diff --git a/R/export_prj.R b/R/export_prj.R
index 8f3aa5969136c943d366926f8ba334574b90e3ca..63a32a0a827962a5e881460f1ad8425e1728ee23 100644
--- a/R/export_prj.R
+++ b/R/export_prj.R
@@ -36,6 +36,11 @@ export_prj <- function(ogs6_obj) {
# Include file reference
if(names(ogs6_obj$processes)[[1]] == "include"){
+ # update path to referenced file as reference has to be relative to
+ # the *.prj file location, just remove sim_path
+ new_ref_path <- gsub(ogs6_obj$sim_path, "",
+ ogs6_obj$processes[[1]][["file"]])
+ ogs6_obj$processes <- new_ref_path
processes_node <- to_node(ogs6_obj$processes,
attribute_names = "include")
diff --git a/R/generate_benchmark_script.R b/R/generate_benchmark_script.R
index e5538307297dfed92a57428252031ce1516c3baf..17e92a6e3a75554d3376682b5c63f18ff2d8aa15 100644
--- a/R/generate_benchmark_script.R
+++ b/R/generate_benchmark_script.R
@@ -10,6 +10,7 @@
#' @inheritParams ogs6_generate_benchmark_script
#' @param starting_from_prj_path string: Optional: `.prj` path to start from
#' @param skip_prj_paths character: Optional: `.prj` paths to skip
+#' @param only_prj_files character: Optional: `.prj` files to limit to.
#' @export
ogs6_generate_benchmark_scripts <-
function(path,
@@ -18,7 +19,8 @@ ogs6_generate_benchmark_scripts <-
read_in_gml,
read_in_vtu = FALSE,
starting_from_prj_path = "",
- skip_prj_paths = character()){
+ skip_prj_paths = character(),
+ only_prj_files = character()){
if(missing(path)){
path <- unlist(options("r2ogs6.default_benchmark_path"))
@@ -40,6 +42,7 @@ ogs6_generate_benchmark_scripts <-
script_path <- as_dir_path(script_path)
assertthat::assert_that(assertthat::is.string(starting_from_prj_path))
assertthat::assert_that(is.character(skip_prj_paths))
+ assertthat::assert_that(is.character(only_prj_files))
prj_paths <- list.files(path = path,
pattern = "\\.prj$",
@@ -78,6 +81,12 @@ ogs6_generate_benchmark_scripts <-
next
}
+ if(!(missing(only_prj_files))){
+ if(!(basename(prj_paths[[i]]) %in% only_prj_files)){
+ next
+ }
+ }
+
# cat("\nGenerating script from path", prj_paths[[i]])
# Put simulations in their own subfolders under sim_path
@@ -139,7 +148,7 @@ ogs6_generate_benchmark_script <- function(prj_path,
sim_path,
ogs6_bin_path,
script_path,
- read_in_gml,
+ read_in_gml = FALSE,
read_in_vtu = FALSE) {
if(missing(sim_path)){
@@ -166,8 +175,8 @@ ogs6_generate_benchmark_script <- function(prj_path,
read_in_prj(ogs6_obj,
prj_path,
- read_in_vtu,
- read_in_gml = FALSE)
+ read_in_gml = FALSE,
+ read_in_vtu)
prj_components = ogs6_prj_top_level_classes()
@@ -208,11 +217,12 @@ ogs6_generate_benchmark_script <- function(prj_path,
# Add .vtu references and optionally, OGS6_vtu objects
for(i in seq_len(length(ogs6_obj$meshes))){
- script_str <- paste0(script_str,
- "ogs6_obj$add_vtu(",
- construct_add_call(ogs6_obj$meshes[[i]]), ",\n",
- read_in_vtu,
- ")\n\n")
+ script_str <-
+ paste0(script_str,
+ "ogs6_obj$add_vtu(path = \"",
+ ogs6_obj$meshes[[i]]$path, "\",\n",
+ "axisym = ", ogs6_obj$meshes[[i]]$axially_symmetric, ",\n",
+ "read_in_vtu = ", read_in_vtu, ")\n\n")
}
# Add class objects (and such in wrapper lists)
@@ -233,10 +243,20 @@ ogs6_generate_benchmark_script <- function(prj_path,
}
for(j in seq_along(ogs6_component)){
- script_str <-
- paste0(script_str,
- paste0(construct_add_call(ogs6_component[[j]]),
- "\n\n"))
+ # TODO(boog): this is just an quick and dirty solution for the
+ # include tag for now
+ if(!is.null(names(ogs6_component[j])) &
+ all(names(ogs6_component[j])=="include")){
+ script_str <-
+ paste0(script_str,
+ get_component_call, " <- \"", ogs6_component[[j]],
+ "\"\n\n")
+ }else{
+ script_str <-
+ paste0(script_str,
+ paste0(construct_add_call(ogs6_component[[j]]),
+ "\n\n"))
+ }
}
}
diff --git a/R/zzz.R b/R/zzz.R
index 139492ac406d107004ffd542a88be09fe43bbfb7..e8c43fd82a7d0aa6c243251cd38f6c73cc9523c0 100644
--- a/R/zzz.R
+++ b/R/zzz.R
@@ -24,8 +24,10 @@ dsa <- NULL
if(file.exists("config.yml")){
cfg <- config::get()
- for(i in names(op.r2ogs6)){
- eval(parse(text = paste0("options(", i, " = cfg$", i, ")")))
+ for(i in names(cfg)){
+ if(i %in% names(op.r2ogs6)) {
+ eval(parse(text = paste0("options(", i, " = cfg$", i, ")")))
+ }
}
}
diff --git a/inst/examples/Theis_problem/theis_problem.R b/inst/examples/Theis_problem/theis_problem.R
deleted file mode 100644
index a27e28761c1f3f360099eacf41318ab20df0814a..0000000000000000000000000000000000000000
--- a/inst/examples/Theis_problem/theis_problem.R
+++ /dev/null
@@ -1,33 +0,0 @@
-
-library(r2ogs6)
-
-
-#===== Set up simulation object =====
-
-
-# First make sure you're ready to go by setting r2ogs6.default_ogs_bin_path.
-# You can do this by commenting out the line below and modifying the path to
-# fit your system.
-
-# options("r2ogs6.default_ogs_bin_path" = "your_path_here")
-
-
-# Then we can create a simulation object.
-
-ogs6_obj <- OGS6$new(sim_name = "axisym_theis",
- sim_path = "D:/OGS_Sim/")
-
-
-#===== Read in benchmark file =====
-
-# Modify the prj_path depending on where you saved the benchmark file.
-prj_path <- "inst/extdata/benchmarks/AxiSymTheis/axisym_theis.prj"
-
-# Read in the benchmark into our simulation object
-read_in_prj(ogs6_obj, prj_path, T)
-
-
-#===== Run simulation =====
-
-
-e <- run_simulation(ogs6_obj)
diff --git a/inst/examples/Theis_well_pumping/theis_well_pumping.R b/inst/examples/Theis_well_pumping/theis_well_pumping.R
deleted file mode 100644
index d40df19066b5d9383bfbac28d0fc4cb1011b8f71..0000000000000000000000000000000000000000
--- a/inst/examples/Theis_well_pumping/theis_well_pumping.R
+++ /dev/null
@@ -1,34 +0,0 @@
-
-library(r2ogs6)
-
-
-#===== Set up simulation object =====
-
-
-# First make sure you're ready to go by setting r2ogs6.default_ogs_bin_path.
-# You can do this by commenting out the line below and modifying the path to
-# fit your system.
-
-# options("r2ogs6.default_ogs_bin_path" = "your_path_here")
-
-
-# Then we can create a simulation object.
-
-ogs6_obj <- OGS6$new(sim_name = "theis",
- sim_id = 1,
- sim_path = "D:/OGS_Sim/")
-
-
-#===== Read in benchmark file =====
-
-# Modify the prj_path depending on where you saved the benchmark file.
-prj_path <- "inst/extdata/benchmarks/theis_well_pumping/theis.prj"
-
-# Read in the benchmark into our simulation object
-read_in_prj(ogs6_obj, prj_path)
-
-
-#===== Run simulation =====
-
-
-e <- run_simulation(ogs6_obj)
diff --git a/inst/examples/workflow_demos/ensemble.R b/inst/examples/workflow_demos/ensemble.R
deleted file mode 100644
index c306bc5e63adff737cf12b48aa18a7a7670354c9..0000000000000000000000000000000000000000
--- a/inst/examples/workflow_demos/ensemble.R
+++ /dev/null
@@ -1,46 +0,0 @@
-
-library(r2ogs6)
-
-
-#===== Set up simulation object =====
-
-
-# First make sure you're ready to go by setting r2ogs6.default_ogs_bin_path.
-# You can do this by commenting out the line below and modifying the path to
-# fit your system.
-
-# options("r2ogs6.default_ogs_bin_path" = "your_path_here")
-
-
-# Then we can create a simulation object.
-
-ogs6_obj <- OGS6$new(sim_name = "my_sim",
- sim_id = 1,
- sim_path = "D:/OGS_Sim/")
-
-
-#===== Read in benchmark file =====
-
-
-# Modify the prj_path depending on where you saved the benchmark file.
-prj_path <- "inst/extdata/flow_free_expansion/flow_free_expansion.prj"
-
-# Read in the benchmark into our simulation object
-read_in_prj(ogs6_obj, prj_path)
-
-
-#===== Create ensemble from simulation object =====
-
-
-ogs6_ens <- OGS6_Ensemble$new(
- ogs6_obj = ogs6_obj,
- parameters = list(list(ogs6_obj$parameters[[2]]$value, c(0.2, 0.3, 0.4)))
-)
-
-
-#===== Run simulation =====
-
-
-# Should work on machines with more RAM
-ogs6_ens$run_simulation(parallel = TRUE)
-
diff --git a/inst/examples/workflow_demos/read_from_benchmark.R b/inst/examples/workflow_demos/read_from_benchmark.R
index b067d2a1f882b2f9742c8b65e4de45d100b7eaa0..c7dcc3c28e937b26ecd0ac538463a17f60715048 100644
--- a/inst/examples/workflow_demos/read_from_benchmark.R
+++ b/inst/examples/workflow_demos/read_from_benchmark.R
@@ -9,13 +9,13 @@ library(r2ogs6)
# You can do this by commenting out the line below and modifying the path to
# fit your system.
-# options("r2ogs6.default_ogs_bin_path" = "your_path_here")
+# options("r2ogs6.default_ogs6_bin_path" = "your_path_here")
# Then we can create a simulation object.
-
+tmpdir <- tempdir()
ogs6_obj <- OGS6$new(sim_name = "flow_free_expansion",
- sim_path = "D:/OGS_Sim/")
+ sim_path = tmpdir)
#===== Read in benchmark file =====
@@ -24,10 +24,8 @@ ogs6_obj <- OGS6$new(sim_name = "flow_free_expansion",
prj_path <- "inst/extdata/benchmarks/flow_free_expansion/flow_free_expansion.prj"
# Read in the benchmark into our simulation object
-read_in_prj(ogs6_obj, prj_path)
+read_in_prj(ogs6_obj, prj_path, read_in_gml = T)
#===== Run simulation =====
-
-
e <- ogs6_run_simulation(ogs6_obj, write_logfile = FALSE)
diff --git a/inst/extdata/benchmarks/theis_well_pumping/theis.prj b/inst/extdata/benchmarks/theis_well_pumping/theis.prj
index d4653df978f0863ce4f87e04879a380d67517954..b7877db3cc0f6cac5b71549fe7f185367e5e7471 100644
--- a/inst/extdata/benchmarks/theis_well_pumping/theis.prj
+++ b/inst/extdata/benchmarks/theis_well_pumping/theis.prj
@@ -34,7 +34,7 @@
<name>concentration</name>
<properties>
<property>
- <name>molecular_diffusion</name>
+ <name>pore_diffusion</name>
<type>Constant</type>
<value>2e-9</value>
</property>
diff --git a/inst/vignettes_built/dev_workflow_vignette.html b/inst/vignettes_built/dev_workflow_vignette.html
new file mode 100644
index 0000000000000000000000000000000000000000..95372369207d343d832388c608c937e5b6709f0d
--- /dev/null
+++ b/inst/vignettes_built/dev_workflow_vignette.html
@@ -0,0 +1,441 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+
+<meta name="author" content="Ruben Heinrich" />
+
+
+<title>r2ogs6 Developer Guide</title>
+
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+<h1 class="title toc-ignore">r2ogs6 Developer Guide</h1>
+<h4 class="author">Ruben Heinrich</h4>
+
+
+
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(r2ogs6)</span></code></pre></div>
+<div id="hi-there" class="section level2">
+<h2>Hi there!</h2>
+<p>Welcome to my dev guide on <code>r2ogs6</code>. This is a collection of tips, useful info (and admittedly a few warnings) which will hopefully make your life a bit easier when developing this package.</p>
+</div>
+<div id="the-basics" class="section level2">
+<h2>The basics</h2>
+<p>Before we dive into any implementation details, we will take a look at how exactly this package is structured first. <code>r2ogs6</code> was developed using the workflow described <a href="https://r-pkgs.org/index.html">here</a>. I strongly recommend keeping it that way as it will save you time and headaches.</p>
+<p>…</p>
+<p>In the main folder <code>R/</code> you will find a lot of scripts, most of which can be grouped into the following categories:</p>
+<ul>
+<li><p><code>export_*.R</code> export functions</p></li>
+<li><p><code>generate_*.R</code> code generation</p></li>
+<li><p><code>read_in_*.R</code> import functions</p></li>
+<li><p><code>ogs6_*.R</code> simulation class definitions</p></li>
+<li><p><code>prj_*.R</code> class definitions for XML tags found in a <code>.prj</code> file</p></li>
+<li><p><code>*_utils.R</code> utility functions used in multiple scripts</p></li>
+</ul>
+</div>
+<div id="the-classes" class="section level2">
+<h2>The classes</h2>
+<p><code>r2ogs6</code> is largely built on top of S3 classes at the moment. For reasons I will elaborate on later, it is very viable to switch to R6 classes. But let’s look at what we have first.</p>
+<p>….</p>
+</div>
+<div id="generating-new-classes" class="section level2">
+<h2>Generating new classes</h2>
+<p>If you’ve familiarized yourself with OpenGeoSys 6, you know that there are a lot, and by a lot I mean a LOT of parameters and special cases regarding the <code>.prj</code> XML tags. For a nice new class based on such a tag, you will have to consider all of them.</p>
+<p>To save me (and you) a bit of typing, I’ve written a few useful functions for this.</p>
+<div id="analyse_xml" class="section level3">
+<h3>analyse_xml()</h3>
+<p>The first and arguably most important one is <code>analyse_xml()</code>. It matches files in a folder, reads them in as XML and searches for XML elements of a given name. It then analyses those elements and returns useful information about them, namely the names of their attributes and child elements. It prints a summary of its findings and also returns a list which we will look at in a moment.</p>
+<p>I used this function for two things: Analysing … . Secondly, as soon as I had decided which tags should be represented by a class, I used the function output for class generation.</p>
+</div>
+<div id="generate_" class="section level3">
+<h3>generate_*()</h3>
+<p>So say we have some <code>.prj</code> files stored in a folder. I will show the workflow on a small dataset (that is, on a folder with only two <code>.prj</code> files) here, the path I usually passed to <code>analyse_xml()</code> was the directory containing all of the benchmark files for OpenGeoSys 6 which can be downloaded from <a href="https://gitlab.opengeosys.org/ogs/ogs/-/tree/master/Tests/Data/">here</a>.</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>test_folder <span class="ot"><-</span> <span class="fu">system.file</span>(<span class="st">"extdata/vignettes_data/analyse_xml_demo"</span>, </span>
+<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a> <span class="at">package =</span> <span class="st">"r2ogs6"</span>)</span></code></pre></div>
+<p>Now say we have decided we are going to make a class based on the element with tag name <code>nonlinear_solver</code>. For readability reasons, I will store the results of <code>analyse_xml()</code> in a variable and pass it to our generator function. If you want, you can skip this step and call <code>analyse_xml()</code> in the generator function directly.</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>analysis_results <span class="ot"><-</span> <span class="fu">analyse_xml</span>(<span class="at">path =</span> test_folder,</span>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a> <span class="at">pattern =</span> <span class="st">"</span><span class="sc">\\</span><span class="st">.prj$"</span>,</span>
+<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a> <span class="at">xpath =</span> <span class="st">"//nonlinear_solver"</span>,</span>
+<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> <span class="at">print_findings =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a><span class="co">#> I parsed 2 valid XML files matching your pattern.</span></span>
+<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a><span class="co">#> I found at least one element named nonlinear_solver in the following file(s):</span></span>
+<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a><span class="co">#> beam.prj </span></span>
+<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a><span class="co">#> beam3d.prj </span></span>
+<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb3-12"><a href="#cb3-12" aria-hidden="true" tabindex="-1"></a><span class="co">#> In total, I found 5 element(s) named nonlinear_solver.</span></span>
+<span id="cb3-13"><a href="#cb3-13" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb3-14"><a href="#cb3-14" aria-hidden="true" tabindex="-1"></a><span class="co">#> These are the child elements I found:</span></span>
+<span id="cb3-15"><a href="#cb3-15" aria-hidden="true" tabindex="-1"></a><span class="co">#> name ex_occ p_occ total total_mean</span></span>
+<span id="cb3-16"><a href="#cb3-16" aria-hidden="true" tabindex="-1"></a><span class="co">#> 1 name 2 0.4 2 0.4</span></span>
+<span id="cb3-17"><a href="#cb3-17" aria-hidden="true" tabindex="-1"></a><span class="co">#> 2 type 2 0.4 2 0.4</span></span>
+<span id="cb3-18"><a href="#cb3-18" aria-hidden="true" tabindex="-1"></a><span class="co">#> 3 max_iter 2 0.4 2 0.4</span></span>
+<span id="cb3-19"><a href="#cb3-19" aria-hidden="true" tabindex="-1"></a><span class="co">#> 4 linear_solver 2 0.4 2 0.4</span></span>
+<span id="cb3-20"><a href="#cb3-20" aria-hidden="true" tabindex="-1"></a><span class="co">#> 5 maximum_iterations 1 0.2 1 0.2</span></span>
+<span id="cb3-21"><a href="#cb3-21" aria-hidden="true" tabindex="-1"></a><span class="co">#> 6 error_tolerance 1 0.2 1 0.2</span></span>
+<span id="cb3-22"><a href="#cb3-22" aria-hidden="true" tabindex="-1"></a><span class="co">#> 7 damping 1 0.2 1 0.2</span></span></code></pre></div>
+<p>First, I define my path and specify that only files with the ending <code>.prj</code> will be parsed. I’m looking for elements named <code>nonlinear_solver</code>, and I’m looking for them in the whole document. This often isn’t the best option since sometimes nodes may have the same name but contain different things depending on their exact position in the document, which is also the case here. To narrow it down further, change <code>xpath</code> accordingly.</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>analysis_results <span class="ot"><-</span> <span class="fu">analyse_xml</span>(<span class="at">path =</span> test_folder,</span>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a> <span class="at">pattern =</span> <span class="st">"</span><span class="sc">\\</span><span class="st">.prj$"</span>,</span>
+<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a> <span class="at">xpath =</span> <span class="st">"/OpenGeoSysProject/nonlinear_solvers/nonlinear_solver"</span>,</span>
+<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a> <span class="at">print_findings =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a><span class="co">#> I parsed 2 valid XML files matching your pattern.</span></span>
+<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a><span class="co">#> I found at least one element named nonlinear_solver in the following file(s):</span></span>
+<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a><span class="co">#> beam.prj </span></span>
+<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a><span class="co">#> beam3d.prj </span></span>
+<span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb4-12"><a href="#cb4-12" aria-hidden="true" tabindex="-1"></a><span class="co">#> In total, I found 2 element(s) named nonlinear_solver.</span></span>
+<span id="cb4-13"><a href="#cb4-13" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb4-14"><a href="#cb4-14" aria-hidden="true" tabindex="-1"></a><span class="co">#> These are the child elements I found:</span></span>
+<span id="cb4-15"><a href="#cb4-15" aria-hidden="true" tabindex="-1"></a><span class="co">#> name ex_occ p_occ total total_mean</span></span>
+<span id="cb4-16"><a href="#cb4-16" aria-hidden="true" tabindex="-1"></a><span class="co">#> 1 name 2 1.0 2 1.0</span></span>
+<span id="cb4-17"><a href="#cb4-17" aria-hidden="true" tabindex="-1"></a><span class="co">#> 2 type 2 1.0 2 1.0</span></span>
+<span id="cb4-18"><a href="#cb4-18" aria-hidden="true" tabindex="-1"></a><span class="co">#> 3 max_iter 2 1.0 2 1.0</span></span>
+<span id="cb4-19"><a href="#cb4-19" aria-hidden="true" tabindex="-1"></a><span class="co">#> 4 linear_solver 2 1.0 2 1.0</span></span>
+<span id="cb4-20"><a href="#cb4-20" aria-hidden="true" tabindex="-1"></a><span class="co">#> 5 damping 1 0.5 1 0.5</span></span></code></pre></div>
+<p>Now we can be sure our future class will be generated from the correct parameters. <code>analyse_xml()</code> returns a named list invisibly, let’s have a short look at it.</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>analysis_results</span>
+<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="co">#> $xpath</span></span>
+<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a><span class="co">#> [1] "/OpenGeoSysProject/nonlinear_solvers/nonlinear_solver"</span></span>
+<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a><span class="co">#> $children</span></span>
+<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a><span class="co">#> name type max_iter linear_solver damping </span></span>
+<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a><span class="co">#> TRUE TRUE TRUE TRUE FALSE </span></span>
+<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a><span class="co">#> $attributes</span></span>
+<span id="cb5-10"><a href="#cb5-10" aria-hidden="true" tabindex="-1"></a><span class="co">#> logical(0)</span></span>
+<span id="cb5-11"><a href="#cb5-11" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb5-12"><a href="#cb5-12" aria-hidden="true" tabindex="-1"></a><span class="co">#> $both_sorted</span></span>
+<span id="cb5-13"><a href="#cb5-13" aria-hidden="true" tabindex="-1"></a><span class="co">#> name type max_iter linear_solver damping </span></span>
+<span id="cb5-14"><a href="#cb5-14" aria-hidden="true" tabindex="-1"></a><span class="co">#> TRUE TRUE TRUE TRUE FALSE</span></span></code></pre></div>
+<p>You can see the list contains the <code>xpath</code> parameter passed to <code>analyse_xml()</code>, along with three named logical vectors called <code>children</code>, <code>attributes</code> and <code>both_sorted</code> respectively. They can be read like this: If an attribute or a child of the element specified by <code>xpath</code> always occurred, it is a required parameter for the new class. Else, it is an optional parameter. The logical vectors are sorted by occurrency, so the rarest children and attributes will go to the very end of their logical vector. Now, let’s generate some code!</p>
+<p>For S3 classes, we generate a constructor like this:</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="fu">generate_constructor</span>(<span class="at">params =</span> analysis_results,</span>
+<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a> <span class="at">print_result =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a><span class="co">#> new_prj_nonlinear_solver <- function(name,</span></span>
+<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a><span class="co">#> type,</span></span>
+<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a><span class="co">#> max_iter,</span></span>
+<span id="cb6-6"><a href="#cb6-6" aria-hidden="true" tabindex="-1"></a><span class="co">#> linear_solver,</span></span>
+<span id="cb6-7"><a href="#cb6-7" aria-hidden="true" tabindex="-1"></a><span class="co">#> damping = NULL) {</span></span>
+<span id="cb6-8"><a href="#cb6-8" aria-hidden="true" tabindex="-1"></a><span class="co">#> structure(list(name = name,</span></span>
+<span id="cb6-9"><a href="#cb6-9" aria-hidden="true" tabindex="-1"></a><span class="co">#> type = type,</span></span>
+<span id="cb6-10"><a href="#cb6-10" aria-hidden="true" tabindex="-1"></a><span class="co">#> max_iter = max_iter,</span></span>
+<span id="cb6-11"><a href="#cb6-11" aria-hidden="true" tabindex="-1"></a><span class="co">#> linear_solver = linear_solver,</span></span>
+<span id="cb6-12"><a href="#cb6-12" aria-hidden="true" tabindex="-1"></a><span class="co">#> damping = damping,</span></span>
+<span id="cb6-13"><a href="#cb6-13" aria-hidden="true" tabindex="-1"></a><span class="co">#> xpath = "nonlinear_solvers/nonlinear_solver",</span></span>
+<span id="cb6-14"><a href="#cb6-14" aria-hidden="true" tabindex="-1"></a><span class="co">#> attr_names = c(),</span></span>
+<span id="cb6-15"><a href="#cb6-15" aria-hidden="true" tabindex="-1"></a><span class="co">#> flatten_on_exp = character()</span></span>
+<span id="cb6-16"><a href="#cb6-16" aria-hidden="true" tabindex="-1"></a><span class="co">#> ),</span></span>
+<span id="cb6-17"><a href="#cb6-17" aria-hidden="true" tabindex="-1"></a><span class="co">#> class = "prj_nonlinear_solver"</span></span>
+<span id="cb6-18"><a href="#cb6-18" aria-hidden="true" tabindex="-1"></a><span class="co">#> )</span></span>
+<span id="cb6-19"><a href="#cb6-19" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb6-20"><a href="#cb6-20" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span></code></pre></div>
+<p>For S3 classes, we generate a helper like this:</p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="fu">generate_helper</span>(<span class="at">params =</span> analysis_results,</span>
+<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a> <span class="at">print_result =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'prj_nonlinear_solver</span></span>
+<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@description tag: nonlinear_solver</span></span>
+<span id="cb7-5"><a href="#cb7-5" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param name</span></span>
+<span id="cb7-6"><a href="#cb7-6" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param type</span></span>
+<span id="cb7-7"><a href="#cb7-7" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param max_iter</span></span>
+<span id="cb7-8"><a href="#cb7-8" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param linear_solver</span></span>
+<span id="cb7-9"><a href="#cb7-9" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param damping Optional: </span></span>
+<span id="cb7-10"><a href="#cb7-10" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@export</span></span>
+<span id="cb7-11"><a href="#cb7-11" aria-hidden="true" tabindex="-1"></a><span class="co">#> prj_nonlinear_solver <- function(name,</span></span>
+<span id="cb7-12"><a href="#cb7-12" aria-hidden="true" tabindex="-1"></a><span class="co">#> type,</span></span>
+<span id="cb7-13"><a href="#cb7-13" aria-hidden="true" tabindex="-1"></a><span class="co">#> max_iter,</span></span>
+<span id="cb7-14"><a href="#cb7-14" aria-hidden="true" tabindex="-1"></a><span class="co">#> linear_solver,</span></span>
+<span id="cb7-15"><a href="#cb7-15" aria-hidden="true" tabindex="-1"></a><span class="co">#> damping = NULL) {</span></span>
+<span id="cb7-16"><a href="#cb7-16" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb7-17"><a href="#cb7-17" aria-hidden="true" tabindex="-1"></a><span class="co">#> # Add coercing utility here</span></span>
+<span id="cb7-18"><a href="#cb7-18" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb7-19"><a href="#cb7-19" aria-hidden="true" tabindex="-1"></a><span class="co">#> new_prj_nonlinear_solver(name,</span></span>
+<span id="cb7-20"><a href="#cb7-20" aria-hidden="true" tabindex="-1"></a><span class="co">#> type,</span></span>
+<span id="cb7-21"><a href="#cb7-21" aria-hidden="true" tabindex="-1"></a><span class="co">#> max_iter,</span></span>
+<span id="cb7-22"><a href="#cb7-22" aria-hidden="true" tabindex="-1"></a><span class="co">#> linear_solver,</span></span>
+<span id="cb7-23"><a href="#cb7-23" aria-hidden="true" tabindex="-1"></a><span class="co">#> damping)</span></span>
+<span id="cb7-24"><a href="#cb7-24" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb7-25"><a href="#cb7-25" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span></code></pre></div>
+<p>For R6 classes, we generate a constructor like this:</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="fu">generate_R6</span>(<span class="at">params =</span> analysis_results,</span>
+<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a> <span class="at">print_result =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a><span class="co">#> OGS6_nonlinear_solver <- R6::R6Class("OGS6_nonlinear_solver",</span></span>
+<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a><span class="co">#> public = list(</span></span>
+<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@description</span></span>
+<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Creates new OGS6_nonlinear_solverobject</span></span>
+<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param name</span></span>
+<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param type</span></span>
+<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param max_iter</span></span>
+<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param linear_solver</span></span>
+<span id="cb8-11"><a href="#cb8-11" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@param damping Optional: initialize = function(name,</span></span>
+<span id="cb8-12"><a href="#cb8-12" aria-hidden="true" tabindex="-1"></a><span class="co">#> type,</span></span>
+<span id="cb8-13"><a href="#cb8-13" aria-hidden="true" tabindex="-1"></a><span class="co">#> max_iter,</span></span>
+<span id="cb8-14"><a href="#cb8-14" aria-hidden="true" tabindex="-1"></a><span class="co">#> linear_solver,</span></span>
+<span id="cb8-15"><a href="#cb8-15" aria-hidden="true" tabindex="-1"></a><span class="co">#> damping = NULL){</span></span>
+<span id="cb8-16"><a href="#cb8-16" aria-hidden="true" tabindex="-1"></a><span class="co">#> self$name <- name</span></span>
+<span id="cb8-17"><a href="#cb8-17" aria-hidden="true" tabindex="-1"></a><span class="co">#> self$type <- type</span></span>
+<span id="cb8-18"><a href="#cb8-18" aria-hidden="true" tabindex="-1"></a><span class="co">#> self$max_iter <- max_iter</span></span>
+<span id="cb8-19"><a href="#cb8-19" aria-hidden="true" tabindex="-1"></a><span class="co">#> self$linear_solver <- linear_solver</span></span>
+<span id="cb8-20"><a href="#cb8-20" aria-hidden="true" tabindex="-1"></a><span class="co">#> self$damping <- damping</span></span>
+<span id="cb8-21"><a href="#cb8-21" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb8-22"><a href="#cb8-22" aria-hidden="true" tabindex="-1"></a><span class="co">#> ),</span></span>
+<span id="cb8-23"><a href="#cb8-23" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-24"><a href="#cb8-24" aria-hidden="true" tabindex="-1"></a><span class="co">#> active = list(</span></span>
+<span id="cb8-25"><a href="#cb8-25" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@field name</span></span>
+<span id="cb8-26"><a href="#cb8-26" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Access to private parameter '.name'</span></span>
+<span id="cb8-27"><a href="#cb8-27" aria-hidden="true" tabindex="-1"></a><span class="co">#> name = function(value) {</span></span>
+<span id="cb8-28"><a href="#cb8-28" aria-hidden="true" tabindex="-1"></a><span class="co">#> if(missing(value)) {</span></span>
+<span id="cb8-29"><a href="#cb8-29" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.name</span></span>
+<span id="cb8-30"><a href="#cb8-30" aria-hidden="true" tabindex="-1"></a><span class="co">#> }else{</span></span>
+<span id="cb8-31"><a href="#cb8-31" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.name <- value</span></span>
+<span id="cb8-32"><a href="#cb8-32" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb8-33"><a href="#cb8-33" aria-hidden="true" tabindex="-1"></a><span class="co">#> },</span></span>
+<span id="cb8-34"><a href="#cb8-34" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-35"><a href="#cb8-35" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@field type</span></span>
+<span id="cb8-36"><a href="#cb8-36" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Access to private parameter '.type'</span></span>
+<span id="cb8-37"><a href="#cb8-37" aria-hidden="true" tabindex="-1"></a><span class="co">#> type = function(value) {</span></span>
+<span id="cb8-38"><a href="#cb8-38" aria-hidden="true" tabindex="-1"></a><span class="co">#> if(missing(value)) {</span></span>
+<span id="cb8-39"><a href="#cb8-39" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.type</span></span>
+<span id="cb8-40"><a href="#cb8-40" aria-hidden="true" tabindex="-1"></a><span class="co">#> }else{</span></span>
+<span id="cb8-41"><a href="#cb8-41" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.type <- value</span></span>
+<span id="cb8-42"><a href="#cb8-42" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb8-43"><a href="#cb8-43" aria-hidden="true" tabindex="-1"></a><span class="co">#> },</span></span>
+<span id="cb8-44"><a href="#cb8-44" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-45"><a href="#cb8-45" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@field max_iter</span></span>
+<span id="cb8-46"><a href="#cb8-46" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Access to private parameter '.max_iter'</span></span>
+<span id="cb8-47"><a href="#cb8-47" aria-hidden="true" tabindex="-1"></a><span class="co">#> max_iter = function(value) {</span></span>
+<span id="cb8-48"><a href="#cb8-48" aria-hidden="true" tabindex="-1"></a><span class="co">#> if(missing(value)) {</span></span>
+<span id="cb8-49"><a href="#cb8-49" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.max_iter</span></span>
+<span id="cb8-50"><a href="#cb8-50" aria-hidden="true" tabindex="-1"></a><span class="co">#> }else{</span></span>
+<span id="cb8-51"><a href="#cb8-51" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.max_iter <- value</span></span>
+<span id="cb8-52"><a href="#cb8-52" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb8-53"><a href="#cb8-53" aria-hidden="true" tabindex="-1"></a><span class="co">#> },</span></span>
+<span id="cb8-54"><a href="#cb8-54" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-55"><a href="#cb8-55" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@field linear_solver</span></span>
+<span id="cb8-56"><a href="#cb8-56" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Access to private parameter '.linear_solver'</span></span>
+<span id="cb8-57"><a href="#cb8-57" aria-hidden="true" tabindex="-1"></a><span class="co">#> linear_solver = function(value) {</span></span>
+<span id="cb8-58"><a href="#cb8-58" aria-hidden="true" tabindex="-1"></a><span class="co">#> if(missing(value)) {</span></span>
+<span id="cb8-59"><a href="#cb8-59" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.linear_solver</span></span>
+<span id="cb8-60"><a href="#cb8-60" aria-hidden="true" tabindex="-1"></a><span class="co">#> }else{</span></span>
+<span id="cb8-61"><a href="#cb8-61" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.linear_solver <- value</span></span>
+<span id="cb8-62"><a href="#cb8-62" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb8-63"><a href="#cb8-63" aria-hidden="true" tabindex="-1"></a><span class="co">#> },</span></span>
+<span id="cb8-64"><a href="#cb8-64" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-65"><a href="#cb8-65" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@field damping</span></span>
+<span id="cb8-66"><a href="#cb8-66" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Access to private parameter '.damping'</span></span>
+<span id="cb8-67"><a href="#cb8-67" aria-hidden="true" tabindex="-1"></a><span class="co">#> damping = function(value) {</span></span>
+<span id="cb8-68"><a href="#cb8-68" aria-hidden="true" tabindex="-1"></a><span class="co">#> if(missing(value)) {</span></span>
+<span id="cb8-69"><a href="#cb8-69" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.damping</span></span>
+<span id="cb8-70"><a href="#cb8-70" aria-hidden="true" tabindex="-1"></a><span class="co">#> }else{</span></span>
+<span id="cb8-71"><a href="#cb8-71" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.damping <- value</span></span>
+<span id="cb8-72"><a href="#cb8-72" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb8-73"><a href="#cb8-73" aria-hidden="true" tabindex="-1"></a><span class="co">#> },</span></span>
+<span id="cb8-74"><a href="#cb8-74" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-75"><a href="#cb8-75" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@field is_subclass</span></span>
+<span id="cb8-76"><a href="#cb8-76" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Access to private parameter '.is_subclass'</span></span>
+<span id="cb8-77"><a href="#cb8-77" aria-hidden="true" tabindex="-1"></a><span class="co">#> is_subclass = function() {</span></span>
+<span id="cb8-78"><a href="#cb8-78" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.is_subclass</span></span>
+<span id="cb8-79"><a href="#cb8-79" aria-hidden="true" tabindex="-1"></a><span class="co">#> },</span></span>
+<span id="cb8-80"><a href="#cb8-80" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-81"><a href="#cb8-81" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@field subclasses_names</span></span>
+<span id="cb8-82"><a href="#cb8-82" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Access to private parameter '.subclasses_names'</span></span>
+<span id="cb8-83"><a href="#cb8-83" aria-hidden="true" tabindex="-1"></a><span class="co">#> subclasses_names = function() {</span></span>
+<span id="cb8-84"><a href="#cb8-84" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.subclasses_names</span></span>
+<span id="cb8-85"><a href="#cb8-85" aria-hidden="true" tabindex="-1"></a><span class="co">#> },</span></span>
+<span id="cb8-86"><a href="#cb8-86" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-87"><a href="#cb8-87" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'@field attr_names</span></span>
+<span id="cb8-88"><a href="#cb8-88" aria-hidden="true" tabindex="-1"></a><span class="co">#> #'Access to private parameter '.attr_names'</span></span>
+<span id="cb8-89"><a href="#cb8-89" aria-hidden="true" tabindex="-1"></a><span class="co">#> attr_names = function() {</span></span>
+<span id="cb8-90"><a href="#cb8-90" aria-hidden="true" tabindex="-1"></a><span class="co">#> private$.attr_names</span></span>
+<span id="cb8-91"><a href="#cb8-91" aria-hidden="true" tabindex="-1"></a><span class="co">#> }</span></span>
+<span id="cb8-92"><a href="#cb8-92" aria-hidden="true" tabindex="-1"></a><span class="co">#> ),</span></span>
+<span id="cb8-93"><a href="#cb8-93" aria-hidden="true" tabindex="-1"></a><span class="co">#> </span></span>
+<span id="cb8-94"><a href="#cb8-94" aria-hidden="true" tabindex="-1"></a><span class="co">#> private = list(</span></span>
+<span id="cb8-95"><a href="#cb8-95" aria-hidden="true" tabindex="-1"></a><span class="co">#> .name = NULL,</span></span>
+<span id="cb8-96"><a href="#cb8-96" aria-hidden="true" tabindex="-1"></a><span class="co">#> .type = NULL,</span></span>
+<span id="cb8-97"><a href="#cb8-97" aria-hidden="true" tabindex="-1"></a><span class="co">#> .max_iter = NULL,</span></span>
+<span id="cb8-98"><a href="#cb8-98" aria-hidden="true" tabindex="-1"></a><span class="co">#> .linear_solver = NULL,</span></span>
+<span id="cb8-99"><a href="#cb8-99" aria-hidden="true" tabindex="-1"></a><span class="co">#> .damping = NULL,</span></span>
+<span id="cb8-100"><a href="#cb8-100" aria-hidden="true" tabindex="-1"></a><span class="co">#> .is_subclass = TRUE,</span></span>
+<span id="cb8-101"><a href="#cb8-101" aria-hidden="true" tabindex="-1"></a><span class="co">#> .subclasses_names = character(),</span></span>
+<span id="cb8-102"><a href="#cb8-102" aria-hidden="true" tabindex="-1"></a><span class="co">#> .attr_names = c(),</span></span>
+<span id="cb8-103"><a href="#cb8-103" aria-hidden="true" tabindex="-1"></a><span class="co">#> )</span></span>
+<span id="cb8-104"><a href="#cb8-104" aria-hidden="true" tabindex="-1"></a><span class="co">#> )</span></span></code></pre></div>
+<p>Ta-daa, you now have some nice stubs. Copy them into a script in the <code>R</code> folder of this package, add some documentation and validation to it and you’re almost done.</p>
+</div>
+</div>
+<div id="integrating-new-classes" class="section level2">
+<h2>Integrating new classes</h2>
+<p>Now that we have a class, we need to tell the package it exists. This is so when we’re reading in or exporting a <code>.prj</code> file, it knows to automatically turn the content of our <code>nonlinear_solver</code> tag into an object of our new class and the other way around. To achieve this, execute the code in <code>data_raw/xpaths_for_classes.R</code>. What this will do is update the <code>xpaths_for_classes</code> parameter, adding an entry for your class. Afterwards, run <code>xpaths_for_classes[["your_class_name"]]</code>. It should return the <code>xpath</code> parameter of your class like so:</p>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>xpaths_for_classes[[<span class="st">"prj_process"</span>]]</span>
+<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a><span class="co">#> [1] "processes/process"</span></span>
+<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a><span class="co"># A class can have multiple xpaths if the represented node occurs at different positions.</span></span>
+<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a>xpaths_for_classes[[<span class="st">"prj_convergence_criterion"</span>]]</span>
+<span id="cb9-6"><a href="#cb9-6" aria-hidden="true" tabindex="-1"></a><span class="co">#> [1] "time_loop/processes/process/convergence_criterion" </span></span>
+<span id="cb9-7"><a href="#cb9-7" aria-hidden="true" tabindex="-1"></a><span class="co">#> [2] "time_loop/global_process_coupling/convergence_criteria/convergence_criterion"</span></span></code></pre></div>
+<p>If the class you’ve created is a <code>.prj</code> top level class or a child of a top level wrapper node like <code>processes</code>, add a corresponding <code>OGS6</code> private parameter and an active field. For example, the <code>processes</code> node is represented as a list, so I added the private parameter <code>.processes = list()</code> and the active field <code>processes</code>.</p>
+<p>A lot of things in the <code>r2ogs6</code> package work in a way that is a bit “metaâ€. Often times, functions are called via <code>eval(parse(text = call_string))</code> where <code>call_string</code> has for example been concatenated out of info about the parameter names of a certain class. This saves a lot of code regarding import, export and script generation but requires that you’ve made the respective info available as shown here.</p>
+<p>So we’ve analysed some files, generated some code, created a new class and registered it with the package… what now? That’s it actually, that’s the workflow. Well, at least it’s supposed to be.</p>
+</div>
+<div id="recursive-function-guide" class="section level2">
+<h2>Recursive function guide</h2>
+<p>If that wasn’t it, I’m afraid you might have to take a look at the functions handling import, export and benchmark script generation. These are a bit tricky because they use recursion which so far has proven to be efficient structure-wise but not exactly fun to think about.</p>
+<div id="read_in" class="section level3">
+<h3>read_in</h3>
+</div>
+<div id="to_node" class="section level3">
+<h3>to_node</h3>
+</div>
+<div id="generate_benchmark_script" class="section level3">
+<h3>generate_benchmark_script</h3>
+</div>
+</div>
+<div id="conclusion" class="section level2">
+<h2>Conclusion</h2>
+<p>I hope you’ve taken away some helpful information from this short guide. If you make changes to improve the workflow, please update this vignette for the next dev!</p>
+</div>
+
+
+
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+</head>
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+<body>
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+<h1 class="title toc-ignore">r2ogs6 Ensemble Guide</h1>
+<h4 class="author">Ruben Heinrich</h4>
+
+
+
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(r2ogs6)</span>
+<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(ggplot2)</span>
+<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(dplyr)</span></code></pre></div>
+<div id="introduction" class="section level2">
+<h2>Introduction</h2>
+<p>Hi there! This is a practical guide on the <code>OGS6_Ensemble</code> class from the <code>r2ogs6</code> package. I will show you how you can use this class to set up ensemble runs for OpenGeoSys 6, extract the results and plot them.</p>
+<p>If you want to follow this tutorial, you’ll need to have <code>r2ogs6</code> installed and loaded. The prerequisites for <code>r2ogs6</code> are described in detail in the <code>r2ogs6 User Guide</code> vignette.</p>
+<p>Additionally, you’ll need the following benchmark files:</p>
+<ul>
+<li><p><a href="https://gitlab.opengeosys.org/ogs/ogs/-/tree/master/Tests/Data/Parabolic/LiquidFlow/AxiSymTheis">Theis’ Problem</a> as described <a href="https://www.opengeosys.org/docs/benchmarks/liquid-flow/liquid-flow-theis-problem/">here</a></p></li>
+<li><p><a href="https://gitlab.opengeosys.org/ogs/ogs/-/tree/master/Tests/Data/Parabolic/ComponentTransport/Theis">Theis solution for well pumping</a> as described <a href="https://www.opengeosys.org/docs/benchmarks/hydro-component/theis/hc_theis/">here</a></p></li>
+</ul>
+<p>General instructions on how to download OpenGeoSys 6 benchmark files can be found <a href="https://www.opengeosys.org/docs/userguide/basics/introduction/#download-benchmarks">here</a>.</p>
+</div>
+<div id="theis-problem" class="section level2">
+<h2>Theis’ problem</h2>
+<p>We will consider the following parameters for our sensitivity analysis:</p>
+<ul>
+<li><p><code>permeability</code></p></li>
+<li><p><code>porosity</code></p></li>
+<li><p><code>storage</code></p></li>
+</ul>
+<div id="setup" class="section level3">
+<h3>Setup</h3>
+<p>First, we create a simulation object to base our ensemble on and read in the <code>.prj</code> file.</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Change this to fit your system</span></span>
+<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>testdir_path <span class="ot"><-</span> <span class="fu">tempdir</span>()</span>
+<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>sim_path <span class="ot"><-</span> <span class="fu">paste0</span>(testdir_path, <span class="st">"/axisym_theis_sim"</span>)</span>
+<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a>ogs6_obj <span class="ot"><-</span> OGS6<span class="sc">$</span><span class="fu">new</span>(<span class="at">sim_name =</span> <span class="st">"axisym_theis"</span>,</span>
+<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> <span class="at">sim_path =</span> sim_path)</span>
+<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a><span class="co"># Change this to fit your system</span></span>
+<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a>prj_path <span class="ot"><-</span> <span class="fu">system.file</span>(<span class="st">"extdata/benchmarks/AxiSymTheis/"</span>,</span>
+<span id="cb2-10"><a href="#cb2-10" aria-hidden="true" tabindex="-1"></a> <span class="st">"axisym_theis.prj"</span>, <span class="at">package =</span> <span class="st">"r2ogs6"</span>)</span>
+<span id="cb2-11"><a href="#cb2-11" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb2-12"><a href="#cb2-12" aria-hidden="true" tabindex="-1"></a><span class="fu">read_in_prj</span>(ogs6_obj, prj_path, <span class="at">read_in_gml =</span> T)</span></code></pre></div>
+</div>
+<div id="single-parameter-sequential-run" class="section level3">
+<h3>Single-parameter sequential run</h3>
+<p>Let’s create a small ensemble where we only alter the value of <code>storage</code>. Say we don’t want to hardcode the values, but instead examine the effects of changing <code>storage</code> by 1%, 10% and 50%. We can use the <code>percentages_mode</code> parameter of <code>OGS6_Ensemble</code> for this. It already defaults to <code>TRUE</code>, below I’m merely being explicit for demonstration purposes.</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Assign percentages</span></span>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>percentages <span class="ot"><-</span> <span class="fu">c</span>(<span class="sc">-</span><span class="dv">50</span>, <span class="sc">-</span><span class="dv">10</span>, <span class="sc">-</span><span class="dv">1</span>, <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">10</span>, <span class="dv">50</span>)</span>
+<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Define an ensemble object</span></span>
+<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a>ogs6_ens <span class="ot"><-</span> </span>
+<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a> OGS6_Ensemble<span class="sc">$</span><span class="fu">new</span>(</span>
+<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a> <span class="at">ogs6_obj =</span> ogs6_obj,</span>
+<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a> <span class="at">parameters =</span> <span class="fu">list</span>(<span class="fu">list</span>(ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">4</span>]]<span class="sc">$</span>value,</span>
+<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a> percentages)),</span>
+<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a> <span class="at">percentages_mode =</span> <span class="cn">TRUE</span>)</span></code></pre></div>
+<p>Now you can start the simulation.</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>ogs6_ens<span class="sc">$</span><span class="fu">run_simulation</span>()</span></code></pre></div>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="fu">lapply</span>(ogs6_ens<span class="sc">$</span>ensemble, ogs6_read_output_files)</span></code></pre></div>
+<div id="plot-results-for-single-simulation" class="section level4">
+<h4>Plot results for single simulation</h4>
+<p>Our simulations (hopefully) ran successfully - great! Now it’d be nice to see some results. Say we’re interested in the <code>pressure</code> data.</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co"># This will get a combined dataframe</span></span>
+<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>storage_tbl <span class="ot"><-</span> </span>
+<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a> ogs6_ens<span class="sc">$</span><span class="fu">get_point_data</span>(<span class="at">point_ids =</span> <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">2</span>),</span>
+<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a> <span class="at">keys =</span> <span class="fu">c</span>(<span class="st">"pressure"</span>))</span></code></pre></div>
+<p>You may leave out the <code>point_ids</code> parameter. It defaults to all points in the dataset - I specify it here because there’s about 500 which would slow down building this vignette.</p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Let's look at the first 10 rows of the dataset</span></span>
+<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a><span class="fu">head</span>(storage_tbl, <span class="dv">10</span>)</span>
+<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a><span class="co">#> # A tibble: 10 x 8</span></span>
+<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a><span class="co">#> id x y z pressure timestep sim_id perc</span></span>
+<span id="cb7-5"><a href="#cb7-5" aria-hidden="true" tabindex="-1"></a><span class="co">#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl></span></span>
+<span id="cb7-6"><a href="#cb7-6" aria-hidden="true" tabindex="-1"></a><span class="co">#> 1 0 0.305 0 0 0 0 1 -50</span></span>
+<span id="cb7-7"><a href="#cb7-7" aria-hidden="true" tabindex="-1"></a><span class="co">#> 2 0 0.305 0 0 6.99 8.64 1 -50</span></span>
+<span id="cb7-8"><a href="#cb7-8" aria-hidden="true" tabindex="-1"></a><span class="co">#> 3 0 0.305 0 0 9.77 86.4 1 -50</span></span>
+<span id="cb7-9"><a href="#cb7-9" aria-hidden="true" tabindex="-1"></a><span class="co">#> 4 0 0.305 0 0 13.3 1728 1 -50</span></span>
+<span id="cb7-10"><a href="#cb7-10" aria-hidden="true" tabindex="-1"></a><span class="co">#> 5 0 0.305 0 0 16.2 24192 1 -50</span></span>
+<span id="cb7-11"><a href="#cb7-11" aria-hidden="true" tabindex="-1"></a><span class="co">#> 6 0 0.305 0 0 16.6 172800 1 -50</span></span>
+<span id="cb7-12"><a href="#cb7-12" aria-hidden="true" tabindex="-1"></a><span class="co">#> 7 0 0.305 0 0 16.6 604800 1 -50</span></span>
+<span id="cb7-13"><a href="#cb7-13" aria-hidden="true" tabindex="-1"></a><span class="co">#> 8 0 0.305 0 0 16.6 864000 1 -50</span></span>
+<span id="cb7-14"><a href="#cb7-14" aria-hidden="true" tabindex="-1"></a><span class="co">#> 9 1 305. 0 0 0 0 1 -50</span></span>
+<span id="cb7-15"><a href="#cb7-15" aria-hidden="true" tabindex="-1"></a><span class="co">#> 10 1 305. 0 0 0 8.64 1 -50</span></span></code></pre></div>
+<p>You can see there’s one row per timestep for each point ID. Say we want to plot the <em>average</em> pressure for each <code>timestep</code>, that is, the mean of the <code>pressure</code> values where the rows have the same <code>timestep</code>. We’ll consider only the first simulation for now.</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Get average pressure from first simulation</span></span>
+<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a>avg_pr_first_sim <span class="ot"><-</span> storage_tbl[storage_tbl<span class="sc">$</span>sim_id <span class="sc">==</span> <span class="dv">1</span>,] <span class="sc">%>%</span> </span>
+<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">group_by</span>(timestep) <span class="sc">%>%</span></span>
+<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">summarize</span>(<span class="at">avg_pressure =</span> <span class="fu">mean</span>(pressure))</span>
+<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a><span class="co"># Plot pressure over time for first simulation</span></span>
+<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(<span class="at">data =</span> avg_pr_first_sim) <span class="sc">+</span> </span>
+<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="at">mapping =</span> <span class="fu">aes</span>(<span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="fu">row.names</span>(avg_pr_first_sim)),</span>
+<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> avg_pressure)) <span class="sc">+</span> <span class="fu">xlab</span>(<span class="st">"Timestep"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" style="display: block; margin: auto;" /></p>
+</div>
+<div id="plot-results-for-multiple-simulations" class="section level4">
+<h4>Plot results for multiple simulations</h4>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Get average pressure for all simulations</span></span>
+<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a>avg_pr_df <span class="ot"><-</span> storage_tbl <span class="sc">%>%</span></span>
+<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">group_by</span>(sim_id, timestep) <span class="sc">%>%</span></span>
+<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">summarise</span>(<span class="at">avg_pressure =</span> <span class="fu">mean</span>(pressure))</span>
+<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb9-6"><a href="#cb9-6" aria-hidden="true" tabindex="-1"></a><span class="co"># Plot pressure over time for all simulations</span></span>
+<span id="cb9-7"><a href="#cb9-7" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(avg_pr_df,</span>
+<span id="cb9-8"><a href="#cb9-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="fu">as.factor</span>(timestep)),</span>
+<span id="cb9-9"><a href="#cb9-9" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> avg_pressure)) <span class="sc">+</span></span>
+<span id="cb9-10"><a href="#cb9-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(sim_id))) <span class="sc">+</span></span>
+<span id="cb9-11"><a href="#cb9-11" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_line</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(sim_id))) <span class="sc">+</span> </span>
+<span id="cb9-12"><a href="#cb9-12" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Timestep"</span>) <span class="sc">+</span> </span>
+<span id="cb9-13"><a href="#cb9-13" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">color =</span> <span class="st">"sim id"</span>) <span class="sc">+</span></span>
+<span id="cb9-14"><a href="#cb9-14" aria-hidden="true" tabindex="-1"></a> <span class="fu">facet_grid</span>(<span class="at">rows =</span> <span class="fu">vars</span>(sim_id))</span></code></pre></div>
+<p><img 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" style="display: block; margin: auto;" /></p>
+<p>Now we have the average <code>pressure</code> over time for each of the simulations (rows). Since they’re pretty similar, let’s put them in the same plot for a better comparison.</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(avg_pr_df, <span class="fu">aes</span>(<span class="at">x =</span> <span class="fu">as.numeric</span>(<span class="fu">as.factor</span>(timestep)),</span>
+<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> avg_pressure,</span>
+<span id="cb10-3"><a href="#cb10-3" aria-hidden="true" tabindex="-1"></a> <span class="at">group =</span> sim_id)) <span class="sc">+</span></span>
+<span id="cb10-4"><a href="#cb10-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(sim_id))) <span class="sc">+</span></span>
+<span id="cb10-5"><a href="#cb10-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_line</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(sim_id))) <span class="sc">+</span> </span>
+<span id="cb10-6"><a href="#cb10-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">color =</span> <span class="st">"sim id"</span>) <span class="sc">+</span></span>
+<span id="cb10-7"><a href="#cb10-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Timestep"</span>)</span></code></pre></div>
+<p><img 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" style="display: block; margin: auto;" /></p>
+</div>
+</div>
+<div id="multi-parameter-sequential-run" class="section level3">
+<h3>Multi-parameter sequential run</h3>
+<p>So far we’ve only considered the <code>storage</code> parameter. Now we want to have a look at how the other two parameters influence the simulation, so let’s put them into an ensemble together. For <code>permeability</code> we can reuse the <code>percentages</code> we already have. For <code>porosity</code>, this doesn’t work - the original value is 1 and its values can only range between 0 and 1, so we’ll supply a shorter vector.</p>
+<p>This time it’s important we set the <code>OGS6_Ensemble</code> parameter <code>sequential_mode</code> to <code>TRUE</code> as this will change the supplied parameters <em>sequentially</em> which means in the end we have 18 (7 + 7 + 4) simulations which is equal to the sum of elements in the value vectors you supply (I’ve named them <code>values</code> below for clarity, naming them is optional though).</p>
+<p>The default <code>FALSE</code> would give an error message because our value vectors do not have the same length and even if they had, it wouldn’t do what we want - the number of simulations would equal the length of <em>one</em> value vector (thus requiring them to be of the same length). Generally, set <code>sequential_mode</code> to <code>TRUE</code> if you want to examine the influence of parameters on a simulation <em>independently</em>. If you want to examine how the parameters influence <em>each other</em> as in wanting to test parameter combinations, the default mode is the way to go.</p>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Change this to fit your system</span></span>
+<span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a>sim_path <span class="ot"><-</span> <span class="fu">paste0</span>(testdir_path, <span class="st">"/axisym_theis_sim_big"</span>)</span>
+<span id="cb11-3"><a href="#cb11-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb11-4"><a href="#cb11-4" aria-hidden="true" tabindex="-1"></a>ogs6_obj<span class="sc">$</span>sim_path <span class="ot"><-</span> sim_path</span>
+<span id="cb11-5"><a href="#cb11-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb11-6"><a href="#cb11-6" aria-hidden="true" tabindex="-1"></a>ogs6_ens_big <span class="ot"><-</span></span>
+<span id="cb11-7"><a href="#cb11-7" aria-hidden="true" tabindex="-1"></a> OGS6_Ensemble<span class="sc">$</span><span class="fu">new</span>(</span>
+<span id="cb11-8"><a href="#cb11-8" aria-hidden="true" tabindex="-1"></a> <span class="at">ogs6_obj =</span> ogs6_obj,</span>
+<span id="cb11-9"><a href="#cb11-9" aria-hidden="true" tabindex="-1"></a> <span class="at">parameters =</span> <span class="fu">list</span>(<span class="at">per =</span> <span class="fu">list</span>(ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">1</span>]]<span class="sc">$</span>value, </span>
+<span id="cb11-10"><a href="#cb11-10" aria-hidden="true" tabindex="-1"></a> <span class="at">values =</span> percentages),</span>
+<span id="cb11-11"><a href="#cb11-11" aria-hidden="true" tabindex="-1"></a> <span class="at">por =</span> <span class="fu">list</span>(ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">3</span>]]<span class="sc">$</span>value, </span>
+<span id="cb11-12"><a href="#cb11-12" aria-hidden="true" tabindex="-1"></a> <span class="fu">c</span>(<span class="sc">-</span><span class="dv">50</span>, <span class="sc">-</span><span class="dv">10</span>, <span class="sc">-</span><span class="dv">1</span>, <span class="dv">0</span>)),</span>
+<span id="cb11-13"><a href="#cb11-13" aria-hidden="true" tabindex="-1"></a> <span class="at">sto =</span> <span class="fu">list</span>(ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">4</span>]]<span class="sc">$</span>value, </span>
+<span id="cb11-14"><a href="#cb11-14" aria-hidden="true" tabindex="-1"></a> <span class="at">values =</span> percentages)),</span>
+<span id="cb11-15"><a href="#cb11-15" aria-hidden="true" tabindex="-1"></a> <span class="at">sequential_mode =</span> <span class="cn">TRUE</span>)</span></code></pre></div>
+<p>Now you can start the simulation.</p>
+<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>ogs6_ens_big<span class="sc">$</span><span class="fu">run_simulation</span>()</span></code></pre></div>
+<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="fu">lapply</span>(ogs6_ens_big<span class="sc">$</span>ensemble, ogs6_read_output_files)</span></code></pre></div>
+<p>This will take a short time. As soon as the simulations are done, we can extract the point data much like we did before. This time we want to plot the point x coodinates on the x axis so we’re leaving out <code>point_ids</code> to get all points. Also we just want the data from the last timestep.</p>
+<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Get combined dataframe</span></span>
+<span id="cb14-2"><a href="#cb14-2" aria-hidden="true" tabindex="-1"></a>per_por_sto_df <span class="ot"><-</span> </span>
+<span id="cb14-3"><a href="#cb14-3" aria-hidden="true" tabindex="-1"></a> ogs6_ens_big<span class="sc">$</span><span class="fu">get_point_data</span>(</span>
+<span id="cb14-4"><a href="#cb14-4" aria-hidden="true" tabindex="-1"></a> <span class="at">keys =</span> <span class="fu">c</span>(<span class="st">"pressure"</span>),</span>
+<span id="cb14-5"><a href="#cb14-5" aria-hidden="true" tabindex="-1"></a> <span class="at">start_at_timestep =</span> ogs6_ens_big<span class="sc">$</span>ensemble[[<span class="dv">1</span>]]<span class="sc">$</span>pvds[[<span class="dv">1</span>]]<span class="sc">$</span>last_timestep)</span></code></pre></div>
+<p>Plotting time! Since we set <code>sequential_mode</code> to <code>TRUE</code>, the dataframe we just created contains a <code>name</code> column which allows us to group by parameters. Because we’ve also set <code>percentages_mode</code> to <code>TRUE</code>, it also has a column <code>perc</code> which allows us to group by percentages. Now we can simply use a facet grid to plot.</p>
+<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Make plot</span></span>
+<span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(per_por_sto_df,</span>
+<span id="cb15-3"><a href="#cb15-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">x =</span> x,</span>
+<span id="cb15-4"><a href="#cb15-4" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="sc">-</span>pressure, <span class="co"># Flip pressure because source term was positive</span></span>
+<span id="cb15-5"><a href="#cb15-5" aria-hidden="true" tabindex="-1"></a> <span class="at">group =</span> perc)) <span class="sc">+</span></span>
+<span id="cb15-6"><a href="#cb15-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(perc))) <span class="sc">+</span></span>
+<span id="cb15-7"><a href="#cb15-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Radius (m)"</span>) <span class="sc">+</span></span>
+<span id="cb15-8"><a href="#cb15-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylab</span>(<span class="st">"Head (m)"</span>) <span class="sc">+</span></span>
+<span id="cb15-9"><a href="#cb15-9" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">color =</span> <span class="st">"%"</span>) <span class="sc">+</span></span>
+<span id="cb15-10"><a href="#cb15-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">facet_grid</span>(<span class="at">cols =</span> <span class="fu">vars</span>(name),</span>
+<span id="cb15-11"><a href="#cb15-11" aria-hidden="true" tabindex="-1"></a> <span class="at">labeller =</span> <span class="fu">as_labeller</span>(<span class="fu">c</span>(<span class="at">per =</span> <span class="st">"permeability"</span>,</span>
+<span id="cb15-12"><a href="#cb15-12" aria-hidden="true" tabindex="-1"></a> <span class="at">por =</span> <span class="st">"porosity"</span>,</span>
+<span id="cb15-13"><a href="#cb15-13" aria-hidden="true" tabindex="-1"></a> <span class="at">sto =</span> <span class="st">"storage"</span>)))</span></code></pre></div>
+<p><img 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" style="display: block; margin: auto;" /></p>
+<p>Ta-Daa! We can see <code>permeability</code> has the most influence on the pressure. Though they may seem suspicious, <code>porosity</code> and <code>storage</code> are being plotted correctly - the points are just being placed right on top of each other. Since <code>porosity</code> can’t go over the value <code>1</code> which was the original value, our value vector only went from -50% to 0% which is why the line colors of <code>porosity</code> and <code>storage</code> differ. Maybe we want to try and use a logarithmic approach for <code>storage</code>. This won’t work with the built-in functionality of <code>OGS6_Ensemble</code> so we’ll set up our Ensemble a little differently.</p>
+<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Calculate log value</span></span>
+<span id="cb16-2"><a href="#cb16-2" aria-hidden="true" tabindex="-1"></a>log_val <span class="ot"><-</span> <span class="fu">log</span>(<span class="fu">as.numeric</span>(</span>
+<span id="cb16-3"><a href="#cb16-3" aria-hidden="true" tabindex="-1"></a> ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">4</span>]]<span class="sc">$</span>value),</span>
+<span id="cb16-4"><a href="#cb16-4" aria-hidden="true" tabindex="-1"></a> <span class="at">base =</span> <span class="dv">10</span>)</span>
+<span id="cb16-5"><a href="#cb16-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb16-6"><a href="#cb16-6" aria-hidden="true" tabindex="-1"></a><span class="co"># Apply changes to log value</span></span>
+<span id="cb16-7"><a href="#cb16-7" aria-hidden="true" tabindex="-1"></a>log_vals <span class="ot"><-</span> <span class="fu">vapply</span>(percentages, <span class="cf">function</span>(x){</span>
+<span id="cb16-8"><a href="#cb16-8" aria-hidden="true" tabindex="-1"></a> log_val <span class="sc">+</span> (log_val <span class="sc">*</span> (x <span class="sc">/</span> <span class="dv">100</span>))</span>
+<span id="cb16-9"><a href="#cb16-9" aria-hidden="true" tabindex="-1"></a>}, <span class="at">FUN.VALUE =</span> <span class="fu">numeric</span>(<span class="dv">1</span>))</span>
+<span id="cb16-10"><a href="#cb16-10" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb16-11"><a href="#cb16-11" aria-hidden="true" tabindex="-1"></a><span class="co"># Transfer back to non-logarithmic scale</span></span>
+<span id="cb16-12"><a href="#cb16-12" aria-hidden="true" tabindex="-1"></a>back_transf_vals <span class="ot"><-</span> <span class="dv">10</span><span class="sc">^</span>log_vals</span>
+<span id="cb16-13"><a href="#cb16-13" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb16-14"><a href="#cb16-14" aria-hidden="true" tabindex="-1"></a><span class="co"># Change sim_path to fit your system</span></span>
+<span id="cb16-15"><a href="#cb16-15" aria-hidden="true" tabindex="-1"></a>ogs6_obj<span class="sc">$</span>sim_path <span class="ot"><-</span> <span class="fu">paste0</span>(testdir_path, <span class="st">"/axisym_theis_sim_log_storage"</span>)</span>
+<span id="cb16-16"><a href="#cb16-16" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb16-17"><a href="#cb16-17" aria-hidden="true" tabindex="-1"></a><span class="co"># Set up new ensemble</span></span>
+<span id="cb16-18"><a href="#cb16-18" aria-hidden="true" tabindex="-1"></a>ogs6_ens_sto <span class="ot"><-</span></span>
+<span id="cb16-19"><a href="#cb16-19" aria-hidden="true" tabindex="-1"></a> OGS6_Ensemble<span class="sc">$</span><span class="fu">new</span>(</span>
+<span id="cb16-20"><a href="#cb16-20" aria-hidden="true" tabindex="-1"></a> <span class="at">ogs6_obj =</span> ogs6_obj,</span>
+<span id="cb16-21"><a href="#cb16-21" aria-hidden="true" tabindex="-1"></a> <span class="at">parameters =</span></span>
+<span id="cb16-22"><a href="#cb16-22" aria-hidden="true" tabindex="-1"></a> <span class="fu">list</span>(</span>
+<span id="cb16-23"><a href="#cb16-23" aria-hidden="true" tabindex="-1"></a> <span class="at">sto =</span> <span class="fu">list</span>(</span>
+<span id="cb16-24"><a href="#cb16-24" aria-hidden="true" tabindex="-1"></a> ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">4</span>]]<span class="sc">$</span>value,</span>
+<span id="cb16-25"><a href="#cb16-25" aria-hidden="true" tabindex="-1"></a> <span class="at">values =</span> back_transf_vals)</span>
+<span id="cb16-26"><a href="#cb16-26" aria-hidden="true" tabindex="-1"></a> ),</span>
+<span id="cb16-27"><a href="#cb16-27" aria-hidden="true" tabindex="-1"></a> <span class="at">percentages_mode =</span> <span class="cn">FALSE</span>,</span>
+<span id="cb16-28"><a href="#cb16-28" aria-hidden="true" tabindex="-1"></a> <span class="at">sequential_mode =</span> <span class="cn">TRUE</span></span>
+<span id="cb16-29"><a href="#cb16-29" aria-hidden="true" tabindex="-1"></a> )</span></code></pre></div>
+<p>As before, we can run the simulation right away.</p>
+<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>ogs6_ens_sto<span class="sc">$</span><span class="fu">run_simulation</span>()</span></code></pre></div>
+<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a><span class="fu">lapply</span>(ogs6_ens_sto<span class="sc">$</span>ensemble, ogs6_read_output_files)</span></code></pre></div>
+<p>Let’s check if we can observe any influence of <code>storage</code> on <code>pressure</code> now.</p>
+<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Get combined dataframe</span></span>
+<span id="cb19-2"><a href="#cb19-2" aria-hidden="true" tabindex="-1"></a>sto_df <span class="ot"><-</span> </span>
+<span id="cb19-3"><a href="#cb19-3" aria-hidden="true" tabindex="-1"></a> ogs6_ens_sto<span class="sc">$</span><span class="fu">get_point_data</span>(</span>
+<span id="cb19-4"><a href="#cb19-4" aria-hidden="true" tabindex="-1"></a> <span class="at">keys =</span> <span class="fu">c</span>(<span class="st">"pressure"</span>),</span>
+<span id="cb19-5"><a href="#cb19-5" aria-hidden="true" tabindex="-1"></a> <span class="at">start_at_timestep =</span> ogs6_ens_sto<span class="sc">$</span>ensemble[[<span class="dv">1</span>]]<span class="sc">$</span>pvds[[<span class="dv">1</span>]]<span class="sc">$</span>last_timestep)</span>
+<span id="cb19-6"><a href="#cb19-6" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb19-7"><a href="#cb19-7" aria-hidden="true" tabindex="-1"></a><span class="co"># Supply percentages manually since we couldn't use `percentages_mode`</span></span>
+<span id="cb19-8"><a href="#cb19-8" aria-hidden="true" tabindex="-1"></a>percs <span class="ot"><-</span> <span class="fu">vapply</span>(sto_df<span class="sc">$</span>sim_id,</span>
+<span id="cb19-9"><a href="#cb19-9" aria-hidden="true" tabindex="-1"></a> <span class="cf">function</span>(x){percentages[[x]]},</span>
+<span id="cb19-10"><a href="#cb19-10" aria-hidden="true" tabindex="-1"></a> <span class="at">FUN.VALUE =</span> <span class="fu">numeric</span>(<span class="dv">1</span>))</span>
+<span id="cb19-11"><a href="#cb19-11" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb19-12"><a href="#cb19-12" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(sto_df,</span>
+<span id="cb19-13"><a href="#cb19-13" aria-hidden="true" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">x =</span> x,</span>
+<span id="cb19-14"><a href="#cb19-14" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="sc">-</span>pressure)) <span class="sc">+</span></span>
+<span id="cb19-15"><a href="#cb19-15" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(percs))) <span class="sc">+</span></span>
+<span id="cb19-16"><a href="#cb19-16" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Radius (m)"</span>) <span class="sc">+</span></span>
+<span id="cb19-17"><a href="#cb19-17" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylab</span>(<span class="st">"Head (m)"</span>) <span class="sc">+</span></span>
+<span id="cb19-18"><a href="#cb19-18" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">color =</span> <span class="st">"%"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" style="display: block; margin: auto;" /></p>
+</div>
+</div>
+<div id="theis-solution-for-well-pumping" class="section level2">
+<h2>Theis solution for well pumping</h2>
+<p>We will consider the following parameters for our sensitivity analysis:</p>
+<ul>
+<li><p><code>permeability</code></p></li>
+<li><p><code>porosity</code></p></li>
+<li><p><code>slope</code></p></li>
+</ul>
+<div id="setup-1" class="section level3">
+<h3>Setup</h3>
+<p>First, we create a simulation object to base our ensemble on and read in the <code>.prj</code> file. This time we want to specify that an output file only gets written at the last timestep.</p>
+<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Change this to fit your system</span></span>
+<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a>sim_path <span class="ot"><-</span> <span class="fu">paste0</span>(testdir_path, <span class="st">"/theis_sim"</span>)</span>
+<span id="cb20-3"><a href="#cb20-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb20-4"><a href="#cb20-4" aria-hidden="true" tabindex="-1"></a>ogs6_obj <span class="ot"><-</span> OGS6<span class="sc">$</span><span class="fu">new</span>(<span class="at">sim_name =</span> <span class="st">"theis"</span>,</span>
+<span id="cb20-5"><a href="#cb20-5" aria-hidden="true" tabindex="-1"></a> <span class="at">sim_path =</span> sim_path)</span>
+<span id="cb20-6"><a href="#cb20-6" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb20-7"><a href="#cb20-7" aria-hidden="true" tabindex="-1"></a><span class="co"># Change this to fit your system</span></span>
+<span id="cb20-8"><a href="#cb20-8" aria-hidden="true" tabindex="-1"></a>prj_path <span class="ot"><-</span> <span class="fu">system.file</span>(<span class="st">"extdata/benchmarks/theis_well_pumping/"</span>,</span>
+<span id="cb20-9"><a href="#cb20-9" aria-hidden="true" tabindex="-1"></a> <span class="st">"theis.prj"</span>, <span class="at">package =</span> <span class="st">"r2ogs6"</span>)</span>
+<span id="cb20-10"><a href="#cb20-10" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb20-11"><a href="#cb20-11" aria-hidden="true" tabindex="-1"></a><span class="fu">read_in_prj</span>(ogs6_obj, prj_path, <span class="at">read_in_gml =</span> T)</span>
+<span id="cb20-12"><a href="#cb20-12" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb20-13"><a href="#cb20-13" aria-hidden="true" tabindex="-1"></a><span class="co"># Increase each_steps</span></span>
+<span id="cb20-14"><a href="#cb20-14" aria-hidden="true" tabindex="-1"></a>ogs6_obj<span class="sc">$</span>time_loop<span class="sc">$</span>output<span class="sc">$</span>timesteps<span class="sc">$</span>pair<span class="sc">$</span>each_steps <span class="ot"><-</span> <span class="dv">200</span></span></code></pre></div>
+</div>
+<div id="multi-parameter-sequential-run-1" class="section level3">
+<h3>Multi-parameter sequential run</h3>
+<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Assign percentages</span></span>
+<span id="cb21-2"><a href="#cb21-2" aria-hidden="true" tabindex="-1"></a>percentages <span class="ot"><-</span> <span class="fu">c</span>(<span class="sc">-</span><span class="dv">50</span>, <span class="sc">-</span><span class="dv">10</span>, <span class="sc">-</span><span class="dv">1</span>, <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">10</span>, <span class="dv">50</span>)</span>
+<span id="cb21-3"><a href="#cb21-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb21-4"><a href="#cb21-4" aria-hidden="true" tabindex="-1"></a>ogs6_ens_theis_2 <span class="ot"><-</span></span>
+<span id="cb21-5"><a href="#cb21-5" aria-hidden="true" tabindex="-1"></a> OGS6_Ensemble<span class="sc">$</span><span class="fu">new</span>(</span>
+<span id="cb21-6"><a href="#cb21-6" aria-hidden="true" tabindex="-1"></a> <span class="at">ogs6_obj =</span> ogs6_obj,</span>
+<span id="cb21-7"><a href="#cb21-7" aria-hidden="true" tabindex="-1"></a> <span class="at">parameters =</span></span>
+<span id="cb21-8"><a href="#cb21-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">list</span>(</span>
+<span id="cb21-9"><a href="#cb21-9" aria-hidden="true" tabindex="-1"></a> <span class="at">per =</span> <span class="fu">list</span>(ogs6_obj<span class="sc">$</span>parameters[[<span class="dv">3</span>]]<span class="sc">$</span>values,</span>
+<span id="cb21-10"><a href="#cb21-10" aria-hidden="true" tabindex="-1"></a> <span class="at">values =</span> percentages),</span>
+<span id="cb21-11"><a href="#cb21-11" aria-hidden="true" tabindex="-1"></a> <span class="at">por =</span> <span class="fu">list</span>(ogs6_obj<span class="sc">$</span>parameters[[<span class="dv">2</span>]]<span class="sc">$</span>value,</span>
+<span id="cb21-12"><a href="#cb21-12" aria-hidden="true" tabindex="-1"></a> <span class="at">values =</span> percentages),</span>
+<span id="cb21-13"><a href="#cb21-13" aria-hidden="true" tabindex="-1"></a> <span class="at">slo =</span> <span class="fu">list</span>(</span>
+<span id="cb21-14"><a href="#cb21-14" aria-hidden="true" tabindex="-1"></a> ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>phases[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">1</span>]]<span class="sc">$</span>independent_variable[[<span class="dv">2</span>]]<span class="sc">$</span>slope,</span>
+<span id="cb21-15"><a href="#cb21-15" aria-hidden="true" tabindex="-1"></a> <span class="at">values =</span> percentages)</span>
+<span id="cb21-16"><a href="#cb21-16" aria-hidden="true" tabindex="-1"></a> ),</span>
+<span id="cb21-17"><a href="#cb21-17" aria-hidden="true" tabindex="-1"></a> <span class="at">sequential_mode =</span> <span class="cn">TRUE</span></span>
+<span id="cb21-18"><a href="#cb21-18" aria-hidden="true" tabindex="-1"></a> )</span></code></pre></div>
+<p>Now you can start the simulation.</p>
+<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a>ogs6_ens_theis_2<span class="sc">$</span><span class="fu">run_simulation</span>()</span></code></pre></div>
+<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a><span class="fu">lapply</span>(ogs6_ens_theis_2<span class="sc">$</span>ensemble, ogs6_read_output_files)</span></code></pre></div>
+<p>When the simulations have run, we can extract and plot the results like before. To avoid cluttering the plot, we only extract the <code>pressure</code> values for a single line. For this, we get the IDs of all points on the x axis.</p>
+<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Extract point ids</span></span>
+<span id="cb24-2"><a href="#cb24-2" aria-hidden="true" tabindex="-1"></a>get_point_ids_x <span class="ot"><-</span> <span class="cf">function</span>(points){</span>
+<span id="cb24-3"><a href="#cb24-3" aria-hidden="true" tabindex="-1"></a> x_axis_ids <span class="ot"><-</span> <span class="fu">numeric</span>()</span>
+<span id="cb24-4"><a href="#cb24-4" aria-hidden="true" tabindex="-1"></a> </span>
+<span id="cb24-5"><a href="#cb24-5" aria-hidden="true" tabindex="-1"></a> <span class="cf">for</span>(i <span class="cf">in</span> <span class="fu">seq_len</span>(<span class="fu">dim</span>(points)[[<span class="dv">1</span>]])) {</span>
+<span id="cb24-6"><a href="#cb24-6" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span> (points[i, ][[<span class="dv">2</span>]] <span class="sc">==</span> <span class="dv">0</span> <span class="sc">&&</span> points[i, ][[<span class="dv">3</span>]] <span class="sc">==</span> <span class="dv">0</span>) {</span>
+<span id="cb24-7"><a href="#cb24-7" aria-hidden="true" tabindex="-1"></a> x_axis_ids <span class="ot"><-</span> <span class="fu">c</span>(x_axis_ids, (i <span class="sc">-</span> <span class="dv">1</span>))</span>
+<span id="cb24-8"><a href="#cb24-8" aria-hidden="true" tabindex="-1"></a> }</span>
+<span id="cb24-9"><a href="#cb24-9" aria-hidden="true" tabindex="-1"></a> }</span>
+<span id="cb24-10"><a href="#cb24-10" aria-hidden="true" tabindex="-1"></a> </span>
+<span id="cb24-11"><a href="#cb24-11" aria-hidden="true" tabindex="-1"></a> <span class="fu">return</span>(x_axis_ids)</span>
+<span id="cb24-12"><a href="#cb24-12" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb24-13"><a href="#cb24-13" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb24-14"><a href="#cb24-14" aria-hidden="true" tabindex="-1"></a>point_ids_x <span class="ot"><-</span> <span class="fu">get_point_ids_x</span>(</span>
+<span id="cb24-15"><a href="#cb24-15" aria-hidden="true" tabindex="-1"></a> ogs6_ens_theis_2<span class="sc">$</span>ensemble[[<span class="dv">1</span>]]<span class="sc">$</span>pvds[[<span class="dv">1</span>]]<span class="sc">$</span>OGS6_vtus[[<span class="dv">1</span>]]<span class="sc">$</span>points)</span>
+<span id="cb24-16"><a href="#cb24-16" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb24-17"><a href="#cb24-17" aria-hidden="true" tabindex="-1"></a><span class="co"># Get combined dataframe</span></span>
+<span id="cb24-18"><a href="#cb24-18" aria-hidden="true" tabindex="-1"></a>per_por_slo_df <span class="ot"><-</span> </span>
+<span id="cb24-19"><a href="#cb24-19" aria-hidden="true" tabindex="-1"></a> ogs6_ens_theis_2<span class="sc">$</span><span class="fu">get_point_data</span>(</span>
+<span id="cb24-20"><a href="#cb24-20" aria-hidden="true" tabindex="-1"></a> <span class="at">point_ids =</span> point_ids_x,</span>
+<span id="cb24-21"><a href="#cb24-21" aria-hidden="true" tabindex="-1"></a> <span class="at">keys =</span> <span class="fu">c</span>(<span class="st">"pressure"</span>),</span>
+<span id="cb24-22"><a href="#cb24-22" aria-hidden="true" tabindex="-1"></a> <span class="at">start_at_timestep =</span> ogs6_ens_theis_2<span class="sc">$</span>ensemble[[<span class="dv">1</span>]]<span class="sc">$</span>pvds[[<span class="dv">1</span>]]<span class="sc">$</span>last_timestep)</span></code></pre></div>
+<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Make plot</span></span>
+<span id="cb25-2"><a href="#cb25-2" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(per_por_slo_df,</span>
+<span id="cb25-3"><a href="#cb25-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">x =</span> x,</span>
+<span id="cb25-4"><a href="#cb25-4" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> pressure <span class="sc">/</span> <span class="fl">9806.65</span>, <span class="co"># 1mH2O = 9806.65 kPa</span></span>
+<span id="cb25-5"><a href="#cb25-5" aria-hidden="true" tabindex="-1"></a> <span class="at">group =</span> perc)) <span class="sc">+</span></span>
+<span id="cb25-6"><a href="#cb25-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(perc))) <span class="sc">+</span></span>
+<span id="cb25-7"><a href="#cb25-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Radius (m)"</span>) <span class="sc">+</span></span>
+<span id="cb25-8"><a href="#cb25-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylab</span>(<span class="st">"Absenkung (m)"</span>) <span class="sc">+</span></span>
+<span id="cb25-9"><a href="#cb25-9" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">color =</span> <span class="st">"%"</span>) <span class="sc">+</span></span>
+<span id="cb25-10"><a href="#cb25-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">facet_grid</span>(<span class="at">cols =</span> <span class="fu">vars</span>(name),</span>
+<span id="cb25-11"><a href="#cb25-11" aria-hidden="true" tabindex="-1"></a> <span class="at">labeller =</span> <span class="fu">as_labeller</span>(<span class="fu">c</span>(<span class="at">per =</span> <span class="st">"permeability"</span>,</span>
+<span id="cb25-12"><a href="#cb25-12" aria-hidden="true" tabindex="-1"></a> <span class="at">por =</span> <span class="st">"porosity"</span>,</span>
+<span id="cb25-13"><a href="#cb25-13" aria-hidden="true" tabindex="-1"></a> <span class="at">slo =</span> <span class="st">"slope"</span></span>
+<span id="cb25-14"><a href="#cb25-14" aria-hidden="true" tabindex="-1"></a> )))</span></code></pre></div>
+<p><img 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" style="display: block; margin: auto;" /></p>
+<p>Let’s take a closer look at <code>permeability</code>.</p>
+<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" aria-hidden="true" tabindex="-1"></a>per_df <span class="ot"><-</span> <span class="fu">subset</span>(per_por_slo_df, name <span class="sc">==</span> <span class="st">"per"</span>)</span>
+<span id="cb26-2"><a href="#cb26-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb26-3"><a href="#cb26-3" aria-hidden="true" tabindex="-1"></a><span class="co"># Make plot</span></span>
+<span id="cb26-4"><a href="#cb26-4" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(per_df,</span>
+<span id="cb26-5"><a href="#cb26-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">x =</span> x,</span>
+<span id="cb26-6"><a href="#cb26-6" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> pressure)) <span class="sc">+</span></span>
+<span id="cb26-7"><a href="#cb26-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(perc))) <span class="sc">+</span></span>
+<span id="cb26-8"><a href="#cb26-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Radius (m)"</span>) <span class="sc">+</span></span>
+<span id="cb26-9"><a href="#cb26-9" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylab</span>(<span class="st">"Head (m)"</span>) <span class="sc">+</span></span>
+<span id="cb26-10"><a href="#cb26-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">color =</span> <span class="st">"%"</span>)</span></code></pre></div>
+<p><img 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" style="display: block; margin: auto;" /></p>
+<p>Maybe we want to try and use a logarithmic approach for <code>slope</code>. This won’t work with the built-in functionality of <code>OGS6_Ensemble</code> so we’ll set up our Ensemble a little differently.</p>
+<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="#cb27-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Calculate log value</span></span>
+<span id="cb27-2"><a href="#cb27-2" aria-hidden="true" tabindex="-1"></a>log_val <span class="ot"><-</span> <span class="fu">log</span>(<span class="fu">as.numeric</span>(</span>
+<span id="cb27-3"><a href="#cb27-3" aria-hidden="true" tabindex="-1"></a> ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>phases[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">1</span>]]<span class="sc">$</span>independent_variable[[<span class="dv">2</span>]]<span class="sc">$</span>slope),</span>
+<span id="cb27-4"><a href="#cb27-4" aria-hidden="true" tabindex="-1"></a> <span class="at">base =</span> <span class="dv">10</span>)</span>
+<span id="cb27-5"><a href="#cb27-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb27-6"><a href="#cb27-6" aria-hidden="true" tabindex="-1"></a><span class="co"># Apply changes to log value</span></span>
+<span id="cb27-7"><a href="#cb27-7" aria-hidden="true" tabindex="-1"></a>log_vals <span class="ot"><-</span> <span class="fu">vapply</span>(percentages, <span class="cf">function</span>(x){</span>
+<span id="cb27-8"><a href="#cb27-8" aria-hidden="true" tabindex="-1"></a> log_val <span class="sc">+</span> (log_val <span class="sc">*</span> (x <span class="sc">/</span> <span class="dv">100</span>))</span>
+<span id="cb27-9"><a href="#cb27-9" aria-hidden="true" tabindex="-1"></a>}, <span class="at">FUN.VALUE =</span> <span class="fu">numeric</span>(<span class="dv">1</span>))</span>
+<span id="cb27-10"><a href="#cb27-10" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb27-11"><a href="#cb27-11" aria-hidden="true" tabindex="-1"></a><span class="co"># Transfer back to non-logarithmic scale</span></span>
+<span id="cb27-12"><a href="#cb27-12" aria-hidden="true" tabindex="-1"></a>back_transf_vals <span class="ot"><-</span> <span class="dv">10</span><span class="sc">^</span>log_vals</span>
+<span id="cb27-13"><a href="#cb27-13" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb27-14"><a href="#cb27-14" aria-hidden="true" tabindex="-1"></a><span class="co"># Change sim_path to fit your system</span></span>
+<span id="cb27-15"><a href="#cb27-15" aria-hidden="true" tabindex="-1"></a>ogs6_obj<span class="sc">$</span>sim_path <span class="ot"><-</span> <span class="fu">paste0</span>(testdir_path, <span class="st">"/theis_sim_log_slope"</span>)</span>
+<span id="cb27-16"><a href="#cb27-16" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb27-17"><a href="#cb27-17" aria-hidden="true" tabindex="-1"></a><span class="co"># Set up new ensemble</span></span>
+<span id="cb27-18"><a href="#cb27-18" aria-hidden="true" tabindex="-1"></a>ogs6_ens_slo <span class="ot"><-</span></span>
+<span id="cb27-19"><a href="#cb27-19" aria-hidden="true" tabindex="-1"></a> OGS6_Ensemble<span class="sc">$</span><span class="fu">new</span>(</span>
+<span id="cb27-20"><a href="#cb27-20" aria-hidden="true" tabindex="-1"></a> <span class="at">ogs6_obj =</span> ogs6_obj,</span>
+<span id="cb27-21"><a href="#cb27-21" aria-hidden="true" tabindex="-1"></a> <span class="at">parameters =</span></span>
+<span id="cb27-22"><a href="#cb27-22" aria-hidden="true" tabindex="-1"></a> <span class="fu">list</span>(</span>
+<span id="cb27-23"><a href="#cb27-23" aria-hidden="true" tabindex="-1"></a> <span class="at">slo =</span> <span class="fu">list</span>(</span>
+<span id="cb27-24"><a href="#cb27-24" aria-hidden="true" tabindex="-1"></a> ogs6_obj<span class="sc">$</span>media[[<span class="dv">1</span>]]<span class="sc">$</span>phases[[<span class="dv">1</span>]]<span class="sc">$</span>properties[[<span class="dv">1</span>]]<span class="sc">$</span>independent_variable[[<span class="dv">2</span>]]<span class="sc">$</span>slope,</span>
+<span id="cb27-25"><a href="#cb27-25" aria-hidden="true" tabindex="-1"></a> <span class="at">values =</span> back_transf_vals)</span>
+<span id="cb27-26"><a href="#cb27-26" aria-hidden="true" tabindex="-1"></a> ),</span>
+<span id="cb27-27"><a href="#cb27-27" aria-hidden="true" tabindex="-1"></a> <span class="at">percentages_mode =</span> <span class="cn">FALSE</span>,</span>
+<span id="cb27-28"><a href="#cb27-28" aria-hidden="true" tabindex="-1"></a> <span class="at">sequential_mode =</span> <span class="cn">TRUE</span></span>
+<span id="cb27-29"><a href="#cb27-29" aria-hidden="true" tabindex="-1"></a> )</span></code></pre></div>
+<p>As before, we can run the simulation right away.</p>
+<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" aria-hidden="true" tabindex="-1"></a>ogs6_ens_slo<span class="sc">$</span><span class="fu">run_simulation</span>()</span></code></pre></div>
+<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1" aria-hidden="true" tabindex="-1"></a><span class="fu">lapply</span>(ogs6_ens_slo<span class="sc">$</span>ensemble, ogs6_read_output_files)</span></code></pre></div>
+<p>Let’s check if we can observe any influence of <code>slope</code> on <code>pressure</code> now.</p>
+<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb30-1"><a href="#cb30-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Filter point ids</span></span>
+<span id="cb30-2"><a href="#cb30-2" aria-hidden="true" tabindex="-1"></a>point_ids_x <span class="ot"><-</span> <span class="fu">get_point_ids_x</span>(</span>
+<span id="cb30-3"><a href="#cb30-3" aria-hidden="true" tabindex="-1"></a> ogs6_ens_slo<span class="sc">$</span>ensemble[[<span class="dv">1</span>]]<span class="sc">$</span>pvds[[<span class="dv">1</span>]]<span class="sc">$</span>OGS6_vtus[[<span class="dv">1</span>]]<span class="sc">$</span>points)</span>
+<span id="cb30-4"><a href="#cb30-4" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb30-5"><a href="#cb30-5" aria-hidden="true" tabindex="-1"></a><span class="co"># Get combined dataframe</span></span>
+<span id="cb30-6"><a href="#cb30-6" aria-hidden="true" tabindex="-1"></a>slo_df <span class="ot"><-</span> </span>
+<span id="cb30-7"><a href="#cb30-7" aria-hidden="true" tabindex="-1"></a> ogs6_ens_slo<span class="sc">$</span><span class="fu">get_point_data</span>(</span>
+<span id="cb30-8"><a href="#cb30-8" aria-hidden="true" tabindex="-1"></a> <span class="at">point_ids =</span> point_ids_x,</span>
+<span id="cb30-9"><a href="#cb30-9" aria-hidden="true" tabindex="-1"></a> <span class="at">keys =</span> <span class="fu">c</span>(<span class="st">"pressure"</span>),</span>
+<span id="cb30-10"><a href="#cb30-10" aria-hidden="true" tabindex="-1"></a> <span class="at">start_at_timestep =</span> ogs6_ens_slo<span class="sc">$</span>ensemble[[<span class="dv">1</span>]]<span class="sc">$</span>pvds[[<span class="dv">1</span>]]<span class="sc">$</span>last_timestep)</span>
+<span id="cb30-11"><a href="#cb30-11" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb30-12"><a href="#cb30-12" aria-hidden="true" tabindex="-1"></a><span class="co"># Supply percentages manually since we couldn't use `percentages_mode`</span></span>
+<span id="cb30-13"><a href="#cb30-13" aria-hidden="true" tabindex="-1"></a>percs <span class="ot"><-</span> <span class="fu">vapply</span>(slo_df<span class="sc">$</span>sim_id,</span>
+<span id="cb30-14"><a href="#cb30-14" aria-hidden="true" tabindex="-1"></a> <span class="cf">function</span>(x){percentages[[x]]},</span>
+<span id="cb30-15"><a href="#cb30-15" aria-hidden="true" tabindex="-1"></a> <span class="at">FUN.VALUE =</span> <span class="fu">numeric</span>(<span class="dv">1</span>))</span>
+<span id="cb30-16"><a href="#cb30-16" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb30-17"><a href="#cb30-17" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(slo_df,</span>
+<span id="cb30-18"><a href="#cb30-18" aria-hidden="true" tabindex="-1"></a> <span class="fu">aes</span>(<span class="at">x =</span> x,</span>
+<span id="cb30-19"><a href="#cb30-19" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> pressure <span class="sc">/</span> <span class="fl">9806.65</span>)) <span class="sc">+</span> <span class="co"># 1mH2O = 9806.65 kPa</span></span>
+<span id="cb30-20"><a href="#cb30-20" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>(<span class="fu">aes</span>(<span class="at">color =</span> <span class="fu">as.factor</span>(percs))) <span class="sc">+</span></span>
+<span id="cb30-21"><a href="#cb30-21" aria-hidden="true" tabindex="-1"></a> <span class="fu">xlab</span>(<span class="st">"Radius (m)"</span>) <span class="sc">+</span></span>
+<span id="cb30-22"><a href="#cb30-22" aria-hidden="true" tabindex="-1"></a> <span class="fu">ylab</span>(<span class="st">"Head (m)"</span>) <span class="sc">+</span></span>
+<span id="cb30-23"><a href="#cb30-23" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">color =</span> <span class="st">"%"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" style="display: block; margin: auto;" /></p>
+</div>
+</div>
+<div id="summary" class="section level2">
+<h2>Summary</h2>
+<p>The <code>OGS6_Ensemble</code> class is a useful tool to set up ensemble runs for sensitivity analyses. In this vignette, we learned how to create <code>OGS6_Ensemble</code> objects. We looked at how the parameters <code>sequential_mode</code> and <code>percentages_mode</code> influence how our ensemble object is initialised. We started simulations via <code>OGS6_Ensemble$run_simulation()</code> and extracted information from the output files to plot them.</p>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
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+ var script = document.createElement("script");
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+ document.getElementsByTagName("head")[0].appendChild(script);
+ })();
+</script>
+
+</body>
+</html>
diff --git a/inst/vignettes_built/user_workflow_vignette.html b/inst/vignettes_built/user_workflow_vignette.html
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+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+
+<meta name="author" content="Ruben Heinrich" />
+
+
+<title>r2ogs6 User Guide</title>
+
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YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY%2FiOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v%2B6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ%2FqDQK%2BbfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam%2BWpHG%2B0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3%2BJ1eCBay8IYZ0wQRKGAqvCuZ%2FUgbQPyllosq%2BXtfKIZOzmeJqRazpmmoP%2F76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t%2FI4Jktu0XSgifO2ozFOiwd%2F0SssJDn0dn4xqk4GDTTKX73%2FwQyBLdqgJ%2BWx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy%2FqqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh%2FwkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml%2FR4yrzow1Q2A5G%2Bkzo%2FRhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj%2FUMMc34IBqTKLDTp76WzL%2FdMjCxK7MjhiGjeYAC%2Fkj%2FjY%2FRde7hpSM1xChrog6yZ7OWTuD56xBJnGFE%2BpT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G%2B9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36%2FdBySis4m9%2FDR8izaLJW6bWCkVgm5T%2Bius3ZXq4xI%2BGnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te%2Fr4dPYMCl5qtiHNTn%2BTPbh1jCBHH%2BdMJNhwNgs3nT%2BOhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF%2BuRIWyXjQMAs2chdpaKPNaB%2BkSezYt0%2BCA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6%2FTzoA1%2FZBG9bIUVHLAbi%2FkdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh%2Bepgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF%2BzkJHIA7PwCDk1gGVmGUZSSoPhNf%2BTklauz98QofOlCIQ%2FtCD4dosHYPqtPCXB3agggQQIqQJsSkB%2Bqn0rkQ1toJjON%2FOtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU%2BTQ6NIw3ej%2BAtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb%2B%2BW6Uk4q6F7%2Frg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK%2BEfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l%2BwM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l%2BDMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg%2BEWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb%2BMw76Qy29iQ5up%2FX7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa%2FxnsMYcIO%2FvEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz%2FChp%2FVlpj2P7jJQmQRwGnltkTV5dbF9fE3%2FfxoSqTROgq9wFUlbuYzYcasE0ouzBo%2BdDCDzxKAfhbAZYxQiHrLzV2iVexnDX%2FQnT1fsT%2Fxuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR%2BCtGdkPwYN2o7DOw%2FVGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO%2Ff9Qua%2BpDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD%2FprQ84B1pVGkIpVUAHCG%2Biz3Bn3qm2AVrYcYWhock4jso5%2BJ7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk%2BUILT7%2BVoX5mdxxA5fS42gISQVi%2FHTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8%2F6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk%2FwdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt%2BSu9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ%2FBfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk%2Fgc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B%2F%2FlHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO%2BCvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd%2Fp1gi%2F07h8qfwHrByuSxglc9cI4QIg2oqvC%2Fqm0i7tjPLTgDhoWTAKDO2ONW5oe%2B%2FeKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2%2Fj4ODUwRkqrtBBCrDsDpt8jhZdXoy%2F1BCqw3sSGhgGGy0a5Jw6BP%2FTExoCmNFYjZl248A0osgPyGEmRA%2BfAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd%2FocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE%2FEZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ%2FUgd%2FJZQK8lvAm43uDRAbyW8gZ%2BZGq0EVerVGUKUSm%2FIdn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ%2BQATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm%2BoOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724%2BzUQ7%2BvkCpZB%2BpGA562hYQiDxHVWOq0oDQl%2FQsoiY%2BcuI7iWq%2FZIBtHcXJ7kks%2Bh2fCNUPA82BzjnqktNts%2BRLdk1VSu%2BtqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy%2F44XYXdI5noQoRcvjZ1RMPACRqYg2V1%2BOwOepcOknRLLFdYgTkT5UApt%2FJhLM3jeFYprZV%2BZow2g8fP%2BU68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr%2FA1SY9dXFz4RjzoU9ExfJCmx%2FI9FKEGT3n2cmzl2X42L3Jh%2BAbQq6sA%2BSs1kitoa4TAYgKHaoybHUDJ51oETdeI%2F9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB%2BUn44zExFE4vLytcu5NwpWrUxO%2F0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL%2BBDqMyaN3RJPh%2Fanbx%2BIv%2BqgQdAa3M9Z5JmvYlh4qop%2BHo1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs%2Bgs37sFvi0PPVvA5dnCBgILTwoKd%2F%2BDoL9F6inlM7H4rOTzD79KJgKlZO%2FZgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno%2BgBoKVXgIL%2FVI8dB1O5o%2FR3Suez%2FgD7M781ShjKpIIORM%2FnxG%2BjjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4%2FQftDbEn%2BAucIr1oxrLabRj9q4ae0%2BfXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd%2BeNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz%2F6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT%2BmAUmiYbV3YQVqFVp9dorv%2BTsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp%2BxJyYLv1OsxQCZwTB4a8BZ%2F5EdxTBJthApqyfd9u3ifr%2FWILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj%2Fqn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9%2BW8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4%2FYtowhEmTs0vrvlD%2FCrisnoBNDAcUi%2FteY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O%2F4DcgV%2FdZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk%2BtgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb%2Fn7qwhvGnrHuf5bX6Vh%2Fn3xffU3PeHdR%2BFA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E%2BYbfL0adwNtHP7dT7t7b46DVZIkzaRJOM%2BS6KcrzYVg%2BT3wSRFRQashjfU18NutrKa%2F7PXbtuJvpIjbgPeqd%2BpjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir%2F8tNXJ%2FOsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG%2BFZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx%2FGdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD%2FQi%2FEmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4%2FasthNMK5UQKCOhU97oaOYNGsTah%2BjfCKsZnTRn5TbhFX8ghg8CBYt%2FBjeYYYUrtUZ5jVij%2Fop7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM%2B3SW6Opll%2FwgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy%2BQbSKVJcqkia%2BGvDefFwMOmgnD7h81TUtMn%2BmRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d%2FQK7Cr4uoCeOQ7%2F8JfKT77KiDzLImESHw%2F0wf73QeHu74hxv7uihi4fTX%2BXEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo%2FoVH5ww5OzLFsiTPDns7fS6EURSSWd%2F92BxMYQ8sBaH%2Bj%2BwthQPdVgDGpTfi%2BJQIWMD8xKqULliRH01rTeyF8x8q%2FGBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE%2B%2F7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV%2FyTDRRP8Y2ww5RO6d2D94o%2B6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt%2Bkqdae76ViWe3STan69yaF9%2BfESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw%2FA1zEdjWquIsQXXGIVEH0thC5M%2BW9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF%2BRVmI8L4HUYk4x%2B67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8%2Fp5qIQrEo%2FH%2B1l%2F0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud%2BtJUfdaZ4CWNijzZtlRa8%2BCkmO%2FEwHYfPZFU%2FhzjFWH7vnzHRMo%2BaF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce%2F%2B%2F9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs%2FGWJS6SwEN%2FULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e%2BG2zor8l%2BYaMxSEomDdLHGcD6YVQPegTaA74H8%2BV4WvJkFUrjMLGLlvSZQWvi8%2FQA7yzQ8GPno%2F%2F5SJHRP%2FOqKObPCo81s%2F%2B6WgLqykYpGAgQZhVDEBPXWgU%2FWzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M%2BGWn6ASobIWC%2BLbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg%2Fkpf3%2BCnAXKiMgIE8Jk%2FMhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo%2BRJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B%2BSkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE%2BVMd3b1fhCynD0pQNhCG6%2FWCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp%2FYbHjo%2B%2B7%2FWj8S4YNa%2BZdqAw1hDrKWFXv9%2BzaXpf8ZTDSbiqsxnwN%2FCzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m%2FNCW%2FHILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO%2B5EJ7Z6bCiRoPedRZ%2FP0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn%2FLvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl%2B11PoFYnNv2HwAODeNRkHj%2B8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij%2BbsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur%2FeWHjiB7SOVdqMAVmpBvfRiebsFjger7DC%2B8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l%2BkXRZ0KLZaGsFSIdQz%2FHXDxf3%2FTE30%2BDgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH%2BRptvRMVRaahu4cySjS3P5wxAUCPkmn%2BrhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik%2FzbrTQk5KmgxCg%2Ff45L0jywebOWUYFJQAJia7XzCV0x89rpp%2Ff3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl%2B5tfUWZNwBpEPXghzbBggYCw%2Fdhy0ntds2yeHCDKkF%2FYxQjNIL%2FF%2F37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD%2BqNOhwMlfARQUdJ2tUX%2BMNJqOwIciWalZsmEjt07tfa8ma4cji9sqz%2BQ9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe%2BjGDiNJQLWnfx%2BdrTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf%2Fbkvo8PLVBsZl152y5S8%2BHRDfZIMCbYZ1WDp4yrdchOJw8k6R%2B%2F2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB%2BM4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5%2FiYp3ZdrCf7fL%2Ben%2BsIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv%2BNRiJc8JAKqqgCA%2FPNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN%2FhCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj%2BbYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5%2FzBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8%2Fi%2BjHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2%2BJrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk%2BMz7wwstg6RFZb%2BTZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm%2F7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk%2B9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx%2BwhVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC%2BXYuqMBMUun5YezKbRKmEPwuK%2BCLzijPEQgfhahQswBBLfg%2FGBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX%2BRCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk%2F4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug%2FAbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM%2BZu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX%2FpcsfwXbLze2%2BD%2Bu33OGBoJyAAL3jn3RuEcdp5If8O%2Ba4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT%2B%2Btm%2BhaBCikRUUMrMhYKZJKYoVuv%2FbsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV%2FDMUxd9uFZmBfKXMCn%2FSqkWJyKPnT6lq%2B4zBZni6fYRByJn6OK%2BOgPBGRAJluwGSk4wxjOOzyce%2FPKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO%2FcEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm%2BbddRQu5F9s0XftGEJ9JSuSk%2BZachCbdU45fEqbugzTIUokwoAKvpUQF%2FCvLbWW5BNQFqFkJg2f30E%2F48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J%2B1pT0tLkvFVZaNzfhs%2FKd3%2BA9YsImlO4XK4vpCo%2FelHQi%2F9gkFg07xxnuXLt21unCIpDV%2BbbRxb7FC6nWYTsMFF8%2B1LUg4JFjVt3vqbuhHmDKbgQ4e%2BRGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB%2FKVijd1ARWkFEf3yiUw1v%2FWaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G%2BZManTqDLPjyrOse7WiiwOJCG%2BJ0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj%2F6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j%2FN46f%2BS2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb%2F0jQbaHJ2YRK8A%2Bls6WMhWmpCXYG5jqapGs5%2FeOJErxi2%2F2KWVHiPellTgh%2FfNl%2F2KYPKb7DUcAg%2BmCOPQFCiU9Mq%2FWLcU1xxC8aLePFZZlE%2BPCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh%2FnFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW%2BoKFLvpyvTBMM69tN1Ydwv1LIEhHsC%2BueVG%2Bw%2BkyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw%2BH%2FAuOx%2BaH%2BtBL88H57D0MsqyiZxhOEQkF%2F8DR1d2hSPMj%2FsNOa5rxcUnBgH8ictv2J%2Bcb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd%2FPjMMtQfyDNZsOPd6XcAsnBE%2FmRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl%2FXPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG%2FVanIvcwycVA7%2BBE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP%2FMVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX%2F5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c%2FF1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J%2F5wkjpkre727p5PTRX5FGrSBIfJqhJE%2FIS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug%2BoRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U%2F5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7%2FBQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN%2BnA7pvF78%2FRII5ZHA09OAiE%2F66MF6HQ%2BqVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe%2BhXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz%2BJV%2F4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB%2BK3wBP%2FineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q%2F9uocGsx41O4IZhViw%2F2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY%2FcQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE%2Fom7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi%2FcaHSM3FPRGRf7dB7YC%2BcD2ho6oL2zGDCkjlf%2FDFoQVl8GS%2F56wur3rdV6ggtzZW60MRB3g%2BU1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg%2FgBQIZMG%2FYcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK%2FG7F3mUc3GOAKqh60zM0v34v%2BELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND%2B%2FGTk6M56Ig4yMsU6LUW1EWE%2BfIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP%2FIoRIZ%2FF6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg%2FRrPD%2Fd3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl%2BMu4xf0ezqeXD2PtPDnwMPo86sbwDV%2B9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD%2FOwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d%2FUfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH%2B14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC%2BOA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6%2BvAUUBoGhY3CT2tgwehdPqU%2F4Q7ZLYvhRl%2FogOvR9O2%2BwkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn%2FdFSWBWzQ%2FVYk%2BGezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n%2FyJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET%2FHh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j%2BDXfpi12m1RbzYLg9J2wFergEwOxFyD0%2FJstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT%2FcUP6pE%2FmujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB%2BHEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu%2BvqQ02%2BKpJBjaLt9ye1Ab%2BBbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC%2BUwkXOoAjneU%2FxHplMQo2cXUlrVNqJYczgYlaOEczVCs%2FOCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38%2BxsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9%2Bb8fH6%2Bb8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj%2F0Q7PFUcC8hDrxESWdfgFRm%2B7vvWbkEppHB4T%2F1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y%2Bg3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR%2FRrs%2FJLKXgEx%2BqkmeDlFOD1%2FyTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW%2Bxz%2B5FElFxWB28VjYIGZ0Yd%2B5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ%2BlT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ%2B2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1%2BJpI9psyNYIFuJogZa0%2F1AhOWdlHQxdAgbwacsHqPZo8u%2FngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2%2BRdM%2BMAaYaZ0Y%2FADkbNCZuAyAVQa2OcXOeICmDn9Q%2FeFkDeFQg5MgHEDXq%2FtVjj%2Bjtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2%2FBc0UxvseQCO2pQ2i%2BKrfhu%2FWeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt%2FU0Wf%2BphiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7%2BExseJauyqo30hs%2B1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j%2Fe1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la%2FQCTiVelFnU6O%2FGCvykqS%2FwZJDhKN9gBtSOp%2F1SP5VRgJcoVj%2Bkmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn%2B8p6%2BvBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H%2BgDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D%2FGvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P%2BjAgN5TB3haSifDcApp6yymEi6Ij%2FGsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x%2FpChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11%2Fyxyw0UnGig3MFdZklN5FI%2FqiT65T%2BjOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5%2BbqWiAYiAv6Jsf79%2FVUs4cIl%2Bn6%2BWOjcgB%2F2l5TreoAV2717JzZbQIR0W1cl%2FdEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW%2FPhoawJDrGAP0JYWHgAVUByo%2FbGdiv2T2EMg8gsS14%2FrAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq%2BSCcTSx5NDtbFwNlh8VhjGGDu7JG5%2FTAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9%2BogD8Kk%2FW7QoRN1UWPqM4%2BxdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c%2B4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS%2Bo3F8YVVeikw13w%2BOEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX%2B%2B7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9%2FO53DYi%2F5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD%2BP8sNh6e%2BXYHJXT%2FlkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp%2BpT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS%2F2ToPjqkaq62%2F7WFG8advGlRRqxB9diP07JrXowKR9tpRa%2BjGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq%2Bnsp3YMuXt%2FGkXxLx%2FP6%2BZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar%2BgMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud%2BYlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl%2Fzh575R5rsrmRnKAzq4POFdgbYBuEviM4%2BLVC15ssLNFghbTtHWerS1hDt5s4qkLUha%2FqpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI%2ByjEldJfSo4y0QhG4i4IwkRFGcjWY8%2BEzgYYJUK7BXQksLxAww%2FYYWBMhJILB9e8ePEJ4OP7z%2B4%2FwOQDl64iOYDp26DaONPxpKtBxq%2FaTzRGarm3VkPYTLJKx6Z%2FMw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ%2BlPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k%2FUuGkNpP1DBI5ch%2FEehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv%2BJ41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI%2BHYexTUevLUeta4%2FDqKrbMVS%2BYqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ%2B%2BKkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9%2FWx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k%2F90B8%2ByRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB%2FmQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go%2Fn6j0cS%2Ba2gEU8gIHJ%2BBwfgZX4GL%2BBd%2FgW34FZ%2BBS%2FgUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh%2FF062yJ7AAAAEDAWAAABWhJ%2BKPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cn04AAEFNAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAIAAAAAAAAAAAEAAAAAAAAAJxJ%2FLAAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAA5ADsAUABTACAAMAAwADEALgAwADAAOQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAKncAE0TAE0ZAEbuFM3pjM%2FSEdmjKHUbyow8ATBE40IvWA3vTu8LiABDQ%2BpexwUMcm1SMnNryctQSiI1K5ZnbOlXKmnVV5YvRe6RnNMFNCOs1KNVpn6yZhCJkRtVRNzEufeIq7HgSrcx4S8h%2Fv4vnrrKc6oCNxmSk2uKlZQHBii6iKFoH0746ThvkO1kJHlxjrkxs%2BLWORaDQBEtiYJIR5IB9Bi1UyL4Rmr0BNigNkMzlKQmnofBHviqVzUxwdMb3NdCn69hy%2BpRYVKGVS%2F1tnsqv4LL7wCCPZZAZPT4aCShHjHJVNuXbmMrY5LeQaGnvAkXlVrJgKRAUdFjrWEah9XebPeQMj7KS7DIBAFt8ycgC5PLGUOHSE3ErGZCiViNLL5ZARfywnCoZaKQCu6NuFX42AEeKtKUGnr%2FCm2Cy8tpFhBPMW5Fxi4Qm4TkDWh4IWFDClhU2hRWosUWqcKLlgyXB%2BlSHaWaHiWlBAR8SeSgSPCQxdVQgzUixWKSTrIQEbU94viDctkvX%2BVSjJuUmV8L4CXShI11esnp0pjWNZIyxKHS4wVQ2ime1P4RnhvGw0aDN1OLAXGERsB7buFpFGGBAre4QEQR0HOIO5oYH305G%2BKspT%2FFupEGGafCCwxSe6ZUa%2B073rXHnNdVXE6eWvibUS27XtRzkH838mYLMBmYysZTM0EM3A1fbpCBYFccN1B%2FEnCYu%2FTgCGmr7bMh8GfYL%2BBfcLvB0gRagC09w9elfldaIy%2FhNCBLRgBgtCC7jAF63wLSMAfbfAlEggYU0bUA7ACCJmTDpEmJtI78w4%2FBO7dN7JR7J7ZvbYaUbaILSQsRBiF3HGk5fEg6p9unwLvn98r%2BvnsV%2B372uf1xBLq4qU%2F45fTuqaAP%2BpssmCCCTF0mhEow8ZXZOS8D7Q85JsxZ%2BAzok7B7O%2Ff6J8AzYBySZQB%2FQHYUSA%2BEeQhEWiS6AIQzgcsDiER4MjgMBAWDV4AgQ3g1eBgIdweCQmCjJEMkJ%2BPKRWyFHHmg1Wi%2F6xzUgA0LREoKJChwnQa9B%2B5RQZRB3IlBlkAnxyQNaANwHMowzlYSMCBgnbpzvqpl0iTJNCQidDI9ZrSYNIRBhHtUa5YHMHxyGEik9hDE0AKj72AbTCaxtHPUaKZdAZSnQTyjGqGLsmBStCejApUhg4uBMU6mATujEl%2BKdDPbI6Ag4vLr%2BhjY6lbjBeoLKnZl0UZgRX8gTySOeynZVz1wOq7e1hFGYIq%2BMhrGxDLak0PrwYzSXtcuyhXEhwOYofiW%2BEcI%2Fjw8P6IY6ed%2BetAbuqKp5QIapT77LnAe505lMuqL79a0ut4rWexzFttsOsLDy7zvtQzcq3U1qabe7tB0wHWVXji%2BzDbo8x8HyIRUbXnwUcklFv51fvTymiV%2BMXLSmGH9d9%2BaXpD5X6lao41anWGig7IwIdnoBY2ht%2FpO9mClLo4NdXHAsefqWUKlXJkbqPOFhMoR4aiA1BXqhRNbB2Xwi%2B7u%2FjpAoOpKJ0UX24EsrzMfHXViakCNcKjBxuQX8BO0ZqjJ3xXzf%2B61t2VXOSgJ8xu65QKgtN6FibPmPYsXbJRHHqbgATcSZxBqGiDiU4NNNsYBsKD0MIP%2FOfKnlk%2FLkaid%2FO2NbKeuQrwOB2Gq3YHyr6ALgzym5wIBnsdC1ZkoBFZSQXChZvlesPqvK2c5oHHT3Q65jYpNxnQcGF0EHbvYqoFw60WNlXIHQF2HQB7zD6lWjZ9rVqUKBXUT6hrkZOle0RFYII0V5ZYGl1JAP0Ud1fZZMvSomBzJ710j4Me8mjQDwEre5Uv2wQfk1ifDwb5ksuJQQ3xt423lbuQjvoIQByQrNDh1JxGFkOdlJvu%2FgFtuW0wR4cgd%2BZKesSV7QkNE2kw6AV4hoIuC02LGmTomyf8PiO6CZzOTLTPQ%2BHW06H%2Btx%2BbQ8LmDYg1pTFrp2oJXgkZTyeRJZM0C8aE2LpFrNVDuhARsN543%2FFV6klQ6Tv1OoZGXLv0igKrl%2FCmJxRmX7JJbJ998VSIPQRyDBICzl4JJlYHbdql30NvYcOuZ7a10uWRrgoieOdgIm4rlq6vNOQBuqESLbXG5lzdJGHw2m0sDYmODXbYGTfSTGRKpssTO95fothJCjUGQgEL4yKoGAF%2F0SrpUDNn8CBgBcSDQByAeNkCXp4S4Ro2Xh4OeaGRgR66PVOsU8bc6TR5%2FxTcn4IVMLOkXSWiXxkZQCbvKfmoAvQaKjO3EDKwkwqHChCDEM5loQRPd5ACBki1TjF772oaQhQbQ5C0lcWXPFOzrfsDGUXGrpxasbG4iab6eByaQkQfm0VFlP0ZsDkvvqCL6QXMUwCjdMx1ZOyKhTJ7a1GWAdOUcJ8RSejxNVyGs31OKMyRyBVoZFjqIkmKlLQ5eHMeEL4MkUf23cQ%2F1SgRCJ1dk4UdBT7OoyuNgLs0oCd8RnrEIb6QdMxT2QjD4zMrJkfgx5aDMcA4orsTtKCqWb%2FVeyceqa5OGSmB28YwH4rFbkQaLoUN8OQQYnD3w2eXpI4ScQfbCUZiJ4yMOIKLyyTc7BQ4uXUw6Ee6%2FxM%2B4Y67ngNBknxIPwuppgIhFcwJyr6EIj%2BLzNj%2FmfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h%2FC%2FPkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn%2FpdpgHKNGrGIdkRK%2BKPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho%2BEIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA%2Bq%2Fj9m3LM%2FO7WJka4tSidVCjsvo2lQ%2F2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3%2F5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho%2FbcwQdeboqfQartuU3CsCf%2BcXkgYAqp%2F0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid%2FNIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A%2BTRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC%2BJE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW%2FWDHA60cYFaI%2FPjpzquUqdaYGcIq%2BmLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC%2B1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A%2BP%2FoFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E%2FvwOiKxRtCWsDM%2BeTHUrmwrCK5BIfMzGkD%2B0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3%2FkFutpQGNc3pCR7gvC4sgwbupDu3DyEN%2BW6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc%2Bh1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0%2BbC5zgpGz7Io%2BmjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO%2FENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn%2B3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif%2BpZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx%2Fk3QgnAFSq27%2F2i4GEBA%2BUvTJKK%2F9eISNvG46Em5RZfjTYLdeD8kdXHyrwId%2FDQZUaMCY4gGbke2C8vfjgV%2FY9kkRQOJIn%2FxM9INZSpiBnqX0Q9GlQPpPKAyO5y%2BW5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W%2FN6l54qOynCqD3DpWQ%2BmpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE%2B7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv%2F8lbTIkkYpqKM9VOhp65ktYk%2BQ46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI%2BejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5%2B7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu%2Bvtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY%2FiOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v%2B6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ%2FqDQK%2BbfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam%2BWpHG%2B0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3%2BJ1eCBay8IYZ0wQRKGAqvCuZ%2FUgbQPyllosq%2BXtfKIZOzmeJqRazpmmoP%2F76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t%2FI4Jktu0XSgifO2ozFOiwd%2F0SssJDn0dn4xqk4GDTTKX73%2FwQyBLdqgJ%2BWx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy%2FqqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh%2FwkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml%2FR4yrzow1Q2A5G%2Bkzo%2FRhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj%2FUMMc34IBqTKLDTp76WzL%2FdMjCxK7MjhiGjeYAC%2Fkj%2FjY%2FRde7hpSM1xChrog6yZ7OWTuD56xBJnGFE%2BpT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G%2B9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36%2FdBySis4m9%2FDR8izaLJW6bWCkVgm5T%2Bius3ZXq4xI%2BGnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te%2Fr4dPYMCl5qtiHNTn%2BTPbh1jCBHH%2BdMJNhwNgs3nT%2BOhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF%2BuRIWyXjQMAs2chdpaKPNaB%2BkSezYt0%2BCA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6%2FTzoA1%2FZBG9bIUVHLAbi%2FkdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh%2Bepgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF%2BzkJHIA7PwCDk1gGVmGUZSSoPhNf%2BTklauz98QofOlCIQ%2FtCD4dosHYPqtPCXB3agggQQIqQJsSkB%2Bqn0rkQ1toJjON%2FOtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU%2BTQ6NIw3ej%2BAtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb%2B%2BW6Uk4q6F7%2Frg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK%2BEfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l%2BwM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l%2BDMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg%2BEWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb%2BMw76Qy29iQ5up%2FX7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa%2FxnsMYcIO%2FvEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz%2FChp%2FVlpj2P7jJQmQRwGnltkTV5dbF9fE3%2FfxoSqTROgq9wFUlbuYzYcasE0ouzBo%2BdDCDzxKAfhbAZYxQiHrLzV2iVexnDX%2FQnT1fsT%2Fxuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR%2BCtGdkPwYN2o7DOw%2FVGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO%2Ff9Qua%2BpDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD%2FprQ84B1pVGkIpVUAHCG%2Biz3Bn3qm2AVrYcYWhock4jso5%2BJ7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk%2BUILT7%2BVoX5mdxxA5fS42gISQVi%2FHTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8%2F6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk%2FwdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt%2BSu9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ%2FBfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk%2Fgc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B%2F%2FlHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO%2BCvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd%2Fp1gi%2F07h8qfwHrByuSxglc9cI4QIg2oqvC%2Fqm0i7tjPLTgDhoWTAKDO2ONW5oe%2B%2FeKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2%2Fj4ODUwRkqrtBBCrDsDpt8jhZdXoy%2F1BCqw3sSGhgGGy0a5Jw6BP%2FTExoCmNFYjZl248A0osgPyGEmRA%2BfAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd%2FocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE%2FEZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ%2FUgd%2FJZQK8lvAm43uDRAbyW8gZ%2BZGq0EVerVGUKUSm%2FIdn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ%2BQATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm%2BoOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724%2BzUQ7%2BvkCpZB%2BpGA562hYQiDxHVWOq0oDQl%2FQsoiY%2BcuI7iWq%2FZIBtHcXJ7kks%2Bh2fCNUPA82BzjnqktNts%2BRLdk1VSu%2BtqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy%2F44XYXdI5noQoRcvjZ1RMPACRqYg2V1%2BOwOepcOknRLLFdYgTkT5UApt%2FJhLM3jeFYprZV%2BZow2g8fP%2BU68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr%2FA1SY9dXFz4RjzoU9ExfJCmx%2FI9FKEGT3n2cmzl2X42L3Jh%2BAbQq6sA%2BSs1kitoa4TAYgKHaoybHUDJ51oETdeI%2F9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB%2BUn44zExFE4vLytcu5NwpWrUxO%2F0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL%2BBDqMyaN3RJPh%2Fanbx%2BIv%2BqgQdAa3M9Z5JmvYlh4qop%2BHo1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs%2Bgs37sFvi0PPVvA5dnCBgILTwoKd%2F%2BDoL9F6inlM7H4rOTzD79KJgKlZO%2FZgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno%2BgBoKVXgIL%2FVI8dB1O5o%2FR3Suez%2FgD7M781ShjKpIIORM%2FnxG%2BjjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4%2FQftDbEn%2BAucIr1oxrLabRj9q4ae0%2BfXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd%2BeNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz%2F6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT%2BmAUmiYbV3YQVqFVp9dorv%2BTsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp%2BxJyYLv1OsxQCZwTB4a8BZ%2F5EdxTBJthApqyfd9u3ifr%2FWILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj%2Fqn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9%2BW8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4%2FYtowhEmTs0vrvlD%2FCrisnoBNDAcUi%2FteY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O%2F4DcgV%2FdZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk%2BtgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb%2Fn7qwhvGnrHuf5bX6Vh%2Fn3xffU3PeHdR%2BFA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E%2BYbfL0adwNtHP7dT7t7b46DVZIkzaRJOM%2BS6KcrzYVg%2BT3wSRFRQashjfU18NutrKa%2F7PXbtuJvpIjbgPeqd%2BpjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir%2F8tNXJ%2FOsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG%2BFZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx%2FGdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD%2FQi%2FEmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4%2FasthNMK5UQKCOhU97oaOYNGsTah%2BjfCKsZnTRn5TbhFX8ghg8CBYt%2FBjeYYYUrtUZ5jVij%2Fop7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM%2B3SW6Opll%2FwgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy%2BQbSKVJcqkia%2BGvDefFwMOmgnD7h81TUtMn%2BmRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d%2FQK7Cr4uoCeOQ7%2F8JfKT77KiDzLImESHw%2F0wf73QeHu74hxv7uihi4fTX%2BXEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo%2FoVH5ww5OzLFsiTPDns7fS6EURSSWd%2F92BxMYQ8sBaH%2Bj%2BwthQPdVgDGpTfi%2BJQIWMD8xKqULliRH01rTeyF8x8q%2FGBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE%2B%2F7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV%2FyTDRRP8Y2ww5RO6d2D94o%2B6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt%2Bkqdae76ViWe3STan69yaF9%2BfESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw%2FA1zEdjWquIsQXXGIVEH0thC5M%2BW9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF%2BRVmI8L4HUYk4x%2B67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8%2Fp5qIQrEo%2FH%2B1l%2F0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud%2BtJUfdaZ4CWNijzZtlRa8%2BCkmO%2FEwHYfPZFU%2FhzjFWH7vnzHRMo%2BaF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce%2F%2B%2F9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs%2FGWJS6SwEN%2FULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e%2BG2zor8l%2BYaMxSEomDdLHGcD6YVQPegTaA74H8%2BV4WvJkFUrjMLGLlvSZQWvi8%2FQA7yzQ8GPno%2F%2F5SJHRP%2FOqKObPCo81s%2F%2B6WgLqykYpGAgQZhVDEBPXWgU%2FWzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M%2BGWn6ASobIWC%2BLbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg%2Fkpf3%2BCnAXKiMgIE8Jk%2FMhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo%2BRJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B%2BSkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE%2BVMd3b1fhCynD0pQNhCG6%2FWCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp%2FYbHjo%2B%2B7%2FWj8S4YNa%2BZdqAw1hDrKWFXv9%2BzaXpf8ZTDSbiqsxnwN%2FCzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m%2FNCW%2FHILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO%2B5EJ7Z6bCiRoPedRZ%2FP0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn%2FLvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl%2B11PoFYnNv2HwAODeNRkHj%2B8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij%2BbsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur%2FeWHjiB7SOVdqMAVmpBvfRiebsFjger7DC%2B8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l%2BkXRZ0KLZaGsFSIdQz%2FHXDxf3%2FTE30%2BDgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH%2BRptvRMVRaahu4cySjS3P5wxAUCPkmn%2BrhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik%2FzbrTQk5KmgxCg%2Ff45L0jywebOWUYFJQAJia7XzCV0x89rpp%2Ff3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl%2B5tfUWZNwBpEPXghzbBggYCw%2Fdhy0ntds2yeHCDKkF%2FYxQjNIL%2FF%2F37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD%2BqNOhwMlfARQUdJ2tUX%2BMNJqOwIciWalZsmEjt07tfa8ma4cji9sqz%2BQ9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe%2BjGDiNJQLWnfx%2BdrTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf%2Fbkvo8PLVBsZl152y5S8%2BHRDfZIMCbYZ1WDp4yrdchOJw8k6R%2B%2F2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB%2BM4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5%2FiYp3ZdrCf7fL%2Ben%2BsIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv%2BNRiJc8JAKqqgCA%2FPNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN%2FhCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj%2BbYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5%2FzBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8%2Fi%2BjHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2%2BJrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk%2BMz7wwstg6RFZb%2BTZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm%2F7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk%2B9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx%2BwhVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC%2BXYuqMBMUun5YezKbRKmEPwuK%2BCLzijPEQgfhahQswBBLfg%2FGBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX%2BRCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk%2F4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug%2FAbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM%2BZu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX%2FpcsfwXbLze2%2BD%2Bu33OGBoJyAAL3jn3RuEcdp5If8O%2Ba4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT%2B%2Btm%2BhaBCikRUUMrMhYKZJKYoVuv%2FbsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV%2FDMUxd9uFZmBfKXMCn%2FSqkWJyKPnT6lq%2B4zBZni6fYRByJn6OK%2BOgPBGRAJluwGSk4wxjOOzyce%2FPKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO%2FcEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm%2BbddRQu5F9s0XftGEJ9JSuSk%2BZachCbdU45fEqbugzTIUokwoAKvpUQF%2FCvLbWW5BNQFqFkJg2f30E%2F48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J%2B1pT0tLkvFVZaNzfhs%2FKd3%2BA9YsImlO4XK4vpCo%2FelHQi%2F9gkFg07xxnuXLt21unCIpDV%2BbbRxb7FC6nWYTsMFF8%2B1LUg4JFjVt3vqbuhHmDKbgQ4e%2BRGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB%2FKVijd1ARWkFEf3yiUw1v%2FWaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G%2BZManTqDLPjyrOse7WiiwOJCG%2BJ0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj%2F6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j%2FN46f%2BS2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb%2F0jQbaHJ2YRK8A%2Bls6WMhWmpCXYG5jqapGs5%2FeOJErxi2%2F2KWVHiPellTgh%2FfNl%2F2KYPKb7DUcAg%2BmCOPQFCiU9Mq%2FWLcU1xxC8aLePFZZlE%2BPCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh%2FnFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW%2BoKFLvpyvTBMM69tN1Ydwv1LIEhHsC%2BueVG%2Bw%2BkyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw%2BH%2FAuOx%2BaH%2BtBL88H57D0MsqyiZxhOEQkF%2F8DR1d2hSPMj%2FsNOa5rxcUnBgH8ictv2J%2Bcb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd%2FPjMMtQfyDNZsOPd6XcAsnBE%2FmRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl%2FXPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG%2FVanIvcwycVA7%2BBE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP%2FMVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX%2F5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c%2FF1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J%2F5wkjpkre727p5PTRX5FGrSBIfJqhJE%2FIS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug%2BoRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U%2F5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7%2FBQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN%2BnA7pvF78%2FRII5ZHA09OAiE%2F66MF6HQ%2BqVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe%2BhXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz%2BJV%2F4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB%2BK3wBP%2FineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q%2F9uocGsx41O4IZhViw%2F2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY%2FcQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE%2Fom7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi%2FcaHSM3FPRGRf7dB7YC%2BcD2ho6oL2zGDCkjlf%2FDFoQVl8GS%2F56wur3rdV6ggtzZW60MRB3g%2BU1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg%2FgBQIZMG%2FYcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK%2FG7F3mUc3GOAKqh60zM0v34v%2BELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND%2B%2FGTk6M56Ig4yMsU6LUW1EWE%2BfIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP%2FIoRIZ%2FF6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg%2FRrPD%2Fd3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl%2BMu4xf0ezqeXD2PtPDnwMPo86sbwDV%2B9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD%2FOwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d%2FUfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH%2B14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC%2BOA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6%2BvAUUBoGhY3CT2tgwehdPqU%2F4Q7ZLYvhRl%2FogOvR9O2%2BwkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn%2FdFSWBWzQ%2FVYk%2BGezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n%2FyJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET%2FHh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j%2BDXfpi12m1RbzYLg9J2wFergEwOxFyD0%2FJstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT%2FcUP6pE%2FmujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB%2BHEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu%2BvqQ02%2BKpJBjaLt9ye1Ab%2BBbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC%2BUwkXOoAjneU%2FxHplMQo2cXUlrVNqJYczgYlaOEczVCs%2FOCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38%2BxsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9%2Bb8fH6%2Bb8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj%2F0Q7PFUcC8hDrxESWdfgFRm%2B7vvWbkEppHB4T%2F1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y%2Bg3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR%2FRrs%2FJLKXgEx%2BqkmeDlFOD1%2FyTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW%2Bxz%2B5FElFxWB28VjYIGZ0Yd%2B5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ%2BlT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ%2B2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1%2BJpI9psyNYIFuJogZa0%2F1AhOWdlHQxdAgbwacsHqPZo8u%2FngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2%2BRdM%2BMAaYaZ0Y%2FADkbNCZuAyAVQa2OcXOeICmDn9Q%2FeFkDeFQg5MgHEDXq%2FtVjj%2Bjtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2%2FBc0UxvseQCO2pQ2i%2BKrfhu%2FWeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt%2FU0Wf%2BphiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7%2BExseJauyqo30hs%2B1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j%2Fe1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la%2FQCTiVelFnU6O%2FGCvykqS%2FwZJDhKN9gBtSOp%2F1SP5VRgJcoVj%2Bkmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn%2B8p6%2BvBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H%2BgDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D%2FGvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P%2BjAgN5TB3haSifDcApp6yymEi6Ij%2FGsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x%2FpChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11%2Fyxyw0UnGig3MFdZklN5FI%2FqiT65T%2BjOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5%2BbqWiAYiAv6Jsf79%2FVUs4cIl%2Bn6%2BWOjcgB%2F2l5TreoAV2717JzZbQIR0W1cl%2FdEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW%2FPhoawJDrGAP0JYWHgAVUByo%2FbGdiv2T2EMg8gsS14%2FrAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq%2BSCcTSx5NDtbFwNlh8VhjGGDu7JG5%2FTAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9%2BogD8Kk%2FW7QoRN1UWPqM4%2BxdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c%2B4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS%2Bo3F8YVVeikw13w%2BOEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX%2B%2B7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9%2FO53DYi%2F5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD%2BP8sNh6e%2BXYHJXT%2FlkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp%2BpT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS%2F2ToPjqkaq62%2F7WFG8advGlRRqxB9diP07JrXowKR9tpRa%2BjGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq%2Bnsp3YMuXt%2FGkXxLx%2FP6%2BZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar%2BgMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud%2BYlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl%2Fzh575R5rsrmRnKAzq4POFdgbYBuEviM4%2BLVC15ssLNFghbTtHWerS1hDt5s4qkLUha%2FqpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI%2ByjEldJfSo4y0QhG4i4IwkRFGcjWY8%2BEzgYYJUK7BXQksLxAww%2FYYWBMhJILB9e8ePEJ4OP7z%2B4%2FwOQDl64iOYDp26DaONPxpKtBxq%2FaTzRGarm3VkPYTLJKx6Z%2FMw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ%2BlPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k%2FUuGkNpP1DBI5ch%2FEehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv%2BJ41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI%2BHYexTUevLUeta4%2FDqKrbMVS%2BYqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ%2B%2BKkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9%2FWx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k%2F90B8%2ByRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB%2FmQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go%2Fn6j0cS%2Ba2gEU8gIHJ%2BBwfgZX4GL%2BBd%2FgW34FZ%2BBS%2FgUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh%2FF062yJ7AAAAEDAWAAABWhJ%2BKPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Ffont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFuAAA8AAAAAsVwAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABWAAAABwAAAAcbSqX3EdERUYAAAF0AAAAHwAAACABRAAET1MvMgAAAZQAAABFAAAAYGe5a4ljbWFwAAAB3AAAAsAAAAZy2q3jgWN2dCAAAAScAAAABAAAAAQAKAL4Z2FzcAAABKAAAAAIAAAACP%2F%2FAANnbHlmAAAEqAAATRcAAJSkfV3Cb2hlYWQAAFHAAAAANAAAADYFTS%2FYaGhlYQAAUfQAAAAcAAAAJApEBBFobXR4AABSEAAAAU8AAAN00scgYGxvY2EAAFNgAAACJwAAAjBv%2B5XObWF4cAAAVYgAAAAgAAAAIAFqANhuYW1lAABVqAAAAZ4AAAOisyygm3Bvc3QAAFdIAAAELQAACtG6o%2BU1d2ViZgAAW3gAAAAGAAAABsMYVFAAAAABAAAAAMw9os8AAAAA0HaBdQAAAADQdnOXeNpjYGRgYOADYgkGEGBiYGRgZBQDkixgHgMABUgASgB42mNgZulmnMDAysDCzMN0gYGBIQpCMy5hMGLaAeQDpRCACYkd6h3ux%2BDAoPD%2FP%2FOB%2FwJAdSIM1UBhRiQlCgyMADGWCwwAAAB42u2UP2hTQRzHf5ekaVPExv6JjW3fvTQ0sa3QLA5xylBLgyBx0gzSWEUaXbIoBBQyCQGHLqXUqYNdtIIgIg5FHJxEtwqtpbnfaV1E1KFaSvX5vVwGEbW6OPngk8%2FvvXfv7pt3v4SImojIDw6BViKxRgIVBaZwVdSv%2BxvXA%2BIuzqcog2cOkkvDNE8Lbqs74k64i%2B5Sf3u8Z2AnIRLbyVCyTflVSEXVoEqrrMqrgiqqsqqqWQ5xlAc5zWOc5TwXucxVnuE5HdQhHdFRHdNJndZZndeFLc%2FzsKJLQ%2FWV6BcrCdWkwspVKZVROaw0qUqqoqZZcJhdTnGGxznHBS5xhad5VhNWCuturBTXKZ3RObuS98pb9c57k6ql9rp2v1as5deb1r6s9q1GV2IrHSt73T631424YXzjgPwqt%2BRn%2BVG%2BlRvyirwsS%2FKCPCfPytPypDwhj8mjctRZd9acF86y89x55jxxHjkPnXstXfbt%2FpNjj%2FnwXW%2BcHa6%2FSYvZ7yEwbDYazDcIgoUGzY3h2HtqgUcs1AFPWKgTXrRQF7xkoQhRf7uF9hPFeyzUTTSwY6EoUUJY6AC8bSGMS4Ys1Au3WaiPSGGsMtkdGH2rzJgYHAaYjxIwQqtB1CnYkEZ9BM6ALOpROAfyqI%2FDBQudgidBETXuqRIooz4DV0AV9UV4GsyivkTEyMMmw1UYGdhkuAYjA5sMGMvIwCbDDRgZeAz1TXgcmDy3YeRhk%2BcOjCxsMjyAkYFNhscwMrDJ8BQ2886gXoaRhedQvyTSkDZ7uA6HLLQBI5vGntAbGHugTc53cMxC7%2BE4SKL%2BACOzNpk3YWTWJid%2BiRo5NXIKM3fBItAPW55FdJLY3FeHBDr90606JCIU9Jk%2BMs3%2FY%2F8L8jUq3y79bJ%2F0%2F%2BROoP4v9v%2F4%2Fmj%2Bi7HBXUd0%2FelU6IHfHt8Aj9EPGAAoAvgAAAAB%2F%2F8AAnjaxb0JfBvVtTA%2BdxaN1hltI1m2ZVuSJVneLVlSHCdy9oTEWchqtrBEJRAgCYEsQNhC2EsbWmpI2dqkQBoSYgKlpaQthVL0yusrpW77aEubfq%2Fly%2BujvJampSTW5Dvnzmi1E%2Bjr%2F%2F3%2BXmbu3Llz77nnbuece865DMu0MAy5jGtiOEZkOp8lTNeUwyLP%2FDH%2BrEH41ZTDHAtB5lkOowWMPiwayNiUwwTjE46AI5xwhFrINPXYn%2F7ENY0dbWHfZAiTZbL8ID%2FInAd5xz2NpIH4STpDGonHIJNE3OP1KG4ISaSNeBuITAyRLgIxoiEUhFAnmUpEiXSRSGqAQEw0kuyFUIb0k2gnGSApyBFi0il2SI5YLGb5MdFjXCey4mNHzQ7WwLGEdZiPPgYR64we8THZHAt%2BwnT84D%2Fx8YTpGPgheKH4CMEDVF9xBOIeP3EbQgGH29BGgpGkIxCMTCW9qUTA0Zsir%2BQUP1mt%2BP2KusevwIO6Bx%2FIaj8%2FOD5O0VNrZW2EsqZBWbO1skRiEKE0DdlKKaSVO5VAuRpqk8VQJAqY7ydxaK44YJvrO2EWjOoDBoFYzQbDNkON%2BUbiKoRkywMWWf1j4bEY2iIY1AeMgvmEz%2FkVo9v4FSc%2FaMZMrFbjl4zWLL0%2BY5FlyzNlEVYDudJohg8gPUP7kcB%2Fmn%2BG6cd%2B5PV4Q72dXCgocWJADBgUuDTwiXiGSyZo14HOEQ2lE6k0XDIEusexDzZOMXwt1Dutz%2BtqmxTvlskNWXXUQIbhaurum9GrePqm9Yaeabjkiqf%2BbUvzDOvb2Y1E%2BEX2DnemcTP%2FzLcuu7xjQXdAtjR0Lo5n4%2FHs%2FGtntMlysHt%2B29NXbH6se%2F%2FWbFcyu%2Br28H0MwzI30DYeYTLMXIA2EG8QlHpAsyS0EfEToR0a3utIxFPJ3kiIHCCrZ66b0e2xEmL1dM9YN%2FMwS5p01N5jMX%2FBLKt%2F1R83l0LyC29M6%2BiYxo%2FUNg%2FEF7c2WyyW5tYl8WnhWg2%2FhyySbD5UhnDyS7OcU0dnrFw%2BDfGdI7v4QfYIIzOMq9hFtY55gmvC7jZ2FK7sEdrn6IXBuucYhjsGdQ8z0yEbWkkczjjsE5hNAIZrPx2zOLZDmKNXcXtg7EMqidAEEWg%2BSJCBBNwxvxJfc%2FbZa%2BKKf%2BxoKZybnq5vaqpPTye7CiF%2BZFjxZ8%2F7Qij0hfOG%2FcowPA1rT1l4ymWnrKmxxqfErTVrpgwPlz1kC%2BOy8NMDz6c%2BIO38K%2Fx0xkPnLW8Kx6qGAoQdL%2BTD9V9rb%2B%2Fctn%2F%2Ftrxz8dUrZrD%2Fzk%2FferF0cNt1BzctmX2FZPXt%2FjnFCQNz4Ah%2FiKllGiCMs1w5Lkg0kiEwj6VTXCDKsX9rMpnvIj9pcDecXAIXMnqn2dTUbN6w0XQ9ue6FV%2FnnXCH7S3lPWGltVcLsH75ub3ab7A8M28caNrIeOr3o5Q0yFsYL80xaa0EY%2FUEczV7icUMY5pnelAkmUAXmHYjvFWFGxuqlSaow3OM%2B%2FiYY7%2Fl%2FhVELF4EjRqNR%2FbvRbOY%2BDUGzGR%2FOh3EqmE%2FugIQQguGt%2FeMYz%2F%2BL0cimjeZfQDI3phXMbMQsqH%2BCjwVz%2Fhf4idHovgVmB8gLvjbicDcC%2FNypP536E%2F9N%2FpuMibExdohBmNwyiaZdJGoigos7GpF222xrfnZhML%2F7Z%2BylaqP63Hr%2Bm7bdUkQ6%2F2cXqdfmvwixY%2Bs2ksXFeXcE%2BiX0Z%2BIow76DBNgjJ7TOdUK18iPsPflfQD%2BDPsZG2Aj9VmKMMJ4fYRrhIaxhTDR0Elh2vA6h%2FAE6xUb29mj3sjmL72petXjejPy%2Boel60M99tFduCI59N3221xe7apOvxs6aHs7vab1IqY2tv7q2xsHeHGml%2FcV06u%2F8S%2FxTjJ%2BJYc0bWEX0ukW6YmIbGkJRMdjJ9mYIH5QIdJF4hvRGyK7cC7ctImQRcUET99fGXOoft35GYLMQu%2Bg2smnkgZUrH8AL%2F9Si217IssJ916nv14ZrJrvdxLkQvrvtBcjgPC0NXOicO8Qf4mcxPqh3hgUw3DDfdvLJXngg7N3dN2zbPJSaed3OfZnMU7dvmznp3C3bruO%2BNmue0LFsy7S%2B6265%2BfCKFYdvvuW6vmlblnUI8xCXp37CrOZv4B9gauDBlYp7adcUXB5DNCwYImlXOJJKkAdvExXxVvKEYnCo%2B3eIskP9qrrfIYs71CccBjfXRC52udTHHdaP1A1ui%2FVvH1otbrLrpNXBsGX5B89QghDyimlvNB2KfkxZ5C9%2Fem3%2Bd1%2Bd%2F%2FIfFp2%2B2Oxn%2Fs%2B9n%2F79p39S3s8idN6g0yZObwJOgKUpNB3GyU0Ls0PbRzIRq4lcarLKOJBkLRzJQD4j2090XrbA7DW8K3jNF5hlGS5e4V2D17zgss4T20egOJte5iD0bReM9yjTxnQxCRj3c5kFzGJmGbNKmwGw39IJDJcXJZGMkaAB4jyJAKw0jt5IAuIE%2BA%2BU3cVAZZrq9zhDyBrU8oosuxcGNTzCKJfla7JjNVmuSb%2F%2BtuzN2H%2BX4vlB%2BPpdfMXXmuVsNiub1T34SFbjYw5itEvVi0K0Nt9pNJUMI7SLGRhf2xipfCYf8z5OdlGKayOucFeVPeS%2Fdbo3lBrbSMmwUiQN5%2Fed7g0Ds1s17IuZC5kNzM3MZ6EWCa0DtekdJfAxz%2BR%2FOX28sND7yRMTBcf%2B%2Bs8mQCQWHya4qBv%2FufeMoWyslPA9DtMxUknxkH%2FyfTnm2CMYzs%2BCq3r7PxY%2FMXomrvTEsRpfEGHa%2BWN8E1AHjElb7d06ddA7oK%2F%2B5Mdsv9EtPms0jv0Z5kf1FqPxWdFtfFr0kHfgDX0Y%2B5PRSG7RUj0tQr7rmfX8DH4G5W28kKeJLtmQsQkuwMP1pk16EV4sl7vrMJATfyUWo%2FGwEco4rh4XFQgaiUX9qxZHrMQqKnz%2Fc2d8b9TysYrAuXpP%2FRf%2FGr8b1qwwc5a%2BeuLa6S6sneNXToG2XrEJi4R5SGs8Sq2S3d97bsfCRaTdaLwKClRHt37mkudvXbjwVrLhuYeGhh56bvfQkHpk2CwvwClqgWwuBfndC3c8dwmstj81KkagcUgbfPY8Zje0W%2F82VPWJHmSq6pP8hPWpotc%2FEexDOK3qU%2BwngPhOCiO9MJRm8TJefjelrzoKnG2Bn%2B1NCUmPE4gHFmBN9jrTigRIpsACrc9Gstg58ULkp9467%2BGf%2FeFnD5%2F31lNrt2967dhrm7bzI%2BVT5m%2BfzKhvf2MzpICEm79Bopkn07lt1762adNr127LwVqQLdJ5%2BlpQDcvHPQtVY5knhYrK6q8%2FJsiP6EuhGZdFdaNszjvpqvc%2BPI0CdjN0AXsFOC3ZfALDJwr4q2Xq%2BGF%2BGNbsxUg5NLLIEXi8otcDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg%2BFB1ubjlnRNvl3o6IEU2w7fdNPhm%2Fhh%2BFLysUu6%2B%2BDLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK%2Fm4szFFR7ch0toUgBTdWHr7EpaWru6%2B6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d%2FjLST9v5YflasP6v%2FCO7%2BGNAPC2BMZWmsOjp2NNbfHwMCJD%2BLPVL%2BD%2FOYlWEEI%2F9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2%2BbBDWBud1Va4pcCn8CPqxlh%2FfgtG8IPaPH8C5wk6%2FnZDv69jurV5QhtwE0x2iqOsj9Mx8B9%2F0EaUdiPfOYYDCi%2Fq9jhWRuupMDEU0%2BCtX0sDFxv07T%2FK5niBPqN9%2BtQjgEc31NGCXFeMcCEuQBIc%2FBK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF%2FR0%2Fu5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y%2BRBgogrXPZ8E1yIHoHIFUM%2BAbJhE7lbMtt8ApL%2BxmZW7PwbjAO0fAVoXQOuiSP%2FksIVdFZ0aulsamKUzwPZ%2FNYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7%2Bpg%2BjUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd%2FJ5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7%2BRHJHP%2B2hqfugo%2FMvI2H%2Fmqr4b9tFnKSRY1Y5Ek80Nm%2FWIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw%2BnSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv%2BrWa%2FWih0vlbX6Zb75T5C0qNKVFvH1QL%2FvazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f%2BXdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS%2FxTo%2BP5wGFak62ap1PVFFN4v%2Fy%2BxuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f%2F6dhK6gQokFKhWX3urrjk%2FrnI0pgfpGMeuQIUaEM7%2BGF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x%2FGdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY%2B9yGFQtEo0GQPNv6vS2drj4%2B1jHbv3aJSMUWP%2BQTZrmbNTjU8wyG%2FiXNNpskybLcJ3CiTF5Ir%2BJYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d%2B%2FXeNRTZ9%2F1OPfG7%2B2hwzd5W3D%2BhmyjsRcUg%2F%2BCavb%2B%2BVh2ls3L7zT%2FetOnHNxeerv313vzLVqPai4nJv%2BK1FC6040%2F4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk%2FU%2BD4gTXW%2Bj0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7%2FR561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l%2BWKHmLTJwRv9E8GWJ6dYvf%2FFmEyEGr%2Bgyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b%2BtMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1%2BQ2BIRvf6J6Kgatnrbiem%2BCFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ%2BCuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih%2FxELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD%2BuOe%2BkWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby%2F%2BSSbPY8%2FNH6vpl%2FEsq3Ae4ZU1HC44KFiI9o7CEgab%2FRqHbj7s5KAg06s39ZP%2FzxI%2FmVuF%2FTbTSy%2B3Fb8If9%2Fcv7%2Bwt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi%2FC8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0%2BXxx%2F5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB%2FqM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J%2FUKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc%2FTHK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd%2B%2BU%2F3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg%2Be4As38MfGquNt7oUws6Ysarj1%2FefE%2Byst86YUVNvDdts3Pv5c8m%2FaP0C%2Bf8%2FQb%2BIMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT%2Fv27wm09jRYVc%2Fe%2B%2Biyx2tyzJb%2Fn3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy%2Ft27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj%2FS5ki1jL%2Fa0GC6%2B2L6Um%2BaoddlNFuj%2BbJ8mH%2FiaLh8I0%2FU51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz%2B1UmhTJyJGxZzw%2BwsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ%2F9pPA4RKTASWahmh%2B8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ%2FtHnODtENw%2F2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8%2B%2FElg5j4Gxur3J8o2PJ4rg%2B2d08T%2FfwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r%2FaMMj8onCP%2FDuDZOuN%2BGPPr%2F%2Bp7bx%2B7JlbYdppcNhzKU%2F1Px5aiaGDn%2Fs1iGMaBcleKUo%2Fv9rcxkZj7DBEKOfrayytXNLYiUdBY%2BpleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF%2FQa9Pdf%2FQqOSqCiE%2FEE1%2FXIVKTc2tzWbHnimrEd%2BVyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu%2FkzIdx%2BBxC0ay9zRSvoS0F2lIxI%2BX7klU63I40gLQ3w5ep5na%2BSFnba3z5D64zv%2BQtM4n4ffG3tq4aNHGRfxgrXPMim%2B5487abL7xhdseIRn1KDl%2B7aINixdv0OD%2BJSPwKf5%2BxoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz%2B9a%2Fv2PH1Hfz9236w%2BZrPXvWfAxlj4NLLHpq3c%2FPQ3uvmvbrjG7fe%2Bo2y%2FcLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF%2FtkkOGPW2ibWaBTkeZ%2FdvPWazXfOnnvL6jkRXpi85sFzZt%2B55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG%2FyVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6%2FOU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR%2Frg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x%2BMJiOA3YwhDRQrWU0u%2F0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0%2Ba0uoiFH%2FxcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL%2Bj3D%2FuwhBRdyAyozeZwvQzs79soi%2BBKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo%2FybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM%2B3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho%2FVDkzQfLE%2BIrYoJXkD19pdP7OwG%2FvoIUtagiWiZ4PAFTHHlTVhRZ7dYmPar%2BNJ%2B8JhmR6DFK5DV1foHoLNO%2FpHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj%2Bi5%2B%2BWZfKeViJfW5HnUakVL4UCNVkA4%2BETfIqx4B5xSaP2L1yn0zn2ltPn4%2BOqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL%2FNNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE%2BcPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP%2BKps8J9%2F3mGQIteY%2FLGPC%2BL7872SPR2br5fy8MtKBMHedGuM28%2FMZmPJMrGgi3Gb1S%2BSi1%2FL%2FzrZwO9XH1ce%2Fz7ZQ1WSoY%2F%2BpMb5FT4ua0Wm%2BJf%2F298nFmChEQ%2BTi71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa%2F1IFO1%2FjdWr%2F8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc%2BKJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3%2FtM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB%2Fyox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt%2FqMDnvLpPNTXfNa60z5%2FyjXQOMq%2BlNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd%2BRiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb%2FpBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap%2F30lnVESgNnvjbUoT6w9N%2BXoio0qcYOIM%2Bheg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X%2BPE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa%2BdAdAbMYX6HVF8A%2B7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf%2FNf%2BNy65BhYxxxV%2B77XJ2wfQ389%2FIQPgajXbwMsuAz%2F0IaQcXJavKbRqR2IqyZruXjVC2%2Bhdee%2F5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab%2FwXl2CNe7s%2FqCtTvWgG5kpBmCBlSzDS%2Fr8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8%2FNCfiOUVirYcBbIeA2%2BiF68rQIo3B%2FS628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935%2Bk1efkV51mzzrM0LL3%2F20avnwMeKuWyOUZg2TasSqZ%2BKcZQiOn1Iu2Vh497ALUVZiCKt%2Fgh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1%2FuzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb%2BokJ5JRDyf54Axur1D%2BWS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt%2Bt%2FqW2%2B93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz%2BtJo%2BwijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF%2BkuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj%2BZ4i%2B42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA%2FhRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz%2Bx%2BFkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3%2FRTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY%2BuSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN%2BfiK86LeXj%2BSc5lPKy%2Bk%2FvCUI%2FDaLFYCWHr6nbXuILTIsb5imNKY%2FrCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T%2FyOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH%2BL0eCPxmsa5ZpgRJSDZ11yDv%2Bjmbd86vxZfc1WcZJ3UkMq1BOOOVtvu%2F%2BpB%2Ben186d3GTwWAw2jheaJs09%2F%2BLNfZft37DALyrNj1wABMuUKbODyTVnT%2FKYbJ3Tpq8IrNh92dkxOj5P%2FYpZx4%2FycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB%2BcV99%2FeTF6294dA8%2BTK6v74MHVpYNRt%2FI30e8QGTOOdfGWzzxcy%2B87a7bLjw37rHw1nPzp0KyyRSeZO%2BQQhInt3dYgvycjrPOv%2BT8s1rptaP84VeywdWX2T4ysr0%2F7TLIs6%2Bx9zib56ye1dM9e%2FXsZmePY3NDs9zlnNVt4%2BWgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS%2BXPplV2ts4bvCwZu%2BKzgITtxepaPRzWdpv74muvv6RO0SorX6cu%2FdqKn%2FXWnrtp%2FZragz13DUCl5myiFW2Ycvb0PtsXnU%2Btx8pvLFbUspLX68mdegwmOif%2FNPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3%2FjdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx%2B6arPqbkcNAHoFPzKUUQ%2BqL0k97pjbZv1I%2FegC9zTFbrrlFpNdmea%2BgIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV%2FScS%2BzjlASyUTVv%2FAJ46gkJI4bHX4lTnloctxPZE1ckS3%2BjG2fKIjkQFyzuo8jvYQG1OrGvJPSTu%2FnSp9PHNTl4z5hK%2F8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt%2FwkSx%2FJCmP5%2FcBKQfl%2F5gd%2BrOS%2F%2Bp91%2F%2BYCg5CXK2W4M9fu%2B%2F6xxX%2BvnelVuldIDCG0VQTpU9Dw4pRfei%2B6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15%2B5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl%2F5bqzYqT9hMmptEXDgTqP3Wiye%2BsD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC%2Fv8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4%2BTi7W9D%2FOZrLChdwxmPNiBRqVjnpK%2FaGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3%2BOfU5%2FieLS%2FNuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD%2BN2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad%2F3t2KTtPobnX6D8C8pd0MDP%2BKx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE%2BJGTS3JoEhTrz8%2FCB%2B5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk%2BhtwN5A0V3RCPoD%2FyXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps%2Ft%2B0iCT3AHVtZC7JDCXfR7OSb%2FXja5H3zQbZL1B%2BULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset%2BnQWdS%2FZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5%2BLhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW%2F3Q5Nn8BZEuzqEI7HK3n0%2BzFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj%2FmQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2%2FBWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY%2FyCZu%2FAmd5Or9uS3DYaeqVOhH7gZN%2F8I%2Fwi1fEuLXvyNivibjuKvN%2B1Nc01HF%2F3h%2Bef%2FsOhox8MPd5SFucPjorQwXT%2BytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP%2F79nbvCXFOY%2BPUjrT7%2FotsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9%2Bpbs6E%2FVu7Nk642%2FPYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu%2F19%2F5QW9Rv1U1ridT22i%2B53pzumbs%2BXFFXYC%2B%2BCGsTj5JUT%2FGCgRt3n78i2n71FHG4%2Fu6X%2B%2B9%2Braya7os3ZbDmgWfXun44e%2Bu2NZKuGZ0HiF8M4TlMPR%2BEU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l%2BuXrbjPUyep%2B8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq%2BNzK%2FOKSbsfl79o9G20R%2BbrBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery%2F7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1%2BSdazRrfddkBU98t1htvWrbjqSqjaCguxrffM%2F5zDCpBALUycmajhd%2BR6ww4SWafuZ5eU%2BtPid4lgd3gt%2Bb%2FY9rQoZNmiXYPXyRHbRs8zX%2Ff4WIFjWZJtUdSD55AP3xtXH%2BZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy%2F8F0GoqYPv75Yh9j3x4DuJ%2BuEzHRpAq2lMqb%2BqfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT%2BLUgx0Pg%2Fp87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv%2Fu9ZUWUx%2BPYFueUKwaNvbtu%2BXps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L%2FBehXuHqfaBwBEU7hfVLcXvS4VQv%2BT%2FvaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq%2Bk4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S%2FtkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP%2BEaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP%2FdsZ8%2BfP75D%2F9Uu5Gs3FY%2F2SxPld0DHOciXI9gqjcEidXjE%2B3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8%2BLTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7%2B%2BwW4gRDRbaxw2nrOGm%2BxOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot%2FFpHvIUjJovFEoYvHYV9C5Y%2FxN9OfcalvII37UEhTbTg%2FAQIaPb4Vz6j5u8%2FaViycMod%2FfkDcpu8QZbZoeBi%2FvbzP3XPsZvOubMtaPHkD9jt6%2BU2O7vqU%2F9C9SMvgrXpQNG%2FE0oJxun%2BCiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp%2FVAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y%2BpGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr%2BP2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr%2BP30f3OkPQ72aO0xYo3%2FEsmO3QO5qEF8S0qQH0UsKXv0brnl9%2B8M7jF174%2BDsfvPOl1au%2FRL5%2F9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x%2B4ofw%2B3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ%2BpYl%2BSf8YcurfmXP5F%2Fkj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0%2FOM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw%2B1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g%2BRn533qkocdvLs2HmhU75br%2FMmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3%2F3pYNi3bS%2BRd%2BGjOfVpAPNd6y64Gsz1GaZleWIPoYL%2Fv9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk%2FIojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB%2F36kP%2BK38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL%2Bx03nhh%2BoNo5e77psxg9Q5LzebIKD%2BfsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O%2Fkdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P%2FF7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF%2FBRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm%2BRdmIJQST%2FZfVdudUvh9S%2FqqNvqT98g9SQ3lHibZY0mRVHooyDN%2FFHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi%2Bd0s4%2Bztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr%2B1VZFcEZ%2FPdJkn1hOs8SXS%2FNFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq%2Brbyg1Z%2BO8VsNC1UmcvORPRfxtPrfRwL2p%2FoA1eZp6Z%2FaGffoewaXcA%2FxBlKlQLfhQL%2FoPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp%2FbXh5e5YXW2Ngfvza0ZF6UgFL%2FE0fTq4LBlvTE2qb%2FKuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8%2FVWi33c3bBZnGY05%2Bdm%2B3qc7fNmj4YGKLj2nfqFP%2Bg7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j%2BSYEWHlZ0K%2FHgsh%2FZtsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D%2BYVyKd0jw3iumwi%2FBC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc%2FJ5uGm6CViW5mulYMk%2BHqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br%2BfcLyoAyu8D9B7bgmzUqfFobF5nKnK4%2Bt8MPJkI%2FxHUNWk117jugWF%2BxazTAALQn6%2BUE9lhoI5ApGA%2FiuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL%2F3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n%2BjspIsHFjJrTOdzSMuOa9DbDcj%2FnH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U%2F8JbJZPJJLBLolH1La%2FRbF9AbC8JJjv%2FmMnssKjLRBJyqj9QXxNko0Ux%2FX79epfiXkm6fmKwF%2Fen1HLc6LxloXWKvGa5rVCVL83VuiPcDEX%2FK5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS%2FkTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv%2F36k2sbqCeCFNa%2BURpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR%2BD79H56NOz0EVWCTy2%2FfffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ%2BT%2FEl3uZqL%2BFyzSZ8XxpTiI%2FG0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ%2BeuOeG2SORmKZr%2FqKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya%2BvlKqv6aXK1qIj3imL%2BL6hL%2ByvUlFfE0VKZ7E8gBY3M%2F8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry%2FLgZIlCeP11Z4zs%2FAwvVwtGFEut5S1JY4lfyT0N%2FevOLo%2BrUEgjcqc9IkGpQbv3iW7Co5b%2BKgjvpzYdH85PLcc4X21ouwEGl%2FS4qnUAvoSlXUUhR1eKr2VWFTB%2BGMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH%2FqPepXQ0Db77CJOAImohB%2BRPWr31ev5g%2FkE%2BzTa4lbvZo8xdWPffQu9yJTPCNB66s%2BzXoJt%2F0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0%2B3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80%2BUxfUHPlBZIRVNQ%2Bv0xRm8REKPoLmNr0%2BUo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV%2F%2Bmfr0C0r%2FNkeXbbpPlOTBBwT0mVz1zx9S%2FwJecBF9Wgv3p032iP2v4VSgfgW2G%2BHUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt%2FQRasn2kri%2BH6L80MJRsmVYJrAKyDItpJUy3%2F15WYIJqcJ9Q5N%2FLFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb%2BIP8gHed%2B6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha%2FfJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG%2FXbOFz%2BTcq2MLrcmV28Nmi%2FOHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw%2BluPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs%2B31Wm5qpH%2BiJWSzqdPr2O7zc2TmtnrzCig6bBd%2FvgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I%2FMAp9q9S3Q%2FclADNm1wEeO%2Bxbwg5OIYHZLY3ehG5lJk2xhco%2B6JWybpEVz2wrR6hZyD0QXZbeDVB%2BonmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P%2B1fAll%2BSyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y%2Bcf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY%2Ff%2BucuMtCuP%2Fe4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn%2F%2B7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7%2F6B23%2Bf%2Bsp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz%2FQ0hI0m3NKDRfkgsrnamo%2Bp0CAq1FyvC3a3Nak%2Fs5VX282x9Ufy3E39VAx6o7LpCvO2wK%2Bch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5%2BjP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00%2FWavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR%2BgufwA8GegxUEo4A%2Bgd0BASHiH6jYMLIsUdQJTs%2FC641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW%2BAMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA%2FxUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA%2FE%2BDXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX%2Fk%2F7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh%2FTK18StOPhwG9Xo5mqXAxvw%2F79YQwwDR%2BnAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw%2BoTFqxtz8dxwtogBnF9MjIl%2Fin%2BK8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O%2BGC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6%2FOC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx%2Bv1UKPsfvzQU0Kc83i2VdILmd2%2FyX55zT9luN2%2BCu4nKfwPcK%2FCvDVU%2BpHh8%2BLaldIf1fA5h3ndT6Fln9%2FW%2F9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW%2Fuib%2Fud%2BVK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M%2BVG0KsUdgdvpgP%2F6NqqP0%2FgHZFUfGEijZLHpiIgvV5%2FBltrj8Qd7XQd5p4P%2B7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z%2FvvacG%2Frjpsvnpzs0B1Id6fmX8119l88XnOxe%2FuGrzzHcdu7UtY3%2B2vmXN5zUyj3ZcPl8p1sZSs6%2FnGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q%2Blwg1RdRSpFDNzosb44YJXnAfoEOpZW%2F%2F6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21%2FBWW5DnPQbn2X1WK43%2FaM2n18DfSoybbNHijFpamzXI31eRibGUOxSu%2FlT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO%2FVjC%2FEinToFyoNDz2p9XD6g78WgQdPG7Z3R0T%2FZ5dTM9lsL8Ktek7szl2L%2BgQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T%2F4VeamYPlLtffdQsk%2B2sUTY%2FzDXl%2F05W53%2FBz9UK3p7LjapZ2ZxOm%2BUlZXrL3HHGqO8%2BwVroDaCTTnTxitMxmiAAYQzVJQH%2Bnj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj%2F9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz%2B3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62%2FqN%2FtjQxnSnhnKPw%2BLNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh%2FLvQZnt0evgIhTFV0kE%2FPYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8%2FCj1Y9NY6cnGVW0CjTLaz7E3epvaT%2FLtTV72Rs%2B0WVVmd0dz%2FMGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf%2Fz%2Bfdka%2BeKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ%2Bbewnf18ap4Ib%2BmSMrtDU5zqlD8QANa5MBGh%2FOwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq%2B7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2%2BYuMbmE9dwGYB4KFTsvnDE6Ah47r%2FfE3AYI%2BoXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU%2FA%2FJsw%2BvWDa%2F7emewLaoeibaF1B9qUNnuqWK3%2BUfXYVL1v%2FomD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk%2Bgk8pL0mcCDOn08MDAQlf%2B%2FSlTZ1z12fnqntOhbOTL9%2FZdevbAPN%2Byby1f%2FuUtC%2Fixm8ZBo59LTXEW060hGrTDplNprWd58fwB%2Fb%2FE27BdS%2Fs7U%2BrGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt%2BKh6HN4ti6lxIhT%2FwahnZtWwzlY9QHQ2c79C%2BdxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah%2FPFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn%2B2MnYv36dbMDBTonl%2FT%2Fma5IKAyEGz%2B4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK%2Fyp%2FgLEBVat5WnPDdKA574ubuFJ%2FIUfZ%2FY2Nt6mN%2BZNNTSTaeI56gKwkXerTe9DDHUw8%2FH35FY3nNN7GGuBKWhrV9ep%2B0k1WjNWVaHkW1yA%2BQHWNu8rtBw2a5YXuE40rs7%2FGA%2Bj09V3hA98yRnFPOGr8ltGlsFdD%2F7tRce3LH6Trcneuiy7K7J3khKu%2B3qUaXPWaX7T6%2FKfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM%2B0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz%2BXmcOs1H31U6cC6RTVLfCg7RNBF1UF2%2FwBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH%2BWC0E1qOGtP66s1MYv%2BVLu8%2FXFXvV%2FZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86%2F1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp%2FlYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm0MhG1%2Bx1SXwLpFi53b%2BaHRYo%2FIrbZtuWAKu5cSEXfybnnmUCaXGTpQr0xK2O2WWY76f%2BnAjNVf7nCZHU5XqIkTnpt6VtvsFlPXg1031g%2FVRdpkkyVpD7jnmax88QwDvg%2F66NnMRdRXTcGTmQc3cuINwN5IQqi0yzb%2BYFVHuVqI5s4ADfg5oE4ybDLd28mFSFmYvRoomsWXEdLU2Wl3GJy93ZNb%2Fd5gqmNaqJZSO1l6PVRy0nZIj%2F45EetjLguh1rLqR%2BSK0hO6NrsqcNX8zoUdjQYDJ7tb4os6%2Bi%2BY0qpY2AWlnLRDWdGFTfGY1gV0zNAtJ7pdo24se0D88AwLY%2FgZmE9iuP4V5v7CSR%2FRThaHLh%2BUeBkXwU6BC7lGOevK65udTv%2BtS%2FPfW7qj3ljTcj3b9OkbV85t8xsMj7Ddj7DGpthZKwKPvso%2Fc%2F1K9aLE12fMWLV1y1D9ua8lyJdWXr%2FbG%2BnoCFutf%2FmLILe39ITUV4igr3876fpX5g2zeB52sWnIL4fXHlgeUzOx5QfIvJQyrKQE9wHUqVq%2BPEaOrz0wVvNbJZVSfsuMzxN4l9PkedFzw9V5Dj%2BnzpgoT4ZxCxJfC5RWLc74YVHxKlExCYt0JAOMatREhHBSCAtSfod6x6Ls8HCWECLwXZ9nd5Dz1T24JUdWs6fU3%2B%2BfcnT49Qe%2BkBs%2BwdsMZgPXMp3U5S958snPP%2FEE7bvkOPCuTUDTUQ%2FUzirLhML9yPahoe1D5Fj5jWsaoveyP00PehdUAHk%2FseDVWsvDWXXXsyn%2F4wfpXc2V3%2FQxli3jl%2F5hj%2F83avSCfpTNxOEKLmTjxOEKuxgNlsQn0xgct724mhynupNW1Ph6o3RYS3%2F%2B2TJrzLlkFz%2Bip3qCHKf6eqW02QJLjBYuuj4sobhCWqa%2FYHGEHpcnumuWSOhxeaL7sOakNR6vvmo%2BYcfFA8UFXEPZf9UjyudIOyNwx%2Fi90DdsujS%2FFX2UAwvWSVK4NxaMhAGw3oowp%2Fuc8CTi7D2rBgZWwb%2F60faR7SPsEbjkXy4G0XaqhXPwe2cePjxjxuHD6ssQuR1fq6PF0E%2Bo2t1nePTn8TUmxz%2FA3crMoCc7egESuoTHYc7mYdg6etORoOhR7BBGD%2BqJopELrl4S6cJNRtEAsLP%2FOdvnJq0Wo0GolY2Et9VFB2Kf%2B4bZvVyxfOMz3WdFfSIryj6DwWghre7aQbdiDrkTL3A3vNDuDpk93HqXwam%2BbWmUJZfNn5ozKV5Pmmq8PF%2FjVY%2B2Tlk2M2RzSXKjmbQ4RZcQavEYrN%2F9rlXwtIQqzxQNMzPPfHYLvuPoO9TbT8bpGw5CQPGd%2BSyX%2FCyf0Vxjd2R9NmsunnXYa8xGHzn%2BsSfM5J0y0DZEXWWxkXjcR75KBLNLHi7XvX2G8VOrf4Ykg0AMdBESIpo7MgAfyakA6rkqpI6UjNs0px7cMV%2BD5BF49Tez1VGnYmq0WIijp985m4Sn2gJR9b07riPPFo97OYbUZbxJCpot7H%2FlpZBicglCPN7WOfJkcHqc3ElWqvvz%2F1E6bIQrG%2Btz6WkM1SM9FBTR7FSs8KyBBytSmNEoquJNFN5EQyTiCrnKDx1h58yxCepPHU5nxGoxEQeeOZi2m80DxNxncVhr6BmEfUarxejw%2BWSiHhWk19bSY7aKR5MsteblJpfTLtjimBouXsm3d3djjYM%2BwEW0El9dM%2FueVRWIsXwe43R7SgbVZqrnqoJ1X%2FkuF7pcgf8duv4q6vayV5U9zMV91GxO59UUjW8rHV6u799WzKMT7umRCXbYUKM%2BfoaCcwgaoqZUtmodV3p%2BX7akb4dnU9B9La38RPFUG2SCC90tVA4XwEFhyOpZZrUCsgWYHsczLFBBVGNtstoN1bw0Z%2BO4fYIbvZVt4EUcJEKOhHeincWqONw%2Bq6w5Go%2BWGOSR7LhKV%2BKBqbBPpfUvOf9QqkpDyVhBeyyZQGMsdA5FBUqvFMtUyGq9vjnsAJU4UcrxldP1CCaofyDkSAifoP5QwWx%2BSyUGxp75BzGAvtG7uQ38LehlyEQMeh0TeE6Bm7tYdXqdkt0uOb3kfYlNwmOdDyacOq%2FqlFo1v%2BPTmTi3E%2FglC9W11b34A22zmLzvb231Q0L2Bgg60OTW4YdstO%2BYOJnO38TtpH7zy9ymokWyA79qlVSn38HtpFlImFnhu3b4boNWXklOXV0Iwo7lQ1hrZyPFcwtjwFP7iEKSHSSJw509kh8kj6pr%2BH1jR7km9vcvqN9657vffefkv%2BfKxge1X%2B7RdjYUPIESN7gTvRkB%2FRMYtEkaVkdHApmdBPpnKmz0n1xSWFOyVIuLrinZwpoCRe6kyiVZoHX088F%2BUX4%2BWKS4iBTP0IWxGtZgOdMaV4KTayqHQF%2FVihBwTbgDXTCmKoOBJeNhwJMzEVjtjIFLuU38fPR7hqNG1JS7g%2FqRCuy3vmQ3W9Vu8qbVbP%2BSzazGRJH83MzP90Ck2m31mMjP8TiLn5uwD2Ugr2PFvPQjB5BnSJvQxGQZZEB%2BLopqzGzDbMmbkAPkZVJjeO5FzOSBKCgJze2ZS4Gemc9twrwY6u9H61iUQTcRvtdT9RW3tRxAWwFs2tcuJRnI6xjmBdWjbgFNRHMHiF1uHYBfUR%2Fut5Ug2jXAaT96%2B9RH%2FFToRwIzGbKmVJ1AZQnoabSB1yyIg7ByAridHApPMjyw0OiV6RjSbCuzwLAvFizBliWJua1tsuAgvNPbmljYbpt8lkWam7b3XZiOiKJskMOtmfScnsbPW208knwjuXrXK4Q1iKIgNyYXXDVT9C2Ye%2F78GQ5BEEXfFdde2RwauOysdJNL5AzCy84ard%2FnGAVN8alecnFdgu5Gbd5DJTL%2BhHZK0vApVy3OfU8XTSJg1TlssivsPYUlIqvn66PzrVTymCc4wgF6SDNR0pDf%2B9Gp%2BVnsUH5WtpHYsuhOaey8zdwLN47V8MTbm78g687%2BP3cx6tcAeNpjYGRgYGBk8s0%2FzBIfz2%2FzlUGeZQNQhOFCWfF0GP0%2F8P8c1jusIkAuBwMTSBQAYwQM6HjaY2BkYGAV%2Bd8KJgP%2FXWG9wwAUQQGLAYqPBl942n1TvUoDQRCe1VM8kWARjNrZGIurBAsRBIuA2vkAFsJiKTYW4guIjT5ARMgTxCLoA1hcb5OgDyGHrY7f7M65e8fpLF%2B%2B2W%2FnZ2eTmGfaIJi5I0qGDlZZcD51QzTTJirZPAI9JIwVA%2BwT8L5nOdMaV0AuMJ%2BicRHq8of6LSD18fzq8ds7xjpwBnQiSI9V5QVl6NwPvgM15NXn%2FAtWZyj3W0HjEXitOc%2FdIdbetPdFTZ%2BP6t%2BX7xU0%2Fk6GJtOe1%2FB3arN0%2Fpmz1J4UZc%2BD6ExwjD7vioeGd5HvhvU%2BR%2BDZcGZ6YBPNfAi0G97iBPwFXqph2cW8%2BD7kjMfwtinHb6kLb6Wygk3cZytSEoptGrlScdHtLPeri1JKueACMZfU1ViJG1Sq5E43dIt7SZZFl1zuRhb%2FGOs44xFVDbrJzB5tYs35OmaXTrEmkv0DajnMWQB42mNgYNCCwk0MLxheMPrhgUuY2JiUmOqY2pjWMD1hdmPOY%2B5hPsLCwWLEksSyiOUOawzrLrYiti%2FsCuxJ7Kc45DiSOPZxmnG2cG7jvMelweXDNYXrEbcBdxf3KR4OngheLd443g18fHwZfFv4NfiX8T8TEBIIEZggsEpQS7BMcJsQl5CFUI3QAWEp4RLhCyJaIldEbURXiJ4RYxEzE0sQ2yD2TzxIfJkEk4SeRJbENIkNEg8k%2FklqSGZITpE8InlL8p2UmVSG1A6pb9Jx0ltkjGSmyDySlZF1kc2RnSK7R%2FaZnJ5cmdwB%2BST5SwpuCvsUjRTLFHcoOShNU9qhzKespGyhXKV8SPmBCpOKgUqcyjSVR6omqgmqe9RE1OrUnqkHqO9R%2F6FholGgsUZzgeYZLTUtL60WbS7tKh0OnQydXTpvdGV0O3S%2F6Gnopekt0ruhz6fvpl%2Bnv0n%2Fh4GdQYvBJUMhwwTDdYYvjFSM4oxmGd0zVjK2M84w3mYiYZJgssLkkqmO6TzTF2Z2ZjVmd8ylzP3MJ5lfsRCwcLJoszhhyWXpZdlhecZKxirHapbVPesF1ndsJGwCbBbZ%2FLA1sn1jZ2XXY3fFXsM%2Bz36V%2FS8HD4cGh2OOTI51ThJOK5zeOUs4OzmXOS9wPuUi4JLgss7lm2uU6zY3NrcSty1u39zN3Mvct7l%2F8xDzMPLw88jyaPM44ynkaeEZ59niucqLyUvPKwgAn3OqOQAAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAHjarZK9TgJBEMf%2Fd6CRaAyRhMLqCgsbL4ciglTGRPEjSiSKlnLycXJ86CEniU%2FhM9jYWPgIFkYfwd6nsDD%2Bd1mBIIUx3mZnfzs3MzszuwDCeIYG8UUwQxmAFgxxPeeuyxrmcaNYxzTuFAewi0fFQSTxqXgM11pC8TgS2oPiCUS1d8Uh8ofiSczpYcVT5LjiCPlY8Qui%2BncOr7D02y6%2FBTCrP%2Fm%2Bb5bdTrPi2I26Z9qNGtbRQBMdXMJBGRW0YOCecxEWYoiTCvxrYBunqHPdoX2bLOyrMKlZg8thDETw5K7Itci1TXlGy0124QRZZLDFU%2FexhxztMozlosTpMH6ZPge0L%2BOKGnFKjJ4WRwppHPL0PP3SI2P9jLQwFOu3GRhDfkeyDo%2F%2FG7IHgzllZQxLdquvrdCyBVvat3seJlYo06gxapUxhU2JWnFygR03sSxnEkvcpf5Y5eibGq315TDp7fKWm8zbUVl71Aqq%2FZtNnlkWmLnQtno9ycvXYbA6W2pF3aKfCayyC0Ja7Fr%2FPW70%2FHO4YM0OKxFvzf0C1MyPjwAAeNpt1VWUU2cYRuHsgxenQt1d8%2F3JOUnqAyR1d%2FcCLQVKO22pu7tQd3d3d3d3d3cXmGzumrWy3pWLs%2FNdPDMpZaWu1783l1Lpf14MnfzO6FbqVupfGkD30iR60JNe9KYP09CXfvRnAAMZxGCGMG3pW6ZjemZgKDMyEzMzC7MyG7MzB3MyF3MzD%2FMyH%2FOzAAuyEAuzCIuyGIuzBGWCRIUqOQU16jRYkqVYmmVYluVYng6GMZwRNGmxAiuyEiuzCquyGquzBmuyFmuzDuuyHuuzARuyERuzCZuyGZuzBVuyFVuzDduyHdszklGMZgd2ZAw7MZZxjGdnJrALu9LJbuzOHkxkT%2FZib%2FZhX%2FZjfw7gQA7iYA7hUA7jcI7gSI7iaI7hWI7jeE7gRE7iZE5hEqdyGqdzBmdyFmdzDudyHudzARdyERdzCZdyGZdzBVdyFVdzDddyHddzAzdyEzdzC7dyG7dzB3dyF3dzD%2FdyH%2FfzAA%2FyEA%2FzCI%2FyGI%2FzBE%2FyFE%2FzDM%2FyHM%2FzAi%2FyEi%2FzCq%2FyGq%2FzBm%2FyFm%2FzDu%2FyHu%2FzAR%2FyER%2FzCZ%2FyGZ%2FzBV%2FyFV%2FzDd%2FyHd%2FzAz%2FyEz%2FzC7%2FyG7%2FzB3%2FyF3%2FzD%2F9mpYwsy7pl3bMeWc%2BsV9Y765NNk%2FXN%2BmX9swHZwGxQNjgb0nPkmInjR0V7Uq%2FOsaPL5Y7ylE3l8tQNN7kVt%2BrmbuHW3LrbcDvam1rtzVvdm50TxrU%2FDBvRtZUY1rV5a3jXFn550Wo%2FXDNWK3dFmh7X9LimxzU9qulRTY9qelTTo5rlKLt2wk7YiaprL%2ByFvbAX9pK9ZC%2FZS%2FaSvWQv2Uv2kr1kr2KvYq9ir2KvYq9ir2KvYq9ir2Kvaq9qr2qvaq9qr2qvaq9qr2qvai%2B3l9vL7eX2cnu5vdxebi%2B3l9sr7BV2CjuFncJOYaewU9gp7NTs1LyrZq9mr2avZq9mr2avZq9mr26vbq9ur26vbq9ur26vbq9ur26vYa9hr2GvYa9hr2GvYa%2FR7oXuQ%2Feh%2B2j%2FUU7e3C3cqc%2FV3fYdof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D92H7kP3ofvQfeg%2BdB%2B6D92H7kP3ofvQfRT29B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6j6nuG3Ya7U5q%2F0hN3nCTW3Grbu4Wrs%2FrP%2Bk%2F6T%2FpP%2Bk%2F6T%2FpP%2Bk%2B6T7pPek86TzpPOk86TzpOuk66TrpOuk66TrpOlWmPu%2F36zrpOuk66TrpOuk66TrpOvl%2FPek76TvpO%2Bk76TvpO%2Bk76TvpO%2Bk76TvpO7V9t%2BqtVs%2FOaOURU6bo6PgPt6rZbwAAAAABVFDDFwAA%29%20format%28%27woff%27%29%2Curl%28data%3Aapplication%2Ffont%2Dsfnt%3Bbase64%2CAAEAAAAPAIAAAwBwRkZUTW0ql9wAAAD8AAAAHEdERUYBRAAEAAABGAAAACBPUy8yZ7lriQAAATgAAABgY21hcNqt44EAAAGYAAAGcmN2dCAAKAL4AAAIDAAAAARnYXNw%2F%2F8AAwAACBAAAAAIZ2x5Zn1dwm8AAAgYAACUpGhlYWQFTS%2FYAACcvAAAADZoaGVhCkQEEQAAnPQAAAAkaG10eNLHIGAAAJ0YAAADdGxvY2Fv%2B5XOAACgjAAAAjBtYXhwAWoA2AAAorwAAAAgbmFtZbMsoJsAAKLcAAADonBvc3S6o%2BU1AACmgAAACtF3ZWJmwxhUUAAAsVQAAAAGAAAAAQAAAADMPaLPAAAAANB2gXUAAAAA0HZzlwABAAAADgAAABgAAAAAAAIAAQABARYAAQAEAAAAAgAAAAMEiwGQAAUABAMMAtAAAABaAwwC0AAAAaQAMgK4AAAAAAUAAAAAAAAAAAAAAAIAAAAAAAAAAAAAAFVLV04AQAAg%2F%2F8DwP8QAAAFFAB7AAAAAQAAAAAAAAAAAAAAIAABAAAABQAAAAMAAAAsAAAACgAAAdwAAQAAAAAEaAADAAEAAAAsAAMACgAAAdwABAGwAAAAaABAAAUAKAAgACsAoAClIAogLyBfIKwgvSISIxsl%2FCYBJvonCScP4APgCeAZ4CngOeBJ4FngYOBp4HngieCX4QnhGeEp4TnhRuFJ4VnhaeF54YnhleGZ4gbiCeIW4hniIeIn4jniSeJZ4mD4%2F%2F%2F%2FAAAAIAAqAKAApSAAIC8gXyCsIL0iEiMbJfwmASb6JwknD%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EyFgcFExYGJyUFBiY3EyUmNjMBl4MHFQeBAaUVBhH%2BqoIHDxH%2Bqf6qEQ8Hgv6lEQYUAyABYRMT%2Fp8RDPn%2BbxQLDPb3DAsUAZD7DBEAAv%2FTAF4EewSUABgAIgAAARM2MhcTITIWBwUTFgYnJQUGJjcTJSY2MwUjFwc3Fyc3IycBl4MHFQeBAaUVBhH%2BqoIHDxH%2Bqf6qEQ8Hgv6lEQYUAfPwxUrBw0rA6k4DIAFhExP%2BnxEM%2Bf5vFAsM9vcMCxQBkPsMEWSO4ouM5YzTAAABAAAAAASwBLAAJgAAATIWHQEUBiMVFBYXBR4BHQEUBiMhIiY9ATQ2NyU%2BAT0BIiY9ATQ2Alh8sD4mDAkBZgkMDwr7ggoPDAkBZgkMJj6wBLCwfPouaEsKFwbmBRcKXQoPDwpdChcF5gYXCktoLvp8sAAAAA0AAAAABLAETAAPABMAIwAnACsALwAzADcARwBLAE8AUwBXAAATITIWFREUBiMhIiY1ETQ2FxUzNSkBIgYVERQWMyEyNjURNCYzFTM1BRUzNSEVMzUFFTM1IRUzNQchIgYVERQWMyEyNjURNCYFFTM1IRUzNQUVMzUhFTM1GQR%2BCg8PCvuCCg8PVWQCo%2F3aCg8PCgImCg8Pc2T8GGQDIGT8GGQDIGTh%2FdoKDw8KAiYKDw%2F872QDIGT8GGQDIGQETA8K%2B%2BYKDw8KBBoKD2RkZA8K%2FqIKDw8KAV4KD2RkyGRkZGTIZGRkZGQPCv6iCg8PCgFeCg9kZGRkZMhkZGRkAAAEAAAAAARMBEwADwAfAC8APwAAEyEyFhURFAYjISImNRE0NikBMhYVERQGIyEiJjURNDYBITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NjIBkBUdHRX%2BcBUdHQJtAZAVHR0V%2FnAVHR39vQGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHQRMHRX%2BcBUdHRUBkBUdHRX%2BcBUdHRUBkBUd%2FagdFf5wFR0dFQGQFR0dFf5wFR0dFQGQFR0AAAkAAAAABEwETAAPAB8ALwA%2FAE8AXwBvAH8AjwAAEzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2MsgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR0ETB0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHf5wHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUd%2FnAdFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0ABgAAAAAEsARMAA8AHwAvAD8ATwBfAAATMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYyyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHQRMHRXIFR0dFcgVHR0VyBUdHRXIFR3%2BcB0VyBUdHRXIFR0dFcgVHR0VyBUd%2FnAdFcgVHR0VyBUdHRXIFR0dFcgVHQAAAAABACYALAToBCAAFwAACQE2Mh8BFhQHAQYiJwEmND8BNjIfARYyAdECOwgUB7EICPzxBxUH%2FoAICLEHFAirBxYB3QI7CAixBxQI%2FPAICAGACBQHsQgIqwcAAQBuAG4EQgRCACMAAAEXFhQHCQEWFA8BBiInCQEGIi8BJjQ3CQEmND8BNjIXCQE2MgOIsggI%2FvUBCwgIsggVB%2F70%2FvQHFQiyCAgBC%2F71CAiyCBUHAQwBDAcVBDuzCBUH%2FvT%2B9AcVCLIICAEL%2FvUICLIIFQcBDAEMBxUIsggI%2FvUBDAcAAwAX%2F%2BsExQSZABkAJQBJAAAAMh4CFRQHARYUDwEGIicBBiMiLgI0PgEEIg4BFB4BMj4BNCYFMzIWHQEzMhYdARQGKwEVFAYrASImPQEjIiY9ATQ2OwE1NDYBmcSzgk1OASwICG0HFQj%2B1HeOYrSBTU2BAW%2BzmFhYmLOZWFj%2BvJYKD0sKDw8KSw8KlgoPSwoPDwpLDwSZTYKzYo15%2FtUIFQhsCAgBK01NgbTEs4JNWJmzmFhYmLOZIw8KSw8KlgoPSwoPDwpLDwqWCg9LCg8AAAMAF%2F%2FrBMUEmQAZACUANQAAADIeAhUUBwEWFA8BBiInAQYjIi4CND4BBCIOARQeATI%2BATQmBSEyFh0BFAYjISImPQE0NgGZxLOCTU4BLAgIbQcVCP7Ud45itIFNTYEBb7OYWFiYs5lYWP5YAV4KDw8K%2FqIKDw8EmU2Cs2KNef7VCBUIbAgIAStNTYG0xLOCTViZs5hYWJizmYcPCpYKDw8KlgoPAAAAAAIAFwAXBJkEsAAPAC0AAAEzMhYVERQGKwEiJjURNDYFNRYSFRQOAiIuAjU0EjcVDgEVFB4BMj4BNTQmAiZkFR0dFWQVHR0BD6fSW5vW6tabW9KnZ3xyxejFcnwEsB0V%2FnAVHR0VAZAVHeGmPv7ZuHXWm1tbm9Z1uAEnPqY3yHh0xXJyxXR4yAAEAGQAAASwBLAADwAfAC8APwAAATMyFhURFAYrASImNRE0NgEzMhYVERQGKwEiJjURNDYBMzIWFREUBisBIiY1ETQ2BTMyFh0BFAYrASImPQE0NgQBlgoPDwqWCg8P%2Ft6WCg8PCpYKDw%2F%2B3pYKDw8KlgoPD%2F7elgoPDwqWCg8PBLAPCvuCCg8PCgR%2BCg%2F%2BcA8K%2FRIKDw8KAu4KD%2F7UDwr%2BPgoPDwoBwgoPyA8K%2BgoPDwr6Cg8AAAAAAgAaABsElgSWAEcATwAAATIfAhYfATcWFwcXFh8CFhUUDwIGDwEXBgcnBwYPAgYjIi8CJi8BByYnNycmLwImNTQ%2FAjY%2FASc2Nxc3Nj8CNhIiBhQWMjY0AlghKSYFMS0Fhj0rUAMZDgGYBQWYAQ8YA1AwOIYFLDIFJisfISkmBTEtBYY8LFADGQ0ClwYGlwINGQNQLzqFBS0xBSYreLJ%2BfrJ%2BBJYFmAEOGQJQMDmGBSwxBiYrHiIoJgYxLAWGPSxRAxkOApcFBZcCDhkDUTA5hgUtMAYmKiAhKCYGMC0Fhj0sUAIZDgGYBf6ZfrF%2BfrEABwBkAAAEsAUUABMAFwAhACUAKQAtADEAAAEhMhYdASEyFh0BITU0NjMhNTQ2FxUhNQERFAYjISImNREXETMRMxEzETMRMxEzETMRAfQBLCk7ARMKD%2Fu0DwoBEzspASwBLDsp%2FUQpO2RkZGRkZGRkBRQ7KWQPCktLCg9kKTtkZGT%2B1PzgKTs7KQMgZP1EArz9RAK8%2FUQCvP1EArwAAQAMAAAFCATRAB8AABMBNjIXARYGKwERFAYrASImNREhERQGKwEiJjURIyImEgJsCBUHAmAIBQqvDwr6Cg%2F%2B1A8K%2BgoPrwoFAmoCYAcH%2FaAICv3BCg8PCgF3%2FokKDw8KAj8KAAIAZAAAA%2BgEsAARABcAAAERFBYzIREUBiMhIiY1ETQ2MwEjIiY9AQJYOykBLB0V%2FOAVHR0VA1L6FR0EsP5wKTv9dhUdHRUETBUd%2FnAdFfoAAwAXABcEmQSZAA8AGwAwAAAAMh4CFA4CIi4CND4BBCIOARQeATI%2BATQmBTMyFhURMzIWHQEUBisBIiY1ETQ2AePq1ptbW5vW6tabW1ubAb%2FoxXJyxejFcnL%2BfDIKD68KDw8K%2BgoPDwSZW5vW6tabW1ub1urWmztyxejFcnLF6MUNDwr%2B7Q8KMgoPDwoBXgoPAAAAAAL%2FnAAABRQEsAALAA8AACkBAyMDIQEzAzMDMwEDMwMFFP3mKfIp%2FeYBr9EVohTQ%2Fp4b4BsBkP5wBLD%2B1AEs%2FnD%2B1AEsAAAAAAIAZAAABLAEsAAVAC8AAAEzMhYVETMyFgcBBiInASY2OwERNDYBMzIWFREUBiMhIiY1ETQ2OwEyFh0BITU0NgImyBUdvxQLDf65DSYN%2FrkNCxS%2FHQJUMgoPDwr75goPDwoyCg8DhA8EsB0V%2Fj4XEP5wEBABkBAXAcIVHfzgDwr%2BogoPDwoBXgoPDwqvrwoPAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgUzMhYVETMyFgcDBiInAyY2OwERNDYB4%2BrWm1tbm9bq1ptbW5sBv%2BjFcnLF6MVycv58lgoPiRUKDd8NJg3fDQoViQ8EmVub1urWm1tbm9bq1ps7csXoxXJyxejFDQ8K%2Fu0XEP7tEBABExAXARMKDwAAAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JiUTFgYrAREUBisBIiY1ESMiJjcTNjIB4%2BrWm1tbm9bq1ptbW5sBv%2BjFcnLF6MVycv7n3w0KFYkPCpYKD4kVCg3fDSYEmVub1urWm1tbm9bq1ps7csXoxXJyxejFAf7tEBf%2B7QoPDwoBExcQARMQAAAAAAIAAAAABLAEsAAZADkAABMhMhYXExYVERQGBwYjISImJyY1EzQ3Ez4BBSEiBgcDBhY7ATIWHwEeATsBMjY%2FAT4BOwEyNicDLgHhAu4KEwO6BwgFDBn7tAweAgYBB7kDEwKX%2FdQKEgJXAgwKlgoTAiYCEwr6ChMCJgITCpYKDAJXAhIEsA4K%2FXQYGf5XDB4CBggEDRkBqRkYAowKDsgOC%2F4%2BCw4OCpgKDg4KmAoODgsBwgsOAAMAFwAXBJkEmQAPABsAJwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgUXFhQPAQYmNRE0NgHj6tabW1ub1urWm1tbmwG%2F6MVycsXoxXJy%2Fov9ERH9EBgYBJlbm9bq1ptbW5vW6tabO3LF6MVycsXoxV2%2BDCQMvgwLFQGQFQsAAQAXABcEmQSwACgAAAE3NhYVERQGIyEiJj8BJiMiDgEUHgEyPgE1MxQOAiIuAjQ%2BAjMyA7OHBwsPCv6WCwQHhW2BdMVycsXoxXKWW5vW6tabW1ub1nXABCSHBwQL%2FpYKDwsHhUxyxejFcnLFdHXWm1tbm9bq1ptbAAAAAAIAFwABBJkEsAAaADUAAAE3NhYVERQGIyEiJj8BJiMiDgEVIzQ%2BAjMyEzMUDgIjIicHBiY1ETQ2MyEyFg8BFjMyPgEDs4cHCw8L%2FpcLBAeGboF0xXKWW5vWdcDrllub1nXAnIYHCw8LAWgKBQiFboJ0xXIEJIcHBAv%2BlwsPCweGS3LFdHXWm1v9v3XWm1t2hggFCgFoCw8LB4VMcsUAAAAKAGQAAASwBLAADwAfAC8APwBPAF8AbwB%2FAI8AnwAAEyEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0NgczMhYdARQGKwEiJj0BNDYzITIWHQEUBiMhIiY9ATQ2BzMyFh0BFAYrASImPQE0NjMhMhYdARQGIyEiJj0BNDYHMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0Nn0EGgoPDwr75goPDwPA%2FK4KDw8KA1IKDw%2F9CDIKDw8KMgoPD9IBwgoPDwr%2BPgoPD74yCg8PCjIKDw%2FSAcIKDw8K%2Fj4KDw%2B%2BMgoPDwoyCg8P0gHCCg8PCv4%2BCg8PvjIKDw8KMgoPD9IBwgoPDwr%2BPgoPDwSwDwr7ggoPDwoEfgoPyA8K%2FK4KDw8KA1IKD2QPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKDwAAAAACAAAAAARMBLAAGQAjAAABNTQmIyEiBh0BIyIGFREUFjMhMjY1ETQmIyE1NDY7ATIWHQEDhHVT%2FtRSdmQpOzspA4QpOzsp%2FageFMgUHgMgyFN1dlLIOyn9qCk7OykCWCk7lhUdHRWWAAIAZAAABEwETAAJADcAABMzMhYVESMRNDYFMhcWFREUBw4DIyIuAScuAiMiBwYjIicmNRE%2BATc2HgMXHgIzMjc2fTIKD2QPA8AEBRADIUNAMRwaPyonKSxHHlVLBwgGBQ4WeDsXKC4TOQQpLUUdZ1AHBEwPCvvNBDMKDzACBhH%2BWwYGO1AkDQ0ODg8PDzkFAwcPAbY3VwMCAwsGFAEODg5XCAAAAwAAAAAEsASXACEAMQBBAAAAMh4CFREUBisBIiY1ETQuASAOARURFAYrASImNRE0PgEDMzIWFREUBisBIiY1ETQ2ITMyFhURFAYrASImNRE0NgHk6N6jYw8KMgoPjeT%2B%2BuSNDwoyCg9joyqgCAwMCKAIDAwCYKAIDAwIoAgMDASXY6PedP7UCg8PCgEsf9FyctF%2F%2FtQKDw8KASx03qP9wAwI%2FjQIDAwIAcwIDAwI%2FjQIDAwIAcwIDAAAAAACAAAA0wRHA90AFQA5AAABJTYWFREUBiclJisBIiY1ETQ2OwEyBTc2Mh8BFhQPARcWFA8BBiIvAQcGIi8BJjQ%2FAScmND8BNjIXAUEBAgkMDAn%2B%2FhUZ%2BgoPDwr6GQJYeAcUByIHB3h4BwciBxQHeHgHFAciBwd3dwcHIgcUBwMurAYHCv0SCgcGrA4PCgFeCg%2BEeAcHIgcUB3h4BxQHIgcHd3cHByIHFAd4eAcUByIICAAAAAACAAAA0wNyA90AFQAvAAABJTYWFREUBiclJisBIiY1ETQ2OwEyJTMWFxYVFAcGDwEiLwEuATc2NTQnJjY%2FATYBQQECCQwMCf7%2BFRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcDLqwGBwr9EgoHBqwODwoBXgoPZAEJgaGafwkBAQYXBxMIZ36EaggUBxYFAAAAAAMAAADEBGID7AAbADEASwAAATMWFxYVFAYHBgcjIi8BLgE3NjU0JicmNj8BNgUlNhYVERQGJyUmKwEiJjURNDY7ATIlMxYXFhUUBwYPASIvAS4BNzY1NCcmNj8BNgPHAwsGh0RABwoDCQcqCAIGbzs3BgIJKgf9ggECCQwMCf7%2BFRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcD7AEJs9lpy1QJAQYiBhQIlrJarEcJFAYhBb6sBgcK%2FRIKBwasDg8KAV4KD2QBCYGhmn8JAQEGFwcTCGd%2BhGoIFQYWBQAAAAANAAAAAASwBLAACQAVABkAHQAhACUALQA7AD8AQwBHAEsATwAAATMVIxUhFSMRIQEjFTMVIREjESM1IQURIREhESERBSM1MwUjNTMBMxEhETM1MwEzFSMVIzUjNTM1IzUhBREhEQcjNTMFIzUzASM1MwUhNSEB9GRk%2FnBkAfQCvMjI%2FtTIZAJY%2B7QBLAGQASz84GRkArxkZP1EyP4MyGQB9MhkyGRkyAEs%2FUQBLGRkZAOEZGT%2BDGRkAfT%2B1AEsA4RkZGQCWP4MZMgBLAEsyGT%2B1AEs%2FtQBLMhkZGT%2BDP4MAfRk%2FtRkZGRkyGTI%2FtQBLMhkZGT%2B1GRkZAAAAAAJAAAAAASwBLAAAwAHAAsADwATABcAGwAfACMAADcjETMTIxEzASMRMxMjETMBIxEzASE1IRcjNTMXIzUzBSM1M2RkZMhkZAGQyMjIZGQBLMjI%2FOD%2B1AEsyGRkyGRkASzIyMgD6PwYA%2Bj8GAPo%2FBgD6PwYA%2Bj7UGRkW1tbW1sAAAIAAAAKBKYEsAANABUAAAkBFhQHAQYiJwETNDYzBCYiBhQWMjYB9AKqCAj%2BMAgUCP1WAQ8KAUM7Uzs7UzsEsP1WCBQI%2FjAICAKqAdsKD807O1Q7OwAAAAADAAAACgXSBLAADQAZACEAAAkBFhQHAQYiJwETNDYzIQEWFAcBBiIvAQkBBCYiBhQWMjYB9AKqCAj%2BMAgUCP1WAQ8KAwYCqggI%2FjAIFAg4Aaj9RP7TO1M7O1M7BLD9VggUCP4wCAgCqgHbCg%2F9VggUCP4wCAg4AaoCvM07O1Q7OwAAAAABAGQAAASwBLAAJgAAASEyFREUDwEGJjURNCYjISIPAQYWMyEyFhURFAYjISImNRE0PwE2ASwDOUsSQAgKDwr9RBkSQAgFCgK8Cg8PCvyuCg8SixIEsEv8fBkSQAgFCgO2Cg8SQAgKDwr8SgoPDwoDzxkSixIAAAABAMj%2F%2FwRMBLAACgAAEyEyFhURCQERNDb6AyAVHf4%2B%2Fj4dBLAdFfuCAbz%2BQwR%2FFR0AAAAAAwAAAAAEsASwABUARQBVAAABISIGBwMGHwEeATMhMjY%2FATYnAy4BASMiBg8BDgEjISImLwEuASsBIgYVERQWOwEyNj0BNDYzITIWHQEUFjsBMjY1ETQmASEiBg8BBhYzITI2LwEuAQM2%2FkQLEAFOBw45BhcKAcIKFwY%2BDgdTARABVpYKFgROBBYK%2FdoKFgROBBYKlgoPDwqWCg8PCgLuCg8PCpYKDw%2F%2Bsf4MChMCJgILCgJYCgsCJgITBLAPCv7TGBVsCQwMCWwVGAEtCg%2F%2BcA0JnAkNDQmcCQ0PCv12Cg8PCpYKDw8KlgoPDwoCigoP%2FagOCpgKDg4KmAoOAAAAAAQAAABkBLAETAAdACEAKQAxAAABMzIeAh8BMzIWFREUBiMhIiY1ETQ2OwE%2BBAEVMzUEIgYUFjI2NCQyFhQGIiY0AfTIOF00JAcGlik7Oyn8GCk7OymWAgknM10ByGT%2Bz76Hh76H%2Fu9WPDxWPARMKTs7FRQ7Kf2oKTs7KQJYKTsIG0U1K%2F7UZGRGh76Hh74IPFY8PFYAAAAAAgA1AAAEsASvACAAIwAACQEWFx4BHwEVITUyNi8BIQYHBh4CMxUhNTY3PgE%2FAQEDIQMCqQGBFCgSJQkK%2Fl81LBFS%2Fnk6IgsJKjIe%2FpM4HAwaBwcBj6wBVKIEr%2FwaMioTFQECQkJXLd6RWSIuHAxCQhgcDCUNDQPu%2FVoByQAAAAADAGQAAAPwBLAAJwAyADsAAAEeBhUUDgMjITU%2BATURNC4EJzUFMh4CFRQOAgclMzI2NTQuAisBETMyNjU0JisBAvEFEzUwOyodN1htbDD%2BDCk7AQYLFyEaAdc5dWM%2BHy0tEP6Pi05pESpTPnbYUFJ9Xp8CgQEHGB0zOlIuQ3VONxpZBzMoAzsYFBwLEAkHRwEpSXNDM1s6KwkxYUopOzQb%2FK5lUFqBAAABAMgAAANvBLAAGQAAARcOAQcDBhYXFSE1NjcTNjQuBCcmJzUDbQJTQgeECSxK%2Fgy6Dq0DAw8MHxUXDQYEsDkTNSj8uTEoBmFhEFIDQBEaExAJCwYHAwI5AAAAAAL%2FtQAABRQEsAAlAC8AAAEjNC4FKwERFBYfARUhNTI%2BAzURIyIOBRUjESEFIxEzByczESM3BRQyCAsZEyYYGcgyGRn%2BcAQOIhoWyBkYJhMZCwgyA%2Bj7m0tLfX1LS30DhBUgFQ4IAwH8rhYZAQJkZAEFCRUOA1IBAwgOFSAVASzI%2FOCnpwMgpwACACH%2FtQSPBLAAJQAvAAABIzQuBSsBERQWHwEVITUyPgM1ESMiDgUVIxEhEwc1IRUnNxUhNQRMMggLGRMmGBnIMhkZ%2FnAEDiIaFsgZGCYTGQsIMgPoQ6f84KenAyADhBUgFQ4IAwH9dhYZAQJkZAEFCRUOAooBAwgOFSAVASz7gn1LS319S0sABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyAlgVHR0V%2FagVHR0VA%2BgVHR0V%2FBgVHR0VAyAVHR0V%2FOAVHR0VBEwVHR0V%2B7QVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYDITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NgMhMhYdARQGIyEiJj0BNDb6ArwVHR0V%2FUQVHR2zBEwVHR0V%2B7QVHR3dArwVHR0V%2FUQVHR2zBEwVHR0V%2B7QVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AAAE1NDYzITIWHQEUBiMhIiYBNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJgE1NDYzITIWHQEUBiMhIiYB9B0VAlgVHR0V%2FagVHf5wHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHf7UHRUETBUdHRX7tBUdA7ZkFR0dFWQVHR3%2B6WQVHR0VZBUdHf7pZBUdHRVkFR0d%2FulkFR0dFWQVHR0AAAQAAAAABLAETAAPAB8ALwA%2FAAATITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2MgRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dBEwdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AABMzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2MmQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR0ETB0VZBUdHRVkFR0dFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdHRVkFR0dFWQVHf7UHRVkFR0dFWQVHR0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0dFWQVHR0VZBUdAAAG%2F5wAAASwBEwAAwATACMAKgA6AEoAACEjETsCMhYdARQGKwEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2BQc1IzUzNQUhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2AZBkZJZkFR0dFWQVHR0VAfQVHR0V%2FgwVHR3%2B%2BqfIyAHCASwVHR0V%2FtQVHR0VAlgVHR0V%2FagVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR36fUtkS68dFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdAAAABgAAAAAFFARMAA8AEwAjACoAOgBKAAATMzIWHQEUBisBIiY9ATQ2ASMRMwEhMhYdARQGIyEiJj0BNDYFMxUjFSc3BSEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyZBUdHRVkFR0dA2dkZPyuAfQVHR0V%2FgwVHR0EL8jIp6f75gEsFR0dFf7UFR0dFQJYFR0dFf2oFR0dBEwdFWQVHR0VZBUd%2B7QETP7UHRVkFR0dFWQVHchkS319rx0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0AAAAAAgAAAMgEsAPoAA8AEgAAEyEyFhURFAYjISImNRE0NgkCSwLuHywsH%2F0SHywsBIT%2B1AEsA%2BgsH%2F12HywsHwKKHyz9RAEsASwAAwAAAAAEsARMAA8AFwAfAAATITIWFREUBiMhIiY1ETQ2FxE3BScBExEEMhYUBiImNCwEWBIaGhL7qBIaGkr3ASpKASXs%2FNJwTk5wTgRMGhL8DBIaGhID9BIaZP0ftoOcAT7%2B4AH0dE5vT09vAAAAAAIA2wAFBDYEkQAWAB4AAAEyHgEVFAcOAQ8BLgQnJjU0PgIWIgYUFjI2NAKIdcZzRkWyNjYJIV5YbSk8RHOft7eCgreCBJF4ynVzj23pPz4IIWZomEiEdVijeUjDgriBgbgAAAACABcAFwSZBJkADwAXAAAAMh4CFA4CIi4CND4BAREiDgEUHgEB4%2BrWm1tbm9bq1ptbW5sBS3TFcnLFBJlbm9bq1ptbW5vW6tab%2FG8DVnLF6MVyAAACAHUAAwPfBQ8AGgA1AAABHgYVFA4DBy4DNTQ%2BBQMOAhceBBcWNj8BNiYnLgInJjc2IyYCKhVJT1dOPiUzVnB9P1SbfEokP0xXUEm8FykoAwEbITEcExUWAgYCCQkFEikMGiACCAgFD0iPdXdzdYdFR4BeRiYEBTpjl1lFh3ZzeHaQ%2Ff4hS4I6JUEnIw4IBwwQIgoYBwQQQSlZtgsBAAAAAwAAAAAEywRsAAwAKgAvAAABNz4CHgEXHgEPAiUhMhcHISIGFREUFjMhMjY9ATcRFAYjISImNRE0NgkBBzcBA%2BhsAgYUFR0OFgoFBmz9BQGQMje7%2FpApOzspAfQpO8i7o%2F5wpbm5Azj%2BlqE3AWMD9XMBAgIEDw4WKgsKc8gNuzsp%2FgwpOzsptsj%2BtKW5uaUBkKW5%2Ftf%2BljKqAWMAAgAAAAAEkwRMABsANgAAASEGByMiBhURFBYzITI2NTcVFAYjISImNRE0NgUBFhQHAQYmJzUmDgMHPgY3NT4BAV4BaaQ0wyk7OykB9Ck7yLml%2FnClubkCfwFTCAj%2BrAcLARo5ZFRYGgouOUlARioTAQsETJI2Oyn%2BDCk7OymZZ6W5uaUBkKW5G%2F7TBxUH%2Fs4GBAnLAQINFjAhO2JBNB0UBwHSCgUAAAAAAgAAAAAEnQRMAB0ANQAAASEyFwchIgYVERQWMyEyNj0BNxUUBiMhIiY1ETQ2CQE2Mh8BFhQHAQYiLwEmND8BNjIfARYyAV4BXjxDsv6jKTs7KQH0KTvIuaX%2BcKW5uQHKAYsHFQdlBwf97QcVB%2FgHB2UHFQdvCBQETBexOyn%2BDCk7OylFyNulubmlAZCluf4zAYsHB2UHFQf97AcH%2BAcVB2UHB28HAAAAAQAKAAoEpgSmADsAAAkBNjIXARYGKwEVMzU0NhcBFhQHAQYmPQEjFTMyFgcBBiInASY2OwE1IxUUBicBJjQ3ATYWHQEzNSMiJgE%2BAQgIFAgBBAcFCqrICggBCAgI%2FvgICsiqCgUH%2FvwIFAj%2B%2BAgFCq%2FICgj%2B%2BAgIAQgICsivCgUDlgEICAj%2B%2BAgKyK0KBAf%2B%2FAcVB%2F73BwQKrcgKCP74CAgBCAgKyK0KBAcBCQcVBwEEBwQKrcgKAAEAyAAAA4QETAAZAAATMzIWFREBNhYVERQGJwERFAYrASImNRE0NvpkFR0B0A8VFQ%2F%2BMB0VZBUdHQRMHRX%2BSgHFDggV%2FBgVCA4Bxf5KFR0dFQPoFR0AAAABAAAAAASwBEwAIwAAEzMyFhURATYWFREBNhYVERQGJwERFAYnAREUBisBIiY1ETQ2MmQVHQHQDxUB0A8VFQ%2F%2BMBUP%2FjAdFWQVHR0ETB0V%2FkoBxQ4IFf5KAcUOCBX8GBUIDgHF%2FkoVCA4Bxf5KFR0dFQPoFR0AAAABAJ0AGQSwBDMAFQAAAREUBicBERQGJwEmNDcBNhYVEQE2FgSwFQ%2F%2BMBUP%2FhQPDwHsDxUB0A8VBBr8GBUIDgHF%2FkoVCA4B4A4qDgHgDggV%2FkoBxQ4IAAAAAQDIABYEMwQ2AAsAABMBFhQHAQYmNRE0NvMDLhIS%2FNISGRkEMv4OCx4L%2Fg4LDhUD6BUOAAIAyABkA4QD6AAPAB8AABMzMhYVERQGKwEiJjURNDYhMzIWFREUBisBIiY1ETQ2%2BsgVHR0VyBUdHQGlyBUdHRXIFR0dA%2BgdFfzgFR0dFQMgFR0dFfzgFR0dFQMgFR0AAAEAyABkBEwD6AAPAAABERQGIyEiJjURNDYzITIWBEwdFfzgFR0dFQMgFR0DtvzgFR0dFQMgFR0dAAAAAAEAAAAZBBMEMwAVAAABETQ2FwEWFAcBBiY1EQEGJjURNDYXAfQVDwHsDw%2F%2BFA8V%2FjAPFRUPAmQBthUIDv4gDioO%2FiAOCBUBtv47DggVA%2BgVCA4AAAH%2F%2FgACBLMETwAjAAABNzIWFRMUBiMHIiY1AwEGJjUDAQYmNQM0NhcBAzQ2FwEDNDYEGGQUHgUdFWQVHQL%2BMQ4VAv4yDxUFFQ8B0gIVDwHSAh0ETgEdFfwYFR0BHRUBtf46DwkVAbX%2BOQ4JFAPoFQkP%2Fj4BthQJDv49AbYVHQAAAQEsAAAD6ARMABkAAAEzMhYVERQGKwEiJjURAQYmNRE0NhcBETQ2A1JkFR0dFWQVHf4wDxUVDwHQHQRMHRX8GBUdHRUBtv47DggVA%2BgVCA7%2BOwG2FR0AAAIAZADIBLAESAALABsAAAkBFgYjISImNwE2MgEhMhYdARQGIyEiJj0BNDYCrgH1DwkW%2B%2B4WCQ8B9Q8q%2FfcD6BUdHRX8GBUdHQQ5%2FeQPFhYPAhwP%2FUgdFWQVHR0VZBUdAAEAiP%2F8A3UESgAFAAAJAgcJAQN1%2FqABYMX92AIoA4T%2Bn%2F6fxgIoAiYAAAAAAQE7%2F%2FwEKARKAAUAAAkBJwkBNwQo%2FdnGAWH%2Bn8YCI%2F3ZxgFhAWHGAAIAFwAXBJkEmQAPADMAAAAyHgIUDgIiLgI0PgEFIyIGHQEjIgYdARQWOwEVFBY7ATI2PQEzMjY9ATQmKwE1NCYB4%2BrWm1tbm9bq1ptbW5sBfWQVHZYVHR0Vlh0VZBUdlhUdHRWWHQSZW5vW6tabW1ub1urWm7odFZYdFWQVHZYVHR0Vlh0VZBUdlhUdAAAAAAIAFwAXBJkEmQAPAB8AAAAyHgIUDgIiLgI0PgEBISIGHQEUFjMhMjY9ATQmAePq1ptbW5vW6tabW1ubAkX%2BDBUdHRUB9BUdHQSZW5vW6tabW1ub1urWm%2F5%2BHRVkFR0dFWQVHQACABcAFwSZBJkADwAzAAAAMh4CFA4CIi4CND4BBCIPAScmIg8BBhQfAQcGFB8BFjI%2FARcWMj8BNjQvATc2NC8BAePq1ptbW5vW6tabW1ubAeUZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0JCXh4CQmNBJlbm9bq1ptbW5vW6tabrQl4eAkJjQkZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0AAgAXABcEmQSZAA8AJAAAADIeAhQOAiIuAjQ%2BAQEnJiIPAQYUHwEWMjcBNjQvASYiBwHj6tabW1ub1urWm1tbmwEVVAcVCIsHB%2FIHFQcBdwcHiwcVBwSZW5vW6tabW1ub1urWm%2F4xVQcHiwgUCPEICAF3BxUIiwcHAAAAAAMAFwAXBJkEmQAPADsASwAAADIeAhQOAiIuAjQ%2BAQUiDgMVFDsBFjc%2BATMyFhUUBgciDgUHBhY7ATI%2BAzU0LgMTIyIGHQEUFjsBMjY9ATQmAePq1ptbW5vW6tabW1ubAT8dPEIyIRSDHgUGHR8UFw4TARkOGhITDAIBDQ6tBx4oIxgiM0Q8OpYKDw8KlgoPDwSZW5vW6tabW1ub1urWm5ELHi9PMhkFEBQQFRIXFgcIBw4UHCoZCBEQKDhcNi9IKhsJ%2FeMPCpYKDw8KlgoPAAADABcAFwSZBJkADwAfAD4AAAAyHgIUDgIiLgI0PgEFIyIGHQEUFjsBMjY9ATQmAyMiBh0BFBY7ARUjIgYdARQWMyEyNj0BNCYrARE0JgHj6tabW1ub1urWm1tbmwGWlgoPDwqWCg8PCvoKDw8KS0sKDw8KAV4KDw8KSw8EmVub1urWm1tbm9bq1ptWDwqWCg8PCpYKD%2F7UDwoyCg%2FIDwoyCg8PCjIKDwETCg8AAgAAAAAEsASwAC8AXwAAATMyFh0BHgEXMzIWHQEUBisBDgEHFRQGKwEiJj0BLgEnIyImPQE0NjsBPgE3NTQ2ExUUBisBIiY9AQ4BBzMyFh0BFAYrAR4BFzU0NjsBMhYdAT4BNyMiJj0BNDY7AS4BAg2WCg9nlxvCCg8PCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw%2B5DwqWCg9EZheoCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmBLAPCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw8KlgoPZ5cbwgoP%2Fs2oCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmRA8KlgoPRGYAAwAXABcEmQSZAA8AGwA%2FAAAAMh4CFA4CIi4CND4BBCIOARQeATI%2BATQmBxcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyAePq1ptbW5vW6tabW1ubAb%2FoxXJyxejFcnKaQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwdABxUHfHwHFQSZW5vW6tabW1ub1urWmztyxejFcnLF6MVaQAcVB3x8BxUHQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwAAAAMAFwAXBJkEmQAPABsAMAAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgcXFhQHAQYiLwEmND8BNjIfATc2MgHj6tabW1ub1urWm1tbmwG%2F6MVycsXoxXJyg2oHB%2F7ACBQIyggIagcVB0%2FFBxUEmVub1urWm1tbm9bq1ps7csXoxXJyxejFfWoHFQf%2BvwcHywcVB2oICE%2FFBwAAAAMAFwAXBJkEmQAPABgAIQAAADIeAhQOAiIuAjQ%2BAQUiDgEVFBcBJhcBFjMyPgE1NAHj6tabW1ub1urWm1tbmwFLdMVyQQJLafX9uGhzdMVyBJlbm9bq1ptbW5vW6tabO3LFdHhpAktB0P24PnLFdHMAAAAAAQAXAFMEsAP5ABUAABMBNhYVESEyFh0BFAYjIREUBicBJjQnAgoQFwImFR0dFf3aFxD99hACRgGrDQoV%2Ft0dFcgVHf7dFQoNAasNJgAAAAABAAAAUwSZA%2FkAFQAACQEWFAcBBiY1ESEiJj0BNDYzIRE0NgJ%2FAgoQEP32EBf92hUdHRUCJhcD8f5VDSYN%2FlUNChUBIx0VyBUdASMVCgAAAAEAtwAABF0EmQAVAAAJARYGIyERFAYrASImNREhIiY3ATYyAqoBqw0KFf7dHRXIFR3%2B3RUKDQGrDSYEif32EBf92hUdHRUCJhcQAgoQAAAAAQC3ABcEXQSwABUAAAEzMhYVESEyFgcBBiInASY2MyERNDYCJsgVHQEjFQoN%2FlUNJg3%2BVQ0KFQEjHQSwHRX92hcQ%2FfYQEAIKEBcCJhUdAAABAAAAtwSZBF0AFwAACQEWFAcBBiY1EQ4DBz4ENxE0NgJ%2FAgoQEP32EBdesKWBJAUsW4fHfhcEVf5VDSYN%2FlUNChUBIwIkRHVNabGdcUYHAQYVCgACAAAAAASwBLAAFQArAAABITIWFREUBi8BBwYiLwEmND8BJyY2ASEiJjURNDYfATc2Mh8BFhQPARcWBgNSASwVHRUOXvkIFAhqBwf5Xg4I%2FiH%2B1BUdFQ5e%2BQgUCGoHB%2FleDggEsB0V%2FtQVCA5e%2BQcHaggUCPleDhX7UB0VASwVCA5e%2BQcHaggUCPleDhUAAAACAEkASQRnBGcAFQArAAABFxYUDwEXFgYjISImNRE0Nh8BNzYyASEyFhURFAYvAQcGIi8BJjQ%2FAScmNgP2agcH%2BV4OCBX%2B1BUdFQ5e%2BQgU%2FQwBLBUdFQ5e%2BQgUCGoHB%2FleDggEYGoIFAj5Xg4VHRUBLBUIDl75B%2F3xHRX%2B1BUIDl75BwdqCBQI%2BV4OFQAAAAADABcAFwSZBJkADwAfAC8AAAAyHgIUDgIiLgI0PgEFIyIGFxMeATsBMjY3EzYmAyMiBh0BFBY7ATI2PQE0JgHj6tabW1ub1urWm1tbmwGz0BQYBDoEIxQ2FCMEOgQYMZYKDw8KlgoPDwSZW5vW6tabW1ub1urWm7odFP7SFB0dFAEuFB3%2BDA8KlgoPDwqWCg8AAAAABQAAAAAEsASwAEkAVQBhAGgAbwAAATIWHwEWHwEWFxY3Nj8BNjc2MzIWHwEWHwIeATsBMhYdARQGKwEiBh0BIREjESE1NCYrASImPQE0NjsBMjY1ND8BNjc%2BBAUHBhY7ATI2LwEuAQUnJgYPAQYWOwEyNhMhIiY1ESkBERQGIyERAQQJFAUFFhbEFQ8dCAsmxBYXERUXMA0NDgQZCAEPCj0KDw8KMgoP%2FnDI%2FnAPCjIKDw8KPQsOCRkFDgIGFRYfAp2mBwQK2woKAzMDEP41sQgQAzMDCgrnCwMe%2FokKDwGQAlgPCv6JBLAEAgIKDXYNCxUJDRZ2DQoHIREQFRh7LAkLDwoyCg8PCq8BLP7UrwoPDwoyCg8GBQQwgBkUAwgWEQ55ogcKDgqVCgSqnQcECo8KDgr8cg8KAXf%2BiQoPAZAAAAAAAgAAAAwErwSmACsASQAAATYWFQYCDgQuAScmByYOAQ8BBiY1NDc%2BATc%2BAScuAT4BNz4GFyYGBw4BDwEOBAcOARY2Nz4CNz4DNz4BBI0IGgItQmxhi2KORDg9EQQRMxuZGhYqCFUYEyADCQIQOjEnUmFch3vAJQgdHyaiPT44XHRZUhcYDhItIRmKcVtGYWtbKRYEBKYDEwiy%2Ft3IlVgxEQgLCwwBAQIbG5kYEyJAJghKFRE8Hzdff4U%2FM0o1JSMbL0QJGCYvcSEhHjZST2c1ODwEJygeW0AxJUBff1UyFAABAF0AHgRyBM8ATwAAAQ4BHgQXLgc%2BATceAwYHDgQHBicmNzY3PgQuAScWDgMmJy4BJyY%2BBDcGHgM3PgEuAicmPgMCjScfCic4R0IgBBsKGAoQAwEJEg5gikggBhANPkpTPhZINx8SBgsNJysiCRZOQQoVNU1bYC9QZwICBAUWITsoCAYdJzIYHw8YIiYHDyJJYlkEz0OAZVxEOSQMBzgXOB42IzElKRIqg5Gnl0o3Z0c6IAYWCwYNAwQFIDhHXGF1OWiqb0sdBxUknF0XNTQ8PEUiNWNROBYJDS5AQVUhVZloUSkAAAAAA%2F%2FcAGoE1ARGABsAPwBRAAAAMh4FFA4FIi4FND4EBSYGFxYVFAYiJjU0NzYmBwYHDgEXHgQyPgM3NiYnJgUHDgEXFhcWNj8BNiYnJicuAQIGpJ17bk85HBw6T257naKde25POhwcOU9uewIPDwYIGbD4sBcIBw5GWg0ECxYyWl%2BDiINfWjIWCwQMWv3%2FIw8JCSU4EC0OIw4DDywtCyIERi1JXGJcSSpJXGJcSS0tSVxiXEkqSVxiXEncDwYTOT58sLB8OzcTBg9FcxAxEiRGXkQxMEVeRSQSMRF1HiQPLxJEMA0EDyIPJQ8sSRIEAAAABP%2FcAAAE1ASwABQAJwA7AEwAACEjNy4ENTQ%2BBTMyFzczEzceARUUDgMHNz4BNzYmJyYlBgcOARceBBc3LgE1NDc2JhcHDgEXFhcWNj8CJyYnLgECUJQfW6l2WSwcOU9ue51SPUEglCYvbIknUGqYUi5NdiYLBAw2%2FVFGWg0ECxIqSExoNSlrjxcIB3wjDwkJJTgQLQ4MFgMsLQsieBRhdHpiGxVJXGJcSS0Pef5StVXWNBpacm5jGq0xiD8SMRFGckVzEDESHjxRQTkNmhKnbjs3EwZwJA8vEkQwDQQPC1YELEkSBAAAAAP%2FngAABRIEqwALABgAKAAAJwE2FhcBFgYjISImJSE1NDY7ATIWHQEhAQczMhYPAQ4BKwEiJi8BJjZaAoIUOBQCghUbJfryJRsBCgFZDwqWCg8BWf5DaNAUGAQ6BCMUNhQjBDoEGGQEKh8FIfvgIEdEhEsKDw8KSwLT3x0U%2FBQdHRT8FB0AAAABAGQAFQSwBLAAKAAAADIWFREBHgEdARQGJyURFh0BFAYvAQcGJj0BNDcRBQYmPQE0NjcBETQCTHxYAWsPFhgR%2FplkGhPNzRMaZP6ZERgWDwFrBLBYPv6t%2FrsOMRQpFA0M%2Bf75XRRAFRAJgIAJEBVAFF0BB%2FkMDRQpFDEOAUUBUz4AAAARAAAAAARMBLAAHQAnACsALwAzADcAOwA%2FAEMARwBLAE8AUwBXAFsAXwBjAAABMzIWHQEzMhYdASE1NDY7ATU0NjsBMhYdASE1NDYBERQGIyEiJjURFxUzNTMVMzUzFTM1MxUzNTMVMzUFFTM1MxUzNTMVMzUzFTM1MxUzNQUVMzUzFTM1MxUzNTMVMzUzFTM1A1JkFR0yFR37tB0VMh0VZBUdAfQdAQ8dFfwYFR1kZGRkZGRkZGRk%2FHxkZGRkZGRkZGT8fGRkZGRkZGRkZASwHRUyHRWWlhUdMhUdHRUyMhUd%2FnD9EhUdHRUC7shkZGRkZGRkZGRkyGRkZGRkZGRkZGTIZGRkZGRkZGRkZAAAAAMAAAAZBXcElwAZACUANwAAARcWFA8BBiY9ASMBISImPQE0NjsBATM1NDYBBycjIiY9ATQ2MyEBFxYUDwEGJj0BIyc3FzM1NDYEb%2FkPD%2FkOFZ%2F9qP7dFR0dFdECWPEV%2FamNetEVHR0VASMDGvkPD%2FkOFfG1jXqfFQSN5g4qDuYOCBWW%2FagdFWQVHQJYlhUI%2FpiNeh0VZBUd%2Fk3mDioO5g4IFZa1jXqWFQgAAAABAAAAAASwBEwAEgAAEyEyFhURFAYjIQERIyImNRE0NmQD6Ck7Oyn9rP7QZCk7OwRMOyn9qCk7%2FtQBLDspAlgpOwAAAAMAZAAABEwEsAAJABMAPwAAEzMyFh0BITU0NiEzMhYdASE1NDYBERQOBSIuBTURIRUUFRwBHgYyPgYmNTQ9AZbIFR3%2B1B0C0cgVHf7UHQEPBhgoTGacwJxmTCgYBgEsAwcNFB8nNkI2Jx8TDwUFAQSwHRX6%2BhUdHRX6%2BhUd%2FnD%2B1ClJalZcPigoPlxWakkpASz6CRIVKyclIRsWEAgJEBccISUnKhURCPoAAAAB%2F%2F8A1ARMA8IABQAAAQcJAScBBEzG%2Fp%2F%2Bn8UCJwGbxwFh%2Fp%2FHAicAAQAAAO4ETQPcAAUAAAkCNwkBBE392v3ZxgFhAWEDFf3ZAifH%2Fp8BYQAAAAAC%2F1EAZAVfA%2BgAFAApAAABITIWFREzMhYPAQYiLwEmNjsBESElFxYGKwERIRchIiY1ESMiJj8BNjIBlALqFR2WFQgO5g4qDuYOCBWW%2FoP%2BHOYOCBWWAYHX%2FRIVHZYVCA7mDioD6B0V%2FdkVDvkPD%2FkOFQGRuPkOFf5wyB0VAiYVDvkPAAABAAYAAASeBLAAMAAAEzMyFh8BITIWBwMOASMhFyEyFhQGKwEVFAYiJj0BIRUUBiImPQEjIiYvAQMjIiY0NjheERwEJgOAGB4FZAUsIf2HMAIXFR0dFTIdKh3%2B1B0qHR8SHQYFyTYUHh4EsBYQoiUY%2FiUVK8gdKh0yFR0dFTIyFR0dFTIUCQoDwR0qHQAAAAACAAAAAASwBEwACwAPAAABFSE1MzQ2MyEyFhUFIREhBLD7UMg7KQEsKTv9RASw%2B1AD6GRkKTs7Kcj84AACAAAAAAXcBEwADAAQAAATAxEzNDYzITIWFSEVBQEhAcjIyDspASwqOgH0ASz%2B1PtQASwDIP5wAlgpOzspyGT9RAK8AAEBRQAAA2sErwAbAAABFxYGKwERMzIWDwEGIi8BJjY7AREjIiY%2FATYyAnvmDggVlpYVCA7mDioO5g4IFZaWFQgO5g4qBKD5DhX9pxUO%2BQ8P%2BQ4VAlkVDvkPAAAAAQABAUQErwNrABsAAAEXFhQPAQYmPQEhFRQGLwEmND8BNhYdASE1NDYDqPkODvkPFf2oFQ%2F5Dg75DxUCWBUDYOUPKQ%2FlDwkUl5cUCQ%2FlDykP5Q8JFZWVFQkAAAAEAAAAAASwBLAACQAZAB0AIQAAAQMuASMhIgYHAwUhIgYdARQWMyEyNj0BNCYFNTMVMzUzFQSRrAUkFP1gFCQFrAQt%2FBgpOzspA%2BgpOzv%2Bq2RkZAGQAtwXLSgV%2FR1kOylkKTs7KWQpO8hkZGRkAAAAA%2F%2BcAGQEsARMAAsAIwAxAAAAMhYVERQGIiY1ETQDJSMTFgYjIisBIiYnAj0BNDU0PgE7ASUBFSIuAz0BND4CNwRpKh0dKh1k%2FV0mLwMRFQUCVBQdBDcCCwzIAqP8GAQOIhoWFR0dCwRMHRX8rhUdHRUDUhX8mcj%2B7BAIHBUBUQ76AgQQDw36%2FtT6AQsTKRwyGigUDAEAAAACAEoAAARmBLAALAA1AAABMzIWDwEeARcTFzMyFhQGBw4EIyIuBC8BLgE0NjsBNxM%2BATcnJjYDFjMyNw4BIiYCKV4UEgYSU3oPP3YRExwaEggeZGqfTzl0XFU%2BLwwLEhocExF2Pw96UxIGEyQyNDUxDDdGOASwFRMlE39N%2FrmtHSkoBwQLHBYSCg4REg4FBAgoKR2tAUdNfhQgExr7vgYGMT09AAEAFAAUBJwEnAAXAAABNwcXBxcHFycHJwcnBzcnNyc3Jxc3FzcDIOBO6rS06k7gLZubLeBO6rS06k7gLZubA7JO4C2bmy3gTuq0tOpO4C2bmy3gTuq0tAADAAAAZASwBLAAIQAtAD0AAAEzMhYdAQchMhYdARQHAw4BKwEiJi8BIyImNRE0PwI%2BARcPAREzFzMTNSE3NQEzMhYVERQGKwEiJjURNDYCijIoPBwBSCg8He4QLBf6B0YfHz0tNxSRYA0xG2SWZIjW%2Bv4%2BMv12ZBUdHRVkFR0dBLBRLJZ9USxkLR3%2BqBghMhkZJCcBkCQbxMYcKGTU1f6JZAF3feGv%2FtQdFf4MFR0dFQH0FR0AAAAAAwAAAAAEsARMACAAMAA8AAABMzIWFxMWHQEUBiMhFh0BFAYrASImLwImNRE0NjsBNgUzMhYVERQGKwEiJjURNDYhByMRHwEzNSchNQMCWPoXLBDuHTwo%2FrgcPCgyGzENYJEUNy09fP3pZBUdHRVkFR0dAl%2BIZJZkMjIBwvoETCEY%2FqgdLWQsUXYHlixRKBzGxBskAZAnJGRkHRX%2BDBUdHRUB9BUdZP6J1dSv4X0BdwADAAAAZAUOBE8AGwA3AEcAAAElNh8BHgEPASEyFhQGKwEDDgEjISImNRE0NjcXERchEz4BOwEyNiYjISoDLgQnJj8BJwUzMhYVERQGKwEiJjURNDYBZAFrHxZuDQEMVAEuVGxuVGqDBhsP%2FqoHphwOOmQBJYMGGw%2FLFRMSFv44AgoCCQMHAwUDAQwRklb9T2QVHR0VZBUdHQNp5hAWcA0mD3lMkE7%2BrRUoog0CDRElCkj%2BCVkBUxUoMjIBAgIDBQIZFrdT5B0V%2FgwVHR0VAfQVHQAAAAP%2FnABkBLAETwAdADYARgAAAQUeBBURFAYjISImJwMjIiY0NjMhJyY2PwE2BxcWBw4FKgIjIRUzMhYXEyE3ESUFMzIWFREUBisBIiY1ETQ2AdsBbgIIFBANrAf%2Bqg8bBoNqVW1sVAEuVQsBDW4WSpIRDAIDBQMHAwkDCgH%2BJd0PHAaCASZq%2FqoCUGQVHR0VZBUdHQRP5gEFEBEXC%2F3zDaIoFQFTTpBMeQ8mDXAWrrcWGQIFAwICAWQoFf6tWQH37OQdFf4MFR0dFQH0FR0AAAADAGEAAARMBQ4AGwA3AEcAAAAyFh0BBR4BFREUBiMhIiYvAQMmPwE%2BAR8BETQXNTQmBhURHAMOBAcGLwEHEyE3ESUuAQMhMhYdARQGIyEiJj0BNDYB3pBOAVMVKKIN%2FfMRJQoJ5hAWcA0mD3nGMjIBAgIDBQIZFrdT7AH3Wf6tFSiWAfQVHR0V%2FgwVHR0FDm5UaoMGGw%2F%2BqgemHA4OAWsfFm4NAQxUAS5U1ssVExIW%2FjgCCgIJAwcDBQMBDBGSVv6tZAElgwYb%2FQsdFWQVHR0VZBUdAAP%2F%2FQAGA%2BgFFAAPAC0ASQAAASEyNj0BNCYjISIGHQEUFgEVFAYiJjURBwYmLwEmNxM%2BBDMhMhYVERQGBwEDFzc2Fx4FHAIVERQWNj0BNDY3JREnAV4B9BUdHRX%2BDBUdHQEPTpBMeQ8mDXAWEOYBBRARFwsCDQ2iKBX9iexTtxYZAgUDAgIBMjIoFQFTWQRMHRVkFR0dFWQVHfzmalRubFQBLlQMAQ1uFh8BawIIEw8Mpgf%2Bqg8bBgHP%2Fq1WkhEMAQMFAwcDCQIKAv44FhITFcsPGwaDASVkAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBJSYGHQEhIgYdARQWMyEVFBY3JTY0AeLs1ptbW5vW7NabW1ubAob%2B7RAX%2Fu0KDw8KARMXEAETEASaW5vW7NabW1ub1uzWm%2F453w0KFYkPCpYKD4kVCg3fDSYAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgENAQYUFwUWNj0BITI2PQE0JiMhNTQmAeLs1ptbW5vW7NabW1ubASX%2B7RAQARMQFwETCg8PCv7tFwSaW5vW7NabW1ub1uzWm%2BjfDSYN3w0KFYkPCpYKD4kVCgAAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBAyYiBwMGFjsBERQWOwEyNjURMzI2AeLs1ptbW5vW7NabW1ubAkvfDSYN3w0KFYkPCpYKD4kVCgSaW5vW7NabW1ub1uzWm%2F5AARMQEP7tEBf%2B7QoPDwoBExcAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEFIyIGFREjIgYXExYyNxM2JisBETQmAeLs1ptbW5vW7NabW1ubAZeWCg%2BJFQoN3w0mDd8NChWJDwSaW5vW7NabW1ub1uzWm7sPCv7tFxD%2B7RAQARMQFwETCg8AAAMAGAAYBJgEmAAPAJYApgAAADIeAhQOAiIuAjQ%2BASUOAwcGJgcOAQcGFgcOAQcGFgcUFgcyHgEXHgIXHgI3Fg4BFx4CFxQGFBcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQYHBicmNzY3HgIXHgMfAT4CJyY%2BATc%2BAzcmNzIWMjY3LgMnND4CJiceAT8BNi4CJwYHFB4BFS4CJz4BNxYyPgEB5OjVm1xcm9Xo1ZtcXJsBZA8rHDoKDz0PFD8DAxMBAzEFCRwGIgEMFhkHECIvCxU%2FOR0HFBkDDRQjEwcFaHUeISQDDTAMD0UREi4oLBAzDwQBBikEAQMLGhIXExMLBhAGKBsGBxYVEwYFAgsFAwMNFwQGCQcYFgYQCCARFwkKKiFBCwQCAQMDHzcLDAUdLDgNEiEQEgg%2FKhADGgMKEgoRBJhcm9Xo1ZtcXJvV6NWbEQwRBwkCAwYFBycPCxcHInIWInYcCUcYChQECA4QBAkuHgQPJioRFRscBAcSCgwCch0kPiAIAQcHEAsBAgsLIxcBMQENCQIPHxkCFBkdHB4QBgEBBwoMGBENBAMMJSAQEhYXDQ4qFBkKEhIDCQsXJxQiBgEOCQwHAQ0DBAUcJAwSCwRnETIoAwEJCwsLJQcKDBEAAAAAAQAAAAIErwSFABYAAAE2FwUXNxYGBw4BJwEGIi8BJjQ3ASY2AvSkjv79kfsGUE08hjv9rA8rD28PDwJYIk8EhVxliuh%2BWYcrIgsW%2FawQEG4PKxACV2XJAAYAAABgBLAErAAPABMAIwAnADcAOwAAEyEyFh0BFAYjISImPQE0NgUjFTMFITIWHQEUBiMhIiY9ATQ2BSEVIQUhMhYdARQGIyEiJj0BNDYFIRUhZAPoKTs7KfwYKTs7BBHIyPwYA%2BgpOzsp%2FBgpOzsEEf4MAfT8GAPoKTs7KfwYKTs7BBH%2B1AEsBKw7KWQpOzspZCk7ZGTIOylkKTs7KWQpO2RkyDspZCk7OylkKTtkZAAAAAIAZAAABEwEsAALABEAABMhMhYUBiMhIiY0NgERBxEBIZYDhBUdHRX8fBUdHQI7yP6iA4QEsB0qHR0qHf1E%2FtTIAfQB9AAAAAMAAABkBLAEsAAXABsAJQAAATMyFh0BITIWFREhNSMVIRE0NjMhNTQ2FxUzNQEVFAYjISImPQEB9MgpOwEsKTv%2BDMj%2BDDspASw7KcgB9Dsp%2FBgpOwSwOylkOyn%2BcGRkAZApO2QpO2RkZP1EyCk7OynIAAAABAAAAAAEsASwABUAKwBBAFcAABMhMhYPARcWFA8BBiIvAQcGJjURNDYpATIWFREUBi8BBwYiLwEmND8BJyY2ARcWFA8BFxYGIyEiJjURNDYfATc2MgU3NhYVERQGIyEiJj8BJyY0PwE2MhcyASwVCA5exwcHaggUCMdeDhUdAzUBLBUdFQ5exwgUCGoHB8deDgj%2BL2oHB8deDggV%2FtQVHRUOXscIFALLXg4VHRX%2B1BUIDl7HBwdqCBQIBLAVDl7HCBQIagcHx14OCBUBLBUdHRX%2B1BUIDl7HBwdqCBQIx14OFf0maggUCMdeDhUdFQEsFQgOXscHzl4OCBX%2B1BUdFQ5exwgUCGoHBwAAAAYAAAAABKgEqAAPABsAIwA7AEMASwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JiQyFhQGIiY0JDIWFAYjIicHFhUUBiImNTQ2PwImNTQEMhYUBiImNCQyFhQGIiY0Advy3Z9fX5%2Fd8t2gXl6gAcbgv29vv%2BC%2Fb2%2F%2BLS0gIC0gAUwtICAWDg83ETNIMykfegEJ%2FoctICAtIAIdLSAgLSAEqF%2Bf3fLdoF5eoN3y3Z9Xb7%2Fgv29vv%2BC%2FBiAtISEtICAtIQqRFxwkMzMkIDEFfgEODhekIC0gIC0gIC0gIC0AAf%2FYAFoEuQS8AFsAACUBNjc2JicmIyIOAwcABw4EFx4BMzI3ATYnLgEjIgcGBwEOASY0NwA3PgEzMhceARcWBgcOBgcGIyImJyY2NwE2NzYzMhceARcWBgcBDgEnLgECIgHVWwgHdl8WGSJBMD8hIP6IDx4eLRMNBQlZN0ozAiQkEAcdEhoYDRr%2Bqw8pHA4BRyIjQS4ODyw9DQ4YIwwod26La1YOOEBGdiIwGkQB%2F0coW2tQSE5nDxE4Qv4eDyoQEAOtAdZbZWKbEQQUGjIhH%2F6JDxsdNSg3HT5CMwIkJCcQFBcMGv6uDwEcKQ4BTSIjIQEINykvYyMLKnhuiWZMBxtAOU6%2BRAH%2FSBg3ISSGV121Qv4kDwIPDyYAAAACAGQAWASvBEQAGQBEAAABPgIeAhUUDgMHLgQ1ND4CHgEFIg4DIi4DIyIGFRQeAhcWFx4EMj4DNzY3PgQ1NCYCiTB7eHVYNkN5hKg%2BPqeFeEM4WnZ4eQEjIT8yLSohJyktPyJDbxtBMjMPBw86KzEhDSIzKUAMBAgrKT8dF2oDtURIBS1TdkA5eYB%2FslVVsn%2BAeTlAdlMtBUgtJjY1JiY1NiZvTRc4SjQxDwcOPCouGBgwKEALBAkpKkQqMhNPbQACADn%2F8gR3BL4AFwAuAAAAMh8BFhUUBg8BJi8BNycBFwcvASY0NwEDNxYfARYUBwEGIi8BJjQ%2FARYfAQcXAQKru0KNQjgiHR8uEl%2F3%2FnvUaRONQkIBGxJpCgmNQkL%2B5UK6Qo1CQjcdLhJf9wGFBL5CjUJeKmsiHTUuEl%2F4%2FnvUahKNQrpCARv%2BRmkICY1CukL%2B5UJCjUK7Qjc3LxFf%2BAGFAAAAAAMAyAAAA%2BgEsAARABUAHQAAADIeAhURFAYjISImNRE0PgEHESERACIGFBYyNjQCBqqaZDo7Kf2oKTs8Zj4CWP7%2FVj09Vj0EsB4uMhX8Ryk7OykDuRUzLar9RAK8%2FRY9Vj09VgABAAAAAASwBLAAFgAACQEWFAYiLwEBEScBBRMBJyEBJyY0NjIDhgEbDx0qDiT%2B6dT%2BzP7oywEz0gEsAQsjDx0qBKH%2B5g8qHQ8j%2FvX%2B1NL%2BzcsBGAE01AEXJA4qHQAAAAADAScAEQQJBOAAMgBAAEsAAAEVHgQXIy4DJxEXHgQVFAYHFSM1JicuASczHgEXEScuBDU0PgI3NRkBDgMVFB4DFxYXET4ENC4CArwmRVI8LAKfBA0dMydAIjxQNyiym2SWVygZA4sFV0obLkJOMCAyVWg6HSoqFQ4TJhkZCWgWKTEiGBkzNwTgTgUTLD9pQiQuLBsH%2Fs0NBxMtPGQ%2Bi6oMTU8QVyhrVk1iEAFPCA4ZLzlYNkZwSCoGTf4SARIEDh02Jh0rGRQIBgPQ%2FsoCCRYgNEM0JRkAAAABAGQAZgOUBK0ASgAAATIeARUjNC4CIyIGBwYVFB4BFxYXMxUjFgYHBgc%2BATM2FjMyNxcOAyMiLgEHDgEPASc%2BBTc%2BAScjNTMmJy4CPgE3NgIxVJlemSc8OxolVBQpGxoYBgPxxQgVFS02ImIWIIwiUzUyHzY4HCAXanQmJ1YYFzcEGAcTDBEJMAwk3aYXFQcKAg4tJGEErVCLTig%2FIhIdFSw5GkowKgkFZDKCHj4yCg8BIh6TExcIASIfBAMaDAuRAxAFDQsRCjePR2QvORQrREFMIVgAAAACABn%2F%2FwSXBLAADwAfAAABMzIWDwEGIi8BJjY7AREzBRcWBisBESMRIyImPwE2MgGQlhUIDuYOKg7mDggVlsgCF%2BYOCBWWyJYVCA7mDioBLBYO%2Bg8P%2Bg4WA4QQ%2BQ4V%2FHwDhBUO%2BQ8AAAQAGf%2F%2FA%2BgEsAAHABcAGwAlAAABIzUjFSMRIQEzMhYPAQYiLwEmNjsBETMFFTM1EwczFSE1NyM1IQPoZGRkASz9qJYVCA7mDioO5g4IFZbIAZFkY8jI%2FtTIyAEsArxkZAH0%2FHwWDvoPD%2FoOFgOEZMjI%2FRL6ZJb6ZAAAAAAEABn%2F%2FwPoBLAADwAZACEAJQAAATMyFg8BBiIvASY2OwERMwUHMxUhNTcjNSERIzUjFSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAljIyP7UyMgBLGRkZAEsx2QBLBYO%2Bg8P%2Bg4WA4SW%2BmSW%2BmT7UGRkAfRkyMgAAAAEABn%2F%2FwRMBLAADwAVABsAHwAAATMyFg8BBiIvASY2OwERMwEjESM1MxMjNSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAlhkZMhkZMgBLMdkASwWDvoPD%2FoOFgOE%2FgwBkGT7UGQBkGTIyAAAAAAEABn%2F%2FwRMBLAADwAVABkAHwAAATMyFg8BBiIvASY2OwERMwEjNSMRIQcVMzUDIxEjNTMBkJYVCA7mDioO5g4IFZbIArxkyAEsx2QBZGTIASwWDvoPD%2FoOFgOE%2FgxkAZBkyMj7tAGQZAAAAAAFABn%2F%2FwSwBLAADwATABcAGwAfAAABMzIWDwEGIi8BJjY7AREzBSM1MxMhNSETITUhEyE1IQGQlhUIDuYOKg7mDggVlsgB9MjIZP7UASxk%2FnABkGT%2BDAH0ASwWDvoPD%2FoOFgOEyMj%2BDMj%2BDMj%2BDMgABQAZ%2F%2F8EsASwAA8AEwAXABsAHwAAATMyFg8BBiIvASY2OwERMwUhNSEDITUhAyE1IQMjNTMBkJYVCA7mDioO5g4IFZbIAyD%2BDAH0ZP5wAZBk%2FtQBLGTIyAEsFg76Dw%2F6DhYDhMjI%2FgzI%2FgzI%2FgzIAAIAAAAABEwETAAPAB8AAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmAV4BkKK8u6P%2BcKW5uQJn%2FgwpOzspAfQpOzsETLuj%2FnClubmlAZClucg7Kf4MKTs7KQH0KTsAAAAAAwAAAAAETARMAA8AHwArAAABITIWFREUBiMhIiY1ETQ2BSEiBhURFBYzITI2NRE0JgUXFhQPAQYmNRE0NgFeAZClubml%2FnCju7wCZP4MKTs7KQH0KTs7%2Fm%2F9ERH9EBgYBEy5pf5wpbm5pQGQo7vIOyn%2BDCk7OykB9Ck7gr4MJAy%2BDAsVAZAVCwAAAAADAAAAAARMBEwADwAfACsAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFg8BBiIvASY2AV4BkKO7uaX%2BcKW5uQJn%2FgwpOzspAfQpOzv%2BFQGQFQsMvgwkDL4MCwRMvKL%2BcKW5uaUBkKO7yDsp%2FgwpOzspAfQpO8gYEP0REf0QGAAAAAMAAAAABEwETAAPAB8AKwAAASEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFFxYGIyEiJj8BNjIBXgGQpbm5pf5wo7u5Amf%2BDCk7OykB9Ck7O%2F77vgwLFf5wFQsMvgwkBEy5pf5wo7u8ogGQpbnIOyn%2BDCk7OykB9Ck7z%2F0QGBgQ%2FREAAAAAAgAAAAAFFARMAB8ANQAAASEyFhURFAYjISImPQE0NjMhMjY1ETQmIyEiJj0BNDYHARYUBwEGJj0BIyImPQE0NjsBNTQ2AiYBkKW5uaX%2BcBUdHRUBwik7Oyn%2BPhUdHb8BRBAQ%2FrwQFvoVHR0V%2BhYETLml%2FnCluR0VZBUdOykB9Ck7HRVkFR3p%2FuQOJg7%2B5A4KFZYdFcgVHZYVCgAAAQDZAAID1wSeACMAAAEXFgcGAgclMhYHIggBBwYrAScmNz4BPwEhIicmNzYANjc2MwMZCQgDA5gCASwYEQ4B%2Fvf%2B8wQMDgkJCQUCUCcn%2FtIXCAoQSwENuwUJEASeCQoRC%2F5TBwEjEv7K%2FsUFDwgLFQnlbm4TFRRWAS%2FTBhAAAAACAAAAAAT%2BBEwAHwA1AAABITIWHQEUBiMhIgYVERQWMyEyFh0BFAYjISImNRE0NgUBFhQHAQYmPQEjIiY9ATQ2OwE1NDYBXgGQFR0dFf4%2BKTs7KQHCFR0dFf5wpbm5AvEBRBAQ%2FrwQFvoVHR0V%2BhYETB0VZBUdOyn%2BDCk7HRVkFR25pQGQpbnp%2FuQOJg7%2B5A4KFZYdFcgVHZYVCgACAAAAAASwBLAAFQAxAAABITIWFREUBi8BAQYiLwEmNDcBJyY2ASMiBhURFBYzITI2PQE3ERQGIyEiJjURNDYzIQLuAZAVHRUObf7IDykPjQ8PAThtDgj%2B75wpOzspAfQpO8i7o%2F5wpbm5pQEsBLAdFf5wFQgObf7IDw%2BNDykPAThtDhX%2B1Dsp%2FgwpOzsplMj%2B1qW5uaUBkKW5AAADAA4ADgSiBKIADwAbACMAAAAyHgIUDgIiLgI0PgEEIg4BFB4BMj4BNCYEMhYUBiImNAHh7tmdXV2d2e7ZnV1dnQHD5sJxccLmwnFx%2FnugcnKgcgSiXZ3Z7tmdXV2d2e7ZnUdxwubCcXHC5sJzcqBycqAAAAMAAAAABEwEsAAVAB8AIwAAATMyFhURMzIWBwEGIicBJjY7ARE0NgEhMhYdASE1NDYFFTM1AcLIFR31FAoO%2FoEOJw3%2BhQ0JFfod%2FoUD6BUd%2B7QdA2dkBLAdFf6iFg%2F%2BVg8PAaoPFgFeFR38fB0V%2BvoVHWQyMgAAAAMAAAAABEwErAAVAB8AIwAACQEWBisBFRQGKwEiJj0BIyImNwE%2BAQEhMhYdASE1NDYFFTM1AkcBeg4KFfQiFsgUGPoUCw4Bfw4n%2FfkD6BUd%2B7QdA2dkBJ7%2BTQ8g%2BhQeHRX6IQ8BrxAC%2FH8dFfr6FR1kMjIAAwAAAAAETARLABQAHgAiAAAJATYyHwEWFAcBBiInASY0PwE2MhcDITIWHQEhNTQ2BRUzNQGMAXEHFQeLBwf98wcVB%2F7cBweLCBUH1APoFR37tB0DZ2QC0wFxBweLCBUH%2FfMICAEjCBQIiwcH%2FdIdFfr6FR1kMjIABAAAAAAETASbAAkAGQAjACcAABM3NjIfAQcnJjQFNzYWFQMOASMFIiY%2FASc3ASEyFh0BITU0NgUVMzWHjg4qDk3UTQ4CFtIOFQIBHRX9qxUIDtCa1P49A%2BgVHfu0HQNnZAP%2Fjg4OTdRMDyqa0g4IFf2pFB4BFQ7Qm9T9Oh0V%2BvoVHWQyMgAAAAQAAAAABEwEsAAPABkAIwAnAAABBR4BFRMUBi8BByc3JyY2EwcGIi8BJjQ%2FAQEhMhYdASE1NDYFFTM1AV4CVxQeARUO0JvUm9IOCMNMDyoOjg4OTf76A%2BgVHfu0HQNnZASwAgEdFf2rFQgO0JrUmtIOFf1QTQ4Ojg4qDk3%2BWB0V%2BvoVHWQyMgACAAT%2F7ASwBK8ABQAIAAAlCQERIQkBFQEEsP4d%2Fsb%2BcQSs%2FTMCq2cBFP5xAacDHPz55gO5AAAAAAIAAABkBEwEsAAVABkAAAERFAYrAREhESMiJjURNDY7AREhETMHIzUzBEwdFZb9RJYVHR0V%2BgH0ZMhkZAPo%2FK4VHQGQ%2FnAdFQPoFB7%2B1AEsyMgAAAMAAABFBN0EsAAWABoALwAAAQcBJyYiDwEhESMiJjURNDY7AREhETMHIzUzARcWFAcBBiIvASY0PwE2Mh8BATYyBEwC%2FtVfCRkJlf7IlhUdHRX6AfRkyGRkAbBqBwf%2BXAgUCMoICGoHFQdPASkHFQPolf7VXwkJk%2F5wHRUD6BQe%2FtQBLMjI%2Fc5qBxUH%2FlsHB8sHFQdqCAhPASkHAAMAAAANBQcEsAAWABoAPgAAAREHJy4BBwEhESMiJjURNDY7AREhETMHIzUzARcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyBExnhg8lEP72%2FreWFR0dFfoB9GTIZGQB9kYPD4ODDw9GDykPg4MPKQ9GDw%2BDgw8PRg8pD4ODDykD6P7zZ4YPAw7%2B9v5wHRUD6BQe%2FtQBLMjI%2FYxGDykPg4MPKQ9GDw%2BDgw8PRg8pD4ODDykPRg8Pg4MPAAADAAAAFQSXBLAAFQAZAC8AAAERISIGHQEhESMiJjURNDY7AREhETMHIzUzEzMyFh0BMzIWDwEGIi8BJjY7ATU0NgRM%2FqIVHf4MlhUdHRX6AfRkyGRklmQVHZYVCA7mDioO5g4IFZYdA%2Bj%2B1B0Vlv5wHRUD6BQe%2FtQBLMjI%2FagdFfoVDuYODuYOFfoVHQAAAAADAAAAAASXBLAAFQAZAC8AAAERJyYiBwEhESMiJjURNDY7AREhETMHIzUzExcWBisBFRQGKwEiJj0BIyImPwE2MgRMpQ4qDv75%2Fm6WFR0dFfoB9GTIZGTr5g4IFZYdFWQVHZYVCA7mDioD6P5wpQ8P%2Fvf%2BcB0VA%2BgUHv7UASzIyP2F5Q8V%2BhQeHhT6FQ%2FlDwADAAAAyASwBEwACQATABcAABMhMhYdASE1NDYBERQGIyEiJjURExUhNTIETBUd%2B1AdBJMdFfu0FR1kAZAETB0VlpYVHf7U%2FdoVHR0VAib%2B1MjIAAAGAAMAfQStBJcADwAZAB0ALQAxADsAAAEXFhQPAQYmPQEhNSE1NDYBIyImPQE0NjsBFyM1MwE3NhYdASEVIRUUBi8BJjQFIzU7AjIWHQEUBisBA6f4Dg74DhX%2BcAGQFf0vMhUdHRUyyGRk%2FoL3DhUBkP5wFQ73DwOBZGRkMxQdHRQzBI3mDioO5g4IFZbIlhUI%2FoUdFWQVHcjI%2FcvmDggVlsiWFQgO5g4qecgdFWQVHQAAAAACAGQAAASwBLAAFgBRAAABJTYWFREUBisBIiY1ES4ENRE0NiUyFh8BERQOAg8BERQGKwEiJjURLgQ1ETQ%2BAzMyFh8BETMRPAE%2BAjMyFh8BETMRND4DA14BFBklHRXIFR0EDiIaFiX%2B4RYZAgEVHR0LCh0VyBUdBA4iGhYBBwoTDRQZAgNkBQkVDxcZAQFkAQUJFQQxdBIUH%2FuuFR0dFQGNAQgbHzUeAWcfRJEZDA3%2BPhw%2FMSkLC%2F5BFR0dFQG%2FBA8uLkAcAcICBxENCxkMDf6iAV4CBxENCxkMDf6iAV4CBxENCwABAGQAAASwBEwAMwAAARUiDgMVERQWHwEVITUyNjURIREUFjMVITUyPgM1ETQmLwE1IRUiBhURIRE0JiM1BLAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGQGQSxkB9BlLBEw4AQUKFA78iBYZAQI4OA0lAYr%2BdiUNODgBBQoUDgN4FhkBAjg4DSX%2BdgGKJQ04AAAABgAAAAAETARMAAwAHAAgACQAKAA0AAABITIWHQEjBTUnITchBSEyFhURFAYjISImNRE0NhcVITUBBTUlBRUhNQUVFAYjIQchJyE3MwKjAXcVHWn%2B2cj%2BcGQBd%2F4lASwpOzsp%2FtQpOzspASwCvP5wAZD8GAEsArwdFf6JZP6JZAGQyGkD6B0VlmJiyGTIOyn%2BDCk7OykB9Ck7ZMjI%2FveFo4XGyMhm%2BBUdZGTIAAEAEAAQBJ8EnwAmAAATNzYWHwEWBg8BHgEXNz4BHwEeAQ8BBiIuBicuBTcRohEuDosOBhF3ZvyNdxEzE8ATBxGjAw0uMUxPZWZ4O0p3RjITCwED76IRBhPCFDERdo78ZXYRBA6IDi8RogEECBUgNUNjO0qZfHNVQBAAAAACAAAAAASwBEwAIwBBAAAAMh4EHwEVFAYvAS4BPQEmIAcVFAYPAQYmPQE%2BBRIyHgIfARUBHgEdARQGIyEiJj0BNDY3ATU0PgIB%2FLimdWQ%2FLAkJHRTKFB2N%2FsKNHRTKFB0DDTE7ZnTKcFImFgEBAW0OFR0V%2B7QVHRUOAW0CFiYETBUhKCgiCgrIFRgDIgMiFZIYGJIVIgMiAxgVyAQNJyQrIP7kExwcCgoy%2FtEPMhTUFR0dFdQUMg8BLzIEDSEZAAADAAAAAASwBLAADQAdACcAAAEHIScRMxUzNTMVMzUzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYETMj9qMjIyMjIyPyuArwVHR0VDIn8SokMFR0dswRMFR37UB0CvMjIAfTIyMjI%2FOAdKh1kZB0qHf7UHRUyMhUdAAAAAwBkAAAEsARMAAkAEwAdAAABIyIGFREhETQmASMiBhURIRE0JgEhETQ2OwEyFhUCvGQpOwEsOwFnZCk7ASw7%2FRv%2B1DspZCk7BEw7KfwYA%2BgpO%2F7UOyn9RAK8KTv84AGQKTs7KQAAAAAF%2F5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQURByMRMwcRMxHIArx8sLB8%2FUR8sLAYA4T%2BDMjI%2FtTIyAEsAZBkyMhkZARMsHz%2BDHywsHwB9HywyP1EArzIZP7UZGQBLGT%2B1GQB9GT%2B1AEsAAAABf%2BcAAAEsARMAA8AEwAfACUAKQAAEyEyFhURFAYjISImNRE0NhcRIREBIzUjFSMRMxUzNTMFEQcjETMHETMRyAK8fLCwfP1EfLCwGAOE%2FgxkZGRkZGQBkGTIyGRkBEywfP4MfLCwfAH0fLDI%2FUQCvP2oyMgB9MjIZP7UZAH0ZP7UASwABP%2BcAAAEsARMAA8AEwAbACMAABMhMhYVERQGIyEiJjURNDYXESERBSMRMxUhESEFIxEzFSERIcgCvHywsHz9RHywsBgDhP4MyMj%2B1AEsAZDIyP7UASwETLB8%2Fgx8sLB8AfR8sMj9RAK8yP7UZAH0ZP7UZAH0AAAABP%2BcAAAEsARMAA8AEwAWABkAABMhMhYVERQGIyEiJjURNDYXESERAS0BDQERyAK8fLCwfP1EfLCwGAOE%2Fgz%2B1AEsAZD%2B1ARMsHz%2BDHywsHwB9HywyP1EArz%2BDJaWlpYBLAAAAAX%2FnAAABLAETAAPABMAFwAgACkAABMhMhYVERQGIyEiJjURNDYXESERAyERIQcjIgYVFBY7AQERMzI2NTQmI8gCvHywsHz9RHywsBgDhGT9RAK8ZIImOTYpgv4Mgik2OSYETLB8%2Fgx8sLB8AfR8sMj9RAK8%2FagB9GRWQUFUASz%2B1FRBQVYAAAAF%2F5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQEjESM1MwMjNTPIArx8sLB8%2FUR8sLAYA4T%2BDMjI%2FtTIyAEsAZBkZMjIZGQETLB8%2Fgx8sLB8AfR8sMj9RAK8yGT%2B1GRkASz%2BDAGQZP4MZAAG%2F5wAAASwBEwADwATABkAHwAjACcAABMhMhYVERQGIyEiJjURNDYXESERBTMRIREzASMRIzUzBRUzNQEjNTPIArx8sLB8%2FUR8sLAYA4T9RMj%2B1GQCWGRkyP2oZAEsZGQETLB8%2Fgx8sLB8AfR8sMj9RAK8yP5wAfT%2BDAGQZMjIyP7UZAAF%2F5wAAASwBEwADwATABwAIgAmAAATITIWFREUBiMhIiY1ETQ2FxEhEQEHIzU3NSM1IQEjESM1MwMjNTPIArx8sLB8%2FUR8sLAYA4T%2BDMdkx8gBLAGQZGTIx2RkBEywfP4MfLCwfAH0fLDI%2FUQCvP5wyDLIlmT%2BDAGQZP4MZAAAAAMACQAJBKcEpwAPABsAJQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgchFSEVISc1NyEB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWz%2B1AEs%2FtRkZAEsBKdentvw255eXp7b8NueTHHC5MJxccLkwtDIZGTIZAAAAAAEAAkACQSnBKcADwAbACcAKwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgcVBxcVIycjFSMRIQcVMzUB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWwyZGRklmQBLMjIBKdentvw255eXp7b8NueTHHC5MJxccLkwtBkMmQyZGQBkGRkZAAAAv%2Fy%2F50EwgRBACAANgAAATIWFzYzMhYUBisBNTQmIyEiBh0BIyImNTQ2NyY1ND4BEzMyFhURMzIWDwEGIi8BJjY7ARE0NgH3brUsLC54qqp4gB0V%2FtQVHd5QcFZBAmKqepYKD4kVCg3fDSYN3w0KFYkPBEF3YQ6t8a36FR0dFfpzT0VrDhMSZKpi%2FbMPCv7tFxD0EBD0EBcBEwoPAAAAAAL%2F8v%2BcBMMEQQAcADMAAAEyFhc2MzIWFxQGBwEmIgcBIyImNTQ2NyY1ND4BExcWBisBERQGKwEiJjURIyImNzY3NjIB9m62LCsueaoBeFr%2Bhg0lDf6DCU9xVkECYqnm3w0KFYkPCpYKD4kVCg3HGBMZBEF3YQ%2BteGOkHAFoEBD%2Bk3NPRWsOExNkqWP9kuQQF%2F7tCg8PCgETFxDMGBMAAAABAGQAAARMBG0AGAAAJTUhATMBMwkBMwEzASEVIyIGHQEhNTQmIwK8AZD%2B8qr%2B8qr%2B1P7Uqv7yqv7yAZAyFR0BkB0VZGQBLAEsAU3%2Bs%2F7U%2FtRkHRUyMhUdAAAAAAEAeQAABDcEmwAvAAABMhYXHgEVFAYHFhUUBiMiJxUyFh0BITU0NjM1BiMiJjU0Ny4BNTQ2MzIXNCY1NDYCWF6TGll7OzIJaUo3LRUd%2FtQdFS03SmkELzlpSgUSAqMEm3FZBoNaPWcfHRpKaR77HRUyMhUd%2Bx5pShIUFVg1SmkCAhAFdKMAAAAGACcAFASJBJwAEQAqAEIASgBiAHsAAAEWEgIHDgEiJicmAhI3PgEyFgUiBw4BBwYWHwEWMzI3Njc2Nz4BLwEmJyYXIgcOAQcGFh8BFjMyNz4BNz4BLwEmJyYWJiIGFBYyNjciBw4BBw4BHwEWFxYzMjc%2BATc2Ji8BJhciBwYHBgcOAR8BFhcWMzI3PgE3NiYvASYD8m9PT29T2dzZU29PT29T2dzZ%2Fj0EBHmxIgQNDCQDBBcGG0dGYAsNAwkDCwccBAVQdRgEDA0iBAQWBhJROQwMAwkDCwf5Y4xjY4xjVhYGElE6CwwDCQMLBwgEBVB1GAQNDCIEjRcGG0dGYAsNAwkDCwcIBAR5sSIEDQwkAwPyb%2F7V%2FtVvU1dXU28BKwErb1NXVxwBIrF5DBYDCQEWYEZHGwMVDCMNBgSRAhh1UA0WAwkBFTpREgMVCyMMBwT6Y2OMY2MVFTpREQQVCyMMBwQCGHVQDRYDCQEkFmBGRxsDFQwjDQYEASKxeQwWAwkBAAAABQBkAAAD6ASwAAwADwAWABwAIgAAASERIzUhFSERNDYzIQEjNQMzByczNTMDISImNREFFRQGKwECvAEstP6s%2FoQPCgI%2FASzIZKLU1KJktP51Cg8DhA8KwwMg%2FoTIyALzCg%2F%2B1Mj84NTUyP4MDwoBi8jDCg8AAAAABQBkAAAD6ASwAAkADAATABoAIQAAASERCQERNDYzIQEjNRMjFSM1IzcDISImPQEpARUUBisBNQK8ASz%2Bov3aDwoCPwEsyD6iZKLUqv6dCg8BfAIIDwqbAyD9%2BAFe%2FdoERwoP%2FtTI%2FHzIyNT%2BZA8KNzcKD1AAAAAAAwAAAAAEsAP0AAgAGQAfAAABIxUzFyERIzcFMzIeAhUhFSEDETM0PgIBMwMhASEEiqJkZP7UotT9EsgbGiEOASz9qMhkDiEaAnPw8PzgASwB9AMgyGQBLNTUBBErJGT%2BogHCJCsRBP5w%2FnAB9AAAAAMAAAAABEwETAAZADIAOQAAATMyFh0BMzIWHQEUBiMhIiY9ATQ2OwE1NDYFNTIWFREUBiMhIic3ARE0NjMVFBYzITI2AQc1IzUzNQKKZBUdMhUdHRX%2B1BUdHRUyHQFzKTs7Kf2oARP2%2Fro7KVg%2BASw%2BWP201MjIBEwdFTIdFWQVHR0VZBUdMhUd%2BpY7KfzgKTsE9gFGAUQpO5Y%2BWFj95tSiZKIAAwBkAAAEvARMABkANgA9AAABMzIWHQEzMhYdARQGIyEiJj0BNDY7ATU0NgU1MhYVESMRMxQOAiMhIiY1ETQ2MxUUFjMhMjYBBzUjNTM1AcJkFR0yFR0dFf7UFR0dFTIdAXMpO8jIDiEaG%2F2oKTs7KVg%2BASw%2BWAGc1MjIBEwdFTIdFWQVHR0VZBUdMhUd%2BpY7Kf4M%2FtQkKxEEOykDICk7lj5YWP3m1KJkogAAAAP%2FogAABRYE1AALABsAHwAACQEWBiMhIiY3ATYyEyMiBhcTHgE7ATI2NxM2JgMVMzUCkgJ9FyAs%2BwQsIBcCfRZARNAUGAQ6BCMUNhQjBDoEGODIBK37sCY3NyYEUCf%2BTB0U%2FtIUHR0UAS4UHf4MZGQAAAAACQAAAAAETARMAA8AHwAvAD8ATwBfAG8AfwCPAAABMzIWHQEUBisBIiY9ATQ2EzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBqfoKDw8K%2BgoPDwr6Cg8PCvoKDw8BmvoKDw8K%2BgoPD%2Fzq%2BgoPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K%2BgoPD%2Fzq%2BgoPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K%2BgoPDwRMDwqWCg8PCpYKD%2F7UDwqWCg8PCpYKDw8KlgoPDwqWCg%2F%2B1A8KlgoPDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKD%2F7UDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKDw8KlgoPAAAAAwAAAAAEsAUUABkAKQAzAAABMxUjFSEyFg8BBgchJi8BJjYzITUjNTM1MwEhMhYUBisBFyE3IyImNDYDITIWHQEhNTQ2ArxkZAFePjEcQiko%2FPwoKUIcMT4BXmRkyP4%2BArwVHR0VDIn8SooNFR0dswRMFR37UB0EsMhkTzeEUzMzU4Q3T2TIZPx8HSodZGQdKh3%2B1B0VMjIVHQAABAAAAAAEsAUUAAUAGQArADUAAAAyFhUjNAchFhUUByEyFg8BIScmNjMhJjU0AyEyFhQGKwEVBSElNSMiJjQ2AyEyFh0BITU0NgIwUDnCPAE6EgMBSCkHIq%2F9WrIiCikBSAOvArwVHR0VlgET%2FEoBE5YVHR2zBEwVHftQHQUUOykpjSUmCBEhFpGRFiERCCb%2BlR0qHcjIyMgdKh39qB0VMjIVHQAEAAAAAASwBJ0ABwAUACQALgAAADIWFAYiJjQTMzIWFRQXITY1NDYzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYCDZZqapZqty4iKyf%2BvCcrI%2F7NArwVHR0VDYr8SokMFR0dswRMFR37UB0EnWqWamqW%2Fus5Okxra0w6Of5yHSodZGQdKh3%2B1B0VMjIVHQAEAAAAAASwBRQADwAcACwANgAAATIeARUUBiImNTQ3FzcnNhMzMhYVFBchNjU0NjMBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYL1szb5xvIpBvoyIfLiIrJ%2F68Jysj%2Fs0CvBUdHRUNivxKiQwVHR2zBEwVHftQHQUUa4s2Tm9vTj5Rj2%2BjGv4KOTpMa2tMOjn%2Bch0qHWRkHSod%2FtQdFTIyFR0AAAADAAAAAASwBRIAEgAiACwAAAEFFSEUHgMXIS4BNTQ%2BAjcBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYASz%2B1CU%2FP00T%2Fe48PUJtj0r%2BogK8FR0dFQ2K%2FEqJDBUdHbMETBUd%2B1AdBLChizlmUT9IGVO9VFShdksE%2FH4dKh1kZB0qHf7UHRUyMhUdAAIAyAAAA%2BgFFAAPACkAAAAyFh0BHgEdASE1NDY3NTQDITIWFyMVMxUjFTMVIxUzFAYjISImNRE0NgIvUjsuNv5wNi5kAZA2XBqsyMjIyMh1U%2F5wU3V1BRQ7KU4aXDYyMjZcGk4p%2Fkc2LmRkZGRkU3V1UwGQU3UAAAMAZP%2F%2FBEwETAAPAC8AMwAAEyEyFhURFAYjISImNRE0NgMhMhYdARQGIyEXFhQGIi8BIQcGIiY0PwEhIiY9ATQ2BQchJ5YDhBUdHRX8fBUdHQQDtgoPDwr%2B5eANGiUNWP30Vw0mGg3g%2Ft8KDw8BqmQBRGQETB0V%2FgwVHR0VAfQVHf1EDwoyCg%2FgDSUbDVhYDRslDeAPCjIKD2RkZAAAAAAEAAAAAASwBEwAGQAjAC0ANwAAEyEyFh0BIzQmKwEiBhUjNCYrASIGFSM1NDYDITIWFREhETQ2ExUUBisBIiY9ASEVFAYrASImPQHIAyBTdWQ7KfopO2Q7KfopO2R1EQPoKTv7UDvxHRVkFR0D6B0VZBUdBEx1U8gpOzspKTs7KchTdf4MOyn%2B1AEsKTv%2BDDIVHR0VMjIVHR0VMgADAAEAAASpBKwADQARABsAAAkBFhQPASEBJjQ3ATYyCQMDITIWHQEhNTQ2AeACqh8fg%2F4f%2FfsgIAEnH1n%2BrAFWAS%2F%2Bq6IDIBUd%2FHwdBI39VR9ZH4MCBh9ZHwEoH%2F5u%2FqoBMAFV%2FBsdFTIyFR0AAAAAAgCPAAAEIQSwABcALwAAAQMuASMhIgYHAwYWMyEVFBYyNj0BMzI2AyE1NDY7ATU0NjsBETMRMzIWHQEzMhYVBCG9CCcV%2FnAVJwi9CBMVAnEdKh19FROo%2Fa0dFTIdFTDILxUdMhUdAocB%2BhMcHBP%2BBhMclhUdHRWWHP2MMhUdMhUdASz%2B1B0VMh0VAAAEAAAAAASwBLAADQAQAB8AIgAAASERFAYjIREBNTQ2MyEBIzUBIREUBiMhIiY1ETQ2MyEBIzUDhAEsDwr%2Bif7UDwoBdwEsyP2oASwPCv12Cg8PCgF3ASzIAyD9wQoPAk8BLFQKD%2F7UyP4M%2FcEKDw8KA7YKD%2F7UyAAC%2F5wAZAUUBEcARgBWAAABMzIeAhcWFxY2NzYnJjc%2BARYXFgcOASsBDgEPAQ4BKwEiJj8BBisBIicHDgErASImPwEmLwEuAT0BNDY7ATY3JyY2OwE2BSMiBh0BFBY7ATI2PQE0JgHkw0uOakkMEhEfQwoKGRMKBQ8XDCkCA1Y9Pgc4HCcDIhVkFRgDDDEqwxgpCwMiFWQVGAMaVCyfExwdFXwLLW8QBxXLdAFF%2BgoPDwr6Cg8PBEdBa4pJDgYKISAiJRsQCAYIDCw9P1c3fCbqFB0dFEYOCEAUHR0UnUplNQcmFTIVHVdPXw4TZV8PCjIKDw8KMgoPAAb%2FnP%2FmBRQEfgAJACQANAA8AFIAYgAAASU2Fh8BFgYPASUzMhYfASEyFh0BFAYHBQYmJyYjISImPQE0NhcjIgYdARQ7ATI2NTQmJyYEIgYUFjI2NAE3PgEeARceAT8BFxYGDwEGJi8BJjYlBwYfAR4BPwE2Jy4BJy4BAoEBpxMuDiAOAxCL%2FCtqQ0geZgM3FR0cE%2F0fFyIJKjr%2B1D5YWLlQExIqhhALIAsSAYBALS1ALf4PmBIgHhMQHC0aPzANITNQL3wpgigJASlmHyElDR0RPRMFAhQHCxADhPcICxAmDyoNeMgiNtQdFTIVJgeEBBQPQ1g%2ByD5YrBwVODMQEAtEERzJLUAtLUD%2B24ITChESEyMgAwWzPUkrRSgJL5cvfRxYGyYrDwkLNRAhFEgJDAQAAAAAAwBkAAAEOQSwAFEAYABvAAABMzIWHQEeARcWDgIPATIeBRUUDgUjFRQGKwEiJj0BIxUUBisBIiY9ASMiJj0BNDY7AREjIiY9ATQ2OwE1NDY7ATIWHQEzNTQ2AxUhMj4CNTc0LgMjARUhMj4CNTc0LgMjAnGWCg9PaAEBIC4uEBEGEjQwOiodFyI2LUAjGg8KlgoPZA8KlgoPrwoPDwpLSwoPDwqvDwqWCg9kD9cBBxwpEwsBAQsTKRz%2B%2BQFrHCkTCwEBCxMpHASwDwptIW1KLk0tHwYGAw8UKDJOLTtdPCoVCwJLCg8PCktLCg8PCksPCpYKDwJYDwqWCg9LCg8PCktLCg%2F%2B1MgVHR0LCgQOIhoW%2FnDIFR0dCwoEDiIaFgAAAwAEAAIEsASuABcAKQAsAAATITIWFREUBg8BDgEjISImJy4CNRE0NgQiDgQPARchNy4FAyMT1AMMVnokEhIdgVL9xFKCHAgYKHoCIIx9VkcrHQYGnAIwnAIIIClJVSGdwwSuelb%2BYDO3QkJXd3ZYHFrFMwGgVnqZFyYtLSUMDPPzBQ8sKDEj%2FsIBBQACAMgAAAOEBRQADwAZAAABMzIWFREUBiMhIiY1ETQ2ARUUBisBIiY9AQHblmesVCn%2BPilUrAFINhWWFTYFFKxn%2FgwpVFQpAfRnrPwY4RU2NhXhAAACAMgAAAOEBRQADwAZAAABMxQWMxEUBiMhIiY1ETQ2ARUUBisBIiY9AQHbYLOWVCn%2BPilUrAFINhWWFTYFFJaz%2FkIpVFQpAfRnrPwY4RU2NhXhAAACAAAAFAUOBBoAFAAaAAAJASUHFRcVJwc1NzU0Jj4CPwEnCQEFJTUFJQUO%2FYL%2Bhk5klpZkAQEBBQQvkwKCAVz%2Bov6iAV4BXgL%2F%2FuWqPOCWx5SVyJb6BA0GCgYDKEEBG%2F1ipqaTpaUAAAMAZAH0BLADIAAHAA8AFwAAEjIWFAYiJjQkMhYUBiImNCQyFhQGIiY0vHxYWHxYAeh8WFh8WAHofFhYfFgDIFh8WFh8WFh8WFh8WFh8WFh8AAAAAAMBkAAAArwETAAHAA8AFwAAADIWFAYiJjQSMhYUBiImNBIyFhQGIiY0Aeh8WFh8WFh8WFh8WFh8WFh8WARMWHxYWHz%2ByFh8WFh8%2FshYfFhYfAAAAAMAZABkBEwETAAPAB8ALwAAEyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2fQO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PBEwPCpYKDw8KlgoP%2FnAPCpYKDw8KlgoP%2FnAPCpYKDw8KlgoPAAAABAAAAAAEsASwAA8AHwAvADMAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFhURFAYjISImNRE0NhcVITUBXgH0ory7o%2F4Mpbm5Asv9qCk7OykCWCk7O%2F2xAfQVHR0V%2FgwVHR1HAZAEsLuj%2FgylubmlAfSlucg7Kf2oKTs7KQJYKTtkHRX%2B1BUdHRUBLBUdZMjIAAAAAAEAZABkBLAETAA7AAATITIWFAYrARUzMhYUBisBFTMyFhQGKwEVMzIWFAYjISImNDY7ATUjIiY0NjsBNSMiJjQ2OwE1IyImNDaWA%2BgVHR0VMjIVHR0VMjIVHR0VMjIVHR0V%2FBgVHR0VMjIVHR0VMjIVHR0VMjIVHR0ETB0qHcgdKh3IHSodyB0qHR0qHcgdKh3IHSodyB0qHQAAAAYBLAAFA%2BgEowAHAA0AEwAZAB8AKgAAAR4BBgcuATYBMhYVIiYlFAYjNDYBMhYVIiYlFAYjNDYDFRQGIiY9ARYzMgKKVz8%2FV1c%2FP%2F75fLB8sAK8sHyw%2FcB8sHywArywfLCwHSodKAMRBKNDsrJCQrKy%2FsCwfLB8fLB8sP7UsHywfHywfLD%2B05AVHR0VjgQAAAH%2FtQDIBJQDgQBCAAABNzYXAR4BBw4BKwEyFRQOBCsBIhE0NyYiBxYVECsBIi4DNTQzIyImJyY2NwE2HwEeAQ4BLwEHIScHBi4BNgLpRRkUASoLCAYFGg8IAQQNGyc%2FKZK4ChRUFQu4jjBJJxkHAgcPGQYGCAsBKhQaTBQVCiMUM7YDe7YsFCMKFgNuEwYS%2FtkLHw8OEw0dNkY4MhwBIBgXBAQYF%2F7gKjxTQyMNEw4PHwoBKBIHEwUjKBYGDMHBDAUWKCMAAAAAAgAAAAAEsASwACUAQwAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjNC4DKwERFBYXMxUjNTI1ESMiDgMVIzUhBLAyCAsZEyYYGcgyGRn%2BcAQOIhoWyBkYJhMZCwgyA%2Bj9RBkIChgQEWQZDQzIMmQREBgKCBkB9AOEFSAVDggDAfyuFhkBAmRkAQUJFQ4DUgEDCA4VIBUBLP0SDxMKBQH%2BVwsNATIyGQGpAQUKEw%2BWAAAAAAMAAAAABEwErgAdACAAMAAAATUiJy4BLwEBIwEGBw4BDwEVITUiJj8BIRcWBiMVARsBARUUBiMhIiY9ATQ2MyEyFgPoGR4OFgUE%2Ft9F%2FtQSFQkfCwsBETE7EkUBJT0NISf%2B7IZ5AbEdFfwYFR0dFQPoFR0BLDIgDiIKCwLr%2FQ4jFQkTBQUyMisusKYiQTIBhwFW%2Fqr942QVHR0VZBUdHQADAAAAAASwBLAADwBHAEoAABMhMhYVERQGIyEiJjURNDYFIyIHAQYHBgcGHQEUFjMhMjY9ATQmIyInJj8BIRcWBwYjIgYdARQWMyEyNj0BNCYnIicmJyMBJhMjEzIETBUdHRX7tBUdHQJGRg0F%2FtUREhImDAsJAREIDAwINxAKCj8BCjkLEQwYCAwMCAE5CAwLCBEZGQ8B%2FuAFDsVnBLAdFfu0FR0dFQRMFR1SDP0PIBMSEAUNMggMDAgyCAwXDhmjmR8YEQwIMggMDAgyBwwBGRskAuwM%2FgUBCAAABAAAAAAEsASwAAMAEwAjACcAAAEhNSEFITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NhcRIREEsPtQBLD7ggGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHUcBLARMZMgdFfx8FR0dFQOEFR0dFf5wFR0dFQGQFR1k%2FtQBLAAEAAAAAASwBLAADwAfACMAJwAAEyEyFhURFAYjISImNRE0NgEhMhYVERQGIyEiJjURNDYXESEREyE1ITIBkBUdHRX%2BcBUdHQJtAZAVHR0V%2FnAVHR1HASzI%2B1AEsASwHRX8fBUdHRUDhBUd%2FgwdFf5wFR0dFQGQFR1k%2FtQBLP2oZAAAAAACAAAAZASwA%2BgAJwArAAATITIWFREzNTQ2MyEyFh0BMxUjFRQGIyEiJj0BIxEUBiMhIiY1ETQ2AREhETIBkBUdZB0VAZAVHWRkHRX%2BcBUdZB0V%2FnAVHR0CnwEsA%2BgdFf6ilhUdHRWWZJYVHR0Vlv6iFR0dFQMgFR3%2B1P7UASwAAAQAAAAABLAEsAADABMAFwAnAAAzIxEzFyEyFhURFAYjISImNRE0NhcRIREBITIWFREUBiMhIiY1ETQ2ZGRklgGQFR0dFf5wFR0dRwEs%2FqIDhBUdHRX8fBUdHQSwZB0V%2FnAVHR0VAZAVHWT%2B1AEs%2FgwdFf5wFR0dFQGQFR0AAAAAAgBkAAAETASwACcAKwAAATMyFhURFAYrARUhMhYVERQGIyEiJjURNDYzITUjIiY1ETQ2OwE1MwcRIRECWJYVHR0VlgHCFR0dFfx8FR0dFQFelhUdHRWWZMgBLARMHRX%2BcBUdZB0V%2FnAVHR0VAZAVHWQdFQGQFR1kyP7UASwAAAAEAAAAAASwBLAAAwATABcAJwAAISMRMwUhMhYVERQGIyEiJjURNDYXESERASEyFhURFAYjISImNRE0NgSwZGT9dgGQFR0dFf5wFR0dRwEs%2FK4DhBUdHRX8fBUdHQSwZB0V%2FnAVHR0VAZAVHWT%2B1AEs%2FgwdFf5wFR0dFQGQFR0AAAEBLAAwA28EgAAPAAAJAQYjIiY1ETQ2MzIXARYUA2H%2BEhcSDhAQDhIXAe4OAjX%2BEhcbGQPoGRsX%2FhIOKgAAAAABAUEAMgOEBH4ACwAACQE2FhURFAYnASY0AU8B7h0qKh3%2BEg4CewHuHREp%2FBgpER0B7g4qAAAAAAEAMgFBBH4DhAALAAATITIWBwEGIicBJjZkA%2BgpER3%2BEg4qDv4SHREDhCod%2FhIODgHuHSoAAAAAAQAyASwEfgNvAAsAAAkBFgYjISImNwE2MgJ7Ae4dESn8GCkRHQHuDioDYf4SHSoqHQHuDgAAAAACAAgAAASwBCgABgAKAAABFQE1LQE1ASE1IQK8%2FUwBnf5jBKj84AMgAuW2%2Fr3dwcHd%2B9jIAAAAAAIAAABkBLAEsAALADEAAAEjFTMVIREzNSM1IQEzND4FOwERFAYPARUhNSIuAzURMzIeBRUzESEEsMjI%2FtTIyAEs%2B1AyCAsZEyYYGWQyGRkBkAQOIhoWZBkYJhMZCwgy%2FOADhGRkASxkZP4MFSAVDggDAf3aFhkBAmRkAQUJFQ4CJgEDCA4VIBUBLAAAAgAAAAAETAPoACUAMQAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjFTMVIREzNSM1IQMgMggLGRMmGBlkMhkZ%2FnAEDiIaFmQZGCYTGQsIMgMgASzIyP7UyMgBLAK8FSAVDggDAf3aFhkCAWRkAQUJFQ4CJgEDCA4VIBUBLPzgZGQBLGRkAAABAMgAZgNyBEoAEgAAATMyFgcJARYGKwEiJwEmNDcBNgK9oBAKDP4wAdAMChCgDQr%2BKQcHAdcKBEoWDP4w%2FjAMFgkB1wgUCAHXCQAAAQE%2BAGYD6ARKABIAAAEzMhcBFhQHAQYrASImNwkBJjYBU6ANCgHXBwf%2BKQoNoBAKDAHQ%2FjAMCgRKCf4pCBQI%2FikJFgwB0AHQDBYAAAEAZgDIBEoDcgASAAAAFh0BFAcBBiInASY9ATQ2FwkBBDQWCf4pCBQI%2FikJFgwB0AHQA3cKEKANCv4pBwcB1woNoBAKDP4wAdAAAAABAGYBPgRKA%2BgAEgAACQEWHQEUBicJAQYmPQE0NwE2MgJqAdcJFgz%2BMP4wDBYJAdcIFAPh%2FikKDaAQCgwB0P4wDAoQoA0KAdcHAAAAAgDZ%2F%2FkEPQSwAAUAOgAAARQGIzQ2BTMyFh8BNjc%2BAh4EBgcOBgcGIiYjIgYiJy4DLwEuAT4EHgEXJyY2A%2BiwfLD%2BVmQVJgdPBQsiKFAzRyorDwURAQQSFyozTSwNOkkLDkc3EDlfNyYHBw8GDyUqPjdGMR%2BTDA0EsHywfLDIHBPCAQIGBwcFDx81S21DBxlLR1xKQhEFBQcHGWt0bCQjP2hJNyATBwMGBcASGAAAAAACAMgAFQOEBLAAFgAaAAATITIWFREUBisBEQcGJjURIyImNRE0NhcVITX6AlgVHR0Vlv8TGpYVHR2rASwEsB0V%2FnAVHf4MsgkQFQKKHRUBkBUdZGRkAAAAAgDIABkETASwAA4AEgAAEyEyFhURBRElIREjETQ2ARU3NfoC7ic9%2FUQCWP1EZB8BDWQEsFEs%2FFt1A7Z9%2FBgEARc0%2FV1kFGQAAQAAAAECTW%2FDBF9fDzz1AB8EsAAAAADQdnOXAAAAANB2c5f%2FUf%2BcBdwFFAAAAAgAAgAAAAAAAAABAAAFFP%2BFAA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%3D%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIGhvcml6LWFkdi14PSIwIiAvPgo8Z2x5cGggaG9yaXotYWR2LXg9IjQwMCIgLz4KPGdseXBoIHVuaWNvZGU9IiAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzMyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI1IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTYiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyNmZhOyIgZD0iTTc3NCAxMTkzLjVxMTYgLTkuNSAyMC41IC0yN3QtNS41IC0zMy41bC0xMzYgLTE4N2w0NjcgLTc0NmgzMHEyMCAwIDM1IC0xOC41dDE1IC0zOS41di00MmgtMTIwMHY0MnEwIDIxIDE1IDM5LjV0MzUgMTguNWgzMGw0NjggNzQ2bC0xMzUgMTgzcS0xMCAxNiAtNS41IDM0dDIwLjUgMjh0MzQgNS41dDI4IC0yMC41bDExMSAtMTQ4bDExMiAxNTBxOSAxNiAyNyAyMC41dDM0IC01ek02MDAgMjAwaDM3N2wtMTgyIDExMmwtMTk1IDUzNHYtNjQ2eiAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDE5OyIgZD0iTTYwMCAxMTc0cTMzIDAgNzQgLTVsMzggLTE1Mmw1IC0xcTQ5IC0xNCA5NCAtMzlsNSAtMmwxMzQgODBxNjEgLTQ4IDEwNCAtMTA1bC04MCAtMTM0bDMgLTVxMjUgLTQ0IDM5IC05M2wxIC02bDE1MiAtMzhxNSAtNDMgNSAtNzNxMCAtMzQgLTUgLTc0bC0xNTIgLTM4bC0xIC02cS0xNSAtNDkgLTM5IC05M2wtMyAtNWw4MCAtMTM0cS00OCAtNjEgLTEwNCAtMTA1bC0xMzQgODFsLTUgLTNxLTQ0IC0yNSAtOTQgLTM5bC01IC0ybC0zOCAtMTUxIHEtNDMgLTUgLTc0IC01cS0zMyAwIC03NCA1bC0zOCAxNTFsLTUgMnEtNDkgMTQgLTk0IDM5bC01IDNsLTEzNCAtODFxLTYwIDQ4IC0xMDQgMTA1bDgwIDEzNGwtMyA1cS0yNSA0NSAtMzggOTNsLTIgNmwtMTUxIDM4cS02IDQyIC02IDc0cTAgMzMgNiA3M2wxNTEgMzhsMiA2cTEzIDQ4IDM4IDkzbDMgNWwtODAgMTM0cTQ3IDYxIDEwNSAxMDVsMTMzIC04MGw1IDJxNDUgMjUgOTQgMzlsNSAxbDM4IDE1MnE0MyA1IDc0IDV6TTYwMCA4MTUgcS04OSAwIC0xNTIgLTYzdC02MyAtMTUxLjV0NjMgLTE1MS41dDE1MiAtNjN0MTUyIDYzdDYzIDE1MS41dC02MyAxNTEuNXQtMTUyIDYzeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMjA7IiBkPSJNNTAwIDEzMDBoMzAwcTQxIDAgNzAuNSAtMjkuNXQyOS41IC03MC41di0xMDBoMjc1cTEwIDAgMTcuNSAtNy41dDcuNSAtMTcuNXYtNzVoLTExMDB2NzVxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWgyNzV2MTAwcTAgNDEgMjkuNSA3MC41dDcwLjUgMjkuNXpNNTAwIDEyMDB2LTEwMGgzMDB2MTAwaC0zMDB6TTExMDAgOTAwdi04MDBxMCAtNDEgLTI5LjUgLTcwLjV0LTcwLjUgLTI5LjVoLTcwMHEtNDEgMCAtNzAuNSAyOS41dC0yOS41IDcwLjUgdjgwMGg5MDB6TTMwMCA4MDB2LTcwMGgxMDB2NzAwaC0xMDB6TTUwMCA4MDB2LTcwMGgxMDB2NzAwaC0xMDB6TTcwMCA4MDB2LTcwMGgxMDB2NzAwaC0xMDB6TTkwMCA4MDB2LTcwMGgxMDB2NzAwaC0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAyMTsiIGQ9Ik0xOCA2MThsNjIwIDYwOHE4IDcgMTguNSA3dDE3LjUgLTdsNjA4IC02MDhxOCAtOCA1LjUgLTEzdC0xMi41IC01aC0xNzV2LTU3NXEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTI1MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djM3NWgtMzAwdi0zNzVxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC0yNTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY1NzVoLTE3NXEtMTAgMCAtMTIuNSA1dDUuNSAxM3oiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI0OyIgZD0iTTEzMDAgMGgtNTM4bC00MSA0MDBoLTI0MmwtNDEgLTQwMGgtNTM4bDQzMSAxMjAwaDIwOWwtMjEgLTMwMGgxNjJsLTIwIDMwMGgyMDh6TTUxNSA4MDBsLTI3IC0zMDBoMjI0bC0yNyAzMDBoLTE3MHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTYwMCAxMTc3cTExNyAwIDIyNCAtNDUuNXQxODQuNSAtMTIzdDEyMyAtMTg0LjV0NDUuNSAtMjI0dC00NS41IC0yMjR0LTEyMyAtMTg0LjV0LTE4NC41IC0xMjN0LTIyNCAtNDUuNXQtMjI0IDQ1LjV0LTE4NC41IDEyM3QtMTIzIDE4NC41dC00NS41IDIyNHQ0NS41IDIyNHQxMjMgMTg0LjV0MTg0LjUgMTIzdDIyNCA0NS41ek02MDAgMTAyN3EtMTE2IDAgLTIxNC41IC01N3QtMTU1LjUgLTE1NS41dC01NyAtMjE0LjV0NTcgLTIxNC41IHQxNTUuNSAtMTU1LjV0MjE0LjUgLTU3dDIxNC41IDU3dDE1NS41IDE1NS41dDU3IDIxNC41dC01NyAyMTQuNXQtMTU1LjUgMTU1LjV0LTIxNC41IDU3ek01NDAgODIwbDI1MyAtMTkwcTE3IC0xMiAxNyAtMzB0LTE3IC0zMGwtMjUzIC0xOTBxLTE2IC0xMiAtMjggLTYuNXQtMTIgMjYuNXY0MDBxMCAyMSAxMiAyNi41dDI4IC02LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzMDsiIGQ9Ik05NDcgMTA2MGwxMzUgMTM1cTcgNyAxMi41IDV0NS41IC0xM3YtMzYycTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtMzYycS0xMSAwIC0xMyA1LjV0NSAxMi41bDEzMyAxMzNxLTEwOSA3NiAtMjM4IDc2cS0xMTYgMCAtMjE0LjUgLTU3dC0xNTUuNSAtMTU1LjV0LTU3IC0yMTQuNXQ1NyAtMjE0LjV0MTU1LjUgLTE1NS41dDIxNC41IC01N3QyMTQuNSA1N3QxNTUuNSAxNTUuNXQ1NyAyMTQuNWgxNTBxMCAtMTE3IC00NS41IC0yMjQgdC0xMjMgLTE4NC41dC0xODQuNSAtMTIzdC0yMjQgLTQ1LjV0LTIyNCA0NS41dC0xODQuNSAxMjN0LTEyMyAxODQuNXQtNDUuNSAyMjR0NDUuNSAyMjR0MTIzIDE4NC41dDE4NC41IDEyM3QyMjQgNDUuNXExOTIgMCAzNDcgLTExN3oiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQyOyIgZD0iTTUwMCAxMjAwbDY4MiAtNjgycTggLTggOCAtMTh0LTggLTE4bC00NjQgLTQ2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTY4MiA2ODJsMSA0NzVxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWg0NzR6TTgwMCAxMjAwbDY4MiAtNjgycTggLTggOCAtMTh0LTggLTE4bC00NjQgLTQ2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTU2IDU2bDQyNCA0MjZsLTcwMCA3MDBoMTUwek0zMTkuNSAxMDI0LjVxLTI5LjUgMjkuNSAtNzEgMjkuNXQtNzEgLTI5LjUgdC0yOS41IC03MS41dDI5LjUgLTcxLjV0NzEgLTI5LjV0NzEgMjkuNXQyOS41IDcxLjV0LTI5LjUgNzEuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQzOyIgZD0iTTMwMCAxMjAwaDgyNXE3NSAwIDc1IC03NXYtOTAwcTAgLTI1IC0xOCAtNDNsLTY0IC02NHEtOCAtOCAtMTMgLTUuNXQtNSAxMi41djk1MHEwIDEwIC03LjUgMTcuNXQtMTcuNSA3LjVoLTcwMHEtMjUgMCAtNDMgLTE4bC02NCAtNjRxLTggLTggLTUuNSAtMTN0MTIuNSAtNWg3MDBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di05NTBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC04NTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY5NzUgcTAgMjUgMTggNDNsMTM5IDEzOXExOCAxOCA0MyAxOHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQ5OyIgZD0iTTg3NyAxMjAwbDIgLTU3cS04MyAtMTkgLTExNiAtNDUuNXQtNDAgLTY2LjVsLTEzMiAtODM5cS05IC00OSAxMyAtNjl0OTYgLTI2di05N2gtNTAwdjk3cTE4NiAxNiAyMDAgOThsMTczIDgzMnEzIDE3IDMgMzB0LTEuNSAyMi41dC05IDE3LjV0LTEzLjUgMTIuNXQtMjEuNSAxMHQtMjYgOC41dC0zMy41IDEwcS0xMyAzIC0xOSA1djU3aDQyNXoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU0OyIgZD0iTTUwMCA5NTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWg2MDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtNjAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNMTAwIDY1MHYxMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDEwMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTAwMCBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0zMDAgMzUwdjEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjVoODAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTgwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV6TTAgNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDAgcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDY3OyIgZD0iTTM1MCAxMTAwaDM1MHE2MCAwIDEyNyAtMjNsLTE3OCAtMTc3aC0zNDlxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMHEwIC00MSAyOS41IC03MC41dDcwLjUgLTI5LjVoNTAwcTQxIDAgNzAuNSAyOS41dDI5LjUgNzAuNXY2OWwyMDAgMjAwdi0yMTlxMCAtMTY1IC05Mi41IC0yNTcuNXQtMjU3LjUgLTkyLjVoLTQwMHEtMTY1IDAgLTI1Ny41IDkyLjV0LTkyLjUgMjU3LjV2NDAwcTAgMTY1IDkyLjUgMjU3LjV0MjU3LjUgOTIuNXogTTY0MyA2MzlsMzk1IDM5NXE3IDcgMTcuNSA3dDE3LjUgLTdsMTAxIC0xMDFxNyAtNyA3IC0xNy41dC03IC0xNy41bC01MzEgLTUzMnEtNyAtNyAtMTcuNSAtN3QtMTcuNSA3bC0yNDggMjQ4cS03IDcgLTcgMTcuNXQ3IDE3LjVsMTAxIDEwMXE3IDcgMTcuNSA3dDE3LjUgLTdsMTExIC0xMTFxOCAtNyAxOCAtN3QxOCA3eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNjg7IiBkPSJNMzE4IDkxOGwyNjQgMjY0cTggOCAxOCA4dDE4IC04bDI2MCAtMjY0cTcgLTggNC41IC0xM3QtMTIuNSAtNWgtMTcwdi0yMDBoMjAwdjE3M3EwIDEwIDUgMTJ0MTMgLTVsMjY0IC0yNjBxOCAtNyA4IC0xNy41dC04IC0xNy41bC0yNjQgLTI2NXEtOCAtNyAtMTMgLTV0LTUgMTJ2MTczaC0yMDB2LTIwMGgxNzBxMTAgMCAxMi41IC01dC00LjUgLTEzbC0yNjAgLTI2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTI2NCAyNjRxLTggOCAtNS41IDEzIHQxMi41IDVoMTc1djIwMGgtMjAwdi0xNzNxMCAtMTAgLTUgLTEydC0xMyA1bC0yNjQgMjY1cS04IDcgLTggMTcuNXQ4IDE3LjVsMjY0IDI2MHE4IDcgMTMgNXQ1IC0xMnYtMTczaDIwMHYyMDBoLTE3NXEtMTAgMCAtMTIuNSA1dDUuNSAxM3oiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDY5OyIgZD0iTTI1MCAxMTAwaDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNDM4bDQ2NCA0NTNxMTUgMTQgMjUuNSAxMHQxMC41IC0yNXYtMTAwMHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ2NCA0NTN2LTQzOHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcwOyIgZD0iTTUwIDExMDBoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di00MzhsNDY0IDQ1M3ExNSAxNCAyNS41IDEwdDEwLjUgLTI1di00MzhsNDY0IDQ1M3ExNSAxNCAyNS41IDEwdDEwLjUgLTI1di0xMDAwcTAgLTIxIC0xMC41IC0yNXQtMjUuNSAxMGwtNDY0IDQ1M3YtNDM4cTAgLTIxIC0xMC41IC0yNXQtMjUuNSAxMGwtNDY0IDQ1M3YtNDM4cTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNSB0LTE0LjUgMzUuNXYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEyMDAgMTA1MHYtMTAwMHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ2NCA0NTN2LTQzOHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ5MiA0ODBxLTE1IDE0IC0xNSAzNXQxNSAzNWw0OTIgNDgwcTE1IDE0IDI1LjUgMTB0MTAuNSAtMjV2LTQzOGw0NjQgNDUzcTE1IDE0IDI1LjUgMTB0MTAuNSAtMjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3MjsiIGQ9Ik0yNDMgMTA3NGw4MTQgLTQ5OHExOCAtMTEgMTggLTI2dC0xOCAtMjZsLTgxNCAtNDk4cS0xOCAtMTEgLTMwLjUgLTR0LTEyLjUgMjh2MTAwMHEwIDIxIDEyLjUgMjh0MzAuNSAtNHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDczOyIgZD0iTTI1MCAxMDAwaDIwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtODAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0yMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djgwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTY1MCAxMDAwaDIwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtODAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0yMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djgwMCBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNzQ7IiBkPSJNMTEwMCA5NTB2LTgwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtODAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXY4MDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDgwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc5OyIgZD0iTTg4NSA5MDBsLTM1MiAtMzUzbDM1MiAtMzUzbC0xOTcgLTE5OGwtNTUyIDU1Mmw1NTIgNTUweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODA7IiBkPSJNMTA2NCA1NDdsLTU1MSAtNTUxbC0xOTggMTk4bDM1MyAzNTNsLTM1MyAzNTNsMTk4IDE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgxOyIgZD0iTTYwMCAxMTc3cTExNyAwIDIyNCAtNDUuNXQxODQuNSAtMTIzdDEyMyAtMTg0LjV0NDUuNSAtMjI0dC00NS41IC0yMjR0LTEyMyAtMTg0LjV0LTE4NC41IC0xMjN0LTIyNCAtNDUuNXQtMjI0IDQ1LjV0LTE4NC41IDEyM3QtMTIzIDE4NC41dC00NS41IDIyNHQ0NS41IDIyNHQxMjMgMTg0LjV0MTg0LjUgMTIzdDIyNCA0NS41ek02NTAgOTAwaC0xMDBxLTIxIDAgLTM1LjUgLTE0LjV0LTE0LjUgLTM1LjV2LTE1MGgtMTUwIHEtMjEgMCAtMzUuNSAtMTQuNXQtMTQuNSAtMzUuNXYtMTAwcTAgLTIxIDE0LjUgLTM1LjV0MzUuNSAtMTQuNWgxNTB2LTE1MHEwIC0yMSAxNC41IC0zNS41dDM1LjUgLTE0LjVoMTAwcTIxIDAgMzUuNSAxNC41dDE0LjUgMzUuNXYxNTBoMTUwcTIxIDAgMzUuNSAxNC41dDE0LjUgMzUuNXYxMDBxMCAyMSAtMTQuNSAzNS41dC0zNS41IDE0LjVoLTE1MHYxNTBxMCAyMSAtMTQuNSAzNS41dC0zNS41IDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MjsiIGQ9Ik02MDAgMTE3N3ExMTcgMCAyMjQgLTQ1LjV0MTg0LjUgLTEyM3QxMjMgLTE4NC41dDQ1LjUgLTIyNHQtNDUuNSAtMjI0dC0xMjMgLTE4NC41dC0xODQuNSAtMTIzdC0yMjQgLTQ1LjV0LTIyNCA0NS41dC0xODQuNSAxMjN0LTEyMyAxODQuNXQtNDUuNSAyMjR0NDUuNSAyMjR0MTIzIDE4NC41dDE4NC41IDEyM3QyMjQgNDUuNXpNODUwIDcwMGgtNTAwcS0yMSAwIC0zNS41IC0xNC41dC0xNC41IC0zNS41di0xMDBxMCAtMjEgMTQuNSAtMzUuNSB0MzUuNSAtMTQuNWg1MDBxMjEgMCAzNS41IDE0LjV0MTQuNSAzNS41djEwMHEwIDIxIC0xNC41IDM1LjV0LTM1LjUgMTQuNXoiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk0OyIgZD0iTTU1MCAxMjAwaDIwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNTUwaDI5MXEyMSAwIDI2IC0xMS41dC04IC0yNy41bC00MjcgLTUyMnEtMTMgLTE2IC0zMiAtMTZ0LTMyIDE2bC00MjcgNTIycS0xMyAxNiAtOCAyNy41dDI2IDExLjVoMjkxdjU1MHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NTsiIGQ9Ik02MzkgMTEwOWw1MjIgLTQyN3ExNiAtMTMgMTYgLTMydC0xNiAtMzJsLTUyMiAtNDI3cS0xNiAtMTMgLTI3LjUgLTh0LTExLjUgMjZ2MjkxcS05NCAtMiAtMTgyIC0yMHQtMTcwLjUgLTUydC0xNDcgLTkyLjV0LTEwMC41IC0xMzUuNXE1IDEwNSAyNyAxOTMuNXQ2Ny41IDE2N3QxMTMgMTM1dDE2NyA5MS41dDIyNS41IDQydjI2MnEwIDIxIDExLjUgMjZ0MjcuNSAtOHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk2OyIgZD0iTTg1MCAxMjAwaDMwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMzAwcTAgLTIxIC0xMC41IC0yNXQtMjQuNSAxMGwtOTQgOTRsLTI0OSAtMjQ5cS04IC03IC0xOCAtN3QtMTggN2wtMTA2IDEwNnEtNyA4IC03IDE4dDcgMThsMjQ5IDI0OWwtOTQgOTRxLTE0IDE0IC0xMCAyNC41dDI1IDEwLjV6TTM1MCAwaC0zMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djMwMHEwIDIxIDEwLjUgMjV0MjQuNSAtMTBsOTQgLTk0bDI0OSAyNDkgcTggNyAxOCA3dDE4IC03bDEwNiAtMTA2cTcgLTggNyAtMTh0LTcgLTE4bC0yNDkgLTI0OWw5NCAtOTRxMTQgLTE0IDEwIC0yNC41dC0yNSAtMTAuNXoiIC8%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%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%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%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%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%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%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%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%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%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%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%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTYyOyIgZD0iTTc5MyAxMTgybDkgLTlxOCAtMTAgNSAtMjdxLTMgLTExIC03OSAtMjI1LjV0LTc4IC0yMjEuNWwzMDAgMXEyNCAwIDMyLjUgLTE3LjV0LTUuNSAtMzUuNXEtMSAwIC0xMzMuNSAtMTU1dC0yNjcgLTMxMi41dC0xMzguNSAtMTYyLjVxLTEyIC0xNSAtMjYgLTE1aC05bC05IDhxLTkgMTEgLTQgMzJxMiA5IDQyIDEyMy41dDc5IDIyNC41bDM5IDExMGgtMzAycS0yMyAwIC0zMSAxOXEtMTAgMjEgNiA0MXE3NSA4NiAyMDkuNSAyMzcuNSB0MjI4IDI1N3Q5OC41IDExMS41cTkgMTYgMjUgMTZoOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTYzOyIgZD0iTTM1MCAxMTAwaDQwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC00NTBxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMHEwIC00MSAyOS41IC03MC41dDcwLjUgLTI5LjVoNDUwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTQwMHEtMTY1IDAgLTI1Ny41IDkyLjV0LTkyLjUgMjU3LjV2NDAwIHEwIDE2NSA5Mi41IDI1Ny41dDI1Ny41IDkyLjV6TTkzOCA4NjdsMzI0IC0yODRxMTYgLTE0IDE2IC0zM3QtMTYgLTMzbC0zMjQgLTI4NHEtMTYgLTE0IC0yNyAtOXQtMTEgMjZ2MTUwaC0yNTBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djIwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjVoMjUwdjE1MHEwIDIxIDExIDI2dDI3IC05eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxNjQ7IiBkPSJNNzUwIDEyMDBoNDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di00MDBxMCAtMjEgLTEwLjUgLTI1dC0yNC41IDEwbC0xMDkgMTA5bC0zMTIgLTMxMnEtMTUgLTE1IC0zNS41IC0xNXQtMzUuNSAxNWwtMTQxIDE0MXEtMTUgMTUgLTE1IDM1LjV0MTUgMzUuNWwzMTIgMzEybC0xMDkgMTA5cS0xNCAxNCAtMTAgMjQuNXQyNSAxMC41ek00NTYgOTAwaC0xNTZxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMCBxMCAtNDEgMjkuNSAtNzAuNXQ3MC41IC0yOS41aDUwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2MTQ4bDIwMCAyMDB2LTI5OHEwIC0xNjUgLTkzLjUgLTI1Ny41dC0yNTYuNSAtOTIuNWgtNDAwcS0xNjUgMCAtMjU3LjUgOTIuNXQtOTIuNSAyNTcuNXY0MDBxMCAxNjUgOTIuNSAyNTcuNXQyNTcuNSA5Mi41aDMwMHoiIC8%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTkwOyIgZD0iTTIwMCAxMTAwaDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEydjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4ek0xMDAgOTAwdi03MDBoOTAwdjcwMGgtOTAwek05MDAgMzAwaC03MDB2NTAwaDcwMHYtNTAwek04MDAgNzAwaC0xMzBxLTM4IDAgLTY2LjUgLTQzdC0yOC41IC0xMDh0MjcgLTEwN3Q2OCAtNDJoMTMwdjMwMHpNMzAwIDcwMHYtMzAwIGgxMzBxNDEgMCA2OCA0MnQyNyAxMDd0LTI4LjUgMTA4dC02Ni41IDQzaC0xMzB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE5MTsiIGQ9Ik0yMDAgMTEwMGg3MDBxMTI0IDAgMjEyIC04OHQ4OCAtMjEydi01MDBxMCAtMTI0IC04OCAtMjEydC0yMTIgLTg4aC03MDBxLTEyNCAwIC0yMTIgODh0LTg4IDIxMnY1MDBxMCAxMjQgODggMjEydDIxMiA4OHpNMTAwIDkwMHYtNzAwaDkwMHY3MDBoLTkwMHpNNTAwIDcwMGgtMjAwdi0xMDBoMjAwdi0zMDBoLTMwMHYxMDBoMjAwdjEwMGgtMjAwdjMwMGgzMDB2LTEwMHpNOTAwIDMwMGgtMTAwdjQwMGgtMTAwdjEwMGgyMDB2LTUwMHogTTcwMCAzMDBoLTEwMHYxMDBoMTAwdi0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE5MjsiIGQ9Ik0yMDAgMTEwMGg3MDBxMTI0IDAgMjEyIC04OHQ4OCAtMjEydi01MDBxMCAtMTI0IC04OCAtMjEydC0yMTIgLTg4aC03MDBxLTEyNCAwIC0yMTIgODh0LTg4IDIxMnY1MDBxMCAxMjQgODggMjEydDIxMiA4OHpNMTAwIDkwMHYtNzAwaDkwMHY3MDBoLTkwMHpNMzAwIDcwMGgyMDB2LTQwMGgtMzAwdjUwMGgxMDB2LTEwMHpNOTAwIDMwMGgtMTAwdjQwMGgtMTAwdjEwMGgyMDB2LTUwMHpNMzAwIDYwMHYtMjAwaDEwMHYyMDBoLTEwMHogTTcwMCAzMDBoLTEwMHYxMDBoMTAwdi0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE5MzsiIGQ9Ik0yMDAgMTEwMGg3MDBxMTI0IDAgMjEyIC04OHQ4OCAtMjEydi01MDBxMCAtMTI0IC04OCAtMjEydC0yMTIgLTg4aC03MDBxLTEyNCAwIC0yMTIgODh0LTg4IDIxMnY1MDBxMCAxMjQgODggMjEydDIxMiA4OHpNMTAwIDkwMHYtNzAwaDkwMHY3MDBoLTkwMHpNNTAwIDUwMGwtMTk5IC0yMDBoLTEwMHY1MGwxOTkgMjAwdjE1MGgtMjAwdjEwMGgzMDB2LTMwMHpNOTAwIDMwMGgtMTAwdjQwMGgtMTAwdjEwMGgyMDB2LTUwMHpNNzAxIDMwMGgtMTAwIHYxMDBoMTAwdi0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE5NDsiIGQ9Ik02MDAgMTE5MXExMjAgMCAyMjkuNSAtNDd0MTg4LjUgLTEyNnQxMjYgLTE4OC41dDQ3IC0yMjkuNXQtNDcgLTIyOS41dC0xMjYgLTE4OC41dC0xODguNSAtMTI2dC0yMjkuNSAtNDd0LTIyOS41IDQ3dC0xODguNSAxMjZ0LTEyNiAxODguNXQtNDcgMjI5LjV0NDcgMjI5LjV0MTI2IDE4OC41dDE4OC41IDEyNnQyMjkuNSA0N3pNNjAwIDEwMjFxLTExNCAwIC0yMTEgLTU2LjV0LTE1My41IC0xNTMuNXQtNTYuNSAtMjExdDU2LjUgLTIxMSB0MTUzLjUgLTE1My41dDIxMSAtNTYuNXQyMTEgNTYuNXQxNTMuNSAxNTMuNXQ1Ni41IDIxMXQtNTYuNSAyMTF0LTE1My41IDE1My41dC0yMTEgNTYuNXpNODAwIDcwMGgtMzAwdi0yMDBoMzAwdi0xMDBoLTMwMGwtMTAwIDEwMHYyMDBsMTAwIDEwMGgzMDB2LTEwMHoiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjIxOyIgZD0iTTQ4MCAxMTY1bDY4MiAtNjgzcTMxIC0zMSAzMSAtNzUuNXQtMzEgLTc1LjVsLTEzMSAtMTMxaC00ODFsLTUxNyA1MThxLTMyIDMxIC0zMiA3NS41dDMyIDc1LjVsMjk1IDI5NnEzMSAzMSA3NS41IDMxdDc2LjUgLTMxek0xMDggNzk0bDM0MiAtMzQybDMwMyAzMDRsLTM0MSAzNDF6TTI1MCAxMDBoODAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di01MGgtOTAwdjUwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUwOyIgZD0iTTg2NSA1NjVsLTQ5NCAtNDk0cS0yMyAtMjMgLTQxIC0yM3EtMTQgMCAtMjIgMTMuNXQtOCAzOC41djEwMDBxMCAyNSA4IDM4LjV0MjIgMTMuNXExOCAwIDQxIC0yM2w0OTQgLTQ5NHExNCAtMTQgMTQgLTM1dC0xNCAtMzV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTI1MTsiIGQ9Ik0zMzUgNjM1bDQ5NCA0OTRxMjkgMjkgNTAgMjAuNXQyMSAtNDkuNXYtMTAwMHEwIC00MSAtMjEgLTQ5LjV0LTUwIDIwLjVsLTQ5NCA0OTRxLTE0IDE0IC0xNCAzNXQxNCAzNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUyOyIgZD0iTTEwMCA5MDBoMTAwMHE0MSAwIDQ5LjUgLTIxdC0yMC41IC01MGwtNDk0IC00OTRxLTE0IC0xNCAtMzUgLTE0dC0zNSAxNGwtNDk0IDQ5NHEtMjkgMjkgLTIwLjUgNTB0NDkuNSAyMXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUzOyIgZD0iTTYzNSA4NjVsNDk0IC00OTRxMjkgLTI5IDIwLjUgLTUwdC00OS41IC0yMWgtMTAwMHEtNDEgMCAtNDkuNSAyMXQyMC41IDUwbDQ5NCA0OTRxMTQgMTQgMzUgMTR0MzUgLTE0eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyNTQ7IiBkPSJNNzAwIDc0MXYtMTgybC02OTIgLTMyM3YyMjFsNDEzIDE5M2wtNDEzIDE5M3YyMjF6TTEyMDAgMGgtODAwdjIwMGg4MDB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU1OyIgZD0iTTEyMDAgOTAwaC0yMDB2LTEwMGgyMDB2LTEwMGgtMzAwdjMwMGgyMDB2MTAwaC0yMDB2MTAwaDMwMHYtMzAwek0wIDcwMGg1MHEwIDIxIDQgMzd0OS41IDI2LjV0MTggMTcuNXQyMiAxMXQyOC41IDUuNXQzMSAydDM3IDAuNWgxMDB2LTU1MHEwIC0yMiAtMjUgLTM0LjV0LTUwIC0xMy41bC0yNSAtMnYtMTAwaDQwMHYxMDBxLTQgMCAtMTEgMC41dC0yNCAzdC0zMCA3dC0yNCAxNXQtMTEgMjQuNXY1NTBoMTAwcTI1IDAgMzcgLTAuNXQzMSAtMiB0MjguNSAtNS41dDIyIC0xMXQxOCAtMTcuNXQ5LjUgLTI2LjV0NCAtMzdoNTB2MzAwaC04MDB2LTMwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU2OyIgZD0iTTgwMCA3MDBoLTUwcTAgMjEgLTQgMzd0LTkuNSAyNi41dC0xOCAxNy41dC0yMiAxMXQtMjguNSA1LjV0LTMxIDJ0LTM3IDAuNWgtMTAwdi01NTBxMCAtMjIgMjUgLTM0LjV0NTAgLTE0LjVsMjUgLTF2LTEwMGgtNDAwdjEwMHE0IDAgMTEgMC41dDI0IDN0MzAgN3QyNCAxNXQxMSAyNC41djU1MGgtMTAwcS0yNSAwIC0zNyAtMC41dC0zMSAtMnQtMjguNSAtNS41dC0yMiAtMTF0LTE4IC0xNy41dC05LjU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+<h1 class="title toc-ignore">r2ogs6 User Guide</h1>
+<h4 class="author">Ruben Heinrich</h4>
+
+</div>
+
+
+<pre class="r"><code>library(r2ogs6)
+library(ggplot2)</code></pre>
+<div id="prerequisites" class="section level2">
+<h2>Prerequisites</h2>
+<p>This guide assumes you have <code>r2ogs6</code> and its dependencies installed. If that’s not the case, please take a look at the installation instructions provided in the <code>README.md</code> file of the repository.</p>
+<p>After loading <code>r2ogs6</code>, we first need to set the package options so it knows where to look for OpenGeoSys 6.</p>
+<pre class="r"><code># Set path for OpenGeoSys 6
+options("r2ogs6.default_ogs6_bin_path" = "your_ogs6_bin_path")</code></pre>
+</div>
+<div id="creating-your-simulation-object" class="section level2">
+<h2>Creating your simulation object</h2>
+<p>To represent a simulation object, <code>r2ogs6</code> uses an <code>R6</code> class called <code>OGS6</code>. If you’re new to <code>R6</code> objects, don’t worry. Creating a simulation object is easy. We call the class constructor and provide it with some parameters:</p>
+<ul>
+<li><p><code>sim_name</code> The name of your simulation</p></li>
+<li><p><code>sim_path</code> All relevant files for your simulation will be in here</p></li>
+</ul>
+<pre class="r"><code># Change this to fit your system
+# sim_path <- system.file("extdata/benchmarks/flow_no_strain",
+# package = "r2ogs6")
+sim_path <- tempdir()
+ogs6_obj <- OGS6$new(sim_name = "my_simulation",
+ sim_path = sim_path)</code></pre>
+<p>And that’s it, we now have a simulation object.</p>
+</div>
+<div id="defining-the-simulation-parameters" class="section level2">
+<h2>Defining the simulation parameters</h2>
+<p>From here on there’s two ways you can define the simulation parameters. Either you load a benchmark file or you define your simulation manually.</p>
+<div id="loading-a-benchmark-file" class="section level3">
+<h3>Loading a benchmark file</h3>
+<p>The quickest and easiest way to define a simulation is by using an already existing benchmark. If you take a look at the <a href="https://www.opengeosys.org/docs/benchmarks/elliptic/elliptic-dirichlet/">OpenGeoSys documentation</a>, you’ll find plenty of benchmarks to choose from along with a link to their project file on GitLab at the top of the respective page.</p>
+<p>For demonstration purposes, I will use a project from the <code>HydroMechanics</code> benchmarks, which can be found <a href="https://gitlab.opengeosys.org/ogs/ogs/-/tree/master/Tests/Data/HydroMechanics/IdealGas/flow_no_strain">here</a>.</p>
+<pre class="r"><code># Change this to fit your system
+prj_path <- paste0(sim_path, "/flow_no_strain.prj")
+prj_path <- system.file("extdata/benchmarks/flow_no_strain/flow_no_strain.prj",
+ package = "r2ogs6")
+read_in_prj(ogs6_obj, prj_path = prj_path, read_in_gml = T)</code></pre>
+<p>NOTE: <code>r2ogs6</code> has not been tested with every existing benchmark. Due to the large number of input parameters, you might encounter cases where the import fails.</p>
+</div>
+<div id="setting-up-your-own-opengeosys-6-simulation" class="section level3">
+<h3>Setting up your own OpenGeoSys 6 simulation</h3>
+<p>Setting up your own simulation is possible too.</p>
+<p>Since there’s plenty of required and optional input parameters, you might want to call <code>get_status()</code> occasionally to get a brief overview of your simulation. This tells you which input parameters are missing before you can run a simulation.</p>
+<pre class="r"><code># Call on the OGS6 object (note the R6 style)
+ogs6_obj$get_status()
+#> ✓ 'processes' has at least one element
+#> ✓ 'time_loop' is defined
+#> ✓ 'nonlinear_solvers' has at least one element
+#> ✓ 'linear_solvers' has at least one element
+#> ✓ 'parameters' has at least one element
+#> ✓ 'process_variables' has at least one element
+#> ✗ 'mesh' is defined
+#> ✓ 'geometry' is defined
+#> ✓ 'media' has at least one element
+#> ✗ 'test_definition' has at least one element
+#> ✗ 'curves' has at least one element
+#> ✓ 'meshes' has at least one element
+#> ✗ 'local_coordinate_system' is defined
+#> ✗ 'search_length_algorithm' is defined
+#> ✗ 'chemical_system' is defined
+#> ✗ 'python_script' is defined
+#> ✗ 'insitu' is definedYour OGS6 object has all necessary components.
+#> You can try calling ogs6_run_simulation().Note that this calls more validation functions, so you may not be done just yet.</code></pre>
+<p>Since we haven’t defined anything so far, you’ll see a lot of red there. But the results gave us a hint what we can add. We’ll go from there and try to find out more about the possible input data. Say we want to find out more about <code>process</code> objects.</p>
+<pre class="r"><code># To take a look at the documentation, use ? followed by the name of a class
+?prj_process
+#> ℹ Rendering development documentation for "prj_process"</code></pre>
+<p>As a rule of thumb, classes are named with the prefix <code>prj_</code> followed by their XML tag name in the <code>.prj</code> file. The only exceptions to this rule are subclasses where this would lead to duplicate class names. The class <code>prj_time_loop</code> for example contains a subclass representing a <code>process</code> child element which is not to be confused with the <code>process</code> children of the first level <code>processes</code> node directly under the root node of the <code>.prj</code> file. Because of this, that subclass is named <code>prj_tl_process</code>. Let’s try adding something now.</p>
+<p>To add data to our simulation object, we use <code>OGS6$add()</code>. We can use this method with any top level <code>.prj</code> element, which means we’re not limited to <code>prj_parameter</code> objects.</p>
+<pre class="r"><code># Add a parameter
+ogs6_obj$add(prj_parameter(name = "E",
+ type = "Constant",
+ value = 1e+10))
+
+
+# Add a process variable
+ogs6_obj$add(
+ prj_process_variable(
+ name = "pressure",
+ components = 1,
+ order = 1,
+ initial_condition = "pressure0",
+ boundary_conditions = list(
+ boundary_condition = prj_boundary_condition(
+ type = "Neumann",
+ parameter = "flux_in",
+ geometrical_set = "cube_1x1x1_geometry",
+ geometry = "left",
+ component = 0
+ )
+ )
+ )
+)</code></pre>
+<p>Since I already read in a <code>.prj</code> file earlier, I won’t run the above snippet. If you’d like a complete example of manually defining simulation parameters, there’s a script <code>flow_free_expansion.R</code> in the <code>examples/workflow_demos</code> folder.</p>
+</div>
+</div>
+<div id="running-the-simulation" class="section level2">
+<h2>Running the simulation</h2>
+<p>As soon as we’ve added all necessary parameters, we can try starting our simulation. This will run a few additional checks and then start OpenGeoSys 6. If <code>write_logfile</code> is set to <code>FALSE</code>, the output from OpenGeoSys 6 will be shown on the console.</p>
+<pre class="r"><code>ogs6_run_simulation(ogs6_obj, write_logfile = TRUE)</code></pre>
+</div>
+<div id="retrieve-the-results" class="section level2">
+<h2>Retrieve the results</h2>
+<p>After our simulation is finished, we might want to plot some results. But how do we retrieve them? If all went as expected, we don’t need to call an extra function for that because <code>ogs6_run_simulation()</code> already calls <code>ogs6_read_output_files()</code> internally. We only need to decide what information we want to extract. Say we’re interested in the <code>pressure</code> Parameter from the last timestep. For this easy example, only one <code>.pvd</code> file was produced.</p>
+<pre class="r"><code>ogs6_read_output_files(ogs6_obj)</code></pre>
+<pre class="r"><code># Extract relevant info into dataframe
+result_df <- ogs6_obj$pvds[[1]]$get_point_data(keys = c("pressure"))
+result_df <- result_df[(result_df$timestep!=0),]
+
+# Plot results
+ggplot(result_df,
+ aes(x = x,
+ y = y,
+ color = pressure)) +
+ geom_point() +
+ #geom_raster(interpolate = T)+
+ #geom_contour_filled()+
+ xlab("x coordinate") +
+ ylab("y coordinate") +
+ theme_bw()</code></pre>
+<p><img 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width="480" /></p>
+</div>
+<div id="running-multiple-simulations" class="section level2">
+<h2>Running multiple simulations</h2>
+<p>If we want to run not one but multiple simulations, we can use the simulation object we just created as a blueprint for an ensemble run. The workflow for this is described in detail <a href="ensemble_workflow_vignette.Rmd">here</a>.</p>
+</div>
+<div id="benchmark-script-generation" class="section level2">
+<h2>Benchmark script generation</h2>
+<p>Another feature of <code>r2ogs6</code> is benchmark script generation. For this, there are two functions.</p>
+<ul>
+<li><p><code>ogs6_generate_benchmark_script()</code> creates an R script from a <code>.prj</code> file</p></li>
+<li><p><code>ogs6_generate_benchmark_scripts()</code> is a wrapper for the former. Instead of a single <code>.prj</code> file path, it takes a directory path as its argument.</p></li>
+</ul>
+<p>Let’s look at the parameters for <code>ogs6_generate_benchmark_script()</code> first. Say we have a project file <code>sim_file.prj</code> we want to generate a script from.</p>
+<pre class="r"><code># The path to the project file you want to generate a script from
+prj_path <- "your_path/sim_file.prj"
+
+# The path you want to save the simulation files to
+sim_path <- "your_sim_directory/"
+
+# The path to your `ogs.exe` (if not already specified in `r2ogs6` options)
+ogs6_bin_path <- "your_ogs6_bin_path/"
+
+# The path you want your benchmark script to be saved to
+script_path <- "your_script_directory/"</code></pre>
+<p>Now that we have defined our parameters, we can generate the benchmark script.</p>
+<pre class="r"><code>ogs6_generate_benchmark_script(prj_path = prj_path,
+ sim_path = sim_path,
+ ogs6_bin_path = ogs6_bin_path,
+ script_path = script_path)</code></pre>
+<p>On the other hand, if we want to generate R scripts from multiple (or all) benchmarks, we can use the wrapper function <code>ogs6_generate_benchmark_scripts()</code>. Its parameters are basically the same, only this time we supply it with a directory path instead of a <code>.prj</code> path to start from.</p>
+<p>You can download the benchmarks (or the subfolder you need) from <a href="https://gitlab.opengeosys.org/ogs/ogs/-/tree/master/Tests/Data">here</a> and then set <code>path</code> to their location on your system.</p>
+<pre class="r"><code># The path to the directory you want to generate R scripts from
+path <- "your_benchmark_path/"
+
+# The path you want to save the simulation files to
+sim_path <- "your_sim_directory/"
+
+# The path you want your benchmark scripts to be saved to
+script_path <- "your_script_directory/"
+
+# Optional: Use if you want to start from a specific `.prj` file
+starting_from_prj_path <- ""
+
+# Optional: Use if you want to skip specific `.prj` files
+skip_prj_paths <- character()
+
+# Optional: Use if you want to skip specific `.prj` files
+skip_prj_paths <- character()
+
+# Optional: Use if you want to restrict scripting to specific `.prj` files
+only_prj_files <- character()</code></pre>
+<p>And we’re set! Note that <code>ogs6_generate_benchmark_scripts()</code> will reconstruct the structure of the folder your benchmarks are stored in, e. g. if there’s a file <code>path/a/file.prj</code>, you will find the corresponding R script in <code>sim_path/a/file.R</code>.</p>
+<pre class="r"><code>ogs6_generate_benchmark_scripts(path = path,
+ sim_path = sim_path,
+ script_path = script_path,
+ starting_from_prj_path = starting_from_prj_path,
+ skip_prj_paths = skip_prj_paths,
+ only_prj_files = only_prj_files)</code></pre>
+<p>With this, we can generate scripts from all benchmarks in a single call. Of course you can modify <code>path</code> to your liking if you’re only interested in generating scripts from certain subfolders.</p>
+<p>Furthermore, you can restrict the script generation to benchmarks that used as test in OGS 6.</p>
+<pre class="r"><code># extract *.prj files that are used as tests
+rel_testbm_paths <- get_benchmark_paths("path/to/ogs-source-code/ProcessLib/")
+rel_testbm_paths <- sapply(rel_testbm_paths, basename)
+
+ogs6_generate_benchmark_scripts(path = path,
+ sim_path = sim_path,
+ script_path = script_path,
+ only_prj_files = rel_testbm_paths)</code></pre>
+<p>NOTE: New benchmarks and <code>.prj</code> parameters are constantly being added to OGS6. If a benchmark contains parameters that have not been added to <code>r2ogs6</code> yet, the script generation functions will not work. If this is the case, they will be skipped and the original error message will be displayed in the console.</p>
+</div>
+
+
+
+
+</div>
+
+<script>
+
+// add bootstrap table styles to pandoc tables
+function bootstrapStylePandocTables() {
+ $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
+}
+$(document).ready(function () {
+ bootstrapStylePandocTables();
+});
+
+
+</script>
+
+<!-- tabsets -->
+
+<script>
+$(document).ready(function () {
+ window.buildTabsets("TOC");
+});
+
+$(document).ready(function () {
+ $('.tabset-dropdown > .nav-tabs > li').click(function () {
+ $(this).parent().toggleClass('nav-tabs-open')
+ });
+});
+</script>
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+ (function () {
+ var script = document.createElement("script");
+ script.type = "text/javascript";
+ script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+ document.getElementsByTagName("head")[0].appendChild(script);
+ })();
+</script>
+
+</body>
+</html>
diff --git a/vignettes/ensemble_workflow_vignette.Rmd b/vignettes/ensemble_workflow_vignette.Rmd
index d0714a186d6399735817b9f41286d059573b477c..dcb52b1453d9e7f02d372913b33e4b4816bed324 100644
--- a/vignettes/ensemble_workflow_vignette.Rmd
+++ b/vignettes/ensemble_workflow_vignette.Rmd
@@ -1,7 +1,6 @@
---
title: "r2ogs6 Ensemble Guide"
author: "Ruben Heinrich"
-#output: pdf_document
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{r2ogs6 Ensemble Guide}
@@ -18,6 +17,11 @@ knitr::opts_chunk$set(
comment = "#>",
message = FALSE
)
+
+# the python library vtk needs an explicit import statement for knitting
+vtk <- reticulate::import("vtk")
+dsa <- reticulate::import("vtk.numpy_interface.dataset_adapter")
+devtools::load_all(".")
```
```{r setup}
@@ -60,13 +64,13 @@ testdir_path <- tempdir()
sim_path <- paste0(testdir_path, "/axisym_theis_sim")
ogs6_obj <- OGS6$new(sim_name = "axisym_theis",
- sim_path = "D:/ogs6_theis/axisym_theis_sim")
+ sim_path = sim_path)
# Change this to fit your system
prj_path <- system.file("extdata/benchmarks/AxiSymTheis/",
"axisym_theis.prj", package = "r2ogs6")
-read_in_prj(ogs6_obj, prj_path)
+read_in_prj(ogs6_obj, prj_path, read_in_gml = T)
```
@@ -89,11 +93,11 @@ ogs6_ens <-
Now you can start the simulation.
-```{r, eval = FALSE}
+```{r results='hide'}
ogs6_ens$run_simulation()
```
-```{r, include = FALSE}
+```{r, results='hide'}
lapply(ogs6_ens$ensemble, ogs6_read_output_files)
```
@@ -188,11 +192,11 @@ ogs6_ens_big <-
Now you can start the simulation.
-```{r, eval = FALSE}
+```{r results='hide'}
ogs6_ens_big$run_simulation()
```
-```{r, include = FALSE}
+```{r results='hide'}
lapply(ogs6_ens_big$ensemble, ogs6_read_output_files)
```
@@ -241,7 +245,7 @@ log_vals <- vapply(percentages, function(x){
back_transf_vals <- 10^log_vals
# Change sim_path to fit your system
-ogs6_obj$sim_path <- "D:/ogs6_theis/axisym_theis_sim_log_storage"
+ogs6_obj$sim_path <- paste0(testdir_path, "/axisym_theis_sim_log_storage")
# Set up new ensemble
ogs6_ens_sto <-
@@ -260,11 +264,11 @@ ogs6_ens_sto <-
As before, we can run the simulation right away.
-```{r, eval = FALSE}
+```{r results='hide'}
ogs6_ens_sto$run_simulation()
```
-```{r, include = FALSE}
+```{r results='hide'}
lapply(ogs6_ens_sto$ensemble, ogs6_read_output_files)
```
@@ -311,13 +315,13 @@ First, we create a simulation object to base our ensemble on and read in the `.p
sim_path <- paste0(testdir_path, "/theis_sim")
ogs6_obj <- OGS6$new(sim_name = "theis",
- sim_path = "D:/ogs6_theis/theis_sim")
+ sim_path = sim_path)
# Change this to fit your system
prj_path <- system.file("extdata/benchmarks/theis_well_pumping/",
"theis.prj", package = "r2ogs6")
-read_in_prj(ogs6_obj, prj_path)
+read_in_prj(ogs6_obj, prj_path, read_in_gml = T)
# Increase each_steps
ogs6_obj$time_loop$output$timesteps$pair$each_steps <- 200
@@ -348,11 +352,11 @@ ogs6_ens_theis_2 <-
Now you can start the simulation.
-```{r, eval = FALSE}
+```{r results='hide'}
ogs6_ens_theis_2$run_simulation()
```
-```{r, include = FALSE}
+```{r results='hide'}
lapply(ogs6_ens_theis_2$ensemble, ogs6_read_output_files)
```
@@ -433,7 +437,7 @@ log_vals <- vapply(percentages, function(x){
back_transf_vals <- 10^log_vals
# Change sim_path to fit your system
-ogs6_obj$sim_path <- "D:/ogs6_theis/theis_sim_log_slope"
+ogs6_obj$sim_path <- paste0(testdir_path, "/theis_sim_log_slope")
# Set up new ensemble
ogs6_ens_slo <-
@@ -452,11 +456,11 @@ ogs6_ens_slo <-
As before, we can run the simulation right away.
-```{r, eval = FALSE}
+```{r results='hide'}
ogs6_ens_slo$run_simulation()
```
-```{r, include = FALSE}
+```{r results='hide'}
lapply(ogs6_ens_slo$ensemble, ogs6_read_output_files)
```
diff --git a/vignettes/user_workflow_vignette.Rmd b/vignettes/user_workflow_vignette.Rmd
index 53d0cd8e786f491248292a08baa0c52837b6d36e..6c1c3f5e00abc167ce1d763909c9e949d1880a25 100644
--- a/vignettes/user_workflow_vignette.Rmd
+++ b/vignettes/user_workflow_vignette.Rmd
@@ -1,19 +1,24 @@
---
title: "r2ogs6 User Guide"
author: "Ruben Heinrich"
-output: rmarkdown::html_vignette
-vignette: >
- %\VignetteIndexEntry{r2ogs6 User Guide}
- %\VignetteEngine{knitr::rmarkdown}
- %\VignetteEncoding{UTF-8}
+output: html_document
+#output: rmarkdown::html_vignette
+#vignette: >
+# %\VignetteIndexEntry{r2ogs6 User Guide}
+# %\VignetteEngine{knitr::rmarkdown}
+# %\VignetteEncoding{UTF-8}
---
```{r, include = FALSE}
knitr::opts_chunk$set(
+ eval = nzchar(Sys.getenv("r2ogs6_ensemble_guide_eval")),
collapse = TRUE,
comment = "#>"
-)
+)
+# the python library vtk needs an explicit import statement for knitting
+vtk <- reticulate::import("vtk")
+dsa <- reticulate::import("vtk.numpy_interface.dataset_adapter")
devtools::load_all(".")
```
@@ -42,9 +47,9 @@ To represent a simulation object, `r2ogs6` uses an `R6` class called `OGS6`. If
```{r}
# Change this to fit your system
-sim_path <- system.file("extdata/benchmarks/flow_no_strain",
- package = "r2ogs6")
-
+# sim_path <- system.file("extdata/benchmarks/flow_no_strain",
+# package = "r2ogs6")
+sim_path <- tempdir()
ogs6_obj <- OGS6$new(sim_name = "my_simulation",
sim_path = sim_path)
```
@@ -66,8 +71,9 @@ For demonstration purposes, I will use a project from the `HydroMechanics` bench
```{r}
# Change this to fit your system
prj_path <- paste0(sim_path, "/flow_no_strain.prj")
-
-read_in_prj(ogs6_obj, prj_path = prj_path)
+prj_path <- system.file("extdata/benchmarks/flow_no_strain/flow_no_strain.prj",
+ package = "r2ogs6")
+read_in_prj(ogs6_obj, prj_path = prj_path, read_in_gml = T)
```
@@ -86,7 +92,7 @@ ogs6_obj$get_status()
Since we haven't defined anything so far, you'll see a lot of red there. But the results gave us a hint what we can add. We'll go from there and try to find out more about the possible input data. Say we want to find out more about `process` objects.
-```r
+```{r}
# To take a look at the documentation, use ? followed by the name of a class
?prj_process
```
@@ -128,33 +134,143 @@ Since I already read in a `.prj` file earlier, I won't run the above snippet. If
As soon as we've added all necessary parameters, we can try starting our simulation. This will run a few additional checks and then start OpenGeoSys 6. If `write_logfile` is set to `FALSE`, the output from OpenGeoSys 6 will be shown on the console.
-```{r eval = FALSE}
+```{r results='hide'}
ogs6_run_simulation(ogs6_obj, write_logfile = TRUE)
```
+## Retrieve the results
+After our simulation is finished, we might want to plot some results. But how do we retrieve them? If all went as expected, we don't need to call an extra function for that because `ogs6_run_simulation()` already calls `ogs6_read_output_files()` internally. We only need to decide what information we want to extract. Say we're interested in the `pressure` Parameter from the last timestep. For this easy example, only one `.pvd` file was produced.
-```{r include = FALSE}
+```{r include = T}
ogs6_read_output_files(ogs6_obj)
```
-
-## Retrieve the results
-After our simulation is finished, we might want to plot some results. But how do we retrieve them? If all went as expected, we don't need to call an extra function for that because `ogs6_run_simulation()` already calls `ogs6_read_output_files()` internally. We only need to decide what information we want to extract. Say we're interested in the `pressure` Parameter from the last timestep. For this easy example, only one `.pvd` file was produced.
-
-```{r}
+```{r fig.width=5}
# Extract relevant info into dataframe
result_df <- ogs6_obj$pvds[[1]]$get_point_data(keys = c("pressure"))
+result_df <- result_df[(result_df$timestep!=0),]
# Plot results
ggplot(result_df,
aes(x = x,
- y = pressure)) +
+ y = y,
+ color = pressure)) +
geom_point() +
+ #geom_raster(interpolate = T)+
+ #geom_contour_filled()+
xlab("x coordinate") +
- ylab("pressure")
+ ylab("y coordinate") +
+ theme_bw()
```
## Running multiple simulations
If we want to run not one but multiple simulations, we can use the simulation object we just created as a blueprint for an ensemble run. The workflow for this is described in detail [here](ensemble_workflow_vignette.Rmd).
+
+
+## Benchmark script generation
+
+Another feature of `r2ogs6` is benchmark script generation. For this, there are
+two functions.
+
+- `ogs6_generate_benchmark_script()` creates an R script from a `.prj` file
+
+- `ogs6_generate_benchmark_scripts()` is a wrapper for the former. Instead of a
+single `.prj` file path, it takes a directory path as its argument.
+
+Let's look at the parameters for `ogs6_generate_benchmark_script()` first. Say
+we have a project file `sim_file.prj` we want to generate a script from.
+
+```{r}
+# The path to the project file you want to generate a script from
+prj_path <- "your_path/sim_file.prj"
+
+# The path you want to save the simulation files to
+sim_path <- "your_sim_directory/"
+
+# The path to your `ogs.exe` (if not already specified in `r2ogs6` options)
+ogs6_bin_path <- "your_ogs6_bin_path/"
+
+# The path you want your benchmark script to be saved to
+script_path <- "your_script_directory/"
+```
+
+Now that we have defined our parameters, we can generate the benchmark script.
+
+```{r eval=F}
+ogs6_generate_benchmark_script(prj_path = prj_path,
+ sim_path = sim_path,
+ ogs6_bin_path = ogs6_bin_path,
+ script_path = script_path)
+```
+
+On the other hand, if we want to generate R scripts from multiple (or all)
+benchmarks, we can use the wrapper function `ogs6_generate_benchmark_scripts()`.
+Its parameters are basically the same, only this time we supply it with a
+directory path instead of a `.prj` path to start from.
+
+You can download the benchmarks (or the subfolder you need) from
+[here](https://gitlab.opengeosys.org/ogs/ogs/-/tree/master/Tests/Data) and then
+set `path` to their location on your system.
+
+```{r}
+# The path to the directory you want to generate R scripts from
+path <- "your_benchmark_path/"
+
+# The path you want to save the simulation files to
+sim_path <- "your_sim_directory/"
+
+# The path you want your benchmark scripts to be saved to
+script_path <- "your_script_directory/"
+
+# Optional: Use if you want to start from a specific `.prj` file
+starting_from_prj_path <- ""
+
+# Optional: Use if you want to skip specific `.prj` files
+skip_prj_paths <- character()
+
+# Optional: Use if you want to skip specific `.prj` files
+skip_prj_paths <- character()
+
+# Optional: Use if you want to restrict scripting to specific `.prj` files
+only_prj_files <- character()
+```
+
+And we're set! Note that `ogs6_generate_benchmark_scripts()` will reconstruct
+the structure of the folder your benchmarks are stored in, e. g. if there's a
+file `path/a/file.prj`, you will find the corresponding R script in
+`sim_path/a/file.R`.
+
+```{r eval=F}
+ogs6_generate_benchmark_scripts(path = path,
+ sim_path = sim_path,
+ script_path = script_path,
+ starting_from_prj_path = starting_from_prj_path,
+ skip_prj_paths = skip_prj_paths,
+ only_prj_files = only_prj_files)
+```
+
+
+With this, we can generate scripts from all benchmarks in a single call. Of
+course you can modify `path` to your liking if you're only interested in
+generating scripts from certain subfolders.
+
+Furthermore, you can restrict the script generation to benchmarks that used as
+test in OGS 6.
+
+```{r eval=F}
+# extract *.prj files that are used as tests
+rel_testbm_paths <- get_benchmark_paths("path/to/ogs-source-code/ProcessLib/")
+rel_testbm_paths <- sapply(rel_testbm_paths, basename)
+
+ogs6_generate_benchmark_scripts(path = path,
+ sim_path = sim_path,
+ script_path = script_path,
+ only_prj_files = rel_testbm_paths)
+```
+
+NOTE: New benchmarks and `.prj` parameters are constantly being added to OGS6.
+If a benchmark contains parameters that have not been added to `r2ogs6` yet, the
+script generation functions will not work. If this is the case, they will be
+skipped and the original error message will be displayed in the console.