From eeade5cda2a82db8900f6d5a243ed461eeab0bd2 Mon Sep 17 00:00:00 2001
From: Reinhold Kainhofer <reinhold@kainhofer.com>
Date: Sat, 3 Sep 2016 02:43:26 +0200
Subject: [PATCH] Add vignette, new function setModification

Also fix periodDeathProbabilities for valuationTable.trendProjection
---
 .gitignore                                    |   1 +
 DESCRIPTION                                   |   8 +-
 NAMESPACE                                     |   1 +
 R/periodDeathProbabilities.R                  |   7 +-
 R/plot.valuationTable.R                       |  15 +-
 R/setModification.R                           |  17 +
 ...uationTables_Austria_Annuities_AVOe2005R.R |   1 -
 man/plot.valuationTable.Rd                    |  12 +-
 man/setModification.Rd                        |  25 ++
 vignettes/using-the-valuationTables-package.R |  77 ++++
 .../using-the-valuationTables-package.Rmd     | 274 ++++++++++++++
 .../using-the-valuationTables-package.html    | 349 ++++++++++++++++++
 12 files changed, 766 insertions(+), 21 deletions(-)
 create mode 100644 R/setModification.R
 create mode 100644 man/setModification.Rd
 create mode 100644 vignettes/using-the-valuationTables-package.R
 create mode 100644 vignettes/using-the-valuationTables-package.Rmd
 create mode 100644 vignettes/using-the-valuationTables-package.html

diff --git a/.gitignore b/.gitignore
index eb527e1..f6f8618 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,3 +4,4 @@
 .~lock.*#
 R/Companies/
 Formulas_Reference/2013*.xls*
+inst/doc
diff --git a/DESCRIPTION b/DESCRIPTION
index 3711ccb..ae6c8cf 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -2,7 +2,7 @@ Package: ValuationTables
 Type: Package
 Version: 1.0
 Date: 2016-05-01
-Title: A framework for cohort life tables and general life insurance contracts
+Title: A framework for various types of life tables
 Authors@R: c(person("Reinhold", "Kainhofer", role=c("aut", "cre"), email="reinhold@kainhofer.com"))
 Author: Reinhold Kainhofer [aut, cre]
 Maintainer: Reinhold Kainhofer <reinhold@kainhofer.com>
@@ -12,7 +12,9 @@ Depends:
     scales,
     utils
 Suggests:
-    lifecontingencies
+    lifecontingencies,
+    knitr,
+    rmarkdown
 Description: This package provides classes to implement cohort life tables
     for actuarial calculations. In particular, birthyear-dependent mortality
     tables using a yearly trend to extrapolate from a base year are implemented,
@@ -44,6 +46,8 @@ Collate:
     'plotValuationTableComparisons.R'
     'plotValuationTables.R'
     'setLoading.R'
+    'setModification.R'
     'undampenTrend.R'
     'valuationTables.list.R'
     'valuationTables.load.R'
+VignetteBuilder: knitr
diff --git a/NAMESPACE b/NAMESPACE
index 14f4def..24d3208 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -33,6 +33,7 @@ exportMethods(getPeriodTable)
 exportMethods(lifeTable)
 exportMethods(periodDeathProbabilities)
 exportMethods(setLoading)
+exportMethods(setModification)
 exportMethods(undampenTrend)
 import(ggplot2)
 import(methods)
diff --git a/R/periodDeathProbabilities.R b/R/periodDeathProbabilities.R
index 67dcbfe..5bdd874 100644
--- a/R/periodDeathProbabilities.R
+++ b/R/periodDeathProbabilities.R
@@ -40,10 +40,11 @@ setMethod("periodDeathProbabilities", "valuationTable.trendProjection",
                   damping = object@dampingFunction(Period - object@baseYear);
                   finalqx = exp(-object@trend * damping) * qx;
               } else {
-                  # TODO!!!
                   # dampingFunction interpolates between the two trends:
-                  # weights = sapply(YOB+0:(length(qx)-1), object@dampingFunction);
-                  # finalqx = qx*exp(-(object@trend*(1-weights) + object@trend2*(weights))*(YOB+0:(length(qx)-1)-object@baseYear));
+                  weight = object@dampingFunction(Period);
+                  finalqx = qx * exp(
+                      -(object@trend * (1 - weight) + object@trend2 * weight) *
+                          (Period - object@baseYear))
               }
               object@modification(finalqx)
           })
diff --git a/R/plot.valuationTable.R b/R/plot.valuationTable.R
index 50d87d9..5d02a5f 100644
--- a/R/plot.valuationTable.R
+++ b/R/plot.valuationTable.R
@@ -8,15 +8,14 @@
 #' death probabilities are scaled by the given reference table and the y-axis
 #' shows the death rates as percentage of the reference table.
 #'
-#' @param data First life table to be plotted. Must be a \code{valuationTable} object for the dispatcher to call this function
+#' @param x First life table to be plotted. Must be a \code{valuationTable} object for the dispatcher to call this function
 #' @param ... Additional life tables to be plotted (\code{valuationTable} objects)
-#' @param xlim X-axis limitatation (as a two-element vector)
-#' @param ylim Y-axis limitatation (as a two-element vector)
-#' @param xlab X-axis label (default: "Alter")
-#' @param ylab Y-axis label (default: "Sterbewahrscheinlichkeit q_x")
+#' @param xlim,ylim Axes limitatation (as a two-element vectors)
+#' @param xlab,ylab Axes labels (default for x-axis: "Alter", default for y-axis: "Sterbewahrscheinlichkeit q_x")
 #' @param title The plot title
 #' @param legend.position The position of the legend (default is \code{c(0.9,0.1)})
 #' @param legend.key.width The keywith of the lines in the  legend (default is \code{unit(25,"mm")})
+#' @param reference The reference table that determines the 100\% values. If not given, the first argument of \code{data} is used as reference table.
 #'
 #' @examples
 #' # Load the Austrian census data
@@ -42,11 +41,11 @@
 #'
 #' @import scales
 #' @export
-plot.valuationTable = function(data, ..., reference=NULL) {
+plot.valuationTable = function(x, ..., reference=NULL) {
     if (!missing(reference) && !is.null(reference)) {
-        plotValuationTableComparisons(data, ..., reference=reference)
+        plotValuationTableComparisons(x, ..., reference=reference)
     } else {
-        plotValuationTables(data, ...)
+        plotValuationTables(x, ...)
     }
 }
 
diff --git a/R/setModification.R b/R/setModification.R
new file mode 100644
index 0000000..9f1ad64
--- /dev/null
+++ b/R/setModification.R
@@ -0,0 +1,17 @@
+#' @include valuationTable.R
+NULL
+
+#' Return a copy of the table with the given modification function added
+#'
+#' @param object A life table object (instance of a \code{valuationTable} class)
+#' @param modification The postprocessing modification function (for example, so enforce a lower bound).
+#'
+#' @exportMethod setModification
+setGeneric("setModification", function(object, modification = 0) standardGeneric("setModification"));
+
+#' @describeIn setModification Return the life table with the given modification set
+setMethod("setModification", "valuationTable",
+          function (object, modification = 0) {
+              object@modification = modification;
+              object
+          })
diff --git a/inst/extdata/ValuationTables_Austria_Annuities_AVOe2005R.R b/inst/extdata/ValuationTables_Austria_Annuities_AVOe2005R.R
index 3c3375b..0e58e2b 100644
--- a/inst/extdata/ValuationTables_Austria_Annuities_AVOe2005R.R
+++ b/inst/extdata/ValuationTables_Austria_Annuities_AVOe2005R.R
@@ -77,7 +77,6 @@ AVOe2005R_gen.av = function(nm, probs, shft) {
     )
 }
 
-str(AVOe2005R.av.verschiebung)
 AVOe2005R.male.av = AVOe2005R_gen.av(
     "AVÖ 2005R male (age-shifted), loaded",
     "qx1965", "shiftM");
diff --git a/man/plot.valuationTable.Rd b/man/plot.valuationTable.Rd
index fcc9a84..1befe3a 100644
--- a/man/plot.valuationTable.Rd
+++ b/man/plot.valuationTable.Rd
@@ -4,20 +4,18 @@
 \alias{plot.valuationTable}
 \title{Plot multiple valuation tables (life tables) in one plot}
 \usage{
-\method{plot}{valuationTable}(data, ..., reference = NULL)
+\method{plot}{valuationTable}(x, ..., reference = NULL)
 }
 \arguments{
-\item{data}{First life table to be plotted. Must be a \code{valuationTable} object for the dispatcher to call this function}
+\item{x}{First life table to be plotted. Must be a \code{valuationTable} object for the dispatcher to call this function}
 
 \item{...}{Additional life tables to be plotted (\code{valuationTable} objects)}
 
-\item{xlim}{X-axis limitatation (as a two-element vector)}
+\item{reference}{The reference table that determines the 100\% values. If not given, the first argument of \code{data} is used as reference table.}
 
-\item{ylim}{Y-axis limitatation (as a two-element vector)}
+\item{xlim, ylim}{Axes limitatation (as a two-element vectors)}
 
-\item{xlab}{X-axis label (default: "Alter")}
-
-\item{ylab}{Y-axis label (default: "Sterbewahrscheinlichkeit q_x")}
+\item{xlab, ylab}{Axes labels (default for x-axis: "Alter", default for y-axis: "Sterbewahrscheinlichkeit q_x")}
 
 \item{title}{The plot title}
 
diff --git a/man/setModification.Rd b/man/setModification.Rd
new file mode 100644
index 0000000..607ec19
--- /dev/null
+++ b/man/setModification.Rd
@@ -0,0 +1,25 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/setModification.R
+\docType{methods}
+\name{setModification}
+\alias{setModification}
+\alias{setModification,valuationTable-method}
+\title{Return a copy of the table with the given modification function added}
+\usage{
+setModification(object, modification = 0)
+
+\S4method{setModification}{valuationTable}(object, modification = 0)
+}
+\arguments{
+\item{object}{A life table object (instance of a \code{valuationTable} class)}
+
+\item{modification}{The postprocessing modification function (for example, so enforce a lower bound).}
+}
+\description{
+Return a copy of the table with the given modification function added
+}
+\section{Methods (by class)}{
+\itemize{
+\item \code{valuationTable}: Return the life table with the given modification set
+}}
+
diff --git a/vignettes/using-the-valuationTables-package.R b/vignettes/using-the-valuationTables-package.R
new file mode 100644
index 0000000..ba413b1
--- /dev/null
+++ b/vignettes/using-the-valuationTables-package.R
@@ -0,0 +1,77 @@
+## ----message=FALSE-------------------------------------------------------
+library("ValuationTables")
+
+## ------------------------------------------------------------------------
+# list all available data sets
+valuationTables.list()
+
+# list all datasets for Austria
+valuationTables.list("Austria_*")
+
+# Load the German annuity table DAV 2004-R
+valuationTables.load("Germany_Annuities_DAV2004R")
+
+# Load all Austrian data sets
+valuationTables.load("Austria_*", wildcard=TRUE)
+
+## ------------------------------------------------------------------------
+# Log-linear plot comparing some Austrian census tables
+plot(mort.AT.census.1951.male, mort.AT.census.1991.male, 
+     mort.AT.census.2001.male, mort.AT.census.2011.male, 
+     legend.position=c(1,0))
+
+# Relative death probabilities in percentage of the latest census
+plot(mort.AT.census.1951.male, mort.AT.census.1991.male, 
+     mort.AT.census.2001.male, 
+     reference = mort.AT.census.2011.male, legend.position=c(1,0.75), ylim=c(0,4))
+
+## ------------------------------------------------------------------------
+# Comparison of two Austrian annuity tables for birth year 1977
+plot(AVÖ1996R.male, AVOe2005R.male, YOB=1977, title="Comparison for YOB=1977")
+
+# Comparison of two Austrian annuity tables for observation year 2020
+plot(AVÖ1996R.male, AVOe2005R.male, Period=2020, title="Comparison for observation year 2020")
+
+
+## ----message=FALSE-------------------------------------------------------
+valuationTables.load("Austria_Annuities")
+# Get the cohort death probabilities for Austrian Annuitants born in 1977:
+qx.coh1977 = deathProbabilities(AVOe2005R.male, YOB=1977)
+
+# Get the period death probabilities for Austrian Annuitants observed in the year 2020:
+qx.per2020 = periodDeathProbabilities(AVOe2005R.male, Period=2020)
+
+## ------------------------------------------------------------------------
+# Get the cohort death probabilities for Austrian Annuitants born in 1977 as a valuationTable.period object:
+table.coh1977 = getCohortTable(AVOe2005R.male, YOB=1977)
+
+# Get the period death probabilities for Austrian Annuitants observed in the year 2020:
+table.per2020 = getPeriodTable(AVOe2005R.male, Period=2020)
+
+# Compare those two in a plot:
+plot(table.coh1977, table.per2020, title="Comparison of cohort 1977 with Period 2020", legend.position=c(1,0))
+
+
+## ------------------------------------------------------------------------
+lt = valuationTable.period(name="Sample period lifetable", ages=1:99, deathProbs=exp(-(99:1)/10))
+plot(lt, title="Simple log-linear period mortality table")
+deathProbabilities(lt)
+
+
+## ------------------------------------------------------------------------
+b=AVOe2005R.female 
+b@name = "Modified Copy"
+# only b is modified, not the original table
+b@modification = function(qx) pmax(qx, 0.01)  
+plot(AVOe2005R.female, b, YOB=2000)
+
+## ------------------------------------------------------------------------
+lt.mod = valuationTable.period(name="Sample modified lifetable (lower bound of 3%)", ages=1:99, deathProbs=exp(-(99:1)/10), modification=function (qx) pmax(0.03, qx))
+plot(lt, lt.mod, title="Original and modified table")
+
+## ------------------------------------------------------------------------
+AVOe2005R.female.mod = setModification(AVOe2005R.female, modification=function (qx) pmax(0.03, qx));
+# Make sure the modified table has a new name, otherwise plots might break
+AVOe2005R.female.mod@name = "Modified table (lower bound of 3%)"
+plot(AVOe2005R.female, AVOe2005R.female.mod, title="Original and modified table")
+
diff --git a/vignettes/using-the-valuationTables-package.Rmd b/vignettes/using-the-valuationTables-package.Rmd
new file mode 100644
index 0000000..a2dd1e6
--- /dev/null
+++ b/vignettes/using-the-valuationTables-package.Rmd
@@ -0,0 +1,274 @@
+---
+title: "Using the ValuationTables Package"
+author: "Reinhold Kainhofer, reinhold@kainhofer.com"
+date: "`r Sys.Date()`"
+output: 
+    rmarkdown::html_vignette:
+        toc: true
+        toc_depth: 3
+        fig_width: 7
+        fig_height: 5
+vignette: >
+  %\VignetteIndexEntry{ValuationTables}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+
+```{r echo = FALSE}
+knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
+```
+
+The ValuationTables package provides the `valuationTable` base class and
+some derived classes to handle different types of valuation 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.
+
+## Types of Life Tables
+
+Provided types of valuation tables are:
+
+* Base class
+    : Class `valuationTable`
+* Period life table
+    : Class `valuationTable.period (ages, deathProbs, ..., baseYear=2000)`
+    : Death probabilities observed / predicted for one observation year;
+      No dependency on the bith year is assumed.
+* Cohort life table using age-specific trends
+    : Class `valuationTable.trendProjection`
+    : Death probabilities of a given base year are projected into the future
+      using age-specific trends $\lambda_x$. The death probability of an $x$-year old in year
+      `baseYear + n` is calculated as:
+          $q_x^{(baseYear+n)} = q_x^{(baseYear)} \cdot e^{-n\cdot\lambda_x}$
+    : Consequently, the death probabilities for a person born in year `YOB` can be calculated as
+        $q_x^{YOB} = q_x^{(base)} \cdot e^{-(YOB+x-baseYear)\cdot \lambda_x}$
+* Cohort life table approximation using age shift
+    : Class `valuationTable.ageShift`
+    : Death probabilities for cohort $YOB$ are obtained by using death probabilities
+      for cohort $X$ and modifying the technical age with a birth-year dependent shift:
+    :     $q_x^{YOB} = q_{x+shift(YOB)}^{(base)}$
+* Observed life table
+    : Class `valuationTable.observed`
+    : Death probabilities observed during several years. The probabilities are
+      stored as a matrix with observation year and age as dimensions.
+* Mixed life table
+    : Class `valuationTable.mixed`
+    : 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)
+* Cohort life table using age-specific improvement factors
+    : Class `valuationTable.improvementFactors`
+    : Project base life table using age-specific improvement factors.
+
+## Loading the ValuationTables package
+```{r message=FALSE}
+library("ValuationTables")
+```
+
+## Provided Data Sets
+
+The package provides several real-life life tables published by census bureaus 
+and actuarial associations around the world. You can use the function 
+`valuationTables.list` 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 `valuationTables.load` to load either one single data set or all 
+datasets that match the pattern (if `wildcard=TRUE` is given).
+
+```{r}
+# list all available data sets
+valuationTables.list()
+
+# list all datasets for Austria
+valuationTables.list("Austria_*")
+
+# Load the German annuity table DAV 2004-R
+valuationTables.load("Germany_Annuities_DAV2004R")
+
+# Load all Austrian data sets
+valuationTables.load("Austria_*", wildcard=TRUE)
+```
+
+
+In the next few sections we will always use some of the provided life tables 
+for demonstration purposes. 
+
+
+## Working with life table objects
+
+### Plotting life tables
+
+The package provides two functions to plot lifetables:
+
+* `plotValuationTables(table1, table2, ...)`
+    : A log-linear plot comparing all given life tables.
+* `plotValuationTableComparisons(table1, table2, ..., reference=reftable)`
+    : Plot the given life tables as percentages relative to the reference table
+    
+Both functionalities are also combined into the S3 plot function for the 
+valuationTable class, so you can usually just call plot on the valuation tables.
+If the `reference` argument is given, `plotValuationTableComparisons` is used, 
+otherwise `plotValuationTables` is called.
+```{r}
+# Log-linear plot comparing some Austrian census tables
+plot(mort.AT.census.1951.male, mort.AT.census.1991.male, 
+     mort.AT.census.2001.male, mort.AT.census.2011.male, 
+     legend.position=c(1,0))
+
+# Relative death probabilities in percentage of the latest census
+plot(mort.AT.census.1951.male, mort.AT.census.1991.male, 
+     mort.AT.census.2001.male, 
+     reference = mort.AT.census.2011.male, legend.position=c(1,0.75), ylim=c(0,4))
+```
+
+For cohort life tables, the plot functions also take either the `YOB` or the 
+`Period` parameter to plot either the cohort death probabilities for the given 
+birth year or the period death probabilities for the given observation year.
+
+```{r}
+# Comparison of two Austrian annuity tables for birth year 1977
+plot(AVÖ1996R.male, AVOe2005R.male, YOB=1977, title="Comparison for YOB=1977")
+
+# Comparison of two Austrian annuity tables for observation year 2020
+plot(AVÖ1996R.male, AVOe2005R.male, Period=2020, title="Comparison for observation year 2020")
+
+```
+
+### Obtaining period and cohort death probabilities
+
+To obtain death probabilities from all the different types of tables, there are two functions:
+    
+* `deathProbabilities`: Returns the (cohort) death probabilities of the life table given the birth year
+* `periodDeathProbabilities`: Returns the (period) death probabilities of the life table for a given
+    observation year
+
+```{r message=FALSE}
+valuationTables.load("Austria_Annuities")
+# Get the cohort death probabilities for Austrian Annuitants born in 1977:
+qx.coh1977 = deathProbabilities(AVOe2005R.male, YOB=1977)
+
+# Get the period death probabilities for Austrian Annuitants observed in the year 2020:
+qx.per2020 = periodDeathProbabilities(AVOe2005R.male, Period=2020)
+```
+
+These functions return the death probabilities as a simple, numeric R vector. 
+
+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:
+
+* `getCohortTable`: Get a `valuationTable` object describing the death probabilities for people born in the given year
+* `getPeriodTable`: Get a `valuationTable` object describing the death probabilities observed in the given year
+
+```{r}
+# Get the cohort death probabilities for Austrian Annuitants born in 1977 as a valuationTable.period object:
+table.coh1977 = getCohortTable(AVOe2005R.male, YOB=1977)
+
+# Get the period death probabilities for Austrian Annuitants observed in the year 2020:
+table.per2020 = getPeriodTable(AVOe2005R.male, Period=2020)
+
+# Compare those two in a plot:
+plot(table.coh1977, table.per2020, title="Comparison of cohort 1977 with Period 2020", legend.position=c(1,0))
+
+```
+
+Not surprisingly, at 43 years the two death probabilities cross, because in 2020
+the person born 1977 is 43 years old, so the $q_x$ 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.
+
+
+
+
+### Other data extraction functions from life tables
+
+| function               | description |
+|:---------------------- |:---------------------------------------------------|
+|`ages(table)`           | Returns the vector of ages, for which the life table can provide death probabilities |
+|`getOmega(table)`       | Returns the maximum age, for which the life table can provide dath probabilities |
+|`ageShift(table, YOB)`  | Returns the age shift for the given year of birth |
+|`baseTable(table)`      | Returns the base table, from which the table projects (for cohort tables) |
+|`baseYear(table)`       | Returns the year of the base table |
+|`lifetable(table, YOB)`  | Returns the cohort death probabilities as a `lifetable` object for use with the lifecontingencies package|
+
+
+
+
+
+## Creating a life table object
+
+### Period life tables
+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:
+```{r}
+lt = valuationTable.period(name="Sample period lifetable", ages=1:99, deathProbs=exp(-(99:1)/10))
+plot(lt, title="Simple log-linear period mortality table")
+deathProbabilities(lt)
+
+```
+
+
+### Observed life tables
+The observations for the given years
+
+TODO
+
+
+### Cohort life tables with trend projection
+
+TODO
+
+### Cohort life tables with age-shift
+
+TODO
+
+
+## Modifying life table objects
+
+### Copying life tables
+
+Life tables are simple pass-by-value S4 objects, so copying works by simple assignment. 
+
+```{r}
+b=AVOe2005R.female 
+b@name = "Modified Copy"
+# only b is modified, not the original table
+b@modification = function(qx) pmax(qx, 0.01)  
+plot(AVOe2005R.female, b, YOB=2000)
+```
+
+### Adding a modification to the raw probabilities
+
+Some uses require post-processing of the death probabilities, like adding a lower
+bound for the death probabilities. To achive this, all `valuationTable`-derived 
+classes have a slot `modification` that takes a function that is passed the vector 
+of death probabilities.
+
+```{r}
+lt.mod = valuationTable.period(name="Sample modified lifetable (lower bound of 3%)", ages=1:99, deathProbs=exp(-(99:1)/10), modification=function (qx) pmax(0.03, qx))
+plot(lt, lt.mod, title="Original and modified table")
+```
+
+### Adding a modification to the raw probabilities
+
+Some uses require post-processing of the death probabilities, like adding a lower
+bound for the death probabilities. To achive this, all `valuationTable`-derived 
+classes have a slot `modification` that takes a function that is passed the vector 
+of death probabilities.
+
+```{r}
+AVOe2005R.female.mod = setModification(AVOe2005R.female, modification=function (qx) pmax(0.03, qx));
+# Make sure the modified table has a new name, otherwise plots might break
+AVOe2005R.female.mod@name = "Modified table (lower bound of 3%)"
+plot(AVOe2005R.female, AVOe2005R.female.mod, title="Original and modified table")
+```
+
+
+
+
diff --git a/vignettes/using-the-valuationTables-package.html b/vignettes/using-the-valuationTables-package.html
new file mode 100644
index 0000000..fd271ee
--- /dev/null
+++ b/vignettes/using-the-valuationTables-package.html
@@ -0,0 +1,349 @@
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+
+<head>
+
+<meta charset="utf-8">
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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+
+
+
+<h1 class="title toc-ignore">Using the ValuationTables Package</h1>
+<h4 class="author"><em>Reinhold Kainhofer, <a href="mailto:reinhold@kainhofer.com">reinhold@kainhofer.com</a></em></h4>
+<h4 class="date"><em>2016-09-03</em></h4>
+
+
+<div id="TOC">
+<ul>
+<li><a href="#loading-the-valuationtables-package">Loading the ValuationTables package</a></li>
+<li><a href="#provided-data-sets">Provided Data Sets</a></li>
+<li><a href="#working-with-life-table-objects">Working with life table objects</a><ul>
+<li><a href="#plotting-life-tables">Plotting life tables</a></li>
+<li><a href="#obtaining-period-and-cohort-death-probabilities">Obtaining period and cohort death probabilities</a></li>
+<li><a href="#other-data-extraction-functions-from-life-tables">Other data extraction functions from life tables</a></li>
+</ul></li>
+<li><a href="#creating-a-life-table-object">Creating a life table object</a><ul>
+<li><a href="#period-life-tables">Period life tables</a></li>
+<li><a href="#observed-life-tables">Observed life tables</a></li>
+</ul></li>
+<li><a href="#modifying-life-table-objects">Modifying life table objects</a><ul>
+<li><a href="#copying-life-tables">Copying life tables</a></li>
+<li><a href="#adding-a-modification-to-the-raw-probabilities">Adding a modification to the raw probabilities</a></li>
+<li><a href="#adding-a-modification-to-the-raw-probabilities-1">Adding a modification to the raw probabilities</a></li>
+</ul></li>
+<li><a href="#plotting-life-tables-1">Plotting life tables</a></li>
+</ul>
+</div>
+
+<p>The ValuationTables package provides the <code>valuationTable</code> base class and some derived classes to handle different types of valuation 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>
+<p>Provided types of valuation tables are:</p>
+<ul>
+<li><dl>
+<dt>Base class</dt>
+<dd>Class <code>valuationTable</code>
+</dd>
+</dl></li>
+<li><dl>
+<dt>Period life table</dt>
+<dd>Class <code>valuationTable.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>
+</dl></li>
+<li><dl>
+<dt>Cohort life table using age-specific trends</dt>
+<dd>Class <code>valuationTable.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 inline">\(q_x^{(baseYear+n)} = q_x^{(baseYear)} \cdot e^{-n\cdot\lambda_x}\)</span>
+</dd>
+<dd>Consequently, the death probabilities for a person born in year <code>YOB</code> can be calculated as <span class="math inline">\(q_x^{YOB} = q_x^{(base)} \cdot e^{-(YOB+x-baseYear)\cdot \lambda_x}\)</span>
+</dd>
+</dl></li>
+<li><dl>
+<dt>Cohort life table approximation using age shift</dt>
+<dd>Class <code>valuationTable.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:
+</dd>
+<dd><span class="math inline">\(q_x^{YOB} = q_{x+shift(YOB)}^{(base)}\)</span>
+</dd>
+</dl></li>
+<li><dl>
+<dt>Observed life table</dt>
+<dd>Class <code>valuationTable.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>
+</dl></li>
+<li><dl>
+<dt>Mixed life table</dt>
+<dd>Class <code>valuationTable.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>
+</dl></li>
+<li><dl>
+<dt>Cohort life table using age-specific improvement factors</dt>
+<dd>Class <code>valuationTable.improvementFactors</code>
+</dd>
+<dd>Project base life table using age-specific improvement factors.
+</dd>
+</dl></li>
+</ul>
+<div id="loading-the-valuationtables-package" class="section level2">
+<h2>Loading the ValuationTables package</h2>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(<span class="st">&quot;ValuationTables&quot;</span>)</code></pre></div>
+</div>
+<div id="provided-data-sets" class="section level2">
+<h2>Provided Data Sets</h2>
+<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>valuationTables.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>valuationTables.load</code> to load either one single data set or all datasets that match the pattern (if <code>wildcard=TRUE</code> is given).</p>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># list all available data sets</span>
+<span class="kw">valuationTables.list</span>()</code></pre></div>
+<pre><code>##  [1] &quot;Austria_Annuities&quot;           &quot;Austria_Annuities_AVOe1996R&quot;
+##  [3] &quot;Austria_Annuities_AVOe2005R&quot; &quot;Austria_Annuities_EROMF&quot;    
+##  [5] &quot;Austria_Annuities_RR67&quot;      &quot;Austria_Census&quot;             
+##  [7] &quot;Germany_Annuities&quot;           &quot;Germany_Annuities_DAV1994R&quot; 
+##  [9] &quot;Germany_Annuities_DAV2004R&quot;  &quot;Germany_Endowments&quot;         
+## [11] &quot;Germany_Endowments_DAV1994T&quot; &quot;Germany_Endowments_DAV2008T&quot;
+## [13] &quot;USA_Annuities&quot;               &quot;USA_Annuities_1971IAM&quot;      
+## [15] &quot;USA_Annuities_1983a&quot;         &quot;USA_Annuities_1994GAR&quot;      
+## [17] &quot;USA_Annuities_2012IAM&quot;       &quot;USA_Annuities_Annuity2000&quot;</code></pre>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># list all datasets for Austria</span>
+<span class="kw">valuationTables.list</span>(<span class="st">&quot;Austria_*&quot;</span>)</code></pre></div>
+<pre><code>## [1] &quot;Austria_Annuities&quot;           &quot;Austria_Annuities_AVOe1996R&quot;
+## [3] &quot;Austria_Annuities_AVOe2005R&quot; &quot;Austria_Annuities_EROMF&quot;    
+## [5] &quot;Austria_Annuities_RR67&quot;      &quot;Austria_Census&quot;</code></pre>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Load the German annuity table DAV 2004-R</span>
+<span class="kw">valuationTables.load</span>(<span class="st">&quot;Germany_Annuities_DAV2004R&quot;</span>)</code></pre></div>
+<pre><code>## Loading valuation life table data set 'Germany_Annuities_DAV2004R'</code></pre>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Load all Austrian data sets</span>
+<span class="kw">valuationTables.load</span>(<span class="st">&quot;Austria_*&quot;</span>, <span class="dt">wildcard=</span><span class="ot">TRUE</span>)</code></pre></div>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities_AVOe1996R'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities_AVOe2005R'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities_EROMF'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities_RR67'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities_AVOe1996R'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities_AVOe2005R'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities_EROMF'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Annuities_RR67'</code></pre>
+<pre><code>## Loading valuation life table data set 'Austria_Census'</code></pre>
+<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 level2">
+<h2>Working with life table objects</h2>
+<div id="plotting-life-tables" class="section level3">
+<h3>Plotting life tables</h3>
+<p>The package provides two functions to plot lifetables:</p>
+<ul>
+<li><dl>
+<dt><code>plotValuationTables(table1, table2, ...)</code></dt>
+<dd>A log-linear plot comparing all given life tables.
+</dd>
+</dl></li>
+<li><dl>
+<dt><code>plotValuationTableComparisons(table1, table2, ..., reference=reftable)</code></dt>
+<dd>Plot the given life tables as percentages relative to the reference table
+</dd>
+</dl></li>
+</ul>
+<p>Both functionalities are also combined into the S3 plot function for the valuationTable class, so you can usually just call plot on the valuation tables. If the <code>reference</code> argument is given, <code>plotValuationTableComparisons</code> is used, otherwise <code>plotValuationTables</code> is called.</p>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Log-linear plot comparing some Austrian census tables</span>
+<span class="kw">plot</span>(mort.AT.census<span class="fl">.1951</span>.male, mort.AT.census<span class="fl">.1991</span>.male, 
+     mort.AT.census<span class="fl">.2001</span>.male, 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="dv">0</span>))</code></pre></div>
+<p><img 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" alt /><!-- --></p>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Relative death probabilities in percentage of the latest census</span>
+<span class="kw">plot</span>(mort.AT.census<span class="fl">.1951</span>.male, mort.AT.census<span class="fl">.1991</span>.male, 
+     mort.AT.census<span class="fl">.2001</span>.male, 
+     <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>))</code></pre></div>
+<pre><code>## Warning in normalize_deathProbabilities(cbind(x = ages(t), y =
+## deathProbabilities(t, : Reference mortality table does not contain ages
+## 101102103104105106107108109110111112 required for normalization. These ages
+## will not be normalized!</code></pre>
+<p><img 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" alt /><!-- --></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"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Comparison of two Austrian annuity tables for birth year 1977</span>
+<span class="kw">plot</span>(AVÖ1996R.male, AVOe2005R.male, <span class="dt">YOB=</span><span class="dv">1977</span>, <span class="dt">title=</span><span class="st">&quot;Comparison for YOB=1977&quot;</span>)</code></pre></div>
+<p><img 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" alt /><!-- --></p>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Comparison of two Austrian annuity tables for observation year 2020</span>
+<span class="kw">plot</span>(AVÖ1996R.male, AVOe2005R.male, <span class="dt">Period=</span><span class="dv">2020</span>, <span class="dt">title=</span><span class="st">&quot;Comparison for observation year 2020&quot;</span>)</code></pre></div>
+<p><img 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" alt /><!-- --></p>
+</div>
+<div id="obtaining-period-and-cohort-death-probabilities" class="section level3">
+<h3>Obtaining period and cohort death probabilities</h3>
+<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>
+</ul>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">valuationTables.load</span>(<span class="st">&quot;Austria_Annuities&quot;</span>)
+<span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977:</span>
+qx.coh1977 =<span class="st"> </span><span class="kw">deathProbabilities</span>(AVOe2005R.male, <span class="dt">YOB=</span><span class="dv">1977</span>)
+
+<span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span>
+qx.per2020 =<span class="st"> </span><span class="kw">periodDeathProbabilities</span>(AVOe2005R.male, <span class="dt">Period=</span><span class="dv">2020</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>valuationTable</code> object describing the death probabilities for people born in the given year</li>
+<li><code>getPeriodTable</code>: Get a <code>valuationTable</code> object describing the death probabilities observed in the given year</li>
+</ul>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977 as a valuationTable.period object:</span>
+table.coh1977 =<span class="st"> </span><span class="kw">getCohortTable</span>(AVOe2005R.male, <span class="dt">YOB=</span><span class="dv">1977</span>)
+
+<span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span>
+table.per2020 =<span class="st"> </span><span class="kw">getPeriodTable</span>(AVOe2005R.male, <span class="dt">Period=</span><span class="dv">2020</span>)
+
+<span class="co"># Compare those two in a plot:</span>
+<span class="kw">plot</span>(table.coh1977, table.per2020, <span class="dt">title=</span><span class="st">&quot;Comparison of cohort 1977 with Period 2020&quot;</span>, <span class="dt">legend.position=</span><span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</code></pre></div>
+<p><img src="data:image/png;base64,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" alt /><!-- --></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 level3">
+<h3>Other data extraction functions from life tables</h3>
+<p>| function | description | |<em>———|</em>————| |<code>ages(table)</code> | Returns the vector of ages, for which the life table can provide death probabilities | |<code>getOmega(table)</code> | Returns the maximum age, for which the life table can provide dath probabilities | |<code>ageShift(table, YOB)</code> | Returns the age shift for the given year of birth | |<code>baseTable(table)</code> | Returns the base table, from which the table projects (for cohort tables) | |<code>baseYear(table)</code> | Returns the year of the base table | |<code>lifetable(table, YOB)</code> | Returns the cohort death probabilities as a <code>lifetable</code> object for use with the lifecontingencies package|</p>
+</div>
+</div>
+<div id="creating-a-life-table-object" class="section level2">
+<h2>Creating a life table object</h2>
+<div id="period-life-tables" class="section level3">
+<h3>Period life tables</h3>
+<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"><pre class="sourceCode r"><code class="sourceCode r">lt =<span class="st"> </span><span class="kw">valuationTable.period</span>(<span class="dt">name=</span><span class="st">&quot;Sample period lifetable&quot;</span>, <span class="dt">ages=</span><span class="dv">1</span>:<span class="dv">99</span>, <span class="dt">deathProbs=</span><span class="kw">exp</span>(-(<span class="dv">99</span>:<span class="dv">1</span>)/<span class="dv">10</span>))
+<span class="kw">plot</span>(lt, <span class="dt">title=</span><span class="st">&quot;Simple log-linear period mortality table&quot;</span>)</code></pre></div>
+<p><img src="data:image/png;base64,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" alt /><!-- --></p>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">deathProbabilities</span>(lt)</code></pre></div>
+<pre><code>##  [1] 5.017468e-05 5.545160e-05 6.128350e-05 6.772874e-05 7.485183e-05
+##  [6] 8.272407e-05 9.142423e-05 1.010394e-04 1.116658e-04 1.234098e-04
+## [11] 1.363889e-04 1.507331e-04 1.665858e-04 1.841058e-04 2.034684e-04
+## [16] 2.248673e-04 2.485168e-04 2.746536e-04 3.035391e-04 3.354626e-04
+## [21] 3.707435e-04 4.097350e-04 4.528272e-04 5.004514e-04 5.530844e-04
+## [26] 6.112528e-04 6.755388e-04 7.465858e-04 8.251049e-04 9.118820e-04
+## [31] 1.007785e-03 1.113775e-03 1.230912e-03 1.360368e-03 1.503439e-03
+## [36] 1.661557e-03 1.836305e-03 2.029431e-03 2.242868e-03 2.478752e-03
+## [41] 2.739445e-03 3.027555e-03 3.345965e-03 3.697864e-03 4.086771e-03
+## [46] 4.516581e-03 4.991594e-03 5.516564e-03 6.096747e-03 6.737947e-03
+## [51] 7.446583e-03 8.229747e-03 9.095277e-03 1.005184e-02 1.110900e-02
+## [56] 1.227734e-02 1.356856e-02 1.499558e-02 1.657268e-02 1.831564e-02
+## [61] 2.024191e-02 2.237077e-02 2.472353e-02 2.732372e-02 3.019738e-02
+## [66] 3.337327e-02 3.688317e-02 4.076220e-02 4.504920e-02 4.978707e-02
+## [71] 5.502322e-02 6.081006e-02 6.720551e-02 7.427358e-02 8.208500e-02
+## [76] 9.071795e-02 1.002588e-01 1.108032e-01 1.224564e-01 1.353353e-01
+## [81] 1.495686e-01 1.652989e-01 1.826835e-01 2.018965e-01 2.231302e-01
+## [86] 2.465970e-01 2.725318e-01 3.011942e-01 3.328711e-01 3.678794e-01
+## [91] 4.065697e-01 4.493290e-01 4.965853e-01 5.488116e-01 6.065307e-01
+## [96] 6.703200e-01 7.408182e-01 8.187308e-01 9.048374e-01</code></pre>
+</div>
+<div id="observed-life-tables" class="section level3">
+<h3>Observed life tables</h3>
+<p>The observations for the given years</p>
+</div>
+</div>
+<div id="modifying-life-table-objects" class="section level2">
+<h2>Modifying life table objects</h2>
+<div id="copying-life-tables" class="section level3">
+<h3>Copying life tables</h3>
+<p>Life tables are simple pass-by-value S4 objects, so copying works by simple assignment.</p>
+<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">b=AVOe2005R.female 
+b@name =<span class="st"> &quot;Modified Copy&quot;</span>
+<span class="co"># only b is modified, not the original table</span>
+b@modification =<span class="st"> </span>function(qx) <span class="kw">pmax</span>(qx, <span class="fl">0.01</span>)  
+<span class="kw">plot</span>(AVOe2005R.female, b, <span class="dt">YOB=</span><span class="dv">2000</span>)</code></pre></div>
+<p><img src="data:image/png;base64,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" alt /><!-- --></p>
+</div>
+<div id="adding-a-modification-to-the-raw-probabilities" class="section level3">
+<h3>Adding a modification to the raw probabilities</h3>
+<p>Some uses require post-processing of the death probabilities, like adding a lower bound for the death probabilities. To achive this, all <code>valuationTable</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"><pre class="sourceCode r"><code class="sourceCode r">lt.mod =<span class="st"> </span><span class="kw">valuationTable.period</span>(<span class="dt">name=</span><span class="st">&quot;Sample modified lifetable (lower bound of 3%)&quot;</span>, <span class="dt">ages=</span><span class="dv">1</span>:<span class="dv">99</span>, <span class="dt">deathProbs=</span><span class="kw">exp</span>(-(<span class="dv">99</span>:<span class="dv">1</span>)/<span class="dv">10</span>), <span class="dt">modification=</span>function (qx) <span class="kw">pmax</span>(<span class="fl">0.03</span>, qx))
+<span class="kw">plot</span>(lt, lt.mod, <span class="dt">title=</span><span class="st">&quot;Original and modified table&quot;</span>)</code></pre></div>
+<p><img src="data:image/png;base64,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" alt /><!-- --></p>
+</div>
+<div id="adding-a-modification-to-the-raw-probabilities-1" class="section level3">
+<h3>Adding a modification to the raw probabilities</h3>
+<p>Some uses require post-processing of the death probabilities, like adding a lower bound for the death probabilities. To achive this, all <code>valuationTable</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"><pre class="sourceCode r"><code class="sourceCode r">AVOe2005R.female.mod =<span class="st"> </span><span class="kw">setModification</span>(AVOe2005R.female, <span class="dt">modification=</span>function (qx) <span class="kw">pmax</span>(<span class="fl">0.03</span>, qx));
+<span class="co"># Make sure the modified table has a new name, otherwise plots might break</span>
+AVOe2005R.female.mod@name =<span class="st"> &quot;Modified table (lower bound of 3%)&quot;</span>
+<span class="kw">plot</span>(AVOe2005R.female, AVOe2005R.female.mod, <span class="dt">title=</span><span class="st">&quot;Original and modified table&quot;</span>)</code></pre></div>
+<p><img 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gC4JRyiB/dUWlo6dOhQ/s5gC2+++WYdL+IDAGjgUODBbRmNxh07dnz11Vc3bty4c+eOh4dHSEhITEzMG2+8ERsbK3V0AACuhQIPAADghnCbHAAAgBtCgQcAAHBDKPAAAABuqBHfJldUVMS9eNRZuNdd8A835a5O4J6nZt5tv8lkMikUipqDiZogwzD8670dC4OmaZlMJnYsgfMifIJIqUtT6vQw6jmldQ/DKSl16ZLl/rU1lvm/+LJg++NwSn19fWNiYkgNjbjAP3r0qKysrEOHDs6aoMlkYhiGe1gmy7I0Tcvlcv67x7Ist4TsNBFCKioqPDw8uG6LJpPJZGss8yaWZfV6vU6ns9pE0zS/ttlp0uv1Go3GahNN0xRF8RXCVpPFvNQci/9oO00Gg4GiKKVS6YqU2h/LItvV1dVardZqE8MwQlJaWVmp1WptLQiZTFb3lNpZRnxU1dXVcrmcG1L4gqBpmhBSl5RaNJlMJpqm1Wq1qHXbzpIVvm6bN1lMROCCsGiqqqpSKpVWZ1Pgal/rkhWb0nrY/thZ7Z2y/VGr1WIXhNO3P9x7KV20/bG/bgvc/ghPqZ3tz+HDh+VyubsVeEJIs2bN2rVr56ypGQwGhmG495OyLMv9cOPXIZZl+a0qtxi4Vcq8iRBSUlLi4+PDdVs0GY1GW2OZNzEMU1FR4eXlZbWJpmlufbXfVF5ertPprDaZTCaKorgV0U6TxbyYN1kkx05TVVUVRVH8Nst+Sq022Ump/QVhkW29Xu/p6Wm1iWEYISktLS318vLiv7EWC0Imk9UlpXbGskiOXq+Xy+X8z1CBC8JkMhFCBKZUyGpvNBqNRiNfBgSu23aWrPB127zJYiICF4RFU0VFhVqt5qLimgSm1IEvi51sGwwGmqa5MlAP2x9bqz3LsuXl5XXf/mi1WrELwunbH+5dui7a/thftwVuf4SntKyszNPT0+r258yZM9yc1oRz8AAAAG4IBR4AAMANocADAAC4IRR4AAAAN4QCDwAA4IZQ4AEAANwQCjwAAIAbQoEHAABwQyjwAAAAbqjhFniTyfTKK6/0799/5syZ3COFAQAAQKCGW+D37t3bvHnzo0eP6vX6U6dOSR0OAABAY9JwC3xKSkqPHj0IIT169EhJSZE6HAAAgMak4Rb44uLitm3bEkLatm1bVFQkdTgAAACNScMt8L6+vnfv3iWE5OXl+fr6Sh0OAABAYyJZgV+2bNknn3zC/5udnd2/f39vb+/evXv//vvvhJCEhITz588TQi5cuNCzZ0+p4gQAAGiMJHgffHp6+o4dO1atWrV8+XKuD8uyw4cPHzly5Pbt29etW5eYmJiVlZWYmLhr164RI0a0bt26T58+3JC//PLLsGHDuO7Y2FiVSpWWlmbns/70pz/95z//ERgYwzAsy1ZVVfH/8u+cZlmWZVn+X4ZhKIriXs1r0WQwGIqLi8WOZdFkMplomhY7lnmTyWTiXgHucBgW82LRZJ4cO03cXOj1eiEptdXkrJTyCXEspQaDgb+bw+kptT9WzZTy78wWuCC4yAWmVMhqzzAMwzAGg6GOKa3jknUspTW/LAaDQeyCcOzLYifbXEr5F3tLtf0hhBiNxjpuf4xGo9FoFDuW07c/3GrfoLY/9x4X7711c3KXLtyQQibYqVMn7mC2LUlJSWFhYVabJCjwaWlpRUVFAQEBfJ/U1NS7d+8uWrRIpVItXLhwzZo1J0+e7Nu3b3JyssW4HTt2/Pzzz7nu8vJyiqKmTp1q57Pi4uKEH97ntuAajYb8sUgUCgWXa5qmWZZVKBR8k1wu55aKeRMhpKSkxMfHh+u2aDIajbbGMm9iGKaiosLLy8tqE03TSqWy1qby8nKdTme1yWQyURTFVQg7TRbzYt5kkRw7TVVVVRRFqdVqISm12mQnpfYXhEW29Xq9p6en1SaGYYSktLS01MvLiy9vFgtCJpPVJaV2xrJIjl6vl8vlKpVK1ILgNi4CUypktee24DqdTtS6bWfJCl+3zZssJiJwQVg0VVRUqNVqLiquSWBKHfiy2Mm2wWCgaVqr1YpaEA5vf2yt9izLlpeX1337o9VqxS4Ip29/uF9LLtr+2F+3rW5/GIYddTrlqkI1QSZr4esrMKVr1669d+9eVVWVWq3maz/DMHyiCgsL+eVlQYICP3PmTELIiBEj+D5ZWVkdO3bktllyubxz585ZWVl9+/atOW6bNm2mT5/OdWdmZhYXF8fHx9dL1AAAAI774NiRIxrPHd6a5t7ewsd6/vnnCSFlZWWenp5WdzC2bNnCH/ix0CAusisqKjL/AeLj4/Po0SMJ4wEAAHCi9OzsJaxijlGf2Dm23j5Ugj34mvz9/cvLy/l/S0tLmzVrVutYOTk5+/fv37BhAyFErVavWLHCw8PDhVECAACIV1ldPS7rZgQhHwzo55QJXr169bPPPuO6fX19bVXMBlHgIyIirl27xp0FYRgmIyMjPDy81rEqKyvz8vJycnIIIZ6enlVVVSjwAADQ0Mw7k3pb45nSrq1WrTYajXWfYGFh4YULF7hrIePi4mzVvgZR4BMSElq2bLl69eo5c+asX79eo9H061f7z5zo6Oj58+fjHDwAADRAt+7fP5GTe/jx42903muUJDY01FlT7tev35kzZ7huO+fgG0SBpyhq165dkydPXrp0aXR09N69e/lLZAEAABqLq7dvH76de7i0/JRCfU+lJoS0lSneqC6f9dTQ+g9GsgK/c+dO838jIiKOHz8uVTAAAACOufuocN/13w+Vlh2Rq++rVHKW6kpkSYTu7anqFdouyM+Xvxe/njWIPXjHXL9+fdu2bffu3SOE6HS6r776ys/PT+qgAADA/dE0fTzz+i/5934xMZc0OkJIDJGNJqZBvr79I9rr1Crz++Cd/ukpKSnLli3jnuQTFRUVGBhodbBGXOAVCoVOp+OKOv9QBQAAABepNhh+uXp1R8G93XLVQ6XKl1IMItVztPIhERFBvn7mD7pxaRhqtdrX15dlWUKIUqm0Vf4acYEPDw+fMmUKLrIDAACXMppMB65e3ZxfsEelKZUr28oUo1njC82b9evwhEqpJH88ya7e4unatet3333HdTf0i+wAAAAaGpZlz9y8+ePDR99TikdKVZhM8Rpjeim0Tfd24RRFcU+WlTpGe1DgAQAA/o+CosKNly4nV5uy1NoWlHwMaxzbunVCu3DzB843fI0m0JoqKipu377N/YDy8PCIioqSOiIAAGjEGIbdf+XyF3cLftZ4UpQ8kalaoVWM6NuTKzSuuFzOMUaj8cqVK9xFdsXFxfxz6S004gKfkZGxatUq/nWxubm5wcHB0oYEAACNUUlFRfK5c59VGm5otFGUfLmcmdi5c6CfX0lJSQM8Dr958+Zp06Zx3UlJSbZqXyMu8NyT7Lj34Go0GlR3AAAQK+/RoxXnzm9SqPUyeSJL/6eZ94CoeFv7xA3E2LFju3Xrxl3Wl5qaauusQSMu8B4eHsHBwXFxcVIHAgAAjU9pecWKMymrKaVKrnqNNc6KjgoNDKzn6+Edo1KpunXrxnVnZmbiKnoAAABCCDGaTP9NS1usNzyWqyYZ9Yu7dm0V0Jx727o7QYEHAICmwkTTX6elLSspz1FpXjYZVsQ8ERbY0mQySR2XS6DAAwCA+6NpelN6+vKS8myNbiht2tK6RUL7PoSQhn9A3mGNuMBnZGRs2rSJex+8h4fHjh07bL30HgAAmiyWZbedTf/Ho+JMjW4IQ3/dOiChXc9GXdePHj369ttvc7fJxcXFtW7d2upgjbjA63S6tm3bckVdo9FoNBqpIwIAgIbl0NWrf8u9k67zfIqhN7Rs3ieqN2lId7Q7JiAgoGvXrly3r6+vrfLXiAt8aGjo2LFj8Sx6AACo6WJu7js3sg/qvLtQZJ+/19O94xvRQ+jsi46O/vzzz7luPIseAACaioKiwoWp6RvVHiFy5SadYmy/IRRF3PVKOjtQ4AEAwE0YjKY1p08tNrKMUvM2XfVWrwRvLy/i1lfS2YECDwAA7mDn+fN/fVCUp9a8aqpc1jPeR6OVOiKJocADAEDjll1wb+75i3t1nv0Z086wNrGhoYQQW2emm45GXODN3yZnrlmzZqGhoVJEBAAA9cpoMn125sw/TJSnQpWslo3rNbCBP0a+Li5fvmwwGBiGYRiGv2CwuLjYDZ9Fb/E2OV7r1q3v3LkjSUgAAFBvjv5+bVrOnVtq7Uxav7RXL28PnRtfSff777937ty5Zn/3f5ucuRYtWkgSDwAA1I/S8ooFp059odJ1ZZkzwUHdwsOJu19JFxUVdfXqVb1eb7EHn5qa6obvg8fb5AAAmqCfr1ye9fDxQ6X2Hdbw9wH9Ve57TN5CdHQ0IYRhGJqm+aKOt8kBAECjV1pe8ZcTJzZqPPvRpl87RbVv1dqNj8nXHQo8AAA0AoczMibn5T9UaVfJ6NlDB8tkMqkjauhQ4AEAoEGrNhiWnDz1L4WmK03vj24X0TLQ/d7d7goo8AAA0HBdu3NnzOWMa2rtO6zxnaFPy2UyHJYXCAUeAAAaqK9SUuZUVAdS1PG2LRMiI4m7XyrvXDiHAQAADU6V0TjtlwOTq+inDfqUnj26t2sndUSNTyMu8OfPn58/f76/v7+/v39QUFB+fr7UEQEAgBNczs3tn3buW4VmnYr68Zlhvp6eUkfUsPz000/+f9i7d29mZqbVwRrxIfqWLVsOHjz4mWeeIYR4enoGBARIHREAANTVtvS0KSWVrQk5ExESExIidTgNUXx8/Ntvv03TNCGkurra19fX6mCNuMAHBQUNHjw4Pj5e6kAAAMAJaJr+++EjK+XqZ6urPusS07ZVK6kjaqCCgoLmzZvHdW/ZssXWg24a8SF6AABwG49KSxMP/bZSrp5HV+8aNsTbw0PqiBq9RrwHDwAA7uHanTuJV38vVmh2+3slxvaROhw3gQIPAABSOnT16sv5DwNY9vQT4R3atJU6HPeBQ/QAACCZ9adOP3O/6AlT9ZEe3SKCcNLdmVDgAQBAAizLvnfs2DQDM9ZQefjpQQE+PlJH5G5Q4AEAoL4ZTabxBw4ul6mXsoaNw4aqlDhf7HyNO6csyzrxsYXsH8gfT0O0mLhFk3mrre6aTXbGMp+yrSY7Y5k3iZ0XOwGLGqtmGA6MJTaMuqTU/li2whC+IMTOS61Nki/ZuqTUThiiUmpngqLmxXxqEqbUsTBqTanVJsdWe7FNtc5LhV7/0uGjhzQeGzSyV3o+JWpeRKXUgbEEhmGRATtN5tmo2WRnLFthWA3YqkZc4FmWZRjGiW8doGmaZVnzCXKPEeCZNzEMwzBMzaaaIQkZy7yJYRiLMISMZTUM89cpmo/Fpa7WJot5sRjLPDm2mrieAlNqq8kpKbWYiMMpNX+HlUVyzP91LKVCsm0/pXaWUc15sdpkZyxilhyapp2V0lo/y36T8DBsZZthGItZFphSx74sxEa2a6ZUku1Pze2qY0uW25xaHetxWdnI02fSNR7femlGdOniuu0P19EUtj+2NOICT1GUTCZTKJw2C1xmuQmyLEvTtFwu5xLKMAzLsnK5nG+SyWRc+TRvIoSYh2TRxFVcq2NZNFEUxU/EoomP0H4TF4bVJpqmudTZb7KYF/Mmi+TYaeLWSIEptdpkJ6X2F4R5crjBnJJSPkKLsSiK4j7asZTaGcsiOUajUS6XW02p/WVECBGYUiGrPbdJtZU3gau9RRgCF4R5k8VE7IxlJ9symYxPKdckMKUOfFnsZ5sQUm/bH1spZVnWKV8WuVxu9Rtx59HD59Iv3FZpfglq3qd9e5duf7jV3kXbH/vrdn1uf+xoxAU+LS1t1apVaWlphBCtVpuZmdmmTZu6TJD6g0Uf838FNllMVtQE7YRh/td+k/lEao5l0dN+wC6aF7ETrP8whGfbfpOQeREylhuk1E4YjmXbzrzYSalFk/m8mM+dw/MidqwGtWTtRyiwyWpKCSG5Dx4MOH+pUq48EhEaGxrK/aaxH3Bd5kXUmiPJkhWeUoum7du3jx8/njtGkrupyO4AACAASURBVJSUFBYWRqxpxAU+NDR07NixU6dOJYR4eHgEBQVJHREAAFiXc//+gAtXTIQ6Gh2Bm93r6Kmnnvriiy+4X0iFhYVeXl5WB2vEBT4gIKB37954Fj0AQAOX++DBwAuXTYQ61LFDOHbG6iwgIIDbuSV2n0XfiAs8AAA0fHkPHz59OcNEUYdjokPx2s96hPvgAQDAVW7dfzDgcgZNyNHYThHYd69fKPAAAOASBUWFQy9eJoQc6RITFhgodThNDg7RAwCA85WUVzx7Jr1UoTrcvh2quyRQ4AEAwMkqq6oSj524pVL/Gtq6fSu8QkYaKPAAAOBMRpNp7KmUc2rd/tYB3dqFWzwkDuoNzsEDAIAzzTh16rDW4/sAn/5RT0gdS5OGPXgAAHCaT0+c2K7z+Uojf7ZzrNSxNHXYgwcAAOe4nJu7oJp5pbJ0fI8eUscC2IMHAABnqKyqSrp2vTWRfZiA6t4goMADAIATzD5y9JZKdzqsjU6tkToWIASH6AEAoO52XLjwX43nShXpauPNZlD/UOABAKBObt6/N6Ok4nl9+azefaSOBf6/RnyIvqKi4vbt23K5nBDi5eXVvn17qSMCAGhyaJqedOGyp0zx3969LF6dDi5iMpmuXr3KPWCguLhYqVRaHawRF/iMjIxVq1alpaURQiiKunXrVkhIiNRBAQA0LcuPHUvReOxv5u3vbf2t5OB033777bRp07jupKSk4OBgq4M14gLfoUOHOXPmBAUFEUJ8fHxQ3QEA6tnZ7OzlRDHXpB/wRILUsTQhY8aMiYiIMJlMhJCMjAytVmt1sEZc4L29vTt06BAfHy91IAAATVFlVdWfsm6GE7LsKZx6r1dqtfqpp57iuh8+fFhdXW11sEZc4AEAQELzjh3PVelS2rXRqNR44HwDhKvoAQBAtANXr36h9lgmZ7uE4r64BgoFHgAAxHlUWjrlweP++vK/9u0rdSxgEwo8AACI8+eTp6pkVHK3LjIZ7otruHAOHgAARNiSlrZd6/Wligpp0ULqWMAe7MEDAIBQD0qK5xaXJ1aWT8L74ho8FHgAABBqxqkUhiJf9uwudSBQOxyiBwAAQb5KS92p9drioQryb2Y0GqUOB2qBPXgAAKjd7YcP3qo0vqgvH4OD840ECjwAANSCZdnpZ8+rWeazXj2ljgWEwiF6AACoxfqU0wd13t95qAJ8fKSOBYTCHjwAANhz91HhgnLDy/qykV26SB0LiIACDwAA9sxMS5MTdlU8Tr03MnUq8OXl5eb/FhUV1S0YAABoWL46c2a31muNn1egn5/UsYA4dSrw8fHxJ06c4Lp37NjRvTvujAQAcB8Fj4veqqh6Tl82Gpv3RqhOF9l9//3306dPf/LJJ3NzcwsLCw8cOOCssAAAQHKz0s9RKs2XPROkDgQcUacC/8QTT/z5z39+/fXXKYravn17RESEs8ICAABpbU5L3aPz/karaImD841TnQr8yJEjaZq+cOFCaWnp5MmT4+Li1qxZ46zIAABAKg9LSl4vrnjWWP2nfkOkjgUcVKdz8CNHjty1a1erVq2ioqKOHz/eqlUrZ4UFAAASmnkqxUBR/+mG++IasToV+EmTJlHU/14GrFAo3n77bWeE9H+MGzfuzp07Tp8sAADY8tP58z9oPf/lqWndrJnUsYDjRByib968uZDBHj165Ggw/0dJScmQIUNSU1M//PBDp0wQAABqVVRePuNh8UBT9eT+Q00mk9ThgONEFPjk5ORp06ap1eqkpKTWrVsXFBRs27atrKxs8eLFSqXS6ZF5e3ufPHly1KhRTp8yAADY8vdzF/QabXKXbvwBWmikRBT4vXv3RkZG/vrrrxqNhuuzdOnSQYMGZWZmfvrpp06PjKIohUIhk+FZewAA9WTPxYtbPLz/o2RDWrSQOhaoKxHlc/fu3dOmTeOrOyFErVZPnTp1586dTgzo888/f+mllzZu3OjEaQIAQK1KyytmPijsV1E2s1dvqWMBJxBR4BUKRV5enkXPvLw8mqaFT2TZsmWffPIJ/292dnb//v29vb179+79+++/E0JmzJjx/fffT5o0Sfg0AQCg7t48efKxQvlpVCQOzrsHEYfoX3jhhRUrVkRFRY0aNUomkzEMs2PHjhUrVowePVrI6Onp6Tt27Fi1atXy5cu5PizLDh8+fOTIkdu3b1+3bl1iYmJWVpb9Y/J37tzZt28f111eXk5R1IULF+wM3717927dugmbPwCApuu3a1c3qHQfyZgwHJxvSPbs2ZOfn19VVaVWq7kfXizLMgwjl8u5AQoLC728vKyOS7EsK/Bj9Hp9UlLSnj17vLy8WrVqlZ+fX1ZW1rNnz/379/v6+tY6+meffXbx4sWff/759ddff/311wkhZ86cGTJkyMOHD1UqFU3TQUFBP/zwQ9++fe1M5Jdffhk2bBjXHRsbq1Kp0tLS7Aw/ZsyYzz77TOAMMgzDsiyfNYZh+F8bLMuyLMv/yzAMRVF8rs2bDAaDSqUSO5ZFk8lk4q9bFD6WeZPJZFIoFHUJw2JeLJrMk2OniTu6IzCltpoaSErrHoadlNofS2BK7S8jQojAeRGy2jMMwzAMv441rpTW/LLI5XKxC8KxL4udbNdMaX1uf6qNxr7nL/kx9M8JPRiGqeOXxWg0KhQKsWM5fftjsdo30u1Px44d8/PziW1JSUlhYWEffPBBzSYRe/BarXb37t2pqamnT5/Oy8tr0aJF165dn376aT6z9s2cOZMQMmLECL5PVlZWx44dudzJ5fLOnTtnZWXZL/BDhw5l//hFkpmZWVxcHB8fL3wW7DMYDAzDcBcZcIuEX0dpmmZZlvvucU1yuZxbKuZNhJCSkhIfHx+u26LJaDTaGsu8iWGYiooK/heZRRNN0/yKYqepvLxcp9NZbTKZTBRFcRXCTpPFvJg3WSTHTlNVVRVFUWq1WkhKrTbZSan9BWGRbb1e7+npabXJfHNmJ6WlpaVeXl58ebNYEDKZrC4ptTOWRXL0er1cLue+NcIXBHezk8CUClntjUaj0WjU6XSi1m07S1b4um3eZDERgQvCoqmiokKtVnNRcU0CU+rAl8VOtg0GA03TWq1W1IJwePtjsdovPXI4T639sV2wv79/eXl53bc/Wq1W7IJw+vanurqaEOKi7Y/9dVvg9kdISu/evUsIKSsr8/T0tLr92bJlCzenNYl+VG18fLyzampRUZH5gQUfHx9n3UMPAAACpWVnf6rQvcMaY0JCWMHHdKHhq9Oz6OuI+6nI/1taWtoMT00CAKhHRpNp+q3bTxDy9tMDpY4FnEzKu8wjIiKuXbvGHTxkGCYjIyM8PFz46GlpabNnz+bOWGg0GjzRFgBArI9PnLim0X0ZHqpSSrm/B6Js27aN+sPOnTu5e9BqErFEi4uLvby8+BMkHKPRWFlZyZ+iECUhIaFly5arV6+eM2fO+vXrNRpNv379hI8eGho6duzYqVOnEkI8PT3xqhsAAFFuP3ywnKamGSvi8bLvRmXgwIHr16/nLrktLCz09va2OpiIAu/n55eVlWXx0vdjx46NHDmytLTUgRApitq1a9fkyZOXLl0aHR29d+9eUc+tCwgI6N27txMvsgMAaFLmpJ/XKlTvJfSQOhAQp3nz5lOmTOG663SR3datW7du3cp1v/baa/ylgJyMjIzAwEDhYVk89i4iIuL48ePCRwcAAKfYf+nSLq3nfzVyP0/rd1FDY1d7gVepVHxR9/DwsCjw/fr1mzx5sktCq011dfWjR49u3rxJCNFqtUFBQZKEAQDQ6Oirq2cVPOhDmybhlXGNEMMwOTk53I3+lZWVtm5Wr73Ajxo1inul240bN9asWdO2bVvnBuqwS5curVq1invQDUVROTk5wcHBUgcFANAIrEg5nafS/hjWRuCDTKBB2bRpE3f9GSEkKSkpJCTE6mAizsGnpKQ4IS7n6dChw5w5c7gdd61Wi+oOACDE9bt3/yXXvEFXx4aGSh0LOOKll14KDQ3lHlqQkZHBPcynptoL/CuvvBIdHT1//vyVK1faGmbevHkOB+owb2/vDh064CI7AABR5l7NCJQrF/XtJXUg4CCdTjdo0CCu++HDh45fZLdx48ZBgwbNnz9/zZo1toaRpMADAIBYP547+6vWa4tO4aHVSh0LuFbtBb6srIy79z0nJ8fl4QAAgMtUGwzzHzzuzZhG9cJz69xf7QXe4rJ5QojRaMzPzw8ICNBqtRJeoJGTk7N///4NGzYQQjw8PJYtW8a/+gIAAGr66OSpW2rNtpAgXFvXqP3+++9r167lrqL39fVt3ry51cHEPZtw06ZNS5YsuXnzJsMw58+fX716dbt27RYuXCjJulJZWZmXl8cdV9BoNJWVlSjwAAC23HlU+BFDTTdVdg4J5WoDNFIFBQXp6encRXZxcXG2ap+IAr958+YJEyaMGTPm448/fuGFFwghCQkJf/7zn728vObOneuUoEXhLv3DRXYAAEIsOHtWqdAs6ZkgdSBQVwMGDOBuESfOel3s+++/P3HixI0bN/J9ZsyYkZ2dvW7dOkkKPAAACHQqK+s7jedqJRvg48M9wxzcnohnv9+8efPZZ5+16Nm9e/fc3FynhgQAAM7EMOwbuXc6VVfOfBK3xjUhIgp8hw4dTp06ZdHzypUrkZGRTg0JAACcKTkl5bzW499tW1u8DhTcm4hD9LNmzZo+fbpWq50wYQIh5MGDB8nJyR9//PGKFStcFp49FRUVt2/f5tZXDw+PqKgoScIAAGjIyvWV75brXzAZBjzxpNSxgHMYjcYrV65wV0oWFxcrlUqrg4ko8FOmTCkpKVm6dOmHH35ICBk6dKhOp5s3b96cOXOcErFYGRkZ/LPoCSG5ubl4Wi0AgIX3T50qUqpXROGN7+5j8+bN06ZN47qTkpJs1T4RBZ6iqDfffHP69OkZGRl5eXmtWrWKjo729fXlrtSvf9xV9GFhYYQQjUaD6g4AYCHv0aNVlGq2qToC79t0I2PHju3WrRtXfFNTUxUK66VcRIHPysqKjIz08vJKSEhISPjfjRaXL1+eO3fub7/9VveIxfLw8AgODo6Li6v/jwYAaBTmpaVrlOqFCbg1zq2oVKpu3bpx3ZmZmbZukxNxkV3fvn0vXbrE/1tYWDh79uwuXbrcunWrLoECAIArpNy4sV3j+Z5W5e/tJXUsIAERBX7gwIH9+/c/deqUyWT6z3/+ExkZ+d///nfJkiUZGRmuiw8AABzAsuyCm7kdqitn9OwpdSwgDRGH6L/55pvZs2cPHjw4NDQ0IyNjzJgxH330Udu2bV0XHAAAOGbr2fRTOs99/l4K3BrXVIko8HK5fO3atb6+vh988MGHH344f/5814UFAAAO01dXLywuH0Kbnnmqt9SxgGRqL/BHjhwx/3fo0KFXr15dvHhxy5Yt+QvXn3rqKRfEVgvzt8mZCwkJefvtt+s/HgCABuLjU6fuqjS7QltLHQg4TUlJybvvvmswGFiWZVlWJvvfGXZfX99mzZpZHaX2Aj9gwACr/SdNmsR3S3KnnPnb5MyVlZXVfzAAAA3E/ceP/8lQU0yVHXEK1Y1UVlZeuHBBr9cTQliW5V/iGhcX5+HhYXWU2gv8w4cPnRiiE+FtcgAANb2TmsbK1e/GdZU6EHCmoKCg48ePE0IYhqFpmn96XZ3eJmfrTfIAANDQZNy585VKt5gyBfn5S/UUMmggRFxkV1RUtGjRonPnztV81WBKSopTowIAAEe8celKoEL5Rj9cWwdiCvy0adN27949evTowMBA1wUEAACOOZaVdUDntUmn0Gk0eOk7iCjwBw8eXLhw4aJFi1wXDQAAOIam6b89LOpB2D/1HyJ1LNAgiCjwAQEBPXr0cF0oAADgsPVnzmRoPY4GNeOvr4YmTsSjaidNmrRhwwbuBbQAANBwlOsrF5dXjawo6dchSupYoKGofQ9+5cqVXIdWq01JSYmJiUlMTAwICDD/kThv3jxXBWhbUVHRxYsXc3NzCSEajSYxMZG/8R8AoEnhXvr+blgbqQOB+lBcXMw/gy4/P1+r1VodrPYCv2bNGr5bqVRWVFRs27bNYhhJCnx2dvaGDRvS0tK4wLKzs/FgfABogu48KlxFqf5sqmrXAldANwn79+/nnzWXlJQUGhpqdbDaC3zNR8U1EF27dv3oo49iY2MJIWq1WqfTSR0RAIAE/p6WrlaoFyYkENz43jSMHTt2xIgR3I0Su3fvtnXqXNwx7Xv37iUnJz9+/JgQcvfu3Y8++igvL6/usTpGoVDodDo/Pz8/Pz9UdwBomi7m5G7WeLyjljX39pY6Fqg/3t7eXPnjH2lXk4gCf+bMmejo6OnTp1dWVhJCDAbDypUrY2JiuIPkAABQ/97KzAwxVM3CS9+hBhEF/q233urYsWN2dnbr1q0JIWFhYbdv3+7VqxfeGwsAIIldFy4c1nl/1NxPrVJJHQs0OCIK/Llz52bPnh0SEsL30Wg0kydPPnv2rAsCAwAAeyoMhjcePe5TWfZSXJzUsUBDJOJBN0FBQTXPuN+6datFixZODQkAAGr37pkzBSr17tbBUgcCDZSIPfgxY8YsWbJky5YtBoOBEGIymb7//vtly5aNGjXKZeEBAIAVFwuLPjVRC8pLnmjXTupYoIESsQe/aNGigoKCcePGjRs3rlmzZo8fP6ZpOikpaenSpa6LDwAALJhYdvLFy+2q9PN7xksdCzRcIgq8QqFYv379ggULUlNT8/LyWrZs2b17906dOrkuOPtYluXee++sCTIMw0+Qe48yf3Mhy7Isy1o0cR3mTdy/5t2EEPMIzcey1cR1iB3LoombEVtjWcyLrYDtzwtN09zTDK1GxXdQFGW1ySJvdposuu0sCFvJoWnaYlVxIKXc59qaZVsprRm/AwvCPNs1UypkQdhfsjVTWmu2zb8sdUyprVkWMkHhKbXTxM2IRQ5tpdRWU63zUjOlFk2itj//yrxxkZIfUrAaP3/nptRqhI5tf2yFUZ/bHyELwk62a4bhQHLqYftji4gCz4mMjIyMjBQ7luvw33OnTIpja+LmeTffvlj8a9FkNWCWZSmKsjV9izAsJiWwyda81OwpdgpCPlrI9AU21UypnQVhawq2pm+nyU4YwoOv2e3AgqgZhvCPszMRUfNif7Wv2WTB6mpvPwzH5sXOYFbnyP5sWp0dF60eNZesrdU+t9qw7N7Dqffy+gwfXnPKAheEnQw4d1W38z21n22HVw8ha6nw+aqZUoGrvZ2xHIiq1mxYVXuBf+WVV6Kjo+fPn88/lL4mSR5V++jRo9TU1EuXLhFCNBrNuHHj5HJ5XSbIMMzXDwsphYIQwrIswzAymYzfbSKEcM+6t9NECNHr9Vp9NT9B8yaapm2NZd7Esmx1dbWmQm+1iWEYfjbtNFVXV6tUKqtNNefFapOdeRGeHKPRSFGUwjUptT+WRbaNRqO6vNJqE8uyQlJaVVWlrtDbWhAURdU9pXaWkeQptWiiaZqmadUft2YJXLfthCF83TZvspiIwAVR88uiVCrFZsDpKTWZTCzLcg8tsT/WN7fzvA1VK9qFKDw9uQN13PrADcN3WzQZjUaZTMZNhNuntNrEsqz5RMybuN1QIU3cFLgMWzSZTCaKomptspgX8yaWZU0mk1wu5/Nmq4nbx+W/LA401ZpSuVzOp9RWE0VRRqPRKSnl14eCgoJ9+/ZxNb6wsNDLy4tYU3uB37hx46BBg+bPn2/+UHoLkhT4nJycLVu2cI/Z8fDwGDRoEHeDfl38NTevksbr8gCg4VKy7Na7N/0HT5U6EJDM8ePHX3vtNe6XX1JSUjsbF1rWXuDLysq4H0cN7aH0PXr0WLNmTXy8M68xKezRVaPRkD9+0/G/mMx/nfE/96z+cCspKfHx8eG6Hfu5xzBMRUUF/4vMoommaf7BhHaaysvLdTqd1aaav6CtNlnMS82fyXxy7DRVVVVRFKVWq4Wk1GqTnZTaXxAW2dbr9Z6enlabGIYRktLS0lIvLy/+F7TFgpDJZHVJqZ2xLJKj1+vlcjm36yx8QZhMJmK2U2I/pUJWe6PRaDQa+UdEC1y37SxZ4eu2eZPFRAQuCIumiooKtVrNRcXvNglJqQNfFjvZNhgMNE1zrwWzM5Yp/Qy9/VvFqzMJXp7ZhL344otjxozhurds2VJdXW11sNoLPL9ZBAAAKRmqmV/2kKiOVGQHqUOBRkDc62JtmT17tjOCAQAAm0yHDrAV5bJnhksdCDQOtRf4ZcuW1ToMCjwAgEuxRYX0iSPyvgPYZgFSxwKNQ+0F/t69e/UQBwAA2GHavYPSaORPPW2SOhJoLHCZBgBAQ8fezGIyLsufeZ5otFLHAo2GiAfdFBUVvfvuu+np6TUfoJOenu7UqAAA4A8Mw+zZSbVuK4+Lr/3hJgB/EFHgp0+fvmfPnrFjxwYGBrouIAAAMMeknCQP7ilmvk4oigh4fhkAR0SBP3DgwMcffzxr1izXRQMAAObYinLm0M+y2DhZSJjUsUAjI+IcfOvWrW09LgcAAFyB3r+bMDQZmih1IND4iCjwr7766hdffCHkDTYAAFB37N08Oj1FNnAo5e0jdSzQ+Ig4RB8UFPTgwYOYmJjnnnsuICCAf9kDkehZ9AAA7oxlTTu3Uc2ay57sixPv4AARBf6dd97hOrZt22bRhAIPAOBcdFoKcztX+epMVqHAtXXgABEFvqG9bAYAwG3pK5lf9shiusg6PIETo+AYPOgGAKDBYX/7hTVUKxJHSB0INGK178G/8sor0dHR8+fPX7lypa1hpHof/P79+zds2EAI8fLyWrp0KfemRQCARo0tyGfPnJIPGkr5+UsdCzRE169fX7t2LXdox9fXNyDA+usJai/wGzduHDRo0Pz58+28Vk6SAl9aWnr9+vXr168TQnx8fBYsWIACDwCNHsvSu38gvn7y/oOkDgUaqLt37x46dMhkMhFC+vfvb6v21V7gy8rK5HI5aXjn4Dt37rx48eL4+HipAwEAcBr6bCpz8wY1YQpRKKWOBRqogQMHcju3hJAtW7ZUV1dbHaz2c/Cenp4Wvw6MRmNubm5lZSWLCzsBAJyoSk//vFvWqTPVIVrqUKDRE3eR3aZNmyIjIzUaTWhoaGZm5pQpU5YtW4YyDwDgFKaf97BVVfLEkVIHAu5ARIHfvHnzhAkTunfv/uOPP3J9EhISFi1atHr1atfEBgDQhFAFd+kzJxW4tg6cRMR98O+///7EiRM3btzI95kxY0Z2dva6devmzp3rgtgAAJoMlqX27qT8m8n7DsBBUXAKEXvwN2/efPbZZy16du/ePTc316khAQA0OezZM+TObcWIJKIQsd8FYIeIAt+hQ4dTp05Z9Lxy5UpkZKRTQwIAaFrYslJyYB/bKVYW2UHqWMB9iPipOGvWrOnTp2u12gkTJhBCHjx4kJyc/PHHH69YscJl4QEAuD/Trh8Iy7JDn5M6EHArIgr8lClTSkpKli5d+uGHHxJChg4dqtPp5s2bN2fOHJeFBwDg5pjrGcyl8+SFl4mXt9SxgFsRUeApinrzzTenT5+ekZGRl5fXqlWr6OhoX19f1wUHAODmDAbTzu2ysHA2Lp4wjNTRgFsRfTWHl5dXQkJCQkKCK6IBAGhS6F/2sKUlysmvGSlK6ljA3Ygo8EVFRYsWLTp37lzNdxempKQ4NSoAgCbgbh59+rji6WeoFoHEYJA6GnA3Igr8tGnTdu/ePXr06MDAQNcFBADQJNA08+N3VECg/KmnpQ4F3JOIAn/w4MGFCxcuWrTIddEAADQR9JGD5P49+WtziVwudSzgnkTcBx8QENCjRw/XhQIA0ESwBfn0bweo3v1lIWFSxwJuS0SBnzRp0oYNGxhc5wkAUBcMY/x+M+XXjBo0TOpQwJ3Vfoh+5cqVXIdWq01JSYmJiUlMTAwICKDMrvmcN2+eqwIEAHAv9G8H2Lt5iulzGCXe+A4uVHuBX7NmDd+tVCorKiq2bdtmMQwKPACAIA/umw4fkPd5ShYWzphMUkcD7qz2Ap+Tk+P6MAAAmgCGob/fTHn7KIYk4pVx4GoizsETQu7du5ecnPz48WNCyN27dz/66KO8vDzXBCYB9tf95PvNUkcBAG6LOfIryb+jGD2BqFRSxwLuT0SBP3PmTHR09PTp0ysrKwkhBoNh5cqVMTExaWlpLguvXlHlZeThA6mjAAD3xN65zRw+QPXqJwttJ3Us0CSIKPBvvfVWx44ds7OzW7duTQgJCwu7fft2r1695s+f74rIKioqnnnmmYSEhGHDhpWUlLjiIyywSiVlNNbDBwFAk2MwGLd+TZoFyIY8K3Uo0FSIKPDnzp2bPXt2SEgI30ej0UyePPns2bMuCIxs3ry5R48eZ86cefrpp7/44gtXfIQlpZoYq+vjgwCgiTHt3sE+fqwYM5EocOU81BMRT7ILCgqqecb91q1bLVq0cGpI/xMbGztkyBBCSLNmzR49euSKj7BAqVSsAXvwAOBkzNVLdOopxQsvkZZBhMXVdVBPRBT4MWPGLFmypHXr1i+++KJKpTKZTDt37ly2bNlrr73misji4+MJIT/99NOaNWt2797tio+wpFIRA/bgAcCpykrpHVtl7Z+QP9mXxoPCoB6JKPCLFi0qKCgYN27cuHHjmjVr9vjxY5qmk5KSli5d6sSAPv/884MHDw4fPnzixImLFy/OyMjYt29f/bzehlWpCMMQk4koRL9FFwDACpZlf9hKKJli9HiCF8JC/RJRyRQKxfr16xcsWJCampqXl9eyZcvu3bt36tRJ1OctW7bM09Pz9ddf5/7Nzs5+9dVXz58/HxMTs2HDhqioqBkzZsyYMYMQ8v3335eWlm7bto2qr28FpVKxhBCDAQUeAJyCPvorm52pmDSN8vSSOhZockRXsoiIiMjISEJIVlZWVlZWy5YtmzdvLmTE9PT0HTt2rFq1E9LrCgAAIABJREFUavny5VwflmWHDx8+cuTI7du3r1u3LjExMSsrSyb733V/v/3228GDBw8fPkwImTx58ty5cwkhp0+fnjNnDjdAy5YtVSqV/efwDB8+fMGCBQJnjSGUkpDKkmIuNoZhZDIZ9/OCewI/F5udJkKIyWTibiOs2UTTtK2xzJtYljUajfxELJoYhjH+cam/nSaj0ajX66021ZwXq0125kV4coxGI0VRNE27IqX2x7LItq2UMgzDJVxISisrK20tCIqi6p5SO8vIIqUmk6meU2rRRNM0t1itptTOgrAVhvB127zJYiICF4RFk8FgYFlWbAYEpfTObfnB/XR8L1NwGFVZaX+CJpOJWxtdsWRrLghbqz35Y1UXtSBqfllsZbs+tz/c18RF25+aKbXTVJeUJiUl5efncxGSP7Asyy+v7t27c7e21SSiwOfl5U2ZMqVt27YbNmw4c+ZM7969aZr28/M7ePBgXFxcraOnpaUVFRUFBATwfVJTU+/evbto0SKVSrVw4cI1a9acPHmyb9++XOvatWtrTsTHx4f/LIVCoVQqmzVrZudDO3TooBT8tGeTRksIURKWKJUsy9I0LZfLzb8PcrmcEMI1yWQyLt3mTYSQ6upq/hMtmrhNj9WxLJpMJhM/EYsmhmEUfxxgsNNkNBoVCoXVJvONoJ0mi3mx2HSaJ8dOE7e14iZSa0qtNtlJqf0FYZEcmqbrmFKDwaBUKvkIBY4lMKV2xqqZHJlMZjWl9pcRIURgSoWs9twAtlIqcLW3CENgSs2bLCYicEFYNJlMJoVCwUXFNQlMaS1LtqqK+X4zadmKGpKoMFtzbGWbaxX4Zan79sdWSrlR6r79USqV7r39qZkBF21/unXrFhQUxK2l3GAsy/I/SQkhfn5+Op2OWCOiwP/lL3+5cOHCpEmTCCEffvhhv3791q9f/+qrr77zzjv79++vdfSZM2cSQkaMGMH3ycrK6tixo0qlIoTI5fLOnTtnZWXxBd6q6Ojozz//nOvOzMwsLi7mrsVzCkajIYQoGIZSKrnfRwqFgl+HWJbl8ss1yeVyLr/mTYQQfuNbs4mbTatjmTcxDMPVEqtN5iuKnSbuK2pr9eLit99kMS/mTRbJsdPEfff4L5j9lFptspNS+wvCItvm2yyLJn6raj+lXBj8JsBiQchksrqk1M5YFskxmUz8vAhfENxfgSkVstpzfWylVOBqbx6G8HXbvMliIgIXhEWTwWBQKBRcVFyTwJTaW7KEMD9sJgaDctxkWq0WstpzZUbgl6Xu2x9bqz3LsuYlTeCCqLn9Mf/NJNX2h2EYYlbgnbv9qZlSB7Y/QlL63nvvEULKyso8PT2tbn+2bNlSXW398nAR98EfPXr073//+7hx48rKyn766ac5c+a0a9du7NixDj/JrqioyMvr/5+X8vHxqZ/b4WyhVGpCCIsL6QGgbpgjvzKZvytf/hPlb+8QI4BLidiDZxjGw8ODEHLo0CGKop566ilCiFwur6qqcuyz/f39y8vL+X9LS0vtH2+3UFBQcOLECe4kva+v75QpU8x/PTlCrSaEkGpDnSYCAE0bm5PNHPpZ3ucpWcfOLO56Bxe4f//+d999x11kUF1d7efnZ3UwERUxPj4+OTm5U6dO77//fv/+/f38/IqKijZv3hwVFeVYiBEREdeuXeNOLTAMk5GRER4eLnz0O3fu/PTTT9zxA09Pz+eee87WhQZCca9/wB48ADiKLStlt35DtW6reOZ5qWMBt3Xy5MkFCxZw19YkJSW1a2f97QYiCvw///nPoUOH9u7dW6fTHThwgBASHx+fl5f3ww8/OBZiQkJCy5YtV69ePWfOnPXr12s0mn79+gkfvUePHmvWrHHiOXjCnaoxYA8eABzCMKbNX7G0ST5mIvnjXDKA040aNYrbfSd2z8GLKPAeHh7p6en37t0LCQnhLob/8MMPY2NjIyIiHAuRoqhdu3ZNnjx56dKl0dHRe/fu5S+ckYZSRSiKGFHgAcARpv27mFvZsknTKD9/qWMBEHmIftKkSf/+97/5Pi+++KLYz9u5c6f5vxEREcePHxc7EVehKKJQ4BA9ADiAybhMHz+sGJLIRjp41hLAuUQU+FmzZm3dunX58uW2brmrZ3fu3Dl06NCOHTsIITqdbv78+RqNpq4TVapwiB4AxKKKCo3fbZJFdZQPGGwyewQQgCvcvHnzq6++4m/0d8JFdtHR0W3btu3YseOoUaNatGghNzvDNG/evDqG64CioqLz589fv36dEKLVamfMmOGEAq9WExsnMwAArDNUK7/fTOl0SjxwHupFZmbm9u3buQLfv39/ysZaJ6LA//3vf+c6al5VJ0mB79y58+LFi515kR3hXiiHPXgAEIxljd9tooqLlLPeJNoGcXQT3N6wYcOGDx/OdTvnIjv7T313D6xCiQIPAMKZDu5nrl4yPf+SplXdbtMFcDZJr1pveCiVijXiED0ACMJcuUj/9ot84BC6Y2epYwGwJGIPvqioaNGiRefOnaNrXEKSkpLi1Kiko1JjDx4ABCnIN373jSw6RjH4WVJaKnU0AJZEFPhp06bt3r179OjRgYGBrgtIuLS0tFWrVnFPsvPw8Lh+/Xpdn2RHCKtUkvIyZ0QHAO6MLS9jvllP+fkrk3BhHdS3H374Ydy4cdzbdJzzJLuDBw8uXLhw0aJFzgmwzkJDQ8eOHTt16lRCiEajadmyZd2nSanUbLWUL7wBgEbAaGQ3JROjUfnaXFL3m3cAROrbt++6deu4q+gLCwvNX9tmTkSBDwgI6NGjh3Oic4aAgIDevXs7+Sp6NQ7RA4BdLGvc+jVbkC+fMhNPrANJtGjRYtq0aVy3c14XO2nSpA0bNnDHBNwViyfZAYBdpj0/MlcvUSOTqJAwqWMBsKf2PfiVK1dyHVqtNiUlJSYmJjExMSAgwPzOeknug3cFSqVm8Sx6ALCBTjlBnziiSBzBdomTOhaAWtRe4NesWcN3K5XKioqKbdu2WQzjNgWeVSopHKIHAKuuZ9C7fpAn9JL3G8i/ywugwaq9wDfY59vk5OTs379/w4YNhBAPD49ly5Y54SH5KjVhGGI0EoWIqxMAwO0xubeYrV/LojoqRiRJHQs0db///vvatWu5M+a+vr7Nmze3Olhdy9jFixcPHjwoyR58ZWVlXl4e9/tDo9FUVlbWvcBTKhXhXgmPAg8Af2Af3Kc3fkm1DFKMnUikfas1ACEFBQXp6encVfRxcXG2ap+IMsYwzJYtWy5evGh+nd2RI0cKCgokKfDR0dHz58937lX0rFJJEUKMBkLwTGkAIIQQtqTEmPwZ0erIuFeJUiV1OABkwIAB3DNgiLOeRb9kyZL33nsvJiYmMzPT19c3ODg4IyNDpVJt3brVCfE2ECo1IQR3ygHA/1Tpjf9dR2haMX0O7Wn9bmOAhknEsaaNGzfOnDnz0qVLycnJPXr0SE1NvXXrVvPmzd3qxrn/FXjcKQcAhBiN9Nfr2ceFysmv4ZZ3aHREFPj8/Py+ffsSQgYMGJCamsqybEBAwKxZs5YtW+ay8OqdUkkIYVHgAYBhmO++Ye/kKSdNp/CmOGiERBT4Zs2aXb9+nRASFBREUdTly5cJIX5+fhcuXHBVdPVPpSIEh+gBmjyWNe34jr2eIR89XtYuQupoABwhosA///zzq1evXr9+PSEkLi5u1apVeXl533//fatWrVwWXr1DgQcAQkw/76bTU2QvvEThPbDQaIko8P/85z9HjRq1d+9eQsj777+/devW4ODgffv2LVmyxGXh2ZOWljZ79myqhsjISMcnquRuk8MheoCmiz51jD7yq2JIItW9p9SxAPzPjRs3VCoVRVFyuZzr4OzcufP333+3OoqIq+i9vb253XdCSGxsbH5+fmpqakRERFiYNA9kNn+bnEV/xyeqVBKKwh48QJPFXjzH7N4hf7KvfOAQPK4OGo7Q0NDk5OTKykqWZRmGkcvlXP/CwkJvb2+ro4go8OfPn4+NjZX98ZAHHx+fwYMH1zHiunDJ2+QoiihVuIoeoGlir2ewO7bKYuMUL7wkdSwA/4dCoRg/fjwhhGEYmqaVSiXX3zlvk+vWrVvLli3Hjx//9ddfFxQU1D3cholSqVjswQM0PcytbNO3/6XCIxUv/4mYvUwLoJESsQe/Z8+eY8eOHT9+fOrUqUajsXPnzkOGDBkyZEifPn20Wq3rQqxvKhUO0QM0NWxBvnHjl7KgVmTMRPLHwU+ARk1EgU9MTExMTCSE6PX6M2fOHD9+fN++fStXrtRoNHq93mUR1jsVDtEDNDFFj4wb1lI+vvJJM2juaVcAjZ/oV6rcvXv35MmTJ06cOHHixMWLFxUKRZcuXVwRmVQolRqH6AGakNJS+qt1lEqlnPpnVqcjNC11QADOIeIc/MSJE9u1a9emTZtXXnnlypUrw4cPP3DgQHFx8enTp10XnwRUKmLjggUAcDNsRYX82w0UwyinzqK8rF+KDNBIidiD/+abbwghAwcOnDt3bt++ff38/FwWlaRUamLEHjxAE1ClN25YS5WXy6bNpvybSR0NgJOJKPBHjx49derUyZMnX3311cLCwo4dO/bu3btXr169evWq07NlHHX9+vVt27bdu3ePEKJWq7/++mt/f2e8DUKlIhXlTpgOADRkRoPxqy/Ywof0+CnywJZSRwMgwsmTJ5cvX851R0VFtWjRwupgIgp8v379+vXrRwhhWTYzM/PkyZPJyclffPEF16fOAYumUCh0Oh13IMHT05O/KbCOKJWKwUV2AO6Npo2bv2Lu3Fa+OtMUGCR1NADieHp6Nm/enKZpQohSqbRV/sRdZMcwzNWrV4/+4eHDh8HBwUOGDHFCvOKFh4dPmTLFyQ+6IYSo1LhNDsCdMQyz/Vty47py4jRZuwhSUSF1QADixMbGbtmyheu286AbEQV+5MiRx44dKyoq8vLyGjBgwKJFiwYPHhwZGUm52RMhcB88gBtjGNN335CMy8o/vSKLipY6GgAXElHg79+/P3v27CFDhsTHxzvreHgDRKnULK6iB3BLDGPcspG9clH28jhZjFvd3wtQk4gCf+rUKa7DaDTm5uYGBARotVp3230nhKhUxGggUlxVAAAuxDDG7zczVy7KXx7HorpDEyDiPnhCyKZNmyIjIzUaTWhoaGZm5pQpU5YtWybJFXYupFIRliV4ixSAO6FpestG5tJ55ejxsi5xUkcDUB9EFPjNmzdPmDChe/fuP/74I9cnISFh0aJFq1evdk1s0qBUaoJXwgO4E5OJ+X/snXdAFFe7xt/ZCgtIkSLSixDRqIAGC5bYSOxi7yYajUaNXzTFmFx7jCbeGDX22EBRUVEiqCAWEBso2EAFBUSKNOnLlplz/5i4d79ldtkGC3h+f+3OmXnOM+/Mnndn5sw5x4+gp0+4U2ezunU3tBsMponQ4Bb9L7/8MnPmzMOHD8uWzJ8//8WLF7t37/76668bwZuB4PEAAMRi4BsZ2goGg9GZujrJkX0oJ4s9eSZ+7o55r9DgCv7ly5fDhg1TWNi9e/ecnBy9WjI09FQT+Aoeg2n5oOoq8d7tVG4Oa/ocolMXQ9vBYJoUDa7gvb29b968OWnSJPmFjx8/NsgwdgCAECJJUiKR6EtQKpUihEgWCwBIoZBeIr+CfF0kSZJyk1LIiiiKUrCkzlbyRRRFKYios5VCER0ZFovFuBVCiKKoBosUbChsJR8cZUW0N3kbKkKqrEgvIVU4VbQIKW1Dvlep/Fb0UWMsUj+k6kSbJEmEkLwNdQ4E474wFqnYCuSCI5VK9RXSButSXaQg8l8Hovyt+OAeENYQn30JTi7KjhFJkvRvnzECap726v9YQEm0pVKpgohB2h/aue7tD707jFs1WftDf3gf2h9laJDgv/rqq3nz5hkbG8+YMQMAioqKDhw4sGXLlo0bN6ovol9YLBZbfzM3000ny8iIAiCkEgQgE6fPHvpEoU8mFotFx1q+CAAIgmDcitZXtpV8EUEQ8iLyRXTV6hTRkZE3rGJflBnWYl8UgkN/oEXqxw0hpKxIHRuqt5J3CP99qiiYl9lQHVLahrIDQRCELiFVvZW8KxaLpWxf6tuQLwK581nBhsKBUDPaKkKqzqmiYEP9c1vhyCr8WP4/AgV50oN7CA6H/eVSwsZWRbTlQ6r+SaViX1QcCBWnvfwx0uhAqHOC1Tev4rTXS/ujENLGa39URJveXM32R4/NIKjd/qgfUhXtjwo0SPBz5sypqKhYt27dpk2bACAoKEggECxfvnzx4sXqi+iR9PT00NDQ7OxsADAyMjp79qy1tbUugiwWi6IolpExABASCXqXawEAIYQQkj+H5E8pWREAyJbXL1I4EZUVKYjIF9U/h5QV0csZi+TNqyhSsKGwy/Auedcvkv8V0QFkLJKJMBapE1LVB0Ih2spCqmIrxpAq+zHrGFIVWylEW/7Iqn8gGPdFFlKFA6HOaU8raxpSFUdW/ZCq82OhnqVLjx4AC0vunK8Ic3PV0Wb8sTCGVFmRiiOr/mnPYrHqR7vp2x8VP5aW2P4oi7aap31zC6lsl69evbpy5Up6L/z9/du3bw9MaJDgCYJYtmzZvHnz0tLScnNz27dv7+PjY2Fhob6CfhEIBE5OTm3btgUAExMTgUCgH91/n8HjwewwmBYJmXRLGnGScHUnpszCM8BiWiX29vbdu3en/wRYWFgoS3+ajUUPAHV1dUKhkL6ToMfb41rg6uo6ZcoUvY9FT/B4gF+Tw2BaIghRcZeouIvs7j1ZYyaQDW+AwbRIPvjgg127dtGf9TMWvVQqXbZs2a5du2TP9s3NzVesWPHdd9/JnjS0BjgcYLHwFTwG08IQi6njRyDtESdoBHvgUIqigMQpHvNew1J/1bVr127btm3p0qWPHj0qLS1NTU2dMWPGDz/8sGPHjsbzZwAIArhcnOAxmBYEKisV7/wDnqezJ81gDzTM/JYYTHNDgyv4Y8eOLV26dPPmzfRXKyur7du3i0SiPXv2GKqfXSNBcHkgwQkeg2kZUFmZ0tCDwGaz5n5FOLkY2g4G01zQ4Ar+7du3ffr0UVjYr1+//Px8vVpqBvDxlPAYTMuAnZIs2fcXYW3DXfItODgZ2g4G04zQIMEPGDAgOjpafglCKCoqKjAwUN+uDA2Pj0eyw2CaOxKJ9EQI98I59ke9ufMWE6ZmhjaEwTQvGr5Fn5qaSn9YuHDh1KlTg4ODp0+f3r59+/z8/MOHD6ekpFy8eLGRTTY1BI+H8BU8BtOMQW/LJCF/ozeFkuFj+f0+NrQdDKY50nCC9/X1lf8aEREhm02OplOnTqj1zRiLEzwG01yhsjKpY4eBzeLOX1JnbrChODCYZk7DCT4jI4P+kJmZaWVlZWVl1ciWmgE8PojqDG0Cg8EwgBKvU5fOs1zcONM/J0zNoKLC0I4wmGZKwwne09OT/vDRRx/NmjXrjz/+aGRLzQAeD6oqDW0Cg8H8N2KR5FQYenCf1bsfd8RYMOhAWxhM80eDTnZfffXV+fPna2trG89NMwE/g8dgmhuopFj81/9STx4RwZPYI4NxdsdgGkSD9+B9fHycnJw6deoUHBxsa2srP07t8uXLG8Gb4cC96DG6ER4e/vLly/rL0X/P9KoFuis0HxENFEgSxGIgCDC1hms34NoNw9ho9iLYhmo4HM7s2bPpGUzeBzRI8CtWrKA/nD59WqGoNSZ4fAWP0Z6CggJLS0t3d3dDG8FgMP8iFArv3btXXl6OEzwD9MSs7wMEj4fEolY0vD7GADg7Ow8ePNjQLjAYzL+UlJTcu3fP0C6aFA2ewcuQSCQ5OTm1tbWt7e04GVweSCTQWvcOg8FgMO8BmiX40NDQDh06GBkZubq6Pn/+fM6cOevXrzdUmk9KSlq0aBFBEARBmJmZ5eXl6U2azwOE4N2keRgMBoPBNB/OnDnD4XDo9Hf27Nlnz54xrqbZZDMzZsyYPHnyli1bRo8eDQABAQELFy40MzP7+uuv9eNaExwdHUePHj1u3DgAsLCwsLOz05cyweMDPSW8QKAvTQwGg8Fg9EKfPn02bdoklUoBQCQSWVpaMq6mQYL/5ZdfZs6cefjwYdmS+fPnv3jxYvfu3QZJ8Pb29kOGDPnoo4/0L83jAQCBr+AxjUZeXt7vv/9+9+7djIyMmpoaBweHPn36LFmyRDZwZHR09N27dwFgxYoVfD5fu1o8PDxevnw5YMCAq1evarG5ph4kEsmKFSvCwsIKCws//PBD2SjXyggKCoqJibGzsysoKNB7f2kMphVjZ2e3bNky+nNYWJhIxPzalwa36F++fDls2DCFhd27d8/JydHOYvOFxwMA3JEe00js3bvXw8Nj69atN2/eLC4urq2tzcjIOHToUK9eveLj4+l1Nm/evGbNmoMHD2qd3YuKiuhX9epPAqkmmnr49ddft2zZkp+fb2lpOXRoA5OyUxR1584dAOjVqxfO7hhMY6DBFby3t/fNmzcnTZokv/Dx48cdOnTQtysD8/+36DEYfXP16tWFCxeSJOnq6jp37lwnJ6fMzMzo6Oh79+6JRKK//vqrX79+EomEvnTWOjcDwK1bt+gP2olo4eHo0aMA4OPj8+DBAw6ngbYlPT29oqICAHr16qWFPQwG0yCajWS3ffv2H3744cmTJwBQVFR04MCBLVu2zJkzp9HsGQgeHwBfwWMahZ07d5IkyeVyb9++vXLlypkzZ65du/b69et0RiwrK1u3bh2PxxMKhQAQFhbm6upKb3jlypUxY8bY2tqamJj4+/vv2bOHoii66IcffqC72+Tn53///fe2trYJCQmyBG9tbT169Gg7OzsnJ6dly5bV1f3/PAvKNBk9UBR16NChfv362dvb83g8BweHyZMn03NVrFq1iiAIuqdPWloal8stLi5W7VlmDyd4DKaR0OAKfs6cORUVFevWrdu0aRMABAUFCQSC5cuXL168uNHsGYh/n8HjBI/RP/SbuHw+X37UZxMTk6ysLAAwNjbes2ePl5fX8+fPAeDjjz8eOHAgQmjlypUbN26UrX///v0vv/wyIyPj999/B4Dbt28DQPv27b/99ttjx46x2Wx/f/+ffvoJAIyMjIYMGVLxbkaW//3f/62rq/vrr79Ua7LZbAUPALB48eKdO3fK1s/Pzz9x4kRqaurTp085HE7Xrl0fPHgAAD179vT29ra2tv7xxx9VeKYTPIfD6d69u75jjMFgAAAAqc3bt2+lUmllZeXt27fDw8MTExPfvn0rFovLy8vVF9Ejz549u3Pnjh4FRSKRUChECFE11XXfLRYn36Eoii6SSqUSiYT+TFGUWCwmSbJ+EUJIPhoKRSq2ki8iSbKyslJZkVgsVqeoqqpKWZFEIpFKpQ0WKeyLfBEdAVlwVBQJhcK6ujrGovohZSxCykOq+kAoFFVVVSkrUjOkFRUVMof1D4RCSP/8888LFy4gJkaNGiX79XXr1m3RokV79+5NTU2ViSOEZs+eDQB8Pl8kEiGEzp07R6//zTffZGdnJycn01e9BEGUlJRIpVITExN6BWdn53nz5q1du1YsFhsbG9MLZ82a9eTJk/j4eAsLCwDgcDhCoVC1Zn0Pjx49otf//PPPnzx58uLFCz8/PwBgs9l02FevXk2v8OrVqwY9I4Q6duwIAN27d2eMEgajd4qLi1etWpWZmYn00f4gtZt0Fe2P+k16ZWWlsvbn2LFjBw8eZNxlDa7gLS0tMzIyPD09AwICAgIC6IVxcXFjx46trGxVc68RPB4A4PlmMI3Bvn37zM3NT506JRQKU1NTZV3NO3To8Pfff/ft2xcA6Iff3bp14/F4Eonk22+/BYD+/fv//vvvBEG4uLjMnj371q1bCKG0tDRzc/OamhoA6NWr15UrV4yMjADg3r179A32ESNGHDx4kO7FNnXq1J07d0ql0oyMDNWaffv2lfcAACwW6+DBgwAwefJkNpudkpJSVFQEAD4+PvTDBXp9Ozs7R0fHBj137tw5PT0d8P15DKYxaTjBHz9+/Pjx4/TnL7/80tTUVL40LS1Njy+gNxc4XGCx8HwzmMbA1tb2yJEj+/btu3//fmpqamJiYmxsbFFRUUZGxrhx4woLC6urq+nkR78CmpSURN8qv379Ooul2GnG3t5e9grcTz/9RGd3kHvCvXLlSlkfdXNzc/rD69evVWtWVlbKewCAjh075uXlRURE7NixIy0tjf73AO8yNEIoKSmJXp8giAY90/3nASd4DKYxaTjB83g8WVI3MTFRSPD9+vX77LPPGsWaYeHxcCc7jH6prKx8+PAhADg7Ozs7O/fq1atXr14LFiyQSqX+/v4PHz4sKysTiUT37t1DCAFAjx49AIBOtAAwYMAAWYaW4erqSidLFovVv39/2XI6wbNYLPpGOg0t5e7unp+fr1ozISFB3oNUKp06dWp4eDgAdOvWbebMmebm5ps3b4Z3GTonJ4fuVaem55CQEPozTvAYTOPRcIIPDg4ODg4GgMzMzB07djg5OTW+K8ND8PiAO9lh9EpycvKgQYMAYMGCBfK91YRCYVlZGQB07drV2NiYvhSGd1fPsmS8adMmxmGd6B52Xbp0kT2Jh3cJ3sjIiMvl0kuys7OjoqIAYNKkSQ1qKnjYunVreHg4i8VKTEzs2bMnANB34AGA/qqpZ9peu3btXFxclMYLg8Hohgavyd2+ffs9ye4A+Aoeo3+6dOlCf9i9e/eECRN+++23kJCQtWvX+vn5vX79GgCWLl0K75Ili8Vyc3MDgE6dOtFbrV27NjU19fnz599++62jo6OTk9Pdu3crKyvT0tLgXaKlefPmDd0nv7a2ln43/fnz56NGjZJIJE5OTitXrlStWd/DpUuXAIDL5dLvv+3evfuPP/4AAEtLSy8vL3j3AB4A6C7xqvXxEDcYTNOgVic7kUh0/vx5U1PToKAgAMjPz//666/iKRMhAAAgAElEQVRv3brVoUOHNWvW9OvXr5FNGgIuTvAYPWNtbb1q1ao1a9YghE6dOnXq1ClZEZvN/umnn2bMmAEAdLKnKKpdu3Y3b94cMWJE9+7dk5OTo6Ki6EtwAOBwONu2bfvoo4+uXLlC30uXT/CyB/AEQcyYMWPJkiVv374FABcXlzNnzpiYmKjWrO/B0dERAEQiEZ2/eTwenZg7d+5MP2Kn/xB4eHjQM22r1n/8+DHdLRffn8dgGpWGr+BLS0t79+49fvz4y5cvAwBCaMKECRcvXvzkk0/Ky8sHDRqUkpLS+D6bGoLPxyPZYfTOqlWroqKiRo4c6ebmxufz27Vr16tXr4ULFz5//lz2mtnixYu7dOnC4XA4HI6npyePx4uJiVm6dKmHhwefz3dzc/vss8/u3bu3YMECAJD1VpO92ALvbtoDQExMTO/evaVSadeuXZcuXXrv3j36kbxqzfoeNm/ePGHCBEtLy7Zt2w4fPvzBgwdt2rQBgKSkpLq6OpIkk5OT4d0D+Ab1ZfZwgsdgGhfGl+fk+e6776ysrJKTk+mv9L240NBQhJBIJOratevkyZMbFGkMGu89eISQeP9fogO78XvwjEX4PXhd3oPHYDAG4T18D77hK/jIyMivvvrK39+f/nrhwgU7O7sJEyYAAI/HmzhxIv3nvbXB4+PX5DAYDAbTcmk4wefk5HTu3Fn29fLly59++ik99gUA2Nra0o/rWhkEj4cHusFgMBhMy6XhBG9paVleXk5/Lisru3XrFv2qD01BQYGNjU1juTMgPD7uZIfBYDCYlkvDCd7f3//vv/+m55Pfv38/SZL0zBMAQFFUeHj4hx9+2LgeDQKPh2/RYzAYDKbl0vBrcj///HPv3r27dOnSpUuXyMjIESNGtG/fnqKouLi47du3P3r0aMeOHU1gtKnh8QiJxNAmMBgMBoPRkoav4Hv06JGQkPDBBx88efJk0qRJf//9NwCIxeKhQ4feuHEjLCyslb4Hz8XP4DEYDAbTclFroJuePXvKJn+k4fF4GRkZ7u7u9WeSaCXw+CCVAEKAR9rCYDAYTAtEy/TMYrE8PT0bNbu/fft24MCBPXv2nDZtGkmSjVcRMzw+IIT72WEwGAymhdJ8r78PHTo0evTo27dvs1is69evN3Ht76aEx/3sMJgWQE1NjVAoFAqFtbW1hvaCwTQX1LpFbxAGDBjg4OBAkqREIhEIBE1dPf2iP76Cx2BaAvPnz3d0dKyrq6uurt6/f7+h7WAwzYLmm+B9fX1JkuzUqZOVlZVsHL2mAyd4DKblsHLlSj6fT1GUAR7nYTDNlaa+Rb9+/fqtW7fKvr548aJ///5t2rTp06fP06dPAWDPnj3jx48/fPgwPUN2enr60KFDDxw40MQ+CR4f8C16DKaF0LFjR3d3d09PT29vb0N7wWCaC02X4JOTk3/88ceNGzfKliCERo4cGRgYmJmZGRQUNHz4cIqi5s+ff+rUqVmzZq1YseLSpUsEQfB4PPG7K+nKysp773j69OmrV6/uqaS0tFRLu3wjAIDaGl13G4PBaM706dMJgoiLi6O/bt++3cfHByEkWyE1NZXD4bx58wYA4uPjg4KC7Ozs2rVr98knnyQmJjJqxsfH9+jRQyAQeHt7HzlyhF5Y/xpD2cJp06YZyVFYWAgA3bp1I97B4XC8vb1DQkLqV71x40YrK6tLly7pJzoAAJCdnW1hYaH++pGRkWvWrNGjAZp27drRITp//vyqVatUr6yp5/oMHjxYfp5lvazZzMnOzr53715qaqp8art//77sc3l5uVQqZdy26W7RJyUllZWVyY9re/fu3by8vFWrVvF4vJUrV+7YsSMxMbFv37506fLly6dOnbp+/Xpra+tjx47RC2/duvXJJ5/Qn7t27crj8eiJqJUxcuRI2S+5Qei5eurq6gAA2BwjHk/4IlPa3gnezbkne2uAoij6J12/SCwWy0b2VX8rhSKpVCq706j+VvJFUqlUdsi1s6GwLwpFFEUp20q+iN4LoVBYv6h+1cqK9BVSWUC0Cyk935SaNmRrYrSgsrLyzJkzAwYMCAkJoQfGnjJlyrJly1JSUujpbgHgxIkTQ4cOtbOz+/vvv5csWbJq1aotW7ZQFBUVFTVkyJBdu3bNmjVLQTM4OHjVqlWzZ89OTEwcN26cu7t7nz59Ro4cOXbs2PDw8N27dw8fPjwjI4MgiPoLWSzW06dP9+7d+9FHH9GC1tbW9Idt27ZNmTIFAEpKSk6fPj179uw+ffq4u7vL1753796IiIj+/fs3duiUIZFIvv3224SEhMarYtiwYStWrPjss89cXV0brxbdqa6ulk0Q1yLan27dulVUVKjYo4kTJzo7OzOXMc4x13iMHj36jz/+oD+HhIT06tVLVjRo0KC///5b9eYVFRXJ7zh37lx4eHiySkpKStT3Jj9dLEVRor3bxfv/or/i6WLxdLF4utgm48CBAz179rx165apqWl1dTW9cMyYMf/5z3/ozxRFubu7Hz16tLCw0MzMLCIiQn7z48ePW1hYKPz24+LinJycZEcwODh43bp1t2/fbtOmjUgkQghJpVIbG5v4+HjGhRRFmZub5+TkKFjt2rWrwkydpqamsbGx8kvGjBnDYrFsbGzo5SkpKYGBgSYmJp06dYqOjkYIFRQUuLi4bNmyxdHR0dXVNTIycuHChdbW1m5ubrdu3aJFjh496uHhwePxXF1d6RqzsrLMzc3p0vqaCoSFhX3++efKVj558mSHDh3o1u/bb7+lZwCvXyNC6NKlS126dBEIBIGBgWlpaQMHDiQIwtbW9ubNmwihnTt3Llu2jPGY0sh7vnz5sq+vr4mJiZ+f39WrV5XtJkIoJCSkQ4cOlpaW8+bN69u3b3h4uLJdZlxTRgudLjYrKys5OTk+Pj4pKYnOa3fv3r19+7Ysze3cuXPfvn2MATdkgv/zzz+HDh0qKwoODt60aZP6Uo06HzxFUaIL/9T9z3eIohBO8DjB4wTfhPTv33///v0URXXo0CE0NJReGBERYWdnRx/ipKQkExOT6urqkydPenp6KmxOUZSTk1NkZKT8wsrKytzcXPpzdXW1s7NzbGws4zUG48Li4mIAmDZtmru7e//+/S9dukSXyid4oVAYHh7etm1b+d8vjYuLS0pKCm3Dzs5u+/bt5eXlYWFhRkZGGRkZBQUFBEH8+OOPdXV1S5cuBYBdu3bV1NSMHz9+0qRJCKGqqioOhxMaGvr27dtDhw4ZGRlJJBJZsmTUVDAwbty4EydOKFuZoqjRo0evXLny/v377du3Ly4uZqwxOzvbzMwsMjLyzZs3X375Zc+ePRFCdnZ26enpdC2ZmZnOzs6yn0l9ZJ5fv35tYmISEhJSUVFx+PBhU1PTwsJCxkqTk5P5fH5ERERZWdlPP/0EAOHh4Yx7wbimfO0tNMHTaDcfvCF70VtZWVVXV8u+VlZWtm3b1oB+FHFyhqtC9KaAaNfe0FYwrRqpVLT+J0ObaFzYPftwPhmpzprZ2dn379//559/CIKYOXNmSEjItGnTAGDYsGFSqTQuLi4oKOjkyZPBwcEmJiaZmZmenp4KCgRBeHl5PXv2bOTI/6/RzMzMzMwMAB48ePDZZ58NGjRowIABO3fupBfSmJubl5SUGBkZ1V+Yl5fn6uoaFBS0evXqmJiYUaNGJSUl0fNsLVy4kM7KtbW1JEnevXtXfnMFLl686OLismjRIgCYPHnysWPH4uPjhw0bBgDffPMNn88PDg4+cuTInDlzuFzuqFGjjh49CgBcLvfJkydeXl4URTk7O9fV1f37JFG5pkJYEhIS6JynbOWdO3d269bt1KlT27dvt7a2FolE9Ws8ceLEkCFD6Kj+8ssvYWFhSK5XBAC4uLgUFBS8evXKxcVF9VE+d+5cQEDA9OnTAWDmzJn79u07f/789OnT61d6/PjxSZMmjRkzBgBWr15NvwPJuBfp6en113zPMWSC9/T0TE9Pl0qlHA6Hoqi0tDQPDw/1N3/48OGBAweePXsGAObm5pcuXdLvxLWEkwsiCConm40TPKZRYbE4AwYb2kTjQjgqeUZYj5CQEKFQ2KFDBwAQiUSVlZUFBQX29vY8Hm/q1KmhoaFDhw49efLk3r17AcDFxSU3N7e+SG5urpOTk8LCmpqalStXnj59etWqVXPmzCEIgvEag8/n11/YtWvXrKwseomnp2dUVFRkZCSd4NeuXTt+/HgAqKqq2r59+4wZM9LS0pTt3atXrx48eNCuXTv6a11dXUBAAADweDz68obL5drY2HC5XPozvRqPx4uJiZk7d25dXZ2Xl5eamjLEYnFRURGd8pWt3L59+3HjxkVGRo4aNUpZjbm5uW5ubvRnS0vLhQsXKjjhcDgeHh65ubkNJvj8/HyZFAC4u7u/fv2asdKCggLZmxFsNpvu3MC4F4xrtlauXLmyZMkS+rl+//79lT2DN2SCDwgIaNeu3bZt2xYvXrx//34jIyON5q1p06aNt7c3/TM2MzMzNTXVsz9jAWFrh15lQUBvPStjMPKwWOzWnuDVBCF05MiRvXv3fvrpp/SSTz/99NixY8uWLQOAWbNm9evXb/bs2SKRiJ60OjAw8MWLF1evXv34449lIrGxsbm5uYGBgfLKJEmOGjXK1tY2LS1NdoXNeI1hZGRUf2FycnJBQYHsloCxsbEs+1pbW8u6la1evdrBwaGiosLc3JxxB+3t7fv16xcTE0N/ffPmjUAgqKlp4G2d6OjoTZs2JSYmOjs7V1ZW0pf1qjWVSSlbOT09/ezZs25ublu3bl2+fDljjfb29g8ePKA3rKmp2b59+zfffKPauTIcHBxu374t+5qdnR0YGMhYqaOj44sXL+jVKIrKzs5WthcbNmyov2ZrxcHBYdCgQXQvZgsLC2Xpz5BD1RIEERkZGRERYWtrGxoaGhUVpdHg9q6urlOmTNmzZ8+ePXt+//13Y2NjvTtkObtR2Vl6l8VgMIzcvHmzoKBg0qRJ7d4xceJE2Ytnfn5+bm5u8+bNmzJlCofDAQBnZ+cNGzYEBwfv3Lnz+fPnz54927Zt24QJEzZt2uTg4CCvfPHixSdPnqxbt660tDQ7Ozs7O7uiokJ2jSGRSPbs2UNfYzAupChq/Pjx586dq6qq+ueff2JjY0ePHl3fv42NDUEQOTk5ynYwKCjo/v37x48fr66ujomJ8fT0VLGyjPz8fC6XSxDE06dP6ZxK9wlQU5PH49na2mZmZipbmSTJzz//fP369QcPHtywYcPLly8Zaxw3blxUVFRUVFRpaenq1avDwsJ4PB4AVFVV0RVJpdIXL17QF11nzpxRcSeDHob82LFjVVVVhw8fvn///ogRIxgrnTx58okTJyIjIysqKtavX0+/GMm4F4xrtla8vb137txJp79u3brJ3ulQhPHJfIugsTvZicViyZ3Euu+XUNXVuJMd7mSHO9k1AfPmzaO7cMvIyMgAgIcPH9Jff/vtNwC4d++e/DrR0dEDBgxo27atjY3NoEGDFDqx09R/RXvjxo20fmBgoIWFRe/evWWdxRgXHjhwwM3NzcjIyNfXl7GTHY2Xl9fq1asVapd1skMIJSYm9ujRw9jY2Nvbm+74VlBQwOfz6dJbt255e3vTn8PCwoKCghBCVVVVI0eOpN/gP3DgwNSpUwMDA+V7pNfXVEDWyY5x5d9++61fv370mb9q1aohQ4ZUVlbWrxEhFBER0bFjR4FA0Ldv3ydPniCEFi1aZGZmduPGDYRQZmam7FUFBweH3377TcGGQi/6bt26CQQCX1/fK1euKNtNhFBoaKinp6eFhcXcuXNnzJhBd51j3GXGNWW8h53sCPTfvSRaEM+fPy8vL5e9lqo79DE2MjKCd28usstKJf/7C3f2POTVESFEXzT8W8Rm0/cb6ONBFwGA/N05hSKJRKJsK/kiiqJqampkdxEVikiSlN0bVFFUXV0tEAgYi6RSKUEQbDZbdZHCvsgX0RHgcDj0+5oqiurq6giC4PP59YvkI6CiSEVIVR8IhWgLhULZXSyFIoqi1AlpZWWlmZkZ7bD+gWCxWPIh3bVrl5eXl2zMBgzGsISFhcXFxTV2v7Pdu3e/fv16/fr1AJCampqenk6PENBMKCkp2bFjx4wZMzw8PHRvf0DtJl1F+6N+k15VVWVqasrY/oSFhYlEotmzZ9ff5eY7m1yDpKSkfPfdd1ZWVlZWVg4ODgUFBXqvgrCxBWMB9Spb78oYDAbTZIwbNy4+Pr6oqKjxqqAoKiQkZPny5fTXhIQEWUcKjN6JjIxs27Ytnf6ioqLoG131ab6TzTRIu3bthgwZQp9DAoFA6UMIXSAIlrMrys4i9C+NwWAwTQSPx/vtt9927drV4GiyWnPhwoWxY8fKRqJdvHhxI1WEAQB/f//vv/+evgEvEomUdepswQne3t5+yJAherxFzwjLxVV67TKLooDAWR6DwbRURo8ezdgxUF8MHz58+PDhjaePkcfBweG7776jP9O36BlXa8G36JsGwsUdxGIozDe0EQwGg8FgNAAn+AZgObkAi0Xl4JflMBgMBtOSaMG36IuLi+/evZuamgoAJiYmkydPlnX/1id8PmFnj17lED0DG14Zg8FgMJhGpri4ODo6mp61srS0VNnoyC04wWdnZ4eFhdHTxRobG/fv39/R0bExKmK5uFHP0xtDGYPBYDAYTbl27dq8efPoTnYTJ06UH/dXnhZ8i75Hjx47duygX+evra1tpOwOAISLGyorRVWVjaSPaW1QFCjp84LBYDC6M2HCBNm4N2PGjPnggw8YV2vBV/BNBsvFFQDgVQ5YWhnYCqaZIxFTtxOphKtI1FLHj8JgMK0GnOAbhrCyJkzN0Kss6OpraC+Y5opYRN69RcZfQTXV0KkLUVxhaEMYDOZ9Byd4NSAIcHKB3IbnhMC8j0jE6PoV8uZ1JBSyu/oTAwZTba1h1y5D28JgMO87OMGrBeHkQl2NBYoCTea7w7RyKIpMuk1evoCqq1i+PbiDhhJtbSiKApI0tDMMBoNpyZ3skpKSFi1aRBAEQRCmpqZ5eXmNVxfh6AwSMSrU/3D3mBYKynwu/nOz9Mxxwq4d66tlrHGTibY2hjaFwWDeC06fPs1ms+n0d/bs2WfPnjGu1oITvPx88Dt37mzXrl3j1UU4OgFBUPguPQYAlRRJ9+1Ah/YQAgH3q2XcuV+BXSOee+8V1dXVBEEEBATILywsLGSz2YMHD1ZTZPDgwadOnbpx4wZBEIWFhQCwceNGS0vL6OjoESNGME66pUxEYWG7du2ePn2qbJOzZ88OGDBAYWF2drZseHZ1iIyMXLNmjaZbaQejYf3CGEZGNm7caGVldenSJYXl586d8/HxEQgE/v7+169fB4CqqqrJkyfb29sPHz5cNsfY+vXrQ0ND6c/nz59vvCH3mwl9+/bdvXu3bD54BwcHxtVa8C16GxubPn36NPZY9P9iZAxtbVBuDgT0borqMM0TqZS8Hie9GkuYmrKmf879sJuhDbVO0tLSMjMzPT096a8nT54UCASainh7e4eFhdGTcOzdu/fs2bP9+/c3NTWlJy9unkgkkm+//TYhIaG2ttbQXpqavXv3RkRE9O/fX35hfn7+tGnTwsLCevfu/eeffwYHB+fl5W3ZssXOzi4jI2Pbtm3/8z//s2/fvoKCgri4uLi4OHqrYcOGrVix4rPPPnN1dTXAnjQJtra2X3zxBf0Zj0WvB1hOLtRrfAX//kK8ypL8uVkad5HdK5Dznx/gg06GdtRqGTt2bFhYmOxrWFjYmDFjZF/j4uL8/PxMTU39/f2vXbtGLwwNDfXy8rKyspo/f75YLAYAkUg0d+5cY2PjsWPHvnr1asKECZcvXz558mRsbCwApKam9u3b19TUtHPnzhcuXFAmIs+gQYOKior69+9/69YtADh27Jinpyefz3dzczt06BC9DkmS//nPf6ytrT08PPbu3augwFipPKdPnw4MDLS1tZVfWH9/AwIC6Brv3LlDEMTp06cB4PLlyzY2NhRF1a/l9evXrq6uR48etbW1ff36tbw4o+H6NT5+/Fh+oBFHR8fHjx/TsidOnPDx8TE3N5dNbqY6jIz68sdIfs2bN296e3uPHDmybdu2P/zwQ0VFxatXr2SlLBaLrvHnn39eu3Yt610HKRaLtXDhwh07dtSv+n0DJ3i1cXJGbwqB6XzFtHrIm/G8oweBz+ctWsYZMRZ4zfcqsBUwderUo0eP0m13dnb269ev+/btSxfl5eWNHj36m2++yc/P//rrr0eOHPnmzZt79+7NnTt38+bNL168sLW1TUhIkFeLiIhwcnKKiYmR3eSvqqr65JNPJk2alJeX99NPPwUHB2dmZqoWAYC4uDhbW9vr16/36tWrurp61qxZa9asefPmzerVqxcsWCCVSgHgxo0bpqamWVlZ27dvX7p0aWJiomxzxkoVqjh16lRQUJD8Esb9HTp06NWrV+nqzMzM4uPjASA+Pj4oKKimpoaxluLi4vDw8PDwcDs7O3n9+oYZa1R2pAoLC69du3b//v1z585t3rz56dOnDYaRUb/+MaIZM2YM/XeqsLDw1KlTNjY27u7uy5YtKyws7NChQ3x8/Lp16x48eFBZWSk7Q2iGDh0aHh5On0LvMy34Fn0TQzg4AUVRea8IVw9De8E0IRQlPR9BJl4n/T4yHj+FaIT5DkQUZX8zSe+yzYov27f7xd1FzZX9/f0pikpJSfHz8zt+/PjEiRNlF2fnzp0LCAiYPn06AMycOXPfvn3nz59/+vTppEmT6Kv81atX79+/X7X+xYsXXVxcFi1aBACTJ08+duxYfHx8enq6+iJcLvfJkydeXl4URTk7O9fV1dXV1QGAnZ3dqlWrOBzOsGHDpk+ffvr06SVLlqioVPYYgiYhIeGnn36SX8K4v0FBQdOmTUMI3bhxY9GiRdHR0QBw/fr1L774grGWoUOH1tbW7t69u35HpfqGPT0969eo0CtChkgkWrdunZGR0YABA7y9vUtLS8+dO6c6jIx7NGfOHEZ9DocDAGlpaR9++CFFUadPn+ZwOGZmZidOnKBXQAjNmTNn+/bt+/fv37Bhg4ODw4EDB7y8vFxcXAoKCl69euXiou5Z1yrBCV5t7B2Aw0G5OMG/T4hFkvBj1LM0zqejRH4fNdJLkmyCmNe+lXfT62XOPBkGIwRBTJ069dixY35+fmFhYX///Tc9pxQA5Ofnyw+77e7u/vr164KCAm9vb3oJm812d3dXrf/q1asHDx7Isl1dXV1AQIBGIjweLyYmZu7cuXV1dV5eXrLlrq6udE4CAE9Pz5SUFNWVymuKxeKioiKFlM+4vzNnziwvL3/58uWtW7f27NmzdevWwsLCpKSk8PDwkJAQxlqMjIwYuyHXNywQCOrXqGCVnuMEAAQCgbW1Nf2Z1mkwjIx7VN+YPD4+PrW1tQkJCVOmTHF1dfXz85MVRUVF+fj4UBT166+/xsXFXb16dd68edeuXeNwOB4eHrm5uTjBt1TkZ5OTx8HBYfjw4fqvj80m7B2o3Bz8VOM9AVWUU4f2QlkJd8Ycls+HUNlYkxFwCOJXta9u3xOmTJkyaNCg2bNn19bW+vv7y37mDg4Ot2/flq2WnZ0dGBgoFApfvHhBL6EoKjs7W7W4vb19v379YmJi6K9v3rwRCAQbNmxQXyQ6OnrTpk2JiYnOzs6VlZVHjx6V+ZFKpXSqe/bsmXx2Yay0wTgw7i+Xyx00aNDevXvt7e1tbW0DAgL++OMPHx8fW1tbxloqKiqUzbRZ3zBjjQBAP4MAgLq6uuLiYvozQRAKgo6OjqrDqEyfkUOHDpWXly9dupTP5w8ePNjX1/fOnTuyBC+RSH799dd//vknNjZ24MCB7u7uzs7O33//vTK1lo5YLA4LCxOLxQghiqJkx7S0tNTU1JR5G9RiCQ0N7dGjR/098vHx0U5QJBIJhUL6M0VRYrFYNpq/VCqVSCSSs+GijavoIpIk5YtkIuXl5bLPCkUqtpIvIkmysrJSWRF9dBssqqqqUlYkkUikUmmDRQr7Il+kEBwVRUKhsK6ujrFIPgIqipDykKo+EApFVVVVyooYQ0oV5Is2/Fy3biX1+hVdVFFRIXNY/0AohPTPP/+8cOECwmhIVVUVABQXFyOE/P39+/Xr9/PPPyOE9u3bN2jQIIRQXl6eiYnJ0aNHKysrDx06ZGpqmp+fn5KSYmRkdO7cufLy8jVr1rDZ7PDw8NzcXBMTE1rWxcUlJSUFIfTVV1+tW7eupKSkbdu2YWFhVVVVly5dMjU1ffToEaOIgj07O7u7d+8ihPbu3evm5vbq1av09HT69vLLly8jIiJYLNaPP/749u3bc+fOGRsbP3r0KCsry9zcHCHEWKmCvq2tLe1TthXj/iKEdu/ebWJismjRIoTQqlWrTExMVq5cqawW+VDIw2iYsUb6IjsyMlIkEn377bc8Hq++bKdOnRISEhoMo7I9kh0jeS5dumRjY3P37t3a2tqLFy+ampqmpqbKSrdv3759+3aEUFpaGn29Hhoa2qtXL4SQRCLhcrnZ2dnyasXFxatWrcrMzET6aH+Q2k26ivZH/Sa9srIyIyPD2Ni4fsqbOHHiDz/8gJhowQn+2bNnd+7c0aNggwlemnyn7rvFZGUFTvCtO8GTOVmi1T+Ifl8vLnojK8IJvgmQT/BbtmwBgLS0NCSX4BFCly9f7tatm0Ag8PX1vXLlCr0wNDTU09PTwsJi7ty5M2bMUJ3gEUKJiYk9evQwNjb29vY+ceKEMhEFe4sWLTIzM7tx40ZVVdXIkSMFAoG3t/eBAwemTp0aGBgYERERHBw8f/58KysrLy+vkydPIrlUraxSecaNG0cvl9+KcX+zsrIAgF6Z7nCXkJCgrBYVCb6+YWU1rl271sLCwtXV9c8///T391eW4NUJI6M+Y4JHCKzSALkAACAASURBVP3+++/Ozs58Pr9z584yhwiht2/f9unTR/Yz3Lp1q42NTZcuXei/TZmZmU5OTrIfLE1LT/DK2p9jx44dPHiwfugQQgRqsf0Mnz9/Xl5ersf34OljbGRkBAD0UeFwOPQ9KDro7Lel4t83cGZ9QXX4gM1m0x1/6CLZc6yKigr61dv6RRKJRNlW8kUURdXU1JiZmTEWkSTJ5XIbLKqurhYIBIxFUqmUIAj69o6KIoV9kS9SCI6Korq6OoIg6DePGUNKR0BFkYqQ0lupE1KSJIVCoewulkIRRVHyIWU9S5MeP8Kyb8+a+QVlZCwrqqysNDMzox3WPxAsFks+pLt27fLy8vrkk0/UOO8wmH8JCwuLi4trsJMgpkF27979+vXr9evXyy8sKSnZsWPHjBkzPDw8dG9/QO0mXUX7o36TXlVVZWpqytj+0O/BM47ghB8oawBhbQtGxigv19BGMI0FupMoPXqQ1eED7rzFhImSx1oYTOMwbty4+Pj4oqIiQxtp2VAUFRISsnz5ckMbMTw4wWsCQbCcnBEesLZVgpD00nn0zxmWfwB3xhzg8gxtCPPewePxfvvtt114KkLduHDhwtixY5tgrN/mTwvuRW8QCCcX8vYNVot9roFhhqKkESfJuzeJfgPZn47CcwZiDMXo0aNHjx5taBctm+HDhzfKi1QtEJzgNYPl6EzW1sLbUrCxa3htTItALJacDKGeP+UET6L8mmRqAwwGg2l8cILXDMLJBQDgdS5O8K0DVFVJHdkPxW+4s75gfdCJkkgM7QiDwWD0QwtO8DU1Na9evaK7LpubmyuMANVIEG3MCXML9PoV+HZvguowjQr1IoMKO0xQFHfe4n//umEwGEyzhyTJtLQ0evSh8vJyHo+5z1ALTvBpaWl//vlnUlISABAEkZWV1TSjEhJOLuj1q4bXwzRnECKvXZZeOg/tHVmTZhC2+H4MBoNpMYSGhsqmi504caKzszPjai04wXt7ey9evNje3h4AzMzMmmzMYcLRibqcBiSJu2K1UFB1lfR0GMp8zu7dj/hkJFVvuE0MBoNpzkyaNIl+mx8A0tLS6OFb6tOCE3ybNm28vb31ONCNmhBOLiCVoMJ8aPk3dalXOSj5NmlrR7R3ZDk4tv53w4RC8mY83LgGBMH97EuWd0eSJOHdzBkYDAbTIjAyMvr444/pz8XFxSKRiHG1FpzgDQXLyRU4XPT8actO8AiRN66RFyIJgYn0/l0gSQAASyuW30fsQUHQCJOiGpjqKmn8FfLODZBIiK7+7KDhLAtLQ3vCYDCYRgQneM3h8cDTi3qcCoOCDG1FW2prJWeOU2mPWD0D4ZORPB4PvSmg8l6TLzOpqzHiZ2ncVvRYGhXkUYnx3JRkkiDYH/Vi9xsoNTFtjGndMRgMplmBE7w2EB92Q+FHUUkRYW1raC8ag3JzqBMhSCjkTvsMOnclSRLYbKK9I7u9I/LtDj16UuFHxds2cz4dDZ26GNqsDpAkSnskuZVAZb0gTM3IXn2NPx787+izTfIuXHp6Oh5zFINpPkjev5dgcYLXBsLbB3G41MNU9sChhvaiGajoDXVwN7S14X2xiGhrTdV7/Ey4uPGW/iD954w08hTvUSqaNpswa2MQq7pAPUujTh+nKsoJJxfOpBnQqYtYImnKseX9/f3z8/MBgJ7MSTZtNj2LJf1Zvoie+on1rtumwlYURcmKSJIkCEL2Vb5IxVZq2mhQkCAI2XQXCCHZvETyRSq2Um1DPgIKWykrUhBRsZWKaNNTFml6IPQVUvn9UgipOgdCIxtqhlQ2Q7z6W2kXUtXR1ktIAUD2lc/nf/jhh+3atYP3BpzgtcLIiPD6gHyY0sISvEgkObIfTNtw5n5FmJgoXY3P54yfwvLpLAk/Jtm6iTNxGsvbpwld6kZdnfR8BJl0i3DzZE/7jO3iBgAkSTbNVbuMPn360B/UnKBPxbR+ClNdCYVCNptNv/aq/rR+9Puyak7Qp2LGP9lUVxKJRCKRCAQCWkT9abWUzdOl/rRa8kUKIvWn9VNnEsWamho+n0+7oovUDKkWUy+qiDY9VSg94bf6B0Lrqc8UJlGUFSGEqqurdZ/N0tjYWNMDoffZLOmuZ4yzWb4n4Be9tITdpRsqyEPFbwxtRG0QkoQfRRXl7OmfgZJ3KuRh+XxY98UiwsFRcnCPNPL0v73wmjco85n4j41kajLn01HE51/isWswGMz7TAu+gqdv79S/yaw19C0yWpC+7UNXIfsqXwTenYDDJR+mQv9BsiK6VP6zfJF8qYoieRvqb6VQVN+G9Ppl6lEqZ8osZNtOHUEAQAIT9qx5xLXL5OULkP2SPWk6JTdAL32DTpkN+fuHyorU2UpFSGWHhqIoQIi88A+6cZXl4saes5CwtgGSbIyQMjpUU1Dhs/pbKQSHoihlRSqirSKk6p/2jX2WNk1IGW0wxk3FgVBhQ7vTXqP2p/FCWr9dbW4/FoUDoeZp3+CBYIy2XkLaBO2PMlpwgod3d3j0qIYQkhdUEJf/SnG50MGbfJjC6jdQvkhBQXGr/z4kjEX1baizlUIRHRn0btY79CKDuhRF9OlPdeoCCCmIKDOMECIpCvoNJFzd0clQctvvVL+BRL+B8O5mpjr7okUEGGyoDilJoogT6MF9YuBQGDCEIgj6foO8DYVTRWsb8vf35LdS88xRvS/qnDmqQ6rmmaMXG/oKqaZbgcpdVv8nLP9j0fu+aPETrm9Di+DoHlI6z+ne/qjYCtQ739TfF2WG6YVq7ovuNpQVNUH7o4wWnOBra2vz8vLoh5FGRkadOnXSUZD+i0Q/EEJqPANjd/OThB0hSkvA2kb2oIvFYskeKan/MFLhaZZYLNb0YaRCEZvN5nK5/9ZVVkqeDGW5unNHjAUWS/1nYP+/Lx4dpEu+Q3EXqWux8CiFPWYC5eKuzjMw+oxUM6SMRSpC+u+BIEny2EGU8YwVPJnw66Es2nRAGIsoJQ8jFYJD25BdbCkcCHUe/Srsi3bP4OlzjzGk6j+DVx1SdR790kuUhVTN017ehvrntsIzeHkR7Z7Bi8ViDoej4zN4ZUdW/dOebsHVb38aDKnWz+BFIpHu7Q+Hw9HxGbyaIVVRRCfLRmp/VJ/barY/6odUof0RCoXPnj2jL+HKy8tl9SrQghO8/Fj0AJCTk6NsPN5GgtXxQ+Bw0aNU4uMhTVmvZkgkZOgBxGZxp32m09i6fD5r+BhO9wDJmRPSfX8RXf1hzHgQKO+p1ySgmhpp6N+osIA76wvU4QPZHQsMBoNpxYSFhbXyseh9fHy+++47Nzc3ADAxMWni7A4AwOezPuhIPU5lN+MELzkVht4UsuYuJEzNdFcj2jvyvvpGeiuBvPiPZFsWZ8osloub7rLagYqL0OG9RG0td94ilrOrOjesMBgMphUwdepUf39/+hbF3bt3ZRf6CrTgBE8ndX9/fwN6YH/oS4UdhpJiaGdvQBvKIK/HUanJ7AnTkKP+/v0QBLtXX+TRAZ0Ilez+kxM0HPoMgCZ/84RKeyQ5EQICE/b8JaxmGXwMBoNpJLhcrq+vL/35+fPnysaix6/J6QSrY2fgctGjVEMbYQBlPJVe/IcdOIDl10P/6lbW3AVL2b37SS+epw7tRdVV+q9CGQhJY6IkR/azXN1ZC5a2miF1MRgMRr/gBK8bfD7h9QGVkgxqvLHQlBBlpdKwIyx3T87wMY1VB4fDGRnMnfUF5L+mtv1GPX/aWBXJU1tLHdlPXolhDwzizJoHxoKmqBSDwWBaIDjB6wqr70AoKyGTbhvaiBwkyQ4/Shgbc3TsWKcGrI6diUXLwcZOcmCXNPpcI46HQ5LkrQTyj43oVRZ35lzO0GFN/1wAg8FgWhAt+Bl8M4FwdiU6dyVjo9m+/sDjG9oOAACZcJUofsNesJRokl7uhLk5a84CiL8ivXyBepFBTJwO+r5tTj15KL0QiUqKiS5+rCGfsmxa3hw/GAwG08TgBK8HWEOHkVs3Sa9f4Qz51NBeAJW/lcZdpPw+atKBWlks9qAgwqOD9PgRasfvUm8f1gedWB/4AIepbydJojohqq4GUR1is5FEgsRiRJIUPTsFhw0cLqqtJauroKIcVVbwcrIk+a9Zbh7cyTMpewf8LhwGg8GoA07w+sDKmt2rLxkfx+7Zx9BWQPrPGYLLowwxCw7L1Z275DtJfBx6miYNPwoEAe0doa2NRFwHQiES1oJQKK6rA4lYton8DX3pf6tRAMDjERaWYNaGO+sLls+HANAihsTHYDCY5gBO8PqBPTCIvHeHjImGwYa8iKeepVGPH3AmTBMbGRvGgbExMegTTtAIqCinnj6Rpj+BsmIwMQULS5a9A8XjswUCQmBCGBlRfD7icDn03FkcLkkQbDabEIkAURRFITabY9UWjIwBoKKiwvjdpFIYDAaDUROc4PUDYWLC+XiI9OJ5Vld/MFQ2kkqlkWdYru5s/4+gpsYwHt5BWFiyewZKunUnCIL7brpGJJWyZQNzkiQgRNAjLCIEUikhm8mRJAEhUDL4IgaDwWDUAfei1xvsPv0JcwvO1UuGMoDir6CyEs7oCbh7OQaDwWBwgtcfHC47aDgr87k0OhJqa5u4clRaguKvsHv3I9o7NHHVGAwGg2mG4Lug+oTdrXtddhYkXifv3GAHDiB69QMjo6apmoyJIoyNOUOGNU11GAwGg2nm4ASvVwhCOjBIMCiIvBJDXrsMifGEXw/Svj1hbUNY20KjdXxDhfnoUSoxbHST/Z/AYDAYTDMHJ3j9Q7Qx54yZwB4wWBp3CT1KlSZe/7fAyIgYMZbVo5fea5TGRhPmFkSPnnpXxmAwGEwLpQUn+OLi4rt376ampgKAmZnZpEmTWI08LKtGEBaWrDETEBrPIUlUUoRKiiUP7pOnjxNAsPWaiVFeLvXkEXvMRMQ4qgwGg8FgWhelpaVRUVH0HNmlpaVt2rRhXK0FJ/js7OywsLCkpCQA4PP5ffv2dXR0NLQpJvh8wsGJcHBidewMESekp8OAlIL+ruOll6IIC0uW/0d4CBgMBoN5H4iLi5s7dy79eeLEia6uroyrteAE7+vru3nz5q5duwKAsbGxUfN//EwQ7PFTCYKQng1nURTxUW/dJamcLOpZGmfidGCz8ShvGAwG8z4wceLEUaNGSaVSAPjnn38oJdOZtuAEz+FwBAKBpaWloY1oAkFwJkwDBGTkaRabAwG65ngqJpqwsWP7dm9es9ViMBgMpjExMzOjP3C5XJFIxLhOC07wLRWC4EychgigIk6QdbXs/oO1VkIvM9HLDO7U2cBiNbcJ6TEYDAZjWHCCNwQEwQqejPhG0uhIVFHBGRmsjQhJopgool17VhdfffvDYDAYTIsHJ3gDQRCs4WMISytp9DlUVQnBk4HN1mBzkpSEHoCCPPbnC/DAtBgMBoOpD07whoTdbyCYtZGGHyWqq9CUWdBGvVlqKEoSdph6lsaaPJNw92xkjxgMBoNpkTSjF8ffT9i+3bmfzUf5r6Wb1kjDj6KCvAY2oCjJiRDqyUPu5JnQsXOTeMRgMBhMywNfwRseVocPiKU/sO7doW4nksl3CHdPdlc/5OlFWFmDwtA9JInOnEAPUzgTp7O6+JISiYEsYzAYDKa5gxN8s4AwNWMNDOIMGEI+uE/euMaOOCkGAA6HsG2HbGyRVEJUVaLyclRVCQCc8VPZvt0NbRmDwWAwzRqc4JsTHA7b/yPCt3tNQb5JdSUqLEBvCqiiNwSHQ7S1Jdw7gJk51d6BjZ+7YzAYDKYhcIJvlrQxZzk4grcPAEgkEjabTQ+zT1EUwsPVYTAYDEYNcCc7DAaDwWBaITjBYzAYDAbTCsEJHoPBYDCYVghO8BgMBoPBtEJwgsdgMBgMphWCEzwGg8FgMK0QnOAxGAwGg2mF4ASPwWAwGEwrBCd4DAaDwWBaITjBYzAYDAbTCsEJHoPBYDCYVghO8BgMBoPBtEJwgsdgMBgMphWCEzwGg8FgMK0QnOAxGAwGg2mFtOz54HNzc9lstr7UpFIpQojL5QIAQoiiKBaLRRAEAFAUBQD0pOwqigBAKBQaGxvTnxWKSJJUtpV8EUJIJBIZGRkxFlEUJdtlFUUikYjH4zEW1d8XxiIV+6J+cCQSCUEQHA6nMUKqeiuFaEskEj6fz1iEEFInpHV1dXw+X9mBIAhC95CqOEYGD6lCEUmSJEnyeDzGkKo4EMpsqH9uyxcpiKh5IOr/WLhcrqYR0HtIm7j9UXHa66X9UQipQdofqVQKAI30Y6kfUhVFytof9UOqov2pqKiQHS8FWnCCz87OfvTo0aNHj/QleP36dZFINHToUK0VRCLRyZMn+/bt6+rqqrXIw4cP09PTJ02apLUCAJw6dcrT07Nbt25aK+Tm5l67dm3cuHECgUBrkcuXL7PZ7I8//lhrhaqqqrNnzw4aNKh9+/Zai9y7dy8nJyc4OFhrBQAICwvr0qVLp06dtFZ4+fJlYmLi5MmT6UZcOy5cuGBmZhYYGKi1QllZWVRU1CeffGJjY6O1yO3bt0tKSkaMGKG1AkIoNDQ0ICDAy8tLa5Fnz57dvXt3xowZWisAQGRkpJ2dXUBAgNYKb968iYmJGTlypIWFhdYiCQkJtbW1QUFBWiuIxeITJ04EBga6ublpLfL48ePHjx9PnjxZawUAOH36tJubm5+fn9YKr1+/vnr1anBwsImJidYiV65cAYCBAwdqrVBTU3PmzJmPP/7Y0dFRa5GUlJSXL1+OGzdOawUAOH78eKdOnT788EPGUktLS+bNUIuluLg4tiHu3bunvuD48eMHDBigi6WioiL6SOgismbNGisrK10UEEL29vYrV67URSEiIgIAcnNzdREZOnToqFGjdFHIzMwEgOjoaF1Eli9f7urqqosCQsjExOTXX3/VReHw4cMAUFFRoYtIz549p0+frovC/fv3AeDGjRu6iMybN69Lly66KNBXVzt37tRFZPv27bo3Yp06dVqwYIEuCteuXQOAhw8f6iIyefLkwMBAXRTKysoAIDQ0VBeRDRs2tGnTRhcFhJCTk9P333+vi0JkZCQAZGdn6yIybNiwYcOG6aKQnZ0NAJGRkbqI/PDDD46OjlpvPnLkSH9/fzab3b59e38l/PLLL4zbtuAreGtr68GDBxvaBQaDwWAwjQX9X8fCwmLhwoUrV67UaFvcyQ6DwWAwmNaI1vcNWh8PHjxITk7WRUEkEsXGxhYWFuoi8vLly2vXrumigBCKj4/PzMzURaGoqCg2Nraurk4Xkfv376empuqiUFtbGxsbW1JSoovI8+fPExISdFFACF25ciUrK0sXhfz8/NjYWIlEoovI3bt3Hz16pItCZWVlbGzs27dvdRFJS0u7deuWLgoURcXGxur4DOjVq1exsbG6KCCEbt68mZ6erotCWVlZbGxsVVWVLiIPHz5MSkrSRUEsFsfGxhYUFOgikpWVdfXqVV0UEEIJCQkZGRm6KNBPYIVCoS4iKSkpKSkpuigIhcLY2Nji4mJdRDIyMuLj43VRQAhdvXr15cuXmm5FIIQM/R8Dg8FgMBiMnsG36DEYDAaDaYXgBP8vL1686N+/f5s2bfr06fP06VMtFKZNm2YkR2FhoUabr1+/fuvWrTr6URDRyFJ8fHyPHj0EAoG3t/eRI0e0s8Eoomlkzp075+PjIxAI/P39r1+/roUTRgXtDpBQKPTx8Tl79qwWNhgVNLXBuL6mNhhFNHJSUVExZcqUtm3burq6hoSEaBcNRhH1bezbt8/ov6FfkNPIhjIRjaJx/Pjxjh07GhkZeXt70y9HaBENRhFNT48TJ0507tzZ1NS0V69eKSkpWjhhVFDfhjoNV4N+1BFp0JKCiPrKGiloakOLdlUdBXUPkI4PBloHFEV17Njxxx9/fPPmzZo1a9zd3UmS1FTEz8/v8OHD6e9Q/1FrUlLSihUrBALBH3/8obWf+iIaWaqoqGjbtu22bdsqKysvXLggEAgSEhI0tcEoomlk8vLyTExMIiMjS0pKfv75ZysrK6FQqJETRgVNbchYvHgxAERERCBtzxN5BS1s1F9fCxuMlWrkZNiwYQsWLCgoKIiIiODxeM+fP9fCRn0RjWyUlZXJVktLS+vWrVt0dLSmNhhFNLJRUFDAYrEOHz5cVFR0/PhxgiBevHihqQ1GEY1sIITu3Lljbm4eHh5eWFi4Z88ee3t7TX8sjApq2lCz4VLtR/3WT4UlxtZPo3ZVTQVNbWjarqqpoOYBQgjhBI8QQrdv327Tpo1IJEIISaVSGxsbTftEUBRlbm6ek5OjRe07d+6cP3++i4uL7KBq4ae+iEaW4uLinJyc6PGtEELBwcHr1q3T1AajiKaRCQ8P9/Pzoz/X1NSw2exnz55p5IRRQbsDdOnSJV9f344dO9LpWYvjoqCgqQ3G9TW1wSiikZPMzExLS8va2lr669OnT8vKyjS1wSii9Q/n2LFjS5cuRbr9eGUiGtkoLy83MzM7c+ZMbW3t+fPnBQJBUVGRpjYYRTSNxq+//io/zkRAQMCZM2c0csKooKYNNRsu1X7UFFFtqb6I+soaKWhqQ9N2VU0F9c8TfIseACAjI6NTp070uJtsNrtLly4ZGRkaKZSWllZUVPz4448eHh4DBgyIiYlRf9sFCxbs3r1bftQ5LfzUF9HIUo8ePW7evEmPg1hTU5OcnNyzZ09NbTCKaBqZMWPG3Lp1CwAKCwtPnTplY2Pj7u6ukRNGBS0OUGlp6YIFC0JCQmQDsmoakPoKmtpgXF8LG/VFNHKSmprq7e29YcMGHx+fPn360KlaUxuMItr9cMrLy3/99de1a9dqEQ1GEY1smJubHz16lB5kbcSIEUeOHLGxsdHUBqOIptHo2LHjnTt37t+/L5VKY2NjHz9+nJ2drZETRgU1bajZcKn2o6aIakv1RdRX1khBUxuatqtqKqh/nuAEDwBQVlZmZmYm+2publ5SUqKRQl5enqura1BQ0KVLlyZOnDhq1ChdxtDV3Y+mlszMzOixGB88eNC3b99BgwYNGDBAUxuMIppGhsPh8Hi8tLQ0BweHWbNm/fXXXxwORyMnjAqa2kAIzZ8/f/HixfJj02pkg1FBUxuM62t6XBhFNHJSUFBw+/ZtgiDOnTv31VdfjR8/XgsbjCLa/XB+/PHHefPm0bVr/WORF9HIRk5Ozty5cyMjI+vq6qKjoxcuXPjixQtNbTCKaBqNkSNHfv7554GBgWZmZps3b+7atWttba1GThgVtG7NGKvWNDKM6+ulgW36dl73dlXHRrUFj2SnR6ysrKqrq2VfKysr27Ztq5FC165ds7Ky6M+enp5RUVGRkZHKxg1uAj9aWKqpqVm5cuXp06dXrVo1Z84cgiC0sFFfRLvI+Pj41NbWJiQkTJkyxdXVVQsnCgp+fn4a2QgJCXn79u2SJUvkF2pkg1FB02gwru/i4qJRNBhFVq5cqb4TY2NjDw+PtWvXEgTRoUOHEydOaGGDUUQjGzTl5eXh4eG//fYb/VW7H4uCiEbH5fz58927dx85ciQAfPrpp3369Dl37pytra1GNhhFvvnmG42iQRDEL7/8sm7durq6OhMTk549e7Zv357L5arvhFFB69aM8Vjw+XyNIsMoopcG1iDtvO7tqi6NKr6CBwDw9PRMT0+nB8emKCotLc3Dw0MjheTk5H/++Uf21djYWJcJRXT3o6klkiRHjRr15s2btLS0uXPn0neENLXBKKJpZA4dOkT3IOXz+YMHD/b19b1z545GThgVNLURExNz584dW1tba2vrR48ezZgx44svvtDIBqOCpjYY19f0uDCKaOSEHslf9pXNZnM4HE1tMIpo8cM5e/bs6NGjZXOQaPdjURDRyIZUKiVJUvaVJEmpVKqpDUYRTaPx9OnTL7/8kiAIExOTysrK+/fv+/r6auSEUUHr1oyxak0jw7i+XhrYpm/ndW9XdW1UG3xK/z5Ad2vcsmWLWCzeuXOnFr3o79y5w+Pxzp49W1lZGRkZ2aZNm6dPn2qkMHr0aIXenlr4kRfRyNL58+ft7OwyMjKy3lFeXq6pDUYRTSNz6dIlGxubu3fv1tbWXrx40dTUNDU1VSMnjAqa2igtLc19R8eOHfft21dSUqKRDUYFTW0wrv9/7d0/SBt9HMfxXBVNL14Rg+JisVIQJBjERYIBUbBgbYVQxP/SoYs4igQE/w1aSWkXF6HpppcmUVApxUJbHSqoo/8GJR1KFQRBUVxCtEPaaO85TX6B5nme6/s1JT8uXz7JJfcxCV5E94vuEKEk4XC4oKBgbGzs+Ph4bm5OluXNzU3RGLpDknjhPHjwIBgMxq4m92LRDBGKsbu7a7FY/H7/ycnJ9PS0LMtbW1uiMXSHiD4aJycnVqvV4/Hs7+93dHQ4nU7RB0R3glCMuAeuRPLEHZJIpKtDEp8sNEE0RnLH1bgTEt9BFPxPOzs7lZWV2dnZDodjO6nzVr558+bevXtms7msrGxhYUH05prnVnJ5NEMSjzQwMKD5y290dFQ0xnVDRB+ZFy9e3L17NzMz02az+f3+6KJQEt0JSe8gu90e+ye35PbL1QmiMXS3F42hO0Qoyfr6usPhsFgsNpst9uNaojF0hwjFODg4SE9P15wNWjSG7hChGB8+fCgrK5NlubS09N27d8nF0B0i+vT4/PlzcXFxdna2y+WKndFZKInuhMRjJHLgipsnkSFxI8Wt57hJEpkgFCO542oiExLcQZyqFgAAA+I7eAAADIiCBwDAgCh4AAAMiIIHAMCAKHgAAAyIggcAwIAoeAD6ampqJElyu92a9fz8/PHx8ejlmZkZn8+X8mgA4qPgAejY399fXFzMysqKninous0oeOA/i4IHoMPv99+6dcvj8Xz9+nVtbe3fjgNAGAUPQIeqqnV1dR0dHbIsX/cevaKiYnJycnZ2VpKko6Oji4sLr9dbXl5usVhKncv2twAAAmhJREFUS0uv3qqwsFBV1f7+fqvVuru7m6o7AfzVKHgAWqFQaGVlpa2tTZblR48e+f3+8/Pzf24WCAQeP35cU1Ozs7OjKMqrV6+ePXvmcDi8Xq/dbm9ubp6cnIxt/Pr166mpqba2tpycnBTeFeDvxe/BA9Dy+Xx37typr683mUyNjY1v375dXl6urKzUbFZQUKAoiiRJ9+/fPz09HR4e7u3tff78uclkampqCofDg4ODra2t0Y1DodDm5qYsyym+L8Bfi3fwALRUVa2vr49EIqenp06n84ZP6WO2traOj4/b29tjKy0tLaFQKBwOR6+6XC7aHUglCh7AbzY2NjY2NqamphRFURQlLy/v7OwsGAxGIpEbbvXt2zeTyWSz2aRfGhoazs/P9/b2ohvk5eWlIj2AX/iIHsBvVFU1m83v379PT/95fPjy5Yvb7V5aWqqurr7uVvn5+SaTaWFhQVPkubm50QtpaWl/LDIAHRQ8gEsXFxc+n6+urq6qqiq2aLfb+/v7fT7fDQVfUlJy+/bt79+/19bWRlcmJiZWVla8Xu+fzgxAFx/RA7i0uroaCoWePHlydVFRlNra2pmZmdgX6jFms3l7e/vTp09ZWVk9PT3d3d2Dg4OBQKC3t7erq6uoqEiSpBTGB3CJggdwSVXVjIyMhw8fatZdLtfh4eHHjx8160+fPo1EIg0NDWdnZ0NDQyMjI9PT052dnfPz8y9fvuzr60tVcABa0g0noQQAAP9TvIMHAMCAKHgAAAyIggcAwIAoeAAADIiCBwDAgCh4AAAMiIIHAMCAKHgAAAyIggcAwIAoeAAADOgHNhbZ0bKeWvoAAAAASUVORK5CYII=" alt /><!-- --></p>
+</div>
+</div>
+<div id="plotting-life-tables-1" class="section level2">
+<h2>Plotting life tables</h2>
+</div>
+
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>
-- 
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