diff --git a/DESCRIPTION b/DESCRIPTION
index e23bf7e55d08f4743dc4b7871a099d1d2da4a178..196e31f4b163ca760c701e61720e29ddbc710ee6 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
Package: MortalityTables
Type: Package
-Version: 2.0.3
-Date: 2021-08-17
+Version: 2.0.4
+Date: 2023-10-18
Title: A Framework for Various Types of Mortality / Life Tables
Authors@R: c(person("Reinhold", "Kainhofer", role=c("aut", "cre"), email="reinhold@kainhofer.com"))
Author: Reinhold Kainhofer [aut, cre]
@@ -23,15 +23,15 @@ Enhances:
Suggests:
knitr,
tidyverse,
- rmarkdown,
- reshape2
+ reshape2,
+ rmarkdown
Description: Classes to implement and plot cohort life tables
for actuarial calculations. In particular, birth-year dependent mortality
tables using a yearly trend to extrapolate from a base year are implemented,
as well as period life table, cohort life tables using an age shift, and
merged life tables.
License: GPL (>= 2)
-RoxygenNote: 7.1.1
+RoxygenNote: 7.2.3
Collate:
'DocumentData.R'
'mortalityTable.R'
diff --git a/man/MortalityTables-package.Rd b/man/MortalityTables-package.Rd
index 245ab2e91fd9525f42056228219203f5ee93fd6f..bc1481aa0305b9c834b893497c4ba92e26e74dd4 100644
--- a/man/MortalityTables-package.Rd
+++ b/man/MortalityTables-package.Rd
@@ -6,11 +6,7 @@
\alias{MortalityTables-package}
\title{Provide life table classes for life insurance purposes}
\description{
-Classes to implement and plot cohort life tables
- for actuarial calculations. In particular, birth-year dependent mortality
- tables using a yearly trend to extrapolate from a base year are implemented,
- as well as period life table, cohort life tables using an age shift, and
- merged life tables.
+Classes to implement and plot cohort life tables for actuarial calculations. In particular, birth-year dependent mortality tables using a yearly trend to extrapolate from a base year are implemented, as well as period life table, cohort life tables using an age shift, and merged life tables.
}
\seealso{
Useful links:
diff --git a/man/ageShift.Rd b/man/ageShift.Rd
index 2598172d5273e8a445b96a565cd404672d9a206c..4557d48cd023c7e08f94772cfbe09b36f25f92cf 100644
--- a/man/ageShift.Rd
+++ b/man/ageShift.Rd
@@ -24,13 +24,13 @@ Return the age shift of the age-shifted life table given the birth year
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Age shifts apply only to mortalityTagle.ageShift, so
+\item \code{ageShift(mortalityTable)}: Age shifts apply only to mortalityTagle.ageShift, so
all other tables return NA.
-\item \code{mortalityTable.ageShift}: Return the age shift of the age-shifted life table
+\item \code{ageShift(mortalityTable.ageShift)}: Return the age shift of the age-shifted life table
given the birth year
-}}
+}}
\examples{
mortalityTables.load("Austria_Annuities")
ageShift(AVOe2005R.male.av, YOB=1910)
diff --git a/man/ages.Rd b/man/ages.Rd
index f479dbaf1e3c6f74395409f1bfe6ce045499ba50..798453e2481d9ab18d6e252b618050b61b33cc5c 100644
--- a/man/ages.Rd
+++ b/man/ages.Rd
@@ -29,15 +29,15 @@ Return the defined ages of the life table
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable.period}: Return the defined ages of the period life table
+\item \code{ages(mortalityTable.period)}: Return the defined ages of the period life table
-\item \code{mortalityTable.mixed}: Return the defined ages of the mixed life table
+\item \code{ages(mortalityTable.mixed)}: Return the defined ages of the mixed life table
-\item \code{mortalityTable.jointLives}: Return the defined ages of the joint lives mortality table (returns the ages of the first table used for joint lives)
+\item \code{ages(mortalityTable.jointLives)}: Return the defined ages of the joint lives mortality table (returns the ages of the first table used for joint lives)
-\item \code{mortalityTable.observed}: Return the defined ages of the observed life table
-}}
+\item \code{ages(mortalityTable.observed)}: Return the defined ages of the observed life table
+}}
\examples{
mortalityTables.load("Austria_Annuities")
ages(AVOe2005R.male)
diff --git a/man/baseTable.Rd b/man/baseTable.Rd
index f07c47079d5f5aa49d64298a21aaa53581ef5859..2115b6bc75eb057460d0764e9b30dc248cce34f7 100644
--- a/man/baseTable.Rd
+++ b/man/baseTable.Rd
@@ -25,13 +25,13 @@ Return the base table of the life table
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the base table of the life table
+\item \code{baseTable(mortalityTable)}: Return the base table of the life table
-\item \code{mortalityTable.period}: Return the base table of the life table
+\item \code{baseTable(mortalityTable.period)}: Return the base table of the life table
-\item \code{mortalityTable.jointLives}: Return the base table of the joint lives mortality table (returns the base table of the first table used for joint lives)
-}}
+\item \code{baseTable(mortalityTable.jointLives)}: Return the base table of the joint lives mortality table (returns the base table of the first table used for joint lives)
+}}
\examples{
mortalityTables.load("Austria_Annuities")
baseTable(AVOe2005R.male)
diff --git a/man/baseYear.Rd b/man/baseYear.Rd
index f58ed6b820f2556aa0a5b30acf46840971bec01c..d473c7374d11841e0a655acf481b54b3646aec69 100644
--- a/man/baseYear.Rd
+++ b/man/baseYear.Rd
@@ -25,13 +25,13 @@ Return the base year of the life table
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the base year of the life table
+\item \code{baseYear(mortalityTable)}: Return the base year of the life table
-\item \code{mortalityTable.mixed}: Return the base year of the life table
+\item \code{baseYear(mortalityTable.mixed)}: Return the base year of the life table
-\item \code{mortalityTable.jointLives}: Return the base year of the life table
-}}
+\item \code{baseYear(mortalityTable.jointLives)}: Return the base year of the life table
+}}
\examples{
mortalityTables.load("Austria_Annuities")
baseYear(AVOe2005R.male)
diff --git a/man/calculateImprovements.Rd b/man/calculateImprovements.Rd
index 5ff188e3b88e74ba3eb1b78a1b6f5a393610f4aa..f59cee382e3cc84d222368172754a4f16de0323a 100644
--- a/man/calculateImprovements.Rd
+++ b/man/calculateImprovements.Rd
@@ -25,11 +25,11 @@ Calculate the improvement factors for the given birth-year and the
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable.improvementFactors}: Calculate the total mortality improvement
+\item \code{calculateImprovements(mortalityTable.improvementFactors)}: Calculate the total mortality improvement
factors relative to the base year for the given birth-year and the
\code{\linkS4class{mortalityTable.improvementFactors}} object
-}}
+}}
\examples{
pensionTables.load("USA_PensionPlan_RP2014")
calculateImprovements(RP2014.male@qx, YOB = 2017)
diff --git a/man/commutationNumbers.Rd b/man/commutationNumbers.Rd
index 0e251f9e2cca77dc38ea812de682e1737efce766..50ceb8bb5849b504813f264c7fddcd6e6f5ed05b 100644
--- a/man/commutationNumbers.Rd
+++ b/man/commutationNumbers.Rd
@@ -29,19 +29,19 @@ Calculate the commutation numbers for the given parameters, using the mortality
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Calculate the commutation numbers for the given
+\item \code{commutationNumbers(mortalityTable)}: Calculate the commutation numbers for the given
parameters, using the mortality table and an interest rate
-\item \code{numeric}: Calculate the commutation numbers for the given
+\item \code{commutationNumbers(numeric)}: Calculate the commutation numbers for the given
death probabilities (passed as a numeric vector with argument
name "object"), ages and an interest rate
Return value is a list of data frames
-\item \code{pensionTable}: Calculate the commutation numbers for the given
+\item \code{commutationNumbers(pensionTable)}: Calculate the commutation numbers for the given
parameters, using the pension table and an interest rate
Return value is a list of data frames
-}}
+}}
\examples{
mortalityTables.load("Austria_Annuities")
commutationNumbers(AVOe2005R.male, i = 0.03, YOB = 1975)
diff --git a/man/deathProbabilities.Rd b/man/deathProbabilities.Rd
index e89bcaa3022f0ef7753ac362bd37890281f21aba..7849be5f14ffccda30475d051177b8b59184ae07 100644
--- a/man/deathProbabilities.Rd
+++ b/man/deathProbabilities.Rd
@@ -44,28 +44,28 @@ Return the (cohort) death probabilities of the life table given the birth year (
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable.period}: Return the (cohort) death probabilities of the
+\item \code{deathProbabilities(mortalityTable.period)}: Return the (cohort) death probabilities of the
life table given the birth year (if needed)
-\item \code{mortalityTable.ageShift}: Return the (cohort) death probabilities of the
+\item \code{deathProbabilities(mortalityTable.ageShift)}: Return the (cohort) death probabilities of the
life table given the birth year (if needed)
-\item \code{mortalityTable.trendProjection}: Return the (cohort) death probabilities of the
+\item \code{deathProbabilities(mortalityTable.trendProjection)}: Return the (cohort) death probabilities of the
life table given the birth year (if needed)
-\item \code{mortalityTable.improvementFactors}: Return the (cohort) death probabilities of the
+\item \code{deathProbabilities(mortalityTable.improvementFactors)}: Return the (cohort) death probabilities of the
life table given the birth year (if needed)
-\item \code{mortalityTable.mixed}: Return the (cohort) death probabilities of the
+\item \code{deathProbabilities(mortalityTable.mixed)}: Return the (cohort) death probabilities of the
life table given the birth year (if needed)
-\item \code{mortalityTable.jointLives}: Return the (cohort) death probabilities of the
+\item \code{deathProbabilities(mortalityTable.jointLives)}: Return the (cohort) death probabilities of the
life table given the birth year (if needed)
-\item \code{mortalityTable.observed}: Return the (cohort) death probabilities of the
+\item \code{deathProbabilities(mortalityTable.observed)}: Return the (cohort) death probabilities of the
life table given the birth year (if needed)
-}}
+}}
\examples{
mortalityTables.load("Austria_Annuities")
deathProbabilities(AVOe2005R.male, YOB = 1975)
diff --git a/man/getCohortTable.Rd b/man/getCohortTable.Rd
index 0b868ababdbdebfab5078a9a78f66ea14bd4599c..a468a74e70a35dc3028b5d0ebd2c3ad1c98ae097 100644
--- a/man/getCohortTable.Rd
+++ b/man/getCohortTable.Rd
@@ -21,10 +21,10 @@ Return the cohort life table as a \code{mortalityTable.period} object
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the cohort life table as a
+\item \code{getCohortTable(mortalityTable)}: Return the cohort life table as a
\code{mortalityTable.period} object
-}}
+}}
\examples{
mortalityTables.load("Austria_Annuities")
tb75 = getCohortTable(AVOe2005R.male, YOB = 1975)
diff --git a/man/getOmega.Rd b/man/getOmega.Rd
index 0fa3c94d29d8b818a8056b9145abfcbfcb147f9d..23b189ef97a4188e0ea0f56ecc45db7f2e3eead8 100644
--- a/man/getOmega.Rd
+++ b/man/getOmega.Rd
@@ -27,15 +27,15 @@ Return the maximum age of the life table
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable.period}: Return the maximum age of the period life table
+\item \code{getOmega(mortalityTable.period)}: Return the maximum age of the period life table
-\item \code{mortalityTable.mixed}: Return the maximum age of the mixed life table
+\item \code{getOmega(mortalityTable.mixed)}: Return the maximum age of the mixed life table
-\item \code{mortalityTable.jointLives}: Return the maximum age of the joint lives mortality table (returns the maximum age of the first table used for joint lives, as the ages of the joint lives are now known to the function)
+\item \code{getOmega(mortalityTable.jointLives)}: Return the maximum age of the joint lives mortality table (returns the maximum age of the first table used for joint lives, as the ages of the joint lives are now known to the function)
-\item \code{mortalityTable.observed}: Return the maximum age of the life table
-}}
+\item \code{getOmega(mortalityTable.observed)}: Return the maximum age of the life table
+}}
\examples{
mortalityTables.load("Austria_Annuities")
getOmega(AVOe2005R.male)
diff --git a/man/getPeriodTable.Rd b/man/getPeriodTable.Rd
index b2172943a85435af4301e386ce4ef616207e6440..55bc3b67f28a86b5828e7380d601af928f1216fd 100644
--- a/man/getPeriodTable.Rd
+++ b/man/getPeriodTable.Rd
@@ -22,10 +22,10 @@ Return the period life table as a \code{mortalityTable.period} object
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the period life table as a
+\item \code{getPeriodTable(mortalityTable)}: Return the period life table as a
\code{mortalityTable.period} object
-}}
+}}
\examples{
mortalityTables.load("Austria_Annuities")
tb17 = getPeriodTable(AVOe2005R.male, Period = 2017)
diff --git a/man/lifeTable.Rd b/man/lifeTable.Rd
index f65dff43ac2c9a24f2cf85456014b03f79fed5ef..c6e28ed447af1d25843df2ac58ed7aac94a50a99 100644
--- a/man/lifeTable.Rd
+++ b/man/lifeTable.Rd
@@ -29,16 +29,16 @@ Return the lifetable object (package lifecontingencies) for the cohort life tabl
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the lifetable object (package lifecontingencies)
+\item \code{lifeTable(mortalityTable)}: Return the lifetable object (package lifecontingencies)
for the cohort life table
-\item \code{array}: Return the lifetable object (package lifecontingencies) from the mortalityTable objects stored in the array
+\item \code{lifeTable(array)}: Return the lifetable object (package lifecontingencies) from the mortalityTable objects stored in the array
-\item \code{list}: Return the lifetable object (package lifecontingencies) from the mortalityTable objects stored in the list
+\item \code{lifeTable(list)}: Return the lifetable object (package lifecontingencies) from the mortalityTable objects stored in the list
-\item \code{NULL}: Empty dummy function to handle unassigned variables
-}}
+\item \code{lifeTable(`NULL`)}: Empty dummy function to handle unassigned variables
+}}
\examples{
if (requireNamespace("lifecontingencies", quietly = TRUE)) {
library("lifecontingencies")
diff --git a/man/mT.cleanup.Rd b/man/mT.cleanup.Rd
index 54658f441b1c753d21febea00920c62a2ae25fbe..640ad3cc8463a672c0621dcc201cad3dd34d79b9 100644
--- a/man/mT.cleanup.Rd
+++ b/man/mT.cleanup.Rd
@@ -51,21 +51,21 @@ or mixed tables), all components are cleaned.
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Clean up and remove all non-essential data from the mortalityTable object
+\item \code{mT.cleanup(mortalityTable)}: Clean up and remove all non-essential data from the mortalityTable object
-\item \code{mortalityTable.period}: Clean up and remove all non-essential data from the mortalityTable.period object
+\item \code{mT.cleanup(mortalityTable.period)}: Clean up and remove all non-essential data from the mortalityTable.period object
-\item \code{mortalityTable.trendProjection}: Clean up and remove all non-essential data from the mortalityTable.trendProjection object
+\item \code{mT.cleanup(mortalityTable.trendProjection)}: Clean up and remove all non-essential data from the mortalityTable.trendProjection object
-\item \code{array}: Clean up and remove all non-essential data from the mortalityTable objects stored in the array
+\item \code{mT.cleanup(array)}: Clean up and remove all non-essential data from the mortalityTable objects stored in the array
-\item \code{list}: Clean up and remove all non-essential data from the mortalityTable objects stored in the list
+\item \code{mT.cleanup(list)}: Clean up and remove all non-essential data from the mortalityTable objects stored in the list
-\item \code{pensionTable}: Clean up and remove all non-essential data from the mortalityTable objects stored in the array
+\item \code{mT.cleanup(pensionTable)}: Clean up and remove all non-essential data from the mortalityTable objects stored in the array
-\item \code{mortalityTable.observed}: Clean up the internal data of the mortality table
-}}
+\item \code{mT.cleanup(mortalityTable.observed)}: Clean up the internal data of the mortality table
+}}
\examples{
mortalityTables.load("Austria_Census")
# Whittaker-Henderson smoothing stores the raw input and the weights in the
diff --git a/man/mT.round.Rd b/man/mT.round.Rd
index 7762b357ddc4175a41acf51f8215b3b86aec8fd4..ade7f1fadf5af2c564160b5364d84968baf75835 100644
--- a/man/mT.round.Rd
+++ b/man/mT.round.Rd
@@ -42,23 +42,23 @@ numerical digits. For pensionTable objects, the function is applied to all compo
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Round the given mortalityTable to a given number of digits
+\item \code{mT.round(mortalityTable)}: Round the given mortalityTable to a given number of digits
-\item \code{mortalityTable.period}: Round the given period mortality table to a given number of digits (base table and loadings)
+\item \code{mT.round(mortalityTable.period)}: Round the given period mortality table to a given number of digits (base table and loadings)
-\item \code{mortalityTable.trendProjection}: Round the given mortalityTable with trend projection to a given number of digits (base table, loadings and trend(s))
+\item \code{mT.round(mortalityTable.trendProjection)}: Round the given mortalityTable with trend projection to a given number of digits (base table, loadings and trend(s))
-\item \code{mortalityTable.improvementFactors}: Round the given mortalityTable with improvement factors to a given number of digits (base table, loadings and improvement factors)
+\item \code{mT.round(mortalityTable.improvementFactors)}: Round the given mortalityTable with improvement factors to a given number of digits (base table, loadings and improvement factors)
-\item \code{array}: Round the mortalityTables stored in an array to a given number of digits
+\item \code{mT.round(array)}: Round the mortalityTables stored in an array to a given number of digits
-\item \code{list}: Round the mortalityTables stored in a list to a given number of digits
+\item \code{mT.round(list)}: Round the mortalityTables stored in a list to a given number of digits
-\item \code{pensionTable}: Round all components of a pensionTable to a given number of digits
+\item \code{mT.round(pensionTable)}: Round all components of a pensionTable to a given number of digits
-\item \code{mortalityTable.observed}: Return the life table with the values rounded to the given number of digits
-}}
+\item \code{mT.round(mortalityTable.observed)}: Return the life table with the values rounded to the given number of digits
+}}
\examples{
mortalityTables.load("Austria_Census")
AT.rounded1 = mT.round(mort.AT.census.2011.male, 1)
diff --git a/man/mT.setTrend.Rd b/man/mT.setTrend.Rd
index f6dc57a7160f46eefc976f949f1e8ef48ac7b222..d5296da7be71d238eb94b9bc27e361d36feff33c 100644
--- a/man/mT.setTrend.Rd
+++ b/man/mT.setTrend.Rd
@@ -37,6 +37,6 @@ Set/Add a trend vector for the probabilities of the given \code{mortalityTable}
}
\section{Functions}{
\itemize{
-\item \code{mT.addTrend}: Add a trend to the mortality table (returns a mortalityTable.trendProjection obect)
-}}
+\item \code{mT.addTrend()}: Add a trend to the mortality table (returns a mortalityTable.trendProjection obect)
+}}
diff --git a/man/mortalityImprovement.Rd b/man/mortalityImprovement.Rd
index 793aa39a91362815e86a91e39fd84e0f22f79b4c..e6286114df49dde9fc05f0d358e02adc05d04aa4 100644
--- a/man/mortalityImprovement.Rd
+++ b/man/mortalityImprovement.Rd
@@ -24,10 +24,10 @@ Return the mortality trend (yearly log-death-probability improvement) of the giv
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the yearly log-mortality improvement of the
+\item \code{mortalityImprovement(mortalityTable)}: Return the yearly log-mortality improvement of the
life table given the birth or observation year
-}}
+}}
\examples{
mortalityTables.load("Austria_Annuities")
# AVOe 2005R includes a trend decline by default, compare the exact table
diff --git a/man/pT.calculateTotalMortality.Rd b/man/pT.calculateTotalMortality.Rd
index 982f38165f8851d386f2fa973a0facb0785cf701..0790de529dd7f0fa0caf7bc736953376aa911a39 100644
--- a/man/pT.calculateTotalMortality.Rd
+++ b/man/pT.calculateTotalMortality.Rd
@@ -35,10 +35,10 @@ table AVÖ 2018-P or the German Heubeck Table DAV 2005-G.
}
\section{Functions}{
\itemize{
-\item \code{pT.recalculateTotalMortality}: Calculate the total mortality of a
+\item \code{pT.recalculateTotalMortality()}: Calculate the total mortality of a
pension table and assign it to the \code{qgx} slot of that table.
-}}
+}}
\references{
R. Kainhofer, J. Hirz, A. Schubert. AVÖ 2018-P: Rechnungsgrundlagen für die Pensionsversicherung. Dokumentation der Pensionstafel. AVÖ-Arbeitskreis Rechnungsgrundlagen, 2008. \url{https://avoe.at/rechnungsgrundlagen/pensionskassen/}
}
diff --git a/man/periodDeathProbabilities.Rd b/man/periodDeathProbabilities.Rd
index 6ba2b39abbfae0bd27d488cb9bf2c276d06de81d..671d6bb1cd04de09b553701261f2c6502d236794 100644
--- a/man/periodDeathProbabilities.Rd
+++ b/man/periodDeathProbabilities.Rd
@@ -52,31 +52,31 @@ observation year
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable.period}: Return the (period) death probabilities
+\item \code{periodDeathProbabilities(mortalityTable.period)}: Return the (period) death probabilities
of the life table for a given observation year
-\item \code{mortalityTable.ageShift}: Return the (period) death probabilities
+\item \code{periodDeathProbabilities(mortalityTable.ageShift)}: Return the (period) death probabilities
of the life table for a given observation year
-\item \code{mortalityTable.trendProjection}: Return the (period) death probabilities
+\item \code{periodDeathProbabilities(mortalityTable.trendProjection)}: Return the (period) death probabilities
of the life table for a given observation year
-\item \code{mortalityTable.improvementFactors}: Return the (period) death probabilities
+\item \code{periodDeathProbabilities(mortalityTable.improvementFactors)}: Return the (period) death probabilities
of the life table for a given observation year
-\item \code{mortalityTable.mixed}: Return the (period) death probabilities
+\item \code{periodDeathProbabilities(mortalityTable.mixed)}: Return the (period) death probabilities
of the life table for a given observation year
-\item \code{mortalityTable.jointLives}: Return the (period) death probabilities
+\item \code{periodDeathProbabilities(mortalityTable.jointLives)}: Return the (period) death probabilities
of the joint lives mortality table for a given observation year
-\item \code{mortalityTable.observed}: Return the (period) death probabilities
+\item \code{periodDeathProbabilities(mortalityTable.observed)}: Return the (period) death probabilities
of the life table for a given observation year
If the observed mortality table does not provide data
for the desired period, the period closest to the
`Period` argument will be used and a warning printed.
-}}
+}}
\examples{
mortalityTables.load("Austria_Annuities")
periodDeathProbabilities(AVOe2005R.male, Period = 1975)
diff --git a/man/periodTransitionProbabilities.Rd b/man/periodTransitionProbabilities.Rd
index b38701d5045db76fa2bbdade2079c798d89ae3ea..7e1b7c97c79eeac8110f893e1362c5341bba6403 100644
--- a/man/periodTransitionProbabilities.Rd
+++ b/man/periodTransitionProbabilities.Rd
@@ -47,9 +47,9 @@ Return all period transition probabilities of the pension table
}
\section{Methods (by class)}{
\itemize{
-\item \code{pensionTable}: Return all transition probabilities of the pension table for the period Period
-}}
+\item \code{periodTransitionProbabilities(pensionTable)}: Return all transition probabilities of the pension table for the period Period
+}}
\examples{
pensionTables.load("USA_PensionPlans")
# transitionProbabilities internally calls periodTransitionProbabilities
diff --git a/man/setLoading.Rd b/man/setLoading.Rd
index 927e6e2cb156e9669cb45e4254b13691a626c757..eefb4c635733bd3811a6c7a57e29afdb9f12e028 100644
--- a/man/setLoading.Rd
+++ b/man/setLoading.Rd
@@ -19,9 +19,9 @@ Return a copy of the table with an additional loading added
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the life table with the given loading set
-}}
+\item \code{setLoading(mortalityTable)}: Return the life table with the given loading set
+}}
\examples{
mortalityTables.load("Austria_Census")
# Austrian census mortality 2011 reduced by 30\%
diff --git a/man/setModification.Rd b/man/setModification.Rd
index 933535e8a82cdc1b2cef331e1ac5f0159f2b5e58..9c6cb4e2cf6dbec742c72459a08af2aa2e15811d 100644
--- a/man/setModification.Rd
+++ b/man/setModification.Rd
@@ -19,9 +19,9 @@ Return a copy of the table with the given modification function added
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the life table with the given modification set
-}}
+\item \code{setModification(mortalityTable)}: Return the life table with the given modification set
+}}
\examples{
mortalityTables.load("Austria_Census")
# Austrian census mortality 2011, with a lower floor of 0.1\% death probability
diff --git a/man/transitionProbabilities.Rd b/man/transitionProbabilities.Rd
index 73bab71a1394aeab63b0d3fb2d448b6db79e8b04..474f2fc97fdc90ef85f50797e42f8f7e2a947b69 100644
--- a/man/transitionProbabilities.Rd
+++ b/man/transitionProbabilities.Rd
@@ -56,9 +56,9 @@ Return all transition probabilities of the pension table (generational probabili
}
\section{Methods (by class)}{
\itemize{
-\item \code{pensionTable}: Return all transition probabilities of the pension table for the generation YOB
-}}
+\item \code{transitionProbabilities(pensionTable)}: Return all transition probabilities of the pension table for the generation YOB
+}}
\examples{
pensionTables.load("USA_PensionPlans")
transitionProbabilities(RP2014.male, YOB = 1962)
diff --git a/man/undampenTrend.Rd b/man/undampenTrend.Rd
index 2886094c77ac6477d0fcc87bca7efd1dd5e7324d..26e1ec6361833f664cded5678a6f48602962e6a6 100644
--- a/man/undampenTrend.Rd
+++ b/man/undampenTrend.Rd
@@ -17,10 +17,10 @@ Return a \code{mortalityTable.trendProjection} object with the trend damping rem
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable.trendProjection}: Return a \code{mortalityTable.trendProjection}
+\item \code{undampenTrend(mortalityTable.trendProjection)}: Return a \code{mortalityTable.trendProjection}
object with the trend damping removed.
-}}
+}}
\examples{
mortalityTables.load("Austria_Annuities")
AVOe2005R.male.undamped = undampenTrend(AVOe2005R.male)
diff --git a/vignettes/international-mortality-tables-overview.Rmd b/vignettes/international-mortality-tables-overview.Rmd
index 8cfef45cc310c25d0c344f9b310d6edab29cf3d7..2296a030decc75597b22598b97a823f1e66414dd 100644
--- a/vignettes/international-mortality-tables-overview.Rmd
+++ b/vignettes/international-mortality-tables-overview.Rmd
@@ -191,7 +191,7 @@ plotMortalityTables(RR67, EROM85.male, EROF85.female, EROM.G1950.male.av, EROF.G
#### Census tables
* gender-specific period tables
- * male+female, unisex only 2000/02 and 2010/12; ages 0--95, from 1930 on 0--100
+ * male+female, unisex only starting 2000/02; ages 0--95, from 1930 on 0--100
* Based on the official census data:
* 1868/71
* 1879/82
@@ -206,6 +206,7 @@ plotMortalityTables(RR67, EROM85.male, EROF85.female, EROM.G1950.male.av, EROF.G
* 1990/92
* 2000/02
* 2010/12
+ * 2020/22
* Usage with the `MortalityTables` package:
```{r OeVSt}
mortalityTables.load("Austria_Census")
@@ -239,9 +240,9 @@ mort.AT.MCMC
* Source: R. Kainhofer, J. Hirz, A. Schubert: AVÖ 2018-P - Rechnungsgrundlagen für die Pensionsversicherung, Dokumentation der Pensionstafel, Arbeitskreis Rechnungsgrundlagen, Aktuarvereinigung Österreichs (AVÖ), 30. August 2018. https://oefdv.avoe.at/rechnungsgrundlagen/
-### Observed population mortalities 1947--2016 (by Statistik Austria)
+### Observed population mortalities 1947--2022 (by Statistik Austria)
-* Gender-specific observations of the mortalities from1947
+* Gender-specific observations of the mortalities from 1947
* Provided by Statistik Austria (no formal publication of the tables), can be used freely with attribution
* Usage with the `MortalityTables` package:
```{r AT.Observation, results="hide"}
diff --git a/vignettes/using-the-mortalityTables-package.html b/vignettes/using-the-mortalityTables-package.html
index 5b7ff8f3f08ade230ee8394770a773ef48a2c03f..afeaf15bb18c626c8095aa30365d7f43a92e95b5 100644
--- a/vignettes/using-the-mortalityTables-package.html
+++ b/vignettes/using-the-mortalityTables-package.html
@@ -12,94 +12,107 @@
<meta name="author" content="Reinhold Kainhofer, reinhold@kainhofer.com" />
-<meta name="date" content="2020-12-13" />
+<meta name="date" content="2023-10-18" />
<title>Using the MortalityTables Package</title>
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+<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
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try { var rules = sheets[i].cssRules; } catch (e) { continue; }
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+ var j = 0;
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@@ -319,229 +340,320 @@ code > span.er { color: #a61717; background-color: #e3d2d2; }
<h1 class="title toc-ignore">Using the MortalityTables Package</h1>
<h4 class="author">Reinhold Kainhofer, <a href="mailto:reinhold@kainhofer.com" class="email">reinhold@kainhofer.com</a></h4>
-<h4 class="date">2020-12-13</h4>
+<h4 class="date">2023-10-18</h4>
<div id="TOC">
<ul>
-<li><a href="#types-of-life-tables"><span class="toc-section-number">1</span> Types of Life Tables</a></li>
-<li><a href="#loading-the-mortalitytables-package"><span class="toc-section-number">2</span> Loading the MortalityTables package</a></li>
-<li><a href="#provided-data-sets"><span class="toc-section-number">3</span> Provided Data Sets</a></li>
-<li><a href="#working-with-life-table-objects"><span class="toc-section-number">4</span> Working with life table objects</a><ul>
-<li><a href="#plotting-life-tables"><span class="toc-section-number">4.1</span> Plotting life tables</a></li>
-<li><a href="#obtaining-period-and-cohort-death-probabilities"><span class="toc-section-number">4.2</span> Obtaining period and cohort death probabilities</a></li>
-<li><a href="#other-data-extraction-functions-from-life-tables"><span class="toc-section-number">4.3</span> Other data extraction functions from life tables</a></li>
-<li><a href="#dimensional-information"><span class="toc-section-number">4.4</span> Dimensional information</a></li>
+<li><a href="#types-of-life-tables" id="toc-types-of-life-tables"><span class="toc-section-number">1</span> Types of Life Tables</a></li>
+<li><a href="#loading-the-mortalitytables-package" id="toc-loading-the-mortalitytables-package"><span class="toc-section-number">2</span> Loading the MortalityTables
+package</a></li>
+<li><a href="#provided-data-sets" id="toc-provided-data-sets"><span class="toc-section-number">3</span> Provided Data Sets</a></li>
+<li><a href="#working-with-life-table-objects" id="toc-working-with-life-table-objects"><span class="toc-section-number">4</span> Working with life table objects</a>
+<ul>
+<li><a href="#plotting-life-tables" id="toc-plotting-life-tables"><span class="toc-section-number">4.1</span> Plotting life tables</a></li>
+<li><a href="#obtaining-period-and-cohort-death-probabilities" id="toc-obtaining-period-and-cohort-death-probabilities"><span class="toc-section-number">4.2</span> Obtaining period and cohort death
+probabilities</a></li>
+<li><a href="#other-data-extraction-functions-from-life-tables" id="toc-other-data-extraction-functions-from-life-tables"><span class="toc-section-number">4.3</span> Other data extraction functions
+from life tables</a></li>
+<li><a href="#dimensional-information" id="toc-dimensional-information"><span class="toc-section-number">4.4</span> Dimensional information</a></li>
</ul></li>
-<li><a href="#creating-a-life-table-object"><span class="toc-section-number">5</span> Creating a life table object</a><ul>
-<li><a href="#period-life-tables"><span class="toc-section-number">5.1</span> Period life tables</a></li>
-<li><a href="#cohort-life-tables-with-trend-projection"><span class="toc-section-number">5.2</span> Cohort life tables with trend projection</a></li>
-<li><a href="#cohort-life-tables-with-age-shift"><span class="toc-section-number">5.3</span> Cohort life tables with age-shift</a></li>
+<li><a href="#creating-a-life-table-object" id="toc-creating-a-life-table-object"><span class="toc-section-number">5</span> Creating a life table object</a>
+<ul>
+<li><a href="#period-life-tables" id="toc-period-life-tables"><span class="toc-section-number">5.1</span> Period life tables</a></li>
+<li><a href="#cohort-life-tables-with-trend-projection" id="toc-cohort-life-tables-with-trend-projection"><span class="toc-section-number">5.2</span> Cohort life tables with trend
+projection</a></li>
+<li><a href="#cohort-life-tables-with-age-shift" id="toc-cohort-life-tables-with-age-shift"><span class="toc-section-number">5.3</span> Cohort life tables with
+age-shift</a></li>
</ul></li>
-<li><a href="#modifying-life-table-objects"><span class="toc-section-number">6</span> Modifying life table objects</a><ul>
-<li><a href="#copying-life-tables"><span class="toc-section-number">6.1</span> Copying life tables</a></li>
-<li><a href="#adding-a-security-loading-to-the-raw-probabilities"><span class="toc-section-number">6.2</span> Adding a security loading to the raw probabilities</a></li>
-<li><a href="#adding-a-modification-to-the-raw-probabilities"><span class="toc-section-number">6.3</span> Adding a modification to the raw probabilities</a></li>
+<li><a href="#modifying-life-table-objects" id="toc-modifying-life-table-objects"><span class="toc-section-number">6</span> Modifying life table objects</a>
+<ul>
+<li><a href="#copying-life-tables" id="toc-copying-life-tables"><span class="toc-section-number">6.1</span> Copying life tables</a></li>
+<li><a href="#adding-a-security-loading-to-the-raw-probabilities" id="toc-adding-a-security-loading-to-the-raw-probabilities"><span class="toc-section-number">6.2</span> Adding a security loading to the
+raw probabilities</a></li>
+<li><a href="#adding-a-modification-to-the-raw-probabilities" id="toc-adding-a-modification-to-the-raw-probabilities"><span class="toc-section-number">6.3</span> Adding a modification to the raw
+probabilities</a></li>
</ul></li>
-<li><a href="#creating-mortality-tables-from-data-and-modifying-them-using-various-helper-functions"><span class="toc-section-number">7</span> Creating mortality tables from data and modifying them using various helper functions</a></li>
-<li><a href="#pension-tables"><span class="toc-section-number">8</span> Pension Tables</a></li>
+<li><a href="#creating-mortality-tables-from-data-and-modifying-them-using-various-helper-functions" id="toc-creating-mortality-tables-from-data-and-modifying-them-using-various-helper-functions"><span class="toc-section-number">7</span> Creating mortality tables from data
+and modifying them using various helper functions</a></li>
+<li><a href="#pension-tables" id="toc-pension-tables"><span class="toc-section-number">8</span> Pension Tables</a></li>
</ul>
</div>
-<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1"></a>required <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"tidyverse"</span>)</span>
-<span id="cb1-2"><a href="#cb1-2"></a><span class="cf">if</span> (<span class="op">!</span><span class="kw">all</span>(<span class="kw">sapply</span>(required, </span>
-<span id="cb1-3"><a href="#cb1-3"></a> <span class="cf">function</span>(pkg) <span class="kw">requireNamespace</span>(pkg, <span class="dt">quietly =</span> <span class="ot">TRUE</span>)))) {</span>
-<span id="cb1-4"><a href="#cb1-4"></a> <span class="kw">message</span>(<span class="kw">paste</span>(<span class="st">"This vignette needs the followig packages:</span><span class="ch">\n\t</span><span class="st">"</span>, </span>
-<span id="cb1-5"><a href="#cb1-5"></a> <span class="kw">paste</span>(required, <span class="dt">collapse =</span> <span class="st">" "</span>), </span>
-<span id="cb1-6"><a href="#cb1-6"></a> <span class="st">"</span><span class="ch">\n</span><span class="st">Since not all are installed, code will not be executed: "</span>))</span>
-<span id="cb1-7"><a href="#cb1-7"></a> knitr<span class="op">::</span>opts_chunk<span class="op">$</span><span class="kw">set</span>(<span class="dt">eval =</span> <span class="ot">FALSE</span>)</span>
-<span id="cb1-8"><a href="#cb1-8"></a>}</span></code></pre></div>
-<p>The MortalityTables package provides the <code>mortalityTable</code> base class and some derived classes to handle different types of mortality tables (also called life tables), mainly used for life insurance. Additionally it provides a plot function to compare multiple life tables either directly using the absolute mortalities in log-linear plots or using relative mortalities as percentages of a given reference table.</p>
-<div id="types-of-life-tables" class="section level1">
-<h1><span class="header-section-number">1</span> Types of Life Tables</h1>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>required <span class="ot"><-</span> <span class="fu">c</span>(<span class="st">"tidyverse"</span>)</span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">all</span>(<span class="fu">sapply</span>(required, </span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a> <span class="cf">function</span>(pkg) <span class="fu">requireNamespace</span>(pkg, <span class="at">quietly =</span> <span class="cn">TRUE</span>)))) {</span>
+<span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a> <span class="fu">message</span>(<span class="fu">paste</span>(<span class="st">"This vignette needs the followig packages:</span><span class="sc">\n\t</span><span class="st">"</span>, </span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a> <span class="fu">paste</span>(required, <span class="at">collapse =</span> <span class="st">" "</span>), </span>
+<span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a> <span class="st">"</span><span class="sc">\n</span><span class="st">Since not all are installed, code will not be executed: "</span>))</span>
+<span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a> knitr<span class="sc">::</span>opts_chunk<span class="sc">$</span><span class="fu">set</span>(<span class="at">eval =</span> <span class="cn">FALSE</span>)</span>
+<span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a>}</span></code></pre></div>
+<p>The MortalityTables package provides the <code>mortalityTable</code>
+base class and some derived classes to handle different types of
+mortality tables (also called life tables), mainly used for life
+insurance. Additionally it provides a plot function to compare multiple
+life tables either directly using the absolute mortalities in log-linear
+plots or using relative mortalities as percentages of a given reference
+table.</p>
+<div id="types-of-life-tables" class="section level1" number="1">
+<h1><span class="header-section-number">1</span> Types of Life
+Tables</h1>
<p>Provided types of mortality tables are:</p>
<ul>
<li><dl>
<dt>Base class</dt>
-<dd>Class <code>mortalityTable</code>
+<dd>
+Class <code>mortalityTable</code>
</dd>
</dl></li>
<li><dl>
<dt>Period life table</dt>
-<dd>Class <code>mortalityTable.period(ages, deathProbs, ..., baseYear=2000)</code>
+<dd>
+Class
+<code>mortalityTable.period(ages, deathProbs, ..., baseYear=2000)</code>
</dd>
-<dd>Death probabilities observed / predicted for one observation year; No dependency on the bith year is assumed.
+<dd>
+Death probabilities observed / predicted for one observation year; No
+dependency on the bith year is assumed.
</dd>
</dl></li>
<li><dl>
<dt>Cohort life table using age-specific trends</dt>
-<dd>Class <code>mortalityTable.trendProjection</code>
+<dd>
+Class <code>mortalityTable.trendProjection</code>
</dd>
-<dd>Death probabilities of a given base year are projected into the future using age-specific trends <span class="math inline">\(\lambda_x\)</span>. The death probability of an <span class="math inline">\(x\)</span>-year old in year <code>baseYear + n</code> is calculated as: <span class="math display">\[q_x^{(baseYear+n)} = q_x^{(baseYear)} \cdot e^{-n\cdot\lambda_x}\]</span>
+<dd>
+Death probabilities of a given base year are projected into the future
+using age-specific trends <span class="math inline">\(\lambda_x\)</span>. The death probability of an
+<span class="math inline">\(x\)</span>-year old in year
+<code>baseYear + n</code> is calculated as: <span class="math display">\[q_x^{(baseYear+n)} = q_x^{(baseYear)} \cdot
+e^{-n\cdot\lambda_x}\]</span>
</dd>
-<dd>Consequently, the death probabilities for a person born in year <code>YOB</code> can be calculated as <span class="math display">\[q_x^{YOB} = q_x^{(base)} \cdot e^{-(YOB+x-baseYear)\cdot \lambda_x}\]</span>
+<dd>
+Consequently, the death probabilities for a person born in year
+<code>YOB</code> can be calculated as <span class="math display">\[q_x^{YOB} = q_x^{(base)} \cdot
+e^{-(YOB+x-baseYear)\cdot \lambda_x}\]</span>
</dd>
</dl></li>
<li><dl>
<dt>Cohort life table approximation using age shift</dt>
-<dd>Class <code>mortalityTable.ageShift</code>
+<dd>
+Class <code>mortalityTable.ageShift</code>
</dd>
-<dd>Death probabilities for cohort <span class="math inline">\(YOB\)</span> are obtained by using death probabilities for cohort <span class="math inline">\(X\)</span> and modifying the technical age with a birth-year dependent shift: <span class="math display">\[q_x^{YOB} = q_{x+shift(YOB)}^{(base)}\]</span>
+<dd>
+Death probabilities for cohort <span class="math inline">\(YOB\)</span>
+are obtained by using death probabilities for cohort <span class="math inline">\(X\)</span> and modifying the technical age with a
+birth-year dependent shift: <span class="math display">\[q_x^{YOB} =
+q_{x+shift(YOB)}^{(base)}\]</span>
</dd>
</dl></li>
<li><dl>
<dt>Observed life table</dt>
-<dd>Class <code>mortalityTable.observed</code>
+<dd>
+Class <code>mortalityTable.observed</code>
</dd>
-<dd>Death probabilities observed during several years. The probabilities are stored as a matrix with observation year and age as dimensions.
+<dd>
+Death probabilities observed during several years. The probabilities are
+stored as a matrix with observation year and age as dimensions.
</dd>
</dl></li>
<li><dl>
<dt>Mixed life table</dt>
-<dd>Class <code>mortalityTable.mixed</code>
+<dd>
+Class <code>mortalityTable.mixed</code>
</dd>
-<dd>Arithmetic mean of two life tables with given weights. This approach is often used to generate unisex life tables by mixing male and female mortalities with given weights (e.g. 70:30 or 40:60)
+<dd>
+Arithmetic mean of two life tables with given weights. This approach is
+often used to generate unisex life tables by mixing male and female
+mortalities with given weights (e.g. 70:30 or 40:60)
</dd>
</dl></li>
<li><dl>
<dt>Cohort life table using age-specific improvement factors</dt>
-<dd>Class <code>mortalityTable.improvementFactors</code>
+<dd>
+Class <code>mortalityTable.improvementFactors</code>
</dd>
-<dd>Project base life table using age-specific improvement factors.
+<dd>
+Project base life table using age-specific improvement factors.
</dd>
</dl></li>
<li><dl>
<dt>Pension tables</dt>
-<dd>Class <code>pensionTable</code>
+<dd>
+Class <code>pensionTable</code>
</dd>
-<dd>Transition probabilities for a four-state pension model (active, invalid, retirement and death, with a possible widow in the event of death).
+<dd>
+Transition probabilities for a four-state pension model (active,
+invalid, retirement and death, with a possible widow in the event of
+death).
</dd>
</dl></li>
</ul>
</div>
-<div id="loading-the-mortalitytables-package" class="section level1">
-<h1><span class="header-section-number">2</span> Loading the MortalityTables package</h1>
-<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1"></a><span class="kw">library</span>(<span class="st">"MortalityTables"</span>)</span></code></pre></div>
+<div id="loading-the-mortalitytables-package" class="section level1" number="2">
+<h1><span class="header-section-number">2</span> Loading the
+MortalityTables package</h1>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a><span class="fu">library</span>(<span class="st">"MortalityTables"</span>)</span></code></pre></div>
</div>
-<div id="provided-data-sets" class="section level1">
+<div id="provided-data-sets" class="section level1" number="3">
<h1><span class="header-section-number">3</span> Provided Data Sets</h1>
-<p>The package provides several real-life life tables published by census bureaus and actuarial associations around the world. You can use the function <code>mortalityTables.list</code> to list all available datasets (if no argument is given) or all datasets that match the given pattern (wildcard character is *). You can then use <code>mortalityTables.load</code> to load either one single data set or all datasets that match the pattern.</p>
-<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1"></a><span class="co"># list all available data sets</span></span>
-<span id="cb3-2"><a href="#cb3-2"></a><span class="kw">mortalityTables.list</span>()</span>
-<span id="cb3-3"><a href="#cb3-3"></a><span class="co">#> [1] "Austria_Annuities" "Austria_Annuities_AVOe1996R" </span></span>
-<span id="cb3-4"><a href="#cb3-4"></a><span class="co">#> [3] "Austria_Annuities_AVOe2005R" "Austria_Annuities_EROMF" </span></span>
-<span id="cb3-5"><a href="#cb3-5"></a><span class="co">#> [5] "Austria_Annuities_RR67" "Austria_Census" </span></span>
-<span id="cb3-6"><a href="#cb3-6"></a><span class="co">#> [7] "Austria_Endowments_ADSt2426_2Lives" "Austria_PopulationForecast" </span></span>
-<span id="cb3-7"><a href="#cb3-7"></a><span class="co">#> [9] "Austria_PopulationMCMC" "Austria_PopulationObserved" </span></span>
-<span id="cb3-8"><a href="#cb3-8"></a><span class="co">#> [11] "Austria_VUGesamtbestand_2012-16" "Germany_Annuities" </span></span>
-<span id="cb3-9"><a href="#cb3-9"></a><span class="co">#> [13] "Germany_Annuities_DAV1994R" "Germany_Annuities_DAV2004R" </span></span>
-<span id="cb3-10"><a href="#cb3-10"></a><span class="co">#> [15] "Germany_Census" "Germany_Endowments" </span></span>
-<span id="cb3-11"><a href="#cb3-11"></a><span class="co">#> [17] "Germany_Endowments_DAV1994T" "Germany_Endowments_DAV2008T" </span></span>
-<span id="cb3-12"><a href="#cb3-12"></a><span class="co">#> [19] "USA_Annuities" "USA_Annuities_1971IAM" </span></span>
-<span id="cb3-13"><a href="#cb3-13"></a><span class="co">#> [21] "USA_Annuities_1983a" "USA_Annuities_1994GAR" </span></span>
-<span id="cb3-14"><a href="#cb3-14"></a><span class="co">#> [23] "USA_Annuities_2012IAM" "USA_Annuities_Annuity2000" </span></span>
-<span id="cb3-15"><a href="#cb3-15"></a><span class="co">#> [25] "Austria_PK-Bestand_2010-16"</span></span>
-<span id="cb3-16"><a href="#cb3-16"></a></span>
-<span id="cb3-17"><a href="#cb3-17"></a><span class="co"># list all datasets for Austria</span></span>
-<span id="cb3-18"><a href="#cb3-18"></a><span class="kw">mortalityTables.list</span>(<span class="st">"Austria_*"</span>)</span>
-<span id="cb3-19"><a href="#cb3-19"></a><span class="co">#> [1] "Austria_Annuities" "Austria_Annuities_AVOe1996R" </span></span>
-<span id="cb3-20"><a href="#cb3-20"></a><span class="co">#> [3] "Austria_Annuities_AVOe2005R" "Austria_Annuities_EROMF" </span></span>
-<span id="cb3-21"><a href="#cb3-21"></a><span class="co">#> [5] "Austria_Annuities_RR67" "Austria_Census" </span></span>
-<span id="cb3-22"><a href="#cb3-22"></a><span class="co">#> [7] "Austria_Endowments_ADSt2426_2Lives" "Austria_PopulationForecast" </span></span>
-<span id="cb3-23"><a href="#cb3-23"></a><span class="co">#> [9] "Austria_PopulationMCMC" "Austria_PopulationObserved" </span></span>
-<span id="cb3-24"><a href="#cb3-24"></a><span class="co">#> [11] "Austria_VUGesamtbestand_2012-16" "Austria_PK-Bestand_2010-16"</span></span>
-<span id="cb3-25"><a href="#cb3-25"></a></span>
-<span id="cb3-26"><a href="#cb3-26"></a><span class="co"># Load the German annuity table DAV 2004-R</span></span>
-<span id="cb3-27"><a href="#cb3-27"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Germany_Annuities_DAV2004R"</span>)</span>
-<span id="cb3-28"><a href="#cb3-28"></a></span>
-<span id="cb3-29"><a href="#cb3-29"></a><span class="co"># Load all Austrian annuity data sets</span></span>
-<span id="cb3-30"><a href="#cb3-30"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Austria_Annuities*"</span>)</span>
-<span id="cb3-31"><a href="#cb3-31"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Austria_Census"</span>)</span></code></pre></div>
-<p>In the next few sections we will always use some of the provided life tables for demonstration purposes.</p>
+<p>The package provides several real-life life tables published by
+census bureaus and actuarial associations around the world. You can use
+the function <code>mortalityTables.list</code> to list all available
+datasets (if no argument is given) or all datasets that match the given
+pattern (wildcard character is *). You can then use
+<code>mortalityTables.load</code> to load either one single data set or
+all datasets that match the pattern.</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a><span class="co"># list all available data sets</span></span>
+<span id="cb3-2"><a href="#cb3-2" tabindex="-1"></a><span class="fu">mortalityTables.list</span>()</span>
+<span id="cb3-3"><a href="#cb3-3" tabindex="-1"></a><span class="co">#> [1] "Austria_Annuities" "Austria_Annuities_AVOe1996R" </span></span>
+<span id="cb3-4"><a href="#cb3-4" tabindex="-1"></a><span class="co">#> [3] "Austria_Annuities_AVOe2005R" "Austria_Annuities_EROMF" </span></span>
+<span id="cb3-5"><a href="#cb3-5" tabindex="-1"></a><span class="co">#> [5] "Austria_Annuities_RR67" "Austria_Census" </span></span>
+<span id="cb3-6"><a href="#cb3-6" tabindex="-1"></a><span class="co">#> [7] "Austria_Endowments_ADSt2426_2Lives" "Austria_PopulationForecast" </span></span>
+<span id="cb3-7"><a href="#cb3-7" tabindex="-1"></a><span class="co">#> [9] "Austria_PopulationMCMC" "Austria_PopulationObserved" </span></span>
+<span id="cb3-8"><a href="#cb3-8" tabindex="-1"></a><span class="co">#> [11] "Austria_VUGesamtbestand_2012-16" "Germany_Annuities" </span></span>
+<span id="cb3-9"><a href="#cb3-9" tabindex="-1"></a><span class="co">#> [13] "Germany_Annuities_DAV1994R" "Germany_Annuities_DAV2004R" </span></span>
+<span id="cb3-10"><a href="#cb3-10" tabindex="-1"></a><span class="co">#> [15] "Germany_Census" "Germany_Endowments" </span></span>
+<span id="cb3-11"><a href="#cb3-11" tabindex="-1"></a><span class="co">#> [17] "Germany_Endowments_DAV1994T" "Germany_Endowments_DAV2008T" </span></span>
+<span id="cb3-12"><a href="#cb3-12" tabindex="-1"></a><span class="co">#> [19] "USA_Annuities" "USA_Annuities_1971IAM" </span></span>
+<span id="cb3-13"><a href="#cb3-13" tabindex="-1"></a><span class="co">#> [21] "USA_Annuities_1983a" "USA_Annuities_1994GAR" </span></span>
+<span id="cb3-14"><a href="#cb3-14" tabindex="-1"></a><span class="co">#> [23] "USA_Annuities_2012IAM" "USA_Annuities_Annuity2000"</span></span>
+<span id="cb3-15"><a href="#cb3-15" tabindex="-1"></a></span>
+<span id="cb3-16"><a href="#cb3-16" tabindex="-1"></a><span class="co"># list all datasets for Austria</span></span>
+<span id="cb3-17"><a href="#cb3-17" tabindex="-1"></a><span class="fu">mortalityTables.list</span>(<span class="st">"Austria_*"</span>)</span>
+<span id="cb3-18"><a href="#cb3-18" tabindex="-1"></a><span class="co">#> [1] "Austria_Annuities" "Austria_Annuities_AVOe1996R" </span></span>
+<span id="cb3-19"><a href="#cb3-19" tabindex="-1"></a><span class="co">#> [3] "Austria_Annuities_AVOe2005R" "Austria_Annuities_EROMF" </span></span>
+<span id="cb3-20"><a href="#cb3-20" tabindex="-1"></a><span class="co">#> [5] "Austria_Annuities_RR67" "Austria_Census" </span></span>
+<span id="cb3-21"><a href="#cb3-21" tabindex="-1"></a><span class="co">#> [7] "Austria_Endowments_ADSt2426_2Lives" "Austria_PopulationForecast" </span></span>
+<span id="cb3-22"><a href="#cb3-22" tabindex="-1"></a><span class="co">#> [9] "Austria_PopulationMCMC" "Austria_PopulationObserved" </span></span>
+<span id="cb3-23"><a href="#cb3-23" tabindex="-1"></a><span class="co">#> [11] "Austria_VUGesamtbestand_2012-16"</span></span>
+<span id="cb3-24"><a href="#cb3-24" tabindex="-1"></a></span>
+<span id="cb3-25"><a href="#cb3-25" tabindex="-1"></a><span class="co"># Load the German annuity table DAV 2004-R</span></span>
+<span id="cb3-26"><a href="#cb3-26" tabindex="-1"></a><span class="fu">mortalityTables.load</span>(<span class="st">"Germany_Annuities_DAV2004R"</span>)</span>
+<span id="cb3-27"><a href="#cb3-27" tabindex="-1"></a></span>
+<span id="cb3-28"><a href="#cb3-28" tabindex="-1"></a><span class="co"># Load all Austrian annuity data sets</span></span>
+<span id="cb3-29"><a href="#cb3-29" tabindex="-1"></a><span class="fu">mortalityTables.load</span>(<span class="st">"Austria_Annuities*"</span>)</span>
+<span id="cb3-30"><a href="#cb3-30" tabindex="-1"></a><span class="fu">mortalityTables.load</span>(<span class="st">"Austria_Census"</span>)</span></code></pre></div>
+<p>In the next few sections we will always use some of the provided life
+tables for demonstration purposes.</p>
</div>
-<div id="working-with-life-table-objects" class="section level1">
-<h1><span class="header-section-number">4</span> Working with life table objects</h1>
-<div id="plotting-life-tables" class="section level2">
-<h2><span class="header-section-number">4.1</span> Plotting life tables</h2>
+<div id="working-with-life-table-objects" class="section level1" number="4">
+<h1><span class="header-section-number">4</span> Working with life table
+objects</h1>
+<div id="plotting-life-tables" class="section level2" number="4.1">
+<h2><span class="header-section-number">4.1</span> Plotting life
+tables</h2>
<p>The package provides several functions to plot lifetables:</p>
<ul>
<li><dl>
<dt><code>plotMortalityTables(table1, table2, ...)</code></dt>
-<dd>A log-linear plot comparing all given life tables.
+<dd>
+A log-linear plot comparing all given life tables.
</dd>
</dl></li>
<li><dl>
<dt><code>plotMortalityTableComparisons(table1, table2, ..., reference=reftable)</code></dt>
-<dd>Plot the given life tables as percentages relative to the reference table
+<dd>
+Plot the given life tables as percentages relative to the reference
+table
</dd>
</dl></li>
<li><dl>
<dt><code>plotMortalityTrend(table1, table2, ..., YOB, Period)</code></dt>
-<dd>Plot the yearly mortality improvement factors (for either the given observation year <code>Period</code> or the birth-year <code>YOB</code>)
+<dd>
+Plot the yearly mortality improvement factors (for either the given
+observation year <code>Period</code> or the birth-year <code>YOB</code>)
</dd>
</dl></li>
</ul>
-<p>These functionalities are also combined into the S3 plot function for the mortalityTable class, so you can usually just call plot on the mortality tables. If the <code>trend = TRUE</code> argument is given, <code>plotMortalityTrend</code> is used, if the <code>reference</code> argument is given, <code>plotMortalityTableComparisons</code> is used, otherwise <code>plotMortalityTables</code> is called.</p>
-<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1"></a><span class="co"># Log-linear plot comparing some Austrian census tables</span></span>
-<span id="cb4-2"><a href="#cb4-2"></a><span class="kw">plot</span>(mort.AT.census.<span class="fl">1951.</span>male, mort.AT.census.<span class="fl">1991.</span>male, </span>
-<span id="cb4-3"><a href="#cb4-3"></a> mort.AT.census.<span class="fl">2001.</span>male, mort.AT.census.<span class="fl">2011.</span>male, </span>
-<span id="cb4-4"><a href="#cb4-4"></a> <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</span></code></pre></div>
+<p>These functionalities are also combined into the S3 plot function for
+the mortalityTable class, so you can usually just call plot on the
+mortality tables. If the <code>trend = TRUE</code> argument is given,
+<code>plotMortalityTrend</code> is used, if the <code>reference</code>
+argument is given, <code>plotMortalityTableComparisons</code> is used,
+otherwise <code>plotMortalityTables</code> is called.</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" tabindex="-1"></a><span class="co"># Log-linear plot comparing some Austrian census tables</span></span>
+<span id="cb4-2"><a href="#cb4-2" tabindex="-1"></a><span class="fu">plot</span>(mort.AT.census.<span class="fl">1951.</span>male, mort.AT.census.<span class="fl">1991.</span>male, </span>
+<span id="cb4-3"><a href="#cb4-3" tabindex="-1"></a> mort.AT.census.<span class="fl">2001.</span>male, mort.AT.census.<span class="fl">2011.</span>male, </span>
+<span id="cb4-4"><a href="#cb4-4" tabindex="-1"></a> <span class="at">legend.position =</span> <span class="fu">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</span></code></pre></div>
<p><img 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" /><!-- --></p>
-<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1"></a></span>
-<span id="cb5-2"><a href="#cb5-2"></a><span class="co"># Relative death probabilities in percentage of the latest census</span></span>
-<span id="cb5-3"><a href="#cb5-3"></a><span class="kw">plot</span>(mort.AT.census.<span class="fl">1951.</span>male, mort.AT.census.<span class="fl">1991.</span>male, </span>
-<span id="cb5-4"><a href="#cb5-4"></a> mort.AT.census.<span class="fl">2001.</span>male, </span>
-<span id="cb5-5"><a href="#cb5-5"></a> <span class="dt">reference =</span> mort.AT.census.<span class="fl">2011.</span>male, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="fl">0.75</span>), <span class="dt">ylim =</span> <span class="kw">c</span>(<span class="dv">0</span>,<span class="dv">4</span>))</span>
-<span id="cb5-6"><a href="#cb5-6"></a><span class="co">#> Warning in normalize_deathProbabilities(if (is.data.frame(t@data$dim)</span></span>
-<span id="cb5-7"><a href="#cb5-7"></a><span class="co">#> || : Reference mortality table does not contain ages</span></span>
-<span id="cb5-8"><a href="#cb5-8"></a><span class="co">#> 101102103104105106107108109110111112 required for normalization. These ages will</span></span>
-<span id="cb5-9"><a href="#cb5-9"></a><span class="co">#> not be normalized!</span></span></code></pre></div>
-<p><img 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" /><!-- --></p>
-<p>For cohort life tables, the plot functions also take either the <code>YOB</code> or the <code>Period</code> parameter to plot either the cohort death probabilities for the given birth year or the period death probabilities for the given observation year.</p>
-<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1"></a><span class="co"># Comparison of two Austrian annuity tables for birth year 1977</span></span>
-<span id="cb6-2"><a href="#cb6-2"></a><span class="kw">plot</span>(AVOe1996R.male, AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>, <span class="dt">title =</span> <span class="st">"Comparison for YOB=1977"</span>)</span></code></pre></div>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" tabindex="-1"></a></span>
+<span id="cb5-2"><a href="#cb5-2" tabindex="-1"></a><span class="co"># Relative death probabilities in percentage of the latest census</span></span>
+<span id="cb5-3"><a href="#cb5-3" tabindex="-1"></a><span class="fu">plot</span>(mort.AT.census.<span class="fl">1951.</span>male, mort.AT.census.<span class="fl">1991.</span>male, </span>
+<span id="cb5-4"><a href="#cb5-4" tabindex="-1"></a> mort.AT.census.<span class="fl">2001.</span>male, </span>
+<span id="cb5-5"><a href="#cb5-5" tabindex="-1"></a> <span class="at">reference =</span> mort.AT.census.<span class="fl">2011.</span>male, <span class="at">legend.position =</span> <span class="fu">c</span>(<span class="dv">1</span>,<span class="fl">0.75</span>), <span class="at">ylim =</span> <span class="fu">c</span>(<span class="dv">0</span>,<span class="dv">4</span>))</span>
+<span id="cb5-6"><a href="#cb5-6" tabindex="-1"></a><span class="co">#> Warning in normalize_deathProbabilities(if (is.data.frame(t@data$dim) || :</span></span>
+<span id="cb5-7"><a href="#cb5-7" tabindex="-1"></a><span class="co">#> Reference mortality table does not contain ages</span></span>
+<span id="cb5-8"><a href="#cb5-8" tabindex="-1"></a><span class="co">#> 101102103104105106107108109110111112 required for normalization. These ages</span></span>
+<span id="cb5-9"><a href="#cb5-9" tabindex="-1"></a><span class="co">#> will not be normalized!</span></span></code></pre></div>
+<p><img 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" /><!-- --></p>
+<p>For cohort life tables, the plot functions also take either the
+<code>YOB</code> or the <code>Period</code> parameter to plot either the
+cohort death probabilities for the given birth year or the period death
+probabilities for the given observation year.</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" tabindex="-1"></a><span class="co"># Comparison of two Austrian annuity tables for birth year 1977</span></span>
+<span id="cb6-2"><a href="#cb6-2" tabindex="-1"></a><span class="fu">plot</span>(AVOe1996R.male, AVOe2005R.male, <span class="at">YOB =</span> <span class="dv">1977</span>, <span class="at">title =</span> <span class="st">"Comparison for YOB=1977"</span>)</span></code></pre></div>
<p><img 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FNyAEzQc0tThEcHZaYJMf3HLgp4cKNfGWUHuql4ExbpfhnuRQBA3uqzUjfb87d3Tm3uY2aoWibgmff/yPqvcks32QHxaDrrSIH02DfZUfXRd54qteoZ/2e/u/TfJ4u3j6hBAJiIKX+YuTXQcilCCNmfs52iBwAg3i1n7P739OoPRndtUivAU6Hw8A1v2GHImwsPnT8yr1uQ4b+0W5Npv57Z/82rvZtH+nsoFJ6BMW0GTF98+MzGsY97nlnWfM4v62f1bhjs6RXSsOPgN5f/ufe91h4AbIMZW3Z+MqxNdIC3f+2WvV5b/NeZpQNDGQApe/OCNRkWB20p4d3hsz+OJrw7vEuTSH8PBStzq1GzYedR/9t6bPPEWNamQRnZoQkDWa1+C078e+DH6YOfqV/Tz0Oh8PSPaNxl+Oxlxy798XGXIIsbJiGs0ju4TrtBby4/8ue8jj4ESNirZUecM5DyHnH4DgAAXs98eujwkql929QL83b3CoqNH/bBphO7pjcyflK8k5JWTAHY4NDgsp2zXIoQQg7gfGPROwz3x+SY7ovvSG4D16t+Ge7l6O4ghBBCFuDRBkIIIeSCMMEjhBBCLsjp7qJ3HDYsfuhYbZ4kbxlT7j1fCCGEUPWA1+ARQgghF4Sn6BFCCCEXhAkeIYQQckGY4BFCCCEXhAkeIYQQckGY4BFCCCEXhAkeIYQQckHO9Bx8cnLypUuXqrBCURQppTKZzPiWZUvm/qaUSpJkfCtJEiHEOFW8IAjGT1koKhnun2EeWSSKIsMwxkpMe2K5aQCwsn67hSZJkiRJpmvVuUKrUNPG0CrUtJX1W79WnTo0B+4LkiSJoiiXy62pH3dzK0Or0Fp1VGjVdl8wrd/6tRoUFNShQwcow5kS/MmTJ/V6fUxMTFVVqNPpRFH09CyZ8Fur1bq5uRm/SL1e7+bmZijS6/Vyudz4lWi1Wnd3d8NrnucJIcZvyLRIEARKqfErMS2SJInneaVSaeyJUqk0Nq3T6YxL6vV6mUxm/MpLNQ0AZusXRVEQBGP9lQuN4ziGYSoaml6v53ney8vLdqGJoqhQKMyuVY7jrAyNZVmzTVsIzfJatWloer2e4zhvb2/jWlUoFBUNrdIbjPWhWdgXJEkq71uzcl+o8tA4jtPr9ca1WunQnsDdvFTTpqHxPK/T6axcqxZCK7UvGENz4d281AZjGpphrXp5eRk3XWNokiRt2bLFbIJ3puliExISEhMTq7BCtVqdm5trfFtYWChJJfOHiqKoVquNRRqNxrBBGBQUFBhfa7VavV5vtkiv12u1WrNFgiBoNBrTnhhOJ1BKJUkqLCw0FhUVFXEcZ7YSnU6n0+nMFnEcV1RU9JihFRcXVyI0jUaTk5NjZWg8z5utxHJoxcXFZosEQbA+tPLWqoXQeJ4vtVYrEZpWq61EaEVFRdnZ2ca3arW6EqHpdDrrQzPdYKwPzcIGY+Fbs7AvWB9aeWvVQmjFxcWma1Wj0VQutCdwN+d5vrzQtFqtSqUyDa1KdnNjaC68m5faYExD0+l0KpXKdNM1hiYIwtSpU6k5eA0eIYQQckGY4BFCCCEXhAkeIYQQckGY4BFCCCEXhAkeIYQQckGY4BFCCCEXhAkeIYQQckGY4BFCCCEXhAkeIYQQckGY4BFCCCEXVI3Goqfqfzcu3nGTIz7xL7/aNZx1dH8QQggh51V9juBp1uFdqg5vznl3bOjJXRc5R3cHIYQQcmbVJ8GLd+9IkVFuwIRGB+TdyaeO7g9CCCHkxOx2ip5PP31WfCq+dsk8eDTv3PqFKw9dK1BGxg+fMqFjTRlQClAyuS2VML8jhBBCj8FOR/D69N9XLv4tWVeSt2nR6YQfT4WM+27lT281v/3zTweyKLA1w9k7GRzQ7PR8vwg/Yp+OIYQQQi6JUGrjg2WadeibuQln7qvFppN//qhHDQIA3JnvJ2yP+eqzfiEEio99Men3Zgv+18tXc3Hjst9UhMqbjHylW8lNdjk5OdOnTzfUpNVq09LSLHSYEDJ16tSBAwda2TXDLL8ymcz4lmX/u7dPkiSGYYyvCSGEkLJLWigqmZH3QSUWikzbqlD9hqgr1LStQ5MkSZIk41q1Z2hl16pNv7VSa9XK+qtqrbpMaA7cF+y8Vl1pN7cQGqVUFEVr1mp12c0FXtIUMb6+1qzVx98XducX9PD2Ujx4+8jQrl69Om3aNMPE8MYKTV8DQEBAwMGDB6EM25+iJ8Fd31rUlT/z3bi9D/5Ec+/eZ2p2DCAAAMqaEf6qu5kS+Hk3HT6zaalPy+XyBg0aGF6npKTUrVvX09PTQmthYWHGDeuRKKWmu7dpsjesaONbQRBYljWuUNNPiaJICDH9Sky3bEqp6VduWr/pPsDzvGn9pZpmGMZs/aIoAoDZ+kv956pcaBaathAaz/OEELuFVipMQRBsF1rZtWq30ARBKLWSZTJZRUOrqg3GQv0W9gUL35qFfcGmoRn+aT5+aE/gbl6qadPQRFE0jbr67+bMjRR242ph8kwaEGh2rVbhtzb/ftb7GfeWRkUMDwowG1qpVceyrK+vb7NmzURRlCTJ7G8jSmlubi6YRe2DO/3tqI9+y5copZSKNzfOeGXZZcHw5u4vs8YtOs8/uo6EhITExMQq7JRarc7NzTW+LSwsNHzrlFJRFNVqtbFIo9EY/hcYFBQUGF9rtVq9Xm+2SK/Xa7Vas0WCIGg0GtOeGE4nUEolSSosLDQWFRUVcRxnthKdTqfT6cwWcRxXVFT0mKEVFxdXIjSNRpOTk2NlaDzPm63EcmjFxcVmiwRBsD608taqhdB4ni+1VisRmlarrURoRUVF2dnZxrdqtboSoel0OutDM91grA/NwgZj4VuzsC9YH1p5a9VCaMXFxaZrVaPRVC60J3A353m+vNC0Wq1KpTINrUp2c2NoVb6b89s3az9+jz6o33a7+YKMu/DnsdevXbdyXzANTafTqVQq003XGJogCFOnTqXmOOQueqJUKjhdyQV5qtVyCqUSr7kjhBCyOyn5Cq0TB8S2Sejne5lvXE8bHxbyTXSUTRsy5ZCBboh/zVDp73v5FAIJcJn38oIahVjxS+PevXs3b948e/YsAISEhPTv39/WHUUIIeTCaHYWzcmWOne3aSvrc/Km3Mp4OSxkWb06As9XSZ2nT59OSkoCAEqpSqUyu4xjRrKTN4pvvnTz76ldh0fnHzlwJSp+tK8VP56Sk5O3bt2qVqsBIDIysl+/fsTGv7kQQgi5MOnaFWAYKSqmCusUKU0q1l4s1ibpuQtFRRc0RZkcPyokaFlcnSrMWAsWLNiyZQsAEELi4+PNLuOYBE8820x4M/2HhTNf08mC2rwyvWewNWF36tTp9ddfb9Gihc37hxBC6AkgJV9hImtTd/fHrOe2Tn8or+CSKuesWvOPukgjigAQqlA08/IYExrckGVHRUYwVXpAum7dus2bNwOAKIozZswwu4y9Ery8zYw1bUzeE68Gg+d8N9hOrSOEEEKlCLyUmiJ7tkclPipRuFisPZ2Td0qtOVZQmKHnAKCmUtHK2+vtyPBmSkULL68Ir5JnvgoLC1lHnG+uRpPNIIQQQnYjpaUCzzH1Glj/kWSd/nSh5o/8gsP5BTm8ICOkmZfnoKCA9j4+TRlSP7Dk4TedTlcdriA7U4JPS0s7efKkr68vAISFhb3xxhuO7hFCCCFnJSVfIZ5epGYEqNUWFtOI4p+5+fty8/bn5t3S6VlCmnt5jg8Lae/u3tHf11dZMgB7YWGhXXpd4tdff/37778BgFKakZFhdhlnSvAqlerw4cM8zwNAeHj4tGnTqsNPJIQQQs5IupbE1GtQ3gNyGXpuR3bOL5mq4xoNJ9FIN2Uvf7/O7sreYaG+MhkAFBcXK0wGubOzI0eO7Nmzx/A6MjLS7DLOlODbtm07YcIEvMkOIYTQ4yrIp1mZ5Nmepf6cotNtzlTtzi88q9YwhLTz8vikduRzAf6NPD0Mg894Wz1Yqk198803CxYsgGpxkx1CCCFUfVy/CoQwdesZ3mXouc1Z2RuyVGfVGjeG6epXY1m9Ov0C/d10Ok9PT9NJBJwIJniEEEJPnpRrJCJS9PTarspecCvjhKaIJaS7v+/KuJjnfLyDvbwMS6l1Osd283FggkcIIfSEEcW8jIyV8Z1/OpWYrte38vRYGBc7JCgwQC4TBIHjOEf3r2o402mHI0eOdO7c2TAHX3h4OLX1RLcIIYRczkVN0Wv/Xo6N7/4/mVsHX5/TLZodqhf7as3QALkzHfEOGzbMkA3lcnliYqLZZZwpnri4uDfffDMsLAwAatasibfQI4QQspJI6TZVzo937h3OLwgWhenpaVNfHB7m5gZ2f8KtSsyaNatXr14AQCk9fPiw2WWcKcGHhYU1adIE76JHCCFkvUJBXJaeMT89I12ClpqCn9OuvJB9XxHf0c3NzdFdq7xWrVoZhqAXRfHy5ctml3GmBI8QQghZ755K9WNq6lKeaggzMDNjbe79p2uGMz17CxFRkuMeYbcbTPAIIYRci0539dzZz+9mbfQPkkt0TGHODP8aIW1be0fHlizAcSBJDu2iPWCCRwgh5CLInYyLhy5/ppe2hoT7+ga+q5S93rhxgI83OOeF9sfkTAk+KSlp27Zthqsm0dHRX3zxhaN7hBBCqFqghQXndu/8mFX+GhweAvBFeOiYmqE1lEq5XO7ortnEypUrDx48aHhdVFRkdhlnSvBarfbu3buG16IoUkrxRnqEEHrSUZp08sTc9IxtYTE1CVlQJ3p8zVA3htFqtY7umQ1lZGSkpaUZXvv5+ZldxpkSfMuWLceOHYt30SOEEDK4nZU17+LFdT4BQYGh30ZFjPD3DfL1dXSn7OGDDz74v//7P8Cx6BFCCLmYPI779MSpHyXi5enziY/71Kee8mTZJ/BCuwWY4BFCCDkTTqLfJ1355F5mMTBv6Avf6dDJz9vL0Z2qjjDBI4QQchq7VDlvJV29QZgR+TmfNGscGNbSqcersSlM8AghhJxAilb3xqWkvUXajvm5G9xlrfv1A7m8vBvIEThXghcEQa1W5+Xllfq7p6enQqFwSJcQQgjZmlaSvrlx68vbd3z1uhV3bw5r394zrr6jO+UAkiQZbjLQ6XQsyxqeABRFURAEs8s7U4I/fvz4jBkz1Gp1qb8/99xze/bscUiXEEII2dS+3LxJl6/eF8Rpt669HxbqPWKUlucd3SnHmDdv3vvvv1/qj4QQw6D0ZTlTgm/YsOHcuXNr1apV6u+NGzd2SH8QQgjZTjbPT7+eui4rp0Oeak/m7cZ9B5LwWqIowpOa4CdMmFCvXj1KKcdxLMuyLAsAkiTt3r3b7PLOlOCDgoJwNjmEEHoS/JKbNyPtNsfpv75+6ZWIcK8Jk4nMmRKWLQQHBw8ePBgAtFqtTCYznqI/fvy42eWf9PWFEEKoWrnPcROuXN+Tl9836+4PWbcjBw5Ve9eAJ2DytyqHCR4hhFB1sT07Z9KV6yKnW3spcViD+rIXpgPLAg5fUymY4BFCCDmeWpRmXUtZei+za07msjtpYc/3l8XWdXSnnBsmeIQQQg52ulA99PKVbJ6ff+X8a6HBMOE1gTCO7pTTwwSPEELIYSjA/PQ7s9NuNC4o2HPzSsN+g5jaMTzPQznPdiPrYYJHCCHkGIWCOCXp3y0FhSPu3F4gkwJenQY4alnVcaYEf/r06c8//5zneQCIjIz8448/cD54hBByUomaopGXruYK/PrrF4d17KyJiMLsbr1Zs2bt2rXL8DoyMtLsMs6U4IOCgjp37uzr6wsAISEhmN0RQshJrU5Pn5Ryq746f19xfr2XxhEPT7xVvkLat29vmGWHUnr9+nWzyzhTgo+Jienfvz8OdIMQQs5LpPTdf859qdYOUd1dUruWX5vnHd0jpzRgwIAhQ4YAgCiKM2bMMLuMMyV4hBBCTk3D6Uf9mbibyD/IvvNuhw7EP8DRPXJlmOARQgjZw/Xbt59PunZfLt9BuH4vDNE/qUPK2w0meIQQQjZG6anjx/ppeS9CTkRHNqjDwUsAACAASURBVIqJcXSHngg4kgBCCCEbokWafZs39NBJkQAHnmqC2d1u8AgeIYSQrZC066tOnpwc26ijUv5L29ZQXOToHj1BMMEjhBCyAVEUft8z7869/6vbZKy/79ImDeWE4JNw9oQJHiGEUBWj+XnChlVz3Ly/qdN4dnjY53VjcNwS+yOUUkf3wVorVqyIi4tr2rRpVVUoiiKlVCaTGd+yJlMOm761UCRJEgAwDFOhIuvrF0WREFLR+imlkiRZWT/DMMZRg6xsmlJKKTVbJIqiJElyudya+ssrslB/qSJBEIzfYNmoy6tfkiRCyOM3zbJsReu3/K2VF5rltWq6ZJU0XapIFEUr669c0+Vtq1XStIX6JUmSJMl0JVdig6mq3dC5dnML+5okSeTqZeVvu2fXbfxDePQ7IUGzw4KrcF9z4d28VJFp/ZRSQRCM/wFMi0RR/Oijj3744QcoizqPhISExMTEKqxQrVbn5uYa3xYWFkqSZHgtiqJarTYWaTQaQRCMbwsKCoyvtVqtXq83W6TX67VardkiQRA0Go1pTwy/NiilkiQVFhYai4qKijiOM1uJTqfT6XRmiziOKyoqeszQiouLKxGaRqPJycmxMjSe5ysRWnFxsdkiQRCsD628tWohNJ7nS63VSoSm1WorEVpRUVF2drbxrVqtrkRoOp3O+tBMNxjrQ7OwwVj41izsC9aHVt5atRBacXGx6VrVaDSVC+0J3M15njcfGs/rtm7Qzp42ZedO+PPYJzfTq2o3N4bmwrt5qQ3GNDSdTqdSqUw3XWNogiBMnTqVmuNMd9EfP368b9++/v7+/v7+jRs3ps5z7gEhhFwezc3hFn9P/zkztXv/RT4B39eJfi8qwtGdclkTJ040ZMPg4ODz58+bXcaZrsFHRkYOHz48KCgIAGrWrIlj0SOEUDVBr1zit6wnCsWcgaN+1mh/iot9pWaoozvlykaMGNGgQQMAoJT+888/ZpdxpgRfq1at5557DseiRwihakQU2QN7hdPHmXoNd3bvOz/lxpyQIMzuttalS5cePXoAjkWPEELIFmhhgbBuJXP7JtuzT1qbZyacu9jbz/eNQH9H9wsBYIJHCCFUOdKNFGFdAkiSMHws16DRoPOX/GSyZbG1GZ3W0V1DAJjgEUIIVRilzOnj/MF9JCxcPmocJ1dMvn4jVas73ryJv4zVOLp3yAATPEIIoYrg9NKmtcylC2z7TrI+A4BlF6XeWJul+rl+3RbeXjqdztH9QyUwwSOEELIWzcnmVy+nOdnSoGHKtu0B4Eyh5oM7914JC3k5NNjRvUMPwQSPEELIKlLyFX79KqJUshOnCIHBAJAvCC8mXaurVH4bW9vRvUOlYYJHCCH0aOzJv/jDB5noOrKRL4tKJej1ADA5OU3F80ca1HVnnGnYtCcEJniEEEIWCbywdaPs3N/sM51lfQYAw4AgAMDCO/c2ZKnWNIiLc1M6uovIDEzwCCGEykWLioQ1y6XbN/nnByo7dDH+/bJWNyv15oSwkFEhQRoN3jhfHWGCRwghVI779/iNq0Cvl0+YrA8MMf5ZI4qjU27EuLvNrxPjwN4hyzDBI4QQMufKJbJ1PfgHyidNI37+UFhoLHkj9WYGz59p0tCDxUvv1RcmeIQQQqWJxw7T3dshroFi5MugfOgS+6/Zuauzsr+vXauRp4ejuoesgQkeIYSQCUkSdv8iHv+LtGon9RlQKrtn8/yk5NSuvjXGBwU4qoPISs6U4LVa7d27d319fQHA29vbMG8sQgihqkJ4nl+zQrpyie3WW+rUFSSp1AKTk9O0kri0TjRO1+1YarU6Pz8fACRJ0uv1ZpdxpgR/5syZt99+W61WA4Cvr29ubi5OCY8QQlWFatSyNculbJV81HimcVOO40otsDZTtUWVvaZBXKSbsrykguxj5MiR+/fvBwBCSHx8vNllnCnBN23aND4+Pjo6GgBCQkIwuyOEUFWhOSp++SJGr5e/MpWJjCq7wD2OfyMlrX+g/6iQIEEQ7N9DZGrRokWpqakAIEnS+vXrzS7jTAnez8+vSZMmLVq0cHRHEELIpdCM2/zKJaBQcC9NUJrL7hRgyu0MGSHL6tWxf/dQWREREYbDXVEUd+/ebXYZZ0rwCCGEql5aCrchgfj6y8e/pgPzZ0ZX3886VKj5pXH9ILnczr1DlYYJHiGEnmAX/qG/bmVi6spHjwel0vRhd6NcXpiVerOvb42BgXjnvDPBBI8QQk8o8eifzJ4d0KS5/MXRwLLlLfZW6g2dJH1Zq6Y9+4YeHyZ4hBB6EomHDwr7fqWt45m+gyxk96MFhQn3s76rE11TjvnCyeAXhhBCTxhJErZvFk8dYzt34zt3h/KfSOIk+mpyalMvzynhYcVqtT37iB4fJniEEHqSiKJsx2bx6mVZ/8Hs0x15rdbCst/eu3+1qPhEi6YyfCzZCWGCRwihJwbP8WtWsCnJ8hdHM0+1srxsqk7/5Z37r0eEtfXxtk/vUNXCBI8QQk8GTs8nLJNupfEDhikfld0BYFraTT8Z+3FtM4/FI6eACR4hhJ4AxcX86qXS/XvysZP0IWGPXHxdpupgfuGmerE+snLvv0PVHCZ4hBBydRq1sG4lFBbIJ0xhoqLNPuxuqkAQZ6Xe7OVXo5+fr306iGwBEzxCCLkympsjW/kTEQT5q2+Q0EcfuwPA22k3C0RhQUxtG3cN2RYmeIQQcllUlckv+xEIw7wylQSHWPOR04Xq5XfvfxUbHaVUSGWmi0VOBBM8Qgi5Jno3g1++CDw8hBEvywICrfmIQOmk62mNvTynRoRRnrd1D5FNYYJHCCEXRO5m8BtWgbePfMJknrX2X/38zOx/NUXHWzSVE1J6NnjkbBhHdwAhhFAVoynJ7OplJDBI8dobxKeGlZ9K1eq+up81JTysHT747hLwCB4hhFyKdPmisD4BIiLl418DhdLKT1GAV5JT/Fjmk2h88N1FYIJHCCHXIZ0/y29eR+rU4wcOsz67A8DP9zL/yCtYHxOFD767DEzwCCHkIsRTx8SdW5lmLdjBIzi93voP3ue4Wak3hwUH9vH1sV33kJ1hgkcIIVfAHv1TPHKQbfeMbMAQidIKfXba9RuEwPw6MaCzNPcMci54kx1CCDk5SoXd29kjB9nO3WQDhliY/tWsfXkFW1TZ38RGhyjkNuogcohqluCF2zsW/3ILR1ZACCErSZKwbaN47LD4bE+2V9+KZvdCQZySeqOLb40xocE26iBylGp0ip7m/bN5xcaD955qWrFzSwgh9KQSBH59gnT5omzQMK5Bk0pU8H76nTxRXF6vDs737nqqUYInfi2GzfDSf5no6I4ghJAz4PTMhlXSrTT58DFM0+agVle0gj/yClZkZc+rXSvG3c0WHUSO5fAEL94+vHZ/shjTbUy3GHw2AyGErEI1amnFYpKtko97jakTV4kaikTxleSUNl6eU8OsGqMeOR1bJ3g+/fRZ8an42iVPY9K8c+sXrjx0rUAZGT98yoSONWVsZOcxr3S2cS8QQsiF0JxsfsUioteLYyZWLrsDwJupN+/ouc2N6rEVvGyPnIVtE7w+/feVi/9uN79dbSUBAFp0OuHHUyFTv3unXvaOjz/+6UD9//UOtrxlFRUVbd261fD6n3/+OX/+/N69ey0s37dv37g4azd3QRAopVptyWMhoihqtVpCCABQSg1vjUvqdDqGKbknUZIk0yJCiCiKZYtEUaSU0gfPq5gWSZIkCILpkjqdrrymDQubbdrwF7NNl3pbidB4nhdFsaKhlV2rFkKjlPIPJrSoUGjGL7HUWq1QaGbXquVvzbR+e4bG83zZtVrR0Ax/tDI0CxuMhdAs7AsWvjUL+0KFQjO7Vi2EZoiiVCWVCM3Ou7nu1g2yZgWwrDBmoujrD5Xazffdz1p69/4XURF15DKO46owNEOHbbEvGOp34d281Fo1hKZWqxMSEjiOEwRBoVAYlySEGHt17949MMdmCZ5mHfpmbsKZ+2qxabsHf+MvnzoX3P2rZjVkpMZzzzXY+fs/+b16+ZlmeDbupTkPpeeioqJVq1YZXru7u587d84YvFkymSwiIsLaPlIKAMXFxca3xq3c8Na4ZZi+LrUkpZSY/P4tWwnHcbarHwAs1G/c8uwZWtm16jKhPbJpa+o3FFW0/qpaq3YIzULTNv3WoLIbjK3XatWGxty6ATs2ST41tINHUU9vynGVWKuFgvhK2s1WHu5jvD05jqvy0ODhbRV388cJ7fz581999ZWFeXsJIY0bNzZfRq3HnVzx9f5bupJ3UuHljR/8+Bdn+SOnvx310W/5kuET97bPHrMgkaeUUiqkrp326oorQgXaT0hISExMrMAHHkWtVufm5hrfFhYWSpKhq1QURbVabSzSaDSGH2sGBQUFxtdarVav15st0uv1Wq3WbJEgCBqNxrQnxl+UkiQVFhYai4qKijiOM1uJTqfT6XRmiziOKyoqeszQiouLKxGaRqPJycmxMjTDgWlFQysuLjZbJAiC9aGVt1YthMbzfKm1WonQtFptJUIrKirKzs42vlWr1ZUITafTWR+a6QZjfWgWNhgL35qFfcH60MpbqxZCKy4uNl2rGo2mcqHZbTcXzyfq5kznliyg2mL6GLv5mIuXPf46kVxcTCu7m/M8X15oWq1WpVKZhlYlu7kxNBfezUttMKah6XQ6lUpluukaQxMEYerUqdScijwHz9aOEX4e2mXUd0eSL2ye3fuZcfsCm9evwCkAqtdzSnc3ww8e4u6h5PR6fCIOIYSsIB79k9+wSoxrIB/3Gri5V7qe33PzV+fkfRodVde98pUgp1CRU/RMaOfZG3c3n9apd4NZyvafHPrjnRYeFWmLKJUKTqUz5HSq1XIKpbIi93Zotdq7d+/6+voCQEBAQI0a1s6BiBBCToxS4cA+8eA+tn1HfafuIKv8pdUCQZxwLSXey3NaeM0q7CCyP71en56eDgCSJOnLmXegIkfw0u3ds3t3+1/xlEM3r23o+fekbi/NP6GqwCE48a8ZKt27l08BALjMe3lBNUMq0v6ZM2dGjBgRGxsbGxsbExNTgU8ihJCTEkXYtlE8tJ/t1lvWb3BFB6or5Y2UtByB/zEqnMEb553csGHDDNkwLi7u0qVLZpepyC9BMUsd8/7+T58JlQHAe9s6Dt3xzaFrwtNBVo9eLG8U33zp5t9Tuw6Pzj9y4EpU/GjfimxkDRs2nDt3bq1atQAgPDy8Ap9ECCFnpNfD2hVwM002dBTbovVjVrY7J3fV/ayFdWNilRWYRhZVT19++eXYsWMBQJKk3bt3m13GYoKXsi799W+myQ2PwXXg8pFDlx+89Xn22cYV+YVAPNtMeDP9h4UzX9PJgtq8Mr3nI56RKyUoKKhJkyYtWrSoyIcQQsgpUY2a//knUGXByJfZRk0fs7Z8QXg1OfVZvxqvhYepCwurpIfIgeLi4ho1agQAoigeP37c7DIW87NwfuWM8csuZqglIIyMJaIgUsIq3N0VhjPrbPTU/YmftbNwBC9vM2NNG5P3xKvB4DnfDa5oJAgh9EShuTn8isW0WANjJkKtqMevcErKDbUo/lyvLp6bf3JYTPCKLi+/WCuhOP6bHz4e26muHylI+WvVB9MX0Xd+Xz+qtv3HlVWr1cnJyZRSAPDz88PL8Aghl0Sy7vOb1gDLKibP5Hyq4G7i3XkFm1Q5y+vViXLDk/MuIjMzMzMzEwAkSTKOOlCKxQTPn131c/qg+Qdm9vAEAAC/ut2m//ztlQbTFp198cu2dh/G/p9//tm6datarQaAGjVq5OXlERxhESHkWqSUZPmqpRAYJB/3GvH2gXJukLZeFse/fjO9l5/vOBxz3oVMmDDht99+AwBCSHx8vNllLF+Dz87Mdgv2UZj+TVHD1111N1N0wDw1LVq06NGjR926dQEgMDAQsztCyMVIly7wG1ZBeC3FuFcf52F3U1Oup/KULq4bjf8xXUlCQsKdO3cAQJKkJUuWmF3GYpaWN4tvnvl/n/80au2Up2owACAVXFz6+dr0Bm82dMQsdN7e3nFxcXiTHULIJYmJZ4St65l6DbV9X3Crouy+JjNrqypnRUxULbxz3rUEBASEhoYCgCiKHh7mx6SxmKiZyJfnf/nbc2+0jvmhdesGQaC68vffaSR+7u6JdXBmV4QQqjr0xF/Cvl/Zp1rJhozQFhVVSZ139dz0lBv9A/2HBfhVSYXIuTziSNyt0au/XOxyYOu2P87dyhVimvWe2e/F/q1CrH7yHSGE0KOQg/vp8cPsM51lzw98zKFsjCjAhGspDJAlcXWA56qkTuRcHn2qnalRr+f4d3vaoS+PkpSUtG3bNjc3NwAICQn54YcfHN0jhBB6PJQKu35hjh8hXXvJejxXhRUnqHL25eZtaVQ/RCEvwgTvchYuXHjixAnD66JyTvk44lp6ZRkmETJMF+vl5eXo7iCE0OOhVPh1m3jyqNSjj6zjs1VY8U2d/t30uyNDggYHBVRhtaj60Ov1eXl5htcsa/6quTMl+KZNm44cORJvskMIuQJJErZuEBNPy/oO0jd/3GFoTVGAickp3jL2h7o4WIjLmjlz5uzZswFAFMUZM2aYXcaZEjxCCLkISZLt+kW8dF7WfzAb3wHKGaikcpbcvf9HfuGGOrX9HmPeOeQCLM7mxh/7bMhnx/iH/kazd80ZPd+mfUIIIVdGqbBlHXP5gmzoKDa+Q9XWfVunfzv15qjgoOd9cULtJ53533e04J9NK/+8o7+4ec+Fa98qT5ssJWTsX7Mv/HM7dQ8hhFwLpcKOLdL5RKHPAOVjTxBXum6AScmpniz7XWxtvHMelZPgi1OO/rrjIpdzh1dxu3akmTy1QRi3TnMm2al3D1OpVIcPH05NTQWAiIiI8gbnQwihakvYv0s8dYztM4B7qlWVV77iXub+3Lxtjer7y2XFmOBd2vXr1y9fvgwAkiQZ77YrxXyCZ8KGLvxjKHCH5vQ62G3/510VZpeyt6SkJONY9P7+/jk5OY7uEUIIVYD05wHx8EFZ775Mhy6g0VRt5fc4fnbareHBQYOCAiRJqtrKUXUza9asvXv3QiXGor/170VtYJ36oa1enR+Yf+XChVLFjG+zJlUwfWFFtWnTZtCgQQ0bNgQAf39/+3cAIYQqjfn7pPj7HrZzd7Zzd8OsmFVr6u0MOUMW1I2u8ppRNbRx40aVSgUAkiR99dVXZpcxn+BntWlx7vVjSZ9kzGozZIuuTLHbEKrdXJU9tY67u3vNmjVxlliEkNORzieyv+1m2j0j693XFvUn3M/6vUC9qWFcoBxHGn0iuLm5GbKhKIrKciYaMJ/g1xcUS4xcLmuzvkC3puwPTYIj0SOEkLWk1GR+yzqpYRN5vxdsUf9dPTcz5cYgf98hQYG2qB85KfOPyckUCoWMADAyhVKmufrb6h+//npnCiPcT0nXskqlAp+tRAghq9CM2/yqZUxUtNhvcFWNM1/K5OupLCFfRtS0ReXIeVl8Dh6Au7pkULO2I97/6qvPtl7hM7dNahzZYuLmNN7ypxBCCAEAycvlVy4h/gHy0RPANsPOJNzP2pmdu7BuTLAcD73QQywmeJq5Yfaci13WXEld/JwHATZm+u4TH0fumfTGWnt1DyGEnBVVF7JrV4BSKZ8wBdyrZn73Uu5x/MyUG/0D/YcG48l5VJrFX3z8uaOng4fsHFhLvsvwB8a3xZSPxix57gjAy/bo3cMSExPNziDXr1+/Dz/80P79QQihcum04solwHHyKTOJl7eNGplxK4MlZElcHRvVj6qV7du3z5s3T5IkSZIIIeTBFR8/Pz+zy1s+pcOyrF6rfeh5SrFIo1WYv2HP1gx30RumizUVGhrqkP4ghJB5As8nLIW8HPGliSTAVsfWa7Oyd+Xlb2hYL0SBd84/Efz8/KKjoymloigSQhim5Bx8paaLlbfu052b8Mn3o9fEAABQqfDK1ndnruZ7rqviXlunYcOGw4YNw9nkEELVmiTxG9dIt2+yL00UwsJt1Mg9jnvr5u3+/r4v4sn5J0bnzp27dOkCAFqtViaTyeVyqPxscsS375cJ4waMaB9VyIiKg7GB6vvakB4fbPi6jw16jhBCzo9SYfsm6dIF+YixtG490JUdSKRqvH49jQB8H1XLRvUjF/CIuy5JcPd5x1InnT2VmHQrnw2MbfnMMw2D6P27APg8BkIIlcYeOSieOSkbOJRp2lwURRu1siFL9YsqZ3VcLN45jyywfJPd8dVrawx+uXF0mx7RbQAAgMv44+vh076ilzI32qV7CCHkNMTjf8mOH2G79WbbPWO7VrJ5fnrKjecD/F8MCuB5fGgZlcvyY3Lqv97t8cL35zQAJbm9RaMeH//bZNZk+3QOIYSchXQ+Udi1TWzRRta9t00bei05VS9Ji+NibdoKcgEWj+AVPb/ZMXVgv159sz7qcWPRvC3pkUM/+H3/tGcjqsfscgghVD1IKcn8lnVMoyb6ns/btKE9+YVbVTkJ9etGKBV4+I4ss3z9htRoO+fX/e5Dnpv2Pn127m/7Z3fF3I4QQg8hd9L5VcuYqBj58LHa4mLbNZTN89PT7/T29xsTGmy7VpDLMJ/giwsLeOMcMzEv/7xVP3rw/OPnM/JaebsBAJHX8PGwVw//k5aWdvLkSV9fXwCIiIh4/fXX7d8HhBB6iCoL1qwgwSHysRNtNBit0dTraVpJWlIPT84j2LNnz6lTpwCAUpqRkWF2GfOb49gQXzOzxL4VH/oWADhsuliVSnX48GHDWanQ0NApU6YQ28zcgBBC1qD5eXTVUvD0lI97DWw8Ativ2bkbs7J/iAyvVc7coOiJcuDAgf379xteR0ZGml3GfIL//uLVjyWzJQAAwNhq2EXL2rZtO2HCBBzoBiFUHdCiIn7FIqASHT2BeHratK0cXnglOaWrX43Rgf42bQg5i++//76SA93UrFvP+JpyBffvF3DUZFp4ghfiEUJPNp4TVi0FjYaMn0x9zY8EXoVev56qlaSf69UlnN7WbSGXYfmKkXR78/he41ZfLZKo6Z8ddIoeIYSqBVHkV6+Q7t6RT5wiBIeAZOGEZxXYnZu/MSt7Wb06kW7KQkzwyGoWE7yQuOjDzezo9YmzO9Z0N3linpSe7gUhhJ4UkiTbuUVKTZaPncRERQPH2bS1XEGcknarq1+N8WEhNm0IuR6LCV68dzfnqbFvDWle2+J4OAgh9ISgVNi+mb16WT58DBNX3w4NzrhxW0uln+vVxTuKUUVZzNzypu2aZ/97KY9aWgghhJ4Uwv5d4pkTQrfeTDN73O27VZWzKTvni6hakW545zyqMPNH8NdOHs+WAAAajHh22bRe45KmDmxdO8CdLSlmAtvH1zP7QYQQclXi8SPi4YOyHn30rePt0JyK56dcT+3m6zMWJ4RFlWI+wc/t0XmryXPwlz4cv9a02G0wr95g024hhFC1Qs8nCrt+YeM7sF17QmGhHVp8NTmVk+iS2Gg8OY8qx3yC36Dmq2EClyRJr9drtdqqqlAQBEqpsUJRFLVarWHwHEqpIAjGIkEQ9Hq9cVwdw5LGIkKIcV5I0yJRFCml9METhqZFZevX6XTGpk2X5HlekiRBEMw2bVgtZpsu9dZCaDqdjmGYspXwPG+op0KhlV2rxtDK1k8pNY6nbX1okslNy6ZFhhVlfWhm16qF0CRJKrVkeaEZVoLZ0HieJ4RUNDTDunrM0Ay9sj40w+tSG6SF0CzvCxX61srbFyyEBuVsMKXqN90XDFGUqsRsaNKli7Ltm6Bpc75HH16rtX6DqfRuvvR2xi+qnIQ6tYOAchxX3XbzsmvVGJohClvs5ob6XXg3txCaca0aN11jaIZYwJxHDayovbrpw3d+LBi+fcmwQOHkB8++fv7pOd/OHVzX/RGfsxGWZWVVNxikYacyVshxnEwmM909jEWCILAsa9yGGIYxFkmSRAgxvjUtMmxAZosM25DxLc/zpk0b3po2XV79AGC2yFBqZWgymcxsaKIomr4tVb/pqjMtMmxzpqEZVx2l1HRdGUJjWbaioZkWmVZYaq1aDq28tWohNMOOZLpWywvNUL/Z0CxsMBZCM+TOUhuMMbSyTVd0gzQbmvH/qfWhlbfBWPhCJUkyXeGl9gXDpmtNaOXVb/h/anZfMGS1R26QNO06s2MzrVOPfWG4YZ1bv5tbCM3Cbp4pSu/cvtPP329ESLAhf1S33bzUWjXdzQ3Zyxa7uXGDdNXdvNQGYxqacV0ZN11jaBZGdLWcLIuOzOk3bmedaV838yIAsgZDpvX7d87YXhrf1IXdLH7QJlJSUg4ePOjl5QUAYWFhc+fOfcwKDQflhsGAAIBhGLlcbtyGDG8NRYY9x/hFmn7KsHsY35oWUUolSTJbZPjxZXyr1+tNv0i9Xm8sMvwXMFuJYUcyW2So5zFDM+yZ5YVm+tb0Ncdxpm8NsVgIzXRDtzI00yLTWERR5HneytDKW6sWQjP8JC/VdEVDE0WxvPothGb4L19qgzH9z2JNaJIkmW4VjwzNuMFwHGdlaBb2BVEUK7EvWB8alLPBWAjN8GO01AZTKjSacZtbtxIiIpnhL8kfjBFr092cAky9fUdGyLL6deVyefXczQ2naszu5oafTbbYzY25zVV381IbjGloxnVl3HQ3btxoHIs+MzMTzLGY4LnTm7YVD1+65fPengAAxLfpkI/W+91vMHYrOCLBq9Xqa9euGV5HREQYviH7dwMh9ISg2Vn8yiXEP1B68SUikz/6A1Vh0Z17BwvVOxo3CFbYqUXkjFJSUhITEw2v/fzMj6VoMcFTrVbvHRr40OMZCv8AH735iWtsrWXLlmPHjsWx6BFCdkAKC/g1y8HNTT5hst5e2f1qsfbttJsvBfr3xzHnkUVz58799NNPweJY9Bafg1e06tpetfaz5f+qSy7gS4WXEuatudOuU1V3FSGESoo0PAAAIABJREFUqhGqLpSv/RkIkb8ylXjZaXotgdIxV5ND5IrPI8Ls0yJybRaP4EnIi98tOvz8hBYRn9ZvEBvIFty4fCkrcPDifaPs1T2EELI7bTG/YhHh9PLJ00kNX7s1+9HN22cLNX8+1cQLxw5FVeERd6TLag9dntjxtf2/Hjp3K1/0fGHqD337PRPlYZ++IYSQ3fEcn7CU5uXxI19WBgbbrdmThZovbt95N6pWR1+fQrs8Z49cnvkEf+vfi9rAOvVD+VuXbuZLIKvdtmfttoai/OsX8hnfZk2i7NhJhBCyC1Hk162U7qTLx0/WBwTZrdkiURx/Pa2Zl+cHUbXs1ihyeeYT/Kw2Lc69fizpk4xZbYZs0ZUpxuliEUKuR5KkLetoyjX5SxOZ6Fj7DFdn8NbtO3d5blfThgoGnwxCVcZ8gl9fUCwxcrmszfoC3ZqyI+QQ1sxnEELIeVHK7tlOL1+UDx/D1G9oz5Y3ZWWvVuUsiImq7+GgEcSQizKf4G9eOJcjmS0BAAAmoG3rOjbqEEII2Z+wZwc5n8gMGMo0bW7Pdm/r9K8lp/by9ZmE072jqmY+wb/bsZ2ZM/NGeIoeIeRCxIP7xKN/St16s63a2rNdgdIXk655ssyymNp4ah5VOfMJfmORsMHCJPA4fhxCyFWIJ48KB/axXXsKT3e0c9Mf3Lh9ulB9oFljfxle90RVz3yCZ5j/tjaqy8m4W8CZTlbDeMVG49kkhJDTkyVdFPbsYOM7yHr00RcV2bPpo2rNV+l3Pqwd+axfjeLiYns2jZ4Qlp+Dl25vmdDz5YSrRQ8fzuMpeoSQ8yNXLrvt3ck+1UrWf7Cdm87i+PE30tvX8H4/KsLOTaMnh8UELyQu/nCzYsym83M6R7ibDK1ElOV/BiGEnICUfJVsWy/E1FUOHWnny44ShZeuXeeotLZBHItXPJHNWJ5N7kbKvWYvzXyhWQQOnIgQch3SrRv8mhUQWVvff7AnY+//b5/eTj+Qm78+tnYtJR4sIRuyuGXLatYKSr/wb56F++0QQsi50Lt3+JVLmNAw6cWXKPuI4bqr3OH8gv/dTH87MqKPr4+dm0ZPGosbt7zp+He7Dp3ac9yVqQNaRvkqH5xKYoI6dbDrQBAGp0+f/vzzz3meB4CYmJgDBw7Yvw8IIadGcrKFNcuJr5983KsCEBDsendbJsePSEpu7e31f7Vr2fmePuRi5syZs337dsPryMhIs8tYPkV/4JNpa5N1kPzhhLWmf3cbzKs3VFEnK8DPz69ly5ZeXl5QfjwIIVQemq2Sr1kOnp7yiVPA3QO0Wnu2LlF46ep1PZU2NqwnJ0Rvz7aRy2nevLlarQYASmlmZqbZZSwmeOULG9S8AzJ5OeLi4l544YUWLVo4uiMIIedDc7L5pT9QuUI+fjLx9LJ/Bz67e/+P/IK9TRtFuSkpxSuf6LEMHTp05MiRACCK4owZM8wuY9VscqXhbHIIIadC8/P45QuBEGHUOKVPDft34EBe/lf3Mt+JDO/pb78J5tETDmeTQwi5usICftVSkCT5pGl6ucL+7Wdy/EtXrsd7e36Es8EiO8LZ5BBCrowWFLCrloEoyl99g/gHgFpt5w5IFEZeuSZS+nN0lAyfekd2ZP4xOZlCoZARAEamUMo0V39b/ePXX+9MYYT7KelaVqlU2PvBEoQQqgSalystXwgCJ39lKvEPcEgfPrp5+8+8gjUN4moq5A7pAHpiPWKEB+7qkkHN2o54/6uvPtt6hc/cNqlxZIuJm9N4+3QOIYQqjebm8Et/IJIovvQKCQxySB/+Ums+v53xXlQtvPSO7M9igqeZG2bPudhlzZXUxc95EGBjpu8+8XHknklvrLX0KYQQcjSqyuR/+h4oZSZMgYBAh/Qhk+NfTr31TA2fj2rjpXfkABYTPH/u6OngIa8PrPXgxBLj22LKR2PCTh2xQ8/sobiYFBY4uhMIoSrGZN7nF88HpZt88gzw83dIH0RKR1y9LgFdjwPOIwexfIqeZVm9VvvQc3JikUarcJHxk9njh93Wr3R0LxBCVUm6mSZbuwJ8asgnTSOOeCLO4H83048WFC6PjqqpdMB9+wjBIxK8vHWf7tymT74/kysCAFCp8MrmN2eu5nv2tU/nbI3KZMDj/QQIuQ4p6V9++UIIDFK8MpV4eTuqG4fzCz67nTE7MrxrDYf1ASGL98MT375fJowbMKJ9VCEjKg7GBqrva0N6fLDh6z726p5tEZkcBMHRvUAIVQ3x7Glh2wamXkNdvxfcPDwc1Y2sBwPOfxgZIepxRFrkMI944I0Ed593LHXS2VOJSbfy2cDYls880zDIZR71oHI5I+ARPEIu4eifwoG9bMs2sheGax03j4tEYdSVZJ1UMuC86Kh+IPTIBA8AVKBuofVbh9QDAIDiu7duAfGMinTMXalVTC4HUQRJArtPCI0QqjKSBDu3QuJptmtPWffnwKF3tH2TmXUwL3974wZRbkpRxPyOHMlygpdubx7fa9zqq0XSQ8PZucpQtVQmBwDgeVC6yG2DCD1x9Hp+7c+Qcg36DpI909mxfTmUl//5vaw3a4X3D3TMrfsImbKY4IXERR9uZkevT5zdsaa7yTEucbN1t+zjHSrb26lPCs8RTPAIOSFaWMAnLKWqTBg+Buo1dGxnbun0w5OSW3t6fBqNc3GhasFighfv3c15auxbQ5rXds0z2O4yppjFG+kRckok6z6/ZR2IouLVN7jAYMd2RitJL1y+6sYwa6MjFQw+9Y6qBcuPyTVt1zz730t5rjpxsTsj07IMJniEnI507Yp81VJwc5e//iYJd/w4cZOTUy8XFW9rXD9IjlN1oOrC/LZ47eTxbAkAoMGIZ5dN6zUuaerA1rUD3B9MIscEto+vZ68e2pCHjC1i5cBzju4IQqgCxDMnhO2baVSMYuxEcHN3dHdgwb2shPtZy+vVae3tVVhY6OjuIFTCfIKf26PzVpNp4C99OP6h0efdBvPqDTbtln14MKxAiJ7jXeSeAoRcHqXCgX3iwX1sq7b6bs+5V4PsfrhA/d7tjNfDw8aHhTi6Lwg9xHyC36DmXSGBP4qHXA4AxZweEzxCTkAUpe2b4OI5tltvWbde9p/ZvaxrxdrhySntvD2/rRPt6L4gVNqj7p7TXt00a0CHVzZlUwD+5AcdWvadvfW61i5dsz03GQsAxRxeg0eo2tMWM2uWw6ULsqGjZN17O/Zhd4McXuj775UaLLu+bqy8GvQHoVIs3w9SdGROv3E760z7upkXAZA1GDKt379zxvbS+KYu7FblXZGyji5ZekQjl7ig3pNfbu1n+/3F3XAEj4PZIVS90fw8/uefaH4eM2Yi6+jH4Qx0ktTvUlKOwP/VuAHeWIeqJ4tH8NzpTduKhy/a8vkL9d0AgPg2HfLR+p9GCzu32qAn4s1Dh5jnZ82a/Xb3ot+O3Jce/YnH5llyih5vskOo+qL37/GLv4fiInj5VRJT19HdAQCgABP+n73zDoji6AL423KV3jsICIgoChrsvWHvvRujJn72xERTTdFEk5hEo9GYqInR2I3GEnvvvQCCld45uH5b5vvj4HLB4ygCd+D8/uF2Z3bmvWVn30577+Gj63LFrohGIRI8xYexUsx+eCK1Wmvn6fofJzBCZxd7bWoNSEIFDHl3slCEVIlJ+fZBtrUx3iUWCgFAxeF4MxiMlUI+f6rbtZVwcBBMeVMjshZTuiQtc2tWzubwkC6ODjrcQ8BYK2Z78MKW3drlbFm64Z68eCc8X3R/05e/p7XuVH0CcMmnN69f/+vxJxwlomXXt379zT+Oo6e0tqsNA29DkgCgYrC/aAzGGuFvXxds20R6+wrfnEc4OllanGJWp2WszMpZEug/3sPC3nUwGPOYDxfrMWrlmtP9pkb7ftEoPNiVKnz64H6267C1h8dVuHwm5cp1rnmbBsWjAKjg1tYfN554WCjybzN65tSO3jTl33nitM4AgOTXf9lwr+X0xdEulLkSqxEpRQGeg8dgrBLuzHH28AEuvIlo7GSgrWWSe1Nm9uykJ1PdXD4MsLx3HQzGPOU0G7rBiA03Or55ZP+JW89lnM3QWav6D2gfUOE4y9qUoxvXXmv9fesGIgIAkPLKptWXPWatfC8sd99nn/10rNGS3u4lXXXtvVOX02RZa5YeBNKz87SpHdwIAOA4LjMzU59DJpOlpqba2dmZqdHf35+u8LtAP96nZDl90CeEEMdxBEEAAM/z+kN9Tp7njQNDlUrSy2kyyfhC4ySO415MQgjpf1ewkMpWXQXVCIKorGp6LWpZNcNdrbhqZqquVFIVVKvCXTVzQypVSKn/VNUemGr/r5VOYlnu6EH+3CmiTQemcw+OIIDjqrdqg2rGV5Vb/q6snDcePhrr7rbc2+MVb+Zm2kJl72plVavHzbzUA2P4/fz5c41Go1arCwoK9ElarZamaYqi9Nk0GiPHNUYQernLRp18+WSad+82/uyTfV8s2fJQ0nLCovl9AoRmLwIAlH3im082Xc2Uc5Fv/fpxTwcCAHRXv5u6N2jF0gEeBKjOfzX9aLMflsSaXy2fmZnZr18//W9XV9eLFy/KzW5+Xbhw4TvvvFOecMUoeb5BXNLaotxhbdtV8BIMBlOjEBwnOrhXkBiv7dhVF2NFDfOUXDkuOa27ne0vfl403hSHqS1Onz49fPhwMxkIgmjduvXFixdfTDLf2WUfrOzdYWHckP2prdj1Uyf8WNCth+NPI/srTt39vGU5QhHu3d5e0425unLKoZJTKD89k/Tu6EIAAIi8fZ1z0rN4cDI7IO/s7LxmzRr978OHDw8aNKhBgwZm8kdHRzs4OJQjWwm0Sk0A6EhSf4lKpZJIJPqPRISQRqORSIr9ZGk0GqFQSJaEjVepVFJp8TiGTqcjSdIwbGCcxLIsz/NCofDFJJ7ndTqdWFy8aEitVovFYkPVarXakFOr1VIUZbJ8hmEAQCAQmKya4zhRSZS8qqlmpmozqmk0Gp1OZ29vXxHVDB+hL6Oa8V3VarU1pxrHcSzLlnVXK6iaTqcjCKKyqr14V0UiUWVVYxgGIVSjqplpC2b+a/+2BZWK+3MzkZFOjhwvadJMXB1twYxqWq1Wq9Ua7qpGoxEIBCZVO5abPzElvaujw45GIUKSwM2c4ziGYUyqptPp1Gq14T1cXc3coFo9bualHhi9an379j169KhOp9NoNDY2NoZbR5KkoQe/Y4fpAO5mDTxzffNPD9qvv7WuN526ate1Rm9f2/We37E3Gs3cAuUaeBMgrVYnkoj1n76ERCrSFWnLi2MjFApjYmL0v+Pj45s2bRodHV35qk1DU1oxz6tR8RNGkqRAIDA8Q/pDfU6dTmf8jzT+z3EcZ5zTOAkhZHxY6iqWZQ2H+gdF/4wihLRarSGJYRiapk0Woh/gMpmkL8dwWDXVWJalKKqyqpV6sstVzdD8Kq5aWUn6l04FVSvrrppRjSAInueN72oVVNOPNFZWtVKvwlJvlgqqph+2raBqZT0w5lUz0xbKUs3QFlB+HvPrTyAvoqZMp4NDocRKVVC1sso3oxrLssZX6R+YF1X7Kzd/dNKTGFubPU3DJST5omqvYDPXjz+bVE0/qlwTzdwwRF9fm3mpB8agWo8ePbRarVwud3Fx0d8EtVptUI3juCNHjoApzK6i57PSc32iW3hSqPD8qbsNevVqSIHYx89VlmfuqjIhRCKhTqPR23SkVuuEIpGlB7rEiFeWM0mBwWBqHJSRzvz0Heg03IQ3yMCGlhbnXzZnZg97kNDFwX5feKiErJ+BszH1FbM9eDo4LOD5yeNJBeKjG086dpsXQQP7+PSZpx6tqlQX4eztyV/LkCFwJUCXlVHgFuFRmfZy48aNVatW6X8HBATs2rWLeOmZMCniNXxtONXBYDBlQTx5pNv1B+HoLJgyQ0dZy4J5APgqOXXRk+fjPd1XB/iKKGzdMVbEZ599duhQ8Qy4k5PpTaRm2xIVMe3jYVtGN3V9B9m2W/F9a/L2lx27fhQftWJ11QQSRLSJWr/j6ONuowNlZ47FB7QZ71gZAy2RSLy9vfXzE4GBgS9v3QFAipASd+AxGMvB37hK7dtBBgYLxr8OYgkoFJaWCACAR/BOSvr6nLz3/H2XBgVoy1iljMFYCl9f36CgIP1vpVJpMo/5j2XCY+D6GwnTrz+G4FYt/QR8SqsZq/5pP6RLUNUEImxipi5IWfXj/Dc1tFvMtLm93Ctlohs3bjxy5MhqnIMHAClCKktPE2Awryzc6eP8kQOoaZRg1HigassDRnmoeX5cfOK+nLzvGgbO8fW2tDgYjAkmT548bdo0AOA4bt68eSbzmDXwytOfTzkY8d1Xg7vox6ZIvy4TxlZKBEHMvN9jjI4J2/Bhi1YOq1QZNYoEQI178BhM7cPz7L6d3JULZNuOum6x1mPd8xl24P34a3LFz4F+U7B1x9RlzM4qib3EaTt3XSqsxxZQCqDEW1oxmNqFYBhm88/ctUv04BFkv8HWEPtVz1ONtu2tu3Eq1dHIiGFOjpYWB4N5Kcz24Enf0UsXXF80fOaz1/tF+ToIS74GSNd2bcJqQbhSXLhwYfHixWq1GgACAwNv3Ljx8mVKCFCBtbxcMJhXASQvon/7mc/PFUyYSoY3MXZDZlkuy5WjHj9zoKmLUZFhUklRUZGlJcJgyuR///vfzp07AYAgiIiICJN5zBp43eF5vWbv1ABcPLHW+Lx4OFKb3lZfo3h5efXv39/R0REAAgICqqVMKRB5JDbwGEwtgXKzmV/WklqtcPpswtff0uL8y5/ZuZMTH0faSA80bewuFJR/AQZjUfr06aNfPI8QSkpKMpnHrIEXDdthTRPUQUFBAwcOrN5FdhKSUBN49wsGUxvwyc/ZTetAJNJNmCqyGuuOAJYnpy5+8ry/k8NvjULtsXXH1AX69OkzcOBAqPoiOwAAQLrCzMxCnbE3GMImwN+1moS0MBKCUFEUIGQ9s4AYTL2EeBjH7NpGeHgKJk/X8NbSc9AhNDE+6fes7Nm+Xp97ekjwZndMPcK8geeTd7weO+W3BOV/m6OFhuhrAilJKEkaGAaE5cbPwWAwVQRdvUgc3EeGNRaMmQRCIVjH9HYOww5/mnxbrdnUKGSip3tZm4kxmDqKWQPP3ljz0Q5q/NYb73b0lhh92BLimhbLJBkZGc+ePbt+/ToABAQE9OrV6+XLlFKUmuIRoyOwgcdgagKE2KMH4eRRFB0jGD4GrMbb622FcuCDBAXHHYts0tHR3tLiYDCV486dOzdv3gQAhFBOTo7JPGYNPJeRntd80tvDoxpYRZtMTEzctWuXPlysh4dHRkbGyzuzE1OkmqKAYapDQAwG8194nt27g7t6ETp0Qd1irce6/52XPzY+0VMg2BHg2wpbd0wd5LPPPtu/fz8AEATRpk0bk3nMtjdBZOuo3Hv3C6xkuqxdu3YHDhzIz8/Pz89PTk6uHle1JKUhKU6ne/miMBiMMQTDMJvXc9cv00NGEj37WlqcYhDAV8mpA+/Ft7O3PxvRqKEID91h6iQ7duzQW8Ps7OxmzZqZzGO6B//w0oVcHgAgfEzXn2fHTombNfi1Bi6SEldTFtoHT9O0nZ1dWV71q4aUpgFYlU6Lv+ExmGoEKeT07xv4vBzBxDfIRhFW8g2t5LgJT57vLyhcFOD7WYMArUatsrRIGEzVIElSbw05jjOErC2F6bOf9Oy8yyi2wv2PXt9inCwexsi3VZuYFkVCkwCg1DHYwGMw1QXKy2V+WUuqVYI3ZpH+1eOy4uV5qtEMup+QpFL9ER462sPN0uJgMDWOaQO/Tc7UEwNeHmJaAAAqxiq6FxhMPQClpTC//gQCgW7CGyKrse7nCouGPUgQEsThsIYd3evJLl8MxjyVXvOCMv+Y1PH9mhDFIkgoAQCorGP8EIOp8zx5pFu/CmztBG/OQy7WYkd/zc7tdvt+iERyvUXzaKnE0uJgMLVEOQZecWvNhDYh3u5uBlyCJ/2Roa0d4Upx5syZzp07EwRBEERAQABC1bD4TyqgAECFV9FjMC/P3Vvot59JX3/hm3MJBwdLSwMAoOH5qYmPZz1Led3L41TzJh7YSx2mvjB27Fi9NRQIBGVFZjG7TY5/vnnBu6fdF30zh908f6f/50v7Cm/9smRP+KYlNSJveYSGhi5YsMDLywsAPDw8qmcVvUgEACqGffmiMJhXGe7cKeLgPmjSTDB6opXEfk3V6oY+iL+tUP7QwG9WA2vxjIvBVAuzZ8/u3r07ACCETp8+bTKPeUc3cTfjfMfsXzg6RkXt+fWwe8+B/fq1Fz9s+82er9qNrwGBy8HLy6tp06bV64u+eA6ewwYeg6kqCLHHj3DHD0NMW6LfYCux7ucLi4Y/eEgScKJp42i8Fw5T72jVqlX79u0BgOO4Bw8emMxjfoge8QiAAABpw1DHRwkpHBBOr8V4XjxR/cJaCClNAYCStZaAlRhMHYPn2T3bueOHqc7dUd9BVhLTYV1OXtfb94MkoustmrW2s7W0OBiMZTBr4Onm7aLTty1bfS6NC44MTdq7M17D59+6+VRqFbNr1YKUIAFAxeIePAZTeRhGsGsrd/0yPXQU3XuApaUBAFBx/Pj4xIUp6a97eZxq1tQLu6DGvMKYNfCk97gVK9omfL74z1Tb2Okj8z5t4e4cMHyfz9SJtSVejSMhCQBQ8bylBcFg6hoaNfPLGvLpY8HYKVRMW0tLAwCQrNF2un1vV07eD/4+a0ODhaRVDCdgMJbC/CK71Piizj/eyXGkgCSDv710o9+xuyq/Nj3aWMve1peHJggBQioOG3gMphIghZz5ZS3KzWFGjBU1ibS0OAAARwoKJz96aktRZ5o3bQS4RWMw5g08c3lZtxF7RYEx3WJje/fu3atztxGNLRgsIiUl5d69e8eOHSt1vnXr1p06dapysTY8p+LxHDwGU1FQQT6zaT1SKQRvzNQ6OltaHOAQ+jQlfVlqei9npy3hoS4Cusg6wtFiMNVLUlLSvn37EEIMw5AkSVEUACCEMjMzTeY3a+BFgzckXJty9uzZs2f/+XryF9MVDo3b94yNje09YGzXkJqQ3jxPnjwxRJMzZvTo0S9j4CWIV/FWEk8Hg7F2iJxs9MevQBDCt+YRbh4Wj+yeyzBj4hJPFMgW+Xp/FhyIR+Ux9ZgjR44sWrSI/++cclWjyQFlH9Aidvy8pT/vPZ+QlXX/z3nRhce+f2dcX8t4suvUqdPp06fRC2zduvVlipXyvLo6fOZgMPUcnZY9dojcsBoJBII35xJuHpYWCG7IFa/duHNVLt8WFvyRnze27pj6zaxZsziOQwipVCqdTqe3gAzDtGjRwmR+sz14QJqs+Cvnzuq5fD+L8I5sO3Jupy5DakJ0SyEFUGIDj8GYgeO4y+e5Y4eRWoVatqa79ybsLR+e6eecvMVpGU1tbE41b+qFTTsG8wJmDbx298TAETs5z5jBowfPXvtZpw4tgh3rn6dHKSAcMhKDKQsUd09w8C+2II9s2lwQ218tkYKl954pOG7aw8fbsnOmeXt+3zBQTJJarWX8Z2Mw1oxZA08FdxnWPenMlVt/b1Nmpzx/9vRJhw4dWkf62VmFp6rqQgqgQvj7H4MpDUpLYf/exz9JAv8GwjETCb8AAACVhb+H41Xqoffjn2u1awN8ZwTWnx09GEy1Y9bA01Ezfjs6Azh58p1L58+fP39+w4Kvpj1UuEbPeXbp09qSsMaRAqiwfcdgjJEXcccOctcuE/YO1PCx6tBwsRWMyQPA9ty8Nx898xIKL0VFNsCbXzAYs5ifg9dDie3s7WylErFQQJMEr9No61W7kpKErPJhczGY+gnLcudOCU78w9EU3XsA1a4TTxCgVFpaLNDy/NxnKeuzcoa5ufwSFmJPU3gvHAZjHrMGnovf9t4Xm06cuXg3TecQ0rpbr17/W7e0Z6coX5vaEq82kAKoSGzgMRjg4++zB/aigjwU9Zqw70DSxhYAwAr8PD7TaIc/SLijUH4d6D8/wA+PuGEwFcF8NLlnN64pAge8/+aPvbrGBNpbeuZdLpcnJibqw8A7OzsHBgZWS7FSilITOB485tUmL4fcv4d59JAMDBaMm6KwsxdLreU7/mBewYSERAlJHgkP6eDkiK07BgMAOTk5GRkZAMDzvKqMlTHmHd30/vp0by7vzsE9e1ad9Bu0sK9tYoZDWEPHiozr1wA3b940OLpxcHAoKCiolpDwNgShJC398YLBWAqGYU8d5c6cIKQ2gtETyWbRQBDwgjspi8Ai9Ela5ndZOd2dHP9oHGqLg0JhMCW8/vrrR44cAbOObsqx1bqEdcO7zznBONKKjmHzWiZPb/JJ0fgN+9aMCLLAdrno6OiePXuGhIQAgLOzc7VYdwCQUqSKpAFvhce8evDx99n9u5GsgGjVjuvcg3R0tLRE/5Kh042JSzwrK/yogd9HAf4kAWps4DGYEn755RdDD37dunUm85g18Chr27uL7nb5PX4t/W7gn0AFzf37IjWu3/Q5W0YcmFwTEpvHzs4uNDQ0Ojq6eouVULSa5oHFo/SYVwgkKxDs/pNJjCcDgwUTp3GubqxOZ2mh/uWUrHBMXCKH0J6QwIE+3pYWB4OxOtzc3Ly9vQGA4zipVGoyj/lgM7fOXXEf/tdgP8EB/QnSMXrmxxPX9TkDYAEDX0NIaUpNUDyDDTzm1YDnuQtn2KOHSIGAHjGOin4NCAKspnOMAH5Iy1j45HmUnc328DBnxoo+OzCYuoX5IXqKorRq9X/W0HJKhVooqlGZahkbikIEodbqgLbQ4gIMprYgMtN1B/agtBQqqqWqUw+Rp6elJfoPuQwzJunp8cKiBX4+y4ICKAA5NvAYTFUxa9IEr/XtoZv6+Xfjfw8CAEB8UfyuxfN/Y3r9UTvC1Q5SWgCgUek0YtrW0rJgMDWGRg0H/4Jrl8DdUzBjDtkgdG/oAAAgAElEQVQgyOKB4EpxobBoVNxDBcvtjWg00M0FABBeGYPBvARmDTzh2H/5pimDxrQLKCI54fFgV3mm2qPnh9u+7ltb4tUGEpoGAJVWJzY9i4HB1Hn4u7fYA3tArYJuscKuPYGyrm0jCOD71PSFT541tbE5HOrX2MmK1vphMHWXcgalCfceX55/PP365Rtxz2WUa3CL9u0bu9WzeDM2AhoAlAzjbGlJMJhqh5AVMLu38glxZHAI6jsYubham3XPZ9hJSU8PyQpn+3qtCArUqSzvNQ+DqR+UP+usTb97/uTRc3EZKtrpmQxcPAZEuljXC+IlkQqEAKDS4WhUmPoFx3FnTwqOH0ESiWDMJLJZtFartbbtoJeL5KPiHhYwzK6IRkPdXAAAT7ljMNVFOfHgC8991Kv/0lviJh3aRHhQiQeX/bJ8aaflh/fObS6pJQGNpUGI53mOqzZP+PoZPjFNAYBSxyCEOI7Tb6/neV5/aFy18YWGJP1545zGScYCl0oqVT7HcXp5EEIVL6RSVZelmvEtLVUIQRCVVU2vRS2rpv+tr6iCqpmp+uX/a6We1Ze/q2ZuiMlC2MQEfv9ulJfDR70m6DMQSSQcx5n515tMMtMWXv6/xnLcqrSM954lN5ZI9ocERTg66FNruS2UuqoWHsj60czNtIVSAle7avW4mZtRzXCvDP9fQyEG8V7EvC/6pPULv0nrvv7O5tcb6d1Wqh5unNRj9rwNc0/NMndhzcDzvFarVavV1VUgy7I8z1MIAKBIpeY4TqPR6JMQQizLGupiGAYhZHCtw/O8IUl/x9mSXUbGSfoHxfBlYJykL99YEo1GYyif4zhDTr2QTMkuvlJVw38bknHVpXKq1Wp9+aVUY1m2LNXYEiqlmv5eGRdiRjUzd9WMasblGxdoXrVSVXMcZ/KumlFNf1cNbUn/wJgpnyyJcVCp/5px+aV0MT4EAJNVc7IC4sQRiLvHe/vyU97UubrzAKBWGyqtuGqGu1px1cpqC/p3kKF8GcNOuh+/r6BwtIvzd/7ewjIemFJVcxxX1n/NzF19sRCDanpRjR9dnueroFpZd/XFW1dvmjn/376WsWr68zXRzKugWt1q5i8+MAbV9EUZP7oG1Yz/EaUw74s+4e5D31ErJzQyOKWWho1/Z8zy2Gvmrqox8vPzr1y5kp6eDgABAQExMTEvWaBCoWAYxs3RESBZRxI0TdvY2Bi+j1Qqla1t8bp6pVIpFoupksnLoqIiQ5JGoyFJUigUvpik0+l4nheLxS8m6R8aGxsbgyRSqVT/oCCEFAqFIadKpRIIBAKB4MVCtFotAIhEoheTGIZhGMbg/UAul9va2lZWNbVaTVFUZVVTKpVardZwaF41oVBIl+xOrLhqLMtKJBKTd1WtVldQNZqmTd5VM6qxLKvT6Yzvqo2NTWVV078sKquaSqXiOM74rkokktKqsQx37jR78ijQFD1kJBXTFgiC++9dRQhVXDXDA6NUKiuompm2wHGcXrWLhfJRiY+LeH5HRNhwN1fzbUH/6Jb7XzPzwJhRTa1Wl2oLIpGoCqq9gs2cZVmtVmtSNY1GwzBMTTRzg6mrr8281ANjrJpWq2UYxvjRTU5Ovnv3rv5/LZPJwBRmDTzlG+CjSsvVAvy7rk6bm6d09TB3VY0RFxdn8EXv5OSUn59fLcVKRUIAUFmNow8Mpgrwd2+xh/5ChTIUHUP26ENZk9NZAzyC5SmpHz5NbiIRn2raOFgitrREGExdZd68eYcPH4aq+6Knm//vi36x7479nP1kUpdwV8hLOL35kwV7/aefrgFpyycmJmbIkCGNGzcGAMfqe39JBAIAUHGWj4mJwVQBPvm58MBuJvkZGRImmDRd4+BIWKXLplyWnX4v7kh+wSxfrw9cnd2wdcdgXoJt27bl5eUBAM/zK1asMJnH9ItghITYqfn38M7g/R8aDgiJ808/wjtrq1PSiiGRSLy9vYOCgqq3WDFJUgipONyDx9QxUGY6+89BPu4euLgKJk0jw5sAFE+3WxsnCosmJz5hAf3VNLy/i3ORlfnYwWDqHFKp1MHBAQA4jjPMBZTCtIFfevbyAjMdWtKlGqSzJqQ8pwLcg8fUGYj8PO78afbuTcLBkR42RhnSSGyVY/IAoOX5xU+fr0xJb2dvuy0i3FcktLREGMyrgmkD3/C1Vg0BQHn68ykHI777arAXWbtS1TYSnlcjbOAxdQCUlsKeOUHfuw1SG7r/EKpVO6Bpa3M6ayBepR4b9/CeUvW+n/e7Xh622LpjMLWI2bk6sZc4beeuS4sHDXGqntDr1oqU55VgXQ5AMJhSUMlPmX3b+cQEwtGJ6xYrateJkljAHUUFQQDrc/I+Ssv0FYkuREU2FwvNbObBYDA1gVkDT/qOXrrg+qLhM5+93i/K10FY0o8nXdu1CasF4WoNKfAqHvfgMVYKkhWQO/+QPEpE7h708LFUVEudWg1C6+0NP1Frpj58dEpW+LqXx3cNA20pSmdNweYxmFcEswZed3her9k7NQAXT/xnTZ14OFLvqFm5ahcpj1S4A4+xQhDirl5kD/1F0AJN/6EO7ToCYdWjaQhgfXrmgsfP7ChqS5D/WH8/S0uEwby6mDXwomE71K+E3ZMSoOJfCU0xdQhCVsBs/41/lEhGRjG9+rMEYeXWPUGteevp88tFiqleHiuCAwkcNgaDsSjl75fl8u4c3HP8XrbfoIV9bRMzHMIaOlrjJtuXQoqQCqz61Yl5teB57sIZwT9/I6lUMHk62SiCUamsc/+bniKW+/R5yg+p6T5C4bFmEd2cHAHAShf+YTCvDOXYal3CuuHd55xgHGlFx7B5LZOnN/mkaPyGfWtGBNWrmLFSAnKtu2+EeXVAGWnMrm0oLYVv3kI8aDiIrXclHQDwCDZmZi968qyQ5RZ4e77r6+2IPdhgMNaB2f1vKGvbu4vudvk9/vHaPlICqKC5f1/8zP/g9Dlbaku8WsKGIFSWlgGDAZYhTh/Xrfoa1CrB1Jlsn0FWbt3PyAq7Jz6akpDU1t4+LibqYz9vKVXPt9RiMHUIsz145ta5K+7D/xrsJzigP0E6Rs/8eOK6PmcAJteGdLWFhCBUBH4xYSwJ//Qxv3MrIcunOnWju/UCWmC1u9sB4FKR/KOnyccLZBES8bFmEd2dHMEo1BUGg7EGzA/RUxSlVav/s3+MUyrUQtNe8eouUpJQ8XiIHmMhdFr28AHu0jnw9kXTZtMNAi0tUJmoef58keL77JxD+bJQqWRr49DeIpGjg72l5cJgMCYwa+AFr/XtoZv6+Xfjfw8CAEB8UfyuxfN/Y3r9UTvC1RpSglRRlhYC80pCPnmkO7IfyeV0bH++TQfWyvwxFLHcPYXian7Bg/Ss63LFA6WKRaiBSLSxUcg4DzeaILBXeQzGajFr4AnH/ss3TRk0pl1AEckJjwe7yjPVHj0/3PZ139oSr5aQUqQa4R48pnbRadm/9wquXiICAgWvv0W4ufMMAxY18CxCD1Xq+0rV9YKCRIa9p1A902gQAEUQYVJJSzvbKZ4eTQR0W2dHsaBeLbPFYOol5ayiJ9x7fHn+8fTrl2/EPZdRrsEt2rdv7Gaplv3kyZNLly7pA8UGBAS8+eab1VWylCJViASEt8Jjagn+6SN2xx9IXsR2i7XpHmupDe5FLHdbobypUNyUK+7IFQkajY5HAOBMU81sbfu7OjWxsWkiEQcS4OngoL9EpVLReMsJBmNpDh06dOnSJQBACKWmpprMY36R3fmlY8523Lq4fUzPwJjicyj3wKJ5T5b9Pqeaha0AGRkZBw8eVKvVABAYGFitBp7mOKRlGNvqKhGDKQuWgdPHmQtnCB8/4ZQZWpGkNq07i9AthfJSYdHlIsVFWeETrRYB0AQRLpVESiXjvTwibWya2kpttVpbW1uCIACA53mlEruswWCsi0OHDu3cuRMACIKIiIgwmce0gUeFN7dvPJWmvbvj4J2H34quGOViU4/8fthnWQ2IWy7t2rWbMWNGdHR0tZcspWgARsNgd9mYmgWlpxHbNkFeLt29N9WlB5BkRZbKq1SqzMxMrVar1WoNZ8RiMUkWb/1QKpUKhUL/W6vVUhRF07QhqUguT1CrrxYprhQW3Vep1TxPEkSQWNRNJJzrZN/IRtJQLKYQYhhGTBGgUSGNKkulKioqMhh4jUYjl8v1BWo0GoFAQFHUi1XrdDqCIAQlo/fGSQzD8DxviFptnMTzvFarlZQEzjFWDSGkUqnMqGZcNQAIS/zzGydxHMcwjFgsNpRvUE2r1Wo0GsNdVavVQqGwCqohhExWbV41tVptfFdpmq6saizLsixrUjX9f00qlRpUE4lEZT0wJElWVjWO43Q6nUnVdDqdSqUyRB8w/8CYUc04zLlSqZTL5VVQrawHxoxqDg4ORF0Yo1q9evW6desAgOO4efPmmcxThoFXPTq3f99dXV4ak6M7sO+JkbIEKe60aHoNSGtJbAQ0qBmllrG0IJj6C0LcuVPsP3+DkzNMm0U1CKr4pdu3b3/+/PnLixAFEPXfM7kA5wHOv3zRGEx9oWnTpr1797a0FNWDaQNPeo348eQI0J1YFHu8+5Fl3aw3bFX1IKVpAFAz2MBjagaFnNm1lX8YR0W/xvYeSIgqt9FUp9OFhYV16tSphqTDYDB6Dh48WJ8iH5qdgxd2W3ayW8kBYhQKTmonro/+YKQCvYGvP/9XjPXA378r3PUHomi9V3m2St5gpFKpt7d3tcuGwWCMEVXy49vKKctc87mX1s0fO/6HmywAoMJLy/sGO9g7OLiH933/cBpXmxLWBjYCIQCoGNbSgmDqFyzD7tvJ/L4BefsJ5r1HNjK9EAaDwWBqAtMGvujMO527vn0gy9ZJSgBoLiyZ8MFl7xm/7Pn9ow7Za0aOXZ1Uy1LWNFKhEABUHB6ix1QfuTm6H7/lrlyguvdmRo4nbO0sLRAGg3m1MD1Ev33Zz+pJu2+s6elIAGhP/bEjpfnb+1dMDqdgQDTzoPmWXTBnUS0LWqNIBQIAUDP1bmgCYyGIOze5Q/sIWzvhW/MIvwBr9iqPwWDqK6YN/PW7zn0WdXEkAADYeyfP5DUZNyiUAgAgA6KjnJcl1KKEtYFULAIANYeH6DEvDcOwf+0ir10iIqOEQ0dZeTg4DAZTjzFt4JUaibNUvzeOf37m9FOfTp0blvhqN+w3rEfYCEQAoMIGHvNyoIJ8ZsuvKD0V6be50+V4isRgMJiaw7SxbuifdulyCg8A/LMD+27bdejSvNgLAv/8+vWcgJDaE7BWkIhFBEJqzrrifGDqFmRivO775aCQC96cy7erzi1taiuLQIPBYOoEpnsYoyc0++aDQeNyJzbL3v31ZacBizpLARAje3h4+fQv70W9t7GWpaxpCJqWIA4beEwVQYg78jd95jgZFi4YOQGkUlCpqqXgR2rNR0+T7ZQq640gi8FgrBXTPfiw2dt2zgt5/MeXX+7Of23xpqW9bQE0u8Z4NR6yTj70599mhdWylLWAhONVCC+yw1QejYbZtJ47c5zr2FUwaTqUeNB8SdK0urnJaY2v3jwpk/mJzezNZdJOfjc9trm/s1QkdfQKbTt84eabMkPYJD7r9j9HbqRX6snmEr6MkUZ8cLOyM1YVrYt7un16a197+y4/PC37k1p38i1fSdcfTYfQwGAwFaGMOULaN/aTXbGfGJ8Sdvjwn2srmkc1sK9/c/AAIOU5FeBocpjKgfJydL//ggoK6LFTdA2CqiVsTA7DfJmcujYtU0DARw385vp6/3HvVln15/79VsehfxDdZ77z42ch9rrMhDO/fz+944lHx89+1toGAJgr34wYpfwpe8/omg+kVMG62BvrPt6c13PDscWxPvXyXYLBWAsVXwREekZ29KxBSSyMlOfVlpYBU7cgnzxi924nJBLhzPng4QklwSqqTCHLfZuasTozmwM029f7TUf7AGcncxfwqdu/3ZIe88Xdv+aH6Jty36Fjenm0b7ns0z9nHnzdsyqfG4xKVbP+IHh5YREZ1KZHTEPXOhDRA4Opw+Av6GKkCKlxPHhMheGuXaL/3Ex4+whmvU14er1kaTKWXfIsJeTGnW8yMid6uj9u1eLLoAAnmirnMj47PYsTevl6GH2oC8NHLVr8ZmdvDvFPVra3H7ilSL13jJ04dkM2ApR3efW0LmHutlJHn8g+czbdLtI/8syZ2QF2I/98uO/dPhH+sWue8wCge7znnd6N3W0ktl6RA97b80hbUoHJQl6oC+VfXjO9e2Mve7FQ4hzQcsiHfz9nAFDexj723X/KUB+d5ilq+/UjvkyRMBjMS4MNfDFSxOOQ15gKwp0+zu7+k49oRk+eQUhtXqaoQo775Fly4OUbS5NTRrg634uMWBUS5CmsWHwnumHrGDflvreHv7fpVGJBccebCh780YqFvX1IMmD6gUebh9mJe695nPznODfd3eUDei08YT9y+dZdv37QVbV9Wrdha5NKpszZ+9++vjS53Xsbvh7hQwL3bP20WecCpv3wx29fj3W/8c2o2HlHZQgAtKYLKVWXa872GQPm/E0OWrr170O7vpvifWv5mLd+z0CE8+itj3ZO8BB3WnEv+eBbgYxZkTAYzEuB9+kWYwNIhbsOmHLheXbvDu7yeapdJ13nHiKqvE522eQwzPep6atS07UIpni6v+fv60WRLFuppW0O/b7euVz7v69WTum6nLLzj+rYtVv33oNHDIjxFgEAJXVydxQTBOfo7u4oKti5dMWt0MVXdn3QVAAAfboHa5v1+/L7c1NXdyYAgHksGHR3y9uhFHAJJwFpRL03H1w7zIUAGNS/ORXdcfW3Oz/oMVWyv8xCjOoSs3dy6ZbTv1n3+Sg/EgC6BKX9Hb0x4TkLXmJHdycpSYgc3DycJLKyRarybcVgMCXgHnwxEgR4Dh5TDixL7t7GXb1IDxpODxha5SV1aTpm7qOnDS5f/zYlfbSzU1Kr6DWhwf7mlsqXCeHSdv7Wm6mZiRf2/LhwQKDiwrp3RrYObjJyY0Lp0IjMjRNn5A27d/YoytPDNO3Szj771s0U/VJ2KqB9xyDD5wph131EX5di/cSvTRwbyV6/dIcpr5AS6Gb/23po9Sg/XpH1+M75vzeu3f+Ie3EGrKKlYTCYKoF78MVICcgAvOYHUzZaLb/xJyItRTB2CtkksmplPFSpv3yWvDU3T0ySs3285/l6izVq+6pHqEQ8jwiSFDg1bDuoYdtB0z4AbcqxL8aNWjr37V6xB6Z4GT3R2uwsme7elx08vjQugG4iK9JbU9Ldy+3f733S1ctoYp/09PEgVEVyVsuaL8QA8/zvJbMX/3wsTibwCGzUNJSyMdG4yhMJg8G8FLgHX4wUQE1iA48pA7Wa2fAjSk/jx06umnW/LlcMe5DQ+OrNv/Nli3y8nrduuSwowF0oeBmh2LtLoqQNZp82XvUu8uvxwaLBzqr7dx/9d7BfaGsrEnX9MZVDxjD3Po0qNuQEYfQ24HMzs/+9ns/JygVHN2e63EKK8z9ZM2HUdykdvr+QVihLS7hy6LvhDUzMZVSwNAwGUzWwgS9GShIq3IPHmESt0v2yhs/OIidPRwFBlboUARzOLxiQ9OS1G3euyxXfhQQ9jGq6yNfbsTrc1NOBzSPtMg5sPpRt3OPVJd64WyQMDQ/6r0kVRLVtSd88fDSzJC9zf2X/yK5fXDO5KQ7Jj+88nF88qK699duW25K2HaMEFSyEeXDjLhs14e0RUR5iAgDUT5NSTaycq5xIGAymkuAv5WKkBKmqh2F0MC+NUqHb/huSFQhef4v39gFd6bntslBx/LbszO9S0xNU6sYS8W/hIaPc3QQEodFoqk02u34ff9mn04zRrdMmvzGsbYirSJeTeHbrmo1xjeYfGav3IkOSFJdy99KdVlGNR783+bt+8/pOzpw3PMZTcXX9x59d8P7iy+YCABMGFeX8Oa2/U+aC3t75Z9cu+fZxxLsbBrkQpHPZhRjVFRnUJIzYs/mr35tPa0KnXNq6/Os/cjjhk/uP8qPCnf/9jCZ9yy6torcZg8GUiRUZeC7l2I8br2pFPISMmDUkTFy7tUtJQkVUfUU0pl6C5EXCLb+AWiWcNpvw9uErtsT9mUa7OiV9Y25eAcP2dnH6ISQohiId7O1rQEC64es7LvqtXrpyy0+LNmcWsSIX/ybtR605uWhyjN6bnKDloJHhh77r1/nhhqTd4789usd14Sfr5gz/FFyCXxu48sin0yJMTxIIu3y4rmviqhWv/5InCYrutmT/VwtbSQCAcOxeZiHGdW3Z+Gva7E/fHfAH7xnRafT7x049m9X/3Tkjvo289Xnzf2sxVxoGg3lZrMfAc08vP/Ad/96QgNTtSw7FDwir5Wk4KUmpKdyDx/wLkhUwP68mNBrB9NmER/mubHgEB/MK1qZnHM4rkFLUWDeXef6+YVIJABQVFdWYmKKAngvW9VxQRirpOXjt7cFrSw4D+ny8vc/HL+QSdPrh+b+bSKhG711VvAcAMPZ9E0UKyiikVF2jvz82+nuj1CNps4p/dVub/m8onrJKE3Zdk4r3tWAwL4X1GHiq4fC5wbIH/2w5lOjbJbbW+9JSmtQBySIkqA534pi6DirIZ9avAp7XjZ8qKs+6p2t1v2RkbkjPTNYxTWykq0KChtrbuUjENI4Hj8FgLEdNv4CYlCvXueZtGhTvA0IFt7b+uPHEw0KRf5vRM6d29Ka55NNbjiRyQd0ndg+iCBv/Zm3bPttyJVHV4jVT+2pqDilJAQ8qjnd41WbilQqgKXgJhy31kNxs5refgaIF02dr6DIHjDmEDuXLNmRmHcwroAmiv6P9lgC/Dg72AKCqpnCxGAwGU2Vq1phpU45uXPtPoqZ4MS5SXtm0+rLHlJUbf3o7KvnXn45lI6D8O0+cNm1K9yDm+s+rTilsPRtGNbYryK71wTkpTQOAknm11vZwN67SPyznVnzOnT0JOm35F7wKZGYQv/4EQpFgxhzC2cVkljyG/So5ten9hP7345PUmhXBDVJat/wl0F9v3TEYDMYaqLEePMo+8c0nm65myrnI1iXnmAeXb7n3WNHMgSYc+vQJ/+voTVlsrFNxR13UuL3nqu+/vGEDyG/AjBIfWnl5eXPnztX/VqvV33//PTIbEmbmzJnDhg2roIwcxyGEZDIZAFAsC0Bl5+VJS5ZJ8zyvT9L/1ul0RMnoPcdxxkkEQRh6bMZJ+m29hlXTLyYxDGMoxNhHaanytVqtyar1t0KtVpdVvq5EF47jCgsLDeXzPC/LyxMcP0zfvMqGNyFICh3ez548yr7Wmm3+moznX0Y1nudL3bqaUE2r1ZaVVPH/2otJ1OMkwV87kL2DbvQkFQKQyUqVH6fW/Pz42fZ8GQcwwMHu5wDf1jZSAACVUlcx1fRVV0o1jsPe2TGYWoJlWY1GY/zyNG6AFXyDVaGZgym7oNPp4uLi5syZo7dWhrqMfwOAi4vprkiNGXjCvdvba7oxV1dOOVRyCuWnZ5LeHfW2W+Tt65yTnsWDU/HYMCENH/7uJ6WLEQgE4eHh+t+PHj0KCQmxsTEX2yMwMLDiE58IIZ7n9flthQLQ8NqSQ/2NNhTFsixFUYYbargKADiOIwiCLBnYN07ieR4hRJWMfhsnIYQ4jjMcMgxjXH6pqkmSNFm+/rEzWb7eyhpXZ/wbiorEf+0gMtK4nn2ZFq0oikJdepAXTtMXzlDXLnFDx6DAYPNVm1GNYRiCIGpNtVJqsixbkf+ayarJS+eok//wDYKZQSOoksfMcNVNpeqL9MyjhXI3AT3b032qm4srATRN14JqBF4XgsHUFvr3ufFbpTbfYMZ2Qf8Gc3Nzi46OZhiG53lDgfoukF4qhFB+fr5JXWpzERDSanUiiVh/nwiJVKQr0pYX38Xe3n7x4sX635s3b27atGl0dHR1CaRQKBiGsbW1BQBHG1vQFPEkqT/keV6lUul/A4BSqRSLxYabW1RUZEjSaDQkSQpLwn8ZJ+l0Op7nxWLxi0kcx2k0GsPHikKhkEql+gcFIaRQKAw5VSqVQCAQCAQvFqL/BhSVODo1TmIYhmEYqVSqP5TL5TY2NvqngUtLYTate2Brf3bk5FOk4My9eB+RqK+Lc5/Yge169UPbNtPbNtGDR1KvtVar1RRFVVY1pVKp1WoNh+ZVEwqFhqe54qqxLCuRSEzeVbVaXZH/mlqtpmn637uany8+vJ+7fplq35no0YcAMFbtERAfP0s+kJvfQCxaG+g/2c9HRJKGu1pZ1TQaDUEQlVKNfNXWhWAwlkP/0iv18qyFZg4v2AX9Gyw0NHT9+vVarVYul7u4uOhf48ZvMI7j5s2bZ1KX2jTwhEgk1OUUT8gjtVonFImspmciFdIAoNbVfx9af165MrdN91yBUCBTxNjbTfdwS2W5jZlZX6ekOdBUlzbdB6Y87vXXbre8HOjYzdLC1gaoIF+4dSOXnkoPHUXFtNXpdFAySZGtY6Y/Sf5LVugvFq0LazjO1RkxjAibWwwGUxeoVQPv7O3JX8uQIXAlQJeVUeAW4VGZV2VKSsq9e/eOHTsGAL6+vmPHjq1G4aQCIQCo2Hpu4OMKZNMd3NsANz+ycQcHe1uK0n8kAkleLpIfzCs4kJM72d6N6j6oVUFu36NHB3boGOHibGmpawyW4U6fYE8fI0RiwdSZZFBD48TTssIxcYlanlsdEjTVy1NIEizLvlqLMDEYjLVy5syZGzduAABCKDMz02SeWt2nK4hoE7V+x9HH3UYHys4ciw9oM96xMj345OTkgwcP6pcteHp6jhkzphrnJm0EQqjvq+iVHDf8fpy3VrUlIszD2ck4iSKIdg727Rzs33N1kglFf+fl//WU/FTHvn8vPkoqGeHpPtLd1fQqjrrLwzjdwX1IVkC17ahu3V7k5m5I4RF8/jzlk2cprextN/j7hJexgAWDwUw+HiAAACAASURBVGAsxebNmw8ePAgABEFERESYzFOrBp6wiZm6IGXVj/Pf1NBuMdPm9nKvlH1u167djBkzqnEO3hipWAgAKqY+L1d+K+nJU5Y7m/bEpmN7M9n8xaK3fLze8vHKib9/+PTJXV4BS9SaRU+eR0slE729Rnu4ugnqsi9RjuMf3CUvnuWfPiaDQgQTpxGeXsjI01wOw05MfHyysOhtP58vggLUcrkFhcVgMBiT/Prrr5aegxfEzPs9xuiYsA0ftmhlRbex1SY2ArENxz1j6u0Q/S8ZWb9lZq+Ju9W8aZMKRjuxbRA8qr/DqN83FAJ5aNDIP9S6+Y+fvv34aayz0xhX594OdrUcL+AlIfJy2XMn+RtXkVKBvHyokeMF0a+VynO5SD7sfrya5/c3De/n4gwA2F0qBoOpo2BXmsVQQkHvnPQdAv8llpakJrivUs9+9HQsiaakPiHGjq/Ele4egpnzHX79adS2X4YOGSVv03JrVs7mzOzRDx850FR/F+fhbq49nR1rTPBqAOXn8fducXdvC1OTObGEat6CatVW4+QCL2ynXJOWMe/x06ZS6baQoBDssgaDwdRx6pKBT0xMPHr0qH5HQUBAgGH7XPUgFIxIf77L0++WQhlla26rfZ2DQWji0+QGYtGqm+fIoIaEvQNUxpEqYe8gnDGH2fKLYPvvbh27Lugeu8DP51qBbEdO3t4C2ZasHHua6mVvN9TTo5ezY7WEOa8WUF4ueeMKG/8A0lOBpsmQRrr+Q21btQGBEABA/Z+euZrnZyUk/ZaZ/YaXxzcBvnV5BgKDwbwS7Ny588yZMwCAEMrKyjKZx1pexxWhoKDgxo0bei8/gYGB1WzgaUFPEjny3LasnHpm4Hfn5CVptJeCA6TPnpBDR1elCLFYMHmG8uA+OHeKv3OTHjS8WVBIU4l4RWjwLYVyV07uzqycnXEPaYJo52Dfw86mp1RiqZX3REEed/0Sd/c2SkshaZpoGEa170w1bgoSibqoqNi6/5dHas2Qh4+TtLoNYQ1f9/LQb/GvfckxGAym4ty8efP48eP63/7+/ibz1CUD36pVq6lTp9bQIjsAELRuP+DR0+1C4VfBDWqoCovwQ2p6a1ublokPOIqmmjSrou2iKK5zD2mrduze7czGdRARCbH9QSyOsrWJsrV518UpWyA8mJd/MK/gs7TMD3i+TUb2ZC+PEW6utRTERqXi7txgr1+hU5NZmiZDw6n2nbUNgkQOjpTZODrbs3OnJT5yJMnzUU1b2NnWjrCYuoR27xj3+S5rZt2fvqvv7fNvN8ReEDBWwbJly77++muwGkc31g4X3nTU7Vu/sdyFwqK29eVdf7VIcalIvinQnz97mGzUGCQSeInuKeHhKZg+m7txhTv0F3y/nG3ZiurUTR+RpaFEPMfXe46vd7Zcvicnd6dcOePhozlJTwY6Oczx823tWDNT2giRSQlM/H0+/j5wHBEcygwcbhP9GojFAICUSjOXanh+VuLjdemZg1xdvvfx8K8v/3FMNSPs/OmJvYJAT9XpWCc/bN0xdQn8vBpBkl0jm7nrNNueJ1talGrjh7R0X5FwIKNGWRlU8xbVUCJBUC1bw+x3UftO3J2buhWfsdu3ELk5hnQbkhzh6HCiWZPHrVu+6+97UaFsc/tezzsPzsgKzZRaadRq7twp3fJPBTu2oMwMuntv4aIl1JQZKDIKxOWv7k9Ua9rfjduYmfVdw8A9TRo54mi5rxqakzP9aWH05w84AOAefNHSddifBQbP2Xzqmu4usT9nIC7jzMp3po3v1cQ3uN3wSf/7dGeC6eUr2ri/9t79N0kZt2VmlzBfr4CIrm/+Fq8xcxKU9359s3tkgKd3o9jFRzJ4AADdybd8BQKxRI+tS2CbCWtvKl5KXfbqe007rXyCp55eMeqSgWdZVi6XFxQUFBQUGELxVC/Clq2H5WbuzC1gzcasqytk6HQ7c3Lf8vESPrgLYjEZbtoZQlWQSqFLT9GiJXSvfnxivHD9D8ym9fyjROMsDcSijxv43WnSaHOjhqlabefb9zvevn+y6OVeVACQnUn8vVe79CP20F+Ej59u/OvCt9+nuvQgHCq0mF/N8x8/S259P0HOcReiIuf4eluNu2RM7aE5v/OQXavojH17EzgAqtGQoUFndv8jKwlsnX3kwO2WQ/oIjszqOmKrcMLGq6mynPi/P4y8saDr8HWP2NKlqeI3vPPW+quK4su1lz8b8X7muL8fpcftHJ764RurE7kyToLy9OKR3/KzDiamx/0adXT6+4eLB52oJu9fkavVarVaLYv/tcOD995cHf+Cjw68VuSVhuO4ghKMI3YaU5cM/IULF/r37+/s7Ozs7FzWmoKXRSAY4+WZQ5LHU1NrpPza5af0TAqINzzdyft3qCbNgK7u5eEiEdW5u/C9T9he/VBONvPzat3KL4mb1wijp40miHHubvdfi94REabguEFJTwbci3+iruBWfCNYlr99nfnpe/6HFcSDu1TbjsJ3PxaMm4L8Aytexv7c/Iirt5Y+T33D3fVasyYt8bD8K4r67M4jXhNWLe6dVWzhQ4cMDT6z52ghAgBAeUcP3GgxpFfWqkX7mnx38MdJrQMcRFKPiP4f7flz7LNPPz1oNBbFP980JjwwZv4/eYYuAZtw+B/1wNkTQsSETePXFwzIPHAomTd5EtSnN+/ynPFBfz8R6dj2k2OXlnYQvSAr7d5haHevtGepBgPP3vygeZtxb7QP9PZwCeixZM/Oxb0jA709w4euva8DAJR94tNBLRr6+Xj5NOr+7t/ppb4C2PRjnwxsHujl4Rc9fPm5vPrQk3k1GTFihN4auru737lzx2SeujQHHxoaumDBAi8vLwBo0KBBDdXStnXbgDPntyUmdWxTtx2Uanl+XXrmGA83l7wcXVEh0aRZTdUkEHAtWtl07s4/jOcunKYO7pUcP8Q2jiQjm5MhjfRZSAKGu7kOdXXZmJz6YVpmxLVbC/19Zrs6m1jUXgqO45Of0rdv6u7dRkoF6d+AGDqaaxQhsq/cpP6lIvmnj58fKSzq5Oiwv2l4MEnQdH0elkf5eXzSQ0tLUbOQ4RGEvUNVrlSd3XUsYOSJZt3ie878aG/CoogIquGQoQ2/3XOscORwRyQ7tv9K88GrtCdHpXdZOMDDaIhHGjNmiMugf67rBnYrfnTJgElb4ydpD0zwX2PIxXGswWwSJMk/TXrKgqOJkzz/8BHh6P3r2PY7bxW5tp689Ou53i8Iy+Zc+uuMtsP8Zsaf58y9ONejdzNapHzRocXktcsuXXnid3FWyzc3Xp/6TaukDYs22i26+HSYR+GhGW0+3Ty596JGhgv5p+snTb3Q86+7+5ooDs/uMW5+2J1NAyvlMhxjJXz88cf9+vUDAITQ6dOnTeapSwbey8uresPFmoSQSEZSxE8kvVKlNETxq4vszpdl6ZjZPl78zStAUWRQSM3WRxBko8Zko8aqZ0/5m9fIpHju5lUQi6mQRnzDMPD2JT29CIFghLPjCF/vJc9Slj1P3ZyRtSIwYLine+miNBpIT4XkZ8yzJ/zjJNBpSZGYbN6Cat2e8PZhGAbKGI96kXStbmtu3qbM7ASV2ltAbwkPHePhRgCo1fXcQx1KTWb3/GlpKWoWwbRZVTPwqjM7TzQc+VEAZeMxrFfWh3oLHzxkaMg3u48XDh9GnNx/qeng7zzyfyhw8vL47zco5enjIYvLYQDK/jalG/eJlYxauWFKk3GeSeuX/Zms7KMGuq2Jk0itVGb/c0S2fcf5tfyJdwaOnON/a8tQVwDg7i9r6/QNCQCsVsm4Dd18edh/HHvT4YPHtnIgKHHzxk5t2o0LlxDQvEWI9pICARUy6/At2smR1ORmFzKgKJIbddL5jMN7HvZaeKC5HQF2veZP8u3+z01mYNfyP7QxVkdkZGSLFi0AgOO4Bw8emMxTlwx8rTEmMnJ5fNLRm7fGxMZaWpaqsyYrp7OjQ6StDZOUgHwDQFhLjRi5ues6d7cdMgKlpXD3bqP7d7j7dziEgCAIF1fa2VXg4PClRDpRYjtbJxqRkNQ94eF3nDpMpxHIZExRIcrJQvIiAACSBL8AqmNXMiRM4egsdqyovzwEcE+hPFogO5STd1auoAmiv4vT18GBbWjS2aFKHb46CBkZJYqMsrQU1ony9K6DKRf3vebzKQCnypcF6y184OChoV/vPl7YS7D/QuMhK7xptZuT7E4WA2DUdeayM3Mc3FzNz3WJ23y0bcm7Cya0+oYK7TewT3i8VGr6JCGWiKU9Zn7cL9gRYNDCyV+3++uSbmh/AoBqsujitU+a0QC86tm+Wb3mLT05dG33f1ePEiKxCACAIAhSIpUQAMgQeot5fuC92cuPJlOeocGEDnkai8ZnZWQVHJjTOqq4KMKrFx6jr8dgA2+CZh7uje/H7ZIrxuh0tWYXq5eLRfJbStWeJo2AZfinj/l2nWtfBsLHj/bx07TvIqUoyM5EGWkoPY3PzuTTUkClClWrjmi1u7383m0UFSWUzJTlLspId3J1JaNjCDc31tEZPLwEhnF4o2AwZZHLMEdy8w/l5p+SKzJ1OiFJxNjYfBMUMM7Tw0VAA0BRBQrB1H8Up3YeDfv6wcnZASQAKPZPCPlUb+EbDB4WtmL3/oOSs2GDP/cmKb57N4+VW/dnDxxl6Dyrb2zbndP58xjzLwWk5byGrDw2WQQAir8m7DwbHkybPEm6BAdKLxRfRZAkRVJk6dFyUtqg39B2//s2MY/v7lOBNVN82m/z308eevL+zDAp/2Rll0HZ/ynN2cXZY/inV37oJAQAVerdJNSwTr7hMBUCG3jTjPTyWEaQsmuXHdt1tLQsVeHXrBx/kXCAizP/KBEYBgXX8Pi8eUQiMiAQAgIRQmqFws7OTn9aJZePkEgGEeTS5JRvaHqrf/AcX59p3h6uAgFbsV0SHELXlaqz+bIj+bJrRXIeIFQsGuHu0tPJqZOjPaHRiMVi845uMK8aipM7j/rEvudbbCttO/Zt/2y53sL7DxoW/vlHi0XBCz72IQHI5rOX9Wv/ev+5/Nr3BkY6ax6d+GnBW7/7fniqbznrP7j7K7qOzVp6Zl1fyc0fVp6NGv+FL2n6JNFxYMe5K7+50PuTVrrj32161uWjVgKAFyJeCYW0/D8j7ebQabS0q4+7BLicc7/svKtuyyKAks8G0q9nH9feX/30evT/mrKXPhsyPmfJ3Q1+lbh9mDpFXTLwcXFxu3fvFovFAODj47Ny5cqaq2uEv//H2fkH4u+Nb9MeyLq01wAAOIQOFRSOcXWiCIJNeggSKe/hZWmhTEFRACClyM8DAyZ7enyQ9GTJ8+TPn6eM83B70921sVRS1nXJWt1ZWdGxfNkJmSyfYW0pqquTw4+hwT0c7D0Qb1g5Yc7NDeZV5cTOo6695gcbvvocuvRtPX2V3sL7DhzadOECfkF/vfkn3PquOfnHt+9/Oipyehpj6xPecfS3J98ZHFreW5NusfDn6VOmv+b7ltS/9diff57sRwKQpk6Cy7Bvfrz5xlvRfjmEd8e3/lw9zNXEejfKy8896diJ5wsbBZX/KiIbjP1g3IH/RTX62D2g7cQRQ8hl/1s68sr7hrIaz93yTdaMkY2/VNAeMdM2ro+tw+uMXm3WrVt39uxZ/W9lGU696pKB1++D1y+PEovFCP0761TthEolTQT0blvnsfduk81qdllftXOxSJ7LMH0c7AGAT0ogQ8Ks/xslWCJe18D3W3HDNWmZ69IzN2RkRUgl4TY2oVJxmFTiwrI5Ks0DpequUnlfoUzTMQRAc1ubqV4e7UXCnl6eIpIEAI7j6v3qOcxLMvD3jIHGx4T7pL9lk/S/Sb+3TqjeMk6lfbot3NRtYXmFivr/ltXfqEyH1vN335n/3zwmTwLp0+/LQ/2+/M85Ydc1z28ZHVMR71/Pf//fYzr689vni7P23ZjeV1+886QDzycBALj1+OLEwy9KMs+cq//75b0zxbIGD/v22LBvy1MJY+0UFhYWFBTof5c1TlmXDHxkZOTYsWNrehW9gcHurl9rdbIzJ53r2mKl/bn5zgK6jZ0tUipRRhrVpr2lJaooXkLhZ4H+7wf4bknPPFdY9EinPSmT5THFa+Z9RMIIG+kIN9dmElFvd3d3oQAAioqKRFb/+YLBYDDVy8KFC99//33AvuirxiAnx8/SMg/xMOZJEnj6WFqcSnAgLz/W0YEmCJQYDwiRDcMsLVHlEJPkeDeX8W4uIpEIAPIYNiE/v7GLsxNNAwDDMCzLSoQ4pisGg8GYA3d9yiRULGpiI93ToCF35oSlZakECSr1Q5V6gIszAPBJDwkXN30wmLqLi4BuKhE7WU2keQwGg6kTYANvjuFurv84uckfJRKZGZaWpaLsz80XkWQPR3sA4B89JEMblXsJBoPBYOof2MCbY6S7qwrBP/7B5OXzlpalohzIy+/i6GBHUUReDpIVkCF1bHweg8FgMNVCXRr2VKvV6enpji94NPPw8LCxsamJGsOkksY20j1hkUOO7UWyfuDiWhO1VCN5DHupSP5Dw0AAgEdJQJJkUENLC4XBYDCYaoBl2dTUVISQRqOhaZqmaQDgeb6s8Kp1ycBfvXp14cKFcrm81PnY2NjDhw/XUKXD3VxWaDQKgdD+0jnoN7iGaqku/t/efQdGUW0NAD8z25JN751AGgEiNZRACC10kBKQIgIqoqLwsD3lKXyKWEEQEUVEAfUhL6FXqRKqEUIJJZCEEgIJSUjZvjv1+2NgXZNJTN1ll/P7a3dm9s49d+/M2ZmdubOzrJzj+ZG+3gBA3Mglw8LBWWnrSiGEEGoCn3766YIFC6pMJAgiISFBdHl7SvDt27dPSEho1arq40EjIiKab6Xj/Xw/uFWwr1tiSsZRGDAEnGscfeVRsON+eSc31zCFgjaZIP8G0bufrWuEEEKoacyaNUvI5SaTSSKRmI/gN2zYILq8PSV4Ly8vKzxNrop2Lso2SuctbmEpDMNmnJD0Tbbm2uvFxHEHKypfDwsGAP72LcJkMj+tFSGEkL3z9vZOTk4GAIPBIJVKZTIZALAsu2vXLtHl8SK7fzbOz3ev3mDo0Jk9fqTuDyq1viManYZlhRvk4EYuL5eTYeG2rhRCCCHbwAT/z8b7++pZ7mDH7rxWw547bevq1GivSh2ikHdycwUAuJ4LLSMBn7OCEEKPK0zw/+wJF2WMk2ITw5Gt27Dph4B/FB+gzAPsU2ue9PEmAMBk4u/c5ltF2rpSCNk/09bJHq1m/3dpP9eeS/I4W9cGoXqwp//gbWicj9fye6XG3v3l33/NXbkIYS1tXaOqLmh1hRQtXD/P3cgFlgXbPiIWIccg77vw0FZZq0D9kSFeYXhEhOwJ9tc6Ge/tpWPZ3e7eZIuWzO8HbF0dEb9XqqQEkSg8QS4vh3B14339bV0phB5VxsOvtJDKOy+6zAIAe/mjeN9xGyvM5+a4O98k+wz5vohni9KXvTXzmcFxoZG9xk9/dWHaVX3VgrJ/eikp0t/HL7Tt0Le23qCEz9/bv+DJDi38g1v3e+XXXApqnMhd/6KXgnhA2mL2ERoAqMOzQmUyJ2eBq0+rhKnfntU2Klzmz3ee6LPsRp1OQOhOvDd9yeUmvdjIdPzzZ5efZviKna/N+OFWTbWoTyXFPn7h/fjExblsXZds4GrsCib4Ool2UnRwUW4sKZUk9ecL8omCfFvXqKr0SlVnpbObRAIAXN41PjIamu1ZugjZO+PxtD1u3TsXbdt6lQWQxI5NiUjfvK/yQYbnS37beT5+7DDZb7P7P7VBPnXtn3cqS7N3zW+f+Ub/8d/lWeQ+Lu+bmf/OHf6/ayX3zn/X6eiLL/9YwAFfuePfL2yLWJJ559qvgy+/+coP+RyITwTm9o17A78vNBiNRqNRn7esz4NnKEni3s3QGAwGg8FQmf1j78vvvPx1drXMxXHN8I8Be/XbTwpHzmjbpCd3mTt/7s28xxJew16I3Lpol+pR/JfTIdlTgs/IyJg8eXJkZGRkZGRiYiJv3f/CJ/j57C2vqGzdjvD1k546Zs1V/yOOh+MqdaKrCwDwWg1ffI/A8/MI1chwNO23oKkr/jO0+EGGjxmbEpm+Zb+Qefiy/Tszu4wdXLxi3ra4L3evnN4j3EOhDGg3csGWjU/fWrhwt8pckO7PY1d6Pv9yvJdE4ttr5qTYrIyLDBiPbd0f/ty/BvjJ3Tq/PKvXha2/FfPiE3nNrdtEy0hfJ4VCoVDI5VKRH+VS/94pyUF3b90xJ3jm7HsdE6a8kNgqOMAnfOAHW9L+M7R9q+DANinfXqIAgC85tHB0l6iwkKCQ2OS3dxVW+RXAFB54f1THVkEBYZ3Hf36srMpelDr1/ZaglCGeRPUl2dtrRkQ++WMBB6A5PKdd/IIzxhrWpc/+6aWk1mEhLeMGzvlfnuHat1PfO1S+e+6A+elc7FP9b3//v6p1qv4FXdvwar/Y0MDQmF7Prz6vFr4WsXXx5aeWTOgcFhDcuvcL67KNtcQovqQdmzt3rpANY2JiLl68KLqMPf0H7+fn17dvX2Go2pCQEMK6R6gT/XzfvVWwvbxialJ/fmsqf6+ICAyyZgVqcUGnK6OZRDdXAODzcoDniQhM8I+1ApPpD3XVMR8dTB8PD/+GPTVYf3TTgfAJhzoMyB70yoKtV+e1ayeJGpsStXTLAdWE8Z585YEdGR3HrDAdnljY799PBljsZ5TdJo/1Gb3vDDVqgBwAAFxGr7k8zNUdAICvPH/2dos2rSRcUe4NScykEBIAwCUmNuh27i2GCxCZCH63b9w2HH8vPiynEEISZyz5Zn5yUNWDLqb01PZ0U+/XO1iGSl+84rs/q6hLwUe9uzz77SenMm6EnZwd//LaMzO+6J67Zt5at3knb44LUO15KWHh+meHzvtrPAzu5urpM04M2p61LU67d87AKa+3vrBulKc5RCZrz5GA3u8qxZdc8/mL68cs2DV0zvl5RwYuORHvxF5ZWn1dbMbC8R9q5x+8/pR31sJBo97deXnjT4sORe6ZdujDPjJgkuKLPj5U8cJUn5r338y5zya+feuFfTkvR97bMD35qf9rk7WstyxbJC7DofemfCdfdCR/vPe5RcMHbeDia4pRKrakXUtOTnZzcwMAnudzc3NFl7GnBB8RETFq1CgrD3Rj1sJJ0cPdbWNJ6bNdujMH9jJHDsgmTrVJTapLr1RJCaK7qxIAuLxrhK8feHoBTdu6XshmTqk0E65cs3UtmtfhjnH+co8GfFCfnnYoasKCcIlLwLjBxfOFDB85NiX6i80HVePHEYd3nHpizJcB5V9VeAUFyP/2UUlgSEDllVIaQJhOKn0ClQC8Njv1veffvDD6x2WxEv6y3qh0cxXyF+Hq7mIo1fO8XmQi8CaXVr1Gv/jFvCH+xdtnD5k6J/pc6uQAAGAvfdLT6wsSABiTjvZLWf/HOH/LhChtM+bp7h6ExKljW6+EXlPaOBPQsUu06ZSWB0n07L3npF6epPF+iYoGrVpjcZDOFe3dcm3wv3d2dCPAbfDr00OT952lR/V/GCRfcSGLihnlTogvyY+avXhszynJT8u7f3asjxsAiKyLubBtt2TC+pRwOQFd5qz6PkPyt0wujW4bduXMFWZq7xp/m7G5e/eoR38+o62SgIgJb076bOquLKZ3N5F1USf+t91/xu9PRTpJIOG114atXFpTjENpkSXt24gRI8aMGQMALMu+9tprosvYU4K3uQn+vm9cv1XM8a7dekp/388nDyV8/WxdKQCA9Ep1vJurK0kCAJeXQ7Zui/9xPeZG+/qUJ3a3dS2al1sDh3nQHdm0u+Dktq4hCwFYfXllpJDhW41JiVmy+aBqsGzHibZjFwdLDX5elReKaQCLTMSW3Cv18PO1zE1cSfrnz89YcS9pwdYjM+O9COCUSidDvk7YBnmtRu+kdCYIsYkg6/HOtlShmBYj33r2s4Q9f1CTRxEAkrh5J0+/30EKwOlvbZs9+LWPD6d8m+xkXimhcFIAABAEQTornQkA3nxKk87f+c6cz/fflgTGRBIUH2gZO1dcVFyx8189Oj0oiggabLmv4CrKKl093Igal3Tu+txk3y9Xdls5SDgAF1kXW3LvfmBCiAQAgPDqMGwIAOgs1uHk7qYrK6/tHD1XVloZEBYsfLuS4BaBFRn3OQCm+rqosvv6kORQYUmX8FYBkppqLrqk48MEXw9Cgt9cev+ZLt2JP46x6YekKRNtXSngeDimUr0QFAgAfFkpX1FORsXU4UpS5MjkJCEncesWo/09bX/rJZcPzwknAUC7Y2r0QiHDtxwzrvXizTt2Ox9tPWZRMCnhkgcELNuwo2TURPPBsyHz182lfRd1++uwXndqwdCpJ0b8eGb+gKAH7U0GRUewu3KLucFhJBhu5N0LT2olJT1FJvIlf245Ke03qrM3AUBIJFK5Ql71xDWpbDkipderS3PKuOSQOlwzxd396fV3b6ccvvRKayV3Y1m/0SV/K83bxztg/MKMr/rIAUB/JyuXj7I4R0F6envo8rR8TUvy5bs/W8clBO34dO1rSS+1ArF1kV7eHvfvlXAQIAG+/OS6/+kHvWj5JBRKo3X28qwtEtLL16P07j0WYiQA7L07JR4+3oRoXHJfP9fC23dZiJYAUMVFZZxPDTWXHxdZ0vHZ00V2Nhcol/fxdN9Ycp+XySQ9+7CZGXxlha0rBVk6XRnN9PF8cIMcEAT+AY9QTbSH0/aHDBkc+mDX55o0PPHW1q1XWQCyxehxbQ4u+M/+yNEjQkgAacc5n4y4MHfk3A1ni3SMqezqno/GTfg5dP57w90fFsaX7Vi6Pvj9X983Z3cAAKfeYwfd/GnNWR1PX9/ww4knxgwJIMQnSm+lzXp24aESFpii/V/+dGfQqASxE9dyuVTztzPttaGMJqlviL8zsKXHfkjLm5yrNAAAG/tJREFUMtCMxQfJsEHDfLd/tuqChuMqTnw4dvSKS5bH0oRXXDtJXq62hiW1xxbNOz/2mx0/zNIufndzCS+6LlmnkYPU//1y112G12V998776RVKAoBnKYoDAGDyrt2J7dhGCsBX5J05d0tdPSxJzJAhyq1L1+cYgb69ZekG3cDhHWSi65J3H5lc8P3HW/MpTnN2xbIdFVxNMYou6fgwwdfPBD/f4yp1AUVLEvuATM4e+93WNYIjlSopQfQy3wEfHEq4uNi6Ugg9og6l7fcdPDTSfIbWo9/wHtcfZPjQUSlPFBdFjR4ppH/Cb/g3h/+bovpuYvtAj4C4Jz/Mil96OO3FmL9yOZN79nzRrueCyAd3sktCZx2mgPB88stfxl58Mb513NhNbVesnRlOguhEwjtl2bqxBf/pHRHSMulD7YtpX470FLn0TBIU5p974FB+nXIS2fLp96bcfbtTbIeEpzcGPzWW/PnVj0//dWOfpO3cX76I3TmhbWiLzq9eG7P20yGulp+WdRza++6xDL3Ykv2uLX5jT8+P3uzi2vbVz8ZcnL/wsE50Xc59FqXOZT/p0yqszcRDXb/6fKwXoYjpEn10Ts93jlBc4YnT3oMG+BIA1JEFA55ckilyw72sy7yNHwf/d2RMSMSAZdK3Uhf1ca4hLo8RSzbO0H7UOzwsfs6NJ19MktcYo+iSjo+3H+vWrcvMzGzCAjUaTXl5ufmtWq3mOE54zbKsRqMxz9JqtQzD8DxfTtPy9BOLcvJ4nqf3bDe++4bhfqnJZDIvqVKpzK9NJpPBYBCdxTCMVqu1rAnLssJrjuPUarV5lk6noyhKtBCj0Wg0GkdfzO6ReYHneVVlpemDefTubTzPUxSl0+nqFVr18vV6fQNC02q1ZWVldQyNpulaQhOdRVGUXq8XncUwTN1Dq6lVawmNpukqrdqA0AwGQ31DW7Vq1bZt23iEmh+dtWjIjB2qf16wQZicJSOfSb3/YF+k3/H+ogy69k9Y2fr16zds2GCTzZyvlhcs92BGo7G0tNS8G7fcgzEMM3v2bNFw8Ai+fryk0mQvzy0VKgCQCE9bt+k98cIf8H09PQCALLnH67RkVIwN64MQsmvSuNlveW1em9Msl/GoD62+NHj+WOECPTZ3X37HCZ3xSpFmhAm+3ib5+53VG85otISrm6RbD+L0KTBUHb7Sai7p9WU0k+TpDgDEzesgkZAt8RkzCKGGItz7f7r65Yhmucrctd9H38+KflC0JHr0q6OiML83J3tqXYZhdDqdSqX650XrRjjxYi6QZVm1Wm0513IW8/BJ8EMVsmiFfO61vN3RrYhO3RR/nKCO/W7o3b/6p4SRJE0mU/VZVcpkWZZlWctZlqs2mUwkSYqWf/B+mZQg2hOgUqlkN/O4kDCVwQAGg3A2iX54K3ztodE0bb7FpsosgiAMBkP1WcL5H9HQWJblOK5K09VUPkVRorPMZ6VqmkVRDwb4ZhjGclaVVdcUGsdxwp+m9QpNmGVuVYZhhCYSLb+m0IReUa/QLPsGQs2OlMub59CPlDVTwU2JYRiTyWT9zdw8y5wXhH24UD7P8wBg3o1b7sGERCYaiz0leKlU6uLi4uHRkKEtRGm1WpqmzQVqNBpXV1ehyTiO0+v1rq4PLkDR6XROTk6Sh/fdvhcSOO3G7ZMsNzSshaljvOxMhmvyEHByBgC1Wu3u/uAiW4qiOI5zcnpwO6blLJZljUajy8Or4bRarVKpFLK48NeLMEQRAOj1eplMJpPJqhdiMpkyjEVd3FxDvLyAZY0F+bJ+A509PACApmmappVKZX1DsyzfYDBIJBK5XF59Vi2h6XQ6k8lkbtXaQ5PL5VKpVDQ0AFAoFNVn0TTNMIyzs7NoqxoMhjqGJpVKRVu1ltAYhqEoyrJVXVxc6hua0WgkCKJeoUkaeMM3QqjepFKpQqGw/mYO1fKC5R7MZDJpNBp3d3dhN265B7P8/VHFo/9z6i/p6el9+/YVfrZERETU9JvFCkZ5eiS4u719/RbL83xSf6BM7PF061eDBziu1gh/wHM3rxM0TUTH/uOnEEII2bupU6cK2VAmk2VmZoouY09H8BERETNnzvTz8wOA8PBwK49Fb4kA+DSiZZ/zF38pLp3g6UV07soc+13SKwmcldasxkWdvox5eAd89iVQupChLaxZAYQQQjYxc+bMjh07AgDP82fPnhVdxp4SfFhY2LBhw2w1Fn0VSZ7uw3283r2ZP7J9O9c+yXD2NHsiXZI81Jp1OKrWSAmil7s7AHBXL3NRMUDa0ykZhBBCDZOYmNivXz+odSx6zAcN92lEy3sU/V1JKXh4SuJ7MMeOWPly+qNqbScXpbtUwpcW8/dLuajW1lw7QgihRxkm+IaLc1FODfD7/E5RBcNI+g8ChmaOH7Ha2imO/12lHij8AZ99GSQSrlWU1daOEELoEYcJvlEWtgo38fzbtwrA00sS34M9foR4eFNZczumUmlYdoiXkOAvkRFRvJPTP34KIYTQYwITfKOEKuSfhof+VHL/2au5fP9BwLLknyess+o95RU+UmkXFyUYDVz+TTK2nXXWixBCyC5ggm+smQF+P0ZH/Le4NOV2Ed21p+T0KV6v++ePNdqusorBnh4SguCuZQPLYoJHCCFkyZ6uon9kTfbz8VYoJly5NjIkMvX8aeneHdKUSc26xhsGY47eMD8kCADY7EuEnz/h6wcWY9UhB1NYWHjw4EFb1wIhB1deXh4QEGDrWjQZTPBN40lf7+1xbcZevjoiadi2w7sC4nuQ4a2ab3U7y8qlBJHs6Q4cx1/LJuO7N9+6kM2Fhobm5uZmZWWZh7TjOI60uCXS8q0wAJR5lIjGz7JC+TzP22TVwtjG5lZ1pNCqL2k5cIi9t2rzhUYQRFBQEDgKTPBNZpC35/727YZnXe6TOGj77u1tXpzdfOvaU17R08PNSyqF/Bu8Xke2iWu+dSGbGz58uF6vNxgMPj4+whStVuvs7FzfUXiFh//WcRRey7GNdTpdHYfnJEmyprGNWZaty/CcVcY2FobnrEtoUMPYxrWEZjAY9Hq9uVV1Op1CoWhAaM09InVNodlwRGphwHbR0IxGo1ar9fX1NYfWJCNSu7m5mYdet8KI1OAQ8D/4ptTTw+332ChwdU+M7nDkeHM9RlbHsumV6uHe3gAA166Ck3Ozni1ACCFkjzDBN7EIhfxUt85tCH4IK9mYf7s5VnGwQmXiuGE+XgAAOVfI2LaADyNBCCH0d5jgm56PTHogodvQipLpd4u/LCpu8vL3lFe0cFLEuSihohxKivH6eYQQQtXhf/DNwtnFNTU87I1Ll+cBaAEWtQpvqpJ5gD1l5SN9hPPzV4AkydZtmqpwhBBCDgMTfHORdem6+PSpgPyc9wAqGHZFVESTFHvJYLxjooYLCf7SBQgLJ5QuTVIyQgghR2JPCV6j0eTk5Ai3N/j6+oaHN9lhcbMgCGL0uDdXLnX3D/jXXVAzzPLgJri9cp9K40yS/Tw9uNv5cPsWjJvc+DIRQgjZl7Kysrt378LDOyZEl7GnBH/27NlNmzZpNBoA8PDwqKiosOEj4evExw/6Js88+Jts8oxXikuNFL0+zk0padR1D/vV6n5eHkoJSR/eB17eENehqSqLEELIXkyfPn3fvn0AQBBEQkKC6DL2lOA7d+48aNCg6OhoAPDy8nrUszsAAPA9+5BXLj23b7vr0zOezb0RdOrPp/x8pwf693BtyHn1Mpo5ozMsDwrkS4q5q5dhxBh8ADxCCD2G1qxZU1xcDAAcx3333Xeiy9hTgndzc4uJiencubOtK1IfJCkb/zS1YvHEi2faduqeptX/XFyypqg4Ruk8zstjiL9fNzdXRZ2T9KL8AhJgpI83uy2VcHHlO8Y3a90RQgg9mgICAkJDQwGAZVnzYEdV4PFfsyOCgiV9BrBHDsZUln0SEZ7fI35P+7YdXZTLi0qSzl30Op4x4MKlz4qKbxqNtZezt7xi+Z3Cd4MDwox6NuuspHc/eDhCE0IIIVQFJnhrkA4YQvj5S3ZuAZaVEMRQb68NsdF3Oj9xolP798LDJEAsLSppc/r8SznXC0wm0RKKKXr61dx+Xh7/8vdjjxwEmUzSvZeVo0AIIWRHMMFbhVQqHTuRLC1m9u82T5MRRE8Pt/+Eh+7v0O5Gx3YLW4alltyPysh8KfdGIUVbfpoHeP5aLs3xa1tHk3oteyZDktAbHo7SjBBCCFWHCd5KyJYRbFJ/Nv0Qd+Fs9bkuJPnvsJAbPbq80yJ0Y0lph8vXnr+Wd0n34M6H5Xfv7S6rWBsb3cJJITl9Cnhe0quPdauPEELIztjTRXb2junVV1ZWSm/aIPcPBH+Re+I9pdIPWraYExy09Gb+D2Xla4uKB3p7jnB3m3/77svBgaN8vcFgkGRmSLr2INzcrV59hBBC9gSP4K2IIGRPPUN4+dA/fc/rdTUt5S2TvhMckN8jfk3rqEITNedWQaST4ouoVrxGTX3/NbCcJKm/NWuNEELIHmGCty6FQjZ9JhiN3K/rgeNqW5AknwsKyOra6bfYqN3tYp1Ki+mVS0GtYp55nvD2sVp9EUII2SlM8NZGePtIJz7D37xO/raz9hwPAARAb3e34Dv51LdfglQmm/UaFxRinXoihBCya/gfvA2QrduSQ0bC3h1U0V3ZuMlEcM05m2GI06f4fbvIFi1lU18ApRLUaivWFCGEkL3CBG8bZGJf2j9QunsrtWKxJGkAJCRWWYCvKGczTnCn/yC1GqJDF9lTT4MUvyyEEEJ1hTnDZvgWLeVz32YO7WPTD0mzzrFR0RxBABDg7Cy9e4e6ngNSqaRTPN2pqzS0BWZ3hBBC9YJpw6akMungEZL2nUzbN/F5Obx5usJJOmKspEtXcHKmangOIEIIIVQLTPC2RwSFMFOeVyqVJEkCAM/zJq3W2c3N1vVCCCFkx/AqeoQQQsgBYYJHCCGEHBAmeIQQQsgBYYJHCCGEHBAmeIQQQsgBYYJHCCGEHBAmeIQQQsgBPWoJni89snL1cTX/z0sihBBCqEaPVoJnC/f/uv3iPR1r64oghBBC9u1RSvBM/u7NJb1GtpHZuiIIIYSQvbN5gmdvH1m/evWPB28Yrm/brkse/4QLYesqIYQQQnavuceipwsyzrAdE1oqhLd8xbkNK9ceuqZStEiY9MqMpGCppEXfaTP7AvCqMxnMnV0rvizPzaXXH4idPShc0sx1QwghhBxW8yZ4U8H+td+e7rG8R0sFAQC8LmPd138EzF72Tuv72z78cNWB2A+G+j84YCc84ie9Hg9AZ3y1pPKZgQ+zu06n27Rpk/D67Nmz58+f37NnTy1rHDp0aNu2betYPYZheJ43GAzCW5ZlDQYDQRAAwPO88Na8pNFoFB4GAwAcx1nOIgiCZdnqs1iW5Xme5/nqsziOYxjGckmj0VjTqoWFRVctTBFddZW3DQiNpmmWZesbWvVWrSU0nudpmm5AaOYvsUqr1is00Vat/VuzLN+aodE0Xb1V6xuaMLGOodXSYWoJrZZtoZZvrZZtoV6hibZqLaEJUVQppAGhPYabeS2hCRVujm1BKN+BN/MqrSqEVllZuX79eoZhGIaRy+XmJQmCMNeqqKgIxDRbgudLDn3x/ro/72nY9j0eTqMv/3HOf+DiDh5SwmPYsDbb95+tHDLE6++n5GXd58yzeKvT6davXy+8dnZ2PnfunDn46giCcHJyatmyZV3ryPMAoH/4PFbhy7Oca+4Zlq+rLMnzvNDKNRVCUVTzlQ8AtZRv7nnWDK16qzpMaP+46rqUL8yqb/lN1apWCK2WVTfrtwYN7TDN3aoOuZnXXj78va/aY2g22cxFQ7t8+fLSpUurNJolgiDi4uLE5/HNispYOuX/9lVyPM/zPFe09e1pX2XSPM/zPHP9lzkv/ZDN1KOwdevWZWZmNmHtNBpNeXm5+a1areY4oao8y7IajcY8S6vVCj/WBCqVyvzaYDCYTCbRWSaTyWAwiM5iGEar1VrWxPyLkuM4tVptnqXT6SiKEi3EaDQajUbRWRRF6XS6Roam1+sbEJpWqy0rK6tjaMKBaX1D0+v1orMYhql7aDW1ai2h0TRdpVUbEJrBYGhAaDqd7v79++a3Go2mAaEZjca6h2bZYeoeWi0dppZvrZZtoe6h1dSqtYSm1+stW1Wr1TYstMdwM6dpuqbQDAZDaWmpZWhNspmbQ3PgzbxKh7EMzWg0lpaWWnZdc2gMw8yePZsXY83nwfMmE6VwdhJ+8BDOSgWlNtXzhvfs7OwqvxMbw2AwsCzr6uoqvNXr9c7OzuaTHkaj0dnZWZhlNBrlcrn5LJBer1cqlcJriqJIkpRKpdVnCafdzCdVLGdxHEdRlJOTk7kmTk5O5lUbDAbzkiaTSSKRiJYv/AaUyWSiq2ZZVqFQNCa0WlZdS2hGo5GmabeHz7OvPTSpVCqRSBoZmmWrmkym5gtNON1XU6vWMTSKogiCqG9oJpPJZDK5u7ubW1WhUNQ3NGFn1Kyh1bIt1PKtNeu2UEtoVVrVaDTKZLIGhPYYbuYsy9I0LRoaRVEGg8HDw8NcfpNs5ubQHHgzr9JhLEOjaVqv17u7u5u7rjm0Wg7urZngCYVCTpUahZzOGwyUXKGozyXzXbp0yczMzM7ObqoK5eXlqVSqLl26CG9ZljV/VcKPNfNblmVJkjSfjWEYxtxphH9TzN2rjrNqL9+yJg1btfDzzTzLmqHdvHmztLS0W7du1ctvklXbMLRaym+O0Cxn5efnFxYWJiQk1KV8859zj05oTbItNFVo5td37tzJz8/v1auX/Yb2CG4LhYWF169fT0xMFN7iZl57aHVcdXFxcU5OTkJCgrBwlQ4zfPhwEGPVBO8dHMidLqrkwZcAqriowq9dQH1u04uLi6vxn4YG+fzzz7Ozs7/66qsmLBOtWLHi9OnTK1eutHVFHMrq1avT09NXrVpl64o4lJ9//nn37t2rV6+2dUUcyqZNmzZv3rx69WpzDkONt3v37tTU1OXLl7u4uNT9U1b9AmTtEjoVH95/3ciz99IPZIcndPbEm94RQgihZmDNI3ggXLrNeKNgxcrXXzZK/brNnDvYH/M7Qggh1BwInn98H+xSWVlpMpkCAgJsXRGHolar9Xp9YGCgrSviUNRqtU6nCwoKsnVFHIpWq1Wr1cHBwbauiEPR6XSVlZUhISG2rohD0ev1FRUVQUFB9frj47FO8AghhJCjwosgEEIIIQdk1f/gHyXVR8W3dY3sFVVweM03G0/d1ks9o5KmvPRMQqAU+Hvb3p7141VhxALSd/iH37/4BD5aoB7EGxA7bWNwdzf/+9X1OX/dMix94sXVi4b7FGNfbYR/fNpITRNRLaq0aiP2saLD3zg8Tntq6XOvrj5XSevz0uZNm7+nmLN1lewUV7j17Wfe3ZSrYVnVpfVvTFmwp5TjeTrr2xc+2FduoiiKomiawdatJ7EGxE7bSBzL0JTAVJHx9WsfHcS+2kjG27s+mGYeq1S8i2K/ra+qrdqIfexjeopeGBX/yQ4eUufIYcPa3Dx1thIvRWgQY86VgjYDh0a5kqR72yFJobdybrHAG4pLISDIXS6TyWQyqVSCd0vUj2gDYqdtJIKUSGUymUwm42/u2FQ64Ll+vgT21YbiSw4tmTXjjR/Oav6aJtpFsd/Wg1irNmYf+3ieK+HLC++RwUk+BACAIjjUu7SwmAMvPDFXf049Zn8d76QEAOC1N66X+oUFkMCVFpdSV35+7bnCcvBpO/C5lyd28ML9Zj2INSBgp20ifMnBDefbTvo0kATxpsa+WgeE/4A3vxlA/7nsOfPjPUX3q7wn9tu6E2nVRu1jH88j+Oqj4pvqOyo+EhAKNy8XGfDGgmNrPlx9s/uUwaEkAK0IaNNjwoLvfl772SSP40tXH8Xf7PUj0oDYaZuI6dK2/dIhI1o/GIUc+2qTEe2i2G8bqzH72MczwRMKhZwyNnxUfGSJV13atOhf87ca+v/n4xkd3QgASetx7749qYuvjJD5dRszwD8r81qTPSHosSDWgNhpmwSvydhzJnRAou+DtsO+2nREuyj22ybQ4H3sY5rgvYMDuaIi4ScPVVxU4Rdcr1Hx0V+MV//7/rJzkbOWLZ4zJMqVAADgVTkn/7iuETZpgiQlUqkUN+l6EG1A7LRNgVdlHM2NTeyoNL/HvtpkRLso9ttGa8Q+9jFtaRwVv4nwmj+3H/ae9OakDpZ/qpElJ75dvjFLxQFbcW7H7/c79YjFv9zqQ7QBsdM2Af3FM9fCO7RzNk/AvtqERLso9tvGadQ+9rEdyY7XZm9esfpwvlHq123K3GndfB7TnzqNxF5bO+vtrUXcw/eEz9APv3+5PVlx7n+rfjmaV2aU+ncaPfP5IVEuuE3XByfagNhpG4u+8M1L63wWfDEh3Nx04k2N6ob+c9lze9p9/X+DPIRGE+2i2G/r6W+t2qh97GOb4BFCCCFHhj+lEEIIIQeECR4hhBByQJjgEUIIIQeECR4hhBByQJjgEUIIIQeECR4hhBByQJjgEUJVcTeWJTqREt+nt6otpuo2prhGvXmSBmB194tKtWyNn0cIPQIwwSOEqmCvb049I3d3Vf2WdkAlMp+7++O46NHf3eJE5iGEHhWY4BFCf8fmbk47553y4evxut9S9zX66Wq8yWDE4bQQsj5M8Aihv2GzN6Ve8B4+Yfr4kXG6/Wm/VcnwXN7inlFz0nUn34xSDltbxgN3/8Ty55M7tvR28wzrPOqdtGsGAADTpqfcu318bO+CobHhk9PEzgMghJoXJniEkCXm0qa0yz7DU5LcYoaPiNUdSNtb/rcMT0a9dTLvqz4uPZfk6fc868NeXjp6+Ge3ur21/tDxfd9Oc93xbPLMLSU8AAB355d3VhqmrDu6aqyHbWJB6LGGCR4hZIHJStt01Wd4SpISpO1GDI/SH0zdW1bzGXbqxKoVFxM//vWjp/t06tB9xL9++HoauXXNzlIeANj7riOWfPp0QkwAPr8FIRvABI8Q+gt9Lm1zjkuPrqFF169fz3d9oqu/7nDqnvs1ZXi+IienWLN3RohcJnAbvKqAuldUwgEA6dG+UwQ+fBUhW5HaugIIoUcHfSZ1cy5dcfXFJ7aapxGq1F0lzzwbIHYUTiicnCRhr+zL+6qP7O9zTFeBcHHFQ3eEbAeP4BFCD1EZqVtu+TyzXcU/RP35TmvjkbRdxTUcw7t26Bx9/+TxHEZ4y5ftmNt39LILjPXqjBCqASZ4hNADppOpWwsCU6YNdDdPknWaNLEdlZ62s8gywxMAfGVRQanGKImb9mqfW4ufmbXqtzOXMnd9Ou2VNZVPJMbiqUGEbA8TPEJIYDyeuq2o1cSpvZ0tJkrbTZjYiTmauqPwr2FtyIDEEQmqbwdFT9tUQbR8/pddH3a48vnk3t2SZ21SPLtx24KuCutXHiFUFcHzOAQFQggh5GjwCB4hhBByQJjgEUIIIQeECR4hhBByQJjgEUIIIQeECR4hhBByQJjgEUIIIQeECR4hhBByQJjgEUIIIQeECR4hhBByQJjgEUIIIQf0/41Iru9EE/InAAAAAElFTkSuQmCC" /><!-- --></p>
-<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1"></a></span>
-<span id="cb7-2"><a href="#cb7-2"></a><span class="co"># Comparison of two Austrian annuity tables for observation year 2020</span></span>
-<span id="cb7-3"><a href="#cb7-3"></a><span class="kw">plot</span>(AVOe1996R.male, AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>, <span class="dt">title =</span> <span class="st">"Comparison for observation year 2020"</span>)</span></code></pre></div>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" tabindex="-1"></a></span>
+<span id="cb7-2"><a href="#cb7-2" tabindex="-1"></a><span class="co"># Comparison of two Austrian annuity tables for observation year 2020</span></span>
+<span id="cb7-3"><a href="#cb7-3" tabindex="-1"></a><span class="fu">plot</span>(AVOe1996R.male, AVOe2005R.male, <span class="at">Period =</span> <span class="dv">2020</span>, <span class="at">title =</span> <span class="st">"Comparison for observation year 2020"</span>)</span></code></pre></div>
<p><img 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N36NjnlgB9uS5RSKuX+OFAJAGzM83+Z7+Dh/nwumoWKF9nJolvFKa1/ifVJeu+YjlIh5dOku265c28eG8YCABP0+B8ay8VNivu/uGq5LarcxdjqP1/pUOHuMAAmaMgP6ULVSdlYhZjxzUMKuOuCLGsVB7qp/ipsqKrz71xkR+4+H8L49Hz3Hy2tsh/0pz7pZT59/W8TRB456qcrpqoiFG9927fsl2niOeTnOxdLVrHtKNVtfjzAfAsFkYU+udNU4Ta5Ot80lFIq3vzmIUu0Q5fctlxsb68HarIf3o3bPyfi7l/+7yg7OrTH3u3pdVeuRBY5buV1oXbLIoTqlst9gwcA4tVl/tbz/6x4a0q/9pEBHgqFu2+zhAfHvfht8pmDH/cvOy2vaj9v87GdC54a3CnK312h8AiM7T7y+cUHjq2ZVtufsmWdXtu46uXBCcEeniEJvca++NP+7W90cwdg4+ev/+P9Cd1jArz8m3cZ9PTiP4/9MCqUAZAK1n210v5XyzJeD364769lr096qH2Uv7uClal8whP6TH53w6F1T8ax9ZqURZ2swsFGFP3fXv5/E3o093PzDEnoNfalnw/seKu7R9X94NbpP9uPrH/70QdaBrkrVL4R8fdPeGP5kZPrnmilqCoyJmLkxF7uBACI50Pjh4WUVZoqt5374He+n9u3ZaC7XOEZGOBZ8Y+Petk0TOToR3ubo/V+eNLwYMtq7fVArfdDWnrtWr7dr/we3d7afWjFyyO7RPu5KT2CWvV6/KOth1ZObs7WalmEUB0j1JGrqxEAcPueiX14cZakGrUqf+MkT2eHg+4F4pVP7mv/6jHBb9yaq2vH+1V5/SdCCFm44jd4hO4NUuHRlRsvCMAEDJk0EKs7Qqh6XOw2OYTuDfT2jyMSnttZYhAosDETnxjo4+yIEEKuBgu8w9iwpPHTDMWSvEusvOq5EaoVwogmnvUKb9V18DMfvdcHR4FBCFUXnoNHCCGEmiA8B48QQgg1QVjgEUIIoSYICzxCCCHUBGGBRwghhJogLPAIIYRQE4QFHiGEEGqCXOk++NTU1AsXLtRhg6IoUkplMpnlLcuWDYlNKZUkyfJWkiRi9WgUQRAsS9mZVDbcP8NUOUkURYZhLI1YR2J/1WB50FlV7TdYapIkSZJk3auulVq1Vm1JrVqrdrB9x3vVpVNz4rEgSZIoinK53JH28TB3MLVq9aqzUmu0x4J1+473alBQ0IMPPggVuFKBP3r0qMlkio2NrasGjUajKIoeHh7mtwaDQaVSWTakyWRSqVTmSSaTSS6XWzaJwWBwcyt7uiXP84QQyxayniQIAqXUskmsJ0mSxPO8Uqm0RKJUKi2rNhqNljlNJpNMJrNs8nKrBgCb7YuiKAiCpf2apcZxHMMw1U3NZDLxPO/p6Vl/qYmiqFAobPYqx3EOpsayrM1V20nNfq/Wa2omk4njOC8vL0uvKhSK6qZW4x3G8dTsHAuSJFW21Rw8Fuo8NY7jTCaTpVdrnNo9eJiXW7V1ajzPG41GB3vVTmrljgVLak34MC+3w1inZu5VT09Py65rSU2SpPXr19ss8K70uNhly5adPHmyDhvUaDRFRUWWt2q1WpLKnsgpiqJGo7FM0mq15h3CrLS01PLaYDCYTCabk0wmk8FgsDlJEAStVmsdifnnBEqpJElqtdoySafTcRxnsxGj0Wg0Gm1O4jhOp9PVMjW9Xl+D1LRabWFhoYOp8TxvsxH7qen1epuTBEFwPLXKetVOajzPl+vVGqRmMBhqkJpOpysoKLC81Wg0NUjNaDQ6npr1DuN4anZ2GDtbzc6x4HhqlfWqndT0er11r2q12pqldg8e5jzPV5aawWDIz8+3Tq1ODnNLak34MC+3w1inZjQa8/PzrXddS2qCIMydO5fagufgEUIIoSYICzxCCCHUBGGBRwghhJogLPAIIYRQE4QFHiGEEGqCsMAjhBBCTRAWeIQQQqgJwgKPEEIINUFY4BFCCKEmCAs8Qggh1AQ1orHoqeb8msWbbnDEO2n6U/2asc6OByGEEHJdjecbPM07sCX/wRdfe31a6NEt5zhnh4MQQgi5ssZT4MXsLCkqWgVMaExAcVYJdXY8CCGEkAtrsJ/o+Yx/Togdk5qXPQePFp9e9e3S5CulyqikSXNm9gqXAaUAZQ+3pRLWd4QQQqgWGugbvClj99LFu1KNZXWb6v5Z9s3fITMWLv3upU63lny3J48CG96MzcrkgBZklPhF+JGGCQwhhBBqkgil9fxlmeYlL3hn2bHbGjHxmSVvD/AhAMAd+9/M32M/+3BECAH9oU9m7+7w1buDfLXn1vy4K59QefvHZvUvu8iusLDw+eefN7dkMBiuXbtmJ2BCyNy5c0eNGuVgaOan/MpkMstblv332j5JkhiGsbwmhBBCKs5pZ1LZE3nvNGJnkvW6qtW+Oetqrbq+U5MkSZIkS682ZGoVe7Vet1q5XnWw/brq1SaTmhOPhQbu1aZ0mNtJjVIqiqIjvdpIDnMiCKJGzfj5O9KrtTwWeEqXFhRN8/dV3JmzytQuX748b94884PhLQ1avwaAgICAvXv3QgX1/xM9Ce730qJ+/LGFM7bf+S9alH2bCe8VQAAAlOER/vnZuRL4eSVOeiGx3NJyuTw+Pt78Oj09vWXLlh4eHnbWFhYWZtmxqkQptT68rYu9uaMtbwVBYFnW0qHWS4miSAix3iTWezal1HqTW7dvfQzwPG/dfrlVMwxjs31RFAHAZvvlPrlqlpqdVdtJjed5QkiDpVYuTUEQ6i+1ir3aYKkJglCuk2UyWXVTq6sdxk77do4FO1vNzrFQr6mZPzRrn9o9eJiXW7V1aqIoWmfd+A9z5kqK6ve1/LMvga+fzV6tq62WZjTNvH7rrN7QRqXq6+djM7VyXceyrK+vb4cOHURRlCTJ5t9GlNKioiKwiTYM7p8vJr+9q0SilFIq3lgzf9aPFwXzm+yNL89YdIavuo1ly5adPHmyDoPSaDRFRUWWt2q12rzVKaWiKGo0GsskrVZr/iwwKy0ttbw2GAwmk8nmJJPJZDAYbE4SBEGr1VpHYv45gVIqSZJarbZM0ul0HMfZbMRoNBqNRpuTOI7T6XS1TE2v19cgNa1WW1hY6GBqPM/bbMR+anq93uYkQRAcT62yXrWTGs/z5Xq1BqkZDIYapKbT6QoKCixvNRpNDVIzGo2Op2a9wziemp0dxs5Ws3MsOJ5aZb1qJzW9Xm/dq1qttmap3YOHOc/zlaVmMBjy8/OtU6uTw9ySWp0f5tzyH/ULPrBOrT4O8+U5uZ5/Ho0+ejw5v9DBY8E6NaPRmJ+fb73rWlITBGHu3LnUFqfcB0+USgWXX3ZCnhoMnEKpxHPuCCGEGpjJJKVeog88VOcNGyXpmt5wzWC8ZjRuyc3fo9ZMCQn+pmWsG5UEQajz1dnknALvHx4qHc8poRBIgMvNKQ5qG+LA1X4HDx6cO3euRqMBgLCwsKysLOuTEAghhFC1iCnngOfF+La1aYQC3DAaT6k1t9TaNL0h1WC4ojNkcZz5SyxLSJRCvjqh9cTgQADgeakuAofx48dv2rQJAAghSUlJNudxzkh28rZJnX5Yt/tqv0kxJQf3XIpOmuLrQKVu1arViy++GBYWBgARERFY3RFCCNWGdPY0iYiifgHVWqqA589odceLSy4bTSkG4yW9QSeKACAnJMZN1drNbUyAX5ybqpWnZ6ybMlqpMmo13t7edRv5q6++OnjwYACglB44cMDmPM4p8MSj+8wXM77+9oWnjbKg7rOeHxjsSK0OCwtr3759586d6z0+hBBCTZ7BIKVdlg0YWuWMORx3XK09odEeKym5YDRlmTgAUDCktZtbWw/3kYEB8e5uzamUGBQoIwQAjEYjIUSpLBv4xVgPsXfu3LlHjx4AIIrixYsXbc7TUAVe3n3+yu5W74ln/NjXFo5toLUjhBBCdxMvngVRZBI7VZxkkKQTGu2RUvVfRcVnDEZzRfeVyTq6qyYEB3bw8Ojo6RFNwEOptFz0rlarZY3sd+VG9LCZKp08efLrr782vw4JCdm6dSv+So8QQqhmpHOnmcho4ucPajUAFPHCoVL1vqLiw2r1WZ2Bp1TFMB3d3cYFBnT38erq5RmnUum0Wi8vL/Pier3eicG/+eabycnJ5td+fn4253GlAu/l5dW6dWtPT08AiIyMxOqOEEKoZojRIKWnwuARycUlG3NyD+uvndfqJIAQhfw+T49HQ0N6ent18fQ06bQeHh7mm91pfY8LVx3t27cvKSkBAEppbm6uzXlcqcC3atVqzJgxeA4eIYRQbWhFcdf5C1vaddsJbsVnLwbLZf38/J4KD+3t69NSIec4zt3d3TynybmBVm7ChAmTJ08GAFEU58+fb3MeVyrwCCGEUI3dMpq2FhZtLiw6UKI2SUzLwJAnm4U+EhCQANTXp+wq9wa7Sb0BuFKBNw9gVFxcDABubm4qlcrZESGEEGrsTmm0mwqKfs/Lv2AwsoTc5+31fyGBQzesbNenPxvbHADUarWzY6w287B3ACCKYmV/lLhSgT98+PD8+fPNA90EBgbm5eXhaXiEEEIViZT+pdZsKVVvKSq5aTR5smw/L4//NI8c4u8fwDLc/t1UU8okdnR2mDU3bty4bdu2QSMc6KZmEhIS3nnnncjISAAICQnB6o4QQsiaSOn+ktL1eQW/FxTd5rgguXxEoP/IQP/+vj7C1TS3Kxeka+mm61fBaIC4VsSrjgefaUgffPDB1KlTAUCSpK1bt9qcx5UKfFBQEA50gxBCqByJwmG1ek1ewfq8/HxeCFMoxgQFDPf27M2b5LeuS8cOSNfS5Xq9wLJMZDR7fy8pKkaKiHR21LWSkJDQoUMHABBF8fDhwzbncaUCjxBCCFk7rdP/npO3Pr8ww2QKVShG+fo81iz8fm0pPXdKPHsKSooFhiHNItke9xvDmnkmtAO5AgA4jgOpbsaEb8ywwCOEEHIxGSbTr7n5K3PzU3R6P5lsdFDAxODAPiCZDh+Ub98gFOSBmxu0ace0bS9v2RpUbgAgqdXm6n7vcKUCn5qaunv3bvNANzExMa+++qqzI0IIIdRwDJK0Li9/aU7uX2qtnGGG+Pu9FRb8SEiIqjBP3L1FPHuKZRjSNlE29BGmVbyB5xmZDORyZ0ddLzZs2GB+xkwTGeimuLj45MmTPM8DQHR09CuvvILX2SGE0L3guEa79Hbe6rz8UkHs7uH+Tau4CUGB/nKZPuU8u2szl3aZeHrJBgzVJySqgoPLluF5p4Zcv44fP753717z66ioKJvzuFKB79Gjx8yZM/EiO4QQukeoBfGX3LxFmdkXDcZghXxmWOjUoIAYhnh6eEgXz/MH97C3bkJQiGz0RLZzN5DJqAve0V4zn3zyyRdffAE4kh1CCCHXckanX3ora3VegV4U+3l7/Tc2enhggJwQkeNMx49yRw/R/FwmKlocN1nZsTMrw1pmA3YKQgihxoKndGN+4f8ysv7WaIMV8mebhc0KDwngOC8vLyII4rGj4p/JbEkxaRUvGzWeiWvJ6XSA52orgQUeIYSQ8xUKwre3Mhdl5WSauCRvz+UtYiaGhykYAgAajUY8+bd06CDVaUnbRGHcYx4tWjk7XhfgSgXeeix6a15eXjL8fQYhhFzTVYNxQUbWstt5ItDxQYHPRYR3UCkFQVAwBPR64fAB+aEDIs+zHbuwDz0s+QdyBoOzQ3YacwU0Go0sy8rlcmiSY9FbGzp0aGUD9SGEEGq0Tmp1X1698Vt+oY+MfTY48IXY6FCFAgB4nge9TjiwVzz6J4iilNhZ9fBgxj8AAEAUnRy083z00UdvvPFGuf9sgmPRl/t/p8SDEEKoZv4sUb97/ea+UnW0SrkgrvkTYSGSTuetUAAA1Wro/j3MsSMipWz3+9je/TSEIV5ezg7Z+aZPn96yZUsA4DiOZVmWZQHHokcIIdRI7C8pffdGxsGS0nh3t6UtYx8LD5UTAgBqAKrViAeTxb8PAQDt2lPZd0DZ82DumZvf7AsNDaCnu24AACAASURBVB03bhwAGAwGmUxm+Ykex6JHCCHkTPtLSt9Iv35Uq2vn4b42ofVwby+GgLm6U51WlryTO3UMANieD0j39ZJUbsTNzdkhuzYs8AghhOrXCY32jes3dxeVtHVT/da2zcjAAIaAyWQCANDrhb/2iYcOMlRikx5ke/cjnl48z0MlF44hx2GBRwghVF9Sjab3r93cWFAU66b6Jb7VUJXS1+fOU9iNRjj6p+noIRAEtuf9+q49VWHhTg22qcECjxBCqO4V8sK7N259l307SCFf1CruibAQOSFq89l0nheP/gX7dgNnYrslsX0HEh8fPNFe51ypwBsMhuzsbF9fXwDw8/Pz8/NzdkQIIYTK4yn9X2b2f29kcJS+2iz0pcgIb+Wd57SKovjPYTF5J9VooENneGiALCTUqcG6KoPBkJGRAQCSJJWd7KjAlQr8sWPH/vOf/5jvg/fz8ysqKnJ2RAghhO5yVKN9Mv3GdRM3JTT4w5hoX1FQsAwAAKXSudOKHVuEkiKmbaJ84DDOx9fZwbqwSZMmbd++HZrkffCVPR0PIYSQs3yXffu59GttlcpjXTp08fIEAL1eAADpaqqwfTPNvEVj4pSTp5OIKACASr53IkcsWLBg2rRpgPfBI4QQqlcmSXou7dqPObmTAv0/DQmM8PI0/z/JvS3t2ymmXibhzeRPPKMNDXfz9rbfFHJEXFxcmzZtAO+DRwghVH9yOP7x1GsnNNqPY6OfCw7UarUAQNWl4u5tzIl/qI+vbOIUtmNXIASvpGtIWOARQgjV3AmNdsTlNAlgX8d2D/p4G41GwvPCnh3in8nAsvThIbL7e7MqlbPDvBdhgUcIIVRD6/MLpl1Oa6VS/dEuPspNBZTC6RMee3eIBj3b8362/2ADEMCnfToJ9jtCCKGa+DIz+4X064MC/H6OjghWKqSb14XNv5HMW0KL1u6jxpHAYAAAvd7ZYd67sMAjhBCqHpMkzbp+a1VB0byIsIVxsfrb2eL2TdKZkyQwiD42wxAe4REY6OwYkUsVeEmSOI4zGo111aAoipRSS4OiKBqNRmJ+8gGl5rfmSYIgmEwmhmEskVgm8TxPCJEkqeIkQRAopdbxWyZJkiQIgvWqTSZTZas2/4/N9s3zV5wkiqJ1IzVOTRTF6qZmnuRgapZ/q5VaubfWvepgaoIgmGeurP3qbrVykdhJzbzDOJJalb1a3dSqu0OaXzu+1XieZximsh1GkiRLX9X4WLCTGlSyw1Rs33IsmJdyfKvhYW6eVCKKYy6lndQbfopr/pi/L5+8Q3ZgryiTweARtFsSL4pgMtXHYW5OrQkf5uVSsz7MLfuqZde1pGYuZGCLKxV4ACCEWDq6Dtu0bty6/dpPsn5b5VLlptqcVK4RSqkjq27g1CpOqu/Uqpu1nVVXdxK583lam/6pclL9xV/ZpLqNv7q7WXV3GDuTHN8rajypWlnXIDU77Td8apkcN+JSWpaJ2xgX3a+kENYsgaJCqWNXdsBQcHcHACJJFZeqrP0afII5nrWdVVd3EmmQw9zmpHJZV9x/yu0q1lypwB8/fvyTTz7heR4AIiMj9+/fbycxR/A8L0mSUqk0v+U4TqlUmts0/xFnmSQIgkKhYFnW/NZkMlkmUUoZhlEoFBUnEUKs27eeZP4jzvKW53mFQmH+S41SyvO89Zxyudz83N9yjZjZbN/cS7VMTZIklmWrm5ogCNbtV5ma7M4FOI6nRgiprFdFUXQwNcvTlKuVmrknLb1qJzWFQmEzNfMnWg1Ss27f3KvVTc28dgdTs95hHE/NzrFgvWkcPxaso7KfGlSyw5i/hlaWmnX75h2mBqndO4d5uiAOvnBFoHRvTETbPVvh0gUmqrns0Wk6Hz+Vu7slNeuo6vAwN6fWtA9z66jKpWbuK8v2ffXVVy3j21Q28psrFfigoKA+ffqYx6IPCQmpZXVHCCHkuGM6/cRrN4Pl8m1Gdfj3X4JMJhv7KNu1BxACWq2zo7vnPPDAA25ubgBAKU1LS7M5jysV+NjY2EceeQRHskMIoQa2tbBoXNr1LkrFhhN/+t26znTswvUbrAwKcnZc966RI0eOGzcOAERRnD9/vs15XKnAI4QQanjr8wseS0nty+nX7N7g7h8gmz1PiozGkeQbPyzwCCGEKrUqN3/qpdSBxfmrTh326DuQ7d0PWFa6c+k4asywwCOEELLt58zseRnZ425nLC3JFWY8xcbEOTsiVA1Y4BFCCNnw1Zkz/9Fz07Nvftc8Uj5xolqjcXZEqHqwwCOEELqb0fDJ3r2vevrPKcn/ashgxs/f2QGhmsACjxBC6F9SeuqnRw6/FtVqnsR/MnAQ4+bm7IhQDWGBRwghBAAAPC/bvfWjwtI3Wye+GOj/Yas46/FckcvBAo8QQghoTha/evlCL/83Wye+HBH+aYsYjuOcHRSqFSzwCCF0b6NUPHRA2LH5/bZd3g9v/mZ05Hsxtoc+Ra4FCzxCCN3DdFr6xwYh9dIXD/Z/3zPg+dAgrO5NBhZ4hBC6R0mpl5g1KwnQhWOnvq4z/ieq2RuBeMF80+FKBT4nJ+fGjRsnTpwAgPDw8GHDhjk7IoQQck2SJOzaKh5MhuaxXzw0+LWc/Jcjm30S21ytVjs7MuSQEydOnD9/HgAopfn5+TbncaUCn5qaumHDBo1GAwDh4eGZmZn4QDmEEKouoi7lf10i3brB9hv0fvPW72blvB4d8UFMtLPjQtXw+eefb9y4EQAIIUlJSTbnYRo2pFrp3bv3gQMHKKWU0qysLKzuCCFUXVLKefmP39DiQvmsZxe0bv9uVs7LzcKwurucNWvWmKshz/NdunSxOY8rfYNHCCFUc6Io7Nwi/rWfxrWUPzr9y+LSV9OvPxsa/H50hLMjQ/UCCzxCCDV9tLSEX7vS/LO8qft9Pxar56dffy4i/KNmoc4ODdUXLPAIIdTEkaup0qZ1wLDyJ+cwsS2XX7/5/M3MJ8NCFraIMRoMzo4O1Rcs8Agh1HRJkrB3J7tvF8S0kD86lXh5/5ST+9zNzFnhoYtbxeF1TE0bFniEEGqaqE4nrFkhpV2WuiUpho8mCsWvufmzr6RPDvRf1BKre9OHBR4hhJogkp3Jb1xDDQb55CcMMXHAsr8XFE67nDY6KODLiDAGy/s9AAs8Qgg1LZRKhw7Idm6BsGaK2fOInz/odHuKSyelpA4L8F+d0Fqv0Tg7RNQQsMAjhFATYjTw63+VLpyTuvZ0GzUeZDIAOKjWjkm71svHe01CKxmOIHLPwAKPEEJNBM3O4n9dSjVq2aSphhatzdX9SKlmfPr1nl6ef7SPVzKuNLgZqiUs8Agh1BQwp47zu7eRwEDFvJdpQCDo9QBwTqsbdj4lwU31e9vWbljd7zFY4BFCyMVxJn7jWtnpE2yX7rJR40GuoJIEAKl6w4BzFyNVyo0tY71Y1tlRooaGBR4hhFwYzcvlf11CCwrEAUMVfQfAnVPsGSZuUNo1b1a2KzHBi+edGyRyCizwCCHkqsjZU9y2TcTXV/Hsi1pPL8v/Z5m4IalXGUL2dWwXqlDosMDfk7DAI4SQC+JMdMMa5uxJtlM32ejxoFDCnZvfCnlh0IVLJkr/6tg+QqlwbpjIibDAI4SQiym7Wr60RBoxRnl/b+tJelEacSEl28RtaxUb56ZyVoSoMcACjxBCrkQ8eUz4fR3x82Oemif6B1pP4iQ6+uKlM1rdznbxiXL8eL/X4R6AEEIuwqCXbVglXElhuyfJRozlAcDq5LpI6ZTLaftLSv9oF3+/j7der3deoKhRaGS3RQq3Ni3eeFNydhgIIdTISDeucV9+yty4Kn90mmzMJJDLradSgGdvZm4sKFwV33qQv5+zgkSNSiP6Bk+LT637ec3enI6J1NmhIIRQ40GpeOiAsP0PEhrOT5qqio6pOMuL6ddXFRb/0CpuTFBAwweIGqdGVOCJX+cJ8z1Nn550diAIIdRoaDWwYZVw/Sr7QB/Z4BFGna7iLO/eyFiYmf1eRNgTYSENHyBqtOq7wPMZ/5wQOyY1V5rf0uLTq75dmnylVBmVNGnOzF7hMvHWgV92poqx/af2j8WBlhBC6F9S6mVYswIolU+bzbRJsDnPt1k579y49WZ05HOB+Ms8ukv9noM3ZexeunhXqrHsN3eq+2fZN3+HzFi49LuXOt1a8t2ePApsVJ+ps2bNwOqOEEL/kiRh11Z+yWIICoY5L1RW3dcUFs9Lu/ZMs7D3YqIaOEDU+BFK6+eMN81LXvDOsmO3NWLiM0veHuBDAIA79r+Zv8d+9uGIEAL6Q5/M3t3hq3cH+Vk/ulBMXfHpyQf+M8lS7ktKSj7++GPz6+zs7MLCQqVSaWe1jz/+eL9+/RyMked5SqlCUTYQhCAIMlnZTxqUUlEULW8FQWBZltwZA5LnefmdK1xEUSSEMHee4mA9SZIkSil7Zwho60n227eOxH77AODIqhsyNUEQJEmy7lU7qTEMY3PVjqfmeK/WyVaTJMm6V2uQWo17VRRFy87fAKlVtsPUeWp1tdWgkh3GTmqiKIqiWNm+6sTDXCgqdNu6kWTcFLv25PsOBJa1ueotxSVTr2eM8fP5vnkUQxrLJ5goioIgWPZVPMxrmdqNGzfee+898+eqZSlz4bas2mQybdu2DSqot5/oSXC/lxb1448tnLH9zn/RouzbTHivAAIAoAyP8M/PzpXAz/qrO9vq8ddaWTcjSZJarTa/5jhOo9HYv/fDZDKZdxrHWeY3b1fL63JvJUmy9GbFOS2tWU8yv6hl+5IkMQxjs5FymVYr4EaSGljto46nVrH9GqRWWfz2U6vYYHVTs9Or9lOrGFV9p2YzqpqlVic7TJWpVdar1WrQ6Yc5k57qvuU3YFnu0WlSdKwkSWCVnWWpPzW6Gdcz+nt5fhvVDKgk0cZymJfrVTzMa5kax3ElJSWCIFBKrddleQ0AlX7vpfWK++eLyW/vKpEopZSKN9bMn/XjRcH8JnvjyzMWneGr0diyZctOnjxZh9FpNJqioiLLW7VaLUnmUKkoihqNxjJJq9Wa+9estLTU8tpgMJhMJpuTTCaTwWCwOUkQBK1Wax2JKIrm15IkqdVqyySdTsdxnM1GjEaj0Wi0OYnjOJ1OV8vU9Hp9DVLTarWFhYUOpmb+EaW6qen1epuTBEFwPLXKetVOajzPl+vVGqRmMBhqkJpOpysoKLC81Wg0NUjNaDQ6npr1DuN4anZ2GDtbzc6x4HhqlfWqndT0er11r2q12pqlVmeHuSjyO7cYX5mnX7RQ0qjtpPZPqcbrz6N9Tp0rtNrhG/Iw53m+stQMBkN+fr51anVymFtSa8KHebkdxjo1o9GYn59vvetaUhMEYe7cudSWhryKniiVCi6/7IQ8NRg4hVJJqlgGIYTuBVSn5X9bLaVdYXv3MyX1crN6ckw5F3T6IecvtnF3+y2+paqaP1iie0pDDnRD/MNDpZycEgoAwOXmFAeFh1Rn/YcPHx4+fLi/v7+/v39iYiKtp6sHEEKogd26Qb9ZQDMz5NNnywaPAKbST8brJm7A2YuhCsWOxLb4iPd72ezZs83VMDg4+MyZMzbnadD74OVtkzr9sG731X6TYkoO7rkUnTTFtzrf4KOioiZNmhQUFAQAoaGh1mcgEELIRYl/H2I3/wZhzeRTniC+9m51yzJxj6RdVzHM7sS2AXIZjw+BvYeNHz++devWAEApPXXqlM15GrTAE4/uM1/M+PrbF542yoK6z3p+YHC1SnRkZOSQIUM6d+5cX/EhhFBDEkVh0zrx2FHavhM7egJxd7czbwHPDzh3kQP6V4e24fgQ2Htev379Bg0aBACiKM6fP9/mPPVc4OXd56/sbvWeeMaPfW3h2PpdKUIINX56Hb9qqXTjmmzwCFP3+9i7x5YvRy2Ig8+l5HH81hbN8SGwyEGNaKjaKp07d27ZsmXmewQjIiKWLl3q7IgQQqgmaFaGYvkPVKLyWc8yMS3A7t2/Bkl65FJKqsGQ3KFdK4pX1SEAgAULFiQnJ5tfs5VcjeFKBV4mk3l5ealUKgDw9vZ2djgIIVQT0pVL/C9LqL+/YvpT9k+6AwAn0UmpV4+rtTsSE7p6eVrGBUH3OHd3dz+/sp1HZ+sJBeBaBT4hIWHChAl4Dh4h5LrEk8eE31YzMXGmURNVVVV3gdIpadf2lar/aBff29enYSJELuHpp5+eN28eOPMcPEIIoTukg8nirq1sp67smElGg6GKmSlMu5y2tbhkZctYfMQ7qgEs8AghVP8kid22STx1jH3oYdnAYVUO4kEB5qRdXZWbvyiu+egArO6oJhpyoJvaOnjwYJ8+fQghhJC4uDhnh4MQQo4RRX7VMub0cfaRsbJBw8GBMTxevXbju+zbn8fFTA8ObIAAkcuZOnWquRrK5fKTJ0/anMeVvsHHxsbOmjXLPNBNVBQ+GxEh5Ap4jl/5s5SeKo6aIO/W05ElPszJ/TQn76PY6Bciw00mU30HiFzRzJkzO3ToAHU20A3/95KvSvs/OzBKCQBANSnrPtsf/tacB+3dvVmXcKAbhJBrIUYjv+JHKStTPvVJvplDX0s+y8j6JCfvrejIV6Mi6js85LoefPDBvn37gt2L7KrzEz3bPFZYMv6hyQsPpp5d98rgB2bsCOzUxpV+AkAIoYZDNWpm+Q9Sbo585jNM6wRHFlmUlfPK1RtzggP/G4M/UqLaqk59ZkL7vLJma6d5vQfHv6y8//3kfa92tjewIkII3bNocZH047fEaFDMmkfCmzmyyIrbeXPTrk0LDf4gPKS+w0P3guoUeOnW1tdmvXmo2ZzkGwNLV/xndv/HJ3++YN59QQ31zJeMjIzz58/v2bMHAMLDw6dMmdJAK0YIoeqgubf5n78FhhWnP+Vgdd9UWPzElfRHQ4J+at1Sq8HRbFAV9u/ff/r0aQCglN6+fdvmPNUp8GKeJvbNnR88ECoDgDd+6zV+04LkK8J9QQ11Dv7WrVvbtm0zGAwAEB4ePnnyZHygHEKosaGZt/gli8HDk5n+FFU6NG78jpLSx9Kujwj0X9qmJYOfasgBq1at2rx5MwAQQtq2bWtzHrsFXsq78Of5XPHf/whuARcPJl+889a7b992DXgO/v7773/qqafwIjuEUKPF3LzOrf+FBIXIZzwtqVRgNFa5SHJxyeT0G319fVbHt5bhlxbkmB9//HHZsmVQ85HshDNL5z/x47lMjQSEkbFEFERKWIWbm8J8bR4bM3fnyQ97NtQ3eIQQasykc6fla1YwsS3kj88EhRJEscpF/lZrRl643MnDfU3rOAV+eUd1yu5V9IqHpk+MlLcYt2DX5QK9idMXpu5ZOL5N9LDF50s0Go1GU3IOqztCCAEAiP8c4Vcvl1q2lk+bDQqlI4uc0eqGnEtp6+G+qXWcRyUPBEOoxuwWeP7E8iUZo79c+sKA1v5Khij8WvZ/fskXD/39/qITQkMFiBBCjZ54YK/w+1q2Yxd+1ESQOXTmMs1oGnTuYqRKub19gifjSoOKIldhd6+SCnILVD7eCuv/U/j4uuXn5Fb9yxNCCN0DKIXd24Udm9n7HpSNnwyOleo0g2FI6jV/mWxvh7b+chxOBNULu/uivENSp9xfP/ruTKlk/g+p9NwPH/2SEd8pwRk7pPVY9NYmTZrkhGgQQkiS4I8N5MhB2aDhshFjHRlkHgAyTKYB51LcGbK3Q7sgOZ7mRI76+uuvWZYlhLi7uysUitqNRc9ETf/y011DnusW+3W3bvFBkH/p+PFrJOmdrU+2cMbZIuux6K0lJSU5IRqE0D1OEPjVy2nKeTpsFPtAHwcXyuf5gWcvCpTubBUbrlRUvQBCdwwePNhkMkmSxPM8wzAsy0JtxqJXtX1q47mH9mz4bd/pm0VCbIfBL4yY+EjXEOf8yYlj0SOEGguO41f+JF1NI2MfpW0THVyoVBAHnrtYwAsHOraLlPBMJ6qeFi1avPzyywBgMBhkMplcLoea3yYHAACMT+uBT7w+sG7DRAghl0WMBv6Xn6XsLPnUWUJMHEiSI0vpJWnMxcvXjMZ9HdrFu7tptdr6jhPd4/DiDoQQqgZaWiJf8aOk08qfnMNExwDHObKUUZLGpl0/ozfs6dC2s5cnpbS+40QICzxCCDmKFuTxPy0igqCY/RwJDXNwKZHSR1NSj+n029rF9/T2qtcIEbLAmy8RQsghNCuDX/wlEMJNecLx6g4A89Ov/1FQ+GNM5EO+3vUXHkLl2B/o5tCH4z48xN/1f7Rgy2tTvqzXmBBCqLGh169yP3wDHp7yp5+nfgGOL/jW9VtfZ+UsbBE7ys+3/sJDqCLbP9HT0lNrl+7PMp1bt+3slS+U/1jNJWTuXLmj2UcNFN5dDh48OHfuXI1GAwDh4eGZmZn4NDmEUEO4fBHWr2IiIuXTZoObG6gdfZzrT3kF79/MfLt55LyIMLyqDtWhiRMnbty4EQAIIZXdK15Jgden/7V50zmuMIvP57ZsumZVRgmj6v3a7HqItmqtWrV68cUXw8LCACA8PByrO0KoAYgnj5ENq6BFa/njM6E649JsKCh84WbmU+Gh7zSPqr/w0L3ppZdeGjhwIABQSg8cOGBzHtsFngkb/+2+8cAlvzZob/+dH/VrHIMxhIWFtW/fHu+DRwg1GPHwQWHLRtq+IzN6YrWq+58l6mlXrg7z8/mmZWz9hYfuWV27djV/cRdF8eLFizbnsV3gb54/Zwhs0Sa061NfBpZcOnu23GTGt0P76LqNFSGEGhdKhT07xL072Pt6CQOGQnWe9pai04+6eCnRw/2nmGgWf2tETmK7wL/cvfPpZw+lvJ/5cvdx640VJqvGUcO6+o4MIYScRpLkO/4QT5+QDRzG9h0gGCt+DlYq28QNOZ/iL5P90ba1uwOPhEeontgu8KtK9RIjl8u6ryo1rqw4HgPB5xYjhJouQeBXL2dSzstGT2B73F+tRbWSNPR8il6UjnRODJLLjVjgkfPYvk1OplAoZASAkSmUMu3lXSu++fzzP9IZ4XZ6hoFVKhU4PA5CqIniOH75D9KlC8LI8dWt7pxEH7t686rBuDMxoYWbqp4CRMhBVZRq7vL34/o/l8z7yrS9Ws/vemt2u3fUU37atGh8LD7iECHU5Oj1/MqfpNvZ8mmzTKHNqrWoRGHq5dTDWt2W9gmdvTzrKUCEHGe3wNPc1a+8du6hlZcWy16JWQNs7PNbj7CTh81+7pfxW6Y3VIT/kiRJEASe56ue1eEGKaWWBs3P4DPffUcpNb+1XrV055ES1kuJoihJkuWePetJgiBYvy23rort21y1KIrWNwSWWzUA2GxfEARRFGufGqXUZmrmrCtLrWKvMgxjMzVzF9U+NTu9WllqYMXB1MpNspOaedWVpUYIqW5q5TqkXGoV56wstcp2SJupmTe9zV6tLLXK2jdHW/tjwU5qUMkOI4piZcdC+V4tLRHXrAB1KZk2W4xqTvV6B1Mzv33p+q21eQWLoiP6enmYpzbhw9zOsVAu4Do8zO3skE3jMLeTmqWvrHddy7oqe7SB3QLPn/7rn+Bxf4yKlG8x/wfj23nO21O/H3IQwAkFHgAkSRLr7pyWuVMsDVJKLYcZpdT81nq91hvSehIhpFwjlknWb8tNss7FzqrNu1RljVSM386qa5BaZe2bF3EwKnMwlaVmvTlqnJrNSXZSs9+rjk+ypGZzzspSc3CHKdcDFbO2PqodTM3xHdL6E9Px1KDyrVatDm+wY+HfpfLz5Ct+BAD6xDM0KBju3sPNjVhXwXKT3r2Z8VX27U+bR0709W4kqdXrYW6ugjaPBZufAHBH7VNrwoe5zazL9ar1H3DmOe3URPs/0bMsazIY7noSoqjTGhRKu0vVlwsXLqxYsUImkwFASEjIypUraznWjfmPI5Wq7FQZz/MqlcqyD4miaJkkiqJSqWTv3CfDcZxlEgAwDKNQKCpO4jjOun3rSebNZnkrCIJSqbT8kSgIgmWSJElyuVx+5wZc60ZMJhMAKJXKipN4njenU5vUKKUsy9YgNev27aemUCjMG7RaqVk3Um7V1lHZT83yNGXHUxMEAQCsI7FOzbrD7aQGAISQ6qZm/ru+XK9WNzWTyWS911WZmmWHcXCrgd1jwXqvcPxYsM7afmpQyQ5TMTXLsUApNc9JM2/xSxdLKjdmxtPywKDqpvZdTu4HmTlvRUe+3DxKrVbfC4d5uV61Ts0cc30c5pYvr031MC+3w1inZjKZjEaj9a77+eef//nnn+Y52Uru4bQ7Fr2829CHubXv/+9YkQgAQCX1pXUvvrCCHzjc3lL1RiaTeXl5+fn5+fn5hYSE4Eh2CKHak66lcT9+A77+4rTZxNevuouvKyiaf/3W7PDQ/8bgcHWo4QQEBPjdUVmBt/sNnvgO/3TZjJGP3h+tZkTF3rhAzW1DyIC3Vn8+tF7irUpCQsKECRNwJDuEUF2RpV/hN//GREXLp87iq3/6b0th0Yy0ayP9/b7F4epQw3ryySefeeYZABBFcf78+TbnqeIqehL88MeHrs4+8ffJlJslbGBclwceSAiit7MBwus+XoQQakDk1DHV1t+ZhHbySdNAJgOdrlqL7ysuHX/xSi9vryUtmuNwdagRsn+R3eEVv/iMnd4upvuAmO4AAMBl7vt80rzP6IXcNQ0SHkII1Qtx326ye5vQvpPHpMeBsXuy0pa/1ZpHLlzq4uW5vk0LJVZ31CjZ3a2p5s/XB4z532ktQFlt79x2wHvn27/8TMMEhxBCdY9SYdsmYddW2v0+48BhNajuFwzGIedS2nq470hM8KjOGPUINSS73+AVAxdsmjtqxKDheW8PuL7o4/UZUePf2r1zXt+IxvF0OYQQqi5JEn9bI578RzbkEa77faDXV7eBCzr9iLTr0SrljsQEL5blcDBa1FjZPwdPfHq8tnmn27gh896kfd/ZtfOVfljbEUIuizPJ1q4Q6kWafwAAIABJREFUb1yTjZ/Mdu4GBkN1G7io0/c7eyFYLtuV2NZPhoN2o0bN9g6qV5fyliE0Yqcv2WCaMvbLw2cyi7t6qQCAyH283RsqQoQQqgNUq+GXfk9yc2RTZrLxbWvQwhW94eGzF/1ksk1x0cEKHK4bNXa2C/y0EF8bT4l9KSn0JQDAx8UihFwMLSrkf14Eer3w2Axlm4QatJBqMA64eMVbxu7v2M6jOk+PRchZbBf4/527/J5kcwoAADBe9RQNQgjVOZKVwa9ZAQqFfM58k9KtBi2kGowDU1J95LJ9HdqFKRRqLPDIFdgu8OEtW1teU6709u1Sznose4In4hFCroFeusCs/QVCQuXTZxNPL9BoqtvCWa3u4ZQrATLZ/o7tQhX46Ydchv2LRKRb654YNGPFZZ1016Nq8Cd6hJArEA8mSzs205ZtlFOegBrV5r/VmiHnUiKUiu0JrbG6I9dit8ALJxf93zp2yqqTr/QKd7O6VZSoKl8GIYQaAUkS/tgg/n2IdOspDhpRs+p+sKR0+PlLrd3dNrWOC5LjNfPIxdjdZcWc7MKO014a16l5tQeCqA/5+fkHDhy4evUqAERFRfXo0cPZESGEGiNiMPBrlkvXr8pGjqPdkoDjatDIrlLN1Ou3unt7bW4XrxD4Og8Sodq4evXq+fPnAUCSpOLiYpvz2C3w8sSenQqOXSimcQGNYSTGlJSUDRs2aDQaAPDz8ysqKnJ2RAihRofezpYv+0EyGeUz5zBxLc1P/6yuX3Pzp1+7OdDfb13b1m4MY8QCjxqZF198cfv27QBACElKSrI5j+0Cf+Xo4QIJACD+0b4/zhs0I2XuqG7NA9zujMjIBN6f1NrmgvWqe/fuo0ePTkhIAAA/v2o/1REh1ORJZ0/xG1aBt49izovkzpPdq+urzJz56ddG+/muatdGjuPMo0Zp9erVBQUFACBJ0meffWZzHtsF/p0BfTZY3QZy4f+e+MV6smosr1ldZ2E6zM3NLTw8PDYWH8uIEKpAkoQdm8UDe5n4dsahI1U1re6f3Mp89drNZ5qFfRAciNUdNVpubm7maiiKolKptDmP7QK/WsM7oYAjhFDN6LSw9hfx1nXZ4OFs7/6G6t8LBwAU4MVrN7/Kvv1KVMTHsdFqtbrOw0SoIVV19Zzh8tqXRz44a20BBeCPvvVgl+GvbEir9vjNCCFUX6Qb12DxQsjNkc94iu3zMNToa7dJkqZevfFN9u1vWsZ+HBtd50Ei1PDsF3jdwddGzNjAPTCwgycBkMWPmzeC/W3aoJf2NlB0CCFkB6XiX/v5H74GLx94+nmmZZuaNaMWxCHnU7aWlC5vHTenWVjdxoiQs9i9ip77Z+1v+kk/rP9osAcAAPFNHPf2Kr/b8dM2wLf9GyY+hBCyiXAcv2qZdO4027mbOHQUyGv49JfbHDfkXEqawbi2RcywoMC6DRIhJ7Jb4KnBYPIKDbzr7L3CP8DblFm/QSGEkF00J1u+4kdJq5VPepzp2FU0mWrWzk2On3D6vEYUD3Rs14bBS+pQk2L3J3pF13735//y4U/nNWUj1UrqC8s+XpnVs3dDhIYQQraIJ49x334BLKuY+xLTsWuN2zmu1Q1IvwEARzoldvHyrLP4EGoc7H6DJyETFy46MGxm54gP2sTHBbKl1y9eyAscu3jH5IYKDyGErAiCsGOzePgg0y7ROGiEKii4xi39UVD06OW0VgrFrk6J+HB31CRVMbqyrPn4n072enrn5uTTN0tEjzFzvx4+4oFo94aJDSGErJSW0A2rpKwM2eARbJ/+hlrcxvZTTu7TqVf7+Hj91CwUqztqqmwX+JvnzxkCW7QJ5W9euFEigax5j4HNywZ+L0k7W8L4dmiPt5EghBqOlHqZWbWMyuXyp59noprXuB0K8M6NW/+9mTkjLOR/keGcAe/6RU2W7QL/cvfOp589lPJ+5svdx603VpiMj4tFCDUYSsUDe4Xd2yA6hkx8nPGt+TDVJkmacf3WxqKSD2OjX4uKMBgMNXkKDUIuwnaBX1Wqlxi5XNZ9ValxJa0wmbA2lkEIobpGeI7/dal0/gzb4z5+wDBZJUNyOqKQF0ZeuHRMo1nRpuXk0JqfvEfIVdgu8DfOni6UKl+ICejRrUU9BYQQQmY0P0++/AdJXSp/dBrToTNfi5/TrxmMQ86n5HH87y1iBofUcJh6hFyL7QL/eq+eNn6Zt8Cf6BFC9Uy6eI5f9wu4eSjmvEBCw2vT1DGtbkL6dQ+GPdw5MUKsydNjEXJFtgv8Gp2wuuIv8xb4hCWEUP0xn3TfuYVpFW8cNkoVHFKbxtblFz6Rdq2Dp8fmdvHBCrmmRs+hQcgV2S7wDPPvWXZqLMzMLuWoVcFnPONianXIIYSQTcRkEjasopcvsr37sQOHUa22Nq19cDPzres3H/H3XdUu3o2p6tlaCDUt9u+Dl26tnzlw+rLLuru/zuNP9AihekBzstnlP1CDQf74TCahPaV2fkisAifRWanpy2/nPRse8lGzcKzu6B5kt8ALJxf/3zrF1LVnXusT4WZ1eJCaX8hqh5T31/c/HNTKJS5o8DPTu/nheQCE7iXSmZP8b6vBx1c2Zz4THFqbpooFcdq5i4dK1YtaxT0ZHMhxeDccuhfZf5rc9fScDo+/MKZDRAP88SveSE5mhr32ckd67OvPD97uMjIM/+JG6N4gScKOzeLBZKZNW274aIWff20aS9Ubhly5WiSKuxLb9vXzEQS8qg7do+wWeFl4ZFDG2fPFNC6g/r9Os9GjX5muUFJ9alqRd6wnfn9H6J5AdVr216XirRuygcPYPv1NOl1tWksuLhl38YofyxzpnNjG3a2ugkTIFdkt8PLEJ17vN37uwBmX5o7sEu2rvFN0maDeDyY41j6f8c8JsWNS87If9Wnx6VXfLk2+UqqMSpo0Z2avcJl468AvO1PF2P5T+8fKCo+vWr6zMGHSjJ5eWOARavpoVoa04icwGeXTZzOt4mvZ2k85uc+kXu3u7bUiulksVnd0z7P/E/2e9+f9kmqE1P+b+Yv1/6vG8prVjrRuyti9dPHxnl/2bK4kAEB1/yz75u+QuQtfbV2w6b33vtvT5t3BwVF9ps7qAwBUc+Lnn853nf165wAcKA+he4B05gS/YQ0EBIhTZjIRkbVpSqT07Yzsz7NyZoSFLG4ZZ9TivXAIAanNdar20LzkBe8sO3ZbIyY+s+TtAT4EALhj/5v5e+xnH44IIaA/9Mns3R2+enfQnYvpjEc+e+bXkphQFQAT2mfWzAeDCACo1epvvvnGPEd6erpOp/t/9s47IIqjC+BvyxXuDjh6BymiIBawl9h7b9g1xiQaE3tiEk0ziSYxxvJFY2KKmmiMLfYSe4ldsStYAEF6h6t7W+b74+Ry4nF0EJjfH3q7M/v2vbkZ3u3szHtyubxYYwhi/Pjxbdq0KaWOLMsKgiApDH7JsqxI9CyvFEKI4zjTIcdxFEURhQEADAaDWCw2fuZ5niAIsnCNrnmRIAgIIYqiXixCCPE8T9O06dY0TZvkm2vCcRxJkhbl8zwPABblC4IgCIK5/HKYZuXWVkx7sVWr1LQirVqlpr3YqtVmGsdxHMdJpVKLty6laZXVYazItzIWnjNNr5eeP01dOCs0acYPHM6RZHGtWhrTCnhhcuyTkyr1F17us9xdS28ax3E8z5v6arlNq4fD3MpY4HmeZVlTX8XDvEymmXcYo2lpaWnfffedwWAQBMEk0Oi4jVohhHJycvbu3QsvUKpsckUpTTY5wrXHe2t7sFdWTjlUeArlpKSRnp2N7/Mlnt6OmSnpAjg8U1jaYf76Di+IYVk2Ojra+Fmn08XFxVn/RdK2bduIiIgSdCvE+B2b1uAIgmC+HqdIEULI9B0XKSIIQhCEF4tQIcUVmR8aO8SLmhhvXZx807/W5ZfbNCu3fklMs251lZomCEI5TDN2mLKaZhRVpKhKTTPvMGUyzcqtnx1q1NJdW6mUJLZ7H65tR4QQMpNfpMOUaFo8Yxgbn5hsYDc18O5nb2esXErTXvwLUG7TXoax8JIMc2N9PMzLMcwtmpaenn7t2rUXzSTMIs45OTmBRZAlIqVU0HsXDfodkVJL10gjLV5lAcPlFRM+O5InIIQQ4p9snTv1l3uc8SBl1/wpa2+ypZWEENq4cWNUVFQZLigJlUqVk5NjOiwoKDA2IkKI53mVSmUqUqvVHMeZDvPz802fdTodwzAWixiG0el0Fos4jlOr1eaa8Dxv/CwIQkFBgalIo9EYDAaLQvR6vV6vt1hkMBg0Gk0FTdNqteUwTa1WZ2dnl9I0lmUtCrFumlartVjEcVzpTSuuVa2YxrJskVYth2k6na4cpmk0mqysLNOhSqUqh2l6vb70ppl3mNKbZqXDGE0TkhKZrz7VL/qAf/TAWGR9LFg37Vxevuv5y94XrlzMyi6uVa2YptVqzVtVrVaXz7R6OMxZli3ONJ1Ol5mZaW5apQxzk2l1eJgX6TDmpun1+szMTPOuazKN47iZM2ciS1RnNjlCIhEbMvVGeUinM4glEryWDoOpNwg3o9idfxHOLobxUyS+Jc0ClsQfWTnvJqW0VCh2h4UokZXsWBhMPcWyg6efvRIgaLGEyL51cNfxOxk+Q98foHiYat8oSGk9/F2xEI6e7sLV1DwEzgQY0lNzXZq4lWWv++XLl7/++muWZQEgICDg2LFj5dMDg8FUN4JAHD/MnjtNNo8QjRyn11tJZlUyPELzY5+sTEp51d11XXCghCQZhqksTTGYWsGCBQt2795t/Ozr62uxTgm+2hCzLrLn7BOsklZ3bjS3VeK0sEUFE3/ds3ZUgKgcComatA//efvR2B5j/fPOHIv2az9RWZYneAcHh5YtWyoUCijeHgwG87KBtBq06TfiSRzdfzDVuQcQBFTAwedz/Nj7D47k5H7h5f5Jw8BK1BODqUWEh4cbMychhNLT0y3WsergUfpfHyy43W1T9I/0B/5bgQqYc+ACNWHgtNmbR+1/rRwKEfI2b7z7dPUP86braZc2U+f0cS3TDH1wcPCIESNKv4YOg8HUOCg1hf3jF9Dp0PjXqLDmFZQWp2eGxzxK1DO7wkK6ics5l4jB1AFGjRo1fvx4AOB5fu7cuRbrWB0h7I1/L7tG7h3mI9pvPEEqI9757NV1/c8AlM7Bi9rM3WS+aY1QhIxcsHJkqa7FYDC1HCH6Lrv1D0JhR0ydITgUs9C31JwpUE14HG9H0RcjmoXJZQUFBZWiJAZTV7H+E5iiKEane271Cq9R68RVkmymRB4+fHj06FHjFL2bm9sXX3xRI2pgMJiSQYg6c5w9f4YMCRONmWQgCDDba1QO1qWkzXwU185OsSssxFlUnleEGExdYtOmTZcvX4byT9GLWg/oZXhj8aqJmwIAAJBQEL1z4bw/2D5/Vr6ypUClUj148MD42cfHBz2/ERCDwbwsMAy79Q86+i7Vow/dsx8QBFQgnxuP0EfxiUsTkya7Oq8J9Jdj747BAMTHx0dFRRk/Ozg4WKxj1cETykHfbpwydFxHvwKSFx8PdFal6dx6f/LXdwMqXdfS0LJly8mTJ+N38BjMywzKyWZ//xnlZHPDx0jatK+gNLUgjL8bczgn95sAv1kuTjSJf9NjMAAAn3766ZdffgnlfwcPQLj2+uZc7LRrl6LuJ+RRzoEtO3UKdcG/nzEYjEXQkzh22yagKPFbsxlb+wpKe6TTDYx5nMFx+5uG9HN00Ol0laIkBlNPKHkZKuKQ1L1xa7dGAACgTUlIAELu5+tc1ZphMJhaxpULcHgf4edPT3ydkCugYovgjufmjbr3QEmRF8KbhcpllaUjBlN/sO7ghcTtr/ed8keMRngunJ00Eum2V6laFjEPdOPl5XXmzBn8Dh6DeSkQBG7vTuLSOaJ1O9Gw0UBVNCPkzylpMx7FtbWz3ejrFYi9OwbzAvPmzTt06Fmql3IFuuGi1n66nZq4JeqDzp42ZjHnCIsR6qscFxeXrl27KpVKAPDw8MDeHYN5KdBp2c3rhbjH0Ks/dO5eQe/OITT7cfyalLQ3PdzWNAzQq9WVpSYGU5fo2rWrMbcqQujRo0cW61h18HxqSnaLye9FhjcoS0TZKiMgIGDIkCF4kR0G8/JA5GYbdmxBBXmiSW8Y/IMq+KM7m+WGP4y7oNasbhgww8sDIVShkLYYTN1l8ODBI0aMgPIvshM1axeedeVuLgp0wg/LGAymCMKjB6LNv4HcVjzjPcLVrSIBaAHgvkY7+G50toE91DSkl6PlbT8YDKb0WHbwDy6ezxIAAELGdf9lVt8p92cOa93AyaZw5o107ti+UXVpiMFgXkb4Kxe4PTuQl6/otamETF5BaUdy8sbcf+Asok+ENGyhrOjyewwGA8U5+EW9u+40+y1+99PXN5sXS0eyqr+qVC2LpKamPnny5Nq1awDg6+vbt2/f6tcBg8EAQtyxw/zxw1SrtkzP/jYV9u5r0zMXPE3p4WC/LbQRXbFpAAymnnDz5s0bN24AAEIoMzPTYh3LDv4vFVsDDrwkHj58uHPnTmP+HDc3t9TUVLzODoOpbgwGYcefKPou1bMf3atfBffCMYIw9WHsH+mZs709lwc2oAgCr6nDYErD4sWL9+3bBwAEQbRvbzmiVEmr53Qx2+YPfWXqtiwEwF785JWWgz7Y+aiGok107Nhx//79OTk5OTk5iYmJ2LtjMNWMEHOP/PUH9ChGNP41ule/CkpLMxi63by7NTNrTQOfVUH+FB7RGEyp2b59u9EbZmRkNG9uOU+j9X3wmjMLBk/ZGzTru+YKAoAOiZw1+M6CyX3VytgfelaFxtahadrW1ra4oLsYDKbqEOIf8/8cEJ7EEd4+1JszSD//Cgq8pdYMuRut5vlDYSHtJOJKURKDqT+QJGn0hjzP07RlV27VwRsub/tbO/bnHV/3kwMAEMpmkZ9tcUgLmbwTasLBYzCY6gelJNGH9rKxjwh3D9Grb+r9AihJRfNJ7s7NfzsxKcjG5nSLpj4iWo/fu2MwVYBVB490OsbW3fm5wSx2dLJjkqpWKQwG8xKAcnP4Iwf5m9cIeyU9ZiLVohUQBGi1FZEpIPjsSeKShKdDnZ3+CGmooCi+YmlkMRhMcVh18OJWPTpmLvjq13F/TGtqSwCAUHB34zebktstqh7lMBhMjUDodfy5U/y5MyAWUX0G6lq0klbGqzE1z0+KfrQnK3u2m8vyxsE4MxwGU6VYTxfrNmbl2tMD34jwXtI4JNCZyo+/dzfDeeSPhydUl3rPYR6L3pz+/fuvXr26RlTCYOoaPM9f/Jc+dpjnOeqVrnTXnoJYAhpNxQXH6Zkxd2Pi9cyOJo17SUTYu2MwZWXjxo2LFy8GAIQQAJhWmpcrFj0A3WDUr1Gdp/+z78SNhDxePmLm6kGDO/nVUOoH81j05rRt27ZG9MFg6hjC/Tvcwb0oOxM1bSEeMJRUOgAACELFJZ/ILxj/4LGSFl0Ib9pMIS+o2OY6DKZ+0rx588jISADgOI4kSZIkofyx6AEAdIk3ogzhb7w/hIvbs+TzzWvuPilYMK+/X00sesWx6DGYqiItlTywi42PJf0DReNeVdsppQpFpQhGAN8mJn0Un9jJVrGzaYizSFQpYjGYekh4eLjRA+p0OpqmRSIRlD8WPXD3VvZ75f37w/clteV+fmPSD7k9eil/Gj1Ifer24laVrzsGg6l+dFru6CH+0jnCXimaMIVs2gIAQKWqFNlqnp8S83hHZtYb7q7Lfb3ssHfHYKoRqw6evfb7T/c6/XxjXT86afXOq43fu7rzQ59jbzZ+ZzNgB4/B1HYQ4qOu8If2IoYhuvbi2neS2FVmEPg4xjDxQexjnX5D44bjHJV4tTwGU81YdfBCekqWV0RLdwrlnzt1u0GflUEUEF4+znmWp/sxGExtQUh8Ivp7K5eWQjaPEPUfwitswWCoRPm7s7InxzxyFosvRTRrrpAbKlU4BoMpDVYdPB3YyC/h5PFHudKjG04qe8xtQgMXe/pMvBte1IbB1FaQRsP/s4+/eolwcRVNm0UGBAEAcFxlyTcIaH5c/Oqk1N72tlvCQh1FJS70wWAwVYLVsUc1mfrZyM1jmzrPR4qOy/7Xjrz5Tefun0aHL1tTXephMJjKAyG4GcUePYhYA9Wjr7ZVu0rZ3W7OU8Yw4W7MNZX60wY+cxyUSuzdMZiaw/rwI9yG/BwVM+1aLAS2beUjEp62fWv1kU7DuwVUk3bPc/78+YULF+p0OgDw9fW9efNmjaiBwdRGUPJT2LWNSEokmkeIBg4j7OwrmAjuRXbl5L4dl2BP02daNO1gb4v3wmEwVcf06dN37doFAARBNGnSxGIdqw5ec3rxlINNVi0d1s2YdI706TZpfKWrWWo8PDwGDRpk3AcfEFAzPzIwmNqHTscdOcBfPg+OTujVqaLQsEq/Qz7Hz3wUtyk9Y4CD8vfQRk74wR2DqWKGDRvm7OwM5d8HL/WQJu/YeXHh0OEOL0PUKbwPHoMpGwiRt28YTh1FDEP36s+16wRkSRmiy86J3LzXYh5nsewyP++ZXh4S7N0xmKqnd+/eAwYMgPLvgye9x3717rUFke88eX1guLe9uPBPA+ncsX2jSlYWg8FUKig1hdu7QxQfS4Q2FQ0eQTg4cgwDCFXiLbS88GFS6k8ZWe3tbU+1CPMi4GV4EsBgMEasp4s9PLfPrB16gAsnfjQ/L41Euu1VqxcGgyk3Oh13eC9/8Rzh4MSOnqiIaF0VNzmakzf9UWwSw3wV4Dffx4siCJz1FYN5qbDq4CUjt+sq8/c+BoOpWhCC61fRySMCw9A9+1Fdeugrlt3VIjks90lcwi8pae3tbbc08Gnr5lrpt8BgMBWn5LdlyJCflpZvMJ/ZI+R+vs5VqBQGgyk7Qvxjbv9uMvkpatJMPGg44eBY6bco4Pj16ZlfpqQJCNYGB071cFer8FJ5DOYlxbqDFxK3v953yh8xGuG5B3k8RY/BvEwQBfnc4b38jWuEiyua8DrVOJSo1KjvHEKHsnM3pWfszcrRC8IIZ6fvgwM8xDWRcgqDwZQaqw6ei1r76XZq4paoDzp72pgtviWkVa2WRRBCPM9zlRdySxAEhJBJoPGzMcOuIAiCIJiKBEHgeR4VTmOYX2VRiPGz8RKLRS/KN6b/M1YrUpPneVPe3yLyAaC4W5vLL7dpVuRbMc38qhJNM30dFTHNYpF106y0qpUv9MVbl9U0661anGkvtqpRT6TRoDPHxZcvCFIpOTSSiGjDsixUUocBgrhUoN6akbkzOyeD5YKk0ve9PSOVtkFyOUWSxsqlHwtWTKvBsfBiqxb3reFhbn2smUwrfauWz7S6PcyLM83UVqbv12SauflFsOrg+dSU7BaT34sMb1D5W2vKgSAILMsyDFNZAo3tYhLI87wpYjZCSBCEIkWmjlKkCAq/TotFpqY3LzL+WDEdCoJgkl+kiOM4825USvnGS8xrMgxjkl9K04ydqTjTjH29uCKLppk0MclHCJGFG7dKb5pglqHcutVWTLPSqsWZZrx1cfKL3Lo404ytWlbTjG313K1VKuryeeLSv4SA2NbtyM49kEQCLFsppt1Qa/akpO/KzUtkDM40PURpN87Fqa1CbtTEYDBYMc1Kh7FoWpEOb96qRfpqZY0F0zA3/iUtUmSlQ1bpMDeeqaBplT7MS3lrc9OMV1XFMDf3bXVymFsZC0YrzLuuyTQraZysOnhRs3bhWVfu5qJAp5dh98uDBw/27NkjlUoBwNvbe8WKFRUUiBBiWVYulxsPBUGQyWSmPqTVak1FGo1GKpVSFGU85HneVKTX60mSFBdOV5oXGQwGQRCMChcp4nler9ebDtVqtUwmM/1IVKvVpiKtVisSiUSFM67mQoz9QCKRvFjEsizLsjKZzGSaXC4vq2k6nY6iqLKaptFojLezaJp5kVarFYvFNE2X1TSO42xsbCy2qk6nK6VppmzKpTfN6NvMW7Ucpun1eoIgymqaVqv975A1EBf/pS+cRXod1aYD1aMPg0BhZ1eiaQzDIISsmJYAxNaMzG0ZWQ+0OiVND3N2HOPq0tXeltFqbW1tS2OalbHA83xx35r5WEAImbeqSqUqzbdmpcNY/NaMY0Gn03EcZ95hJBJJOUyrh8Oc4ziGYSyaptfrDQZDVQxzk6urq8O8SIcxN41hGKNWpq67fv36M2fOmGqCJSw7+AcXz2cJAAAh47r/MqvvlPszh7Vu4GTzrAVrah88x3EqlcoYqtbUcBhMPYJh+Iv/8v+eojRqonlLUZ8BhKMTAFQw6GwyY9iUmr4lI/OOVienqMFOjos83IZ6ukspCoxPGJWiPAaDqTxyc3Nzc3ONn02/b4pg2cEv6t11p9mO1rufvr7ZvFg6klX9VTk6loVmzZqNHz8eR7LD1EMIhhGfP8PcuAJ6PdWiFdOuo9TblyhmVJcStSDsTsvYlJ5xKjefJone9nYLG/gOdnKUUaRKpZJUQcw7DAZTWXzwwQcff/wxlCOS3V8qtgYcOAaDsYQQc4/8e6tYo6ZatqW69SIcnfRqdUUE/ptf8Ftq+vaMTJ2A2tvZrm4YMMLRwRYJpmlJDAZTByhz1GiU9udro+5vPLukKrTBYDDmII2G2/+3cOMa8gvQjZnkENiwItIyWG5TRtYfWdkPtDpviXimq8ubfj5BNlIofO9YSVpjMJiXghIcvPrG2rffXnk8No8tXADLa/NUnrM3VrVeGEy9h7p/hz12CHEsPXw0E9ZCqEAg2CsF6tXJKTsyswWEBjk7rgj07+Oo1KhUdjY1s+UVg8FUA1YdvJDw+7sfnHZdsHw29/u8Hb6LvxogvvHb57tCNn5eXephMPURlJ/H7d5OR98lGjcRDR9N2CuhXBFnWYS25+T9+vjJ5QKVl0S8wMvjNVdnX1tFpSuMwWBeQqwHurl//b73uH3vj22jpXaS22PgAAAgAElEQVStP+zae8jAgZ2kDzos37W048Tq0hCDqU8gxF++wB3aAyTJ9R8q79K9fGL0gvBbavqyp8kJeqaTvd220EbDXJwEg6G4gBgYDKbuYX2KHgkIgAAAWVCw8nHMU35gkEPrNu4zTgBgB4/BVDYZ6eTubVxSIhXRmho4jOGKjV9hBRXPr0/P/F9KeobBMMTZ6fcGPl3c3YxFeLcbBlOvsLoThm7RMSLlr6/X/JvMBzYLfrR7R7ReyLlxPV5mX13qYTD1A57nTx4V1q4AtUr0+nR61ARCJi+rDIOAViWlhN6890lCUi8H5Z3W4bvCGofLbKpCXwwG8/Jj9Qme9JywbNmJUQsXbh10+s1poz8d2NJ1Ka1DzT4/VV3qYTB1H5Sawu7cgpKfEq3a8r36k/bKskoQEGxOz/wkPiFRz4xxdvrMzzsYv2jHYOo91hfZJUUXdP3hVqaSApIMXHExauCx21qf9r3a+1WXehhMnYbjqNPHDJfOEY7OoulzeE9vKHsupVN5+bMePL6r0/dzdNgbFtKQIk2xMzEYTH3G6h8C9tLXPUbtlvi36dG3b79+/fp07TEqFEe3wmAqBZSSzG7fRKenUZ170L36Ai3iWbZMEpIZw3ux8VszssJlNqdahHVV2gOAMZYzBoPBWHXwkmG/xlydcvbs2bNnj3z32pJpavvQTr379u3bb/D47hUKuIHB1GsEgT99nDt6kFA6GCa8btukaVkFsAj9kpy6KDGJAmJVkP8kW7mDPV4Zg8FgnsP6VB5l59ey78SWfSfOBRDyo/f/+M2SVf+bv3nN5fG67dWkoBkqlerhw4fGfT5OTk4NGjSofh0wmIqSlQG7t3PJT6lOXek+A/Vlf+A+n1/wevTDR3pmqqf7En8/RxFdULFkMxgMptaRmZmZmpoKhZkDLdYpYZucPj368r9njVy6m054Nuswek6XbsOrQNuSuX79+s6dO1UqFQDY29vn5uaacvRiMLUAhPhL54iDe0BhK5o2k/QPAgAoi4NX8fyCuIQfk1ObymwuhTdtbW9XVapiMJiXmylTphw5cgQACIJo3769xTpWHTzz96v+o3bw7m2GjR0268cvu7zSMlApqgpNS0dERETv3r0bNmwIAI6Ojti7Y2oRSK3idv4lRN9FTZoRg0eSyjIvlT+uUr//KD7DwH7SwGeWo4O9HCeGwWDqL+vXrzc9wa9bt85iHasOngrsNrLnozOXbxz4S5PxNOFJfNwrr7zSrpmPbYWSVJYbW1vb4OBgnC4WU+sg4x6xB3YjlhWNnWRoHAZl/G2aw3LvxD7Zmp3bWWl3rFmTYJmNumLZ5DAYTG3HxcXF09MTAHieLy4PpFUHT4e/9cfRt4BXJd66eO7cuXPnfn136dQHaueI2U8uflEVGmMwdQ2O5Q7sEV06RwQFiyInEPb2UMacMXuzcqY/jFVx3DIv93cbBuJpKwwGU0pKs1+Wktra2SpkNlKxiCYJwaBnyhNBE4Opb6DMdPbPjSgjjeveR96rX1kf3PN5fv7D2J9T0l6xt/vBz9sTCdi7YzCY0mPVwfPRf324ZOOJMxduJxvsG7br0afPjHVf9e4S7l3mIJoYTH1DuH6V37+LkMtF02YxDk5l9e67s7KnP4jVCsJPwYFTPd11Wi3e4I7BYMqE9WxyT6Kuqv0HfzT9hz7d2/jb1cyb9ypEywtZLOdQ02pg6hoGhti1Fd25STaPEA0fA1IplGUbWybLznwUty0jq7udYn1oYz+ppOo0xWAwdRjrgW76fXe6H5996+CuXatP+gx9f4DiYap9oyBlXYmDuTg1bV9O/hNXl5pWBFN3QOmp7Ob1ZG4uOXyMqG2Hsl6+Kyd37pMkAxLWBQeOVsjssXfHYDDlpQRfbYhZF9lz9glWSas7N5rbKnFa2KKCib/uWTsqoAa3y1UacpJUC0JNa4GpO/A3rnK7thF2SuH1tykf3zJdm8IYpj94vC8nd6CT40/BgV4SMQ5fg8FgKoLV0PIo/a8PFtzutik69sf+MgKogDkHLnzpe3Da7M3VpV7VoqAoDY8XDGIqA46lD+7htm4iQ8LEs+YjN/fSX4oA1qWkhV69fkGl/i2wwf6mIV4ScdVpisFg6glWHTx749/LrpEzhvkUPq6Tyoh3PnvV49KZatCsGpARhB4hDqGaVgRTu0H5eexP35N3btBDRorGTQZJGebV4xlDz1t333oY29vB4VZ42Fhnx6rTE4PB1CtKiEVPUYxO99wkNq9R68R15L2ggiIBQMML9nSdW0CIqS6EJ3Hc5vVAEOzENySNQ0t/ISMISxOTv05McheLDjcL7evowLIsV/Z0sRgMBmMRqw5e1HpAL8Mbi1dN3BQAAICEguidC+f9wfb5s3qUq2oUHAcAap7HDh5TPoQrF/h9f5NePtSEKQxZhl50Ji//rYexj3T6t1ycljYKklO4B2IwmErGqoMnlIO+3Thl6LiOfgUkLz4e6KxK07n1/uSv7wZUl3pVi23MXZA7qfFreEw5EAT60F7++hWqdTt66ChEUVC68LE5HL8wMemPjKyWtoorEc2CkIC9OwaDqQpKWEVPuPb65lzstGuXou4n5FHOgS07dQp1qQsL6AEAQEHTAIAdPKbMMAy7eT35+AE1eATdsQsAQClWciCAP9Iy3nsczyC0Msh/hpcHRRB4qTwGg6kiSt7SzqTcPnfy6L/3U7W0w5M8cHIb3MypjjxwyGkRYAePKSNIVcBuWIcy07nI8aIWLUt5VbRWN/1h7Jm8/MEOypUBfgG2iipVEoPBYKyuogeU/+8nXcK6vLHqWJwKoYKHB78e1ypswKqbdSRkplxMA4DawNa0IphaA5GZzv6wAgryxW/NFho2Ls0lOkH4MiWtxbUbT/T6fU1DtjUK9BLXmVkwDAbz8mI9Fv2jn99fntzz51u/v97YGH5e+2DD5F6z5v4659TMalGvapGLJMAjFVO27F6YeguKjyU2/wZ29qJpswgHR1CpSrxkb1bO3MfxSQwzx9vzswY+corSlzGbHAaDwZQPq0/wXMztB95j3pvU2JRcRtZo4vxx3revVr1i1YFMLAEANcPUtCKYWoAQc0/4/WfCzUP89lzCoeTd6rF6ZuCd+0PvRvtKJWcbB30b2AAvpsNgMNWJ1Sd4ytvPS5ucxQD8N6PIZGVrnN2qQhX+6bEfNlxhJAI0HDVzeCNpVdzjeWykEipfpzYYqv5WmNqNcOs6u20TERjMjRwHNjLrlVU8//nTlDXpmS4iemtoo9GuznglHQaDqX6sPsHTLWYsGXjjg/GL99xIytfr85Nv7v1q/Mzdvm+8WgWa8PGX7nlP/HD+/Em+t05GV0u0D0IskfMcfgePsQ5//Sq79Q+yUSg5/jUQWXt9LiDYkJbR6PL1NemZsz3dY9pEjHZ1rjY9MRgMxhzLT/CjbIgdZi8Kbw3b94npgLBx/OkHmP9jZWtCBUXOCcy7d2TzoYfe3fpWz1ymRCLnOQ2LHTymWKjL57kT/1At29IjxnCCAMXP91zTaBc+ir9UoBro5Pi1l3tjO1saz8ljMJiaw7KD/+rspXetZFkjnSpPAT7x9OZ/HvIBPV/tGUARct/mHTo82Xz5obZlazlReXexDBKLFTynxsFBMcXAHTtEH/+H6tSVHjgMCAKKyT0Yq9N/GPdkZ2Z2c4X8ZIuwbkp7rVZbzapiMBhMESw7+KDWbYMAQHN68ZSDTVYtHeZhfTedFdinl6/xLdo3eBa9HuXe2PLDhhMP8iW+7ce+80ZnT5ry7frq1K4AoL/2y1rVyBndgsJDbU9l6ADk1uRWDmKJguPUPHbwmBdAiDu4h//3FNf+Fcmg4cXVyuW4r5+mrE5OcaDp7/28327gSxFV/sMUg8FgSoPVRXZSD2nyjp0XFw4d7lC+P1rM06Mbfrza7n/tGkgIAECayxvXXHKbufLDRll7vvzyp2ONP+/nWihZEtrJffX/vomSA/IZ/JbTs9MajWbnzp3Gz9evX7958+ahQ4es3LF///4hISGlVI8jCDnPFbC8TqcDAJ7ndTodQRAAgBAyHj6ryXF6vZ4kn/3QEQTBvIggCL4wWo55Ec/zCCFUGOPMvEgQBI7jzGvq9fribm2sbPHWxjMWb13ksBymsSzL83xZTeM4DiFUStMQQmzhK5IymWb6Eou0aplMs9iqPM8jnif27oQbV1Gv/myrdhblcwj9mJ65NC1DJ6A5Hm7veriJOc5QuAWu0k1jWfbFVi2racaTxXVI86az3mGsmGZlLFj51qyMhTKZZrFVrZhmtKKIkHKYVg+HuRXTjApXxTA3yq+0YV68aUU6THX+BTNvVaNp+fn5Gzdu5DiO4zixWGyqSRCESavU1FSwhFUHT3qP/erdawsi33ny+sBwb3tx4XM86dyxfSNrFwIAyjixfNHGK2kqvlm7wnPsvUs3XHsta25PE/b9+4fsPXo9r2/fwt8OhCwk8oNFRcVoNJrff//d+NnGxubGjRsm4y0ilUr9/PxK0M2kI0IKJKh43jihavzyzEtNPcP8c5GaCCHC7KHtRSGGwre2VSEfAKzIN/W86jTNOGZMc9S1zzSelxzYBQ+jmT4D2WYRiONevPUFjfbDlPRoPTNCafeJu4uXSAQMw5VOvrGorKZVVqta75BWWrX0plm5dZV2SChvh6nqVq2Tw9y6fHi+r9ZG0yplLFSKaXfv3l2xYkWRRjOHIIiwsDDLZcgK+h2RFjerSSOtXWWO4fKKCZ8dyRMQQggJqbs/ePX7KBYhhBAXu3nWW79Fc6WVhBDauHFjVFRUGS4oCZVKNWLnzldOnDIeFhQUCIJRVcTzvEqlMtVUq9XGH2tG8vPzTZ91Oh3DMBaLGIbR6XQWiziOU6vV5pqYflEKglBQUGAq0mg0BoPBohC9Xq/X6y0WGQwGjUZjOiyfaVqtthymqdXq7OzsUppmfDAtq2lardZiEcdxpTfNcqtqNfp13+sXzOFvRr14Fcuyj3PzJt5/SJw61+LqjSMpqeUwTafTlcM0jUaTlZVlOlSpVGU2DSG9Xl/ct8ayrJUOU3rTrHQYK9+albFQetOKa1Urpmm1WvNWVavV5TOtHg5zlmWLM02n02VmZpqbVinD3GRaJQzzkkwr0qrVNsyLdBhz0/R6fWZmpnnXNZnGcdzMmTORJaw+wUtGbteVnEKj1CCGMUhspMYfPISNTGIoYCpRfLlQIBQr1LQSmJcDlJnBbvwZ1Co0bjIZ1rxIqYDgfylpixKSxCTxQ3DgVA83benSx2EwGEyNUHKyGT771sFdx+9k+Ax9f4DiYap9oyBlyRdZhJBIxIZMvdGdIp3OIJZIyvJu//bt2xs3bqRpGgC8vb03bNhQPj3MkQNSA14VhQHhUQz750ZCJiPenIGcXYqUPtDqpjx4dDFfNcnFaXlwkJOonGMAg8FgKoXly5efOHHC+JkqZkduCX+nDDHrInvOPsEqaXXnRnNbJU4LW1Qw8dc9a0cFlCNbBuHo6S5cTc1D4EyAIT0116WJW1mW59M0bWtrK5VKAcDOzq7sClhABoQGL3uu91BXL7LHD5P+QaIJUww0bb4dTkDwc0ravNgnziL6cFjjV2Q2MuzdMRhMTSOTyRwcHIyfNRqNxTpW/1Sh9L8+WHC726boH+kP/LcCFTDnwAVqwsBpszeP2v9aORQSNWkf/vP2o7E9xvrnnTkW7dd+orIsvjU0NHT06NERERHluHVxKEhSjR18PQbl5nC7t9MP7lPtOtFDRgJJmoeySWYMwx7GXtNo3/J0XxrYwMZsVQ4Gg8HUINOnT581axYA8Dw/d+5ci3WsOnj2xr+XXSP3DvMR7TeeIJUR73z26rr+ZwDK4+AJeZs33n26+od50/W0S5upc/q41rhrlZOEhiAR4Gn6+ocg8GdPckcPEVIpN3yMpG2HIuV3NNoBt++zgnCiRVg3pT0Ubn3BYDCYWoH1yUaKohid7rnoXbxGrRNLSite1GbupjZmx4QiZOSClSPLpmMhcXFxFy9eVCqVAODl5TVzZiWkrJWRpEAQOl6QUeUO5oOphSQ+EQ7vFdJSqbYd6b6D9C+EKz6RmzfiXoyXRLLd37+J0r5GdMRgMJjiOHDgwOXLlwEAIZSUlGSxjlUHL2o9oJfhjcWrJm4KAABAQkH0zoXz/mD7/Fn5ypaCzMzM06dPG7cPenh4zJgxg6jw7Loxg6ea57GDrxcgJMTc48+cIONjwc1dNH0O6ecPAPC8g9+Umf1OXMIrSru/mzQmcdBZDAbz8nH8+PF//vnH+NnX19diHasOnlAO+nbjlKHjOvoVkLz4eKCzKk3n1vuTv74bUOm6loa2bdu+8cYblfwOnqIBQM3zrlCOZYOY2gPHkjejDNcuovQ0wtMbjRhDNW9JSizMRX3xNHnJ05RJ7q6/BAeJSQLnecVgMC8hq1atEolEUP538ACEa69vzsVOu3Yp6n5CHuUc2LJTp1CXuuQJ5SIaAHC+mToMysrgL18Qrl0WaTVEw8b0oBFkw0Y6nQ7IonM2PELTH8b+kpq+wMtjScMAvCwDg8HUaqwvsjv31biznbcs7NSmt3/hm3SUtX/B3LivN82uBuWqARlNAwI1YwDbmlYFU7nwPHn/Dn/9Khf/GCRSKryVLqy5bVBwcdUZQZgQ/XB3Vs73AX5vujpj747BYGo7lh08yr++bcOpZOb29oO3HqyQXDarxSX9s+mw19fVpN5zREVFrV692vjZ399/x44dFZcpF4uAAZXeWnx7TO0C5ebwVy4IVy6SahXy8qFHjKGatwSxGBUUO92ex/Pjb927qlJvCQkeqrQTikkLW1Notdq0tDSGYRiGMZ2RSqWmBBsajUZdGFaPYRiKoozxoIoUGff4mfJVmBfxPM+yrDHIhFF+QUGBKbeHXq9XqVTGIr1eLxKJTIE1isgnCMI4bVikiGVZQRAkhe9EzIsEQWAYxsbG5kXTjCE5q840hmH0er2pVXU6nVgsLodpCCGLt7Zumk6nM29VmqbLapoxAYmVb00mk5lMk0gkxXUYkiTLahrP8waDwaJpxlCspg2l1juMFdN4njfvMCqVqhymFddhrJhmb29f8dVd1cCSJUsOHDhg/GzaEF+EYhy89vG/+/bcNmQns5mG/XvizIwlSGmXBdMqW9VSYWNj4+npaezNpc8oYx2FWAyMQV04wjG1GITQoxj63GnD44cgElEtWhqat5T4BxYX48lEgp7p+zAuneWONW/yir3dS7jTfdu2bQkJCTWtBQZTL2jatGm/fv1qWouS8fDwCAgIMH4uW6Ab0mPUDydHgeHEgr7He/7zdQ9xValYJqoi0I1cLAHADr6Ww7H89Wv8udMoPRVc3OjBI6iI1iC1YYrp9OZcV6kH3okmETob3jRMLqsGZcuBwWBo1KhRly5daloRDKaOc/DgwZfwJ75FpkyZMm3aNCj/Ijtxj69P9ig8QKxazctspXVrN5lMIgYANVs7vlFMUbRa+t+ThutXkUZNBjcm+w/Re/lIbUu7nuJoTl7k/Rg/iWRbgG/Iy+rdjchkMk9Pz5rWAoOp40gs7aypvRTnroWsi+vmjZ/4/XUOAFD+xW8HBNrb2du7hgz46HBysXlpax+kRGrD82pDPV5FzxqgNv6+0Wq5o4eYpYuoC2fJ0KbiuQtEU6YTDRtBqV+erU/PHHDnfltb23PhzbxEdWlrCAaDwQAU9wRfcGZ+174/Mx0nfCojAPTnP5/08SXPGb+taKc6tOyz0eNdo07PbljNigJAbm5uVFRUTk4OALi6ujZr1qwShIrFcp6rt9vkUEY6/eMqTqvhpFLCXknY2dMKO9S1B+H+Ej8sarXE+TPM5XPAcVSbDtqW7ey8vcskgEPow8Sk71Mz3vRwWxscSBN4szsGg6llJCYmxsfHA4AxS73FOpYd/Lavf9FN/jtqbW8lAcCc+nP70xbv7Vv2WggFgyPYey0274TZC6pQ8WK4ffv2zp07jetOlUplTk5Oxdc6IrFEwXEavmik0voAyslmf12DbGRU30GkqgCpClB+HvX4geHmNTK0Kd29NzgVzZpasyCthv/3lHDhLMFxVJsOVNdehL09FL823iKJemZs9IPLBeolft4L/StnqSYGg8FUMzNmzDBGsiMIon379hbrWHbw12479l/QzZjqjbtz8kx22IShwRQAAOkXEe74dUwVaWydNm3aDB8+PDQ0FADs7OwqZycDSSoETs2/XNuiqgFUkM/+sgZIip/4usjVzbTUvCAnR/7wPn/6uGH1d0RQMOrWG4rfO159aDXc+TP8xbPAC0Trtnz7LhI3t3KI2Z+d81rMI4ogdgcH9nV2rHQ1MRgMpnrYsmVLbm4uAAiCsGzZMot1LDt4jd7GUWZ0n0LCmdPxXl26BhXuNSJfCABWXRi3yZk2BlQWCkGodw5eq2U3/wosK5o+m5U+v7iMpql2najW7fkb17iTR+GXNWyjELr3AMLbcqzjqgUh4UmccPWi+NYNngCqbUeqa09OagNlf6XCCMJHyak/pGf1clRuahxsy9fTlzIYDKZuoFAojNvfzQMGFMGygw/yTT596anQ2p8Unuzfc9P2lYUtni1CEhKuXcv0619FGtcIcoTUL1lgk6pFr6e3bACVSjRtFuHkAhb3klEU1aqtISSMvHsLnTluWLOcDAkjO3QBO7tqUrIgH25dN9y4hrIyCHsl366jrFsvQmELUDQxTIkggO0ZWQvjExL1zGJ/vw99vUkCdDrs4DEYTB3HsoMfO6n58o+HTsh6tXnG399dchi8oKsMALF5Dw5/O+2bO+EfbqhmLasUBaAChGpai+qDP3McsjJEb80m3D1KqEqSRHgrcau2fNQV/uQR0a9rDC5uZKMQslEIePlCSQFkygxC6GkCH31PiL4LqclAkkRoU3rQcDK4sV6tfubdy8iFAtX78YmXClS9HJSbGvh0cHOtZJ0xGAzmZcWyg280668dBXM+2/zN4QKn9gs3ftVPAaDfOc5j9G5Zizd+2TmzUTVrWaUogEiBeuTg0Z1b0DisDFPuFEW1aU+1bKO5ekmSECfcjOLPnQaRiPDy5by8CDdPws2dkCnK+XBvMAhPn6DEBCHxiSQ+1qBRg1hCBjdGbTpA4yaiYuIvloarKvWXcQn7c/PC5LLDzUL7OjoUt9C0lsMmn/zhi283Hr7yMF0vdvQO7TR02oKFkyKUz16xpd88doNv2qulZ+l/jvEx37SP2NT73K3FESUko3qe0t6Lj9/29th3/7rfcPGtE7P8i3njZzj5dsCAmAWPTr5Tti0SGAzGRDEDmPbuu2hn30Xmp8SvfHLk6rIW4Q3sauodvHksenMGDhy4aNGicotVEEhdbDyAugZKSULZmULPvmW+kqL40KZ0u46AEEpJYqPvoacJQvQ9dOFfQEgMYFDYEi6uhLMLaWdPy20FFxfCRgY2MhAQ4jnE86DTCgYDmZPN67QoJxvlZJMZ6XxuNi8IQItIL28+rLk0rDkZEAQ0zVQgtuCRnLyliUmn8vJ9JeJ1DQNe93SnakNk6XKBsg683XnEn0TPd+b/8GVDO0NazJlN/5vW+cTj42e/bCcHAPby8lFjND9l7BqrqHJlSnkvLmrdZ79n9/712MK+XvVl3GEwlcKuXbuWLl0qCIIgCARBmFaaly0WvSVI92ad3StDxXJjHoveHC8vr4qIVZCkus46gKLwd26CVCoEBJVfBEEQXj7g4oYEQSKVgsGAMtI08bFStRplZwpJiWRWpoT97z25CMD8dTcNwJEkoXQgHJ3Az59s/wrdwJ/w9AaK0hUUkBV4xy8g2J6Z/U1i0m2trqlctikkeJDcRmFjU3e9O4CQtG3F5pQ2S27vndfQOJQHjBjXx61Tq6+/2PrOwdfdy2M5q9VW7aZRQZVfQAa079UmCOfsw2DKhJOTU0BAgCAIPM8TBGGeYsdi/TJNwdUwVRGLHgDkJKkh6suThHD7JtGoCdCWA7flc/w5tUbKC0qaBgCGYRQikVJAtjRlV9wbd7GY8PYV7JR0oW/WqNVMXq6DVIK0OtBp9fl5EomEsJGBSAQikZYgFR6exlzsrFZLi8UEXdFOaBDQ5vSMpU+TH2p1HW3lB5uG9nNyIIrv9HUHISMlnRc38XYza0JxyJgFC/MeefJIiFvVOWTeeQPAOFvp778kHn7DJefSDwsWrN5z9anBPqjDyHlffflqCzsCgD0zK2hg+tJrY2/M/egP9aRf+gKAIXbX/I8W/X42XmvXsPuri1Z8PjzIuFAXZVsQguJWPn+v1+nLPy74eM2+K3HZrMyjSddJi1Z+OtCPzt4wwGvKYQZgqrtkw7L7594LzLWsEgaDeYEuXbp07doVAHQ6HU3TxhyA5Y1FXz9QUKS6xrb+VSsoNRllZdD9Bj13EuCmRns0L/+fnNwL+Squ+PWGEpJ0EtFONO0kEikp0pGi5CKRjKLsKIpjGHe11liNYRixIPjLbN0d5c4ikY2BkcrlphSZSK2GymttLS/8lJG95t7DJIbp5+Twa8OAcBGtUFT9bPRLAh3Uro3L0j/fi/xQ++GUIZ2CHUQAQAUO+9S4KZaftv+x09Qm0zRL720c6+liuP3t4D6fp3V979st7eySj37/+dQe0dpLh99uSAEAcHdXvP5VYL8Pf+3VyfPk3/yTn6fObDx6wfd/euWdW/fl8jF9Cw5c+6G3kmCKERLw3L2cM7eNGTz7fIv5X23p7kOknF/32Vfj3vZ/cGCK+9gtj21nt5qY8N7Vra8HuLBWVcJgMBUCO3hQULSBIA1C3V9nx9+5CWIJ0bCxaadZgp7pezcmRqe3IcnOSrtlgQ2aU5SdQm4s1eoZDSAdQWh5QcPzaWqNlqazWDaH5bJYQ4KeyRcERhC0vFDA83yRXwZPU4z/EwANpNKmClmYXNZUJgsmiYhSJ4OxQg7L/ZCSujopNZtlR7g4L/QLaaGQ8zyv08OGc4MAACAASURBVOkqLrz2YD/wux3fMjOWrpzS/VvK1je8c/cePfsNGzW4jacEACiZg6tSShC80tVVKcnd8dWyG8ELL+/8uKkIAPr3DGSaD/zmf/++saYrAQBsrGjo7c3vBVPAx5wEpJf0+/3gjyOdCIChg1pQEZ3XrNjxca83bPYVK8TsXlLuVhbdatrydYvH+JAA0C0g+UDEhpgEDjykSlcHGUlI7F3cHGzyilepBhsVg6krYAcPCpoGADXP1/l8I8Kdm2RoGIhERgcfrdX1vnWXANjXpHFPJwcbkgSAgoICO9tnT8A6mqIoSix+li24oKDArnAe3mAwCIJgWg9hXpSnVmdpdZxCkcWymSz7pEAVx/H3tLp1KWnZLAcA3pL4Po4OvR2UHaQS97JnIn7KGL5PTl2fkcUgYaKb69sO9hGuL1dI3eqEcOowb8v1mbmPr545efLkieNH1s3fuHRBYOTa/Ztea/xc47JRJ86ogiZ3dSvIzjaeadqto92GG9efCl19AYDy69Q5wPTgTNj2HDXA6dlUubT1q+ObrVp58Rb7qqh4IYFmN6Obz9hyCAA4dXp87KPoq9v3PeZR16LKW1PJp7JaCIOpv2AHDwqRCFjQsAZlTWtSpaC0FJSRTvcZaDy8qlL3v33fWUTvaegfZGdHVd60uYggHGnKUWYDYAMAaqlEJpMZp+iT9czZzMx/dczR3LzfUtNJgAiFvLeTQy8HZYeSltfpBWFvVs76tPTjOXkyiprq6TbP28tLIq6jm99KCRIERJCkyCGow9CgDkOnfgzM02NLJoz5as57ffrun+Jh9jKbyUjPM9z55hW3b8wF0GF5BcYoT6Srh8t/nYB09jB7sU+6e7kR2gIVx3DWhZhgEw58PmvhL8fu54nc/Bs3DabkFt6rl6QSBoOpENjBg0IsApZV6xmlqC63hnD3FojEZHCIAHBWpR7z+EmwzOZws1CZofpyxXpKxAOV9mN9bAEgVqc/kJ5xSqX5ITn1q4QkOUW1k9s0s7MLspEG2dj4UqSIJNL1hhSDIZlhbuXl780vyGG5VraKVQF+kY5K9/rzor14uNuft2yzvvM/sau7mqafJD69Pl4w7KdBx28/5sDDbFZKrFBIJN2Xxx57+8XNaSwAAGG+1FTISsvgAAoDWGamZ4EywpEWa4sXAv+lkRbi1k4as0r16q/njw1t4SYlhLiVncPWvnCBNZVqYQZjDOZlozYtLouKipo6dWqrVq1atWo1aNAgVEnh5xRiMQCo9PpKkfbSIty5SYY0AbH4TF7+iEfxEbaKk83DXGouD3qgjfRNV+edIQ2zOrY9H95svo+XgGB3VvbMR3F9bt8LuXEnKOp2xxu3I+/FvBf75GSBeqKb661WLa62bP6Wh5t9pQfRq53Q/i2a2abu//1QhvkTr+Fh1O0CcXBIwPONJArv0Iq+fvhoWmFd9u7KQc26L7lqcVMcUh3fcTjn2Qhjbvyx+aZNh87holIKYe9F3ebCJ703KtxNSgCALv5REg8vUDaVMBiMGZ988onRG7Zt2zY6Otpindr0zGpra9uoUSPjGmkvL6/KySYHoJBIADRqRge2dfahkMjOROlpdM9+CGB+fGKojfRws1Cbl2PvAE0QHextO9jbFjja29nZMYIQr2eiCwoEBL4KuZdY7C4Wq1X/vePH/IftwM++6d/lrbHtkl97c2SHhs4SQ+bDs1vWbrjfeN4/441PxSRJ8U9vX7zVNjx07IevrRo4d8BraXMj27irr/z82ZfnPZd800L07An+eVDm1qmDHNLe7eeZc/bHz1fENvng16FOBOlYvBCzezULCGtE7Pp96aYWU8Popxe3fPvdn5m8OO7u45zwEMf/hi3pXbw0/ASPwVglNDTUmE0OIZSenm6xTm1y8MHBwSNGjKj0ffAKqQ0AqJm6/BeFvHcbRGKycZOD2blRKvXfDf1fEu/+IhKSbCyz8adIACguRRKmEDro9e0XfNZ8tXLzTwt+TyvgJE6+YZ3GrD254LU2xl+rolZDR4ccWjWw64NfH/09ccXRXc7vL1o3O/ILcApsPWTlP19MbWJ5Dkfc7ZN13R+uXvb6b9k2ARE9Pt+39P22NgBAKHsWK8T8Xps3rE+e9cUHg/8U3Jt0GfvRsVNPZg76YPaoFc1uLG7x312sScNgMNYYO3bspEmTAO+Dt47CRgIA6grERn35IWPukY1DQSz+OvFBhK2ilz1+Gq4zSPx6v7uu97vFlJLuw368OezHwkO//p9t6//ZC7VEXb5P+G97IdX4wyvqDwEAxn9kQaSoGCFF7jX2f8fG/s+s9J/kmc8+9fgxRVuiNHH3tUn1ascjBlP5vKSPcdXJsyf4MiYhrUWgvFwiI50IbXo0J+98fsGnvt44UBgGg8HUebCDBxsbG5EgqOqugxfiHgMAGdBwccLTFgr5QKfyp2jDYDAYTG0BT9EDiMRynldzJVespaD4x8jB6ZQA/+YX/N2kMX58x2AwmPoAfoIHIAi5wGk5C9t46gZC3GPk5784MSlULhvq7FTT6mAwGAymOqhNT/CokEoXqxB4Ff8sG4rppPmh6e7mh8VpVcqi4uQXKSqrkCJXIVUBysq80L7b6bz8v0KCCUBCFZv24mEVmVbKq2rkW7N+63KYhsFgqocaHOalv7W5ECt/JWqTgxcEQa/XV2IOUJZlBUHQaDRyQSjgOY7jtNpny3sRQhzHme5lrGnaec/zvKnImJfXlADdvEgQBIQQz/MvFhnlm74YlmURQib55rfmOI7neUNhvLkitzZWsHhro2lk9D0KYAktDaahv8xGo9EUMY3juOJM4ziuHKYZbSlyWJxpVlrVimkIIUEQXhRo3bQiRRzHWWxVK6YJhZiEaLVaK/JN2ZrL9K29aJrpDAaDqWoEQTDm2jAeVtswBwDjXx6Lf8GMAk0eyvwvGM/zxfn42uTgExISrly5sn//fgBwc3Mrbudf6VGr1SzLKhQKBYAOgKZpuVxubE1BELRarSnxqEajkUqlVGEAtYKCAlORXq8nSdI8I4up6MWMLKYinuf1er1cLjdpYgrYjhBSq9WmmlqtViQSiQpDzpkLYRgGzDaLmxexLMuyrEwm41KSHnh4n9Iz6xsFGbPIlN40nU5XJNlMaUzTaDQMw5gOrZsmFovpwnzwpTeN4zgbGxuLrarT6UppmimbculNM44omUxmPFSpVHKzTLilNE2v1xMEUSbTyJc1aAEGU/cw/tGr/mEOL/gF879gDMOwLGvyUDqd7sCBA1FRUUatkpOTLdpSmxx8Zmbm6dOnjQ+Uvr6+c+bMqaxgdrYA6jo6FyrEPdrZuLmUJIfjt+8YDAZTVzh//rzxcRcAfH19LdapTU8Gbdu23bJlS2xsbGxs7KlTpyrLuwOAHJAa6uDqcqRRo8yMnbYOve1t7Wgcvx2DwWDqCMuWLTN6w4cPHzZt2tRindrk4KsOBUFU2ov9lwkU9/ihTHFXgKFK+5rWBYPBYDDVCnbwAAAKklQTdbAphLjHOxsES0myD45Ni8FgMPWMOujVyoGCotRkHZzBFuIe/+3pO8DJwZbCXzQGg8HUL/DffQAAOU1q6pyDJ3S6GLXmHi2OdHGuaV0wGAwGU91gBw8AoKBoDUkKdWwdfULcDg9vGUkMwMHnMRgMpv6BHTwAgEJEI4LQGepUxlgiIf5vrwYDnJwUVF2bnMBgqg9m9zh7/5l/ruim6PDdYxxxCFObqE374KsOhUgEjEGt17nVtCaVyL209OgQr89d8fZ3DKYCiLt+cWK3yN9de7qvgw9+IsLUJnB/BQBQiMUAoGUMNa1I5aHX7RZLZQT0d8Tz8xjMC+hPvuNLiyMW3+MBgL+3pJXzyK25ppd0QtLank59f0lFfOqZlfOnTuwT5h3YMXLyjC92xGgtimPu7919+78izf3N73Rr5O3h16T79D+i9VZOgubO+uk9m/m5ezbuu/CfVAEAwHDybW+RSGpjROHk337Sj9fVFTKXu/Jh0y4r4/AERD0DO3gAALlEAgBqpu5M0aMncX+7eQ+yVcjx/DwG8wL6czsO2baNSN2zO4YHoBoPHxFw5u8jeYWZPDL+2X+z1fD+on9mdh+1RTxpw5WkvMzoA580i3q3e+S6xy+kltZG/zr/7Z+vqJ9dzlz6ctRHaRMOPE65vyMy6ZM31zzkizkJmtMLR68QZh58mHJ/ffjRaR8dfhaQgwr76LJKp9PpdLq86PWv3Ptw+proF/Jd4hwFmBLADh4AwFYiBQBNHXoHf+fp0xiFXaS3V00rgsG8hOjO7vjHY9Lqhf3Sn3n44OEjAs/sOpqPAABQ9tH9US2H90lfvWBP2KqDP0xu52cvkbk1GfTprq3jn3zxxcH8/yQJCRvHhfi3mXck2/T4z8UcPqIbMmtSQykhD3393cFp+w8lChZPgu707zvd3/p4kI+EVHZYdOziV69IXtCVdn1lRE+P5CdJJgfPXf+4RfsJb3by93Rz8uv1+a4dC/s18/d0Dxnx410DAKCME18MbRnk4+Xh1bjnBwdSivwK4FKOLRrSwt/DzSci8tt/s+vY0mLMc+B38AAAtlIpAGgK06bVAXZrdAqp0M/JsaYVwdQMKCdbePSgprWoWsiQJoRduUI0as/uPOY3+kTzHtG93/l0d8yCJk2ooOEjglbsOpY/OlKJ8o7tu9xi2Grm5JiUbu8PdjMLYi1rM26409Aj1wxDejxLwUT6Td4SPZnZP8l3rakWz3Mmt0mQpBD/KJ4DpYWTgvDgMaH0XD++044bBc7tXvvquzmeLyjLZV7ce4Z5ZV5zkdlJ9s5956O3U1s+XfJKy9d+/Pri5TifCzNbTd9w7Y3lbR/9umCD7YIL8SPd8g+91f6L31/rt6Cx6UIh/ufJb5zvvff2njD14Vm9JsxrdGvjEGUdjNONAahdDl6n06WkpCiVSgBwdHQ0fqgUFEYHb6grDp7jjkpsuhFIhuPb1FdQUiK3a2tNa1G1iKbOLJ+D157ZcSJo9Kd+lNxtZJ/0T4wePnD4iIbL/z6eHzmSOLnvYtNhq9xyvs918HATP3cp5e7llnc/kwUQFyMcgA7t39dmzMpfp4RNcH/089dbEzX9dUB3sHAS6TSajCP/5G3bfu5H4cT8IaNn+97YPMIZAPi7X3dwWE4CAMdoWJcRv18a6WruhemQYePb2hOUtEWoQ/uOE0JsCGjRsiFzUY2Aajjz8A3aQUnqszLyWVAXqMwe0oXUw7se9Hl/fwtbAmz7zJvs3fPIdXZI9+KNwby06PX6p0+fAoAgCEwx75drk4O/cuXK+++/r1KpAMDR0TErK6uy8s0obGwAQM298G6tdpKd+OS6rcNyB0VNK4KpMchm4ZJm4TWtxcuJ5vTOg08v7Gnt9QUAr83JCzR6eP9hI4K/+/t4fh/RvvOhw5d50joXh7xb6SyA2aMzn5GWae/iLCpeOgBI23/61+cfvDup7XIqeOCQ/iHRMpnlk4TURirr9c5nAwOVAEPff+27jnsvGkYMIgCosAUXri5qTgMI2id7ZvaZ+9XJET/2lJpuQUikEgAAgiBIG5kNAYBMfw3ZhP0fzvr2aCLlHhxIGJC7uWpCemp67v7Z7cKfiSI8+uA5+lrKmDFjDh06BAAEQbRv395indrk4ENDQxctWuTj4wMA3t7elZlNTiwhENIIdcTBn0h8yhPi7t4+Na0IBvPyoT6142ij7+6dnOVHAoB636SGXxg9fINhIxst+3vfQZuzjYYt9iQpoWcPt5Vb9mUMGWN6eNZF/fV3ZtfFbaw/8SKG9xi+8thrEgBQ752042xIIG3xJOkU6C87/+wqgiQpkiKL/lUjZQ0Gjug4Y8XDbKGnVylm5ITkP+Z9lDji5N13GsmEuJXdhmY8J83RydEt8ovL33cRA4A26fYjFIQf32sn33333eTJkwFAEIQDBw5YrFObpnBdXFy6du0aGRkZGRlZ3A+W8kESIEOChnthmWrt5Jha48sygTKbmlYEg3npUJ/ccdSrbx/vZ3/6FJ0HdHqye3cMD0D6Dh0ZcvzThUcDhw70IgHoFrO+HnhrzqA5W66najgmO+bQkpGjN3l/8vGAElI38XeXdW/zzv40Xsi/+v3Ks+Hjh3iTlk/KOg/pfH3N8vM5PJd2bNXGJ936t7U0OSAW06rnZtqtYdAztLOXqw3wmf/+tuO2juXMLiR9evd33rv0p1sqQcg9/+Xwoavv4pX4tZSgoCCjNxw5cqSDg+Xt0LXJwVcpcp7T1I1NJwidoCU9CTzxhsFY4MSOo859+gWado/adxvQLvaZh/ceMqJpemrQ0EFG90+4DFh78s8R+evGNHO3dwsb/OXtVitO7pgWXNK8J93y/V+m5X7c2tuvzYwb3X/55TUfspiThNPI5T90iXo7wse3/UeZk7auHulsYV6S8vBxfXTsREKp/j6RDcZ/PCH5g/DGzduP3+o5aji5acZXV/+bm6RC52xe3nj/6FBv34gZD4Zt+KYvfpNXh6lNU/RVikIQ6oaDf5ySHC+VLbaVllwVg6l/DNmUOsT8mHCdfCBvsvEz6fP2Ce3b5qW0V4/3N/Z4vyShkkF/pA8yk2nfbt7ft+Y9X8fiSSC9Bn5zaOA3z50Td1+bcMPsmGry0bWcj8yUilh889yzqgM2pAwwinecvD9hMgCAS68lJx4sKaz8zhzj/9/cOfNM18CRK46NXFGSSZi6AH6Cf4YCIXWdyDZzNDHx/+3dZ3gU1RoA4DMzW5LNpveeEEjohCIQupLQkRIgNEG6VEVFRS9FRK4igheUJlUUhYQizVCCgEAMUqRDCCWFVEjZvtPO/bHJuiSTmL7s5nt/8GRnhtP2zHw77RwS415BQeYuCAAAAHOCAF9MjrAaW0OAT1Cow7Vqd4d/uU0IAADAukGALyZHSI0sfrgHDuMzIjHcgAcAAAABvpicQKrae+/OXC7nPsunxFEwwQwAADR4EOCLyUnSCgL8ybQ0W47rEhJs7oIAAAAwMwjwxexIUk1YfGucVCq7KfJlru7mLggAAAAzs/iQVlvsKUpl4TOrang+iRBFEjyy/EsRAAAAaggCfDGZiNKQFLLkV+HPFyr0BNGnnCGNAAAANCgQ4IvJRSKlSIxo2twFqb7fc3LcaV2rYLgBDwAAAAJ8CXuRmCUInVZr7oJU3+8abe/8PMrHz9wFAQAAYH4Q4IvJJWKEkFJvqQE+m6bvEVQk5pAIhh8GAAAAAb6EXCJBCKl1enMXpJrOFRRhhHo5O5m7IABYF/2BsY7Bc39a/aq8y6oUC35GBzRAcLZXTG5jgxBSaXXmLkg1XcjN8dFpgwMCzF0QAKyLpNeyhAPiYC/NmX7O/nBGBCwJ9NdidhIpQkilt9QA/0dBUfeCPCKokbkLAoAl0J2eHSCStFt+m0MIcbc/7+A24pcC4xDPfMb6SNd+32dhLuvsmgXT3+jb0i+k68g35yyLvacpndDdH97qEeLh6u7XvP+CA48MT+ny2ScWv94mwMMn7NXZPz8ofnJXaCH/8OuuUqKYKGDuGQYhRJ+e5ScW29gayF2DIyZsuKqqUXXZSx+16rnmUaUuQKgv/OfNVbfZf9+w8vTnV076318sLjg8f+rWJ+WVoiqFFPrv15d26PbVA66yW1YzG4vysgV4nHfmu83nFfU/lrq9jRQhpLTMp+hVHHeTx51ZmpDZmbssAFgA3fnYY/ad2mUdPHCPQ4hqOjy60dl9xwuLDzw4N/7w3x2GDxDHz31t1G7JhO2XMgrz7h5Z1PrKe6+N3JRiEvv4lPXTP3gwcM/93Oy/N7U9N2PmtnQe4cJDH0w72GjVlYz7P/e9/f7srak8El6I2LRH2VHfZ2p1Op1Op0lZ01NsSJdq+UmSUqvVarXawrvbut/+aOa3d8tELr4u3url7m34b+bgqc1r9eIum3HptyvZHOE8YFrIgeVHimCyjHrycgV4LvPEz7/ezFZX4jdYbZPbyhBCqtQnyALnlEssUrCI6Oxgb+6CAGARtOdi470nrPu4f05xhA8dHh1ydv8JQ+TBz08cvtJ+eN+cdQsPtvzm6Hdvdg50lMo8WwxevP+XcU+WLTtaZExIfemPO12mzOzgTFFuXaePaXoj6SaLdH8cOBE4+e3e7hL7djNndb1+ID4HCy/EyidpRFCIm41UKpVKJRKRwBBVIo/u0ZHeT59kGA+L7NX/hEeMn9Yt2MfTNTDq0/2xH/dvHezj1Sx6wy0aIYRzE5YNbd/Y39fbt2nkh0cyS/0KYDNPLh0SHuzt6d9u5Mo/npc63NGJ3+/3ju7nRJTdkkvbMijk9W3pPELK0/NadFh8WVdOXpq7P7zVI8zfN6hl1Lw9Kdr7Gyb8JyH/6Du9F53lm456Le37PaXLVPYLur97zqtN/bz8QrtO2fy34YxPMC+cn7gqpp2/p09Y92k77pZcgBWqo/CWVu5lugfPph7dl9t1cLMTjBkyl4tECCFF1lPu/Bmq+6tmKEENnM/KcmCZZn7wghwolq7X/6lQmrsUdauno6OHRFyd/6k5F3cyMCahTe+7fWYvPnBvYYsWVOPh0Y1X7z9ZFDPSCReePJQUPmyd/vTozFc/eN3TJOjKOo4d7jr0+GV6SG8JQgghu6Fbbg+QOyCEEC78+2paQLNgis968IgKHeNLIoSQXWhT77QHT1jeU2Ahck97lKY9/58O/smZyLfb1FXrF0V6lz7pYvMSfz2r7/5uG9OqMjfvuJ24kdU+/fPu7Sdt+G9i0iP/i3M7zNx+eerXnR5sWbjdfuHFxyM8i469FbFs56T+C5sa/yP/ePObUy/0+fXGwZaq3+ZFjX837PqOIU7GKrI3jp3x7P6JTHjLLStn7By2+Ej/eX8vPBO16kIHG+7O6rJ5cUnLRn6mWnTq4SiXG8v6DPnk8O1fflieEHJsYsJnPcWI7dEha0VCwbQJruWPt8le+3L0h0+mHU+eGZK9+83IUUua3VjTXXxXoF7ahP+M3yRZfiZ1pMu15QP77OY7lFdHkdCWVs/sAZ5LO/NjfDLXKHJM8NVf1ZHTWyk2nyg0QznsRZSYINLDWrC/HSICgpB/oBkKUV0Xnhd0KnxOtm5u7oKAl0VikTLmzn1zl6JunQ5v6SFxrMZ/1JyNTWgcsziQsvMc0TdnkSHChwyPbvL1vlNFI0cQpw8lthr2jWf+2gJnb0/JC/+V8vL1LLyTxyBkWE7KXL1kCGHV3b3/mfL+9aHb1jSl8G2NTmYvN8QvQu5gp83TYKwRWIiw3i6469AZXy/s55Hz69x+E+Y1ubZ3rCdCiLv13y7OX5MIIVavZtyjd/45wsM0IIqaDRvXyZGgbMKbO0d0Hd/MlkDh7ZvoE1UYUU3m/nZN5OxE6p7lFjFIpVCanKTzWb/tv9/3g8Ph9gSy7/vum36Rx68yQ14rqSQuuH6DDh3iQAhviYfM/Wp4l/GR4ySdvvyjpz1CSCAv9vrBo1TMzuhACYHaz9v4fRL1QiQXNWnuf+fyHXZC93J/m3EPfjumGLpyanMZgRrFvD/mywlHbrDdOwrkRV/Y86vH1N9HhdhQKGL+/AHfrS6vjv0ZgS2tX10HeCY96TIXHhEkNXzEBdd2f7c94X6RNCBizOypPXxEVECvidN7IYSLLiexGUfWfZP/4AGz82TTuX0C63VkeDFBDHV2XC8Wv+3lS+zeIZq7oD5zrwkW4ySOf5+lsY2NucsCXhZD3Vzzu3Uydynqln01J49Qn4k7mn7x4Cu+yxDiNPmFIYYIHzwsOnTVvlNFfcWHLjQf/pWPSOvuXHg9h0HIJBJxudl5ju5uprGJzz27csrUddk9Fh84M72DM4F4mcxGm6o2hFWsUmpsZLYEIbQQiTt/dHCvIZmAwQsmfRlx7E967BACIarlwot/LW0jQojXPDk4t+/8FaejN0T+s4MTUhspQggRBEHaymwJhDBRMgUFk3r4o3krT6RRXqEhBI29TOvO52TlFBx+u3Pb4qQI776m1+j5gueFckd7otwtbV+ZPNbtm+86ftfHcAIukBeXm/3MK8KXQgghwrnNgH4IIbVJHjYO9urn+RVdo+ef5xV6+vsYvl3KJ8CrIOkZjxBbNi/6+TONb6SfYUu7wGBPqrySC25p/eo2wOvTT2zf8Ffn/3UOkhIIIaxO2vHtn55z13wU9uzgZ59tPNn00/4lP0sJxw5j3u2AEJO0dlXhG1El0V2j0cTHxxv+vnnzZkpKSmJiYgU59unTx9/fv5LF4zgOY6zTFd+Oec/DbV9+yq7IgVP3bKf3/cwNHWVcxbKsXq8nyeKrZzzPG1cxDEMQhPFxF9NVLMtikzv6pqt4nmdZ1viR4zi9Xm/YQzHGHMeVSoTjOMH0EUKXlSoVQUbY25mu4jjONBHD3+WlX17VWJblOK6qVTOsqmTVjP8KVs2YRamqlWpJ078rXzXDxnX3rZVXNUOHqVLVqvEwlYQkJKTZr8+9lFS/x54IW3X79LxAEiGkOjShyTJDhA8aNiLsq32HjtqeCxu23Iek+Mjenmt2H8odMtp48qy98vO+vF7LO/5zWq9OXNx/woVB2y4v6u1d3N6kd5NG3JEHOXxffxJpH6VkB/YIFpFOAgtx7qX9F0WvDmnnQiBEUJRIIpWUvnBNyoIGRXedszr5OR/pW4lnpvinP7z7SVr06Vuzw2T8ozWvDs19ITUXVxfPkcuS1vaUIIQ0GTce4MYm1yhIJxdHdYoKl7clzj/65Q4+wvvQF9vn93grGAnlRTq7OD7LzuWRJ4Vw/sUdezR9ZkSYFIFWqmydnSqqCens5pj3NJtDoRRCXHZGrqOrCyFYL4mbuzwz7SmHmlAI0TlZz3nXckouOS+wZTktaKbdvGzWhiOYVquNi4ujaZphGKlUakyEIAjDwQ1jnJeXJ1iXOjsE4NyEr5fuuJSt5Fp3LlnG3P7zmkfUV20cRYTjgAHNfj1xtbBfP+cXO7S407yFi9DP3wAAHYJJREFUJh8VCsWKFSsMf7u5uV28eFGprOjO4uLFi+fOnVulkqpUxS+ghIioKHv5V4XK0VED5Yf3IR8/VdtXjJsxDCP4vypI0ECv15e3yjTNaqd/JjVdzPOtXN1Yli21ijZ5KcDYC2sx6wqqZvqxgvTpF19beHlatYL0K2jVOqpanTwt3VCpTsee8O33kV9xhJH3GNjtyUpDhA8YOqLZ8sUfS0PeW+JLIkSGz/vvoG5TBr/Db/hoSGsXXUrCxvdm7fJb9PtAh5LE8PNDq3f6LP1raW8vk+OYTffhfeZ9vuXqpKVtsndvvdBq2ApPAhFCCwufxM76/A/5ya8jXXJPfPNDRp9lEWKEyjyEJJGIlC9caa8IrdOL3Hw9bBGX98fW2BvaLixGqKR0pH+fAW79v9w4pd2cVmziZ8PfyPv0xpZ/zogI55YtqPgHKtTRSWjLbx4vX/j38G1nxpzuN/iTfcN/ihbKS9x2cB/FjG+OTNn0utPtTR8tvT536FsIYY6meYQQYlPuZzQNbyZCCBekXHkiCg0Pcij1o4YK7ddPNmz1ztkdpwXn7l+9Wx21tY0YZQvkJek0ODL9vRUHRm0a7nJr3ZpDBXzL8uootKUwjuNomq7/3dyo1BEsMTFx1qxZFRwECILo3Lmz8Dpcp+ik1eOXHC/kMcYY81kHPpy49gqDMcaYffjjvLe23mWrkNiOHTuuXLlSi6VTKpX5+fnGjwqFIrGwCP1+fndOLr33R93H7/JP0w2rVCqV4cTOoKioyPi3VqvV6/WCqww/vgRXGYKxaUkMlxMwxjzPKxQK4yq1Wk3TtGAiOp1Op9MNP/vHKwcPYa3GdBVN02q12rRqPG/4FjDHcUql0riqgqppNJpqVE2lUj1//rySVWMYpoKqCa6iaVqj0QiuYlm28lUrr1UrqBrDMKVatRpV02q1Va3axo0bDx48iEFtODjeq/Xiv//5bvic7QMd2312i8UYc2nfvWZr02tdKleylsk49eXEHk3c5DJHryadRy3ed0/JmyRGJ77f2PRaL+k7M0GPMebzz/93WLumTUJbR75/KKO4DwotZDOPLx3+SmiAj2/jLpPW/1XAY4yxPmFmQPiSf8rI3lre3vm1bx+WlIq58kmbriuTWYyx/sib3kN/VGCM+efbBwVMO67HfO6Jj18LDQxt/UrUW9+umRzq0W7pJYZJ+rBlj9UPOYyxLiV2fmSYn7dvUPiwFWfyTKuDMdaentt5Rryhk5faUnt5cYewGfGFPMbq8++1DJt9SiGYF+aLrq6f2CnEz9e/ae93D6ayGDNXPo/w9gn/8Hc9l7quX991TziMsW7/GAe/2af/2Q1NCqm+s2tmz1B/H7/Gnd/ccLWIx1i4Xph/dv7LEeH+Xj6hXaev+TCqu6FZhOpYZkvB7rFz587du3ebZTfHZeKC6RFMp9Pl5eUZD+OmRzCWZefOnStYnfoM8NyTX+ZP//62obxc5v4Fk9eb7Gf/rh4CPM/zr1672fzSVUan065eof/yU6zV4Jc7wHufOvNObCwu04cgwEOAB6CqmBvL+009VPTvG1YLm7xq8Bt7n5VEqUNLlydVJQbUPSsL8PV5l46QSiV0nq74MROtlpZIpeW/KVHWnTt39u3bZ2NjgxBq1KjRF198URelXBjo1+f67WNKVe/oscTW75i4n8XjJ9dFRrXioVaXRYm6OsD4NgCAWiBqOXeB87ztyQPeDq3959AUCZtv9V30juEBPe7B8dTwmP7wpEg17dix4+TJk4a/1Wq14Db1GuBdfLz4v7IKMXIjEJ2TVeDewrMqA+1otdrMzEzD36VuitSiKGenCAf7FWlPXwttJB4+mtm9g7twDoW3r6Psauji06cExt18YQh6AEBtIBxe+2JzN75OnjKXv/r591GS4qSpJkPnNKmLXBqI9PT0R48eGf52dnYW3KZeR7ITt4hom3P6xEMd5rLPnrwbGNHOqSpn8O3bt9+8efPly5cvX768f//+OismWhDgm6RQnlOqyDbtqE5d2KMHUHpq3WVXExfznjXWqr1CQsxdEACAtSAlkro59SPFgoP1gepYtGiRIRomJSU1a9ZMcJt6DfCEXcep70WkfvfuzDkrLvhPf7uvx8v5XQ9xdW1uJ/s6KxchJHo9mvDyEe3/BWuEr4GYVyLDdtFrELwBDwAA4EV1fIle3HH+ro4mnwl5sxEL14yoXmLp6ek3b9403HUICgqKiYmpjSIKIAn0gZ/Pm/dTrqnUbeV24rFv6teu5ON+Rm9OR8RL9Jskn2HviyTv2snMXRAAAAD16sKFC0lJSQghjHF2drbgNpb0gMOjR4/i4uIM78HXaYBHCI32cPvkcerq9Ke7moUSbu780FHE3h+5hHgqsn/dZVpVF9LTMEF09/Uxd0EAAADUq40bN+7ZswchRBBERESE4DYv12xyFevZs+eZM2cMT/8/fvy4TvMSE8R0D7c9uc/S9XqEEA5rTvbszZ6K5+/eqtN8qyQxJ9eN1oeFwIMqAADQsOzatcsQDRmGad9e+DFwSwrw9Wyyu6uUJL99mmX4SEb2J5uEMXt24efCgwLWvz/0dHedmoAb8AAAAMqAAF8uJ4qa5OWxMTNbwXIIIUSSojETCRtb5oetBGOOGW1flK8ouiqx7SWHN+ABAAAIsKR78KYD3fj4+HzzzTd1neN8f5/1mdnbs3OmOjsihAiZnXjCVHr9GurIfjRhqnkfuDvx93WOoCLDmv77pgAAAKzLpk2bzp07Z/i7vIFuLOkM3jAQaUEJjCs5+UL1BdvYDHFz+SYjky3Ji/DxEw2Loe7c5H4/Wde5V+xkXl4gQ4e4ljsnEgAAAGulUCiM0dA4MWYplnQG37p163HjxrVr164+M33Pz7frtRtHChWjbW0NS6j2HfXpaejEUcLFlTTTCHc4O/O0rX2UDO6+AwBAQ7RgwYKPP/4YIcRx3Pz58wW3saQAbxZdHO0jHOzXZOWM9vY0LmRfjRIrC5nY3WIXV+ThVf+lunf5rydyt94BMEJtQ5GZmXnq1ClzlwIAK5efn+/p6fnv21kICPD/7l1/35G37yUqVN2cHYsXEYR49ER601r2hy1o2hzk7FKvBeL5Ezk5lNytp7NTveYLzMTPz+/Bgwc3btygqOJhvHmeJ8l/7q+ZfjTcuiJKHhCp+ap6SB9jbJasDfODGVvVmqpWdkvC5JkhS2/VuqsaQRDe3t7IWlhSgFcqlcnJyYYvxsPDw9/fv37yHebmEiSVfpXx9J8AjxASi8UTpzHffk38uA1Nm40kkvopDEKIv3f7lL1TBxuJi9iSvj5QbQMHDtRoNFqt1rXkkQuVSmVra2s8hioUCgcHB8PfWq1WJBKJxeKyqwyT/9qUvFdpuoplWZqmZbLiURGVSqVcLjcc/nieV6vV9vb2hlUajUYikYhEorKJ6HQ6kiQlJfuC6SqapjmOsy25z2W6iuM4nU5nZ2dnrJpMJjMcbTHGSqWyklVDCEml0ipVTavVajQaY6uq1WqpVFqNqvE8L9iqFVdNpVKZtqpYLK5q1RiGYRimvG9No9HI5XJj1WxsbMrrMBRFVbVqLMvq9XrBqul0OpVK5ebmZqxaeR2m4qqxLGvaYezt7Q1V4zhOq9VWsmrldZiKq0bTNHrpFRQUpKeno5LvWnAbS4oQV69eNY5k5+joWFBQQNTLc+wUQczzcn8vNeOWWtPSZFxYwt5BPGEqvfF/OPYnNOktZPIDs07pr1w659v4bSu6jgQAAKBKJk6cGB8fjyocyc6SAnzr1q0jIiKCg4MRQj4+PvUT3Q0muLl8lZW7Kv3pjqYvDBtH+PrjEWOJX35g9/8iih5THy/OaTSJ2dkK/6ZRLnB9HgAAGqhNmzYlJycjhHie3717t+A2lhTgnZ2dW7VqVc9P0RvYkORsH89PUzM+DQoItJG+sC6sORoczf0aixydRFED6rok1K2/E5w97Emys4M9bwnXkQAAANQ6b2/vgIAAhBDHcUeOHBHcxpLegzevWd5edhT1dfrTsquIDp2oyH7cqXju4rm6LgZ541qCX9CrLk7il2leOwAAAC8bCPCV5SCiZvh4bc3OyRMap1YU2Z96JYI9vJ9Mvlt3ZcAZaYr8Z5dtZFHw/DwAAIAKQYCvgvl+PhijtRlZAusIQjQ8hgxtJjqwl79/p06yZxlm70+/B4VyCEGABwAAUDFLugdvOha9qZ49e86ePbseCuApEU/08lj3NHOGU8kbFaZIUjx+ErttI7Njs2hYDNVR+LHGamOPHcLPck927xPI4TCZbe0mDgAA4CV36tSp77//HiHEcRxBEMbX+ssbi96SArxhLHqtVltqueHFufrxQYDvlqyc7c+eLxI8hxZLmJgJstPH2X0/4+xM1HdQbeXLJ9/jLp4T9Rt8muWjXJxrK1kAAACWQqvVFhQUIIR4nicIwvgqmXEYgFIsKcCbZSz6UoJtbEZ5uK3Pff52cJCDSKhNSVI0PIZwcWXjD6OiQjRsFEI1HTEeq9Xs3h/JoEaPX+ny5K9rcH0eAAAaoMGDB7/++uvoxTF8KhiLHu7BV9niQH8lx427m8yXP5sd1StSNGIsunuL+Gk70utrmCM+sAezjGj0hLWZ2XKShDfgAQAA/CsI8FUWJrPdHOR37Hn+x49TK9iM6tCJeGMKykinN63FqurfRCCuXEL3bouHjkqzkW3Oypnj6eYssqTrLgAAAMwCAnx1DHJyXBYc+GVaxtasnIq2CwlFk2agwnxmw/9wQX41MuKvXyV/+5UI70CGt1/yJE1OkXM83KtZaAAAAA0JBPhq+jjQb6yn+5wHjy6phB9fNMA+fuKZ7yCWYb5bTeZmVykL7s/zzM87cZOmxNCR9zXan3LyPgrws6fgKwMAAPDvIFpUE4HQlrDGrexkMfcfZlQ4ZCzh7imeNR/JZKJdWyv/ijz3+0n2wF6qYwQ/chwSiT5+nOopEc/2tZ55DAEAANQpS7qbe+PGjR07dhimHfT399+2bZt5y2NLkgdaNnvlyt/h125N8PKY6+td3uvphKOT5K13tDs2Mds3UV26i/oPqWjqOYypU7+xf56nekWK+g2mtdrLKvWBvOcbQkNsSVJgFD0AAAANzOrVq0+dOmX42xpekxOJRPb29oaBbozzEJuXr1TyR8tmG3Jyt+fmrX+a1cfFabKzY7S9PVV2oHiZjBk32e7aX+yJo3zKAypmPHJyKb0NxvzdW2zCceppuqj/61SvSMPixakZIbY2k71hflgAAAAIISSVSp2di8dEsYaBbpo3bx4TE2Pe9+DL8pWIVwT6L2sU/FNu3rqMzJiHqd7pWWM93Sd4ujeViF/YlCCoXpFkkzDm5x/Y9WvITt34oGDC1Y1wcUUY4xvX6DMncVYm4R/Ijp4gDW9v+E/nlKpThUU/NQuF2WUAAAAYzJ49+5133kEVvgdvSQH+ZSajyGnentO8PY9nZu1Tqrdm5Xyd/rS1nWyCm+s0f1/TIXEIX3/J2wuYIwfRXxeZC2cMC8UiMcsyZHCIaMosokmYXqVCCD3S6nbn5m16mt3KTjYaHp4HAABQFRDga1mE3K6vj/faJo0OP8/fkZnzYVrGsqeZU7w85/p5uxo3EkvI16PpPgN5lrmTk3OroPCOUkm5uDq7uTtQlDw7N1ujOfjg8Z8KpQ1J9nNyWBTgR8LZOwAAgKqAAF8nbEhypLvbEEeHR1rt5rz8rdk5a59mRTnY+8tsC1muiGMVDJtF02l62jAanqetg1jPKtIyFCyHEKIIorez4/amTYa5uYppvWE8QgAAAKDyIMDXrSCpdHXj4KVBAduzc7Y9zcrmOHuKchBRgTbS9jLb1o4Oze1kLexkYp1OJpMZpgYqYBhao/F0dDSkoKnoFTwAAABAGAT4+uAgot7285nkIHcomWaW4zidTmd8F0BlsrGTSKSq4CU6AAAAoBIgkAAAAABWiMC4/DnRXjJbt24NDQ1t3bp1bSXIcRzGWFQydwvHcabDBZh+rGAVz/MIIbLknLuSqyqfPsdxBEFUNX2MMc/zlUyfJEnjvMKVzBpjjDEWXMVxHM/zxucGKk6/vFUVpF9qFcuyxm+wbK3LS7/UbMrVzpqiqKqmX/G3Vl7VKm5V0y1rJetSqziOq2T61cu6vL5aK1lXkD7P8zzPmzZyNTpMbe2GlrWbV7Cv8TzPcVxljgDV29eseDcvtco0fYwxy7LGVjVdxXHckiVL1q1bh8qwpEv0WVlZd+/evXjxIkLI19d3/PjxNUxQpVIxDONYcrdbqVTK5XJjH9VoNHK53LBKrVbb2NgYvyGFQmG82K7T6UiSlEgkZVfRNM3zvGFknlKrSl+iV6mM9+AxxiqVyt7e3rBKo9GIxWLj92qaiF6vRwhJpdKyqxiGYRhGJpPVpGparZaiqKpWTa1W6/V6Y6tWXDWJRGLs3JWvGsuytra2gq2q1WorWTXjbMqVrxrLsjRNm7aqnZ1dVaum0+kIgqhq1TQajVarNW1VW1vbqlZNr9djjCtZNdMOo1arK1m1CvYFjuPK+9Yq2BeUSmUlq4bK6TAVVE2r1Wo0GmOrqtVqqVRajao1wN2cZVm9Xi9YNZ1Op1KpjK1aW7u5vb29MZ5Z625eqsOYVk2v1xv2BWPXPX/+/NWrVw2lyskRnvbMkgJ8Wlra0aNHtVotQsjb23vcuHHGn04AAABAw7Fr164jR44ghAiCaNGiheA2lnQPvmvXrocPH87Pz8/Pz799+zZEdwAAAA3T1q1bDdEwNzc3PDxccBtLCvAAAAAAqCQI8AAAAIAVggAPAAAAWCEI8AAAAIAVggAPAAAAWCEI8AAAAIAVggAPAAAAWCEI8AAAAIAVggAPAAAAWCEI8AAAAIAVsqSx6BFCd+/eZVm2tlLTarUcxxknLdBoNLa2tsape3Q6nXE+AJ1OJ5FIjJP8aDQa41QENE2TJGmcb8B0FcuyPM8bZ3EwXcXzPE3TxqkOtFqtjY2NMWutVmvcUq/XUxQlmD7DMAgh41QKpbLmOM441UH1qlZB1hVUTafTMQxjnI+h4qqJRCLjLBHVrpppq+r1+rqrGsdxLMuW16qVrBpN0wRBVLVqer1er9ebzqIhlUqrWjWGYTDGdVq1CvaFCr61Ot0XKqhaqVbV6XRisbgaVWuAuznHcQzDCFaNpmnTiZFqazc3Vs2Kd/NSHca0agzDaDQa42QzplXjOA6Vw5Kmi71169aVK1dqMcGUlJSioqL27dsbPlZyMkRUZnZOZDItYCVXVX7Gw+plXb15Hmulao8fP87Ly+vYsWPZ9GslazNWrYL066JqpqtSU1MzMzMjIiIqk77pFJYvSdVqZV+oraoZ/87IyEhNTe3atavlVu0l3BcyMzMfPnzYrVs34+RvsJtXcjevIP2cnJzk5OSIiAjDxqU6jJeXV9++fVEZlhTga93KlSsvXboUFxdn7oJYlXXr1sXHxx89etTcBbEqmzdv3rNnT0JCgrkLYlV27dq1YcMGwwzUoLbExcV98cUXly5dMsYwUHNHjx5dsmTJ2bNnjZPJVgZ8AQAAAIAVggAPAAAAWKEGfYm+sLBQr9d7enqauyBWRaFQaDQaLy8vcxfEqigUCrVa7e3tbe6CWBWVSqVQKHx8fMxdEKuiVqsLCwt9fX3NXRCrotFoCgoKvL29q3Tjo0EHeAAAAMBawSV6AAAAwApZ2HvwtQcXXNv93faE+0XSgIgxs6f28GmwLVFTdPrpLet/SUzTiJwa9xj/1hsRXiKEsw9+OGvbPcOIBaTbwM++n9GKMnM5LYpwA0KnrQn+6b4P5uxM/ueVYVGrGZuXD3TNgb5aA0x60mUuPCKo+KVuwS4K/baqSrVqDY6xuEHiVYmrJ8/ZfK2Q0aTELpy46FgOb+4iWSg+88CHb3wS90DJcUW3dr43fvGxPB5j5saGaZ8ez9fTNE3TDMNC61aRUANCp60hnmMZ2kBfkPTt/M9PQV+tIV3akU8nLjleWNxogl0U+m1VlW7VGhxjG+gleub2n9c8ol5v4yiyDRkwoNnjxKuF8ChCteiS76Q3i+rfWE6SDs379fB7kvyEQ1ibk4c8vR0kYrFYLBaJKMLcxbQwgg0InbaGCJISicVisViMHx+Ky+s9+VU3AvpqdeHchFWzpr639aryn2WCXRT6bRUItWpNjrEN81oJzs/MJn16uBIIIST18XPJy8zhkTNcmKs6m85zv+1gI0MIIax69DDP3d+TRHxeTh59Z9f8yZn5yLV51OSZo9s4w3GzCoQaEEGnrSU499Tuv5uP+cKLRMJNDX21EgiP3u+v781cWjP5WMkiweMqdoJ+W3kCrVqjY2zDPIPHej0ttbUxtAdhK5PSej38qKwWQmrvbCdGWJf+x5bPNj/uNL6vH4kQI/Vs1jlm8aZd278c43h+9eZz8Ju9agQaEDptLdHfOnhC1G9QWPEo5NBXa41gF4V+W1M1OcY2zABPSKUSWqczNAjWammJVAq/2qsLF92KW/72ogPa1z5eMTXcnkCIChvxyYdj2ruJCbF7x2G9PW5cuV9rMwQ1CEINCJ22VmBl0rHLfr27uRW3HfTV2iPYRaHf1oJqH2MbaIB38fHis7IMP3nonKwCdx/PhtkSNae799PSNddCZq35al6/xnICIYRwUfLFPx8qDbs0QZKUSCSCXboKBBsQOm1twEVJ5x407RYuM36GvlprBLso9Nsaq8ExtoG2tLhFRNuc0yce6jCXffbk3cCIdk6wV1cHVl769bTLmPfHtDG9qUbmXtjwv19uFPGIK7h26PdnbTs3hVtuVSHYgNBpa4Hm5uX7gW1a2BoXQF+tRYJdFPptzdToGNtgR7LDqrv71m0+naoTuXcc/87Ejq4N9KdODXH3t8/68EAWX/KZcO3/2fczW5MF1/Zs/PFcynOdyKPt0OlT+jW2g326KnjBBoROW1PM9fVv7XBd/HVMoLHphJsaVA5zac3kYy2+XdLH0dBogl0U+m0VvdCqNTrGNtgADwAAAFgz+CkFAAAAWCEI8AAAAIAVggAPAAAAWCEI8AAAAIAVggAPAAAAWCEI8AAAAIAVggAPACiNf7Smmw1JuY07oDBZqv4lWt74/YsMQpz6WVaeiiv3/wMAXgIQ4AEApXAP9+29LHGQF8XHniwSWM8/3TaiydBNT3iBdQCAlwUEeADAi7gH+2KvuUR/9m4Hdfze4zWeXQ3rtToYTguA+gcBHgDwAu5u3N7rLgNj3hw5uKX6RGx8qQjPp3zVpfG8s+qL7zeWDdj+HCP+2YX/TYkMD3Kxd/JvN+Sj2PtahBDSx41y6Ljij98W928aODZW6DoAAKBuQYAHAJhib8XF3nYdGN3DPnTgoKbqk7G/5b8Q4cnGCy6mrO1p12VViubYJFfu9uqhA7980nHBzoTzxzdMlB+aFDl9fy5GCCE+48ePvtOO33Fu43BH89QFgAYNAjwAwAR7IzbunuvA6B4yJGoxaGBjzam9vz0v/wo7fWHjupvdVvz8+biebdt0GvT21m8nkge2HM7DCCHumXzQqi/GRYR6wvwtAJgBBHgAwD+Ya7H7ku06v+KX9fDhw1R5q1c81Kf3HntWXoTHBcnJOcrfpvpKxAb2fTem09lZuTxCiHRs3bYRTL4KgLmIzF0AAMDLg7m8d98DpuDejFYHjMuIor1Hct+Y5Cl0Fk5IbWwo/9nHU9b2FL+4Rn8PEXZyOHUHwHzgDB4AUIJO2rv/iesbvxbhEvSlj8J0Z2KP5JRzDi9v067Js4vnk1nDR/z80Du9hq65ztZfmQEA5YAADwAopr+490C6V/TEKAfjInHbMaNb0GdjD2eZRngCIVyYlZ6n1FEtJ87p+eSrN2ZtjL9868qRLybO3lLYqltTuDQIgPlBgAcAGOjO7z2YFTx6Qndbk4WiFjGj27Ln9h7K/GdYG9Kz26CIog19mkyMKyCCpvx45LM2d1aO7d4xclacdNIvBxe/Iq3/wgMASiMwhiEoAAAAAGsDZ/AAAACAFYIADwAAAFghCPAAAACAFYIADwAAAFghCPAAAACAFYIADwAAAFghCPAAAACAFYIADwAAAFghCPAAAACAFYIADwAAAFih/wPtz4zbDCqwVgAAAABJRU5ErkJggg==" /><!-- --></p>
</div>
-<div id="obtaining-period-and-cohort-death-probabilities" class="section level2">
-<h2><span class="header-section-number">4.2</span> Obtaining period and cohort death probabilities</h2>
-<p>To obtain death probabilities from all the different types of tables, there are two functions:</p>
+<div id="obtaining-period-and-cohort-death-probabilities" class="section level2" number="4.2">
+<h2><span class="header-section-number">4.2</span> Obtaining period and
+cohort death probabilities</h2>
+<p>To obtain death probabilities from all the different types of tables,
+there are two functions:</p>
<ul>
-<li><code>deathProbabilities</code>: Returns the (cohort) death probabilities of the life table given the birth year</li>
-<li><code>periodDeathProbabilities</code>: Returns the (period) death probabilities of the life table for a given observation year</li>
+<li><code>deathProbabilities</code>: Returns the (cohort) death
+probabilities of the life table given the birth year</li>
+<li><code>periodDeathProbabilities</code>: Returns the (period) death
+probabilities of the life table for a given observation year</li>
</ul>
-<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Austria_Annuities"</span>)</span>
-<span id="cb8-2"><a href="#cb8-2"></a><span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977:</span></span>
-<span id="cb8-3"><a href="#cb8-3"></a>qx.coh1977 =<span class="st"> </span><span class="kw">deathProbabilities</span>(AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>)</span>
-<span id="cb8-4"><a href="#cb8-4"></a></span>
-<span id="cb8-5"><a href="#cb8-5"></a><span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span></span>
-<span id="cb8-6"><a href="#cb8-6"></a>qx.per2020 =<span class="st"> </span><span class="kw">periodDeathProbabilities</span>(AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>)</span></code></pre></div>
-<p>These functions return the death probabilities as a simple, numeric R vector.</p>
-<p>There are two similar functions that return the death probabilities as a period life table object that can be used with all other functions provided by this package:</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" tabindex="-1"></a><span class="fu">mortalityTables.load</span>(<span class="st">"Austria_Annuities"</span>)</span>
+<span id="cb8-2"><a href="#cb8-2" tabindex="-1"></a><span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977:</span></span>
+<span id="cb8-3"><a href="#cb8-3" tabindex="-1"></a>qx.coh1977 <span class="ot">=</span> <span class="fu">deathProbabilities</span>(AVOe2005R.male, <span class="at">YOB =</span> <span class="dv">1977</span>)</span>
+<span id="cb8-4"><a href="#cb8-4" tabindex="-1"></a></span>
+<span id="cb8-5"><a href="#cb8-5" tabindex="-1"></a><span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span></span>
+<span id="cb8-6"><a href="#cb8-6" tabindex="-1"></a>qx.per2020 <span class="ot">=</span> <span class="fu">periodDeathProbabilities</span>(AVOe2005R.male, <span class="at">Period =</span> <span class="dv">2020</span>)</span></code></pre></div>
+<p>These functions return the death probabilities as a simple, numeric R
+vector.</p>
+<p>There are two similar functions that return the death probabilities
+as a period life table object that can be used with all other functions
+provided by this package:</p>
<ul>
-<li><code>getCohortTable</code>: Get a <code>mortalityTable</code> object describing the death probabilities for people born in the given year</li>
-<li><code>getPeriodTable</code>: Get a <code>mortalityTable</code> object describing the death probabilities observed in the given year</li>
+<li><code>getCohortTable</code>: Get a <code>mortalityTable</code>
+object describing the death probabilities for people born in the given
+year</li>
+<li><code>getPeriodTable</code>: Get a <code>mortalityTable</code>
+object describing the death probabilities observed in the given
+year</li>
</ul>
-<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1"></a><span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977 as a mortalityTable.period object:</span></span>
-<span id="cb9-2"><a href="#cb9-2"></a>table.coh1977 =<span class="st"> </span><span class="kw">getCohortTable</span>(AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>)</span>
-<span id="cb9-3"><a href="#cb9-3"></a></span>
-<span id="cb9-4"><a href="#cb9-4"></a><span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span></span>
-<span id="cb9-5"><a href="#cb9-5"></a>table.per2020 =<span class="st"> </span><span class="kw">getPeriodTable</span>(AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>)</span>
-<span id="cb9-6"><a href="#cb9-6"></a></span>
-<span id="cb9-7"><a href="#cb9-7"></a><span class="co"># Compare those two in a plot:</span></span>
-<span id="cb9-8"><a href="#cb9-8"></a><span class="kw">plot</span>(table.coh1977, table.per2020, <span class="dt">title =</span> <span class="st">"Comparison of cohort 1977 with Period 2020"</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</span></code></pre></div>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" tabindex="-1"></a><span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977 as a mortalityTable.period object:</span></span>
+<span id="cb9-2"><a href="#cb9-2" tabindex="-1"></a>table.coh1977 <span class="ot">=</span> <span class="fu">getCohortTable</span>(AVOe2005R.male, <span class="at">YOB =</span> <span class="dv">1977</span>)</span>
+<span id="cb9-3"><a href="#cb9-3" tabindex="-1"></a></span>
+<span id="cb9-4"><a href="#cb9-4" tabindex="-1"></a><span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span></span>
+<span id="cb9-5"><a href="#cb9-5" tabindex="-1"></a>table.per2020 <span class="ot">=</span> <span class="fu">getPeriodTable</span>(AVOe2005R.male, <span class="at">Period =</span> <span class="dv">2020</span>)</span>
+<span id="cb9-6"><a href="#cb9-6" tabindex="-1"></a></span>
+<span id="cb9-7"><a href="#cb9-7" tabindex="-1"></a><span class="co"># Compare those two in a plot:</span></span>
+<span id="cb9-8"><a href="#cb9-8" tabindex="-1"></a><span class="fu">plot</span>(table.coh1977, table.per2020, <span class="at">title =</span> <span class="st">"Comparison of cohort 1977 with Period 2020"</span>, <span class="at">legend.position =</span> <span class="fu">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</span></code></pre></div>
<p><img 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" /><!-- --></p>
-<p>Not surprisingly, at 43 years the two death probabilities cross, because in 2020 the person born 1977 is 43 years old, so the <span class="math inline">\(q_x\)</span> refer to the same person. However, for younger ages, the period 2020 probabilities are lower, because the mortality improvement for those younger ages has much less time in the cohort 1977 table. For ages above 43 the cohort table describes the mortality further into the future than 2020, so there is more improvement and thus lower death probabilities for the cohort life table.</p>
+<p>Not surprisingly, at 43 years the two death probabilities cross,
+because in 2020 the person born 1977 is 43 years old, so the <span class="math inline">\(q_x\)</span> refer to the same person. However,
+for younger ages, the period 2020 probabilities are lower, because the
+mortality improvement for those younger ages has much less time in the
+cohort 1977 table. For ages above 43 the cohort table describes the
+mortality further into the future than 2020, so there is more
+improvement and thus lower death probabilities for the cohort life
+table.</p>
</div>
-<div id="other-data-extraction-functions-from-life-tables" class="section level2">
-<h2><span class="header-section-number">4.3</span> Other data extraction functions from life tables</h2>
+<div id="other-data-extraction-functions-from-life-tables" class="section level2" number="4.3">
+<h2><span class="header-section-number">4.3</span> Other data extraction
+functions from life tables</h2>
<table>
<colgroup>
-<col width="30%"></col>
-<col width="69%"></col>
+<col width="30%" />
+<col width="69%" />
</colgroup>
<thead>
<tr class="header">
@@ -552,11 +664,13 @@ code > span.er { color: #a61717; background-color: #e3d2d2; }
<tbody>
<tr class="odd">
<td align="left"><code>ages(table)</code></td>
-<td align="left">Returns the vector of ages, for which the life table can provide death probabilities</td>
+<td align="left">Returns the vector of ages, for which the life table
+can provide death probabilities</td>
</tr>
<tr class="even">
<td align="left"><code>getOmega(table)</code></td>
-<td align="left">Returns the maximum age, for which the life table can provide dath probabilities</td>
+<td align="left">Returns the maximum age, for which the life table can
+provide dath probabilities</td>
</tr>
<tr class="odd">
<td align="left"><code>ageShift(table, YOB)</code></td>
@@ -564,7 +678,8 @@ code > span.er { color: #a61717; background-color: #e3d2d2; }
</tr>
<tr class="even">
<td align="left"><code>baseTable(table)</code></td>
-<td align="left">Returns the base table, from which the table projects (for cohort tables)</td>
+<td align="left">Returns the base table, from which the table projects
+(for cohort tables)</td>
</tr>
<tr class="odd">
<td align="left"><code>baseYear(table)</code></td>
@@ -572,43 +687,55 @@ code > span.er { color: #a61717; background-color: #e3d2d2; }
</tr>
<tr class="even">
<td align="left"><code>lifetable(table, YOB)</code></td>
-<td align="left">Returns the cohort death probabilities as a <code>lifetable</code> object for use with the lifecontingencies package</td>
+<td align="left">Returns the cohort death probabilities as a
+<code>lifetable</code> object for use with the lifecontingencies
+package</td>
</tr>
</tbody>
</table>
</div>
-<div id="dimensional-information" class="section level2">
-<h2><span class="header-section-number">4.4</span> Dimensional information</h2>
-<p>Mortality tables are always created for special purposes, particular collectives, types of risk, sex, year, etc. So, each <code>MortalityTable</code> object provides for a list of such factors that describe the underlying target of the mortality table and that can be used e.g. when plotting mortality Tables (just like any other factor variable in a ggplot):</p>
-<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1"></a><span class="kw">plotMortalityTables</span>(</span>
-<span id="cb10-2"><a href="#cb10-2"></a> mort.AT.census[<span class="kw">c</span>(<span class="st">"m"</span>, <span class="st">"w"</span>), <span class="kw">c</span>(<span class="st">"1951"</span>, <span class="st">"1991"</span>, <span class="st">"2001"</span>, <span class="st">"2011"</span>)]) <span class="op">+</span><span class="st"> </span></span>
-<span id="cb10-3"><a href="#cb10-3"></a><span class="st"> </span><span class="kw">aes</span>(<span class="dt">color =</span> <span class="kw">as.factor</span>(year), <span class="dt">linetype =</span> sex) <span class="op">+</span><span class="st"> </span><span class="kw">labs</span>(<span class="dt">color =</span> <span class="st">"Period"</span>, <span class="dt">linetype =</span> <span class="st">"Sex"</span>)</span></code></pre></div>
-<p><img src="data:image/png;base64,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" /><!-- --></p>
-<p>The dimensional information is stored inside the <code>@data$dim</code> field of the MortalityTable:</p>
-<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1"></a>mort.AT.census.<span class="fl">2011.</span>male<span class="op">@</span>data<span class="op">$</span>dim</span>
-<span id="cb11-2"><a href="#cb11-2"></a><span class="co">#> $sex</span></span>
-<span id="cb11-3"><a href="#cb11-3"></a><span class="co">#> [1] "m"</span></span>
-<span id="cb11-4"><a href="#cb11-4"></a><span class="co">#> </span></span>
-<span id="cb11-5"><a href="#cb11-5"></a><span class="co">#> $collar</span></span>
-<span id="cb11-6"><a href="#cb11-6"></a><span class="co">#> [1] "Gesamtbevölkerung"</span></span>
-<span id="cb11-7"><a href="#cb11-7"></a><span class="co">#> </span></span>
-<span id="cb11-8"><a href="#cb11-8"></a><span class="co">#> $type</span></span>
-<span id="cb11-9"><a href="#cb11-9"></a><span class="co">#> [1] "Volkssterbetafel Österreich"</span></span>
-<span id="cb11-10"><a href="#cb11-10"></a><span class="co">#> </span></span>
-<span id="cb11-11"><a href="#cb11-11"></a><span class="co">#> $data</span></span>
-<span id="cb11-12"><a href="#cb11-12"></a><span class="co">#> [1] "official"</span></span>
-<span id="cb11-13"><a href="#cb11-13"></a><span class="co">#> </span></span>
-<span id="cb11-14"><a href="#cb11-14"></a><span class="co">#> $year</span></span>
-<span id="cb11-15"><a href="#cb11-15"></a><span class="co">#> [1] 2011</span></span>
-<span id="cb11-16"><a href="#cb11-16"></a><span class="co">#> </span></span>
-<span id="cb11-17"><a href="#cb11-17"></a><span class="co">#> $table</span></span>
-<span id="cb11-18"><a href="#cb11-18"></a><span class="co">#> [1] "ÖVSt 2010/12"</span></span></code></pre></div>
-<p>There are no hard and enforced rules for these names and the potential values of the dimensional information. There are, however, some conventions that are obeyed by most of the tables provided by this package:</p>
+<div id="dimensional-information" class="section level2" number="4.4">
+<h2><span class="header-section-number">4.4</span> Dimensional
+information</h2>
+<p>Mortality tables are always created for special purposes, particular
+collectives, types of risk, sex, year, etc. So, each
+<code>MortalityTable</code> object provides for a list of such factors
+that describe the underlying target of the mortality table and that can
+be used e.g. when plotting mortality Tables (just like any other factor
+variable in a ggplot):</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" tabindex="-1"></a><span class="fu">plotMortalityTables</span>(</span>
+<span id="cb10-2"><a href="#cb10-2" tabindex="-1"></a> mort.AT.census[<span class="fu">c</span>(<span class="st">"m"</span>, <span class="st">"w"</span>), <span class="fu">c</span>(<span class="st">"1951"</span>, <span class="st">"1991"</span>, <span class="st">"2001"</span>, <span class="st">"2011"</span>)]) <span class="sc">+</span> </span>
+<span id="cb10-3"><a href="#cb10-3" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(year), <span class="at">linetype =</span> sex) <span class="sc">+</span> <span class="fu">labs</span>(<span class="at">color =</span> <span class="st">"Period"</span>, <span class="at">linetype =</span> <span class="st">"Sex"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>The dimensional information is stored inside the
+<code>@data$dim</code> field of the MortalityTable:</p>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" tabindex="-1"></a>mort.AT.census.<span class="fl">2011.</span>male<span class="sc">@</span>data<span class="sc">$</span>dim</span>
+<span id="cb11-2"><a href="#cb11-2" tabindex="-1"></a><span class="co">#> $sex</span></span>
+<span id="cb11-3"><a href="#cb11-3" tabindex="-1"></a><span class="co">#> [1] "m"</span></span>
+<span id="cb11-4"><a href="#cb11-4" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb11-5"><a href="#cb11-5" tabindex="-1"></a><span class="co">#> $collar</span></span>
+<span id="cb11-6"><a href="#cb11-6" tabindex="-1"></a><span class="co">#> [1] "Gesamtbevölkerung"</span></span>
+<span id="cb11-7"><a href="#cb11-7" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb11-8"><a href="#cb11-8" tabindex="-1"></a><span class="co">#> $type</span></span>
+<span id="cb11-9"><a href="#cb11-9" tabindex="-1"></a><span class="co">#> [1] "Volkssterbetafel Österreich"</span></span>
+<span id="cb11-10"><a href="#cb11-10" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb11-11"><a href="#cb11-11" tabindex="-1"></a><span class="co">#> $data</span></span>
+<span id="cb11-12"><a href="#cb11-12" tabindex="-1"></a><span class="co">#> [1] "official"</span></span>
+<span id="cb11-13"><a href="#cb11-13" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb11-14"><a href="#cb11-14" tabindex="-1"></a><span class="co">#> $year</span></span>
+<span id="cb11-15"><a href="#cb11-15" tabindex="-1"></a><span class="co">#> [1] 2011</span></span>
+<span id="cb11-16"><a href="#cb11-16" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb11-17"><a href="#cb11-17" tabindex="-1"></a><span class="co">#> $table</span></span>
+<span id="cb11-18"><a href="#cb11-18" tabindex="-1"></a><span class="co">#> [1] "ÖVSt 2010/12"</span></span></code></pre></div>
+<p>There are no hard and enforced rules for these names and the
+potential values of the dimensional information. There are, however,
+some conventions that are obeyed by most of the tables provided by this
+package:</p>
<table>
<colgroup>
-<col width="18%"></col>
-<col width="47%"></col>
-<col width="34%"></col>
+<col width="18%" />
+<col width="47%" />
+<col width="34%" />
</colgroup>
<thead>
<tr class="header">
@@ -625,43 +752,57 @@ code > span.er { color: #a61717; background-color: #e3d2d2; }
</tr>
<tr class="even">
<td align="left"><code>collar</code></td>
-<td align="left">“Rententafel”, “Gruppenrententafel”, “Einzel”, “Gruppe”, “Gesamtbevölkerung”, “Raucher”, “Nichtraucher”, “Arbeiter”, “Angestellte”, “Mischtafel”</td>
+<td align="left">“Rententafel”, “Gruppenrententafel”, “Einzel”,
+“Gruppe”, “Gesamtbevölkerung”, “Raucher”, “Nichtraucher”, “Arbeiter”,
+“Angestellte”, “Mischtafel”</td>
<td align="left">Collective, to which the mortality table applies</td>
</tr>
<tr class="odd">
<td align="left"><code>type</code></td>
-<td align="left">“Rententafel”, “Volkssterbetafel”, “Pensionstafel”, “Bevölkerungsprognose”, “Beobachtung”, “Risikotafel”</td>
+<td align="left">“Rententafel”, “Volkssterbetafel”, “Pensionstafel”,
+“Bevölkerungsprognose”, “Beobachtung”, “Risikotafel”</td>
<td align="left">The type of table</td>
</tr>
<tr class="even">
<td align="left"><code>data</code></td>
-<td align="left">“official”, “raw”, “loaded”, “loaded, group”, “unloaded”, “age-shifted”, “geglättet”</td>
+<td align="left">“official”, “raw”, “loaded”, “loaded, group”,
+“unloaded”, “age-shifted”, “geglättet”</td>
<td align="left">The type of data</td>
</tr>
<tr class="odd">
<td align="left"><code>year</code></td>
-<td align="left">numeric year, “2014-2080”, “1980-2017”, “1947-2017”</td>
+<td align="left">numeric year, “2014-2080”, “1980-2017”,
+“1947-2017”</td>
<td align="left">The year (or range) described by the table</td>
</tr>
<tr class="even">
<td align="left"><code>tablename</code></td>
-<td align="left">“AVÖ 1996-R”, “AVÖ 2005-R”, “EROM 85”, “EROF 85”, “EROM G1950”, “EROF G1950”, “EROM G1950 AV”, “EROF G1950 AV”, “RR67”, “DAV 1994R”, “DAV 2004R”, “DAV 1994T”, “DAV 2008T”, “1971 IAM”, “1971 IAM projected”, “1983a”, “1983 GAM”, “1994 GAM”, “1994 GAR”, “2012 IAM”, “Annuity 2000”, “AVÖ 1999-P”, “AVÖ 2008-P”, “Ettl-Pagler 1989”, “DAV 2005-G”</td>
+<td align="left">“AVÖ 1996-R”, “AVÖ 2005-R”, “EROM 85”, “EROF 85”, “EROM
+G1950”, “EROF G1950”, “EROM G1950 AV”, “EROF G1950 AV”, “RR67”, “DAV
+1994R”, “DAV 2004R”, “DAV 1994T”, “DAV 2008T”, “1971 IAM”, “1971 IAM
+projected”, “1983a”, “1983 GAM”, “1994 GAM”, “1994 GAR”, “2012 IAM”,
+“Annuity 2000”, “AVÖ 1999-P”, “AVÖ 2008-P”, “Ettl-Pagler 1989”, “DAV
+2005-G”</td>
<td align="left">The formal name of the table</td>
</tr>
<tr class="odd">
<td align="left"><code>risk</code></td>
-<td align="left">“Tod”, “sonst. Ausscheiden”, “Invalidisierung”, “Partnerwahrscheinlichkeit im Tod”, “mittl. Hinterbliebenenalter”</td>
+<td align="left">“Tod”, “sonst. Ausscheiden”, “Invalidisierung”,
+“Partnerwahrscheinlichkeit im Tod”, “mittl. Hinterbliebenenalter”</td>
<td align="left">The type of risk described by the table</td>
</tr>
<tr class="even">
<td align="left"><code>probability</code></td>
-<td align="left">“qx”, “sx”, “ix”, “qgx”, “qix”, “qpx”, “hx”, “qwy”, “yx”</td>
-<td align="left">The probability described by the table (corresponds with “risk”)</td>
+<td align="left">“qx”, “sx”, “ix”, “qgx”, “qix”, “qpx”, “hx”, “qwy”,
+“yx”</td>
+<td align="left">The probability described by the table (corresponds
+with “risk”)</td>
</tr>
<tr class="odd">
<td align="left"><code>country</code></td>
<td align="left">“Österreich”, “Deutschland”, “USA”, …</td>
-<td align="left">The geographic region of the table (not neccessarily only countries)</td>
+<td align="left">The geographic region of the table (not neccessarily
+only countries)</td>
</tr>
<tr class="even">
<td align="left"><code>source</code></td>
@@ -670,404 +811,586 @@ code > span.er { color: #a61717; background-color: #e3d2d2; }
</tr>
</tbody>
</table>
-<p>Some of the provided datasets (mortality tables) have not yet fully implemented these conventions, so pleasy be vary when using them.</p>
+<p>Some of the provided datasets (mortality tables) have not yet fully
+implemented these conventions, so pleasy be vary when using them.</p>
</div>
</div>
-<div id="creating-a-life-table-object" class="section level1">
-<h1><span class="header-section-number">5</span> Creating a life table object</h1>
-<div id="period-life-tables" class="section level2">
-<h2><span class="header-section-number">5.1</span> Period life tables</h2>
-<p>Period death probabilities are the simplest type of life table, giving the probabilities of death observed during the corresponding year (the “period”). The death probabilities of different ages refer to different persons, being of the corresponding ages in the observation year. All that is needed to create a period life table are the death probabilities and the corresponding ages:</p>
-<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1"></a>lt =<span class="st"> </span><span class="kw">mortalityTable.period</span>(<span class="dt">name =</span> <span class="st">"Sample period lifetable"</span>, <span class="dt">ages =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">deathProbs =</span> <span class="kw">exp</span>(<span class="op">-</span>(<span class="dv">99</span><span class="op">:</span><span class="dv">1</span>)<span class="op">/</span><span class="dv">10</span>))</span>
-<span id="cb12-2"><a href="#cb12-2"></a><span class="kw">plot</span>(lt, <span class="dt">title =</span> <span class="st">"Simple log-linear period mortality table"</span>)</span></code></pre></div>
+<div id="creating-a-life-table-object" class="section level1" number="5">
+<h1><span class="header-section-number">5</span> Creating a life table
+object</h1>
+<div id="period-life-tables" class="section level2" number="5.1">
+<h2><span class="header-section-number">5.1</span> Period life
+tables</h2>
+<p>Period death probabilities are the simplest type of life table,
+giving the probabilities of death observed during the corresponding year
+(the “period”). The death probabilities of different ages refer to
+different persons, being of the corresponding ages in the observation
+year. All that is needed to create a period life table are the death
+probabilities and the corresponding ages:</p>
+<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" tabindex="-1"></a>lt <span class="ot">=</span> <span class="fu">mortalityTable.period</span>(<span class="at">name =</span> <span class="st">"Sample period lifetable"</span>, <span class="at">ages =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">99</span>, <span class="at">deathProbs =</span> <span class="fu">exp</span>(<span class="sc">-</span>(<span class="dv">99</span><span class="sc">:</span><span class="dv">1</span>)<span class="sc">/</span><span class="dv">10</span>))</span>
+<span id="cb12-2"><a href="#cb12-2" tabindex="-1"></a><span class="fu">plot</span>(lt, <span class="at">title =</span> <span class="st">"Simple log-linear period mortality table"</span>)</span></code></pre></div>
<p><img 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7csPn3f/2lGj2bBPgqlX3A9P65iOTeb24OyyzQaOra7DwEAUuepMQNDyzz3Vb5glD3f++3dUQnRQd5+Ya26DX/tlz1b3on3tTL7SljXCCFLhFK8S9UCv+vlmKcW3JS9hizLTR3j595g5IJrZ64VyMAERD0SHcgAABSveSZy2LJ8JmbW3vPfJFXq3zQuUq0yXItJF/6vS5s3j4pBI1ZkrRwZhHezIVSTeNw3+NpHOjVvYIdHH3300YSx847c0Wrv/rVs9ntrCiiwDZ7q+6gnVndUTcj3Dy1JPS0CU6/fmN5Y3RGqaTzsLvraSJH05vxp+8b+cPLultc6h79mnEiYugmvLfqop7UTngjZRW//b1Crf20t0IkU2MajJ/cOcHdECKHKhgXeGrZ+4siJunxZ0SGmGnxDZsL7f3vo7OjVy9f+mXHtno7xC2/S/omhowa2C60GwZVT9cpwbUQYySCw/g2ad+z78mcfPW7tzhKEkGfDa/AIIYRQDYTX4BFCCKEaCAs8QgghVANhgUcIIYRqICzwCCGEUA2EBR4hhBCqgbDAI4QQQjWQJz0Hn5mZefr06XJ3p5SKoshxXMkIGA9ex8/881eOJEkMw5gOkWHsUvKjLMtQMriWtQbGmbAsa9qFlB52w6yLZRjl6FLxyCmlsixXMPJyhGGZLkmSFAqF6ZTak8DyRW66UMspjszT2cglSaKUmk2pwQl0QeRVkUBRFAkhZlNq6r5T8YOP5RTXbIGCILAsayM/dhNYv379xMREsOBJBf7QoUMGgyEmJqZ83SVJ0mq1Pj4+JetPkiRRFFWqf4Z31+v1KpXKdN3odDpv738GsBYEAQBMy49ZA0qpXq83ncLzPMMwpivDrIssy4IgmIZhMBg4jjPdzsy6SJIkSZJSqTRt4OXlVcHIDQaDl5eXaeQsy9oOwzKBSqXSdEM06yKKIqXULAzTyAVB0Ov1/v7+ppETQqo6gZWy6iueQIPBoFAoKpJAyy2wKhKo1+slSfL19TWdUhX7TlUkUJZlZ/cduwnked501TuyBbrg4KPRaBiGMZ3iyKq3nUDXHHzKl8AKHnxcs+9YJlCtVqtUKrOUOp5AWZZXrVpltcB70nCxixcvTk9PL3d3QRByc3MFQTCdotFoTNuo1WrjV5MShYWFpj/q9XqdTmejgSzLRUVFplO0Wq3BYLDRRRTF4uJi0ynFxcWmcVp24Xleq9WaTikqKpJl2UYXvV6v1+ttNJAkSa1Wm0XO87yNLlYTaNyLyupiMBgsE2gauU6ny83NNW2g0+mcTaBGo3E2gY6sehcksLi42NkEmq16yy2wKhKoVqvz8/PNplQ8gZb7jt0EWu47dhPo7L7jSALNVr0jW6ALDj75+flmUxw5+NhOYDkOPjqdztl9R6PRuP7g45p9xzKBubm5ZlOc2ndEUZw1axa1Bq/BI4QQQjUQFniEEEKoBsICjxBCCNVAWOARQgihGggLPEIIIVQDYYFHCCGEaqBq9Bw8VZ9asWDtVZ7USXzuxScbsvZ7IIQQQsi66vMNnt7dsyH3sVfnvjUx/NCGDN7d4SCEEEKerPoUeOnWTTkyyguY8Mb18m8WUHfHgxBCCHmw6lPggVKAh28MlLG+I4QQQhXgsgIvZB85dNVQ8iPNP7n045mTnp3w0tv/3XdLBAC2QUP25g0e6L3sgqCIIFL2rBBCCCFkB6HUFV+WDdmb/u+dY52/fa9XAAEAqjn8n5lL/WZ8/FyLe2s/+ijjsS8+6BsK6owV/9uWS6iizTNTez64yU6tVi9evNg4kzNnzoiiGBAQUOaHIWTYsGFxcXFWfyvLssFgUKlUJaMRWA5cxvO8QqEwHTXB2KXkR8tBtMwaGGdiOmyA5YBOZl2MLxM2DcNycCGzLrIsy7JsGobZQq1GDgC2wxAEwSxyhmFsh1HpCRRFURAEsyEiXJNAu5FD1SdQEATTAQ+thmGWQMtV74ItUBAEWZZNp9SkBFpuk3YTaBa5I1ugCw4+BoOBEGI2xe6qt53Achx8PDeBrjn46HQ6hUJRVmD37t2bP3++IAhljYNHKb1+/XpKSgpYqPq76OndtK/fX3z0tlqK6/xwmnDm8MnQp75sG8CRgH79YtdtP1HQp0+Qf9yY2ea1Wa/X79y50/h/QsjZs2eN4+qUpVGjRi1btrTRQBTFf0KjFAB4/p87+oxDA5UKn1LTBsYuxsH7rDaAh0NLmXUxHt3K6mK5FOOYg46HYbbQsrrYDsMyckmS7IZRuQm0nKfLEuhI5FWdQOORzm4Ytle9C7ZAYwDlWPUekcBKidyRLbCqDz7GGMxmYvfDYgKdirziBx94OMih1S5ZWVkpKSlmX8UppaaLiI6OBqusDkFT+fgj34x7b1uBcdweOWfNGxO+SzcOuCNm/THzxV/OibZ6G+FociVwNDnTH3E0ORxNrgSOJmc6BUeTM/0RR5NzDWow8CpvL+OfH8TbR8UbDHhXHUIIIVR53PKiG6JSKflcvbGmU52OV6pUDtxUl5mZuX37dj8/PwCIjIx8++23qzZMhBBCqBKJAj2wFzolVnxOK1as2L17NwBQSu/du2e1jXsKfN0G4fKxnAIKwQT4Ozn5IY+EOXAqIT8/Pz093XiVJSYmBgs8QgghTyFfvyomL6V59yCsPsQ+UsG5nThxouQGtbKuwbvnOXjFI4nt7uzanqWn0u29O85FJbYPdOAbfEJCwrJly7KysrKysnbs2FH1YSKEEEIVJgrilvXCgv8AyzJTZ0B0TMVn+cUXXxirYWZmZtu2ba22cc+76Ilv/JRXs7+fP/slPRcSP/WV3qH42DtCCKGah9y4zm9eR+/nst16cL36C7IMJg9zVSlXFXhF/Kwl8SY/E7/Y4XPnDXdqHmq1OjMzk1IKACEhIZGRkZUaIkIIIVR5BEHcuUW5bxeEhiunv0oaNgIAKP2AXLnl5eVduXIFAGRZ1mg0VttUo9Hk7Dpx4kRKSoparQaAgICAgoICd0eEEEIIWSFfuyKuWkrz7osJSb4DhwJbySOkPvPMM1u3bgUAQkiXLl2stvGkAh8XF5eYmNi4cWMAiIiIcHc4CCGEkAVBEHdslvbtImHhymmzDf4BlV7dAWDRokVnzpwBAFmWk5OTrbbxpAIfFBTUpk2b9u3buzsQhBBCyJprl6X1qVBUwD3Vj328JzAMFBVVxXLq169fv359AJAkyfhV3pInFXiEEEKomuJ5cet69uCf0CBCOeF5El7f3QF5VIE3vckuODg4KirK3REhhBBCIF+9LK5aSvPz5C7dFL0HkNJj2FSF+/fvX716FWrqTXb5+fmmb9tHCCGEXE3gxS1p0t40Ur+BcvprusCgqrjibmncuHE16ia79u3b9+rVq1mzZgAQFBSE1R0hhJAb0ayL3OrlUnEx13cg+1gPYBjQal2z6MWLF9+4cQMAZFleuHCh1TaeVOD9/f2bN2+ON9khhBByM4NB3LRWOnoQIiKVU14mIWEuXn5YWFhYWBgASJLk6+trtY0nFXiEEELI7eSL58WU5bS4mOnVn++UqPL3d3dE1mGBRwghhBxCDAYxdYV09BATGa2Y8rJcNxj0encHVSZPKvDZ2dmnTp0yDjPTuHHjkSNHujsihBBCtYWceU6xapmk03J9BrLdegDDgCS5K5gDBw7s378fACilOTk5Vtt4UoG/fPlyyV30UVFRWOARQgi5gl4vbl4rHT0EDRspp84gIaHuDgh++OGHFStWgM276N0zXGz5dO/efc+ePZRSSqnx+T+EEEKoSsmZ5/h5n0knjnF9BvLPTqkO1R0Ali9fbqyGgiDEx8dbbeNJ3+ARQggh19HrYOcW4fgRJqqx4vlpJDi0it47W0WwwCOEEELm5AtnScpyarzi3v1J8MA3r2CBRwghhEzodeLmddKRgxAZTSa9xNZv4O6AygkLPEIIIfSAfP6smLqCarVc30FCQhJxyXtnq4gnFfjMzMzt27f7+fmZTe/SpcuECRPcEhJCCKEaQqvl1q4STv/FNGmuGD6G1K0nVLNn3Pfv379kyRIA4HleqVQaJ1JK7927Z7W9JxV4tVp94cIFy+khISGuDwYhhFCNIZ/JENckE4OeGzKSTUiqnlfcc3Jy0tPTAUCSJNbk1EK9evWstvekAt+hQ4eJEyfiu+gRQghVGp1O3LJOOnKQadxE7Pe0V2S0uwMq04gRI0aMGAEARUVFderUMU6UJGnOnDlW23tSgUcIIYQqkXzutLQmmfIGbuhoplNnfRkDq3soLPAIIYRqHaop5tasFM+eYprHKoaNJoFBlFJ3B1XJsMAjhBCqXeSMk+K6FEYQ2GGjuU6J1fOKe8VhgUcIIVRb0GK1uC5FzjjJNI8Veg9QNYyoqdUdsMAjhBCqJciZDGHTWipJ3NDRbHyiTq12d0RVy5MKfH5+fnp6el5eHgCEhIS0bdvW3REhhBDyALRYTVNXwpkM0iJWMWwMCQh0d0QVde3atYsXLwKALMtFZbwh35MKfEZGRslwsYGBgXl5eaTmnlpBCCFUKeSMk+LaZJBkOnCYomt3d4dTOV5++eXNmzeDzeFiPanAx8fHDx06tFWrVgAQEBCA1R0hhJANtFgtrkmWT//NtGwFA4dRP393R1RpVq5ceffuXQCQZXnevHlW23hSgff29m7QoEFMTIy7A0EIIVTdMaf/4ndsBgBu9LNsu048z4MsuzuoSuPn52d8cbskSSqVymobTyrwCCGEkF1UXSSmrlScPcW0asMNHUX867g7IvfAAo8QQqjmkNKPihtSCSHi4BG+iY+5Oxx3wgKPEEKoJqDqImH9avlMBhPbmhs6Sg+1/T4tLPAIIYQ8HvN3urRjM2FYxdiJTNv2AABlPDxWe2CBRwgh5MFoYYG4ejl74Rxp86hi8AhSg26VryBPKvCUUlmWJUkqX3dZlo3/lsxBlmWzGVJKJUkyHXLAOMV0JmZTLH+07EIIsdHFuESzBlYDM52n1Qamjw5adjEuy/GPVtZSHM9GOSK3jNNu5JWYQNur3nYY1SSBVrdA25GXI4GWS6kxCSxH5JYJdCRyFxx8ylpNtucpl77VvFISaPsYWL5Vb2xAT/0lrVtFGFYcNkbxaAeZZeFhs+q571iGAaULk9UuNsIw22xMeVKBl2WZ53m9Xl/u7gBgMBgYhimZIkmS6QxFUTQYDKZbqizLpg2MqTTNplkDYxuzeUqSZLa2TBtQSkVRNOtCKS2J07KLcRMxC8xgMJh9XrMGJUkoKwzLyGVZFkXR8TCMjW1EbplA40JLcm6cg2XkziZQluVyJND2qgdXJdBuGDYSaDUMs8NrxRNoXI/VIYGWXcBeAq1GDiYsVwrDMDYSaAzSqV1YkqRybIHOHnwsU+rIqgebCSzHwce4BTq76o2x2QqjqFBYuYRknpNbtZH7Pc1zCtnk8G7ZpawEmn5YszBcc/Ax9rKxmmzvOzWkwF+7du3o0aOBgYEAEBERMX36dKe6G4u3t7c3x3ElU3ie9/HxKWlDKfXx8TFdN5Ik+fr6lvxoMBgopV5eXmU1MP75ZjpFp9OxLKtUKsvqYtykTKdoNBqVSlUSp2UXQRBEUfT29i6ZIsuyj4+P2ZZqFjkAmD4uadZAlmWtVmsWOcdxCoWirC5WE+jt7c2ybFldeJ6XZdkygSWR6/V6QRBMu+j1eoZhnEqgVqtVKpVOJbC4uNjuqoeqT6BGo/Hy8nIqgcbtzbTAFxcXV3UCi4uLRVE0m1LxBGo0GmcTaDAYzPYduwmUJMmpfceRBOp0Ome3QEEQTFe9Iwl09uAjCALLsmah2j342E5gOQ4+xiLq1L6j1WoVCkWZq55S/thhedNahuO4cZOYNo8CAC0uruDBxzKBrjn46HQ6pVJpOsWRfWfXrl0HDhwwhn3z5k2wxpMKfG5u7p49ewRBAIDw8PBp06bhy+wQQqhWofl54url9OIFeCROMWwMMSmEtcr27duNr6oFgOjoaKttPKnAJyQkTJkypX379u4OBCGEkMtRKh09JG5aQxRKZuxEoVlLYnIKpLb5/vvvv//+e4fclWUAACAASURBVACQJGnOnDlW23hSgUcIIVQ7kcICIXmJfPECE9eOGzxSUqmA590dVHWHBR4hhFA1Rql0eL9i0zrq5aWYOJWJbQ0AYHL/HSoLFniEEELVFM27L65aJl++SNu0Uw4bBd6195x8OWCBRwghVP1QKh05KG5cQ1QqxfgpxY2ivbG6OwkLPEIIoWom7x7dkCpevcx27MwNGALe3vje2XLAAo8QQqjaoFQ6sJfdupH6+CgmvcS0iHV3QB4MCzxCCKFqgd67K65aJl+7Qtt1ZPs9zdTWcdwrCxZ4hBBC7vbginsq8fJWTHheHxXDmrzGDpUPFniEEELuRHPvcsl/iDez2fhErt9g8PICrdbdQdUEWOARQgi5iSxL+/eI2zeBj69i8stMsxbuDqhGwQKPEELIDej9e+KqpfLVy0ynzvwTvZm6dd0dUU2DBR4hhJBrGb+4b91I/PwUU6ZBTFOK5+SrgCcV+JycnKtXrx4/fhwAIiMj+/Tp4+6IEEIIOYfeua1Y8buYc5Pt3JXrNwiUKtORzpGDTp48eezYMQCglN69e9dqG08q8JmZmSkpKWq1GgDCwsJycnJwuFiEEPIYsiztTRN3biF+/oqp05mYZu4OyIN9+OGHa9euBQBCSJcuXay28aQCn5SUNGHChLi4OADw9fXF6o4QQp6C3skRkpfSm9lsfKKue0+vesHujsizrV69urCwEAAkSfrwww+ttvGkAs9xnL+/f1BQkLsDQQgh5DBZhoP7+N3bSZ0AxfPTmSbNKL53tsIYhjFWQ0mSOM56KfekAo8QQsiz0JxbsHIJ3L7FJnXn+gwAhdLdEdUiWOARQghVAUmSdu8Qd20jgXVh8sscPuPucljgEUIIVTJ6+5aQvJTeusHGJ4o9+xGVyt0R1UZY4BFCCFUeWeYO/cnv3UkCgxRTZzAxTUW93t0x1VJY4BFCCFUOmnNLWLWUvXWDjU/kBgwFJV5xdycs8AghhCpMkqQ/d4vbN5HAuvy4Sf6t27o7IIQFHiGEUMUYv7jT27fYxMe4vgP1OjwnXy1ggUcIIVReosju2SEc3EdCQpUvzyKNogAAsMBXD1jgEUIIlQe9cV1IXsrm3mG7P8n17AtlvG4FuQuuD4QQQk4SBXH3Tmn3dhIcKj73orJZC8B3h1c/WOARQgg548Z1fn0KvZfLduvBPdXPoNO5OyBkHRZ4hBBCjhEEunUDc3AfhIUrp79KGjZyd0DIFizwCCGE7JOvXRFXLaV592m3Hqpe/YFl3R0RsgMLPEIIIZsEQdy5Rdq3i4SGMy/MFEPDsbp7BCzwCCGEykRuXOc3r6N599huPbhe/QVZBlF0d1DIIVjgEUIIWSMI4s4tyn27ICxcOW32gyvusuzusJCjsMAjhBAyV3LFXUxI8h04FM/JeyLG3QGUJl5fuyD1Gv6BiBBC7iII4pb1woL/AKdQTn9V6tEbq7uHqkbf4Gn+ieRfVuzMeTSOujsUhBCqlci1K9LGVFpYwPXqzz7eExgGiorcHRQqp2pU4ElQ+1Gz/AxfpLs7EIQQqn14g7h5PXt4P23YSDnheRJW390BoYpye4GXru/5Y2umFNNzQs8YPAuEEEJuIF+9LK5aSgsK5G5PKnv2ITiOe41Q1QVeyD5yXHo0MVpl/JHmn1w2/9e0C4WqyMQx06Z0a8CxkY9PmPp4FUeBEELIKoEXt6RJe9OYRpGKCVO1vn54xb3GqNoCb8je/uuCY52/7RytIgBANUcW/3A4bMa8N1vcW/vRR//d0fKDvqG2ByjQaDQpKSnG/584ceKvv/7avHmzjfb9+/dv2bKl1V/JsgwABoNBEISSKZIk6UxepCxJkl6vJyajJsiybNpAFEUAoJSW1YBSajZPQRAkSZIkqawusiyLomi5lJI4LbtIkiSXfljFuFC7kZv2cjBy0eSZV8vIrSaQYZiyukiSRCm1TGBJ5MbFmUVOCHE2gZRSZxPoyKqv6gSKouhsAs1WvWUYVZFAURQtA3NLAi0jt5vAcuw7dhNomXNHtsCqPvgYP6nZlFJdLmWyG1ZLGg3t2VdMfExkGJHnqyKB4OSqN25gLj74uGbfsUwglD7am3UpKChYtGiRJEmmH00URe7h2H2U0ps3b4I1VVbg6d20r99ffPS2Worr/HCacObwydCnvmwbwJGAfv1i120/UdCnT5BphWebj5/b3HQ2Go3mt99+M/7f29v75MmTppmypFQqIyMjbTTQ60sNVGy2JiilYul3OBhXudkUnudtNzCdQiklpcdZstrFdLkOhmEWue0wjOxGbhaGI5FXegIBQKvVOhuGCyIHD0lgpWyBtrsYG5itpkpJYDXcd6rPFliOVW8shJYNiMGg3LNdkXFSbhChGzFOrlsP9HrHwyhHAnHfKStyAOB5vqyUZmRkzJs3z3JXKkEIad26tfXf0SrFH/lm3HvbCmRKKaVyzpo3JnyXLlBKKRWz/pj54i/nRCdmtnjx4vT09HLHIghCbm6uIAimUzQajWkbtVpd8leeUWFhoemPer1ep9PZaCDLclFRkekUrVZrMBhsdBFFsbi42HRKcXGxaZyWXXie12q1plOKiopkWbYduV6vt9FAkiS1Wm0WOc/zNrpYTaDxD9iyuhgMBssEmkau0+lyc3NNG+h0OmcTqNFonE2gI6veBQksLi52NoFmq95yC6yKBKrV6vz8fLMpFU+g5b5jN4GW+47dBDq77ziSQLNV78gW6IKDT35+vtkUYxfpwjnDp+/q357Np20rLt3AbgLLcfDR6XTO7jsajcb1Bx/X7DuWCczNzTWb4tS+I4rirFmzqDWuvMmOGgy8ytvL+LcN8fZR8UUGfCIOIYRchRgMYuoK6eghJjJaMeVluW4wlD6piWoSVxZ4olIp+Vy9saZTnY5XqlS2r8CXdvny5UOHDgUGBgJAw4YNZ8yYUSVhIoRQTSRnnlOsWibptFyfgWy3HsAwUPaJX1TNrVu37tChQwBAKc3OzrbaxqUFvm6DcPlYTgGFYAL8nZz8kEfCnHmTXm5u7p49e4wXKurXrz99+nSzSx0IIYSs0OvEzeuko4egYSPl1BkkJNTdAaGKSktL27Rpk/H/0dHRVtu49FW1ikcS293ZtT1LT6Xbe3eci0psH+hMgU5ISFi2bFlWVlZWVtb+/fuxuiOEkF3yhXP8vM+lE8e4PgP58c9jda8ZvvvuO2M1zMzMbNu2rdU2Ln3RDfGNn/Jq9vfzZ7+k50Lip77S284zcgghhMqNGPTcnh3CiWNMdIzi+WkkOBTfO1urVHGBV8TPWhJv8jPxix0+d97w8s1Mp9PdunXLeA0+ICCgXr16lREiQgjVQPKFs6pVy0Cn4/oOYrs/CXjKs2bRaDR37twBAFmWDQaD1TZuf1WtE44ePfr666+r1WoACAoKun//Pp6lRwghczqduGWddOQgjYiUnp3iFRXt7oBQ5Rs5cqTxtW+EkC5dulht40kFPi4uLjExsXHjxgAQEhKC1R0hhMzI58+KqcupVsf1HaRu24HlPOkgjxw3f/78S5cuAYAsy8nJyVbbeNK6DwoKatOmTfv27d0dCEIIVTtUq2HXJgun/2aaNlcMH0uC6kJBgbuDQlUlOjraePO8JElbt2612saTCjxCCCGr5NMZ4tpkxqDnho5i47vgFXcEnlXgTW+yq1OnTnBwsLsjQgghd9NpxS3rpSMHmeYtxT6DvBpGuDsg5ArFxcV3796FGnmTXWBgYF5eHl6GRwjVZvK502LqSsobuKGjmU6d9RqNuyNCLjJy5MgtW7ZApd1kJxxe9F1hz+m9I1UAAFR9NvnL3Q3emfaYohJidYTpTXahoaFY3RFCtRbVFHOpK4Rzp5kWsYqho0lgEKU4tkctsmDBgosXL0Kl3WTHRseI/xr5xJJRn73b484vb3yyN3zyN1+68BQA3mSHEEIAIGecFNeuYiSRGzGW7djZfgdU40RFRUVFRUGl3WTHhD/+xoqN7WZ27xs7R5X0cdquN9v7VEqgCCGEHEGL1eLaVfKpv5gWsUKvAV4RjdwdEaq+nHkXvXx94xt9e36gnZZ29cLy3sde6Dn+24O5eE4IIYRcgpzJEL75VL54gRs6WjHpJVonwN0RoWrNmW/w0l11zL+3ftI1nAOAt1d3G7n267QLYpcQV12Dz8nJuXr16vHjxwEgIiKiX79+LlowQgi5FS1WQ+pKOJNBWrRSDBtNAgLdHRFys/T09PT0dACglBpvp7dks8DLd0/vO3XHZLzg0KZwZm/amYc/1unRo7ULr8FnZmampKQY76IPDw/Pyclx3bIRQshN5IyT4tpkkGU6cJiia3d3h4OqhU8++WTNmjVQ/rvoxb9+nTX5fxk31DIQhmOJJEqUsEpvb6XxzD7beMbW9E87u+obfFJS0oQJE+Li4gDAz8/PRUtFCCE3ocVqcc1K+XQG07IVHTAM/P3dHRGqLlJSUgoLCwFAkqQPP/zQahubBV75xHOjGy3WJn79/UcTuzcLIoWX9v32zis/0je3LxsXzVZFyDZxHOfv7x8UFOTyJSOEkKux504LWzdQKnNDR7MJXQwGA+CDcOghhmGM1VCSJK6MEQdsFnjh+G+Lsod+u2N2L18AAAhq1vOVRd+ci5354/HRXyR40jtyEELIY9CiQjF1JXfuNGkdpxgyivjhF3dUHravwd+7c88rtI7SdJoyINA799YdybNegocQQp5BOn5E3JhKGEYcMsq3c5K7w0EezOZjcoq2ie3uLP3sv38VysYJcmHGz5/9kR3brhVWd4QQqlRUXST89j9x1VImuonilTelVm3cHRHybDYLNRP53LdfbOv3r04x33fqFBsCueeOHbtMEt/f+HxT11+BB8jMzNy+fbvl7XU9evQYNWqUGwJCCKFKQSnz13FxxxbCsopnnmPi2gEAFBW5OyxUvRw7dmzRokWyLPM8r1Q+OLlOKb13757V9na+iXs98mJqxhM7UlbvOnktT4xp23f2oNFPdwxz1X3zpeXn56enpwuCYDbd19cXCzxCyEPRgnxx9Qo28xyJa6cYPIL44iNCyLoLFy7s2LGDUirLMsP8cwLeODC8Jfun2pmAFr0nv9W7sgKsgISEhClTpuC76BFCNYaccVJIXUlYVho+1qtDPGGcebsoqmXGjRs3btw4ACgqKqpTp45xoiRJc+bMsdoer6UjhJA7FOQLyxbLF88zce24wSN5fAQOVTYs8Agh5FqU0mOHmC3rqcpL8ewUpnUcAEBxsbvDQjUNFniEEHIdmp8npiyjlzJpm0cVQ0cRH193R4RqLJvXe4T9n474dH/pe9rovQ1zn/22SmNCCKEaiFLpyEF+3mf0dg4zdiIdOhqrO6pS1r/B08ITK3/dfdOQkbzp7wvfqI6YtBJvbF2ypeFnLgoPIYRqAlJYIKz8Xb6UycS144aMFBVKsHggCKHKVUaB1176c/3aDP7+TSGX37D2MvnnV4Tx6j73BRdFV5rxMbm8vDwAiIiIaNmypVvCQAghJ1AqHd6v2LSOensrJk5lYlsDAFZ3VEE5OTlnzpwBAFmWi8p4ZYL1As/UHzl/10jg0+b22dlz62dPKq22crWMjIyS4WIDAgIKCgrcHRFCCNlC798TU5bJly/RuHbKoaPA28fdEaEaYtKkSVu3boVyDBd77VSGLrhpy/COL34bXHDu77/Nfs0Etm0TVbmxOqJ9+/a9evVq1qwZAISEhLg+AIQQchSl0pGD4sY1RKVSTHi+OCLKG6s7qjxLly69cuUKAMiyvHDhQqttrBf4OfHtT07ff/bjG3PiR6zSW/zaawTVJVdmpI7x9/dv3rw5vugGIVTd3b8nb0yl166wHRO4AUPAyxvfO4sqV926devWrQsAkiT5+lq/W9N6gV9WqJUZhYKLX1aoX2L59gXijjfRI4RQ9UeptH8Pu20T+PoqJr3INI91d0Co9ipjlPgHb7EnnFJF7v+9KXXnqbuNBr/e3y8zJ6BF00B8eB4hhCzQe3fFVcvka1dou05s/8GMxchYCLmSnVrNn/9pRM9/pQmBXHG3FrM6Xn+h9ftFzy5c++PIGPeMN4MQQtXRgyvuqcTXTzH5JX3DSFBWj5uTUS1m80U39M7yN+ZmPLHkXNaCfj4E2JhXNh78KHLTC//6w1XhIYRQdUfv3+N+/5+4ZiXbrqNy1lymGT7Bi6oF22+yO/nnkdAR04c0evh1nQlsP+29CfUP73VBZAghVN1RKh05KH33JRQWKCa/zA0dDSqVu2NC6AHbp+hZljXodLLpJElTrFO6ZwumD5W7e8lMbMzQ6hTbMZg1qHiXiofh+FIqGHkNS2A5llJNIndxGFan1IwEOt6F3rktpiyjN66Tjglijz4kKKikjSORl2MLLEc2LKe4JYHOhlFNEujKLbAcS7FsacZmgVd06v8UP+Xj/zy7JAYAgMpF51Lemv270HuprV5VRpZlvV6v0WjK192YBb1eTwgpmSJJkukMBUGglJY0AACzBpIklfxrJIqiWUhmU0RRJIQIJi+uMpun1TAkSWJMRoY2ayA/ZLoUrVZrIwxjzKIo2gjDsosoijzPOxW57QTKsmzsZRZnSRfjr8zCcDaBoiiKomg7gZRS0wQ6uOorN4FW16Msy84m0HTVWw2j0hNoTFc59h2nEmgMw3YCJUkyPcDZTaCxvbP7jnkCBUG/Ywuzdyf19ZOemSRHx4iiSEtHbnc9yrJc1Qcf44c1m2KZc9MECoLgSORVffARRVGSJBcffMqKvNIPPmYJBACe502nOLXvSJJkNrcSNgs8CRz4xeJJg8cmRRUxknJnk2D1bV1Yr3eWf9XfVq8qc+vWrbNnz+7fvx8AwsPDJ0yY4FR3URQNBoO3tzfHcSVTeJ738fnn7RPFxcU+Pj6m66aoqMjP5FZYg8FAKfXy8iqrAaW0uLjYdIpOp2NZVmlyx41ZF0mS9Hq96YOMGo1GpVKVxGnZRRAEURS9vb1LpqjVal9fX9Mt1TJyAFCZnD80ayDLslarNYuc4ziFQlFWF6sJ9Pb2Zlm2rC7G7dgygSWR6/V6QRBMu+j1eoZhnEqgVqtVKpVOJdCRVQ9Vn0CNRuPl5eVUAs1WveUWWBUJLC4uFkXRbErFE6jRaJxNoMFgMNt37CZQkiSn9h2zBNI7OfrlvzO3b7GJj3F9B4FSKUmSTqcz7eLIFigIQlUffERRZFnWdIojBx/bCSzHwcf4tcqpfUer1SoUChcffFyz71gmUK/Xq1Qq0ymO7DuHDx9OT083hn3nzh2wxs5d9CT0qc/3Z71w/HD62WsFbHCTDl27tgqht28BNLDdsSpcv35906ZNOp0OACIiIsaPH2+6SSGEUNWSZWnPTjFtK/Gvo5g6g4lp6u6AUO21fPnyNWvWAAAhpE2bNlbb2CzwwoHf/wgY/lzrxvG9GscDAAB/Y9dXY2Z+SU/fWVHp4dqVlJT04osv4pvsEEKuR2/nCKuW0pvZbHyirntPr3rB7o4I1Wq//PLLL7/8AgCSJM2ZM8dqG9uPyan3vdVr2H9OFgM8qO3tH+n10ak2c16u/GARQqh6kmX4czf//Zeg1Sien84NHU0V+Iw78gA2v8Ere3+9dsaQQX0G3n2v15UfP1+VHTnyne1bZ/aIwI0bIVQr0JybsOJ3euc22/Vxrnd/wNKOPIfta/AkIGHu+q3eI/rN/Dft8f62rW88ibUdIVQ7SJK4a7u0ezsJqgtTpnFNm7s7IIScY73Aa4sKhZLnJmKeW5RieHb4twf+upHf0d8LAIgioA6Oe4gQqrFozi1h1VJ66wYbnyj27MeY3HqNkKewXuAnhgVaGSX2tcTw1wDAbcPFIoRQlZMkdm8af2gfqRuseHkWExkt6i2Phgh5AOsF/j8Z5z+y/tw8AAAw/lUUDUIIuRG9mS0kL+Xu3mYf68H16gscjqqFPJj1At+gWYuS/1O+8PbtQt70ZXgEL8QjhGoWURTTtkp7dpKQUH78VP/YVu4OCKGKsn2TnXw9eXKfSb+f18il3nWLp+gRQjUIzbkprFpGb99iu/XgnuqnL/3iVYQ8lM0CL6b/+G4y++yy9De6NfA2eWKe4P0mCKEaQRTZ3duFQ3+SkDDltNkkItLdASFUaWwWeCnn1v1HJ742ol20zffhIISQB6LZ14RVS9ncu+zjPbkn+wBn59XdCHkW26PJxXVud+/o6XzapB6+8x0hVHOIgrhji7RvFwkNE597UdmsBeDAFqjGsV7gLxw6cE8GAIgd2+N/M/tMOjtjSKfoet4PR+lhgpMSW1jtiBBC1d2N6/z6FHov13jF3aDTuTsghKqE9QL/fq/HU0ye/Dz97uQ/TH/tNVxQL6/SsKzKzc3ds2dPVlYWANSvX79r166ujwEh5MEEgW7dwBz6E8LqK2e8RhpEuDsghMrp3Llzp0+fBgBZlvPy8qy2sV7gl6sFNxRwe86ePZuSkqJWqwGgXr16ubm5OFwsQshB8rUr4qqlkHefdntS1asfmAwcjpDHef311zdu3AgAhJAuXbpYbWPv7jnd+ZVzBj82deU9CiAceuexDgPfSLnophNaSUlJGzZsyMvLy8vLy87OxuqOEHKIIIhb1gv//RY4jkydQR/vidUdebrU1FRjNbx7925Zo6jbvmtUs3fuoEnrms78qq0fAeBiR8wcdGruxD7FgVnze1ZFxLZxHOfv7x8UFOT6RSOEPBS5cZ3fvJbm3We79eB69eclCSTJ3UEhVFEKhcJYDSVJ4sp4AMRmgeePrFytHfPzqs/6+gIAkMC4Ee8tC7odOzEF3FHgEULICYIg7tyi3LcLwsKV02aTho0AAKs7qj1sFniq0xn8w4NVptOUdevVMdyo2qAQQqhi5KuXxVXLaP59MSHJd+BQPCePaiGb1+CVHZ9Myv3j04Wn1A/eVCsXnV78+ZKbnbu7IjSEECqHkivuCoVy+qtSj95Y3VHtZPMbPAkbPe/HPQOmtI/4pGVsk2C28MqZ03eDhy/YMs5V4SGEkBPItcvShlRaVMj1HsB2fxIYBoqK3B0UQu5h59WMXPTIhendXtq6Pu3ktQLJd9iM7wcO6hrl45rYEELIYbxB3LyePbyfNmyknPgCCQt3d0AIuZn1An/tVIYuuGnLcOHa6asFMnDRCb2jE4y/Krj4dwET2LZNlAuDRAghW+QrWeKqZbSwQO7RW/nEU0SB47gjVEaBnxPf/uT0/Wc/vjEnfsQqvcWvcbhYhFA1IfDiljRpbxrTKEoxcarW1w8YHBwLIYCyCvyyQq3MKBRc/LJC/RJq8WuCd6wghNyPXrrArUmWNMVcv6fZro8Dw4BG4+6gEKourBf4q3+fvC+X3Ympl9CpaRUFhBBC9un14qa18rFDNCJS9fw0Ehzq7oAQqnasF/i3unW2cma+BJ6iRwi5j5x5Tly9gmqKmV79+U6JxN/f3REhVB1ZL/ArNOJyyzPzJfAl8AghdyAGvZi6WTp6iImMVkyZJgXVBYPB3UEhVE1ZL/AM889Vdqq/f+NWIU9NCj7j16RxWFVHhhBCpuQL5xQpyySdluszkO3WAxgGRNHdQSFUfdl+Dl6+vmpK7+cWn9eU/jqPp+gRQq6k14mb10lHD0FEpPKFGXjFHSFH2CzwYvqCd5OVE1b+NffxCG+TJ0+Iquw+CCFUmeQLZ8XVK6hWw/UZqGnXySsgwN0RIeQZbI8md+VSTtvxs4e1jcDnShFCrkb0epq2RTh2mImOUUydQYJD8L2zCDnOZoHnGjQKyf77VD5tUg9vq0MIuZJ89hRZvYLyPDd4BNu5K97bi5CzbBZ4Rdzkt54cOaP3pHMzBneIClQ93MGYkO6PtXJBcAih2kirFdevlk4eg5imzNDRbAhecUeoPGyfot/x8cw/MvWQ+e6UP0ynew0X1MsrPRT57p8//by3WCHzIX1ffq5TEP69jlDtI58/K6Yup1od13cQH9+FwbfKI1ReNgu8athytVD5ldw66WpaGjNg7pxH6dHvv9p7u8Pg+njhH6FahGo17Jpk4czfTLMWimFjSFBd0OncHRRCHsyh0eTMVclocmzU0DeeU6qoNvNiXp0YP/z+jlAtIp/+W1qTzAg8N3Q0G5+IV9wRqji3jyYnXd/zx9ZMKabnhJ4x3P1jy37ber/VmEmd/XH3Rqh20GnFLeulIwdJsxZi36e9Gka4OyCEaoiqHk1OyD5yXHo0MfrBk/M0/+Sy+b+mXShURSaOmTalWwOOjXx8wtTHAYCqj/+y8FTHF95qXw8Hq0OodpDPnRZTV1LewA0dTTomGLRad0eEUM1hvcBzSiUAABBOqSL3/96UuvPU3UaDX+/vl5kT0KJpoO3X35kwZG//dcGxzt92jlYRAKCaI4t/OBw2Y96bLe6t/eij/+5o+UHf0Idf1Q2ndh++WXDnx083ARP++NQpj4UQANBqtVu3bjW2OHXq1KVLlw4dOmRjiT169GjcuLHVX8myDAA8z4sPX28py7Ioinr9P+coJEkyGAzE5PSgLMumDURRpLTUnzxmDSilkiSZdZEkybh0q10swxBFkRAimryG06yLcYZmU/R6ve3IjeE5Fbksy5IkOR65MYGMyYDcDiawJHJBEADAtIsgCIQQZxNY8q/VLlYTaHfVQ9UnUBRFZxNotuotw6iiBFJKK5RATTG3frVw/gw0a0kHDRPqBFCed1kCndp3HEmgZeR2E2jWpSoOPsaYzaZUMIHlOPgYE+jsvmOc6HjkFT/4uGzfMZtibF/WalKr1cnJybIsm340QRAUD+8/pZTeuXMHrCFmH9gMf/6nET3/lSYEcsXdFuZ+fr1Xq/eLnl249seRMfZubaV3075+f/HR22op7uVF7/UKIADAH/3PlDUxX346KIyAdv//vbC97Xcf9LF9t/zt27cHDBhg/H9wcPDBgwfVarWN9h9++OFLL71kJzaEkFspzp9R7dwMlBqe6C20buvucBCqpx8XAwAAIABJREFUvo4cOTJ48GCx7GEXCCGJiYkHDhyw8jtqg3x78aCg6HHJ19WpY4JHrtJTKT/9P/3rBw5YZKuXKf7IN+Pe21YgG2eXs+aNCd+lC5RSSsWsP2a++Ms50dE5UUoXL16cnp7uRIfSBEHIzc0VBMF0ikajMW2jVquNX01KFBYWmv6o1+t1Op2NBrIsFxUVmU7RarUGg8FGF1EUi4uLTacUFxebxmnZhed5rVZrOqWoqEiWZduR6/V6Gw0kSVKr1WaR8zxvo4vVBBr/TC6ri8FgsEygaeQ6nS43N9e0gU6nczaBGo3G2QQ6supdkMDi4mJnE2i26i23wKpIoFqtzs/PN5viSAJldRG/5Bf96zP4XxYU3cg2bSBJkuW+YzeBlvuO3QQ6u+84kkCzVe/IFuiCg09+fr7ZFEcOPrYTWI6Dj06nc3bf0Wg0rj/4uGbfsUxgbm6u2RSnDj6iKM6aNYtaY/NRNOHkn0dCR0wf0ujh13UmsP209ybUP7y3XH+IUIOBV3l7Gb+xE28fFW8w2Dp9gBCqWU7/LXzzqXzpAjd0tGLSi9S/jrsDQqgms305nWVZg05X6jk5SVOsU5ZvsBmiUin5XL2xplOdjleqVM7cLJ+dnX3q1KkdO3YAQHh4+IQJE8oVBkLI1WixGlavgLOnSMtWiqGjSUCguyNCyLPt3LkzPT0dACilOTk5VtvYflVtp/5P8VM+/s+zS2IAAKhcdC7lrdm/C72XliseUrdBuHwsp4BCMAH+Tk5+yCNhzrzM5vr165s2bdLpdAAQERExfvx4gg/LIlTtyRknxbXJIMswaLgiqZu7w0GoJlixYkVqaioAEELatGljtY3NAksCB36xeJL2y6SoZ1bnbX65SXBY6wkbw95Y/lX/8gWkeCSx3Z1d27P0VLq9d8e5qMT2gc4U6KSkpA0bNuTl5eXl5WVkZGB1R6iao+oiYclCYemvpFE0THsNOia4OyKEaoiFCxcaq+Hdu3fbt29vtY2dJ95I6FOf78964fjh9LPXCtjgJh26dm0VUu53QxPf+CmvZn8/f/ZLei4kfuorvUOxRCNUU7HnTgtbN1Aqc0NHswldDAaDuyNCqHax/0g7FalXeMtOYS0AAEB769o1IL5RkcEOzV4RP2tJvMnPxC92+Nx5w8sTKYDxVtX8/HwA8PLy8vb2Lt98EEJVihYWiqkruPNnSOu2iiEjiZ+/uyNCqKYxPkICAJIklfUQne0CL19Pntxn0u/nNXKpu90r81W1Tjhw4MCsWbOMz8HXq1cvNzcXz9IjVN1Ixw+LG9cQhhWHjPLtnOTucBCqmYYOHbpx40YAIIR06dLFahubBV5M//HdZPbZZelvdGvgbXK1nnhVZpgOa9Wq1fvvv9+oUSMAqF+/PlZ3hKoVqi4S1q6Sz55iYltzQ0fpAfdQhKrKF198MX78eACQZXnLli1W29gs8FLOrfuPTnxtRLvoajFya0hISJs2bcq6mwAh5DaUMiePizu3EI5TjJvEtHkUAKCoyN1hIVRjxcbGxsbGAoAkSUeOHLHaxvZjcnGd2907ejqfNqmHf4ojhKyiBfni6uVs5nkS104xeCTx9XV3RAghgLIK/IVDB+7JAACxY3v8b2afSWdnDOkUXc/74ShvTHBSYgtXRfgPvMkOoeqFUunoIXHzWsIppOFjvTrEE6ZanO1DqMYzvu0YynGT3fu9Hk8xGerm9LuT/zD9tddwQb280sJ0mOlNdnXr1r137x5ehkfIXUhhgZCyVL54gYlrxw0eydsctgohVLmGDRtWzpvslqsFNxRwe0xvsmvQoAFWd4Tcg1LmxDFuxyaqVCmencwYh4MrLnZ3WAjVIl999VXFbrIDAN35le+++UPhmDU/jQoWD73TY/pfXeZ+8/7wZu44O4432SHkdjQ/T0xZxl7KlGJbq0Y+Q3zwijtCbtCiRYsWLVqAzZvsbF8w0+ydO2hSCt+1d1s/AsDFjpg5iF09sc9rO6sgWoRQ9UapdOQgP+8zeue2NGIcP3gkVneEqjOb3+D5IytXa8f8vOqzvr4AACQwbsR7y4Jux05Mgfk9XRMfQqg6IAX5worf5axMJq4dN2QkL1Mo474ehFA1YbPAU53O4B8eXGpwWGXdenUMN6o2qDLk5ubu2bMnKysLAOrXr9+1a1e3hIFQ7UKpdPBPxZZ11MdH8dwLTMtHAPCKO0Judu7cudOnTwOALMt5eXlW29gs8MqOTyblzv104djfX2jjTwBALjq9+PMlNzu/X/nBOuDs2bMpKSn4qlqEXIbezxVXLZOvZNG2HZRDRgI+m4pQ9fD6669X7FW1JGz0vB/3DJjSPuKTlrFNgtnCK2dO3w0evmDLuKoI166kpKQJEybExcUBgJeXF1Z3hKoQpdKRg+LGNUSlUkx4vjgiCt88gVD1kZqaWjLYzIcffmi1jZ276LnokQvTu720dX3ayWsFku+wGd8PHNQ1yqfyY3UEx3H+/v5BQUHuWTxCtcf9XHlDKr1+le3Umes/GLy88b2zCFUrCoXCWA0lSeI466Xc7nCxuusn0/l2U15/Wry89pMP/vjh9NWiubP7RSkrO1iEUHUgy9KBvey2jeDrp5j0EtO8pbsDQgiVk+3H5MQz8/o++thzv5wR5cs/Txk/P0MiF/47auCHx10UHULIhWjuXeG/34qb1tK4dsyMOVjdEfJoNr/BC8d/+++Zrj+f/Kkvd+P7lGMtXzuW8majHc+3nPYHfNzRVREihKregyvuqcTXTzH5ZX3DRqDE03QIeTabBV6+c+tew/YdwllauH93RnTveU1ZIA0bBRdcdFV4pVy+fPnQoUOBgYFm05OSkgYOHOiWkBCqAejdO1zKMvFmNpuQxPV7GlQq0GrdHRRCyNzff/+9YsUKSqnBYFCpHjzBTinNzs622t5mgeeatIi6tmvnxXyv7b/uCnxy1iMciFl79l4JS6j0uB1hfA5eEASz6UVFRVjgESoPWZb27ZJ2bAF/f8Xz05gmzd0dEEKoTMePH09OTgYAWZYZk5Ebo6Ojrba3WeDZR6a+N/yPMW2C51C/pC+/7cz89Xm3Hu+ea/flD5UZssMSEhKmTJmC76JHqFLQO7eFVUvpjetMp85Cjz4qfD4Foept8uTJkydPBoCioqI6deoYJ0qSNGfOHKvtbd9FT8Ke/jn9/AvHs6BJQsdGCjk74cXvt3Ud+kRMJUeNEHIlWZb27BR3bCZ1AhTPT6PRTaheb78XQsij2Czwmj0fT9r0yH/+b8gTxlMBTKMnxj/jkrAQQlWE3s5RrPhdvH2L7fIY12cQKJWSJLk7KIRQ5bP5mJxXfa+bq1IOFVJXRYMQqkKyLKVt47//kuj1ihdmcIOG463yCNVgNr/BMxFjPn31+NwR065OHtAuIkD58K8BJjgpsYULgkMIVRZ6O0dYtZTezGbjE3Xde3rVC3Z3RAihqmV7uNgts3rPXKUHOJi2wHS61wiqS67auBBClUWW4cBeftc2UidAMXU6E9OM4ntnEaoFbBZ41fBkXTU6Pa9WqzMzMymlABAaGtqoUSN3R4RQdUdv3YSVv9O7d9ik7lzvAaBQuDsihFAlyMvLu3LlCgDIsqzRaKy2sfsueqB84e3bhTw1qfTENyrSDef3Tpw4UTJcbEBAQEFBgetjQMhjSJK4a5u0ewcJqguTX+aa4jPuCNUc48aN27JlC5R/uFiQrydP7jPp9/MaudQXeTedov//9u4zPoqiDQD47O619F5JSOgEpGMklAAJJVQBIXQRRFA6IgLKqyKKCig2QJH3BZSahA4BadJ7AEPvJSQhCWnXb9u8Hw6O5e5yKeRyJc//Az9uMrP73OztPrflZpo2bRoTE1OrVi2EUI0aNao+AAAcBc7OYpLX4azHVHQM26UnKZPZOiIAQGVauXLltWvXEEI8z+tHvzFlMcGzacs+S6JGrk+bFRvqInjenrDNwcLHx6dJkyYw0A0AlnAcdfIofeQA4e0rHj+ZrFWXhd+4A+B0QkNDQ0NDEUIcx+3du9dsHYsJnsvOym/+zkeDWkRannQOAGAXcHYmk7SOepJFxXQQ9eiDxPArOACqL4sJXty0TYunZ68U4jp+RFUFBACoCI7jjv3D7ttN+Aey74yXNoiydUAAABszn+BvnjrxlEcIoahhcX9MSRhzbXL/1yP9XKhnf4bfwQNgT3B2JpO8Dj/JpmLjqC49dHBNHgBQUoL/olunFMEh4spn764V/lk2kFFssGpYAIAyYRnq0N/M6eNEYJBk4odEWE2M7einrQAAGzKf4DcoGEjgANg5/tEDNnkd9TSP6txVFJ+AKKr0NgCAaqP038EbwU/WjU68tvro19aIppRVP1fh5oaFWFig2RLLMRhVePUmrx5G2dfyipE7WQdWYC22iZyhuQN7uaOHiMAgdvT74rr1MUEgwdKsHYbZEkfqwHLuO9b40FbgE1iB3jAtsUkHljcMO+nAqvwEVmAtpjWNlJLglReXTZiw5MDdIub5Ejh1kSJ06mrLzayD53mNRqNUKivWXN8LGo2GIAhDCcdxPM8b6rAsa9RZLMsK16ifd4tl2ZIqIIQYhjFqQhAETdMlNTEbBsuyJElaaMLzvHASMIZhjAYzMmrC8zzGmGEYy2EYRc4wjE6nsxyGsIRhGJ7nDT1cUhimHWhoon9Tr9iB+sgtdKA+DGEHsixbauT6N2g5jAp0oFEY+vdrIQzi8SNi9zaiMJ9r056LjWcR4gWb3mwYFehAlmUthKHfU4xKLHegPgzLHWjaxHIH8s+VqwONNn2p+04ZO9CoN0oNwzTyUjsQlf/gY7SHluXgYznyChx89JXLte/oj4GW9x3TyF/x4GO2CULI2gcf/SqMjgNlP/hwHFfShJAWEzz/cM2MWYcD53w/lV3zYXLNrxb0klz877wtUavnWWplNVlZWdeuXTtx4gRCqFatWomJieVqzrIsTdOurq4ikcioxFBHqVS6uroKt41cLvfw8DC81Ol0GGOZYNgQowr6o56wRKPRUBQlEUzbZdSE4zitVuvm5mYoUalUUqnUEKdpE4ZhWJZ1cXExlCgUCnd3d+En1TRyhJBUKi2pAs/zarXa3d1dGLlIJBILBjc1amK2A11cXCjBtWKjJjRN8zxv2oGGyLVarVEHarVakiTL1YFqtVoikZSrA8uy6ZH1O1ClUslkshI7kGF0qdvRqWNESKh48kwitAYy2fSmn0BrdKBSqWRZ1qjk1TtQpVIZ7TuldqBOpzPadyx14PMjabn2nbJ0oEajEW76snwCGYax9sGnqKiIoihhSVkOPpY7sAIHH61WSxBEufYdtVotFour+OBTNfuOaQfqdDqpVCosKcu+k56efvz4cX3Yubm5yBzLA91cu3AtbNiOj4dGq6kt/9sT2O3N3r3by262/X7Ld+1GWmpoHffu3TMMVRsREVHeBA+AQ+Mf3GOT16HCAtSpq6RrD7jjDkB19uuvv27cuBFZHKrW8gg2mMcIEQgh17r1ve/cyOAQ4fN6dPDJg5UfbBl07Njx8OHD+nsVDx48sEkMANgAw7B7djC//4zEYmLcZNypC2R3AKq5DRs26LMhwzDR0dFm61hM8KLm7Vpmbfjm12OZXJ2m9W9vTb6u5QsuXrjv6mWVeAEAJojHj+ifvuOO/UPFxkkmz0ShYbaOCADgGCwmeDJ0xKJFbW989cnGx+4J4wfnf9kq0Ddi0LYaY0dVVXgAVGM0ze5Ikfz5B5LKJFM+FvXoCyfuAICys/yQ3ePr8k5L/83zphBJ1vnhVFrv/enq8JiuMRFVFR4A1RR/7w6bvA7Li7lOXV279UQkzAcBACgfiwmeOf1NfOJWaa3o+ISEHj16dO8Un9gIDjMAWBdDs/v2c0cOEiGhkpFjFe4ekN0BABVgMcFL+6+8cW7M0aNHjx79e/Hor8crvRq175aQkNCj7/C4elUVIQDVCPHgHrdrC5bLRQl9qNg4RJJILrd1UAAAh2R5oBvKM6JVwshWCSOnI8QXX9+5/Nuvf/xp5tpfzwzXmJ9eHgBQQTodm7qdOnMChYVLRr9PBAbZOiAAgGOznOCxNuf6mWNH9U5fySFCm7YdPK1j5wFVFB0A1QN//y6bvB4XF/Fx3SWduxKC8T0AAKBiLCZ43eZRtRKTueDo/kP7T1k+v2OHVnW84cADQCUidDr2wB7u5FEyPEI8epza1R3uuAMAKoXFBE/V6Tywy+0jZy7u2qDKzXj44P69Dh06tGka7gG/1QGgEuDbN8mtmzi1StSrH9WuIyJJ9PKY3gAAUGGWB7pp8f6f+y48LHh6bdf3Y9v7Pz2+ckbvKH/fyJjPqio8AJyUVsNu3sCvWYG8vCXTZlEdOsOJOwCgcpVlulhK5uHp4e7qIpOIRSTB01qd+YlrAABlwd+6zm7eiFVKslsvJrotIZhjAwAAKovFBM9d3zD769UHj5xMz6S96rWJ79590u8LunVsEeZmqRUAoASETstuSeXOniJrRorHTuR8fJFgJkoAAKhElmeTe5B2Tlmr76cfLO0eF13L09Z33gsLC9PS0goKChBCAQEBzZo1s3FAAJQHf/O6OGU9p1GLEvpQHeMRQSDB1NQAAFB2Dx8+vH37NkKI53l5CaNlWB7opsfiwz24/H93b9nyy6Hwfh/3cr+V7dWgrndZrutbQXp6umG6WG9v74KCAuEMxADYL62GTd3OnTmJwiMk4ycT/oG2DggA4NgmTJiQmpqKLE4XW0qupm/8PqjL1IOMt0gZ22B660fjX/tCPnLltmWJtW3wc7no6OgBAwY0atQIIeTl5QXZHTgE/uY1dvNGrFaLevRVtXhd5gWTMQIAXtWmTZtyc3MRQjzPL1myxGwdiwke52yYNSe981/Xl4tm1dqIqNrTdp2kRvQeP3Vt4s7R1ojYMhcXl9DQ0Nq1a1f9qgGoAEKrxQf3MOdOk5G1xeMmE/4BMO4sAKBSuLu7u7u7I4Q4jpNKpWbrWJ5s5uKxM4GDtvcPF+/UF5DeLSd+Pur3nkcQskGCB8CB8DeuEZvXY41W1KPvszvuAABQhUoZi56idBoNLyziVEqNxPyXBQAAQghpNOye7dyZkyiiFjl2CBUUYuuAAADVkcUEL369V1d67Fc/jvyrNkIIYV5+PeWTD/9kuq+rmuAAcDj8javslo1YpxP1GUC3jCZhVHkAgI1YTPCEd5+Fq8f0G9YuQk5ykgN1/BVPNEHd/rNhca+qCg8Ah4FVKmrrJuZqOlm/ofitoYS3D9JobB0UAKD6KuUpeiKw67fH744/fzrt2sMiyr9Oq/btGwXAKQkARvjLl7htyQTDiN4aSr3eBu64AwBsrvSftOuy0o8f2nfsWrZa5POgCPkF9W3qZ+shbwCwG1ip4HZv4y6cI+o1ZHv0ldUIs3VEAACAUCmTzSBcfOw/HV/rOPbH/fcUGMtv7f5mWOvXev14CS48AoAQQnz6ReaHb7hrV0QDhohGj0de3raOCAAAnrE8Fv3tFR9/n9llxb9r3m2oH35efXPVO12nTF857Z/JVRIeAHYKKxWizRuYG1fJho3FA4YQXl48z5feDAAAqorlsehvpN8MG7Lk7YaGyWVcG4ycOWxhwjnrBwaA/eIvpbE7UkiOFyWOoFpF2zocAAAww2KCp8Iiaqgzn+oQevFcne5pvso/yOpxAWCXsFLBbk3ir/xLNmjEdO8Nd9wBAHbLYoIXNZ/0de+EWcO/Yr94p3OUP8q/cXjNFzO21hx/uIqiA8CuXPmX2b0V87xowBDqjbYaGHcWAGDHzCf4RBciWfvi5b/9d/zH8IJw8f1tKZq53NqRAWA/sEKOUjagG1eJRk3EAwYTHp62jggAAEphPsEvOHp6hoUHhkg/K0UDgB3iLpxjd2xGCKGBQ8Wvx9g6HAAAKBPzCb7u62/URQipDn81ZnfjH7/rH2L513QAOCeskLNbk/ir6WTDxnzvAcgTTtwBAA7DYuaWhcgyk1NOFeOqigYA+0Fdv8L88A1/745owBDx6PGQ3QEAjsXiQ3Zk2NAFM87PGTTxwbu9W4R5SZ5/GyD928U0qILgALAJXFzMbtkgunGNaNJc3G8Q4e5h64gAAKDcLCZ4es/07lOStQidPPjSM3WyQViTZN24ALAR7txpdtdWgqLYAUPc3mhr63AAAKCCLCZ46cAkTdVdnucy9i9ddVYn5VG9xMkDGsiqbMUAIIQQwgo5sy2Zv3aZbNpC1G+QloOR6QAADqz0yWa4/H93bzlwOTe838e93G9lezWo6116owrg7p++GjZy9oCIx5vmpV7v26CFVdYCgDkYkxfPsQf2ECKxeMQYsklzhBCCn7kDABxZKVmUvvH7oC5TDzLeImVsg+mtH41/7Qv5yJXbliXWrvQ5Y6m6g6bVKbr699rUW2GdE2C+OlBVcGEBu3kjdfsG0ayl+M1BhJtb6W0AAMDuWXyKHudsmDUnvfNf1+8u7+lKIKr2tF0n59fcPX7q2soLgHt0eM2KFf87cI9DCBFuNZu1bRuYeeaWGp7cB9aHMXfmJL3kG5ydyQ0cJhryNmR3AIDTsHgGz1w8diZw0Pb+4eKd+gLSu+XEz0f93vMIQqPLtnwm48x5rnlMpFT/EhdeXL901cGbxdKaMUMnjo0NFVE1O40a1wkhpD3/xzLFwEmd67Zo5PFPrgYhONICqyoqZHZv5W/fJJu2EPVLpDF8pwQAOBXLl+gpitJpNC89asSplBqJtIxL12XsW7X8XJuf2kRKCYQQVp1Z/evpoMlLZjd4um3+/N/2N5zXI5B4VlfaqH3wLz99m+aGcHjf9/2eFavV6r179+r/f/ny5Tt37pw6daqk1REE0a1bt7Aw8/N/6GfzpGmaZVlDCcuyWu2LUXk5jtPpdARBCFsJK7Asi1/OBEYVMMYcxxk14ThOOJeoURPTMFiWJQjCEKdpE/0CjUq0Wq3lyPXhlStynuc5jit75PoOJEmypCYldaAhcoZhEELCJgzDEARR3g40/GumCcb8udPk/t28WIKGjOKiGnMIcTpdqZu+CjqQZdnydqDRpjcNo/I7ECGO4zDG5d13kN10YLn2nbJ0oGnkqLQONGpijYOPPmajklfswAocfPQdWN5Nry8se+SvfvCpsn3HqERfv6TNpFark5OTaZoWvjWGYcRisSHsnJwcZA6BLZy44KIdoxuPfTx111+1f2yaPCBjQ7f7KZ8Mf29b83WP/9e7xFbP2uYe/P6L1WefKLimE/73eTcvAiFEn/1x7Nbaixb0DSKQ+vh34/c1+3legg9haTFPnjzp3fvZuvz9/U+ePKlQKCzUnzt37tSpU0uJDVRjpLxYtncH9fA+06CRtmtP5OJq64gAAKBEJ0+e7Nevn4VMTRBETEzMiRMnTP9k8Qye8O6zcPWYfsPaRchJTnKgjr/iiSao2382LO5VelBEYPxHy+KZs0vGpD4vwgVZT8jQWP3JuTQ0zDcvK4dHPhafpwsMDDx06JD+/xs2bJg9e3bTpk1LqkySpJeXV0l/ZVm2uLjYy8tLJBIZShiGcXFxMdRRqVQuLi7CL0oKhcLD48U4JzqdDiEklUpLqoAxVqlU7u7uhhKtVkuSpEQiKamJ/ounq+uLTKNWqyUSiSFO0yYMw3AcJ5O9+C2hUql0c3MTfokub+Q8z2s0GjfBTWitVktRlOF7omkTsx0ok8koiiqpCU3TGGOjMNzd3Q2Ra7ValUrl5/divgP9aU25OlCj0YjFYuMOdHfnzp7idm8jpFI07B2qfpSfoANffdNXSgeq1WqpVFquDjTa9KafwErrQEETlUrFsqxwd6uUDlSr1Ub7TqkdSNO00b5TagfyPF/efafUDtRqtcJNX2oHMgzDsqy1Dz7FxcUURQlLynLwsdyBVXPw0Wg0IpGoig8+VbPvmHZgfn6+q6ur8L0Im/Tp0yc3N5dlWWEYSqXSECfHcfPnz0fmlPIUPRHY9dvjd8efP5127WER5V+nVfv2jQIq+gA91uloqYtM35eEi6uUlutKu+9JkqTn8yFCZTKZp6enr69vxVav34oEQRg2p6HEqJppifD/GGMLFcyWlLpMGzap+jDMduArbpRSmxBFhezGP/m7t8imLUT9E1mxBLGsU3agaRNrhFGJa3mVMKqmiZ2EUdKmRy8ry2aq4sitsUzH3Xcq0ESf7IVfTUQikSEzchwn/D4hZPkhu+MLhh2NXf9J++hutaKfleGnO+dMv/fNXxW4DE5IpRI6T6vP6VijoSVSqfFH0ZKMjIzLly/v378fIRQZGTl48ODyxwCqH4y5k0fFe3ZgVzfx6PfJho0QQohhbB0WAABU3PHjx/WX5THG2dnZZuuYT/C4+MKmVf9k6tKTdv978wfpGUEt9vHev/bU+KYi8RC+ocH8uewijPwJROdkFwY0DirPNHX37t1LSUnR34OPjIxMTEw0/a4KgBB+msemrOfv38XNW0n6JyKZS+ltAADA7i1fvnz9+vUIIYIg2rY1P6h2CQlefefYjm3pdH4mk0fv3HZPkEYJUtZxzviKBSRuHNNiRdK+u/FDaxUd2X89Imakd3kSdMeOHSdNmtSyZcuKrR1ULxhzZ06yu7YQUpl41HvKsAgXyO4AAGexbt26devWIYQ4jps5c6bZOuYTPBmSuPRQIqIPzkk40GXvN/ESs7XKjXCLHjsj45elH36gFQVEj5vWPRBOwIE1EPlP+R0pOOMh9XqMqFc/JJPBuLMAgOrG4j14Sfw3h+Kfv8CMUsm5esjKc1EdiaOn/xUteE24Rw2cs2RgOYN8hmVZhUJRWFiIEHJzcxM+UgjAMzzPHT9M7tuN3D3E735A1mto64AAAKDy8TxfXFyMEOI4Tvize6GS0jX/9NTvHw4f+fMFFiGEi08t7FXHy9PLKzCq16d7MrkSGlnZiRMn+vTp4+vr6+vrGxERYZsggB3DeTnM8h/Z1O24WSty8kzI7gChIlGiAAAgAElEQVQAZzVw4EB9NgwMDLxw4YLZOubP4OVHZnZKWKFrN+IzVwIh7Yl5b889HTrpvz+0UaQu+nzw8MC0w1PrWTNy8+rXrz9jxoyQkBCEUHh4eNUHAOyX/o77zi2Eu7v43QnaGuEILvAAAJzX3LlzExISEEIY42PHjpmtYz7Bb/rmD807m9OWdfMmENL9sy4po/lHOxaNjqJQ35bM1eZrU9DUOVYMvAQhISFNmjSBh+yAEZzzhEpZz2Y9pqJjRL36I6kUqdW2DgoAAKyoZcuW+mzIcdzNmzfN1jGf4M+n+/ac01n/iDt7+dCR/NdG9KtPIYQQGdGyhe83N6wUMQDlw/Pc0UPc/lTC3UM8diJZt76tAwIAAHthPsGrtC6+rvon3PmHRw7fr9GxU93n4/8Jh1KsWvCQHRDCOdlM0jqcmUG+3oaJT5B6+9g6IgAAqCIcx8nlclSBh+zq1sw8dTqDRwjxD3Zuu+TRoXPzZ+PT8g/Pn8+LsMENePTyQ3ZwD75a43nu8AH650VIrRK/N4nsl4jF8G0PAFCNvPXWWxV8yG7o282+n9tvxNNRzXI3Lz7t03dOJ1eEMFN0c8/C8d9ebjF7lTXDLpHwITt4ir7awk+yxBv+ZHOyqbaxoh59kFginFMSAACqg3nz5vXs2RNV4CG7BlM2JMunfb722z1yv5hPVi/o4Y6QNmVYyOCtrs3H/pEyuYEVoy4ZPGRX3XEcd3g/e/BvwstbPH4KWauOrQMCAADbaNasWbNmzVAFHrJDorCEL1ISvhAWSTr85+9zi5q3iPS01T14UJ3hJ1lM8nqcmUFFx2g6dpUJ5pMFAABgqpTpYgXI4KaxwVaMBIAS8Dw6cYQ+uJfw9hGPm0zWroth3FkAAChN2RO87RUWFqalpRUUFCCE/P39mzdvbuuIgNXhrMfEprU49wnVvpOoWy8kFts6IgAAsL0HDx7cuXMHIcTzvLyEcx5HSvDp6emG6WJ9fHzy8/NhulhnxnHswb+5w/uRjx8aO1FUxza/3QAAADs0ceLE1NRUVIHpYu1TdHT0gAEDGjVqhBDy8vKC7O7EcHYWk7QWZ2dS0TFs156kVGbriAAAwI4kJSXl5OQghHieX7Jkidk6jpTgXVxcQkNDa9eubetAgDWxrOTYIfrsSSIgUDzhQ7JmBKvV2jomAACwL25ubvpsyHGcVCo1W8eREjxwevjxIyJprTQvl4qNF3VNQCK44w4AABUECR7YB5ZlD+zhjhxE/oHq4WN8Xmtq64AAAMCxQYIHtoezMpmUdfhJNhUbx3aI4+CaPAAAvDJHSvAZGRmXL1/ev3+/UXnr1q3j4+NtEhJ4VSwjOrSPOXOcCAyWTJpB1AiHO+4AAGDWjRs3tm/fjhDS6XSG++4Y4+zsbLP1HSnBP3r0aPfu3RqNxqi8b9++kOAdEf/oAZu8jsp/SnXuJorvjiiq9DYAAFBd/fPPP9999x1CCGNs+B0ZQRBNmjQxW9+REny7du3ef/99GIveGbAMu38Pd/QQERjMjBonqd8QwY8eHQ1N0/q5m/XUarVOpxPOJq1UKoXzANE0jRASzvJsVIHneY1GI5z4UqvVikQikUhUUhOO43Q6nX7JhjCkUikl+LJo1IRhGI7jtIILRSqVimEY4c9ujZro35dYMMiS2TAYhjGUaDQaiURiIQyWZRmG0el0wshL7UCMsfB5aaMKGGO1Wi3sQLlcTlGUsOTVO5BlWZZly9uBBEFY3vRardaoA8ViseVNT9O0UQdqtVrLm57neaMOZFnWELm+A2UymdheB9T64IMPPvjgA4SQXC739PTUF3IcN3PmTLP1HSnBAyeR8ZDenoLz86jYOFG3XlqVytYBgYrYsWPH48ePbR0FAJWsWbNm/fv3t3UUlQMSPKhCDI337CBOHUMhNSRTZhIhNWwdEKg4mqbr1q1b0hBaADii/fv3C68KODpI8KCK8PfvsinrUWEB6txV0qUH3HF3Ah4eHjDwFHAmLi4utg6hMkGCB9bHMOyBPdzRQ0RQMDF+Ch8UAtkdAACsDRI8sC4i4yGduh0X5uvvuNMch3je1kEBAIDzc6QEr9FosrKyvL29EUJeXl5+fn62jghYxDDsgT2SIwdRcKhk0gwiNAwhhAQPtQIAAKgYlUplmGympOcGHCnBnz179uOPP4bpYh0C/+Aem7wOFxawbdq79RkA1+QBAKASJSYmOtV0sU2bNo2JialVqxZCKCAgALK7nWJodt9+7shBMrym+O33dC6ukN0BAKByLV269M6dOwghnueTkpLM1nGkBO/j49OkSRMY6MaeEffvcru3YoVC1KMP1SEOkSSSy20dFAAAOJvIyMjIyEiEEMdxe/fuNVvHkRI8sGs6Hbt7m+jsSRRWU/LuB0RAkK0DAgCAao0svQoApeFv3aB/WMClneXjulPjp0B2r/aYzEM/jk9oXtPXVerqHVK/7aCP11wows//yudc+ntvWla5nrfkbnwb7dp47gW29KovKeu6uPubxrcJ8/Ts/PP9kn/lQR+aEOYStxTG7wOOARI8eCWETsdu2cj8bznh5S2Z9jHXNhaR8KGq5vDTXRNie3xykOo6c+mm7cn//WZ864KN42PjPzv9bFRi5sz3iQO+PmI8bZRVlHFdbNrvn6/J77Zs/x/DasAHGDgJuEQPKg7fukFuS+LUalGvflT7ToggkFJp66CArfGPN/2wNiv66/TtH9bTH2B6vTWse1D71t98uXHi7neDK/JwLKNWM6XXegW8olhO1o7pGl3XHx7eBc4CvquCCtFq2JT1/JoVyNtHMn0W1aEzTAcHnuFzs3I4SUhYkOD0QRI1ZM4nH3QK5TB/b0l7zzfXyjVbh3nIElbmYoTzT/86rnODQHdX7xpNe05dfUmuv5bPHJkS4TF4481ts3o2rpmw7CGPEKLvbpnZo1Ggm4t7SNO+s7fcMfz61+xCTNaFC04vG9+lUYinTOLiG9F6wH92PWQQwvmrenp2+S1bs29csLTt4jt8iSEB4FAgwYNy429ep5d8y11KI7v35t5+j/ALsHVEwJ6I6raJDlBt+2jQ7NX/3Cp8duJN1en/2aKPe9QgyYjxO++sGegh67Hs7qONIwLo9IV9u3980HPwwvUp/5sbp940Ln7g8tvPb5mzV354d8GjdrNXLk6sQSLuwYpxk49FjPt53Z+LhwemfT8kYfq+IowQ0plfiNG6/PM2vd936i6y34L1u1JTfhwTenHhsAl/ZWPCd+j6O8lvB8k6Lrr8aPeEWozFkABwGI50iZ5lWZVKVVxcXLHmGGOEkFKpFM7+y/O8cBJijuO4l4da4zhOuEae5xFCwmGDWJY1CsmoCcdxBEFoNJqSKujDEM7ZzHGc0fzKpk0wxsJZnDmOk7/8gzSzTYSzOBtVMPtmCYIQhsGrVerUbdSlNBxWkx7yNu/jhxmGefnNCudXLikM0w40NNH3sGmfl6sDeZ6nabq8HWg5cn0YFjpQH4blDjQbhtEnsCybXtiBpW56fRiWOxBjXK4O5DhOv0OZ49V7cfJC3aTvloyJW0h51GwRGxffpUf/xL7RoVKEEOXqE+gtIwjOOzDQW1qYvGDRxfqfnEmZ20SMEOrZpY6uWe9vfzo29tdOBEKIuSvul772o/oU4m4cQlgr7bFm9/KBfgRC/fo0p1rG/vpD8tyuY112lLgQwbpk7L9PRa3Hf//7V0PCSYRQ59qZu1quuvGQRSEy70AfV5KQegUE+bgUlRxSCW8YOBOGYQwf9ao5+CCEtFqt0eGo7Acf07Rl4EgJPi8v7/Hjx9evX0cIhYWF9ezZs1zNWZYtKipyd3cXiUSGEpqmXV1dDXWUSqWrqyspeExMLpd7enoaXup0OoyxTCYrqQLGWKlUenh4GEo0Gg1FURKJpKQmHMdptVo3NzdDiUqlkkqlhjhNmzAMw7KscOIjhULh7u4u/FSZRo4QkkqlJVXgeV6tVru7uwsjF4lEYrH4WYXrV5jNG5FOK+r7FhXTQUYQZjvQxcWFEoxsY7QWmqZ5njfqQA8PD0PkWq1WqVR6eXkZKmi1WpIky9WBarVaIpGUqwPLsulfsQNNm5h2oEqlkslk5epAo01v+gm0RgcKvyibIvzafrj+wuTCO+eOHDp06OCBv3+fufq7OXUGLdv51+iGEmFNJu3gEUXddzoFyfPz9SVNOrfzXHXxQgbfqSZCiIpoH1vb0BmER5fEXn7PVit7fdTwpj8uOfUvM0pc8kLqCFYmajZpfSpCiFXm3L97+/q5pB13ONzJOHhLIYWX9I6B8xCLxYbjT9UcfJ4+fSqTyYQlZTn43L59Oy0tDSGEMc5//lk14kgJ/tatWykpKfqhaoODg7Ozs20dUbWhUbM7tnAXzvIRtWRD3iZ8YRYAYAHmeUyQpNinbtt+ddv2GzcX6TL2fz1iyIJpH3VP2DkmRPDFQJebU0Rf/rZD0LfCBYheK5Lrf6tGBoYEvPjORfqHCG7sk8E1ggi1XMHqWMsLMWAe7po35ZM/9l8rEgfVatikPuVm5jtKaSEBYBe+/vrrrVu3IotD1TrSPfh27drt3LmzoKCgoKDg0aNHtg6nuuBvXKOXfMtdviTq0ZcZPgayO7CMTZ/XwjVyymHhU+/S8K5z5/T3VV9Jv/Py79gl7u5SadzSxxwWYi5/2eJZIicIwTGKf/okV3AtNC/nKfIO8BWVupBn9e8te3vIjxkdfjqRWVyUeeNM6o+DIs0MolzGpQFgWykpKfpsmJubW9IAr46U4EUikYeHh4+Pj4+Pj/CyJ7ASQqvF25OZVb8Rvn6S6bOoTl3gUXlQKlGt5k09sneuSc0VnvHSt9LS5ZL6UbVfTqniFm1biy7s2ffkeV3mypI+TeO+Pmf2R3FYcSB5T8GzW/+6i3+uveTSNraFuIwLYa6mpbMt3v4osUWQjEAIae7ffmzmzmX5QgLARkiS9HlOeEdACL6TAvP4q+nElk2YoUX9E6k32kFqB2Xl0fvzb3t2fH9om8zR7w1sW89fSufdOrp+2aprDT/cO1w/igxJUlxG+ql/32jRaOjs0T/2nt5r9JPpg6KDlWdXfD7/ROjX3zYXI2QmoeK8jeP6+DyZ0SO04OjyeT/cbTxrZT8/gvQteSGCdTWt/VoDYsua7/5qPu41Ucap9QsXr8vjJPeu3CloEeX74uNNhpW8NNo0JADsFyR4YAyrVez2FP5SGqpTn+yfSAUE2joi4FhEdd9NOhn+64Ila3+bs+aJnJX61Xyt/ZBlh+aMjtY/gShu3W9wVOqPvTvdXHl788gf9m3x//iL36cO+hL51Xn9zSV7vxzX2PwFOknn//wed+uXRe/+N9+ldsv4eTu++/gNF4QQ4d2lxIUI17V21f8yp3w5q+86Prhxx6Gf7v/nweQ+s6Ym/tD04lfNX6zF0tIAcCSQ4MFL+OtX2C2bMK0TDRhCN2lOwq0QUBHSiG4zfu82o4S/ksH9l1/qv/z5y4ien2/q+blJLXHHnx+++HkS1XD2WeVshBAa/qmZRYpLWIjRuob+tH/oT4K/7s2c/Ox/8cuz1KUuTRK37HGVDLALQGWABA+ewSoVtXUTczWdrB8lfmsI4e2DNHAsAwAARwUJHiCEEJ9+kdueQjCMaOBQqnUbuOMOAACODhJ8dYeVCnZ7Cp9+kajXkO3RV1YjzNYRAQAAqASQ4Ks1Pv0iuy0Zc5xowBCi9Rs0XJMHAABnAQm+msJKhShlPXPzGtmwsXjAEMLLSz/cMQAAAOcACb464i+dZ7dvJnlelDiCahVt63AAAABUPkjw1QtWKtitSfyVf8mGjZhuveGOOwAAOCtI8NXJlX+ZXVsx5kUDhlBvtNW8PMcoAAAAZ+JICb6wsDAtLa2goAAhFBYW1rBhQ1tH5DCwQo62bETXrhDP77jbOiIAAAAVl52dffXqVYQQz/PyEs7WHCnBp6enG6aL9fLyKioqsnVEjoFPv8huTUKYR30HitvF2jocAAAAr2rMmDF79+5FFqeLdaQE37Jly27dutWrVw8hFBAQYOtwHABWyNmtSfzVdDLqNdy7P/LwtHVEAAAAKsG6devu37+PEOJ5fuXKlWbrOFKC9/DwqF+/fkkT3wIj1PUr9N4dCCP9HXedTmfriAAAAFQOX19fX19fhBDHcW5ubmbrOFKCB2WEi4vYzRtFN6+RTVuI3hxIuHvYOiIAAABVDRK8c8GYO3ea3b2NEInYt4a6RcfYOiAAAAC2AQneeWB5Mbs1ib9+hWzaQtRvkJaDkekAAKD6ggTvFDAmL5xjDu0lRGLxyHfJ15ohhBD8zB0AAKox0tYBgFeFCwuY/y4TpW4jG74mnvHJs+wOAHAkuPDML6M7RtUM8vcLrNN25MLDOZV5BY49O7tJxyX3rHNRjzk2rX635Vm4DGH8+0Xr9otuc2YCe7EQPnvL+BaRUZP3mE59pTu+cPRP51jzCy9c82atDw7SRmu05hu3f3AG78gw5s6eYndvJcQSduAw19ZvEDCPOwCOSLHno0E/sQt2Xx3ewF17f9fsgcPH+p/ePibc0ikYz/MkaetzNI6miWZTNy5x8X+1Y4/IsBA6bceOWgtu/dLDxaQS+/jsnrQoDhJXWdn60wEqrKiQWbmU3bKRbNBIPOMTvmFjWwcEAKgg7mHaJV27xLcaeBCIcKnV+5N5Y4LUuTxCOPfgl/1a1Q2vEVKjYZdZu7J4hBB7YW7zmBHvta8VGuQX0XXeluRPejStFRoc9dbyKzRChWv6RQ2cMrx5qJ9faKOec/dmcS+vis3a/8WbzWuFBIW3HLTwWP5L590ltDXThD07u1nf7/6c1q7um388Sl86YvrWpxghpLm5flLnhmHBYfXbvbvikhwjhBAuOLV4cMvwoNAGHd5bfV1bQg+wV5aOmL71KfdozbszduYfnhv/0d+al9ebe2P523MPFuyeFv+fI7SZbkEI8flH5ifUC/ALadj94x2PmLK/cWcFX4QcEMb4zAny791YJhO/M46Meg0hhBQKW4cFQClwUSF+9MDWUVgXUbtuBX6YSkXGtHFf9GFi8OOxA3p0bh0Z1Hv+SoQQ4q6tnLPKY87J+wODilPfj/lyzegecxoihJjL1/z3pWe3yvi6Q6vRy785deZe+MnJrT9YdX7s91GIe7DzUJftaU/iicMf93hn2muXNg3xeb4i/v6Kd8ae6LY9fdtryj1Tuo74sMG/q9/0fnHybaat3wMzTdwR0h35Y0/PzRcXN3M7+5G+MXvxuyGzHrz3960P6jxZ/06XxM+j0pd0YA/OHfG75KvDDwf5XvyqV7f1fGtLHUHWHPXfxQcPru17bHHXrGUJwvXObPDvmq8O1k0ddXB++zsLYsx0C5+7Y5ti5/GsTvw/H/d8e1Kj17e/YxgQrbQ37pwgwTsYXJDPJq/H926j5q0k/QYhF1dbRwRAWeFHD5h1q2wdhXWJx02uyMgT7l2WHNm1+rfV2+cPmjVEFdK2/4QvvpncIYCqN3nPRZGPN6l9mlvMIKVcoT/xFEX1H/6GF0HJmjfyiWk3IsqFQM1b1dOdUmKEEBK3+2BWtxAxibp8OqVFw6T98iGJz1bDZ+/ZcrP7xzubexDIo/uH74R1+fsC82acRBC/cdvEjuaaxCJEBvaZ+G4zbxF6fqbM3d6TKu+3cGwjVwLVHvzR0O/e3pXOvlG4aXvg2H8S68goFDN9es+lP5SxR8yG+myk7ZK6RdJh4uwuQWICdf10Sqv6W/YXjhpW5jfulCDBOw79HfddWwmplBwxhq3bALmY3qQCwH6RjZtKv/jW1lFYmVRWsXaSsNhxX8WO+wrReZf3rpg9qd9oj/QdY3we7pw9ZeG+R1Rw/ToEjYOfVSakMilCCBEEQbq4uhAI4RcP4BAuYeEBJEIIEZ4RNT3ycwsNz5jxOdk5hTuntmnxLEgipPvLl6pN27IlNaGCw0IoYVs+P68oKDxUX0aF1gwuPPOUp4ueqmt0CdMXukXUCnqpiQUWQ2XMdgvhHh7uSzwLPsKruECOy7Q05wUJ3jEQRYXMxjX83dtk0xbi/oMZsRixJTxLCoDdoii45mRWwere9XePvJc82BMhSUCTvrO+PLNh4MXbTOaNDz999NahKxMbuPL3lnTul1uWhWFNZmY+RqEEwsrHj+XeMV4EetaQ9PXzDRr05ZmfO0oQQurH6bdxXYnltlSJTUjy5SvcpI+/V17mEw7VpxDinjzO9fLzJSSiAPesR5kcqkchROdk5/N+ZesSs6GeWI4QQnzmn2a7BSszMwsxCiIQVmQ8Vvp38CHL/MadEzxkZ/cw5o4fFv/+M36aJx7zvnj4aOQKh0gAnIp3576tj30zZ/NNOYcQW3Q9aenm4nZxTUW0VifyrxHogri8Y/9NTtcwbFnOO5njyxcdyuPYvMPf/HS+w1tdX9xqJsO79fTf/t1v/yp4vvDE/AH9frnCl9KWKrXJc1T9hATXrT+suaVFzKMtP6xXde3VTCx5o0+XjD8WbH1I84oLvyzZUVjWX6yZDxVzNM2jkrqFPrJs0eGnHJt76Jufzrfv19mzlKU5PUjwdg0/zWN++4ndtRW/1kzy4RyyQSNbRwQAqHxkxNg/k0eqfuxd19fTO6TJoJXU5JSf+/lSkcPnjsic1aJhs5jhG0MTB5B/TVpQ0s/AXyB84jqTizrVCmv2QXrXFb8MCxacaFONpq39vuHOwY3CaracdLP/qm8T3EtrW1qTF8St5mxcELquT/0ateOXiGYmfdXRBSGv3os3jlV+3SEivPWUe33Hx5b5vNnMeqX1W9U7OqXtJw8Gme0WqlZC2yefxtQMazX11pt//VauN+6ksONYvXp1WlpahZszDJOXl8cwjLBEpVIJ6ygUCo7jhCXFxcXCl1qtVqPRWKjA87xcLheWqNVqnU5noQnLskqlUliiVCoZmmZPn9DOnaGb/yl37bJRE5qm1Wq1sEQul/M8bzlyrVZroQLHcQqFwihymqYtNDHbgSzLWmii0+lMO1AYuUajycvLE1bQaDTl7UCVSiXc0KZNTDuwLJu+CjpQqVSWtwONNr3pJ9AaHahQKJYuXbpt2zYM7EzB6j7hY/fqSq9YyW2dw5o1azZs2GB4WTUHn7y8PKOSch18WJadPn262bcD9+DtEZH/lN+5GWc8pKJjRD37IZkMxp0FAABQLpDg7QzPc8f+ofanIncP8bsTyHoNbB0QAMCRuHf5bHXLSHGVtwV2CBK8HcG5OWzyOj7jIW71BtXzTdLNzdYRAQAcjLhG67gaNmgL7JC9PWSH8w4vXXFcXh1+ofgSnueOH6Z/XoQVcvHYiVzPN5FUauuYAAAAODD7OoPnsvZt2H65KIErvaozyX1CJa9nsx5T0TGiXv2RVIpUKlvHBAAAwLHZU4JnH+7enNuuT9Q+pvS6ToLnuaOH2P2phIen+L2JZJ36tg4IAACAk7B5guceHV679xZXu8vQWhe2q7qMayJfsa/I1kFVCZyTzSStw5kZ5OttmPgEqbdP6W0AAACAsrF2gmcyzpznmsdEPruhjAsvrl+66uDNYmnNmKETx8aGiqianUaN64QQLj5/hn2865cfC27fZtbsbzi5W0RZxyx2PDzPHT7A7k8lPL3E703CkbWxtqRJFAEAAICKsG6C12XsW7X8XJuf2kRKCYQQVp1Z/evpoMlLZjd4um3+/N/2N5zXI/DZWEOEV+uhH7ZGiDnz8+KikV2fZ3etVnv8+HH9/2/dupWTk3Pjxg0La4yNjQ0ICDD7J47jEEI0Tev/oy9hWVan0wnr0DT9YtYGhHieF1ZgGAYhJCwxqoAx5jhOWMKyrH4ckmevn2SLt2xkc7JRm/a4SwIjlvA0bdREH4YhTtO1cBxn2kSn05UauVBZIscY8zxfUpOSOpAkyZKa6Jdp2oGGyFmWRS/3MMuyBEG86ECTZfI8bxo5er7FS4rcbJ87YgcabXqzYVijAxEAzkj4Ua+ag4++VUlpRafT7d69m2VZinpx0kvTtEQiMVTOz883+16sluBx7sHvv1h99omCa9rmeRlz9fTFwK6LmnmJCK+ePaO277tQlJDg8/J8BeI3pswRvCwqKpo9e7b+//7+/idPnlRYnPh8zpw5H374oYUKarXaqISmaeFL0+O46Rq1L59wm1YwHyTHSc+ckJw+hjy91EPf4WqEI60OaXVmwzB6aXaZRh8RpVL56pGbvv1Sl/nqHViWyMsbRgU6sFI2/at3YFkit4cOFB71AHAaLMta3n2scfDR6XRGJYYmR48eHTZsGCoZQRAxMTFm/2S1BE8Exn+0LJ45u2RM6vMiXJD1hAyN9SMQQkgaGuabl5XDIx+LV+IDAwMPHTqk//+GDRtmz57dtGlTC/W9vLyEZz9CLMsWFxd7eXmJRCJDCcMwLoJJV1UqlYuLi3AJCoXCw+PF7M76bSAV/IbNqIJ+qEJ39xfjHGu1WpIkxQVP2eT1OOsxFR1Dd+zq7etrqKD/NucqmEJGrVZLJBJDnKZrYRiG4ziZ7MXElEql0s3NTXgCWt7IeZ7XaDRugh/fa7VaiqLEYnFJTcx2oEwmE37TNGqiH7rVKAx3d3dD5FqtVqVS+fm9mHJKf3pq+LpqukzTDtRoNGKxuFwd+OqbvlI6UK1WS6XScnWg0aY3/QRaowNVKpXwwwaA05BIJIbjT9UcfPLz811dXYXHAWGT/v37P3nyBGMsDEOpVBr2cY7j5s+fb/a9VOVDdlino6UuMv1RgXBxldJyXWnnACRJeno+mxJIJpN5enr6ClJjueiPRwRBGA5MhhKjaqYlwv9jjC1UMFPCccTJo8zBvYS3j3jcZLJ2XSyXGy2zAmFUVpOqD8NsB77iRrFhk6oPw3IHmjaxRhgAODGjvcPme723tzd6+exCJBIZMiPHccLvE0JVmeAJqVRC52n1OR1rNLREKi3PESM7O/vBgwfnz59HCIWFhfXs2dMaUcoALRoAAA92SURBVFYunJlBbPoL5+VSHTqLuvZEYhgFEjiPrKysAwcO2DoKACpNQUFBcHCwraMok7S0tLS0NIQQxjg3N9dsnSpN8L6hwfy57CKM/AlE52QXBjQOKs9Ierdu3UpJSdHfmQgJCcnMzLTrUwqOYw/u5f7ZT/j5o7GTRHXq2jogACpTcHBwRkbG1atX9S95nje6O2ZUor9nL9xnX72JaQXTyxtVEEalRG6NMPQPeBqVGDUx6rFq3oEY49DQUOQIFixYsGXLFoQQQRBt27Y1W6dKfwcvbhzTYkXSvrvxQ2sVHdl/PSJmpHd5EnTHjh0nTZrUsmVLqwVYaXB2JpO0Dj/JomLjmPadKKms9DYAOJS4uDj9lUM9pVLp6uoqPFzK5XLDVURk7iEGowo8z6tUKuHdSo1GIxKJhA8xGDXRP3ssfO7B9CkQoyb636cY3e8UPgVi2kT/GI3wDqhRBY7jNBqN8LkH08dojJowDMMwjPDebVk6EGMsvHdrVAFjrFQqhR1YVFREUZSwxDRyrVZbrg5kGIZl2fJ2IEEQlje9Wq026kCxWGx509M0bdSBLi4uljc9z/NGHejh4WGI3LQD7dnmzZv1/+E4bubMmWbrVGmCJ9yix87I+GXphx9oRQHR46Z1D7TjE/CK4jjq5FH6yAHCP1AyYToRHsFoNLaOCQAAQLVj5QQvjp7+V7TgNeEeNXDOkoHWXant4KxMJnkt9SSbio0Tde2JSnjwAQAAALA2e5tNzpIjR4506tRJ/7RhRESEff0Ml2XY/XvoXxcjjmdHvy/q0ReyOwAAACsZMmSIPhuKxeKzZ8+areNISah+/fozZswICQlBCAUGBtrPE3b8o4ds8lr8NI+KjaO69NDBuLMAAACsaerUqXFxcQghjPGxY8fM1nGkBB8SEtKkSRP7esiOYUSH/mbOnCCCgiWTZhA1wu3rugIAAABnFBMTox/AjuO4mzdvmq3jSAne3vAP77PJ66iCfCqumyiuO6Kcd3YcAAAAjgYSfIUwDHtgD3f0EBEYzLwzXlq/oa0DAgAAAF7iqA/Z1axZ02YXwzMe0j99xx37h4qNk0yZyQc7xqgIAAAAnMbgwYOd9iG7oKAgGzxkx9Bozw7i9HEUGiaZPJMIgdQOAADABqZPnx4fH4/gIbtKwd+/wyZvQMWFKK67pEsCKmHOOgAAAMDa2rRp06ZNGwQP2b0q/R33IweJ4FD03iQcHArZHQAAgJ2DBF8KIuMhnbodF+ZTHeNF3XrpWBbBD+EAAADYPUdK8IWFhWlpaQUFBQihGjVqREVFWXd9tI5N3SE5fRyF1ZS8/TERFIIQQixr3ZUCAAAApcnKyrp27RpCiOd5uVxuto4jJfj09HTDdLFeXl5FRUXWWxd/9zabsh7L5Vznbq5de8A1eQAAAPZj7Nixe/bsQfYzXewratmyZbdu3erVq4cQCgwMtNZqGJo9tI87cpAMryke/b5C5gLZHQAAgF1Zu3bt/fv3EUI8z69cudJsHUdK8B4eHvXr17fqU/TEvTts6jasUIh69KU6dEYkiUq49AEAAADYiq+vr6+vL0KI4zg3NzezdRwpwVuXVsumbhedPUnUjBS/+wEREGTrgAAAAICKgwSPEEL8rRvs5g1YpeTjuovjuhEw0ysAAAAHV90zGaHTsXt3cGdPkTUjxWMnqFzc4I47AAAAJ+BICT47O/vBgwfnz583Km/SpIl+1rzywmoVuXwJp1aLeven2nVEBIGUykoIFAAAAKhs9+7dO3DgAEJIq9XKZDJ9IcY4NzfXbH1HSvC3bt0y/ExOaNCgQRVL8ISrG46OkbZoTfgFVEaAAAAAgLXs2LFj+vTpRoUWfibnSJejO3bsePjwYWwiKSmpwsvk23aE7A4AAMD+TZs2TZ/1iouLDRmQYZjo6Giz9R0pwQMAAACgjCDBAwAAAE4IEjwAAADghCDBAwAAAE4IEjwAAADghBzpZ3IsyyoUisLCQoSQTCZzcXGxdUQAAACADTAMo1QqEUIcx7ElzGPuSGfwJ06c6NOnj36E/fDwcIyxrSMCAAAAbGDAgAH6bBgYGHjhwgWzdRzpDL5Ro0ZffPFFeHg4QigkJIQgCFtHBAAAANjAwoUL3377bYQQz/P6ieFNOVKCDwgIaNKkiVWniwUAAADsX1RUVFRUFEKI47gzZ86YreNIl+gBAAAAUEaQ4AEAAAAnBAkeAAAAcEKQ4AEAAAAnBAkeAAAAcEKQ4AEAAAAn5Eg/k+M47tKlS3K5vMJLYBhGLBYLS3ieJ0mypJf6lVIUJayAEBLWMapgtglBEMJf7Zs2MQ2jvE1KDUM/c7DlJvYQBs/zHMcJN5M1OtA0jFI3vX5gJWtvx7KEUWrkVRAGz/MYY6OSUpuUGkZ5m1RsO5a6I1TKLvzq2/HVDz4syxIEISx59chN65SlA0uN3Cb7TqnLtMZebxoGwzAURVkIzHIY+mMmModwoPHgrly5kpaWVuHmCoXi0qVLzZs39/Dw0JdgjHmeN/r0kyQp7EeWZUWiF1+DTD+pRhVMl1mBJhUIw0qRG31SrRS5cAnZ2dl37txp3769YSHW6ECzu7pzdKBpiTU68Pbt23K5vFWrVq8Suf10oFGTKujAqjn4XLp0ycXFpUGDBlYNw6E3vVEerYKjt+nB58SJE5GRkTVq1Ch75EYVwsPD4+LikAlHSvCv6OrVq6NGjVqzZk3jxo1tHQso0ZYtWxYsWHD69GnhxxfYmwULFqSnp2/cuNHWgQBLRo0aFRkZOW/ePFsHAix54403pk6dOmzYsEpfMtyDBwAAAJwQJHgAAADACVWjS/Q0Tefl5QUEBEgkElvHAkqkUqmKiopCQ0NhMiF7VlRURNN0YGCgrQMBluTm5opEIl9fX1sHAizJysry9PR0d3ev9CVXowQPAAAAVB9wiR4AAABwQtXkQWVceHH90lUHbxZLa8YMnTg2NrSavG8HQGccWrls46lHapF33dgR74+MCRYh/GTbrAn/u8EihBAi/XvN/2N8E6qU5QBrMr9FYLeyK3zm5o8nrbn14gfRoibjV3zVyy8H9ia7wWScOc81j4mU6l+a3YMqdbfC1QCvPPXDmEkrLhYx6jvJc0b9JzWHt3VIQI/P2jpr5KcptxUcV3xlzYwRn6Xm8Rgz6cvfm/d3gY6maZpmGBY2l62Z2yKwW9kbnmMZWk9XeObX6V8fgL3Jrmgf7Zo36vO/i55tArN7UOXuVtXiEj1z9fTFwK59m3mJXOr07Bl1/9SFInjwwD5ob13LiOrao647SXo2SogNe3DrAYewJicPBYV4SsRisVgsElHwtJ2Nmd0isFvZG4KkRGKxWCwW4/s7UvLix3T2J2Bvsg849+DiCWNn/PeC4kWZ2T2ocner6nBNDRdkPSFDY/0IhBCShob55mXl8MgHrlLZAVmbyb+2lrkihBBW3rubFxAeRCI+LyePvvbX9DFZBcivUdcxHwxp5gNHJVsyt0UQ7Fb2CuceWH+p0dBvg0lkftvB3lTliMD4j5bFM2eXjEl9XmQ2MWHvSt2tqsMZPNbpaKmLTP+hJlxcpbROB6ca9oGQevi4iRHWZhxbOX/F/TdGdA8jEWKkQVFtBn/2+1+rvhvqdfyHFUfh1NDGzGwR2K3sle7Ktn2ihN4Nnv0aGPYmO2V2D6rk3ao6JHhCKpXQWq2+l7BGQ0ukUvgKazdw8ZWUr6b+Z6sm7pMFY5t7EAhRDQZ+OmtoK38xIQ6I7h8fmJ52k7V1lNWbuS0Cu5V9woozqefD4tv7P9sYsDfZK7N7UCXvVtUiwfuGBvPZ2frvrXROdmFAaFB1eN8OQXtj3RdLLtaZsGTRlIS67gRCCOHiWydP31XoP+IESVIikQgyhy2Z3SKwW9klXHzm6O2G7Zu7Gl7D3mSnzO5BlbxbVYs9Utw4pkXOoX13tZh7cmT/9YiYlt7wEbcLWHF2+yHfoR8NbSa8yUTmnlj+08b0Yh5xhRd3/PO0RZuGcGfXpsxuEdit7JH68vmbEc0auxgKYG+yW2b3oMrdrarJSHZYeX3zLysOPdSKAqJHTBsV7VctvtjYP+7mqgmztmbzz18Tfj3m//FBU7Lw4qbf1h69k68VBbboN+7dhLpukDpsije7RWC3sjvMv8veX+332feDIwzbwvy2A7bAnF0yJrXxr59389JvArN7UGXuVtUkwQMAAADVC3zlBgAAAJwQJHgAAADACUGCBwAAAJwQJHgAAADACUGCBwAAAJwQJHgAAADACUGCBwAY4+8taS8jKf/hW+WCUtXGt9zrfnSSQYhTPc3OU3IltgcA2AFI8AAAI9zdzUnnJZ7uxXuT9xeb+Tuf+b+B9fr9/oA38zcAgL2ABA8AeBl3e3PyRd+35n/YWrU36e9XnnwM6zRaGE4LgKoHCR4A8BLuekrSv769Br8zqM9rqn3Je40yPH9nUdu6U46oTn5U17XnqnyM+Kcnfnq3S/NIXw/v8JZvzk6+qUEIIV1Komf0gmN7PuvRMGJYsrnrAAAA64IEDwAQYq+kJF/16/VWrEf9Xr0bqvYn7yl4KcOTdWeevPNzR7e2i++oU0f7cVd/6NfruwfRM9ccPP738lHuO0Z3GbclFyOEEP947eylmhGrj/42wMs27wWAag0SPABAgE1PTrnh1+utWFckaty7V131gaQ9+SVfYadP/PbL5fYLNnw9vGOLZm/0nvrfX0eRW1fuzMMIIe6pe+/F3w6PqR8E05sAYAOQ4AEALzAXkzffcmvzelj23bt3H7o3eT1QdSgp9WlJGR4X3rqVo9gztoZErOfR/bcM+kl2Lo8QIr2atqgNc5MCYCsiWwcAALAfzPmkzbeZwhvjm2w1lBHFSbtyR44OMncWTkhlMip84t93fu4ofvkvuhuIcHOHU3cAbAfO4AEAz9FnkrY88Bu5vRg/R5+d3UB7OHlXTgnn8O7NWtZ7evL4LVb/EufvmNap35J/2aqLGQBQAkjwAIBndCeTtmYEvzWqq6ehSNxi6JDG9JHkndnCDE8ghIuyM/IUWuq1UZM6Plg0csJve89fSdv17aiJK4uatG8IlwYBsD1I8AAAPe3xpG3ZtYa83cFFUChqPHhIC/Zo0o6sF8PakEHte8cUL+9Wb1RKIRH57tpd85tdWzisQ3SXCSnS0Ru3ffa6tOqDBwAYIzCGISgAAAAAZwNn8AAAAIATggQPAAAAOCFI8AAAAIATggQPAAAAOCFI8AAAAIATggQPAAAAOCFI8AAAAIATggQPAAAAOCFI8AAAAIATggQPAAAAOKH/A9WSSfJIGYFSAAAAAElFTkSuQmCC" /><!-- --></p>
-<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1"></a><span class="kw">deathProbabilities</span>(lt)</span>
-<span id="cb13-2"><a href="#cb13-2"></a><span class="co">#> [1] 5.017468e-05 5.545160e-05 6.128350e-05 6.772874e-05 7.485183e-05</span></span>
-<span id="cb13-3"><a href="#cb13-3"></a><span class="co">#> [6] 8.272407e-05 9.142423e-05 1.010394e-04 1.116658e-04 1.234098e-04</span></span>
-<span id="cb13-4"><a href="#cb13-4"></a><span class="co">#> [11] 1.363889e-04 1.507331e-04 1.665858e-04 1.841058e-04 2.034684e-04</span></span>
-<span id="cb13-5"><a href="#cb13-5"></a><span class="co">#> [16] 2.248673e-04 2.485168e-04 2.746536e-04 3.035391e-04 3.354626e-04</span></span>
-<span id="cb13-6"><a href="#cb13-6"></a><span class="co">#> [21] 3.707435e-04 4.097350e-04 4.528272e-04 5.004514e-04 5.530844e-04</span></span>
-<span id="cb13-7"><a href="#cb13-7"></a><span class="co">#> [26] 6.112528e-04 6.755388e-04 7.465858e-04 8.251049e-04 9.118820e-04</span></span>
-<span id="cb13-8"><a href="#cb13-8"></a><span class="co">#> [31] 1.007785e-03 1.113775e-03 1.230912e-03 1.360368e-03 1.503439e-03</span></span>
-<span id="cb13-9"><a href="#cb13-9"></a><span class="co">#> [36] 1.661557e-03 1.836305e-03 2.029431e-03 2.242868e-03 2.478752e-03</span></span>
-<span id="cb13-10"><a href="#cb13-10"></a><span class="co">#> [41] 2.739445e-03 3.027555e-03 3.345965e-03 3.697864e-03 4.086771e-03</span></span>
-<span id="cb13-11"><a href="#cb13-11"></a><span class="co">#> [46] 4.516581e-03 4.991594e-03 5.516564e-03 6.096747e-03 6.737947e-03</span></span>
-<span id="cb13-12"><a href="#cb13-12"></a><span class="co">#> [51] 7.446583e-03 8.229747e-03 9.095277e-03 1.005184e-02 1.110900e-02</span></span>
-<span id="cb13-13"><a href="#cb13-13"></a><span class="co">#> [56] 1.227734e-02 1.356856e-02 1.499558e-02 1.657268e-02 1.831564e-02</span></span>
-<span id="cb13-14"><a href="#cb13-14"></a><span class="co">#> [61] 2.024191e-02 2.237077e-02 2.472353e-02 2.732372e-02 3.019738e-02</span></span>
-<span id="cb13-15"><a href="#cb13-15"></a><span class="co">#> [66] 3.337327e-02 3.688317e-02 4.076220e-02 4.504920e-02 4.978707e-02</span></span>
-<span id="cb13-16"><a href="#cb13-16"></a><span class="co">#> [71] 5.502322e-02 6.081006e-02 6.720551e-02 7.427358e-02 8.208500e-02</span></span>
-<span id="cb13-17"><a href="#cb13-17"></a><span class="co">#> [76] 9.071795e-02 1.002588e-01 1.108032e-01 1.224564e-01 1.353353e-01</span></span>
-<span id="cb13-18"><a href="#cb13-18"></a><span class="co">#> [81] 1.495686e-01 1.652989e-01 1.826835e-01 2.018965e-01 2.231302e-01</span></span>
-<span id="cb13-19"><a href="#cb13-19"></a><span class="co">#> [86] 2.465970e-01 2.725318e-01 3.011942e-01 3.328711e-01 3.678794e-01</span></span>
-<span id="cb13-20"><a href="#cb13-20"></a><span class="co">#> [91] 4.065697e-01 4.493290e-01 4.965853e-01 5.488116e-01 6.065307e-01</span></span>
-<span id="cb13-21"><a href="#cb13-21"></a><span class="co">#> [96] 6.703200e-01 7.408182e-01 8.187308e-01 9.048374e-01</span></span></code></pre></div>
+<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" tabindex="-1"></a><span class="fu">deathProbabilities</span>(lt)</span>
+<span id="cb13-2"><a href="#cb13-2" tabindex="-1"></a><span class="co">#> [1] 5.017468e-05 5.545160e-05 6.128350e-05 6.772874e-05 7.485183e-05</span></span>
+<span id="cb13-3"><a href="#cb13-3" tabindex="-1"></a><span class="co">#> [6] 8.272407e-05 9.142423e-05 1.010394e-04 1.116658e-04 1.234098e-04</span></span>
+<span id="cb13-4"><a href="#cb13-4" tabindex="-1"></a><span class="co">#> [11] 1.363889e-04 1.507331e-04 1.665858e-04 1.841058e-04 2.034684e-04</span></span>
+<span id="cb13-5"><a href="#cb13-5" tabindex="-1"></a><span class="co">#> [16] 2.248673e-04 2.485168e-04 2.746536e-04 3.035391e-04 3.354626e-04</span></span>
+<span id="cb13-6"><a href="#cb13-6" tabindex="-1"></a><span class="co">#> [21] 3.707435e-04 4.097350e-04 4.528272e-04 5.004514e-04 5.530844e-04</span></span>
+<span id="cb13-7"><a href="#cb13-7" tabindex="-1"></a><span class="co">#> [26] 6.112528e-04 6.755388e-04 7.465858e-04 8.251049e-04 9.118820e-04</span></span>
+<span id="cb13-8"><a href="#cb13-8" tabindex="-1"></a><span class="co">#> [31] 1.007785e-03 1.113775e-03 1.230912e-03 1.360368e-03 1.503439e-03</span></span>
+<span id="cb13-9"><a href="#cb13-9" tabindex="-1"></a><span class="co">#> [36] 1.661557e-03 1.836305e-03 2.029431e-03 2.242868e-03 2.478752e-03</span></span>
+<span id="cb13-10"><a href="#cb13-10" tabindex="-1"></a><span class="co">#> [41] 2.739445e-03 3.027555e-03 3.345965e-03 3.697864e-03 4.086771e-03</span></span>
+<span id="cb13-11"><a href="#cb13-11" tabindex="-1"></a><span class="co">#> [46] 4.516581e-03 4.991594e-03 5.516564e-03 6.096747e-03 6.737947e-03</span></span>
+<span id="cb13-12"><a href="#cb13-12" tabindex="-1"></a><span class="co">#> [51] 7.446583e-03 8.229747e-03 9.095277e-03 1.005184e-02 1.110900e-02</span></span>
+<span id="cb13-13"><a href="#cb13-13" tabindex="-1"></a><span class="co">#> [56] 1.227734e-02 1.356856e-02 1.499558e-02 1.657268e-02 1.831564e-02</span></span>
+<span id="cb13-14"><a href="#cb13-14" tabindex="-1"></a><span class="co">#> [61] 2.024191e-02 2.237077e-02 2.472353e-02 2.732372e-02 3.019738e-02</span></span>
+<span id="cb13-15"><a href="#cb13-15" tabindex="-1"></a><span class="co">#> [66] 3.337327e-02 3.688317e-02 4.076220e-02 4.504920e-02 4.978707e-02</span></span>
+<span id="cb13-16"><a href="#cb13-16" tabindex="-1"></a><span class="co">#> [71] 5.502322e-02 6.081006e-02 6.720551e-02 7.427358e-02 8.208500e-02</span></span>
+<span id="cb13-17"><a href="#cb13-17" tabindex="-1"></a><span class="co">#> [76] 9.071795e-02 1.002588e-01 1.108032e-01 1.224564e-01 1.353353e-01</span></span>
+<span id="cb13-18"><a href="#cb13-18" tabindex="-1"></a><span class="co">#> [81] 1.495686e-01 1.652989e-01 1.826835e-01 2.018965e-01 2.231302e-01</span></span>
+<span id="cb13-19"><a href="#cb13-19" tabindex="-1"></a><span class="co">#> [86] 2.465970e-01 2.725318e-01 3.011942e-01 3.328711e-01 3.678794e-01</span></span>
+<span id="cb13-20"><a href="#cb13-20" tabindex="-1"></a><span class="co">#> [91] 4.065697e-01 4.493290e-01 4.965853e-01 5.488116e-01 6.065307e-01</span></span>
+<span id="cb13-21"><a href="#cb13-21" tabindex="-1"></a><span class="co">#> [96] 6.703200e-01 7.408182e-01 8.187308e-01 9.048374e-01</span></span></code></pre></div>
<!-- ### Observed life tables -->
<!-- The observations for the given years -->
<!-- TODO -->
</div>
-<div id="cohort-life-tables-with-trend-projection" class="section level2">
-<h2><span class="header-section-number">5.2</span> Cohort life tables with trend projection</h2>
-<p>A cohort life table with trend projection needs the following parameters:</p>
+<div id="cohort-life-tables-with-trend-projection" class="section level2" number="5.2">
+<h2><span class="header-section-number">5.2</span> Cohort life tables
+with trend projection</h2>
+<p>A cohort life table with trend projection needs the following
+parameters:</p>
<ul>
-<li>The base table <span class="math inline">\(q_x^{(base)}\)</span> (death probabilities) for the given base period as a vector</li>
+<li>The base table <span class="math inline">\(q_x^{(base)}\)</span>
+(death probabilities) for the given base period as a vector</li>
<li>Age-specific trend factors <span class="math inline">\(\lambda_x\)</span> as a vector</li>
<li>The base year (numeric)</li>
<li></li>
</ul>
-<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1"></a>atPlus2 =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(</span>
-<span id="cb14-2"><a href="#cb14-2"></a> <span class="dt">name =</span> <span class="st">"Austrian Census Males 2011, 2% yearly trend"</span>,</span>
-<span id="cb14-3"><a href="#cb14-3"></a> <span class="dt">baseYear =</span> <span class="dv">2011</span>,</span>
-<span id="cb14-4"><a href="#cb14-4"></a> <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
-<span id="cb14-5"><a href="#cb14-5"></a> <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
-<span id="cb14-6"><a href="#cb14-6"></a> <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male)))</span>
-<span id="cb14-7"><a href="#cb14-7"></a>)</span></code></pre></div>
-<p>Some life tables do not assume a constant age-specific trend over time, but rather assume that the currently observed high mortality improvements are just a temporary effect, so the current trend is in effect only for some time and then reduces to some kind of long-term trend.</p>
-<p>There are two conceptual approaches: One is to use a trend dampening function that is simply applied to the starting trend. So, while the initial trend might be 3%, i.e. the projection will use <code>(ObservationYear-BaseYear) * OriginalYear</code>, over time it will assume the value <code>dampeningFunction(ObservationYear-BaseYear) * OriginalTrend</code>. The dampening function in this case gives the cumulated trend effect from the base year until the observation year. To implement this trend reduction with the MortalityTables package, simply pass a one-argument function as the <code>dampingFunction</code> slot to the class, the argument will be the number of years from the base year (NOT the calendar year!):</p>
-<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1"></a>atPlus2.damp =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(</span>
-<span id="cb15-2"><a href="#cb15-2"></a> <span class="dt">name =</span> <span class="st">"Austrian M '11, 2% yearly, damping until 2111"</span>,</span>
-<span id="cb15-3"><a href="#cb15-3"></a> <span class="dt">baseYear =</span> <span class="dv">2011</span>,</span>
-<span id="cb15-4"><a href="#cb15-4"></a> <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
-<span id="cb15-5"><a href="#cb15-5"></a> <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
-<span id="cb15-6"><a href="#cb15-6"></a> <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
-<span id="cb15-7"><a href="#cb15-7"></a> <span class="co"># damping function: 2011: full effect, linear reduction until yearly trend=0 in 2111:</span></span>
-<span id="cb15-8"><a href="#cb15-8"></a> <span class="co"># 2011: 100%, 2012: 99%, 2013: 98% => For 2013 we have a cumulative trend </span></span>
-<span id="cb15-9"><a href="#cb15-9"></a> <span class="co"># of 297% instead of 300% for three full yearly trends!</span></span>
-<span id="cb15-10"><a href="#cb15-10"></a> <span class="dt">dampingFunction =</span> <span class="cf">function</span>(n) { n <span class="op">-</span><span class="st"> </span>n <span class="op">*</span><span class="st"> </span>(n <span class="op">+</span><span class="st"> </span><span class="dv">1</span>) <span class="op">/</span><span class="st"> </span><span class="dv">2</span> <span class="op">/</span><span class="st"> </span><span class="dv">100</span> }</span>
-<span id="cb15-11"><a href="#cb15-11"></a>)</span>
-<span id="cb15-12"><a href="#cb15-12"></a></span>
-<span id="cb15-13"><a href="#cb15-13"></a><span class="kw">plot</span>(mort.AT.census.<span class="fl">2011.</span>male, atPlus2, atPlus2.damp, <span class="dt">YOB =</span> <span class="dv">2011</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</span></code></pre></div>
+<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" tabindex="-1"></a>atPlus2 <span class="ot">=</span> <span class="fu">mortalityTable.trendProjection</span>(</span>
+<span id="cb14-2"><a href="#cb14-2" tabindex="-1"></a> <span class="at">name =</span> <span class="st">"Austrian Census Males 2011, 2% yearly trend"</span>,</span>
+<span id="cb14-3"><a href="#cb14-3" tabindex="-1"></a> <span class="at">baseYear =</span> <span class="dv">2011</span>,</span>
+<span id="cb14-4"><a href="#cb14-4" tabindex="-1"></a> <span class="at">deathProbs =</span> <span class="fu">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb14-5"><a href="#cb14-5" tabindex="-1"></a> <span class="at">ages =</span> <span class="fu">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb14-6"><a href="#cb14-6" tabindex="-1"></a> <span class="at">trend =</span> <span class="fu">rep</span>(<span class="fl">0.02</span>, <span class="fu">length</span>(<span class="fu">ages</span>(mort.AT.census.<span class="fl">2011.</span>male)))</span>
+<span id="cb14-7"><a href="#cb14-7" tabindex="-1"></a>)</span></code></pre></div>
+<p>Some life tables do not assume a constant age-specific trend over
+time, but rather assume that the currently observed high mortality
+improvements are just a temporary effect, so the current trend is in
+effect only for some time and then reduces to some kind of long-term
+trend.</p>
+<p>There are two conceptual approaches: One is to use a trend dampening
+function that is simply applied to the starting trend. So, while the
+initial trend might be 3%, i.e. the projection will use
+<code>(ObservationYear-BaseYear) * OriginalYear</code>, over time it
+will assume the value
+<code>dampeningFunction(ObservationYear-BaseYear) * OriginalTrend</code>.
+The dampening function in this case gives the cumulated trend effect
+from the base year until the observation year. To implement this trend
+reduction with the MortalityTables package, simply pass a one-argument
+function as the <code>dampingFunction</code> slot to the class, the
+argument will be the number of years from the base year (NOT the
+calendar year!):</p>
+<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" tabindex="-1"></a>atPlus2.damp <span class="ot">=</span> <span class="fu">mortalityTable.trendProjection</span>(</span>
+<span id="cb15-2"><a href="#cb15-2" tabindex="-1"></a> <span class="at">name =</span> <span class="st">"Austrian M '11, 2% yearly, damping until 2111"</span>,</span>
+<span id="cb15-3"><a href="#cb15-3" tabindex="-1"></a> <span class="at">baseYear =</span> <span class="dv">2011</span>,</span>
+<span id="cb15-4"><a href="#cb15-4" tabindex="-1"></a> <span class="at">deathProbs =</span> <span class="fu">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb15-5"><a href="#cb15-5" tabindex="-1"></a> <span class="at">ages =</span> <span class="fu">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb15-6"><a href="#cb15-6" tabindex="-1"></a> <span class="at">trend =</span> <span class="fu">rep</span>(<span class="fl">0.02</span>, <span class="fu">length</span>(<span class="fu">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
+<span id="cb15-7"><a href="#cb15-7" tabindex="-1"></a> <span class="co"># damping function: 2011: full effect, linear reduction until yearly trend=0 in 2111:</span></span>
+<span id="cb15-8"><a href="#cb15-8" tabindex="-1"></a> <span class="co"># 2011: 100%, 2012: 99%, 2013: 98% => For 2013 we have a cumulative trend </span></span>
+<span id="cb15-9"><a href="#cb15-9" tabindex="-1"></a> <span class="co"># of 297% instead of 300% for three full yearly trends!</span></span>
+<span id="cb15-10"><a href="#cb15-10" tabindex="-1"></a> <span class="at">dampingFunction =</span> <span class="cf">function</span>(n) { n <span class="sc">-</span> n <span class="sc">*</span> (n <span class="sc">+</span> <span class="dv">1</span>) <span class="sc">/</span> <span class="dv">2</span> <span class="sc">/</span> <span class="dv">100</span> }</span>
+<span id="cb15-11"><a href="#cb15-11" tabindex="-1"></a>)</span>
+<span id="cb15-12"><a href="#cb15-12" tabindex="-1"></a></span>
+<span id="cb15-13"><a href="#cb15-13" tabindex="-1"></a><span class="fu">plot</span>(mort.AT.census.<span class="fl">2011.</span>male, atPlus2, atPlus2.damp, <span class="at">YOB =</span> <span class="dv">2011</span>, <span class="at">legend.position =</span> <span class="fu">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
-<p>The other approach is to assume that instead of the initial trend, after some time a second trend (slot trend2) takes over. In this case, the <code>dampingFunction</code> slot is again a one-argument function that now gives the weight of the first trend, while <code>1-dampingFunction(year)</code> will give the weight of the second trend. As the weights will be applied for the whole period from the base- to the observation year, the weights need to be cumulated and normalized.</p>
-<p>The argument in this case is the actual calendar year (not the year since the base year like it was in the one-trend case above!)</p>
-<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1"></a>atPlus2.damp2 =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(</span>
-<span id="cb16-2"><a href="#cb16-2"></a> <span class="dt">name =</span> <span class="st">"Austrian M '11, 2% yearly, 1% long-term"</span>,</span>
-<span id="cb16-3"><a href="#cb16-3"></a> <span class="dt">baseYear =</span> <span class="dv">2011</span>,</span>
-<span id="cb16-4"><a href="#cb16-4"></a> <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
-<span id="cb16-5"><a href="#cb16-5"></a> <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
-<span id="cb16-6"><a href="#cb16-6"></a> <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
-<span id="cb16-7"><a href="#cb16-7"></a> <span class="dt">trend2 =</span> <span class="kw">rep</span>(<span class="fl">0.01</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
-<span id="cb16-8"><a href="#cb16-8"></a> <span class="co"># damping function interpolates between the two trends: </span></span>
-<span id="cb16-9"><a href="#cb16-9"></a> <span class="co"># until 2021 trend 1, from 2031 trend 2, linearly beteen</span></span>
-<span id="cb16-10"><a href="#cb16-10"></a> <span class="dt">dampingFunction =</span> <span class="cf">function</span>(year) { </span>
-<span id="cb16-11"><a href="#cb16-11"></a> <span class="cf">if</span> (year <span class="op"><=</span><span class="st"> </span><span class="dv">2021</span>) <span class="dv">1</span></span>
-<span id="cb16-12"><a href="#cb16-12"></a> <span class="cf">else</span> <span class="cf">if</span> (year <span class="op">></span><span class="st"> </span><span class="dv">2031</span>) <span class="fl">14.5</span><span class="op">/</span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2011</span>)</span>
-<span id="cb16-13"><a href="#cb16-13"></a> <span class="cf">else</span> <span class="dv">1</span> <span class="op">-</span><span class="st"> </span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2021</span>)<span class="op">*</span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2021</span> <span class="op">+</span><span class="st"> </span><span class="dv">1</span>) <span class="op">/</span><span class="st"> </span><span class="dv">20</span> <span class="op">/</span><span class="st"> </span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2011</span>)</span>
-<span id="cb16-14"><a href="#cb16-14"></a> }</span>
-<span id="cb16-15"><a href="#cb16-15"></a>)</span>
-<span id="cb16-16"><a href="#cb16-16"></a></span>
-<span id="cb16-17"><a href="#cb16-17"></a><span class="kw">plot</span>(mort.AT.census.<span class="fl">2011.</span>male, atPlus2, atPlus2.damp, atPlus2.damp2, <span class="dt">YOB =</span> <span class="dv">2011</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.02</span>, <span class="fl">0.98</span>), <span class="dt">legend.justification =</span> <span class="kw">c</span>(<span class="dv">0</span>, <span class="dv">1</span>))</span></code></pre></div>
+<p>The other approach is to assume that instead of the initial trend,
+after some time a second trend (slot trend2) takes over. In this case,
+the <code>dampingFunction</code> slot is again a one-argument function
+that now gives the weight of the first trend, while
+<code>1-dampingFunction(year)</code> will give the weight of the second
+trend. As the weights will be applied for the whole period from the
+base- to the observation year, the weights need to be cumulated and
+normalized.</p>
+<p>The argument in this case is the actual calendar year (not the year
+since the base year like it was in the one-trend case above!)</p>
+<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" tabindex="-1"></a>atPlus2.damp2 <span class="ot">=</span> <span class="fu">mortalityTable.trendProjection</span>(</span>
+<span id="cb16-2"><a href="#cb16-2" tabindex="-1"></a> <span class="at">name =</span> <span class="st">"Austrian M '11, 2% yearly, 1% long-term"</span>,</span>
+<span id="cb16-3"><a href="#cb16-3" tabindex="-1"></a> <span class="at">baseYear =</span> <span class="dv">2011</span>,</span>
+<span id="cb16-4"><a href="#cb16-4" tabindex="-1"></a> <span class="at">deathProbs =</span> <span class="fu">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb16-5"><a href="#cb16-5" tabindex="-1"></a> <span class="at">ages =</span> <span class="fu">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb16-6"><a href="#cb16-6" tabindex="-1"></a> <span class="at">trend =</span> <span class="fu">rep</span>(<span class="fl">0.02</span>, <span class="fu">length</span>(<span class="fu">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
+<span id="cb16-7"><a href="#cb16-7" tabindex="-1"></a> <span class="at">trend2 =</span> <span class="fu">rep</span>(<span class="fl">0.01</span>, <span class="fu">length</span>(<span class="fu">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
+<span id="cb16-8"><a href="#cb16-8" tabindex="-1"></a> <span class="co"># damping function interpolates between the two trends: </span></span>
+<span id="cb16-9"><a href="#cb16-9" tabindex="-1"></a> <span class="co"># until 2021 trend 1, from 2031 trend 2, linearly beteen</span></span>
+<span id="cb16-10"><a href="#cb16-10" tabindex="-1"></a> <span class="at">dampingFunction =</span> <span class="cf">function</span>(year) { </span>
+<span id="cb16-11"><a href="#cb16-11" tabindex="-1"></a> <span class="cf">if</span> (year <span class="sc"><=</span> <span class="dv">2021</span>) <span class="dv">1</span></span>
+<span id="cb16-12"><a href="#cb16-12" tabindex="-1"></a> <span class="cf">else</span> <span class="cf">if</span> (year <span class="sc">></span> <span class="dv">2031</span>) <span class="fl">14.5</span><span class="sc">/</span>(year <span class="sc">-</span> <span class="dv">2011</span>)</span>
+<span id="cb16-13"><a href="#cb16-13" tabindex="-1"></a> <span class="cf">else</span> <span class="dv">1</span> <span class="sc">-</span> (year <span class="sc">-</span> <span class="dv">2021</span>)<span class="sc">*</span>(year <span class="sc">-</span> <span class="dv">2021</span> <span class="sc">+</span> <span class="dv">1</span>) <span class="sc">/</span> <span class="dv">20</span> <span class="sc">/</span> (year <span class="sc">-</span> <span class="dv">2011</span>)</span>
+<span id="cb16-14"><a href="#cb16-14" tabindex="-1"></a> }</span>
+<span id="cb16-15"><a href="#cb16-15" tabindex="-1"></a>)</span>
+<span id="cb16-16"><a href="#cb16-16" tabindex="-1"></a></span>
+<span id="cb16-17"><a href="#cb16-17" tabindex="-1"></a><span class="fu">plot</span>(mort.AT.census.<span class="fl">2011.</span>male, atPlus2, atPlus2.damp, atPlus2.damp2, <span class="at">YOB =</span> <span class="dv">2011</span>, <span class="at">legend.position =</span> <span class="fu">c</span>(<span class="fl">0.02</span>, <span class="fl">0.98</span>), <span class="at">legend.justification =</span> <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">1</span>))</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
-<div id="cohort-life-tables-with-age-shift" class="section level2">
-<h2><span class="header-section-number">5.3</span> Cohort life tables with age-shift</h2>
-<p>Age-shifted cohort life tables are an approximation to full cohort life tables. Full cohort life tables apply a trend or improvment factors to the death probabilities of a base year to obtail death probabilities for a given birth year. Age-shifting rather modifies the age of the corresponding person and uses the same, unmodified base table for all cohorts. Basically, it works like this:</p>
+<div id="cohort-life-tables-with-age-shift" class="section level2" number="5.3">
+<h2><span class="header-section-number">5.3</span> Cohort life tables
+with age-shift</h2>
+<p>Age-shifted cohort life tables are an approximation to full cohort
+life tables. Full cohort life tables apply a trend or improvment factors
+to the death probabilities of a base year to obtail death probabilities
+for a given birth year. Age-shifting rather modifies the age of the
+corresponding person and uses the same, unmodified base table for all
+cohorts. Basically, it works like this:</p>
<blockquote>
-<p>A 60-year old born in 1950 has the same death probability as a 50-year old born in 1900, so instead of looking at the cohort 1950, we can look at the cohort 1900 and for a person born 1950 we treat him as if he were 10 years younger.</p>
+<p>A 60-year old born in 1950 has the same death probability as a
+50-year old born in 1900, so instead of looking at the cohort 1950, we
+can look at the cohort 1900 and for a person born 1950 we treat him as
+if he were 10 years younger.</p>
</blockquote>
-<p>So, an age-shifted cohort life table just needs the base table and for each birth year the amount the age is modified.</p>
-<p>For those people, who think visually, age shifting works on the death probabilities as following: A normal trend moves the <span class="math inline">\(q_x\)</span> curve downwards. Age-shifting approximates this by shifting the <span class="math inline">\(q_x\)</span> curve to the right without modifying its values.</p>
-<p>The following example clearly shows this, with the blue curve being the base table for YOB 2011. A full trend projection moves the curve down to the green line, while age-shifting moves the base curve to the right so that it coincides as much as possible with the exact (green) line.</p>
-<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1"></a>baseTableShift =<span class="st"> </span><span class="kw">getCohortTable</span>(atPlus2, <span class="dt">YOB =</span> <span class="dv">2011</span>);</span>
-<span id="cb17-2"><a href="#cb17-2"></a>baseTableShift<span class="op">@</span>name =<span class="st"> "Base table of the shift (YOB 2011)"</span></span>
-<span id="cb17-3"><a href="#cb17-3"></a></span>
-<span id="cb17-4"><a href="#cb17-4"></a>atShifted =<span class="st"> </span><span class="kw">mortalityTable.ageShift</span>(</span>
-<span id="cb17-5"><a href="#cb17-5"></a> <span class="dt">name =</span> <span class="st">"Approximation with age shift"</span>,</span>
-<span id="cb17-6"><a href="#cb17-6"></a> <span class="dt">baseYear =</span> <span class="dv">2011</span>,</span>
-<span id="cb17-7"><a href="#cb17-7"></a> <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(baseTableShift),</span>
-<span id="cb17-8"><a href="#cb17-8"></a> <span class="dt">ages =</span> <span class="kw">ages</span>(baseTableShift),</span>
-<span id="cb17-9"><a href="#cb17-9"></a> <span class="dt">ageShifts =</span> <span class="kw">data.frame</span>(</span>
-<span id="cb17-10"><a href="#cb17-10"></a> <span class="dt">shifts =</span> <span class="kw">c</span>(</span>
-<span id="cb17-11"><a href="#cb17-11"></a> <span class="kw">rep</span>( <span class="dv">0</span>, <span class="dv">3</span>), </span>
-<span id="cb17-12"><a href="#cb17-12"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dv">3</span>), </span>
-<span id="cb17-13"><a href="#cb17-13"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">2</span>, <span class="dv">3</span>), </span>
-<span id="cb17-14"><a href="#cb17-14"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">3</span>, <span class="dv">3</span>), </span>
-<span id="cb17-15"><a href="#cb17-15"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">4</span>, <span class="dv">3</span>), </span>
-<span id="cb17-16"><a href="#cb17-16"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">5</span>, <span class="dv">3</span>), </span>
-<span id="cb17-17"><a href="#cb17-17"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">6</span>, <span class="dv">3</span>)</span>
-<span id="cb17-18"><a href="#cb17-18"></a> ),</span>
-<span id="cb17-19"><a href="#cb17-19"></a> <span class="dt">row.names =</span> <span class="dv">2011</span><span class="op">:</span><span class="dv">2031</span></span>
-<span id="cb17-20"><a href="#cb17-20"></a> )</span>
-<span id="cb17-21"><a href="#cb17-21"></a>)</span>
-<span id="cb17-22"><a href="#cb17-22"></a></span>
-<span id="cb17-23"><a href="#cb17-23"></a><span class="kw">ageShift</span>(atShifted, <span class="dt">YOB =</span> <span class="dv">2021</span>)</span>
-<span id="cb17-24"><a href="#cb17-24"></a><span class="co">#> [1] -3</span></span>
-<span id="cb17-25"><a href="#cb17-25"></a></span>
-<span id="cb17-26"><a href="#cb17-26"></a><span class="kw">plot</span>(baseTableShift, atPlus2, atShifted, <span class="dt">YOB =</span> <span class="dv">2021</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</span></code></pre></div>
+<p>So, an age-shifted cohort life table just needs the base table and
+for each birth year the amount the age is modified.</p>
+<p>For those people, who think visually, age shifting works on the death
+probabilities as following: A normal trend moves the <span class="math inline">\(q_x\)</span> curve downwards. Age-shifting
+approximates this by shifting the <span class="math inline">\(q_x\)</span> curve to the right without modifying
+its values.</p>
+<p>The following example clearly shows this, with the blue curve being
+the base table for YOB 2011. A full trend projection moves the curve
+down to the green line, while age-shifting moves the base curve to the
+right so that it coincides as much as possible with the exact (green)
+line.</p>
+<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" tabindex="-1"></a>baseTableShift <span class="ot">=</span> <span class="fu">getCohortTable</span>(atPlus2, <span class="at">YOB =</span> <span class="dv">2011</span>);</span>
+<span id="cb17-2"><a href="#cb17-2" tabindex="-1"></a>baseTableShift<span class="sc">@</span>name <span class="ot">=</span> <span class="st">"Base table of the shift (YOB 2011)"</span></span>
+<span id="cb17-3"><a href="#cb17-3" tabindex="-1"></a></span>
+<span id="cb17-4"><a href="#cb17-4" tabindex="-1"></a>atShifted <span class="ot">=</span> <span class="fu">mortalityTable.ageShift</span>(</span>
+<span id="cb17-5"><a href="#cb17-5" tabindex="-1"></a> <span class="at">name =</span> <span class="st">"Approximation with age shift"</span>,</span>
+<span id="cb17-6"><a href="#cb17-6" tabindex="-1"></a> <span class="at">baseYear =</span> <span class="dv">2011</span>,</span>
+<span id="cb17-7"><a href="#cb17-7" tabindex="-1"></a> <span class="at">deathProbs =</span> <span class="fu">deathProbabilities</span>(baseTableShift),</span>
+<span id="cb17-8"><a href="#cb17-8" tabindex="-1"></a> <span class="at">ages =</span> <span class="fu">ages</span>(baseTableShift),</span>
+<span id="cb17-9"><a href="#cb17-9" tabindex="-1"></a> <span class="at">ageShifts =</span> <span class="fu">data.frame</span>(</span>
+<span id="cb17-10"><a href="#cb17-10" tabindex="-1"></a> <span class="at">shifts =</span> <span class="fu">c</span>(</span>
+<span id="cb17-11"><a href="#cb17-11" tabindex="-1"></a> <span class="fu">rep</span>( <span class="dv">0</span>, <span class="dv">3</span>), </span>
+<span id="cb17-12"><a href="#cb17-12" tabindex="-1"></a> <span class="fu">rep</span>(<span class="sc">-</span><span class="dv">1</span>, <span class="dv">3</span>), </span>
+<span id="cb17-13"><a href="#cb17-13" tabindex="-1"></a> <span class="fu">rep</span>(<span class="sc">-</span><span class="dv">2</span>, <span class="dv">3</span>), </span>
+<span id="cb17-14"><a href="#cb17-14" tabindex="-1"></a> <span class="fu">rep</span>(<span class="sc">-</span><span class="dv">3</span>, <span class="dv">3</span>), </span>
+<span id="cb17-15"><a href="#cb17-15" tabindex="-1"></a> <span class="fu">rep</span>(<span class="sc">-</span><span class="dv">4</span>, <span class="dv">3</span>), </span>
+<span id="cb17-16"><a href="#cb17-16" tabindex="-1"></a> <span class="fu">rep</span>(<span class="sc">-</span><span class="dv">5</span>, <span class="dv">3</span>), </span>
+<span id="cb17-17"><a href="#cb17-17" tabindex="-1"></a> <span class="fu">rep</span>(<span class="sc">-</span><span class="dv">6</span>, <span class="dv">3</span>)</span>
+<span id="cb17-18"><a href="#cb17-18" tabindex="-1"></a> ),</span>
+<span id="cb17-19"><a href="#cb17-19" tabindex="-1"></a> <span class="at">row.names =</span> <span class="dv">2011</span><span class="sc">:</span><span class="dv">2031</span></span>
+<span id="cb17-20"><a href="#cb17-20" tabindex="-1"></a> )</span>
+<span id="cb17-21"><a href="#cb17-21" tabindex="-1"></a>)</span>
+<span id="cb17-22"><a href="#cb17-22" tabindex="-1"></a></span>
+<span id="cb17-23"><a href="#cb17-23" tabindex="-1"></a><span class="fu">ageShift</span>(atShifted, <span class="at">YOB =</span> <span class="dv">2021</span>)</span>
+<span id="cb17-24"><a href="#cb17-24" tabindex="-1"></a><span class="co">#> [1] -3</span></span>
+<span id="cb17-25"><a href="#cb17-25" tabindex="-1"></a></span>
+<span id="cb17-26"><a href="#cb17-26" tabindex="-1"></a><span class="fu">plot</span>(baseTableShift, atPlus2, atShifted, <span class="at">YOB =</span> <span class="dv">2021</span>, <span class="at">legend.position =</span> <span class="fu">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
-<p>As one can see, for ages above 40 years, the table with 2% yearly trend and the corresponding age-shifted table have roughly the same mortalities. Below 40 years, the two are very different, so this approximation through age-shifting should really be used with extreme care!</p>
+<p>As one can see, for ages above 40 years, the table with 2% yearly
+trend and the corresponding age-shifted table have roughly the same
+mortalities. Below 40 years, the two are very different, so this
+approximation through age-shifting should really be used with extreme
+care!</p>
</div>
</div>
-<div id="modifying-life-table-objects" class="section level1">
-<h1><span class="header-section-number">6</span> Modifying life table objects</h1>
-<div id="copying-life-tables" class="section level2">
-<h2><span class="header-section-number">6.1</span> Copying life tables</h2>
-<p>Life tables are simple pass-by-value S4 objects, so copying works by simple assignment.</p>
-<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1"></a>b =<span class="st"> </span>AVOe2005R.female </span>
-<span id="cb18-2"><a href="#cb18-2"></a>b<span class="op">@</span>name =<span class="st"> "Modified Copy"</span></span>
-<span id="cb18-3"><a href="#cb18-3"></a><span class="co"># only b is modified, not the original table</span></span>
-<span id="cb18-4"><a href="#cb18-4"></a>b<span class="op">@</span>modification =<span class="st"> </span><span class="cf">function</span>(qx) <span class="kw">pmax</span>(qx, <span class="fl">0.01</span>) </span>
-<span id="cb18-5"><a href="#cb18-5"></a><span class="kw">plot</span>(AVOe2005R.female, b, <span class="dt">YOB =</span> <span class="dv">2000</span>)</span></code></pre></div>
+<div id="modifying-life-table-objects" class="section level1" number="6">
+<h1><span class="header-section-number">6</span> Modifying life table
+objects</h1>
+<div id="copying-life-tables" class="section level2" number="6.1">
+<h2><span class="header-section-number">6.1</span> Copying life
+tables</h2>
+<p>Life tables are simple pass-by-value S4 objects, so copying works by
+simple assignment.</p>
+<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1" tabindex="-1"></a>b <span class="ot">=</span> AVOe2005R.female </span>
+<span id="cb18-2"><a href="#cb18-2" tabindex="-1"></a>b<span class="sc">@</span>name <span class="ot">=</span> <span class="st">"Modified Copy"</span></span>
+<span id="cb18-3"><a href="#cb18-3" tabindex="-1"></a><span class="co"># only b is modified, not the original table</span></span>
+<span id="cb18-4"><a href="#cb18-4" tabindex="-1"></a>b<span class="sc">@</span>modification <span class="ot">=</span> <span class="cf">function</span>(qx) <span class="fu">pmax</span>(qx, <span class="fl">0.01</span>) </span>
+<span id="cb18-5"><a href="#cb18-5" tabindex="-1"></a><span class="fu">plot</span>(AVOe2005R.female, b, <span class="at">YOB =</span> <span class="dv">2000</span>)</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
-<div id="adding-a-security-loading-to-the-raw-probabilities" class="section level2">
-<h2><span class="header-section-number">6.2</span> Adding a security loading to the raw probabilities</h2>
-<p>When calculating premiums for life insurance contracts, one often needs to add a certain security loading on the raw death probabilities (e.g. 10% increased death probabilities) to account for statistical fluctuations. This can be easily done with the <code>setLoading</code> function that returns a copy of the given table and adds the given security loading.</p>
-<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1"></a>AVOe2005R.female.sec =<span class="st"> </span><span class="kw">setLoading</span>(AVOe2005R.female, <span class="dt">loading =</span> <span class="fl">0.1</span>);</span>
-<span id="cb19-2"><a href="#cb19-2"></a><span class="co"># Make sure the modified table has a new name, otherwise plots might break</span></span>
-<span id="cb19-3"><a href="#cb19-3"></a>AVOe2005R.female.sec<span class="op">@</span>name =<span class="st"> "Table with 10% loading"</span></span>
-<span id="cb19-4"><a href="#cb19-4"></a><span class="kw">plot</span>(AVOe2005R.female, AVOe2005R.female.sec, <span class="dt">title =</span> <span class="st">"Original and modified table"</span>)</span></code></pre></div>
+<div id="adding-a-security-loading-to-the-raw-probabilities" class="section level2" number="6.2">
+<h2><span class="header-section-number">6.2</span> Adding a security
+loading to the raw probabilities</h2>
+<p>When calculating premiums for life insurance contracts, one often
+needs to add a certain security loading on the raw death probabilities
+(e.g. 10% increased death probabilities) to account for statistical
+fluctuations. This can be easily done with the <code>setLoading</code>
+function that returns a copy of the given table and adds the given
+security loading.</p>
+<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1" tabindex="-1"></a>AVOe2005R.female.sec <span class="ot">=</span> <span class="fu">setLoading</span>(AVOe2005R.female, <span class="at">loading =</span> <span class="fl">0.1</span>);</span>
+<span id="cb19-2"><a href="#cb19-2" tabindex="-1"></a><span class="co"># Make sure the modified table has a new name, otherwise plots might break</span></span>
+<span id="cb19-3"><a href="#cb19-3" tabindex="-1"></a>AVOe2005R.female.sec<span class="sc">@</span>name <span class="ot">=</span> <span class="st">"Table with 10% loading"</span></span>
+<span id="cb19-4"><a href="#cb19-4" tabindex="-1"></a><span class="fu">plot</span>(AVOe2005R.female, AVOe2005R.female.sec, <span class="at">title =</span> <span class="st">"Original and modified table"</span>)</span></code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAHgCAIAAAD17khjAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nOzdZ3wU5dYA8DMzW7LpvZFOgIQSepNepAmIVEEBBQQbKAhy4aqg1yteEVFREFABQXoTASnSpEkvgQAhIb337btTnvfDwr5rstlsQpLNbs7/A7/dfWaeOefZGU5mdgpFCAGEEEIIORba1gEghBBCqPZhgUcIIYQcEBZ4hBBCyAFhgUcIIYQcEBZ4hBBCyAFhgUcIIYQckN0WeH3WXz8seLFv61BfVyeZu1943ICXF2+4nM9VOSPJXjNASlGUuOXiq1VPXf3p67O3qglp3/SWUhQlbrv0Vn0sr+oYKo4AUVz7/qUu4d4yscTjuR9zCHdlUayYoiingT/k1OAazlpNmT0zJ1xEUZRs5OZSsxPU9xeKEELWsssCz2cfntejVb83vtxx5m5mkUqnVRSmx5/8ddn0Z1oP/PivIryw367wSevmzN92Jb1Ex/N6HVvH356Qu//9F0aMGDHq3R3pQt0uCiGEbEpk6wCqT3P98zETvr6qJEC5Nhv88qRBrX35nBuHtmw7k6YpOPPJ6Jf8Lvz+ZnNxZbNTXoM+/HX7TJ52b9mUsWJx1Z0eWVZhPLkH8fd0BCjnQWuTDk0PYCjKaeJXW9vJBSagkxdV68tXJZ8/fPCCXty+63/xL0GEkCOzuwIvpPz43rJLSgJ0wLBvT+x6q5Wz4fP33p/53+eGLDlXWnT8o8W7xu6a5F9ZbZA17Tu2aTWWWN3pkWUVxlOn1QEA5RwS6sPQNAB4xw0dF2eb4BBCyGHY2yF67vaG9edUBCjXAUt/eONJdQcAyr3rv9bMby+hQCg+uH5nhgAA/J3/tJdQFCXt+VVi6qF/D28VEDP3rN7Mj6Zc9okvXunfOsjDI6z7zE23//pXrJiiGN9pf+gr/Mj6/32uuHrx+9f6NPdzcXL2bdZ72rcXjL8N6NOPfTljUNtwHxeJ2Mk9sFn3F9776WqxdfuLFua1ZtFAiq+snzumV4y/m1tQ3IjF+1P0lS+LPT+vqYiiKNmI1adXT2rlJaYlbsFtRyza90inTdo5d2CMv6uzZ2jr/jO+v1xiGr0+4+Q3bw3vFOXr6iRzD2jWbfS8dRfy+P9vtxiD6XiyRb+/P2zYJ6d1AEDkfyweNmTmpmS+4m/w+syTK2cNjgvxdHbxDmvVZ/InuxPkxLrFQblFy6LnX9ADAHvjw9aSgNeO6q38vojq3pZ3no3xd3UPbtN/4sKN10sr/T4tR4sQQvWF2BU+9eteEgCgnAavzxXKt3L3lnUWAwDlOmZbGSGEi/+knRgAxB0nTW4rowCYsNmndVmr+0sAQBS76ApLCCFC3oEZzSTG/X1KFBjT3JsGoH1ePawjRPjn9E/6ZIJjWniY/nlE+4zYkMETIhQcmBYpLn/4gHLvvfI+V6G3cizPW+WiCZGfW9zR1WR+ShIQ6EMDgChuyc0Ky9OfmxvFAADl7OJsOpM0ulvnQJHJJ3TgpN0Fj4dbe+e7of9oBACgxGFjNyUbFlBFDKYjoH/82kjU5sMbLHv5XzEiAJAOWJMtEMI92jQmpNwCac+ui04VCdVMWSjYP29gt2gPGgBot8jO/UYtv8xaHnP96dlhDAAwfoH+pjFQbl2WXFSSil9oFdEihFC9sbM9eD4rPYsHANo3Otq7wjF4JqJ5UwkFQHRZmfkme5Tcje1bkwK7j5w4eUxn/3IZk7LDi97c8FAPTMDAxVuP/7ln2SiXlIfFVZ5/xeek8v0+2vD70UOb/j0wiAEQio9tOZhLhPRtK35NZQnT5PkVx2/eT7zz1+rx4QwQ+cUdBx7xlvu0ct7KFg3szRVvfXldSSjnmInL9544uW/FxCh5XlGVuRCtU7vZa387cmD1tDhnCogu6dIt5xGfbj38x9aPBgUyAELeoX3ndQAA/MPvZ71/JJcDceiwj3edv3njzJaFfQMYYNP3zJnzS5ZQvRio4DdO6LS7JzhTALTv9D907O1P2v3zVyNSsHPBvH2ZHBUw9MvzmXJF3vWNU5qLSemlL6Z//Je6movzfX7F0S2vtxIBABM9bcPxffM701aOeUE+1+mttYdOHd+2dHi4hCKKK/9757t75b/QKqJFCKF6ZG+/wT959h1l/hd2ijLUb4H/x3+9Tl0+Pn/y321lAAAk+7Rpk/zopj1ZPFCew7/Y8unEAAoG9mxSfKfnF/eruOaJCZ+xfuuSvjIA6B+ScrDj0lscn5eVx0OT7u/+vPk1EEf0HtsjhNIV6mSG/TkiL1NUdaBWZtW8lS2aTfv11zt6QonbLti2aX47MUD/XhHyu10+uVXFqemi1m+vWTEzTgRC64xdW946padch3/68+KJngADxH/9+OcP2YK2rFQD4MTf37HlspoAEzp17baPhroDQNu2O+ikli/vKZL/ufVAzkvtahhDJUjx4a1/FAsgajnj03eeaSICaD/ly3/t3D39sDpt367Ln0kOPe3irBtzynPYl3u+eTWYBujbPaAw7tnvHmmvb9kW/97H/tZHu7xPX0n5xSOEUF2xsz14JjgsmAEAoTD5UcUfQfmMpBQtAaAkwSEBJme8i2KGj2otM9shlxyfoCIA4tZ9evkZ/miQdhgyILDKcWGaRIVJDS9pb19vGgBAIARo/07P9YvQ3jv2xUsdowPcXP3bv/VbnpXXY1k5byWLJkW3b2bwAHRIv4GtHl9EIGo9dHBklef+M4FNDMNFiSUSCgBon9AQFwAAoCRS08PXbGJCEgdAufZ+rq/7488ov0HPdRUDEC4xITG/pjFUgnt494GOAHAJ/+0opiiKoijaf9phNQHg8x8mPrr1tIuzcszFbQb2f7JSuDwzuKc7BcAn3b77z71yy9E+LMFf4hFC9cjO9uDp0N59okXnEjjtuZ37s155LcS0EHOJu3ff4AAoScd+Pd1NGiiZs6yyc+pZPQsAAIzo/4dCLBZTADX731jI3jGl68s7MgWfbjMWfbO8T+d2AacmR792RFfH8wIQjVpDAAAok8MblJu7Ww0uNaMqOUICxmExnYCmDfu8PC/UYgwGrF4PAED7xvZoHfDPui1q5qF66sVZPebEZH2gaPrxClJuQZaj5UmFGRBCqM7YWYEHUdtXZnT76r1zGsXxj95c33PHrNjHe+ak7NLns764qiNAew97bUKYlYcmmPCm4SIqkePuXvi79O1QbwqAe3DmbJZQw/+KhZzf1u3L4oio9eurv5/XXgSgu7Am2bpbnD3NvABA+4YESynQC5lnTt7nerQRAYCQdfZMYi3eYE3cLDZaBDdZ5dnDZ+TPD3YHACAFRw9dZgEoUXRMdEBQ7cbAhEWGMZDGM82m/XxifrThW2VVJQqtQCipm/iPPU+3OGvHnI0/eTrvnVeCKADQXD5xvlQAEEW1jv3ncaEqovW2s+NlCCH7Znf/5TDRs756v5MLBULu7292bf/cWx9//d1XS+dM6t2230dnSwWgvfsv/WxCgLXVmfIfMqqHMwVC0Z750z7/7ezZg6tem/T5dX2ND6ayepYQAD71+LbDtxLvnvtl/rs/Jldxcl1tzAsALs8M7O5MAdHf+N/E6d8ePHf+yNrZYxedqPKX/2pgYsdP6uREAZ+xcdbkZQeuJty9sP3fL767t1AAyq3fS6NC3Wo5Bjp0+OiuMgq4K6sX/XAhU8mqsy6smtDSz9fXL2LsxkxZ9RdH04bfNEpy8rSEWDvmpOzQ+xMWbPrzwl97P5/86uokHihpu5dejPvnH8hVRIt3zkMI1Stbn8ZfE2z6b7Pbu1f824SifXp+cDKffzLdk+vKJD2+SjZ+WOFCNfXVT7u7mx5wdg0MdKvyMjmTPvmM7/pJAEDU8t/XWC7hi+7/uObMOSIqiAEA2m/KbwrLl8lVMW9ViyZC6dE3mv7jii9K7OvnVeVlctJB6wzXHAp56wdLAYCJfPes3jDJX++EMwAgHb6x2DCT5vY3gwKYipfJjdmQxBJSdQwVRsD0LHrD1/vPy+TU1//X+/G+L0U9PhZPiUNf+PGBzorFVaA6MMWHNnQmCnztiNrymD+5TM645CcriUe3jy+Zu0zOYrQIIVSP7G4PHgBAFDry2wvxx797d2zPmGAvZ4nExTukdb+JC9efu3PyP/38qpmTrOPiQyfWvDEgxs9Z6hLYbsL/fv95SnCNx4WJnbvrt08ndIn0cfOO6DjkjTV/XV73QiANIBTu/Haz5Z24p5kXAIDyGLTqwtkfF056tkOkl7OLf+zgeZu3vde6dn+GcWoz58DlIyteH9o+zNtZInHxjeoy6t01py9vf6WpqE5ikLV///CFXUsm9Wzm5yxx8gyJ7THh35suXNs5vbmkJotzHrp07ez+zXydxRJXXx9XkXVjLhm4ZNNHE7pGeMlcA1r2Hjv/p9N/fNjFpbrRIoRQPaIIadyn9gqlaXfTSgWgPcJbRXjSAADKfS+FjdlaQkfNPXP/qx6V3tQeIYQQarjscg++NvHxK0d0bNeuXbuuk1ZeylOr829unbdkXykBJvjZoe2wuiOEELJPjX4PHoTcQ3OHTfruhtzkCDhFe3dZsOP3ZQP98KomhBBCdgkLPACALuvinm37z95OK9TQroFNO/QbPWFEe3/cfUcIIWS3sMAjhBBCDqjR/waPEEIIOSIs8AghhJADwgKPEEIIOSAs8AghhJADwgKPEEIIOSAs8AghhJADsqfHxSYmJt65c6cWO+R5nhAievIkeJ7nGebxQ7wJIYIgGN8KgkCZPG+E4zjjXBaaHt/un6arbOJ5nqZpYyemkVheNBgfj1ZV//WWmiAIgiCYjqp9pVatRRtTq9airezf+lG169RsuC0IgsDzvFgstqZ/3MytTK1ao2qr1BrstmDav/Wj6ufn16tXL6jAngr8xYsXdTpdVFRUbXWo1Wp5nndxefzQEI1G4+TkZPwidTqdk5OToUmn04nFYuNXotFoZLLHjwJnWZaiKOM3ZNrEcRwhxPiVmDYJgsCyrFQqNUYilUqNi9ZqtcYpdTqdSCQyfuXlFg0AZvvneZ7jOGP/NUtNr9fTNF3d1HQ6Hcuyrq6udZcaz/MSicTsqOr1eitTYxjG7KItpGZ5VOs0NZ1Op9fr3dzcjKMqkUiqm1qNVxjrU7OwLQiCUNm3ZuW2UOup6fV6nU5nHNUap9YIN/NyizZNjWVZrVZr5ahaSK3ctmBMzYE383IrjGlqhlF1dXU1rrrG1ARB2LVrl9kCb0+Pi924ceO1a9dqsUOFQlFcXGx8K5fLBUEwvOZ5XqFQGJuUSqVhhTAoKyszvtZoNDqdzmyTTqfTaDRmmziOUyqVppEYDicQQgRBkMvlxiaVSqXX6812otVqtVqt2Sa9Xq9SqZ4yNbVaXYPUlEplUVGRlamxLGu2E8upqdVqs00cx1mfWmWjaiE1lmXLjWoNUtNoNDVITaVSFRYWGt8qFIoapKbVaq1PzXSFsT41CyuMhW/NwrZgfWqVjaqF1NRqtemoKpXKmqXWCDdzlmUrS02j0RQUFJimViubuTE1B97My60wpqlptdqCggLTVdeYGsdxs2fPJubgb/AIIYSQA8ICjxBCCDkgLPAIIYSQA8ICjxBCCDkgLPAIIYSQA8ICjxBCCDkgLPAIIYSQA8ICjxBCCDkgLPAIIYSQA8ICjxBCCDkgLPAIIYSQA8ICjxBCCDkgLPAIIYSQA8ICjxBCCDmgBvQ8eKKI375mf6qecu/+6usDmjC2jgchhBCyXw1nD57kn/69oNd7ixa/Enjx99t6W4eDEEII1bazZQqOkPpZVsMp8Hx2lhAW7gR0YKRPSVZpPeWPEEII1Y+/5Yohd++vzSuon8XV2yF6NuPSVb5d9wip4S0pubH1+w0nHpRJw7pPfGtG72AREAJAPW4VsL4jhBByIGUcPykhsbWL8wx/3/pZYj3twesyjm1YczRR+7huE9Wljd/9HTBt5YYf5rdP//mH4/kEmOAmTFamHkhhRqlXiBdVP4EhhBBC9eDNh8n5LLu5eVMpXU+VlyJ1/WMAyT+xYunGy7kKPu7Nn5cM8qAAQH/56xn7opZ/NjKAAvW5/8061vbbj4d4Km9vX3+0gCLiNi/NHPj4JLuCgoIZM2Y8jpWiEhISWJatbFE0TS9YsGDChAlWhiYIAiGEYRjjW9pk3E3fEkIoiqqsyRBbtZrK9Wl50TXo3/Ki6zS1ao2qfaVWrUXXbv8NalRrvX9bbQuEEEEQjKPqSKlVnLLetoV6GFV73My3lcpnZ2R/Hxr8UnE+Hx5JicVm+zdNx/A6Pj5+xowZLMuWy9RURETEqVOnKn5e94foKf8B81cPYC+vnHb4yUekODuXDu7tQwEASINDvAuy8wTwcoubOC+u3NxSqbRr166G10lJSe3bt3dxcal0URQVExMjfjJwVWJZVhAE4/QsyxpfE0I4jjO+5TiOYRjj4Or1emMTz/MURRm/IdOmcv8pmzYRQnieF4lExkWLRCJj/6aRcBxH07TZ/nmeBwCz/QuCIAiCaf81SM3Coi2kVnFU6zS1cqNap6lVHNV6S43jONPUyi3aytRqa4Wx0L+FbcHCt2ZhW6jT1DiOI4Q8fWqNcDO3sC3wPG/6PwBu5gDwQKlalJU72ttzqlYh2ruNHTAEuvU0m5rpCmNILTg4uH///jqdrrI/mwghxcXFYBapH/pLX7285GipQAghhE/dPnfm+ruc4U323gXTVt9kq+5j48aN165dq8WgFApFcXGx8a1cLjd864QQnucVCoWxSalUGv4vMCgrKzO+1mg0Op3ObJNOp9NoNGabOI5TKpWmkfA8b3gtCIJcLjc2qVQqvV5vthOtVqvVas026fV6lUr1lKmp1eoapKZUKouKiqxMzfBnaXVTU6vVZps4jrM+tcpG1UJqLMuWG9UapKbRaGqQmkqlKiwsNL5VKBQ1SE2r1VqfmukKY31qFlYYC9+ahW3B+tQqG1ULqanVatNRVSqVNUutEW7mLMtWlppGoykoKDBNrVY2c2Nq9rWZ5+v1BwqLWv99tenfV8vkCt1nH2m/Xa42id/CCmOamlarLSgoMF11jalxHDd79mxijk2ug6ekUom+4PEP8kSj0UukUvzNHSGEkP1LVGuOFxReVKouK9UPNRoA8BOLDrVpKdu7TdBp6RlvCUw93efFNgXeOzhQuJJTSsCXAn1eTolfqwArzjnIyMiIj48/fvw4AAQFBU2ZMqXOI0UIIYSqkq7V/VZYfCkr91RpWbZOTwPEOsv6erovCg/p7u4WxLGu8Te4hHjxxKm8pxdw3NMv8eTJkzdv3gQAQkhubq7ZaWxzJztxq+7t1+08ljxgYmTpmeP3wrtP9rRiDz49Pf3QoUMajQYAmjRpMnny5MrOOEAIIYTqlFYQ/iotO14mP1JcmqBSUwCtXZzH+Pr08/Lo6uTkIxZJpY+vC1ckZXJ//MZ0eYZu15Gv/Dzxatm2bduBAwcAgKKoVq1amZ3GNgWecuky472MVd/Pe0Mr8usy893B/tYU6h49erz++usdOnSo8/gQQgghc0o57lBRyf7CoiPFpUqe9xOLB3l7Lg4L6SZimvp4G6bRarWGF6S4SEh7JD5+hPLyFo0cXYthrF+/fuPGjQDA8/zcuXPNTlNfBV7cZe7mLibvKdfYsYtWjq2npSOEEEJPoZjldhcUbs/JO6dUsYTEubrMDvQb6efbxcODpgAA5HI5AIAgkOxMKvE+pKXoM9OJUgEA4OUtnjIdxJJ6jrkBPWwGIYQQalBUgvBbfuGOgqJjJSWcQLq6unweFTHK1ztK5qRWqyUSiaG6k9wcJv4mm5UhpCSDVgMMA8EhdIfOdFgEFR6pAMrJ3b3+g7enAp+YmHjs2DFXV1cAaNKkyUcffWTriBBCCDkgAnCuTP5zTt7O/EK1IHRwc/1vZPh4Px8vlnVzczNMQ2m1JPEel5woPLhHykpFDAOh4cwzveioZvrAIEoiFT35DR4MO/e1auvWrRcuXAAAQkheXp7ZaeypwCsUigcPHhheZ2dnk8pv64MQQgjVQI5evyEnb0thyUONJkQqeTvA75UmQbGuLgBACFGyLCkrExJuC3fj6UcPBZ6nvH3olm3oFrEq/yA3H5/HvTz5Db7u3L9//9q1a4bXXl5eZqexpwLfsWPHV155BU+yQwghVOvOlsm/z8rZW1BEU9Tzvt7fNot81stTrVS6OMsAgJSV8jeviW5e0+dkAQAdHkkGDBG1bisKCDTMTupgN92CTz75ZNmyZdAgTrJDCCGEGh6WkE2FxT8mPrqtVEU4ST8OD3nZ2zPU+JO5Wi3cucnfui6kPgKahoimotET6JZtKFc3Vq0GSX2fN1ctWOARQgg1RgRgV37hv1PSkjXagV6ev7WOfc7Hi/C8Xq8HQRAeJPBXL0nu3eEFgY5sKnphPNW6rUogsie/wTd89lTgDbcgLikpAQCZTObk5GTriBBCCNmlvxWqD+49PF8mH+Dl8VN4SO/AAMPnXHEh9fcFffwNIi+j/AL4vgOlnZ9hvLzA8IgXpdKmUf8/w+MAAIDnea6SW+PZU4E/f/783LlzFQoFAPj4+BQUFOBJdgghhKrlolyx5FHq8VJ5W1eXI3GtBnt7yuVyIER4kMBfOCsk3qPEYrptR7pzNzo8UqdQUJU/wtSGxo8ff+jQIQCgKKp79+5mp7GnAt+yZculS5eGhoYCQGBgIFZ3hBBC1rsoV3ycmn60uDTayenn6MipTYJpCoDVM3+f09+4QoqLqMAgeuQYtmUbkaf589Ibjs8++2zq1KkAIAjCwYMHzU5jTwXez8+vTZs2eBY9QgiharksVy5KSjkpVzZ3lm2KaTbOy4MihCYCf+Vv/vgfIqWCat1WNO4lOiqa4zjQ620db9ViY2Pj4uIAgOf58+fPm53Gngo8QgghVC331JoPUtL2FRRFSaW/xDab5O/HUJRerxeSEvXHD5GcbLpZC92EyW7RzW0dae3DAo8QQsgBZej0y1IzNucXBkrEa5o3Hesi8/HwAAAh8R4c/4NKT6UiokRvzqXDIzX1ewl7vcECjxBCyKEoeP7z9MyVGdkyhv4sMnx2SJCMpuVyuZB4j//ziJCWAkHBZOJUcbuOto60btlTgU9ISNizZ4/h6riAgIBVq1bZOiKEEEINCE/Iuuzcj1LTSzjuzQD/xWFN/GQyABCSEiWHf2OzMqjgEPHU17imzQkhtg72qXz//feGe9EDgEqlMjuNPRV4w3XwGo0GAAyPnEEIIYQMTpWWzX6QdFejHePn87+oiGAgIpGIZKZzR34XHj4gAYGSqa/Rsa2BokCvBzsv8DqdznBXGABgGMbsNPZU4OPi4l566SU8ix4hhJCpLJ1+fnLK9vzC9s6ys+3b9PRwBwBNRppw6rg+IZ7y9hVPekUZ0VTm4WHrSGvNvHnzFi5cCHgveoQQQg6JJWRdVs7S9EwGqK+jI6e4uXh5uBOVij9+mL50HlxcRS+MZzp1A4api2e2NnBY4BFCCNml82XyGfcfJmq0M4IDP4sM9xGL5MXF/JkT3KljwAukzwCmd3/GuSHeh65+YIFHCCFkZ+Qcvygl7YesnDbOsgvt23T1cAcA4e5tyYE9XFkp06kbM/g5rUgMokZd4xp18gghhOzO0TLFvDv3C/TshxGh7/h4uzvLSFEB99se4UECCY+UTp1JBTcBANBobB2pjdlTgddoNNnZ2Z6enuU+9/Pzc7Of5/chhBCqmWKWezMxaUdB0QAvj5NtWzeVOalKS4UTR7kzJyiZTDT+ZVV0C0c6k64clmUzMzMBQKvVikQikUgEAIIg6HQ6s9PbU4G/fPny+++/b3ianKnBgwcfOXLEJiEhhBCqH4eLSl5LTFLy/PcRoW9EhFEAQuI90Z7tgkLO9OgjGjgUpFLHPpPu888/X7JkSbkPHeRpcnFxcd27d4+MjCz3ebNmzWwSD0IIoXqgEciHySmrMnOe8XD/qVlUEyCgUnG/7+VvXCFhEaKpM0WGY/KObs6cOc888wwA6HQ6hmGMe/Bbt241O709FXgvLy98mhxCCDUql+SKF+8l5rHcyujIOSHBAs/rrl1mj/xOeF40YrS2XSexTGbrGOuJh4fHwIEDAUCj0YhEIrFYDAA8zzvC42IRQgg1HgKB5RmZH6akt5Q5HY5rFeviTBRyftdW5kEC1SpOPGoc5e4BldylFQEWeIQQQg1QAcu9/jDhSHHJ7JCgD3y9fZ1lwq3r3P5dQAE/ZqK0i/lfnZEpLPAIIYQalj9Ly6YmJhOgDrSJHe7jrcjP5/ft4C9doFvEUi9MEMQSWwdoH7DAI4QQaigIwLK0zI9S03u4uW5rFRMslQhJiZLtv/CsXjRuEtOpG8/zeIG7lbDAI4QQahAUPP/q/Yd7C4reCg74b0iwu1jEHT3InzpOQsMlE6fS3j62DtDOYIFHCCFke4la3ZT7SRk6/Y5WLUZ5enBFheymdUJaCvNMb3Wv/tIKtzhDVaJtHUA1nD9/fsSIEd7e3t7e3u3bt7d1OAghhGrH/sKiPveTCMDljm3H+flCwh1qzUpSUiSeOVs0cgxU8rzzxuyNN94wVEN/f/+bN2+ancae9uCDgoJGjBhhuFVtxdvdIIQQskdfpGctepQ62MN9R1xLN4ri/jggnDkBzWLEE6dQjfhZcJaNGjXK19cXAAghDx8+NDuNPRX4qKio559/Hm90gxBCjoEjZG5i8prs3DkhQUv9fFy1WnbbJiHpAdWrn9BvEOXsbOsAG67BgwcPHz4cAHienzt3rtlp7KnAI4QQchjFLDcxMfm8Qvlds6i3mgQpE++ze7eDTiee9jofGQ0cZ+sA7R4WeIQQQvUtVasbdPd+Eccda9uqn6cHf/2KeM82CAgSz5pDeXnzLGvrAB0BFniEEEL16rZSNTQ+QQRwqlVMnIe74Vo4vmWc86QpIBLbOjrHgQUeIYRQ/flbrhgenxAgkRyIiQ6hKXb7ZuHWNabPAN0zfbC61y4s8AghhKkzatEAACAASURBVOrJ4VL5tNSMOFeXg21i3eRl8OsGIS9HNOFlpn1nx36Uu01ggUcIIVQfNuXmT09JH+bttaNVC6fCAv2P3wPPS15/hwoNt3VojgkLPEIIoTr3U07ezAdJY709f20dQ2eksxt+AGdnmP4mFRBo69AcFkUIsXUM1vrpp5+aN28eFxdXWx3yPE8IEYlExreMyf2STN9aaBIEAQBomq5Wk/X98zxPUVR1+yeECIJgZf80TVMUVa1FE0IIIWabeJ4XBEEsFlvTf2VNFvov18RxnPEbrJh1Zf0LgkBR1NMvmmGY6vZv+VurLDXLo2o6Za0sulwTz/NW9l+zRVe2rtbKoi30LwiCIAimg1yDFaa2NkP72swtbGuCIPA8X25d/aW4dG561hhvz++aBMoy08W7fyU+frrxLxOZc3W3NQfezMs1mfZPCOE4zjiqpk08zy9ZsmTVqlVQEbEfGzduvHbtWi12qFAoiouLjW/lcrkgCIbXPM8rFApjk1Kp5DjO+LasrMz4WqPR6HQ6s006nU6j0Zht4jhOqVSaRmL4a4MQIgiCXC43NqlUKr1eb7YTrVar1WrNNun1epVK9ZSpqdXqGqSmVCqLioqsTI1l2RqkplarzTZxHGd9apWNqoXUWJYtN6o1SE2j0dQgNZVKVVhYaHyrUChqkJpWq7U+NdMVxvrULKwwFr41C9uC9alVNqoWUlOr1aajqlQqa5ZaI9zMWZatLDWNRlNQUGCa2uqMLOrUuen3H/ICUZz/S7voXf3aVUSjqdZmbkzNgTfzciuMaWparbagoMB01TWmxnHc7NmziTn2dC/6M2fO9O3b1/BnS0hICLGfYw8IIdQ4fZ+b/1ZSyqzgwPUtosnfZ8UHdtNt2ounvwFOTrYOzb69+OKLhmooFouvXbtmdhp7+g2+efPm7733XlBQEAAEBQUZD4wghBBqgNbn5C1Mz3ojKOC75k2Fc6e5g/v49p2l418C/N/7qb333nuDBw8GAELI6dOnzU5jTwU+KCioTZs2eC96hBBq+PYWFL2RmDzJ1/vrphHCXye5Q/uZrj10A4Zgda8VnTt3fuaZZwCA5/m7d++ancaeDtEjhBCyC8eKSyfdS3ze13t1ZBicPckd2s906yl6YTxW9/pkT3vwCCGEGr5zKvXEtKw+nu5bY5uTY4eFU8eYPgNEw563dVyNDu7BI4QQqjU3VOrJaVnd3N32t44VnT9DnTpGYXW3ESzwCCGEakcZx7/08FG4RHygTazkxlXu0H7S5Rl60HO2jquRwkP0CCGEasebD5PzWe54VJjLvTvs7q1M+876ISNsHVTjhQUeIYRQLVibnbs1r+Cn6IiY7Ax2/w66ZWvRuEl6rdbWcTVeWOARQgg9rTsq9bzklFcD/SepFbB/Bx3dXDzpVaDxV2BbwtFHCCH0VNSC8OK9xBCp9OuQQGrXr8Q/QPzydDC5MT6yCSzwCCGEnsq8tMxUrW53yxayPduJXqcZPgaePBYF2RAWeIQQQjW3Pb/w16KSr5pGtLxxWUiIp0aMETw8bR0UAsACjxBCqMYydfq3HiY/5+n+Gq/j/jjAdO9FWre1dVDoMSzwCCGEakIgMOVeooiiVgUH8ju2UH4BoudG2Too9P+wwCOEEKqJz9MzT5eWbWjRLPCP/UReJp48DX96b1Ds6TI5hUKRmJhoeAy8l5dXVFSUrSNCCKFG6qZK/XFa+jshwYMfPeAS4pnxL1O+/rYOqhHJy8vLy8sDAEEQ1Gq12WnsqcBfv3599+7dCoUCADw8PEpKSvCR8AghVP9UPP/qo7RmMtl/vdy4X1YLsa3F7TvZOqjGZcaMGUePHgUAiqK6d+9udhp7KvAdOnQYNGhQs2bNAMDX1xerO0II2cSClPQMPXulfYz4l3XESSY894KtI2p0Nm7cmJWVBQCCIKxdu9bsNPZU4N3c3Jo3b96hQwdbB4IQQo3XH8UlP+bmLwtrEnPxDJ+RJn7tbb1MZuugGh0fH5/AwEAA4Hne2dnZ7DR4kh1CCCFrlXLczAdJPdzd3tKp+VPHmX7P0k2b2TooZB4WeIQQQtZ6PTFZzvMbw0PE+3dQQU1EA4faOiJUKSzwCCGErLItv2BHfuE30VFhxw+CWiWeNBVvON+QYYFHCCFUtRw9+/bDRyN9vacU5wk3rvLPDsPr4ho4LPAIIYSqQADeTs9igFobEsTt2U5FtyAdutg6KFQFezqLHiGEkE38mJP3p1yxt3WMz+97BJ6jR08AvFC5wcM9eIQQQpZk6fTvJ6dO8PYcmZIo3LklfmEChc+LswdY4BFCCFWKAEx/8FBG01+4u3AH99HtOtJt8WYk9gELPEIIoUqtzc49Wlz6fbNIv0P7KIlU/Pw4W0eErIUFHiGEkHlpOv37yalTAv1HJt6lM1JFYydBJTdNQw0QFniEEEJmEIC3U9JcGeYrbw/uyEG+bUe6Raytg0LVgGfRI4QQMmNtTt6fpfKDrWPdd28mMid+wBBbR4SqB/fgEUIIlfdIo/13etbLfj5D7t0SUh+Jxk4iTk62DgpVDxZ4hBBC/0AAXk9MdqXp5e4y7uhBpmsPujkenLc/eIgeIYTQP3yflXO8pHRXi6Ze+7ZRrm6iYc/bOiJUE7gHjxBC6P+lanWLH6W9Eug/8n48pKeKxk4CqdTWQaGawAKPEELoMQIw80GSK8Os8HQlfx6BTt3o6Oa2DgrVEB6iRwgh9NiPBUXHS0r3tWrhtnuL4OpKnh1m64hQzeEePEIIIQCAFK12SVbulED/EQm3hLQU6vlxeHDermGBRwghBATgtQdJ7iJmpacrd/ww07UH4MF5O9fACjyXvn/N3jTB1mEghFAjsy4790RJ2ZchQW77duCZ846hARV4UnJ9x9ffHUrS8sTWoSCEUGOSpdP/61HaywF+z9+7LaSliEa/iAfnHUADKvCUV4cJc2f08qVsHQhCCDUurz1IElPUCi830dmTTNcedPMYW0eEakF1Cjz7988rjqbrHr8jioQdH31/lq1inoxLF1N1xrek5Mavn86ZNnnqG//+4a9sDgD49NOb1q37+c9HfHVDRwgh9PQ25Rf+UVyyplmU174dxNkFD847jOoUeCYiivt5fL+XV55JvLVz4dCe0/7wbR9j8To7XcaxDWuOJmofH3Mnqksbv/s7YNrKDT/Mb5/+8w/H8wkwYX2nzpw5bWAU8xRZIIQQqolcll2YmjHe33dU4h0hLYUb9jwenHcY1bkOng7su3D7wfZz+gyNXSDt8emJk//qUPmDgUn+iRVLN17OVfBx3Z58xt79+4b/s8vbeogoj2HDYn87dr10yBAvi4fkFQrFxo0bDa/v3r179uxZDw8PC9OPHj26Xbt2VibEsqwgCCqVyvCW4zi1Wv04fEJYljU2sSxLCKEoyjil6VwURbEsW7GJ53lCCM/zFZsIIaZvWZZVq9Vm+2dZlud5vV5vtn/DJxWbBEEwLL3+UzN0aH1qNE1XNzUDs6NqfWocx1U2qpWlZnZUq5uaYVSrm1rFUQWAuk7NOKrVSs3CClPZt2bltmA5Naj+tmCY3nTRgiDULDX73czfTk6lAf7nLGW3HoT2nfVhkdavMGZTM0xf65t5zf4Hs6/NvOIKQwgpLCxcvXq1YeUUiUTGTiiKMkRFCMnMzARzqlPghfSDi2Z+cK7JWydSB5f98v6sgVNe/nLFnGf8zFZoyn/A/NUD2Msrpx1+8hEpzs6lg3v7UAAA0uAQ74LsPAG8THfdmeZTFv3jwgytVvvnn38+7pKiEhISjNuYWZGRkS1btrQ2IUEghBi/fkEQjK/LvTWsUsYm07kM64FxRanYZPwiTZvKvRUEwbT/cos2fJc1WLRNUqs4qnWRWmWjan1qPM9bWLTZ/iuOar2lZviwskXXRWoWRrXWvzULK0y1UqvutkAIKTdlfabWEDbzQ2Xyw2WKNaHB/n/sB6lU23vA028L5ZpwM69WauWmZFk2JSVl7969hr85jMsqJyIiwuznj1dxq+ivbP3hbA775K0qcd8na87qLc9y6auXlxwtFQghhPCp2+fOXH+XM7zJ3rtg2uqbrKW5y9m4ceO1a9eqMUNVFApFcXGx8a1cLjcUJ0IIz/MKhcLYpFQqOY4zvi0rKzO+1mg0Op3ObJNOp9NoNGabOI5TKpWmkRi+P0KIIAhyudzYpFKp9Hq92U60Wq1WqzXbpNfrVSrVU6amVqtrkJpSqSwqKrIyNcOfqNVNTa1Wm23iOM761CobVQupGfYbjG/lcnkNUtNoNDVITaVSFRYWGt8qFIoapKbVaq1PzXSFsT41CyuMhW/NwrZgfWqVjaqF1NRqtemoKpXKmqVmp5u5iuMjLl7pde2W5q+T2vdn83dvW58ay7KVpabRaAoKCkxTq5XN3JiaA2/m5VYY09S0Wm1BQYHpqmtMjeO42bNnE3Ms7sEL+Xf+is8zOfvNPxrunjlx98lb9/79W1fjEAAllUr0BY9/kCcajV4ileIp8wghZAsfpqZl6/X7gvyo/ZuZjl3olm1sHRGqZRbrM3dzw9zp629nKgSgaBFD8RxPKEYik0kMvzkwkbOPXPusm9jKZVHewYHClZxSAr4U6PNySvxaBVTnJD+FQpGYmEgIAQB/f//Q0NBqzIwQQuiJeJV6VWbO4vCQ2GMHQCwRjRht64hQ9ZSUlGRkZACAIAjGExTKsVhgJf1efTFUHD1uxdH7hWqdXl2UeHzl+Jjw4WviSxUKhUJRetv66g4AIG7VvX3eyWPJWsLnnjl+L7x7B8/q7MFfv3595syZnTp16tSpU5s2bciTkyAQQghZTyAw60FShJPT+6UFkJRIDX8BZJWfMY0apKlTpxqqYdeuXe/du2d2Got78OzVTT9njP7m+LxBLgAA4NVs4Ls/f3Uvds7qqy9+0bX6D6KjXLrMeC9j1ffz3tCK/LrMfHewf7WO0MfFxXXv3j0yMhIAgoODKzvdACGEkAUbioovyhXHY5uJflwlRDenWsXZOiJUbWvXrk1MTAQAQRC2bt1qdhrLv8EX5hU6+btLTD+TeHjKCrLzeOtOwBd3mbu5i8l7yjV27KKVY62Y0wwvL682bdp06NChZrMjhBDK1es/zsp9KcCv74XTvEZNnnvB1hGhmggKCgoLCwMAnucPHjxodhqLh+jFbbu3z/t12Q83yx6f0C+U3V63bEtGbPuW+Bx5hBCyQwsfpQHAl84S/vIF0cCh4OVt64hQXbFYqOmwV7/54uiwdzpHrercOdYPCu5dufKI6r704GvRtrjvXEFBwenTp5OTkwEgLCysa9euNggCIYTs1kW5YnNu/udNgrz37wS/AKZXPzC5CBvZkeTk5Pj4eAAQBKGkpMTsNFXsiTu1en3v7X7Hd+85eSOtmItqO3TeyBef7xRQnTPrak9CQsLu3bsVCgUAeHl5FRcX2yQMhBCyRwKBdx4+inVxnplyn+RkiWe+DQzeI9xevffee4cPHwYAiqK6d+9udpqqD7XTHi0GT188uJZjq4kuXbqMHj3acKM6Ly8vW4eDEEL2ZF1O7hWF8kR0uNNvvzKdu9FRzWwdEaq5bdu2FRYWAoAgCMuXLzc7jT39li6TyYKDg6OiomwdCEII2ZkSjvswJX2Cv2+vM8cFsUg0FB8ZZ99kMpmhGvI8L63k+UAN6HnwCCGE6siHqRlqgV/GEOH2Da7fIHDGC98dHxZ4hBBycAka7Y+5+f8ODWlyeD/VJJSPw4uNGwWLBZ4999m4z8798+FtpPD3RZO/qdOYKnPt2jXjnezGjh2Ld7JDCKEqEYB3UjMinKTvZiaTvBzRiNFA466d3fv0009reCc7UnZ9x4ZTWbrbOw/devCV9JLJVFzmkc1/NFlWF/FWxfAbvJOTEwBERETgnewQQqhKO/MLLypV+5qGMT/tZDp0piObglxu66DQ0zI9I834CPlyKinw6qSzB/bf1hdlsQX63/c/MqmkFO3UZ9Gs2g7VKi1btpwwYQLeyQ4hhKykEYSFj1L7urs+d/EvQRCYoSNtHRGqHdOmTZs1axYA8Dw/d+5cs9OYL/B00PjvT44H/YlFQ/4ceGTZAInZqRBCCDVoy9OzsnT63e7OwvXLoudGUW7uto4I1R/zBT4t/rbGNzomsNPr3/iW3rt1q1wz7dm2TXjdx4YQQqjmsnT6LzKy3ggObH14N+UfwDzT29YRoXplvsAv6NLhxtvnEj7NXNBl3C5thWancUSzs64jQwgh9DQWPkqVUNQHZYVUdiY97XW8b11jY77Aby1TC7RYLOqytUy7ueK56pRt1pKcnJzU1NSrV68CQHBw8PDhw20SBkIINXxXVOqteQXfRoV5bl4ntGhJRbewdUSoNl29etVwL3pCSEFBgdlpzBd4kcTwqzslkkipoluH9v4Znx866v3nXBNzPFpEe9ro9neJiYnGe9EHBwdnZmbiifQIIVQRAXg/PSvGWTY94RZRKYVnh9o6IlTLli9fvm/fPrB4L/oqrobU3187um3XSR8sX/7Z7nts3p5ZrcM6vLbzEWt5rjrSp0+f06dPE0IIIVlZWVjdEULIrK35hVdV6hUBPvTZU0zPvsTb19YRoVq2Y8cOQzVkWbZjx45mp7FY4EnetoWLbvfbfC95zTBnCpiodw9e+E/YoVnvbKmTeBFCCD01NS8sTkkb7OE28OwJyslJ1H+QrSNCtmH5TnY3zl7yH/f2C6FPHg9Le3Z4a8nUoL/P1ENkCCGEauCLjMxcPfupCIQ7t5jBw8FJZuuIkG1YPkTPMIxOoxFMP+JVSo3E/INrEEII2VaWTv9lRvabwYGtT/xBBQUznbraOiJkMxYLvLjzc8/qd3z69eViHgCACPJ7O9+b9ws7eET9BIcQQqhaFj1Kk1DU4qJcKicLbzvfyFk8IZ7yHPHFxmmjJvUIl9O85M+mvopcTcCgD7d9+Vx9hYcQQsha1xXKX/PyV0aEeW1Zy8e2pqOa2ToiZEtVXPFG+T/7+bnkWVf/vpaQVsr4Nu3Ys2dLP5KbDRBcP/GZunTp0rJly1i2/Dn8I0eOXLlyZf3HgxBCDcrc5NRmzrLX7t0iapUwYLCtw0G1bPPmzZ988onh5HkAMF5KFhYWZnZ6iwWePf/LFo+xr7aO7DIosgsAAOgzT345cc5ycidve62GbRUvL6+OHTu6urqW+7yySwARQqjx2FtcerZM/ntEKP3br3TPvsTLx9YRoVoWExPz7LPPCoLAcRxN0zRNAwAhJC8vz+z0Fgs8Ufy1eNy2skO73m3vCvrMk98umPOfXRmh4z5cXRehV6l58+ZjxozBp8khhFA5WkFYkpX7rJfn4PMniJMT03cgCBXvQorsW+fOnbt06QIAGo1GJBKJxWKowdPkHpMMXrF/9gsjh4zIXzIoZfXnuzLCxn947Mic/iH4dDmEEGpAvs7MzmTZ/TKREH9T9MIEcJKBWm3roJCNWf4NnvLouujAEdm4YXM+IP2XHj2ycADWdoQQaljy9eyy9MwpPl4tj/4O/gFM525C1TMhx2e+wKvlZazx6E7Uqz/v1k0e+835m5klndycAIASe7g711eECCGELPkgJY0Q+KCsgGSmi6e/CTQNApZ4VEmBfyXA08xTYud3D5wPAPi4WIQQaigSVOoNufn/CWvSZOt6OrY13TzG1hGhhsJ8gf/69v3/WPj7j3aro2gQQghVy9zklBCp5O2ku6BSMcOet3U4qAExX+CDm/3/k4OJviw3t0xPTE7IpPCHeIQQsr3DpWXHiku3R4SKD23nO3aV+PnbOiLUgFg+yU5I3zl9yLRf7qv+eb2FjQ7RJyYmHjt2zHAdfFBQ0NKlS+s/BoQQaiA4Qj7KyO7m7jb67zMCI+J79bN1RKj+/PrrrxcvXoSaXwfPXVv90U5m8tZrC3sHy0xuaEw51WaYVlMoFA8ePDC8btKkCSEEHwmPEGq01ubm39doL/h6CDevioa/oJfhuc+NyMOHD69du2Z47eXlZXYaiwWez8kuavfK/HHtIxrE4wo6duz4yiuv4I1uEEKohOM+zcga7+PV8fgh4u3DdO+FF743KkuXLv3vf/8LFm90Y/lpcnHd2hfG3ynB+yEhhFCD8nFqhpoXPlHLhZRk0fAXgGFsHRFqcMzvwT+4eL5QAACIndR//Zwh0xJmv9A5wkf2ZAWifXt0b2F2RoQQQnUtSaNdk52zMDgwfM8WumkzumUbW0eEGiLzBX7poL67Ta6Dv/PR9C2mzU5jWcW2Og0LIYRQZeYmpfiJxXPTk6CkSDR5uq3DQQ2U+QK/TcFiAUcIoQboZEnZwaLiTVGhzj/tJu06UcFNbB0RaqCqOntOc3/HglG9Zu4oJADsxQ97dRyxcPdDTb2EhhBC6J94Qt5NetTBzfXFq38DEYT+g2wdEWq4LBd41ZlFI6ft1vcc3NaVAhDFjpszktnzypD5f9ZTdAghhExsLCq5o1J/7e1Brlyg+gwAV7yvKKqUxQKvv7Rjj3ri6l3LxsQ4AQDlGTduydYfJnO/7a6n6BBCCD1RynGfZeeN9/ftdvIw5elFPdPb1hGhBs3idfBEo9G5BfpKTT+TePu46zLrNqhK8Dyv1WpVKlVtdciyrCAIxg45jlM/uZCUEMJxnLGJZVnT++rwPG9s4nneMEFlTYZ/yzWV69+waEP/FRfNcZxer6+sf47jKjYJgsDzPHlyg2FDh5X1X1lqHMdRFFVZaoQQs6kZOjSbmjES45Q8z9M0Xd3UDMw2WZ+ahVGtLDXDcq1JjeO4ylIzjGp1Uys3qoa3lfVfW6kZXldcVy2nZmGFMZtaxRXSdFuwPjWwelswpmaY3nTRgiBYWCHrdDPneb7K1D5Iz1Ly/FJ1mZB4Xxj3Esfxdb2ZV5aaYVTNpmaYvi42c0P/DryZW/jWDKGarrrG1EzXgXIsFnhJpwE9ChZ99uOkX2a1caMAQJDf2fj55qxuSy3NVWdomhaLxVKptOpJrWMYF2OHPM9LJBLjOiQIgrFJEASJRGL8IjmOMzbp9XqKosRiccUmw9cjkUgqNgmCUHHRhv4N/w8amwghIpFIJBKZXTQAmO3fsHqZ9i+VSqubGjwZ8+qmZtp/udQMkRhTE4vFzJPrd61PzbQT06ZyX6jl1BiGMTuqFlLjeZ5l2adMzfAtVDe1cv0bXlc3NQujajY1syuM5dQsbAumnVi/LZhmXeupVYxEIpFUtkLafDO/r9Guyy98z98n8vedVFiEuG0HiudttZkb/hwxm5perzdtqsXN3FjqHHUzL7fCmKZmGFXTVdeYmvHPlIosFngq4MWVq08Pn9Eh5L8xsU19mbKUu3fyfceu+eNlS3PVmfj4+E2bNhlSioiIWL9+/VN2SNM0RVHGr9/w2rh50DRtbKJpmmEY4xdpOhfHcaZTmjYZtjGzTYa/+0z7F4lExnXIdErDoivrBADMNhn++3jK1FiWrWzRFlIzZFGnqRn+N6zYZNgRqbvUDIGVa6puaoa/vaqbWsVRrUFqhv8ZrU/NuMJYn5qFbQEq+UKt3xYsp1ZZ/xZSM+y2Pn1q9bOZz09JC5RI5mY+guJC8aSplFhMAGy1mRvTqZiaYbe1LjZzQ2oOvJlXXGGMqRnHyrjqfvfdd0ePHjVMyVRymyPLD5sBUcT4H6/1fuPIgRM30kp5lzGzV40Y2TMcb3iMEEL1aG9B0dHi0l3Rke7rdzEdOlMhYbaOCNkB8wU+Lf62xjc6JpBNu5NaKoAoouvgiK6GptKHt0ppz7ZtwusxyMfi4uJeeuklvBc9QqhR0QjC/OTU/l4eo66c43ieGTLC1hEh23vnnXfmz58PFu9Fb77AL+jS4cbb5xI+zVzQZdwubYVmGz0uFiGEGqEVWbkZOt3+QG/+8gWh77OUu4etI0L2wXyB31qmFmixWNRla5l2c8Wz8yh8qgFCCNWHTL1+ZU7eW02CYo8cIF7eXOfuto4I2Q3zBT711o0iofKZaJ+unaPrKCCEEEJGC1MzZRT1obxQSEkWvzoLRFWcOIWQkfl1ZXHvbmaOzBvhIXqEEKp7x0tK9xQVr4kIcdv2M9U8ho5pBXK5rYNCdsN8gd+u4rZZeAj8k+vwEEII1RG9QOY8fNTR1WXq3ZtEIRfPeMvWESE7Y77A0/T//8pOtEWZ2WV60xvl0K5NIwPqOjKEEGrMVmRmJao1Z8Ka0Ps2M736UX7+to4I2RnLP+cI6btmDH51433VP3fn8RA9QgjVpQyd7rO0zNebBHU+fQRkMlH/wbaOCNkfiwWeu7bmo52SqTtuLuobIjN5LA1VazeLRQghVNHcpBQpTS3Vq+BBAhkzEWrvFt2o8bBY4PUpSTltp8wb0zakqsfGI4QQqiWnFco9BUU/RUd6/LqehEVQce1tHRGySxYrtyg41C/jVnyJhfPtEEII1SK9QBZkZHd2c3353m1SWgLDR+N5zahmLO7Bi+OmLx4wfvbgafdmj+oY7il9spLRfn16tayH4BBCqLH5MiMrWae/FBJI9v7C9OjDBwbZOiJkrywfoj/+6ZwtiVpI/GjGFtPPncayim11GxdCCDU+6VrdZ+mZM3y94/48TGQy0cAhlT4KFKGqWCzw0jHbFCxWcoQQqh9vP3zkytAfqkuFe3fEE6eAkwx0OlsHheyVVU+TK89GT5NDCCEHtq+w6Pei4q0tmvpsXENHRdNtO9o6ImTf7OlpcufPn1+8eLFGowGA0NDQmzdvUnjuCULIIah5YV5SSh9Pj7Hx1wSFXPTq63huHbJg1qxZ+/fvBwCKolq1amV2Gnt6mlxYWNjEiRP9/PwAICAgAKs7Qshh/CcjK1uvPxwaJOzawHfpQeG5dciicePGtWjRAgAIIdevXzc7jfkCL5JIAACAEkmkVNGtQ3v/jM8PHfX+c66JOR4toj1t9DSj0NDQYcOGdejQwTaLRwihunFPo/02O3dhWEj04X3E1ZXv1dfWEaGGbuDAd/wxRAAAIABJREFUgUOHDgUAnufnzp1rdpoq7mCjv792dNuukz5Yvvyz3ffYvD2zWod1eG3nI7b2g0UIoUZJIPBOakaIVPKvsgIhKVE0cgwRS2wdFHIEFgs8ydu2cNHtfpvvJa8Z5kwBE/XuwQv/CTs0650tluZCCCFktbU5uecVym9Cg8WH9tMtYulWcbaOCDkIiwWevXH2kv+4t18IFT+Z2rPDW0umBv19ph4iQwghh5et0y9+lPaij9fgK+eIRi0aNd7WESHHYfkQPcMwOo3mH9fJ8SqlRoKPPUAIoVrw5sNkEUX9TyYhly6I+g+mvH1sHRFyHBYLvLjzc8/qd3z69eViHgCACPJ7O9+b9ws7eET9BIcQQg5sR37hb4XF30ZH+B/aC96+TJ8Bto4IORSLJ8RTniO+2Dht1KQe4XKal/zZ1FeRqwkY9OG2L5+rr/AQQsgxlXD8O0mPhnp7jU+8y+VkUa++DoxtrkBGjqqKK94o/2c/P5c86+rf1xLSShnfph179mzpJ7Y8D0IIoar8KzNbyQvfBXhzuzaQ9p3pqGhbR4QcTdWXtBOOOAXGdA5oAQAA6uy0NKBcwsN86zoyhBByVEeLS7cVlaxqFhV6cC+RSoVnh9o6IuSALBd4IX3n9CHTfrmvEv5xOzsb3aoWIYQcQBnHz0xMfsbVZVZ2upB4Xzx5Bucks3VQyAFZLPDctdUf7WQmb722sHewzOR0PMqprsNCCCFHNTfpURHHHggJIBtW023a0a3jQK22dVDIAVks8HxOdlG7V+aPax9RxQ3vEEIIWeNQUcmG3PxvoyNbnDhEeEE8YoytI0IOy/JlcnHd2hfG3ymp+LgZhBBC1VXKca8nJvXz9HijtIBOiBcNH0V5eNg6KOSwzO/BP7h4vlAAAIid1H/9nCHTEma/0DnCR/bkEg7at0f3FvUVIUIIOYg5SSklHL8urImweoUQGc106mbriJAjM1/glw7qu9vkMfB3Ppr+j7vPO41lFdvqNKz6UcRx2Vpdd1uHgRBqDA6Vyn/NL/yhedPwI78JrJ4fMRqf+I7qlPkCv03BOkIBr8pXuQX7i0vSggJtHQhCyMHl69k5aRkDPT1mlBZwt64zYybq3fHgPKpbVZ09p7m/Y8GoXjN3FBIA9uKHvTqOWLj7oaZeQqt7zjSlFvAEA4RQ3SIArz54yBLyY2gwv2c73SyG6dTV1kEhx2e5wKvOLBo5bbe+5+C2rhSAKHbcnJHMnleGzP+znqKrYy40oxJ4W0eBEHJw32ZmHy4qWRkWEnR4H+E40diJeHAe1QOLBV5/acce9cTVu5aNiXECAMozbtySrT9M5n7bXU/R1TFnnVYrEJ7gTjxCqK7cVakXPUqbFRw4Lied3LklGjmG8vSydVCoUbBY4IlGo3Pz8/3Hw2El3j7uOm1lc9gX17RHBEAjCFVPihBC1acVhEn3EkOk0uV+3swfB6jY1kzHLrYOCjUWFgu8pNOAHgVbPvsxXvF4H1eQ39n4+easbn3qI7S658IwAKDk8Sg9QqhO/Csj+4Fas6Nlc6ddW4CmmdETbB0RakQsPy424MWVq08Pn9Eh5L8xsU19mbKUu3fyfceu+ePlughFyD+7dt0ZpVjQ+w1989XOXnX/E5UbQwOAksc9eIRQ7futqPjH/MKvoiPjrl7kHiXxEyaLXd1sHRRqRKp4mpwoYvyP13q/ceTAiRtppbzLmNmrRozsGe5cF5HwqSdO0MMXLWhHLq/68kxux1FBdX5/XJlIBAAqlgUZ3l0fIVSbUrTaGYmPBnu6vwMce/ww07Mv2yzG1kGhxqXKIqpJv3FN337G+0uXzOiou7L7u2XfHk7T10UkTPjoha+2lRJ1+sNi9wDX+jjF1NlQ4PVsPSwLIdR46ARh3N0HrgyzPiSQ2/YL5ecvGjLc1kGhRsdygefurhzarterP93lhEfrZkz5/jZPPfhhwohPrtZeAHz66U3r1v385yOekYpKr279csVRz4nTurnVR4F3FUsAQKl3kHMGEUINxLtJKbeVql9jov2OHiKlJeKJU0EktnVQqNGxeIievbrph7s9191YO1SUuWr3lZj5V3b/K/T4azFvbYFPO1nXP5tx6SrfrnvE4zPxScmNrd9vOPGgTBrWfeJbM3oHi5iwvlNn9gUAorj604/xnWYt7uDDWOqxFsnEYtDwKp2unpaHEGoEduQX/pCd+010VPeURP72ddHoCVRgsK2DQo2RxQIv5GUXNunQMZAhZedO3Y4YvDKaAapJqG/pQyt712Uc27DmSrdvukVIKQAgqksbv/s7YPbKf7Uo3P+f//xwPObjof5PdtV18af+zirNW/3ZIaAD+86c0cuPAgC9Xn/z5k3DFKmpqRqNJj8/v7LF0TTdqVMnNzdrT2NxFosAQK7RsiwLAIIgsCxLURQAEEIMbx+PhCBwHCc8uaCOEGJs4nne9G25JtNOTJsEQajYv4VFG2Mu1z8AmO3fEK1pJzVLrbL+LadW7q3l1MiT+xBYnxrP89aPqoXUKhvVylIr11Tj1CiKqm5q5QakxqlZua5WucJUlpqF/qv1rRkXbX1qYN26apqa2VGtQWqm/T/UaGc+fDTC2/N1RuD37RJiWwsdughP/odxmM3cwrZQrVG1kFrFFcbQvwNv5mZTY1n24sWLarVaq9W6uLgYmliWpWmaYRjDZHK5HMyhiIXbvPB3/tO518mXL+wdfmx8l29a/X7/61508qrBHdd0LU34rNK5Hkedf2LF0o2XcxV83Js/LxnkQQGA/vLXM/ZFLf9sZAAF6nP/m3Ws7bcfD7F8tnxubu7w4Y9/u/L19b1w4YJCobAw/YIFC95///0qYntCyMsJKJCvcJFOiYywchaEEKqMShCGPErXC+REeBP/bRsollVPmUGkeA4vqrlTp06NHz/ewgQURXXr1u3ChQsVmyzuwTOtZi4Zu2ViG98FxLXH8m+60Tc/793/o3vtl39XdVCU/4D5qwewl1dOO/zkI1KcnUsH9/ahAACkwSHeBdl5AnhZPCDv4+OzefNmw+sDBw5Mnjy5WbNmlS6TomJjY52crN2cNEq5NK+UoyhPT08AUKvVMpnM+EeiVqt1dn58wYBGo5FKpTT9+JQFlUpl/EtKr9dTFCUWiys2sSxLCJFIJBWbBEHQ6XQymczwVq1WOzk5GfonhGg0GuOitVqtSCQSif6PvfsOaOJsAwD+3F02e28QUBAEBVTce+Hee4866kSr1da2ftZata5q665bnFXrrorFOlFRQREBQVmyZ3ZufX8EacQQEIEAvr+/ktzlvee55PLk1vtytC4aALS2T1EURVElq6JyqSmVShzHPzY1uVxOkqSxsXFFUuNyueo/oR+VGk3TfD5f61qteGoEQWhdqzpSU//v1lyrNZaaQqFQKpUm78YO11x0xVPTsegPUyvrC6M7NR3bAsMwZX1qOrYFmUxWfakplUqFQlGyVuVyOY/Hq0RqJV+Y2bGv3ihVd/x8HK78xeTnYV/M5hmb1MvNnKZplUqlNTWVSiWTydQ/qlB124JIJKpEanVrMy+1LahTGzRo0JMnT6RSqUKhMDQ0VK8ElUpFEETJHvzu3btBG923yWE2A3dFvJzxKAHcW7Vw4jIprWZu/bv9kC5uOt9VFlapVPGFAvUeOyYU8VVFyvJ6ieVyuV5eXurHDx488PLyCggIqNTStcB4AhFNyRlW/Q3AMIzD4ZR8h3AcL/lmqA+GlHyQ6jnVjymK0pxTc5L6eIvWSTRNl2qfw+GUfIc051QvuqxGAEDrJPWhpFKTPjY1kiTLWrSO1NRZVGtqLMtWcK1WbWrqRZSa9LGpqQ/3fWxqH67VSqSmPs5c8dRKvjAVT03HtgBlfKAV3xZ0p1ZW+zpSUx8L/fTU1F+YDSlpJ7Jzt7k4Not9Tj1+yBk6GpxccIWiXm7mJel8mJr6XEN1bOYlpwDq62ZeVmp+fn5KpVIsFltYWKhXglwu53A46r9lNE2HhISANjoLvDRs1ZSLTTavHdxF/ecId+oyYayuN+iG8fk8VbZCXdNZuVzF4/P1OuACxuOJaEpKo9vkEAT5JHcKi5YlJs1xsBtPq6hzf+J+zYnANjTqJRPRK523yQnsBGknT90rrKLBWDBze1smPb2ABQBQZabnW9nbfExnNuHh4WPGjHF3d3d3d+/QoYOuqwcqhuXxDGlKSqGe7BAEqbwMkhweHdvCyHCDvS3nVAhmbskdOlrfQSH1XHBwsLoaenh4PHv2TOs8OvfgccfRqxc9WjZ89pup/fwdTXjvqjFu2a6NZyUC4jZp47/rxNWEbqNdC25ei3FpM970Y/bgraysOnfurD61Y29vj336eIs4bkAzaMRYBEEqjWTZsXGJDLAnvT2xYwdAKuZOXQzvTr4iSDXp2rWroaEhALAsGx+v/dY2nQVedTm417yTCoC7ods1XxcMZ+UnKhEQZhA4bVHK1t8XzlJwrAKnL+hl/VEl2s3NbeDAgVV4Dh4ADBhagkaTQxCksha8Tn4okYb6+dje/od6GU0PHolZ2eg7KKT+69+//5AhQwCApung4GCt8+gs8PxhJ+SfdhicGxh8SHNsRMzQa9iyTcM+qc0qZcAyElTfEQSplC2p6XsysjY2cGqX9ZYMvUJ06qb08tF3UAhSrJzBZgCAVRVmZBSqNE94YwYuzpbVGFQNEjFsNqAKjyDIR7uaV7Ao4fVkG6tZAi518ADu2pDTqx9IJPqOC0GK6b7IjUk+MbmJubmDi0sDTZ5f1lB077t582bnzp0xDMMwzMnJ6dMvsgMAA4yVsHq9lB9BkDropUw+8kVsWxOjLU72cOwgcHmcsZMAr/YxMBFEbcyYMepqyOVyIyIitM6jcw+eitj2/QlifEjE1x3thRpfXEw/HTN5eHgsWrTIzs4OAGxtbavgIjsAAwDpp7eCIMjnJJ+i+8fEm3M5f3p7ck+FQHYWd9Z8zMBQ33Ehn5EFCxb06NEDAFiWDQsL0zqPzgJPp7/N9Zv01XD/BrXib6mdnZ2vr2/VXmQnAkxSFX8UEAT5TKgYdlxiUi5J3Q9oanY7jIp8zA4agTk66zsu5PMSGBjYrl07AKBpOjo6Wus8Ois3t2lr/5xnz/Or6D742sgAY2XlnKdAEAQpxgJMi30VLpWdaOLZMDGeunoR2ncG/wqOrokgNUr7HnzsvTs5DACA15iuu+cFTXkxd3DLBhbCd73GV/Y++FpIhBNSdNoMQZCK+TYx6XBm1m8ujt3kUtXxg7iHF9ujTz3eBULqNO0FfkXPzqcU/z19/v3Uw5qTBcNI8dFqDUurlJSUZ8+eXbt2DQDs7e3Hjx//6W0aYEBimIpheTg6UI8giC670zN/Tk5d6eo8jouTB3ZhZubcMRNVOA6oLw2kxv3zzz9PnjwBAJZlMzIytM6jvcAfFZN6KODlSU5OvnjxolwuBwB7e/tx48Z9+nV2IoIAAClD8/Dy7xhEEOSzdTm/8Mu4hGl2Nt/Z2yq2bwKK4s6cDwIhqFT6Dg35HIWEhJw7dw4AMAxr0qSJ1nk++ug0m3FkUsdvPzW0SmnXrt358+fz8vLy8vKeP39eJVfRGxIEAEjQmBAIgpTtoUQ6Ju5VT3PT7Y3cyGMHscxMzvipmJm5vuNCPl+7d+9WV8OsrCw/Pz+t85RT4CVPtk1o08je2qqEhfukI+nKaohWP0QcAgCkNDrChiCIdi9l8sEvX3kJhSe8PeHiWSY6iuw7CG9QuVGzEaTm6CzwTNKBRV+HWU/esGVuc67t4LV792ya296+ycL9/6up8KqdiMMBACmJRoxFEESLNKWqd1S0KYc46+UhuB1G3w7j9B3E+DTTd1wIUj7dHd28ePzCccy5JaMDZcTpvZetew7s16+9ILbthtNr21XBBW61gYhDAAVSuQJMjPUdC4IgtUsBRfV59kLFsje8Pa1fPqcunyM6dCE6dIGiIn2HhiDl032InmVYAAwARA09TF+9TKEBM2sZaHs3tGaCK4WiKLFYnJ+fn5+fr77U7tMZcHgAIFbVn5MOCIJUCTnD9nsWk6RQXPL1dklPYU8fw339OH0H6TsuBAEAUKlU+e9QFKV1Hp0FnuPXLuDt0Z9/u5VGuzf1iD9zMkbB5D15/FpkUi3xlufOnTv9+/c3Nzc3Nzd3dHSskr7ohVweAEiU6DpYBEH+Q7LsuMSkJxLJJd8mTcUF2NGDmKMzd+Q4QB1fIrXDyJEj1dXQ2to6MjJS6zw6D9Hj9uN++SV0xDffHOsf9sWMkd/3a269liNnm/7vn2qJtzze3t4rVqxwcnICAHt7+6q5ip7PBbFCSqECjyBIMYaFiTHxN8WSMz5ebWgV+cd2MDGBMZOAw9V3aAhSbO3atRMnTgQAhmEuXLigdR6dBZ5JjSnq/HtktikBOO6+8V5Ev2tRMqc2Pdq4VEe45bKysqryvuiFPB7GslIVusgOQZBiCxNeH8vK/s3FsY+AS27bDFwuO+ELTCjSd1wI8h8PDw/17e80Td+5c0frPDoLPHn/524jzvBdA7sFBfXu3btX524jvOtbt65cnpClpWWcwEAQ5HOz/HXSr6lvN7i7jhdwyT3bQC7jzlqgNDTSd1wI8tF01mv+4D0vH57fOqeT+du/109u38DKzrfH+MUbjtyIr6nwqh3L5RpQlJREBR5BENiWnvlTUuoPDZwW2llxTx5m83K4U2dhVtb6jgtBKkP3Djlh7NI8aHzw6t1nbr/MzHx+LDig8Nqvi8f11U9PdtUB4/ENaVpCowKPIJ+7kJy8BQlvZjvYrXB2JI/sx9JSuBO+wByc9B0XglSS7g7YWUVmTPitf9XuP8/E7Ju2HbmgU5chNRRd9WM5HAOKlKKxIhDk83Y2J/fLNymjrC23uLtSp48yL6OpQSP47o30HReCVJ7OAq/8c6LriJO0beDg0YPnbf+xU4fm7qZ6vIo0MTHx3r17pqampV5v1arV4MGDK9kohokYRor6okeQz9iN/MLRL+I6GRvuaejGXDpLPwrnDBmlbKx9AA8E0ZfHjx+fPHkSACiKwnEcx3EAYFk2NTVV6/w6Czzh3mVY9/ib4U8uHJVmpSS9eZ3YoUOH1k2djAhd76o22dnZYWFh5AfdyspkssoXeAADlpEwaEBnBPlMhReJBz6PaWNsdNzdhRt2jb71D6fPQCKwDequDqltnj17pi7w6m5gSu4Vd3Z21jq/zgLP8Z958OpMoMXJkfdu3759+/aeRWunx0osA+a/ubeyigOvgFatWk2bNq1qb5MDAANgpajAI8hn6YVCOejlK28D4V++XpzbYUzoFaJzD6JTN33HhSBaTJw4cdKkSQAgl8s5HA6XywUAmqaDg4O1zl+Ru94IgZGxkaFIKOBxOTjGqBTKenVA25AFib5jQBCk5r1SKIa+Trbn8S75NhFFPcEvn8NatuYE9dN3XAhSNXQWeDrm6OJxvQKczK08Ok/+5Uqqeac5O8Ne57x9/FNNhVcTDIGVVkWvtwiC1CFJCmXfl68McfxqsyZm8THUySOMpzc+YBjqjBapN3SPJvcm4qHEdcC3s37v1TXQ1Vg/Z96rnQjDpFh9678HQRAdMlVkr6holoVTrk42KUnkkf24WyNqyCjA0U8BUn/o7uim9/qws7/PbYM/P711zYloUpoU/aqg3t0xbohhMvSXHUE+G9kk2TXyeT5FnW/c0C03mzywC3dw5E6YBhzdtw0jSB1Tzt9V1cudQ5q1GrP8l19Wn4ohM/+c4eMc8MWJxHrVc7sIxyRYPT06gSDI+4pops+zmCwVeaOZT2NxgeDUEczKhjtlFvB4+g4NQaqYzgLPZh79ellUl0MxCdv7iDAg3BZcuPuj88UZ8w/XVHg1wYjAZTiOTsIjSL1XQFED4xMS5IqrzZp4yyXYgd2sgRF3yiwQCPQdGoJUPd2DzTy5FW49/K/BTtzz6hdw04DZP0zc2ecmwOSaiO596vvgExISAMDR0bFNmzZV0qwBwWEBZKivGwSp1/IpqmdkdJxCebVpEz9KRe7ZBnyBfOR4oYGBvkNDkI8WHx8fHR0NAAzD5Ofna51H9zkngiCUcvl73bjSUomcx6+yGD/GixcvTp06JRaLAcDc3Dw3N7dKmhUROABIaUZYJc0hCFL75FNUr8joeLn8bCO3QJYhd24BlmUmTmP19GuGIJ9o8eLFly5dAgAMw8ra3dV5iJ7bsm8P1fFVmx/k0QAALFMUc2LRwoNkr/5VH2wFBAYGhoSEJLxTVc0acjgAIGXQHjyC1E85FNX56fN4ueJqU5+WGEvt3QYqFXfabDA103doCFJJx44dU5fCuLg4Hx8frfPo3IPHTPuv2z9l0Jh2LkU4zbvubinOkNv0/O7o+r7VEm95hEKhvb29m5tb1TZryOEABRKKtqzadhEEqQUyVWTvmPhMirrh5+OHscoje0Eq5c6Yh1lZg1yu7+gQpJIEAoG6GtI0zedrPxBVzm0hmHWPNbcTZjy6H/EiqYCwdG/evr23lR7Hm6kOBjweULRUqQRePcsMQT53rxWKnlEvCijqhp+PLzDkrt+woiLO9LmYtY2+Q0OQalf+fZ/Kt1G3b1y99SJdxjF7UwAWNgOaWtSrm8oMuDwAuUSpQAUeQeqT51JZUFQ0B8OueXv4AkPu/g3EYnLcVJ6dvb5DQ5CaoPs+eLbw1nedfDpN23wtUcyyRXEXfx7Twqfv5qf16riWAY8HABJVvbq5H0E+c2EFhe2fRJlyOGG+3h6Uity1FSQS7vQ5rI2tvkNDkBqicw+ejt+1ZENa912RB6Y2Vt9IIovdN6nHvOA9C/6ZWyPh1QRDPh8ApEqlvgNBEKRqXCgonPomtZWx0VmfxgYF+cy+nUCquDPmYdY2IBbrOzoEqSE69+Cpl1GxjqO+mtC45DZRkef4xWMcox5Wf2A1x1DABwCJSqXvQBAEqQLrU9LGJyb3sTC70tTbJC+X3f0bUCruzHnovDvyudG5B084ujjI0nKUAP+dnFbm5Eot69V2wufzuQwjpepdJ/sI8pmhWHZ2fOKutxkzrS1+8/LEU5PJfTtYvoAePw2ztNZ3dAhS03QWeI7fnJ/6BX09dhW1YlIXL0vIfRl2YMWiM84zwmoouvcxDENRFElW2clyhmFYlqUwXMRQYlLFMAxJkhiGAQDLsuqnmotmmOI+f1iWLZlE0zTDMNi7ISY1J1EUpflU8zHDMB+2r3XRNE1jGuNXllo0AGhtn6IomqY1269caizLak1NnXVZqZV6SpIkjuNaU1Ovok9PTcdaLSs10FDB1EpN0pGaetFlpYZh2MemVmqFlErtwznLSq2sL6TW1NQfvda1WlZqZbWvjvbTtwUdqUkYZlLsq6v5hZvcXCabGNHPI6njh8Hahh03hebytKamda1WIrXPcDPXsS2UCrgKN3MdX8j6sZnrSK1kXWl+dUuWxZYx4rn2Aj9CiJ1U/Pc0cvC570qeYELzHb/D4u1a31jd1N+VqmqteMXhhAFFi0mKZdlSm1/JshiGUX/qJU81J2EYpvlU87G6zQ8nfdi+5qJLvUvzs9R8l/r1ki2z1KRSi9ORGkVR+LtRMktNAgCt8au/UmVlrfkulmU1V92HqZV8NT8ltZLZPiq1staqjtRKLbpyqWEYVonUPoyqJLVSk6oqtZLHFUxNHaTWRWv9aHRMKmtbKCu113LFsFev01Tkn57uPU2MyYf32SvnoIEbM2I8w+UyFKV1W/jwG1651Cq4VuvZZl7WtlDxtVq51Or3Zl5Waup1Veqrq7katdJe4Ff/e38Ro3UKAADgFmVPq0aZmZnJycnPnj0DADs7u/79P7VDPfXfKIGxsQFDKViWIAihUKj5HRIKi7uvZRiGz+cTRPH9gSRJlkxSKBQ4jvPeDUWlOUmlUjEMI3g3joXmJPXXQvOpQCAo+ZNI03TJJJZluVwul8v9sBGlUgkAJV0caE4iSVLzKUVROlITCARaUwMAgiA+NjX1l76s1NSRlKTG4/E478borHhqmo3oWKu6U+NwOFrXqo7UKIpSqVSaTyuRmnqz/9jUSrWvXqsfm5pSqWRZtuKplXxhSn0hy0pN97ag2UipT02hUFTkC1NWav8UFI6IiRcS+G1/36YGIur6ZTz0b8K/JWfYaCAI9W+i1m0BPvjq8vn8SqSmYzPXkVqd3szVRUhragqFQqlUVsdmXrLzWl8381JfGM3UlEqleq2WfHWfPHny/PlzdRg5OTmgjfYC37Blq4YAIA1bNeVik81rB9uVM6pszYiLiyvpi97BwaFfv36aB7UqjyAMKFqKBptBkDpo19uMOfGJLQ0Njnq6Owt45LGDTORjql1nfr9BUCW/DwhSK23YsOH06dNQ+b7oBXaCtJOn7hXWkqFUO3XqFBYWpj60lZqaWjXVHQAARCwjZWpJlgiCVIiCYSa/jJ8RlzDZzubvJp42FEnu2cY8e8oZPpbu1A1Vd6R+O3bsmLoakiTZvHlzrfPovMgOdxy9etGjZcNnv5naz9/RhPfu3wBu2a6NZ1VHq0+GLCNhdZyTQBCkdkmUKwbFJrxSqg40bjTB1lqZlgKH/mCVSu4Xs3HXhlBUpO8AEUT/dBZ41eXgXvNOKgDuhr53TZ1gOCs/Ub1x1SxDlslB9R1B6ojLefljX8QZ4thtf98AI0Mm5jkcOwQGBtzZCzFLK31HhyC1hc4Czx92Qv5ZHLgWASbVdwwIgpSLBVibnPpNYlIHU5M9TvYNDQ3osOvUlfPQ0BOGjcbQ8K8IoqH8wWbo3MiLp68/y3IatKSvYVy6iWdD0/LfVMcYYiAt4z5CBEFqiSKKnhH/+lxe/lxHuw3urvLcXPLwH0z0M6JTN7pLT3TSHUFKKadWq17uHN59fihpypF09AxukTzDZ0XR+D1nt41wq1cDrxkASLBacacAgiBaRUmkQ6NjM0nyVJPGQ6ws2Mx07v7djFTMHTcV92lKo7Fcaq4EAAAgAElEQVQkEOQDOqsam3n062VRXQ7FJGzvI8KAcFtw4e6PzhdnzD9cU+HVEAMMk+Ho7z+C1FIHM7LaPIni4tjdZk2GWFkwUU9Uv20EDHhzvsJ9muo7OgSppXQWePLJrXDr4XMGO73bXcdNA2b/MNHu/s0aiKwmGRC4FKtXg9wjSP2gZJj5rxInvowfaGFx09vDk8+jLp8jQ/bj7o3ISTPR+DEIooPuQ/QEQSjl8veuL6elEjmPX60x1TxDglBiGIlOwyNIbZKkUA6JS4xWKLY0cpvrYCfPzWWP7mcS4olO3ThB/eVo4FcE0Ulngee27NtDNW3V5vGH3AAAWKYo5tQ3Cw+SvY7UTHA1xoAgAEDGMOgaXASpJW4WFA6PjuUCG+bn28bYiEl+gx/eCyTJnTIL92is7+gQpA7QWeAx0/7r9k8ZNKadSxFO8667W4oz5DY9vzu6vm9NhVdD1AVeSqN74RGkVlB3QBtobLTP2b6RsRF991/qwhnWxg4fMwm3QgO/IkiFlHMVPWbdY83thBmP7ke8SCogLN2bt2/vbVWvLqAHAABDDgdYkDGowCOInikZZn5cwt6MrOn2tlvcXZUF+dTJEPrRfSKgJdl7IGiMI4IgiG46Czx5e/WYfzuGfNM+sKdrYPFrbM75ZcGJPx+aXwPB1RhDHheUIK26keYRBKmENKVqcGxCpFy+w8N9hr0tk5XJHtxNFxRwRowjmgeScrm+A0SQukR7gWcLHx/f90+aMurExcjYjfxwjbmo1CuHLjv8XEPh1RADLheUpIxU6TsQ5DMlk8kKCgooiqJpumSISalUKpFI1I/VQ3Aq393tLZPJSoawLDWnUqkkCKJkCEvNSSqVCgBKBgbVnFQ8dPK70TNlMllRUVHJwKMKhUL87oo2hULB5XJLRucs1T6GYSWjc2pOIklSPRjrh5MYhlGPgxkpkS5JTGJZ9k9X5wBgUu/epv6+AHwBd8R4zNIK3r6t8tSUSqV6xaonyeVyHo9XidTUw4bqSO3DT41lWblcrrlWORzOx6ZGUZR6MNOyPjWRSFSSGp/PL+sLg+P4x6ZG07TmmKqaqalUKplMpg4byvvC6Eit1LYgFosrkVpZXxgdqZmYmFThSGb6VUaBl726de5slCo3jcxWnT+bqJEshgs6LZtRQ9HVFAMuD4CUqtAePKIfx48fT0pK0ncU+jcUAAAehd95pH6OCUAFcPqMHkNCPje+vr69e/fWdxRVQ3uBx+1G/H5jBKhClwVd737l5268Go5Ku7i4uKtXrxoaGgKAjY3NypUrq6plAz4PQCpDh+gRPVGpVJ6enp06ddJ3IAjyWbt48WLJsYda7tChQ+Hh4QDAsmxmZqbWeXSeg+d1+/lGt3dPWFIioUVGAv316CoWi2NjY9WPnZycWJatqgMphgIBADoHj+iTSCSyt7fXdxQI8lkrOSlQ+yUmJkZERKgfm5lpv8W7rHLN5NzbuXDs+C2PKQBgC++t6+tuYmxiYu3V99vLaXS1hFuu5s2b79q169GjR48ePTpz5kwVniYx4PExlpWic/AIgiBIXfDDDz+oq2F4eLiXl5fWebQX+KKbizt3/ep8pqGZCANQ3PnfhOX37Wf+cfrQ9x2yto0c+1t8dYatBwSfx2cZGboPHkEQBKkvtB+iP/7zbvmkPyO29TTFAJT/HDmR4vfVuV8mexEwIICM9jt8CuYvq+FAqxePb0hRUorSdxwIgiAIUjW078E/ijLvM6qLKQYAQD27cTPXZ9AgDwIAAHcJ8Dd//bIGI6wJGI9vQFOoJzsEQRCk3tBe4KUKoaFIfYabSboZ9tqhU+eG7wZbK7nfsD7h8QxoWkbr6eICBEEQBKlq2ot1Q+e0e/dTGABg3pw/+9SoQxe/4l4QmKRHj7JdGtVcgDUDwwwYSsKiPXgEQRCkntB+Dn70hGYblg8alzOxWdaf6++bDVjWWQTAkgWxl9fNWPPMf+m+Go6yBhgwjAzVdwRBEKS+0L4H7znv6MngRglH1qz5M6/lN/tX9zYEUJwaY+c9ZKd46O6Dcz1rOMoaYMCyUrQHj9RGZNqNzTOC/JzNRXyRqZ1H2+FLDjwuYN9NZTKf/n0l4u1HnV6iX64JFDVZ/vhjryqt6LLo18dntHY0Nu6y5XXZ25TqxpeOwq6/p35kDAiCVFQZHd1wHINWnApaofkSr8N3fz/8xc+/gXE9PAcPYABsrr5jQJAPsDkXvuw49AjWffbi339sZKzKeHnz0K8zOoa+uv7vj60NAIAM3zBilHRH1unRhtUeTAWXRUXs/OFAbs89174JcqiXvxYIUjeUM1ysBty2aUfbaoxEzwwBpFBPBhhA6g8m9fjGw28Df4r6a2Ej9cbad+iYXjbtW/y88tjsi1NtK/OVJWWy6u2zkREXFuFubXoENrREmxSC6A/6f13MAMNk+o4BQUpjst5m0jw7RxuNv+I8r1HLvpnV2Z5mmcRN7Y0HHi6SnxljJAjak8UCm3v/t+ldPK0NRaYOTfvM3/+0SH0sn7w5z8Vo5LHYs1/3aeIctC2JAQBVwunFvb2tDYSGdk0HLD39SvluAVob+WBZbN79bTO6e9sZC3hCc5cWQ767kEQCsLn7+hh335Euvzrdlt92/SumzJAQBKlmqMAXM8BAiqG1gdQynIatA62kZ78avnT/P3H5xTvehPvg739Z0tsBx11mnH91YJiRoPe2hORj46xUUesG9FoSajxyXcipvcu7yo5P7zZse/y7U+bU841TVye3W7pn/QgHHOg3u6bPveUyfcuRg+vHWkdsGBUUfLWABQCl9kZKLcsy+/jMAfMv4INWh1y4dGrzFPsn68Z8eSidxcxHh7w6OcFG0OmXZ8kXv3QldYaEIEg1qvgh+npOhOOowCO1j0m/9SfXKees3TSl6zrCyNm/Y9du3XsPHjEg0J4PAITIzNpUgGG0qbW1KT//5Opfnnh8E35quS8XAPp0d1c267fm11vTfuuMAQCZwB0UdfgrDwLolzeAVfB7H7i4fZgFBjCovx8R0PG3jSeX95gmPFdmIxrLElCROZwWMzbsXDXKCQeALm5pFwL2vUyiwE5gam0mwjG+iZWNmbCg7JD0uFIR5POASloxIxyX4jg6dojUNphF24Uhj1Mz4u6c/n3JAFfJnZ2LR7Z29xm572XpsZHIiNCb4obdO9sU5aqRvl3aGWc9eZyivpSdcGnf0Y0oadeo+4i+FsXnyAUtJ45tSj26F0mW18g7nGZzQi79NsqJkWQmRN6+sG/7uVc0+8H2U9HWEASpBmgPvpgBQTAYpmAYEUGUPzeC1BCWYVgMx7lmDdsOath20PTloEy59tO4UasXfNUr6PwUO42r2JRZmQWqZ2s62KzRbIDjU1Ckrqa4tZ3Vf//ocUs7jRP7uK2DDSYrElNKSncjJcikC/+b983uay8KuDaujX09CAMtF9SVFxKCINUI7cEXU9d1CeqtFqlNqKj/+YsazAvTvOqd79Rj+bLB5rLnUa/ev4+dZ2jI53f9PZVmNZHPVvoXF3JM8yQUk5OR9d/7mezMHDC1MueU20jx/InbJozanNLh1ztphQVpL8MvbR7eQMs/4wq2hiBIdUAFvpgRhwMAaLwZpFbhuPo1NUo/f+BSluYXUxUXEVXE8/Bye7+kcv3btuA8vnw149285PNN/Zt2/emh1pviWPH1k5fzig+qK58cPPxU2LajP7eCjZDREVGU/4SvRvjbCDAAkL+OT9Xy5/jjQkIQpEqh/9HFDLgcoACNGIvULkb9fljTp9PM0a3TJn8xrG0jS74qO+7fkG37XjReeGWsuhcZHCfolKh7ka38vUcvnby5X3DfyRnBwwNtJQ92/fDjHfuf1vhxAbQUVDb72PT+ZhmLetvn/bv9fxsTmny9Z5AFhpuX3YjGspq6+Xhipw+sPeQ33YeTci9k3foj2TQv8fmrPH8v8/+O1eOOZbdW+hICBEGqGCrwxQw4PKBoqQr96iC1Cqfh1BN3nX5bvenwjmUHMooovoWzT/tR224smxyo7k2O22LQSK9Lm/t1jt0T/+f4jVdPWy5ZsXP+8JVg4d5y4KYrK6c34WptmNflu51d47b+MvWPXKFbQLf/nVu7pJUQADDT7mU2ormsw/v2ps1b+fWAI4xtk06jv732z5u5/b+eP2Jj0yer/P5biq7WEASpXqjAFzPkcUBBS5TK8mdFkBrFd+m5aGfPRWVMxW0Hb386ePu7py59fjje54cP5uJ22pIkL3lGNF76QLIUAGDst1qa5JbRSKlljf712uhfNaZeSZtb/Kjb9rf/dRtVVmu8rttS5R+8iiBIlUHn4IsZ8HgAgPbgEQRBkPqhFu3B0ynXft/3QMlnoNGIuUM8BTW7dAMBH0CMCjyCIAhSP9SePXj69f1ox/FLFy+e4Bx5I6bGr3Uz5AsAoEiFru5FEARB6oPaswdPNBy+wL0g+u/Dl+IcuwTVeGczQh7fXiGPVtTwgQMEQRAEqRZ634Onk8MO7Nq193oiDQCYgXOztm2t08LjZDXeaSyf3yY/564C7cEjCIIg9UF1F3gyJfzem/+uTGfznxxZNW/K+Imzvt3x71sKAAjnzhOnT5/S3Y18tHvrPxJD24b+3kb5WTV/dS2P17ogJ4qiZaivGwRBEKTuq94Cr0y5um/733GK4t1xVhq+/7f7NlM27dvxlX/y3h3XsjT20/ne7W0f/Lpm/S+/3ncY0NFCS7/W1Qrj8Vrn55IAD8TiGl40giAIglS5ajsHz2aFblix/0GGmG7a+t1rZPT9J9Y9fmlmwsFM+vTx+uvq44KgILPiUo6JvIZ/vaJ0M1lZWaNGjVI/FgqFy5Ytk8t17d1/8803U6ZMqWiMLAsAubm56qfNgBGy7PX0TF+aUk9VvrstnmVZhUKh+caSd7Esi2GY1knqp1KptKxJJW1qLkv9VPXuen7d7QOARCIpq/2SdaXZYHWnVmqt6k5N89P8qNRkMllZk6r7U9OxViuSmnrRpVKjUBeKCFI7kCQpk8mqYzPXnFPHL5hmXVAoFI8ePRo7dixd9jgpGIb5+PhonVRtBR6z7vbVtm7kg01TLr17ic17m4HbF++c8+0dzbPfZjJgpvN6OgMDg4kTJ6ofP3782MPDw8LCQsf83bp1E4lEFYxRqVQyDCMUCtVPGXuH5rKiCKWJSCRiWZYkSR6Pp56kUqk4HA6O4yVv5PP56scURWEYRrwbg05zEk3TLMtyOJwPJzEMQ1GUZvtcLlddctRfoJI5SZLEcVxr++qqoLV9mqYZhuFyuSWTeDxeSfsVTE3HonWkplKpKIoq+RR0p0YQRFlrteKp6VirVZsawzA0TZe1Vj8ltZI5EQTRL4IgeDxedWzm6scf+wvm6+u7aNEikiQ1JzEMg2FYSVRRUVFac6nJq+hZpVLFFwrU+02YUMRXFSnLu5ZOs8ADgK+vb0BAQFUFRNM0SZIlBV7m7NrmTfJeU3OBUMgyzHu1n2EEAkFJPdB8l0KhwHG8ZL1rTlKpVOo3fjiJpmmFQqH5VCAQqL8oLMvSNF0yiWVZLpdb8m3QbES9q6r5bSuZRJKk5lOKooRCofrbwFQ4NXj3Xf+o1NRVsIKp8Xi8km2g4qmp09G6VuVyeQVT43A4WteqjtQoilKpVJpPK5GaQqHAMKxUaqjAI0gtgeM4h8Opjs285LGOXzDNuqD+ITIwMFi2bJlSqRSLxRYWFuqfcblcXvILRtN0cHCw9lyqaqVUAMbn81SK4hPyrFyu4vH5NX2qXRfWybl1fnYuSb+UoR40kZrDAhSgQ/QIglS1mtyDx8ztbZmH6QUsWGKgykzPt2pi8zF/MOLi4q5evWpoaAgADRo0WLZsWdXGx1jbtpYWYQB3C4s8BVZV2ziCaHWxoGhdXGKgXNFY35EgCFKHnDp1KiwsDABYls3MzNQ6T412dMNt0sZ/14mrCd1GuxbcvBbj0ma86cfswefn50dERJAkCQANGjRYunSp5nVSVQDHrWztGpHKu0XiyTaowCPV61Zh0dcJb+4ViVsbGzXUOHeAIAhSrkePHl2/fl392NnZWes8NXrmDzMInLaoTdLvC2fNWX3Hafr8XtYfVZ9btWoVEhKSkJCQkJAQGhpaxdVdHaGLa+uczLuFRVXeMoKUeCGTD3gW0/HJMzFNH3d3uRfQ1JhT4303IghSl61Zs0ZdDePi4nx9fbXOU8178NzA4EOBGs8xQ69hyzYNq96FfgLM2bVN/LVDds65JIV2qZAqlyhXrEh8E5KTZ8/j7W3caIKNlVQsBoZhZVJ9h/YZU54ZY73QYtvc5zNO9X16+6uG6IJHpJ6oPX3R1wq4S4PW+bkswH2xuIuAr+9wkPrjjUL5U1LKgYwsY4JY5eywwMVJgOPAsvizp6q7N0GsBHDXd4yfK17nlaFnuK62srAgMydU3ZH6oy59m6OiohYtWtSjR48ePXrMmDGjWpYhFHkZCM0Y5m4h6s8OqRqv5IoFyWmeDyLO5OT+z9X5pb9PsL2tAMeZl9GqzWu5505h5haYlY2+w6x3FDdmO3N4AauiaQCgo39qYTnsWH7JfblM6rbuFkG701k6/eamxdPH9/JxdG83fNKclSdfyko3FHNwZkd3awsrR+/ei88kqjs5YTKufj+gmbO1vWeX2Ufjizs+0fYik7ChHR8rxnGeG0YCgOrGl45crkCoZmjh2mbC9scSjWUy6adn+Dfwmnu5im7ooR4s9e20KbFC3XBL7yyftD66Sm/rUN5eN/nXhxSbfz542h9vyoriY4LU9vbIFS3a/xJfZn8wpees5GJqja1bt6qrYVBQUFxcnNZ56lKB11R9PX8RLq6txPn3xJLyZ0UQnf4pKBz4PMYzPOJMfuFyF6fEVi2WOTsaEgSkppA7t5D7dmI8nmr8VO7UL+FdZwNIVVHcPnnJqFVA+tkzL2kAovGQoW43//y74F232VlXzj9tMaQP98rcriNCeBP2PUgtyI658F3TiEVdh+98pfHrwrzaNn1JfN/jsVkZT3f6/ztj1t4UBtiCc0u+OOu2PiI19miv6K9m/5HEgPYXgUpOzOix+61coVAoFLJXmzoV971A+HwbLpbL5XK5vCBmb4fopbN+i/mvNpER5865rn6wtbeuM4UMUw3jZtAvt//8tv807yo9uEulPrgckUFjZn2+cD+z6kJhjY8lVh9VpAjWpQLftGnTDRs2XLt27dq1a3/88Uc1LQVzcW2dlf6wqIhk0bcQqQwlwxzOyWvx5FnXp89jpPItjdxe+Db+zsXJmEOw6W/h2AHYvZUVF3HHTeF+Gcw6u+o73npJ/u/JK3YTtn7TO7O4wnsMGep+8/RVdW1hc6+ej2g+pFfm1mVnfTZf/H1SaxcTvsimSf/vTx8b+2blyouFJQ1JH9x60XbqrBZmBGHZbvroxlHhzyhQ3Dpz1WXK/G5WPKOAWV+2izxzJZPV/iIrfpOMNXC3FPD5fD6fx+NouTSYY91haHe7tDepxQWeST4wddH53LDl3b76W069vbZioJ+rnY1TwPB1t3JZAKAeL/drM+6L9q72NhYuPf53+uQ3vZu62tt6Dd3+XAUAbFboykHNGzo52Dk07v71hbel/gVoaVCD6t7u03ZDg0yxD+ekk/f0cx+wN4UBEN+Y16TF948UZSxLFnNwZkdPJ4cGPj3mHX8lj90+YXlo3sUF3b67yTQe0TV59/HSMX348cWGzOnS2NHW0aPd1F1Pi9QfmrZlsXn31o8McLKx9+zwxf6Ydx1Ta8tR+5x1WHBwsLoaXrlyxcPDQ+s86Bx8abiLW5sb12UM+0wm72hkpO9wkLokQ6Xa/jZj59uMTBXZxdT4nK9XX3NzHIOioiI2I526fpl5HokZGUP/Ibw2HeDTeq9j83KZ+Niqirx2wr2aYMYmlXmn7N9T11xGhjbrFtNz9vdnXi5r0oRoOGRow42nrxWOHG7KFlw7F+43eKvyxqi3XZYMsNEouqLAMUMsBv39SDWwm/qgisGgPdF9DI0BANiCp4+Tnb1cCSY9PpHwGO2AAwAYeDS2S45/QzE2Wl4Eq+TEZPnt5S2c4t6CQ/tp67d9192u9OdOZd/766ayw8JmxTv3uPPEP9aHhh4ecGt9j7fbgqbd6flX1FkfyeV5PcYt9IzcP9AQgHz2wvJqVHrzlJ86NJ+8/ed74YlOd+e2mLXv0bQNreL3LNtntOzu62E2hZdmtll5YHLvZf91ssC83jXpgwb/u12ZiroUZtPhW5H2Ofesm3Fg8PcXes97uiysx/o7LQT0i40fLosOXzn8R8l31xNGmEet7Dnw2/PRxw6uCnW/NDH0x05coDq2SF8dmv/FBB0DilFP1o76+s0Xf8fNcs8ImdR9xA9eUZs6cGO05CUPXT5uJ29VWNJw8yer+vYMYVqUlSNH25z1HirwpWGWVi1VCg5AuETWEZ0YRSomSiJd8zrldEEBDthYG6vpFmYBpibqPizZt6mca5dVMc8xI2POgKFk0wCMy/3E6g4AbGoydfpYVcRee3Gnz61cgZfdPBnacOT3LoSBzbBemd+pK7z7kKGNNvx5vXD4MOzGuXu+gzfb5G3JN7Ozef/sCGHrYFPwIpsEUL+OiyxsRQCsJObE8qlfRQ7au6kxwUbLFCIjw+Jetw2NDeTZMpaVaXkRWKWBa7tBMzYsC7LO/Gtu0IR5jZ6cGGMDAPTzn9uabcABgFJKSauhB+4P+/C2YSb98unYXkvO+xlhYNRr4STH7n8/Jgd2BOB4DR7bygQjBH7eZm3ajfMSYuDXvJHynoQFotHcy084Zqa4IierkARJkZgtr8Gu71YBmx8ZpfIYaIxpn5MdOPeXIW3HdR/La7X2VicjANCyLCry7EVi5IGhLjwMms/bsTuceC8tTiNvpxePXlATOnDL+vTo+MuXigatm+YtwsBt5Fej1064EEV1CNSyLNWd439ZT/tnhLuAgDbBwX1+31hWjr1JLXPWf3WpwIvF4ri4OPVgZTY2No6OjtWyGAwzdHRuqpCFS9GdS0j5HhRJfkpOOZ+TZ8vjfu/iPN3exorLlclkwLLMi2f0rTAmMZ4wMub0G0y0bgccLqmomqODeFN/flP/Kmmq3pGGnbqYcvdsS4eVALQsr8BdXeFdBw/1WP/n9cJe3HN3vIf8Ys+RW5kVRGaSABq1hs7KyDaxstSsPkzWzXVTp23N6Pj9mbDpLcwwYEQigTxJWtzrtkQsE4iEGKbtReC2Xnr2hLoZ5/6LJ69tc+m+asxADIDwWXb34YpmHABG9ubs3F7Bq28M3d5d8H4iTGZ6Zv75+a39i1/H7Hqp28f46pt8MAzDhSIhBvDf8Ihk0vml89ZdTSZsPdwxFWtboQaLJ+fnFhiaGGFlzilsOWWM5ebfA3/vqd4B17IsOisjx7aNAwEAgJk16xMEAJo/pQJjI2lunq5j9ExudoGNk726awjC3tk2PzyHAaA+XJYqN0fm0N1RPaeBi6sNUVbkWues2/Lz81NSUgCAYZiSselKqUsF/vHjx6dOnRKLxQBgYmKSn59fHX3dAADewLV1cvo5o0odG0Q+G3fE0g0JSdcLCt2Egm2N3IYZiixNTAAAlEos/A794C6dl4s5OHFGjpe6NuSbmek73s+G5J+TVz3XR9+Y54IDgOTchEYr1RW+weBhnr/8ee6i8F/PwavscYLp3s1mU8i5rIGjSnae5RFH/8zuvCrwv9166b3ve0+402/vo++62RX/XuJ2jdzoC/GZTC8nHOSJrzJcOrpycFMtL7JZD07f5XQZGGCOAWAEweHxeaV/tHBRg35D283ZGJfLdHd4/8AObm5hbjN8ZfiWTjwAkKVGxbMNy7kck0k7uPDb5KE3ns/2FDGJm7oMyvqIBnFTcxPpKwlb1pxs3sW1+5k2dufW7AvuONMVtC0LNzM3ycnIYsCGADbv7v7jsp4z2miEoBJLhGamug5g4WaWJtlpGTR4EAB0RmqWiYU5pjUvnqWV4dvkNBoaEQCqzPRcxqKMyHm3tcxZt02cOPHKlSsAgGFYmzZttM5TVy+yu3v3bjVVdwDAXFxb5WelkuRbpar8uZHPz2OxJCgqundcQppKddCrUWxgwAx7Wz6Os3m51PnTytXf4X9fwGztuTPm8eYtJgJaAlH39xfqDsmNk1cdgno5Fv+4GXbs2/7NmTMvaQDcedAwr+vff3PVfVA/BxyA4zfv536RC/ovCHmcLqWUuS8v/TRs5CHH75b3NX7XGJt7buMB+xVHV5RUdwAAQYchPV8f3PNYypIJIX/c8R0cZINpf5Hz5uSXk1eGZtFApV/dfDC158A22g5N83gc8XvH0tVwp559LP9auyNSzDD5d34cMmjr83IvnFcplBxLB2sh0Nm3/jgZJScpjWbLaRAz82lCvIqXlDGn5NaqZU+HbDv3x5eSX779M4vVuiyuf/+eRUc2X0ijWGnUzqUrbuaLMACWVqkYAADqVWxqYz8vDgCb/+rRkzdFH17LTHgEBYnObDwQpwAy+fTGEGmPvs24WpfFa9W/e8ru1WeSVIz48dZN5/KZsnLUOmfdtmPHjpKL7Bo1aqR1nrpU4M3MzJo3b969e/fu3bt7e3tX34JwR5eWRYUAEC5Gd8Mj70lQKEe/iG0RERknU+x2dY5q7jfexpqDYcybRM6Jw6p1K+lH4UTLNvTcxfjYybhbQ33H+zkKPXnVsldv95L/VCZd+rZOKK7wjgOH+mamNxzUX13+Mau+224cGVq4c1RTWxMbnwE/RrXYeOPkDI//ajkV//hp+oUpdnjxneyE45c3VICZDth8eMizGS08fYac8t66b7oLDlpfxMyHbto/JOWbDm4ODTr+KJlxcnN/bQNwEHZO1vHXQpM+qDqE94LDGxqfH+nt6BwwJ3bwvjVBhuVkjzcYu3xc2tf+jZu1GXvMfsQQ/NCc1Q//u5+qnAa5fr07pN0Kl+fR3hQAACAASURBVGmbs0vsL4sutf3pq+aG3nPWDn723cobUq3LEnZadWIB/XMnVyevUaEtt6wbYobxPZo3+nde26VhKubtnYfmPbtZYgCqsO+7DVgfoeVeL27zZcdW2x/p7+Hg1m0TZ/GJVZ2EZeRl0m/9sWmSnzq4OLWYlzhgRkdemTlqnbNOs7e3V1fDbt26GRsba5+JrTv2798fERFRhQ2KxeK8vLySp0VFRQzDqB8rtq63uH5zacIb9VOJREJRVMmchYWFJY/lcrlSqdQ6SalUyuVyrZMoipJIJJqR0DStfswwTFFRUckkqVSqUqm0NqJQKBQKhdZJKpVKKpVqTY2mabFYXDJJR2oymawSqUkkktzc3AqmRpJkJVKTyWRaJ1EUVfHUylqrZaVWRFHzYl9xw+5Y3wnfkvpWSTNFRUU0TdNxL1U7tiiWzJX/vIK6fZNVKHSnJpfLP0xtx44dZ8+eZRFE38ioVUHTzhWWP2OlUHHr+48/kVP8WyQ7t2JVOKn7HTXswIEDISEhpX48K/ELpnUzV9P9C6ZZFzR/wRQKRXZ2dsnPuOYvGEVRc+fO1ZpOXToHX5Nw5wYti/LCi8z1HQhSK/yZnTv/VWIuSX1lb/ONWwNDggAAMv4lfe9fJjkJs7XnjJogc2skMEHXbSB1G8dn7mKzefvi+sz3qPrzSkWhu573+m6B+gI9Ov7vJL+RvVENqkZo5WqHu7i2ePDoVwsbmmWJajvZj9R+SSrV0mcvLuXmdzY1+dungSuBiwiCef2Kvnyek/SadXTmTvwC9/JhAUCCej9E6j7MuOuaXe2ZarlqxLDLT7t78IqbJhoNmqP9zDFSVepSgY+IiNi6dav6saOj45kzZ6rvOjtwdA68dkXMMDEyuY+BqLqWgtRup7Nzx8fEG3M4Id4eo62tKIoi01LI22FM1BPM2oYaMkrYohWuvoAO9XuI1Bs4j1c9V2fh3Gpq+HP0v//9T30VPQCYlXGTTl0q8EZGRp6enoaGhgBga2tbjdUdADMzb6FSYQAPisSowH+e1iSnfpuY1NvU+LCPlymHw8qkzIUz+OOHrKkZZ8Q4wr+FUioFdHQHQRB9cHd3b968OQCwLJuZmal1nrpU4D08PIYOHRoQEFAzizO1tnZXKR+IJVPsUId2nxcVw856Gb8/I2ueo93/rCxNCYJ+dJ++9BdLUWyPPvxO3YBTlzYcBEHqn3Hjxk2ePBkAaJoODg7WOg/6nSqbg1OLvKxwc3Sd3eclj6RGxr66K5b83sjtSwc78ZtE8sRB5lUc7uWD9RtMigxQdUcQpE5AP1VlYhwcA9/cPiV1ltF1v08EpGIS5IqgZzG5FHmtWZPOpiZ0xAPe6WOssQl38gy8cROKokCF+j5CEKRuQAW+bPZOLQvyKJaNkEgCOKgnsvrvQZGk//MXIgwPa9K4qYkxdeU8/c81xsdPOGoccOt+vxgIgnxm0CWNZWIFgmY8Lh/gQRHqz67+u5pX0D3yuS2P94+vlweXII8dpMOuE917kwOGouqOIEhdVJf24PPz8yMiIvLy8kq93rhx42oaWU7o6NxUJg4vksw0N62O9pFa4lBO3oKUt11MTU41aSwozGcO72WyM7ljJuFN/aGoSN/RIQiCAACIxeKHDx+yLKtUKgmCUA9Ire5fT+v8danAR0VFlYwmp6lXr14ltwNWLczZpUV84iWzOj/uEFIWFuC710k/JadNtbPZ4eFOZGao9m7HaJo3Yx7m5KLv6BAEQf6zadOmFStWlHpRx2hydanABwQE9OzZ88Nhc9zc3KppibiTS+CDh9uVqkySdBEIyn8DUqeoGHZa7KvDmVnL7GxWezZkEuNVB/eAoRE7bipma6fv6BAEQd7z9ddfDxgwgGGYUnvwO3fu1Dp/XSrwRkZGHh4eNXYfPABgdg4tpIUA8EgiczEyqrHlIjVAQtNjYuKv5xfs8HAfZShinj0ljx3CHRyZ0ZNAKNR3dAiCIKXx+Xx/f38AkMvlHA6Hy+UCAE3TIpH23tjQRXY6EYSHqakFQ0fIZPoOBalK6Sqy67OY24VFf/l4Tbe3JR7cJY/swxt7cb+YgxkY6Ds65JNs62kiFAqFQj4HJ7gCoVAoNHCY8fcHtzfmHxjoOiu01MvUg6W+nTYlVvbGWPLWAo+e29+yAMrb6yb/+pAC6vFyv/IbVL7460zUf78xTMbV7wc0c7a29+wy+2h8WTdmsrkxEYmS97tI/sT4qcgVLdr/Ek9rJILUZajAlwN3cgkoyn8oQQW+/rieX9D2+ctMkrzl79vHzIQ6d4pz7RLRrhN33FTgcvUdHfKpvrxaKJfL5YXnpzi0+PGpRC6XS9N29qqROyE4zeYf2zTYEgOgUh9cjsigK/QuWcyexV/uevCuVrMF55Z8cdZtfURq7NFe0V/N/iOJAVDFhczs1tzfv3n3WeqSz+ZfWL48VC6onr6S/0ukGIsGW6iLUIEvB+7kEpiTGSGVMuj7XfdRLPvt66RekdENBfy7zXz8+DzyyF767i2qe29O/yGoY/l6i80KXTmoeUMnBzuHxt2/vvC2eA+Xyb35Y1AjKwu7xr2WnEsm338P9fbaioF+rnY2TgHD193K1dj+6ZifW7nOvqECoB4u8xJ4LAmnAMib89wCvgv5dVzwmRwqdvuE5aF5Fxd0++4mCUC+OT2vcxNXB3vvwb8+fn9XgUnaP8bLNXDh3xrtK26dueoyZX43K55RwKwv20WeuZLJqv79dRMsufnkyb9LYMvWOyQoH23eK5rzZZOyT7LKY0PmdGnsaOvo0W7qrqdFbJnrgc27t35kgJONvWeHL/bHKNTJP/99XPCZHBaox8v9uwevGNDIzs7WvsmQLRHq+BWxB6e3dXdw9glauKCv+4RzlfxckGpWl87B6wXm5NLi+rUimomVy32MDPUdDlJ5aSQ5/enzO4VFcx3tfrS3FZIkeXAXk5rMHT1R6dpQ39F9tBSl8n5976Ghk4mJNa8KjqnQMXuW7TNadvf1MJvCSzPbrDwwufeyxgBM1rmz4vO333Zm/lnSZ8Ic75Z/TbJ69xbm9a5J0+70/CvqrI/k8rwe4xZ6Ru4faKr+B0g07NiOt/D+K7qL6aNH2YK8Rw/TmRby+w+xdisbc04DAOE56+CqUPdLE0N/7BS9nHz8V+TC25G/WUT/r2PPX2/MONDvv+t1cZdJITGTlOcnOG8rWXJ6fCLhMdoBBwAw8Ghslxz/huJ1mDv3xOwuLb4F0xbzf2+Lv967IWn45s5l/yBRT9aO+vrNF3/HzXLPCJnUfcQPXlGbOnC1rQd56PJxO3mrwpKGmz9Z1bdnCNOiVFOqW6fjD91JPWcR/b9OPTZd++LwQF7s1qk/yReEvRnCuz6v08DcljM+/TNCqgMq8OXAzC1aknIAeCiW1I8C/1qhuJyT50czzQwNjIjPooc+CU3vTs9c+TpZxCFC/Xy6mJrI01KZI3tBLuN+MQdv4FYXb3a/Vyge+SJW31FUrxt+PtY8k09vh2g09/ITjpkprsjJKiRBUiRW7y/zOsxe2t2Gi0GPb+c19zh9LX/imOJ3MOmXT8f2WnLezwgDo14LJzl2//sxObBr8XF+rn+X1um7H+TLLR9m9pvY43Z4hGys9H5Kq/HNeXe1LN11xOyBjhwAr0BfbpSYKidYViZTiIwM1f8lMENjA3m2jAV+4wm7QicUz5F7dub1Fl8fty37iBMdf/lS0aB107xFGLiN/Gr02gkXoqgOgVrWg+rO8b+sp/0zwl1AQJvg4D6/b/wg/gbDZg925AB4tfETPilSAv3mz1N5A34d7MTlQM/Z43xP1POvYR2GCnx5MMza1s5DpQgtKJxsb6vvaD7V0azsmXEJRRQNb1JwAHeh0FfIn+lg18Oifo6pk0OS21LSfktLL6ToIWYmv3t5WHG5THQUdvIICIS8L4Mxq7o6VOAgS4u89q30HUX1qrI/oGTS+aXz1l1NJmw93DEVW7wdY4ZOTuYYAABm7OJiUphXVHKcnMlMz8w/P7+1f/HONmbXS/McnbB152bz7z2ItHnu1umPDunjwiMfip837dLWELQUeNza1lqdB4ZX4CQQJhIJ5ElS9eJYiVgmEAnfe5s8fON+o3mHbO7+NGDh0USVZftv9/420u39n3ImN7vAxslevVjC3tk2PzyHAaA+XA+q3ByZQ3dH9ZwGLq42H6xy3MrGEteMn8lMz7F0U8+I2zrY4qjA11Z1qcDfvHlz7ty56o5uHBwcUlJSqnVI+BK4U4MBqcm7RAYKhhHgdfWqBRnNzE94/Ud65iAL83UOtnkczlOJ9IlEejO/oNezmC8d7Na5NRARdTW7D8XK5JuSUg/l5jEsTLS1XuzkYEWqjDGg/jpF3/0XGnpiw8dgpmb6DrPyeDjGw+vS9qs/TNrBhd8mD73xfLaniEnc1GVQlvp1VpKWls+CDQasOCVVYtnBDIfiSbi5hbnN8JXhWzrxAECWGhXPNtS4TA8zb9/R4bcLIVZE8xGNWifgfx77S2rVcY4VVrqbzeLZPyZa3K6RG30hPpPp5YSDPPFVhktHV43PmX61Z+PbUVvbpu4KejDgTORU4xtzeq7+e8Cevu/d2ombWZpkp2XQ4EEA0BmpWSYW5pjW9cCztDJ8m5xGQyMCQJWZnst82K9Xqd9ZzNTcOCcjiwFXHJjsjGw0GJdejBo16vTp06Czo5u69IPu4eGxaNGinTt37ty5c/v27TVT3QEAc3IZlvamiKKv5OXXzBKr3Au5IvBJ1JHM7N8auf3ZxNOOx21lbDTD3naHh/uDJo1/dnXek57pH/G0HpzTpVn2bE5uj8horwePj+fmz7G3e926+Q4Pd3ehAMvNUf2+kb5/m+jemx07GTOoDydckIpQKZQcSwdrIdDZt/44GSUnKfX+sermtl/Ccmgq68bPvz5qP6iLcck7cKeefSz/WrsjUsww+Xd+HDJo6/P3yhjh2rGtLORQnG9gI4FXa7/4g0cK2nZ0f2/nl6VVqkqVPkGHIT1fH9zzWMqSCSF/3PEdHGRT8lPHZp9ZE9Z66XAbHFjAMRwA53Awmi59CTDhERQkOrPxQJwCyOTTG0OkPfo242pdD7xW/bun7F59JknFiB9v3XQuv/yYOd69e2JndlxIp5mcsB0hUeWddECqhWY1dHZ21jpPXdoDsLOz8/X1rcmObtRwJxc/cUEjHE5k5Q6yrHvd1kZJpN1evnIQ8O8FNPUzNKDT0/DoZ4yjM+bgiBkZ4xh85Wjf19JiQkxc+yfPFthY/mxkxK2b15Pvz8z+X1JKilLlb2iwy7PhQAORuYGIIAhWJmXu/ssNCwUjI96XwZiTCymX6ztYpMbgDcYuH3d+jn/jH6xd2k4cMQT/ec7qkeHzgHANapvxbRvnRIVZ4LRDu8fYYlBSqwjvBYc3ZM4c6b1GwrEJnL5vV9D7/wc5TTu35W9NC/TngaB568bkBfvOfpqXA/I9mjf6d17bpSbbP/o3FjMdsPlwzNQZLTwlPJcBW/dPdynZD5Pd3XDIfMFRTwKg8Ywfmk8aFLBVZRr49R+9P+jmhNt82bHVX83q77FCxnfuvvjEqk5CwLSuhx/6rT8WM3NOB5f5Qvd+s2Z0PF1+hLxW3x6cN/OLVg0W23eZFtTOpAh1DKUHLVu2bNu2LQDQNB0dHa11HqwO3d544MCBqi3wEomEJEkzs+LjtGKx2NDQUH1ggGEYmUxmaFi8USvW/7TSs+lWU6usdoFCHC8qKjI2Lv63r1AocBzn8YqP32lOUqlUDMMI3vVxqzmJpmmFQmHwrk8ViUQiEolwHAcAlmUlEonRu47zZDIZl8vlvrs/W7MRpVIJAHw+/8NJJEmSJCkSifIpqmVEJBfgfkAzEy6HDr9DnT8NFAUsCwCYkTFjY8tp3Z7j66di2JVJyWuS0wIMDUK8PRsKBXK5nCCIj01NKpUqlUpzc/OKpMbj8dS9LX5UahRFCd91NqeelKpUTY99dTkvv6+p8TeuDdqaGKkj4SvkcPdf+sFdYBi6aYBo4FAQCOH9fqAqnhpFUSqVqqTTKLFYbGBg8LGpKRQKDMNKpbZz505bW9uBAwcCgtR6ZOSexZcbfP91d3M2+/TEdrs7/HN5uoO+g6oaBw8e5HK5AwcOrI7NXP1Y6y+Y+nGpuiCVSgUCAUEQAKBUKsVisYWFhbpClerJLjg4eMuWLR+mU5f24PWI9fIZ+jzy51ZdLubmD7OqMzvxDAvjYuKyVGSop7sxpSJPHGKinuABLVXd+4hoin2byrxNZV7F0Yf3QkAgb8DQVa4uXQX8L5LTAh49Xe/eYLxZFVzAXANOZufMjEvgYNhxL48+BkL13zI2NZm4eYOOjgQul2jTgejQRcyCurojCPIpuI07ttw5s4f/EopiLDv/uHNSPanu9Q8q8BXCevv6/BvqRWAnsnLqUIH/4U3y5dz8Mz5e3rmZ5L5trETCGTke82vOymSYoQVmbYP7NVdKJLxnT+hL55jEeM6wMS1s7B79v737DoyqyvcAfm6bkjLplYQSkhASIAQ0EsKDRbqwitI7IgriPnVdVnzPXXRX16eIsgoCi6iroAskiFKkSJUmCEYwBAgJEBPS2yRTb31/DBljGELKwCST7+evzNybc885c+793XbO6Z+44HLuguzcg4H+q6K6BrbhydCrRXFK7vV9+trJwYGrYqL8adpcWyOdPS2dPKrk51HeOvrBUVzqkJtjy7fDvnAAbZE6dsbqgzNcnQu4IwT4JlGCQ6iQ0IlVZe8Qyig1bfxJV9tRVf2PvPy/dIl82GLgP1tPgoNV856mgoJl+bdv0VAUnTyQje0pbtkofLSa7f+AbvykLQk91hf5Pp9z7ehPP/8zJmpSUKCLCtGYG1Z+zPkLeRZLekLchKAAoijC0UPcoX2iyURHRbMzHjd37a7x9CQdo68/AEADCPBNRfVKfOzsmddShu+sqBqjacNXtYQQQi6bLU9ezRsT4PdKoJ+warkcEKh5+nlKpb7d+lRAILfgWenoQbJ3F5+fx02fMz8sfIBG/UJe/uQLl0f5l6yK6R58LwtwJ1lG0+jzWRJRdsd2HxgUoJSXiWmfy3nXlN5J6mGjbk72ajS6OpsAAC7TnrrJuRbVp1/P6oreDLWlrNzVebmDalGccDE7mOM29oiWv/i3wlulSTMId6eTEppmhgzn5y0iFOFXviMdO9xdrdoZ32NLQo9Mo6n3DxlvFpXybWNE/uO1hkEZP3sy9ImkPr00aunUCf69t5SKcmbWE+IjEzGVOwAAQYBvOioomAoLn1BZuruiyiC33aEdJEWZlpVdLAibY6K89+2Sr+dy0+cqTR7RRQkOUT3zJybpPnHHl9R/PlWMhklBgReT+y3qFPp2cWlqxvkcs+Wu5v+O0ssrf38pp6en9lhSn86SoNr4kbhtM9O3v2rxX6i4BNfmDQCg7WhPt+hFUTQajXq93lkJSpKkKIo9QUmSauq9hyVJUv1FoiiysfETMs6+mjpyR0XV1Lqe4rZH2ua6ftX1/8u2yNbjq8Eie5r2v6V6j/YbbNpqtdJ1I+jdmr7FYqm/6OUbRfsqqz6P6hxz8bx09JA4dKQlOEwShEaKJgiCfdQgSZL0ZjMZ8RAT0Znd/TV5f5lh6Ci5T9LSQP8RKtWC/BtJP2Qsjwyb4uerKIrDokmSJMtyg6r7Tfr1FvE873CRoiiKojQomqgorxaWfFBaPtZHt75bJHcj37rpM8pq5qfMlqOiidWqWCwNNt2waPWqjqKoRjbtsGi2RYJwc9oxURQlSbpd+rcrmsNfTWonL3YAuD1RFK1W693YzW1/2w4jPM/b02+wyB4XZFm2H8FsHdrth/H6RzBbIHNYlvYU4AVB0Ov1FRUVhBB/f39fX99WJmjrB+/jc7MzWCP94G39EenklJgj+xMZanutYUH3brZFbaof/FcmywelFf8X1WUCJcl7dtK9+3qOGkso6o5FY+reRPs1/QGp5m7R1L6d3K5t6syf2EenDPTx/jms/9NXchfm3fjWYF7VLTK0LpFb+8Hba9VZ/eCtWu20rMuHq2v+0rnTktAQj6pyYcN6olJZZz/l3S3KXqtms/nORWt7/eAZvAkI0DawLKtWq9tmP3idTmfvBy+KYllZGak7z3BYlvZ0i/706dPTp0/vXufeZ4AKDKLCIyZWFB+oMZTywp3/4d46bTQ9lZ07PSToxQBfeePHiq8fN3lGq+Y41+moKbO4J55WDAb+/WXs/t06Rfq8Z+yHPaJ3V1enZl46XWNwXvYb873B2PfMT+cMpt194v8a2Ym5ms2vfZ/ofLhFf1QC2uIb/gAAd9XUqVNtoTA2NjYzM9PhOu3pCj4+Pv7VV1+NjIwkhERERLgkD0xivzlHDr419PevXv9ldawLTjJup0wQZl79pY+nx/robtJHqwlvlWc9QW7/2nzT0bE9VS+8JB3eTw59y1/P5abPnR8WnuyhnXU5Z1DG+b9167wk8i7+FqW88Pe8/HWFxX29PNMT4jpr1PzJY9SOrXRUNDdrPlGr0bsdADqgt99+e+7cuYQQWZZ37tzpcJ32FOCDgoJcMhZ9fXSfpOA9O15QxDeKSv7QKSze85YxoF1kce51syx92asnt+NLKe8aNecp4u+8S1uWY4aPMXftrvo6jV/5DjtufFy/5O96xf2tsOTlq3n7KqvXRIbr7pxK85gkeXlewVu/FCiE/Dk0eGlMlFqWxK2blNMnSGJ/bspMdHAHgA4rJiYmPj6eECJJ0vHjxx2u054CfFtA+QdQnSKfu/LzJwnJL169vrN3vKtzRAghR6r1G4pLl0WGh539Xjx1nH1kotw9hghOfoggB4eqnn1R3L1d/CqNXMpSj5/0bnS3Uf5+cy9dGXgxe3ZoyEP+fkN87xDoTbJse4WkVpRqLVaVrDCM6M0yLEVVCuJ1gzHfyhfy/FWj8bPS8lJBfCIs5NWukR4Wi6pGL3z+sVyQT40cKw0cjOgOANA4BPhmYxL7ee7Z8fqwh+bk3dhfVT1Iq3FtfnhZWXTlaj9vrydNenHHl0zyQGbgYNnZ0f0mjmMfnkB3jRK+3EStfleeOntU99hz9/V98fKV/5SWvVdQ6MkwQ3VeCSqVUKWvFqVqUaywWg0KqRJFvShWi5LUtMmN/FlmiI/uje7d4jy0hBBDVqawPY2wLLfwOSk8gohuOEFlYWHh/v37XZ0LgA6tsrIyJCTE1blwGgT4ZqPve0A5sGfqmZPvR8Uvzr1+IiHOtW8qvltw47LJfLJHlGbtP+ku3djxk+72Fuk+SVRouJL2ufDhB8yQ4cEjH3q/S4SXt+6swbCronJXecWxGoMvx/qyrC/LetNMV7XKl+N8WUbHMKwgBHh6qmiKEKISRY7ljORmyDebzd18fMJUqgi1ihIEQoharVaqq6S9O7mMM1S3aHbGXMrLW7pL5y4uFRERkZOTY3tThqrXA9PePVJRFFmW7S/b119065qNJNKCRfcgfUVRXLLpBrXqTkW7dU2q3vu27b1W717RKIoKC3OfkbIQ4JuN8vCUUn9HHdy7PCl5aEHxhrLyx0NdNoprvpV/Pa9gYXho3wO7ZULYmfPu0b1rXz/l8YXs8SPSwb1yzmXq4Qm0Tne/t9f93l5/DgpwwnSxhBCzWTywVzp+hFKpxGGjPYeNIvX2cDczduxY0mj/GZPJZDabAwJuTnRkMBi0Wm1zewBarVZFUZrYA7B+v0qj0djErkGNdBmVJKkpXYMaNBhb16CmFI3cZn7hRopmNptNJpO9Vo1Go1qtbkHRXD4rtMNfrUm9YQlp2azQts7iDotmsVgMBkNgYKC9aE6ZFdrb29ve7fse9IYlbgEBviWk+wZwGT+kHtr9SMqwpfk3JgYFuGqCueev/eLF0H+XLPL5DGHseLWX973bNk2zI8bQMT3ETZ9xH34gJvaj4+LpmB6N/YvAE7NJEXhCCJElSq8nHKeoNYTjCCFUTY1cWU6qq5TaGlJeSs5lSILApA5mh460CIIbR3cAgLsBAb5FWJYd87Dw+SdvDhjcR5Seyc37Z2xUqOpez0CzvbJqV1X157HdvTZ+SHWNkhP73+MMEELorlGq55aY9uyQr1ySznxPGIaJ7KIKDhUJUSxmYjaxBoPI88RiUiwWIkkqQuznxjQhEiH2IdxUhNy8+c6yxMubxCWoRo+jbIPsuuNteQCAuwoBvoXo3n3pLt2i9u1467GZSwuKdpw6uzA8dElkxD17405QlJfyCn7n4z35wo9SVQU3+4lWjWnTGlqtOGy0x6OTlbJS+dIFIetn9nKW7OFBabRE60GCQigvL0rrQWk0ikZjVYjWw4NotIQQqyiwNMPUXZqbTEbPoBCi01Fe3rZ7d5TaCf34AQA6JgT4lqIoZtxjwup3n87Pndz/gfeKy1YXFv+rsOTxQL8HeSFaq43Rau7qPeWPi0quWawbg/2l9APMoN9RoeEuH/KFCgpmgoIt/ZLrP4O3Ggyqes8dZYOBrnvuqJhMlEpF1z2ck2tqKJ3Tu9MDAHRQCPAtR3fuQvdJkg99G9S3/7LuXRdHdlqWf+NfN4pWlZQTQihCItSqh/1934uNZpx9bW2R5dfz8scH+PU7uIfy8mJHjHFu+gAA0N4hwLcKO/r3/IXzytZNyiMTg/0Dlnfv+pdAf71anWM2XzFbztXUri0uq5SUz3rGsE6N8atvFBfxwlKTnly5xM6a75QhaQEAwJ0gwLcK5R+gjHuU2reLX/460/8B5sGRNMN20ai7aNTD/Agf6D/I22tuzjVBkb+Ib/T18uYwSNJb+QUzggN7bttIYuPoXn2clTIAALgNBPhWS7qfSkhkfjgpHj0knT3F9U6SYuOowCAqMIhwqgkBfioVNz0re3rW5bURzhk/YUVBYZUgvlxRTGr0ZOY8p6QJAABuBgHeGTQaZtgoJnWwdOyI+P0x8aczN7/Xaqke8ZMmz1R61j1VywAADclJREFUxs64mG0VhK2JvbjW3auvEqV38m/MDwnqmvZvpXcSCXGfQZcAAMCJ2lOALysrO3z4cG5uLiEkPDw8NTXV1Tn6LY2WGT7amDxQx3FKRZlSXiYU5JMTRwSenzxzHh3fY3rW5bHns9IT4nRsyweb+2dJGS8r/1OUp5iMZOgIJ2YfAADai+zs7KysLEKILMtVVVUO12lPAT4rKys9Pb22tpYQ4u/vX15eTrmq53fjtFoqojMV0ZmK7y137ipv/kz4dN3E2fPp7l3mXMsf8tPPu3rHh7Qoxv9isa4rq1gUEhS86WvmvgFSgPMmhAUAgPZjyZIlu3btIoRQFJWSkuJwnfY0/GdqauqOHTsqKysrKysLCgraaHRvIDaOmz1fzs0RPl0/XKs50rdXMS+kZJzPMpqam9INKz/83AVfllmcd5nwAjNs1N3ILwAAtH2bN2+2RcPS0tLExESH67SnAM+yrLe3t5+fn5+fn30SgraP7hHPzZonX73CpX/RT6M+2a+PB00POZ91pMbQ9ESKeP7Bc5lGWdrRKcTv6GFmQOrNMVwBAKDjUalUfnXsc/k00J4CfPtFxyVws+fTv1wXPlzVRRaPJ/WJ99COvZwz9KfMbeUVd5wivZjnH/wps1aUDib2ijtzkhDC4Ok7AAA0CgH+HqF7xPPT5silJcLqFX61+m97x6/r1rlGkh7LvBRz6seVxWWXTGbRUaQvFcSRmZeqRPFA316xJgPz4w/MoCHUvZw1DgAA2qH29JJde6d07qpa9Efh4zXC6hWqOU9ODwx8skvkMX3NewWFS28U/W9BoYqmenp4xHt4BFOkkhQXWK03eD7fYvVmmUOJveIsJuHDVYqXFzt4mKuLAgAAbR0C/D1FBYdwz7wgfLxWXLeKenQy6Xf/IB/dIB/dtarqi7J8wWS+YDRdMJoOW62d1OpOalUvT99gmpoUHBTLW4R1KwlFCTPmadrP+wcAAOAqCPD3GuWtUy18jt+wntm8gT92mEkdwiT2C+LYLh4eDwX4E0IURTEYDN51U66ZTCbOaBA+Wk0I4RY8a2HwkwEAwJ0hWriCWs3MXWA99yN39pS4ZaP0zdd0v2SlVx8SGk5unQFdXy1/uo5SFG7Bs5Sfv8vnhAUAgHYBAd5FKEqJS+D6JytFN6TjR5gT34nfHRApivL1o0JCWa2nYLUo+mpSo2dqa4jOh1v4HOUf4OpMAwBAu4EA72JUWCd24nTrg6PV1ZVUWalSUqSUFFH514mPHx0SRnr0FDRatlcihUHrAACgORDg2wRFpaK7RtFR0YQQRVEsBoOm7hk8bzIRjnNp7gAAoP1BP3gAAAA3hAAPAADghhDgAQAA3BACPAAAgBtCgAcAAHBDCPAAAABuCAEeAADADSHAAwAAuCEEeAAAADeEAA8AAOCGEOABAADcEAI8AACAG0KABwAAcEMI8AAAAG4IAR4AAMANtbP54C9evCiKorNSM5vNkiR5eXnZPppMJq1WS1EUsU3KbrFotVrbIovFolKpaJq2r+nh4WH7m+d5mqZZlr11kSiKsiyrVKpbF8myzPO8RqOx50Sj0dg3bTab7WtarVaGYRymLwgCIYSrmy2+waYlSVKr1a0pWiObbqRoFotFEATvuvnsGy8ay7IMw7SyaPVr1Wq13r2iSZIkiuLtarWJReN5nqKo5hbNarVarVadTmevVbVa3dyiCYKgKMpdLVoj+0Ijv9pd3RcaKVqDWrVYLBzHtaBoHXA3lyRJEASHReN53mw2+/j42NN3ym5uL5ob7+YNGkz9ogmCYDKZdDqdvenaiyZJErkNSlGU2y1razIzM8+ePevEBHNycvR6ff/+/W0fJUmy/1SKosiybP8oSRJN07aaJYSIomhvNLIsE0LszauJixpPv35OWrZpRVEURbEvupdFu3btWllZWXJy8q3pO2XTLixaI+nfjaLVX5SXl1dYWJiSktKU9CmKasGm72rRnLIvOKto9r8LCgry8vJSU1Pbb9Ha4L5QWFiYm5s7aNAg20fs5o0XrYmbLikpyc7OTklJsa3coMGEhoaOGjWK3KI9BXinW7Zs2enTp9PT012dEbeycuXKPXv27Nq1y9UZcSvr1q3bvHnzgQMHXJ0Rt7Jhw4Y1a9acOHHC1RlxK+np6W+++ebp06ftMQxab9euXa+88sqRI0c8PT2b/l/4AQAAANwQAjwAAIAb6tC36Kurq61Wa0hIiKsz4lZqampMJlNoaKirM+JWampqjEZjWFiYqzPiVgwGQ01NTXh4uKsz4laMRmN1dXWnTp1cnRG3YjKZqqqqwsLCmvXgo0MHeAAAAHeFW/QAAABuqJ31g3cepSrjiw8+OXBZr+6cMu2Z+YPDO2xNtBaff3D96k0nfzGxvtGDZy6clRLKEqX4qyWLPr5kG7GADhz72ocLejMuzme74rgC0WhbQ76x9cU/fJr9a5dhtveCda+PDShBW20FIf/UGalvStebnbodNlG02+ZqUKutOMYqHZJsOPnuvD+sy6gWTDlp/zPnr9+UyK7OUjslF25bMuvl9Cu1kqTP/PRPM5d+UyYrinB+zZN/21tp5Xme5wVBRO02k6MKRKNtJVkSBd7GWnVq1R//sR9ttZUsv+z825xX9lbfrDSHTRTttrka1morjrEd9Ba9cOH7jOARDyf6sNruDz3U89rJH6vxKkKLWLKz8nuOGBPtRdO6+NGDI65nX5eIYi4pIyFhOhXHcRzHsgzl6my2Mw4rEI22lSiaYTmO4zhOubY9vWzYvKGBFNpqSymlB5Yvmv+nj36s/fU7h00U7bYZHNVqa46xHfNeiVJZWEyHDw6gCCFEHR7hX1ZYIhM/3JhrPs2A/151n8aDEEIUw9XcsqDIEJrIZSVlfNaGP84rrCQB8SPmPT010Q/HzWZwVIEEjdZJlNL9X/wUP+3NUJo4rmq01SaggoctXj1MOL1i3jd1Xzk8riq+aLdN56BWW3WM7ZhX8IrVyqu1Glt9UFoPNW+14qSyRSi1t58nRxRL/tH1r6279sDMURE0IYI6pOeAKUv/teGTt6b5HHt33Xc4Z28eBxWIRusk1syv9rGjx/W4OQo52qrTOGyiaLet1ZpjbMcM8JRareItFluFKGYzr1KrcdbeUoo+M/315/66zfzg/74xv683RQjTY+LLS6b1D+QoLij50WHB589edtoMQR2CowpEo3UKpfbUN2cihg0KvFl3aKvO47CJot06QYuPsR00wPuHh8pFRbZTHr6kqCooPKRj1kTrWS59/uqKjO6LVrz97OhoL4oQQhR99onvc2ttuzRF0wzLstilm8FhBaLROoOiP/XdlbhBfT3sn9FWncZhE0W7bbVWHGM7aE1zCSlJJQf35VoUqfjItxe7pPTzxV7dEkrt6a8P+k9bPC2x/kM1uvT4mvc2ndfLRKrK2H6oPGlAHB65NYfDCkSjdQLTz2cud0lM0Nq/QFt1IodNFO22dVp1jO2wI9kphotbV647mGdhg5JnPj8nOaCDnuq0knT5k0VLthXJdZ+pgDGvffh0H7oqY/Pajd/lVFjY4KTxTz0xOtoT+3RzyA4rEI22tYRzqxf+O2DpO1O62KvOcVVD0winV8z7JmHVKyN9bJXmsImi3TbTb2q1VcfYDhvgAQAA3BlOpQAAANwQAjwAAIAbQoAHAABwQwjwAAAAbggBHgAAwA0hwAMAALghBHgAaEi+umKQhmYCZ2yrqfetcdMEr+jFJwRCJGN5UZlBuu3/A0AbgAAPAA1IuVu3nFHpvPR70r7VO1gu3/h4Ysz4f12XHSwDgLYCAR4Afku6sjUtw3/Cay/cZ9yzZW+rZ1dTrGYLhtMCuPcQ4AHgN6SL6VvO+Y+dMnfS73sZ96XtaRDh5Zy3B0Y/e8R4YnG0x0OfVChELj/+3hPD+3b19/aN7PfIS2mXzYQQYk2frEt+4+jupWPiukxPc3QfAADuLgR4AKhPzExPuxAwdsJg79ix4+KM36btrvxNhKej/3wi5/0hngOX55i+eTxAuvDu+LFvXU/+86cHju1dM8dr++PDn/qyVCGEELlg40sfmGf++7u1j/m4piwAHRoCPADUI55PS78UMHbCYA/CJowbG23av2V3xe3vsPPH1678edAb//nHjCFJiQ+Me+6jVXPobet3lCmEEKnca9zyN2ekxIZg/hYAF0CAB4BfCRlpW7M9B9wfUZSbm5vn1fv+YOPBLd+U3y7CK1XZ2SW1u+d3UnE23qPW5vPFRaUyIYT26ZMUhclXAVyFdXUGAKDtEM5s2XpFqLq0oPc2+3eUfsvO0lmPhzi6CqfUGg0T+czenPeHcL9dYr1EKE8vXLoDuA6u4AGgDn9qy5fXA2Z9rVfq8Kdf6mE5nLaz5DbX8F6J/WLKTxzLFm0flYrtz/9u/Ipz4r3LMwDcBgI8ANxkPbFlW37ohDkjdPavuKRpUxP4I2k7iupHeIoQpboov6zWwvSa84ch19+etWjtnjOZZ3e+OeeZ9dW9B8Xh1iCA6yHAA4CN5diWr4q6TZ39X9p6X7IJU6Ymid9t2V7467A2dMigcSn6NSNj5qRXUV2f2LjztcSsZdP/K3n4onT145u+Wnq/+t5nHgAaohQFQ1AAAAC4G1zBAwAAuCEEeAAAADeEAA8AAOCGEOABAADcEAI8AACAG0KABwAAcEMI8AAAAG4IAR4AAMANIcADAAC4IQR4AAAAN/T/OVcCy2oInCwAAAAASUVORK5CYII=" /><!-- --></p>
</div>
-<div id="adding-a-modification-to-the-raw-probabilities" class="section level2">
-<h2><span class="header-section-number">6.3</span> Adding a modification to the raw probabilities</h2>
-<p>Some uses require post-processing of the death probabilities, like adding a lower bound for the death probabilities. To achive this, all <code>mortalityTable</code>-derived classes have a slot <code>modification</code> that takes a function that is passed the vector of death probabilities.</p>
-<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1"></a>AVOe2005R.female.mod =<span class="st"> </span><span class="kw">setModification</span>(AVOe2005R.female, <span class="dt">modification =</span> <span class="cf">function</span>(qx) <span class="kw">pmax</span>(<span class="fl">0.03</span>, qx));</span>
-<span id="cb20-2"><a href="#cb20-2"></a><span class="co"># Make sure the modified table has a new name, otherwise plots might break</span></span>
-<span id="cb20-3"><a href="#cb20-3"></a>AVOe2005R.female.mod<span class="op">@</span>name =<span class="st"> "Modified table (lower bound of 3%)"</span></span>
-<span id="cb20-4"><a href="#cb20-4"></a><span class="kw">plot</span>(AVOe2005R.female, AVOe2005R.female.mod, <span class="dt">title =</span> <span class="st">"Original and modified table"</span>)</span></code></pre></div>
+<div id="adding-a-modification-to-the-raw-probabilities" class="section level2" number="6.3">
+<h2><span class="header-section-number">6.3</span> Adding a modification
+to the raw probabilities</h2>
+<p>Some uses require post-processing of the death probabilities, like
+adding a lower bound for the death probabilities. To achive this, all
+<code>mortalityTable</code>-derived classes have a slot
+<code>modification</code> that takes a function that is passed the
+vector of death probabilities.</p>
+<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" tabindex="-1"></a>AVOe2005R.female.mod <span class="ot">=</span> <span class="fu">setModification</span>(AVOe2005R.female, <span class="at">modification =</span> <span class="cf">function</span>(qx) <span class="fu">pmax</span>(<span class="fl">0.03</span>, qx));</span>
+<span id="cb20-2"><a href="#cb20-2" tabindex="-1"></a><span class="co"># Make sure the modified table has a new name, otherwise plots might break</span></span>
+<span id="cb20-3"><a href="#cb20-3" tabindex="-1"></a>AVOe2005R.female.mod<span class="sc">@</span>name <span class="ot">=</span> <span class="st">"Modified table (lower bound of 3%)"</span></span>
+<span id="cb20-4"><a href="#cb20-4" tabindex="-1"></a><span class="fu">plot</span>(AVOe2005R.female, AVOe2005R.female.mod, <span class="at">title =</span> <span class="st">"Original and modified table"</span>)</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
</div>
-<div id="creating-mortality-tables-from-data-and-modifying-them-using-various-helper-functions" class="section level1">
-<h1><span class="header-section-number">7</span> Creating mortality tables from data and modifying them using various helper functions</h1>
-<p>The package MortalityTables not only provides the data structures and some examples of mortality tables, it also provides several functions to create mortality tables from raw data and modify them. The package provides several editing functions, which all begin with the prefix <code>mT.</code>.</p>
-<p>Let us take as an example the provided dataset <code>PopulationData.AT2017</code> of Austrian population data (exposure and deaths counts for the year 2017).</p>
-<p>For simplicity, we only look at the unisex data (i.e. male + female numbers, which are already provided as total exposure and total deaths). The raw mortality can then be calculated as </p>
-<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1"></a><span class="kw">library</span>(tidyverse)</span>
-<span id="cb21-2"><a href="#cb21-2"></a><span class="kw">data</span>(<span class="st">"PopulationData.AT2017"</span>, <span class="dt">package =</span> <span class="st">"MortalityTables"</span>)</span>
-<span id="cb21-3"><a href="#cb21-3"></a>PopulationData.AT2017.raw =<span class="st"> </span>PopulationData.AT2017 <span class="op">%>%</span></span>
-<span id="cb21-4"><a href="#cb21-4"></a><span class="st"> </span><span class="kw">select</span>(age, exposure.total, deaths.total) <span class="op">%>%</span></span>
-<span id="cb21-5"><a href="#cb21-5"></a><span class="st"> </span><span class="kw">mutate</span>(<span class="dt">qraw =</span> deaths.total <span class="op">/</span><span class="st"> </span>(exposure.total <span class="op">+</span><span class="st"> </span>deaths.total<span class="op">/</span><span class="dv">2</span>))</span></code></pre></div>
-<p>We now have all data needed to put it into a <code>MortalityTable</code> object (some fields like the exposre and the data list are not strictly needed, but can be useful later on):</p>
-<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1"></a>PopulationTable.AT2017 =<span class="st"> </span><span class="kw">mortalityTable.period</span>(</span>
-<span id="cb22-2"><a href="#cb22-2"></a> <span class="dt">name =</span> <span class="st">"Austrian Population Mortality 2017 (raw)"</span>, </span>
-<span id="cb22-3"><a href="#cb22-3"></a> <span class="dt">baseYear =</span> <span class="dv">2017</span>,</span>
-<span id="cb22-4"><a href="#cb22-4"></a> <span class="dt">deathProbs =</span> PopulationData.AT2017.raw<span class="op">$</span>qraw,</span>
-<span id="cb22-5"><a href="#cb22-5"></a> <span class="dt">ages =</span> PopulationData.AT2017.raw<span class="op">$</span>age,</span>
-<span id="cb22-6"><a href="#cb22-6"></a> <span class="dt">exposures =</span> PopulationData.AT2017.raw<span class="op">$</span>exposure.total,</span>
-<span id="cb22-7"><a href="#cb22-7"></a> <span class="dt">data =</span> <span class="kw">list</span>(</span>
-<span id="cb22-8"><a href="#cb22-8"></a> <span class="dt">deaths =</span> PopulationData.AT2017.raw<span class="op">$</span>deaths.total,</span>
-<span id="cb22-9"><a href="#cb22-9"></a> <span class="dt">dim =</span> <span class="kw">list</span>(<span class="dt">sex =</span> <span class="st">"u"</span>, <span class="dt">collar =</span> <span class="st">"Population"</span>, <span class="dt">type =</span> <span class="st">"raw"</span>, <span class="dt">year =</span> <span class="st">"2017"</span>)</span>
-<span id="cb22-10"><a href="#cb22-10"></a> )</span>
-<span id="cb22-11"><a href="#cb22-11"></a>)</span>
-<span id="cb22-12"><a href="#cb22-12"></a><span class="kw">plotMortalityTables</span>(PopulationTable.AT2017, <span class="dt">title =</span> <span class="st">"Austrian population mortality (raw), 2017"</span>)</span></code></pre></div>
+<div id="creating-mortality-tables-from-data-and-modifying-them-using-various-helper-functions" class="section level1" number="7">
+<h1><span class="header-section-number">7</span> Creating mortality
+tables from data and modifying them using various helper functions</h1>
+<p>The package MortalityTables not only provides the data structures and
+some examples of mortality tables, it also provides several functions to
+create mortality tables from raw data and modify them. The package
+provides several editing functions, which all begin with the prefix
+<code>mT.</code>.</p>
+<p>Let us take as an example the provided dataset
+<code>PopulationData.AT2017</code> of Austrian population data (exposure
+and deaths counts for the year 2017).</p>
+<p>For simplicity, we only look at the unisex data (i.e. male + female
+numbers, which are already provided as total exposure and total deaths).
+The raw mortality can then be calculated as </p>
+<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" tabindex="-1"></a><span class="fu">library</span>(tidyverse)</span>
+<span id="cb21-2"><a href="#cb21-2" tabindex="-1"></a><span class="fu">data</span>(<span class="st">"PopulationData.AT2017"</span>, <span class="at">package =</span> <span class="st">"MortalityTables"</span>)</span>
+<span id="cb21-3"><a href="#cb21-3" tabindex="-1"></a>PopulationData.AT2017.raw <span class="ot">=</span> PopulationData.AT2017 <span class="sc">%>%</span></span>
+<span id="cb21-4"><a href="#cb21-4" tabindex="-1"></a> <span class="fu">select</span>(age, exposure.total, deaths.total) <span class="sc">%>%</span></span>
+<span id="cb21-5"><a href="#cb21-5" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">qraw =</span> deaths.total <span class="sc">/</span> (exposure.total <span class="sc">+</span> deaths.total<span class="sc">/</span><span class="dv">2</span>))</span></code></pre></div>
+<p>We now have all data needed to put it into a
+<code>MortalityTable</code> object (some fields like the exposre and the
+data list are not strictly needed, but can be useful later on):</p>
+<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" tabindex="-1"></a>PopulationTable.AT2017 <span class="ot">=</span> <span class="fu">mortalityTable.period</span>(</span>
+<span id="cb22-2"><a href="#cb22-2" tabindex="-1"></a> <span class="at">name =</span> <span class="st">"Austrian Population Mortality 2017 (raw)"</span>, </span>
+<span id="cb22-3"><a href="#cb22-3" tabindex="-1"></a> <span class="at">baseYear =</span> <span class="dv">2017</span>,</span>
+<span id="cb22-4"><a href="#cb22-4" tabindex="-1"></a> <span class="at">deathProbs =</span> PopulationData.AT2017.raw<span class="sc">$</span>qraw,</span>
+<span id="cb22-5"><a href="#cb22-5" tabindex="-1"></a> <span class="at">ages =</span> PopulationData.AT2017.raw<span class="sc">$</span>age,</span>
+<span id="cb22-6"><a href="#cb22-6" tabindex="-1"></a> <span class="at">exposures =</span> PopulationData.AT2017.raw<span class="sc">$</span>exposure.total,</span>
+<span id="cb22-7"><a href="#cb22-7" tabindex="-1"></a> <span class="at">data =</span> <span class="fu">list</span>(</span>
+<span id="cb22-8"><a href="#cb22-8" tabindex="-1"></a> <span class="at">deaths =</span> PopulationData.AT2017.raw<span class="sc">$</span>deaths.total,</span>
+<span id="cb22-9"><a href="#cb22-9" tabindex="-1"></a> <span class="at">dim =</span> <span class="fu">list</span>(<span class="at">sex =</span> <span class="st">"u"</span>, <span class="at">collar =</span> <span class="st">"Population"</span>, <span class="at">type =</span> <span class="st">"raw"</span>, <span class="at">year =</span> <span class="st">"2017"</span>)</span>
+<span id="cb22-10"><a href="#cb22-10" tabindex="-1"></a> )</span>
+<span id="cb22-11"><a href="#cb22-11" tabindex="-1"></a>)</span>
+<span id="cb22-12"><a href="#cb22-12" tabindex="-1"></a><span class="fu">plotMortalityTables</span>(PopulationTable.AT2017, <span class="at">title =</span> <span class="st">"Austrian population mortality (raw), 2017"</span>)</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
-<p>Of course, we sooner or later want to work with a smooth table rather than the raw death probabilities. The most common approach to smoothing mortality tables is the Whittaker-Henderson method of graduation, which is provided by the function <code>whittaker.mortalityTable()</code>. The parameters are the <span class="math inline">\(\lambda\)</span> smoothing parameter (determining how smooth the result shall be, which in turn means that the result might be quite distant from the raw probabilities in some ages) and the order of differences <span class="math inline">\(d\)</span> (the default 2 typically suffices). Since we have the exposures available and stored inside the table, the <code>whittaker.mortalityTable()</code> function will use the exposures as weight and so try to match age ranges with high exposure much better than e.g. old ages with hardly any living.</p>
-<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1"></a>PopulationTable.AT2017.smooth =<span class="st"> </span>PopulationTable.AT2017 <span class="op">%>%</span></span>
-<span id="cb23-2"><a href="#cb23-2"></a><span class="st"> </span><span class="kw">whittaker.mortalityTable</span>(<span class="dt">lambda =</span> <span class="dv">1</span><span class="op">/</span><span class="dv">10</span>, <span class="dt">d =</span> <span class="dv">2</span>, <span class="dt">name.postfix =</span> <span class="st">", Whittaker"</span>) <span class="op">%>%</span></span>
-<span id="cb23-3"><a href="#cb23-3"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"smoothed"</span>)</span>
-<span id="cb23-4"><a href="#cb23-4"></a><span class="kw">plotMortalityTables</span>(PopulationTable.AT2017, PopulationTable.AT2017.smooth, <span class="dt">title =</span> <span class="st">"Austrian population mortality (raw and smoothed), 2017"</span>) <span class="op">+</span></span>
-<span id="cb23-5"><a href="#cb23-5"></a><span class="st"> </span><span class="kw">aes</span>(<span class="dt">colour =</span> type)</span></code></pre></div>
-<p><img 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" /><!-- --> As a side note, this example also shows how the additional dimensional infos set be either the constructor of the table or the <code>mT.setDimInfo()</code> function and stored in the <code>table$data$dim</code> list can be used by ggplot as aesthetics.</p>
-<p>Now, if we look at the exposures, we see that above age 95 we are below an exposure of 5000 and at age 100 we are below exposure 500. So, for these old ages we apparently do not have enough data to derive mortalities with sufficient significance. So, let’s cut the table at age 100:</p>
-<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1"></a>PopulationData.AT2017.raw <span class="op">%>%</span><span class="st"> </span><span class="kw">filter</span>(age <span class="op">></span><span class="st"> </span><span class="dv">90</span>)</span>
-<span id="cb24-2"><a href="#cb24-2"></a><span class="co">#> # A tibble: 20 x 4</span></span>
-<span id="cb24-3"><a href="#cb24-3"></a><span class="co">#> age exposure.total deaths.total qraw</span></span>
-<span id="cb24-4"><a href="#cb24-4"></a><span class="co">#> <dbl> <dbl> <dbl> <dbl></span></span>
-<span id="cb24-5"><a href="#cb24-5"></a><span class="co">#> 1 91 15616. 2963 0.173</span></span>
-<span id="cb24-6"><a href="#cb24-6"></a><span class="co">#> 2 92 12870. 2721 0.191</span></span>
-<span id="cb24-7"><a href="#cb24-7"></a><span class="co">#> 3 93 10245. 2451 0.214</span></span>
-<span id="cb24-8"><a href="#cb24-8"></a><span class="co">#> 4 94 8024. 2113 0.233</span></span>
-<span id="cb24-9"><a href="#cb24-9"></a><span class="co">#> 5 95 5875. 1727 0.256</span></span>
-<span id="cb24-10"><a href="#cb24-10"></a><span class="co">#> 6 96 4041. 1382 0.292</span></span>
-<span id="cb24-11"><a href="#cb24-11"></a><span class="co">#> 7 97 2480. 885 0.303</span></span>
-<span id="cb24-12"><a href="#cb24-12"></a><span class="co">#> 8 98 1139. 433 0.320</span></span>
-<span id="cb24-13"><a href="#cb24-13"></a><span class="co">#> 9 99 591. 237 0.334</span></span>
-<span id="cb24-14"><a href="#cb24-14"></a><span class="co">#> 10 100 405. 182 0.367</span></span>
-<span id="cb24-15"><a href="#cb24-15"></a><span class="co">#> 11 101 259. 116 0.366</span></span>
-<span id="cb24-16"><a href="#cb24-16"></a><span class="co">#> 12 102 208. 98 0.382</span></span>
-<span id="cb24-17"><a href="#cb24-17"></a><span class="co">#> 13 103 132. 82 0.473</span></span>
-<span id="cb24-18"><a href="#cb24-18"></a><span class="co">#> 14 104 70.8 42 0.458</span></span>
-<span id="cb24-19"><a href="#cb24-19"></a><span class="co">#> 15 105 37.7 26 0.513</span></span>
-<span id="cb24-20"><a href="#cb24-20"></a><span class="co">#> 16 106 16.9 14 0.586</span></span>
-<span id="cb24-21"><a href="#cb24-21"></a><span class="co">#> 17 107 6.98 2 0.251</span></span>
-<span id="cb24-22"><a href="#cb24-22"></a><span class="co">#> 18 108 3.37 3 0.616</span></span>
-<span id="cb24-23"><a href="#cb24-23"></a><span class="co">#> 19 109 0.8 0 0 </span></span>
-<span id="cb24-24"><a href="#cb24-24"></a><span class="co">#> 20 110 0.17 1 1.49</span></span>
-<span id="cb24-25"><a href="#cb24-25"></a>PopulationTable.AT2017.cut =<span class="st"> </span>PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb24-26"><a href="#cb24-26"></a><span class="st"> </span><span class="kw">mT.fillAges</span>(<span class="dv">0</span><span class="op">:</span><span class="dv">99</span>) <span class="op">%>%</span></span>
-<span id="cb24-27"><a href="#cb24-27"></a><span class="st"> </span><span class="kw">mT.setName</span>(<span class="st">"Austrian Population Mortality 2017, Whittaker-smoothed and cut at age 99"</span>)</span></code></pre></div>
-<p>Even though we don’t have enough statistical data to derive significant mortalities above 100, we still want to create a table that covers this age range by extrapolating the significant table to higher ages. This is typically done by selecting a fitting function and an appropriate age range, where the function is fit to the data. The parameters of the function calibrated to match the mortalities in the fitting range as good as possible are then used to extrapolate the mortalities with the function to ages outside the existing table.</p>
-<p>The function <code>mT.fitExtrapolationLaw</code> uses the package <code>MortalityLaws</code> and the function <code>MortalityLaws::MortalityLaw()</code> to fit one of the mortality laws (see <code>MortalityLaws::availableLaws()</code> for all available laws) to the data and use that law to extrapolate to the desired ages, with a potential feding-in or fading-out age range.</p>
-<p>In this example, we fit a Heligman-Pollard-type law (HP2) to the raw data and use it to extrapolate up to age 120. The age rante 80–95 is used to linearly switch from the (smoothed) death probabilities of the input table to the death probabilities calculated from the fitted law. So in this case, all observed probabilities above age 95 are not used at all anyway.</p>
-<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1"></a>PopulationTable.AT2017.ex =<span class="st"> </span>PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb25-2"><a href="#cb25-2"></a><span class="st"> </span><span class="kw">mT.fitExtrapolationLaw</span>(<span class="dt">law =</span> <span class="st">"HP2"</span>, <span class="dt">fit =</span> <span class="dv">75</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">extrapolate =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">fadeIn =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">95</span>) <span class="op">%>%</span></span>
-<span id="cb25-3"><a href="#cb25-3"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"smoothed and extrapolated"</span>)</span>
-<span id="cb25-4"><a href="#cb25-4"></a><span class="kw">plotMortalityTables</span>(PopulationTable.AT2017, PopulationTable.AT2017.smooth, PopulationTable.AT2017.ex, <span class="dt">title =</span> <span class="st">"Austrian population mortality (raw and smoothed), 2017"</span>) <span class="op">+</span></span>
-<span id="cb25-5"><a href="#cb25-5"></a><span class="st"> </span><span class="kw">aes</span>(<span class="dt">colour =</span> type)</span></code></pre></div>
+<p>Of course, we sooner or later want to work with a smooth table rather
+than the raw death probabilities. The most common approach to smoothing
+mortality tables is the Whittaker-Henderson method of graduation, which
+is provided by the function <code>whittaker.mortalityTable()</code>. The
+parameters are the <span class="math inline">\(\lambda\)</span>
+smoothing parameter (determining how smooth the result shall be, which
+in turn means that the result might be quite distant from the raw
+probabilities in some ages) and the order of differences <span class="math inline">\(d\)</span> (the default 2 typically suffices).
+Since we have the exposures available and stored inside the table, the
+<code>whittaker.mortalityTable()</code> function will use the exposures
+as weight and so try to match age ranges with high exposure much better
+than e.g. old ages with hardly any living.</p>
+<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1" tabindex="-1"></a>PopulationTable.AT2017.smooth <span class="ot">=</span> PopulationTable.AT2017 <span class="sc">%>%</span></span>
+<span id="cb23-2"><a href="#cb23-2" tabindex="-1"></a> <span class="fu">whittaker.mortalityTable</span>(<span class="at">lambda =</span> <span class="dv">1</span><span class="sc">/</span><span class="dv">10</span>, <span class="at">d =</span> <span class="dv">2</span>, <span class="at">name.postfix =</span> <span class="st">", Whittaker"</span>) <span class="sc">%>%</span></span>
+<span id="cb23-3"><a href="#cb23-3" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"smoothed"</span>)</span>
+<span id="cb23-4"><a href="#cb23-4" tabindex="-1"></a><span class="fu">plotMortalityTables</span>(PopulationTable.AT2017, PopulationTable.AT2017.smooth, <span class="at">title =</span> <span class="st">"Austrian population mortality (raw and smoothed), 2017"</span>) <span class="sc">+</span></span>
+<span id="cb23-5"><a href="#cb23-5" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">colour =</span> type)</span></code></pre></div>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAHgCAIAAAD17khjAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nOzdd0BT1/cA8HNfJhtkTxmKiAJ1oYhb66paW7cdjlrt0mqrbbV+bfuzu7XL1tpt66qz1r0rKg7cqKgoiuy9AmS8cX9/BGOEEAJCQvB8/spJXl7Ou3k3J29eQikFhBBCCLUsjKUTQAghhFDjwwKPEEIItUBY4BFCCKEWCAs8Qggh1AJhgUcIIYRaICzwCCGEUAtkzQWeO7soXEIIIUQc8OphlfkToFk/DpQRQiThi85y5v/4pveQC9ji28eIasveJE1ReWphpIxxGvJTmtBYs7QY4e63fWSEEEnU+5esc11p/K+4WpvQvPXj3EWS0DmHy+oxE/XtnR8+36+9t6NcZuca2PmJ1344lnM/PVqe9Peisd2DXO1snbzDB76w7FAma2AmbG7SyfiT1/Kq3sgnf9ZdSgx7FDt7M2bFBZ49v2nrTe2qxGdt3xzfmBVeyNn21lMjR44cPXdDC/jxNJOW3WiNu3SNMDcuafm8b6/wQVMWPhdgxd3YWpl/bSceYxa+FE5u/TTv87Nq094i3P1zUq/RS1bHXc9RqDWVRXcv7P5h9sCYaZsyBQCAyvOfDY995pMtCalFlcqynGuHf18wtOeUv9OrLQ/N2fxa/169+i/YXYY3TbEyYksn0GDs2U1bb937q8hn79h8/KuBg+SNNfeKlPjdO09oJJ26f1T7Ok1cBv9v7d8zecYxPETUWJ9sxao3WstqH5NWidrUaIqHmhsA0LxN732ZoJL1eGV2b9uGzAA9pIf9BhtA+thLrw/8dua+5Yv/nLV7pn+df+tURz5fsj2bB5Hv8P9bsWSY291Ni177LC4/df38T6aN/L5f5q9vfHi8RGA8H3/3+/dGtrr83cuvr01O2/Dme5OH/z7CEQAAhIq78Ws/mvvW1jwBZLr5Mt5PfrQ2sFD/f4CQvfP9t9cms7LwUU+EWW9VaXGs9qvQnN609Q4PRBbWsXXKlWQ2a8eW418ParwKbxKbkH5jQ8z6idYF20enkZuCT/pl2fZC6jBi5rNtrP+/EzIR4ztu5qhF+9ce+vqHs1M/jZYan5pLOhyXxQOR9V648p1R/gx0j/z+xp7OSy6yWYcPXtEEHd90spKCpOvc794bGyaC2B+XnT7w5KrcnF3/HFeOGFbx95Qec/65W1DO1fj/QhzCBo0L03tCuPvbk6/d0oBdj8V/vh9r38hLjRrOWvftqU9u+ucuD0TeZ/byGd0kBITsHZuPKe+9rDn8ip+IEGLz9Pryqqe4C//rKCGEyPp/r90FJRSc+nnu6OgQd3uZ1NbFv+OA5z7YfK2cAs36caBNm/knNADAXvhfR6nni/s0/JWlnaSEEFmvr5JTd707ooNn2LxjmhpH3TRp+7+cMTiqtaudVCJ39Gob89Sbv50togAA9+ew7OzJH17sG+puJ7d1a9tn+ncnCg1tAegW4ak/k3YsHhXp7ejoFd7n6dnf/ad/lEyTfvjbV0d0DXazl9s4erbt8fQbP5/I5U2cgymtVD2rWhbQYKMZOippLOH6NhEb/0aImBBiM3LFkRWTO7hIGKmDT9TIhf/cVqtubZw3KMzD3tbZv+OAGT8kFOu/37Qcqn3RNZbO+NddjX5TsDXntuXvia4iQoik4+Lzur1SyZ93lxJCJGHvJFQ/Lsqe/fOvSxpwfHzSSA9Sa9ps7RkKt7/uJWMIEQfMPqIBAOAuvRcpIYQwzpO3lgMAcOe1a4K0y0dX+XqsCaZ+j7TozC/zxvQO83Bw8I4cuWjbHY2BD7mvtt7aRKuB8QkMru16X3b5lb9eHxzu6WDXKrDLU4s2X6+4P8uMw1/PGhLp52xr1yqgQ9/n/m9zkt5ubxPaxGnwxCfcGO7m2lXH6jwmKRTkFQgAxLV9e0/tD73IPyhABAC0XFGuuXoxiaXAOEU8Fqz9j2gb2amdGEAovpx4lwegILJz82sdGOjtKCFGPydjzdyFuwuoTde3f5z/mHm3sVAdqFVSHno1QARAbAb9mKFJ/qKHlAAwPjP3VVa9rj70si8DAPKn1imqnmLPL+4gBgBpv+VpPKWKY29H2lZfbRnnPl9cUuZve2NQjzZODAAwDkHd+o/+IoHlLv/fYxIAkHSZ/FyUDQEQBcw+os5cMUAKAOL2C8+wlAr526cH1egKxLHP19c5Su/NQeQT1s5J/38V4zryj3S+xiLeWwRxcHioXG+mROw7fq12etWV74d5iat9IJEEjP0zhTVlDnW2kmDyArKGGq3a2+tMuL5NpDk+L1gEAMTWTv+rJLI2Pbo98DGM1+TN+YL2TSbm8OAXbXDpjH7d1ZtOL9QYmFvR9imeDABIHvu/yxyllFI+/Yf+MgIg7rD4HFttwdlzizuIgcgH/5xdtVS1pF17hlziB9o3dPvkGkepkPvrUO06Ig596zRLqZD90+MyAiBu9/bp6h/fCKt62fFFXez1vzOpp5crAwDiyPcu1vy82nurqmlWA+MTCMbWdsatXTsPvaUmIv/pO4oESil3+88xftVmyTh3X/hfoVCPNile97QDAVHg3GOaGu1UDaeqqCgvr6hU3+s77LnFHcUAIOnx+Y30lYNkACBqM//EvRkV/zVSDgAi/9f+05u35tjcIBEAyJ74o1Co+SFC0Y7p/iIg4tB5xyrqygiZmXUW+MoDL/mJAIjNwBXpPOVufNa9WoWvs3SVbhzvRAAY1yGfHUvJyU27tP3tWEcCwHhM362klL/1ZU8pAEg6Lb3CUXr/N4swjMguqOeoSVPn/ZXEPvAjzqd+11dGAES+Ty47cPF68pWjK8a3Fml7UzKnmwMQeZvR7/+xY9+uP98d5C0CACIb+GNmjZ5zbxGAMG695v26+8iB9R+MbC0lACAKmn1ESbnkZbG2BIBI/Id/sCn+4oW4NW/38xQRAOL0xG8ZfN1zqGeBr2MBazZatSJXZ8L1baJ7v+zAuPac89O/e7evmF5VBog0+KmP1u3es27JYC8RABCnZ7YpKa1HDg980RytuXR1tIaRAs8amBut2DfTlwEASfSn1zlKqZC/aqQdAZBEfZDIVVvuquKrX3sNpX0lxViGmpML2ooAiO3IPwsEqto7o2ojD6T9v0/nqXLXNHcGQOT/6mFVjf73sKu65sJ7UVICQGzDJn2x9dDhf5ZNDrPRljaDBd54b22S1aCuCWpf24GIvPu/+dO23f+ufCXamQEA4jRpSzkV8taNcWUAGM9hX8ZnlClyz696PlRCAETBc45UmN4m3JWlnSUA0thlKTX/8xpVfuHz/i4MAHHo9+1NTcqynlIAEEcsuXBv5sotE+wIAOM6bbdar5sZLfCai+8/JiXAtBq9OsdA+UeWZZXH4CuPbtyexQORxzw9wocBJmTU6KjFp8+wOTs3H60cPMSEc46oRqFQAQBVpp09dKSDbGDvYUvW7B94o0Rg3DoYPWwhj/4g/vC7UTYAADTriP5LNjFzf1/9IkgC+4yN9SPqArWN9t86LStV3N8NJ2o945d17/WzAYABfnd2dnn/EsfnZuby4GP4u2CcR321adlzXgSgb4xHXsTgH+7wabt3XPjc7dCahEoKIv8pP61fMswRAKKiNjC3wp/dUlh2cN327Kkv1DGHZTF1N9QD6lhAo7vxAPjrG+pIeGYDm0jc8bUfl82MFIPQMX3Tmlf/0xD7ER/+vmiSM8BAydFfD67MElSlJUoAuek5PPBFN6Q16sm27zNjAn77LpW7uHNP2oJ2QeVxe49XUiKJmjAuvPpBdj4t5S5PgfHw8qixruqlLeSdNZKhpNPggV7Lbmaqzsaf10z2On22SJB27tMl+djpS6fPq2a1Pn22WADGfcDQaFn1z3jYVZ29u3btFQ0lkqgF6/+c/5gEYEDvwLKr0f93iTXYcCb21kZcDZ7rU9d68rJ3bd8kcXzyy01fTHYlAAMdLu94/Id0XpmTU8IXHVy3p0gAcfiMD1/v6SsG6PT8l+9s3PzC7sq7/2xK+Fi6y8Q2Ydy93BkA7u7tuzwEm3qMlc85+P6ESR8fK6Zi/6e/+/WVNqK79+Z7f/6EaL9FSk2+LqDi0A+/JGqoKPjZeWM86/gFQOZnjcfgK45s3JEjAIh8vblT/2zZsmVbIvHzEAEIOTs3H600ZRak1bDp41vLCK28tun9F0ZEB7l7RD3z6daz+S6RUX7GTl0Rh40Y3dHwjz7j0fWJ/oGqa/s/f6ZLG08He49Or/6bW7OjiHyDA6p+MplWbq0YAADByJi94scG9feo6jl2MYNi7AmAkJlyR5GcdIsDIPZ9nujneG+x3Ac/0V0CQLnkpJt8XXOo73WFJi5gbViTE65vE4m8fD1FAABEIpUSAGBc/f3stB8glenvSTY9ByNfdFVmD9caNchiJo8PEQNlz+7YkyUoT+w9UkqJpOuEsaE1TqITyhUVAgBxcHKo/pOqn3YdGcp6DO3vwoBQkHDyRsHZ0zc4cfDAV0ZHSYSycwlJuWcTbvJA7PsO7WXX4GWv5XukhYkX03kAxq//oA6Sqrw7DhsSVNvZgib21kZcDVQmryc1ibzbhTppP4xxcnHUlkxB4G5evaGmAFzSR120d+8gjMf03ZUUgM+7mXz7kqltQhycHBgCQrmi3MTVTcg7+smo6Cc+OlpA7SNnrPlv3dQQMRAbWxsCALSiovJe11JXVPK0xrEOI2jxrj+2ZAsgDps8paex3oIsxAoLfPl/G3fmCQDApax9ffzYsWPHjp3wzj+ZPAAIubu2mFbhGe+xqy5dPvjnJ69P6BvmKgVN8a0T21Yufr5X9xnb8o1sf93rFgYIWRuej+734od/nNBEv/LttlM3c29807eO81xNQu5/IBGJCAAAI5GIdH+99V4HhtH+oPC8QE2YQ708/AKanPDDIqTWHygTczDyRWs1+tct6TJpQpgYqPrUjr0ZCXsP5gtE2n3CGAMXGBKJVEIAqEqpqt5m+mnXlaFd7yG97Qhw108cO3jygpo4dus1tEdXbxGfknDiwIkLGkpseg7t79Toy06VlUrtZZT666WDY41/KzoN7q0PsRo0fF0lBh8Cq9EAADBu7Xv3q6Z3W6cK09tErVRTqvsXU5eKxB/HRj/+7u50Vh468cejx36aEKI9kNDKx0tOAGhpUUnVHwWhWPtQ5O3nbVphUPy37WCJAOLQJ0dHWuXO4BbP+gq84tCG3QW1/XUVcndtjqsEIETbF4XS4tKqabnCghLd29Q5SWfOXCty6DLl07+PXMvNv31yy+fjQ6WEsmlbN9R9eqrBj87+9+d/MjkqDn9pxQ9vTBzUJcQh7XrKw9/TiUs8FFdQ9XtSefrQCQUFELeLaG/ftn0bMQAtP7Y77t6drWj+vl0JLAARtwkLEdc1B1ldrdS4CygxOeGm03g5NMHXLY6YODFKQqjy+D9frd+fwRN57MSnWxvooYyXrxcDQIuLio0UmjozJC4DhnSXEapJ+HPF8QIq6dyzm0NU9842wJ5dvTK+UCCSLkMHuhsoIg+57Iybn4+MAAgZcYevV71LyDwWl1zbHBq9t9a5Gtg0/roqCtCewC5qO/33Q/9V2b9z65bNmzdv+PSpDv6mtolQUlQsADBePp51/noLGeunD5+97a6GOPd8d++JdbMec9R9n9IOj4VLAITS86evaa/SUJxPSOIAGOeOEa1N+vevSTgQVyIA4967X0es782S1RX40gMb9xQKQGR9v0vVP8eEvbgkQqyt8EcqgPHw8hABAHv8mze//efwf3tWL538yqosXelSHlkyKKZHj+4xY97bcSWzVHD0axvq6yACAMbNy0MMwDDaHYrF2bkqIzuH9bEallIAPvXA+t2Xkq8e/2v+3F9TjOzKM5FQ9O8bE97569CJuC2fPDd95W0eiLzrpPHtpe3HT+4qJ8Cnr5r13CfbzyZdPfH3uxPnbi0QgDj0f2b0/dtg1DYHUV2tVN8FNN5oIpMTbjoPk0O1pXvIr9tQW4nCJkzqJiW04sCK369zxKbPxNF+hhISBURFuDLA3bl201h1qzND4jVoSCcxCMVnTl5jRW1jursz9p27h4uF4rOnb3Ag7jjkccMN8pDLbtdzUIwtAaq58NmkF77beTx+70+zxy48VOuZC3X21vqqczWQmLCe1PMngvEf8XR3GwLcmRULV57IKGcrM08snxDu7ubmHjh2VYaNyW3C3rx2iwNi1zGqjRiE9A1zRg4bNmz405+dqHmP2YqDS9/ekslTIg4ZMSEy/8jWLVW27k0sJEGjnu4iJ8BdXjZ11vLN//z5/vPzNxUKwHiOeLq3Sbvb+dtnz+ULAJKOnSMbY1clagIWOrmvgYTijRNcGAAijfny5oPnkLKn3woVAwDjNX1XOeWSPu9pp7/xwbiFhroxcO/88LKjb0cZOM7EuA//+RZHKa3Y/ryr9gx0IvZ6ca/63onB0tiv7p+7+uCp0VzS5zEPXKZjGxjsLQIAxv35fxXUwBz49O/7SwFAHP5ujSuh7l/k1jo0RKa/n9ApZmmC9nIUZeK3gz1FNa/kGfPHLdakOdTVSvVawJqNVuMyuToSrm8T3Tt9Wjb4Z+0JvELuL0NkACAKuncNkebo661FACAbsaqImtJoBr9oSmsuXaXx1qjjLPoabVW1uHe/71+1i53YP/F7racll2ya4EJAFDgnruqNhtKu8/uilL34XtWuVcZ9+m6l3koDIG73dkLNC9ZMmXOd36NQsu/lkAeusiMSN3eXWi+TM95bm2I1MGGCOtf2GpfmVp7/rI/2TAQgpGpfPJH4P/XrDTU1uU3Yc++Gi4HYPfF7rkApl/RxVwkAEPtJW2tc7aD571U/w1viVS1TnvBBjwcPAhCx/7jVdx68bKPWs+gr/5nsRAAYv1cP13nFHrIM69qCpyV7N+4rEQDEESOGBz2Yu/ixEcP8RABC3q7NRypE7edt3Pp/47oFOMmktu7tBrzyy56fxunt0nLo/fHhY6sWTeofEdDKVioSy518wvs9+8Hm4xtfDBEBgO2w93+aPaCtm61Eau/mam/KwS5R+3mb/v1wQnSQq0OrwC5DX/7xaMLPT3kxAELBxu9WZzT0/Ctxp4Vb1y0YFu5hZ+8Z3mfsm7/+t/vdbtoLBeQRc7Yn7F320rBOAa1spVI7t+Do0XN/PJLw99QHdiHWPoe6WqmeC1hno5mYcJNqcA7Vlk78cF+34bZi/J+e3NeWAAC5fxMbA5wGTx7pwfDpO/85XftdyU1YIcXhgwe1FgEAkXbp2UUGAJKo7p3kBABE3oOGRtXSIg+7qhOnwctPHPv17cmPdw5ysbXzaD/kjdXr36x9L29dvbUB6lwN6pyg/j8RNp3e2n1i03uTe7V1t5XKnf3ax054988T5za+ECo1uU24K9u2J3PEafCkkYaOnuijpbdv5xvdr2LX7X/7j/+1YHSX1i42Mjv30D7Pf7Lz+OpnA01rUz7z1u1KCiAydDUHaiYs/Q8D1cLARepmnwMyO+76p9ESAOIybkORscuK1QkLO4gJ4z11R5nZckMWp4x7PVgEouDZ/+ndU0Z96BU/92m71LW/DT2q8J8XQs2GUHhy9dYrHDCuwycNcTG2hSbt+vrip9whZ/PydQbvKYxaIJr/z/I1qdT58Xfm99Hd7YPP2rFqd1mn7ngaO6oJCzxCzQHN+WVkK3uvPh8lVFJR64kvDDF0fZoe4jnuo8V9HSoOf/XtSaXxSVHLwF5e+eX2Inm3tz6fcm+AYOH2iqEdZ5zv/e23Uw2ej4kecfivr7kSeceMn6osFiRdgiWWmgMyI8Lwalbk4BPaddgrnyztV/f9GEVtX161y/N4mkxeTsH4RfuoBaAVpMv8P9Z593gqQnfOOuM95perU1p72+HXjwwh1MSLwBBCCCFkPXC3DkIIIdQCYYFHCCGEWiAs8AghhFALhAUeIYQQaoGwwCOEEEItEBZ4hBBCqAWypuvgk5OTr1y50ogz5HmeUioWVzVC1b39GKZhoSAIIpGoAaE2E9NDjuN0OWPIsqxIJNJ9EXW2JMMwujG36xUKgkB0Y4Q0pxB0I5s9XPiQ63+DQ0EQBEHQ74bYlSwS1qvpqvWOmt0Qu5I5Q29v75iYGKjBmgr8yZMn1Wp1cHBwY81QpVLxPG9nZ6cNeZ7nOE4mkxkMBUFgWdZIqNFo5HK5NqSUqtVqI6FKpbKxsWlACABKpRJD7WNKaXl5uVwul0gkulflcrmu0xoPVSqVTCYzEkqlUl1fUqvVEonESCgWi3W/gMZDjUYjEolMDFmWJYTofohrhgCgW/x6hRzHUUqNhIIgSKVVN1XheZ7neSOhkb5jvCup1WqWZe3t7XWvYldqJqHpXUmhUMhkMt36gF3JnF1JIpFs2rTJYIG3psFmVq1ade7cuUacoUKhKCoq0oUsy1ZUVNQWchxXXl5uJFQo7g/pwvO88bCs7P4YIYIgGA9LS0v108ZQ91gQhPz8fKVSqXumrKxMEAQjoXa3jZZCoTAeajuqVnl5ufGQZe+Pc1pRUWEkrKys1Gg0JoZKpVKtVhsJVar7A4WqVCrjoX5bqdVq42FlZaUu1Gg0RkLjfcd4V6qoqCgsLNR/FbtScwjr1ZUKCgr01wfsSubsShzHzZs3jxqCx+ARQgihFggLPEIIIdQCYYFHCCGEWiAs8AghhFALZE1n0SuVyqysLGdnZwBwdHR0c3OzdEYIIYSQBSgUipycHO1FJWq12uA01lTgExIS3nrrLYVCAQDOzs5FRUW6yzAQQgihR8eECRP27NkDAISQnj17GpzGmgp8ZGRkTExMUFAQAHh6emJ1Rwgh9GhauXLl9evXNRqNVCrduHGjwWmsqcC7uLhERER07tzZ0okghBBClhQQEODr66tSqeRy+d69ew1OgyfZIYQQQi0QFniEEEKoBcICjxBCCLVAWOARQgihFggLPEIIIdQCYYFHCCGEWiAs8AghhFALhAUeIYQQMpfiIuB583wUFniEEELITITVvzI7t5rns7DAI4QQQuZAC/IgL5e2aWeej8MCjxBCCJmDkHgRxGIs8AghhFCLwl9NhDbtQCYzz8dhgUcIIYSaHC0toZnpJDzCbJ+IBR4hhBBqcsLli0AItAs32ydigUcIIYSanHDlEhPSltjZme0TscAjhBBCTYuWK4S7d5gOkeb8ULE5P8w4qrj894/bUjXEMWbaSwN9RZbOByGEEGoUwtXLQCnTIVIw44c2ny14mndkR37vNxcumup1ckeixtLpIIQQQo1EuHqJCQgkjk7m/NDmU+D5rEwhoLUcGK8g1+LMEmrpfBBCCKFGQNQq4VYy0zHKzJ9rtl30bPrps/xjMYFVl//R4gvrfvjj0I1SWUDMpFdn9PERA6UApOpVAes7QgihFoHeSCI8b+YD8GC2LXh1+v4/ftyXrKqq27Ti9KrvT3lO//qPlfM7pf2+8kAeBZGPrygzQwO0IL3Exc+FmCcxhBBCqEmRa1eJjy9xdTP351LaxBvLNO/QsvdXJeQo+MhXfn9vsBMBAE3CNzP+Cf7i41GeBCqPfzZrf9R3Hwx1Lk/8+5d9+YRKIp6ZOajqJLuysrLvv/9eO6dbt25VVFTYGb3GYPLkyT169DAxNZZlBUGQ3bupkCAIgiCIxWKDIaWU53kjIcdxEomkAaE2EyOhRqORSqUYGgxVKpVEIhGJqk7KNN6SLMuKxWJCSANCjuNEIpGRkGEYhmEaPeR5nhBiJAQA3eLXKxQEgVJqJDTSHR4mrNZ3OI7jeV7XDbErNZOwXl1JrVaLRCLdd4pdST+kGrXkq49pz758nwE8pZsKi8c4O0pM7juZmZlff/01x3EAoK3XurbSPVNcXLxt2zaooel30ROPgfNXDGQTvp6+W5dSUVYO49PHlQAAyHz8WuVn5Qrg4hA56Y3qezBYlr127Zr2sVKpvH37tvF/JLGxsV27djUxNe3XoG04AKCUNlYI9356agsFQTA9rNecH7UQAHie160VdTYsrzdQo7bSGAk5jtP1Je3aYjwUBKEpQkKI8VC3+NoHRkIt08Om6B3VQu2yYFdqbmG9ulK1CbAr6YdM8nXCspq2YRfKFK9nZCdWKj2DA3o7OuhPbKSzFBQUnD9/Xtee+m2lC93catk3QM1Dc/qrZ9/bVyJQSinlU/+eN/OXq5w2yNq6YPqKi2zd81i1atW5c+caMSmFQlFUVKQLWZatqKioLeQ4rry83EioUCh0Ic/zxsOysjJdKAiC8bC0tFQ/bQx1jwVByM/PVyqVumfKysq0vbq2UPtvQEuhUBgPOY7TheXl5cZDlr2/EldUVBgJKysrNRqNiaFSqVSr1UZClUqlC1UqlfFQv63UarXxsLKyUhdqNBojofG+Y7wrVVRUFBYW6r+KXak5hPXqSgUFBfrrA3alB8K1q4q++PDtlFTRkfi2p87tzctv3K7Ecdy8efOoIRa5Dp7IZFJNftUBeapUaqQyGR5zRwgh1MLw/O7Cote79M5Oz5zv7/tBoD/D89X2QTYdyxT4Vj5ewpnsEgpuBDS52cXuHTxNONvv9OnTn3zyCcuyAODr6xsXF6e/pwIhhBBqPnI0mgUXEtdERMdKJXsfi2hvawMA7IOHNhps7ty5O3bsoJQSQgIDAw1OY5k72Uk6xHT6eeP+lIGTgkriDlxrHfOcswmV2t3dvV+/fs7OzgDg7e2N1R0hhFAzRAH+ysl7I+UOr9F8mXr9pfHP2NnaNO5H9OvXTyaTcRwnFotv375tcBrLFHhiFz3jzfTlP7zxskrsHj1z7hAPU2p1cHDwk08+2blz5ybPDyGEEGqQpErlyyl3TikqnvF0/2z7326hYQLT+Jujo0ePHjlypEqlksvlCxYsMDiNuQq8JHre6mi9mNi3H7vw67Fm+nSEEEKoiSkF4aO76Z+nZfrJpPsiOwwqLWCLCkgH8w0AX00zGmymTklJSVu2bJHL5QDg6em5fPlyS2eEEEIIAQAcLSmblXzrllI1y8v9fZth7K4AACAASURBVD8fNzs7Lv4wsbODgCBogvvNLF++/OjRo9pbSqhUKoPTWFOB114/o1QqAcDe3t7S6SCEEEJQwLJvpaavyy/s7uhwrktUmFSivbxeSLrMdIgUGAYa6cQ6fWq1uri4WBAEkUikfw8ifdZU4CMjI5955hk8Bo8QQqg50J5MNz8lVUOF5W2DX/bxZghoNBoAoBlptKiQ6RDVROPDzp8/f968ec3jGDxCCCHUgtxUKl9KTjlcXDra1WVZa//gezen0+KvJoJMxrRpC5YbPA0LPEIIIVQPLKUrs3Pfz8h2Eos2dQgb5eSgu+WtjnD5EtM+AsQS0GgskiQ0p/Hg6xYXF9evXz9CCCEkJCTE0ukghBB65MSXlnVPTHonLfMFb4/r0Z3HursamCgvl+bnijo24fiwzz77rFgstre3l0gkCQkJBqexpi344ODgmTNnuru7A0BAQICl00EIIfQIKeG4hbfv/pyVE2FnG9cxLNa1VW1TkmtXQCJh2oU3XTIzZ87s0KGDdjTFS5cuGZzGmgq8v7//8OHD8SQ7hBBCZraruOT1O2mFLPe/QP83PT0kRm9dQ69dEYW2B73hdxtdnz59YmNj8SQ7hBBCqIHuqtSv3Li1u7hkaCuXFaHBQXK5dhi6Wt9QUkxyspje/c2Yo2FY4BFCCCEDeEq/y8xecifNliF/tg163tfHpLclXQaGEbXv2MTZ1c2aCvzt27dPnjypHWwmMDDwpZdesnRGCCGEWqZLFZWzr14/U1b+rKfHZwG+rcQiE99Ib98CvwCwtW3S9Hbv3h0XF6cdbCY9Pd3gNNZU4LOzs3ft2qW9k11gYOCsWbNwQDmEEEKNq5zn301N/yEnL9RGHtcporeTo1qtfmCKs6eAMNCzt+H3F+RBSGhTJ7l9+/aNGzdSShmGiYgwfLt7a7pMLjY2dseOHUVFRUVFRefPn8fqjhBCqHHtLCzqeObCT7n5i3y9L3bt1NvJsdoE3P5dsH0LOXXM8Ps5DoqLqKt7U+e5cuXK/Pz8jIyMvLy82s49t6YteIQQQqiJ5LLs4ttpq3Pzejs5/hvWNsxGLq02zCul3M5/+ONHwMsb8vNAEICpvpFMC/JBEMC9yQu8KaxpCx4hhBBqdAKFX3Lzoy5e3VVU9Fu7NnGdIsJs5DUmEritf/PxceInRsPjw4HnaWF+zVnR/FwAAHfPps+6brgFjxBC6NF1taJyVnJKfGnZRLdW34a28ZAaGplNEOCfjXziefGoMaKefbjcHACgOdmkRiGneTkglYFD9R37FmFNBV47XGxxcXG15x0dHUUiU89vRAghhABAJQgfp6Z9mpbpI5VuD2s72MVJZrC6Kyth7R+QclMy8Tnmsa4AAE7OIJPR3ByocXKbkJ8H7h7QZKeIlZaW6s7443lerVbLZDKO4wxObE0FPj4+ft68eQqFotrzI0eO3L59u0VSQgghZI3iyhSv3U5LVavf8Pd5r3UAwxoeEobmZrN//goVCpg8lYl4rOpZQsDdQ8jLqbllSfNyiZtHE40f98UXXyxatKjak4SQnj17Gpzemgp8aGjom2++6e3tXe356Ohoi+SDEELI6hSy3PyUO3/m5HV1sNvcMSrK3g4AVCoeAEAm059SuHyR3biWODnDzNng5vHAXNy9aHZG9VlTSvPzSJPd4uaZZ55xcnISi6sKtyAILMtKpdJjxwyf0m9NBd7b2zsiIgLvRY8QQqhhNuUXvHbzdjnPLw3wfcPX20Zb0QUBfv0BcrNZ/9YkMIQJCgEvbzhxlD16mGnfUTLhOXXNXe4enjTxPPA86B0gpqUloFGDW1OdQu/j4zN16lTbe7fQ4Xleey/6GzduGJzemgo8Qggh1DB3VOo5qWkHS8pGubX6oW2IGxWYe2WbP3KQZGdC7/5QkM8nxPNHDgAAECIaOFQ8aCgQAtVudANA3T0Iz9PCAuJx/zw7mqc9hd4Dmgcs8AghhFoyjtKv0rM+uJvmJBJt7hA2xt0VAFQqlfZVmpvNHdoLPXrBoGESmQwopbk5mpvXwdVNHG74DnEAAB5e2vc+UODzc4FhoOnvcmMiLPAIIYRarDOK8pk3biWWV7zg6f5Ra393W5sHXhYEdtM64ugkDBhctTlPCPHyBpdax3qv4uhU80R6mpdLWrmBSASC0LhL0TBY4BFCCLVAlbzwWWbGV5nZwXL5wcc6xshlTI0bz/FHD9OMNMnM2RqpzOBMakUI8fCqdiI9zcslHp5NdAp9A1hTgVcqlVlZWdrR5BwdHd3c3CydEUIIoeZod2Hxy8m3clluSWv/dwL8pAzR7ZO/ryCfO7hHFNObCW4DNV+tC+PpLWTc1X+G5ucyXaLNU+AVCkVOTo5arZbL5dXHwrnHmgp8QkLCW2+9pb0O3tnZuaioCMebQQghpC9Xw869dfvvvIJejva7OoR1dHQwPB2lsG0jsXcQDx3ZsA8inl70wpn7e+OVSqooI+Y6w27ChAl79uyBFnMdfGRkZExMTFBQEAB4enpidUcIIaRvS2HR7JS7LBW+aRM0o5WLVGK4xtGSYjhykKalSma8Wu3ad9MRTy/geVqQD84uACDk5wJAzZvXNpGVK1dev35do9FIpdKNGzcanMaaCryLiwteB48QQqimFKXqxes3/ytVjHF3Xd422FsqVVZUgLISOAnI5MAwQClkZXA3bwhJl2lWBmEYiO3LtGn4wO3E0xsAaG62tsBrr5FjPMxU4AMCAnx9fbXXwe/du9fgNNZU4BFCCKFqOEq/ych6LzXNRSTa0j70aU93ABCSrzFb/hZKinVHpwkABeClMiY0TNSrHxvUhrG3f5jPJbo70rcLBwCan0scHMHGFjSG73prfljgEUIIWavLFZUvpaSeVZQ/6+nxqZ+3u1wGykpux1b+XAK0DiKDhonuHSNnWZZxaSVtFwZiCQCw9T+rrjpCGE8vITdbG9G8XLPtnzcRFniEEELWRykI/0vP+jY7t42N/GiniF5Ojkqlkl6/qtmxhVYqxcNGaaJ7iiUSkaRqgDhWpQKG0Vb3xkI87p9IT/NyH2aHf1PAAo8QQsjKHC0pezH51h2l6i0/nyVBAVKlkj9zirl4lt5KZkLbS56eQFxagVLZ1GloT6QnPA+CQIsKiHuvpv7EesECjxBCyGpU8sLHaXe/SMuIsLc7Eujb9W4KObhDk5oClFJvX2bMJEl0jNmSIZ7ewPNQVAg8D4JAzHWGnYmsqcALgqBWq5WN96eM4zhKqW6GgiDwPF9bSCnlOE7/VSNhtYkppdVmpR8CgJFXjU/8iIeUUgDQaDTaB7pXdZdQakdb0n+vSqWq9qou5DiuZqi79VXNUK1W608MACzL6kJKqS5kWbZayPO89i11hhzHEUJ4njcYsixLCBHuHWXUvstISCnVbyvjoaB3u03jYc3uYHpXqtkNsSs1n9DErgR6Kz/UvytVC6H2rrSroOiNjOxCjlsqZeZciJekJFNCaOsgOmQEDevA2toxDMPfWwpzdCUnZwaAy8qgAGIAtYMTKJXm70pCLXfGtaYCDwAikUg3FO7DY1lWEATdDLXfSm2htmX1Q/33VntV2+76r1YLCSH6E1cLWZbVDzUajf5SMwyDofaxtgvprxXattL9smg0GpFIVC3U/ZSwLFst1H+vNtT/3akW6r9XG4ruDRzJ87x+aPBV/TXNSFhtbREEQb8Faq5LAGAk1F+ltW+v7dVq79WqLdT+SDWsK/E8X20BsStZJNRvOqhnV6o2t/p2pZo9q2ZXKua4+bfvrs4v7MWp956Pb1OYDz5+/NCRJKKT2NGxamK12txdqZWrIJczBfmUEJBKxa5uQIj5u1Jtd4WxpgJ/8uTJxYsXa/+8eHl5Xb169SHvdaPdApPcOwVD+/ettlD7T9BIyLKsLtSuOvphtVc1Go0upJSq1Wojof6stIlhqH2sK/C6Z7RtpVsxDIa6nxJtO+uH+j802lD3Q6P9vTMeVvuBqy3U/qLpcjYe8jyvvwLUDPUbRPtH3khIKdVvvWqNqb/Ca7d39Vtef1bVQuN9x3hX0m6cYVeyeFitcerVleDBbtiYXUmtFufl7LmT+jILxQzz4c0rb+Zmijt1EXXrQbx8lEqlxbsS6+EpFOQRkYi4e0qkUjBXV5oyZcqOHTu0a3VEhOFR76ypwAcEBEyaNMnd3R0A/Pz88E52CCHUgtGiwrJVPy129//NP7g3q/hFQvz79BGHhIqlUkundh/x9Ia0VCoSMx5e5vzcadOmhYWFaf8rX7p0yeA01lTg/f39hw8fjneyQwihFo/mZG/ctnV2ZIxGKv0lOOgFPx8CUFlZCTVGhLMs4uEF588QkZjpGGnOz+3Xr1/v3r21d7JbsGCBwWmsqcAjhBB6FBTcTX3t9JkNYY89bmf7c3i7QDtbS2dUK+0d6YHnm9tdbgALPEIIoWZl99Wkl3Pyyt08V7b2e9bTXdacdsjXpL0jPWg35ZuZ5rWvAyGE0COrhONePH/xyWJFOM9d7tZpVlDr5n+mFXFyBrkcGIa4uVk6l+pwCx4hhJDlHczJnX71RjHQ5YqiV0eOIvfOq2/uCCHuHrSisnFvgtsosMAjhBCyJKUgLL1w6UtFZdfy0p3OduFPjLCa6q4V2RkqKyydhAFY4BFCCFnM2ZKymck371LyYX7mggED1LZ2YHWXQPfoRWu5l5xlYYFHCCFkARylH509/2G5Mry8/LSTbdT4CUCIuqI5bgpbKSzwCCGEzC0lO+e5xMunpTavF+Z82LOnrY+PpTNqgbDAI4QQMiOe3xR/7GUNyIh4h624b7ehMhsbS+fUMmGBRwghZCbFWZkvnkrY0spjLFX9HNvdxc6+AvfJNxks8AghhMwh/vzZZ/KKi5xcf/dwnRYeZul0Wj5rKvDJycn79++3t7cHAF9f3yVLllg6I4QQQnWjgvD14UNvi2wiGGZ7h7Yd3D0snZHVW7t2bVxcnHZI3IKCAoPTWFOBVygUN27c0D7OysrSDnZp2ZQQQggZl1dW9tLFSwdtHF6l7LKB/VmV0tIZtQRXr149d+6cdrhYV1dXg9NYU4Hv0qXL1KlTcTQ5hBCyFvsSE5/NLSQS2U4P5+EdOgIAa+mUWoaPP/546dKlxkeTw3vRI4QQany8Wv3u3r3DC8s6aFTnIsO11R2ZkzVtwSOEELIKeXfvPHc56ZCDy2uE/79ePR3s7S2d0aMICzxCCKHGIwjHjh2dxsgEW4c9AT5DQoLLy8stndMjCnfRI4QQahxCUeHHmzaOlDu2kYgu9Ow+JCTY0hk90nALHiGEUCMoTbww/catrZ7+02XiFdExMusaEa4lwgKPEELooRCN5uaRgxNljuluXutDAke4OEnwGuZmAHfRI4QQajhaWLB7x7+xzl6Cg+Pp6C4T/X0tnRGqglvwCCGEGohPu7swLu7L0I4jbW1Xd45yFONu+WYECzxCCKGGKL1x7bnLV3f6h8xxdvwotI0dVvdmBgs8Qgihert55vRTBSXprTy3tAvpI5UweMy9+cFj8AghhOrn8PG4HmVqtY3tqW6dnvL2snQ6yDAs8AghhOrhm4MHx8idu4iZM71jOzjgLeqaLyzwCCGETMJTOjvu6DyxzRRes6tPbCsJHuRt1vDrQQghVDcFz086cWqfwHysKX+tZ0+80r35wwKPEEKoDqlqzYQLl9NZfou67MnhIxUKhaUzQnXDAo8QQsiYk2WKkVeu2ysr4lVlkaPHWDodZKpmdgyeS9v249a7gqXTQAghBAAAmzMyB567FFxaFK/Ijxw9BnDPvPVoRgWeFp/f8M33u26peGrpVBBCCFH6dXz8hJt3BhXm7naw8Rk7Cau7dWlGu+iJS+cJ8+zVn5+zdCIIIfTIy8l661Lil24+LyjLfhw8SEUYrO5Wx+IFnk87smZvMh88aMqgYLzNIUIIWV75yWPPpeXs8PD+0sn+zX6xAKDCs+qsUFMXeDb99Fn+sZhAmTakxRfW/fDHoRulsoCYSa/O6OMjFgX0mzKzXxNngRBCyBQcl79jy1NUds7D++/2oeO8PCydEGq4pi3w6vT9f/x4pse3PQJlBABoxelV35/ynP31O+0Kti1duvJA2AfDPIzv9BEEoby8XPtYpVKVlZUVFRXVNjEhxNnZub5JUkr1HzTzsFrOj3ioaxz9Cep8b7WJW1LYTNbSh1mlsStZMBTKFRkb1ozyCEhxcN4QGjzCw814z7L4Ct90YTPpHdoHCoWCZVkA4DiO4ziVSqV9led5jUYjlUo5jgNDSLXvrNHQvEPL3l+VkKPgI1/5/b3BTgQANAnfzPgn+IuPR3kSqDz+2az9Ud99MNTFaIXPyckZMWKE9rGbm9uJEyeMX3/57rvvzp07t/EWAyGEHgmivJzsPTtGhncpt7XfENK6o1xm6YwQAEB8fPzo0aONTEAIiYmJiY+Pr/lSfbbg2VO/f1c66LUhATIAAKpI2vjFfz7/e7W3xOBnegycv2Igm/D19N33nqJFWTmMTx9XAgAg8/FrlZ+VK4CL0SPvjo6OixYt0j4+ceJEt27dvLxqHdiAYZghQ4bY25t6b2S1Ws3zvK2trTYUBIHjOKlUWlvIsqxMJjMlpJRqNBojoVqtlsvlDQgBQKVSYah9TCmtqKiQyWQSiUT3qkwmI/fOBjIeqtVqqVRqJJRIJAzDNCDUaDRisbi2kGVZhmFEIpGJISFELBabEmr/yBsJKaW6tqpXyPO8IAi1hXX2HSNdSaPRsCxrZ2dn8FXsSmYKU26e2/Xv6M69HGxtD4e3C5HL6tWVKioqpFKpbn3ArtSIXalHjx6//vqrdqudUioIgm6JKKU8z4tEopMnT4Ih9SnwosBg7vXx/VdP+GTJgNzf3v4ozuuFr76oxwyoWq2R2ci13zmxsZVpytR17T6wtbV9+umntY8VCkVERETnzp3rkbNRHMcJgqBbxbVfYW0hz/OUUiOh/qwEQeB53kjIcZz+747xkGVZ/W6p0Wgw1D7WFniJRKJ7RttWul+WmqFMJtP9OnAcV2eo60s8zxsPpVKprv8LgmAkpJSKxWJdlzYeAgDDMLoOXzMkhOgKnlqtBgAjof5Kq9Fo9FfamqH+SsuyrP5qWS003neMd6Vq3QG7kvlDISV57/4947v2DXd02BXVwV0igXp2pYqKCrFYrP+NY1dqrK7k4ODwwgsv6EKNRqPbKOV5Xvsv7fbt22BIfQo849Xv7b93dprTd1j7BbLYDw8dfqezbT3eDkQmk2ryVdqaTpVKjVQmq89lF/n5+UeOHElJSQEAHx+f2NjY+nw6Qgih6oTU25t27ZryWM8eDnY7O0XYi/BqJutw48aNixcvsiwrkUhqOzWtPgVeSNu5cObi476vHkodUvrXW7MGPf/sl8vm9HQ3tUiTVj5ewpnsEgpuBDS52cXuHTzrc6OdpKSkzZs3a4/Bt2rVqqCggOB1mQgh1FBC6u2/du18MaLb0FYuv7b2xepuRebPn79z504AIIT07NnT4DT1KbB8niJ48d64316J8Q8Z+u6WuD+fLku8YfjcPcMkHWI65R7en6KifE7cgWutYzo716dAx8bG7tixo6ioqKioKCMjA6s7Qgg1GMlI+37f3hfCO4/3cNsaGW7DNKMbm6I6bdmyJT8/PyMjIy8vr7Yj10a34IW8K0cv5/L3n/BoA1fjDl29FzoOGNCxPrsAiF30jDfTl//wxssqsXv0zLlD6rhGrnquYrGDg4OLi0t93oQQQqg6mp31xalTS9tFveLlsbxdW4aA0tIpoXqRSqUuLi7aY/C6kxKqMVqfuYt/zHvhl8QMhQCEEYsIz/GUiKQ2NlLtPz1R0Oy95z7uYfAsei1J9LzV0XoxsW8/duHXY+u9KAAAoFQqs7KytFe6Ozo6urm5NWw+CCH0KKPligX//bcsuP0iX6+P2oZYOh3UEAqFIicnR3thiPYcwJqM7pOR9p820V/SZtyyfdcLKtWaysLkA1+PD2s94sfLJQqFQqEoSTRa3RtbQkLC5MmTQ0JCQkJC2rZt21RX8COEUMtFeX7ugYPLfAIXOTtgdbdeEyZMCA0NjYiICA0NvXTpksFpjG7Bs2f//D396W8PvDFYe4mqS9tBc3//6lr7OSvOTvy8u9lvYx8ZGRkTExMUFAQAnp6eeAweIYTqRaAw48DBVc7uXznbvxAcaOl0UMOtXLny+vXr2jvZbdy40eA0xo/BF+QWyD0cpfrPSZ2cbfKzcnkLjFPj4uLSuNfBI4TQo4OndFpc3GqZ3TdSZs5jUWVlZZbOCDVcQECAr6+v9hj83r17DU5jdBe9JCqmU+7aT1ZeLBW0TwiliT9/sia9fadwi49ChxBCyGQagU67krSWin7XKObEGr6qCrUwRgs1EzDt28/3DX+9W/Dybt3au0P+tTNnbpOY93e+2MYSV0tmZ2enpqaePXsWADw9PZ988kkLJIEQQtZGLQhjTp7er+bWFGRMHDvB0umgRnDq1CntjW6kUmleXp7BaerYEpd3eGlrYv8Dm7ccvnC3iAuOGvbGqIlPdvU045l1epKTk3U3uvH39x81ahQehkcIIeMqVerRx47HiaV/FWRMHD0G8Hr3FuHrr7/WHno3cqObune1M07thrywaEgj59YQffv2fe211/AYPEIImagiL3dkwtkTto4bCDdgyHCQSut+D7IGGzZsWLdunfYY/IIFCwxOg8fSEUKoZVJdvTQ+p+iMk8t2f6/BbdviWXWPGizwCCHUAhWeSxiRV3LdqdWejmF9PNwtnQ6yACzwCCHU0uSnpAzJyk9xcNrXJSrGydHS6SDLMHq2BXv843EfH2cfeI4W7Fj43LdNmlNt4uPjR44c2apVq1atWoWHh+Od7BBCqKbcvLyB12/esXXYFhqM1b2lmjJliru7u5+fn4eHx/nz5w1OY3gLnpae3/DHf5nqxI27Lt34SnZabyouY+/qPb6fNEW+dQkICJg0aZK7uzsA+Pn54Sn0CCFUTa6ifOC5i1ky+f6OYe1s5JZOBzWVadOmhYWFcRwnkUjqd6taWnnr2PZtiZrCTDZfs2Pbbb1KShh534WzmiLdOvn7+w8fPhzPokcIIYMy1epRF66UisVH2gRFenrgWXUtWL9+/Xr37t2Qs+gZ7/E/HB4PmkMLhx4ctPeTgXhhBUIINW+pStXwxCQN5Y/4eoUHtrZ0OsjyDBf4u5cTlW5twry6vvStW8m1Ghv/jHNUBK49CCHUXNwoLBp0IZFhNf852YR26GjpdFCzYLjAL4jufOG140kfZiyIHrdJVeNl+TiqNDx2DUIIITO7euP642lZMo7f6WwXGhNr6XRQc2G4wK8rrRQYiUQcva5UtbrmuerEEneiB7h9+/bJkyednZ2rPd+3b99hw4ZZJCWEELIkQThzcN8wQepGhYOdIx1tbCydEGpCV69eXbNmjUhUVYIppRzHicXi9PR0g9MbLvDiqtsZErFURgov7dp68HKe/+i3nrBPznZq18bZQhfPZ2dn79q1S6lUVnu+sLAQCzxC6JGjUl7eunGUf9sAMbM/tqe7TIZn1bVsJ0+e/O233/SfoZQyDBMREWFw+jpqteb6T+MGvX6IdRaX92k3r2varI7vlz3367YV44MtMN5MbGzsSy+9hGfRI4QQcNy+TRvGtm7X0Ua+J7qLsxjvWtbyzZgx4/nnn7e1tdWGPM8bP4ve6I1uaO76txcm9l99LeXH4bYERMFzd55YGrBr1utrGj1vhBBCpqJ0y/atT/qGdJZJ93fvitUdGWT8TnYXjp32GPfaU/73NtcZ586vvjfF+1ScGTJDCCFk0F9790x08RkkFW/s2N5BZJmTolDzZ3xgYJFIpFYqBf2n+IpypVTWpDkhhBCqzfIjR6bJHccx9J/YHjY4uDuqndGVQ9Lticc1Gz78JqGIBwCgQtm1jW++8Rc7ZKR5kkMIIaTvs0uX54DkJU61pk9vCd6uGxll9MgNcR75+arpoyfHti5jeOnBEDdFjtJz8P/Wf/mEudJDCCEEAMBT+tqJUyt5eFdR9OGIEYDFHdWljlMziMfjnx5PmXX21LmkuyUit5AuvXqFu9OcLAAf8+SnLzk5ef/+/fb29gDg6+u7ZMkS8+eAEELmp+b5Z+OObSHiT0rz3xk5CnDb/ZG3du3auLg4nudFIlFBQYHBaYwWeDb+rzVOY6d1DIoeHBQNAACajMNfTprzBb2S+3fj51sXhUJx48YN7eOsrCxKKQ4ohxBq8YpVqlFH48+IpWvYihH9BwCeVYcArl69eu7cOe118K6urganMVrgqeLoonHrS3dtmtvJHjQZh79bMGfppnT/cf9b0ST51qVLly5Tp07F6+ARQo+O7LKycVevp4vEe+1l/aJ7461skNbHH3+8dOnShowmV0U6ZNm22U+NGjoy773Bd1Z8uik9YPz/9u+dM8APR5dDCKEmdy4zc1TSDQIQ19onsm2opdNBVsb4MXji1H3h9r0244bPWUwHvL9v79sDsbYjhJA5bLmTOuVOWjDH7eoc6e/lbel0kPUxXOAry0pZ3RgzwdN+36x+buy38Rczirs6yAGASJwcbc2VIUIIPXK+Sb71ZmbOoLKSPx6L9MHqjhrEcIGf6ulsYJTY+TFe8wEAh4tFCKGmohaEqYlX/iwqfTU37ZvHB1dKcLcpaiDDBf6bxOtLBYOvAAAA49BE2SCE0KMsR6N56vqt80rlT7evvfjUGNLKFfCsOtRQhgu8T9t2usdUU5qTU6qhesPCE/xHiRBCjexoSdnExKusWrXrZuLAyc8TZxdLZ4SsG6H6lbs6IW3jC0On/3W9QnhgIgvtov/tt99CQ0MjIyMba4Y8z1NKxfcGYqKUaq8pNBhqpxfduwKVUioIQm1hnRPzPC/WGwBKf+Ka7zV94kcwZFlWJBLpvibjE3McJxKJdLdP4HmeYRj9sNp7q71q+sSCIBBCantvtVfrDAFAB6G58QAAIABJREFUt4DGX6220tZ8b2NNXDOstoab3pUEQRAEQb8bPoJdiRGJfr6VsrisMrKseE12qs8TT1JHJzOnwXGc6Y1TrStxHMcwjJFuaLwrGQmxK9XZlQDggw8++Pbbb6EGo2fRc+dWLNkoem7dubf7+Njo3bWeyI29q8nk5+dnZGRcu3YNALy8vEaNGvWQMywvL2dZ1smpqiNxHKfRaHRD7VYLtSPv2tnZ1RYqlUrtXfYAQBCEyspKI2FFRYWDQ9WRDkppeXm5kVChUDg6OurSLisrw1D7mFJaWFhoY2Mjl1etkwqFwt7eXtdpa4Z2dna67lFeXm5ra2sktLGx0fW0iooKuVxuJJTJZLrfx8rKSqlUWluoVCrFYrFEIjElVKlUDMNIpdLaQkKITFY1/pNarQYAIyGlVNdWGo1GEAQjIc/zNjY22pBlWY7jaguN9x3jXamyslKlUum64SPYlbLT7s65fnOz1GZGftZ3wYFsvz6O91rDglnVqysVFhbK5XLd+oBdyQxd6fTp0xcuXGBZViqVFhYWgiFGCzyfnVX42NT54zoFNosBi5KTkzdv3qxQKADAz89v5MiReCc7hJBVO33h/DPZ+Xky+XqxMHHMGBCJWDzojkywbNmyTZs2AQAhpGfPnganMT6aXGSPTgWXrxQb2YlvTn379j1y5Ih2H0V6ejpWd4SQ9eIpXXrqdO/iChuxOKFz1MRevfEetMh0Gzdu5DhOux86Ojra4DSGt+BvnIwvEAAA2k8e8MucodOTZj/VLdDV5t7Kx7jFxrQz+EaEEEJ1SlWpnz97/jjLv6osXdIjxt3F2dIZoRbIcIF/f3C/zXrXwV9Z8sIa/ZflY1nF+iZNCyGEWqq/CooWpWU6qyr3VRQ9/tS4svJyS2eEWibDBX69gsUCjhBCjeuWUvVKcsqB4pKJ2WnLpcTt6Qk48CtqOnWdPae8vmHB6N4zNxRQAPbk/3p3Gfn25ptKs6SGEEIthUagH93NiEw4f7WgYMOF46vlIqzuqKkZL/AVcQtHTd+s6TUkyp4AiNuPmzNKtGXq0PkHzZQdQghZv1PlFZ3PnF9yO3Vy+u1LCf8N79xNPHocVnfU1IxeJqc5vWFL5aSfN30yzA4AgDhHjntvnUtO+6mb4YdB5skPIYSsV7pavTAldV1eQVR56dGk890jo8TjFpap1VjdkRkYLfBUqVQ7eLnJ9J+TtnJ1VGc0bVIIIWTlynn+07SMr+5m2HLssptXXnJykL/4CnFpBQCgVls6O/RIMLqLXtp1YGz+mo9/vayouhJeKLuy6tPVmT36miM1hBCyQjylfxUUhZ5I+CI1bWbqjaTUpBf7D7CZPKWquiNkLka34InnxK9XHBkxo7PfR2HtQ9xEpXeuXslzG/vjnmfNlR5CCFkJjZoWFvybnftuWWUSkCdzMj8pym434HEmLLwMb06HLMFogQcQB47/9Vyfl/duP3ThbglvN2b28pGjerW2NU9uCCFkBfhzCbK92w+JZIvDIk85u/UoLTqQm96/SzdRZzyTDlmS4QJ/93Ki0q1NmBd790pqiQDiwO5DArtrXyq5eamEcY6KaG3GJBFCqFnSaLhtGy8lJy/uHLvX1rGDRPyPn/fogJ5lCoVIb+AWhCzCcIFfEN35wmvHkz7MWBA9bpOqxssWGi6W4ziFQlFcXAwAtra2uoF9EELI/Gh+buqGde+7eKztNcRbKvkjOPA5T3cRbrIjs+B5vri4WK1Wy2QyjuMMTmO4wK8rrRQYiUQcva5UtbrmUDPEMiMixMfHz5s3TzuanIeHR25urkXSQAgh5cWzX9y6vSy8q1ws/ijQf5qjvYcz3k8emc+YMWP+/fdfMDqanOECn3rpQqFQ+4wZ1+7d2jRCgvUUGhr65ptvent7A0BgYKD5E0AIPeoqK9XnE35MvbvU078yKOw1X+9Fwa1dxGI8jQ6Z2QcffDB06FDtePDHjh0zOI3hAr+oTw8De+Z1LLSL3tvbOyIionPnzub/aITQI46k3eGuJO7Jzn6rbcQNvzYTJKLPunQKkOOBQmQZUVFRHTt2VKlUcrn8xo0bBqcxXOD/ruDWGxkEHg8yIYQeGbSkmPtn4920tPc7dtnSKbabrc2xdm0iCDhidUfNm+ECzzD3j7JTVWFGVqmG6hV8xj4kyLOpM0MIIQujlD9xrOTgng/bdPih73AvmWxtcOtJnu4EAPfJo+bP+HXwQtqmGUOmrbpe8eDmvIV20SOEkNmQokJ2/Z9bK5Tzew3Nl0jf8HRb0ibEVlTXCJwINRtGCzx37sclG6VTNlxc2M/PRm+1JrhjCiHUkglJlzO3bJgX2W2vk1s/Z6f9oSG+HIvVHVkX46PJ3bmVHfX8G2Oi/HC1Rgg9KticrM9PnvwodoizXLa+TfBEDzcAKCtjLZ0XQvVjtMCLffzd0y9dLqYhrnhaHULoUXCxsHD6+cRLweEzXF2+CA9zFFvmth8IPTyjBV4S+cKigeNnD5l+bfboLq2dZfeqPOPet3e4GZJDCCGzYSn97G76kjt3/QhzINC3q6srVndk1Yzvoj/w4Zw1ySpIXjJjjf7z8rGsYn3T5oUQQmZ0olQx7drN2yr1GynX3+vZwzYoCM+TR9bOaIGXjVmvYLGSI4RaHlpaKo4/wnv5qNw8FivZ77JzIwg9Hn+ga2xvUfuOls4OoUZg0mhy1eFocgghq8Zq2D9/FmVnHnNqNSsi+o6N3Rs5aUuSLsrDO4j6DrR0cgg1DmsaTQ4hhBoBpeymdeUF+YueevaXSnUXqeQsw4U72WkioiRPj8c7daIWw5pGk0MIoYfH/3cgPi1txqAnM1Xsx8Gt3/T3FRMCAJVlZSCRWjo7hBqN4QvcxVKpVEwAGLFUJi6/vu+v77/88t9bDJdzK10pksmkxu9/hxBCzZT6RtL7d1IH9RhoZ2t3qF3I2wF+YtxkRy1UHaVac/2ncYNeP8Q6i8v7tJvXNW1Wx/fLnvt124rxwRLz5IcQQo3lWk72S8mpV4LD5/v7/l9Qa1W5wtIZIdSEjN6ijuauf3thYv/V11J+HG5LQBQ8d+eJpQG7Zr2+xti7EEKomeEo/ejWnT6ZeSqx+ERk+09DAqUMbrijFs5ogWcvHDvtMe61p/zvba4zzp1ffW+K96k4M2SGEEKN4nqlMvbshfcysmZlpp7rGtXN1dXSGSFkDsZ30YtEIrVS+cB1cnxFuVLaJIPNCHnHfvo5rlwiaNyHvTKtmwv+vUYIPRwK8HNWzhu37rgpK/YmJ8YMG2HrjkNdo0eF0S14SbcnHtds+PCbhCIeAIAKZdc2vvnGX+yQkU2QCZ966BAzYsGCt996vGJfXE7Nq+8RQqgebitVTyTffik5ZVL2/7N334FNVd8DwM97L7s73ZtONi2rbCh7bxAQEEEEFwgoKjj5oYCA+4sILhQVRUA2CCIb2tLBLLTQQunebdLMN+7vj5RaIE0ptE3H+fxDTnLzchLyenLfu+/eu3GXowZOnSG4eVg7KYTqj8UePOU4eu2WOeOe7uWvonnJP0Eu6hyd+5B3t60fWQeZMP4T3pwtkRJt8s0i+0Bb7L8jhB6TQOCrzKy3b991ALL3avQQg0487xWwdwA1jqpDzUg1o+gpt8FrzqTMj42KS0wrYVyCOvfu3ca1VgfQ83dP/HI4mQ8cNGtQoKjwwm8/HS5sM21Odzss8Aihx3GzsPD55NSTBuMkg+7L8/86uziLX1xEKWwIeXhOD4SasuqvaCcckXm06ureEgAAtFlpaUDZ+Pu5PNr22fToWD68R4vys/akOOG3DT8eSyqV+vWY9vLcvl4ixi9y1rxIACDq2O+/u9Jl/vJOzjiPDkKo5owXYz+7eGW1f7CHXn/oWuwABvhWrSUTnoK6GTaEUANHWfxVK9zd/tywOT/f0Aj3NXrkqWoN6Qc+fvdC9y/eH+JAAQDRRH2+8FfbBR/Oblmwe+XKy33Wrhjudq+rrj+37qVfSwI8ZAC0R+S8uX1cKQBQq9Vbtmwxtbh27RrHcQ4ODlW9HE3TkydPbtu27aPkBgBGo1EQBJlMVv5uBYHnebFYbDYkhHAcZyFkWVYikTxGaMrEQmgwGKRSKYYPh4QQvV4vFotFovKfqpY/SaPRKBaLqXsTm9QoZFlWJBJZCBmGoWn6UUKO42iafvSQoiiGYR4l5HkeACyEhJCKz6pGoSAIgiBYCC3sO5Z3JY7jOI6r2A0fe1e6eOPGy1k5V2wdXhBTH3i4K9zcgGFwV3rssEa7kl6vF4lElXdD3JVqa1fKz8//7rvvDAYDABBCCCEV78gUUhR19+7dHTt2wEMsFnjuwlvtIg/0/+HnN/t6ySsNx6Nk7m5VVtlyJO/YJx9siclR8x1e+qG8wBtjPp/7V+C6VWPcKdCe+Xj+kbAvVwyzPFo+Ly9v6tSppttyuTwhIUGn01XVmKKot99++9lnn60mt4ocCTE9q/I9GDa6ECr9JzacrKwSVquB5Fm7oZ7A2tQ7G7X6YKP+09CQCHvbhpAVho06rFa9ZRIXFzdjxgyWZavKhKKodu3anTp1ynyWVdLvmenSc/0t3lIby4zRn854/+8SgRBCiJD915uzvoxjCSGEcCm/LHzh++tcDTa2ZcuWuLi4x0/mIWq1uqioqCJkWVaj0VQVchxXVlZmIVSr1RUhz/OWQ5VKVREKgmA5LC0trZw2hhW3TT9vdTpdxT0qlUoQBAuh6de0iVqtthxy3H9f0LKyMsshy7IVoUajsRBqtVqj0fiIoU6nMxgMFkK9Xl8R6vV6y2Hlz8pgMFgOtVptRWg0Gi2Elvcdy7uSRqMpLCys/GiNdqVDmdktz8WI/z31+vbtOq0Gd6XaCmu0KxUUFFT+PuCuVJ+7EsdxixcvJuZYvkyuQ/eOBVeuFtfS0BRiMBilcpnplwklV0iNBgOOekEIPZYClp2ddGtEcopTQV7M1Zi1w4dJZXJrJ4VQA2J+kF3S+bMFAgBA66cHfLtw2JzEBeO7tnCW3xv8Rrv06tGy5q9FSaUSY77eVNOJTmeUSKU1GSwfFxf31VdfmW4HBAT8+eefNc8BIdSIkaJCJiGWk0q3MrI3ODAC+ST91otpt6QvLaJs7QiOk0fNxsqVK3fv3k0IoWnauYrJGc0X+A+GRO6otAz81feeu2/2edkkVr2t5vlQSi8P4UJ2CQEXCoy52cWubd0tHkF4gFwu9/LyMg3G8ff3r3kCCKFGTEi5yf3y/R2RZEHL8GMu7iPysr5MjPMmgnT+q5QSZ59FzYunp2dgYCDP8yKRSK/Xm21jvsBvU7OPUcCrJW7bo+Pm7UdSBk4LKDl59Lp/j5mONenBt2nTZsqUKZ06daqD1BBCDRoffVa3b9enYd1Xu3m7SiR7QgLH2HYWRg7XGo0yJ6W1s0Oovs2dO3f27Nl6vV4mky1dutRsm+p60Lobfywd12feHwUEgD3/bp/Oo9/ccbPKYezVoGwi5r7WI23DkhdfWXXWd96rQ91qUt8RQs2SIHCH9l7450jvfiNXuHrNdnNOjOg4xkUJMhnIFUSES1cjZJ7liW40J5eNmbMneOH6MFsKQNR68sIxV5Y9O6zMMWXDoEfavDhi8daISjFl23rSss8mPV6uycnJR44csbW1BQBvb+/33nvv8baDEGo09Druj60raPHa3oP9ZPKjIYERErEtg5Nhoebu119/PXnyJM/zDMMUFBSYbWOxwBuj/9ipnbb5z9XDbQAAKMcOk9//zSmn9bM74BELfK1Sq9VJSUmm21lZWaSGly0ihBoXUlJ8avtv832Cbyts3/DzedffVwyg1WqtnRdC1nft2jXTdeM1HmRXjuh0BjsPl/tmeZQone0NGbWY5aPr3Lnzs88+i+fgEWoOtNlZbx8/8WVIWAepJKZD23BbGwAQBFxnEiEAgFWrVq1cufIJzsFLugzslf/Lqu+uqMsvPhFUV7es2ZrZvV+t54oQQhXOJ17rlHDlf55+r7u7HGvX2lTdEUI1Ynm5WPepn319YtTcTj4ftWod5MKU3r52Nc9l0sZDM+orPYRQ82IQhPfjL37BQ1uGuRDWpoOjIx6TR+jxVLOanKjFU9/F9X3x8N5jCWklvM3EBV+NHtPbX1E/uT0oOjp69erVpil5vb29T548iefgEWpK4goKn7l0JZkWvaUpeW/oMIlYhMfkETJr0aJF+/btM41Fa9Gihdk21S4Xq7ubEGfsOPeNsVzq7o9W/PK/q3dUy5aM8JdU97w64OrqGhkZ6ejoCACenp5Y3RFqMlhBWBkds0bPhuh1J6V0z5EjAXdwhKoWGRkplUo5jhOJRKmpqWbbWC7w3LXPhvd5I3HC3oxu3Oa5z2woHjjY8Zspo8uOX/6wS11kbFlgYODYsWNxkB1CTUxyXu7LF+IvSmQvlRWv6daNKGywuiNk2bhx40aPHv0Eg+zY2J++udZ7c/ym4aKMAzsutHp9245t+7+ZWrztF0vPQgihR8MRsj4mJjKrQE3ISaXdV6PHyJxdrJ0UQk2ExR68kJtV4N2pswdDSs8cv9xi6GfBDFDevi4lN+srPYRQk3Vdq5t1ITaOiF7Qq9cNGKCQSat/DkLokVks8KKglv5p//5zs1h25Md/HQcubisCLuXEydvu3eorvftkZ2ffuXMnNjYWADw8PMaMGWOVNBBCT0ggsDkrZ/HNW24a3UFB37Vnb6zuCNVIdHR0QkICy7ISiSQvL89sG4sFnmk77/1Jv0xr77KU2PZa90V3+uKavgPeu95x3f/qJN/qJCcn79ixQ61WA4CPj8/o0aNxnB1CjU6SVjcn6VZMmWb+3ZQ1SnvxgKFVrYWFEKrKJ598YloznaKonj17mm1jebEZyn3s5rgbUcf+ib56eEkbMe3c7YWv/o47+GrrOsi2ev369Ttx4gQhhBCSnp6O1R2hxoUj5OO7GZ0TruSo1Ydjjn/l7OAwary1k0KoUdq+fTvHcWVlZSzLRkREmG1jsQevOfHhnANtP/94fH/T7wDat/8z02s/T4RQ03dVXTbnamKsgX2utGB1zEnHPv1Fw0ZbOymEmjKLPXiZpyzzzx3nS0l9ZYMQanqMSdc/O3Swc2xCQUnJ4fjTG/LSFcNGY3VHqK5Z7MHTPtNWvRa7bPLLd54b1dHHQXLv1wDt0qtHy3pIDiHUuOl1Fw7tf05kk+jsuYg3rggNsBk8gKcoFk+6I1T3LC8Xe2jx0IV/6gHOHdtY+X7ZZKLbXrd5IYQaOX3SjZUXLqzzahFCw/E2oX3cXMsf4Hmr5oVQc2GxwEsnbdc1oMPzZ8+eXb58uU6ne+D+UaNG/fzzz1ZJCSFkhl5/7e+D88U2V7wDXnNzeTckkOI4a+eEUKO3cePG9957r/IAc9N68O3btzfbvtq56IEYS3NySo2kUqWnbPz9rDDblJ+f37Rp01xdXR+4v2vXrvWfDELIDEEwxEZ9dD15jW9QCEOdDQ+LcLDjOM5o7bwQagIGDhxYWloqFotNoSAIHMeJxeJLly6ZbW+5wAt3tz83bM7PNzTCfR15Kx2i9/X1HTFiBM5Fj1DDJNy8cePo4We9guL8gl9VOqxq31ZGW74QFyFUA6GhoUuWLFEoyld05Xne8lz0Fgs8F/f1e9uZmb/FvdnXS15pR6VktZYvQqgJKC6i9+zYotG/2r6rUiI+0jq0h1yG1R0h67JY4PnsrMLwZ1+f3LEF7qgIIfOIVpPz03cvBLY+EOz2jIfbl8GBNkCMRjwqj5CVWSzw4g7dOxbEXC0mQc44aRxCyAxBOPzXjtkduhvl8u2tQia7ugAAh0PqEGoAzBf4pPNnCwQAgNZPD/h24bA5iQvGd23hLGfKH8br4BFCABwh/3fkyEdeQV0loh/atGzj5GTtjBBC/zFf4D8YErmj0kQUV9977r4V4GWTWPW2Ok3LLI7j1Gp1cXExACgUCqkUl59CyGrSDcbZsQnnpbavMMLHEZ0Jy1o7I4SaEZ7ni4uLDQaDVCqt6piZ+QK/Tc1aoYBX5+zZs4sXLzatJufm5pabm2vtjBBqpnYXFj+ffMtGpz2qLRk4fhJeCIdQPZs4ceKePXvA4mpy1V8H/wCS8+vspxK3nProSbOrudDQ0Ndee83T0xMAWrRoUf8JIIQMgvB6yp3/ZWYPL8r9Pj/T87kXrZ0RQs3RihUrhg0bZloP/vTp02bbVFPgyxK+fumlz/5JKWHvXQjPa0vUXq9uqdVEH5Gnp2f79u3xOniErOWO3jA1MSlOpX7nTtLyrDTZgtdAVONOAkLoyYWFhbVr1850HXxSUpLZNhZ3TiHtp9fePOG27JNXuZ+W/On34aqRkoTvV+xqvWVFneSLEGrA9hSVvJhyx86g+yfubA9/f37eK5SdvbWTQghVyfJEN4nxiT5P731jWoSW2fXDIbchY0eN6i1L6vnJro97zayvDBFCVqYXhAWJN74rVo3NzdyUd9d16nTe2xfwWjiEGjbLh9eIQAAoAFAEhzreupHOjwp26hrh8coxACzwCDVxlF4npCSnpNyaIra5JrdZfzPx1batRJMnAU3zOGYeoQbP4hR1ovBenbK2rf7f6Uw+qEPozb/+vK4XihLibysc6is9hJB1kEN7qbX/t+fvQ91snPNl8qM20pcnTxb16gc4AS1CjYTFHjztNWPdumNPLV/+++gTz8+f8t6ozm4fi3Skw4rj9ZUeQsgK+POn+fOnVw0YuVpi08/RYVublkoK56dDqJGxPMgu47oqcsOlfEcGaDro0/Nxo45e1vr2GNzDv77Suz8dQTAajXq9vvqmj4bneUJIxQZNS+89dmha2McUEkLqKDS9Foam24QQAGArHS42fVYV6yU/HBoMhhqF9L0OK8dxlkOoNEVrtaHpC/MoIcuyFEUJgmAhJPdWcza9hIWQVFr3mef5iu3c92ja7eLDB54eMOqURLHcx2uZtyct8Eaer/zJ8/eHT7LvmF4XdyWrhw98ODXalQCg8v8p7kqVHzWlUfnTqPVdqfKrV2axwLNRqwc+9Zc0IGLgsGHDhw8fGjnwqTbWPTxHUVTlr1RtbbOq7VcOqXuqCh/YVI1CC6/7cPgkL9RUw0f8b4IaftQ1+gJY/j7U3etWfiGKogghj/1CAECVllzb99ek3kOKZIqdgf7DXZRVvZCFsKbvyPKmahTW6HN+khdqeqHZz6qq/7WH2z/K1h5ly5a/Hpa3/ISvW/mFqCfflR7rC1+j9/vwf8oDLBZ46fjvblyYc+rUqVOn/l4/+6P5ZQ5teg8ZNmzY8DHTB4RYemLduHDhwscff2zqrvn4+Jw4ccLCG3sULMsKglAx5S3HcUajsarQ9DvLQsjzfEVo+mFlIWRZtiIkhFgOK6cBAKa5CTEEAEJIWVmZSCSquMf0WVV8MR4OJRJJRV/BNEeE5ZBhypdg4Diu2lB076JwnucfCMVicUUoCIJIJBKLxY8SEkJompZIJFWFFEU9MG2zhZAQUhFSFFX5O0xRlKDXHdm/Z2bHnm4K21NtQkMk4opHTf2bqkJTl+Wxd6XKm8JdqYGENdqVHtgNcVd6IKz8la6tXWnx4sV79+41pd2iRQswx/Ioesbev/OwmZ2HzVwMIJRe37dxzUeff7H0l/9FT9dtt/jEOuHq6hoZGeno6AgAHh4eT1jdAYDKyRbl50KP3rWRHUKNGyHkk3/+eS+w7WBb+e8dwxSVjm0ihBqavn37SiQSjuNEIlFqaqrZNtVcJqfPvR59+pRJ1NVcyqtDzymL+vWfUBfpViswMHDs2LG1OJMdde2S+EoCFniEdKrSOeeifld6LJGL13bpxFAULuiOUEM2fvz4MWPGmGayW7p0qdk2Fgu8YeesgKf+5D0ixk8bv3Djyn59Ogc5iuskVeugpDIwGKydBUJWxbLZZ05OUOsSbB2/pbm53XpZOyGEUO2wWOCZoP6TBt08GZ2wf5smLz3tzu3UPn36dO/ga8dYelbjQaRSmmWBEHjio/0INT6EUNcuJ545MTY4rMjOYX9wi96urtbOCSFUayxPdNPxhZ+PxKcVFSTu/2Rub5eCM9+9Nqq1i7JFj/fqK726RaQyIARq77o7hBqT3duP/ftPr/bdwcnxXLeufd3drZ0QQqg2PcpVb4zMzt7OViGXScQimhKMekMTGXpDyWQAQAxY4FGzI9xN21RYMrZrv07OypiIzi0VcmtnhBCqZRYLPH9929IZQzv5Kl1DI2evO5yh7PfKphO3C7LirbAYfF0gEikAABZ41MzwhCyOjVvYptNMV+fDHdo64ZKvCDVFlleTuxN3oSxgzNsvbhg6ICLAvomcea9EKgUAotfjGXjUfGh4/unoC/uc3N5RiN8OaiHGASgINVEWe/DS4etP7N6woAd9dddXa7ZfYzVp126VNKXpqKUyAMBz8Kj5yDay/RKuHNGzW3PS3g0Pt3Y6CKE6VM05eOONTRPCuj39zrp1q3ZcZ3N3zm/n1+n57alNZKVIIsVD9KgZiS/T9Lp6PVtT9m/Usaf79rV2OgihumWxwJPcbW8uu9x/6/WUjSMUFDCBi/afW+l3YP6rv9RXenVMUn6I3tp5IFTntuTkDbiW5MYwZ87/2zUomPL2tXZGCKG6ZbHAswmno90mvzLe997sNrRjp5ffn+UZdbIeMqsPYjEwDOh11s4DoTrEEfJWatrsGzfHKp2OZd/2Kitlho60dlIIoTpXzVz0DGPQ6e5bh47XlOkk0qqe0PhIpXiZHGrCstRl0+9mXlCXrQn0XyRhYNs5pu8AytHJ2nkhhOqcxQIv7jpysHHuh5/P3BoIAEAE1fUdy5f8zA79tX6Se0Bqaur58+dNi80EBATMnz//ybdJJFIcZIeaJFJSfGrX9hk+wRSBvy+e63UwHwDAxlbUb5C1U0MIPanDhw8fP37ctNhMenq62TYWCzzlOHrtljnjnu7lr6J5yT9BLuocnfuQd7ett87xvezs7AMHDuijFRVPAAAgAElEQVR0OgDw9/evnQIvleEgO9T08Kk3V586vSKgbVca/pDSXpEDAYDTasA/AGQya2eHEHpSu3bt2rFjh2nR2/bt25ttU80EF5Tb4DVnUubHRsUlppUwLkGde/du42qt9WZ69er1wgsv1OJqcgAAEgkOskNNTFHUuefuZuxp0fIlF8fVQUF28vKKzhkMhBDr5oYQqhWbN2/euHHjE6wmBwAAhqzLZ/49cjoxWytyulMCzu5jOjg3nSlvsAePmhSOjT988Gm5Y5Gr5x+tQ8Y4Olg7IYSQ1Vi+Dp6Unn63X7t+cz8/mqomRJV8YPXTXdqN/Pxi0xl2TqRSHEWPmgCSk8Ud3Lvhjz8ilZ5OdrYJ3btOdnezdlIIIWuy2IPnb25+45PMQZsv/fRcKxsAANAm/fjs4IWLv1t0fEG9pFf3JFI8RI8aMa0GEi4Yr1wszc9/Ibz7rsBWz9vZfNmxg4x+lHWkEEJNmeW56G9cTvKZ+tkz5dUdABQtZy59eu2wC3WfWD3BQ/SoEeN56oeNUFR4o13HaV363RZgU4DfLDcXKVZ3hFA1BZ7x8ffWZhYYAP4bV2coKNS4NKF1o3GQHWq0+DMnoCD/1+lzF5SU+UmkMW1bhYiazvgYhNATsvhLXxT+ykejEt6c/uHuhIxSvb408+KeVdMX/OU3d1Z9pVfniFQKRiMIQvVNEWpIiFqlOvHPc5EjnitUTXRxie0c1s5GYe2kEEINiPke/FNy6s9K3dpL4/e+WxFQcuU3G2DpxrrOrH4QiRQIAaMBZHJr54JQDSQePjClS78Uud3Xgf4v+npbOx2EUINjvsCvOhX1moU+Le1cR9lYQcWS8FjgUePxV2LibCcPB7HkaNtWXe1sqn8CQqj5MV/gg7t2CwYAzYkP5xxo+/nH4z2b7JgdgkvCo0aFI2TFnfT1ecUjNeqtw4fJ8ewSQqgKFiu3zFOW+eeO86VNee4rUw8eB9KjxuCWTt//2o3Ps3JWJV3a0761k0Ri7YwQQg2XxVH0tM+0Va/FLpv88p3nRnX0cZDc+zVAu/Tq0bIekqsHxLQyHvbgUYP3fXbuolu3lQx95OK53u7uTGCItTNCCDVoFgu88dDioQv/1AOcO3bfmDrZZKLbXrd51RciNRV4nMwONVwlHLfo1p1tefmT7e2+uHheWZgnmj3P2kkhhBo6iwVeOmm7rikfngcASiYDPESPGrBjpap5KXc0HLelKGvq4TMgl1NjJ1IOOMk8Qqga1S82wxdeOrDrnyt5vuPeGGmbnO3QMtix+ic1GoQRAcPgIXrUAJVw3NKUO99n5/bUlf0QfaKFXMaMmci2D6ekuN4rQqh61dRq441Nkwe9eox1FJX1bbm4y9357T5Qzfxu99dPBVprzdjaR8lk2INHDc2BwuIXk24VGAwrky8v1qpk4ybSHToBTbP4YxQh9GgsjqInudveXHa5/9brKRtHKChgAhftP7fS78D8V3+pr/TqhVQGBoO1k0CoXD7LTU+6NepKYnBeVnzUsddCQ0QvLabDuwDOMI8QqgmLPXg24XS02+Q9433F+0x30I6dXn5/1qYRJwFm13oqfPrRDT/GGKQChDy1YELL+jsKKZPjIDtkRVRSIiks4G1tiUi8RaDe1BkFlv8mMX620kH8ymKDWAIUZe0cEUKNj+VD9AzDGHS6+2bS4DVlOtOlZbWMvx11zWfmWxP8M/5YcfD6mJYd6+tMPyWT4XozyCqIRsP99Qd15SIRiS7LbBa07XxW6ToxO319RorfqLF063YAeA0nQugxWayi4q4jBxvnfvj5zK2BAABEUF3fsXzJz+zQX+sgEyZ48qKgkmt//3Iw2af/sPpcE0sqw7+hqP4J169yO7YRntNMmPK5q/fajGwvsXi/j8eA0BYipzG0HFeOQQg9EYsFnnIcvXbLnHFP9/JX0bzknyAXdY7Ofci729aPrL0E+LsnfjmczAcOmjUokKFs/MJ69rzzS3SytnNXm/o6LCmTQWFBPb0WQgBgMJADf7EXouiQlqeHjp2XmZOenvWar/e7/r4KhtbpdCBqQleqIISspJq/I5Tb4DVnUubHRsUlppUwLkGde/du41qTAfRsenQsH96jRflBfVKc8NuGH48llUr9ekx7eW5fLxHjFzlrXiQA6GO//Vo96ZX+wR3b2B3P0wHU1woalFQm4Dl4VG8EgdqyiRTkl42d9Kaz1w8paV1tbXa2Dg13sLd2ZgihJsXiuFz2zKrJq87w9gERQyY9+/zcmeP7t3EVFexbNvOLR9y6If3Ijxv/TtaXz5ZDNNFb/hflPuezH795vePdH745mldpGh1pm94eMV+sWb/uiyjvMX2d63FUkUwOeJkcqi98zDkqJ+vQlGfCKflvufmrA/2PtQltq8DFDBFCtYwixMxcdaQ0/o8fj2caLm9dcSns/ZkdKvXzuYzDX231zijYUs2GSd6xTz7YEpOj5ju89MP7QxwoADDGfD73r8B1q8a4U6A98/H8I2FfrhjmZLGU5+XlTZ061XRbLpcnJCTodJZ622+++ebzzz9fTW4VORICANKoM+LoM5pFy0z3UJVGLGPYKEIAqLin4WRlNqT0es1PmxeEd9+jsO9vZ7Pey91fIqnFF6qW1T+Bhh/qdDq1Wm31NDC0Vujo6Ch5hGWc6i2xmJiYGTNmCFWvG0lRVLt27U6dOvXwQ+YP0RPtrdN7d182Fmay+cZ9u1Mr/QGhaFm/ZfOreqVK7dwGvv71QDbmszkHK7ZalJVDe5V3zqVePsr8rFwBnCyOp7OxsZk1a5bpdnx8fGhoqLOzpdXohw8frlA86uikc0UlJ8vKltvZUSyrkMkEAJ7nxeLyUxCCIDwQchxX8R9vOSSEsCxrITQajVKp9DFCADAYDBiabhNCtFqtRCKp+G8yGAwSiaRi97AcGo1GsVhsIRSJRPS9q89rFLIsyzDMw+Hv0VGvd+1HZPJvfL2fcXeteJSmaYZhzIYcx1EUZSEEANG9c/Y1CnmeJ4RYCAVBqPhgLYcP7yyPviuxLMuybMVua/Vdaffu3enp6YCaq7Zt244aNarh7Ert2rVbunSp6RUJIYSQij8shBBBEGiavnr1qtn3Yr7A055Pbfj3KTAeWzbsn0GHVw+snUUpicFglMplpj+flFwhNaoM1U11X7nAA0D79u07depUK9kAwFVj3kfZea/Z2skIkTM0JxIbjUa5vPxgKcdxlUOe5/V6vYVQp9NVhIIgCIJgIeR5viIkhFgOOY6rCAGAZVkMTbcrCrxMVj5vgumzqijSD4cymaxi9+B5vtqwopQKgmA5lEqlFbs0IUQikVQOCwEWXr+5W+E4UuC+6NDWTyGv2IcBQCQSVRXq9XqapitK2sMhRVEVVcpgMACAhZAQUvFZGY1G07uoKqz8PWRZtvL38IHwgZ3FcvjAvvPAN9zquxLHcS1btuzXrx+g5ufAgQOm70zD2ZWcnZ3feuutyo9W/Bo27UoymWzp0qVm347FQXaSgav/HXgvIGxZGa+wkz3+bFqUVCox5pefkCc6nVEildbkVLtarU5OTjYdknVycgoMDHzsVEw6KOQCwBWRuCsA0evBtunMv4saDoHAd3kF72VkSY2GX29efXr28zqet3ZSyBKFQuHl5WXtLJAVVD6i08Dl5eWlpaWZDjtpNBqzbaoq10LB+U1Lps/8Mp4DAFJ6fu3IIAd7Bwe31iPfPpT5mH+dKKWXh5CdXUIAAIy52cWuXu41+bkQHx8/b968Ll26dOnSpVOnTsTc6IEaaSuXMRR1iaIBcDoRVCeiVepu8ZdevZM+XCJKOL5vStcIeITTewghZNmsWbMiIiL69OnTrVu3a9eumW1jvgevOrk0cthmQ68Z7ykoAP3ZFc+8E+X1yvefdlcfXPf+lOlucSdeDXmMhMRte3TcvP1IysBpASUnj1737zHTsSY9+E6dOg0ZMiQkJAQAXFxcajS2yCwFTQdKxJd4AMAVY1HtEQR61x8FNLMqMHSDng9WyPeEBA7940fK3ZPp2MXaySGEmoKtW7fevn3b1IP/7rvvzLYxX+D/WP2t7tmdcV8PcaQADMd/3Z4e/vredbNbMzCmE3st/Jcd8Oqyx0iIsomY+1r6VxuWvKgXuUbMWzTUrUYl2s7OLjQ0tBbPwQNAe7nsosEIgD14VGu0+//6Rq1dGdpOKNOvTrn+ihjoFAXk5YpeXISzyiOEaoWLi4uTk5PpHLyNjfl5Y8wX+NjLyhHL+pu619yVf08WtpsxLpQBAKD9O3VUrr7xqCmIIxZvjagUU7atJy37bNIjv4X7cBynVquLi4sBwMbG5lGuZKhWe7nskKqMoygxznWDnhgB+P38uXdEtrdbh093c/3Y2c5dIgjXLgvJN6iwTrR/gLUTRAg1ETzPFxcXm3rwpjH2DzNf4DV6uVJh6moIaSdP3PbuFxl872o22mqLVp49e3bx4sWmS1Td3Nxyc3OffJvt5XKdICTb2HfAQ/ToyZxXlS1LvnnWQAaImJ/btuzm5CgSicDdk+k7QFdUKLaxtXaCCKGmY+LEiXv27AEAiqJ69uxpto35Ah/sl3kiKl3oGkALd/btvmjXZ3n4vavy0mJj8/1H1FHGloWGhr722muenp4A4O/vXyvbbC+XAcAlR2UHPESPHtfJktIPb6f9U6oO06j252WOnDFLy7KVGxCZHJj6XEAJIdTErVixYtiwYaZpIU6fPm22jfkCP+2ZsE/eGTejYFZY3s71UU5jlkUqAAhbknRo7fw1Vzq+9WNdpl0lT0/P2r0OHgBcRYynRHLZyYUYDLW4WdQcCAT2FRR+fDczSqUOkUl/TL85NS1FuuB1EIvh/gKPEEK1KywsrF27dqZz8ElJSWbbmC/wLRdu+1O16P1f1hxSOfdYvmXVcFsA/Y6nPaf8pQif++2OBS3rMu36Fm5rc8neEfAcPLofc+pfwaAHewdwdKLs7CmJFLx9TB1xvSD8nF/4VV7Bda2uq53tjuAWw4/sZ1KSxfMXUg4O1k4c1REh9+LRBL794M5eeDQGNQpVTHQj8hn2wY5hH1S+S9Ln3b8vrAvv2MLeWufg8/PzT5w4kZKSAgBeXl69evWqlc2G29p8q7CHksxa2RpqGkhWBn3yH+Kk5LQaMBgAgAHglc53+g7a7Or5fW5+IcsNdnL4X1BAv8SL3He/EY6nJ02j/WrnzBFqkNjoT56aqvkmb9c0HE+BrC4pKenixYssy4rF4qKiIrNtHn3ZadqjQ1+P2krtsSQmJu7YscM0yE6pVBYUFDz5pfAAEG5rUyASZbC8z5NvCzUV/NlTYGvHLFnOSCRgNJCSkoN3727KKzioJ/K0jBm0MDc0JKykUPhhA1eYz3TuZug7QOTsYu2sUUNCBJ7QjLX6Q6ipe/311/fv3w8WB9k1pm9fr1699u3bV1RUVFRUlJGRUSvVHQDCbW0A4CLgBcqoHNFo+ItxQucIYBiBwK7Ssoj0nFFlxiQX9088XO8UZ35+dE+7Dev5n7+jbG0lC14XTX4abO2snTWqS0LqZ73tx/6i0v31tJ1s2Hd5bOzyNrKgJWcrxlqU7ZvlLuu+Ntl4Y02Ebb93t7wzNMBeIpbY+3Sa+P7BuxXNSGHU/+b1b+lmq3D07jDi1S0XVU86ISdqpnbu3Jmfn5+RkZGXl1fV0LRH78Fbn0gksrOzc3Jyqt3NBsvltoRcYkSjane7qNESYs4BEfQdu/6em78uI+u6Vtfd3u6P4IAJnu4ihoHWLcng4fozJ8TevqKwTjh3TbNA+8/fd8t5Xtv5mo+vbZnm5Spmxo1u8enuvfEf9+omBgD1P9sPqrounxTMGAHY6PUvXmk/c+UvI3xKz25euWrCCN0/0Wt724Dh8toxQ1fkRL6+9rfu9plHvlwxb+B1bdShl0LwpD6qKYlEUjHRTcW6Vg9oTAW+jtAUtBeMlyQyayeCGgZB4KPO7Ino8+adzDsG42Anxw2hQf0dHTQaTUUlpxwchcjBlEyG1b3ZYBRObo4yiuId3dwcZQDQcdxo3y/27738UbfOIlAd/fOQpvsHE1rQkAxAWNvRGw9smuJKAYwb3ZHp3Gfj+r+W9pou2rtqXULo8ugd77QXA8CIQUGGsFFrvjg993+RuEABqgON6RB93QkDuCQzP9UfarJYo2jLJuHC+QfuTrh0cXDL8CmO7v5SSVTH9kfC2vZ3xIHx6CHizuNGe6fs35fIAZQc2X5Y33vqeF/TH1TKZuBTo1zLf/vJujzzdAd99JmLLBt37KQ6eFCku6rQhG3fv5d9XkJ8umDF94GasMbUg4+Ojl69ejXLsgDg4+Nz4sSJWjsNz1CbaHkpx8urb4uaCO7oYSo9jc9Mp5UudEhLACjm+OUpt78u1XnaOf7UKmSCraLyYuEI3U/Sddxoz6/37Ut+x/fq9iPGfuvHetEAPADQzh7u/3XJaQ9vd6qkoIgz8Lklxitr+rivqbwZUbsSlYB9LVRTixcv3rt3LyGEoqgWLVqYbdOYCryrq2tkZKSjoyMAeHh41FZ1B4BwsYiw1JWysggF/kFvFkhOFn/mON+znygni/3le+bFRd/w1DupaQIhHyRdXtK1s8LDrayszNppogZN0m3cKPdNe/de8I89yg/4crT7vb9IQmFOHgtwb/rP/NwCYtvOQSQx2kqlAz5JOfqSN5Zz9KT69u0rkUg4jhOJRKmpqWbbNKYCHxgYOHbs2Nqdyc6krUwqMhovqdRY4JsFQrhdf1BOSqHfAJFIfHrrD4viLl+ysZvqrFyTfNkjL0PS4Xlrp4gaA2n3cSNdvt366qfp1OBNI10qehxE8++f+wsmPOVCAYDh4tZfL0oi5oeLxWzPLqLlh47kvDDbiwYAYK9+NuHpfd2///vtrmKrvQnUSI0fP37MmDGmQXZLly412wZ/SAIAKOTyUI3qohp7bA0PIaLT/xK1qhY3yUedEe7eEU2YUgz0ouzcAa07aynqYPrNza6O7gkxdLdeUMWQVNTM0TTDp18+fym1oHztLlnP8SNdbly4JB46dbjyvyOKlEi995Uxr2zYeXDP98vHjV+bFPDc65M8KNpn2luz3Y4uHjl79c/7jx35ffW0iW+fdR49LhyrO6obWOABAEAq66AquaTD9WYaHJKXw5z6lz99otY2qCrlDu9jOnb91dYx7Or1n3LzPwkOuBLi3z/xouiHjSAITPfamSERNTniLuOmtL7z+ajI1w+VlF+9Lu81apCScR45dahjpYZ0ixd/3tQv5cv5k6Yv36Xq/uafh9b2twcAynHQp0d2LQ69vunVyaOmvP6ratBnh3csaov1HdUR7KkAAFAyWZiq+C+DkSU460TDImRmAICQcAGGjYLaWKmY37crW27zSsuwA9dvjnFy+LplsLdMBuDFj5nI7f6T6tCRsscx88gs2mP8xovjN1a+i8+8kVzmOnrqoPvnOaIkfqNXHx6/+uFtiP1HvP/HiPfrNE+EyjWmAp+dnX3nzp3Y2NgH7g8PD4+IiHiiTctkYeoSAyE3dPpuNni9XANCMtOBYYiqVLiZRLds/YRbo2/e2FFYtKDHIJFWZxonr5CUj3ZmevTRAyULbfXEKaPmgTca2JJ/P90U5zZ+ZX/8o4HqQ1pa2qFDhyT3/moJgmBaLjYvL89s+8ZU4JOTkyvmoq9swoQJO3fufKJNS2VhqmIAuKLVdXuiDaFaRjLThaBQpjCfj4t+wgJ/Ky//hbvZx8J7TnV1+TIk0FUsfmCcPGkfTikUT5Yvai74m5/26bAslniN2fx6JI7NRfXir7/+eng8XROZi75fv34nTpwgD3nS6g5AyWTORqM3RS5pcdFYK6DTUoHnzTxAiJCVQTy8mM4RwrUroHvM/x2jQD68mdrh6o1Ehe1Of69tbVq6ivG8J3oiTNDcLUePnLx2defswMoTzTLBL+1N+vet8MbUd0KNxaJFizQaTUXt4ziurKyMZdmqjmE3pgJfh0RiYJhwQi5rtNZOpdkRrlwU//IDfyn+4YdIQR4YDIKHJ90pAniOv2ymTbXOlKo6XYh/PyNrel5GXKDfOH9c0RXVBrFLm36D+4Q6PTiNvMjew8/LEaeeRQ0AFvhylEwWzhsvarUCDrOrT3o9t28nAJDUWw8/KGSkA4Dg6U05KemAYCEupkbbvq3Xv3gnvd/Fq+LiolPxpzf36W3r7l4rWSOEUMOHBf4embybQaviheta7MTXH+7wPqLVCoHBQurNhx8lmemUnb1pJVa6Szch7TbJNz+W5AE3tLpZN26GRscfKFGty884e+5Ij0lTKW/fWs4eIYQaMCzw90hlXTVqCuC86sFBfKiOCHfT+KgzokHD+PYdSWEBKSl+oAHJzKB8/Ey3mfZhIJHycdGWt3lRq5uSmNw2Jv5wUfGHPp5JSfGvXIyRPfM87R9QJ+8BIYQaKizw5SiZTKnXBcukUVjg64cgcLt+p9w9mT4DBL8AABBu33+UnhAhK4Py9ikPJVKmQ7iQEAsPzVWgE4QDhcUvJae0iIrte/3meZXqs+DAVAfZ4m3f26elimbMoYND6+MdIYRQQ9KYhnqmpqaeP3/etNhMQEDA/Pnza3PrUhkY9BG2Nljg6wd/+l+SkyV+4VVgGLC3p5xdSeot6Ni1ogEpzAe9jq50XJ3uFMHHRqtv37od3CpVr7+tM6Tq9VdLVTFanU4QvKWSEUqn/grZBCdH5sh+PvocFdKKGz5G6uVtjfeHEEJ16PDhw8ePHzctNpOenm62TWMq8NnZ2QcOHNDpdADg7+9fywVeJoMCVYStzbaColKOdxA9ODa2uRFu3pD8fYBMn005KWt941RpCXf0MNOtF90i0HQPHRgspNzXg7+dnn7Rzes6I790J71AIAUsW8hxBcMmG0v0EHsRAMQU5S+T+jL0m96eY9xdw21tKJbVxkVTWw7xHCuaOJXp2kOPK8IhhJqiXbt27dixgxBC03T79u3NtmlMBb5Xr14vvPBCXawmBwCUTC7o9d1sbQSAGLV6sJNj9c9puvhzp7h9uyhCuIN7xNNn1/LWWVZ0aA8lk4mGjQYAo0AuanX5/oFpeYXZiUmZQKVqNTf0hlKOh859bPIKWskkPnJ5oFzmKhYrb990upEYOHJMkKOjj50dTdOFhYW2Oq344gUu6bpw+xbDslRoa/HEqZSjUy2njRBCDcbmzZs3btxoeTW5xlTg65ZURhkNbeQyW4aJUjXjAs/z3N6dfNQZpntvg5NSdGiv0KM3HRhSC1smRLh9S4i7wF+9mEkxF0ZPisnMiVapE8o0ekEAAKZ1uEdBgb+dnZdYPMzFuc35Ux04Y+iMOWVqlb29ffk2HGyMR/fBxk8BgAMAsdiWpimDgWMY2j9ANHCY3sdPERxKUZSFRBBCqDnAAl+OksmIXs9QVFc72/OlzfQ0PKXTsb//JNxOEY2dxPTsqy0tFV9O4PbulCx844kWehEE0el/C65dOS6S/OvlfzRyVArFgFrvZSzoZme3ooVzWxEd7uys/GKNOChU1HeqSqWyt7Mz/HSV6d6bvr9SU84u7NyXFUYDMRjAaCBarU6tkvi1kLZuB1IpAAgPzWSMEELNExb4e2QyMBpBELrb223KzmmGs92QMrX4x28EvU485wU6pBUAAEWJxkxkv/mCjz7L9OjzGNvU8Pw5lfpkQvxxIxUTMYAD8JZKhjg5LpdLB3u4+0qlpmYqlcpeKuEqXQ1PiotAq6XNXbkuuHnQFR16QgyFhWJbW7i3KYQQQiZY4O+RyoAQymjsbm+3+m5GslYXJGle05ULsVGUulSy6C3K1a3iTrpFIB3WmT9ykAnrXO0WNDyfpjekGQx39YbrpaqYW3di1WUsIQ4C3cvWbl1wwBAnxzY2Ciiv6A+WZCogmFyIIqpSAIpkpgMATk2DEEKPDQt8OUomAwBi0Hd3dgWAKJU6yKX2R483ZHz8BT4otHJ1NxGNGKu+cfXMv0fPtmynyi8q5rhili0qLi7Vaox2DjqGAQAtL2h4Ts0LFc9yF4u7O9itbeHb48CuDgYdO2uevbKaz5MOCgHTnLWBIUJmOqWwqYsB/Agh1Exggb9HKgMAymBwk4gD5bIolXp6cyrwJDOd5OYIvQdUvjOqTBNVVHqipPR8/7F6AFlWrqtE4sSxjiVFThqNPyWICvIUAYEKDy8AEHFsoJ2dn0zqK5X6y6TGsjJ7e3tu704+445kweusqPpvGuXoRCmdhdSbEBhCMtOx+44QQk+iMRV4nue1Wu3D68E/NpZlCSGmDdKCIAJgNWWcWt1FLjtXUmpalY+/t4yp6bYgCFWFHMdVzq1yaGpcOXygMcuyFp5rYcu1FTLR52i53BgQZApvG4yL0jKOq8sUNN3dVvGmp1v/o/s7sQYxz1P5uSQwmOs7kHV2lR3eS+/Zxvfow/cfwvK82LQGK8+xGo7juLLLF8XnTvH9B5fZ2nNVv8HKoci3hXArmYscImTc5cO76tXqat8CAOj1epZlKx6tvMo7y7IPhxVj7E2NLYSCIFQOeZ63EHIcR98bisjzPMdxDzxaEfI8bzQaKzd+IGRZVq/XV4QURRkMhqpCADAajaZQEARCSOWw8qOmxhWflamx5ZDjuEcJTd/wyjuLIAgVoalxVbsSz/MVuyE0gF2JN7tyMXoyvNEIEkmjmF3E9DVoRLsSy7JVfWkbU4EvKiqKiYnJzs4GAB8fnx49ejzhBk0r6drZ2QEAMSqNAGKek9vZ9XFW7rx1m8hkEp5XKBSmxjzP6/V6GxubqkKdTmdra2sKBUHQarUWQo1GY3pdACCElJWVWQjVanVFCAAqlaqWQ0EwJl6hwzqLpFKZre369MyVd9KVYtFPgX7TfH3EFAUAAj+I/elbOjCYmTiFDgg2PVc+8zn++FE4ckBcXASjJthVOgivzsuTHPiL8g+QDh4BNP2IWfEtW3OX4sS5OaDVygICaTs7y2+BEGIwGKhQ1p0AACAASURBVGQymUwmK39dtdrW1railD4c2tjYVJTSsrIyhUJhIZTL5QxT/kdJo9HIZDILoVQqFd07UKHVaiUSSVWhTqcTiUTie2vSWw71ej1N0xKJpKqQoijpvQENpsJvISSEVHxWRqNREAQLIc/zcrncFLIsy3FcVSHHcUajsWJnsRw+sO9otVq9Xl/xf2r1Xani/xQ9OS7mrc4fOr0WuPf9pKdP7Z+c/NG8N36Oy9EIdm1nrP/xmSuTRmWsTtowgL6wrH2fnaNPJq7tRk4ubLnYeXfM+x2sVptEIpGdnV3D35WSk5MTEhJYlhWLxaWlpebfS218IPUkMTFxx44dpl/cSqWysLCwNrculQEA6PUA0N3ejicktkzTUy6rzZdoqISbSUStojt2iS7TLklKSdRo53p5rAtsAVqN+F5ppNu0Nyx4w97H575nUhQzYAjl7sH+vlX840auVRvKxhZs7Sg7eybmPNFqxfMW1Oj6OjowGACYmLOAI+xQ40GKCoWbSdbOom7RrdtS9g6P8UTDyW8PjdiZsD7MLmnVxB/tlp27Pcm99OALPf7vlxlre0mWRt3i+zvGxubLimIvZAtddFEXqF6rWzWmwmQtS5YsOXDgAABQFNWzZ0+zbRrT5xgRETFhwoQ2bdoAgLK6EVs1ZRpkB0YDAITZ2shpOlpd1kwKPJ9wgVI6fy9RvJCc0t7W5nynsAh7WwBQPdDu3sVpD6DbdpC8tFi/508hOYmUqUCnAwAGQDRxKuXsUqNMKCcl5aRkblwDuZxSOj/Wu0GovpGMu9yu362dRd0Sz1vweAWedhv98nNhjiKAkAWHEkROjrS+IK+UhTKVPrx/9+xvY4p1LhdyR80afCY6TjtdE5XebWZnSa2n3wTt2LEjPT3ddAjzs88+M9umMRV4uVzu5eUVGBhYJ1sXiYFhKIMBAMQU1dnONlpdBm41q0+NktEgXLv8a+SwF5JTZrgov2/bSlTzaeAoTy/26dly0y8AnidlZWWFBdLAoMdIhw4M5uNiaC9fwNnoUCNBd+go7dDR2lk0UIyHj6fppAebtu+thWuP3GU8QoMoI/EAeffIsFfPx1xyvxrY7/s+2TOiL11QX+3Qv6etlVNuHGQyWWBgoGmqWmkVE4HgcrH/oWQycm/sUg97u2h1s1inhL9yaZfSfb5IMcPD7Qtf78eo7g9iGMrBgbi4Pt6zqcBgAKB88Pg8Qk0CbZqOUsj8ecnbdyf+dfXWlXP7P53kzwBQyt59vWP3/xbDdO4a0r0rHfP7nljXvn1c8ad9bcEC/x8ilVGG8qHL3ezt8ozsbb3BuinVg103bz4T3mOci/L7lsF0A9ix6KBQoCja19/aiSCEapNRbxC5eLvJgc8//f2fl3UsR5iAvj21v21Nbh8RImvdPfzmz7+W9OwbhIMcaw0W+EqkMrhX4HvY2wFAjEZr1YTq3NHc3JlufqMY+K1Ny1rou9cGyklpnL+Qbhdm7UQQQrWIbjH9nRmZb3ZsFdZj+u9eT02gt76y6gJ0iOwpNYZGdJSArHP3Vqy4e2R485pBtG41pnPwda3yIXovqcRPJo0p09T2UqkNyOlS1fTMvEEFub8PGyJuGNXdhDi74gl4hJoAUcSaKyfLb1Ougz86lvTRvYdeXmT69/vc8m6U5/wj2vn1nF9ThwW+EqkM7s0uAgDd7GxjyjRWTKfWkcICyR9bOXcPyts338N7anZ+mEb1u65YWsXweIQQQo0XHqKvRCajjP8V+H4O9pe0ukKWs2JGtYuPj6GyMoTbqYY9O56OSzCoNb9dOKno2MXaeSGEEKp92IOvRCoD3X8FfqiTA0/I0eKSqU3lYjkh8SofFKqYPf/DW7dPZmTtZTjP8C50m/bWzgshhFDtwx58JX7+UJhPcrNNUQupNEQmPVRUbN2kagspKSbZmUJIq2PFJasys5f7+47s048bMAQeYRkYhBBCjQ4W+P/Q7cJAruCjzlbcM9TR4VBhsUDMNCZFhdSNa/WX3BMTrl8FispoETQtMbmPg/0HLfBCc4QQasqwwFciEgvhnfn4C6YJawFgiIN9PsvGl5mZ8YZEn2V2bwdirvg3SML1q4J/wJycApqCX1uHMjhMHSGEmjQs8PchXbqDQc8nxJnC3nY2NgxzsNDMUXpSVAhGI1GZX8OnwTEahJSba1qFx2i0f7Rp6SXFuZ4RQqiJa0wF/uzZs6NHj1YqlUqlsm3btqQues9KZzqkFX/+tCmS0nR/R4fD5k7Dk6JCACD5ebWfQx0Qkq5flduuoUWvuLn0c3ycFSMQQgg1HLNnz3Z1dfXx8XFzc4uPjzfbpjENsPLz85s2bZqrqysAeHt7U3VzkJnp0Zv96Vvh7h3w8gGA4UrHhbduF7Kc4wPzuJYUAwApyIPg0LpIo3axiVdfCO/hLZG95elm7VwQQgg9qWeeeSY0NJTjOLFYfOnSJbNtGlOB9/X1HTFiRKdOner0VehWbSknpXD+DEycCgDDnZ34m6lHioufcq60QK1eBzotNJYevCB8qtHHu9kdbxWiaEyHbBBCCJnXv3//vn37mlaTW7p0qdk2+Pf+ITTNdO3OX04gWg0ABMhkrRTyQ4UllZuQoiIAIGJJoyjwN1JurfQPfcFe0dcRZ6xDCKHmAgu8GXRETyACxF8whcOVToeL7rtYznQCHgKDSUFDL/ACgXnpWS6ccU0HnNAGIYSaESzwZlB29nTbDkL0WdNVcMOdnfJZNl7z37z0pLgQGIa0CCTFRcA16LlsvysoPE2LN2pL7MS4SBNCCDUjWODNY7r3hqJCKvUWAPR1sH/gYjlSXEg5OBIXNxAEUlhgvTSrkaY3rMjInplxe3hQkLVzQQihWmI4s3b2Fxc44OLfCe/3WapQs2dzlz7o0nvdTb5ucmtIsMCbRwcGg4sbFRsFAFKaHujkcLj4v9PwpKgInJTE2QVMA+kbqheTU2yIsPbmFTq0lbVzQQihCoJQw6p8Hy4j5lBcTjOo0E8IC3wVKIoO60il3jIdpR+mdIpVl+XfW1mOFBdRTs7g4AhicYMdZ/dbbv6houL16SnOvn4gk1s7HYRQ82NI/GlurxAfL0/f8MlfxJYBcPHvhPeY8XzvAC93Z//BK3b9uXx4hwAvj9YTN141AgDokn57pX8rHw+f0F7Pbb6oMg19uv/O4hsbn3nnWNGBRQPfPcUBsHd2LYxsG+Dt1Wb8F/GmteW5rKMfjA0P8HT37TR57elCAgBAis6vn9LJ192rZZ/nt1zXV5Vw09KYLpOrb+6eYDSQ4iJK6TxS6fQSwHGVerajA5gO0bcPB4qinF0bZg++kOUWp9we4Wg/+e8EetQEa6eDUFOWbjBEqdTWzqJu9XNwcJPUeBxPyc53l2XOOJv6ok/m16N7frT7mV1TAdgriS5HLmd3Tv+oT+fZG1efj071Pbegy4s/xs79JOLqx1PfvPP838kvBuX89uygp95vffmzPqKE++/8v9aXf/7wWNDBWcdW9r32Dhu/59KSM5f+53xtRd8hX/w7/6dRktubn517dsiey7vblR1aOHjGkpaXtowVHXtnxibJhyfSJisTPhw55DehWSyTjQW+SpSHFwCQ3GxK6ewnk7ZWyI+UqmYDEE0ZGAzgpAQAytWtYfbgl6Tc1vHChrJCIIRu087a6SDUlJ0vVU9JTLJ2FnXr3/B2bpKaToJJCACXfTnqSva4Ti8dzn4JALjbIGo9fno3B4qRhbdx6tFrRms5BeGdQwznywh/89BB1bi1c9soKAic8vq0j5/Zf5nraffwnR90rHgNJuCpl8f6iABaR7QXX1ZzIBQe2pU09I194XYU2A1d8qzPoL/j2eHsH3vc5h5/KkjGQI/Fi0ds+LRWP52GCgt81ZyUIBaT3Gxo3Q4ARiidfsjJ1QmCrLgIACilMwBQrm5C6i0r5/mQf4pLtubkfRHo5/XTN3zbMMpJWf1zEEKPa5yLc1HvbtbOom7ZMUzNn0Q5Tfrk+6SlK8e3nMsGD5//0efvDvcAoKQyKQAARVG0XCGnAEj5vKRCYX6Ju6+X6ZUYLz+P4ugCQTCaufO/16DdPNxMj1Gm2UaF3Ozc4n2vdu8oK0/CcygBY2GB1nuQj6mhjX+A+2O8m0YIC3zVaJo4u5KcHFM0y83l04ysHfkF000XwZt68C5uRFMGWi1IpVbMtDKdILyQnNLV3nZe0hWi03J9B1g7I4SaOAlNSWj8W/owUpana7Pgt5gVpODKrmVTn/uge+o3libLpp1cHPIzc3gIZQD4nIw8B2clRduZubPysx6Ys5xWOivdJ/9f9Jf9JACgzbh8kwRLJGdcbbPuZvIQwgAYc7MLBefaf7sNDw6ys8jNXcjNMt1sY6PobmuzMTOHFBWCSEzZ2gEA5eIKAEJBvjWTvN/q7Lw0veEbXy84fZzp0Ydg9x0hZB1C+tZnI1/8/S4rcQ4I9lAw1S0gwoQOG6b469OfkvXA3t316W+awSPDxGbvBMIbjebH4dO+Q0a47Pn4m0tqQSg+u3LCuK+uCiDpNnpQ+rer/kozCur4rz7bW/wkY/gbDyzwFrl5kLw8uHc9x1w3l/Mq9UWVmnJSAkUBAO3qDg3pSrmEMs2GvIK3/Hzanz0BBJj+g62dEUKo2WJazft4vu7jHr7e/u2fix+6ecXgao50ijsv+32V16+jQ70DB34mWrr9w35ys3dKQzuHnFrY862TrLlXbbPol09a7ZvSxsev0ytJ439cM8wWwGHU+t/nln3Ux9+3y8LUMfP7No8Vs/GwkiXE1Y3iWFJYQLm6AcA4J4e3xOJNINqgvNctVigoGxtSkFcnC9vVkFEgs2/cDJJKltsr+JhzogFDKVs7UKmsnRdCqJminCPf2X/1ncp3dfrw4hnTLcnIH7NGmpopn92X9iwAAChaz/j6xIyv79/Mw3d2Wn4uazkAAFw8WX6XZNh36cNMN6VBkz49Oun+cXSUc683/kx441646AneVeOBPXhLiJsHAJDcbFMopenZnm7bbB3UTq4VbSiXhjKQfmVa+jWNdqO/r+jv/ZRMzvTpb+2MEEIIWQ0WeIscHEEqJTnZFXfM93DXUvQ2pUvFPZSre0Mo8Allmo/vZiz19e6qKRUuJzCDhzeccX8IIYTqHxZ4iyiKdvcQcv8r8AGccWBhztf0f7WTcnUjBXmmCe/qCf/gDI1Ggcy6nhwsl73Xwpc5dphSOjMRPesvH4QQQg1PQyvwJP/Ehs1nVPVYLatBuXuRSgWeFBfNS0tJ5IVz9yauolzcgGVJSXEVG6hlQuIV6foP+TMnKv+kWJF297pW91PLYPHxo3TqLdGQkfA4F60ihBBqOhpWgeezjmzbcyVH04DWEKDcPUhBfkWnmRQVjsjP8pdKNmXnljdwdQUAKKynK+WElJtABG7fLvb7jaS0FAAu6/Tr7ma+5ewY9vNm7uhBPqInHdapfpJBCCHUYDWkAs+lHdiZ12t06wa1bjnl7gk8/99Z9qJCRiKZ4+mxo6DItPYM5ewKNE3q61J4kp7GB7cUP/ciyckyfrpKG39h/u27IUR4/Y8fQKsRP/8yN3gEVHOxKUIIoabP6gWev3vip82bf/gnVZeye49m0OT2Ng2rOFEenlBpIL1pHbm5nu4CIb8WFgEAiESUoxPUz6XwgiBkZYKXDx3aWrzoTTog6O1LV27qdN+d+8ema3fJ4mV0UGh9pIEQQqjBq+sCz6ZHn79jqAhJccKvHy6cM3PWi29/cyqLAwDGL3LWvHlzBgUYi1kuY/9Xn+++evPoT0fTGspResreARQKIad8PjtSVEg5Kb2kkjHOTt/nF3KEQPmSM/XRgye52cAaBU9vAKBs7U6MmfxlQMu38zK7TZ0hGjMJJM1j7gaEEEKPoG4nujGkH/lx44XuX3RvIaUAgGiit/wvyn3BZ2+1LNi9cuU3R1utGO5W3mGnHLpMW9IFgI3+cn3JzMH+5WPEtFrt4cOHTbevXLly69at8+fPW3jFQYMG+fv7P2J6PM8TQvT68qWBBUHgOO7hkHJ157IyBYOB4zhRUQG0bKPX6xe6uUYWFG26m/Gcuyvl5AxJiTzPVzyXEFKLoSAI5WHqLYqieHdPvV5fyHGzbtzsYWf7SthQo1wOldKueG6TDwkhAMCy/01nZfroKmbEfDg0/H97dx4fRXn/Afx5Zu/N5tpcy5KQkHJIuOQKBgURpFYCiFcRESkVy0/pq9brpb5arRWLLfoTLKLIz6qQejQJCCLKoVHUoCAhAgEBIRCJuc/NnrNz/P4Ysx02myUJSfb6vP/gxWd3svvsPPPMd+fYGZerW5Fhfv4SzHGc/0gp5TjOEz3/+oyCIPDtJ3b4j263m1IqtF9O0WcU28+4lN7CTxRl52Z2JXpmNc/z8jnvFTsbO12JXm8kffY+H0rt79UxeuYtRCZpmQmeodTa2pqXl+dpgCAIivZzqKUlXKFQ1NbW+vwsfVbgxbpP//fptw7WtPFjrmp/zH38m9LkWc+PjVXS2NmzR2zfc7jlV7+Kv3iXvGryH56QRYvFsmrVKun/iYmJ+/fvb2vzd9/lp59+esWKFd1qqdVqlUeWZb2iNj5BUVFut9uJIGgtrS59FGu1ZjEkNzb62cqqeTptjCFa29LMOR3ySkMuLjwdo9f7diVqz59TxBvdSqXbar33x5/svLBuQLLI8z14qXCKLpfL5frvbiJPHe1K7FaXdSt2XJBIcJDPq96N/j+yV/Q/HPp6KPmJKPARju+wRu1M/wylkpKSFStW8B1+He1BKc3JyfH5VJ8VeJo885FXZroPrvntR+0PiU1VNYx5WgIlhBCNOdVYX1UrkHi/v+cymUyHDh2S/r9p06ZVq1aNH99rp4hbrVa32x0fHy9FjuNYltXr9V6RzxjMHSmJj4pyNjUSnjekpjGJiTzPr6TMpLKT77nYhzMy3aKotduiBv9C+ltBEOx2u8Fg6CzabLbo6Oif54soWq1WP7GtrS0mJoYQwjbUMumZarX6Hav9Y4v1naxh45KTLBaL9KwkoqIoio2NjQaDQav9+daQbW1tBoPBsxXeMUZFRXk2u61Wq16v9xN1Op3ny7LNZtNqtX6iRqNRKn8eUHa7Xa1WdxYdDodSqVSpVF2JTqeTYRh1+/GXjpFSqmm/qJG0mvATRVH0zCuWZQVB8BN5ntfpdFJ0u90cx3UWOxs7PqO0hRQVFeWZOU6n09h++Wee5x0Oh5+x0ytDSeJz0fJ0E0QmtVqdmJgYPENpxowZ8p1/HYeSVqt99NFHfX6W/jzJTnS5WI1OK61rqU6vYV2u4PnBe+doiomIImmoo63NpP1O8ISQoVrN4pSk5yoqW6R7wzc29G073G6xtoamDTrldD189twSU/LC5KRL/xUAAESk/vyuSjUaNVvvlGq66HCwao2mO6fMnzhxYsuWLdLXIrPZvHbt2j5pZgc0xUwIEWqqCesihFDZDVifzhj0Tl3Dixbbk2o1berbAi9UVRKeZ1MHLTv3o0mt/ueQzD59O4CIVVVV9cknnwS6FRAATU1NJpMp0K3okldffbWoqIjneaVSKT+VRK5fC7zRbBK+rW4RSSIlbG11c9LIlO7sQeA4rq2tzeFwEEJ0Op0oipe6u3DvoFFR1BBN6mopJUSvJ1qd56lBWs19ZtPayurlyebEhr4t8OKFCqJQPObkv3e6vhw3OkaJa9UB9L7U1NQzZ84cP35cEATP8RpCCKKfyPM8wzCeFbL/ib1W3R0jIcTzSP9Hs9lMQoHFYmlubpbOufMc0fPSr0ebVCNzxm3M33N25sLBLfv2fp+esziuOwV6zJgxixYt6sVj8F1HTQPE2iqq0dL4BK+n/pSe+kZN7XODh7147mSftkGo/LFw+Oh11bV/Gzhgckx0n74XQMTKzZVuYRoUZ5kEMHbrdJbGxka9Xu85kBwGp7MEv8cee+yRRx4JnmPwhEZlL3s4p2L9Q/f9flVx2u8euCE5uC5q0zlqMpPaGtLSLN8/L0lUqR5MNb9uiC+32sjFZ2j3rtN19fcPGjov0bgiJfHSUwMAQGTr4y14VfaDedmyTA0jbntizW09e7Hy8vKvv/46Li6OEDJ48ODly5f3RhO7hKaYxOJ9xOWkGT6OfD+cNnD9hapn04fkHftOMW5iXzTAarXe/ousFEax+Yph1G7ri7cAAIBQsWvXrs8++4zjOKVSeeHCBZ/ThNIPQqqrq3fu3Ckdg09PT+/fAj+AiCJ1ODyn0MtFKxR/zkh7kOdvLyu7uW8K/L3HT1bo9PvTzbFKhaUv3gAAAELH1q1bCwsLRVFkGGb06NE+pwn4tei74eqrr96xY0dTU1NTU1NpaWl/vjWTMkC6g0vHY/CSFWbTrxhyjyn9XEVFr7/7xvrG9xyul04eHTtoUK+/OAAAhJyNGzfW19dXVlbW1dV1dmpaKBX4QNJqaWwcufg3cnKUkPVZV2hFYdGZs5zYm7/u/7LV8qefqu+xNi+hPGHQXwAA0CUoGF2WbCKUUqPvAk8ISdJqNhP3QUb95A/ll/M+QsU55XubpGvLF7da5hz7frxe/2LZIZqKzXcAAOiqUDoGX1JSsm7dOun/gwcPLigo6M93p+aBYk0VUfm7Y9vMiZOe2LplFaXXJhiv0fTwvvbC/i+YM6fd2/IPzb559rETo6L0BUnxmuYmJg0FHgAACCFk5cqV27Ztk47BJyT4PnYcSgVep9OZzWbpSnZdv2Vcb2Gmz2LHjPf/G0lqTPizghS3Nd998ofiEUOH9uBtWJdwokwwmQ+cPz+39OhQg+HD0SPURw4TQmhqf39kAAAITgMGDMjMzAyeK9ldrqysrAULFgTkQjeEEKJWk7j4S06lyrn6jXc2T541/zflFR/FxMR283pzfNlR4mYP5N580091w1ub9wzPjFUq7VWVRK+nCfj5OwAAEELIsmXLli5dGkQXuokEzPAsc5T+7bofj9odk0qOHLPZu/Xnwncle0aMuam26YqY6J1njunf3UTcbqb6JyZ1EOmX6/ICAEB4QIHvbZQqsqdMLflm3+BUJSU5h4++W1ffxT9ttrQu0xjmZYwYF6XfPXZUwm13ivW1/K4PaPVPOMMOAAC6JZR20dfX13/++ednz54lhKSmpnZ2i/uAYyZdRT75eMSJowenXnfPqR/uPHG6SM08b2vlGSKyLHE4RNal0GjJ/NvlG+UfNzUvP3aicUDac+bk+0ymWKWSDEpX3pDLffQBJYRBgQcAgHanT58uLS11u90qlaqpqcnnNKFU4E+cOFFYWNjW1kYIMRqNjY2NgW6Rb9QQTUeOZYp2M0W7N1E6LmPYk8PHljj52+qqZ9lbx7BOqlQpqir5gWmK7Bw7Lxy1Wl+qqHyvqXm6zfJp/YUh102zWq3SSymmzRTOnBZOn6RpOMMOAAB+9tBDD+3cuZMQQimdMmWKz2lCqcBnZ2ffcsstWVlZhBBj579HDwaKG3LZpCS1MZFGxzwWG5st0Geqa5+JNf5JEFLUqllxccNOHz9x/sejovqU08WLooFhXkk1Lf1XgeqWBRe9EKXKO5bYj32niYkN0EcBAICgU1hYeOHCBZfLpdVq16xZ43OaUCrw0s/kMjN93O4l2NB4I58zTWEwSHG6IGRHG6hOt6/Fsru5eU9TS0F8SlZbS3Zzw32jx1wZpR9GacLhAxylipFjvS+Dp9fzWb6vMwwAAJFJq9VmZmZKZ9F3dpfbUCrwoS5KoZidED87IV4QBJvNpj9ayu3Yoho6mJpNVquV/+4QM2Ik0etJr17pFgAAIhPOog8YxZSpTFo6tzWfcBytrRFrqhVjJwS6UQAAECZQ4AOHUuX828WmBn7fp8zxo0SrZUaMCnSbAAAgTITSLvoDBw4899xzbrfb6/G5c+euXbs2IE26THRgmiJnKv/ZXoVWqxg5hqh6ePl6AAAIe3l5ec8++6z8EVEUKaUZGRk+pw+lAp+UlDR9+vS4uDivxydOnBiQ9vQK5S9zhbLvxNZW5krsnwcAgE5lZWXNnz9f1b4pKIoix3FKpbK83PctTEOpwGdmZt50000BuxZ9H9FqFfN/7f6iiBkyPNBNAQCA4DVhwoTRo0fr9Xop8jzv/1r0oVTgwxUzYpQ7LUPL4HwIAADoNSgqAAAAYQgFHgAAIAyhwAMAAIQhFHgAAIAwFEoFvri4eO7cuUaj0Wg0jhw5UsQlXQEAICItXbo0KSkpNTU1OTn58OHDPqcJpbPoBw0atHDhwqSkJELIwIEDqexm6gAAAJHj7rvvHjZsGMdxKpXqyJEjPqcJpQKflpY2e/bscPsdPAAAQDddd91106ZN8/87+FDaRQ8AAABdhAIPAAAQhlDgAQAAwhAKPAAAQBhCgQcAAAhDoXQWvSAIHMd1vB/85bygKIqeF+R5XhCEzqIgCF2Poij2eGL/UXoE0fN/QgjP8/J563a7PT+h9BmZ9vv6dIwcx8kn5jhOEISuR8+1Gbwiz/NekchcMgqC4GkVz/NeCy2lVB4JIX6inwVeaqE8ej0rn89eked5r9itoSRvJIZSoKLXzOnWUCIdhiGGUn8Opc6uChNKBZ60925vvZq0SHleUJpZnUVp7dCziUVRlG7c6zOS9tv6dnFi+StHePQUePkj8jWLKIryQS5Fz6rEK/pcK3mVf3n0+ltpzHcxEplLRkqpfEmTD2ZprSRfZxFC/ET5suQVpVfubJGWPmxn0f9wuORQ8vO+GEr9Fn3OyS4OJa9X6+5Q6jiyMJS6Ej2jIxwKfFlZ2ebNm5VKJSEkJSUlLy/vMq91I31R0ul0UuQ4jmXZzqLUhfLodDo7e1bqBj+R53lPlBYFefTzLCFE3uYIj6Io2u12tVqt1WqlR6R55VkwOI7TarVe0bMq4Xn+klGhUEhREASvqNFovKK0cEoNU6vVnUVCiFKpVKlUXYlOp5NhGLVa7TNKqySNRiNFl8tFCPETRVH0zCuWZaUP+h9JCwAACLJJREFU1VmUL4dut1u+HHpFaW3es6HktYRjKAVJ7NZQstvtKpVK3ondGkodRxaGkid2NpRWrVpVVFQkCIJCoZB/ZLlQKvBKpVKtVkv9odFovv3228t8QYfDwfO8wWCQorQh6OlCrygIAsuynj7rGF0ul3xVIi//HaPD4dDr9T2IhBC73Y4o/V8URYvFotPpPKPUbrfL10r+o8PhkK+zOkaNRuNZSTmdTrVa7SeqVCrPSsrlcimVSj9RoVB4VlL+I8uyDMP4iZRSz/CW9t35idL6UYrSnkM/ked5z/LvP/ofO/6HksvlYlk2Ojra8yyGUpDErg8li8Wi0Wg8XYyh1A9DSRomPM8zDCM/ViJHO9u0D0JlZWUlJSW9+IJnzpxpbW2dMGGCFKXdHZ5FJ1CREMLzvJ/IcZz8C2wkR57n9+/fP3ToUJPJ5HnEa9YxDCPfsRYMUdpV6CcSQuR7LIMhSvu3/cQeL/AVFRU1NTWTJ0++/JfCULqc6H9e+V+ki4uL09PTU1NTuzIxhlKvD6W0tLQZM2aQDkKpwPe61atXHzx4sLCwMNANgR5yOBxTp0596qmn5s2bF+i2QA+99tprW7Zs2bNnT6AbAj03ZcqU+++//6677gp0Q+Ai+JkcAABAGEKBBwAACEMRvYu+paXF5XKlpKQEuiHQQ6IoVlVVxcfHy08OgtBisVhsNtuAAQMC3RDouaqqqpiYGM8JyxAkIrrAAwAAhCvsogcAAAhDofQ7+F4lNpe+s/7NT0+1agblLFyxbJo5YudEaBFtpz98dcP2Y/VuVfKY+cvvyx2mp+jN0OKs+OTN17cfqrCoM2fe+8Di8fHowZDjvPD5Wxv+c6CS1adOvPV/7pmRpiboxCAUoVvwou3AWy9/k/LbNW9ueGTcj29s2FuHAxUhgS9//+WP1Lf//fXN//rbjeyWde+X8+jN0OI8lrd6mzDnLxs2vfJA5nfr80qc6MFQ4z71n3/kNU9/8rW31j9+TcPbL+/8SUAnBqUILfDu49+UJs+aNzZWqfvF7Nkjzn19uAULYwgQHfW2+Gm/zE5UUWXyhHGpjVV1PHozpLBlRcVxNy7ITlTRqCsWPvP84iwVejDE8JUlpezkuTPMaqpNmzU/u/lgSb2ITgxGkbkPRWyqqmHM0xIoIYRozKnG+qpagcQrLvV3EGDUcNXyv15FeEvVD+dOfV7UcGXucBURa9GbIUNsqqymBuPeFx4rLrfHDL/+7t/OMxKxHj0YUgSB99RuyjBibVUtL4roxOATmVvwosvFanRa6XqGVKfXsC4XvmyGDNF2as/bb+d/1ZY+ZpCeojdDiehyOVsOH7ZNf/AfLzwxR7ln9f99bRHRg6FFkTZxvPqb7XvK2xzNp3YUfFHvcrEYhkEpMgs81WjUrNMpLX6iw8GqNZrLui8d9CcaM+k3T69+Ze2vxXc37KoW0ZshhKrVas2VNy2cZIqKMl91y8yE7w6c5NCDIUY9/I5H7zTuX/PwA399r374xDSdRoOValCK0AJvNJuE6mrpEBFbW92cZE6JzDkRYviz7696qUg6eYfGZGTEtzQ0C+jNEELjTSme9T5lGIYyDEUPhhjRLcRPWbZy3caNa/+yOFNoS0kzKdCJwShCe0A1MmdcbdGes06Rr9m39/v0nPFx+LIZApgkI3P4o92nrCIRWss+PdAyZEQag94MJZpRk0ed3bnt+zaBby7d/mnd6InDFOjBECP8uPXPD2842CyI9h92bD+eOX1yIkUnBqOIvZKdaP1+y7qNRRVOZVL2XX9ckp0QoV91Qo1Qf2DTurc+K7cxuqSRNy699+ZRcRS9GVLExm83v5z3ZXkrSRg1e9nym7Ni0IOhRrSf2v7S+g9OWjVJw6+963cLroynBJ0YhCK2wAMAAIQzfMUCAAAIQyjwAAAAYQgFHgAAIAyhwAMAAIQhFHgAAIAwhAIPAAAQhlDgAcCbUL7mGi2jSFz0vkX2qO29Ww1DHtnvJoS3NVTXW/mAtQ8AugAFHgC88Ge35B9SxxhadxXsbfXxvPDTG7cNnf/aeaHfWwYAXYcCDwAX43/YUlBqvHXlQxNtu/J3X/ZdvUWXw4nLaQH0PxR4ALgI/31h/hFj7oLf3D53lG1PwS6vCi+ceX7KkD/ss+1/ZIh+9puNIhEail+65/orM4zRcWnjb3q84JSDEEJchb+OyV715cdP3XhF+p0FvvYDAEDfQoEHADmurLDgeELurdOih+XOucK2t+DjposqPDPk0f1n/nlt1JQXztg/WprAH39xfu4/zmc/uunTr3a/usTwwdLrf7dVuuGfUPnvx9c77nrriw23xAbmswBENBR4AJDhjhYUnkzIvXWanihHzskdYv8k/+PGzvews8Ub1h27ZtW7f1t07bixk+c88K+XlzDvv76jXiSE8A2GOS/8fVHOsJQo3FcMoP+hwAPAf7lLC7acjrpqUmr12bNnKwyjJyXbivI/auiswovNp0/Xtn28bKBaJYm+YcMFtqa6TiCEMLFjxmUq+rP1ACCjDHQDACB4uA/lb/nB3Xxy+ej3PY/R1vwP6xYvTfG1FU41Wq0ibcXuM/+8VnXxM66ThEYZsOkOEDjYggeAduyB/K3nExZvbxXbsQcfH+78vODD2k624Q1jxw9t2P/VaU6KYuMHf5w+f80Rrv/aDACdQIEHgJ+59ue/f8F065JZMZ6HVOMW3jGS3Vewo1pe4SkhYkv1hfo2p2LUkt9fe/75xfdv2HWorOTDvy9Z8XrL6GuuwK5BgMBDgQcAifOr/G3Vg++4e6pO9qBy5II7xnFf5H9Q9d/L2jAp18zJaX31l0OXFDbTjHv+/eHKsSdW3zk1+/r7CzVL39v21CRN/zceALxRUcQlKAAAAMINtuABAADCEAo8AABAGEKBBwAACEMo8AAAAGEIBR4AACAMocADAACEIRR4AACAMIQCDwAAEIZQ4AEAAMIQCjwAAEAY+n9hRjWaw5QqZwAAAABJRU5ErkJggg==" /><!-- -->
+As a side note, this example also shows how the additional dimensional
+infos set be either the constructor of the table or the
+<code>mT.setDimInfo()</code> function and stored in the
+<code>table$data$dim</code> list can be used by ggplot as
+aesthetics.</p>
+<p>Now, if we look at the exposures, we see that above age 95 we are
+below an exposure of 5000 and at age 100 we are below exposure 500. So,
+for these old ages we apparently do not have enough data to derive
+mortalities with sufficient significance. So, let’s cut the table at age
+100:</p>
+<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" tabindex="-1"></a>PopulationData.AT2017.raw <span class="sc">%>%</span> <span class="fu">filter</span>(age <span class="sc">></span> <span class="dv">90</span>)</span>
+<span id="cb24-2"><a href="#cb24-2" tabindex="-1"></a><span class="co">#> # A tibble: 20 × 4</span></span>
+<span id="cb24-3"><a href="#cb24-3" tabindex="-1"></a><span class="co">#> age exposure.total deaths.total qraw</span></span>
+<span id="cb24-4"><a href="#cb24-4" tabindex="-1"></a><span class="co">#> <dbl> <dbl> <dbl> <dbl></span></span>
+<span id="cb24-5"><a href="#cb24-5" tabindex="-1"></a><span class="co">#> 1 91 15616. 2963 0.173</span></span>
+<span id="cb24-6"><a href="#cb24-6" tabindex="-1"></a><span class="co">#> 2 92 12870. 2721 0.191</span></span>
+<span id="cb24-7"><a href="#cb24-7" tabindex="-1"></a><span class="co">#> 3 93 10245. 2451 0.214</span></span>
+<span id="cb24-8"><a href="#cb24-8" tabindex="-1"></a><span class="co">#> 4 94 8024. 2113 0.233</span></span>
+<span id="cb24-9"><a href="#cb24-9" tabindex="-1"></a><span class="co">#> 5 95 5875. 1727 0.256</span></span>
+<span id="cb24-10"><a href="#cb24-10" tabindex="-1"></a><span class="co">#> 6 96 4041. 1382 0.292</span></span>
+<span id="cb24-11"><a href="#cb24-11" tabindex="-1"></a><span class="co">#> 7 97 2480. 885 0.303</span></span>
+<span id="cb24-12"><a href="#cb24-12" tabindex="-1"></a><span class="co">#> 8 98 1139. 433 0.320</span></span>
+<span id="cb24-13"><a href="#cb24-13" tabindex="-1"></a><span class="co">#> 9 99 591. 237 0.334</span></span>
+<span id="cb24-14"><a href="#cb24-14" tabindex="-1"></a><span class="co">#> 10 100 405. 182 0.367</span></span>
+<span id="cb24-15"><a href="#cb24-15" tabindex="-1"></a><span class="co">#> 11 101 259. 116 0.366</span></span>
+<span id="cb24-16"><a href="#cb24-16" tabindex="-1"></a><span class="co">#> 12 102 208. 98 0.382</span></span>
+<span id="cb24-17"><a href="#cb24-17" tabindex="-1"></a><span class="co">#> 13 103 132. 82 0.473</span></span>
+<span id="cb24-18"><a href="#cb24-18" tabindex="-1"></a><span class="co">#> 14 104 70.8 42 0.458</span></span>
+<span id="cb24-19"><a href="#cb24-19" tabindex="-1"></a><span class="co">#> 15 105 37.7 26 0.513</span></span>
+<span id="cb24-20"><a href="#cb24-20" tabindex="-1"></a><span class="co">#> 16 106 16.9 14 0.586</span></span>
+<span id="cb24-21"><a href="#cb24-21" tabindex="-1"></a><span class="co">#> 17 107 6.98 2 0.251</span></span>
+<span id="cb24-22"><a href="#cb24-22" tabindex="-1"></a><span class="co">#> 18 108 3.37 3 0.616</span></span>
+<span id="cb24-23"><a href="#cb24-23" tabindex="-1"></a><span class="co">#> 19 109 0.8 0 0 </span></span>
+<span id="cb24-24"><a href="#cb24-24" tabindex="-1"></a><span class="co">#> 20 110 0.17 1 1.49</span></span>
+<span id="cb24-25"><a href="#cb24-25" tabindex="-1"></a>PopulationTable.AT2017.cut <span class="ot">=</span> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb24-26"><a href="#cb24-26" tabindex="-1"></a> <span class="fu">mT.fillAges</span>(<span class="dv">0</span><span class="sc">:</span><span class="dv">99</span>) <span class="sc">%>%</span></span>
+<span id="cb24-27"><a href="#cb24-27" tabindex="-1"></a> <span class="fu">mT.setName</span>(<span class="st">"Austrian Population Mortality 2017, Whittaker-smoothed and cut at age 99"</span>)</span></code></pre></div>
+<p>Even though we don’t have enough statistical data to derive
+significant mortalities above 100, we still want to create a table that
+covers this age range by extrapolating the significant table to higher
+ages. This is typically done by selecting a fitting function and an
+appropriate age range, where the function is fit to the data. The
+parameters of the function calibrated to match the mortalities in the
+fitting range as good as possible are then used to extrapolate the
+mortalities with the function to ages outside the existing table.</p>
+<p>The function <code>mT.fitExtrapolationLaw</code> uses the package
+<code>MortalityLaws</code> and the function
+<code>MortalityLaws::MortalityLaw()</code> to fit one of the mortality
+laws (see <code>MortalityLaws::availableLaws()</code> for all available
+laws) to the data and use that law to extrapolate to the desired ages,
+with a potential feding-in or fading-out age range.</p>
+<p>In this example, we fit a Heligman-Pollard-type law (HP2) to the raw
+data and use it to extrapolate up to age 120. The age rante 80–95 is
+used to linearly switch from the (smoothed) death probabilities of the
+input table to the death probabilities calculated from the fitted law.
+So in this case, all observed probabilities above age 95 are not used at
+all anyway.</p>
+<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1" tabindex="-1"></a>PopulationTable.AT2017.ex <span class="ot">=</span> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb25-2"><a href="#cb25-2" tabindex="-1"></a> <span class="fu">mT.fitExtrapolationLaw</span>(<span class="at">law =</span> <span class="st">"HP2"</span>, <span class="at">fit =</span> <span class="dv">75</span><span class="sc">:</span><span class="dv">99</span>, <span class="at">extrapolate =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">fadeIn =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">95</span>) <span class="sc">%>%</span></span>
+<span id="cb25-3"><a href="#cb25-3" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"smoothed and extrapolated"</span>)</span>
+<span id="cb25-4"><a href="#cb25-4" tabindex="-1"></a><span class="fu">plotMortalityTables</span>(PopulationTable.AT2017, PopulationTable.AT2017.smooth, PopulationTable.AT2017.ex, <span class="at">title =</span> <span class="st">"Austrian population mortality (raw and smoothed), 2017"</span>) <span class="sc">+</span></span>
+<span id="cb25-5"><a href="#cb25-5" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">colour =</span> type)</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
-<p>Using different laws and different fitting age ranges can result in quite different results, so be carefull when extrapolating the table and always do a sanity-check on the results!</p>
-<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1"></a><span class="kw">plotMortalityTables</span>(</span>
-<span id="cb26-2"><a href="#cb26-2"></a> PopulationTable.AT2017, </span>
-<span id="cb26-3"><a href="#cb26-3"></a> PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb26-4"><a href="#cb26-4"></a><span class="st"> </span><span class="kw">mT.fitExtrapolationLaw</span>(<span class="dt">law =</span> <span class="st">"HP2"</span>, <span class="dt">fit =</span> <span class="dv">75</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">extrapolate =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">fadeIn =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">95</span>) <span class="op">%>%</span></span>
-<span id="cb26-5"><a href="#cb26-5"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"Extrapolation: HP2, Fit 75--99"</span>),</span>
-<span id="cb26-6"><a href="#cb26-6"></a> </span>
-<span id="cb26-7"><a href="#cb26-7"></a> PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb26-8"><a href="#cb26-8"></a><span class="st"> </span><span class="kw">mT.fitExtrapolationLaw</span>(<span class="dt">law =</span> <span class="st">"HP2"</span>, <span class="dt">fit =</span> <span class="dv">75</span><span class="op">:</span><span class="dv">85</span>, <span class="dt">extrapolate =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">fadeIn =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">95</span>) <span class="op">%>%</span></span>
-<span id="cb26-9"><a href="#cb26-9"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"Extrapolation: HP, Fit 75--85"</span>),</span>
-<span id="cb26-10"><a href="#cb26-10"></a> </span>
-<span id="cb26-11"><a href="#cb26-11"></a> PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb26-12"><a href="#cb26-12"></a><span class="st"> </span><span class="kw">mT.fitExtrapolationLaw</span>(<span class="dt">law =</span> <span class="st">"HP2"</span>, <span class="dt">fit =</span> <span class="dv">90</span><span class="op">:</span><span class="dv">110</span>, <span class="dt">extrapolate =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">fadeIn =</span> <span class="dv">90</span><span class="op">:</span><span class="dv">100</span>) <span class="op">%>%</span></span>
-<span id="cb26-13"><a href="#cb26-13"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"Extrapolation: HP2, Fit 90--110"</span>),</span>
-<span id="cb26-14"><a href="#cb26-14"></a> </span>
-<span id="cb26-15"><a href="#cb26-15"></a> <span class="dt">title =</span> <span class="st">"Examples of different fitting ranges for extrapolation"</span>) <span class="op">+</span></span>
-<span id="cb26-16"><a href="#cb26-16"></a><span class="st"> </span><span class="kw">aes</span>(<span class="dt">colour =</span> type)</span></code></pre></div>
+<p>Using different laws and different fitting age ranges can result in
+quite different results, so be carefull when extrapolating the table and
+always do a sanity-check on the results!</p>
+<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" tabindex="-1"></a><span class="fu">plotMortalityTables</span>(</span>
+<span id="cb26-2"><a href="#cb26-2" tabindex="-1"></a> PopulationTable.AT2017, </span>
+<span id="cb26-3"><a href="#cb26-3" tabindex="-1"></a> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb26-4"><a href="#cb26-4" tabindex="-1"></a> <span class="fu">mT.fitExtrapolationLaw</span>(<span class="at">law =</span> <span class="st">"HP2"</span>, <span class="at">fit =</span> <span class="dv">75</span><span class="sc">:</span><span class="dv">99</span>, <span class="at">extrapolate =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">fadeIn =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">95</span>) <span class="sc">%>%</span></span>
+<span id="cb26-5"><a href="#cb26-5" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"Extrapolation: HP2, Fit 75--99"</span>),</span>
+<span id="cb26-6"><a href="#cb26-6" tabindex="-1"></a> </span>
+<span id="cb26-7"><a href="#cb26-7" tabindex="-1"></a> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb26-8"><a href="#cb26-8" tabindex="-1"></a> <span class="fu">mT.fitExtrapolationLaw</span>(<span class="at">law =</span> <span class="st">"HP2"</span>, <span class="at">fit =</span> <span class="dv">75</span><span class="sc">:</span><span class="dv">85</span>, <span class="at">extrapolate =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">fadeIn =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">95</span>) <span class="sc">%>%</span></span>
+<span id="cb26-9"><a href="#cb26-9" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"Extrapolation: HP, Fit 75--85"</span>),</span>
+<span id="cb26-10"><a href="#cb26-10" tabindex="-1"></a> </span>
+<span id="cb26-11"><a href="#cb26-11" tabindex="-1"></a> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb26-12"><a href="#cb26-12" tabindex="-1"></a> <span class="fu">mT.fitExtrapolationLaw</span>(<span class="at">law =</span> <span class="st">"HP2"</span>, <span class="at">fit =</span> <span class="dv">90</span><span class="sc">:</span><span class="dv">110</span>, <span class="at">extrapolate =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">fadeIn =</span> <span class="dv">90</span><span class="sc">:</span><span class="dv">100</span>) <span class="sc">%>%</span></span>
+<span id="cb26-13"><a href="#cb26-13" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"Extrapolation: HP2, Fit 90--110"</span>),</span>
+<span id="cb26-14"><a href="#cb26-14" tabindex="-1"></a> </span>
+<span id="cb26-15"><a href="#cb26-15" tabindex="-1"></a> <span class="at">title =</span> <span class="st">"Examples of different fitting ranges for extrapolation"</span>) <span class="sc">+</span></span>
+<span id="cb26-16"><a href="#cb26-16" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">colour =</span> type)</span></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
-<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="#cb27-1"></a><span class="kw">plotMortalityTables</span>(</span>
-<span id="cb27-2"><a href="#cb27-2"></a> PopulationTable.AT2017, </span>
-<span id="cb27-3"><a href="#cb27-3"></a> PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb27-4"><a href="#cb27-4"></a><span class="st"> </span><span class="kw">mT.fitExtrapolationLaw</span>(<span class="dt">law =</span> <span class="st">"HP2"</span>, <span class="dt">fit =</span> <span class="dv">75</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">extrapolate =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">fadeIn =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">95</span>) <span class="op">%>%</span></span>
-<span id="cb27-5"><a href="#cb27-5"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"HP2"</span>),</span>
-<span id="cb27-6"><a href="#cb27-6"></a> PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb27-7"><a href="#cb27-7"></a><span class="st"> </span><span class="kw">mT.fitExtrapolationLaw</span>(<span class="dt">law =</span> <span class="st">"thiele"</span>, <span class="dt">fit =</span> <span class="dv">75</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">extrapolate =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">fadeIn =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">95</span>) <span class="op">%>%</span></span>
-<span id="cb27-8"><a href="#cb27-8"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"thiele"</span>),</span>
-<span id="cb27-9"><a href="#cb27-9"></a> PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb27-10"><a href="#cb27-10"></a><span class="st"> </span><span class="kw">mT.fitExtrapolationLaw</span>(<span class="dt">law =</span> <span class="st">"ggompertz"</span>, <span class="dt">fit =</span> <span class="dv">75</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">extrapolate =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">fadeIn =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">95</span>) <span class="op">%>%</span></span>
-<span id="cb27-11"><a href="#cb27-11"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"ggompertz"</span>),</span>
-<span id="cb27-12"><a href="#cb27-12"></a> PopulationTable.AT2017.smooth <span class="op">%>%</span></span>
-<span id="cb27-13"><a href="#cb27-13"></a><span class="st"> </span><span class="kw">mT.fitExtrapolationLaw</span>(<span class="dt">law =</span> <span class="st">"carriere1"</span>, <span class="dt">fit =</span> <span class="dv">75</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">extrapolate =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">fadeIn =</span> <span class="dv">80</span><span class="op">:</span><span class="dv">95</span>) <span class="op">%>%</span></span>
-<span id="cb27-14"><a href="#cb27-14"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"carriere1"</span>),</span>
-<span id="cb27-15"><a href="#cb27-15"></a></span>
-<span id="cb27-16"><a href="#cb27-16"></a> <span class="dt">title =</span> <span class="st">"Examples of different fitting functions for extrapolation (fit 75--99)"</span>, </span>
-<span id="cb27-17"><a href="#cb27-17"></a> <span class="dt">ages =</span> <span class="dv">75</span><span class="op">:</span><span class="dv">120</span>, <span class="dt">legend.position =</span> <span class="st">"bottom"</span>, <span class="dt">legend.key.width =</span> <span class="kw">unit</span>(<span class="dv">15</span>, <span class="st">"mm"</span>)) <span class="op">+</span></span>
-<span id="cb27-18"><a href="#cb27-18"></a><span class="st"> </span><span class="kw">aes</span>(<span class="dt">colour =</span> type) <span class="op">+</span><span class="st"> </span><span class="kw">labs</span>(<span class="dt">colour =</span> <span class="st">"Mortality Law"</span>)</span></code></pre></div>
-<p><img 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" /><!-- --></p>
-<p>The Austrian population mortality table for the year 2017 derived above is a period life table describing the observed mortality only in the year 2017. To describe death probabilities for a given person, one needs to take into account the mortality improvements and project the mortality into the future from the observation year. This can be done with age-dependent yearly mortality improvements, also called mortaltity trend <span class="math inline">\(\lambda_x\)</span>.</p>
-<p>For simplicity, we will use the trend <span class="math inline">\(\lambda_x\)</span> of the medium scenario of the mortality forecast of the Statistik Austria (forecast from 2016 to roughly 2080). These forecast tables are available as the mortality table <code>mort.AT.forecast</code> for male and female separately. Even though we derived a table for unisex, we will apply the male trends for simplicity. In practice, of course you would derive proper unisex trends from the available data.</p>
-<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Austria_PopulationForecast"</span>)</span>
-<span id="cb28-2"><a href="#cb28-2"></a><span class="kw">plotMortalityTrend</span>(mort.AT.forecast, <span class="dt">title =</span> <span class="st">"Forecast trend (medium scenario) by Statistik Austria"</span>)</span></code></pre></div>
-<p><img src="data:image/png;base64,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" /><!-- --> As we can see, the trends appear to be derived from data until age 94 and then set to a constant value (“floor”). Let us first apply the male trend to the observed period life table of the year 2017, and then extrapolate the trend from age 94 to higher ages by an exponential function towards zero. The first can be done with the function <code>mT.addTrend()</code>, while the second can be done with <code>mT.extrapolateTrendExp()</code>:</p>
-<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1"></a>PopulationTable.AT2017.trend =<span class="st"> </span>PopulationTable.AT2017.ex <span class="op">%>%</span></span>
-<span id="cb29-2"><a href="#cb29-2"></a><span class="st"> </span><span class="kw">mT.addTrend</span>(mort.AT.forecast<span class="op">$</span>m<span class="op">@</span>trend, <span class="dt">trendages =</span> <span class="kw">ages</span>(mort.AT.forecast<span class="op">$</span>m)) <span class="op">%>%</span></span>
-<span id="cb29-3"><a href="#cb29-3"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"smoothed, extrapolated, trend"</span>)</span>
-<span id="cb29-4"><a href="#cb29-4"></a></span>
-<span id="cb29-5"><a href="#cb29-5"></a>PopulationTable.AT2017.trend.ex =<span class="st"> </span>PopulationTable.AT2017.trend <span class="op">%>%</span></span>
-<span id="cb29-6"><a href="#cb29-6"></a><span class="st"> </span><span class="kw">mT.extrapolateTrendExp</span>(<span class="dv">95</span>) <span class="op">%>%</span></span>
-<span id="cb29-7"><a href="#cb29-7"></a><span class="st"> </span><span class="kw">mT.setDimInfo</span>(<span class="dt">type =</span> <span class="st">"smoothed, extrapolated, trend extrapolated"</span>)</span>
-<span id="cb29-8"><a href="#cb29-8"></a></span>
-<span id="cb29-9"><a href="#cb29-9"></a><span class="kw">plotMortalityTrend</span>(PopulationTable.AT2017.trend, PopulationTable.AT2017.trend.ex,</span>
-<span id="cb29-10"><a href="#cb29-10"></a> <span class="dt">title =</span> <span class="st">"Extrapolating the trend via Exponential function"</span>) <span class="op">+</span></span>
-<span id="cb29-11"><a href="#cb29-11"></a><span class="st"> </span><span class="kw">aes</span>(<span class="dt">color =</span> type)</span>
-<span id="cb29-12"><a href="#cb29-12"></a><span class="co">#> Warning: Removed 20 row(s) containing missing values (geom_path).</span></span></code></pre></div>
-<p><img 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" /><!-- --></p>
-<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb30-1"><a href="#cb30-1"></a></span>
-<span id="cb30-2"><a href="#cb30-2"></a></span>
-<span id="cb30-3"><a href="#cb30-3"></a></span>
-<span id="cb30-4"><a href="#cb30-4"></a><span class="kw">plotMortalityTables</span>(PopulationTable.AT2017, PopulationTable.AT2017.smooth, PopulationTable.AT2017.ex, PopulationTable.AT2017.trend.ex, <span class="dt">YOB =</span> <span class="dv">1980</span>, <span class="dt">title =</span> <span class="st">"Austrian population mortality (Period 2017 vs. Generation 1980)"</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.01</span>, <span class="fl">0.99</span>), <span class="dt">legend.justification =</span> <span class="kw">c</span>(<span class="dv">0</span>,<span class="dv">1</span>)) <span class="op">+</span></span>
-<span id="cb30-5"><a href="#cb30-5"></a><span class="st"> </span><span class="kw">aes</span>(<span class="dt">colour =</span> type)</span></code></pre></div>
+<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="#cb27-1" tabindex="-1"></a><span class="fu">plotMortalityTables</span>(</span>
+<span id="cb27-2"><a href="#cb27-2" tabindex="-1"></a> PopulationTable.AT2017, </span>
+<span id="cb27-3"><a href="#cb27-3" tabindex="-1"></a> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb27-4"><a href="#cb27-4" tabindex="-1"></a> <span class="fu">mT.fitExtrapolationLaw</span>(<span class="at">law =</span> <span class="st">"HP2"</span>, <span class="at">fit =</span> <span class="dv">75</span><span class="sc">:</span><span class="dv">99</span>, <span class="at">extrapolate =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">fadeIn =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">95</span>) <span class="sc">%>%</span></span>
+<span id="cb27-5"><a href="#cb27-5" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"HP2"</span>),</span>
+<span id="cb27-6"><a href="#cb27-6" tabindex="-1"></a> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb27-7"><a href="#cb27-7" tabindex="-1"></a> <span class="fu">mT.fitExtrapolationLaw</span>(<span class="at">law =</span> <span class="st">"thiele"</span>, <span class="at">fit =</span> <span class="dv">75</span><span class="sc">:</span><span class="dv">99</span>, <span class="at">extrapolate =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">fadeIn =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">95</span>) <span class="sc">%>%</span></span>
+<span id="cb27-8"><a href="#cb27-8" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"thiele"</span>),</span>
+<span id="cb27-9"><a href="#cb27-9" tabindex="-1"></a> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb27-10"><a href="#cb27-10" tabindex="-1"></a> <span class="fu">mT.fitExtrapolationLaw</span>(<span class="at">law =</span> <span class="st">"ggompertz"</span>, <span class="at">fit =</span> <span class="dv">75</span><span class="sc">:</span><span class="dv">99</span>, <span class="at">extrapolate =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">fadeIn =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">95</span>) <span class="sc">%>%</span></span>
+<span id="cb27-11"><a href="#cb27-11" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"ggompertz"</span>),</span>
+<span id="cb27-12"><a href="#cb27-12" tabindex="-1"></a> PopulationTable.AT2017.smooth <span class="sc">%>%</span></span>
+<span id="cb27-13"><a href="#cb27-13" tabindex="-1"></a> <span class="fu">mT.fitExtrapolationLaw</span>(<span class="at">law =</span> <span class="st">"carriere1"</span>, <span class="at">fit =</span> <span class="dv">75</span><span class="sc">:</span><span class="dv">99</span>, <span class="at">extrapolate =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">fadeIn =</span> <span class="dv">80</span><span class="sc">:</span><span class="dv">95</span>) <span class="sc">%>%</span></span>
+<span id="cb27-14"><a href="#cb27-14" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"carriere1"</span>),</span>
+<span id="cb27-15"><a href="#cb27-15" tabindex="-1"></a></span>
+<span id="cb27-16"><a href="#cb27-16" tabindex="-1"></a> <span class="at">title =</span> <span class="st">"Examples of different fitting functions for extrapolation (fit 75--99)"</span>, </span>
+<span id="cb27-17"><a href="#cb27-17" tabindex="-1"></a> <span class="at">ages =</span> <span class="dv">75</span><span class="sc">:</span><span class="dv">120</span>, <span class="at">legend.position =</span> <span class="st">"bottom"</span>, <span class="at">legend.key.width =</span> <span class="fu">unit</span>(<span class="dv">15</span>, <span class="st">"mm"</span>)) <span class="sc">+</span></span>
+<span id="cb27-18"><a href="#cb27-18" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">colour =</span> type) <span class="sc">+</span> <span class="fu">labs</span>(<span class="at">colour =</span> <span class="st">"Mortality Law"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>The Austrian population mortality table for the year 2017 derived
+above is a period life table describing the observed mortality only in
+the year 2017. To describe death probabilities for a given person, one
+needs to take into account the mortality improvements and project the
+mortality into the future from the observation year. This can be done
+with age-dependent yearly mortality improvements, also called mortaltity
+trend <span class="math inline">\(\lambda_x\)</span>.</p>
+<p>For simplicity, we will use the trend <span class="math inline">\(\lambda_x\)</span> of the medium scenario of the
+mortality forecast of the Statistik Austria (forecast from 2016 to
+roughly 2080). These forecast tables are available as the mortality
+table <code>mort.AT.forecast</code> for male and female separately. Even
+though we derived a table for unisex, we will apply the male trends for
+simplicity. In practice, of course you would derive proper unisex trends
+from the available data.</p>
+<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" tabindex="-1"></a><span class="fu">mortalityTables.load</span>(<span class="st">"Austria_PopulationForecast"</span>)</span>
+<span id="cb28-2"><a href="#cb28-2" tabindex="-1"></a><span class="fu">plotMortalityTrend</span>(mort.AT.forecast, <span class="at">title =</span> <span class="st">"Forecast trend (medium scenario) by Statistik Austria"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- -->
+As we can see, the trends appear to be derived from data until age 94
+and then set to a constant value (“floor”). Let us first apply the male
+trend to the observed period life table of the year 2017, and then
+extrapolate the trend from age 94 to higher ages by an exponential
+function towards zero. The first can be done with the function
+<code>mT.addTrend()</code>, while the second can be done with
+<code>mT.extrapolateTrendExp()</code>:</p>
+<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1" tabindex="-1"></a>PopulationTable.AT2017.trend <span class="ot">=</span> PopulationTable.AT2017.ex <span class="sc">%>%</span></span>
+<span id="cb29-2"><a href="#cb29-2" tabindex="-1"></a> <span class="fu">mT.addTrend</span>(mort.AT.forecast<span class="sc">$</span>m<span class="sc">@</span>trend, <span class="at">trendages =</span> <span class="fu">ages</span>(mort.AT.forecast<span class="sc">$</span>m)) <span class="sc">%>%</span></span>
+<span id="cb29-3"><a href="#cb29-3" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"smoothed, extrapolated, trend"</span>)</span>
+<span id="cb29-4"><a href="#cb29-4" tabindex="-1"></a></span>
+<span id="cb29-5"><a href="#cb29-5" tabindex="-1"></a>PopulationTable.AT2017.trend.ex <span class="ot">=</span> PopulationTable.AT2017.trend <span class="sc">%>%</span></span>
+<span id="cb29-6"><a href="#cb29-6" tabindex="-1"></a> <span class="fu">mT.extrapolateTrendExp</span>(<span class="dv">95</span>) <span class="sc">%>%</span></span>
+<span id="cb29-7"><a href="#cb29-7" tabindex="-1"></a> <span class="fu">mT.setDimInfo</span>(<span class="at">type =</span> <span class="st">"smoothed, extrapolated, trend extrapolated"</span>)</span>
+<span id="cb29-8"><a href="#cb29-8" tabindex="-1"></a></span>
+<span id="cb29-9"><a href="#cb29-9" tabindex="-1"></a><span class="fu">plotMortalityTrend</span>(PopulationTable.AT2017.trend, PopulationTable.AT2017.trend.ex,</span>
+<span id="cb29-10"><a href="#cb29-10" tabindex="-1"></a> <span class="at">title =</span> <span class="st">"Extrapolating the trend via Exponential function"</span>) <span class="sc">+</span></span>
+<span id="cb29-11"><a href="#cb29-11" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">color =</span> type)</span>
+<span id="cb29-12"><a href="#cb29-12" tabindex="-1"></a><span class="co">#> Warning: Removed 20 rows containing missing values (`geom_line()`).</span></span></code></pre></div>
+<p><img 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bOfn7nD4n0rJdSmadqnZzyFEML2bZ9+cjj/QwKXvn5s47jY2NjY2IS2H55U8hO8IgG+a64AKqldO+GiIew4OOe5qRvvOOfN0ufH/3Lfi7WPiO49tHMIgRC27Zw/b4cVI0TF9xvSTu+pUokm0sPgXZA+glByhz987dI5z1PuEbqGjIhyXn/Onlm55M+bNEII2W9tmzd+8ZGHerOub9W7i/DVPHN8yYTFRwTlzI1f35/354kzZ86c+c8eX7Ni4fxUXCT6zeNlmEBf5VcSlFygixAiwp/9044xxvyDdc85770ggtotvshadk9yXqxL6BrOOJR/e7D9z2fDnfdHGGr2GvPm7HVXWNcHHkku+uUuf9w6/1EuhCa6dtuOretVCpb8MqxuMvecy1X0BEkQiFCFVEpOitLmvzcmqKSXN2blX6HK3Vw5KE68FUgbmdy0bcu0WIN4K2dQk5miYplLSRWrctdfBU+ykwyCY8vo2CJ3TXG3VwwouJtJFZqQXDm80GMkir+K3gtt2N01vReWdg7Pv1k5vlH3Z0a9NKxbnShBCKGq/Nza+x4uP/dyMihuzquRZE/PblzwtCBCFZqQXDVSnDcIoeKvoncOUObPg8Il1ajKY7dLnwLwcBNJDv8Eqf9CyTu/+MHXXsx5xa55+KvosfnvFwsunCHUoXGVEyL1wk7F+feSuXmSXXH9dRyfXfCwDE1kcrMOHZpUyb8Pnozs+Y3zHnRvlgK/ebys8hgkeN74x/PObzoJVY1JeywYYz79p0EV8gO08XtHhLWOT/+xX8ENxvJPJy10V0/G3y9XL/z8I0KfPHDiU2nO5ycEtZl/xl7oVpNWL41rGVq4BhnVYe7BQk9M4rMPLOgeX/h2IQEytOHYdTc8P8lOqSp3/fVBgseYS1//ah2Di4i0wf2dT04tPsF7oQ27SfAYc7f/HNtA7klZuuqDvzhZ9LG2xQvwkOAVNufdSPK5e2a2rkC52CSj2vdqFabgSXaS7mT/NrTgWiaq6vidhZ7W+3ATSQ7/BKn/QsnLGe4HX3sx55W6xgcJHjP/fdo1yuWbXjKs9euvthPcW+IEjzF95ZcRqYaig0iGNZq44Z73w+JXj5dNyv1X9Dhz/dvjV94Ubp6o0H/m5NYGhBARO+T915voCIQQth1b8MqCY3aEEBE77MvVs4Y2qxqhU6l0YfFJ8bLPghQhonp+umP9nOFtkisY9BFVG3V9+s1v9hxe/f5TjYWlFFv2f/nt4UJfZOkaTv57x7evda8bH6bThcXX7jJqwcZjm6Y2K7RSEeHN3/r7zNFVs0b1apocG6ZXa0MqVK7b6em3v9pxdv+n/St7/gVJuSpv++sFZGyvT/fu/3HK4ObVooK0+shqrUcs2rL9k+4VlU44n2gjK/X5dN+JDR+/2rdptehQnS40PqVR+wFjP/rj5InfXqnn+fLKEgh4mObcqQht897O84d+ev/Fbg0qRxq0hojKjfu9vXL32rGp3tzgiRAR3m1oj/wMT1XpP7hlsdtql2B6lxBvglTkEYSSB/zgay+m3KNzDUKqmmPX7Vk1bUir5IpBGk1QVFKzgZNX7ts4pZFMZvYSdbWnvj90/I+FY/o2T44J06m1wRWrN+s7dtGGY3sX94gRP4h7FYl+83jZhMDYPz+oAQXQm19K7PntAx4hTafPr/0zJv4x+glICnf+wxb13znCIKTt/u2tDSMrPqbjAJQYCCUA8IJy/wkeeOTgnDWjaqekpKSkpNTqtrDgYiP67Jq1wpWsVGKd2uGwNAMAAPiTx+wLC+ARQITUrhFy+/uDdozQlQ+efzlo7ugWUXmn//h4xsdHHRghQt9k1Igm3n3DDAAAAHgJJHjA51C1xn29cG/vN9bforH55A9je/1QUEbok5/+cuWk2jDxAAAA/Auss48AMqZxn0E5uRghdd3qHu89Li8Y6o37/USb3z779Me/dh2/cCfTymlCo6ukNe3Ub8Sro/uk+uxaPuAx4/ELJQB4COAiOwAAAAAoh8BFdgAAAABQDoEEDwAAAADlEEjwAAAAAFAOgQQPAAAAAOUQSPAAAAAAUA6BBA8AAAAA5ZCydx/8oUOHbt++7UODLMuSJEmSpHioUjmHhed5hJBskXOvHkmRByOSzRU9GWEYhqIo8ZDjOIqivDKCMWZZVjSCMeZ5XokRaU8FIyqVSjjTRSTHcSRJikbciSzWiFjLg0gXI8rdIRXJ8zzHcVIjCt3h0jWO49Rqtbc+dRlknueVTAwPPXUxotAdLkY4jsMYSw+VuMPFCMuyCCHpoRJ3FDVCEITYnEJ3uIhUbsSlyMXIw68DDx/CLkYeQQi7W6wefQi7M1I0hBW6o+g68PAhrNBIiUNYYe5wCeGYmJjWrVujIpS9BL9u3bq2bdtqNAq2olSGxWJRqVRarXN3LZvNptc7H6HBMAxCSHSntIjneYZhxFomk0mj0bgzQhCE6AlpEcdxLMtKjeh0OqE5jLHdbhfPpGmaoihx9kuNsCyLMRZrmc1m0QjP8zRN63Q64UyHw6FWq8U5566nPM9bLBa9Xi9odhFpt9u1Wq0Yve5EchxntVoNBoN4yHGc6DWbzabT6UQjDodDKlKlUgm1WJa12WxBQUGCZuXusNvtGo1GrGW324ODg4XmlLtDKlIwEhISUlSkB3e4FDkcDpqmpUaUuKOoEZZlg4KCvHKHixGbzcbzvGhEWuTBHUWNYIwNBoNX7nA502q1EgQhtSl1h4c5I+2pxWKhKErUrNAdLiLNZrNarfZ2HSgawlqtVtDsVQjzPC/WkoawcndIRQpGxBBW7g5pdHgVwtKeSkUKRsQQVu4OaXQUDWGF7pBGh4sRhe5wKaJp2uFwKFkHPIcwwzDBwcFFRXpwh0uR3W7nOE4IYZ7nV69eLZvgy95+8FOmTLFYLD40mJWVZTYX7A2em5sr/m2324VVrGgRy7LSWhkZGVJV0jNtNpvD4ZAtomlaWstoNIrN8Tyfl5cnFlmtVpqmZY04HA5pLaPRaLfn78/MsiaTSTzTbDYLASbbU2kto9EoamYYRirSZDIJbx6F5qRGpCIZhjEajQzDiD21Wq3SpnneuW83x3FSkRaLRazlcDiMRqOoWbk7TCaTtJbRaBSbU+6OvLw8aS2j0SgVqcQdLkUWiyUjI0M89OAOm80musOlyGw2Z2VlSXuqxB0uRvLy8rKzs2WLPLjD5czc3NycnBzZIg/ucDkzJydHOs9d3CGdM1J3uERHVlaWVLNCd7iIzMzM9BDC7tzhEh1Go1HU7FUIS2tJ1wHl7pCGMMdx0hBW7g5pdAghLGpW7g5pdNA0LQ1h5e6QRocQwuI8V+4OaXQIISxqVugOlyKr1SoNYYXuwEVCODMzU1YkVpw7TCaTGMIsy06YMAHLAb/BAwAAAEA5BBI8AAAAAJRDIMEDAAAAQDkEEjwAAAAAlEMgwQMAAABAOQQSPAAAAACUQyDBAwAAAEA5BBI8AAAAAJRDIMEDAAAAQDmk7D2qFuU/fc/nNov+LT4PSLaoaK0SGClaJLXsrRHxf1kjnkUW/b9YIx5EFjVSgpH0rZGSuUPWvk+MSEUqORNJeMieyhrxVuQjMKJ8fPxtxCv7DzPxxP9ljSD3I1n0/JIZ8aBE4Uj6xIisfg/d8ZM7lItUciaS4K07PBhxeVFK2UvwHMdZLBbhUf4+QXhgu2hQeGKi2BbK31TDpQhjzHGcWAtj7MEIQRA0TRct4vMRxdA0LTbHMIzUCMMwDodD1gjGWKyF8p91LIoUz2RZVhDjzohYCyFkt9sFzRhjYYsFsZawBYJQ5NJTlmUFkYIRm80m7vQgiJE2LRqRihSMSHeVEB5X7pU7GIYRRQovWiwWb90hPPZSrIUQko6k2FPP7pAWCY/eVOIOoTnBHUWN8DzvcujOHe7mjPB8TakRl5GUdUex3XHnDqnIoj116Y7LSIpzRuoOVDg6hMeYezCiPIRdpmix7hCiQzxECIlGio6k5xAWm0b5Ow64MyLdwsRlnXEXwsrdIUaHcL7wtNSiIlmWdecOaXS4hLByd0ijQ2jUYrFID5W4Q9pTMYTFQ4XucBkf6Zz34A6hI+5C2CVwpBlaYe6QGpGOmwtlL8FTFBUcHCxucfHwZGdnazQaceONvLw86V4CGGNxpwdpEcdxdrtdrEXTtFarFVVJz7Tb7SRJilsXSIsYhmEYRqzlcDi0Wq3QnOA88UybzaZSqcStC6RGhDcWYi1hawphuwWO42w2m7irgcVi0el04tYILj1FCIm1aJrW6/WCZpZlaZoWRZrNZoPBIG5aZTKZZEWKtYSdEhiGYVlW3ClBaFqMeavVKoq0Wq0ajUaoRdM0wzBBQUGCZuXuEHbaEGsJWzsIzSl3h8lkktaSusNqtarV6mLd4VJktVptNpt46MEddrudIAhxzwxpkfCgb/FQoTtcjAiPvxYPpUUe3OFypvD4cVkjHtzhcmZubi5JkrJGXOaM1B0u0ZGdna1Wq0XNCt3hIjIrK0uj0bgLYXfucIkOIYQFzV6FMMdxYi0hhAXNyt0hDWGe57OyssQQVu4OaXSwLJuTk2MwGATNyt0hjQ6GYXJzc8UQVu4OaXQ4HA6hOWGeK3eHNDrEEBY0K3SHS5HNZpMGjkJ3oCIhLN2xRirSgztcioRn9QuHwn50SA74DR4AAAAAyiGQ4AEAAACgHAIJHgAAAADKIZDg0cX09M3nzgVaBQAAAAD4Ekjw6IvrN8Zlm6SXsAIAAABAWQcSPBoaE52u0f5zFj7EAwAAAOUHSPCoeVJSksO2/O6dQAsBAAAAAJ8BCR4RBPE0iX9XG3LNluLPBgAAAICyACR4hBB6Krm6nST/78ypQAsBAAAAAN8ACR4hhKpFx7S0W1Zk5QVaCAAAAAD4BkjwTp4NDd6tD7p6Lz3QQgAAAADAB0CCd/J0/QY6nl95/r9ACwEAAAAAHwAJ3klYcFAv2rrCwXnYeg8AAAAAygqQ4At4Pj7usk5/5Pr1QAsBAAAAgIcFEnwB3evUiaHpX+/cDbQQAAAAAHhYIMEXoKKopxC7Wq232u2B1gIAAAAADwUk+EKMTku1U9RzO3bBL/EAAABAmQYSfCFSExK+0ZFrdUHv7tgeaC0AAAAAUHIgwbvSt07dqTw9h9CuOHgo0FoAAAAAoIRAgpdhdqeOT9rNL1sch65eCbQWAAAAACgJkOBlIAhiWaeOdR3WJ2/du5WREWg5AAAAAOA1kODl0Wu165o2oRBue+7i4t277bQj0IoAAAAAwAsgwbulUoWo7akp7Vn6TY6svnPvZ/v20QwbaFEAAAAAoAhI8J6oGh2zvFOHE9USm3PMazRufOTY2Zs3Ay0KAAAAAIpHFWgBZYC6VaqsrVLl+LVrgy5eefns+b2JiQRBBFoU4GPu3r2bkZHBsqxWqxVesdlsOp1O8DXDMHa7/f79+0KRw+FQqVQURYln6vV64W+WZTHGarW6aJHD4aBp+t69e+KhWq0mSbLomQzDIITcGWFZNigoSDi02+1arVYQiTG22+3imTRNUxQlK9Jms/E8LxqRFmGMHQ6HTqcrtqc2mw1jbDAYihbxPM8wjDiSdrtdo9HI9tRqtRIEIbUp/s1xHMdxGo2mqDtcemqxWCiKEjUrdIeLSLPZrFarpd5X4g6O46RzxmQyabVaQbNyd7Asy/O8WMtsNut0OqE55e6QihSM6PV6lUrllTsYhiEIQqjFcZzVajUYDEJzyt0hFSkYCQoKEppT7g5pdAjRFxwcLAajQndIo0Mwcu/ePeHQgzvCw8MjIyNRuQASvFIaJiUtzsjsb3F8t//AqFYtAy0H8DErVqyw2WyBVgEAQICJiooaNWpUoFX4BkjwXtCxZo2B+/6dwmr75eZGBgcHWg7gSziOa926dZMmTQItBACAgLF79+5r164FWoXPgATvHUubN009fvqdAwe/7NI50FoAH6PX6yMiIgKtAgCAgCH+GlI+gIvsvCM+MmqaivheY9h/6VKgtQAAAACAWyDBe83rbdrUsVvHXLvJclygtQAAAACAPJDgvUZFUa2nsG4AACAASURBVEurVT6rM3x79FigtQAAAACAPJDgS0K7mrWGO8yzWQQ7xwMAAAClE0jwJWRyWmquSvXLieOBFgIAAAAAMkCCLyG1KiW0tZq/ys4LtBAAAAAAkAESfMkZFRF6WB985ApsKQsAAACUOvyX4HH28Z9mj3/x2efHTPty913XXVo8lWLrpZ2bT2Vjv0nzEb3Takczji8vXQ60EAAAAABwxV8JHlsOLvv0QMyLi3/48s2GN7//cusDrLAUm479sPDTP09k8n6S5jM0atULBP+LRp9tNgVaC+B/+Gs/vda/T58+A6b+ZSz17z4BAAD8leCZsweOR3ftWz9Mpa/es2fqtf3HcrCSUpxz4LufLulCy8hmLmPq1XMQ5IoTJwItBPA/ef/+3w9/rl+/4XBeUFgZmZ8AADzO+OlRtTjr7j0yvl0UgRBC2viESOPd+zyKoIopxRm7vl5DDh7R/LfvCj1D5sKFC2vWrBH+zsnJsVgsPO+zD/jCLkZms1k4ZFlW/JvjOOGVokUYY47jogyGrjbTF3bqaZ6naVpU5WKEIAiaposW8fmIYoS9woqeybIswzAOh0PWCMZYrIUQstvtwoZLwutSIzzPi1vhFe2pWAshZLPZBM0uIhmGsVgsskakIoXzbTabcKZggct/NBDLshaLRRxJFyMsywq7SAnnCxuOKXGHeMgwDMZYWktszp07hF57gDl16LgdI0LfsFl9tedTAQAoswg7+EkXK+k6KezUJxaJi1XRM1H+iupSJKxO0kN3K6qH3CE1wnGcu4TorwTvcNBavU6QTOgNWjrPgYsr5e9v/XJ9yDPvNQ9b/xsqlOBNJtP58+eFv7VarTCsPpTL87xoUJoscT7uiliWfSEqYqiNO3zjRotq1WSNCDlVdICsEakSsTmpKuF1D0ak+Uk04mJfeF2cSS5GXP53Z0RIpWJbRe0LIoW6LMuKG0q6GJH22p0R4X8XI57dIS0SayHJ2wIP7nALvvtF12pjtwlT2Lp+RHTs3nVf8SMHfZ/BU1Un7Lj4SVs1Qgjx1z9/ou64bRYq5bV/Dg1cU7/z0pu8rsfXx6aYPv5w5daD1/hKjXqMm7/w5cbOLwC4zOOrln76247Dx09dzdVWqt/1uckfvNkrSVuMGgAA/Iu7jCCuSOKhh2VZ/L9okfIVVUnu4Nw/U9VPCZ7QajW00S50DttstEarJTyX8nc3frE19vn3G4ag667mmjRpsmLFCuHvqVOnhoWFibtQPzzZ2dkajUbcGzsvLy80NFT42+FwYIzF7QekRRzH2e32oKCgwU2bV9m6bbklt0NamqhKeqbdbidJUtxHWVrEMAzDMGKtjIwMvV4vNCe8OwsJCRGKbDabSqUSt0CWGhG+ORBrZWZmGgwGYUdkjuNsNltw/sZ3FotFp9OJWyC79BQhJNbKzs4OCgoSNLMsS9O0KNJsNhsMBuFNK8bYZDKJRqQiWZbNyckJCQkR9pZmGIZlWXHH5by8vJCQEPHDvdVqFUVarVaNRiPUomlaECloVuIOUaRerxdrmUymsLAwoTl37hDf98jA3bWGNkmJ2H8xmycMlRs1rdm2V7Oa/yVRKIPnM+49YBFSI4QsOz/6aKcZk9EDZ73T2vjjlHQOIVJ/++v+PY5ctGKEEMre9s2rPbNDTvz6TBzpOP/tMz3GrrtB578xu7hn5Yz9u/9bdfDHQbHwCwAABAqCIPR6vXSxki5xVqs1PDxcOJQuVsj9iupSZLFYHA6HaES6oiLFucNsNrMsKxjhOE6s7oKffoMnIuNj+fR04Zd1+n56dsX4GNJzKXvz0rXb2+aOfObp4VPWXL/157QRszZnloFrmUiSeFFD/W4IMebmBloL4B9UTd74dUGfSAIhQtvu3Q07tizuH1u5epKWQAjTxvtZPEKIv7587vLrHBHUesqswTGWowfPsAghPuequcmcv4/9d3brgp5xFEK88a9v1tzhLfveHTJu3Q3GkDb8k7+PXrx8cv2M9pEkZm/+OuvrM7DFAQAAvsBfF9mpa7dseH/7lit2zN3btfV8lZaNwgmEsDn98tUHNixXqmkxcfkvv/zyyy+/rJw3qGpi3znLZnSLKhufZF6qXw9jtOzsuUALAfwFf/fwoVscQlRKsyaRwrUj1ZITKYQQb7xn5PM/viN1rVfnv1KDYk4dOGrDCJEVe/9vw48TezSsmdZl0sznU1QIYS799u2L377z2VkH0jZ557fvJ/RslFK9Xq8pYzvrCYTYi6f/owPcWQAAygf+2g+eCGo26o1bSz97fYxdVbHZyxO7RRMIIfb0T9O/C5vx1Uu15UrLLHGRUc/YzZ+o9RPM5vD8r5qB8oT16IFTDEJkRJPmNYWYoaomJ6mI8yz/4L6Rd358J+OemTu5hR7xVw4dvsshRFV/furwqs5fRJBKrUIIISI83Lh6xX4LRshxeFodzbRCDZGhkeEUAgAAeHj8leARIoJTB09dPLjQa+qWb65qKfwpU5oPlfT0J0v9pss/vJ6SvOrWvYUHD83p3CnQWgCfw5w5cNSMEaFp0KKR80c1IrRa9WgS3eRz79/P2PnHRzvNKLTL9Pf7RhEImY4ePM0gROgbtajv/PkM8Q+OHLrGIUTFNKpx/+AZBiFCV6l+85Twwu9t1fW61YNr9AEA8AX+S/CPF5UiI0deufI/tX58dnZMRESg5QA+hU8/fOgGh5AquXmTCvkJmUpKSaLQTY6/d+CjWcuv85p6E+a9mEQihJjTB45YMUIE4rn8m1dM+xYt2WHFSFV96DM1897GCCEyfuinWz9uLaRz2pxldmBE6kIigsr011kAAJQa4Fn0PuPNenUxIuYdORJoIYCvsR87eIpBiNCk1KouviUmY6pXCyERYo5/89kuM5n43IevC5/u+duHDt/hEELYsvGj934/ffXigVVT+w1Zco7GVPzgWW+0qlqrZjiJEHfjt4VLt1+4c/v8ju/Gd6hSMapipfZzjsH+wwAA+Aj4BO8zYsIjXsXMUkr3ekZGWP6NDUA5gM+6c9eCEUK2P0cmtbm5c+fUeiqEkCopuSqFMhmapsmIXu+92835bbvl6MFTDEJkVFJl7uiiAfUWCVYIMrLNjN++eDKOJJ546532f7y+I/v2H290/uMNZ7Gh1rDPV89uGxKQLgIAUA6BT/C+5J0WzfUcN/vosUALAXwJGd/vtZdbVg7TqTSGmCZNUpzviqnE5GpaAiFE6Bq/8eGzic5YYk4fOGLBiNC1nvH7sje6pETqdSGxaZ1Gzt9w7J/3WocTCCF12vg/dv341sBWaZXCDCGx1Rs+MWremkMHfny+li5QfQQAoPwBn+B9SXhw8HgKz6X0Yx88qJf/RAKgzEMmDFj674AiF35SOp0aIUQljZw3vm7+lXH5N9SpazVrXqffC1v7LZCzSITUHbZgzTDZMgAAAJ8An+B9zJstm4dz7IKLlwItBPAjmHdknv/rvXl/5mKyYv9Z0zsWfLGef0NdZOOm1eF+NwAAAggkeB8TrDe8pSFX6UNOXL8WaC2AfzCtfipCXyGt78L9uahi7wWLnpI8Wla8oa5h8wZwHQYAAIEEErzvmdCqdTWHbez5i8VuUAaURZizh49bMKEKS2r17MK13z1fWRpEdltkiyefeurp0cPblZHnMAIAUF6B3+B9j0atmhMRMsTG/XLk8DNNmwVaDuBj1M1mHcuaoQoK0cl8BR/SccqPHR+9JgAAgCLAJ3i/0C01rYfN9Fa2yWyzBloL4GtIbXCobHYHAAAoRUCC9xdLGtTLVGnm/Ls/0EIAAACAxxFI8P4iJS7+Nd6xiNRcSr8baC0AAADAYwckeD/ybqtWUQwz9dzFQAsBAAAAHjsgwfuREINhXnjQ30Ehm86cCbQWAAAA4PECErx/ebZps1ZW07iM7ByzOdBaAAAAgMcISPD+hSCIb2un5lLUi3v2BloLAAAA8BgBCd7vJMXEfKRTr9OHLDtwINBaAAAAgMcFSPCPguebNh1iM71mcVy8eyfQWgAAAIDHAkjwj4iv2raJ4NhhJ84wLBtoLQAAAED5BxL8IyI8OHhF5fjj+qBFR44EWgsAAABQ/oEE/+hoXyv1dc4xT23Yce5coLUAAAAA5RxI8I+UuR07NLZZXryVnme2BFoLAAAAUJ6BBP9IUVHUNzWqZ1KqsXDXHACUAMfeBS8sOcwi9tj0Bu0XX+W9q82enNmkzcJL3EM17UPYQ1PquuuF4ubcdsp3goUmfGAIeLRAgn/UJEVHL9CrVuqDfzp0MNBaAODRw/NeZuVCsLcPbTx6r2QZ+iEp0jRH034U8vA99VowxvghmgNKH5DgA8ArrVsPspnH5tluGI2B1gIA/sFxbvmo1ikJ8XGJDZ5ccsSMEHtseoOWw19qkxQfE1Wl6/trV7/To15SfGzqoC/O0AghZLvw87iOtRJiE2q0Hvn1iTwh1RR+Mfu/L56bvi3r74mdZ+xiEGKurx3foXZSpfi0AUuOCfsys3e3zuzXICkuJrHRkwv2ZGKEEMJZ+z8a2igxJr5m25eWnbfLy3WpyN38tnf1vt/f4hEybR9fu8m7B0+KTW/bN6V+3/k/Tmyd3O+bu9yDbR/0b5ycWCmuUq0uk9ff5RFC2cv7pw4eP6xBfFRUfFrP6ZvucjJ9ySucS3FhO7fOS3paok5xF+QF8zLW2GPTG3aZNLNvSlxcbHztgf87alU8bkCpRhVoAY8p37RtVW/foREnTm1s2zrQWoASgk15KC830Cr8CxEbjyiqBBVz1syYemf4vqtjEu583qfVnN+fW/sUQszpcxW2nEpvfGtO28YvfPHh/oNXE/99rcmYH46M+rjZmflPTb7+0uaLY6rf+3lElyHvpZ5a3FZ1vPCLH6Se+nH2tuobnt82q/3Z6cyxP06+vvfkp1Fn32/3xJLto5f31lz7esSofU/8cer3OuaN47sOf73myWX9VNumD/9KM3vnjScjj8/u9cTPfJOiavmiFb9dMHr5gHfX9xh/YurOrh/ta14/RGz65BTHrm829lxz/KP6IRfmDvohZOq/1wbH5G54peUHy1/oMbUWQtz1v7Z3+ePovc7Ezrd7jJhY58SvT0WckOtgvgDu/LdTpXZWvrAvv7m2tz/vXoJOUTXHyAkOvSFjLRghes/aSyv23f4z6uz77bsu3vrSyn6cgnEDSjmQ4ANDRHDId5WiexhzFx089F6XzoGWA5QE/tB+dsvfgVbhXzTvzCLCwkpQESPEpp86cDq9f6NXN6W/ihBiryFV6oBhzcMIStcgLaJl6+GpegI1aJzi2G/G3KWNG/L6LxiVZiBQtaFvPj3/ufWn2FYhRV+c2VBsgkoaMrZfggqh1GZ11adMLOIzN6690O3tvxqEECik2+sjErpsPsb0YH79I3rUjiHVdRRqOWlSz88WFRXLpxetiPu9tnBgq+Fdhmmaz9/TPqRwBTK6z9iR9cNVCKW8tvG4KiKctGc8yGWQOc8kfDBXtx4z+Yk4NYm6TBvfsNZvW/OebCjTwbaNxL64sSOvTVGnZAXzd2Ss9WuHEFV18NgBCSqEUls20B/PcyD6oJdNAKUQSPAB44k6dcdv2Tpbre966WKrlBqBlgN4Ddmwibpy1UCr8C9EUFDJKkYM/vi7C2/NGlBzFJPcY/ScT2b0iEWI0Oq0CCFEEASpN+gJhDBBEAghxGcac2IS44XvCqj4yrHZBzN4npZ5saAJMjo2WigjSMHI/fT72X9NaNFQ5xQf1w0jOjPDWqlLgnBiUJWkGJnvI2QrIn3TF5+p8MlnzT57IopwqUDFJsQJdpgbf00Zv2DLTSq2RnWCxrFOA/qExIokQggRoVUqh2Q+yGblOiixKG/nYTolK1i+pwghsmJMBVI6mF43AZRCIMEHklmtW23fvXf41ZsnKyWEGAyBlgN4BxEZRURGBVpFKcX8wJb22s+H3scZp9dOfWrkzBZXv4z2cDoZUSHMeOceh2pQCHH3bj8Ii4okyBCZF6W1XPIuGRkVGfPkBwf/116DELLePnUJJ2s0eysG3715h0MpFEL0/fRMvqjLZCvirL/nL+Nbxv0574dJ7V5JKny5Eul8S3Hnx9en3Ry0/czYmgb+6uKO/R8Ixdh2504mRvEEwubbt/PCW4ZRch0Uzbmz8zCdcumiIFjWmnMwC4+mpoK3TQClD7jILpBoNZplNZLvqzXj9+wJtBYA8CW3VozoMGbVTUYTlZQca6AIwvVDcGGoGt27G9YtWn7Rjpibaxf9bOnaq75a9kWEOZqWvw6fTHyiZ4U/5n950sTz2ftmDey/9AyPNM37dLn1zdx1N2jedGzp4j+zeYRw9uUjx68XXOYmV9G8Z/bUEwM///O7V80Lp615IFzZVqRp2u5QVagUrUeccc93q0/ZGFYwyuz9YuF2I8cad3645EjbQV3DVbJ98WwHczTNl7hTsoJlrcki1wRQ1oAEH2BqxsXN05DLtMGrDh8OtBYA8Bm1Xp4/2ja/ZWKlKnVHHuv29ftdtZ7PVzeeumpu/E99alSq1nmx6q3fZrfXy76ordE4Zff4VlN20jJGqLSJKz+u9dfQtITKjcZdGPDDvO7BCIX1/mjVKPOctlUSm4y/2nd0Ow1C9M53O/f96CjrvmLHCwvf2NBqzpuNg9PGzR9wesYH201Ipmmy6rDpw+9Mblirfsthq+KHDCRXjJt7mEWIiOjUkVzYISmh/phTXb9e+kwsId9BT3ZOVROa25Ncwk7JCZYfIllkmgDKHLisMWXKFIvF4kODWVlZZrNZPMzNzRX/ttvtNptNtohlWWmtjIwMqSrpmTabzeFwyBbRNG2xWHie7/X3xvCtO05cuCA2x/N8Xl6eeKbVaqVpWtaIw+GQ1jIajXa7XRRpMpnEM81mM8uy7noqrWU0GkXNDMNIu2YymTiOE5uTGpGKZBjGaDQyDCP21Gq1SpvmeV74m+M4qUiLxSLWcjgcRqNR1KzcHSaTSVrLaDSKzblzx5w5c/bs2YOBxwPrnzNnH2T8ZDxrWZ/EUZscxZ/oY/zaqceETZs2LV682GWxEv+2Wq0ZGRnioXSxwu5XVJcis9mcmZkpHkpXVKw4d5hMpuzsbOFvlmUnTJgg2x34BB94CIL4vnULLY/HXbrCcQF5hAcAPE5wlzbfaDC0Ufm6Aqlcdgp4OCDBlwqiw8KXxUXtM4QsOQiPtwMAP0Ol9B/XL9lvqTC4y7vLxjdWF3+iT/Fzp4CySNmbDjzP22y24q7Z8QLhKw6bzSYcchwn/i1+zVu0iOd5aS2MMcMw7owQBCF+NJcWcRwnHrZPThl9a8dMXUi7c+caJyW5nMkwDMdxbP5e8i5GpCIRQjRNC48DdRHJsqzD4RCHzkUkyn+IqPA/TdOCZp7nXZqz2+2CEYyxO5GCEYfDwTCMUEv6hFKhlqwRYczFWgghu91OkqRX7mBZVlpLMFKsOwDAJ6grNelUKdAigJIirj8CLkscQkh2sULuV9SiRcLX7+KhuKIWPdPdYsWyrJAKUZHVVUrZS/AEQahUKpXKl8pJkhQNSv8W0olsEc/zPM+LhwRBuDPC87y7IqEJ8fDdRo32HT814uadw4kJQVqd0FOhiOM4iqLcGRGVCMlPPFPIzeKZLMtSFCWkvaI9RQiJtaSlwhsI8UyGYUQjGGOapmVFCpOSoihK8hw06XCpVCphTgu52cWIUEtUJTan0B0Mw0hrCUrE5jy4AwCAxxyXxdxlHUaSdUy6WCH3K6pLkZD7XRYrMcG7LGvS1qVFwm//wiFBEO4+8Za9pY0gCLVarVb77AswwZ2iQcG+8LdwZZZskfBRVSqDoih3Z7qzjxCS2lerVMtSktrcSJ/874GvnujqcDjEIiEFyhrBGIuHYjITDjmOYxhGPFNIxuJ0dOkpQkishRASmyMIgud58UxBlZg7pV2TihQmnMtbMfFMoZaYcaUihekufb8ialbuDofDIa0lNC0059kdAAAA0sXcZYlDknVMulgh9yuqSxFN09JDYbESP3cpzB0Oh0NclkmSdJfg4Tf40kVaQuJsNfpGG/Tb0SOB1gIAAACUYSDBlzomtW3b02oal21Oz84OtBYAAACgrAIJvtRBEMT3LZuTCL96+iyG/ZkBAACAEgEJvjQSExHxfXTkdkPIIniELQAAAFAiIMGXUnrWqz/Kbp7GEsevXQu0FgAAAKDsAQm+9DKnedMUh23Yhcs2hyPQWgAAAIAyBiT40otOrVleK/mKVvfmrl2B1gIAAACUMSDBl2oaJVX7gOS/UBs2nD0TaC0AAABAWQISfGnnrbbtOtrMr2Sb72VnBVoLAAQax94FLyw5zCL22PQG7Rdf9XKTcvbkzCZtFl4q2Y5O+U37EPbQlLrueqG4Obed8p3gEo5b6R4xX8oqrUCCL+2QJLG8WVMeoZFHjvE83DUHlHXcPTZbGeztQxuP3gvInotFmuZo2o9CHr6nXgv29W25ZW7Eyh2Q4MsACRWivo0M+UcfMnfXzkBrAQBlOM4tH9U6JSE+LrHBk0uOmBFij01v0HL4S22S4mOiqnR9f+3qd3rUS4qPTR30xRkaIYRsF34e17FWQmxCjdYjvz6RJ6Sawi9m//fFc9O3Zf09sfOMXQxCzPW14zvUTqoUnzZgyTErQggh9u7Wmf0aJMXFJDZ6csGeTIwQQjhr/0dDGyXGxNds+9Ky83Z5uS4VuZvf9q7e9/tbPEKm7eNrN3n34Emx6W37ptTvO//Hia2T+31zl3uw7YP+jZMTK8VVqtVl8vq7PEIoe3n/1MHjhzWIj4qKT+s5fdNdTqYveYVzKS5s59Z5SU9L1CnugrxgXsYae2x6wy6TZvZNiYuLja898H9HrQqaKHcjVi6R3SW+NDNlyhSLxeJDg1lZWWazWTzMzc0V/7bb7TabTbaIZVlprYyMDKkq6Zk2m83hcMgW0TQtrWU0GsXmeJ7Py8sTi6xW68TNW6jte/45c8bFiMPhkNYyGo12u10UaTKZxDPNZrO4IVvRnkprGY1GUTPDMFKRJpNJ3L+O53mpEavVStO0WMtoNAo7Igg9tVqt0qaFB8tjjDmOk4q0WCxiLYfDYTQaRc3K3WEymaS1jEaj2Jw7d8yZM2fPnj3YG7IZ5orVVr7/Mfnj5i3ZPw2M6/75VQemr37WLbb/iiyeOTotLajhlH05vP30rKaa0I4fn7Xyef+MrZHy+j4aM8fea5DQ67OzFt5+ZeVTSSkTd9uw3IvmXwbFPPunHTNHp6VpqwxffYvB1hMzm0Q/95cNY+7qZ10rd1l4PI9n7v49pnbl537P5rFp65hqycN/vmxjsv59r2WwpvmCi6yrWpmK9Nn5bWqM+OPusfeb1Z2wIw9jLDZ9cHLN0OpPfXEim8Hs2TlNqw5ffZfBXMbfL6U0n3uexThrWW+dpva4jXdpOn3LxAbxT/7ygHfTwYOT67RbdIWTs5PfXIk7JStY1hpzdFqapvIzvwqD2bTisN+tuJgmysGIyc7bTZs2LV682GWxEv+2Wq0ZGRnioXSxwu5XVJcis9mcmZkpHkpXVKw4d5hMpuzsbOFvlmUnTJgg252yt9nMY8vcdm0P7dg17A5zPC42SAX7owSeT++kz7h2M9Aq/Mvtlk0raTUlqIgRYtNPHTid3r/Rq5vSX0UIsdeQKnXAsOZhBKVrkBbRsvXwVD2BGjROcew3Y+7Sxg15/ReMSjMQqNrQN5+e/9z6U2yrkKIvzmwoNkElDRnbL0GFUGqzuupTJhbxmRvXXuj29l8NQggU0u31EQldNh9jejC//hE9aseQ6joKtZw0qedni4qK5dOLVsT9Xls4sNXwLsM0zefvaR9SuAIZ3WfsyPrhKoRSXtt4XBURTtozHuQyyJxnEj5mqluPmfxEnJpEXaaNb1jrt615TzaU6WDbRmJf3NiR16aoU7KC+Tsy1vq1Q4iqOnjsgAQVQqktG+iP5zkQfdBTE+V/xMoHkODLDCqK+qVJw0Ynzw47eHhNi+aBlgOgYTEVW4SGFH9eWaaCuoRLRMTgj7+78NasATVHMck9Rs/5ZEaPWIQIrU6LkLCDo96gJxDCzm2w+ExjTkxivLDRIRVfOTb7YAbP0zIvFjRBRsdGC2UEKRi5n34/+68JLRrqhBOIuG4Y0ZkZ1kpdEoQTg6okxRRsXywiWxHpm774TIVPPmv22RNRrlt1UbEJcYId5sZfU8Yv2HKTiq1RnaBxrNOAPiGxIokQQkRolcohmQ+yWbkOSizK23mYTskKlu8pQoisGFOBlA6m5ybK/4iVDyDBlyUqV4xeVjG9b5ZpyZGjM7t2CbScx50knS5Jpwu0ilKK+YEt7bWfD72PM06vnfrUyJktrn4Z7eF0MqJCmPHOPQ7VoBDi7t1+EBYVSZAhMi9Ka7lkETIyKjLmyQ8O/q+9BiFkvX3qEk7WaPZWDL578w6HUiiE6PvpmXxU0dblKuKsv+cv41vG/Tnvh0ntXkkqfLkS6XxLcefH16fdHLT9zNiaBv7q4o79HwjF2HbnTiZG8QTC5tu388JbhlFyHRTNubPzMJ1y6aIgWNaaczALj6amgqcmHoMRKxfARXZljN71609k7bNUup4bN606fNhOw0PugNLIrRUjOoxZdZPRRCUlxxood/tV50PV6N7dsG7R8ot2xNxcu+hnS9de9dWyLyLM0bT8dfhk4hM9K/wx/8uTJp7P3jdrYP+lZ3ikad6ny61v5q67QfOmY0sX/5nNI4SzLx85fr3goi25iuY9s6eeGPj5n9+9al44bc0D4TqtIk3TdoeqQqVoPeKMe75bfcrGsIJRZu8XC7cbOda488MlR9oO6hquku2LZzuYo2m+xJ2SFSxrTRa5JjzbKXMj9hgACb7ssaBTx/mYSUfE0xY6bvf+sdt3bDhz+lL6XZaDG0SA0kKtl+ePts1vmVipSt2Rx7p9/X5Xrefz1Y2nrpob/1OfGpWqdV6seuu3o4vWKAAAIABJREFU2e31si9qazRO2T2+1ZSdtIwRKm3iyo9r/TU0LaFyo3EXBvwwr3swQmG9P1o1yjynbZXEJuOv9h3dToMQvfPdzn0/Osq6r9jxwsI3NrSa82bj4LRx8wecnvHBdhOSaZqsOmz68DuTG9aq33LYqvghA8kV4+YeZhEiIjp1JBd2SEqoP+ZU16+XPhNLyHfQk51T1YTm9iSXsFNyguWHSBaZJjwNdRkcsccB2UvvSjOP7VX04gXqopGT169P2rI1dvM2tGMv2rFXvW13jY1beq3/e9LmzV/s3bvt7Jnr9+7DVfT+u4oeKLtY/5w5+yBT/HklImtZn8RRmxzFn+hj/NopvxKoESsKXEUPlBbqVamyqEqVuXbH5Xt3r+fm/ZeTe4nAFxCxGlO3GYQe5KAHOdLzSYw720yza6Y0q54cKM0AEHi4S5tvNBjao3ytfuWyU8DDAbOhzEOSRHJsXJ2qSb0RwhhnZmaGhIRwGF9IT7+QYbyeZ8KU84JRG8f8RKlb3LzX++Ll2WmpVSMiAqscAAIDldJ/XIr/zAd3eXdZo6qP+k5WP3fKrwRmxB4DIMGXTww6XcOkpHqVK9tstuBg569sFovlHZVq1fHj79PqBldvDbCem1O/bq2EhMBKBYByhrpSk06VAi2iTAEj5ifgIrvHC7VKNaJFiwud2n+uIf5Va2tfuj544+bL6emB1gUAAAD4GEjwjyMateqV1q1PNqr3EcXvVmnSzl8eu2NnehbsVgcAAFB+gAT/+KLTaCa1a3e1TfP3Se7/VNqa/11+afOWe9nZgdYFAAAA+ABI8I87wXrD1A4dzjeoM561/6zWJR87PXX7jjyrNdC6AAAAgIcCEjyAEEKRISGz27W71rjeq5hZSmmbXLwya/fuPLMl0LoAAACAEgIJHiggOix8QZfO59KS+9P2eZSu+v5DH+7caXPA03ABAADKHpDgAVcqV4xe0KzpiWoJXTh6Olal7jvw/ZHDDMsWXxMAAAAoNUCCB+RJiYv/pXu349USG7PMeI6qtW3n8oMHOHjcPQAAQBkBEjzgiXpVqqx5osvB+IoNeW6Ejauzddsvx4/zPC6+JgAAABBQ4El2QPHUTkz8v5o1d/13fvpV08sc+deWLT91aB9iMARal4+5f//+2bNnA60CAICAkZmZGWgJvgQSPKCU9rVS99RK/fHff8dyhha79/1ev3ZybFygRfkMg8Fw+vTp06dPB1oIAACBJD4+PtASfAYkeMA7BtarVz/D2P/C1RZnL/yckdGyStVAK/IN48aNs1qtLMvq9c5dp81mc1BQEEEQCCGHw2E2m6OiooQim82mUqnUaufuGCaTKSQkRPhb2DBXq9UWLbLZbDabLTIyUji0Wq1arZbK3wpIeqbD4UAIyRoR9uQNDw8XDi0Wi16vJ0kSISTsRCmeabfbKYqSFWk2mzmOCwsLK1rE87zNZgsKChI1q9VqlUpV9Exhk9/Q0NCiRRzHORwOQ/53PBaLRafTyfY0Ly+PJElxuwRpEcMwHMfpdLqi7hB26hRr5eTkqNVqUbNCd7iIzM7O1ul0ovcVuoNlWYZhxFqZmZlBQUGCZheRHtxB0zTP82KtrKys4OBgoTnl7pCK5Hk+Ozs7JCREo9F45Q6Hw0EQhFCLZdnc3NzQ0FBBs3J3SKODYZi8vLzw8HChOeXukEaHEH0RERHCPFfuDml0CEYiIyMFzR7cgXH5+QkSEjzgNXUrVzkUETlk3/5eGXlzjIcnd+ocaEU+QKVS6fV66eogJHthOSAIQpr7McZqtVpcHaS1KIoSF2uXImGHZvFQOE1cZ6VnEgRBEIS4hEmLeJ4nSVI85DhOmuClIoVOyYpkWVaoKGtfKhJjrNFoxIwiPVPYCVvWCMdxBEG4iJTtKU3T0u5Ii1QqlbQ7UndgjKX67Xa7Wq2WNeLBHS4ibTabNMErdAfLshRFiYc6nU404iLSgzsoihLPxBjr8vHKHcIckL4t0Ov1YoJX6A6CIEiSFBO8w+HQ6/WCZuXukEaHSqWiaVpsTrk7pNFBkqTQnNBH5e6QRocYwoJmD+6gabrcXE3svwSPs4///NkP2y7kaiu3fHrsqHbxquJKseXi+i++/OO0kVFH1+s/ekyvGgbCb/KAh6JiWNjWbl0nbNs2RRN0dtPmrzt10Gm0gRYFAAAAFOCvq+ix5eCyTw/EvLj4hy/fbHjz+y+3PsDFlXJX1326QfPkvG9//G5OD3rN0nVXy8mbqHKKiqI+7dr1GxW/WmNouW3njQcPAq0IAAAAKMCbBM8c+P7jzTfzH2uGTed+ffezPYybc88eOB7dtW/9MJW+es+eqdf2H8vBnkuxzWiJaPdEswpqQhXduGFC5t0HkOBLP0Pq1f8nIfoepW5x4syhq1cDLQcAAABw4s1X9FTVauyEIR1XDP3w3U73v5s8Z1fsyEUL5Q3grLv3yPh2UQRCCGnjEyKNd+/zKILyUErUajH6/RaIy7t76dqFndszGvSqqc43x7KsNX/7E+FHKZ9fByE1KP4t/KG8SPZMD0UejCi3X/T8R2ZE+L9VSo2DEZGDDh/rdj9rac6hUa1aKTSifBB8YsSrQVBu3x9GPBc9fE9ljZRA5KM34q7Ir0Y86Pf5xFMy5/1nRLaWByPKB8GHRhQOgjsjXo2kcvvKjRQ9VOIOD0ZcXpRCeCiTA2dsGd++/+cXtK1nb9s0pZG7O6H5G7++Odc06vNRaRRCfPq6KdPvDftqTH1VsaU47/DyRasPXjNVefrtid2TnNdibN++/e233xb+rl279uzZs6WXrgClAZpl3jh6fFVQ2CvW3PcaN1blX8IDAAAA+A+O42bPnr106dKiRd58gudvrp/68vS9lcZuu94t98e3R3d5bvhHH49vVVHmSjhCq9XQRrvw3gHbbLRGqyWUlBKhTUfMbPp89o55E7/cVH9e/zgCIYRq1ar1zjvvCGfs3LkzKCjI4LunrFitVoqixGsy7Xa7eJEny7IYY/FKS2kRz/MMw4i1zGazRqMRrj51OZNhGIIgxAtfpUUcx3EcJ9Yym81arVZoDmPscDikRkiSFC989SDSbDbrdDqhOReRDodDrVYL15QWNYIQEmtZrVapEZZlRZEOh0Oj0YhXz0pFft2ubetjxybpQ88cPb6yYf0gtdpgMAjNcRzH87x0JLVarWiEpmlRJE3TKpVKqMWyrN1uF40od4e0p4IR8R4e5e6QimQYxuFwiEZomqYoSok7pEU0TdM0LRrx4A4PIh0OB8dx4vz34A4Pc8Zut/M8LxqRFnlwR1EjWHKBt0J3uJxps9kIgpDalLrDw5yR9tQnIWyxWNRqtbch7BIdDx/CGGOLxSI1otAd0hAWjJRgHZD2lOM44VJ8QbNyd0ijQzDikxAW78pT7g5pdAghLDWicEV1GR+apsW7FhW6AxUJYZZlRSNSkR7cUdQIz/NC9HEcJ2pwwZsEzz0wVZu+aU6birY8e/C0Ne2G/P7xtgtsq4rqoqcSkfGx/OH0HIwqEIi+n55dsXYM6bmUu7Ju/vqwUeM7RROICK1aNSInI5tHcRRCCMXHxw8cOFCofPjwYfEeEp8g3LUpnZ3SQcQYyxZxHCctslgs7owghMQ7T1yKGIZhGEZ6a6larRZvh2VZVrrsSm/qkBpxuYlWMCLEiRCTUs3SG69deory77HhOM5qtYrvV4SZKp24Wq1WvC9Lqh9jPLpVq5Tz/z19n+146uyK+JjmqanC7GQYRtodoWlhTvM8L72/lud58UYgmqaFdUS8HVahOwSRYi3pYqTcHcLfYi3pEiasdMW6w6VIWMKUuAMhJL0RyKWnUvue3eFuzjAMI/Wpi0h37ija0xK4AxWZeCRJyhpxmTNSd7hEh81moyhK1ogHd7iItFqtHkLYnTtcosNsNotGvAphccyF3CyuA8rd4XIfvMViEUNYuTuQJDpYlrXZbBqNRryjXaE7pNHBMIzNZhObU+4OaXSIISymMYXukEYHyg9hUbMSd7gUCe+3vHVH0Z5K7buIVJg7hHchwqFwhyGSw6ur6JPqJpxaPLxVUtWXNtIIGVL6z3iljUx2Rwghde2WDe9v33LFjrl7u7aer9KyUTiBEDanX776wIblSsmKkeSxDZsvmDHic89sO5iTnJoIT8ovg3SrV/dA7RQtz3d/kPX7iROBlgMAAPCYouQTvD398PqfV6xc+dumU6aKTXs+Oenr5ztqiqlDBDUb9catpZ+9Psauqtjs5YndogmEEHv6p+nfhc346qXaMqWhbUe+enXpkleftZD6irV7vPlSqxC4Db5sUiO+0r6gkGf37B1CUjO2b5/ZsWOgFQEAADx2eEjw2HJ977qfVqz8ac3O28H1O/Ue+vGWNX3bVAtR+LGaCE4dPHXx4EKvqVu+uaql8KdMKVmx+QsfNH/BG/lAaSU0yLCsedNvzpyZTmiObtyyvFULg7a4d4UAAACA75DP1rZLa6f1TatUo8c7a45dvmOPrt+571MvjHiyneLsDgCIIIi327ZdFaLdqdV32H/w2n14Eg4AAMCjQy5hs0dmDxi9JXb8mvPp148duXD90P/6kFsmt6+W1PLZ938+mO6QqQIAbhjSpOmeaol5JNn20tVtsBkrAADAo0IuwfPGDPLJ2UvHdK4eQiJERdTu//a3uy5f3b2wG//36+2rJTV/7ruz7CNXCpRZGiYl/du4fhrj6P4ge8mePYGWAwAA8Fggl+A1Pb489Xk3l61D1DFNnpn506FrlzZ/0J6+eZd/JOqA8kJ0WPiGdm0mcY6JHPnMpk02mg60IgAAgHKO/EV27q9e1ye2G7Wgnb/UAOUYFUUt6NK52r59E3DQ1UNH1jRvUimqQqBFAQAAlFvgojngkfJK69b/xFW8rtI0PXrq4KXLgZYDAABQboEEDzxq2taqtbNG9Uos0/5W+vcHDgRaDgAAQPkEEjwQAOIjI3Z3bj+Eto60c6O3bmU52BkYAADAx8j/Bn9m57b7HpZcKqZzhzp+EgQ8Jug02uXdnqi1a+cMTdC5fftHRIT2qlkzPjIq0LoAAADKCfIJfsGT/dfZhT952mqjeUwQFEXyHIdRUFyNWs/8d+SjRygSKJ8QBPFOh471T56Yftc62s6jk+cb2S09VFTvKpWbpaS42z4BAAAAUIL8V/Q/Gk0mk8n0/+zdd2DU5P8H8CfJ7e5BC2WUpWwoFMqQKTLdA/3CVxyIW0QFFVQcXxRx7z1QQVHEn+IAFFmy9yxQoEAZLeU6bt9lPr8/QmPIpWlyHUfbz+uvuz7J597JkyfP3fXu4nXv/3Bs83bXvbo0t8gXYkLu/DXvjmtp7fLQg3WcEjRgY7p1XzdowKlunT6ykhkIv0Va+hU6M1asnrT8zyV79gToULQDAgBAvaR5sRlu+0dzNg1969DjY8QrWMe1GTLly3f2d57yIbrjtTqJBxqL5qkp96YOuBehMlf5xhMnlhb7lxLUPD9jzTs+aO/+q2Jjrmp/SYvkpGjHBACAekNzgufPnjlnT0++4CdvrAmJ9pKi2g0FGjGbxTq6a7erskwIoV35+b/l56/AaBpHPJKX3ykUGEPiq1u2HHjppaaKq1kDAABQpfkpenO3nG5F3738yR73+R+uE9x7P315wZnuOXURDTR6XVq2fKBXrzWjRpzN7r7AYeomcF8SlmHFZWmr1t2ybPmPe/eWeDzRzggAABcpzVfwZJu73n7xjzGP9m77Xk6fjqnIeXDbthOWy19ZOqmu4gGAEEKp8fH/zel7E02zHLf95Mk/zpz5g6AWccS9O/b2C/qvdFivzGzdLq1JtGMCAMBFRHOCR8iR9cgfucOX/rR828HjxfQlva+bef3NY7smw7ujIDpMFDW0U6ehnTq9htD+Y/krzxT+QeAXBOqpgjPxx05QFZdIwBf+3LL8rkaTxpIYIXTh3TjMp/BcKsbJBGpKEI/2zGqdnl5DWwkAADWgigkeIUQ6MrKG39j5cnz+fvmJfHdsuzZwLgNR1iq1ydS27aYi5AsG/jxw4KArRJnPP/XkeZ4kSfGLdoIg8BxnNptRxV0CIYI8/88pnuMo0/lRgAUBY0xW/Hef5ziKopC8iMUiNrEcX4b5cgKVYnQKob8py2f7857IPTBj4ABS40oOAABQh7QneOHkj5NH3fnVIT++4M+2cTi4qDZTAWBArN1xXVbP0aFQTEyM+Befz2e32ymKQgjRNO31elNSUsT5PhQKkSRpqZiqPR5PfHy8eJtlWZZlHQ6HeNfr9cbGxkpr+Xy+1NTzV8cJBAJms9lsNot3TxcVvbJv30tmxxer178Qa5uQnV1HWw4AAJXT/JAdt+OjZxdZbv9h96lzJXJnvqyreADUA/ExMe+NHLm9TYu2AncXi65buSbvzOlohwIANHaar+CZ40eLetz22I09WsBP1gNQhR6tW6/JzFywZfMMxtz98PFHDubNuqx/tEMBABovzZnblNGyyak9+8qx1kIAgPMIgrilV/aenF5TeeZtytJh3aaf9+3DGAYQACAKNF/Bm7vf9dTwm6eMmnRwynXZmYnWik8PkU2GDOpcB+EAqI9ibfZXrxh+15nTU/fsv4O1fbn8r/c6d+yemRntXACAxkX7LfoVLz684HAIHX528gL53203sd6FtZsLgHquQ/MWy5u3+GHz5hm0KfvYqfvy8p7u2dNMwn+7AAB1RPN0Y71xoZdVAbM7APqM6dw57/Ihr1LCV5S18579n+/aJQjwjj0AoC5U/XqCL93z62dvvPTSolzWX5B71MXVQSoAGg6L2fTo4MEHenQZw9AzTPY+f67YcDgv2qEAAA1fFRM8c+iTG3r0nfDMa6/NWXyQLf7p3q6tet296BhbN+EAaDBapqZ+NnTwkhhziCAGnXFOXPan0+2OdigAQEOmOcHj4oVPztw7bP7B/I/GOghEtX3k942zW/1x79QFWmsBACpxWdt2u4YPe5nkl5htPXMPL9y+LdqJAAANluYEz+5atyVt3EPXtzRXLJ3Y68Hnbm+2eW0dJAOgQbKYTU8OGXIwq+tgNjgxyD/+9988z0c7FACgAdJ+i56iKDoYFOR/4v2+oMVa2QoAAD2ap6Z8O3jQS5h5k7KN/XOFy+eLdiIAQEOjfT34PleOYH548e2tZTxCCGHBc3DRtMe+YUddXTfhAGjACIJ4cvDg31LitlhsvddvyissjHYiAECDovk9eCLx6le/mnTdhMsyPSRv+btdqvdsMH3krIWvX1lX8QBo4MZ277Hh5MlrD+SNOH32/wT+8s5dop0IANBAVHG5WCJtxNz1+fdu37zjQIGLSm2XPXBg5yZm7XUAAEZ0adVqW3LStf9sGHu27Ev/1gl9cqKdCADQEGhO8P41L076o8vbr1yfM7INnHMAqDVJsXE/5fSesm3HrQRxaNWqpwYMiHYiAEC9p/k/eFsz25kfF29ywy9vAVDbrBbLwtEjp/P0bNI6bc1a+ME7AEA1ab6CJ1uMnzNt+8xxD56466qeLRIsFc8GyNTL+neog3AANCoEQbx6xfC0tf88aY05u3r1t1dcboNvrAAAIkVoXcuSXnxz4rgfQ2F/t43DwUW1mUrLE088MX36dLvdXlMFGYYhSdJkOv9ch2VZs/n8xwzELyhTFBXehDHmeV5ai6ZpiqIqK0IQBFlxlRF5kyAIgiDIi5jNZtUltYtgjKWQ8iKKkBzHURRFEIR2EYwxwzDyIoIgSPXlRTDGHMfJQ5IkKTUxDGOxWMS7ipAsy5pMJmlJeUh5EUEQWJaViujvDnl9sYjVajXaHYr9z3GcVITjOJIk9XSHvInjOJ7n5UUq646f9uy5j8F9Qr6FvbISYmIVRQRBsFgserqjsi1lWRZjLBXR2JPy7oi4iMaWsixLEITqPtfYk4q7GkNYo4giJMMwFEWpLql94MlHB03TJpNJGkeKPal/CEdQRN4UPoR1doe8iDhwpCKKkBzHSQVR2HEujQ7FENbfHfKQ4ujTeR6o7GQVXkRnd2icB7SLIIRUm8KHcGV7UqM+x3EYY/Euz/PPPvvsu+++i8Lh+mbGjBl+v78GC5aVlfl8Pumu2+2WbodCoWAwqNrEcZx8rZKSEnkq+ZLBYJCmadUmhmHkazmdTunhBEHweDxSUyAQYBhGtQhN0/K1nE5nKBSSQnq9XmlJn88nHhaqWypfy+l0SplZlpWH9Hq9PM9LDycvIg/JsqzT6RTnAHFLA4GA/KHFUYQx5nleHtLv90tr0TTtdDqlzPq7w+v1ytdyOp3Sw+nvDo/HI1/L6XTKQ+rpDkWT3+8vKSmR7mp0RzAY/GvvnsQVqzst++tEcbG8yefzlZWVybdUT3co6ns8nvLyctUmje5QLOl2u10ul2qTRncolnS5XPLjXNEd8mNG3h2K0VFWVibPrLM7FCFLS0s1hrA0OhRNitHhdDqlzIaGsHwt+XlAf3fIhzDP8/IhrL875KNDHMJSZv3dIR8dDMPIh7D+7pCPDnEIS8e5/u6Qjw5xCEuZdXaHoikQCMiHsM7uUDT5fL7S0lLVkFj33OH1eqUhzHHc1KlTsRrtX7JbP2fcnPUX/vA8Lvlt5sR3tNYCAFTb4Es7rLu0jY8k++3ev+/0qWjHAQDUP+r/g8funT/MW32G3rvojz15b1q3yJbiTi+fv6z5y3UUD4DGq2urzE2O2Cu37RhdVPIjv3d0t+7RTgQAqE8qmeADR9f9+stepvQM62R+++UY8W8TQdqGzLy3jtIB0Lg1T01ZM2jANf+sv7aE/HLrlv/m9I12IgBAvaE+wZPNbv5g1c2IWTlz9N9XLH95uKWOUwEAzkuMjf0pp/dD27ZPRETeqlVP9oU5HgCgi+b/4C3DX1717CU7/9h0UkCIOfbLc7ff9J/75i4tYOoqHQAAIavF8v3oUdP40GzS+sS6dfAVeQCAHtpXk+Ny3xqTNejOL3I54dink2/7YC9P5H18y9X/215H6QAACCGECIJ47YorXiW4j6yxd2/eQjPwLBsAUAXtT9Fv//rj3IGf7vxkjOn0H4u3dZy+cPHC3z/+T/nCBXUVDwDwr8eHDPnKRi21x45cuRquMAsA0KY5wQvFhSXNe2U3pbB7/eq9rUeNak8hW/OWqa7SuooHALjAjd27/5Rg32O2Dli/qeDcuWjHAQBcvDQneFO7DpkFa/8+Un7km3mrEoeP7GJC3Ik1a4+nt6yreAAApQFt262/tI2XIPvt3r/vFHxFHgCgTnOCp7rc89xNhc90S+302NbuD93Tj9w9d3CfaTt73juxruIBAFR0bZW5vme3JIEfc6Z49cED0Y4DALgYaX/Ijki/9tMdhzav/HvL/uWPdTaTKX3ve+/PHUundqqjdACASmSmpW0Y2K8rHbqyuPz7bduiHQcAcNGp8qdqX97drPfQYb1bOhBCZMtht03olvs/+KlaAC4CSbFxS/rnXEv7J/joZ1etinYcAMDFBX6qFoB6zGqxfDdyRMtVq2eb7eUrVsyGn7oDAFSAn6oFoH4jCOL1EVc0Wbt2ptlRtHHj/OGX261wFXkAAPxULQANwpNDhjTfsmUyjh20as0vfXq3SE2JdiIAQJSpT/AF+/YGU9t3bNr7vndSXQf37FE0k4k9umXWfjYAgAH/zclpnZs7/gzTa9feRS2a9m3dOtqJAADRpD7BP57Ta9dD6w+8ePrxnHE/hsKabeNwcFFtJwMAGNW9VavNTZvdsG376KKSt0tK7urXL9qJAABRoz7Bf+cOCKTZbMr5zh2aH35hC4Kq7VgAgMg0T01ZO3zo5JWr7yfjfl3x97WJCVdd2qE5vGMPQOOj/jU5k8ViMREIkSaL1eQ79Oc377/++pKjJHf26KkgZbVa1J8WAAAuBjaLdcGY0e+S/DmCvJ8WWu47mL3sr1c3b9men48xXIkOgMaiiqmaOfTJuCumrmQTTb7BHR7tffLers97Jn7+y4c3tzXXTT4AQGQm9+lzn8nk9Hp+P5T3Rwi/TdleOnU2I//EWMyPTEoY1LpNtAMCAGqX5g/d4OKFT87cO2z+wfyPxjoIRLV95PeNs1v9ce9UuJocAPVDRnLKPQMGLBkz6lhW56XJcdcg4S9E3hzg2u47NHbZ8g83rD/phCvWANAwab6CZ3et25I2bsn1Lc2/iX8gE3s9+Nztn4xdi9CddZEOAFBDbGbLmO7dx3RHCKHNBw4uO3PmT0xMYdCDuUe6B31XWczXtGrVp127aMcEANQY7bfoKYqig0FB/ife7wta4Gc0AKjHurRs0TGj2QuJicXl5X/k5f3u599H1jlnitNOnLySZwfEOlolJjaJiU2JjXGYzBYL/A4GAPWS5gRv7nPlCGbyi29PnN8WIYSw4Dm4+KnHvmFHfVs34QAAtSo9KWlSv343eTw2u2Nt3sFfC4v+IKh5HIlKPKjEo6eCQ+CtvIAQwgjJfvHygrsYoXiB0/jujRnjWIwRQhhjgvh3PYwQgQiEUBzGFMKV1ScxjkOIIM//wxELgnTbjrCVIKSagsCTJGVGKJaiEMYWhLsmJnZq0qRjRoaejQWgftGc4InEq1/9atJ1Ey7L9JC85e92qd6zwfSRsxa+fmVdxQMA1AWL2TSia7cRXbu9Iwiniov9PO/0ecsCgbN+PyJIaYJ00yGBPD9T8xyHETaZzOIneXiOo0znzycYY17gvRUzMs/zFEkiQrrLUZQJIeQVBIbnECJIkhSna0EQyIr6tID9uGIlAmEBS9M2QggLgocgxK8EcAi5CIKo+IIARojBOEBUzPcYERVfHWAR5TsfFyOEyiiz288g/xnq+Ok2dHAQ5q9vlj6ic2cbvEkJGoQqPkVPpI2Yuz7/3u2bdxwocFGp7bIHDuzcBJ8tRAie8ALQMKXExWXGxoq3A4GAxWIxVczcHo8nPj5euo0xTkhICG/ieT4UCsXExIh3fT6f3W6nKCp8SbfbTZJkXFxceBPLshxmlU9FAAAgAElEQVTH2e128a7X642NjRWfamCMfT6ftFZ5ebnZbI6tyCwvwjCMIAg2m62ykK5g6MDZwgPlrr1B7m/KPM8ViF23eSQTvDo+dkJOP4sZvhIM6jHtD9lt+GZBwk13dm2TM7JNDkIIIeb0qtfHP/wa3l/8fZ3EAwCAWtQ8NaV5asoIhMrKymw228Giol8KTiwhyDtZ4unVa6daTfdl97aY4Ke9QL2k/TU57z9Pjbzx7V0+hM7P7b26jJy9r9vjD9RNOAAAqEvZ7drNvnz43tEjN6QlDeK5pwUqc/O2Wf+sO+d2RzsaAIZpTvCWUW/8MoV+efTVT3348vheXUbO3t991l+5OxdOH1xX8QAAIAq6tmjx/ZhReZ3aTRCYD03WzvsOzlq10hcMRDsXAAZoTvCISOg789flM23zHn5mdcb0P3N3fDf98hbwnRkAQKPQtmmzD0aOzOva8TY29Cphabt+y3vr17McF+1cAOiiPsEHPG4J3/bOLxe/NIzYv2H36XLxTx54GgsAaCxS4+PfHDY0t2P7oRw9lUX9tu5culd5DW0ALkLqH7K7Iz1R5Sqx0/s3nY4QgsvFAgAanfbNmi1q1mxb/tFH8o5eWea7cdmf7/TpnZ6YEO1cAFRKfYJ/e++h2YJqC0IIITKultIAAMDFrE+79ktTm/x88ODjrKXDntynSH5K797RDgWAOvUJPuOSDtJtzLjPnnUz8qtMEvBveABAI0UQxB39+o11u6Zt3PKMLWb5ug3Lhg2Jqfi+PgAXD+0P2QknF93ZJTm5eWZma7kO8DU5AECjlpaQOH/MqN+SYnfYHNetXkszTLQTAaCk+UM33I4Pn11ETfxux5ODM+yypwKETUdlXL7ruw/mrcxzW1v1H//g5MEZpipbmVOrPv/w+00nA6bE9oNvvW9i/6bwM1IAgIvXqK5dF+3be2M5MW7lqv8bOSLacQC4gOYreL6osDTrjunjerZuli6XVvXnSrB/y1fvb06f9Na8j6f3PPnlxyvO4apacdHSD74q7P3ER/O/eeeBtrkffrSiBFdaHwAALgbDOnRcmOhYZou986+/BQHOWeAiojnBm7v361myb395BMcsm7t5V9qIa3okmOztxo7tdHzTTheuojV0+MCpTiPGtI8lyfjOowe3OHH4BG/8gQEAoG5d3yv7M7vpW1vMs9u3RzsLAP9Sfw88b9OGEgEhhDpNuPyzh0dPOjDl+j6tU+wVP8hMpl7Wv4PqihVwWeFZMmNwCoEQQtaMFsnOwmIBJVFarR36TXm/t82BEELYdyzf2aRlesXTj5MnT65evVq87fV6g8Gg7JqS1YUx5jguGAyKdwVBkG5zHCcuEN4kCIJ8LYwxy7KVFSEIguf58Cae5+V3EUIsy+KK62byPC81sSzL8zxX8QsbiiIYYyz7FKR4gQ1xMXkRjuNCoRBZcUmu8C2V1hKLiJkVRcRLdEjX/JAXkYcUi9A0zbKstKVSQnEtqYgipLgzxbUQQlJm/d0hhpSvFQqFjHaHmEoMKRaRhxQfscruUOwfjLHR7ghvkhfR2R3aWyq/rdEd4UXk+0Rnd4QvKd+c8JCogrw7FCE1hrBGd4QPYe3zgGp3SKPjlh49ijdtmuGIb7Ju/VODBoaHrLI7pBgIIYZhVM8DGt0hDykVkYawzu6Qjw5pCIuV9XeHfHSIpWiaFpfU3x3y0SENYflg1O4O+ZYqhrB4V2d3oLAhjC48D+jpjvCmyoawRneEN0l3FYHl1Cf450cOXSz7Hvz+Z+9aIG+23cR6F6quWAHTNGO1285f6dHusDIeGlfRSljjkqwI4dCp9fPfm3e878OTW1RM8AUFBV9//bV4OzMzUz4jVp94wEk9LR6s8lam4uMz4U2c7DetxItfhS954SWuVYpIxwdCiGEY1Yersggj+4yPoog8lTywooi4onRbfszJQ2oUUYREsmk1vEhle1JeRDwRKIro6Q5FSIRQIBBQDanRHeH7R3+RyjpRUUR7T2psqf4ilTUpkujpjuoU0TjwFDV1dodiLfHMXtmSOo8ZlmVVH67K7hDXmtyjR8m2bS/a4uI3bpyUlaVaRGMnKM4DqiNOuwi6cAjTNF3Zluo5ZsT+VRTR2R2K84D8jB3BEBaTyJ+K6emO8C0NL6Kav8ot1XkeQLLuqM55QKNJLCI+bUKqcK0Qin5+8o73drAYY4y5/G+n3vfFQa7qVsG178f/3XP7o+8sO+IVKik9Y8YMv99fg1nLysp8Pp901+12S7dDoVAwGFRt4jhOvlZJSYk8lXzJYDBI07RqE8Mw8rWcTqf0cIIgiJfjFAUCAfFJfXgRmqblazmdzlAoJIX0er3Skj6fT3zyqLql8rWcTqeUmWVZeUiv1ys9DRcEQV5EHpJlWafTKb5mFbc0EAjIH1p86YYx5nleHtLv90tr0TTtdDqlzPq7w+v1ytdyOp3Sw+nvDo/HI1/L6XTKQ+rpDkWT3+8vKSmR7mp0RzAYlLpD0eTz+crKyuRbqqc7FEU8Hk95eblqk0Z3KJZ0u90ul0u1SaM7FEu6XC75ca7oDvkxI+8OxegoKyuTZ9bZHYqQpaWlGkO4su5QjA6n0zll+XJi1brPNmw0NISlLRWHsJRZf3fIhzDP8/IhrL875KNDHMJSZv3dIR8dDMPIh7D+7pCPDnEIS8e5/u6Qjw5xCEuZdXaHoikQCMiHsM7uwGFDuLS0VDUk1j13eL1eaQhzHDd16lSsRvtrcggFD/3w+HWD7vmhBCPEbpo1KPvqJxcfqfr1M5Gc0VQoKhL/784UF5U3yUgnq2oNHfr2+bd2tXvgrdceHt0+tsbeggcAgLoyd9Cg22j/fTS/eMeOaGcBjZ32BO9fO/OaSYuZgaN6xBIImTqNe/ga6qc7Rk//u8q65i79exav+is/hPmza1cczOzfK5FACPuKjh47F8Rqrdi7dcmq5PHTx/dIgosvAwDqJ4IgvhhxxdUh363e4Oq8vGjHAY2a5hfNmS0//BQY/+mPL4+JQQghIrH7uOe+Szrb6Y7F6IMrtOsSMTmTp51674PH7g+ZmuTc88ioNAIhxO379pkvEmZ9cneX8Fa+MP9Y2bYNt1/77vkKKWNmf3Z/d/gmPACgXqEo6rvLh41etWaiwG8vKrykWUa0E4FGSnP+xMEgHdc01Sr/myU5JZ4+raMyEdvppplv3XTB38z9p3/fX7wZ1kp1uPOTX+7UFRoAAC5mdqv1l4EDem7cMn73vo2paRYzvFIBUaD5Fr2l9/DLnAvmfL7PW/GtBs/+r+bOP9NvSF1EAwCAeisxNvbrjKZ7rY6n166JdhbQSGk+ryTS//PWh2uumtyrxUsdO7VLpdzHc/efS73po2W31lU8AACor3q1zny65NwLlG3Inj3DL7002nFAo1PFG0em1jd/vmPw/ct/XbmrwMXH3DjlvauvGZjpqJtsAABQv80aMmztn39OOsduTStvntok2nFA46I+wRfs2xtMbd+xKVuw/4RLQKbWfUe17is2uY7scZGJPbpl1mFIAACol0iS+KZPn6zde+/Ztef3K4ZHOw5oXNQn+Mdzeu16aP2BF08/njPux1BYs20cDi6q7WQAANAAtEhN+Twl8QaX/92NG6cPHRrtOKARUZ/gv3MHBNJsNuV85w7ND/8JPAK+qA4AAHpd17Pn5GXLZ1ljRp8s6NoK3v4EdUR9gj+xZ1ep+m/XI4QQIlP69mlfS4EAAKDhebl/vzWbt03MPbSlWXP41hyoG+rH2VOD+6m8My+Bt+gBAMAIh9X6eWbzy8+W/e+ff14cfnm044BGQf178N/7OS3+7+s4JQAA1Hf9218ynQ+9Qlo2HT4S7SygUVB/BU+S//6XnT69ftGCX9YdKAqYklr3HH7zhGu6p1R1iRoAAABhZg8dumLFqluPF2xISohH8dGOAxo47akau9fNGtJ1yOS3VxzzYuw5/MfLE3p3vfLt3TV5OXYAAGgkzCbTN106Fpqts3fsjHYW0PBpTvD8kU+feOPMFZ/uyd/z98/ffbv4r11Hd38y6MCsRz+vq3gAANCgdGnV6lmS/8gau/bQwWhnAQ2c5gTPHdqb1+I/02/rGFPxF0eHiY9PaLF3W+0HAwCAhumJQYO6hfxTTpzieD7aWUBDpjnBUy0ymwdKSmj53+iSUn9qeu2GAgCAhouiqNebpe23Oj7YuDHaWUBDpjnBm7IeeumqXU/+98Vfdp12h0LuM7uXzPnvlJ9bTb69ruIBAEAD1Ldtuwkh37MMX1RWGu0soMFS/xT9zXZC/j34Pdf/Oku6Q9iTP/4APf5RbScDAIAG7PV+fX/fsefprds/vnxYtLOAhkl9gp/zz+Zpmr9kV0tpAACgkWialPS0mZhBxdyZf7R36zbRjgMaIPUJvn2fvu0RQv41L076o8vbr1zfDL74DgAANezRgQO/+WvlIyf8a1u2inYW0ABpzty2ZrYzPy7e5A6/3AwAAIBqMlHU262a77THfr0TvhYPap7mNQ/IFuPnTNs+c9yDJ+66qmeLBEvFswEy9bL+HeogHAAANGzDu3S5cenyF8yW2wKBOIcj2nFAg6I5wTPLHh318I8hhDauvOAzdXCxGQAAqCFzunfpfvjEK5s2w0VoQM3SfIveetOiIFYBszsAANSQ1mnpd7PBN5HpVElJtLOABqXqT8/xpXt+/eyNl15alMv6C3KPurg6SAUAAI3Ik1k9LFj4H/xAPahRVUzwzKFPbujRd8Izr702Z/FBtvine7u26nX3omNs3YQDAIDGICU+fjqF51kcuSdPRjsLaDg0J3hcvPDJmXuHzT+Y/9FYB4Goto/8vnF2qz/unbqgruIBAECjMG3AgGYM/fSBQ9EOAhoOzQme3bVuS9q4h65vaa5YOrHXg8/d3mzz2jpIBgAAjYfdan023v6rPXZbQUG0s4AGQvsteoqi6GDwgt+04/2+oMVaq5kAAKARmpTTt3Mo8FyxE2P48RFQAzQneHOfK0cwP7z49tYyHiGEsOA5uGjaY9+wo66um3AAANB4UBQ1p2nqNkfcb/v3RTsLaAg0vwdPJF796leTrptwWaaH5C1/t0v1ng2mj5y18PUr6yoeAAA0Itf0yBq4dPmskOkGnjdRVLTjgPpNc4JHiEgbMXd9/r3bN+84UOCiUttlDxzYuYlZex0AAACRej6j6QiX/7PNm++/7LJoZwH1m+YEz66fM+Gfwd89NTBnZJuc83/DJb/NfPTYy/On1kE4AABobHq0bHld0bbnONutgUCMzRbtOKAeU5/gsXvnD/NWn6H3LvpjT96b1i2ypbjTy+cva/5yHcUDAIBG56UunbOOnXxzy+ZZQ4ZGOwuoxyqZ4ANH1/36y16m9AzrZH775RjxbxNB2obMvLeO0gEAQOPTJj19Ut7h1ynL5LKyBHgRDyKlPsGTzW7+YNXNiFk5c/TfVyx/ebiljlMBAECj9kLfPt9t3/3Sjp2vXjYg2llAfaX5P3jL8JdXDa+4g1mfj3fE2ar+9frahTGmaZqquc+XYox5nqdpWrwrCIJ0m2VZhJBqkyAI8rUQQhzHqS7JcRxBENIXW+VNPM/L15IXwRgrioh/Ua0v7hNxLSl2eEie5xmGIUmysiLS38Ui4l94ng8vQhCEdkie58Ui4g1FEXEtqUh4fXEtjuMQQlJm/d0h31JxLYZhjHaHPKSYRL6l0o7S6I7wJnkR7e5AMoqQ8vo6u0O7iLxJozvC93llRfQfeGI81SL6jxmNIazRHYqQ2kU0uqOy84ChISzdFY9MjuMSbPaHMfeK2X53UWHnVplVdgfLsuLOQbLzgHjD0HlAGh3SEJZGtM7ukI8OsYj0cPq7Q3UIywejnu6Qjw5p9El39XRHeBMKG8JVdkd4yMqGsEZ3aBQRbyM1lU3XQsmmTx7778R3d3IIIeze9OqV7RLiExLSOl359LIzfCUr1Qm1y9tVi6Km/K5Gk3YdjSX1P5zOtRR/V+yl6ifRvxMUa0W2Yh0k0fnQ2jWrv5b+JDV+zNRIkho/0qq8q/HQdZlEey2NzBp3VZum9s5O5tgXD+dHlqTK+jW1pPb+r/Hu1qgZWSdqPHT4WhdnElQJ9VfwnrWPDx39KX3Zrc86CIRCG1647ZnNGQ998WY/79LXnrvlv2k71ky9pLKKtY0kSZvNZqu5/0sFg0GTySQVZBhGuk3TNMZYtUl80iTd9fv9lRURM1sslvAmlmVZlpXu+nw+s9ks3sUYcxwnNWGMTSaT2WwOL8IwjCAI0lpiEavVKoaUmsS7VqtVevNDsaUIIWmtQCBgsVjEzOKTVmlJjuOsVqv4zBpjLM8vD8lxnFjEZDKJWyrfHPGhxSet4jN3qUkQBGkthmFCoZCUWX93iCGltcQi0nNknd0h3pbWomlaHtJsNlfZHYomQRDk9TW6AyFEEITYHeFbKq+vszvCt1Tep4qQlXVH+JZG0B0o7MATR7RqSPkxI+8OxZYGg0GKolSLaHSHImQgENAYwpV1h2J0+Hw+qYihISztc4yx3+8XzwM2m+1Zh+Uh1rK14MTgDh21u0M+hAVB8Pv90hDW3x1INjo4jgsGgxaLRcysvzvko4Nl2WAwKD2c/u6Qjw5pCEvvOujsDvnoQBVDWMqspzsUTRhjxWDR0x3hWyqvrwipc+4Q34EQ7/I8L3+3QE59gv/h5c+Cd/y048ORiQRC9OpvF53Kmv7ra3d2otA1vdjcrAWL0dSZqisCAACoKXf37fvJ36sfPnZyR/tLavD/kqCRUH+Lfvve5LH/GZZIIIQQt2/V2tKu1113KYUQQmRmr57Jx+F6RwAAUOsoinozI32vzfHJ5k3RzgLqH/UJ3h+yxzrEl/xCwdo1x5sPGdq+4smj9FYCAACAWta3XbtxId+sIOt0u6OdBdQz6pN1+1ZnNm0+JSCEhBO//bI7btCwrPP/qhAKtm93ZkbtH/AAANDYvNGnD0OQz23eEu0goJ5Rn+DH39ZjxzPX3frcm688OPGlzUlXjxvqQAizrkO/PnPX3H09J4yr45QAANBotUhNeYLEn1oc+0+djHYWUJ+oT/AdHl7446OX5H87d+5PZX2e+mrOmFiEQosnNOt8wyfeGz/7ZkqHOk4JAACN2ZMDB7ahQ4/mn9D4ThQACpX80I2pxejnF49+Xv4ny6BZf257Latn63j4HzwAANQli9n0enrKde7A4l27xufkVL0CAJX/0I3Kkk27D86G2R0AAKLh2p49hwY8L5a54EU80AnmawAAqB+mN0s/YIv5bc/uaAcB9QNM8AAAUD8M69AxO+h7qehctIOA+gEmeAAAqDempyRutcf+kwe/NgaqBhM8AADUG9f3yGofCr6aXxDtIKAegAkeAADqDYqipsXZl9pjdh0/Hu0s4GIHEzwAANQnd/bp05Rl3jx0ONpBwMUOJngAAKhPrBbLFAv5vS3mdGlptLOAixpM8AAAUM882LtPLM99kJcX7SDgogYTPAAA1DPxsTF3I/4rix0uMQc0wAQPAAD1z6O9sjAm3tq+LdpBwMULJngAAKh/miWn3M4EPkAml88X7SzgIgUTPAAA1EsPd+oQIql3t8GLeKAOJngAAKiXmien/JcOvMsjXzAQ7SzgYgQTPAAA1FdP9ejupswfbYUX8UAFTPAAAFBftW/W7Cba/wYtBGk62lnARQcmeAAAqMdmde3iNJu/2bUr2kHARQcmeAAAqMc6t2hxTcj3WohjWC7aWcDFBSZ4AACo357t2OGMxbpwN7yIBxeACR4AAOq3nm3ajAz43vAFBQFHOwu4iMAEDwAA9d5jLTMO2xy/7tkd7SDgIgITPAAA1HtDOnToE/S+UVQc7SDgIgITPAAANAQPJSasd8RtPALXiQfnwQQPAAANwU09erShg28ePR7tIOBiARM8AAA0BBRFPWi3/GKLOVpUFO0s4KIAEzwAADQQ9/Xpk8Cz7+7PjXYQcFGACR4AABqIGLv9LiTMM9vK4BqyoDYneFy+69sXH5408fb7n/74n0LlLyxptLKntmw6AT+rDAAAxk3NyuIIYn5eXrSDgOirrQke+7d89f7m9Elvzft4es+TX3684hzW10qf+mveR38eDsHPNQAAgGHNU1P+Q/s/Ic0hBl4nNXa1NcGzuZt3pY24pkeCyd5u7NhOxzftdOGqWvG5la8/MHnaFzu9tRQKAAAavsc6digxWb7ZCb9c29jV0gSPywrPkhktUgiEELJmtEh2FhYLVbUSacOnfzj/2xlDHLUTCgAAGoFurTKvDnjmhDi4hmwjZ6qdspimGavdRiCEECLsDivjobHOVhWbNm2aO3eueDslJcXlctE1d+AKgkDTNMMw0t3y8vLzQTFGCAWDwfAmsVVaC2McDAalVOFFCIKorEm+LYFAQPXhqiwirYUQ8vv9gUBAWpJl2fDAqkXEtcTbPp9PfDhFSHlB7ZAIIa/XK28KhULSWi6XS15EHjIUCskf2u12y+/q6Q5FQYSQ9HD6u0MeUmySLymFVC2iGlIQBIyxfEk93RFeRJ5Ef3doJFHsycq6w1CRyrqjys1R5Nc4ZqQleZ6XP0RkQ1gQhFAopDGEVbsjfAgHg0F5Zv1DWFoLIeT3++WZ9XSHIuSTmS0HOd3vrVt3d3Z2+JbqOWbE216vV35XT3eED2GPxyOvr/OMKr+NEHK73apbqj2EFeeB8vJyeTA93aFoUgxhnd2hPXAiG8KoYuDwPM/zPFJTSxM8YbVaGOf5f6TjYJCxWK2EzlYVaWlpV1xxhXj70KFDFovFYrHUVNZQKESSpNlsFu/SNC0V53keY2wymcKbMMYcx0lrBYNBiqJUi3AcRxAERVHhTYIg8DwvL2IymaQlGYaRFyFJkiTJKkPKi2CMWZaVlmRZ1mQySYeLoghCSForFApJRRQhGYYxm82qReQhxbVMJpN0VxCEyvakIiRFUeJaPM+LO0F8OP3dIQ8pFTHaHfK1FEXkIbW7Q97EsizHcXq6QyMky7I8z0t3dXaHoolhGIyxdFdndxgqUll3KJakaZogCNUiimNGvv8Vd8UhrFpE/zETCoUoilJd0tAQlhepzhAW7+rvDsUQvrRps5sKTr9ptt6Jsd1i0dkd8i0VX/mYzWbVIazRHfKQUhGjQ1g+OsTRJxUxNITlawmCIJ1M9HeHYv/Ij3md3YGqMYQ1zgPi5oiPJWVQqK0JPjmjqbCtyIVRKoGY4qLyJl3SSZ2tKtq1azdlyhTx9syZMx0Oh8NRY+/ji/s3JiZGvMvzvHSbpmmMsc1mC2/ieT4UCkl3Q6GQxWKRUsmXVJx95E0sy7IsK60VDAYtFov4cBhjQRCkJcUxLx248iIMwwiCIK0VDAatVqvVakUVB5m0pN/vt9ls0uGi2FKEkLRWKBSy2WxiZo7jGIaRQmKMHQ6HeDxhjOVF5CE5jqNp2m63i+NEnNvsdrv00A6HQzymBUEIBAJSkUAgYLFYxLUYhmEYxm63i5n1dwfGWL6WmF98OP3dIQiCfC2GYeQhzWZzld2haAoEAvK7Gt0hviwQu0PR5Pf7McbyLdXTHYoi4nlQ9ZjX6I7wfS5PorM7FEuK51nVIopjRt4ditGhMYQ1ukMRUpyHKhvClXWHYnSIQ1jMbGgI8zwvrSUOYTGz/u6QD2Hx3YjnunXukX/qy337pg8cqLM75KNDHMI2m03MrL875KODZVnxPCA+nP7ukI8OaQiLx7n+7pCPjlAoxLJsTEyMmFlndyiagsEgx3FGuwOFDWH57pKH1OgORZPP55OS8Dwvf99UrrY+ZGfu0r9n8aq/8kOYP7t2xcHM/r0SCYSwr+josXNBrN4KAACghrRv2mwC7X+NFTz+QLSzgOiorQmeiMmZPK1/wQeP3f/QnA0t75k6Ko1ACHH7vn1mzpJjgnorAACAmvN8zywvZXp3+9ZoBwHRUUtv0SOEiNhON81866YL/mbuP/37/uJNldbzy+Q8Oj+n1lIBAEBj0SY9/bbde96iLHf7fdK7u6DxgJ+qBQCABuv57GyGIN/fvTfaQUAUwAQPAAANVvPUlElc6H3S4qz4mhloPGCCBwCAhmxGdk+eJF7dti3aQUBdgwkeAAAasmZJyfewwQ8Iy+mS0mhnAXUKJngAAGjgHu3Rw4TxKzt3RDsIqFMwwQMAQAOXEhc3heA/M9lPOs9FOwuoOzDBAwBAw/dE374Onn9x5+5oBwF1ByZ4AABo+BJiY6aahK/M9hNOZ7SzgDoCEzwAADQK0/r1S+S5Vw8einYQUEdgggcAgEYh1u54zEx8Z487dOZ0tLOAugATPAAANBYP9+uXyjKzcw9GOwioCzDBAwBAY+Gw2R41oR9tsfsKCqKdBdQ6mOABAKARuSsrK51lXjwAL+IbPpjgAQCgEbFZLNOs1GJb7F54Ed/QwQQPAACNy305fZqyNLyIb/BgggcAgMbFZrFOt5l/ghfxDR1M8AAA0Ojc369vU5aeDS/iGzSY4AEAoNGxWayP2yw/2WIPnD4T7SygtsAEDwAAjdF9/XIyWPq14yeiHQTUFpjgAQCgMbJZrNNtll8ccceLi6OdBdQKmOABAKCRmtSrlwXjhQcPRDsIqBUwwQMAQCMVHxszIuj7PsRGOwioFTDBAwBA4zUuKWGfLQZ+ubZBggkeAAAar1EdLo3n2YVHj0Q7CKh5pmgHAAAAEDU2s+VqNvQ9YXoJY/nfcXmZ4+vPBI5lCAIhhDEmERJvI4TMgsCS/74+NAsCU3GXwlioWBJjbM4ZgIYMr6ONAReCCR4AABq18c2afVvu23T0SK+WraQ/4mVLSL+P6N2XJEmEkCAIgiBQpvNTBscwJotFWlh+l2VZiqL+XSs5pe62BFwIJngAAGjURnXt2mTVPwuPn5AmeOHIIZy7jx5zjeOyISazGSHEsizmOJPdLi4Q9Hqp2Fii4mU67/OZ4uLEJiYQIMxmaS3e7Y7CJgGEEPwPHgAAGtxLTr8AACAASURBVDkTRd0gsD8QZo7nEUKI57kli1HzlmyXHtGOBqoFJngAAGjsxme2dJot/xw+jBDi163GJU7qmhtRxX/cQT0FEzwAADR2gzt0zKSDi4qLkc/Lrf6LyhmAWrSqejVwcYMJHgAAGjuCIG4i0c9mW/D3nxFJUqOuinYiUANgggcAAIAmtG/rocx/lpaaRl1FxMREOw6oATDBAwAAQL3atO0Y8i9s24nKGRDtLKBmwAQPAAAAIYRua9Xy98TUQpaLdhBQM2CCBwAAgBBCt7dqZSKIeWfPRTsIqBkEvvDnCS9+TzzxxGOPPWav+L2F6uM4jiAIiqLEuzzPS7cFQUAIkRU/wShvwhgLgiDdZVmWJMnKihAEQVR84UTRhDGWF5F+AUp/EYwxxlhaS15EEVK+lkYRjDHHcfIi8vo8z5Mk+e8PXPC8qeLHreQhxSImk0m6Ky8i1pea5CHlRQRBEOtLd3V2hzykWMRsNuvZk5XtLkUReX3t7pA38TwvCIKeIhpbyvM8xlja5zq7Q1GE4ziEkLSk2FOqO0F/EY2jS2NLNUafxp6skSLhxyRJkpWNvsq6Q2P0hRfROA/I60dcRN7Esqw0cPR3hyAI95w8s9kf2NP5UrLiwFAdwtrdTRCE/GQiHfP6uyN8COs8D+gvovO0LB8d+k8m2kNYcR6obE/qPA/wPP/888+/++67KByub2bMmOH3+2uwYFlZmc/nk+663W7pdigUCgaDqk0cx8nXKikpkaeSLxkMBmmaVm1iGEa+ltPplB5OEASPxyM1BQIBhmFUi9A0LV/L6XSGQiEppNfrlZb0+Xwcx1W2pfK1nE6nlJllWXlIr9crHlviw8mLyEOyLOt0OlmWlbY0EAjIH1ocRRhjnuflIf1+v7QWTdNOp1PKrL87vF6vfC2n0yk9nP7u8Hg88rWcTqc8pJ7uUDT5/f6SkhLprkZ3BINBqTsUTT6fr6ysTL6lerpDUcTj8ZSXl6s2aXSHYkm32+1yuVSbNLpDsaTL5ZIf54rukB8z8u5QjI6ysjJ5Zp3doQhZWlqqMYQr6w7F6HA6nVJmQ0NYvpb8PKC/O+RDmOd5+RDW3x3BYPDvcyVo9fo/SsrEISxl1t8d8tHBMIx8COvvDvnoEIewdJzr7w756BCHsJRZZ3comgKBgHwI6+wOHDaES0tLVUNi3XOH1+uVhjDHcVOnTsVq4C16AAAA5w1KiOsS4/ik6Gy0g4AaABM8AACAf93dLP2P0vKCEB3tIKC6YIIHAADwr9ubpllJ4utzzmgHAdUFEzwAAIB/JZpMNzdJ/fysk61vH8EGCjDBAwAAuMC9GU2LGGaF1xftIKBaYIIHAABwgX7xcVkxjq/L4FLu9RtM8AAAAJQmN0tf4/Pnw0ft6jOY4AEAACj9t0lKsol6ruBUtIOAyMEEDwAAQCmWoqY1SfmxpGyzxxvtLCBCMMEDAABQcXtyYjubbcaxgmgHARGCCR4AAIAKM0G82LrlWpd7aWl5tLOASMAEDwAAQN0NKUkDEuKm5x/n4Dvx9RBM8AAAACo1t23rg4HggnMl0Q4CDIMJHgAAQKUGJcRfk5r83MnTAV6IdhZgDEzwAAAAtMxt29rJch8Un4t2EGAMTPAAAAC0dHLYJ6U3eaXwbK4/EO0swACY4AEAAFRhbuuWLSyWWw7kwRv19QhM8AAAAKoQS1EL2rfJD4Yeyz8e7SxAL5jgAQAAVK2rwz63beYnhWe/K4ZLxdcPMMEDAADQ5eEWGdemJj9wJL+AYaKdBVQNJngAAAC6EAjN63hJosl0e34BI8BP31zsYIIHAACgV5LJNL/TpXuDobsP5/Pw83YXN5jgAQAAGDAoIf79zBbfFp+blHcUXsZfzEzRDgAAAKCemZCSZLFaJ+cdJRH6/NL20Y4D1MEEDwAAwLA7mqYhgph86AiB0FsZTaMdB6iACR4AAEAk7myaJmB8T95RlmW/6NLJQhLRTgQuAP+DBwAAEKG7mqV/cmm778tcg3bvPRGiox0HXAAmeAAAAJG7q1n6ig7tzzFsj+27FsFVZS8mMMEDAAColuwY+/bsrEEJ8bccyJty4hQtwO/VXxRgggcAAFBdKWbTb906v9qu9Xxnaa/d+38uKY12IgATPAAAgJpAIPR4y+ZrOl/azGK5Yf+hwbv2bfP6ox2qUYMJHgAAQI3JinH83bXjkq6dnCw7cG/u3acKYZqPFpjgAQAA1LBrUpP39en5TtvMTf5g/937eu/Y83lRsZ/no52rcYEJHgAAQM0zEcR9zdJ3dWj7Q6dLE0zUPXlH2+zYM+X4yWVl5SH4FF6dgB+6AQAAUFvMBHFjatLN6U3yAsEPT535qbTs82JnDEWNSk4c7rCPtVhb26zRzthg1d4Ej8t3fffBvJV5bmur/uMfnDw4w1Rlq/YqAAAA6qsODvtrbVrNzWxxkOV+LS37rbT8IWcpLjjdzGLpnxDXPza2h83S22pNMsF5v8bU1q7E/i1fvb85fcpbMzqU/DJ79scrOr4wJo3QbEWaqwAAAKjvCIR6xcX2iot9vnWrI6WluwW80e3d5PE+VXKSxRghlGG1dHY4LrWYL42Naeuwt7bZmsE0EKnamuDZ3M270ka81iPBRCSMHdtpyV87XaNHJxFarTGaqwAAAGhI0s3mcfHx45qkIoR8LLuz3JUv4AP+QK4/8LvLfbrYKf2jPpGiMmzWNLM5w2pJJslUk6mJzZpkNiWbzBaazjCZYygqhiLjorgxF6VamuBxWeFZMmNwCoEQQtaMFsnOwmIBJVEarTix8lXOnTu3d+9eceVgMEjTNEVRNZYVY57nafr8rygLgiDdZlkWIaTaJAiCfC2EEMdxqktyHEcQBMY4vInnefla8iKKVBzHYYyFik+mKOpjjKW1pNjhIXmeZxiGJMnKtlT6u/gXsZoipFiEIAjx4cKTiKvzPC8WEW/wPB++k6Uiii2VVhdvS5n1d4d8S8W1GIYx2h1iQTGkmEQRssruCG+SF9HoDnFJeY/I15LX19kd2kXkTRrdEb7PKyui/8AT46kWURwz8u5QhNQYwhrdoQipXUSjO2pkCEt3xSNTo0hl3SEfwtJ5QLyhvzvko0MawtKI1tkd8tEhFpEeTqM7KEHIsln7Wq0oKQGJh4TJVMhyBTRzPBg87g+4SbKIYY8FApsYtoTjvLz6x/QcJGklyXiKNBFEHEkSBCG+529FyIyxqfCcgyKtJCkIAkkQSWazlDnWWWojCFRxYItTTAxFIZa1uDzSYjzPW/1B6S5Jkolms3iRHYZhLD6/tH8QQtI8JW/iOG6QzRajNoQ1ugNVPoTF26p7o7YmeJpmrHabGJmwO6yMh8barVqr7N+/f8aMGeLtLl26+Hw+vka/bsEwjDQBIIS8Xq+8NRQKVdYkX0u7iJxGkVAopPFwGkXkaymKyEe+/LG0iwSDwcpCygtqh/T7L/j+q/w86PP55E0aIRVFdHaH/pAaRRQh5Uvq35OKphovEvGWyu8qmvQfMxpFdHYHz/PyVkURjWNGvqQgCBpFdB4zNE3LH642ilSWH124pRfPEA4EApWF1D86IhvCiGFSEUolUXaMHcXYFcE4jN2C4OJ4Ny94Bd4rYD/P+wXBJwghjGmMfILAYezleR5jBuGAgBFC/lBI/EcAg3FAerKFkOLpAoexrzY/5//PJW3iam4I8zwvVJK2liZ4wmq1MM6QOEHjYJCxWK2EdqvWKv3791+yZIl4++23305MTHQ4HDWV1ePxmM1mu/38AeTz+WJjY8XbDMNgjK1Wa3iT+IxViuFyuaxWq2oRmqZJkjRXPFWUN3Ecx7KstFZ5ebnD4RAfDmMcCARiYmLEplAoZDKZTBUfP5EXEZ9iS2u5XK6YmBiLxRIeMhAIWK1W6UmlYksRQtJaHo8nNjZWzCw+wZRCBgIBm80mPh/HGPv9fqmIPKRYJD4+Xnw4juM4jrPZbNJDx8TEEBXPl0OhkBQyGAxaLBZxLZZlfT6fVER/d8i3lGEYv9+fmJgoPpz+7vD7/Q6HQ1orEAgkJSVJIc1mc5XdoWgS33xKTEyssjvE10Zid4QXYVk2Pj7eUHcoivj9fp7npSLyJo3uUCzp8/kwxnFxcYa6Q7Gk1+slSVI6zhXdIT9m5N2hGB0ej8dkMkkPp7M7FCHdbrfVapUfonq6QzE6ysvL7Xa7WMTQEOZ5XlrL5XJJ5wH93SEfwoIguN1u+RDW2R3y0SEO4bi4ODGz/u6Qjw6O47xeb0JCgvR2ms7uCB/CUhGpO5pU1R3y0SEOYek8oLM7FE3iEy9LXDyNBfGu2WyW9qTf75d2gjhnS+cZeVMoFLJyXJLsPCCF1OgORVMgEOA4ThzCPM9X9pZ2bU3wyRlNhW1FLoxSCcQUF5U36ZJOarcSMZWvYrfbmzdvfj6xyURRVA2+RY8QIghCKii/TZKk9F6NoklsreyuokhlTYIgVFYEY6yziPy9IPGNGo0k8l2naEKyN5QUScILSjNKZSEVSRRbKq4ljjSCICorIm2aeFd/d4hN0lpiEfHh9HeHPKRi/+jsDu2drN0dlR2TYh6j3RFeRKO+/iKVbalGd+hPotEdii0Nr6mnO1DYENY4D1TWpBgdKNIhLB3YioGjvzvkR5d00CoOtiq7I7IhrLGl4ivL8BFdZXfIR4e0aeIN/d0hHx36zwPy7lDdyXEWs/isNsDzFotFepZgoen4iucu4hsd0lMZeZOf42jZlCwPqdEdSHPgVKa2fujG3KV/z+JVf+WHMH927YqDmf17JRIIYV/R0WPngli1VX0VAAAAABhXW5+iJ2JyJk879d4Hj90fMjXJueeRUWkEQojb9+0zXyTM+uTuLmqtqqsAAAAAwLja+0kBIrbTTTPfuumCv5n7T/++v3hTpVV1FQAAAAAYB79FDwAAADRAMMEDAAAADRBM8AAAAEADBBM8AAAA0ADBBA8AAAA0QDDBAwAAAA0QTPAAAABAAwQTPAAAANAAwQQPAAAANEAwwQMAAAANEEzwAAAAQANUe79FX4u2b98uXay3+nw+n8lkkgoGAgHpmsQsy2KMpetAy5sEQWAYRlrL4/FYrVbp4oDyJRmGIUlSuqSgvInjOJ7npbXcbrfdbhcfDmMcDAalJWmapiiqsiKCIEhreTweh8MhXkJYEASapqWrI4dCIYvFIl2XULGlqOLqxYIgeL3emJgY6cruHMdJIYPBoM1mky4TWVlInufFqxdTFdeDl29pIBCw2+1SkVAoJIWkaVq8IrC4lt/vj4uLky4mrbM7gsGg1WqV1goEAvHx8eLD6e8OeUiGYYLBYEJCgqHuUDTRNE3TtHQVdo3uYBiGIAjpOtDyplAoxHGc/PLwerpDUSQQCAiCIL+2tNSk0R3hRTDG0lWudXaHYkm/308QhLymnu5QbKnP56MoSn4VcD3doQjp9XotFktlQ7iy7lCMDrfbbbPZxLuGhrC0peIQlp8HdHaHfAiLRaQhrL875KNDHMJSEf3dId9SxRDW3x3y0RE+hHV2h3x0iENYKqKzO5DmENbZHShsCLMsGxcXFx5SozsUTcFgkOd5cQiLF+FVVf8m+NGjRx8/frwGC27bti05Obldu3biXY7jpB0qXcw4vAljLAiC1LWbNm3KyMjIzMw0WkS8gLF4d926de3atcvIyAivLwiCeAFg7fosy27evLlDhw5paWnhRXieFy+lrF0kGAxu3769S5cuycnJVRbhZRc2lhfx+Xy7du3KysoSj2PFTpCvpVG/rKwsNze3d+/e4glOf3fIi5w7dy4vL69fv37S0xed3SEvUlhYmJ+fP3DgQPGuzu5QNBUUFBQWFvbv399Qdyia8vPzy8rK+vTpY6g7FEXy8vKCwWBWVpah7lAUyc3NFQShW7duhrpDseSePXusVmvHjh0NdYei/o4dOxISEtq3b29oTyqKbN26NS0trXXr1tUpsmHDhszMzBYtWqh2h55jhuf5jRs3XnLJJU2bNjW0J+VFaJreunVrp06dUlNTIy4iDuHu3buLz2v1d4e8yeVy7du3Lzs7W5yZIhvCJSUlBw8e7Nu3r/jMILIiZ8+ePXLkyGWXXSauGNkQPn369MmTJwcMGGBoTyqajh8/7nQ6c3JyqlPkyJEjHo8nOztbvHvVVVchVbjRu+666954441qFhk2bNinn35azSLZ2dk//PBDdSq43e7s7Oxly5ZVp8jJkyezs7M3bNhQnSK5ubnZ2dn79u2rTpGNGzdmZ2cXFBRUp8jy5cuzs7NdLld1ivzwww/Z2dmCIFSnyGeffTZs2LDqVMAYv/HGG9dee201izz33HMTJ06sZpFHH330wQcfrGaRu+66a+bMmdUsMm7cuLlz51azyMiRIz/88MNqFunXr9+CBQuqU8Hv92dnZ//666/VKXL27Nns7Ow1a9ZUp0heXl52dvbOnTurU2Tbtm3Z2dn5+fnVKbJy5crs7Gyn01mdIv/3f/+XnZ1N03R1inz11VcDBw6sTgWM8bvvvjt27NhqFnnppZf+85//VLkY/A8eAAAAaIBgggcAAAAaIAJjHO0MUVZcXGyz2aTPT0WmsLAwNjZW+vBFZM6cOZOYmCh9aikCgiAUFRUlJSVJn8WIAMdxxcXFKSkp1fkkI8MwTqezSZMm0gdqIkDTdElJSXp6uvSfpwgEAoHy8vJmzZpJ/8qKgN/vd7lczZs3j7gCQsjj8fh8PvEzFhFzu92hUCg9Pb06RcrLy1mWFT+oEbHS0lKMsfhf3og5nU6KosRPe0Ts3LlzFoslMTGxOkWKiopiYmKqOYQLCwvj4+OlTy9GoEaGMM/zZ8+ereYQZln23LlzNTKE09LSpI+bRSAYDJaVlVVzCIvngYyMDOm/3RHwer1er7eaQ9jj8QQCAfEzFhFzuVwMw1Q5hGGCBwAAABogeIseAAAAaIDq39fkag4u3/XdB/NW5rmtrfqPf3Dy4IwIdgY++8uTD3x5iEMIIUSmXjn7s3u7UcZKsKe2bOez+re2VifVhUUMp2JOrfr8w+83nQyYEtsPvvW+if2bmownUStiKAn2H/79o4+X7HOy5rTu1917/5WXOgjDMVSLRNpNOHBk7bpgj5HdkwgU8QFzQRGjSdSXN7pP1IoY3yehgr/nfb5ke4HH0nb43VMn9koy3juqRYwlEc789MRDXx/+95u/pm73fvrilanISJJKiqQUG9wnXOG6Lz74dmOB39y05w333TemfQRHrGoRw70TOrXmq49/2HKacbTofeN9d13e0oKMJ1ErYiCJnlNZlZF0FKk6kqKI/ngGixhOEtmZVkeRypJU88P69Zfg2/TmpIc+3eViA0d/nHn7rKXFkXwFit370d0v/FlGMwzDMCzLGa4ROvn7C7c/96dLqE4qRRGjqYTCn5+c+PTiI16ed+//etqtzy51CoaTqBYxlIQ7On/Kfe9sdDICe3bFnDseWnCUM75DVItE2E2CZ/v7d9/4wNdHOIwjPmAuLGI4idryhpOoPqjRJMG9nz7w4PubnYzgO/j1o5Pe2RaMIIlaEcOHK8+xjIgu3/L+oy/9HcnhqlbEcJLipc/cNvPHY0GBOfv3y3c+tOBIBEesahGjSZhDXz04ac5fZ2gheHLp/yY98X+neeNJVIvoT6LnVFZlJF3nw6oiKc+H+isbLGI0SWRnWj1FKkvSeN+iZ3M370obcU2PBJO93dixnY5v2uky/mkEHCx2ovRm8Raz2Ww2m0yUkY9v4HMrX39g8rQvdnqrkUqtiNFUocMHTnUaMaZ9LEnGdx49uMWJwyd4w0lUixhJgoNOf9LgkTmpZsKUlt2zRWnhOd7wDlEvElE3YdfmL749YouvWDaiA0ZZxGgS1eWNJlEtYjQJs3/VhsQxt+SkmomYjuP/99rEzmbjSVSLGE1CkJTJbDabzWZ8/NfFzuGThqUShpOoFjGahC86UZjSIyfTRpjTcnq3dp44TRvfJ6pFDCbhT+/YxfS9+vIMC2FrOeK6nPKtO5zYaBL1IrqS6D6VaUXSXUQrkloRw2da3UWMJjF8ptVdpLIkjfYtelxWeJbMGJxCIISQNaNFsrOwWEBJBt9eF5zFTubA/EcnFZahlM4jJt3/nx5Juud4Im349A+Hs1vfmrQ08lQqRQynsvWb8n5vmwMhhLDvWL6zSct00nAStSKGkhCx/e59oR/iPYVHjuetWVWSdWUHM8LFxmKoFomkm3DJ2k9/Im+6o++iL8T3cSM5YMKKGE6itjwymkT1QQ0mwWWni4jY5BWvP7nhWCC+wxW3TbomGWGnsSSqRRAf4SDC5/7+bnfn8XObktUYzvIihnuHatWpveuPtQdGjsssX7vxZKuubW0InzOYRK2I8eNE4KVJgSBJXFxYzGNs9DhRKYJS9STReyrDiRqRdJ8P4zUiqZ0PDZ9p9RbR7Ca15Q2fafUWqTRJo30Fj2masdptYm8QdoeVoekIvk/AWtM79bvl2U/mz3tlfML6Nz/9J4K3AaKeirDGJcWYEQ6dWvf57E+P9711VAvScBK1IhHsH+zP++vbbxet92Z2b+UgItwhiiLGYwjFKz7+PW7CnX0TpAFiPIlKEeNJVJY3nkT1QY0lwTQdcu3c6R/66Cuvz7zK9Nern23yGE6iWiTSQUTv/+Uv0+irOljOV45o4FxQxPjAScy5fij363P3T773iXmnu990eUvSeBK1IkaTUC1797JsXvLXMW+wPO+3H/9x0jRjOIlqkYhPcaqPHsEBo7Z8DZx1G8uZttFO8ITVamFCIXFP4mCQsVitxr8eSXW46eknx2enmglzk5zrh6ft3ZHH1ctU2L1/8YtTZ/0cvPypOZOz4oiIkoQViSAJEd/njudf/fDtm/HCj5cX4ch2iKKI0RhC4bKPVjS9/faecfKaBpOoFjG8Q9SWN7xPVB/UYBLCYrFYs64d36dpTExGvxuGp+zecshwEtUikQ0i7N2ydHuL4QNTz58YIzpOFEWMJsHezR+/vrvHs/O+W/Dt/NfGOD95c9lZw0esahHD+8TS4T+PT0je+Na0qS987+zQu6XdajW+T9SKRHyKU310wweM6vI1cdZtLGfaxjvBJ2c0FYqKxKc5THFReZOMdMM7A7sPb9yc7xX7hiBJymQyRf4jCtFLFTr07fNv7Wr3wFuvPTy6fSwRWRKVIoaS8Pk/z3ln1TmMEEJEfOvWSa6ScsFoDNUiRncId/LI8dMr59w1YfytM346cerXp++Y/WcpMphEtYhgMIlqcqP7RLWI0X1CJDVNl847BEmSBEkaTqJaJKJBhN1b/jnScWBWxW/BRDRwlEWMJhHOHDxizbqsczyJCHubQf2a5h84zhlNolrE8D7BrJA0YPLs9z799O3nJrYVvOktm1KG94lakYhPcaqPbviAUVu+Rs66jeVM22gneGTu0r9n8aq/8kOYP7t2xcHM/r0Sjc/N5LkNH73z/V63gPjyXb+uLunZr6PB/+JfBKmwd+uSVcnjp4/vIf//nMEk6kWMJCGbJJM7l/6Z58NIcO9fucXVvlNL0mgM9SIGd4il3yNfL1y4cOHChQvm3ti65TUvfTVrVAphMIl6EaMHjOryRg8S1SJGk1i79u2a/8cvB70CX75rycpz3XpfajyJapFIBlFg3/a8zB5d7NIfIhk4YUUMJiGbX9rWv331nnIeYX/+6o2nMzu0MRk+YlWLGN0nwsn/e2bax1vLBRw48tuS3LZD+6YShveJapGIT3Gqj240kuryNXLWbSRn2sb8S3bYd/Cn9z5dVRAyNcm59ZHbc1IieLYjlO/64eMF/xwtDZnSel53z12j28cYPEzYrW9NWtrl/edGJhCRp1IUMZaKz5v3wJM/FwkV94mUMbM/u7+7yVCSSoqQRpIIzi1fv/fV6mN+0t6ky5g7776+ayJheIeoFom0m/jjC6e9yT709m3tKRTxAXNBEaNJ1Jc3uk/UihjeJ7h02zfvz193zI1Suo6dfO/1neONJ1EtYrx32D0f3vdVyrNv3JL578MZ7h2VIkaTYHfuki/mLd3nZKikS4b+9+7xfdIow0lUixhOEshb8s4Hvx7yWZt0GHLrPbdkib/cYDCJWhH9SXSdyqqKpKdIlZGURfTHM1jEWJJIz7R6ilRypm3MEzz4//buLqapKwDg+GkBYVJwgUWWOOJHiiNBxjCDDcKHD0yj7TKyzslEVonLlojZjNGEJ1/IjA4yImpgiW6amGjuLeKQCPixTIdNtmCMm26IsLAwV5Ey7FwFStvrAxEolIeNjJrD//fWc3KT06d/znk4BwAgrfl7RA8AgMQIPAAAEiLwAABIiMADACAhAg8AgIQIPAAAEiLwAILw/1adE6UPe6G44e9Jo+7TFoNxt31UCJ/b6ej/xzfj9wBCjcADmM7XXa+0L4g1uFrUi64g8/57X72bVPhljz/IHIBnAoEHMI3vbr16I85Sses1d4vSOrs3EoUQ2sjQMDdqAXOMwAOYyverTbkZZ9q0deNbq9wX1JYphfd3VWYbP7nitu82Ltzw9YAm/M5rB7cVvLosLub5xNVvl6t3hoQQYsT2Xmzmvu+b965PXrpZDXYOAOB/ROABTOG9ZVNvx5sseTErTeZk90W1+a+AwuuNe+xdNfnR2VVdj8+Xxvtuf1FoOtCTuefE5bbWWquhsbTgozNjT/r5/zhZfmRoy/Grde8sCs1/AeYvAg8gkPcn1dYRb7LkLRThKWaT8fElpXlg5hN2z7W6Qz/n7Dv1WXF+etrr5k+PHbbqG46e69eEED6nwVy1vzhrZcK/fYUJwGwReAABRm+o9Z3Rb2S85Oju7v7dkJqx2P2tct45U+G1wc7OvkfNHy5ZEDEmZl1dr+e+44FfCKFf9Er6itk9oQzgPwoP9QIAPFNG25X6u6ODHR+nNoyP6VxK04OS0oRgu3BdZFRUWGJZa1dNfkTgzEiH0EUb2LoDIcIOHsAkC3uwyQAAAPtJREFUnh+UMz3xJd+4tKc8P5a/PPyd2tQ3wx7ekLY6yWlv6/SO/dQGGneuKay+6Z27NQMIhsADmDBiVxp6X7RY34wdH4pIf78oxXNFPeeYXHidENpDR2//o+GwVdYd+T2VJdvrWtpvXW/aby07+jA1J5nTQSDECDyAccNtylnH8qIPcp+bNBiesqko3XtVafxz4lobfUKOOctVuzbJahvULdt2sqki7ZfPN+dmFmy3RZaePrs3I3LuFw8ggE7TuH8CAADZsIMHAEBCBB4AAAkReAAAJETgAQCQEIEHAEBCBB4AAAkReAAAJETgAQCQEIEHAEBCBB4AAAk9AflVLJSo3X7yAAAAAElFTkSuQmCC" /><!-- --></p>
+<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb30-1"><a href="#cb30-1" tabindex="-1"></a></span>
+<span id="cb30-2"><a href="#cb30-2" tabindex="-1"></a></span>
+<span id="cb30-3"><a href="#cb30-3" tabindex="-1"></a></span>
+<span id="cb30-4"><a href="#cb30-4" tabindex="-1"></a><span class="fu">plotMortalityTables</span>(PopulationTable.AT2017, PopulationTable.AT2017.smooth, PopulationTable.AT2017.ex, PopulationTable.AT2017.trend.ex, <span class="at">YOB =</span> <span class="dv">1980</span>, <span class="at">title =</span> <span class="st">"Austrian population mortality (Period 2017 vs. Generation 1980)"</span>, <span class="at">legend.position =</span> <span class="fu">c</span>(<span class="fl">0.01</span>, <span class="fl">0.99</span>), <span class="at">legend.justification =</span> <span class="fu">c</span>(<span class="dv">0</span>,<span class="dv">1</span>)) <span class="sc">+</span></span>
+<span id="cb30-5"><a href="#cb30-5" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">colour =</span> type)</span></code></pre></div>
<p><img 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" /><!-- --></p>
-<p>So we have now started from raw data, calculated the death probabilities, smoothed them using Whittaker-Henderson, extrapolated to very old ages and added a trend to create a nice Cohort Life Table. We could now store the <code>PopulationTable.AT2017.trend.ex</code> in an .RData file and distribute it to the public. However, we might miss that all our modification were also recorded inside the mortality table (to allow later introspection into what was done and what was the result). For a published table, this might not be desired, so we first need to clean this additional support data with the <code>mT.cleanup()</code> function, which does not modify the table itself, but only removes all non-essential supporting information from the table:</p>
-<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb31-1"><a href="#cb31-1"></a><span class="co"># Lots of non-essential or support information is stored inside the table's data field:</span></span>
-<span id="cb31-2"><a href="#cb31-2"></a>PopulationTable.AT2017.trend.ex<span class="op">@</span>data<span class="op">$</span>whittaker</span>
-<span id="cb31-3"><a href="#cb31-3"></a><span class="co">#> $weights</span></span>
-<span id="cb31-4"><a href="#cb31-4"></a><span class="co">#> [1] 9.902640e-03 9.906213e-03 9.790593e-03 9.633836e-03 9.526789e-03</span></span>
-<span id="cb31-5"><a href="#cb31-5"></a><span class="co">#> [6] 9.507835e-03 9.578069e-03 9.441193e-03 9.378177e-03 9.433871e-03</span></span>
-<span id="cb31-6"><a href="#cb31-6"></a><span class="co">#> [11] 9.457978e-03 9.565714e-03 9.682226e-03 9.623760e-03 9.729914e-03</span></span>
-<span id="cb31-7"><a href="#cb31-7"></a><span class="co">#> [16] 9.716248e-03 9.834353e-03 1.011500e-02 1.041901e-02 1.099756e-02</span></span>
-<span id="cb31-8"><a href="#cb31-8"></a><span class="co">#> [21] 1.181051e-02 1.201924e-02 1.235036e-02 1.289431e-02 1.336379e-02</span></span>
-<span id="cb31-9"><a href="#cb31-9"></a><span class="co">#> [26] 1.359387e-02 1.372999e-02 1.362733e-02 1.371012e-02 1.366066e-02</span></span>
-<span id="cb31-10"><a href="#cb31-10"></a><span class="co">#> [31] 1.345438e-02 1.351974e-02 1.364485e-02 1.359768e-02 1.379285e-02</span></span>
-<span id="cb31-11"><a href="#cb31-11"></a><span class="co">#> [36] 1.393752e-02 1.375612e-02 1.301095e-02 1.271099e-02 1.250115e-02</span></span>
-<span id="cb31-12"><a href="#cb31-12"></a><span class="co">#> [41] 1.247615e-02 1.276387e-02 1.328318e-02 1.331546e-02 1.369437e-02</span></span>
-<span id="cb31-13"><a href="#cb31-13"></a><span class="co">#> [46] 1.431341e-02 1.474252e-02 1.535602e-02 1.610024e-02 1.627307e-02</span></span>
-<span id="cb31-14"><a href="#cb31-14"></a><span class="co">#> [51] 1.624561e-02 1.614926e-02 1.640552e-02 1.622923e-02 1.614036e-02</span></span>
-<span id="cb31-15"><a href="#cb31-15"></a><span class="co">#> [56] 1.559669e-02 1.497483e-02 1.440294e-02 1.380555e-02 1.326929e-02</span></span>
-<span id="cb31-16"><a href="#cb31-16"></a><span class="co">#> [61] 1.297614e-02 1.235557e-02 1.150436e-02 1.096556e-02 1.067262e-02</span></span>
-<span id="cb31-17"><a href="#cb31-17"></a><span class="co">#> [66] 1.024972e-02 1.007565e-02 1.007801e-02 1.041158e-02 1.033101e-02</span></span>
-<span id="cb31-18"><a href="#cb31-18"></a><span class="co">#> [71] 9.974142e-03 7.170591e-03 8.164682e-03 8.929619e-03 8.506759e-03</span></span>
-<span id="cb31-19"><a href="#cb31-19"></a><span class="co">#> [76] 9.195433e-03 9.656996e-03 1.012315e-02 7.949747e-03 5.845014e-03</span></span>
-<span id="cb31-20"><a href="#cb31-20"></a><span class="co">#> [81] 5.360872e-03 5.043744e-03 4.724615e-03 4.477298e-03 4.308243e-03</span></span>
-<span id="cb31-21"><a href="#cb31-21"></a><span class="co">#> [86] 3.996696e-03 3.728356e-03 3.335648e-03 2.879870e-03 2.421901e-03</span></span>
-<span id="cb31-22"><a href="#cb31-22"></a><span class="co">#> [91] 2.071341e-03 1.775088e-03 1.462955e-03 1.164619e-03 9.120986e-04</span></span>
-<span id="cb31-23"><a href="#cb31-23"></a><span class="co">#> [96] 6.678433e-04 4.593908e-04 2.819566e-04 1.294273e-04 6.713604e-05</span></span>
-<span id="cb31-24"><a href="#cb31-24"></a><span class="co">#> [101] 4.608583e-05 2.945073e-05 2.359083e-05 1.503001e-05 8.048140e-06</span></span>
-<span id="cb31-25"><a href="#cb31-25"></a><span class="co">#> [106] 4.288931e-06 1.918822e-06 7.934465e-07 3.830824e-07 0.000000e+00</span></span>
-<span id="cb31-26"><a href="#cb31-26"></a><span class="co">#> [111] 1.932463e-08</span></span>
-<span id="cb31-27"><a href="#cb31-27"></a></span>
-<span id="cb31-28"><a href="#cb31-28"></a><span class="co"># Clean up the table (remove all non-essential data, but do not modify results)</span></span>
-<span id="cb31-29"><a href="#cb31-29"></a>PopulationTable.AT2017.Cohort.FINAL =<span class="st"> </span>PopulationTable.AT2017.trend.ex <span class="op">%>%</span></span>
-<span id="cb31-30"><a href="#cb31-30"></a><span class="st"> </span><span class="kw">mT.cleanup</span>() <span class="op">%>%</span></span>
-<span id="cb31-31"><a href="#cb31-31"></a><span class="st"> </span><span class="kw">mT.round</span>(<span class="dt">digits =</span> <span class="dv">6</span>) <span class="op">%>%</span></span>
-<span id="cb31-32"><a href="#cb31-32"></a><span class="st"> </span><span class="kw">mT.setName</span>(<span class="st">"Austrian Population Mortality, Period 2017 with trend projection"</span>)</span></code></pre></div>
-<p>Other functions that might be useful before publishing a table are: * <code>mT.translate()</code>, which simply moves the base year of the internal representation of a cohort life table to a different year (by applying the trend according to the translation), but leaves cohort death probabilities unchanged. * <code>mT.round()</code>, which rounds the probabilities of the base table and the trend to the given number of digits.</p>
-<p>When using a population mortality table like the one we just derived in insurance contracts, the actuary often considers adding a certain security loading (e.g. 25% on all death probabilities) to ensure sufficient security and ensure the legal requirement of a prudent person. This can be done with the function <code>mT.scaleProbs()</code>:</p>
-<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb32-1"><a href="#cb32-1"></a>TableForProduct =<span class="st"> </span>PopulationTable.AT2017.Cohort.FINAL <span class="op">%>%</span></span>
-<span id="cb32-2"><a href="#cb32-2"></a><span class="st"> </span><span class="kw">mT.scaleProbs</span>(<span class="dt">factor =</span> <span class="fl">1.25</span>, <span class="dt">name.postfix =</span> <span class="st">"10% security added"</span>)</span>
-<span id="cb32-3"><a href="#cb32-3"></a></span>
-<span id="cb32-4"><a href="#cb32-4"></a><span class="kw">plotMortalityTables</span>(TableForProduct, PopulationTable.AT2017.Cohort.FINAL, </span>
-<span id="cb32-5"><a href="#cb32-5"></a> <span class="dt">title =</span> <span class="st">"Adding a security loading of 25%"</span>, <span class="dt">Period =</span> <span class="dv">2017</span>, <span class="dt">legend.position =</span> <span class="st">"bottom"</span>)</span></code></pre></div>
-<p><img 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" /><!-- --></p>
+<p>So we have now started from raw data, calculated the death
+probabilities, smoothed them using Whittaker-Henderson, extrapolated to
+very old ages and added a trend to create a nice Cohort Life Table. We
+could now store the <code>PopulationTable.AT2017.trend.ex</code> in an
+.RData file and distribute it to the public. However, we might miss that
+all our modification were also recorded inside the mortality table (to
+allow later introspection into what was done and what was the result).
+For a published table, this might not be desired, so we first need to
+clean this additional support data with the <code>mT.cleanup()</code>
+function, which does not modify the table itself, but only removes all
+non-essential supporting information from the table:</p>
+<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb31-1"><a href="#cb31-1" tabindex="-1"></a><span class="co"># Lots of non-essential or support information is stored inside the table's data field:</span></span>
+<span id="cb31-2"><a href="#cb31-2" tabindex="-1"></a>PopulationTable.AT2017.trend.ex<span class="sc">@</span>data<span class="sc">$</span>whittaker</span>
+<span id="cb31-3"><a href="#cb31-3" tabindex="-1"></a><span class="co">#> $weights</span></span>
+<span id="cb31-4"><a href="#cb31-4" tabindex="-1"></a><span class="co">#> [1] 9.902640e-03 9.906213e-03 9.790593e-03 9.633836e-03 9.526789e-03</span></span>
+<span id="cb31-5"><a href="#cb31-5" tabindex="-1"></a><span class="co">#> [6] 9.507835e-03 9.578069e-03 9.441193e-03 9.378177e-03 9.433871e-03</span></span>
+<span id="cb31-6"><a href="#cb31-6" tabindex="-1"></a><span class="co">#> [11] 9.457978e-03 9.565714e-03 9.682226e-03 9.623760e-03 9.729914e-03</span></span>
+<span id="cb31-7"><a href="#cb31-7" tabindex="-1"></a><span class="co">#> [16] 9.716248e-03 9.834353e-03 1.011500e-02 1.041901e-02 1.099756e-02</span></span>
+<span id="cb31-8"><a href="#cb31-8" tabindex="-1"></a><span class="co">#> [21] 1.181051e-02 1.201924e-02 1.235036e-02 1.289431e-02 1.336379e-02</span></span>
+<span id="cb31-9"><a href="#cb31-9" tabindex="-1"></a><span class="co">#> [26] 1.359387e-02 1.372999e-02 1.362733e-02 1.371012e-02 1.366066e-02</span></span>
+<span id="cb31-10"><a href="#cb31-10" tabindex="-1"></a><span class="co">#> [31] 1.345438e-02 1.351974e-02 1.364485e-02 1.359768e-02 1.379285e-02</span></span>
+<span id="cb31-11"><a href="#cb31-11" tabindex="-1"></a><span class="co">#> [36] 1.393752e-02 1.375612e-02 1.301095e-02 1.271099e-02 1.250115e-02</span></span>
+<span id="cb31-12"><a href="#cb31-12" tabindex="-1"></a><span class="co">#> [41] 1.247615e-02 1.276387e-02 1.328318e-02 1.331546e-02 1.369437e-02</span></span>
+<span id="cb31-13"><a href="#cb31-13" tabindex="-1"></a><span class="co">#> [46] 1.431341e-02 1.474252e-02 1.535602e-02 1.610024e-02 1.627307e-02</span></span>
+<span id="cb31-14"><a href="#cb31-14" tabindex="-1"></a><span class="co">#> [51] 1.624561e-02 1.614926e-02 1.640552e-02 1.622923e-02 1.614036e-02</span></span>
+<span id="cb31-15"><a href="#cb31-15" tabindex="-1"></a><span class="co">#> [56] 1.559669e-02 1.497483e-02 1.440294e-02 1.380555e-02 1.326929e-02</span></span>
+<span id="cb31-16"><a href="#cb31-16" tabindex="-1"></a><span class="co">#> [61] 1.297614e-02 1.235557e-02 1.150436e-02 1.096556e-02 1.067262e-02</span></span>
+<span id="cb31-17"><a href="#cb31-17" tabindex="-1"></a><span class="co">#> [66] 1.024972e-02 1.007565e-02 1.007801e-02 1.041158e-02 1.033101e-02</span></span>
+<span id="cb31-18"><a href="#cb31-18" tabindex="-1"></a><span class="co">#> [71] 9.974142e-03 7.170591e-03 8.164682e-03 8.929619e-03 8.506759e-03</span></span>
+<span id="cb31-19"><a href="#cb31-19" tabindex="-1"></a><span class="co">#> [76] 9.195433e-03 9.656996e-03 1.012315e-02 7.949747e-03 5.845014e-03</span></span>
+<span id="cb31-20"><a href="#cb31-20" tabindex="-1"></a><span class="co">#> [81] 5.360872e-03 5.043744e-03 4.724615e-03 4.477298e-03 4.308243e-03</span></span>
+<span id="cb31-21"><a href="#cb31-21" tabindex="-1"></a><span class="co">#> [86] 3.996696e-03 3.728356e-03 3.335648e-03 2.879870e-03 2.421901e-03</span></span>
+<span id="cb31-22"><a href="#cb31-22" tabindex="-1"></a><span class="co">#> [91] 2.071341e-03 1.775088e-03 1.462955e-03 1.164619e-03 9.120986e-04</span></span>
+<span id="cb31-23"><a href="#cb31-23" tabindex="-1"></a><span class="co">#> [96] 6.678433e-04 4.593908e-04 2.819566e-04 1.294273e-04 6.713604e-05</span></span>
+<span id="cb31-24"><a href="#cb31-24" tabindex="-1"></a><span class="co">#> [101] 4.608583e-05 2.945073e-05 2.359083e-05 1.503001e-05 8.048140e-06</span></span>
+<span id="cb31-25"><a href="#cb31-25" tabindex="-1"></a><span class="co">#> [106] 4.288931e-06 1.918822e-06 7.934465e-07 3.830824e-07 0.000000e+00</span></span>
+<span id="cb31-26"><a href="#cb31-26" tabindex="-1"></a><span class="co">#> [111] 1.932463e-08</span></span>
+<span id="cb31-27"><a href="#cb31-27" tabindex="-1"></a></span>
+<span id="cb31-28"><a href="#cb31-28" tabindex="-1"></a><span class="co"># Clean up the table (remove all non-essential data, but do not modify results)</span></span>
+<span id="cb31-29"><a href="#cb31-29" tabindex="-1"></a>PopulationTable.AT2017.Cohort.FINAL <span class="ot">=</span> PopulationTable.AT2017.trend.ex <span class="sc">%>%</span></span>
+<span id="cb31-30"><a href="#cb31-30" tabindex="-1"></a> <span class="fu">mT.cleanup</span>() <span class="sc">%>%</span></span>
+<span id="cb31-31"><a href="#cb31-31" tabindex="-1"></a> <span class="fu">mT.round</span>(<span class="at">digits =</span> <span class="dv">6</span>) <span class="sc">%>%</span></span>
+<span id="cb31-32"><a href="#cb31-32" tabindex="-1"></a> <span class="fu">mT.setName</span>(<span class="st">"Austrian Population Mortality, Period 2017 with trend projection"</span>)</span></code></pre></div>
+<p>Other functions that might be useful before publishing a table are: *
+<code>mT.translate()</code>, which simply moves the base year of the
+internal representation of a cohort life table to a different year (by
+applying the trend according to the translation), but leaves cohort
+death probabilities unchanged. * <code>mT.round()</code>, which rounds
+the probabilities of the base table and the trend to the given number of
+digits.</p>
+<p>When using a population mortality table like the one we just derived
+in insurance contracts, the actuary often considers adding a certain
+security loading (e.g. 25% on all death probabilities) to ensure
+sufficient security and ensure the legal requirement of a prudent
+person. This can be done with the function
+<code>mT.scaleProbs()</code>:</p>
+<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb32-1"><a href="#cb32-1" tabindex="-1"></a>TableForProduct <span class="ot">=</span> PopulationTable.AT2017.Cohort.FINAL <span class="sc">%>%</span></span>
+<span id="cb32-2"><a href="#cb32-2" tabindex="-1"></a> <span class="fu">mT.scaleProbs</span>(<span class="at">factor =</span> <span class="fl">1.25</span>, <span class="at">name.postfix =</span> <span class="st">"10% security added"</span>)</span>
+<span id="cb32-3"><a href="#cb32-3" tabindex="-1"></a></span>
+<span id="cb32-4"><a href="#cb32-4" tabindex="-1"></a><span class="fu">plotMortalityTables</span>(TableForProduct, PopulationTable.AT2017.Cohort.FINAL, </span>
+<span id="cb32-5"><a href="#cb32-5" tabindex="-1"></a> <span class="at">title =</span> <span class="st">"Adding a security loading of 25%"</span>, <span class="at">Period =</span> <span class="dv">2017</span>, <span class="at">legend.position =</span> <span class="st">"bottom"</span>)</span></code></pre></div>
+<p><img 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FKWvD569ubTly8dXfXh8Dc35BJgHLu+NDBAqrLprP7OVlv/6ttAu/fz99enSZThw/oNa5ITs2H9bRt2xhbU6dipLs+AeG3+lDf/2Lxr65IPh01YnkGAceg6slwDk+RFn/5V2O+jt9vYAeMaEuLGile2bbyoAdDGbdgSJ7AuQcFuNvcNgBC6Z1a7+v9ASMGaYa4sACNv9/016a5Nwon36vEAwPqM26YhhbsmhN01koqReXi6lhkrVW0By12x5B1+TLr9ulLKb13lcKd3W8npL9o5lT0r6+Dj41jZYCrx8rftyo57Y1TBob4cALCeL/+rLl+6+ND7TSuMkgNgPZ9bkChSWnL2m063v6gZ5va5aUYW8MKf8QZKKcnb82Zj+3LPZl07fn1WZ6pI+7s2sh716nmwUL6TXZkdtzCwTbv5ZXfW9Pq8z/idt3dXuvlb19vn9RmHvosyK+nTVSGaLvbnnt7lrygwskBTL7Nqms7a72y19afVdbIzHpjkb/lKBhfy5mEjydryWplBe6bgvG+/P64a727Wwm2vBqhafhF7u2+lMfbr9o4MMHJXf383BQOMQ9svz+G4OYRqMRv7/V64c82uQgLAN+73XMjddeeb9evjzwGQ7G3rYkqce/569PCf7498NirEVWXv1bDX28tWvlNm+DBTXYH7p2wxc9u+3yd0b+CpUtj7NBv2zZZFL/tV1r5cw7fW/vvFsNYh7o5uwS16T/j90MkFL/iwACR3zS/LUssdQTt2/Gr/4SUzR3RtHOimknO8nbNfRJdRn607smZ8GAegbP7e9qNrPx35TLinSm7n4t+ww7APlx49s+bVenIAYNx6/BhzaPH0F9uEedgrVO7BTToP/2jVfzveb25nqsiaDf8b0irQWSFXedbvNnHhjvlDvO/330LVZ9b8Kd3CPVQyuYOHe+kgdDZg0MjOKgYAGKdnR/T3utfr4HaNp24+ufOHN/o0D3RTyeX2HqGtB775e8zJVWPC+Gqbjlr5na22/tWhRcnJOVX0xGO8+s07vO/XiX2aBjjbyeyc/CKfjf52+/H1r9e/6wq8eGnurJV02KxJpbsua/zetoMLJ3QPV6rVirCub/wRs/2DZvJ72X+EkG1iKH3gk5eoDFJ489LNQgKsc1CjYBcWAECz8aXAF1cUsKFvHbz6Y4cK/Z+eBlL8N+0bf3BSdB2yKmn1UFebnAMd31mEkG2ysSP4mku6OKd/i2bNmjVrM3LOiaySkuzzK97+dGMhBc7v2T7Nns4cQPKOLdsQJwLr/tyIXraZ3QHfWYSQrcIj+EeFZG5767mRv50rLnN6nWHdWk9fvWV2D09bzW4PimYuHBAxbWehTqTAhUzeE/drV5udBB3fWYSQTcIE/ygZ0o6tX7npcOzNXB3r4BMW1XXQsP7NvZ7Ggzya9Vff0Df2815hLftMnP39xNYutp0I8Z1FCNkcTPAIIYRQLYTX4BFCCKFaCBM8QgghVAthgkcIIYRqIUzwCCGEUC2ECR4hhBCqhTDBI4QQQrWQLa0Hn5CQEBcX9wgDSpJEKeVL1/mWJIllWfNC4pIkcdztRT8IIYx5HRcAURTNz7o9pz/LYpCyLYkNiw1rQ0EeU8Oan/XUBqnYsDa9OzUnSLmG9fb27tChA1RgSwn+2LFjBoMhNDT0UQXU6/WSJNnb25vvKhQKc2vqdDqlUmm6bTQaWZY1t2bZTZIkiaKoUCgeUxBKqV6vf4AgOp3Ozs7OKkHKNawVa/Lkg3AcZ/58lgsiSZJcLn+YIPfVsI+1JrUsCDYsNqxtBSnbsISQtWvXWkzwtrRc7JIlS86cOfMIA6rV6vz8/LJ3TT+LTIqKisy3S0pKDAaDxU2CIGi12ocMYjQaKwtCCHmwIMXFxdYKUq5hrViTqoMUFxc/WBBCSGVBjEZjZUFKSkoeMkjFhrVWTWpZELVaXVBQUBNqUsuCYMM+piBlG1YUxWnTplFL8Bo8QgghVAthgkcIIYRqIUzwCCGEUC2ECR4hhBCqhTDBI4QQQrUQJniEEEKoFsIEjxBCCNVCmOARQgihWggTPEIIIVQLYYJHCCGEaiFM8AghhFAtVIMWm6Hqi6t+33TDyDi1G/tG9zpc9c9ACCGEkGU15wieZsdsyen4zoyZY3yObYk1Wrs6CCGE0CNlJDTNKNAn9XI15wheSk8jgS3sgPUJcS9IK6TNvRhrVwkhhBC6DyKlGUbjNbUmUyLZkpRqMGYajTdLdHmSlCUI+YIIANejGgeXLvz6WNWcBA+UAtzO6ZQ8sV84CCGE0H2iAKlGIbOw6IbBmKzTX9frk7QlaYKYYTSK9HYCkzGMt1wWoFC4c1xTJ0dPmcxbLvPiOEf2CV2CfmIJXkg5cVpq1i5YYbpLC86tmLt4X3yRIrDdiEnRnfx4zq8OdyzVCD6FKYWuAa54+I4QQqhGKBKlqyUlscXq+BLddUG4VqK7ptPrCTFtdZfxIXZ2ATJZe1fnIIVdoJ3cCyBAaedvb2/KZMXFxU5OTqbCgiCIovhkqv2EErwhZffi30+1/bltsIIBAKo9seS3495T5nxQP3fT55//safBZ328vLv2dVv46y9HqKzVS/3kt59ICNFoNKbber2+uLg4Pz+/sldhWdbZ2fl+60YpLXu73N1qN5luPL4g9x6/5gSpYsdtcXcslqw2/uMIUvGutWpSy4JUvGvTu1NzglS8axO7YyTkkloTq9Ve1OrOFBZdMxpTDbf7hfnIZPXtVW2cHF/y8gxgoaGzc6hS6cRzlFKtVuvg4GAqptfrOY4rG/Rhdkej0QiCoNFozL8MSkpKRFEkhACAJEmV/WJgyr0Tjx7N3vfDrCUnM9VSk4mLPu3pzACA8eRP0RtDv/tqgDcDJUe+eX13018+623xoD0zM7Nfv36m2x4eHkePHlWr1VW82kcffTRt2rTHsBsIIYRqJ4HSy3rDeZ3e9BdvMAqUAoCPjI9QKBrYKeop5KY/Z+5JD/A6evTowIEDq8jUDMO0bdv26NGjFTc9/iN4xqv7u/O6CyfnjNte+hDNT89k/Tq5MwAACj9/t5z0LAKultrNyclp5syZpttHjx5t1aqVj49PpS/FMD179jT/hqqWwWCQJEmlUpnvyuVyhrn9Q0Ov19vZ2ZluC4LAMAzP8xU3EUJEUZTL5Q8TRJIkSZIsBqGUGgyGBwii1+sVCoVVgpRrWCvW5MkHYVmWK/0KKBeEECKTyR4myH017GOtSS0LYjAYCCHK0n5Ptr47NSdITf6PzWPYk9qSY8XqExrthRKdgRAWoJ7SrplK9ZKnR1MHVRN7lTvPW71hn3nmmfnz5xuNRkEQzM8yHb6bvpQopRazO1ipkx01GIwKpZ0pBzJKlcJYbKjk14lKpRo0aJDptlqtbty4cVRU1KOqh6mNzK0piqJCoWDZ20MHjUajeROllOM481d82U2mcyMPGUQQBEEQLAahlJbddO9BBEGwVpByDWvFmlQdRBTFBwtiZ2dn/kCWC8LzvPlDWC5I2ZIPFqRiw1qrJrUsiCiKlNKaUJNaFqSmNWwGQExhcUxh0YH8ghSjAAC+cnlbJ8cBLk7PeLhHOTo4cpxOp6tRDWtvbz9+/Hi4+0K+6XS9i4sLAEiSlJiYCJZYJcEzCoXcmKM35XSq0xnlCsU9dKq7fPny+vXrTTsfFBT03XffPd5qIoQQsnE5grCvoGhnbt7+ouIUgxEAIuxVvZydOru7dXBxCrGzM13kdnR0fJSvajRCQT7RldCiQlAX8bm5gtEAxUVUqwG1Gia/Cw89TO7vv/8+cuSI6bZOp7NYxjoJ3s3Ph5zKKKTgwYAxK6PAs5H3Pcy4o9Pp0tPTTbcfe9cBhBBCtolQOKFWr0/PjLl2/ZxaQwDq2tn1dnbq4eHe2cXZWy5Tq9UODg7ma6kPrqSEFubT/DySl8vnZAtaDS3Mp4WFrK6EANzuZC+TsQ6O4OwC9g6sty9RKhn2EQwTy8rKSk5ONt12c3OzWMY64+Bljdo1X7Bmd1L3ESGFB/dcCWo32uUe9rdFixZjxox5hKfoEUII1RpaSTpQpN5RWLQtvyDbKDhxbA831/G+3j3dXPw5ThRF5cMcNwtGSE9jsjKl4kKSk0Nzs2W52Ua9/vZWnmecXMDdna0TCI2aCvb2nIubzN2dcXQGlarcMDn6KIbJTZ8+/csvvwQASZLeeecdi2Wsk+AZ+9bR76T8OvftCXres/Vrb/bCWesQQgg9iGJR2pqXvy4nb2d+gY6QMKXdSC/P/u5uTVlwLx04LQjC/QWVJJqdSTLS+Vs3hII8mp1FC/KBUgZAVCoZd0/Gw4uEhsu9fVh3D8bNAxwdNVqtXel5fkGnY3ieKb0Gby1PKsHLWr+1rHWZ+4xDw8Ez5gy+rxgnTpyYPXu26X0KCAg4cODAIzjBghBCyAbpCNmYk/tPRtb+Yo2ekKYO9tP9vF/09GjifPtYubi4+D7CCQLJSKOpt9ib10lmhiEnCyQJADgHR/D1Yxs2Yrx8JDcPyd1D6e5heoZereZKz/M/+avGM2fO3LVrl+l2UFCQxTI1aKraanl6enbp0sXUb9Db2xuzO0IIPW0Ihb0Fhf9k527IyVNLUhOl3SfBAYM93cOVSlMH+HsPRXOzyc0b9OZ12c1kQ3YWEAIsSz29WD9/rmUbxrcO41tHLUnms+tEEOBJTUJXrXbt2pkqRilNSkqyWMaWEnxoaOjzzz+P1+ARQugplKzTL8rMWpyRlW4UguwUU/x9R3p6BFJyHx3gCaEZaSQ5kU+4KqTdolotADDuHtTXX9a6PeMfyPrV0YkSw/Oc+ez6fZ0GeIL69+8/evRoqIHX4BFCCKF7oSdkQ17+33kFBwqKVBz3gotTtH+dTq7ODIBphFu1EWhWJr16iUlMMKTcAJ0OOI7xrcO2bMsGhzKBwWDvYNBolOZfCaLlIWe2yJYSfHJy8rFjx0yn6H18fN58801r1wghhNDjcktv+D0986+MrBxBaO3k8Ee9sOFenoyuxMHBofoLtDoddyVOTLlBEq7SokJgWcY/kGvXkQ2tywaFqg0GhfUunz8SW7dujYuLAwBKaWpqqsUytpTgc3JyYmJiTJ3s/P39p02bhpfhEUKolqEAB9WaRbfSt+Tl27HsSE/38Z7urdxvD/WuajESACjIlxKukCtx5HoSL0nE3YNtGMnWayAFhog8rzAPkzMYHusuPAFHjx6tVZ3s2rRpEx0djdfgEUKoVjISuio754fU9FiNNlyp/D4seKyPt4qSatdXpVkZ5OJ55sJZkp1FWJYNCeP7DCgJDHYMCjEVkGpS/7hH4quvvpo3bx7gNXiEEEI1WbFEFmVmzM3MSjMYu7k6rw0LfjGgjukMrSCQyp5Fs7O4U8eN8ZdodhbI5BBen+3yrCwiEpQqAKA1tX/cE4MJHiGEkNXkCsKc1PTfUtNLCB3q5fGOv1+Uo0NxcXEV11+puphcOCudO03TUliZnImI5Hv2ZRtE6EQJeB6sPb1MzWFLCT4hIWH37t2m1WD9/f0//vhja9cIIYTQA8oUhFlJ1+enZxFKX/F0nx5QJ9TBvqoniCK5fJE/fkS4ngQAbL2G3PCXdcGhdq6lM7HXog7w1Vq3bt2pU6cAgFKanZ1tsYwtJXi1Wh0fH2+6nZaWRinFTnYIIWRzMo3G2bdSF6Rn8Qwzwc/nnQA/Z0mqao6a7Czx4jly9iTVasHHj+v7AtcsinFwpJTSexgmVytdvnz5zJkzpts1a7GZB4OLzSCEkE3LE8TvU9N/S8tgACZ7e3wQGuIu46GyBU8licRdoP8dZG9el5RKrllLrnU7jaOz3SNZCM7GffLJJ+b14LGTHUIIIavRSNLsjKy52bkCoRPq+LwfUEdpMDjKKslB6mLxxH/kxH9UXcwEBJEXhilbtL59cV1dzUA5ZIYJHiGE0GMkUrowI+uzG7cKRDHa12dmoH8dhZxSqrE0GJ1mpEmH9isunJUYlmvWgmvfUfTyAVHErnMPABM8QgihxyVGrfn42vU4bUk/d7cvfL2auLtZPrtOKb12VTh6iFyLZ1ygm3UAACAASURBVBydpM7dlc90ZeztAQDud6VXVMqWEnxsbOySJUsqdsR49tln33vvPatUCSGEkEVn1Zop8YlHNdpOLk7Ho5q0cXJUWzy7Tim5eJ7Zu5NmZYCPLz9kJNe8lV6rvZ3dURnbtm37+eefKaWSJFFKzdmwsv6JtpTgeZ53dHS0s7Mr93jFRxBCCFlLtlH48PrNRRlZIQrFPyGBI4MCLJcjRDpzUjqwh+ZkMUEhzMvR8ojG8NT3nquCTCYzdawTRZFSKiu9bGG5i6JtJfiIiIhhw4ZhL3qEEKqZBEp/zcr5LiuHAnwdFvyqsxNLJAvlCJFOn5Dt2ykWFrD1GvAvDjP41OF5HrN71Xr27NmzZ08A0Gg0oihiL3qEEEJPwsHCoonXkq9qS8b4en8ZEugjl2s0GrHcPLOUkgtnxD07aW42rVtf/tI4NjAIAKCSY1D0MDDBI4QQeihZRmFm4o3lWdlNHex31Q/r4etjsRgbf1k4vJ9mZrB163FDXypx87izCjt6DDDBI4QQekCEwvysnM9SMyjQX8JDJ/j5aC31pCM3r0vbNvE3rzPBofxrU9iwcEopPK2T0D0xmOARQgg9iDhtyWvxiceK1SM93X8ID/WRyyuWYfJzhW0bycXzjIeXOGi4qnU7nITuibGlBJ+cnHzs2DFTtwI/P7+pU6dau0YIIfQ0Eij95lbqpzdS/OTyzQ3Ce7u7yipMRENLtNyOzbJzp6i9Az9oGNeyrUGrtUpta6Xt27fHxsYCAKU0NTXVYhlbSvA5OTkxMTGCIACAn5/flClT8JcgQgg9YUeKil+9eu26wfiWv9+s4EDGWGFCOkKk40fEPdsZQRA7dLZ/9jmwdHCPHsbBgwf37t1ruh0UFGSxjC0l+DZt2kRHR+MwOYQQsooSicy8fvPX1PTGKuXJFk2bO9gDQLnu7+z1JOP+nTQrk23WwtCpu6iyx+z+OHzzzTc4TA4hhNAj8F9R8asJSdd1+umB/tPdXd0rrN1OiwrFLRtkF8+Df6BswptsUIhBowFRtEptEWCCRwghVLUSiUy/lbYwJ6+Fo8PZls0aqZSach3gJUk6dljcs4PheeG5gQ6duuKUNTUBJniEEEKVOlGsfvnqtZt6wxchgdMD/XmGoZTeVeLmdbJ9E8nO4lq15foM0IsSZvcaAhM8QgghC0RKv7mV+vH1W/VVyn31w9p7eZbv16zTiTv+ZU8eAx9f0zl5AIDiYqvUFlWECR4hhFB5V0p0YxKSYkt07wXUmRUcaNCWn5SGXIkTN66hJVrauQfX9VkWF/2qeSqcbKnBFi1aVL9+/aZNmz6qgIIgEEIUCoX5Ls/z5p+oRqNRXtr5UxRFhmE4jjOXNA/6NK3cZ16t78GCEEIIIRaDUEoFQbCtIFU0bI3aHVEUzSXvK0jZd79cEJZlWZa1GIRSWtm/0D0Gqdiw1qpJFUHK3bWJIIIgUErN/1G2vjsPGYQCLMjO/Tg1w1fGLwgJauOgKh+kuJjdvom7dpWGhUvPDRQcHGtIw0qSxDBMZUEq+xTbYpCyDStJ0scff/zLL79ABbZ0BF9UVHTp0qWSkhIA8PT0fPhMr9VqBUGwL111WKvVKpVKc2sSQsybdDodx3Hmf1O1Wm3eJIqi0WhUqVQPE0QQBEEQLAahlGo0mgcIotFoVCqVVYKUa1gr1qTqIFqt9oGDmH8llAvC87z5Q1guiCiKSqXyYYJYbFir1KSWBdFqtaIoYsOq1WqtTB6dkLQ1L/8lT48fA/08HRzKBZFOH5e2bQKG4YaN4pq3woa11n9scnJyVlYWABBC1JamBwbbSvAXL15ct26daU9cXV3z8vIeyUQ3ZYMwDFPubtnH733TUx6k4l2b3p2aE6TiXZvenZoTpOJdm96dBw6yr1gz6Va8jpAVEfUGu7qYTmvdaSCNWty4hly+yDaM1Pfs6+hXp9qaVLxrc21SM4MAwLvvvrtnzx7Tg+3atQNLbCnBt27detCgQREREQDg7Oxc7n8IIYTQg9ER8m7SjXlpGc+6uixpEO6nkJvmDDVjz50W9u1keF42ahwT2RTXibG6JUuW6PV6ACCE/PDDDxbL2FKCVyqVfn5+oaGh1q4IQgjVHpe0JSMux8frdF/W8Z0RHlruyImqi8V1K/mrl9imUfzzQxh7exvquVWLqVQqPz8/AJAkydwvpxxbSvAIIYQereXZuVOSb/or5MeaN6lLSbnsTi6eFzeupoSIA4eo2j6D501tCyZ4hBB6GhWI4thryf/mF4718folPNSB44rLDmHX6dgtG4TYs2yDCNngkUbA1G57MMEjhNBT53ixesTl+HxRXFY/bJSvT7mtJPkaWbUMdDp+0HCudTtgGKiknzaqyTDBI4TQU4QC/Jya/l7yjUh7+y3169Yvt2aMJIm7t0kH9zH+gdIrr3F1/K1UTfQIYIJHCKGnRa4gjEq8vqdIPcXf99vQYGK4ayl3Ji/HuGQ+zUjjOnenXXsCdqazcZjgEULoqfBfUfHwy/EaUdoY2fB5Dze4eyl36cRR2eb14OQke2MaGxQiCAKu9GrrMMEjhFAtRwF+SU1/L/lGY3v77eH+jT3c7tqsKxHWryIXz9PGzeVDRkIlY66QzcEEjxBCtZlaIuMux6/LyXvNz+eXsBBjibbsVppyy7h2OdVq+OGjtWH1lZjdaxFM8AghVGudVmtevBxfSMjaRg0Ge7pTSo3mbYQwMXvoof2sf4Bs/GTGzR1Xeq1lbCnBq9XqhIQE0yRKrq6uOKUdQghVYWFG1tRryXXtFHsjG4arlGU30eIicdXfTHIi07GbrHc/KF2rDdmK7OzspKQkACCEaLVai2VsKcGfPXvWvNiMs7NzQUEBTquEEEIV6QmZFp+4MCPrJW/PH/y8vZR3LdZOEhPEVX8DIfSlsWyDRpjdbdHEiRP37dsHtWaxmaioqJ49e4aHhwOAh4cHZneEEKrout4w5EpCvN7we72wN/x87lpLlBBu/y7h2GE2NJwf8bKel1UeBtVoCxYsKCgoAABCyIIFCyyWsaUE7+joWK9evaioKGtXBCGEaqhd+YUjr8Tbs+yhZo1bOzmU3USLCsUVS7hbN/gefbhuPYFlQaerLA6q4dzc3EzXqSVJMq8TX44tJXiEEEKVoQDf3kr98Pqt9k4Oy8JCgu7O7iThirhqGbCs8NJYRWRTa1USPUmY4BFCyOZpCXn10lXTWLg5wQGMJN3ZRoi4ZwfZv4sNCeNGvGJgWOtVEz1RmOARQsi2Jer0/eOTUozCioh6I7w8BUEwT0FHNWrZisXk5nWuWy++R2/KMKDRWLOu6AnCBI8QQjZsT0Hh8MvxTix7tHnjJnevHENuJIv/LGZEgR/7Olc/AgBwevmnCiZ4hBCyVQvSMydfS27r5Lg4sE7Y3dldOnFU/Hct4+MnvDBM7h9grRoiK8IEjxBCtsdAyMTE60uycl7z8/ktPFRXdiyc0cBsWC3GXeCiWvGDhhv0eutVE1kTJniEELIx2Ubh+avXzmpLFtSvO97XG8qsC0dzc8jShUxBPj90FNeiNQAAJvinFSZ4hBCyJRe1Jf0vXtaK0s5GDbq637UuHLkSJ6xeBnZKGj2RC8bJvJ92mOARQshm7MwvGH453lsu3xwR1tCxzEh3SqWYveLOLWxIXTpsFFHYVR4DPS0wwSOEkG1YnJP3Tkp6N1fn1RH1FYJwZ4NeL1u3Qrx2levcg+/VV5AkEMXKw6CnBSZ4hBCq6URKJ19Lnp+eOdXf98ewEI5hdKUJnublCEsXMvn5spfGso2bAQCUneUGPcUwwSOEUI2mlqRhl+J3FxT+EOD3dlhI2U3keqK4bBHIZOLL0Xb1GlirhqhmwgSPEEI1V4bROCDu6tUS3YZG9bsq5GU30VPHha0b2MBgftQ4PcEZbFB59zMpsXB80Q+7bhlu36Pqy6s/mXtYqPIp90u8ten3DTfJI42JEEK26bJO3+7cxXSD8WCzyP5lO8xLEvvvOvrvWq5NB9lrUxgHR+vVEdVc95PgueBQcdHQrqPmHEy4sOb9Ps+M2+HRvMGjOwVAC86u/um3bYl6CX+JIoSeevsLip6NT3TiuONRTVqU6TBPtVph4W8Qe5YZOIR/fjCwuHgMsux+8jPr0+X9VVubT+3cp+F0RYcv9u3/IEr1CKvCuEYNe8vB8O2ZRxgTIYRs0ers3FeuXmttr9rcpJGL7M4XNc3NEZbMp1oNGfUqH17fijVENd/9/PQjt7a+36fHZyWT9t2IX9nr1Os9Xv75aM7DHm1Lt2KWLliwaG8ydvtECCEAgF/TMkZeju/j5rqubrAzz5kfZ68nGn/7HgiVT3wLQsKsWENkE+7nCF7KVod+tPPLZ3x4APhwfaehm37YFy+295RV8Rwh5cRpqVm7YIXpLi04t2Lu4n3xRYrAdiMmRXfy47nALq+81uXBdwAhhGoNCvBlWsaXqRmT6vj+UjdUq7kzw7x0/Ai/eT0bFi57aSwoVaDTVREHIagmwZPsuEMXs8ocWnvVhUsH910qvevUrVtklQEMKbsX/36q7c9tgxUMAFDtiSW/HfeeMueD+rmbPv/8jz0NPuvjxTzkHiCEUK0gUhp9LXl5du5XoUEzAv3vbKBU3P6vdGg/iWqlGPISXnRH94ihVSwPbNz9TptXF8amqgkwLM8xkihRhpMrlXLT/xcXMmXnma/aWjyCp9n7fpi15GSmWmoycdGnPZ0ZADCe/Cl6Y+h3Xw3wZqDkyDev7276y2e9XavM8NnZ2cOHDzfdViqV586d01X+u5VhmA8//HDMmDHV7XVpHSk1Pct813y73N0qNt17yacnCDbsYwqCDfuYgjyS+A/5cgZKo2+l7VZr59TxGenqbN7EEiLfvkl29ZKxfWdD+0621bAY5OGDnD179qWXXhKESkesMQwTGRl56NChipuqPACXdx07PGBJSbsffv18TOdwV6Yo8dDSj9+cRz/YvWJUMFfVMwEYr+7vzusunJwzbru55vnpmaxfJ3cGAEDh5++Wk55FwLXKQEql8oUXXjDdvnTpkq+vr7Ozc2WFWZbt2LGjnd29TsJsNBoJIebyRqNRJpOZG9dgMCgUty8tiKLIMAzHcRU3EUIkSZLJZBjEvMlWGtZoNMrl8gcIYn5WxSAsy7KlB1jlghBCeJ5/mCCCIEiSVLZhrVWTWhZEEARCSNl/4CdcE1EmG33t+hGNdnFI4ABnR3MQoajIbuMqJj2VvDCUjWzGYcM+fUEaNGgQHR1tMBgkSTJ/QRFCKKWmu5TSmzdvgiVVJnjh9NJFKYN+3vN2T3sAAHAN7/Hmoh+vNJw67/Twb9vc9wA5ajAYFUo705cro1QpjMWG6vroOTo6TpkyxXR76dKljRs3joqKut8XrrRClAqCYG9vb76rUqnMb4kkSeZNOp2O4zhzu5fdJIqi0WhUqVQPE0QQBEEQLAahlD5YEEKItYKUa1gr1qTqIISQBw5i+pVQMQjP8+afAuWCiKKoVCofJohGo6GUlmtYq9SklgXRaDSiKFqrYXMNxuHXrl/UlmyJjOjqaG8OQvNyDX8vZA16fvxkNjgUG/bpDBIQEPDVV18BQHFxsZOTU9mGdXFxMQV/5513wJKqr8HnZuXaeTndNXeS3NlFmZOeJT3AJHiMQiE35uhNOZ3qdEa5QsFU85yykpOTjx07ZtqlgICASZMm3W8NEEKoRkk1GHsmJOVJ0oFmka0cHcxnYmlairDoD+B5fuKbrKe3dSuJaqBdu3adO3cOACilqampFstUmaVlTds1z/rf7D9GLZ/UzJkFAFIUu2D28pSG70Q8yPw2jJufDzmVUUjBgwFjVkaBZyPv++kskpOTExMTY/oAeHt7T5w4seylC4QQsi1JOn2PC3FGQg41axxhf2daEZKUIPz9J+PiJgwdrfDwsmINUY21d+/e/fv3m24HBQVZLFNlomYDx/787a7nprUK/bVVq4aekHPl1Klkpt2srePrVnMF3jJZo3bNF6zZndR9REjhwT1XgtqNdrmfBN2mTZvo6OhHeIoeIYSs5UqJ7tkLcTKG2RYeWja7Q+w54d+1bHCo7OVog4CrviLLvvvuu4c7RQ9g1+iNDbFd96xbv//czXwxtGmftwcMf76ld1Uj36vA2LeOfifl17lvT9Dznq1fe7MXjpFDCD2Nzmm0/S4nuMv4PU0jnQx68+P0v4Pszi1s0yjZ0FHAcSCoqwiCUNWqP9XOOtfv9erMXg8WXtb6rWWty9xnHBoOnjFn8IMFi42NXbJkianzob+//+LFix8sDkIIWdFRtebFhKRQO7tdTRt5ymTFpQle3LWV7t9N2z4jGzgE8PojqtIvv/xy+PBh021zn/xybGm5WJ7nHR0dTWOEzJ0JEULIhuwrKHw+PqmJvXJ7k0Yu5u9lSsWtG6UjMUynbqRbL8zuqFoqlcrV1dV0u7LpYWwpwUdERAwbNgyvwSOEbNSO/IIX4662cFD9G1H/TnaXJGHlUhJ7ju8/iLTpACJed0fVi46Ofvfdd+FhrsEjhBB6JLbk5Q+5FN/NxXl5WJBj6YwlIBhla5eTG8my4aPZZi1J5ROWIXS/qp7o5shXIw91WjHzmTKd6mjulplvJc9eNu1x16yilJSUixcv7tmzBwBCQkKGDh365OuAEEIPYF1+4Ws3Unq7ua5tVJ8aDLcf1euFJfOZlFuyl8ezDSKsWkFkY06cOHH+/HkAoJRmZGRYLGM5wdOis6sXH0gzxK7ZdiH+R8WJMqXE1J3LdtSZ/RiqW63k5OR169ap1WoACAoKwgSPELIJf2ZkvXH91jAvz78bhvMMc/t6qa5EWPQ7ycwUh422w+yO7tOCBQs2bNgAAAzDtGvXzmKZShJ8SeLhzZtijXlpQo5xy6bkMh0+GNau84zXH0Ntq9e5c+fJkyfjNXiEkA35JTXjzcTkUR5uixuGc+Z1RDRq49IFtLBQNn6SwcXNujVEtuivv/5av349PMA1eNZ36Nz9Q8G4b0bvvT12zu4ut1gKIYRQVb69lfZ+8o03/Hy+9vEyZ3coKqR/L2QMBvnrUxlfPygutmodUa1lOcHfvBir86jbwKflGz97FF65cKHcZtalaWPLE+MhhBAy+eZW6ozrt6YH1PkmNEij0ZgepLk57KLfAUA24U3Gw9OqFUS1nOUEP7111LnJRy5/kTq99ZC1+gqb7YZQ3ZrHXbOKynay8/PzGz169JOvA0IIVYsCfJia8WtWzqzgwE+DAyi9vW4mzcoQFs4FmZwd9wZmd/QwDh06dOXKFXiATnYrikoIK5PxrVcU6ZdVXNGVeaCZ6B/arVu3tm3bZhrR7+fnN2rUKFxsBiFU0xAKE64lLczK+SY06L1Af/PjND1N+HMuqOzJ6GjWxdWKNUS1wOrVq3fs2AEADMNERkZaLGN5NTdeLpfzDADLyxW85uquv3/7/vt/E1kxMzFFxykUcuuMnu/QocOWLVvy8/Pz8/Pj4uIwuyOEahqJ0nHx1xamZ34d4Dc9oI75cTYjTVj4Gzg4yF6fAjgRJ3poc+fONWXD7Ozs5s2bWyxTTao2Xp0/pMe0fYILr+lU/62Wt16PnFU8+s9N84aGPuB6MwghVFsZCHnpUvzmvPxFDcJftFeaHyfXE7llf4K3r/zVCaBUQSUTiyL0aFW5HjvNWvn+jNiuy64k/f6cigEu9M2tRz8P3Pb6tOVPqnoIIWQbtJI0OCF5W37+moj6Y3zuLOJOEq6Ki+aDj588ehIoVVVEQOjRqjLBC+cOn/AaMvmFgNLDddYlatKnr/geP/gEaoYQQrYiyyj0iLt6QqPd3jhikKe7+XFy9ZKwdCEbECSOeAXs7KxYQ/QUqvoUPcdxBp2OlH1I0mp0csVjrVNlEhISdu/e7eDgUO7xjh07jho1yipVQgihazpd79jLalHa1qBuJ1cX8+Mk9py4ehkbXp9/aZzePD0tQg/q2LFjS5YsAQBBECilcrkcACil2dnZFstXmeBlrfo+a4z+4qfRy0IBACgpvrJu5tt/C73+edTVvidqtTo+Pr7i425uOA8UQsg6ThZr+sddtme5mMYNQ2R3vlHZ2HPi1g1sZFPZ8JcpywImePTQbt68eebMGQAghFBKudIliypLglUmeMal/7dLxg0c2SGomJXke8M81Jk6754fr/y+76Ou9j1p0aLFmDFjcKpahFANsb2w+NWbKY1Uqq2NI1wZEEtXepWOHea3rOeat+SHvAQsC7TiaGOE7tvw4cOHDx8OABqNRhRFFxcXeJjlYhmvZ78+kvT66eNnLt8s5DzCWjzzTIQnzUwH8HvkVUcIIRvyU2r6u9dv9XZzWR1R357jhNKVXqWYveKOzaRFG/ngEcBW2c8Jocep6uVi//t7ufPgsZEhrXuGtAYAAGPq/u9HTP2OxmWteiLVQwihGsdI6ORrSQszssZ7us+LqM+XmZND3LND2ruD69LD2KEL4FwdyKqqHianPjSz54s/ndMA3M7tUY16fn6x8fSJT6ZyCCFU0+QLYu/YS4szs3+uG/p9gN+d7E4ps3OLKbvzfQZgdkdWV+URvLzXD5umvDCgd//sT3ten/f12pTAoR/v3jm1mz+uLocQehpd0emHJCQVStKuJo26uToXmxeCE0Wy9h/m4nl+4BCuXUer1hGh26q+Bs84t5mxeadyyHNTP6LdZu3a+X53a+b2jIyMGzdunD59GgB8fHwGDBhgvboghJ46q7Jzx8cn1pHLjkc1CVfemagO9Drh7z/hRjJ5YSjXpoP1KoieIqdPn05OTgYASmlOTo7FMpYTfElxkWDu9Rk6dtE6w+jBP/93PrWgpaMdADAyZycrzMeUkJCwbt06tVoNAP7+/v3798fp6BFCT4CBkHeSbsxNy3jezeXP8DAP5Z0pa2hxkbD4D5qby7w0DkLrWrGS6Kkyb968jRs3AgDDMO3atbNYxvI1+DHeLmX5PfPBvsyMXe+28zHd9x7z+Cpdhc6dO8fExFBKKaUpKSmY3RFCT0Cq0djlfNz89MyvQ4NWhIc683eW02RysoS5P4JaLZ8wjanXwIqVRE+bRYsWmbKhIAitWrWyWMbyEfxPsVc/Jxa3AAAA6/goqocQQjXdhpy88QmJ9hx3sFnj9s6OujLrxJBrV2XLF4Gzi2zcBMbFFUqHySFUQ1hO8H7h9c23qbEoM7PIWHaiBgY72SGEarliUZqamLw0M/tZJ8d/Gjf0lN21hKZ07LC4eT0NCJKPfR2XkEE1U9Wd7MitNa/2Hvf3VS25ax4muyFUt+axVgshhKzoWLH6lavX0gzG2SGBE1xdnMtmd0LEzeul/w5yrdsbuvVSYnZHNVWVCV48M++TNdzoFWfe7+SnLHO1nsE1kRBCtVOJRD5KzfgtK6elk8O2xhHhSjuNRmPeyuh0dN0/5HoS32cA16UHmIfJIVTzVJngpYz0vGZj3h3SPBhnW0QI1X7b8womX0tONRg+Dgr4KDiAZxha5uokTU9llv1FdSWycW+w4dilDtV0Va8m16Rt89yTcQU0zL0mdFgnhBgMhrKdXB6SKIqUUnNASZL0er25c74kSeZNgiBIkiRJUsVNhBBRFB8yiOlxi0EopTYXpIqGtcXdsRjEdNtikDsrjtz9LELu9Fx9sCCiKBJCakJNalkQURQzjMZJcVdX5Oa1d3T4J9i/mbOToNcLZYIwZ04yOzZTN3dp3ATi6Q06XY3dnZoT5DH9x+p0uio+xfcbpFxJGwqiK/0nLBuwLMsJPv7Yf7kEAKDhyG4Lp/Yed3nKC62C3ZWlg0NYjw7t6lt84mOl1+tzcnJSU1MBwMHBwdPT8yEDCoJACJGVXl0TBIHnebZ0cQij0WjeRAhhWdZ8t+wmSZIopQ8ZxPTuWgxiGgVhW0GqaNgatTuiKD5wEPP3S7kgHMfxPG8xiCRJDxnEYsNapSa1KYiR0Lk56d9kZstZdmF46CvenrqSkruC6HTc1g309Am2eUtjr/6cUlmTd6dGBTEtW/7IayKTyR5tkHLfJzU/iCAIWq02Ly/PVMxoNIIllhP8rJ5d1unv3I375NXlZTfbDRbUKy0+8bE6derU+++/b5roxsXFJT8//yGHwrMsyzCMuflYli2bm8tuEgShbEOX3QQAkiQ9ZBBKKSHEYhBK6YMFMW2ySpByDWvFmjy+IOYP5L0HoZQ+ZBCLDWuVmtSaIOty8j5IvnFdpx/p7jqnQbiHTAYA+jJBSGa6fPliWpjPDx7BtWon6nQ1eXdqWhCWZWvIZ6eWBWFZdty4cXv37oUqJ7qxnOBXqgUrJPDqNGnSpF27diEhIQDg7e39kNkdIfQ0O1ei+yT55qHC4q4uzktDAhvJZS53D4QDSqUjMeLOreDkJJ/4NuNXx0o1RciCOXPmZGZmAgAhZNUqy+u7Vj1MDkB3dfUnH/xWNGLj/GEe4rGPu00+337Gj7MGhyured7j4Orq2rhx46ioKCu8NkKotogv0X18/da6nNx6KuW/kQ0HeLhpNBrzlU4TWlggrl1BkhK4qFb6Z5+zc3O3Vm0Rssjf3z8yMhIAJEnavn27xTJVJ3jtwRkDxv1bd+r3TR0YAL7hkKkDLs4Y01vjkjS3x2OoMEIIPUZpRuHL5JtLMrM9ZbIfAutMDgmSWToRyMadF3ZtZXiZbOzrTP0IWmaYHEI2pMoEbzyxen3JiAVrZ/exBwBgXJoM+XSFa2bDMesAEzxCyHbkC+Lnt9L+yMpRsuznIYFT6/iJWk3F7E7zcsVNa/iEq2xkE37QcMbeoewwOYRsS5UJnup0BkcfD0XZx+Ru7k6G1MdbKYQQekR0hPySmv71rTQjJVP9fD4IDnDleQAoP0ONJElHYsRdWxmFnThgsKp9R+zlg2xdlQle3rJ7h5wZX/058u/XGzsyAECK45Z8vSyt7awnUzmEEHpgEqV/5+bPjruaZRTG+ni97+MVqFLKeAtfekxyomLHZrEwRX4NWwAAIABJREFUn2vXke/Z14DLxqBaocoEz3gPnzMvpl90lP+XDRqGeXBF1y/FZXsM/n3HqCdVPYQQehB7CgrfSbx+UVvygof7V6FBDVRKi3Nk0ewscdsm/uol4ltHPvkdpk4AAOC6cKh2qKYXPR889M8znSbs3Lzv3M1Cyf7FKb/2H/BMEK6tgBCqqeJLdNOTb27Ny2/l6LC7ftizvj4WizE6nfhfjHT4AOPgIPV9wRjZVOnm9oSritBjZTnB37wYq/Oo28BHuBl3o5AAH9ymV3Ab06bCaxcKWZemjYOeYCURQqh6RaI0IyX9z5w8b7lsWcN6I708tBY7wBuN0pEYWcxeiVK+e2+uU1ejwQh3D5NDqBawnOCnt446N/nI5S9Sp7ceslZfYTMuF4sQqkkowD9ZOdOTbhSJwsxA//cC/VUca6EDvCRJp45J+3ZRXQlpEqXs+zzj6AQAYLA80ydCNs1ygl9RVEJYmYxvvaJIv6ziIBGGs/AchBCyhms6/bsJyXsKCvu5u83282rk5mahAzylEHuWHNhDCgvYJs1lPfuq5Yrb2R2hWspygr9x4Vye5cVpAACAdW/Tqu5jqlAVdDpdenq6i4sLALi5uZluIISeWjpCZt1MnZOW4a9QbG7csL+7m2mtinJI/BVxx2Y2I42p11D2cjTj5w8AuJQ7sml6vT45ORlK11m1WMZygp/Zqa2FM/NmVjpFf/Lkyffee8/0AXZzczMtpIMQejodLCwaH590Q69/y8/709AQFcdWLMNmpAkr95KkBMY/kLzyGh9enyk34TxCtumVV17ZvXs3PMBiM6u04soqpm+y0vwPERERs2bNCggIAAB/f3+r1AEhZHXFEvk4Mfm31IwmDvaHm0Q0sVMoK2R3WpAv7tjMx56j7p6yUePYyKY6fRVHLQjZmC+//DI6OhoACCHbtm2zWMZygmfZO1fZqT4vNb3IWLa7CusQFuL9KGt6bzw9PXGxGYSecptz899ISCySpO/CQqb5+xJRLLdODBgNYsxe6fABRq4Qe/e379QNWAsH9wjZtLp167Zs2RIAJEk6duyYxTJVj4Mnt9ZG9xq75Kr27sN57EWPEHricgRh2rXrK7NzOjvaL4poEKq0A4C7OgtRyp4/IxzcS0u0XIfOXLeeBlHC7I6eWlUmePHM75+skb+y+vyMLv7KMh8SRlH5cxBC6NFbn5c/NemmkZL59cKGOaiclXblCtD0VHHjGv7WDSayiey5gYy7B6UUcCE49BSrejW564kZTV9++8Wm/vgTGCFkHVlGYXxC8paCwn7ubn/UC6ujkBff3QGeMejFPdulY4cZV3dxxCuqplG4TgxCUE2C5/0CPFMuXCygYe74cUEIPXlrc3InJiRLlCytF/ayn6VJZ2PPMdv/lQx6vkcfrnN3g6UJ5xF6OlWZ4GVNXp3ZfeiUXuOuTBnYIshFUZrlWc/OHSOeQOUQQk+tIkl6NyFpQXpmLzeXuUEBgSpluQK0sEDcuIZcvUTDGygGDWPc3K1ST4RqrKpP0e/5YuryBD0kfBK9vOzjdoMF9crHWy+E0FNsW17B+PjEEkr+rF/3VV/v8gvBUSqdOCpu38TwMubFEaRxM0ZZPv0jhKpM8IoXV6oFzOQIoSemSJTeSkxenJnd2clhaUSDILvyXXppTrZ89TIx5SYX1Zrr/4Iok+M6MQhZdE+ryZWHq8khhB6DPQWF0fFJuYIwOyRwgquLc7nsToh0aL+4ZwfY28tencDWawiAa7cjVClcTQ4hZH3FovTWrbTFOXkdnJ32N4sMs1Noyo1wy8o0blxN01K41u10nXrYeXhYqaYI2QxcTQ4hZGXb8gomJCTlCsJ3ocFvBdRhGbhrpVdJYmL2ksP7GVd32RvT2OBQiuvEIHQPLCd4Xi4HAACGlyuYvAvbNuy9mB0w8L2+DgkZzvXrulQ9/R1CCN2bQkl6MyFpQXrmM85Om+oGN/dwLzeCnWamC6uXM5npTIfO8l79AJeKQeieVZOrjVfnD+kxbZ/gwms61X+r5a3XI2cVj/5z07yhofgxQwg9lFU5eW8n3xSA/lEv7DU/H025lV4plY7EiDs2M07O5JXxfFg9zO4I3ZcqEzzNWvn+jNiuy678zr8fsgq40De3HuVG9Xt92vKhW8Y+qRoihGqbG3rDhISknfkFz7k4z29Yz18hL1eA5mbLVi0T01K49h35PgN0omSVeiJk06pM8MK5wye8hvz7QoBsi+kB1iVq0qevzH/uIAAmeITQfSMUFqRnvpt0Q8Wxi8JDh7u5KMtld0ql/w6KO7eCSiUbP4kNqwcAIOL8dAjdt6pP0XMcZ9Dp7honJ2k1OvljWWyGZB+ev+CgRkaMnn0mjm3lirPjIlS7nFVrouMTz5foXvX1/jYs2IHSciu90oJ8cd0KknSNbdLc0LOvnaeXtaqKUC1Q5SoyslZ9nzWu/uKnk/kSAAAlxVfWvPP230Kv/o+hJtKNffvYftOnv//es9pdBzMrjr5HCNkqtSS9lXi99dlYDSEHmkUurF/Xlb/76IJS9swJYc7XNDdbNm4CP3IMtcPJ6RB6KFUewTMu/b9dMm7gyA5Bxawk3xvmoc7Ueff8eOX3fR9DTbigQe+PlStoScK1fKdQBzx+R6iW2FZQOC35ZobB+G5AnXfcnD1dnP/P3n0GRlVmDwM/t0xLn/ReSSABQo8EkCK9qSBlQQEFpFhARdfF/6r42lexLCorNhQVpHeUIqFJDSAIKSQhvdfpM7c874chcUiGIYRMJhPO71Nu7jNnzjyEnNx7n9KoAams4LesZ3OymN5J7IOPgEJx0zQ5hFCL3GYUPeU/8r3j2QvPnUq9mlfL+Mb0GTQowe9ORrJyBafPCT2TI2/c1Cc1F37+/LtDGXWy8OQZT88fHMwK+Sk//popRI+YMyKarTr78/e/ViXMmNvfHQs8Qk6vyGhalJm9u6ZuuNLzYI+usQpFo51eQRSF4yn8b7spmZyf+qi0TxLgTq8ItZLbT2knPJEHdukX0BkAAHTFeXlAuUaEN2sZKWPB/u9Wn+3/af9IGQUARHt67WenAp79+F+dK7e/+eb/DnR5Y6x/+NA5C4YCAFGf++bry30XvtLbB9fRQcjJEYA1xaUv5+SyQK2Ni5ljdafXkmJq6wa+tJjpP4gd+6DRZGrzNBHqyCibt8LE/I3zxsz9IV0r3tSoOUvVkvJDK1esPVOqFhKf+vb1UZ4UAJjOfDJ/W/QH7zwYQIHu+PsL9/f47xtj6gfTGf744KmfaqMC5QB04NAF8+/3owCgqqrqueeeM7fQ6/U5OTm2790tWbJk0qRJt/vUNwiCQAhh658FiqJI07TlWYZhGk5RFEXVX1tYniKEEEIaXth+glieauMgjTrWgZl0sCDO0rE5esMLxaVH1NqHvTzfD/b3k0gaBaF4nj1+mD19QvRUcuMfFsMiHPtxRFEkhFj2c/vsWKcLgh1790HS09OXLFnC8zwhpCGguQ42HPr6+h44cACasHkFz6d+8dpGZtbPqS8PDlZYDMej5LZedaON//AXvxjOnfl47t76b5Hq4lI6eLAPBQAgCw71riguE0F547PIB7z07YAmYSQSSXx8vPnrrKys2NhYV1dXG28bHBzMss1daY8QIopiQ3uO4xiGaegyy1M8z9M0bVmALf8saJ9BzP+vHBKkUcc6MBPbQSyL5R0FsfwZa8sgTTvWUZncKohAyGdlFW8VlfpKJJs7RY328mgaRFJcwOzeRtVUC33u44aMYBQ3frk48ONwHAcA7bljnTQIduzdB1EqlT169DC/yjIgAJgPCSHV1dVgFbHBsGOW74APswRbbWwznf7osdd/qxUJIYQIuRueX/DVFd58ULz1pblfXOTuINjatWtTU1NbnkwTarW6urra8tB8hWRWV1fX8LVOpzMajVZPcRyn1WrvMojJZLpVEFEUWxZEpVI5KkijjnVgJraDqFSqlgUxX5dYDWIymW4VRKfT3WWQph3rqEysBknT6pJT/6QOH3/ySrqK55sGETUa3Y/fGl5eYvpspVhSZL9M7jSIWq2uqalpD5l0sCDYsXYKYtmxPM8vXbqUWGPzYleS2L9X5Zm/akiMT2uMe6FkMqmpwmC+w070epNUJruTuCUlJbm5uefOnQOA4ODgCRMmtEJSCKG7Zl6+ZllOnp+E3Z+YcJ+Edbe46wgAQIiQekbYu53iOHbiI8yA+4GicKdXhFrs/PnzWVlZAEAIqaiosNrGeoHPOHmiUgQAiJ/5wFdLxsy9+uykfpE+ivr/sbTvwOTOd54P5R0cKJ4tqSXgS4GprKTGr2uAzXn4jWRmZm7evFmtVgNAcHBwYWFhw71WhJCjZOj0szOyzmp1i0OC3o+OcKXpxju9VlVyu7eK1zLo+G7ciLHy0DAHZYpQx/Hpp5/u3LkTACiKSk5OttrGeoFfMWroZott4P96bd6PlqflUzj1+hYkJOma3GvNxv3Zw2dE1R45kBaRPMvrTgr0kCFDnnnmmd69e7fgrRFCrU4k8Elh8b+v5/mz7MEeXR9QekH98J8beJ5KOSAeO0x5eEoeX0DHd9PjTq8ItYbvv//ey8sLAARBWLZsmdU21gv8ejXXkgJ+O5Rr0vxlBas+f2GxgfVLWvDcaH+8AEfISV03GJ/KyD5aW/dkcOCKAN9AD49GDcS86/yW9VRFOTVgsHT0BJA23lEGIWRXtxtwrk//5bV/fVY3Y9uX0335k68+8MzFAcs/WjEltpmLSEqSnl+XZHFMucVPWf7xlJblmpmZuX//fjc3NwAIDg5+/fXXWxYHIXQ3RAKriktfzS/0k0j29+g6QumlvnmnV4rn+H07haO/UwGBZP7TdHgk7vSKUOvauHFjamoqABBCysvLrbaxXeC1R5Y/OHdHpyUf9nCjANj4qUsevLz88TEar+zPR9gh4dtQq9UZGRnmr0tKSojFpECEUNvI0hvmpl87Xqd63M/nk86xHmzjdanEzHR2y3pBq2VHjWcGP6DH5WsQsoOMjAxzgQcAb29vq21sFnjT6V+26Gas2fTuWFcAAMorcerrPytL4x/fDI4o8H369Hn88cfxGTxCDmFenG5Zdq47w2xNiBvt7qZoVN0NBn7PduHsSQiLkD75DIV7wSFkN6+++urKlSuhBc/gbyB6vdE90PemzWGl3j4exsLWSxIh5AQydfonMnNOarTzgwI+jIlSELHRTq9iZrqwdQPRapjRE/S9k+SejXeUQQi1MZsFXtp3+MCK5e98PfOHhd3dKQAQVX+tfW9dUf8VbZNcIxUVFSkpKdnZ2QAQFhbWv39/h6SB0D2FJ2RlQdEbuQU+LPNrYtdR3l4AwHEWGzobDOye7fzFc3RktGTBM+DtC42mySGEWlt2dnZOTg4AiKJ4q5XsbG8XG/CPj79ImTC/d+jbXeJjfJm661f+KvedsnrfY/ZI97auXr3aMA9eqVRWVVXhM3iE7OqyVrcoO/ecWvNkcODr/j7BXl6NGojXMvgt6ym1mhn/MDtoKFC2t7dACLWOV155Zf/+/dCCefB/n46c9nXq4MW/7jx0Ia9WcH3k2VUTHxwU4dL6uTZHUlLS5MmTExISAECpVGJ1R8h+jKK4orD44+KyaIX8aK/ugzw9Gu/0ypn4lAPCkUN0eCT/jzmyiEjc6RWhNvP999/rdDoAEEXR/DC+qdvuy6LPv5Bq6jX/nw/xOdvffuPHz/7KVS1/YVyEI2a0KhSK4ODg6OhoB7w3QveSMyrN3IxrGTr9CyFBb0RHyOnGS06SnGv01l8ErYYd/zAzaKgB78kj1LbkcnlgYCAACIIgk8mstrG9VCx/5eOxPe9/4psrvJizZv7szy8JVMb/pk/8f+fskC1CyPEMovivnLwBFy4BwOGund+KCG1c3U1Gfvsm8t2X4O4hXfoyc/8wvHBHqH2yeQXPnfv+f1cGrbnw5Vi2cNXms11ePLv5X2EHnuzy9I/wVt+2yvBvloPsAgICBg8e3PY5INSBnVFp5qRdyzGaloeHvhoRJhgNjRqIuTn8pp9IbS01cpzQfxBlc+9mhJD9pKenFxQUQMsH2YllxZUhvfsEMqTu+OFLkaM/7sQAFRLmW3vNHuneluUgO19f3/LycnwMj1Cr4Ah5K6/gnbzCLgr56T49erm5AoDesoXRyP66izt/hg6PlDy+kPdSws3T5BBCbemNN9749ddfoeWD7NiYzhF5vx+8ViPf/93vXsOf78oCn51y5HrAffZI97YGDhw4Z86cxMREAFAoFFjdEWoV6Tr97PRrqWrNs6FBr/r5+Lo1vi4XM67yW39htBp23EPMoKFA07jTK0KOtW7dOoZhAEAQhBUrVlhtY7PAM10XvD7lxxndfV8ibgM/+LQ/ffG9wQ+8ltbrg8/skO3tsSzr7u6uVCod8u4IdTwE4MuKqtcKSwKl0iO9ug/ycG+806tez+/aIpw5SUdEGf8xWxYV46BMEUI3YVm2YTc5lrVeym2PoqcCHlqTmr7wXDbE3Nc3TCIW3Ldo1W+DJg/DcewIOb1KjpubnrWrqnpeUMDHnaLcGabRFHbqyiWyb6fImdiHpjD9B+lv3lEGIdTO2Szw2pS35u7p+sn7k4aZh9HSYcNmP9omaSGE7Cqltu6xtEy1IHwbFf54eGijB15Eo+a3b6IuX4TO8dLJ/6C88LYZQs7HZoGXB8mLNm0++crDk5Xt4XF3QUHB5cuXDxw40Oj7ffv2HT58uENSQsjpCIS8XVTyXlFpH3fX9fGd/fjGT9PFSxf47RuJIJKJj9D3DaBwp1eE2of09PQdO3YAgMlkEgRBoVAAACGkpKTEanubBZ4OnfHOsnPLpz6dO29Cr1BPaf10WNp3YHLn1s27OfLz8/fs2aPX6xt9/8EHH8QCj1Bz5BuMM69mnFSpl0eErogMZylKrf67wBO1it28nsu4Ssd3k0yebpA4YkErhNAtHD58+P333wcA89M08403iqK6detmtb3t7WL3PT96ySYDwB+HVlt+Xz6V6De2VsbNN3DgwEWLFuF2sQi1zI7K6rkZ12QUvbtL7NjAxnu5in/9yW/dQIki+49ZTK9+AABN/phGCDnQ4sWLFy9eDAAajYbn+YZBdi3aLlY2ZaMe941AyOkZRXFpVs6qwpIHlJ7fdorya7Q4ncHA79shnP6Dju3CjX1IHhLioDQRQq3ptmvRAzHVlZbWmSyH11KuEeG+dkwKIdR6svSGRzKy0wzG96IjXwoP4TnOcit3Ki+H272NaDXspGl00gDQah2YKkKoFdku8GL+xnlj5v6QrhVvupB30C16hNCd2lJRNS/jmidNH+vV/T4P95vOiSJ/YK/k8AEqLEIy/2nK1w93ekWoI7FZ4PnUL17byMz6OfXlwcEKi3t6lNzeaSGE7hJPyKs5ef/JLxzv4/1ZSGDEzdWd1FTz678XC/KEQcOkYydSDOOoPBFCdmKzwAslxVU9H39xaq9I25vOtZGamprU1FTzqvq+vr49e/Z0dEYItVMFRtOs7NzzGu37MZEvhoWob97KnUq7Ytq1maIZyROLTEEh0GQ3WIRQO5eXl3fu3DkAEEVRdfN/8AY2C7wksX+vyjN/1ZAYn/YwD/7SpUsNm80olcqqqipcjh6hplJq66b8lS6jqcM9uw3y9LjpHMeRHZupsyfp+G7s1EcpV1fA9ekQckIvvfSSeVWYO95sJuPkiUoRACB+5gNfLRkz9+qzk/pF+ijqb+I5aB58UlLS5MmTExISAMDT0xOrO0JNfVFU8lzW9X5urhu7xIa4ulieImWl3M/fkcoKMmaiZOgI3McdIee1du1ag8EAAKIorly50mob6wV+xaihmy12gv7rtXk/Wp6WT+HU61stzWZTKBTBwcHR0bgSPkJW8IQsuZazqqjkyaCAD0KDXaQ3rUAnpJ7ht2+kXN2oeU+JQSFY3RFyai4uLsHBwQAgCIJMJrPaxnqBX6/mHFDAEUItVW7iJmXmnNPqPo+Nfiok6KYFH41GdvtG/solumdfyeTpHE3jVu4I3QtuPw++EVL60xPTrq49+rY9skEItcBfWt3Ey1fVvLC/R9ehXp6Wp0hpMffjt3RtDTt1JtO3PwDgVu4I3SNuU+A1F7546qmPD2bXcvXzYwVdrTp46Vp754UQap7fqmunX033l0gPdI7sdXN1v3Fb3tOLe3yhvFOcozJECDmEzQIv5n2/7OUU/+Url/Lfv7Ap/K13xksvfPPG1vi1b7RVegghW9YUlz6TdX2Yl+cvCXGswWLgDM+RPdv4s6foXn0lk6cbDEbH5YgQcgzbC91cPX81dObOf85I0jFbv93nP+qhCRMGyTMGrNz6/sBZbZXh30RRNJlMBsvfYndHEARCSENAQRCMRmPD4HxBEBpOcRwnCIIoig2ZNJwSRZHn+bsMIgiCZUvLIIQQZwxyq4510o/TNIj560ZBeJ4XRVEQBKtBGh22LEhDx3KELMkrXFtZvTjQ/z8RoQzPGxuC1FRT69eSqioycbLQt78gEntk0sGCNP2JvftMDAaD1R82DIJBWjGI+acXrLF9i56IBIACAJdOcV5Z6QXChE7KfkmBzxwCcECBBwCKolp9dpxlQMv4Tb9u1NLyCwzS6FXtJBP7BbEa0OphKwZpOKzh+ZmZ2cdUmk+jwhcG+gMAIeTGq3KzYcMPhJWIcxfRoeHNyaTR2ZZ9HKcOYvuwZZk0+om6N4M0OuXsH6f9BLE8ZfnNRmwWeLbnwN7Fb7772fhVixMT4659uintmZcDL5y/7uJl61V2c+zYsaVLl5oXugkKCioqKrLxwZqD4zhRFBsmGHAcJ5VK6fpVvYxGY8MpURQZhpFKpU1P8TxPCLnLIBzHAYDVIIQQk8nUgiAmk8mBQSw71rGZ2AjCcVyLg5h/9poGYVlWIpFYDUJR1N0HEUWxUCQTr2QUGk3rYyIfCQmyDMJeTOV3bKLDIvgpM1kvZTMzkclkd/9xnD2I5f/iDvBx2k8Q7Fg7BZk1a9auXbsAgLrThW5uoIMf++CDQ9NeeWXDxJQnF05/bUIf//dZPUl847CtV9lNXFzcsmXLgoKCACA0NPQuqztCzui0Vjf76jV3ljnVOzFMFP4+IQjsnu38hbPMfQPYh6byJpPjckQI2d0LL7wwYcIEACCEHD161Gob24PsCtNUQz//s8KLAZqO+ehk6oQDl3RhySOTI+yR7m0FBQV17969d+/eDnl3hBxubWX1svzCJHf3bd26+Eok6vpVZolOy6/7hs67zj48lUm+37FJIoTaQM+ePYcOHQoAgiCkpaVZbWOzwHOn3h0+bZssKmn4mDFjx44dPXT4tATclQKhtmcQxaev5XxbUjbT2+vbbvEyi+1hSGUFt/ZLotFwM+bIuuMOTAihG2zWa9mkr9PP7lr1zBDv4t8+fGJQpF9Q95GzXlr50+/X2io9hBAUGI1DLl7+qazi/bDgz8KCLau7eC3D9NmHIBLJU8+RyBgHJokQam9sj6JnPCL6jJnVZ8ys5wHEurRdq997+5NPX/rxs9OP6je2UYII3dsOqNQL8tJcaPpwz27daYqzWIeOPneK37+HjuokmTWXyBWg0TgwT4RQe3ObaXKGsrTTx46anfqrjApOHDD9uSHDJrdRdgjdwwRC3sgteDuvYJjSc31CZz+JRNNQwkWR372VPXHUPKQOGAZuMREWIXTPslngjVvmRE3bJAQmTZoxacnqN4fc3yfGS2LrBQih1lFqMs28mnmktm5ZoP+7nTsxlnNGTEbu5+/FjKvCA6Olo8YBTidBCFljs8AzMcOmjLh25PSF3eu15QV5uddz7r///v6JYe6MrVchhO7OkTrV7MwcjpDdiQkDWcayulNqlemHr0hlhWTWPFNYpONyRAi1dzYH2bG9Fv2w/3xedeXV3SvnD/KtPP71sgnxvt6Rya+1VXoI3VtEAu8Uloy5khGjkF/s23Ost9LyLFWQp1j7Jei00qeepxO6OypJhJBTaM52sYzc3cPdzUUhl0pYmhJNBqNw+xchhO5QuYl7LC3zYE3ti6HB78REsjffexdOHGH3bBcDguRzF1HuHo5KEiHkLGwWeCFt/b/eXnvoyB+Xikyesf2Hjx79zJfvjBrSK9S1rdJD6F5xtFY1Iy3DKIpbOnea4Ot9U3XnOH77RuHcaZLYyzhqggKrO0KoGWzvJpebelYT9eD/Lf589ANJUR745B0hOyAAq8sr/11Y0tPN9ZeunQNvHg9PVVeZtv1CKivYR2boE7oTi2lyCCFkg+2FbsZ+mLL982eT6b+2rnpv4xVOm3clq5Zvq9SaOHLkyNChQ81b6ERFRd1qgzyEnEglx42/nPavguIlocEneidGyeWWZ8XLFyXffgEmo/TpF5gk6/tJIITuQU8++aS5GkokkrNnz1ptc5tn8Kb0L6eOWHqI82I1gzs/3zd/YbcVqllfb/9iWrQDpstFR0cvWLDAz88PACIjI3GzGeTs/qhT/+NqhkYQ1sdETg8LuemcIPB7tgknjpK4eOnMOaBwcVCOCKH2aN68eX379gUAQsiFCxestrFZ4EnZ+peXXxq2Lm01+3LUBmCin9v9B/PYhIVLf5y26wl7ZGxbWFjYuHHjcLMZ1AEQgE8Li1++ntfN1fVwfFd/4eY7Y3W13C/rxMJ8ZsRYY9IABVZ3hNDN+vfvP2bMGAAQBGHZsmVW29i8Rc9dOHbaf+ozk8LqL9dpr95Pvz4n6NSRVs4UoXtJJcfNzM59Pjt3QVDgH726Rytuui1PpV8RP/uQqOoki5ayI8fiOjYIoZa5zVr0DGPU60XLbwlajV4qs2tOCHVgv1bXzE3P0gr8hvi46QF+APD3aBJB4PftpI6nUHFdJNNnU644XQUh1HI2r+Al/caPNP3y1idnqgUAACKq0jYue+EHbvTEtkkOoY7EIIr/yskbf+lqpFx2LD5umr+v5VlSW8N9+V/Txj8CAAAgAElEQVThxBEyZAT12Dys7gihu2TzCp7ymviftXMfnjkwQkUL0oMxvupSfcCoV9d/OL6t0kOogziv0T6emZ1jNL4bHfliWIhWo7Y8S19LN+3aQtGMZO5iY2g43pZHCN2924yip/xHvnc8e+G5U6lX82oZ35g+gwYl+OF+Mwg1n14UV+Tmf1RQHCuXne7do6fbzZfmoij8uos9+jsd25n9x2zK1Q30egdlihDqUG6/VK2x+NLx3/cfu1qiY5W5teAT8GCiDy55g1CzHK9TPZmRlaU3PB8S9EqQv9fNN95JXR3/83difq4weLhs7ES8cEcItSKbz+CB1B17dUi3IfM/OZCjJkSVuefdmX27jf/kIl5hIHQbtTy/NL9o8IXL7gxzvm/PtyNCZfRN/93E7Gvcqg9IRTn7+ELh/mFY3RFCrcv2WvTX1vxzZdGINX9+P6+L+cJDl/Hd4yOXPP/1c4efbZP0EHJKP5dVLMvOreO5D2OiloYGMRTFWS4xK4rMkUP88cN0VCd25hxwcweNxnHJIoQ6Jttr0adfygj9x8ezuzTcVnTpPOulmf8ZY31VPIRQjsG4NC3zt+ra8T7K94ICuvn6NGpAqir4DeuYgjxm2Eh25DigaVx0GSFkDzYLPBMaEaIrqjQC/D2uzlhZpfUNsHteCDkbk0jeLSr5oLjMR8Ju6dplsp+PSqVq1EZIPcNv30S5uHCPzpV2S8Tb8ggh+7FZ4Nmez7w9YczLj77Fr3h8WLwvVKWnfL9i2bbwhSltlB1CTuKUSv1kRlaaTv9UUMDbMZHuTOOBqESrobb+wmdcpXv2lTw81cg7btcmhNC9wXqBn6agNhn+Pvxz0s5XGw4ohff/PoeXVts7M4Scgl4kb+fkfVhQlOCi+D0hLtnLU9KkuosXz8HOrSDwkhlz6J59AADUaiuxEEKo9Vgv8O8cPbVMtHoGAADoxo8VEbo37amqWZyZVcULb0aFvxgWwhsMjRqQ2hp+20Yx/Qp06UrGPUwH4OMthFAbsV7gO/W7rxMAaFPemrun6yfvTwqyPZvOWV3S6Y/Xqf6pVDo6EeR8KjnuuazrP5VV3O/u9nuvuFiFAgBuuu1OCJN62nR4PyWRSmY+LiR0F/G2PEKoDdl8Bi8Pkhdt2nzylYcnK9tgLJBQcODz784YZSLETnt2cmf57V9xt05rtMuLSp+KjnRrck8VIRs2VVQ+c+26kYgfx0Q+4enhqVA0akBKivitv7D5uUzvJGbiJMrFVbCcJocQQvZns8DToTPeWXZu+dSnc+dN6BXqKa2/jqd9ByZ3bu1MhOunroTO+tfkiMJf3tib9mDnXrdfZO9uJbq4iACXtbpkD3e7vxnqEHL0hqeyrv9Wp57o4706LiZYKtE0msLOmfiUg8Lh/ZSXkpsxR2Z+4o4QQm3OZhU17Xt+9JJNBoA/Dt00pk4+leg3tnYmTKepz8XUXvntx72ZocPGtMkVdTcXOQ1wUaPFAo9uSysI7+YXriwo9mKYn+PjZjTa6RUAAKiMq+LeHaDVMMNGssNGGnS45iNCyGFsFnjZlI36u1yCgys4fU7omRx5Ywd5UnPh58+/O5RRJwtPnvH0/MHBrJCf8uOvmUL0iDkjohnKNbzHgAG5P57O1PXp52r3xwKuNB0tk17UaO39RsjZ7a2tezG/qNhoWhwS+LKvT5CnR6MGRK3id26hLl2gojtJnnyG8vMHAAAs8Aghh7n96Dmh6s+dX618++2NVzht3pWs2jsZJ2Qs2P/d6t8yDTf+SiDa02s/OxUw9+Pv/vdir/xv/3egnAATPnTOggVzR0Rz575adVjjFtipV4J7TXlb/WJMVMgvqHGVUHRLJ+pUQy+nTc3MiXdxudyv16edot2Zm//XECKknuE+ele8lk4mPkI9sai+uiOEkCNRtpfJNKV/OXXE0kOcF6sZ/HXFe/mjElaoZn29/Ytp0bfbM5aUH1q5Yu2ZUrWQ+NS3r4/ypADAdOaT+duiP3jnwQAKdMffX7i/x3/fGFM/fo/o0jav+iWLcQUSNn7R9ER3CgCgtrb2vffeM7coLi6uqqqSyWQ23vaJJ54YOnRoMz88x3Gflld+UF5V1LMrS1E8zzMMQ9UvLsZxnERy42MKgkBRFF2/WYjlKUKIKIpM/TC9lgURRZEQ0mGC8DwviqJUKnV4JraD8DzPsuytguQI4htFpbtr67oo5CuC/McpvZq+iqquYvZso/Oui10T+VHjBbmi+Zk0BLltJjY6tgVBWiWTDhaE53lCiOWhU3+c9hMEO/bugxQUFLzxxhuCIIii2BBQFEUAaDg0mUy7d++GJmzeoidl619efmnYurTV7MtRG4CJfm73H8xjExYu/XHaridsvRAAKP/hL34xnDvz8dy9DeGqi0vp4ME+FACALDjUu6K4TATljY9JucRPfXlF4zCiKDas92kymdRqtU6ns/G2KpXK/Mmbg9JpE9V1elHM0Bvi5TJzqW747W8+bPja8i+hRqeavgqDQP2PoMMzaUGQXKNpZWn5+po6P5ZZFR4yQ+lJNYkJosieOcEc/R1cXE3THhM7dQYAIopNP7hlfKunmtN7GASDYJB7M4hOp6uurjb/WWD5uwsAGg5ved1LbDDumxfQ+aVTHDFsneE7bZOBEEK4M/+K951j61WWTKc/euz132pFQgghQu6G5xd8dYU3HxRvfWnuFxe55kYihKxduzY1NfUOXnA72v17C15/GQ4fX1daTghRq9WCIDScraura/hap9MZjUarpziO02q1DYctC2IymW4VRBTFlgVRqVSOCqJWq6urq9tDJraDqFSqRkHOqdTTrqQzKSe8jp58N69AJwjWgxQXGv/7geHlJdyW9eqKCssgJpPpVpnodDrLIOb/sVYzuVWQph3bgiCtkkkHC6JWq2tqatpDJh0sCHasnYJYdizP80uXLiXW2J6LxjCMUa+/6YJY0Gr0Uls3yW+NksmkpoobD+SJXm+SymR3MpCupqYmNTW1uroaAPz9/RMTE1uUxt9IYLCfXhfMMhc0mscC/O4yGnJeIoHfalWflpal1KnD5bIPYyKnu7kEeXlZacqZmJQD3MljlNJHsnAJFRlNcKdXhFCbKygoOHfuHNx8n7sRmwVe0m/8SNP8tz6ZtS4aAICIqrTNr7zwAzf6pxblQ3kHB4pnS2oJ+FJgKiup8esacCdL5F26dGnz5s1qtRoAvLy8qqurqbvbjIsEBgFATxBxIP09q5rjvystW11cmq03JLq6rIuPm+7vK6Eoq/9hxEsX+D3bGbWKuf8BduQYYCUEd3pFCDnCCy+8cPDgQQCgKCo5OdlqG5sFnvKa+J+1cx+eOTBCRQvSgzG+6lJ9wKhX1384vmUJSbom91qzcX/28BlRtUcOpEUkz/K6kwKdlJQ0efLkhIQEAPDw8LjL6g4AoHAhHp49dOovKVzJ7p7zl1b3QV7h5upajpCHfb0/jwwbpvRqGL/WCFVVwa3fK2am0TFxpmmzpNExuNMrQsiB1q5dazQaAUAUxZUrV1ptc5vl4ij/ke8dz1547lTq1bxaxjemz6BBCX63G0B/62iuSfOXFaz6/IXFBtYvacFzo/3v6HekQqEIDg6Ojo5u6ftbIQYE9agor5a65RmMuIXOPeKsWvNOXuGOyip/ieTFsJCFwYEhMqleb31qJtGoyW976HOniJdSMns+3TXRgBvBIYQczdXVNSQkBAAEQbjVIDubBZ47/s7Mo4N/fmVQ0qiopBvfI5W7lj+f8+66pc1KQZL0/Loki2PKLX7K8o+nNOu1TRQUFFy+fPnAgQMAEBgYOGfOnJbFsSQGBCVeuQwh0Rc12uFy61dvqMM4odauzM47WFsXJZd/Fhs91c3Fz9Pzlq2NRv7oIeHoYaCADB0pGz4K2Bb/cYsQQq0pJSUlIyMDAAghJSUlVttYL/Ck7vwv3x0uMl7auOfPjI9kpy1a8YW/rtsX8q4d0r2t/Pz8PXv2mK+0QkNDZ8+effd36UX/gKgTKZ4MfUGjGS73bo00UXuUpTe8mH19R2V1vIvi+y6xMwP8GIDGy8g34Hnm3CnTiSNEr2P6DxQHDxekMqzuCKH2Y8uWLXv27AEAiqK6detmtc0tCrwu69jO7ZdMVUVchWnX9hyLMkrR8iHLF9oh29sbOHDgokWLevfu3YoxxYAgipAeNFzUaMEXC3wHpBLE17Nz/1tU7MNKvogMezIslGVoqJ9I2pheJ5w8LvxxlNWoqcRektETKB9fjuMA94JDCLUnq1atWrduHQAIgrBs2TKrbawXeDpo2ue/TwPToeVjDo749d3hHffWNfH0AheXRINuJ4PXZx2NSOCbsorX8grUgrgsNOSViFCi09G3uulTW0PO/GE8dxoEnunVV987yT0mtk3TRQihVmXzGbx0+Lu/D68/IJxGI7i4y+9kYlvrUqvVmZmZ5gsvf3//sLCwVglLB4X2rKn6jJHX8IJLq0RE7cAfdeolWTmpas0kb6+VcTFRcjkAWBkdR4iYlSmcPEan/QVSKdN/IDNoGOXpSW4xrxQhhNqDmpqa7OxsABBFUau1PtP7VgVerDz51TufHY9c9t2S3iypO/nBzEdX7MsVvDuPWPjRmv83NsQR08rOnz/fMA/e09Oztra2VcJSwSGJWVngG3JJpw/BfWOdXynHvZSZ/XVxaZyLYndC52FuLi5yuZV2RiNz9qTp/BlSUU75+pNR4+k+SazHrcfcIYRQu7FgwYIWzoNXHXlp6Jg1xoGPveZCARhOvDH736eCn/nmo/7qvR+8Pv1R/9SUpQ64e5mYmJicnBwVFQUA5ukBrYIKCe1y/IiUpv7U6ca2VlDkCCKBL4pLlmfnSmj609joRcGBhOe5Jo/PiU4rnDgq/HGEMRioLl3Zh6bQnTrrDQZgcDkEhJBzWLVqVWFhIQCIorhhwwarbawX+F/e/Ur/+JbUL0Z5UQDGwz9tLOj54s4Pnohn4MHe3JWeP26GpcvtmPgtKJXK7t27t+4gOwCgg0KlROzK0Jf1htaNjNpSpk4/LyPreJ3qUR/lJ11ifSUSAGhc2zVq4chB8fQfIApM3/6Gvv3dwsIdkSxCCN2VwMDALl26AIAgCHv37rXaxnqBP3fJe9zyYeZl5vjLvx+p6vbYw3EMAAAd0buX97vpdsrYISj/AGAlPTjjaV1b7UKPWhVPyOqSstfyizxZZke3+KFS1kPSZMikycQfOSg9ckikaOa+AczgB8DdA5eRRwh1YNYLvNag8HYxjzYW846kXA8ZMrRT/d3Lhh1o25zlIDulUtlqS9rRNBUY1KOu5kdKohdFV4d9PtQSqWrNk+nX/tTqFocEvRcd4cYwjZeRJ0S4cFbYt4to1EKf+2SjxzNu7nCraXIIIeQMKioqWjjIrlN4UcqpArFfFC3m7tp+0f3+V3rW71Wfd+5cRcQ4O2VsW6NBdjU1Na2wHD0AANDBoYmlhbyn32WNrr+XR6vERPamEYRXr+evKiqJlcsOdOvygK+VtYZJQT6zZytfWEB3SZBMmKyRKygX17ZPFSGEWtfixYsPHToELRhkN2N2j5X/fvixyjk9yrd8eEr54PKhLgCEq83Y95+F713u9a/v7Jj1rfXu3XvUqFGxsbEA4Ovr21rVHQCokNDu589RnXtd1GqxwDuFvbWqf17JrOC41yPDlvj6KCSNf5KJWiX8uoukniE+vtJ5i+m4eAAAXEYeIdQhfPnll+apZKIorlmzxmob6wW+85L1m1TPvf7je/tUPsmvrH1nrBuAYfPMoOnbXHrO/2rzs53tmPWtubu7x8XFtfogOwCggkI8eFMcS59Raxa1enTUegjA3qqa9/MLj9WpHlB6HorrGqtQNN4nRhCE4yn8gX1AATVynJA0gHbH2Y8IoQ7Fx8cnJiYGAARBcHW1fmPyFvPg2dAxKzaPWWH5Len9r/529oOevSI9Ot4zajooBGg6iTedUuEVXjvFE/JTeeUHBUWXtbpebq7fR4fPCg9reg9HvJ4l3fQzX13F9OvPjJ7Ay+S4yixC6N50m+1iLdCBiYMD7ZiJQ0mllI9ff1Xtj8DW8LySbX63IPvSCMKhmrq91TW7K6uKTdwwL89fE7uOUnqq1erG1d1o5PftFE4dJ4HBsmdfpELCAACrO0LonuVMlayioiIlJcU8btBSfHz8rfbSaT4qOCSptJB4+J5Wqcd4K+8yGmqxchOXpTdc0+sztbqTdao/NFqjKIbLZWM8PZ4MCTaPkLAyAD4rw7RzC1Gr2TETtT37Kry8HJA6QgjZU2lp6bFjxwDAYDA03JkXRbG6utpqe2cq8FevXm0YRW9p/Pjxu3fvvsvgdEho1/2/eiT0OYkF3v6MonhFq7us1V2oUxVxXI0gVHN8Nc9XmDidKJrb+EokXRWy/xcZPs5H2c3VRa1WW33ORLRaesdm8mcqHRUjmf805esHuIw8Qqgj+u6771555ZVG37zjUfTt08CBA+fMmZOYmNjo++6tMYSKCgqleVM/qRQfw7cujSCc0mhLtLpCI1dkMhUYjFk63TWDkScEAEKkkki53EcqCZPJvCWsuyh28fTspJB3UshdCeE4zsXl1hsAESKknhH2bAdRgAmTJIOGQutNrEAIofZm+fLlixYtAgCtVsvzvKenJwAIgrBixQqr7Z2pwLMs6+7urlTa5fKaCgkFgP686TOVSSRwy01FUTNc1RuO1amulFWeVWvSdHqBEABwYegImSxEJuvn6rIwJCjRzbWHq6uC5xiGkUpvbEisUqk8PG5MU2y6hrwlqqqSW/+9mHON7t5TGDWe8VJidUcIdXjmCiiRSHie9/LyAgBBENhbjBtzpgJvV5SrG3h6JVVX1Ll5p+l0XV1x59g7U8nze8or9lfX7q+pLTaaaIAuri793N0WBQd2ZZju3l4+UikAEELUanVDFdfzdzwIjtRUC0d/l575g7i5Sx5fQMd34/W4xjBCCDWGBf5vYmh4Ul4W1TXppEqNBb45yjjuZK3qaJ3qSG3dFa2OAMQqFJN8fQYr5MkKWZjPjaXl1Gq1a2tMTCAlxdyx38U/z4NUxt830HXMBJDK7j4sQgh1SFjg/0ZCwpSHfu3cd/AplXp+UICj03EkFS/U8HwtzxerNSzH8wAaQSCEVGi05dW11/XGXIPhut5QaDIBQJhMNsTLY4GPckJwYJRcDgAajcb2DfY7QmqqxfQr7J8X+Nxsys2dHTOBThpo5Dis7gghZIMzFXjLzWYCAwNbcUt4MxIaAYJwHwMn771xdipeOFJXd6im7mB1TZpOL966pY+EjZDLI+WyXi7yRFfXB3y9zUVdpVJ5yOWtk43JSCorobyUys0xZWeS8jKgaSo4lJk0je1zH7AsIQQnuCOE7mV1dXUt3GymfWq02Yx5Gd5WRAKDgJX016jWgbSW5zvegn1WHaqpfTU796xWxxMSKJUO83Sf7esd4OLixbJeLCM1Gv3c3GiaZinKjaFNWm1g/RRzvV5vOT7ujgkCKSuBvFzQqHmjAfQ6otNJ1SpTbQ1R35jnRru4UnHx7PDRVGy8RhSlrq6Ae/0hhBDA/PnzDx48CB1mmlxiYmJycnJUVBQABAUFtf4bMAwdEppUUigGRZ9WaZLZDl5LCo2mZdnXN5ZX9nJRrIyJGq707OrqwnGc5eQ0tVrtqpCbtwgmhKhbVF8po5Go60RVHamrJXV1bGmxqaqCVJSDINAARCYTXVxB4UK5uIgenmxMHOXrS/n4CZ5KTqGQNUyTw31iEEKo3qefflpcXAwAoihu2LDBahtnKvBKpbJ79+722Gzmb2ERCX9e8AiLPalSJXt32NXQOEJWl5StyC9iKeqTTlGz3V2Vnp6t+QY8TxcVCFf+JIUFYmGepLKCr197jnJzp9w96LAIql8yFRRsUvrSbm4NtwH0KpVL/QB7gePwPjxCCFkVHByckJAAAIIg7N2712obZyrwbYCOiBKPp/STy06p1NBBC3wdL4y4mnFeo3syOPCdqAhvCatqpaXfSFmJmJkuXsuQ5GRJOBNP01RgEB3dyZg0QBYcyiiVlKcXYViDWq2or+IEZ7ghhJB9YIG/WVgkAPTnTZ8bTGKT9c47AI0gjLt8JdNgPNityzBfn7sPSCrKxetZJCdblp1hUqmApumIKHHgEFNYhGfneJBIAECvVtOurpT59n7TZeQRQgjZARb4m1CenpSX8r7q8rddvDMNhiRPD0dn1Jr0ovjg5bSLGu32uE4DPZq1vi9lMABFEZMRAAghdEW5mGciNdWktpoqLyclRSaNGiiKCggSOifIE7rT0bEglxs1GpHjzNUdIYSQQ2CBb4wKj+yXm00leJ/R6pIcnUwrMolk5pX0P1Tq7d26DFJYmc9GaqrF7EySmUGXlZhMRqLXg14nAbB8DH7jkGEoL2/K0xMSe0liO1OR0ZSLq0Gloj061N9DCCHk1JypwIuiyPN8K66gIooiIaQhoCiKHMdRIWHKK5c69bn/rFbXcEoQBEIIVb/aueWrBEEQBKFRELp+tLn58LZBeJ6/VRBCyN0H4UXxydyCAyrVL507DXd3MxqNfweprWF/32/MzYHqSqAo4udPgkLBzY2Sy0HuYqRpqUJB0zSRKwDAIAiKoGBw9wCKMhmNNE3T5st0jmvUk007thU/TnsIYm7ZNAhYaPUg1n9iHZFJBwuCHYsd61xBLDvW/LsLrHGmAg8AgiDwPN9a0URRBICGgIQQQRCokDBaEO4D8YxW13CqUUvznxoNX1semoOI9XueEkKaE8T8EqtBCCF3H+S53ILddaofY6NGe7jzPH8jiMFA/XGUOnaYkUigS1cybCSJ7iTIFYIgNAxrF4xGQSoV63/4BKORl8tBEG7bJ007thU/TnsI0vB10yANWj2I+X91e8ikgwXBjrVTEDt1LM/zDRXx7oM0HDpREMsP3kEK/MmTJ//973/r9XoAiIqKSk1NvcuA5j+jFApFw6FcLqejYoysZJBB9zNhdazER3KjiywXdbF8lfnfpnGQ+it4y5Y2gphnn1sNYv5XbEEQnufNQX4sq1hTVvFOaND04L8XD2Dyr8PubaSinOnVVzd0pEdAoO0gd5RJo45tWZBWycR2EEEQWhyk4fdLoyAsy0rqBx80CmKZc8uCmP8nt4dMOlgQ85VDe8ikgwWxU8cqFIrWDdLo90n7DyIIwvPPP799+3YAoCiqW7duYI0zFfigoKCJEyeaN8iLiIiw19uwLB0S+kBxrhjU6bfqmpkBfvZ6ozZxWatbmJn1sK/PU/6+N74livT2jeRiKh0RJVnyTyo4BFppmhxCCKG2MWbMGH9/fwAghJjXrG3KmQp8dHT0Qw89ZN+FbgAAgAqPjLiY2jmq614nL/BqQZh2JT1MJlvbuROl1wEAEMJv+gkuXYCJkyUDh+Ae6ggh5IxGjRo1bdo0ABAEYdmyZVbbdPDVWFuGDo8katUouXRfdY3gtPO2CcATGVmFRtPWrl08WAYAgBB++ybhwjkyYTKVNACrO0IIdWBY4K2gIqMBYIxWXc3xZ9QaR6fTQh+Vlm+rrP6mc6eE+r3t+X07hdMn2Ienkt79HJsbQgghe8MCbwXl4Ul5eg0oKfBgmb1VNY5OpyXOqzVvF5ctDQmaVv/onTm8XzhyiB07kek/yLG5IYQQagNY4K2jIqJkhXkjlF57q52vwPOEPJmZHSWTvhMVbv6OcDyF/eMoO3oCM2SEY3NDCCHUNrDAW0dHRNHlpeM83S+oNcVGk6PTuTPv5RdeVGs+iwiV0zQAiLk5wr6dQu8k5oFRjk4NIYRQG8ECbx0dEwuCMKauCgB+daqL+Ayd/u28wiWhwclurgBA1Cr+x2/pkFB+1HhHp4YQQqjtYIG3jgoKIR6eAZnpPd1cneguvUhgfkZWoFTypvnmvCjyP68lAs/MeBwYxtHZIYQQajtY4G9JjI4V06+M81EeqKl1lr1jvygrP1Gn+jKukxvDAICwb6d4PVsyYw6l9HZ0agghhNoUFvhbEjvFkdqasUBUvHBS4wST5fKMpjeLSucFBYzy9gIAOjNNPHGEHT2Bjot3dGoIIYTaGhb4WyLRnYBl++Vn+Uokv9a298VcCcCirOvuDP1BTCQAkNoaZscmqnMCMxSHzSOE0L3ImQr86dOnZ86cGRMTExMTM2zYsFvtn9NaiERKR8VQ6WmjvL3217X3Av9tSdmh2rqPIkK9WBYA+B2bKYZhpszA5eoQQqjj+b//+z9zNYyLi7t06ZLVNs60Fr2fn9/QoUPNm80EBARQ9i9ddOcEfu+OceNcfy6ryDEYu9RvNdbelJhML2XnTvX1flDpBQBC6hnx6mV+8j8krm6OTg0hhFDr69+/v7u7O+BmMy1Gd+kKu7eNripjKGp/bV0XD/c2e+s78nRmDk3BR1ERAEC0WmHPdjq+m5jQ3dF5IYQQsouJEyfOmjULcLOZFqP8/CkfP69r6fe5uW5pr2vWbq6o2lZZ9XGnqACpBAD47RuJILCTpjs6L4QQQo6EBf426C4JYvqV2X4+R+tUV7U6R6fTWA0vPHMte6y3claAPwBQmWnipQvsxEmUp6ejU0MIIeRIWOBvg+6cQDTqaSadkmW/LilzdDqNLS8q0Qji53HRAAAGPb1nGx0Tx/S5z9F5IYQQcjAs8LdBx3QCqVRxLWOmn/fa0nK9KDo6o7/tq65ZX1XzfnRElFwOAGTfTjAYWBw5jxBCCAv87bESOiaOykpfEBhQy/MbyysdndANKl5YmJF9n5vL4uAgABCvZZDzZ8UHRlPePo5ODSGEkONhgb89uksCFBV2EflBnh5fFpc6Op0bXsi+XsVzqyNCaQqAM/HbfqFCw0m/ZEfnhRBCqF3AAn97dJeuQAi5lrEwOPCkSn1Bo3V0RnCopvbbkrJ3oiJiZDIA4H/dTepqqUnTgcZ/UIQQQgBY4JuD8lIS/0BIuzzVz9dfKnH4UElA3RQAACAASURBVDsVL8zNyOrv4f5MSBAAiPm5wokj7AOjwT/AsYkhhBBqP7DAN0/PPpB+VaJRzQnwX1darnHoULvl+YVlJu6bLrEMRYEg8JvXU4FBuOY8QgghS1jgm4X06gs0I549tTA4UCsIW2rqHJVJSp36m9Lyt6PC410UAMAcP0wqyiRTZuJ27wghhCxhgW8ehQt07S6c+SNGJn1A6fVNRZVDsqjh+UXX8+5zd3suNBgASEkRe/IYc/8DVGi4Q/JBCCHUbmGBb7a+/UltjZhxdVFw4J86/Yk231+OAMxLz6rl+e9io80357mNPxFPJTtybBtnghBCqP3DAt9cVGQ0FRgknP7jIV/vznLZv3Ly2jiBz4tKtlVWfRYVES2XAYCQcoCUFHHjHwaJpI0zQQgh1P5hgb8DTNIAMf0KU1vzenDg8TrVjsrqNnvry1rdP7NzFwQHTvFRAgApL+N/P8AMGkrCI9ssB4QQQk6kvRV4UpHy+ZrjKuLoPKxi+iSBRCKcPTXey2OQp8fLObk8aYtMtaI47Up6tEL+cUwUAIAocr+sozw82FHj2uDdEUIIOaP2VeCF4v3rd1wu1QqOTuQW5Aomsbd45g8QhJUxUZk6/bdtMif+hfziXIPx5/g4F4YGADh2mBQVsNMeBamsDd4dIYSQM2pPBZ7P27OlfODE+Pb8SJm+byBRq+hr6UkebpP8fFbkFmgF+/458k1J2Ybqms9joxPdXAEAKstJykFmwGA6qpNd3xchhJBTs3eB5wpOn8w1NhySmgs/vbVk7qw5i//vf0eLeQAQ8lO+X7Pm24M5+uztO7QjpnZ3bdc7odHhEVRwKHP+LAC8GxVRyXGf2nN1+gsa7bNZ1//hrZwbFAAAIAjU1l/A3Z0dM9F+b4oQQqgDsG+BNxbs/271b5mGGw+qifb02s9OBcz9+Lv/vdgr/9v/HSgnwIQPnbNgwdwRUaYaji/cveqT7X9dO/D9gbz2epcegOk/iM7NJhXlcS6K+UEBHxSWlHO8Pd6ohuenXEmPVcg/CQ8xf4f/dRdVWgyPzACp1B7viBBCqMNg7RWYlB9auWLtmVK1kNi//nvclVMX/Ed+0MOTpTzHjYvfsf987ZgxSvMVO+XZd8YLfQG40//9sHbWyIgb67Kp1eq1a9eav75y5cqxY8c8PT1tvO0jjzzSo0ePZubIcZwoilqttuFQp9NR9Zup8zzfcIrneYqiOI4DAIiLZxQuhr07xCkzX/L3/aG0/O2Cok9Y5s6C3HxKFEVBEEj9kD2O47Q63aNZuZUm07aunSWioNVqqWvpzLHD/JARQkAQbxHzVkF4nr/7TFoWpFHHOjAT+wWBeo2C8DxvMpmsBjG7myA8zzftWIdk0sGCYMdix7bbIEVFRatXr+Z5XhAEpn7FUlEUCSHmQ0JIQUEBWGO3Ak/5D3/xi+HcmY/n7q3/FqkuLqWDB/tQAACy4FDviuIyEZQ3L7EquW/JcotDg8Fw8ODBGyEp6urVqw2/gq2KjIyMj49vZo7mPmr4NxBF0TK45SnzL3eh/nE7M2io7MBe0/Vsr5Cw5/193yktH+fpPtTN9Y6CND1lmcn7hSW/1tZ9HxkaRlGiKHJVVYodm8TwSGO/ZOD5ZgZplUxaEKTFHdvGH0cUxZYFafi6aRBBEBr+gGgapOF/dcuCNO1YR2XSwYKYX44dix3bDoNcv359y5Yt5msMy4AA0HAYGRkJVhG7Mp3+6LHXf6sVCSGECLkbnl/w1RXefFC89aW5X1zk7iDY2rVrU1NTWzE7tVpdXV1teWjuRLO6urqGr3U6ndFo/PtUTY3xw7dMqz8hhBhN3JDUi/4nThcZjHcWxOKUyWTSarUNh7uLSpiUE//Mvk4IEUWxrrbW9OUq4/97RVTVNT+ISqVqyEQUxZZl0rIgjTrWgZnYDqJSqVoWxFxorQYxmUy3CqLT6e4ySNOOdVQmHSyIWq2uqalpD5l0sCDYsXYKYtmxPM8vXbqUWNOWo+gpmUxqMtx4IE/0epNUJruTEXV6vb64uDgnJycnJ6eystI+STYPTbOjJ4jXs8W0v2gKvo6OJARmp2eKrTEr/i+tbk5O3iBPj7ejIszfYY79LuZcY/8xi3L3aIU3QAgh5OS0Wq25Gl6/ft1oNFpt06YF3js4UCwpqSUAAKaykhq/4IA7ef8zZ87MnDkzJiYmJiYmNjaWtMkiM7dCd02kI6L4fbtAFIOlku/jY3+vqXs73/qDkOa7qtUN//MvPwm7oUssS1EAIGZnsieOMMNG0rFdWiNxhBBCTu/xxx83V8O4uLhLly5ZbWO3Z/DWSLom91qzcX/28BlRtUcOpEUkz/K6kyv4xMTE5OTkqKgoAPD39294/OAYFMWMe4hb/Qm5cBa69xrrrXwxLGTF9fzeEslYF5eWhczU6UdeuuLFsjs7RflLJQBA6uqE9T+Q0HB2JC5ahxBC6IaPPvqorKwMAERR3LBhg9U2bVrgKdek+csKVn3+wmID65e04LnR/ndUopVKZffu3Xv37m2v/O4QHRlNd00kB3+FLl0BXN6Ojjhep1qQm5/qrQyU3/Eac1kGw9iMbFeaOdyjmwdnAgAQBH79WgAwPTxNTrenJYkQQgg5VFhYWPfu3QFAEIS9e/dabWPnAi9Jen5dksUx5RY/ZfnHU1oWrKKiIiUlJTs7GwD8/f2HDBnSGineFXbsRNNH79KnTsDo8RKKWp/Quc+5iwP//GtL1y49zQvPNU+WwTAuPUvBML/37BYsk2o4EwDwe3eIedfZ+U8DPnpHCCFkIS0trbCwEABEUayutr7zWZtewd+lq1evbt68Wa1WA4Cvr295ebmD79IDUH4BVN/+cOww6dmbCgiKkMsOxXd6LCd/wPlLX3aOmRXg35wg35aUPZd13U/C/t6jW6jsxgo25NIF4XgKO+4hOroTqNX2/BAIIYSczJtvvrlv3z4AoCgqOTnZahtnuvE7cODAXbt2VVdXV1dXFxYWOry6m9FjJxIPT+6ntcCZACBGJjvdq/t0f9/ZadcWZmabbA6sLzdxk/5Kn5eRNcrL80hC5/D6G/tUVSW/7Rc6oTsz+IE2+AgIIYScyw8//GCuhuXl5b169bLaxpmu4FmWdXd3VyqVjk7kZlIZmTKDfLOa37GFnTIDAOQ0/V2X2J5uri9l556qqZ0eGDDYy6Ofu5vli6o5fldN3UuF6QKQDQmdJys9GxZgIVoN88s6ys1DMn0WUBQ4dLIAQgihdohlWS8vLwAQBIFlrZdyZyrwPM+bZ/cDgIuLi0zWXjZLJYHB7ISH+e2b6E6x0OnGZLalocG93d3+nZXzVl6B/roop+m+bi4eDJtvMuUZjGpBAIAx3spvOncKlkktqruW++ozSq9lFjwLcrnDPhJCCKF2TBAEczUUBIHnre+H4kwF/sSJE88//7z5Gbyfn19ZWVk7uUsPAEzy/eL1bG7LL9T8p8DlxgI193t67IqNlru5n1NrjtbVpVTXGEWxv4f7NH/fSLksSBSHBwXe9AH0eu7b1aS2hp/5hCQgyBGfAyGEkBOYNWvWbZ/BO1OBT0hIWLFiRVhYGAD4+fm1n+puJpk03VTwH2bzenhmGVjcXZDS1ABP9wGe7kv9fBiGkdZvBKdSqSw/AGU0mH78llRWSJ98mvPybtvcEUIIOZN///vfTzzxBACIorhnzx6rbZypwPv5+bWrefCNKRSSmY+bVn/Cf79G8ugTlKvb7V/SwKCn1n1Dqiql85+iQsNBo7FblgghhJxeQkLCgAEDAEAQhJMnT1pt40yj6Ns/KiyCnz4bSoq5/35ACvKa+SoxP09c/SlUlkvmLabCIuyaIUIIoXuEMxX4hkF2NTU1er3e0elYR2JimWeWgaub6X+fCqf/uE1rQeD37+FWfwxSCZn3FB0e2RYpIoQQcnImk6mmXkcbZOft7V1ZWdneHsObUUpv6VPP8ds28Vs3sF17iEn96chokCsaN6soM63dTkqKmCHDydCRQv32wAghhJBts2fP/u2336BDDrILDg5un9X9BlbCTp1JhUfAr7u5K38CRVFBwVRYJJHLeZWK1FSR2hqpqg6UPpJFS+mIKI7jAAs8Qgih5nnzzTfnzZsHOMjOUZj7Bmq7dHM36MTr2eL1bCr9CvC8qPSmlN50WITRzd11wGCoH1SPEEIINVNsbGy/fv3A5iA7ZyrwTomiqIAgJiCI6T9Ir9dbTpPTqVRY3RFCCNmJMw2yQwghhFAzOdMVvFqtzszMJE3WZg8NDQ0ICHBISgghhFDb0Gq16enpAKDT6QRBcHd3BwBRFLVardX2zlTgz58/37BdrKVRo0aZBxMihBBCHdXKlStff/31Rt/sIKPoe/fuPWrUqNjY2Ebfj4jAxWEQQgh1cC+99NL48eOhyRX8mjVrrLZ3pgLv7u4eFxfnRKPoEUIIodaiUCj69OkDABqNhuf5hu1iXV1drbbHQXYIIYRQB4QFHiGEEOqAsMAjhBBCHZAzPYNv2GwGAFxdXaW4SgxCCKF7kiiK5mooCMKtNptxpiv4EydOTJw40dvb29vbOzw8vOmEeIQQQuheMHv2bHM19Pf3v3DhgtU2znQFHxcXt2zZsqCgIAAIDw9v15vNIIQQQnbzz3/+88EHHwQAQsjRo0ettnGmAh8UFORcm80ghBBC9pCYmDh48GAAEAQhLS3NahtnukWPEEIIoWZypit4ANi6deuJEydaK5rJZBJFUS6XNxxKJJKGO/9Go1Emk5m/5nmeoiiGYZqeEkVREASJRIJBGk45S8eaTKaGoZp3FMRygGejIDRN0zRtNYgoiizL3k2Qph3rqEw6WBCTyUQIsTx06o/TfoJgx7ZBx9oYjkY50VC1qqqq8vLyVgy4e/fu7OzspUuXmg9FUWzoykaHoihSFNVQGCxPEUIIIZYtMcjOnTtzc3OXLFni8Ew6WJAdO3bk5+c/++yzDs+kgwXZsWNHQUHBM8884/BMOliQ7du3FxUVPf300w7PpIMF2bp1a1lZ2eLFi82Hbm5uYWFh0IQzXcH7+Pj4+Pi0YsBdu3ZVVlbGx8e3YkwEADt37qyqqsKObXXbt2/HjrWHbdu2VVdXY8e2ui1btmDH2oMgCM3pWHwGjxBCCHVA93SB9/Lywo3k7cHLy8vf39/RWXRA+BNrJ/gTayfYsXaiVCqb07HO9AweIYQQQs10T1/BI4QQQh0VFniEEEKoA3KmUfStitRc+Pnz7w5l1MnCk2c8PX9w8D3bE63AVPD7119sOJmvY73+f3v3GdDU2cUB/LkZLMHFXiIKgqBliuAALSIoaB1VtKK27vVaba3auqi21lWttY46Wq2tA7Qobq17tCiKUjdCVWSDqIyEjHvfD6wQHkICtGj8/z7pTXJz7nnOPSeLxME/YtJIPwsB4TIPzJny0/3Sn0DgmYQu2TKxI7+R43zT0HOI0q0nNm3/7Gk7HsorNgg6Ttz8VahxFiq2fqSpcfFyd7/WZX+qTS1UVG8dKCVWk37LvZXYwj9Xj5m2OeGFtPhR9OejFxzNYhs7pDcXmx4zZ+S8fUkFcvnL2zs+jVh4NIflOGnixvFfnnheIpFIJBKpVIYEa46WQ5Ru/bFymVRSqiQ/7oeZX/+Biq0/8dPDX45edOJFWd6ohYrqrQPlxGrSb9/Sl+ild/5KMAvq79ZMoN+2b9/2//x54wU+a1hX4od3U9sH9XEw5PGauoT42zx++FhOOFFWDjG3bKojFAqFQoGAj18G0hg1hyjd+mN4fIFQKBQKhdw/sftyAsf0NGFQsfXAZZ9eNWXcp9tuFFRuoxYqqlcztMRq1G/fztdHuOfpmTwrf2OGEEJ0rWxa5qRnsaQFXo+rEz3f//3grWdACCFcYUpyjqmtOY+wOVk5krs7Z45Jf06MXYLGTB7m1gIdUzO0HBKUbsPhsv/YddNl+DILHqFnGxWrHsYscNaGQOnVNWOOlm+i9liuOapXI5TEatZv385n8FxJiURXX6/09GX0DXQlJSV4IFlXjK5RiyZCwolTL25dsvmfzhHBNjxCpLrm7X3DF/648+flw5tdWr35Ah6qa4ySQ5Ruwym5feCkICTMqeyLv1GxDYlaqKjeBqBRv307Bzyjq6sjEYtLS4sTiSQ6urp4sF4P3Mvb+776eEGM6N0vlo5zN2II4Tu9P2/OcC8TISM09RkYaJZ4/YGssaN809ByiNJtKFxB3NF4m8BuJmXpQ8U2KGqhonobhvr99i0d8C2tLNiMjNLHOJKsjHxTK/O3MxMNQnz/t8g1CW2nrFk5PcTBkCGEEO7lwyt/JReUnskMj8cXCAQ4kzVDzSFKt4FwL+MuJDl3czeo+D8qtiFRCxXV2xA06bdvaXaFrn4eWWdOJos5eeb5U/fs/Dyb42SuI67g6sEzLYfPGu6m+F4aL/vyxrV7El+yRJ6fEHs218PXGe+0aYiaQ5Ruwyj+O/6BnZurfsUGVGzDohYqqrfeNOu3b+1X1XKF9/av23zmiVhg6hMxY7SP8Vv6UKf+5A9+njInJoMt/z9j3GfJlsnv8PIT9m769cKjPLHAzGPAhLEhDk1wKmuIpeYQpdsApLc2TNpuvPDbcLuK7NGzDWqTXl0z5qjrD4t6NyvNG7VQUb2aq5JYzfrtWzvgAQAAtBkePgEAAGghDHgAAAAthAEPAACghTDgAQAAtBAGPAAAgBbCgAcAZWzKmm56PL7JiJhXCluL9gw2dJh1RUqIvCg3I6dQXuPtAeA1gAEPAErkyfuj4nWaGr48Hn3qJeVyNu2n9x0H/PiYpVwGAK8LDHgAqEqetD86oeXgJZ94Fx2POlHv31zhSkRifNsGwH8PAx4AqpDf2xd1q2Vo+IdD+nUoOhl9XGnCs49WdnGYfr7oyiwHg74/53GEzb28dmwv99YtjZrber43N/qBiBBCSvYNbeqz9OKxhX2c7T6Ipr0OAAD/Lgx4AFAku70v+o5x6GB/o3ahYc5Fp6KPPa8y4XkOn1159H1Aky6rHhUf/chYfmf1gNDlj30+23H60omNow1jP+o14fdsjhBC2Ge/zl0vith+YdOgZo1zLABvNQx4AFAgS4zed984dLC/ARG4hoU6FP8RdSyv5lfYJZc3rfu729LdX48I8HDrHPbxth9G82K2HsrhCCHyXMOwVctG+LUzx7e6AzQCDHgAqCRNiN7/sIlvJ5uM5OTkJ4YdO5kVnYk6mlvThOfyHz7MKjg2zlpHWMooeFOqJDMjmyWE8Jq949EGP8kG0FgEjR0AALw+pPFR+5Ok+fcndoyp2Ma8jDqcPfIjc9qzcEZXT49vO/XEo+8DhFUvKblPmCaGeOoO0HjwDB4Ayknion5/bDzy4EuunOTqXCfxuejDWTU8hzd083TMvXLpoaz0v1xe7IweA9bckv13MQNADTDgAaBMyZWomFSLwaODmlZsEnoMH+YqOR99KENxwjOEcC8yUnMKxPwOo6cFPF45csqm4/G3rx9eNnrq1hcduznjpUGAxocBDwClxJeiDmTYDxvVXV9ho8A1fJiH7EJUbHrl19rwzLuF+b3c2Ntx9L58pvXYXw8vcbu74oPuPr2m7NP9aM+BhZ10//vgAUAZw3H4CgoAAABtg2fwAAAAWggDHgAAQAthwAMAAGghDHgAAAAthAEPAACghTDgAQAAtBAGPAAAgBbCgAcAANBCGPAAAABaCAMeAABAC2HAAwAAaCEMeAAAAC2EAQ8AAKCFMOABAAC0EAY8AACAFsKABwAA0EIY8AAAAFpIEB0d3dgxAAAAQB0xDBMQEGBqaqq0XSASiRolIAAAAKi/lJSU1q1bUwb8qFGjGiUgAAAAqCeWZRcvXky9CO/BAwAAaCEMeAAAAC2EAQ8AAKCFMOABAAC0EAY8AACAFsKABwAA0EIY8AAAAFoIAx4AAEALYcADAABoIQx4AAAALYQBDwAAoIUw4AEAALQQT3pxRrveG9M5Qkourfho7TUZkd2Y7x6wJoWt4RblV6s/2a1I724rk+T124nqaKsrj7/ywKGxiM9MbSXQ8fzqjqY1QCvCei2o5OQEC4FQT19fX19Pv6mFS8isA4/rX+Oyq3M71lScDVGH7KNVXXQEjrP+lFZuSt0QqC+wmXJGosbtVZ7LFcFXbxG1q1M+1U8FrXWI7/0yyb+tmbGpjUufz2JSSo+fzTy5sL9bKzMrp55TdydVyUnJ3YMxicWl/5Y/XN5Zh1Gg++76Z7X3FDTPelDMP1G5Ugq4vHvXUwr/q6Zdl8qvGXXJ1F/H0mtqeqc8gdvHe9YMNGEIkT27eux6Zq33VO1qcolE5Y04roHWg3pHfKcJ29eHW6v/SkR5/JUHrkqDBQ/ViS9FHzXq7JlxIOa+ho2KVoRMPRdU4L7oeqFIJBIXpp3/wiRm/Cd7sv/NtW+oOtTXzz564Eb5hOcyj8UmCg1q2RshpWeTeqe8xi2i7Gaa5VPtFaRjH22YMDspdO+D7MybP3pcmDj5p1SWcC9iZ48/0GbV9WcPdgffmTV125OKWVZ8b+tnUzZfLZsVfMdZlwrFpUSZseO9+o7qb1V7T0HzVElV8FXzT18pycNdkwK9PDy8ek0uHflc/uH580+L9OpUIZqqUpAaVf7rhLdg19qImTG5sgcbR80//fzIjMAF56WESB//Pr2Hq721lcvAtTcqH2UReeXVTl+e69Z/+S8zujq8tyWdlaWfinzP3d7S3NZzyIqLeRwhRHZjvkevmZH9HS0tLaxcB31/vZgQQrjnf64K97Q1t3LqPn77PXHVaPJ3DGj//vQR7lbGxlYufecfT5cTQmRXFe9I9GDXtJ7ONhY27bqO3XzzFSd/sPnDqXvTWEIIJQZCiu/9Msnfyda6dYeg6XsfiRTiT1gfMTMmlyOEKO+zxuChIYkuRB+3HLXuiz5ZFRNeenZa2z5bsjhCCCnZP8xyZGwJIaTk7o5xXR1trCxt3YesjS+soQifJpYvKJd9evEALwdba0tr515zDqezRKMF5Rs5DR3Rg3f7VrKMWhvUKqVHXkEppNR7DVWHPOPA3qYnDt6Sld3N8UOp3Xu7CsoyTNlhxdkUNmtBRPkpL6FkrILs9vqqLeLT2SPtgn8sff4mOjGhdY+1j1U9CazMp5jSJa7SVpAWuerWUXT14t0uYyd7t+DzTbpOGO6cGPe3jIgvxpy0G/NxoKmOkefkKV1vxRzP4ghhn2z/oL29zycn8irnD8MX6ujq6urq6rI3v1uW+tGqkbYVY09+75vO9lPPSAiRXfu8vV672XEyQqTnp7fxRPOsS9HS8k9bKcmFtWvI7PMJCRdmk+/XXZaSkvjvfjKYNqW8uiso9Qei3uFI6OcspSDVrHxa26EvGX0daTGrXHG1nDz7afugDWksxxXuHmw+MlbMSa/Pc9G1i4hOlXLFNyO9zUYdEnEKKq4WN8epadthG2/mSzl5yvqgVr1WJrxipelHJru2GnUgn+Wk1+e56LT6YG/pfjqZjjhQzHEFpya3cYjY9UgkfX5lkZ+hTucVD2WV+36+PUxPx3XasXSJJOPkDHerIbuz2Sp3JL2xyN0mdP2dIlac/Oswe8cZFwquz3PzX50sp8dQ8tccV4cRex6XsK+uRfpaDd2bz5bHL7lcduDV9yniKMFz0LCKjo+3D/guRVZ4ZIyN15LbMo7jOMmZqW1CNmeyHMdx4n3hFhEHxRyX/9sgy5ANKSWcJGV9sMWAnc9ZahFWLKjsztedWkdEp0s5ee6R8Y6dl96T0Ra0WDGYkhPjrcuDYIuT945u2zT4x2dyam1Qq5QauTRuTgf/1clyWkh1rUPFsOVJK7u2nbp9RU+P+delHMexOTsGdJi2fZl/68mnS2rYoULGKtJIz1h58BURVlz/RdRQm4G/5rEcJz47rW3XVUly5cWl5XPjxXWULkFbQWrkqluHvCg3I1/McRzHsXkxI+18lt6VyZO/7WY19lgJx3EcJ01Y4Ob06RVJ+Q3EsSPNQrZksVXjlv+zvrfXZ1eqdDxOcmlmO5+v78jYtA29jJsZ91z3VC57sMy3zTQ0zzoULS3/9JUS39sx/l1vLy/vwIk774tlKRvCR/+WwVbbU/X+oObhlNRwzlYvSHUqn3oSUZeMupEac/VrVk8kx3FyuXzRokXXrl2rfpHAS4cy9fn2Q6e+ZyMgpL1PR2FiQU1vPfDM+k0d69ZcwKYd+/1B8OxD7kYMMQr+5EObXiduSN/zJ4Tf+v2pA20EhLT3c9dPeFVCJHF7D5qNOzu0rR6f+M2c2Xf9auV9CrtOntPbUsgjveZN93COOvVq2NDKO5LfO3b01YAV41wMGNImfNbw5aMOJw4XEkIIYTMoMYQaHTjCD98x2E6HIV7TN22J41d/cUeeVH2fsu6e1YKvw4MnQsiclMf7cvLqdts3gi7D3PXxrMMNi89Hn3YIX2jHb2L+fnDWgpj7n7u68mlX5DhCZBmJf/2dMcBzyvGMKYQQUlR5cXltkIr3ofmO/zuWIGjRnCfOzX4pJYWvCspeh1WuRqKveD+yW0t8mi/nEU4mE1j4jNy8dbQ1l7SDUhuOtCodovJgawpJgbp1qBw24bXqF2YUEXtnkec7r04dTgqY0Fk3UeUOKzJGStQPr4qmASHun564WDSib+LhP0z7HbCnvcirnM/NvROnfkPrEtVWkBp553yVrYNnYGxhQAhXeC9q/thZtwb8tMaZz90pFhsYGZae84xh0yainGLVB1Z8YfUWnUmHOutV2Sr06OmbseVqvsjkWlbY6KBLcdeLRxT9ldp5pJfOler7QPNUo2iVcMW0ldJ1HrX59Kiya+QdmPSH95y9FtWCqN4f2LTd6h1OjuqlqWwpFVRUPu0kklymLBl1I3UJ+khrW/FaCQzpR2hhVtpsGZ6K9zv4FjaWfEIIm5WRlX/oY1+PsvOCsQwuPY94puYmPMX9SPJyi6172ZTuu4mdvblyS2f0bWxNrvkUkwAACBVJREFUeYQQwjS1a2WUl53PKt5RXs4Lc1ur0hvxrVpZ5MflslaE1BSDPDsz18LPmk8IIUwLt74hpMpsKL0hbZ/U4OvCxcCgV4s38K0btQmZuuWm6Ny+I6lXDnSyXkyIvPj5i7Yx9z93dVW6EkcIIUyL97/d9uCzJQOdxkkd+kz8+rsFfWwUrlNeGwqkTw7Nnb7i5FO+Rbu2jISzKNtcy4IK3BZcjZtf5UGGlFobjjVUabXIaw9JQd3rkNc6LEw/Ivb+fLt7sXe7j/HTvaN6h+pnrCaMSWCw41cn4gqtz5wyCt3lQH1gppxP2Y0F9C5RLR5q5JIXtbQOwmafXzF23LpM/4Ux5yZ4t2AIa2CgJ3pSVHovXGFBsZ6Bvqpq5fIOrj/S/sMlNsqPV/R9e7h9/OfVW+a32wRs654REXfrWsHtd3p2MSSUAY/mSQteNaa2lRLFrd5uNH2n+ZWv+3+yO0Vi0m3eTz+EtxGUxqbcH4Ky1Tsc6dkqQVScs5QTpCJQFZVPOYmoS0bdSF2CWle8doIasq9e1+aVLh6vpXFL8yGL474P0CGEFD9LTOIcyl4YUGr/OiamhulP0+TEkU+IJCsjjzWuukdOlJaWxxErhnCFz569au7XjCHZlXfUwqRZTlqmnLTjEyLPfJbdzLhl2R1QY+DdbNksNzObJeZ8wj2/sn1vce+JfsrHUPM+6zi7FI22MBttYVbv3WidwrPRJ51W3Tkz3Y5HCCmMHeW4OOb+567tSMVHc7gXeaVjkyvMFrn8b9fVL7ncv3//fNjYSN+Urd0VdsVT6iBs2i+fzHs6+MztqU4GbMqangOyKy7SdEFrqg1alVIiVyekWu9LjbD5bfv1FXx4IL79g0S/D7rqMXdq2aEGGaspMdZBQWYbj+w2viDou81JvbZTc5dQjocauY5Adeso+nNhn1GXw36KXxBoWfYmLc/SsY38cFIWG2zLI6KUR5l2/vbK798q4LJjd8d3GbOtWbVLmJbd/K1/OLzLlO811NE3mbd/z8EiU/9ppsxz6o7QPKsHX0suVK+U/NHW1enD1nV5tjnkav+YW2ObnpnWe+mJ/ltD9QmtPzyar97hjOHXcM4qF6RipDVVPvUkoi4ZdSN1CXQu1bLiamRW8T+cXCJR408mql2NZ9u7r8nB5ZtuFbBs/uUlgwasu13DbnQ69+uVumVpzBMJW3Bj3ZrYas98iPTSxpVncuSynHPfrI3vPjiouWKq+e1CQgxiVu94KCbSp7+v3lUUFOomVBGD0KNf71e/fXc4TcYVJf44N/J8vgGjHL+KfcK/pfBM9EnrkODyp0qG/qHdHsfE3Jczhkb6SdduvOC4guubfr4kIYQQNnXnhz0m73kq1TG2d7Aw4DMMQ1TWqkRcIjCxNtMn8pyL26ITRVJZXT+JXGNtVK9SWuS1hNRwdch37N+X2zdrTXzn9/wrPkGv1g5LY1A/Y+Ux89v2DuTvWbitJKSfq4Bw+Y/iEx6/Up1m9bsENXLVrYPLi129wypyd2TFdCeEEL3ug3r/88vWG0WcNHnXtssdB4aYqxg7L88eiesQ2N2IFpG9f5fiXTsfdvRx1Gvv6570y28vuvi3rfLABs2zPs1T1UpxOTHLzvnOHWLOIxzhMTxCeAIBI5eXlVv1/sBX83B4Ks9ZJfTKV0A7iahLRt1IXYLaV7xWCgNet52X44XpXeaeU32gtKvxXWb8+q3zoXAXm1ae0x4M/HlZCPWVf0JIs7BVe8YVft3dztZ7ekr/if7KnwBgWrzbk7eyh72N2+TEoM3rPlB6y0Xo9fmepVa/9Wtn3SZwjeCzqK8CKt7aocagH/BV1Az5NwH2tu2Hne70/YpBLZhq8avYJ/xLTkefNAnuU9khm/UM9U2OibnPeIz7oufNyR1aWduHxzt0M+MRQvjOE5ZPFC33s7W26zj2RvDmL4N0VdYqr/WI+RFpczyc3fxG7LEaOoi3c9rSuv4Faw21QalSASVylSEltmnAOuQ79+9Lrj307h/QpNbgFZSl8YvHQ9TLmELaBR1CAvWeG/Xt/46AEMm5hYH9V12vJcnqdwlq5Cpbhyzpxs2Mw2MseWV/x863mXJGQpjm/b/7ddDfE72dOgza57Lu5wl2Kv4irCT+3DUbH+/m1IcAgnd6dNGVtPPx0CF6Xr7OUqFvD3fFSYbmWb/mqWKliq98u7PljElOfMJ3nrjI6+AAT49ukaLp8/oYlMVevT+oeThCVedsVTVVfiV626EuGXUjNebaVlwN1E/lNZbn2/vZjjteoslNpOUfBAXtIRcXFGpUBf8pVVX6ekfekGS3l3g7zbxU9qn04tjIr+KkjRvRWw7Ns440PWerVv7rQMWn6N/0r6pli9LTX/KFeE1dq/B0DZvU4cHqa+DNjVwjMsnzKz9HvQgZ2ElICCHypBNP3MM9Vby/Da8hNE9CiIbnrFLlv/Zer3PSsNfC7Z6t1c+cLGFl+JfP+s1ZqMa3TgE0DE2rVPu8ih3vNSsp5JtdXUobI99xwDTHRo7prYfm+R9QrvzXHsPhu1gBAADeTCzLLl68OCwszNvbW+kiPHgDAADQQhjwAAAAWggDHgAAQAthwAMAAGghDHgAAAAthAEPAACghTDgAQAAtBAGPAAAgBbCgAcAANBCGPAAAABaSBAZGdnYMQAAAEDdMQzll46Z+Pj4/z4UAAAAaBAMw7i4uOjp6Slvx4/NAAAAaB+8Bw8AAKCFMOABAAC0EAY8AACAFsKABwAA0EIY8AAAAFro/wz4T+LNRonLAAAAAElFTkSuQmCC" /><!-- --></p>
</div>
-<div id="pension-tables" class="section level1">
+<div id="pension-tables" class="section level1" number="8">
<h1><span class="header-section-number">8</span> Pension Tables</h1>
-<p>Pension tables generalize mortality tables in that the state space is increased from two states (alive / dead) to four states (active / invalidity or realy retirement / old age retirement / dead). As a consequence, there is no longer just one transition probability, but multiple.</p>
+<p>Pension tables generalize mortality tables in that the state space is
+increased from two states (alive / dead) to four states (active /
+invalidity or realy retirement / old age retirement / dead). As a
+consequence, there is no longer just one transition probability, but
+multiple.</p>
<p>Possible states are:</p>
<ul>
-<li>active: healty, no pension, typically paying some kind of premium</li>
-<li>incapacity: disablity pension (in most cases permanent), not working, early pension</li>
+<li>active: healty, no pension, typically paying some kind of
+premium</li>
+<li>incapacity: disablity pension (in most cases permanent), not
+working, early pension</li>
<li>retirement: old age pension, usually starting with a fixed age</li>
<li>dead
<ul>
<li>Widow/widower pension (if a widow exists at the time of death)</li>
</ul></li>
</ul>
-<p>Correspondingly, the <code>pensionTable</code> class offers the following slots describing transition probabilities for the corresponding state transitions (by a <code>mortalityTable</code>-derived object):</p>
+<p>Correspondingly, the <code>pensionTable</code> class offers the
+following slots describing transition probabilities for the
+corresponding state transitions (by a
+<code>mortalityTable</code>-derived object):</p>
<ul>
<li><dl>
<dt><code>qx</code></dt>
-<dd>death probability of actives (active -> dead)}
+<dd>
+death probability of actives (active -> dead)}
</dd>
</dl></li>
<li><dl>
<dt><code>ix</code></dt>
-<dd>invalidity probability (active -> incapacity)}
+<dd>
+invalidity probability (active -> incapacity)}
</dd>
</dl></li>
<li><dl>
<dt><code>qix</code></dt>
-<dd>death probability of invalid (invalid -> dead)}
+<dd>
+death probability of invalid (invalid -> dead)}
</dd>
</dl></li>
<li><dl>
<dt><code>rx</code></dt>
-<dd>reactivation probability (incapacity -> active)}
+<dd>
+reactivation probability (incapacity -> active)}
</dd>
</dl></li>
<li><dl>
<dt><code>apx</code></dt>
-<dd>retirement probability (active -> retirement), typically 1 for a fixed age}
+<dd>
+retirement probability (active -> retirement), typically 1 for a
+fixed age}
</dd>
</dl></li>
<li><dl>
<dt><code>qpx</code></dt>
-<dd>death probability of retired (retired -> dead)}
+<dd>
+death probability of retired (retired -> dead)}
</dd>
</dl></li>
<li><dl>
<dt><code>hx</code></dt>
-<dd>probability of a widow at moment of death (dead -> widow), y(x) age differene}
+<dd>
+probability of a widow at moment of death (dead -> widow), y(x) age
+differene}
</dd>
</dl></li>
<li><dl>
<dt><code>qxw</code></dt>
-<dd>death probability of widows/widowers}
+<dd>
+death probability of widows/widowers}
</dd>
</dl></li>
<li><dl>
<dt><code>yx</code></dt>
-<dd>age difference of widow(er) at moment of death}
+<dd>
+age difference of widow(er) at moment of death}
</dd>
</dl></li>
<li><dl>
<dt><code>qgx</code></dt>
-<dd>death probability of total group (irrespective of state)}
+<dd>
+death probability of total group (irrespective of state)}
</dd>
</dl></li>
</ul>
-<p>All functions that handle <code>mortalityTable</code> object can be used with these slots.</p>
-<p>Additionally, the following functions are provided to obtain the set of all transition probabilities in one data frame:</p>
+<p>All functions that handle <code>mortalityTable</code> object can be
+used with these slots.</p>
+<p>Additionally, the following functions are provided to obtain the set
+of all transition probabilities in one data frame:</p>
<ul>
<li><code>transitionProbabilities(pension_table, YOB)</code></li>
<li><code>periodTransitionProbabilities(pension_table, Period)</code></li>