From 4f5ce6e9f4b61728518e387ac185be8b83a6a327 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 26 Sep 2024 17:05:48 +0000 Subject: [PATCH] Render site --- docs/module_details/day0.html | 6 +- docs/module_details/day1.html | 22 +- docs/module_details/day2.html | 34 +- docs/module_details/day3.html | 20 +- docs/module_details/day4.html | 22 +- docs/module_details/day5.html | 10 +- docs/module_details/day6.html | 27 +- docs/module_details/day7.html | 22 +- docs/module_details/day8.html | 15 +- docs/module_details/day9.html | 10 +- help.html | 8 +- index.html | 2 +- materials_schedule.html | 151 +- modules/Basic_R/Basic_R.html | 3606 ++--------------- modules/Basic_R/lab/Basic_R_Lab.Rmd | 124 +- modules/Basic_R/lab/Basic_R_Lab_Key.html | 499 +-- modules/Intro/Intro.html | 3536 +--------------- .../lab/Manipulating_Data_in_R_Lab.html | 2 +- modules/RStudio/RStudio.html | 3174 +-------------- modules/cheatsheets/Day-1.pdf | Bin 117321 -> 122402 bytes modules/cheatsheets/Day-2.pdf | Bin 113315 -> 118081 bytes 21 files changed, 720 insertions(+), 10570 deletions(-) diff --git a/docs/module_details/day0.html b/docs/module_details/day0.html index 3016d35f..07cece89 100644 --- a/docs/module_details/day0.html +++ b/docs/module_details/day0.html @@ -180,9 +180,8 @@

Material

Day Module -Slides -Code -Resource +Lecture +Activity Cheatsheets/Guides @@ -193,7 +192,6 @@

Material

HTML - diff --git a/docs/module_details/day1.html b/docs/module_details/day1.html index 1ea4e1cf..bc7d426a 100644 --- a/docs/module_details/day1.html +++ b/docs/module_details/day1.html @@ -186,9 +186,8 @@

Material

Day Module -Slides -Code -Resource +Lecture +Activity Cheatsheets/Guides @@ -196,25 +195,22 @@

Material

Day 1 Intro -HTML, PDF -Rmd +HTML, PDF, Rmd Day 1 Cheatsheet -RStudio -HTML, PDF -Rmd -Lab, Key, Key HTML +Basic R +HTML, PDF, Rmd +Lab Rmd, Key, Key HTML -Basic R -HTML, PDF -Rmd -Lab, Key, Key HTML +RStudio +HTML, PDF, Rmd +Lab Rmd, Key, Key HTML diff --git a/docs/module_details/day2.html b/docs/module_details/day2.html index e5b68e1e..20bed424 100644 --- a/docs/module_details/day2.html +++ b/docs/module_details/day2.html @@ -185,45 +185,33 @@

Material

- - - - + + + Day Module -Slides -Code -Resource +Lecture +Activity Cheatsheets/Guides Day 2 -Basic R (cont.) -HTML, PDF -Rmd -Lab, Key, Key HTML -Day 2 Cheatsheet - - - Reproducibility -HTML, PDF -Rmd -Lab, Key, Key HTML +HTML, PDF, Rmd +Lab Rmd, Key, Key HTML Good scientific coding practices - + Data Input -HTML, PDF -Rmd -Lab, Key, Key HTML -Debugging tips guide +HTML, PDF, Rmd +Lab Rmd, Key, Key HTML +Debugging tips guide Day 2 Cheatsheet diff --git a/docs/module_details/day3.html b/docs/module_details/day3.html index cdb3eb2b..a0353cd4 100644 --- a/docs/module_details/day3.html +++ b/docs/module_details/day3.html @@ -181,13 +181,19 @@

Lectures

Material

+++++++ - - - + + @@ -195,17 +201,15 @@

Material

- - - + + - - + diff --git a/docs/module_details/day4.html b/docs/module_details/day4.html index 6411ed8f..046e2faa 100644 --- a/docs/module_details/day4.html +++ b/docs/module_details/day4.html @@ -183,13 +183,19 @@

Lectures

Material

Day ModuleSlidesCodeResourceLectureActivity Cheatsheets/Guides
Day 3 Subsetting Data in RHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 3 Cheatsheet
Optional Homework 2 Rmd, HTML, Key, Key HTMLHW Rmd, HTML, Key, Key HTML
+++++++ - - - + + @@ -197,17 +203,15 @@

Material

- - - + + - - - + + diff --git a/docs/module_details/day5.html b/docs/module_details/day5.html index dd06c84f..74652faa 100644 --- a/docs/module_details/day5.html +++ b/docs/module_details/day5.html @@ -184,9 +184,8 @@

Material

- - - + + @@ -194,9 +193,8 @@

Material

- - - + + diff --git a/docs/module_details/day6.html b/docs/module_details/day6.html index 20825bf8..65cb727f 100644 --- a/docs/module_details/day6.html +++ b/docs/module_details/day6.html @@ -180,22 +180,20 @@

Lectures

Material

-
Day ModuleSlidesCodeResourceLectureActivity Cheatsheets/Guides
Day 4 Data SummarizationHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 4 Cheatsheet
Data ClassesHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML
Day ModuleSlidesCodeResourceLectureActivity Cheatsheets/Guides
Day 5 Data CleaningHTML,PDFRmdLab, Key, Key HTMLHTML,PDF, RmdLab Rmd, Key, Key HTML Day 5 Cheatsheet
+
---+-++ - - - + + @@ -203,25 +201,22 @@

Material

- - - + + - - - + + - - + diff --git a/docs/module_details/day7.html b/docs/module_details/day7.html index 8df79d73..687f010e 100644 --- a/docs/module_details/day7.html +++ b/docs/module_details/day7.html @@ -180,13 +180,19 @@

Lectures

Material

Day ModuleSlidesCodeResourceLectureActivity Cheatsheets/Guides
Day 6 Manipulating Data in RHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 6 Cheatsheet
Intro to Data VisualizationHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML
Optional Homework 3 Rmd, HTML, Key, Key HTMLHW Rmd, HTML, Key, Key HTML
+++++++ - - - + + @@ -194,17 +200,15 @@

Material

- - - + + - - - + + diff --git a/docs/module_details/day8.html b/docs/module_details/day8.html index f799e3c5..cb2bf0ab 100644 --- a/docs/module_details/day8.html +++ b/docs/module_details/day8.html @@ -185,9 +185,8 @@

Material

- - - + + @@ -195,17 +194,15 @@

Material

- - - + + - - - + + diff --git a/docs/module_details/day9.html b/docs/module_details/day9.html index 161902ef..17965688 100644 --- a/docs/module_details/day9.html +++ b/docs/module_details/day9.html @@ -185,9 +185,8 @@

Material

- - - + + @@ -195,9 +194,8 @@

Material

- - - + + diff --git a/help.html b/help.html index b520bdeb..41b54fe3 100644 --- a/help.html +++ b/help.html @@ -350,14 +350,14 @@

Why are my changes not taking effect? It’s making my results look

Here we are creating a new object from an existing one:

new_rivers <- sample(rivers, 5)
 new_rivers
-
## [1] 210 202 300 301 380
+
## [1] 780 350 735 652 306

Using just this will only print the result and not actually change new_rivers:

new_rivers + 1
-
## [1] 211 203 301 302 381
+
## [1] 781 351 736 653 307

If we want to modify new_rivers and save that modified version, then we need to reassign new_rivers like so:

new_rivers <- new_rivers + 1
 new_rivers
-
## [1] 211 203 301 302 381
+
## [1] 781 351 736 653 307

If we forget to reassign this can cause subsequent steps to not work as expected because we will not be working with the data that has been modified.

@@ -406,7 +406,7 @@

Error: object ‘X’ not found

Make sure you run something like this, with the <- operator:

rivers2 <- new_rivers + 1
 rivers2
-
## [1] 212 204 302 303 382
+
## [1] 782 352 737 654 308
diff --git a/index.html b/index.html index dd50db92..05e111d4 100644 --- a/index.html +++ b/index.html @@ -348,7 +348,7 @@

Testimonials from our other courses:

Find an Error!?

Feel free to submit typos/errors/etc via the GitHub repository associated with the class: https://github.com/fhdsl/DaSEH

-

This page was last updated on 2024-09-20.

+

This page was last updated on 2024-09-26.

Creative Commons License

diff --git a/materials_schedule.html b/materials_schedule.html index 98189b6d..9f5a23d9 100644 --- a/materials_schedule.html +++ b/materials_schedule.html @@ -302,29 +302,29 @@

Online Overview

Day ModuleSlidesCodeResourceLectureActivity Cheatsheets/Guides
Day 7 Data VisualizationHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 7 Cheatsheet
FactorsHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML
Day ModuleSlidesCodeResourceLectureActivity Cheatsheets/Guides
Day 8 StatisticsHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 8 Cheatsheet
Data OutputHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML
Day ModuleSlidesCodeResourceLectureActivity Cheatsheets/Guides
Day 9 FunctionsHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 9 Cheatsheet
- + - + - + - + - + - + @@ -338,18 +338,16 @@

Online Schedule + Materials

----+++ - - - + + @@ -360,158 +358,131 @@

Online Schedule + Materials

 - - - + - - - - + + + - - - - + + + - - - - - - - - - - - + + - + - - - - + + + - + - - - + + - + - - + - + - - - + + - + - - - + + - + - - - + + - + - - - + + - + - - - + + - + - - + - + - - - + + - + - - - + + - + - - - + + - + - - - + + - + - - - + + diff --git a/modules/Basic_R/Basic_R.html b/modules/Basic_R/Basic_R.html index 7f383443..208035f5 100644 --- a/modules/Basic_R/Basic_R.html +++ b/modules/Basic_R/Basic_R.html @@ -32,3217 +32,129 @@ }; - - - - - - - - - - - - - - + code span.al { color: #ff0000; font-weight: bold; } /* Alert */ + code span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */ + code span.at { color: #7d9029; } /* Attribute */ + code span.bn { color: #40a070; } /* BaseN */ + code span.bu { } /* BuiltIn */ + code span.cf { color: #007020; font-weight: bold; } /* ControlFlow */ + code span.ch { color: #4070a0; } /* Char */ + code span.cn { color: #880000; } /* Constant */ + code span.co { color: #60a0b0; font-style: italic; } /* Comment */ + code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */ + code span.do { color: #ba2121; font-style: italic; } /* Documentation */ + code span.dt { color: #902000; } /* DataType */ + code span.dv { color: #40a070; } /* DecVal */ + code span.er { color: #ff0000; font-weight: bold; } /* Error */ + code span.ex { } /* Extension */ + code span.fl { color: #40a070; } /* Float */ + code span.fu { color: #06287e; } /* Function */ + code span.im { } /* Import */ + code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */ + code span.kw { color: #007020; font-weight: bold; } /* Keyword */ + code span.op { color: #666666; } /* Operator */ + code span.ot { color: #007020; } /* Other */ + code span.pp { color: #bc7a00; } /* Preprocessor */ + code span.sc { color: #4070a0; } /* SpecialChar */ + code span.ss { color: #bb6688; } /* SpecialString */ + code span.st { color: #4070a0; } /* String */ + code span.va { color: #19177c; } /* Variable */ + code span.vs { color: #4070a0; } /* VerbatimString */ + code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */ + + + + @@ -3259,45 +171,14 @@

-

Explaining output on slides

- -

In slides, a command (we’ll also call them code or a code chunk) will look like this

- -
class(3)
- -
[1] "numeric"
+

Working in R

-

And then directly after it, will be the output of the code.
So class(3) is the code chunk and ‘[1] “numeric”’ is the output.

- -

Running code chunks

- -

Send code to run in the console:

- -
    -
  • Run the whole chunk with the green play button (top right of the chunk)
    • -
  • Run single line with ⌘+return or ctrl+return
    • -
+

For now, we will be working in the Console (Pane 1 )

-

The green RStudio play button is highlighted with an arrow. Press this button to run all the code inside the chunk.

+

When RStudio is first opened you will see 3 panes

R as a calculator

-
2 + 2
- -
[1] 4
- -
2 * 4
- -
[1] 8
- -
2^3
- -
[1] 8
- -

Note: when you enter your command in the Console, R inherently thinks you want to print the result.

- -

R as a calculator

-
  • The R console is a full calculator
  • Try to play around with it: @@ -3310,56 +191,38 @@

-

R as a calculator

- -
2 + (2 * 3)^2
- -
[1] 38
- -
(1 + 3) / 2 + 45
- -
[1] 47
- -
6 / 2 * (1 + 2)
- -
[1] 9
- -

Problem gives answer of 1 or 9 depending on calculator.

- -

Problem gives answer of 1 or 9 depending on calculator.

- -

R as a calculator

+

R as a calculator

-

Try evaluating the following:

+

Try evaluating the following. Type these in the Console and press return to evaluate:

    -
  • 2 + 2 * 3 / 4 -3
    • -
  • 2 * 3 / 4 * 2
    • +
  • 2 + 2
    • +
  • 2 * 3 / 4
  • 2^4 - 1
-

Commenting in Scripts

- -

# creates a comment in R code

- -
# this is a comment
+
Problem gives answer of 1 or 9 depending on calculator.

 
-# nothing to its right is evaluated
+

Basic terms: “object”

-# this # is still a comment -### you can use many #'s as you want +

Object - an object is something that can be worked with or on in R - can be lots of different things!

-1 + 2 # Can be the right of code +

You can think of objects as nouns in R.

-
[1] 3
+
    +
  • a variable
    • +
  • a dataset
    • +
  • a plot
    • +
-

In an .Rmd file, you can write notes outside the R chunks.

+

… many more

Assigning values to objects

    -
  • You can create objects from within the R environment and from files on your computer
    • -
  • R uses <- to assign values to an object name (you might also see = used, but this is not best practice)
    • +
  • You can create +objects within the R environment and from files on your computer
    • +
  • R uses <- to create objects (you might also see = used, but this is not best practice)
x <- 2
@@ -3375,30 +238,22 @@ 

 
 
[1] 4

 
-

Assigning values to objects

+

GUT CHECK: What is an “object”?

-
    -
  • The most comfortable and familiar class/data type for many of you will be data.frame
    • -
  • You can think of these as essentially spreadsheets with rows (usually subjects or observations) and columns (usually variables)
    • -
  • data.frames are somewhat advanced objects in R; we will start with simpler objects
    • -
+

A. Something I can touch

-

Assigning values to objects

+

B. Something that can be worked with in R

-
    -
  • Here we introduce “1 dimensional” classes; often referred to as ‘vectors’
    • -
  • Vectors can have multiple sets of observations, but each observation has to be the same class.
    • -
  • Use the class() function to check the class of an object.
    • -
+

C. A software version

-
class(x)
+

Objects with text

-
[1] "numeric"
+

Create objects with text using quotation marks:

y <- "hello world!"
-class(y)
+y -
[1] "character"
+
[1] "hello world!"

numeric vs. character classes?

@@ -3473,138 +328,129 @@ 

[1] "Ava Hoffman"
-

The ‘combine’ function c()

+

Combining objects with c()

-

The function c() collects/combines/joins single R objects into a vector of R objects. It is mostly used for creating vectors of numbers, character strings, and other data types.

+

Use c() to collect/combine single R objects into a +vector of R objects. It is mostly used for creating vectors of numbers and character strings.

x <- c(1, 4, 6, 8)
 x
[1] 1 4 6 8
-
class(x)
- -
[1] "numeric"
- -

The ‘combine’ function c()

+

Combining objects with c()

-

Try assigning your first and last name as 2 separate character strings into a single vector called name2

+

Try assigning your first and last name as 2 separate character strings into a vector called name2

-

The ‘combine’ function c()

+

Combining objects with c()

-

Try assigning your first and last name as 2 separate character strings into a length-2 vector called name2

+

Try assigning your first and last name as 2 separate character strings into a vector called name2

name2 <- c("Ava", "Hoffman")
 name2
[1] "Ava"     "Hoffman"
-

Arguments inside R functions

+

Basic terms: “function”

+ +

Function - a function is a piece of code that allows you to do something in R. You can write your own, use functions that come directly from installing R, or use functions from additional packages.

+ +

You can think of a function as verb in R.

+ +

A function might help you add numbers together, create a plot, or organize your data.

+ +

Using functions on our vector

    -
  • The contents you give to an R function are called “arguments”
    • -
  • Here, R assumes all arguments should be objects contained in the vector
    • -
  • We will talk more about arguments as we use more complicated functions!
    • +
  • class() tells us what kind of values the object contains (numeric, character, etc)
    • +
  • length() tells us how many elements.
-
name2 <- c("Ava", "Hoffman")
-# Arg 1    ^^^^^
+
name
-
name2 <- c("Ava", "Hoffman")
-# Arg 2           ^^^^^^^^^
+
[1] "Ava Hoffman"
+ +
class(name)
-

length of R objects

+
[1] "character"
+ +
x
-

length(): Get or set the length of vectors (including lists) and factors, and of any other R object for which a method has been defined.

+
[1] 1 4 6 8
length(x)
[1] 4
-
y
+

GUT CHECK: What is a “function”?

-
[1] "hello world!"
+

A. a number or text

+ +

B. a button inside RStudio

+ +

C. code that does something

+ +

Combining vectors

-
length(y)
+

It’s fine to combine vectors, but all values will end up with the same class!

-
[1] 1
+
vect <- c(name, x)
+vect
-

length of R objects

+
[1] "Ava Hoffman" "1"           "4"           "6"           "8"
-

What do you expect for the length of the name object? What about the name2 object?

+
class(vect)
-

What are the lengths of each?

+
[1] "character"
+ +

Practicing functions

-

length of R objects

+

What do you expect for the length of the name2 object?

-

What do you expect for the length of the name object? What about the name2 object?

+

What is the class?

-

What are the lengths of each?

+

Practicing functions

-
length(name)
+

What do you expect for the length of the name2 object?

-
[1] 1
+

What is the class?

length(name2)
[1] 2
-

Math + vector objects

- -

You can perform functions to entire vectors of numbers very easily.

+
class(name2)
-
x + 2
+
[1] "character"
-
[1]  3  6  8 10
+

Commenting in code

-
x * 3
+

# creates a comment in R code

-
[1]  3 12 18 24
+
# 1 + 2 <- this does not get run
 
-
x + c(1, 2, 3, 4)

+1 + 2 # <- this does
-
[1]  2  6  9 12
+
[1] 3

Lab Part 1

  • Assign values to objects with <- (new name on left side)
    • -
  • class() tells you the class (kind) of object
  • Use the c() function to combine text/numbers/etc. into a vector
    • +
  • class() tells you the class (kind) of object
  • Use the length() function to determine number of elements
    • +
  • # for comments or to deactivate a line of code
-

💻 Lab

- -

Pause for Day 1

- -

Recap So Far

- -

RStudio

- -
    -
  • The Editor is for static code like scripts or R Markdown documents
    • -
  • Send code to the Console to run it
    • -
  • The Console can be used for quickly testing code on the fly
    • -
  • R code goes within what is called a chunk (the gray box with a green play button)
    • -
- -

📃RStudio Cheatsheet

- -

Recap So Far

+

+Just open up the file to see the questions for lab. More about the file type soon!

-

Basic R

- -
    -
  • Use c() to combine vectors
    • -
  • Use <- to save (assign) values to objects
    • -
  • if you don’t use <- to reassign objects that you want to modify, they will stay the same
    • -
  • length() and class() tell you information about an object
    • -
+

💻 Lab

-

Math + vector objects

+

Math + vector objects

-

You can perform functions to entire vectors of numbers very easily.

+

You can perform math with vectors.

x + 2
@@ -3618,9 +464,9 @@ 

[1]  2  6  9 12
-

Math + vector objects

+

Math + vector objects

-

But things like algebra can only be performed on numbers.

+

But math can only be performed on numbers.

name2 + 4
@@ -3664,18 +510,32 @@

This tells you that x is a numeric vector and tells you the length.

-

Lab Part 2

+

Basic terms: “argument”

+ +

Argument - what you pass to a function

    -
  • Reassigning allows you to make changes “in place”
    • -
  • str() tells you a lot of information about an object in your environment
    • +
  • can be data like the number 1 or 20234
    • +
  • can be options about how you want the function to work
    • +
  • separated by commas
-

💻 Lab

+

Like an adverb.

+ +

Create vectors with seq()

-

Useful functions to create vectors seq()

+

For numeric: seq()

-

For numeric: seq() can be very useful- both integer and double.
The from argument says what number to start on.
The to argument says what number to not go above.
The by argument says how much to increment by.
The length.out argument says how long the vector should be overall.

+
    +
  • The from +argument says what number to start on.
    • +
  • The to +argument says what number to not go above.
    • +
  • The by +argument says how much to increment by.
    • +
  • The length.out +argument says how long the vector should be overall.
    • +
seq(from = 0, to = 1, by = 0.2)
@@ -3727,18 +587,44 @@ 

y <- sample(x = seq_hun, size = 5, replace = TRUE)
 y
-
[1] 89 69 78 77 13
+
[1] 52 31 94 98 67
+ +

Installing packages to do more!

+ +

Some functions and data come with R right out of the box (“base R”). We will add more functionality with +packages. Think of these like “expansion packs” for R.

+ +

Must be done once for each installation of R (e.g., version 4.2 >> 4.3).

+ +

An important package we will use is tidyverse. It is a mega-package great for data import, wrangling, and visualization.

+ +
install.packages("tidyverse")
+ +

Loading packages

+ +

After installing packages, you will need to “load” them into memory so that you can use them.

+ +

This must be done every time you start R.

+ +

We use a function called library to load packages.

+ +
library(tidyverse)
+ +

Installing + Loading packages

+ +

Installing must be done once via 'install.packages() while loading must be done every R session via 'library()'.

Summary

  • R functions as a calculator
    • -
  • Use <- to save (assign) values to objects
    • -
  • Use c() to combine vectors
    • +
  • Use <- to save (assign) values to objects. Reassigning allows you to make changes “in place”.
    • +
  • Use c() to combine into vectors
  • length(), class(), and str() tell you information about an object
  • The sequence seq() function helps you create numeric vectors (from,to, by, and length.out arguments)
  • The repeat rep() function helps you create vectors with the each and times arguments
  • sample() makes random vectors
    • +
  • install.packages() and library() install and load packages, respectively.

Summary

diff --git a/modules/Basic_R/lab/Basic_R_Lab.Rmd b/modules/Basic_R/lab/Basic_R_Lab.Rmd index f48802ce..ebe7db71 100644 --- a/modules/Basic_R/lab/Basic_R_Lab.Rmd +++ b/modules/Basic_R/lab/Basic_R_Lab.Rmd @@ -9,20 +9,17 @@ editor_options: knitr::opts_chunk$set(echo = TRUE) ``` - -In this lab you can use the interactive console to explore or **Knit** the document. -Remember anything you type here can be "sent" to the console with Cmd-Enter (OS-X) or Ctrl-Enter (Windows/Linux) in an R code chunk. - +Instructions: Paste your code from the console in the gray boxes below. # Part 1 ### 1.1 -Create a new object called `my.num` that contains 6 numbers. +Create a new object called `my.num` that contains any number. ``` # General format -my.num <- c(number1, number2, ...) +my.num <- ? ``` ```{r 1.1response} @@ -95,13 +92,13 @@ Create a vector that contains 4 sets of the numbers 1, 2, 3, and 4. # Part 2 -### 2.1 +### 2.1 -Create a vector with elements 1, 2, 3, 4, 5 and call it `x`. +Create a vector with elements 1, 10, 100, 1000 and call it `z`. ``` # General format -x <- c(...) +z <- c(...) ``` ```{r 2.1response} @@ -110,20 +107,20 @@ x <- c(...) ### 2.2 -Create another vector with elements 10, 20, 30, 40, 50 and call it `y`. - -``` -# General format -y <- c(...) -``` - +Multiply each number in `z` by 5. + ```{r 2.2response} ``` ### 2.3 -Determine the length of `x` and `y`. Next, add the vectors x and y together. +Create a vector object called `int_vect` that starts at 1 and goes up to 10. Use `seq()`. + +``` +# General format +seq(from = NUMBER, to = NUMBER) +``` ```{r 2.3response} @@ -131,12 +128,7 @@ Determine the length of `x` and `y`. Next, add the vectors x and y together. ### 2.4 -Append the value 60 onto the vector `y` (hint: you can use the `c()` function). - -``` -# General format -y <- c(y, ...) -``` +What is the length of `int_vect`? ```{r 2.4response} @@ -144,96 +136,106 @@ y <- c(y, ...) ### 2.5 -Determine the length of `x` and `y`. - -```{r 2.5response} +Install the tidyverse package using `install.packages("tidyverse")`. Load this package using `library(tidyverse)`. -``` +# Practice on Your Own! -### 2.6 +### P.2 -Add `x` and `y` together. What happens? +Create a vector with elements 1, 2, 3, 4, 5 and call it `x`. -```{r 2.6response} +``` +# General format +x <- c(...) +``` + +```{r P.2response} ``` +### P.3 -# Practice on Your Own! +Create another vector with elements 10, 20, 30, 40, 50 and call it `y`. -### P.2 +``` +# General format +y <- c(...) +``` -Multiply the following `a` and `b` together. How is this similar to the way R performs addition in question 2.6 ? +```{r P.3response} -```{r} -a <- c(1, 2, 3) -b <- c(10, 100, 1000) ``` -```{r P.2response} +### P.4 -``` +Determine the length of `x` and `y`. Next, add the vectors x and y together. +```{r P.4response} -# Part 3 +``` -### 3.1 +### P.5 -Create a vector object called `int_vect` that starts at 1 and goes up to 10. Use `seq()`. +Append the value 60 onto the vector `y` (hint: you can use the `c()` function). ``` # General format -seq(from = NUMBER, to = NUMBER) +y <- c(y, ...) ``` -```{r 3.1response} +```{r P.5response} ``` -### 3.2 +### P.6 -Repeat the `int_vect` object this sequence 3 times using `rep()` and store the new object as `int_vect_3`. +Determine the length of `x` and `y`. + +```{r P.6response} ``` -# General format - times and each are optional -rep(x = OBJECT_TO_REPEAT, times = NUM_TIMES_TO_REPEAT, each = NUM_TIMES_TO_REPEAT_EACH_ELEMENT) -``` -```{r 3.2response} +### P.7 + +Add `x` and `y` together. What happens? + +```{r P.7response} ``` -### 3.3 +### P.8 -What is the length of `int_vect_3`? +Multiply the following `a` and `b` together. How is this similar to the way R performs addition in question 2.6 ? + +```{r} +a <- c(1, 2, 3) +b <- c(10, 100, 1000) +``` -```{r 3.3response} +```{r P.8response} ``` -### 3.4 +### P.9 Create a vector that takes the sequence "Strongly Agree", "Agree", "Neutral", "Disagree", "Strongly Disagree" and repeats each element 10 times. -```{r 3.4response} +```{r P.9response} ``` - -# Practice on Your Own! - -### P.3 +### P.10 "Strongly Agree", "Agree", "Neutral", "Disagree", "Strongly Disagree" are often responses to surveys. Create a randomly sampled vector of 30 survey responses. (hint use `sample()` and set the replace argument to `TRUE`). Store the output as `my_responses`. Examine the data by typing the name `my_responses` in the Console. -```{r P.3response} +```{r P.10response} ``` -### P.4 +### P.11 Let's say you change your survey so participants can rank their response 1-10 (inclusive). Create a randomly sampled vector of 30 survey responses. (hint use `seq()` and `sample()` and set the replace argument to `TRUE`). Store the output as `my_responses_2`. Examine the data by typing the name `my_responses_2` in the Console. -```{r P.4response} +```{r P.11response} ``` diff --git a/modules/Basic_R/lab/Basic_R_Lab_Key.html b/modules/Basic_R/lab/Basic_R_Lab_Key.html index 4bb2f3b1..2896f101 100644 --- a/modules/Basic_R/lab/Basic_R_Lab_Key.html +++ b/modules/Basic_R/lab/Basic_R_Lab_Key.html @@ -13,228 +13,34 @@ Basic R Lab - Key - - + + - - - - + + + + - - + h1.title {font-size: 38px;} + h2 {font-size: 30px;} + h3 {font-size: 24px;} + h4 {font-size: 18px;} + h5 {font-size: 16px;} + h6 {font-size: 12px;} + code {color: inherit; background-color: rgba(0, 0, 0, 0.04);} + pre:not([class]) { background-color: white } + + + code{white-space: pre-wrap;} + span.smallcaps{font-variant: small-caps;} + span.underline{text-decoration: underline;} + div.column{display: inline-block; vertical-align: top; width: 50%;} + div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;} + ul.task-list{list-style: none;} + - - - - - - - - - - - - - - -slides > slide > hgroup + article { -margin-top: 5px; -} -.left_col { -float:left; -width:48%; -} -.right_col { -float:right; -width:48%; -} -slides>slide.title-slide { -background-image: 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); -background-size: 100% 100%; -} -.codesmall pre { -font-size: 16px; -} -.codeexample pre{ -background-color: lightgreen; -} - + @@ -3285,7 +134,7 @@

PhD in Biomedical Sciences

-

Email: cwright2@fredhutch.org Web: https://carriewright11.github.io

+

Email: cwright2@fredhutch.org Web: https://carriewright11.github.io

Carrie's picture

@@ -3299,7 +148,7 @@

PhD in Ecology

-

Email: ahoffma2@fredhutch.org Web: https://avahoffman.com

+

Email: ahoffma2@fredhutch.org Web: https://avahoffman.com

Ava's picture

@@ -3321,7 +170,7 @@

Please introduce yourself on Slack!

-

Slack Workspace

+

Slack Workspace

The Learning Curve

What is R?

Why R?

@@ -3431,21 +268,25 @@

  • Lecture with slides, interactive
  • Lab/Practical experience
  • Two 10 min breaks each day - timing may vary
    • -
  • July 8-18, 10:30am - 2:00pm PST on Zoom
    • +
  • Sep 30 - Oct 10, 10:30am - 2:00pm PST on Zoom
    • +

    Course Format

    +

    IN-PERSON CODE-A-THON

    • Mostly independent group work
    • Frequent check-ins with instructors and other groups
    • Some lectures about the practical aspects of coding
      • -
    • July 29-31 (in person in Seattle)
      • +
    • Oct 23 - 25 (in person in Seattle)
    +

    Deadline for arranging travel assistance is October 11!

    +

    Pulse Check Survey

    Your Setup

    -

    If you can, we suggest working virtually with a large monitor or two screens. This setup allows you to follow along on Zoom while also doing the hands-on coding.

    +

    If you can, we suggest working virtually with a large monitor or two screens.

    -

    Surveys count

    +

    This setup allows you to follow along on Zoom while also doing the hands-on coding.

    + +

    Surveys count

    [source - reddit.com]

    @@ -3473,241 +316,7 @@

    We are collecting data about user experience with our course to learn more about how to improve the data science education experience. This data may ultimately be used for a research publication and reporting to the NIH.

    -

    https://forms.gle/e2CQFDJsgyZwLV3S9

    - -

    Getting Started

    - -

    Installing R

    - - - -

    More detailed instructions on the website.

    - -

    RStudio is an integrated development environment (IDE) that makes it easier to work with R.

    - -

    More on that soon!

    - -

    Getting files from downloads

    Basic terms

    - -

    R jargon: https://link.springer.com/content/pdf/bbm%3A978-1-4419-1318-0%2F1.pdf

    - -

    Package - a package in R is a bundle or “package” of code (and or possibly data) that can be loaded together for easy repeated use or for sharing with others.

    - -

    Packages are analogous to a software application like Microsoft Word on your computer. Your operating system allows you to use it, just like having R installed (and other required packages) allows you to use packages.

    - -

    R hex stickers for packages

    - -

    Basic terms

    - -

    Function - a function is a piece of code that allows you to do something in R. You can write your own, use functions that come directly from installing R, or use functions from additional packages.

    - -

    You can think of a function as verb in R.

    - -

    A function might help you add numbers together, create a plot, or organize your data. More on that soon!

    - -
    sum(1, 20234)
    - -
    [1] 20235
    - -

    Basic terms

    - -

    Argument - what you pass to a function

    - -
      -
    • can be data like the number 1 or 20234
      • -
    - -
    sum(1, 20234)
    - -
    [1] 20235
    - -
      -
    • can be options about how you want the function to work such as digits
      • -
    - -
    round(0.627, digits = 2)
    - -
    [1] 0.63
    - -
    round(0.627, digits = 1)
    - -
    [1] 0.6
    - -

    Basic terms

    - -

    Object - an object is something that can be worked with or on in R - can be lots of different things! You can think of objects as nouns in R.

    - -
      -
    • a matrix of numbers
      • -
    • a plot
      • -
    • a function
      • -
    • data
      • -
    - -

    … many more

    - -

    Variable and Sample

    - -
      -
    • Variable: something measured or counted that is a characteristic about a sample
      • -
    - -

    examples: temperature, length, count, color, category

    - -
      -
    • Sample: individuals that you have data about -
      • -
    - -

    examples: people, houses, viruses etc.

    - -
    head(iris)
    - -
      Sepal.Length Sepal.Width Petal.Length Petal.Width Species
-1          5.1         3.5          1.4         0.2  setosa
-2          4.9         3.0          1.4         0.2  setosa
-3          4.7         3.2          1.3         0.2  setosa
-4          4.6         3.1          1.5         0.2  setosa
-5          5.0         3.6          1.4         0.2  setosa
-6          5.4         3.9          1.7         0.4  setosa
    - -

    Columns and Rows

    - -

    R hex stickers for packages

    - -

    [source]

    - -

    Sample = Row
    Variable = Column

    - -

    Data objects that looks like this is often called a data frame.

    - -

    Fancier versions from the tidyverse are called tibbles (more on that soon!).

    - -

    More on Functions and Packages

    - -
      -
    • When you download R, it has a “base” set of functions/packages (base R) - -
        -
      • You can install additional packages for your uses from CRAN or GitHub
        • -
      • These additional packages are written by RStudio or R users/developers (like us)
        • -
      • There are also packages for bioinformatics available at Bioconductor
        • -
      • -
    - -

    Picture of R package stickers

    - -

    Using Packages

    - -
      -
    • Not all packages available on CRAN or GitHub are trustworthy
      • -
    • Posit makes many useful packages
      • -
    • How to trust an R package
      • -
    • Many packages have accompanying academic papers published in peer-reviewed journals
      • -
    • Widely used packages have better documentation (official and in forums) and are more likely free of errors
      • -
    - -

    Tidyverse and Base R: Two Dialects

    - -

    We will mostly show you how to use tidyverse packages and functions.

    - -

    This is a newer set of packages designed for data science that can make your code more intuitive as compared to the original older Base R.

    - -

    Tidyverse advantages:
    - consistent structure - making it easier to learn how to use different packages
    - particularly good for wrangling (manipulating, cleaning, joining) data
    - more flexible for visualizing data

    - -

    Packages for the tidyverse are managed by a team of respected data scientists at Posit.

    - -

    Tidyverse hex sticker

    - -

    See this article for more info.

    - -

    Package Installation

    - -

    We will practice this in labs :)

    - -

    Differs depending on the source (CRAN, GitHub, etc)

    - -

    Must be done once for each installation of R (e.g., version 4.2 >> 4.3).

    - -

    Installing Packages: Dropdown Menu

    - -

    You can install packages from CRAN using the tool menu in RStudio:

    - -

    tools > Install Packages

    - -

    Install packages menu in RStudio

    - -

    Type in the package name to install.

    - -

    The 'readr' package has been typed into the dropdown menu

    - -

    Installing Packages: Using Code

    - -

    We use a function called install.packages() for CRAN packages.

    - -

    Here is an example where we “install” the dplyr package:

    - -
    install.packages("dplyr")
    - -

    The package name is enclosed in quotation marks.

    - -

    Loading packages

    - -

    After installing packages, you will need to “load” them into memory so that you can use them.

    - -

    This must be done every time you start R.

    - -

    We use a function called library to load packages.

    - -

    Here is an example where we “load” the dplyr package:

    - -
    library(dplyr)
    - -

    Quotation marks are optional.

    - -

    Installing + Loading packages

    - -

    Installing must be done once via 'install.packages() while loading must be done every R session via 'library()'.

    - -

    Installing + Loading packages

    - -

    Installing must be done once via 'install.packages() while loading must be done every R session via 'library()'.

    - -

    Let’s practice!

    - -

    Installing remotes and dasehr

    - -

    Install the remotes package.

    - -
    install.packages("remotes")
    - -


    - -

    Then load the package.

    - -
    library(remotes)
    - -

    Installing remotes and dasehr

    Where to find help

    @@ -3733,26 +342,29 @@

    Muppets hugging it out

    -

    Summary

    +

    Installing R

      -
    • R is a powerful data visualization and analysis software language.
      • -
    • Add-on packages like the tidyverse can help make R more intuitive.
      • -
    • Functions (like verbs) perform specific tasks in R and are found within packages.
      • -
    • Arguments within functions specify how to perform a function.
      • -
    • Objects (like nouns) are data or variables.
      • -
    • We will be both installing and loading packages.
      • -
    • Materials will be updated frequently as we improve it. Please use the Google Form survey so you can provide feedback throughout the class!
      • -
    • Lots of resources can be found on the website. You will have access to the website after the class is over.
      • +

    • Install the latest R version (4.4.1 (called ‘Race for your Life’) as of June 14, 2024)

      • +

    • Install RStudio

      • +

    • R Tools Issue

    -

    🏠 Class Website

    +

    More detailed instructions on the website.

    + +

    RStudio is an integrated development environment (IDE) that makes it easier to work with R.

    + +

    More on that soon!

    + +

    Summary

    Website tour!

    Summary

     diff --git a/modules/Manipulating_Data_in_R/lab/Manipulating_Data_in_R_Lab.html b/modules/Manipulating_Data_in_R/lab/Manipulating_Data_in_R_Lab.html index a8bee66e..90d70e1d 100644 --- a/modules/Manipulating_Data_in_R/lab/Manipulating_Data_in_R_Lab.html +++ b/modules/Manipulating_Data_in_R/lab/Manipulating_Data_in_R_Lab.html @@ -186,7 +186,7 @@

    1.2

    1.3

    Let’s rename the columns “co2” from this type of format: “2011” to this: “CO2_2011” using rename. Be sure to do this for all years 2012, 2013, and 2014. Make sure that you end up with the renamed columns in a data frame named co2 here and in subsequent steps.

    -

    Hint: If you run code to rename the columns and store back into a data frame of the same name like co2 you will not be able to re-run the renaming code without error (the columns are already renamed so it won’t be able to find the oldname of the column anymore)

    +

    Hint: If you run code to rename the columns and store back into a data frame of the same name like co2 you will not be able to re-run the renaming code without error (the columns are already renamed so it won’t be able to find the old name of the column anymore)

    # General format
 new_data <- old_data %>% rename(newname = oldname)
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AAAhCAAAQgAAEIQODSC9TX1ny59I1NP6+kMC6NhqLPV8y86i9PPieVSjsRfaYejAZDUVHBurWrflz5TXV1Bcu2JjVTdnNUVHRiYvKkydOmTrs8Li6hWyZvpPC2QU/p1RRfLisr+fGHb3fu3FpWWqrTaYWot1QmG3fZjLk33p46IIPa3XJTdAIBCEDAlwQQgPalp4m5QAACEIAABCAAAQhAAAIQgAAEepEAJQ+v/+mbFR+/W1tTRcOiiO34CZOf/OsLEZGRnYk+WyzNzc20xuA3K76gxGex5gZ1Gx0dm5aWMW3GzOnTZipVqm4koKxtijULudvUrUyuoHIfy5d/tnfPzuqqSvFGI8ZNnn/rPQMzByMGLZqgAQEIQEAQkAICAhCAAAQgAAEIQAACEIAABCAAAQh0uwAFiM/kHdu89gch+kyrBaanD/rtvfeHhUd0LvpMKwT+vPqHb7/+ori4iPKRKe5MceGwsPBBgwZPnTaTsp5DQkK7fRaUWE2bGIDmeXPWoMEPJj2xbs1P33+/nILRwqEDu7bSfBfc8Yf+6YNQi6PbnwI6hAAEvFoAAWivfnwYPAQgAIHeIlBIa4Tn5ZaVlNCAdm7Z1Cc+od/AgVTSb9joMdExsTF9+vSWgWIcEIAABCAAAQhAAAK/lkB9bfW2DT/n5x6jG1JwNjIy5pZFd6WmDuA41tMANFXZKCwuXPbFJ6t++k6jUVOElzqkP9PSM6dNu+LyK2bTAoNCQYyemBzdyGQyCT3zZjPdOiQkZN411yf3Tfnk4/cP7N9DR2knxaCVStWtv3ugT0Jyzw2mJyaIPiEAAQj0qIDU4um/+j06HHQOAQhAAALeI1BTXXVo755ln/xv/epVQkU/Z2OPiom58/f3XTnvmgHpGZQ/4uw07IcABCAAAQhAAAIQ8BkBk8l48siB3VvWm81mmhTFcOdcdc3oMePlcrmngQiOZXLzTn7w3ptbt2ygOC/FdltCwKFUzWPu3OuG5AxXKBQ96sa1ZFvTTYW7UMozx0momPXwEWMCA4M+XPr2rp3bqFQ0Hd29bUNoRNStv31QFRDQo0NC5xCAAAS8SIAt0Vj/S4ANAhCAAAQg4KYAvfNuqKu7767bNq5Z7eYl4mlUj+/1Dz+ZedXVCEOLJmhAAAIQgAAEIAABnxSoKCv59N1/7di0hsK2FIMeOWrsAw/9ZeDADE9Tgyn6fOTIwddfe/XQob0U9hWsaIHBa6+7kRKf4+IT2Z7nozfAlHbdGoBmWYVCKZFYP1DOsgzPW3Jzj7379mv79u4SQu2qgMC77v/LtNnX9vy4cAcIQAAC3iGANDTveE4YJQQgAIFeIrBr65bxWQOyk2I6EX2mKei02nsWXj88NeGL/33QS2aEYUAAAhCAAAQgAAEIdLuA0WA4dfLIob20TqC179DQsCtnzevbN7UT0eeDB/e/8vLzhw62Rp9ZlktPz1x838PXzV8Y/6tEn2n8LcO+EOi2WMuJCGL0N5UTSc8YdNvtv6UlEIWdWo3660+XVFeUCy/xJwQgAAEIIACN7wEIQAACEHBLoLmp6Tfz510/c2pxYQG96XbrGicn0XLhf/7DbycOTj+0b6+TU7AbAhCAAAQgAAEIQMCLBaj68+7N69TNTTQHygseM2bCiBGjFUqlR1Oi/OJjx4689u9/5OWeoCIYdC3V8Rg6dPiDDz0x+bLpwcEhHvXWxZNtQucUf774ZpiaEo6jMiDXXndTTEwf4dD50qLlH7/TxTvicghAAAI+IyC9+K+mz8wJE4EABCAAgW4VoJ8ZPnnvnaceut9hr/RjwMCBA5OTkwcPHkxvuK+55hqDwfDdd99RkY1du3YVFhZWVFQ4vLDgTP5Vk8c+98/X7vj9YocnYCcEIAABCEAAAhCAgDcK0LvHooL8w/t2CoOPiooeP3Fyn7h4WqHa/Y2iz4UF59568195eSeE4C/lGg8bPupPDzzav38avQV1v6tuOZPGc3GzCUDTTnolk0mnX37l0aMH161dpdNpac/mtSvnXL8oKXXAxavQggAEIOCvAtaiRdggAAEIQAACzgRoNZVrp048fGCf3QkUX46JifnrX/969913t1/1Zfr06eL5tbW1jz322PLlyxsaGsSdYuPph/+0c8umtz75QiqViTvRgAAEIAABCEAAAhDwXgGtuvnAzi1i+nNOzvCcoSOlUmnbsK2r+VG0t7Gx4d13/3vk8EFa8Y9OpUSH7Oxhf3nib1R245KvJtI+kE5TCwwMnH/9zUePHio4d4YGbDQYv/9i6eInXnQ1TxyDAAQg4B8CKMHhH88Zs4QABCDQKYFTJ49nxoa1jz7fcccdlNdcWlr6xz/+sX302e5WERER7733XnV19fr164OCguyO0svV3387IjWR8qbbH8IeCEAAAhCAAAQgAAGvE2hqbNi3c7MwbCqUkTNsZEJCUvugrdN5sdac4v8tfXfPrm1Go/UtIs+bqYd//N9r9Oelij7blt2wKcdxcRI0wfSMzLFjJ6pUKtpL5+/YuKautvriGWhBAAIQ8FcBBKD99clj3hCAAAQ6Enjn369OHzFEr9PZnnj55ZeXlJQsXbo0KirKo3f/lPMybdq0pqam//73v7YdCu3amurLcjJMJlP7Q9gDAQhAAAIQgAAEIOBFAmaz6UzeseqKMhqzxcL37z9g8OCh1voVbkegKU6xds2P69f/3NzcLEycMh4+/GhZZFS0w8jvr4Njm77dphyHeHuLda3Cq+ZeGxgULOzT63U7NvwsHkcDAhCAgN8KIADtt48eE4cABCDgSuCff3/2hScfsz2DEpk/++yztWvXJiQk2O73tH3fffeVlZVlZ2fbXVhSWDgmLUWn1drtx0sIQAACEIAABCAAAS8SMBmNB3dtFcK1LMul9k9LS890f/wU2y0qLvr26y/Pl5UKV5lNpg8+XBYWFuF+J91+Zkv6c2sEnaLMHOs4lkKzHjgwPT09i+NaS1Tv2fpLtw8GHUIAAhDwOgEsQuh1jwwDhgAEINCzAvT2esGV03Zt3WJ7m4kTJ27dutV2T1facXFxR48eveWWWz7//HPbfirPlw/t22dPfnFwyK+6prntGNCGAAQgAAEIQAACEOiKgN6gP3H0gNBDeHgEBWQVcjnvZvozy1DNjW9WfHHixFGWswZ5KaT70J+fpJBuV4bU9Wtb6lDbzMFJAJpuRPWqL5syfe+enQaDmV4WncuvrakKj4zu+hjQAwQgAAHvFXD8WzvvnQ9GDgEIQAACXRSgJQftos9LlizZsqVNPLqLtxAup3xqqg1t15W6uXnhrBl2O/ESAhCAAAQgAAEIQMBbBKrKS6takpcprSEmpk9amgfpz1SmY/euHTt3btXr9cJ8J0+eevXVN1BXvIW3flk3M2820/8tForwil8U+BW/KFIsfnUPG93VYqEyIq0bx11sX9h34W8LM2z4aLmsdXlto8Fw7tSJC8fwNwQgAAE/FUAA2k8fPKYNAQhAwKHAQ/fccWDPLttDhw4duueee3qo3N7dd9/90Ucf2d6O2kcP7n/qwfvsduIlBCAAAQhAAAIQgIBXCJzJO85cCM9GREYlJfe1yRx2NgMLY9Ex5pq66lNbNq8pOHeG3nxS0Dk2ts/td9wtkbA6rUZLm4b+tH5ptBraYzKqGb653ZeasWisvVl0Ft5gsdAahiYKVVsj2LS5X4i67UgpAC0WsaYKHFTsue3xNq/i4xMjo2OEXVQRu+jc6TaH8QICEICA/wlI/W/KmDEEIAABCDgWWPLav1Z89rF4LDw8fOPGjTk5OeKenmjcdttt1dXVDz/8sG3nH7371oCMzNt/9wfbnWhDAAIQgAAEIAABCPR+gYL8PGukl2FkMjllQIdHRDoLQFt4HcvXWEw1DF/DGAsshlNHdp3et7uALqcANC1hPX/+9UmJiSaTtZZFR5t4EwoyU7DYulmDxNaYM8vznNFE62dLKHZMG3VOm3XFQDFS3nK+sz+oC0q5Fo9KpK31ncU9dg2phEtOTiksOEv7KV27oqzE7gS8hAAEIOBvAqgB7W9PHPOFAAQg4FhgyX/++cITj4rHkpKSioqKxJc92njooYfUavXTTz9te5fnH3/k+kW3BwQE2u5EGwIQgAAEIAABCECglwuUFRcII1SpVNExMfSx69YC0BQPtkaJKR25njGVsuZyi/40azwiMR5mTKcYc21tI7t/X1RJWSSFiCnjeNCg7EmTJylVSpPJ8YxdZiGLlwhRaCraYTGZrIFpuor6p2D0hXh0SzTaeU1nuoSCyJRALfYokUhdJ1LTLBMSk4QwOpUNaairEaPjYidoQAACEPArAWRA+9XjxmQhAAEIOBY4k5f74pOPicciIiJOn/5VPyr41FNPHTt27KuvvhLHYNDrcxKic6sbrW/xsUEAAhCAAAQgAAEIeIlATdV5YaRKpTIyqnXxPWsE1tTAGM+wxtOM/ghn3M8aDnPm1jOF88+WqvYcCRbCyjKZbNbsOXF9Yp2Fet2LPreS2dbLoJRoCkZTZQwaEO3nJBSJtv5xITnaQZ3SlpMvdGU9r4MMaDo1gvK+W/K4Kd6ubm6yJmJ7NOLWu+EvCEAAAj4i4ODfVh+ZGaYBAQhAAALuCTQ3Nc0cPUz4pKRwxe7duxUKhXtXd9tZy5Yto7Rr2+4oBv3Ov1613YM2BCAAAQhAAAIQgEAvF2huaBBGKJcrQkMjKAXYYjjNNi1j6l7kah/hahZLGl5ktWuYttFnrZ7LPacsLJVTnJbSn9MzMnKGDFaplC3FPBzP2KOIrm0MWuyOwuJUW8NoNOp0eoNBbzbrGWvNaKq2cTFlmd4k0zniW2WJVOpO3Q6VUiVcYr2cUq9dTEMcDRoQgAAEfFcAaWW++2wxMwhAAAJuCNDHEedPn2Q00ltt6yaXy/fs2TNgwADh5a/8Jy14GBMTY1ti7+VnnrxmwU0JyX1/5ZHgdhCAAAQgAAEIQAACnRCgZGGDQUcXmnlGwplCZEfY+r2sbhdrOERlN1piu0JtZvu+q+qlB08EmHlWwlmDvxMmTIyLj6MGZQ7bn9qJ19QHfV2MKjvogups8JyZ4YwMQwnOLV8sBUxYE4WPrSsQtm5SqexC09XfNpe0FJv2KFjuqmMcgwAEIOCVAqgB7ZWPDYOGAAQg0F0Cr/3j77nHjoq93XvvvT296qB4r/YNKv3x2WefLVy40PbQ44vv/Xjlats9aEMAAhCAAAQgAAEI9E4BCrxSwFYht4wcrJ4yNndAeDFbX8nwja5HS5Hhylrp8dMqjqOMYUtsbJ/MzMygwJa1QJxEjVlaW9B1RNn1LR0dbbkVrThorc5BxTmEMLRt+rNQOdqd2zY1NVFlD7oJRZ4VCiX95WQejsaBfRCAAAR8TgAlOHzukWJCEIAABNwW2L5pw39eeE48ffHixa+99pr48pI0FixYMHHiRNtbb/ll7Q8rltnuQRsCEIAABCAAAQhAoHcKcBw/dVzzE78vv//Wypnjzoer8juMPtNEdAauoExRUyelNGUKYWdkZiYmJFDothsLV7iTR932HJ6xGBmLXiYxyWQWIYNZKpO5mZBdWXmeFjekqVHJ6KDg0N75sDAqCEAAAr+aAALQvxo1bgQBCECg1wncf9vN4pgGDRr0+uuviy8vYWPz5s3C+3VxDP/829NiGw0IQAACEIAABCAAgV4pwKsMq2LVt/xhQcn00U0pcQaF25+4Vmu50wUKIdxM7wMHDhwYHWNdvZCyhp0mDlN0t23A2IWJmyc6updFIrHIpRalgpfLGKm04+UHhWGUlhQLDVqyMDw6xsXYcAgCEICAPwggAO0PTxlzhAAEIOBA4LcL5tdUV4kHtmzZIrYvbYM+rvjKK6/YjqHgTP5br/zDdg/aEIAABCAAAQhAAAK9R0Bu3h/V/JuIxj+q1D/GR1HWsKNYrvPhNmu5M4UKqr9BpwSHhCQmJAaoVNSmkLSLJGg3w8qtt+3obOu9nYyaUpklHCOT8pxFY02L7mjT6/Slpa0BaImE65PQt6MrcBwCEICAjwsgAO3jDxjTgwAEIOBQ4PjhQ2t//F48tG/fPqq/LL685I2HH344KSnJdhiv/u1pnU5ruwdtCEAAAhCAAAQgAIFLLsBZakK1z0XXLwxoXi41FLFUQNlJGNfFUHU6rrRS1lJzwxITHR0VFWmtnUwblb5wEji27nZyyMWNXB9yPfCWkZg5i5a1qFuKRDvtrLDwbENDvXBYIpEm9xvo9FQcgAAEIOAfAm5/JMY/ODBLCEAAAv4goNVq5k4YJeaTzJo1a8SIEb1t4itWrBgzZow4Kp43/7B82fWLfiPuQQMCEIAABCAAAQhA4NIKqEzrwpqflesOsbzeaf5wR0OkHOcmjaShSUon0gqEkZFR4RFhQm8dRIQ76vnicbYbg9W0+KGJtZgtrIK+HETbWebgwX20dKFwd4VKldw/zfVELo4TLQhAAAI+KoAMaB99sJgWBCAAAecCb7/yD1rdRTgeHR29atUq5+desiOjR4+2S8r+8+/u0mmRBH3JnghuDAEIQAACEIAABEQBjmkO1/w1uvYGhW4Xy+s6HX2mDimU26ThDC2VLSgATSU4ggKDhVQJF/U3ujGiLE7KQTT54jG7loW16FiqyMHydiOhtOydO7aaTK2VOlIHZqkCg+wuxksIQAAC/iaAALS/PXHMFwIQ8HeBksKC1//xgqjw4Ycfiu3e1jh48KBUas2FEbfvvvxMbKMBAQhAAAIQgAAEIHApBCxy88HoxutDm17iTE1Ma1ZD5wdCeREaLcfz1oIaFIBWKpQKhaK1O+eZw91dfqPlhh52ylqMHN/M2GR/U5mOc2fPnMk/JWZ7jJw4tfM0uBICEICArwggAO0rTxLzgAAEIOCewGO/v1s8ce7cuXPmzBFf9rZGcnLyuHHjbEe15D//tH2Jtg8IqJubqyrO05dGTeUUsUEAAhCAAAQg0JsFLJylMdDwRXTDQpVuHdNaZKKrA6Y0Z6O5NfRLAVypTCq5kIJAwW1XSdBu39nau4fBZbf7tnCMnmWoAklrJH7jxrUaTeu7GrlcMXz8FLe7wokQgAAEfFYANaB99tFiYhCAAATaC5QWFe7YtFHc/84774jt3tl45plnZsyYIY7t3OlTNP5xU5BIIpJ4ZYOqIpYVFX6y5O01335dUVYkl1o/8Go0MXGJKbPm33DLPffGJSZxHH5H7pUPF4OGAAQgAAHfFeClfEmQ/tPQ5lc5U4Mn1So6JhFXGqRwszXifCHqfOFv+x7ofPES+2POX1PHHUShqbxzZyZG5TgoAG1mOGVNTe3OHVuEADStnzh07KSwyGi6LzYIQAACfi7Q5qPNfm6B6UMAAhDwbQH6JOD8qRPEOVLxjfj4ePFl72xMnz6dikHv2bNHHN6/nn9mOQLQIocXNg7t2f37m67XVZyfOStg1hMhBfF9A2Qs/WDWbLSklBkqv3lzVtaroYmJb3/xdfaw4V44PwwZAhCAAAQg4JMCvNx8MkTzRpDmf6zZ0L0z5FhGIbeGfoXNYDAYja0FlDsTDb7Qj93fYv92+7vrJa1MaOF1v6xbVVJcTIVEhG5nzr+lu/pHPxCAAAS8WgDpRV79+DB4CEAAAh4IHNq7u7K8XLhALpffcot3vCF+6qmnbCd5cPdOnQ5LEdqSeFP7gTtuvWPq+LEL9aNXJhc/FHMgVVEvY8sYhr4vm2Ts4VT5+cdiJ3yXPO2a5psnjnrknju8aW4YKwQgAAEIQMB3BRSmg+HNTwerl3R79JnM6FNPQSqzRGIN2lLWMFXl0mg1gqXFRcqypxFlT8/39GmybGlp6aaN6+rra4VLBw4aMmjYaE+7wfkQgAAEfFIAAWiffKyYFAQgAAF7AUrEuOu6eeLe999/XyaTiS97c+Oqq64KCQkRR0h53H9/9CHxJRreImAymW6ccVnJ3hXTlycXzQltlLC8wSJpWTeefh4Uvuil2WChkPTxeWFXL0s6s+uL31w921smiHFCAAIQgAAEfFVAYdoV0fxogO67C1WOu3miHGcJDuRVSmsNZQpA19fXNTY2tpbYcF69ohPx5E5c4v5UjUbTmjWrzuTnC+nPUpn8mkW/c/9ynAkBCEDAtwVQA9q3ny9mBwEIQKBVYNuGXxrqWtMxsrKyFi1a5EU0r7/++u233y4O+OtPP37q1f/Qoi7iHjR6v8AfbrqhsWpP4gdJxTqL3Oj8p8mWmciMllNB0uR3EgvuXE/1Ot76YkXvnyBGCAEIQAACEPBJAaVpS2TTIwrj/u5acrC9ElVzDlSZoyNMRWVyCkBXVlbW1NRQLJoiuR28Y2jfl/M9PRp9ZljuyJFDGzdubGxsEIYQFR0xeOTobhy/85nhCAQgAAEvEEAGtBc8JAwRAhCAQNcFHrv3brGTp59+Wmx7RWPWrFm24zTo9TWVlbZ70O7lAv998fmTe1alv5uo1tFK8W5tVA6ywsTEvJ+0a/33ny55261rcBIEIAABCEAAAt0qoDJtjGp60Bp9NnVrv3adWZhAJZ+aqKd4MwWga2qqy8rKTUZXv6+2fnbKk4iymyd3Ml7MsufLz6/8/vuCc+fEmWm16u0/f0HJ3eIeNCAAAQj4s4CbPwb6MxHmDgEIQMDrBX746svzpSXCNDIyMhYsWOBdU4qOjp4372L9EMqG+TOqA3vPI9TrdG/93wszn40u13v2Mxj9XNnEM3Nf7fPig/c1NtR7z4wxUghAAAIQgIAvCChNWyOanpTrD/Vs9LmFKjiAT++nN/PWoDItQpifn19bW2tdgdDZewdPos8ePAxnt3PVBatu1vy8Zs2OHTto5OKJDXVNX7737uafPqIK19ggAAEIQEDypyeegQIEIAABCPi2wDMPLi4rLhLmuHTp0vT0dK+bb05OzltvvSUOu6Sw4De/v1+pVIl70Oi1An++5zcpUadLboxgXWUyOR4+/XRZEydPytUeO1Y1bdZVjk/CXghAAAIQgAAEultAYT4Y0fyUUreD6c4yGE5HKZUwap1k+/4gs5lyoFm9Xj8kJ6dPnzh66TAmTBnNUilDn5dyf6PothDgdnEJdSiVWNxMlxb6MZpMW7Zu/+zTT6uqKmnktp3rdIaCUydjY0Pj+2Y5jaTbXoA2BCAAAd8VwC/jfPfZYmYQgAAEWgQK8k/v3b5VwIiJiZk7d643wqSlpUVGRtqOfP+uHbYv0e6dAmazeeOaVfJrwowa68pCndk0fMR1oZt+XtWZa3ENBCAAAQhAAAKeC0j5wlDNy0rddsZi9vzqzlwh4SwJ0YaMflqeFihm2eLiomPHjlFmsfO+KC7tMDTt/Io2wWHnp3lyxGzmDx488sknH5WVlthFn4Vuqirrli19/9ThjZ70inMhAAEI+KCA5P4nn/HBaWFKEIAABCBwQeB3N1xTXlIsvFqyZMngwYMvHPGmvzmOO3HixOHDh8VBm82mWddeL75Eo3cKlJUU//jmq1H3RXpYfuPibCiXSJkob/y4ePrCO4JCQi8eQAsCEIAABCAAgR4Q4CxN4doXgzTfcLy6B7p32qVMbqlvku47FkhpyDzPq9Xq7MFDw8Lb5B+IF9PbA5nEszLQPGVAmzsIQlszoKXuZkDzvOVk7qm333oz9+RJF8slNjU0VZ0vyRicFRASLY4fDQhAAAL+JoAMaH974pgvBCDgXwI6rfbYoQPCnKVS6bXXXuu987dbO3HV18tpdRrvnY6fjHz3lk1DchRN8g5+3nOtUStj47IVe7ZtcX0ajkIAAhCAAAQg0HWBYP3SQM3XnLmx61151EOQih+cru0bb12KkDIPcnNP7ty5o7m52WknXXpz4bRXNw/wFsup02f/+9prR48epXA5XUUxcYmj8h10NO/4yW8/WWLQ1bnZOU6DAAQg4HsCCED73jPFjCAAAQhcFPjorf/SEnDC69/97ncqlRcXTe7Xsl2cG8Os+naF7Uu0e6HAob27LTlKQ2fLbwgzsn4aN1Z65lRuL5wghgQBCEAAAhDwJYEA47pg7cdSc7nHBS66rEDx5IwU3cSRzZSqTJ1R3HbF8i8Lzp11mFxMZ1zS+DNz9kzhC39/7siRQzxvrVJiMrNTxzVlDdCxjgqDGPSGg7t2rf/2f1iQsMvfJugAAhDwVgEEoL31yWHcEIAABDoUMBqNrzz9hHCaUql84403Orykl58wa9Ys2xFuWfuz7Uu0e6EA1YCOCOHMHhZptJsIx1hKFJz4qxS7o3gJAQhAAAIQgEC3CEj5smDt+wr9oV9n4cH2Yw4NMk8Yqh7QV0dJ0FRSuba25sOl7zQ2NrQ/0xp+9jACzbId19Zw6w0LJ83Ny7///sV5eblCcJwqe4wf3rzomproCBNvcTys+rrGzWvW5h5Y52Au2AUBCEDADwSkbv0L6wcQmCIEIAAB3xM4emC/OKlRo0aJbe9t/OY3v3nzzTfF8e/euhn/FRM1emuDrW7mPVqkvv1E6IfQGIOF4yR43O1xsAcCEIAABCDQTQJ8kOGzQN0qRym83XSHDruxMCMGaaaNayoqk5t5CkGze/bs/Pij9//wxwckEqnd1Sy9LXAc7LU7sVtfcspf1q15/LFHqEiIsOqgmWeGZWvuX1SZGGs0GNmW0LnjOxYXFK3+ekXSgBxlUIzjM7AXAhCAgO8KIAPad58tZgYBCPi9wCtPPS4aPPvss2LbexsjR45MTEwUx0+LK1ZXVIgv0eiFAsPHjmMPamVde7thkTDceWPaoOxeOEEMCQIQgAAEIOAbAirT1iDtV6xFc2mnI+Essyc3jB/euv6hTCZbsfzzZV9+KtRZbjO2Xzf6TANoUmv/8dLzDz14v0QiEaLPVFJj9BDNo3edH9hXr9GzRpOrMVFsOvfIoa2rv6ZFFttMBC8gAAEI+IFA134i9AMgTBECEICAlwrU19Xu3b5VGHxKSsq0adO8dCJ2w7arwvHV/963OwEve5XAmEmXHT9uCDV0KXc52mSpydVTV71qahgMBCAAAQhAwGcEJHxloO5bhfGAw9Aob2GaNJLqJmllo7SmSarWcpSe3FNztzCJfYzzZ9alpehoWT/aaBntd9557dNPl+ourGtCO4VDPTWGtv1SnY1mtWbv/oO/u+eeFcu/EpdUUSn4SSObH//t+YHJesbMGI0cVYJ2/Y6nob55z9ZNBaf2tb0DXkEAAhDwfQH7j7H4/owxQwhAAAL+IbD6m4sL9N1+++0+M+kFCxa899574nRWfPzh7x99QkhCEXei0XsE+iQmNUpCFPl6vp+ic7/0ph/klEe1dYqYuMSk3jMvjAQCEIAABCDgQwImpWlHkO5bB9FnlqlrkuQVKDfvDT55RqnRcmHB5uw07dhh6oy+uuAAc4/Eoc3MuBz1+SrZByuiqmqtIQuZVPb+kjerKs7fcuud0TGxlIDcc/j0xsN2Umq1tqSsfNVPP65c+b1GrRZvHRFmmjqm+a751ZGhJqsby+gNrMllBrQw5vyTufu2bohLSperQntuFugZAhCAQG8TQA3o3vZEMB4IQAAC3SPw2ZK3xI7uuususe3tjZycHNspVFdW0lqLMrncdifavUeAk0gmTL9c//Uq9uk+jLYzHzjllVzRl/WTL1/gOqWo90wZI4EABCAAAQh4l4CULw3Ufy+1lNhXf2aZ89WyT3+KWLE6jNbZo3ITtBVYmIMnVD9vCbn2ivqrp9ZHh7sRc+0EB89MGtW8anNoZY1USHamWhw//vhtYVHhotvuSk/PjIwM8bRXCitTV1QHw8VmPXghAq3RaEvLyvfs2Uuh58KCc8J6g3ScOklN0s+d1nDdjHqllBfRDAbWbG4TvHZ4I4PBdGj3tkHDx6YPm8wwnfvtvMOOsRMCEIBArxZABnSvfjwYHAQgAIHOCdTX1uYdOypcm56enpTkO6mjUVFR8fHxZWVlwuy0GvXZU3np2YM7B4WrfgWBV97/aFhMyIJc7am+CtuUIjdvPTlP+5+d2ne//Y+b5+M0CEAAAhCAAATcF2AZg9J0MFC/ijHZX9Sokbz7VdTK9aFSKSNEn+kMCr/SV3Wd9LOVERTMXXBlXWig2f7Krr9mGa2OM7ZNsKbliI8dPfSPF5+5au61kydPHjCgb2BgQAcRZQ9HQm9UaFKNjc1FxcVHjhxdv/6XkyeOmyixmebMMDzPhATzOemam+fWjszWUNkN201v4CgA7c5WePrc8f07kwcOVgVFunM+zoEABCDgAwKS+558xgemgSlAAAIQgICtwH9fePbArh3CnjfffDM726dWb6MfA3755RdxvqHh4eOm+EiFa3FSvtSQSKUms3nj62tSF4Q1mzrODBLnTvnSoTJ20x9K//jMqygALbKgAQEIQAACEOhGASl/PlT7rsq0w77+Bsus2hr66fcUIXXw62OKx1LCL1XJGJCiT4g1cg5O6doYWaa8WrZxV3BtfWsGtNAdBYK1Wu3xo0fy8k5qNDraGRgQoFAqrUHxjjaKLFPpavqz/UbdchxH7zDPny8/duzw+g3rv1q2bPWqn8rLrRkPdJSukkosGf31c6fW/+HmqtQEQ3uu4vPyHQeCatoOuP29aA/1ptc19ssYFBFDa2t3PHKHnWAnBCAAAe8SYE+p3fslnXdNC6OFAAQg4N8CV+RkFOSfJgN6x1xaWhoXF+dLHiUlJcnJyeIHIRP7pmw4ccaXJuiTc7l9zuWq+u3ylxOqzRZ3CjdS9DlawugeKTNET1668mefNMGkIAABCEAAApdawBxg3Nyn4VaJscJuJFojd/8LSUfzVA4jtsLJtObenfOrb72qNjSou6MKLHPgZMDL78eeLVY4jC3zPE9FOfr3HzBs+PCszMz+AwYkJsSrAgKt4VwLvYmwiJUxxHmZeWvQXFg+kd4h034KOtObZZ1OS3Hn4uLCwoKzp07l5uUeKy8vv3C0NcG6b4JhdI768vGNQzO0donPrf1zzPaDga9/EnOuRCHe0UVDImFv+u29U+YtUgagErQLJxyCAAR8RwAlOHznWWImEIAABAQBrUZTfO6c0I6Oju7Tp4+PydCkAgIC1Gq1MK+SwoK6mprwSHyGsVc/5w9/WHPN+BGRi0/GvRJ/Xslx9LOhi41jYnSWwgdK9cq0H75b5eJEHIIABCAAAQhAoNMCnKU5wLBOwttHn6nD8mopJTi7iD7TORxryS9S1DdJeiIA3azhjK2lLxzMj2LHZrM5N/fkqbzcqOjolJTUvikpibQlJFDiRWRkVHBIkEwuY5iLv/WWcIyEZ8wGs16vb2pqqKmpqaw4X1FB0eay8rKS4uIiCkMbjQbqmTa6JRXcoC0pzkih53FDm0dmaQJVdL2DwQi79HrrgJ0ebnuAinUc2bN1yNjp8SkIQLelwSsIQMBHBbAIoY8+WEwLAhDwY4HNa1ebza1l/J5//nkhxcOXPCjhJTAwUAxA09RoVfQwBKB79zOmj7Z+s23vA7fd9Ms139z2SGT+VWH1Op5W7rHbTBwTK+dSvq778J3aGfNveuWDT+gb2NGHZe2uw0sIQAACEIAABDwW4PjqQP2P9tUkqBuWaVRLKMHZdY+URtzYLDG4HXV13VuboyzTpJFQ7eU2Oy+8oLA4b6Hwt5DCzFRVVVVWVu7btzcoKDgyMiIsLDwkJDQkNJiqcyhVAXK5TMJJeIvFZDTpdAa1RqNWNzc3N9HWUF9fV1erVjdZeAstm0zdS1r+pCxpCWfp31c/bqh6+CDNoP668OCWobh4R8IyeiPXodiFGdDfltMn8soKT8Uk9pNI3UqatrkWTQhAAALeJ4AMaO97ZhgxBCAAAdcCLz/xqHACBWrvvPNO1yd741FKS1mwYMHrr78uDn7v9i0DswaJL9HonQJUDPr1z5fv3rLpL/fexSwt6DdS1X96UP1AuVwloR90JRpeelpfsKH58F5tbtTAJT+uGD3pst45EYwKAhCAAAQg4AMCLGNSmg/ITKfbV6ugPZTtSwnOrqdJgeAAJU/FkV2f1pmjLKNuyYB2eG1IkDk7XVtZLcsvVPAWChZbi87RmS1h5UaL5Ry16e2iVCqVSOjLmtFMpduoagclTVOhZ/qTXtIlwlVU/5m9kCdNvQQF8oPTNWNyNJn9tMlxhrCgjsLwF4aoM7DOIuYXTmnzt1ZnzDu8Z+DgsSERsW0O4AUEIAABXxRAANoXnyrmBAEI+LFAXXV1WXGRAJCWlkbvvH0S47777rMNQB/es/vme37vkzP1vUmNmTyFanbv2PDLj8u/3PXpgaayMn1jPf28Jw8ND4mPz8oZduf/Fo6fNsP3Jo4ZQQACEIAABHqVAGvRBxpWsbzR4ajio42RYWZaUs9FFQ7KFE5J0lM42GEPXdrJMs1apxUtggL42Zc1JsUacs8pdx8JPHJSVV1nHSdVzhDDynR3ijXT1n4YtufYHY0INy26umbicHVkqClA0e6DWnZn276kDGgKQLsbrG650sIc37938lXVIRExWIrQ1hJtCEDAJwV8MzDhk48Kk4IABCDgjkB5STHldwhnjho1yp1LvPGcgQMHKhQKKuEnDH7TzygT7GWPkULMiDJ72TPDcCEAAQhAwLcEKMk4QL/BQfpzyzQD5PzUsY1ni6Nc1DWODDMNSdOGBXkSqKXOWWvNj4YmaZOWC1Ly4SGOqltYGI2TADQFmiUSS2ykMTNVlxpvGD9UXdsooaX/jucrT+arispkVBWEIuMsY2mp5EwhaQ8em0LO90s0JPUxOChL0lE3BirB4aRmiLNLy0rKK4rz45IHSqRyZ+dgPwQgAAHfEEANaN94jpgFBCAAgVaBd155SbR47rnnxLbvNSi/++jRo8K86mtr6utqQ8MjfG+amBEEIAABCEAAAhDoCQG56ajUXOqsZwrbXndF/dZ9QUfzVEIk1+5MCgRfMalxeKaWyiXbHXLx0sizm/YG/7gxtKBEThFbqZSnVf6umlo/Y1yTvG0/Wq3TItQ0HqXCelOlnKevmHDjgAT9pGHNejOr03FV9ZLyahkV6KirlzQ0S7R6jjdZw9B06zNFivOVMlchaQtrpixmDyZ0ca4Gawb0xZfutEwm/syJQxkjLgsIQgDaHTCcAwEIeLEAMqC9+OFh6BCAAATsBKie3fqfVgo7IyIikpKS7E7wpZeZmZliAJrmtX/H9mlz5vrSBDEXCEAAAhCAAAQg0HMCAYZNjIv6GgwTqjK//FjpAy8kHc1VKuRUNLl1LLQAILVnT2289arayBAHNS4cj5llGtSSf38Us3lPMIWJqZOWTVJVKzt+WkmR7kfvrginah7CfjOj1VEs2HFPtFKgSnkx7ZrGJZNaZFJzMJ0ezCREMUP662hm1JPwp9BLZb3src+jS8/LXRStpvM9K6MhDtDCUADaGrz2cDuTe1yv0wUEeXgZTocABCDgbQKctw0Y44UABCAAAacC506fMhlbC/nNmjXL6Xk+cWDKlCm288g9etj2JdoQgAAEIAABCEAAAi4EAsxbOiw0ERVk+vSf555cfD42yqjTcxodZ+aZtFT9c38qe/K35XFRjutHO7ypwcRS9HntthCqrXEh+mw9kWK+1DNFpf+xJI7OEa6lhjVzmXcUz2UZiiCr5LyzPGUKjlNSNp0jk1jkUoviwhddIpd1kNtMg+GdRL0dTuriTp6hWiUXyuBd3N1hqzD/jEHTQAwdnokTIAABCHi1ADKgvfrxYfAQgAAE2ggc3rNLfD1jho8v4zZhwgRxstQ4k3vC9iXaEIAABCAAAQhAAALOBFiLSWE44uxom/0G5saZdTfOrmts4NQ6SXCAOYiKPlOUlr7cj5pKmNWbQvceCaQqyWImte1dKHf4cK7ym1/CFs6uo551Bk5n5Cgc3P5kiklTcLnDULJt50KbotJUPLr9fts9dNjTMhrC5RSXNxhZ3uIoYm57g3ZtjVpXUXI2OnEAx0naHcQOCEAAAr4jgAxo33mWmAkEIACBHRt+ERHGjBkjtn2ykZWVZTuv0ycQgLb1QBsCEIAABCAAAQg4FZBaCjm20elhuwNUZkPPhCj5uDBjEKUeG1qiz3bnuHzZrOYOnAioqpW2DyiL19U1SPcdDaQzaZVCrY7TG1hn0WKZlKeSIOKFbjaocAflRLuOEFssrNFsHYCnGxXu0FMA+mJdEHc7oDuWFp7lnVUbcbcbnAcBCECgtwtgEcLe/oQwPghAAALuC2z9ZY14MpVIFts+2ZBKpenp6Xl5ecLs8k8e9/gHEZ90waQgAAEIQAACEIBARwJy08lOhFk76tXJcZYpr5JV1kgdZjSL19DRmnpp8Xl5Zj8d1fowGh0Hq2mvXE6hZI9jvVKqy0HxD6dhbetAaAydy4CmADSV4HA9QXGmbRuW8uICs9kskbXdjVcQgAAEfEsAGdC+9TwxGwhAwI8FKsvL62tqBICFCxf6g4RtnWue508dP+oPs8YcIQABCEAAAhCAQBcF5KbT1hoav9YmZDQ7jiiLY2CtVSzUGmuMQqvlTE7qS7OsRSHjJZ5HMjiO6bgEh4XpxEKCNGAqWm0w0pg8z51mmOrzZfQ+VmRAAwIQgIBPCnj+z7ZPMmBSEIAABLxf4JeV34qTWLRokdj24cagQYNsZ1d09oztS7QhAAEIQAACEIAABBwKyPhzDis40/KAPfGRMqXCWrW5g54tjFzGB6isoVi1VojnOhg7xzLW+hueRzKoBrRM4qCotO09aIjWRQg9DyNTvjZlQNt25X67rrqa7+TSh+7fBGdCAAIQuMQCnv+zfYkHjNtDAAIQgIBjgXU2AWifr78hEMTHx9tarPziM9uXaEMAAhCAAAQgAAEIOBSQWYqZ9km3LHO6ULnraGBptczEs52Iwzq8F4W0YyKNMZEmih272OhoZJg5LtpI91VrJZRT7DBjmuUYpZLvxNg4awDa4noMFCKnYhouBunsEBWA7nQAuqmh0WJxku/t7H7YDwEIQMDbBFAD2tueGMYLAQhAwIlAaVGheCQmJkZs+3DDbh3C2qrKDjJrfNgCU4MABCAAAQhAAAJuC8iM59qfS++jVm8L2bQnODtNOyxTk9VP1z9JL6d04/ah6vYXu9wTFmzOydDsPRpQU+d0HcLQEPOwLE14iLUyiFrHGQyOA8EUQaZ8apd3c3yQLqQSHBTUdpGJTUsCdiYAzTJGI2eipRo7lT6u1WgPbt+cOXxcREyc46FjLwQgAAHvF5B6/xQwAwhAAAIQoHfSltrKSgEiNTU1MDDQH1BSUlIUCtRzYkoAAEAASURBVIVerxcmW1ZUSA6Os2X8gQNzhAAEIAABCEAAAu4JSE2l7YOlTRpJdb209Ly8pFy2bV9Qej/dkHTtkDQt/UnRYWvN6M4EflsGZGEmjWg+eUa5dluITs/ZpTZTr1SgY9Rg9fSxTdZbcIxGy1FOscOpUCJzgNIapPZ0o5vSIoR0uYsqzxSb7lzqN4XLTVSCw/GQOxip0WBc8d4bGUN3Zgwdk54zok9yagcX4DAEIAABLxRAANoLHxqGDAEIQKCdQFV5ubq5Sdh98803tzvuszvCwsIqKiqE6dXX1lgsPMtKfHa2mBgEIAABCEAAAhDoDgGOb33faNtZk5pr1lqrdEokDC0beOBYwKETAckJhvRU3dAM7chsdd84gzV23ImEaKrCEWG6aU4dXf7LjpCmZo6WBBQ2Wn6P6j5PH9+0YFZdnyij0LlGx1FOse3YxDZdGKDsVKVqlhFKcLiIXlMA2uzisDiIdg1aPpFKcHQq/mztq666Ytf6VUf37uifNSRtyIjsUROS+6ezolG722EHBCAAAa8TQADa6x4ZBgwBCEDAgcCyD94V9957771i2+cbc+bMWbp0qTBN3mIxGU1yBQLQPv/YMUEIQAACEIAABLomQL+wt6s7zDKUm2y0Fr5ozXMW4p+FJfKCYvm+owEbdgVnDdCOG6rOHqi1LgPoaaCWZ/on6u+4tmZIhnbfkYD8ImVjs4RCzwP76kYO1ozM0iTGGlpD2xZGRwFoJ2v6cSxlQPMXxugJgrUEB8NJKMnZaaDYmgHdqRrQ1gC0k5RtN4dIt25uqD+8c8vpY4eO7NwyIHvo0PFTUjMGS2UyN3vAaRCAAAR6swBqQPfmp4OxQQACEHBXQFyBMCAgIDo62t3LvP+8hQsXigFovVZLhbBTBqZ5/7QwAwhAAAIQgAAEINCDAiZJlMxSYhfGpWRkntYebLtRWi991TVI9zdIT+YrdxwI6p+sHz9MPSanOYLqclCwujVe3fYyh68sTHy0MSq8cUSmpr5JojdxlJIcHmyKDjdRCY6L/fAUCqdazA67YKiUc+dKcFB3FH2WOM6rbr0XRYEJweNKGizTugihPZ7jKbjeq2lqPHX0QFF+7rG9O/plDRk+afrAwcMVSpXrq3AUAhCAQC8XkF78V76XjxTDgwAEIAABJwImo5FKcAgHqSayXC53cqIP7lap2rwd3715Y8oABKA7/6B5nl+94ssNP648d/pUU0M9dSSXK+KSk0dPnnL1zbfFxid0vmtcCQEIQAACEIBArxEwSpNlphK74VgThF3GZ6kyxpkiRVGZ/NDJgJUbQkcPUU8Z05QUa5SybgehLYxcYomPMlIkuvXuwqU2HRjNrFbPOavUzLKWQFWnMqAZRiphJJzNnezmT7F0C+vsvu3ObbPDYLSmbHdH/NnaLS1qotWoKQZ9vrjg5IHdKemDRl52ReawMQFBwbZ3XbLj7jpNWXhAvPVL1fJnQDydILRtz0QbAhCAwCUXQAmOS/4IMAAIQAACXRUwGg0adbPQC6U/+9UqfFlZWVKp1NSy7jgJFJw+1VVNf72+sb7u3Zdf/Pzt1zP6soNHqEYsUA5MkNFPoaU1TRVnD+z9cftHLz01aNIVf3rm+UHDRvgrEuYNAQhAAAIQ8BEBo6Qvw+5ok45mYVRKXiHnLdYEYFdRWoq0VtZIq+ukp84pftoUOixTO3NyY06ahtKZXV7Xls75HaichUbPUSayw2g4RXmVKucXt72J3StahJCC7C62TpbgaMmApmG76LkThygMrddpKQZdU1GWe3BPUv/0MdPnDJ8wVXUhDH2uZj91W68tFxq2twhTxdHLflEjZ6TdS+Fp20NoQwACELgkAghAXxJ23BQCEIBAdwo0NTRQErTQ4+zZs7uz617fFy1hYxtwP7J3d68fcm8c4OE9u26ZNmFEpvzfS2K4/spmLc/yTE3LSOUxsvgs5fXzw+/W8z+/tf326WNuXvznB//2oi17b5wSxgQBCEAAAhCAgHMBI5fcvtBESKA5ONBMKcbOr7t4hALEzRoJfZVXydbvChrQ13D1jPorxjfKqJiG6eJpnWjpDJzeQINwHAendyAUKO9Et3SJlEpwUJTc+dbJADTDCIsQOu+4S0eMBkN9TVVjfW3+8UPrln80/sqrJ155rV02tN0NKCpNew4U/3DD0OfsDuElBCAAgUsigAD0JWHHTSEAAQh0p8C+bVsoRULosV+/ft3Zda/vKzAwkDKgjRfi7+dO5fX6Ife6AX72zhuvPPqnF17uoxqq0lG9RTVv9+lb+kmN1/G1DDP6j9Gz7or8xx//eWDn9k/Xbel1M8GAIAABCEAAAhBwT8DA9WcoF7htnWUqbREdbqZyzCbny/S1755ONpkkR3JVh04E/PvDmGuvqL9xVl10lIkxuE6kbt9T6x6tjtXrqdSz443lLCqlJ6nWNt1Q9Nl1DWgKbJs7FdymFQidrZpoc/9ONinmTpuF56kSdFh0rEGnr6s6TwHoR6f/RD3WacuoEIf1q6VBe8SE6NRIV59aowoelBw9Imlev8iRnRwZLoMABCDgtgAWIXSbCidCAAIQ6K0Cer1eHNqMGTPEtj80JBJJbGxsQUGBMNnmxgZ1c3NAUJA/zL1b5vjFu2++/vSDL3+SZImW8WZXOUHW2/FMtZx78IPkFY/vv2X6xE/Xb+uWMaATCEAAAhCAAAR+ZQG9NI2x+4UzjYBlkuIM4SHmqlqPM9UoF4JipI3Nkg+WRX3wVdS0cU23XlM7NENDbx7swtwdzJSlFQg5g/WjfY7fllBkWqVsGzjvoMeLh6lICFXhuPi6fUtYhLD9/o72UADa7EnUvqP+CNO6SaTShNSBaYOHpw0Z0S9zCEWfxQtpGmEttTXoz9RIcXdrg+LR1KKQtLPZnq3ZR3Fq+qIsaarXQcU6KAxNXSEYbU+J1xCAQDcJePzflW66L7qBAAQgAIFuE/ju0/8JfSmVyszMzG7r1xs6ohIcqampYgDabDabTBfWtPGG8V/aMZYWnnvp0Qdf/lesKVLGdRh9bhkrpSM18swNL8W9ePueN55/ZvFTf7u0U8DdIQABCEAAAhDohICBy2Dav2Pimcz+utgoI5V47tyCevQ+wVqCg2E27Q6mL+rthll1E4Y3hQbwEtbiZp86HWcwUI01x9OiVQRV8k5lKVsYKgDd4SKEvJl1Evp2PB7rXguV4OBMdGEnN9ZaUo7jKK+Ck0gjY+NS0rJSs4b0zxgSn9JfplB2oleh7rOL6s/nqveJ3VK9DgpD0xftEYLRw5EWLeqgAQEIdJMAAtDdBIluIAABCFw6gROHDgg3pxUIL90oLtmdqerIxo0bxdvX1VSHhIWLL9FwJsCbzbfOmPSnO0KkQ1RmnbP8GAdXU75UA8P85Y2ExQv/ftXCW1IGpjk4CbsgAAEIQAACEOjFAiYu2ijtKzMXthmjhemfqOufpM87q+xiQQkhzpt3VvH8G33iYiKvmNQ4bWxTQpQxUMlTIeY2N233glYgpDLQ7Xa37qAUZqW8gx5cXNthDehOlOCw8Iw1A5rvTACaYs7R8cmJqQOTBmSkZmRTvnO4TZqzs4l0fT+FmCk8TXnQlCstluygbsVgNEWiqTrH9PR7u34v9AABCECABBCAxrcBBCDgQECrUdfX1DTU1RXmnzLo9ZRVSrEqa2qpyUShvZi4uJi4eFVgUFhkpEwmp0+HOegCu35FAU1zs3C3AQMG/Iq37S23uvLKKz/44ANxNFQXT2yj4ULg+MH9+urzA67tq/Mk+ix0yFkYTYjkxhmBb77w7Cv/+9zFXXAIAhCAAAQgAIHeKaCVjZIZCu2yfSVSZtww9f7jASXn5V0fNv2UQF8V1bKPvo76dk34mGHqGeMaByTpo8JMAQonWcwso9VxOr3TnzBkUouiJcna4+FZGDmV4JBYV05x9uMLBbbNnicyU+hZb6IAdPtlHTseY1xCxH0v/js68df+dT5Fn8MD5lEYmobYEoPet794pV0k2kUCdccTwxkQgAAE2gq4LoDU9ly8ggAEfFrAZDSePHxw3XdfHz+wr/jc2aaGBqNBT2sui6vbWTMNLBaqeECbVC6XSmURUdHhUVH9MjKzh48aNm58Ur8BSpXKp5F64+Tyjh4WhzVs2DCx7T+N4OBg28lqNOpOZsXY9uIH7X8//Zd77gw3yjnG1Bkwnmcm/yH6/uuWNb72dnBoqB+AYYoQgAAEIAABnxJolk4J4VbYF2g2M2OGqDcMCK6okVFWb3dNmOMszRpu3dbgTTuDstJ0U0Y3Tx7ZlBxDyxS22ygArWf1TjKgKXBMayRSDLrdZW7toOxpKS296Hyj2DTveSIzhZ4NRlokkGGd5m07vWVqepoyKKyT83Haq2cHqPTzsIB5w5LmUSS6vmUlwwMtweiUyJGXdmCeTQNnQwACvVsAGdC9+/lgdBD4VQQogrnxp5WbVv14+sQxg07n+p58y0ap0HQaLfhWdDb/8J5d3378oSogMD45uX/moLFTp2fmDBuQlY1gtGvJ7joqpj9ThwEBAd3VrRf1M3PmTNvR7tu2ecioMbZ70G4v0Fhff3jH5jse7qs2WTr9w6U2VDIwVb5p1Q9zb7q1/S2wBwIQgAAEIACB3iygkY23sEpa889ukAFKfs6UhlMFisJSBQVku3HjOIaShY+cVNFXgMqcHGuwy78W7qW1luBw+vZEobBYy2h0amCU/uy6BAd1ay3B4WHnVP3ZGoC2vqXy7EpK86alBRXK3vIGviUt2rqkoZAZ7eLRr897h9YtTI0c6eIcHIIABCBgK4AAtK0G2hDwLwFKbT53Kvfzd95c+fnHWrW6i5Onqh1nck/S19pvV8jk8oFZ2VPmzJ0wY2b/zKzAoDYJql28ES63Ezibd1LcM336dLHtPw36Tqa372Kqvkym8J+5d3qmxWfzVSpWp2LZTi4jb72zWc9nZMnpV1AOA9AWnqeHwlt4+rREp8eJCyEAAQhAAAIQ6CEBI9dXJx2kMu23759nRmerr5jQ+NkPkWqN5zm99t05eD12qHrKyGZn0Vq9nhYhdByApgxopZy3FtDwLNLbOgZZRwFo6tWaAe1h51QvmxYh9PAi65CCg+UJ/QdLO7XMoAPWX3HXhlPv0tfwpLkUqkYY+leEx60g4MUCCEB78cPD0CHQFYG66qql/37lqw/etc2f7UqHttdS4Q5aFo++3nnpearLceNdv506Z15CSirV7rA9De1uETDoL3560Whsv5x5t9ykV3dC0eekpKSioiJhlKtXfLlo8Z969Yh7weBKCwtiIqkIYmd/gGuZAmVFxcbKjpeW6LTao/t2Gw3GbetWq5ua6YMU+3dstZaPt9aNNyb3G0BhaFrWfcCg7OT+A0ZOmBSbkNQnIZH+QaAF33sBBoYAAQhAAAIQ8EcBnlE2y2epDPuZdtWY6T/P115eX1Ih/3lzCN/5z0o5UKUSXump+ruurw4Lsn6e0sHGM1QA2tkSiBQbVik7VWu55U5CCQ6KFDsOb1vLDVpLOXcqAO2sSwdTvLCLHZA1MDQ6kWW9LCxD6c/CFA4U/0BftFwhrVXYYdL0hVnjbwhAwE8FOls8yU+5MG0I+IjAod07X3r4/pOHDrieD6032CcxKTImlpNY6z5zEtqkZYUFzU2NjfV1zQ0NVI3DdQ90Ai1j+OoTf37rxeeoSPQ1i+6YeMWVAYFBrq/CUY8EDuzcJp7vnxnQNH3bb0WKe3YiA0U09JMGBYajwzgxbbxzs2YtTGMgt3XNqvHxEUbjxV+E2PVGv4sS9tCyh0KD/jlRBgSGRUSMnTbj8qvnT7i8TREVu8vxEgIQgAAEIACBnhCwsPIm+YxI7r8c39i+/4hg8x3X1jSruQ27gl3XTW5/rbM9FNvtn6z/zfzqzFQd5yRgazJba0A7WwmQcp+tAejObhJJS5lmFxFoeldppjC00wi1wzu3ZEBb07I92ui38JkjxtGq7l73xpVqRqdGjhBXLKzXln996BmKSqdGjZyWdi+WLvTo2wAnQ8B/BLzsV23+82AwUwj0nMC2tasfv3MRRZDb34IySTNyhmUPHzlmwsTsrMzE2OiI8PAgpdJ6Jh2zbkyzVqczGDXNTedr6ysqKg4fPVZ49gwFmM7l5Trsky6lIJe6qXHb2p93rF+XmpZ++TXz591ye2JKavsBYE8nBHjzxRoKXYwnduLuveSSuLi4kpISYTA8/dyAzQ0BraFlDfguFHekn5fkJou5ZXPjhhdPoV8Y0L8h9PXN/z6gr5Dw8Bnzrrvx7t9lDRtx8SS0IAABCEAAAhDoWQHOwPXXyMYG8WvbJ0FTFnByH8Mfbq6Syy2rNoXS0n9dHAvFlDP66267pmbCULXceSKc0cRp9RKqg0HrFra/I/0wEqjqQgDaugghdUuxYged0+3obRFVqeYtjMSTcLLJyNIXQ7+Z92SLjg1NShsmV4V4clGvOJeSnemLViw8WLySCnEIY6Iw9MHiH85V76MwNOpy9IrnhEFAoJcJIADdyx4IhgOBnhSgMNEX77z57v893z5SHBEdM2X23GtvvHHK+HGJYa5KNgfKWvKXo8IzU5JpsAtnXU5/nm/SnCks2n/g4LbNmw7u2k6f7ndYVJpCpWdOnqCv5UuXTJ097/o770kfnCOR4h+iLj31LT+vEq4fMmQI5ah3qS+vvTg0NFQc++njxygJWq5AJWiRxEEjNj6hqNREyUed/xmOemUZU5WDcD/h00+NVF/Dmo1u4enDEyaXxWEa6+q++egD+qJ/EBY//dxls65yMGLsggAEIAABCECguwXMbHiD4pog/TrHAVkLkxpv+OPNVQl9jJ+vjNAbWGdpy67HRVFdyvYdP6J54ezaYRlaldzVuw9azU+r4ygE7LBKlzUAHdDJFQgp5mxdhNBhvzYTMFsYqjoi8SSa3KkMaHbQiBHR8Sks663v3inTeVr6vcOS5p2r2UeRaCEhWghDUyT6rvHvoTa0zbcVmhCAAIO4D74JIOBHAsvee/vlxx60m7BSpZp38233PfLoxIx+dofcf9knOKBPdsaE7Iz7b7upVm/ceejojm3bflj2We7hQ9aqxO1SLGsqKlZ8+N4PX3xy2ey5dz74Z4Sh3aduf6ZMLtNprbvlcnn7o36yxy7125qrj82lQJ+kZI3eojRbaPnRzmNJ2cIz+oCgkOjYmKTUfjFx8aNGj5bK5DMmTwwMCpLLFQWlpWa9Llil3H/85Knc3NOnT588fPB8SbFOp6NfR9k9NRpv3tHD991wNX1O4r9ffdd3QJrLGeAgBCAAAQhAAAJdFeBZpVY2RicbojQcdpwTbGHio4y3zK4dkKT/8qfwo3kqT5dvoJ8DosJNs6Y0zprY0DfOQMsAuh40hbmpBIeLNydBKqqR4boPp0cp74WjJTCcHrf+1GJpyYB2fkq7IyxjoEUITZQB3e6Q8x3BIfL04ROCw/s4P8U7jlAYOjzAug6hbRiaqkIj+uwdzw+jhMCvKIAA9K+IjVtB4JIKHN69k5YEtBtC5tDhz732xrwJo+XdlzkboZDNGTN89pjhTyy+d9eJU6tWr1756Uf5J4/b3Zpe6nW6td8s3/TTD2OmTLvr4ceGj5/Y/hzscS1QXlzU1NAgnOO3BaBp+uPGjVu/fr1oJUVavWjhpBGf3DcsJrn5uJYbEsBQqk+ntmAJs3O/Lq8gLz4+QSp18FnVvrFRQsejhuYIDZPZbDAYahsat+47uOStN2mtQvEbWBzCuVN5c4dmLrrvwT+/9Kq4Ew0IQAACEIAABHpAgDVwKQ2K+UrTYcbBh5pabmhhQgPNU0c19U/S7zgU9NOm0LNF1qQHV0Fi4ToLExJsnjSq+cqJjekputAAc4eX0HV6A6fXU5ay4zcnLGsJpAB0ZzfKgG4pweHqeiEGzXQUKLftwmhkDQZ3JidexGYOzUkeOJiT+sgn9oQwtFCX45tDT1NatDhVNCAAAQgIAs5rL0EIAhDwIYHqivMPL1pQX1NtO6f5d9z9r1dfSY4Is93ZXW3KAAhUyKcPy6avB35799b9B779atm6775uqK21u4VBr6NFzPZt3TRlzrw7H3o0bXBroMruNLx0KMDb5HDExsY6PMcfdkZGRtpOc//O7SMmTLLdg3Z7gd8+/tdPXvr975Ym69ofc2cPyxT+UD964tS+ydZqPG5uUlrJVKUKUKluuupK+qqqb1j589p3335r75ZNdj188vq/aeey7fvs9uMlBCAAAQhAAALdKGBiQ5vk00L1y5T8cSdRX+vdKHO5X4I+Pto4ZXTTsXzlpt3Bh04E1NRLaUlyKtYs5v7SS6pfEaDiB6boJ49qGpujTogxBil5iaOCzg5nodezOsqAFntsd1JQAO9inO1Ob7NDyllLcDjv23oy1YCmxRI92lpKcHRU2sOmx6AgWfaYyZHx/R1H2W3O9LomrU945/j3adi+NzWvexYYMAR6mwAyoHvbE8F4IND9AlT6+Z9/eaSyrFTsmiq0Lv7rs48/cH90UIC4s+caSVHhN8+cfsPM6bsefOjrFSu+/+LTwtOn7D59r9VoVi//cvu6NXMW3rJo8QMJKak9Nx5f7dmO1Fen6XBe1kovNpvrisM2J/p1c+7Ni1557KG6Ixpltor18Act+qFCZWH+9Z/ajdtf6gpidFjoXQtvoK9lP6x69qknqWiPbW+5hw9OSenzr8+XDx+PXyfYwqANAQhAAAIQ6EYBVi/Jqlcs6GN+mjG56pbitlS+OSnaEB9pnDaqWaNnS6tkhSWKskpZk5qjZQOVCj46wpScaKDK0ZQ0TdFe+nIRSnZwM5bRGjiqAe3iKhW9BensJpEyUmsOnqseKIZuvhhRd+NOLKM3sXpahNDtLWPY0LShY1iJj6Q/uz1v64lULZqqc1Cc2qOrcDIEIOADAh78ms4HZospQMA/BTb9tHL18mW2c7/1j3965a+P/zrRZ/G+MoaZlJ3xn2f/un7nnv/74OO0wUNoaTLxqNCg1RG/eOeNmy8b8+5LzzfU1tgdxcv2AlTDRNw5depUse1vjZkzZ9pO2cUPLban+XNbp9VuWf0Tx0nefrYiiBb68XCTydkDb1eNnzJ97NgxHl7q+PQFc2efPHTwmVf+pQpo81uxuuqqO66YUlNZ4fgy7IUABCAAAQhAoMsCZja0WX65RjrK8cJ/7fqndGaFlA8PNGen6OZMarjn+uqHbq985M6Kxbf8P3tnAdfG8sTxKCR4sVIKdTfaV6Xubq/u7u7u7u4ur/b+dff21d2VOtACpbhH/0uPHockxIn87sOnndvbnZ35bgjJ3NxsaMdGEb4l4zycxEK+jCRNa/CR7HcNaIVhCjlJr7bRvAQHsZz8KLGKPFtIPhaRGLRah0TCFotUrQHtlMOmbNU6bt4l1JrCbDoffTZz+51+pEyH2XgER0AABFQkoPCdXcXx6AYCIGDkBEhm8dYl8+Xy1I9RNZs0Wz5vTjb+8hdwdhjXu9uDh4/W7P9f2SpVMwKMDAvbuGB2tzpVSU60VKI0EyPjYAtr4TKC+DJ1PyybEStX15Raw5RPP/z9zcg5Hbsil8mWThpbN3+u0Z3bxkRFfo+R7x7zw8VGjbcEtjU79FTUwavcM2dO69a4WeNGP3/z1sbOLp3ajlXLR0dEpGvEKQiAAAiAAAiAgK4IJPDKRQq6yNnq72hN7mKT7xnkh4SFyU8W6cVZ2ctmJf7OgFbYj80i9T0UXs3qAsnITt4FUWmyMolxkyocWWlKc52U4CAZ0KqMIZ1KVqhcplpdy/zYTsWdIxOCngacWn65KcmGTsMRJyAAAmZNADWgzXp54RwIsFgXjvzLfKq9YPESa7dscxJm8wNf5POZozV/aIe/OzVteOTilX3btt44lyaSRapJ+H/6OLVfj+N7dw2eMsMnszg1lpcQYDMC0KTWCphQBL5/+6J2Tq+RsRMlJSUmxJO92B1yOOvKtPjYWHI76vienSStmKnz7ltRZM8vkzbmDeWy2EpfROQLXw57zrW1oefOc758+SAQCJh6dCIXzpvH7+OnXn36Xj6b+p4QGhw0oEXDA7ce6mQKKAEBEAABEAABEEhHQM7iR/Mb21rfcEw4prRARbpxuj9NFHMSkhSW4OCw5TYCzQPQJP2ZlOBQHikmoWGZ0o9DGX0mAWixWKV7+V75cleu31jg4GXqn1QzQlClpax3y4j4H1/DHpPOJAxNsqGfBJysU3QQKcqhynD0AQEQMGkCKr1LmrSHMB4ELJkASR8+vncnszTw2Jlzy3h5GA8TFzvbAW1anjx+fOXu/X9l2DWORFTvXb00uFWT9XOmh4UEG4/ZxmPJrQtnaWO8vb1p2dIEDifNn7N0p6ZCg4ScLxw+NK5bh8bF8tXJZdPNx61zGffKzoJO1cqvnjGZFETW2JG4mOgti+bWze+xc8USZvTZWiCoVr/h8UtXWnSYMKzJl8gbsTY8Npuf/ntZcjIThy20ZvMDRBv6fH7yPN/7j35urm4a26N8YO6c7pfOnCpapiyz29tnT2YN6c9sgQwCIAACIAACIKBDAkncIhGCLkn8wjrUqYEqURKb7EOoaCDZQtDGWvMANElA5nFYJIqtSD9pT8mAVmhChqFylkTMFqsQs7a1t/mrRq1iFetlUGEpDSTQTLYo/LvsbCdhLspnEow+9nQGKnJYyisAflo2gTTf2C0bBbwHATMk4PfqxdunyXeYqaNeqzadWjb/c2ZE/ztacUf16Hzq/IU56zZ7FyyUzrL4OJK2uaB3w1o3z59Fkm86OCQHmm6xslL/qUl6sIkLHh4e7u7uDCdSsTAajVeUyaRnDu6r7Gq3fkKPv+yvn15m8+Gqz5MzPs/O+rw9V2xxr4iw++v61a/Uo241ktytlhtkP8YjO7fVyuO+Yd4sUveZHisQ2jRt0+7awye3Ll1oVb/u4sULL9y5s2OX7eJ2X36ciZBFSrgyOanRTn44LLlVoiz2RdyJ8f4TRsQ06TDtzdvnrnqLPtMWnjl/Ppd3XvqUCCf27gz5HshsgQwCIAACIAACIKBDAjH8RpHCDlKuow51qqdKxiLRZyUb+nF5coG1svCx8unYnORNCMm/So7kMtBqhrhJBjQpA61EJ7nE4/OK+ZSp3rw9iyNU3tPsr5bzbknC0HWKDKQ8JanQzwJOrUBFDrNfeDho8QR4Fk8AAEDAbAmQisCHNm+gQ06kWHD3gYNzCI03RulpJ5w+dECXTh2WLV+5a9VS2nJqhUhFjtGd2zRq22HMgqUu7jnNdtngmKYEmDcnyE0LTdVkwzixSNTBt1zUd7/rOwsXLOYgEid/6UmQkV3gfxvD55Uq77yqoguPJd+y/UPzUoWHz5rfZ+xEVQx98N/VKX26/8rw9EDX/oMWL1qY29mJqcTX1/d7wJdXr17NnTt/be/TSYmxJEuIfJeidigs41Nu7Jgl57p3Z6tU4ZCpWEO5YK6cW3fvaV63Fj2ePMwxuXe3HRev0y0QQAAEQAAEQAAEdEhAxraNsOousH7nkHiaLUvSoWYVVZHiy6T+hpJgLqngbM1XMzzMnJtkQHPJY13J1aoVHeSTj0SdGtAkWi0Ws6VSZQFoDoedO59XndbtHN2LKJrXotqdbDxJ5Q0SiSa5z3RFjmPPZn4Je9Sm7ByLQgFnQcByCCi992c5GOApCJgjgdioqLtXL9Gela5YuXXt6vSp0QoFXZzWzp994cGTLoOHpzOS5HKSLNGutaqcPvCPJW+4x8RisGggc1Ljl989e2L8RlIWxkZHNSqap17R4Mdny+QtbE9FnzMaL5fJSVy6f/+89w8V3bd06qJxIzP2YbZ8evumbcXSA5o1SBd9btmp6xd//3+2bEwXfabHlipV6tChAzHR4eT4/PnLx0+fg4OD4+Linj970qNHDwO/3prVqdl76AjaNiI8uXPz5aMHzBbIIAACIAACIAACOiSQxC38SzgwgV9GzibPQRn6kEhZ8UkcJcFcK76cr90+ViQDOm3ltvQ+JgeglUaT0w2QyZNTtqVKo+IOTg41m7YoWqFBurEWfkrC0OkqcpCQtIUzgfsgYMYEtHvzNmMwcA0ETJ/At08ffgb9oPwgJXE79BvoINT9jmH64MRjs2qWKlZ+7ep6jRptWLbk8a0bzFmCA/ynD+j139lTI2Yv8CpQkHnJAuXQ4JQl5vF4+tgRzoSQMiuQsNkczR/ONKDPSYmJzUoWGtqON2pgweg4GZtKNlZsgEQid8klfHC4RL0eG1YJhSPnLsrYNzI8bPHYEef/d5B5icPhNmzZas6cORVLl2S2K5L5fH6O34eiDgZrX7Zk8eF/9sRERdIzbl44Z+2R1P0J6XYIIAACIAACIAACOiEQw6/LtxnkIZ9nJfpKSiLrRKeKSkQSdnwih3wgUhT8FljLSBloltJor7K52CyygTcn+XOiwoRlUgNarRIcZBfwJDFHTpKmuZmzsrLiV23YoHKTjjIWHkDPZHHIzoT5XCpc89sUGf+DCJlDzGQcmkAABEyMADKgTWzBYC4IqE7g1aMH8j+fntxyef7dvJnCz1mqKzVgT1suu0+rZifPnh81Z4GzG7O8L9kbRH7p2OGBLRqe+/cAKV9gQKOMbqqYqCjKJhcXF1tbW6Ozz4AGNWhgekklozq0qlwgYVhfr5h4maqVLeQsudDq+Oaie1cufX7/LhMwKUJy7t/9zYoXYEafyc2nitVqXLx7/9yxIypGn5k6s112thH0HDyEacatC+eiIsKZLZBBAARAAARAAAR0SoAdadXxl81ACc9Zp2qzViaWcEgJDiX9BAIZ2Z5CmyPLDGgScleSgp1xalKvg2RAk8rRmR7kA16l2tXqd+zHF+TItAMaCQGSCv132Tm9q24DDRAAATMmoN2btxmDgWsgYPoEnt27QztRpLRP0Zwu9KkJCZ72wpXTJx++drNWsxbpHv//8e3r1L49Zg/tH/on0duE/NK5qahJIjK1WxH3rl5+fe/qtjXFEkQKvrIoeJWQbzJO7sL1071GtGshlUioXiQm27NOVVLxmVn/2jNP3t1HTzy4daNepfIKlJlA87zZs9OVfT+9b48J2A0TQQAEQAAEQMBkCcjYwjDrvmG2/eVca0M6IRKzExKU3ZS3FcoU5y6rZCmpAc1V+qRc8iaESkpEZ5iE1OsgZiv4MMcuW6Vss14jbHN4ZxiHBhAAARCwLAIIQFvWesNbyyFACkCTDGja3/K+VU0r/Zm2nBLqlCxy6siRhdv3kIAa85JcLjtz4J++jWrfv3aZ2Q7Zwglwkh/ONPZj7awps3q7SDR6hlQqlTdt5OrEjrx//Srxc+XUCQ0Leb1+8oj22UogmLNi9fv377q1ak43mqjgaMWr6OvLNP5c2gIjzEuQQQAEQAAEQAAEdEJAynYOFYz4ZTvQkHUjRCISgOawFYVzWazkALR2R5YZ0CQArV4GtISdJMr0kye7dIUS7QZPdvYsqp3JGM0i1TlAAQRAwNQJoAa0qa8g7AeBzAlERYaH//xJXWNzOH9VrJR5P9NptbfmT+zdrX7NGkuXLj28fTOd+Ek8CPj8aWSH1t2Hj+4xcpydo6Pp+ARL9UXgw6uXCvJQ9DWjunq/f/3y/f3TLuvKxKdkMKurgEVKGE4dmnvJlHErp3I+vn7JHF+nafOVq1b7FC7AbDRpuXnrv8+fOE67QPxNSkqysjZoThY9OwQQAAEQAAEQsBACYnbOEMFEFkvqlrieZZCidySVOC45AK0QsJ2NTMuq1GQPQ66CYs3UrMkBaHWi3CQDOkmUicmlypdsN3yaS55SRv6hVCFro7nwNezRrjv9y3q3aF12jtEYBUNAAATUJpDpnTq1tWAACICAsREIDghIiI+jrHLN6VGiSGFjs1Aze8oXzLtz47pVew/mzpufqSEpIWHbkgUTenR8/+IZsx2y5RAglcFpZ6MjI2jZOIWzB/dVLiWU8jTfi0YsltWqnuPb+zfM6DMpVbHlwKGrZ06ZU/SZrGD92rWthUJ6KcnmjS/S1r+mL0EAARAAARAAARDQIQExxyNYOO2nYLSWlZdVMomdvJsf2YQwk2jun/F2tlKtAtByVnIAWnkJDrLHIdlRUOWDlEMTi9npCoOU8/2r7dApOfOWUlkNOiokcP39JnLtWcCpVZebkmC0wn64AAIgYNwEEIA27vWBdSCgKYHv377QQz3z5svvlZs+NXVByGYN69T22LX/ajVrSZK7me7cu3JpUPOG5/93gOzGxmyHbAkEvLy8TMhNUi6jUmkbkUidBJsM7lnZ8AT8lFay2WCn/oO+Bwb079QhQ0eTbyiaL0/+IsWYbjBr3DPbIYMACIAACIAACOiWgITtHiycEmw/Xc7787FDtxMwtP3OgOYyGtKIJNnAXusMaFKCg6twBhaJI/8uwZFmXuUnElKCI4nEzFMyIYhUqbZvqwETPPKT6LMagWzls1jsVVJ8g2xRSLkfmRB0/OkMKh5tsUDgOAiYLoE0sRvTdQOWgwAIpCMQ+esX3eLumdvWWvNES1qPUQkV83ufPnJ44fa9Ti5pNleMCg+b3q/nsgmjYqIijcpgGKNvAsWKpQlQ6ns6LfWH/vheuritXJaata2BQvINx06Y/He8QLHiVx8+ObBlozVf798MNbBTJ0Py5M3D1PPk1n/MU8ggAAIgAAIgAAL6I0DqQZMk6O/2y2R8W/3NQjQnidnxCQpjFCQ0rG0GNIvF57LSZrCkcYgEjOUytno1oEkJDnFK1jbRXKtpg5b9JubMV5LNVhLnTjMpTpQQINFnUnmjddnZVB8Sg77ut/n4sxlKhuASCICAcRLgMR5ZNk4LYRUIgIAmBKIiUksQODg6mWWpVDtSFbpXl3KlS82bPvXmudM0JpL+fGjzhuf37y3YsS9v4SJ0u3kKWgUwzQoJswQHcczI/7qRdbOxVvj9SuWFSX4GoO+wkYsXLnCxs1F5lEl2LF2h0sWTJ2jTf/74IZXKSN433QIBBEAABEAABEBAfwQkLMdfVv3Edu7escN50l8srR7iUmgmqWWRkMhWVIKDfLpzIBnQ2hxylhVPxuMoU0JmUetZSnFyBnTyBxI+j920S+caf/e1dcpJcp+N/LOoNhQNP9bHq2Ve5wrHn8/4FvaYzE7KcXz59aiX7zY6OdrwJmFGEAABdQngm5u6xNAfBEyDADMukytvPtMwWiMrG5Yvc+DAgVFzF1oLBEwF75496dOgxtmD/6SLSzL7QDZXAmy2sf91I1+tImOl2t8+iI6Vjhs22Oyjz+SFWq1Smp1Uf4UEy2XKvj2a62sbfoEACIAACIBAdhGQsQQRVu0+Ox5LsC7FstKDFfLkYspJIoWf4khIV2ir7V9/Pl/OUZqaTGaRSBXakN5tNunMJpVD7B0EXUaObth9jK2TBypvpKeki/PkVGifOT5eLShlUQlBu+72exZwUhe6oQMEQMAQBFR+YzWEMZgDBEBAZwSCAr7RusijZOZ95Ha0Wzpt0obDJ73yF2R6Ghn2a87QAQtHD6X3Y2RehWzGBHh8Y685k8s7z9sPZJd3rRaBVPBIELNsGLvzaaXOuAdz09adxI0l414uWAcCIAACIGCuBDix3Kqf7Y5GWHWUc3UchJbK2QlJHBLMVcROLmfb2Wi7CSGPKycPUClJApDJ2RIS5VZoRXrrJHJurnyFB8xY5Nu8D4eXumdy+n4415oAVY6jlc9sShOJQZ94PhPlOLTmCgUgYCACCEAbCDSmAQEDE0hTW1bRY2wGtkmf05FwY59mDU5cvd6qRx/mPGJR0pHtm6f17R7k/43ZbjayXJ6SBsLjGXvI1bDMVf7SYFiz6NlKVah0/3mstUBpBg7dW4GQmCCRyliurq4KrptVMy9deevkCLSSL49m5TucAQEQAAEQAAGjIpDEKehvs/6H/WyRdT45W2cfQWVSVnwihyQUK3KW/OG31bIEBymUwZfzOMo+RPzOgFZoQxrb2Bwp18m9eNNWQ5cVqdhArnrQOo0WnKhHoKx3y5F1zzgKc1HDIhN+qDcevUEABLKJAALQ2QQe04KAngkkl4b9c5Qsau51kP94+lc+r11bN49dsNTW3uFPW/L/10+f6N+kzvP7d5iN5iHL/lQhEFpGGqyKq2Zt9DSadOx6/2U8K1GsokcZu/GtOFcuh7Zq3cbGxsyrP1O+21in2V8R8eeMLwm0gAAIgAAIgIDBCEjZOX5aj/W32xAjbCDl5mDpovqZWMqOS+T8Sa7IxBUSFbYVal2CI3kTQmX3sMkW0X8+X2diA90k51gnWJUMtp0c6ryJ71SKbodgAAIkFZoUgCblOPK6lCeCAWbEFCAAAtoT4Cl769VePTSAAAhkEwEuV6vMymyyWgfTOlnxlk0eV6JU6cXTJvq9eE5rJBnQ47u27z5ybNeho5jRebqDiQpcbkrWSWxsrIm6oA+zc+fLb+R/3dw8cxeuUGPjttd9+uUliTZqH+SrkUg6Y33I7Ufz1B5rmgOEvDTvaSQATZKXNCBnmt7DahAAARAAARAwOgJyFjeK1yjBtqQLf4dT4nGB+D1HlqiNlST3OTkArVgFhy23FWgbgOaSGtCpiTqZTUY+ZZEsbCU50Gy2iJc71rp6qGBILLdaZirQpncCjjaercrOIdMoecHo3QhMAAIgoA4B5W+96mhCXxAAAWMi4FUgtRqySCQyJtMMYUufFo2OXbxavkZt5i7aYSHBq6dO2LxgllmWhE4Ox+H4Q0BgCknBw2YtWH4wQi7W5HsUz4rz7+EgF88ixYoV++O0Zf2fHIDGS96y1hzeggAIgAAIGCMBEccrSDA90G5lhE2HJKv8LC02uCA7EMbHc5TUDiQJNkJrTT44McHxeSpsQqhoEg6L1NyIEdQKsp/+zXYLos9MsJBBAARAQDkBBKCV88FVEDBVAjb29rTpz1++pGXLEUrkdD53/vywWfOZLpOQ1fYlC4a2bPQrOIjZDtnMCPQeO8n4PfKpUtW3Ueuew99aWynJscnEDxJ4/RkQO2HNz5s3rzNvsWTS1Yya3n/5yvTGxs7OYp/zYHKADAIgAAIgAAJGQIAdw6vlb7Puh93sSGErMc+DpVGYQSxhJyQHoBXeYebx5QK+wqsqcuCTTQjZytJmkzchzFiHmsOSce1iraqF2I38ar/zF7+fjGWr4ozoBgIgAAIgQAho9JcB5EAABIyeAJeT+ri62PIyoKn1cbOxXjx14vJ//ufhnYdeMRKDfnH/7piOrQM/f6IbIZgZAaWPTRqRr3O37337y3n23I+OthzV83m5iaJand/v2rXLw8PDiJzRsykSiZQ5g0Bow1KSIsXsChkEQAAEQAAEQED/BGRs23B+12+2m8jmhBGCNmJeruRggzo32UkAOjZBYQY0CTxbW8l5WtcQJRq4yup8sEgNaCkzAM0loWfb36Hn0QH2q4MEM0Ts1G8W+ueKGUAABEDATAho/f5tJhzgBgiYGwHP/AVol6IiImjZ0gQhlzOma7tSxQqP6t/37dPHtPtvnjzq16jWqAXLGrXvRDdCMBsC5CuKtukxBmFhJRCeePmxY6UyYWPerZxVUG7Fk0oVGk4u2Ag4L59Gthj4acnqNT179jCIjcYyyTs/P6YpOdzcSPa3QljMrpBBAARAAARAAAQMRUDMdgu16kdqQztYX7EXXbMT3bKWfk2eXFFRC4ZhyQHoeK7CkLWcJSD1N0iOjQqqGFrTinJWcgCaqywwTnICpDI2laonZTvG8SvGWNWJ5tWJ55WTs6zSqsOZkRLYc7dfZPyPHr7byHaFRmoizAIByyOADGjLW3N4bBkEbOxSS3CEfA+M1+aDmukTa1je5+SVa006dmW6QqpwzB3S9+LhQzJVNrpmjoQMArojYC0UHnn29lOST+nGLx49CGfLSWoPm82sn0i+AXHYpDExWjRv/vtmI34eOXVq5IjhujPBNDS9YuwpSizOV6QYMqBNY+VgJQiAAAiAgOUREHG8f1n1/G47L8B+eYjNmHi+j5zLT44dK4wuJ19KDkDHKcyAJhRthDJlGlTjzONmkQEtl7NJAFrK8wwXdAq0WxxouyREMCqOVxnRZ9UAZ3+v//w2fQt7HJUQRIWhs98gWAACIPCbAA8cQAAEzJKAu2duoa1tQlwc8U4iFktIjDWL/Z7NEkOqU4Vy2G/fvm1CTo8DG1ZLJRLqQlJi4qyBvZ/evjFi3hKCK7U3JBAwIAEul1e9cfPn9+60G/3VQcDq2cKpcwtXNy8bax4JR7PiYiSv38Vu2vvjyjNxp06dk+L/4Vjk73JwUDBzTcrXqMU8hQwCIAACIAACIGBkBNgitreInzuWVy1C+reN5Km9+Jq9+BZPFpr8nFpmyTFiKTsuIbWKYDp3yCA7XQWguYqeoWLb2loVKl3YoWS5L7alE9jFyRaLiDunWwjjP3USpmQ9UzHoVmXn5HWpYPxmw0IQMHsCCECb/RLDQQsl4Ojs7JLTgypz/OPb168hoWVy57RQFn/czmUr2LZiSZUaNcf17JwYH081i0VJh7dtCg/9OWvzLsSg/6DC/wYl0LN2lTePH1JTRieyz772fhHq/vbN89Cfv0iV4/z5C1aoVL3/5NYH69Z2dXU1qGVGM1miVBb4JU3R9ryFixqNdTAEBEAABEAABEBAEQGOhO0Wy3OL55aNsmpsLftqK3lgL75um/SAy45mkf0dGKFgkgEdl6B4Iw85y942zYYQiqZU3s7jstLVgJaz2KS6dIGihQqXrZivZAUXz3xObjmjuI5y7JilHKWxXvXxbkkqb+y5258YSGLQJ57NqFVkEGk0VnthFwhYCgHUgLaUlYaflkZAYGPrmTc/FYCODAv9/iMIAWjyGrDmcoa2a8nlHloxc+qHly/oV8XVE0clEsmkVRtcPXLRjRBMl4Bc6ebmxuNXVHj4hC5t6OgzMaxN125H/tljPBYaiSXP3r4PDfpBG8Pj8wuUKMX4xkpfgQACIAACIAACIGCMBKRsGym7YCInfyy3fJhVByvhDxvJE3vJTTvJfb44KDkOLSNPbbISkphlyNI4QsLEdiQArfWff1KCg/wQ1eQ2v6OTbb6ihQqW+StfyfL2zt62Dk4CO0c2h0+uZpaincYenBgzgTwuFbr7bj35bAYJQJMfUpSDLDli0Ma8ZLDNEgggA9oSVhk+WiIBDpfrXbDQg2uXifPxsbEfPnxoUrGsJYLIzOdBfzevXL78gB5dH/13jb5+48zJDy+fz92xr0xlX7oRggkRkEpTk2I4HIXPbxqPR+TRhPblS4iTkiiT2BzOoLETVi6cbzwWGo8lt278xzQmd778eF6BCQQyCIAACIAACJgIAY6U7UR+kjj547h/hVt35shjBDI/Eoa2Ed+PZ3+WSrkkLiwnNcgyHiQD2k6meWCYlJ8mG2CRrTW49oVLlxAUqJKvuI97nuLWdjmshbZkX2gWG7GRjNBNuIWU3ejuu23v3X5UDPqG3ybiDGLQJryiMN30CeBN1vTXEB6AgAICJStUOrIt+Q8tOT74vacE/EsRKJcn16F//9e5Y8eH/12lP+MG+X8b17H1or3//oXysib4Qrl69Sptdbmq1WnZOIXIX7+6Vy9PR5+JkdNXrp09YohxWpvtVj18mFKihLIE9TeyfUVgAAiAAAiAAAhoR4AjY9vKWLYstruIky+GV4dlLRFUTZy0OSjoy/sfn98Hff0cEvAtLCRUIpGSXQFJRJp8Ys9hL03ehJDayTBdjJpqpP8lsWYqG0HEkvBck/j5E9nF4rllyE8it0iJdk7FWVYcLo+k7PxRp503GG2UBEghDsSgjXJlYJSFEkAA2kIXHm5bAoHCpX24PB614d7Te3fJhzTqI5kl+K6KjwXcXU6ePDF/zfp10yfRMejIsF+TuneYs31vlXoNVVGCPsZDgJv8FSLlINnQv79R/Dk3sv9jIiO7VfuL/EvZZe/oNG/dphHdOhqZmUZkztPHj5jWlKtWk3kKGQRAAARAAARAwHQJyFmkIgY3OTfZ2i5nftec+UuXrZvsDSnGIRXHxUYER/wMjgoLjvoVWiDPt3CbQJ74J18WxJP84kqjOCwRGSvl2El5LmJOTjHXQyJ3FnNJUNtLzPYQcb1FHG8pO0eyfsbBtWKcQDRrAuli0Keez4xK+FGzyCCzdhrOgYCREkAA2kgXBmaBgPYEPHJ7O+ZwJtvrEVWkGHRofJK7jbX2as1JQ0572yVTJvB5vFVTxstkKaXeSAx6ep9uY5euqt+mPY+XXAPOmA+ZLKXuBIdDMj1wmACBB9eujPi7iexPwRB7pxxXrv9X0ae0CZieTSZ+Dg0P/PyZOXn1Js2Yp5BBAARAAARAAATMj4CMVH3m2dq7FSQ/tHefiCSgzyCAQNYEqBj0qeczvoU9Jr1JaY6sx6AHCICAHghgE0I9QIVKEDAOAkJ7+7xFilIB6LCfwX7+ge7FUj+9GYeN2W+FgM1aMHGMnb39lsXzg/2/UQZFhYfN6Nv97dPHQ2YtsLI26qh93qLFfv74TswOCQmJiIjIkSNH9jM1AgtIvn+65zKNwKhkE57evjmsZWpyvdDG9vzly4g+K1+dXTt3JsTF0n0cnV3yFC5qnOtLGwkBBEAABEAABEAABEDASAg42ni28JlDykCX8W5J9ifEx0gjWReYYWkEkDFnaSsOfy2IAN/KipSBphwm+xDefZjmGXYLApGVqyTAPHtI/z2nznl452X2PbBu1eop48SilD3imJeMR2butkcncRuPeYa0hE32rDHu4+2TR4Ma16ZtdPXIderS5arl/6JbIGQkQL4h3L55g9nu26AR8xQyCIAACIAACIAACIAACCgnkByDLjsH6c/KKeEqCOiVAALQesUL5SCQzQSqNW7G4ycXkSDP+9+6fFEkTakykc1mGeX0DcoU33/+coHiJZnWHd6yYeHwQWKRiNkI2TgJfP36lTLM1t6B3H0xNiM/vn7Zv0Fq5WKvAgW/fPlSr2oVY7PT2OyRSKVP791hWtWwXSfmKWQQAAEQAAEQAAEQAAEQAAEQAAEjJ0BqQOP5AyNfI5gHApoTKFC8hKOzc1hICFHx6L+rkfEJ7va2mqsz95F1ShTa/r+jw3v3ePXwPu3rmf17ZHLZ5NUbrYVCuhGCERJ49+4dZZVXQVJqxrj+tAV8+tivbjU6mz5/sRK3bt60Exh1dRcjWeKj5y9FRUQwjfn9YIdxrS/TPMggAAIgAAIgAAIgAAIgAAIgAALpCKAGdDogOAUBsyLg6OJKiqVSAejQoB/PP35pUK6UWXmoa2dqlyyy7cChebNmnt63hyVPCXKdO/APj8cbvWSVjZ2drieEPp0RoLdhlEnJpjVGdAR8+tC1cjlRUiJlk7tn7qs3bnq6OhuRiUZsyorly+kNG4mZpSv7Orq6GtX6GjE8mAYCIAACIAACIAACIAACIAACRkEAJTiMYhlgBAjoj0CNJs0p5aSOxNmLF/U3kdlorlww78GdO7qNGMPhcmmnTu3dtW7aRLkMNUxoJBBUIkBu/PSoVoGOPrvk9Lj95Gk+N0SfVaIXEh7x7M5NZtfe46cwTyGDAAiAAAiAAAiAAAiAgJYEvoVhtyQtEWI4CGRNAAHorBmhBwiYNIFqjZvSebtPbv0XLZKYtDuGMd6Wx9m2fEnvcZOY053YvX3n0oXyP2nRzEvZKMukqQtKpwBnoz3ZOLURuh8fG0OizwlxcRQWEn2+ce9+oZxu2UjJtKY+du68KCl1F1Ara+vyNWublguwFgRAAARAAARAAARAwJgJ/HO3/+lnM18EnDRmI2EbCJgBAQSgzWAR4QIIKCOQO3/BPIWLUD0eXb/6+stXZb1x7Q8Bay5nzbw5A6fP/tPAkkokhzasiQj9SbcYg1Cuei3ajICAAFq2NOHXr1+hoaGU16UrVTEG90nF57ZlitIvGCdX13OAkovoAABAAElEQVQXL5bIl8cYbDMVG3bt3Mk0tX6bDijFzgQCGQRAAARAAARAAARAQBsCp57N9A97HJUQdNNvM/KgtSGJsSCQJQEEoLNEhA4gYNoEeHx+tcbNKB/iY2NPnj1n2v4Y0HobHmfZjGnD5iyk54wKD1s4fFBMVCTdku2C0DZ1V0mxWJzt9mSXASKRiJ6avuNCtxheiI+JaedTjI4+29jZn790uWKZ0oa3xHRnvPfyzf0rl5j2dxs1jnkKGQRAAARAAARAAARAAAS0IVCzyEBHYS6igcSgSR50VPwPbbRhLAiAgBIC2IRQCRxcAgEzIUAC0HtWLBH/fpL97rUr0SOGOXDZZuKbnt2w43GWTp1IikFvmDVV8ju8e/PsqVl9e0zfstPR2UXPk6ukHruxZcQkk2XzJoSixMTetauEBKYkpNs75Thz4WLlsj4ZTUWLEgJbt25hXs1frET+EiXxgmcygQwCIAACIAACIAACIKANAQcbz66+WzdcTd42icSgSTmOIfXOaKMQY0EABBQRQAa0IjJoBwHzIVCwZOkSf1Wg/Hl4/eqNJ8/Mxzf9eyLgsJdOGjdy/hK6xPDtC2dn9O4aHR6u/8kxg6oE2GwjuqfSp7bvN7/3lOlcLm/nkWM1KqX8Aqrqj8X3i5Ozzh4/xsTQpt9A5ilkEAABEAABEAABEAABENCegGNyDDol74HEoPfd7a+9TmgAARDISAAB6IxM0AIC5kaA7NxVp3VbyitSGeDC2bPm5qGe/bHisBeOGzVxxVo6Bv3g6uXJ3drTBRb0PD/UZ03g+vXrdCc3z9y0bHihd41Kn16/pOfdd/JU27qpdbrpdgjKCSxatiI4wJ/uIxDaNO/eiz6FAAIgAAIgAAIgAAIgAAK6IpDHpUIzn1mUNlISmtTi0JVm6AEBEKAJIABNo4AAAuZMoEr9RlbWAsrDS8ePhsQnmbO3evCNz2bNHTlkxrrNfL4Vpf7Jzf8mdW0fFhykh9nUUOnhnbqpXXBwsBojzatrUFDqQhQsWSpbnJPLZIMb13n37Ak1O0nK3nvsZMemjbPFGJOelNTZ2LNpA9OFNv0HCWxSy50zL0EGARAAARAAARAAARAAAS0JlPFuWb1IyvN2LwNPkT0JtVSI4SAAAukIcPtOmZGuCacgAALmR8DO0enDi2ff/N4R1yJ/heYtX6lSsSLm56ZePSL362pW/Evm5nn/2hWqHjQp8hsbE12lQWNSJFqvUytRbmNvf3DdKqpDuXLlqlatqqSzGV+6d+/ehQsXKAdb9xuYw83d8M5O7NTmwdWUTfPIS2LF9l0DOrU3vBlmMOOxK9d3rFsjl6cWfJ6wemMO92xYUzOACRdAAARAAARAAARAAARUIUDyoEk3kgFN/Us2J3R3LKrKQPQBARBQhQAyoFWhhD4gYPIEuDxey159yb/EE6lEcmzv7gSJ1OS9MrgD5B1z5sC+U1avJwUBqMlP7tq+efY0gtTgtqRMKJWmrqNR1UE2MBAu8x5AatzScFZM79mZbFBJzzdlxZpRvbrTpxBUJyCWSkcNHMB8Yfs2bJJdWe2qm42eIAACIAACIAACIAACpk6gtFcL8kN5cctvc1T8D1P3CPaDgPEQ4LGy44u68fgPS0DAcgj4+NbInb+A/wc/4vLt82eefvGvWji/5bivK0/JXnfT+vW04nIn9e3B+p2huW/18oS4uDHL1tAVonU1l0p68B7+G9Pp06dpXDlc3Q38p21K9w7XTxylDZi+fPWcEUPoUwhqEbh2/1HApw/0EHJbZdSiFQZeUHp2CCAAAiAAAiAAAiAAApZDwFHoSQpxUHFnIpBTfAq1nNWHp/omgAxofROGfhAwFgI2dnb12nSgrElMSPhn/wGZsZhmYnawWayh3bt0Hjaatvvotk1LRw0RJSXSLQYUUiPQlpwBLZOlvpx5/ORMf4Md8wb3YUafJ8xfNGfMCIPNbn4TTRo3lulUwZKlvQoWYrZABgEQAAEQAAEQAAEQAAE9ESBB52ZlZ3fx3UpV5NDTLFALAhZIgH07OtueHLdA3HAZBLKXQNC3r/3q+JIa0MQMjzx5r919UMwTZVU1XJNosWTw2AkH1q2iK9WOXrq63cChGqrTYlgjb5fYqCiigNSAfvIkZQc8LfSZ5ND69etfuXKFMv3ct58OOZwN48btc6cndGxNz9VvzPity5fQpxDUJXD62o0WdWsxR+25+5TEoJktkEEABEAABEAABEAABEAABEAABEyLADKgTWu9YC0IaEUgV9581Zo0p1QE+387cOKkVuose7ADn7dj5bIuw0fTecfrpk64+O8Bw1OhI+Bp6iAb3o5snVEsFlPzk+XgcAy0JyTZ2JMZfW7Xqy+iz1q+CiZPmsTUUKZKVUSfmUAggwAIgAAIgAAIgAAIgAAIgIApEkAA2hRXDTaDgOYEWvToY2VtTY3/37bNfqERmuuy+JHWXM72FUu7jRxHkRCLkhYO7X9i51aLB5MNAD5//kzNau+Uw87R0QAWfHr1sm+tKvRE3foN+N/ObfQpBA0IrN2z79WDu8yBIxevZJ5CBgEQAAEQAAEQAAEQAAEQAAEQMEUCCECb4qrBZhDQnEDJipUr1KlPjX/75NGJs+c014WRLBaJQc+aNqVG05YUDFIGevXEMQaOQUtEKcm/dCq0Ba4MnYduGN/JLnmDGtWUSlNqWOUtUmzBwoWGmdqMZ1m5cAHTu/rtOhYrV57ZAhkEQAAEQAAEQAAEQAAEQAAEQMAUCSAAbYqrBptBQHMCHA6n49CR5F9Kxb4tG38miDRXh5EsVgEXpw1bt1Zp0IiCkZSYsGPR3A8vnhuMTaV6Dai5Hj9+LJVKDTavUU1EO863stK3YSGBAb2qlY+PiaEmcsnpcfnaNW9XA1Wd1rd32aV/xe59X969Yc7ec9wU5ilkEAABEAABEAABEAABEMhGAv5hj7JxdkwNAqZOgCc3dQ9gPwiAgJoEyvhWJ0nQD65cJONe3Luzfs++WQN7s9VUgu5MAqU83ffs29+lQ/tH16+S9l9BP8a1b7Hk3xNFfMoxu+lJthYKac0GTgSm581eQSaT/fjxg7KhUaduKv5dk4jFkWG/Hv93lWwkGPrjO0vOcvHIVbVx04p16udwc+fx+Zk6FRcd3bFsUbEo5baNnaPT8zdvczs7ZdoZjSoSiIiJnT5sMLNz8x6985coqeJSMgdCBgEQAAEQAAEQAAEQAAGdEyDR54P3BpTyatHUZ7bOlUMhCFgCAWRAW8Iqw0cQSEOApIi2HzSMy+ORVrlMtmfV0tC4hDQ9cKI+gcJuzhv27s9doCA1lMSgx7dr8e6JoW+S07nt6ntgJiNIJW5VPNm/alnLQp5tiud7tnVgR68rm9p93tz+c7d81z/uG9auRIFm+T3+WbE4Uz0rxg6no89Orm73X75G9DlTUGo1zluzPj42JaOcGjhgxjy1NKAzCIAACIAACIAACIAACOiJABV9JspfBZ56FXhST7NALQiYNwEEoM17feEdCGROgGRAl6qYsn+av9/7df8czLwfWtUhUNEr56rd+70KFKIGhYUEr5s6PjYqUh0dmvTN6eVND3v69CktW46QmJhIOyuwsaXlTIW3jx+0KZH/7u7pRyZYx57Ic3JR7gEtclQtbetb2rZvc6dDsz1jT+U5NVX4eN+s1kXzPL15nalk4ZB+Fw7to1ocnV2OXLxcwtuT2QGyBgRefPi0fl6aRJJeE6c5u+fUQBWGgAAIgAAIgAAIgAAIgIDOCeRxqUBynym1t/w2RyWkPHyp84mgEATMmAD7VnTKHkpm7CRcAwEQyEjg3qXzkzu3oXI58xQueuX2nUJuKGKbkZPaLafuPR7StVPg54/UyAq1687eud/RxVVtRSoPOH9g77yBvanuly5dql8/ZZNJlRWYfMcDBw506dKFcuPw608e3nkVuXT2n92LhvZd2i/HmK7OrEQ5KbuR+UFK0gg4W45GDN8QNmrFppa9+pFuqyeM/t+mtXT/Bes3Tx4ygD6FoDGBpu07njv8Lz3cLZfnsff+9Klmgkwqffv4YXhwsFSm7YccNpvD4/H4AoGNnb2tvYODs3MO95x41ECVdXn94F7oj8CUnnIW39q6ePmKzjk9VBmLPiAAAiAAAiAAAiBgVARI0PnA3f7RCUHEKm/n8p19txqVeTAGBIyfAGpAG/8awUIQ0AuBSvUblate68HVS0S7/4f3m/cdXDpqiF5msjClLaqUj9iyvV/TBlRwn1SFnt6z05L/nbQW2uiJBL3/HtFvmTWgra2tabZJiUmKosqXDx9cMqzv4/W5yxYSsBIU9fqtiVxMkA1o5livnLDMoMFsDicxPp4Zfe42eBiizzRzbYR9p88xo89EVd9pc5SuTdazJSUkDKpdJS4qihQHz7q3Sj1SfrHIf/LfR75ixSvWb1SxXgOPvPlIYFolHRbWacvMKZcP7WcuAaHH5fP3PXtHFYCyMB5wFwRAAARAAARAwLQJOAg9SfVnUgaauBEQ/pjkQVcrMtC0XYL1IGBYAijBYVjemA0EjIYAiQV0GT3eylpAWXRo/epH374bjXWmbUjnujXGrVzP41tRbjy9+d8/K5aQlEw9ecXl8mjNgYF/8g3pJgsQmIVHuFxuph6TqtzzB/a+u9qzbAFrllS1CKeMVdDD6t4azyUjBq2fOp5W27prj93r19CnELQhMG5omr0HfarWaNa9lzYKydiZ3TvEREQwQ59aKiTV8qmD6CQC0fb13dv/rVs14e9mfSr5DK1f49aZE1pPYVYKxElJFw/8k24JCDqpWHzz5DGzchXOgAAIgAAIgAAIWAwBb5cKVQunBJ1JJeiAMEPv92MxpOGoeRJAANo81xVegYAqBMrXqtuoczeqZ8BHv5UrV6oyCn2yJMBns+cO6Td93SZrgZB0JmGX3Uvmb541VSrRthpAplMXLFWGbvfz86NlyxH+++8/yllSANozX/6MjhPyvauVX93frkIJocKyGxmH/W4pXVCwd6yzRCymrrfv3vPYP7s5bFKkA4e2BEbOnh/s/42pZeK6LcxTDeTE+LiPL15oMFCzIRKJJMT/2+oxI3pWKLVi5JDIX6Ga6TGzUTK5LCVpPINj8TFpdpvMcB0NIAACIAACIAACIGC8BEp5tyD1N4h9pBbH2eczjddQWAYCxkcAAWjjWxNYBAIGJNBu0DChnR014dl9u4/et8Qt7PTBm2ThzhjQ++8BKdmdJAa9f81yev863c4ol6fWGbDM0rRWVinJ5gQFlaCajvCd82f4ol8DWuZgiVTLfWaOF8s713fI55785zJvkWKH9uxiXoSsMYGAn6EbF85lDid7D3oXKsxs0UAmpW8Mf3eAvOrioqPJy6x/tQobpoyPCvulgeWWMgT3bixlpeEnCIAACIAACJghAUehZ5OysynHSAz6HGLQZrjIcElfBDjkuzh+QAAELJZA/uIlW/TsS6WqRf76tXbhvASJvipF6OttzIj1Ll0wv3XfQSmZgHL5usljb549RYVIdfiS4/+po0JIJCQkGDEPvZhGUlDpEhwOOZxZnEz+ru1cNHdxX2eeppEvku+8a6w7Ce6fv3BBUx168d10lZJ3mbadu5JCDbQLOdzcO48cp5PfC1qnoQUSh5bLrx4+1K9q+WtH/6fz33SdwDGYEkXwDWYAJgIBEAABEAABEAABfRAgxaAb+8yiPuq8CjzlH/ZIH7NAJwiYHwFkQCv6ioR2ELAMAmx219ETXDxyUd7eOnt6/dHTluG5Ibz0shVsXruqRe/+1GQxkZFz+3Z7ee+ObufOU6QorfDJkye0bCECCfnRYXdOZgWgQ398//nxee+mTqzUTHE12UjlVX1sODKZPT/zAtNqqkN31tpdex/+3gGVYkEWbv6BI/TTGKYOiLwmN0weN7pJXSKYui+wHwRAAARAAARAAARAIB2BUl4tS3q1oBpJDDrdVZyCAAhkSgAB6EyxoBEELIhADvecPSdOY3OS3w0kYtHaaRP8QsIsyH89u+outJ41e3axvypQ8yTExS0fNfj7l086nJYZ5LLAEhwkA5re64yJgiZMIv4FPPgs7ULHPA67QE7Wy1evabUQNCbwLujn9FEjmMNrNm9dqpIvs8XUZfJS/P75U++KpT+/fmnqvsB+EAABEAABEAABEACBdASqFknejZCkQjfxSanIka4DTkEABNIRQAA6HRCcgoAlEmjarVe5GrUpz/0/+C1cuQplOHT4Oijn5bH10OGy1WtSOr+8fTO1S9uQAH9dTUGCzp75C1DaPn/+rCu1pqInLi6OxKApa8v4Vsu49dnnNy8L5+axUjYR1NAttkxePC/XP+C7huMxjEFgxKABsVGRdAMpvjF9+x761JwEUhh6Utvmt04dNyen4AsIgAAIgAAIgAAIgAApBj2u2ROSCg0UIAACKhJAAFpFUOgGAuZMgG9l1X/6HBs7e8rJg2tWHL1135wdNrhv1QvlnbtqraOLCzXz59evtsyeJkpM1JUhOb28KVU/f/7UlU5T0SOVpt4uoVOhmcYnxMYW9uSztCyGIGflzGEd8jOUqRmyBgS2Hj525UyaOj+D5y7mW1lroMokhpB9MdeMH0UKQ5uEtTASBEAABEAABEAABEAABEAABPRBgIfyhPrACp0gYHIESlSq0rr/4P0rlxDLExPiVy+cX+/4cWc+7lHpbCWbly+zaPeBMZ3akHgoUXrp3/0kcjpp4zZrgVD7OegUYO1VmZyGd+/e0THopt17Z/yjRoohSLWMPv+GQvaUww6EWr48ImLjR/TsJmPcM2jYqVujLt0zrprGE+lQlcY2pBsol8k2TZ0gsLXxbZJSKzBdB0s7NcI1srQlgL8gAAIgAAIgAAIgAAIgYGACiC4ZGDimAwHjJdBh2Ki8RYtT9t0+e2rpxi3Ga6tpWjaoWYM52/bQZZqvH/vf6V3bdOJKi179KD2kHgUJyOpEp6kosbbOInnW1TP3048iFle76DGH5R+cmC9fXlPBYpx2tu/SJTE+nmnb0AXLmKfmKpO7IKtGDfv44rm5Ogi/QAAEQAAEQAAEQAAEQAAEQEAJAQSglcDBJRCwLAKkEuuAWfM53JTN2jbNm3H2+VvLQqB/b4e2bdlr0nQOJxkyqRexafqkUzu3aj8tl8ujlWQZkKV7modw5swZ2hGPPPlomRbyFy/pHypl8bQKQMvY7Nf+8jzenrRaCOoSWLl565VTJ5ij1p6/7uTqymwxY5nEoKe2bxn6PdCMfYRrIAACIAACIAACIAACIAACIJApAQSgM8WCRhCwUAJVGjap3jRlI4XI0NBZY0aGxiVYKAv9uC3kcTfPn9W67wBKvSgpafu8me8eP9RyNhePXLSGs2fP0rIlCN+/p24M6F2ocEaXyQabH4PE8VFa7UIoEsuCIlllSpfKqB8tqhC4/+b9nOnTmD3r/N2utG81ZovZyyQGPa93V7N3Ew6CAAiAAAiAAAiAAAiAAAiAQDoCqAGdDghOQcCiCXD5/BHLVr9/9jgkwJ+AeHj10pp9h+YO6GXRUHTtPMlVnjtvbnBgwJ1zyVuxRYT+nN69w7z9R4qU/UvjqfIULcbmcEipWaLB3z957Szn+PDhA+WsvVOOTGvLWgmFVZq0nr7ryvLBbqxkQuofPPaek5EtWv3t5JRD/cEYkUxg1NDBkaGpO2SSWyYzdx8k7ZkumTbI1FXI5fE5XKU345M1kt8tmVQi0cYwamzQ1y+rRg8duXK99qqMWYOSVSCXlFw1ZqdgGwiAAAiAAAiAAAgoJxCd8CMg7FFJr5SMLuWdcRUELI1A6lPbluY5/AUBEMiUgGsuz0FzF8/tm7JR2NrJ4ypXrNC8HBI/M6WlYWMJd5dtO3f+3aTx+6ePiYqfgQGrx41cevysjZ29ZhpJZiXrzz578Wlr7Gqm0IRGPXyYkj/ulju3IrN7Tpo+tPaJ2X1c7DTYV1POio6XDl4f8fHjckX60a6cwKAp0+9dv8bsM33HP8zT7JLZbM7IlWt9qtdSYkDyrxbZx1IiiQ4Le3X31pV/D/q/fyeXa3YrI3meu2dP123XqXS1GkomxSUQAAEQAAEQAAEQAAHTInD++cw3gaeIzQ5CT2+XCqZlPKwFAQMQUJr1Y4D5MQUIgIDxEaj9d7smXXtSdkWFh80ZPzYgFoU4dLxOxXO6zly3yd3Lm9L7+sHdOb26iBITNZvG1sGRx+dTYy9cuKCZElMcFR0dnZSURFkutLVT5EKh0j5lajbovTiEZa3+Xz0bzvgNIfXqN8yfP78i/WhXQuDEzTvbli5mdhi2aHlZpTFfZme9ymw2i2RAC2xtlfyQ1xW5M0Ty63MXLNSoW68lJ89vuv2w/5yFtg4ObDJe/YOEs1eOGpJ80wgHCIAACIAACIAACICAuRCIjv9BufL6dxjaXNyCHyCgMwLqfxXX2dRQBAIgYKQESFSl1+QZeQoXpex7eOXitDlzpUZqrAmb1blqhfk79trYp2Q937t47n8bVlNlNNT1isTB6HgWh2NBb+xRUVE0KxJlpuWMwsJ/T1x4LVj3v3CWtTpBQ2v21mPhBx86XbxwPqNOnbSQhXvv5/fv4aMTJ00fN37K2PGTt2zd+eTJk0RN70boxCpdKfkSFDKgc0epREwrLFmpSss+A+nT7BfUeTlQ1jq5utXv1HXHo1fN+wygd21Vy5G4qKh/VyGhXi1m6AwCIAACIAACIAACRk2gcdnZlH2BYY9IIQ6jthXGgUB2EOCQDBz8gAAIgEA6Aq65vYYuXsHjpSTVHlq3avn/TmbHe5SZz9m7Qa3BsxdweSnVkLbOmnp0y4Z0a6HKqZXQxi23FwUrODiY1Ks1c3B/3CPO/hFZPCtrJaxIffMd959P2CNavj+cxVUt6Mhl7zoVOXh9wqtn9+lZdCiQEPPGjZscHBzLlCi6ekYHmf+6vEmbXaO2nNwxqHbV8nZ2dsOHjwgLC9PhjIZX1WvgwJ/fA+l5rQXCuQeO8gUCJSul/SV6OhUFjWfsOnHq8nNXrawFKk7E7HZ807pfQT80ntr4BzKdTScbv/GwEARAAARAAARAAATUJWAv9PRyLk8+9kQnBJEkaHWHoz8ImD0BC0qUS/f9B6cgAALKCVSoU7/T6PHUM+ZJCQkrxg6/+9lf+RBcVZcAl8VaOHpYu6Ej6YG7F819fP0Kfaq6IJOmJKlzuVzNKgOoPpfx9AwJCaGNKVGpCi1nKpD65jsfvJh+QFR9ZIBYKlMWhuaxJXJ5g/H+o3fKAvw/eXunVErJVK1mjSdOnBDaOO5fN+Lqllwfb5Tbt7XMkCH5m3fI26lH3nXLSr689tfr08Uk33e7urqOGzdWsymyfdSAMeNunDrBNGP1hes53NyZLaYu58qXf/PdxzZ2Csu/KHJQJped2LJB0VVTb+fxrRS5wLeyVnQJ7SAAAiAAAiAAAiBg0gRKeLeg7CdJ0CbtCIwHAX0QYF+L1sGu7vqwDDpBAASynUBCXOz4Vk1IeWLKknrtO+/Zsc3TzibbDTMzAwKjYoaNm3Bi2ybKr9wFCq658J9zTg+13NwyY/KBVUvJEFKCIyIiwsHBQa3hJtp50aJFkydPpoxfeeZy2Rq1s3QkITZ2/eSxNw/vallJMLa9Y9kSQhaHVDD5PY4kRstZ7/wSFu4P33ctYdioMQsXzBMKhVnqVLdDr969zx/btWNRQZ9yjiJxavmUdHqs+OywkMSxsz4ESUq8evHUtO4rnLpzv0PDeolxcbRTLfsOHL1yPX2qJyEmMmJA5bJ0RRrls5BflrEbtpav20B5tyyvEjdH1KseHa5eujrZAnHTnUeOLq5Z6s/YISw4aM/82T++fJLJyJ2n9Bn95Jwo5/C4Qjs7EvH3LlyscNly5A4NeQ4goyp1Ww6tXPr4yiVp8rwKD1JK6MfnT5leJgVMbJ2cMr1ENRLj7Z2dR63eqAoZiUi8fGj/0O8B1G8wUy2HzSYFvkl9fDcvrwKlfcrVqkM/JsLsBhkEQAAEQAAEQAAEdEjgf3f7B4Y/JgpLeLVo5DNbh5qhCgRMnQAC0Ka+grAfBPRL4PX9uzO6tQ8PSSl0MGbpqsVjR/LShzv0a4MlaH8XEta0bq0vb15Tzpb2rUYqFTg6u6ju+455M/cumU/1J1vz2f8pLa26BlPsOX78+GXLllGWnwoIs3N0VMULEp1sldedRCpJZzcHTuFcMlcHEoRmh0RI/ULY1k4FmzdpMG3qpDx58qiiTd0+Q4YMvXFuy4mtxbk2fJk0Y9wsjT5y2VbAnjnH755/oQcP7llbm0b2aEySKJe7e1x0aoXuPEWK7n6U8vJO46GuT7IlAE2cCP72dWzjOtI/DyKo4ha5o9Csd/9uk6ap0pnZJyYivH+VcuTGBbNRiZx864LNlsvkhcr4VGnavGL9Rjnz5FXSX8mlN/fvzu3ZWbNS9UrUZrzk5O6+8ebDLG+6zO3RiZiU5f0GooccOXJ6+DZtXqtNe+8/OxxknBctIAACIAACIAACIKANgdeBJy8+n0U0OAhz9a17RhtVGAsCZkYAJTjMbEHhDgjomEDJyr4D5ywkuXSU3jWTx28+fUHHc0Adi1Usp8u2w8c98uajYLy8e/vAiiViUZLqbCo3bEJ3PnDgAC2bt/Dw4UPaQR4/pZQ23aJIWDq0PxV9Jh0S2PYr9z3uO+1Yj0n/bj328vvP+B/+H7Zs3qCn6PPOnTsP/bPh0oEyLGteltFnYh651xOfKJ8xvWhBB7+27Toq8sio2uOSRDXqN2BGn3l8/urz143KSJ0bQ355+81dTKKcqmsmYdPbp9OUKFFx7PFN61WPPhOdZKLfIWP5xxfP/lk0b3TDWnO7dyTZ0ypOx+wW/O2LAaLPZMbY8AhxUhZvgKTY/bd3b7KMPlMESOewoB+nt2+Z2KLR/F5dwoODmH5BBgEQAAEQAAEQAAGdEPB2qUBXgr7rt1knOqEEBMyDADYhxB6MIAACWRBo0Ll76wFDqLc8iUQ8f/jgUy/fm8c7oFF5Ubd4oVELl1kJUjY0O7Rm+cntW0iKo4o/ngUK0u7w/uxqSLeYq0DXgHbxyGVtY6sKq80zJp37ZxcFxM7R6eK9h5XK/9WyZcs2bdqUKlVK8Ie/PogFBQX16dPn9t5iCRK5GnFKFispSbZpVfF3D09s3mwCn2InLFr6/NYNJsApW/c4urqpsjo66cOcOktZJzNSSmq361C4bPLOM6ofkaE/X9y5pa4Nb/6URVJ9ImZPEoolj7aMbVx3Zuc2YpFIrdllKqddM2fUTFbJMNJJzYO4//LOraG1Ku9dPE+lKVR+E4Y2EAABEAABEAABECBbEdKVoN8EngQQEAABmgBH1dgGPQICCICA5RHoOWlGuZp1qK/5Qd++zBk1/H1Y6sP1an79R3eFBCZ0btt78gz68q4Fs26eOKbiu7Sjs6uNnT01dt26dbQSMxYSExPfvXtHOfhX7XqqgHp24/rB1cupISRZdcikqb7FChsM0aAhwwf+7Sh0t0k2Vc0jNl62enr+8ZNnqznO0N3X7z2wae5M5qwjlq6p/Xd7VVZHZ32Y02cp6/T9fOiy1eomQR9bv0Zdx5MS4rN0K8sOJHH4/eNH/SqWvn74X/UMyFK1rjqosjSazkUC6Wd2bJ3UsrFULFHPfVWsQh8QAAEQAAEQAAELJuDlXIH6hBKdEBT46xE+aYAACFAEUIJD0+8uGAcClkTAIYfzkAXL3HN7U04/unpp7sJFieRTBQ6dEiBZsTPHjGo7eASlNTYqasvMyaS2rCqTkLAX2XOM6imRWMTusqTUNU1Glf3KpBLJlA4t6doF3YaPWjxpHK1B3wJZlHOnTk8Y5CWVaPibU8XXpZBT0Pnz5/Vtqsb6/UJ+TRk1XMaog1yiYmX6+QmN1ZrQQHcv7zI1aqllsP/7NyQnV60hOuyclJCwZer43fNnqqiTLsekYn+NuyUX1lDhMQGy06DGU5C3gm/v3o5rWpdsTKq5EowEARAAARAAARAAgbQEHISeVQoPJG1ULY60F3EGApZLAAFoy117eA4CahEoWNqn/+wF/D97oO1bvmjS0pUaBtLUmtjCOueyE86cOqWwTznK7++fP87s3j4+NkYVDK65clPdXr58GR+vgxxJVSbNxj4XLlygZ/dt3IyWMxVIVHRYg+qJf7B45Mm3et6cTHvqqXHXrl0NK8rs3Gw01h+TKBvUzXPGzLkaa9DrwJCYuPo1qkWHh9Gz5C5QcN3l2/SphQjDlq0hN4NUdzYuOjqGAU31gbrqSUK9F/buWjlikCoKPQsU4vzZEkCV/hr2YbPdvLysrLLYcpNYUsinrFop5xnskQf7f53StplhCltnmB0NIAACIAACIAAC5kmghFeLPnVOt6uy1cslJRvaPP2EVyCgDgEe4kfq4EJfELBoAnXbdw798X3LjEkUhS1zppfxKdunUR2LhqIH50vnzrnh0JEONX0jfoYQ9R+eP908fdLwpau5WVV2pm8PkFHZmFOpBySZqwwMDKQvkMRM5X/OSN3n908eUf1JRv+bVy9z2NvRww0gHPj3WOvaznHxUo3nkkrl5X0chy95LhKJrKysNNajj4FJEmnFv8oFfPzAVD5u/Tbli8LsnF0ysVC3Rto6Orl5ef8M+Ka6R/cunG3Ytafq/XXek8SgH148t3xo/zHrtypXXrR8xYGLlh9ZuyopPk5JT4I0OuxXph0EtrbWAmGml1Ia2exCPuXGrNsiVyG7efyW3Rsnjnl5+0bGCLJEIkqMjU/eflF5grmcFfz1y4xObeb8e1yZVbgGAiAAAiAAAiAAAioTIJWgSV/dfshUeXJ0BAEjJcAzUrtgFgiAgFESaNV/8McXz64ePkisS4iLm9Crq92x0x2q/GWUxpqwUfWL5p+1afvknp3jY5Jzn8/s2lq8YuVGXXood8mnWs0Pz55QfYKDgwsVKqS8v6lfff8+dTNMz/ypezBm9Ou/44eXj0h+Do4cJI4/Z816A0efSQjsxbNnY9s7yGTqbT9I2Uz9S2oNODjwxGKJWCw2tgD06Nlz00WfV5y5WqZqDab9liPXaN326LqVyUUkVDtunTiavQFoYiax9vGVixf+2dWoWy/lVtdo1Zb8KO8jFiX1KlMkIwGSrdxpzMSGWU2hXHm6q4MXr0jXQp2S2cVJSfEx0a/u3to1d2ZCTHRGe+iBn148vXv2lG/TFnQLBBAAARAAARAAARAAARAAAR0SUOMpUR3OClUgAAImSkBgYzty+bqif6U8SRQWHDR31PAngcmJujh0S2D4383aDx9D6SThy41Txvr9CS4rmsg5pwd96fv377RsrgK9AyFx0NbRUZGb5FW6avRQ+mrfEaNHdutEnxpGIJGvJJEop4u2N325Aq5cRqpJa55GrQ9/563buHHebKbm+h26lKlmodFnwqFuxy5MGlnKX1+/IgXKs+zG6EBuRuj+IK/SPfNmhofo4P08Yz4yba6SS3QfnQgk2G0lEDi5uVdv2Wbbw5edxk5iK64qTXzfMG5EotK0bp1YBSUgAAIgAAIgAAIgAAIgYJkEEIC2zHWH1yCgOQE7J6eJG3d45i9AqXh1/87Anj0+/orUXCNGZkaARJiWzpxer0NKJCsmImLRwF7MArsZB5WvU59u/PnzJy2bqxAeHk67ZmNnT8vphMntmtPcfHyrbVi+JF0Hg52qmhCblUEqVCbISoXurr/89GXZrBlMfZUaNJ68dY92lXmZ+kxPzuHmTuKeqtstlUpIoq7q/W3sHVTvrFZPEofdPDnlvpdaA42/c4v+g2cdPMrj8RWZKpVKH5w/o+gq2kEABEAABEAABEAABEAABLQhgAC0NvQwFgQslEDeYiVGLF9nLUyp4/no6sVFa9eFJqmVwWeh6NRy282Ku3zFijxFi1Ojvr17s3rMMFFioiIlufLlpy/t37+fls1V+PLlC+Va1aYtFfm4bPiATy+fU1c5XO6+PXu4irrqs51EY22EwqCgJMUpmCpNL0mUsrl8XlbVwFXSpYtO/mERNX2rRDGq/ZI0/IWHT+tCt2nroH9tVXSDbEWoYk/SrWLDJqp3Vrfn67u3Pz5/qu4ok+hfuFz5BSfPc7kK3wP2LppnEo7ASBAAARAAARAAARAAARAwOQLJuzbhBwRAAATUJVChXsPRqzfRe0ltnzN96PiJ4WKZyb0JGrnBPrlzztu41cHZhbLzxokjZ/fuULRYNg6pZShImQYjd01L8z58+ED7mLtgoUyZfHjx7OL+PdREJAR84/GzkoVSMve1nF3d4RwOp1zZsp++xnK1yF4mPkZHivk8jpEEoCPjE3yKFY0MTZNrv/L89UzXwpCNaq2OngzLlT/1bpAq9sTHxqhuScNuPYV29nrKMScFfy4f2Ku6MYp6KvJaUX/DtOcuWLh5v8GK0JE60Z9fvTCMJZgFBEAABEAABEAABEAABCyKgLb1KBV9wUA7CICA2ROo37EriT1tmjqe8vTw+lVFSpWeN6CX2TtuYAe716n2cOK0dZPHktqp5Ng0ZVyeIsXK1aqbqRmlfKuTHbfIpdOnzTwL1d/fnybg26Q5LdNCYnz8sLq+dGndToOGVilTkr5qeKFnzy6bFpzu1jVPdIyGFZx5PPbdJ9GVKlc2kh0I+w4ZFvkrlEly293nuQsUYrZYrOzunZdEOUlFC1UIkG4x4WGq9KT6WAmEG+88uXvmJMnul4hEmQyUy0k54+BvX7++fUUKH6toBq3n/oWzAxdlvrMf3cd0hQ5jJtw8fjg8JDijC2SP0Nf37uQvVSbjJbSAAAiAAAiAAAiAgDYEohN+OAg9tdGAsSBg6gQQgDb1FYT9IJCdBFr2Gxz46cPZXdtIYJSER1eOHUGKk07o3AbvLLpdlbnjRn31e3dq+2aiViwSkUIcy05fds2VyScYW/vUUshBQUG5cuXSrSXGo23r1q2UMVwer1CZchkNm9H5b4lYTLUXKlN2/4a1GfsYsqVTp049e/QL8Y8T5hBoNq8Nn71hz4/NBw5oNly3o/qNGX909w6mzq7jpuQrkZ0hfqYx2S47uLiqZUNCbKxa/fnW1jXbtCc/ykeRd+Zr/x44tn5VBElUVy0aThSKEhL8njws8ldF5cpN92rNth1ObFybWVxe/iGrvV5N12tYDgIgAAIgAAIgkC0E3gaeDAx//DbwVJvKW7xcKmSLDZgUBIyBAMcYjIANIAACJkrASiAYvnRNzdbtKPvJU+Qze3ZavP+IhhmeJkpB/2Y7cljz5i8oUakKNVXgR7/1E0bJpJlgLl21Bm1OREQELZuZQCJHz5+nVHbm8fl8K6t0Dp7fu/PJ9StUI6lKfOLCpXQdsuW0a48uM1d84/E1/Mt7/sLPWF6hmjVrZovxzEmHT5+1feUyZkuTHn16T5/DbLFwWWBry1Kn3EpCXJw+iJHaL/U6dV1740H+4urdG3h82Sh+ZfTBhOhs2LWnIs1Bnz8puoR2EAABEAABEAABENCAwJvAUyT6TAa+/Z78Lw4QsFgCPJWeDrVYPHAcBEAgKwKkHu2gBcu+f/5IJY6RnNM5fbsX8PLsXNM3q6G4rgaBMjmdZ65Y079lk+jfj+rfOXvy6Ka1bYaMTFfMlOwPSSu9efNmiRKpp3S7GQgkAB0SEkI5Qu6CsLlc5t8ygmjFiIG0m7MWLSnhoV46Kj1Wt8LqlcsdHbaO/xjlns9e5WzUFBMcrFmj5gVs3ntYtyZpoO3h2/c7Vqepz9C0Z7/RazYxl0ADtboaooEZGgzJ0louj8/+vcdGlj2pDmJRkj7MSJmdzZ7574mRtatEpS2Zosg28vv19d0bbexRMpZcUnJVkUm6bXdwdXPJ5fnrx/eMagmibDcvo1VoAQEQAAEQAAEQMF0Cxb1afA9/TOwPDHuEjxmmu46wXHsCGuZhaT8xNIAACJgNAfJNfvb+oyWrVKU8EiUmTBk84PzzN2bjoJE40qFaxaELlpKKE8QeUtp47+K57x8/TGcb88H/r1+/prtqNqeJiYkJCQmUO16FilJMaO+G1q5CKg9Qp1Wbthzeqzt9KXsFe3v7o8eO1+71kZUgSnfnQIlh5HOqrZDdus/rv7sNaNeurZKeBrj07MOnOlUqx8fE0HM5e+QasWIdfQqBIkC/AlUEwuHqt3AReVBg3tEzKhpDukWFptzgUX2IafX0Llo8U4PJczyZtqMRBEAABEAABEAABDQjkPtP2Y2YhKDvYY80U4JRIGAGBBCANoNFhAsgkP0E3HJ7Td91sEi58pQpX9+8Gtih7VnEoHW9MjMG9K7TtiOlNS4qauXIQel2gSPFjuk5P378SMtmJpDqIqI/e68VYOwYRjI3V48eGvztC+UvKb5x/uj/jMr31q1bzVu8vFr715E/E/gq1OJgc9g8lnzkuLcyh0pbNm/MXl+evP9Qt3q1uOgo2gx7pxwb/nuQ7gYAfdWSBXIfjrwaVSdgJbBWvbPqPcVJiUFfPr26ffPCnu1H1q4klaNVHEtqzavY00S72Ts7Z2p5pqWNMu2JRhAAARAAARAAARBQhQDZezC3c8rXZFThUIUY+pgrAf1m3JgrNfgFAiCQkQDJgx66eNW0jq1iIsLJVX+/d72aNVp/7Ez7imUydkaLZgQEbNbKDRvbvH9LFTz5/OrFrrkzRq1OjUuSehRuXt6hgQFE/40bNzSbxfhHkQLQdIZpycqpxV4IltM7krdqJIeVteDMhYv21unLQ1NXs/HfsWPHiMWi8m0nH1joVaWWu0yaeaCSFBDmsllBgXHdR/p5Fqt1+/ZV1ZOm9eGd34+QJvXrRfxMTYy1dXDc9fSdg7OLPqYzdZ1xUZFquWBj76hW/0w7i5ISyf6B4T9DPr94+vrO7Q9Pn4QFfScvG/IKy/xFlqmW340yacozBIq7mNIVUWIiuSUQ/O3r2/t3H1+++OnFU3XuDpiSp7AVBEAABEAABEDACAkwq3AYoXkwCQQMQwA1oA3DGbOAgEUQKF7Zd+6hE7O6tokMDSUOh34PHNyysejwya7VsNuvzl4ApZzt567b1KdJPaoMwtnd2wr6lG3eJ7XksbN7TioAHR4eLhaLyRZ9OpvbaBS9ePGCtqV2u45Uoimpoju6cS26vW3vvlV8StOnRiVMmjSpZcuW9erVk85/umlabt9abjIuRyKWy+TJG9fxuGw+lxXwMXrYzC/3/SS7d+/u3r179kafCb0Rw4b+/H1jgyIpsLHd+eStvbOLGlm+BlkDde0h/dUdooofod+/qx7zJYtr4+CgsRkx4WFXD+27dfzIr++BZFIp2Z6UEV5V3Yy0fjFUpL2gyplyX5RfVUW/Kn1IMY33D+8/unj+1Z2bMeHhJLVZKpWoMtAw5qliCfqAAAiAAAiAAAiYBwFPRhUOUgmaLsphHt7BCxBQkQAyoFUEhW4gAAIqEShR2XfmP4fn9+5C7e8UFhw0tkt78e59vWqnVIhWSQs6KSVAikE/nb908YhBpBeJLu1bMr9szTpehYpQg6q1aP3+SXJxMYlEEh0d7eJihgmqmzZtopwlRTZ4/JQc52WD+5A8R6qdlCLZv9GoCxOT/SH9/f2vXL06Y+acZ5PveLmzPF159rZckUT+46co8CfLyT3f+Amrznfv6uTkRDmVjf+26trjwrEjTAPGbtjm5ObObIHMJEAKXzBPs5TtcuTIsk+6DqQIz9F1K59evURuOFFpzuk6WOBpoN/72yePvr5zKyzoB/UsDoGgaQjeAvnBZRAAARAAARAAAb0QoKpwUFsRkiocCEDrhTKUGj0BBKCNfolgIAiYGoGSVapN23VwQd+uPwP8ie0h/l8ndOvI2nuwV51qpuaKkdrLZrHG9ut1/79r148cIiaSUMua0UPnHDohsLEhp+Vq12PNnkaZvn///uHDhxupG5qaFRMT8+3bN2q0/Z+w3cV9u68dTqZBDmuhzZHTauy3Ro0y/L8kOb1xo0bkh9wnePny5cfPX8LDI3lcbtGihUuVLOHp6Wl4kzLOSLJBe40cc3L/XualbhOn1fq7PbMFcjoCQZ/VC0Db2Nmn06DkNMDv3cnN6++fOUn6UNFVC4+xfn398vbJ4/fPnYwKDSUoLJyGklcOLoEACIAACIAACGQXgWJeLagANPYhzK4lwLzZTgAB6GxfAhgAAmZIgORBz9j7vznd21MxaFKLY3ibFqwjJ3vVrW6G3maHS25C64mz57x9cC8kIDkU+/zm9aMbVnUeO5kkQto7OSfXcfj9AP3Zs2fNMgBNI89TtDiRY6Mit06fSDcu2rSljLdRRG9pk5QLDg4O1X4fyrtly9Wh02fvWbOSOXXrQcN6TJnFbIGcjgD55Qv48D5do/JTGweVakAnxscdWDzv+r8H6BroytWa91WpRPLuwb2dMyeT4jBymVkVrTbvhYN3IAACIAACIGCBBOis55iEIBKDpk8tEAVctlgCHIv1HI6DAAjolUCRcuXn/XsyV74C1CyxkRHD27bce/O+Xie1KOWNShYZvmgZ39qaeE0y/v5dufT1vTtEJpvCsVkkSTr5iIiIoARz+pdOfyZOlahclQSeFvbtFhX2i/LRp3qtgZ07mpO/2ejLkBmzN86bxTSgfqdugxeliUczr0KmCDy6dC7lN1A1Ii4entZCYZZ9X9z6b3Bln6sH9yH6TFh9fPZkSGWfRb27hPh/Q/Q5yxcPOoAACIAACIAACGQvAaoKB2UDqcKRvcZgdhDIFgLYhDBbsGNSELAIAnlLlJp96Pjc7u0D/JKTAZNj0G1aRGzeMaJNc4vwX89OkgjX+M7tHt64fmLzejIV2XFr89Rx8w6fJgFoUosjIS6WNAYGBurZimxQ//DhQ3rWCvUb3b947uGl81SLnVOOoydOCPl4uIcmpLkwcvqsTfPnMMc37Npz7IbtpMWYd2lT1zbSX90hTCaZyhd2b1erCkTZOvWytGHj2OF3T5OaG1l2zNQiTRq1mUnJWHJJyVXVDGXP79bO79EDtSCrpjm5l9bmqT4VeoIACIAACIAACFgQAVKFIzrhB8l9Lpa7BT5vWNDCw9U/BJAB/YcE/gcBENADgf+zdxYATX1fHB+M7u4SQSQUBExUVOz2Zyeigh1/C7u7sbsVO7DFQgULREVCEZAG6W74nzF8zDHGxjbYxtmfP7/77rv33HM+b0P4vvPONWxpsebiDWqdBDCflZqy2tV53w1K6VJ8cU5AQoS0efMW6y7dqKZ+BHy6uncHtC07VG35mJiYyPkq/Gbh/v37hEuyioprRg8hDlft3GOswlIpA2IKNhgS2HLg0IHNG2gFPsh9pqrPDMdjZzWBioro0ODqQxZaDkP/YzKqtKRk87gR7ykVn/FPFdLvkO8z21r9+PSB9s3JhB5xCsoTUV9qunr2vfs2a2VNnMIGEkACSAAJIAEkgAQagABIz5O6P3BqvR7rbzQAbVyCDwmgAM2HFwVdQgJCRQDUZ/eTFwzMWlKjyk5Pd584Zse1uyVCFWWjBWOpqrB44xYJSSmqB/dPHvni88LGsQf1EB7V//r1a6M5x5uFiQzoZpZWR5ctJBbpO3K0+7TJxCE26k3g6KUrK+fNoRX4ek+YvOTY2XobbFITvS+dLcrLZz1kCSlpI8vWTMZvGjf8RwCvsn2ZrMuHp0Le+64bPjAvO4sV30BuhmHwOIiGvkHLdh0HTZ/tfuby6e8Re174zTtwHDbLZcUIjkECSAAJIAEkgASQALcIyEsL0i413Ioa7SABggA+p0ygwAYSQAK8ImDS2mbr3Scr/xsAyWuwRnFhwcqJo/KKLqyZOIrMqzWbkN1xjh3frt10fOUSUAwL8/OPuP9v7h5KUQ7q69mzZ9bWwpPrl5qampmZSQ0t8XdUVDDlHQUvBVW1EydOUNv4nRMCBy96zp04jrAgKirqvGrDmEXLiB5sMCFQlJ9/cfP6CnZSlRVUVUXJtf4g3Dl1QlQQ1+4hgSZLe1+BSSB8eCr8s/8Ol/F11r+GGEXJYqa2du37DWzdtbu6nj7DWMrKyhj2YycSQAJIAAkgASSABJAAEkACvCCANaB5QRVtIgEkQE9AVVt30837GyeMhDIRcK60uHj79MlFeblbZ0xha7cuert4TCLBkyyrZ8/wuX097BNlj8ffocFv79+WkJIqLiyEw7t37y5atEhoOHl5VddvAbWdiOvEhYt6ivLEITbqR2D/5WsLXSYRc1t3doRbR2QxQfpVoR5VKuoxhUBE13h2+RxbG+KBWuo4YgwJdGE6Q5WHoR/8gt6+ZnSGpT5KCrCICPwoMG/boZVj95btOjy/dO6F50WWJnNW74NhOMS6zM8Sw2gbZaWloMUzV58h3p4TXXpPdFHS1CQeCqnHWvWYQusqtpEAEkACSAAJIAEkgASQABKoSQAzoGsywR4kgAR4QkBNR2/VhWvbp078/u4tLFBUULBv0dzS0tLtc9xqTf/jiSNCaFRXQXbTkRNT+zpBlW0I78Gp4yRSlbD/5s0bgCwmJiQ/7QMCAqqvX0WVUuQwYMiwPr2r+7FVLwKn7z9eMtUZlD7q7JZt22+58xjU53oZa4qT/kT/vrZrG7uR9582g+GUkqKiPa6TGZ6qrZOiOJNIkPNrbG1rYm2jZ2au09xEUU2dGC/+t1YP0SMYjYqK9SMH0d5wonMbAh84fXa/KdOhKDzdKTxEAkgACSABJIAEkAASQAJIgB8I4B+W/HAV0Ack0FQIqOvqrzjrucVl3He/NxAzPK6+739zSisqts2eLoUV6Tl7Fwy3a3XfdebZrRvADBQ5gcoJVHsgzaSlpWlqanJmnl9mBwYG0rmioKJy6fQJcVHMpKcDw8ZhWUXFFe+X0wb3J+oz6Jma7Xr0SkxcnA0rTX7o/rnTCYAswmjV2VFMQoLh4G+vXxYXUR5iYOUFH3MQmrsMH9l74hQFGsWZlbn8Pyb2Z1hMaEhtfqrq6LifvaJpaFTbAOxHAkgACSABJIAEkAASQAJIoNEJoOTT6JcAHUACTYuAipb2mks3WnXuSg27rLTEY94Md4/DVVmXTQsGl6NdvXyZfc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    RStudio

    -

    R Markdown files look different form scripts

    +

    R Markdown files look different from scripts

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    Time (ET)Time (PT) Content
    1:30pm - 2:30pm10:30am - 11:30am Session 1
    2:30pm - 2:40pm11:30am - 11:40am Break
    2:40pm - 3:40pm11:40am - 12:40pm Session 2
    3:40pm - 3:50pm12:40pm - 12:50pm Break
    3:50pm - 5:00pm12:50pm - 2:00pm Session 3
    Day ModuleSlidesCodeResourceLectureActivity Cheatsheets/Guides
    HTML
    Day 1 IntroHTML, PDFRmdHTML, PDF, Rmd Day 1 Cheatsheet
    RStudioHTML, PDFRmdLab, Key, Key HTMLBasic RHTML, PDF, RmdLab Rmd, Key, Key HTML
    Basic RHTML, PDFRmdLab, Key, Key HTMLRStudioHTML, PDF, RmdLab Rmd, Key, Key HTML
    Day 2Basic R (cont.)HTML, PDFRmdLab, Key, Key HTMLDay 2 Cheatsheet
    ReproducibilityHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Good scientific coding practices
    Data InputHTML, PDFRmdLab, Key, Key HTMLDebugging tips guideHTML, PDF, RmdLab Rmd, Key, Key HTMLDebugging tips guide Day 2 Cheatsheet
    Day 3 Subsetting Data in RHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 3 Cheatsheet
    Optional Homework 2 Rmd, HTML, Key, Key HTMLHW Rmd, HTML, Key, Key HTML
    Day 4 Data SummarizationHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 4 Cheatsheet
    Data ClassesHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML
    Day 5 Data CleaningHTML,PDFRmdLab, Key, Key HTMLHTML,PDF, RmdLab Rmd, Key, Key HTML Day 5 Cheatsheet
    Day 6 Manipulating Data in RHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 6 Cheatsheet
    Intro to Data VisualizationHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML
    Optional Homework 3 Rmd, HTML, Key, Key HTMLHW Rmd, HTML, Key, Key HTML
    Day 7 Data VisualizationHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 7 Cheatsheet
    FactorsHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML
    Day 8 StatisticsHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 8 Cheatsheet
    Data OutputHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML
    Day 9 FunctionsHTML, PDFRmdLab, Key, Key HTMLHTML, PDF, RmdLab Rmd, Key, Key HTML Day 9 Cheatsheet