b0874e4..0000000000000000000000000000000000000000
Binary files a/docs/carbonCosts.docx and /dev/null differ
diff --git a/docs/carbonCosts.html b/docs/carbonCosts.html
index 2007d199e0eeb0b1030d0d2530406bf67a244f8d..a19238a84ed50b36aa93308c39f4869227487c2b 100644
--- a/docs/carbonCosts.html
+++ b/docs/carbonCosts.html
@@ -12,7 +12,7 @@
<meta name="author" content="Ben Anderson" />
-<title>What can EPC data tell us about the domestic cost of carbon?</title>
+<title>Exploring #backOfaFagPacket scenarios for a residential dwellings Carbon Tax</title>
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@@ -1852,4673 +1852,75 @@ div.tocify {
-<h1 class="title toc-ignore">What can EPC data tell us about the domestic cost of carbon?</h1>
+<h1 class="title toc-ignore">Exploring #backOfaFagPacket scenarios for a residential dwellings Carbon Tax</h1>
+<h3 class="subtitle">Southampton as a case study</h3>
<h4 class="author">Ben Anderson</h4>
-<h4 class="date">Last run at: 2020-11-06 18:58:46</h4>
+<h4 class="date">Last run at: 2020-11-10 18:01:16</h4>
</div>
-<div id="energy-performance-certificates-epcs" class="section level1">
-<h1><span class="header-section-number">1</span> Energy Performance Certificates (EPCs)</h1>
-<p>Apart from a few exempted buildings, a dwelling must have an EPC when constructed, sold or let. This means that over time we will have an EPC for an increasing number of properties and we should <em>already</em> have EPCs for all rented properties.</p>
-<p>EPCs are not necessarily up to date. For example if a property has not been sold or let since a major upgrade, the effects of that upgrade may not be visible in the data.</p>
-<p>Further reading:</p>
-<ul>
-<li><a href="https://epc.opendatacommunities.org/docs/guidance#technical_notes" class="uri">https://epc.opendatacommunities.org/docs/guidance#technical_notes</a></li>
-<li><a href="https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure" class="uri">https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure</a></li>
-</ul>
-<blockquote>
-<p>check what feeds in automatically e.f. RHI installs etc</p>
-</blockquote>
-<p>We have to assume the data we have is the <em>current state of play</em> for these dwellings.</p>
-</div>
-<div id="southampton-epcs" class="section level1">
-<h1><span class="header-section-number">2</span> Southampton EPCs</h1>
-<pre class="r"><code>df <- path.expand("~/data/EW_epc/domestic-E06000045-Southampton/certificates.csv")
-allEPCs_DT <- data.table::fread(df)</code></pre>
-<pre><code>## Warning in require_bit64_if_needed(ans): Some columns are type 'integer64' but package bit64 is
-## not installed. Those columns will print as strange looking floating point data. There is no need to
-## reload the data. Simply install.packages('bit64') to obtain the integer64 print method and print the
-## data again.</code></pre>
-<p>The EPC data file has 91833 records for Southampton and 90 variables. We’re not interested in all of these, we want:</p>
-<ul>
-<li>PROPERTY_TYPE: Describes the type of property such as House, Flat, Maisonette etc. This is the type differentiator for dwellings;</li>
-<li>BUILT_FORM: The building type of the Property e.g. Detached, Semi-Detached, Terrace etc. Together with the Property Type, the Build Form produces a structured description of the property;</li>
-<li>ENVIRONMENT_IMPACT_CURRENT: A measure of the property’s current impact on the environment in terms of carbon dioxide (CO₂) emissions. The higher the rating the lower the CO₂ emissions. (CO₂ emissions in tonnes / year) <strong>NB this is a categorised scale calculated from CO2_EMISSIONS_CURRENT</strong>;</li>
-<li>ENERGY_CONSUMPTION_CURRENT: Current estimated total energy consumption for the property in a 12 month period (<strong>kWh/m2</strong>). Displayed on EPC as the current primary energy use per square metre of floor area. <strong>Nb: this covers heat and hot water (and lightng?)</strong></li>
-<li>CO2_EMISSIONS_CURRENT: COâ‚‚ emissions per year in tonnes/year <strong>NB: this is calculated from the modelled kWh energy input using (possibly) outdated carbon intensity values</strong>;</li>
-<li>TENURE: Describes the tenure type of the property. One of: Owner-occupied; Rented (social); Rented (private).</li>
-</ul>
-<p>We’re also going to keep:</p>
-<ul>
-<li>WIND_TURBINE_COUNT: Number of wind turbines; 0 if none;</li>
-<li>PHOTO_SUPPLY: Percentage of photovoltaic area as a percentage of total roof area. 0% indicates that a Photovoltaic Supply is not present in the property;</li>
-<li>TOTAL_FLOOR_AREA: The total useful floor area is the total of all enclosed spaces measured to the internal face of the external walls, i.e. the gross floor area as measured in accordance with the guidance issued from time to time by the Royal Institute of Chartered Surveyors or by a body replacing that institution. (m²) - to allow for the calculation of total energy demand;</li>
-<li>POSTCODE - to allow linkage to other datasets</li>
-<li>LOCAL_AUTHORITY_LABEL - for checking</li>
-</ul>
-<p>These may indicate ‘non-grid’ energy inputs.</p>
-<p>If an EPC has been updated or refreshed, the EPC dataset will hold multiple EPC records for that property. We will just select the most recent.</p>
-<pre class="r"><code># select just these vars
-dt <- allEPCs_DT[, .(BUILDING_REFERENCE_NUMBER, LMK_KEY, LODGEMENT_DATE, PROPERTY_TYPE, BUILT_FORM,
- ENVIRONMENT_IMPACT_CURRENT, ENERGY_CONSUMPTION_CURRENT, CO2_EMISSIONS_CURRENT, TENURE,
- PHOTO_SUPPLY, WIND_TURBINE_COUNT, TOTAL_FLOOR_AREA,
- POSTCODE, LOCAL_AUTHORITY_LABEL)]
-
-# select most recent record within BUILDING_REFERENCE_NUMBER - how?
-# better check this is doing so
-setkey(dt,BUILDING_REFERENCE_NUMBER, LODGEMENT_DATE) # sort by date within reference number
-sotonUniqueEPCsDT <- unique(dt, by = "BUILDING_REFERENCE_NUMBER",
- fromLast = TRUE) # which one does it take?
-
-test1 <- allEPCs_DT[, .(min1 = min(LODGEMENT_DATE),
- nRecords = .N),
- keyby = .(BUILDING_REFERENCE_NUMBER)]
-
-test2 <- sotonUniqueEPCsDT[, .(min2 = min(LODGEMENT_DATE)),
- keyby = .(BUILDING_REFERENCE_NUMBER)]
-t <- test1[test2]
-t[, diff := min2 - min1]
-
-summary(t[nRecords > 1]) # diff is always >= 0 so min2 (after unique) is always > min1</code></pre>
-<pre><code>## BUILDING_REFERENCE_NUMBER min1 nRecords min2 diff
-## Min. : 0.000e+00 Min. :2008-10-01 Min. :2.000 Min. :2008-10-10 Min. : 0
-## 1st Qu.:1.224e-314 1st Qu.:2009-04-01 1st Qu.:2.000 1st Qu.:2014-08-22 1st Qu.: 745
-## Median :2.473e-314 Median :2010-03-01 Median :2.000 Median :2018-02-19 Median :1960
-## Mean :2.463e-314 Mean :2011-04-19 Mean :2.179 Mean :2017-01-05 Mean :2088
-## 3rd Qu.:3.703e-314 3rd Qu.:2013-03-18 3rd Qu.:2.000 3rd Qu.:2019-04-30 3rd Qu.:3643
-## Max. :4.940e-314 Max. :2020-06-30 Max. :9.000 Max. :2020-06-30 Max. :4279</code></pre>
-<pre class="r"><code># confirms fromLast = TRUE has selected the most recent within BUILDING_REFERENCE_NUMBER
-
-skimr::skim(sotonUniqueEPCsDT)</code></pre>
-<pre><code>## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling back
-## to `character`.</code></pre>
-<table style="width: auto;" class="table table-condensed">
-<caption>
-<span id="tab:checkData">Table 2.1: </span>Data summary
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-</th>
-<th style="text-align:left;">
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-Name
-</td>
-<td style="text-align:left;">
-sotonUniqueEPCsDT
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Number of rows
-</td>
-<td style="text-align:left;">
-71600
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Number of columns
-</td>
-<td style="text-align:left;">
-14
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-_______________________
-</td>
-<td style="text-align:left;">
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Column type frequency:
-</td>
-<td style="text-align:left;">
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-character
-</td>
-<td style="text-align:left;">
-7
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Date
-</td>
-<td style="text-align:left;">
-1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-numeric
-</td>
-<td style="text-align:left;">
-6
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-________________________
-</td>
-<td style="text-align:left;">
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Group variables
-</td>
-<td style="text-align:left;">
-None
-</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: character</strong></p>
-<table>
-<thead>
-<tr>
-<th style="text-align:left;">
-skim_variable
-</th>
-<th style="text-align:right;">
-n_missing
-</th>
-<th style="text-align:right;">
-complete_rate
-</th>
-<th style="text-align:right;">
-min
-</th>
-<th style="text-align:right;">
-max
-</th>
-<th style="text-align:right;">
-empty
-</th>
-<th style="text-align:right;">
-n_unique
-</th>
-<th style="text-align:right;">
-whitespace
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-BUILDING_REFERENCE_NUMBER
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-17
-</td>
-<td style="text-align:right;">
-21
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-71600
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-LMK_KEY
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-29
-</td>
-<td style="text-align:right;">
-34
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-71600
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-PROPERTY_TYPE
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-4
-</td>
-<td style="text-align:right;">
-10
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-5
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-BUILT_FORM
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-8
-</td>
-<td style="text-align:right;">
-20
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-7
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-TENURE
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-16
-</td>
-<td style="text-align:right;">
-1988
-</td>
-<td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-POSTCODE
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-8
-</td>
-<td style="text-align:right;">
-8
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-5107
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-LOCAL_AUTHORITY_LABEL
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-11
-</td>
-<td style="text-align:right;">
-11
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: Date</strong></p>
-<table>
-<thead>
-<tr>
-<th style="text-align:left;">
-skim_variable
-</th>
-<th style="text-align:right;">
-n_missing
-</th>
-<th style="text-align:right;">
-complete_rate
-</th>
-<th style="text-align:left;">
-min
-</th>
-<th style="text-align:left;">
-max
-</th>
-<th style="text-align:left;">
-median
-</th>
-<th style="text-align:right;">
-n_unique
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-LODGEMENT_DATE
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-2008-10-01
-</td>
-<td style="text-align:left;">
-2020-06-30
-</td>
-<td style="text-align:left;">
-2014-10-20
-</td>
-<td style="text-align:right;">
-4132
-</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: numeric</strong></p>
-<table>
-<thead>
-<tr>
-<th style="text-align:left;">
-skim_variable
-</th>
-<th style="text-align:right;">
-n_missing
-</th>
-<th style="text-align:right;">
-complete_rate
-</th>
-<th style="text-align:right;">
-mean
-</th>
-<th style="text-align:right;">
-sd
-</th>
-<th style="text-align:right;">
-p0
-</th>
-<th style="text-align:right;">
-p25
-</th>
-<th style="text-align:right;">
-p50
-</th>
-<th style="text-align:right;">
-p75
-</th>
-<th style="text-align:right;">
-p100
-</th>
-<th style="text-align:left;">
-hist
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-ENVIRONMENT_IMPACT_CURRENT
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-62.56
-</td>
-<td style="text-align:right;">
-15.73
-</td>
-<td style="text-align:right;">
-1.0
-</td>
-<td style="text-align:right;">
-52.0
-</td>
-<td style="text-align:right;">
-63.0
-</td>
-<td style="text-align:right;">
-73
-</td>
-<td style="text-align:right;">
-115.00
-</td>
-<td style="text-align:left;">
-â–▂▇▅â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-ENERGY_CONSUMPTION_CURRENT
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-262.90
-</td>
-<td style="text-align:right;">
-140.55
-</td>
-<td style="text-align:right;">
--184.0
-</td>
-<td style="text-align:right;">
-173.0
-</td>
-<td style="text-align:right;">
-233.0
-</td>
-<td style="text-align:right;">
-327
-</td>
-<td style="text-align:right;">
-1597.00
-</td>
-<td style="text-align:left;">
-▃▇â–â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-CO2_EMISSIONS_CURRENT
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-3.16
-</td>
-<td style="text-align:right;">
-1.94
-</td>
-<td style="text-align:right;">
--1.8
-</td>
-<td style="text-align:right;">
-1.8
-</td>
-<td style="text-align:right;">
-2.8
-</td>
-<td style="text-align:right;">
-4
-</td>
-<td style="text-align:right;">
-77.00
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-PHOTO_SUPPLY
-</td>
-<td style="text-align:right;">
-38595
-</td>
-<td style="text-align:right;">
-0.46
-</td>
-<td style="text-align:right;">
-0.59
-</td>
-<td style="text-align:right;">
-5.12
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-100.00
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-WIND_TURBINE_COUNT
-</td>
-<td style="text-align:right;">
-5556
-</td>
-<td style="text-align:right;">
-0.92
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0.03
-</td>
-<td style="text-align:right;">
--1.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:left;">
-â–â–â–‡â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-TOTAL_FLOOR_AREA
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-72.97
-</td>
-<td style="text-align:right;">
-34.93
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-49.0
-</td>
-<td style="text-align:right;">
-69.0
-</td>
-<td style="text-align:right;">
-87
-</td>
-<td style="text-align:right;">
-1353.68
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–
-</td>
-</tr>
-</tbody>
-</table>
-<p>As we can see that we have 71600 unique property reference numbers. We can also see some strangeness. In some cases we seem to have:</p>
-<ul>
-<li>negative energy consumption;</li>
-<li>negative emissions;</li>
-<li>0 floor area</li>
-</ul>
-<p>This is not surprising since the kWh/y and TCO2/y values are estimated using a model but before we go any further we’d better check if these are significant in number.</p>
-<div id="check-missing-epc-rates" class="section level2">
-<h2><span class="header-section-number">2.1</span> Check ‘missing’ EPC rates</h2>
-<p>We will do this mostly at MSOA level as it allows us to link to other MSOA level datasets. Arguably it would be better to do this at LSOA level but…</p>
-<p>First we’ll use the BEIS 2018 MSOA level annual electricity data to estimate the number of meters (not properties) - some addresses can have 2 meters (e.g. standard & economy 7). This is more useful than the number of gas meters since not all dwellings have mains gas but all have an electricity meter.</p>
-<pre class="r"><code>beisElecDT <- data.table::fread("~/data/beis/MSOA_DOM_ELEC_csv/MSOA_ELEC_2018.csv")
-sotonElecDT <- beisElecDT[LAName %like% "Southampton", .(nElecMeters = METERS,
- beisElecMWh = KWH/1000,
- MSOACode, LAName)
- ]
-
-
-beisGasDT <- data.table::fread("~/data/beis/MSOA_DOM_GAS_csv/MSOA_GAS_2018.csv")
-sotonGasDT <- beisGasDT[LAName %like% "Southampton", .(nGasMeters = METERS,
- beisGasMWh = KWH/1000,
- MSOACode)]
-
-setkey(sotonElecDT, MSOACode)
-setkey(sotonGasDT, MSOACode)
-sotonEnergyDT <- sotonGasDT[sotonElecDT]
-sotonEnergyDT[, beisEnergyMWh := beisElecMWh + beisGasMWh]
-#head(sotonEnergyDT)</code></pre>
-<p>Next we’ll check for the number of households reported by the 2011 Census.</p>
-<blockquote>
-<p>would be better to use dwellings but this gives us tenure</p>
-</blockquote>
-<pre class="r"><code>#censusDT <- data.table::fread(path.expand("~/data/"))
-# IMD ----
-deprivationDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_deprivation.csv"))
-deprivationDT[, totalHouseholds := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
-deprivationDT[, MSOACode := `geography code`]
-setkey(deprivationDT, MSOACode)
-setkey(sotonElecDT, MSOACode)
-# link LA name from Soton elec for now
-sotonDep_DT <- deprivationDT[sotonElecDT[, .(MSOACode, LAName)]]
-sotonDep_DT[, nHHs_deprivation := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
-
-#sotonDep_DT[, .(nHouseholds = sum(totalHouseholds)), keyby = .(LAName)]
-
-# census tenure ----
-sotonTenureDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_householdTenure_Soton.csv"))
-
-sotonTenureDT[, census2011_socialRent := `Tenure: Social rented; measures: Value`]
-sotonTenureDT[, census2011_privateRent := `Tenure: Private rented; measures: Value`]
-sotonTenureDT[, census2011_ownerOccupy := `Tenure: Owned; measures: Value`]
-sotonTenureDT[, census2011_other := `Tenure: Living rent free; measures: Value`]
-sotonTenureDT[, MSOACode := `geography code`]
-
-sotonTenureDT[, hhCheck := census2011_socialRent + census2011_privateRent + census2011_ownerOccupy + census2011_other]
-sotonTenureDT[, nHHs_tenure := `Tenure: All households; measures: Value`]
-
-# summary(sotonTenureDT[, .(hhCheck, nHHs_tenure)])
-# might not quite match due to cell perturbation etc?
-
-# join em ----
-setkey(sotonDep_DT, MSOACode)
-setkey(sotonTenureDT, MSOACode)
-
-sotonCensus2011_DT <- sotonTenureDT[sotonDep_DT]
-
-t <- sotonCensus2011_DT[, .(sum_Deprivation = sum(nHHs_deprivation),
- sum_Tenure = sum(nHHs_tenure)), keyby = .(LAName)]
-kableExtra::kable(t, caption = "Census derived household counts")</code></pre>
-<table>
-<caption>
-<span id="tab:checkCensus">Table 2.2: </span>Census derived household counts
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-LAName
-</th>
-<th style="text-align:right;">
-sum_Deprivation
-</th>
-<th style="text-align:right;">
-sum_Tenure
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-Southampton
-</td>
-<td style="text-align:right;">
-98254
-</td>
-<td style="text-align:right;">
-98254
-</td>
-</tr>
-</tbody>
-</table>
-<p>That’s lower (as expected) but doesn’t allow for dwellings that were empty on census night.</p>
-<pre class="r"><code># Postcodes don't help - no count of addresses in the data (there used to be??)
-# but we can use it to check which Soton postcodes are missing from the EPC file
-soPostcodesDT <- data.table::fread(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Data/multi_csv/NSPL_AUG_2020_UK_SO.csv"))
-
-soPostcodesDT <- soPostcodesDT[is.na(doterm)] # keep current
-
-sotonPostcodesDT <- soPostcodesDT[laua == "E06000045"] # keep Southampton City
-
-sotonPostcodesReducedDT <- sotonPostcodesDT[, .(pcd, pcd2, pcds, laua, msoa11, lsoa11)]
-
-sotonPostcodesReducedDT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(pcds,
- split = " "
- )
- ]
-sotonPostcodesReducedDT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
-<pre><code>## pc_chunk1 nEPCs
-## 1: SO14 849
-## 2: SO15 1176
-## 3: SO16 1328
-## 4: SO17 443
-## 5: SO18 859
-## 6: SO19 1164</code></pre>
-<p>We should not have single digit postcodes in the postcode data - i.e. S01 should not be there (since 1993). Southampton City is unusual in only having <a href="https://en.wikipedia.org/wiki/SO_postcode_area">double digit postcodes</a>.</p>
-<pre class="r"><code># EPC
-# set up counters
-sotonUniqueEPCsDT[, epcIsSocialRent := ifelse(TENURE == "rental (social)", 1, 0)]
-sotonUniqueEPCsDT[, epcIsPrivateRent := ifelse(TENURE == "rental (private)", 1, 0)]
-sotonUniqueEPCsDT[, epcIsOwnerOcc := ifelse(TENURE == "owner-occupied", 1, 0)]
-sotonUniqueEPCsDT[, epcIsUnknownTenure := ifelse(TENURE == "NO DATA!" |
- TENURE == "" , 1, 0)]
-# aggregate EPCs to postcodes
-sotonEpcPostcodes_DT <- sotonUniqueEPCsDT[, .(nEPCs = .N,
- sumEPC_tCO2 = sum(CO2_EMISSIONS_CURRENT, na.rm = TRUE),
- n_epcIsSocialRent = sum(epcIsSocialRent, na.rm = TRUE),
- n_epcIsPrivateRent = sum(epcIsPrivateRent, na.rm = TRUE),
- n_epcIsOwnerOcc = sum(epcIsOwnerOcc, na.rm = TRUE),
- n_epcIsUnknownTenure = sum(epcIsUnknownTenure, na.rm = TRUE),
- sumEpcMWh = sum(ENERGY_CONSUMPTION_CURRENT* TOTAL_FLOOR_AREA)/1000), # crucial as ENERGY_CONSUMPTION_CURRENT = kWh/m2
- keyby = .(POSTCODE, LOCAL_AUTHORITY_LABEL)]
-
-sotonEpcPostcodes_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE,
- split = " "
- )
- ]
-sotonEpcPostcodes_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
-<pre><code>## pc_chunk1 nEPCs
-## 1: SO14 601
-## 2: SO15 960
-## 3: SO16 1245
-## 4: SO17 403
-## 5: SO18 776
-## 6: SO19 1122</code></pre>
-<pre class="r"><code># check original EPC data for Soton - which postcodes are covered?
-allEPCs_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE,
- split = " "
- )
- ]
-allEPCs_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
-<pre><code>## pc_chunk1 nEPCs
-## 1: SO14 14213
-## 2: SO15 17855
-## 3: SO16 20270
-## 4: SO17 8446
-## 5: SO18 10661
-## 6: SO19 20388</code></pre>
-<p>It looks like we have EPCs for each postcode sector which is good.</p>
-<pre class="r"><code># match the EPC postcode summaries to the postcode extract
-sotonPostcodesReducedDT[, POSTCODE_s := stringr::str_remove(pcds, " ")]
-setkey(sotonPostcodesReducedDT, POSTCODE_s)
-sotonPostcodesReducedDT[, MSOACode := msoa11]
-message("Number of postcodes: ",uniqueN(sotonPostcodesReducedDT$POSTCODE_s))</code></pre>
-<pre><code>## Number of postcodes: 5819</code></pre>
-<pre class="r"><code>sotonEpcPostcodes_DT[, POSTCODE_s := stringr::str_remove(POSTCODE, " ")]
-setkey(sotonEpcPostcodes_DT, POSTCODE_s)
-message("Number of postcodes with EPCs: ",uniqueN(sotonEpcPostcodes_DT$POSTCODE_s))</code></pre>
-<pre><code>## Number of postcodes with EPCs: 5107</code></pre>
-<pre class="r"><code>dt <- sotonEpcPostcodes_DT[sotonPostcodesReducedDT]
-
-# aggregate to MSOA - watch for NAs where no EPCs in a given postcode
-sotonEpcMSOA_DT <- dt[, .(nEPCs = sum(nEPCs, na.rm = TRUE),
- sumEPC_tCO2 = sum(sumEPC_tCO2, na.rm = TRUE),
- n_epcIsSocialRent = sum(n_epcIsSocialRent, na.rm = TRUE),
- n_epcIsPrivateRent = sum(n_epcIsPrivateRent, na.rm = TRUE),
- n_epcIsOwnerOcc = sum(n_epcIsOwnerOcc, na.rm = TRUE),
- n_epcIsUnknownTenure = sum(n_epcIsUnknownTenure, na.rm = TRUE),
- sumEpcMWh = sum(sumEpcMWh, na.rm = TRUE)
- ),
- keyby = .(MSOACode) # change name on the fly for easier matching
- ]
-
-#summary(sotonEpcMSOA_DT)</code></pre>
-<p>So we have some postcodes with no EPCs.</p>
-<p>Join the estimates together at MSOA level for comparison. There are 32 MSOAs in Southampton.</p>
-<pre class="r"><code># 32 LSOAs in Soton
-# add deprivation
-setkey(sotonEnergyDT, MSOACode)
-setkey(sotonCensus2011_DT, MSOACode)
-setkey(sotonEpcMSOA_DT, MSOACode)
-
-sotonMSOA_DT <- sotonCensus2011_DT[sotonEnergyDT]
-#names(sotonMSOA_DT)
-sotonMSOA_DT <- sotonEpcMSOA_DT[sotonMSOA_DT]
-#names(sotonMSOA_DT)
-
-# add MSOA names from the postcode LUT
-
-msoaNamesDT <- data.table::as.data.table(readxl::read_xlsx(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Documents/MSOA (2011) names and codes UK as at 12_12.xlsx")))
-msoaNamesDT[, MSOACode := MSOA11CD]
-msoaNamesDT[, MSOAName := MSOA11NM]
-setkey(msoaNamesDT, MSOACode)
-
-sotonMSOA_DT <- msoaNamesDT[sotonMSOA_DT]
-
-#names(sotonMSOA_DT)</code></pre>
-<pre class="r"><code>t <- sotonMSOA_DT[, .(nHouseholds_2011 = sum(nHHs_tenure),
- nElecMeters_2018 = sum(nElecMeters),
- nEPCs_2020 = sum(nEPCs),
- sumEPCMWh = sum(sumEpcMWh),
- sumBEISMWh = sum(beisEnergyMWh),
- sumEPC_tCO2 = sum(sumEPC_tCO2)
- )]
-
-kableExtra::kable(t, caption = "Comparison of different estimates of the number of dwellings and energy demand") %>%
- kable_styling()</code></pre>
-<table class="table" style="margin-left: auto; margin-right: auto;">
-<caption>
-<span id="tab:compareEpcEstimates">Table 2.3: </span>Comparison of different estimates of the number of dwellings and energy demand
-</caption>
-<thead>
-<tr>
-<th style="text-align:right;">
-nHouseholds_2011
-</th>
-<th style="text-align:right;">
-nElecMeters_2018
-</th>
-<th style="text-align:right;">
-nEPCs_2020
-</th>
-<th style="text-align:right;">
-sumEPCMWh
-</th>
-<th style="text-align:right;">
-sumBEISMWh
-</th>
-<th style="text-align:right;">
-sumEPC_tCO2
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:right;">
-98254
-</td>
-<td style="text-align:right;">
-108333
-</td>
-<td style="text-align:right;">
-71276
-</td>
-<td style="text-align:right;">
-1286499
-</td>
-<td style="text-align:right;">
-1276983
-</td>
-<td style="text-align:right;">
-225568
-</td>
-</tr>
-</tbody>
-</table>
-<pre class="r"><code>nHouseholds_2011f <- sum(sotonMSOA_DT$nHHs_tenure)
-nElecMeters_2018f <- sum(sotonMSOA_DT$elecMeters)
-nEPCs_2020f <- sum(sotonMSOA_DT$nEPCs)
-
-makePC <- function(x,y,r){
- # make a percent of x/y and round it to r decimal places
- pc <- round(100*(x/y),r)
- return(pc)
-}</code></pre>
-<p>We can see that the number of EPCs we have is:</p>
-<ul>
-<li>72.5% of Census 2011 households
-<ul>
-<li>% of the recorded 2018 electricity meters</li>
-</ul></li>
-</ul>
-<p>We can also see that despite having ‘missing’ EPCs, the estimated total EPC-derived energy demand is marginally higher than the BEIS-derived weather corrected energy demand data. Given that the BEIS data accounts for all heating, cooking, hot water, lighting and appliance use we would expect the EPC data to be lower <em>even if no EPCs were missing…</em></p>
-<pre class="r"><code>sotonMSOA_DT[, dep0_pc := 100*(`Household Deprivation: Household is not deprived in any dimension; measures: Value`/nHHs_deprivation)]
-sotonMSOA_DT[, socRent_pc := 100*(census2011_socialRent/nHHs_tenure)]
-sotonMSOA_DT[, privRent_pc := 100*(census2011_privateRent/nHHs_tenure)]
-sotonMSOA_DT[, ownerOcc_pc := 100*(census2011_ownerOccupy/nHHs_tenure)]
-
-t <- sotonMSOA_DT[, .(MSOAName, MSOACode, nHHs_tenure,nElecMeters,nEPCs,
- dep0_pc, socRent_pc, privRent_pc, ownerOcc_pc,sumEpcMWh, beisEnergyMWh )]
-
-t[, pc_missingHH := makePC(nEPCs,nHHs_tenure,1)]
-t[, pc_missingMeters := makePC(nEPCs,nElecMeters,1)]
-t[, pc_energyBEIS := makePC(sumEpcMWh,beisEnergyMWh,1)]
-
-kableExtra::kable(t[order(-pc_missingHH)], digits = 2, caption = "EPC records as a % of n census households and n meters per MSOA") %>%
- kable_styling()</code></pre>
-<table class="table" style="margin-left: auto; margin-right: auto;">
-<caption>
-<span id="tab:missingEPCbyMSOA">Table 2.4: </span>EPC records as a % of n census households and n meters per MSOA
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-MSOAName
-</th>
-<th style="text-align:left;">
-MSOACode
-</th>
-<th style="text-align:right;">
-nHHs_tenure
-</th>
-<th style="text-align:right;">
-nElecMeters
-</th>
-<th style="text-align:right;">
-nEPCs
-</th>
-<th style="text-align:right;">
-dep0_pc
-</th>
-<th style="text-align:right;">
-socRent_pc
-</th>
-<th style="text-align:right;">
-privRent_pc
-</th>
-<th style="text-align:right;">
-ownerOcc_pc
-</th>
-<th style="text-align:right;">
-sumEpcMWh
-</th>
-<th style="text-align:right;">
-beisEnergyMWh
-</th>
-<th style="text-align:right;">
-pc_missingHH
-</th>
-<th style="text-align:right;">
-pc_missingMeters
-</th>
-<th style="text-align:right;">
-pc_energyBEIS
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-Southampton 029
-</td>
-<td style="text-align:left;">
-E02003577
-</td>
-<td style="text-align:right;">
-4908
-</td>
-<td style="text-align:right;">
-6734
-</td>
-<td style="text-align:right;">
-5902
-</td>
-<td style="text-align:right;">
-37.92
-</td>
-<td style="text-align:right;">
-27.61
-</td>
-<td style="text-align:right;">
-43.09
-</td>
-<td style="text-align:right;">
-24.67
-</td>
-<td style="text-align:right;">
-77239.37
-</td>
-<td style="text-align:right;">
-47461.33
-</td>
-<td style="text-align:right;">
-120.3
-</td>
-<td style="text-align:right;">
-87.6
-</td>
-<td style="text-align:right;">
-162.7
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 023
-</td>
-<td style="text-align:left;">
-E02003571
-</td>
-<td style="text-align:right;">
-3040
-</td>
-<td style="text-align:right;">
-3530
-</td>
-<td style="text-align:right;">
-2958
-</td>
-<td style="text-align:right;">
-47.96
-</td>
-<td style="text-align:right;">
-20.23
-</td>
-<td style="text-align:right;">
-56.97
-</td>
-<td style="text-align:right;">
-21.48
-</td>
-<td style="text-align:right;">
-47763.66
-</td>
-<td style="text-align:right;">
-33485.69
-</td>
-<td style="text-align:right;">
-97.3
-</td>
-<td style="text-align:right;">
-83.8
-</td>
-<td style="text-align:right;">
-142.6
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 022
-</td>
-<td style="text-align:left;">
-E02003570
-</td>
-<td style="text-align:right;">
-3635
-</td>
-<td style="text-align:right;">
-4142
-</td>
-<td style="text-align:right;">
-3426
-</td>
-<td style="text-align:right;">
-25.56
-</td>
-<td style="text-align:right;">
-29.82
-</td>
-<td style="text-align:right;">
-45.69
-</td>
-<td style="text-align:right;">
-22.59
-</td>
-<td style="text-align:right;">
-58314.50
-</td>
-<td style="text-align:right;">
-49449.97
-</td>
-<td style="text-align:right;">
-94.3
-</td>
-<td style="text-align:right;">
-82.7
-</td>
-<td style="text-align:right;">
-117.9
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 017
-</td>
-<td style="text-align:left;">
-E02003565
-</td>
-<td style="text-align:right;">
-2563
-</td>
-<td style="text-align:right;">
-2840
-</td>
-<td style="text-align:right;">
-2403
-</td>
-<td style="text-align:right;">
-48.81
-</td>
-<td style="text-align:right;">
-11.63
-</td>
-<td style="text-align:right;">
-57.24
-</td>
-<td style="text-align:right;">
-28.95
-</td>
-<td style="text-align:right;">
-42564.50
-</td>
-<td style="text-align:right;">
-35191.63
-</td>
-<td style="text-align:right;">
-93.8
-</td>
-<td style="text-align:right;">
-84.6
-</td>
-<td style="text-align:right;">
-121.0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 031
-</td>
-<td style="text-align:left;">
-E02003579
-</td>
-<td style="text-align:right;">
-3357
-</td>
-<td style="text-align:right;">
-4460
-</td>
-<td style="text-align:right;">
-3112
-</td>
-<td style="text-align:right;">
-44.92
-</td>
-<td style="text-align:right;">
-11.56
-</td>
-<td style="text-align:right;">
-23.80
-</td>
-<td style="text-align:right;">
-63.09
-</td>
-<td style="text-align:right;">
-46142.79
-</td>
-<td style="text-align:right;">
-47913.06
-</td>
-<td style="text-align:right;">
-92.7
-</td>
-<td style="text-align:right;">
-69.8
-</td>
-<td style="text-align:right;">
-96.3
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 013
-</td>
-<td style="text-align:left;">
-E02003561
-</td>
-<td style="text-align:right;">
-3181
-</td>
-<td style="text-align:right;">
-3489
-</td>
-<td style="text-align:right;">
-2663
-</td>
-<td style="text-align:right;">
-39.80
-</td>
-<td style="text-align:right;">
-19.68
-</td>
-<td style="text-align:right;">
-44.73
-</td>
-<td style="text-align:right;">
-33.98
-</td>
-<td style="text-align:right;">
-49213.04
-</td>
-<td style="text-align:right;">
-38430.85
-</td>
-<td style="text-align:right;">
-83.7
-</td>
-<td style="text-align:right;">
-76.3
-</td>
-<td style="text-align:right;">
-128.1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 009
-</td>
-<td style="text-align:left;">
-E02003557
-</td>
-<td style="text-align:right;">
-2753
-</td>
-<td style="text-align:right;">
-3103
-</td>
-<td style="text-align:right;">
-2137
-</td>
-<td style="text-align:right;">
-50.78
-</td>
-<td style="text-align:right;">
-7.37
-</td>
-<td style="text-align:right;">
-38.98
-</td>
-<td style="text-align:right;">
-52.49
-</td>
-<td style="text-align:right;">
-47035.21
-</td>
-<td style="text-align:right;">
-42842.23
-</td>
-<td style="text-align:right;">
-77.6
-</td>
-<td style="text-align:right;">
-68.9
-</td>
-<td style="text-align:right;">
-109.8
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 020
-</td>
-<td style="text-align:left;">
-E02003568
-</td>
-<td style="text-align:right;">
-3820
-</td>
-<td style="text-align:right;">
-3900
-</td>
-<td style="text-align:right;">
-2959
-</td>
-<td style="text-align:right;">
-50.08
-</td>
-<td style="text-align:right;">
-4.53
-</td>
-<td style="text-align:right;">
-50.92
-</td>
-<td style="text-align:right;">
-42.93
-</td>
-<td style="text-align:right;">
-53455.26
-</td>
-<td style="text-align:right;">
-47024.09
-</td>
-<td style="text-align:right;">
-77.5
-</td>
-<td style="text-align:right;">
-75.9
-</td>
-<td style="text-align:right;">
-113.7
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 010
-</td>
-<td style="text-align:left;">
-E02003558
-</td>
-<td style="text-align:right;">
-2924
-</td>
-<td style="text-align:right;">
-3222
-</td>
-<td style="text-align:right;">
-2223
-</td>
-<td style="text-align:right;">
-33.96
-</td>
-<td style="text-align:right;">
-32.32
-</td>
-<td style="text-align:right;">
-25.82
-</td>
-<td style="text-align:right;">
-39.81
-</td>
-<td style="text-align:right;">
-38646.22
-</td>
-<td style="text-align:right;">
-34421.99
-</td>
-<td style="text-align:right;">
-76.0
-</td>
-<td style="text-align:right;">
-69.0
-</td>
-<td style="text-align:right;">
-112.3
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 021
-</td>
-<td style="text-align:left;">
-E02003569
-</td>
-<td style="text-align:right;">
-3527
-</td>
-<td style="text-align:right;">
-3999
-</td>
-<td style="text-align:right;">
-2671
-</td>
-<td style="text-align:right;">
-40.71
-</td>
-<td style="text-align:right;">
-15.00
-</td>
-<td style="text-align:right;">
-38.28
-</td>
-<td style="text-align:right;">
-44.32
-</td>
-<td style="text-align:right;">
-46809.22
-</td>
-<td style="text-align:right;">
-41380.67
-</td>
-<td style="text-align:right;">
-75.7
-</td>
-<td style="text-align:right;">
-66.8
-</td>
-<td style="text-align:right;">
-113.1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 015
-</td>
-<td style="text-align:left;">
-E02003563
-</td>
-<td style="text-align:right;">
-3483
-</td>
-<td style="text-align:right;">
-3818
-</td>
-<td style="text-align:right;">
-2551
-</td>
-<td style="text-align:right;">
-37.81
-</td>
-<td style="text-align:right;">
-21.79
-</td>
-<td style="text-align:right;">
-24.17
-</td>
-<td style="text-align:right;">
-51.79
-</td>
-<td style="text-align:right;">
-46440.94
-</td>
-<td style="text-align:right;">
-39920.85
-</td>
-<td style="text-align:right;">
-73.2
-</td>
-<td style="text-align:right;">
-66.8
-</td>
-<td style="text-align:right;">
-116.3
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 027
-</td>
-<td style="text-align:left;">
-E02003575
-</td>
-<td style="text-align:right;">
-2808
-</td>
-<td style="text-align:right;">
-2987
-</td>
-<td style="text-align:right;">
-2028
-</td>
-<td style="text-align:right;">
-29.59
-</td>
-<td style="text-align:right;">
-51.14
-</td>
-<td style="text-align:right;">
-8.23
-</td>
-<td style="text-align:right;">
-37.64
-</td>
-<td style="text-align:right;">
-36556.34
-</td>
-<td style="text-align:right;">
-28941.46
-</td>
-<td style="text-align:right;">
-72.2
-</td>
-<td style="text-align:right;">
-67.9
-</td>
-<td style="text-align:right;">
-126.3
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 007
-</td>
-<td style="text-align:left;">
-E02003555
-</td>
-<td style="text-align:right;">
-3140
-</td>
-<td style="text-align:right;">
-3763
-</td>
-<td style="text-align:right;">
-2261
-</td>
-<td style="text-align:right;">
-34.59
-</td>
-<td style="text-align:right;">
-30.96
-</td>
-<td style="text-align:right;">
-11.15
-</td>
-<td style="text-align:right;">
-56.15
-</td>
-<td style="text-align:right;">
-35182.76
-</td>
-<td style="text-align:right;">
-40416.83
-</td>
-<td style="text-align:right;">
-72.0
-</td>
-<td style="text-align:right;">
-60.1
-</td>
-<td style="text-align:right;">
-87.0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 005
-</td>
-<td style="text-align:left;">
-E02003553
-</td>
-<td style="text-align:right;">
-2394
-</td>
-<td style="text-align:right;">
-2464
-</td>
-<td style="text-align:right;">
-1686
-</td>
-<td style="text-align:right;">
-39.01
-</td>
-<td style="text-align:right;">
-25.44
-</td>
-<td style="text-align:right;">
-40.27
-</td>
-<td style="text-align:right;">
-32.00
-</td>
-<td style="text-align:right;">
-31931.92
-</td>
-<td style="text-align:right;">
-33476.91
-</td>
-<td style="text-align:right;">
-70.4
-</td>
-<td style="text-align:right;">
-68.4
-</td>
-<td style="text-align:right;">
-95.4
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 014
-</td>
-<td style="text-align:left;">
-E02003562
-</td>
-<td style="text-align:right;">
-3636
-</td>
-<td style="text-align:right;">
-3921
-</td>
-<td style="text-align:right;">
-2513
-</td>
-<td style="text-align:right;">
-45.68
-</td>
-<td style="text-align:right;">
-9.13
-</td>
-<td style="text-align:right;">
-29.24
-</td>
-<td style="text-align:right;">
-59.19
-</td>
-<td style="text-align:right;">
-47112.87
-</td>
-<td style="text-align:right;">
-51289.66
-</td>
-<td style="text-align:right;">
-69.1
-</td>
-<td style="text-align:right;">
-64.1
-</td>
-<td style="text-align:right;">
-91.9
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 032
-</td>
-<td style="text-align:left;">
-E02003580
-</td>
-<td style="text-align:right;">
-2617
-</td>
-<td style="text-align:right;">
-2825
-</td>
-<td style="text-align:right;">
-1786
-</td>
-<td style="text-align:right;">
-27.21
-</td>
-<td style="text-align:right;">
-55.48
-</td>
-<td style="text-align:right;">
-6.65
-</td>
-<td style="text-align:right;">
-35.69
-</td>
-<td style="text-align:right;">
-30591.72
-</td>
-<td style="text-align:right;">
-24488.16
-</td>
-<td style="text-align:right;">
-68.2
-</td>
-<td style="text-align:right;">
-63.2
-</td>
-<td style="text-align:right;">
-124.9
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 025
-</td>
-<td style="text-align:left;">
-E02003573
-</td>
-<td style="text-align:right;">
-3236
-</td>
-<td style="text-align:right;">
-3470
-</td>
-<td style="text-align:right;">
-2106
-</td>
-<td style="text-align:right;">
-29.57
-</td>
-<td style="text-align:right;">
-43.54
-</td>
-<td style="text-align:right;">
-6.12
-</td>
-<td style="text-align:right;">
-47.84
-</td>
-<td style="text-align:right;">
-38983.67
-</td>
-<td style="text-align:right;">
-41714.91
-</td>
-<td style="text-align:right;">
-65.1
-</td>
-<td style="text-align:right;">
-60.7
-</td>
-<td style="text-align:right;">
-93.5
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 003
-</td>
-<td style="text-align:left;">
-E02003551
-</td>
-<td style="text-align:right;">
-2256
-</td>
-<td style="text-align:right;">
-2446
-</td>
-<td style="text-align:right;">
-1456
-</td>
-<td style="text-align:right;">
-33.69
-</td>
-<td style="text-align:right;">
-38.96
-</td>
-<td style="text-align:right;">
-15.29
-</td>
-<td style="text-align:right;">
-42.95
-</td>
-<td style="text-align:right;">
-27406.13
-</td>
-<td style="text-align:right;">
-26316.61
-</td>
-<td style="text-align:right;">
-64.5
-</td>
-<td style="text-align:right;">
-59.5
-</td>
-<td style="text-align:right;">
-104.1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 012
-</td>
-<td style="text-align:left;">
-E02003560
-</td>
-<td style="text-align:right;">
-3040
-</td>
-<td style="text-align:right;">
-3191
-</td>
-<td style="text-align:right;">
-1952
-</td>
-<td style="text-align:right;">
-26.97
-</td>
-<td style="text-align:right;">
-53.52
-</td>
-<td style="text-align:right;">
-8.75
-</td>
-<td style="text-align:right;">
-36.12
-</td>
-<td style="text-align:right;">
-33850.25
-</td>
-<td style="text-align:right;">
-34252.94
-</td>
-<td style="text-align:right;">
-64.2
-</td>
-<td style="text-align:right;">
-61.2
-</td>
-<td style="text-align:right;">
-98.8
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 006
-</td>
-<td style="text-align:left;">
-E02003554
-</td>
-<td style="text-align:right;">
-2646
-</td>
-<td style="text-align:right;">
-2873
-</td>
-<td style="text-align:right;">
-1684
-</td>
-<td style="text-align:right;">
-46.49
-</td>
-<td style="text-align:right;">
-14.55
-</td>
-<td style="text-align:right;">
-21.05
-</td>
-<td style="text-align:right;">
-63.00
-</td>
-<td style="text-align:right;">
-35551.16
-</td>
-<td style="text-align:right;">
-39712.77
-</td>
-<td style="text-align:right;">
-63.6
-</td>
-<td style="text-align:right;">
-58.6
-</td>
-<td style="text-align:right;">
-89.5
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 004
-</td>
-<td style="text-align:left;">
-E02003552
-</td>
-<td style="text-align:right;">
-2646
-</td>
-<td style="text-align:right;">
-2809
-</td>
-<td style="text-align:right;">
-1653
-</td>
-<td style="text-align:right;">
-28.12
-</td>
-<td style="text-align:right;">
-47.47
-</td>
-<td style="text-align:right;">
-9.26
-</td>
-<td style="text-align:right;">
-40.97
-</td>
-<td style="text-align:right;">
-30037.47
-</td>
-<td style="text-align:right;">
-28051.01
-</td>
-<td style="text-align:right;">
-62.5
-</td>
-<td style="text-align:right;">
-58.8
-</td>
-<td style="text-align:right;">
-107.1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 028
-</td>
-<td style="text-align:left;">
-E02003576
-</td>
-<td style="text-align:right;">
-3434
-</td>
-<td style="text-align:right;">
-3614
-</td>
-<td style="text-align:right;">
-2121
-</td>
-<td style="text-align:right;">
-38.99
-</td>
-<td style="text-align:right;">
-22.83
-</td>
-<td style="text-align:right;">
-18.58
-</td>
-<td style="text-align:right;">
-56.41
-</td>
-<td style="text-align:right;">
-39567.93
-</td>
-<td style="text-align:right;">
-44100.48
-</td>
-<td style="text-align:right;">
-61.8
-</td>
-<td style="text-align:right;">
-58.7
-</td>
-<td style="text-align:right;">
-89.7
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 018
-</td>
-<td style="text-align:left;">
-E02003566
-</td>
-<td style="text-align:right;">
-2607
-</td>
-<td style="text-align:right;">
-2831
-</td>
-<td style="text-align:right;">
-1604
-</td>
-<td style="text-align:right;">
-35.21
-</td>
-<td style="text-align:right;">
-29.84
-</td>
-<td style="text-align:right;">
-8.36
-</td>
-<td style="text-align:right;">
-59.42
-</td>
-<td style="text-align:right;">
-27084.70
-</td>
-<td style="text-align:right;">
-36047.76
-</td>
-<td style="text-align:right;">
-61.5
-</td>
-<td style="text-align:right;">
-56.7
-</td>
-<td style="text-align:right;">
-75.1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 016
-</td>
-<td style="text-align:left;">
-E02003564
-</td>
-<td style="text-align:right;">
-3474
-</td>
-<td style="text-align:right;">
-3563
-</td>
-<td style="text-align:right;">
-2124
-</td>
-<td style="text-align:right;">
-39.38
-</td>
-<td style="text-align:right;">
-22.54
-</td>
-<td style="text-align:right;">
-12.09
-</td>
-<td style="text-align:right;">
-63.39
-</td>
-<td style="text-align:right;">
-42670.04
-</td>
-<td style="text-align:right;">
-43718.49
-</td>
-<td style="text-align:right;">
-61.1
-</td>
-<td style="text-align:right;">
-59.6
-</td>
-<td style="text-align:right;">
-97.6
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 001
-</td>
-<td style="text-align:left;">
-E02003549
-</td>
-<td style="text-align:right;">
-2849
-</td>
-<td style="text-align:right;">
-2832
-</td>
-<td style="text-align:right;">
-1737
-</td>
-<td style="text-align:right;">
-52.37
-</td>
-<td style="text-align:right;">
-11.23
-</td>
-<td style="text-align:right;">
-25.06
-</td>
-<td style="text-align:right;">
-62.06
-</td>
-<td style="text-align:right;">
-41456.28
-</td>
-<td style="text-align:right;">
-49676.93
-</td>
-<td style="text-align:right;">
-61.0
-</td>
-<td style="text-align:right;">
-61.3
-</td>
-<td style="text-align:right;">
-83.5
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 002
-</td>
-<td style="text-align:left;">
-E02003550
-</td>
-<td style="text-align:right;">
-3216
-</td>
-<td style="text-align:right;">
-3527
-</td>
-<td style="text-align:right;">
-1923
-</td>
-<td style="text-align:right;">
-43.10
-</td>
-<td style="text-align:right;">
-21.05
-</td>
-<td style="text-align:right;">
-11.04
-</td>
-<td style="text-align:right;">
-66.08
-</td>
-<td style="text-align:right;">
-36473.86
-</td>
-<td style="text-align:right;">
-41124.17
-</td>
-<td style="text-align:right;">
-59.8
-</td>
-<td style="text-align:right;">
-54.5
-</td>
-<td style="text-align:right;">
-88.7
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 019
-</td>
-<td style="text-align:left;">
-E02003567
-</td>
-<td style="text-align:right;">
-2991
-</td>
-<td style="text-align:right;">
-3200
-</td>
-<td style="text-align:right;">
-1780
-</td>
-<td style="text-align:right;">
-39.18
-</td>
-<td style="text-align:right;">
-27.28
-</td>
-<td style="text-align:right;">
-14.11
-</td>
-<td style="text-align:right;">
-56.80
-</td>
-<td style="text-align:right;">
-33242.61
-</td>
-<td style="text-align:right;">
-43448.21
-</td>
-<td style="text-align:right;">
-59.5
-</td>
-<td style="text-align:right;">
-55.6
-</td>
-<td style="text-align:right;">
-76.5
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 026
-</td>
-<td style="text-align:left;">
-E02003574
-</td>
-<td style="text-align:right;">
-3412
-</td>
-<td style="text-align:right;">
-3599
-</td>
-<td style="text-align:right;">
-1972
-</td>
-<td style="text-align:right;">
-40.77
-</td>
-<td style="text-align:right;">
-11.78
-</td>
-<td style="text-align:right;">
-13.66
-</td>
-<td style="text-align:right;">
-71.72
-</td>
-<td style="text-align:right;">
-37590.51
-</td>
-<td style="text-align:right;">
-45562.64
-</td>
-<td style="text-align:right;">
-57.8
-</td>
-<td style="text-align:right;">
-54.8
-</td>
-<td style="text-align:right;">
-82.5
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 030
-</td>
-<td style="text-align:left;">
-E02003578
-</td>
-<td style="text-align:right;">
-2641
-</td>
-<td style="text-align:right;">
-2830
-</td>
-<td style="text-align:right;">
-1519
-</td>
-<td style="text-align:right;">
-44.07
-</td>
-<td style="text-align:right;">
-10.64
-</td>
-<td style="text-align:right;">
-15.68
-</td>
-<td style="text-align:right;">
-72.13
-</td>
-<td style="text-align:right;">
-27635.37
-</td>
-<td style="text-align:right;">
-36572.30
-</td>
-<td style="text-align:right;">
-57.5
-</td>
-<td style="text-align:right;">
-53.7
-</td>
-<td style="text-align:right;">
-75.6
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 024
-</td>
-<td style="text-align:left;">
-E02003572
-</td>
-<td style="text-align:right;">
-2484
-</td>
-<td style="text-align:right;">
-2597
-</td>
-<td style="text-align:right;">
-1367
-</td>
-<td style="text-align:right;">
-45.61
-</td>
-<td style="text-align:right;">
-8.13
-</td>
-<td style="text-align:right;">
-15.46
-</td>
-<td style="text-align:right;">
-75.28
-</td>
-<td style="text-align:right;">
-30084.88
-</td>
-<td style="text-align:right;">
-39680.38
-</td>
-<td style="text-align:right;">
-55.0
-</td>
-<td style="text-align:right;">
-52.6
-</td>
-<td style="text-align:right;">
-75.8
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 011
-</td>
-<td style="text-align:left;">
-E02003559
-</td>
-<td style="text-align:right;">
-3065
-</td>
-<td style="text-align:right;">
-3165
-</td>
-<td style="text-align:right;">
-1678
-</td>
-<td style="text-align:right;">
-53.38
-</td>
-<td style="text-align:right;">
-5.97
-</td>
-<td style="text-align:right;">
-15.14
-</td>
-<td style="text-align:right;">
-76.70
-</td>
-<td style="text-align:right;">
-42375.46
-</td>
-<td style="text-align:right;">
-55256.20
-</td>
-<td style="text-align:right;">
-54.7
-</td>
-<td style="text-align:right;">
-53.0
-</td>
-<td style="text-align:right;">
-76.7
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Southampton 008
-</td>
-<td style="text-align:left;">
-E02003556
-</td>
-<td style="text-align:right;">
-2471
-</td>
-<td style="text-align:right;">
-2589
-</td>
-<td style="text-align:right;">
-1321
-</td>
-<td style="text-align:right;">
-42.57
-</td>
-<td style="text-align:right;">
-12.51
-</td>
-<td style="text-align:right;">
-16.15
-</td>
-<td style="text-align:right;">
-70.42
-</td>
-<td style="text-align:right;">
-27488.33
-</td>
-<td style="text-align:right;">
-35612.03
-</td>
-<td style="text-align:right;">
-53.5
-</td>
-<td style="text-align:right;">
-51.0
-</td>
-<td style="text-align:right;">
-77.2
-</td>
-</tr>
-</tbody>
-</table>
-<pre class="r"><code>ggplot2::ggplot(t, aes(x = pc_missingHH,
- y = pc_missingMeters,
- colour = round(ownerOcc_pc))) +
- geom_abline(alpha = 0.2, slope=1, intercept=0) +
- geom_point() +
- scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
- #theme(legend.position = "bottom") +
- labs(x = "EPCs 2020 as % of Census 2011 households",
- y = "EPCs 2020 as % of electricity meters 2018",
- caption = "x = y line included for clarity")</code></pre>
-<div class="figure"><span id="fig:missingEPCbyMSOA"></span>
-<img src="data:image/png;base64,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" alt="% 'missing' rates comparison" width="672" />
-<p class="caption">
-Figure 2.1: % ‘missing’ rates comparison
-</p>
-</div>
-<pre class="r"><code>outlierMSOA <- t[pc_missingHH > 100]</code></pre>
-<p>Figure <a href="#tab:missingEPCbyMSOA">2.4</a> suggests that rates vary considerably by MSOA but are relatively consistent across the two baseline ‘truth’ estimates with the exception of E02003577 which appears to have many more EPCs than Census 2011 households. It is worth noting that <a href="https://www.localhealth.org.uk/#c=report&chapter=c01&report=r01&selgeo1=msoa_2011.E02003577&selgeo2=eng.E92000001">this MSOA</a> covers the city centre and dock areas which have had substantial new build since 2011 and so may have households inhabiting dwellings that did not exist at Census 2011. This is also supported by the considerably higher EPC derived energy demand data compared to BEIS’s 2018 data - although it suggests the dwellings are either very new (since 2018) or are yet to be occupied.</p>
-<p>As we would expect those MSOAs with the lowest EPC coverage on both baseline measures tend to have higher proportions of owner occupiers.</p>
-<p>We can use the same approach to compare estimates of total energy demand at the MSOA level. To do this we compare:</p>
-<ul>
-<li>estimated total energy demand in MWh/year derived from the EPC estimates. This energy only relates to <code>current primary energy</code> (space heating, hot water and lighting) and of course also suffers from missing EPCs (see above)</li>
-<li>observed electricity and gas demand collated by BEIS for their sub-national statistical series. This applies to all domestic energy demand but the most recent data is for 2018 so will suffer from the absence of dwellings that are present in the most recent EPC data (see above).</li>
-</ul>
-<p>We should therefore not expect the values to match but we might reasonably expect a correlation.</p>
-<pre class="r"><code>ggplot2::ggplot(t, aes(x = sumEpcMWh,
- y = beisEnergyMWh,
- colour = round(ownerOcc_pc))) +
- geom_abline(alpha = 0.2, slope=1, intercept=0) +
- geom_point() +
- scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
- #theme(legend.position = "bottom") +
- labs(x = "EPC 2020 derived total MWh/year",
- y = "BEIS 2018 derived total MWh/year",
- caption = "x = y line included for clarity")</code></pre>
-<div class="figure"><span id="fig:energyMSOAPlot"></span>
-<img 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" alt="Energy demand comparison" width="672" />
-<p class="caption">
-Figure 2.2: Energy demand comparison
-</p>
-</div>
-<pre class="r"><code>outlier <- t[sumEpcMWh > 70000]</code></pre>
-<p><a href="#fig:energyMSOAPlot">2.2</a> shows that both of these are true. MSOAs with a high proportion of owner occupiers (and therefore more likely to have missing EPCs) tend to have higher observed energy demand than the EOC data suggests - they are above the reference line. MSOAs with a lower proportion of owner occupiers (and therefore more likely to have more complete EPC coverage) tend to be on or below the line. As before we have the same notable outlier (E02003577) and for the same reasons… In this case this produces a much higher energy demand estimate than the BEIS 2018 data records</p>
-</div>
-<div id="check-energy_consumption_current" class="section level2">
-<h2><span class="header-section-number">2.2</span> Check ENERGY_CONSUMPTION_CURRENT</h2>
-<p>We recode the current energy consumption into categories for comparison with other low values and the presence of wind turbines/PV. We use -ve, 0 and 1 kWh as the thresholds of interest.</p>
-<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = ENERGY_CONSUMPTION_CURRENT)) +
- geom_histogram(binwidth = 5) +
- facet_wrap(~TENURE) +
- geom_vline(xintercept = 0)</code></pre>
-<div class="figure"><span id="fig:checkEnergy"></span>
-<img 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" alt="Histogram of ENERGY_CONSUMPTION_CURRENT" width="672" />
-<p class="caption">
-Figure 2.3: Histogram of ENERGY_CONSUMPTION_CURRENT
-</p>
-</div>
-<pre class="r"><code>underZero <- nrow(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0])
-
-t <- with(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0],
- table(BUILT_FORM,TENURE))
-
-
-kableExtra::kable(t, caption = "Properties with ENERGY_CONSUMPTION_CURRENT < 0")</code></pre>
-<table>
-<caption>
-<span id="tab:checkEnergy">Table 2.5: </span>Properties with ENERGY_CONSUMPTION_CURRENT < 0
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-</th>
-<th style="text-align:right;">
-</th>
-<th style="text-align:right;">
-owner-occupied
-</th>
-<th style="text-align:right;">
-rental (social)
-</th>
-<th style="text-align:right;">
-unknown
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-Detached
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-End-Terrace
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Mid-Terrace
-</td>
-<td style="text-align:right;">
-3
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-NO DATA!
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-2
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Semi-Detached
-</td>
-<td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-</tr>
-</tbody>
-</table>
-<pre class="r"><code># do we think this is caused by solar/wind?
-sotonUniqueEPCsDT[, hasWind := ifelse(WIND_TURBINE_COUNT > 0, "Yes", "No")]
-#table(sotonUniqueEPCsDT$hasWind)
-sotonUniqueEPCsDT[, hasPV := ifelse(PHOTO_SUPPLY >0, "Yes", "No")]
-#table(sotonUniqueEPCsDT$hasPV)
-sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT < 0, "-ve kWh/y", NA)]
-sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT == 0, "0 kWh/y", consFlag)]
-sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 0 &
- ENERGY_CONSUMPTION_CURRENT <= 1, "0-1 kWh/y", consFlag)]
-sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 1, "1+ kWh/y", consFlag)]
-
-t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(consFlag, hasWind, hasPV)]
-
-kableExtra::kable(t, caption = "Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration")</code></pre>
-<table>
-<caption>
-<span id="tab:checkEnergy">Table 2.5: </span>Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-consFlag
-</th>
-<th style="text-align:left;">
-hasWind
-</th>
-<th style="text-align:left;">
-hasPV
-</th>
-<th style="text-align:right;">
-nObs
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
--ve kWh/y
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-5
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
--ve kWh/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-15
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0 kWh/y
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0 kWh/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ kWh/y
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-5550
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ kWh/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-33018
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ kWh/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-32529
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ kWh/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:right;">
-447
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ kWh/y
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-6
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ kWh/y
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-28
-</td>
-</tr>
-</tbody>
-</table>
-<p>There are only 20 dwellings where ENERGY_CONSUMPTION_CURRENT < 0 and none of them seem to have PV or a wind turbine so we can probably ignore them.</p>
-<pre class="r"><code># repeat with a density plot to allow easy overlap
-# exclude those with no data
-ggplot2::ggplot(sotonUniqueEPCsDT[TENURE != "NO DATA!" &
- TENURE != "unknown" &
- TENURE != ""], aes(x = ENERGY_CONSUMPTION_CURRENT,
- fill = TENURE, alpha = 0.2)) +
- geom_density() +
- facet_wrap(~BUILT_FORM) +
- guides(alpha = FALSE) +
- theme(legend.position = "bottom")</code></pre>
-<div class="figure"><span id="fig:energyTenure"></span>
-<img src="data:image/png;base64,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" alt="Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form" width="672" />
-<p class="caption">
-Figure 2.4: Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form
-</p>
-</div>
-</div>
-<div id="check-co2_emissions_current" class="section level2">
-<h2><span class="header-section-number">2.3</span> Check CO2_EMISSIONS_CURRENT</h2>
-<p>Next we do the same for current emissions. Repeat the coding for total floor area using 0 and 1 TCO2/y as the threshold of interest.</p>
-<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = CO2_EMISSIONS_CURRENT)) +
- geom_histogram(binwidth = 1)</code></pre>
-<div class="figure"><span id="fig:checkEmissions"></span>
-<img 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" alt="Histogram of CO2_EMISSIONS_CURRENT" width="672" />
-<p class="caption">
-Figure 2.5: Histogram of CO2_EMISSIONS_CURRENT
-</p>
-</div>
-<pre class="r"><code>nZeroEmissions <- nrow(sotonUniqueEPCsDT[CO2_EMISSIONS_CURRENT < 0])
-
-sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT < 0, "-ve CO2/y", NA)]
-sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT == 0, "0 CO2/y", emissionsFlag)]
-sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 0 &
- CO2_EMISSIONS_CURRENT <= 1, "0-1 TCO2/y", emissionsFlag)]
-sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 1, "1+ TCO2/y", emissionsFlag)]
-
-t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(emissionsFlag, hasWind, hasPV)]
-
-kableExtra::kable(t, caption = "Properties with CO2_EMISSIONS_CURRENT < 0 by presence of microgeneration")</code></pre>
-<table>
-<caption>
-<span id="tab:checkEmissions">Table 2.6: </span>Properties with CO2_EMISSIONS_CURRENT < 0 by presence of microgeneration
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-emissionsFlag
-</th>
-<th style="text-align:left;">
-hasWind
-</th>
-<th style="text-align:left;">
-hasPV
-</th>
-<th style="text-align:right;">
-nObs
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
--ve CO2/y
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-4
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
--ve CO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-16
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
--ve CO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-2
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0 CO2/y
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-5
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0 CO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-1 TCO2/y
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-3446
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-1 TCO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-1916
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-1 TCO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-533
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-1 TCO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:right;">
-19
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-1 TCO2/y
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-1 TCO2/y
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ TCO2/y
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-2101
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ TCO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-31101
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ TCO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-31994
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ TCO2/y
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:right;">
-428
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ TCO2/y
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-5
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ TCO2/y
-</td>
-<td style="text-align:left;">
-Yes
-</td>
-<td style="text-align:left;">
-No
-</td>
-<td style="text-align:right;">
-27
-</td>
-</tr>
-</tbody>
-</table>
-<pre class="r"><code>kableExtra::kable(round(100*(prop.table(table(sotonUniqueEPCsDT$emissionsFlag,
- sotonUniqueEPCsDT$consFlag,
- useNA = "always")
- )
- )
- ,2)
- , caption = "% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories")</code></pre>
-<table>
-<caption>
-<span id="tab:checkEmissions">Table 2.6: </span>% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-</th>
-<th style="text-align:right;">
--ve kWh/y
-</th>
-<th style="text-align:right;">
-0 kWh/y
-</th>
-<th style="text-align:right;">
-1+ kWh/y
-</th>
-<th style="text-align:right;">
-NA
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
--ve CO2/y
-</td>
-<td style="text-align:right;">
-0.03
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0 CO2/y
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-1 TCO2/y
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-8.26
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-1+ TCO2/y
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-91.70
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-</tbody>
-</table>
-<p>There are 22 properties with 0 or negative emissions. It looks like they are also the properties with -ve kWh as we might expect. So we can safely ignore them.</p>
-</div>
-<div id="check-environment_impact_current" class="section level2">
-<h2><span class="header-section-number">2.4</span> Check ENVIRONMENT_IMPACT_CURRENT</h2>
-<p><code>Environmental impact</code> should decrease as emissions increase.</p>
-<pre class="r"><code>ggplot2::ggplot(allEPCs_DT, aes(x = ENVIRONMENT_IMPACT_CURRENT)) +
- geom_histogram()</code></pre>
-<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
-<div class="figure"><span id="fig:checkImpact"></span>
-<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAYAAAD0ZtPZAAAEGWlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPrtzZyMkzlNsNIV0qD8NJQ2TVjShtLp/3d02bpZJNtoi6GT27s6Yyc44M7v9oU9FUHwx6psUxL+3gCAo9Q/bPrQvlQol2tQgKD60+INQ6Ium65k7M5lpurHeZe58853vnnvuuWfvBei5qliWkRQBFpquLRcy4nOHj4g9K5CEh6AXBqFXUR0rXalMAjZPC3e1W99Dwntf2dXd/p+tt0YdFSBxH2Kz5qgLiI8B8KdVy3YBevqRHz/qWh72Yui3MUDEL3q44WPXw3M+fo1pZuQs4tOIBVVTaoiXEI/MxfhGDPsxsNZfoE1q66ro5aJim3XdoLFw72H+n23BaIXzbcOnz5mfPoTvYVz7KzUl5+FRxEuqkp9G/Ajia219thzg25abkRE/BpDc3pqvphHvRFys2weqvp+krbWKIX7nhDbzLOItiM8358pTwdirqpPFnMF2xLc1WvLyOwTAibpbmvHHcvttU57y5+XqNZrLe3lE/Pq8eUj2fXKfOe3pfOjzhJYtB/yll5SDFcSDiH+hRkH25+L+sdxKEAMZahrlSX8ukqMOWy/jXW2m6M9LDBc31B9LFuv6gVKg/0Szi3KAr1kGq1GMjU/aLbnq6/lRxc4XfJ98hTargX++DbMJBSiYMIe9Ck1YAxFkKEAG3xbYaKmDDgYyFK0UGYpfoWYXG+fAPPI6tJnNwb7ClP7IyF+D+bjOtCpkhz6CFrIa/I6sFtNl8auFXGMTP34sNwI/JhkgEtmDz14ySfaRcTIBInmKPE32kxyyE2Tv+thKbEVePDfW/byMM1Kmm0XdObS7oGD/MypMXFPXrCwOtoYjyyn7BV29/MZfsVzpLDdRtuIZnbpXzvlf+ev8MvYr/Gqk4H/kV/G3csdazLuyTMPsbFhzd1UabQbjFvDRmcWJxR3zcfHkVw9GfpbJmeev9F08WW8uDkaslwX6avlWGU6NRKz0g/SHtCy9J30o/ca9zX3Kfc19zn3BXQKRO8ud477hLnAfc1/G9mrzGlrfexZ5GLdn6ZZrrEohI2wVHhZywjbhUWEy8icMCGNCUdiBlq3r+xafL549HQ5jH+an+1y+LlYBifuxAvRN/lVVVOlwlCkdVm9NOL5BE4wkQ2SMlDZU97hX86EilU/lUmkQUztTE6mx1EEPh7OmdqBtAvv8HdWpbrJS6tJj3n0CWdM6busNzRV3S9KTYhqvNiqWmuroiKgYhshMjmhTh9ptWhsF7970j/SbMrsPE1suR5z7DMC+P/Hs+y7ijrQAlhyAgccjbhjPygfeBTjzhNqy28EdkUh8C+DU9+z2v/oyeH791OncxHOs5y2AtTc7nb/f73TWPkD/qwBnjX8BoJ98VQNcC+8AAAA4ZVhJZk1NACoAAAAIAAGHaQAEAAAAAQAAABoAAAAAAAKgAgAEAAAAAQAABUCgAwAEAAAAAQAAA8AAAAAAthHDUQAAQABJREFUeAHs3QuQXXV9B/B/kk2yeScmBAIlPCQNDJQJhgFkqkCwPEqlykilUy2slOLEaqFlKA5FGKA4g6MgdaotlMhUMu1oi1YDdAYhAg0jNYLYREoggIgtkpj35p3U/9G7bvbuuXv27tnlPD5nZsm95/zPOf//53dzuPvNeYza/4spmAgQIECAAAECBAgQIECAAAECBAgQIFBBgdEVHJMhESBAgAABAgQIECBAgAABAgQIECBAIBEQgPogECBAgAABAgQIECBAgAABAgQIECBQWQEBaGVLa2AECBAgQIAAAQIECBAgQIAAAQIECAhAfQYIECBAgAABAgQIECBAgAABAgQIEKisgAC0sqU1MAIECBAgQIAAAQIECBAgQIAAAQIEBKA+AwQIECBAgAABAgQIECBAgAABAgQIVFZAAFrZ0hoYAQIECBAgQIAAAQIECBAgQIAAAQICUJ8BAgQIECBAgAABAgQIECBAgAABAgQqKyAArWxpDYwAAQIECBAgQIAAAQIECBAgQIAAAQGozwABAgQIECBAgAABAgQIECBAgAABApUVEIBWtrQGRoAAAQIECBAgQIAAAQIECBAgQICAANRngAABAgQIECBAgAABAgQIECBAgACBygoIQCtbWgMjQIAAAQIECBAgQIAAAQIECBAgQEAA6jNAgAABAgQIECBAgAABAgQIECBAgEBlBToqO7KaDWzz5s1h27ZtNRt19uF2dnaGGTNmJCts2bIlbN26NfvKWtZSYMyYMWH27Nlh/fr1YdeuXbU0MOjsAhMmTAjTp09PVnA8zu5W55YdHR3hoIMOCuvWrQu7d++uM4WxZxCYOHFimDZtWtJy06ZNobu7O8NamtRZYOzYsWHWrFmOMXX+EAxi7JMmTQpTp05N1nCMGQRcjZuOGzcuzJw5M7z55pthz549NZYw9CwCvY8xGzduDNu3b8+yWr9t5syZ0+/8LDOdAZpFSRsCBAgQIECAAAECBAgQIECAAAECBEopIAAtZdl0mgABAgQIECBAgAABAgQIECBAgACBLAIC0CxK2hAgQIAAAQIECBAgQIAAAQIECBAgUEoBAWgpy6bTBAgQIECAAAECBAgQIECAAAECBAhkERCAZlHShgABAgQIECBAgAABAgQIECBAgACBUgoIQEtZNp0mQIAAAQIECBAgQIAAAQIECBAgQCCLgAA0i5I2BAgQIECAAAECBAgQIECAAAECBAiUUkAAWsqy6TQBAgQIECBAgAABAgQIECBAgAABAlkEBKBZlLQhQIAAAQIECBAgQIAAAQIECBAgQKCUAgLQUpZNpwkQIECAAAECBAgQIECAAAECBAgQyCIgAM2ipA0BAgQIECBAgAABAgQIECBAgAABAqUUEICWsmw6TYAAAQIECBAgQIAAAQIECBAgQIBAFgEBaBYlbQgQIECAAAECBAgQIECAAAECBAgQKKWAALSUZdNpAgQIECBAgAABAgQIECBAgAABAgSyCAhAsyhpQ4AAAQIECBAgQIAAAQIECBAgQIBAKQUEoKUsm04TIECAAAECBAgQIECAAAECBAgQIJBFQACaRUkbAgQIECBAgAABAgQIECBAgAABAgRKKSAALWXZdJoAAQIECBAgQIAAAQIECBAgQIAAgSwCAtAsStoQIECAAAECBAgQIECAAAECBAgQIFBKAQFoKcum0wQIECBAgAABAgQIECBAgAABAgQIZBEQgGZR0oYAAQIECBAgQIAAAQIECBAgQIAAgVIKCEBLWTadJkCAAAECBAgQIECAAAECBAgQIEAgi4AANIuSNgQIECBAgAABAgQIECBAgAABAgQIlFJAAFrKsuk0AQIECBAgQIAAAQIECBAgQIAAAQJZBASgWZS0IUCAAAECBAgQIECAAAECBAgQIECglAIC0FKWTacJECBAgAABAgQIECBAgAABAgQIEMgiIADNoqQNAQIECBAgQIAAAQIECBAgQIAAAQKlFBCAlrJsOk2AAAECBAgQIECAAAECBAgQIECAQBYBAWgWJW0IECBAgAABAgQIECBAgAABAgQIECilgAC0lGXTaQIECBAgQIAAAQIECBAgQIAAAQIEsggIQLMoaUOAAAECBAgQIECAAAECBAgQIECAQCkFBKClLJtOEyBAgAABAgQIECBAgAABAgQIECCQRUAAmkVJGwIECBAgQIAAAQIECBAgQIAAAQIESikgAC1l2XSaAAECBAgQIECAAAECBAgQIECAAIEsAgLQLEraECBAgAABAgQIECBAgAABAgQIECBQSgEBaCnLptMECBAgQIAAAQIECBAgQIAAAQIECGQREIBmUdKGAAECBAgQIECAAAECBAgQIECAAIFSCghAS1k2nSZAgAABAgQIECBAgAABAgQIECBAIItAR5ZG2hAgQIAAAQIECBAgQKAdga6urnZWG7Z1lixZMmzbtmECBAgQIECgmALOAC1mXfSKAAECBAgQIECAAAECBAgQIECAAIEcBASgOSDaBAECBAgQIECAAAECBAgQIECAAAECxRQQgBazLnpFgAABAgQIECBAgAABAgQIECBAgEAOAgLQHBBtggABAgQIECBAgAABAgQIECBAgACBYgoIQItZF70iQIAAAQIECBAgQIAAAQIECBAgQCAHAQFoDog2QYAAAQIECBAgQIAAAQIECBAgQIBAMQUEoMWsi14RIECAAAECBAgQIECAAAECBAgQIJCDgAA0B0SbIECAAAECBAgQIECAAAECBAgQIECgmAIC0GLWRa8IECBAgAABAgQIECBAgAABAgQIEMhBQACaA6JNECBAgAABAgQIECBAgAABAgQIECBQTAEBaDHrolcECBAgQIAAAQIECBAgQIAAAQIECOQgIADNAdEmCBAgQIAAAQIECBAgQIAAAQIECBAopoAAtJh10SsCBAgQIECAAAECBAgQIECAAAECBHIQEIDmgGgTBAgQIECAAAECBAgQIECAAAECBAgUU0AAWsy66BUBAgQIECBAgAABAgQIECBAgAABAjkICEBzQLQJAgQIECBAgAABAgQIECBAgAABAgSKKSAALWZd9IoAAQIECBAgQIAAAQIECBAgQIAAgRwEBKA5INoEAQIECBAgQIAAAQIECBAgQIAAAQLFFBCAFrMuekWAAAECBAgQIECAAAECBAgQIECAQA4CAtAcEG2CAAECBAgQIECAAAECBAgQIECAAIFiCghAi1kXvSJAgAABAgQIECBAgAABAgQIECBAIAcBAWgOiDZBgAABAgQIECBAgAABAgQIECBAgEAxBQSgxayLXhEgQIAAAQIECBAgQIAAAQIECBAgkIOAADQHRJsgQIAAAQIECBAgQIAAAQIECBAgQKCYAgLQYtZFrwgQIECAAAECBAgQIECAAAECBAgQyEFAAJoDok0QIECAAAECBAgQIECAAAECBAgQIFBMAQFoMeuiVwQIECBAgAABAgQIECBAgAABAgQI5CAgAM0B0SYIECBAgAABAgQIECBAgAABAgQIECimgAC0mHXRKwIECBAgQIAAAQIECBAgQIAAAQIEchAQgOaAaBMECBAgQIAAAQIECBAgQIAAAQIECBRTQABazLroFQECBAgQIECAAAECBAgQIECAAAECOQgIQHNAtAkCBAgQIECAAAECBAgQIECAAAECBIopIAAtZl30igABAgQIECBAgAABAgQIECBAgACBHAQEoDkg2gQBAgQIECBAgAABAgQIECBAgAABAsUUEIAWsy56RYAAAQIECBAgQIAAAQIECBAgQIBADgIC0BwQbYIAAQIECBAgQIAAAQIECBAgQIAAgWIKCECLWRe9IkCAAAECBAgQIECAAAECBAgQIEAgB4GOHLZhEwQIECBAgAABAgQIFECgq6urAL3QBQIECBAgQIBAsQScAVqseugNAQIECBAgQIAAAQIECBAgQIAAAQI5CghAc8S0KQIECBAgQIAAAQIECBAgQIAAAQIEiiUgAC1WPfSGAAECBAgQIECAAAECBAgQIECAAIEcBQSgOWLaFAECBAgQIECAAAECBAgQIECAAAECxRIQgBarHnpDgAABAgQIECBAgAABAgQIECBAgECOAgLQHDFtigABAgQIECBAgAABAgQIECBAgACBYgkIQItVD70hQIAAAQIECBAgQIAAAQIECBAgQCBHAQFojpg2RYAAAQIECBAgQIAAAQIECBAgQIBAsQQEoMWqh94QIECAAAECBAgQIECAAAECBAgQIJCjgAA0R0ybIkCAAAECBAgQIECAAAECBAgQIECgWAIC0GLVQ28IECBAgAABAgQIECBAgAABAgQIEMhRQACaI6ZNESBAgAABAgQIECBAgAABAgQIECBQLAEBaLHqoTcECBAgQIAAAQIECBAgQIAAAQIECOQoIADNEdOmCBAgQIAAAQIECBAgQIAAAQIECBAoloAAtFj10BsCBAgQIECAAAECBAgQIECAAAECBHIUEIDmiGlTBAgQIECAAAECBAgQIECAAAECBAgUS0AAWqx66A0BAgQIECBAgAABAgQIECBAgAABAjkKCEBzxLQpAgQIECBAgAABAgQIECBAgAABAgSKJSAALVY99IYAAQIECBAgQIAAAQIECBAgQIAAgRwFOnLclk29xQKjR8uz00owatSonkXxNaseDi9SBBqfkfhn43VKU7MJBMcYH4LBCjSOK44xg5WrZ/vexxifmaF/Bhp//4a+peJuofGZ8b23uDUqUs8an5fYJ5+ZIlWmuH1pfGb8P6m4NSpSzxqfl9int/IYM2r/L6YiwehLewLd3d1h4sSJ7a1sLQIECBAgQIAAgUoInHfeeZUYx3AO4uGHHx7Ozds2AQIECBAgUEABZ4AWsCjtdGnv3r1hw4YN7axai3XGjh0bJk+enIx1+/btYceOHbUYt0G2LxD/NXPatGlhy5YtYc+ePe1vyJq1EBg3blyYNGlSMtb4D1I7d+6sxbgNsn2BMWPGhKlTpzrGtE9YqzUdY/Itdx2+MzeOMZs3bw7x9wQTgVYC48eP7zmZZtu2bWHXrl2tmltGIHR0dIQpU6YExxgfhiwCnZ2dYcKECUnToR5jZsyYkWWX/bYRgPbLUr6Z8UReoV62usUwi1U2qzq3ir84xCl+AfQlsM6fhGxj731Zh2NMNrO6t4q/OMQphuW7d++uO4fxDyDQ+5Lt+HnxPWYAsAEW18Ev/uN/nOJ3GMeYAT4QFofG995I4XuMD0QWgfgPc3GK32OcLJJFrN5t4jGmEYC+ld9j3DSy3p9DoydAgAABAgQIECBAgAABAgQIECBQaQEBaKXLa3AECBAgQIAAAQIECBAgQIAAAQIE6i0gAK13/Y2eAAECBAgQIECAAAECBAgQIECAQKUFBKCVLq/BESBAgAABAgQIECBAgAABAgQIEKi3gAC03vU3egIECBAgQIAAAQIECBAgQIAAAQKVFhCAVrq8BkeAAAECBAgQIECAAAECBAgQIECg3gIC0HrX3+gJECBAgAABAgQIECBAgAABAgQIVFpAAFrp8hocAQIECBAgQIAAAQIECBAgQIAAgXoLCEDrXX+jJ0CAAAECBAgQIECAAAECBAgQIFBpAQFopctrcAQIECBAgAABAgQIECBAgAABAgTqLSAArXf9jZ4AAQIECBAgQIAAAQIECBAgQIBApQUEoJUur8ERIECAAAECBAgQIECAAAECBAgQqLeAALTe9Td6AgQIECBAgAABAgQIECBAgAABApUWEIBWurwGR4AAAQIECBAgQIAAAQIECBAgQKDeAgLQetff6AkQIECAAAECBAgQIECAAAECBAhUWkAAWunyGhwBAgQIECBAgAABAgQIECBAgACBegsIQOtdf6MnQIAAAQIECBAgQIAAAQIECBAgUGkBAWily2twBAgQIECAAAECBAgQIECAAAECBOotIACtd/2NngABAgQIECBAgAABAgQIECBAgEClBQSglS6vwREgQIAAAQIECBAgQIAAAQIECBCot4AAtN71N3oCBAgQIECAAAECBAgQIECAAAEClRboqPToDI4AAQIECBAgQKASAl1dXYUbx5IlSwrXJx0iQIAAAQIECBBoFnAGaLOJOQQIECBAgAABAgQIECBAgAABAgQIVERAAFqRQhoGAQIECBAgQIAAAQIECBAgQIAAAQLNAgLQZhNzCBAgQIAAAQIECBAgQIAAAQIECBCoiIAAtCKFNAwCBAgQIECAAAECBAgQIECAAAECBJoFBKDNJuYQIECAAAECBAgQIECAAAECBAgQIFARAQFoRQppGAQIECBAgAABAgQIECBAgAABAgQINAsIQJtNzCFAgAABAgQIECBAgAABAgQIECBAoCICAtCKFNIwCBAgQIAAAQIECBAgQIAAAQIECBBoFhCANpuYQ4AAAQIECBAgQIAAAQIECBAgQIBARQQEoBUppGEQIECAAAECBAgQIECAAAECBAgQINAsIABtNjGHAAECBAgQIECAAAECBAgQIECAAIGKCAhAK1JIwyBAgAABAgQIECBAgAABAgQIECBAoFlAANpsYg4BAgQIECBAgAABAgQIECBAgAABAhUREIBWpJCGQYAAAQIECBAgQIAAAQIECBAgQIBAs4AAtNnEHAIECBAgQIAAAQIECBAgQIAAAQIEKiIgAK1IIQ2DAAECBAgQIECAAAECBAgQIECAAIFmAQFos4k5BAgQIECAAAECBAgQIECAAAECBAhUREAAWpFCGgYBAgQIECBAgAABAgQIECBAgAABAs0CAtBmE3MIECBAgAABAgQIECBAgAABAgQIEKiIgAC0IoU0DAIECBAgQIAAAQIECBAgQIAAAQIEmgUEoM0m5hAgQIAAAQIECBAgQIAAAQIECBAgUBGBjoqMwzAIECBAgAABAgQIECAwoEBXV9eAbUa6wZIlS0Z6l/ZHgAABAgRqJeAM0FqV22AJECBAgAABAgQIECBAgAABAgQI1EtAAFqvehstAQIECBAgQIAAAQIECBAgQIAAgVoJCEBrVW6DJUCAAAECBAgQIECAAAECBAgQIFAvAQFovepttAQIECBAgAABAgQIECBAgAABAgRqJSAArVW5DZYAAQIECBAgQIAAAQIECBAgQIBAvQQEoPWqt9ESIECAAAECBAgQIECAAAECBAgQqJWAALRW5TZYAgQIECBAgAABAgQIECBAgAABAvUSEIDWq95GS4AAAQIECBAgQIAAAQIECBAgQKBWAgLQWpXbYAkQIECAAAECBAgQIECAAAECBAjUS0AAWq96Gy0BAgQIECBAgAABAgQIECBAgACBWgkIQGtVboMlQIAAAQIECBAgQIAAAQIECBAgUC8BAWi96m20BAgQIECAAAECBAgQIECAAAECBGolIACtVbkNlgABAgQIECBAgAABAgQIECBAgEC9BASg9aq30RIgQIAAAQIECBAgQIAAAQIECBColYAAtFblNlgCBAgQIECAAAECBAgQIECAAAEC9RIQgNar3kZLgAABAgQIECBAgAABAgQIECBAoFYCAtBaldtgCRAgQIAAAQIECBAgQIAAAQIECNRLQABar3obLQECBAgQIECAAAECBAgQIECAAIFaCQhAa1VugyVAgAABAgQIECBAgAABAgQIECBQLwEBaL3qbbQECBAgQIAAAQIECBAgQIAAAQIEaiUgAK1VuQ2WAAECBAgQIECAAAECBAgQIECAQL0EBKD1qrfREiBAgAABAgQIECBAgAABAgQIEKiVgAC0VuU2WAIECBAgQIAAAQIECBAgQIAAAQL1EhCA1qveRkuAAAECBAgQIECAAAECBAgQIECgVgIC0FqV22AJECBAgAABAgQIECBAgAABAgQI1EtAAFqvehstAQIECBAgQIAAAQIECBAgQIAAgVoJCEBrVW6DJUCAAAECBAgQIECAAAECBAgQIFAvAQFovepttAQIECBAgAABAgQIECBAgAABAgRqJSAArVW5DZYAAQIECBAgQIAAAQIECBAgQIBAvQQEoPWqt9ESIECAAAECBAgQIECAAAECBAgQqJWAALRW5TZYAgQIECBAgAABAgQIECBAgAABAvUSEIDWq95GS4AAAQIECBAgQIAAAQIECBAgQKBWAgLQWpXbYAkQIECAAAECBAgQIECAAAECBAjUS0AAWq96Gy0BAgQIECBAgAABAgQIECBAgACBWgkIQGtVboMlQIAAAQIECBAgQIAAAQIECBAgUC8BAWi96m20BAgQIECAAAECBAgQIECAAAECBGolIACtVbkNlgABAgQIECBAgAABAgQIECBAgEC9BASg9aq30RIgQIAAAQIECBAgQIAAAQIECBColYAAtFblNlgCBAgQIECAAAECBAgQIECAAAEC9RIQgNar3kZLgAABAgQIECBAgAABAgQIECBAoFYCAtBaldtgCRAgQIAAAQIECBAgQIAAAQIECNRLQABar3obLQECBAgQIECAAAECBAgQIECAAIFaCQhAa1VugyVAgAABAgQIECBAgAABAgQIECBQLwEBaL3qbbQECBAgQIAAAQIECBAgQIAAAQIEaiUgAK1VuQ2WAAECBAgQIECAAAECBAgQIECAQL0EBKD1qrfREiBAgAABAgQIECBAgAABAgQIEKiVgAC0VuU2WAIECBAgQIAAAQIECBAgQIAAAQL1EhCA1qveRkuAAAECBAgQIECAAAECBAgQIECgVgIC0FqV22AJECBAgAABAgQIECBAgAABAgQI1EugoyrDvfvuu8OWLVsGHM7o0aPDVVdd1dOuu7s7xHVbTRdccEE45phjDmiyc+fO8LWvfS1873vfCxs2bAjz5s0LCxYsCOedd14YM2bMAW0bb9pZp7GuPwkQIECAAAECBAgQIECAAAECBAgQGLxAZQLQhx56KLz55psDCvQNQF988cUkyGy1Ygw2ewegGzduDIsXLw6vvfZastrb3va28PDDDyc/K1asCDfeeGMYN27cAZtsZ50DNuANAQIECBAgQIAAAQIECBAgQIAAAQKDFqhMAPrRj3407Nixo1+AvXv3hnvuuSds3rw5xLM5e09r1qxJ3i5cuDAsWrSo96Ke1/Hszt7TLbfckoSfp556arjhhhvCtGnTwuuvvx6uv/768Pjjj4e77rorXHPNNb1XCe2sc8AGvCFAgAABAgQIECBAgAABAgQIECBAYNAClQlAzznnnNTB33vvvUn4efzxx4err776gHaNADSGnxdeeOEBy/p7s3r16vD000+HCRMmhFtvvTV0dnYmzQ477LDwuc99Llx00UUhno165ZVXhilTpiTL2lmnv32bR4AAAQIECBAgQIAAAQIECBAgQIDA4AQq/xCkZ599Nnz5y18O48ePTy5NHzt27AFC8RL4OM2fP/+A+Wlvli9fniw644wzesLPRtt4Kfwpp5wSdu3alYSgjfntrNNY158ECBAgQIAAAQIECBAgQIAAAQIECLQvUOkAdM+ePeGzn/1s2L9/f+jq6gpz5sw5QCouX7t2bejo6AhHH310sixeJh8fVpQ2rVq1KlkUL3/vb4oBaJyee+65nsXtrNOzshcECBAgQIAAAQIECBAgQIAAAQIECLQtUJlL4PsT+Nd//dfwyiuvhMMPPzx88IMfbGry6quvht27d4e5c+eGpUuXhgceeCCsX78+xAclxXkf/vCHQ99L6+O9PuM0ffr0pu31nt94QFKc1846/W38K1/5Sti0aVN/i8I73vGOcMIJJ/S7zMyQhNwNh/iAqsmTJzfe+pNAvwKjRo1K5sfbXfR9qFm/K5hZa4H4D2mNKV5x0Pj8NOb5k0BfgfhdI07xGBM/M6ZyCozU94neVzDFz0vj81NONb3uTyDvz1LjM+IY05+2eX0FHGP6ing/kMCYMWOSJhMnTgz79u0bqLnlNRfo/ft0/B7T+PyMNMuvf2Mb6T0P8/7ig4/+5V/+JdnLxRdffEAA1th14/6fP/7xj5OHJM2aNSvEhyG98ovQNP7EBxd9//vfD9ddd11jlbBt27bkdVoAOnXq1GR5o11803g9mHWSjfT5T7yUv3ew2nvxX/7lX4Z3vvOdvWd5nSIQ/8L5ZTMFx+wmgfg/dROBwQg4xgxGS9tJkyZBKLFA437vIzmEeP/5xj3oR3K/9jW8AsP1WXKMGd66VXHrjjFVrOrwjckxZvhsq7rl+A9zb9VU2QD0u9/9bnjzzTdDDC/OPffcfn0b9/+MXzhuu+22sGDBgqRdvGQ+ng165513hmXLloXTTjstnHnmmcm/bDSeNJ/2JaXxr7eNy+jjv4YMdp1+O2smAQIECBAgQGCEBM4777wR2pPdECBAgAABAgQIEBh+gcoGoN/85jcTvfgFPu0MrksvvTScffbZYdq0aeHQQw/t0Y6XLsanucezQGMQGi89jwFovJQkptXbt29PvU9oI/hsnOLbzjo9Henz4pOf/GTP2aR9FoWjjjoqbNiwoe9s738lEC/raITTsX6NUBoQgTSB+Hc3Hhu2bNkS4v2CTQRaCcRjfuNfwLu7u1P/H9FqG5bVSyBe+hOvGnGMKXfdR+q7l2NMuT8nWXqf92cp3polnrDhGJNFX5t49Urjd+Z49WJ8qK+JQCuBxjEmPkMlXn1rItBKIJ5Z3jjzc6jHmBkzZrTaVctllQxA161bF5566qlk4O9///tTAeKXguOOOy51+Xve854kAH355ZeTsz9jIBIvk4+XoccvE/1NjfmNX4Rjm3bW6W/bMaxNm+KBp3GpfVob838pEMMsAahPw0ACjfuSxC+AvgQOpGV573t+Osb4PGQRaNw3Nv7DabwfuamcAiP1fSJ+B21M8fMyUvtt7NOfwy+Qd03jP/7H33UcY4a/dlXYQ+N7bxyL7zFVqOjwj6Fxwlc8xjhZZPi9y76HeIxpBKBv5feYX3+bKrtor/4/+OCDyb9CxAcDHXnkkb2WDO7lwQcfnKwQw49GuBjDzDg1gs7kTa//xCAyTr1T6XbW6bVJLwkQIECAAAECBAgQIECAAAECBAgQaFOgkgHoo48+mnCcf/75LVm++tWvhi996UvJpe79NXzjjTeS2fEStcY9P2fPnp3MW7t2bX+rhMb83meWtrNOvxs3kwABAgQIECBAgAABAgQIECBAgACBQQlULgCN915rhJDz5s1rifHII4+E+++/P9x33339tnvyySeT+ccff3zP8sZl6HHdvlN84FEjfG08UCm2aWedvtv2ngABAgQIECBAgAABAgQIECBAgACBwQtULgB9/vnnQ3yKe7zHwNy5c1uKnHXWWcnyGFq+9NJLB7RduXJliGeIxunyyy/vWRafCB8vq1+zZk146KGHeubHFzFMXb9+fTjiiCPCqaee2rOsnXV6VvaCAAECBAgQIECAAAECBAgQIECAAIG2BSr3EKTXX389wfiN3/iNEG/+3Wq6+OKLw4oVK8IzzzwTLrvssrBw4cLk58UXXwyPPfZYsurixYvD/PnzezYTH3RxxRVXhE996lPhtttuSx62FM80/eEPf5i8jvu89tprQ+8HYrSzTs8OvSBAgAABAgQIECBAgAABAgQIECBAoG2BygWg8QzMOB199NEDosSzRG+//fbkzM2lS5eGeNZn/InT4YcfHj7xiU+EePZm3+nd7353uOOOO5IANAaljbA0nhl69dVXhxNPPLHvKqGddZo2YgYBAgQIECBAgAABAgQIECBAgAABAoMSqFwAGs/kjD9Zp87OzuQS90svvTT89Kc/DRs3bkzC08mTJ7fcxEknnZRcIh8D19deey3EBx0dcsghYfTo9LsKtLNOy05YSIAAAQIECBAgQIAAAQIECBAgQIBAS4HKBaAtR9tiYUdHR3LP0IHuG9p3EzNnzgzxZzBTO+sMZvvaEiBAgAABAgQIECBAgAABAgQIECDwS4H00xUJESBAgAABAgQIECBAgAABAgQIECBAoOQCAtCSF1D3CRAgQIAAAQIECBAgQIAAAQIECBBIFxCApttYQoAAAQIECBAgQIAAAQIECBAgQIBAyQUEoCUvoO4TIECAAAECBAgQIECAAAECBAgQIJAuIABNt7GEAAECBAgQIECAAAECBAgQIECAAIGSCwhAS15A3SdAgAABAgQIECBAgAABAgQIECBAIF1AAJpuYwkBAgQIECBAgAABAgQIECBAgAABAiUXEICWvIC6T4AAAQIECBAgQIAAAQIECBAgQIBAuoAANN3GEgIECBAgQIAAAQIECBAgQIAAAQIESi4gAC15AXWfAAECBAgQIECAAAECBAgQIECAAIF0AQFouo0lBAgQIECAAAECBAgQIECAAAECBAiUXEAAWvIC6j4BAgQIECBAgAABAgQIECBAgAABAukCAtB0G0sIECBAgAABAgQIECBAgAABAgQIECi5gAC05AXUfQIECBAgQIAAAQIECBAgQIAAAQIE0gUEoOk2lhAgQIAAAQIECBAgQIAAAQIECBAgUHIBAWjJC6j7BAgQIECAAAECBAgQIECAAAECBAikCwhA020sIUCAAAECBAgQIECAAAECBAgQIECg5AIC0JIXUPcJECBAgAABAgQIECBAgAABAgQIEEgXEICm21hCgAABAgQIECBAgAABAgQIECBAgEDJBQSgJS+g7hMgQIAAAQIECBAgQIAAAQIECBAgkC4gAE23sYQAAQIECBAgQIAAAQIECBAgQIAAgZILCEBLXkDdJ0CAAAECBAgQIECAAAECBAgQIEAgXUAAmm5jCQECBAgQIECAAAECBAgQIECAAAECJRcQgJa8gLpPgAABAgQIECBAgAABAgQIECBAgEC6gAA03cYSAgQIECBAgAABAgQIECBAgAABAgRKLiAALXkBdZ8AAQIECBAgQIAAAQIECBAgQIAAgXQBAWi6jSUECBAgQIAAAQIECBAgQIAAAQIECJRcQABa8gLqPgECBAgQIECAAAECBAgQIECAAAEC6QIC0HQbSwgQIECAAAECBAgQIECAAAECBAgQKLmAALTkBdR9AgQIECBAgAABAgQIECBAgAABAgTSBQSg6TaWECBAgAABAgQIECBAgAABAgQIECBQcgEBaMkLqPsECBAgQIAAAQIECBAgQIAAAQIECKQLCEDTbSwhQIAAAQIECBAgQIAAAQIECBAgQKDkAgLQkhdQ9wkQIECAAAECBAgQIECAAAECBAgQSBcQgKbbWEKAAAECBAgQIECAAAECBAgQIECAQMkFBKAlL6DuEyBAgAABAgQIECBAgAABAgQIECCQLiAATbexhAABAgQIECBAgAABAgQIECBAgACBkgsIQEteQN0nQIAAAQIECBAgQIAAAQIECBAgQCBdQACabmMJAQIECBAgQIAAAQIECBAgQIAAAQIlFxCAlryAuk+AAAECBAgQIECAAAECBAgQIECAQLqAADTdxhICBAgQIECAAAECBAgQIECAAAECBEouIAAteQF1nwABAgQIECBAgAABAgQIECBAgACBdAEBaLqNJQQIECBAgAABAgQIECBAgAABAgQIlFxAAFryAuo+AQIECBAgQIAAAQIECBAgQIAAAQLpAgLQdBtLCBAgQIAAAQIECBAgQIAAAQIECBAouYAAtOQF1H0CBAgQIECAAAECBAgQIECAAAECBNIFBKDpNpYQIECAAAECBAgQIECAAAECBAgQIFByAQFoyQuo+wQIECBAgAABAgQIECBAgAABAgQIpAsIQNNtLCFAgAABAgQIECBAgAABAgQIECBAoOQCAtCSF1D3CRAgQIAAAQIECBAgQIAAAQIECBBIFxCApttYQoAAAQIECBAgQIAAAQIECBAgQIBAyQUEoCUvoO4TIECAAAECBAgQIECAAAECBAgQIJAuIABNt7GEAAECBAgQIECAAAECBAgQIECAAIGSCwhAS15A3SdAgAABAgQIECBAgAABAgQIECBAIF1AAJpuYwkBAgQIECBAgAABAgQIECBAgAABAiUXEICWvIC6T4AAAQIECBAgQIAAAQIECBAgQIBAuoAANN3GEgIECBAgQIAAAQIECBAgQIAAAQIESi4gAC15AXWfAAECBAgQIECAAAECBAgQIECAAIF0AQFouo0lBAgQIECAAAECBAgQIECAAAECBAiUXEAAWvIC6j4BAgQIECBAgAABAgQIECBAgAABAukCAtB0G0sIECBAgAABAgQIECBAgAABAgQIECi5gAC05AXUfQIECBAgQIAAAQIECBAgQIAAAQIE0gUEoOk2lhAgQIAAAQIECBAgQIAAAQIECBAgUHIBAWjJC6j7BAgQIECAAAECBAgQIECAAAECBAikCwhA020sIUCAAAECBAgQIECAAAECBAgQIECg5AIC0JIXUPcJECBAgAABAgQIECBAgAABAgQIEEgXEICm21hCgAABAgQIECBAgAABAgQIECBAgEDJBQSgJS+g7hMgQIAAAQIECBAgQIAAAQIECBAgkC4gAE23sYQAAQIECBAgQIAAAQIECBAgQIAAgZILCEBLXkDdJ0CAAAECBAgQIECAAAECBAgQIEAgXUAAmm5jCQECBAgQIECAAAECBAgQIECAAAECJRcQgJa8gLpPgAABAgQIECBAgAABAgQIECBAgEC6gAA03cYSAgQIECBAgAABAgQIECBAgAABAgRKLiAALXkBdZ8AAQIECBAgQIAAAQIECBAgQIAAgXQBAWi6jSUECBAgQIAAAQIECBAgQIAAAQIECJRcQABa8gLqPgECBAgQIECAAAECBAgQIECAAAEC6QIC0HQbSwgQIECAAAECBAgQIECAAAECBAgQKLmAALTkBdR9AgQIECBAgAABAgQIECBAgAABAgTSBQSg6TaWECBAgAABAgQIECBAgAABAgQIECBQcgEBaMkLqPsECBAgQIAAAQIECBAgQIAAAQIECKQLCEDTbSwhQIAAAQIECBAgQIAAAQIECBAgQKDkAgLQkhdQ9wkQIECAAAECBAgQIECAAAECBAgQSBcQgKbbWEKAAAECBAgQIECAAAECBAgQIECAQMkFBKAlL6DuEyBAgAABAgQIECBAgAABAgQIECCQLiAATbexhAABAgQIECBAgAABAgQIECBAgACBkgsIQEteQN0nQIAAAQIECBAgQIAAAQIECBAgQCBdQACabmMJAQIECBAgQIAAAQIECBAgQIAAAQIlFxCAlryAuk+AAAECBAgQIECAAAECBAgQIECAQLpAR/oiSwgQIECAAAECBAgQSBPo6upKW2Q+AQIECBAgQIBAgQScAVqgYugKAQIECBAgQIAAAQIECBAgQIAAAQL5CghA8/W0NQIECBAgQIAAAQIECBAgQIAAAQIECiTgEvgCFWMoXRk1alSYNGnSUDZR6XU7On79UR87diyrSlc7n8GNHv3Lfx/q7OwM8TNjItBKoPdnZNy4ca2aWkYgEWgcYyZMmBB8ZnwoCBDI+3t84xgTv8c4xvh8DSTQ+zMSX8ffLU0EWgmMGTMmWRy/x+zbt69VU8sIHPD/ofHjx4fG/6NGmubXqdBI79n+chWIB6B48DENLBD/wsUfE4EsAhMnTszSTBsCPQKOMT0UXmQQcIzJgKQJgRoITJkyZVhGmXewOiydtNFCCcTQPP6YCGQRcIzJoqRNb4G38hgjAO1diRK/3rNnT/i///u/Eo9geLse/5LNmDEj2cnWrVtD/DERaCUQ/1Fh9uzZ4ec//3nYtWtXq6aWEUj+AWr69OmJxJYtW8K2bduoEGgpEK9MOOigg8L69evD7t27W7a1kACB6gvk/T0+Xpkwa9Ysx5jqf3RyGWEMsaZOnZpsa/PmzaG7uzuX7dpIdQXimcIzZ84M69atCzGLMBFoJdD7GLNp06awffv2Vs1bLpszZ07L5a0WugdoKx3LCBAgQIAAAQIECBAgQIAAAQIECBAotYAAtNTl03kCBAgQIECAAAECBAgQIECAAAECBFoJCEBb6VhGgAABAgQIECBAgAABAgQIECBAgECpBQSgpS6fzhMgQIAAAQIECBAgQIAAAQIECBAg0EpAANpKxzICBAgQIECAAAECBAgQIECAAAECBEotIAAtdfl0ngABAgQIECBAgAABAgQIECBAgACBVgIC0FY6lhEgQIAAAQIECBAgQIAAAQIECBAgUGoBAWipy6fzBAgQIECAAAECBAgQIECAAAECBAi0EhCAttKxjAABAgQIECBAgAABAgQIECBAgACBUgsIQEtdPp0nQIAAAQIECBAgQIAAAQIECBAgQKCVgAC0lY5lBAgQIECAAAECBAgQIECAAAECBAiUWkAAWury6TwBAgQIECBAgAABAgQIECBAgAABAq0EBKCtdCwjQIAAAQIECBAgQIAAAQIECBAgQKDUAgLQUpdP5wkQIECAAAECBAgQIECAAAECBAgQaCXQ0WqhZQQIECBAgAABAgQIECAwvAJdXV3Du4M2tr5kyZI21rIKAQIECBAopoAzQItZF70iQIAAAQIECBAgQIAAAQIECBAgQCAHAQFoDog2QYAAAQIECBAgQIAAAQIECBAgQIBAMQUEoMWsi14RIECAAAECBAgQIECAAAECBAgQIJCDgAA0B0SbIECAAAECBAgQIECAAAECBAgQIECgmAIC0GLWRa8IECBAgAABAgQIECBAgAABAgQIEMhBQACaA6JNECBAgAABAgQIECBAgAABAgQIECBQTAEBaDHrolcECBAgQIAAAQIECBAgQIAAAQIECOQgIADNAdEmCBAgQIAAAQIECBAgQIAAAQIECBAopoAAtJh10SsCBAgQIECAAAECBAgQIECAAAECBHIQEIDmgGgTBAgQIECAAAECBAgQIECAAAECBAgUU0AAWsy66BUBAgQIECBAgAABAgQIECBAgAABAjkICEBzQLQJAgQIECBAgAABAgQIECBAgAABAgSKKSAALWZd9IoAAQIECBAgQIAAAQIECBAgQIAAgRwEBKA5INoEAQIECBAgQIAAAQIECBAgQIAAAQLFFBCAFrMuekWAAAECBAgQIECAAAECBAgQIECAQA4CHTlswyYIECBAgAABAgTaFOjq6mpzTasRIECAAAECBAgQIJBFwBmgWZS0IUCAAAECBAgQIECAAAECBAgQIECglAIC0FKWTacJECBAgAABAgQIECBAgAABAgQIEMgiIADNoqQNAQIECBAgQIAAAQIECBAgQIAAAQKlFBCAlrJsOk2AAAECBAgQIECAAAECBAgQIECAQBYBAWgWJW0IECBAgAABAgQIECBAgAABAgQIECilgAC0lGXTaQIECBAgQIAAAQIECBAgQIAAAQIEsggIQLMoaUOAAAECBAgQIECAAAECBAgQIECAQCkFBKClLJtOEyBAgAABAgQIECBAgAABAgQIECCQRUAAmkVJGwIECBAgQIAAAQIECBAgQIAAAQIESikgAC1l2XSaAAECBAgQIECAAAECBAgQIECAAIEsAgLQLEraECBAgAABAgQIECBAgAABAgQIECBQSgEBaCnLptMECBAgQIAAAQIECBAgQIAAAQIECGQREIBmUdKGAAECBAgQIECAAAECBAgQIECAAIFSCghAS1k2nSZAgAABAgQIECBAgAABAgQIECBAIIuAADSLkjYECBAgQIAAAQIECBAgQIAAAQIECJRSQABayrLpNAECBAgQIECAAAECBAgQIECAAAECWQQEoFmUtCFAgAABAgQIECBAgAABAgQIECBAoJQCAtBSlk2nCRAgQIAAAQIECBAgQIAAAQIECBDIIiAAzaKkDQECBAgQIECAAAECBAgQIECAAAECpRQQgJaybDpNgAABAgQIECBAgAABAgQIECBAgEAWAQFoFiVtCBAgQIAAAQIECBAgQIAAAQIECBAopYAAtJRl02kCBAgQIECAAAECBAgQIECAAAECBLIICECzKGlDgAABAgQIECBAgAABAgQIECBAgEApBQSgpSybThMgQIAAAQIECBAgQIAAAQIECBAgkEVAAJpFSRsCBAgQIECAAAECBAgQIECAAAECBEopIAAtZdl0mgABAgQIECBAgAABAgQIECBAgACBLAIC0CxK2hAgQIAAAQIECBAgQIAAAQIECBAgUEoBAWgpy6bTBAgQIECAAAECBAgQIECAAAECBAhkERCAZlHShgABAgQIECBAgAABAgQIECBAgACBUgoIQEtZNp0mQIAAAQIECBAgQIAAAQIECBAgQCCLgAA0i5I2BAgQIECAAAECBAgQIECAAAECBAiUUkAAWsqy6TQBAgQIECBAgAABAgQIECBAgAABAlkEBKBZlLQhQIAAAQIECBAgQIAAAQIECBAgQKCUAgLQUpZNpwkQIECAAAECBAgQIECAAAECBAgQyCIgAM2ipA0BAgQIECBAgAABAgQIECBAgAABAqUUEICWsmw6TYAAAQIECBAgQIAAAQIECBAgQIBAFgEBaBYlbQgQIECAAAECBAgQIECAAAECBAgQKKWAALSUZdNpAgQIECBAgAABAgQIECBAgAABAgSyCAhAsyhpQ4AAAQIECBAgQIAAAQIECBAgQIBAKQUEoKUsm04TIECAAAECBAgQIECAAAECBAgQIJBFQACaRUkbAgQIECBAgAABAgQIECBAgAABAgRKKSAALWXZdJoAAQIECBAgQIAAAQIECBAgQIAAgSwCAtAsStoQIECAAAECBAgQIECAAAECBAgQIFBKAQFoKcum0wQIECBAgAABAgQIECBAgAABAgQIZBEQgGZR0oYAAQIECBAgQIAAAQIECBAgQIAAgVIKCEBLWTadJkCAAAECBAgQIECAAAECBAgQIEAgi4AANIuSNgQIECBAgAABAgQIECBAgAABAgQIlFJAAFrKsuk0AQIECBAgQIAAAQIECBAgQIAAAQJZBASgWZS0IUCAAAECBAgQIECAAAECBAgQIECglAIC0FKWTacJECBAgAABAgQIECBAgAABAgQIEMgiIADNoqQNAQIECBAgQIAAAQIECBAgQIAAAQKlFBCAlrJsOk2AAAECBAgQIECAAAECBAgQIECAQBYBAWgWJW0IECBAgAABAgQIECBAgAABAgQIECilgAC0lGXTaQIECBAgQIAAAQIECBAgQIAAAQIEsggIQLMoaUOAAAECBAgQIECAAAECBAgQIECAQCkFBKClLJtOEyBAgAABAgQIECBAgAABAgQIECCQRUAAmkVJGwIECBAgQIAAAQIECBAgQIAAAQIESimQewD6D//wD+Gqq64Kq1evzgxyyy23hNNPPz18+tOfzryOhgQIECBAgAABAgQIECBAgAABAgQIEBhIIPcA9Bvf+Eb4/Oc/H15++eWB9t2zfPny5eGpp54aVGjas7IXBAgQIECAAAECBAgQIECAAAECBAgQSBHoSJk/IrP37t0b1qxZE37wgx8k+5s4ceKI7NdOCBAgQIAAAQIECBAgQIAAAQIECBCoh8CQAtALLrggfPvb3z5Aavfu3cn797///WH06NYnmMa2+/bt61n/5JNP7nntBQECBAgQIECAAAECBAgQIECAAAECBIYqMKQA9LOf/Ww48cQTQyP07N2Z/ub1Xt739QknnBDe97739Z3tPQECBAgQIECAAAECBAgQIECAAAECBNoWGFIAeuyxx4YvfvGL4b/+6796OvDQQw+FH//4x+H8888Pc+fO7Znf34uxY8eGSZMmhaOOOir8wR/8QZgxY0Z/zTLP6+7uDnfffXfL9vGs1WOOOeaANjt37gxf+9rXwve+972wYcOGMG/evLBgwYJw3nnnhTFjxhzQtvFmpNZp7M+fBAgQIECAAAECBAgQIECAAAECBAgMXmBIAWjc3eWXX578NHYdA8YYgH7sYx8L8fVITi+++GISZLbaZww2ewegGzduDIsXLw6vvfZastrb3va28PDDDyc/K1asCDfeeGMYN27cAZscqXUO2Kk3BAgQIECAAAECBAgQIECAAAECBAgMWmDIAWjfPX74wx8Op59+epg/f37fRcP+Pj5QKU4LFy4MixYt6nd/8ezO3tMtt9yShJ+nnnpquOGGG8K0adPC66+/Hq6//vrw+OOPh7vuuitcc801vVcJI7XOATv1hgABAgQIECBAgAABAgQIECBAgACBQQvkHoBecsklg+5EXis0AtAYfl544YUDbnb16tXh6aefDhMmTAi33npr6OzsTNY57LDDwuc+97lw0UUXhXhJ/5VXXhmmTJmSLBupdQbsvAYECBAgQIAAAQIECBAgQIAAAQIECAwokHsA2nuPP/vZz8L//M//hHhvzj179vRe1O/r3/zN30zuv9nvwgwz4yXwccp69uny5cuT9meccUZP+JnM+MV/4qXwp5xySnjqqaeSEDTeozROI7VOsjP/IUCAAAECBAgQIECAAAECBAgQIEBgSALDEoDG0POv//qvw9e//vVMwWdjBPF+mzfddFPj7aD+jAHr2rVrQ0dHRzj66KOTdTdv3hzGjx+f/PS3sVWrViWz4+Xv/U2NAPS5555LHtIU24zUOv31xzwCBAgQIECAAAECBAgQIECAAAECBAYnkHsAumXLluTy8xdeeGFwPRli61dffTXs3r07efL80qVLwwMPPBDWr18fRo8encyL9yY955xzDthLvNdnnKZPn37A/MabxvzGA5Li/JFap9EHfxIgQIAAAQIECBAgQIAAAQIECBAg0L5A7gHozTffHBrhZ3zg0B/+4R+GI488MhxyyCFh1KhRLXva++nsLRv2s7Bx/8/4BPp77rknzJo1K3kY0iuvvBLiT3xw0fe///1w3XXX9ay9bdu25HUj6OxZ8KsXU6dOTV412sU3jdfDvc6vunDAHx/5yEfC//7v/x4wr/Hm0ksvDR/4wAcab/3ZR6D3Z2/ixInJfV/7NPGWQL8C8e/6/v37+11mJoGGQO9jzKRJk0I8zpgIZBFI+z6RZV1tCBAgMJwCBx100HBu3rYLJND7e8zkyZND/C5jItBKoPGZmTFjRqtmlhFIBBqfl/gmPl8nHmfeiin3APTJJ59MxnHSSSeFRx55JLmX5kgMrHH/z4h52223hQULFiS7jcFFPBv0zjvvDMuWLQunnXZaOPPMM8O+ffvCjh07kjaNBxz17WejKDt37kwWjdQ6ffvReB/D3d5nozbmxz/j5f7x8n/TwAJjxowZuJEWBH4l4PPiozBYAZ+ZwYrVu73/d9e7/kZPoMgCjk9Frs7w9c33mOGzreKWHSeqWNXhHdNbeYzJNTHbu3dv+MEPfpBoxbMV44OERmqKZ0CeffbZYdq0aeHQQw/t2W1MmuPT3ONZoDEI/cpXvpIEoPHS+Pj09+3bt4dGwNmz0q9eNOaPGzcumTNS6/Tth/cECBAgQIAAAQIECBAgQIAAAQIECLQnkGsAGpPceLp8DBXjGaAjOcWzOI877rjUXb7nPe9JAtCXX345OfszhpnxMvl4RmW8b2l/U2N+70sARmqd/voTz6hNm+IZoGmXx6etU6f5nZ2doXF6fqzr1q1b6zR8Y21DIB7PZs+endxLeNeuXW1swSp1Eoj/oNa4lDkejxu3S6mTgbEOTiCeMREvL123bt3gVtSaAAECIyTgd4sRgi7AbuLvu43bv23atCl0d3cXoFe6UGSBeJLYzJkzw5tvvjmoB18XeUz6NnwCvY8xGzduTDLDdvc2Z86cdlcNo9teM2XFd77zncmSeMZlkaaDDz446U4MMhq/mMYwM06NoDN50+s/8ZfYODWCs/h6pNaJ+zIRIECAAAECBAgQIECAAAECBAgQIDA0gdwD0EWLFiU9ig8iGsnpq1/9avjSl76UXOre337feOONZHb8l63GPT/j2V1xWrt2bfJn3/805vc+s3Sk1unbF+8JECBAgAABAgQIECBAgAABAr+UZ/oAAEAASURBVAQIEBi8QO4B6Mc//vHknpvLly8Pn/jEJ1LPrhx8V1uvES8Pv//++8N9993Xb8PGw5mOP/74nuXxnqFx6u/S8vjAo0cffTRZ3nigUnwzUuskO/YfAgQIECBAgAABAgQIECBAgAABAgSGJJDrPUBjT1atWhWuuOKK8PTTT4e//du/Df/8z/8cFi5cGI444ojkXletehvPHj3rrLNaNUldFtdbvXp1Elp+6EMfCm9/+9t72q5cuTLEM0TjdPnll/fMj0+EP/LII8OaNWvCQw89FM4///yeZTFMXb9+fdLvU089tWf+SK3Ts0MvCBAgQIAAAQIECBAgQIAAAQIECBBoWyD3APSTn/xkePDBB3s6FG+K+/DDD/e8b/UiPhCg3QD04osvDitWrAjPPPNMuOyyy5LQNQavL774YnjssceS3S5evDjMnz+/pwvxCfExrP3Upz4VbrvttvDUU0+FefPmhR/+8IfJ67Fjx4Zrr702xHaNaaTWaezPnwQIECBAgAABAgQIECBAgAABAgQItC+QewDafleGtmZ8YvPtt9+eXAa/dOnSEM/6jD9xOvzww5PL8ePZm32nd7/73eGOO+5IAtAYlDbC0nhm6NVXXx1OPPHEvquEkVqnacdmECBAgAABAgQIECBAgAABAgQIECAwKIFR+38xDWqNARpv3bo17NmzZ4BW/S/u7OwM8WeoU9z/T3/607Bx48Zw9NFHh8mTJ2faZLzk/bXXXgvxQUeHHHJIGD164FukjtQ6Aw0gPrG+8XT7gdrWcXn8XM2YMSMZ+pYtW0L8nJoItBKI/6gSjwXx7/iuXbtaNbWMQJgwYUKYPn16IuF47AORRSBe9XLQQQeFdevWhXjrHhMBAgSKJrBkyZKidUl/hklg0qRJIT4sOE6bNm0K3d3dw7Qnm62KwLhx48LMmTNDvOK33fynKhbGMbBA72NMzOm2b98+8EopLebMmZOyZODZuZ8BmjVsHLhr7beIv1TMnTs3+RnMVuJf4PgzmGmk1hlMn7QlQIAAAQIECBAgQIAAAQIECBAgQOCXAgOf4kiKAAECBAgQIECAAAECBAgQIECAAAECJRUQgJa0cLpNgAABAgQIECBAgAABAgQIECBAgMDAArlfAr9mzZrk3psD77q5xWGHHRYOPfTQ5gXmECBAgAABAgQIECBAgMCICXR1dY3YvrLuyH1Js0ppR4AAAQJ9BXIPQK+66qrw4IMP9t1Ppvc33XRTuPHGGzO11YgAAQIECBAgQIAAAQIECBAgQIAAAQIDCbgEfiAhywkQIECAAAECBAgQIECAAAECBAgQKK1A7meA/sVf/EX44Ac/mAqyd+/esHnz5vDyyy+Hf//3f0/+/N3f/d1w9913h6lTp6auZwEBAgQIECBAgAABAgQIECBAgAABAgQGK5B7AHr22Wdn7sPNN98cLrroouSS+c985jPhjjvuyLyuhgQIECBAgAABAgQIECBAgAABAgQIEBhI4C29BD6e8RnvFxoffHTnnXeGRx99dKD+Wk6AAAECBAgQIECAAAECBAgQIECAAIHMAm9pABp7OW7cuHDOOeckHf7Od76TueMaEiBAgAABAgQIECBAgAABAgQIECBAYCCBtzwAjR084YQTkn4+8cQTA/XXcgIECBAgQIAAAQIECBAgQIAAAQIECGQWKEQAunz58qTDY8eOzdxxDQkQIECAAAECBAgQIECAAAECBAgQIDCQwFsegMZ7gD7yyCNJP08++eSB+ms5AQIECBAgQIAAAQIECBAgQIAAAQIEMgvk/hT4f/u3fwtr165t2YE9e/aE7u7u8Mwzz4RvfetbSdtRo0aF888/v+V6FhIgQIAAAQIECBAgQIAAAQIECBAgQGAwArkHoP/4j/+YPNl9MJ2Iba+99trw27/924NdTXsCBAgQIECAAAECBAgQIECAAAECBAikCuQegKbuKWXBSSedFBYvXhwuu+yylBZmEyBAgAABAgQIECBAgAABAgQIECBAoD2B3APQJUuWhO3btw/Ym/jAo+nTp4eJEycO2FYDAgQIECBAgAABAgQIECBAgAABAgQItCOQewA6e/bsdvphHQIECBAgQIAAAQIECBAgQIAAAQIECOQukHsAmtbDrVu3hpdeeimMHz8+xJB0xowZIT74yESAAAECBAgQIECAAAECBAgQIECAAIHhEhg9XBuO2121alV43/veFw4//PAwZcqUsGDBgnDccceFmTNnhoMOOihcccUVYeXKlcPZBdsmQIAAAQIECBAgQIAAAQIECBAgQKDGAsMSgO7Zsyf81V/9VYgPOPrGN74RfvKTnzQRr1+/Ptxzzz3htNNOC7fffnvTcjMIECBAgAABAgQIECBAgAABAgQIECAwVIFhuQT+b/7mb3pCzXiZ+5lnnhnmz58fjjjiiNDd3R1effXV8Oyzz4bnnnsuNMLSQw45JPzxH//xUMdjfQIECBAgQIAAAQIECBAgQIAAAQIECPQI5B6APvPMMyEGoHE6/fTTwxe+8IXkTNCePfZ68c1vfjP8+Z//eXj55ZfDxz72sXDhhRcmT4bv1cRLAgQIECBAgAABAgQIECBAgAABAgQItC2Q+yXwd911V9i9e3c46qijwrJly1LDz9jj9773vSGGoBMnTgzxIUn3339/2wOxIgECBAgQIECAAAECBAgQIECAAAECBPoK5B6Axsva43TjjTdmOpvz+OOPD5dffnmyzmOPPZb86T8ECBAgQIAAAQIECBAgQIAAAQIECBDIQyDXAHTv3r1h9erVSb9OOeWUzP1rtI33BjURIECAAAECBAgQIECAAAECBAgQIEAgL4FcA9DRo0eHjo5f3lZ027ZtmfsYH4wUp2nTpmVeR0MCBAgQIECAAAECBAgQIECAAAECBAgMJJBrABqf+H7ssccm+3zyyScH2nfP8ieeeCJ5/Vu/9Vs987wgQIAAAQIECBAgQIAAAQIECBAgQIDAUAVyDUBjZ0499dSkTzfddFNYu3btgP37j//4j56HH5100kkDtteAAAECBAgQIECAAAECBAgQIECAAAECWQVyD0Cvv/76MHny5LBp06ZwxhlnhHvvvTfEe4P2nbZs2RJuvvnm8IEPfCDs378/xLM/L7nkkr7NvCdAgAABAgQIECBAgAABAgQIECBAgEDbAr+8YWfbqzevOGfOnPDpT386fPzjHw8/+clPkie8X3PNNeHoo48ORx55ZNi1a1d45ZVXwksvvRQa9/4cO3ZsuO+++8K4ceOaN2gOAQIECBAgQIAAAQIECBAgQIAAAQIE2hTIPQCN/fizP/uzMH/+/PCRj3wkCUE3bNgQVq5cmfz07eeCBQvCF77wheDy974y3hMgQIAAAQIECBAgQIAAAQIECBAgMFSBYQlAY6d+53d+J/z3f/93+OIXv5j8+aMf/Sg8//zzIZ7tOW/evORn0aJFoaurK4wZM2ao47A+AQIECBAgQCCTQPzuYSJAgAABAgQIECBAoD4CwxaARsJp06aF6667rkcz3uszPineRIAAAQIECBAgQIAAAQIECBAgQIAAgZEQyP0hSH07vWPHjp5ZvcPP7373uz33AO1p4AUBAgQIECBAgAABAgQIECBAgAABAgRyFBi2APSJJ54I733ve8M73vGOfrv7oQ99KMyaNSv80R/9Ufj5z3/ebxszCRAgQIAAAQIECBAgQIAAAQIECBAgMBSBYQlA77333nD22WeHb33rW+GFF15Invzeu5P79u0Lr776ati+fXtYunRpWLhwYVi1alXvJl4TIECAAAECBAgQIECAAAECBAgQIEBgyAK5B6Br1qwJV155Zdi9e3fSuXPPPbcpAI0LHnjggfCnf/qnYfTo0eGVV14Jl156aYjBqIkAAQIECBAgQIAAAQIECBAgQIAAAQJ5CeQegN56661hz5494eCDDw7f/va3w7Jly8LkyZMP6G8MPS+44ILw93//9+GRRx4JHR0dYeXKleH+++8/oJ03BAgQIECAAAECBAgQIECAAAECBAgQGIpA7gHoihUrkv50dXWFRYsWDdi3s846K/zJn/xJ0u473/nOgO01IECAAAECBAgQIECAAAECBAgQIECAQFaBXAPQvXv3Jpezx51fcsklWfsQ3vWudyVtf/SjH2VeR0MCBAgQIECAAAECBAgQIECAAAECBAgMJJBrADpq1Kjknp5xp/Ey+KzTjh07kqadnZ1ZV9GOAAECBAgQIECAAAECBAgQIECAAAECAwrkGoDGe3vOnTs32enjjz8+4M4bDf7zP/8zeXniiSc2ZvmTAAECBAgQIECAAAECBAgQIECAAAECQxbINQCNvfn93//9pFM33nhjeOGFFwbsYHwI0pe//OWk3cKFCwdsrwEBAgQIECBAgAABAgQIECBAgAABAgSyCuQegH70ox8N8VL2LVu2hNNOOy3Ep8L/7Gc/O6A/+/fvT+4VetVVV4ULL7ww7Nu3L5x88smDum/oARv0hgABAgQIECBAgAABAgQIECBAgAABAv0I5B6AHnPMMeHv/u7vkl1t2LAh3HDDDeHggw8OkydPDscdd1x4+9vfHiZMmBCOOuqo8PnPfz5s3749ef9P//RPoaOjo58umkWAAAECBAgQIECAAAECBAgQIECAAIH2BHIPQGM3urq6wte//vVw2GGH9fRq27Zt4fnnnw9r164NO3fu7Jn/e7/3e+HZZ58Nxx57bM88LwgQIECAAAECBAgQIECAAAECBAgQIJCHwLCdchnvBXruueeGeI/PZcuWJcHnG2+8ESZOnBjiWaLx513velc466yz8hiHbRAgQIAAAQIECBAgQIAAAQIECBAgQKBJYNgC0LineC/QeIZn/DERIECAAAECBAgQIECAAAECBAgQIEBgpAWG5RL4kR6E/REgQIAAAQIECBAgQIAAAQIECBAgQKA/AQFofyrmESBAgAABAgQIECBAgAABAgQIECBQCQEBaCXKaBAECBAgQIAAAQIECBAgQIAAAQIECPQnIADtT8U8AgQIECBAgAABAgQIECBAgAABAgQqISAArUQZDYIAAQIECBAgQIAAAQIECBAgQIAAgf4EBKD9qZhHgAABAgQIECBAgAABAgQIECBAgEAlBASglSijQRAgQIAAAQIECBAgQIAAAQIECBAg0J+AALQ/FfMIECBAgAABAgQIECBAgAABAgQIEKiEgAC0EmU0CAIECBAgQIAAAQIECBAgQIAAAQIE+hPo6G+meQQIECBAgAABAgQIECBAoEgCXV1dRepO0pclS5YUrk86RIAAAQLNAs4AbTYxhwABAgQIECBAgAABAgQIECBAgACBiggIQCtSSMMgQIAAAQIECBAgQIAAAQIECBAgQKBZQADabGIOAQIECBAgQIAAAQIECBAgQIAAAQIVERCAVqSQhkGAAAECBAgQIECAAAECBAgQIECAQLOAALTZxBwCBAgQIECAAAECBAgQIECAAAECBCoiIACtSCENgwABAgQIECBAgAABAgQIECBAgACBZgEBaLOJOQQIECBAgAABAgQIECBAgAABAgQIVERAAFqRQhoGAQIECBAgQIAAAQIECBAgQIAAAQLNAgLQZhNzCBAgQIAAAQIECBAgQIAAAQIECBCoiIAAtCKFNAwCBAgQIECAAAECBAgQIECAAAECBJoFBKDNJuYQIECAAAECBAgQIECAAAECBAgQIFARAQFoRQppGAQIECBAgAABAgQIECBAgAABAgQINAsIQJtNzCFAgAABAgQIECBAgAABAgQIECBAoCICAtCKFNIwCBAgQIAAAQIECBAgQIAAAQIECBBoFhCANpuYQ4AAAQIECBAgQIAAAQIECBAgQIBARQQEoBUppGEQIECAAAECBAgQIECAAAECBAgQINAsIABtNjGHAAECBAgQIECAAAECBAgQIECAAIGKCAhAK1JIwyBAgAABAgQIECBAgAABAgQIECBAoFlAANpsYg4BAgQIECBAgAABAgQIECBAgAABAhUREIBWpJCGQYAAAQIECBAgQIAAAQIECBAgQIBAs4AAtNnEHAIECBAgQIAAAQIECBAgQIAAAQIEKiIgAK1IIQ2DAAECBAgQIECAAAECBAgQIECAAIFmAQFos4k5BAgQIECAAAECBAgQIECAAAECBAhUREAAWpFCGgYBAgQIECBAgAABAgQIECBAgAABAs0CAtBmE3MIECBAgAABAgQIECBAgAABAgQIEKiIgAC0IoU0DAIECBAgQIAAAQIECBAgQIAAAQIEmgUEoM0m5hAgQIAAAQIECBAgQIAAAQIECBAgUBEBAWhFCmkYBAgQIECAAAECBAgQIECAAAECBAg0CwhAm03MIUCAAAECBAgQIECAAAECBAgQIECgIgIC0IoU0jAIECBAgAABAgQIECBAgAABAgQIEGgWEIA2m5hDgAABAgQIECBAgAABAgQIECBAgEBFBASgFSmkYRAgQIAAAQIECBAgQIAAAQIECBAg0CwgAG02MYcAAQIECBAgQIAAAQIECBAgQIAAgYoICEArUkjDIECAAAECBAgQIECAAAECBAgQIECgWaCjeZY5ZRQYM2ZMmDVrVhm7PiJ9HjVqVM9+Jk6cGDo7O3vee0GglcC0adPC/v37WzWxjEDofYyZNGlSmDBhAhUCBAgQIECgBgJV+B1s9Ohfnxc1efLkEH9fMhFoJdD47jt9+vRWzSwjkAj0PcbE35feikkA+laoD8M+Y0Cze/fuYdhyNTYZA+KOjl9+3Pfu3Rv27NlTjYEZxbAJxP+pjx07Nvms7Nu3b9j2Y8PVEHCMqUYdjYIAAQIECAxWoAq/g8Xfk+J3mTj5XWmwn4B6to+BVvzcxN+rnSxSz8/AYEbd9xgTjzPtTvF39HYnAWi7cgVbLwY0W7ZsKVivitOdeMbn+PHjkw7t3LkzbN26tTid05NCCsQvgfEsvm3btoVdu3YVso86VRyB+FlpHGN27NiRfG6K0zs9IUCAAAECBIZLYNOmTcO16RHbbjwba9y4ccn+tm/fHrq7u0ds33ZUToH4eYm/Y8ffq51cVM4ajmSv+x5j4nGm3WkoZ6j/+lz3dvduPQIECBAgQIAAAQIECBAgQIAAAQIECBRUQABa0MLoFgECBAgQIECAAAECBAgQIECAAAECQxcQgA7d0BYIECBAgAABAgQIECBAgAABAgQIECiogAC0oIXRLQIECBAgQIAAAQIECBAgQIAAAQIEhi4gAB26oS0QIECAAAECBAgQIECAAAECBAgQIFBQAQFoQQujWwQIECBAgAABAgQIECBAgAABAgQIDF1AADp0Q1sgQIAAAQIECBAgQIAAAQIECBAgQKCgAgLQghZGtwgQIECAAAECBAgQIECAAAECBAgQGLqAAHTohrZAgAABAgQIECBAgAABAgQIECBAgEBBBQSgBS2MbhEgQIAAAQIECBAgQIAAAQIECBAgMHQBAejQDW2BAAECBAgQIECAAAECBAgQIECAAIGCCghAC1oY3SJAgAABAgQIECBAgAABAgQIECBAYOgCAtChG9oCAQIECBAgQIAAAQIECBAgQIAAAQIFFRCAFrQwukWAAAECBAgQIECAAAECBAgQIECAwNAFBKBDN7QFAgQIECBAgAABAgQIECBAgAABAgQKKiAALWhhdIsAAQIECBAgQIAAAQIECBAgQIAAgaELCECHbmgLBAgQIECAAAECBAgQIECAAAECBAgUVEAAWtDC6BYBAgQIECBAgAABAgQIECBAgAABAkMXEIAO3dAWCBAgQIAAAQIECBAgQIAAAQIECBAoqIAAtKCF0S0CBAgQIECAAAECBAgQIECAAAECBIYuIAAduqEtECBAgAABAgQIECBAgAABAgQIECBQUIGOgvZLtwgQIECAAIEKCHR1dVVgFIZAgAABAgQIECBAgECZBZwBWubq6TsBAgQIECBAgAABAgQIECBAgAABAi0FBKAteSwkQIAAAQIECBAgQIAAAQIECBAgQKDMAgLQMldP3wkQIECAAAECBAgQIECAAAECBAgQaCkgAG3JYyEBAgQIECBAgAABAgQIECBAgAABAmUWEICWuXr6ToAAAQIECBAgQOD/27sT+NnK+XHgT93bbV9ve9o3SWnxq/79aJeIiOKHwtUvFCIqRQtatNCGnza/khBFKdwklaiUiFJJC61K2m/d9vufz/l5xnznzvr9zsx3Zr7v5/X63jlzznOe85z3mTl35jPPQoAAAQIECBAgQKChgABoQx4bCRAgQIAAAQIECBAgQIAAAQIECBAYZAEB0EG+eupOgAABAgQIECBAgAABAgQIECBAgEBDAQHQhjw2EiBAgAABAgQIECBAgAABAgQIECAwyAICoIN89dSdAAECBAgQIECAAAECBAgQIECAAIGGAgKgDXlsJECAAAECBAgQIECAAAECBAgQIEBgkAUEQAf56qk7AQIECBAgQIAAAQIECBAgQIAAAQINBQRAG/LYSIAAAQIECBAgQIAAAQIECBAgQIDAIAsIgA7y1VN3AgQIECBAgAABAgQIECBAgAABAgQaCgiANuSxkQABAgQIECBAgAABAgQIECBAgACBQRYQAB3kq6fuBAgQIECAAAECBAgQIECAAAECBAg0FBAAbchjIwECBAgQIECAAAECBAgQIECAAAECgywgADrIV0/dCRAgQIAAAQIECBAgQIAAAQIECBBoKDC54VYbCRAgQIAAAQIECBAgQIAAgZoC06ZNq7l+vFaefvrp43VoxyVAgEBfC2gB2teXR+UIECBAgAABAgQIECBAgAABAgQIEBiLgADoWPTsS4AAAQIECBAgQIAAAQIECBAgQIBAXwsIgPb15VE5AgQIECBAgAABAgQIECBAgAABAgTGIiAAOhY9+xIgQIAAAQIECBAgQIAAAQIECBAg0NcCAqB9fXlUjgABAgQIECBAgAABAgQIECBAgACBsQgIgI5Fz74ECBAgQIAAAQIECBAgQIAAAQIECPS1gABoX18elSNAgAABAgQIECBAgAABAgQIECBAYCwCAqBj0bMvAQIECBAgQIAAAQIECBAgQIAAAQJ9LSAA2teXR+UIECBAgAABAgQIECBAgAABAgQIEBiLgADoWPTsS4AAAQIECBAgQIAAAQIECBAgQIBAXwsIgPb15VE5AgQIECBAgAABAgQIECBAgAABAgTGIiAAOhY9+xIgQIAAAQIECBAgQIAAAQIECBAg0NcCAqB9fXlUjgABAgQIECBAgAABAgQIECBAgACBsQgIgI5Fz74ECBAgQIAAAQIECBAgQIAAAQIECPS1gABoX18elSNAgAABAgQIECBAgAABAgQIECBAYCwCAqBj0bMvAQIECBAgQIAAAQIECBAgQIAAAQJ9LSAA2teXR+UIECBAgAABAgQIECBAgAABAgQIEBiLgADoWPTsS4AAAQIECBAgQIAAAQIECBAgQIBAXwsIgPb15VE5AgQIECBAgAABAgQIECBAgAABAgTGIiAAOhY9+xIgQIAAAQIECBAgQIAAAQIECBAg0NcCAqB9fXlUjgABAgQIECBAgAABAgQIECBAgACBsQgIgI5Fz74ECBAgQIAAAQIECBAgQIAAAQIECPS1gABoX18elSNAgAABAgQIECBAgAABAgQIECBAYCwCAqBj0bMvAQIECBAgQIAAAQIECBAgQIAAAQJ9LSAA2teXR+UIECBAgAABAgQIECBAgAABAgQIEBiLgADoWPTsS4AAAQIECBAgQIAAAQIECBAgQIBAXwtM7uvaqRwBAgQIECBAgAABAgQIECDQksC0adNaytfLTKeffnovD+dYBAgQqCmgBWhNFisJECBAgAABAgQIECBAgAABAgQIEBgGAQHQYbiKzoEAAQIECBAgQIAAAQIECBAgQIAAgZoCAqA1WawkQIAAAQIECBAgQIAAAQIECBAgQGAYBARAh+EqOgcCBAgQIECAAAECBAgQIECAAAECBGoKCIDWZLGSAAECBAgQIECAAAECBAgQIECAAIFhEBAAHYar6BwIECBAgAABAgQIECBAgAABAgQIEKgpIABak8VKAgQIECBAgAABAgQIECBAgAABAgSGQUAAdBiuonMgQIAAAQIECBAgQIAAAQIECBAgQKCmgABoTRYrCRAgQIAAAQIECBAgQIAAAQIECBAYBgEB0GG4is6BAAECBAgQIECAAAECBAgQIECAAIGaAgKgNVmsJECAAAECBAgQIECAAAECBAgQIEBgGAQEQIfhKjoHAgQIECBAgAABAgQIECBAgAABAgRqCgiA1mSxkgABAgQIECBAgAABAgQIECBAgACBYRAQAB2Gq+gcCBAgQIAAAQIECBAgQIAAAQIECBCoKSAAWpPFSgIECBAgQIAAAQIECBAgQIAAAQIEhkFAAHQYrqJzIECAAAECBAgQIECAAAECBAgQIECgpoAAaE0WKwkQIECAAAECBAgQIECAAAECBAgQGAYBAdBhuIrOgQABAgQIECBAgAABAgQIECBAgACBmgICoDVZrCRAgAABAgQIECBAgAABAgQIECBAYBgEBECH4So6BwIECBAgQIAAAQIECBAgQIAAAQIEagoIgNZksZIAAQIECBAgQIAAAQIECBAgQIAAgWEQEAAdhqvoHAgQIECAAAECBAgQIECAAAECBAgQqCkgAFqTxUoCBAgQIECAAAECBAgQIECAAAECBIZBQAB0GK6icyBAgAABAgQIECBAgAABAgQIECBAoKaAAGhNFisJECBAgAABAgQIECBAgAABAgQIEBgGAQHQYbiKzoEAAQIECBAgQIAAAQIECBAgQIAAgZoCk2uuHeCVDz/8cPr+97+f7rjjjvTggw+mJZdcMq288srpne98Z1piiSVmO7Onn346nXrqqbOtr1yx/fbbp9VWW61yVXr22WfTueeem6677rr06KOPptVXXz2tt956abvttkuTJk0akTc/Gc0+eV+PBAgQIECAAAECBAgQIECAAAECBAi0LzBUAdDLL788HXHEEWnmzJlFEHLq1Knpd7/7Xbr22mvTBRdckD796U+nrbfeeoTS7bffXgQyR6ysehKBzcoA6GOPPZb23HPPdM899xQ5F1tssXTRRRcVf1dddVU65JBD0pQpU0aUMpp9RhTgCQECBAgQIECAAAECBAgQIECAAAECbQsMTQD0vvvuKwc/p02blt7znvekueeeu2ipeeaZZ6b4O/LII9Maa6yRll9++TLUbbfdVixvuOGGaauttiqvr1yI1p2V6dBDDy2CnxtvvHE66KCD0sILL5zi+J/97GfTFVdckU488cS0zz77VO6SRrPPiAI8IUCAAAECBAgQIECAAAECBAgQIECgbYGhGQP0wgsvLFp+brPNNukDH/hAEfwMjQiC7r777mmLLbZIzzzzTIp8lSkHQCP4ucMOO9T8W3bZZcu73HzzzUWL0nnnnTcddthhRfAzNi633HLp2GOPLVqeTp8+PT355JNj2qe8swUCBAgQIECAAAECBAgQIECAAAECBEYtMDQB0Ouvv75AeO1rX1sTI1prRoou75UpP19zzTUrV9ddjm72kTbffPM0zzzzFMv5n+gKv9FGG6XnnnsuRRA0p9Hsk/f1SIAAAQIECBAgQIAAAQIECBAgQIDA6AWGJgAa3c6/973vpU022aSmxiOPPFKsX2SRRcrbX3jhhXTnnXemyZMnp1VWWaVY/8QTTxTd5suZqhZuuummYk0OqFZtLgKgse6GG24obxrNPuWdLRAgQIAAAQIECBAgQIAAAQIECBAgMGqBoRkDNLq6V3ZVrxSJQGdukbn22muXN911113p+eefTyussEL6zne+k84777wUs8jPOeecxbpdd901bbvttuX8sRBjfUaqDKQWK/71T16fJ0iK1aPZp7LMvBzd9aN1aa00//zzp/iTagtMmjSpvCGubwS9JQKNBPJrJh69XhpJ2RYCcV/JyT0mS3gkQIAAAQIECCSfpYfwRZC/K/meNIQXtwun1C/flSZEFOjkk09O9957bzFO5/bbb1++nHn8z7vvvjuddtppafHFF08xGdLf/va34i8mLvr973+f9t9///I+Tz31VLGcA53lDf9aWGihhYqlnC+e5OV29vlXcSMe9thjj/LM8yM2lJ586lOfSh/84AerV3teQ0CwuAaKVXUF6r1v6+5gw4QXWGCBBVL8jUfabrvtxuOwjkmAAAECBAgQqCuwxBJL1N1mw2ALLLroooN9Amrfc4EcM+v5gUsHHPoA6Nlnn53iLyLOn/nMZ0aM25nH/1xwwQWLGeTXW2+94hrMmjWraA16/PHHp5/85CdFt/otttgivfTSS8VESpEp9qmV8pfeZ599ttg8mn1qlWsdAQIECBAgQIAAAQIECBAgQIAAAQLtCwx1APSUU05J3/rWt4rg54EHHpjWXXfdEULve9/70tZbb13M5F7ZfX6OOeZIb3vb24pWoNEt/qyzzkoRAI0gasz+PnPmzLrjhObA55QpU4pjjWafEZWseBJ1/ec//1mx5t+LK664YlGvf6+xVCkQTfTzNYlhD2JYBIlAI4G4D8REZ/Gejh8yJAKNBNxjGunYRoAAAQIECExkgfj+LA2XQMQ5YhjCZ555JkUDMolAI4EYKmGuueYqssSwji+++GKj7A23RUxutGkoA6AR4DryyCPTxRdfXAS9Dj744GLW9mqkaMW51lprVa8uP99mm22KlqB//etfiwBIvMmjm3yM7/nkk0+W81Uu5PWV43GOZp/KMvPyAQcckBdne4zJmx577LHZ1lvxfwIRyMoB0LhJz5gxAw2BhgIR0IrXTbxW6o2927AAGyeUQPxHnO8x8SE/D30yoRCcLAECBAgQIECghoDvqTVQBnxVfO6NAGjEPzQuGvCL2YPqR3wsB0CffvrpMTXeG0sA9N+zNvTgpHtxiHgDxniYEfyMsQWiG/vmm28+qkMvtdRSxX4R/MhfZiOYGSkHOosnFf9EIDJS5VgYo9mnokiLBAgQIECAAAECBAgQIECAAAECBAiMUmCoAqARfPzYxz6Wrr/++vSyl70snXTSSWmdddapS3POOecUef5WmvSoVnrwwQeL1RFIzWN+LrnkksW6O++8s9YuKa+vbFk6mn1qFm4lAQIECBAgQIAAAQIECBAgQIAAAQJtCQxNADTGnYjZ2u+444605pprFoHN5ZdfviHGJZdckr797W+nb37zmzXz/frXvy7Wr7322uXtMQ5npNi3OsU4gZdeemmxOk+oFE9Gs0912Z4TIECAAAECBAgQIECAAAECBAgQINC+wNAEQC+88MJ04403FmN0HnPMMcXERs04ttxyyyJLBC0jcFqZfve736VoIRppt912K2/aZJNN0korrZRuu+22NH369PL6WIhg6sMPP5xiQqKNN964vG00+5R3tkCAAAECBAgQIECAAAECBAgQIECAwKgFhmISpJilObq7R4pZ0nfccce6IKuttlo67bTTiu0777xzuuqqq4ou8+9///vThhtuWPzdfvvt6bLLLivy7LnnnkWL0lxgzAy9++67p5hY6YgjjkhXX311Wn311YvgayzHwK777bdfinw5jWafvK9HAgQIECBAgAABAgQIECBAgAABAgRGLzAUAdCYpb1yUqIXX3yxrkjlDGUxy/PRRx9dtNz8zne+k6LVZ/xFiu7ze+21V4rWm9Vps802S8cdd1wRAI1AaQ6WRsvQvffeO6277rrVu6TR7DNbIVYQIECAAAECBAgQIECAAAECBAgQINCWwBylsTNntbXHkGaOwOj999+fHnvssbTKKqukBRZYoKUzjS7v99xzT4qJjpZeeuk055zNRxUYzT7NKhMTQOWZ6pvlnYjb55lnnrTooosWpx7B8hkzZkxEBufchkD8QBLv63i/Pvfcc23sKetEFJh33nnTIossUpz6eN6Pp02bNhH5nTMBAgQIECDQxwKnn356H9dO1UYjMGXKlDR16tT00EMPpcpGZqMpyz7DLzD//POnmFw8UsTcZs6cOeqTXmaZZUa971C0AB312VfsOHny5LTCCisUfxWrmy7Gmz7+2kmj2aed8uUlQIAAAQIECBAgQIAAAQIECBAgQOD/BJo3VyRFgAABAgQIECBAgAABAgQIECBAgACBARUQAB3QC6faBAgQIECAAAECBAgQIECAAAECBAg0FxAAbW4kBwECBAgQIECAAAECBAgQIECAAAECAyogADqgF061CRAgQIAAAQIECBAgQIAAAQIECBBoLiAA2txIDgIECBAgQIAAAQIECBAgQIAAAQIEBlRAAHRAL5xqEyBAgAABAgQIECBAgAABAgQIECDQXEAAtLmRHAQIECBAgAABAgQIECBAgAABAgQIDKiAAOiAXjjVJkCAAAECBAgQIECAAAECBAgQIECguYAAaHMjOQgQIECAAAECBAgQIECAAAECBAgQGFABAdABvXCqTYAAAQIECBAgQIAAAQIECBAgQIBAcwEB0OZGchAgQIAAAQIECBAgQIAAAQIECBAgMKACAqADeuFUmwABAgQIECBAgAABAgQIECBAgACB5gICoM2N5CBAgAABAgQIECBAgAABAgQIECBAYEAFBEAH9MKpNgECBAgQIECAAAECBAgQIECAAAECzQUEQJsbyUGAAAECBAgQIECAAAECBAgQIECAwIAKCIAO6IVTbQIECBAgQIAAAQIECBAgQIAAAQIEmgsIgDY3koMAAQIECBAgQIAAAQIECBAgQIAAgQEVEAAd0Aun2gQIECBAgAABAgQIECBAgAABAgQINBcQAG1uJAcBAgQIECBAgAABAgQIECBAgAABAgMqIAA6oBdOtQkQIECAAAECBAgQIECAAAECBAgQaC4gANrcSA4CBAgQIECAAAECBAgQIECAAAECBAZUQAB0QC+cahMgQIAAAQIECBAgQIAAAQIECBAg0FxAALS5kRwECBAgQIAAAQIECBAgQIAAAQIECAyogADogF441SZAgAABAgQIECBAgAABAgQIECBAoLmAAGhzIzkIECBAgAABAgQIECBAgAABAgQIEBhQAQHQAb1wqk2AAAECBAgQIECAAAECBAgQIECAQHMBAdDmRnIQIECAAAECBAgQIECAAAECBAgQIDCgAgKgA3rhVJsAAQIECBAgQIAAAQIECBAgQIAAgeYCAqDNjeQgQIAAAQIECBAgQIAAAQIECBAgQGBABQRAB/TCqTYBAgQIECBAgAABAgQIECBAgAABAs0FBECbG8lBgAABAgQIECBAgAABAgQIECBAgMCACgiADuiFU20CBAgQIECAAAECBAgQIECAAAECBJoLCIA2N5KDAAECBAgQIECAAAECBAgQIECAAIEBFRAAHdALp9oECBAgQIAAAQIECBAgQIAAAQIECDQXEABtbiQHAQIECBAgQIAAAQIECBAgQIAAAQIDKiAAOqAXTrUJECBAgAABAgQIECBAgAABAgQIEGguIADa3EgOAgQIECBAgAABAgQIECBAgAABAgQGVEAAdEAvnGoTIECAAAECBAgQIECAAAECBAgQINBcQAC0uZEcBAgQIECAAAECBAgQIECAAAECBAgMqIAA6IBeONUmQIAAAQIECBAgQIAAAQIECBAgQKC5gABocyM5CBAgQIAAAQIECBAgQIAAAQIECBAYUAEB0AG9cKpNgAABAgQIECBAgAABAgQIECBAgEBzAQHQ5kZyECBAgAABAgQIECBAgAABAgQIECAwoAICoAN64VSbAAECBAgQIECAAAECBAgQIECAAIHmAgKgzY3kIECAAAECBAgQIECAAAECBAgQIEBgQAUEQAf0wqk2AQIECBAgQIAAAQIECBAgQIAAAQLNBQRAmxvJQYAAAQIECBAgQIAAAQIECBAgQIDAgAoIgA7ohVNtAgQIECBAgAABAgQIECBAgAABAgSaCwiANjeSgwABAgQIECBAgAABAgQIECBAgACBARUQAB3QC6faBAgQIECAAAECBAgQIECAAAECBAg0F5jcPIscBAgQIECAQLXAtGnTqld5ToAAAQIECBAgQIAAAQJ9KKAFaB9eFFUiQIAAAQIECBAgQIAAAQIECBAgQKAzAgKgnXFUCgECBAgQIECAAAECBAgQIECAAAECfSggANqHF0WVCBAgQIAAAQIECBAgQIAAAQIECBDojIAAaGcclUKAAAECBAgQIECAAAECBAgQIECAQB8KCID24UVRJQIECBAgQIAAAQIECBAgQIAAAQIEOiMgANoZR6UQIECAAAECBAgQIECAAAECBAgQINCHAgKgfXhRVIkAAQIECBAgQIAAAQIECBAgQIAAgc4ICIB2xlEpBAgQIECAAAECBAgQIECAAAECBAj0oYAAaB9eFFUiQIAAAQIECBAgQIAAAQIECBAgQKAzAgKgnXFUCgECBAgQIECAAAECBAgQIECAAAECfSggANqHF0WVCBAgQIAAAQIECBAgQIAAAQIECBDojIAAaGcclUKAAAECBAgQIECAAAECBAgQIECAQB8KCID24UVRJQIECBAgQIAAAQIECBAgQIAAAQIEOiMgANoZR6UQIECAAAECBAgQIECAAAECBAgQINCHAgKgfXhRVIkAAQIECBAgQIAAAQIECBAgQIAAgc4ICIB2xlEpBAgQIECAAAECBAgQIECAAAECBAj0oYAAaB9eFFUiQIAAAQIECBAgQIAAAQIECBAgQKAzAgKgnXFUCgECBAgQIECAAAECBAgQIECAAAECfSggANqHF0WVCBAgQIAAAQIECBAgQIAAAQIECBDojIAAaGcclUKAAAECBAgQIECAAAECBAgQIECAQB8KCID24UVRJQIECBAgQIAAAQIECBAgQIAAAQIEOiMgANoZR6UQIECAAAECBAgQIECAAAECBAgQINCHAgKgfXhRVIkAAQIECBAgQIAAAQIECBAgQIAAgc4ICIB2xlEpBAgQIECAAAECBAgQIECAAAECBAj0oYAAaB9eFFUiQIAAAQIECBAgQIAAAQIECBAgQKAzAgKgnXFUCgECBAgQIECAAAECBAgQIECAAAECfSggANqHF0WVCBAgQIAAAQIECBAgQIAAAQIECBDojIAAaGcclUKAAAECBAgQIECAAAECBAgQIECAQB8KCID24UVRJQIECBAgQIAAAQIECBAgQIAAAQIEOiMgANoZR6UQIECAAAECBAgQIECAAAECBAgQINCHAgKgfXhRVIkAAQIECBAgQIAAAQIECBAgQIAAgc4ICIB2xlEpBAgQIECAAAECBAgQIECAAAECBAj0oYAAaB9eFFUiQIAAAQIECBAgQIAAAQIECBAgQKAzAgKgnXFUCgECBAgQIECAAAECBAgQIECAAAECfSggANqHF0WVCBAgQIAAAQIECBAgQIAAAQIECBDojIAAaGcclUKAAAECBAgQIECAAAECBAgQIECAQB8KCID24UVRJQIECBAgQIAAAQIECBAgQIAAAQIEOiMgANoZR6UQIECAAAECBAgQIECAAAECBAgQINCHAgKgfXhRVIkAAQIECBAgQIAAAQIECBAgQIAAgc4ICIB2xlEpBAgQIECAAAECBAgQIECAAAECBAj0ocDkPqyTKo1SYPJkl7Me3aRJk8qb5pxzzsSqzGGhjkB+zcSj10sdJKsJECBAgAABAgQINBHwWboJ0ABurvyuNIDVV+UeC0QMJqfxjMeImOWrMOCP8Z/KQgstNOBn0Zvqzz///Cn+JAKtCCyyyCKtZJOHAAECBAgQIECAAIEaAksssUSNtVYNg8Biiy02DKfhHHooMJ5xKwHQHl7obh7qxRdfTA8//HA3DzHQZU+ZMiUtuOCCxTk8/fTTaebMmQN9PirffYH4ZWrRRRdNTzzxRHr++ee7f0BHIECAAAECBAgQIDCEAr6nDt9FjQZYCy+8cHrsscdSxCIkAo0E5p133jTffPMVWWbMmJGeffbZRtkbbps6dWrD7Y02CoA20hmgbbNmzUrPPffcANW4t1WtbHIdN2hWvfUfxKPlbh0R/PR6GcQrqM4ECBAgQIAAAQL9IOCzdD9che7UIb4rvfDCC90pXKlDIzDXXHOVzyVeL+N1T/h3R/xydSwQIECAAAECBAgQIECAAAECBAgQIEBgOAQEQIfjOjoLAgQIECBAgAABAgQIECBAgAABAgRqCAiA1kCxigABAgQIECBAgAABAgQIECBAgACB4RAQAB2O6+gsCBAgQIAAAQIECBAgQIAAAQIECBCoISAAWgPFKgIECBAgQIAAAQIECBAgQIAAAQIEhkNAAHQ4rqOzIECAAAECBAgQIECAAAECBAgQIECghsDkGuusIkCAAAECfSUwbdq0vqqPyhAgQIAAAQIECBAgQIDA4AhoATo410pNCRAgQIAAAQIECBAgQIAAAQIECBBoU0AAtE0w2QkQIECAAAECBAgQIECAAAECBAgQGBwBAdDBuVZqSoAAAQIECBAgQIAAAQIECBAgQIBAmwICoG2CyU6AAAECBAgQIECAAAECBAgQIECAwOAICIAOzrVSUwIECBAgQIAAAQIECBAgQIAAAQIE2hQQAG0TTHYCBAgQIECAAAECBAgQIECAAAECBAZHQAB0cK6VmhIgQIAAAQIECBAgQIAAAQIECBAg0KaAAGibYLITIECAAAECBAgQIECAAAECBAgQIDA4AgKgg3Ot1JQAAQIECBAgQIAAAQIECBAgQIAAgTYFBEDbBJOdAAECBAgQIECAAAECBAgQIECAAIHBERAAHZxrpaYECBAgQIAAAQIECBAgQIAAAQIECLQpIADaJpjsBAgQIECAAAECBAgQIECAAAECBAgMjoAA6OBcKzUlQIAAAQIECBAgQIAAAQIECBAgQKBNAQHQNsFkJ0CAAAECBAgQIECAAAECBAgQIEBgcAQEQAfnWqkpAQIECBAgQIAAAQIECBAgQIAAAQJtCgiAtgkmOwECBAgQIECAAAECBAgQIECAAAECgyMgADo410pNCRAgQIAAAQIECBAgQIAAAQIECBBoU0AAtE0w2QkQIECAAAECBAgQIECAAAECBAgQGBwBAdDBuVZqSoAAAQIECBAgQIAAAQIECBAgQIBAmwICoG2CyU6AAAECBAgQIECAAAECBAgQIECAwOAICIAOzrVSUwIECBAgQIAAAQIECBAgQIAAAQIE2hQQAG0TTHYCBAgQIECAAAECBAgQIECAAAECBAZHQAB0cK6VmhIgQIAAAQIECBAgQIAAAQIECBAg0KaAAGibYLITIECAAAECBAgQIECAAAECBAgQIDA4AgKgg3Ot1JQAAQIECBAgQIAAAQIECBAgQIAAgTYFBEDbBJOdAAECBAgQIECAAAECBAgQIECAAIHBERAAHZxrpaYECBAgQIAAAQIECBAgQIAAAQIECLQpIADaJpjsBAgQIECAAAECBAgQIECAAAECBAgMjoAA6OBcKzUlQIAAAQIECBAgQIAAAQIECBAgQKBNAQHQNsFkJ0CAAAECBAgQIECAAAECBAgQIEBgcAQEQAfnWqkpAQIECBAgQIAAAQIECBAgQIAAAQJtCkxuM7/sBAgQIDABBKZNmzYBztIpEiBAgAABAgQIECBAgMBEENACdCJcZedIgAABAgQIECBAgAABAgQIECBAYIIKaAE6QS+80yZAgAABAgQIECBAgAABAt0W6MeeRaeffnq3T1v5BAj0mYAWoH12QVSHAAECBAgQIECAAAECBAgQIECAAIHOCQiAds5SSQQIECBAgAABAgQIECBAgAABAgQI9JmAAGifXRDVIUCAAAECBAgQIECAAAECBAgQIECgcwICoJ2zVBIBAgQIECBAgAABAgQIECBAgAABAn0mIADaZxdEdQgQIECAAAECBAgQIECAAAECBAgQ6JyAAGjnLJVEgAABAgQIECBAgAABAgQIECBAgECfCQiA9tkFUR0CBAgQIECAAAECBAgQIECAAAECBDonIADaOUslESBAgAABAgQIECBAgAABAgQIECDQZwICoH12QVSHAAECBAgQIECAAAECBAgQIECAAIHOCQiAds5SSQQIECBAgAABAgQIECBAgAABAgQI9JmAAGifXRDVIUCAAAECBAgQIECAAAECBAgQIECgcwICoJ2zVBIBAgQIECBAgAABAgQIECBAgAABAn0mIADaZxdEdQgQIECAAAECBAgQIECAAAECBAgQ6JyAAGjnLJVEgAABAgQIECBAgAABAgQIECBAgECfCQiA9tkFUR0CBAgQIECAAAECBAgQIECAAAECBDonIADaOUslESBAgAABAgQIECBAgAABAgQIECDQZwICoH12QVSHAAECBAgQIECAAAECBAgQIECAAIHOCQiAds5SSQQIECBAgAABAgQIECBAgAABAgQI9JmAAGifXRDVIUCAAAECBAgQIECAAAECBAgQIECgcwICoJ2zVBIBAgQIECBAgAABAgQIECBAgAABAn0mIADaZxdEdQgQIECAAAECBAgQIECAAAECBAgQ6JyAAGjnLJVEgAABAgQIECBAgAABAgQIECBAgECfCQiA9tkFUR0CBAgQIECAAAECBAgQIECAAAECBDonIADaOUslESBAgAABAgQIECBAgAABAgQIECDQZwICoH12QVSHAAECBAgQIECAAAECBAgQIECAAIHOCQiAds5SSQQIECBAgAABAgQIECBAgAABAgQI9JmAAGifXRDVIUCAAAECBAgQIECAAAECBAgQIECgcwICoJ2zVBIBAgQIECBAgAABAgQIECBAgAABAn0mMLnP6qM6BAgQmHAC06ZNm3Dn7IQJECBAgAABAgQIECBAgECvBLQA7ZW04xAgQIAAAQIECBAgQIAAAQIECBAg0HMBAdCekzsgAQIECBAgQIAAAQIECBAgQIAAAQK9EhAA7ZW04xAgQIAAAQIECBAgQIAAAQIECBAg0HMBAdCekzsgAQIECBAgQIAAAQIECBAgQIAAAQK9EhAA7ZW04xAgQIAAAQIECBAgQIAAAQIECBAg0HMBAdCekzsgAQIECBAgQIAAAQIECBAgQIAAAQK9EhAA7ZW04xAgQIAAAQIECBAgQIAAAQIECBAg0HMBAdCekzsgAQIECBAgQIAAAQIECBAgQIAAAQK9EhAA7ZW04xAgQIAAAQIECBAgQIAAAQIECBAg0HMBAdCekzsgAQIECBAgQIAAAQIECBAgQIAAAQK9EhAA7ZW04xAgQIAAAQIECBAgQIAAAQIECBAg0HMBAdCekzsgAQIECBAgQIAAAQIECBAgQIAAAQK9EhAA7ZW04xAgQIAAAQIECBAgQIAAAQIECBAg0HMBAdCekzsgAQIECBAgQIAAAQIECBAgQIAAAQK9EhAA7ZW04xAgQIAAAQIECBAgQIAAAQIECBAg0HOByT0/ogMSIEBgHAWmTZs2jkd3aAIECBAgQIAAAQIECBAgQKDXAlqA9lrc8QgQIECAAAECBAgQIECAAAECBAgQ6JmAAGjPqB2IAAECBAgQIECAAAECBAgQIECAAIFeCwiA9lrc8QgQIECAAAECBAgQIECAAAECBAgQ6JmAAGjPqB2IAAECBAgQIECAAAECBAgQIECAAIFeCwiA9lrc8QgQIECAAAECBAgQIECAAAECBAgQ6JmAAGjPqB2IAAECBAgQIECAAAECBAgQIECAAIFeCwiA9lrc8QgQIECAAAECBAgQIECAAAECBAgQ6JnA5J4dyYHSs88+m84999x03XXXpUcffTStvvrqab311kvbbbddmjRpEiECBAgQIECAAAECBAgQIECAAAECBDosMMesUupwmYqrIfDYY4+lPffcM91zzz3F1sUWWyw98sgjxfJmm22WDjnkkDRlypQae7bhTCCKAAA4+UlEQVS26oknnkhPPfVUa5knYK555pknLbroosWZP/nkk2nGjBkTUKH3pzxt2rTeH9QRCRAgQIAAAQIECBAgMGACp59++sDUOGIXU6dOTQ899FB64YUXBqbeKjo+AvPPP39aaKGFioNHbGzmzJmjrsgyyywz6n11gR81XXs7HnrooUXwc+ONN04//vGP049+9KN09tlnp1VXXTVdccUV6cQTT2yvQLkJECBAgAABAgQIECBAgAABAgQIEGgqIADalGjsGW6++eZ07bXXpnnnnTcddthhaeGFFy4KXW655dKxxx5bdH+fPn16ipaJEgECBAgQIECAAAECBAgQIECAAAECnRMwBmjnLOuWdPnllxfbNt988xRdsStTdIXfaKON0tVXX50iCPqOd7yjcrNlAi0L6G7eMpWMBAgQIECAAAECBAgQIECAwAQS0AK0Bxf7pptuKo4S3d9rpQiARrrhhhtqbbaOAAECBAgQIECAAAECBAgQIECAAIFRCmgBOkq4dna77777iuyLLLJIzd3y+jxBUs1MpZUnn3xyMXt8re2bbrpp2mCDDWptGop1O+20U1+dx7nnnttX9VEZAgQIECBAgAABAgQIEBhcgQUXXHBgKj9p0qSirjG5zUsvvTQw9VbR8RGYa665ygeOXtGTJ49PKHJ8jlo+9YmxkGdnz4HO6rPOs2HlfNXb8/NzzjmnPIt8Xpcfoyt9zCYv9Uag3wKyvTlrRyFAgAABAgQIECBAgACBbgjceeed3Sh26Mrcb7/9hu6cOn1CF110UaeL7Fh51cNCdqzgFgoSAG0BaSxZ4teQZ555piii3i86CyywQLH92WefHcuhhnrffn4DDzW8kyNAgAABAgQIECBAgAABAn0iIDbQJxdiAKshANrlizbnnHMWs7/PnDkz1Qtw5vVTpkxpWJsjjjgiRTm10tJLL50eeeSRWpusKwmEbQ40P/300+WgNBwC9QTivRuttp944on0wgsv1MtmPYFCwD3GC6Fdgeg6tvDCC6fHH388vfjii+3uLv8EE5h77rlTdDOMFD2G8mfHCcbgdNsQcI9pA0vW5B7jRdCuQHRhjp6sPse0Kzcx80erz/nmm684+RkzZqTnnntu1BDR+3m0SQB0tHJt7Lf44osXXdeffPLJmnvl9fmDbc1MpZV5sqRa2yNI06wLfa39Jsq6OeaYo3yq8UXTF4cyh4U6Anlcm+eff35MN+g6xVs9ZAIRMM8pAubuMVnDYz2BPPZR3GPiTyLQSCD/nxR53GMaSdmWBfJ4a+4xWcRjI4H8f1LkcY9pJGVbFpg1a1axGIEsjUWyisd6Av1yj/n3N7Z6NbV+zAIRAI2UA53VBUbwMtKiiy5avclzAgQIECBAgAABAgQIECBAgAABAgTGICAAOga8Vnddcskli6z1BjXO69daa61Wi5SPAAECBAgQIECAAAECBAgQIECAAIEWBARAW0Aaa5att966KOKSSy6ZraiYJOnSSy8t1q+33nqzbbeCAAECBAgQIECAAAECBAgQIECAAIHRCwiAjt6u5T032WSTtNJKK6XbbrstTZ8+fcR+3/72t9PDDz+cVlxxxbTxxhuP2OYJAQIECBAgQIAAAQIECBAgQIAAAQJjEzAJ0tj8Wto7JuDZfffd08EHH5xiJverr746rb766unGG28slmOQ8v322y9VTtTTUsEyESBAgAABAgQIECBAgAABAgQIECDQUEAL0IY8ndu42WabpeOOOy4tvfTS6bLLLkunnHJKEfyMlqFf+tKX0rrrrtu5gymJAAECBAgQIECAAAECBAgQIECAAIFCQAvQHr4Q1l9//XTOOecUXd7vueeeFJMjRUB0zjnFoXt4GRyKAAECBAgQIECAAAECBAgQIEBgAgkIgI7DxZ46dWqKP4kAAQIECBAgQIAAAQIECBAgQIAAge4KaHrYXV+lEyBAgAABAgQIECBAgAABAgQIECAwjgICoOOI79AECBAgQIAAAQIECBAgQIAAAQIECHRXQAC0u75KJ0CAAAECBAgQIECAAAECBAgQIEBgHAUEQMcR36EJECBAgAABAgQIECBAgAABAgQIEOiugABod32VToAAAQIECBAgQIAAAQIECBAgQIDAOAoIgI4jvkMTIECAAAECBAgQIECAAAECBAgQINBdAQHQ7voqnQABAgQIECBAgAABAgQIECBAgACBcRQQAB1HfIcmQIAAAQIECBAgQIAAAQIECBAgQKC7AgKg3fVVOgECBAgQIECAAAECBAgQIECAAAEC4yggADqO+A5NgAABAgQIECBAgAABAgQIECBAgEB3BQRAu+urdAIECBAgQIAAAQIECBAgQIAAAQIExlFAAHQc8R2aAAECBAgQIECAAAECBAgQIECAAIHuCgiAdtdX6QQIECBAgAABAgQIECBAgAABAgQIjKOAAOg44js0AQIECBAgQIAAAQIECBAgQIAAAQLdFRAA7a6v0gkQIECAAAECBAgQIECAAAECBAgQGEcBAdBxxHdoAgQIECBAgAABAgQIECBAgAABAgS6KyAA2l1fpRMgQIAAAQIECBAgQIAAAQIECBAgMI4CAqDjiO/QBAgQIECAAAECBAgQIECAAAECBAh0V0AAtLu+SidAgAABAgQIECBAgAABAgQIECBAYBwFBEDHEd+hCRAgQIAAAQIECBAgQIAAAQIECBDoroAAaHd9lU6AAAECBAgQIECAAAECBAgQIECAwDgKCICOI75DEyBAgAABAgQIECBAgAABAgQIECDQXQEB0O76Kp0AAQIECBAgQIAAAQIECBAgQIAAgXEUEAAdR3yHJkCAAAECBAgQIECAAAECBAgQIECguwICoN31VToBAgQIECBAgAABAgQIECBAgAABAuMoIAA6jvgOTYAAAQIECBAgQIAAAQIECBAgQIBAdwUEQLvrq3QCBAgQIECAAAECBAgQIECAAAECBMZRQAB0HPEdmgABAgQIECBAgAABAgQIECBAgACB7grMMauUunsIpRMYf4Hp06enfffdt6jInnvumeJPIkCAQKcEzj///HTggQcWxe29995pt91261TRyiFAgED6/ve/n77whS8UEvvvv3/aZZddqBAgQKBjAmeeeWY6+uiji/IOPvjg9I53vKNjZSuIAAECp556ajrhhBMKiMMPPzy95S1vGReUyeNyVAcl0GOBl156KT3//PPFUV988cUeH93hCBAYdgH3mGG/ws6PwPgKxGcXn2PG9xo4OoFhFqi8x8RnGokAAQKdFKj8rjSe9xhd4Dt5VZVFgAABAgQIECBAgAABAgQIECBAgEBfCQiA9tXlUBkCBAgQIECAAAECBAgQIECAAAECBDopIADaSU1lESBAgAABAgQIECBAgAABAgQIECDQVwICoH11OVSGAAECBAgQIECAAAECBAgQIECAAIFOCgiAdlJTWQQIECBAgAABAgQIECBAgAABAgQI9JXAHLNKqa9qpDIEuiDwwAMPpD/84Q9FyauvvnpaddVVu3AURRIgMFEF7rvvvnTjjTcWp7/GGmukVVZZZaJSOG8CBLogcM8996SbbrqpKHmttdZKK664YheOokgCBCaqwN/+9rf05z//uTj9tddeOy2//PITlcJ5EyDQBYE777wz/eUvfylKXmedddJyyy3XhaM0L1IAtLmRHAQIECBAgAABAgQIECBAgAABAgQIDKiALvADeuFUmwABAgQIECBAgAABAgQIECBAgACB5gICoM2N5CBAgAABAgQIECBAgAABAgQIECBAYEAFBEAH9MKpNgECBAgQIECAAAECBAgQIECAAAECzQUEQJsbyUGAAAECBAgQIECAAAECBAgQIECAwIAKTB7Qeqs2gZYFYkbDc845J911111p/vnnTzHr2FZbbWWW5pYFZSRA4JJLLkmXX355uvfee9MyyyxT3Ee23HLLYrmezrPPPpvOPffcdN1116VHH300rb766mm99dZL2223XZo0aVK93awnQGACCsQ94oILLki33npruu+++9LSSy+dNtlkk/TmN785TZ5c++O6e8wEfKE4ZQKjFLjsssvSlVdemWIm5nnmmSe94hWvSDvvvHNaaqml6pboO1RdGhsITHiBp59+Ou2zzz7F55WDDz64rsfDDz+cvv/976c77rgjPfjgg2nJJZdMK6+8cnrnO9+ZllhiiZr7dfPzjVnga5JbOSwCEXw44YQTitNZYIEF0nPPPVf8zTvvvOnII49MG2ywwbCcqvMgQKALAi+88ELaf//90zXXXFOUvuCCC6YZM2akWbNmpYUXXjgdffTRxZeI6kM/9thjac8990z33HNPsWmxxRZLjzzySLG82WabpUMOOSRNmTKlejfPCRCYgAI33XRTOuigg9JDDz2U5phjjjR16tT0z3/+s5BYa6210le+8pU099xzj5BxjxnB4QkBAnUEIpBw+OGHpwiARppvvvmK+8xTTz1V3Fe+/vWvFz/QVu/uO1S1iOcECGSB+B50wAEHFD+qrL/++unEE0/Mm0Y8RuORI444Is2cObNo/BGfbyIg+uKLL6aIx3z6059OW2+99Yh9uv35Rhf4EdyeDJPAjTfeWLwZI8gQ//H/9Kc/TRdddFHaa6+9ijdh/GLxwAMPDNMpOxcCBDoscPLJJxfBz2WXXba4j0QLrR/84Adp1113TY8//nj6+Mc/XvxHXn3YQw89tAh+brzxxunHP/5x+tGPfpTOPvvstOqqq6Yrrrii7geF6nI8J0BguAWeeOKJtPfeexfBz2gNEfeK8847L5111llpxRVXTLfcckuKAEV1co+pFvGcAIFaAmeccUYR/IwfcCMQMX369OIvluM7UvzIGy3QK5PvUJUalgkQqBSIYOZRRx1VBD8r11cvR2+WHPycNm1a+tnPflZ8h4rH9773vUU8Jhqk5cYief9uf74RAM3SHodO4Jvf/GbRSmuXXXZJ0eIqWlXMNddcRXePnXbaKT3//PPp/PPPH7rzdkIECHRGIFqMRzAiUvzHHfeR6Ioa3TU++MEPpuWXXz4988wz5dah+ag333xzuvbaa4tfNg877LCipWhsW2655dKxxx5b/AIaX0CefPLJvItHAgQmqED8oBJfJuLHko985CNp0UUXLSQi+PnhD3+4WL744ouL1hKZyD0mS3gkQKCRwD/+8Y/03e9+t8hy4IEHpte+9rVpzjnnLL4TxXL8iBt5vvCFL4woxneoERyeECDwL4EY1iuClz/5yU+Ke0kjmAsvvLD4fLPNNtukD3zgA+WeLNGjZffdd09bbLFF8T0q8uXUi883AqBZ2+NQCcSYFBGAiPT6179+tnPL66JlVnRxlQgQIFAtEC0iIui54YYbpvjPuzrFtkjRQqsyRXePSJtvvnkxzlbx5F//RFf4jTbaqBiKI4KgEgECE1cgfkCJbqbx4+xnP/vZIihRqbHpppsWAYrouRI/2ubkHpMlPBIg0EggxvCMrqarrLJKivtJddp2222LH2sjqBHdTiP5DlWt5DkBAiHw85//vOixEj1o40fbT37ykw1hrr/++mJ7/NhSK0UZkW6//fby5l58vhEALXNbGCaBCEjE2BTRQiu6rlanl7/85Sm6gkQX1rvvvrt6s+cECBAoJgaIFhPHH398zUlI8n/Ya6+99gitGM8vUv6PfcTG0pMIgEa64YYbikf/ECAwMQVuu+22FF3g4x6SW35WSkRLreixEhOnxaQlObnHZAmPBAg0EsjfcWLCkVopesfl70n5M4nvULWkrCNAIOYyiPtFDJtxzDHH1PzcUqkU44J+73vfKyZ0rFyfl/PcCIssskhelXrx+ab2tJLlKlggMJgCMeZEpMo3VPWZxLboghrjTsQvoxIBAgRaEYiZ4KO7RkyMFDM1V7eqaHb/yfel6jFvWjm2PAQIDI9AnuhotdVWK360jbHKoyXWX/7yl/Syl72s+BHlrW9962zdzNxjhuc14EwIdFNg/vnnL4qPYTbqpfgRJlIORjS7v0Re36FCQSIwsQRisqK3v/3tNRuF1JKIru75B5bq7dEDN/eEq2xI0uz+04nvUAKg1VfD86EQiJkNI+U3Sa2TWmihhYrVOW+tPNYRIEAgC9x6663pc5/7XIoAaKR11lmnGNw730tyvnxPqXf/yflzvryfRwIEJpZAjL0XKYIUMeh/dC+LFlnR8jNabl111VUpuoPFJAExc3NO+d7hHpNFPBIgUEtgpZVWKlbHuHrRtb3yPhIb4j7z0EMPFXlmzJhRPDa7v0Qmn2MKKv8QmFACiy++eMfONyaZje9TMT/C9ttvXy632f2nE/ceXeDL3BaGSSD+k48U3dzrpQUWWKDYFGNwSQQIEGgmcMcddxSDecc4npHuuuuuYgbEGG4jp5deeqkY0Due17v/5HvPs88+m3fzSIDABBTIgYdzzjkn/frXv0777rtvuuiii4pAaMywOnXq1BRjaJ1yyillHfeYMoUFAgSaCETLqmhNHuN7RpfVys8d0Qsu1uUUEz9G8h0qi3gkQKAbAmeffXaKv/ix9zOf+Ux5iJ9efb4RAO3GVVXmuAvkLh/5P/NaFcofAqJ5tkSAAIFmAm94wxvS+eefX8wM/41vfKMY+yZaZsXkJTnFf+bzzjtv8TTfY/K2/JjXT5kyJa/ySIDABBTIExtFwCEmE9hhhx2KFloxKVIMrZFnZv7hD3+YHnzwwULIPWYCvlCcMoFRCsTnjH322acINFxyySXF7M1HH3100Xtl1113Tffff396zWteU5SevzvlR9+hRoluNwIE6grED7pf+9rXintSzLOw7rrrlvP26vONAGiZ3MIwCeQm2nlcm1rnFr98Rsr/0dfKYx0BAgSyQHRNzWmNNdZIhx9+eJo0aVL61a9+VR60O7bn+0++x+R98mNe796TRTwSmJgCSyyxRHHi0Vo8JjqqTvHFII8PmiddizzuMdVSnhMgUE9gww03TP/zP/9TtASNgGeMYX7xxRenFVZYoVifG4Lk3in5/uI7VD1R6wkQaFcgfvCNoX6+9a1vpfhhJn7gfd3rXjdbMfn+k78rVWfI68fyHcoYoNWqng+FQLM3T5xk/o+91syrQ4HgJAgQ6KrAiiuuWEygFjM5x6QleRDvuP/EBEf5P+nqSrj3VIt4TmBiCuQA6DLLLFMXIMbHiuDnAw88UM7jHlOmsECAQAsC8fnku9/9btGS/O9//3uKH3HzeKD53hKTOkbyHaoFUFkIEGhZIL4PRW+5GNInxvCM3nMxj0Kt1IvPN1qA1pK3buAFllxyyeIcIgiRu5hVntTjjz9ezHYYTa1XX331yk2WCRAgUAjcdNNN6YQTTijGqalHEl1VI02e/O/fE/P9584776y5W16/1lpr1dxuJQECE0Mg3yvis8qLL75Y86Rj7L5Iq6yySnl73i/fS8ob/rWQ17vHVMt4TmBiCuTvQksttVRab731ysHPmPgofsSN3iyveMUrCpx8f/EdamK+Vpw1gU4KRKOPj33sY0XwM8YjPumkk+oGP+O4+f6TP8dU1yWvH8vnGwHQalXPh0Jg2WWXTS9/+ctT/Md+zTXXzHZOl112WfFlI/LkX0Bny2QFAQITWiAmSDv33HPTWWedlV544YXZLOKHlJgYKVK0pshp6623LhZjvK3qFAN8X3rppcXq+BIiESAwcQVe+cpXFh/2Z86cOWIYjSwSrSai9WcEJyo/7LvHZCGPBAg0Enj00UfTtttum974xjcWEyFV542u8DHW56te9ary+OW+Q1UreU6AwGgEYpLY/fffv/iutOaaaxbBz+WXX75hUb34fCMA2vAS2DjIAu9617uK6p9++ukjuqL+4x//KLqBxMadd955kE9R3QkQ6KJAdM+ILqoR6IxfLCN4mVNMZBSzNMdj5KtsSb7JJpuklVZaqWhVMX369LxL8fjtb387Pfzwwym6z2+88cYjtnlCgMDEEogW5O9+97uLk/785z9f3BuyQLQI/epXv5qeeuqp4l4xzzzz5E3JPaZMYYEAgQYCMcxXBDTzD7qVWWPontNOO61YNW3atMpNyXeoERyeECAwCoEYb/jGG28shtU45phj0sILL9y0lF58vpmjFJmd1bQmMhAYQIH48rDHHnukW265pfjPf8sttyxacUWrrAhA/Od//mcxC2J0g5cIECBQSyD+446uG3E/mTp1atGSIu4Zv/zlL9O9995b/Gd+6qmnpuox/K644op08MEHF/vFvScCpFHW1VdfnSLocfzxx4+Y+bDWsa0jQGD4BeJHlJil+Q9/+ENaZJFFis8mcT+56qqr0s0335xWXXXVIhCaJyjJIu4xWcIjAQKNBH7/+9+nvffeu/gRN1qdR4AhupHG55FofR6zwX/wgx8cUYTvUCM4PCFAoIZAfA6JsT3XX3/9dOKJJ47IEZ9tdtxxx3IjtOjJUi/FZI/5x5jI0+3PNwKg9a6E9UMhEG++4447rpjtMI9/E2/AeEN+6EMfSpUtKobihJ0EAQIdF7j11lvTscceWwQjcuFxH4luGh/96EdTvYnUYrDvI444YsTkJdEyNL6IbLDBBrkojwQITHCBCDZ84xvfSOedd14xdE9wxMzwcZ/4xCc+UZ6UpJrJPaZaxHMCBGoJXHnllUWAImaBzynG2nv/+9+f3vzmN+dVIx59hxrB4QkBAlUCjQKgf/7zn9Puu+9etUftp/FD7xlnnDFiYzc/3wiAjqD2ZFgFYvy+GKsvGjzH2BPzzz//sJ6q8yJAoEsCMZbW3XffXdw/VlhhhTRlypSWjhQtzmMygfiyEbOsanXeEptMBCacQHxGue+++4pu79FqvNV7hXvMhHupOGECbQvEMD4x4/uDDz5YDO8TLc0btcrKB/AdKkt4JECg1wLd+HwjANrrq+h4BAgQIECAAAECBAgQIECAAAECBAj0TMDghz2jdiACBAgQIECAAAECBAgQIECAAAECBHotIADaa3HHI0CAAAECBAgQIECAAAECBAgQIECgZwICoD2jdiACBAgQIECAAAECBAgQIECAAAECBHotIADaa3HHI0CAAAECBAgQIECAAAECBAgQIECgZwICoD2jdiACBAgQIECAAAECBAgQIECAAAECBHotIADaa3HHI0CAAAECBAgQIECAAAECBAgQIECgZwICoD2jdiACBAgQIECAAAECBAgQIECAAAECBHotIADaa3HHI0CAAAECBAgQIECAAAECBAgQIECgZwICoD2jdiACBAgQIECAAAECBAgQIECAAAECBHotIADaa3HHI0CAAAECBAgQIECAAAECBAgQIECgZwKTe3YkByJAgAABAgQI9FDg73//e/rjH/+Ynn/++bTSSisVfwsuuGAPa+BQBIZP4NFHH01/+9vf0t13353mn3/+tOqqq6YVVlghTZo0aeBP9oUXXkj33HNPuuuuu1KcZ5zXaqutlhZeeOGBPzcnQIAAAQIEJrqAFqAT/RXg/AkQIECgKwJvf/vb0xxzzDGqv8997nMj6vSLX/yiXM4qq6ySZsyYMWJ7vSf/+7//W97v4osvLrLdeOON5XXrrbdevV3rro+AYj6vXXfdtZyvso4HHXRQeX1euP7668v75f1rPc4999xpiSWWSC9/+ctTlP/9738/F9HS4w9+8IP0ute9Li255JJp2WWXTW94wxvSDjvskNZdd920yCKLpDe/+c3pZz/7WZo1a1bD8irPZ6zm+UA//OEPRxjMO++86Yknnsibmz7+/ve/H7H/G9/4xtn26dfXXVR0/fXXH1H/Wte/0bpXvvKVs53vWFZUXuNar9l4zVTW5zOf+Uxbh3vLW94yYv9rr712xP6//vWvR2yvPFYszznnnCneD/G6fcUrXpH23nvvdMMNN4woo9mTP/3pTyOO8Zvf/KbZLjW3P/PMM+nMM89Mm222WVpsscXSBhtskN761rcW77V4f0QgdM899yyCh7UK+NGPfjSiHtXn2srzc889t1bRHVl30003pU984hNpqaWWSnE+W265ZXrb296WXv3qVxf+66yzTnEveumll+oer/J6P/TQQ3XzVW9YYIEFCptXvepV1ZtSN+6b3SgzKu7eM9vls4IAAQIE+kxAALTPLojqECBAgACBRgJ//etf03777dcoS8Nt8UX+P/7jP4o8EcyMAEk76Zvf/GY5+3//93+Xlzu18Nxzz6V//vOf6dZbb01nnXVWeuc735m22WabNHPmzIaHePzxx9N73/vetNNOO6VLLrkk1QpARPDixz/+cdpuu+2KwM0jjzzSsMy8cazmuZzqxwgqXXDBBdWr6z4/++yz627r9oZuGXS73p0s/5xzzmm5uMceeyxddNFFLeevlTGC9PF+iNf2Lbfcko4//vgUQbIIPL744ou1dpltXfwIUplOOumkyqctLf/5z38uAoHve9/70q9+9aua+zz77LPp61//etFa8uSTT66Zpx9Xxj3hC1/4QvEDyQknnJDq3RPiPhn3oo022ig9/PDDHT2VZj/GtHKw0d43G5XdjTIbHa/eNveeejLWEyBAgEC7ArrAtysmPwECBAgQaFPg05/+dFpooYVa3uu1r31tw7wRxIhA31ZbbdUwX72Nu+22W/rtb39bbP72t7+dvvjFL9bLOmJ9dA+N/JHWWGONtPnmm4/Y3uqTCEDuvvvuNbNHoDO61l511VVFsDIyRUu9aF12+umn19znD3/4Q9HKM7quRpo6dWraa6+90oYbblgEjOaaa6505513pgsvvDBFcCaCHFFmtO6KIFWcS7M0VvN65UdQbZdddqm3ubw+giTf+973ys9bWei3191HP/rR9OCDD9as+lFHHVW0ho2uxvUC/IsvvnjNfXu18vbbby9a5EVL1mYpWvtGAKnVFO/5eF9Upxi+4amnnkrR+jdes5GiNeU+++yTjjvuuOrsI57H8eNHhEjR2jveJ/EaOvbYY4tWnCMy13kSPybsuOOO5Vbna6+9dvrkJz9ZtOaNYSWiNfpf/vKXdMopp6R4Lccx99hjj6JFaOXreq211kqHH354zaPEvej8888vtsWx4n1ZK3W6BXAEkaPV5k9+8pPicNHa9v3vf396xzveUbQCXXTRRYuu8FdccUU6+uiji9atv/vd79LrX//6dOmll7Z1T691Pu2u6/R9M47fjTKjXPeeUJAIECBAoO8ESh+oJQIECBAgQKDDAqXuk9HHuvi7//77x1R6KQhRLiuXWQo+zHryyScblvuNb3yjvF+p23c5b6lF2az55puv2FYa425WqRVUeVujhVIAsVzekUceOSJrZR0PPPDAEdviSSmAU963FMycbXutFaWAz6xS8LLYr9QdeNYdd9wxW7ZSUHZWKSBVLrsUvJhVCrLNli+viHMvBTDK+WPfUtAmby4/Vp5PJ8yj4FL3/PJxV1555WK5FHSZFXVqlq688soif6nb/KzJkycXy6Xu/bPt1s+vu9kqW7FiueWWK85p+eWXr1jb3cXKa1zrNVtqLV3Uaemll541zzzzFMv7779/S5UqDcNQ5C/98FE8xmvommuuGbFvqTVledu+++47YlutJ6XW17NK3aXL+5QCh7Wyldfl11upe/msUnf78n5f/vKXy3kaLfzjH/+YVeoSXt6vFARseK8477zzZpXGAS3yx2u01Iq7UfHlbaeeemr5GHHP6lX6/Oc/Xz7ummuuOas07mfdQz/99NOzXvOa15Tzl1qbz5a3NNRGeXvYtZryvbg05MJsu3TjvtmNMqPi7j2zXT4rCBAgQKDPBHSBL30ilQgQIECAwKAIxPiYkf5WmoSkFDQZVbWjNerOO+9c7ButLet1a60u/IwzzihWRYvKaCnV7RQtXKPVYKToqppbalUeN1p0xph2kd7znvcULdxi/M96Kc49d4OPPLHvYYcdVi97sb4T5tUHiFZmkaLrcCvd4HP39xjDNPx7nbph0OtzGO3xYuKsPN5qK93gS8GvooVgHC9aNHYqxRAP0Xo7pxhDtFEqBROLzdH68z//8z+LcTtjRbxnSt9HGu1abIuWnLnFbrTejPtNjNVZL0XX/PxeitbizVqo1iunF+ujNeyhhx5aHKoUdE+//OUviwmP6h07xuuN92kpGF5k+e53v1t3vNN6ZfRqfSv3zXbr0o0yW63DRL73tGokHwECBAi0JiAA2pqTXAQIECBAoC8EomthzEwcKQIZpVZso6pXZSAld5NtVFB0G48u5JHe9KY3FZOFNMrfqW2bbLJJuaiYmbkyxVihpZZ7xaqYSCS6qbaSSq3TCruYuCVSBGoajTHaKfPKusUEO9EtOFKziZ4i+JsDb+9617sqi+nZcjcMelb5Dhwoxn+MVGqFXHRHb1RkTNYT3atjvM6YvKiTafvtty8Xd/XVV5eXqxfuu+++YrKvWJ+71ucu6dFlPbpwN0qxf6lFZ5Elurq3+mPLxz72sRRdxyNNnz49xTi3/ZhiSIsI0kY6+OCDW7qfxXnF+UWK92Tutl+s6LN/Gt03R1vVbpTZSl0m+r2nFSN5CBAgQKA1AQHQ1pzkIkCAAAECfSEQLRhzy65oxRUTEZW6wrddtxhzMI99GQGbaInYKEULxDymYTcmP6p37Jtvvrm8KWZorkwxHumjjz5arDrggAOKWd8rtzdajiBytKiLFH61Wpfm/TtlnsvLjzmodvHFFxcT3eT11Y+XX355euCBB1KMjxmz2o9H6pbBeJzLaI4ZQf8cMG8WsM6tdf/rv/5rNIdquE/MUJ7TE088kRdne4wZ2/NESdEyM1IEz0td1IvlmLCoUYpziCBfpA9/+MMttzoOo2hhHRMnRSv10tABjQ4zLtviPpZ/UIjWve20Zo+xiOP9GpNc5WDouJxEk4M2um822bXu5m6UWfdgFRsm+r2ngsIiAQIECIxRQAB0jIB2J0CAAAECvRaIWdE/9KEPFYeNVpExIcpo0gc+8IFitwgi/vSnP21YRJ79PbqLxiQgvUilcfdSBGdziq68lSlmis9p6623zostP+bAUOwQk9Y0Sp0yrzxGDoA26wafA2rRnTomahmv1A2D8TqXdo9bGqexaPkc++XgWa0y7r333pS7pncjAPrHP/6xfNhGkwLl2d9f/vKXFzOXx07RfTu3Bo2JlP7+97+Xy6peqLwfRGvldtKmm26aSmNqtrNLT/OWxmItz/YerbCjRXiraZFFFkml8V1TtDjv19TsvjmaenejzHbqMZHvPe04yUuAAAECjQUEQBv72EqAAAECBMYsEF21Y1zAVv6iZVEr6ZhjjkkrrrhikTVmYP75z3/eym4j8rzvfe8rf/lv1A3+lltuSddee22xb7SWyq3IRhTW4Sd/+tOf0sYbb5xuuummouQIqsSX4MpUGQCtbBlXmafRcpSZU8zw3Sx1wrzyGBGcysGleq0KYxbw0mQ2xW7tdn/v19ddpcEgLeeA9Z133pliNvBaKa5jtMz+f//v/6XoOt7JFN3JDzrooHKRlV2SyytLCzFreX49V7dunDZtWpE1un+XJh+q3G3EcgRyc+p0N/5c7ng9DvO5tXLfbNd9NGW697SrLD8BAgQI9EKg9Z88e1EbxyBAgAABAkMokINcrZxadHGubH1Vb5/ouhld4aM1Uu4Kf+ONN6boLthqihZhMblLTO4RXcAj+BotnKpTbv1Zmok95Vaj1XnaeR7Hi3EIq1Ocx4wZM1IEKGIMwpyiu3qca/UELLmMaI2VJ8rI+7TyGPtFy75o3XT//fc33aUT5tUHiaDaDTfcUHSrLc0GX3Rzr8wTge0YfzUmdmq3lWu/vu4qz2+QluO9Ga+BGDIhWoFuuOGGs1U/t9ZtN1gd3c1zl/XKQuM1Ee+H+AHiqKOOKgc2Y1Kj0qzblVnLy7n1Z/xQseuuu5bXx0JMojV16tT08MMPFwHQz372szV/0Mjvv+jSnsccHlHQAD+pfK/ncXgH4XQ6dd+sPNdulBnlu/dUKlsmQIAAgX4R0AK0X66EehAgQIAAgTYFIiCWu8LHbO6f+tSn2iwhFWOIxk7RDbuyu3kuKAIzuXVotMDsRKu2COjE5E3Vf7/4xS9SdE/NwZcINn3wgx9MEdiN1pKVKSYtyi25ckvYyu2tLueAb7RYaiV1wrzyOHk2+BiXMLolV6ccUNt5551rBqqq8/fieacNelHnThwjxrN8y1veUhRVqxt8TJD029/+trhO+bq2etwvf/nLRWvs6I5d+RfByphMaffddy8HP5dZZpliEq/qHwTiWDk4G8vx48iyyy4bi+U0ZcqU9O53v7t4Hu+fGK+zOkUg9qmnnipWxw8LtY5Tvc8gPa9sZV89rnA/n0cn7pvV59eNMquP0cnnE/Xe00lDZREgQGAiC2gBOpGvvnMnQIAAgZ4IHH/88TVbVtY6+HLLLVdrdd110S37oosuKiYcOe2009JOO+3U1hid0aotAioxHmBMKlQ9wVEEKXNAsnpb3Uo12RDd1ddff/0iV7T6jGBLBI9yt91odXbGGWekGKOz3vh8EciJFm4RrGk0GUyjqkT38gcffLDIEoGmVtNYzSuPs9pqqxUtCaNLdQTV8sRMkSe6POeZptttURj79/PrLuo3iCla7MYPArkbfGUr0O9973vFKW255ZYtzSre7vnH+K977713ilab9cagjDpEi+ZIMcRFrRTd4r/yla8Um2IypBzUzXnjfbXYYosVLY/vueee4nXYj5MZ5fq2+xitqXPKrcjz835+7MR9s/r8ulFmHMO9p1racwIECBDoBwEB0H64CupAgAABAkMtEK3BIsjYjRSBkOgeHq0zI5gYLcWixWTMGN5KigBjBEqOPPLI9Mtf/jJFwCMmOsopd3+PlmDVgZKcp93HmIjla1/72ojdou7nnXde0WU3AqIRbI2WZ29/+9tH5MtPIkgTptGCKf4i6BPd2dtJMUt17nb8spe9rOVdx2pefaAIqkUANM8Gn69dDIUQLfqiC3LleKXV+9d73s+vu3p17vf12267bfFjRrQijPE+KwOgubXuaILVm222Wdp+++1nO/0IREYL52h5Ha+DZpNgxb0gp2hR/LOf/Sw/HfEYPyBEq+N4zUUwt3oM3RgeI4ZeiPdHzOhePQHZiMIG7EmcW055jOH8fCyPYZpT/LjSSooW9tH6PlLl/rX27cR9s7rcbpQZx3DvqZb2nAABAgT6QUAX+H64CupAgAABAgTGILDVVlulD3/4w0UJEcD85Cc/2VZpeVzPCEJ+5zvfKe8bLSsjKBkpxhJs9gW9vOMoFiLYGWMaxlik0dosxj7cZZddii7x9YpbffXVi01R79tuu61etrrrc4vTyLDyyivXzVdrw1jNK8vM3aWru8HngFrMJt6P3ZA7aVDp0c/L8R7YcccdiypWdoOPQFr88BDb643N2ei8YsKv/fbbb7a/+CEgurLHa71Z8PPmm29Ov/nNb8qHiddPtKSu9RevtUjx3jn55JPL++SFyiEnotx2UrQYD48oux/TWM4tzufqq6+u2ep80UUXLZ9uq63SY2K8/CNMHo6jXEgLC6O5bzYrthtlNjtmu9sn4r2nXSP5CRAgQGB2AQHQ2U2sIUCAAAECAydw9NFHl4N4MQlKdItvNUVwJVqgRYpu8DlFC7cYazNSp7q/57LrPW6xxRbp2GOPLTZHF/AINuUu+NX7RHf/nFqZOCrnzY+5e3k8H03QaizmuQ7xGC388ozeeTb4mAwqj88YAdB+TZ0y6Nfzq1WvPBv8X//613TdddcVWXL392hRN5pAVq3jtLvu9NNPL++yww47pPe85z0N/+aaa64if9wvcivEXMCb3vSmvFgEM8tPWliIISJe+cpXFsMAjOZ92cIhxpRlnXXWKd5zUUgMvRH3mVbTQw89VNwro2VuXOvKVBkAjUmmWkkx9EhOY3ndtHPfzMdr9tiNMpsds53tE/He046PvAQIECAwu4AA6Owm1hAgQIAAgYETyN2yc0vB6ApfOdlHsxPKAc5oxZa7hebJj2LG6V7OlrzHHnukGJs0UgQIItAZXUWrU7SczGOEHnHEES3N5J7LiPPM3YUXWmihFAGjdtNYzSuPl4NqMet7tH698MILi+DzmmuuWR4vtTJ/vyx30qBfzqlZPWIiljxmbG4FmgOgo+n+3ux4rWyPLtdnnnlmkTXGEY6W2/H+bfSXX/MxAVj1BGgRAJ1zzv/7mhDnlluMNqtLtGbMLZejFeRGG23UbJdx2Z7PPe4rlT/6NKtMWLzwwgtFq8211157RPbcIj1WXnvttSO21Xtyyy23lDdVtkwtr2xjodX7ZhtFpm6U2c7xG+WdiPeeRh62ESBAgEBzAQHQ5kZyECBAgACBgRCIyVf23HPPoq4xLuYXv/jFlusdQcY89uQPfvCDYnKgX/3qV8X+OTjacmEdyHjKKaekCExGim69edKWyqIXX3zxtNdeexWrosVkTBDTSrfbCNJ84hOfKHc9/ehHP1p0u68su9XlsZhXHiNmeY/gdQSaIviZW4KOV0Ctsm7Nljtl0Ow4/bI9gu55bNp4r/zhD39IMZlOTN6VA2u9rmsMHRHdqSPFLO85eNmoHnnoi8gTkyFVphjzN0+iFK0kv/SlL1Vurrt80EEHlScWC6N4j/ZjivtGHtIjJpWK8U6bpRhe5NBDDy1n+9CHPlRejoUIjOcU969WfoDKrd1jv8033zzvPurHVu6b7RbejTLbrUO9/BPt3lPPwXoCBAgQaE1AALQ1J7kIECBAgMBACBx11FHlrvDRsiunZoHBeeedN+Vg2w9/+MMUf9E6KoKQeYzKXFYvHmNSojiXnA488MB011135aflx8MOOyytscYaxfMIGr7xjW9MDzzwQHl79UJ0W37ta1+bLr300mLTBhtskD73uc9VZ2vr+WjNKw8SrfZe85rXFKuiJV8ewiBfk8q8/bjcCYN+PK96dcotdiM4eMghhxTZIvjZ7kRc9cpvd310Y88pxuttJb3+9a9P8bqLdOWVVxZjmFbuFxOj5R9F4v0XzxulGEs0/+gS95MY07Rf02qrrVYeK/nBBx8s3nsxKVq9FC3R3/rWt44IMuf7Tt4nxhHOk2LFxFExfEe9lrNxbz3uuOOKyc9i/9g37ktjTa3eN9s5TjfKbOf4zfJOtHtPMw/bCRAgQKC+gFng69vYQoAAAQIEOiJw4oknpgUXXLDlsqIl4AEHHNBy/sqM0QotgiExSUSzoGflfrG82267pZNOOin98Y9/TCeccEKxOQJw4xXUiRZW0YU3gjPRwjO6Y1aPKRiBlmiFFzNo33333UXgcN11100f+chHimDE+uuvn6J78PXXX1+M1/jVr361PIFJzKodkz7lsRCrPVp9PhbzymNEoDla3UY3+EgRnK0OslTmb7Y8KK+7ZufRj9ujtd5SSy1VtHa84IILiiqOV7A6gnPTp08v6vCqV70qxRiXraRJkyYVrTxj+IhI8d7/2te+Vt51ySWXLIaJiPOK91Dck+JHhmgxHWPWRmDs/vvvL4bMiJaMV111VbFvtD6N91XUpZ9TBHXj3hLvueiKHuOWRvA4zje6s0dL31tvvbV4P375y19OTz31VHE6m266aXn4jOrzi5a0YRMBzssvv7wwiJaheRiRaJl/5513Fve13/72t+Xd437bbJKrcuYmC63cN5sUMdvmdst075mN0AoCBAgQ6AeB0pcjiQABAgQIEOiwQGlSnZgCeVR/pQDCiNpccskl5XJK3RFHbKv3pBSkKO8T9Si1KKyXdcT6UvBwxH6lL+kjttd7UlnHUmBhtmy///3vy+WWuunPtr3eitIM1LNKXVXL+5bG66uZtdSKa1YpyFDO18y+NIHJrFIL2ZplxcrK8+mUeSlQW65frfMoBbJmxbXPdS9NJlOzfqWgb5GnNE7qbNsH9XVXaolYnNPyyy8/2zl1a0XlNa71mi0FEos6lYJhNasQr+N8rUoT4MwqTSQ0W75S67RynmuuuWbE9lLgrbxt3333HbGtnSeVxyh1VW9n11m33377rNIPLkU9Sq29Zz355JOz7V8KyM8q/YBTrms+51qPke+0006brYxGK0499dRy2aVxeRtl7fi20iRvs0otO8vHr3VOletKrTQb3jeigqUxUGeVfhRpqcxS0HPWt771rbrn1Y37ZjfKjBNw76l7GW0gQIAAgT4R0AW+9KlGIkCAAAECwyYQ3VVXWWWVtk+rcrzP9dZbL7361a9uu4xO7hCTL1W2ho2xO2vNsByt1aIlV7QQja69eTKoyrpES8+Y7T1ay0W+PJFNZZ6xLI/WPB9z6aWXLo8DGPXP3azz9kF4HKvBIJxjrmPl9YnxLvOYknl7rx5z9/do0Rnjf7aTVl111WJW89gnJi2qNSHQNttsU8yWHsNNRKvPWilaQX/84x8v8kVL8kFJ88wzTzFhVLS6jiEMao2dGu/FaEkeY/NeccUVTe8b8br43e9+l6LVZMwWXyuFV0xUd91116VddtmlVpYxrWv1vtnOQbpRZjvHb5Z3It17mlnYToAAAQK1BeaIQGztTdYSIECAAAECBAZTILqrxnifMa5fBDVWXHHFtNJKKxUT1QzmGak1gfEXiK8NMWZmTAgU3bljjNAYpiHGEq31o8P417i9Gjz99NPlc4uAcPyIFN3hRzsMSAwdEOPExrjEMSZzqaVwYRX3oxi+QyJAgAABAgR6JyAA2jtrRyJAgAABAgQIECBAgAABAgQIECBAoMcCusD3GNzhCBAgQIAAAQIECBAgQIAAAQIECBDonYBZ4Htn7UgECBAgQIAAAQJjEChNNJTGOnpTzLY9DN21x8A4kLu69gN52VSaAAECBAj0jYAu8H1zKVSEAAECBAgQIECgkUCMORljM44l3XbbbWm11VYbSxH2HQcB134c0B2SAAECBAgMkYAWoEN0MZ0KAQIECBAgQGCYBWIm6hkzZozpFMdrtvYxVdrOybX3IiBAgAABAgTGIqAF6Fj07EuAAAECBAgQIECAAAECBAgQIECAQF8LmASpry+PyhEgQIAAAQIECBAgQIAAAQIECBAgMBYBAdCx6NmXAAECBAgQIECAAAECBAgQIECAAIG+FhAA7evLo3IECBAgQIAAAQIECBAgQIAAAQIECIxFQAB0LHr2JUCAAAECBAgQIECAAAECBAgQIECgrwUEQPv68qgcAQIECBAgQIAAAQIECBAgQIAAAQJjERAAHYuefQkQIECAAAECBAgQIECAAAECBAgQ6GsBAdC+vjwqR4AAAQIECBAgQIAAAQIECBAgQIDAWAQEQMeiZ18CBAgQIECAAAECBAgQIECAAAECBPpaQAC0ry+PyhEgQIAAAQIECBAgQIAAAQIECBAgMBYBAdCx6NmXAAECBAgQIECAAAECBAgQIECAAIG+FhAA7evLo3IECBAgQIAAAQIECBAgQIAAAQIECIxFQAB0LHr2JUCAAAECBAgQIECAAAECBAgQIECgrwUEQPv68qgcAQIECBAgQIAAAQIECBAgQIAAAQJjEfj/DA1nokIOpjQAAAAASUVORK5CYII=" alt="Histogram of ENVIRONMENT_IMPACT_CURRENT" width="672" />
-<p class="caption">
-Figure 2.6: Histogram of ENVIRONMENT_IMPACT_CURRENT
-</p>
-</div>
-<p>So what is the relationship between ENVIRONMENT_IMPACT_CURRENT and CO2_EMISSIONS_CURRENT? It is not linear… (Figure <a href="#fig:checkEmissionsImpact">2.7</a>) and there are some interesting outliers.</p>
-<pre class="r"><code>ggplot2::ggplot(allEPCs_DT, aes(x = CO2_EMISSIONS_CURRENT,
- y = ENVIRONMENT_IMPACT_CURRENT,
- colour = TENURE)) +
- geom_point() +
- facet_wrap(TENURE~.) +
- theme(legend.position = "bottom")</code></pre>
-<div class="figure"><span id="fig:checkEmissionsImpact"></span>
-<img 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" alt="PLot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT" width="672" />
-<p class="caption">
-Figure 2.7: PLot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT
-</p>
-</div>
-</div>
-<div id="check-total_floor_area" class="section level2">
-<h2><span class="header-section-number">2.5</span> Check TOTAL_FLOOR_AREA</h2>
-<p>Repeat the coding for total floor area using 5 m2 as the threshold of interest.</p>
-<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = TOTAL_FLOOR_AREA)) +
- geom_histogram(binwidth = 1)</code></pre>
-<div class="figure"><span id="fig:checkFloorArea"></span>
-<img 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" alt="Histogram of TOTAL_FLOOR_AREA" width="672" />
-<p class="caption">
-Figure 2.8: Histogram of TOTAL_FLOOR_AREA
-</p>
-</div>
-<pre class="r"><code>nZeroFloorArea <- nrow(sotonUniqueEPCsDT[TOTAL_FLOOR_AREA < 0])
-
-sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA == 0, "0 m2", NA)]
-sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 0 &
- TOTAL_FLOOR_AREA <= 10, "0-5 m2", floorFlag)]
-sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 10, "5+ m2", floorFlag)]
-
-t <- with(sotonUniqueEPCsDT, table(floorFlag, consFlag))
-
-kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")</code></pre>
-<table>
-<caption>
-<span id="tab:checkFloorArea">Table 2.7: </span>% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-</th>
-<th style="text-align:right;">
--ve kWh/y
-</th>
-<th style="text-align:right;">
-0 kWh/y
-</th>
-<th style="text-align:right;">
-1+ kWh/y
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-0 m2
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0.10
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-5 m2
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0.02
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-5+ m2
-</td>
-<td style="text-align:right;">
-0.03
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-99.85
-</td>
-</tr>
-</tbody>
-</table>
-<pre class="r"><code>kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
- ENERGY_CONSUMPTION_CURRENT)][order(-TOTAL_FLOOR_AREA)], 10),
- caption = "Top 10 by floor area (largest)")</code></pre>
-<table>
-<caption>
-<span id="tab:checkFloorArea">Table 2.7: </span>Top 10 by floor area (largest)
-</caption>
-<thead>
-<tr>
-<th style="text-align:right;">
-BUILDING_REFERENCE_NUMBER
-</th>
-<th style="text-align:left;">
-PROPERTY_TYPE
-</th>
-<th style="text-align:right;">
-TOTAL_FLOOR_AREA
-</th>
-<th style="text-align:right;">
-ENERGY_CONSUMPTION_CURRENT
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:right;">
-4.697565e-314
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-1353.680
-</td>
-<td style="text-align:right;">
-140
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-1.894551e-314
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-1123.000
-</td>
-<td style="text-align:right;">
-120
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-4.846111e-314
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-973.210
-</td>
-<td style="text-align:right;">
-522
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-2.559778e-314
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-861.360
-</td>
-<td style="text-align:right;">
-279
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-8.172097e-315
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-855.000
-</td>
-<td style="text-align:right;">
-170
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-4.440838e-315
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-846.421
-</td>
-<td style="text-align:right;">
-161
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-1.933817e-314
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-833.000
-</td>
-<td style="text-align:right;">
-206
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-4.076249e-314
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-800.000
-</td>
-<td style="text-align:right;">
-185
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-1.280057e-314
-</td>
-<td style="text-align:left;">
-House
-</td>
-<td style="text-align:right;">
-714.000
-</td>
-<td style="text-align:right;">
-224
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-2.444460e-314
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-694.000
-</td>
-<td style="text-align:right;">
-88
-</td>
-</tr>
-</tbody>
-</table>
-<pre class="r"><code>kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
- ENERGY_CONSUMPTION_CURRENT)][order(TOTAL_FLOOR_AREA)], 10),
- caption = "Bottom 10 by floor area (smallest)")</code></pre>
-<table>
-<caption>
-<span id="tab:checkFloorArea">Table 2.7: </span>Bottom 10 by floor area (smallest)
-</caption>
-<thead>
-<tr>
-<th style="text-align:right;">
-BUILDING_REFERENCE_NUMBER
-</th>
-<th style="text-align:left;">
-PROPERTY_TYPE
-</th>
-<th style="text-align:right;">
-TOTAL_FLOOR_AREA
-</th>
-<th style="text-align:right;">
-ENERGY_CONSUMPTION_CURRENT
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:right;">
-9.111592e-316
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-104
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-3.102124e-315
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-58
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-3.294384e-315
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-110
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-3.695003e-315
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-70
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-4.369619e-315
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-119
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-4.371685e-315
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-71
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-7.302298e-315
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-115
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-9.515727e-315
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-144
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-9.562249e-315
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-103
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-1.059979e-314
-</td>
-<td style="text-align:left;">
-Flat
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-117
-</td>
-</tr>
-</tbody>
-</table>
-<pre class="r"><code>kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")</code></pre>
-<table>
-<caption>
-<span id="tab:checkFloorArea">Table 2.7: </span>% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-</th>
-<th style="text-align:right;">
--ve kWh/y
-</th>
-<th style="text-align:right;">
-0 kWh/y
-</th>
-<th style="text-align:right;">
-1+ kWh/y
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-0 m2
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0.10
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-0-5 m2
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-0.02
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-5+ m2
-</td>
-<td style="text-align:right;">
-0.03
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-99.85
-</td>
-</tr>
-</tbody>
-</table>
-<p><a href="#tab:checkEmissions">2.6</a> shows that the properties with floor area of < 10m2 are not necessarily the ones with 0 or negative kWh values. Nevertheless they represent a small proportion of all properties.</p>
-<p>The scale of the x axis also suggests a few very large properties.</p>
-</div>
-<div id="data-summary" class="section level2">
-<h2><span class="header-section-number">2.6</span> Data summary</h2>
-<p>We have identified some issues with a small number of the properties in the EPC dataset. These are not unexpected given that much of the estimates rely on partial or presumed data. Data entry errors are also quite likely. As a result we exclude:</p>
-<ul>
-<li>any property where ENERGY_CONSUMPTION_CURRENT <= 0</li>
-<li>any property where TOTAL_FLOOR_AREA <= 5</li>
-<li>any property where CO2_EMISSIONS_CURRENT <= 0</li>
-</ul>
-<pre class="r"><code>finalDT <- sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT > 0 &
- TOTAL_FLOOR_AREA > 5 &
- CO2_EMISSIONS_CURRENT > 0]
-
-skimr::skim(finalDT)</code></pre>
-<pre><code>## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling back
-## to `character`.</code></pre>
-<table style="width: auto;" class="table table-condensed">
-<caption>
-<span id="tab:finalData">Table 2.8: </span>Data summary
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-</th>
-<th style="text-align:left;">
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-Name
-</td>
-<td style="text-align:left;">
-finalDT
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Number of rows
-</td>
-<td style="text-align:left;">
-71501
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Number of columns
-</td>
-<td style="text-align:left;">
-23
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-_______________________
-</td>
-<td style="text-align:left;">
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Column type frequency:
-</td>
-<td style="text-align:left;">
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-character
-</td>
-<td style="text-align:left;">
-12
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Date
-</td>
-<td style="text-align:left;">
-1
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-numeric
-</td>
-<td style="text-align:left;">
-10
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-________________________
-</td>
-<td style="text-align:left;">
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Group variables
-</td>
-<td style="text-align:left;">
-None
-</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: character</strong></p>
-<table>
-<thead>
-<tr>
-<th style="text-align:left;">
-skim_variable
-</th>
-<th style="text-align:right;">
-n_missing
-</th>
-<th style="text-align:right;">
-complete_rate
-</th>
-<th style="text-align:right;">
-min
-</th>
-<th style="text-align:right;">
-max
-</th>
-<th style="text-align:right;">
-empty
-</th>
-<th style="text-align:right;">
-n_unique
-</th>
-<th style="text-align:right;">
-whitespace
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-BUILDING_REFERENCE_NUMBER
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-17
-</td>
-<td style="text-align:right;">
-21
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-71501
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-LMK_KEY
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-29
-</td>
-<td style="text-align:right;">
-34
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-71501
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-PROPERTY_TYPE
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-4
-</td>
-<td style="text-align:right;">
-10
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-5
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-BUILT_FORM
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-8
-</td>
-<td style="text-align:right;">
-20
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-7
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-TENURE
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-16
-</td>
-<td style="text-align:right;">
-1906
-</td>
-<td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-POSTCODE
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-8
-</td>
-<td style="text-align:right;">
-8
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-5105
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-LOCAL_AUTHORITY_LABEL
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-11
-</td>
-<td style="text-align:right;">
-11
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-hasWind
-</td>
-<td style="text-align:right;">
-5547
-</td>
-<td style="text-align:right;">
-0.92
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-3
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-hasPV
-</td>
-<td style="text-align:right;">
-38499
-</td>
-<td style="text-align:right;">
-0.46
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-3
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-consFlag
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-8
-</td>
-<td style="text-align:right;">
-8
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-emissionsFlag
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-9
-</td>
-<td style="text-align:right;">
-10
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-floorFlag
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-5
-</td>
-<td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-0
-</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: Date</strong></p>
-<table>
-<thead>
-<tr>
-<th style="text-align:left;">
-skim_variable
-</th>
-<th style="text-align:right;">
-n_missing
-</th>
-<th style="text-align:right;">
-complete_rate
-</th>
-<th style="text-align:left;">
-min
-</th>
-<th style="text-align:left;">
-max
-</th>
-<th style="text-align:left;">
-median
-</th>
-<th style="text-align:right;">
-n_unique
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-LODGEMENT_DATE
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-2008-10-01
-</td>
-<td style="text-align:left;">
-2020-06-30
-</td>
-<td style="text-align:left;">
-2014-10-22
-</td>
-<td style="text-align:right;">
-4132
-</td>
-</tr>
-</tbody>
-</table>
-<p><strong>Variable type: numeric</strong></p>
-<table>
-<thead>
-<tr>
-<th style="text-align:left;">
-skim_variable
-</th>
-<th style="text-align:right;">
-n_missing
-</th>
-<th style="text-align:right;">
-complete_rate
-</th>
-<th style="text-align:right;">
-mean
-</th>
-<th style="text-align:right;">
-sd
-</th>
-<th style="text-align:right;">
-p0
-</th>
-<th style="text-align:right;">
-p25
-</th>
-<th style="text-align:right;">
-p50
-</th>
-<th style="text-align:right;">
-p75
-</th>
-<th style="text-align:right;">
-p100
-</th>
-<th style="text-align:left;">
-hist
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-ENVIRONMENT_IMPACT_CURRENT
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-62.52
-</td>
-<td style="text-align:right;">
-15.70
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-52.0
-</td>
-<td style="text-align:right;">
-63.0
-</td>
-<td style="text-align:right;">
-73
-</td>
-<td style="text-align:right;">
-100.00
-</td>
-<td style="text-align:left;">
-â–▂▆▇▂
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-ENERGY_CONSUMPTION_CURRENT
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-263.17
-</td>
-<td style="text-align:right;">
-140.44
-</td>
-<td style="text-align:right;">
-4.00
-</td>
-<td style="text-align:right;">
-174.0
-</td>
-<td style="text-align:right;">
-233.0
-</td>
-<td style="text-align:right;">
-327
-</td>
-<td style="text-align:right;">
-1597.00
-</td>
-<td style="text-align:left;">
-▇▂â–â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-CO2_EMISSIONS_CURRENT
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-3.16
-</td>
-<td style="text-align:right;">
-1.94
-</td>
-<td style="text-align:right;">
-0.10
-</td>
-<td style="text-align:right;">
-1.8
-</td>
-<td style="text-align:right;">
-2.8
-</td>
-<td style="text-align:right;">
-4
-</td>
-<td style="text-align:right;">
-77.00
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-PHOTO_SUPPLY
-</td>
-<td style="text-align:right;">
-38499
-</td>
-<td style="text-align:right;">
-0.46
-</td>
-<td style="text-align:right;">
-0.59
-</td>
-<td style="text-align:right;">
-5.12
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-100.00
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-WIND_TURBINE_COUNT
-</td>
-<td style="text-align:right;">
-5547
-</td>
-<td style="text-align:right;">
-0.92
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0.02
-</td>
-<td style="text-align:right;">
--1.00
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:left;">
-â–â–â–‡â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-TOTAL_FLOOR_AREA
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-73.05
-</td>
-<td style="text-align:right;">
-34.87
-</td>
-<td style="text-align:right;">
-5.85
-</td>
-<td style="text-align:right;">
-49.0
-</td>
-<td style="text-align:right;">
-69.0
-</td>
-<td style="text-align:right;">
-87
-</td>
-<td style="text-align:right;">
-1353.68
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-epcIsSocialRent
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-0.21
-</td>
-<td style="text-align:right;">
-0.40
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–‚
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-epcIsPrivateRent
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-0.27
-</td>
-<td style="text-align:right;">
-0.44
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–ƒ
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-epcIsOwnerOcc
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-0.41
-</td>
-<td style="text-align:right;">
-0.49
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–†
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-epcIsUnknownTenure
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:right;">
-0.04
-</td>
-<td style="text-align:right;">
-0.19
-</td>
-<td style="text-align:right;">
-0.00
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0.0
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-1.00
-</td>
-<td style="text-align:left;">
-â–‡â–â–â–â–
-</td>
-</tr>
-</tbody>
-</table>
-<p>This leaves us with a total of 71,501 properties.
-`
-# Current estimated annual CO2 emmisions</p>
-<p>We can now use the cleaned data to estimated the annual CO2 emissions at:</p>
+<div id="fridayfagpackets" class="section level1">
+<h1><span class="header-section-number">1</span> fridayFagPackets</h1>
+<p>Numbers that could have been done on the back of one and should probably come with a similar health warning…</p>
+<blockquote>
+<p>Find out <a href="https://dataknut.github.io/fridayFagPackets/">more</a>.</p>
+</blockquote>
+</div>
+<div id="preamble" class="section level1">
+<h1><span class="header-section-number">2</span> Preamble</h1>
+<p>There’s a lot of talk about Carbon Taxes right now and some early signs that the UK Government will apply them to (larger) businesses post-Brexit (i.e. post-ETS). There is currently not much noise on the idea of applying them to households but it is always a possibility given the acceptance of using tax-based incentives to attempt to suppress the consumption of bad stuff. Think tobacco, alcohol and sugar.</p>
+<p>But what if we did? How much would it raise and from whom?</p>
+<p>There is no simple answer to this hypothetical question since it depends what <a href="https://www.carbontrust.com/resources/briefing-what-are-scope-3-emissions">scope of emissions</a> we consider, in what detail and our assumptions of taxation levels per kg of CO2. Broadly speaking the scopes are:</p>
+<ul>
+<li>Scope 1 – All direct emissions caused by burning something (gas, oil, wood, coal etc);</li>
+<li>Scope 2 - Indirect emissions from electricity purchased and used - the carbon intensity of these (kg CO2/kWh) depends on how it is generated and also, of course, on which tariff you have. A 100% renewable electrons tariff will have a carbon intensity of ~0. If you have a ‘normal’ tariff you will just have to take what the <a href="https://www.carbonintensity.org.uk/">grid offers</a>;</li>
+<li>Scope 3 - All Other Indirect Emissions from things you do - e.g. the things you buy (food, clothes, gadgets etc etc)</li>
+</ul>
+<p>Estimating the emissions from <a href="https://www.carbontrust.com/resources/briefing-what-are-scope-3-emissions">Scope 3</a> is <a href="https://www.sciencedirect.com/science/article/pii/S0921800913000980">notably difficult</a> so for now we’re going to make a #backOfaFagPacket estimate of the residential emissions from Scopes 1 and 2 in Southampton and see what a Carbon Tax applied to these emissions would look like.</p>
+</div>
+<div id="how" class="section level1">
+<h1><span class="header-section-number">3</span> How?</h1>
+<pre class="r"><code>msoaDT <- data.table::fread(here::here("data", "sotonMSOAdata.csv"))</code></pre>
+<p>In an ideal world we would know the fuel (gas, oil, coal, wood, electricity) inputs per year for each dwelling/household in Southampton together with details of how these are used (some methods release more carbon dioxide than others). But we don’t. Once the <a href="https://serl.ac.uk">Smart Energy Research Laboratory</a> really gets going we will have kWh gas and electricity data for a representative sample of British homes (but not a larger enough sample from Southampton to be helpful here). But not yet and even then it may not include other fuels… Other research has used <a href="https://www.sciencedirect.com/science/article/pii/S0921800913000980">UK data on family expenditures on Scope 1-3 ‘consumption’</a> but we can’t apply that directly to Southampton.</p>
+<p>So what to do? There are a number of possible approaches and we’re going to compare two of them:</p>
+<ul>
+<li>Use the most recent <a href="https://www.gov.uk/government/publications/regional-energy-data-guidance-note">BEIS sub-national electricity and gas demand data</a> for ~30 local areas (MSOAs) in Southampton and estimate the CO2 emissions at MSOA and (by summing them) at City level;</li>
+<li>Use the modelled CO2 emissions per dwelling data in the <a href="https://epc.opendatacommunities.org/docs/guidance">Energy Performance Certificate data</a> for Southampton to do the same thing. Modelling carbon emissions from the built form is <a href="https://www.sciencedirect.com/science/article/pii/S2212609015000333">a well known</a> and much-criticised approach. Nevertheless it provides data suitable for a #backOfaFagPacket estimate.</li>
+</ul>
+<p>Unfortunately there are problems with both which we have reported in <a href="epcChecks.html">excessive detail elsewhere</a>. In summary:</p>
<ul>
-<li>MSOA level for Southampton using
+<li>the most recent BEIS data is from 2018. This will not include dwellings and households that did not exist (new builds) at that time, nor account for any building stock improvements since then;</li>
+<li>the EPC records are incomplete since an EPC is only created when a dwelling is rented or sold (since 2007);</li>
+<li>the EPC data have some oddities that mean we have to <a href="epcChecks.html#36_Data_summary">filter out a few ‘impossible’ values</a>.</li>
+</ul>
+<p>This means that both datasets are imperfect for the job. But they’re about as close as we can currently get.</p>
+<p>So with the usual #backOfaFagPacket health warning, let’s try.</p>
+</div>
+<div id="current-estimated-annual-co2-emmisions" class="section level1">
+<h1><span class="header-section-number">4</span> Current estimated annual CO2 emmisions</h1>
+<p>In this #fridayFagPacket we’re going to use these datasets to estimate the annual CO2 emissions at MSOA level for Southampton using:</p>
<ul>
<li>BEIS observed data</li>
<li>aggregated EPC data</li>
-</ul></li>
-<li>Dwelling level for Southampton using
+</ul>
+<p>Obviously the EPC-derived totals will not be the total CO2 emissions for <strong>all</strong> Southampton properties since we know not all dwellings are represented in the EPC data (see above and <a href="epcChecks.html#31_Check_‘missing’_EPC_rates">in more detail</a>).</p>
+<p>Note that we can also use the EPC estimated CO2 emissions data to look at dwelling level patterns if a Carbon Tax was applied. We leave that for a future #fridayFagPacket.</p>
+<div id="method" class="section level2">
+<h2><span class="header-section-number">4.1</span> Method</h2>
+<p>To calculate the MSOA level estimates from the BEIS data we need to apply conversion factors that convert the kWh numbers we have to CO2 emissions. We use the following:</p>
+<pre class="r"><code>elecCF <- 200 # g CO2e/kWh https://www.icax.co.uk/Grid_Carbon_Factors.html
+gasCF <- 215 # g CO2e/kWh https://www.icax.co.uk/Carbon_Emissions_Calculator.html</code></pre>
<ul>
-<li>aggregated EPC data</li>
-</ul></li>
+<li>electricity: 200 g CO2e/kWh</li>
+<li>gas: 215 g CO2e/kWh</li>
</ul>
-<p>Obviously the EPC-derived totals will not be the total CO2 emissions for <strong>all</strong> Southampton properties since we know not all dwellings are represented in the EPC data (see above).</p>
-</div>
-<div id="msoa-estimates" class="section level2">
-<h2><span class="header-section-number">2.7</span> MSOA estimates</h2>
-<p>Method:</p>
-<pre class="r"><code>elecCF <- 200 # CO2e/kWh https://www.icax.co.uk/Grid_Carbon_Factors.html
-gasCF <- 215 # https://www.icax.co.uk/Carbon_Emissions_Calculator.html</code></pre>
-<p>BEIS: apply 2019 mean grid carbon intensity for:
-* electricity: 200 g
-* gas: 215 g CO2e/kWh
-EPC: use estimated CO2 values - note based on ‘old’ electricity grid carbon intensity values ()</p>
-<pre class="r"><code>sotonMSOA_DT[, sumBEIS_tCO2 := (beisElecMWh/1000)*elecCF + (beisGasMWh/1000)*gasCF]</code></pre>
-<pre class="r"><code>ggplot2::ggplot(sotonMSOA_DT, aes(x = sumBEIS_tCO2,
- y = sumEPC_tCO2,
+<p>Clearly if we change these assumptions then we change the results…</p>
+<p>For the EPC we just use the estimated CO2 values - although we should note that these are based on <a href="https://www.passivhaustrust.org.uk/guidance_detail.php?gId=44">‘old’ electricity grid carbon intensity values</a> and since the EPC data does not provide gas and electricity kWh data separately, we cannot correct it.</p>
+<pre class="r"><code>msoaDT[, sumBEIS_gCO2 := (beisElecMWh*1000)*elecCF + (beisGasMWh*1000)*gasCF] # calculate via g & kWh
+msoaDT[, sumBEIS_tCO2 := sumBEIS_gCO2/1000000] # tonnes</code></pre>
+<pre class="r"><code>ggplot2::ggplot(msoaDT, aes(x = sumEPC_tCO2,
+ y = sumBEIS_tCO2,
colour = round(ownerOcc_pc))) +
geom_abline(alpha = 0.2, slope=1, intercept=0) +
geom_point() +
@@ -6528,36 +1930,107 @@ EPC: use estimated CO2 values - note based on ‘old’ electricity grid carbon
y = "BEIS 2018 derived total T CO2/year",
caption = "x = y line included for clarity")</code></pre>
<div class="figure"><span id="fig:co2MSOAPlot"></span>
-<img 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" alt="Energy demand comparison" width="672" />
+<img 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5+XZcuWmUCqLuvsgRdffPGEh5loHTNtBdiBAAIIIIAAAggggAACMRPQSVR14kFNOvGXBj/1lYQAAggggAAC0RHwbABUv4EdP5GRdkmZLo2MjEzYdfjhh8u1115rAqBPPvmk6I8mnb3xwgsvlH333XdCfl2J1jEfuDAbEEAAAQQQQAABBBBAIGYCOtt7Z2enfX39m0FnfichgAACCCCAQPQEfGPdMYLRu1z8XUm7vOs3ujrRkQ5g7vfPPqpAtI6ZTVsDwDoLpReT3q/+/v4JQXAvOsSqzrm5uZKWlmYu39LSIpO/ZIhVubx23ZKSEunq6rJbpHit/rGub35+vmgXSE2NjY3Cx3H074i2vtLPA/1ctrqlRr8U3r6i+ut90HHUNUhEir6A/h7S30fNzc0yU4OA6JcsPq6ozzkNDQ12ZXTS1by8PHtdF/TzWNPw8LDpmWZW+F9UBfS5VJ9Px9+rqBYgTBez3kthOh2nQQABBOJKwLMtQMN1F/WBUX9CSdE6JpQykRcBBBBAAAEEEEAAAQTCJ6Bd3scH1EpLSz8Q/Azf1TgTAggggAACCMwkMHtzxZmOZh8CCCCAAAIIIIAAAggggMAEAW1VrkNuWUknWy0oKLBWeUUAAQQQQACBKAsQAI0yOJdDAAEEEEAAAQQQQACB+BXQoQQ0+GkNKaDdq8vLy+O3wtQMAQQQQAABFwgQAHXBTaKICCCAAAIIIIAAAggg4A6BmpoaGRwcNIVNSkoyM777fD53FJ5SIoAAAgggEKcCBEDj9MZSLQQQQAABBBBAAAEEEIiuQH19vfT29pqL6uSoVVVVkpjItAvRvQtcDQEEEEAAgQ8KEAD9oAlbEEAAAQQQQAABBBBAAIGQBHbs2CHt7e32MRUVFZKammqvs4AAAggggAACsRMgABo7e66MAAIIIIAAAggggAACcSDQ1dUlra2tdk3KysokKyvLXmcBAQQQQAABBGIrQAA0tv5cHQEEEEAAAQQQQAABBFws0NfXJ3V1dXYNiouLJT8/315nAQEEEEAAAQRiL0AANPb3gBIggAACCCCAAAIIIICACwWGh4dFJz0KBoOm9Nrqs6ioyIU1ocgIIIAAAgjEtwAB0Pi+v9QOAQQQQAABBBBAAAEEIiAwOjoq1dXVMjIyYs6u433quJ8kBBBAAAEEEHCeAAFQ590TSoQAAggggAACCCCAAAIOF6itrZWBgQFTSp3pXWd815nfSQgggAACCCDgPAE+oZ13TygRAggggAACCCCAAAIIOFhg+/bt0t3dbUro8/mksrJSkpKSHFxiioYAAggggIC3BQiAevv+U3sEEEAAAQQQQAABBBAIQaCxsVHa2trsI8rLyyU9Pd1eZwEBBBBAAAEEnCdAANR594QSIYAAAggggAACCCCAgAMFtNVnc3OzXbKSkhLJycmx11lAAAEEEEAAAWcKEAB15n2hVAgggAACCCCAAAIIIOAgAR3vU8f9tJLO9l5YWGit8ooAAggggAACDhYgAOrgm0PREEAAAQQQQAABBBBAIPYCOtO7zviuM79rysjIkOLi4tgXjBIggAACCCCAwJwECIDOiYlMCCCAAAKOFQgGRQIBxxaPgiGAAAIIuFsgOPY5o8HP4eFhU5GUlBQz6ZG7a0XpEUAAAQQQ8JZAoreqS20RQAABBOJCYGBQ0m7+raTefa8k/GOzjDXJkUBlhQx+/GPS/6XzJJjLeGxxcZ+pBAIIIOAAgbq6Ounv7zclSUhIkKqqKtFXEgIIIIAAAgi4R4AAqHvuFSVFAAEEEBgT8NfXS87pZ0viO2OBz3Ep8d1qSbzuZ5J6+52y85YbZGS/fcftZREBBBBAAIHQBRoaGqSrq8sc6PP5TPAzOTk59BNxBAIIIIAAAgjEVIAu8DHl5+IIIIAAAiEJ9A9IzufO+kDwc/w5ElpaxvKcKf4dDeM3s4wAAggggEBIAjrbe8vYZ4qVFi9eLOnp6dYqrwgggAACCCDgIgECoC66WRQVAQQQ8LpA2o03SeLmLbMy+Ns7JOO/rpk1HxkQQAABBBCYSqC3t1caGxvtXQsXLpTc3Fx7nQUEEEAAAQQQcJcAAVB33S9KiwACCHhaIPXOe+ZU/7FpkSTljw+KjI0VSkIAAQQQQCAUgcHBQTPpkXVMQUGBaACUhAACCCCAAALuFSAA6t57R8kRQAABbwmMzb6bsGXrnOrsG8vlGxiQhJqaOeUnEwIIIIAAAioQCARM8HN0bHI9TdrlvaSkxCzzPwQQQAABBBBwrwABUPfeO0qOAAIIeEtgeEQ0sBlK8g0Nh5KdvAgggAACHhYIBoMm+Dk0NGQUdLIjnfFdJz8iIYAAAggggIC7BQiAuvv+UXoEEEDAOwLpaRJYWCTavX22pHmCfr8EKspny8p+BBBAAAEEjEB9fb309fWZZf/YZ4gGPxMSEtBBAAEEEEAAgTgQIAAaBzeRKiCAAAJeERg67tg5tQLVtjrDhx4iwZxsr9BQTwQQQACBXRBoamqSjo4O+wyVlZWSkpJir7OAAAIIIIAAAu4WIADq7vtH6RFAAAFPCfRdcL6MZs8c1DStPxMTpPfSizxlQ2URQAABBOYn0NraKhoAtdKiRYskMzPTWuUVAQQQQAABBOJAgABoHNxEqoAAAgh4RWB0rAv8zl//QkYzMkyVp+wOP9Zdsfuaq2VkxX5eYaGeCCCAAALzFNAu7w0NDfbRpaWlkpeXZ6+zgAACCCCAAALxIUAAND7uI7VAAAEEPCMwfMga6Xzkfhk89miRxES73hoMHTp4tXTed5cMnnKyvZ0FBBBAAAEEphLQyY6qq6tFJz/SlD3Ww6CgoGCqrGxDAAEEEEAAAZcLvP+Xo8srQvERQAABBLwjENitSnbeeL34du6UhK3viowEJFBVIUH+cPXOm4CaIoAAArsgMDo6aoKfgUDAnCUtLU0qKip24YwcigACCCCAAAJOFiAA6uS7Q9kQQAABBGYUCI611hlZuWLGPOxEAAEEEEBgskBNTY0MDg6azUlJSWbGd59Pp9AjIYAAAggggEA8CtAFPh7vKnVCAAEEEEAAAQQQQACBKQXq6+ulp6fH7PP7/aIzvieOG1JlyoPYiAACCCCAAAKuFiAA6urbR+ERQAABBBBAAAEEEEBgrgI7duyQ9vZ2O7t2e9fu7yQEEEAAAQQQiG8BAqDxfX+pHQIIIIAAAggggAACCIwJ7BwbN7q1tdW2KCsrk6ysLHudBQQQQAABBBCIXwECoPF7b6kZAggggAACCCCAAAIIjAn09/dLbW2tbVFcXCz5+fn2OgsIIIAAAgggEN8CBEDj+/5SOwQQQAABBBBAAAEEPC0wPDxsZnwPBoPGQVt9FhUVedqEyiOAAAIIIOA1AQKgXrvj1BcBBBBAAAEEEEAAAY8IjI6Ois74PjIyYmqcmpoqOu4nCQEEEEAAAQS8JUAA1Fv3m9oigAACCCCAAAIIIOAZAe32rt3fNelM71VVVaIzv5MQQAABBBBAwFsCfPp7635TWwQQQAABBBBAAAEEPCGwfft26e7uNnX1+XxSWVkpSUlJnqg7lUQAAQQQQACBiQIEQCd6sIYAAggggAACCCCAAAIuF2hqapK2tja7FuXl5ZKenm6vs4AAAggggAAC3hIgAOqt+01tEUAAAQQQQAABBBCIawFt9akBUCuVlJRITk6OtcorAggggAACCHhQgACoB286VUYAAQQQQAABBBBAIB4FBgYGRMf9tFJhYaHoDwkBBBBAAAEEvC1AANTb95/aI4AAAggggAACCCAQFwI603t1dbXozO+aMjIyRFt/khBAAAEEEEAAAQKgvAcQQAABBBBAAAEEEEDA1QLBYNAEP4eHh009UlJSzKRHrq4UhUcAAQQQQACBsAkQAA0bJSdCAAEEEEAAAQQQQACBWAjU1dVJf3+/uXRCQoIJfuorCQEEEEAAAQQQUAECoLwPEEAAAQQQQAABBBBAwLUCjY2N0tXVZZe/srJStAUoCQEEEEAAAQQQsAQIgFoSvCKAAAIIIIAAAggggICrBFpaWqS5udku8+LFi83Yn/YGFhBAAAEEEEAAgTEBAqC8DRBAAAEEEEAAAQQQQMB1Ar29vdLQ0GCXu6ioSBYsWGCvs4AAAggggAACCFgCBEAtCV4RQAABBBBAAAEEEEDAFQKDg4NSU1NjlzU/P1+Ki4vtdRYQQAABBBBAAIHxAgRAx2uwjAACCCCAAAIIIIAAAo4WCAQCJvipr5rS0tKktLTU0WWmcAgggAACCCAQWwECoLH15+oIIIAAAggggAACCCAwR4FgMGiCn9oCVFNycrJUVVWJz+eb4xnIhgACCCCAAAJeFCAA6sW7Tp0RQAABBBBAAAEEEHChQH19vejYn5r8fr/ojO+JiYkurAlFRgABBBBAAIFoChAAjaY210IAAQQQQAABBBBAAIF5CWzfvl06OjrsYzX4mZqaaq+zgAACCCCAAAIITCdAAHQ6GbYjgAACCCCAAAIIIICAIwQ6Ozulra3NLktZWZlkZmba6ywggAACCCCAAAIzCRAAnUmHfQgggAACCCCAAAIIIBBTgb6+Ptm2bZtdhpKSEtFZ30kIIIAAAggggMBcBQiAzlWKfAgggAACCCCAAAIIIBBVgaGhITPpkU5+pCk7O1sKCwujWgYuhgACCCCAAALuFyAA6v57SA0QQAABBBBAAAEEEIg7gdHRURP8HBkZMXVLS0uT8vLyuKsnFUIAAQQQQACByAsQAI28MVdAAAEEEEAAAQQQQACBEAVqampkYGDAHJWUlGRmfNeZ30kIIIAAAggggECoAjxBhCpGfgQQQAABBBBAAAEEEIioQH19vfT09Jhr+Hw+E/zUICgJAQQQQAABBBCYjwAB0PmocQwCCCCAAAIIIIAAAghERKChoUHa29vtc1dUVIh2fychgAACCCCAAALzFSAAOl85jkMAAQQQQAABBBBAAIGwCuzcuVNaWlrsc5aWlpqJj+wNLCCAAAIIIIAAAvMQIAA6DzQOQQABBBBAAAEEEEAAgfAK9Pf3S21trX3ShQsXSkFBgb3OAgIIIIAAAgggMF8BAqDzleM4BBBAAAEEEEAAAQQQCIvA8PCwmfE9GAya82VmZooGQEkIIIAAAggggEA4BAiAhkORcyCAAAIIIIAAAggggMC8BEZHR03wU4OgmlJTU82kR/M6GQchgAACCCCAAAJTCBAAnQKFTQgggAACCCCAAAIIIBAdgbq6OtHu75oSExNN8NPv58+U6OhzFQQQQAABBLwhwJOFN+4ztUQAAQQQQAABBBBAwHECO3bsEJ34SJPP5zPBz+TkZMeVkwIhgAACCCCAgLsFCIC6+/5RegQQQAABBBBAAAEEXCnQ1NQkra2tdtkXL14s6enp9joLCCCAAAIIIIBAuAQIgIZLkvMggAACCCCAAAIIIIDAnAR6enpEA6BWKi4ultzcXGuVVwQQQAABBBBAIKwCBEDDysnJEEAAAQQQQAABBBBAYCaBgYEBM+mRlaewsFCKioqsVV4RQAABBBBAAIGwCxAADTspJ0QAAQQQQAABBBBAAIGpBEZGRkzwU2d+15SRkSHa+pOEAAIIIIAAAghEUoAAaCR1OTcCCCCAAAIIIIAAAggYgWAwaIKfQ0NDZl0nO6qsrDSTH0GEAAIIIIAAAghEUoAAaCR1OTcCCCCAAAIIIIAAAggYgW3btklfX59ZTkhIkKqqKtFXEgIIIIAAAgggEGkBAqCRFub8CCCAAAIIIIAAAgh4XKCxsVE6OzttBW35mZKSYq+zgAACCCCAAAIIRFKAAGgkdTk3AggggAACCCCAAAIeF2hpaZHm5mZbYdGiRWbsT3sDCwgggAACCCCAQIQFCIBGGJjTI4AAAggggAACCCDgVYHe3l5paGiwq19aWip5eXn2OgsIIIAAAggggEA0BAiARkOZayCAAAIIIIAAAggg4DGBwcFBM+mRVe2cnBwpKCiwVnlFAAEEEEAAAQSiJkAANGrUXAgBBBBAAAEEEEAAAW8IBAIBE/zUV01paWlSXl7ujcpTSwQQQAABBBBwnAABUMfdEgqEAAIIIIAAAggggIC7BWpqakRbgGpKSkoyM777fD53V4rSI4AAAggggIBrBQiAuvbWUXAEEEAAAQQQQAABBJwnUF9fLzr2pya/32+Cn4mJic4rKCVCAAEEEEAAAc8IEAD1zK2moggggAACCCCAAAIIRFZgx44d0t7ebl+koqJCUlNT7XUWEEAAAQQQQACBWAgQAI2FOtdEAAEEEEAAAQQQQCDOBLq6uqS1tdWuVVlZmWRlZdnrLCCAAAIIIIAAArESIAAaK3muiwACCCCAAAIIIIBAnAj09fVJXV2dXZvi4mLJz8+311lAAAEEEEAAAQRiKUAANJb6XBsBBBBAAAEEEEAAAZcLDA8Pmxnfg8GgqYm2+iwqKnJ5rSg+AggggAACCMSTAAHQeLqb1AUBBBBAAAEEEEAAgSgKjI6OSnV1tYyMjJirpqWliY77SUIAAQQQQAABBJwkQADUSXeDsiCAAAIIIIAAAggg4CKB2tpaGRgYMCXWmd4rKyvNzO8uqgJFRQABBBBAAAEPCBAA9cBNpooIIIAAAggggAACCIRbYPv27dLd3W1O6/P5TPAzKSkp3JfhfAgggAACCCCAwC4LEADdZUJOgAACCCCAAAIIIICAtwQaGxulra3NrrR2e09PT7fXWUAAAQQQQAABBJwkQADUSXeDsiCAAAIIIIAAAggg4HABbfXZ3Nxsl7KkpESys7PtdRYQQAABBBBAAAGnCRAAddodoTwIIIAAAggggAACCDhUoL+/X3TcTyvpbO+FhYXWKq8IIIAAAggggIAjBQiAOvK2UCgEEEAAAQQQQAABBJwloDO919TUiM78rikzM1OKi4udVUhKgwACCCCAAAIITCFAAHQKFDYhgAACCCCAAAIIIIDA+wLBYFCqq6tleHjYbExJSTGTHr2fgyUEEEAAAQQQQMC5AgRAnXtvKBkCCCCAAAIIIIAAAo4Q0G7v2v1dU0JCglRVVYnfz58Sjrg5FAIBBBBAAAEEZhXgqWVWIjIggAACCCCAAAIIIOBdgYaGBtm5c6cB8Pl8JviZnJzsXRBqjgACCCCAAAKuEyAA6rpbRoERQAABBBBAAAEEEIiOgM723tLSYl9s8eLFkp6ebq+zgAACCCCAAAIIuEGAAKgb7hJlRAABBBBAAAEEEEAgygI9PT3S2NhoX3XhwoWSm5trr7OAAAIIIIAAAgi4RYAAqFvuFOVEAAEEEEAAAQQQQCBKAoODg2bGd+tyBQUFogFQEgIIIIAAAggg4EYBAqBuvGuUGQEEEEAAAQQQQACBCAkEAgEz4/vo6Ki5gnZ5LykpidDVOC0CCCCAAAIIIBB5AQKgkTfmCggggAACCCCAAAIIuEIgGAya4OfQ0JApr052pDO+6+RHJAQQQAABBBBAwK0CBEDdeucoNwIIIIAAAggggAACYRbYtm2b9PX1mbP6/X4T/ExISAjzVTgdAggggAACCCAQXQECoNH15moIIIAAAggggAACCDhSoKmpSTo7O+2yVVZWSkpKir3OAgIIIIAAAggg4FYBAqBuvXOUGwEEEEAAAQQQQACBMAm0tLSIBkCttGjRIsnMzLRWeUUAAQQQQAABBFwtQADU1bePwiOAAAIIIIAAAgggsGsCvb290tjYaJ+ktLRU8vLy7HUWEEAAAQQQQAABtwskur0ClB8BBBBAAAEEEEAAAQTmJ6CTHdXX14s143tOTo4UFBTM72QchQACCCCAAAIIOFSAAKhDb0w0iqWzeWZnZ0fjUo67htZdZzX1av1jfUOSkpLsImRkZIjOOEuKjUBqaqokJvJREAv98ZOKZGVlxaIInr+mNau1/h7Sfwuk6AvoJDuavPxMEn31968YCARk8+bNZkN6erqkpaXJ7rvvzozv7xNFdUn/PfBsGlVy+2LWs5Cb/Xmetm8nCwgggMCUAvzVOyWLNzbqHxteHdhe664POtYfXt64486p5Xh3DUSTYieg/w7GB+JiVxLvXXn8vwOv/i52yl3XL2WsP36dUiYvloN/B9G/6xr81CCofg5oAHSvvfbi30L0b4N9Rf1c4N+BzRHVBesLMTf7EwCN6luGiyGAgAsFCIC68KaFq8ja1UkHvPdiKioqkv7+funu7vZi9WNe59zcXNPKRAvS0dEhIyMjMS+TFwtQUlIiPT090tfX58Xqx7zO+fn5piW6FqS1tZWW0DG4Ixr00c8DnfVauwGToi+g/nof9A93rz6TRF/9vStqt/f29nYT8NTfRwsWLDCfybEqj5evq5/HmvR5SD8PSNEX0NbP+nzq9t9D1nsp+oJcEQEEEHC+AJMgOf8eUUIEEEAAAQQQQAABBMIm0NDQYIKfekJt+bbbbrvZX0yG7SKcCAEEEEAAAQQQcJAAAVAH3QyKggACCCCAAAIIIIBAJAW6uromtHIrKytj3MlIgnNuBBBAAAEEEHCEAAFQR9wGCoEAAggggAACCCCAQGQFdMiTuro6+yILFy5kxndbgwUEEEAAAQQQiGcBAqDxfHepGwIIIIAAAggggAACYwLDw8NSU1NjjzeclZUlGgAlIYAAAggggAACXhAgAOqFu0wdEUAAAQQQQAABBDwroBNfavDTmnQwNTVVKioqPOtBxRFAAAEEEEDAewIEQL13z6kxAggggAACCCCAgIcEamtrpb+/39Q4MTFRqqqqxO/nzwAPvQWoKgIIIIAAAp4X4MnH828BABBAAAEEEEAAAQTiVWD79u3S3d1tqqczvldWVkpSUlK8Vpd6IYAAAggggAACUwoQAJ2ShY0IIIAAAggggAACCLhboKmpSdra2uxKlJeXS3p6ur3OAgIIIIAAAggg4BUBAqBeudPUEwEEEEAAAQQQQMAzAtrqUwOgViopKZGcnBxrlVcEEEAAAQQQQMBTAgRAPXW7qSwCCCCAAAIIIIBAvAsMDAyIjvtppcLCQtEfEgIIIIAAAggg4FUBAqBevfPUGwEEEEAAAQQQQCDuBHSm9+rqatGZ3zVlZGSItv4kIYAAAggggAACXhYgAOrlu0/dEUAAAQQQQAABBOJGIBgMmuDn8PCwqVNKSoqZ9ChuKkhFEEAAAQQQQACBeQoQAJ0nHIchgAACCCCAAAIIIOAkgbq6Ounv7zdFSkhIkKqqKtFXEgIIIIAAAggg4HUBAqBefwdQfwQQQAABBBBAAAHXCzQ0NEhXV5eph8/nM8HP5ORk19eLCiCAAAIIIIAAAuEQSAzHSTgHAggggAACCDhLYLSzTgZf/Y2MbHtOgn1t4kvLk8TFayR55RmSsGA3ZxWW0iCAwC4JtLS0iP5YadGiRZKenm6t8ooAAggggAACCHhegACo598CACCAAAIIxJvA0Ov/K/1PbBAZHbGrFuxrlaG2d2Tob7dJ6tqvS8r+Z9v7WEAAAfcK9Pb2irb+tNLChQtlwYIF1iqvCCCAAAIIIIAAAmMCdIHnbYAAAggggEAcCQy9fb/0P/6NCcHPCdULBmTgqStk6I3fTdjMCgIIuE9gcHBQampq7ILn5+eLBkBJCCCAAAIIIIAAAhMFCIBO9GANAQQQQAAB1woEh3pk4InL5lT+/qevlNH+zjnlJRMCCDhPIBAImBnf9VWTdnkvLS11XkEpEQIIIIAAAggg4AABAqAOuAkUAQEEEEAAgXAIDG95TIIDcwxqjgVLh995MByX5RwIIBBlgWAwaIKfQ0ND5so62VFlZaXo5EckBBBAAAEEEEAAgQ8KEAD9oAlbEEAAAQQQcKVAoOmNkModav6QTk5mBBCImEB9fb309fWZ8/v9fhP8TExkaP+IgXNiBBBAAAEEEHC9AAFQ199CKoAAAggggMB7AsGR/tAoQs0f2tnJjQACERDYvn27dHR02GfWlp+pqan2OgsIIIAAAggggAACHxQgAPpBE7YggAACCCDgSgF/9qKQyh1q/pBOTmYEEAi7QGdnp7S1tdnnLSsrk8zMTHudBQQQQAABBBBAAIGpBQiATu3CVgQQQAABBFwnkLTbupDKnLjkoyHlJzMCCMROQLu8b9u2zS5ASUmJ6KzvJAQQQAABBBBAAIHZBQiAzm5EDgQQQAABBFwhkFC4pyTtftycyppY9RFJLFk5p7xkQgCB2AroZEc1NTWikx9pys7OlsLCwtgWiqsjgAACCCCAAAIuEiAA6qKbRVERQAABBBCYTSDtyKvEX/ihGbP585dJ2jHXzJiHnQgg4AyB0dFRE/wcGRkxBUpLS5OKigpnFI5SIIAAAggggAACLhEgAOqSG0UxEUAAAQQQmIuALyVbMj9zlyTvf5ZIQvLEQ/yJkrzf6WP77xF/2oKJ+1hDAAFHCmjLz4GBAVO2pKQkM+O7z+dzZFkpFAIIIIAAAggg4FSBRKcWjHIhgAACCCCAwPwEfEnpknbEZZJ6yNdkpGGjBPvaxDcW8Ews2V98KVnzOylHIYBA1AXq6+ulp6fHXNfv95vgpwZBSQgggAACCCCAAAKhCRAADc2L3AgggAACCLhGwJecIUkVh7mmvBQUAQTeF2hoaJD29nZ7Q3l5uWj3dxICCCCAAAIIIIBA6AJ0gQ/djCMQQAABBBBAAAEEEIiYwM6dO6WlpcU+f2lpqZn4yN7AAgIIIIAAAggggEBIAgRAQ+IiMwIIIIAAAggggAACkRPo7++X2tpa+wILFy6UgoICe50FBBBAAAEEEEAAgdAFCICGbsYRCCCAAAIIIIAAAgiEXWB4eFiqq6slGAyac2dmZooGQEkIIIAAAggggAACuyZAAHTX/DgaAQQQQAABBBBAAIFdFhgdHRWd8X1kZMScKzU11Ux6tMsn5gQIIIAAAggggAACQgCUNwECCCCAAAIIIIAAAjEWqKurE+3+rikxMdEEP3XmdxICCCCAAAIIIIDArgvwVLXrhpwBAQQQQAABBBBAAIF5C+zYsUN04iNNPp/PBD+Tk5PnfT4ORAABBBBAAAEEEJgoQAB0ogdrCCCAAAIIIIAAAghETaCpqUlaW1vt65WXl0t6erq9zgICCCCAAAIIIIDArgsQAN11Q86AAAIIIIAAAggggEDIAj09PaIBUCsVFxdLTk6OtcorAggggAACCCCAQJgECICGCZLTIIAAAggggAACCCAwV4GBgQEz6ZGVv7CwUIqKiqxVXhFAAAEEEEAAAQTCKEAANIyYnAoBBBBAAAEEEEAAgdkEdKZ3nfFdZ37XlJGRIdr6k4QAAggggAACCCAQGQECoJFx5awIIIAAAggggAACCHxAIBgMSnV1tQwNDZl9KSkpZtIjnfyIhAACCCCAAAIIIBAZAQKgkXHlrAgggAACCCCAAAIIfECgrq5O+vv7zfaEhAQT/NRXEgIIIIAAAggggEDkBAiARs6WMyOAAAIIIIAAAgggYAs0NjZKV1eXvV5ZWSnaApSEAAIIIIAAAgggEFkBAqCR9eXsCCCAAAIIIIAAAghIa2urNDc32xKLFy82Y3/aG1hAAAEEEEAAAQQQiJgAAdCI0XJiBBBAAAEEEEAAAQREent7ZceOHTZFaWmpLFiwwF5nAQEEEEAAAQQQQCCyAgRAI+vL2RFAAAEEEEAAAQQ8LDA4OGhmfLcIcnJypKCgwFrlFQEEEEAAAQQQQCAKAgRAo4DMJRBAAAEEEEAAAQS8JxAIBEzwU181paWlSXl5ufcgqDECCCCAAAIIIBBjAQKgMb4BXB4BBBBAAAEEEEAg/gSCwaAJfmoLUE3JyclSVVUlPp8v/ipLjRBAAAEEEEAAAYcLEAB1+A2ieAgggAACCCCAAALuE6ivrzdjf2rJ/X6/6IzviYmJ7qsIJUYAAQQQQAABBOJAgKewOLiJVAEBBBBwq0BwZ6MEtjwtwa4d4ktOF3/ZfuIrXyU+f4Jbq0S5EUAAATPhUUdHhy2hwc/U1FR7nQUEEEAAAQQQQACB6AoQAI2uN1dDAAEEEBgTCA4PyMgjV0rgldvHVkYnmPgKlkjS8d8Tf8WqCdtZQQABBNwg0NXVJa2trXZRy8rKJDMz015nAQEEEEAAAQQQQCD6AnSBj745V0QAAQQ8LRAcGZShWz4ngZdv+0DwU2GCrVtl6ObPSmDzU552ovIIIOA+gb6+Pqmrq7MLXlxcLPn5+fY6CwgggAACCCCAAAKxESAAGht3rooAAgh4VmDkiWskuG3jzPUfDcjw3f8uwb73u5DOfAB7EUAAgdgKDA0NmUmPdPIjTdnZ2VJUVBTbQnF1BBBAAAEEEEAAASNAAJQ3AgIIIIBA1ASCgz0SeOHmuV1vsFsCL906t7zkQgABBGIoMDo6aoKfIyMjphRpaWlSXl4ewxJxaQQQQAABBBBAAIHxAgRAx2uwjAACCCAQUYHRmhdEAkNzvkZg6zNzzktGBBBAIFYCNTU1MjAwYC6vM73rpEc68zsJAQQQQAABBBBAwBkCPJk54z5QCgQQQMATAsHuptDqGWr+0M5ObgQQQGCXBerr66Wnp8ecx+fzSVVVlSQlJe3yeTkBAggggAACCCCAQPgECICGz5IzIYAAAgjMIuBLy5klx6TdqSHmn3Q4qwgggEAkBRobG6W9vd2+REVFhWj3dxICCCCAAAIIIICAswQIgDrrflAaBBBAIK4F/IsPCKl+/vIDQ8pPZgQQQCBaAjt37pTm5mb7cqWlpWbiI3sDCwgggAACCCCAAAKOESAA6phbQUEQQACB+BfwZReLf6+j51ZRn18SDjx9bnnJhQACCERRoL+/X+rq6uwr6mzvBQUF9joLCCCAAAIIIIAAAs4SCHsAVAeA15kwSQgggAACCEwlkHTMBpGM2QMFiR/5qvgLl0x1CrYhgAACMRMYHh42M75bz7uZmZlSXFwcs/JwYQQQQAABBBBAAIHZBcIeAN2wYYPo+Efr16+Xvr6+2UtADgQQQAABTwn4ckok+ey7xLdwz6nrnZAkiUeul8TD/23q/WxFAAEEYiQQDAZN8FODoJpSU1PNjO8xKg6XRQABBBBAAAEEEJijQOIc880526233io7duyQX/3qV3LllVfO+TgyIoAAAgh4R8CfXynJ//qgjL71kATeeVKkq14kOUP8ZftJwn4niy+3zDsY1BQBBOYt8GrKk/J4+h2yJelvMujrk8LAIjlgYJ0c13u2ZAUXzPu80x1YW1sr2v1dU2Jiogl++v1hb08w3eXZjgACCCCAAAIIIDBPgbAGQAOBgLS0tJiiHHrooZKQkDDPYnEYAggggEC8C/jGggYJy48zP/FeV+qHAALhFRiSAfmf3P8nz6bd/96Jg++99Ca9KTVjPw9n3CIXdfxc9h46JGwX1i/4deIjTT6fzwQ/k5OTw3Z+ToQAAggggAACCCAQOYGwfmWtAc/DDz/clPbFF19kLNDI3TfOjAACCCCAAAIIeFbg+txL3gt+/jPwKb4xCv35Z+r1d8n38s6W2sS3rE279Kqzvbe2ttrnWLx4saSnp9vrLCCAAAIIIIAAAgg4WyCsAVCtqnZ7z87OloaGBjn33HPtb8qdzUDpEEAAAQQQQAABBNwg8Ebyc/J/afeJaPBzXNBzctmHfANyY/aGyZtDXu/p6ZHGxkb7OJ3wKDc3115nAQEEEEAAAQQQQMD5AmHtAq/V1QfC66+/Xi6++GK56aab5Pe//73stddesmzZslm7Cmnr0cMOO8z5apQQAQQQQAABBBBAICYCT6b/7r3rzhD8tAr2VsqL0pBQIyWBSmtTSK8DAwNm0iProIKCAikqKrJWeUUAAQQQQAABBBBwiUDYA6Bf+9rX5E9/+pNd/c7OTnn++efNj71xmoVvf/vbBECnsWEzAggggAACCCCAgMi7iZtCYqhO+vu8AqAjIyMm+Dk6Omqup13eS0pKQro2mRFAAAEEEEAAAQScIRD2LvDOqBalQAABBBBAAAEEEIhHAe3aHkoKNb+eOxgMmuDn0NCQuZROdlRVVWUmPwrl2uRFAAEEEEAAAQQQcIZA2FuA3nrrrTI4ODiv2mVmZs7rOA5CAAEEEEAAAQQQ8IZAUWCxtCTWz7myC0fK55zXyrht2zbp6+szqzrJpwY/9ZWEAAIIIIAAAggg4E6BsAdAFyxY4E4JSo0AAggggAACCCDgeIFVA0fKppTnZy/n2CRJ2aN5svvw/rPnHZejqalJdAgnK1VWVkpKSoq1yisCCCCAAAIIIICACwXoAu/Cm0aREUAAAQQQQAABrwp8tO80KRwpm7n6/5wh/tM9X5UEmfv3/a2traIBUCstWrRIMjIyrFVeEUAAAQQQQAABBFwq4KgAqI63REIAAQQQQAABBBBAYDqBFEmVizt+JZmjue9lmfz4+M/g50f7PitH9Z0+3Wk+sF27vDc0NNjbdcKjvLw8e50FBBBAAAEEEEAAAfcKzP0r8XnUsaamRhobG0UHkLdm0NTTaKBTZ9YMBALS29trvml/8MEH5ZBDDpFvfOMb87gShyCAAAIIIIAAAgh4RaBy5EPyX60PyM1ZV8qLqY9KUN6bqV3rnzdaLKd2Xyjr+j89Zw59Vq2urjbPqHpQTk6OFBYWzvl4MiKAAAIIIIAAAgg4WyAiAdC//vWvcumll8rTTz8dUu1XrVoVUn4yI4AAAggggAACCHhToDCwSC7qvF52+tqlOunvMuDrE91WNbJcfGP/zTXpF/Ia/NRXTWlpaVJeHvrESXO9HvkQQAABBBBAAAEEoi8Q9gBoR0eHfPKTnzQtP0OpTmlpqey5556hHEJeBBBAAAEEEEAAAY8LZAfzZL+hw+etoD2WBgcHzfFJSUlmxnefb+4B1HlfmAMRQAABBBBAAAEEoiYQ9gDoVVddZQc/161bJyeccIL5Jv2LX/yimUHzhhtuMN3ea2tr5c4775StW7fKbrvtJm+//bboQycJAQQQQAABBBBAAIFoCNTX15vnUr2W3+83wc/ExLA/HkejKlwDAQQQQAABBBBAYAaBsD/hvfLKK+ZyRx11lDzyyCP2pa+++moT7Nx9993loIMOMtsvvvhiOeaYY+SFF16Qa665xnSbtw9gAQEEEEAAAQQQQACBCAnohEft7e322SsqKiQ1NdVeZwEBBBBAAAEEEEAgfgTCPgv85s2bjc5//Md/TFA6+OCDzfqTTz5pb8/NzZXHH39clixZIpdffrkZf8neyQICCCCAAAIIIIAAAhEQ6OrqkpaWFvvMZWVlkpWVZa+zgAACCCCAAAIIIBBfAmENgA4PD8v27duN0LJlyyZI7bHHHmb99ddfn7A9MzNTjj32WOnv75ff//73E/axggACCCCAAAIIIIBAOAX6+vqkrq7OPuXChQslPz/fXmcBAQQQQAABBBBAIP4EwhoA1TE8rQfIyeMnTRcAVdK1a9ca2TfeeCP+hKkRAggggAACCCCAgCME9Mt6nfQoGAya8mirTw2AkhBAAAEEEEAAAQTiWyCsAVClsmZyr66uniC31157mXWd7GhoaGjCvvT0dLO+adOmCdtZQQABBBBAAAEEEEAgHAKjo6NmuKWRkRFzurS0NNFxP0kIIIAAAggggAAC8S8QsQDo9ddfP0FPW4Bqq1B96HzmmWcm7HvggQfMOmMvTWBhBQEEEEAAAQQQQCBMArW1tTIwMGDOps+klZWVZub3MJ2e0yCAAAIIIIAAAgg4WCDsAdDPf/7z4vP55K677pJPfepT8vLLL5vqa/f4D3/4w2b5/PPPlx07dpjuR/fff7/cfffdZvvSpUsdTEXREEAAAQQQQAABBNwooGPUd3d3m6Lrc2rlWPBTn01JCCCAAAIIIIAAAt4QCHsA9PDDD5cLLrjA6N1zzz1ywgkn2JJf/epXzbLOFL948WIpKSkx+61ZODV4SkIAAQQQQAABBBBAIFwCTU1N0tbWZp+uvLxcrOGX7I0sIIAAAggggAACCMS1QNgDoKr1ve99T77yla+IzvC+ZMkSG/D444+Xf/u3fzPrOg6TPpBa6bzzzpNDDz3UWuUVAQQQQAABBBBAAIFdEtBWn+OfN/XL95ycnF06JwcjgAACCCCAAAIIuE8gMRJF1m/Vf/rTn8p3v/tdee211+xLaJej//7v/5YDDjhA/vCHP8irr74q2u39tNNOk3PPPdfOxwICCCCAAAIIIIAAArsi0N/fLzrup5UKCwtFf0gIIIAAAggggAAC3hOISADUYszOzhbtEj85nXXWWaI/JAQQQAABBBBAAAEEwi2gk27W1NSI9jjSpL2StPUnCQEEEEAAAQQQQMCbAhHpAj8dZW9vr/T09Ey3m+0IIIAAAggggAACCOySQDAYlOrqahkeHjbnSUlJkYqKil06JwcjgAACCCCAAAIIuFsgogFQndzooosukrVr10ppaan59n3Dhg1GTB9MDzvsMDMDvPXtvLspKT0CCCCAAAIIIIBArAXq6upEu79rSkhIkKqqKvMa63JxfQQQQAABBBBAAIHYCUSkC7x+8/6Tn/xEvvOd70hnZ+eUtdNuSX/5y1/Mj44B+pvf/EaSkpKmzMtGBBBAAAEEEEAAAQRmE2hoaJCuri6TTcee1+BncnLybIexHwEEEEAAAQQQQCDOBSLSAvTHP/6xXHjhhSb4mZiYKCtXrjSTHY231LGZrIDn//7v/8qXv/zl8btZRgABBBBAAAEEEEBgzgLa80h/rLR48WLRiTlJCCCAAAIIIIAAAgiEPQD6xhtvyPr1643scccdJ1u3bpWNGzeKLo9PRx55pNmn3eA1aQvQf/zjH+OzsIwAAggggAACCCCAwKwCOsa8tv600sKFCyU3N9da5RUBBBBAAAEEEEDA4wJhD4Bee+21Mjg4aFp93nXXXVJeXj4tsX4z/8gjj0heXp4EAgG58cYbp83LDgQQQAABBBBAAAEEJgvoc2dtba29OT8/XzQASkIAAQQQQAABBBBAwBIIewD0tddeM+fWVqBpaWnWdaZ91TxW69DNmzdPm48dCCCAAAIIIIAAAgiMF9Av0HViTX3VpF3edeJNEgIIIIAAAggggAAC4wXCGgDVh89NmzaZ8x9wwAHjrzPj8jHHHGP266ydJAQQQAABBBBAAAEEZhPQSTc1+Dk0NGSy6mRHOumRTn5EQgABBBBAAAEEEEBgvEBYA6AJCQmSmZlpzm/NwDn+YtMtWwPW8439dEJsRwABBBBAAAEEEBgvUF9fL319fWaT3+83wU99FiUhgAACCCCAAAIIIDBZIKwBUD35fvvtZ67x5z//efK1pl3XcUA17b333tPmYQcCCCCAAAIIIIAAAiqwfft26ejosDEqKyslJSXFXmcBAQQQQAABBBBAAIHxAmEPgK5evdqc//LLL5ctW7aMv9aUyzfddJM89NBDZl8o3eanPBkbEUAAAQQQ8IBAcKBbAs/dJMO/PU+Gf/5JGb75LAk8c70Ee9s9UHuq6HWBzs5OaWtrsxkWLVpk90CyN7KAAAIIIIAAAggggMA4gbAHQC+55BLR2d27u7vlwAMPlOuvv16amprGXfK9RZ2t89xzz5VzzjnHbDj00EPlpJNO+kA+NiCAAAIIIIDA+wKjm5+R4WvWSuDByyX49uMSrH9Ngu88JYFHrpbhHx4ugTceeD8zSwjEmYB2ed+2bZtdq5KSEsnLy7PXWUAAAQQQQAABBBBAYCqBsAdAc3Nz5eabbxYdi0nHAf3yl78sxcXFJhCqBbj99tulsLBQtKvSjTfeKDqAvc7YqS1B9RgSAggggAACCEwtMFr9Vxm55WyRvve7/k7IOdQrgTsukNFND0/YzAoC8SCgkx3ppEf67KgpJyfHPFPGQ92oAwIIIIAAAggggEBkBSIScfzIRz4if/3rX2XNmjV26QcHB81yQ0ODtLa22tvXrVsnL7/8sixdutTexgICCCCAAAIITBQIBoZl5N5LREYDE3dMsTbyh/Wi3eRJCMSLQCAQMMFPfdWUlpYm5eXl8VI96oEAAggggAACCCAQYYHESJ1/1apV8txzz8ndd99tXjdv3iz6o9/a77777rJs2TLRQOkJJ5wQqSJwXgQQQAABBOJGIDjW9V3a6+ZWn75OGf37nyThwE/PLT+5EHC4gA6dZH2ZnpSUZGZ89/l8Di81xUMAAQQQQAABBBBwikDEAqBaQX0wPeWUU8yPUypMORBAAAEEEHCjwGjdKyEVO6j5CYCGZEZmZwrU19dLT0+PKZwOl6TDKCUmRvQR1pkQlAoBBBBAAAEEEEBg3gJh7wK/ceNG+xv6eZeKAxFAAAEEEEBgokD/zonrs6zRBX4WIHa7QkCHTmpvb7fLWlFRYbq/2xtYQAABBBBAAAEEEEBgDgJhD4B+61vfktLSUvnKV74iL7300hyKQBYEEEAAAQQQmE3Al1MyW5YJ+33ZxRPWWUHAbQI7d+6UlpYWu9hlZWWSlZVlr7OAAAIIIIAAAggggMBcBcIeANUL6zf1P/vZz+Sggw6S5cuXyw9+8APRb2IXKBYAAEAASURBVPBJCCCAAAIIIDA/Ad+ytSEd6A8xf0gnJzMCERbo6+sTHffTSgsXLpT8/HxrlVcEEEAAAQQQQAABBEISCPsAShs2bJCSkhK56667RL+5f/PNN+Xiiy+W9evXy1FHHSVnnnmmnHjiiZKSkhJSQeeTWR+eL7roIikuLpbLLrts2lPooPo6WZPORt/R0WEmaFqxYoUcc8wxkpCQMOVxTj5mygKzEQEEEEDA1QL+sr3Ft/taCb7z9Kz18JXtY/LOmpEMCDhQYHh4WGpqaszEmVo8bfWpAVASAggggAACCCCAAALzFfCNzcoenO/BMx3X398v9913n9xyyy3y6KOPSiAQsLMvWLBAPvOZz8gZZ5whq1evtreHc0GrpUHXZ599VlauXCnXXXfdlKfv7OyU888/X7Zt22b25+Xl2WNNHX744aIB3eTk5AnHOvmYCQWdZaW7u9ueVGCWrHG3u6ioSPQ9qgak6Avk5ubaY7hp98aRkZHoF4Irmi+rurq6RL8sIkVfQFuzWZ8vjY2NdrBnppIEe1pk+OcniXTWT58tI1+S/vUe8eVXTJ+HPUZAv+TUz4O2tjYZGhpCJQYC6q/3YXR0VJqamszr1q1bzWe0Fic1NVWWLl0qOvkRKTIC+ntIfx81NzdPeF6PzNU461QC2nhEkwb/W1tbp8rCtggLpKWliT6fur3XovVeijAXp0cAAQRcKRCxp0n9ENEg55/+9CfR2TuvueYa2W+//QyStrL8+c9/LmvWrJEPfehDcvXVV8uOHTvCBqiBLT2nBj9nS1dccYUJfmog9oEHHjBB2zvuuEOWLFkizzzzzJSBUycfM1t92Y8AAggg4F4BX2ahJJ3/B/EtP3bKSviWHT62/z6Cn1PqsNENAtrtXZ/jNOlM71VVVQQ/3XDjKCMCCCCAAAIIIOBwgYi1AJ2u3q+//rpogPGPf/yjbNq0yc6m3/4feeSRcvbZZ5su8larGDvDHBe0G7sGP7U1jbYW0BYF07UA1e75//qv/2paoml5tJWBlXQc05NOOsm0SvjDH/5gD7rv5GOsss/1lRagtACd63sl3PloARpu0fmdT1sJ0AJ0fnbhOGo+LUDHXzfYvk1G331OpGestVB6rvir1oivcMn4LCzPIkAL0FmAorB7fAvQjRs3mta4elmfz2e+jE5PT49CKbx9CVqAxv7+W632aAEau3tBC9DY2XNlBBBAIFoCEWsBOl0F9t13X7nqqqvk73//u2ltWV5ebrJqF/mHH35YTj31VFm0aJHpeq5dzUNJjz32mFx44YUm+KktOr/61a/OePhTTz1l9q9du3ZC8FM3ald4ncRJu8Q99NBDJp/+z8nH2IVkAQEEEEAg7gV8eYsl4cBPS8IR/yYJB32O4Gfc3/H4rqB+ca1DEVhJnw8JfloavCKAAAIIIIAAAgjsqkDUA6CvvPKKmRRp9913Ny096+rq7DroNv3GX8cEvPzyy2XVqlXyj3/8w94/24K22iwtLZVLL73UzDyvY43OlKwWqNONQ6oBUE3aatVKTj7GKiOvCCCAAAIIIICAWwR00szxQyFpa7icnBy3FJ9yIoAAAggggAACCLhAIOyzwE9VZ53J87bbbpNbb71V3n777QlZysrKzGRIZ47NDr9s2TLRgOiNN95oxgzdsmWLGSdUu51bXUMmHDxpZd26dXLyySebMaMm7Zpydfv27Wa7dsedKlnbrQmSNI+Tj5mqDtq1f3yLivF59txzT1m+fPn4TZ5Z1kB7UlKSZGRkeKbOTqqojutmJe1ypENVkGIjoF0f9d8DKfoC2v3aSrR0sySi+2q993UIHP1MIEVfYHBwUN59911zYb0P2iVenw1J0ROwfhfp53GE5kaNXmVcfiUdvotn09jcROszwM3+/PuNzXuHqyKAgHsE3o9ChLnM2hrzrrvuMkFPnYxo/C/klJQU+cQnPiFnnXWWGfdz/Mye2uXpO9/5jgl8fuxjHxPtBq8TKZ1zzjmzlrCgoGDWPOMz9Pb2mlUr0Dl+ny5nZ2ebTVY+XbGWnXiMKeyk/2kweXLQ2crypS99SQ4++GBr1XOv+j7UH1JsBTIzM2NbAI9fXf/g1R9SbAWsz5vYlsK7V3fzH7xuvmsjIyPy1ltvmZnHNRitX3ZrbyBSbASysrJic2GuagtoMJrPA5sjJgtu9qdBQUzeMlwUAQRcJBD2AOjjjz8uP/vZz0zQUsfPHJ8OPPBAE/T87Gc/K7N1Tz/22GNNHp0x/vnnn59TAHT8tWZb1g+IgYEBk226Bz4rMKOtEzQ5+RhTQP6HAAIIIIAAAgi4QEC/GNeePtazorb+XLKESbxccOsoIgIIIIAAAggg4EqBsAdAr732WhP8tDS0K9Ppp59uAp977723tXlOr1ZXhMrKyjnlDyWTtjrVVk/9/f1iBTgnH29tt2akd/Ixk8turZ9//vmiQeSpkv6hoTNAezFp0Fv/6LLusRcNYlln7e5r/fvu7u6mC3yMboaOsae/A60ARIyK4dnLaqtDazgIr/4ujvXN11aH2tqnp6fHtEKMdXm8dH0dHkl7+ejngT5n6TOJ3gdS9AW01aF+6a9jsY7vsRX9knj3itaYtzopLP8OYvM+0OdS/X3k5s9j/fc7XS/F2KhyVQQQQMBZAmEPgGr19A+64447zgQ99dX6Ay+UqusDwBVXXCHaJV4nQ4pE0i7zOr6nBmCmStb28V3jnHzMVHU4+uijp9pstmn9vPqQpQ/62vWur69vWh92RE5A/9i1AqDaElvvBSn6AvoHlwY/+XcQfXu94vihBzQQTeAh+vfB6m6qX4bxRUD0/HXG9+bmZnNBfcbS4Kd+Lkz3hW30SubNK6m9Phfp57E+f5OiL2AFQLW3GZ/J0ffXK+pnsgZA3e5PADQ27x+uigAC7hCYdwBUPxz0Q2Jy+vd//3e56aabzCD2k/eFsq5/lHzxi18M5ZCQ884WzNRvwjWN767v5GNCBuAABBBAAAEEEEAgigKtra128FMvW1FRYYJvjF0XxZvApRBAAAEEEEAAAQ8K+Odb5wMOOEA+/OEPm1aaL774ot2FVVscard3NySrnNbso5PLbG3fa6+97F1OPsYuJAsIIIAAAggg4BqB4ZFOaev6szS13S0dO58ea4UXn70TdCLJHTt22PeltLRU8vLy7HUWEEAAAQQQQAABBBCIlMC8A6BaoOeee04uu+wyWb16tQl6nnbaaXLzzTeLdm1yQ1q3bp0ppk7cNDlpS4QnnnjCbF6xYoW928nH2IVkAQEEEEAAAQQcLzA80iH/qLlI/vr6AfLm1nPlndr/J3/fcubY+v7ybv1VY18uvzcJo+MrMocC6jADOu6nlbSbpvaqISGAAAIIIIAAAgggEA2BeQdAX3nlFXnwwQflggsukGXLlklbW5vcfvvtcuaZZ4p+o69Bw0svvVSeeuopGR4ejkZdQr7GmjVrRCdY2rx5szz00EMTjr/ttttMnbRrlgZ4reTkY6wy8ooAAggggAACzhYYHGqS194+UZrb7xkr6OiEwo4GB2V786/k9Xc+ExetQXVcSQ1+WuNL6hBKixcvnlBnVhBAAAEEEEAAAQQQiKRAwrfH0nwuoBOYaODz2GOPNUHQL3zhC7LHHnuYCY+2b99uJhd69tlnTYtQnRn+hRdeMIPb5+fnTxhTcz7XnusxtbW1phVnSUmJKefk43T2V2198PTTT8szzzxjHs7r6+tFg5/33XefmaRFJ2IqLi62D3XyMXYh57igEz54ddIHnXRBJ97xav3n+BaJWLbU1FR7EiQdT5ix3yJGPeOJs7KyRFtlOfVLqhkLHwc7NQik411r8uqEdLG+jX6/X/TzQCehsoJz0SrTpi1nS+/AWzNebmi4UYZGmiU/96gZ8zl5p07uVV1dbYy1nDrhzm677Wa/99Vf74Pm0y7ypOgL6O8h/X2k/kzGFn1/vaJ+HmtiEiTDEJP/6d+2+nzq9s9j670UE0QuigACCDhcwDf2oBMMdxk1qKTBz4cfflgeeeQR+dvf/jbhEho41bFCjznmGDniiCPMHx8TMoRpRYOa3/jGN2TlypVy3XXXTXvWV199Va666qoJXfe1ZeiFF14o+++//5THOfmYKQs8xUYvzwKvY7nqH7xqQIq+gHZ9tGbAbmlpYRb46N8Cc0X9cqirq8v1M57GiG+XL6tfCGowSJMOHROBj+NdLmO8n0ADP/p5oL1YovmFWMfO/xvr6v6FOfL65MDlT0paSsUc8zsr27Zt2+zZ3TXQuXTpUhNksEqp/nofNPDT1NRkbeY1igL6e0h/HzU3N0f9i4AoVtPRl9LPY036haROFEaKvoA+l+rzaUNDQ/QvHsYrWu+lMJ6SUyGAAAJxIxCRAOhkHf0g0UCoBkQfe+wxaW9vt7OkpKTIoYceaoKh2pp0+fLl9r5oL+gfQPqgrg/j2upTH9RnS04+ZrayEwAlADrbeyRS+wmARko2tPMSAA3NK9y5CYCGWzT088UqALpl2wZpaLllzgXebdFlUlZ01pzzOyWjTng0PpijLT8zMzMnFI8A6ASOmKwQAI0J+4SLWkErAqATWKK6QgA0qtxcDAEEEIiJQGI0rqof6meOjQ2qP/oN/0svvWSCoRoQ1eU///nP5ucXv/iFGY8zGmWa6hr6x6j+hJKcfEwo9SAvAggggAACCERHYHBoe0gXCjV/SCePUObOzs4Jwc+ysrIPBD8jdGlOiwACCCCAAAIIIIDABwSiEgAdf1VtVamTCunPhg0bTGtQnYVdg6Fbt24dn5VlBBBAAAEEEEAg7gQS/Gkh1cnvTw8pf6wz69jO2qPGStqrJtQvmK1jeUUAAQQQQAABBBBAIBwCUQ+ATi50Xl6enHrqqeZn8j7WEUAAAQQQQACBeBPITN9XWjoemHO1stL3mXPeWGfUsVR1xndrTNvs7GwztFCsy8X1EUAAAQQQQAABBLwtEJYAqI7peffdd8vGjRtNdyedOOiQQw6RI8YmOJpL+shHPmIG/T777LNFf0gIIIAAAggggEC8ChTlnSi1O34ko8GBWauYnFQiC7IPnzWfEzLoMEca/BwZGTHF0TH1ysvLnVA0yoAAAggggAACCCDgcYFdDoBq9/UzzjhDdKB7K91zzz1m8bjjjpNf/vKXUlpaau2a8lVnjNdBv4888sgp97MRAQQQQAABBBCIF4HkpCKpLLtE3q3/zixV8smy8u+OTcqYMks+Z+zW4OfAwHtB3aSkJKmsrJzThJLOKD2lQAABBBBAAAEEEIhngdmnOZ+h9i+//LIcffTRdvDT5/NJamqqfcSDDz5oZnX/4x//aG9jAQEEEEAAAQQQ8LpAWdGZUll68RjD1I9ifl+q7FH5E8nL+YgrqOrr66Wnp8eUVcd71+CnBkFJCCCAAAIIIIAAAgg4QWDqp+45lEy7OZ1//vlmVvesrCz51a9+JV1dXebh99VXX5VTTjnFnEVnAf3Upz4l99577xzOShYEEEAAAQQQQMAbAouLvywH7PWIlBR8XtJT95DkpIWSmb63LFr4JTlw+ZNSlHe8KyAaGxvNpJZWYbXbu3Z/JyGAAAIIIIAAAggg4BSBeXeBf+GFF+Sll14y9bj99ttFu7tbacWKFXLnnXeaoOdpp50mg4OD8pnPfEYeeOABOeqoo6xsvCKAAAIIIIAAAp4WSE9bKkvLL3etwc6dO6W5udkuvw57pBMfkRBAAIF4EBiVUfl70hOyKelp6fQ3SXowW5aMHCgHDB4naZIVD1WkDggggIBnBOYdAH377bcN0qpVqyYEP8fLnXTSSfLII4/ICSecIPqArC1Bn3nmGdEAKQkBBBBAAAEEEEDAvQL9/f1SW1trV6CoqEgKCgrsdRYQQAABNws0+rfKDZlfkfrEtyZU4/mUu+X3aVfL6b3fk5XDx0zYxwoCCCCAgHMF5t0F/p133jG12meffWas3dq1a+W+++6T5ORk6e7uNsHSbdu2zXgMOxFAAAEEEEAAAQScK6CTV+qkR8Fg0BQyMzNTiouLnVtgSoYAAgiEINDir5MfZJ/8geCndYpeX4f8IvNL8krSn6xNvCKAAAIIOFxg3gFQfdDV1NvbO2sVjzjiCPn1r38tOkmSzhb/8Y9/3ARDZz2QDAgggAACCCCAAAKOEtBx4DX4qUFQTToBpk56REIAAQTiReDWjEuk1985fXV87+36bcbF0uubId/0Z2APAggggECUBeYdAF22bJkpqs4EHwgEZi325z73Ofnud79r8r3++uumO/zQ0NCsx5EBAQQQQAABBBBAwDkCdXV1ot3fNSUmJprgp878TkIAAQTiQWB7wtvyj6TnZ6/KWBB0wN8jz6XcOXteciCAAAIIxFxg3k+rK1euNC06t27dKj/60Y/mVJH169fLF7/4RZP30UcflVNPPXVOLUjndHIyIYAAAggggAACCERUQHvy6LjumrRnT+VYy08d5oiEAAIIxIvAO4kvhFSVzYkvhpSfzAgggAACsRGYdwBUW4B+/vOfN6W++OKL5YwzzpBnn31WOjo6ZqzJ//zP/9iTJunYoKtXrxbtSkVCAAEEEEAAAQQQcK6Azvbe2tpqF3Dx4sWSnp5ur7OAAAIIxIOAju8ZSgo1fyjnJi8CCCCAQPgE5h0A1SJol/ZFixaZ0txyyy1y6KGHyumnnz5j6RISEuSee+4xM8Nrxk2bNtld6K2B9Gc8ATsRQAABBBBAAAEEoirQ09MjjY2N9jV1wqPc3Fx7nQUEEEAgXgSyg4UhVSUrxPwhnZzMCCCAAAJhE9ilAKgGP1977TU5/vjj7QKVlZXZy9MtpKSkmCDo97//fVoOTIfEdgQQQAABBBBAwAECAwMDZtIjqygFBQVSVFRkrfKKAAIIxJXAnsMffq8+wblVay8r/9yykwsBBBBAIEYCuxQA1TLn5+fLH//4R3n33XfNTO8nnnjinKqig+Zfcskl8tZbb8kpp5wi2dnZczqOTAgggAACCCCAAALRERgZGTHBT2u4ooyMDCkpKYnOxbkKAgggEAOBotFKWTF0zNhAx7NfPHu0QNYMnjx7RnIggAACCMRcIDFcJaiqqhL9CTWVl5fLnXe+N3OeNaNoqOcgPwIIIIAAAggggEB4BXRoopqaGhkaGjIn1h48OumRTn5EQgABBOJZ4LTeK6Uu4Q1pT9guoi1Bp/i1lxBMlHN6rpMUYSzkeH4vUDcEEIgfgV1uARpOirS0tHCejnMhgAACCCCAAAIIzFNg27Zt0tfXZ47WMdw1+KmvJAQQQCDeBbKDBXLpzj/I8qEjpgx+FgWq5Kvdv5M9Rg6JdwrqhwACCMSNQNhagI4X6e3tlY0bN8qOHTvMj7Yg0LFB9We//faTrKys8dlZRgABBBBAAAEEEHCQgE541NnZaZdIg5/aApSEAAIIeEVAJ0O6oOc3Yy1B/y5vJj0jnf5GSQtmy9KRA2XP4UMlQSLyp7RXeKknAgggEHWBsP7Wfuihh+Tmm2+W+++/324xMLlG2srzhBNOkDPOOEOOPfbYybtZRwABBBBAAAEEEIihQGtrqzQ3N9sl0EkvdexPEgIIIOBFgfLA3qI/JAQQQAABdwuEpQu8Piifeuqp8rGPfUx+97vfTRv8VCod51PzaN6TTz5Z2tra3C1I6RFAAAEEEEAAgTgR0F482oPHSjrhUV5enrXKKwIIIIAAAhETqK2tNY2pXn/9ddFJ+OaS7r33Xrntttuko6NjLtnJgwACHhbY5RagdXV1smbNGmloaLAZCwoKTOvO3XbbTRYuXGgGz9+yZYvoz5tvvil6jCb9ZfX888/L//3f/8mSJUvs41lAAAEEEEAAAQQQiK7A4OCgmfTIumpOTo4UFhZaq7wigAACCCAQEYH29nbTOOqpp56yz6+TJWtg89BDD7W3TV548sknzXF77723fPazn528m3UEXC/Q3d0t2dnZph7r16+Xq666yvV1imUFdikAqq05P/GJT9jBz2XLlsmPf/xjOfroo6cdJH90dNR0k//6178uOr6UBk5POeUUee655yQ1NTWWFlwbAQQQQAABBBDwpEAgEDDBT33VpEMW6R+fJAQQQAABBCItoL1DX3jhBdljjz3k9NNPl7/97W9y9913y7/8y7/IG2+8YbZPVYZvfOMbZvPll18ufn9YOrdOdRm2IYBAnAjs0m8J/YXz6quvGopPfepTok3V9ZfXTDOE6i+ms846SzZv3iwnnXSSOVbP8c1vfjNOSKkGAggggAACCCDgHgGdrLKmpka0BaimpKQkqaqqEp/P555KUFIEEEAAAVcK6DwiGvzUVm7aO1TjAnfddZeJGQwPD8ull146Zb0efPBBk/+AAw6QT37yk1PmYSMCbhfQZzFtKKg/iYm71H7R7RRhKf+8A6A9PT1y4403mkKsXr1afvvb34bUgjMzM1Nuuukm0VlFNd1www0zjh1qMvE/BBBAAAEEEEAAgbAKbN++XXTsT036RbUGP3nIDisxJ0MAAQQQmEbggQceMHtOPPFEWbBggZ3r7LPPNsuPPfaYvc1a0C/uvvWtb5nVK664wtrMKwJxJ6BxM+15rT/a0pm0awLzDoDqeBw7d+40V7/66qtDCn5aRdZveTRwqqmrq8t802Pt4xUBBBBAAAEEEEAgsgI6FJGOvWalioqKeT3TWcfzigACCCCAQCgCW7duNdkXL1484TBrGBb9gq6pqWnCPu0er71IP/zhD5u5RybsZAUBBBCYRmDebWhffPFFc8oPfehDsnbt2mlOP/tmHdRYB9hvaWmRv/zlL3LGGWfMfhA5EEAAARcK+Bq3iX9H7Vj/0mQJVO4hkpXjwlpQZAQQiBcB/fJZn7+sVFZWJllZWdYqrwgggAACCERcwJrtPSMjY8K1dDgWK2nvU51cWZOOVb1hwwazfOWVV5rXSPxPvyDcuHGjvPXWW2aImH333Vf0R78onJx0zFIdRkZb62l8ZKr09ttvmwZkOlygdtufKtXW1ppgr9Z95cqVJotOIK1zp2jjsT333NNsa25uNt3/X3vtNVOe/fffX3QiqNnGQdWWszoUoZZ306ZNUlpaKitWrJB99tnHjP09VZl0GAJr2EOtW3p6upm/5YknnpCSkhIzrGF+fv5Uh864LRTfqU7U1tYmDz/8sD1+uU6qrT2Tly5dOlX2CdtCOba6uto8K8103/TkOhzkwMCA5Obmyu67725fT9+vr7zyilnXMW51gkl9/tLhHjSmps9deu8++tGPTjn0kM6h8/LLL5vj9X4tWrTIPvf4hWjc26GhIdGJx/Q9pF9K6KTn+p7QH7c8P847AKpjRWnSfyy7mvQf96OPPir6D56EAAIIxJtAwktPScqv/0sSqt+yqxb0J8jIwR+VwXPWS7D0gw9SdkYWEEAAgQgI9PX1if5RZSX9w3I+f8BYx/OKAAIIIIDAfASsIfE0qDc+WV/QaeDJag2q+7UnqgYlNWB0xBFHjD8kLMvay1W7Gl933XWiwb/J6eSTT5af//znphGXtU+7499///2mC7+We/KcKBqc0rJaLVn183dyi1c9l04ApY3CtG5W1/8f/ehH8pOf/MQ0OtNtOjTArbfeal3aftWGZXfccYfol5lTpS1btpjz63irk1NRUZEZ3vDjH//45F2iwUINLGp69tln5ac//am5jpXxoosukh07dsjkALa1f/LrfHzHn0OD4f/5n/9pDKyxy639GgBWwx/+8IcT7o+1fz7H6nvhN7/5jamfHj9d0snBNViqc+Lo+LRW0lncLT8d71bf5+ecc45YgX8rnwa3f/nLX8phhx1mbTKv2gLaOn66WeCjcW+157aOx6v3enLSwP+1114r55577uRdjlufdxd46x+vRv13NVnfZOi3ACQEEEAgngSS77xe0r911oTgp6nfaECSnn1EMi44XvxvboynKlMXBBBwuIB+g69fZOsfZJq0VYnVssbhRad4CCCAAAJxJrB8+XJTI21ZNj79+c9/NqvausxqDaoByW9/+9tmeyTG/tRglTbOuuaaa0zwUwODxx13nJx66qn23CX33HOPabFn9YjVwuj4pZo6OjrkpZdeMsvj/6etA634iW7X1pOTkw5Ho60CNWkwbXLSQJheR4Of2tru4IMPlgMPPNBu9amB01WrVplWiJOPvffee01LTw1+6qQ6Bx10kJlkSgOt+gygQbnjj///7J0HeBTl1sdPOoRAAgSkCIReVUAExV5QuAgXEPkQRUUUCyqoWO7F3lCx4VWxICIqFlBEVMRKU0RA6dJLaAECIZDe9tv/i+86Sbb3yf7P82ymvfU3s9mZM6f0k/vvv79i1XLbb7/9djnlJw4iDIG7yk9v+epBQBl75plnKmUtlJ84P1DagldCQoLAWnL69OnSv3//Shx8qav793X5xhtvyPXXX68U5Bg3FJpQmCLuOiyEL730UmUY6Ek/wTi3s2fPVuOG8hNxevES4KabbpLTTjtNDRWKYWzfddddngw9JGW9VoDCxBgC81dfZfv27aoJ3nz7SpL1SYAEwonACcvPZ+WEiqH8yHRu5ajc41L9sZtEjmeXL8AtEiABEggAATwcQPmpLQ+qV69ezrImAF2ySRIgARIgARJwSABWYwiJByXhf//7X4FRFLxDJ0yYoOpod3dsIAkzrOygPIIizN9y9913i9ZN3HHHHbJ7925BkqZPPvlE9QtLzPj4+EpWfBgPFIuQ+fPnVxqWtubUB+wpQGEdCHdptKMVqro8lnCDRhmMC8kLf/31V6VshfISLvAQsPvoo4/Uuv4DpeyoUaNUskNYnULRDEXo1KlTlZUp5turVy9V/LnnnlNWnrpuxSUsIWEABwtYuMW//PLLAgtQd8Vbvrp91IfrPuTmm29WHsSwvIWCDgpmbYH422+/yVNPPaWrqaUvdcs15MPGnDlz1LW+YMECZTH89NNPK2tRXDNQLMKFHtah8NJxR4J1bvG9xP0jXN7xnUAMXlirIgQDrkUdFgIKcmdWsu7MKdBlvFaAam0v4kf4KoitAUHWUQoJkAAJVBUCcHuHaGWno3lFZx+R+M+nODrM/SRAAiTgNwIIN4QbbAgsDtLS0mzWI37rhA2RAAmQAAmQgJsEYM04ZcoUZdUIpSfiHF522WUq7iKUfbA2g+C3CzE/oSAMhPUnlJQYB+Sqq65SLvBQdhrlzjvvtCnW1q1bpxSAOA5DLu2mDOVtRdH7tKLIngJUu00jPqijOI9wo4drvjHeIsLXwCpVy5dffqlX1fLhhx9WbuxwD4eLfMX8Laj/zTffCOJTQjBHKLscCZSgt9xyi7IoHTNmjFx00UWOipbb7wtfNATDO1h3QtAnrCmrVaumtvEHsTXh+q7D+cBlW3u6+FLX1oGfVsCvovIe83nmmWdUD3v27LHN01WXwTi3mZmZyjoVY8H3saK1L76v+F7CAhfXrY536mrsoTruswIUJ0gHZfVmEtAa6zgCOtCvN+2wDgmQAAmEE4Go/emV3d6dDDD218pvi50U5yESIAES8JgA3tLD/QyCB8g0q/JTuxV63BgrkAAJkAAJkICfCMBlGUZRDz74oLJ+hKIFVnFQ9ml5/fXXlbXZ4MGDlfJN74fVJKxHoVSEm7O3ohWQiN+JuI+O5Pbbb7fF2TTG4tRWm7CuPHr0qK06FLeLFy9W29rFHDoUoyctvDKQ0Adiz/1dHbD+uffee/VquSV+z+HKDtGxU7EONrDKg/Tp00d69uyp1iv+wQtRKD4hOA9Q7toTKEnhpu2N+MoX1pNajFbBeh+WUILCOhXXESxAEfIH4ktd1YCf/kBJjvNgT+AaD2UixB39WrDOLa4rrfSE5SdCNVSUq6++Wlmtwo2/ooK9YtlQb3utAEXcCH3TDDNdewGCXU0O/wwQpBaCtxh63VU9HicBEiCBcCcQvX+XR0NU2eE9qsHCJEACJOA+AbiGGR8MYYWCTK4UEiABEiABEggHAsjeDcvOL774Qik+jYo2uNXCQg7Kyccee8w2XFgVwn0e3qkXX3yxpKamqtiW3rjhIrESBMpEZ5nEYXWIhEMQKDG1lSGUuBAopnT8UmxD+Qm9BywTkcBIWy0arUDhzg53ZogzBShckB0Jxg0x6mWQbEknCgIj9OHoY8xcblTOqkb//tO6dWvjpkfrvvLV8VFhyYr4p47kyiuvVNcRlHKwSoT4UtdRP97sN17TFevD2lgbBCK8gCsJ1rnFuLSVL5Jg4TrBdfzpp5/arlm8VMd5MYN4PUrEj9Cad7xxue+++2zxpNyZON5y4O2JjuEwYsQI21sLd+qzDAmQAAmENYG48i4zzsaqYoTGnfiBdlaOx0iABEjAGwLIuGpMvoD4XdpSxJv2WIcESIAESIAEgkkAsSZh2QilVvv27VXXSDaEBDJQ6A0aNEjGjx+vlJdwMf6///s/j4dnVNC5qqxD9yFWI2IiQpCsSedJ0S7v2K/jf1544YVKIYekQRCjAhRxRiFQMOqkUGpHhT9NmzatsOefTcT0hhjd1zdv3mwrgHiTderUcfjRcUBRwZEC1Jli2NaRgxVf+WZkZKiWGzRoYDPEc9BVpd2+1K3UmA87dAgER03o8wsdmY7V7qhsMM8tQkPAABKCl+nvvvuu+o7h5QNeBiB2rP4eOBpvuOz3WgGKCTzwwAO2+AX4p9S5c+dyX2RHk8SXHW8gEMQYgi854gZQSIAESKCqEChNayuWqGi7CZAqzjHKuqO0ZYeKu7lNAiRAAj4TyM/PF1gJaMHNKj4UEiABEiABEjADASg4kZUd3qfaAAvjhrUolERIfIMYmNAnIPkN3HUR09JohelqnrDiRAIhiDu/kVAkajF6V2g3eGMiJK0MhYUqBJnXIUhGpK1HtQJU11cF7PzR1qN2DtndBVd7b8SRMgsWtt6IP/jqED5G9u6OxZe67vbhTjlXSb/1y2lY7RpfXNtrO5jntn79+up6RVgBHSsWY4K1M6xCEdoBynHEZQ13ifVlgDBBRyBaxDLAPyZoqvHF7tatm3p7gTcjMNNOSUlR2dQ2bdqkyuAfkxZ8iRCo1xjIVx/jkgRIgARMS6BmipScdYnE/fqdW1Mo7jXYrXIsRAIkQALuEsCDITK+a2uQpKQklb3V3fosRwIkQAIkQAKhJoDENoipiazf2gUcv29QckIQjk8LFExwRUcmdMTU1EpHfdzREi68sL5DRnTEy3YlRuWTUSmIvl988UWVnRwWetCDwFsWohWfWP7nP/9RFq2ItQmFrbaOdOb+7mpM9o4bkylBb+Nu+xWTP9lr25N9/uCL87N27VrR1pye9O9LXd2PvpfS2xWXeOHsSlwpNY3XnitFfLDPLcImIRs8Ptu2bVPfLyj6YdyYm5ur4q3eeuut6p7ztttuc4UiZMd9UoBi1DDThmITWl+Ym0O7j6Ct7gRu7d27twrKazx5ISPBjkmABEjAzwQKb/yvxK5aKlF5J5KOOGq+pNMZUnLxQEeHuZ8ESIAEPCaA+7EdO3bYYoHBasSV65XHnbACCZAACZAACQSQwMGDB2XSpEnKdRyJbbTs2rVLWZ9hW7sN62P6tw7KTE8Eeg3UwYtDV6LLQLFnVFTBHRgWikgUA+UQLOfwe4wxavfxrl27Su3atZUBGaxUdexEKG+dxbZ0NSZ7x40xO6GzCaXRma98NT9kJUdMVUfWsLg2oOyFshwKcLjM+1JXnx9jbNWKrHGOYRDoShxZ1up62mMHoYpcKaFDeW4R6mH06NHqg3MBb3Ao9SEzZ86UcFaA+uQCr08UvvRTp04VBO8988wzVXBifaziEhcQgqjircy8efOEys+KhLhNAiRQVQhYGjWTvCfflbLkf9xkMDcV8/PvSUL5mf/wm2L9x1lVps15kAAJhAEBPABoawR47KRZkyNgSSEBEiABEiABsxCYMGGCsi675ZZbyukNdHZvzAPeDUbRiiPEv/ZEtGsvlFRw63UkUMpq93roPoyKOPzO9u3bV1WFAnTBggVq3WiJqvUhOIB2tPt7v379bMpQVckPf/Dbr8eHLOzOrBihuEKYQrjhL1myxA+9l2/CV77GJE3QIzkSZHx/+OGHVYJtWA5DfKmrY6vC6jg7O9tut6tXr7Ylm7Jb4O+dOAeOBNed9pRGbFtXEqxzO3fuXBVrFwplbc1sHBuuL4TGhBc45Pfff7eFdjCWC5d1vyhA9WTwDwAZthAMeMOGDTJ79mx59tlnZdy4ccoUHJmicGLxRR86dKiuxiUJkAAJVFkCZR1Ol9wpP0rh0NFS2rSVWGLjRKonSUmn7pJ/93OS/+xHIrVqV9n5c2IkQALBJ4A4ZvrBD9YpCEmkHwiDPxr2SAIkQAIkQAKeE4Cb+eTJk5WLuLYu061oK09sQyFpFCRLgmh3eeMxZ+t33HGH7bcSCh0ovOwJstDD5RdiL9mSzgYP5adOgKTd33V7ehtlFi5cqHa7656u23BnCWXrmDFjVNFVq1Ypnvbq5eTkKKUhFFyIWdquXTt7xXza5yvfq666SurWravGgPiviD9ZUfDiV8ehxBz0PHypa7zWcD1WFPQJ1293BF7SUNDak8cff1y5keMYkn25kmCdW8QlhcIZXkXGGLwVxwcrWAismHHvGa7iVwWoniRuspGdDV9iZIefOHGi3HXXXXLllVdKo0aNdDEuSYAESCAyCFjjgRZdP07y3vpecr7aLDmz10r+859IyaVX0vIzMq4AzpIEgkYAD3764Q+dNmnSRBC3iUICJEACJEACZiIAJReSwUBxVjF5DH7XdCZ2rUDUc9PbnTp10rvcWsJN+p577lFlYQEJr1XEOtQCt/brr79eXn/9dbULCaBhmVpRLrvsMqVIhZJU10dbRtEKUCgeYc0KK1a9z1jOH+sIHdC4cWPVFJSh48ePtylwwRfKLVgcbty4UZWB+7Ixrqk/xoA2fOWLsAFQEkL+/PNPQdZ67TKOffv27VP6Jh1PFYpqLb7UheGe9qBBmx988IFydwc7xL+EzguWmwkJCbo7p8thw4bJhx9+aFPgIkET4tsi0zpk8ODBcuGFFzptQx8Mxrk999xzBS7vkC+++EJeffVVW3gl7MML97Fjx8rKlSux6XacWVU4BH8CogANwTzYJQmQAAmQAAmQAAlENAE8SOkstgCBBx4kYKCQAAmQAAmQgJkIQHGIEHvJycly77332h06cpBAYJUGhSUUlA899JDyRMXvnzE5kt0G7OyEchAKKMjixYuV0g4GXFDewfrwvffeU8c6duyoMs/bU3ohzqZRgYWyiENpFLRntCxEbhR7bRnreLsO5erHH3+sXojCavLpp58WWPXBOhKKTig/MVfIoEGD5LnnnvO2K5f1fOULReGIESNUPz///LNiiPiqcHHHC1/tYo5rZsiQIeXG421dtIu6EMS7HD58uIrtCqUqQhvAYhbHsd+VIMQAFN7XXHONuj/r0KGDWr711luqas+ePW0WrK7awvFgnFtYmkLxqePH4oUE5o4XDLiG8HICcXoh4KBZqR1h+MdvClDEk4DL+/Lly51OE9nazj//fBUDFFpzCgmQAAmQAAmQAAmQgG8EcFOukzKgJdycalcx31pmbRIgARIgARIILoFHH31UuaDffffdKqmQvd6h4Bw4cKDK2g4rNfzmPfnkk6o8kjN74/2AjOyIhYl8JdrCFC8WtSUnFJmwukOcQ2cu9oijqcWRZadxfyDc33X/WCI5EzLO33TTTUr5Cd0NkiLhxSkEc3377bflk08+sVk7qgN+/uMrX1hiQjEOvZPmjxCLW7ZsUfFNYakIZZ09Ja4vdV977TUVPkAnvEJ4BLi+I58NrFLhdq+tRJ0hQ3gEhEXAOMEe1qo4F0ichesKoSI9vXcLxrmFshNWrgglAIUorJvXr1+vriEodOH9DQb4xMVZw72FsURZffWN+Ti8GiriGCDO59atW5XLO+J+OhJo459//nl1GFnRZsyYoTTnjspzf+AIwNxa/9MLXC/h2TKuPfzTAgNK8AnAIkkHlIarpqMYO8EfWWT1iAyDCOaNuM2U4BPADY6Oy5iRkRHWAcODTyc4PeJmFb8Hhw8ftsVdCk7P/u0F/0NxD6aTQuChDzfX4RyDSRMAf5wHPAAcOHBA7+YyiATwfwj/jxBHz15MtSAOJWK7wu8xBFmGkeGYEnwCuC/F/anRij74o/C9R30t+d5S6FrAswEsEWNjY+XLL7+0WZ45GhFckn/44Qf13enSpYuMGjVKWQM6Ku/Jftwnr127Vt0vw2ITFm8Yl9kFSkMosJDABopEKPKg2Aq2+MoXSY5wfvASGEo4TxJse1sXSSaR7wb9IRGRK0E/eCkNgYWyduPfu3evIC4rlOqwBNXPxq7ac3U80OcWLu9ggPADmBesWqHYNov4rACFBh5vEnDjCoHZrrOsaZdffrnNNBnloSHG24brrrsOm5QgEqAClArQIF5u5bqiArQcjpBtUAEaMvSqYypAQ8sfvVcFBSjeY8MyRb/IgDKrdevWblkihP4MiFJAUwEa2jNBBWho+aN3rbSiAjR054IK0NCxZ88kUJUJOFKAVuU5h/PcfFLzw/LzxhtvVMpPWBn07dtXxZRwNuG5c+eqTGc6tgZ+6K+3BhOGuS+FBEiABEiABEiABEjAfQJ406+Vn1Akwo0NSwoJkAAJkAAJkAAJkAAJkMA/BLxWgMLiE0FsYXkAK06Ynn/11Vcqvuc/zVdeg6L0vPPOU7E1ECxV36Q/8MADdP+rjIt7SIAESIAESIAESMAuAWQ8hWWBFrjnBSqJgu6DSxIgARIgARIgARIgARIwIwGvFaAIPIu4EZAXX3xRhg0b5vH877zzTsEHsmLFCoF1KIUESIAESIAESIAESMA5gaysrHKxAhH3CtlAKSRAAiRAAiRAAiRAAiRAApUJeK0AXbJkiWqtUaNGKtBw5abd24NAsMnJyaqws9ih7rXGUiRAAiRAAiRAAiRQtQnA5X3Pnj22SSJ+IDKIUkiABEiABEiABEiABMKHAJJLdezYUX2Q+JESWgJepzBDtlFIjx49bFlsvZkKMkd169ZNxQDdvHmzN02wDgmQAAmQAAmQAAlEBAFket+xY4ctbBBeIterVy8i5s5JkgAJkAAJkAAJkICZCNSqVUvWrVtnpiFX6bF6bQGKtPcQxJvyVdq2baua2L59u69NsT4JkAAJkAAJkAAJVEkCpaWlSvmJJQRZi5s2bVol58pJkQAJkAAJkAAJkAAJkIA/CXitAIXlJgQxqHyVkpIS1QS04xQSIAESIAESIAESIIHKBHbt2iWFhYXqABJQIuM7kktSSIAESIAESIAESIAESIAEnBPw2gVeW376w2pTu9MjgD+FBEiABEiABEiABEigPAHE/MzJyVE7EU8qLS1NYmO9vo0r3zi3SIAESIAESCCMCPzwww9y4MABGTRokPJ2cDU0GGXt3LlT4KVao0YNadmypfKQiImJcVWVx4NIoKysTL3IhQeLt5Kfn+/WNeGs/eLiYjl69KhKHuntWFAfHjl169a121Vubq588cUX0qBBA7n44ovtluHO4BPw2gK0c+fOarS//fab7N692+uR7927VxYtWqTq42aeQgIkQAIkQAIkQAIk8A+BjIwMOXLkiG0HXkJ7e8Nua4QrJEACJEACJBCGBJYvXy69e/eW6dOnO/2tKygoUGXOO+88lQiwa9euMmDAAOnVq5e0aNFCKUJvu+02n3QVYYjHdENCnpdrrrlGOnToIImJieq84D7msssuk7lz57o1nwULFsgll1yilI1oA+d3+PDhMnPmTLfqVyx0yy23CBISTZkypeIht7YxJySgbNOmjcPyUMS/88476lr+448/HJbjgeAS8FoBevXVVwvcr6A9f/rpp70eNepqF/ghQ4Z43Q4rkgAJkAAJkAAJkEBVI5CdnS0HDx60Tatx48ZSs2ZN2zZXSIAESIAESKCqEIBuYeTIkWo6L7zwgsNpbdy4USVSvu6662Tx4sV2yyFkzOTJk6VVq1by5ptv2i3DnYEl8Oijj6rs5x9++KH89ddfyvrTYrEoS93vvvtO+vfvrz7aw8XeaO677z658MILVdJs/TIYySA/+OADgf7oscces1fN4b4ZM2bI1KlTHR53deD48eMybNgwgQLelbz44osCq1dc01rn5aoOjweWgNcKUGjMYZIOeeONN+Tll1/2eKSo9/rrr6t6Z599tnTp0sXjNliBBEiABEiABEiABKoigby8PPWQoOeGey9Hrla6DJckQAIkQAIkYFYCEyZMkLVr18q1114rnTp1sjsNuMefccYZsn79enW8Y8eOytIOVnZQkMENHmWgHEOc7KKiIrn11luVwsxug9wZEAKwzoRyEoo/vLydNm2aUoLi/Hz99dfSvXt31S+sQMeMGWN3DFBgT5w4UR3r0aOHfPXVV8qiF3UuuOACtR9K1kceecRu/Yo7P/74Y4HS3FuB2/u//vUvWblypVtNwGsaytJVq1bJc88951YdFgosgSirBt7ibReIywGl5f79+1UTV111leACdGYKjIKbNm2S8ePHy2effabqwY3rxx9/lLPOOktt809wCODthbO3LcEZRWh6wUMk4oeAASX4BFJSUmwuLYcOHeIbseCfAtUjXDdgXQYlCyX4BKDIio+PVx3DxdmHn+PgD76K9IjYYPg9OHz4sHpACqdpwQpmy5Yttv+PsPpE0qOqJuCP8wALCdxXUoJPAP+H8P8IlsaIZ0YJPgH8HkPwvc/MzAz+ANijui/F/al+rjUrEn0tmXH8CKsHa038HkBfADfnioLnhlNOOcX2ewGl0rhx4xwmBEQMxsGDB6v/bYibDaWpK11FxT657TkBWEci9iWeM6D8hFJbJ9HWreE89+nTR2AJCoGb+/nnn68PC2JoNm3aVCm1oSf6/vvvlfu8LgALXxjkffPNN8q1HrHSK/ahy+I+D0pWWKIa5ZVXXpE77rjDuMvhOq4lhFQw/o+oU6eOuod0WMl6AO7ycP/H9Yf8OY0aNXJWnMcCTMBrC1CM66STThJo0atVq6aG+dFHH0m7du3UP6vLL79cYK4M8+JJkybJqFGjBFaeuChRRis/cdOLNqj8DPCZZvMkQAIkQAIkQAKmIICHAiRz0O5SuM/SySdNMQEOkgRIgARIgAQ8JACdAaw1EevRnvITzcGSU78se+qpp+Tee+91qPxEecQEffLJJ7GqflNfeukltc4/gSWwdOlSpfxELzhP9hSTSOho9CKGAtQo0CNpl3couhFT0ygJCQny1ltvKWMCGHPAwtSefPrpp0oBqZWfnuadwcvB//u//5OBAwcq5SfCQHqixITCHS78UNhC4UoJLYFYX7tH0GEEKkZM0DVr1igLFsRkwAemzc4EJsGvvvqqUow6K8djJEACJEACJEACJBApBHbt2qW8FDBfWAzA8hMPChQSIAESIAESqIoEjh07Jm+//baamqO8IEiePHv2bFUGSiwoP90RWPhBgYZM8fPmzVOxG7UBl7E+PHHgebF69WplKQolF/QVsDh1lHgQVvPaHbp9+/YqRjdeXkIvAiUg5oXkTKeffrqkpqYau6u0jr5///132bZtmzIwg9UgPrgHgCt/RYGyGK7VEFhKwuLSnsD6EW1CEC6goiIR+z3tG3WcycKFC22HnRm6wTAObOGZCWZG0ZahmNc555xjPGRbh3Up2kd/CK9411132Y5hZf78+Up5iXUwxPERI0aoc4p97si///1vQeJvSMuWLQVGf1CkY+muwAoZYRkQi/bBBx9U2efdrcty/iXgswIUw0F8DnxZkeUKwWjxZXckcLOBaTPc5RHbAxagFBIgARIgARIgARIgARE84OnwLLhZT7M+5MHagEICJEACJEACVZUALPmgLMTvHaw27Qm8RuEhAUEWb3d/G6HwQ+xIhPpo27atvaZl69atKlP5smXLKh1HqBboOeDhWlHwe43YlJCff/5ZjQkKMygdjQKFq/aKNe7HOsrecMMNKiO6vXBIF198sUyzWjeefPLJ5arCFVv3jTiZCAVgT2CUpuNeQmeD+KlavO1b13e0fOihh5QHMO5pENbAkcDCE8pPSMXwDVrp2LNnT0fV1X6tAIWrOdqDW7oWWF1CMGck34Z1Mcp5ImgD1xCsjx9++GGvElHCenT06NGCGKLIPD927FhPhsCyfiTgFwUoxgMTZMREwAduW+vWrZN9+/apD5SeuKDxFgUXaK1atfw4BTZFAiRAAiRAAiRAAuYnADcr40MTLDoSExPNPzHOgARIgARIgAScEEDCHAiUffbcpXEMsR61nHrqqXrVraUzJdrnn3+uDLMQcxIvHqEsg6UkYpJCYYjf5n79+qnwfs8++6zD/qBofO2115RCD0o/vMCEhSbi+iIm5s0336yOGRP+YD/a1gZkUGjCKhKKVeRIQQxNLDFfJHlCm/6SQPYNIzfofly5imuLXszJqJhFbHwdD9lROATNwcgEmeYRdlELwgfB6rd37956l8dLKC6Rrb5evXoe19UVoESH5zSU5LjWqQDVZIK/9JsC1Dh0XITGC9F4jOskQAIkQAIkQAIkQALlCeBhBzf8WvDiODk5WW9ySQIkQAIkQAJVkgCUfNqN3Ki8qjhZJLnRAtdwfwjc4pGrBMrPJk2ayPvvv18uEQ9eSsJzFQl44EYPRZijMT7//PNKB/Luu+/aMpTDovO9995TbtcYL6xA4ZKvw9rMmTPHpvx8/fXXlZWhnhdc6V988UW5//77lfs+2kVWdX9JKPvGHGDxC0tRCBKQGZWUOC9aXClRja7/UFYb5bTTThN8fJGRI0f6Ut1W99xzz1UKUISPRCLqpKQk2zGuBI8AA0oFjzV7IgESIAESIAESIIFKBGCFgbifWhAnzBdLA90OlyRAAiRAAiQQ7gQWLVqksrRjnFBCOhK4U0PgjgwPCX8IXJqh5IRCEi72xizkaB9u87A81a7zd955p80N317/RuUnjsOi9Prrr7e5oCNPCjKia1m8eLFahds2FLFGQQzwu+++W/UNC0JPXbeNbdlbD2XfiF+KDO76xS8Uw0iwrQXKUS2O4q/aOw5FdriKvraLi4tFsw/XsVblcVEBWpXPLudGAiRAAiRAAiQQ1gRg4YEHIh3XDA92rqwdwnpCHBwJkAAJkAAJeEAASYe0aCWR3tZLJBvSyi28IIRi0VdBmzrxUp8+fcSRmzwUkVB8QuCGjlB/9gQu3BdccIG9Q+WsEA8dOmQro+NeInblrFmzbPv1Cvpev369ynzvSdIdXd/ZMlR9477nmmuuUa79GB+sapEbxig6Fjr22UtYZSyLUIxadDxRvR1OS6PSvmLCp3AaZ1UfCxWgVf0Mc34kQAIkQAIkQAJhSQCucVB+whoAgpv4NGsYIQoJkAAJkAAJRAoBo0LQqCQyzh8xJXVyG8TmhOeEr5Keni46SQ7cpOF27ejTpk0bW3fImG5PnMWqNP626998tAHFq5ahQ4cq9/oJEyYoRatOiBSopNGh6Buu31B46piviIs5Y8YMjcC2RA4ZLUZeep9xaTzuylrUWC/Y60blfkVX/WCPJZL7owI0ks8+504CJBBxBEpzMyR/0yzJ/eN/cmjZa1J44J+37hEHgxMmgRATwMOXtlbAA07z5s0lUA86IZ4quycBEiABEiABuwSMCtCKmc6NFXSsR1hubty40XjIq3WjSzkyhEPB6ujTq1cvWx+OFKCOlLeoaFTMaY8P7O/atauyQoWlJ+TXX3+V//73v3L66acrb5ARI0bIt99+K7Ca9LcEu2+4uyPEAJISQZCRHeEF4PlSUYzxMV0pu43HwznZtlEBarzmK86d24ElQAVoYPmydRIgARIICwJlxblybNEDcnjG2XJ84b2Su+JF2fftPbL/o0vlyOwBUnL4r7AYJwdBApFCYP/+/Sq7K+YovGHQAABAAElEQVQLVz4oP40WD5HCgfMkARIgARKIbALa3blmzZpO3Z2RHV3Lhg0b9KpbS8QPhSu5tqpEJWNSJbca+bsQLFDtiStXbXt1sO/GG2+UBQsWyJVXXllu/lAYTps2TVmJIoHOvn37HDXh9f5g9Y3zdeaZZyrLVgwWLu+OlJ84rq19sY7wAM4EMVy1hHPySCh1tSIclrCU0BCgAjQ03NkrCZAACQSNAJSfR+f+nxRs/ETEUlap35JDq+XInCuk+OCflY5xBwmQgP8JZGZmivHtPyxeEhMT/d8RWyQBEiABEiCBMCeABD8QKIWcWTpefvnltplAmemJTJw4UTp16qQS7UDxBjFam06fPl1lJUfyHVcfZGb3tyCz/KeffqqUfbD4vOuuu6R9+/a2bn777TdBjFGju7ftoHXFaFVq3I917WlScb/e9rVv3Y6jJZS76EMne3zwwQflvffek7i4OEdVVJIrrSyEt4wzMR5v1aqVs6IhPYbET/pcMNFl6E4FFaChY8+eSYAESCAoBHKWPiUlmS5uFEvyJfv70WIp8T2mUlAmxU5IwKQEkMTBaMWBhEe1a9c26Ww4bBIgARIgARLwjYB2bYd1pjNrPyhAka0d8sknnwgUSu4IXOaR4R0C5Wb37t3VeuvWrdUSfzZt2iSwQHXnY0y6Y2vATytQ+l122WUCJSusJqHo7dChg2od9w5wkdeiWWDbkWIUx4wWkth2JJ707aiNivt//PFHZcF69OhRpfCEResTTzxRsVilbcytY8eOav+ffzo30NDHGzduLPiEq+DltxadgEpvcxk8AlSABo81eyIBEiCBoBMozTsoBZuslp9uSFnufinY/JkbJVmEBEjAGwJItrBz505b1ZSUFElNTbVtc4UESIAESIAEIo2AURlkVBJV5ACrueuuu07t3rZtmzz//PMVi9jdfuihh1QWdRy84oorbL+7SEyk3da//vprp1aUSNqDREn//ve/ZcmSJXb78XQnFLOI8QmFbMUs6LotKD+fffZZvSnLli2zrWsLSexwxu3333+31dErvvat23G2XLt2rUp4hBidiPMJxvr8Oaunj/3rX/9Sq6tXry734lgfxxIWlbAwhSBMQDiL8RwZr/lwHnNVHJvXClC8kZg1a5Z89hkflqvihcE5kQAJVA0CRXusN2l23N4dza5wz0JHh7ifBEjABwJ42EDGdywhcHk3BsT3oWlWJQESIAESIAHTEtAWjpjAmjVrnM7jmWeeER3nEa7U2HYmb775piCrOgQKw/vuu89WHFaGY8aMUdurVq2SyZMn244ZV+Ca//DDD6uxfffdd2KMRWos5+k6kh7ipejy5cvlgw8+EIzBnhjjlvbs2dNWpG7duqKTBcHCFVaWFQW6mrlz51bcrRIu+tJ3pQYr7MCYb731VsnLy1NWuxiHMZFUheJ2N4cOHapipMO9f/z48XbL4PxnZWWpY7fffrvdMuGy03htG6/5cBlfpIzDawUo3oIgUC8uTAoJkAAJkEB4EijLO+DRwMpyPSvvUeMsTAIRSgAPAlB+anc9JDuC5QmSH1FIgARIgARIIJIJwHJPZ+/+5ZdfnKJAvNB33nlHuVPjt/U///mPyqQ+depU5TIOF3dkiIfCDXEnb7nlFtUelJ0zZsxQVpzGDqBE1W7TUIZC0YZQNRB4bSBjOSwRddb52267zWZBamzH2/Xrr79eVcVcMNa//iqflBTWpqNHj1ZlYAFrVIDiHmLYsGHqGBImwbpy5cqVKtET4m2+9tprcs011ziMtelL36pTJ3/g6q7PJWKZYlxPP/2008/7779frkXUg4UsBO2BD84vBJafjz/+uPpgGxnlcb7DWTQPJHgynsdwHnNVHFtsVZwU50QCJEACJHCCQHR8LY9QRMXX9Kg8C5MACbgmgEyzsIKA4CEMys/YWN6CuSbHEiRAAiRAAlWdAJLh9O7dWyUBcse9HG7sSGQ0aNAgQQZ5xIAcOXKkQ0yI6/nSSy/JgAEDKpWBBSWsJ6FIRHZ3KOlgVYj4oMgcb8zWjf6ee+65Sm34sgNKS7hwQ8EH93bEvURscCh6EfPzwIEThglwmZ49e7YtBqruc+zYsUrZizifX375pfpgvuACQTvvvvuu9O3bV1exLX3t29aQnRWjZS7imDqy4DRWhQJz+PDhxl3ywgsvqPPy/fffC6x5ofxu27atbN26VSmoUbhNmza2GK/lKofZhr62+/Tpoyxww2x4ETMcry1AI4YQJ0oCJEACJiYQd1JXj0Yfd1I3j8qzMAmQgHMCeIDR7lkoCeWnjjnmvCaPkgAJkAAJkEBkEOjfv7+aKNyEYc3oSmDxhzigTz75ZLls7sZ6iDsJq06Uc6YgPeecc2TdunVy0003KUtUuFwjKZJWfjZv3lzefvttlXgJbuv+lrfeeku53+P+AJagULxCqQvlJ2KF9+vXT1asWCE9evSo1DWsJOE6D/dy/WIVyk94msCyFkq3rl0dPwv40nelwfy9A9aZUFD6QzB/WOHC0hehD0pKSlRiKFjnYr4333yzLFq0SBAOIJwF5xSKYIi+1sN5vFV5bFHWL5nFmwk+9thj8uijj6oLz1nWMW/aZp3gEMA/R/2PPTg9hk8veBuGf8767Vj4jCwyRoIfMx24+9ChQ+rHLDJmHppZZn15pRRnrHDdeXS81B36k8QkhWcGRcvRvWLJ3GE1oYuVqPqtJCrJ3MljcLOGG1QIbva9/Dl2fV5ZwiEBPMjg9wCWE9o93WFhLw4gHld6erqtJtzswv0m3TbYIK2AP84DHji1pUuQumY3fxPA/yFclwcPHrTFqCWc4BLQCTHwTGVMlBHcUUR2b7gvxf3p/v37TQ1CX0tmmwSey6BoxO8ArAfvv/9+t6eA+yfUgwUnPC6gKINVIH5zvQk1g3agrMLLyhYtWigFK7w3Ai34HcT4cd+A+wdYg4KJuwKGUIZCSXjGGWd49LLV177dHaMv5XCeoczGuTnppJOUJWjt2rV9aTJodZ966inR4RYwh4SEhKD1zY7KE6D/VXke3CIBEiCBKkeg5rkTJOuLAWIpPhHTyNEEk878T1gqP8u2/yal858Ry57VhqFHSVTrcyWmz3iJPqmNYT9XSSA8CMDlHQ9RWho0aEDlp4bBJQmQAAmQAAkYCEABfc8996gkRYjn6YkCFEpO/MbiA8Wfr4IEhaFIUggla9OmTdXHmzmA4VlnneVNVeVa70vfXnXqYSWc51atWqmPh1VDWhyKW1zTkHvvvZfKz5CeDasdTYj7Z/ckQAIkQAIBJhBbu5Wk9PtYomuebL8nq+VnUs9HJbHT9faPh3Bv6e8fSsk7wyooPzEgi1i2LJKS1/8tZdYlhQTCiQCsSZFdVVv1IrkDLB0pJEACJEACJEAC9gkgazis0Tdv3iwLFy60X4h7ScBkBH766SfZvn27ug8cNWqUyUZf9YbrswWoUaPtK54uXboIPhQSIAESIAH/EohL7SR1h/wgBVvmSNGehVKas1+q16wnMfU7S0zzAVbLz4b+7dAPrZXtWimlXz5sbclJpJaSAimZcZvEjf1eopLDbw5+wMAmTEagtLRUKT/hggaBRQasKigkQAIkQAIkQAKOCSAh0UMPPSRI7PPII4/IAmtyIAoJmJ0ArmUIwkfinpASWgI+K0Bxo+8sqLAn08NFQQWoJ8RYlgTCk4ClOF/y178vRdvnSenRnSIxcRJbt71Ua3uFxLfqF56DjoBRRcUkSPV2Q9QH00WcqOzsbFt26nBDUPr981bdZ5nrYRXlSumC1yT230+6LssSJBBgArt27ZKCggLVCzLbIqlBMGKHBXhabJ4ESIAESIAEAk7gjjvuUFnNYQH69ddf281eHvBBsAMS8BOBL774Qn755Re56KKL5JZbbvFTq2zGFwJ0gfeFHuuSAAlUIlByeKNkfdxL8pZOkJIDq8RSeFQseYekePciOf7DGDn25TApzc+qVI87SMBIwJJnvW52LDPucrpetmG+0+M8SALBIIDkBTq5IJSeUH5CCUohARIgARIgARJwTQC/ne+++64ggzvigMLYikICZiSAaxfZ62HZ/M4773iVkMuM8w73MftsAYrMnW+88YZf5tm1a1e/tMNGSIAEQkOgNPeAZM8dLpb8TIcDKN73m+yfdbW0uvEHiYqOcViOByKbgCULyWOcuL5XxJOTKZaifImKp2tJRTTcDg6BjIwMOXLkiK0zuL3T1cmGgyskQAIkQAIk4BaBli1byoYNG+TYsWMqozn0DRQSMBsBhEKaOXOmIA48QyGFz9nzWQGKbFw33nhj+MyIIyEBEggZgbxlE50qP/XACvYslaw/35M6p9+gd3FJAuUJxCaU33ZnK8bnnzR3emEZEqhEAA9pBw8etO1v1KiRuuG17eAKCZAACZAACZCA2wSoMHIbFQuGKYGEhATp1KlTmI4ucodFF/jIPfecOQn4lQDifhZunet2m1l/vOd2WRaMPAJRdZuJxCe6PfGo+m0kyhprlkICwSaQn58viPupBdneU1NT9SaXJEACJEACJEACJEACJEACYUCACtAwOAkcAglUBQIlWVtESovcnkr+vj/dLsuCkUcgymoBGn2q+wmzok+/MvIgccYhJ1BcXKwyvlssJ8I11KxZUxo0aBDycXEAJEACJEACJEACJEACJEAC5QlQAVqeB7dIgAS8JVByIuuxu9UtVmWppYyBzd3lFYnlYi65RyTJtSVdVMP2En3m8EhExDmHkEBZWZlSfkIJCqlWrZo0a2a1XKaQAAmQAAmQAAmQAAmQAAmEHQEqQMPulHBAJGBOAtG1mng08LjkpkyC5BGxyCscVbOexI6YLpLc0OHkoxp1lNhr3xVYjFJIIJgE0tPTBe7vkNjYWJXxHdlrKSRAAiRAAiRAAiRAAiRAAuFHgBkjwu+ccEQkYEoCMUkNJbZeJyk5tM6t8ddqf7lb5VgosglEN2gvcWO+k7Jfp0nZum/EkrldJDpWohq0lejOgyS62xDG/ozsSyQks9+3b5/KTovOkQwyLS1N4uPjQzIWdkoCJEACJEACJEACJEACJOCagNcK0KFDh0rnzp3Vjb/rbliCBEggEggkdh8nx76+3uVUo+KTpN4541yWYwESAIGohCSJufB29SEREgg1AWR7z8zMtA0DmWoTE91P2GWryBUSIAESIAESIAESIAESIIGgEfBaAdq2bVvBh0ICJEACmkB80/Mlsce9krdsot5VeRlTTRoMnCZxtRpVPsY9JEACJBDGBI4fPy4ZGRm2ESLhUXJysm2bKyRAAiRAAiRAAiRAAiRAAuFJgMGqwvO8cFQkYFoCiV1vk5q935KYlBaV5hDX+CxJueJzqdHi4krHuIMESIAEwplAQUGB7Nq1yzbE1NRUqV+/vm2bKyRAAiRAAiRAAiRAAiRAAuFLwGsL0PCdEkdGAiQQagIJzXsJPiVHNktp9k5rsqM4ianbThAnlEICJEACZiNQUlKiMr4j8zukRo0a0rAh/5+Z7TxyvCRAAiRAAiRAAiRAApFLgArQyD33nDkJBJxAbJ02gg+FBEiABMxKwGKxyI4dO6SoqEhNISEhQSU9QvIjCgmQAAmQAAmQgJcEso+J5YefvKwcwmrVq0vUvy4L4QDYNQmQgLcEqAD1lhzrkQAJkAAJkIAJCZQWZkn21mmSt/8nKcnbL9GxNaRa3c5Ss8XVUr1edxPOKLBDTk9Pl/z8fNVJTEyMUn5iSSEBEiABEiABEvCBwI6dUjp4qA8NhKZqVOPGErNnW2g6Z68kQAI+EaAC1Cd8rEwCJEACJEAC5iGQd2CxHFx6u5QVH7MNuqzwsOTkpktO+pdWJegwSe3ymDVsBW8PAAgJj7Kzs22s0tLSBBagFBIgARIgARIgARIgARIgAXMR4BOOuc4XR0sCJEACJEACXhEozForGUtuFCk74cptr5Hj22dIVFSMpHZ93N7hiNp3+PBhOXjwoG3OTZo0UbE/bTu4QgIkQAIkQAIk4BMBi0+1WZkESIAEPCPALPCe8WJpEiABEiABEjAlgcyVDzpVfupJHdv2vhQeWaM3I3KZm5sre/futc0dCY9q165t2+YKCZAACZAACZAACZAACZCAuQhQAWqu88XRkgAJkAAJkIDHBIqyN0phlvtKzWM7PvG4j6pSobCwUGV81/NJSUmRevXq6U0uSYAESIAESIAESIAESIAETEiALvAmPGkcMgmQAAmQAAl4QqDwyFpPiktR1jqPyleVwqWlpUr5iSUkMTFR4PpOIQESIAESIAES8C8BuL/TBd6/TNkaCZCAcwJeK0CXLl0qv/zyi/PWPTzas2dPwYdCAiRAAiRAAiTgPwJlpSeymLvboqfl3W03nMtZLBal/IQFKCQ+Pl5lfI+KigrnYXNsJEACJEACJGBOAvh5NeNPrBnHbM4rhKMmAb8T8FoB+t1338mjjz7q1wGhPSpA/YqUjZEACZAACZCAxNXwzIoxrsbJEUdtz549gtifkOjoaKX8jI31+jYp4vhxwiRAAiRAAiTgEQEoEqt5VCM8CptxzOFBjqMggZAT4J19yE8BB0ACJEACJEACgSVQrd6ZEhVbQywlJxR8rnpLbNTLVZEqdXz//v2SlZVlm1NaWppUq8YnHBsQrpAACZAACZCAvwlYFaCWOH83GoT2qEEJAmR2QQKBIeD113fs2LFy/fXX+3VUSDRAIQESIAESIAES8C+B6NjqUrv9aDmy9jmXDccmpUnNtCtclqsqBaD4PHDggG06jRs3lqSkJNs2V0iABEiABEiABAJAABagXmsjAjAed5s045jdnRvLkUAVJ+D11zc5OVnwoZAACZAACZAACYQ/geS2N1szwa+X3D1fOxxsdEIdadDzTYmKjndYpiodgMv70aNHbVM66aSTpG7durZtrpAACZAACZAACQSIACxAvdZGBGhM7jQb404hliEBEghHAlHWoP9hk3wNQ2GygeBdJnjwi1QXP8R3w/UWRpd/8E58GPQE/vq7rrMth8GwIm4IMTExUlZWxu9BiM58KL4H+J+XseY12bviWSkpOGKYeZTUadFfmp3znCTUjIz4n0VFRbJx40b1HcD/IXihtGzZ0sCEq8EgoL8HuDbx/4gSGgL4PeDvcWjYo1fwh/B7oDCE5A/uS/H/yMzfA/wPjYszj0+5Zf0aKbyke0jOty+dRjVsLAl/bPOlCdYlARIIEYGAvnPZuXOnZGRkCB4yjDe1+HEvKSlRPzBQwsH17Ouvv1YJkMaPHx8iFJHXLc5Dfr5nmYGrCqXExER1DeLapASfABTvOrkIMi4b/z8EfzSR2yPcfPEdwP9jSvAJVK9e3fbQG8z/xSltRkpyq+sk79AfUpS7R2LikqR6aheJq15PoH4K5liCT/1Ej/ifs2nTJsH/H5wHPDA2aNAgIuYeKuaO+q1Ro4btUCRce7bJhtEKlG/4HhQUFPCFWIjOiw67gf9N/B6E5iTgvhT3p2bmj2c7MylAVQb4gGojAnQtmXHMAULBZknAbAQC8vX97bff5IEHHpCFCxd6xOOMM87wqDwL+0YAP5I5OTm+NWLS2rjRh+Ln+PHjJp2BuYeNhy2tAMVLECrgQnM+8cAFBVBeXl5oBhDhvcbHx9sUoPhfjP/JQZXE9hJr/UAKrDrwggj6f7h9+3b1+wdrH4TzqVevni0DfFDPATtTijf8JuD6529yaC4I/C/CfRF+j81s/RYaev7p1agA5ffAP0w9bQXfAShAzc6/Zs2ank49pOXLTOhObr11oJAACZiUgN8VoEgmMHDgQGX56QmTRo0aSbt27TypwrIkQAIkQAIkQAIk4BGBPXv22F7+QQHaqlUr9RKAHgEeYWRhEiABEiABEvCNAJIg4WM2MeOYzcaY4yWBABHwuwL06aeftik/L774Yunfv796qzxq1ChJSEiQKVOmqDfMu3btkk8//VS2bdsmLVq0UHG4TGWyH6ATwmZJgARIgARIgAQCQwAhd44c+Sf2abNmzdQ9Cq2gA8ObrZIACZAACZCAUwImtAAVM47Z6UngQRKIHAJ+V4CuXLlS0bv00ktl/vz5NpLPPvusUna2adNGunc/Eez4vvvuk969e8uyZcvkhRdeUG7ztgpcIQESIAESIAESIAE/ETh27JiKOa6bg+dJrVq19CaXJEACJEACJEACQSSAwD8WE7qTm3HMQTyt7IoEwpqA3//lbNmyRU14zJgx5SZ+1llnqe2ff/7Zth8ZV3/44QeVdfXxxx+XHTt22I5xhQRIgARIgARIgAT8QQBJLdLT021NIeZnamqqbZsrJEACJEACJEACQSYAV3JYU5rt43cNSpC5szsSiGACfv36FhcXy969exXO1q1bl8Patm1btb1mzZpy+xH0u0+fPirj3uzZs8sd4wYJkAAJkAAJkAAJ+EIA9yY7d+4UZFeG4L6jYcOGvjTJuiRAAiRAAiRAAn4gYLEqQc348cPU2QQJkEAICPhVAYoYnnXr1lXT0Bme9ZwcKUBx/Pzzz1fF1q5dq4tzSQIkQAIkQAIkQAI+EYDSE8pPKEEhyPCblpam1vmHBEiABEiABEgghATMagHKGKAhvGjYNQn4RsCvClAMRWdyr+jO3r59ezXSjRs3SsVMq4mJierY+vXr1ZJ/SIAESIAESIAESMBXAnB7h/s7BC9mofxE5ncKCZAACZAACZBAGBCAEtSMnzBAxyGQAAl4TsDvSZCgAF2yZIm88cYbctFFF9lGBAtQPHyUlJTIokWL5JJLLrEd++qrr9R6zZo1bfu4QgIkQAIkQAIkQALeEti3b58g8REkKipKKT/j4+O9bY71SIAESIAESIAE/E3AjO8kfRzz0qVL5cMPP3SL5OWXX66SRhsLr1ixQiZNmiR//fWXJCcny9lnny1DhgyRTp06GYtxnQRIwA4BvytAhw8fLu+8847MnDlTBg8erDK7d+vWTeAejy/nwoUL5bbbbpMFCxaoGFxQfs6aNUsNrVWrVnaGyF0kQAIkQAIkQAIk4D6BQ4cOSWZmpq1CkyZNRHub2HZyhQRIgARIgARIIHQErJafiP9pNkH2el9kw4YN8tprr7nVRIMGDcopQP/3v/8Jkk1bLBZBQunCwkL56aef5OWXX5Y5c+bIhRde6Fa7LEQCkUrA7wrQ8847T+644w555ZVX5LPPPpNff/1VYIUBufvuu5UCFJni8TCCLKwHDhywsYfylEICJEACJEACJEAC3hLIycmR/fv326o3atRIPSTYdnCFBEiABEiABEggPAj4aE0Zkkn4OOZzzjlH3nzzTYdDhzft+++/L7Vq1VIGZbog9Cpjx45V8cxhQTpgwAAV43zy5Mly1113qcTSmzZtkmbNmukqXJIACVQg4HcFKNqfMGGCyrY6bdo0admypa3Lfv36yejRo9UbDyQmMCo/b7rpJsE/AwoJkAAJkAAJkAAJeEOgoKBAJT3SdWvXri2pqal6k0sSIAESIAESIIEwImDxUZkYiqn4OmaEBtQJoiuOPyMjQx555BEVugdKUJ1fBeWefPJJpWN54IEHZODAgaoqQvvAInT79u3KAA1hCKGLoZAACdgnEJB/OXAzg3n23r175amnnrL1jBhcr776qkydOlX69++vrEBhpv3222/LW2+9ZSvHFRIgARIgARIgARLwhABijCPjO16wQmrUqCEnn3yyJ02wLAmQAAmQAAmQQLAIwAXeqo0w4ydQiK655hqBEvTWW29V+hLdz/Hjx2X+/PlKMWrPa1bvmzJlirIK1fW4JAESKE8gIBaguguYbcMlvqKMGDFC8KGQAAmQAAmQAAmQgK8EEAsLys+ioiLVVEJCgkp6hBevFBIgARIgARIggfAjgFiavlpThmJWgRrzRx99JD/++KMg7ufTTz9dbmrLly9XL3hhOdq8efNyx7CBnCt16tRR8c/hBs+ESJUQcQcJKAJ+twCFJSdiUyC4r7vyxBNPSM+ePWmu7S4wliMBEiABEiABErAR2L17t+Tl5antmJgYpfzEkkICJEACJEACJBDGBPCe0myfAODMzc2VcePGqZYnTpyosrsbu9m6davaRA4VR6KPbd682VER7ieBiCfgdwtQZB/75ptvpFevXtKhQwe3ACMj/NKlS8vFC3WrIguRAAmQAAmQAAlENAEkWjx69KiNQVpamsAClEICJEACJEACJBDGBOLipcYr37gcYO49/UVKS1yW80eBmFPPlmo3jHfeVMGJF67OC3l2FEmNcD+DxI1Dhw6tVPnYsWNqn7O45rAAheiyaoN/SIAEyhHwuwK0XOsuNkpLSwUZ4VevXq1KInYohQRIgARIgARIgATcIZCVlaXcvXRZxPxE7E8KCZAACZAACZBAmBOwKjULPpjocpCWMqvyE1aiQZDS3ZtcjikqsabEnXO5X0eDnCiQm2++WWJjK6toEAMUopWcaqPCn5SUFLVHe8RUOMxNEiABK4HK3y4PsPTt21fFqTBWKS4uVpvITBYd7dzDHmV1sgJUQuwKCgmQAAmQgHcESouzJefIr1JcsF9i4mpJYnJXSajRwrvGWIsEwpwA3MX27NljGyViZjl7MLAV5AoJkAAJkAAJkEDoCVjKpOTPn12Pw7lKwXV9D0pYjmW6HFN0vcYetOi66KpVq2TFihUSFxcno0aNslshOTlZ7c/Pz7d7HDv1sWrVqjkswwMkEOkEfFKAvvDCC3LqqafazTSmFaHuAkag3gEDBrhbnOVIgARIgAT+JlBWWigZW5+Vw7vft0aTL+8iVKNOT2nc7kmrIrQ5eZFAlSFQWFiokh4h+REEDwb169evMvPjREiABEiABEigyhOAVWcQlZt+4+nnMWvrz0GDBqkESPbGCdd4yJEjR+wdLndMK0sdFuQBEohgAj4pQNu1ayeTJ08WZCXTMm/ePElPT5c+ffpI06ZN9W67S7zlgKsaMpkNGTJEateubbccd5IACZAACdgnUFZaIDtWXi152X/YLZBrtQjd+vsAadHtI6le0724zHYb4k4SCBMCCJ+z05rxHUtI9erVXd5vhMnQOQwSIAESIAESIAEDAUuQXNsNXfq86s8xw10d8T8ho0ePdjg2rQBF6B9HopWjfCHsiBD3k4CPLvAAOHLkSPXRMOEWDwUovsBYp5AACZAACQSOQMaWCQ6Vn7rXspJjkr76Vmnd83traJJ4vZtLEjAdAVh8QvkJC1AIXqTiJWpUlAmfoExHnwMmARIgARIgAT8TMOPPtx/HPH/+fMnOzlb3Mueee65DuE2aNFHHkOG9qKhI4uPL388fPnxYMjIyJCYmRrp06eKwHR4ggUgn4GcDbpHhw4fLk08+KW3bto10tpw/CZAACQSUQElRptXt/cRbY1cdFeWny9H9c1wV43ESCGsCe/fuFcT+hCDOOJSf9pIFhPUkODgSIAESIAESIAFFwGLVRpjt48+ETEuXLlUcXCktcb9zxhlnyNGjR+Xbb7+tdPXMnDlTSkpKVE6VpKSkSse5gwRI4AQBvytAhw4dKuPHj5dWrVqRMQmQAAmQQAAJHD+82Nr6CTdgd7o5nulGoHl3GmIZEggBAVg2aPcudN+sWTNhoP8QnAh2SQIkQAIkQAJ+IoBI3mb8+Gn6smzZMtVUx44dXTY5btw4Veaxxx4Toys8EkJOnDhRHRs7dqzLdliABCKZgE8xQD0Bl5OTI9u2bZOEhASVqADxPumy5glBliUBEiCB8gSQ7d0T8bS8J22zLAkEkgDcww4ePGjronHjxlKzZk3bNldIgARIgARIgARMRgCu5H43xwoCAz+OGfoRCBJCu5IrrrhCunfvLr///ruyBr3yyiuVO/zHH38s+/btk/79+6u8Kq7a4XESiGQCAVWArl+/XlmDrly5UvBmwih169aVgQMHyi233CKnn3668RDXSYAESIAE3CAQE+uZi0tMbA03WmUREggvAkgQgNjiWhDcH/cQFBIgARIgARIgAZMT8KMyMWgk/DTmsrIyOXDggBq2OwpQxPdcuHCh3H777fLBBx/IM888o+oiHvqdd94pEyZMUOGBgsaBHZGACQn46etbfuaIP3H//ferALxz5syppPxEaQTqnTJlipx55pny3HPPlW+AWyRAAiRAAi4JJCZ7FuS8uoflXQ6ABUggwASKi4tV0iMkP4LA6rNBgwYB7pXNkwAJkAAJkAAJkEBgCSCWOe5zcI/ToUMHtzpD6B/oUI4fPy4wMlu+fLlkZmbKpEmTJDEx0a02WIgEIplAQCxAn3rqKZtSE27uF1xwgUqKhHhdsOTYtWuXrFq1StasWaOC9UJZigeaa6+9NpLPBedOAiRAAh4RqF7rFKle61TJP7bGdb2oWKnTeIjrcixBAmFCAJYRO3bsUPcJGFL16tVV3M8wGR6HQQIkQAIkQAIk4CMBJEAym4TDmGH12bVrV7Oh43hJIOQE/K4A/fPPPwUKUEjPnj3l1VdfVZag9mY6d+5cGTNmjHrAGT16tIpbkZKSYq8o95EACZAACdgh0LjDBNn2+xViKSuwc/SfXQ1ajZP46k3+2cE10xKwWEqlqPiQNQlptMTFpVrjaZvw6cEN+nhZWlBw4rpGpve0tDS6drnBjUVIgARIgARIwAwELNYYoOGgTPSUFcZNIQESMCcBvytAX3nlFWXK3bx5c/n666/FmUKzX79+0qJFCxXMF0mSPvzwQ4EilEICJEACJOAegeo1O0jzrtMlfc1tUlKUaadSjJzU6h6pl3aznWPcZSYChYV7ZffeSXI4a56UluaoocfGpEhq3f5ycuPbJT6unpmm43Sse/fuVe5dKARPEig/Ye1AIQESIAESIAESqEIEzKhMNOOYq9Alw6mQgC8E/G42Ard2yCOPPOJU+akH3bFjRxk5cqTa/Pnnn/VuLkmABEiABNwkUKP2GdLm7AXSsM1DklT3PEmo0UYSk0+X1GajpE3P76V+81vdbInFwpVA9rGlsmpdHzmYOdOm/MRYS0qPSsbB6bJ6bR/JyV0brsP3aFzI9o444VqaNm3KuFYaBpckQAIkQAIkUIUIwALUjJ8qdAo4FRKIKAJ+tQAtLS2VDRs2KIDdu3d3G6QuC3c3CgmQAAmQgOcEkOE9tdkN6uN5bdYIZwIFhbtl45ZR5RSfFcdbXHJY/tp0g3Q+5VurpaR5M6QjqH9GRoZteg0bNpTk5GTbNldIgARIgARIgASqCAGrJaUZ3cnNOOYqcsVwGiTgMwG/WoAikxnidEFyc3PdHhwSI0H4kOM2MhYkARIgARKIEALpe15wqvzUGIpLMmXP/sl603TL/Px8lSRRDzw1NVXq1as6bv16XlySAAmQAAmQAAn8TQDaCDN+eAJJgARMScCvClDE6WrXrp0CsWTJEreBLF68WJU95ZRT3K7DgiRAAiRAAiRQ1QmUlRXKkaz5bk8z8/CXbpcNp4IlJSWyc+dOQeZ3SFJSkjRq1CichsixkAAJkAAJkAAJ+JsA4mma8eNvDmyPBEggKAT86gKPEffo0UNWrFghjz76qMrqjiRHzmT+/Pkq+RHKdOnSxVlRHiMBEiCB4BBIt8YyXvCuyNblVnP2LJFaViu0tmeLXHSjWANqBmcM7IUErASQ+Kis7EQmdHeAFFuzw5eUHLN6Y9Ryp3hYlLFYLLJjxw6VQBEDSkhIkGbNmoXF2DgIEiABEiABEiCBwBEwozu5GcccuDPIlknAXAT8agGKqY8fP15ZbmRnZ8v5558vU6dOtbrulVaigjhfjz/+uAwePFjw8APrz6FDh1Yqxx0kQAIkEFQCcyeKTPy3RC3/QiRrr0QVWUN0ZO6SqF9miDzVS2TJh0EdDjsjgapOID09XeD+DomJiZHmzZurZVWfN+dHAiRAAiRAAhFNAJafZnR/x7gpJEACpiTgdwtQJCyYMGGC3HHHHbJnzx6V4X3cuHECS9C0tDQpKipSbm7btm0THfszLi5O3nvvPYmPjzclRA6aBEigihD4frJEffe6WP6ejr6/0UspK5WoTx4US40Uq8l63yoyaU4jnAkkJDSW6OhqbluBxsXVM5X15/79+wUvTCEIowPlJ+8FwvmK5NhIgARIgARIwH8E9D23/1oMfEtmHHPgqbAHEjAHAb8rQDHt22+/Xdq2bSs33HCDUoJmZWXJypUr1acils6dO8urr75K9/eKYLhNAiQQXAJZ+0W+fkkpP20KzwojwH510/PpIyIdLxKJr16hBDdJwL8EoqMTpE7tS8Xd2J6pdfr5dwABbC0zM1MOHTpk66FJkyaSmJho2+YKCZAACZAACZBAFSfgd3/UIPAy45iDgIVdkIAZCAREAYqJ9+rVS9atWyeTJ09Wy7/++ks2btwosPZs3bq1+lx00UUyYsQIurqZ4UrhGEmgqhNYMUeiSotdzlIpR3MOi2X9z1Yr0H+5LM8CJOArgaaN75GsrB+ltCzXaVNxsalycqPbnJYJl4M5OTmyb98+23CQ8CglxWpZTSEBEiABEiABEogIAjAqUIYFJputGcdsMsQcLgkEjEDAFKAYcXJysjzwwAO2wSPWJ1zcKCRAAiQQdgT2rPdsSChPBahnzFjaKwLVqjWVtm3ekk1bbrbG1M6x20ZcbF1p3+Yd60vGunaPh9POwsJC2bVrl21IUHympqbatrlCAiRAAiRAAiQQIQTMaE1pxjFHyOXEaZKAKwJ+//q+9dZbMnbsWNmwYUOlvh0pP5944gnp2bOnih1aqRJ3kAAJkEAwCBQXetZLsfuZuT1rmKVJoDKBlFo95bRO86Re6hUSE13DViAmJlka1L9GHUtKOtW2P1xXkBQRGd91ckS4vMP1nUICJEACJEACJBBhBKx2URarNsKMnwg7U5wuCVQZAn63AJ0zZ4588803ygW+Q4cOboFasGCBLF26VFq2bOlWeRYiARIgAb8TSPVQCVO3qd+HwAZJwBmBagknS+sWz4ul+TPWhIIHrVmDoiU+rr7Vs8Lv7zKdDcPrY/ACgfITyRAhSHaE5IiOXo563RErkgAJkAAJkAAJmIKAxYzOoWYcsymuBg6SBAJPIKRPTbAAQVzQ1atXq5ky+UHgTzh7IAEScEDg1EsdHCi/W8UrgsLplIvLH+AWCQSJQFRUrCQkNJKE+AamUX4CzZ49eyQvL09RiomJURnfY2P9/h42SGeB3ZAACZAACZAACfhMAMpEM358njgbIAESCAUBn548+vbtKz/++GO5cRcXn0giMnDgQImOdq5fRdmysjJb/W7dutnWuUICJEACQSXQqodY2p0nURsXOe0W92iWs68SqXOy03I8SAIk8A8BJDzKysqy7WjWrJlViZtg2+YKCZAACZAACZBA5BEwowUokyBF3nXKGVcdAs41lC7m+cILLygFJhIa6I9WaEK5qfc5Wuqy6KZTp04yYMAAFz3yMAmQAAkEkMB1L4mlQWvVQcWbG71taX2myKCHAjgINk0CVYvA0aNHJTMz0zapk08+WZKSkmzbXCEBEiABEiABEohAAma0/NRjjsDTxSmTQFUg4JMFaLt27WTy5MmyfPlyG4t58+ZJenq69OnTR5o2dR4jLy4uTmrUqKHc4IYMGSK1a9e2tcMVEiABEgg6gaQ6Ivd8LpavXhT59SMRY6Kj6rXEcuFIkUtvFYmJC/rQ2CEJmJEAXN53795tG3qDBg2kTh3r94xCAiRAAiRAAiQQ8QSQAMlsYsYxm40xx0sCgSLgkwIUgxo5cqT66AHCLR4K0NGjRwvWKSRAAiRgKgLVrJZpgx8W6X+fWNLXiOQeFalVT6RpJyo+TXUiOdhQE0CyIyQ9QvIjSHJystSvXz/Uw2L/JEACJEACJEACYUAAdwfawyoMhuP2EMw4Zrcnx4IkUMUJ+KwArchn+PDh0rNnT2nbtm3FQ9wmARIgAfMQiK8m0qq7ecbLkZJAGBFAkkMoP7GEVK9e3aVXSBgNn0MhARIgARIgARIIBgETWoCKGcccjHPJPkjABAT8rgAdOnSoCabNIZIACZAACZAACQSKwK5du1QccLSPcDfNmze3ZqxH4CwKCZAACZAACZAACZAACZAACQSfgN8VoMGfAnskARIgARIgARIIFwJ79uyRnJwcNZzo6GhJS0uT2FjeboTL+eE4SIAESIAESCAsCOC9qBmtKc045rA44RwECYSeAJ9IQn8OOAISIAEvCFjKiqX0WLpYSgolpubJEp1Qy4tWWIUESMCfBDIyMuTIkSO2Jps1a6bc3207uEICJEACJEACJEACfxOwmNA5xJ9jPnjwoLz99tuycuVK2bp1q3ppjGTSN910k8OXxytWrJBJkybJX3/9peKrn3322YKE0p06WfMVUEiABJwSoALUKR4eJAESCDcCZfmHJXflJCnYMlssxSeszESiJK7RmVKj2z0S3+D0cBsyx0MCEUEgOztbcCOvpXHjxlKzZk29ySUJkAAJkAAJkAAJlCPgT2ViuYYDuOGvJEjLli2TwYMHCzxn4DHTsGFDWbt2rcydO1emTZsmCxYsqPQS+X//+5+MGTNGJZhMSUlR4YZ++uknefnll2XOnDly4YUXBnDmbJoEzE+ABtzmP4ecAQlEDIGSo9vkyOeXS/6G9w3KT0zfIsX7lsrRuUMkb8MHEcODEyWBcCGQl5cn6enptuEg23vdunVt21whARIgARIgARIggYoEoAA146fiPDzdhrfMJZdcopSf99xzj+zfv1+tw6qzffv28vvvv8v9999frtlff/1Vxo4dK9WqVZPPP/9cedwcPXpUKT8RegiWo4jBTiEBEnBMgApQx2x4hARIIIwIWEoK5Oi8G6QsN8PxqCxlkrPkYSna+4vjMjxCAiTgVwLFxcWyc+dOZY2AhmH12aBBA7/2wcZIgARIgARIgASqGAEoP63aCDN+fD0Tr776qoqX3rt3b5k4caLgxTGkXbt28swzz6j1Dz/8UEpLS9U6/jz55JNSVlYmDzzwgAwcOFAll4yPj1cWoXfccYeyBn3jjTds5blCAiRQmQAVoJWZcA8JkEAYEoDVZ9nxfyzMHA/RIjm/Pe34MI+QAAn4jQBuxKH8LCkpUW3CKgFxPykkQAIkQAIkQAIk4JKAVQlqjWRlvo/LiTkuAK+ZV155RRISEmT69OlKkWksffnll6vjL730klJq4tjx48dl/vz5quzw4cONxdW63jdlyhTBi2kKCZCAfQKMAWqfC/eSAAmEGYGC7d+4PaKSwxukJHunxCanuV2HBUmABDwnAFer/Px8VRGZ3ps3b67iWHneEmuQAAmQAAmQAAlEGgFTxgCFwtYHWbVqlRw+fFguuOACqVevXqWWEA8UFp1GWb58ubL+bNu2rbrXMh7Derdu3aROnTqSmZkpmzZtYkKkioC4TQJ/E6AFKC8FEiABUxAotcb/9ERKs3d4UpxlSYAEPCSwd+9eZZGAalFRUSpzaVxcnIetsDgJkAAJkAAJkAAJRA4B3D9BTjvtNBU+aOrUqTJs2DAV+7Nfv37y+uuvK2WnkQgyxEPsKUx1OX1s8+bNeheXJEACFQh4bQGakZGhgvVWaM+nTWQ+Y9wwnxCyMglUXQJRMZ7NLYrvdzwDxtIk4D6BQ4cOKesFXaNp06aSmJioN7kkARIgARIgARIgAecEYuKl8eivnZexHt375r9Fyk6E2nFZ2McC1Zr3lLq9xzttpawoz+lxVweR9R1Sq1Ytges6Yn3C6jMmJkY2btwoX331lcyaNUtldUdcdcixY8fUMjU1VS3t/YEFKESXtVeG+0gg0gl4rQB988035dFHH/UrP7T3yCOP+LVNNkYCJFA1CMTWaSvF+5e5PZnY2m3cLsuCJEAC7hNAHCpkK9WCl5fJycl6k0sSIAESIAESIAEScEnAYlVqHvnxBbfKuSzkpwJFh7a4HFN0tZqSdEo/r3vUFqCTJk1Slp7Qq8ACFAmNvv/+exk1apT8/PPPMn78eBULFB3h3guilZxqo8KflJQUtQcxRikkQAL2CXitALXfHPeSAAmQQGAIVGs9wG0FaFzDHhKT1DAwA2GrJBDBBAoKCgRxP7XUrVvXqTuWLsclCZAACZAACZAACZQnUCa5W38qv8veVhCdukryDkmJizHFpTS2N0q39xUWFqqysNREEiSdwAg7+/btK59++qmcc8458tprr8m9994rTZo0sb1o1nHX7XWmjyEhJYUESMA+Aa8VoAMGDLAbgBfdIO7EU089pXpENli8xWjdurWcfPLJ6s1Genq6Cs6L+Ba7d++Wk046SWbMmKHiXtgfJveSAAlEOoFqbQZL/l8fScmhNc5RRMdL0lkPOS/DoyRAAh4TQKb3HTt22OJS1ahRQxo1auRxO6xAAiRAAiRAAiRAApFKoHHjEwpUWHMalZ+ax9lnny2dO3cWJEtavXq1UoDq+60jR47oYpWW+hi9ciqh4Q4SsBHwWgGKoL34VBRkHnv88cfV7ieeeELuv/9+qZgU4fTTT1fH7777bvVW45VXXpGHHnpIvvvuu4rNcZsESIAEFIGo6FhJvuxtyZ43QpDl3a7EVpfkiyZJXGpHu4e5kwRIwDsCFotFKT+Li4tVAwkJCSrpEZIfUUiABEiABEiABEjAKwJBtO70anz2Kvl46wOjMEhaWppa2vvTsmVLpQDduXOnOqwVoFlZWfaKq31aAVq/fn2HZXiABCKdgNcKUEfgYPm5bds29TbjwQcfdFRM7Ueci5deekn+/PNPWbx4sbICvemmm5zW4UESIIHIJRCTWF9qD/hc8tdPl/xNM6U0a4uCEZWQIglpl0qNLrdLTK0mkQuIM69SBEryD0junm+kKHuTNUtoicQltZAaJ18m8TVbBn2e8NzQrlUI0o+bdiwpJEACJEACJEACJOAVAasi0WJCBaivY4ZLOwRes6WlpXbvp5BsEtKpUye1NNYpKipSXrXqwN9/Dh8+LEhSjXuzLl26GA9xnQRIwEDA7wrQRYsWqeavu+46QzeOV5HxbPDgwUoB+ssvvwgVoI5Z8UgVIGC1nkqY9YnEfzlbYrdstmY0LJXStOZS1PtyKbj6WhGrSynFOYGomARJPPUm9bGUFomltFCi409kSNQ1LfnHpGzjD2I5sEkxjkptLtHteklULb4R1Yy4DF8CsLY8uvE1ydrwP+v1W1RuoFnrnpeaLa6S1M4PC74LwRDcUGdnZ6uuYPGZZlV+wgKUQgIkQAIkQAIkQAK+ELD4UjlEdX0d81lnnaXc2hEKcOnSpSrep3EqR48eVa7v8KLt3r27OtS8eXM544wzZPny5fLtt99K//79jVVk5syZglBFPXr0kKSkpHLHuEECJPAPAb++c8GXDnEqIIj96a6kpqaqouvWrXO3CsuRgOkIRB3IkFpDB0qNxx+SuFV/iOTmiNWkSmL/2iCJLz0nyf0vk5jNVoUdxW0CUTHxlZSfpb9Nl+LnekrprHukbPFbUvbLO1I650Epfv4cKfn+ebFYlc4UEghnAodXPSZZ66xZUSsoP0+M2SLHt8+QjF9HWa1CA38tw6Lg4MGDNlxw20LsTwoJkAAJkAAJkAAJ+EwA2ggzfnyYOLxg77vvPtXC1VdfrSw3dXOwCEWYQLx4vuyyyyQxMVEfknHjxqn1xx6z3icaXOH37NkjEydOVMfGjh1rK88VEiCBygT8agEaGxsrKSkpggemFStWSKtWrSr3aGfPkiVL1F4dENhOEe4iAXMTsGb7q3nzDRK76S/bPKxeH+UkZt9eqXnjtZL9+VdiSa1X7hg33CMABWfZgtfsFy4tPnHs8C6JHWq1rKOQQBgSyDuwWI5tfc/lyPIzFlnLTZfk1iNclvW2QG5uruzdu9dWvWHDhlK7dm3bNldIgARIgARIgARIwFsCsKQs87ZyCOv5Y8w33nijzJo1SxYuXKjyqvTr10952Hz11VeybNkyOfXUU+WDDz4oN8srrrhCWYT+/vvvyhr0yiuvFLjDf/zxx7Jv3z5lFTpkyJBydbhBAiRQnoBfLUDRdLdu3VQPDz/8sMB825XAZX7KlCmq2AUXXOCqOI+TgCkJVPtgWjnlp6NJRB86KNX/97Kjw9zvhEDZjmWOlZ+GemVrv5LSlTMNe7hKAuFDIHvTid9Dd0aUvdn9su60ZyxTaH1powPvYz9ebtarxxczRkZcJwESIAESIAES8JGAGa0//aBBqVatmvz444/y3//+Vykx33nnHZUUGnFBoeicN2+eVMzmjvieUJiOHDlSYPX5zDPPyIsvviiIF3rnnXfKRx99JAgvSCEBEnBMwO/fkLvuukv1tmXLFjn//PNl9uzZVje9ypEyjh8/LsgSj7cdyCqLByvG/3R8onjE3AQSZs9yawL4piR8NUesv4RulWehfwiULn7znw0Xa6WL3nBRgodJIDQECg795nbHJXn7pDh3t9vl3S0I9ysoP7GEwP1KB993tw2WIwESIAESIAESIAEScEwACk0kkEb2duhOVq5cKZmZmcoyVGd9r1gbilMYj0GXgvKICYo6kyZNKucuX7Eet0mABE4Q8KsLPJpErIrbb79dXn31VVmzZo0MGjRI6tSpo2KCInYYrEqQTRYPVwUFBWoUrVu3Fph7M2DviZPCv1WMgFWZGbNtq1uTUm7xebkSvTtdylq6F0LCrYareCG8ZLFs+8X9WWZuF0v2folKbuh+HZYkgQATKCvOscao9ezlR2nhYYmrcSKbqD+Gh+8Sfp/xWw1BnCokPULyIwoJkAAJkAAJkAAJ+JOAxYS3F/4eM+6x3A0dqNkjQVLXrl31JpckQAJuEvC7AhT94g0ELDphlp1vTfKCtxr4/Pnnn5WGBbf3zz77TClJKx3kDhKoCgSKPVNoYMpRtAD17MwXHBcp8YyzJSeTClDPKLN0gAlExyVJVHS8R0rQmIRUv44KLlWI/QmBGxWUn4jvTSEBEiABEiABEiABvxKwKj/9rUz06/gcNFbZt9VBQe4mARIIOwIBearBQxNigCI+BWJbIDO8/sDdvUGDBtK5c2cV32LAgAGCNxgUEqiyBGokSVntOhKVdURcveRUP6jWt4BljU+usjgCMrGEJKu2xvrvrKzE7eajEpnMxW1YLBg0AtXqnyX5GQvd6i82sbHV+tN//yv2799fLqsolJ9wtaKQAAmQAAmQAAmQQEAI+D0gX0BGWb5RM465/Ay4RQIRSyAgClBNE1ndr732Wr3JJQlELIGiXpdJtU8/cjl/KEiLe5wlllq1XJZlgX8IRFlfukQ1O10s1kRIbklyI4mq7T/FkVt9shAJuEEgpe0otxWgyday/hIkLUQQfS34/WZYGk2DSxIgARIgARIggYAQcGUdEpBOfWzUjGP2ccqsTgJVhQDfX1SVM8l5hDWBglG3icWaSMSZywSOWayKvLwx48J6LuE6uJieN7g9tJieI9wuy4IkEEwC1ev3lOQ2I112mdjwQqnV8hqX5dwpkJeXJ7t3/5NM6aSTTpK6deu6U5VlSIAESIAESIAESMBrAnCBN+PH6wmzIgmQQEgJBFUBirhiOTk5IZ0wOyeBUBCAS3vOS69ZM4okqO7tKkKtru95jzwhpZ27hGKIpu8zusOlEt31CpfziGp+pkSfdb3LcixAAqEiUPe0B6XOKfdJVIw99/NoqdXqWjmp5xvWxES+/4QXWeMNI+kRkh9Balmtz6EApZAACZAACZAACZBAoAkoAxBrJ2ZbBpoL2ycBEggMAd+fnpyMC+5048aNk/PPP18aNWqk3OkeeeQRVWPHjh1y7rnnyqxZs6SsrMxJKzxEAlWDQPF5F8ixmV9I8dnnVppQySmnyfFpM6RwyLBKx7jDfQIxA5+V6HOtbsFRMXYrRZ82QGKvnWo9HNDoH3b75k4S8IRASrtbpcm/FkndLo9LzRbDpGbz/5M6pz4gTfr8JKldHlPJkjxpz15Z/PZC+VlSUqIOV69eK+4LnAAAQABJREFUXZo2bWqvKPeRAAmQAAmQAAmQgH8JwJUc2ggzfvxLgq2RAAkEiUBAtACwJEEm+Mcee0wQV8ye4KFryZIl6jNs2DCZNm0akyHZA8V9VYpAaZt2cnzKdInKPCQxW7eIlJZKWVpzJj3y01mOio6R2N7/EcsZV0nZ6i/FcmCz1bKtVKJSm0t0p74S3aijn3piMyQQeAKx1epJcqvhAesIv8MFBQWqfSQjRNIjJDGkkAAJkAAJkAAJkECgCWirz0D3w/ZJgARIQBMIiAL05Zdflrvvvlv1ERsbK6eccoocP35ctm7dqvtVFid44EJW+BkzZggsT6ZMmWI7zhUSqMoELKn1pMT6oQSGQFTdNIm56M7ANM5WSaAKENizZ48tJA2UnlB+4jeZQgIkQAIkQAIkQALBImAx4XtXM445WOeT/ZBAuBPw+7+ctWvXyn/+8x817759+8q2bdvkjz/+EKwbpVevXuoY3OAh06wWoJs2bTIW4ToJkAAJkAAJkICfCRw4cECOHDliaxVu73gJSSEBEiABEiABEiABEiABEiCBqkrA7wrQl156SQoLC6VLly4yc+ZMp/HEmjRpIvPnz5c6depYPYFL5Z133qmqnDkvEiABEiABEgg5gWPHjgkUoFoQnxuJjygkQAIkQAIkQAIkEFQC1higZVZthOk+iF1KIQESMCUBvytAV61apUDACtQdixKU0dahW7ZYYyJSSIAESIAESIAE/E4gPz9f0tPTbe3Wq1dPUlNTbdtcIQESIAESIAESIIGgEoA2woyfoEJiZyRAAv4i4FcFKKw4169fr8Z2+umnuz3G3r17q7LGBzO3K7MgCZAACZAACZCAUwKIt42kR8j8DklKSpKGDRs6rcODJEACJEACJEACJBBIAjoRktmWgWTCtkmABAJHwK8K0JiYGPVQheFmZ2e7PepDhw6psnDFo5AACZAACZAACfiPAJSeUH5CCQqpVq2aSnrkvx7YEgmQAAmQAAmQAAl4QQDu5Gb8eDFVViEBEgg9Ab8qQDGd0047Tc3qxx9/dHt2iAMK6dSpk9t1WJAESIAESIAESMA1AXhXwP0dEhsbq5SfyPxOIQESIAESIAESIIFQErBYlZ9m/ISSGfsmARLwnoDfn4B69OihRvP444/L1q1bXY7s3XfflXnz5qlynrjNu2yYBUiABEiABEggwgns27dPkPgIEhUVpZSf8fHxEU6F0ycBEiABEiABEgg1AeX2TgVoqE8D+yeBiCLgdwXo/fffL8jufvz4cenWrZu88cYb5TLOarq7du2SG2+8UUaOHKl2nXPOOTJo0CB9mEsSIAESIAESIAEfCCC8TGZmpq0F/DYnJibatrlCAiRAAiRAAiRAAiEjYEbXdz3mkEFjxyRAAr4QiPWlsr26KSkp8t5778kll1yi4oDeeuutgk9CQoIq/tFHH8n06dPLPZThgQyWoHTJs0eU+0iABEiABEjAMwI5OTmyf/9+WyXE2MbvM4UESIAESIAESIAEwoUA3N/NJmYcs9kYc7wkECgCfrcAxUAvvPBC+e233+TMM8+0jbuwsFCt44Hs/9m7D/ioquyB4ye9UJIQQguERAUWK0XAXkBFF0VEYHEt6IL613XFLrr2hq5rX+uiLrvAWkDXsgoqurqKiggIokjvPSGhpGfmP+eyb5iEmclkMpnMm/ldP+O8ct97930nITNn7r3Hs0fKoEGDZN68eXLIIYe467KAAAIIIIAAAsEJlJeXm6RH1tFZWVnStm1ba5VnBBBAAAEEEEAgMgQ0GmG3hw2DtpHxYtMKBJpfIOQ9QK1b6tevn8yZM0emT59unpcvXy76cDqd0r17d+nWrZsJlA4dOtQ6hGcEEEAAAQQQaIRAdXW1CX5q5nctLVq0kM6dOzfijByKAAIIIIAAAgg0jYAde1Pasc1N8+pxVgTsJxDyAOiqVaukoKDAJFvQhAsjR440D/vR0GIEEEAAAQTsI6BfMK5Zs0YqKytNo3Xqmfz8fPP32D53QUsRQAABBBBAIFYE9n1da6+71eRNFAQQsKdAyIfA/+EPfzC9Ox944AFZv369PVVoNQIIIIAAAjYT0L+5paWlptUJCQkm+KnPFAQQQAABBBBAAAEEEEAg1gVCHgBV0JUrV8qdd95pPnydccYZoomPdE4yCgIIIIAAAgiEXmDTpk1SXFzsPrH2/LSSD7o3soAAAggggAACCESIgA4ld7qiEXZ8RAghzUAAgQYKhHwI/NixY03296+++kp0DrKPP/7YPDT77OjRo+Wyyy6T/v37N7CZVEcAAQQQQAABbwI7d+6slVxQ5/zUuT8pCCCAAAIIIIBARAvYMaFQiNr85ptvypdffunz5enUqZPceuutB+zXBNJPPfWU/Pzzz5KRkSHHH3+8jBo1Sg4//PAD6rIBAQRqC4Q8ADp8+HDRh84FOmXKFPnHP/4hK1asMD1TXnjhBdHHoYceKpdeeqlcfPHF0qFDh9otYg0BBBBAAAEEAhLYu3evbNiwwV1X/6a2adPGvc4CAggggAACCCAQsQIhCiaG9f5C1OYXX3xRZs+e7bPpRxxxxAEB0GeeeUbGjx9vEktrB7OKigr59NNP5cknn5R33nnHJJn2eUJ2IICAhDwAapkedNBBctddd5nH119/bQKhr7/+uhQVFclPP/0kt9xyi9x+++1y5plnml6hZ599tiQnJ1uH84wAAggggAACfgT0Ta8mPdLkR1q0F0C7du38HMEuBBBAAAEEEEAgcgQcIQomhvOOQtXmhQsXmmZr8DItLe2AW6j7hfacOXPkuuuuk9TUVJk6daoMGzZMqqqq5Pnnn5frr79ezjrrLPnll1+ka9euB5yLDQggsE+gyQKgnsDHHnus6EN/uf/973+bnqEffPCBmRf0/fffF320bdvW/PKOGDHC81CWEUAAAQQQQKCOQE1NjQl+6rMWfeOcl5dXpxarCCCAAAIIIIBAhApo8NOGAdBQtFlH7xQWFooOc9cenYEUTTKtUwxOmDBBzjvvPHOIdiDT43X07dNPP21G206cODGQ01EHgZgUaJIkSL4k9RdUf1lnzJgh27dvF+32nZWVZarv2LFDfvzxR1+Hsh0BBBBAAAEEXALa41N7fmoPUC36t7WgoEDi4uz4KcLcAv9DAAEEEEAAgRgUMImQXG9f7Pbc2JfK6v3Zt2/fgE61e/dumTVrlnmvp9MI1i3WtkmTJpleoXX3s44AAvsEwtID1BNbs9RqAPStt94yc15YH+C0jreu357HsowAAggggECsC2zcuFF07k8t8fHxohnfExPD/uc81l8G7h8BBBBAAAEEGimggU+7lVC0ecGCBea2rQBodXW16RHavn17rxzfffed6f3Zo0cP86V33UpHH320mQNeO5XpMHgSItUVYh2BfQJh6QGqQU4NeJ5//vkm6dG4ceNEh8Dr9tatW8vll18uOk+otyxnvFAIIIAAAgggsE9gy5YtZi5ty0PnedK5oCgIIIAAAggggAAC9hCweoBWVlbKGWecIenp6SZOkp2dLaNHjxZ9v+dZNKm0lpycHM/NtZatfcuWLau1nRUEENgv0GRdRnSI3n//+18z3+ebb75pssBbl9Vheqeccor87ne/Mxnj9ReeggACCCCAAAK+BUpKSmTbtm3uCrm5udKqVSv3uh0Wdjs2yE8Vk2Vz9Rwpc26XlLg20jFxgByafKlkJBTY4RZoIwIIIIAAAgiEQCAuPlmOOPu9es/048zzxOmorrdeKCq07nCcdO1zm99TOarK/O4PZKcVAH3ooYckKSlJtAenBkN1SkBNHP3JJ5+Y0bJHHXWUOd2uXbvMs+ZN8VWspElWXV/12I5ALAuEPAC6dOlSmTx5skybNk3WrVtXy1Z7qowZM0YuvfRSr123a1VmBQEEEEAAAQSMQGlpaa2/qZrtXXsJ2Kksq3xDvir7ozikyt3sUuc22Vm5VH6unCL9U/8oh6f8zr2PBQQQQAABBBCIXgGHK6i5btFT9d5gjdMV/AzTUPm9JcvrbVNiUktpWzC03nb7qqABytWrV5vdl1xyiTz33HPSokULs67bL7jgAvn222/lsssuk7lz55ppjnQOUC1WkNOs1PlfZmam2aLvGSkIIOBdIOQB0BtvvNEMb7cup/N6auIj7e05cOBAkjRYMDwjgAACCCAQgID2CNCkRzqyQotOHdOhQ4cAjoycKqurPpD/lt3is0FOqZFvy++TpLh06ZE82mc9diCAAAIIIIBAlAjEOWTnpk/qv5kwBT+1IVUV2+ttU0qL3Prb7KdGy5YtzTydmzZtkpNOOqlWfESTWr7xxhvSs2dP0XlCNfHRkCFDJCMjw5yxrMx371NrH1Mj+cFnV8wLNNkcoP3795cXXnhBNm/eLFOnTpVBgwbV+uWOeXkAEEAAAQQQqEfA4XCY4KdOjq9Fv1TMy8ur56jI2l3lLJU5ZXcG1Khvy+6XcsfOgOpSCQEEEEAAAQTsLeBwNd9uj31fRwfvrgksu3XrJieffLLX+Ii+zzvuuOPMBRYvXmyeO3XqZJ6Liop8XtjaZwVLfVZkBwIxLBDyHqAXXXSRPProo3LooYfGMCu3jgACCCCAQOMF1q5dK+Xl5eZEOkeUZnzXN852KuuqPpFyZ2FATa6SvbK66n3pmXJxQPWphAACCCCAAAI2FrDXW5p90GFos/Vlt5UMyQqA7tzp+0tiKwCq0yRREEDAu0DIA6A6ZwUFAQQQQAABBBonsHHjRrHmfNLkgTqPtgZB7VZ21CxqUJN31Ozr7dCgg6iMAAIIIIAAAvYTCOPw9pDhNLLN33//vXz44YcmkeX48eO9NsvKpXLIIYeY/V26dDHPmuFdp0ZKTk6udVxhYaHJHJ+QkCC9e/eutY8VBBDYLxCG7y/2X4wlBBBAAAEEEKhfQLO965tZq2jwMz093Vq11XO1+J6vytuNVAmT93tzYRsCCCCAAALRJuBwBRPt+GjM67B9+3a588475YYbbhBNIF23bN261SRB0u3HHHOM2a1zg/br10+Ki4tl5syZdQ+RN998U3S6JM0mr3OMUhBAwLtA0D1AP/30U/nkk32TFg8ePNjMYaGX0Azwv/zyi/er1bNV5wnVBwUBBBBAAIFYFdDsoNaQJzXo2LGjSXxkV4+WcQ1LFtAqvrNdb5V2I4AAAggggAACfgU08ZEOU9cvu++//34TP0lM3BeW0Qzul19+uRkBNHToUBPQtE520003yW9+8xu599575cQTT5SsrCyza8OGDWYKQl257rrrrOo8I4CAF4GgA6D//e9/ZeLEieaUOtGuTuKrRbOWffDBB2a5of9LSUlplgDo3r175bXXXpOff/7Z/EOkHzaPPPJIGTFihGibvJWKigqZPn26zJs3T3QuDp3IuFevXnLmmWeKdj33VsJ1jLdrsw0BBBBAIPIFNIOnNexJW9u2bVvJycmJ/Ib7aWFe0mkyr+JPfmrU3pWXeFrtDawhgAACCCCAQNQJOF29P502HI+q7W5M0RE906ZNkzPOOMM8z549Wy688ELRIOjbb78ty5cvl8MPP1yeeeaZWpc5//zzRRNNz5071/QGHTlypBkOr3EMzSivAdNRo0bVOoYVBBCoLRB0ALT2aey7tnr1arn++uvdQw1bt24tum3OnDny3nvvyVNPPSXt27evdYPa9fzqq6+W9evXm+1t2rQxXdG1O7oed/fddx8wL0e4jqnVUFYQQAABBGwjUFVVZTK+a+Z3LTqEyZr03jY34aWhWQnd5aCkc2RV1Xte9tbelJt4krRPPLr2RtYQQAABBBBAICoFGhtMbA6UULRZR71+9dVXonOAakDz8ccfN7fSqlUrueSSS+TZZ589YCi7drL6/PPP5ZprrpEpU6bIww8/bI7R+eGvvfZa0znNbokym+P145qxLRDndJVgCHTyXe3RqEV7SVoT8WrvFZ1/IpjieZ5gjm/oMdrOcePGycqVK2XAgAFm+Ve/+pUsWrRIXnzxRfN81FFHyV/+8pdap77xxhvNP1R6jM7foT1gNVnFH//4R3Ouc889V7SLumcJ1zGe16xvWZNr7Nmzp75qUblfhx3oz6qVYCQqbzKCbyozM1PS0tJMC3UenGD/zYjgW7RF07S3e0lJiehwG0r4BbKzs91/O/Wb+xUrVph/l7QlqampcvDBB/scURD+1jbuipXO3fLBntFS6Fji80St4w+Ss1u8KWnx2T7rhHqHfpjQvwc636q+r6GEX0D99XXQwL/Oe0YJv4C+h9d/j3Q4Zk1NTfgbwBXNVCfKoF+E7dixA5FmEND3pfr+dPPmzc1w9dBdUt/b2aXs3rlI5vy7v12a625nanqunDx8pXu9sQv6HkSTG+mQ9u7du0sgQUz9t2Lx4sXmb6ceo524KAggUL9A0J3O9c2SfkOhDyv4qZfTTLUtWrRw77PqBPLseZ76m974GmvWrDEBS22zTkKswU8tOvz9D3/4g1n+4YcfTJdys+L6308//WSCn/pH8oEHHjDBT92Xm5trvrnRN/Ga1c0zsBauY6w28owAAgggYC8BHfauX8po0SFQ+fn5URP81HtKjmslQ1q+KYclXybxUjuTfZwkSo/kC2Roy7fDGvzUdlEQQAABBBBAAIHmFNAvoI499lgTiwgk+Klt1V6fffr0MXOEEvxszlePa9tNIOgAqK8b1eHfmq32tttui/heRdY3fF26dDlgmKEGQ3XuNS3au9Mq//nPf8yiznmqPXQ8iw6F13k5tBeJBkGtEq5jrOvxjAACCCBgHwH9G6M9cbXoF3Ia/Az3F4Lh0EqKS5dj0u6WC1svkMHpk+WktMfkjPRXXOvfywlpEyUlLiMczeAaCCCAAAIIIBAhAnbMAK9tpiCAgD0FQh4A1fkoNBPZX//6V58JhCKFSnt66odN7Xmj8356Fs1kr0NQtEdnz5493buWLNk3fE+Hv3srGgDVosPorRKuY6zr8YwAAgggYA8BHXLqmfFdv5DTyfGjuSTHtZTOSSdLt+TzpUvSQAKf0fxic28IIIAAAgj4EnAFEk0iJBs++7oltiOAQGQLhDQJks4bpPP5aTnhhBMifviezt05cOBA0cxrf/7zn82Ew3379jWZ3V999VVzH6effnqtCYit3qA6R4y3Ym23EiRpnXAd4609d9xxR62Mwp51hgwZIsOGDfPcFDPLOrxAe/Dq8AFK+AV0iK9V9PcwyKmIrVPw3AgBnbKkbm/2RpyOQxsgoEPe9QtDLTp8qXPnzmY+ygacgqqNFNAvQbWov5V8qpGn5PAGCljD/fS10JE0lPALWK+Bvofl73H4/T2vqB0v+D3wFAnfsvV7YGd/u/3+aiISW2aBD3kXsvD9nHMlBGJdYH8UIgQS+kf7pJNOMgFFzWamHyasPyYhOH2TnEKH7B922GEm0ZEmLtLAjCZk0XZrNrURI0bUuu7evXvNuhXorLXTtWLNwWHV0/3WclMfU7ctuq6TIy9dutTbLundu3fE99L12vAQbdTX2jMQF6LTcpoGCkTjUN8GEjRrdX4Pmoe/vLzcjDywPqxo0gLt/UlpHgG+DGsed8+ragBUk2FSmk+Av8fNZ29dWT9/8HtgaTTPs539+SKveX5muCoCCNhHIOTfX2hiIA0C6vyammF9165dEa2hPVbnzZtngrWa2Eh74OgbQP0DosFDz2RGuk0/tGrRpE7eSsuWLc3miooK8xyuY7y1hW0IIIAAApEnoF+yacZ3K9uy/t3QubMpCCCAAAIIIIBATAloNMKOj5h6kbhZBKJHIKQ9QJVFezm+8MILcsstt4gOI3/77bfNHJrdunWT/Hz/iR209+iJJ54YNl2dp1N7fWqwUnt7nn/++abnp344nTp1qkyaNMnM5fn444/LQQcdZPZpkFSHLVoBzrqNtbZb36LrN7nhOKZuO6x1fQ2qqqqs1QOet27desC2WNigCa40mL1nz55YuN2Iu0cd9m4Nu9a5dq1AUMQ1NMob1L59e/MllZV9PMpvNyJuT3t8rly50owM0N8DnYLgkEMOMdPHWL1BI6KhMdIIHbmifw+Kior8/q2MEY5muc2cnBzz/kq/MLamUWqWhsTwRbUHtA775e9x8/0Q6N9jLfqeXf89ooRfQN+X6t9lu382sn6Wwi8Y3BUdwR3WrEfp0H0KAgjYUyDkAdAbb7xRPvjgA7dGcXGxfP311+bh3uhj4Z577glrAFQTNekH/9/+9rcycuRId6t0SOiYMWOksLDQBHA1EPrQQw+Z/fpBSef39OwZ6j7QtWBt1w+1VgnXMdb1PJ/9zWOjbY3lAKAGG/QDFyX8Ap6BHl6H8Pt7XhF/T42mX9ake9a/uxp80y8H9Vn/LfL8vWj6lnAFFbDmAOX3oPl+Hjx/7vmb3Dyvg/UaqD+vQfO8Bp5X5TXw1AjfsufvQfiuypU0CZLdCgFQu71itBeB/QIhHwK//9SRv/Tzzz+bRp522mleGzt48GCz/YcffnDv12CmFivQ6d7xvwVryH9WVpZ7V7iOcV+QBQQQQACBiBPQqWH0S0GrFBQUMNebhcEzAggggAACCMSWgA2zv1tZ62PrheJuEYgegZD3AJ0yZYrP4eH1sVnzZ9ZXLxT7dcit9U2fr+QHVkIjzyHk7dq1M5dftWqVHHPMMQc0Rbdr6dmzp3tfuI5xX5AFBBBAAIGIEti5c2et4b0637SvuaQjquE0BgEEEEAAAQQQaCoBG/YAFTu2ualeP86LgM0EQt4DVHs+dujQIahHOAOgOuRQ5/XUsnDhQq8v25IlS8z2gw8+2L1/0KBBZvmTTz5xb7MWdMjKp59+alZ79eplbZZwHeO+IAsIIIAAAhEjUFpaKhs2bHC3R/9G+puexF2RBQQQQAABBBBAIEoFdCi5wxWNsOMjSl8SbguBqBcIeQDUn9jevXvdc5/5qxeufdYQ95deeslk5PW8rk6A/eKLL5pNVj1d0V6fmsxp+fLl8uGHH3oeYhIn6byhms13wIAB7n3hOsZ9QRYQQAABBCJCoLKyUlavXu0ecaAJFqxRARHRQBqBAAIIIIAAAggggAACCMSAQMiHwHuaaTbPRx55RL777jsTMNT5z2644QZ57LHHzAfCSy65RMaPHy/Dhw83GUA9jw3HsmZ91wRNc+fOld///vcmaNmjRw/ZsmWLzJo1yyRIOu6442TYsGHu5mjChMsvv1zuuusukxhJj9ckFosXLzbn0uH0t9xyizuxgh4YrmPcjWQBAQQQQKDZBXSqFQ1+6rOWtLQ0ycvLa/Z20QAEEEAAAQQQQCASBGyZBIkh8JHwo0MbEAhKIM41D2bIE5npKZ966im59957ayV80BZaAdDPPvtMBg4caBqtWdj/9re/ia+5OIO6swAPqq6uljfffNNcX4cpWkWH41922WWiQVIdLl+3LFiwwARANVhqFe0Zev3110ufPn2sTbWew3VMrYv6WYnlLPDaA6usrMxnMis/bOwKgUBmZqYJBump9IsS/T2khF+gY8eOUlJSIp7/9oW/FdF7RZ0T2sr4rn/f9MuyxMT93ztmZ2dLcnKyAdC/JU3w5zh6cUN0Z/r3Xf8e6OgN7a1LCb+A+uvroNMI6egbSvgF9N8h/fdo27Zt7i9swt+K2L6i/j3WonkHduzYEdsYzXT3+iWlvj/VDjt2LtbPkh3uoaRkkXzyWX87NLVWG9PScuXXg1fW2sYKAgjYQ2D/J7EQtvfJJ580gU49pX7YO+KII0ygacWKFe6raMBDPxDqH/pp06aZYMikSZPc+8O1oO274IILZPTo0eaNt34I1T8c+oZce276Kr179zaBU/3QtH79elNf53WLj/c9q0C4jvHVZrYjgAACCIRHQOf8tIKf+ndBvyDzDH6GpxVcBQEEEEAAAQQQiFAB/ajt+6NzhDbapm2OXE1ahkBYBUL+T44OBb/tttvMTQwZMkRWrlwp8+fPF132LKeffrrZd+KJJ5rN2gP0l19+8awS1mUNdmoAU5MXtW/f3m/w07Nh+o25HtOpUye/wc/mOMbzmiwjgAACCIRHQHuxFRUVuS+m80JrzxIKAggggAACCCCAwH4BHYpqx8f+O2AJAQTsJBDyAOgTTzwhFRUVYvV29DffWZcuXcxcm5oNV+dIe/nll+1kR1sRQAABBBCoJaBTCngO483NzZVWrVrVqsMKAggggAACCCAQ6wIm8OmKRjht+Ij11477R8CuAiEPgC5cuNBYaC/QQHq8aB2rd6hmVqcggAACCCBgRwGdS3XdunXupufk5Jh59dwbWEAAAQQQQAABBBBwC9D7003BAgIIhEEgpAFQ7cW5ZMkS0+y+ffsG3PwzzzzT1PX84BjwwVREAAEEEECgmQV0Pus1a9a4Exlpr087JSJoZj4ujwACCCCAAAKxJuCaA9SOvT/tmLk+1n60uF8EfAmENACqWTw1e7oWHQYYaNEs0Fp0Hk0KAggggAACdhLQ7NUa/NTkflp0ZIPO+0lBAAEEEEAAAQQQQAABBBCIDIGQBkD1lo466ihzZ7Nnzw74DmfNmmXqHn744QEfQ0UEEEAAAQQiQWDt2rVSVlZmmqKZ3jXju2Z+pyCAAAIIIIAAAgj4FtDelHZ8+L4j9iCAQCQLhPwT2oABA8z93nfffbJixYp67/3VV1+VDz/80NRryLD5ek9MBQQQQAABBJpYYOPGjbJ7925zlbi4OBP8TEpKauKrcnoEEEAAAQQQQMD+AnYMfjIE3v4/d9xB7AqEPAB66623imZ31w+ERx99tLzwwgu1MuJa1NpjZty4cTJ27Fiz6YQTTpDhw4dbu3lGAAEEEEAgogV0+pbCwkJ3G/Py8iQ9Pd29zgICCCCAAAIIIICAdwFNgORw9QC148P7HbEVAQQiXSDkAdDMzEyZPHmyGf6n84BeddVV0qFDBxMIVYx//vOfoplx811DBF9++WWTMEI/MGpPUIYMRvqPC+1DAAEEEFAB/ZJv8+bNbgxNeJSRkeFeZwEBBBBAAAEEEEDAj4AOf3dFI+z48HNXQe9yOp1y4YUXmk5k/pJDz5s3Ty6++GJTb9CgQXLXXXfJjz/+GPR1ORCBWBIIeQBU8U499VT55ptv5JhjjnFbVlRUmGX9wLhjxw73dv2l1V/iQw45xL2NBQQQQAABBCJVQOf71FEMVsnOzjZf7FnrPCOAAAIIIIAAAgjUL6C9QO34qP/OGl7j8ccfl2nTpsn3338vVuyk7lmeeeYZ6d+/v0yZMkVWrlwpX3/9tdx///1y3HHHyWeffVa3OusIIFBHILHOeshW+/XrJ3PmzJHp06eb5+XLl4s+9JuN7t27S7du3UygdOjQoSG7JidCAAEEEECgKQU007tmfNfM71patmwpubm5TXlJzo0AAggggAACCESngKsXqO1KE7R50aJFcvvtt/ul0NjKddddJ6mpqTJ16lQZNmyYVFVVyfPPPy/XX3+9nHXWWfLLL79I165d/Z6HnQjEskCTBUAVVRNCjBw50jxiGZl7RwABBBCwv4B+gbd69WrzZlPvJiUlhTeZ9n9ZuQMEEEAAAQQQaCYBOyYUCnWby8vLzdB3TaKZkJAgOtLIW3nggQfMF/ATJkyQ8847z1RJTk6W8ePHy6pVq+Tpp5820w5OnDjR2+FsQwABl0CTDIFHFgEEEEAAgWgT0PmYrDel+ga1oKDAvFGNtvvkfhBAAAEEEEAAgXAI2DELfKhdNKCpc3jqEHgdWeSt6Nzzs2bNMh3MdP7PusXaNmnSJPcX9XXrsI4AAiJB9wDdsmVLrQQQocDUJBKaMImCAAIIIIBAJAls3LhRNLGfFh3doMFP/dadggACCCCAAAIIIBCkQBMMJw+yJYEfFsI2f/zxx6bn5pAhQ+SKK66QO+64w2s7vvvuO9P7s0ePHuY9aN1KRx99tLRp08bkWtFh8IcffnjdKqwjgIBLIOgA6Isvvij33HNPSBH1fHfffXdIz8nJEEAAAQQQaIxAUVGRFBYWuk/RuXNnSU9Pd6+zgAACCCCAAAIIINAwAU1+5AhhMLFhVw++dqjarO8tL730UtFkmi+//LLfBq1YscLsz8nJ8VlP9+l71mXLlhEA9anEjlgXCDoAGutw3D8CCCCAQPQL7NmzRzZs2OC+UR2pkJWV5V5nAQEEEEAAAQQQQKDhAvFxyXL6ke/We+DHi4e7EilX11svFBXatT5WeuXf5vdU1TXe5+j0e5CXnVdeeaVs2rRJ3nrrLWnfvr2XGvs37dq1y6y0bdt2/8Y6S9oDVItVt85uVhFAwCUQdABUs47pEEBvRb91ePDBB80uzUKm3bk167v2mtEhgzqPmnbNfu6552T9+vXmF37atGnSs2dPb6djGwI+BRIWfyuJcz6S+M3rxJmcKo5DDpWqU88VZ04nn8ewAwEEEAhEoKKiQtauXeuumpmZKf6+eXdXZAEBBBBAAAEEEEDAr4BDquXHjc/4raM7HXGu4GeYeoqWVKyst01JCS0lP+fcetvtr8Krr74qM2bMMD1ArYRG/urrHKBarCCnt7r6PlVLaWmpt91sQwABl0DQAdCjjjpK9FG37NixQ+677z6z+f7775dbb71VNKOZZ+nbt69ZveGGG+Tmm282817ceeed8tFHH3lWYxkB3wK7dkraI9dJ4vdf1K7zxfuS/PcnpPKi66Ry9NW197GGAAIIBChQU1NjMr7rsxYd8t6lS5cAj6YaAggggAACCCCAgH8Bh2wo/th/Fd0bpuCnXqqselu9bWqRkqtVgy6asV0zt+fn58tTTz0V0HkyMjJMPSsZp7eDrH2pqanedrMNAQRcAiHPAq89P1euXCmaiUwn8a0b/PRU196gTzzxhJx44okyZ84c0V6gFATqFSjdI+k3jz4w+GkdWF0lKX97VJJfecTawjMCCCAQsIDT6TTBz8rKSnOM/q3SN6ma/IiCAAIIIIAAAggg0HgBnQPUjlngtc3BFv1i/aKLLpK9e/fK5MmTpXXr1gGdqlOnfaMbdY5PX8XaZwVLfdVjOwKxLBDyAOgXX+zrkTdmzJiAXOPj42XEiBGm7ldffRXQMVSKbYGUfzwhCWuX+UTQv0n6BzXljRckfukCn/XYgQACCHgT0Dk/reFDCQkJJviZmBj0gAlvl2AbAggggAACCCAQ8wKxFgBduHChfP311+ZL9ZEjR5qpAHX+T+uho2m1HHvssWabDpXXYgVAd+7cada9/c8KgLZr187bbrYhgIBLIKSf6Kqrq+WHH34wsDr3Z6DFmsz3xx9/DPQQ6sWqQGWFJH3wTxPg9Pflm7Uv+V9/k/IJvWNVi/tGAIEGCmzevFk831zq3zKGEjUQkeoIIIAAAggggAACBwjoaCJrhKzn+02roo5C0lJSUmKCpDofvRZrGibNtaIjlHR0kmfRjPJbtmwR/eK+d28++3rasIyAp0BIe4BqDxlr8t158+Z5Xsfv8pdffmn25+Y2bj4NvxdhZ1QIJCxfLHEVZQFNBaN/PhJ+nBsV981NIIBA0wsUFxfL9u3b3RfSv0ktW7Z0r7OAAAIIIIAAAgggECIBV4+VWOsB2qdPHxPA1CCmt4eVbPOnn34y+//v//7PYGvy6X79+om+V505c+YBL8Cbb74p2hnt6KOP5r3rATpsQGC/QEgDoHpa/aXTctddd5lfULPi5386ZH7SpEmmximnnOKnJrsQcAm4kh8FWrQXaNzu4kCrUw8BBGJYQIe8r1+/3i2gQ5Gys7Pd6ywggAACCCCAAAIIhFbAjgHQgHrihJbJnO2mm24yz/fee2+t0Uo6ddOjjz5q9l133XVNcGVOiUD0CIQ8AHr99dcbneXLl8vJJ58sb7/9tlhduT3Zdu/eLZol/pxzzpGqqirRbzsuv/xyzyosI3CAgLNNzgHbfG3QHqDOrMDr+zoP2xFAILoF9Bv4NWvWuP9W6YT0GgClIIAAAggggAACCDSdgB0DoPsGqTedia8zn3/++dK/f3+ZP3++6Q162223yY033igDBgwQzSw/dOhQGTVqlK/D2Y4AAi6BkM4BqqKDBw+Wa665Rv7yl7/IokWLZPjw4dKmTRvRedQ6d+4sOo/FunXrzIfN8vJy8yJ069ZN3n//fbprGw3+50/Accjh4myZIbLHNS+Kv4qufbq/qvcJ9dRiNwIIxLKAZuPU4KcOG9KSlpYmeXl5sUzCvSOAAAIIIIAAAmER0ACo3UpztVnn9/z8889NrGXKlCny8MMPGzqdU/Taa6+ViRMniiaYpiCAgG+BkAdA9VJPPfWU6dGpv5RlZWWiGcn0sWDBgRm5ddj7jBkzTJDUdzPZg8D/BBISpfL8yyVl8p/9kphv5uITpHL4WL/12IkAArEtsHbtWrG+jNM3kPn5+bx5jO0fCe4eAQQQQAABBMIgoJ/XHDYMgDZlm7dt2+ZXXhNz6vSBzz//vCxevFgcDod0795ddPQSBQEE6hdokgCofvOgc4COHTtWZs+ebTLDa3Z4fehw9w4dOkivXr1Eu3EPGzbMnQmt/uZSAwGRylFXSsIPcyRx4Ryv2eD1j6n+LS2/+l5xdjkYMgQQQMCrgM6ZtGfPHrNP/25p8NPKzOn1ADYigAACCCCAAAIIhEZAP7DZMAAaCW3W96uaUImCAAINE2iSAKjVBM2ge8kll1irPCMQlICzYrfUFC4TqS6X+NZdJD4zT8rue0VS/vqgJL0/1TXRp6PWeZ2Z2VJ+1T1SffLZtbazggACCFgCW7duNSMTrHUd9q7D3ykIIIAAAggggAAC4RForuHkjbk7O7a5MffLsQhEk0CTBkCjCYp7Cb+AY/dmKf/vw1K17APX+Ih98/NpK+Lb9pDU428U+f19UjnySkn8ZrbEb1knzuQUcRx8mFT3O1UklUBG+F8xroiAPQR27dolGgC1SqdOnRg6ZGHwjAACCCCAAAIIhEmgKYeTN9Ut2LHNTWXBeRGwmwABULu9YjHS3pptP8neGReLs6zogDt27PhFSt+5QlKOHS+px14nVUPpZXwAEhsQQMCrQGlpqei8n1bJycmRtm3bWqs8I4AAAggggAACCIRLgCHw4ZLmOggg4BIgTRg/BhEn4Kwqlb3vjPMa/PRsbMXXT7l6h37ouYllBBBAwKeAzkGtwU+n06RJk1atWknHjh191mcHAggggAACCCCAQBMKaADUjo8mJOHUCCDQdAIEQJvOljMHKVC58O/idA1/D6SU/feRQKpRBwEEYlxAs2SuWbPGJOJTCs2i2bVr1xhX4fYRQAABBBBAAIHmETBZ4F2X1mwOdns0jxhXRQCBxgowBL6xghwfcoGq5bMCPqezZK3UbF8qCTm/CvgYKiKAQOwJrFu3TsrKysyNJyYmmozvmvmdggACCCCAAAIIINA8AnacT5MkSM3zs8JVEQiFAJ/+QqHIOUIq4CjePz9fICduaP1AzkkdBBCIHoFNmzaJJj7SEhcXZ4KfycnJ0XOD3AkCCCCAAAIIIIAAAggggIBfAXqA+uVhZ7MIJCQ17LIJBDIaBkZtBGJHYPv27bJjxw73Defl5Ul6erp7nQUEEEAAAQQQQACB8AtoT0pHQviv29grOuhC1lhCjkeg2QQIgDYbPRf2JZDQ7lCpXr3N1+4DtjP8/QASNiCAgEtg9+7dsnnz/vmEO3XqJBkZGdgggAACCCCAAAIIRICAHYeT27HNEfBS0wQEIkKA7y8i4mWgEZ4CSYee77nqdzkx73iJb0UWZ79I7EQgBgXKy8tNxnfr1tu0aSNt27a1VnlGAAEEEEAAAQQQaGYBTYRkx0czs3F5BBAIUoAAaJBwHNZ0Akndh0hi3gn1XyAxVVJPubP+etRAAIGYEqiurjYZ3zXzu5YWLVpIbm5uTBlwswgggAACCCCAQKQLaBIkOz4i3ZX2IYCAd4GQBkB1rrWKigqvV1q4cKH85je/EZ1/TZNPHHbYYXLxxRfLvHnzvNZnY+wKaJKS9LOflYQux/pGSG4lLYZNkoTU9pLwyTRJfOl2SfrLDZL4xhMSt2qx7+PYgwACUS3gdDpl9erVUllZae4zJSXFJD3Sf1coCCCAAAIIIIAAApEhYOYAtWEAlCHwkfHzQysQCEag0QFQ/ZA5YcIE6dKli7Rr106ys7PlvPPOk9mzZ7vb849//EP69u0rb7zxhqxfv16qqqrkp59+kilTpshxxx0nDzzwgOiHVgoClkBcamtpMWKKpJ35mCR0HiCS1EIkPlHiM/Mlue/l0uqy2ZKyfL2k/P5ESXrpj5L4yT8l4Yu3JXH605IyYagk/flKkb37sj5b5+QZAQSiX2DdunVSVlZmbjQhIcEEP/WZggACCCCAAAIIIIAAAgggELsCjUqCtHPnThk4cKBo706r7N27V/71r3/JJ598YraXlJTIZZddJjoUMSkpSY488kjp1q2brFq1Sn744QfTY/TOO+80gdOrrrrKOg3PCEhcXLwkHzrcPOpyJLw/SZL+/qCZM6buPg2lJ8z9SOK2rZfK+6aLpJLxua4R6whEo8CmTZtE/+Zo0R6f+fn5oj1AKQgggAACCCCAAAKRJ+BsdHes8N+THdscfiWuiEBkCjQqAHrbbbe5g58a2NRgaGlpqbz33nsm8+5vf/tb6dChg9TU1Ejv3r1Fe4Lq0HerLFu2zAyDnzt3rui5tOeo1qcg4E8gbsMKSfzHRBP89Dao1doWv+ZnSXz9Makewzyh/jzZh0A0CBQVFcmOHTvct9K5c2cz96d7AwsIIIAAAggggAACESVgxzGgdmxzRL3oNAaBZhQI+jsXDV6+9NJLpunXX3+9zJ8/X5544gl58cUXZcmSJXLMMceIBjbfffdd0ey7H374Ya3gpx7YvXt3ef/9901mXu21M3ny5Gak4NJ2EUj44FWJczrECnT6arfpCfrRVJGKfcNhfdVjOwII2FtARx5s2LDBfRP6RVpWVpZ7nQUEEEAAAQQQQACByBNwuKIRdnxEniQtQgCBQASCDoBq8iKdt1ODmH/605/Ec441/eBpBUe1EX/4wx+kffv2XtuTk5Mj1tB3nReUgkB9AvE/fVNfFbNfA6RxVRUSv3z/FA0BHUglBBCwjYAm3luzZo27vZmZmWY+avcGFhBAAAEEEEAAAQQQQAABBGJeIOgA6M8//2zwTjzxRElMPHAk/RFHHCEZGRmmjg5/91d0+LwW65z+6rIPgbhdhV7n/vQp46pPQQCB6BPQ6VU0+KnPWtLT001Cvui7U+4IAQQQQAABBBCIMgHTW8V1T3Z7jrKXgdtBIJYEDoxcBnj3mtBIi/a+8Vb0A6m1T7O++ytbtmwxu1NTU/1VYx8CRsDZOlvi9+xLdBIQSUbbgKpRCQEE7COgIxA0+Gn9nUlOTjZJjzT5EQUBBBBAAAEEEEAgsgV0urIaG75ts2ObI/sngdYhED6BoHuA9uzZ07Ty008/lT179hzQ4tmzZ0t5ebnZ/s03/ocsf/bZZ6beoYceesB52IBAXQHH4cfW3eR1Xf+oOpNTxdGtl9f9bEQAAfsK6JyfOvenlvj4eBP89DYawb53SMsRQAABBBBAAIHoFnC6AqB2fET3q8LdIRC9AkEHQAcMGCDa42bTpk0yZswY2bVrl1tpwYIFcsUVV5h1/UD67LPPytKlS937PRc0OdK///1vs6lXLwJVnjYsexeo+fXvxBmfUO8weP1CsWbwxSKuICgFAQSiR0BHDezcudN9Q/n5+cIIAjcHCwgggAACCCCAgC0E7Bj81DZTEEDAngJBB0Dz8vLkpptuMnf91ltvmd43Z5xxhvTt21f69+8va9eulRNOOEHGjh1reoKefPLJ8sYbb0hlZaU5ZvPmzfLCCy/IsGHDzBDGgw8+2ARS7clIq8Mp4Ox0kFSPucNMF6O9POsWa5vjoMOletT1dXezjgACNhYoLi6Wbdu2uYZMVYpDaiQ3N1datmxp4zui6QgggAACCCCAQOwJ6Gc2hyuYaLcHAdDY+1nljqNHIOg5QJXgjjvukCVLlsg777xjeuN8/PHHbpk2bdrIc889Z3qJTpkyxXxg/c1vfmMSJrVr1870HLUq65xtzz//vKSlpVmbeEbAr0DNWZeKM62lJP3tfpHS/b2P9SDT8/O4s6XqiodEUviZ8gvJTgRsJLC9bK185PizbDpsjpQnu5Kbud6B5kg3Oco5Qvo5L5FEobe3jV5OmooAAggggAACMS5gx2BiKNv82muvyfTp02XFihWmQ9nxxx8vI0eONMu+fjTmzZsnTz31lEkgrUmn9ZhRo0bJ4Ycf7usQtiOAwP8E4lyJJKwOc0Gj/O1vfzO/uAsXLjS/rGeffbZosLOgoMCcc9asWTJixAivc4V27txZXn31VTnttNOCvj4HBiewe/dur69JcGdrpqNcwc+EuR9J3KrFIpXl4mzXRRxHnybOvF/5bZAG4cvKykQNKOEXyMzMdH/hsX37dqmurg5/I7iidOzYUUpKSqS0tDTiNVZUfynTE/5PqhJdc07rX606w4/aOXvIaMerkiGdIv5erAZmZ2ebLwl1XYf1h+DPsXVqngMUSEhIEP17UFhY6B6hEuChVAuRgPrr6+BwOGTr1q0hOiunaYiATmml/x6Z3vWuJKaU8Avo32Mtmjh2x44d4W8AVzTvS/X9qY5StHOxfpbscA+bKxfJ05v626GptdqYkZgrEzqvrLWtoSv62eecc86RmTNnmkOzsrLMe3L9W9i2bVszRaCOqq1bnnnmGRk/frx5z6g/r5oMVD/TtmrVynRKO/XUU+sewjoCCHgINKoHqHWeSy+9VPThqwwePNhk69UeoTo/qL7B0iRKOufnhRdeKPrLS0EgKIH01lJzyggRfVAQQCAqBXY4VsqbiZdLdULZvvurE/zUjdvifpHX4n8nYx3vuHqCpkSlAzeFAAIIIIAAAghEjYDr/Zwj6An5mk8hFG2+7bbbTPBTpwH885//LEOGDDExEo2XPPTQQzJw4EDTK7RDhw7uG50zZ45cd911Zt77qVOnmqkE9UsTHUl7/fXXy1lnnSW//PKLdO3a1X0MCwggUFsgJAHQ2qf0vqbfLN95553ed7IVAQQQQAABHwLvVdwt1S3/F/z0UUc3b4tbKt/HTZEBzrF+arELAQQQQAABBBBAoLkFrDlAm7sdDb2+zlnamKK9Nl988UVzirvuussEMnVF57V/8MEHZcaMGSaQqb1DPTuZPfDAA2a0xIQJE+S8884zx2sPfu0RumrVKnn66adNjpWJEyeaffwPAQQOFLDhdy4H3gRbEEAAAQSiU2Dlxp9lY4s5+4a9B3CLi+LeCqAWVRBAAAEEEEAAAQSaW0CDoHZ8NMZNp3vRAOagQYPkggsuOOBUmiRay9y5c937dNo2nVZQc6dcfPHF7u3WgrVt0qRJZioNazvPCCBQWyBsPUBrX5Y1BBBAAAEE/AvodCnryxa7ch05/Ff02LtNlnmssYgAAggggAACCCAQqQKhTCgUrnvUgG1jSl5enkyePNnnKRYtWmT2HXvsse463333nen92aNHD3eeFfdO18LRRx8tmoRa5xDWYfAkRPLUYRmB/QL0AN1vwRICCCCAQIQI7Nq1a19ioAYEP7XpTqlxPQIPmEbI7dIMBBBAAAEEEEAg5gR0OLndHk0VtNVM8Lfeeqt8+OGHJrG0zgtqFd2nJScnx9p0wLO1b9kyOgMcgMMGBP4nQA9QfhQQQAABBCJKQLNZrlu3zrSpRYUrM65+1R7gfEttJN9Vle/2IuoFpTEIIIAAAggggEAdgfi4ZLk8+506Ww9cnVQ03PXVds2BO5pgS0HysXJ6ywl+z1zlLPW7v6E7v//+ezMUfvny5ebQ448/Xv71r3+ZHp3WubRjgBbNEO+raA9QLVZdX/XYjkAsCxAAjeVXn3tHAAEEIkxAs1muWbPGDPPRprVN7SJdpJ+sl+8CamlP568DqkclBBBAAAEEEEAAgeYTcEi1fF76bL0NqHGNBmrssPN6L/K/CttqVtbbptS4VnJU2r4kRIGe11+9xYsXy549e0Qzvm/ZskWWLl0q7777rlx22WVmzk89VucA1WIFOc1Knf9lZmaaLaWloQ3Q1rkMqwjYWiDoAOgtt9wiL7/8ckhvXrt863kpCCCAAAKxJ+BwOEzwU4OgWlJTU80QoCTHBJkcP3Lf0HY/PUFbOHPkGOflsQfHHSOAAAIIIIAAAjYT0CmLfqr8qP5W+3nvV//BDauxy7mt3jZlJuQ27KT11B4zZow72/uCBQvkwgsvlLFjx8p7770nb7/9tjk6IyPDPOsoKV/F2qfvnykIIOBdIOgAaEJCghQVFXk/a5BbrV/aIA/nMAQQQAABGwvosHfr70BiYqIJfsbHx7t6gPaVIc6J8u+4211BUNcQKM8h8f9bTnNmymjHy5Im+94g2piBpiOAAAIIIIAAAjEh0FTzaTYlXqjbrJndrdK7d29566235MgjjzTD4L/99lsZMGCAdOrUyVTxF3+x9lnBUuucPCOAwH6BoAOgDz74oJmDQntt1tTsm5Nj8ODBfrtl77+s9yWylXl3YSsCCCAQ7QKbNm1yz1mkbwTz8/MlOTnZfdu9nb+RHGc3+Sz+UVkj37i27xsMlSgpcqhjiJzivMkV+tz35tB9EAsIIIAAAggggAACESmg7+Q0AZLdSlO3+Ve/+pXJ4q69QefPn18rALpz506fXFYAtF27dj7rsAOBWBcIOgCqvXJuvPFG6dKli+mmXV1dbYYrTps2LdZNuX8EEEAAgQYI7NixQ/RhFf27kp6ebq26nztLH7nY8U8pk2LZKetcqY4SJVsOkiRhqI8biQUEEEAAAQQQQMAOAq7gZ6h7U4bjthvbZu3VqTGTrl27yg033OC1ySkpKWZ7UlKSedb3xlo0w3tlZWWtTgK6vbCw0MwfqqN0tRcpBQEEvAs0OlXuqFGj5IEHHjBnf+edd+S5557zfiW2IoAAAgggUEdAJ33X3p9W6dixo1iTuFvb6j6nSaarr+eR0kEOJfhZF4d1BBBAAAEEEEDAJgLam9Juj8YGQPfu3StPP/20TJw4Uax57z1fLg1mLlq0yGzq06ePeS4oKJB+/fpJcXGxzJw507O6WX7zzTdFO6QdffTR0rJlywP2swEBBPYJNDoAqqe56aabpG/fvuaMN998s2zbtm3f2fk/AggggAACPgTKy8tN0iNrd1ZWluTk5FirPCOAAAIIIIAAAghEqYAZAu+6N4cNH415SY4//njp3LmzGf00YcIE0SSgVtG58MeNGyeayV3r9erVy9plYi66cu+994rnUPgNGzbIo48+aupdd9117vosIIDAgQJBD4H3PJV2tdaM8PqthP6yPvbYY/LII494VmEZAQQQQAABt4B+S71mzRr3m74WLVqYN4PuCiwggAACCCCAAAIIRLVAY3tTNgdOY9usw9tff/11Ofnkk+Xxxx+X1157zUwpqFMMagKk5cuXm1wrU6ZMEd1mlfPPP1/69+8vc+fONXGXkSNHmuHweryOpho6dKjo6FwKAgj4FghJAFRPf9RRR5mh8PoL+PXXX4v27ElNZV423/TsQQABBGJTwOl0muCnzmGkRd8IatIjzyyYsSnDXSOAAAIIIIAAArEj0NhgYnNI7UvD2bgrH3fccaJzgf7+97+Xb775xt2DMzExUS666CITGK07Kko7nX3++edyzTXXiAZHH374YdMInSf02muvNUPqPQOmjWshRyMQnQIhC4Aqzy233GIe0UnFXSGAAAIIhEJg/fr1ZrSAnkvfzGnwU58pCCCAAAIIIIAAArEj0NQZ1ZtCMlRt1vk9tePY9u3bZenSpZKRkSE9evQwHQN8tVs7mE2aNEmef/55Wbx4sRlJ1b17d2ndurWvQ9iOAAIeAiENgHqcl0UEEEAAAQQOENi8ebOZwN3aocFPK9OltY1nBBBAADYMvaIAAEAASURBVAEEEEAAgegW0J6UtuwB6krcFMqiPT3r9vas7/za69NKkFRfXfYjgMB+AQKg+y1YQgABBBBoQgGdsF2/5baKTgCvc39SEEAAAQQQQAABBGJPoMaGt7w/ZZENG0+TEYhxAQKgMf4DwO0jgAAC4RDYu3evaJZKq7Rv317atGljrfKMAAIIIIAAAgggEEsCrp6Uzv05fmxz53Zss21waSgCTSwQ0gCozl0xffp0WbJkiaxcuVJ2795t5nlzOBxmXgqd16Jt27amu/YxxxwjJ510kqSnpzfxLXJ6BBBAIPIESivXyZY9M2Vv1WqJk3hpldxd2rc6S1IT20VeYxvZooqKCpP0SJMfadG/BRoApSCAAAIIIIAAAgjEpoC+KwzVfJrhFLRjm8Ppw7UQiGSBkARA3377bXn22Wfl008/FesDrr+bfu+998zu7Oxs+cMf/iA33HCDtGrVyt8h7EMAAQSiQsDhrJKl2yfK2uLJrvupPYhm6Y6H5JA218pBba6OmozoNTU1Jvipz1rS0tIkLy/PLPM/BBBAAAEEEEAAgdgVsGMw0Y5tjt2fMO4cgdoCjQ6ATpgwQR555JFaZ9UPuF26dDG9fDRTWXx8vJSXl4sOgdy4caPoPHBaCgsL5Z577hENoH7wwQfSqVOnWudhBQEEEIgmAafTIQs2/V627f3Y6205nJWyrPDPUl6zTQ5rd6/XOnbaqF+IrVmzRrQHqJbk5GQpKCiImuCunV4L2ooAAggggAACCESaAEmQIu0VoT0IRLdAowKgf/rTn9zBzyOOOELGjx8vgwYNEs3q669oAPSLL76QV155Rd5991354Ycf5Ne//rXMnz/fBEv9Hcs+BBBAwK4C60v+6TP46XlP64r/Lu1aDJScFid7brbdsn7hpV98adEvwvRvQ2Jio/7s2M6ABiOAAAIIIIAAAggcKGCGwB+4OeK37JvQKeKbSQMRQMCLQNDTDpeWlsof//hHc8qzzjpLvv/+exk7dmy9wU89ICsrS84991x555135NFHHzXn0CDo1KlTzTL/QwCB6BAoq9kuRVU/yp6a9QFNjxEdd+37LlbvnOR7Z509q3f+tc4We61u3bpVioqK3I3u2rWr6IgACgIIIIAAAggggAACrknwzRygOqTcbg9ePQQQsKdA0F1x5s6dK9XV1aLzeM6YMUOSkpKCErjpppvk22+/NcmTZs6cKRdffHFQ5+EgBBCIHIG15e/LT3ufleLqn92NSotvL93SL5FfpY9zb4ulhbKqzVJatSbgWy4q/dYVNHa4hosH/T1VwNcKdcWSkhLRAKhVcnNzmefZwuAZAQQQQAABBBBAwAg47Pc215aJm/hxQwCBfQJB/5Pz1VdfmTOceuqpJqlFY0CHDBliDl+2bFljTsOxCCAQAQJzd90uc0quqRX81GaVObbKoj2Pyuydo6WipiQCWhreJlTW7O8NGciVnVItVY5dgVSNqDo6OmDdunXuNuXk5JgvytwbWEAAAQQQQAABBBCIeQEdSm7XR8y/eAAgYFOBoAOgVVVV5pYdjtpZjINx0ARJWsgEH4wexyAQOQI/731JVpZN89ugwqoFMnvzlX7rROPO5IQ2DbqtOEmUpPjWDTqmuStXVlaapEea/EhL69atpWPHjs3dLK6PAAIIIIAAAgggEIECdhv6brU3AilpEgIIBCAQdAC0e/fu5vSazGjXruB7KekH5bfeesucq2/fvgE0mSoIIBCJApWu3oo/7n0yoKat3TtT1u/5IqC60VIpLamjpCd1Dfh22qT1t9Xwd/0yTDO+69QoWtLS0iQvLy/g+6UiAggggAACCCCAQOwI6NflNTZ8NL77V+y8xtwpApEmEHQA9IwzzjC9e3bs2CFDhw6V3bt3N/jeNPipmeM//vhjc+yJJ57Y4HNwAAIIRIbA5srPpdpZGnBjlu2cHnDdaKmYnxX4/KcNqRsJPmvXrhWrN79meteM75r5nYIAAggggAACCCCAwAECmvwowZ6PA+6FDQggYAuBoD+dtm3bVu644w5zk59//rkUFBSIJjSaNWuWbNiwQXwNjdfeovPnz5ennnpKevfuLc8884w5hyY/0kAqBQEE7Cmwu3p1gxpeVBF7c/7mZfxWcloMrNcpL+NCadfy1HrrRUqFjRs3ur8Ei4uLM8HPYBPjRco90Q4EEEAAAQQQQACBphXQXqB2fDStCmdHAIGmEgg6C7w26Oabb5aysjK5++67pbCwUB577DHz0H364Vfnf9NhkNoLSHsGaXKMPXv26O5a5bjjjpMXX3yx1jZWEEDAXgJx0rDvU+LjXF/5xljRjO59Oj0vP297QNaVTHHdvb7l21/iJEkOzr5aDmkzfv/GCF/avn27+fffaqYOe09PT7dWeUYAAQQQQAABBBBA4AABfRdc4+oFardixzbbzZj2ItBUAo0KgGqj7rrrLhk0aJA89NBD8sEHH7jbqUmSNCjqr/Ts2VOuvfZaueKKKxgq6Q+KfQjYQCAjsUeDWpmdeliD6kdL5fi4ZDms/X2Sn3WZbNkzU/ZWrhRNeNQypbt0bPlrSU3qYJtb1alPNm/e7G6vJjzKyMhwr7OAAAIIIIAAAggggIAvAU0qZLfitGGb7WZMexFoKoFGB0C1Yccff7z8+9//lq1bt8o333wj3377reiQyJKSEpMgSYOhLVq0MFnetXfQYYcdJgMGDDDPTXVjnBcBBMIr0CHlREmJayMVzqKALtwz64KA6kVrpRbJBXJwm6tse3va+1/n/bRKdna25OTkWKs8I4AAAggggAACCCDgV8COCYXs2Ga/LwI7EYghgZAEQC2v9u3by7nnnmse1jaeEUAgNgQS41Kld6s75JtdN9R7wz0zLpH26b3rrUeFyBTQL7U047s113PLli0lNzc3MhtLqxBAAAEEEEAAAQQiTkCHwDsaNoNWRNwDAdCIeBloBAJBCYQ0ABpUCzgIAQSiRqAgbbiUObbID3v+5POeOqecKSe2e9TnfnZEtoAGPTX4qUFQLampqdK1a9fIbjStQwABBBBAAAEEEIg4gZqIa1H9DbJjm+u/K2ogEBsCBEBj43XmLhEIm8ChLa6WdknHyE+lz8uWii+kRipc146Ttkm9pVvaGOmaOlQS4lPC1h4uFFqB9evXm+R3etbExEST8T0hIfYSWoVWlbMhgAACCCCAAAKxJWCSINVJCGoHAYcN22wHV9qIQDgEQhIALSoqkunTp8v8+fNlx44d0qdPH9HM7qecckpA93Dqqaea3kS/+93vRB8UBBCwt0Db5D5yUvJfxel0SpVzlyTGtZD4uJD8c2NvGJu33prbWW8jLi7OBD+Tk5Ntflc0HwEEEEAAAQQQQKA5BByuThJ2K3Zss92MaS8CTSXQ6IjEJ598ImPGjJFNmza52zhjxgyzPGTIEHnppZekU6dO7n3eFr766isTAD399NO97WYbAgjYVECDZMlxZAW36ctXq9n6RVdhYaF7W5cuXSQ9Pd29zgICCCCAAAIIIIAAAoEK7OsBGmjtyKnHEPjIeS1oCQINFWhUAHTevHkyePBgdyIMDXakpKRIeXm5aYdmhteM75MnT5ahQ4c2tG3URwCBEAk4nNWyzvGFbHR86xqQXizpkiNdEk6Q3PhjQnQFThPNAnv27JENGza4b7Fjx46SmZnpXmcBAQQQQAABBBBAAIGGCtTYcDi5Hdvc0NeF+ghEq0DQedc0EcbVV19tgp+tWrWSv/71r1JSUiL6QXnBggUycuRIY1ZcXCwjRoyQt956K1oNuS8EIlpgq2OhTKs8Q96v+p0sqHlRfqp5XebV/EXerhwtb1YMkxLH2ohuP41rXgH9Qmvt2v0/I1lZWZKTk9O8jeLqCCCAAAIIIIAAArYWMFngXUPgdUi5nR5OGw7bt/UPCo1HIIQCQQdAv/32W/nuu+9MU/75z3/KuHHjRAOhmgyjV69e8sYbb4gOhdceoZotePTo0fLRRx+FsOmcCgEE6hPY7Phe3qocJcXOVV6rbnUulDcrz3UFQdd53c/G2Baorq42Gd9ravYN9tEh7507d45tFO4eAQQQQAABBBBAoNECGgCtdvUAteOj0TfPCRBAoFkEgg6ALl261DS4X79+onN9eivDhw+XWbNmSevWrU0QVHuCLly40FtVtiGAQIgFapwV8lHlta4s7JV+z1zuGhL/SdUNfuuwM/YENIHVmjVrpLJy38+PJjvKz883yY9iT4M7RgABBBBAAAEEEAi1QLXrhHZ8hNqB8yGAQHgEgg6ALlu2zLTwiCOO8NvSk08+Wd555x3RD8+7d+82wdL169f7PYadCCDQeIEVjg9lt2wM6ESbnfNki2N+QHWpFBsC+u90aWmpuVnt2V9QUCCJiY2aNjo24LhLBBBAAAEEEEAAgXoF9iVBinN11rDXgyzw9b60VEAgYgWC/jTbsmVLc1N79+6t9+ZOOeUUeeWVV+Tiiy822eLPPvts+fLLL82Q+XoPpgICCAQlsMExp0HHaf0O8X0adAyVo1Ng8+bNovM3W6Vr165mOhNrnWcEEEAAAQQQQAABBBoj0EMOl3myqTGnaJZj4yXoPmTN0l4uigAC+wWCDoB269bNnEUzwev8cNpDyF+58MILZd26dXL77bfLokWLTGKk9957z/QM9Xcc+xBAIDiBMueOBh1Y5ixsUH0qR6fAzp07Zfv27e6b0zk/rS+83BtZiDiBnfGFMj95juxI2CqtHBlyZGU/6VyTH3HtpEEIIIAAAggggIAKaCAxU9qAgQACCIRNIOgAaO/evc1ccCtXrpTHH39cbr755nobfdttt5k55V566SWTEGnUqFEyderUeo+jAgIINFwgNa5hbygaWr/hLeKISBfQIe8bNmxwN7N9+/bSpk3Dfo7cB7MQFoHSuL3ybKsH5f3018QR56h1zQHlJ8uNux6QjjVdam1nBQEEEEAAAQQQQAABBBCINYGg+29rD1Ad0q7llltukTFjxshXX30l2nvIX3nuuefcSZN0btABAwaIw1H7Q5u/49mHAAKBCeTGHxNYxf/Vamj9Bp2cyhEvoMmOVq9eLZr8SEtGRoZoAJQSuQKlcXvk99kj5d0W08Th+q9Wcb2M36Z+LuPaniNrE1bU2sUKAggggAACCCCAAAIIIBBrAkEHQBXqwQcfFB0eqeXvf/+7nHDCCXLRRReZdV//06HyM2bMkKFDh5oqS5YsMUPodcX64O3rWLYjgEDgAt3iz5YW0iGgA9rFHSWd4vsFVJdK0Seg05ho8FOftaSlpUleXl703WiU3dETre+WFUk/7buruDo397/1XfHFckfWVa4EA/te2zq1WEUAAQQQQAABBBBAAAEEYkKgUQFQDX4uXLhQzjnnHDdWbm6ue9nXQkpKigmCPvzww5Kenu6rGtsRQKARAolxqXJ60hOuvIr+5+dNllaueo814kocaneBtWvXSkVFhbmNpKQkk/E9Lq5uRM3udxld7d+csF5mps1wfXNY/32tSVoun6d+WH9FaiCAAAIIIIAAAggggAACUSrQqACommRnZ8u7774rq1atMpnezz333ICoEhMT5dZbb5Wff/5ZRo4cKa1btw7oOCohgEDgAp0TjpVhyVNdIc5OXg/KjvuVjEh+S7LiD/G6n43RL6DJ6fbs2WNuND4+XvLz80X/faZEtsC3KZ+L69uNfY8AmvpNyn8CqEUVBBBAAAEEEEAAAQQQQCA6BUL2KbegoMD0Gmookw6zfOONN8xhZWVlDT2c+gggUI+Azu15UcpnssrxkWx0zJUKZ7Gkx+VIl/gTpGv8Ka5kZo3+HqSeFrA7UgU2b94sRUVF7uZ17drVDH93b2AhYgW2JWxuUNu2JWxqUH0qI4AAAggggAACCCCAAALRJBCyAGgoUHTeOUp4BWK5p5cO8Y2V+0+UROkp55lHeH/CvF9NexpaRecFpoRfoKSkRHbt2uUKgLsmSXC9Bjp9SVZWVvgbEsNX9JxmQP8tasg82K2kYaMmWrrqx8q/dw35kbL+LdLfAXwaIhe6unV/D0J3Zs4UqID1d1h/Bzxfj0CPp17oBNSff4tC59mQM3n+HjTkOOoigAACCNhHIM71gSuAGcTsc0O0NHCB0tJS5mANnIuaCESNgP7u//LLL+Jw7Msc3qFDBxMAjZobjIEb+Va+kAvl9IDv9BZ5UK6QmwKuT0UEEEAAAQQQsJeAvq+zvtizV8tpLQIIIBAegYjqARqeW+YqloBmfN6xY4e1GlPPbdq0kfLyctFAECX8Aq1atRJNhqZl586d7uzj4W9J7F2xqqpKli1bJtXV1ZKZmWl6muhrEav/FjTnT0BGRoZo0ikthYWFDeoBWiC/koLM7rI6cZn/W3B9xZkiqXJS0Vmywxmb/977A9IPivr3QHtE6+8GJfwC6q+vg35w95ySI/wtid0r6r9D+u8Rf4+b72egbdu25uL6t7m4uLj5GhLDV9b3Qvr+1O7vh6yfpRh+Kbl1BBBAwKcAAVCfNLGxI1Y/8GnHZ/2wFav339w/3VbPQ22HvtnXB6XpBdR95cqVJvivV9NpRzp27Oheb/oWcAVPAc8BGPpvkee6Zz1fy7cWPyzXZP9GquN8BO50fIcrUdI1JXdIRmUbqXL9R6ktYA151H+D+HtQ2yZca54/97wG4VKvfR1r2Lv665fjlOYT0N8Hfg+ax9+aegD/5vHnqggggEA4BPZPxBeOq3ENBBBAAIFmE1i7dq1Yyeb0jX63bt0YKtVsr0bjL3xYVR95tOhvklHjfe7WREmS60rulWGlFzX+YpwBAQQQQAABBBBAAAEEELCxAD1Abfzi0XQEEEAgUIGNGzfK7t27TXXt7ZOfn+8efh3oOagXeQJHVx4vr2//Qt5Lf02+S/mvFMZvk5aO1nJUZX85p2y0dKjpHHmNpkUIIIAAAggggAACCCCAQJgFCICGGZzLIYAAAuEW0PmsdI5Jq+Tl5ZEAzcKIgucWzlYyeu/l5hEFt8MtIIAAAggggAACCCCAAAIhF2AIfMhJOSECCCAQOQLa63PTpk3uBnXq1Mkku3BvYAEBBBBAAAEEEEAAAQQQQACBKBdolgCo54T3Ue7L7SGAAALNJlBeXi4676dVNNsy2UEtDZ4RQAABBBBAAAEEEEAAAQRiRSBkAdBdu3bJ559/LkuXLvVqt27dOrn66qtFh15q8o3c3Fy56KKLZNGiRV7rsxEBBBBAIHgBzWq9evVq0czvWlq0aGH+3Q3+jByJAAIIIIAAAggggAACCCCAgD0FGh0ALS0tlRtvvFF0WOUpp5wi06dPP0Bi/vz50rdvX3n++edl/fr15gO5DsmcOnWq2f7yyy8fcAwbEEAAAQSCE9Be9hr8rKqqMidISUkxSY80+REFAQQQQAABBBBAAAEEEEAAgVgTaFQSpJKSEjnrrLPk66+/drt5JtrQjXv37pVhw4aJJuHQkpCQIMcdd5wJhK5Zs0a0l9K4ceOkffv2cvbZZ5s6/A8BBBBAIHgB7XFfVlZmTqD/5mrGd32mIIAAAggggAACCCCAAAIIIBCLAo3qATphwgR38DMnJ0fGjx8vF1xwQS3HRx991AQ7dWO3bt1k48aN8sUXX5jeSe+//777Q/k111wjFRUVtY5lBQEEEECgYQLau16/nNKiPT41+Kk9QCkIIIAAAggggAACCCCAAAIIxKpA0AHQDRs2yEsvvWTcevXqJQsWLJAnn3xS+vfv77bUYZivvvqqWdcP4jrUXXt6WmXIkCFyxx13mFVN1PHxxx9bu3hGAAEEEGigQFFRkbu3vR7auXNnM/dnA09DdQQQQAABBBBAAAEEEEAAAQSiSiDoAOj333/vTq6hc3tqUqO65bvvvhMdiqll8ODBcuKJJ9atIrfccovEx+9rxrvvvnvAfjYggAACCNQvoNON6BdTVunQoYNkZWVZqzwjgAACCCCAAAIIIIAAAgggELMCQQdArezthx12mBxzzDFeAT/99FP39qFDh7qXPRfS09OloKDAbFq5cqXnLpYRQAABBAIQ0OlDdE5lq2RmZkq7du2sVZ4RQAABBBBAAAEEEEAAAQQQiGmBoAOgP/zwg4E76KCDfAL+5z//ce8bNGiQe7nuwqGHHmo2bd26te4u1hFAAAEE/AjU1NSY4Kc+a9Evlbp06eLnCHYhgAACCCCAAAIIIIAAAgggEFsCQQdArd6a2dnZXsUqKyvlyy+/NPs6deok3bt391pPNxYXF5t9qampPuuwAwEEEECgtoDOs6w9P60EcsnJySbpkc65TEEAAQQQQAABBBBAAAEEEEAAgX0CQQdANaO7Fl+9Nr/66ivROem0nHbaaebZ2//0A/zChQvNLs0kT0EAAQQQCExA5/y0/p3VuZTzXRnfExMTAzuYWggggAACCCCAAAIIIIAAAgjEiEDQAdCjjjrKEK1YscIr1axZs9zbzzjjDPdy3QXtSbp7926zuWvXrnV3s44AAggg4EVgy5YtsnPnTvceDX7Si97NwQICCCCAAAIIIIAAAggggAACboGgA6C9evUyJ1m+fLnMnj3bfUJdKCsrk8mTJ5ttOiTzzDPPrLXfc+XJJ590r2qmeAoCCCCAgH8BnTZk27Zt7kq5ubnSsmVL9zoLCCCAAAIIIIAAAggggAACCCCwXyDoAKhmfrc+cI8dO1aspEjV1dVyww03iPZO0nLeeeeJr3lCp02bJs8++6ypl5GR4XeovKnE/xBAAIEYFygtLZX169e7FTTbu69/Y92VWEAAAQQQQAABBBBAAAEEEEAghgWCDoDqB+4777zT0K1du1a0R6hmhNftL7zwgtmel5cnTzzxRC1ezVSsPUavvPJKGTdunHvf/fffL61atXKvs4AAAgggUFtAk8tp0iOdO1lL69atpUOHDrUrsYYAAggggAACCCCAAAIIIIAAArUEGpUt4+abbzY9Pa0g5+rVq90nz8zMlA8++EA6duzo3qYL2uNz/PjxtbaNHj1arr766lrbWEEAAQQQ2C+gXx5p8FN72WtJS0sT/ZKJggACCCCAAAIIIIAAAggggAAC/gUaFQCNi4uTxx9/XM4//3x57rnnZMmSJaY3ks75OWzYMJORuO7lPTO9a4/Pm266yfQk1XNREEAAAQS8C2hP+/LycrMzKSnJ/Puqmd8pCCCAAAIIIIAAAggggAACCCDgX6BRAVDr1Mcff7zoI5By2GGHmR6g+jxy5EjRnqIUBBBAAAHfAhs2bJA9e/aYChr0zHdlfNcgKAUBBBBAAAEEEEAAAQQQQAABBOoXCEkAtP7L7K9x5JFHimfm9/17WEIAAQQQqCug2d6Liorcm3XYuw5/pyCAAAIIIIAAAggggAACCCCAQGACjJ8MzIlaCCCAQNgFdu3aZeZZti7cqVMnk/jIWucZAQQQQAABBBBAAAEEEEAAAQTqFyAAWr8RNRBAAIGwC5SVlcm6devc123btq3og4IAAggggAACCCCAAAIIIIAAAg0TCHoI/GeffSaffvppw65WT+2BAwfKqaeeWk8tdiOAAALRLVBVVWUyvjscDnOjmjBOe39SEEAAAQQQQAABBBBAAAEEEECg4QJBB0C/+OILeeCBBxp+RT9HJCYmEgD148MuBBCIfgENeq5Zs0Y0CKolNTVVunbtGv03zh0igAACCCCAAAIIIIAAAggg0EQCDIFvIlhOiwACCAQjoMPedfi7Fv1SSDO+a+Z3CgIIIIAAAggggAACCCCAAAIIBCcQdA/QSy65RE444YTgrurjqIMOOsjHHjYjgAAC0S+wadMm0cRHWuLi4kzwMzk5OfpvnDtEAAEEEEAAAQQQQAABBBBAoAkFgg6AFhQUiD4oCCCAAAKNF9ixY4fowypdunSR9PR0a5VnBBBAAAEEEEAAAQQQQAABBBAIUoBxlUHCcRgCCCAQKoHdu3eL9v60SseOHSUzM9Na5RkBBBBAAAEEEEAAAQQQQAABBBohQAC0EXgcigACCDRWoLy8XNauXes+TVZWluTk5LjXWUAAAQQQQAABBBBAAAEEEEAAgcYJEABtnB9HI4AAAkELVFdXm4zvmvldS4sWLaRz585Bn48DEUAAAQQQQAABBBBAAAEEEEDgQIGgA6Cff/653HPPPXLfffcdeNYGbklLS5OEhISQnKuBl6Y6Aggg0CwCTqfTBD8rKyvN9VNSUkzSI01+REEAAQQQQAABBBBAAAEEEEAAgdAJBB0A/c9//iP33nuv3H///T5b8+yzz8pZZ50ll156qc86uqOmpka0B5QGBCgIIIBALAisX79eSktLza3qF0D5+fnmi6BYuHfuEQEEEEAAAQQQQAABBBBAAIFwCgSdBT6QRi5ZskRmzpwpXbt2DaQ6dRBAAIGYENi8ebMUFxebe9Uenxr81B6gFAQQQAABBBBAAAEEEEAAAQQQCL1A0D1AQ98UzogAAghEv8DOnTtl+/bt7hvVOT917k8KAggggAACCCCAAAIIIIAAAgg0jQAB0KZx5awIIIDAAQJ79+6VDRs2uLe3b99eNOs7BQEEEEAAAQQQQAABBBBAAAEEmk6AAGjT2XJmBBBAwC1QUVFhkh5Zcx1nZmaKBkApCCCAAAIIIIAAAggggAACCCDQtAIEQJvWl7MjgAACJtHbmjVrzLNypKWlSZcuXZBBAAEEEEAAAQQQQAABBBBAAIEwCBAADQMyl0AAgdgV0B6fGvzUHqBakpOTpaCgQDT5EQUBBBBAAAEEEEAAAQQQQAABBJpegABo0xtzBQQQiGGBjRs3is79qSU+Pt5kfE9MTIxhEW4dAQQQQAABBBBAAAEEEEAAgfAKEAANrzdXQwCBGBLYunWrFBUVue+4a9eukpqa6l5nAQEEEEAAAQQQQAABBBBAAAEEml6AAGjTG3MFBBCIQYHi4mLRAKhVcnNzpVWrVtYqzwgggAACCCCAAAIIIIAAAgggECYBAqBhguYyCCAQOwKlpaWyfv169w3n5ORIdna2e50FBBBAAAEEEEAAAQQQQAABBBAIn0BIJqLbvHmz1xZb897V1NSIrzpeD2QjAgggYFOByspKk/RIkx9pad26tXTs2NGmd0OzEUAAAQQQQAABBBBAAAEEELC/QKMDoNXV1dKpUye/Ehs2bKi3jt8TsBMBBBCwgYDD4TDBT/13UUtaWprk5eXZoOU0EQEEEEAAAQQQQAABBBBAAIHoFWAIfPS+ttwZAgiEWWDt2rVSXl5urpqUlGQyvmvmdwoCCCCAAAIIIIAAAggggAACCDSfQNA9QHv27CnDhw8Pacv1nBQEEEDAjgIbN26U3bt3m6Zr0FMzvmsQlIIAAggggAACCCCAAAIIIIAAAs0rEHQAdNSoUaIPCgIIIBDrAtu3b5fCwkI3gw57T09Pd6+zgAACCCCAAAIIIIAAAggggAACzSfA2Mzms+fKCCAQBQK7du2qleRNEx5p4iMKAggggAACCCCAAAIIIIAAAghEhgAB0Mh4HWgFAgjYUKCsrEzWrVvnbnl2drbk5OS411lAAAEEEEAAAQQQQAABBBBAAIHmFyAA2vyvAS1AAAEbClRVVZmM75r5XUvLli0lNzfXhndCkxFAAAEEEEAAAQQQQAABBBCIboGwBUBXrlwpl156qRx88MHSqlUrOfnkk+W2226TX375JbqFuTsEEIg6AQ16rlmzRjQIqiU1NdUkPYq6G+WGEEAAAQQQQAABBBBAAAEEEIgCgZAEQF9//XUT0NThn3369JE77rhDli5d6ub54osv5PDDD5fJkyfLqlWrZM+ePaLbHn74YenXr5/MmDHDXZcFBBBAINIFdNi7Dn/XkpiYKPn5+ZKQkBDpzaZ9CCCAAAIIIIAAAggggAACCMSkQNBZ4C0tDWJqT06rFBUVyYIFC+SFF16Qr7/+Wtq2bStDhw6V8vJyq4pkZGRISUmJWd+9e7eMGDFCZs+eLQMHDnTXYQEBBBCIRIGNGzeKJj7SEhcXZ4KfycnJkdhU2oQAAggggAACCCCAAAIIIIAAAi6BRvUAfeONN+T22293Q7Zp00Z69Ohh1gsLC+XXv/61PPjgg+5gp/YMXb58uRQXF5ueoFdddZX72EcffdS9zAICCCAQiQL675o+rNKlSxdJT0+3VnlGAAEEEEAAAQQQQAABBBBAAIEIFAg6AKpz311++eXidDolJSVFPvzwQ9m+fbsZ+q7D3Hv37i0rVqyQxx57zNz2mDFj5P7775dDDjnErBcUFMhzzz0nF154oVmfOXNmrWzKEWhFkxBAIIYFdOoO7f1plY4dO0pmZqa1yjMCCCCAAAIIIIAAAggggAACCESoQNAB0Dlz5riHgU6cOFHOPPNMiY/fdzoNbr7yyitmbjzrvv/0pz9Zi7Wer7zySve6JkqiIIAAApEmoFN4aNIjq2RlZUlOTo61yjMCCCCAAAIIIIAAAggggAACCESwQNABUO3daZVhw4ZZi+7nXr16mcRHuqFDhw7Srl079z7PhQEDBrhXPXtXuTeygAACCDSjQHV1tQl+auZ3LS1atJD/Z+9O4CMp6/yP/zLJ5JrMZG4yV5IZQEAOERVQEBYV8VjFC29FV/6CF3KIsIogAgqigMIq64HKLusBiCCHIguCigqooIIgx2SODMNcmSOTzOSY/j/fR5/a6k530t3pdPr4PK/XTFdXPfXUU++q6iS/fo7FixdPYo04NAIIIIAAAggggAACCCCAAAII5CKQdwA0Pg6euoKmS2G9WktlSpo8JMyevGbNmkzZWI8AAggUXUBDfKjl58DAgD+2hvvodDO+a/IjEgIIIIAAAggggAACCCCAAAIIlIdA3gHQ/v5+f4YKBDQ2NqY926amJr8+vKbN5FaGrvOhzEz5WI8AAggUU2DVqlXW19fnD6kvahT8DF/YFLMeHAsBBBBAAAEEEEAAAQQQQAABBPIXyDsAGg45WjCAVlJBiVcEECg3gWeeecY2b94cVVvBT7UAJSGAAAIIIIAAAggggAACCCCAQHkJjDsAWl6nS20RQACBsQV6enps/fr1UUaN+amxP0kIIIAAAggggAACCCCAAAIIIFB+AgRAy++aUWMEEJhAge3bt9vq1aujI+y22242e/bs6D0LCCCAAAIIIIAAAggggAACCCBQXgIEQMvrelFbBBCYQIGdO3f6SY80+ZFSa2urKQBKQgABBBBAAAEEEEAAAQQQQACB8hWoG2/Vh4aGbM6cOWmL6e3t9esffvjhjHmUYXBwMO3+rEQAAQSKJTA8POyDn3pV0uRt7e3txTo8x0EAAQQQQAABBBBAAAEEEEAAgQkSGHcAVPXatGnTqNVTQGGsPKMWwEYEEEBgAgXU4nPFihWmFqBKU6dOtaVLlxoTuU0gOkUjgAACCCCAAAIIIIAAAgggUCSBvAOgavX5nOc8p6DVzNSStKAHoTAEEEAgRaC7u9tCi/UpU6aYZnyvq8v74zGldN4igAACCCCAAAIIIIAAAggggMBkCuT9F/5HP/pR0z8SAgggUM4C69atS2qh3tHR4bu/l/M5UXcEEEAAAQQQQAABBBBAAAEEEPg/ASZB+j8LlhBAoMoEtmzZYmvXro3OetGiRTZ9+vToPQsIIIAAAggggAACCCCAAAIIIFD+AgRAy/8acgYIIJCHQF9fn61cuTLac+7cuaNO1hZlZAEBBBBAAAEEEEAAAQQQQAABBMpKgABoWV0uKosAAoUQGBwc9DO+a/IjJbX6XLhwYSGKpgwEEEAAAQQQQAABBBBAAAEEECgxAQKgJXZBqA4CCEyswK5du3zwc2hoyB+oqanJNO4nCQEEEEAAAQQQQAABBBBAAAEEKlOAAGhlXlfOCgEEMgisWLHC+vv7/VbN9K4Z3zXzOwkBBBBAAAEEEEAAAQQQQAABBCpTgL/6K/O6clYIIJBGoLu727Zt2+a31NTU+ODn1KlT0+RkFQIIIIAAAggggAACCCCAAAIIVIoAAdBKuZKcBwIIjCqwYcMG27hxY5Snvb3dmpubo/csIIAAAggggAACCCCAAAIIIIBAZQoQAK3M68pZIYBATECtPtesWROt0YRHra2t0XsWEEAAAQQQQAABBBBAAAEEEECgcgUIgFbuteXMEEDACWi8T437GdLs2bNt7ty54S2vCCCAAAIIIIAAAggggAACCCBQ4QIEQCv8AnN6CFSzgGZ67+rqMs38rtTS0mKLFy+uZhLOHQEEEEAAAQQQQAABBBBAAIGqEyAAWnWXnBNGoDoEEomELV++3AYHB/0JNzQ0WEdHR3WcPGeJAAIIIIAAAggggAACCCCAAAKRAAHQiIIFBBCoJIGVK1f67u86p9raWlu6dKl/raRz5FwQQAABBBBAAAEEEEAAAQQQQGBsAQKgYxuRAwEEykxAEx5t2bLF17qmpsYHP+vr68vsLKguAggggAACCCCAAAIIIIAAAggUQoAAaCEUKQMBBEpGYNOmTbZhw4aoPhrzs7m5OXrPAgIIIIAAAggggAACCCCAAAIIVJcAAdDqut6cLQIVLdDb22urV6+OzrGtrc1mzZoVvWcBAQQQQAABBBBAAAEEEEAAAQSqT4AAaPVdc84YgYoU2Llzp61YsSI6t5kzZ9r8+fOj9ywggAACCCCAAAIIIIAAAggggEB1ChAArc7rzlkjUFECw8PDfsZ3vSqpy/uSJUsq6hw5GQQQQAABBBBAAAEEEEAAAQQQyE+AAGh+buyFAAIlIpBIJHzwc2BgwNdIkx11dnaaJj8iIYAAAggggAACCCCAAAIIIIAAAgRAuQcQQKCsBTTmZ19fnz+H2tpaH/ysq6sr63Oi8ggggAACCCCAAAIIIIAAAgggUDgBAqCFs6QkBBAossDatWutp6cnOmpHR4c1NjZG71lAAAEEEEAAAQQQQAABBBBAAAEECIByDyCAQFkKbN682datWxfVfdGiRdbS0hK9ZwEBBBBAAAEEEEAAAQQQQAABBBCQAAFQ7gMEECg7AXV5X7VqVVRvzfY+Z86c6D0LCCCAAAIIIIAAAggggAACCCCAQBAgABokeEUAgbIQ0GRHXV1dpsmPlFpbW62tra0s6k4lEUAAAQQQQAABBBBAAAEEEECg+AIEQItvzhERQCBPgeHhYR/8HBoa8iU0NTXZkiVL8iyN3RBAAAEEEEAAAQQQQAABBBBAoBoECIBWw1XmHBGoEIEVK1bYjh07/NlMnTrVz/g+ZQofYxVyeTkNBBBAAAEEEEAAAQQQQAABBCZEgMjBhLBSKAIIFFpg9erV1tvb64tV0LOzs9MUBCUhgAACCCCAAAIIIIAAAggggAACowkQAB1Nh20IIFASAprtfdOmTVFd2tvbTd3fSQgggAACCCCAAAIIIIAAAggggMBYAgRAxxJiOwIITKrAli1bbO3atVEdFi5caDNmzIjes4AAAggggAACCCCAAAIIIIAAAgiMJlA32ka2IYAAApMp0NfXZytXroyqMHfuXNO/Qqbtgyts29BTVmO1Nn3qHtZct6iQxVMWAggggAACCCCAAAIIIIAAAghMsgAB0Em+ABweAQTSCwwODpomPUokEj7D9OnTTa0/C5XW7/itPbL587Z54K9JRc5ueKHtP/Nsm9XwvKT1vEEAAQQQQAABBBBAAAEEEEAAgfIUoAt8eV43ao1ARQvs2rXLurq6TEFQpcbGRuvo6CjYOXf1ft9+s+5dI4KfOsCmnQ/avc++xbr7bi/Y8SgIAQQQQAABBBBAAAEEEEAAAQQmT4AA6OTZc2QEEMggoG7v/f39fmtdXZ2f8V0zvxci9ex8yB7adLYr6h8tS9OVmbAh+8OGU613cHm6zaxDAAEEEEAAAQQQQAABBBBAAIEyEihMRKGMTpiqIoBAaQusWbPGtm7d6itZU1Pjg5/19fUFq/Tftlzmyto1Znm7bKc9vuWKMfORAQEEEEAAAQQQQAABBBBAAAEESluAMUD/eX1+85vf2O9//3t7/PHHTUGXZcuW2dvf/nZrb29PewV37txp119/vT344IPW09Nje+65px144IH2qle9ymprayd1n7QHZyUCZSCwYcMG07+Q9Pw1NzeHt+N+Hdq13dbv+E3W5TzTf4cfg1SfCSQEEEAAAQQQQAABBBBAAAEEEChPgaoPgGqMwSuuuMJuvPFGfwVbW1ttx44d9sgjj9htt91mZ599tr3iFa9IurqbN2+2D3/4w7Zq1Sq/fvbs2fazn/3M/7vvvvvs3HPPtdQWa8XaJ6mivEGgjAS2bdtmav0Z0oIFC0zPYyFT3/Aa1/F9OOsihxLbbWBXjzXUzs56HzIigAACCCCAAAIIIIAAAggggEBpCVR9F/irr77aBz/nzZtnV155pd18883285//3E444QQbHh62iy++2J599tmkq3b++ef74Ochhxxit9xyi9100032gx/8wHbffXe799577atf/WpSfr0p1j4jDswKBMpAQF86aMb3kPSlgp7JQqfamsaci8xnn5wPwg4IIIAAAggggAACCCCAAAIIIDBhAlUdAN2+fbsPfmpylc9+9rP2vOc9z7SsLuzHH3+879auwMw999wTXYBHH33U7r//fmtqarILLrggaqG2aNEiu/TSS/2+t99+u6k1W0jF2iccj1cEyklgaGjIz/iumd+Vpk2bZnqeJiI11y60qVNmZl30tLpOq5tSuC74WR+YjAgggAACCCCAAAIIIIAAAgggUDCBqg6A/uQnPzEFQd/ylrfYAQccMAL1tNNOs9NPP9323XffaNsvf/lLv3zkkUdaY2NyazK1Wjv44INtYGDAFAQNqVj7hOPxikC5CCQSCVu+fLl/ZlTnhoYGP+nRRI25WVNTa+3T3pQ1T8e0t2adl4wIIIAAAggggAACCCCAAAIIIFCaAlUdANUERkqHH3542quz33772Rve8IakAKjGBlVS9/d0SQFQpT//+c/R5mLtEx2QBQTKREDBz76+Pl9btbzu7OzMOIlYoU5prxkfs6basVuYzpi6t+0+/f2FOizlIIAAAggggAACCCCAAAIIIIDAJAlU9SRIYbbpPfbYw48/qFabDz/8sGlipL322sve9ra3jZgFvru721+qmTPTd6MN68MEScpcrH3S3UOarT50LU7drq7HJAQmS0DPRU9Pjz+8Wnwq+KkWoBOd6mtn2mHz/8t+t/4D1ju0PO3hWqfua4fO+5bVTklu5Z02MysRQAABBBBAAAEEEEAAAQQQQKCkBao6ALpu3To/5qdaoZ111ll+3M6pU6f6AOjjjz9ud9xxh1//8pe/PLqI6jKvFAKd0YZ/LsyYMcMvhXx6E5Ynep9/ViHp5a1vfas99thjSevCm5NOOslOPfXU8LbqXltaWkz/SMUX2Lhxo61du9YfeNasWbZ06VLTEBLFSwts6eI/2aPrvmVPbrzONvf/3Wpqptispufac+a+3faed7xNqamOj8fW1tZoLOPi+XOkVIG2trbUVbwvosCcOXOKeDQOlU5AY7AvWLAg3SbWFUlg/vz5RToSh8kkoL9DeA4y6RRnfTn7Z2r0Uhw5joIAAgiUvkB1/IWf5jqo263+qdutxvpUd/dTTjnFOjo6TMGZb37zm3bbbbfZRRdd5LfttttuviWlJkVSmj59eppSLQqoqeWlkn4QFWOftJVhJQIlKNDb25s04/vChQuLHPz8B0qda915QNtH/b8SZKJKCCCAAAIIIIAAAggggAACCCBQIIGqDYCqm7vS8PCwn3H6kksuMX3rqjR37lz793//d1MLUY0T+r3vfc8++clP+taimv29v7/fQoDT7xD7L6yvr6/3a9WioRj7xKqQtLj77rv7eiet/OcbnWdwSLe9ktfV1dX54DTflBb3Kuv5UItkTX6kZ0OtPqv5Piyu/sij6TNPn4E8ByNtirFGX8DpOVCq1s/iYjiPdQw9BxoSRp9LpOIL6OexhkGRP0PzFN9fR5S/rgOfQ5Pjr6OGv0F4DibvGlTCc6D7J/wNOnmSHBkBBBAoXYGqDYCq26d+QGjGdk10FH7xiF+qN73pTT4A+ve//z1arWCNxvfctm1btC6+ENZPmzYtWl2sfaIDxhYuvfTS2LvkRdU1jIOavKXy36mblwLZ4XpV/hlP/hkq0Pbkk0/6Lw809ICeC437qXuQP3on5/qom5da5IaJqCanFtV7VHW7Dn+oqOcBAbji3wsKQuvnwZYtW/zvA8WvAUeUv66D7v9q/Z1ksu8CfQ7p80jjcutnNan4AqHbtX4f4jkovr+OqAYrGq6s3P3DvTQ5ihwVAQQQKG2Bqp4FXgEYJXXBTZcWLfrHTNHPPPNMtDnskylwtnXrVp9X4xqGVKx9wvF4RaDUBPSHbVdXV9RyWpMdqXWyvm0nIYAAAggggAACCCCAAAIIIIAAAhMpUNUB0DDYuwIz6dLmzZv96mXLlkWbwz5PP/10tC6+ENbvs88+0epi7RMdkAUESkxg9erV0WRg6vKr4Ke625EQQAABBBBAAAEEEEAAAQQQQACBiRao6gBomN39gQceSOv8pz/9ya/ff//9o+1hnzvvvDNaFxY0jt5dd93l3x544IFhtRVrn+iALCBQQgLPPvus71YXqqRu742NjeEtrwgggAACCCCAAAIIIIAAAggggMCEClR1APQ1r3mNH/PoD3/4g11zzTVJ0E899ZT94Ac/8ONSHXbYYdG2Qw891I9b+MQTT9jtt98erdfCtdde62eQ10zyhxxySLStWPtEB2QBgRIRUCtqBUBD0rASGv+ThAACCCCAAAIIIIAAAggggAACCBRLoPazLhXrYKV2HA26r/E/f/3rX5tagSoQun79elPrzssvv9yPV3jmmWdaPACqMQs1puc999xj9957rx/XUN17Ffy86aab/GRK559/vrW1tUWnW6x9ogNmuaAJoPSvGpMmqdJA89V6/sW45ppYJz68xLx58/xkIzq2WoCGiceUj1nIi3FFRh5j+vTp/nOOmX9H2hRjTXNzs/+STcfSZFSk4gtoSA79PNCkeEz+Unx/HVH+ug4aK3r79u2TU4kqP6p+H9bnkfyZjG1ybgb9PFbS70NMTDg510C/l+r303L/eRzupclR5KgIIIBAaQvUuF90EqVdxYmvnWamvuiii0yzvQeOPfbYw88Of+yxx6atgLrHf/7zn7e1a9dG29W199RTT7WDDjooWhdfKNY+8WOOtqyJnMr9h/xo5zfaNo3LOlGzwG/u+5P19P3OBod7rL52rs2edpjNaNp3tOpU3DYFlvVchdndZ8yY4VtOhxPVLJuabVNJXzqEfGE7r8UR0Eyhmv2aP7aK4516lPgs8PpZEn7+pObj/cQJhFngN27cyBdiE8c8asn6eazroMBPvMfAqDuxsaACYRb4devW8UVAQWWzLyzM3K0vJMt9FvLsz7q0coZZ4OOT35ZWDbOrTbiXsstNLgQQQKC6BAiAxq63ggCaxEjddOOzuMeyjFjUH02rVq3yLdvU6lOtGMZKxdpnrHoQAO03GRQqbd/5lD2y5hO2pf+hEUXOnvYS23fhJdY4deGIbZW2Qn/EKvi5Y8cOf2r6hVKTHsWfDQKgpXHVCYBO7nUgADq5/jo6AdDJvwYEQCf/GhAAnfxrEIJWBEAn71oQAJ08e46MAAIIFEuAaZhj0ur+s99++8XWjL2oP2D1L5dUrH1yqRN5xyfQu/MJe2D5m21oV/qA6qbt99nvnz7WDl56ozXVLx7fwUp8b3V7D8FPdSdSy+h48LPEq0/1EEAAAQQQQAABBBBAAAEEEECgwgTGbq5YYSfM6SBQaIFEYpf9efVHMwY/w/EGhjfYX9ecHt5W5KvGww3DKijoqeBnGOuzIk+Yk0IAAQQQQAABBBBAAAEEEEAAgZIXIABa8peICpa6wPre/7XtO/+eVTU3991vm/v+mFXecsuksTw3bdoUVbu9vT0a5zNayQICCCCAAAIIIIAAAggggAACCCBQZAECoEUG53CVJ7Cp99c5ndTG7ffmlL8cMm/dutXig8ZrHF1NfERCAAEEEEAAAQQQQAABBBBAAAEEJluAAOhkXwGOX/YCO4fW53QOAznmz6nwScjc399vK1eujI48e/bsnMfFjXZmAQEEEEAAAQQQQAABBBBAAAEEECiwAAHQAoNSXPUJTK1tzemk66bklj+nwoucWbOVatIjzfyu1NLSYosXV/YkT0Um5nAIIIAAAggggAACCCCAAAIIIDBOAQKg4wRkdwRmNr8oJ4RZ0w7JKX+pZlbQU8FPBUGVGhsb/aRHpVpf6oUAAggggAACCCCAAAIIIIAAAtUpQAC0Oq87Z11Agd1mvMbq6+ZnVWJz/TKbM+3wrPKWeiZ1e1f3d6W6ujof/NTM7yQEEEAAAQQQQAABBBBAAAEEEECglASIVpTS1aAuZSlQO6XR9lv4JVf30R+nmpp622/Rl62mprYszzNe6TVr1pgmPlKqqanxwc/6+vp4FpYRQAABBBBAAAEEEEAAAQQQQACBkhAYPWJTElWkEgiUvsCclpfa89uvtvraOWkr21i3wF7Y8T/W2nRg2u3ltHLjxo22YcOGqMpLliyx5ubm6D0LCCCAAAIIIIAAAggggAACCCCAQCkJ1JVSZagLAuUsMLflSDtsz3ts7ZabrWf7721wuMd1jZ9rs6e9xHab8a9WO6WhnE/P1723t9e6u7uj81iwYIHNnDkzes8CAggggAACCCCAAAIIIIAAAgggUGoCBEBL7YpQn7IWqJsyzRbPeof/V9YnkqbyO3bs8JMehU2zZs2yefPmhbe8IoAAAggggAACCCCAAAIIIIAAAiUpQBf4krwsVAqB0hIYGhrywU/N/K40bZoL9C5eXFqVpDYIIIAAAggggAACCCCAAAIIIIBAGgECoGlQWIUAAv8nkEgkfPBzYGDAr2xoaPCTHmnyIxICCCCAAAIIIIAAAggggAACCCBQ6gIEQEv9ClE/BCZZYNWqVdbX1+drUVtb64OfeiUhgAACCCCAAAIIIIAAAggggAAC5SBAALQcrhJ1RGCSBNauXWubN2+Ojt7Z2WlqAUpCAAEEEEAAAQQQQAABBBBAAAEEykWAAGi5XCnqiUCRBXp6emzdunXRUTXmp8b+JCGAAAIIIIAAAggggAACCCCAAALlJEAAtJyuFnVFoEgC27dvt9WrV0dHmz9/vs2ePTt6zwICCCCAAAIIIIAAAggggAACCCBQLgIEQMvlSlFPBIoksHPnTj/pkSY/UmptbbW2trYiHZ3DIIAAAggggAACCCCAAAIIIIAAAoUVIABaWE9KQ6CsBYaHh33wU69KTU1N1t7eXtbnROURQAABBBBAAAEEEEAAAQQQQKC6BQiAVvf15+wRiATU4rOrq8vUAlSpvr7eli5dajU1NVEeFhBAAAEEEEAAAQQQQAABBBBAAIFyEyAAWm5XjPoiMEEC3d3dprE/laZMmWKa8b2urm6CjkaxCCCAAAIIIIAAAggggAACCCCAQHEECIAWx5mjIFDSAprtfdOmTVEdOzo6rLGxMXrPAgIIIIAAAggggAACCCCAAAIIIFCuAgRAy/XKUW8ECiSwZcsWW7t2bVTaokWLbPr06dF7FhBAAAEEEEAAAQQQQAABBBBAAIFyFiAAWs5Xj7ojME6Bvr4+W7lyZVTK3Llzbc6cOdF7FhBAAAEEEEAAAQQQQAABBBBAAIFyFyAAWu5XkPojkKfAwMCAn/RIkx8pzZgxwxYuXJhnaeyGAAIIIIAAAggggAACCCCAAAIIlKYAAdDSvC7UCoEJFdi1a5cPfg4NDfnjNDU1WXt7+4Qek8IRQAABBBBAAAEEEEAAAQQQQACByRAgADoZ6hwTgUkWWLFihe3YscPXYurUqX7Gd838TkIAAQQQQAABBBBAAAEEEEAAAQQqTYCIR6VdUc4HgTEEuru7bdu2bT5XTU2NacZ3BUGAKBBqAABAAElEQVRJCCCAAAIIIIAAAggggAACCCCAQCUKEACtxKvKOSGQQWDDhg22cePGaKu6vTc3N0fvWUAAAQQQQAABBBBAAAEEEEAAAQQqTYAAaKVdUc4HgQwCW7dutTVr1kRbNeFRa2tr9J4FBBBAAAEEEEAAAQQQQAABBBBAoBIFCIBW4lXlnBBIEejv77eVK1dGa2fPnm1z586N3rOAAAIIIIAAAggggAACCCCAAAIIVKoAAdBKvbKcFwL/FBgcHPQzvmvmd6WWlhZbvHjxP7fyggACCCCAAAIIIIAAAggggAACCFS2AAHQyr6+nF2VCyjo2dXVZQqCKjU2NvpJj6qchdNHAAEEEEAAAQQQQAABBBBAAIEqEiAAWkUXm1OtPoFVq1aZur8r1dXVWWdnp9XW1lYfBGeMAAIIIIAAAggggAACCCCAAAJVK0AAtGovPSde6QKa8GjLli3+NGtqanzws76+vtJPm/NDAAEEEEAAAQQQQAABBBBAAAEEkgQIgCZx8AaByhDYuHGjbdiwITqZJUuWWHNzc/SeBQQQQAABBBBAAAEEEEAAAQQQQKBaBAiAVsuV5jyrRqC3t9e6u7uj821ra7OZM2dG71lAAAEEEEAAAQQQQAABBBBAAAEEqkmgrppOlnMtD4GBwfW2acsvbcfASptS02Atzc+1mdMPsylTGsrjBCaxljt27LAVK1ZENZg1a5bNnz8/es8CAggggAACCCCAAAIIIIAAAgggUG0CBECr7YqX8PkmEkPWteZL1r3u26bleKqf2mZ7LDnP5sx8ZXw1yzGBoSHn52Z8Hx4e9mvV5X3x4sWxHCwigAACCCCAAAIIIIAAAggggAAC1SdAF/jqu+YlecaJxC579KkTbfWz/zki+KkKDwyutUefPtHWbvhRSdZ/siuVSCR88HNgYMBXRZMddboZ3zX5EQkBBBBAAAEEEEAAAQQQQAABBBCoZgECoNV89Uvo3NXqc9PWu8as0ZOrPm39O7rGzFdtGVatWmV9fX3+tGtra23p0qVWV0cD72q7DzhfBBBAAAEEEEAAAQQQQAABBBAYKUAAdKQJa4oskEgMu5afV2V1VHWNX73um1nlrZZMa9eutc2bN0en29HRYQ0NjJcagbCAAAIIIIAAAggggAACCCCAAAJVLUAAtKovf2mc/Pb+v9ng0KasK7N566+yzlvpGXt6emzdunXRaWrMz5aWlug9CwgggAACCCCAAAIIIIAAAggggEC1CxAArfY7oATOf+fgsznVItf8ORVeRpnV5X316tVRjTXb++zZs6P3LCCAAAIIIIAAAggggAACCCCAAAIImBEA5S6YdIG62tac6pBr/pwKL5PMmuxo+fLlbsKohK9xa2urtbW1lUntqSYCCCCAAAIIIIAAAggggAACCCBQPAECoMWz5kgZBFqa97MpNY0Zto5c3dryopErq2jN8PCwD37qVampqcna29urSIBTRQABBBBAAAEEEEAAAQQQQAABBLIXIACavRU5J0igdkqjtc19e9alL5x/fNZ5Ky2jWnyuWLHCdu7c6U9t6tSpfsb3mpqaSjtVzgcBBBBAAAEEEEAAAQQQQAABBBAoiAAB0IIwUsh4BToWnmpNDcvGLGbhvPdZa8vBY+ar1Azd3d3W29vrT2/KlCnW2dlpdXV1lXq6nBcCCCCAAAIIIIAAAggggAACCCAwbgECoOMmpIBCCNTVzrADnvMDF9w8JENxtbak7SO2bPFnMmyv/NWa7X3Tpk3RiXZ0dPju79EKFhBAAAEEEEAAAQQQQAABBBBAAAEERgjQdGwECSsmS6B+6jwfBO3Zeo9t2HyH7di50qZMabCWpn1t/uw3WFPj0smq2qQfd8uWLbZ27dqoHosWLbLp06dH71lAAAEEEEAAAQQQQAABBBBAAAEEEEgvQAA0vQtrJ1Fg1owjTf9I/xDo6+uzlStXRhxz5861OXPmRO9ZQAABBBBAAAEEEEAAAQQQQAABBBDILEAX+Mw2bEFg0gUGBwetq6vLNPmRklp9Lly4cNLrRQUQQAABBBBAAAEEEEAAAQQQQACBchEgAFouV4p6Vp3Arl27fPBzaGjIn3tTU5Np3E8SAggggAACCCCAAAIIIIAAAggggED2AgRAs7ciJwJFFVixYoX19/f7Y2qmd834rpnfSQgggAACCCCAAAIIIIAAAggggAAC2QsQTcneipwIFE2gu7vbtm3b5o9XU1Pjg59Tp04t2vE5EAIIIIAAAggggAACCCCAAAIIIFApAgRAK+VKch4VI7Bx40bTv5Da29utubk5vOUVAQQQQAABBBBAAAEEEEAAAQQQQCAHAQKgOWCRFYGJFlCrT7X+DGnBggXW2toa3vKKAAIIIIAAAggggAACCCCAAAIIIJCjAAHQHMHIjsBECWi8T437GdLs2bNt3rx54S2vCCCAAAIIIIAAAggggAACCCCAAAJ5CBAAzQONXRAotIBmeu/q6jLN/K7U0tJiixYtKvRhKA8BBBBAAAEEEEAAAQQQQAABBBCoOgECoFV3yTnhUhNIJBK2fPlyGxwc9FVraGiwjo4O0+RHJAQQQAABBBBAAAEEEEAAAQQQQACB8QkQAB2fH3sjMG6BlStXmrq/K9XW1voZ3/VKQgABBBBAAAEEEEAAAQQQQAABBBAYvwAB0PEbUgICeQs888wztmXLFr+/Wnx2dnaaWoCSEEAAAQQQQAABBBBAAAEEEEAAAQQKI0AAtDCOlIJAzgKbNm2y9evXR/stXrzYpk2bFr1nAQEEEEAAAQQQQAABBBBAAAEEEEBg/AIEQMdvSAkI5CzQ29trq1evjvbbbbfdbNasWdF7FhBAAAEEEEAAAQQQQAABBBBAAAEECiNAALQwjpSCQNYCO3futBUrVkT5Z86caQqAkhBAAAEEEEAAAQQQQAABBBBAAAEECi9AALTwppSIQEaB4eFh6+rqMr0qNTc325IlSzLmZwMCCCCAAAIIIIAAAggggAACCCCAwPgECICOz4+9EchaIJFI+OCnWoAq1dfX+0mPNPkRCQEEEEAAAQQQQAABBBBAAAEEEEBgYgQIgE6MK6UiMEJAY35u377dr58yZYoPftbV1Y3IxwoEEEAAAQQQQAABBBBAAAEEEEAAgcIJEAAtnCUlIZBR4Nlnn7Wenp5oe2dnpzU2NkbvWUAAAQQQQAABBBBAAAEEEEAAAQQQmBgBAqAT40qpCEQCmzdvNgVAQ1q0aJG1tLSEt7wigAACCCCAAAIIIIAAAggggAACCEygAAHQCcSlaAT6+vps1apVEcS8efNszpw50XsWEEAAAQQQQAABBBBAAAEEEEAAAQQmVoAA6MT6UnoVCwwMDPhJjzT5kdKMGTNswYIFVSzCqSOAAAIIIIAAAggggAACCCCAAALFFyAAWnxzjlgFAsPDwz74OTQ05M+2qanJ2tvbq+DMOUUEEEAAAQQQQAABBBBAAAEEEECgtAQIgJbW9aA2FSKwYsUK27Fjhz+bqVOn+hnfNfM7CQEEEEAAAQQQQAABBBBAAAEEEECguAJEZIrrzdGqQGD16tXW29vrz1RBT834riAoCQEEEEAAAQQQQAABBBBAAAEEEECg+AIEQItvzhErWGD9+vW2adOm6AzV7V3d30kIIIAAAggggAACCCCAAAIIIIAAApMjQAB0ctw5agUKbN261Z555pnozBYuXOgnPopWsIAAAggggAACCCCAAAIIIIAAAgggUHQBAqBFJ+eAlSjQ19dnK1eujE5tzpw5Nnfu3Og9CwgggAACCCCAAAIIIIAAAggggAACkyNAAHRy3DlqBQkMDg6aJj3atWuXP6vp06fbokWLKugMORUEEEAAAQQQQAABBBBAAAEEEECgfAUIgJbvtaPmJSCgoGdXV5cpCKrU2NhoHR0dJVAzqoAAAggggAACCCCAAAIIIIAAAgggIAECoNwHCIxDQN3e+/v7fQl1dXV+xnfN/E5CAAEEEEAAAQQQQAABBBBAAAEEECgNASI1pXEdqEUZCqxZs8Y08ZFSTU2ND37W19eX4ZlQZQQQQAABBBBAAAEEEEAAAQQQQKByBQiAVu615cwmUGDjxo22YcOG6AhLliyx5ubm6D0LCCCAAAIIIIAAAggggAACCCCAAAKlIVBXGtWgFgiUj8C2bdusu7s7qnBbW5vNnDkzep/NwuCuXvt733dt1c7bbdvwCjcWRZ3NqtvHOpvebEsb3+RalPLdRDaO5EEAAQQQQAABBBBAAAEEEEAAAQTGEiAAOpYQ2xGICezYscPP+B5WzZ492+bPnx/eZvXaM/iI3bP5A9a/a21S/mcHf2v691T/D+yImd+whimzk7bzBgEEEEAAAQQQQAABBBBAAAEEEEAgdwGameVuxh5VKjA0NORnfNfM70rTpk2zRYsW5aTRN/yM3d3znhHBz3ghGwYftHs3n2C7EkPx1SwjgAACCCCAAAIIIIAAAggggAACCOQhQAA0DzR2qT6BRCLhg58DAwP+5BsaGvykR5r8KJf0cO8XbWdi05i7bBj8oz3d/6Mx85EBAQQQQAABBBBAAAEEEEAAAQQQQGB0AQKgo/uwFQEvsGrVKuvr6/PLtbW1Pvip11zS4K7ttnLHLVnv8vSO67LOS0YEEEAAAQQQQAABBBBAAAEEEEAAgfQCBEDTu7AWgUhg7dq1tnnzZv9eLT47OztNLUBzTVuHn7RdNpj1bj2Df806LxkRQAABBBBAAAEEEEAAAQQQQAABBNILEABN78JaBLzApk2bbN26dZHG4sWL/dif0YocFoYTO3PIbS5YOuTGAR3OaR8yI4AAAggggAACCCCAAAIIIIAAAggkCxAATfbgHQKRwPbt2627uzt6r9neZ82aFb3PdaGltj2nXaZNWWRTanLrZp/TAciMAAIIIIAAAggggAACCCCAAAIIVIEAAdAquMicYu4CO3fu9JMeafIjpZkzZ1pbW1vuBcX2aK5ts9l1B8TWjL64uPGY0TOwFQEEEEAAAQQQQAABBBBAAAEEEEBgTAECoGMSkaHaBIaHh33wU69Kzc3NtmTJkoIwHNByRlblTK2Zbvs0n5hVXjIhgAACCCCAAAIIIIAAAggggAACCGQWIACa2YYtVSigFp9dXV2mFqBK9fX1ftIjTX5UiLSg4aV2YMunRi2q1prs8NarrKl2/qj52IgAAggggAACCCCAAAIIIIAAAgggMLYAAdCxjchRRQKrV682jf2pNGXKFB/8rKurK6jAPtM+aEfOvNpaa58zotwF9UfaMXNutraGw0ZsYwUCCCCAAAIIIIAAAggggAACCCCAQO4ChY3s5H589kCgZAQ023tPT09Un46ODmtsbIzeF3JhYcPLTP+2Dj1tvcNdNsXqrbXuObT6LCQyZSGAAAIIIIAAAggggAACCCCAAAJOgAAotwECTmDz5s22du3ayGLRokU2ffr06P1ELcyoW2b6R0IAAQQQQAABBBBAAAEEEEAAAQQQmBgBusBPjCullpFAX1+frVq1Kqrx3Llzbc6cOdF7FhBAAAEEEEAAAQQQQAABBBBAAAEEyleAAGj5XjtqXgCBgYEBP+mRJj9SmjFjhi1cuLAAJVMEAggggAACCCCAAAIIIIAAAggggEApCBAALYWrQB0mRWDXrl0++Dk0NOSP39TUZO3t7ZNSFw6KAAIIIIAAAggggAACCCCAAAIIIDAxAgRAJ8aVUstAYPny5bZjxw5f06lTp/oZ3zXzOwkBBBBAAAEEEEAAAQQQQAABBBBAoHIEiPZUzrXkTHIQWLlypW3dutXvoaBnZ2enKQhKQgABBBBAAAEEEEAAAQQQQAABBBCoLAFmga+s65nT2dTU1FhLS0tO+1RC5vXr19vGjRutrq7OmpubbenSpdba2loJp1Y25yD7kHQNNBwBaXIEGhoajJbPk2NfW1sbHXjatGnRMgvFE9DPQSUNgVJfX1+8A3OkSCBcg2r9nSSCmMSF8FmkzyF+Hk/ihXCH1s/javzdfHLV/3H08LtpOfuHOQ1KwZM6IIAAAqUoUOM+KP8x+0sp1o46TaiAZj9vbGyc0GOUWuFbtmyxp556KqrW4sWLbf78+dF7FoojoD90wx+9/LFVHPN0R9EfWvinkynOOp6D4jiPdRSeg7GEJnZ7eA706yi/kk6s9Wil8xyMpjPx2+SvxHMw8dajHaHcnwPdP+ELjdHOk20IIIBAtQr8XzOsahWo4vMeHh62Z599tmoE+vv7ffBTAZ9Zs2bZ9OnT/S+a1WRQKhd75syZvsWV6qPWuGEiqlKpX7XUY8GCBbZt2zbTlyGk4gvMmTMnanW4bt06gj/FvwT+D0V9CdbT02MDAwOTUAMOKX/9wa4/3Pl5PDn3g1o/6/Now4YNpt8NScUX0M9jJf0+pOtAKr6AegLo99Ny/xwK91LxBTkiAgggUPoCjAFa+teIGhZAYHBw0M/4Hlq7zZgxw5YsWVKAkikCAQQQQAABBBBAAAEEEEAAAQQQQKCUBQiAlvLVoW4FEVDQs6uryxQEVVK3/2XLlhWkbApBAAEEEEAAAQQQQAABBBBAAAEEEChtAQKgpX19qF0BBDTju7q/K2mA80434zvj4xQAliIQQAABBBBAAAEEEEAAAQQQQACBMhAgAFoGF4kq5i+wZs0a27p1qy9AEy0o+MlMv/l7sicCCCCAAAIIIIAAAggggAACCCBQbgIEQMvtilHfrAU0uU58IHmN+dnc3Jz1/mREAAEEEEAAAQQQQAABBBBAAAEEECh/AQKg5X8NOYM0Ar29vdbd3R1taWtr8zM7RitYQAABBBBAAAEEEEAAAQQQQAABBBCoCgECoFVxmavrJHfs2OEnPQpnPWvWLJs/f354yysCCCCAAAIIIIAAAggggAACCCCAQBUJEACtootdDac6NDTkg5+a+V1p2rRptnjx4mo4dc4RAQQQQAABBBBAAAEEEEAAAQQQQCCNAAHQNCisKk+BRCLhg58DAwP+BBoaGvykR5r8iIQAAggggAACCCCAAAIIIIAAAgggUJ0CBECr87pX5FmvWrXK+vr6/LnV1tb64KdeSQgggAACCCCAAAIIIIAAAggggAAC1StAALR6r31FnfnatWtt8+bN0Tl1dnaaWoCSEEAAAQQQQAABBBBAAAEEEEAAAQSqW4AAaHVf/4o4+56eHlu3bl10LhrzU2N/khBAAAEEEEAAAQQQQAABBBBAAAEEECAAyj1Q1gLbt2+31atXR+eg2d5nz54dvWcBAQQQQAABBBBAAAEEEEAAAQQQQKC6BQiAVvf1L+uz37lzp5/0SJMfKbW2tlpbW1tZnxOVRwABBBBAAAEEEEAAAQQQQAABBBAorAAB0MJ6UlqRBIaHh33wU69KTU1N1t7eXqSjcxgEEEAAAQQQQAABBBBAAAEEEEAAgXIRIABaLleKekYCavHZ1dVlagGqNHXqVFu6dKnV1NREeVhAAAEEEEAAAQQQQAABBBBAAAEEEEBAAgRAuQ/KTqC7u9s09qfSlClTTDO+19XVld15UGEEEEAAAQQQQAABBBBAAAEEEEAAgYkXIAA68cYcoYAC69evt02bNkUldnR0+O7v0QoWEEAAAQQQQAABBBBAAAEEEEAAAQQQiAkQAI1hsFjaAlu2bLFnnnkmquSiRYts+vTp0XsWEEAAAQQQQAABBBBAAAEEEEAAAQQQSBUgAJoqwvuSFOjr67OVK1dGdZszZ47pHwkBBBBAAAEEEEAAAQQQQAABBBBAAIHRBAiAjqbDtpIQGBgY8JMeafIjJbX6VOtPEgIIIIAAAggggAACCCCAAAIIIIAAAmMJ1Lig0j+iSmPlZHvFCfT399uOHTtK+rx0e65Zs8YGBwd9PTXj+8KFC8c943t9fb3t2rXLhoaGSvr8K7Vyjz32mG3YsMGf3kEHHWTNzc2VeqolfV4NDQ3+GRgeHi7pelZq5R5++GHbtm2bP71DDz2Uydwm4ULX1NSYfh7oZ4x+JpCKL3D//febvujUz/dDDjmk+BXgiH5CSfnrOvBnQfFvCH323Hffff7ALS0tduCBBxa/Ehwxeg527txZ1hqzZs0q6/pTeQQQQGAiBQiATqQuZSOAQFqBj33sY3bHHXf4bbfccovtueeeafOxEoFKFnjzm99sf/3rX/0p/uEPfzD94UtCoNoEFPzv6emxGTNm2AMPPFBtp8/5ImAKuB1wwAFeYu+997abbroJFQQQQAABBBCYAAG6wE8AKkUigAACCCCAAAIIIIAAAggggAACCCCAQGkIEAAtjetALRBAAAEEEEAAAQQQQAABBBBAAAEEEEBgAgQIgE4AKkUigAACCCCAAAIIIIAAAggggAACCCCAQGkIEAAtjetALRBAAAEEEEAAAQQQQAABBBBAAAEEEEBgAgQIgE4AKkUigAACCCCAAAIIIIAAAggggAACCCCAQGkI1JVGNagFAghUk0Btba3pn1JNTU01nTrnikAkwHMQUbBQxQJ1dXX+50H4mVDFFJx6lQro96Bw/+t5ICGAAAIIIIDAxAjUJFyamKIpFQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQmFwBusBPrj9HRwABBBBAAAEEEEAAAQQQQAABBBBAAIEJFCAAOoG4FI0AAggggAACCCCAAAIIIIAAAggggAACkytAAHRy/Tk6AggggAACCCCAAAIIIIAAAggggAACCEygAAHQCcSlaAQQQAABBBBAAAEEEEAAAQQQQAABBBCYXAECoJPrz9ERQAABBBBAAAEEEEAAAQQQQAABBBBAYAIF6iawbIpGAIEKEOjp6bGbb77ZHn/8cevu7ra2tjY79NBD7XWve53V1aX/CHnsscfsuuuusxUrVti0adNs//33t5e97GW2bNmyjCLF2idjBdiAwCgCDz74oP3sZz+zrq4uq62ttc7OTnvDG95g++yzT8a9inVP53OcjJVmAwIxgVtvvdWuueYa++xnP1sS9/rOnTvt+uuvNz2P+tm055572oEHHmivetWr/HMZq3q0mM8+0c4sIOAEsn0O7r77bvvVr35lq1evtl27dll7e7u9+MUvtqOPPjqjYz6f38XaJ2Ol2YAAAggggECZCtQkXCrTulNtBBCYYIFHHnnEPvOZz9j69eutpqbG5syZYxs2bPBHVeDniiuusIaGhqRa6I/Tr3zlK35dS0uLDQwM+H9NTU120UUX2UEHHZSUX2+Ktc+IA7MCgSwELr/8crvhhht8Tt3v+rGp+1rPxAc+8AE7/vjjR5RSrHs6n+OMqCwrEEgj8Je//MVOPvlkGxoa8p/1CjSmS/ncg/nss3nzZvvwhz9sq1at8tWYPXu2bdq0yS8fccQRdu6551p9fX1SFfPZJ6kA3lS9QDbPgYLsZ5xxhv3pT3/yXjNmzPCvW7du9a96dr74xS+afg+Kp3yeg2LtE68nywgggAACCFSMgAKgJAQQQCBVYMuWLQnXaiFx+OGHJ1ygM+H+0PRZXAu4xLve9S6//rLLLkva7c9//nPipS99acK19kzcc889CdcCIuECRYkf/ehHPv9RRx2VeOaZZyZln6SD8gaBLAXuuusuf+/qnr7pppsSvb29CfdHbeKHP/yhv9f1fDzwwANJpfEcJHHwpgwF/vjHPyZcK39/7+sed4GdtGdRrHtdBz/ttNN8fU4//fSEC2z6+riWdgn3BYRff8kll4yoYz77jCiEFVUrkO1z8OUvf9nfg+9+97sTrnVm5PW3v/0t8Y53vMNvu/jii6P1WijWs5PPcZIqyhsEEEAAAQQqSIAxQCsmlM2JIFBYAbV46+/vt0MOOcQ+8pGP2KxZs/wBOjo67KSTTvLLd9xxhw0PD0cH/t73vudbx7k/AkwtctRCburUqXbcccfZW97yFhscHLSf/OQnUX4tFGufpIPyBoEsBX7xi1/4nK94xSvs9a9/vR/SYfr06fbWt77VDwWhjeoaH0/FuqfzOU68niwjkCrQ19dnX/rSl3zLT3UxnzJl9F8T87kH89nn0Ucftfvvv9+3oLvgggustbXVV33RokV26aWX+u7vt99+u23bti06pXz2iXZmoaoFcnkOlFfDBOlZ+dznPmd77bVXZLf33nvbhRde6N/fcsstprwh5fMcFGufUEdeEUAAAQQQqDSB0X+zrbSz5XwQQCArgR07dvhu6QpefvrTn/aBzPiOL3nJS+zjH/+4/yNZQU0l/WKvP1CVjjnmGP8a/y+s0x8B6lKpVKx94vVgGYFcBFyLZZ/94IMPHrGba+3s12ls3JCKdU/nc5xQR14RyCRwwgknmGvpbM3NzXbOOefY0qVLM2Ut6uf3L3/5S1+PI4880hobG5PqpK7wej41LIWCoCHls0/Yl9fqFsjlOVAXeX0RvGTJkrTPi56hefPm+S+Hn376aQ+bz+d3sfap7ivP2SOAAAIIVLoAAdBKv8KcHwJ5CDzxxBOmsav23XffqOVnvBi1dFCLTk08Ef4YdV29/C/4+iNg4cKF8ex+WS0h1HLOda23lStX+nXF2mdEZViBQJYCYdzDEEyJ7/brX//avz3ggAOi1cW6p/M5TlRJFhDIIKAxM/Vl1Xe/+91RJ27R7vncg/nso2NpPGol9UhIl8IXFK67b7Q5n32inVmoaoFcngPde2oB6oZgSGumL3z1e4/SzJkz/Ws+z0Gx9vEV5D8EEEAAAQQqVIAAaIVeWE4LgfEIhImO9thjDx/U1Ayo5513nrmxP+3MM8+0H//4x36G0/gxQiu48At+fFtYDtvCJBbF2iccn1cEchV45Stf6bvdambfa6+91k8CpknBNDP2b3/7W99SLj7Db7Hu6XyOk+u5k7/6BL7zne/Y2WefbQsWLBjz5PO5B/PZRxUZa7/Uny357jPmSZOhKgRyeQ401I+GCMr0zGioILVO1rANGrJBaaz7WXlS7+li7aNjkxBAAAEEEKhUgbpKPTHOCwEE8hdYt26d33natGl2/vnnm8ZB1C/5avmp1pv33XefqUWcZnVXV0ml7du3+9fwS7t/k/JfmBk15A2vE71PSjV4i0DWAvvss49vDacZpq+66ir7xje+4fd1E3yZWjXri4F4i+di3dP5HCfrkyZj1QrstttuWZ97PvdgPvuoQmPtl/qzJd99sj55Mla0QC7PwWgQa9assa9//es+ywc/+MFoOKGx7mftkHpPF2uf0c6HbQgggAACCJS7AC1Ay/0KUn8EJkBALdyUrrvuOlM33zPOOMNP9KJAqJvJ1ObMmWNuVuAoGKS8Gp9KSd3cM6WWlha/SWOMKhVrH38w/kMgT4GHHnooarHT1tZmc+fO9SVpfNAnn3wyqdRi3dP5HCeporxBYJwC+dyD+eyjLxvCz4xMP1/Cz5adO3f6s8pnn3FysDsCSQIbN2600047zdSdXt3kNYleSPk8B8XaJ9SRVwQQQAABBCpRgABoJV5VzgmBcQrEJzbSL/D6xV0tPTUpkiZA0kynSuoK/+yzz/pltRZVUlevTCn8cdrQ0OCzFGufTPVhPQJjCXzqU5+yL3zhC36Ci+9///v2wx/+0G644QZTF0l9EaBJwi677LKomGLd0/kcJ6okCwgUQCCfezCffdTzoKmpydc4/AxJrX5YX19f7zfls09qmbxHIF8B9ZT50Ic+5L84e+5znxv9zhTKy+c5KNY+oY68IoAAAgggUIkCBEAr8apyTgiMU0AzliqptY0mOkpNmvQljA8aWsCFVnGaPClT2rZtm98UfpEv1j6Z6sN6BEYTUCtnjf2p+/XCCy+0xYsXR9l1/2sICE0Cpi8CeA4iGhaqRKCYn9/hWOFnSCpxWB9+tmh7Pvuklst7BHIV0ERcJ510kqmHwAtf+EK79NJL/c+QeDnh3uT3pbgKywgggAACCEy8AAHQiTfmCAiUnUAIgGYa1F8nFAbzX7t2rT+/8At9+EM03UmHX/Y1YYBSsfZJVxfWITCWgGbdVXr+858f3avxffR8hBngH374Yb+pWPd0PseJ151lBMYrkM89mM8+qudY+6X+bMl3n/GasH91C9x11112yimnmH4POuaYY/zM8PGgfNAZ635WvtR7ulj7hDryigACCCCAQCUKEACtxKvKOSEwToH58+f7EjRb+/DwcNrSNK6V0rJly/xrfJ/Qhd5v+Od/W7ZssU2bNvmJlPbcc8+i7hOvB8sIZCswNDTks2roh0wpTFQRhn7gOcgkxfpKEyjWvS63cKynn346LWNYr0nLQspnn7AvrwjkKvDTn/7UNFmefv95//vfb2effbbV1aWfazbcm/odi9+XcpUmPwIIIIAAAvkLEADN3449EahYgf3228//wdnf32+PPPLIiPNU6wZ1+a2trbXwB6dmwtas2L29vfb73/9+xD533323D6YqT5g5vlj7jKgMKxDIQiAE6tWlUZOqpCate+yxx/xqdYlXKtY9nc9xfAX5D4ECCeRzD+azj6r78pe/3Nf6zjvvHFF7PYdqead04IEHRtvz2SfamQUEchD43e9+51t71tTU2FlnnWX/9m//Nure+TwHxdpn1IqzEQEEEEAAgTIXIABa5heQ6iMwEQJq8fbOd77TF33eeeeZZjMNSS1Cr7zyStu+fbsdcsghfgzEsO0d73iHX9QEMfGu8OvWrTNNIKN03HHH+dfwX7H2CcfjFYFsBZ73vOfZbrvt5u//Sy65xBKJRNKuV199ta1evdoHPffff/9oW7Hu6XyOE1WSBQQKIJDPPZjPPoceeqh1dnbaE088YbfffntSza+99lr/jHZ0dPifSWFjPvuEfXlFIFsBTcClifD08+GEE06w1772tVntms9zUKx9sjoBMiGAAAIIIFCGAjXuB3byX3RleBJUGQEECi+gX+o/8YlP2EMPPWQzZ860ww47zDTm4X333WePPvqo7b777j4Q2tLSEh1cwVHNfKqxE9Va4aijjjJ1I1arHQVRVcbnP/953w0+7FSsfcLxeEUgFwFNhHTqqaf61stq5fmiF73IB/0ffPBB+8tf/uK7OH7lK1+JxgJV2cW6p/M5Ti7nTl4E3ve+99lTTz1lV1xxRVLryiCTzz2Yzz463r333mvnnHOOf770s0UttPUM/va3vzV9aXf55ZcnPYf57hPOjVcEgsBoz4EC8FdddZXPql4xo6ULLrjADj/8cJ8ln+egWPuMdg5sQwABBBBAoJwFCICW89Wj7ghMsIB+2f72t79tN954o+/arsNpZviDDjrID/QfBuWPVyO0hrjjjjuisa30R8Eb3/hGO/HEE5NajIb9irVPOB6vCOQisHz5cj+Tr74MiCc9B6effrq1t7fHV/vlYt3T+RxnRGVZgUAGgdECP2GXfO7BfPbR8fSFhL5EC5PvaZ1ahupLCj2P6VI++6Qrh3XVKzDac/DJT37SB+Gz0bnwwgvtiCOOiLLm8xwUa5+okiwggAACCCBQQQIEQCvoYnIqCEyUgBqKd3d3+27vanUzZcrYo2eo5adaDmnfJUuWWLqZUFPrW6x9Uo/LewSyEejr67OVK1eaxnlT0LOpqWnM3Yp1T+dznDErTwYEchDI5x7MZx9VST0KNIGMJpNpa2vL6mdSPvvkcPpkRSBvgXyeg2Ltk/dJsSMCCCCAAAIlKEAAtAQvClVCAAEEEEAAAQQQQAABBBBAAAEEEEAAgcIIjN2MqzDHoRQEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKDoAgRAi07OARFAAAEEEEAAAQQQQAABBBBAAAEEEECgWAIEQIslzXEQQAABBBBAAAEEEEAAAQQQQAABBBBAoOgCBECLTs4BEUAAAQQQQAABBBBAAAEEEEAAAQQQQKBYAgRAiyXNcRBAAAEEEEAAAQQQQAABBBBAAAEEEECg6AIEQItOzgERQAABBBBAAAEEEEAAAQQQQAABBBBAoFgCBECLJc1xEEAAAQQQQAABBBBAAAEEEEAAAQQQQKDoAgRAi07OARFAAAEEEEAAAQQQQAABBBBAAAEEEECgWAIEQIslzXEQQAABBBBAAAEEEEAAAQQQQAABBBBAoOgCdUU/IgdEAAEEEChJgZ6eHuvq6rKVK1fatGnTbPfdd7f29narra2dkPr29fVZU1OT1dTU5FX+0NCQJRIJmzp1al77a6fx1qG/v9+fQ94VYEcEEMhKQM/7qlWrbMWKFabPKn027bHHHtba2prV/qNleuaZZ+zhhx+2wcFB6+zs9P+mT58+2i6jbtu1a5ft3Lkzr8+GRx991P70pz/ZnnvuaQcffPCox2EjAggggAACCCCAQPYCtADN3oqcCCCAQFYCf/nLX3xQT4G9fP6lHuQVr3jFqOXU1dVZc3OzLVq0yI4++mj73ve+Z9u3b08tJu37HTt22DXXXGNHHHGEzZ492w466CB7wxve4MtZtmyZD4R++MMf9oGHtAXksFIBjK9//et2+OGH22677ebLVpDhBS94gX384x+3jRs3jlna1q1b7dOf/rQ95znP8cEFBT/+5V/+xT71qU+ZghhjpULU4Ze//KXpmsyZM8e7y+k973mPXXfddWMdftzbda3CPaUgyWSkT3ziE1EdBgYGJqMKeR+zEH69vb325z//Oe86ZLPjfffdl022nPO8//3v99cul+DeTTfdFF3vcO/l+nr99dfnXNewwyOPPGKnnHKK/8zQs3bUUUfZm970JnvhC19oM2fOtP33399+9KMfmYKOuaQbbrjBf87Nnz/fFi5caK9+9avt9a9/vR1wwAG+3Ne97nX285//3H/Jkk25f//73+3d7363Pfe5z/WfC/oSqaOjw4455hj76U9/mk0RPs/555/vy/njH/+Y9T5kRAABBBBAAAEEEMhCwLWeISGAAAIIFFDABUcS7uM373+pVXn5y1+ec1kuwJG4++67U4tKev+3v/0tse+++2ZVdn19feKqq65K2j+XNy44kNhnn31GPZYLKCZcUCJjsU8++WSira0tYxkuOJJ46qmnMu5fiDqcccYZGY+va/7Zz3424/ELscEFt6PjuwBJIYrMuYzTTjstqoNr5Zbz/pO5w3j9fvjDHybcFw2JL3zhCxNyGmvXrk24IFqisbFxQsp/3/ve56+dC85lXf5PfvKT6Hrn+7nmvhzI+ngh4/DwcOK8885LTJkyJavjuy9SEhs2bAi7Z3zdvHlzwn1hkVWZOl99/rovZzKWpw3nnntuwn0RNWqZLqCa2LZt26jl6Jz1OajjPv3006PmZSMCCCCAAAIIIIBAbgJ0gXe/ZZIQQACBiRJ40Yte5FtUFqp894e2uWBkUnFq+aSWeOvWrTO1anJBAHN/aNtb3vIW+/3vf++7sift4N7ceeed9sY3vtHUmk3JBULNBbbs+c9/vu/+qfVq0fSNb3zDt2xU+R/60Id8q021csolad+3ve1t5gKufrfjjz/ePvCBD/gunmq1qdZRLqDkW4CqJaXqstdeeyUdQi0/X/WqV5kLEJlavLrAiKmFlguO2G233Waf+cxnzAUMfOvSBx54wLeGjRdQiDqo9eoll1ziiz3kkEP8MZ/3vOfZQw89ZF/+8pdNLUNdANS3RFP9KjVpyAEXoKvU08t4Xs8++6y/jzNmKMAG3T///d//bQ0NDQUorTBFuC8u7MILL0xbmJ41FyD12/R5olaZ6dJ+++2XbnXGdS4QaMcee6zdeuutPo88XPDW3vrWt5pagc6aNct3hb/33nvti1/8om+h/oc//MG3trzrrrtsxowZacvWs6pWnupKr6RW3CeffLJvha5nWfe2Pkf0mfSf//mftmnTJvvf//1ff14/+9nPfMvz1ILV8js872qFLyt9PqgFqHoDaNv999/vy1RL929/+9upRUTvH3zwQf85qBbuS5cujdazgAACCCCAAAIIIFAAgdzipeRGAAEEEBhLIN4C9IMf/OBY2cfcHm8B6rq2j5rfBRQTr3zlK6OWSK997WtH5HeB0oTrgh7lcQGEhAuijsgXVtx4440JNw6oz69WTo8//njYlNWrWsu5H1f+n46VLt1zzz1RSy/XpX1ElngZP/7xj0ds/8UvfpFwQRJ/jH//938fsT2+fz51cAHhhBsiwJf/4he/OKH38eSGEki85jWv8dvdcAQJFziJby7Y8nhbMBasImVa0Hj81Doz3Me6nyYinXTSSf4YupcnIuXTAnS0enzzm9+MTFxgb7SsOW1zQcOoXPdlSMKN+5lxfzeOb8INqxHlf+9735s2rxv+IuG+4InyuWBqwgW10+bVyi1btiRc9/Uov/Z1X6Qk5XdjACfcMBw+j1oGp3vu1aoz/pnsvihJKiP+Jpy3C8rGV7OMAAIIIIAAAgggUAABxgAtQBCZIhBAAIFSEXBdxO1//ud/fMtI1ek3v/nNiDHs1JJTrdmU1FrJdev2Y/z5FWn+05igF1xwgd+iMTQvu+yyNLkyr7r99tv9Rk2qpFam6ZLGIFWLVSWNf6jJSEKKH9MFg33L1bAtvGpMTrUqVfrWt77lJyAJ2/Q63jpcffXVvjWYylKLM7Xuiie1UFNrWbXO1cRK3/3ud+ObWUYAgSwF1EpT42AqLVmyxNyXI37Co0y7ayK1m2++2fTZp/T9738/auEZ30ctOsO4ue9617vMDWdgGv8zU1Ir0ltuucW3PFce7Rs+B8M+v/3tb80FSv1bfZaqZWpqUiv1yy+/PFqtluKZklqZKmncUBICCCCAAAIIIIBAYQXoAl9YT0pDAAEEJl1A3ToPPfRQH0h0493ZY489ZurGqtTd3W2uRadf1mzHCn5mkz72sY/5wJ9mX1YwUZMnZdMNWvnUDV9JMxqPNqO8JmDSZCbqrq46a3ITJc3OrO79SiFI6t+k/HfcccfZ1772NVu/fr25VqL2jne8w+coRB3uuOMOX5aCLJrEKV1S91fXOtQHbNx4qXbqqaemy5bVut/97nem7rAazkCTRB122GF+kqqsdnaZ3Bek9sQTT3g7TSKjSV4OPPBAb6qAUbqkoHMIEIWJXBSMVpfiBQsW+IlndG+p+3CYcEpDPGhCHM3MHYLq6kqsgHCmpMmu3FitfrOGOkidxTufuqcea7x+qeWpq3d8kq7Vq1f7bs3Kp+uTel+rC7e6ZGtGb3Wp1ozlmlxH93Q6/zVr1pjKDPe5DNRtWkn3nPZPTXqW9Zzon4aG0POsmcN17ebOnZuavWze69nRlx5K55xzjp/8aKzKK/CozyhNkKYhQdQtX+9D0nN09tln+7ctLS3+syxsG+1Vw20ocCpTTSynL3/OOuus6BoqOBuSnv1Mae+99/b7uBajGSfQ0merrrmeHdcK3hel+073guqsOoyWNGSJPu/1uax7LTWN97lS3XUM3W+uF4A/ju63cM8p0Juasv1MSd2P9wgggAACCCCAwIQIuF+ISAgggAACBRSYzC7w4TQ0kYr7oeH/uWBQWJ340pe+FK2/6KKLovXZLLjWpAn3x282WZPyuPE7/X7Lly9PWp/6xgUsorqpm35IV155ZbRetpmSusK6YJzPq7Liabx1cAElX66bfTpe7IhlFxyJ6jrWxCkjdnYr5OuC11EZ4RpqIhgXfElk04XbBT4TbgzCEWWoLNfiLeHGN0x36ISGTwjH07V++9vfHr3Xetciznf9TzcJkhu3MsrrWiCnLT+sdC2QfV5NrJU6aU2+dQ9lF8IvlBV/HW2CG02qE09uzMiEG/My8gimetV95IL88ex+2bUsTJtf+7gZ0JPyqzt4fFiMePla1gRK6qLvgk9J++lNqXeB16RaYagJTeSW7hxGnNQ/V7gAYsJ9UZF2oiHXAjPydS01MxWRcX24Z+Ubn9BJ3epdIDrhApcJdXXPlHSfh+v0kY98JG023RfK41qzR9tdy3i/TsNqjDaBkpz0bGt/17o12j8sjPe50gR4LggbnUM4l/Cqzxs33mk4XPSa7WdKtAMLCCCAAAIIIIDABAqM/LrW/TZDQgABBBAobwG1mlRS6zxNKhSSJgwKKV0robAt3etLXvKSEZMTpcuXus4FMvx+aqGWKanVp7qbKinfvHnzoqyaSCSk0SYGUcs6N7apzxomXAr7jacOal2nFmRKmoBltBQ/x9Q6jLaftrngrm/pqdaLSmodqa66anGqyVnUovTiiy/22zL9p5avaumpVre69mp1+/73v980RIC69KqFoSaPOvPMMzMV4de7sR3tBz/4QVIetUJN7fofMrjAcNSSU5P4ZEq6zup6rKR6qEVpSOOteyH8Ql1SX9XKUy1bQ1JrX034o3/x1p9qgaxhGv7617/69ZpUTBN76Rrq/tR9pIl8dE3iSS1sVVa473XtQvnqBh6SG+vWNKGQJuZRi7uXvvSl5sa89PeJWuMqqcWzGwfXNGFauSXdt5p4SEmt1tUCM9s0c+ZMO/roo31rydR91GIxJF2fXJOGAQlJ92lIuvZqXS37dC0gQ77Q6l7vw3UK28Jr6P6uyd5CCveJhtWIlxG2h1ftG1oPa7KoeBrPc+X+/jA3trG5sWn9hHk6Vz3rJ5xwgl8fWhrruqkFrFqxZkq5fqZkKof1CCCAAAIIIIBA3gITGFylaAQQQKAqBeItQF3ww0+0ock2svmXrsVTvLXXWJMgCfyaa66JWuqoJVo8udmFo21dXV3xTZO6rImJ3A8y/y91EiNNVqJtaoE4VnLBP5/XBXfHyjpie6Y6uG7MUd0uvfTSEfvFV7iut1FeF3iIbxp1WZNQhVabam2oVq/xpDrsscceUdny+OMf/xjP4idgcQFFn8cFzRKpk62oFZoLEEVl/PrXv07aP95aS+W7oFzCzXyfcN3iE2pBp5aNSulagGr9iSee6MtW/eMteLUtJE2oFa6zC3iH1eOueyH8ospkWBhrEiTXPTihlno6v46OjkS85bWK1PPmAtLR+buxKkccaaxJkFzwzO+v65yuNbRa7uo5UR1ct/BE6udFqbcAVevhcH+oroVKL3vZy6JyM92box1LrS9DvXQNckmaTMkNY+D3d0HahO6jdEmTKOkY8ZaUOm5oeamJlDKl8Bmp5z7eElWTMo3nM+HWW2+NzlstV1MngVL9wj2lun/+859PqmK2nylJO/EGAQQQQAABBBCYIAGNLURCAAEEECigQDwAGv5ozvbVtaQZUZN4AFR/TKvbZfyfa/GVUPdyzaSuP0bj3XV//vOfJ5XnWvD5P2j1OtrM70k7TfAbN6ZowrVw9PVyrb4Smlk5nlyLKL9NM9ePlTRDu6zdhEtjZU3aPlodFMgK108BwdGSvEPe//qv/xota9K2O++8M9rPtfRM2hbeuFZsCXWFD+WnBkA/+tGP+m3Ko0BYuqQAu2bVVhluzNWkYElqsCL13gnlZQqAxp2uuOKKkD3pVUMI6NgKruoeDmm8dS+EX6hLptexAqCuhbQ/N9cqMKGAdbqkgJHu42CgoRniabQAqBuP1e+nfd24lPHdkpb1BYLy6J+C1/EUglV6/guRCj0LfHyIDtfauRBV9GUsXrzYeyiYmG8KwW0FKrNN6tIf//zWEBbpUviZoXqmpnDNdF/pGU1NGoJBwx7oen/qU59K2jze5yrMXq96xZ/X+EF6e3ujnznHHntsfFPSsBqqX6bPlKSdeIMAAggggAACCEyQAF3g3W9kJAQQQKBcBDRhjLqFxv9p0gt1DT/yyCP97OPuD1V/OpoExP0BG52aJmbRRB5K6mqrbraTnTSLsiY2coE53837O9/5zojJlVzQyFdT5zlWCpPvaMKObNNYdQjHV3lj1SEcX3lzqYMmzFHSdT399NP9cup/rvWuaaKndEnXVl1MlV796lebhitIl1T+ySef7De5AKrvqp0un7rfx++ddHlS17kWrNFELem6wat7bBjmwI1RG3UdL0Tdx+uXei65vtfkM5owSknnFiYdSy1Hk9looh4lF8zyXdlT82R6r+vvAr1+Up4wwVe6vLp2IbngVFgsi1c5hhSGswjv833Vc6gJppRcy9x8izF1sVcKw2GMVZA+h3UvaLgCpde//vV+uIJ0+7nAoF+d7pkL3eD1nGiG+9SkieM07IHS8ccfH20uxHPlxon2E9NdffXV0fMaHeCfCxoWwwVI/bvR7rd8PlNSj8V7BBBAAAEEEEBgPALZD640nqOwLwIIIFClAprN17XgyfrsxxpjMpuCNAbkV77yFXMTaCRl13h1boIRP8aeZvLWH81jBfSSCijwGzcZj7mJdkzj2ykwpzEnFURLTW6yHL9KQdKxUsiTbqbtdPtmU4dwfO0fyk9XVur2bOug/cKYrQrQaHzJTEljeYYxNON5Vq5caa61mV+lsSpHG4tPgbSQNFN8urFgNbNzPknBmjPOOMOPQfrkk0+a67YfFaN6awxQpRDU0XIh6j5eP9VjPCk+3quu0WhJ41SGFB+bMqzL9KrxUjV+pf6lJgW7XBd7UzA/HiQLX4ak5i/V924in6hqmnG8EEnPrz77ZORa3OZVpJ57N4SJ31fXYaykQKDGenUty31WfRa77v0Zd0s3/mfIrH1di3Z76qmnTF8saCzgeHJDnvi3+tIj/mwX4rnSGLb6ly653gh+3GI31Ia5Cd98ltHut3w/U9Idm3UIIIAAAggggEA+AgRA81FjHwQQQCBLAf1BGm+Vk+VuGbOdf/75Fg/IKaMmyNFEKQqedaZMIJRakBuLzgdAFQxwM2b7CXNS8xTjvetKbmqhqnooCKugTXyikXgd1GpOKbRyim9LXQ55NOHPWCnbOoTjq7xQfqay49uzqUMoJwTwQkuqsD71NT4hTnxbPFjkxuEz/csmKQCaLsUDl+m2Z1qnCX80AY8CIddee23SRDxuSAC/m4Lc8RaShaj7eP0ynU+26+MBUD2DoyVtV+tr17PHcgmAxsu8++67TYGnRx55xHRsBZtDcDmer9yW9fkUks6tEEnBT00ypVag+qcvXFx39pyKVnBZn1VKYz2jmjTtta99ramFtZIC4m5s4IwTiKlV/q9+9SsfpM0UPNeXaJ/5zGd8mbre4fl5+umnzY3l64+jPPFUiOcqlKcAp1qaakI6XRfdtyEgHPKM9ZrvZ8pY5bIdAQQQQAABBBDIVoAAaLZS5EMAAQRKQMCNv5jzH+/xau+9997mxif0q/Sq1qLZpu7ublMX1ec+97l5d59X0Oess84yN+GQP6xaU918880Zu2wrk1qtKqnFkYIQCmhkSqElkoYKyJRyrUM4vsoLM1RnKjscX9tHq0Pq/mrdpRQ/VmoevY8HiOLbQxff+LpsltUSOF0Kszun2zbaOnVb1qzRuqbxAKjOL3QRj7f+VFmFqPt4/UY7p2y2rVmzJsoWZnKPVqQsKOCv1sEKxMXvl5Rsad+6sSJNgS43tueI7eqKrNaCuu/Umrockz6fQgqfU+F9Nq9qAbvvvvta6pcPan2o+0zPvoL+aiWdS1KAOSQNN5Ipqc66/1esWOGzvPe977Vvfetb/kuqTPsomK3gtWZRdxNXpc2mL9HOPfdcc+M2+1agF154oc8XvlTQ/aQWp/FUiOdK5blxRX2PAt2vqUmuCvaqdWuYhT41T3if72dK2J9XBBBAAAEEEEBgvAKMATpeQfZHAAEEykjgX//1X6Pa5trC6pJLLjE3q7wpyHXbbbdF5WS7oC7aGrswBD/VrVNBsUzjVYZyQ1BEwc94oClsD68KDihIq5SptVE+dWhvb/cBK5WrbqWjpfj2THVIt3/oVjva+Wm/TAGzeKs0dYlVV99s/rlZ7dNVZ1zrQoBTgSY3qZcvK4wJqkCNhj2Ip0LUfbx+8frksxwfWzLcg5nK0fAEIZiUS1BIrRDdhGBR8POwww6zc845x66//npTaz9dbz2XylOuaf/994/G6VRQO96ieqxzWr9+vQ8A60uEVAONMxxSPp9dasEZkpvIKywmvapFrq5JCH6effbZ5iY9GjX4qQLC+J+pO+l/gQAAJHdJREFUdY4XrpbfYeiDeFf68Fyp9XzqFy6FeK7UmvsLX/iCv1/lqmf7P/7jP3yLVX0ZpvvusssuG9eXcvHzZBkBBBBAAAEEEJhIAVqATqQuZSOAAAIlJqAAqJsl3Lck0piMalWU2qU+XZUVfAytyhRoOfjgg9Nly7hOLZwUOAjBBwU9b7rpJssmAKSgSEhq+ZapG/hf//rXaIzOdGOJ5lsHealV2YMPPhgFn0J9Ul9DyzyN4znaWJ6p++mcFDgLwZPU7eF9pu3x8fXUPXX69Olhl6K/qkWYxnJUi7DrrrvOj+sagjZvfOMbRwRqClH38fqNFyl+DgpUjpbi23OZ6EeBJk2cpPTlL3/Z1Bo8XYq3Ug7dttPlK9V1mizoiiuu8J9RakX8gQ98IKuq6vMsjEGp5zWe1Dry4x//uN+u4SHUonLhwoXxLBmX1e3729/+tt+ulqWqX2rSREf6bFXAVkOSaEKybIc+CeN/HnPMManFJr1X8PEXv/iF6f7RpF/63A4tU1O7v2vH+D2Zz2eCvmy5+OKLfR3U5V7HzvSZFu65crzfkpB5gwACCCCAAAIVLUAL0Iq+vJwcAgggkCyg7rnhD3O1sPrSl76UnCHDO40/F8Z8e/Ob35xV4DJe1AknnBAFPxVAUMAgm+CnytBEUmFCoRBAjZcdluPbDj/88LA6eh1PHdStVUljTWZqpanZptUKTOmlL32pf832v9D6S+MHhjH90u0bWoulbtO4kmFCq1tvvdUHj1LzhPcKSqoL8LHHHjvqsUL+XF8VANLs10o33nijnygljEcYWofGyyxE3cfrF69PpmWN2xmSulLHk8b6DdvjkxDF84TlEAzWe93b8RTKSC1fecK9pdaup5xySny3pOXf/e530fsQEIxWlMHCySefHH0p8+lPf3rMYSd0ShrKQeMjh3TiiSeGRf+qzxqVq6QJijSRUDpjnyH2nwJ6sg6BvY9+9KPRcxayKUCqzzQFPzUMgZ6/8Bkb8mR61Wewgpi6pi960YsyZfPr9eVBmIleLVL1BZKSgpLpxg4d73N17733RkbyzBT81Jik+lJMqRzvN19x/kMAAQQQQACB6hBwvwCSEEAAAQQKKODG6VN0xP/74Ac/OO6SXdfHqDw3Yca4y3OBzITrLunLdAGXhOviOGqZV111VXR8F4hMPPTQQ6PmT914xx13RPsfeeSRCTejcmqWMd+7btO+DBfkS7hx9kbkd0HJhGtN5/O4YMCI7eOtg44pK11X19pqRPla4bojR+fpgphp82Ra6VpoJRoaGvz+MnIBlxFZXfA14VqjRsdwk6wk5TnzzDOjbVdeeWXStvBm27ZtCTekgM8nS9dtOGxKuNaF0f4XXHBBtD51wbU8jPK5IQVSN/v3LigU5Xnd617nl91QAmnPSzuMt+6F8Et7IrGVbgza6JxOP/302JZ/LLrgbrTdteobsV0rXOu9hJ4h3Ufuy4gRz4ILzEVl6FrFU7huruVfQvd7uuTGhIzuUx3jpz/9aVI23bta7wJ1SevzfeNaOkb1da0k8y1mxH5unOCoXNf6MLF8+fIRecIKWRx00EFR/ne+851hU9KrG3Yg4QLVUT4XNPf3fFKm2Bs3wVDCjcsZ5dcxXCvyWI5Ewg27kXDd3n0ePZuZrnvSTrE3ek51Pd72trfF1mZePOmkk3x+NxRJwgVM/bKsMqXxPFeuxb8vX/VzE9alPYSeiRe+8IVRvhe84AVJ+bL9TEnaiTcIIIAAAggggMAECdAF3v1mR0IAAQQmSkBdorOdkTvUwQXA/Fhy4X2hX9U9WV06NR6nC0b6Wbs1w69aNx166KF+lmO1ctQYoRojMkxeo67gar2WywQiGnPzIx/5SHQK2jeMARqtTLPgghimFkwhqXWXWhOqlZV8fvzjH1to5al6agw8tVBVHTUuYjwVog7qAqrWi1dffbV997vfNRes9OehLrFq+anxUT/3uc/5w6o1lsYCzCWpBaHKfte73mX33HOP7077ne98x4+36n7+25133um3aZzTTEljDmpMQHWlV3dfXUNNYKJWaTK46667/Hh+jz32mC/iwx/+cNatcDMdM9N6jRWrFm0PPPCAuSCcz6YJYXR90qXx1r0QfunqFV8nR7Vu1TOj++9fXOtNrdO1Vnfkiy66yK/XZF26Hy+//HJT12TdK7puLgjv3+t+UXLBL6urS/41LD4JznnnnedbFqp1oCYe07AOunYaykHXVWMzhkmxNmzY4IcbcIGqqNWejqHxRssx6X74zW9+48eaVAtD3U/vec97/GeWunbLTd261S1bwwFoJnUlDa0Ruqunnrdakd9www1+0h6N1auu5wcccID/fHKBO3v+85/vr60+szXcha5PaNmocYD12afrH0/6LFA9lfQZoa7p+jda0nANOhel0KI7tGAebT9t02eQ+0LKNNxHSLrHMqXxPFd6ftUiWZ8/+mxSy3995moSOt3P7osw36pWViGV6/0W6s8rAggggAACCFS4wAQFVikWAQQQqFqBeAtQ9yMkah2T7bILpCXZFboFaCjcBQ8SbqzIrOqnfG4247Br1q8uaJBV+ak2qltqckHaRHNzc1SeC/4k3OQz0XuV8dWvfjV1t0Sh6uD+uE8cffTR0fFcECbhxhqMWm7q+Gph5oJRI+qQ7Yp4K1KV54I9CTf5iD+mCzwkXDfe6PipLUB1jF/96lcJF2CJ8qhV2l577ZVoaWmJ1qlcNx5rwnVXTapWtq21smkBqoK/9rWvRcdU61nX1TfpeKlvxlP3UNZ4/UI5mV7jz6Ic9S9+HW655ZaE624dnbdaa+oeifvrmrgvRdIewgW/k1pwqnzXvdrndd28o3tB62WqVoAqP7ROVitoPae6N5Xnk5/8ZNJxXLDMry/1FqCqtAsUJ1wgObLU+Yz2zw07kdWzpxbwodXmaOWFbWopmumZjrcoDfnHetWxldR6WtdB+TO16PUZU/5zwfDIwX1hlbJ15NvxPFdnnHFGdCzV0wXjE0cddVTUg0Dr1Ho1tH7W/a7PyZCy/UwJ+XlFAAEEEEAAAQQmUkDf7JIQQAABBAooUC4BUJ2ym6gmoe7ObsbgpD90wx/x+gPdtSb0+fIhindlDWVm85ouAKrjy9a11IoCPqEsBSJc6660VSxkHRQ0dDMjJwUAVAcFnNw4eQk3hmfaOmS7Ul1qXUtC3z06nJte3YQtCTd2Z8K1LouuUzzwFi9f3VL/3//7fwnXOjXKG8paunRpQt2W0w1DkG2wItsAqAIh6mavYx9xxBHxKmZczrfuocBC+IWy0r3qeXEtkBMK9ARTN1FPUlYF2I477rikYL3yKvDpJrpJKMg5WnKzbPvrHcpXEDwkDS2gIR7CtvCqa63u0SH45Frq+TwadkAmIZVTADTUWZ8FCgLLL5xveFXgV58HqV39w76ZXmXixgz21yMEj0OZenUtPf2XBLfffnuSX7w8dalPV6d4OemWQwDUjYPsz8e1Qo0XO+aya20eOWh4kmxSvs+VPifcONEJN/ZodEydk8zUDV8+Sq6FerQ9/kVZtp8p2ZwDeRBAAAEEEEAAgfEK1KgA98sMCQEEEECgigX0o0BdyDWZyOrVq/1M3epWrIkv3B+7JSfjxkf0M7LrVfVctmyZ75pZrIrKSxOYqPu9ZvJ2rSwt3n15vPVQl3U37qjvzq7uv/HhAHIpW9dTddQESTJyge6M3dBzKbcYecdT90L5ZTpPdUPX9dekYpkm83JBNp9H3dZ1b6jrdi6zvrvgkbkgm79m6kYfT9qm46uLtmY8VxftUnxO43Ue77IswueTzlv3s0xdq/BxFa3u88uXL7cuN7u6C2iaa1XunzcNbzCRSV373ZcY/jzcWKNZH+qKK67wXc/VpV/DXISJkbItIJ/nSkOP6H6Tk4ZQ0T030T7Zng/5EEAAAQQQQACBbAUIgGYrRT4EEEAAAQQQQAABBCZRQOOVKnD67ne/29ykV5NYEw6NAAIIIIAAAv+/vTuBump64zi+ESVpMGfMLKuVUslQpDIkmUol8xyatcwrIpGVBgtFyTLUIiQ0sJKpJa1EJSKiTEUqUpIM579/e/33Weeee9/73nvf99737fbda73ee/c5d+99Pufc8PTsvRHYsgRS70awZV0Do0UAAQQQQAABBBBAoKgF7JRzF/zURdolD4r6Wrk4BBBAAAEEEECgvAUStx8t79ZpDwEEEEAAAQQQQAABBHIS0C73diM0tySGXR/WtWHX1DV2LdGc2uNDCCCAAAIIIIDA1irAFPit9c5z3QgggAACCCCAAAKVWqB+/fpG68j6UrduXTN37ly3Nqyv4zcCCCCAAAIIIIBA6QJMgS/diDMQQAABBBBAAAEEECi4gDZBU7E705tWrVoZu+M9wc+C3wU6RAABBBBAAIFiECADtBjuIteAAAIIIIAAAgggUJQCq1evNtWqVTM1atQoyuvjohBAAAEEEEAAgUIIEAAthDJ9IIAAAggggAACCCCAAAIIIIAAAggggECFCDAFvkLY6RQBBBBAAAEEEEAAAQQQQAABBBBAAAEECiFAALQQyvSBAAIIIIAAAggggAACCCCAAAIIIIAAAhUiQAC0QtjpFAEEEEAAAQQQQAABBBBAAAEEEEAAAQQKIUAAtBDK9IEAAggggAACCCCAAAIIIIAAAggggAACFSJAALRC2OkUAQQQQAABBBBAAAEEEEAAAQQQQAABBAohQAC0EMr0gQACCCCAAAIIIIAAAggggAACCCCAAAIVIkAAtELY6RQBBBBAAAEEEEAAAQQQQAABBBBAAAEECiFAALQQyvSBAAIIIIAAAggggAACCCCAAAIIIIAAAhUiQAC0QtjpFAEEEEAAAQQQQAABBBBAAAEEEEAAAQQKIUAAtBDK9IEAAggggAACCCCAAAIIIIAAAggggAACFSJAALRC2OkUAQQQQAABBBBAAAEEEEAAAQQQQAABBAohQAC0EMr0gQACCCCAAAIIIIAAAggggAACCCCAAAIVIkAAtELY6RQBBBBAAAEEEEAAAQQQKH6Bv//+22zevLn4L5QrRAABBBCo1AIEQCv17WFwCCCAAAIIIIAAAghULoGmTZsa/WzYsCEc2IQJE1zd3XffHdZVhhetWrVy4/rpp58KOpxURvkYQL9+/dz1vf766/loPmwzl37efvttI/9atWqZatWqmQ4dOoTtVcYXY8aMcZYPPvhg3odX0nP577//mmXLluW9fzpAAAEEtkaBKlvjRXPNCCCAAAIIIIAAAgggkJvARx995D74zz//hA38/PPPRvUNGzYM6yrDi/nz55vff/+94BmIqYzy4bF06VLnvnbt2nw0H7aZbT8//PCD6dixo/n1119NlSpVzOGHH27q168ftlcZX6xYscJZtmjRIu/DS/Vczps3z1x55ZWma9eu5tZbb837GOgAAQQQ2NoECIBubXec60UAAQQQQAABBBBAoJwFGjdubHr27GmaN29ezi2Xrblrr73WbNq0yey8885la4hPZyUwe/ZsF/zca6+9zOLFi02dOnWy+nyxn5zquXzqqafMJ5984gKgxX79XB8CCCBQEQIEQCtCnT4RQAABBBBAAAEEECgiAU3p1U9lKw888EBlG9JWMZ4ff/zRXaeeCYKfybec5zLZhBoEEEAg3wIEQPMtTPsIIIAAAggggAACW4WApiGvXLnSXethhx1mtt9++4Tr1pqZ3377ras75JBDTNWqVROO5+uN1hX84osvXPOpxqUD//33n/n888/NNttsY4488sish7JmzRqjdTYV7Np7773d532d3qteU9Hnzp1rvvvuOzdVXtPld9hhhxL7+u2338yCBQvMV199ZQ466CDTqFEjs+uuu5Z4fqoDum5df/S6yzouWWlcmuZet25d06xZM7Pnnnum6j6h7pdffjGrVq1y16DMyHiRy/r1682+++7r1s2MH9fz8+abb7pqTdPebbfd4qckvc/FMJd+fMf+GdcUeJUgCMxnn31mtt1226Qp8JpyroxHXbe+D3oeUl3T6tWrjZZY2GeffUz16tXNW2+95Z7XNm3aZPUd0n1/5513zB9//OGeB2Ur63nPtCiT+MsvvzRLliwx69atMwcffLA54ogj3DMQb0NZr5r6r+du+fLlZtasWeaEE05wz7HOjT6XstF7v4yBrlVmstCzpvratWu764/3o/f63una9thjD7P77runOoU6BBBAAAEJ2H8pURBAAAEEEEAAAQQQQKCMAjagE9gAXaD/xL7tttuSWrObwLhjrVu3DmxQLul4tKJv377B0UcfndHPpEmToh9Nem2DKIENILq+n3vuuaTjqrCb6Ljjxx13XMrj0Updn37s+o5h9bBhw1zd5ZdfHtYNHTrU1Y0ePTrQcRvoce/95+26kMHChQvD8/0Lu7ZoYDdTCmwAKeH87bbbLhgwYEBgdxX3p5b6u2bNmq4NG3gOz811XGpA98UGoxLGZTf4cfdbzr74a4wa3XXXXe5zvXv39qcl/PbPx9NPP51QbwPHQfv27QMbLA77tYG74P777w/8Z8aPH5/wmVwMc+knoVP7Zvr06eEYvYF+77jjjuGpNqAX3HDDDYHuZ/Qcvb/pppsCG2gMz9WLwYMHu/NGjRoVHHvsseFnbLAv6dyED/7/jQ1WB0cddVQgs2h/+n7pmC/p7s/YsWMD/yxF29Az3aNHj2Djxo2+Gfdb92r//fcP9N2MXqfdYMkd923pubQBz4Rx+fZvvPHGwE6Ld8dsoDWh/egbb/LGG29Eq3mNAAIIIBATIAPU/huGggACCCCAAAIIIIBAWQWUDfj444+7zV80xbVTp05Ga2Oq2OCNee2111yG1rPPPusy4tL19/XXX5uPP/443SnhMWXIpSvKcrvsssuMDR4a9d2lS5ek023QzdVdeumlScfKWvHwww+7jDb1e9JJJxlNj37mmWdcJp12Bv/mm2+MDRKF3XTu3NnYwJHLaLNBIJc5qCzQhx56yGiXeWXHvfjii+H5ub7Idly33367GT58uMv2HDJkiDn00EPNjBkzzIQJE4wN0rlsRBmXZ7H/72YuueQSM3XqVGODeOa6664zNnhmJk+ebG655ZYSMyCzNcy1n/i1aqOjESNGuCzNV1991WU9nn/++S4bUueqH30vlMWpzOBevXq5DZKUManP6XujLGEdj2dn2iC6ywZu0KCB+fPPP02TJk1KvH4/LmVct2vXzmVmaxxnnXWWy7LV8z5nzhxzxhlnuEzeVBm5vg09c3feeafLyNTancq+VTbvlClTzHvvvWf0HB1wwAGmf//+/iPut7J5r776amMD5C57WRnDGku8aH1aXftLL73kMkVtsNuccsopxgZo3TXaAKvLENXndc3RooxUXYeyY9u2bRs9xGsEEEAAgbhALCDKWwQQQAABBBBAAAEEECiDgLIg7X9zB3bKtstWtMEdlwGnDLRp06Zl1LKdKh3YqbMZ/dhAS6ltKtNM2Wp2Wn5ggzcJ5yvzTxl6ymS0U6YTjqV6o2vTTzS7MV0GqM4dM2ZMQlM2wBvYwI9rR9mnvvgMQhuQCuzUXl/tfttAb1CvXj33mUyz3aKZdr4xnwGazbgmTpzo+tW47DIHvin3W9mXamunnXYK7BRwV6f3+okapcsw1Id8Nmc0A1QZg2pH2Yp26rZr2//D7hTujul4NAM0F8Nc+vHjSPXbBjLd2Lp3755w2AaxXb2dPu4yH6MH7bT5wAby3PFx48aFh3wGqK5z5MiRYb0NgoavS3phl3Nw7dkAZsIpypC1wVp3TPdFJdX9UR/KNFXfegbiRZmsOqYM02jx2bp6Xv13KjreVM+lMknVlq43WuzO8K6+T58+0Wr3+o477nDHbDA86RgVCCCAAAKJAtvaP2QpCCCAAAIIIIAAAgggUE4CylTUmpVaJ1IZbRdddJHLWOvXr1/KDLBU3WotP2WVZfJTo0aNVE0k1NnpuMZOvTd2+rh5/vnnE44pm1IZdeecc07KtScTTs7hjSxsECfhk6rTmo8qy5YtC4/dd9997rUNRiWtq6n1P7t16+aOKxuwrCWbcdmgouvOTtE28WzBCy64wGVmKlNPa26WZ1EWpYoNdLn1L6Nt22UWzC677BKtcq9zMcyln6SOM6iwyyG4s5RVqTUro0VZjLrvKjYg635H/6EM6549e4ZVyqxMV7S2qDJLtT7rzTffnHCqMo5tMNU9l1p/tKSi9UIHDhzoMnyVQRov5557rqvy63fGjytLt1atWq66tPHGP+vf279QcS/t8hVuPVtfb/+33mVS670yvCkIIIAAAukFqqQ/zFEEEEAAAQQQQAABBBDIRkABSU01b9mypdG0aRVtlOMDU9m0VZ7nKpCiTXQ0Npu5Fjbtp7/nK4hi1/pMms6szhWUff/9983mzZvDsShgpaIAlTasiRcFwVT8pk7x49m8z2ZcCmarnHjiiUldaKr2o48+mlRfHhV2jVTXjJ6leNFzdvzxx7up2NFjuRjm0k+0z0xe26xLN4Vd55522mkpP+LrteSBNq+KLo1Q0v1K2ZCt9PdM3z2b4Zx0mqaZ6yddUdBdyw5Ei83qdZshLVq0KLTXtaUq2iSprEWbJ2kzJU131/fXG2n6vab42zVA3TICZe2HzyOAAALFLkAAtNjvMNeHAAIIIIAAAgggUHABu5mQsdN/zSOPPOL6VlZofFf4dIMaNGiQW9sv3Tn+mLLifFDE16X6rWw1ZaNpzUCtMapdrJUl9+677+Z1DUEftIyPye8Ar0w2FWVP+vVMtXZiuvL999+bv/76q9Q1INO1kem4lDWrdUdVFLQtVNG9kYkyB1Ptjq5xaMf4aMnFULuOZ9tPtM9MX+uZk6UCtwospirKAtX3REFxBfeUpetL9LWvS/fbB0DLes8UiNX6nE888YTbtV67rvuind7TlWzHXFJb+ssJZfzqLy/8d93/xUU+1u0taRzUI4AAAluyQPo/sbfkK2PsCCCAAAIIIIAAAghUkICyxLRRjS/K/nzllVf821J/f/jhh27jm1JPtCecffbZmZzmsuC6du1qHnvsMRdI0cYu2oxIAUhN049m22XUYIYn2bVHMzrTB0J1st3h3PgAaUYfzuGkTMelphUEU1EAL19FAd1o8VmL6tvuMJ9y46x4UD0Xw1z6iY4z09d+rMqW1DjjmxypHR3z2ZT+fN9+1apV/cuMfpfHPdM4tQmVNrpSUcBZU+G1IVXTpk3dhlTKwi2pZDvmktrRGLQMgv5M0bR8PbtaukLBcX2nKQgggAACpQsQAC3diDMQQAABBBBAAAEEEMhKQLtFa7dz7To9f/58ozUWtUP8Nddck1E7WjvUbnKT0bnZZJlpGrwCoAqeKAD6wgsvuD7yNf09owv4/0l16tRxmY7KAj311FNN48aNs/l43s5VIE5rsWq3ertRj9u9PN6ZpiNrZ/DmzZsnZWX6c32AuaQgqtqPFq0Dq+xFZYKuWLEiZbvKkoyWXAxz6SfaZ6avZSjLTZs2GWWdxtdSVTu6Vh/E1bjKUvzanrpnqYrGoYxKZUKffPLJqU4xL7/8sgt+KnNa3+H4EgiTJk1yn1OAOp9FmbH6TtgNw9yPniW7eZnp0qWLqV27dj67pm0EEECgaAQy++vYorlcLgQBBBBAAAEEEEAAgfwKaGqqAosK4IwdO9YFPtWjNkHS2oaZFK13qLX9MvmJbyaTrn0F6Ozu1+bTTz81M2fONFr7UXXlsVZhun4zPdagQQN3qqYcpyry1PgLPe3X7ibuhjN16tRUwzLa7KZTp07OM+UJttIHqhT8ixdl9S1fvjxe7bIMVamAdbysX7/eraEar8/FUNmMKtn0E++3tPcK2uneqWhDn1TF1x9zzDEuuzHVOZnW+Xs2e/bslJtTKWitpRa0sVVJRctDqJx55plJwU/V6y83VHzWqnuT4z98RrLPXI034zdDUlDWb1pVGf7iIj5O3iOAAAKVVYAAaGW9M4wLAQQQQAABBBBAYIsTUBDL71St9T8VBD399NONAhUKcmmqeXkES8oC4wMp119/vWum0MHEdGNXVqrK0KFDjQJU0aJsRwWRtQFSvXr1oofy/lrrL6poLVe/HqjvdOLEieaDDz5w61q2bdvWVyf9VlBbRUsh+PUp9V4BL2XypXourrjiCjfdWUsoRDd+UpakMoTXrFmjJhJKLoa59JPQaYZv/C7vgwcPdutpRj82b948d99V16tXr+ihnF43adLErZe5bt06F6COZmnqu6gp5SqyL6nUrFnTHZo1a1bS/Zk2bZoZMmSIO65s0rIWvxRBPKvXt6ulLpThqyD8lClTXCZyaZs4+c/yGwEEEEDAGAKgPAUIIIAAAggggAACCJSDgAIsF198sZuaqmxArRXoy/Dhw13AYu7cueaee+7x1RXyW2NUNp52ldYahZVpDcFWrVq5zaO0HqamJSs4de+995qOHTsaZTYq61EZq+my9vKB6je10mZByk686qqrzMCBA02jRo3cGJW9p+nU6dZ8VHBUu3kr0Kmp1Ho+FHhUMFeZhu3atUsaevv27d16qKtWrXLXrR3J7777btOiRQu387yf5h39YC6GufQT7TPT19qIS9et5QKU3axgvIK7WuNSu50rWDlixAhz4YUXZtpk2vP0vVPQUMs+6B4OGDDAZQ9r+r3W2W3ZsqXp06dPiW3o+dM91dR8PXf67mp5Cnmdd9557v7ruAKqGntZiqbiq4wbN861q7FGi/rp1q2by2aVXz7X7Y32y2sEEECgaATs3x5SEEAAAQQQQAABBBBAoIwCNlCn7cwDu2N3YANWSa3ZaavuuA0+BnZabtLxQlbYKb1uLJ07d866W12jfuxGT+Fnhw0b5upsQCuss1mcrs4GC8O66AubeeqO24BXtNq9Hj9+fGA3nHHHfX82Qy7o3bt3sHbt2qTzS6qwGXyuDZtVF55SlnHZ4FRglxxIGJedah3MmDEjbF8v/JijRqpfuXJlYDOCAxswDc/R520wLvDPj11CQacmFBv0DPy1qG0b1At0Xt++fV078oqXXAxz6Sfer97bIKEbV/fu3VMdDkaNGhXY7OjQwG54FdigbmB3Wk8632aLuvNs8DfpWCYVdi3ewAYsA7tje9ifXutZsgHtsAmbneqOqz5abLZlcOCBB4aflb+eAZsNHNjs3aBNmzbu2JNPPhl+TNej8+xyB2Fd9IW/l9Hn0u58H9jgcOA/awPC0Y+41zZLNhzH4sWLk45TgQACCCBQssA2OmT/cKYggAACCCCAAAIIIIDAViKgjEpt4DJ9+nQ3Rb+yXrameC9ZssRl8dkgVJnXhSyv69SmRMuWLXPZm9qgJtuyYcMGN5VeWX82YJ7Rxzdu3OimwSsTUOtbptpFPVVD2Rrm2k+qvkurswFhoynfDRs2NNWrVy/t9DIdV1axDRq6JQW0HIF2UM+0aJkCjVP3Xfesbt26mX406/NsINTIRX3YYGjC5xctWuSslI06Z86chGO8QQABBBBIL0AANL0PRxFAAAEEEEAAAQQQKCoBTafeb7/93C7cCuL5zVeK6iK5GASKUEDT9UeOHGnGjBnjlmEowkvkkhBAAIG8CVTJW8s0jAACCCCAAAIIIIAAApVCQOsT2qnjbp3C/v37G2WZ9ejRg+Bnpbg7DAKBkgWWLl3q1iG1yyyY0aNHu4zh8lojteReOYIAAggUnwAZoMV3T7kiBBBAAAEEEEAAAQQSBBYuXOg2VvGV2kRn5syZSVNs/XF+I4BA5RDQxlGTJ092g1G2tl536NChcgyOUSCAAAJbkAAZoFvQzWKoCCCAAAIIIIAAAgjkIqCdxps1a2bspjzGbtpiBg0aRPAzF0g+g0CBBVq3bm0WLFjg1h61G4oR/CywP90hgEDxCJABWjz3kitBAAEEEEAAAQQQQAABBBBAAAEEEEAAgZjAtrH3vEUAAQQQQAABBBBAAAEEEEAAAQQQQAABBIpGgABo0dxKLgQBBBBAAAEEEEAAAQQQQAABBBBAAAEE4gIEQOMivEcAAQQQQAABBBBAAAEEEEAAAQQQQACBohEgAFo0t5ILQQABBBBAAAEEEEAAAQQQQAABBBBAAIG4AAHQuAjvEUAAAQQQQAABBBBAAAEEEEAAAQQQQKBoBAiAFs2t5EIQQAABBBBAAAEEEEAAAQQQQAABBBBAIC5AADQuwnsEEEAAAQQQQAABBBBAAAEEEEAAAQQQKBoBAqBFcyu5EAQQQAABBBBAAAEEEEAAAQQQQAABBBCICxAAjYvwHgEEEEAAAQQQQAABBBBAAAEEEEAAAQSKRoAAaNHcSi4EAQQQQAABBBBAAAEEEEAAAQQQQAABBOICBEDjIrxHAAEEEEAAAQQQQAABBBBAAAEEEEAAgaIRIABaNLeSC0EAAQQQQAABBBBAAAEEEEAAAQQQQACBuAAB0LgI7xFAAAEEEEAAAQQQQAABBBBAAAEEEECgaAT+B/GWSWVMD5+BAAAAAElFTkSuQmCC" alt="Home energy related CO2 emissions comparison for each MSOA in Southampton" width="672" />
<p class="caption">
-Figure 2.9: Energy demand comparison
+Figure 4.1: Home energy related CO2 emissions comparison for each MSOA in Southampton
</p>
</div>
-<pre class="r"><code>#outlier <- t[sumEpcMWh > 70000]</code></pre>
-<p><a href="#fig:energyMSOAPlot">2.2</a> shows that</p>
+<pre class="r"><code>#outlier <- t[sumEpcMWh > 70000]
+
+msoaDT[, tCO2_diff_pc := 100 * ((sumBEIS_tCO2 - sumEPC_tCO2)/sumBEIS_tCO2)]
+message("Distribution of % difference from BEIS derived value")</code></pre>
+<pre><code>## Distribution of % difference from BEIS derived value</code></pre>
+<pre class="r"><code>summary(msoaDT$tCO2_diff_pc)</code></pre>
+<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
+## -33.611 5.023 18.935 15.310 27.956 36.971</code></pre>
+<p>Figure <a href="#fig:co2MSOAPlot">4.1</a> shows that the BEIS derived estimates are generally larger than the EPC derived totals (mean difference = 15.3%) and in one case 37% larger.</p>
+<p>There are a number of potential reasons for this which are discussed in <a href="epcChecks.html#fig:energyMSOAPlot">more detail elsewhere</a> but relate to:</p>
+<ul>
+<li>inclusion of all energy use in the BEIS data (not just hot water, heating and lighting)</li>
+<li>incomplete coverage of dwellings by the EPC data</li>
+<li>dwellings missing from the BEIS 2018 data which are now present in the EPC data (new builds)</li>
+</ul>
+<pre class="r"><code>t <- msoaDT[, .(sumEPC_tCO2 = sum(sumEPC_tCO2),
+ sumBEIS_tCO2 = sum(sumBEIS_tCO2),
+ nMSOAs = .N), keyby = .(LAName)]
+t[, pc_diff := 100 * ((sumBEIS_tCO2 - sumEPC_tCO2)/sumBEIS_tCO2)]
+
+kableExtra::kable(t, caption = "Total domestic energy related CO2 emissions for Southampton (tonnes)") %>%
+ kable_styling()</code></pre>
+<table class="table" style="margin-left: auto; margin-right: auto;">
+<caption>
+<span id="tab:sotonCO2">Table 4.1: </span>Total domestic energy related CO2 emissions for Southampton (tonnes)
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+LAName
+</th>
+<th style="text-align:right;">
+sumEPC_tCO2
+</th>
+<th style="text-align:right;">
+sumBEIS_tCO2
+</th>
+<th style="text-align:right;">
+nMSOAs
+</th>
+<th style="text-align:right;">
+pc_diff
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Southampton
+</td>
+<td style="text-align:right;">
+225578.2
+</td>
+<td style="text-align:right;">
+268800.5
+</td>
+<td style="text-align:right;">
+32
+</td>
+<td style="text-align:right;">
+16.0797
+</td>
+</tr>
+</tbody>
+</table>
+<p>With this in mind the total t CO2e values shown in Table <a href="#tab:sotonCO2">4.1</a> shows the BEIS figures to be around 16% higher than those estimated using the EPC data. The figure of 268,801 is very close to that calculated via the <a href="https://soton-uni.maps.arcgis.com/apps/opsdashboard/index.html#/c3041574a8794439a39045b7ee341cfa">Southampton Green City Tracker</a> for Domestic Carbon Emissions in 2018.</p>
</div>
</div>
<div id="carbon-tax-scenarios" class="section level1">
-<h1><span class="header-section-number">3</span> Carbon Tax Scenarios</h1>
-<div id="no-change-to-carbon-intensity" class="section level2">
-<h2><span class="header-section-number">3.1</span> No change to carbon intensity</h2>
+<h1><span class="header-section-number">5</span> Carbon Tax Scenarios</h1>
+<p>We now use these MSOA level estimates to calculate the tax liability of these emissions if:</p>
+<ul>
+<li>there is no change to carbon intensity - i.e. the current baseline. In this case we can use both the BEIS and EPC derived data although they will simply differ by the same % as reported above</li>
+<li>the carbon intensity of electricity falls to <a href="https://www.carbonintensity.org.uk/">100 gCO2/kWh</a> by 2030 (an <a href="https://www.nationalgrideso.com/future-energy/future-energy-scenarios/fes-2020-documents">entirely feasible level</a>) and we assume no changes to the carbon intensity of gas. In this case we can only use the BEIS data since we are unable to separate fuel source in the EPC data.</li>
+</ul>
+<p>In all cases we assume:</p>
<ul>
<li>no emissions allowances (unlike the ETS and also <a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/828824/Carbon_Emissions_Tax_-_Technical_Note__1_.pdf">current UK government proposals</a>)</li>
-<li><a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/828824/Carbon_Emissions_Tax_-_Technical_Note__1_.pdf">Carbon tax rate of £16/T</a> (currently only proposed for <a href="https://www.gov.uk/government/publications/changes-to-tax-provisions-for-carbon-emissions-tax/changes-to-tax-provisions-for-carbon-emissions-tax">businesses</a>)</li>
+<li><a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/828824/Carbon_Emissions_Tax_-_Technical_Note__1_.pdf">Carbon tax rate of £16/TCO2</a> (currently only proposed for <a href="https://www.gov.uk/government/publications/changes-to-tax-provisions-for-carbon-emissions-tax/changes-to-tax-provisions-for-carbon-emissions-tax">businesses</a>)</li>
+<li>no other behavioural or building fabric related changes (highly unlikely)</li>
</ul>
+<div id="no-change-to-carbon-intensity" class="section level2">
+<h2><span class="header-section-number">5.1</span> No change to carbon intensity</h2>
<p>Applying these rates enables us to calculate the Southampton and MSOA level Carbon Tax liability of households via the EPC and BEIS observed energy consumption methods.</p>
-<pre class="r"><code>sotonMSOA_DT[, ct_BEIS := sumBEIS_tCO2 * 16]
-sotonMSOA_DT[, ct_EPCs := sumEPC_tCO2 * 16]
+<pre class="r"><code>msoaDT[, ct_BEIS := sumBEIS_tCO2 * 16]
+msoaDT[, ct_EPCs := sumEPC_tCO2 * 16]
-t <- sotonMSOA_DT[, .(CarbonTaxBEIS_GBP = prettyNum(sum(ct_BEIS), big.mark = ","),
+t <- msoaDT[, .(CarbonTaxBEIS_GBP = prettyNum(sum(ct_BEIS), big.mark = ","),
CarbonTaxEPCs_GBP = prettyNum(sum(ct_EPCs), big.mark = ",")),
keyby = .(LAName)]
-kableExtra::kable(t, caption = "Estimated Carbon tax liability for Southampton households/properties under Scenario 1") %>%
+kableExtra::kable(t, caption = "Estimated baseline Carbon Tax liability for Southampton households/properties") %>%
kable_styling()</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<caption>
-<span id="tab:msoaScenario1">Table 3.1: </span>Estimated Carbon tax liability for Southampton households/properties under Scenario 1
+<span id="tab:msoaScenario1">Table 5.1: </span>Estimated baseline Carbon Tax liability for Southampton households/properties
</caption>
<thead>
<tr>
@@ -6581,65 +2054,177 @@ Southampton
4,300,808
</td>
<td style="text-align:left;">
-3,609,088
+3,609,251
</td>
</tr>
</tbody>
</table>
-<p>As we would expect the values are relatively close due to the similar total emissions values estimated above.</p>
-<p>If we look at the values by MSOA (<a href="#fig:carbonTaxMSOAPlot">3.1</a>), we find that values differ quite substantially between the methods depending on the levels of EPC records (or missing households - see above) that we are likely to have.</p>
-<pre class="r"><code>ggplot2::ggplot(sotonMSOA_DT, aes(x = ct_BEIS/1000,
- y = ct_EPCs/1000,
+<pre class="r"><code>ct_perHH <- sum(msoaDT$ct_BEIS)/sum(msoaDT$nHHs_tenure)</code></pre>
+<p>As we would expect the values are relatively close due to the similar total emissions values estimated above. Using the BEIS estimate this works out to a mean of £43.77 per household per year. Not a lot. Would you try to de-carbonise your energy supply to try to reduce a Carbon Tax liability of that scale?</p>
+<pre class="r"><code>ct_perHH <- 102000000/sum(msoaDT$nHHs_tenure)</code></pre>
+<p>For context, Southampton City Council project a <code>Council Tax Requirement</code> of £102m in Council Tax in <a href="https://www.southampton.gov.uk/council-tax/information/how-much-we-spend.aspx">2020-2021</a>. That’s a mean of ~ £ 1038 per household per year…</p>
+<p>However, as we would expect given Figure <a href="#fig:co2MSOAPlot">4.1</a>, if we look at the values by MSOA (Figure <a href="#fig:carbonTaxMSOAPlot">5.1</a>), we find that values differ quite substantially between the methods depending on the levels of EPC records (or missing households - see above) that we are likely to have.</p>
+<pre class="r"><code>ggplot2::ggplot(msoaDT, aes(x = ct_EPCs/nHHs_tenure,
+ y = ct_BEIS/nHHs_tenure,
colour = round(ownerOcc_pc))) +
geom_abline(alpha = 0.2, slope=1, intercept=0) +
geom_point() +
scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
#theme(legend.position = "bottom") +
- labs(x = "EPC 2020 derived total Carbon Tax £k/year",
- y = "BEIS 2018 derived total Carbon Tax £k/year",
+ labs(x = "EPC 2020 derived total Carbon Tax £/household/year",
+ y = "BEIS 2018 derived total Carbon Tax £/household/year",
caption = "x = y line included for clarity")</code></pre>
<div class="figure"><span id="fig:carbonTaxMSOAPlot"></span>
-<img 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" alt="Energy demand comparison" width="672" />
+<img 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CCAAAIIIIAAAggggAACYS5AADTMHzC3hwACCCCAAAIIIIAAAggggAACCCCAQFkWIABalp8+944AAggggAACCCCAAAIIIIAAAggggECYCxAADfMHzO0hgAACCCCAAAIIIIAAAggggAACCCBQlgUIgJblp8+9I4AAAggggAACCCCAAAIIIIAAAgggEOYCBEDD/AFzewgggAACCCCAAAIIIIAAAggggAACCJRlAQKgZfnpc+8IIIAAAggggAACCCCAAAIIIIAAAgiEuQAB0DB/wNweAggggAACCCCAAAIIIIAAAggggAACZVkgOhxvfuXKlbJmzRrZsWOHRERESIMGDeTmm2+WunXrur3ds2fPypw5c2Tt2rWSlpYmycnJ0qJFC+nZs6dERUW5PYaNCCCAAAIIIIAAAggggAACCCCAAAIIIBD8AmEVAM3KypJXXnlFPvroIyOfmJgoZ86ckS1btsiCBQvk73//u1x99dUuTyU9PV2GDx8uP//8s9leuXJl+fzzz81n1apVMm7cOImNjXU5hhUEEEAAAQQQQAABBBBAAAEEEEAAAQQQCA0B27vAa8AxNze3VO5+6tSpJvhZtWpVmTx5ssybN08WLVokd911l+Tk5Mizzz4rhw4dcmnbE088YYKf7dq1k/nz58snn3wis2bNkosuukiWL18ukyZNcqnPCgIIIIAAAggggAACCCCAAAIIIIAAAgiEjoDtAVDNmKxXr56MHTtWMjIySkzi1KlTJvgZGRkpKSkp0rx5c9Fl7cI+aNAg061dg7NfffWVo01bt26V//znP1KuXDl58sknRTNGtdSqVUtefPFFc+zChQvlxIkTjmNYQAABBBBAAAEEEEAAAQQQQAABBBBAAIHQEbA9ADpjxgzZt2+fvPXWWxIXF1diEh9//LFoEHTgwIFy2WWXFbjuqFGj5K9//as0bdrUse/LL780y506dZL4+HjHdl3QrvBt27aVzMxM0SAoBQEEEEAAAQQQQAABBBBAAAEEEEAAAQRCT8DWAKh2Mz98+LBR6NixY4lOIKQTGGnR67orzZo1k/79+7sEQHVsUC3a/d1d0QCols2bN7vbzTYEEEAAAQQQQAABBBBAAAEEEEAAAQQQCHIBWydB0u7mV111lSxZssR0LdexQLUbekmUI0eOmMs0bNhQ9u7da7I2N23aJDoxUuPGjeWmm24qMAv8L7/8Yo5JSkpy20RruzVBkttK5zbef//9JlPU3f4//elP0qZNG3e7ysw259+AZtpGR9v6syszjqV1o/q89BlWqlSptJrAdf0Q4L3zAy2IDuG9C6KHUYSm8N4VASsIq/LeBeFD8aFJvHc+IAVxFd47+x5OXl6efSfjTAgggEAYCtgeidKxNL/99ls5cOCAmXzopZdekooVKxY73a+//mqCNLt375YxY8aYcTtjYmJMAHTHjh3yxRdfmO3dunVztEW7zGuxAp2OHf9dsNpt1cu/31rXrvRnz561Vl2+e/ToUaB7vUuFMraif8nRDyX0BPIPExF6d1B2W8x7F7rPnvcudJ8d713oPjveu9B9drx3ofvseO8Cf3alNRFx4C3nDAgggEDJCNgeidJg4htvvCEPP/ywTJs2zUxM1KRJEzMJ0YUXXiixsbEe70yzR6+88kqP+z3t0MmW9KMZqDrWp3Z3f+CBB8xkTL/99psZj3TBggUyYcIEs++CCy4wM9XrpEhaKlSo4PbUCQkJZrun4Kbbg9iIAAIIIIAAAggggAACCCCAAAIIIIAAAkEjYHsAVCca0mCjVdLT0+Wbb74xH2ubp++UlBS/AqDazV2LjkGqM7g///zzotmfWs4//3wzI71miOo4oe+8844Jzmp3GZ39/fTp0x6zN63AZ2FBW73G/PnzTUBVl/MXPVavXZaLToaVmJhoCDSb1ltGbVm2CsZ7138g0IyKtLS0YGwebfIgwHvnASZENvPehciDytdM3rt8ICG2ynsXYg/sv83Vv2tbvbn4e2boPUPeO3ufWbVq1ew9IWdDAAEEwkjA9gBoadhocE3/8qMztutER1bw07ktAwYMMAHQH374wbFZg6M6vueJEycc25wXrO3nnXee8+YCy3Xr1i2wzdqgQSMr09TaVta+nbtj6Ng0GqimhI6ANZ4Qzy10npm2lPcutJ5X/tby3uUXCY113rvQeE6eWsl750kmuLfz3gX38/HWOt47b0LsRwABBBCwS8D2AOiMGTM8ZlR6a7TV5dxbPXf7NZi5f/9+qVmzprvdJjNUd+jYpFbxFgA9fvy4qcrkL5YY3wgggAACCCCAAAIIIIAAAggggAACCISWgO0B0NIKFmq6vwZA9+zZI1dccUWBp6Bd8bU0aNDAsc/qIrBr1y5p3769Y7u1oNu16BimFAQQQAABBBBAAAEEEEAAAQQQQAABBBAIPYHIYGqy1QXCnzZZs7vrDPTuyoYNG8zmSy+91LHbOmbx4sWObdaCdqdZunSpWW3RooW1mW8EEEAAAQQQQAABBBBAAAEEEEAAAQQQCCEB2zNAne9dszEPHjxoxubMPz5Pdna2GQtSBys/dOiQfPbZZ9KhQwd55JFHnE/h83Lv3r1l+vTpsm7dOvnnP/8pt99+u+PY1NRUmTVrlpkl3jk7VLM+dWb6nTt3ysKFC6VXr16OY2bOnCk6g3y9evWkXbt2ju0sIIAAAggggAACCCCAAAIIIIAAAggggEDoCBRLAHT16tUyZswY+eqrr4ok0aZNmyLVd66skyCNGjVKHn/8cXnrrbdkzZo1ouc7cuSIfP7552ZcUm1T06ZNHYdFRETI0KFD5bHHHpOnn37azFSfnJws3333nVnWyZQefvhh0XoUBBBAAAEEEEAAAQQQQAABBBBAAAEEEAg9AdsDoDrr+XXXXWcyP4vCoZMXXXzxxUU5pEDdq666St58802ZMGGCCWJu3rzZ1GnYsKGZHb5Pnz5uj5k4caIJgC5btkz0o0UzQ0eOHCmXXXZZgWPYgAACCCCAAAIIIIAAAggggAACCCCAAAKhIWB7AFQzKbXbuxYdY7Nfv35Srlw5GTZsmMTFxcnbb78t2u1979698sEHH4h2T9eJibZv3y6acRlo0WCnXiMjI0N0EqNatWqJt4mZWrZsKbNnzzZd3n/++WfRyZGqV68ukZFBNURqoDQcjwACCCCAAAIIIIAAAggggAACCCCAQJkTsD0AqmNwarnmmmtk0aJFDtBnn33WBDsbNWokbdu2Ndu1e3nPnj1Nd/UXXnjBdJt3HBDgQvny5aVZs2ZFOkuVKlVEPxQEEEAAAQQQQAABBBBAAAEEEEAAAQQQCA8B21McdUIhLSNGjHAR+sMf/mDWrS7mupKUlCQ6A/tFF10k48ePl927d7scwwoCCCCAAAIIIIAAAggggAACCCCAAAIIIBCIgK0B0KysLPnll19Me3QyIefSuHFjs2qNy2ntS0hIMLOvnz59Wj766CNrM98IIIAAAggggAACCCCAAAIIIIAAAggggEDAArYGQHUMT6sLeXS0a+96TwFQvYNOnTqZG9HZ1ykIIIAAAggggAACCCCAAAIIIIAAAggggIBdArYGQLVR1kzu+buzN2nSxLRZJzvKzMx0ab+O16lly5YtLttZQQABBBBAAAEEEEAAAQQQQAABBBBAAAEEAhEotgDoG2+84dIuzQDVrNDs7GxZvny5y7758+eb9QoVKrhsZwUBBBBAAAEEEEAAAQQQQAABBBBAAAEEEAhEwPYA6J///GeJiIiQ2bNny8CBA2Xt2rWmfdo9/oorrjDLw4cPl/3790teXp58+umnMmfOHLO9YcOGgdwLxyKAAAIIIIAAAggggAACCCCAAAIIIIAAAi4CtgdAr7rqKrnvvvvMRT788EPp16+f44KjRo0yyzpTfJ06daRGjRpm/+HDh812DZ5SEEAAAQQQQAABBIJfIO/4Qcn9eYPk/vqD5OVkB3+DaSECCCCAAAIIIIBAmRVwnanIJoZnnnlGcnNzZfr06XLRRRc5ztq3b1+555575NVXXzX7Dx065Ng3dOhQ6dixo2OdBQQQQAABBBBAAIHgE8jZ+rlkf/Wy5B3a/r/GxVeUqMtvkuir7pOIeIY0+h8MSwgggAACCCCAAALBIFAsAVCd1OiVV16Rp556SjZu3Oi4T+0aP3nyZGnVqpV8/PHHsmHDBtFu77feeqvcddddjnosIIAAAggggAACCASfQNaiJyXnmykFG3bmuOSsektydyyR2EEzJaJi9YJ12IIAAggggAACCCCAQCkJFEsA1LqXihUrinaJz1/uuOMO0Q8FAQQQQAABBBBAIDQEste95z746dT8vN92Seb7d0vskA8lItL2kZacrsQiAggggAACCCCAAAK+C/A3U9+tqIkAAggggAACCJRJgbzsTMle8rxP9573y0bJ3brAp7pUQgABBBBAAAEEEECgJARKNAB66tQpOXnyZEncF9dAAAEEEEAAAQQQsEkgd+8akYw0n8+Ws3Whz3WpiAACCCCAAAIIIIBAcQsUawBUZ3d/8MEHpVOnTlKzZk1JSEiQcePGmXvavXu3XHnllTJnzhwzIVJx3yjnRwABBBBAAAEEEPBPIO+33UU6sKj1i3RyKiOAAAIIIIAAAgggUESBYhkDNC8vT15++WV5/PHHJT093W2T9uzZIytWrDAfnQRJZ4yPiYlxW5eNCCCAAAIIIIAAAqUoEFnEvzJGFbF+Kd4al0YAAQQQQAABBBAIf4FiyQB96aWXZOTIkSb4GR0dLS1btjSzvTtzZmdnOwKe7777rtx9993Ou1lGAAEEEEAAAQQQCBKByAsuLlJLIqs1LlJ9KiOAAAIIIIAAAgggUJwCtgdAv/vuOxk7dqxpc58+fSQ1NVXWr18vuuxcunfvbvZpN3gtmgG6Y8cO5yosI4AAAggggAACCASBQEStFhJR+UKfWxLZ/Hqf61IRAQQQQAABBBBAAIHiFrA9ADpx4kQ5e/asyfqcPXu21K1b1+M91KlTR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" alt="Energy demand comparison" width="672" />
<p class="caption">
-Figure 3.1: Energy demand comparison
+Figure 5.1: Energy demand comparison
</p>
</div>
<pre class="r"><code>#outlier <- t[sumEpcMWh > 70000]</code></pre>
-<p>Perhaps of more interest however is the relationship between estimated Carbon Tax £ and levels of deprivation. Figure <a href="#fig:carbonTaxMSOAPlotDep">3.2</a> shows the estimated total Carbon Tax (in £k per year) per MSOA against the proportion of households in the MSOA who do not suffer from any dimension of deprivation as defined by the English <a href="https://www.nomisweb.co.uk/census/2011/qs119ew">Indices of Multiple Deprivation</a>. As we can see the higher the proportion of households with no deprivation, the higher the total MSOA Carbon Tax. This suggests that a Carbon Tax will be regressive - those who pay the most are likely to be those who use more energy and thus are likely to be those who can afford to do so.</p>
-<p>But we need to be very careful. Some deprived households might well spend a high proportion of their income on energy in order to heat very energy efficient homes. For them, a Carbon Tax would be similar to VAT - an additional burden that might be relatively small in £ terms (compared to a well-off high energy-using household) but high in terms of the % of their income (or expenditure). This is a well known issue highlighted by recent <a href="https://twitter.com/dataknut/status/1312855327491133441/photo/1">ONS data on family energy expenditures</a>.</p>
-<pre class="r"><code>t1 <- sotonMSOA_DT[, .(MSOACode, ctSum = ct_EPCs, dep0_pc)]
-t1[, source := "BEIS 2018"]
-t2 <- sotonMSOA_DT[, .(MSOACode, ctSum = ct_BEIS, dep0_pc)]
-t2[, source := "EPC 2020"]
+<p>Perhaps of more interest however is the relationship between estimated Carbon Tax £ per household and levels of deprivation. Figure <a href="#fig:carbonTaxMSOAPlotDep">5.2</a> shows the estimated mean Carbon Tax per household (in £ per year using Census 2011 household counts) for each MSOA against the proportion of households in the MSOA who do not suffer from any dimension of deprivation as defined by the English <a href="https://www.nomisweb.co.uk/census/2011/qs119ew">Indices of Multiple Deprivation</a>. As we can see the higher the proportion of households with no deprivation, the higher the mean household Carbon Tax. This suggests that a Carbon Tax will be progressive - those who pay the most are likely to be those who use more energy and thus are likely to be those who can afford to do so. Interestingly the BEIS-derived estimates show a much stronger trend than the EPC data which relies solely on building fabric model-based estimates of carbon emissions.</p>
+<pre class="r"><code>epcBaseline <- msoaDT[, .(MSOACode, ctSum = ct_EPCs, nHHs_tenure, dep0_pc)]
+epcBaseline[, source := "EPCs 2020"]
+beisBaseline <- msoaDT[, .(MSOACode, ctSum = ct_BEIS, nHHs_tenure, dep0_pc)]
+beisBaseline[, source := "BEIS 2018"]
-plotDT <- rbind(t1,t2)
+plotDT <- rbind(epcBaseline,beisBaseline)
-ggplot2::ggplot(plotDT, aes(x = dep0_pc, y = ctSum, colour = source)) +
+ggplot2::ggplot(plotDT, aes(x = dep0_pc, y = ctSum/nHHs_tenure, colour = source)) +
geom_point() +
geom_smooth() +
#theme(legend.position = "bottom") +
labs(x = "% with no deprivation dimensions \n(Census 2011)",
- y = "Carbon Tax £k/year",
- caption = "x = y line included for clarity")</code></pre>
+ y = "Carbon Tax £/household/year",
+ caption = "Smoothed trend line via loess")</code></pre>
<pre><code>## `geom_smooth()` using method = 'loess' and formula 'y ~ x'</code></pre>
<div class="figure"><span id="fig:carbonTaxMSOAPlotDep"></span>
-<img 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" alt="Energy demand comparison" width="672" />
+<img 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" alt="Carbon Tax comparison by MSOA deprivation levels" width="672" />
<p class="caption">
-Figure 3.2: Energy demand comparison
+Figure 5.2: Carbon Tax comparison by MSOA deprivation levels
</p>
</div>
<pre class="r"><code>#outlier <- t[sumEpcMWh > 70000]</code></pre>
+<p>But we need to be very careful. Some deprived households might well spend a high proportion of their income on energy in order to heat very energy efficient homes. For them, a Carbon Tax would be similar to VAT - an additional burden that might be relatively small in £ terms (compared to a well-off high energy-using household) but high in terms of the % of their income (or expenditure). This is a <a href="https://www.sciencedirect.com/science/article/pii/S0921800913000980">well known issue</a> highlighted by recent <a href="https://twitter.com/dataknut/status/1312855327491133441/photo/1">ONS data on family energy expenditures</a>.</p>
</div>
-<div id="national-grids-future-energy-scenarios" class="section level2">
-<h2><span class="header-section-number">3.2</span> National Grid’s Future Energy Scenarios:</h2>
+<div id="reducing-electricity-carbon-intensity" class="section level2">
+<h2><span class="header-section-number">5.2</span> Reducing electricity carbon intensity</h2>
+<pre class="r"><code>elecCF_scen1 <- 100</code></pre>
+<p>Under this scenario we repeat the preceding analysis but use:</p>
+<ul>
+<li>electricity: 100 g CO2e/kWh
<ul>
-<li>2030 emissions level for electricity of 0.102 kgCO2/kWh</li>
-<li>gas unchanged</li>
+<li>gas: 215 g CO2e/kWh</li>
+</ul></li>
</ul>
+<pre class="r"><code>msoaDT[, sumBEIS_gCO2_scen1 := (beisElecMWh*1000)*elecCF_scen1 + (beisGasMWh*1000)*gasCF] # calculate via g & kWh
+msoaDT[, sumBEIS_tCO2_scen1 := sumBEIS_gCO2_scen1/1000000] # tonnes
+
+msoaDT[, ct_BEIS_scen1 := sumBEIS_tCO2_scen1 * 16]
+
+t <- msoaDT[, .(Baseline = sum(ct_BEIS),
+ Scenario_1 = sum(ct_BEIS_scen1)),
+ keyby = .(LAName)]
+t[, reduction_pc := round(100*(1-(Scenario_1/Baseline)))]
+
+kableExtra::kable(t, caption = "Estimated Carbon Tax liability for Southampton households/properties under Scenario 1") %>%
+ kable_styling()</code></pre>
+<table class="table" style="margin-left: auto; margin-right: auto;">
+<caption>
+<span id="tab:msoaScenario1Table">Table 5.2: </span>Estimated Carbon Tax liability for Southampton households/properties under Scenario 1
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+LAName
+</th>
+<th style="text-align:right;">
+Baseline
+</th>
+<th style="text-align:right;">
+Scenario_1
+</th>
+<th style="text-align:right;">
+reduction_pc
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Southampton
+</td>
+<td style="text-align:right;">
+4300808
+</td>
+<td style="text-align:right;">
+3687381
+</td>
+<td style="text-align:right;">
+14
+</td>
+</tr>
+</tbody>
+</table>
+<p>Table <a href="#tab:msoaScenario1">5.1</a> suggests this will result in a 14 % reduction in Carbon Tax.</p>
+<p>Figure <a href="#fig:carbonTaxMSOAPlotDepSecen1">5.3</a> shows the estimated mean annual Carbon Tax per household (£ per household per year) per MSOA under the new scenario against the proportion of households in the MSOA who do not suffer from any dimension of deprivation as defined by the English <a href="https://www.nomisweb.co.uk/census/2011/qs119ew">Indices of Multiple Deprivation</a>. It also shows the original BEIS baseline for comparison. As we can see the shapes of the curves are similar but with an overall reduction. There do not appear to be any particular advantages for areas with higher or lower deprivation levels.</p>
+<pre class="r"><code>scen1 <- msoaDT[, .(MSOACode, ctSum = ct_BEIS_scen1, dep0_pc,nHHs_tenure)]
+scen1[, source := "BEIS 2018 (Scenario 1)"]
+beisBaseline[, source := "BEIS 2018 (Baseline)"]
+plotDT <- rbind(beisBaseline, scen1)
+
+ggplot2::ggplot(plotDT, aes(x = dep0_pc, y = ctSum/nHHs_tenure, colour = source)) +
+ geom_point() +
+ geom_smooth() +
+ #theme(legend.position = "bottom") +
+ labs(x = "% with no deprivation dimensions \n(Census 2011)",
+ y = "Carbon Tax £/housheold/year")</code></pre>
+<pre><code>## `geom_smooth()` using method = 'loess' and formula 'y ~ x'</code></pre>
+<div class="figure"><span id="fig:carbonTaxMSOAPlotDepSecen1"></span>
+<img 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" alt="Carbon tax by deprivation under Scenario 1" width="672" />
+<p class="caption">
+Figure 5.3: Carbon tax by deprivation under Scenario 1
+</p>
</div>
+<pre class="r"><code>#outlier <- t[sumEpcMWh > 70000]</code></pre>
+<pre class="r"><code>setkey(beisBaseline, MSOACode)
+setkey(scen1, MSOACode)
+plotDT <- beisBaseline[scen1]
+plotDT[, delta := i.ctSum-ctSum]
+
+ggplot2::ggplot(plotDT, aes(x = dep0_pc, y = delta/nHHs_tenure)) +
+ geom_point() +
+ geom_smooth() +
+ #theme(legend.position = "bottom") +
+ labs(x = "% with no deprivation dimensions \n(Census 2011)",
+ y = "Increase/decrease (-ve) in Carbon Tax £ per household/year")</code></pre>
+<pre><code>## `geom_smooth()` using method = 'loess' and formula 'y ~ x'</code></pre>
+<div class="figure"><span id="fig:carbonTaxMSOAPlotDepChange"></span>
+<img 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alt="Carbon tax by deprivation under Scenario 1" width="672" />
+<p class="caption">
+Figure 5.4: Carbon tax by deprivation under Scenario 1
+</p>
+</div>
+<pre class="r"><code>outlier <- plotDT[delta < -40000]
+outlier$MSOACode</code></pre>
+<pre><code>## [1] "E02003577"</code></pre>
+<p>However if we analyse the total change by MSOA (<a href="#fig:carbonTaxMSOAPlotDepChange">5.4</a>) we see that one area (E02003577) shows a marked reduction. We have seen this area before - it has the <a href="epcChecks.html#5_Check_BEIS_data">highest electricity demand</a> so no surprises there.</p>
+</div>
+</div>
+<div id="so-what" class="section level1">
+<h1><span class="header-section-number">6</span> So what?</h1>
+<p>Several things are clear from these #backOfaFagPacket estimates:</p>
+<ul>
+<li>we need much better data</li>
+<li>if the data we have is in any way remotely robust then:
+<ul>
+<li>a domestic Carbon Tax of £16/TCO2 is not going to produce a large incentive to de-carbonise</li>
+<li>given that larger and wealthier households use more energy, a fixed rate Carbon Tax might be progressive - but we need dwelling level analysis to confirm this</li>
+<li>but wealthier households would potentially have the capital to de-carbonise quicker</li>
+</ul></li>
+</ul>
</div>
<div id="r-packages-used" class="section level1">
-<h1><span class="header-section-number">4</span> R packages used</h1>
+<h1><span class="header-section-number">7</span> R packages used</h1>
<ul>
<li>rmarkdown <span class="citation">(Allaire et al. 2018)</span></li>
<li>bookdown <span class="citation">(Xie 2016a)</span></li>
diff --git a/docs/epcChecks.html b/docs/epcChecks.html
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+++ b/docs/epcChecks.html
@@ -0,0 +1,6943 @@
+<!DOCTYPE html>
+
+<html>
+
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+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
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+<meta name="author" content="Ben Anderson" />
+
+
+<title>Checking EPC datasets for Southampton</title>
+
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) 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e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
+})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
+i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td> </td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
+t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html(" "),e.text(this.options.title)
+},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html(" ")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal 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class='ui-effects-transfer'></div>").appendTo(document.body).addClass(t.className).css({top:d.top-r,left:d.left-h,height:s.innerHeight(),width:s.innerWidth(),position:a?"fixed":"absolute"}).animate(u,t.duration,t.easing,function(){c.remove(),i()})}});</script>
+<style type="text/css">
+
+.tocify {
+width: 20%;
+max-height: 90%;
+overflow: auto;
+margin-left: 2%;
+position: fixed;
+border: 1px solid #ccc;
+border-radius: 6px;
+}
+
+.tocify ul, .tocify li {
+list-style: none;
+margin: 0;
+padding: 0;
+border: none;
+line-height: 30px;
+}
+
+.tocify-header {
+text-indent: 10px;
+}
+
+.tocify-subheader {
+text-indent: 20px;
+display: none;
+}
+
+.tocify-subheader li {
+font-size: 12px;
+}
+
+.tocify-subheader .tocify-subheader {
+text-indent: 30px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 40px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 50px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 60px;
+}
+
+.tocify .tocify-item > a, .tocify .nav-list .nav-header {
+margin: 0px;
+}
+
+.tocify .tocify-item a, .tocify .list-group-item {
+padding: 5px;
+}
+.tocify .nav-pills > li {
+float: none;
+}
+
+
+</style>
+<script>/* jquery Tocify - v1.9.1 - 2013-10-22
+ * http://www.gregfranko.com/jquery.tocify.js/
+ * Copyright (c) 2013 Greg Franko; Licensed MIT */
+
+// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic. I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
+(function(tocify) {
+
+ // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
+ "use strict";
+
+ // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
+ tocify(window.jQuery, window, document);
+
+ }
+
+ // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable. The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set. All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
+ (function($, window, document, undefined) {
+
+ // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
+ "use strict";
+
+ var tocClassName = "tocify",
+ tocClass = "." + tocClassName,
+ tocFocusClassName = "tocify-focus",
+ tocHoverClassName = "tocify-hover",
+ hideTocClassName = "tocify-hide",
+ hideTocClass = "." + hideTocClassName,
+ headerClassName = "tocify-header",
+ headerClass = "." + headerClassName,
+ subheaderClassName = "tocify-subheader",
+ subheaderClass = "." + subheaderClassName,
+ itemClassName = "tocify-item",
+ itemClass = "." + itemClassName,
+ extendPageClassName = "tocify-extend-page",
+ extendPageClass = "." + extendPageClassName;
+
+ // Calling the jQueryUI Widget Factory Method
+ $.widget("toc.tocify", {
+
+ //Plugin version
+ version: "1.9.1",
+
+ // These options will be used as defaults
+ options: {
+
+ // **context**: Accepts String: Any jQuery selector
+ // The container element that holds all of the elements used to generate the table of contents
+ context: "body",
+
+ // **ignoreSelector**: Accepts String: Any jQuery selector
+ // A selector to any element that would be matched by selectors that you wish to be ignored
+ ignoreSelector: null,
+
+ // **selectors**: Accepts an Array of Strings: Any jQuery selectors
+ // The element's used to generate the table of contents. The order is very important since it will determine the table of content's nesting structure
+ selectors: "h1, h2, h3",
+
+ // **showAndHide**: Accepts a boolean: true or false
+ // Used to determine if elements should be shown and hidden
+ showAndHide: true,
+
+ // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
+ // Used to display any of the table of contents nested items
+ showEffect: "slideDown",
+
+ // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+ // The time duration of the show animation
+ showEffectSpeed: "medium",
+
+ // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
+ // Used to hide any of the table of contents nested items
+ hideEffect: "slideUp",
+
+ // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+ // The time duration of the hide animation
+ hideEffectSpeed: "medium",
+
+ // **smoothScroll**: Accepts a boolean: true or false
+ // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
+ smoothScroll: true,
+
+ // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+ // The time duration of the smoothScroll animation
+ smoothScrollSpeed: "medium",
+
+ // **scrollTo**: Accepts Number (pixels)
+ // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
+ scrollTo: 0,
+
+ // **showAndHideOnScroll**: Accepts a boolean: true or false
+ // Determines if table of contents nested items should be shown and hidden while scrolling
+ showAndHideOnScroll: true,
+
+ // **highlightOnScroll**: Accepts a boolean: true or false
+ // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
+ highlightOnScroll: true,
+
+ // **highlightOffset**: Accepts a number
+ // The offset distance in pixels to trigger the next active table of contents item
+ highlightOffset: 40,
+
+ // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
+ // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
+ theme: "bootstrap",
+
+ // **extendPage**: Accepts a boolean: true or false
+ // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
+ extendPage: true,
+
+ // **extendPageOffset**: Accepts a number: pixels
+ // How close to the bottom of the page a user must scroll before the page is extended
+ extendPageOffset: 100,
+
+ // **history**: Accepts a boolean: true or false
+ // Adds a hash to the page url to maintain history
+ history: true,
+
+ // **scrollHistory**: Accepts a boolean: true or false
+ // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
+ scrollHistory: false,
+
+ // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
+ // # character) will be generated.
+ //
+ // "compact" (default) - #CompressesEverythingTogether
+ // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
+ // function(text, element){} - Your own hash generation function that accepts the text as an
+ // argument, and returns the hash value.
+ hashGenerator: "compact",
+
+ // **highlightDefault**: Accepts a boolean: true or false
+ // Set's the first TOC item as active if no other TOC item is active.
+ highlightDefault: true
+
+ },
+
+ // _Create
+ // -------
+ // Constructs the plugin. Only called once.
+ _create: function() {
+
+ var self = this;
+
+ self.extendPageScroll = true;
+
+ // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
+ self.items = [];
+
+ // Generates the HTML for the dynamic table of contents
+ self._generateToc();
+
+ // Adds CSS classes to the newly generated table of contents HTML
+ self._addCSSClasses();
+
+ self.webkit = (function() {
+
+ for (var prop in window) {
+
+ if (prop) {
+
+ if (prop.toLowerCase().indexOf("webkit") !== -1) {
+
+ return true;
+
+ }
+
+ }
+
+ }
+
+ return false;
+
+ }());
+
+ // Adds jQuery event handlers to the newly generated table of contents
+ self._setEventHandlers();
+
+ // Binding to the Window load event to make sure the correct scrollTop is calculated
+ $(window).load(function() {
+
+ // Sets the active TOC item
+ self._setActiveElement(true);
+
+ // Once all animations on the page are complete, this callback function will be called
+ $("html, body").promise().done(function() {
+
+ setTimeout(function() {
+
+ self.extendPageScroll = false;
+
+ }, 0);
+
+ });
+
+ });
+
+ },
+
+ // _generateToc
+ // ------------
+ // Generates the HTML for the dynamic table of contents
+ _generateToc: function() {
+
+ // _Local variables_
+
+ // Stores the plugin context in the self variable
+ var self = this,
+
+ // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
+ firstElem,
+
+ // Instantiated variable that will store the top level newly created unordered list DOM element
+ ul,
+ ignoreSelector = self.options.ignoreSelector;
+
+
+ // Determine the element to start the toc with
+ // get all the top level selectors
+ firstElem = [];
+ var selectors = this.options.selectors.replace(/ /g, "").split(",");
+ // find the first set that have at least one non-ignored element
+ for(var i = 0; i < selectors.length; i++) {
+ var foundSelectors = $(this.options.context).find(selectors[i]);
+ for (var s = 0; s < foundSelectors.length; s++) {
+ if (!$(foundSelectors[s]).is(ignoreSelector)) {
+ firstElem = foundSelectors;
+ break;
+ }
+ }
+ if (firstElem.length> 0)
+ break;
+ }
+
+ if (!firstElem.length) {
+
+ self.element.addClass(hideTocClassName);
+
+ return;
+
+ }
+
+ self.element.addClass(tocClassName);
+
+ // Loops through each top level selector
+ firstElem.each(function(index) {
+
+ //If the element matches the ignoreSelector then we skip it
+ if ($(this).is(ignoreSelector)) {
+ return;
+ }
+
+ // Creates an unordered list HTML element and adds a dynamic ID and standard class name
+ ul = $("<ul/>", {
+ "id": headerClassName + index,
+ "class": headerClassName
+ }).
+
+ // Appends a top level list item HTML element to the previously created HTML header
+ append(self._nestElements($(this), index));
+
+ // Add the created unordered list element to the HTML element calling the plugin
+ self.element.append(ul);
+
+ // Finds all of the HTML tags between the header and subheader elements
+ $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {
+
+ // If there are no nested subheader elemements
+ if ($(this).find(self.options.selectors).length === 0) {
+
+ // Loops through all of the subheader elements
+ $(this).filter(self.options.selectors).each(function() {
+
+ //If the element matches the ignoreSelector then we skip it
+ if ($(this).is(ignoreSelector)) {
+ return;
+ }
+
+ self._appendSubheaders.call(this, self, ul);
+
+ });
+
+ }
+
+ // If there are nested subheader elements
+ else {
+
+ // Loops through all of the subheader elements
+ $(this).find(self.options.selectors).each(function() {
+
+ //If the element matches the ignoreSelector then we skip it
+ if ($(this).is(ignoreSelector)) {
+ return;
+ }
+
+ self._appendSubheaders.call(this, self, ul);
+
+ });
+
+ }
+
+ });
+
+ });
+
+ },
+
+ _setActiveElement: function(pageload) {
+
+ var self = this,
+
+ hash = window.location.hash.substring(1),
+
+ elem = self.element.find('li[data-unique="' + hash + '"]');
+
+ if (hash.length) {
+
+ // Removes highlighting from all of the list item's
+ self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+ // Highlights the current list item that was clicked
+ elem.addClass(self.focusClass);
+
+ // Triggers the click event on the currently focused TOC item
+ elem.click();
+
+ } else {
+
+ // Removes highlighting from all of the list item's
+ self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+ if (!hash.length && pageload && self.options.highlightDefault) {
+
+ // Highlights the first TOC item if no other items are highlighted
+ self.element.find(itemClass).first().addClass(self.focusClass);
+
+ }
+
+ }
+
+ return self;
+
+ },
+
+ // _nestElements
+ // -------------
+ // Helps create the table of contents list by appending nested list items
+ _nestElements: function(self, index) {
+
+ var arr, item, hashValue;
+
+ arr = $.grep(this.items, function(item) {
+
+ return item === self.text();
+
+ });
+
+ // If there is already a duplicate TOC item
+ if (arr.length) {
+
+ // Adds the current TOC item text and index (for slight randomization) to the internal array
+ this.items.push(self.text() + index);
+
+ }
+
+ // If there not a duplicate TOC item
+ else {
+
+ // Adds the current TOC item text to the internal array
+ this.items.push(self.text());
+
+ }
+
+ hashValue = this._generateHashValue(arr, self, index);
+
+ // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
+ item = $("<li/>", {
+
+ // Sets a common class name to the list item
+ "class": itemClassName,
+
+ "data-unique": hashValue
+
+ });
+
+ if (this.options.theme !== "bootstrap3") {
+
+ item.append($("<a/>", {
+
+ "html": self.html()
+
+ }));
+
+ } else {
+
+ item.html(self.html());
+
+ }
+
+ // Adds an HTML anchor tag before the currently traversed HTML element
+ self.before($("<div/>", {
+
+ // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
+ "name": hashValue,
+
+ "data-unique": hashValue
+
+ }));
+
+ return item;
+
+ },
+
+ // _generateHashValue
+ // ------------------
+ // Generates the hash value that will be used to refer to each item.
+ _generateHashValue: function(arr, self, index) {
+
+ var hashValue = "",
+ hashGeneratorOption = this.options.hashGenerator;
+
+ if (hashGeneratorOption === "pretty") {
+
+ // prettify the text
+ hashValue = self.text().toLowerCase().replace(/\s/g, "-");
+
+ // fix double hyphens
+ while (hashValue.indexOf("--") > -1) {
+ hashValue = hashValue.replace(/--/g, "-");
+ }
+
+ // fix colon-space instances
+ while (hashValue.indexOf(":-") > -1) {
+ hashValue = hashValue.replace(/:-/g, "-");
+ }
+
+ } else if (typeof hashGeneratorOption === "function") {
+
+ // call the function
+ hashValue = hashGeneratorOption(self.text(), self);
+
+ } else {
+
+ // compact - the default
+ hashValue = self.text().replace(/\s/g, "");
+
+ }
+
+ // add the index if we need to
+ if (arr.length) {
+ hashValue += "" + index;
+ }
+
+ // return the value
+ return hashValue;
+
+ },
+
+ // _appendElements
+ // ---------------
+ // Helps create the table of contents list by appending subheader elements
+
+ _appendSubheaders: function(self, ul) {
+
+ // The current element index
+ var index = $(this).index(self.options.selectors),
+
+ // Finds the previous header DOM element
+ previousHeader = $(self.options.selectors).eq(index - 1),
+
+ currentTagName = +$(this).prop("tagName").charAt(1),
+
+ previousTagName = +previousHeader.prop("tagName").charAt(1),
+
+ lastSubheader;
+
+ // If the current header DOM element is smaller than the previous header DOM element or the first subheader
+ if (currentTagName < previousTagName) {
+
+ // Selects the last unordered list HTML found within the HTML element calling the plugin
+ self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));
+
+ }
+
+ // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
+ else if (currentTagName === previousTagName) {
+
+ ul.find(itemClass).last().after(self._nestElements($(this), index));
+
+ } else {
+
+ // Selects the last unordered list HTML found within the HTML element calling the plugin
+ ul.find(itemClass).last().
+
+ // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
+ after($("<ul/>", {
+
+ "class": subheaderClassName,
+
+ "data-tag": currentTagName
+
+ })).next(subheaderClass).
+
+ // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
+ append(self._nestElements($(this), index));
+ }
+
+ },
+
+ // _setEventHandlers
+ // ----------------
+ // Adds jQuery event handlers to the newly generated table of contents
+ _setEventHandlers: function() {
+
+ // _Local variables_
+
+ // Stores the plugin context in the self variable
+ var self = this,
+
+ // Instantiates a new variable that will be used to hold a specific element's context
+ $self,
+
+ // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
+ duration;
+
+ // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
+ this.element.on("click.tocify", "li", function(event) {
+
+ if (self.options.history) {
+
+ window.location.hash = $(this).attr("data-unique");
+
+ }
+
+ // Removes highlighting from all of the list item's
+ self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+ // Highlights the current list item that was clicked
+ $(this).addClass(self.focusClass);
+
+ // If the showAndHide option is true
+ if (self.options.showAndHide) {
+
+ var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');
+
+ self._triggerShow(elem);
+
+ }
+
+ self._scrollTo($(this));
+
+ });
+
+ // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
+ this.element.find("li").on({
+
+ // Mouseenter event handler
+ "mouseenter.tocify": function() {
+
+ // Adds a hover CSS class to the current list item
+ $(this).addClass(self.hoverClass);
+
+ // Makes sure the cursor is set to the pointer icon
+ $(this).css("cursor", "pointer");
+
+ },
+
+ // Mouseleave event handler
+ "mouseleave.tocify": function() {
+
+ if (self.options.theme !== "bootstrap") {
+
+ // Removes the hover CSS class from the current list item
+ $(this).removeClass(self.hoverClass);
+
+ }
+
+ }
+ });
+
+ // only attach handler if needed (expensive in IE)
+ if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
+ // Window scroll event handler
+ $(window).on("scroll.tocify", function() {
+
+ // Once all animations on the page are complete, this callback function will be called
+ $("html, body").promise().done(function() {
+
+ // Local variables
+
+ // Stores how far the user has scrolled
+ var winScrollTop = $(window).scrollTop(),
+
+ // Stores the height of the window
+ winHeight = $(window).height(),
+
+ // Stores the height of the document
+ docHeight = $(document).height(),
+
+ scrollHeight = $("body")[0].scrollHeight,
+
+ // Instantiates a variable that will be used to hold a selected HTML element
+ elem,
+
+ lastElem,
+
+ lastElemOffset,
+
+ currentElem;
+
+ if (self.options.extendPage) {
+
+ // If the user has scrolled to the bottom of the page and the last toc item is not focused
+ if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {
+
+ if (!$(extendPageClass).length) {
+
+ lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');
+
+ if (!lastElem.length) return;
+
+ // Gets the top offset of the page header that is linked to the last toc item
+ lastElemOffset = lastElem.offset().top;
+
+ // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
+ $(self.options.context).append($("<div/>", {
+
+ "class": extendPageClassName,
+
+ "height": Math.abs(lastElemOffset - winScrollTop) + "px",
+
+ "data-unique": extendPageClassName
+
+ }));
+
+ if (self.extendPageScroll) {
+
+ currentElem = self.element.find('li.' + self.focusClass);
+
+ self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));
+
+ }
+
+ }
+
+ }
+
+ }
+
+ // The zero timeout ensures the following code is run after the scroll events
+ setTimeout(function() {
+
+ // _Local variables_
+
+ // Stores the distance to the closest anchor
+ var closestAnchorDistance = null,
+
+ // Stores the index of the closest anchor
+ closestAnchorIdx = null,
+
+ // Keeps a reference to all anchors
+ anchors = $(self.options.context).find("div[data-unique]"),
+
+ anchorText;
+
+ // Determines the index of the closest anchor
+ anchors.each(function(idx) {
+ var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
+ if (closestAnchorDistance == null || distance < closestAnchorDistance) {
+ closestAnchorDistance = distance;
+ closestAnchorIdx = idx;
+ } else {
+ return false;
+ }
+ });
+
+ anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");
+
+ // Stores the list item HTML element that corresponds to the currently traversed anchor tag
+ elem = $('li[data-unique="' + anchorText + '"]');
+
+ // If the `highlightOnScroll` option is true and a next element is found
+ if (self.options.highlightOnScroll && elem.length) {
+
+ // Removes highlighting from all of the list item's
+ self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+ // Highlights the corresponding list item
+ elem.addClass(self.focusClass);
+
+ }
+
+ if (self.options.scrollHistory) {
+
+ if (window.location.hash !== "#" + anchorText) {
+
+ window.location.replace("#" + anchorText);
+
+ }
+ }
+
+ // If the `showAndHideOnScroll` option is true
+ if (self.options.showAndHideOnScroll && self.options.showAndHide) {
+
+ self._triggerShow(elem, true);
+
+ }
+
+ }, 0);
+
+ });
+
+ });
+ }
+
+ },
+
+ // Show
+ // ----
+ // Opens the current sub-header
+ show: function(elem, scroll) {
+
+ // Stores the plugin context in the `self` variable
+ var self = this,
+ element = elem;
+
+ // If the sub-header is not already visible
+ if (!elem.is(":visible")) {
+
+ // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
+ if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {
+
+ // Sets the current element to all of the subheaders within the current header
+ elem = elem.parents(subheaderClass).add(elem);
+
+ }
+
+ // If the current element does not have any nested subheaders and is not a header
+ else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {
+
+ // Sets the current element to the closest subheader
+ elem = elem.closest(subheaderClass);
+
+ }
+
+ //Determines what jQuery effect to use
+ switch (self.options.showEffect) {
+
+ //Uses `no effect`
+ case "none":
+
+ elem.show();
+
+ break;
+
+ //Uses the jQuery `show` special effect
+ case "show":
+
+ elem.show(self.options.showEffectSpeed);
+
+ break;
+
+ //Uses the jQuery `slideDown` special effect
+ case "slideDown":
+
+ elem.slideDown(self.options.showEffectSpeed);
+
+ break;
+
+ //Uses the jQuery `fadeIn` special effect
+ case "fadeIn":
+
+ elem.fadeIn(self.options.showEffectSpeed);
+
+ break;
+
+ //If none of the above options were passed, then a `jQueryUI show effect` is expected
+ default:
+
+ elem.show();
+
+ break;
+
+ }
+
+ }
+
+ // If the current subheader parent element is a header
+ if (elem.parent().is(headerClass)) {
+
+ // Hides all non-active sub-headers
+ self.hide($(subheaderClass).not(elem));
+
+ }
+
+ // If the current subheader parent element is not a header
+ else {
+
+ // Hides all non-active sub-headers
+ self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));
+
+ }
+
+ // Maintains chainablity
+ return self;
+
+ },
+
+ // Hide
+ // ----
+ // Closes the current sub-header
+ hide: function(elem) {
+
+ // Stores the plugin context in the `self` variable
+ var self = this;
+
+ //Determines what jQuery effect to use
+ switch (self.options.hideEffect) {
+
+ // Uses `no effect`
+ case "none":
+
+ elem.hide();
+
+ break;
+
+ // Uses the jQuery `hide` special effect
+ case "hide":
+
+ elem.hide(self.options.hideEffectSpeed);
+
+ break;
+
+ // Uses the jQuery `slideUp` special effect
+ case "slideUp":
+
+ elem.slideUp(self.options.hideEffectSpeed);
+
+ break;
+
+ // Uses the jQuery `fadeOut` special effect
+ case "fadeOut":
+
+ elem.fadeOut(self.options.hideEffectSpeed);
+
+ break;
+
+ // If none of the above options were passed, then a `jqueryUI hide effect` is expected
+ default:
+
+ elem.hide();
+
+ break;
+
+ }
+
+ // Maintains chainablity
+ return self;
+ },
+
+ // _triggerShow
+ // ------------
+ // Determines what elements get shown on scroll and click
+ _triggerShow: function(elem, scroll) {
+
+ var self = this;
+
+ // If the current element's parent is a header element or the next element is a nested subheader element
+ if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {
+
+ // Shows the next sub-header element
+ self.show(elem.next(subheaderClass), scroll);
+
+ }
+
+ // If the current element's parent is a subheader element
+ else if (elem.parent().is(subheaderClass)) {
+
+ // Shows the parent sub-header element
+ self.show(elem.parent(), scroll);
+
+ }
+
+ // Maintains chainability
+ return self;
+
+ },
+
+ // _addCSSClasses
+ // --------------
+ // Adds CSS classes to the newly generated table of contents HTML
+ _addCSSClasses: function() {
+
+ // If the user wants a jqueryUI theme
+ if (this.options.theme === "jqueryui") {
+
+ this.focusClass = "ui-state-default";
+
+ this.hoverClass = "ui-state-hover";
+
+ //Adds the default styling to the dropdown list
+ this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");
+
+ }
+
+ // If the user wants a twitterBootstrap theme
+ else if (this.options.theme === "bootstrap") {
+
+ this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");
+
+ this.focusClass = "active";
+
+ }
+
+ // If the user wants a twitterBootstrap theme
+ else if (this.options.theme === "bootstrap3") {
+
+ this.element.find(headerClass + "," + subheaderClass).addClass("list-group");
+
+ this.element.find(itemClass).addClass("list-group-item");
+
+ this.focusClass = "active";
+
+ }
+
+ // If a user does not want a prebuilt theme
+ else {
+
+ // Adds more neutral classes (instead of jqueryui)
+
+ this.focusClass = tocFocusClassName;
+
+ this.hoverClass = tocHoverClassName;
+
+ }
+
+ //Maintains chainability
+ return this;
+
+ },
+
+ // setOption
+ // ---------
+ // Sets a single Tocify option after the plugin is invoked
+ setOption: function() {
+
+ // Calls the jQueryUI Widget Factory setOption method
+ $.Widget.prototype._setOption.apply(this, arguments);
+
+ },
+
+ // setOptions
+ // ----------
+ // Sets a single or multiple Tocify options after the plugin is invoked
+ setOptions: function() {
+
+ // Calls the jQueryUI Widget Factory setOptions method
+ $.Widget.prototype._setOptions.apply(this, arguments);
+
+ },
+
+ // _scrollTo
+ // ---------
+ // Scrolls to a specific element
+ _scrollTo: function(elem) {
+
+ var self = this,
+ duration = self.options.smoothScroll || 0,
+ scrollTo = self.options.scrollTo,
+ currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');
+
+ if (!currentDiv.length) {
+
+ return self;
+
+ }
+
+ // Once all animations on the page are complete, this callback function will be called
+ $("html, body").promise().done(function() {
+
+ // Animates the html and body element scrolltops
+ $("html, body").animate({
+
+ // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
+ "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"
+
+ }, {
+
+ // Sets the smoothScroll animation time duration to the smoothScrollSpeed option
+ "duration": duration
+
+ });
+
+ });
+
+ // Maintains chainability
+ return self;
+
+ }
+
+ });
+
+ })); //end of plugin
+</script>
+<script>
+
+/**
+ * jQuery Plugin: Sticky Tabs
+ *
+ * @author Aidan Lister <aidan@php.net>
+ * adapted by Ruben Arslan to activate parent tabs too
+ * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
+ */
+(function($) {
+ "use strict";
+ $.fn.rmarkdownStickyTabs = function() {
+ var context = this;
+ // Show the tab corresponding with the hash in the URL, or the first tab
+ var showStuffFromHash = function() {
+ var hash = window.location.hash;
+ var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
+ var $selector = $(selector, context);
+ if($selector.data('toggle') === "tab") {
+ $selector.tab('show');
+ // walk up the ancestors of this element, show any hidden tabs
+ $selector.parents('.section.tabset').each(function(i, elm) {
+ var link = $('a[href="#' + $(elm).attr('id') + '"]');
+ if(link.data('toggle') === "tab") {
+ link.tab("show");
+ }
+ });
+ }
+ };
+
+
+ // Set the correct tab when the page loads
+ showStuffFromHash(context);
+
+ // Set the correct tab when a user uses their back/forward button
+ $(window).on('hashchange', function() {
+ showStuffFromHash(context);
+ });
+
+ // Change the URL when tabs are clicked
+ $('a', context).on('click', function(e) {
+ history.pushState(null, null, this.href);
+ showStuffFromHash(context);
+ });
+
+ return this;
+ };
+}(jQuery));
+
+window.buildTabsets = function(tocID) {
+
+ // build a tabset from a section div with the .tabset class
+ function buildTabset(tabset) {
+
+ // check for fade and pills options
+ var fade = tabset.hasClass("tabset-fade");
+ var pills = tabset.hasClass("tabset-pills");
+ var navClass = pills ? "nav-pills" : "nav-tabs";
+
+ // determine the heading level of the tabset and tabs
+ var match = tabset.attr('class').match(/level(\d) /);
+ if (match === null)
+ return;
+ var tabsetLevel = Number(match[1]);
+ var tabLevel = tabsetLevel + 1;
+
+ // find all subheadings immediately below
+ var tabs = tabset.find("div.section.level" + tabLevel);
+ if (!tabs.length)
+ return;
+
+ // create tablist and tab-content elements
+ var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
+ $(tabs[0]).before(tabList);
+ var tabContent = $('<div class="tab-content"></div>');
+ $(tabs[0]).before(tabContent);
+
+ // build the tabset
+ var activeTab = 0;
+ tabs.each(function(i) {
+
+ // get the tab div
+ var tab = $(tabs[i]);
+
+ // get the id then sanitize it for use with bootstrap tabs
+ var id = tab.attr('id');
+
+ // see if this is marked as the active tab
+ if (tab.hasClass('active'))
+ activeTab = i;
+
+ // remove any table of contents entries associated with
+ // this ID (since we'll be removing the heading element)
+ $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
+
+ // sanitize the id for use with bootstrap tabs
+ id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
+ tab.attr('id', id);
+
+ // get the heading element within it, grab it's text, then remove it
+ var heading = tab.find('h' + tabLevel + ':first');
+ var headingText = heading.html();
+ heading.remove();
+
+ // build and append the tab list item
+ var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
+ a.attr('href', '#' + id);
+ a.attr('aria-controls', id);
+ var li = $('<li role="presentation"></li>');
+ li.append(a);
+ tabList.append(li);
+
+ // set it's attributes
+ tab.attr('role', 'tabpanel');
+ tab.addClass('tab-pane');
+ tab.addClass('tabbed-pane');
+ if (fade)
+ tab.addClass('fade');
+
+ // move it into the tab content div
+ tab.detach().appendTo(tabContent);
+ });
+
+ // set active tab
+ $(tabList.children('li')[activeTab]).addClass('active');
+ var active = $(tabContent.children('div.section')[activeTab]);
+ active.addClass('active');
+ if (fade)
+ active.addClass('in');
+
+ if (tabset.hasClass("tabset-sticky"))
+ tabset.rmarkdownStickyTabs();
+ }
+
+ // convert section divs with the .tabset class to tabsets
+ var tabsets = $("div.section.tabset");
+ tabsets.each(function(i) {
+ buildTabset($(tabsets[i]));
+ });
+};
+
+</script>
+<script>
+window.initializeCodeFolding = function(show) {
+
+ // handlers for show-all and hide all
+ $("#rmd-show-all-code").click(function() {
+ $('div.r-code-collapse').each(function() {
+ $(this).collapse('show');
+ });
+ });
+ $("#rmd-hide-all-code").click(function() {
+ $('div.r-code-collapse').each(function() {
+ $(this).collapse('hide');
+ });
+ });
+
+ // index for unique code element ids
+ var currentIndex = 1;
+
+ // select all R code blocks
+ var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia, pre.foldable');
+ rCodeBlocks.each(function() {
+
+ // create a collapsable div to wrap the code in
+ var div = $('<div class="collapse r-code-collapse"></div>');
+ var showThis = (show || $(this).hasClass('fold-show')) && !$(this).hasClass('fold-hide');
+ if (showThis) div.addClass('in');
+ var id = 'rcode-643E0F36' + currentIndex++;
+ div.attr('id', id);
+ $(this).before(div);
+ $(this).detach().appendTo(div);
+
+ // add a show code button right above
+ var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Code') + '</span>');
+ var showCodeButton = $('<button type="button" class="btn btn-default btn-xs code-folding-btn pull-right"></button>');
+ showCodeButton.append(showCodeText);
+ showCodeButton
+ .attr('data-toggle', 'collapse')
+ .attr('data-target', '#' + id)
+ .attr('aria-expanded', showThis)
+ .attr('aria-controls', id);
+
+ var buttonRow = $('<div class="row"></div>');
+ var buttonCol = $('<div class="col-md-12"></div>');
+
+ buttonCol.append(showCodeButton);
+ buttonRow.append(buttonCol);
+
+ div.before(buttonRow);
+
+ // update state of button on show/hide
+ div.on('hidden.bs.collapse', function () {
+ showCodeText.text('Code');
+ });
+ div.on('show.bs.collapse', function () {
+ showCodeText.text('Hide');
+ });
+ });
+
+}
+</script>
+<style type="text/css">.hljs-literal {
+color: #990073;
+}
+.hljs-number {
+color: #099;
+}
+.hljs-comment {
+color: #998;
+font-style: italic;
+}
+.hljs-keyword {
+color: #900;
+font-weight: bold;
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+.hljs-string {
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+</style>
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+
+<h1 class="title toc-ignore">Checking EPC datasets for Southampton</h1>
+<h3 class="subtitle">Data cleaning, outlier checks and coverage analysis</h3>
+<h4 class="author">Ben Anderson</h4>
+<h4 class="date">Last run at: 2020-11-10 17:31:09</h4>
+
+</div>
+
+
+<div id="energy-performance-certificates-epcs" class="section level1">
+<h1><span class="header-section-number">1</span> Energy Performance Certificates (EPCs)</h1>
+<p>Apart from a few exempted buildings, a dwelling must have an EPC when constructed, sold or let. This means that over time we will have an EPC for an increasing number of properties and we should <em>already</em> have EPCs for all rented properties.</p>
+<p>EPCs are not necessarily up to date. For example if a property has not been sold or let since a major upgrade, the effects of that upgrade may not be visible in the data.</p>
+<p>Further reading:</p>
+<ul>
+<li><a href="https://epc.opendatacommunities.org/docs/guidance#technical_notes" class="uri">https://epc.opendatacommunities.org/docs/guidance#technical_notes</a></li>
+<li><a href="https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure" class="uri">https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure</a></li>
+</ul>
+<blockquote>
+<p>check what feeds in automatically e.f. RHI installs etc</p>
+</blockquote>
+<p>We have to assume the data we have is the <em>current state of play</em> for these dwellings.</p>
+</div>
+<div id="data-loading" class="section level1">
+<h1><span class="header-section-number">2</span> Data loading</h1>
+<p>Load the data for the area of interest - in this case the City of Southampton.</p>
+<pre class="r"><code>df <- path.expand("~/data/EW_epc/domestic-E06000045-Southampton/certificates.csv")
+allEPCs_DT <- data.table::fread(df)</code></pre>
+<pre><code>## Warning in require_bit64_if_needed(ans): Some columns are type 'integer64' but package bit64 is not
+## installed. Those columns will print as strange looking floating point data. There is no need to reload
+## the data. Simply install.packages('bit64') to obtain the integer64 print method and print the data
+## again.</code></pre>
+<p>The EPC data file has 91833 records for Southampton and 90 variables. We’re not interested in all of these, we want:</p>
+<ul>
+<li>PROPERTY_TYPE: Describes the type of property such as House, Flat, Maisonette etc. This is the type differentiator for dwellings;</li>
+<li>BUILT_FORM: The building type of the Property e.g. Detached, Semi-Detached, Terrace etc. Together with the Property Type, the Build Form produces a structured description of the property;</li>
+<li>ENVIRONMENT_IMPACT_CURRENT: A measure of the property’s current impact on the environment in terms of carbon dioxide (CO₂) emissions. The higher the rating the lower the CO₂ emissions. (CO₂ emissions in tonnes / year) <strong>NB this is a categorised scale calculated from CO2_EMISSIONS_CURRENT</strong>;</li>
+<li>ENERGY_CONSUMPTION_CURRENT: Current estimated total energy consumption for the property in a 12 month period (<strong>kWh/m2</strong>). Displayed on EPC as the current primary energy use per square metre of floor area. <strong>Nb: this covers heat and hot water (and lightng?)</strong></li>
+<li>CO2_EMISSIONS_CURRENT: COâ‚‚ emissions per year in tonnes/year <strong>NB: this is calculated from the modelled kWh energy input using (possibly) outdated carbon intensity values</strong>;</li>
+<li>TENURE: Describes the tenure type of the property. One of: Owner-occupied; Rented (social); Rented (private).</li>
+</ul>
+<p>We’re also going to keep:</p>
+<ul>
+<li>WIND_TURBINE_COUNT: Number of wind turbines; 0 if none;</li>
+<li>PHOTO_SUPPLY: Percentage of photovoltaic area as a percentage of total roof area. 0% indicates that a Photovoltaic Supply is not present in the property;</li>
+<li>TOTAL_FLOOR_AREA: The total useful floor area is the total of all enclosed spaces measured to the internal face of the external walls, i.e. the gross floor area as measured in accordance with the guidance issued from time to time by the Royal Institute of Chartered Surveyors or by a body replacing that institution. (m²) - to allow for the calculation of total energy demand;</li>
+<li>POSTCODE - to allow linkage to other datasets</li>
+<li>LOCAL_AUTHORITY_LABEL - for checking</li>
+<li>INSPECTION_DATE - so we can select the most receitn</li>
+</ul>
+<p>These may indicate ‘non-grid’ energy inputs.</p>
+<div id="select-most-recent-records" class="section level2">
+<h2><span class="header-section-number">2.1</span> Select most recent records</h2>
+<p>If an EPC has been updated or refreshed, the EPC dataset will hold multiple EPC records for that property (see Table <a href="#tab:plotAllRecords">2.1</a>).</p>
+<pre class="r"><code>ggplot2::ggplot(allEPCs_DT, aes(x = INSPECTION_DATE)) +
+ geom_histogram()</code></pre>
+<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
+<div class="figure"><span id="fig:plotAllRecords"></span>
+<img src="data:image/png;base64,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" alt="All records: Inspection date" width="672" />
+<p class="caption">
+Figure 2.1: All records: Inspection date
+</p>
+</div>
+<pre class="r"><code>t <- allEPCs_DT[, .(nRecords = .N,
+ firstDate = min(INSPECTION_DATE),
+ lastDate = max(INSPECTION_DATE)), keyby = .(BUILDING_REFERENCE_NUMBER)]
+
+kableExtra::kable(head(t[nRecords > 1]), cap = "Examples of multiple records")</code></pre>
+<table>
+<caption>
+<span id="tab:plotAllRecords">Table 2.1: </span>Examples of multiple records
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+BUILDING_REFERENCE_NUMBER
+</th>
+<th style="text-align:right;">
+nRecords
+</th>
+<th style="text-align:left;">
+firstDate
+</th>
+<th style="text-align:left;">
+lastDate
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:left;">
+2012-10-09
+</td>
+<td style="text-align:left;">
+2014-03-13
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2009-05-19
+</td>
+<td style="text-align:left;">
+2018-02-16
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2013-02-14
+</td>
+<td style="text-align:left;">
+2013-11-25
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2009-01-28
+</td>
+<td style="text-align:left;">
+2019-01-08
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2009-03-06
+</td>
+<td style="text-align:left;">
+2019-05-08
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2009-06-12
+</td>
+<td style="text-align:left;">
+2015-12-09
+</td>
+</tr>
+</tbody>
+</table>
+<p>Figure <a href="#fig:plotAllRecords">2.1</a> shows the inspection date of all EPC records. We want to just select the most recent as we are not currently interested in change over time.</p>
+<pre class="r"><code># select just these vars
+dt <- allEPCs_DT[, .(BUILDING_REFERENCE_NUMBER, LMK_KEY, LODGEMENT_DATE,INSPECTION_DATE, PROPERTY_TYPE, BUILT_FORM,
+ ENVIRONMENT_IMPACT_CURRENT, ENERGY_CONSUMPTION_CURRENT, CO2_EMISSIONS_CURRENT, TENURE,
+ PHOTO_SUPPLY, WIND_TURBINE_COUNT, TOTAL_FLOOR_AREA,
+ POSTCODE, LOCAL_AUTHORITY_LABEL)]
+
+# select most recent record within BUILDING_REFERENCE_NUMBER - how?
+# better check this is doing so
+setkey(dt,BUILDING_REFERENCE_NUMBER, INSPECTION_DATE) # sort by date within reference number
+sotonUniqueEPCsDT <- unique(dt, by = "BUILDING_REFERENCE_NUMBER",
+ fromLast = TRUE) # which one does it take?
+
+t <- sotonUniqueEPCsDT[, .(nRecords = .N,
+ firstDate = min(INSPECTION_DATE),
+ lastDate = max(INSPECTION_DATE)), keyby = .(BUILDING_REFERENCE_NUMBER)]
+
+t[, diff := firstDate - lastDate] # should be 0
+
+message("Check difference between min & max dates per record - should be 0")</code></pre>
+<pre><code>## Check difference between min & max dates per record - should be 0</code></pre>
+<pre class="r"><code>summary(t$diff)</code></pre>
+<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
+## 0 0 0 0 0 0</code></pre>
+<pre class="r"><code>uniqueN(sotonUniqueEPCsDT$BUILDING_REFERENCE_NUMBER)</code></pre>
+<pre><code>## [1] 71600</code></pre>
+<p>This leaves us with 71,600 cases and Figure <a href="#fig:plotLatestRecords">2.2</a> shows the inspection date of the most recent records once we have selected them.</p>
+<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = INSPECTION_DATE)) +
+ geom_histogram()</code></pre>
+<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
+<div class="figure"><span id="fig:plotLatestRecords"></span>
+<img src="data:image/png;base64,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" alt="Latest records: Inspection date" width="672" />
+<p class="caption">
+Figure 2.2: Latest records: Inspection date
+</p>
+</div>
+</div>
+<div id="descriptives" class="section level2">
+<h2><span class="header-section-number">2.2</span> Descriptives</h2>
+<p>Now check the distributions of the retained variables.</p>
+<pre class="r"><code>skimr::skim(sotonUniqueEPCsDT)</code></pre>
+<pre><code>## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling back to
+## `character`.</code></pre>
+<table style="width: auto;" class="table table-condensed">
+<caption>
+<span id="tab:testUniqueLatest">Table 2.2: </span>Data summary
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:left;">
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Name
+</td>
+<td style="text-align:left;">
+sotonUniqueEPCsDT
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Number of rows
+</td>
+<td style="text-align:left;">
+71600
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Number of columns
+</td>
+<td style="text-align:left;">
+15
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+_______________________
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Column type frequency:
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+character
+</td>
+<td style="text-align:left;">
+7
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Date
+</td>
+<td style="text-align:left;">
+2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+numeric
+</td>
+<td style="text-align:left;">
+6
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+________________________
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Group variables
+</td>
+<td style="text-align:left;">
+None
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: character</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:right;">
+min
+</th>
+<th style="text-align:right;">
+max
+</th>
+<th style="text-align:right;">
+empty
+</th>
+<th style="text-align:right;">
+n_unique
+</th>
+<th style="text-align:right;">
+whitespace
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+BUILDING_REFERENCE_NUMBER
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+17
+</td>
+<td style="text-align:right;">
+21
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71600
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+LMK_KEY
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+29
+</td>
+<td style="text-align:right;">
+34
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71600
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+PROPERTY_TYPE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+4
+</td>
+<td style="text-align:right;">
+10
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+5
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+BUILT_FORM
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+20
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+7
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+TENURE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+16
+</td>
+<td style="text-align:right;">
+1986
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+POSTCODE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+5107
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+LOCAL_AUTHORITY_LABEL
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+11
+</td>
+<td style="text-align:right;">
+11
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: Date</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:left;">
+min
+</th>
+<th style="text-align:left;">
+max
+</th>
+<th style="text-align:left;">
+median
+</th>
+<th style="text-align:right;">
+n_unique
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+LODGEMENT_DATE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+2008-10-01
+</td>
+<td style="text-align:left;">
+2020-06-30
+</td>
+<td style="text-align:left;">
+2014-10-20
+</td>
+<td style="text-align:right;">
+4132
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+INSPECTION_DATE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+2007-03-02
+</td>
+<td style="text-align:left;">
+2020-06-30
+</td>
+<td style="text-align:left;">
+2014-10-10
+</td>
+<td style="text-align:right;">
+3907
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: numeric</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:right;">
+mean
+</th>
+<th style="text-align:right;">
+sd
+</th>
+<th style="text-align:right;">
+p0
+</th>
+<th style="text-align:right;">
+p25
+</th>
+<th style="text-align:right;">
+p50
+</th>
+<th style="text-align:right;">
+p75
+</th>
+<th style="text-align:right;">
+p100
+</th>
+<th style="text-align:left;">
+hist
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+ENVIRONMENT_IMPACT_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+62.55
+</td>
+<td style="text-align:right;">
+15.75
+</td>
+<td style="text-align:right;">
+1.0
+</td>
+<td style="text-align:right;">
+52.0
+</td>
+<td style="text-align:right;">
+63.0
+</td>
+<td style="text-align:right;">
+73
+</td>
+<td style="text-align:right;">
+115.00
+</td>
+<td style="text-align:left;">
+â–▂▇▅â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+ENERGY_CONSUMPTION_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+262.97
+</td>
+<td style="text-align:right;">
+140.59
+</td>
+<td style="text-align:right;">
+-184.0
+</td>
+<td style="text-align:right;">
+173.0
+</td>
+<td style="text-align:right;">
+233.0
+</td>
+<td style="text-align:right;">
+327
+</td>
+<td style="text-align:right;">
+1597.00
+</td>
+<td style="text-align:left;">
+▃▇â–â–â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+CO2_EMISSIONS_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+3.16
+</td>
+<td style="text-align:right;">
+1.94
+</td>
+<td style="text-align:right;">
+-1.8
+</td>
+<td style="text-align:right;">
+1.8
+</td>
+<td style="text-align:right;">
+2.8
+</td>
+<td style="text-align:right;">
+4
+</td>
+<td style="text-align:right;">
+77.00
+</td>
+<td style="text-align:left;">
+â–‡â–â–â–â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+PHOTO_SUPPLY
+</td>
+<td style="text-align:right;">
+38590
+</td>
+<td style="text-align:right;">
+0.46
+</td>
+<td style="text-align:right;">
+0.59
+</td>
+<td style="text-align:right;">
+5.11
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+100.00
+</td>
+<td style="text-align:left;">
+â–‡â–â–â–â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+WIND_TURBINE_COUNT
+</td>
+<td style="text-align:right;">
+5555
+</td>
+<td style="text-align:right;">
+0.92
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.03
+</td>
+<td style="text-align:right;">
+-1.0
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:left;">
+â–â–â–‡â–â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+TOTAL_FLOOR_AREA
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+72.98
+</td>
+<td style="text-align:right;">
+34.91
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+49.0
+</td>
+<td style="text-align:right;">
+69.0
+</td>
+<td style="text-align:right;">
+87
+</td>
+<td style="text-align:right;">
+1353.68
+</td>
+<td style="text-align:left;">
+â–‡â–â–â–â–
+</td>
+</tr>
+</tbody>
+</table>
+<p>As we can see that we have 71600 unique property reference numbers. We can also see some strangeness. In some cases we seem to have:</p>
+<ul>
+<li>negative energy consumption;</li>
+<li>negative emissions;</li>
+<li>0 floor area</li>
+</ul>
+<p>This is not surprising since the kWh/y and TCO2/y values are estimated using a model but before we go any further we’d better check if these are significant in number.</p>
+</div>
+</div>
+<div id="epc-data-checks" class="section level1">
+<h1><span class="header-section-number">3</span> EPC data checks</h1>
+<div id="check-energy_consumption_current" class="section level2">
+<h2><span class="header-section-number">3.1</span> Check ENERGY_CONSUMPTION_CURRENT</h2>
+<p>We recode the current energy consumption into categories for comparison with other low values and the presence of wind turbines/PV. We use -ve, 0 and 1 kWh as the thresholds of interest.</p>
+<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = ENERGY_CONSUMPTION_CURRENT)) +
+ geom_histogram(binwidth = 5) +
+ facet_wrap(~TENURE) +
+ geom_vline(xintercept = 0)</code></pre>
+<div class="figure"><span id="fig:checkEnergy"></span>
+<img 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" alt="Histogram of ENERGY_CONSUMPTION_CURRENT" width="672" />
+<p class="caption">
+Figure 3.1: Histogram of ENERGY_CONSUMPTION_CURRENT
+</p>
+</div>
+<pre class="r"><code>underZero <- nrow(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0])
+
+t <- with(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0],
+ table(BUILT_FORM,TENURE))
+
+
+kableExtra::kable(t, caption = "Properties with ENERGY_CONSUMPTION_CURRENT < 0")</code></pre>
+<table>
+<caption>
+<span id="tab:checkEnergy">Table 3.1: </span>Properties with ENERGY_CONSUMPTION_CURRENT < 0
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:right;">
+</th>
+<th style="text-align:right;">
+owner-occupied
+</th>
+<th style="text-align:right;">
+rental (social)
+</th>
+<th style="text-align:right;">
+unknown
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Detached
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+End-Terrace
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Mid-Terrace
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+NO DATA!
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Semi-Detached
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code># do we think this is caused by solar/wind?
+sotonUniqueEPCsDT[, hasWind := ifelse(WIND_TURBINE_COUNT > 0, "Yes", "No")]
+#table(sotonUniqueEPCsDT$hasWind)
+sotonUniqueEPCsDT[, hasPV := ifelse(PHOTO_SUPPLY >0, "Yes", "No")]
+#table(sotonUniqueEPCsDT$hasPV)
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT < 0, "-ve kWh/y", NA)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT == 0, "0 kWh/y", consFlag)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 0 &
+ ENERGY_CONSUMPTION_CURRENT <= 1, "0-1 kWh/y", consFlag)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 1, "1+ kWh/y", consFlag)]
+
+t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(consFlag, hasWind, hasPV)]
+
+kableExtra::kable(t, caption = "Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration")</code></pre>
+<table>
+<caption>
+<span id="tab:checkEnergy">Table 3.1: </span>Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+consFlag
+</th>
+<th style="text-align:left;">
+hasWind
+</th>
+<th style="text-align:left;">
+hasPV
+</th>
+<th style="text-align:right;">
+nObs
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+-ve kWh/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+5
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+-ve kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+15
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 kWh/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+5549
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+33014
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+32534
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:right;">
+447
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+6
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+28
+</td>
+</tr>
+</tbody>
+</table>
+<p>There are only 20 dwellings where ENERGY_CONSUMPTION_CURRENT < 0 and none of them seem to have PV or a wind turbine so we can probably ignore them.</p>
+<pre class="r"><code># repeat with a density plot to allow easy overlap
+# exclude those with no data
+ggplot2::ggplot(sotonUniqueEPCsDT[TENURE != "NO DATA!" &
+ TENURE != "unknown" &
+ TENURE != ""], aes(x = ENERGY_CONSUMPTION_CURRENT,
+ fill = TENURE, alpha = 0.2)) +
+ geom_density() +
+ facet_wrap(~BUILT_FORM) +
+ guides(alpha = FALSE) +
+ theme(legend.position = "bottom")</code></pre>
+<div class="figure"><span id="fig:energyTenure"></span>
+<img src="data:image/png;base64,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" alt="Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form" width="672" />
+<p class="caption">
+Figure 3.2: Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form
+</p>
+</div>
+</div>
+<div id="check-co2_emissions_current" class="section level2">
+<h2><span class="header-section-number">3.2</span> Check CO2_EMISSIONS_CURRENT</h2>
+<p>Next we do the same for current emissions. Repeat the coding for total floor area using 0 and 1 TCO2/y as the threshold of interest.</p>
+<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = CO2_EMISSIONS_CURRENT)) +
+ geom_histogram(binwidth = 1)</code></pre>
+<div class="figure"><span id="fig:checkEmissions"></span>
+<img 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" alt="Histogram of CO2_EMISSIONS_CURRENT" width="672" />
+<p class="caption">
+Figure 3.3: Histogram of CO2_EMISSIONS_CURRENT
+</p>
+</div>
+<pre class="r"><code>nZeroEmissions <- nrow(sotonUniqueEPCsDT[CO2_EMISSIONS_CURRENT < 0])
+
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT < 0, "-ve CO2/y", NA)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT == 0, "0 CO2/y", emissionsFlag)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 0 &
+ CO2_EMISSIONS_CURRENT <= 1, "0-1 TCO2/y", emissionsFlag)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 1, "1+ TCO2/y", emissionsFlag)]
+
+t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(emissionsFlag, hasWind, hasPV)]
+
+kableExtra::kable(t, caption = "Properties with CO2_EMISSIONS_CURRENT < 0 by presence of microgeneration")</code></pre>
+<table>
+<caption>
+<span id="tab:checkEmissions">Table 3.2: </span>Properties with CO2_EMISSIONS_CURRENT < 0 by presence of microgeneration
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+emissionsFlag
+</th>
+<th style="text-align:left;">
+hasWind
+</th>
+<th style="text-align:left;">
+hasPV
+</th>
+<th style="text-align:right;">
+nObs
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+-ve CO2/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+4
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+-ve CO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+16
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+-ve CO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 CO2/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+5
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 CO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+3445
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+1941
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+532
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:right;">
+19
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+2101
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+31072
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+32000
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:right;">
+428
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+5
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+27
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>kableExtra::kable(round(100*(prop.table(table(sotonUniqueEPCsDT$emissionsFlag,
+ sotonUniqueEPCsDT$consFlag,
+ useNA = "always")
+ )
+ )
+ ,2)
+ , caption = "% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories")</code></pre>
+<table>
+<caption>
+<span id="tab:checkEmissions">Table 3.2: </span>% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:right;">
+-ve kWh/y
+</th>
+<th style="text-align:right;">
+0 kWh/y
+</th>
+<th style="text-align:right;">
+1+ kWh/y
+</th>
+<th style="text-align:right;">
+NA
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+-ve CO2/y
+</td>
+<td style="text-align:right;">
+0.03
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 CO2/y
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+8.29
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+91.67
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+</tbody>
+</table>
+<p>There are 22 properties with 0 or negative emissions. It looks like they are also the properties with -ve kWh as we might expect. So we can safely ignore them.</p>
+</div>
+<div id="check-environment_impact_current" class="section level2">
+<h2><span class="header-section-number">3.3</span> Check ENVIRONMENT_IMPACT_CURRENT</h2>
+<p><code>Environmental impact</code> should decrease as emissions increase.</p>
+<pre class="r"><code>ggplot2::ggplot(allEPCs_DT, aes(x = ENVIRONMENT_IMPACT_CURRENT)) +
+ geom_histogram()</code></pre>
+<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
+<div class="figure"><span id="fig:checkImpact"></span>
+<img src="data:image/png;base64,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" alt="Histogram of ENVIRONMENT_IMPACT_CURRENT" width="672" />
+<p class="caption">
+Figure 3.4: Histogram of ENVIRONMENT_IMPACT_CURRENT
+</p>
+</div>
+<p>So what is the relationship between ENVIRONMENT_IMPACT_CURRENT and CO2_EMISSIONS_CURRENT? It is not linear… (Figure <a href="#fig:checkEmissionsImpact">3.5</a>) and there are some interesting outliers.</p>
+<pre class="r"><code>ggplot2::ggplot(allEPCs_DT, aes(x = CO2_EMISSIONS_CURRENT,
+ y = ENVIRONMENT_IMPACT_CURRENT,
+ colour = TENURE)) +
+ geom_point() +
+ facet_wrap(TENURE~.) +
+ theme(legend.position = "bottom")</code></pre>
+<div class="figure"><span id="fig:checkEmissionsImpact"></span>
+<img 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" alt="Plot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT" width="672" />
+<p class="caption">
+Figure 3.5: Plot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT
+</p>
+</div>
+</div>
+<div id="check-total_floor_area" class="section level2">
+<h2><span class="header-section-number">3.4</span> Check TOTAL_FLOOR_AREA</h2>
+<p>Repeat the coding for total floor area using 5 m2 as the threshold of interest.</p>
+<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = TOTAL_FLOOR_AREA)) +
+ geom_histogram(binwidth = 1)</code></pre>
+<div class="figure"><span id="fig:checkFloorArea"></span>
+<img 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" alt="Histogram of TOTAL_FLOOR_AREA" width="672" />
+<p class="caption">
+Figure 3.6: Histogram of TOTAL_FLOOR_AREA
+</p>
+</div>
+<pre class="r"><code>nZeroFloorArea <- nrow(sotonUniqueEPCsDT[TOTAL_FLOOR_AREA < 0])
+
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA == 0, "0 m2", NA)]
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 0 &
+ TOTAL_FLOOR_AREA <= 10, "0-5 m2", floorFlag)]
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 10, "5+ m2", floorFlag)]
+
+t <- with(sotonUniqueEPCsDT, table(floorFlag, consFlag))
+
+kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")</code></pre>
+<table>
+<caption>
+<span id="tab:checkFloorArea">Table 3.3: </span>% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:right;">
+-ve kWh/y
+</th>
+<th style="text-align:right;">
+0 kWh/y
+</th>
+<th style="text-align:right;">
+1+ kWh/y
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+0 m2
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.10
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-5 m2
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.02
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+5+ m2
+</td>
+<td style="text-align:right;">
+0.03
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+99.86
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
+ ENERGY_CONSUMPTION_CURRENT)][order(-TOTAL_FLOOR_AREA)], 10),
+ caption = "Top 10 by floor area (largest)")</code></pre>
+<table>
+<caption>
+<span id="tab:checkFloorArea">Table 3.3: </span>Top 10 by floor area (largest)
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+BUILDING_REFERENCE_NUMBER
+</th>
+<th style="text-align:left;">
+PROPERTY_TYPE
+</th>
+<th style="text-align:right;">
+TOTAL_FLOOR_AREA
+</th>
+<th style="text-align:right;">
+ENERGY_CONSUMPTION_CURRENT
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+4.697565e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+1353.680
+</td>
+<td style="text-align:right;">
+140
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1.894551e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+1123.000
+</td>
+<td style="text-align:right;">
+120
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.846111e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+973.210
+</td>
+<td style="text-align:right;">
+522
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+2.559778e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+861.360
+</td>
+<td style="text-align:right;">
+279
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+8.172097e-315
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+855.000
+</td>
+<td style="text-align:right;">
+170
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.440838e-315
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+846.421
+</td>
+<td style="text-align:right;">
+161
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.076249e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+800.000
+</td>
+<td style="text-align:right;">
+185
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1.933817e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+796.000
+</td>
+<td style="text-align:right;">
+216
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1.280057e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+714.000
+</td>
+<td style="text-align:right;">
+224
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+2.444460e-314
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+694.000
+</td>
+<td style="text-align:right;">
+88
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
+ ENERGY_CONSUMPTION_CURRENT)][order(TOTAL_FLOOR_AREA)], 10),
+ caption = "Bottom 10 by floor area (smallest)")</code></pre>
+<table>
+<caption>
+<span id="tab:checkFloorArea">Table 3.3: </span>Bottom 10 by floor area (smallest)
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+BUILDING_REFERENCE_NUMBER
+</th>
+<th style="text-align:left;">
+PROPERTY_TYPE
+</th>
+<th style="text-align:right;">
+TOTAL_FLOOR_AREA
+</th>
+<th style="text-align:right;">
+ENERGY_CONSUMPTION_CURRENT
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+9.111592e-316
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+104
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+3.102124e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+58
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+3.294384e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+110
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+3.695003e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+70
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.369619e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+119
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.371685e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+7.302298e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+115
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+9.515727e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+144
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+9.562249e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+103
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1.059979e-314
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+117
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")</code></pre>
+<table>
+<caption>
+<span id="tab:checkFloorArea">Table 3.3: </span>% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:right;">
+-ve kWh/y
+</th>
+<th style="text-align:right;">
+0 kWh/y
+</th>
+<th style="text-align:right;">
+1+ kWh/y
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+0 m2
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.10
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-5 m2
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.02
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+5+ m2
+</td>
+<td style="text-align:right;">
+0.03
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+99.86
+</td>
+</tr>
+</tbody>
+</table>
+<p>Table <a href="#tab:checkEmissions">3.2</a> shows that the properties with floor area of < 10m2 are not necessarily the ones with 0 or negative kWh values. Nevertheless they represent a small proportion of all properties.</p>
+<p>The scale of the x axis also suggests a few very large properties.</p>
+</div>
+<div id="data-summary" class="section level2">
+<h2><span class="header-section-number">3.5</span> Data summary</h2>
+<p>We have identified some issues with a small number of the properties in the EPC dataset. These are not unexpected given that much of the estimates rely on partial or presumed data. Data entry errors are also quite likely. As a result we exclude:</p>
+<ul>
+<li>any property where ENERGY_CONSUMPTION_CURRENT <= 0</li>
+<li>any property where TOTAL_FLOOR_AREA <= 5</li>
+<li>any property where CO2_EMISSIONS_CURRENT <= 0</li>
+</ul>
+<pre class="r"><code>finalEPCDT <- sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT > 0 &
+ TOTAL_FLOOR_AREA > 5 &
+ CO2_EMISSIONS_CURRENT > 0]
+
+skimr::skim(finalEPCDT)</code></pre>
+<pre><code>## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling back to
+## `character`.</code></pre>
+<table style="width: auto;" class="table table-condensed">
+<caption>
+<span id="tab:finalData">Table 3.4: </span>Data summary
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:left;">
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Name
+</td>
+<td style="text-align:left;">
+finalEPCDT
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Number of rows
+</td>
+<td style="text-align:left;">
+71502
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Number of columns
+</td>
+<td style="text-align:left;">
+20
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+_______________________
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Column type frequency:
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+character
+</td>
+<td style="text-align:left;">
+12
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Date
+</td>
+<td style="text-align:left;">
+2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+numeric
+</td>
+<td style="text-align:left;">
+6
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+________________________
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Group variables
+</td>
+<td style="text-align:left;">
+None
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: character</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:right;">
+min
+</th>
+<th style="text-align:right;">
+max
+</th>
+<th style="text-align:right;">
+empty
+</th>
+<th style="text-align:right;">
+n_unique
+</th>
+<th style="text-align:right;">
+whitespace
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+BUILDING_REFERENCE_NUMBER
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+17
+</td>
+<td style="text-align:right;">
+21
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71502
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+LMK_KEY
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+29
+</td>
+<td style="text-align:right;">
+34
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71502
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+PROPERTY_TYPE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+4
+</td>
+<td style="text-align:right;">
+10
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+5
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+BUILT_FORM
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+20
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+7
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+TENURE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+16
+</td>
+<td style="text-align:right;">
+1905
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+POSTCODE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+5105
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+LOCAL_AUTHORITY_LABEL
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+11
+</td>
+<td style="text-align:right;">
+11
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+hasWind
+</td>
+<td style="text-align:right;">
+5546
+</td>
+<td style="text-align:right;">
+0.92
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+hasPV
+</td>
+<td style="text-align:right;">
+38495
+</td>
+<td style="text-align:right;">
+0.46
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+consFlag
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+emissionsFlag
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+9
+</td>
+<td style="text-align:right;">
+10
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+floorFlag
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+5
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: Date</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:left;">
+min
+</th>
+<th style="text-align:left;">
+max
+</th>
+<th style="text-align:left;">
+median
+</th>
+<th style="text-align:right;">
+n_unique
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+LODGEMENT_DATE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+2008-10-01
+</td>
+<td style="text-align:left;">
+2020-06-30
+</td>
+<td style="text-align:left;">
+2014-10-22
+</td>
+<td style="text-align:right;">
+4132
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+INSPECTION_DATE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+2007-03-02
+</td>
+<td style="text-align:left;">
+2020-06-30
+</td>
+<td style="text-align:left;">
+2014-10-14
+</td>
+<td style="text-align:right;">
+3906
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: numeric</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:right;">
+mean
+</th>
+<th style="text-align:right;">
+sd
+</th>
+<th style="text-align:right;">
+p0
+</th>
+<th style="text-align:right;">
+p25
+</th>
+<th style="text-align:right;">
+p50
+</th>
+<th style="text-align:right;">
+p75
+</th>
+<th style="text-align:right;">
+p100
+</th>
+<th style="text-align:left;">
+hist
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+ENVIRONMENT_IMPACT_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+62.51
+</td>
+<td style="text-align:right;">
+15.72
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+52.0
+</td>
+<td style="text-align:right;">
+63.00
+</td>
+<td style="text-align:right;">
+73
+</td>
+<td style="text-align:right;">
+100.00
+</td>
+<td style="text-align:left;">
+â–▂▆▇▂
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+ENERGY_CONSUMPTION_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+263.23
+</td>
+<td style="text-align:right;">
+140.47
+</td>
+<td style="text-align:right;">
+4.00
+</td>
+<td style="text-align:right;">
+174.0
+</td>
+<td style="text-align:right;">
+233.00
+</td>
+<td style="text-align:right;">
+327
+</td>
+<td style="text-align:right;">
+1597.00
+</td>
+<td style="text-align:left;">
+▇▂â–â–â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+CO2_EMISSIONS_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+3.17
+</td>
+<td style="text-align:right;">
+1.94
+</td>
+<td style="text-align:right;">
+0.10
+</td>
+<td style="text-align:right;">
+1.8
+</td>
+<td style="text-align:right;">
+2.85
+</td>
+<td style="text-align:right;">
+4
+</td>
+<td style="text-align:right;">
+77.00
+</td>
+<td style="text-align:left;">
+â–‡â–â–â–â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+PHOTO_SUPPLY
+</td>
+<td style="text-align:right;">
+38495
+</td>
+<td style="text-align:right;">
+0.46
+</td>
+<td style="text-align:right;">
+0.59
+</td>
+<td style="text-align:right;">
+5.11
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+100.00
+</td>
+<td style="text-align:left;">
+â–‡â–â–â–â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+WIND_TURBINE_COUNT
+</td>
+<td style="text-align:right;">
+5546
+</td>
+<td style="text-align:right;">
+0.92
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.02
+</td>
+<td style="text-align:right;">
+-1.00
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:left;">
+â–â–â–‡â–â–
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+TOTAL_FLOOR_AREA
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+73.05
+</td>
+<td style="text-align:right;">
+34.86
+</td>
+<td style="text-align:right;">
+5.85
+</td>
+<td style="text-align:right;">
+49.0
+</td>
+<td style="text-align:right;">
+69.00
+</td>
+<td style="text-align:right;">
+87
+</td>
+<td style="text-align:right;">
+1353.68
+</td>
+<td style="text-align:left;">
+â–‡â–â–â–â–
+</td>
+</tr>
+</tbody>
+</table>
+<p>This leaves us with a total of 71,502 properties.</p>
+<pre class="r"><code>of <- path.expand("~/data/EW_epc/domestic-E06000045-Southampton/finalClean.csv")
+data.table::fwrite(finalEPCDT, file = of)
+
+message("Gziping ", of)</code></pre>
+<pre><code>## Gziping /Users/ben/data/EW_epc/domestic-E06000045-Southampton/finalClean.csv</code></pre>
+<pre class="r"><code># Gzip it
+# in case it fails (it will on windows - you will be left with a .csv file)
+try(system( paste0("gzip -f '", of,"'"))) # include ' or it breaks on spaces
+message("Gzipped ", of)</code></pre>
+<pre><code>## Gzipped /Users/ben/data/EW_epc/domestic-E06000045-Southampton/finalClean.csv</code></pre>
+</div>
+</div>
+<div id="check-missing-epc-rates" class="section level1">
+<h1><span class="header-section-number">4</span> Check ‘missing’ EPC rates</h1>
+<p>We know that we do not have EPC records for every dwelling. But how many are we missing? We will check this at MSOA level as it allows us to link to other MSOA level datasets that tell us how many households, dwellings or energy meters to expect. Arguably it would be better to do this at LSOA level but…</p>
+<p>First we’ll use the BEIS 2018 MSOA level annual electricity data to estimate the number of meters (not properties) - some addresses can have 2 meters (e.g. standard & economy 7). This is more useful than the number of gas meters since not all dwellings have mains gas but all have an electricity meter.</p>
+<pre class="r"><code>beisElecDT <- data.table::fread("~/data/beis/MSOA_DOM_ELEC_csv/MSOA_ELEC_2018.csv")
+sotonElecDT <- beisElecDT[LAName %like% "Southampton", .(nElecMeters = METERS,
+ beisElecMWh = KWH/1000,
+ MSOACode, LAName)
+ ]
+
+
+beisGasDT <- data.table::fread("~/data/beis/MSOA_DOM_GAS_csv/MSOA_GAS_2018.csv")
+sotonGasDT <- beisGasDT[LAName %like% "Southampton", .(nGasMeters = METERS,
+ beisGasMWh = KWH/1000,
+ MSOACode)]
+
+setkey(sotonElecDT, MSOACode)
+setkey(sotonGasDT, MSOACode)
+sotonEnergyDT <- sotonGasDT[sotonElecDT]
+sotonEnergyDT[, beisEnergyMWh := beisElecMWh + beisGasMWh]
+#head(sotonEnergyDT)</code></pre>
+<p>Next we’ll check for the number of households reported by the 2011 Census.</p>
+<blockquote>
+<p>would be better to use dwellings but this gives us tenure</p>
+</blockquote>
+<pre class="r"><code>#censusDT <- data.table::fread(path.expand("~/data/"))
+# IMD ----
+deprivationDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_deprivation.csv"))
+deprivationDT[, totalHouseholds := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+deprivationDT[, MSOACode := `geography code`]
+setkey(deprivationDT, MSOACode)
+setkey(sotonElecDT, MSOACode)
+# link LA name from Soton elec for now
+sotonDep_DT <- deprivationDT[sotonElecDT[, .(MSOACode, LAName)]]
+sotonDep_DT[, nHHs_deprivation := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+
+#sotonDep_DT[, .(nHouseholds = sum(totalHouseholds)), keyby = .(LAName)]
+
+# census tenure ----
+sotonTenureDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_householdTenure_Soton.csv"))
+
+sotonTenureDT[, census2011_socialRent := `Tenure: Social rented; measures: Value`]
+sotonTenureDT[, census2011_privateRent := `Tenure: Private rented; measures: Value`]
+sotonTenureDT[, census2011_ownerOccupy := `Tenure: Owned; measures: Value`]
+sotonTenureDT[, census2011_other := `Tenure: Living rent free; measures: Value`]
+sotonTenureDT[, MSOACode := `geography code`]
+
+sotonTenureDT[, hhCheck := census2011_socialRent + census2011_privateRent + census2011_ownerOccupy + census2011_other]
+sotonTenureDT[, nHHs_tenure := `Tenure: All households; measures: Value`]
+
+# summary(sotonTenureDT[, .(hhCheck, nHHs_tenure)])
+# might not quite match due to cell perturbation etc?
+
+# join em ----
+setkey(sotonDep_DT, MSOACode)
+setkey(sotonTenureDT, MSOACode)
+
+sotonCensus2011_DT <- sotonTenureDT[sotonDep_DT]
+
+t <- sotonCensus2011_DT[, .(sum_Deprivation = sum(nHHs_deprivation),
+ sum_Tenure = sum(nHHs_tenure)), keyby = .(LAName)]
+kableExtra::kable(t, caption = "Census derived household counts")</code></pre>
+<table>
+<caption>
+<span id="tab:checkCensus">Table 4.1: </span>Census derived household counts
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+LAName
+</th>
+<th style="text-align:right;">
+sum_Deprivation
+</th>
+<th style="text-align:right;">
+sum_Tenure
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Southampton
+</td>
+<td style="text-align:right;">
+98254
+</td>
+<td style="text-align:right;">
+98254
+</td>
+</tr>
+</tbody>
+</table>
+<p>That’s lower (as expected) but doesn’t allow for dwellings that were empty on census night.</p>
+<pre class="r"><code># Postcodes don't help - no count of addresses in the data (there used to be??)
+# but we can use it to check which Soton postcodes are missing from the EPC file
+soPostcodesDT <- data.table::fread(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Data/multi_csv/NSPL_AUG_2020_UK_SO.csv"))
+
+soPostcodesDT <- soPostcodesDT[is.na(doterm)] # keep current
+
+sotonPostcodesDT <- soPostcodesDT[laua == "E06000045"] # keep Southampton City
+
+sotonPostcodesReducedDT <- sotonPostcodesDT[, .(pcd, pcd2, pcds, laua, msoa11, lsoa11)]
+
+sotonPostcodesReducedDT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(pcds,
+ split = " "
+ )
+ ]
+sotonPostcodesReducedDT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
+<pre><code>## pc_chunk1 nEPCs
+## 1: SO14 849
+## 2: SO15 1176
+## 3: SO16 1328
+## 4: SO17 443
+## 5: SO18 859
+## 6: SO19 1164</code></pre>
+<p>We should not have single digit postcodes in the postcode data - i.e. S01 should not be there (since 1993). Southampton City is unusual in only having <a href="https://en.wikipedia.org/wiki/SO_postcode_area">double digit postcodes</a>.</p>
+<pre class="r"><code># EPC
+# set up counters
+# use final cleaned EPC data
+finalEPCDT[, epcIsSocialRent := ifelse(TENURE == "rental (social)", 1, 0)]
+finalEPCDT[, epcIsPrivateRent := ifelse(TENURE == "rental (private)", 1, 0)]
+finalEPCDT[, epcIsOwnerOcc := ifelse(TENURE == "owner-occupied", 1, 0)]
+finalEPCDT[, epcIsUnknownTenure := ifelse(TENURE == "NO DATA!" |
+ TENURE == "" , 1, 0)]
+# aggregate EPCs to postcodes
+sotonEpcPostcodes_DT <- finalEPCDT[, .(nEPCs = .N,
+ sumEPC_tCO2 = sum(CO2_EMISSIONS_CURRENT, na.rm = TRUE),
+ n_epcIsSocialRent = sum(epcIsSocialRent, na.rm = TRUE),
+ n_epcIsPrivateRent = sum(epcIsPrivateRent, na.rm = TRUE),
+ n_epcIsOwnerOcc = sum(epcIsOwnerOcc, na.rm = TRUE),
+ n_epcIsUnknownTenure = sum(epcIsUnknownTenure, na.rm = TRUE),
+ sumEpcMWh = sum(ENERGY_CONSUMPTION_CURRENT* TOTAL_FLOOR_AREA)/1000), # crucial as ENERGY_CONSUMPTION_CURRENT = kWh/m2
+ keyby = .(POSTCODE, LOCAL_AUTHORITY_LABEL)]
+
+sotonEpcPostcodes_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE,
+ split = " "
+ )
+ ]
+sotonEpcPostcodes_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
+<pre><code>## pc_chunk1 nEPCs
+## 1: SO14 601
+## 2: SO15 960
+## 3: SO16 1244
+## 4: SO17 403
+## 5: SO18 775
+## 6: SO19 1122</code></pre>
+<pre class="r"><code># check original EPC data for Soton - which postcodes are covered?
+allEPCs_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE,
+ split = " "
+ )
+ ]
+allEPCs_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
+<pre><code>## pc_chunk1 nEPCs
+## 1: SO14 14213
+## 2: SO15 17855
+## 3: SO16 20270
+## 4: SO17 8446
+## 5: SO18 10661
+## 6: SO19 20388</code></pre>
+<p>It looks like we have EPCs for each postcode sector which is good.</p>
+<pre class="r"><code># match the EPC postcode summaries to the postcode extract
+sotonPostcodesReducedDT[, POSTCODE_s := stringr::str_remove(pcds, " ")]
+setkey(sotonPostcodesReducedDT, POSTCODE_s)
+sotonPostcodesReducedDT[, MSOACode := msoa11]
+message("Number of postcodes: ",uniqueN(sotonPostcodesReducedDT$POSTCODE_s))</code></pre>
+<pre><code>## Number of postcodes: 5819</code></pre>
+<pre class="r"><code>sotonEpcPostcodes_DT[, POSTCODE_s := stringr::str_remove(POSTCODE, " ")]
+setkey(sotonEpcPostcodes_DT, POSTCODE_s)
+message("Number of postcodes with EPCs: ",uniqueN(sotonEpcPostcodes_DT$POSTCODE_s))</code></pre>
+<pre><code>## Number of postcodes with EPCs: 5105</code></pre>
+<pre class="r"><code>dt <- sotonEpcPostcodes_DT[sotonPostcodesReducedDT]
+
+# aggregate to MSOA - watch for NAs where no EPCs in a given postcode
+sotonEpcMSOA_DT <- dt[, .(nEPCs = sum(nEPCs, na.rm = TRUE),
+ sumEPC_tCO2 = sum(sumEPC_tCO2, na.rm = TRUE),
+ n_epcIsSocialRent = sum(n_epcIsSocialRent, na.rm = TRUE),
+ n_epcIsPrivateRent = sum(n_epcIsPrivateRent, na.rm = TRUE),
+ n_epcIsOwnerOcc = sum(n_epcIsOwnerOcc, na.rm = TRUE),
+ n_epcIsUnknownTenure = sum(n_epcIsUnknownTenure, na.rm = TRUE),
+ sumEpcMWh = sum(sumEpcMWh, na.rm = TRUE)
+ ),
+ keyby = .(MSOACode) # change name on the fly for easier matching
+ ]
+
+#summary(sotonEpcMSOA_DT)</code></pre>
+<p>So we have some postcodes with no EPCs.</p>
+<p>Join the estimates together at MSOA level for comparison. There are 32 MSOAs in Southampton.</p>
+<pre class="r"><code># 32 LSOAs in Soton
+# add deprivation
+setkey(sotonEnergyDT, MSOACode)
+setkey(sotonCensus2011_DT, MSOACode)
+setkey(sotonEpcMSOA_DT, MSOACode)
+
+sotonMSOA_DT <- sotonCensus2011_DT[sotonEnergyDT]
+#names(sotonMSOA_DT)
+sotonMSOA_DT <- sotonEpcMSOA_DT[sotonMSOA_DT]
+#names(sotonMSOA_DT)
+
+# add MSOA names from the postcode LUT
+
+msoaNamesDT <- data.table::as.data.table(readxl::read_xlsx(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Documents/MSOA (2011) names and codes UK as at 12_12.xlsx")))
+msoaNamesDT[, MSOACode := MSOA11CD]
+msoaNamesDT[, MSOAName := MSOA11NM]
+setkey(msoaNamesDT, MSOACode)
+
+sotonMSOA_DT <- msoaNamesDT[sotonMSOA_DT]
+
+#names(sotonMSOA_DT)</code></pre>
+<pre class="r"><code>t <- sotonMSOA_DT[, .(nHouseholds_2011 = sum(nHHs_tenure),
+ nElecMeters_2018 = sum(nElecMeters),
+ nEPCs_2020 = sum(nEPCs)), keyby = .(LAName)]
+
+kableExtra::kable(t, caption = "Comparison of different estimates of the number of dwellings") %>%
+ kable_styling()</code></pre>
+<table class="table" style="margin-left: auto; margin-right: auto;">
+<caption>
+<span id="tab:compareEpcEstimates">Table 4.2: </span>Comparison of different estimates of the number of dwellings
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+LAName
+</th>
+<th style="text-align:right;">
+nHouseholds_2011
+</th>
+<th style="text-align:right;">
+nElecMeters_2018
+</th>
+<th style="text-align:right;">
+nEPCs_2020
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Southampton
+</td>
+<td style="text-align:right;">
+98254
+</td>
+<td style="text-align:right;">
+108333
+</td>
+<td style="text-align:right;">
+71179
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>nHouseholds_2011f <- sum(sotonMSOA_DT$nHHs_tenure)
+nElecMeters_2018f <- sum(sotonMSOA_DT$nElecMeters)
+nEPCs_2020f <- sum(sotonMSOA_DT$nEPCs)
+
+makePC <- function(x,y,r){
+ # make a percent of x/y and round it to r decimal places
+ pc <- round(100*(x/y),r)
+ return(pc)
+}</code></pre>
+<p>From this we calculate that number of EPCs we have is:</p>
+<ul>
+<li>72.4% of Census 2011 households
+<ul>
+<li>65.7% of the recorded 2018 electricity meters</li>
+</ul></li>
+</ul>
+<p>We can also see that despite having ‘missing’ EPCs, the estimated total EPC-derived energy demand is marginally higher than the BEIS-derived weather corrected energy demand data. Given that the BEIS data accounts for all heating, cooking, hot water, lighting and appliance use we would expect the EPC data to be lower <em>even if no EPCs were missing…</em></p>
+<pre class="r"><code>sotonMSOA_DT[, dep0_pc := 100*(`Household Deprivation: Household is not deprived in any dimension; measures: Value`/nHHs_deprivation)]
+sotonMSOA_DT[, socRent_pc := 100*(census2011_socialRent/nHHs_tenure)]
+sotonMSOA_DT[, privRent_pc := 100*(census2011_privateRent/nHHs_tenure)]
+sotonMSOA_DT[, ownerOcc_pc := 100*(census2011_ownerOccupy/nHHs_tenure)]
+
+t <- sotonMSOA_DT[, .(MSOAName, MSOACode, nHHs_tenure,nElecMeters,nEPCs,
+ dep0_pc, socRent_pc, privRent_pc, ownerOcc_pc,sumEpcMWh, beisEnergyMWh )]
+
+t[, pc_missingHH := makePC(nEPCs,nHHs_tenure,1)]
+t[, pc_missingMeters := makePC(nEPCs,nElecMeters,1)]
+t[, pc_energyBEIS := makePC(sumEpcMWh,beisEnergyMWh,1)]
+
+kt1 <- t
+
+ggplot2::ggplot(t, aes(x = pc_missingHH,
+ y = pc_missingMeters,
+ colour = round(ownerOcc_pc))) +
+ geom_abline(alpha = 0.2, slope=1, intercept=0) +
+ geom_point() +
+ scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
+ #theme(legend.position = "bottom") +
+ labs(x = "EPCs 2020 as % of Census 2011 households",
+ y = "EPCs 2020 as % of electricity meters 2018",
+ caption = "x = y line included for clarity")</code></pre>
+<div class="figure"><span id="fig:missingEPCbyMSOA"></span>
+<img 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" alt="% 'missing' rates comparison" width="672" />
+<p class="caption">
+Figure 4.1: % ‘missing’ rates comparison
+</p>
+</div>
+<pre class="r"><code>outlierMSOA <- t[pc_missingHH > 100]</code></pre>
+<p>Figure <a href="#fig:missingEPCbyMSOA">4.1</a> (see Table <a href="#tab:bigMSOATable">8.1</a> below for details) suggests that rates vary considerably by MSOA but are relatively consistent across the two baseline ‘truth’ estimates with the exception of E02003577 which appears to have many more EPCs than Census 2011 households. It is worth noting that <a href="https://www.localhealth.org.uk/#c=report&chapter=c01&report=r01&selgeo1=msoa_2011.E02003577&selgeo2=eng.E92000001">this MSOA</a> covers the city centre and dock areas which have had substantial new build since 2011 and so may have households inhabiting dwellings that did not exist at Census 2011. This is also supported by the considerably higher EPC derived energy demand data compared to BEIS’s 2018 data - although it suggests the dwellings are either very new (since 2018) or are yet to be occupied.</p>
+<p>As we would expect those MSOAs with the lowest EPC coverage on both baseline measures tend to have higher proportions of owner occupiers.</p>
+<p>We can use the same approach to compare estimates of total energy demand at the MSOA level. To do this we compare:</p>
+<ul>
+<li>estimated total energy demand in MWh/year derived from the EPC estimates. This energy only relates to <code>current primary energy</code> (space heating, hot water and lighting) and of course also suffers from missing EPCs (see above)</li>
+<li>observed electricity and gas demand collated by BEIS for their sub-national statistical series. This applies to all domestic energy demand but the most recent data is for 2018 so will suffer from the absence of dwellings that are present in the most recent EPC data (see above).</li>
+</ul>
+<p>We should therefore not expect the values to match but we might reasonably expect a correlation.</p>
+<pre class="r"><code>ggplot2::ggplot(t, aes(x = sumEpcMWh,
+ y = beisEnergyMWh,
+ colour = round(ownerOcc_pc))) +
+ geom_abline(alpha = 0.2, slope=1, intercept=0) +
+ geom_point() +
+ scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
+ #theme(legend.position = "bottom") +
+ labs(x = "EPC 2020 derived total MWh/year",
+ y = "BEIS 2018 derived total MWh/year",
+ caption = "x = y line included for clarity")</code></pre>
+<div class="figure"><span id="fig:energyMSOAPlot"></span>
+<img 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" alt="Energy demand comparison" width="672" />
+<p class="caption">
+Figure 4.2: Energy demand comparison
+</p>
+</div>
+<pre class="r"><code>outlier <- t[sumEpcMWh > 70000]</code></pre>
+<p>Figure <a href="#fig:energyMSOAPlot">4.2</a> shows that both of these are true. MSOAs with a high proportion of owner occupiers (and therefore more likely to have missing EPCs) tend to have higher observed energy demand than the EOC data suggests - they are above the reference line. MSOAs with a lower proportion of owner occupiers (and therefore more likely to have more complete EPC coverage) tend to be on or below the line. As before we have the same notable outlier (E02003577) and for the same reasons… In this case this produces a much higher energy demand estimate than the BEIS 2018 data records.</p>
+</div>
+<div id="check-beis-data" class="section level1">
+<h1><span class="header-section-number">5</span> Check BEIS data</h1>
+<p>While we’re here we’ll also check the BEIS data. Table <a href="#tab:beisDesc">5.1</a> shows the five highest and lowest MSOAs by annual electricity use.</p>
+<pre class="r"><code>t1 <- head(sotonMSOA_DT[, .(MSOA11NM, MSOA11CD, beisElecMWh, nElecMeters,
+ beisGasMWh, nGasMeters)][order(-beisElecMWh)],5)
+
+kableExtra::kable(t1, caption = "Southampton MSOAs: BEIS 2018 energy data ordered by highest electricity (top 5)") %>%
+ kable_styling()</code></pre>
+<table class="table" style="margin-left: auto; margin-right: auto;">
+<caption>
+<span id="tab:beisDesc">Table 5.1: </span>Southampton MSOAs: BEIS 2018 energy data ordered by highest electricity (top 5)
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+MSOA11NM
+</th>
+<th style="text-align:left;">
+MSOA11CD
+</th>
+<th style="text-align:right;">
+beisElecMWh
+</th>
+<th style="text-align:right;">
+nElecMeters
+</th>
+<th style="text-align:right;">
+beisGasMWh
+</th>
+<th style="text-align:right;">
+nGasMeters
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Southampton 029
+</td>
+<td style="text-align:left;">
+E02003577
+</td>
+<td style="text-align:right;">
+27352.70
+</td>
+<td style="text-align:right;">
+6734
+</td>
+<td style="text-align:right;">
+20108.63
+</td>
+<td style="text-align:right;">
+2420
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 014
+</td>
+<td style="text-align:left;">
+E02003562
+</td>
+<td style="text-align:right;">
+14757.18
+</td>
+<td style="text-align:right;">
+3921
+</td>
+<td style="text-align:right;">
+36532.48
+</td>
+<td style="text-align:right;">
+2983
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 022
+</td>
+<td style="text-align:left;">
+E02003570
+</td>
+<td style="text-align:right;">
+14719.37
+</td>
+<td style="text-align:right;">
+4142
+</td>
+<td style="text-align:right;">
+34730.60
+</td>
+<td style="text-align:right;">
+3083
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 031
+</td>
+<td style="text-align:left;">
+E02003579
+</td>
+<td style="text-align:right;">
+13860.94
+</td>
+<td style="text-align:right;">
+4460
+</td>
+<td style="text-align:right;">
+34052.12
+</td>
+<td style="text-align:right;">
+3068
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 021
+</td>
+<td style="text-align:left;">
+E02003569
+</td>
+<td style="text-align:right;">
+13719.22
+</td>
+<td style="text-align:right;">
+3999
+</td>
+<td style="text-align:right;">
+27661.45
+</td>
+<td style="text-align:right;">
+2722
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>t2 <- tail(sotonMSOA_DT[, .(MSOA11NM, MSOA11CD, beisElecMWh, nElecMeters,
+ beisGasMWh, nGasMeters)][order(-beisElecMWh)],5)
+
+kableExtra::kable(t2, caption = "Southampton MSOAs: BEIS 2018 energy data ordered by lowest electricity (bottom 5)") %>%
+ kable_styling()</code></pre>
+<table class="table" style="margin-left: auto; margin-right: auto;">
+<caption>
+<span id="tab:beisDesc">Table 5.1: </span>Southampton MSOAs: BEIS 2018 energy data ordered by lowest electricity (bottom 5)
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+MSOA11NM
+</th>
+<th style="text-align:left;">
+MSOA11CD
+</th>
+<th style="text-align:right;">
+beisElecMWh
+</th>
+<th style="text-align:right;">
+nElecMeters
+</th>
+<th style="text-align:right;">
+beisGasMWh
+</th>
+<th style="text-align:right;">
+nGasMeters
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Southampton 024
+</td>
+<td style="text-align:left;">
+E02003572
+</td>
+<td style="text-align:right;">
+9347.893
+</td>
+<td style="text-align:right;">
+2597
+</td>
+<td style="text-align:right;">
+30332.49
+</td>
+<td style="text-align:right;">
+2381
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 018
+</td>
+<td style="text-align:left;">
+E02003566
+</td>
+<td style="text-align:right;">
+9221.544
+</td>
+<td style="text-align:right;">
+2831
+</td>
+<td style="text-align:right;">
+26826.22
+</td>
+<td style="text-align:right;">
+2607
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 008
+</td>
+<td style="text-align:left;">
+E02003556
+</td>
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+2303
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+</tr>
+</tbody>
+</table>
+</div>
+<div id="save-msoa-aggregates-for-re-use" class="section level1">
+<h1><span class="header-section-number">6</span> Save MSOA aggregates for re-use</h1>
+<p>Finally we save the MSOA table into the repo data directory for future use. We don’t usually advocate keeping data in a git repo but this is small, aggregated and <a href="https://en.wikipedia.org/wiki/Mostly_Harmless">mostly harmless</a>.</p>
+<pre class="r"><code>of <- here::here("data", "sotonMSOAdata.csv")
+
+data.table::fwrite(sotonMSOA_DT, of)
+message("Saved ", nrow(sotonMSOA_DT), " rows of data.")</code></pre>
+<pre><code>## Saved 32 rows of data.</code></pre>
+</div>
+<div id="r-packages-used" class="section level1">
+<h1><span class="header-section-number">7</span> R packages used</h1>
+<ul>
+<li>rmarkdown <span class="citation">(Allaire et al. 2018)</span></li>
+<li>bookdown <span class="citation">(Xie 2016a)</span></li>
+<li>knitr <span class="citation">(Xie 2016b)</span></li>
+<li>data.table <span class="citation">(Dowle et al. 2015)</span></li>
+<li>ggplot2 <span class="citation">(Wickham 2009)</span></li>
+<li>kableExtra <span class="citation">(Zhu 2018)</span></li>
+<li>readxl <span class="citation">(Wickham and Bryan 2017)</span></li>
+</ul>
+</div>
+<div id="annex" class="section level1">
+<h1><span class="header-section-number">8</span> Annex</h1>
+<div id="tables" class="section level2">
+<h2><span class="header-section-number">8.1</span> Tables</h2>
+<pre class="r"><code>kableExtra::kable(kt1[order(-pc_missingHH)], digits = 2, caption = "EPC records as a % of n census households and n meters per MSOA") %>%
+ kable_styling()</code></pre>
+<table class="table" style="margin-left: auto; margin-right: auto;">
+<caption>
+<span id="tab:bigMSOATable">Table 8.1: </span>EPC records as a % of n census households and n meters per MSOA
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+MSOAName
+</th>
+<th style="text-align:left;">
+MSOACode
+</th>
+<th style="text-align:right;">
+nHHs_tenure
+</th>
+<th style="text-align:right;">
+nElecMeters
+</th>
+<th style="text-align:right;">
+nEPCs
+</th>
+<th style="text-align:right;">
+dep0_pc
+</th>
+<th style="text-align:right;">
+socRent_pc
+</th>
+<th style="text-align:right;">
+privRent_pc
+</th>
+<th style="text-align:right;">
+ownerOcc_pc
+</th>
+<th style="text-align:right;">
+sumEpcMWh
+</th>
+<th style="text-align:right;">
+beisEnergyMWh
+</th>
+<th style="text-align:right;">
+pc_missingHH
+</th>
+<th style="text-align:right;">
+pc_missingMeters
+</th>
+<th style="text-align:right;">
+pc_energyBEIS
+</th>
+</tr>
+</thead>
+<tbody>
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+</tbody>
+</table>
+</div>
+</div>
+<div id="references" class="section level1 unnumbered">
+<h1>References</h1>
+<div id="refs" class="references">
+<div id="ref-rmarkdown">
+<p>Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, and Winston Chang. 2018. <em>Rmarkdown: Dynamic Documents for R</em>. <a href="https://CRAN.R-project.org/package=rmarkdown">https://CRAN.R-project.org/package=rmarkdown</a>.</p>
+</div>
+<div id="ref-data.table">
+<p>Dowle, M, A Srinivasan, T Short, S Lianoglou with contributions from R Saporta, and E Antonyan. 2015. <em>Data.table: Extension of Data.frame</em>. <a href="https://CRAN.R-project.org/package=data.table">https://CRAN.R-project.org/package=data.table</a>.</p>
+</div>
+<div id="ref-ggplot2">
+<p>Wickham, Hadley. 2009. <em>Ggplot2: Elegant Graphics for Data Analysis</em>. Springer-Verlag New York. <a href="http://ggplot2.org">http://ggplot2.org</a>.</p>
+</div>
+<div id="ref-readxl">
+<p>Wickham, Hadley, and Jennifer Bryan. 2017. <em>Readxl: Read Excel Files</em>. <a href="https://CRAN.R-project.org/package=readxl">https://CRAN.R-project.org/package=readxl</a>.</p>
+</div>
+<div id="ref-bookdown">
+<p>Xie, Yihui. 2016a. <em>Bookdown: Authoring Books and Technical Documents with R Markdown</em>. Boca Raton, Florida: Chapman; Hall/CRC. <a href="https://github.com/rstudio/bookdown">https://github.com/rstudio/bookdown</a>.</p>
+</div>
+<div id="ref-knitr">
+<p>———. 2016b. <em>Knitr: A General-Purpose Package for Dynamic Report Generation in R</em>. <a href="https://CRAN.R-project.org/package=knitr">https://CRAN.R-project.org/package=knitr</a>.</p>
+</div>
+<div id="ref-kableExtra">
+<p>Zhu, Hao. 2018. <em>KableExtra: Construct Complex Table with ’Kable’ and Pipe Syntax</em>. <a href="https://CRAN.R-project.org/package=kableExtra">https://CRAN.R-project.org/package=kableExtra</a>.</p>
+</div>
+</div>
+</div>
+
+
+
+</div>
+</div>
+
+</div>
+
+<script>
+
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