From d35db1a6ebe8ff51fdfdd3ff8317d2377420afc5 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Tue, 23 Oct 2018 16:08:10 +0200 Subject: [PATCH 01/32] initial draft for dplyr 0.8.0 release candidate --- ...18-10-23-dplyr-0-8-0-release-candidate.Rmd | 176 ++++++++++++++++++ ...8-10-23-dplyr-0-8-0-release-candidate.html | 170 +++++++++++++++++ 2 files changed, 346 insertions(+) create mode 100644 content/articles/2018-10-23-dplyr-0-8-0-release-candidate.Rmd create mode 100644 content/articles/2018-10-23-dplyr-0-8-0-release-candidate.html diff --git a/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.Rmd b/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.Rmd new file mode 100644 index 000000000..877b0586f --- /dev/null +++ b/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.Rmd @@ -0,0 +1,176 @@ +--- +title: dplyr 0.8.0 release candidate +author: Romain François +date: '2018-10-23' +slug: dplyr-0-8-0-release-candidate +description: > + dplyr 0.8.0 release candidate +categories: + - package +tags: + - dplyr + - tidyverse +--- + +```{r, echo = FALSE, message = FALSE} +knitr::opts_chunk$set(collapse = T, comment = "#>") +options(tibble.print_min = 4L, tibble.print_max = 4L) +library(dplyr) +``` + +# Tidy grouping structure + +Previous versions of `dplyr` used a messy set of attributes in grouped +tibbles to keep track of the groups and their indices. This has been +re-organized into a tibble that can be accessed with the new +`group_data()` function. + +```{r} +iris %>% + group_by(Species) %>% + group_data() +``` + +The first columns of that tibble describe the groups in terms of the +grouping variables, and the last column (always called `.rows`) +is a list of integer vectors identifying the (one-based) indices of +each group. + +The related function `group_rows()` gives just that last column. + +```{r} +iris %>% + group_by(Species) %>% + group_rows() +``` + +# New grouping algorithm + +The algorithm behind `group_by()` has been redesigned to better respect factors. +In previous versions of `dplyr` groups were created to only match the observed data, +which was potentially losing groups when factors are involved. + +The new algorithm respects the levels of the factors that are involved in the +grouping, by creating groups even if there is no data in that group. + +```{r} +df <- tibble( + x = c(1,1,2,2), + f = factor(c("a", "b", "a", "b"), levels = c("a", "b", "c")) +) +df %>% + group_by(f) %>% + group_data() +``` + +Where previous versions of `dplyr` would have created only two groups (for levels `a` and `b`), +it now creates one group per level, and the group related to the level `c` just happens to be +empty. + +Groups are still made to match the data on other variables: + +```{r} +df %>% + group_by(x) %>% + group_data() +``` + +Consider this tibble using a mix of factors and non factors + +```{r} +df <- tibble( + f1 = factor(c("a", "a", "a", "b", "b"), levels = c("a", "b", "c")), + f2 = factor(c("d", "e", "d", "e", "f"), levels = c("d", "e", "f")), + x = c(1, 1, 1, 2, 2), + y = 1:5 +) +``` + +If we group by the factors `f1` and `f2`, we get 9 groups + +``` +# 9 groups : 3 x 3 +df %>% + group_by(f1, f2) %>% + group_data() +``` + +When factors and non factors are involved in the grouping, the number of +groups depends on the order. At each level of grouping, factors are always expanded +to one group per level, but non factors only create groups based on observed data. + +``` +# 3 groups +df %>% + group_by(f1, x) %>% + group_data() +``` + +In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates +two groups. Each of these grouops is then subdivided based on the values of the second +variable `x`. Since `x` is always 1 when `f1` is `a` the group is not +further divided. + +The last group, associated with the level `c` of the factor `f1` is empty, and +consequently has no values for the vector `x`. In that case, `group_by()` uses +`NA`. + +``` +# 6 groups +df %>% + group_by(x, f1) %>% + group_data() +``` + +When we group by `x` then `f1` we initially split the data according to `x` which +gives 2 groups. Each of these two groups is then further divided in 3 groups, +i.e. one for each level of `f1`. + +# Performance + +TODO: + - unwind protect + +# Less surprising hybrid evaluation + +Hybrid evaluation has been entirely redesigned to be more predictable +and less surprising. + +When we evaluate an expression in `mutate()` or `summarise()`, the hybrid system +first assert that it can entirely evaluate the expression independently with native code, +if it can it does. + +```{r} +iris %>% + group_by(Species) %>% + summarise(Petal.Length = mean(Petal.Length)) +``` + +The expression `mean(Petal.Length)` is handled by native code because there is an hybrid +internal version of `mean`, and its first argument is a column of the data, and the type of +that column can be treated by the internal function. + +If the expression can not be evaluated completely, it gets evaluated using R standard +evaluation rules in a special environment that makes the columns available (the data mask). + +```{r} +iris %>% + group_by(Species) %>% + summarise(Petal.Length = sum(Petal.Length) / n()) +``` + +The expression `sum(Petal.Length) / n()` is not recognized, so evaluation goes through the +standard path. For each group, the subset of `Petal.Length` is extracted, then the R function `sum` +is called on it and this is divided by the result of calling the `n()` function from `dplyr`. + +Previous versions of `dplyr` attempted to partially evaluate `sum(Petal.Length) / n()` with the +hybrid evaluator, because `sum(Petal.Length)` and `n()` can both independently be handled. This was +making it hard to obey R semantics because R is too flexible. + +# nest_by, nest_join + +TODO + +# colwise verbs + +TODO diff --git a/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.html b/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.html new file mode 100644 index 000000000..d57293dcb --- /dev/null +++ b/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.html @@ -0,0 +1,170 @@ +--- +title: dplyr 0.8.0 release candidate +author: Romain François +date: '2018-10-23' +slug: dplyr-0-8-0-release-candidate +description: > + dplyr 0.8.0 release candidate +categories: + - package +tags: + - dplyr + - tidyverse +--- + + + +
+

Tidy grouping structure

+

Previous versions of dplyr used a messy set of attributes in grouped +tibbles to keep track of the groups and their indices. This has been +re-organized into a tibble that can be accessed with the new +group_data() function.

+
iris %>% 
+  group_by(Species) %>% 
+  group_data()
+#> # A tibble: 3 x 2
+#>   Species    .rows     
+#>   <fct>      <list>    
+#> 1 setosa     <int [50]>
+#> 2 versicolor <int [50]>
+#> 3 virginica  <int [50]>
+

The first columns of that tibble describe the groups in terms of the +grouping variables, and the last column (always called .rows) +is a list of integer vectors identifying the (one-based) indices of +each group.

+

The related function group_rows() gives just that last column.

+
iris %>% 
+  group_by(Species) %>% 
+  group_rows()
+#> [[1]]
+#>  [1]  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
+#> [24] 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46
+#> [47] 47 48 49 50
+#> 
+#> [[2]]
+#>  [1]  51  52  53  54  55  56  57  58  59  60  61  62  63  64  65  66  67
+#> [18]  68  69  70  71  72  73  74  75  76  77  78  79  80  81  82  83  84
+#> [35]  85  86  87  88  89  90  91  92  93  94  95  96  97  98  99 100
+#> 
+#> [[3]]
+#>  [1] 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117
+#> [18] 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134
+#> [35] 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150
+
+
+

New grouping algorithm

+

The algorithm behind group_by() has been redesigned to better respect factors. +In previous versions of dplyr groups were created to only match the observed data, +which was potentially losing groups when factors are involved.

+

The new algorithm respects the levels of the factors that are involved in the +grouping, by creating groups even if there is no data in that group.

+
df <- tibble(
+  x = c(1,1,2,2), 
+  f = factor(c("a", "b", "a", "b"), levels = c("a", "b", "c"))
+)
+df %>% 
+  group_by(f) %>% 
+  group_data()
+#> # A tibble: 3 x 2
+#>   f     .rows    
+#>   <fct> <list>   
+#> 1 a     <int [2]>
+#> 2 b     <int [2]>
+#> 3 c     <int [0]>
+

Where previous versions of dplyr would have created only two groups (for levels a and b), +it now creates one group per level, and the group related to the level c just happens to be +empty.

+

Groups are still made to match the data on other variables:

+
df %>% 
+  group_by(x) %>% 
+  group_data()
+#> # A tibble: 2 x 2
+#>       x .rows    
+#>   <dbl> <list>   
+#> 1     1 <int [2]>
+#> 2     2 <int [2]>
+

Consider this tibble using a mix of factors and non factors

+
df <- tibble(
+  f1 = factor(c("a", "a", "a", "b", "b"), levels = c("a", "b", "c")), 
+  f2 = factor(c("d", "e", "d", "e", "f"), levels = c("d", "e", "f")), 
+  x  = c(1, 1, 1, 2, 2), 
+  y  = 1:5
+)
+

If we group by the factors f1 and f2, we get 9 groups

+
# 9 groups : 3 x 3
+df %>% 
+  group_by(f1, f2) %>% 
+  group_data()
+

When factors and non factors are involved in the grouping, the number of +groups depends on the order. At each level of grouping, factors are always expanded +to one group per level, but non factors only create groups based on observed data.

+
# 3 groups
+df %>% 
+  group_by(f1, x) %>% 
+  group_data()
+

In this example, we group by f1 then x. At the first layer, grouping on f1 creates +two groups. Each of these grouops is then subdivided based on the values of the second +variable x. Since x is always 1 when f1 is a the group is not +further divided.

+

The last group, associated with the level c of the factor f1 is empty, and +consequently has no values for the vector x. In that case, group_by() uses +NA.

+
# 6 groups
+df %>% 
+  group_by(x, f1) %>% 
+  group_data()
+

When we group by x then f1 we initially split the data according to x which +gives 2 groups. Each of these two groups is then further divided in 3 groups, +i.e. one for each level of f1.

+
+
+

Performance

+

TODO: +- unwind protect

+
+
+

Less surprising hybrid evaluation

+

Hybrid evaluation has been entirely redesigned to be more predictable +and less surprising.

+

When we evaluate an expression in mutate() or summarise(), the hybrid system +first assert that it can entirely evaluate the expression independently with native code, +if it can it does.

+
iris %>% 
+  group_by(Species) %>% 
+  summarise(Petal.Length = mean(Petal.Length))
+#> # A tibble: 3 x 2
+#>   Species    Petal.Length
+#>   <fct>             <dbl>
+#> 1 setosa             1.46
+#> 2 versicolor         4.26
+#> 3 virginica          5.55
+

The expression mean(Petal.Length) is handled by native code because there is an hybrid +internal version of mean, and its first argument is a column of the data, and the type of +that column can be treated by the internal function.

+

If the expression can not be evaluated completely, it gets evaluated using R standard +evaluation rules in a special environment that makes the columns available (the data mask).

+
iris %>% 
+  group_by(Species) %>% 
+  summarise(Petal.Length = sum(Petal.Length) / n())
+#> # A tibble: 3 x 2
+#>   Species    Petal.Length
+#>   <fct>             <dbl>
+#> 1 setosa             1.46
+#> 2 versicolor         4.26
+#> 3 virginica          5.55
+

The expression sum(Petal.Length) / n() is not recognized, so evaluation goes through the +standard path. For each group, the subset of Petal.Length is extracted, then the R function sum +is called on it and this is divided by the result of calling the n() function from dplyr.

+

Previous versions of dplyr attempted to partially evaluate sum(Petal.Length) / n() with the +hybrid evaluator, because sum(Petal.Length) and n() can both independently be handled. This was +making it hard to obey R semantics because R is too flexible.

+
+
+

nest_by, nest_join

+

TODO

+
+
+

colwise verbs

+

TODO

+
From fddc8ff88455ef303b5e00912fbe2eb448167c88 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Thu, 25 Oct 2018 12:11:56 +0200 Subject: [PATCH 02/32] some progress --- ...18-10-23-dplyr-0-8-0-release-candidate.Rmd | 176 -------- ...8-10-23-dplyr-0-8-0-release-candidate.html | 170 -------- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 285 +++++++++++++ ...-10-dplyr-0-8-0-release-candidate.markdown | 399 ++++++++++++++++++ .../dplyr-0-8-0-release-candidate-sq.jpg | Bin 0 -> 391938 bytes .../dplyr-0-8-0-release-candidate-wd.jpg | Bin 0 -> 524068 bytes 6 files changed, 684 insertions(+), 346 deletions(-) delete mode 100644 content/articles/2018-10-23-dplyr-0-8-0-release-candidate.Rmd delete mode 100644 content/articles/2018-10-23-dplyr-0-8-0-release-candidate.html create mode 100644 content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown create mode 100644 content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown create mode 100644 content/articles/dplyr-0-8-0-release-candidate-sq.jpg create mode 100644 content/articles/dplyr-0-8-0-release-candidate-wd.jpg diff --git a/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.Rmd b/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.Rmd deleted file mode 100644 index 877b0586f..000000000 --- a/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.Rmd +++ /dev/null @@ -1,176 +0,0 @@ ---- -title: dplyr 0.8.0 release candidate -author: Romain François -date: '2018-10-23' -slug: dplyr-0-8-0-release-candidate -description: > - dplyr 0.8.0 release candidate -categories: - - package -tags: - - dplyr - - tidyverse ---- - -```{r, echo = FALSE, message = FALSE} -knitr::opts_chunk$set(collapse = T, comment = "#>") -options(tibble.print_min = 4L, tibble.print_max = 4L) -library(dplyr) -``` - -# Tidy grouping structure - -Previous versions of `dplyr` used a messy set of attributes in grouped -tibbles to keep track of the groups and their indices. This has been -re-organized into a tibble that can be accessed with the new -`group_data()` function. - -```{r} -iris %>% - group_by(Species) %>% - group_data() -``` - -The first columns of that tibble describe the groups in terms of the -grouping variables, and the last column (always called `.rows`) -is a list of integer vectors identifying the (one-based) indices of -each group. - -The related function `group_rows()` gives just that last column. - -```{r} -iris %>% - group_by(Species) %>% - group_rows() -``` - -# New grouping algorithm - -The algorithm behind `group_by()` has been redesigned to better respect factors. -In previous versions of `dplyr` groups were created to only match the observed data, -which was potentially losing groups when factors are involved. - -The new algorithm respects the levels of the factors that are involved in the -grouping, by creating groups even if there is no data in that group. - -```{r} -df <- tibble( - x = c(1,1,2,2), - f = factor(c("a", "b", "a", "b"), levels = c("a", "b", "c")) -) -df %>% - group_by(f) %>% - group_data() -``` - -Where previous versions of `dplyr` would have created only two groups (for levels `a` and `b`), -it now creates one group per level, and the group related to the level `c` just happens to be -empty. - -Groups are still made to match the data on other variables: - -```{r} -df %>% - group_by(x) %>% - group_data() -``` - -Consider this tibble using a mix of factors and non factors - -```{r} -df <- tibble( - f1 = factor(c("a", "a", "a", "b", "b"), levels = c("a", "b", "c")), - f2 = factor(c("d", "e", "d", "e", "f"), levels = c("d", "e", "f")), - x = c(1, 1, 1, 2, 2), - y = 1:5 -) -``` - -If we group by the factors `f1` and `f2`, we get 9 groups - -``` -# 9 groups : 3 x 3 -df %>% - group_by(f1, f2) %>% - group_data() -``` - -When factors and non factors are involved in the grouping, the number of -groups depends on the order. At each level of grouping, factors are always expanded -to one group per level, but non factors only create groups based on observed data. - -``` -# 3 groups -df %>% - group_by(f1, x) %>% - group_data() -``` - -In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates -two groups. Each of these grouops is then subdivided based on the values of the second -variable `x`. Since `x` is always 1 when `f1` is `a` the group is not -further divided. - -The last group, associated with the level `c` of the factor `f1` is empty, and -consequently has no values for the vector `x`. In that case, `group_by()` uses -`NA`. - -``` -# 6 groups -df %>% - group_by(x, f1) %>% - group_data() -``` - -When we group by `x` then `f1` we initially split the data according to `x` which -gives 2 groups. Each of these two groups is then further divided in 3 groups, -i.e. one for each level of `f1`. - -# Performance - -TODO: - - unwind protect - -# Less surprising hybrid evaluation - -Hybrid evaluation has been entirely redesigned to be more predictable -and less surprising. - -When we evaluate an expression in `mutate()` or `summarise()`, the hybrid system -first assert that it can entirely evaluate the expression independently with native code, -if it can it does. - -```{r} -iris %>% - group_by(Species) %>% - summarise(Petal.Length = mean(Petal.Length)) -``` - -The expression `mean(Petal.Length)` is handled by native code because there is an hybrid -internal version of `mean`, and its first argument is a column of the data, and the type of -that column can be treated by the internal function. - -If the expression can not be evaluated completely, it gets evaluated using R standard -evaluation rules in a special environment that makes the columns available (the data mask). - -```{r} -iris %>% - group_by(Species) %>% - summarise(Petal.Length = sum(Petal.Length) / n()) -``` - -The expression `sum(Petal.Length) / n()` is not recognized, so evaluation goes through the -standard path. For each group, the subset of `Petal.Length` is extracted, then the R function `sum` -is called on it and this is divided by the result of calling the `n()` function from `dplyr`. - -Previous versions of `dplyr` attempted to partially evaluate `sum(Petal.Length) / n()` with the -hybrid evaluator, because `sum(Petal.Length)` and `n()` can both independently be handled. This was -making it hard to obey R semantics because R is too flexible. - -# nest_by, nest_join - -TODO - -# colwise verbs - -TODO diff --git a/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.html b/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.html deleted file mode 100644 index d57293dcb..000000000 --- a/content/articles/2018-10-23-dplyr-0-8-0-release-candidate.html +++ /dev/null @@ -1,170 +0,0 @@ ---- -title: dplyr 0.8.0 release candidate -author: Romain François -date: '2018-10-23' -slug: dplyr-0-8-0-release-candidate -description: > - dplyr 0.8.0 release candidate -categories: - - package -tags: - - dplyr - - tidyverse ---- - - - -
-

Tidy grouping structure

-

Previous versions of dplyr used a messy set of attributes in grouped -tibbles to keep track of the groups and their indices. This has been -re-organized into a tibble that can be accessed with the new -group_data() function.

-
iris %>% 
-  group_by(Species) %>% 
-  group_data()
-#> # A tibble: 3 x 2
-#>   Species    .rows     
-#>   <fct>      <list>    
-#> 1 setosa     <int [50]>
-#> 2 versicolor <int [50]>
-#> 3 virginica  <int [50]>
-

The first columns of that tibble describe the groups in terms of the -grouping variables, and the last column (always called .rows) -is a list of integer vectors identifying the (one-based) indices of -each group.

-

The related function group_rows() gives just that last column.

-
iris %>% 
-  group_by(Species) %>% 
-  group_rows()
-#> [[1]]
-#>  [1]  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
-#> [24] 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46
-#> [47] 47 48 49 50
-#> 
-#> [[2]]
-#>  [1]  51  52  53  54  55  56  57  58  59  60  61  62  63  64  65  66  67
-#> [18]  68  69  70  71  72  73  74  75  76  77  78  79  80  81  82  83  84
-#> [35]  85  86  87  88  89  90  91  92  93  94  95  96  97  98  99 100
-#> 
-#> [[3]]
-#>  [1] 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117
-#> [18] 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134
-#> [35] 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150
-
-
-

New grouping algorithm

-

The algorithm behind group_by() has been redesigned to better respect factors. -In previous versions of dplyr groups were created to only match the observed data, -which was potentially losing groups when factors are involved.

-

The new algorithm respects the levels of the factors that are involved in the -grouping, by creating groups even if there is no data in that group.

-
df <- tibble(
-  x = c(1,1,2,2), 
-  f = factor(c("a", "b", "a", "b"), levels = c("a", "b", "c"))
-)
-df %>% 
-  group_by(f) %>% 
-  group_data()
-#> # A tibble: 3 x 2
-#>   f     .rows    
-#>   <fct> <list>   
-#> 1 a     <int [2]>
-#> 2 b     <int [2]>
-#> 3 c     <int [0]>
-

Where previous versions of dplyr would have created only two groups (for levels a and b), -it now creates one group per level, and the group related to the level c just happens to be -empty.

-

Groups are still made to match the data on other variables:

-
df %>% 
-  group_by(x) %>% 
-  group_data()
-#> # A tibble: 2 x 2
-#>       x .rows    
-#>   <dbl> <list>   
-#> 1     1 <int [2]>
-#> 2     2 <int [2]>
-

Consider this tibble using a mix of factors and non factors

-
df <- tibble(
-  f1 = factor(c("a", "a", "a", "b", "b"), levels = c("a", "b", "c")), 
-  f2 = factor(c("d", "e", "d", "e", "f"), levels = c("d", "e", "f")), 
-  x  = c(1, 1, 1, 2, 2), 
-  y  = 1:5
-)
-

If we group by the factors f1 and f2, we get 9 groups

-
# 9 groups : 3 x 3
-df %>% 
-  group_by(f1, f2) %>% 
-  group_data()
-

When factors and non factors are involved in the grouping, the number of -groups depends on the order. At each level of grouping, factors are always expanded -to one group per level, but non factors only create groups based on observed data.

-
# 3 groups
-df %>% 
-  group_by(f1, x) %>% 
-  group_data()
-

In this example, we group by f1 then x. At the first layer, grouping on f1 creates -two groups. Each of these grouops is then subdivided based on the values of the second -variable x. Since x is always 1 when f1 is a the group is not -further divided.

-

The last group, associated with the level c of the factor f1 is empty, and -consequently has no values for the vector x. In that case, group_by() uses -NA.

-
# 6 groups
-df %>% 
-  group_by(x, f1) %>% 
-  group_data()
-

When we group by x then f1 we initially split the data according to x which -gives 2 groups. Each of these two groups is then further divided in 3 groups, -i.e. one for each level of f1.

-
-
-

Performance

-

TODO: -- unwind protect

-
-
-

Less surprising hybrid evaluation

-

Hybrid evaluation has been entirely redesigned to be more predictable -and less surprising.

-

When we evaluate an expression in mutate() or summarise(), the hybrid system -first assert that it can entirely evaluate the expression independently with native code, -if it can it does.

-
iris %>% 
-  group_by(Species) %>% 
-  summarise(Petal.Length = mean(Petal.Length))
-#> # A tibble: 3 x 2
-#>   Species    Petal.Length
-#>   <fct>             <dbl>
-#> 1 setosa             1.46
-#> 2 versicolor         4.26
-#> 3 virginica          5.55
-

The expression mean(Petal.Length) is handled by native code because there is an hybrid -internal version of mean, and its first argument is a column of the data, and the type of -that column can be treated by the internal function.

-

If the expression can not be evaluated completely, it gets evaluated using R standard -evaluation rules in a special environment that makes the columns available (the data mask).

-
iris %>% 
-  group_by(Species) %>% 
-  summarise(Petal.Length = sum(Petal.Length) / n())
-#> # A tibble: 3 x 2
-#>   Species    Petal.Length
-#>   <fct>             <dbl>
-#> 1 setosa             1.46
-#> 2 versicolor         4.26
-#> 3 virginica          5.55
-

The expression sum(Petal.Length) / n() is not recognized, so evaluation goes through the -standard path. For each group, the subset of Petal.Length is extracted, then the R function sum -is called on it and this is divided by the result of calling the n() function from dplyr.

-

Previous versions of dplyr attempted to partially evaluate sum(Petal.Length) / n() with the -hybrid evaluator, because sum(Petal.Length) and n() can both independently be handled. This was -making it hard to obey R semantics because R is too flexible.

-
-
-

nest_by, nest_join

-

TODO

-
-
-

colwise verbs

-

TODO

-
diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown new file mode 100644 index 000000000..447a6a89e --- /dev/null +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -0,0 +1,285 @@ +--- +title: dplyr 0.8.0 release candidate +author: Romain François +date: '2018-10-23' +slug: dplyr-0-8-0-release-candidate +description: > + What you need to know about upcoming changes for dplyr 0.8.0. +categories: + - package +tags: + - dplyr + - tidyverse +photo: + url: https://unsplash.com/photos/kU-WKSyTcp4 + author: Pau Casals +--- + +```{r setup, echo = FALSE, message = FALSE} +knitr::opts_chunk$set(collapse = T, comment = "#>") +options(tibble.print_min = 4L, tibble.print_max = 4L) +library(dplyr) +``` + +A new release of dplyr (0.8.0) is on the horizon, and since it is a major release, we'd love for the +community to try it out, give us some feedback and [report issues](https://github.com/tidyverse/dplyr/issues) +before we submit to CRAN. This version represents about six months of development, making dplyr more +respectful of factors and less surprising in its evaluation of expression. In this post, we'll highlight +the major changes, please see the [NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more +detailed description of changes. + +Our formalised process for this release is captured in [this issue](https://github.com/tidyverse/dplyr/issues/3931) + +```{r, eval = FALSE} +# install.packages("devtools") +devtools::install_github("tidyverse/dplyr") +``` + +If needed, you can restore the release version by installing from CRAN: + +```{r, eval = FALSE} +install.packages("dplyr") +``` + +# New grouping algorithm + +## Group creation + +The algorithm behind `group_by()` has been redesigned to better respect factor levels, +a group is created for each level of the factor, even if there is no data. This +differs from previous versions of dplyr where groups were only created to +match the observed data. + +Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) +function: + +```{r} +df <- tibble( + f1 = factor(c("a", "a", "a", "b", "b"), levels = c("a", "b", "c")), + f2 = factor(c("d", "e", "d", "e", "f"), levels = c("d", "e", "f")), + x = c(1, 1, 1, 2, 2), + y = 1:5 +) +df %>% + count(f1) +``` + +Where previous versions of `dplyr` would have created only two groups (for levels `a` and `b`), +it now creates one group per level, and the group related to the level `c` just happens to be +empty. + +Groups are still made to match the data on other types of columns: + +```{r} +df %>% + count(x) +``` + +Expansion of groups for factors happens at each step of the grouping, so if we group +by `f1` and `f2` we get 9 groups, + +```{r} +df %>% + count(f1, f2) +``` + +When factors and non factors are involved in the grouping, the number of +groups depends on the order. At each level of grouping, factors are always expanded +to one group per level, but non factors only create groups based on observed data. + +``` +df %>% + count(f1, x) +``` + +In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates +two groups. Each of these grouops is then subdivided based on the values of the second +variable `x`. Since `x` is always 1 when `f1` is `a` the group is not +further divided. + +The last group, associated with the level `c` of the factor `f1` is empty, and +consequently has no values for the vector `x`. In that case, `group_by()` uses +`NA`. + +``` +df %>% + count(x, f1) +``` + +When we group by `x` then `f1` we initially split the data according to `x` which +gives 2 groups. Each of these two groups is then further divided in 3 groups, +i.e. one for each level of `f1`. + +## Group preservation + +The grouping structure is more coherently preserved by dplyr verbs, and the notion of +lazy grouped data frame is now obsolete. We needed lazily grouped data frames +in previous versions because the verbs did not reconstruct the groups. + +```{r} +df %>% + group_by(x, f1) %>% + summarise(y = mean(y)) +``` + +In particular the result of `filter()` preserves the grouping structure of the input +data frame. + +```{r} +df %>% + group_by(x, f1) %>% + filter(y < 4) +``` + +The resulting tibble after the `filter()` call has six groups, the same +exact groups that were made by `group_by()`. Previous versions of dplyr +would perform an implicit `group_by()` after the filtering, potentially losing +groups. + +Because this is potentially disruptive, `filter()` has gained a `.preserve` argument, +the default value (`TRUE`) keeps the existing groups, but +when `.preserve` is `FALSE` the data is first filtered and then grouped by: + +```{r} +df %>% + group_by(x, f1) %>% + filter(y < 4, .preserve = FALSE) +``` + +# Changes in filter and slice + +Besides changes described previously related to preservation of the grouping structure, +`filter()` and `slice()` now reorganize the data by groups for performance reasons: + +```{r} +tibble( + x = c(1, 2, 1, 2, 1), + y = c(1, 2, 3, 4, 5) +) %>% + group_by(x) %>% + filter(y < 5) +``` + +# Redesigned hybrid evaluation + +## What's hybrid evaluation again ? + +Hybrid evaluation is used in `summarise()` and `mutate()` to replace +potential expensive R operations by native C++ code that is group aware. + +```{r} +iris %>% + group_by(Species) %>% + summarise(Petal.Length = mean(Petal.Length)) +``` + +In the example, the `base::mean()` function is never called because the +hybrid alternative can directly calculate the mean for each group. Hybrid +evaluation typically gives better performance because it needs less memory +allocations. + +In this example, a standard evaluation path would need to: + - create subsets of the `Petal.Length` column for each group + - call the `base::mean()` function on each subset, which would also + imply a cost for S3 dispatching to the right method + - collect all results in a new vector + +In constrast, hybrid evaluation can directly allocate the final +vector, and calculate all 3 means without having to allocate the subsets. + +## Flaws in previous hybrid + +Previous versions of hybrid evaluation relied on folding to +replace part of the expression by their hybrid result. For example, +there are hybrid versions of `sum()` and `n()`, so previous +versions attempted to use them for: + +```{r} +iris %>% + group_by(Species) %>% + summarise(Petal.Length = sum(Petal.Length) / n()) +``` + +The gain of replacing parts of the expression with the result of the +hybrid versions was minimal, and the we had to rely on many +ad-hoc to try to respect standard R evaluation semantics. + +## New implementation + +The new hybrid system is less greedy and falls back to standard R evaluation +when the expression is not entirely recognized. + +The `hybrid_call()` function (subject to change) can be used to test if an expression +would be handled by hybrid or standard evaluation: + +```{r} +iris %>% hybrid_call(mean(Sepal.Length)) +iris %>% hybrid_call(sum(Sepal.Length) / n()) +iris %>% hybrid_call(+mean(Sepal.Length)) +``` + +Hybrid is very picky about what it can handle, for example `TRUE` and `FALSE` +are fine for `na.rm=` because they are reserved words that can't be replaced, but +`T`, `F` or any expression that would resolve to a scalar logical are not: + +```{r} +iris %>% hybrid_call(mean(Sepal.Length, na.rm = TRUE)) +iris %>% hybrid_call(mean(Sepal.Length, na.rm = T)) +iris %>% hybrid_call(mean(Sepal.Length, na.rm = 1 == 1)) +``` + +The first step of the new hybrid system consists of studying the +expression and compare it to known expression patterns. If we find an exact +match, then we have all the information we need, and R is never called +to materialize the result. + +When there is no match, the expression gets evaluated for each group using R standard +evaluation rules in the data mask: a special environment that makes the columns available +and uses context aware information for functions such as `n()`. + +```{r} +iris %>% + group_by(Species) %>% + summarise(Petal.Length = sum(Petal.Length) / n()) +``` + +# Performance + +TODO: + - unwind protect + +# nest_by, nest_join + +TODO + +# colwise verbs + +TODO + +# Tidy grouping structure + +Previous versions of `dplyr` used a messy set of attributes in grouped +tibbles to keep track of the groups and their indices. This has been +re-organized into a tibble that can be accessed with the new +`group_data()` function. + +```{r} +iris %>% + group_by(Species) %>% + group_data() +``` + +The first columns of that tibble describe the groups in terms of the +grouping variables, and the last column (always called `.rows`) +is a list of integer vectors identifying the (one-based) indices of +each group. + +The related function `group_rows()` gives just that last column. + +```{r} +iris %>% + group_by(Species) %>% + group_rows() +``` + + diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown new file mode 100644 index 000000000..33ee1a894 --- /dev/null +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -0,0 +1,399 @@ +--- +title: dplyr 0.8.0 release candidate +author: Romain François +date: '2018-10-23' +slug: dplyr-0-8-0-release-candidate +description: > + What you need to know about upcoming changes for dplyr 0.8.0. +categories: + - package +tags: + - dplyr + - tidyverse +photo: + url: https://unsplash.com/photos/kU-WKSyTcp4 + author: Pau Casals +--- + + + +A new release of dplyr (0.8.0) is on the horizon, and since it is a major release, we'd love for the +community to try it out, give us some feedback and [report issues](https://github.com/tidyverse/dplyr/issues) +before we submit to CRAN. This version represents about six months of development, making dplyr more +respectful of factors and less surprising in its evaluation of expression. In this post, we'll highlight +the major changes, please see the [NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more +detailed description of changes. + +Our formalised process for this release is captured in [this issue](https://github.com/tidyverse/dplyr/issues/3931) + + +```r +# install.packages("devtools") +devtools::install_github("tidyverse/dplyr") +``` + +If needed, you can restore the release version by installing from CRAN: + + +```r +install.packages("dplyr") +``` + +# New grouping algorithm + +## Group creation + +The algorithm behind `group_by()` has been redesigned to better respect factor levels, +a group is created for each level of the factor, even if there is no data. This +differs from previous versions of dplyr where groups were only created to +match the observed data. + +Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) +function: + + +```r +df <- tibble( + f1 = factor(c("a", "a", "a", "b", "b"), levels = c("a", "b", "c")), + f2 = factor(c("d", "e", "d", "e", "f"), levels = c("d", "e", "f")), + x = c(1, 1, 1, 2, 2), + y = 1:5 +) +df %>% + count(f1) +#> # A tibble: 3 x 2 +#> f1 n +#> +#> 1 a 3 +#> 2 b 2 +#> 3 c 0 +``` + +Where previous versions of `dplyr` would have created only two groups (for levels `a` and `b`), +it now creates one group per level, and the group related to the level `c` just happens to be +empty. + +Groups are still made to match the data on other types of columns: + + +```r +df %>% + count(x) +#> # A tibble: 2 x 2 +#> x n +#> +#> 1 1 3 +#> 2 2 2 +``` + +Expansion of groups for factors happens at each step of the grouping, so if we group +by `f1` and `f2` we get 9 groups, + + +```r +df %>% + count(f1, f2) +#> # A tibble: 9 x 3 +#> f1 f2 n +#> +#> 1 a d 2 +#> 2 a e 1 +#> 3 a f 0 +#> 4 b d 0 +#> # ... with 5 more rows +``` + +When factors and non factors are involved in the grouping, the number of +groups depends on the order. At each level of grouping, factors are always expanded +to one group per level, but non factors only create groups based on observed data. + +``` +df %>% + count(f1, x) +``` + +In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates +two groups. Each of these grouops is then subdivided based on the values of the second +variable `x`. Since `x` is always 1 when `f1` is `a` the group is not +further divided. + +The last group, associated with the level `c` of the factor `f1` is empty, and +consequently has no values for the vector `x`. In that case, `group_by()` uses +`NA`. + +``` +df %>% + count(x, f1) +``` + +When we group by `x` then `f1` we initially split the data according to `x` which +gives 2 groups. Each of these two groups is then further divided in 3 groups, +i.e. one for each level of `f1`. + +## Group preservation + +The grouping structure is more coherently preserved by dplyr verbs, and the notion of +lazy grouped data frame is now obsolete. We needed lazily grouped data frames +in previous versions because the verbs did not reconstruct the groups. + + +```r +df %>% + group_by(x, f1) %>% + summarise(y = mean(y)) +#> # A tibble: 6 x 3 +#> # Groups: x [2] +#> x f1 y +#> +#> 1 1 a 2 +#> 2 1 b NaN +#> 3 1 c NaN +#> 4 2 a NaN +#> # ... with 2 more rows +``` + +In particular the result of `filter()` preserves the grouping structure of the input +data frame. + + +```r +df %>% + group_by(x, f1) %>% + filter(y < 4) +#> # A tibble: 3 x 4 +#> # Groups: x, f1 [6] +#> f1 f2 x y +#> +#> 1 a d 1 1 +#> 2 a e 1 2 +#> 3 a d 1 3 +``` + +The resulting tibble after the `filter()` call has six groups, the same +exact groups that were made by `group_by()`. Previous versions of dplyr +would perform an implicit `group_by()` after the filtering, potentially losing +groups. + +Because this is potentially disruptive, `filter()` has gained a `.preserve` argument, +the default value (`TRUE`) keeps the existing groups, but +when `.preserve` is `FALSE` the data is first filtered and then grouped by: + + +```r +df %>% + group_by(x, f1) %>% + filter(y < 4, .preserve = FALSE) +#> # A tibble: 3 x 4 +#> # Groups: x, f1 [3] +#> f1 f2 x y +#> +#> 1 a d 1 1 +#> 2 a e 1 2 +#> 3 a d 1 3 +``` + +# Changes in filter and slice + +Besides changes described previously related to preservation of the grouping structure, +`filter()` and `slice()` now reorganize the data by groups for performance reasons: + + +```r +tibble( + x = c(1, 2, 1, 2, 1), + y = c(1, 2, 3, 4, 5) +) %>% + group_by(x) %>% + filter(y < 5) +#> # A tibble: 4 x 2 +#> # Groups: x [2] +#> x y +#> +#> 1 1 1 +#> 2 1 3 +#> 3 2 2 +#> 4 2 4 +``` + +# Redesigned hybrid evaluation + +## What's hybrid evaluation again ? + +Hybrid evaluation is used in `summarise()` and `mutate()` to replace +potential expensive R operations by native C++ code that is group aware. + + +```r +iris %>% + group_by(Species) %>% + summarise(Petal.Length = mean(Petal.Length)) +#> # A tibble: 3 x 2 +#> Species Petal.Length +#> +#> 1 setosa 1.46 +#> 2 versicolor 4.26 +#> 3 virginica 5.55 +``` + +In the example, the `base::mean()` function is never called because the +hybrid alternative can directly calculate the mean for each group. Hybrid +evaluation typically gives better performance because it needs less memory +allocations. + +In this example, a standard evaluation path would need to: + - create subsets of the `Petal.Length` column for each group + - call the `base::mean()` function on each subset, which would also + imply a cost for S3 dispatching to the right method + - collect all results in a new vector + +In constrast, hybrid evaluation can directly allocate the final +vector, and calculate all 3 means without having to allocate the subsets. + +## Flaws in previous hybrid + +Previous versions of hybrid evaluation relied on folding to +replace part of the expression by their hybrid result. For example, +there are hybrid versions of `sum()` and `n()`, so previous +versions attempted to use them for: + + +```r +iris %>% + group_by(Species) %>% + summarise(Petal.Length = sum(Petal.Length) / n()) +#> # A tibble: 3 x 2 +#> Species Petal.Length +#> +#> 1 setosa 1.46 +#> 2 versicolor 4.26 +#> 3 virginica 5.55 +``` + +The gain of replacing parts of the expression with the result of the +hybrid versions was minimal, and the we had to rely on many +ad-hoc to try to respect standard R evaluation semantics. + +## New implementation + +The new hybrid system is less greedy and falls back to standard R evaluation +when the expression is not entirely recognized. + +The `hybrid_call()` function (subject to change) can be used to test if an expression +would be handled by hybrid or standard evaluation: + + +```r +iris %>% hybrid_call(mean(Sepal.Length)) +#> +#> call : base::mean(Sepal.Length) +#> C++ class : dplyr::hybrid::internal::SimpleDispatchImpl<14, false, dplyr::NaturalDataFrame, dplyr::hybrid::internal::MeanImpl> +iris %>% hybrid_call(sum(Sepal.Length) / n()) +#> +#> call : sum(Sepal.Length)/n() +iris %>% hybrid_call(+mean(Sepal.Length)) +#> +#> call : +mean(Sepal.Length) +``` + +Hybrid is very picky about what it can handle, for example `TRUE` and `FALSE` +are fine for `na.rm=` because they are reserved words that can't be replaced, but +`T`, `F` or any expression that would resolve to a scalar logical are not: + + +```r +iris %>% hybrid_call(mean(Sepal.Length, na.rm = TRUE)) +#> +#> call : base::mean(Sepal.Length, na.rm = TRUE) +#> C++ class : dplyr::hybrid::internal::SimpleDispatchImpl<14, true, dplyr::NaturalDataFrame, dplyr::hybrid::internal::MeanImpl> +iris %>% hybrid_call(mean(Sepal.Length, na.rm = T)) +#> +#> call : mean(Sepal.Length, na.rm = T) +iris %>% hybrid_call(mean(Sepal.Length, na.rm = 1 == 1)) +#> +#> call : mean(Sepal.Length, na.rm = 1 == 1) +``` + +The first step of the new hybrid system consists of studying the +expression and compare it to known expression patterns. If we find an exact +match, then we have all the information we need, and R is never called +to materialize the result. + +When there is no match, the expression gets evaluated for each group using R standard +evaluation rules in the data mask: a special environment that makes the columns available +and uses context aware information for functions such as `n()`. + + +```r +iris %>% + group_by(Species) %>% + summarise(Petal.Length = sum(Petal.Length) / n()) +#> # A tibble: 3 x 2 +#> Species Petal.Length +#> +#> 1 setosa 1.46 +#> 2 versicolor 4.26 +#> 3 virginica 5.55 +``` + +# Performance + +TODO: + - unwind protect + +# nest_by, nest_join + +TODO + +# colwise verbs + +TODO + +# Tidy grouping structure + +Previous versions of `dplyr` used a messy set of attributes in grouped +tibbles to keep track of the groups and their indices. This has been +re-organized into a tibble that can be accessed with the new +`group_data()` function. + + +```r +iris %>% + group_by(Species) %>% + group_data() +#> # A tibble: 3 x 2 +#> Species .rows +#> +#> 1 setosa +#> 2 versicolor +#> 3 virginica +``` + +The first columns of that tibble describe the groups in terms of the +grouping variables, and the last column (always called `.rows`) +is a list of integer vectors identifying the (one-based) indices of +each group. + +The related function `group_rows()` gives just that last column. + + +```r +iris %>% + group_by(Species) %>% + group_rows() +#> [[1]] +#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 +#> [24] 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 +#> [47] 47 48 49 50 +#> +#> [[2]] +#> [1] 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 +#> [18] 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 +#> [35] 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 +#> +#> [[3]] +#> [1] 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 +#> [18] 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 +#> [35] 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 +``` + + diff --git a/content/articles/dplyr-0-8-0-release-candidate-sq.jpg b/content/articles/dplyr-0-8-0-release-candidate-sq.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b63ee7f2845f21ab062df8d9056d154d2f099128 GIT binary patch literal 391938 zcmeFYXH-*L+b+C969{bSML;Q`6MB^@O)w%@C?SCKA|x~^*?<%!Qlte4O%SB16sZYS z>Ai~xA#@0eBq+FHvk^Ev&w0;z$2h;v_|DJonQM%dJ8R9du6rbNUDrMDc|L!>3b5TW zH8%x7AOJACIDqptAiyNt#}fc7EC3k*02l!}5CcGaVSxaeixbCx*%u8!QvZGZxeq}1 z?>YdWcku}Tw8fzRu31d;zwXjLE2jN#`(G8$*O)}SA3qMbuAqPlmUnUYclD5W^G7O# zy96jG$tx-VI{M)OE^fXakA+=5ynIl)qI>NhMTLFbbwzE}EEFvQj6A%3%>E4Wxc}#! z2X24*x@ozK>gx&XgkKLw1|U5iy9kFP{ZPTz!*xaf-TCzk`(Kw8M1}ud<*~1>sGWtC zu#ta|hp?Kws=T7;Me87U&+GS$P5-Oy#W!8i|9Z%B6?y+4F9jtnEiDB_Wd&tr z=tT`^FdFsPB^-(h7W-d47<&Y}1^EO#_VGsv|EotASO1X5x}u^A7b7VA*AV|Q|M#=% z3IC`3#{>WIz<)gO9}oP;1OM^B|NlJj-)zSNbwP2$F1QSEP60Hny!{{h2YdSm2&>2| z0-A>A7Ign2To>ivw)nqIwppPU3u!Q`n_J}Vuitil?jQX6>+tCBwbsf5RPO!Yb`6?l=7FfLiU0f;w0|S}zXKNc{|VXu2KL{$76GFRe*XVf&M!Lof9v6* z_4(2Ta}PWx0xYx_T7aFF9nc5PBnr1|t+SE&BfiljQfJLT>Gs2%6GgiWD|E(cjQUyb zNR0Z#Hx6w+^Olez{@V=&h|$;U+Q|C!sik@mfn?4&s6g_EykaJ3f7=aT!62DLoN;hney!eNOql<|AzpC~$Z)6c zDi^*H*n+-H0fz9*(@q2Uf#dH^1`E{&?4 z3CZ+()t34Sj>{VE(3?g}b)1ML5v&i8%*ydRp0kWn@+XVkG}I^`FK) z+U_`S*Le6NGC+)R9_o*)!P5$$= zf&Vw*6(#-m6k6-x{RgxCV^iP_glF!@d!hv98YJ1(GXp!p|8aIGopO*Ns_V49<#ZCx z1)Su0alp7gfBrpm6o<(33Xj#egNFtR-p*YTimOtqvwAZ3u0M=24wy|FL(e85$t++& zo1d2Sq@FdGs1Jd0yoTed=YUU+>pN;x+6#(k4BIh{1~EteVAwZAXk;(N$nvcA5GvYQz~WbkH=4|hM@zbs)LVfP?0MrI;rvyKGR zujuf~rJIDvEOyJ3K@(Usc=f-(rz(i||9bSQ|Ba6M8wKqW!6YEqbgVl5FK}920eX+h z`>dCBlzAx<-#)U>83+j;0_D=cx-e!gv+`H8Bl5;KqrG6-xlUY+aHn-Rjf?eEy&UjI z-oRg~Ap5o3!?MKF3MooLs)@(tEiorFFvO_MRViFgEBLDzoQ!r8qP$DUuD}zTn{j3+ zE=xbG{TWrDJCqny_YV0ZF|=X;IY#*jNjO3P_SS=LslY)GhIrr=p ztdXyKH(EnI^A@m~F|i81!}?d#qKIAo-2RTOdF4H^2K+g2pDjE3%cV0G&USndJz(#f z>-;$7s&%q^X#KL#b#|_*z>o;GQ~^>!Zp{n%1~7bs*M#38plgbrua+)w$uDVP8Ip)J z{yDMM7Z$BM{(|v_;j4a@gvE&XGhuLwV9=6UyD+w`89z_gM6IHM#`Fu-i9fw88w}&_?*^&c5d;U&{L7(5?5w zk6$c&lvUujEjcuRrMbP){ z9f2?gW|A~WP@LyL|+l?4gu+?qT5;V?gxW5H9jjtKRxu4mRJMI}!#CXE?b4a5lezCj00 zqT;lDw$1^#KMRKwKkA7?yAI9FIygGd^q?yKIP+DW1z?>~ z-H@>CnIs!4_px2T`l}3JCt~Ax?199qjP6AXGc$9V<9!)DKYByLlXY%TS5w#5 zO=g+40+#99OixL5F_u{<-&$!yDpLqD(HJr}M5q4)^IN4**J~b^UQ2UwCmGRJ#iT`kMM6&;#E>&+5 z+FX}57LPJJ`Gh=Cc(<7ZRJXmr^f~a0rA$}!G##de1U@nOPTz{h4IIJ}hTL5?Woh^= zP49K_QufNS#<{mTte8A48ysbU_fg_4MQSN9Dep~u2;Sl&I`1xw$Eu5aE10hFwn&@2 zIaZ+Rxy|fq%H6Uy#HhzPkXGgU_cW==Y}hYpyhR3E%z4^O)K{naRvgeg3Lbg$vt|ry zd6-MIZR`jPR!!-#M{w-^DeFcCO3})XG=AD2Pgol{wk$@dm6tkZ+q8#oCy{Rwnv|vT z)kQ?)>2l>t3{+ik+?eT1tIW~v51oXUle$ZNVYVMV&102T#Q1rsh}eVBOVX2F{&L%^X9h zjdo@5sM)$!3+(2}71|gA|A6^W@ue2@P!_CWvDRU z?sDbG(wF(b`@{CYCpq}TPZlBceMNo&m<+20OR^Jj$7=j=e?Dy+>kf!U?v5z(0XGQ= zw{qAWEOat!R`SIywDKk6{*g8Aj5p$c(nEbyWOnUQs5K}zrkJ&(&F6|{^}2OaqGVHZ z;`2T72lZ~__74XL+_7;?14qE+M*w>Eo<)X({b_}1+_c1V_en?`>!KH|C2PefB)Gog z`$H-7ef9g#i@`jfYBmsUbY?i46lyc0IO7{st~s-|=X_i|dr?8PztkVx6bssqc`x5)v<-$4a_|5^iX>Y_fMW52@HuuN%gk zH1LR|-S&);xs$@u*yzYKjS@>$;q1|wW&id?$s#NO|H`W?TKOq?js8Im{vu-hncTJvC<-y&Vy94p zqS9~e)(wa{<6nI^QFnR#42}C4-8Zf*;CkqX;B9u)NqCV zX-Nf*K8Gm>)cpYM+~M0nOJH;{3A zpXPt%I#1EJykDO4O~zrto~d?{b|@sp=^p#^jMP<1Y2w1KBUrXE{R?U}Xov*LaeLbf zYQTKnb19OIc)qVwNd4plCa1!Q#%>k%Bh}SdqJPR$>3dyoo#`d!)GkDGTbP|Vd`=+2 z6OSD@2sR+t_~|W=vcbIV_ob5=KTnr2^M?Vxy6ZZDvH~reiHa^M&vJrBRdq#VPg+n4 ze$ml~vhf@Uho5zdq%Lmp*5(!(+XMM9fv>x}wXgH~Mg?R_opg&EMc{?juo%9E7;|Sq z8bn^{(|ZTYd{@cmz)&;RKOYf|7awqi;{r$x;37`6~#~zl78ch3t2TGq&z5<)3fR$H>~>=715H$MDm`t(8d(pKR~rbn6}a zn+fPiuanK@OA(F%CArK%CEX(yfAu1~)$;N5aqNdr%FPY^x|FZ`)kFc`6nWU7T}`#l zT;V?8%KU}~-Jp>lD;i;|o<4>hQtvo|yvtK(gN~1iB}4x{8>w_f%zOXf-KO%({qh(UNS^ajFf?VUzkgk}4ri-u zKgj*}fjb6KFu%s6mRZeA{Fp8f^nMI(0qCGJolLK>`UZ46=6~D35&wS4&>U0o-FJPS z2B~QQ(utU&dlIz^ey3y}0*)y7Sa(}KPq-D|wn9cPK4f`HF&ZV=p6Q(VJtN1+JMvqX zJ|OJZuBABbEPq>PRaLoMUzib7^G6x<9GH5MyRY;9*BRS!6UbDA?#HE1#z!i3%_qh^ z0>i?IwdqExhBqSbA~S?kkD7-*ar6794Be~k;=xXUt86&?pmMA8gwWUx6T9NV+7NKz zosARA-7PA=0NGK_y)>ko3-o}iowqR#UV%l=gea?x&Fuxd&nMlD+A^(vH_-Q{uY|A9 zj)4f`>p+NzuQs0C?+<9;%GVTIp6>s%@!_|l^0SE|ziL92YV{lvT;1iTJx??F@*oPc z!z526!iMbzgK!F{26H4{C79*CP?BTokoj_;-*!A?icW*QI#vB!oTZ#O?dAF%4!(S* zt>?o&!bSoObo?&ElUiMJp!2CSG5URlY@OQ`J0>lTbvK07>u+8oy1A%a7Ljy2G7ZzX z@$z>uI}=NcT*QHS4 zvW#zU^ru&Q`m-YvoyltYIyvV+o0Z40Hwd#!$==NKg2C+OKDlRtTPP^`pStg~Z$=0; zJh~Yh7{q1pr@p=-UD!Pm30~9ZURHm$3y1MXXE1#Iz5Rlf@Q0R30RM9lJ7(Y`xUCwV zGNUR$GTdpGE;=&d8l>)Drd?h5;qSt{9hwqy-%F}-fN z?PUJQ^BlOvQGJ;|?I^bA_eInJKI0asq}&C8yAcxemq4)}zC-XhIe{<%)a>eE@URs) zh@|_9xY^vsGxwRxUs7}q`C%4ERYCjiU zCYvP4@zPV~8*dUg1`qn4IDR{jST(m|s)ZE(i>xL>7v$6CE4&3Ll_LVBm{somIf;k4 z41nTh;8Bc1uYQ)lfA!{FXlEHgL&KH@oCXaOZ?msoO19RX+wl75-o6HHK2Q~OU>@kh zJw8He^&ZQ-$=yB)89&@p62UR}YGA$x?a7waHIZ5uT2O%59{w%jS=#Qw@RkEi$wvKf zMbEQI`epyV{vN0F{)gb^H#Fkr6s)(GZ>8n+bt#FI!qOJR(L6?jx7*)%KQh0*-TTSx zIRM4m(G}A;8ap^0D_d;sp>>AXw>$B15n6hqf}uGze5qtny*(V2k)Qv&0XHnBq!d2e z&2rBIMF>Kmp-jZrCfN`AV38j+?spAp#|Y`fFHW?#8LOxFLwpY3+N}GUot>zxxhYlt z#H%Yfj!vx7<4!0HX2Q6;D6(snuNRAk1@|_!BmuIil`4ff2qt)2z6y8pro9nI8o29q zqGO>gCJP?o@qt_jdr&@Kp-bKK&Q_Oz!k;rSa*hrT9Z11+QpHKZJ(O5WK9TW;;~W`= zzCWHe`LGDudz3uF10aD)xrDVjV#H=E+C3Y`Ut;#m;6h^E-lij&g%;Btr}V_FJf`Wh zGOg!lOkr2VWfJ#dsI?`3c?jy=<8~Cp>K}%A7AG1tr zzaDyL#s#ELsv027IUR<5y##B*bj!Qx22X}HL~kbkZcW4eR)XspVNSZ}duXOLvQa4c zlB9@Ou90yc^~fsk=?7$Uu>^kg$T3c`zVtZ2Zg~X~n|{1IH86T8g?h5!UFowZCF#m= zY<>?wFFs@j82h@Ql-};wp8oBdnf>?uIKpGY`w;xyFjU~bge)1EXK#(!Uqfq1hQx2hDp;TAD0x_uck%|s2e=K+PucLj%Fzq-LBdyqn3`N2%4*v?p6V2@J#*DB7;~;76d8;I4!-0Ac~Q8#o1E=ci!t*+ zMP80nl&5hD9=fd+3PMI)s8bWQ&m~FhbZMNXZcT}hIDrT|_otFsoL)S6CQ-)Yyk-;~`fJk&HG!AU}?HSsi*5m`P_cz;6@kkZLRJ8Y7a= z^o--qSE0wp@$D-5xNl)H)CgbF0h-YYUMoUJ&kq3^aP&S-M-0^SLJck!jNw9tm(ttR!x>iwv~!0^7bx5)VHp{NmE@blYFdR@7!)?1@_+Oe=-f- z{qhAcXj~NN7E=vyptgjUCh*97pV&GM9EPxH(%WLC)(F}5K4de|bO$25U-e*8{Cxq> zEB;r0%06tPCk@?^pVKLF0vMoDbm-G*I$ZU#T4}#{eS1csJ7(4Fin_+?X{GZ@{f(%X zKcr|5mac!R(osg%*|>!GZ{H!C#$Q>rxPDXU zq0wX%u+NYmA^k^&P+vx?`V)JVV}qI@6X+DD0rw1icA#-SD$C5G4aU0E|Gh7Vbra@S z;eIu|HI0n!5}ihSI(WuN4@tC+cMLF!G;d87;oN z5}6lgC{TSVQ!kd+I5XC;kejG&46^g)T3al0NDJMgcj2 z)iVYnI5LBG<+BSVXtT73q$VUTAI~c{pftaZ+@WRd;*|5WK_EgpKJBR|Y&1sOQyI1bvBT^OF zL@X{;7#oqUs5R^uckUgyqJO{7e{YF=s!W zY$ef@J&h=wJ|qUeLt1h{7Eo@epXUCA{6+ z+Oh6#!YjiV12hliRVey)Th21|0ow9wv&Jxhp%| zvRM{N=e@yQ{GsR`a|uH@sgrnf>D<{W10IKTCOLq`EB!%+K*h|u;} zX7rsj)$wg;*>_06^Q_3U>l$!gO;Tz#lg)jDD z7YnctviL>M#x_0P-~y>2w68UgPU}&dspKV=yEpt&7j@drd3X2q*3@dn^RhAyC;o6? zH{dGT(#doFESAwxg)UI!@z$B6$63k9zm-#}Q{h3fpx0JW|aBRt=Y_LdG| zM&)07wRK8f4%dk%0^dzj`71vp+I%bEsQxp)pIDwHIVp1#?P_~+yD!>{d%sn5_UAsk z0h3#3lDuo2)Ltzr^4lI2f`(jg7%lu+7R*JOYZn+s7?=?QQ_803IF>&yY+^U=EP;v8 znwmA66OU>pq%;1IAbI*g9p%-+D}H#VLfUBC?HSO_X`xmfx+Zs3+sdVI8y1$zA@U)8 zlFLV-;5wrt5*+iutVh|XfeIuM$)aoSBVU(i$|uO^(3Bz8go$ zc&d$r8P=qi+gZ_bDpz}&EHJBA9%^g*W|A!*{ov;1ZBS01B&*0AOX{?}i0sm&CC?TS z)y=PJnRLEvdqgtw727x!63MRcaF8Vpe4TN?uhdt)^%STpzH*uC>^`DV_!Aa#BFhln zuzdV;-r+zz`=HJJB+W0~o0f&tp+2+skr`F{X*UO3{PNqy+R9QMk-A#GG0-j$oZFL9 zgF7}a1`{+wRTk9>J6_Ld?pCHUNy60-w(Ze>H8!L)2)*jN6Z%W?#T31ie`%bXGex@Dg`JJ`ut%r0lU8L3p!ML;lwwqHcDE-y5~lgTueVT-CC`J zwQB|(GRsDtGZEz}w?ls(%er|nL#y>HW)+)zUpHsu9Niv?{3$sU&{qRU%~~|kTqE7k z39L>R=KV406{z~9URB9qG*lG#PjRu^cc-2nQA5)15FgFP=^KLzj>tIM_tOhMC6#62~Fa+m6@4@+^d;=WW12NHoWx> zL;CIcUma|1xE`G&C*cyqoifZC&)i=JA_6CO!~Bup8;8m2x!utH#T$}EA_pB5ir~&3 zQXxB$5t*BIIlWaCbW323yVqwZGplHCJo!x5J#|iO#=P=?xnmHk;a>DqvzSTDCi{iH z4|YeIj&r23TkVB~Vx1y)+x}AvU&cmLyq=3S&j>M3&+dSWX1q_iEY$SyuUfa}hjK7r z#cyA{rVJmr1gktv;ebiI;8fv)0)!+Je)m8Fx*F{cj<;AcIpX+QWbx9tTxLPG`jK{D zpbWK@;8=S}rAL3OIwI!k%&?n>Zs+b#g9koAj`qE%ALC)(43>FOsP|xDr?8bKX5J!z zKIUrqoaU@ifJ@Ti*nw+?XLDBWl|_m)bWY5bN8_|h@>z7wmYV^ONcv4Ty3o0t5|qVO z|K?686F0X#uiYkJyB&{-+?NklCXZbK4;J7Y_}fgh-V3w7Ro1rDwqxAV9tc^pQP=c7 zlEl?liwUEv*jfahbJ`5lSw?2|$% zy?X@|UV3-OX`z}}|0ev#k-^1mBu7S*b2-&rd~}AgM9mB;5&xuo zH{ekH;PiFQP0PwHWvwW@Rw9*8r&$^`~N&fX#IgQGoifO}|MFS~$koLMGQ)q>17jR>tNL;Rt;q2AL{*$E4%n78;2^3# zaj)-JvRi9&k*lKPwFu-O7S8o&7mUdMw&6dUbUF|OirIH~^}UKl?8?0*o*C)LR$Bal zEW>B+ez77MY&P-kULW=$_wHy<(Mt9@RxYAk(fr0feA)6v#I9d)#-TQ;hS%@d7CjZb z2(gE7v5oo*)%5pG4#6RHj=ooJ870CsM}SB+wanLjd(ilj{$Xwl9~X$l zRsg!0GlnzGo8wJ#yOzCu^Ne7bvJm}QODtnyyg zZb=UtX#sgNl7Z~dCCC&lluC-K)!gjBm?&xAh)`9)8!j8~8<)~mEB&6yUgN}xJb46g zm~o@7-1VXBr_^l5uEAeW#LzroWk_DD%eC{lWmhlLqblLSsCfq zp5_DX+*|MF`?m~S3ZG*MN{$YGZbC(0x8XveSs};Sz1(8yW(+YZqAeJIIZTo^zpeOc z(H6x0T2(U)DQN6fNtMAE%fN$&g7Dx;l9uPJ6i3{FfVw_q(uhE$zc)<#WG-t zW;nBrIKC2&(^R8mip~IaJkSNTBKK!8D@~EkOn?-P<{ru|QOq{N*eA4Gdy$w6c~N^J z;UNc+Nj`8?H%mch#(C3tZy)d$=#-66*21+>1U`h>p<&s_V5hwAqmbx@K?K%IDN zxZ$KK9A24%dSIU?Y;qC(`yR{IFgBzAyX|G+InbS9z{F6(7Z))XdIjq^PptM(LaJ4f zs92cm6NDC9_&u zV9Ec+Jkr1ryGh8I?oc?icBE`--{kT;2fTR#e}AD5 zL(3kRu>~6N6pS`t?5@Zb)-B#p!b)>>5ZD%xiIk4__2|mL{^g$j%N%Y`4gOf69dv^z zJUU{oTUNd)NnD`b-z%Hj7wUnWiH?-~c@-1GO}|89GZFec3X@J>zP_-yI3b>ykl{h_ zN@za^XfUMHc;Mz6$M=QN^!-)Yv+7Q-5mDLE)3v-&FF6oZOq4uca+@jR-6viHU`5)# zIuhF)O!c0_u{3k%Np)lK&iZ_n&ZEvDtI}5fV*?KNeP@hy#?^-k(V2`b@DF2ii=G9+ z4|!JvA{&%Wo?`}o#Ml?yZOU`D-2EnOo^a12e+%l-NN7Ht7=>@NXIC^2QfE;buet=v zfd_5rdbld!fvsZm<~=hWa}S$+@W{3gp@ltV@!B6;sILaamlh{k(jL3q#L2$?`SkHo z?Tn~oo@CCS^`}MJ@oC#0mpkuoJHG=t(;*U8({oa4^=89{AN?>)lWRvx^m0l#KO6R} zYFP`rP*k*lhA$jiUZ&%zV1gjc~=3$_r6`O+TAoK3HM8*v8d_#!czs0OlglHIEG zBVba4fl8#BU}e$vJCHvn>d;&AK}XY68TS_JUbVL0UC!y6svy@nstGKy1WVT3ech5| zX!!0r9s@&E-6>Q_RIqp=>4I?=_3Q* zSUVn~4m@6d5YLwyeV=={m8~IlG08bIWqW?g=sO2IX8lkiSn|V$dRD&`-$W!8L6Ix+ zdO7zcPB!?g{=FMh$5>p96tw?W=8$j_f^o0_h1-AKZa=7UOrBp-R5aILI6#t5S63t< z$YMJ9daA&ye4a(Y07#Aa#9V9gu9J^Vsx~+D>cBEcT)p0<*NV1ib7=*Qe-fSf_{!nj z44)G$!Y2dY+~3(bm5NBX`@uFv&l>dyqeu*c`EG5^G>U%{E$Zv@YvFa#vcOPafdUl&u{k3k!+0NeGy%zJ)S$w#WA@LYNuXkv@lPQ zKVf_px{B4@I`H4ZCrwV~|MlTZvor4Iu`wiWFhx26fE4(z4CE;(JyG^1W z#Vh~z1>42si+7~gM{vryTEu55($|Y;u|io2n3eltx+9(oZfx-B^oaP3n#Z`P=9}fa!A|N+bw0$NQ|ZU zDfIVQ8Su=23;1nz?JTa5S_u)z^<$_$#>AEIu=gWhG5C+45E`Fn6%U)85Ju2muGWqg z-{wUB6_jYw+G~#xLYHf5wQ?B`5E=9u(b>7wYtFr6^U76}+Ccr?_E@6+^dLe|>X! z&3o&M^oMYQDLnagbQPbqR-^wKVdR?yajmtOiRvJ}(}h)4TDmEE3=Y;EQyj3~h6&`M zX1=-l`aoUb;u+}!6R|ziy9S(5B?j#FH(ZZ2zC&vo#LHh$rw4;sPoc&TXOg}G+ZSY|4*uYc!0cZ?kM%h%^bAL*C zBLR1fvuutU@|Q<=mTPza_GK~2EV+-BqS5xn&Mk&U73nwRiZ=7qO@gzVJ2ht7s0W61 zA?h_R^|quC0mZCLW5NB`$9*p{eNoBs9MiSzfS+b!;S2DfkIHo}>A?p4 z>-W{V;qGv~sY%p+!&9C5Tan2#bs{XEy048huh!kqh>@bbqYs6a>mf82TubX z^2=x?hY5EvzdNr~gESexk2HezW9~tD7hb2X&oR*j#-by{Ix@{XPC}3Ag3zWkB{|pO zw3Y%nk2_)wz;a5H3fYGV&(id>P6!UF$;}TF*H=Ktjt`$6!4c$f00u_i6Nt#;HtByk zZEw$q>|HPz8!5kyby5vA$(VMoQ=YiRrqUb_n7iJi{9X|y&VbFTm!)dlpHKLfHJ)f? zv+oj=Ekn*Sf>GsldY%`lNN_SCX<0TooQ%9a4MmkAILz{XKj#&x%z(qp#hV;>T>XT^ z&w&RcyCCs52WboUHYm(z4{SM>S{MU;4(tcIDEdCvcD8NwoVUVOt?25VP79r&TK2wG zDuEp4A7yDqgT1FRxN|bL8RPRgLJLdjR-LWrjud<@EqoYdd#LJHK#sVke3SQsdvX)u zFxP6dW7%)9H8|!$9m8Wz(<^h*;!O!7xcy#;>Exr%B)Gl(!WgnVpawPcrEzRfgRSaz zf4a&P!!ujXX;=BIBE6BS zsgihSJ$7M>aNo1SPAq}i5C{H+z0KM%kUHHzV`3wnUS`D*`6Wz=&*qRfhIo@LRoh#@ zZ!>usaNb}+9=*^0L}~wm`W@GGg(0-Pxd`lAklV934EZrhvxE*DKPq%jzxiy^c8IpZ z(jKT`NnbKjxyf4Q-0?$vjG$C;B6WBi#xgb{3~g1f*F=7g3jzbuIIXf)7-EQX1h*ud zG0coNrtqu{FCM-oF=D=ts=*w<&EH^H7{gWUJ=EdV(ZV@I zZ79LaNGaHmw?&svCY;;hPh5i8fj2{v5;6QT$=~6%?n?3nmx&%l=Hl^o4U0~gd@0pdQ$~go7HKFK z8XHLsiz+id;#i82->`X{3hsy=y2U?U^j919Q&VX7vffUo6lm^XG-x`ir0E2%li1Oe zFpN54E3G~lvY8?_4hEvWA)QzK@|NxiZLY>6l{${FY#;q27K?J2btR27S=PbEMRN z81CFQo75-7V!`^k_`cUgxc7dBXRb<7__utZp7zmQlV~4B3^+oB1v`Xtj&%;N`Q1d& zVBQrsJO@N;_rbqEhO--RIIQs3X4KY7W{U*+x!RZ#QuujHd{x+_nVZ6tTU6AU#Wd-y z#{p|2q5kshUmUmLWi6?fGRDjry2e@if(FcJ_{EwNTLnVf)YtjFX?!Ctg}dQo56X_; zHJJNDKfmVpl%XSd6XY5asCMWirRLx!PJE31`OMi>iF~PzmV5;~aRQf$+c$glwa2V& z7}@}mc{(?o3zGcZxRNeKGt2^qN*q+S={?9%UQ{0Vc|Gcfh-85K;FzLP(Ss{MZH;QZ z+R{>ENvax~i5q9lNY22dy7CnhXs0@cANf@=OzL7)z9u>#W1!mgm29vu*4!)a90(B| z=k7A1ljhwM#M2BOumR)1gO4|YelVc(pvw~qT16|ehwqnbdQ?O8zbRd0liE6zn(xcv z)?=VX;$^%%Gdezy3|BsD%GQZsy2i~2o2&l$XfWv_11R&9Y@5$GaCqd; z@VSY%Eas2h+}z1THv91Z{&4OCr*rE6%$Z$M2qE zGo0LUzh=Xaxwe18+L{kbQ(w${6gDZ0L6}h`;XH@}j~CS#X-_=S#w5!Wc`c0IZ>;(< z9j5^g&;ByKvL!pltC4}UbeeJq@!jq{^wXfCSe_zBCNVbax7nm<%qrRZ(2@9j$s&Gg zxfLXNa%q#%O=ogz*T1bMrRJq`Hc%t~w*n+Iv@P#<9<^3ND@l5@b-Yc-C&QO3NyC9x zsyHYxWflbg%sejkhEb9bLqsH_GsAu?^c*PzWBObB)>;>e?Lrb=VRs_>y!U)E62G2^ zUH&Y`;Z0O%+H@Ex&d^>?4Rbzy`MB%&4NbKz&$w={3FJ{@np#D^WL~LvO#l< z@p~I~-Qwsq8gfcv9X>X@G|NIQW|hb?O*cm!neNOzl-Y^K!Fevl+rT;bMIT_vh%cLz z_$zMDZmI%{J^w`FzZEtP3dc#mPfwsSeXY==%^altF>઻*%3C&cy(m`3UmQt`_ z)Zu&!x`qN9kucg{M9G-*St+vu@|7~fhq7sP3#4T4O}NOx3-+;3_%YZYCIgga0SHsuo~-B)*69R z|FjtOqFeUPebz($<#=QzC0hF4F$;)AS*^Sp_v4nM=ZUQRr|p~Kv!{-=T-mV^Q7`NC zb5()O@Mq~a=;l+U-1^&1g0}>6%MLuEH7JV~9RcUSYjY6~DH29;r=vu>| z>aEa0fgX&u_Z9dSuXaKdk&7tdQfF9@`{4MYl?MB?!EiB{ zEtg`Wc*vRybxR6-l&*Dv(ocyET`cPR>nmtg3IrWBrFhAhKwBMP^t07ME^Pv(;hT<{ zudZ_+7XZqschJSm86*|$Dv;I-griQ1FhN%ENFaHTNhWePct2%+JH`U=u^*0*mBZIB z)Zv>CywIMO^~8RSe{`69L|piky0MXm7YkcQb{r{LK&m@Sd_}YQEmGNKP>Kk4Zu0c@ z7_~p_)$yNVp(`8xz+F?{W`g1ZroTh6z+av&mD_r0-@Kic0zPoq4wI8ntXL1P6< z2O-A>(6L5U&6wmwyADOwm9JkiErXBTl1xsRVFGSj^NK4ymzS*==R(3qCv^^ngq|;q zl}jXX;XT4q6$t+G)v48gGc)T2H^;?TyJx$}jGxTteNn4A2g+_wrycuj4uEq9!v?e{ zu?AO|!emJ~xemkJ4I)KatBD&$;5T}ckTmiRdxFP~DDJjvGKaiBF|FaLF*dBgc*2M!HKmMxQ|1cnM-GE~~f(#Xf=BawZIqA?s^`BLu5 zBUnxP)+Y7oG3;WRnmt-r__Au$YqO<$eHoS7V)3~R^;XPN4pI41wf5rq42rUdNIPNu)-`)dm|wKMZZSE?uJtC#$G-}H${JZ0O;ebZRiNY&ox6I(J>_P1WT5nL`bv-Aqp5=su z)W2gY7$r{(Fw5RUSIX=Ck3(A*f{U1~=#%+3k}gXiGQpwbnF&xHQy){A5dHsFY=KBjeFz$0EkS?=(Jdq|Vfu?TX3((hw|50(WYW-`EJqjFwo z)H@rK+(~{>>dwX}+1Jzeee)oYQ(TCrPSXA0qrE-;=x)c%bVjhMh?t(ct*q$rWC)!~ zRw2#seiO4MiutW7=oyC{8xFJ1c3auN%3QcJ@f?^_aehL5e5Q1i^EZA&4phD0$Fo{( z5xBLyVB!%dds?-Nn|fdL7W|)QgbL zL8#6eo_bKJGa#cr8;v?tBYn1mgFoG!z| zj1D7$w?6)JUq*7MPh+GfM$-3fM>0>=B@MQf%#gr9?$s9MWKNo_tT*wZ4?It7Xku!^ zSlEhL@;21F?Qa|DeK9sHf0m~A%gmjBR5@~oyI}~-a*=`3bYKoiZ|LkZlQhMuVdn2- zn4i_cGoO6dt{fcp@)pnd7=Iyn+%+;=W|75l!NDq#6@8O=9 zZfr65zT?7<#6q339oBq9l5+9{cCv{1}wM;J4k!pz16{BsTLX5n&yU*R%qMK)Q3{J zM#{FISg6(}tpStRBBdeQtrcfh5`x)*xu^0bxmI;{A2TCV6B;#WM0W&JM)+v-wZ}9# zZoYeTJ*#5b+R7_9u$6pr1&o$R5t|*wi`@vRYm6+th=Vta2}DR+Q$*c;JSQrH<&pzk z6Au;eOMamY`|GS}TlO&yNIzN(5!l3zZ?xsxkq`QA;lu8V8OWpDOtG#*f3r7DSDCd6 zH^?fEy!{^(orPPI@7sr;(J5U55*ytiAqa@1h=hRP=tkH`2|*Y&X<@+VP%#O~ZG;HY zY@`aZ4WtGJA>ePw7r}S$U+^5y@x*;!*L8l*TN^;PFDqAi$|!AJ+Z?BGXl4a=FEeIU zx?hJ;6qdJ_cRw6PsJqg6&rL)&PQfqQByglrH_nYd=kNblq-fg}q;Y&|eD%+`3joWA zlYF}uh|N(Szx$tA5H>DRDHMuJ9(zC2)$J7C@#R%$MJ%?gH>92}^k=WNZ^c&j=iN=n z6y&4zm2&jn3SYafdf(T3<-^@f_62^-q4q%gpm;-cqxt4pd;IgR?i#sDb=+ZkXS1m6 z`74j)@HOUi6F!+E5+ow)nfsXG5dI%<%dx0uLNu#BXlldb$|yQsv#W}Ul~M^jG2GWa zhSasc87~X#Fc;R*wYU~mBoF2GFCeEh342$Zw9$5vnjWTpmtq8qpN_!4D-CMLVtH>= zE%`bPqgt=^wY>3`O7R)>fy?|4EI?sH}tGU{%L^~B&EIgY6FJOPqUy;P<-qjkftwJ`y&vwVw0Ub zX80l0W8@z|!RyI$=$}BVQ|OZ#bAT`@nHa2ME^TDrx4poZXa%AFKP)P(8wNvU`k4p?_T;nK zs`Ly(EY5A>-4K{~ie9EmLjJl3)O3mChlexHAlig`2qKUEg%7>oZFbb-VR!jmDiqW1 z+Op%grn;iRuB3Ebjcsxu&2kdNfYNebE%$U?i2sb>(>s(qQrX{16KjX!FL^3_VW}~S ziFKc)Z-y5$-JkyB8=BD2TeLv5sy|f^ZYpy5 z;k#kS=dBbZdKUpkAI@*Bd~U8!g&Ag+zC^00k%er2HLIW%$1+*wHU#dR$nnS@?&hwaaOW9q?li>D>AfxZ-}{Q zrCR58x#@wZN#R1Kh=h6$oLV4y(uOt2Pt1bik4Y1?-n_0r0<4|~bQAIq$($MKLq3^+ zOU{-}dEISU_QbbcJdFM2vYZ@;`-g$SD}UNYSTT>(3!lV|M(DBuONlr#sT@llk@-Yj z*ca%%F-i;;Tv>^~p_HI=(ERCZ4{l_D<qiJx$y4=-qV;*>onew*+#IQoiGu z0Ho5jdk`~Rp(&xDd28vzt|pm6J(=hDe$?UyVc*0}czk_`&~E-8>laHpQkLgB%Vz#l zok(*9o0^#;OGqxroYFrKMAX-#4ILrzcX?i!=I6fbj(?FTAQX3xx*N7LfGy))mTrS< z1Pf#@Y1!`^8^N2=M65W{(QvCJ=o>1_7fm)*5itlwyV zd(CI?%43b+XYQIg%e9T*F^RjtzmMl)u;tcLH58{ z3e|)$cM6&y`BlkmC8Rrq&9nULC4cn%syRo<=apFE`(aBu1aDl9f|*o957t2mQgE8> z!r{;mnubtm?aFNMjl9?+NEC(xZk}G)TmARn^&OH2{Ll*ALt)ZgXA@r|!d>iBC_md% z@D`pW!2c4ViR?><_=h6-B4x+@_ZW{hWx1^ptW2bvuP*$R@-?Yv^Nl|~Ygu=jhgK&n zMxWLG2#Ng%yq2H;(x8!0akgSaTfqNU&wkIm$Fp5OF!e|{Z|_c8EGay`!^pxfyu^xC zWTPMl#9#cuk$8KX#Oj-$5qZ~~HH+&HwL22NH^Kk%Ea~OuIW@u-2(}X#KqtnQTWXx@ zqeBMd*QS>)j0k_w<%lrFG7IAY(97!bzxbG=01Wngsw>C*WXtHL87ro zsCq`=jby=Rnfy{p_hBA)bK7CbwR{qCkD)g?48HuBHleO(pEt#fiZ~3@k;xXXLk%e} z9B72Ff?8e*%j*B+=n$*{9W`#^yA6I3)2d=30ZYcD660bKNORkLH(|~;wEeK4eLW|w zDB03iA%u#tj1M$UJi@?Q>qi-T4Fde2?RmQ&(&FnGyYooa6vEWd`-Rl}T!eVqT!rTGmS`#x*x5GD}2}w5K{>bc#s`mdL z@8G4)6CiAIxE^$J+sGBBOj?j3AUT|RE7F8j(-hCxdz~{w336d7jz4kpVej8e(NCR; z$#COG)!bSpe3p?}9&AksiCJsiq1N8nD}JY0E3T!*G425gK4){qCcHLch|yyfKTXq? zMTemapW;_fwHqUzv?2p2ajCcqkD39^g#1mN$83sc1@Zv}Kc*+*_L!Lxo|abeAU6nM z@`k)uUNJ=2%6vZPHT4?r{gRqLR-_4A?tXSSS%l@Rtx8ypHo1_d6&Zn=p#J8NjH}hl zyN9jyA|B3>8bMqK{?&ffb!$LE#zZt9RCv{DlT(F!TRChk<+FJACrt?WIOy4Lw#Xd7 zTOD08p=5b=caeCJD6F!f(LBFrX0;jdVP)AUC@jqUr2Op-02}a{vKjo<&s3_wKmTdL zmcB3Ll5P~ZXU0#Lx|OK0Im@V8$wp zu$4nco!)b;;q*#?%BCxu;FXL;7Wa7wRU&4 z$_(;bqVYSbTVMCl*b6&wtpGyiLbj5T=bZH%$Ny8^{0yC>0V=WB7KS^N7%e_48OA5(T z()sy8lp=jRIVgNJ7qGr!Di=2)P27FjYc=iNg|=OBSsGAM*_49DEFB7k1_`T}2nGeK zniZ5qb}}tLK~65WpbZ@OlO0(-xE~Sz0pG7j`ud%HoBTToa{Np+*9%0GC;TKkNf7VN zf56yy-;sXFL~UVeZMi<9iQ0a-l(m0BXoxVumu_$Q$lrt7-D z&|}jehIXOHs)NnZ6r0Q4LcBZ7=bnAbFQ7$daA+Y(_^2}zh$+jPU_eLWMZ$Mkl)aU- zi?#Xw0WAfqx$8r_`e&=)Gp=W#ITHvLrMHoqxqhA9j-^2C4a*byXp6%Ee?Fgt(LH9u zweKbZEs#SGvt!YePE>dY)Zpx`zu+m>idXrZy0J5R5-(x&n|RCO7pq^4tJ4><71Nf- zxAC%TYuFFzN{{8C#fST+6{}*K_6&0kZH?_-feDUgsFf{^tK;`ie})+LJHZ#ld2UA* z|A`Bt07#LFyDOHw5UVzKl6bQu+RC&QnydEbh!gW85cHfOBYMC^8<=R3L+!0C$m7ST z@q6H^V-=2eoh31oF(u@QYpH$n;1+_HDc-MAA7(ViVAinUyT0U)#o#2~Wd{kmb)q)T z@7nooJ$(E+U{s#YI)7wpt~Q7By0!=;oqktY>+ZgDBt4|(oL&3#IM~Q>Aw`|w zrwDSGSL)CXA{>Rq3O^Uj^?x?AiJHa832*;-XGeo^IRA&&Eae^(c(>`h{)6d#e~Dd0 ze-MdxW7oyyMC0!|=WfYK+6EekTiSb0hCr%Zom=XAXmgXQNM=VLZ1l_eo__$^{JDdg z>+xzO5H*@Nu}uVL`JLW|s`NB9he-U_o9)NhZIeP@NFO_M19+l>DSx`WMbd}XUz8cT z`a0C>axx(ef4@z0OM{B&PAP=@Wdc1%<`B)N*;7BrS)RI;n+fR6T^9afR>pIO!HHFQ zS%i{^cVEt=tn9kplb+H_FU@7xE;qcrl6Q>nha|`I!euQrDRuP$!5x3=OXTsSKkF5+ zZHrHNEOLeLc-5fv2MzT}qgUk#t5Fu5fN2>^P>txro&niRLS!qa{LSj;ky`hM|TH)B6F~JZIdrKm1sUG$n8N4I5u9969^iLXjd{B=)7$QzVT~>LH;B3atULcVa^MI ze2*{N!Op%B{QJPCsJPdmUFcQ0rH)9*9Mp59BiTREIRF_cG1HlUY6Q2ZHxa!1pPs;; z6iNx|g6+PaDTOI-fB0l&-5`>WC~}d%E1Tjv>fj-QX;koL8U$Z0&K~*V_zwu>HLbnh zAyTN!3vHT2T^)}5`tH;b-o;!*o&`ZpQ9phh1_$-`1y|UZ9lYyn6K@+m8P=GH9Z-HX z6s<8hs14%K74&qXdiiR)TSuxa5~YsZM+-?_Cci8N7Cvb2s}yyO14k5>+f1`gt@L;n zNaY=)yAK(498HV;uHB*(N{`vLDy|4Jx zr`d8I%@M|wJQR{d_4x-F2lTynp{?sqF0H|SN>qoqU8De>6rRaRvecSZGsMYj>~KdL{j4K^o&Er4<47( zJHTg0m)7+*ygF^S$n=I6>O#!ph)IaC7dO&Lh8F>J!mjQwg8HkX3I5n$S2Oz-m51L` zb3fe0vk-iJw%1$_kZizM4??77<2IyN19KWqGR(CJCDr5^cF$`_pVb{NeWxV-eMzVn zK`B)D;Zh+Q=4wTJBs;M?v8l9vs)rqX*otIauska;Bk4a2tm}V0&Q=`$^@KfkVymlb z@YH3|!Miy;BK&=H8zMR^>Y66N^fbwrPNVylDZ)->rm_;HtSi`&yv|Y1TXnZ7$^TB`LU>&V+-&vteV@|W-fExuR~R3-CTTleZL zy<{J9KVYz6MI&72Sp-#qLBm`c`z0@&ajF-0KizLXAds~!-H$<@KKt-*c}qayUFdac zf*(@HLdN*>>(WJJ$|?h;M?MT~&rHCeXdz5ihC30~K8f12S^qm(QK~!Cv>mC=rD}&U z%W=7yzZDb`0CZnyV2HcpfR7YwRvf<}{nd0O^d6`MrGJ}y-S|&=Ig`dKt{t*ScD{-H zNQC;LfiD*;?=}6(pF3D+3$8np zv;Lwcv|;rml4SY*ex;cWQ*W*L(UZ_ph-hPc9VHO!;v8O5cuSs6L9(s2ztS3v@}SP; z&!R5IR+19V@YN&XA;x=wNnuF4<=)2pPM{2~nmM(UWnwn>Zsd*f1&$~(yg;wn>;)w+ zm*8_}+nuLw9Z1?49xmgtRmMlzn9gC*jdK4T#{3z`Vx+aGZ@;^q0+QUTXHl)&6$(lE zNr8A;7RxlbeDAZ;F|H6bGIBLeB6FA@VJDE@?9iR{oOvI;T5`xdS?F*xbPi&C@a@IT z@*x{q$8z@XO81We9_==*FO9=(h0Yh(*Vn@}ohr9c(oXmb36g~myuCXB*NSzNm#o#; z7w5h&^dkW4_S>4+yZ+vCJorQC(Q&^s-WQ>CtBh6lAE3F^EC<80?~%kJm%<8U%WK}u zgk(D;J1!=vZZo>l1;_8M?WEs`C0e#;;JUMT4Dy_7p*_QXt=jJw+Cp zSo$S^*CV?{rtjhR^A`Wi&$M!_fG;#gWYiS|;fD8wT;gHyG%H{U_AebgWNV+iZt}sn z9Jw7lL$6}OfSrldjtlha5JfF!`By49T38;EiDdWk-RC4(zi^d;MNzBULx3CVo7o5R z=p@MWqPoq!g)(3_NPV(?BJ3q4gjJr4VU}L1*2-HV*pjD*bHQHKRmmNNH80_tJd|AJ z8Rs++lq?@uIE2(X`I_8iy*-U|=pAPaG;!{bm?})(H~jSpRCwra6EQvefx@6Zc!}C$ zNnDA(NySc)J8)8w+iOBA++C>votj9v3naX8Wky58UXV1oQ zQzj?6Dlg^5Ys#8)xl6KL1!gDbGeUct*th|MjYpbSf}+Nb3I!1mA)Xn1jsi(^yrYP~ zo{UrnHf%KbQ={NXY#Xy&(e!7aL)x%it%C0zo+R)1Y9eAG>haZ=Zm}l;XuFcuZ{(=t zUkos@oY@Hlbb_P2&gG5g4H5e^!5>w(%sV~kAYlyrS`1dtR;+!@9OW!c8qRxkMh_o6$9&}17|Gw&@^*i-xp(58 z=Zk=Nw3$8Hnb)=vDX~_%YgW8#WR28KFzrh-E+1{cxz{ugt@{r#a@W2Ht{ z(wotxQV`pVzRY$p=^2Lt__#JnD<=5w{_;M@9fGJXO$$Ot zJLZ)tkr^huY3%aF;DWkr8+D%GJWQr&98tba_)QS)|K;lY(N%i<#|%AmxUe+EC?I1! zT6}DZFB_WLim{{D23h?0WukIEjhW#M4~B4zT!IQ5QQiBzeA%d)NxiP=QDpBrTC_+3 zCRXMAcxP@{&2jxZLzzmn*n8NKZ%hidOegV^*?R?#pLuXmgtX9WUUM;6&t;(t)SQZ( zJ=v=1${l&afi1t+JJeUC)p;!2BW+MfP{s*UVlG&$Lo$bQs8-P_0`Wy_%H-Uwiz2j__7Y0xL~O=wDrNE;AXl4rGQ za^ebbBBCY=wpR>W4K))q3|nPJriOWMG>UhMs#N}x9M0K4bl27cO)m}w1cN5nwM;*( z2!DXOb~Q~;@1}%JP%8r3b&`Yj!QuU0k+=SgE&z@nRcmB6FQ9}FS`yNxJkV$EesSoR ze{2w3{qmr3$pYiwe4(75UuTHsA7rUaViuU7i3+?obtj|Z^}go--6;t%GPqto(iDeQ z+0ot0SSiNo4IVjqsbt^hW%RYQcR`Fv9OeF|jb?nbYPM!Fu>R!Uakt#*vF0_!XBAYz z6X#qp1!WM&#gf5Ix@DqEHf+@<+hIYj$H=T*mCWw!dLEcq|KtuT^2nZ1s5`JMMvZN` z;RZw7qh)wt9l?i+uW9z^`2e7FErHJHiM0s zaBSe5FwLb6N@nOlG1kcPsa5fftGGgRrr-ZS2SS=`U!-s+iTu}Um;*FM>)@sL`V;S& z5&ZLa(uj&42@XSA${A++T>ApzB_$_F3tK>k7z*(vL5-Xc&~S-^qb=HkQH*Nl+@`rk zpY-F$894!q`Q~OqZtU!Y%*!u(PYYb)GHZld4>y<0 z4V#r0HE}&^asPlz{_Cf4WoP&(e%)WMHsu*bp~VsQlTYREBaY}f*_db^*Lkl5&>cL&7X1Bq@w`7oY z;!TBTSrDC58BDi@pR{uLX}8?NUQvoK3r*2tkj0VGkHr-vz6dDb4{z7AfxXonecu=2 z-0v~~ktkWEZT7PqMP4k66LJ||9i#+}IhI#h;bVHh>>W(aX$b$7&j*xZj9QFC9+8Aq_6=ALo zHWTH_YUT}-N%p}->3@r(eR4!I45F^nH{^XppmXtVrYLMx_M0UIol=Tqo*ME#Frl;K zDDs5ovGQq*XD-HQG#LjNJc9m2=mlUnHlEaTTKPlM&AyuL*tmLIgaQe+fXrD=<>@` z!%!H8YAxei@3D+!541wxE_`Jzi%=k2p*$?vMi0m&vlZ{`?By-@lQ}M_!>`?Cn{dsy zgPY<5eAr>J*`q))hI%~D(MD!*tazUIN zJ68Us{5G`2COxgK_ky!K-Lh#V@UDkBs2x{^56G7amKMo;!M;tpJRn@_2dPsTE2`Gz z93KI$t6R;13k?@FuU(NY56r&{S*8s4B`t=xO`3L>?9xC2Z6HTlV=x*#?VCpr`4EGq zO2M!Roh5<=WIO8XSdnQ7zYQ9MEHF&t1Zi)9s-p;u$t7`OWDOdoTMkoGVX#;|xD>f{ zNhori256^uoS8)?Os-lqnJMV*t>_-U?@Z%iS#ib`K1u*32LNV$@lQf$4Djqy!5e51 z*ayb1xGLdvcX^4x+}Jz$-&pi-oA7mgFd091x;z#Q@g;t4e%^_DpCjr_lB?5fx>0xK z?-2Wu8d#A4tiuf_xc2=@NT3UqWhiToHy=jO>jt@<*JK8r0-*tcQE$dV*kTda1O_y& zT#uvp>lL{AF+y;U&-~5nD5+rM6iC>)GRsl(O4#gaEIOm^0u@@$5(?(B3HUhE`_M$tSRv=pO#SH9a0>g^ik z(}C7?d>^i-1lRSZ%0Jfmn=;lPksxI!Y9fvFi;gHJOW)j=sCKbtxP3LB z?bI??%D)lpjg*zua}lnZD6pkbZ{WPqIOf7#r6W2T3jHooUMT9MOgBzNY++H?k%0w& z@8<(NM-iipP2+3(0e|%YgVI-Yw8`E>6^Odo_h=>S_!<7wy`-^IL)|+Gz&R!PH+Nmh zeR^qx>awS1r@gyvgldLH!?}B$!?KrUWNko-ye0pbam?Cj-ex5L&2jZy@X`JwRTu%4YHsTJ?U2@-%Yi?)-F`<7sqLs8;OT2uDv5oBb6$y>n`1yiI)Y%vGUrLZuoRV(}ZLZazzyzXlRNm zt0ao<=RK5`ncg7Vkk*5LfMDVSdxl1x@c>-z%yluPa4959o_fbw@4dUdMqfmZUwp19 zshM=rp|F7rAC&z0_%z=8mw!EdID5*}Y@j zbkjOoIbKd`?qgch8&IG{)s9214bG%ir^2rzfLpI-Hp?acd^B^n1^ztEjI&3fX#M_$ zrcRJb=4uzFK*NxWpH#ZA;R_PejlYu{&GF)aI^@zPkdJKIb~HW^JFj51i7P#y=+1CJ zNoVK4GvktfIE(t@zjcoi3W9=3!$%!@XG4H(PRbQ36Xz5ZI;{BF>OE_#-Gy&<0x9O!fK2uk~|6D zMHQzmEyjdC(;`p4Q8SaN5O?BjHo3r3h^`Dx(Wq9}m{2Q6w?2a<7{`3=H4iT>&!C0v zA~S#**wd7+(lhtzX}S}mP{>RWxbfCoxXPzePMM|~FE&I}b65lI2e_Qt9@(k;LVLS6 zaS4ncs)Eo92Dwbv=y05nkszF6Hp+R8h0r_(Pj%_P;Nct?JpLUh(E;XWLYz zw3BElv|%VX(73mv$odHV_57}`v{oT0vJ#k2yPso_=iNiT-anqa)BH*_|I|+Q#<);1 zE114IN}dkdP#IY04iTIuxx1UmO-_k@&^>zgr7h3sXUcEqLCX0xq_H|<&`}x$eo0sG zd!*7U8)Q#*|L)sj9S)cLX;OW^+s+uWo@Hgq=aF5J;cKupgoD@FCIiV{eUcw@lI=&2 z+T3L)UkIjiY73UWk3NvX^>ymj{86Cn*p$$Pxdc#S9XpcHS0v=uJt z4gWHhBWpe@PqWZ?GuY-mhP&01&w{4lu`LveE?^5-QPrE0%{-ywvM4?Si+?~+yK~ps zs&%qIYAfX=5K)#qlmj%2zj>PVj8(dCYb)M8*Lzel?=64p9;Xzqlwkdy;%cT;A*kT6-s>`hnrEx9jXOyNCk}Z>1)RXGIkR>7RUGa1e?23cZ{4U`8%`4` zK4y5{ulzN{fYun!&h^odp~Y(twUxugrs5;g)>pvM5@jm*j@AMbA#bNxl|sP6pvn&h z z3E*)sisY;HuvS*cz`2Suy^~JBdRg?0PVbT%_TCdr}Z{5 z1)41rN{>6VnmZl0)S1gCe^P5Tt3D=(mIX7G%vC}8%Ve}fA&IeJJj`kWDK?UD4Z#>wYa8E7mr**uEJOC857?b@2aY(Z1oqC zr}K)*h4XLv&st9u&}5Rty`ti_wweZehM6FkKHBLhPnTDdI7aO(+bPIH@2ia0e4KQ0 zymIW?cBj#Un~|C?EBHhz|8UhBugKnVGYVK0uNSB#MlxtE zk*ylc`$*%Nf6HP6iaajd49geGSwl!R(jP;;87q`+RLDrm>V*~OzTO)H{J)P>3S{jQ zd5yxu>=~i*R++vWPxbuSGQcCz+M4i{MTPJ!z4C{Z%1BYD-IN0gl9K?!mI$ZPIC!_flL8=tQ%2Jh3MAz=PprzrYmHxe^`|XI7RtlvBg>gBBpNIMTV8>#LJ6(S|-XR zy)m4l4}R&@vpYUD4|_I&rZr-Q{dh;Ih-=5&hra?2*T0LEvnT#FctzKF^KM|SFLX+( zu&b#6Oy_)hP!{I1$4tIS`A>D{?*N}EeN}0ZZQtW?esmRMwN9Dx{&sW6nDSGrfG&)2 zpzBf3_kMF1UwOLt7WkIyo#Q*I{?14)N$n_erLzj!m^ZT!<^8hog5~Y>V}w>5C8^5E zWJdhd>fof9)&6CLw##W0BzVKfKPNLslKjQ-B0^PLXMNRLEX_fIr=kY7QPMD^I&1!3 zwLa=b0ka%jp3V#xZ0!R;0$=8ad`lUrVb~C;*}qZ zy}CYuS2FsU3wvUwyS0neI58QuiO`pjXHcRdLv#pu$+BI@$uwJi`p$^mI184I$&~_} zt7@6>U)+i`T$mlijZcMYxlf5{Di=S@o$%*MKV2^H9XO%(f1oj}$~TTgb|J3MLIm~J zYgai=Ld7wQY}M-&=%dH`uU9u9_Kf2+9=~mwC3Z;3Y;Jf$Wgr51IW(y6@tFi$VD{Zr z9Do;0{%;Q`aATM!w|=t0U#a-q|7ko|zW2~g>M^})TN1^Imk*^e1zg$kZndTJ7*Q*) zj1ov_D472r>L<6NnIEr0lqC@mkr*kULzsi5KB>NpnY=M^wdA(45YL!)T~GeYBM&pe zuk!=d-La*M8hsiL-3X~Xb1_bBlw?skbjkK!`>k`wn$|vZ`s-{~Lo6Sw4I(N=0GqD2 zH`NiccIw?B8k*ynGJ^)qeV+UdHAU;8^ip50Nf2Yhv8c*gk&EdZKJw8&;ErZ1xoLCl zM*H7^nkSE>vS|7xnE@0agPM+5GB2=@WhhvF>q5_eP?#U75Ww@aHAt0iTT+jaRc=Vs zEl5`#*=#L5b`MU`eMT5ZxIoi#oy-YD~x&K3nj|b z6@y3y>90slt2#(y{dmJsuTE=iR`Etd`{&i>{*fgX7gif_Cq;J3 znkKZ#kOc;1W5M^~sL5e0np)bEPbKD76Hg9r`Z-lPZ$)fJh*js!GPGBS@7B95F}@pV zI&kgNDJYAYS|Bc{d<}MzSgx@1NjKrizNC#wwDId%lUlx~>Z{;8MXT03h9DVdT|$36 z*k3*oo24_*CC*z-4ci!4%k;IsDmdP`!;U-24SmP(oF(Z}?CK%yt@a$4&iQ!t!_Cz} zzAOYG=c-P1*Vrk2Ol>X^p+Xde`iXWL2j8zwC%34o^7`wU$v|Qwq9S5uN_~-m5kP2VL2>z@dGgO@{_o{;Y)+eT9fT#zZ zeh#4tGL%f^TmG08O_Ukc5=qLl2UJaZiW+)*1kvp#zYN|Gg&x*= zEs;n1!cNupb&CH15|7}zG_7jQGdKPveiccWXN9Z%YB(( zNV%n$X~O%MJoSrqB?0{|K;k`}HnQ-|G9Ji9#PTMTh*z>zncjL=3a@bGZYXAl4Tu=> zbOH$~d+RBhZX)cSq^_Qt(TE54=B!x>@aW-tLSLeDfW*My&2DRyPEiXp5iV?_t)4se zT#nGk#O#g4 z^aqE@hx#rQO&jLCDy~(-~I+aGsH8coKDf8EuQ0Mu8<3P2TPo7mB4LaTg48~j%HZL_!}!Hd!B7)PJn_zFWh#v6fP5T4%9EK#Mo`|hCAI{`Ug1X z5$g57u-*sS6ou)mD}~cV(?$D=PUdXGH4Q^$msgU;o7N=4r>KD-%uyQc$Gay(f~-S( zL&}c1w!>{+?bn9??^VHwGqjqhczDJKW!RXxd`Qf^})n9})Y8#Zt(5 zJ@1fR6$+-!^~1E-aHEu^>j`MG)xGo{@Lv4WY+Fxh+E^4PVYc~QpUs0JY+=z!d;eu$ zzY|1Mg+meU;VcszZN>__FH~E+JR=q@jZ3p8h4g30+O{s29`41aeF1{#5OUBgu<5*w zVE}wuoT@@;^TYW0g*n}TJ@e~YaguKy5-_x9h1y-^ST27~9MKF%qLi zWcn{d&H$lE_7!y{+$h4wzgJRDFE`$PKA7^q!+*dcz;%m>hAmdRTS7v@ei71EtT)jb z@_y7BQh>s%R9O6-bEuw`#xzSkTe1_cIm6WbxXtWsc^Z!xq@ILxGc^zxBL@C(N-EGN zl7LI9Pcb3jYYYY@mZ54(($Kh~nIp?X<{<`)k^Da8jA<(Tf%5<#zv)-tTT(O#=${`bFVVP=GkGiqJ^4LVd@Nj8H41H{Gl{eo=D)HOypb6NmXNY%Ae|EvJ zf@GW+vYypb9+n5CPHm4V>2*naDcYSpFcT6Udhdvv5y$a^q-}eaD-9AjsOaY_O3;ih zbOP8;Q#&TBH$478T2;6NpVuN!*Fg)<3l!SYlS@#Ew&+HNI2}?42dYA+;f(_pEa21C z&U9gx1w@O)3A>ZC-8=#+ot45ba$N;u{Kr*7(-B0dnf)R!%}8sp4rJ%~ zuonFH4O@K0ZR!~Ib|Y^OWo?JbKGI>LeMPGSDCryMHp`fz{jMzchSxH6Wn!9Fm~9X5 zF%z8RqIH*Po!fi1oUe~)#-Gw{-jlE2Sw0v`OQ@f3MjI1hM-VUgVG@3(RP!GY1A1!4 z(N^_35EtHM<&&fE^higo`qy*=u@5fxV^e^ET9YiX>7V z9N5WqVbjdsNvvSiUl91Wa4w$m>FPwtdVn4I>HyK@HnsX>RyI<4qhl=61#VTe}S1ZVsO}s zH8^+oLvN&k>RAbEuv&dfqD<*a-gb_#)Ww-1(cNU1DOAK-TUY<>8Gc|;UFS6$SyQQD z@1uF-)xJ>WmtnkG;|TdYN)!~i5iv6fAh)2;SpwYBh74t`KQTu=u!-!r^x)D=_~Cy+ z470$oxr$F$6oe-MAEL}WsW}dv5OmQnV(ZS^;~i&JqEY6rKnIpE%5?^ZlHf`=X{1QI zVK4M;#op(N97Tz~d6>g;CU7Tvccbvps-diTe0Ogka|k{JhSAlII*XQyQj{B z1>{^uGu}PGOTSd*{QpBY{B-kgyBQwp6G0Nx%y;NbS@r)H&3a=x3+DA~#~xn!8hz_; z6r~q1PM9TE!1frs1{K2Leu--`rxxQs+do-dSGsUxx1NRau9E$JFSj&^ z?}nqZ)(z<%#W%>6O>ok#v?5)%?>CS^i9Nl0k=jy2DdFS8!dzFsqYP_3GD=H!{jK7W zOb7RZABrDja={)OB1a6!J41=azdT&NO~B-12IcU1R#$de=$mw^ugYk}F`9Lh!VJ6#_pvNL!y$3sxUK_3@#)oJ`tK zT2p?zT7v%+zo0p>TrU^8!KK|i2}C+c4Go-B%4Z3cQ)b4(zW?FT@~bM;DHrfP^ae z=1sb5=#C#S9ypm^;0N5NB)%YNnwB5B`2m=&0)JG{>8+pEaw-pdC;<)?l_YwxHvLJ2 zbtojwf;X!qA&O+>V*{J(Yko*?^^2LD>hPK70CaJ*;$Q^KIf>eI>?5Iw`7wi&aOtLY z%b=e5Sgg=jpUmZCm?nAp1qj{kA`wIPUst>PS93!PuyFR~;mfmmrG#YnZ}ngukW&1&RABas0QEsSFb-U~4hgQ1+e9SDZqHv#}+f9?(t?&9^mP5ET?g@8>v>4yNQq#Qk_mOHuJ%2zC<|E7})#*mepBq;Rhs;8n z4`0Sruvu7T!3GJZxNUGVU~xQ8Gz=BXIY_|lL+l^7LzPDP@UDN~&7*yy6&$Kt??{Tj z3}&2of>B<03mMG4S@`9|?jcj{A>rr>d6X1LZY5o(Ei@7NMdK{AlRCA|(22P)Bay9e z^$$n4@-Gr;y|fc1YuS_{le|5=H{<3n^#RVxAXjuO?E#etV%p5se`p#0l;W9wHij*pb7y*i6;@-N0BMx^L!qvtI{6ou;xmK@3mRWrHq=-;#+{8?RuzX6gz z-GrZZD9kYDWkPgQ=1k?9Fyo_8yDcfw`P&EW`+zFN2UjX(!h3dShxF?^LloGYmmae! z@xP#{(gCc=sSm}bK{Uib&g%hoOzU>o^&@kx9puHlcR9-_$Hir3qbzB z?^0UmSg4P1(Ch|+VC2|&8_P{_`F}VFY)^pjjgLlacdm^(E7V z?l)&|HZv5S1bEz7hB71IHSkQvkxm*mM;Fp zgZw?=s?7LQG+5Z1leKgG*T}t5QMczf^;9k8+eF56ypN`J*E;d!dbfo{`jJmC9giP3 zqYGUguQwFJD1!!R7y>ljiv!nDNW*2nYdd@s*G5$o5(l;B^^X{*YwP%4h5y|Y@nj}k6(j?{^rjfo8dZlqCHvxjaBO}Hh z95wt5abZ4~4ss-=3~1m(rH&*+z||uRcMMQd^IvxYX#TEgQWVp*eG^vgg?4kX*Oxx^ zh5ydppwoxs*!{1t=~gsH=-)U!7K0*Mkt>LVxbaRq{drGlC0x7!7wxbPv%qzrPh3y}Y; z8!NxI43|ta`&gqT)@m*B-$1`F3!33vEAsH=0Z%1RM<@$JJ^#d`*%vjV^IS_Bp( zXuNWH4rH1%teF2BVZA{3ii8zv{4*?SXS!{D@-Y*F+1)MKp5=Wa{} zzSgjib$r0#aS7;y9>}c$8o%(vCLc8s9yZU7AwdZ^o7(^gr*Ejske61^<+_!_Zv{RQ z>scZ;*-!C835y0L3Q%);{j(@$E^Bo1Ar>xc#Hquo4 z0}qN95SP|%YIN>9YwYD1WcqP%liCN)T?4E{DE>#xWjLR>zZEW$>J0D0$ve4nOSA+x zVP0u^?z%ipefnj;DsZ9b;5@61+y5L02Hjj_#Xv*W-MWY%p3m1ewhstYTv!{>ss6->FmRU4!!y&3hO z5B%(6MAfa4VxG z1jqp`mAB(W%uxD{YZtjX+}l}iu*>8pU{7y-b@pWvreozd7wG9oD7K|OmYj+-Mr&}D zN5C_r+JIAq@7Y{vi#>iiC4GJi)qrSaC3uS;Z^9)<%jnZB47YaG%g4swCM%*pU!%Ds zUUL#H)x90#cj&z`++I|=^yX|lc-ZV9j&ghy-(BQ5`;u_M=pOKB7b(2tn|Qx`&$)8n zKl7Q(q1*7iTh4wbxiE0})M2WL0KI0#6GxQHZbM3-ZZ`Ekrltyp*T8bNKJ$Scea6{a zeL&puza62x>s_=~^wetJH=wkIg|HZgRZm$_l&G3!U7st}em zj)xQ5fo%P_DBLkknQak>wlMB1&7(Fe@Jf63JvaR1>Q%lX3_jZ^CBLfE(tJIMu%%{g z;&7?XZcb!t#pUrARN;-WGVwtUzrz0i5v4}sRJFR}fIF6fsErAv|F!#u(UM0WhRdv} zS!<|pEcavfji_Fx+n;Y~m znLz#%3`%*$POZExJG)DdWPl;@s6K$e7 znw1q*Rbd<0$_*{)J#vP2iiW5J7_-2<*9CYw78ZracvpKs2NS5@Yk%m?uNklVh(*G) zoyLEyFFD`ZN-0$E!yqn}DSxb5%0lb47;bF6d9Hc?A4TWk$oBfS@gzpA)?P)e*rO6^l-4FnOBF@5wMR+pky9fmMXdxOc8h9j z)Q;8KE3v8zL9NiLQOP+Rhx)zW_fIhLk2L!<*8)L>kHPaV*QD4He+y$0WcW%{3vnG5U>DWXU5{yZ9R=#r}$X z*~@3gPZd>VPtrN8?I7kD&*tk$s+foNmpq@{8MPs~FGnwex$0yHT`6lm9bIi57o(s) zSzlZ_W|{Au41TlqUhbM2mmY}nl3Y3su_0O~u%&q){lBA^P}j3NE`|SW^TSEQrC2XF z{&3!%cRMo(8qes!RI)ZqwFN5$xHQT>(S8~vlr zor}rRuSySeSX%!JAw*&v6>dmpj-)Vbbu%TlOPP!W2n%SLEVP<8{N&Ml&(?{UuH``k zFF!+{XD=>n-RVhm=bW`>N4z+Vr8!wGTDw_p4>wmVm;Pp4Fbr8u{h{M00Qxy6h5jN# zLd+CiuO9j86-xh80MY(NuUUE(o*DbA6b;6zm{C|-9}I~X-m{49^02}?qweoL@S=A4 zGDnNY0gL4bSlnB$>rI(mXf9dMp((fiIIY^ecIVJ z-GlVt?c4+xZrN6B@hk_!l*On@;2hL=atVl)LCXL^=~vpmjf&Qtrnn+A0!;rTRIa!` z>v|DXUvg%`^28YuYIG^!EWL5HO$UxBoIIlU*GZkvM7}RypK?xR;j?t?=oDpHFcEJO z08uNny>oBUTKT&)G!|E%7Y2s80V$fcKombF>nS*QAB@MUJiLSUqnGcSb)-6#Rm0s( zW}pNrT7kdKUDIMn=<6DZe-QE+Tt5-iVQ0E!sr;vex19n;33fd)q{MtaX<0g{P#=sY zh=@S!8*-meR#+M@{cuYdC)U*KbRSnU%^5WGEj722h{2IX$-8!dy*& zn*z0c!^8){8QbMqSFS5%2f2{G!H{PUg+88S9E(b^2QNH68t{Y8`R4o^h{K`U}OnEh@Xte~f@ENac@5RGY_80%XF0KvC{Y zQ~a6?XO8+$fC{n&{j>f*(BO7qmsNHoad@ph__{{t{mv|q{_R0i^@;5?-lSE58Bqan1aZ=rQ_jqXIE>mJ zlIk0l^eu$y?Emgv+&IYT0@??iq_2r;-lsP@eN(<}eMGDKJW0zt=;dO%R;(WH+o>#E z7kPq}6V}E9nHc2Mhp+BOX#7&ikhtID;kh7stM?MiG&<+@C{~%(fzO&LUH!po9wpoV zA*aQ{Q6dWFB%>7Vb&MALV>|_7)+&7UDEF3H^7Tap;uhlGB%73Udbs2PWVPA0C`1ub z1s`rM`an_r_W1s84@!M2x|lJMgp7GrWbj-dLHlnL2;J$av-#on$tq*aFRPWo#w;JW$YMsSaI~vj)Y5d$vOe;{!?v(DT^OWobqc) zKOEt(Vo;LGJX)%o2OSew~@>2mP+tI>Nh>xqADF6Dqj!mu7BOK<$dmyz3YE<8o{-DEOP)zeJc4^>1LWN11 z+&5lwJTS4`imgp%#P;$V@mK#4fb%m?q(5A7__Nrnbd-L~I!eV<>zhjElEgRFK=;e{ z7o=Hkj=vPU>;E9=DZY2`!7P=c5zfZAnh=)Pe6oizxhI2_LB0TBL8>qKFw278*;~QV z(7e5K*Zf>TA-emn*U$!SX1S92DRRdB&6aLCqK58en|nK`zrclHbaO_Zn|QaQOB_3Y zf>m+u?Mh@x%eu03-A(lDpHH~#S-RYiqK_Iq74;UG%~r|Tz^-~8YsW6rZmTY`o;Gwd zVPnJ46K}NQ|MPSC!hjYiU2P_Jy3iK-c;w>X)5L|U@hr3~iD9$*eXt48uk_e4t7-X8 zZ%k%yEi$D9$Yjh1oQKG#$dbb zKsESqueMAaw=tQw8#PNg^6?99Z{fP2(g{(i>oKSM;enGoX7A>VU_Ci?!|(fPjHk`1 zVa~*(!Y(%tqpMb05COjB8C8bsTbguWXA&iv!6{M$@qh6!3!|v0Px=d#t;O7XxEtJ)Ox4UfpJgS2lc&!b8Vxfx` zOM~VYZK8Rp#ens4mwa_^`_#<8#iC9;cjQ{x!NSqgKhl{eqd^lR(AOHpZdF-4h zn{l3?zQRISt@bCtM0ETfQ`22;Pmj?@Es4#8f2$b@uRXDPcWjM8=Y(=RP}S%Soq+}h zY+FgRS9Rh|4U*Y-oqM>r`1~Q!eb|D|p42%}`QoD$Sdo;m&}U+~t^CwT3(_iFxqqrX zS{B=1rv`FFc6uR$Wdo~^=G?|m(AJfruaV0~&wP!y_1v^~H{ThAw?V3Qc%Eg%WHR2Q zuKAEUanNP)ir!+qYMVV37=6za1prHBd^#&R2Lr7drR`g9eE1;?C+^$WQzwqsTx2s< z$Q2{HdJ&9*o3Z)eBp%Juk$;f&{}ooZjaVeKtL+y|Gp`fc7;=t*PTxoYQU zPeLpeN_|TyOjUrjODEnAv6&M}oYV`cQfu83z1L-=G$|KJ7qYt8Fu2U>as{T!PjgyS zyXE8_spJ(%d{!9Y9^%+Mw3umg`mf9h|iC|UUpL>gWDLCjk>!X5yRmz31m)`_j9F1ZL>-2MF83b!{Yj-3pv?wlAPLux=%H zGOL3I${)0j!P(a}7F_oM46!>EUA+`~nuJ-+%K#-kd7^+*SLdm}J8A)fTYID9e?&f) z%j!F8yI59slqm=z{#_S{r^``9oqot5JV+hH-A&QFpt;VJSLU=_ZAXmms6V8XaM(=3 z^P`wahM}>qybXQ2fIrQ`pD4`GmaT^N;rO_$Ka2UN{wT&C?Rf-Uu4^ds8W4%&RR2rU ziViQ8SaRpj0C`!Kq`!3WG8N+c;^>L@=Q~;}mX8pU+e8$IJ{M168&hVoV{r=bDrehs zjmnvJkuTe{veFzl@(Qyxib|mLg^pKV7&(HbPVBjjt9!yMNZxAL(n$X+^W&42aap^F z>Hk1!r2Q3S*EUY}dmxiBOa0;XB~q^X<#i`>m{tOOqAVpIoexHTo5cU@_a@i54nys9 zMk_G2%gI4?IYl3q-=6?9TAMfG+K0BmG=vXtTWH((E3}A@mFUrQoMx#VSVd(Zg5h-Dq8(NkfT;s|AO!#;?9?y&=HXSxXUU=eP~GjL?&G>T$Z~vQmBsgvbZ;zkt1#6EW-tR}qppw<;OL9mIaEfDH@}gi21VP$HZd26sHH(@jwF93)5mhl6pLSB6N1C< z(76)=)?B3~&CedjHm-V!Zf56$?|ztm*KS(f1l*A)La$M#j!-@85l-3MC9;1M#5W^p zMo_;**LCyGl=262rd&SqVl@e^CZOBf5wZs$F^S(smFzBKGv&8Cm=PZLuEw7|`d$y=cPvdy59wGVe5;k}tjKeKISdTP?Qi7- z(luZBgo(s`RgS*I8qWYBbA%35gZbEwSqo}TB%B`gaj*zIf*;!uB>H#yxfnM`IwxHo zI-ZIP-+Xwe)f4;Yle`G>oIyM3%SlWg0a=QZazY_BQ$4U;#GWWX>x;RyYy-+o<|UjE zc=Q*$O9g#YL9JH7?dnb|4t$dxlg(t@h?nf238*&pOERPF!|ZZeKNqMq8KwShG86As zfB~=)LNC{;;}v_fWv5j)O9sNLzx5F@X&tL*bz}5LNRyRXZwy5++uQJmn`^_f1u{=`xniQ4^lUfX`x=8oqTvysE5`wP-Lp~X!dL^*niqGWDq9Q*-ltoHKhsC zeX?AUEcqhOH^>abC}#}_R@zqj81w2H@xv5~cLBu}4*x^iv+62yl8+R**sU#IHyi=7U}&-%uU6*3?L7As+xO3nb5aXxl}uD8;bHH13Bx@n#D z@x#26iQ~5|(@Z#>U1Sl|G|0yA;^|EfyE4jb8BlD6%6Q*n!3i@rRB{W6kt!E}C>qqI za(VG-*%407^3n$DD!#YIFmu!YR8s+%ayDwBs@Y5=&)LT z7tf%GhfP;boY#xi&Vv(Hm+{N3$NrF}ZUlZ^sM9Y%fx%s9U?HN~ThT&W>rsMRQMYa` z=#sJ426?6dS|QfTmSL|%Jsqqh6T4pVDax}aoh_{;0WRwykfrDP>Pu@4p9KRME74&0 zv@01$(`FN4F()D_ByU}+5uX8GcX)qv-`~|KFb5A~mW-5BNkoMtbe@X;4HC})S)q-J z>5eXwVboEzO^#Q3tG0d6#+%MQkJhK>-rreT$I3rRf4KJCWX?@g+Qn1T^2)y{Z?_Pv zVLxiVsrF!(`c_!6yk*kCaI<2+HsV9wV7Y8CbBJz7S&iE}qJi~!yX}DNK9Ab*=N*|1b z#w~(8k=3{Lk<=5>u>}DrcSv}6rx=k*D-Z|FT`dig3qXn9PC`$m+IcCYu!qwWXhOj9 z`*9O()ONH@cwRB6Rb|9K8KR`NvJ?0mlR0rkWaPNUGb(Lrl`+x<;$>iAsUQIhE`&li z!P%2rY@$O&J_d+{sAgFF{uISh)S(N+1k|>>%v@v=RI5Z9z4=Dkly)9e>jJht3Q^ju zOm=y6_M%FHx~4%E=PkC*j_%J%C0Z#5sE!q>bRFgQ1O17Jd*~&W3;S3{7iY{`BlKQE3;#SVvdV@1BP!_B)_yhL(@G#)OgO?F)*i8X|L?FugZ zb75LPTLT7&0Q`@QgVFXwCtkGO4mJQBT%+ARao#|T=6!a~^syUseU^Fs z#*OW4HA=Xu*B*XFW@6LTtYU{|;~|&T$+59{!?c_Qq-2q_W7!57+H*R$EuCr;1%e*6{|H8jm$UCjV}Ne|w8XE35( z?`fq*9;SLYCq!~j?MTPUQTjNuPD@hk?g&8c`hHcrkq?&Q zr7qnLD};j$2IqbqH+Ab>Wt#eUx4@+@1*rvgtV-OMFJ|{FR$zQrK6>G@fqE@oUy0Pz zA-_ml8e>ubl6=?QPD0OV$e9jO7IX3>QSg4`g31*U)vwy+NNo8;Lk8cEpW zui;_q^YJN=m6osuK)Mp2P)^BMk@CRbfAX}0E;dP!8oqAHzEF&olo|koSmntSsZ~O*HV9?(KL>Uo3hK zBp9;m#A`WR2xjhJxnx;zQX7!t%tKmTa-FYEBX^SIeSou>kSV(m?A#KYRP*dO^otQx zDBg1-lpi@==>GQo=bxPQkK}DEK7aW6?JsX7E}h!tWd_KtGaL20g!+0r?!ztV5vmI( zvQHVt(eX)gL1y^*QRbh9n;r!d?riE&(4<-AJs^VM2%Oi2$IV84{$l@1{_wqHkYsb( z)EjQZj5C+O`K4@@y6nLRLqWKsld!@NJM|Yw#HeQ7^T-o1r?L(1jWdaG7jAAO8c1JJ39zJW1KoFF5fQuhW1w zv2?zouOkD4rC;PlpqooY-Wavi^jg_E+BrEFcPS>|UGofw7kJqaYd2z{%U zQ_G2J4-A5{UD_ev6`#Zo+k!<(Uo+=D7||S@h?-QJs;vn7_&-ohW*JGWk5+s#)lWVf zlk!V6y7+|ZjW-Pr|5J?sCOn1g7pFQ76oNioC0opt{E>J@nTC|kf(?4SaNzI{^Ks=n zD&GQab%HBs6W43=p$vGBPU=$VXAi8Z+m4OR?3lsmg^FMz%vemr3DtP~(3RTp#aDR* z!7-Lwt;q5u%kdbBzu?n7wz#4v8~9?2l)Dm<47=T7Nc=E;pCil|f>p8(o2#?gFSoI0 zw&a9bC?0;Xg**W;nyM?6p+>@u>bzCYc3X{63j0tWyu(#=RyfgJ@y<^t7~{sYphMWy znFCm+X5`Ce^FFX9HyAB&(Y|bL;RZ-s_lS3a4WpkH!)eg>%ELHDeJ7MY+zA5F!y z*lFh1U5966Jpm5LLT!5PCj7VY>S}2dOS<|ZyPUo+VmoWW+sTS=XYG9V*2lOsx%vb; zElR}FKVjoAzZ9@Kg*(p#zh+z9`YLvh%YO03Fk$Xa^Pf73_Mu5uq*U;Ai5@1Vt&vo* zPa({dU>~i!CXMfyT%SF8{>+ZIf0?5#J>{YdL&Ts{&kgwMLVofQ*ZxS=S-k4X-cZwF zQBGs_tERbIoa&R@%817UTwsKAHQq8Z!bgZuBb$%xzVQO-yJ*$X%{vZ4v-g8PJmjVT z0FCw>Zt+lS70b5qj4WMgv7l#DMc~uplY3iYRIKx=9TS&Rp}bt#6@3SntLAMj7IP?| zr)vDE?BiiCSHVHH36^gGX&V{w%TOdNIjqFH^_Gi=Gwk#h#hsxMo5*PWY#LR!X6O+I4oI~hg{ zb#k}%wT~Iz$p8yoF|$(pFcliE1b--Wzj)J_5#q& ze$&BicS6(ezxEBzhkz9lOLHr^gr*-%z?Mwq#!8g?@kkdc$&EP;@dE>N=g$CSy>KT+ zIs;RqJ?i3EqZD|Rus(&iEeW76-(5hmAnYwcvrN-qKI-`NoN*{OPV343fw~B~y(@R= zDWbqqdK`3B_VhE@PHiIk)P9N|Np70B^et6dD{8)2(f3&liQs$Us4f;x0vn6Cvy+!C zxd?|gbgkeU^I46k%sg{3RMuTa*D;A)6Yc%?!z8Ri+3an|!GfyC9JIhx*%ENrY#9-? z!^i$mVfxt%zl=ojBP9W`U5%43JfMS2JZhKbMfSv1_{=AM)TUoT2!Nxc1yYy$;+t*W zMP3{n3XEV54Px;5rIZ8{9vDnbY6qJ{(M&;W=hmF>%~^Os_r6!x(<5sg)?4o}`>j}M7F;FI=K`cdwMqL&_~ zv@m8~t^$`SX+YKG(;Ho`WYCFC<(DV{5*XXhCK<%J^{C8!&nz#9 z&8lL%Y5TlQ(S^X+chR|TV^ljUIqU{>gWIeOnnl%yjfF0BW(z9#FZyvPaD7)C&@;IB z8MMhWg$=$r#?>+B!d7F+qo<=!uqbQmFHR3|yjbfpvO)KRgzoc4o_?Nu8*yjHM3dq*zm4LfqL@yn7ReKnp zfQ0i4a7WI%rv{7)+zZUnepxB?-#DIMSagwItU*=l<^rC?Gz*bj2x&#?>@65>etB?8 zE6*UbmDfvXt8m&HsrEx&QYXLXQRt77M}`rz%yrRHC9!x{#5i4#U>!*p6u~sZ5fQ%& zIp)syck4VJ(Q;Ey9KctMgH{~)do$h$Z8@d4N~hjfOY<4J1ZMV*9=insbm^iGBRV7T zbHJJ_NEVh>-QDe@@VMw9*XSw<^co$r4aAvR%#JVeVp)6AkJvp!Lz!)}sGn2*QEM9$W!5|Dl5XUPI-@2u1IXlc8Yr7ZfG zAGjM#dE4*9<+(By$WiZ;4D)7^%eP~`PrBFW$7bbkqatw2WpPDrrG-UQ-ooBFZjUnF zzl9Zm0R7{G%RuW2U2b~h-jj8v>vUD--K2-z{KF8|Xpl4TT~yI}8^B3(rr;F?UlCN^ zEOfAYV=X=nsTh(wQlf=UOn?(b@cauZAeg58ay_g`i!JxWiQK|9?weslep{tFg0<6w z0wM<%?IlRJ6D5NlQj-moM}K{91RT9nyUe@d|5GN#F>N z@i*Eka_Q2q$o8fX%R@VGco=bBbuvpl%=Y5UqO7q<`L=$Q&H5@Y15&>ro}BFuu})ul z+Nt=anG8x9E@S&EMR}%dQ8Pvkc2< z6P?zP#5G36eti?=yyl8(LRDJK#nPaC?%!DCBmzIB6-w>iLCpQh(D9~cncyhaXq{t{1{ zr&HN>E(qV}is5{+*`+H1gf0N--=jXBiLfi|n=-)U$sZ~VH(V$N6q+MdmQj6Af~sBr z(GM>M5&c^8g6^P4IuXRxto)N7$cZHR4#}S^l{s7KM$3P7DvEH;LfTu~Y{hke)ph$L z_>NwqY`=AN*D^D*p|`(zuuqfgtg0MF0FCJIE}N^EUh5UJNBVe^QrDpPz^cNwbhoK1 z`oskB5Pv2MU6fD8{?EOJDAGYb=;Pq5AmeP6npD&~Q#i@|YAtIA;DFiWj!W2Ue{sne zLvQVeL1s>0DSL>>l24|uD**A4*G$S=+IH@Q;P!^M^D~n8*q@$>GkJ>U`EN?037Q)r zjx-`r_3BbWNK7iL`90f8GY{2*Kd?F{dBa~Czzxezdo8=3R>;pTDKd2oJbn-<+$rfB zuwPK)6c~1TK53L?_@wh{5I=B!i2jNn+ie}Ywq##@U+lp;*RQNI>Y&9B!!LcpoTH-( zRV<*t+%%kN#ZOi*wtcYbc{VL{{7r3BkyYT&-+w(#fNwu%l1wGaI zO)O=aO=trpt@u06iABWxo`V`giF*&pjPYV_jSFx~nb`i={%p$zkU6W9nY4}FLrVd> zC5ufpd^4aln=VuMkN+eAAXSeppF#aNK-5GjdCOF#dzQ`4U-cB6mp?W}s}18dAy8#2 z`>1{K%w)ienQ3kCL=KsIZr9ms2SwO?6MMmM2zH*VV^~PE{30KS2!Qg6s)(Ow1Xdh! z)6mrgES;SIeig|hRPKoh+W>i^cY!v}N9v7crEOdN34v(}bGouMQ{4EcJ$=*R??X{l zUQzK;uUR-7W|3*t8GJ1dg)I`V#Ow*F+?bHe$4)_6FcsGQuDJXf6X#y z$&f#G&**9(rwk70Y%gX^)!y-&SKN2pc!l8teZx8QOiH|Tj#9OUh>UBSd2=k~%0$HV zYdA!BMzyqq5Yyjy)>Z=cH*?|UTInbzr3VXmRux^bJA1?K*)fta5TQ=|u-R;Ho@$V9 z%2Qm+sQ1X31rvjfnWv(qxpQ>FFe+q8k!Ak&0x#QDwT05f;r+spCX$lmqIb6Z<#_o| zwZUB+=YLMo{aRqBxqqN4kY4ksJXJmxc9}PevCk9!{r3s>yOM)N$h-(}9b?__@!`7l zdqO8yE)ekm1;wR|`^OGl*_y1I#9WA>8J|nBj)@@(?X9+El*b@TZ@Y~}gZIa>D$9Gh zD$t+7{_n?q5gWecnwtX>lOK)j6Ao^psV>}-!+my|#UQsOtI)r$T-9EOVyRHCi2~mz zfge?K$Jac%=?h=nD&tb}VWN)itYZdysgWcgoEbvBMYVXxk0Q{Doy;%t$F>+*0Df)r z5s+s1ooup9xjkCydypB~FPkx8L9beZf6UB=-_HdB(_vZba9)dKccp6?y?JK)0H|^- zGkH%R4#Z`z-Y!)*-1}uD*3rH6@pho<(P8I;B%v8}IK(VDCjE%uVrg0)`nMLC__}w> zL$9q=>>4g%cH?~3qCNG-+_GTGAt!Wnh)0Py;)uKt;2U(eqo4 z_Q9vFOZ1I0MtcG%r^P@=VYg{V;{Z8{Y27iXp8)u7utK(rG~U8RRQmZ}TMF(|=>Vcg zx}mq@#CsY06chzafoI!4;3uWw-55AO6s|_W*uOeZKb?ZbpBXN^Shy6A`kCz#4boP# zcYZ~H-DtJF`O8HhzboI>wI4U68fLb|cOd)HGIKxLoViu8lJoSOs+EA&F86$c*td_F zWEoqrQhS+uOC*7>wCMowbTug9aNc+wUgRDLACT_;PK5D_!1n2RWU+05>#A~Vgs&_I zSo|-XZ!fF$Yj4dvtK?r26Zl9*!)GK?6slnrpoNHO1VK|djUn*CguQa2 z{NJ{Pw74S4mH2}#KsjckP)z^ArIA`lmbdVkDch!^c0!N(T6HK&A9&JcF18&S@o=W% zWC`Ia&p(~#mfsWVUO0b8mK=QauXbYR-vfG;mk8t|K`YocpyKt_ZTJF(W%ab)XlA8> z9+jwqM!7*}{aoc6*VlEF(^BcAQedZXsHKOy|FLieeYR4Le8F!hp zpl{NBq9wa6GgRW<;@hg26tH3kR|K{*Kn}8d(pAhVaJMn87R)a+;~zFzg$q>LSy-JB z)AT#lpHRHX?>nL;Q&~|qg<|{Fp0;E@!wUPE|Nh?kTrl8%VN6_D6N)nrhQd)1gs)DS z!ol4wFQBXmYxZC?;)f!5%%`kjyCvQOTSDHm(mzOK2hn$9q1^&NNt|DrR3 zpFNy3n4N~iD#*6i_o>3LlTGE5jPGhKX!WVV)KNt+>T4$(GVtAZA{ZTx%|V_vI=iQi{N3;_f=Y;Kn?6R)5i1Um9I(nG5p~yk zMg$UH^>h(YLQhJfJ9##O`0`C=yQU!;Tz_5alVbi+$bFP9<81KlvuvthyCr+D!Lc4p zeP2E&SeHo*qn}vG>0MOs+nx?oCM~jA-uKO~W}8sBti$^#Tzi2$onnbx<07#G&XDZi zf*C85Ey3SuCC~1&YyA0TqwOOQdSr6KJyY0+GvZFVi^^v-S}zVh^n31!nO2V$WML3E z89eaN8F6LowN1oV_X#M$R-{r2Q=v^%$RiZc7 zT&`s4&fbl_v%f85uUV8m z=Wt@)xKVyrWYU= z4mI1{HBN%810+Qp1Ek{}o*7ojHwACb+kGRKxAeZ}`gJ1Gle*XKpHhj-=n0vu0{xB# z?t6H*4^-WaPQ-3?w)1uhG-;Xm@Yklsc>Id9&hNeD@-eJ4#DODS6!8x`b6QJK3;wFi zlI{s=Ku`59q=O#s6X}ub&jk3nFH2k1&=*CPulT>}?2PEa&ue`X)^Etgunn@^#W3f> zW*R^S7MBt4Sl2`|Csgk(xheS}Q4Q*X!pdUOC6xwzfV7y;%>zBQ=;u?g>iiN%!+FPl zvQ!QA`1J8x*gq#dv&=Wm((;1TQ^mB?QZ7p4*R4xO(4EVj{gwQ>YE9y$p+-FBoEWdj zZn9^v!XyrAK1Mu3*D~!NjUUgrf;#C{syc6_Ne(1pIpRf3hV)Il^r}3OaN%izJ^h=Z zfPIuzg{l{}BZPQ0?ma3`%8LDWvlQ5!^yVm#YX)ge!gzC#YG}hSzPjn5r)~R0662(4 z0)=Wz7p5#Vsd#H@f4-1R0(d}N9|u_84`-)&$&I|HqzicoX}jI%-dfH3Y~+wPuLC62 z>=pN1=d9E=N+$dB-4L#}Z9=D&@|FbWxFz16m)lGsEW;%H_MYNz!{RwhF{HH^BA0S` zKjOaeFrrI68s#XKZU?Bv3h%mEZBlCwGLXo%isLAk)NM++i^JOR+`#Gg5|)=I^oi6; zPM_r$*@`ylary+jfBYx3oD+e(@4T9!TQQlat$B0A$F6>|Ur8DCgX{hdKCZw#lQ-`= zJnluX+UV{C?76Ls=mo$Z7?T+kyk87@oBMW5-vGr@)9b!8J=Mu>Oyz(+Q~7Xj_%XYB z2oDTkl*)?sk~G++J`;O1J1EG+BO96=syNfD?>}65FE;_JRXCBfJc;(R|BX!#H;`Ks z$$#G&K_SceWbSgAb~ow>a)B!Zt84=>9Y6}pe`Qa)J3toWy0R^W!MhKJPQ%&6H*UkFrc=9C=WPNatk&3OsDzepN zH8N}eO!q#$wiNwoM9e($D07`f%$7(htK_pZJODi~6^q5km0FjzT3v5lYQ3bhEjs?wrt)vADeDL4A#P8Kb@wLvOai-ah~-Y z$E`9WJh}oDvY*s=Fw-BjjF*Rvk!I9eZ~o9uzxiNcbYD-G1N>lLpu~x!bBPXLu=)4i z#c$%M%DbIrRGF*WyFxrTu?Zn$Lv$--O=F^5Qlxy26 zk#&|cgr$VM&Xjx7r=v0fb+H7Ya$NE4`&_Mnda)4YX{|A{k3M;e7VlfDY52ILiM( zpZ3PC`0FOk{5u%we&P0Iig?SC^;MWn|8P|D6E>^uf&NK*D;afTWtT4rX#gti_Kn8n zz4atyd+DUm6lz}`QXraU8UT4egu$lfJl@Q9&=3G?edH|KPWoC#+;3ECpwe)kTVz9qB@2v%1YniE@9r~ua>5eJnummJV<1Qhs=8L|#nO`L3b->phk zmoX!VSp4Kg0KVOa-jDJtX*nj9g8Q`{IuP=eIiB%e{kD)M>bZVf!@-psF!Uraq#_2uKK9GV|y1P86!ZIONc$1z6iQsvd5w( zE_$ST?`#g9lKe+Z9JX%H#dC>$%Xwh*ZwpY5LgCY%&OqO6z3O!4{u!-XUx^($D(YX; z+#<1Ek2Jy(u|RR~O;+-Ia&L4s3O6tMqC01oYW+0RQ|lf*@7Q>?{4;1fva_4t1a~qR z<$U%N(nAy*PjT}8GvS}NrQEexTCU*$$_TnGU~jCcnK(=aP@F|fLHs%t*bNbs-n2hhr@34@;^VjtZ(D5`g>wOLD&9~S8LAIPBDATcd6$fCTZ06W$3guywZ4302!HHXS5u6sc13j8* zK@~+14Zt$V1G!#5+xY}p^wEdpFU>lCTRd#(d+WpY8RF*T+b%EOFwjXhxRO=f$Ercb zf4P@f5w<+wdvhEe4JJw?#5!zpp;cz2vMTu}M>s44(GS;XM6L?Ir(Ky@1Mgn&`I@Ut zd)l!LLBIl_Tg^~A#5V$6d`gR=YNO`*gR^i$@(|7t3~ zNCx~TEUl{VKG>GF&2Mggj=E)Q<{yY5&S%xnS{> zdb4W~WPBMh=uJP%V^-hu&Mj1IuA7m)Ha;z+r}pB$7rp8_gx$R!EYUrI5`TVq#Z4Lc zjC3lstUPk{dw?;QQ)sy{_}M++Eo!}RMHK25|9fl254ZXU>B>K(_HaqY5N)!s5n z8~6~NWHtBoYMYf>$K2^znujKGFZqdeiYdQ4kF)!4%ov<%CCB)G{*iz|8V>t;*nhZ!a1%KYrMP!q{{EI zX}rOq_sOF_RgW)mkl~|t=_T%U6Y4zR8M0;@WR9r5S9t){UnROC(~31wUws}BIcn?N z6=xJ)yR*vF!;)$it=|wiZ;T8R&4Q&@xYae^3mKMWh_h^Nh`olqJ)r<<2z$h^#!~B2 zJ&ft7Y$YNXX18-6@sh@s$>6QyutgBPxQ-s|#uN9~{zX>9SsRzw1S@ zGX5j={T3Y`8|G%jQv2l%&kc2M_Wh8urV-VPgEw_49@m`Q8-IOie&&{COUAm(%`anHBaxu+inl`!% zWG-q8Jkx~&KBLC=)uBa??c}C^eBX59)O@Fu*!4_SHU-pDvPL(rOdIFADn2`MY@#o()|@kn}aR_$r^ zEHmucDJx~RTD(TSV{~`D?(a!CH>l+;h7=S ztxmq%*WLEB_wrx;uzsh)zUUk#EN;iNh_uE)`Aj8-TLcLAsTW&Siac*;q35aw2fXaP zBDr*;02lxup}ySD$60cLA9*1+XGz7JWn}XEjtsrx_@kxdD*p+ zGky$vTeOYpSwjt9-`@yJ;tYWSFO=4{tZV(5C*cn)25HhcQ!d3Px5aI@lQ zP>`}cbGH8#lNq^I%O$Ye^Gbf7P zpZ%YW_jh4$7#1_cbKsj7xMv70>e9-3f1XdLbLU0I=9xms@l!e1MdaL}HkrW>HTws~ z?KsL^hd5r`+me(s)%nkI|4W!_uwn=A{Vmmbx5!n1?xwmQ8XYXo18qLZLs}md6zm-| zj-AC}nj3$5rZi6kal3f~hV$$Tnf-5*R;+X6KVx1RUR@0ES>zWvm)#qUcV|X+N+AlM za*m#z{)12GzL|<4;Um<@K%1#UtS^d_B52q@h+&0k;u!S;id5y>${BRen)g0xbl_a2LF;t zi%=GGv_&Mr>K1%J3N|`6p*i|vTtlZ$iHS=Qq9NUx;^Rd0DL+C~^Dy1i*_(G|H)v5S z*@LI#WY)8+1RyJH zU|L*y+d9E!fw!Q0ronWzdBzx8;HNva3R1pUl~L(Vo++GUo{uba3WWy5A*cqKF|nLh zz|C4bG|dsCE7btHiA?PvIR&Q6Mu;R$eZ7Xa&S|UjN#~dh`7!@1^Eq~?UU**Lx&o2NC|Dz`R>MJrJo-yhE=jYsN)w_n-4P4hO{Cs>!W*f zSeZ)~ig_1BTSbXite@VKAfttx{l6Vg_NHNQg}Fs~m7GyIa-U)EhjpT6&3S>DNKr3v zE>%bC=VEeS$#klW+kUW=a_2ST6!>-7x&_tm{*dSWW^_kFtCw^}L%m!FcfNslGQhof z(DnZRC_2x0HrGFl$KG3w+Qh0*t466k5~Ea6irT9rF&aYm;joL`Dfqm@6HN_#n2iKW2H%*IB}bd6LGTueaVJ|SM#n4L`Toq4a*KY= zqpNwVh2q0>22%wU%sS86(+cAMVC+(U_3p5%L*qoR`WB zhM>hfteJTk`>%|0-8XYK+!A4=W|~EUVk}G_oDDQBTGW-Km}pWD=FDbtr>bkogh_d8tt9Mtnhm zPX%G7_i@0`22#^nJoSx4yf@-*#Kkw70#NnNQpG`l%VK*=CV5iOIdl*IXE7u1=+#}f1QxVqYD1%X<&NE02u zf56o-P#il&QEOq96Iby@eSAap(sgwoU4#Gj2jmNr=ql1KdIVRLN5{LWEJt#D9O3^B zgbJq?6E#9!m3(8A5zk|}#Csv{cAdTdbm5YscU;AcZO+>R)Biw9qpR~L1Ch6H$SN{N z`xn}58IB$0bQ$n9ge#6weUK>J_ksZ|6UYGvrdl{`Xd?DytIt?O>?|;+ezIm4oTxMD zoVdaxnBhSdjD!sPx%WKS<@-i>P{x&FOK+0AChR&&Hxz&)tw0^PUQ^<~$Skh>0r6;_ zTXmFP-urgJRxdzZe#}^XtAmGyd*E{pPG;*x(EG~sm%9b}3P^&X&Rs$tki$+Z-9H=& za#~xJE#HYL$M)+la!-qX8=?$w+v|IUlTi2Vu(*Js8ePoRYPm2>FgCiBCOp_S?hmL@ z@buRm7GDHhdk~*~wp&!AiC??hye>LyPlUWm)QF@yuJLU|_d-zgo zC^2BWa3W}y5_LJBqdqA6_di#Q;Xon}@@X)LMnf`PBXbl<)_EI8hGcY6-EKm5t>)+$ z$d?w0N4a?n0C-uy!0rJh_e)>Gyf02Qv}bjo;QJ~bL>(0PI$Wgooh-H)p6}coZF9!6 zlS|W8jiUbx6-A)ZFZI9Gd52hbvbv&9Z5~r=5+x1*t_qUszJ$tFS5E%!Q|EKYo@Skc zg>oz>Wr4X`t#FuwHTZO6-T|~L50adZ6j9X#`QO&LdnT`HE!~QK`=Y(ryF}C1Y1`@z zyNAE&lSlW84F@^ps3**tEq;0+rN+bQ1}D7Q3`H99n+2|WD~RB=+Q zCDIuJs-tVm5X{>%=}1bT;FbEvA037+$a}yjxW@P~DUtOqLR1^vQQ_z;1#hbJek8cU zoKc3|3^OE9`57XV9Jqn3^!+?lQwcnUVJ&IJVm*-X@iVD+75Kc=8G;WC(9b{kV;=Fh+Gy9)brJQt7Q24rUQqEjtLkr{!>>7Eqo6s*}XV2`dgUGnm34fT>as#7K*l{yPw_CdA`AyweVBZV-$_PQ93gEC1wn%^fi#}RcoKMGJ2G~V6ngKni7 zBC?wZt{G5Q@%{}F4ZE{<f#HC=~1Nsa0%)jLG>7{+I}FfANf8%)mwA1&qj{$uBGRpkH=2D1N* z{!XS7>ZJNcgKI)WA@4MXL$*nm%T#kU;5;-IBAAe>#J)j`*(?xWeyGkh_D*fYb&&cJ zuafwU{2r-0G-c4Td??7$iBcfao=nO?J&Plfykxq7U3ljs-4R9oAJ3@wE-MmI;GSn& zc$uiB-Slm)sk*t*a6UES02*pi%WhNHj#A4GH((*QSn7WIHt3DySi&5tVk~de_QoZO z6;b6Bp`Q`51yMqwki~fu@~|Xj>nAun&^xPV7Jl{CG8so$uoOS9Fx!e@p8|~rPUxmL z7B9;=S1(Cq^SjjKwy?fMuZI8ogA6j|BkCF5hCNVZ z62w^c>O9%RF1oVTHBD!zsu+ShOrZz+4M%+HOkliH(?m;{PtGo=^Cfb1eC&z%^Z$FK zK40-4c&bf-v);>c2w<1xp2I>U9Hwl*L4`cf?$Iux7YhB;AgFjW>sQBqa2oRZTEN4n zovkIimLFD)BY7e7H;nX-UmTui9)M!Zp9b!@)xX?s$N06c#7@5v*GLEeoWWK6+u*oE zDqu&<2h9~{B^#=!xEiAaMpiv-T9xQYewC3z1_T=e4qhtueSwXrg#&g3TaN)|{VdYG zs~ue2F@?V}LkZNPi4I?XqrdzvglqIhNoiCvI0dkpmk1uo(Z*t9Vlx+(HX_BWSy zygBVzcyTLk0zIKk*^9!S?RP>AXiMvCexyr+bxf0U5pAF*nr=?W==M3{`k3r`b>0kDm8M(di+Jfq<_PUv@NJ?1r|| z@~7bK6kki9pzL{*^^dgwad!MLxX$fHo29t_WetkBm)WfQ$md;op;gDYCr@l6XJ{7+ zCQ!vZ@7!7c3Eoy9!zOiW{6=Zjcj+`}#phq={WkIWpnu*)*~wQWjp`;rw96mqt`w51 zFx1~xA&V5;3qPwIlFS}Oj%tzIC)=)OuBOc`xP^Bi;!zfwCdf1MR!RnWl!)#Q1AIoA zY2fHY=<8@Z&B%aSKdgqkUQ~%tRtk-JrJNm=-!>-HfQfnHr2F0Nk%w-lq}6dP8|4h{ zYmb(E=+bMHK|9G_yvZ^s329lW8IAY5(XNcEud`~3Hf!9q^SL?b!tO@(jZRTLKK)@L z6+2r~!4Tr#%t9AEq*^@Ej5?LJHagaAbODQcSUP%~ma1}a(+bxSRzT)l6 zi~A>W>n&qyLMyl^A3|2PDvTMlBvle9k-g=#wGM}TZ>P4CLP|>AI3Czyyz+OXDu~uG zTs7bsQi^R`7)WW$ID3#7(@{B7svobN>oqC%F9$jFyJ`TH2Pu9b2pK8p42}}Keqxn7 zk`>2^gQxt$uRe&X2_bu8npHPmXJ3?no*!sJnn&>5ZiCX7n^{uHdVRR* zGv3=->jCjE)jqy3oC%jurXV0+`BO-P{pt! z_AAi4WPW$_V9JDRShdw!L$fH;PE1cwgNXBVN9tHSZ>N^q!ORo)@J`h-H*ZO0J7nor z9*QXgGoZho>SqD^Pi_kz^qvVur+xPi$Rr)An43wcRNAa5ptYRtkfIG!r30y|5XUst zTw&Ch!Yp1jdD}HZ)rO%|5LfxW3#wPe7jRkok)jK1&`9NHib)~UDQN4~%C4veySQpu zr-Z15DOD*-yPYLSZysWd@aB*lj}%a|x(-YDv~}+OUoBlWyU<}a`(IQBT)kyV(wdAd z7XPsNyexx?xQxkpa2>5lQPK~_+)G*6?WuA^x+m{UrN3Q~PKO=TU>WCZPJtU`vE`uh z%xF~H;t#-8>bhJsh6fCwsjzF^3#xP_Qt+!+KIbwPYI{45AUu3kjyn6bXQx-CpPX-& zm#Xoe)sQ%O=W;$pzc-I~S1)1{1|U-4)sgK_+c4|Xxi0mgt%WK>P5uGM+YZ1XaYU^v zQn*5nTAKq~>1{jTZ7rTui|#F24^)g)kBK~jnk#EjLc+9mQR=d=EnK(FFUhYdn`_Q` zF>kyxDJmn)BUT2j=3$wnUS$yL9Gyo4jZqVokOjIvz4r&3lxb+E!&Bt`0*x8HtH>*J z#a5p=+DNXnHRvOmc0ArPsy3=FXExKM!iwBS#TE*|i~W!a@Uo3A*8sNa<}AEO+Ii?f z5Njldnz{5)Snq#lE-^WZBeRqUNKHh%)t)-lJ?}u-D3dhS{<=S)yX-G@{}u`wFkj{R zoAU4HV9q}+(dltl}+IKpLKuH^EE}PSMmQwU-!9A?c6psybbxMIx`3m*X(P znrwr>5D{cc=cjh7EAGRjx6Bf2rb!0RXn3cOnSs6fcVKGguHrWO4&AgJEQHI z$Oh673all8nS=_XcG?T4x`0o!HL~ftyoXs<6+QuD=8n~*IHhP+F-mzkJvUlBaVyjt62W9`q z4GIc+E_8cZh>9cM^zZZLN@Z5)x1Z6!fIBNj^d@F&lc3(n=*hGfa=_|Z`}Xg$k-@`u z9UCv8<$~vaQ#e};F7`(08o{cw1u*VC-=~{o4J(Th`@GAZR532hq<@A)DTWsDJgMyB zOli6g25;P^&J@hQM&}&fVGYuQd3FM##KhL7VZQHmPcnCBd@L1S_yQa7<+07qf*XB% zfmQSp&~zAN$MjA&y58!WU$@xFA$49J@AE4?c8%<$(<-JpSC{TcZdXWf6K@+Qpj8l4 zI9z#EAF~tWcqP8xT;JODb#{C z;B#)+?8TU4oZmM%`>ovSf;LC5M~yd%QVCAR17|NGEd6R7EOxXv$I+;zU!gR~fiOj_ z_X zp6Gy8Gm775wccNW%Xy`!`slRxGgKC4GoyHxn^QXQD{$IS!V5vRYfHHl6_yw)O5dQ^ z)Qa8~$sD*Nz8ReGY5Qp|cz#lGLQ)0az89^UjwW{HX{I5u zHYhk*Z&i@{vSMFj9tuj6U?Uw74L2}RRm^Wsvigl(SrVJf7M?41u${&J$~9H&i;tj) z#o+$3rSraBOpzmvEFMVaqq%DMb*giI8wN5=U*CpkyKbS>lRr*oXxk}fW;)nubY~q( z^1IgBtqg-zxmN9)L~I^|vfztO`x&e-q2SJNS)kxD_8{KDDW^yQ4h~bxoTFjIHxb6T zVk>XM+$Va3R*QSKlFo;LS5@`fcBBP}35V-4e^#+fnBdHuquN)=* z{7I9#=|zewv3&O?lBrHk?}9U@uoLK-t85QGTH#JbJe2jr_?ODF;l3#6_fX!m#J;r0 z0u`bylzay&{)`DJjS<9tqdsn`BjZZk)D{v*gfBY!UY zF5B2`KH(Bjk%gh?y$WOD#Baeq;inz(rz*1;l|+Nl_MJIu^Vj1N81oWd(n|$M2!mO` z3&&*F#0B=vum@%7AkU7(TV5xxi-}^|`0ht{*H`gH9yd?tB`!D5RdGCf+U`IH(ne3a zf)CHxY>MQ4mc0`cVbl6b5Q?3!umk z#|Kb`VTw8B&5|UeIk8_IEup&~aZ6Gu1_Lr^frF=y?2jV=(1%Ghn61+#x_I;a2ImxR zF1y)GYeisul0Y;Ulmgk(8Xw%Jc2yvlkmKGyx%|~)6zOGB<|kmgk1XTtRfr{A2fb5Z zN@C(FoZX&L{X0EkdS=6_0VmOM*IYN-4A?}&Up5E52HsV5XvrtUz7f5~_!-J_<1yr z+n|`Do#i*2(k;4`|48#pC*62`r0mPGt_9>$)nUQsLN@*o&0_I3W8PvvA#}4b72fkk zh@i!>{oMa$$b8K+g^p)x4_C&8cXXTbXjA7`;P7IPk+tKCSN%+nqof0#T%%L z8dRy#rr6KX+jb?&gA+IYPA1Cvr`GodWV(2CJS9ljuFE4kIT*AhQFQXmrox}rGE}d_ z6icG)GweGiDGyAca?f}D7?`!S=uv86hn{+mVPH6I`b(qH)7O7M&b+-(Xx+DIV?PQZ zbx^mwOQ1|RxgP@Mhnybc2VX|zuv8%MkxCd7A)FGK6RicEG4co z4$BnVy>}oa_0)f*JNcv-geb8LU{@xDipK?Wj%)cqf zd{Am2+fcjbKB(%EQucbu6t!X?^v5)+|iyK}O2ecSjl;Uo`p__au zJRL~;PdIl&R{`nQFC3OpJbPqsCf~55HdD3tNFbO3B}CxnKzwF_2ri#ok#z)@1$JQs z-kl>?Ss)3o)R?zF*rSb`WB!zc6|b*|Tt0Ma*YlR5j#w@z+4}F+^GW@iwrZmSRZM52 zeq`}tta&Qq@|V51CJWuOX6>BB<`BPaw*DPY6a%xyjN$-yDA^ft;+pqIci%OS)5bdtw=xNb90Yy% zB_Yy-X_-OXzj`#sb^<&f6JDyaWBT$ve9=Jv4)#g6jp}Mvue)5Yr&wn*Fl@_b#eKwO+yLfxiX-|;_2-}et{O(I9?sYp~ng>b>w6S zW@I?KTXZ|iT-dksDJs9M)%%ZUz**fN^b}}VC8gU%Y<267qm6aZ1tKSza&)DP!BdAM z@$zaQ3(NQl#UykYuqwGdX0z>`bQcilOi02GcH16=c+r~!Zy^Vhj)~!bz?5l^dmH_- zi+B@Y^276OW`;YPypwdFW<3|Dd5Xlo-@XBC)N)Et2{slFoVQ0g8nEZ6Go#un~+lxTZK`(w3l@?YAfIBk2J zzyN*egs{G;-v|*j{V`x(yr$L*IY3P`EX+No29bYjLDWcP?y%!9~s2fHIb5_{glZ>>^mT$)q{8T)anw6 z2~Q%kjnIizJl2PK%Z(#aUUCnuC``Yl8J=9G<;@V4+A?bkdbK^CFZ zXO_OIFKF?&ZP4|u@3~fHFu^Nz z_Wao&kace)Y7Y*wk6Qlu(^=Xwkc{B-$;B6jvuXry>3CH_zG^(q9? z{7Fg(Sl zE5-mVJstp*fq38EuE`H$?yTVg7!GPhl35YbWC8elydiiF<}a#>t|QVLuN}+jxjP3? zf$@PRM!%L<)CNe4^@{u07QSO=ZVpQwrjX7rQ5gso>siHmTx>N=;oCT}U&g0b1 zt0sNb-Db9Bu#kDlk5iU!gJ}VPwI(k`o)l#LRpp9 z)8eCJ-8f!E72_*Etb_76uf%NLZPy#)!r^~F(H4iGy`OP$a?}d`fieoG9fCXQzR5}E zXJ@itF4EPH)E)1NZQVmqp>Maf>^CXZ=%B#hla%EV;(N^*rF$gbK-(7%&#^Y8AP-xR z!@+K5Tk9*&JXLkHmZp@})G=-WK@;1n^(g8n88lH``B+EoV^_E4JuG%hGvEs@KTn0D zb6uVxgpIT#)=l;L+Uhq`@^yzK*XSWAH;v3GNoGayz42wb>h(LXiI2iihgIwo=XP^j zpQKt+#*Cw|dEH-iJ^*xO@Au8Lr`A{&2X= zF{mnbxCbc92tEb@Tr}NEsfqGhnRVtIFi*R^_swPA{4Arftnvx!W=#n!N}*oWCBJ;S z5xOST>FbLwaPb}t>Y|sw*7E??I6)8=wxym_$eQkSd68MHI6#0(agD>%q-f1^ex+=J z#&eH>!W{^m35^_QeJLTm9Hl9pK5~0xuATi=)I{0#oxkR&()JP`1S%Is0Z^FA*__%wH=2L<7m)X2vJ9%1UMohr6c|Ia)Stv%Em7O1J^b)m4BUnWn zQ&8+(EL9L;niAaTyL9zN9gGnA19}eVH#7gOV$t(?VD)pww?tmJc-x<=y~$lKT#{vj zo}%Z9o(%102GXj}8$P}(-!aHRoQ#8!bZvtgpGmK+>ZcKX3Mi+S6c?nlfyi~1=);=g z{UXZz^l3OankqVl?R@q~;tIT(_X)s}d^j(CQFPEzWJx!aJ}v#KTUEJpZ!!Yys2kb8 zy{@lJ_nhuC?)}@vyy{j7Dd%nHO_U2<72=7vk<%4M=(LaN%F%`BlDkJv(7d5s81kd& zg!nJEu|MzsuA_?B-i;5SQrwF6%Sx>6h5KX7j6ZH>)selQCWjdH^B)OsGl{wt-`}fZ zQOQVV?h^UDJssh5uC^P_IN&|CyLTzanmbNT6Xqr9Z%)YF+2Z>)SbHkm`mp5U|!xZ<=RkV zUtZU^u(WPp<~JE{;uTro{COncPnP+%&@Z!Odt;j01{dX>SvT9dtnOHRZVahU08a9M z{Za?*U!r|mv%2xr0wLuSoVev-%>K;SmNX!kh8y_aM-5O z^#@dsF=Rh@rk_;=>K*=GB@j;K-8+*P+&tOXp&h<2HbDU-j6H16z0jqPpC$DFkXGyvuW+FF#doRNLuR$Cnz1= z4mqI_UWrGR`6Fe;(?PLJp}bAQy!Tf91cY^%L?+|jRqg3?p)oc+z$-~~fMs>g3S>cE z7oI7GD$wDU?}EHh1Qk!zUwbqG^k@!@l(X=@(<{F8b=6MFIQse74&}jN3W5rpRmFS# z=fRb;PvSLA(cn^}*0&LdgP`FT6Om!&43S1`pup@U*$N>}&=bIQOylya=^+U| zm99xP+8l*wt(7+DWaN(u0>>5z-Z1H(FZx&6?Zzq&KrSpm z6q0c$zY7GVLdA-?+Ogb~KVRjV2~6Z%D47Z25|XG{oD`2NGHUL;EO_14nlqLT=92xd zCa|OF+Tb4$^>iVkZ|4^1?t6GcW{_}D*kqHV6THCrtO3{GV^e&(YE9bHGS{L2H%tDo zdCUBKYe@pZW{=My(@K9Y$@j%!nRh;&OV0u@gAkN)s!bBNyNc<}+htOWSdIHk9=Sh; z+=TyZSdmpQ;6$>&>Gg{~*v2b0CsaG*vAxlC%GxYiheE766|Gc{KC+66S;0!-Fde zl0kk7lOc=8!%~*&CS&MmpNSLGGj1YvUc8MbqM>4Fj|lpdNY7o%XEFZ>T0c64>yocq zrXd1TlALbA#hYu_^py?sl0l91KJif)hb$ylp99~CrxaEzZ@h?-^X#cEUaQ05BdIuV zPe2U#d+lppHoQ)?23wd&?!xru#12KeV5yqNzh({Y8dfnXZgwU}ZdqdXbA)Z$dcO9U zB(%VSic{%i-P>Q9UG+CwgWR+IT)G^nBjxr<3T{xJCzkN~HN-mjZKFgE^KCw`7fQnA z{^RDsu>DUnr-$A)|Nd+UZ@)!Ih&T16JU3D{gF^Ja)A+iS7T02TWjYe=7?!b48!CL? zMbt=qSHkFu(Ch%}FcK`36;B7>!Z=?%=VApo@d*nYl3#Zz2~qcVx4~!wZo(v@X;rl~ zod5m}D|qbp+y>mDwAW|mL;;U~wKulW2G<--u}4A2`xUX<6Ii+TDeL-A%u&y$C}Fj1 zgs?CHDwiFvu|ww#4rGrSIu;RzYo>Wlytd=Y)tYSv^!RPsV17@&GQq*hx;)D0l3f{% z({CN**Qo_UE6+b(oe41L7$}*md`2LUKE5v^XWk)9?wJQ5BBQ_3-)yXh<98=3%%@Zg z*gEj!l0$XAsZuy%>MQ>}S4)4k-v5TP1w~jB#WtiOSM-zJUxBO@(iAz(A@h|bgqD#M z6aNkZX^C;f%cY5|GokWWTgQNx3b8V4*JK!i>y)t4C8uxWa;)&3Wmj>oYoaY~5vpGsxg=V4u!uSjDpW9+}C3yfxg4>-r=r zfR%MFJev4)`>=`Y?r}`1UO#L0@s+&XzDT+Sa%vACx`c-EB&STd4hviPIT5*9j~j*-@)_q1 zav+|kg=vB#_bhEeuN2{<<@!tDm>21{0xmx1_#ak8pRs}iIoIY@9PBCM3S>F@FSUgl zr!B+az%cA=BqMIY)z7^xYcafL6}~QTze70oRlLU(#{`uZF@MEe3f|WC?7;-tZta`y z@fB(2R!dXd-Hl<$dRHmvio63>p)ye8UgmnrL-<(!>La00)XUXRtZgdowCEVDKwRtC zl$q!YB>{bp_oqj!p{{oeNzfnH&2rsLniXh!Ql!85+Ijlp+n;u1-qcK;_z9**sT0z` zl5~I>p5Qi&D8_QgO!@h#$@#Rm=Z7ibZ@ptTraD7u@8A3;L6$<_+)DWMH}ToQK^CyW z)o1@)O`L=TT|9ygWQS?9g7Bhl|2bLIx%88)cPv#}+$F?(o(Em~19FofEoiO%0m+RE z*;B7C?R%i{Rv(a_kgwcHG3|=4S~XUZsI@sQzM5^HJ+jsFFFkJ*1kkS*PntTi=#sQK z52pzSJKYQ8IxybTPfhfeMcxn4?`u{czscTtm#ZX``O$?si@iE_Hc-G4q}gRU z7d1IZO@!D$xj`LU$&n$42~!Pbsn|1w^9Q!YJWhY zN3AbqiMl)nykPGAsNKv_>6vfEi3Jq9b$G|P@Czh%Bac)e1}I0R8}Zo>V7wzWlQ>-B z%2+N8qC)VyuO7ulOO~TmxY5FH01Vk~7MVmFv%Ib6=C{ja>mEwwhVEOG!jfBq8zh`< zu=OkjtgldlqF5`Kzh9d0=|XMT+NAix=Z^OE8`pM_?KTyrBXFKwcvWl_Z5lkhQe)|L z@xuOM3navl{x_J6K-3mS^h0w0fT|DuW{b~1bXzFXw%njj-0~@LE+`4GUc$9vkZntF zEJtJDDFzl4*92e>Ui;z}C)rv-=xDx$`j8PN#&%7X(3?kaU(B_SzPOf>jrxEjRb_6x z8G`^|XKi+}5|63_I)lYN*~;iyT8s(WjY7=_D;5S8Wpzda)elq8fCFpEiFlq)!F8sW z95Fo9lAgH_<<~Ej7Ux7+HI%1AI7GV) z#l-dS$&;s$%vLJv%~Xp6Ft@ctzS&84$aJubher23SM{*6Uv5=|F`Iq0bWx6S{SemQ9kdG6mEA;uTwEjSf#NTa=BjpG71^Yx=zm#xt)Q+=wOI8fuE3H%8J7hVNYM`+i9uE=q{f7VDxkwF1PDlYu{=K!CYpw3Pg@tqVqr zx_m1XY}1+#9+amT)3oJGr~-sdmJHi=r$yq$Ug6o-P?r^Lf0TTH)YHtOgO?sm_uJ++ z=vn)CD-ItNvt~(m&rJ(LND|zZAwBWKsg=cNC#{k#niKp$Gs!t%kJLT3>;lEP))zv) zKisMO{fmy{zq&{3Pflsd=4h_V>rEn>UE}KL)MmpG*T)_~yW{_v<)#2`fu(;|gn10; z#?v;kSAbN|fYYI5WC1uCyR{OabW)zUnI>UdJ{1Mp-~+)z73d>1RXEmGY`C~rTNU7m z$HftkIVU(64mf!#lyBS8op(8DRJ#zyS&d{mK6@5hc?rF_+G=arn$g*wvzmu6oD72; zY;KFG4?`NqlDRgEY9l!!)_8RG zpS5oCjTl~U{hB+0rE#7v>M=|0(gC7tFn_p6j=t1>$+7XFIGFR{|<$$8-9b#e>b2GP0U2CM_o8Vf_s=8?iF9xT@qp?n?AU*DePp8IB|s@v#ZF ziBva0hVlUi@EvofXQ{4Mjb*!ndQ&e;X=t;HrM@z}0@;K|D=2IXOQeKNgWpIwbLuZm z8Lk9?Z%Ug%uYQudsmn@Vw@3JjPwsieHH4~=&Gy7|_P^i#G|8!VZ=9ARpX%M|53A6= zNlq81?cm(ruII1wFq*Cj&9y+F3J7A7f0~MNvJiP|-2k5e zBHpB<&Gbc?v6P$j9*#OIr|S^c$Bf5wgq;v(8J{g{Z`qoSD2V;n{4x)$e=K^5_htq) z6A0SQzT8w0Wr-+ip%3yaW09(FDUZTNG?mXMUVs6fprNjEm&r?sX6{kC-U4vumMnkl z*t`S<$j%ITzZL{yEoSMCLLqecLd|8d$rgpkt2g;LrQa`pr|HYalG|yJHstLr?m)?q zm&JDeP7*i%fKHC*jp4gi)CrRv-sA)h3sBV~=d7WrPmnB`?{Hj3fZ}J|OLi0PgAz|- zKVs+Lym=&QEg2=*nmQ$uNr=5JF?s!0j?iGzYhQ z95md4g4=n_uNsJGHO|!w+Jn^oA8$x3VOY#sq(-`>Xo$UXIyT35faQzcY#k8(%$? zvZbj%s!3VX+DiOs@AeI&Rr@5&3FGjU=$ZF9UN;>Cc!T+Spf7z2k}Pkmv`R7=c458e zq1)lRu*V504y%Iup_8EdQHbp}O&RUucP!Wx%_3ugpOZ~aOsJn71Qnn)49**ceD`VZ z$c~ouNq4re8u+PGhLbeRo#<6lVv*a~@j@xN$%P7yiRzela=DBuM8DgeJgb0m7LRC; zi+lG3fX;Qqlxz`SYSNEk3e#-;HjqvHFrUTco2(DOvZ*U9Do0IE+Kng)=oy0_NS&Lu zW=f7OYg4{V6wJaWe@Ox1mkPJ4mg3C^u*^n6!_I_%;wi!Zc1#jQ3NIw4Nt;Y@sVu;Q z?Ao$pihVGCC5I1E4H`FV9Z|osO-nrm_u21g19}l~av3G4 z2@n6#*37P2#p4P+Hpm5^yb0v}ezb7{EQ|7sHH0#r@6xNbLfSURl| zTp&>uTHQDn>8S;pHVu`*z5`MPqaC!0akl{MT#NVMHL`>4Z(!uX7>#eu-L`32omh%} zZig;))H0Q)%>4S@BJpG?XGa&mtcSNaN3S}30<}aV9cI@KKF`s0MW*=#UT0a?a5|jw zb0AD3k-!Ioo|WVDg$TK9j`oo?PUAA`RGUY}t8zMU)-2asV*JMw^KY~Md%RT91$F0E z)mnT}iN>e?1rmV`z=L=o-RfIVi?P{INl~oK4`D{>8t+~<95TDQ83%j$27pT}0~{iS z7|~xI!qw$~|7~Sq3-r=B1iQJ9O;zp^AR=l`W~n3tm;Ac^8DR}daLaEh_;rE z=eZB6s+dF<<-N*%p_%*WLJYEbcE^RV_Lv!bAA&w8D7yBjwy|%V)|PH1)uR4Aw&B#i z03#F#i-|!~0Ucg`N$p3AKf`e@jS)gO*Z6=|K8+c)d`$tTDH)U?>1=1(L= zmwu<-Oi2hVyr-+diu5tFuK}4Y>e*{@Wki0iPKUwK4e{eW!&3Ma#p&E`H1n`p>^tzf z6b~wD7-Vt%YT!OXx}(4fSH1H{cfsmxarQJk=!tB)Mk!0#D903o7GSJ6?Zl!1+IV76 z1{(6nvAU_$>46vJ=qfKf;{(RHtv8a?JMm3xnW{v5NxJrw6s>6?S@D$oI=ZH093xos zpuoxqCiO%jTH4tqkhQ*#_IJLu;{5XJA5hJmy(K=T%}(j7O>*xS;Ade<(ag;6e+<}j zEJ7pJyEV4t-{16t0kwn!N7DLZx7Zmzmktgtyv9tFJrJeV(UNA-@-LcJb7jOseX@!Y zCgJLr-EXU|&JW#ps%Xalb~5CvRpR^f$R#3cGh2?@Y;fFV;i*`0)U}2yPyWK^ap#Rz zNjFfA6OJ!-F4`b}=jbh!H(($7zSNsE=q`y0F8X?Z1$CF@735^&l52 zK1bc+2E0+$Na@zoagnwG{IqV$a+GeDfp`hUX$BKp_*gGsotQ^!OFc0kTc~C+Z-SA; zjWOFi<*#UV6GT$Ca!&JxN%aX9q~BJiI9r13T-eN}fQB^;B(`>>Sf*`Zc!WRjTo&_PvwDYp>aD zb~UnAYYMo9USPuuoDq6I)s(2)ddy2W) zR?&3clu|8;Xn;P$6#Dp|(>L=9sk>?)3F#_9k0nblZPVp(mT3vZBC&+ux3^Gg;PhLU zTeG`UDe5E-Lolam9Fe3H+wsbGFQi}o!eHb7)p{xD$s3p@bl$bkBfsbyPKN4)RFpF* zE-M!mR}1%`?S9~c8k;wln6L~!61ok}_=~KL$h?I3h5uUs{@Eu8qW= z42$$GdwJd&%HcV1KJDS9H0<7fuRIzqw~<>=Z5ZLC1ekLo>OR+CxK9O9Eps-#$CQ5o~viR`M^XARj2F$#kYW?M5%(+ifQimrk2y zE|>TRAo>#qKMYu|eLk_|82~vo?6r_>jzpdPbvy!#!!* z|BpX(OGpYxjUJ7Jpn~KaNJtNr8X=6%Ln9y!8!|c+1eG4K5em|siqbg{bs*yiheMp- z^Syrm^Vf4-+`I43=ly=Yx?5lnFUS#7cFs`t%^|bHyVvBtuC|~54OVkhbbOf~J)Sy& zfzGA~w!AdW-s21gj;oWc6&Sg=f;o~P4>FT(K;6UP5T#G7*c*3h{g^XFoBq@2_Xe{H029zq@aG!Di7pw+V-auQ3!82d0!ebq+IXMnAAp`0S9hS1Q2A|22|sDX z2v%ZWW?*A%BvRwdjIbF89eC$0*Q&Ldc|$>Sm(U(Pk}q_0NX0`%Uw%x636Vf;99K>0 zC;Cy&c9S)iet`r|&jVWDs_S|gs z@4UieM!+Rbz{DJ(E#!49NqJqd3|t=AKNLplpT(snGYnDu=tfmgjeGgh{(ON^ZqXC# zrd{L#wcG41G6^P6@6y7ucX=Hdfl^lv$9}Gr5g~WE3i+1TX2S=2Sh+3x*!^N;m($-B z^fzTI1H>=)k8J?5e9S0RQPtzLLfa4LDs)6aXbdFq$H`7J9~n?5FYX+>jb^?|vk3?Q zXNE*>N!NGO!-#2xl|PkdG zX`xdcNTkOukhzt{=h_t3;zUYG+~cI@$tG z=G2P$A*u3d13jMS>IDNvKt^WoWx>@sO^ox9Vi4vU5tu34L~0mheUqiJ-yD2P@G{)9 z+s-VWKt3%Xt=uR3U$dk9u=+Wlhizs0#^kM$WVOJJ5o8u?i(yl5xr+YJu{;{PK$Y1z zS;y=Atm?tj9_owfrU3yRD~;v5a1POph;n)RfUb<^lc1bAVqtEah?p4ij+_<65+vvw z{sUsDgM2hz{-$?S+6YonnJ|6G+gmy6iGA>4$E_T#0mbnrFnu|i)GY_il4ys}D){;R2*zXwFd6l(i zSUgkz`G81)YOKatggFz(z)2w1yE2faVN@I)wQC1)Gp9VV&wIjy8U5jaE!yr3 zU8$#S+0ZwC`|wyj;-=qd$#bE}E-K=lB+Xk2j)MTTft$!SG=r~r`X%4N=#u(S=;%&v zuOt!TD!kD|-OG}#ji`5Ozn|vs3M&aQUK0Fqp!FUr_Kr?8PPQul(R)a;jbiUHuVVQJ zrN)wTw;{xM?oN~t`X3E2LMR-Ee~Pp!b|s#Umfv#auS`D8-P3B6$;m*E9e~1yzVyNc zb-X@|rl-gw3|Ijn3M-F?{Cy#3LOXH!cM(VAHoypKuqTtCm0=?8*FMtY!Oq@czJg!c z=6hPevJ#IjyB`PZSYptBC=2Qhl4bFp>QY}ai68UB5gqwERbA{4}rA43W&Y5ADz zk`3^JZdufyj%_nGc{4mR%&C>Srdy`SM7$StqRf#)_HFj1voLeq2gmZRbw9Aav^$FO zb@pJ_J+Idqy?!5ewy(ZadUu=(7SeXRZK0R$G+Bx=B^4Rz?v|xCI8aceOHqiOo~w)weNm_DQle`@dOOn!99Gev_^w(n60@z zF=*=#6r?0jnE9}d7XhI6_okfhb~Y?$sU{DSZ*I2=XAXpm+0|S;AK-5+7z9_P`FT`< z{{g&!IjxqNwk>YeV%^B?rZf|zQK&$e#(5gBMM**UBuami-+nvtyNQtJ zzACHu*MGGqmq~!qFyFQ(H8WrOhptp!>EmvKxZS|d)3RTkkhh zWl_!L^4r&Cvu}IXmW(w2qKc9sK&_PHN2gVRZDFPp|K%-?!RrInqYz`^bDS(p-aTXc z@IWRS3~_jI(`9md!J%Ok5X`s3kD!d%-bP=q*%=v(bfyx_b{F_e=|;sC=tb9L4nVoJ$9gB5@;CIe%YCcwDwRt z71{@WVbf` zB6r4|-XC~*=TM5#6n*w;DK$-XVJ9CS?9!&rZE2K9coEriwBj}YD)ww_!7wM-h%CY`~DfHY-3keXz0_BH}3tSWrOYSez02Tuzi@T zdo(Ur^;c9bzfP|4r@>i##|q_&!vQ{HML{KQae3TLK#HnCy>t$)uxPXN2*uTDfP;rx zA1|UFF)k;TOWP;wG5g2-rVe6?RFD6)Q?{AEJ#>_Lo<;HE;{~mVij%>9z*lqT65~Vk9WjB z8+f}nGOYXiXn)3Rl2l~Vy;UG2-{*%Tw1WpA5|1Uq$IbxMPuyHYwyC{wtkNi34^VbI zpr>0>;gK8Y>4bcgqIyEVHabsI8pDjsTw=y(VS0Z2xj_=-!OzIsZh;*`o{kwTw1B^vCOqObMv+e~ zpSinXvj~V%ZovaI7<{n-%cj2K*;jYmF?`}p1rBC&3=itSgJ4|E*OS66d3ABK zOfZvXVjkibEYcn^wc@a3p!LL*_iTPAUvk%xqQsmg{aAbzw+gk{81#l3eo^O@d*yL% zxyavzdk3jU6(_}^Yg&aq9FIA_r1;Gg{<@XyvtiYli7>+_EU4gMCq&WEP_oczN~ojY z`t2RT@1B%)4u7`7Z{Abnx7W$s1f!fv$WF87p&OrnI;1-c)Yu-!tol5r%Tbr#pvfyG z8jF6wNFzhCC%g*>hZk%3>wEDZx>HZ~e;#`<%NtFCP+wo+?p%)a#Rn-8N>gIs?{^9* zi%*oN>Hx2O8(lEX%y~J(_*bf4Aazr3i&BDkclUY_wF~X?dHph5x`bBv^2zhzDMMaL z*<#A(@i1zIu$QFJf7Sz%Ml!41n`XXYSCqI zt>jK_a$?f8qI#hvr1P7V@wp{sk(XyUt}~Y$GJAWRO|rCcX%cuyaVj|)c>4vZ!n~9l z%f|04ODx10hqh=g)sy!=0H(JlPSs`>`SQf<4*SNL`aQIF71o4PBu;W#hsST)ySSav z-3z9yM8E@^mLEIZ>8sCt?dUMhY3$QL+B$#S%o;q?(vMmQI`yT4npp#GE+L+47IJ?F z8oNm~b>j}$*B=;;Cba86#FZq8s@ZPZn*yFtwBD^Mtm43@x$6ObA=kUhf^>-!nH)f$ zRFxJ4;_P{}IdS4@v=9qq)!8V)U7LqKJmy-9wr z>a%WqF+pl)0~~1`{yGQAJuYT4yWZ)JYQ-*JvweIaUF4wXXYAbzo=qpBa(*h3liWnG zAFKe~vM+<%pyjI(_rK;|zG+BI4SP{!Y{9MNp?69up#1PP4XDxRY{PoflzBhaUYjCA zzy>yVd8oiLufEz>jLCOyrl{xt0e4*P$%CsO*mD}2_N;IT?r{N&72{&JB0sT^tTLf1 zU5xvGK%rdsTv%3DoH^qV1!bMO(wKx-X@hSASN0Mz;b$WGOYFSkO|`WYGoK(GUY^j< z+{Wb_s;->7qUd4B5#edKn+o-LO@mprod*#}4sWPB-VR_GErM$zizs|&$4^&AV)PX6 zg?soP@Z3|R1q`p>=KnTl=;c!~cx#>utMJc1srUvPyJ@wfcCajT&6Bb`|K^FOM3iBBz>u`A_8&|Op3!ukkhjtNf<<-U-1BX0psF+)*LoJzT z>37tq%&9setdF%PxpLpUP2frVP-VK4S{KJ1DdaI(82cheX9Rqrn5k+jDSDBNu}@no z>?S0C**(HPJ8o`b*mDLlqI$WJ9nVoOjR#-qy!KqMbD&}>k>&fuum_Isu%q{+EEeK! z+@uh1JcwGn$tvxX#rGl?1%7F3ox4%xx};&y#$||4uzmTA{p``Sj1k_gGSczTI*Ob7 z*Z9~w8GA#czzWty5JFr%0jBYr#(F#%X~BCWNLz~)%Z4I98cwO@>TthKR7LCKpjFUX z&V0pDX7<*vT4i3P3Gc<r!n^Kl{SK^XE7puJ5`9puS0)P9(w_XTXxuEop*iI~V7G;iTMnlQ(DEIGv z@$%6HGH!Cms4R!lgZ*TY1gUy3>hQ!?Wrr$A2`>~*Qy|OrWUuBOSfIc_eajGVvE|ll znM@*?JK^AJ9qu7AyvTiTTSX}UpOon_3hhvGzkmBzlP9;h4<18SUQO$mi3JQ($r%6o z#tDG8A&pnCmH;-w<%LqrkL$P9#DZ?&3zSLZntMtc9+?$Ps9nc~FP>CR)szHLjVumj z<%h5lrq5**lAHkVT0|pKf%)h85u?_sv^`k6%GN5aD<^Xa_+-R<{|}(oT-9M`D3W>& zAz>qt#=`B{YUei>^LS14q?uJAve zlb3F9cFj;#S$S0{8;TEoUp*pzGsdwt>+78V63M+(YCd(j++TVg4cMjGM(E&6uLh;% zWNRHI7U|Zq)UeuqLIbY~^Luo7Dc;X68)_d>$j~|v9hkzYqSuu*)!>5tp@xim_@@Ox z!v4X%2q>*TP4rX2AQnA)?@>jnis)Rhr& zeWjOmDo03()%r;o0Cm@tKiH-|dnoLch~9L1`X{pS6{@9)92;5Cd-Lferbju>KsXh% z#oPVPgV(r3tiwuZu=udeDd;Qu?;UfRVHad@-Zt}hk2d>4>zE0aeTBtzaw#Z;_gepo^#-DFvgln?p4eV{5`u|LIc&jeEv$yOAAz&iJ#pW4ogK zBX|9$9_{d_IMF{bqXt(pYT*6KIhS&dJ7bWOqaxYsuBTf^-tfO3m=3v}>!3pdyh+vm z^LHvLI3HJrL@&jX5Rr*0s>pj^CVjp$5R9&P%*PftaV&safAIa%d>**ZfUE(rF*mFl zy_atA;xgFN?aW|!Rc?p~&Y}bD2baw}LK{`R_#F{OisAuMEZ6Ja(&~$0os2C;H_U1D zjW-i-_r7|K3DSc_^%IqPzQQBM%lAC+XpEBnf66f-5Q~<4N|>V%8O-9XJ!Pg3I|G9hz{<+90lxTWkccHqB`^>p*j40SQ;z9U1Th4=t?iAJc1 ze$v$PSsSwz)Yg=H0c=xK0w zYv)Yu13A~9=y8*28C4CWfBm?_-FTEq15C$I)ABo(6FvhuhRs59ZZKk&v36gbNb2iz zwRM%CCdEo`#c_UYpiu{+8g>?*N+(|IT5q)7UxJ}@jYGdK={YZEp%s490Qs} zyNxjR#pv=VbgK2mwm|Mu^vGfu%U%=RojC0osv@m0wUH{O#13orm3+f8iF2Gm=s!ub zJxO_Kc-V^}%Vb)W;RR7Zjryvm#ugat> zi455jY^KT)@D8~etdVPx<(xqNuchEew?omY7sBde89_-Ej6an?q%il!@+WTw#j5wtT@)8B?KBg!TYAJ2 z_T!75NG(95LsubRmWj}}oJf$-;Wqm$tQ8x+_8d!kz7Pj}fGilAdu@y#`6TRkXQv6S z{_R!xUdgaP?)`N!pOvw75sHt$sY%L%)Ywy=XWUyehUb;6GNbC>+&pB;6)D}qN40d& zd>Tj*9SM9#(Ni@(@uxV4zT`RCf|!Mw`r%-#X<4{rHLF-t1${c!&PFxMP9zfP*XF{7 z*|I)f<2qOS)oi24<7rl;&j_ilE1Co1bevsbthLQUjCNwAnDWwl2gtKqGy%E`9C0#cSAljne;gg zNR=0giub)ct7z=Ci={x&h3o+klNznN(l3SB1Vd1`I6uAoJ{&J8#kUrG#sS z&*kQbkQ8+o&wJEn(v2Tl1dhdqd%?n9?!||~c2v3af_6Y<6R5Lte2rnoj6%m)wq?fo z(f&OVqHzKR@#lk&s0h1p62?n9lkKV)T|aGGj*%ur9lQK~Rgqo#5bi;ZKQsopfB6H* z3dDSpD+&F*eCVgPI1-vm(ux8dCcu(OjK_Eq%ds0+`04R#j!IqSYu|!#-bcx^6Zy+W zFsGyd$L04M`8p$Xl2n`kQTg#mokXU!*fAHx*3w0rzSo4qOd#y%^WF*;xZ+2DT#Bf! zG?KeETa;L(pUlPhAMi2tRYwPw7zex->!7eMijy=h)ow;HIX=iu@^Tt&wR7W#WGt7A zsC`Nm;L^z66PAAxr@EWGW|KD&H_DR-4w`=(pLb`kfu}v^{y)X1vEN0_g?7#tIVmc} zeSF-!;BA+6Z|fM?#3jym~wpKO2B8}MeJnWh3i+_1opOp5NXkOV$4csMw_ z5$h@^NnM3ZkK+u9{Gng3uJ=NLW5LARP6^}YgVRfHX}k0(vH`x8lNe88=v~K0ljp6u zB7#@eT5%OjqH7A$b)2I&q?K_-+7`=*k=X5}2-A)T*H*m@lR*~}A*6yyVrWSzaQ<0< z?v4Spy&fdvl<0BO{0qC0^fJ1&Gd*g1WaSm*jyaW`!x@vmFZaO@Ho2v_@2sUH>|pV= zid=91w-eZHb@}%L%(OBTGQL@BW_Rz&t+DNLT5d;om-`SN6Q;i3+n#fZNSnWO{|u5t za}fKu^}=ee8xr%RU6pA+#m-T8i`ytlt+(Td`>)}%jM!lQRAdDMq}AT}n6)Rl^++~k*VBX>H#9*OknO}Gh zC}8Hy$yu7nAdx&shb{%HC}$RN?-)Y98r^02$#*QMOD#F&fA>4Jv_R7^*lGUWvZ{I* z6rhY)HB(LVNEJO+GZIi7CAYAm5k&2b8CoBuLFjCB1Dg_LBXzKIYdZ{0I1CX^JnIlp z(2hR_AcI!Rdf-x6yp7lzWT;S~Z20`w0$L>e%AL@8dBIp;XfzT3ViiExc6UqfFzI9G z7*zk+#PFLR%e{Hu9X9m6vv05lnd&yhT=!Ne!peyOl(Sq7YR|!Tm-!i9w_mQz!Lwlg}OI4>~+19>&C1c%WT-6NCBc#e| z>5*gNxg*Wx;)nN=CUW4pSO=cG+{vgs3{90AUPRY=>B6xU0MgIM&v z)E5pwZ%3O~>+$Z`XuCb}9um75l@eK1oPQc?NHzbti541%EE2Gz%UY0Fg(^SLS~b+w z?J`g}ztc#VpntSIpKc1AbF%kMN`-L#qEd@ETR9|^Z zq5|H8Y3S4vs>EewuSZhr@P22lNBW;F&fT1D#pEr%3DGCsIY8F^YZ7-Dv%1R^gytXO zJm_`)4C0nI&E!sEv5wdN;T4Q|x&`<;cs_18u;IoyL%sc}^EnJ;-g$9oW;{Gf z>decC<1%juV-tKydD*q}A}vzH|GlpyA$g9^Vz!~{0a=L%+xH{yHLL}IPfB7spll?S zJDsLx-jIV@Z4VY!X6aG055SjD#Ots*G-HgE4YfyKF+dxcSs5P9F%=`Quxh%i7?G#d z2QPt*kB?i^TBfCQqZ9`$;E$(!el7euSwH&2o^dV4@$DbbP<8adh3vD1UcE+*tMqH} zqTScV1-jv_HADIHjKt%>-0b@m{ZX!eI?$qojI*^TBXw_L{|p()SU2ol@hx^IUvc}s zq+m92%e$z}zH7Zo^YfuL0m~4uLkL}>p4r}|CPtDztpEcZ_%y5hY1!*K=NE0q!uA`T zo9P2`Yy#1D=ruTjnQ4I>6@7?>`ovrhN9>ze1{12UP4}KiQNrWdB2$WffncmO{ooF) zUy)F!xC#wpw7SQg&RiY#X@8s^oAimP&slZtC`l_7N8)Wwo;%4*nlFl}rSSaj#pC%qGV0D(CbXMzH{h#~fCu?3 zN-w)M1;sjZP%F4nLQ?YIW6dLL9m`6+(~t6^D9W&MtfgPQn3HULcynYAEnpVFM;6Z*m(C8h7(N~e{A8OO zKNe?9UU^^F+~u$`k@1c&WJ%0DtV=v%coIgH*}YfIOL21tG?HsVu%^`tGHbhLfBTn5 z{=&4zem^%`J04wL=N$)>X)xZB%(y$sv zxWjAoFCi*lW*xb_lPbYS<^JdVn%Tb+#Pg@tE5IHhX$K?NgLGQ&3Xk#RYm;W`v(N(K#w5)Vr_GV?kTOW`M5Q)-*k!Pa&Bj7XK};5ys`NK zu5CI(swcB&Hf7I#g}+H=dOdbiHtakb5;0j)XEuJKB<&LbmO)WT)TD)5U6TWdaSgP}J*n?O4vT=( zpU-bvjHgvbr7>%o5R7L#Vpy&|qmg4M<|l(irEL5QoBQgtOF*V)u}R=cR0scP>JIj4 zTU^udv65@z6F7Tm1(QmZ<)yLxRROj zGBFJ9VsAro8gq=Iwgnk8Hg#m6$^{cM%JfGp!;8Kn3A}lFN?A%0i#YBDQQNoIYN!HR z0NJDg7rqLwjNiDF2WPv^UntcC`ZT9#?*z=n@j+9e9V&(i(g)%hwGAv2A6#?xD7B`} z#D0DJ4DeyY$JPxxjm6TWX6j<#GO=~b+My!!X50OOAEtG6u3>CBDx=?;3Z#B`^N91v zMb<~W*?#OTb&1^2?cWSn!nB(lvbOFv@rAF$ot(8ZaB3r_{ngtVNgr*<8a5i5LsFEs zk+O60PqxU5RmPu;U!iK;o)u41?P&!_IvVp{|9{&sC$h_ve}bTn#e`rjD@hDjnRuxO zb*{T-F$W;msUHB-X)8%q@W8n$$zP|e5bjwT^QyCV*NBKD9%W2sTVG`vWwSYhd+x6* zXR}+}9t6=yUKA2btb9J6wPJvAZTF%u=o}h~&EZ%Nr}SEMU+0HnTMVn2Vl}hJoEEwI z(nFR53Pm~!f73~2^;5vjX*7icC{egH-nDJ|UIKcH>esI72Dj+X(|>@YV-zq$ZSjOF zZDj~)ym7qfQzQ|I3_tm0YsoyX;`_KFS*}BeDiBNp{y9iAUzRGe8)7p+(ctt@{6=KL z2Zd(ywW|xkG5WI?4*}bNk@8Y+VzeYJ6#&0cJM`p^1isGvNyDqz zb z-{4!&HWgrBR_<@wQj#+AgLXyLc6qt>j`BKDmszNgz{LB$yu-{;M!u&{1&>yd-9SLL znpV=MECVfwAQQ!L++FFlDdOvi>~^h`C8N|zYZ$_Z*};i2rI-jEPS$|ZFI8}TgC41Q zSZBd7YUg+A8htrpyG@>PJ4S8`PO+{5;`p+Izx(n5Y@W>qT$^m9>dWIj;LA?4)xNXz zwOaUp5^X8Uzt>Ep7S=o#E0dM+L9$c3JHx2+rs44c@t#DEsz3ZqVZfvKN{oGFWS$bg zu_J$Ut^bqlgSR$k$A13-a)v1^ni8H$?5a^zJHq6C5NPZulli$*|eJEB+LRDKK&-FlCLSF8#b?-%g(G^$cfUDvcpN?aSwPgaBrJ+rBLYuz-#0d|A2%&O+ zkzd$f{0DSvf1wjyKD~$?XWw;_oT#{=h=^!f(iKq7L3t$a@hI~bkH|N4cSV2|!m+G- zvdZ>%Nw}J6cI0`*4Hd-lD71ZxGYeL7i6`Yl_bf4py2WYUGL6ZW)!6Y5O=lpt7OUF< zu3rw+z^bxcpX2I7@Zz7hnQ(Bmc<(a~?%ly&1^!8Bzxcn@Q&a%kz6w;lk`O}qD0F_@ z^D7o-5^_gVveUkS)9@==XJ55ovQvMI)W&-Yu*U1MY|B@=28j)_E{;#C_A$ugFN>#b zJJY!QZU1?>J+GmqBZ;6!cC81{{5|t9UuBto$r@pY7|9tpDR;e^g}LtjT8q%7Ti-4M zvNYv(iq0AuI3JIQls2F$yCc25e6N#ax!!i9axZ!EU%LGpY37sYM5pN<6 zf2{H_U-kq(<5vBFU_(@n8?9#rdq+WL-z_6$F2S$WUn6j|bfuKo6?!yQ0L~&M%9!;C?b(_Pb8x&bLLZA-7Dscb2l)OyMx#xT55lbANr$8(dC=3Zu746uwE5 z72|l|a#p=od%|^AK5lLb*f(d*eQ|9q1kjC1A7A-tN2K~3G=w?&AS@vNCP?jmTauN% zX5OS}PJ>6?mKB!UfEm0mCb(sr=j~49Zt>R=?qkhlmQQyX=*C$O858^8(&?VqOLX8d z@W|lOI;XamcK!TIQ}`FCFLmfM(B#sUX=u{on49h>)Jahj>q=byHhHhuNv!=5C)4#| zN-!}V>*2WgLno=|r&)9Pr8x7`9{sbd*<*7WK2+jetNJi)R z^cQnSIW8Nv5P7kMVlV1&8p}eqGGKasDjMD3Tcgh6mMQo-{QPm%(UWo2*q@SNOXxGH zmTzhL=QjS=z8!Lb9>xVC$9dFb8D>R3E8aKZ0>9wM+d#n3pepb}AG1 z_ZX!EHX>$JhT3^|RXLFNDgA>odg?U5CYj$;w5K!vA{F_`z>w0fd|X89uG`sN%XN*# z)07HEixxfNgVZ2M5-47L;Uj9~*8%lBr>c!*lHUl3TQvn9e@ta)FVZSJIAAvKCT92> z@z=M{32TaO=6$rR?V?Md^`sJwxOfY;G}g!3kFhE@!^UOqtso!TKM&-L)4k&81#=E} zmLy7DDY#eo<|heh-i4X%T%z`_%xLa2U5i#c74;023xCw8Mg7{Nok2!YoAE&7Ron0( zaCVPa$xM9(HK&&E`M#xCfOeCg8~F!KvhKzhMo5XBr6c2>m|5s>@cL{M5Rt*k)ERMd zB%Y~)sb$~9XGrL-+L_aG*Y2i{Mg^5JtWfSoWcWohGxQ)+bTRL^FZdB*l$>5h5u=g| z;|$2ZD>%&svzxpntZ2&l4a-&rnuNc`jjN_vNb zPT(($#jQ(jzp@ICnw)psd4)AwNv7KU^l4bjn5ZKtFrRLiW%JEF`jAqxz{$eD&fbyo zeo_eJqLR7FRilD(DdgNfc_-CruzzS);@mr(Q2Y$@o;jOI?S9i4++P_?4Us+v^qn%D z)c?@CU%k8T8QtEa`or2v)%$tj-S3APKri1Y3vN*0qv`UBzCg-^QpM%!)V{KMKy!@y zHt~tEMP@HY@5!XsG5D41iCI9|>avRJqNQ58Zj>!;)-#HY6#@Ur-7uqCN(^q*mpAG^s-Msck)ipMHIW-!ias< zunX*TNQ&af<(4#iwxJ*_xbGb6wi$o_56{>*b4>=MC%K z6+Dng@)iR!adlM0+kS8{Q?2n^n96VxFF${PaC}=!W{p3M)-Vn&%9vHXwBVXqBhPbb zk>hmvAF#1{`X7*pKLQ?prJ%m@!3-1c)Gb8dTLUdajx*}9=W9;OCsDaw2~}HhH{2sW zuPndU;owHXt_N|YAF#1P)PJ`FcTz_xXwvMt`M_4g{w^gVr}$N-<cFU^vxT82z$-qMr;1%U&Dc+wI+|e-}kO)IwxwYtwi;5j6>c<$aecX!UOyQ zqh83ASsOF6vn+@foi$`VEIMF3B!^~1f%>elKcG}uemEJ zZ7gsj3Ggx8shjKIkZVMXt{4gBd^F#wfKl*0*~Tav33^g01?R3dVXl@a-_Oz6P5cyv z1$9bh^mps$G(vlmEJk}dfogTKNQN$5Db%9a-ffL~3$@WZvdx`zJANdy?&cNa+yk7w zpWTQ*u9WJh(qRk`9rbm~OZaqB32AOk!9|1Hgs)7zY`(#dC&mgx1h~z6*>(Sd4tVi} z54;Hest|aXdT+0E*+ii{poi&lRQ;?kTj_s* z{2av;og|1|+c?bHpO5}%vu2lr`e0Yg@hX#$Jsr^#`W|rk4-j4%=A=+Db@zXJW@Y_! zwIcj;(=nf=ZqAPzddHLz+Zk*XLZAtmi}bo}Bw1qs+8*Pg(ru1>VIj>e&zW^55LQ7C z`m(7C-Q00mDuJ$g)Mj!6H=pz^jLRG7TzZ1_oGp5S?TaNTR0Y+AAFb&?X!L5yTPpGR zjO@Q~dOIUI(;tc!zWV+wookzTWRl=~gS>l_EpQoBEo7PuaA=P^U7vDiTk55l#O$0k z5YF;mhzGTSnuH3rTQe#JyUP04+}SshJzcdd?*HjmAM07uqzdRYXY$`dNSNJ0GS3yD z{MldIv>jXWhi)u)!Oz=ZzlXqgw@(@%xE4Yd^=s-EV{(st-tjt(6f?_iT9dk!D>Z(a zM;J1cqTrY$6^YK$WZFbh2_x>c_-4&3HDlo_yaeY{tI~ol{QquJsL+mS#wR6Qr$Pjdw!70sz=eKtED|QjfXjUy9=(Kua0RKDK z%p}veHnVn(@gxS~Z`@()?iOO6IW7%w)JajuKez9GC!iqs>7%?^aZpfzUqH~aE{HO< z=Nl~L&yVwm)th-hybfnoJ3`~lv7pIOpZd~+Fk?J_`{R*`LL?sj5dovO&NHh()_g8WVKf z?{N;V?2Bm6+$joH@a6-g3Z?}j>a{+uXnTaPBH7#e(lPIRQC2KMJT^T$zeBTvg$ZFf zx3&K3`x8r(g_(!)cGs%^wHdJ7?!owLfpR4K!Cgb~bH|*OTivI%f&=>ZJ(6RUZ}IY* zsLfuG1<)K(({Y|u4K3u>vq~(Swbj7)s87UJaY@fL6Qjrm95^$gOLbuM`130j+(;D5~P2$c`QKpZ$j*<9%|v_DVnRm zB~I3~O8%#`JClGzAUvF~VM^alNx>j_>Mc(sPi(wc>#{rG1omIIb++PR3u7xf4ZlZ) zmL(&TB!7Kn33azRzdZ>agEMm|7I2gKybDx1{xrmTlIlVE_dkjIyGxUSb5G!1AzMsw zUAu*s;M4y4s8^9~B7V){uGDITV@=B{2wW;bW`f!P~h%Y`H^EbpZ|30&skI>2d ztC!?%&PZco4hiF~){206q2zwOoWP~t^yV_`RKjC!@$R%`{OxIx2U`k_b10hfpq1s% z#=)t-*DIDS!m;g_Gwg`7Lb*N1%eNGHWbyTExxP57&UUr-p?#mZd-8T)C$qLEJvlZn znr4)9_iABeY0HhCG5SFO$s`fn&ff>W)9m4%1-Rq={){d9J2QZDE-i&43LWk(>+pr8 zsU=vWc!GP^$7A^?3tZU4DV7tptbeV*GA*1|n4#`tc$lz69G&rA5*D7`*Yu&jHKm|k zU0p>*`i1AGq%hfr75@<(;CU;>S9UW_bYTXi@!oAz>x1#m&-IOyjE`gA8VDW)pA`HB zvhL)KcnVc?ea2=c-L{MmVx|K;+_LyUrrqbNb_|y@ilMUucl~|st5EYXJ1TdEtFPYG zFfZzpHS3l9>z{ULVftHx>2e=uH7(x{2PX5{20yv+uaomQ!Zcu*zwXu9)zmd#*RzjE zz6urt{;xx^H@FAsp-rlA4T{F7Z-0LbP ze!1b7sX;W8S-!>y-kQGX_ge@1+V8HtN_T>2s$GD9HshkGY*divoPkDL(So$OE>a5z z4;)gWPWOs>vSnZ+mEJK{>%^x1mUi_Q$GBjwYJR@|<4c?t(2gZ9ng))axV2mNc;hjl z^PdQIw!xVJvtdF7lyC(9KzL*DnR~)!_uHBM9HwH4OyP5tymqU$ycz>yLbB8CdcYun z8GDi?{6bkf^wjcIbD4&|x_PU`QelN5JVHc28dm9UgRu6-Pz!g)1*JOWv<%)9BhQb% zTod}!7uy_N;iYEjvUiFQnuOL9NuWJ_hF0wr^X?y?oBZj;UQe_-8bkYthfZC`3z6?6 zn{>VJjK>c21&P32!6c56%FYvC%CNh05H7n-&DGlSa8trWaC>Cq0EYjekG@)+jt1{Z8;vu zPBCT|P!$)k%1L%7HsL!}p!IYU3nrl6)FmRNY&mY^I}PBWGTl*4KvdhgWy*os=#R+H zxsxY7YUY8)_aY(e_#6a?Fgl1#-$#~?t&AMq8koJ>-^Lr1lR!Mlq$@8yFWZEM;I%p9 z3I_RIZfh;Hfx?jmw)B<>EW*)cbKpDAyg@zzyv=7QH7;Wk&hG(E0Y9B z=snLXyIEdR-~f%b5^Wr>bLmbzx3Qa5-fob;4I4=3{nEGm4HbSblXapb7heS6Qt#zS zV&N zqgfB@D$KfnbZg_P??$;b9#Le>P`uS~DLaEUWc;|XCI$_NFkh>^d@&*IvoRL0rbg-s z^Y-Ake@U4~DxEhK9H{4C?mZT3RX3LrD=z)S_cE@|c9-!1Mia>Lq&O6Vu#eybF47g< z);qYrDr?^fgKh|Bbg*7%H5UOP6V-<3l-)J4Sbt>cz~A@ z42Uo7&)V2w1dxN|m#LQ5xw@NE-WZcaFq|w3OXNfqdHQ~;m0)VOw^T&o2Tgb9y|fUr zEn`$Vlc+Wu(+ur)xnA2P*oFdS93PONjwg7!xKfw7aCg~t|5F-u#)kP1P+L^4|Gpx? z!KK4;ydpQzevnIV$u~~DCUC7@`bmN2&PI%mB8}9Jcl){4BxE?8T=BBnQQi3Q{Jriw zxmsC)04TIbS?+bLDVX$>+b!C)RtJU^*2j!;pkKQsd6>TcHA5YL0-0Za>kYd~dW|Mad} z917aCbH>)V=1W0Mp~IX2W6M)nt{hf<1Ut!wEVj=52fRDGF+Oqbc5m?Rw(p03^UNu| zQy}5?PW-cynHQfvN^>Re8!KJZH^+EfD>|94S%7i zZ?#|zq=8oRyK?WfyKV}pkSvDR86wb%VV|_nzQF>t%*Z;_4a57pE2V8OfqKNNU(uaDxddm^CiCtg0|DyE!fVC16#{^A^`BAwUs zZLh3Uv6pYwQAO-_s>``$yE_^sLB1dTT~I6tXK*DoR(tISI5ONaAly%9zUhTdd}P#J zJCLtcW)uR|ZnMBfFPjI#1f-~yV9+qkvpB>!l-&FMl#$Hmmh1c5qk~+LOtVrvx|IGQ zFviJ~^1^R-ntz2ejehDoH#hroch9pA{5Q3t$-IGMD)Ug4QgG}SNbBuWJ6G77Eg|t$tBnS}g#Y8{Ec}}K|F^#}I;0z;yiV~6=CEa7B(w(A!0t)gWzW4dv|G{>)$2sTydR^D^Sy+F82GY14 z>hP!HWAd*ws^(qopvAI(Hy)1>90`kZv@bua(P%U2N`D!Hj^o`?`sEr1LLE-{Jr~tW zJ^ol28MyfK=hcPHb1&}1bt;5CMKPy{ z|9GiHD~ZvV!Ndfe^s+NRJ$(rB4r5z~0DnC}A>Dw00FBv`PyNz|oV0ML?9InT<;B%t zzCmS75rCEC!%p|lDNh^vNtfrZ%#38FsO^iWt)E3^M8Jt4HCc?B<_v$~hk`SdyO%Zs zhAi35o%pZ$RMT-D62`*-0X;KRI&jNh5W-;zeGee#GbDeaWkX-|?^_}f4fGu}_-~-gdS~3L}%l*m=W0ftv!)qbsr#D8) z34w+^9sn5#o$iFcYcu~dQuDTjo;2MNxN;8chw2&yxm`P-Ui=vvXW;z`4pf5}p5@~5 z1WQJftS!>#xNj!T@}QX=8M!x#CndjR1<;h6^4Fg>O_(r99G1f~aDywNXlUFn;iwN^ zD8~~t=ndZJC*Juomz$;ZdwIBED}2MUT{;NKaml(#FFoQd%J1iwl~_t${rhcm7|^?g zwLZ0l%nBHuq>w56N#*N|IyyMCAj2{X*E_$Nm4_^wQ`C$hNp!4johr;JEqDx)^TgR>YLhCz(IY=+0nNZfeu`mpJzR-I=;hCvXr zR?2s;fYb!}n@2E5J=*FRdwwgy*aeOD@6mIK;21_DdeYy|0}3a}>zk5fpll}xx_jK` z!FVf+=O{Waq14;+JeO{}pw*eMMF{WL%2VN)`?HNBaxUfCZ)lR=Fh?l_{0XyKe}{Z9MkTMO&cpNPp}nfM7t$f*})F*GPcUI^Fx4ODG8S!q1;Xv z5~N%zjD|UsHd93&;4&p0Rbe6NzIIHWgy^@uKZVE)9(6Mey_ZrPopKoB%0k}hgXx5k zEGpgqvt*yeq?$U8f2^cfPj2ygC#yLPq&JJ3-Bk3;cqV^;hTwPT6A+wn(J&IW4O0>r z7{k0sV4v4+FLd(@GSP@!l|5s-w>SVanH@%wvJ=#!5g>m5~6Q2!7$6EI^uR;QZyK4Ky zxh=Qvy^b*fkyNyYUC7mST{16^HWImv1l%*-7e|-0`Q<815F!|< ze#F7yAyO9MI+KYwoK-hALYq(}PkPLQt z7~h4*?ka-({}O*lIv62dvGtzDC3ZVgll1yl+KWqh;Tu=0+;^m_v5HXvkP*5nyZM^0 z2h@Fmp1?LTEf0A1)rz#X*(4qPg6}cfLuh|DE(!p(N!LhX!Bu0osOlMT^Zt@ZlXrXl z`^hNNIX&X&?8MPrth3lNUx9T)(C|s~@+Z4Iy@(VSv<&fsUZ#Dhz7Gpw4ZUUyFSU;V(4p=S1)RJyxK!z zt!;-Ja4uc08MYAev(=NOao>+FZS8nm$*9R?k{8B3*hjcCTgt{VqE$#QEaGy5yrMGo z5K&oCNq+Av2Y!|!R@T(j0IUCC*XP9#INlZC5rhh2qPIuwBZ5&DcjKTB#uYwIX!Bg} z=6)QV|ZE(fz;haj*34Ayt)_a>K(1x{|8{DF*v3{MsHnM=-<4j_>M zw^tGkTUrZ={B66oo3A3*nMW+Nj~+%@(56)R*hxpev!Fd{FV;CL8(%f`-NguwQJret zPZj1|k-|=m^-lS+(qTl}xqs|FELEqq{}PV@<(Mu=kMTADZz^xes84rH zzRW{JZJfrO&}U8!kB-$Br~!w(GbAINYjCl-RobFOXbPqW`u*o znbO0ehMPN_)Pkslo8-0~{FjGIk`Z3jPAz$(Ui7YI1Sp@f{i|@+_! zt+j4=ifRIV57pB)7U+;0pBZ9# zn=LT3s^Gq<-FlJ2L=gx?N<0k}64H%an(a#6Q8ne!$~N&AI$Z38`>PhGB-xJ}_qGGH zS-%No^X;AnwTWvCo}9sk&Y^x=eieZbxZ798Zf6R~BsWR~JJF;ie|0&gK|eJz=e59k zRWz+#&jI&8ZQ*=RyU)CWjRt8h$?Ung+Y#>S_J*sYrparP%#*(XEDafKE?wUrU&_)L z13mf5v7Hr`wY!wr_gcy;kPVC)Cj)72%3_S&iWh1(7-6Qrg+Py(6AJs6FA6#xwxIt3 zRq)3$em!`$IqQ1peDbx#ST&p8Uo9)mvi0|LORKt5!_NyjRE{CDI(_cT8C@ik0YYa;4E#-r1R0*hll5&B!owz_qKvL6D9MJ87Z8L zBI&=1q*m_I6#(U{$WwP+LCEd6fS9~moP$?)MGzKi@?IW`5gbgIi6;t#1fG$i9N|p4x+LzMJ;2+1)qhk^U?4&*`eQSf`Z2SR+8` zy*f5!)X4Kx{>xDIx$$~t@xsr!VhBj>D$#ovI{wPq+9Gswa~XBW4W3p{(zHD>%4~TQ zbqG>I#l&9{@8ctVhd66v#edZX;&ybAv zjui1IE-UZgZL#c^3UzYs;Kq!g)aS1|z+QgoDM+45w?tK|Qhc#jtU=@b6Ex*%iW%Q8 z5QS8U>N1rFD6Onm-MCDW#quE=U*ibB$@lXY3%lq|z*rPzgEzE3=!a-CHWSRD_{Ss9 zQiU$f8ZT%+0?kyE;GpQ!sNdGS7vH;qDCY<4)~NBLwIeVWeqlo&Ua#1%6`mp#Szphu z?q3n4O^Khe&l5m4@3@By6!)i6PP{48%VC0Ex{+H2w8-!A{D1p2JF9zxie_*uiZl#@ zn0!seuAct)N4)G<82kdI%Ao|dmkbWlI3e7m2pM53PhJYweI^)neg?FNm3 zN+b+w0%Nv1^Mlo|6ahnB#DU6D-8J|VO zC$P!$^onSCw_Zv@iyiB{R8p(b4w}G@2)f}*g+8SR$7JcNNBRu!E7n5JQXdN3%l#d} zpuj>x<&oPIFoO8>;6CprBdt^{&08X#M+-Ij!N zgl?+$%Z^PqmHgBc`!g=)^5j3JB#+U@6PUz{w>6RDquhxtQ1BXn=FL|#8Pgcdk8adpJ4+%x9?n=n zFnHc;AL!R~B4!T{@dM5U@-rWIbj4d;jwR^EO4Oggy>j|ZYc<|uZMF*XFyuXVjH!Wj z`1`cI)Tj0r)66VHZZW$~-E5#%gY7P*vVSEX~N7HmLG)oJ$!q}BN-27F- z?KQP$95TIH*~u?KllhW9Lb#@I(KluYskrLU@ohriu*O+x-jJGw3cY1XF2s8EkTr66 z6Af>@*h*BlTl^Ni7biW29=<+fps)0^An&jc)c$^K>W1;Ai)p@;5;?k@_IZmUwG0@M zjr*bb107;L^6Xq0GqT6&odLF^e;_u6P;{`xqJvSUY5koF zGx;Y#=E9Z8qUC92vj_dG4=Qef{L{Yc4Iix;IC;jnjGEv%SI#mg^^qD6t*L3R7rfJ~ zA@LE=UEG5(=Yzh@_-!^RTdbh4xUq}l!Hv(oPsZm+h^6pJQn?=x2UyCX<{^4rSRkF4UvNY7?RF?n1p?GTIQ z#n1|PY3s@Pb;)S*{Afe-ye&|n2o_R^I+Kdq6>z59ZFo{7>LawKJkPai6&gh9zos`4 z7Wi`b3wGCOMJrakkNmg~ur@?o4M7+b%yPoz1kN$-6yH0(JW0lYc z*(QHG%-%}0b#BDcguk^DYRlQ{IC&QgukU7CU424As*;b&Fzel7vp|>5DS`CX*Q-e}X5r zA;tDH0*YJHQ0$Xu?gNr_yR!-^P2~iAsRxtfvf0!lbOc?}$941}?vNzSIY|k84m+(o z?f2@pVI-rss7TPl>Bb*$#`hh@vIr4=SY@D;?^S%5xs$##{rkh494115FU#nM7x7r8 z>KHC|eUQhy6ck3duugj0pTn)$H>KcXwLtn_u!TAL7wKGFo@bU%zz7Esqyr7Dh94mg zO&Pd@c;qWQXU4464@J}e28EvtX&uEFEp)7{tanj^5reZmM|9)mGUWl%V`r5?KFF}J zd;KPDu-2)wA&5b_EQC~|qe1MV62i4*rod5-YkD~v;SvB3suX;Xt0GXFuUE9`*s^P& z@$|DYQ1h|IiG-;jeZ1=op_$JZ2pT@J3$I3vk--TrKGJi$fgjG@azKIIT<7+D{~3S5 zaXqFLjV}FjJX39*SduBeUxZ?|`V@yB^(4tL>z1q|Q5*buY=vgwVW6 zC&D#)(3=#-2&_hf0YL}|5j)etUa+Z#JV_s5Lal1m4Z#EWF$)M!1qTyNDxdo)wx0MV z1Zko;lfnQGKiN-P=}n`*zLo3Ay{nsg#S6_|fJFN}gDV#fBBAkDuKR&n*-!SG2!J)nFzrWTx zi&W7xWoK{&YVe6>^@fqFrWQ0FG<(qc(@F<4;e)KA0)0OE4tHM$I)_|!D|ygP8m`ws z6GT@%aa|rFr7&nqC36RIR(Y!!p-DtU^|N?ALp$OpH{Li@!~M^(gC^NUTs?nU+!bDA zOCOanF|&j&Eb(V~r~d9{vPO&C47WynWHwLZnugt%_P~VubsUg+4`nGr>4L(m(@-4K zoCk3qGc9<>!3a{ctzFe>X}Yx80+t21MKm@kpPjMQ zFPV_ap5@8NT;USck;^)_hijky@FLlXEI*TMktvSj59jiGRe!}oHatc!vxa2mgXH^toDXv&NY2hUXm`9e~5o<_)Ny7-Z#2w z)a**dHoPd_{*7hi@B7@BJRinnICv^4ID;zW8yJ^FO3w~`$VOou3`0n$KQCSubt={P z@Id}DuJAb48!@SSK2XqOu}qU!HE$M|9=I2)qt2I2gy)X7iq~CNDWW$F zJ=~VU?13!)lir&n6<}O$VlX?Yv@;H!$df$^z0H@2FLz4@xi935F~|A&LlZ@A!&2TO z1so*dZVSO5+&=0RqX3;$HX!R?ke*(k96U zV@4;{#qm$wY!;=YCZqv+$B8y4CQA>>iC^&UafApIiw88#{epw_!YM8h>`n3mwq!2# zXu|*ZAS*C6;CCdb%-_suST0gXOX)a`EEFClqv~Gi>LK>o#cd zx6o}*8>lZ<>mvsh6QjR20bF&BDL!$59FGC~n_^c+ZaxM0ND?{3Lo*ApsQ9Kgy{zSOJzWE?~A(D9306T4^-BWWwE%hi)9gLyDrJhZ~ze@+GEPd7Bh zx6l>Jkzx$O`bFG!b0fdLCY%)C(~ZMzJRjiX=*|HD?WP7(n`i*po;Rr-X(U5b{h3D7 zqIvx34jE(hH^;pgD^1r2+mjT=&L{i$*!6jhL|HkFTQ%D>dE~=m3&YJm{MSDymfB>p?AMR{@-41O@g&ApQLjmAstggtK9J@{fUBRRrl(B{RD*{ApWB8QB<^sa$=jId# zpIn_bmp*zzwM{qJgIyV`^He7<%46_wD+APHLA56^ z>mzun+f+q*hHJPlXrQgaJ-l3ctEER?#$S#9mKaIbyrmnKJRPuio^Cd$y0; z?_oK-f>(!eg)sin2FUvq+6 zDcp&42f|SsRvFj*RC|*mv*RTUr?yJq8`Fa_l*j|RGSO6B?x$V3I_c(r;QPC}>?J@{ z=NNHW20ib-J-?#Oax^Qfyfex1p3j?JaG3Gkg!W;!+;cg2#~#qW4g^LQ2S3#_-v1m= z5SH(DFDxWYb09fZjO>!p(TMyaMnY3rbk@h2?rZiNBVgkFF3Fv{LWQXjg7U9ARan~j z8fc(t4{GJD-EGY^WSMAkbV$rL_3txR{DA>Ir8J&YWtWPFjmFX8w8xJ9#>2}gv=6sJh;3IV2I%3q91A*- zmFpbach~FF*MAdzU!~T2-9(V81LeRN$UkQb2tO9WDYtA47mj~VnSV!ePe*J;aT$fa z`9oq>3V$~w-mX?kwVk}0pg*rmcKEz*WYorIK_=d1 zwiH>+W+FemuZ9cQlX*MdoW6T8_5R-7#J%`=pGm;EL%0PPJfA5N#Rg&m5idAi;<3BX6Wo{n2nn@A)8jmZiFW z@bvBM#NS(zVy{J&(%cQsd}++?pGYsUy6LSMvOK3QVl>r2V@~nQO6Q{NdVSP+5*!58 zHeb>*CT zfcAGZ(D4B13PojrTEe)39@yPnFX}@Fx5AD0F3SYFRG0lN_I5d?z!H6T8t->LQ5bse zm2E$(kI_#V#;y^yyn9Z1`((#89rPs;>bKF795PX^lNID{Jb`2||2mrJBckM?Y1jzI z{?KYE)u>!QX1os7Jw%fv;G4YRL)%TG!?8(uky+u(-Hn3K{Uh)NYu&`WiWR7MXI0~V&#BZ%FgU3qeTQ&eym`fq zj#bJuXG|qg+l$erO*Y9SbcMY_eIvU47%Jm+vB|+@Jt>wR^R05aMRU(nCJLx8QY?ARW zmbNq>P}S!6fpTv=Xaj9BW6se6*^#ZcB@Hr+I`x=&IB5}&!?U$TX?98!L*;DtmdQYN zm+Ayk8~M6aPCM$4r-FE+&Mhw~k;hk}9LUG$Ct%kur+Spk=r5Kuf%FaCi!^X|jE4gW zFyn-rxAZ&%C9th3`$)NY31>Pvue9#9juVQOQV$G?I0#0KyDJ{-5$c;KV)!ESqCVE6 z1(!phCel#7HH`DCf-~y{y|j7Mj+X|B<^{<$dLNxl@I<7tE9mniYtFPEj0A}cBgi$8 z_iR&xTK<&MC^HRLDHxm@WvPW^_BuKW(ilihnXvs!PD{gDgZ$J6r@bM{KfG&7-AHnn z#C3Vng`77cPsJ&G7NHl$gOGrp%Wmr54)+HYHoZT*_SMKud+Q^O8?J;QsEfJZ&-Cmi zgV-Jkrc15VF)QtN+ErW5(zg*b#76s;mFXRd-+&T@O(Y>bxE{6v|6VB`T35fOz z?7Cy_mXjtslalMb8c{;vd@uf%L1-m8cBx>P&7{?qs+b=ymLT2dcY22t0Yo5R3dVfD z?oa^7cb&Gc4OvZ)&;b$rr8^?4jg;O`*b>TY5cQMeNbga{P{Zqzx`_v%g{hjGNe}#` z-jH7gKl5l#K^Y`Kb{BrB(G%rb&5An-)cj8I*!jZ*1}xk!Gi}HaOyiakrY@4-cLuXZ!{3{z8)A^owK_hdM;ddDWHtyK6G z3wXuH`Z*dO-Z_7~Jj7O@gb~ey1BI>KJ+p8o5f9AD!~K=Se=il_9HqCCxn<>RgAWxH z>Hjk*`k11g(AXaCtk;gQy}i4sS7aYt%*o1a>$opvs_L-{o?iGa$)yv(^M8x+ecZx@*&6`pKsI&FG!B-zrJgff5>MOFQEd=c%~F6+isr^4<`u3Xy?|111Q zVLM$ntCZ3_&9X66!QuYd{_X^)Ax<~6Q7PZ=><5>Lu@!tz>csCwo#{i;hfly&K0$PQ zONfn@CLHRiQnqWx;D4#`h)OY-E0bI0Q$2zb6PdSX686b*S{qui%*3diE{unHX{ArN zcRa^NVnaq|nXTb9Uq|uU!4yr%EA|T@9vE9k@}k&IlStX#)1JRRc4L#*xhm;rDD(Yh z;1eg+hI#hLx*}sT$OBh$M&4YXzpHq6Nb@bXzJG?jo*N!^nRfp_HEIIs%;1Q0s=}e7 z!H;94wY5L#Hz_0*bZS?25u`UYL0WI_y&2rt8fV_Hd;ROF8*Q(+;Hvvc#X^bng0|wf zT7k~I>6HVa2&cxeH9uU+c>ZpWKOAsbbQsmh29NB)S~i!0?@)3_P;D)PNkiZA2l)2Y z;O93I+@n`0CyjaVVoGN%sC*S0$E!CU0ofjlAdF89Wg9(R>xtzeg!U(CmzTTIR`Jl| z)TZeHvWg_hk&hLWIq9E_LLIwl(~w7dcn?$(?VD2A{9! z+Uc&;ew4CTznwM>Rg|vIFr;24_&#rV@pi{sd6Q2G@x}WlWL^Jt-g5+*HfOX)iqGNI z&v_=h?bf2h!^q9!31ox%{AWwE_IIaOIRRC!#2aIhEbUvqk{8h8Y4z|uHf)mHv${KP z!cKYzFH8rC+ox$eRd;JLDBU|fNdyG=<;aFHNI}^~LzWpR$=`gFybp;t{`UWjjvpo| zxz0*@!$mYu3T*>I6dpF9uZfGQONUJNmc!UEFESOQ&su1+1_H>wG#73J|7}lJPXQ+U z2LXytsca1_6vayEL>rr#V4MMAfwwna*=jY_EVyx3)1QSg@1Iug?jWY9={wo0Kq1!u z0f2nZbGa&*{ZhHp%jUQjgC$jm^P8*I9m(t^fk@$Y)m-2I^0A4x|jLFBb z_nwyuPa7uyQJ9QSBh2W%I9oZ1#?YnGGL3ik_GlTft>_(m1Ox+=&vKU5+u9>?S2sP= zr&q18YMOI90|CvYxsEi!$ivWNOSfH)HE;5?;*3ls8;iwNCw?J9=8;#)rHQZo86VeSkd*SYv&7~&S4GfPXrGZEIvFmSatCZ-N zyRCEH!ojyiZ)ovjniSuE@T~|p{~h?OUigi*bt!G$4f~bxm(B*0*W|wUmkw{6Vh@=w zRLT~Q&Ln+4AyHJHo_SbfTKbn4mL~4Cyo;9&%6J__B?>fqyYB60z-;5+EQx1Y zAxxQFe>}eYxP$ej{M`^uP;pDVVKM_*-3|uw4puGozDXLyOxBa>E!rO!xZ%d=raRRS za&v!qYImWmy2Tr0zR3*)dnGQ|+r`CB86|t+jRn`sHM*pSU9yqc-B36vRjJ?5SGcHN zZbV{moX8;Gwd`ZONYWW)fXr^A_4g(j%6CiN{yef{^ozCbV#}kTKm=pi0dE9Os_rF! zIzPc!z!Lqgv8cjEPB6YHaY+G{SP)o~eckV@pf2RlA+*B}PFR3i=<2N-}Poa=j8*b^2S2$16}J$MD}z66}TFjNeuR zGSUwfSuW7FCXBH3GDATPX<4+UsrG8 zbVU70r>HVi7M+tS@Og;~j*gEb;4KSHC0cHgxTUb2boKy#F)|pc3?-ZQprPMvNxVP6 zw69t|_qGm?Zt7Od&F~JIgK(D;yFDQEbh&$J!Cp8|e{d6F+|5s$wSBv=5Rwn7M@%{{ zmFaLc*#^dIuYJK<;T9dOhTRg^*BR(}Jki3Z#R_aDapKStVXk>~*m87@$rCn#a(1ng zneoSGnl(5ym+;A~ir7KM?uzMWzFaPi!_1i75RF5`%Vv=2PbEr3)Fk>LGoi>U(Fz-^ zk$LOSMQxzXv#W6<5;R0Aah3(2zyPZ^*5>m`WWV`!=DsAD_obuT+z&`nFdJok ze$(Kf4?#UVXc(1tk4S;PB|*6w_=XN=(7r+3T5H#)PW)!AA&wEg5TIVV`C5QGie%mq z2MBfDD}%O^B=$`W)gXBMa))2!O%%-huY1Ct@BctF!S@UfGD?|X$XmBT7|&H^dHE%5 zMEKw%BmQNRQ5)gVSld83`ccq+h1I1!C-6(O+4yL*|H+!LZe8IvRMuJX3oY3I8S73+X1gcFD<7OcDAhqU zsATLio_kU8jSV~`x$6Iv4|+|&@HI9Hf2*^VE-MzVSd~$^?w$V3VBht-RsEJ6chOg{ zL^;{1kR|IV=jxyos$dJy(Z9|e^*4U~u5JD3=63ufgsNB^KI1u<#GB7~_;!h>4kpGV zQSKSgX7rVTdp88ao#PJ%onlq(wvr0j@=_$}-iC1=r3XmGMEUjVER9^CoWb_fG?njt zX!m!iXwyPS*StK}nmCR)BWJZdUqVQW_7g60{K;ZRpqaQ0Qv5UFf$f=^Q8q2OllU2B zL9o;JIB(9Jb6pw0iHsD9U2x9kdhDMP;5X$!(qk+9HSs@T3mUTYzlHtf@fUTVHEq@r z_eM%Z=ISmXLlFh&rmlGCme=v#hx;~IXX-vTzWk-pHQMQV`LW~sCVt#h7X~nDO+V~< z5E0~Px2c!Lq#ScBIp&I#u-3V(Dk%E6t9cv+is&YS#2RPjGtM&%Dg|vj2npyB z&O}irsX&E>D#bb;H;I5$-flj?63(``Zq8cMOMvd0HyBWN6IhrH@nfi5x&~ClOz39l zk>eUF6fI=ja5HA;YC1{{4gKA_Q4UKZa>Wh>(2Q6OQV`QaCn2|29_b3?KIn9a^Q%?) zn5j9#2A`qJ<^DyYsoOIoh!!puv;PtO2c96~CL>sYd?Q1jRbZ}lSgb97)xCV{@$P;a zn#F$OSZG9oJl03(^}&X1c2@4#+d%E8S1@o}>~jl9#$5)yiwcy%jQ`1-9GNBe?rtr~ z$eNMGJ~|-dV(qkC^QChz-Dv04fB@SGJRqBUcQI;mR7JwQ{nq`$$ZiIs#$HRrqY#^B z??n^$=0+d4q^o`j*HCGHL>F-G{2!?Ps^s8lER;!3O_eX4#Ey+Ba*L(0q!BO(b?UX8 zENZoU{E~G@7PBsL@CP_srzp1Dh;jj$2MayRAAlhbWUhEJxU zsrYQbesC<_n4R3+@w75$s%vL1Yd4zQdQxq-9PtvU-Dg~J(a=0@T>YU%@WRH+m4mLxk2&Qnuk0elQ}K07A~c!Nr$8mXCOId8faDURhQ$tblZiM=4OxEm}c^ z`e!{pVg3O+*gn!Ma5QJKf{sJ}<%u)C8LIw8X)u@L27tv@~-4@1Q$d_3M82axZewqsF|^C6P`b?q&fGfAYxLLSYat@#ICWJQl} z>Tsj}^H;rk&p=7x}Yh2N1=FFcGyu63`Wrw6`fvFz6AwLyf#0wQ>cmpx80PT#t8ss|L?@W}^ z96R@(_tV|^)kUXI@QzsF*zJ90!?KRh-W#Dn^Wqq^+SbN|%mKky!D0V@AY}c_Mzhb+ zUbg*CWJ-Zkvz^pjJJWZR^3<#7My{FcHmY;9WXY`p&&&@d*@=Q2lv@osX0TR@l27I# zi6XXs6&F!!V3lM1=wvJ%$aU?z^2>u1Xbs}yy{UAV$Z7tr_kR_Md&n#ruNzUlY&+DY zX81A~Vs~9832SeDVl=DnQ!9P`u3xc288+E_K03W7jM0#m(MVVvo$rwX7tabBrzCAf zyl!r?@#TnU_th`9^kLA;K~&_3pXDXwqa=!$y40Zj8E0Ic7D!v_(YgD^7i7;M4OSL2)__T>8+fH zjV9r6ewc5r;A6-`PaXK#P~xgm3bEyN)JL|DyXMr6MpIHoCxg(QU<1&Xz~J@MA5OfNG#sfHt>qirRNR0S=eFtxorSMXOe;$hLWh;?i7#j zcQq*Y5+tkcs^k~wJdJK}TL%;kVs9XAzt7_%bw4&VR?p&TBe%fKMgwC{!_GpQa^~Dq zqGc8};m}tJ4Lob`O|<5#sc5f#U_g=P`#5%S>PT8pHy|)=&mOYf?l|B+vA4Et5M~$v zI^m7-SiL0%S@nLZGd3 z4cVZ-E26z6;HIBjEcrzpk6|?(+BK;vj7`VOKbU>kG7ALc@L1zg{LH(VTCK^*JlE8* z$gi~EePCnokNsVX3GW@mQ*ot>g@l|e?w?_7Hmi}Lc*{QFB@K@`Q%r=Yoks6KCJZJucobseBd!-2tJ}>o3J3 z`Mw?0mQ6QBQ=5eogrL@=(zR|Kc8|=Vi$bIVa>*^c40hQD!qBsApm7tZD{HuW1RnYjtRePH5kTY$E6T2Dse5)Mjs*iNd@SrlBW& zP_a4Aply3qFjAyrraWAuC2w`{nv1T?YQFoneC-vo^c~wxKmZk1RO(S<09NyZ;3erm|S791XU2k5tu5HvO<#KlV zcMaZl&WT>+xy~ZJa5|azs06l@PEDQa<0UpvWC$d3`|lk-MXuedIn|F1)S>w`Z$UB; zB2fXYyoemh3j0r`C_vo=So#k{4tKOGA>S}I?E!x{nn3b6vd!dOqx@x4t_9Jw(*J>q z{qt5J4kZ`6?S(*8u83Whn$FNdf(n!3V5iE#S{gX1bf*;dbrfaXGAe|(ok=jI& z{c8^vuZM48gXO;v#|dv_chageqRv)eoGE)2BSetU@`w<}UfLtEUAE&2t)H&(EB@1B z7w>Y5$qhEc!Cmnr9Cm!lXa57Ww!Cs+s0VyqWuF(q72y=#dsWAOzjrec{h$#hv7}6F zUKm>_(_s9vqPhR~4$1qKMB#SlLB^C9)3zWCm41JhBs^1wXDDu)E#&|vnixsysm{&z zV?q5PxQ7MIqr9Z2e6(uSm8Eg%(LZSS_}X4-s?b>IuO4Y*D6n=jo5ZNG<{?B9sFzj@ zdIkK3Ztht>q1EUuirM?h3_NV?sE#7PInIn*X`jZ7#D2XRCkga0-{iIFvef2kliu<< zJMM)yons7&L)-E>9Wqs}BAOJG;q#)O{tWr;qNRRj5wsQsVV~uQ?g>v-?2l8(51!j*(mUBvM=Jp zI0DtE$swTI!QF#7*0aY1B^T*}35#Feef-AYi`w^+iBwSnuD1+%CQ0&eU>?r}E<3~j zG?XW^G;Jm<6&rzwcVxMG;Iebp30iN)$lZEAR#wovBGc{Eqct=ATe`Q%;-ngaM2;ft zVU#_{l4rV_PVgE#t#7?rvQI9IY#Z+8%Wf0D&^Z9gK4f8muUuowqE+cC)7lke_Q~Z7 z%dW=dvw1Q{SU~evAFM-`c>6rqpqdT=Wwo0`sS+^@HE1@72cvm{HrRkBM1B?{e@U<_ zf-*IgoKCq8yWTsFx!wX^1_b{HDjPuZJhGE|Pc^-$ra9qnXg8*BS|>J6!z1<=h#oQS z#JJ)a9gOOXC5=ubt}B-AcRg3|TG(}z(e%E^2-7K?B$d?|K8B5i2$AJhp@Lc$BjVy! zg;K9)mVA1Yz#1~ORswF^4u;LOLgr%nA^3?=gDc9&vD%Gh-GEb`1W;u!i-on?x{DZA zIHPmNZDyx=RloJ%>ciW6-jMsz3P*;;I>8zR(URjWYQ1kS{q!pM{g0!|MER7u+PO<4 zx*3kJCdMq-mLgk?fAd0V?=I)4wS@xD@uP*eo_L}~P6>I%Ncm9lG|MY|dc*)yINso1 zuTgv?rr?c?arY*gpFyhgc}G_#BPVS@orF;9Wqk(K?pk?lxmN&yJ)Au;7TMR8&AF>) z9ZO~Jy~}re^qzdVm*d)>C1R3<(8`G~gV8*tDB(xx!dLL#0u461yqZt_?@p2y2WM;u zfp4$eJPv@9b#%GBxN&=sseX63#4{yoNbzQJd=#pS)qW)YxDhDtR{7?xss^!X$>-I?(!}ylJ|A z5GijxJ`0RR!3N7iE*djJpD|w49OYlC;j*i?GrL(@tDxti4G9IA$-PeEN zK{~{~Q2!WTF{Cqr9C6K#ERrsb4LpyS$rX;lM+`Z|@OfqY@x=4ynb6T_B#2U=X}jF1 z`+J_$cvAJcg63BqB*>&hkdhD2ZE@(PzF{nGeGlHX_+p?*!k~F8lX`th+(VEEJ8(YD zu4?Oyo(a3#W3=;o9Hl-IBbIfR=n{ewC1i{t4I^qi?6;Qw2ddCx%!wfax~;AI6SvX< z)h5rQbzuD^f{Z!QKgkoirSXj+l?fn!$xy!h7YX!>G+knqhpH(&c9MV6AR4^m&bc!( z&He`}6j?cSxmUCiR7QgyNn@5!6rzMitm-$Lx-m!oqm_!t=je9#diz~185Goi;8G%5 zkq)M3$xf$kAQ+|yRO=Ia>$`?!jVBLQvEGWE$jplVR*0fXFaNQbVL!k7+L%;-z;^BkW=&QHK@Y#9K?cm?x%;?r+&8J68zFn;?uTMwp+ z!`szob?zf5zNLM5(Px7VaZY^n%!f_}Yp)6D96}5D-4!wP|Gl*}3RQ&J8dg4OieDgv zJ-rU^o*&C>_((b>Uhil#o&fs$koOUC&N&mSmV6W`2G1>ZY-?*trZ7C@|2EJzG_t(< zMBie9yU`LiRB%dNGfqEJzr0hNv+yY40?;R6TaX9Z-OFv8iQ`y|B4<)p%bBxWWN+Ey7O63y{KNX8+|ZJ zDh^d&amm&X`uVA37y1=tay>q>`6N`&nS;)00xX-BJxlpp7dZ-V$C4&VyR6^FVA5$Q zrmE5ilZfktn`dA7QCy!kJ7Jhuk*Z86n}I7RvhAb2tzf0xq~vEM`l z#3=~2g+X8c{Zzh>Ig`0L`w!2*s>$5{{z9KSMR8%XBoq#YH_Toj?AGCO`EAy&S?1{W zrrdKYrCV4Sc`u}kmrzE3TA|y7H}WMcPkv|cy_+mZ7+KGqMlbm0Bd>mSdIv=GIv44A za1$=I0Dt$JS>bdDrrlMLbY=DDlrIQ_UWkg8bm>@aTZ;3CxmULS=Tp%ZXT=EAVxD9@ zx_BRSdVpSiv7aw3xw(3V_TG|@u62(pX`pO*bAzZA*YegK|EGS;R+gl@I3XYT~eG(p>wFh?}zoM(`CHg z{hX<~q4e65ed*AQ#+1^(9CssXSV@ex2a?pJ1|$5&(;%Ou$^($2zMVH7Q-eR3TIFwc z*X*4t%KS4sW<9gsQYsZ21$N^ZHOtC;7cR$6_j`a0? z=f#EhjH-q1-f!RDCAN{!ITtyTXbKb>bf5*yvnQ0{FQ-fj^*d2CQCKh5h2gMSZS;C@P9 z#-Pa_^hM~9F21$t-IH$vdTO+bk5%zGL6__mxAm+R(vp0UtKHkG8si;&vs9J99Ezbw z=vC7g%AR|fqC3Qh{@mZ3u!emdk@jHxa8YDm$W1nFVWRfB=p%8Nr;&2@pV7AR*b7^N z#G&h@-1;E%3vREvxGuorD(RN~->}uw5OkcKY1|N3rXrmr=-JmBc6Efm1P1qQry!zs zU+7Xl7j}OJcjr2-G1-%Kgs=2m@f_qlb&WfC4LU6j)t>!hiB$aBaNs6yivT7`p$y$D zwiK-i|IJ!oBg5g+5-;44|3#uV-dT5QEB4)&)Wvy0p_MXY1@Qw$ z!U)GekuQoCGk3og<%TLwiLF&-XE+%T0lAR8;MCGM4js81G*iO;4-~xz8s$|4EcLgHSI#j1>KAL= zDr$6}ANI^pe8_#Y(tB<91e;Hdd3$3ERg~I3q|_>-%`I(nA9<*~5@fIJ#ZMP6XRXQ5 z0#LltpQ&WB9X7;1czqw_h`*VO<`hhxJ5&p;8}ye5Suiz~`Lc?ilT5LLbNDOam=Evk zd%@?~F=F+DB-XW*^cuW3;xqoV{oAEXCOqDzqW5aVkyE>AcU^U^L~OpaXi{KC zfHr43U-IcFpwX2sW-GAM3f>WHYa74#eWzaUo7CO@=jp$10h>`Eg!@_jLBvxI&)t8& z?GSq10ob%hgo>0gRbBOn^RX7AE&@$=PZ+0)0_g8`<&E%2lktthHy70XE>Vf(&^I^5 zXJNr|ez=O!j(}W!QY8_b5}D>*$b#%!JOQx^cdk$N4Q|##fiec#W&r76(|TlZlhAOGrLCm;qTT6#VGA-cuF&@ zVM7JKC$+9V60r7S|1ZvB_|8oK#@l>$h3|C)Ahyvt@79bO@Q)_K8{cFvv6qIvJ`mO1S|=#x{)`i29u z9TR_u1oQNos4#Nt{7J#Hct~Tjr{(hE+TxtM#Bh#y#l(rlaqOp#@ zf{^IBcdJ)?Fy-;cy5QdOAlz*50Kg!m2)*NxN=2;&WpIlZdSyJYKpaX3QtP|PN{vX0 z)#<;7N&>G-lag__$8_HS*&{=~r#ywL<-Fb#&}n({tgD~InyFLKfkVm|F}Q}C;gT73 ziIrTg!@OCiJX&MjWfZ z$9&4!saBtjqF51Tt=l0$WJeuax$g`Elp{Y$15p|=Jk0@m9hEh8S4lCZL#j_!CtI!uUOLyO@k zLA4ol0pGA7e|*SPSsg%hatBE{d+Cv3iPZF;Re>1e{inb(_Z^@Z)i$7g$x6pI-rB&m zP01JXmoD{eyVM)70_ZngAgR)A*p*A*;8>bt*67iC+qiM+klY(+;ux4`uK-m1?Q1to z-kcMSxs4u3;dfmtciVxY>>BBxH4~M&%1EE3?PwxfM|86t%kt@u&Cava>In3gwRhiK zj+5BC+dNU8?0U@pODWxr!rqV{4`vY}iAG25xdoothds>!NuK(Xut*LWOcZyIebrSP z1Mrrk`4$WZS2Q`!v!rq!BvX-6`t~YH{j}YFQfG)^^n%DU37cnERWW=@cLAn$6MMnh zQ<{uvC0_Tio^J}(fo$ln)P7p{#K0o}4dSK; z=X-p&TY$a8gHKAgX`pNIKH{|fK=thH_~}>~-AP`hB5@j7y_-a)i!RZfaldKf$~i-2 z|FN$@?<31ti=S5o-up?Ara!J7(>m+zG+0q*)s@RN*b;i zmuJ?a*qg6--l$d*dLNbvG{$lg7(d!{MGKjo)t`eqjJ< zHjgXGChFe=S#yw0B};?fJ9P`0YcKJ>qbC8Ig3~JCM3276wuMYW$OTERCV(lz4Rg zD_1b;W!@ogC<1W~eA<#4oG+C(CS@re??+|>7%YNWSuV#4|Gj=YEniei`qA+A$l<#g zde@l7%-T2~?W3$#Iij4t0beFf8P%$JnC03U#JmNYZ;z*6Sy4Y|L6HSDuZ-XgcMejI z10J!GI9S^#sl7LX#OKm(8dAJ|FICA?_s1bXPR9EGHS{dbIP{jj!KLXOL{3Kx_aG%4 zwj5SvqmmP%zR{4gw3F2e3=1Uuj*>m+u6}ymwDir;5r^GN8DqOk?hZe^9N}m@R zSuUSO&YFQFzb`ecg!o2{onFKXXu>v4;VU~yfnvh>ariz4yt_b*xT+YmRfeYG)G(R* z!(&89Nh(_cZK*@YU*DcG<_rDtDS>-Wv?NNrF=7T;L2FqizCFsfG0$S%ze!ft<}1L-5gMMRk;ko;{96s<|S2Iu#9+r|q|r{^n5 zma$@>Y7URhOXJFbR&4_>-?qFsvvU`T53R<5nKa~oIe%)ho$beN(ZCGDQSpa@$QML0 z;Pc;=CDN`0fdr!EWtlE6=l$WwCv1TMlO@NyU3s#FSy-!yQ;}^mKq0Npy-Z z;e0Dbth>j_Bxs5bZ$`)ItQP{3Uc%hwr&0}3+@j)s(NNOb%1KakNX?2FZI>ImhbCLhmfEGyXyfa_>usr(5Mw6sjq zJ@kg1>t>egxSrK#R5LO?Vuy;2|L95gQow&2!E@_qp9< zaKXLXXTfMNM`pj$zgrn<`E)#4S~z*l6D10PTCZ7RoX>WGgGCmXE$Q1Oi!7)b!dxM( z#P8#|k1hC#J!83H$nfwdxstCUs+n`=4>sd2!ZQj5Uhz;`IWStywst*h*9W$JQdKR1 zFK^k{QuWyNfaX0|=US~Y~ zdSZ5eNXE|S-kzuW_lNZ%fkI0)@qgJc>C2LT8UJ`3{W+Dq-rGgT`_Z4_h_dNMTzi(q-+yQ%0}d3x+)_{j;b-&=j+?8OxpW3fT3i2yk}3Km1i( z@+~Z9kx-!vsL4~voKCO5w5LpJh=VM0O<;3_EM{EEUJd%(?yUvu7V>yG31G8}0RRzW zojNa!8(#e^45)7=$9a&xZ!Fm;9BJM7IE-$b-bZak!;n!caM(Xh;d$mC3q?hl@ zvlbFkZ<|zsTupqbO+*OI&Hllxo^Tk*uq+)afS&Wr2sz`IF24+yIQRd>$hPy^i!O;( zTc?o>^2XN*^Hh2zP;f2Ves#D=dtSA+JoA;6?8^r)hIy^&nTy_as__;Ooj@g9RTq0cEEbdetcN95R&^O|CR|${=!y7KBj5ezvyHrS9G-41W|)YH;2T z$xsTk(V?*KUtA)?$9o#UD?~TR8}&lit@uN= z_EVn*0s@RzrU_5?$`~GU4A|x-Ro{uqsrdDvTmFUNe9HZs$(AOhSMeg&=eum0qWf2? z{JwUfZ+=jZVNfLZhWXOxt?1;tFC?7jDi9Lv$IE?B4(_^LKA(qTLn8^VOn14R^p+C0 zJesNUQu}zH{d;*sb6Mu$V*hXa*ZjYh{@@RuljpL-5?;XsJy^hxl*Gz+=ZM5cF7;pv zEd`RFClUAm>1>E3dm^ld{qHumC2&)xDlJYhBwQTm&X2k@U(7~qMVy9TcDE+PsJ$GG zW>J&g{H={HaIu^Ke%`HCvZ@9FomT%1x5eVlM&Mhe8eh7;u|t|~6zxd+cv&N~uiyXi z5@lY0dO}g1ePSMZ{hqA>Z>1#1j1mo0XtK_C0Vqla$kl^yxd(~;0lzF`)bE{)9>}6rg9Zg2XA)~Wx1)XD6j6&p$0z6LxPNPZ)^!F>Ot-IT}?75K}4Fr#`}7MVz1S05#b6-#yY0`qpH91azzt z=$YS#z+jD|^5ji7mT8+izkV@?yi3vOOm_<7Hi8_3hCxQbgd8p5EPCzLGBk}`dnfTV zydqS%=E-_GK)br`G3*{L5qa|aDXhmm7o760gi#7_H=LRW&N>e-!@a+;@3tVL<21d+ zh4gSurcu{JxjQT}auHz9^W$)aRh zrMmgjyqLTX@;hJ%#{@&O$*S_oj6GT!owPo#EXo0`r3@F;EsuZ;piqU3$!2*&7r=Nq zlZk2`iZgZdxN*%!4#TN?r~<1$zB5?ndrYQJQ1@4;1bONnei&tW=yA2|nF!&s>tM8ou%s9z(v&d!FZ@A{-0~ z$0Qu7Gya>4OW^ub9JOI2FeurUWovL&*tPWbXYQ|oUn=yb&2$E-P5PE(o=-OJB5$xI z_fFbUIo5dE=Uu<#nm5IJZ*--vDXyK*0m|Y8oiiJx;lbm1ZTyiL(5 ze4>7+Q|OD4`&_P=oYcajsp;Q^)>1j-jD*iqzIS;32f9tpq~+$`tiKInbJF7 zfj8!v2{?*Q!_D!}d8UqiW|I|g)leBOr>`X2=QzcN>WjtB`1s-a=E$6i_?soc#{yA@ zd(K0=SmgI>e#lDG=Dk-Prt%<{$ZUxQ@-2@;a02Wna}y?VRhF94C)_zCFjHTI)G#KV zFICG+a>ATiQnH(v$4}Q@Stv``RCfYG`dE+!g=Mm0eg)FV7V9$jAU3c4&`Fu3aEbSm z-<=pix}Ael%E!B?weZmE>9OMOc-OE{g#75K*p95dK5*YuwbR*&%(Ls4px!0N+?F%p z%?&1$xozgkMr<(4bFRsi6@Z{EcWl*SMwSXz37X$6e?pMgf1?HD_}+x0Xe&DS0I%WQ z=ao9(uD2{X%KAu!%Q@p)3pq2BoTBy@yD`FH+XW(VMhx8oGMt1ZV;wjrRHI-stvq5r zCO=94CCJBuRD}Ed1e9Q%JuRslaFMz4*wh<6C7ln~;W_7Ky61s& z!lB+jvC=kP6sit5csv?Utf4?TD7}OF6-v%t(V8pH>pG*4v|U6KeA- z3X=ZhiI1IFKCeIK^p}m-NK9w_3seS5eqJrbA@JVe*Yl$sSp+?Dn)4mc_UAboiO8z( zKV`JX^)McIvLM1G!N4P8L{1)qkl}7>ALX6m<6P=S&jNtMjO@qx{3s=qGMKKZsQJ3k z$3{~K1SL$6@5Pb~gXExsE=cXuqm-lmFS63vAv5hfoN9~PyU+1qW5R(TOM}oh4~9HF zIcTjY&ys8#nyr5&w(^)e(;SpF3^Lr`bV+2+lDn9=^FL4-Ht#T0Z%@C&w^-j9PierX zNCDDwIpM5G2#4yBrRKj>;;8hWlsCAnCj06V&cmchZU}LWXUyRVFr9$23ktfa+Qi0& zG4v~s94gU*(9I8U4_majCgdp-wmcwfb?t~FJyy-3&+G_vSRy|HP%bIPFtl3~5qcax!Q z#`ig>LgM|RZ-Iw3zJ-P!G2L!oBkSV$y2S5`(L)i^Z8)WBl2fYslg-7Y##J7N3rfWZ zf_ZKN-!|c*=}iI%v8ijsR0%KUyJvg7^sVah41*_;THh*=k;VU|CsErO+89-fa$%%r z>GKbG7y6jBi5(BUv5Wm5sD5YUmaOJ&9kxOE35P|1?d_*Ix$W5w-f^LBoChQFnoPP4 z{(PNiOJu~&e`_RXu|tXrM17h|#Y4IcJ|DSJLK&q2LG}$lQj4E~-=7O9VrP3wF3quo z3i}$M?Xz9GEe8Bp4DRC0X>2S+;Vwlnxiq&2)TUE)X~X6BshX4rVqWlZx+aV4#7szq z*3ZTJz2;tg>z7+&9c|xAqUW3>P{QTUgFe21F-H+!%6B99R1;@T#1JdsEX~`UY{k#o z#`U>fyDyPkk}KD4Sb?{2MEB8ZJXk=dW!Hz5%$VB}^{hpH2;45@d9}=D*ltO@r`lm% zixSM(b*8~_AVGYM6wt(_FFSKb^gX6^JhEJip-D|VCv;^cPVx~Sf9D9lDPfPf-A#5a zQMD18;W z3<+!mo_ik44~M&b;zlkjJxMyko@jME4FFxJvJH|ylwG(BBnRe!*L?(=8~Zt(!ejjp z%=i^(ce9*aLuYy2VMs`4z7OdKvGM*!EgXsGCn?wVM7E~Fsle@joK<%c`* z>H@jvg)NsKZgDuzl8c>uaA_YL^~_JE(e)JUQx<7CBq?Vg7BQ1-tFV&TYJxSqIy8Qm zQ5%8Z(Lj(aJ2a$Y0Rg4T4;4>4a&th5O(^zcqZiJMmtCXUbmo{4?ClL|^cDW(O-XR3`ubFIXuZ9t(1RHM8ArFK&)Jyy0xFO(hdAQYk+v zd5vrdJ?vAKE<##7ukD5+#4y8mX&k&}mQtPT&P#IMSEvv6`%#A?a8Phj2uLGnuJkAZg;#g^o+Icl#&l zAr<^aaOd2WJQ-9=t0S2FPN`*eWGG)fNQk9Pc+!AUZkf~+Hp87)noVl+435;wyIRte z9cHrh9O?~gjfoxnUVGJ~$%Hq)C+?+yh|B7e6&l=?J$MD$gAj!&T7FLfd`EPS5Y&b$ z6Om-Uv>p+A|81QOORG$W#;?haQ;m1ZgCN`Hc4;2NkHjO4Lk78fg#Yk4ziRd-<1zlY z@=suq1?5+Hy|B)R6xK(?NB3^@I`lp6nE%b{=G)aby*k@xP5%va8s^(9^T$e56Roij z)cgpK@xD~=T<>hpA0hJ#U*ac?#FGNh-=kXw9zI*m{3XzS5RlZM%eyDKI39MFZmf>h zKtS%@7^n`Uzlb9__>ZO~O>c5x$~)7H2mRCEouN-#VTCT_E9}V8AMTSYUS$XO|2c=3 zD1{}ySAS(eRr{mKrfT?od-{qgx8*okYNGM@;Z*jR1dyZ8LY88|;}fe(A>TnOfF{5k~-Pqs|Bc%i>#kj-l3) z$*9&6)r1_WZ-*MN50+pJb`W_ioxxdRd9loVeifz@hKg0rSjuC_I2&TgVqZKZ z!S!njCk$}DN0;o1(1(=&B7vYz%tfB(OSyIya4s(^wv3(`azM1OL}cQY3RSJY zzfK9aR_nL}eG@7E>0-7K*}tec!d%~XFKJ^vhWGZ3fH{2>>oMUks^HGk`)BV#vEob2 zrw0rQjVnG#kxvKa%Q$T|7?j{deW9tL+r#!hQ2+e~aO=&=zc+s8i_Mk4PCkS*qf73e z9(@|uR~lQKkN7|(2qp7S6QNqcxeuBHcPz$D>-s-+lA1PZ)&)4+7MJA>x|Gs^lQZNqX(A?lHDCGinnV(5LXlj@3!wR^sO@L_LgoNq5S$HVg#@IvxR*Utj zxN5}Vs2oEt8|jKfs0e$*8vjJxI=0|a;NxA?EELa`)6f=C4m2g-hx#RwpAIg+@7q+;?{p*p#BF`7tA&!&#fA4kgtyQXX_pxKbvjH zURYgOX;Na!hgezsdT$~QTDB~s{Ty`ogxj&p+X4)rh>)B&z9nm>ZU6#CKV`S*&1o4P zI59S`^~;S_+qmZRSOM0IUj4SR=^<*)xk9o-+jUBIiU38Y9hSAs zIB`J_)~VtSKLn%YKCeX!Y&vBTMm0k3p7fVdU)8?nDvslSI;jiSVb40??rq7wXBxIQ z&858eUQqKctg!)81`NVLYIr&oJ;e3bY9m9W6oRJbBv2R+3dU~F1t@_e zhq|Z=+!1@B>EGN$oSk{@?xYa-7@x+-{{jAVrj6v+#d$*_mtUVPHnBl>{q>fmlcmTz zI5(|Ew~PtMS}z9I9l$xD1(Aaqkg7_y=&sy;G2Zn?u(`|#>znOzqRCpiKW_(@ed+qV zCZ5e9bCfst=Chg%;CRLEHK~lp81alwFx8pgu`_l}RxXFTbSL=!rACSfs(rdNxEoeR z7c0o3V7F@MqC854(YYJySgB`$8Ku4v)r2y6GZ0eKrbN z`fe$*C$l*HK>rU!Tu{{xhJ6ts``Rshk~?(6QX-!C*9(J?{M69Eao{#!XwS9(NjF2X z0;eOhmaY^yjyd=1;|;$Oy2b>xq0P8Q6xo4>cPK`IRNp>qy-cuI$hb7o?7?Ila3VJyZ%h0H&$#@!FFE5`t3aQ)Uyu5g`f*a-A|%G| zp7Ot^8%KBOe&^1&=5LmS5lr%s++M>;Zp3Ptl~lv;;{KOi&>YI;`kNp@06R3=qi~(2 z;FaB#JNUi9J(O;S9_L+iux9cRl{|0rZi(LSL0xw!W1G$6JeJsJWLq=b5%*6x;(ZQT zEStl0Xtn^GBV=4M>-@2ixW0DMz1tAe(&AeLe2oOjZV9wu$*}yk0Ssa&MJ_{u0k-1U zW=cnqcQ>|K2;LJWq&2A}-%4eA)T+h#OC)S(n2LtjYMbghZSI3YT9JPVY-B9*~$-m+$5RYP;49P{ryB3Pg;t;kv7f~0oxz`3`O+)a^_ zNNe`u%)S~~bGu+BL>c&y$wDkhX)2sHX=hp?qHVE`eb^)#rmFdlEj6to<+<6TX zV+{381C0N@z_*~NJni&ePg1KfCG4e=oyQ2cVG1~W#mLc2GcW}=OG`PLtEt_m{{xu< ze0HQh%O00q4k$@dJ3b8}3KNIg!J7f1H=6esU5j6x^i_+~GmYc_X33Z>bE@+dn-4uU zWo|>B$3;|IEQvi-qM$l0quE5fa0v=#Hs=;opS@>N^)*Cje0)+gz<3#8v z;d_S9owQm7SL_b+GG%mSZ@Kt(zD2F1jf46{Z`Yj)uC`BnB)kQtQQFEX)TOG3%#U*Z zi!l;oXFq*V@7XtZRtWmdAdabyiJL!6bC0$H7m!qIWwa;8C#wmm;2G}g;wO>KqMd(f ztX+Gvx4+bp}7(I=>GV6Vttfri;?hJSi^{mgKDPrt!obwYulv5?GA+VttXDV zjjB~e8Q9$G zyuIf%R=xS|KcyVCJ*+2de=qxu)sfmvj$*_zZJ;JYd<8-PLmLmKm2xBJ9GaGE#tKtI z9B80!B15G8hFoQomFW-^e&lhVkOGogIP~#1#N+0^TQnA$*Q_M48mm>FA1`2E`Is0E z6kZO}nNlga-@tj-c(sZ|$g19q86}UQ8~X!n#=OTI&08Bj9*6R5z&FmvB!SlZGcOO+ z&#WnT31)qS9cV84v-O0Zt^N2d^B;Y;LM({mh=)B&;yPRc;oP-S0gVmAn0%IMb%*Yq z5I&%Kqi}+&N8qu9HF$cjr_te#f516+3G={lfAc|<8}@%7U7iEG0?@=g6MEpXPElG$ z1$Db2A#Imuizi~c8>T8ovocXbS0DTCEb=;;_@8~KLAkjHObHGgkMe8EV911fG0NPU z8vk3kVU;GyfmJ-qnv9i}fX~Vh!MK(k@0V*cU%rK0O?C85+vtGw$o=-|iCAu-<+9|b zyB{Yj*C@?%F6}0DSBGD6?VMml z0jR*AHm-7CrvJgTr`*My7f>u>zhi2Ad-8w!DGX%kh9;cPTnI`;@}M(%@AK58rc zbnC$^MVn#^;sHg`NY(^ZF?aFBPqO{r{0CgLqsL{`Ppr#{ZUy{)hyn7fVHo`rHG_&o ze5}QG0(bUbJiu638o^i|5BwDG5}Z76_k?ige-D5Nk??sfn&-Rm{@CwMTlFAS7L<@& zwIF+SVy2uyH72LHL^P1w_mKz$b_VZAi7^62<3ya=Z-x(wfl%!D#92sqy}%o8SDTDg z@(<1{RUi>1|EAEmfsfy1&BUj;@Ast~?o6D`2#5L@)E;QE=BEtZI3gY`2_P21yT%%O zo0Rxb;51+ImgZ&-XseY&(Csk|{R}EkK|z-aQSP{?jl#+7$jbiGHM+p;QGWjd&@)3V zG*YDquK50mkor>{?#M+wwdtCFhGP#6>_jNP)iOt-p31|uace&tB!!ZN(5)%Hr6?!* zX6zT)B9v4+PcpF3CcdSUnks9Q%l7+Tt-3Bcz^p&t?4(2+WySr7Gsl9__jt9)0_)LS z&oTw(_N+>}$8A%AS=~|TLa*P&jXV2u+jfcX!#b8c$Z$a~`Cd#qnz!h9dz-AhSh2%D zDC{y{y{mn{M`95G_pyw8Oj(Twg|ojE&Tjhkl<;R|7n*Wuown61`Sqn&`qtmI-{+Q{ z@77GH(fB?UGN95~Vg2)mq`k_{rA=#VXWA#rHJXD@zIPU;Iy%#bU77&Iuu62OZ%`TT z=zaw-cifo5P) zI5+;`((09KkPILHkbzwaTCP|Plq+4^VDpcC)&TOxn|M8}&@LBsj;oxvJ+yLT54GyC z?kov0lbhfD{rX};azF*&L8U-a6VNhZLmzUy-qtojXI*7LseC|Ks7yFiPAfDD$z?b3 zo3l=1*RxZ3P8uU=Le5fG#{yPU(uM{JTq6aE=W6?Yi=F}Atr?O#V$G2s|9tQ*h>?-5 zSdZpF@SmzL3$~)ZH)=@;t+{v=!ksaBqYtOPwScdYQ_pvra07p>$So-0ZL(PJ#W_80 z{DnhLsdtIV5VjUS6a1QpUUtY{vv%?@Oii&Iy!+0BOv)RAv96ArV0}tg$&96ggq-t7 zw@7ZJ9q35b&lwbMvtg|`cvVOe07DSNz#%jUW{amQ%uO+WBG~fPC0ep)B-h$88ZLZ@ z^UT7wMQ6vDkCRybvOz$g9|*BrKIKTpmMOvh1*xb7ZY_6)?lCm#rGz4tc{)%faa1h# zA%Zh4sG1`bu8Y(~BTS1Q<(Bs#s(_8H?|lX}{F<4Mr3ef;q8gus+LZikGZaASi@wTZ zwxIgyJHY!-crQ+k58YXlc5nSsd)0E<@ncqaloafs{%uvaRp?x77b3pu+s7aM$&G1A zm3wx70wVM!iDWsSP`)7;*f1p;W3P|ppy`2s8!Z&55wk-L#bHqVwJm@Ow z-{${76k^9~xsrs>340H!cI53>?>rB!jMM z|J7W+jIjOpE=r(x@pF)JO_OWbAA+H;O-;+`VSIll@~^O*8vEdFAHk|bXE_lE#+;+S zb@_+FUxi}*T$0Bn@Mx@a{`7KXTEutX)zX|}b)C!*UHSY>0fk+7GxWL03ZYD!Y{H~mZ``bXyfK+I`^+Izbz zSDNhgiG~LU4#L=H6HbQv4XDu3f;8sCY~8}|QTpH3Iz~1%S#b}Wj3oS;7z(QpLYGjm zV9#PqJ{p!|4fB|p<|eq>z15_s7@!@7s3JDutfLP%p$TmO7*&9uIummozuJX)!b-}& zmv6NzCCGn~dNHT>5WV7ox4EcKP`vQd59}KTiLZ{#)~ATLpk1ZgwBoCCkJ=q*Pu3yZ z-#=K;%qu2gB;(MH7q3QaY|7Q`R4x@<8bM0eWVsEPt1q>EVjwhfB9I_HWV^`i6}Ic_ zsn*22Dw*m}CcXS93fdge^PtEzMqI}&R{$C=dF0E`Ee91zW|!uCsrIGl{aCuJ(6jD_ zRwXL6Lr{?cfAU?-?eVUO3tzJG>9=*2qa@j(uFi*gpy!t_P``7%g8Th4A5MLgha>Jb zejND3xI7Vo(PgMzx@83{n7?#qbs5*SMbu87ENjTq1+OB$HqwUrU#VU7xyC?FVTUm( zSeKlhX;i5PEP<7M<#`c3S2i!|&&Gwz&8a6V32Pi=P9{*`B8>?XcU>;;D*(yFk~eSK z8#*I+_Jy4uG%33R&Y|_0Ckr)5$_eal?ieOH5GEASCS;>l`VhcptGMk0OC6?*a*uJm zKG`I@q0PUGJQt8L(fH~Y2l?lz*3>&7m+|ooA?Ng?*EKn;brPlC93+Q_>R;;}FD006 zh+HP#G^g(#Ych@P(r_hnu__hb0l}8*W3S6{tjSQBM#LhQx5U!Ctr(u4viZ7>O!vUD zIb$J2t0QBhG2-{`(x4#79|ziL2hRiN^e6M!CTz&{YFrGS?z{04I6mI?*_s&H*+@?-iY;T-?>B9@+xl3B=;X#Ck+lMSv!{^oV$HNUNnIx^ z6VJnR3R1Lj${r$LK^Z118;11zzWM^=PjrGNjXo71jHnWlW0*R}8pk$w%F=EO zR+kBTSYE9+N1E&eqN|IZmMV>VuD7g7C#41vr)Oa-3_FP5=K8J41f8}Q3bLt|5NvP1 zl(>~|)AQ#sbFX~hc+60AXpsf!iiw0zPh?BJ^~W!%V-pElop@avEg`L`5i*B>K0uqH zaA((oAy@Hun5KhKWZB0e*z5ppwpLf7JRO}#Ry`XLywyuRL*J?2R%hL`FENuHp)kOXML*&Uw04=~EfTHNKl4bnc_1c1JVomV)%NZhUeDR5n zFY6_LG1CETc~AX$Cw5OvXeWiS^+5I3X5R!TAgS7z-6cWCj~SX`vm@*^BUrXB0b9Vr zt#)ZwY;udMW4I->9^cV)jsFzU74y;=Z;-ZTA}vHYs(Op&-uitIMNU$CFe7&*gCExr zv`S-;-P$K+?_(z5#P>dq7!6S%2W?~mq8_NL>-iq z{r^Dc=m5C;LBQ}?(LT}??ibNbw0bj3%B9KtZRp7x$<|-P?i2^b*3c&IxJtBcvehnq z7`O<5Dx+~VdLITsEtiO^2JAquQQIzQH)yXn;v{!Q0U!7seG-inEC(&~1roO{Fw4Y_NIGc1Tme7b zY{%b@=N>2aC(-UC&{puA_LtH2zqvHsw4M;2A|y%CH>;)X7-ku@jCZ)C9tQUkX+J}l z&NanHER8nvxP^n_G3Cgws%FKQM?KytkjC91@keo$ZjNLrkBMVi0!sbUi@0c)?gv=Z=T~y4Ue4f2Tc2sjn{Ry1ktW;A%~K`WBvQU9q*3ra!chJMuAQxdn5&Hwt;c(P0hlaL~(GIB%AKstm^DpZri7i!bF|d5N_R zPB{fy>Gq6wXodR_QxKrodz|SP?%n`;*zkBwgn-=jYV$~et~}tpr*L_k#6l419Sxu% z`{1}3Bd#VGI$}I>^0BKgVoX~CwqrV-=_4kXL183DORRiz3bN4;U8;tk=Rwrnmk%QH zQ%eKB@$`H@)rbvt?)n!vRz{_rdITvkW}-D6(NJUl@o3hS2Udh3F_bXpoSD#M@NHe? zr-5XUbUY8^9C5ME^Raa67jS!-|7-(+Bm;?%APl2sEyLgPmb9<~t9e<|*K+!dTnD2* zR|TM!&M=K&W+NE$|3Gz#<4899m7;gp>2N^H_w|Owx(lAGts@c3B7DS{%NcyhPQdoj zzvl)+(%u2V2#|~3X2N~Hs=3rpLyt+A!Txo<4wjskND}n@ICUe>ao*LQuycz>fj+ z@>z^%+R%V9)22;zJeH2`B1OS8=DPZ2ThtMOJ_>v4L;OKnxi~4Dqs#Z`&GOAOvi?=Y zjk>J>o{7pRku&4p8Bv7vphZ=z4h?fjnJ8F&I*o883;E-j!}ur=A6NwPAQckbh2m>) zutmkV2R=aEvicU-S7mRRRq?m*;Y8E3b>cBFwtr%fHC`I|IjaS`3}Mn?MdU%pUJR`6 zfX}04u>JO0Ad~}LGxcUVn66?_g8mTV$b-fT&K%~y;jglOEg$q~Cz_f9epr>lQZfLhC-^K6Y$n~CYk^=?|326i* zBsWS0q*G9l?hQrCp&$~z&-;BJ*aO_peO>3A-|=;8Co+t~(E2tQ389O&9&HbrT~b7g zHc^f3)d-TrMYPU$* z<*M$~mZTlL&t({M4R1VP^0IBH3Vmv7BdFk}_9E9och3HiGFNEpp#Oe=p;1)L1kdd7 zad#o$m=~q0wr!lW3gE`{J{^^y3vpi3xhjgFQ`ar|$+;zA|^f95vT=)MNX``bWBt zB76?i+*U$D;=nGn0k5QRia_XUH0tYsgpVYbKCb@Fw zfxaT-mX>~{G~K3JQtXbzOVduDyw2fErzdL->;HGz$Ejn))Ij%9P&BGo z&wsP&7W$BTp_2HURskxdF5fyhUi07Rc%sftE6{kUK}qQHySt50mP$BTJR&RR`@s&- z1)u+M=weD#Uy8gv_V!1!;6BbApC6C%Yty)HzuhrLPk4MZKuE7nRy$pZWzlB+psVH* zh-ffpYS$l#yHiSjDf;ty=23Oqtczt!SMG{d{hE$CErI&pGWk_et!1yHYD}!8ut2AC zQO%Slf4v6DKak4|LuBOQk2QIFqbazM`{^oD`5k(1^%AHEal;1H485ve&zJe(7bN|q zCQmeG`v7!d^~3Q`(D9yN^*1bA+TGl69IarI^t}^PTOC{d*)dtzCUCmauXqg_b1B1< zc3eA2x1CY39cRya#RBS-y0*lJdKIG1{`0KH?~qIeMB*GMQ~VFL(8`&z)B3+W$>g&& z`ICS-ney@`4I%t}`!T2TSJ)YCKm_kf#nSMh)O$f0I;@+|PKVF6t6Yw&Q*a-BAAj~b z^R;^9_Lft5tw!4KurKqQUl8q`lZ6iU+j{5+VdPb>#-s_Ud%ibIT$+;iZ+!78V_+$= zO3{WUwy=u&Rx(XI5=7s=P>0RE?!-(V{QI$!3-&A%`LmsQMCuMaq#LLS4GMd3q9#7@ z29n1Lekr_Uh{HjSj*^`R1h7J1YSfWe!TgIAL2yZH+6?(KPsvifp~H(n3YWvT;5F;YnxV-qhrzXW&q2=H}9rG z1S2fe+h{|XI%;#11_f3Ot$y|nZ^`YH%5^&Z0(;>r&9-hQ%uGFwA}ed-fd2#KN2HQm z0A;?fbSeJ+E~9CcEg7e{FtUfX46%9%fLs|?Wj>UR9ddsyzAR%>tIxdSmxl{;R+7$V zQMU#Zo*7>*!Q_hFds?3S`{|cu)ORHNgLVuEx+li2okXw1SGa&~^`25Jhvoa{hr3vL zQjq-j=rJ-(HWc04LSd#{#qZm-^3LlX;rDs2k}^t*lOj$cdAH+2rO>eiZYx8ECE~Jq zrgk{CFHG}xu`@+9)XURy!0lWlZM?)bbx;sTAGl~>E3+%r?Fk}g4VEfa1#w+Y#lc)i zEOT~H>mjVB@pYxh>RG>Wro6hULN+eXhbrIF~U?3r+7$10`upFa?U zH;20D*oi^i9iU;x3Y4to4_guvTFXYdSza!7FP%)UTMU$_@`{su&fu9-)O2ap!LGs1 z6sFi$Q&+dgqNp!g%Du$m=i&tHYiM+{1@5Pb>tLEG3bs|tDJEAUIU!TR@Rs%7Mu zRoyqCy0el~2;PCwhHS*k%hti{_FDxPy~XtZKms3JWJ&q2@6xd1*qLFk7TpbGbn6JJ zdYoQ^v8u~`ro~yZJ|tf{R>+00mK3%$Rgw5=c#@I5IKgsxOs<}er}W5-OwyAEz2AAx zyd_dl4MPXMfBg6+P0)G{Y7-D}IukrY6V`512sZcefrI{m93!%KNoXJRV>|IzAvDT)BJBnh zthtA|*~_1BTAK8!j0AUrz4k>iblL@r0WBL=w@VYS+;|n<$n#(wke%g;`X8nykqi-A z^Hp0hnoleEbP1)!sZQq?-Ena|zf{ZUr5-PCgp!ULq$Paxf+=dSu;g4voFCSH;hAsRe;Om+dQ@rfbn3(H#x{-)0PMX4k&4GPcJ=n5` zD^>3YgbANpTaEEz7n+1*d$Xq?blP2x7k8L%D8)s-Yb&qrKJ-qI^6D+rMe{COso0Oc zY&1h9vF-xcdVD-q0ZAo8U}TAH)c8ZW zQ!Z#ofkDAPsCx30@a?I>CSox3!oC)UNxT|HY@PR@l=h z?b{dT%1ih5nWM@L3IgU}(|igO<3=7Y<|h=Kn=QXnm!QKF$JirOV{SNpXsv_yMN6K%nNk1qBep-<|BguM`y zus)g%PF*tcd|c~cG?cX>udNYoQBlH>b1~`Rrt#vkx0(END!W&XpZ;^Ek%0FB1;P%8 zH$2)-)Z?tP?ysN>c*Ma_Yi8D@;hU(1CV_?M)#lh3+r!C6ZG10~F$LstLL%7Py=|p( zAk2n-)zoV?74WD0q6K?4vAa<~QzD8~3NA8Hp#CL`x<-Y?`2C(xb4Jjqtt)?&2zP!b z&jF}W9IczpuQv3KIC_Ib8`ActdCb~*_ zaVL|Iam;e`ASq~; z5o<_mdoWx$G(+fOMsU9jd6%R(N0Uk#?QQQDNF1+IuNP@6=6(U72?nW0<=$I>-yuOH zaRTs&7kL&!N06%$RVz!&i&+6Ak|#os&LHM9Sj|LaEWsl9Op;GO!!y;#vKrAMK@5KF z5rC0}t*wv@B3!6?UvP?e*fIwNktuL$!Peg}Vm7btul(IO76&cNLeQgl_&Kx0wM+6@ zj0MWW0b%)kH~2oAMrk5N9PiF3Q5X`QA<_`z_(2soI>#u5XGq<5HZrr@fURp(gx1}W zMSZuFs-$~{QlljvMwbGLa@WV1y>%zY&lSNoEk4nUB6&j}A9BJLNl1fjI5WZW?`78v zcuul>z(mdTGscm(LN4R=Qb*dY_HGTp%t!Wrj0`@ z>UEPlL)(XXK#j$LH}pSJH+r48tzl25Fo@}j2yjo6)g_8T<;Sn@n*9I1T(d}*p$JmX zJyJK)^k7Ttk%g*a7jq_1e)mMmp6u)6tvE{D2`dgmghNFM-dJ3c_ybaeTxENa7G3zw zJ&prKFqu*K93mG9ae!)7$QR`UI%eeoE#L3G2${`;MNI)+3~NE)WLy*$Cn`~m@>+43 zS?p7|jmtlYdMbe{{=acr*Gef{3^k|6va>qoix6Z%E;d(%d!MPHJ{8j)-_Qdw9i*LM z1-;^LZo|@p>)Z27`$TZem&Di!Pf8_&qy4cmYL5%m1RbsbIalFM^)VWj)2z9nu{@L7 z3l)Et(p+xL&(jL}d-il0l2d8o)2f^O^B?=7&;J3q8VnSnJ&TR;C z0pLBDep!{EALCT>D9(o2Q9Vr}$FIP6hLsUP%}^qPxcTAD1RlrkntAva#zGlLM%4ne z8k%pdaX1WrO_9_AiWFDe`Ft%41}=y63Cq*6@_lr@dGmDnC>yW9RFagPOl1d$QVn0S z)42FjEx=#S{R{_RQ(3vSq!GO?do_84!0H#Bq>V`Hzr1J+*Osp|E_7 zFZ02+nuuYXC-kkYZd_O-JuH1;Mh<$uPgIza%zG$l*gAp{Zd&LP<2?BEP9YW4yiCaP zxG#`-&pMxlnje4>G)~6D&x1}*9isb!eMsgMU(b&0v=6O^x|s}9I8B~W=l1W1JpCps zPFnU*F=3Hyqk%~>xk~nO&5&+Px^Cpqz4*yUDR^WRVn*rdeMkD`+d-?nccDSO%(}~h zCo;%jCd9e|o9lR!yn!)Fob($%g;Hf?bDyVgd4?U_s{_E&^zCKrI6?0@&dNL57@UxC zqD6K#LNxi#H>>5QsFd9H!V<lbrN)Rga>5C2tw}K{$o-ywB1PXXuRH@qr;NE;;Dw)1#fPH=pu`J+<$plNd&)? zp~R2byRDtQv|jFc_OYETg?Y7dh>jY4SwTz40-EMb$b&PI0fcWDVCdEA|StiIdaPa!KGDk)-=Y2jqinOB zVK;H9yJq^>RubBX+0f{*x_DI|FLCf+`|8M$&CCHQ-ant3I>>E8Bp0RvfhssM%vT9N zUqz||mWGEcEpo{_Gb{grj{kwuoZF{Us_dK{R`&wGpQb2?)XP*tmFXp;yo@*r9q%I% zjg0n=N9_ol(doj3z{vw2(&LfSl7FCtd^?|`FhCHdO#IrBypI$qobqb-qgDIi{99Ss zT5dY@NM`*{`P`v5^{O>lE#;Q=U@Xd+@mktxrZ%$PyyQy8De54!{_$c16!1!pgz)8f zwY^=*5$@Q|LnDS-vQ`-T_#~ntVrdWFWBw$s1qpg}K9f@}iftF2G-RTUu22><3RG1D zJMwJ~wzOq)jz3Rn620fve;VFSWE1vqp`G6`X%AcZ4~RNdp1l2Zw|Dxu)oBPK%~h4< z7#ME~d%_?Y%Tr4xOFPt&`XC}mkSKjwXDfqM7u^j+8^~qjTQB>kSy3p>DUg*0*oxUUl_7Nh$vf#r*YPEnIiK z$Mxw&fBPnC3Dm|KG%!1cjIK9xB{nIsd-V6SRK>b2Xr0HnsBRoU*g(xrn`D_$Jeg$U z4K=}tE`~E(yP3#zWw#p)54z)o1g(5M!{cQ#dd1rY#&{=@^}F(eyuELKh>eezCnIUn zH{+my0UW;ZN#AtOPj#p4Iu6S zYxQIN?axf5qDD_Ar!M};(7ErFPMy!Q25hy zIIG!VR4xvjfQ9#|4sTG2q?E}fyc`;~1inEw`ZL*` zju5$IRPY(Q_y;FD*odM23LI5aAZCLAKxuPBbK9hw$U%AuMl-)#@^TI)`MzG;N^m-< z0MjCcyo1Pu7SE@4d_se~=!5caRPK2JwKHGEd`PPcjM=hATD%p6r-g;AQ|0YwlQ(Tl z3OeP7o0cuGmYne*wlbO-1!#mXzDlV=Y0y_75d%KM?AbqAbK$)#-hKy!1{=&BshP^3 z4F%A(^)%!MwP5p)9H&mha{P7vG&o<0M`(SC6F-2a|5TMAsaXdg3bWznW| za(fUvMo^nxWbBg>zS{9TJu)qb00X~-qk|knA>YdM>V8SF5;ufs+My~<+*r=2nCiYN zE9l#{Po+e7?QH2Sj|`qx0|Y+3dx9qlqn69li)7Q|$^KGH(nqZ5FqKy`GHtK2M&3;S zMCGbNV;#Ps%oE%x7XO(Gl&Y%#wIlJ=*ef00e0^|O-gT1KCc3%98Dp~2bf~H!8D~Ow z9c|72u$kF`%~{TREXl7bf6_e+66l~oC5#7a_2XQYSKG6dIA|ls{KiHhjXv#g@D|FCWBv;H2wt1Mu`@GB~P8bDnuT= zNnqVn5F4j;F9D5-_py9X_fkuMU+pfgi3O}IS3N(>c+PxIS**Nrw+#pYY$fRk8$y`w zRF8#01tkJRUb$vJ;~qte?7__6_Lb4#F-!qLGC(Q!HyxlWQ+(;}DxKe3YPy(1>KTrfh8v$AfAOJjY4$j3n#by2revbB#SXNqez< z&*fS`E)~>R`<;o~vopa+ncugQ4g0g7X5|B&QikLh&;4tUZ=P1^@(Dd(@MC#{zj#VxP7tvfIDjH3lm2g{P2m}1uGlz#gS-$xZ3%bS!TH6X0XMjD_=d;M zN79$bS5Y!v88t?U#qxLB^zaPlzI4_JTVD5T{!5S8RRlREbp1fq z=SKA{P=hDBk9j=N3dU*fLno>nBw&@Ghe+Qp=eEa-m1)Sp0SE7S_6V!Mh>{uXP`Gdh z(;nNU!e=|7e2h~)=xGFLsYl|dNvj^5=NJm>o1ISnM_YhMfAy`nm;*e6`~^nBoK$KQ zR1Boa2h##edu$jkyA9Im-~U>VN1*^eWxLxdspB}A3~Tk9Yypf=1)`C(72Ts(dSo&j zDAPF_O#?FMM2TP4rA8AyNlfJ+JP7$sdGJB@%o~7Gffq6>FOMYuT%w$t2&swd&XTAU{=>R;N@3IbV zoV`6=mEoFk5jG>nk9YZMDnVM%piLThfCQ8M`2f#A-SSSsD1Wv_rkW=8)`TY7=}x`w z>--#37X9q$KqO43UFj%43i&pC0|~;cPqI*%w3Li#%t3tRbJX8lV|OSdjcJGf#4V|9 z#X+*F>Y;sb-odO7tX{AJG~D{Af+g#?DaNh$#-AUWv^=j{?E8>q;hij(pJ;1wME2d4 zr~BLL(fv^y+3B*Rxhr;EspNF2%|-S;Nn2iR|3G%%4$x}>4t2ZOU~v+q%pI3GPuJjU ze~5$y(0Oi=4qBH`6;@~CD5Drt4ZFq37sLkiGc$V`rLbJ-rf{sxJ_pvjuQ--su2pEj zZc`Ou=%}1CmuWi26}^B!I!Q4zH|)weHV2=B=jPbNX1B&kPJZMRb#nsE8Sqdmc_>i* z1I^p(vZxJ&`6aHfzjvqw$&@FT=L8gRVpJ_1jJSobhDRZc>jS1vix;0kabwVr`xMeG z<2b=q_4!!r`J+2X>9+1rQp_55#KGg~KlUY&bO|Nxs>;)SDe|}VzSPP51&6Fy3 zWvU$gmZG!*(8=jgigBqS(6WI*YrNiE5>-#Bzrpdw(712GZo|WEJE+5#_8QyL^>7>`hTT4Vz%$w zs}o9@Me%IfndaG~D+I~|-UqLjb_VBU2);Ai<47Sa15ga_7GK~gd{sVj|HXNnVugWO z4{s$snM}(R)NqI#J4dYRr{PYRRC?Oq4=^v(#!N_)jYejX5_Ofpx0 z@BA$JGX%PW_j>6nuOGiNcr2+Wqg`|Pc!*}B=v53(GA?_1KbDHrO5C%_cQy{GsPiUi}Qsh&#|BH^ib@Edh@!Ig+vSs^K?Bpixcz8 zR5N}hJwN268PhM{yz!LgFwh{nR`~AqZ_pjF&wNyL+Fl9YCO93(!ooU6Mx#4%s`Qz; z0M3(Cld-oI()_w!diXn+0#ZG>GH)gqmA&F}pHGMvM#m}N$0!b-OMX7_7`pbK9zoq~ zH2vnGOoXG9c)wM82$F*omp2M(Ceh>V#B6aKtSRzEyo89P8T4Ev{`Ckw`ojgncww=f zRxsn%C-u<}wTI_74>CH?m)A~zut+P;4Nn-9rUPUUgpkWJd?my`t*3F57)+T39NO zEMH!KjP(JqH_Uz+%%=Peb$|Y#q#ax@^Jm`Ibx}Ci&y_WV(h5cUM*McC!x5kLOz!C7 z3Elt-Ubg8NcUa~etYA;l;R%vgwEAnlSg--7U&ja&9XYr$=N6SDi*)VaU+hnXU1kZh zYfEZr_BfW-yKjHzef_&og#v21P@5X5@;bM6+ev}dF6}sGR;5+)n6tsf-kq#XrdSjn zGecH~n~^toB-Sa1o7%|`)#(t$LBacf!y0>o^?!~#iDN8M_oltO9Zwe9y6sYqzPJY0 z&Um%O&Ao0j$g1(7Ecc~_ezg7mx7brS-GFP0DvSzY)7R3w=ZYS%SvolMG*Ma`oJKnG zy1+SYEl59xeqL9s1*Tc-qPuXB_#~IPVqwH#BcU^MUrAv)N9SUc+l)wF6}>KJMh}X3 zAl=YBL17m>KDU&2;XZ<#H9gI}5E+y^z?WfZuL`|aclFW(v^RL^pYa)u3g*J!dtS}4 zzr59exrSHZiWOV-ABX03h(FWym$$bOSQ@$+cdI|3tHy_rQM0VrTwy9_!!=I3dMDCf zS9|8bYY1dtsVhh(g13tL6jV zV@tRh!`%BsXR>JSg1`(&ZE)|6*+%a9OgN|Gu_gUc18HMXk9Vf-d#` ztY6qgUTjtW{f>=@_{*PEb>UoaW5>jB2QdEenW_(KX4x5QeAOQEzIzg9L%I`%bTYjI zI~1dbMm*T>MIHLR`05+%;{A4=a>q2WVHGQlPQO1Ew7p6ja`UE4D8yjFBU#~6< zPG910y6I=-#4&NASmj)3+Kf0nm5u_P#5%El1vN(fJk|!q$*ZRtDOs^&*q7;jc6 z7ir~8s<7mrYnQ&jfjqJ`$s{0*Y-paOR5fLD^trJB-9o22HR`i_vcj3o&!?L77Cu=~ ztp-r#TLHn^cN$vk?@r^_x>jBTeHKd%syrc@3<*<}DZA{De$gXn*-7>$?A_;ipNTv~ zFN^%uEE<0C84Q(^?#)+$vcYh|w~p+9YwJdpY@G4Y1&;gy$0dr2+XO`8WbZAB`%c3a zd0EWF6CC?GTgtjsdA300wCBp zMg89>Rd*b15M8Oyi3=_%GMoVyvpdjIo~$lABGPCN-XL44azHzPZK zn_2P`&J+9XxL~t0NiWf@P_9eb=}`Z|p*)G^)nxW4{j8>>;UAPM)O`4pLp>$jJxi!# z_(6q0^9P0k!{dojh(|4XWIFLlHFoAyHsJ|&@AV(qCog#9(O@U7-Ma?Pxg;5Va*F8T z*_t91Q`G`TCCrkH5wrEUbmECZGj5`jSt$TZ{9nZbpEkf9|25goV;q`Uv9Gqe0RDmTi2(whuCnSx%Eg?P+bcl7|n- zO%T9JfSpy;c;9#CjuHQ2wuL!es5zy}lE_ivXm^tHI+Cq56=COl-oe53P=JtQlQ7i> zjj;lG_|vfk4|=nVi=kC@Z{@p>QZt&{CaZ$~`%4EXi9#!iz!mwzq>AO}H0BRp6e@WJ+}$3lgC1W$Dx*iM^p2oeRrB16g+EY?9&CQ& z$Ol_ry*iKSngZFTYvwCyN4e(a6_4!L>#^td>bpK6f~AsUBOhXj*ZznPW@Hqn5m=N| za9Sb^Si598Urs8Gcw=e+sr6n>^UG6~*~Vf=$CRQvGi(LAa3@nlZDlW&By|CwyB z(0Tjt^9NelVLnZbw+EWB#q#L;8$P7p$F5l-m4~|huSJd^sb^_{5Skt_#*1kt5 ze~q!ge9bnI{*^zU!F0XcQCX^}>23lm@+t zrSAJyF7Xc%;=Cq;Ag>#etj!UXo_T0t`H{)$cp6uhQ1kGkgA$rJ8yI?TkK=MM?`1Up zh;ss0YnB>J!Nx^o2^ z@wPTb;(NwVReN}z29>s@@BBKClaWI!MV5DU`s}#_45(YS^~5Tucs}kdhE2AN1rfG@vOqb> zR|Lk`3Hh#(`{!olCqgz;Jr(V>eeK#>`0>U$w)|}5uDYN==?7NOtWaV{*BCPcRxz;V z=xGw-^|!Vt&qmvK4+QSn%k{bSAwjXZW${6BHmS=KScQUW-1J#u_^_`h<{YSQZh zX3Qz8=lb-C#N;v7rk@5h~ zo}X)!?cuWv=#*F1)amULBOo*V+WvC!{}g>HqN#ahHAqMJJV`U#P1Y+NK*V0{b)I}| z;=s_0jaPX~6H!3OP3WA0s+yL?gndFWfP0KO!1SIv-7eOYk~g`GLiZ;OkulUZ20`a= zDIFXT0Le=p>aNmxO`-{4muBN2X!xAOp*d^%`M~mM&^r}0Q}^S@gZt39yck!N7alx2 zCz@=$`g8MTmHTVqvzdb)6-&t9wnd*7S%vmjoSG*9(no?M2_6Ll8aPh~U(M5>ARexNmh`+YJ= z=rRYQHrzli#r9B)C2Rdha$K3e{ypFU5`&6ksmK%{0fOrRbn%)fRgP$9K69y5d;j?U$2?BjlLCAKTTxvw=HC&2YlQ!mJo(}Bi989-e*o+aeTvz+esd` zgzQxS&2o%T5OZGSD!R>kJ=60s8z|$W9P=V>lTctY|I^|m(U3R&jZX0x&vV{#3GCt& z7Whck2HQtA{UrbFi5SEw7*?-Vs#&>m$%^>TfKRu+6_X6ofSSlYNtCR*N-$=4!nUzV z?!52eG-CpY(gT+_Z$Ungga~DN`oU%$HQHfBYsG+yI3E`8G#{h7PU5>Arp|w$hl1Z&RPVNF zGB(EOpzRqJGG~ir$Yb#GCtWD!0!0?*7sK#w=v6+S>>E39hQlqr;RuzB zR93bb&;}Q1^;5~0%e5Qk{364uY)99vuycatcFdafAM7ue8zZ_ebi&9NyA$N-n0vPm zf~l31m)$IUL>vbw66ZCCv~xXUU)+R(4@+o2y`b{=bQmCpQT4A%TAB|;_iTqXKTcL( zh?#lx{&uA|0)6s074-MkhhR8wIeIO`o2SI$?5o$~(F4AS!a31Mw}hXo@4g1H&bILX z{Nc^o6vWk{$>2J-lkvc6k06y?*(yWiS@mbAu>h82JA?a94 zX;7Ixd+15eOsI{rxKU}F9zj+cTa=|Hv)M^n-SHXF{C$8+ES%}3p?-724>|yA#&GA; zcvlx@r{9}!pc^3|SqS>}$s+rRy!zRF+$LJo-A%@8s2%Nu%L%yqw`--vNF>e@pd#7q z__f}2tR?-ypR`WSYzzH;i;FC=+$f;U=Uw1b$J_BI-L^8>*fv8Pf6tR`savCgeH5U- z8Se!CX!Ki!FFB^YSr%#Qd0by>MasRnT-tHHiA+ca)bj3u16RK>?i)U&Td|q{Kv?Ui zy%Yg5zwbucazBpHZTA~4vV7UZKefzT|LDJJZn6A1 z-B_?)Hgetkh3jNfVswK`=Pe3+I%@PT*giQr67DWIM0iR|S5)R(E-h=`Bl~i@QOEl2 z^M@~|CX@U+;|+{T+wWTz;tA4H{p7umP%hcnS6|#z%za2p-o4f5i#}s^R2WVpG*JAd zozK6rt9n7z@aG()id^oZ15d3qyrP1@aYfI1dM}t)C+B}^PsNg@AsRp8M%!siGCcM)m*s{ zu~{O9+K4LMyIg+GXLh0y_p;~x^SLm!UdGG`S;{?(y)Ixuk-GeFox|#r%A{nK?a~ z2ftD*ork> zg-#WpYnD8Vbr(dom08XcwVx4pR$}xO!T+s|ADN?XCa9%#IZ7Wf38COFvM^

@q8} z*S*+45WW+yd6!c64`Q2v>2_|R_wz%iiHCWUME%oQsw0y(M+dtRh&Jj>K>-1rrvUI# zXWgq8y(ZCi-|gV!gOz~orK?c9DPt0&Ex*(d{v(?3@JTqdF+vqJzo%L5l3Pnz=DXfH z^_c;1*zK_liS(`uwVFcHyX75+6eVadt#I|xB~=+&UR#>O@l?>h;`*XCzs!>AQ2_GZ zCyK2gp?fc(LIay3>CGWkURD?q@IS9tKE5<)rL|UVgP=UX1x; z7+>MnM4AKyGLqh1WnYF59fVF8Eqc6I((;*b4|{}tbMFW{0|^>fUNS*Jf1AH|&vD<+ z!!nlfP&8gBUs_>LQX_>2t!bKXVxQcj?HV7f_3-LRL9C428K!NHmM;Uco$umQt{!f( z57x_xRL{g;8nCtuv6qy&8i4)OQMx7Y!K77Vg$+O zC(bQ6=q5QgxMZ3va%(E!k7JYfZyNu-SMHCj@XC9$f9Mq{Epz6d>*S!HC9-{vXo)y_ zlF?3I<3pif>p0-XF1y+{IHOpvLQEULyzePuCcj$#2O>Sr_{{eiY=R(ojQYge&atN6 z4oykKtu3n;E3Jeioj>XRNQM*A+RdmZYoW68AXe-7Whrx@w9ZM=4@OpZ0YYhs7`9L~ zC@`nFE6?$Z9m(9SmrP7qTG%AhyefX7mVSX^Gcu`D*S8Or6OlgQ zpsowt-8;a~&BOoU^TBsbrjD=qpl~8OEDRg`3=qLp*3#*_vJG2z>dgC4TB_%oP~)^B z?gDSyC8NwW{0BJnUX1#}MkYOLtk>1`RZn#38l5Ot9Di5iwqL>&Z^!4!>|Te~;in-h z#?FVM^(P8EF2OLM{flPQ6&K}&QmZPwg;_R3)6J zP^%#V#v+_VfiQ(}}Y+vMi+YAqw$7iWbCYrSk#;GlW z1n495TfdanwcM8=4{|k}LaOc~JKMW}ZWmGelbuQC+jQK$*6ww^+ zokb1UBg(>N1As#%Hsaiq3TlT$@mUsdlA)6!$-0^tYWp#7lmoxy1O7=(RoXE!GjbNZ z{oA*ba!Dyo3r(&$6tH(&#;Z4%`6aRNeFkz(nY02Yg2cn|42*>Oq6cb~uH?zo4_6^u ze`9B<`cNlM2En9{RJMb}G1kY8%M*!$omy`NbWNofOUZ;9>rOawh-=X`H)71FW!NXM zD3O46gP<%P1L1~5XIG|Xh_3Ea*I}ji<616yAo~=>5Pq=WpMRCF7Aq;zoPrK3oHUEFfFr~0*%QUlZK7g7pAA5#2# zrbup!Pf*W0?zgA9;pCG)A*Vmpe;yGpvDwFh_q-2}!wIHYuJKSXeu@?Q0}&(?^G$p2xoA1=AW}15KAjGvnY?RMx_i~Y}`i$EYMGvwbYn{Gq7@yWG(V# zyrqhlYdktglUZN5hsab(GrMw=&q01FDtmsXEp2D?h$8j~=ztP>@(NbPTyQ>ZE6cJSv<8=}=W4v9WuN0@Gn@wX};q$6cv0zsp)_c@JH$kh1Ao^yFY2~r`>CCK8SgPNty2n@1ITYi11==HoMF6M35CqhJLk0;c=X_URNVDVvaA0- zl5%n`l8w&kmjV!KjyErFuFF;aJ=YkNBSuVt?%BGm@0u`*Ys}6LZrz=_`kj8Ts&OB* zx-WMEQe-o}D(=8xhGaZ1YI%68J)#0@fnI6Ow$5!zR)fqx*T5ncdc*?1^}7I7SmACeJeyRjoxz9>MU1gQTrf++*a`5zLvrUuqKTzk~8zzU$ zb0G8Q4;;0HbCl_ZlQNgP*b`|t)D~<00k94~V5xk$rM%;SkGxiQAqRzGex#-J{!wpB zF~}DgbEh>WkP|Jb2?_*p>V#62@r2J{$Hl6wDmf`I&$m+Le7xYdiOfHL9xleam>O>r zK+!(00`)ucskkbb1g9W#m;e5XAo*+?D&t(`MQkIriR zJ$=CG=52Z&PD;?|V=x32S~CQY)l1!nTuplB2<~2=oJT*2JlhqGlbi~IX6e@X&&~jY z;>-6bO%5Iz2*PC`qvdert(JO}N!PCC)*!swJXz@HIG2 zPdF*X%~FahTay3WN9e8yme(cyG^$@)g*QT+OzC5J;Vo=Wngg|9PWFEdwz*(I5?P~V z?J_#_bQ}U&5yu~ZuV>ABi4YDDSN!0I$UF?*eYvn*b~ojkk+L~Odc{9-Lf#Zw#5q5( zr13kBFGKy(-(2UOeA!3Rt?m=~H^GycK~!+ab9Pgzy)=nI1CDRhBifyWxLYaNGUluz zq8J!dB>v%K0!$Q;8eQTTRCm*fmdYwe>7YJttL7<4mE0;)Aac7MWxHDt_YdS;GwNl5 z09>~dzSOIHF;CtPg1`D4e;=ysc^rU!=wUdKjtT!GHD` z$0JTT>qLXoq0gyU?GN(~L0nZt4>9WUAZ%{?*~YBO_t;a%AO@Kh`Xzzgc_pf4RXt)7|2!-U$@6>SCg__W z`f<^>1_9d$?qvLGZTp;#2jpc{#$wa0ZEG}a4$l0U_zg8)MIj0P%|7raT4Ccz`9UPt zlShPkg6)w<$t_iHd;I#%#)@;)T;t2?U-Vouzm;KCBzq0uZ(O^Bnar#9yZRliCUO-x z?XS#ArFDks4{p`~+v&L#_CgWzf1p%Y-}Em!@OkBhcFfnad$fFlbJ1#bqLtgU@gluv zRtox|Q$oL-6xlwS+^wHs{hQuWsdzvOb$yWHKvzq-!;r2XvBiJ$5sT9vZl=k>X=QbN zncTihrX2m_`kp{b_$m+FdtOfbYF(RB5lona-)uF^mt`#xr^hXsjjN}<_%x{n34Su- z^A8mHdKqrqdgx?9ddGHX(3<54YvC%r6WFXwFIN1uSy7n^Pv4fjYVTL;(o_{kg8@w| zgFR^R1LhLQ-bJ$d7egbC*~smEfU$e@X%+@xvJ4N%SI`dh=k17mtA`}@x2rS|L~QHE z!23H-8ZOI~#iKnVKvb_k*^kgPAVjO!Tmk{rVM|7=j;SEAGo(1-?LH#dv2whFywHjaXd>kss}k=J2f0s z2$;|UW>2VS5s<#62C4)dMz~*vD@G+ZSiNGSbEoZHvFj)cPZ@YQL>QqI6F`%uBTIZlv9owCzb9QwXAe4xbpk~4{|=!ED#K+N z{Fm+YjEk2x8{(9o-Z5U~AU32#J5)X&4QPy!m3pMo4hA8(#!l189L;=lV!a&Str`wK zV&pCg+7$?7sQJYZzs7ldkgL@Etvl4DmfO!Sxr})D%BBoQoV4v;nja>ZqGh!U`0;v> zgE9u|xn7CN;Vh2!iMwa!qt*B*7u2|l3-Ny(orOb_{rk2z8fhe@8>G8CCnBLVNSCmY z5&|+QY1ruQ5>Rp*A>CclA+1O`6yzbk@BMrK2gZGUuIoIHY|-994njt*{&Ce92nh}VjxuMgS}|$DCH#gH-rml zsePg0RCP(nklEjmRPw1d*jGx(<-?k?zA@9okS8gfyPk(^O%ls^D>#se1i~qZ-*#5{ zMrERo#52kTFMWG`!;(GEHBz4dU9@McgDU7=_vWyW*f9Xvr7SJcXP^))L;ZcwK)_n! zgfC6#e!7c*A=z5o(Gr5(MC;C(-?Ak1IN_q2wZaAJTMGuJ=w{?x_smz(^Zi@1V&;}s zKOJhtUpab6t@Xpz>gi+nA)GVybx(>ojTzmX)RtGIJhUtXYPPy&%Q?)K>-~J`3afLC zwIOX-C|@BEs!sr$wuQfR_PHU=_FAjZhapxX+{c36QMGw0j^TcgXx@D8)yA)TmDya* zaN7H_75A~}ZyB^$fp!DKsc_;1^Ch>!yFOnU1>2ewUCct6C08eX@_rUz7kq+}RAUxF zdww>+yLx$yUpoF1fEo&(L1m4ZAYkHAMQfu<&5e&q`s0szO=RyLs3#INJ7Q@1LM@33$fr5!inEzWH#(Q7lu)8d4Erc8cRpW9I5PNl7;U8|EZNb=yLT(OBoE1F zEyw~zo{7eo^WJO(r$5U(sG>{s;7MLv7ynLxb#7gS`CrGGDyMR}6R=j61+$*oKTQ2* zsyBZbp7#y*XYBOA4XDv2WsOdu@4wsy2b7S0)$KQ8gca*Ax1Jh2ryRZVonhAx$iDZl z+wgi+2Y|nl^vLc2!+hYL_M#U|geOL2DPA?>n(lH#%u>bwYQBn-{tSJl$M!Zwtlk}5 zq*g5m^c=Q@wltVB-U2PM~MV!Ll5z{HbT>ra0fsJc->yd z6VmmRx)lGt3Or@JHIh|qiJi%ix!WXUjsj>^mAM2%DQlL5nT!Y?-E2o|IakSAca1tO z!N>iX?E7`V;3&z^J=M-iR24_o*mMch$*|qle5aC52ZZ}!qU1*4FN}k;lnxn^nvUhy zl3MK0x}(i!c+>~ob~*Rw*+8+7%Pd}Ll}=QQu?&Z3d(>i5No0p_lMgu5MHMcB?ZqT? z!RwUIyC`SaQ^OL!vFbWpl1KXu)Z)sO;5j@V;-!rU7>d$l*VFpCPw~dtNbzi+!gwCe z+$*)^BnT04%6De(V2Y6o#@2nHmL1;&DKP`j$`QfdTu*Dr7piCzL-HdX>f{+L?{~G= zhW6D+@pd&%qB*65suqteyKOEMJNlCERx9$cyNwG&*msJIG^Uagq9=M4iLv6q=eb*} zOfe*r$r&xogwAs)d@#+%XX!rMm1!jSSTN>gS{1WLr7jp=rWFctRPFto6LbZhxhx@r zs+uThpEg_-`wC|cRaW*3)$U7d$^8;aK6K=m5z^671R7Nu|D1Nc&?Zb|e*2a-&Hcz< zlvCnJcT2yt(Xbw_)1ZOOq*R#=KPnwr&^v-MdgE4oObNZD^}4!hdf;ye?bMgmurH?s zmw~W|Q_Z)$RLLZZ>TRb<@Ypt7C1&>$Z zPt}Et%av=9?5Gx@xi8ZqB8CR@mj~h}ka`CdJw-RUaCME9_Q(x1ois7qsX)@2gaB>bL_RiVAlx2c`s_6*>NywYQWQ~p{KKwh`;dnUfKy9H#=%@R`n0W{OwC%~ zCHhA#r0W}+zPWHj0XScK75fb*z5`HVn51?GlbZlTEQE^KiRsI>B~DVU-7XoL6UU)C@uYU#<->({i5 z0!4$k1%JJaaIbZi3FKIJWO5zbC$UN# z(d`~-aaGvVLe_7dkH?vL6V>9xoCE~%vri>RFwFV|b(}TPBfd09S;V7Oq-X|vtZHsN z*f_)s=LuX;a3d1w|Mz@0GM z+mAlqFajdC!QmhFLPL;8)Wr7W@3^GojYewlVu1|OKe%8z&q-RWsT+p;RjbKh65(AK zZNY^W*S#mf{r2w|z%#Jw?8G5Cm~iX(KTwv0ei}!TGjJGPai+o^;o1M`herTDaq{Bn zkaDw4e{rnuIHsP>8{W?Km^I>%#CVaqLq+sE_^PCclp~Nd*7rnvJ^q^#=9fnJA z@9Oo3V|)<#SzY!vsW(}>rPsH-`89_2*l}9+uG?mnZxUJSN%Ac2I2zrds_ER-q>vO# zYTn0MTN)f@eb_t|_5NDsq$I$0=p1ke2~?0VrG4)T`9F>Jm;Bf@P2X& zr2}OluOIR5A%0G|l5Xl&iL>0W;RXDelZ5pM%h;OAG}eHBXO&CQIbHb~SJ-DC95nui z5_~707V9D3C&YM-6D)1Lo08gW8xT(0&$1Cj>~6oOKp83nk=mFV*l0rmheLVjiP#dK#zjkV>IZv+x$wI*H+;A-a!$oAMr02l5xKae;@qtt*4FU%SS2G`8&yQ z-eQ>&OO9*^Mr%22*^)2s)D^YJ6Vtlt+}>gjn z@hMO7JmoL0OS5B7Y_@W$JH%SXMP0~ar6aafzMBUg(0~WIK7Ad`@1qAqqQ=^O4Zh5A z5h2QpZ*C7lfV|@x{=}8paS6jOu2DM3H(t{5`E}78SbbGj)X8s%2hn8Wfe1u0s+AmI z+jl}eX?(_=ZAK^xrDo}IB{x6+KvXCZIoRc-_t%X5QX{+NojT{z^@kqUf12-qvE9Tg zW&u+S`+Gj3?2cn$eIizWor^r_^Tjh1YT2+FVv1w11b_UwCoMm*5As`R7vBz}r?&n2MXLUEb~P-4D9(wK*AG#IfGcmkVUbsrkg)Fd@X!!SW ztk{UvEMIutqZUfweST6E(KvocBs?$~dln*6=Ihh*18F_^(NpUf&i3Y?=vCmw$j4JC zd(jkMo(vVSb9a`0OU*>kRct3U&uRKiqUUXtcXD5BKfr1D@5OST)jMsnsjs#0lU6id z&i4$P5%ft>Q2x~@qGGE@FlqbDHXqB6+u3}v;~OsYglDq{Au=(Mb4lCUG}3H6;14tF zw>;y@oRgN05>@P|Y&5gy$A#XB`jVlur8g5`i>9#Z_P7m6;ZIDlm{w1_rkiZN@!L}; zUhSv7)#L6s*7uxS0v!6kDtp@VET65fvqzd2@U1<;ZteaWPtd>Rm3tVsU9c&>aqATV zYX}BAbfJrmrh}K9@Rov~D=pJ``oiXIFGHYCiV7jJr;qvsT(BEwCcU(j!~ML}&`{?{ zDkm-*tJk(eeiJxW1HxTac?NEHUJZO%Pj;n!Ce5GnJT5(;~MF#h(zJ!KhbN zLTg1;`u1&qnp6E|sk|K!%KLbhEpe9w;)!Vrp8nxV{bDj}j@vvh4RO$oNn3|-mpW+H zD$KBSZU6phKOy!iKFSE!KE6QL2jK6Vc!aQg-TWFQyjbL27$c+?^3b2J1B@~QMfIRP z2ims9%kYB4&8N!O)Y_pm%Yj#;b3#E>4eL)0aHW5J(!b<@(WH;V)u0uWwi{j@9b&6L zjmNLET=laTmSzGT{gNqUTHo0EGI>pkD>wH25$I*LuGjSh89G-;a#M)D#a0QCCF5uK zrU;V6?;Khuj@odqmN6lH_<03#*>KO6;M5kf#?^HP@G~p6ulKP_aCn9$3RoU_BjmLQa1y9?*;gX$LTP3*hc(NU%voFJs- z_gE%J7JCP&=AN^)UlE&PNWTv~(X~fSds1NTYXj13QD%SZ;pdWT?VAb%Ld?PgIm0~B zNB1vwt7n}bfgF#m(kphP6=OZ;4yE%p^!n*;ZBHx^{mIGu9b=b%#+m=j%t}afO$$$} z8f8fW!v^@WI4|)?%Xta2pdUC%F2zJZ%xU6kwA={{j&WPotAkjIR*u+Bmm&xn`l$IM zHjian#9Xj535X=xk4SeK;Eyx1n2EM3+`Rb-ba^hHzv4Ibay-a^t0n?0V4>G<2Y-+7 zd>ZhBaV6;sd9&;Fd@F21`2c^s18z#J?l_CTZFH(=Q)o?*E1LVXEt#CjqRxmtsx!}w zLKa&VO+hX~Mw3=>#x=E2dM__@jwG^y8(+IO4rtN!bl``)jKK>45MUF!!s|m`wB;Jy zj}0)BLuMgW1>&mi7W*!iPe`NP)K-K@;O3^zy&BCh8$ej=b!lC^Et?-{o^-Y!c$x=7 za}#WQ^xopu1BpJg_}|}Lm@Cq&O8$9$8tD!WTh4X9|A#Wm!$Z1#oO*_WUjwa0Zj{vI0LJYt+k9C8rPCQ+?SIAEYSsS19hP`OXc)T>Ia3Q7Q$ zz9u3J8V)I2hBvO$INk3}HjHqzaA-u1>zeffEgRz=ewA=~MT~6UH8F>5V`l>0ajn*k zlFJj+oIJRaD>6BAZSzE%55HY)(x~{6GW&#{?a_eOJzfic`@`F+ou?QVjXJyNRBC)? z<=sYTiH5qTZqa>5`4_M3SL|aW2;U-?tbsS% z6gRp|_=WhTbPZbo?#!Lx&W+}flwZStB$7VaM5Wx(mZHVd<0C;WGYJqCV|Fu*ZIRvJ z5(nJb3Zdz~ zx~@Gdej0HT5>@gbCc%#*pGimG{_&o3SByJzZ%3aMJ}8OQRZl8f9p(qOdrZyYbb4?@90*g?GKtKwOCOr!5Y;K^eY zx6exrYxisLOS8y$y54)~3%B~#;UIHnG&#SswaUnu;1)#%zL*6;cvtr_jR!ci$WoW7Md!(<$)I% zl1qOzN^z68M<19V2kn-4%|eA04wy`a2dmD$dZN_O+< z$_*^YsrzgZ{6<#fG$S!_TJ`3_$xTVyX&s)H@1Bm;qUy>Rq!ODQ@x2QPM4QVF|f)r0G^@ zTB_(2iqSzL8*aKNAJ9Nf!&A@5P*{d#0(W96>B|`A#S^`$!4OMUFl63 zrn1KG{{e%5g(Y`~2ut!ftZlp>CUYPhw(2JHlWis1f9kd^Le;ZpoCJupGA_L6)Bchb zI6@qC?wcknHGt~v${L=P-^&BFvvl<2(;#UrGKR3~qS->4^@1um&7}T*$XuvybyF7|;RGt{xo=sX-@;+C~ zXDD}qW*kdPk8cmkCkXUvoBItre^`&yh=A}xZ!P_X`()48 zz6WY@3h3$-$QJEl9aj)(PdYE&e!wbc?T&PP*(xYI(cW!4fa|-X#;8Q%&23^RyLNYY zo6=d1Rqar!kCbPTTtIIc5$#j84OZ?UqC~SQ5#>~R+rNyPX$VvQEq?#<8-EC-g`DE9 z>6KpmaoO86Tp^%{+R=#RKD!Bo%a0PuuYm#LBr(nB*+8i|oly}EX!?C+;uPgm88q2t z0W0|yKTel;e&MHP;g;!jDn`F$gZpoIhcY7#n*#_SS$gm1t+}hBX;XzI1{-L+2Vs!yNd&mkuA_nEuYq$cFV1D?~O!~>sw{H^P zvMgT4Kaq!NYWs1ok&3b(Fp*&V+Dj<>E~Zv-+=X|8&xA(O@&C{z1~f{!d6~;35|q9n ziz?1EvD+4x!$Y9p$^-rX<=iSab$6i>_=#G{x81wEB{qYk0$;zgJxA`mcVALF*~>KP zkp{i1%9U;gyZ;%C;hI=^+ycCYlJq)gyd`k}d>x$r*UP#eexDM;|+bri?*h3nWVFnkd` zGEXvW9Vpu&`DwQFqB*=q=lB)wx!vmemF@ERI^?%uN~v*p zZG_8f3(Lw1v$R!_Lf5pF`%*XYM0AX;)D7$}n4mJ?bN05I{rCy^TIcf`UzF6Z20?>h z*A6p%kG427{p75LZNYHl>VBMUbAFX|YO9dk)A1YjIx)gSic`1S=kCR1LKU*+bEv3Nyv%b~meG`VQ!jOt(bs>r(d7b+zCh+(4!AB$ieN6nz)ZlH4 zX~%SR7n!x7J6e)Y?|z;CC8=Ue@`RFxJg5*l`eNZB8HdNe%h!)8^yW8|($&471=j2P zn5-YeKrZZ>G)RV*)pDTl6WAowQ(qTyx-~bosC{s&=8P-;MXYb;R$C0c0o!LXX=9gMM)d3SCpSyOuUV3kna+oAE~ zMX-srJ5RLW*9EQtrL(LBc7YIz|Ed>onTN?$=TG;?Qvc0HP~uw<{0}6h5;oSar}_SB z*IZVy+>#q3J~)_~_rp4dU(BunWQ*9(lH=4XMdxj@x=F;jq!^$LyLu-aac>^1qgSja z*H$)LGeKuck1sk09|XU~G_;16lm7k~x#QXzp|B?KeuDJiECH7!e7!bELZH`GZe5M7 z^naj7J+8tEBh~GLqB--MAu=N;7x$k-J{u!kiYx+NyI{o}+jlM?Pr;r~3@XyJJz3(0y8PDq zXgehDiw?XdeK&2T>C1_beM7IEK-X~%T)R5D zu`c@V8PY?^%?4xuV$l23c%o2~j$R0*7ye|{+8F7t41bg>=AJR}D z`3v78^^!*|R@x-o*=BPi^mhhMsR8_D@(a(KnbNkU6bkk%_;*mf0W4B=xB<};HTdbI zO>teLM=8_%d}t!1ke%VtlF}ueAgM6vh<=;6V3X)V%tdKB^ggZ!jF?L z08kUQu4Sodn>)~!v`*iMx^&uQ6(Sh2u-_WWE~Cy-aUFyt?LnYtX(53>fW?gyc3)*wf<4mK}Q+Nm=w1k!J$D*ZeVd~`RPbwD#+7GF)_3jnN z_5=a91U=r?`F)unpN){fWg}a4vB)Jx==|vY>VGh-seRUQd zKSm4%g95@ZUrLdto6wMI>xru|SZQWRk$aZb2v1yJ3B`n6qAK{WH~z8T>s61d`IYIV zpafKvex(JVe*coi6>`<6MR)Q1cjhe`G2Yen;uH9CaNb5+DC-Df6( z!b!K4&1yH*ghEY+FxTKK_DFZn0kJu*rVnQBxg2JSMa%?YIAN`U-|rXw)J@-j;`j@J<-ENv6MYu$aSCD9A?*peM7Ss%v!j z69bVD)xBNF(K`KFhR7b>sAf)_abXv85LX^(1N9A>?UkJczpdQDGJK-#g9?&08+t#&?VYnme@Ut1DqHQ_dA|a3UM(CDxK?BD zxG<|_?X6Hs_4jE|hUfBHBRnp(X2;&0P^pdK`7Z7|!sSU$RotJOVTmWJR)_x}7<9}} zRP0A@pkenP9ao9FCRs{R-Ls_suBOcxf^=f~;2Zm+G=HL@VIZg888MITq3(0;uDW)35SG3+ygP-B{QmUCFD1kvMoAdOLnDQ-3B_t@aocP%hh66C!TeahZ;WHckpS5pPNqN{RzJO_J}Y-jfpP1S|4N5 zz`N+co?`5Js^k+<8(?x`3&d{^()k5Li?iRW7*Uic(U+i;grp&@xE^m+ay?;rMIU|8 z1~uJTb%$gc{dOmZm(NBnw?-HosQpF2q`k~`@k+`yoI+?~#uYqIU-q?04*T?Vl8SZM zmQzP{aglBRK6NKtX~Gm0X}GOL{auOVEheqbms{7XYoF-!5C&E>P4&~^2Y^r5GWW4& zB)^NhnPkA>f#pZjv|bRYGV$mi1}V@G{xdq{=9W6cr4#;V7-v*P(cA6p|AQW(a8j!X zz7w3J@r-(8k}b{-`}Au*;h8>iAAW!QMM$lexqzYzWT5n^_pLn|e2}6yNj`snqnT7{ z8FK4{o4AG2y2OAl@FVAz1tdmgZW{1n$`HdYL=i`kBKm0>HTy@O;3|scS21?26))LZ ztRWJ^%$@qT)oI%FD`Up==Op$Y*rxUQZ`7!=yj#9@QA60x5l5{zjN{gu;s0i~1eXtO zdjn^9;MCe4vV`KPA_iL~>dL)t73j}bX>E(4NO!lZnFERDBX{86xEmp5Cws%~?lwWhobdce%b9(*-EsQ6tve;9B#3zLe@@uw%KsQE-n?9N zApQfKXu-31W-gOCPW*aVdI$78GihZI!vBzSX~zt;F8j{*HF(MXilfb6G7=xd@^*=E zC}d&hLgh(7(ZRl&EX9X#N{x{NYFW936^#3ka%i|gNLc#HQIk8At!jmilk@uAEp4^V%>4{b_AVaXW&2)&PY>y8rV-c7-5#-W||9yP0}u$Go+f@ zmcf@BsY5#LG%3KvlK4dBk+(25hS1j`IXP(-_jDJU>UmHSXyFp#!er-j%(00MR6IRe z0p5=ChSI_XV|ZSWSY1m>lAGQM39;c}l9`DD+@hQx=M4%W|e=FB5296C%e`k zu=R7LO!mO0D+@S<3PlX-(ttjMwI=$Jq;~|Dx$9;--=IdOKbuYyjc{LnSbhr`pk2`oyFsHyYl!jb^L#zXX)67)`g|=t=G)Qq`~c35QCMe$rVy z-6>3Nv{6V4W`JS(-(YA^2!eJzWBn5Ln&^llq=c|@^97x>@NItTRy5l4%hNp--E2`L zlOsd7JrlE^1i3rdh5%*#a0^DbM^YLZUj+zt~rSudgOK+&loYfc05fJKa zb3T@iHa<^Js|R-;Hq5NyZt|t8{>L5fFEmtYe7|Z+AiiC6w}%5)6qHM>Tqz>5I0_z8VmWA1)Vc80l)beu?a2YhTg zq%)^7)yE&!3Z>N7s}sPL(>3x#Kk9k!L6tnN4MUW_wW7=9bM0Lt@o%6DDDHXse`1q1)|I!1zp1+O`}3C4^3Y z*_~2z-(qb+0*mgVtEG7&sXA(te$P6K1GCUNQ59_O##Hd!#ywL0{nj2d_K>s{d~1En z5YeY9JwZ2j7xDWk6o3M}ESlZ6{wbTxh@L;4CrGASnfee^LywA)mh<`_s97ppe3LF@ z$IV!cE#lv>C`quYeyYLzXJOXiEh4hN_meFR!<7*MMUEb8R{W$_jk;u=T~`l|Wd@HQ z$5S>E?u(u#1GqE)9nvSCKiZFl?8%?(=RaS-t^DPo5E_o0k`}zJSvN{i%n#*v&D_cN z(8pBZYYyM4sTNbP{Ohs!{l2O8-$&c-)K|Y*%R@uLt{*?UmR$LmKdtX+0dXJ7*HZfS z^urU?Ez%lZxYBWGrYR=S+N0`Gx>~Z7S7Uy7epgfHzaWvoJ#efqh5$5rD_ZOyU%%wR z`@#Egz0Ma;GX*Z>N1=6vuzy z1q2-LjPPD+7Q2hN4u3+}K(D-kdp z(us!zfuU2$%hbSOijVEjhB#|1T&S*3w7>~RkWO~45608=mj0#sRj98}(QDedi0He4 z-zB7&Zw=)EMNEOHOeo8)!NJ2Aj4^vE!|7zf=Beb1FReQkMYJ_IXT`VG@nG~iNp$C} zkZ`ET?Z$nZ$Y5yF7rJGvnUL(bkBW^E;Zg*is_PfZJI%I~%a=_Z&GX2sHS;+2Kxd=n zH=mwpzD+y$T!r(a_*BBU$!o~ko$&a4AOfyH5eY55g?`SbK&bq7z}eCkYFwYWN_1&v zeO-3t2QU*)fmq-7ng@1@l7@hLu7Rs;;;MeAxglhy6(g?8>__5u=|oSLRkk!3o;7eU zF8i#<6CkYW+0Nem0h6vB7A;Niv`CIQKe6tt5rH~WC|x!TP30Y%%lLk6oBZN0h804F zKy<+`hD*rJUtw}+67&PxG0wR(BLbqX|KDC!q?vr@I6+r%Va{&68L6vAfSxKOLooMlR)R~(n0tQ zL(8U>p?$i+Q+&szw8CCN7jy4Puz{Wg!)w9#)BU|u0|o2CXM+HbL_v!u>{mln;JS&; zm#I;v95Br^?SAlgSwvssO@vFNX@cg#2-yZ&BF^jV&uB#OoPIN;{AN58)QBHdvo5`u zl65rhbS19bqz9{N+HN^bK04OmQq8^nx)(Hq-IoF8bdGgu(evt#WcEVtTb?AYQ{Nju zPAPLb^Vq$B1??yKuRP1J!%?q!X65k5j?nI3crYEv0|#vh#zB8;eW{l4+CpKVHZLTn zl%67|(h3$l@pMT)LCcz98NRoz@o64~=Z!%#4>4c6*r3UXk9l^Z_Xpv2b8 zlr%1H%><8R&Q)GM*F4O5I9Z4oY>W*XQ6o!{>%t7ptYul7%FbC?Z5oiS#3S(%4Kamu z46Ee`2JV8)xAs007#v5|6A0dg)HVz)D@Qb|7-F>9tX;MC+XL$7&CwWbF(#V>bzRic zh!+M~e!`Z9zoAxgR+N(-$5|hweLioKoyg*Z^S34G`b{>4%=T93%*t6* z2X`;OzkgUF+}B zaP|1~vg+;vntLlxg?Ao#ldl7;D!Yv1s|-Kg|dam%jC^;Z@21zgRe)VOsu@uoFPumJeDM& zu>2t0;YmdNx7`#XSeBUBm15vqLL*=Cahu>&+k(_MDkOHiCOsWnji3e zt&5hbk_%E*d_{`(y2Rj!b62@9#y=Myys)l+Hr-oIA(jTtczK=AO&;@+OpTV#FcWW9 z>(d#I&d%oZ|A8*2Esfw@fAO2PeI6)DjMr}5ZRg4%COafBk=ydN`?aEqmZPT%MJr=c zpg7LhHU3rZb@n_!&Y54Ql#N|JJ9jQ@>^tf{;6*K;sSkyw=dq z1d~UeJ{u?s7GE`D!aTH=#)KTs8Z|Emn}4wY@8$IRW-`^*mwl)+&j5Z2NtuV^WODp# z(Z9%^bEx^@`fY0xvC742pQ;QY(0*zmj1w(I93YP-sn>|q=|;EgGGu1n{SPDyMO-;s#lnn+FWwtR6_NXdf`>q_NGH>U1P_K?*`=~(pAI^*`o;1z z#uOhgDxq-;V4wgKeI>uXgUZQZVNzmRj8WP0q5X%+ee!)D#l3Vj%4Z)q(T-)(0$1@S za+PTq{lYn!x#?xQT*%Hxt^`mD1j=J^#^e$A=W?#UNKs;+tx7qb*$6+!SZn!nP5l-m zXIFsKq+bOqFigI+69oQ0IAkXy{`k`z{V}#&!FZzqZ{|~!-gTtuiyhP~OO?)z6IoIX z-tP+c7J7Z>SFN{6mH;XV(hP`SqU{Sd*jIpckL?7uNM`|q!#JzUbzd>e`H@QNOtTYa zrwnyodB-S`C_im|@PC&MQ7w~AS7B;{t5`IZrjp;a(YqQzf+uHs8yR z=3M%7^M^^5sm)rxu`ssV}kBeWn)xm}Qpctk$l!C{JlSWU6^N$vEM`^r_vn z%H{ZNo-vChmt{rsn{JUquh;BUcHOIkwcaK65uR70I>n`o-($634FIn8Cs&!F<@LUX zUMDSv52?+3DbpcwGnt%vReH`N91L|%X%$aE2hM(caRba3NFp~Q*+L)9l68QWi{`Ord`?mIpKo$$qq!R ztadzDi`<|gX!LWR^@*@jU*vn^BqRK6x@k8=MfBE2;hauqx>w`ISz+Kl8?W&tZe)d@ z!dVFcgtmLx9p>~1yFS5~Ae*8U4L_4Y+WAK`C?(UgH^#<5~Q~kyejb= zD`l_qTR@M6hwlI}za7f2QcuI00TxR3yGq(}rNQ^G((3=z2{lV<#3dbhQ;=r;VRQhl zPnDsy@+y}H)f?Xv$}^_D$;ujDB`U7w!f=zFrX$fyJO2s;XWUt<>2tnZmuP7m=lwPT zb73@2%G}2ROMzCO>tF>Q2_af3pGG6h{eaOAgZoeS?hZ${_TdMvmNAouEqDA*X8*vO z(sk#UJSw4ik=;*DIxep4wB}p~q_4oxozN(-WksZbbLyXudgPI%Lp+{9J6AzfTaLFotF_efuCs)>mM*vMd+?`mTpWG!$ovM$C~vC`jW_mtKCCI zzrvoy?!ZM8JByzq;t(SPfeM{s#RF_Uzh)>*Zz4^atS1_kCuAt006gLphoa7{#w~GxKmRY`J4o zJre%Qr)lJpKnJL5RT^?ctPLystI=1*IwEGgxDl1q6=k}bD9i3Yh$FlY_dAF)c^a^Z zw?LMb+AE=8@0;U_`sBk5d6#@>o~+Vo-(Hj&^=4zPrCx%l2wu@4wb}ALt8(|75pL@b zMc%DbZ4#DO7|^Mr8ryyW@s5fk?PUgTadYv1o>v@vncL_1Gbj~%BFjAP{g}5DMIWM;|G>W%Au=0<#9JANn_D@jaG^&azzJCg`S4wRxC8D)hP+ zIwM9&IiWo=GEpg^Pe6KU5Y7_Q9DNTdFC9vKuHr21VcA%=fF!rYza=1@%H8mtmjMfd z@%$+sGU#-wWbT{o$<)K7&!@j4+ZlzxOp`Hps7(>F%ahb=akrE8_jCJW@qJ`{@I6E% zF+&NSMA?uxrYGm8RNUh;<+-2Kd$F1$&yU#7X+a2^mH`QXJR{Tfh3ursx~2Kdbej|3 z(LAjjDbGkq0~*r%=8*McO`kOGxwZ2;r#|Hd@&&GoghVfDR#)lb6^

{x<^qb^?pp04;u6WW|qp+J&5Md#m zO;uKvgWd=3Hk;9@T@&e?D%Ov)v_}jxFX||Nid2M1{Lp51moeMFB*g2(;KiZ zn9r_h*EKo;#cAHOQsu>z3kcQ5KSd2q%qPc|cSo+@@SV2remGEQV?|c}%$aZTL6NPf zIY8J%lT=f9)Px8*&6ac;N3=ZL#j5d9oQi^ z0?S4+#lGpy(}o9Ro$%!mf|)^gymjgKOiV@7*v#cC|FT|XEY2Dm8R7Cgm&m@bAD?Kf zGFA_%wDk?jSIW$cq#pA41RYP`N0?qW*>$uO40>_53x=Qn~xz=I>h zh{b`m8D%}=f5v_4qfltY2zR&s_$(sUCv$HOP%k`gW3cMf&0k>V=2+X``Pd70O@Ss*q6A ze=)pKWKTOx#_AP8pe%nB$SIX*L(SbogUiaD1bZ>O{dlXq#5(BCu!cq1ZfSuJmqa0*{e zW%1qQU>A%n=K`(T(fw-Vcd^`?%9df_J(SOo{p4xJRJ2&ixZ)$O9bnpqxJXT_$6a9B z-vY_;b%DG2r0vP@3k{DHVx)N#z7lRl6{F=FTrmYB9>gvSaZ3Hs()XPFY02qeNQeZ@ zaDPxo7}7ob^(RmsO<#I~;Ap=;H?y1qwx>s4H zy3vm(Il(=(n&>p{?M&8Ni`3HAA<%dHXk^AmiS`UdKyTXXy~NJNS|EczkOE^OOHH&} z`}=+D$zWv4wB@)R2!j_n3CEIcj}6_RkzY!`JP3T!FT~1tl^cOQ{Y~O>`|3eX`m;RF z(c93T@bibIc3=6AK&ZkOfB=)0Jm9@unY) zx)3BJw2r1_DySJOZko9z7l~*9U3wWS+jt97Tk&fD`T}&e4+)(P32I6d;%f(Oy1rWe5b>9i~ z@t1eqW7Jq16FL(F>`V}s7GSF1@?HE z2L;KNy$B@}PHKwa9^kYDu|>$J(XgQ(Xgwlx%Q3n;-peOWu*h+Lq5Z0vC8bCg?4GCt zyl(MTkMN?|+)qxkAWAb>G6v)vSK^+a>Hb32v>WjcO5bv|9RmVkT*R}P+9@FPS(g)3 z=tEq(0HcBs>CHviW5HO#h3sb3_d&Qk(xdq4->#2EQsBCv1sJx=_FPVHS#?}t@ zbiTaYUIIYu!}w9U68`xW%P37$h3j_0-L|icsy5!_q@L&7FldYX)J|f5>kS2HL`?eg zN$DH$75PcYTt>x_NqLxzMnH4vsfJqFF@bl9 z@0>0f5tu4J_vO)!t^d9zzEKanw?5AXsWuaA`K{fE*=l57T~2k$(LEHB)2O1xshO9* zWl`=;Td{mNZchwp0JDC_dP({PHu|`WW0F4=c9AbhQVhKOJPNOVK$n#kXA;NLC8~&l zIFmLUcP-c2nm`+?f!uJk!j;>~ijDI;gZ5JtJHb+4%}Mcg;I?3>E+2t&1vR_$e$nvb zQI3}83xQmQRnKKr4lEhO9?M1d=ji}A!F~Wl@l_m zzGq8c|4d(o01MiqoprRkKa0zbD_u3WpYcX_r%%lRTwF2(I+^LJR%$?I1HwK;(mjmp z!iioQb9`+$Mc$re6@%DULjHJ1MqDpVY}0(?X25bWSa6I7AR=ghr|P-J(Mx~VuRN5S z`^Em75vxJP8OK#M@Wi#I6&Lf?z6Tio1jt!w)4#O4Fx> zodij31~1$LNLM{FgT}NznK>=DWwzyA!~w~0`J$8i_0Oh3GXCHMET5)n;_PXS_wQC z(I(G^X{?j_bG?sdFD?}=xuJE)@?yc2)egCH)Qe+b(+*RU+Ux`U8yKovfI<2M+a7ZQ zdvmf~WOZJQY^_~02C4q+Uwx{>#8*m1*`4qu1ktC40y(iYj{E)?P~*=By+5*l=mbsQ z7C`2n5E(CD)+X^-b|P7kTSCh3ot)}ezlmdVKiT3%af4mWZWn*Cua;I@RT>{qJvZdd za<`)Jbt@U{K@G3AL@cgpSK_=~w#X%apMXo;ZN)+7Cej#SJ52-CM zD9pDTFKU;s)Rew=v^9aUM)&Wy^K(an)FCLf+k^%9q9!l{!t4n7v_hg07&4qevR1ix zkJgZpF#}h-{;8RVQRED!Ud8G)1T~jG&4sYlQMr}Y`n5$gQ0b9Nj!28fv^7>O&2l-( zyk9c!Y~^rH0kJi(62@7E3K?zfech{>+jS*d9Sn5vg$nWvEb4uDWoY969^MRhURbaa zwi`F%YjCl?>r0a=2lGH33aAb313HuDd5fNAfcq+-!2P?L+jTcwJ+RCu+ER79G086D zhO+19^Wra`A5#(9*g0e8%R@CPWy^}2gzxc#W$}w^zZCNu>IWAa@LR{wrl-?uq#2~^ zzd5V>Deg>C`22qt^)r>vA_Hr_QLr*sMK`bbZrFRLuhQ*VEX~bnWkM?>sP^FY%F4AJ zV}WIPYAQL}>KF9}E^OI;UZ@-=Rn;`6aN!nc!#fLm9)t$%SjT@LgPn}!3TUY)w|pUy zHs0BZphdQ+Q zD;-aF=0@9e#~3-Nq;F6saSQ#XNlPUeqdLWT1ui5?3SnLzaqx8fu{F}zR+DGA`i8;z zz-N^`Zd0Av3BP&tT`|!>45-^;E8fr{WWp0t-Wcj1U5hfcjAvNfR=;DB^^z=^dT3SS z9rl{K3ts*sFY_EWM7i}&jfYLAVp+&29ra;Zb%rBjXJ7Q7u3d@eG~?G}?ysnVDOuBp zY*10~IU0OSyEXE{e{1&CD$=@{N-Q1lbUJiaFI7@vX&W?R{0I7GpX94Fdt`T7j)~v> z^}}B{meC!rY2SuR!${>R?|6pC_;I-~*$U!IIv2Amgs|6&Dx*tjZe$FzkSO4ElLt<# zp~jIsyUI&c66Wde;z~!$Nx>=ES{@=ImKqQv~iwcLPt? z9NKU!b=1*Wu>g0zJBl#z{zX0s<7LwI*bjZzLW0<827N(QL%9aih`H}b_Ku(d#wWR; zj&A5C%~lsD`md%1$O*@?KYhgNZ(qT+5&Dkgx2D%xm#W7>OGaAQnt{+uVF=;_(DO5m!BF@X#PUF<{rr{KJh#Rd2BklT z8@wMLm9~ZYsy+5)5Mw|ec$IB^hBFiFmGnEYib{~jf~jnKd$M?Gx4HytC*YY_{dA0k z>;;!GGxH9e`l$S^VLNWH69!uiAY}44H|aIT;E(wTYDj6e-*q(4*0QHJPu&uzna|-V z4x)96{?Lv)Tu8*}x2Km@+7felU}|zn_1m2b{b$~7ZrTbj#bY|(Wl-(i7By|;I+3Fp z)uG2r?^aoxmbT7h8tShW`73v5TbN&FdsxQq47i%PKj~$I=FMmv^>_lMXKKXU;Db*7 zjzhDnJF2pO*xaf6RajSycaNXp3rzqlhAYg;QP2+CImNFT7@!~adc~#J{*Gl{bH9!q zN*zJs+d5P!jw<(9WN_TLHlT_8Y19%tSXzSbzKOc=V4F2j5;qecno;rJWmC{fJ&_lS z?;!I9y>FSXI_Aw5m+e6=^=I)~C`u{thHM~mzNZ@Ho=Wuj4gtulf&1L@MbR!RCcB7% zuPOf5UqxL!L66%pVlVW6GV)IXrHPy-t5W`v{?-V{m*n1^%xx9IZ6%>0g*xt}hnafb zMN?&QZg6&6SZ)Pl14YC}IyFEOUHIp19_18VKyOB?EHM;fj^{h4As%KEgB@X)SL6-W zpYXn+RJS zwMFA27+=8T_5Nr+-_r1g`I)v*$y&G59n+|`zwB8PGCHMDr&{H-z$3ydR=dC zPES=&BL6T9Gjl)bX9*?Y%9|W$r!yx~<2XsW`X{*;=K>oCQI5UQzZ+*p3iOqp_=)#$ zoZXvegUtA$W8#26rbF&A*K@!9957oepA?4eSS1aeY6T@C7eZON&0J6JdbdK{6P>*t zpt7mp7bjJBFLySdUCMrz`42=qMgiK2yQ}q_dT8!{Qo;q4J$s*FplOb`;Kfvq#E6Sb z>&Wqmo?PN6Sll=MqpO1IN{CLc%*0!cd*?xr~FFp=A)Hyq;@L z-Yac=et3EF4~hp0`dYy1V$xr}C40BW`f!d2WlvT%9{R+V@VcWeQSzNPA?mp7eBF0s zh!af=&P4F*R&b9Ohx#FqAvh$8NgMr4lw(x+C}ViX=W5cQn%;BnyAJTZc&4iucY*Z) zZGN0vdo^FhotTtN-gL)_bxu!nl-EjDB#;AE8q<%}D+h4a+0 z`6VSGJMvcoQOzMlA?7%EOtdqxj4E6I3sqrh>&zNZ%uqig#?u_<57v!TE$&izU*N*L4!T5Cv<>kd1elK2kwHM95R1~hm;{^@G&d>hd^{xHyLxfSAsti}14=WMj~anv7>{+w zp>hlQt7Pu5LfJ6?3b@f&U%b|p)zfUDBM+BgN(|b54#NFP8o5l1za2Vkek-T z$F7e)97*z2&)ucN)%2U7TNBSjmE9k=dj16q0Ud*&2%p#JJG64(u`o0^R9q;Ec8Y6ZQ6jFoq!{5nk!S%9fJ|$XE1!<^7ThUFl2q@SSmw z;r-{wW>-ISm1$j~9@;e5{+&KxY*B!{uQse)cq-|+x3hFt-)XD3Kbx&*VOc)u;Jmr$CD(AFf##FNzwvbt zK2Vi#$VWz8lgH%9FZ;s+`Nl9={n}$ujM2I&6rg^z ziKG{v9h|do%es-^UZOf*+q5?6XHWJP+eWUsn%Gg+Hq_#}ccO<{t{fPqrfbmDH49Ae zj9=5zY>6UAJhPHY*VV}qAg!9>^!Jde|GMq^rrs=rV6J$y$(79_BGK1~X_x{!O4 zHlV4~yFhDJm--vK7MZmglymqr3R_nom~jOiLJ@Zz(_cab-3UP{o^GXrDR->nkDJDD zwoNKESb-~=YKZd3lpWODT9XwQ>VA+np{K8XV%c(zS9;*jGMkvEcg8Y^tf-5U!Ga8t zC2Ud0pfRfl{IC|Zl9H)wuYYa7jK1z*!547xD^^T+Mr*;gVm7OaFU_&mX*6-nDbOpY zALO&Wgj&%!(oeWblMm$4jhBodxehyjF*?6Jbb0+Y=ZFK;Eu&k+o=eG3B?9e!w~N)1 z&XxE05y>_m*ro^g2O+wP{Vi!$} zFN>g?^_hg;of;c`A*n{?iXukM&z+8S?83?|x7EhqYaQST-RH*x2 zm7qjkBI`=xw8}Dne=9k#Tg+2ol1C*^E)(%C^y@}n&>m)pR*pEpF?0%SZx0p}AlSz^ z30ZVW_|8rxX!@9~zRwmFi0@6a617b~g`tft<1MXB-SoD*HCckAPAxaW{bsPJUEs?K zawocb0gA(B87h3l&1PVzKOlNdWs{^s#^Kxk`6M=!ZK6IQ!~iY-5?m4JTv_(ITz?8e z&Yvs*K@(}ycy6+Pu12oLus$Izv?9r;t6E~SQhroOH{ko8Djl);ra3{CcCF@(d$@)$rx}0nmfoMMgW+NB8l8_V{N0yrit<6PR$^ zvaaZnK}`UNSQwl}Kc3W4S1UA{RBVxRgHRae&Xx`?a?PdxltrX!{#%bpKpSgyb%J%Z zT_G%2iFViwkM;A(fc`enoN1ni__DPN`kgW&2(XaPV#3UoKj00+ZlBx2@frNK3p67_ zsbc_!jDV>UU5q{k^s)x#xP^Tq-#kj}*|WM3%Jp`Lm0Z1XW%K1HYx4Ty?hrbSh741| z+@$?!ZM2TJwaSL@Pc1PY_FPsdgMyE{*I+?*jFA**^{kHtOf3TZX7Cc^!8>iZW`Ud0AOs0Z$hx4FWz7q~Ede_PhYSjQDg7%{snsf8I;qP{Xnf3@?-6n5 z>@yS`y&Fm~K8`T9utegh_DEe9xA6LHgX72oeD~!^9)8Pn2X&u3N^X^^0Qh+{=dagf zOrX8wD(sV|jqPd#jE3$SnCVat)5=}U|GY?HWVX2mBGV_50d(IANmJTs!SCHe{io)t zf}xuK%Pcb6pzlfCxqn`qtDV{?@QeYa3RPI+s$LOgKEO1I&DY+7{F6jSQe_=Uw@GB> ziOq!K(0dPpQG`8&?-h16lB;k06qjpR%UT%ExV6!-rZZWw*Ag`cyT3n(Q-FSu^pL^+ z2QXiJ3YOHy1^~#IqGqKu}T z($pMq#%Si%wx~1mqaTMN$BFhHlTsd1LH|Z)p_SODxe)qDtGyZ+o{XEPJb6P>P(O!U z_txQD%i(fqK->i<+B3X_nap=tDJ)9PKN$wxk8j!@`Frr`%sj0=x1XL$EU&msu7t48 zpU3f|@oy{>hs$GQ(_BtL%Osw7d*!KE1vruzh>k)Yp*v;w)l$2Ccg82Hp`B{fz&UC_ z;FFwhvX*n;<<@-q!-W#a(2{|Frd|1TFN=EQc?9lLwfkMj9ja_+(ha;mjcLikpen@A zlXqtfkvq0aN(_+#CO)(${q%pazXP3P=37YElguCa7f|k@zjlH&9u)=2%m;qVDtFri z{1}Wv&xYkXV6F!NTlt<>6CgRVsE@2Sxu6kb@M(K4(cM;ppByjNItIb_xs+ZQtDM;P zOSwmLz?_q|nlx;cl4&aYnuTA}>Ytl?s0xPF$#o$XNlXi=fNWT_T!!=`wp=Iy=oIlP zaV1(z)xf7|vwt3QHR%MK@!0wpr0iUOr@!t0nQo^OeD&}s50v3(kXLhz$y4%W-o>K& z{}K6%(?_Z(0wZ8v$v4BI$c|%3ogLx7fb}aWe^x~3D_{umEs=yaU3VD8b>gZKd>1p79Wo;*kOjZxFQ3qHDnb+i5l0=z>CxYpW`Kkr_cN|%wK1%pGnI{yP@ zX%jjr)N(hCd2QYN3AT-AM@dg@Q+}f^O;~R@=SaJ; zQ#H2|k8iWSZ&N1S?$=s4dH%P@|0bR9(5~iBBR{zt1iZ?>ipLN1HGDW zRzA=RJ-h|mR2On~eRzY~aus|(P2rasG=qgA#iY8e@)(xN=S1T)C~DPl^;#(3<&S;7 z#eLXD%|=GV>Lz9!?pBlm8|MTsigCFZ?%1?Y&IXM$aA{-Yi89tnJpgXEl!DhI!r&tM zVIAs(H)br#H3|E~6*Z@;qL8LuC?5FzZ*q?`_it9GLM2D!~_NTUXbsU9AF zX%PLhYfGUUz?V3|J_iXp&6D*KEaJNgsEyC!m^4qwJp>kG$IqzDarK<$+J>?;&X;|x zMcb%+5g8~~tIU!6+fB{0&BD1Io4k5F-)H?WTu^Wx{0pAiclU&tX-F3R7u4X@5^0T! zrua;9$MYcNRyj`wpaV`$c#5<56i27Tx#_;L`s(~?1nSuYY`+EExx2^FU76$B{Mqq| zapmXq2_LD-H6}yil=35TepekgJ(#oJIBx+Y%;Hxz6LOttyam%xr@0);t?-V*b z&4$0MD%LmPU52FDeTqx~$~{JIu_V-&-?#FlUX77M<+FNJCv|i1y z-fcA|-rNX5(iyC=k4EfJi|ridZR>R{ckopnryXZAc)l1``R9`!@U6#7K>2A-^ve$>vk1)IO3|U6dA=JV5~!{=t|C4MTUl8~{8)sU`>VEqW6a8z`x-E4Ni-wL5X>truP>*@!IqnpPqQp423hGJRo_f^ zxVHx{5i~;`L3BaCRk7!%vANj)wD;)x(Dq#w+hN;d zIQ<%?q*Q|>fAmk^#2U|kqr8kJks=Y7ey7kDmk(y!4W)PW`zsJel^Pq6>Ew56ldfKo zyMnD}K15-b{eK)?dpy(o|Nm^p+~=0I%>6Ev+riv6l1mBcA}0xR>m0X{`)w|fn)|)P zN}@P%?}+X{lp(ZdTZ;JQil#$Rp@N~ zUC?23E&X7JC4N3^-#$cmETon1>e%gB;Y_K?k0WNE)JNoa^y{>c#{lvqLo?5T_*JFj zFZHjF3ZJ-5H)whVM!a9N^}uiy`2XB99-EmqOZ1NUXw`7M|G#m4r5DNNBgL&{ma=D! zS!Z**Af1Z2RaV_zrY@`h`FZ}c{P6kH%-%{x<*MZvmAgR6y6E&bH~;&8$l!Iq_HLrx zKpjhDy}|;W*9NOcJQg*1VR{5=XGW2;EW>jcCl7-felqWFWfg^!G#9td1O5-532H=K z9hRU%nC$~+yXl;&Aw|8TD>S$qQSJ?-f@z(3Vx-+7{Jd6-&dkV)U8f&ViIH5n{(>pd zg|Fke3w%9R-kLpmRPAr?hWPFF`so3^nDoFt{vzw7_EQhrEWAH}7xq7dp0o(NXmqul zl9-*IS(G{n5-Q}|Joz}~5S7{wz|o_V5<^G2DN`Fhvwta{|BqRR{iFOZxoa0D%R>1Q zw^woE*X{ROPo8|@Bf%QC8&%9VY$9-aSq;ctv$V3bB>%trzqLd+v(`di z?B5sTfnBDmMx&N9)QI|W-)=tE&UY9{MccI@-w+bsFKAlCU?UundoZ*!Z$#cJo&+-V z$l@)9J4}MMg}a{JEUez1A>*Pazx?GGQR@#%q1wIS7(@4s^B))G`g9%Kq(<;dNQKO*E>^A^YyH6^h{OnIRciyRErLUqiymcVQ znHsA0=;W_N$#rSc6>F=cnB{y9tdcpl6ly-2pa&j{s7Sr(lFMQPx;Ui0CcNf8xe8_^%<{^ie1wV# zpzUl!vZAKJb?e45WE|p@`qmnk3Lz@vE`O*OtnbGK=BmJUc%v~E51lM4L;!OSvFG`a z+j7_Z-*nDfq;?Qk1e{p)>~K^4>|qtiF{p4S055GZ5j4qq9NgF(748wWq&gj+i1kb$^Z>^t#2zobwJ!>`Q=X8^K$p{HiGgggP@71r zbCJ{AK>_&p82A>o1qmgJX}F})srN+z)7P=+$l08d>R7}T;O`ewrrD&D1=b6jgJT9vndkokL4i@#D= z8Q|Gx=E>1#(U*bqAJeof=jPYs^ZBs!3f;<{-O&JugzcHHQYQ3Ytp(rtcuK+*L_3!IywNtY$kvP9i^e$K(%e`tLx_JRynl-Ixp+w${?(*-#PTAXb}S zSp=U4%#7tcR1l465)h=>PHv@RZ^15x%>Uk}P~3NVLnEZjf{e~_v~3x691~D+hTe`J z)X&!;EQgl;2I9(Nxlp2{0B5nc%-s0KjdrX>c@&vX0?EteJFMaUDK{fpvx8m$-CYQV zQ(4wXMQQh_IiZ}3O~;G?HZS{eu>8b@fnofNSN$%w7UL}7t`T;Ya=209{@glg6K}jX zyE*W^OW=)`A^!);3}q|Uzs~Vt<2rZ*zldwa<55~)SUN|s;0&mEh&5!z5+0g|LZ2gPdDE*jj+l#0`PeVdV9Q2|Y-k1!VDeJ@h28eV9WfxmF2)u5c zi~k_fvhI<{y!C#2$p5tp7kdk`SS27;d#U!pU>2IxaL_NHE=LD;H_iZ<{gXSI8kY~# zhLDJyjq=4D$D3FSoc}i#{>j&|@Yk-r?_b@Hd)gh1qdOrXEZf`=^}o zbY!^xSy8_9{nN|RSCSJMEFAhLe5H%lDysoyz59C109FcG*JEH;uV%J^rff4t)8|VW z82^x>xYvD1Xu}_Gf?#+5Jn`tn?9qMQe}DSkn?J)Yvu5Z4mfk2#bhDl#A=;N1Ib(>q-u%ER8-r1jcBOIl^Jx&t+RXCp%i*YR`n<+J@a z*L>o?K6==Tfsj38a(Ugb*y0^}E=VC6dD8BP^itwKF(7M}0(>I{4<72*alqVoRw~phVv@*WjO#S2C&>wHcdXLHc9hGWa zK<|BSKESr!BHHd%s%>C;Y^sk)7mT8UK}pKS>+FOwYOsvC4fy6TujT~s1z^g^#(mA^ zzJYottFrH+`tz9mL89{T**``)KD{0Y^=-Mycd9UF$K_tWn7TKxHv+g7b3s0yHZc6R zTGaYGMg}{D7i6=as zbCw@24tRWAX%P8OrM?(K#eTXv!S+w!>4~2We=KDfL2s%nMUaxkT9O)Pi%C8ZiExM+ zeuD<;o6q=bmQp1m2FWXBPp?upzFyQ*7qwXRZflER5tZK*p5~e9Ieavs-;Yd;p`8Ab=)M8` z?T#vQdU$J$d=pn;9dqvVzRkpp{m%FBF3M#fQ$_r2Ubp&JRVQSpPBnVjA;jT`3Wx%>|#;@hQr2y3`w;mxHg;uM2t zW|EZ9pef&iXiL!nD?WYfSL~Yl7rQt7cK+2R!9Qm|KV~`2s+}`u%TWka zW9nJpnKtuzqrb+0C-I#HhW~Hw= z%Ql{E!=CyRNa!1fls(naZWto8mW*62{@eQ>nbOZGI%Z{ zB2U0+QB^{1ptcz1w)UtI%0rngISk2AZ_b+pd!6{t&&js;r7Ox~$~-QpHt*lKsSMT? zc`mm7uL=G%M2 z*W_%Ql1lyr!khXZb<3+Qv~xZxv9^WqpJeX%u-w!kpF7;aE5N_u=1+UWj@~)DeIAxi zJ<-c0+;!T`E5$poTUg1K*)<%pFs1o&IO-lD+qjEhX!AYsd;h4w&H&X>19B{(JN`YY zgPs5AOaE_RHabJGb4u|%VB-@m36XnmTgt<;-zIt~ESfeUo=O^n$Q&s=l1@`t&qk?S zXyd-^C$MzoSm4<9Ej}J8lWM7*AMB^_#w)>I`bGd9v$NZeTt#n;2=*+USpSir zze^TeRlHT^z8RC8tFtO|<{^<0>J+%UO1%PPV>KV_r-?7UNmU8^m@uZFYrj5L**^w* zZ?Ejv9U;W;quYmPP|PZIqmdhqrpw_>z*hU5K)}=x{Lm~*EinMOS0Mj`Dl6L%yG_!7 zvR|leVf<&d?R#!>nVNKTm>mV|Nl5rdE$rg}=RelPH7XA?+&053>1=T ze*@LCR+Za4#7qukA_QCo8;e4jYd}VF39z!7!q|1JdegN7cAX9%8$*iy3O*JD_0NCurvJpUSc{Ps`xbqvZ z*a0M#BQ-C}W-26Eq#?M?v4ABh=nHf?J<8k4`>=|qyyC7d6)cwKJHF4ZT25`gnOHNv zHklnhK854&nkEr#gTcZ!Q^e`YzksXzwePF1)s^zuz~?Z4Fv8i-Let=lp1)C>6b9qp?!C#FC6&PwKPu>CgHy|)`6}Xtzor78{S!GkX z=DXZA;OsGj_s=9=#r9jD+Z>AEnCqClhK1>C1|YTCGgk0@dU5$S*c;DRh)Vuc7hs3F z_A#ksnT-=XYA#rzPce(#qs_Ax1c8UH&%y2ur_D%N7KS4C8z@1N`Ccp9u`Fe6aLQZj zq)<`ai5&esTwGq$;PKlJR_aj{!hp`e8(GOT+aAG<^X#rRq6 zhmsYh_!Yo!F~#s9?L{mh+X+Z;8V8|4DHgb=(`6kp<{4V{)Wd&X4UaY@CDhVkiE)GUL*YEjVau?4U&WP$qVgw+w)rk!*Hdl&OML^`-Kt7)CGM2bBC{#P7a&B^etuWQ!f5a~|G7Di5>bx9n#7EO|AcLuXG~ z+}yA-v)w;u7L!%aVN{`SaplLQfaQnFlBfz};S(v#j z>e{bZ%K0u0Y5d6N!|2q7*?G{BQV^i%^FuG5s4@Y;niIsx3b--MvqC5OhfbHY(gSg! ztN1B{FbMx`?kLq{rucTb?Yl+=R>3kWW7r5%1QcD6ZRYDfG(8Js&tZ2SoZ9^eI*!1& z@38~9LI~f}Tc4iXB>a11RyE*r8cBF+M({&EVuEYCOy)yfKC2l1M^CG$oZH9CN{3B! z4V@>P>4I)L3>>*bM?OphUQabRv*C~t_K06+ zrGbr{cCZlzc5;0ET$*7+Ob}-r zSs0}LF+FJtMCJ@i+lmjZRi0E6PWE9cPPL?*MC8XPH=|HIQb41gz0$B}IPBekp60+I-*C_qfHeKR{ohu+c5mSW*E6 zK3<+h77aUc`#)=h!MIKRBhlKLM+*Mn)D^%`-vPMk`wr{)<7MBnP!7(o;SUQci#n=m zXgJ}#PuAydTb(TzS;zsE#s_&z>Rq^%`n z@2v*xQ|V_iC|Iy6>`?Q%>q*OSgeyp-wf;kELF~8D`>52Nw?Gd4?Kc zCSh^xcDFWAFzXA&6fHe`I9u(4jS@AahA`Fcd}89#j1q?Dehz z4b%FCC_KrT_s-NO{wjjh`ik^z@44sqj?U;Y}y#Wbh*d_Lul>_gXA8|)~^RLdGIRX1?%Myt-4)LYIw#P*(J%)kljLYQ~5(WjB3mL1E z$|@r7xEDwfn>ewfmm8C54~?BjDpwU%`FeXrmLixR<>$656a6>BEGR}*B=cxBT7 z9@PiU^PI`;2x{Q&0KMjhbJ#gRXYl7Bsw%T!slNK|iODBe@%reiRBx%CCg*sZMn zL}R$|<^a96FVR^@kfdMORmh4b#oYWc<7M00b+GFxIOiuEhiB}m7bzgx-yR~IsyBN! zb)e6XYI@W5N-h>Shj{V{MRZd%?AbcFB+BYPa(f``LoI2mY~%dgrkHQ%t>Of)r`6nI zT0m6NZIJtY(fhO?F;WoWbFEdXB`e0kIKc#jc|x{%J=pe4kB-6E2AtMh=l_v0F3Ufi zH$i_2=u+km%XbFAz2iwRZHtv{QfID}W9g{kdBnC@rW6XGNaJj~-YuR5YW4oI;L|*B3avr6Q4wim-ZD8+!f5mVi zzC)Otn%W^xA7CTy}J2gEvFh0`)`l**{f_*LN4M&UEo`l)%={;q{^qj z+4YBaXH*Eo3O-91b0cxml7A~FF%;%{$0w#{d%-38C^Z2KML3K4E281~X6;^NvSH|Z?kg)|kV z@L&{D09pGV78fSRCuqXJKFSz*hI&xX%sD&+v9|BF^R3SO*?p#$g7H%^tLvjly!&(& zXILH?HR^f`1Fl43yB;xeX%dJZWbp>A#`OZ_Cefr~{jqRr3pn`fQ*>~;8Hc@zTZsLf zkY|Dkd>WA9*6HNEtdGPe%R=&&6!k525G+u76fwi2@a3-4un&kV5+f*`!=}NYhzD=n zC1Y>7pR+ZvV;UN>qdxsi3*c1#VDup9{@TV=hl;tWwP_3lC%+Q&x3ss?`EiUlzeH7- zEViSj9uBW|wD9DgfSGo0F2^KX3wbqWsa)r^i@poUn_gQAJZUIf(}{hzmV*6yfDR3S zWZhY^c2;IT;l!{RCbyQHp@i3>dN#J5po+$rqkk8$2*^h5<$dXc$a{2BnPB<+XlS%q z1dmyQ<9N;^PV5-$`C#ZT);o{{c8pC@{@*qkY_FV`61{VQDNo*ri`vAAau30sY(F_J z*u0}=yrMFNsOcgl#VWF3d7Q2&h55+6%c0|-Bt`1TTb-k5mjAlUoe(S6m8ClQ{ZB+p zp;Y25Ri2a2WOF+2K!~Q;p<)XU9ndYVJ88@@-oy#d=f3#d&3a%a+AhiZ4S=TD@0XA1 z3CYh{`F4*k)U4NvL;HKibNSXeZR7jp^l9a4-C3fMYQia(hyKNe znH#oc5fM_>^&u)o(nF~bqsq6-t{lmVODja3S39P6=vPlDA6h%XOS3bE{ZDY;XgX}@ z=Ij!Ant#>b1wPn4z3h3#*||2p3i^QiJ$~U87$gLXp9NnEe16P!T5c|Cp+krED>N4K zvsL|>AgE7@^>R6*#q%roUQ)f=5gjDx16X6v- z=9eJez8KN}P|gdy zkm`Em%m2@@^~);$NinzuFiSN+IGj{|7sxBK$}1=`c8;sWVd$WVqwf-A`Q#QYCAmOvNUHYXR91&Zwxem}23SUE<#q ztWax;E$NfXpk+yS8siC^^eH#imp)&6WWRL!uqN0p#9RMoi~+>U_x!+e?G;9vg-_`f z$#eVDgDT?9zp_P5(9SUL#j2aip0467f-&!`>(9(eq5>C<3^X^_knzkd-kRdI$k;AgFU?4H$N&-hhq_i;S>H3$>PV& zvY+^TQwq~>$JcEn?#psL%&+DYLV0HnFAm9+@*J~U{8Kk*e*g}P0jVnjGjf)Vlju<| ztk&7WewDbC56@)04AztCCoqrDVVV>(@aepI&#u8b@2HowQo;u)bFE9B6I}BTaQ4pt zn*ImTv2P;9%kll?_T1Mm=XE@*HrGQ+I!tO|kOZ4W6nSW#?u1Kyp9eto=Ry^35sPinn z=oNPP{%+#Ewts+2t$8H9moM@6^~J7luj3mxLqo&fUCSvU67q1;-n!2Mj&gi^Vr~j& z@S-^rdUB`blEIpe>?^rx7sRq2xlNU4Jw9WOl5yVI?9v8c;Dq6SLz>WqQM>{s%Atv>0T>kRv7KFd4Z#0ev58$s5HNTA`eXo^LqbL zWs>+w3yqCdXMlV!V9)53uMbMMS$xF_>H__m?SsQwA7{hl0SgeMoLE@6MKb_i z_xIZ%Gu$_AE-GV-_H_)GHhvh>n=ihB{2ZTo-|fn$qK_XBSlVBZt6Aphh;@dloRye4 zk~KLBb;~HlpFTAw-f?z0>E4PQjWh;hoRk@e%BniP^1}M^M5XsXqsFV_hcowqf28dp zSIKu;m?si%`kvyxv=@qB>S24MWU zfxfFyaT#mz-sF3Bs9u$mp94Lc*z2%cDhr2WuupGBH|eL!_HwX(o3rawCzXoU^~Th4 z0_io+*E2y4R(1&3m}9xe@tKLL_-5HZCfPn)NEFDNcV3)w#x*Dfq6-1RPVW zZN05tX3}jubA0Y?W()wkON0r~-YIaeA8PH{XU}uy4QDLrUP_qxHY?#P;EwuyIa`Gk zC>#gUZRUQXhB=X4y92CJDD5jk16jqC^6mff%Ik&mU+}0nbJ(DYz5*0+ALzGeZ zS2Bc`wvJrNcOnZ7m>tOXAU$C@2(`~bGX63b#b0}|jZ1FAxAylu;j#^4gB@`i674S- zCHPe&N_`AS0!Of8OMxm)0z2oPb&tC}OIb4UC*1|oao4$)#O=kLM-&^(!lC>tJ%9{< zrsXJxK39QZZx>ALPygi8#fhgpUo6V*VM`EL{*%)vb}C?j>pV4VevtT%$xYCJDv-nG zu^ZcKzkGr*@VfC1(BHBwixHv3OTZ^{RuFX!#FHQYr6jh{>Z&nj`0YI~u_o(Hqu4ds zI|J}-1$uK$>;F1UQdjKAP2+9D#tSh?;X}qf{=W#5%|`8%enA*5G}tFz9#K~NsaGWo*h?KfjZ5ime9fs4M_I2+_J!g^>*4C(Qb26u51O| zlAtE>HLv^GZI#SvaPysxiU@YL#{32@nZ(Z;as=45fR^hfOy1d+`5VAK1?)bqXEL>k zsr>={9P9y27Spc<%yzerJV?h*fKX!im+b?dT{7=Y_gCvZiTZ7RdZz3ztDC96z(^m* zPr{z5%R8HuH4X>d_8l_s-0g?JPiumli%B;6>@bUYAn~KX30#mfE0&AgL z={N^E;RRgK$$5Dzc^^%^j5lI$9iZdMf@m#$y<+dgpQ-RIbcIFf2GB1BjE1J`gr?H{ zks`mia1!?t@OiP7CL7*oyjfA11(@mkaAxjwS&#?z+qP`Cg(cVS0%vl4nk+7`Whsd^ z`V`D+<;7&2h~PO-X}f{%Hi#YeHp^cSa^g+k<}t}+b(iR_-#|y}>Q5)KvH^sAML_m* z^7PSz>YSpGgYP(sy16}?{`xDVQtMIPthX0r33V-eVJD=dewSrCo&x&QYm($^#^=r3 zM2*qgZy?XD)?qmX)pnS*@fs$EdKpaqxgn6+%`>8~J6rKEysg7zj}i+MW6))=kdxN# zV1AGVIZVggX&jV0Ryuy(r-b|+w#_Mg5U_+0YJXnEwQvZt&A;LhiLJ0Fi)=p%c>7P* zhuJ6nCl`tat&=kgu?G!jpCaIu`~lO$Ihld% z=8GjcS&W>w7JHzeNK(-?dPXYDOEfF@hjXxE;krUC#*^?SEFl2WAT@Ak)`0vPc>Ik& z0Z-D{?=v3q|KjPq9PI1dL`?=<+(N{j(F^MAe9b z4X?YjP+e$O&ZbCPx^7<-{tHbDP}aSA1!Gv49rHv$+s@8hQD!QPepsnXzuiAbbUK## z7-AG$z6cCxBR*D zIb3n=MXVSOv_0=HKG<~TIVbST^^OYRn>3>`PQEdyCqgBa0%8V@MF`b{-ct@ zEQw6B#*d?6krgAP1Okp<{c^}Gv0+F~O~c`KLIDbFu}bVzfMHJ+iaM40^asbd<3o4l zXv^z3Q7t9!s}1Qnf-V}Ny&A#%VFE(wAh1yZYKEMByd-M9vyfksGj-|JIB!dfe5IwVTjq|In9%b=b2z(2IEhiPdZd9!;R5s9@#j5-a=?Y ze{N?ft9 z%FmgqUHiI7L29_?MRrX051XG+8v&5*hBQ>(wC1wcum07FDfoBWPAMRt_p;(r?+e8J zHm8k63|B%=O=U|b$prX&kXXy;v(9am*|Ms0v2j8(?0~2>oVb5vcgs?_jp>J<9J9HH zEc4`5(0$-0?Vq_XZQ-aw0c9r2uS{vk%`rZp*xyq0lLbLbc1BeFhm!*${Qv#^x78VC zh0=Mn62%89>YTV;M$&p`J>gwYU0Lh+7m;R!JD^HPGHf>ti&RHbGSYd-;%UfxT^TJ{w zI)YB3b^foi{aAyEj;8E;UToXEQWN!+lLyDfyb*_(Re5an;*BxWxtzEWr`aW(K%~B< zO98)zOv=!=PYO1z0-P~9LUcoqKKy;|lh?rrWdnfLaE9pytQ`5`U1)=haNiL&CFSdm zB0x_J&c19wL@+HIlNeEPdQ8XT7&IDQWd4>&<{1*|laVNE3Z6=*JmAb_?8~Kzw1VMw z_pg4%WIEWZA2jw)a|npe+8n*LGwjVXKX$m~;RNqKr5sg3#*<(1Yy`uIwb)u!r}OutN6Z`0V(6*|&W*zJ{1a`o*cH;Gk{F#r7O zm7x2I;_=kw?pB-S(b*m(7VN@}ktO_#w~kKAJUs}nCY0m3ysK1IoD#Of4+Wk; zK}PP(jXyG--X>6yOWA8b!5#>?dyM|0sc7eQrbRsMm0A6?87-<4%ryjQ2m`t)?~!4TvNcEVwUfwx!ezUR2PNZx@rhonvab-tsCAM0fn zix8E>Xf8O__)xT*MNgpVH}Ez}K56zhkipuBF#tYUmL641;V^XKsgDk8epo#G4t3*g zXj35;TRB&5;ydS2RMx0I7(F-!sz8qi+S`2IxU~IiJDEB@4n`~hS=+oAH zZQ2eQ=A98ad@>fsnMzROsz1TVlQ>?p>JW08;B+LWmLB372B8o8@yd78x zIvt%33DNL1oJdxD*So!P3k(zCF6!tM4^3JC>E}=RUve8DocDt=T-Flzp{OalOOzR< z;VgJmrWCRw+c~FPuDRPq2?s?I=^oI0-R}t;4M+>drhB?=NOLsufVNCCi=aG0nG)p| zg*wYxZIX!c!+5M?%K_a00Atmwj=jLcip_xesPf8p)8?_lbZyA>j_b9Uq)nc+H4?Y8 zMv16`^nuCGJYpS$B>h6TC!N}qe}@wwCB~V6&W$>jLfl=zX2a6TJPg4#9|wme*qqoD z|1woYeI67-l<#3MY(%HI22}6ETTt}4BR>hA&AJM$JQ_(ve~X@uq>@+02Egp?X1<_S ziidt%&5aw2G{y%&{`ley(RGv8_|$50UlP?_qzm*F=+|G;Ksco6Pv+&VZ|{flIgchLR4aFsmij1U!vei zA$+ehbe0+%K0f}+qSIk%jK{{p&sO1W{Gh0vMFu*jH_jK-lbjtnp7II!hJEWQp1PLW zmn2;IxfU9*;ek08pqj6iOX|x%;xxwrVf7jC^NR=DrayImOR$nZHFErxqK`L~p#$ey zoEWw(Kby2ny9sZK)#2+kinVAC`|s29KW!f0RDN4@1veVBm#mW6rP|>vFl5A&mkv}U z@x*Lm_k6$3_PzWK;M2H_Z+pg$zG=3)wwLa4|8%eYTG=~v7x)%&UGn1i(rDF96({X~ zmVxYNYDU50`7PdtO_3XY|8duX0jeD;SxudE^7N+ngY8LJHh7IeLv45gd+70jRLwhQ za{UB4hZ%PS{>99ki?8A_Z9ypr0++jNZ=RLRZ@Z9e3WiWz;`{h;Y#*sgNZ~Vj4fE7{ zTv^!DVr_fhY~)Eq-=*x?PA$Ms!L>iQyj%`oQ>$Zhp1}=(<+6RW;lg~ox+!dZM!H|D zJkppNxI>1g2#4IhrFE|A$+lOOd<>62EE|LlIvvJ%u9qt1 z(6ZB7A^a;IU;xPwiVMO;k0KT{dH&5B)^p`xUQ}a(&SfPy5%Jv3}cCPs@^*Tl;9XLe6X#w^)$*^KoH}; zbD|FyJO#*o=_d122J_Qp?C%L9`0y1Z#6jv$tAlSuZ7GOPK6Y*h*~A0QrX9E!kev6EHxu@ z{10r|Oe)V1?MqTyKN(QTZ+}oym@#reex!H@Nx?2H`HVq(x$fJTEU?<5;P05=g&ob6 zur6APk$=rl`D@;?$Gi%{cb=X*?uTpp>a?q+M>&DmhU}XrgDoo>gGk+?3(G@1k^;c4 z@?Uv5gdDFtoUr=`dac-7mL;SA7h>|Jig?@f)BC?^s$UfK<_X-^*@akXGfZffmIvno#YsP+rAhN_4%tKqR(m`wG~`xI}p zSWv5x=*f3ZG2acJb*5ueJvfH3w>wi~8tN$OB)0=h;r+f2@Vn;gD9dcQH_!5$)SDC0 z2d@vw!uCFrDx1gZk%OXmnR*a!E|~B~{V>;n^l$#_RO~Yo`SSVGe8cI^n_flmAG2q5gXhVv8oLfa# za>z8@P6_|T2cE~mcyHZ^8E#auas*y38tN&aSustd1}5VKbB<+bx20B|)SpoDe`Zm^ zjt$?hg<6Lh@hapP=?zQj)x15uPh1BnSMa}*sgnD8be2AJ{f^_(PghyjPKP)qgJ@xo znw^gwuAKcMiLFcIg!l1t72y0+jNV$$s9LJ7Ep=leqLe1DL3KFb1-y&h7c++EockOX z;<9aU78#`delnj?v8#v-)cgiI(Hx6D*oWYbsZ6V_Kyt$_g;T~;bK(=-$O2VCX-akI zOoy2BbFMR(@a!1noClNn8c>O8L4~R0d4@(Dkd@u0L&il_l7Gf%u=_0G$W(T*- z{K-m037xYsC;oNCFpWhH%5x@XzyzpI*i-UbX0l*cRak5s==eC|_IdxfZ*t#9xoZ}; zW9hr>?~tQKtR_%L+l~j5r_DnXa>hxZlJSO)etEw=i1-x8d(zG6*F zz@@vuy~xi%*o{rV2DgvqwwSl2;zW5ZacR$lI#FEhg!#H^-5t>4;8b)mmegFem0%)) zb?o>ef)jj64(3t!FUnp_dN)quU{4wnPrrKylH3j=tU1Ekbj{=eZ5}j$UG&Yu6Pli{eFJ7tyzc7*11C9nTn?H*v zlS3qFA1L(Gvnz*GY9WUm?=o(@?3hZOR@Uzj&s# zG3Ca*{(~?TX5w_a`xy;pweqk_d_i&rp_LbiR2pC0zk6c$_Ny2TP4nFs5j@<63&jY%!Uw#m$L54Je=-F4DzC8_&({KLwp06 zH{Zmq*?;=_O;h=Jc&o=HA2-T=mG*O$3qPJ@cZr?{{0e1Ai5H9?z=8+hHOj9NYntPo zp=k;&7M^NghZ?T;nPNHuBf@ySltSo+1VHNPL#LOw%L}Hrjg=?onLU8^bL1;(zOEQ= z!tx=fkKf$(LWLcehn}YOM)!53@^GZO>5We(ALJy8IvrkR5dk0f^-E5(kxEV!B4L`v z?DvG7$-IIQ_Vsn!*O#_%p@7b~d+1tk@IumTHU?q-bnk~SiHBYIkwe-{Hd}M=8&SnW zpsZTlxUd+;chhiJ%aqp2OWfqF0B)!uSqfkatv3@u#ong6m@bsZeIp+4SXM0Ea5a04 zxv(2ds5}ia7i58}ZypTf#=m&8?pb;P{O;)HN3o0s06TN*@Pv;T>I&31zjhz^}N%$s>l{q6OT2@cBR7 zh1Ny+@|K`?}AXq}S9- z$ep&MVpeg&U+nxMW}XCIZ1>hQVUfZa5Y9Kdoe=;tJJ_C9hWXKH#DMvKzXsnX^9y8M z-BeRzKkylv`vgkY6pk2k*;@_EP0{XScLN_60$x&2?po9O;6-EUdv806Q8fh z*c$p@4hra=y`sDIqXonm!B9S*C}&>#C${37rPeV*4CaP09qaVSqYzv~WS&@fDp|PZ zrI=d|P!}n$2*p5NTDhI2#3RNmA?@;R@FN@3yy=effSn=hL`$)aOtB%U_jW?HnRo>Y z1zLg5h)*jP#N>#AQ%rtvsP$T%;84GDH=6W}g_9{x+c;m_&dxq9XR;L|6Gt*cT=+zU zhsl;!@lS3l!U8Q=C={v>$0b1wocnu={BP>e1FmSM9nwi8MR_9?(O)39i$NNdW?dC0B)f?J3CtX-2m%dEl8M7yd@n>OOEm)Vd-LNwM(E z*w61ft;AkDr^g<>dm6uzXJhF*18IH|{rBa`6~ng)MZ3#AxN)R%ic-eF>WUrd{WKRg z@M{an(>a!S+JEaB^CpgCaZ8@U>|&+tk0%VKj?ja%W$WbvAv#S?J(O z@}key`j^%ind^;Z)#axngszP|IligH_twYll=SAl?@_vRk}gC*3-Z9|9=Wn-wPyCT zgn{b?#{n4BG%gu2n@*R1cjEhNvDsf>jIJ~&Vn00dcpCZX%gbu}YSWdL*4%`~<3q*S z;_pm6MF#D=r68H%F%dBZ#`?n>PzU!mTg3HrjZEcnxcn;(XpL*%x3f8OzkzY>IG)4B z@_jQ9<4}I9r3GP<;-^+yf?XW3cj9}9XBj#gP}LAa_ogiqQN;4W!K=9YfJ^eZn7Gn9 zQJLpqHVB9CwdQKRn6JQkTCsQv9mY;2C{N(k!RP53%@ z(ZsDTGNjAKkGCmj_k3z5b~bQp0S2fN>hsABnB8&q{3WA$2#v{*1t=@S=_t7CN|S~=;XVc zty)oTLSu#L5=cA?>-d?%&3^-iQ$e5y3y0~;O>>?*pGTm>AqUe-+?rcNpa5s*#@-a>nIE@arJHFFN?<1RH zJNQB~KwdT6TI@h7VVQCZs^qR~q21?~S5tj(XF#+C-BoMEMA*%0jb%*Y<}8C!l2nWW zfNH(wh^mz}1|xDO5`L1E?ttCpxQSaGT#HgQDU$-LF59Tzvec`tT!TCF19$qtQj<+& zw$xYc!Vc*uUI2to-W5o%;p!+uAm&seaZMoY;R}zh)M5F}LQ7?2 zs{&kEMoe`RM#)o#w?SWDDi9(xDJzSEicOpP?yJjWSJ>o-;0a5$d67`!LnEavedrgo z?k=?Zdq#YFG~LBl?asQ>M4kB7k@-P*T9QO|j$*p`h%r1P`_7*N%eyZzSGPt7BH<@`C*E`yZ%-nq&J4@64m_ngLzPK%(DFL#Ni*m=| zrC@SMer=-L%RL#LvsS~xU0@9i`Mmt_@$n@88j^h4BBt}FCx)r5A8)ejQzad(I~D2Y zwU|%_oRz2WFWxUE6+i#q?t<<-zlv_s$&!&V`_2HJ&A7GkPycPmc-I=EQM1J?N%#Hb zYpRKhM~qk0hQ8-q?nSIgDEn)*Uh~3-PqotI>&F}0fM;caaBxYbJJ8H{4cmWq;a}Tl z108085f9>qj9my;weNeJTAczk;!nkXUA3yQ3jbGU2HbcdvUs*-ERlx-N7~Kr>j`PQ zv-AC29$XLRhj(dhC3eS(rdoOkzRTRMk{=yQR!sz#{FhqNG7?OU=b;4PLwK9!>-<>X z5vlN!e9;MB-oxv`CRM0MZMmMk_wiQ$x_g&XQ^V+2j$5wk73m(5CEg zIo+6D9Rn<>@z@*fuqPKnm;i7`%{_Q zkt54|t%^#1A{4?wds;a{EO8p?RrlUQvr~KUDUnn(sdTx*M6g`mz1DKSwoaH!Pya}B zOP4||dQ@-QoWoi9@&QAJYvM{y?u>*CKrZ$-J3_J#CqJ5}V9tlX`cF-B73PiuZN7KzUxJtCC~Nwe7G`TQlIP!BITv+(9T=J4zt}+Mo;oTSV)dt zQC9<-J~PUBMmrNO|H073K7I0{>1}u9!2jM{x@4u0zpux|%V)w{97w)8r-|*37Ka@3 zU+&BpJ6CtFvrai3)$J;;&JG*(IGWx5-_z<@-o>!v@Vv(U(uStSSDqUk*L!Tw8Ag+0 zwrshP`DoQ$`|RAAVm{dMwVtBe(NG(9d3&IdyzR431SEEOIq;mR-r6$_!Vw&B;Yy}3 zO1v4M=B!E7$)QR55Y~MHq?SzOgxUt#YdkOTAsU}Y{~)iE_NvvNE^K!iM98h~PunE4 zwj+}QdZD0Texgh{s7wI81FjCV64#{lVTnmfr&)khq<>*9`!nH9{2{PX&RLc^CDs*< zQ_Ns~+mR|#gzdlp-haZ`SN&}2*Yv(B%p$)Wq?iStDI1QM#xcb492UQS08KMu!ndwb zNBc!#MD6yOayc(2M9sm;?CXN?W2mX}x>97TI2{M!>|Zm!n;xo{sQgHV&}RtxyY4E+ zq!p6!uvl4Qz!j$E9RvxZ9LBHgD<=owU3=9wIpH0NO*3M67~ZUTC`9e-+5&0N5fr2G zLAe!bk>?6wTbLTV_>n=o;>=21Qt(-d#Am+&m@rB31G{w4p)Yt&AVi9Y{Sc<^n<2j| zH&bUcF*9buIVkX_HpR8hGzwR$$5-L=cSGBcoS3s0^rsJ!UFj~1Os&*&5zDN4QNMvU zVMxdADK4rLc+LWISxx(En-}(|8{#f=v@I#~4ePn$Jx#)0OA;Xjf@yEl%i3 zr*i9HBM&NFONDrTjeTrAtv)owfGTgm3@xg5NIR#B1H(SG?U43jpWw;1$kUJKlaSC z%D)PW-$B|0`*+tIp3|?O^=*YdZ_5k|XYyr{QWYwlpbw%TG5C3|3PV8t8Ji0|w0hPG zUhQDf2Ew`yv5~A-y>%3>-I|p-yR3j+={zD^RP2U4{Ft+m11J)%ST6tme1QT_5{v|i z1WIrPzH&mPcQT=~@kcnyD?BMLor|tgqpVCAYM`=`=B60^^I)2`z1QK{?R)t6$JtAa z0=!?02&lzgMsZ{PLNq9L`e%WC(>-{@^#U_Qvy+H7In@^n^Ii5&e7_4N{60sdVz~`d z)X%H!iW>Omb+`&X;p1bgivILlysdqvLlD}k`pYo-0gMW8}=nXld z9c$mg8Jh$VDYLkBw%wLy-nr_da~i_IEA@;A}a1>0h>kIh=j zw!goxZC@F8=d!1T%bQ6(39%pzQBL$FYEqm}JHB1}Z%La8cJGft*Zru!4aYw_<`cyS z_dhQ>?5@~NU4!C3g<=jQ?|t=A`|Z<0qvb`(fvhEE;2a>8JVw-rU!2So~! zuoQQ6aKW=|uvDv}Yv(iX=c}@7+J$@GSsaO#9w__{?#rF9y(ze#h8Hef47hzd(Att{ z_SIze{@?>7_jUP2+!9m!$7heTW111&6)PTYJ+1no(Yb-KbSxix=lNZz@^IN3!d^Nl z@;ad22MJR-XO{xPpn`XrJ45+@1zv;#W+%tR?XzFo6OnaH^^mkjv%{A9`tMqxvA_4)fi>mG4vs$cg#w8$bJnzF@gb_GVdz@O@ zbs>jc#_tOA9d)0*Xok)zEcqBCdAa(P)*lp<e9Vx3wPep zyQ2wumrlE7ZEd}^drP#5h1ZU6Yhn-U6}9@`OMNF~?}WKrbbM$2_RhzU;Nxvd@fN;T zbakffhQk!NK`O@(>JaTec=V8FQB>}my*Cs$OQEU*PTyiz%^GbsozHGmYnbeB-$`}3 zNGEQ<{h8(wI8J`-aL8bjk3(LIb;;T+?o2~31ziz z>o{fWK*+Z{ZCl*R{Sn-8L+XD&E`R|Ds7a~ZMOqgZ0DtPwf5#h~X_p*5x%yvMn~WQU zGiBN5?-+E)1GdxA>_F+)W6|o;4oI!Vi903zVH?p<_b$wMBB2dB?w^r3 zaH{j+U}w48xf4fh6AWK}D3)s1#%9;kHA7VA^|$0SQarc7UhZi7dp}MYD2Y)`L9cAdLD(|s&<^~v}2^0P6fFV8%^ z{k=BNDklgR^f+}JTekoE2GW@yBP#_s!ifoe2*_rk(@ zDP=J37t}B~mxS(e^3~ek8v2};+a>qV`2{uoJvOT7%wFJ)%fI|gL8)0~C$n}~hMU|a z@|Lr=4eCW90*pp(L08TnLj_w!@l^n092?efb~Gx2w_3NmY?{ac^scPx*u}j=SSH6WXsrW`6o#wcLXQ(ocK;KU77xce0 zCr($fulm+*^p)qcSAIb!EzN>Lm)LBUe-B0TcClviwQXa-ww<{M#|^QZA{(nJ#u?mWB3Y`8oR)N} zez;}KPq(QKzg~Ex*|apY*2TV&hb!XKRZVpuH(VO?tsYdO#bo^WVc5QFep^QAZB%DNW!e6Y(Uy~jK&xPYXP3W^r{z{ z?-bG#*iKXQ63;QE;0*9U#RjrSpCs-Ka#&Mhq@bi4nsZxs#48Bh2!BjZM0zO`g~i&? zC2649nTdr9Bj<%Vkg5EN^!kD!B+B^%bisvU^TaEQ62Oo7s8TC&1DU~;_{qs%&`&gN z9YGxt=e{6b91)8YWFUsx4F3B%u-=k<`io$4DdI51l`Nru&JR?bahhUW7ELP5b&YoA zB;0Q0+tLBQ(f|G=wYXR9x!?Mkzb~q`(O6tsTOXGi0`t-2TWQ>mZTSc zy}NGKgRCQFqe%EWkX69H$Ij_=M5*WK`8sEV1yc)5&1IvR$<1-y4#JsM9wU5;pw&(O z%C2-{k4MVTePfU>Az<%F(tKZ4)tM5!D=2Mh)HKFiK)HI{{wKy&&MU{fhdjs8gh&DK z#F^q)%ClJ^Y970-CHK0Av;)x_dokDyM07FoI%q}LcNM5mq+~Mauuv)Bj%ZyILOs`+ zo6`vrA++d^WUdEgeYSDj>Z9=SpQU8HQ0A*Zu*R*yv1^ z1zx8211zor){sI~os10H@PxsJRgC5AO>VigvmE$ZiXGWG){q6GYVh)g6iyPEd~rwq$3JY$sk1x#1?#; z?3wySVc1YR_|0Z@oMzjl0ACmZp3TA-v8&{)JJ8;SNaKOmDGMI%NhKh@LSCvCF z5r~g;#CK%~td(%N-JN!1G)^=@D*WBG>{Q2^;5Q;|5=8Q$l)6QbdO6L^I9|IYq-fY51RJLxC<|HVTeZ;_FB^6; z-)J+GkppYi`v{nhkM38 z-lwcyprD4@S9y9bGIibN(YtfRf0+8Ws?Z;|@n76}AIkJP80uhTUwu)c&)uzGLmnIV zZw1fhRawKxwu7s0HloWW-*UT~LLJ5@E%PU6VuIgto_1WT#eC~GSXM25d8L6*j$r@C z&@s!WinT$HSJZ{5essJ*wXkcZ4U}yPb2u%dz;VI6rm6bc^P1z8fyX-w1TChjLs8|q z6`Brh56?T&&qq3IeG7HiK>yEPUVk|?YbI8uS%8@-z6(8HbG;eW znPAsi@mGHS1ws7X@#SY7?v*JYtoJIfNigp`P{K*2#>02Qb~dkFif8;qlm8{1J($u- zHry~hq_^kk@WfL^X42NkAhB`#Cb+(Q*W6lngSQWT%rBPh&Ni#FbaFmCuApWLIWVFyHH zB>Rt_Z!3npcWL(hFgw-Q99r|a<_qk?x3-HV?#YAtb{f#BzkTL5T%`={OM3L}dIIm# zW{X{+Uz3;KTpxekYQAOKT|LYMVF*jyFlQL~m)6rO5`C|*&$W(@JC^PKTbZOaYKL>YMpt#GAOi+AwM%b zyv_VdIgfEZ&HNTWbs8qAc}QmPno&?h+HT@dZXNvf7jrWwkf| z*-YorqL3kK|0s@r`f*p_{qj(7`QTeim0P~oNzCjv6=&Sj5-3p-e2Xf#kM_`R@_f?U zyH9hyw*S*Hcly*m{Tq9Z#1nJ>()rSo=A;VPrva}A1?Baa`Q;}XbBrr@gdO>Y-*(k8 zYTYSf^=z9aidY?d)}^C$BsfCz(pb`*LZ)h!@8vDN?usww_|&%?$nG#_w{%8uU-3 zL`s36e2Z!BZW3;va8_b=SYq~IFmehs@-Gv@j#tEJ`uax2d6NPNeAhr!;M@kv>fJY{ zEvy0)!l`jp6_a%A4e?H>^Hf~X76sGHcP=T$KaW2}D?i9w`NTVJ)@fvq*NCQwPvM?P zk^qlzdq{~pkRkJ5KzkVvjS#irWf-O=+u+A)E`=MPWAk7zzokRW{{ESw_T(or>VfhE zPwy9W+Jvd_9J>o06RL-FfmQWE!6vMRtVl)}@mVKR(?<6r?`B~zEl=c{-8$`)at$)y z9!IhBpAA$mAM29=$5&}yZiu?+y+~ERB*i_Bjs8G^Rw}w*ea8tba#C<%WZf?UZUkJD zfQW$O&O|}h%4reXtWY#`7mAnG&TR6+oq-|7#6~UbNp3`^A#@EC#+45+7KN%afY3<$ zF_{_Nrvo`mD{dW9)u*pfWwL8Yjew2=M|eu9B>pl+uAFVUhF+?ZD9nJ2Yyx8M2rV@l zKU71JnX@Bs>N0Bv(-69vW7>kT3V~x&G+h|pL9s*W1lUpEQp49`bLF6H5eT5-SH9}E zS|g4pw6Ig#2N~f9aV(Aw40W~gFcK0jGc8=SDn_@_5}{ST!nzUAB8Yh)bR^3hqo7_m zCh@3l!#Lw!C#FHw`b^QPIIf zc&_urU|*=ZYi>{41zYQM^e}r%b_m!h3=D4d=(mqbE`s!0cBI`%NcA8Ds{t zE`zOtLNIE-v3XE+X?3nZx5!B{Nede;;&el8FK`dYl^9@BE9U_vvdgp<4aR1bT#it+ zLW?xNFpxSMfiD-c@p~b?Ie83NkXfPT5rch6FF|~tQn1W+L+U)2C~iaRK(Cn{(tc2c zFC+P?Lk~mSBIR|calC-a+93y^)wxZu6Mt_vsZ8b&v&dcB6>{?S-H>&$)fP=8=BJ($ z!aP8Zeowv%L)Z2)+NdPD2&&MsT;b-_VxG=rV#%Berskte+Zp971#IB>as^Khf$d8F zaG3w!k)6<>htp9@nch87rxKYka~E=?Ry@_hB8}yXQ&c5r19YLi1lydR+Q>k?1g0S0$W#yT^w^aG_qJ;4f;9P+8wqWX@B_^yNT*EuWzMCixe%nO}|o823$noYYGxsZ2Dt4R;@{!pUMm@sa>t79ZeLA;g>|rIR6)*}k7MD1txaJsSbZJY@)EGH`(h?4{P4 z_*mR@boDh+U}}4cE(ApUiy^RgT8I9Z#;fuHymlEMd`q=y#r42+8dytu!yuMF>|`QV zTVAI<7XQ7ZnG(BgzCYccS;x?!caC7WiY(IX%_s`C{i;}mnkQG$(Ey9W&9yy&*= z9+3h9!e}#t?$5*X+R4Prz8bf?5BP3-u_fK&{HgAvvsxqRQaNBPu55g!mS$X>kjc|< zPc-XycB>${K0C8$R|4)fjT%Ioq#1AQ8J;muTEJ3Dot@$6CR#=!9{ z#kK$@Whkc;tgtRgYQSK%W4r$NzN_@z`5|-vp1-vksY3WSI4 zd0p81|LYvz3X(mt=>I5Nl@IU!G*;`hp1yIx!?tD=?>Zc*2HnC5`O6i50@`a;G$wQX zi>%Ve&swhyyH5Ll)jsixf=trDCsNQG1|GkAvo5{|-nl68O*3H)=WSkw$5RGe%~3`y{=Gep zPy$$POkvy$fv@@$D}C;q5UHrUV2n#2o0?&}_5VY`-aXXRSzx{MLwWwhxqu;uXM<0c zO{Tf=5f7Q#!^tIaHTcQwZL*4RB9VjN1o=t->a>25zwmGH1ds8f2McbtSv88+@*6`& z2xLZ(o6(njjs$pSJ~j`PJ4q{q{c~(+yRg37&+8Md?z%CUhQzx0E(@+px>I9dx942u z+xis%IbWwY!ET(Mv+s#a zP0yc7?Xw!7-A5RLKw*PvhuRKXOZNh<@~bWF9^;h{37GEA2XDG{V~vw3;{9ZHJK0rk za0|M5TyVriP2!S)H=r_(;)+a-)Pl56?=hb(*f9v3LRaw6o1HkxYoXimn)u0nYiJ z<`bR413FRX-BEiy?6Z)|P%+*SwZ>Y`edT0nu+MBY4_t^uuws0JiM zDw15_t@7-v?Sby~Oh@-CkK)4pLZ=i;>_=GZojW?2tDN%=;tLSmD$w7(=i2G*kdOzt zN@rD}1SI&hJitDYH(g37FZvd>JBG&%#pHoRb#e+-oJ@Qi*#D7ZVKZ9{hv{Grog zr_~%ji>cX8N;bw367xplMi(WWGB~*ZUP7@iX3o@KA4T6A2^_F6E4PY(6S-15yZ9Le z`xmqdcu&ms>MCq{5Jc&eM3&_kbPFPP22&t2jCOFRc+BiR2*_JPL`tg7j)G4 zKx&tA7ANSh#IN#a1N)ri`t0liZ~!DztfzQ@DyGMt_)dbSqOs>eEAXh4)$YM)#NR|DpgYw}z)N zD(QEfumlWgfGxKVvU7(L4f=!@3`HDJTk7!Q{$h}f2LjFY-X8!rLdBiim(pv|L!ty@ z7SVnqzL5OXEYsh+8Sgs7{z2ZJ39Yiav`K@u+sIPFLw_I@wiv=zL0%1`#5^)hsDzXL zp;#O_&rN5HNz=&qJgO8>(!*lmJ&U;GXW~|gmw&9PbCUVOjr7?NgSoiKgnhYYqB^$_ zhJAtPi%ncqMgqAt^S_ii%|Lc17(1rYQ(h43R4ddq3awXvN@*p*iF#S zSZd(p%jU?wdX55t1)CnU?;T2}2PXVo^7qTp@N(Z2+d7$K9brv`p8WMO^bif-d8`iK z9iUgJ=5XQkt%kiiQCb6Zmyy&NA-WB!P`||wIL*J*neXC^e51NvOd@1JnK`7z53^*M zLL$PSA^5_r#+;nYhFE?PSX@20_NzQPW&F90R)r808al)?Uf?w>kcthV2O2$wS4RMI9**8K*Gmyfpm+xS~1gXN11a}s~5E&4xUqZjexv? zUrdK=j=Y`T%&0sLJJG->FBdt1WI`{jG4yLSuWXjfuOY96JR(09Gpd&0v@VbZb%}aJ zS-x6?LM!jp_H&;zVg9CCxUYa__!}GpudQV&enE1*d8M1LW-Ob0W|-l_0u_#Nt$i-V z&PAqzn>O5qqO*%f1I<``1yGcNj?1)Oqdm@*i_L#QJE8`C;qID04@ZyjE%L;jqk82c zLzt~PJG+|Z>w%EY&`XlQq@R%y07Yk5QSfb(#ngcp?G&?r{_xPvFBIVyICHM>f&2VQ z&%F>q3#InesRI=h%Zqar^`zW})~6lUslJS-6~TD*QgRiKVg#F&YA@3_rx|}oPk0>W z)BL-ZC@XJ_Eq=cVsu! zk(D$U_zg7n&cMeJ-GzH>4&tTbMHUS2&_x8OLJozE-)XG1g1`y_3_ z&?=R=PYS?zU5w3eF(QtER7Jg@6$-}AH_VUts;x$5TKaCd7*+8?_bI(J(3t&*KL?n$ z7BzjlC?30<9~TAkA_FM4^A_j}38iS*juD6*!pl!AagU&p@tV%KSM zYRga03-J0GdSWlMV#RWeEKJ+#EDxAyiV{5$t?C3vTko{t#`tT$AQ&K9W^F*tX9^`? zvJl^W!|jISE>g16sdbX>n6!%B4LuoU_SoV0`EkL|gpnP*{wh$RHc(0xIq0HSoA~vk zdS{4zz^DIw^Y*g!eJ^>J;r#4Z$}g>3hre)o73~z$v_G#ErM0`Z-0akwOyy41PPH1s z45K=p1nK6Rz9vnioVsTEO0R1tbYsfQkY=mbV;JSl7=#x)J~!rNMGB!mN~FF|4itA> zRSVkXJQ~Aed6SF-)P+caEV!X-D4P{#TO8~(Q!M8l@8)Nd+VMd{fN3`VG_Wj#4YE5DB`4%`ZPBVXG@ zkEeq{idPJ~OVptx_kd%AO57T*)x&l&5>Ha?JC!cLz>3H}{BG7{&%0uZ7Ph|_C8JdW zW2#4Nu~mon@wQ|suB{)NkpN~QTmQO7{!Fj?ZqM=e3uY`fKe*kp+PGc+kD;x}su`Yb z6*^v8x{3F2+9f+{liK}Ey=_G;QI6qO5Y2BEZu+uA0!X0t<9gNCmQM``CmDc2iFhVN zn}-_p5K-i$oCp^_H-~f*I?i^IMo$o}emXNQUja_&m)uNVIhokhKL8y6%w_*ZofzG; zVh|kau1{hQqyp4GXtXVR)iv_A24ouI8#yMbqS1LV+b8-JMFZ5_T0x7xL8@{E-9Gb~ z+N(#`fd9>{^-VFqIkH!-2av7{19-exf#HM0U^ldT>l@v&U4gID^EyQ+9TCS^1Xg1t z&a*C_Q;*MV3?8$n^;xDMV)#zJng)$7#lhyFoD~O)Rn^eUwY?RH2$~VQTdxcx;6Pq| ztwI?`I-!if?`IwOMA@j_-J1jHl@v!TP1VZ3;7Wjh^179pdv!3y4#RssqB8$&=O5k`g0{k&WN9N<1vJ-G6@rw>g0<%)Z%36 zfOS^Gr4!g6*yL=c=4I`wtLh>! zD#C+$=Ob^Jvg+Qo0}>jS1Oz?54n?!Sw^ItFe_$$|P62%PKPZ>^@Zh0Q z6#XhJm2nvrH=0@ptMj%_*k5ht!>f*y59;w{GfV_zL_zLlY-=$uTJsTU=fXEKlMWH! zSsw(%yrKw%w-O_}V$4T?uk1R+E$Wp#G$F2ctt$BoZQv~nXAWWG^bbnfGH7Ugk=geTZ$GkNJT#= zMw*HCj52`=T#MjH(H)6FfL*`ufUd%M2R-U;c&67)I-`g8(Q-`!;Zk^<|D9%k;6szf zE6BtK0+ALh@!>ou%Rn#U}1WC2VqT&~X zvFN|ge+G7CA@T+7D-1H}HYs+|1Hwh1g7!tYuD~EF#uC#(8WCZh-G@HIV@W}n_p}~| zJ=u?S0XmcEVKs-bC}#so3Xv(seS~dVkH5FBFg7}Uk{YdOxPp;V4Di!WA$9fB>2cV3 z6{$(8$WtT0lS?VhVO}F79OIz^aCx5~R|N1)Z8=Mz0R0QniT8!nN4!$aEgj43ONQS> z_h%-zXg#)q!Y0A@I+2%^LiR)EL1XF>|BcWo<@o$4@*lD*Os!8ZNXe;;A5Jq2H!4f@ zNxCxuX4TtPfb*@=;R|%j;GgoM32yceO;Q|v^4Du zADGO{>qdwx{=}D8eSj}OI3_fzN>g0!8F5e#ebm#lCmI+ z@Xt7K8YK%eQ4#N8)(_D3N#@p@wmqvnHuTI5K9wy!N6}vmYG>+KR8kBZSHydc*a<`O z(w3xIb6Bq#j$aadB5~GtxpxPA#qAY4c2d|m%Pb(cIW`Hx6@mcaLU5SnM4H7yP^y4q z>O2Yq64##*EbA4-eD_Tjb_~#6(VZsKJbAg*FqVt;1Jj>~!abv!BFg}{csU3AY(zJr z$Re_1gyuf0=dOy1z6M=PP@CQYv5Poxa(UTw>=ZqzSG{jP%jC~Up3*;SSFq|;*yL2_ zp`SiJy;^#l+WC$tDq~iRVWS!I(B4tKSEW2mJ807Z;J5`aVlSCn2-0^*+%yn13C27+ z$jzyHo(IA8*H~8KEF$`uZ@U9E)olr)VjjPGx2xih7j-QlmTvSKJG$$9Zt&#ob^8*>y!d3}IE{CN?E7 z;UPUkjXWo|lbG$7)C=F2F1gB6)xRKN^_FA-;M2ZGMA7b*v-;>{HM~wQTy?1Ai-zU9 zX}-lL!py8=iqm`O&*v_igJ4I9+s5ab-;BbFdBr4GfEaTO<*hd-K1P!LRaVr(3FeBR zM5?n;6-m%f^YT`U-cEp9A?C!3GUP{?`5Uh+TGYZ+^IpGVAuSMh^7exb#7K?>Epj$~5PJLd<}uy+de7F^dWZVpTx)J6 z+!uc5PTpujU6z5u$gJFn_mfqy7lP}rj2JC!fueJ*xNKvW$Q+v#;y;v~9Vd{=7t`UJ zeLyfYD7wEAQDq1%@^L2%pLe$Gpd=blDSS9JMatA_3lOsBbO)0e!>ynZagt1gz>L~k zw#*(wtsd3DT~&N(6)-A+a~)&z-({=i<9tjDyQ;Py?+qYasR&soJdj)dlQ^zP)`r~c z+anx=9qm{)NO!$xK^pm;J)Sv(FzOUdBrJA-^F}ueo)gi0AsVEcMn-wU-{44nobv-c zaF0<`<)ZN!V%YHGc3ZCq=sy$0fz6BXFFRy5A(ptw79VmE_H-tS^>LOv;MoMz?L)CItj`STpny=RB3{Fev7Y3AqShF5x;0f17!Lm zl&yO;+!yYj&7DT5tNg?~O^R{qf*Dp8IFGCA7$t$=an_399n>WRT5h9^m+(W>gvz;C z(}x)#tCSfeGD7>`QwJM&#%e}aQknBhJouzi16tM)B7FdE?h5#CSktG%E$p!$ZXdHb z3#RxX*-C(E89?tar(S39rLn(BLAWD_>hI7Bs9Ga(#ZVHmd1NjGI`{7jOs@PvUb}N{ zCh7Y8IAzt`Ot3c8`z2_o#jKHxgW*)gSAZHAsj6a55Nq&2 zAIJ}Z9lth|h7>f=eoPey#*&dhYlgMEhMF6tL@f`TDju1iNQnnf%umqebEg7S25b>N zRTiV30p)mG2d%Ss4i)n!%6~x@Cfn^oV1~`4iG?OGt9ndLq45CZ>Ds&N<~B~ltSgT7 zqlq!NLH<^V*Sb0HwVrK)YKL1t0RiUfg2s-CpgucEe>!i)gu1H$p{~6}6opNsouOZ+ zFR{TSwaDh&m-YbFg{ad6c9rYmY@!TC(D5=d`rx)DagAw;Ru4?f!!>_|22&gLVVL#^ z`~GsiDw?35vB4-b@7<71hnIq4MIX^w?7;b5d*MJ|*LL!@2Ysy3cmT(--U{eRwf4bs(=Wu;onFMBQu^tPM5I`#fjjOmQ|?j z@mbz6ig#M*To}MnqP%1Qsxr#D&dKWO_E=txv*@=juOneZ$b2@N)-=8Ak+$Nc{m8zuQ)z&8*A!52Hr=< z-HQb`yZiI`e4a(!U_`wU$D-VOvE7ZSHQ)8ao3AQTnKi2zet;MpE4@j~^W5m+94KN( zawqKXLcZT$?2%w5mw*+6_MP?v@_W%?nySUyU;x}+@ru$^#sTg_bUbV7yXEcW6)M1L@5A;VsCS%~GcJ0Bqup0WSP*+?< zfHbPF87-WrBjXkJY?e<_R0!>1g#tj$aoaP8XOU%njv&|U8k=9IoAz4YYTC|}cyBvr6(lxFO z=14K0$>vE4VVtx9v^ipEd}HjL$vVgVO&GrDHRaD;v0*NOzn~{Zst0r6VxE6#Y&->8 z7usLIb<2)gX!=0Jl2~Wb=SQ@mbD80t11}|i)9nUzbi}wq#Kay$NMVofeu9}r>h(DZ z`g8ls_d>31sn_5%Kl1cbg|eRg?*EZHCb7yQDQ8}$)Wgnme`@ZBc5}n$6XO)Gz%{WJ zI_4MN1H(Nq=J+(zzfR6-Q>^oY-_7_(Mb1p)eUbtVp`hrQjo=>{68waoZZt+yg0r&j z>ob-`?Jww*fIlbZKimmPFtHZd^p8;e)B-wpb}nItZEU3gdYHv#jfMNoIl;9)Lv>S} zYpr;J$Tv=gci_%o@_73pcw ztHY~eHAlXOY}3LA>Td|2(;ei(KI{ar^z!H>7_jV??fT5z45LoA!KSF1Ho?>kUc#M3 z2yr{09Myr3`Uey@=ss<}5gCUjxEbRa{+E5>4$9d?(ClFNImEenX)pZFsqqovbb`DI zFXQ(1s?}*X#>fI|KT+)kGaPUvzNe;Jf`HKQXz9(0N3kP*du5pMgis~93YcBBIG<;xfFdH!mwzA#iY|sWX`{kMugN!#HS_( zKjfJ{7vvH&k;#oHk`t%W7BGT_CSXyT(F0ZB_WO@w^hN}h9rD4?Ww;ZN#@+$8q84z) z-w&200px5wnz0u`D8(XyG;DGPB)JSifFwnC*7N@t@=9+YA)~2Mc0an(d2t5BN=>D$ z>@Y5`e-d1K5=caeWZ)fcw-7pZ zrj_JL6na(*3g7|~#7yvLe_EmGk)ZlG3eL>rdnCWy{w~pL+2V+jbQSE9zIfi6Vn2;h zxwD8rBvwlltxl=4qIn2h4miMPIy#j3&qHH*SNc*=q__nQ7HSn8;pD$(sFSH>H(V|Rp)Ov-7~XM^H;YcbGBudF$T1f#-jwtT8?6p#7f*eCO3ooCvQL4y$V#bcnXQ zUP9gOzQky60AJ?Kdw0%Nq5loStu!)>bqPS_;{1*uHQJK8B)H$2s|R|j=iW`Hh;jZI9V zRzs7P$Hr}`$&INB9Dqs2rT5@nwV}UeUYAgy2x6fvV^`A3iA3<5)we&omrLdj8hhzD zZ=P_B?#rFF(S>YZ-Em!IcGk3w9QT}qALYTf#{CU1?Grkksgx?+l>E4m%b@tcv zlqAAiI2a}7Bt%$6{qNL;L=n0d`~fBW{X71;tF`1`qih*|6{eANQXMFaca=L0E*s^s zW}5{j4Zk2Hfy3Ghtq~XuF!)mhO~b5uV{)UNotD_tlSjw2wrN9zKMz`VLpP+iV?{X1(wV3yZ2+Qy4g%ZMB}1;D};|sE^84*iUk` zVFoMHJK7eCm8}y*Cj}cA{To%n(J<$^c(7`g3urvXhEVpSRZ~{j=X4eUuS4d#KcYBR zEpMGs`8dlN?+CkF#-NSMD)aCd$&Y33>$NNS(KcgYHu-Vs)YA zwNa=vmj!1zoxvZbz>8;zMHuOtaiwPD5(CJiEB2|nZ;cOtg?Yqt`u?w~FAr<#Oy7Q! zAi<5ej!+1}VvE{VL^`sD6YW%NYYBC!U8upL#px&zP?kV)f>dcO5-6?}l2}`VwiT_8 zfQSLH1jQ0Mp^eItV88=JmXHKUNRHnV?EJ3z{`8^^oRjx`mixKy`@u9)(KV#)7;_wL zXbR0FiYCMTYV1H#IPO1z!GY1HxbSa{E;17~@EcCXO`u)4${*l(ZoKVu-VZJl^CfXP5)oZ{ zR6g6EomOqVH)WEZf`txu{MRH$HpRrsVt=9&me%OFnV}ix>@~f)<#lY;)K-co)!B6? zho&0j>n;FW?5)@Cx+N9Pi!syePKXJbYHK8^0Pvfp&Lxvjo7-vLtE(DswiI`o$u?t& z#l?3!6;L^e%Uq4sth1xPE&2zmXM1t}KwhaVr7-|(F&8Q;k_8JwY-x0!C@0BX?Bi6Q zbs}}2PBSW>>2?0sfexTWMag)M%;I{F@1>k@)%h&v8rTy9SWVg85=~K=q-TUPyTqKU zC?!Qo*g_hgrv*bfn^jI*Dwii4L6vH_6e#v_{&n`t$I zB1N`e$e$z>+DBs46PzzQk2!gjFt08-v(lhdq^o;cgNG&o0NS21QY75sAVyj7amc42 zs6Ozbl%YWftd5Odi;$xD;|k2^Gj;2Cu-syOo!E!GPp(jn!6j*S2)`A-P~SHh^-Tkgs^xU)tA;p^l%oZ z=WC;R!vzPTrM)B*`x}a9o@&9>++0Wo=b^^v=@xtE_v0%O|J5_2jo_oCCLA|rp|qj* zTeYIl+=eezmCFiqh>k+=C4Tg4!>cp(bJ9d*`A&~vupP@us;W$B6*FHv>jtKODp!bM z>L4O+>YW1%Nr)Qw*2uG*1-sj*^>^#=D*F!c^=G6r1au8`|j7kLkoR3%1mmnr-I~f$wbncCYSq4I)o16J}fWusS-X z_SN}soX+|(^gVS7zVGJLuHz{C!S<3T0!fXevWt*4GOyH#y(&cHuQTVFXPrbFJ5z7= z6|q-y)V@2#e&X+Q#GiD3mO;>s60W8*aSpnFC1L2AcLYIWy;n$P*`>=VWd$~0Y;dVC0U^(FbkgiC9MA))(y(MH&-+ycH~I~VEH&C7D~G0GwNxd z7r#fE_R_tq1ZMZdfmQoUPkLdD(eZ)W<^?=K+9%f+78=+RmV|B>d?sGDrLVj{PBwn8 z(3#e0daAe#jdz;Ob~pMi2)clbF}8=Y)=@}X)%fx{L$<{~X<1^K$?~+`^Ufxdm-X_ta`sqZ~u{(0{~khO8YQ$Zk3KPh;6^#(-HI z9#_1kp0Pz`B@47L%$B{}$(L<1+XRVK+$QnD^m%s{eidP7xDxGql0U@rQ2FcwP;^rt z*v*y^4)tpCU7CZ$rj}38e?UR^JHp6m+ye&cIFn0Hnbpwa|cMQOd|T z*1`y;_|y7EN@sg&s>zxLq6FnY_OuD(;IDti8adXp89I?mi3au{1e|FAvNarL%j zyqOhylO?*<3$u28)8Bov!vkoSgq|~dtwRGv%PII5#KgxDNl(IkT(S zsr1v*EQb(!ghBa>66Wo(v}AtOX`#E>j7o@Wzx-xSUcyyvdJomi**azU&SRc^6-4 zU+%Xf+<%Te6G%ivzU&mG8av4|KN2s#&A)QQp5eGPjMD}*tku+4!trA>`oj%MKpU_M zF!#A}(IBl0AIyTp%nCO;1%d<#VS6lI(nt0KP~1=9zpQ?2>^ngEow>1p!kN=XT~j(H zhV{8QZbd?FfHKi$;&`0deu2hZ!`B*REm%47*4x!Lhj&`WctVu?3miup_A5ys4Z+PHY{urk{9S&Bc`4qQ}iTZ@`@DC zNNn(?JDedl(Fd=iKLh^hfR`8<7F8CbNyeR@)FuHIeRS|Eaj+y*`-B|1GEVsE1mb|( zcE&yNl7KNInG;7_E#fAm+eF7GFH%)4k21*os;x3*^SJyxE=cGTlzn*e z5A5%9`bAc-`_qMO`&)&SDEnv(9)Fn@y0EQuvW+UHCY*GvW1XehrR)Z|+nkZILSc?5 zpBY&SHSf&O6-L#`A~t^3!Mz@F8Tm{qzsB}Ehoxegg@VtAZY;^0z~gZ`QOgW((xnK{ zrd)OLKkBrTc-%QNwjS2up{wO3hu+gh;d#WE8VF9CJszbW`tM}p!FH~{NiEc%p z_aknCkil)1wUlxe$bCajyuT)STkPA6&B%+UQ0|CMkh{$~m+|=H%1vgiCj73SERXa@ zs(()eFMVt3iv;J|34>Mcz9RXwdZu%U9UN~_RT_Wg<|UwYpbC)S6nqRak9 zNKf%9K%0>{_vn%BDX=dh<-z{DLmK7h$lZFI`hDVky0em#)nN4oa_hp3oFJP6djEdP zhnLf`icN*&Q&Ct4IBOk2RPoWmn9>I))yWt`^$e|#bFY}&U?_^gn+= z&RVMO%YPtX-7$0AqZ*s;+#Ti+4u(O^gr%{2=XLFtV6O=OlmOv6SjJcH1rPd*&5KX3 z{we!WaIJD(nXJVG>zy)^R@{7DSIc^8==fr2(r+?M?(r3^()cR^g~3A)!wDv5$U2y9 z&lmwrQMPtdH5S+v)|{f?WLeZWXAfn|Kb`HTUlI+POD*=q^PWQ35Ax#0!m$m*rK6-af;8_=4Kc+dK7cR1b6e;J{Xh;mrm4JiMW+6+yVwn`JG;x%4xZAVAHNWHnw zI^bN5n{@Fo+K!vKl=IS=VR1OdiD;vph7rUKnQJE>50`HV(9XEL}Qw*F2XkfU^sOaW^VW+UP-8#b?<7x1CuL$BD*g`+vU@>O)Jst&y~ zzi`EzLXX6<1?wi7>!Zs=b$e)_IH&ZoJ$kWj|NNrUYRE&(kbW=99ZJ~=FXM4A!ffQG=dh^X9RcTW2jMX4l5 z<-P_tJz+vgRq<1^(9VQ96{`z_)P4;)=APg`%PDKv8(>uS z!`Erbr4t6&xYD81fkpQhi9d$f4`Sa!iff}eu>nQ*xZUE2CPX!I$|-kSwx68vQk@?T z8F_|;xCfQ!d#{sL(kaX-5(1ZhH@%A^{Nl7j4O&9!X?OA5i;rV;>YY-h-7}R@$>lvp zpAR?sBE}n#Y#j7TUcy$&#hBA&h5Xj6q3Hm*hA7e6$aAcC)_=tF*V&427SHU=hSu?= zuSaLHWPN$9VNcnBC(W2;Nx)AUCTbj5ltVrf`ixXaF4do$vfY4+?&rb-&PXDvjdoS3 zi%PU-!V7r}-KpPiDw~CMzYTH0$X-(dZ830n2Eq6JUPKXlQuV|G4AGZUmQ2E=ol^tD zS7ErLhPc449_EjUSG9F6Koh`bt28^Vn$gP}+NT~eH!y6p2cF#XGf>dp>1qhAKWYmw z>80I@>%e0^ftDlpH=d$u+dhh}z$TAS;67hD7IEgah7r*}jjvP!}o95|G3)7EFy+_f~T2SXf^ zfc&O5_rDb$=#KtQ?A7HlVz+`n6XPahr`F5^P$Z+6v+TS1*Cf`X(l9;HfF-+OXPWc( zdWTYNb1bKBSY~yDRqAH@w1iLQXkzKT;-+RB$h-CS{fMJ+zYBiLp@KFj$1#PiSw15?erJJtqQ;jGni0O1b$&S| zPqb@Ged}8R=)goh(FtjuB^IoKifcOZT~zh9W;xmEz-KgqZNjny>PBNxr}Wk_r1zMT zmktE7+LA_Dkk6GXw)qsT14qXBvVFS4!5q)^p`@RZ=X#BDx}$L<+>!W-ouz>CF`&8h z>{f&CWtN7e9)!m5^6GQPb};jr@v|c%65xpV9!@z0cxSrw)?@=z(Rs3Cl(g+VOMTRSpm`JdZC&@sEd#(o7!!t9=szn{&OIvUXlwDlp4pF&^w(qsVD}?9cC2du{k2p+md2G|#~D*M3uZIbZzwsg9BeB$5e zCA4CdXz&X=v`!G0c^xGj_pX{b%y)$M53UsogDvXwX|S(E?;K+ckA{1z73~7P)fXIY z(eitSsKToEq|+i(>Z0pir@So&>_qxx;S>dSVbKfcPpRvMhBq+IhpSw*-S^gBmKmY} z3`1sZEs_`2tz%`5h(2*fwo!kQt%_1NrYK^uAY)sc+Xqs$u7=es zX&)zMRG@~|=y-c}KGrPL00uUfcLP%k5dD*fP(JiE%ldnz=N}v)5z;;yADnp0^|M614&& zUPrCiErXf7s3bH;>u0fxS_M+9g2Vy)>)~`sXA-i3NoR!N`UjM+Ct_@nrtj>FlBl7k z5BHw+z&eOUG5X+c`Y!rzm~v3^xIr~3`q>Kf-Id)nE_u|)4(D>p+Wa;N;oNQ`VF3ZF z*s~E%bCA}{nfV$DTfVDvBbds`Dib?29c87Q8OW#Texgpv+msllR^Eziqexck=Y26A zNFR{kjrP^lokADo71GyLJJjBMw6c%J`sW&aQ;DTfz%Oj0s3uO5Qy-zN`+lz5cvRW3 zRBbGDZk+IXET*045xZqHv(z#!58AKlPl)sM9kO`8dRHginO9b#(RSi808SQ3PL_1k zq1Vs~datbjA`dj(Gtl2NJr!dHdk_d*&1hqN(yTQ6MmT1$i?SD?{~+OyQ|(r~Sd`@L z;EV&qoAZH!@|IDYmOjuf({!X##Q}z?A-l-xhfr#w_>_SZ;9f>)E&eJQfUTz4 zY@(eiW(=#BKLF(i_uhwCfwqblkDD-v(4kd#Roq74=k_!wM}mo$_o*Sh2+rPP{A5pk zCxxeo<-@}PkoZ`5rBDQ_vUusubZ7@EIkT&)md%6oodg8GZTc?|P7iD;zsI9JsSjlBsCIBQ;gRCS zc{9cxr=w^M(FTP}ay>UZrQ7jCX7)~s?TWFgbfnC6EE{j@N7ozZ`5I929cE<>PqgCk zG@Il+tko^>tpf9EnTh-W>@H8!qa>xnW8rqbqi!;+1-(8mEU|XtbiIX17PJcicKA$R zd=6-L*fBh4fa4y$Yp+Rbo=_({M4#-TOqXBOE9~q*2gxJaV2 zObN}!TPb&sJ~U@xPx(fzBIS({*<*Bk*`cj7cbXscj&xP!|Ni!PKi1L9FiW+Omk>=7=TXB6rG`xR=Fd> z0KAa$mI;nQhbfRS9B}fNpN^-%?wCHf7{5>xq`CJE3U4FnYFXwNe4^m@ch?E4Eo5B< z<@7VOyMl7>r@EOKm%NffNG`>;xwYV_xNbjm5f!OhpP|2r1|F}D+-0_dm?98<)BYXM zH^qXT7f8}~c`DT`!bQ~IJ}fbJi<#9HmD&m1?8Hj$z!9|5Gx!AZgGN)fTy4_>BPitt z4q0T=<%gw(0-35qs^jgrhV0NqhN04acWy7HhU($_8Qx*eC)tKVsGu;|A4jq#8L;Sb zw>qHG?A#Dtjs1Y$%(oqIA%fJ;`eMTeG*S!tvAppKHlg}Anp=}GgbbQ1L#58t7|l5p z+zcpIE+i#5-3wN{KgjWdw^)Qli9TF}^1eQxxBDr@w;>emkljJknZu{1&OM~4&KV6U zT4k0~yqw(+jUCEBiO~k-a!5F3%|<8I2qg7-`HW_Vjm0$r7XmFQH0z?$NA9|`n0wG} zeNv$%S{W-Q>0@%Y=eaX;G)W1mvT}e!F}T|IP~Uyzsxwo<2(rcjTcvp3_F*c&uB|)E%KOiolB*vG1Ze=Q7e(W6cB>3wh=%&<836p4X8EKC;)7K`zgoKs(f|Fr&d;|eDEzoF;@Qw-9u|I zUqdBs0$SP&i1nkV!-)r(?QPWE!We=>U9I0;YiK7iLQ^B3;TGHwB^&V*eF2rD`uZNq z#@W#2AE4Q)tXRt)>R;r|LQhS@5cKhj%AGkTkV#Z3tKyfV8g>>@25p!fKZ?+W(mmdO zD)tS_0D$G#y23cxwo@tk{X`iK24h~kQD$0X(Yb1SQ9J6@-^w{pujy*bfkX2VT2GIa z+i~eNBwnz_YcZ+sl{8k`RG@b9uetpVJ>HYvZZ66OEomHe>54p^=B!npt19Xg@ouBS znVUJw_|0yhVmb8wqilB6ZF*mEjZw`yX+rG$VBuNxkJ|?C=(EDuu=+p~k?NNCWJIgA zTU_Kbw-*(2xEcxYxRN1V?4hnZ9JumaW+$uD*f5YUOW_y3fW8b)=GyFdslA88%pXz5 zVy%0q?6d0vO6{VZXKW(CU>f@dWJX)APOH7O9HGUAlcc^6i-s$2wLnN=y`lA1;oMDA zaj0hYQA6M~{*p^5Kb6l_Mdk>IqFc(J(d%mtZz=s^V8li%l1aeucok!ret)>tLO|*K zvUuL#I1f^+Wua9fQDRY-FdOp!`?=DMkZznY(2Kv0#?}cNHtkt(f}QCd8W#k%ZARWQ z&rV=Ssw(x-HF0Rw<9Nr#hzmnjmLge@gyN{CEABC_j4Lxs4~my87pw@-I%>#7lidCP zA{5p4I7<6?hIlZz)BH_zEyO~0Tp6X_o;22%mOf&`=TW~=b~*9eVhmJSRLA`v=N<|1 zi#$MPj~h(j%`%J9USdUfh?71Tik6cvvGz|eG0*%9{fxdN$cwtMh5rCQ>_ImzLcyxo za~24eGC0aHeY1qRgV+h&Zu3vLC=NbTW9+DUE+Gb`+DbH!rb$mP za(^pYsw&Y`_P{NL(eB(9JQDy$`OGy8F7X^&`{9jSojri;3b82i`wA+G-*pfThqI=F z1|&^lPkz~4Wv9UrGU81C6=4Etz7?RHUn*@D(1_No|7CaV$HxrAiP~zW#0x-9pW=uT z+w|<_BXoS%oADtB@lN_ES7gVeM=w6Xs_2x?|y z(&wL1-;^3`EW&P!U-)sN)>Bqc#pUe~LSl+GvTlZ`H0RT@2Ju4`lnwuZJ?aq2?Lk${ z<&<9+Ywxc|X6z5*Rr;j}!!4Mgy@UQCF6^DJsR+<&9nht)I37RL=yOZ-f`vnO3Eu=* zj)>~_l}9I<^%i>>4y*6pME=X>tZr4;_TwydNwec!6af)TpXSoltluzHUu9J*==MbI z&nVLEfVxitJ^mglc4kUJP62o_vU1;}(88)MCBUl4*OWB7u($F>j1i|kT&1+V0!seS z=^7{O(2AS$YfB0bHro71=}phI;tdyno5&hhYm{6qy?M83;(?46y*D9IW16l{P=Kdbh zrl6u~o7iqqX{%yER@_>yJgXj~kv1L}qO9V|9Vf&-*VcyE%Mzg=C`VzE5y!1szG^_@ zAb^gRST;@5p`LKNlAG73-*>lH)*>w<%T|j2o+dDiA6=Z&ZaxxJH zI#a}?Boe}9l%bzK0CNKU+rMFdmzFu%vL4eLtiWiE#hvXsISA09N5T=hP`Uf&Z;Yxz6A;KDT`c2p)DT_ zO_KYP<%}JD!W(fkWEfd!fgkobKcGA>la{=8b@&3|klf4y&ms15itXJlAJ`sYBkOV! z!8-(;GN7Wl_~2ogq%tMmi8H{JOSbC%PP1jg=-fkTM~@fZ8kh~Sd&fI`2%SGh9z&00 z#A2Io(rFwjJ<>%8grQ$(hU3#x|D`@A=7fV$m489n_t)aEXplSj1C zej>~vA>dF`p2q&^^p<2Xb3%PAXAIfZ*y0txM!sf-RWT{hNPwwXj zE9=7oBwTeM8yzuhFU9H=Df=6oqW7F^ z52aeD>w%j9;zY2{(e(iC zTEvJ|IV6L@lezVtoot^XCE<%3bYN^YT}*B>9O^C7Jq`y*WjUqxc+J?=X-W1tR@rkm zf&N$RwiCbEjwOM)0zIWDqbgiZB(77Jgc{MUo-{%Aw;35_xhO?)FE@c5x`-V~`hPYSZ3Q&YT@TLre7nIvEIH853mn`A-%;NR&1zL^2tSk6|Fz&56;l zg)lc*71O7cnUA1!RO^*oXrEtHFgosKsB{CA=(Hb<$0$dtx|ZU44leCN_Bm~C759|; zlbj?bn}o0BPG@%9!~U#5sOmWGBWE2;jv!bYyKv$IMy|oyfEAC2$!XId&st}<0GDPP ziWw$8tU3|?ch=zIw7II_@Q+rXTUuZP85nB^N^rYp2VieWhmwGJ{R4XadfHZ2qhgHL z2gMt$0?B9GJCu@sneSkS0D^Alx)F!&cp55C%EpE1C8|q+_3VL6vzr$riZ#5Lq8Ck6|+Ee5-e+vnD1p_mn#o||U#JN}Vf5&eM-Ps>x z_QI^W@Ri)=7?8e9ioz$R8Hl?XbLR2b?ZzNnS&1 z3J;U4;fZnkfngubpW^v(Ro#0T=@J6GBY(xeoaR=}Ev+(eJZ;K{PUsmnD6?>BJ7sN5 zET97eocRuA=jZ6NKP}jCP!gD@@+2*QgzfValTe;U>@L{S=Bdo{`D)^}GaYnyQ|Dkl zK@%Kqg=dClWxr`i(((hEJHZ8T+3g=7$7OSAXI-F2IbdRuZ#+1)AA^j##|F9IKgMal0v3=;{0 z15epG6XOkcw;|3w&tS=?!S-Gpe#|UhD6dCJ}pZvJ$H(g^DmL(gWlEO#r@8expf1+E31sgkLn}FH*)1`BnOhG!xN+?kli{0}b zwDIQ&N#z@wF};0i|HN+yjMOw(foo834=Ap*4vA`*GIZk{uCO-HiMbWLU0OP8^3R;=$5XhEn}num^}RU`PR*t%;xwN1wE(EBj(%H zbG92h1vtYzbQcz%ugR-T32*fnQ6<;F?(GF{B6^V$gynxM4=HX8U^BQoepVT5K;?$m z824Lyg@`Zijtu9#9f zM5aYTc5-iX?{Uo@Ja@39VazOY0zTB*hR%)Blqt~hkzKH?+ck=&Np&;DlZ|X}8H$g5Eos*dK)EA7XtgHZbA(j zWmfsK9veWPvU2$_-3-xC(kHp|4EpLcHlw#4J@w0qIxudxi(W^e@j>^woN%ldI#?)! z!w2jzYC`M)vVP+nvtBu=&lNsd)@hyPxKeQq^n%a0_A0X z$;~-c^1iFaHc^&i^1oelSQC^X%&TSwo^oM_v~D>C>aE{E<1K9JCS4Av(bp(`AO8V^ zxA&(MMu`ejLm3(y>TVE4brvpeP~SD$WU;Ali(g;W9XVwp!{Gi#p!F?dxpmKwTG20r z35DOUlI};0i|}W>raPZw0j!u?#S2o5LQJlO!lnd_W3OuSAPO0uPkciEHAC+!8OK2| zY?jkx!%*4ItdI0WRy7l6IA@Q+qqL(xrbF9IPG=_bELOeIpp0es3Si9i5!&raeQ<~4 zhMTfnADW7tBtU_k`~~!x+W&~%`(toz>~8>0I17Yq*KuG-5JZ zEtZw&c@_AXidH%1WJEt?{fw}H$`qI*x>vA5Uv&*~jL^loqiyev5rr8b9BQ#yAB1vHm9@`Eu^k=`a)xC@{Fw=-W z6)9eFFgiKR&9LK}Uei7~813@(IUG8WzjbEbTtF0`xt}KprCgt6GG41$QFcapucQ^dGhP{!cc0kHgh-)nNOpJgj z3upe1`PzJ|(LP7G2GF8(l*Vuama%Ij#rQOIzRsxTzKs(36Qbmt{mzi-FLnoZQ#tXd zjmA5rVHPp8x;B9F?*DoN$oo}XMKqlEZ!$t>4|X!R>qaDJ#>jay9`K*I_eGCP@nTil zLek47W)yGGWi{uRNiN+H@hw``sd~~e7IWy~!I=(5d#1f869s?0xN!mFtV1a9161$R z<&+2YU6NxH1l=@1LK(daKqx@;-ydsu_vbPJUJ3(F2q(c`F)4xYC(2+f;&ueZmp9~` zhjn?_CX&5~A{R3PN{rf)=K}<{djB#5B1XN`Rh2OL>IfALomO`1@dBf36&)Aac^L(C%|E?y6_rV>34Ig_W+?_M$V(5pwS!8(0m%L#_p*+j$U3j;4n`Yh~Zyu zw-p(rorKLU$VunSZOsn!CMT?|P(i#3-X%*O4r!GE+Viezu{D^(2tMiaN7d@5;nN<0Gc=Qc>7K4pjZnvAjm%`^}7Z%covuQsY|gjRg(6m;gSDFUk;8^|94ImjaE;;}Um zMTV+yU`*%B_JRRXxLZ;F1twjqG0EMMX4EE3sQWtX5)$72y)fT0aN`Nq_r$>APY79i zfBu78;nvQ69+qVm611J)t5F>Zco>9xeO$*_Yjhp*H8j9#9us?SNwoZ)hc_l<<4j>^it zGDjBa3sBm>_I3UH`hl+eDsvO&OEUYxR5}DgU!8QVGYzMdEB_SF+y7>(iq)h7`+rZ> z1vMLJL01?P9^TLv8w*9!sjJ_jHT2C`)N~_Fqd~_!psSQa=)dqNEmxk(0mD7nddgr{ ze{_vu4;5TCf$$xl+;MH6!Pg||13#@N;zi$7*GE4vjMb-zbkgWJw`G>Nx5mBU0t4$0 z8ZG^c2GMqB8~$n`9t7_0h!L|@b%6%S4@N6Kvhk0^OR(Ih(VcKF4$~F>Ce8Upl+eVh zxa|4MUP242SDz1e^;=tRCs@rPYTslz{g>g-UaM!TW7#BcGtiard2V|j=6c3dfUY0s zL76>AxxXm?QiNw+EU4zoNO2t1?s5S)!g%K+l#D<890vd8^22sqtmc}Fj-fNMOB>i} z?I`5RQ!Y>g+F}U!P!G2+UP=A2cA(kNQDzyE#7mD+{Qld2oJtvSmD+T93gKJ=N7MFK zuO84LU8mlZIi!x`PvZ6Oq8FXNlh6j#rjS9gq*CpajRKfPJFqj~?u=zr8JoT3^n_eU zPO_A~dV8iL4`i9Og@^oPC;!NUi;wl7Ph?Nw7d6F?MZiDX6OH+Rh3?v`!Yh?OprBK? z3LrfX?MJJ9lwY%AWnY5U2>=(~nW^7l%D5k$A~K@movo1g@OTlsf^uj1AhL^}mqV{1 zZ@R+#mrwW|x1{i)j_DC3(w8N&r;=P@=WUeHCP2W=`v`qn&CbGhDCH_mphZrji?UUk zjz7iBYpeKnUjkb6AAsY9Lpy{O0UCx%V*f0lOiJ4{jbu&>sF6tOT-k3=C%(zD0aaZEAWU zc-3=lPXTV4b6-G#_c19kTV53V_!|#$qh+L01Vh8-PW0sAztOQ?{3@I-=ZDHJC~ho| z*7hbYNb;qr@SP*g{i_9W)Ll zZX@`c(k_>QTX@keD0gbM`6f7_Zu}77lDumuAo=N)UK2E_Uj~|0VCJA~9H{~@umWZ9 zHi_av0mYeLL-(2(nVySK-&H9h@jBO*$wbzd-h?)lh8K`Ds3y`F>#-;}7cc^z``}!S zLrm@kL@Qtqb(nXii0p*(ommOMcBb#D|E$M<3OFai+t>0npy|6N09C-8@0@>37XJ;=(vZdMi7AcDb3qs~r zNd@0w0xrrC6nB5i?6L0{tAp!js7CYa?*@7?Qw4@as7PG4`JHIGeDS3&5YDFWk z2^OxM!kXaLcvyddd3ggC9rGkc^Rn2dv@kgmt5x$9JZ%R6O@H{V*qf;vBcU#;blesP z-Bacs9%^uAy+R84-=YNnUGp}0dIWey_s-8(t;ZvfPpX=xbM$d0h%wTCMoXf|Q(#bP zYgD&_i^AnIV#Cg9%UTmia zI4RSdno0Px)`-SEMK`VXBwd&zGLAOtld;j8RG#FH>S0`6yeebv1EaM2=A36J)DBTo za^=Hj8uKzp5tYokJ(M)pSLPww-aIfEk;Kj+ zc~TJMulKy4SudwQAB=lFV5Mh4b9xw$#azx~wCn#rruF>4nim?d5?5GBUO8I5rs#po zScnJwFzTBzjOueU3{U(I4e7j`+-GP3>V#okJJLOF?U7UrK!7So?=B4#`IbrDTa^-} zON!{z2HVO&OHHLh(1sGR48N%`^>AMJeyHiGuf;OZ;QPE+d79TQdCtzDCL6-`0*DFt z$5W+&<39Xguj_zBx>k2*pY2+UztPw^-`y+ZE^Wc?}jT@1q+a|RQ}2nL-r0-Vj59qhUscom(iI(Oe7u}z8L>K+{^z+Wu65go(K z9*3yKA9I?YBq@Bjj@kaAFJMjEszm}32ez@0THKi=TvJDgBTE#CXIH72pcggMjgGver> zEBW?xa0T7&%TOz%(b?cCmO2piCK43nSWj{vY3e=T4ak`gp)v&yLQ z(zj9m2UU75x>%+Npqpr8Jy&FWn|=uW%c&t@tSE!af8^(zbA0UyghB!Qu*wMlXv&uF z9lGtzBC{+O(EQYjxG7`lWfpbSbx=}Nr?-9Mo-P>}(8$AKtVz3k_Ht@K(@+gd1^`GA z8Gi)*>lLA+2YSDF(pRv5svT{(bAaA9-t3Sl6k1SseUbwu$Es_CJD2Ssi!Gi9`aC?9w2+$>*ZD=oA&%>SbkngMbshI;AIkX zt)QIwxQ*oXa2B>vDK*D@53AQC(M+u)qxR8@=x!vSH`O!7A`VyyN6v(Ejofon^qTEa z)&{4ijxic82Fe4vf=$CYs#pwb#Z2S#E;kt;6W-CaBz%rHxa)`U;%u{_a|j2 zOTv<3@Uu@ope#CiuEaJ4WII=k^GI`fq|A)^)#3_)|N3tP^iFR!!WZ(Mbgt14PuTRh|bS74v*mgs*}ml^KuvY<#~Z-CAlfS^p_ zaImIW;M|6*&%5jC!k%XMe9&s_L9aQxxm7UuTXG3Fb<(G}0iyog?#9dT^IsWeM+NoM z)_ZwdSqe;_BY8a14piuTsY~G$=jQWqn=_bv7jZdrH*@3G!7(9h;B$N?qqneB!;(}a zItnb%3Oxn|E2QBNUFD`6XqDtMn%+U#-d?Q38Tlag$xwSWBA+kg(?Pi`Jw2RGX2FB~ z&t>0q$jjIK02-|#oLl)e+WfWwk-oS;ezFg&=1OaiDkg<&k@6cm&9M~)ZHEwh6h^PR zEd!eKky1#Ky!JNm@ry7Onk=AA`2l&(Yzom`pC*#bKtbNV6H)jUhja2b^dc3m%Fr}r z1C43hNuKi;V1&#-%m_$mxEiWK-ZZT}glvhUrFJ^HBCH1Efc6%?se*Q@ykfO-lcdF) z{LrYoDE9Bt&}>O#VNT5NJ1A*8%cL?Qf7;?7Z4iy?bEX7IFi>z8(?7X1=(%mzy^`jD zu;u_%m{=l91&^55(2Gawlk1}m4iNidEl2C!r@P}H|9zvF9^1uDhA!Re{ADg$njE_b zyaxvy%9WtM?D$0hQzQG|Kx_vUPAcQ! zmHE_3Qrcy`KSGMkMA-D$`t#DZ{34aBrI>+cpJ?r|xYAV>eoqXni)nJ&LuQT;W+c{Pl$7!yzzj|No!L zFUtr#nYor0s~hy#jkfWl8A+pe)X*(;;jJ-!ja;3e!~Yx`Lf>IF7Jf zr*G^GX!Po$CwS%?;<@!1$+-F~Ojs8Bh=yYYqcPlbp*AaQO-OjEf+;3+iasMO(Cxou z+maMmsd3<&bM}McAir;0v|~yrfFu}zEr(GVE`1_in5ouE;wND5Fy0Ck#IWB{7s3KJ z528f3s%nrsw(U7Cyi86NGk*spEuz2x+Pz|fxsw7!+Z-sYfRI|sc(R!BvS?&05q+Aa z@M>1SPFZj%oQ*YgjRG4Pz=zKl2{5uJxumPi9*8Lz!nJL z)O>`t2g>QX(Qz`D1Zq>8+b){=H`!V2KE$@`;#b8cZ6P6102qG)$S;RD?mkmGHApr& z3wHU*)EIEGLB@{VgytWf(g$F%dN<{9}IQTrS?% zp)@xwr@WKgCC(AUA1;PH&%lhH)vFH?Le!i1gLD81<#IPzL9HcGW)*P2Jz=U0HNJX++XK+R2YQ%Zl#smRkSO53y5*cn z0z5<)TX%I5bYtPtEN-NHKcw`$nBf|!OJfWgvu2oG3eti0 zeXhzZN=CSd*V7X^Xl3ALAE(!l_#gNi)4U7Hy+z;K(9@oD*-5|h2t&Il@LN<_R|g}E zZ^b}%I+jo-#aQjKew=%Z`Zf@a7ELvpV2(EsDZ-!&l9Z0Bt&n~OQ9j>LI%XM%PLaAc z@tf6Q4tza!!5JMle&GQEEV;~{+`RWghl;N(N1bp4}@Y|^oF!h1t-+mnO(W3u(r=Qxsn%g`P z4iAoz7ZGdvb7_gwFPa-%M~49asGs^S(W}oGd4?Xacquz3(6za@E3WvbP^~&&-#3+#&`h2 z{D9Vq1D>C?90jmLR-)nqAe5di>D^{MRRp+*65&ql9DuUj`O}~*B_RCKO@_K1ho2Y+ zGe*5Al`w~(FTayh(0$i?q+2|v+-Xm$%!OYmK-}M%*Gdi5HIfi9Wuov}0l-oXW zO5GwGHfb;r(Q(}34N(L;+iDlpIF?foEf4aJ4Z>s0DX zn&Hz42N)iOx^ByYz%CX%mfNuG4e0f@BDxYIDs2SlK3QJfr}mZ%l#Zws=7Evp=&SHn Opu$4*bTPA@J^X(&QP3Cw literal 0 HcmV?d00001 diff --git a/content/articles/dplyr-0-8-0-release-candidate-wd.jpg b/content/articles/dplyr-0-8-0-release-candidate-wd.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e57a85f593f1ff64eb71471daf54104a32885465 GIT binary patch literal 524068 zcmeFYc~}$K*DhKCkycS0a7LmGg36#mi;RV>h&Cdic8elJ1q4Kh2nYd^qT6mzP|`pP z3Yy@E-3pOOW}+g7K?o8gGNu(sfB=yM5;9cfZ2ElXe9v?Ly3alL{&j!R2coH}?7jBd zYrX4T?^b_S{{t=m@!;Wu5Do`Hhrl05{RO)08W(y2f;>E+?GOZg2Q9!YgfziB9Haq$ zto*O{;0B!8fB%0F3=Em-s~7>9~XW(JSh6y=D6@n5mEMWPKN(J z+#bB2|8Fb9&Hr8!9p+@{i|J>Pcv?R|qkh7!^XiyxH1vC$#s6!yXIf0T+1v``+Z=x68XW-Rz-4B@4!q7TuYc z`+=f<4XyZ2!)HmQCT<0!u>z;L0;hfl;Q@Bj!u|XD_crhYr=ht(YoYdcixw{d7nCoD zG;o@l8VfYFwC2ACM+Tom3sz{Y+_G!m!d2eqv<)NmcK?#`;5(xqir=h0_VJss_4zBm zE?T^1?Yi|FOtzYuZQE}1{T|!BcJ})ZxE^#nboj^PCw}_*q|d3-0f9jmf$!{ql8ac!Vz)9UGq(OJ-)JvN^e8eqI1_{?BQFpZ{}a|Cf0IBj7X^EYMt_ zJwGp;M(q5=S1i!lvTNbWecsyVB3Bvi{^dKpA2J>kzgc8teeB!n^H)ADUSn+Y#bkPZ zYX8pc|K7xY{eLvG|2?t)o>w2VAK>%@$b=DE;Ih`rI65SdGdM14$xe7(k5Q*+CTicmyJE-tD(uCE2~*5 zIqsPn3dI*$yXf^g*wHp7G>xRmPOkEhTJhxgG5DeyqKl9T_M|=*r-#$LxM*p4#U0+5 z|A`g*b$CHw`qXlQ8hWUPp2Q;`92lNovCTTIPY+!sQT6t>)7ihSS1C!VG=_ZUl~S9b zYS5M1Cept^zeCP1U`A7oFQIiVDxCb|ZV% z7pNgO@I~&rs7w&1SH%7xny}?5Le$U= zxBPY=jk*_Eq;1Aj%kyf8#uHCV@iUCMT)+OC1ms;c3;SWOl(pGQ%PwLQKh@!SP<2jA zMQ*q|`xPA}S13%lz3*X8lp0!PHSvXp48!SW8hdh@)zBYL%9z5$yR~<;8tZN`Rf^u5 zOWh`!y|8$NbaYvy%PNoU9^c=)`c3ZbI)86J`Zr=YG{Fo~TJ>1gzl}$lY=WmvHIl6T zzrs9s0lh@d6h5GJFF|HRbF)f|4psX7>~`G;Hn`BM`*m~FkY$PdTbmj(*PVjLriA#2 zS|R$RKv%v1iMebBDfgGLBcp7JUCq7rlZM;EoF6zf)^SzwXcm4H-gj@dY4r8-W|Inq z&DF8x)JZke>(xebVobq;PVNa{P=kl8TW%p(ldyeJ{^H#SZv=-4SbD|ezZX%nfF~`N zOPLpHz-9i($h)yzs+8uW`1SSjT6#co@1enMu7xQX!)OX>h&Xd631cUJuKhe(F!@8Gs*0mx*vZ6aI&eHUi(xSlgC0eG2LIhmqk=17xxw3lwOn7=f z*AugJ!TjJ=c|wAM47?jZcSjAq6VM};Ldy^Hna{SZl1b@aOO!!}eM-Be66!WWWsU zd=F0;!lS#;slRb2y=rpdmxm*;O9W8ksZ+g# z@^xEklS8KpDz7zx{l6beazn3`O?oh2X{(ZUN2WrLEIxg8U=h{O%D)ny>ksai5=wi{ z5KiYYX8e0ZPcfgpElE+;k2{~_l1qliU)6_Gr8)PdjMC42Y6$E=)~7*Y9kY~~Z4)>yDn#~+rfPqQ#I8we@(AUK%Yai;{xXB{ zkwLw(%)L*0-$T(-zA_$wwSk`4 z0hJ&IYUl{khkGOHLTb4B!yBMKn&mAA2I(o0n5X6w=&+Kl48_Y;%s=#?f37z07v!{9 zlOD-79f4vJ7RnQrlW0W$2G!6gP9gPLwA$a6 zK*vrYMOX?0EE(=Yjr6e5T@pJ2VRPxOtPePRQ|dG(!|t@*yN4eJm5X( zl;zHsFK@u8V0!41B5PH$wK&P8?G?U?z5_e0hGymM2+cm&24{0jZl#yORF(fquqR^m zPRi+B)q*S6#yV{4LpUu@! zO}{RBMZiYw(aTQMZ%M{~Onim~1)_Z*fVCQZ0|PHC-h(Kr(DwdrJx|n-5?GgNqoID zUn6NTWCs1e{mU2?$opKDde*}D5to(QRWufZ!ptEetv1lykTL~dAQ61S?myEw2`n@i zfXP&9s5(+L-3NI=#UdG14HeF^Ig*XlW(%hGs3ALB`Yh$r@fbDaJptBm2D+&nLF7WE zh(|%_BQxf@Ex4X2;!P1s5gzg8BX{SKAXA`#?IMRABEB1`t zQkRV$I_%Z$59+z-nr;>vEzMT^CR@7>f3dvGq|O}s+;_ypT_@r7$_ z07-u3V$RIYLqe7pX@;Nlo$5X#Y6DtyD(F`{#sqFb6-n-$PqOSQ+xfWjQjW~qQ)j?U zp=6w)v-vXsb!4AJwhs1&j9l+!EAKKXx+-LNMTQEMw?S@;A5$+Fdv4!mh`v87QKcci zFLXyZ_5C3EwkDjAEAfwG@7fGvFSg@sBKuQr@wGN9t-pbbd5ZXAfLX z9;}DEvhKK`g4&iPtM|;a?Li_VrHq-{=!t|VA*~E|*uU4nXeBmI*c!nEzMFH@I)f#D zkIUC?)a|WkmfoR?5H1NXQ~*1Flup5pOY>K>Ze`ma_V2@dD15x)9KbcqF#^?#*OFwC zt!FkE=p3A<6xrj&Fo(o8#$RoOHXg&zT%QUuIH{m3&vDVU#dvDsS&7S{4WG-JO%*3q zQvTQO1b`RV+!?}{%c{nubOqI(Q0{6j@zAB2g1`-c_r~Hm^3g+W(7sKzR#8_hEd#Pc zKuS1196WD@h`Q*h9@Rl>msP&KwZ6s~BdOdr@dW{jr^@3+W9YKo9?TuAV-G?l2KAyNAG_~Nti%A0|?P+Cw4 zQH*`smd%xQv}r4-GYl0?P{r!FY=%p$3I9V*)F+605uO}FKsFqtH*oH0x~wRRVCzN7 zkFoTB{wCj<=2_+maM;&Q;WL)}_1=X^n&S1`k_YZg=S-PvO*-${R2jT>7>K)_{7WWaE70oq+*J&g?-;<4~C%e$ivF68X6IjdBr42a=>RoIk;2i_hfKY*Aa9%n^B336N3vuBM@B z>Ch8siAl?)%3EK>PjcGtG|>CckaI9U66Q18j4fZ{Y1(_?RV5Y6qbTs@_?a6R54#;B zy@wFqChch6Xv{YDR1RK9X?~}M#+CydQJ^Ag(!b4)zFq^OxQFD?EoZLzF^sQ|JbEJ# zOd>&JtO|qtd#hZQH}&109E7)TL&(ED`&d&J)x9x8)2dO87L!*jxnWvMF5)1A$HN6` z$Q8s~uz^eCBd@t=ur9sC#LmVNe)6__5y(lFl>&Hn8G89(h{o@nA7wk`H}p!V@^D+x z6dVa4s%OJjj)R(%#F7`U)ybQXjA4H zy)hOk~~J%yL0Oy@72eqkleyK!vXr}ndH@_Ob7v)2->e}g)a|I`TVvAvI1 z#kX4YuarBxWz6|Sp^pMMePcaIhLXfTUr8*3Qg=N6OA?F~?A#Z_sgO^^do9@QR^Ru5 zDyu(He`(Nj%JGI85_G9v6DY>Nu>Z2bdB@h3Hg88*UG+!cfM5I6(AESB{mihJ*0bDA zfAqY^E?v3%B{_uB;t2Lf8M`M=8OvO!I`L9V4Os`YpySvebCJ8s}*c+1nabnxxp6FcmSWKe)^uqrnT{lb0 zm;;+Fr^df7#gR<8gmc-@8uoo*D=XYq!GqiJV?V2*bAYJO70$4~C54AZs_0{XG+Ny@ zmqzWwZb+%6{m8=sGzW7$q@q@kUvKn&PdhSr{(@QISvBNGj*|XTfIi2Z3tbtW${WEQ z|9p9-8JRDkwST5=CzfE!=4(t;Yqzy@YM@R&=CWxaJ$O;op`qLzgn>}+Q*FZtqv9I6 zT`ZVPBqyk$0PIiPmF~g7I7&~HUJ0+2kMRS@L~>*RD4MdFf%pgv$yo4G+cmhLbvs&O zlj`g9NWyULiNrFrSiSXK$VZq{KadbGM{x?#n8|QzyT{%5uqGXY`+IucJwoK;)z~^c z+|kMK!Wh$Z_iax)hs&?Alf#6Mh+vDTs>wO<+-|I0kqWi>M%NNb`yPKJ`6up)+ONeG z0ic+`s2GQ3%Z4~k&u}$QlO?i<^Qq%z=3jE#Sy&vxD(J0my+<2B9D|ZJkqq*7)V)K9 zN~=EA7{+4JBQbgmmO3A9;S_ES3Y1!(3KUx}xv46#O}{kh;X(tD zQY7TG@v%mW7t7oBgkJ)SexsnbNTE9;9E26B6)qc&yz1LhQIR*XvT<0~S-iwIfi$&Q ziF{T=ooc9~eB%Vt<&K%+k6F8H`l+s-U3$hX*!*gDg@5#(sC`n=Jc}hB3yCXc9ew^H z;g5wKizDAkI~t6M0HYjZ>)tOQ|D6yA3%fhJeE2ee9yY(>a_3xji;Qx=nMxB{EP~R| zm=V_JXbF}^4oiE^%)`$tY4KVfjNp@}SZqa#@na0Oh zQU=e%w#T#*Kx6=i-HWU$m9g4NTPku8;un<-Z1)YSr~st_n%*AD?sW!`(BKt4sNL-! zh;?QrUnlLB(}kDJs*JY6u8QMwH~?*ABC;qsh42p7GVUH$-wqGBnh5~frp*r((4P+n zz=)|79GvWYcA4{`&h8zpq%GCimX2zO*ZYPjrIv&0bav*S0F9(wQxEfkDzY@4w|Q>;jZV(MxwMVo3G`EsvF&g9^o z5hkIjLo3Z^Sd!`RTejIlls$zA26g=hP=~8+kijt`%Db(9l5&9KNu8l85|ma1&*>dE zy%uDvp(;;H2li|U+lGTM#CAgLRt=aX^GMR`)elf<^RBg1%qW3wKWW_r3?rPyxaUM^ z(^Fe5usQq|7!r+8BkBmKg3P@Z+LyDZ0(;D_G+OP6B0rzRO9Ao=-a8cGe0I^J!5bs} z`0_?6!=X7j5g_H+S&@P&Em@r8ZsfY#*tx{$O*tQtn> zZ4%GhO1k1)=jf0;{r;Qrd|f#|1v`b`KD929M)_!W?bU9$gK6L(0Axj`8hSi<#x2ae zq;Yt^V98B6Z)SFk&Z1uO((?UunW|3=TYEc9o35);_9HBYe!Q-$kbN~@V|-DDfgsSI zIJG4gUq%As2)Ty&SI4p#9FPc>zDqFY$l#0Rsdj1z(HV5}R3r=|_bx9B(RjD}?Jes* zcXMy|>xm4bCds4{c^HYoXA)npv9S2a_q4D`?0Zg7d>JNfiYSbbw@o?I>XVap9Io3c zmb#8yq`A`X=Mhlj^0Cpqdxh=a{$gR0-BVBpnGPg4MY>4vhrrOX0mB})&t(cCcPcr$!)Y#104 z?6O&gN^yFci!X{_4Bhe#z^2v}J-q(L_C6Q$Lq@t{RnxOg`P%aO=p9kYzd+QvoF~J` z%wFcmIA;ggF+y(xz!A}t2x&MXKF8u2G|5Ia3JTN@AlX1YMjq3SR3&4U)uM);;>S*2t%KP|qpFj(P%lN1G74_< z`V*kcGFRWOZ^N>}^^Ua)_Uocx*NxFDV%c9Z%`^@j)4R)QlOQpUgV8%l>mf*;8sWSw5yg-h;E|x&Pw=YB=dVECgy-%>dzSW5}1rLeV-b=VT z+rBsdyW1Chm(VTOQ(AY4DLow22&0u|1;`^ig5jN->oZ6ASrgsGfFga60)nv{1lU4P z!3@j6#j>nJ-q}dB%~`9sgG{ENPJs%AGSX#*ymh3Fzkh9>Uj0=^Dh%$)ArPpk0taTy zN!t@-Lj^WChyBd96>S)OgrW!u22%iOhfvZRj}=G&2XX0TpNCGY?%ng{k_X@eVj1}n z=BNElCR5#LfR23ldDZ<>Ci6>W|B;?M1BfNeut+@T84+5ra>vI zV~spUS_y_B=Su1A74<6e-1;}FT@vW<@Y^YRaPlc6hL0&xJmyceB_vFM`1S09sKGQu z>sj}@SoF!)nsUim$x}7-TGg9=Ql$vc!TrR=oS2_}L?Y?-y3Rao5Nyd-xio*#qmT=^ zdxys?y1wlvEoCYW;B$s|bti49t|VmH?o}Ee$A+*3WxDRO$ypFZtam1d1l}@9Yh`B% z_6b19;`O+8;6F&lTvmVGrnj>>B2!)r!n_rIOcSdw4VxL&=IG%l-DBnhSWh_i$}mv` z7i566N1BwQac^{RzO5M1kF+H5@u>a-#<6Q@StAHrcZSh` zpObyL_fjiH@{nhIL+|C?M7n)QVj2n6C5}usLZ|7&xp>QvC#j+)@wuFdmn4lP1diCb zCtt&=lvEGacYstSsl5rHg8=i3N8qQs06W(AP?UL6xxkyE#3&Yx^E6=koG!S2qN1^b(=INl{Zo9F@m(Ng9S`9{vS1zuZ$dhWbB1AaK}lU|!bR9!jeK;p(X-s{llW!0}QverA+ ziz$fqx^j>bT$S5~=mB#hrQ)Quv@51LwF9IQ`OY>v+yt=1(dzjNED=j5#VVIo-!~5L z#>94k5@h5C$R~>Q!FnDQ6sWGwG55MZHYh<0b!VF`jna;E-YP6OGl&sBbZDL07*D$5 z$gIo5e37xAiX4Lb)ljXS4ep{3=H`(@s1t7yp9c@43#j?PkB-HAX}MP9uCHx|6Jqr0 z4}3$NNJCs+-&BVdJ+mQ@5}P;Yr)$KP3OZI~t6sW7Co|WQsH$=?02ae?5a2;G#uENT zCaiM#?gFpg0{f{e11SOsD=%Gk<{x0-cQrhkeN6s$v5B=`g|gCCZIu$lOGXc+<>*5g zetOvzkbXzLHEc#Fe$D_`+zKxiIWgwD)IeMCAYcmn6t?I*nkICfcb07 z6;U)7Z24lPH~vE!bpYwBt79^?nOvv0(=Kal{xVnH3G7*$w^sCSlc3!K@oeb3w+6~R zSe_S{XPCO}g7^q;l*yH2pr_?(yiGu+9j$6aDy&=7-{_k3Qn?LI(-JzA+sG?Td5RLmh3VnYfqUd^<@u(oaC*bXwM~Wve~JI zUfeQCh2=z@{xhCxh)B{Gd{zQLkecoTW{UAIU*Ie=B+&}`h3z4VV^~Q!v$xK ze02V({40^S_k4o)ux}cJB_~JaLg|OS;ZEa2wY)u~+NnCHIH^>jpP0WK5Z8wf?{U{V zhRrohPRb(3xCI5%5TfqDE=DV#)9u5^vgtEzvG5dSAVwM)=>)v#Q*3OQR8&FmLDLRR zqEz9{#n7mE`I4}AIjvRBL=pc3@1oMFj;X5lBWF!$dw`8**9C}4-O(#%nlDqwxPjjN zje6cbY@3d^*2Dn8fX`_FL^(#2Jedyr=shp(eZha99=y2xJ$3ab?(JbYZ;Zg~f;-@k zMfI&BvIu4H)-O!5eL;)}BJcQ6#mpv{HYbPHw`tSoTO%Ow|Ec?uT!WczC{P_~ATQkW z5*KDd&&+h=_crQv0Id%)Yd~hG$ftq-g@PDL=-uOZxnB|3q3I|pHL18GZXI#emgZz> zaaAb!`OiRCbP(?0jRB@$DJbJPXydAxt$@YQmql`1Z6 zsRQ;aa+D&0_Um2Gat+7#5U0+Ix8z~Y`4!hZuer~YF{98B_JjRZ&m!&9kn=~Ij=FcT zGXLa$-_zfC_HL}ou^>eHosh$;OErhVSIIkD?bl(W(wv&C*i zQy$ILRr8aKZeR5X*QW<%ZcDuJAT<?t3aOY34G3iy^4irt;Ov^p)EeVG6^p3Fw zr_g)8AkzcZ;t4}>vakLP2Qy*Xs*;^R9eP5}f5qHY2kLs1ZVC!E=6G!T!zihUkiR}3 zcM31d7V0sB%IVF?TcpCcdBzq5Yh&{Fn>?u#l%Xsat*(x@-&m2#p2RBEXd)zp zw?L3G=Kfi!6AQ}p0#eLwkAxAHxp$-aH#uit<1DlHl6G%B_a?c52OklPK{K*i#Wp5G&F9qW8sIyZnW1Cgoj*gI`P}l-313wKSpfhxcEXHRNsD zkL??1Rz1_)bC4GmY{JTm(epfEB94Y0G}xQ}2mH53_!#9(Q$>F(HqI+ulFB3km^%b<6}aTOu(aRC|G$?72gY3mi&tb_o=F*PNiiU zx#hpV*yY=d-3A_J!y(t81_{^UAfy(%g`UUY)bFM|qKtCUuetc9lUUjo1G3UoqG)EGTU(1U zr_pg;a_=E3X#De6IvtV~quiGg-J{49VbGn@MjZl>24DnS}mu(}U0*2+C zZ0YsQ^LxNK{1WI(UF*AfjSYHuyBLi7Dl|6RO}{ZJR=VziGDxOSCg5kD6G{dK5Ek|5J+j+rh+Un_p6EUnBYs$4 zI*%b*xxIzjJ(NL`BA`Dye_5BuZ^9`+uk-AlL5nA1tjUoUR1k!4b3 zSb_p{vp#+PM>=bcJ5$jn1GA;UIY)*#OySLr1$}q-BxYQdzPFdbf}8g`78nG#*7g2y zfZ~btD`NeZS&w^0eoR__bHB(ER`3W-0X)+X&7a7?Ey+=A;;W7sc8WCGf}#g7Bdz!rq{k5?l}uT{<$xqqPe=qB`Q~5K{rPwSm|5ZbL!h^D1?~C(S5vVB zypck-Nv_ZV@}IOelsENIfyXNJr9;3Q76BkM{+5)y%I=O_|GIN+)~JJY@B0vq^`1&t z25`csImEvU7qKq3cK7;+si&d<9{mGJ@y48Ipyu;FMHIIFv_}|U4HcCNR72xVip1B; z&GWovfbKfZ!B2}1&*IZzN3R7x76cCV&rEVRkx}g47ncpi#Q;Hs*VWY%#$kN`qunBl zR}Hfqhg7pD*-XRERwX`!@xBOWgc;+J5@_Eq=ohf(km+hD_^wsKn9E|ODFvOA&JqQn znfjgPE{q3$GylYyKzca;|4$?^KvtvSX~mlXvfDp#hJfRgBT~4F5{=uQ$lN zb<}?K*(JNmSb>xy$6WP(2nD*uN6jSGqTyW8*|hdNJhM`& zJXxUR(V|>d9lD+ua6=8nnTRi-^Bf5e)zvN{dvdFj+`gyDAAudK$E?iW_&HbtYPr|$ z$H^SwWX2yMkl(1p*KNdI`Pq@)?}wa;HyBi1*3(!M>W`O)VHM3FlB@x=78oC6PWcbz zt|+S!T6y4RM1+wV^3`Kj=C39vhx-g7yM$8%2V(0t5W(kP8hJ(c)*>zJUQG~fB*O^?F*9Si?FR`a;? z6kz25^Jde48qPQAK1NJZT3Lzd_Yy7u6@qCyJ;agZe`06DWoJ-(u(&GnkOE6w3>n{* zwGoNf4f9gc;E|3f?H=W6nfCPgc)+XgU*b@^GC8d!yBl$6V*yzjmX_ylPeJynTy(RI zky80(^zUuw#fc*M7YtMkR(?)OTEEub%~>Z=V$qxKI;7cvI-Mac+XaA7;{v zYfC`klp8|fu(Z(~4-_$YAfaxsW@ee*H!mi=Twe@2H2p{6A#VPhgX{73M0p$lprFNR)e|Y|z|Ddl{qL`` zg@HL%t6u;T0i#)f)uYzC|$CZZ@KU1@`MUwzmAEJxd97koKmsapeo^8*U z@;^z|Z8kgE!@h5ZDTKfF&g5&hiwepB^}TENS$Y15XK9{iTCE$_X`@?x84S)n-xX+{zJ~H!+_{{AIjvihbapL!an*1 z=r^~;ws)`4gR;l@ap&@$G%_;)$y)@xhofHzg??yC@5F&x=m}ia*o7bc24D{Iat7lJ zQ{rrJry{mgd2eFoSxwcBB9X&qkdSE57KRxHzaPbUEzUf=q{K~1v^>5RjRi{x&kE6a zieZvz=9iC4-+#bH5zcp;X}a@t^MP5_URl1zxy7zJbZ~+oZKnrtT3{_kLw|hKCznl^ zTgCpQy$h`z+J6JB3xF4=Wie7uz=dtR@Tx~YvbXg*Gg1eb0Bn9_Xk5Snb==Uc7m)Dz zjrvYnAhSAq2MLrQt?%$+VT>GezV;kCnSMY%Qc0qG8bP>BIuS*NluxzQAaR9VG~PDy z*q@lElmiwKFP;tMF}^w-G}G8EAz70jn24W<5iaE`z)~ij#EKYIWN(rY^<1Dqr1(j; z?pFM)8j{XRk2*I{3%ZtFP12Q~Vk66XJapd$6|!?qciU zN9UU=%!}Z*3YcE}-ubMy>(bmGr<-j>L3_~6)fgKHR!*uRASJj%mZ=(QR>Jr%P@PF3 zJ!@&b8rps;Jdt6)4hW3CBJ%jHTsxNYeLL-IE*t-7zI206&XXN$1(ILv6Rd!N;wOhG zP`ypMXuhq4Sms#lq4&~5XVCS7Y%Lcr5ni+eiAZ==cpDO0gnw~w4Wl|tl<*prqJF=9 z!!aNfyoeR>z72OQ9KI^rZJg0y)sx7RCtgF1WNVl~>&LM8VVw@`Q=4uHL=59YMTH1= z-Ii-I=^n6{t%VE_4aFW1-T9AMF?*ooKTA#3-O={>q_Pg{s zVyFuajhq|_8n0(%xGZlD-F-w%L_cvebUJ{70LZ>T0jBurQ-P`yz>XWSn#?1r{AIp+ z$vwuUwP@Edv?L@k-8@_X2Pyryd*E}RkGHSei8Se=7h&FG!pxc!x9UZC4$F7?dCvE* zBg242@VrrnK1T(>`*CNmbgZfMjmluVKxT`IXlutE$0)r;{o`8rGycS2jXE znS(xr)`}EaF-h?bJ7Pe7CzZmZDH9cm7vb4eY`d9tZBUR~!Bl9GNwN^tAUL3)4>bw+ zJHQUQ)~sWFCKpqs&op;C#2s&`0gPKWVW#3})kQN*+)851vM4+ci|_V$rL zj$++2pgfRL<%;sMrZFJtK_;e_#a|t8S=ksys^7@w`L*hS@OS}zl|U#9m^@WeJ&EO! zXPobjx#$^}a)=w&1L+%kUvUebg=lT1k_J^rHuz?|_Ct`}^MU;L5I;9X=1M zvs*DAzkNif_wWdiJ^Z!iOg#SGib~B5UqAJmJSp)bVB?D(7?8WxaO7(VGXSqTJ2xUF zfZMH0&%L!XbMWo>4uWlSjW|lHk*ZPv){3Tv{_*)1qIq7pugaZO^{TX541#$!98q3h zp*#RKw3O*7j(X#@5RAX3jTFr9ZI$|-`cj)r^DkDvlQ}V%`uUA=S+1T3d=_TK* z@IrIiSDktz=mQV)^wU-$0hkGI+RiDG7U{B~TS}CM*})&rXZsyTqk;ckw!m7k8!_NT zp#Y7X*VIw+Gl=TRyOMq7OfRn=D115cj_)i4lF3UJ;m)n0VH6ut>p_e)#I(Wv?6GM} zvQ-(W#E(=ex8Cp6rTA@)in3?V$sRTIhSi<4Gos8lxHJ#FRN?Kuz&V80P2R6`P9TEa z^cdyMVaiy>$j2l*!iv*vOBz62iU`cs@mM+ws>LzWNh$MUxzdyH66vso`wZ?t9onlR z1HbjiugWNw{7C23#XVL!viD_@{avF9xAB#Rfy55X`eZ}=0I^LsS!r! z3S^0@Tt$*G4_*~@h17z`4FzjaqU<-VE5x=$(r z5Zs<}7m#*hL!g2g_+2Izywp#H>VgBLcPKqqcwyB!%|d7EF&eYAZyrS+YLeORYK|I_ zGpnw(E4{@QY=x&PK9a7A4ge(Cg7kIgf5#)LYV2!hio#LK=jQo7Kk7tAmOGDXeV$N_ zonO)K8fJhbl71Z=BmsW%HkKKgrawF!{L8g2uZ36tq1r_Dt*h;cOAbSvhfo91Wu#O| z6+riQS zUaEi;MXEmul$;>wcA5%iRMal71vG-;Zk>Z?9aTAwzPF2G6*P#zTQb6H=yzf>16`{NJiJE&B`oD2jq`U?Sv^UW~=>dO7z za}X3m(!YXJWE}9#jq{B3EFd-lY;ZZ!6fvk`_NPrSg|#BURx^9++ZuU*79i9?hs`eo zL0E&;lN#!)u@w-UICW;j!T8PMcoG8L+fFP%G3**tc#5bo?Bz z)>sBoCrTREW(>d4!H?-<%=6Awf<8T*?&r70ADflW|3b#v8k-23~ZhQ40x8aBDnB)<6 zJuEh>qd&HK7)g2RsR#Ksi_Z_WT2h7W=m)%f z$0Y5V3G+6zM{HN|*cVVR*5neaa?ePB3gz+D!{n4{m~MkRzr%@YLpzf1t`u#>_siGF zMQ_2W!uXlj{kWfZ#Fq0c4YT1LZU3TYAlbtFi|H@1yFzeIX~?&q-+S16s`fLJ49>R9 zpEh&O0kEE4VS_vECtBNUbT}wmh(>?hHw@~^SqbJysXDu$f|&K8qUySPxK);I9vDdl z!f67{IDG}ap%6O4)m7e^7*4g?)2-`FoGDs>AM=aK!~3Ufa=M!2rg!M2JoB)5Nh?q( zAq)@@M!0z%?_$AGy+p4C;^!izb1PxMRhO>AoLkLKm;g0|Y>Uf!BSUM_)kw;e*_N?k z3OP;{*_R9b{ZY==?NNPxk~-S(T~69{xRW^q(&%Q4o^FO~-QfGf5OOaHt6l-Pulo8H zyMlDBm4T81Nnm37QZte7DA+s@xsUvYiisF`yGuV*s-%E<#0v(QH0xH(*ni zzul@lAzMz`1R{&-&Fiy^>OX*lWq$rT$^VE!G(M$=(hLYWJ2onYMouELNHuu6P6y!O z8?Z;{R?Z|G%bk|Cn`xYS{OUjzH8{_hIlh%e$L56yAcLY&%_{qsTAsFo?7hRO-P?df z3$)!47SsKCk@kqf>NIqhPkOKdO=*z?N`4>S3BU>&7|!$OJ7>@o>iAxHlCkgOtI2}{ zkybz-1**5vZ)6&0ETeyBudEF^N$hX4$#{p1-Q0tS-+oO*o#{jOIyCbEBqvy{AsS_+9xqt} z5+P__3pkddusTBJQyzgp{&RUsV2&=oadihOg*%M&c&xPOm_G2YhrcHVC zL}D-<^NZq44|N1zbJ?UxoTJ(2ehC?&a?YkXvIvYAFFQGD!Brq%XtD~Dz=+_@D{TZ|dMO4Bh~|8%9sx^RqC zIQb<9J$Zk=Im~8VA?|hn$2%r=sWvZ2+wI5;Nu-v%S#}Num>gDBBTuG|Zut3OD(Yhdh^2o8b z4$;-wzLklh9Zh8h2p!B6I4ax!4j?Yp4BO^xKpr-J01CgST>!<1UtWi?_lGb{H zp{H@HxjzCL@qq7Oag}F)Q>-%Zbp!$1RzSWnEH6e{R{%q=8k)E#U|u;v*<=QJ8x0s= z0lhr`M9z)+RzM?z%&SERw!HK(|B*@7)AZFmX5+D(hs5iflhQ6gg&tm;2j-_R6;`=AP3eVeA2K-!wU zEs^Jd4O&bwlp|4Ce02Vj=?}N~ETWG8C7=mvM&DaZ!7Dfw_|$KILrs$-ZsN&dbi$jQ zzWxC!>zR&0ux7S@rNO{=`HNwDC#;^8dlwx40#F|6${ytmU$m%UUKY zEo-S{IZvsN{aRTw!`4=oCZ&}&Q)gy|3XfY$D@!t$mYP^CwONvyXOcBDG&M}kvr?fV zB9ee0hv(V*Vek7Vyw|l|UDsv;58v+8>jw{m zH^51i1C`C&;u*I6>ojaj&nE5ZQ}TQBQKT78GdOMx$WYBl5mb)jrz@<70{`SZ&jy-I z6Q>_8EQ1rP2?KJ=e7n}M|K*3O%U^}THQ1NehkHFQgD!c~^VifpN;X%B7J8#G_$^Uf zwYq9s*!tuRt=8p@WllniP%8!y_bV@}q$ zI`PGf0TUf2I6&oyRJU;nyz4ZVfayg8+lXf8+!i$zvEguKU>8(Lbz1qBij{;CX((tjrd@7 zavWU-apX$rPfOjFZVX8|U?%0nM9{UCihs?IsD@j# zkM3`(wo$Kz(($mCwSFc0BBI;tsV4H$fvU2eqKM3Bak+Jw{dmV9Pc^z~aGE^ns0ufn z9qVFm<&ttOIWq3+{6UreB3ly2xFv96mdAgwqkQ1wKg5v%wR0?-_b@2k;P`SJe8xHZ zo*C?#x#yPw4Km|!7^3(m3620CH;ECcWq*J1c*8XFbX8><@;pCU9j}EGD)K&xYJJd&wU~Q7m%262h%u8yI zROT`(c8-5UtDw##j`#pvL5qXf8Bx0JRPw5mX3erd4`5vOzG3UBsQZNjaFs$O6h;}> ziIBZy>OxYhYdShsU5b$K>V|lK2mAhhW^h7R)%8B}e!;dRZs;{sOz_>?OCj zW#>;_0+D&q6)61BbpqD+gq%HJbcT;YP(JKrbu(_hmT%~S^WM$q) z(JuV1t3t$hIpa`245<=+)|4^w&;mg=PC zgOkgV@H&tH9qLEMS`pb&Uayhcu|=GyoE7^=Q#M9D%vyLaD;()u(@o+Crn`Q8R`)l& zI#E4;(g$CU?Tf8ScKUW$cTrIq122Rm!k~Qi=DA`3 z#nAcIzRKvzAryA`2?MD>0t1_ql$AOtse}HT#S94dm3?eYXMVDi6f6j>slBCAJ058o z$0~TKK+QqJ$#J5HdJ!a6uQ*i6`Q0##JtDIEWng%i8tj(`_&-QT@wC%_8DRIY2gB~>~U7&JF9gx)6o4|i;qy!Zl1Tut(xtK6;AkS zFGIDkz35*;n^$MYk>TM`Pug=}T37Wq9=n;XCEZe@W$i8lXQG@+E;vltM@i7mJzdWe z6x@Ta!VRo*u+?2u83%>8xRN7E?L*#1?n4DC{2sqgW3f`?z4&modLSv@(N`H*A_iWx zgj^w_$YygX<-&d1NNKOQJBrX+lS^-wj7%QB&eBzBNm8)-sib91N>}_RySb6g(Rv0L z%8z=K-aLK&E&7lu>xawTZ2@Pfl?B)8Ejp$Gh3Ws`T6ff|&VEif`FP~qG|B6o-Tx?j zKT~34P5uZ`LD2*4*;15ORCr^5zcvY&V5ZPj)ss;ag zL1f&fu*3Ij10H+u*YaA}TDv9WqD*CAeMt$qnyKKcub?k^MZs?720oIG-*Z)OshzE! zd0z24PT;=;7;`?<-}gAJ8TK7-G~96PRu6V_Po#35xm%pd!*H`?AJO_vF&DvAt)Y7W8!_la5y)&QZL?qgpOGAb!m z)-BPdWxm=g_i~O$DBuF^hbZvB$v7)S%KAXyW(Qn-Vnq2XaemU3^) zlAo9N#NQa&ePeiMgb>#@%bc`Q_=a2G4L^coA?mf(QmTMm9-mFN;SsZykI;`1)X%4L zm51SSdFaU~tSPh$eFg+3;b7iZgqJ-et4L-1lBPJ)tk~9EYqiYz!-8xU&hGz@v!zJ@DVypG zIQHG&B*!9W?(p0B=0CL95jk?nsf#M&1m|R(IKSbd*xM3QK01@V+j>vZBQ#Fw${DML za|p`lAcl|`v^bs+@^f}o?>3w2tF8~zds{GGRKqZ*D40-Sx+sm~jyMeBv?MW)_oVpM zHnc(^_FgI5>qW7@pS6KARt=d)tV5-FUh<0`*~Hqc(2JvT$clYNVkw{S!Fy9P zKNbUlTxfL^jT_qm@`EUW4!htrT&rv+?AC5o;rUGA4CI-`MC4PPLW0F8c$6k@i_cnB z9<0rfUy-7*TcaIDTlA?l{{e@LlRoh%!QF%;5r_W?P(yAoC)FQ-4c1~0wxCsZFSp2g z#$$Gtdo1=UA*>ze;hx@xf7Kzna>ua2nTbZ0n-qHs1e@1LuMhOF9AXE0v`;Kk7R-0v zVRP1KJS>yJ7j|(du{^EoHgBtXOODjh&Idb3k%7&@1tj%*!nx~ZBW@Zy=Y{n)n?p)rt)p*J1+|AmuVdLg&dX&QQN zt*ODO-NS>wW74rvvYHusG5>CzzmW}P(}|n5*(5b|G*X@yCx0Gck^aT@GG1j+X`D3*JUG9`fBvh9tNBOh&pq&w=c%kJP)B^5t-81%iKU5P z@|jR|T)_+q=3Rd(k^^NbAjgu1AZ>JDEPo5_$r#gCrc1C)IESQuN_M=%Pr8XnYj{a$ zI{6Hfg={dSCbnQS&kB5ngugy{?W=ZXHYA8IFEXM==KPIM3<#mc@L=vervitBtq@rC z))h#bumgK_d5+U|raZ z>(6kcabi!hO~JxUDVtf3^=9DpoM9uravyd?oft zcR0e2i(n9{B^__!u_oscd`&ZLI@I~`w}3c7R$s`U)@I3CA!N z<_>VIgzIEr+`G)(Px*Vc{@t2o4!)^_O1UI(FYYRwL@pccSi;^Iv%2kR>(~OoW>KXW z)o2BSg%>m-$*XgZUK#h;e?>`O-T|Fra<|LtEO{TBM-e_c2Z)GIk8Jnk@S zAXY7u7ks|)5P;IVsYxXP1!=0y@MIJXXK$Xa1ICoco)OK?PU>giN zcPo2IWBBBL?F2fO`aYI9O1l8qtmn)4&0I6y7?sl?uR9MkrE~uhl0hR*=usaX&3v6j zne~ciwn2uJ!S8h-3bE3^44k&EEBUjmC>O5gGCwC^5}F_(U~9eI_9l9{N-DO z7BSvLx+~m^ycI4%drQ!wW1|W{S=NW2`EbdG(JoKoyRSgT_)~Jm90X4{?3aS2tx>=A zTVEy3#wc8PdHS>{)04<_IM<&_;cFVP~)f@ZHnr zsv&lzZ{X0N#o=R4ykg^#AW~%9>VK$b)s)&CBL9UF0_~XCQnf-V24L`N z&%oMjqxMY9hddPI7c+M==3m0Gx4cJgpvlTm4N|GtD5oYD5B^$&-%3yTLaZK7UUSol zznO2}drR0P)OTGV#*LGRGej4?7pD(1-!LTk;a5pzjb=I>JxtuEc^?`<@O+qk&fGUVVJK-(KRI4e^;-m}6sm~o$Qb=EOikMlr!Elx9 zn7l9@NQQCd^!QBEe+f}?F6e}mB|-SnU7n!IZF<}@Xy5P_j=xm~b@K}+V$DUI<`7lS zkZtQQY_|#gu-&B}jT2J4yaD;y1(ls`5PRnmV9RP|WSma*ZNcZ(JZtS9dd}eJ{035D>phXwlw3}a{1+ykA zj(z4g?-^-a>T*;s5`zb)qA>dCwbDG(4&zQhDNmytdABS;vPlQj%nst}{iC5w1&RDO zx`5Cb9Q3f_RmM@Y^)y_tPDCI^LlK3V4@8zsAdFVR*w@OB{edxWD| zeuO1$m#t}d7i{q&3Zh!Ar)nk6Vw($=vnA;e)dulE2w^~yfwp~2e78uaY<4oR zQtioi%?~L3GaCroJhl}xLOMs&XQv(KRO^6RgDV$YgKB&T>StX7+NCNa7p)F3+R

  • 0MZ%#9cTfR)6unx{pyfp_jZRjV^c749%yWrJu7+h zb!85JN@Z~r>8!wW@qHs#4LVEnb5B)Nq(c2FI_UD0R=$WSF@wJWbe5{HsXtK>Qw~q& zZQ#UK>&A85Tk&@LMgHwh6)NV<~}5RMZ1MD`y`{(kh-kHvm1_IhV&d&qmTXdb=rWxwO=w2Ea?kx^EhA6 z+_7xGte){6iu-XV;-o$2BP9;M6`w{_@L%E{9mdX*(Gm9f^S%3bnjc{D1K?DoKcGb@ zISNW8`jP{Nw$AQcB?CT@!DP7MW9R$r>)BO+(%V;O3eo#&RqqlI%f0Jw0Jiwo9fp2| z4J{99s-Q0M#=1S!swF6|NVBfTNi5YY1btvd5yvojrFmv>&_MIj4eXK4Ndm;`x`Jr01^fNBT74|X}o22SgVn?XCflZbCOb#-oPAXYM*)XzWUbj*{ghCnevI`$V z$E|z2t{HiMwaDtF@2`>e?>c1PuHwwiLW2uqa9Y-MZ|}Y`F*C~1`>U*~LVwIjwyuNm5mQWDG|5zGW+X84QH15%^MX! zulp%b?{#|rh;RxNQ6P}Z5;sGtuoLIg4}(y^?EkTWYF>}0?A|B^AX=|5epPG zz$^qTP_LuRE-CRNN%%8566a$ec014=DVm?`l=a5;$LgE-$ER-r>0)V=%Qa9R&ir2`O~Prue6ch?CK)i3T)!S^w4I&c?d)wyNFAow+&8=ke4OIY z2qk>XK9@fFkn0<=SWbwkt~0xQJZFXA?YDPAWY_QJAz{5RDcGGa7UOr-z(v87NCA&+C z^CQgV+wqG+^|F2%M}q#W-G?luO4BzOwM9LvpNmeajXaqZ7$B5$I+D^D`~j@wVGo%S z!`K&Yl-q3|75Stzi8s?5XcL)Lz-`d09u)Gee)L;aE z_+^)$ve+KfywD|6CTcOq-bbVU^MCIxa}PW{gDa>N?Lw;6ck;=Va6AHKsOe~YJK?9n zb6T799&7zT%+!S_hO|LM^@l5)NRDzZo;UxCe{Qr`cHYrTp^L%mKpHQFpWttwbshFL z-BbOiGf>p(;*-}3CKz)&0;HFrq_Flb|{YZJ86Cn>_VtUSg_T_D~E?o-E(R)eb zFX=aiz`{UBePyPAi%~p--5vDw=>|GXS#;d(lML;S_N?iEb-8cg1sOv}uv|p6gQeyj z@HW?RccQZm{_=55L7bU^L}5Ab3GJwl*SUAhOT2tzsP{N(O> zH7D+0LXZ~^%wX#ZX#pV8hfmFpdOvA7us~p-1e{V~Pp>3EsY#qISkRVD8l&Aq6W4WHk#9LpL~+KteG}lD%9zetI1HmmtMkL_CTrw{Y=hunjm|c!|;`yML83)IR!x*Dst!q7jHN z#qq4F-36Zk-3?)9cu3VJJ@D-q_7aiLUQ3kc$E3S`V{lSXm!`T21)JYJc>x@33*yWq z{WU#$4o60@F#_Y<=D{7x#AphlKN56AI0+6->yZN87U$&cTmE?=k&JB6@z;VTCW6O| zz^~+TLKR4Rvh7bPPU&vz|7Zg5B5?yE?B!P-B~?GiygwG$O~v{8BRO z<7O~lIh;wf&9%5?l81C&XTvD%xmi)~C$R8YwztB1#AmeC0vcWWLM>_FYsme;LWdAV z6*1{-t9#yS>TdeUeHu2Ntdozu@sN8qadivOt&`h2=25NrTVZg!zjbW;Z4UHB2xd+z z85hc|@?yL{PxskXdD9K@2qVC5TwWlHLd2cjq3K@F7Ye64jIY)&8G4mBpvLzeKwA^x z?vWK=^maWYY;p5ou6O;A2GGP&Cu_-O^v^&56I$QmY)!%~LQ=SDk9i`JXwwic

    3p zz`w_dS>ASpu}e$GygGqjT&{*z9cN5>y;BB-;T{Pwvr!JL~JpiOfYim&BQO^ce{!nfzY?zi68n(4OkF< z1c%@Q!Ar^#a?d~sMnAFj3?nI3729sQm5e{=t&#GX1tRaStj-1g;3vCtGK*T2b6g12 zO)`Ex{@mxif%@&#JZ%)B-n~J1HfFx1=v=-d?+78KGx`n^JFd>V z4Vos6cN0%Xo7Gx$Fbfy|XwYzuB&6MScqlQu>jkbxS~GG|*hTOW{J8R7ZB=#u*q$-s zHvBdeVZ*F`RKveT*s{ma*X)i# zk96-0GwnEv{z(SsNA<+k!8~HnIT##U=VB*Ln>R!=7s$h89%&41f^p^?116q5*WcQ+ zc}`IE`70%zJzdN(^=OB2Mq})Ao15bs*u_v0D8YYIa|i@!((1h(#&)bQQ?C<_=);`= zM(|Kgg7%Ob9t@#lmG`2Ql+%URkscs)!kuM~lDin?aN?{K2A`GAQG{8CkEd-`1GQde zPjA&=W>pCt^RAsC*N&<6_9M4Zl7b|$qFVK>PT4@C6xA_oWwEe$Zm|Q=I&#g1$E5hcn;gA z^IU)?=oM2Z!Lrm?9Pww_qYu9Oc{U{kkFagjsUH2GNFUe;HPc3 z)%@7-BS(cpmAg#WaPivadDpAA@mu$T-3LV>g`ZbG_X(1xH{1b2_IG7$=N9FahqCW_ zt=npBU|c3YuXa0LRQ_%*ECiHXhw3WuO`se}|TV zOyMxA?x*+igp9wzRn_>5idwl%cta}ycBMI}f>D7L(~#^gBPYU*YR!any~zBdoCOG~ z0?7v);fIf5V0jfc<_n<%Y%0+?jS%erG4a(m*@^r=^qDl$NGEaBOZoj$#5pkG( z!{-5)6AQs2DAKfJK+Vv*X~9uweJQ|?nngc7?-9n@-@=t6;ZIcR7rWVoKmNw&HUmNSIgiK>!h^d%x z&s$ljsMqsyfl&+fUg8y?NTgHv{g5cCR|;T4!k8AwoCp)W_>rkP`L+8iApd2@fH^J3 z{;2w7-2p0@|2eNkG{p_?v`ky)3bOJ7V$?N(8mYYJWq90<6xeXJ>N@pDvks-wBLQ77 z?_q7U>v5!OEL*~?h2IVqfBLwFTcwJ?8t5yoa8K-5qj~uN_(z=rA7iN4l#3`qvdF&fuB=mIcxgaZ$9AMg?KT zPp1;^WVdbENzy%)H?+><;@@A>oY$oPmb~EL;1n-fxYNFEKea1C{Rt)Q&BGRaOtw4H zo=R5SN$PtjJD!XAFr#Tus~PARlu++42L#fgQzZUTvgrsJa}hCR?(#ex@MTx6N%0&f zZEDWhcn@YKRw{rn@137?)cDW4V{@mgP5uxY4L;LF1x7LEe&mzcTw?kk1_w{^t6V=+ zVNxl3?id8BEQCqs_Bm`XSk&2HXFEM|crCyjezzeGRi5*jQy^Iz44wJ_8tEQx!VBds zdE0Z*@;>yT)jnkFL`=prLdv$VOLTP8YpmN^-6F0JcX;;k8tRx_?*+$AiuI6y^Owva*858 z{|h;)2v$Gre%ol48MCU@yocGKUnjxE>IRNNhV)Fq0O zqMGnZIp{@26MLd(mxHDia^|jJ6p2+llXroDKVq zO0vRx4u||kEK{p|yii?}Ln(K#?BrnexTE)K`OgQU^S3R^J#2qp<{{?IC>k5ypt{i|kWJhK7mllRq32A~n#+4N}S88T`Omd_2bz|B1B8#&}2 z#83u8wdr-baudQI3J|6NWFid(gV#5ydKTt8WeMkG`+eUyP!-7UrDE=aDHVT41fkbx ze*>?t9uJ*YY(nEn@IUMJ#RNX$4?cQH-W6yqi_%ef*tvUcH z07WZN7=QJlcL1umV917X>SF-_zTMC#q{79Rw2z*Jq5ly8b*5dF6N`>@7-yZOl`IWZ zqiorlwhoxD$hEW-EpEe3q`|~SkeSq?Y+(^=s7a+?aBU*&7^hWCl})+K&^T{o(e&1NoQzPg#tn>C zlzhN10lA1Fu`=sjo4l#@+?v!W{LFs8FIjgXC-=f&fLuN-R}$xNU`3rOQ-ibO<5-)` z*xiuItnh-0T-7+r&%GB1RMayH-9iD#otT3xYd*b&|Fe;h_h$e!H1+{DKes38X9*T08Hh68XxHSCLqgN#aj2V zCLP}xjlXkcr{XAEOHtGZmM&;0FOy_T25Hg?GTa@osS0wGz`1we8IH_^<-H~ z;%)yW%zK%lqYfFo9Nv3#Xkbq{Y1350-hoqP%3@ory#vBU31>=6)XtC5#1)uE`W%Q) ziTt0_)r}{!1lsRqME=nB+>%9sz7$1?y!f1yTj&aOmIskej)N`7q2|UPOvMgw7b@z6 zQ_sq{U$};O&7?NVAY)^@-}U09S`~r zN&HoeoC&M8;-ouze^$R5y?{rLBSn;E%k#}n1TNWrz(ppv5pIdX{G9@t<9PfW;-ThE)l|R=dQvN z)D1<@2mwC>H3&SPu%BAhVvO9`^o>SGj^X>`RiK!g%`car;2-&uTIHHiz!Y=aDhc|oc)wqsToKImYN`s&obJI)l9uj<&zx$B4 z5NG$pfXgb(@`bpYUh@JPq;%gu`tXz0*`!!W7n3CrPZcb(W4d#Rxj1AbXkvJ8&U)5x zg`LT34*KM_WyEM%d>V?#`SAwctG2qw^K?~0+fO_Jw&l-L-~d=sib{2EGF03}#G*h{ z=j_QOu>@UkyS$e=zdWb*U}?tE7+t-SG>{&*%jnajO^hLZ2tz=|_9gdYz)bh2aKq(% zoQ3Cr$Ffulu>UzLowmc6A|}oNTu8)OXd`j6p;J`6nh8a4SrL%NKIa=l{6hm#fpoq^kv-XjWvwm&k8tc9}@wX$QrKaB`8Gy|+;VUyd7T z7+vFpSm&-q&73-3?r1ubX&fd>-})=WAGhy!OV>AlG;zI3Qit;9wD@6I>Uu6)ecc6HrZ!>V5v*WZeZjLf`)*!hELqzpNWKd`5?W&P;DiW6+{X73hiy zV>}L&Q!j+zud>c>@L>lMcq3aY=mWP^44VDXtwDt|g66YxC^{wsoZf2^w0`muj$ zHHYG6hZ6uY?*VAk?k8?kD5bw%+f3k}uE-(JmaBKPU~N4WLjll3?U7FT>;p5|6?u)3 zmZA6&p37amGBHed0dkHG-I4z}VOK>EuGtnZceKOfby{9DM$e1Y?XdAT{`rwCh>ASF zdRTXxtR@QcVPE0dMm%#IlEV`{m<;tNmKe(uNV#CZRY8qndX!&&C`%F*)nQHSiS7h(?6395KN(`7^@X z)ooin*w3bo$UGqCE*^+ZIXNG zA7!KwT-YLWG`8~b4J@fYBajSV(9FCjFyH_oIqR2~>mU#o8cATD3*>m~{Ijv#j+ti$ zUAq}|Zbr^^ zDs{r;qu zl(z;B7!$KH6G}ViCpH_e${!57W3xZBS%$o5V=;CHMo8iUB^CeMrDwQT|e)2lXwv&J4j$Qr7wIIb3 zRgql!U1tSFXA73@+2X!qJ=C16r}#KnM*pYrN}m%}IeLGdlX!w%vBic{m)0UXsr_-T zT6?I*3$K}Vo1eT&Nxg?73d#mS3mC=2dL5>KPfRyAknb=XI3;WErig;jR@4@tD+qc; z#Oj1!d~}P58|Fp3btUCmS33H7cmggoWXde{suBO~Z|G)&&dp)H(*;>56vjMME|RQ zl^<3Mcl>a{ZMqQP7x-le<>UmooPfQt?Q#Da!$j5`V#JL&qD|g}es{n&Cbw{IR4BNkTBeNwH`^LVw0$wSX81FsZXS_eZxnF48a@qob zAQ7jF(~a^THGAEyk-+)t%S}*cG>*~5s*!lzQ!$)LuNp&W_A^ZS>_@3d#gCD0jEM)r z!sco^CvsNAzX!V5j>FE)Xs1=+qoh7BE~2aFMT6h&YOmYl$u3ScH^-wLT*smcm?5`w7)5yATxCK|w)7)KlO`*oKH=X#va zZytD{cJzrLWjJkCbVJ9>^eqYGN#<+g`{@5{i+{84Y=KpFbRp!8wzGcboS$WDv?rO$ zqW@;FzhOR->VbIO-hTK2{7yL`1kbtjpRI0D?#O?+p4~`nzyDGtGHYN>TAOa1`=hKK;z~U_{He zi*f^fA0^GjZ76gJPO?}6v(%}c>hsl&x>+N`x=E)r#9CCeA5qA zMDJ>M^d&bxpWR^`Gk1K=cFTB|{pWkkG9pYeinlA_`jzac-uGWzxWd&n0dXf< zAlSjVI_d*w>qyWc<>p4Gu7MXZ$}5rvsGLd249TL(8ef-}`IrfOgq7&0>-XIUhivvY zMT}CNGXsXhBo=%T<&>5}JgzmN?_#_;8!ID(ja;C;ozm4apZc0t;2H}54i*VqDCQjA z3?=o_^t_MBYck1!yo%r!v;L&PfUonVSR6-}(02s5E5xTRy2cv(4d$ly-qap(0Vm&a znZDjTeP$dY9v806&S!PnqgCgm3SzZc={9gIp8qa0EZfG>*YaSMDnCv*5dD95CjIoJ z_`eU!uw>3N-oixvjQO?xVo2ryu2w3sfa_`jx8r--1?A9CnQoD7PS-sd6JMcUTjn38kD{VrH4nw|fa~0IQ@0d5% zZD%)}KXN*%^oc_OAl?_j=k&S*xE(F+#n`+<5n|6$(vN186m(NSNfuK#scGTlP8c2Zt z)c8Q%(`#kd`y?_XXM-JFijy?vTD}BIp*Sgi5xX-)b8|8f!w-J=boI@Qp!Qvon|Z@e z?5@T{oFT+6YQdRpW|mn^tKV0KxAEM$T4b0o8%RpwRHWyC^#XPg9b2@j<(|wQyv0dR zqNmfd^<2570E8Ul&*h^p1aZ1PxHUjdYn%P;?(7z=5){@sV)7N0H)!1@E&cv zMW3Zyl0)e5GkU)bT*`eH)lUMHzw>VXyvwMPSKIxK~ruR6@W1pEOG&liW=vcIBSKI6bH30R*h zVV*9l$*0be%Lk5NnYKhG@KR@xrTA;~ONB+&i0`7$f0*pqIG(F@o}&vO&@l5CHg|D8 zo-B%yz9=wT^Umw5IbLJCGPixc1{TB}fK{;!<|sUW;z4E*=2N)%b0AMGS6!|^ANZP= zqfcOyHz$f6T9`O1VCE#RxwPXM8jejhM1x{Ot-APWlqtIaLu%J_Ez=Ro_Uy}#KU_6K zyg;M~G^$x{pO5Y$C*%Foc_)X0O^{X(=O_A zS{9Yfl;_diR8R;VNEf%=X@G|5B&ZAFnwbvwWwJ z3Iad?dx1>BC}HucN4I7XE;*l(!I=((>T?Lng`^|-Mb^EA$QSJduZVblm<>IWl?zSe zDIO#$G)_%Rn?S7gbhQl~P$?7_ly2cDm4N zC#e5D=t;0V*baN}Gsvv!K>LkdJ2irWCBN4@(FE0Pl0fJ%JksveaPFe20w|~CX{4Jt zrxA&`uzAVaa)4AZ=bn~3Jen1{drfB}IA zq}8yp_({S!ZG2U%&UMY-o23rxQ;1u}SHf4dA1})A&e+skiT9=EIZNm52`l8Sk?Mb-eC&^wT9IXF#kx8i++s6)RMT5VUT#DiA&V*>TY%gf4^F0#0Y+i-rJOJFwgT@911Gh7+w*O7-iUQe7d}d+GtJx{p4=V(y^=ZHWd2K&b}orw4Tp9{q73dAcd^PqJhLPvY!8PzMi*jw z?SlaKM4C0K0+T0=?axPL>_;J3TUU_Y>ZS$`if?eLP6<@O3NOV?r)#d%oB%Tds?ROlvvdRIk@#rR2g$_hF85}_}XUU#Q4g#jDI|e@8_S^<>7*d z#Uh4+bY^CV@qtj{%zSR;hQ2)^FZf;EK{euW1zj_`aKlrK6PsH$HQAMgZ1}DVST=Nl zPHEeP-6AA@BJK<>rbGtaztHTW!6#N=vbK_-FGn+ZYQzimW z0{&+y1R|TzU%i(%ye%hI!151Zy(dYZ1rn{{49RBCxk3bc9&XSTh>!LU4t*3#{Qbhr zuz1ZwJGu|kd0Uce4tmum^M&k3IcZ0sQ&-f3qQe-}os zdgcNVooE=j?V0#~J~ZOzIWi^n&=1hNdTbv>2l)tZFvHvIrft?h#N{#hNja=Z5(-uG zyIknE6|c<7#NKA9uX8SdGguk5QwpsmN}J7OC$#O`7aF3aM=H3G|LWc1s515bkd#4X9Td z`L^Z;mRoGn^+4vNE>nx!@-R<%A9%ALA)FmtuMHnfA#G?i9_B)R63l6s`@mqW-rIOT zo2P})%-Bm8^6DT9>9F`oPpWcd6T#|4tI)@0}VODlM&rKtlg-QB7d5xeONgS=<`)(_Vv`epb>oxEl0C|0}DP zYJD_61|PbMWWqc3fvBh?#t(&M0_U*DH$16j*=t5CWRjv+=qK|$O)TRf!QE~3`pTQW z;Sax1%VAXi&mxLq-(qy}1(n!)NmGQps9*OesTlT7moZt7#9iILgd4=~a5kBKc$K{N zjM{=SD+au5C9j&e+32e`pBi8Ljro$GK8;3ZMZHy9j9^B)$SPQo&Yv1N!z8V4VEZ_aumhWO2T}qN_;o=6tcSp<71MbD7-YKSwAon>fLyWmgv!$xR93 z#A|_WH5FA^8@+~wer6UR->S9c0_P~Uf@hn~;WKvp@4aQp>URI&A^k^bXO43+rg$TC=CvZ9GZmd(bMMl#oKB?c0 zHQ*ShEH!zAcfFbq{Mdp8Ibl~~iMMPuhwcKN4D4BG(WTI1Hgdr!^XyJ^PL&nyOxc8A z2zyhFKlenI3t(+{Zvr*fJ|w$UhSH$Fz*C8rb;SlQw3&+6S+FPF$rg}24wMS}BN*c& zaALN;PJONQ8T9C5^KIXx=IbR}UNv~?pc6sF7Uf5O3y@X>5snfWgtbh?z0A2--j1t; z+RvZlw=%2zl!qCarbN)0{ReE3IHicyGlPRCE>PO8BXM7D>@K|UJ6|9y#^2DJIZ7CP-m@B5CAIL#i9J5koX%_V9Z-U* z!%dxv2Qxai$+8ECaD*J2MO#FT01 zOp`i{%k4-Ox}>JDBTY!A88K|Rpb{c}?5_;^9|pm@4uw^xM^HwFw>x{JGv_`dKGx$2OZ}Y;2<%$<-L@uVN;;g z3;pMUDKU({1+5Y2*#U9Nr|(}bb%=VA+l`)fSqi{pU6_+y*2PCXta1=O3|uTZ9DbCQ z+8U6@>yo$de`O|vDb?v!{k#%jk4|7oD|m2%C>xGvnLbN z&Ha7B1ki3UqBf^5;u`gXe-x-B@|zp5VMJ-V`~~PC&(Q}`5kF?oz4Rfq9(&sTpSN&W zco_THWwqprF~nT0Y64n^=fLwWH_L}e@^qe3@16=99;#D-pO(NQgF<^IDSi0~%NR!I zK=3Yr#DKqf>=Sa1UsU+Q9t=#NdUKc2$S`-GS9?kA2rK-^(dw|CdS52xvAK)ZMpu64 zrVH*UO4dD?vWv$o2w4qT%lU5ic1q)IR)#?Je;0C*PYU)UW1E-fk8G z|E4*WD37SOi+F%ETB&O4<=VODHxH$JiC&;kEIyO|Wy=C_-=#B3KFV!Wn<`tg)gp|7`NsCL=EHeje3pZ6S385EJ*?U1~@?JJzgVXTm-(c1HzQ{{0(*w3H< zwkMBS6!9?+ioToOB*I}V^#%(oD(J3V_B|X+8yJXW@Jn9=5QyNNSxdzEIF`nij8b)EJS1PX>9LcJ!(J#-VspKXxrP5!oGyL zV}xR}c%8vp*T*{pFQ^oILMJOa`cK3t@s*I78dijr74Wcd-D{!r&8L|gAA8|xff9B- z*pNDM6JZg8OVN{{a*!Ux^q~G2NWX;T%|BSwF0+Gd3)!EVgI#D{6w=6hTcHvm1tAk7 zO$JF}ep&4bM^qz4l6!<)7~$u$0uI@`N5RMjHXsK# z6LBY{32;$){_Zkg^Sx%jhU{~j9)cuxx4_Bsp1&d7YH{}Li1_{hLc~~wRF>OnM%&H%y$PV$(37|L>15@X=obda*Bv}@G^ceHakxSKlU1fV0noSOpn&(=bHTrol!zrVt zFXby~xa45HO(xPtR0l=9Qtd0%Grje?yBja5uAM-`cu^Dy^-VYj7C>SCB~r(wS*JIWP7*+PlwU_1~C!F z$VB8dQzKO533Ob5qd^sF-5ZLn^YjLeRVr*EXxU-&1YK4M_xRihs{9C!m{N9i zKqR`qxn*Ltv*l@e8P>{%{~8^W3HB2-%joYCqb}lNJ{?sG&9nZ9URudlEOH?D;d%nh zT;)Zi1`!U8gk({sfw>8mMbD!#9@4!lLhhVEuaSlU1JLywWZe3dS~jlJN=q28VbYpc z_?2XwO6ES4cR&J?JZsIAUz2+>dhixqzOszCJ@vA5nR=>>w42xiwU45%7W4>t!GEH2 zsmG1hl@BWfAy9_tz(fy+1I^{lWJU*~teSu+*@Po)Hc4(1<7t^ z;d1`yHlS0`_JHkPy|amOdf1;wk_r)XJJRM~R*qqyWw{JfpgZQ7 zuLJ@3ASp6Qoj~sTG4gS>eCU-_DP)yZlh#`cF1^BsBSR*!2*SJqUP3#^N(az)RvVGY z8UwI3(^DSVSS!p}xSwpLUNR(52!n2N{xWz@9d9FR^E%003nDq*Svo0_x`i|ZNnJ=K z{P00kP^NGU7xMQ_)|2Md7exMUf|n9$L{!EzLy}dB5=rg0zLTsINCi=?GhfcVl@n%u zfQgo0B|PEV|MZpQR)f?bz`r%L#QEdRbcV81c_$)75$#$AZyptru@l60L@o3ty;(!* zvQ%UCX*N{9RK7kKlrMFjeFjUTPq@@lX_~2H!bu4TQhIe|PGZ44lbS0IEQ=Q-}=ftD8Cc3?D9))-`%i6*kA20en$Ka&*qAMK`UdYX;OnnOh2T@DBBh0i+|7q;&$XjX5-)trT2(%Ft% zAZtih)%zTFaVFaEQFu9TsP&wn+>4hc>S33Jiu(|t5=ihxa4fY9c5O~4J?oecl-NFx z)A2+E;lh`Qo&oEtQ0%u0YZPn%chkivI*HyPO5JD8tKagz6Thh|LxQo}L6o4%^GIqG z*b}&#*Kxox@@SozmhC8WXK`fY6Dlck8yuOwdoZoJ#D!VGcc6RxuN*^g--JGHUAa`W zkc5R5Kolx?0kvni|c2ve~l7Fmt3tAbsLf>dHY_TqML)4FPAX$>UyHwG38Xu?bdZ2{e zKK_WNAq0FfIJY12C;2@9vWaQ?hnXmG*RUSro{ivD9uNCBuZzk_mp z73OI$3$zeP%1R>A?3g9qjAT%xNxginWT;9y8MR)|=YF7mm*p!z9Vf5VvqvP1KctJr313(nSsx_(YsND9!LbDl~1ZA%Z?oz8&?fMj^(#j3`>fl zOS9ioWA3ihLD@Yyp%NH!DbMzj4t6F}gPa~zJcMTIa}e6dpY1~>U@kv{XzP(Fa+Q(Y zS>d#*v7tl(Zx?BIqXu4{dG{|o?-S59EE2sk)Co z&#`K~bs~FU9Kae%ke#uDf7wZFl?DbPR3R+hN;Dhd7%s_y+gkfgmyYk?0aJUZ>%5?A z^1fYz%@`Lp0o?9pAy@oOoA8dbg^|LpcPjqaxPyd$5ONA#X9x9NlHl@;gwT+o>y%K+5mMX&ritTvQtTh31-5vaqzs%+;9YI@RWHI#v~-{X z&eZ|K7t*w)u8fe4c_Un9b~=i{p~E(Wceq4F1zp445AQ|*ffO|DcQb~MiOloqr%*gX zz-h4QqLR6()5QR2lZse^LVQ44kyP3zVaYBM_nh4KlET#{qxWqj+YWMdQAQEGp*`+X zZ-~n>-k};fya%w_fxo2^y25=+k$r^*hu@W@byIFDPhZ8iK-uJE&8s7B3D6wfg*8*k zU&l7wa5_-e_X-}ej*SR)bE#E#E`m+YB8vp&jNnxl>iX(>IF7_6RM5OlpwxM0zMNkq z7|Eh(0{dQVae^(F7i6Lw5&(9r+yZNTLsUyIS*)+^z-Q{AFfV`L=9_4vKkVU~K1+QI zj!^~rhX`o($Mc zel?cgudL^{K{d6cLDp!q((yQ8)u+G8*%Erp`>)J zRqD5HDCFkF!ts)#DFV%Qfkrrhx09S-m<_AcRK`d}+Gjx`g8?Tq%q_-$+Api}U?a zaC9*_70_(x`=2VT`N6^V(jobco}eXL4EWrtm@>T@J&x|c&@dP#@GHr__);r^&hJ@C zacw_8jdU^n94ND9hc6;mg6=hvBW8g>AnNIpjli@YNB}eUm&;Yj>pSbfEGne0T~jij z+1Lt$i=7}ydfo*m>=^M!!lb!o@TK{!+<|?|sqZ=de;uRsRDE;vvG#ZKT_xJpA3u~s zzswvGE}v{zWB6gqoQ*5c3H$vSZbvL*mI^f|^e*3gi0&!Z9f``tdm61pp7WtfGxzw>^h+jx! zupky%bU5WdKMbii=`+jIbcw1*ZvJ_bV~foA6Z1tN&KS6p z?7R@oxAtz^II<%CZK|*!T?pf^A7+L8_qn{-&tQwVU~UeAC~%!y61wA3 zo^HmR9xqm^?C?c?KR-y=S~|@7sXLr>V)YH{lqg0!XoS?MS+3>wW`I`x!K=p~s=!}o zoUEBH0f7bi>6$5j@c%fpbX#QEJw+}S)+1KPx%%$?`M5+TJ|VklAvT1LGS)5q-(@a= zs#zxDsyDv)YdgSy_@~MwWR9&8P{f-Q%%vM+^ zPbYa?YT~sa9Z%qm4K@!B4bxS#VHF6z0Ec?f`FifY6m=>!G#^$GKgI-6E8FoDIX$(vU2azktq7J@GjL<3F#S+Kpz*i{aw?^I}wXSoZWh>XON%=E1Xa z`AQ(2$%}X1JLcs%rotZ4o+}VhfJ-?(*C2bYi~DF-Ljrr%<;VH$_&+8PmZ5rfZXO*> zmBDi<43gsU7sL-}TdS%D2qH+_#i;oi!xubSnfrG+*>-#EkPgl}2b0*^=UA9r_uE%e zk0pO>&3M3>Xon|=>Ty{?#EIp1j>OR|O&o`dVGoodK%NO#nFr(*nP_K7&AAXT=!ylM z8|9|1^tV4yjd51K#UO!DcbWB1V}CautGhFklw&0;d(_#*Ou77P6YtpXrp!%3;H?Ew z#)vE?Q4gZiz$SwXCKhz*cOUnHMlg>H3-f`war<|6(9&bSw%}BF)|`L{=>~)PqePdv z6ZA%mdrWVyf_md*mI}KLd)fSV{E-+mLF|3MubJj4?@0a9^g)vzd3nz7{J}HI0))e` zLwe=xQ7zb8#@fgV#`0xPPO*=OHlkrZTi|=W00t8kZa(wk$N_Ob1u3{Dg&JWK`niy5 zUw0w#E9u|;eZ)}h%B4#^Dr@vTon3Cx^aYMKX;q;?Q z*&zh}(xbd0Uzs3pyZOJ-izKS@$;MP@na$(Yo+-NGQIWCqU@**8HCk+Av^G?|O>%as zc(hHtuBrErpo)h8@k8M0L!-+9x8PvqJ_-I?;E&37LfZtV5i|g%sCrx7xy` z8Gfg2_kwc_fM^fA;U*Wfw7;q({g$%^SvKQh}`db5ty{#wZ}&vF&Z@0*dYcr&A+V%FjEh2#+DrLIWuH ze1}h{YELTzeXiK7uON@%#9x7%F4zJj(HCve5w>7eQc1>!=bF}Z2^Ut9QN zY@@;q)8R2euO?}SeX_kS0vc4_HX<_OxcjtP%d${3Y3)hKy{s5Xk1oY*B;!MZNH7^V zM)=@&x8U+L!JS}fCt#MaW^b!TwhueRkwPP6In0eK;?@S;fL{ei5Swi=T&a~z2#wQ8 z{<{Y@P)}t#eI+?8Mh7r#=T*Ne$ia!l*|WTlyk;288m? z;Mmc?>#Nx05%^u5Ffn3~;CDXdva@yN?o;i?{=E*4Lj5Hu56(xjwA2d(NuxD?!t)^0 zPvM=)Gi%{^v$_hR=BUny2=}S)PSeMk-`aE?ebu8u6s?z!PLQ)GJAk9V0jtZw_8f>B z)b|NM3x<-1SAj+7AkB5HN7sUF9KwSpWlxxq`&Ho14RbbO4@8F^`r`x$9z6s$x16ff z=IFdA-wA1FqVuAjinbT;V%FrQtZ^FQjE$*i=N&^t%9`xyJTNz4TYH>}+ixQ0)v2yI z#e1hz+Ts)__KY9z=vtLPw)5~&^1c_v3Si>3kVZW4#l)}LT zF$snxe6W4lyS%D?PSKqJCn12y5hj}Pp@dK2)W4VMvgbePZ4j_)t=^_Ed9Bp?hQO%Y zapBWL(HmSAFgG)!e#zRy8M=oHI1GKea$&pHRDR=T_BXO$=ld*4#REnGd_bZ09UD;5 z3$=z#J?FPOfy}G}U-G%+rcP|Pwy#z)Hi&XWK24z{2yLr@ff&#blE+%(Mvw9YTFG&X<61#DXQu z`yh?&UE&TCEiA^jf+4{LFs^5wI<0(?%RCwXR>_5bMyNvLPoyEu#bxf(9vrd?)ev=k z8uQSVv+~3m@|cRUU55f3eJ5U7)_q!WPnmOtEQTHw{kw_33u{GKnn9u0!qq5znolYYYM>Kri)!Hj3 z;4tOW^F-!iyYMyBViHC5%5S$lt;loaLPea+lqj@WB#5SY)3IQiNPR#<{0OLJ6>bI! zsK~Ph_2z;YH%|9SYyJSr9~ePaXkemz$|EOkDcfOfWZRF(L=}-~UBIT(>K2l26zoZ` zHhqU3)=iKH$o<3}DR+q!T#60Uhxc9ortqS;ynFx@(a<{R%Dawfqb$axXQxJm++`-# z+hl~ zs9tv8#*(4=th$6qM6x47E* za{w~^JKIyx5awyE7

    uR6ad`{8+E`v??C9EcslKnp<;e2Ty5edjUi6ta5i9g9Hur0m zI^{aaaJFnBIf`5OBGf$a$ceK-FX`$!hz%}?hQ#~b0Nw^`WZW5pL9Y0eIK@j-wdC%= z8q0s%ae^A>=>bTICj@qn;eYZTj8{+C#*HkBu#E9Z7!gZF-i4Mmj5MP2>NuC3V;AE6xE2@2p!Ohc zyUUegBE5q1dHfkj1J6@pACS6#3A-4hKo1_nIpNYlLe>$qr`ZU5NuLfOyNe`!ZT;f$YbLVDdx%a$D0?Zxp69ghy?)?(3KwUV!YMydvMXth+O@hLi zO`9+@Lw+W*05J%+Aa|weEv*liwnEV*dKQ}(;%%YN%DmD<2>)@TI`SfSurzyUT*ZJx zLgtV1#oThv0FdDJ5C$2;-WY+WT7{ao1(=t8=n z2Kb&t+In%jf{@M+xOQAH{!>FVN!$2-7|XSogrmkAmct^i>S&r9lZS;^MA5l%ICb%LG1|yA$^7eRe*An~Ce+k#`#O_(~J(Z&r z$Z;r@^~e^rh)3Zz}5CE7+ea83Iu6N z&6ude^Bs6Df4`?ecqHqEZu82({dvFzMaNCOy(t~)PjNzv^Mpq#^hUFmv+|W{Io3*f zqh*JcZ1zd6YJmNOzZlgUgR$5%t`id+g&5KxXxDx(psE7)67IWK31XLkXEZE@eR+F8 z&{EFr3K;i7CWfc|nY(0(%?xYm;hJA*zAsg)nwq#K$eG}B$9ZIl#Yv03z8x7o;TxP0 zuIj*_U3p2+*1LS&^>>nP4xZFV*j@FcI)}7w3pZtzC>x<^&~k&WxlC(XyEt|EiF4)K z#)4csQRbBQKz|_vR;d|>kg;B;bp$QA6LqZk_y24`6Na81;A}JQ`iF^dJ*gA!PXBFZ ziM!vc@Dn+(?a6S4i1hZTiOH_OpYW;zP2Yct5{Qgl{kHPKvxlTS@u^9}qzpzCi2Pclwh-8TKRu=w?K6>^JMXTeC948Fr#A@`l36`aI2a2aq zwu*fMh+tu49OaCSDcaG3-lJyng|O?+4$bAyox~y1yMn``#ALM^TA;g?HHSY33qb&N z0^bK3s!N1olkTZfp?Hz#Y&K}RjtF!tT@gy{FPwh$l&>+0gmW8>+*ICcLSCW*OBpxq z*0U@Y?zf=vbqEzzMv;mtQ$j2l+{sC;%8)7XW{%gnB-y04Do06b)Q4Cc1xM)rnWX$b z|6um|iGf8mx}%(MQ{k*a%e9w5tQ-A7KK%bxL)GkH>e9YG5O7|Xy4=VgMeWm}?TRcW z%pYa*fT;5dSbk2}DJgq6K+^pXg46EgWDLbNN zk$OZ0fyF^;FpNvbJj@&*qpUgkZ35?L%O|6fw_r=P8cr$KAwxZRWUk%O%Gwwm||zBBpex9|Sfv_YyrqKIL?R_6Pw&2qBP!ge)`PJ$(26bD!t_bMJHiY9CaRnfc8*?>Xl^@0-%t zrVe6vvpRh{pqI!MYl~*AGmSJ{g93nua&^%n4n_iMtKBH5Y5b$XDwUOR`o@0ak1p1F z{y^K(wY&}Fmg{8%x?BcoTw5NzNzDcnd+H-lhK1uu!S1+)q_ZETVAF%CQ0pAF*lLip zzxCR0V9)C-ri(NtUv8XaCa7%A{YvU8DVP-BYJdZlFfL*>Cy|y1TpNg5P)j3MNOHO; zoLm@o%}$TcPsmXcdfY2#y}+!9F(&JLW@LjheaE)BVRhZDme8??K&~1+H{5WmU7;}C z{R;qAjW&oZv%Z+9@_s{q^@&gGi#Uv+tg|3-*psnsQkfuMs1WKRFH2Ip&cB*w;adG7!}A2rdqLDFh1hf67|BaB7dkmP z4}_z`=-%;;KNc9*?UL7e&;KxwJU&Ms4}~R#<3xJ8Jar&&Zi(V-h~dF07O(3Ur0l9E9*^OPj@(%JD^=ujahCMwA50 zPiVwi%gKMN04sp-YXf2FAJk$41KsmxAaVI07$V(47ZZo*)&`AO2Q7kQbhgyEA=<7s zVc%Bgy+iT$aC7%-(B#fXYCED&`o6v9Z&}r9js36A}cciR-yAVP3>4zZv&Rb zsO==cRIYWzkl~`;(tZl%OBTZpFu!CI}_h&QY9KBZ?DjE{V4j>9Bf7f;A z#(_^95s#MH4&N8C+d_MVDa`*&l=xOXOWA?dru(_^&Q*N93k}L&c1-pl0p@_PF{njcV0L`(tnS% zr`OSr2M6PM>O+4kd$M@=ni-eHlV*7Kg0?4Sh6%V7u72a8MT5>Wvq(?PW%GMdU<5sb zHRr8G``=2eZ!KFD3yADmXiPMqJV8yoc^Fs_4IVM)uEorcO3E$1=ju4i$eV}CO0*i| z7G2Bd_My*$VMKySgzXH}&5%pp69Q<%wEfB@#&cP;Pk=`Yy|yi0UFen)pW+XH(uH!9 zY1*mLx)X`cKRRBso;mjQcNgpDJt;GMsLoAa{*s12?))hfU{cU={DInz>8?1xFmcTh z;yq$Stg2}$hz!bW^|1@|z0cO!0nq`5&oF`9E0zgWGbhKehCLql&zKBwt_w$Z-Cu~; zwtdt7jmtY~x%q94(eVUp%F|?gvt=OkzA1b8*Px07L7;?#y^a&M$Xj&A(VBtGaJAmV zQJ(*0xajE!@?vR~9w6MO+Aav|%QRLsHD^qg)cu$A9dk|W;+5qUpP;|y`$88jzCYzr zMQu(z=LMcwfNxfF)yQAm4@Rwx5Am#yVcpyNf^55ecyUwsnjw=ZZ!7|eMxMBSQ`7b~ zPbWJkAjuTB)!YE@Z06B`fKC+%1f+XfPi+q$_V9hkK9$m>?7>y! zF*z7Z_j8US)X)+#vL4%-Q47pbaE~gasdsI{e$}#lE)kqKAqC zprI$Eq@c?{A@6MIOPQMd02ZZd{X4O{mgm`P99>yLPyuuoP)arUdREx8sd@b`TB5f0 z7u+Uln->4o3n7$WD(F$^ZUEgQS>}9oj63rn^I)2|4OT_~q;jBZT7YjYW>CU&=XsqS z?Qn}>A5)^}kN28c5bg%C@m^*fL0P2r+!*nsXXh`Qh4>oS6zfqq$L$Pp?q5Tor%2>pA#do7e! zyS}0#0dcf~r)F(-_l7z6Up*Yt&dv$;zi}Sy;DwJKhpwD<;VSwG{wf8^v`qg8a0@k0yNdyTZwJ%>R^)kuML2%b%j3>?4ZC zeVN?<6&TMpCF5zbdwyohc>Q_i+bZF3=@|9ssQbIT2U^yBnFU?Bk`Agx-7hXmdgeMvSNoid7~D4h`GqSKVqNm-?zX zu7L4b@$qDc5v34XSogb-ffec8q1?H3rv|F%-i~d|hJiLMqT&)BvT(H7A1D&8=i{2E zPUoKO7gZ?ouOG_ARa@A8-1b_4Jr0#zKy^RC?BY#EA-lT#xpMa}T7DhNqubo0WrFc% z*O9b>iv(Y$T0AvzUH%vAMng>wE&H-~tCiC){-(P29b98?IMjkVQyJ858`=7P^eA1?cXRVIZL=y!xS3Z4pl>{@l? zd^@3C0S0%&&SDnQ&Buhq{s z=SV>Ye234U^yOKH421x6BLK_Egu_SUnP%j5rYSSmJ+>lfBbWdl0;zoClT;B!pB#28s8tG}#$Ex>&yZrBJxcrr5_zG%i^icdcFNu zO1E!6{Xp#nAy_>^OsDFnrFPwkhwm4jFv#SCeod%jwv$i-qaUw`2}C>s5-%I<8$YhA z@2dwX`Kcj)!Tp#&+0Qi5vL^mRnzy#D)*B?NtFjvh!DhN$EoKG&j<5He`Xx#H5qQr; z{$jv{uZox&orTp#U<;trOwT*5E+OdK#dU6*qPoZkU#S8}wt`d>QJCow!2NUCb;p&9 zPU8eT7;UsZ&{H}teGgh`W%B91Hnat3jUoX&ui^>naf43de#Y1r8o@6CmCY@^%u8Br zfZ73A5`00bIglhQmh%ILf-C0LFQ^U2?$2ySd9&F)&B4OI6QjSMeK`tcs=sI4t9po? zfz`X@@X97K%$IfRpdbM) zf)GCLtat5Thn-0D;Eb~C$XAH(MmGTpSim)`sC90peao_ngI9)Eekpzlrx?#3X48O$ zrN4L|3d?KU=7l63;yqzIR?=JW+Y9p5v^q588*6p|^^D7#Zkt;DtZHko?@Kwl{R9mJ z9Dru!`$dUAZ=HR{q`lfFcr-;F-=d-{OmL0|oVs&7dxq4tF+MOyuwU=~=KH*)%zwH9 z(6eYm2HG2pKbX)gFjC0haoX2AQ5H_z8tE4Me09QqX_=OA2Yq&|983uviIxkPYKc&L z6=dW$a!4Z6XJ%qDtJeMO5v~qN&hhs@d_qr7x7V;~`V>y-v1ooWzAY{u$ld1bao;$x zpO=1jcNli+(h{U|E|C^Q+zuvgM?;&4te823b}w!u9lQHiCHUZ$Wl+~@K3~g)v(#=2 z5yuC37bsV`!03E{eHLxw@OeCA5_DK6cq@%kp@0cxi`6GJJBDeQ{XS3049zT zdB~0R>gO?_mxfaGH($}4?C3AHQ-BdfVEm@qR` zsd!A$*x;*$89lvsJ@_+=@qh5$>xA@$O7O&ScX-Z&YZq}mE-x^WGN*jn=kFci=*HQ! zs>p5dxE^RvtOBhpI#)*HeY+-&ne?pIT>^&t4lQ48EjO_2t2x8Otq3f(?__y={>oDQo$XjR&Jpe;yiS-j90!DtBrb zTy!;MEeC%_pnU7(ExF(I5RQ%?GC^p)yBSUAkIFsguHUAtu4UBn_(K~u>X`08lZMq3 zGgvVCjj%$jFOR+kTeyJKpj(LZ2dGL33Wy2b0Ez1<+kRD=Mv}*cHBd8|30lWxH((rt zX%NSGgdUa;c>?6o8lwf*uSo>WXo@w~m%6|xh(OrzOUgtBacg*AwEH3B12DGLrZI;c zm8ldJ55|z0#7miV7*+%MoPzAZ88xoQ6PI;nlN;oY98QmP(84_moRIdPY{e=wHe+AJ z5_n#RxwHUG{yiz_08}hdA2J-ZCy{=vY#o|54%TI)(f2Qxi=hw5Xx15ZF(}ZWB{iG; z47XUxg(`&~VThKqDPOWkIZhOzx$YD!-D(#7m$XEfz^V818+@I{c;LF;N-Vi}y1CpunYN2y0-0eT;iluk$kz-TWHt>h>t;Dlz0> z5O<9AW0ro#2>`;~AU)c@M8^)PrLr5%CWrqLP8zl?@X{cPe?_o|o2HUiCC<(Ff>fFF zfR_zX7xsHJ-(a?^ke8=?B&p_!dD*Rud+CF8yI65J$;0vfyq%q=9l@-K%o@7@CWAXZ zY5hTRg*G{V&9NXC2smXsn4tC;z^+c$P-~PG0C-sXXc3!Bn;fV%bW6y1Odo^^or+wb zKm3EI`Np{F_$`_5ks&v&j^R~c32K;A4)|)*HJ{G8u1jZX7E9jkXrAHWU(0jG58~^&AS)Im zZAqMu!pk<;O*K5vCj3>nJ6$%>Y_q}yFyFoS6`0&?!JVq zv^Kx*W_3+E5vh7VHE~J*DU2>4V*g9J7pHS@34WAo(&x)YASkoP4C@V-N%I^HkQ+0K zHJ7zYB5rPX;&*>{vux$3G8+xpURD&3f1TtzGME!Q0vrif&AJOpe6xGf7IMZJqwlx* z5+|60Xkjv@5UX_1X1+r82tM?;!F~*SivGFOeXV|`L9k8zPv!>Zgi5LvjjE8CMSkCX z3cr6^>DC4l^gC!1W%JPbiS#T|_{Y-&w2fhbVGkPJl&YmB1jBo+=iF5XuQj!n^lSYz zTgG_}@(y-{4{0t};W{kBDR>N*$=-t%#rT=tXc_@nl4%`zM@u~=)~ckh!$dh>NIS9R z(9yxZ{3KNn)#9@C8Kf|FZH!c31O++=4HPE3sYFgBubNLpEM~+~rU?c_LeplG>*YDM zUHJ2|#6{1s5t(Qw)-n!CIqrauyyB*#}jEixUgp%ZauF08ed)r|J z04We-dKGs=;TrYYj?^}N&Hp%t`OOf$%?0C4Fxq}O@H_e#-Y+2=+$D5D?1Ynk#v{?@ z0E_GsS`*}JznIeq3|x~>_bJ%`AypbOiv!wf8@)^CQMCQ~G-$j9#OcwJ;aKoHpru(; zxF)()hkyh)2hB59qPlUTRn+_HZfs|LVKr|YQ9z~sRZAT8GhJVP*!is`}4R4wuVe|IAA8>9)P?*34d>@2=(XEu*&pIrG0?2_uwFlo&(?rJw`9 zPNLnFK{!xXk!)m8bAcyWqMe^93W(RW(CA5UwFk%;>pkb~_(X$8WI@JJ+Sa=0A&^%8ve|*HXj+Yag&Y$|U_|ZuSFpoix;uL% zW6}_5fZXs`A8|)x*=*YTxqXI%E>ZeQcMxp;G|V8t?!yup%Aq&z=HW3ctqaomh7JKmy4bblYX> zBJ6}Axh2t#o;}y_CS%0^5EeC)KPkE6Z9rzDYrqlW53H?dlaIczx)q6x)~BG83tqO$ z!B_LW#6L?SZGGiC&2uXdrVe6>yHhK2!_D^C#~ z4%zxBdjcmQQU1Xy&<6l>tOEbI=^_E{l+Y!s{T=0VK$VSWYtV`8j81%cyxokqAn@0} zX)Aezhhq_FU$7?>T*2Tf<2q_s@=3JD8Ki!skPAF|jR1!njlW>2J9!->L*95$I(|@| zxV3sfLC0T>OD@L~J4U7_ZrEbg6Mt0(%49-qcXVy|x5+|rv%Fpnbd=@W#V(Uk!oN?; zXJiuYVwL`2fpiGgWgaagyNDaI@$U~O+|ydeq_Je?+6!BB7j$CdM4Pl~nP#3{)d)YiC_|RrKRVOzn^R7eZF$cOJp2rjp9H{=Db2~5-UfC)WhuFNV zetVfHV>S8(FKU`W>zsy2p{5N!lp>Vea+yvFztPfM!@jeuDpO+}gGlBuk_iu9o6Eg; zM*MY{toGj>aRzcrMFx37r*|WfRX+ZKn3xY^^}cQK1vfa*S&Sn77Rct{>{0S@1M&Eb zvG>!SBs=f^w?AYyCD*ezK`}F~rjD?m=`M0%hVmardtq>9b-?00CB`5yJ@jhbH-m)@ zS=^qu%4bPkxKq%2dd@av$N``SY|}DpF%}0l>Fl1>O|Q9kpga6a@oOhOoh%^-vkf|Z zuO6dA<$aQHG*GZhUTZxkTj8)ab@pX;R%NZB~krMXUc&9lPbk#4p zUbr$J?n1^hU*~M~9RwnUf87lfA={R7~`8mu6?$O{!2F0dC zzw0ed!j%cFaDFETR4*oN$AZZj?w;av#!k+wSdow^+|l!9likk(tcPG!-7vgbEL$E% z%Nb;9n&#-5P+l&#?2PfIgAQyYdo@clDyqLsbXS?ExW}Af6>Dw11#kL}TUv}lR4f9t zvVcV2qX!ECN~bSyFl(G+VBRp#p>bfj{t>tw3=^9dPo3cf6o~ za(|%$9JW)S4J|Cn0fq_f5l{3l0MqB=9#HWo5l8i+{>klsTN)Q6y8HD68!t}$&XtLP zqAgE@sMh@dVput;7T_8m2MitCZZb=eYi6GQNXj>{a#wWM3cq^VzyO%6H00#?K^jSo zx);L>T<RzK&&}=Vq6Tn zcMpQSc8XwUI1lGSxH6V^RF1f;0vT}tglr+2j(Zd=K4vzebprsK&R@&}V=_(dl#sby z9-l0O5p^97BN8Gmq4PGFYC69mDzcl%LuR`t1#7@L_CtB=8 z8fZ<;Ie|7%g#>%g1i6j?uW#FXNo4!a8}%RGuH&_@zZYjY`#z-{@Xq0L1l6Dr8x&@u zbYc($T=pxzD(+@BeB27ULK#!f$6H=(nnl|6XcM=O(7>%&j*+2LX}YT;0Nhk%TyU)= zCO7pCrfuqVBSy6k%EkAEsZrp_OL}_{&V3~PZ|ZXL_?S-P!DcT@v^msIaY0;GRVc9j z4h;eAa4DIp@m!88Xlh;=!tTM5-;Mrptk)oc=_~lcD_ct(V_=#U7=nDGRtnK zj6q6kau3cJX^Nj2Hv$C}J$vuerUbc=E*t~X?_;_k>>twfqWK>|atQY#rbMa(r$*{D z#)(S_`Fk|R!h?daM#r1tMZ$kbYuC8YvkhS3%<6%WHy+!WI}2}kpgpHWt8k4R$2anN zH}Vn;xeJk-eSc_+8y31_`R1VLAV{4&&mt{PCJx_q`^&EO;C%>YqY#!jSQ*pLES~l;5`84&3sc?4hT{Lo zol*H|J_vYVL#HK8Q15V*i{Q(JN;9q&pkMi8W5(3xgfI{W6Oqik*HB36AiJX#i&KfZX&zln!a>aXSaT;^pR zS7L$=P|N7(kOGcxBwqdw-@t=HSw1R*+VlwN{L8=nz4fgRGaQA!Vlj{BVIYtkqud!c zcrG@#+{z<;#QIKqgT@ws|jCp32k^dypu&I~5)|6N}tNq5q0FH~6qO09o2g z*J)idO|C_^dRhdfI(Akw4`%mMoF;Mx$IN^nM&zxZWBx#P3=OSRb} zX!8b_<2X#Mx&qo6FY)Pm;-@T@2LW3PN#-fSlH@n?L_sEd^j>WIug^+LGvZzA^Dhl{ zw00h4Tx$8;BArECj%PIGbqu;Ro86NfQA3^#N|s%G4!>9OtjT_oW>%BOF~r^jaXl}+ zBRG887p+{4XP(d8>l^Br4&&AC9n3mNfez)dWC_;p{(`sXQlbSh&zJVI5VZWG|HIJ@ zp036L2u>1~I?Ovz5m$&L+7wP@|4!J&W^ePZ{X`#VZ|L)-&xBXtp{K`J36Y3w=x*&z zbg$y7Z(t=CZux|tb}Zc0)wwfyGl%RKr2U@#-;t&I=CodAf7^ljv#i{b8Wyp+NXM*zfK)#HYO_F-pG)JN9m}HTa^ECx}F_$%P@;*8kxA=%|mo6h(~9b_0VmStK`p8otdyU=5b*R9j1Rn z7Rzt_OPe9xRIIhgIH%R+-F&055ROS20cTLe?q-zT;m6GHxIvCIHSo7L;scq%PbBD= zQ_foVT^|F^RwXPPJpvDLk6`#A0~$rSPzn6O#eFU%dK?&w8TRR=%o?uXJBIxzUqk44 z^;t6t-2g59!%@BTFS5YRY!6w*kM7v;%9{L7!u+v;KQlgi_XM0q*1lITxn}JfX;8;F z9>B(Q9&c6BiRq-*<)dW}pJ*)97V7f7+trRMX~jGmwARW)F0#+c?&%$nHKYRkN>nf! zY?<+#0SdTxC#~Q0V{o7XO5#~)gA*z96C*2_^`R8zRfvK98p@Zeo2BXey|pUq2axcO ze=Z7K6jbs1k*)xGT@#crQ2ViTF&#A}k~HALG~~S;u1IaCu9=kf*}wTxZ}?UMV9)2O z|C0U+g!{1Zi>edW1dD9q&lnm)L#dl6<6yRtrcO!CyjW57Y_jUeB=3_E@26_+hRGk) zhts1M9GIt6zjr9myK@bA9OL>Ms0f13ZX4@to+>u15M;E!WA!c)e)wv?;!;zSq6uB@ z=L|Y=r}Tb$`(&Lt{$|v@k%a!to&hcEGVMeP({)hCI8o$oa zEcet*b-+q#;0w5P){-uB;^#P;I>=dFYYttC-RsOmRM~31Z!AxQUdMWVsIGkWb;b2M z{ia3CF7-`h7vNZtz`OLb>_=aZI`EzC!V3g!S(6cR!K82eQmBBkNr?YiOGyiEeA8<_ zp(<^fdOsWbZ>K}rQ#Zcb@|JXZC98IT?6BzXOo#=0ogfa7&%jxcN0YV@F>O!TvWyZR zSn?~`wy;b+8bYv7LV*f3>mNyUISe>AW$@~gHQluKJSEBxuAJ1_5g6V&Kw)edRnH~M zr;{oz&$V}A?ba=8&r~FZt|w}RApQg0#~icfG0!>m^pd8E@@$X@UNBlWvl)y!Fg-H@ zlW-+mX3ZI6axv{rK)uuHRe6_aF2{~3;aUm7aJ7h~jKWzv^aV8j z--*H9VM)sYFm}=RwY4=mnaJk&LwV;OQH4?x{LI$U>0%detBd?jDszYPi)f zd}eItt*d#sp}CP&@*3hMH&0-Q{R83II+5CrA53XTrKt|(Df6@6S1Q)KKTTTCqv(>+ zK`>?r_#Nf)cy@cYJKj1zKY)y|R4)T7p|M^8t`kp#$-1^p4UUGgtPprmY8F*hR9hix zzAzLkeqG19Gd^^C!X{`_N44>G%s_R3CVWKdTKy_YiVW8Mv zADYH~i&{2MeOr{WvC%2Att+6xZeQa}zgAF$s5T)yuutbV@(jB{S7C9kd7+0Dvw^T5 z8@P=2`lQ@c@Yc~)87}t&EOQb2dAtZj_HEhfE8#0DW`{>j7_Va0`bCh z;=wE3Ea;Q2Z2u8tIp`c;_b2c*!BGo;6skT7cPJS*DN!|@F&PdZe{+0CvySDx_HdiH zni*&^!4R#TL3Ta#1v~d6wWM7LBn-aiD9&jGV)k4Kp3XPxcQTR_{~1MxrTQ%iVHn@w z9)4W37Jf&RepeIC`lnD2wi@mVto=Ihhmkfla_qmPJFG>(V)AgEsL^i^DO-rnGkDNe ze0mXb3YcJF9!qM=o|iud_QyVbyf^4oylA?wwmUQl1`z18A?wWg<*CRSS^WNz&o6M~ zm#PeVL?-wHFPm|=Xlag4Ff4?3tU$V!{5Sh7Nn7_Oa82dch~u|aLcqP_tIcP$8oN1+d^!RJ%|+;cIzSqOADvkkAHB~HMl-< z6L!MviJYuEXs8Ub5_J5PJDWKq(c~Xb!541nN!F05Dt3c}{bnlZ;%^CMF-UMa!K@xk zVC#;vCUg?D{7pRACJmNuR{yN~JqpbWz}fYec}f|ar2>EIoylv(O|DwkjCoqdGfJAk zf%`-$R+{+%24X-NP?x?|iv@o`hvb&)ma@~mLj)*@&_6d$N(ahd3*sIt-#nkv?Kk6> zF2{SlPPmN2?rWUJW&f9ySjodLCkEcBhYn}R!j`daZzTF|a2Cxq1y){xm~u-n{D5VM zwY;!co9IzI;nTC3Ht^|9NNCLC0JOGaLlrXbp}7PtNI%J};8Q^?w>=o!gf!$wc?pIE8c)qJdK zZ07l`7Pmv~<}^A9v2wWK-c^vxSuzASlXbx}eWT0;F$hJS{&4JdtC(Joe`pbk20Sy0 z@sUqgt9!XJb$QIs^5tpLM`B@JuBEzwh4s})ow@qxo-Q7KI810Xk2g7SQ46m9#v|IbjE9fNU6J5Bw>o=p%i9duTD7Jq)YS(J0%<)rm0 zqo9L${eYu0zO5UBwn3|?5Y{4>oN!^n&mcL1vplqQV}rc&sY3KA+zhxJ=q9L!%?p6f zFpF(FlF*t5bt$48)5S#-!PiNwD4!STW2sbof&9h%6-W)16MCYmHv$!75s70RNYTY+ zle+`-d+5_l&V5K!z;`Dnq1GEc!68S8yu<|~Q9Ki(mJt^nSRL1F%+SPYSk6Q?JQ|KA z;Yta!On@EIbKE81TInU?QjWqbogRY0Lwk_!4eu05bu_JGQMpkm?lPMGCv?vy5jI=&k0)=}GDi&~xHVTHe zbdsLhBp8G>=|IbHe>th-c;S4(PCiiqlV0%gMqEhCwQ~Wo@eCTcHxr^HY7rr*?e z-MgHDYVD-qJh5y(@~cQ;0Vn3c5Z~8Wy2u=ZLS*e ze8SS2`2e^g|2cWBec%63Q&kxJ@$3q6a;5muyE8^S+xh`In3Eh>N>t;FigA#;JYO87 z;jp^dfMJA&&AG>2i;B9YIs3X-U5tc?#Z_lOr%oMda?t7ee%2iSzv8 zV>F9j<(koLL&0#U6_a5iE$b%<*ER8b`1t(V%a&Tek{R*1$uSwp_xj>nn=+1CyZxnC ziZ7}*s|~T>v>?-Z9IkE!(%MX92>ryv7VCPVCKA5QajBK-pbZ1_UI^oQbE4Mc*p!MJ zlLG_`IV!6#P_}UQK;Pz!@!`BqdF09jp>yNrKK)U(R8Y$(Bz5%X!m*0x8J@FoRIr8E zx>)*_L}nOX^WCw>Dw77A|3@ zdK?yRCLn$MEVMOWg$oe1Fpty2rbI+~nr8Q1U!~((UL3O=V~7xcH_<509f%L5B5((YncEE5B} zw8eTmI9x1_$G1q&|FD}*h{3VtfIJ9?yw?00&k@RhMM{Cgo|x+*wmxF ziH`qC5xe%n&$hrTNC)~l003Qypks~E638u;umn;-p(xySmtI*sydtcxzyV$5R>y#UC|>(3VzS8NB@hYjoGzF0fg%@as2rL_ve~y) zsb$?gv2Lq#t1cyW^UJEz$vNWu-ztpM!`P6TURF!XHuc#4#F_ynv1m?QT=SH{qO{)F zhY}k3!(KpAbXU3AsvaT>u2Goe>D!h%??NGFCIW>dm=;|ER>s_#zE4$LzcQ3khz|w-Z&d zbWN$=QOgaBt|J{u?O7QMK4H{TDfQCm$%SgMbhuX2nTlARPPCeNRc^_o+_tOrN;8KS z$qk07Jpe@(*O7MeVQW)cLdR+@Ev_DPD5%K!4#*J$$m}nqfh%2ZjckPg;_2SLX|C;L z)srYlO`gnGidDv;hfY;jDn#)h8LnXi_i>qU7*nXs4YA{DS!LQkhUWjAJk z#ZM=!+u|-=V%#iuXo=+ABI8J!`p?SL9^})Bluan6AVCE2gvv7WpSkSvC}HPZ!&39K zz1;)t&KZ0eT3Mn*qf#|7hXAdc4STeTIC-R>Th#9}K8GPSp#8Q89V7=$cBE?WGpZsx z*G=JR!__>OefqWmh1(JQf((7wEw)pm<&A`okF2(QS z4{lK+TfozOq42ccGxI~%TIx6y0US1N0avCuPHZu(%bj)Du01rwqtOnw5poXaXKS>; zf&j{BRn<$e^8<jp9s0%AT|C2O%)w*d``nqL;i zStKv>TbU{S57&3lH~#wrHx0_4QbrVUAMT$#li%EIl7C5js*ic0xNEy(dfyv2);KPs zk3-!Tg6!)~T>bcE*e%MY)j&wco0vT95omVguX{E7%s%||`{yzG9;bByC>Jx-pn%dd zISH$#9A0wL(N_2Cd7*anH}wrhIgl@Z6_UdQbMDWFIQO~d(62nh|0 zAb#o=b$zaB)~B8;1g-dOXx~;R%#gy*snMzj5?6ib=mE*le-5Kj*I=iMV4%rGQE7br zgNej74YaRD!GwSE)1hCH>e&pc~y#T?t=>(;I=}_f3mtYPD6O4)?LIo=a@v7Zb^bail?* z`X{NYSO+uOqQtp7_E}@%FL7}!E_t0X9pY*MD6i#C8#L-z0-K~J|C_cV-AJ+`ck2IL ztsR7bCrwTNU;jrg0$LM#1O~$1|C<(@{z)3|sBr<}5BO^V?i-hR!fm5;qvIGa5KBHw zy0?BwA7y;2R4#kxo>>4Mrv>C9SlslTZy_|?6@4JV>>*A3ky0ysY^Nvfw z+FsGPY%r4lOszUiLNl(F3;_9c3lU6Cc1=dEkhTw;W2@d1%=@usW3=Y)NzVroULx`R zbWF?wIo4U>zrmWJ6pFI(7~YV_<;$M4SYn|yuj_&mdrx3T(K)7fCt)A!_5eYqzRZEk zGVBL8?%88AIlcj!c3yZaLwu6$^77lM=4!8}U;HGz0NufSB_N0ugR^IHi2v zA>m_RM76PJNjLXXiM!i*lbj1Fn-XXM-4`uj(Kzb(VTq10QY)MoCvAJ#75BFPEtHBi zFfrM)2bu3_;>aTkApc|57(2p33)PJVn`ei?pYJor-Qs`|!8$-X@m^lO+QKlF+(a;9 z$K_D+e=F8*~UzgdiRTcxsb#x)DDe z?>uVslkCp#X^LKJ8omkEcbO(yPClsR*zbI=2lSOem16MRp;OZBJ^>HZO~#oS3H7T) z&(gxr9jS$~bUx4}F0D>;lc#TJfM-oH#Isxk{M7hpwFp@{h5e%&djrM!BYdQpoJ$@b z4^dj;OUOr$doJtl=swi1zyx*T#enxZ*pz|p*4$a<>wmzzn+OWqf=X3##h%~aj2#v# zTEI`;O}^3uW_#EtRI2AAyH6y#^Ltot!sA~tf8a+q&iDl@6~%4`hJUcB+L_Vs&gGJe$y12UXJAmudQI47H(n>GD`DOfPgU7Ls{ABj@uaD% zOq9vQba%Z+>=F_0vKvJ-i@a^2g)T4YpILn^ess+oYAbZCikhUu6bP65w}qP z#K`bVS1fX9lyl9nwTE${ov8b@nIVTV67LK6%rv;eDQ> zU%~3I1)kLN@*F7v2FYqRTB4@@h=?HYmT=a+0N;w%+et^E_{H`g9Tb8-eFbg{;P?7seO=FWfI~t^yLV1;LLIT zuZzJU1>XCvn2I!}Jej#j+;_5>4 zF!h@qJO5_GjPdJCNbn7XFZ3&lay{x!Nee_Qn5jIT2vS##*{pku7vPWjnWFcXn&Jx` zra)oD25o5mlb?9UwSHzVV}sQrSjjW}kMEwNc|tAd7UVh;+uyQU9bTkRwUK&SYqaAp z=*);?<`1f8=wm_-lyCZc_PYU;JKop5yLXmHZ!cQjh2|Ye5QY~&pL|@Pr$^p#nD|1S z<>nnctNf}{<8=RjrWI7{SBTq=DaXGfgukh=XKejbx*>6dk!BGGwXqFI%zZ@NPW1hn&o>-cnJGc-BGwy5iKRJ?B>eK4{8o% zU}v@HfYnHxIOnlZos?Wcxq6%;J0v$a;+dh*L4CmEe+#o`QH@oY73KOBmn#$(gE;zto2?;%D-I3Ppha+A+fXdLd$u$6Ne$wU?V{l<0}tmBz%fAYi~B?xq~0+SLq{Ah1}sIvO`3uQH@l**eqr_qef zS|*hpM8~ARaSbyFla|Ew4o)?@n)*fM8^C)vGT1qN3P|UpTuvSfH?1NrkZuK>rMlO= z*&EX9OAg8(Idk_%bY=X!cGCgFjT?DKo^vh#d|2b z*G(<0VS!lJA8##g+l^}ZKZ!dC7&>C7N}GH$F}I-F9p9$)RmCJN_V{=rr7>qw0-s1T z(>eO56ZZ?*6VR=^cFyqp))|vcIv#^xU(%>#b}g7shZtv_u&~TBn==fEhN-{ka#<=E zAo0R&>wOS=w>#Awp`=njC#PFCREMt$7=tzksN3I-T%zS!hB#p-GrAX7KN^b!=<9{A zwX#EptbmxhpLDAKr55ZAp(na4v9a%U3SA~vYim1^Z(9rY_>zu|REFd<^^!|{^sLU_ z4gw%GZ#yrKC-03ctf1Y=yyv{sb@tw6_ZY6s}lb7(tf1YT*hMz<>fjZ!6Y6V70_%P!!gZX zM#kPgSgtEq>U5VoSbs9&R+(n*zUJbuMQRinblNK5WJ(0AF)Q<}_g~HLXdliBu@`{%LK0>T2`*YD60&CfwaAmG8sG|Alp-4AcL|oa zBs$rv$S*!-TvX2k=ST~AHM^8TqyfpC@n<@5Mfyr6^CWMZAghDMl5e;<(|fO3+neq9 zJW`!q&q1Ri-D@!20jHN#6}b?!2G!)>i0=(fqj9lOM<>v{P?vW#>cc8Ysr@c-EMXQ&FMbXE8{V~niM0IggmW!O&yiU3{mo&~*Ir0n@NHP{Vb(;tG7Yvj_l-K_jgosTE_?it;5e$j+*8-vK$SIYsSX#Nv8Pr4 zH1&a*Zc}<_sQSJq`WKb)l33|-@y=!mWcWUmMJp@eUB{%5dKz+tUEdsrr<38CC{QFr~MM+BBx)((A ztNsY=-s)sKX=GIJ7qrKRau?f^TkWkWE~{;>ABK>_V1x!0GDXe@*r)n}AP$^7zrfi2 zhy*(S>BCSri|Ni89zR`{k;f#_p}}D&ANG621%dj=Boa^Q_BFXL6St%22hskTw^%FE z&nGKj#n;>qbSRDooL%B}cR4+wFi&wj={WI60(f2zA-u)l0Bm95^W$Uh8^Vo<6b^f;20TU<>*Ob4_;V>|T#&Yp50L>TW=D%D}2!1)g~IGv3+Y5?nKaMG`DC z1KhA2q-*mEPrEj4WV@Dq0+$~`P>|E$>d-wD?P~}b)|Vf2JZwK`po`Yi`E};H9qYmH zfT{|>BBT;tAn2)Adn`epch*;}K5=~&us8*sur90e_ovbT=pH?hXm#o@H^Hd(V&vNa zVjvb3X$W`dPDZLR)m)j-43dZJOkV`8@O5I;fq-I?|Rbw*9FnyjMB zRLBGyJ%txZ$%6;GfoFLq)m)-XL{E`RgKyZsu$s!N8|%iC1fHLA6*NS|C00%%BToAS z@aHE{YB057!V|eGY?pH93|5(6jd1vJ_0xoZ4k7(F9}*~g(nG?3w=qS1(cK9xg7NCd z%r`fG38w|N{CIPcEyIBIEF|&*8W~Akk0`>#I?brgi2bLD_*(Usnq(28g32u)5`&)HQ2NtDfRNs7fHQ$_Z)#Z^s+8_Mo^ zZD%x9*jZpuWWJyCk;#WB9;lVc1cLtD>1n@rLr+Li($5sL^Edt1 zVU8LgLV!p{GMv-9>Al~N@2>T&_1*ic%ZefAJ@32Uy`TN;=Sd{UzzmxAw}YA`nh)&9 z;$Di8iYC4KXj9Xm!5+K>SuV=Ip9*jOvYmbf*#!;7>l-X`Qy_KY>qjiBdDG`-qo=*m z?yUwB24}ftDuf}GfPETC{N*Rinc7n+Vd)2~JmM3umN#E^FePumt*L`U*Epx6`B!fn zx58#n4FXYMMow&hujw=YyW2rzo9STuYx2#KL|nMS_L0?GHzd@=g?$d)?I)YDTySR= zVXhg?>P+lg~jtwV<@LkfR@LI?DB&k%mX069W+WsH8XgBNc&KGX-PtC$G zsSI#oX9WvJLcz3`1rLcTlK4-MFG)+Yg4740V1wZ?6J+%z5di+LdtFMI62JpVXhtUo zw3=xkPy`CYspQ_H(6cdx4F5?{uhQy6GqUE=@)pj&Fz1DP+WA=Aq-OeLPkF97XC;24 zVF321Ce+yP%%m_n=Vf3x;;^o?-q$4R!^~7m3`qkIz^GPtkxYzg#0-_TIj5Or7yiua z*X*HDyU|1d-ju$;VOs%SgHpRl@~c? z8(k;Zc&XpS^NxKsA|d}^l4*BJ02-D-Yi<^9V%-ie;eP{+q@D1fgi;O|nBN0r*-cZM z7f!}T2jVi#^Xy?tGN7ug#Z1|khu6CHX6cZNk2##=*B~IMZI45R`@5i(_*w{tA}3A7 zKq}bD(CH`K4kRGc?K?>9B4o*yp6}DI~5J-Nxd8l-;QQl1LT20v& z>pz|XJ4Uwq5d5qpSvE>N^q_v}h%^QXx!jja@aKClUSq zMh*wPZ|i!JUgU=O7F%)iG3*^|EkbBvk_1g~g%&ud|B0qg40^3O6mQhhy_bmO9?xEl z2=4HU8W9Q05wJi?+$hBs{>?d+a&D*Y9C)l9{b} z5_^yWrAN2dYvYltCi^c>2tm09Kz*(Mru-KrsLU`Z2 zVj^w%Oicz1EyRO@p{kZ{B?EKpm~2qQZfeFl{(5W*AQXa!;ikjSQ~SiA?ZN;)ya;30K;+IY#5({Hi}?x zSVnZ14!B(-E`_#5S~cIAn31Lxa3$>E+vmZ$t|MTUN^ekD{{Zns3;O`~=u{8~?*j~8 z5F03m;pB7QD!H?y(g_O1e?m*uvkFmFG6oWHF#&rXeDRE-^J&zlOuZGv^L@llQw%A-Fc)Y|x6d;D?P)LUL=2o=>rk z)DHZs5i|kj96kZ#yPzdu!CNCpXeLlstOMw2{!G)`>r*<}`Z|-%*)9Plv|HyjmsV9e z6@AaGsKC~taoRRfG(fu)KFr)SoB#ko+?N;jl|=MxXO%yx|ar9s`>cVr01 zrJe(-zA~6!m*bmmIQ8paoj8ItmZMR4`9=21P#+-0xX8i(!V08fh~TOU)=ie#~iqBbdl8(S(svI)$~9@05aO z#u6*n5gmC~=`4&Y0)@`8iAR^7KY*5=p8`;%7u*JpvCqD7s!D_njYbHZKzF&k9376% z=VSlMD4J)19!(v@&WEB-Kgb?#S{bvyJdU`|Uq#^Gx;|mc?jH#x?vZQV?7cEiM@amf0R`g{)-59RqK>WklXXGtVI`>h3i)spUtNoTiTW9cy%Vk ztNq`=w9X5`rdB#=NFg=u)tc2*k#WftGz`wD$Q-Hg7|wUTkDqLFgWXQdVw)q+fV(2k z2c~u=_>Kt|J$8npE}japH&yT$PW2M3y15cruT`&uTQR2(H2xdoadorRtOT0Hr6nz8 zr`3iV0GNx9z$!RYNj7E1V30OVcep8cN?v%)(Pbil`ml#WFE@?L2uzYCXyNyxwT{Gk?RxQfW`WymBIOC`-dFvvL_s#(VV||v5ZLW6i>{riR`2lB(SYZ3~08|_8f9&%!P5)p7I4XTI-bqu%Z{rEJD#8 zqX912IA){<7$13Su%UyKk@nEV(HRrvDPiVZo4%AO{)?=50ewFAnkEQ+T7;8MJw-pl zE36xOa^3l}J>uh?;t+$!Cy42tbQ8GxEh~GI6sr+04Ev!2jBx&uLtm}_s@N3P!1#nn z(uBR&3N1hG5r5ZGRA-V--wi^kgWNSH5hdsO7r%mG^TpqnS%MmjFC8yBuVlCzjopqg z?Go6@T;*UP@~|wzD9NpELDtXrb#oE9ZCL{b)~BT(wdN+lC<4C{5$I32UBi; zQwf$di8V$7>sQ65%HS%UxuY0s;}l<V-D3B@=0Bj*BgxqNQTT ze7Fc3L!in;Rnm-%aGC1T@7c5mt#1{Luv8VXa(M0(dvADnVc{O7Rur%)DtlBn;nZ>& z+SF)AeA3{=k6kzw&JXt;!DmDMQ4371TEsPY{nb%wHHg(3{*q5Kb|Q@f#$9IcQbPUXA6jQ_vLj8g%)%=7D98Y&PsVed`5B_7s%X_1hpqfKATtJukS6UmV2DnSr< z`isN?i401->3b>Rix&odqHl_!%~h6iM-G%pVxtj z1LBQ}y6^$zj0mN}k)dNXPI9O*s>~<7Of|@K{1`XzJ|Q7^1j_<;zH?gISkP>I&wZMH z+qQ@ywJ(p_H@p|F5yK1PYP~zVp6?K`|J56#UPPU3maD+rW0c%EwbRL*YkrB%$ZF}Y zLeGNyT0dz_bWd?^#mts*yt25ZL-;;g>t#$lFZz=C1QstW>JI-K3BKIZ=*V4aVpnL_ zvg%HHEm;Y|AL41TgYh35L&e1l?WO>SbnUvLG>3#VSb;1DLBV+0l;>~`^UqAAwH2p(dv|Z;%DUI#$Faq?Gdmbb(h+9K||WNlHsDY+#$lVvUqD((gQLSHekU1 zw$L3^ym`^s9edn;i&~NkWAF^8mQ-WKqf_Qn)o`n=n8UZ5-^1MPf=M~@cAlM!Ui5KA z6KF;At!0tvgvn|vWSr(t`NeLIMhek4MGi{6d&lTL^Ji(OO(vb_U*wRiV!0)zZspH&KHGvG7T*<_OzMcxj@@L+(9Xj=xF5B*oV973TeXhuy0p zNLg~1Rm_X;0{?`}igl0+r9Ax?S@FfE+g3K5zhHhKxqlFC}sA&5Ox%*V^)JL3(6|%$+QRjW* znEQr!$tfdG9IfoeFab~5*)vgX|0eGs}rz+dpx>W7983|gU2_ag(S0jujJ zP_sUPsc`+x`S{6Qu$Tl@PDmagYwu^BjMY#oD*8F(spc#!SJB2Fzts&6m=|xbbLwM_ zp@{gQl!qIVmbPQ6qvkruh^ifMxf#m{lN>|-{5_f6!`&hRQcq1=8{K49HERuUTSj06 zd<2*|`W?pL`-c)A__LF3YsdfRhL{3iikc#{3Z2LpojcrsM}566vNT-3xR+<4;M$eS zayEH+0oU5R`lI?4YijK5{=#&Hz_u;!?Dj_~^i{Prl@<3my+@y%lE_rvjQXNya2EXj zVNX28psx?Yjvv2!+~tRHdD%5y?}-M_9|8g0DWewrIzeJWc#Ow=nqg^{{ zQSC@D?#RO)mR)^~Il$lk`pPy(nq`9=Y;If7QsWrO+}W3XuJ$OQkW+0H@1^$7%vlz1 zujxPcAK3jOymODpIsJH8yM(HcllC%eT)fosZ0hO94Zh*aM2!b7?w-kHF}fzSKeqa8%Z3gXb)g;0 zeR`H+mfAEkGc_lNA&1+JB=0U6n=~@^9yV(VRzG+<=iCeM(DgQ-1t@M&$XluSX)*a0 zT>l`0AB36fXHdlN$gazWf1ed|P($>_Cvl)9Z&Fg8`H4zIlq_J^sP&U*y>|L_c=2 zA}8V00|R72he`^xv0q~4^5$pzEO7;y58mfApb9a$iaLN9rGcYpx}EXZadFMJ3oOUe zYqr)exVOu#5xnR0_CD5V|A@yHdIR>E)e_xrJYv%=j0f_J{_>o^oeVAPLl!qPY6!i> zdHD)#IL(k=;2>`cxsH#oq93-KcT}X|&Rgqx=X1S!Q9;5+%OZVNUeNORTgM6w_G@HK zPtqSa3(1#UwBHFBrnbJ^&yq8|`E{I7hZu{0Os_$Eys7f<$`n&>D`|)4tl@8h0-&XF%gOcI$%OlqiUdKkoIa_*4J!K!dL{Omb5L zyU6(7M(XWrquzwLL^wC5?uujhyj8?M<2j_Lj31&yvWk!2IzIV>QN})OS$ya7bm1fL z?L_xe_0ke>eY6q99wZ4I)O< z9oljxSB0vhQuDl66*6K)k0n6&$~hiM|?C642c4 zbeHEp%nQNBrQWJYjaXQiFCNnt1ss94(d;Kp{;mG4^d1$1)zh;a8~cv-QuHJ3H4ofw4vD`Al1F+@4hNIOiqG|VJhmR3&8lPKv9%r#{U4t#y+ z&s{kWqXdzl!Z!2VtFFF~2R##d*kd2bVEc%cQgTD@xB}(%7f9Jo&&Gz1V-9acd$A5i449Vp5F0@;K(M#sP7DI>Y~jW`Rf#(PpKILeOecMv%|k0rQIXK3`W2#d))fQwMpC%+$dGrX z(%#4G@Ixu8D$RZy(jGHMbh`+IO7BTTTziiCy7pj!CUyV|Q)=bC-ioXfYne}n^XV?0 z=|>djz@Yaynyh3gp>%G|wOe8TTaedzllMZurhtH@ex|lyLMtLMkQoSS-7}6N$o(0c zZGXA(rAWJqOlYqmzfEXed7e%*i_g4001{;mpr>=P+Jug8lT zzGwzgt1OYt1tWV0+Zr=DCR>ORn}L-Gngd`x`cP$e#^$@`rm8>v}AoXm=oQLs*r9$+k=p)SE-*jXRs`*B!8qk_W>ouqrhRNiYt|HBkzxKYXs|gEt3kdnG;?$BC9&iu@1A5EO zy{DmtC8%judE0#_jQ4-rp5)nhkg(X{nO;IDI=j>ZKcM@+aLqL9_tOi_(P&ek_CfHh zl-)0-KZkKRaF7`6FCQ{^yRCz|n4Ig}qUyU|!gRyn{d>0RX_oxwVz^T(P;)D{dJl5( zLsy|!W~r&j#$MIbm(~!!eka2M<{8$BRY}MCb90m|F zwn+!|xuB1Xi?TeS)dF&`(r0SQ7wR+Hk<4uYC?Vdw=s~McGlkmEw|mN2*It-1?_kN9 zsqnkAY!mL4vdug)I_8u2T+@mB&RSEzFYo%XYmx-$W1DPY*x}T^p?_?#m-TQ$=0Rr9 ze6*LPhGe8rr@REE#W}YI-0S`OH;1{Ps0KCf@ZpYAM?3Nu1fZ1v?;CM$_&Rjjrhkg%oY8IQzxZ<7EC>Q zdgWg$&KeCXVN|y@%@Ei2KxvvpG|NL`52V32l$>M!~KE02%h=wba8Ia?1bK{ zl^Ljpp4A45bCLk+hBlktAvEX)3L?i!tPUD>Q}upKSsCPp9>c4OpuJOKacW!?Rq^Tu z@Q@_sz<%=#f1XXR#K#|>Y&|j(7>5ZO=SmX01 z+9sdhoYXT13pP)PE*SE>MB%TT#t+I$QOtrfz8IwNvnay02@nchQ!>Ybr^X zc=OO>!lf-Dpc5z5lEwjExsMQ}pf%o83+BR;;MkY`F{y%)5 zPEG@Sftbl;Q5R(wCb$;hj%;vnT*X}XH1)!DusV`6`pw~TxHhWi(*p<1D2z<7k^PVbNMd(0(c&RbdRd35e>-?5;%cox1i5s4C2Y z41}#hnZ;8?x9QBkkjG0`b*>+Jdp#DngvrHcB+9KUVFBVzJhSw7Qc5B85Ovj}qKOC` z2G1VlctX?vJWEkr3YbjFBD{+M$Nu(`4RB-_0fWzJ2dLv1 zxvXR9x)ZUD7eq0>Xhu>M-VN580aolL2`VXtj~&^ijh(N2{z5V3c@GO~lkLz5+l)wu5M=v7-wRME zmI+NED*UC=E9NvHg{JY-WjDP*_!N6#a|>~OgMox{s=5!1tl)Yqk`{fc7PSL4;^*`U z%pi`*0E;Tp1@_h;u4+mR!t$@C67U#rFoX9t9F(k>}LoYjJiqt=C2^-VuVgP#X3U$>#{Kc)gZ9$$UW^n61jhD+i%H|7Ch1l=m z1VXEjtyy{6!>$rpb_mYFF7Q;Jtb(*`j{48y>>(RhqSY3;yO3N(E^(nw44;c6bdc>w zDWS13-T0NK&`^5~uUx!`xJx=CQrM=z$+9mliLK?e2w4BE@>I7{-E0w6&LnbJpFu(R z!|z72>bLSwHdUfeAf!zP)j^wama>*gC3g_BrRQw&$%S#WwIenUS$Esi25F+Rny3yB!eps?Nk=4d6&x6fM z!8~+8`H7P|_~UQ-X6=QT9Fk{FQuWa7AN=te>HH~8ZhRY9lxZ~wSuX*9bkytGwt(tG zN+zr83$NUKTID^Wc}W&j;Np2!waKU@OT+t^=^&Dv`0&qHY%3&S&Y|FRys^|O#Eo09 zhZ?NooDYu>YhTT!J;-|xu-lrcT9PXP_z3Wl&X6qDm44Wi9AMy6PdS^=--ft!mUuK; zZcsTH02(?8?RB&{?Ua=`)}=gXjzc#FH5VXsqrGbf_c4i@6*DbU*dsb45sxx@(^OcB?>l~#PgXH_JRBu# zY$0tWr{OJ6C+>hZ;B4Brk|H+8g+0q2@t!!D)bFgu;+kS3p0#VCq3;XbEk{X*@NY|l zi+d6k24lh5Bd)BQuoO_OcP8l!Y*Seb59k(tSKWSRkURhGyb`X2yIl})rPf92G~m79 z?kep5XXgdA>2irqrR#}l*JY0$hV|aB*l9v@0$MGbhpl%!)u;*Ypa-C-Sh%i}Kk1Oq zI_!NoRl&mphGU+J3f3wR+q3($;lvVplAH8oY(F5nGa`msl=Bgv8C4e^PxY}DPQZji z##k^1Q8W^J%|L0^AN0^(nlp}XbdN;qCOm)TdJcK;=#KLBo7flaW{c60#O5Ra)={+G z;d*An=c|ovtNFYG4~#x7b}#n z_AK{(IivI43_uH7OX#eh5ztza_kRU#d{hrww1VRgZH1v(H_w2W!JB4ue7bh5*ENf{?%-3)eZ#!*vnbckF$i=#dWLxtkXk9+|(>~3h z-#j|(VHMCuHMdf$pPwZiKxj(%lnN?9SRM17(n{t6fgrhk1bWRJb}76Dar0k&vfn4v zxb|I>iFpci7HzLt*rBNTdGSPAc3$Z}cpzGCan5Xi0bVwp*t5X`KwSl`>`@Qm#<)11 z{#pY@b87*mp*3;70pxj4d*6v&aFzga=jp-DxUJMNXfv&UyT$y!h6xO(vp@; zdf`eOIHyj^|mN2>(gG<)V zCZ4QWN>rSf#$V8P^?heia!bg_$Qggn9B`VPnym$F`ySI8|sE$oLO9abpu|o zM;x(;us+gSEinKe#0hbo^a~;q{*2tN8RI-A)zv5RyIVqYS`KWxGhle@$9k-nH1N*W z=^(oJ?Y?#@k!5P1QzmLW3}d3@arb&Mu-lfeF|n{~53eh%Ub?=hCy%?cuEuklX_6Mc zSpf`4hV)XP!!fZvzITb~be(wOR@0;txc)QUfy#nC?jw8naYV{NZkaeC{mua=W56lO z2VhoaMo^OIt~s!Tzh=y~07sW9DtN0H#g!~bl-d2Nh&mibUXIY@Gkr`eDP>hWBk0UW z9_+sNE&DbPT@dExGSbyCAVl^z;L;D202YDQ+0MOj@hY`O`(%hLIat*}bvV3hSW_IIota;}cCPh2X3GH{$HxIxx(-_~A={Ev(+N@mX;GMGw5n0 z==H&%xWq%}87t?lQ+L%x+UMA3gl3PjJc{fwq}TSbSg-jLIIk}U!v#kL*?Gl9wZ8Qp z|I7F+mTOHyKcoRnJj)mPsrjvp0K?pWk;*_lj6e-pi5ye=sQa*LW~(Ik6?5}&JULq> zbF%Y#)K(#X>pks%wJK*|9UuTZ7tug2&!QT^!4>38uriF^;XVA7jyytpg7p5;Wv)Z; zC?5KnKPV^ge=%jc88|Y(|4-(P#{`TASwjYi{Z8ybY^_hM*aKuitYF}@qKj1jAn%`u z=vl=g6?k{DSf`QiwwS4mIIP;`%Rt+i@U3JE45P{=5mr*=)^8m#S>r zwUx`c+*DgoqtHvbx__uWLW|@yPL)9Cvg6X~I}BqjFHPOdSYq?H@rKAEbT`gOMBnk^ zqU|vl_aCw`Sf}NZ@4o+mT>mkt3kPM0;T_IKTQZM{b%!-~4IJRl+0|-QFLESh3>6d# zIiWe%jL&t78_1|CcN18H;ih2hE$ldU4uQU;&B)COqTrAEM1>s*+8ckQVej#|U`bGm zdFoYqg=f%k{&#;{f{a_DPgzha-O9TG0x=v@ds1!e{TM3EXvZpq{!nM529r8#1;Lge z`HW?V`}H|k%-}ZgQAuKFYzABL9J!{f5sQ=K(j0IVuS8aHYH???5UtZe-2x=IA!}K! zv01?ZIaY`Q?WeLw7>fL}2EfG_`oZCncJ8aWL&WP)_>*V8?NpG3WNGY4up`<2$8XnM zk~=0$-UbL}qmvV{pf6l-Wyst{=DGniRini3NMsHtY!pF_9rywrT>XAIcdRQG0*$p~ zW7c+V0`Al`z+kf;f|B@+LAGjw1%5qSW`Y*bSdJWa@-G5+IRPmxV70?3S18F2Dvk2J zk?j?u3@r-D)=DQ9nc6`?-*^&oD0yIg57Q|QC(G`1QAp0E!ITs0^)(Oby;{1T@WNNw(b{El7? zAimOa!(;Qvscfb8n`CFmWItG(TL+gmetaSrUC`#J|9f#@YNPz#q=7owpQL94O=4GqVH|vJ2nZ% zEeDFgMkdaOxx*7sb=6nlWFQqjz>v)0FAOP;+Pb2SGLoRP#};Mx>UFR;*GeXoW$n@) zhB#t z9(KI4m`?skM{V*O*k={2*P z#kzJa7U9XZ znu0s|C=WeEG|g)M>~pS1zpnFD{(bz~iOMT?2{nPesml?hnXOB;Qnd}|$V zQPdpp;-MV#>-#=aud*atrJis>eKv!R0{V7Qc#eHr=BrIGtyr_Ox7spM#jw@K)P(=| z+rP*@xp?@k+ii{Hy&l6XGx*AFC`P;fvGlBrEHa4fphszn2n$-4U*q_v*g1V7q&!(Z z)|Xz3cxu3$cP!n_Uy<9ci8Li+;<@kzwj>CwLq#(pm0w)6$ll|>{SG-9+q7TFaz|CY zn4)=x#mInAdH?E-nu#m1rqEj{ADjzUyGfgH6Ktmq1qBcg)mwB5P-{uw?d#R#Tb~x& z1=8-FINCL(+auVbHMRF5QvWTXTRJXly61%gAi7!`Z}wzBP5yJKWhWari>x{P<;zCs zECV4oz7bE%qYRu?J^2vda6eY+7Sg2$JiP+<9tpi%$e3VTd-fUGuF+dYU z+{oz*UA|^w#rAJ%=+@Hb90RC0`a`7*FqY>*7^DyJdi%-p>s3Az9{;*kQ$L~S%!wfh7 z^y3+O@+xf`K55MuZ~{cKCX-SnxKllm=5_l)`0euhr?qi^RZgT>nQ2ymPWX7V&>U8w zmIJqV)gQJmCmW=3cr8(Iab8(tSy!*G$Qo_{fra>FbNzFXF<7JvtK(HFPmJ zYDhDz+4im1DA_dq``>>%d2HIP`-S62Ub{M7C42%I+7~p~;=Fe^8+*5eimkIPJVF#^ zzV{~^DBNECZ} zfn{g&vPBGX^3O$C3eu+Ms()R{qYA1;)J%L1l#u$XNHBBZz#8H4rdN0FA2HYmZ;>od zAB*?7VJ$Fhom)`wD9;^Y?aO@2s%?z^<%)-MZLSx6W&Kn7FESP+U$Y!P9QbgkB<~z& z^l`=^rhWZGrg(qEQNz9R&A<+zer-ydhI)+~nLX0;&{wARm-iu0EOD#r8IU?|YRK5O$0zhDUon(vml-{7j#`A&fRuKL)QG^B}ZTAry z=7#B4>N$&Gyg)Mrd&kRwT#CVwCV79m`-Sqy`VAqI(+$@T4+bVQ;M51phn$?^i*aV3=IM zhyZNA@~vliKlia%2@29ma`6M0`x^A!L?0kNiz=!@1B;>_UI*Jyh7%xRDuAVOI=m;l zSr~;!ABmJ3IxC$s>B*@1Cj+o>RkgN4?0`oL?fB-M#p!RBbIG2srvA88BU!SiA##$F z>|4aZNn#Y&JVC z-lyV&Gx2%#z3C73biS~xHNO^Z0X#jyvP5YKEF6Bs=2h%&%bKXjPsH!BeqYrujynIY zW7AZ1y9YSF>Bi;K?nx-e5^yIXLeyN*vJlI6ldJxGM>DDVj~m{_g*@@y#=1)RZ+mfd zulc7ve`gpsV=w<1%`Vv8jrWt(Sp%ae@~wbGRy?0b`zrXOVo8*+QkL3u>t%gf=)>%? z^xDBa0bxeR)}@y(#92LWy3*eMi?qRn>B~OhvPFAHCaVB{gx#^ANmPZZ7dh08 zt!JDYhOiC=-SKSmFRgS+UpQerK1QGy@^&TYSwTx|->TEZb*ggIcKXOsk8^B2(W54Ddv?_I`#NjK9P6Y7Sa|*IV&>?N= z-I!l97Kh_i?|B|oeS!Pahnih%Uk(Oq(-%E>QlEaLQyW_ylwJ)AR3pg{o=nmJQ{%am zU-aDJFh057aNa6kKwTkIdnfGxehjKr@rbT6duz<8eWQqApF*FfG3>`Lzt`-y*aB#u z)97b)mD)T&4z=zL{@dX)rxiBoH*Ik#qt8Q>ASX$wAD4S5?f|LHB|?1XZ^#n-47u0P zVh#HCV^KwKgdu+*(mbYaxNm2Hd*ijjB28J^tgcIYS?!UkLBTgs>OCa9Cc^avhvS$B zPLeC8VE>J9M#tUjQ)=0w;r#D^XCJ`zTOrQ|Gx181c}160P-GEE&?Uovb03HIt0%(W zTr&@*{}fj2zD>XSq9HV@@gWKK4C!y z6L4j=v_Gf95*uMcTDCsB;%drU5!Z0%P{ElghvR#f1B$(>)kwPPYmnvgP46nij(N=+ z7UubLUAZU$C=X8Yc&{-jL9YUtYjxT5Y*Fs&@DR?e4IOb6F{|d?f6&W&Yl|D`kKUN^!w;t+o%!uKv=rz1LbDjQqOaYy7A()ODyy2+VVj63(m{X$F<8^4~Vu`lsu^m zsd#T_fyFgiH$Js{LQ6c&$9`cH*j6sGePIu+{+L&7 zanp%sy?tSVD>kND@=nDPR`wTjYe#v<@9(XbP0Z5*B(Law8D&Jj>}=vx+z{C}LT}Zm z*m>!C|BhStk6mWJX1-b9RPBb9ECp3Qwxk#RjLkUYJvnqgynS5LG$qbMsWCD#kvX46uXgI|J471x z_YTM2K6B_$TuNMJQ;BTQ0Nf?redu#&oR=gZGyaYv@`N_JI=|M0et>VqF@F*WS@$*% zP0(;mvq_m5H|?hgFuhV`nPBcDd&G{QpSqlPTeG4uly{SwF${@bcba=36ttr|>3XuF zrcSRYjS!ufOLH8Ps5JWEInq)rpnN#Y+coD&$xnMv7+ggdt+i&d5@ zXczG@I=Vesnlp9t@TDajE&74VEcOb2cgjZUSvNH4F^9c4H1l?isNkF@c<(X( zR=@MlKt#3&ZU0r(VhLo-rMZHzytM#wekVqJK(nRJ=I==D=>6wEi2!srfP^3hdw$;NwvO9S=}w~m-$-|C8sRbQSBd8jr8%E-v% z0UlIfUxw_Ex0juCvfqKlMq@JJR3KuTxD#m;kJaMglohgx>0ZSY*t1U8s$Xe=VLX^3 zOtqpPJxoW2uqxDH(A4*1O&*kU_2OHj+-OeK({obZ0&wY1g{xm-=x5{{tJpXTPzmNH zjP&=yUh(H71ssVLXXR0y_M`{U>ts;2&N#%MZ^BR^<)iT`9TTayAAnxTcR#8+a?a#8`ez^&92a@UZxsnOi9oYZ-wCwxy& zJe0ZueX=b{4sv%u5EkW8n@(bQ=o4iAZEXjUD(O26-^<>5De%9!z`&g*YFAlX#R-Kl zyIQ2|s^{B_iKstj!%oFp!zc)X?_!FiaC1-h)o{Z^9axu-l<?UA?xp&EO%Z*+uKG5|j?&1B6yA*FYWpvu$>l{&wJiI2+n$4R0D+!jLf8df$rvbv}}o+^PD2pduI z*$W<%c_^yY6BMH22ibKEf)h~_k$P!}#Hxpc6}_S?Kt`7{gn!Lyf8(meJ;&X!ryg`= zWIP&jXARlNY4u5_{}3j51iy{`>=S=>NY<%(fFoC!ys`7Z=nk4l3pgwQmVNuO!l3U(h4&sAR1>tAuR zM@Bkeq7uf^U1hif2&G73q3PNp_>A0sZLwbm6p~J!Dv^j+=q26R<61RqU=v+WHkM(| zoNc1^BZ$dgnuaMMYsTV>7{J;0UBImtI2kKAneJo^z*=%J^?guO%UXoSbih%7r4R66 ziq)@>Z2G@%DH@M$!1|lOVedaEe9Xd}T*)UvHvwwUZ;+ZnwA|*%|5VjI{l6ge|7~dK z|3j;BTw5D)3mIvQS6Fk0tWg{T2!*YbzQ<;K@^<_Mb}tXUhWzUcWjC?f`u$h|rcrgN zsmKVJ2687!MKNf(@>=`(fP1mc#+|07%;Zmd z?1`5BL86R0#SAma8p5ArSz8IW;$>XVl*jYpTukkchE~<}u$*g_LMismc`xQ!;XBf` zo~mEj@W&sJ zMxhxcy|Ch_;U`)$GC{bl*Bg;Z8JGJDi%gL?6cGMeX0eXVD*h#M}1#gq}7|v(r^01@f* zQoYlsF!869dgld3DJFguWJM(#4RBRA_l4XCwBW<8hhb1Wj-1VD>Rp_d``Oal zRspbGz<0%RF2f2{ZHg-<9kIAV+U!-_W$NTllgZ{)Y;e0c^SgHw;vSEO2K{NvqMV{l z_!(e+q^#Te&u7%Vy2KKpOm=5{(YDfcY}G)Z%{^pWBAVBXHlgp=C||fOA=BZ#2Axrn zi@TLM&822@JH&LBJC-^7HO&9!aqC{lpfddVk;O^aKu7@Lw3Dv-C(B>b_rT$7^;L$P z%#s6Kf**pHZ4^zU!EjRAw%6+qX=lSiy1~GRrIi87Un4!xoIS|7wVM4=?V7_WY&p+j zq_8B2=sVe{7vOO(+f$IV8y0(sYi-HJ-DO>684OE=WlmhYvGk*1-zd$3nq_aoUUaN! zs-1!=AupDJLDrNP$Z9lm^b5oBqYuk+A9QH;pRFoVP(XtxEgy#?AurV@T`HUlxB)ve zl?sMN)nJb~fTHBXyo$yf7px6sLcQytFgDK7`3b**)8o)!$+TN#c=xS@+A9G;#z|i> zk-V|^xiag<*Baypx2nF&+_(J^maPAVcO|mWMwKWuOpEMJJ~c1gDHFgN_MDM~vTTB~ zUm+_*6Ttp0`bqQQ&-}Z5=#OlDTO?%jSzaVD4T(QCS)+hsu@{c&E7S~) z+F{i9BY3Bvnjh`HGj$wciRJwzX{s76&rJkR#z!iA|@C^#7D{{)&kMs z?T}*MN`AH7&?xdPV;$pYV6)u>ZQBWBTyb)?B3Jv=zE={km#NCk9;udiHSF zxY)9={J&<@`~DI_&=&(Wc$cN9Rw=LmFn^SnpN!?5=Tsyq%(G%_oeL?QNA zSvo67IT%srE@`9!e7x@>;h2O8moc;D*Xq8Sfs=D-mI{`u9Z_X1euaHxS9*^wrvlLT zr*!Z`dt>lT*m;C)>VkS!AwLsk2U+Pt+90^~9>Q}e6*d5)i@$LeJHZ;RW+-u`scz_~ z^W&K;75*+lV$0v$bLL zEH8ngOG4^&NNc4uNQgrg9%Ti?i^wY*usaFoi**?<THX?_O17~!wyD0It$J8f?DR;o)%q~n6b@!{EuJmSzeNDn9SZuNyQaE>y^*Ycf)P? z5u4`%2|#p^)ztAn?ub>p?W0V;&`wk|$HgJ%H({{{_Tuk#1 zn>Ap1#pAr=Ik_QA)t=mdy+p}y#umt4Ifnd}Q*N{+AxUwy>tBkjrmyH;DHbR@5L~Q$MXubT%EqBqmYEMTDI;y>~kOTT|N=1AJP( zdpWXv9#d^CkU%XirBg+WoHZXe52nRb>Rk$rf5R+; zXfLMZW=R`_*;0Fq@xl!$&2%>fzSgA^Nm4tDWn9ix#BoIb$nl5lx2UV^eM|;*)yFy; zhsZV!CI^n>3r{Gej?3X2t|o%4k3ky9)Zz!!WK&o(G}l{d2(esV{V!7ekca{H+P}ys zB-~}>;AZEV$p1mvn}#)Ybzz_f(Nah1(Bc5Zii)iRT2KT62Wt^6VraFBqC`bSWfB1~ zKypx9QBhJvK?Moc0j)zA#4tyS7!V<7kT6FG5FiA|Jf73L=>6_}?vMN2=ed9SqlOG; zuf6wL?|Rq!z9zAHhCK~)(-FICgkE_V7v`GAN8&Wr37zpEs=_;>2jL(};03lGc&cSAl#Pv>d=c+O7K#hyzj$^02X1!;$)&vQ zQFo9#TfCK(+a?eRfB2y>QvO6NJC@m`UY^0dDyUBB#MWJR=U$q0yza!zsvYt566=Nw z=U1N_6O!du4;8l~v<8>&+AyrcwDk)W}o-&Ow&Fg|R))Hd*1p#R!k*)@K+&+nW9GzT! zPnR@e1<_J!JXRJ=i;RhU?Av#OI+(FrBzMSf#+ss@#n}5B0JocH?T1`=b-wP@BmL+NLib&`b~N2w(;1ji{c~s_11a5 zGoalH5>~jY7`=r%ubu4rGJZ`$0TypRdQ3rsH3WMOZu{H$<{P?)dM+L!8TP_vv%o2- z8m2xDQb{|}hr|uf)VsEc-e)%6@Sc)2*T=#@2GCNeZo)T?@xhiaTEkfEU0!0`tgj3c z-VJs(FjeP00N(>225KNE7jeF6DfArxfzDKYlTRN_&k~GeF<2?!QV>WxR-$~d#-l#@ z38O=@*#fTsaR?l?tO?cK_zrAcmi%sjv=p}3aq&oHR@BHTO2R^fy(~pv z-VvP+4XL5LhCa|~`4>4Uk?q-!*`aT(L#jk`x1BMA3wBUpS$d)61?cYLVd`UG%>!ReY#cWP}^UT9uQDQeMS4nSXWH&Sxo3%?-vujuCWWzLst-$ua(&OvQs?W7L~1> z8W!pxDOW^=K#ONp7}hkJuQ5(2RNjdlw$gdJ2YKU<)(=vBi;ES1W%w}bjQa)n??e0C zuYs^k`@T#P2jgj6jeRiRtYuDTw5DTirRhm$6hmh?nmp`Sb>BV)%%*E&>&bndS`5$GWYyMKcoKIefn(Xe7H)vcf+rm6Pop_i`Qi)^^x^yf! z_JeWO4YP+a<6}LP%jCI7BcMZNt&h{>KWlC4J{#c=EBJ@W1rqB(Ti^_E_F}>Q27DW_ zc$Nc?Rd{V6|L;MAM@Fw`>e*KgBV{%_Lh5pe>T%-c6fMjxA2=Y_7(4x0GHc8FbDp+7 zy%BA(0VRTnC26nch-iBl(H=|3MQw}6%Wbzj!888G)5q}X_y*oD687h_?Pi}V7vncg z&cP4;_hZL&9G_&rvdSc5kbjff$HsR0C6DTchqsIo9hKF>U;0axpxL098KgPhe6LVG z^AW3;GK-#GtzFyjjQ;oZWa%YKgMC{xQ`H5rD#KG4i3dj!#oZ`Pq}}7AnLmg(I)kmC|hD?qxsoUq42y z2^A6UN1=~z&>e*HWIPzRvf6FW4y4%X^ocGlAG)n5oo^D@t`V=WhkW2N+#|AauvIJi zcwm(Mw*K*7$=bEm!4|2J7TM^BH7}SU4l;*BDXuEN>6VW~)nPMOL%Z|6SHY+T6rC`f zA80(+X@KxT9+mpIcI=;jG@~J7}5LWlXl8sS-(Kcbm19x|lekGX0P;>HJA97k z&)JV>uMBzoBJ8Ll;nty2<3`2mh`e}!jrYgoSUxMaG=3|!(g4|eDOd6QXtL4A=(r_c zsg7@545Jd3`bfSe*tEUyT99DrV+*N$71}ENRUj*08F}L2S)U$<^Xm^-G?urJ!{|BE zY=03< zaaKMGM2Qm*b=zC_(tr0qi7I9j0ta)0lG`dIKkXbJrGQ}olBB%gpM&tI0Y zW!G%!KZCgXs+g(Jk{`S4jk}GY?U>raX4CL%(qbLA*W$7%NOO1dE^b+Ax=CN?OWcG5 z#=g`Ud~uAsQL$0Rm9HbQm#(mw+~S;}^zCog?*>W0y0J)8X&ips{NcywvN|;8)a@(Z zVFGd*k?Q`2bf^f_fFHJC0yAE2zWWOEeWFeAQ?p%GErY4#^?h9F=uECD4*ES^Pl)?Q zI~z)Oj>SHnWGSk6N8Ld8k)>5-ULrH~#xfJP_W!o%D-Bp$(mD+ibRbQORAWj(A#l z<)?m%rQrx^c=ZT2VG$hUnnKUNMs1GroPRomYTu^m+IL}|A+)J`KbZMuza8uX@MtBs zN2fTG=$E$Zl+rsg$|3FRXWyKvu^e69z%$W}c$w0qcQU)){_&^rx~P7y5C?xqG}CSA zY=b|~hN!&%XoXqku{$ST1Q{nkaSq!%bo!2XnMwcR#NuMKM2O%~A^FarLvfmBr_UvOpg0Hh7jStIhecW#bv&st*qHhh5g<+#a<{19G%`?{>|p&TTQPs3E1e7SM-eW&xgIwVQR2 z%pheSH{b00Vf4_Q*^&KTRyQTSk7_JBn4_yP@!-CFK^(U9W1`dj6s!14qi78HZ(J1B za?bb0Q}r?MJtA$-%CfE?g7NMQXH6z=z{kiI(dKUITQEVV4SZ$sh`v$U=!L{HGI}!I z>O(S<>)is(tj3C2watq;Mrg4c4zSxJVb~f~&9IaAHGM(P&Nkd^kQh3O!z;VuCBCSE zJWkIT5gjoukH|v{D=cl!0u!gjK?mV7LhZ$_{fm4}Uftu4`leH4EYX4C-KP#vB6<#> zvfZQ*xp$iv=pIF?hTb~zoy_p&v$3xMcf|m`OuS>CXj*nCZ1oG~eM&Ig%4b)H##~xI zos@R~J9&~dXn~w`(P$%j5z|imfyajZy5wJ*i|T7bmwkAM%lew2$uXittCJPKp*j8&q_i}TS)&1G3+EZ=Y{ALazMafhMG zo!h+*hz0$m%SHCw^767&v_($}ErfFw_QKgU+z)Fi>)tXd7$uVu$=Ns_J1@$YjV$ z@wh;Gj;#BIbR>I!1=jy34j@TS69cH%6J4wm%x<};*1a@b?I96O*=1I+gvJ-XQ%30t zkGnbp2x>={c~H_!8WVk^DM07>m8{KJ!fnwj)CvUpGdzoPQqM`8&UJ7(1wa>yB^>V~ z^}jTmPkur&yg=FghHyUTXXLsI2dKt-mKJ!K%3xLyZ07bj6nGZYI4lY8rt@q|a7r(B zY0?54ZAlyHBdIf((<2bE!<~^ibS=n_8jR2s9?Oc$I+i$T_O`7ik(#OyGS#-XY~0T? zceEX}u(a>P8xuYzWW^Dcpc^KJ&h69XCSVa~=W0o}LbK`l9UnZcpXZl1M#2MKmJS2} zZza!OEIc%^w?LHA$LI&!2?q;RfFiisc=KRDpDK-BmyH-_DRXLRynvea|$N�E? zO#iv?$84&hBtg`vO*BSRn}cA)Y?Aw9<^bHQs~!U0%2MO_M)hFS5O_nj+}yhl?J_5F z9nZLPXA9Y%xp9d$WoMPn#9#~XOdq12Yr<6|4=O*)e5{2*V?l|tni32vH{*Q%T^ z6xV&NSrs>k`78r|R+gQZH~ET3blMSW=~sGGB^s*5!ATZokUdP@LHfYF&A2!F)fn$; z-sI56F~C+1|e@NzwP{=k8prhM0nx_2psbziMG6;To_W}3O8R>>Q!2C zr|k;l%9f;rAT1a6d^(y0`fn7$74X*E03osZD63H!RfSXfnVSSo$o4YQ6W%CFC!*fE zzl{>2>ydRBjcGUvnO&Ba|7xu>^5q%VZLo6C4knDy@eGi!7Oznk;rQ^m~NZ>ZAW_j*Lb z!EMg0=aQcz-@h9wl;Fbc)$sMuY9^cd*biZ6jj{A0vJpC8VOsPM+49j2kY2VuGzZA4 zA;B;-gsyMFmWk7dy$lJ^6YMzbLS%XON3735O$u~3C?cgW2b`Z;6@es}^zP<7Uqf44P4Qc zZD_OJPl9ZcYO*Bbw$%W$ElHEm>?mq%IAPSy5F_!(u>>hf+h>15Z(4B~uAE>4K^{n) z`~D}z5x5QG2gHqcW(09;&=>AsM0tK8{7(B9-b^*PDR|V0fSht?Yx&sPrN6+%NCxuD zW>$|$c?CJ$Npr*cb8jSc7XwfTU^w?X_)o}mW$pUpm9ra{#}W3(9L*eNXRPlB>nr5K>B35iAsUYj}U?< z;)LHR>9!0)OjC;3jp?v`ND83rQU50zANK!mUdf!pVS{HeG;C+{MB_02ToN&Q2f3Lk zsT=C2V>x`vCiv*D%rn2M^oV0pgtic+`~4e9B7eiOTk)&w~o4KC>}wE7{)SS+wvn%b+}?%k;5_9wN$Y&}QHnQ$=< zN|{}Fi!0%n#sL=+$o4DZRJ>-;7re6}`rOjge!xHp$vGndJH&=-ZOZwkr`YJ6w)kQT z^?L_bWh0A^@4yTM$YI-hw+(nZI;RjKt%dj=Oj8&TpZC|-#3*j zmNHe;!nj%4dIQ|V)rzH7w%ZHp2M!-kAcWs^`95+yns&5#R1E&Uu``U{ridES{khFB zSIcf(Q!xwm&}{_oo5-WIdr9?MuX^fRfqlo+#~U5&zVT)+#%Ud%RxdoZ7_Aw5{&RWt zqQ?NWSOAGA{qM1jK))zhF=-L@vg|+|=_Uxl{-L8lmb<&yg=~yZyKn``5B{N{65Qihoj9$ig9ykvtrku6@}WH#Lw zM9~U0{tw~j+?B+DlpMERHO3k^KB;U=+A>atrETcksgQ6wxMLsUqh)X1Bu|k!PHxMy zoo9Oyxmw3|Q4mr2d?Stq`XcUoO}CDuL^ydFZ^I$+no>l{vs88BQC+3ekfWc3cQu)` zZy|{>llIZ9<`UL1BXM!!e&pP-pI&Wq_8RE&LPw9`wP0nU0`p->2fD(XsPD@)c;8(0 zYt7`f|DgSU@J#Voz39=Y7;D!4tgxIfI_XtL?gsyd*(;7YPAKsTx`ge-{%m@bs&DNS z`tTrYX&_+u9@_=Xmw?*oR5d`qpqBs<;)l26gkmf9A)&4O5`@WOZ0NOGa`g(5;$m|s zs!l9f@IF71UgGbm8(O5M`0&z{QSk+ymCix>->H2cA4)o=IQ}NgXF!E$ci@A={>*a z+!*Vx834;F$z~%#AANDIs)3+Hrew*%_$|`0VIVYFoBflAH`eDk1~*=h=l9PpUw-f> zEikllJH+o}1t7J6hV1dqzD>|wo6K*Y+1$_TuU{`T1jCBLf(N3uZQ9VgIbT1>Y>3t` zNq(2yXvfA&+xwWx)*c@uc-s;;*csWT^XO|!p?e-^f9>6Spkn}1gS;~nQ1oY81~+M* zSwQ_yZ?X8R25cgoW4tt5_#_C3W_-16c9JT`EaQEh`Bj5TJcwpUz%(3M01#`dDsV=2 z_G<3_{&`)(5R|KaF5IrYD9^i31!Jo1&0`;7=Qo4U=lU_lrQ3I{l~YNk_-zi6%T)& zashakkIh?tn#Hou=$}PDhP%NI%QyH<4)CCq5RpP9u@K1&8RgyP;p>6N2N%MAsHn8S zzn*e16Hj1ow1f(TvH9=BX-&EEdY&O0tu>vFY}?_5tp5e=&owDc+!@!SnALfqHm_&F zU*qeObJ1S9dwy#XveLOWn`(lEClhC#kSl}Iez7)}>6Qzjyb-t%Oe4ng8zrN7T-T>+iYGgEE+XMEU)_>*&Q%xmansgY$wL!~rgjjYw7@UH>Ad zQ8l$xOzNAPl0`tH^QU8fB)rC2yo_VcT6}!tKdE58nFR>(-bJKgQI3*J?MXEr(c5wsLwawoQ30-7wVTgA9-2;;kx$ws*pgoPI&qUT|oP~dXgl=cmn+vlb ziCG9YP&Ty`_G_yRhEjL9K&p5|k4m$s!*oUkm-0S%8ZvN1Wc(xs$=OlNfqykDXNsa& z^bysIK?n@9%Zjl-Wq>r*|F-!{RvF%0f@@L9g)tpIjCdV&xR$Di25`rWU?nMo8hSW! zc4beR901jn+Yl){j6CP{v6kuP>j2@54RBE+mDKv3KX%ZzF49hVJthjW@b5?2^Hu^8ph%NCxbdLAR3)wntOEM|_ zh;r5v8}cZ3$ll&AcSl9C!)_$v7OdxKG?U+tN{4_f0qTjVV_Op%h&_hOWg7gfSZG)= zg|;Zp-lVRDe}7QnIEHWWI0(SVGZBn5QY+ynXMpodR43rTPOK`DL1YLLbZ}s1Y0>xp zq}itvdx$2rij-SvvB+~_f$I{65sxs8x?_gw4;7$Et2Apk)BUt=iuDrbb zY@pjk#o=`{k66HU+(#=v9e0arjxptXT5I{1cOxLN^0KtexlN`DY}d5El0;fmz@vu@y-~@!;VsixpFNo^B&nvRnI^#OO9I%i!PI? zJ!t#fDlKa9#&urcYPq%F=GYAnEmC1?2Prk>?ZLRK#t2h_*^$lX?jR;;|DOLHtFlcv zG+yRguDd-RJ|KO|uuA`jPVxU>f*3uy&@X>t#fm-;@CLobcMu{W#+US)AUv?U_ucSH z<6f+}`#=5?I4#Yua2e$d|FB}xK&o*la2+HB&e|oUmj^br48O+Eo#3mjIBss?AAC_k zbkwCgtl4WC;zAu$FO)EO(!rbs(t;z|8#_QEM`d!)v_X0kzrDuEHMsg%-Gp-co(y0h z`r5T1R&@KqSjtvztTC$rH9$9Ll)@&DBAvvi=;-3&i^7H>G!3p)GE=obn2eXP$5n6R zrXWp)H;MRb+Fvgp##J7%rZND(IQE=8-j3tuC%3(bZat>>=%CK??Q77mU(#8)hfub8 zG}%^?iz`{TCRLw3xBOK~yK{0w%69|jNp`m0m_E)vw{kRY_EozEO*#G|eGJaPTl`z-GiWPbX2whjXmhMJFC9 z!h_B}CzmALvgfBt^gzuUbko{q#rVy-;3NN`Bfy=T8KN;h&b=7I&4Y_lsw)E>$NJUT ztuQ-0Gdq9A$7-PSYuI+6N5CoOz(!-TRWH0!hfI4_(6fEwoV@(zX!z3Ra=tVF&H^Ca z=&eXcc}A)d4(k@ks7?%3lI625LSWSEI5*eWTa^sSQm?%? z8~%p-(mo~nIXnf*M|H_z<8Q)_Z`W2yI$&`6sZz7^L^L*`2%Q}u!gDOQj(2&R<&&=Y3j} zt2jt}D*Y5je2DySa<>hyd;_}Q#Q9)ixo+%jljZgzyrk&b&-~Z1R(Ib2BK5Eq<`kY^ z)F#6U4XxOH`t@ckxE01@VQc=GVrfdEHO@rh|6t2v#yS36`HVX?tR%8G`@p_o&K>mf zvizdT77JLFq!3NHf95LCE&g$%O!N>5JAr=1J=PHK+w`lbDubAFWtfO}{~4P`7~jlI zmI9@vtca&so~(;j5jEw1SD^N&SdrZF=opmeUXg$6zY$Dc}T!gY1--QNcV~dj;WtNWdR{ZlP z2Niduj9Sn-bBjT{0rYS{Sy%H4^1mO326JqE*o+!s<+6_~|Bt3+pP93VV)yY|M@CgP zyM@L;LvJJ`*K^7a*b)0fxlLG~-4p25+jD;Lgq|>?%J95spdvW(Gk@Okb>1QP{f&a) zqRI~@7YWEJ;Mb+Qi<)QMrN`4XVeheC&21JB!a&3SrQ^;mO%k z{D`OfH>GfPbN)rzm%M|S<3<-0q@1^%FfOj9g@rv1^z8+HLKo$MZ>;4x^)}Vu`Y+ey zg`pp!G}4YS9h^pQ%FaEAmwSHI4d3ZHy>g@AO>EqQU;jl;_*$A)vgi2^qpeE(0J3)i2cZJ z4{rK#bD_Ycfne z>r|la?{OaRk`YdigGF`N3As7X!)iSJ=IUlcXggZnigN4=nim`C&mTS)UMiAKcgX8D z4&C8Wc&99a9BSC-xHH1TxII?mT`#Uho%ow_zdK~%jen8wPwM*kMO0PAPUvcohB)ol zGE5g@Ao=@~w>{d=@`}fIj8C?$HYO(r0LA1f7pmuu(Fy>LSD5#g z6ouS9eBy<}a^s#%tD8<;Yf!!f%p1%&5f4T9o%wxK4k2wUzq7!kvxoI$<(w7`dRqsv zxn2m%cO1X|W5zeaA8KM8I=F?QJ;q%`0$?N4$8zbM!LvjB-AK`l2u)^4eDsxo>Fgy7 z?v+E%Xf?M3h(FEnecgt5J3SZv*qui0H2FbXX!7Vbf=#><%M|J^!?)MUEuIi9~jdqQjAS_ z&Dz4?L4HuYn)e8pla8b7Rd?{-jsg93Vt`gDn8Ka#Xl@Jh61KvWcjXp07>hY13M{Xi z@$1XLT~QP#k7)dJ5maW>Jn;xRzDf-eK8Na_1#FgVvlfLY!y=uk36E7^)AXDf7*C)2 zI%ft+Ms*p`FH;^?4zRQ!n-z%~e!HhpkB#mCcD>?c-3-y-ki+QV^CY#dI1#=cHJ|_^ zy#SZTWA$+vtP|Ir)1dhU)#Kg8P|F31!c6%c8@oJbh4A8!NZzHRY7am78TV#}GqLsYU$U^fhuF?) zryu7(Odk$dkaJOCsk%IhN`?pVq;LGC9{{a2nE$gd{(fr!&dj8E96wf`$d8!9ZNK(O zWYS5bb%vmMX0nFQC2771+?(?%e`*3RaQAXUf`+4cmEpX3WGO`47Ne2EZq7=0P4Z>{ zx>3NoT)8aam!<^!dqW?k&Vi2U)7{*sDdO3MofHU;_7^Yo##zbtSi0MNVq&Ryu{9{P zlti>SYuv^uBb&!xEUGx%x6kDHX$juQ{hDc_g?t0O2VDY6liWpz*C=4yi6uK3>eKf`47Zdu;VXPE|(|WeRh(1{A~E> zi*g<8c2U)2o9B_l1(8C^Uy?|+4E(ev>@Kf8q4wbw#NO!DjH4egzJ2A?-bC_fZ|{-Y z07)7}1$>Fu48j|-M1#S&;IkzbDseK)NHVTX`_D|2>I|Gcmg4xNtMbrW*xxDWN+Ab_ z1cRpyujd89sL^%bG3Q%yOYlCahS5Z$;nbG~?OU^h(-^@bCUN&CcNAHR+4^ADkoB>J zDAB?a0XO!Or%lPPP{qc~;~F=2a0H8^M?kA|eJV`)dT>iJMcjl)wHCZfSxcuXYaECs zp56v80ZO2qNntO9l-t0s+_(zKOugd0Jb|kh3)m6?JN)+i!Pl18PLWF-;m&;`frE=Z z#H*Zw%qSZGPd#o6VHBCr4H^rJQT(5+|=*@dM2h68O+4!ThRDG>z_yY!*56Z#|mqA+{CgdUP6t zzc+IVQ!MAd$9TL1BdHoD#9ndv{kev=1XjUjsg5z<1f>2qKM;Dkk?lsb27n->+scVeL^rx1j)36M}>Q$1&AchPRM*D)j_qaj)p|G#&2>ahfs3iw^TPr z8?23f<_VmRfh|NQ7D(WzD-unOgmJ3$a=kmZneKw#GMzq?IDL(B4r8!pL0z)Jpd7nu zn9-ZKbj#L25~~5Upap81vLKe`)P_W-ze{PE<=qn~#tX8%*4@2W+JLwOb(1SnY4?F+ z3dy($wZxjIAfZ<-<=5ri;tDO5YC~||0uX_OmpZ+e)rp7`yN> zacQQOKY`wNV1FWS# zIsPCOO!0n&JA*k?OS+6+oC)%NXYAP^((A$#>zd5ZJT0ZMl>Ag7>}YqfH9J@DH~ITo0Qs=LrNkE0kM5WXGp=XcmS%06$DrK3o-h_p zX9iN(2Xm(OFIic)z(B{Sc&2TVi=V~!_g%f0A5Dhve1sb%IaMQcH@_*g1q5Y18b4rw z9b)T_+8#IS4y?hTRU0WeqkdgS(v9;XyA!`S0uK%=eIK}otxE&QP7h*YdQ)u^_P3ZT zX^IpYtPdwze{{aVatb`+JzomOx*CaXXN;bE$?WRd%HYulvM+g**Qr^NJcT{@Z&ETP zZPo=|R(kO{k@cw51U}BoS8_(Ztd<<7;F03y7ztaPGA+^D`jEb3fTfqIOqUIxW67!< zi^slWO8o&73+0#$ss*G=D*hSdr?dfBwNhpIm}nEPeVy7MNrUAN_>O&6&NWu1I_hi+7kCD|RoQ z->2aV?;xxOeajDWTBHw=yFjY5RJcw~6fsjh~KdPRGDc(k~cY>L5MDFHdq)S0QjXl3Yg?|$k?jZj^`?wP$wk{syChR8S>p7dLMftrbyQjIyoWq9x?iXV$wJA=Ln;Ri4LVQZL zY~)cltcn?{s^#SlMrJ*p6mBH;#ZE~4wSWTVZ<-&lda}=e5*}vlkW5s8_*iFRvCAQF zhix3s3187`#iu5VFfFShnE+7&YlGn`45J})XqU318Bj;d`Te6&pkbu6UXq|-slgZ< zj_Wn$*}$N3H=I6>xNTtH>izCW`qbZlP$h|k7M-VXzz{bIZc=izX$WOuW` z2x`UZfo8z%H;X-vFf6p^pZX zZgM@Xv}4p)lNm@Bks&4E>JA%UMe45SSlI1*tP!#|P=$8$4_f#{ z#42b}G-?DG=xo+RsFE>Lss;qPpCkVMZGw7H%&N*gX-;daVw_o#5wJBmyK`AOLMj+1 zha-D$2M)|1Tb``FNGorp0l(L_7?>C1$0xn74_0>6&G?~S<4?ZLl_XVWyxroFB+r@p zAa(ivw+U@WubllhiBBqqMfwP-OYSW1enHAhvygX%TYptH;IihOa6wzDNpf)v-(LFG zaq!d>WJAj?(M;Z0!qei*iiBjg4(cmu^4JsA#&?PP%9Yuq5oPeaUubFnjngw}GPx!c z=$;mOCUlfeh26W|C+Pm=>*hS#+JDx-^Ua7TXt!;(aSaAH)s^;HB@+U9iYl?9Z0!uUxf2gVNij3(iE>8 zOZ8lk$$6jpHobCBW*@DEdh&dCJP3V3$n8Lrnh!2SqE?pmIx7?Esmm?(5fMRxAqd0_ z7YN}Hr|+EBVb7Hl{b;E7>{vyBp_xuQb|+51Jm+}WU)P7J-GmXJfeC~_RF9LtjpR3j z37btdZLL01U${?S87hJv2wXEmF~kil*PVG1x#+Leqm>g4(jjqga$tm;sr5x>ma`;@Uv^ zx2wLYp1gn4I*v3dHhPo9h$3>?TVG^%N^omdjl(F!8dde2E4cv8;48!Peot|n7fH(l zSe0amD=7rG)2Vju?*-m~+`?ef5l7;$33h=yWf)PZJI#DwxzaxvJ29qyNWj{Hu$Ml` zkIeqCS*5KT($n46PX75tRwzD}$>J;Ko4B9t!F$8`%-h3w-~DGcaJLpQhlJTTkh*W% zDgpmjcMz=%>``ZI<0ii^_dqC1GW61pA;JmihGWF!4lk)2^PIk9L^N<3yDj6*mx&Z0 zgOAdPGeDr3@IjqHiW+x9{?~i-7&Kvb5!Xb!4%ks*k%Se9ZI8_{|6j)wJp|#js!#`< zDz>{j2b+nkM%K?8TW4eqbujs-V8A{)$HLG2%qzZt+mAa6iV)}j{iUxpO>YP1j}CX| z4Kgl3&;B-pQqqqlaZ!Os$pnS(8o^4^-NY^XO`g;8;jnxZN#piKjl>xvuQemdw&(?q zy|`8&5VAmPZR-5pjI);@tt7|VJ&jk^=1flU;POfJ5`vo)htQaPNoWq-fj^oI(V+OU z1h^cQ)lh|t>zTO$wG74tS}5j(KpWiJR*yVp1bCFhE>u#ma zF@kNsI*_>Zw><|WFV4b`)D5pYcOHBJT#?gBVWL%md-S}h;V6E;=j^Qo-bSuISZHFs zIYZ6;8DWU@C%6rG3v48z*rp<~$ppesmlC)JU-17{*Bg2(36L-nyMxRs?AnzRzmizv|oze$I# zWe4#b*e~4U;b`GIA^((gPZi@46unHRF}ZJiy$a!%6tY%YC?#x0cc&I4r~R2|8H|0C zJ0++^1`g*7k z+08u0zfRSQ)doiHV_qQ0qpn-%47LLsb}9I2DaVw$*Ce5Pq6#E^M7#M0kuw2ZO41`y zg4i17yss_fn&O$?qbs>4C}Hh53>C6~;ROkkQ8dKLWurTEP&VQ4{z51yWN?L(p|(p4 z>UsDX-jFaW1)b#`hb*`&sAuB4uuV8cKa@4+^_TViPg#beQvDe; z`-5uCbJlLXVnF#%ojN225eiQb1=p3+}?NaP_8f)MInR4NFdqLsk3g<6MTvRf9Ksjf>A;{Ld zC(TqWE3-c}S)Pz7PHsrnQl+I5lLfF}n$5luo=%0R6_8BROjsu41|ln$59ssjZ*xDo zyE|qDo5ar%=h#ko_ddxxg4G8Cn`3_F54^YjO6i7OX^TaHzKJxYvU+~b^t>(C=0cRI z{S^u4zBEiib@$Zn$IZ96EWiD28a6gDK^R^9&3LQ{Z%wJ3YE8k=FRE)QS7#c7MoI&p zV0|GALmjEKg-pmMZ8@>~4s;1yJ*tid!Go^=3mJsC#F)uw+Glw+n(kahtZn`ao}0w? z3HIg%W=DZk?U_H8i#2=S#AhN2=El>&U07(EE*JO;%cI5}w&jgWu0AZvFE<`>x!_$n zp~6oHPn_h9IKKijPyyQOZy|VyVBe9fK-my9aIr%66}Ae!WczjL%hEjMKwFmPc zS6>~VXBdAKvUCa?H7Qd#{X(&MUxg38TyElb)erEEV;)jI?42J~Dn6D;TJgoa%-Kh- zZv^C(83%xwlr+B{*$0U0mZZKbdjSjvGK;|wCHv&Lx_aSe?z@X*Oo-{UKrT^B zF5nZYG)Gz*FKHKvm2tkz&VXB%o1(^85%o@Hhr87yJ(NOPzK^|uWq_MHmrBVq1etbC z>QZ$_m33~O$N9mlPcNXvh-^hH%9ETK{h1?m8oJi+%`&J2@gniCn=+-@?D^N4swfRp zRs1k{$?;$XI;&izqEdg#nfgq9`&rM{z6_A)VKGgX{~|6HGrql=*11Dffx?ss%N@;9r0D1ypt^Q(0}U;klh(u0yTCwro6u!>%$B4s;z zn(r;E_@gGX=Bpd}e-`AF5>4<4PiNpa;3zEQzjs+>#+v!Z`xTnZW$E8JIy=G@SOwpO z{ZcaGPFJRgXr8P0ZPCQa54TITT%`m}?F#_mO!VZd2BuVy-D>vw`{DGpZT9VU+YZlZ zSCNihaO6W~okdSl*u9GMv>v&3I&JeYvPeZ;;!hsMK1^sFa{E(9JEtK<(Tw;^r)`H7 zhdCGLA0;Uv4~>&g9PYrFNqMUXxe-8{3%4}2k5Alig;J~Qxv-6Cuo5$Kk0Gh+DTQ`> z-)0}77EfrFW-xUIt^vdXb)|Vz*fMFR|KSvG<+@dbFN@XJi5;h6ye^^XY@Fq0VFhy1 zU%JO|dUJng{onhbJD0pM7%pCBBuvon*EoyRGyX*uA|o$FwjqE>*V&kMlS&nbl$D>{ z%bn)})Am3Yt3WJkmE4o0+;a1DtEZ-Pe_xm}B9~gp4@{q`Y8zVxmrDi)a0D;c@Etq~ zz^@}^ol#ei<}}S6x%(e?|9F`J^VwJa8K%7)s;nkbgCgOsCSh`Qg5y!*0!x=3rX4(P z-nI%0jaY!E5N`4Hx<}k}-mmz3?QZA!Fn&sHI}68{FT8gP+8cylUDpxo=ILI&4M-d3 zL(W7ktLblix+Vk9m~u1wwuXuBIFG3;^M`ZsjVIAC7~t;>&OJ$1HeH3`-m3d>y8OKU zQs}pZ&E((yrYDVjL7GDo3PrA*9JxK5wH&5;hPyK6K z@Qc9@AuXkRO*(T%`)}-4CzdRLs^Y4A{aC6G8e6EQx$VS#C$kP+GBGVRY{S#%9o-?M zL5_S=Jk4o?c4sH{&nDDVGqJK68m8$&37lVAkd2P*^)}6m^4Id7`TekI#y(T8V$T*CT6U~bIHFwuaLB=eT>EfzY>!_%n-0PAvM zO+M~e@3zM7XJ*Ql61m$O0`#Rr0l8y~jr3<Jsr0rbBH{QpW{@onK9QUN~_RtP&`T+NIyd^uF2c?&i^_dbSUbn8Dww-1-%#KT!w zGd%;UAA_Z-n6=#yndLX7PtapLvO&QG;T3fB+w(1!9%8UW`%w5Va+4e{nUuI8=M|^$ zkN2^uj8W-`A3VDc#TRN{LBs{JlqSreTax%)y(Holr(E%{biyWV=lW*SFxoHKWn2M4 z-eDah83cX!-@^7)b@kNl>(-7=ziswg8VH=jQ?Uc;EOUr4`k161|x4Ic5 z`A@v-0zoz_DlIER{M#7z+0`yNv-WrW=rGr6&+b&Od5Y>8=*bJt6Na<}D0rrArbmp`&L)FCQPQ?oI<>Gx8+er?MrO+EYxNZ{*uUgP+0lH z7Rpa&?M_OcUZm*mwUkTo`xki+k-&>xt7K_p{4uQ!7KEiU{EPf#!g(ZFl;@&vMz~8; zA27lbhPaZFVng^weu-9`<~dU!40TpSfM2lgyq)kF$4wzG( zd9-xu01Z$e3NTOy>7F3*ZnJO%>aIpqVZmZ5WdN@4wxV=z+5U?}Yj2`i2=7TmlM?Mx zD=BL{M2e0Mh1P~waCI88^av!}tMdElsOC@;k)VcF)LyujSq&NQP^#2a0lfNty$X(5l*X*&shCB(AP}3%Ct8rWF6U( z-2M)^+aJi5jvwZbp-FQ=$f~v>a@{G$#nTr;Ii?c66EmB{=7M7N(upyqjyTtu;)Xu` zhaHR$gw2Eil9$NYP{*Ai*Nw*o30UD!eawcPkpW(2CB%J$T2q5e2XHOW!}6{(kv2nR zdX-($2~%*_emN6K6gIHnA-wp?@(qFQfTHCr93h*>#3YNE&UpmJ&g;;)mCkt;{lf|F3#(<;92yK1<2_8Tsv3?y%|ps`BbS zCB#!kgpwn4e>};Tz2r1YA*@rx8EjqSBl$$V=hvFQP(g={rD?i8{%-3cPpf)5i{a1} z+ec!{<1eH^BOLqE{N@2s{WYak?v8R}ihB~&-K+i&%H9O3sq2jwJrNYG7V1zH#iR;~ zZBaxh$drRsOC5vSI#eYpDh^0QL%FzQ)MYWl*?WKc8-7DO+WSO6(3C1pgR0;l$$8ftHtl;; zs5=2QbcI5q)WwB4)HRL3P#mYji|ne#9rnDdUJi3oj^e!A`PZ9PVoAO1k8*;2{+WZS ztb+tpr*%T8Pa9~rMYhid^G`5Ca;hr)@~R*nmMm#T4wfWQQ^Y)T?azhd)a<_i4ot*A za%y-a`c&`{_${211m?7k%~MIWjmY;<)0RFVExmybz3Khad?0G-Ig;wq@dSeiK#%*5 zJbJsn;9z(3GK)@k(qwz=n=*0gr*7y|5H6-c*3&b{{6B86p@DEBA-8@oiCrM<{u}xD zS2e20%6c0O)Gd{W=UiyN-#oP!mtG~x3353!3V7pEW&p2%Vm&Gvf!PrmHgoG{_K3^` zl7de8#D-uemmd8yACg0s(3IP)>Wv_hVBA6NoRP)@AtC3LE47mI%W}itdO;P8=;BL7{mPd>yaF=G`np-!XS3a|uDBuE4BJul+doz$Z731R5pcWR`ckf8m7W$5(ik z51`LhCWlE;vMfVGsIrr}=1&?R&tB3=a*)IPj!WR$MI<>j8waXpA!$Jx%v+KNAB91a z0I$XKkrnQ$8{PzEW7-Iamz909T+4hEsg%NePooAC*n2Xx(=sd~&ZKeaq6kL5wG8t@b4uULli+fi3DPn$~QA@T^zJl%bO}kDy1Zpg95egw!N==YJD($x#2SjWp@#G|cT9 z^!Uo6xu=xr1r_?8Um(YeZC60UaDfpv<9rrpLCTDijU4M=^C$ufJD*i<3s^E{%{$zQ2$fWJm&@@^nG&O^;-tGj{GNLxS3>8kqqE?iUepOmBQh-fOtYjlIl`>nADv!gem_ zT24TJfJ1o}FZbU)uD0HqErkDDHW1a=l){1<_D1JtgT*JM}$GX)A`G9pOu z2iv*ui#LzgFJ&tR3w{Y(@9<~xHOQ1#Q3g3Y2E&;0!vcZR(zWw;t+MhL%$$3g*gJI; z#{2hxM1WfK$WKrGL;|{g+d1v(68vS=4ElcMsY{6|GL8>vQ4f?vhsyr5)_5)XTvXq5 zwBJ-}q70i<@Z}w!kbXS4$H~Z?Uy`%!HkW9J?@Si%FR`$xw!AxIe=WDthSZC0;4+G# z3ktO8@;Qm|7C`bg&Rc5~dzv<`C9VYloChj^QNAezqZ;0QWL@)6!p_F8-@W5&ihSup zxLf#ZfriL!ZnpQk*jF>@_zJg8FXI@#(C#HVF((@P_`)&OFPf{GB5*Yy_p*jHitymX z$WwK|>~EO=H`;OG+x@yv)j15k2A#3%9zM(g%-X@$#gOB3wkQ8ZvrsJPe|9U0t8wuh zi$jth?{3(*gO~eq7#$7P)&n`txAnD5IT2J|i;hWZw#!^S#o0BjZ(&tyWbWtlq71*y6_nwD0Hv6u0h=9iSp3RMHCq zSq^KEn=YP59ok$Is{X>HF~m(Yi^r~Jg1chXD@~M^q1$WSI@*fm#7YUOdKpw*fFRm? zwy|clfL^l7GyluHheY?$pv2Be6#Zn43L^A@mYn_Ohe0wp1r3<~oP&a8SSB)UI953M zwG0|c_XJTLn8c2Vm1^rjnHIfA7hJ5*T>|WR(dU5}%?0EyxBEK6`U*D##9AC{TAIhGX9K*U=0N}<|wk+TvcJ<)=L$N~8fbDJ^^+aTl#wo)JmgwZa{)1QKhjb1ds0;~JN zaa<@REk>f;0upP5j)mi)wSuD?gm`Kh7@W;3>oBu0iwr-E%t_4WDsTj6l$YZC7o?26?8n2*>K?dhL>zi}@G)p(t#qgr=zNu0+3tZDHf!C^ZgxrT z0YhAOnZ3!N;6Zgs@i?4DYzGuk%X6^~#Tjdm6B}7D>EMnoJM?eD6Pzv9bX$m%_S4y4 z%({Z%NDi8&DC1F9yhK($szf{R{w(~2yIvGbGtX>9ez;E0!Wlw}c9=+v0oiNUZR{k5qoe6P^`@qre%l;S9h~#-7(xMl=Ce8X0GW9RwA!sXv%PdLcze&z#EROi+ z4XD`MzmSw%B)eR|;LDrkkotR?fSdT!o1}uO(HhAHc@Z~#8ekx;z$;zxs2Tv;|0lc+ z>ATW|;3SGRfN)1SuaLXK2afX;E~DwIp~njHCvI5PsCn#Ub(R$J0`&>fydkilEaoy` znLgE1abwEt*%CwH1ak02li3}o@k*13Y*U>NY2M2|M+!k$+22IEOO-ju&ycwNLz7Fi zDl==V+fr;uh9U?|bhE`^yViLC35vC2ku+cOqx*9v}2SFZ{8Y&`oJT z{fO)&Cow;m9bKWxK~^tnX1@93&sY0#F&jnsG+Pp~&_1b3^YMbGQc3vNIBk51EOaVE z2P)a7g57#WJQkfe3B1>9J0JqTj~yY2B)ZObA@f(siqmIc9T3p)KsG>KouBSy!num` zOpdUa#C(eSK*}8AmN}g_bbC%P>Qc}#Tqa5T68ZUYC3=nEo5E?9OBi2F$DYN>oy{S$ zUh##EY|u=@;oAv&)gfPQpMjbEMW1BkR3K)KN#HO#B-Dygy5BwWA8{%o=4}e4#KiS}b%D-ch>E<$Gxa`5E3|NQkO>`aN*q>S z8dlXVc{YL4q$KO6#b6E5@T9m8w&IeEa?N*ub_cav*=1(-3DT_8^KC!F*?p+=Biq={{%&#eQog=66`S0kT=LwO=qST?FIhNdQAIo_ z`vzoi)*+!pE26%*fIMtX*b+oBs}Skavq6+y+lL4@EGT$K%mYIObt{X7~M| z&aZ(e1H(y`NGorF(seu47Nd9tXjqI(=YcKxK{IS`H(@m{mdIKRbEp+AXOU}y_|>ku z{THYbY=eVR(gJovkjQ%I`e3RWgo(l1Jk0)ZU9JG@gj!K|i7QfG%0cWo#N*}AVj&bZ zEk=Ja+GEJVvcdmB?4)ZxX|(jEc-&jX@FgAOTppd!-vx+Yu8BI|u z7MO2nD_N1yg<+V7T*)6Pm zD14HIJ8Bm%2FW>^jTMmx_eEL&!E8j>nQXwge%`o<@%&-y2-bZDlI?Tqy~5vT#+{?J z{V;J3O6&q{(-Wu!Y%p2UO|Ajx=SyJ@`dn);(fa;<7rC@tVq0;fJNS!%_ZEiia2IC0 zH)>awHJJ4cj4M#>B&$$6)6f&<&@7xT7;mHC75eplKfd=^bTm48s4CZg@Z(#kcYN-n z&}VNGyoxo-)U#zHS(8}c{7Zzxn7EMg`6uBetoTo;FsB4LX0aEIuvl>q))T2?-_<_4 zuKWyIb=EM{@lWWjx zv&`w(gB*qdZd=e`5ZN6ZS9@{R&aTycYkS$ICS6ggxExGWPl?GX7RBXfbDGMET5FCR zrDRMKM6r)S*L&z27$%l&zlx8_DM|U@TiK>>1HMzSg}kIGQH^X&{5&Z zD-E7k71$k}nt0>DN5f@1_eCR$pxpdSS^sfu^0g{%37e3^KPes>_tQ+$aC>E7`(Wh- zx^Dth^YMOPfxFWlgXIkIjl+)mrE?*Z<9Br~_d!82;Z&|{WQHJgUW(tMxIan{?z^l5 zQN;fEjO7aR3`or-Mc^3;Hd)>wv)@~;_7>be>UN&s<4z_B#{9BeqI!K6-8{jlmYfcm zoPQW@Oit`9=EmO$i}pyp&3gX6!k~oo3-sw8CQKvkmHu*~B1gMn|HZnq+L@!%#TbVV z{*`*z;CEuaRDwjF-(VaqUEbQ)(97nbt z|C5s%vr<|eUMj*j?|QeGnL zdq1cbx8Q+y#?d|u_R*FuOO|~vw$ABUg54zK_;)b7%>zBfK$!L{UJn88kef6~JUMm} zDl7*F6{10vB>ETGrudGO(>7*Z28(0r*w)z75DZEt?p6$T){m%UrvEh3uP6K`ck8@8 z%ECjre%w*T7&!G{>m-cs00{T2%2jUzcCZKN5Y`n^6Qy6+&piwT+t-jU#ih(mdp8%; zCnR6*1@SFA=m-l-VD5&^O%rnGrUWc}=evH+3orJ-LJzSm@i}o5U!cN0tco(JOV~IM zuL{}xYQ>O^U%H|P&oU7#&{HnR569x%p@J^+)fvR@IB-oJ1udlGbE1LTW%BI9v(^%?i*-VIHwD5?Qp|_E z#AE0mq{_25|8D$(b>k40ggFdB@8&z zoP)IP8f)vBFC%eE;>Gbh+726*B8&DI?NaG573_?a_s)_oZ#$h%GSW z6pnlzO(9?>@21}L4-D~GeZrV{^~sf*BXQHNJooU8T~4Hf-X$g z>vtC#BRAVj$bnUN)=zt%m>dJ$a;4E9?4~}JSv_s6UAy3dVTV$Nml*(z`ZnBGT*{PH zmt2@AHpdloC2>KdYKvol?zsX6?6H++%XJ=aG$oneMhjaY>R_&%jWS?3g*l)L{_1_& zPN-g?6}Wf^9+GRRV%Tj4Ix7113-XD#96gBf zKdE#j(2|MZ_*wXc-{h#$R7K7}JC&9XxOkm;1OnbVz<`WfIOcL5&6~-l4OQ_wY9{%4 z_d&M>&y?cJLaJrBq!V*`2ICW{4Da74Cb3I=Ek+gjX&fm2r7y}+at63DIJUNh`5c! zmr`e2r>sagVEyG0b5<0U(Ng0^v(a+te4C@j2*O^@*e7T*vlR%jfLH=GCZY zl)|H2^|Zu#Na~68&AtOc5Lk`#Qc#}fseciKm_pPiy7{Gdv?*iO?&%KpBc>kY3p($J zV^G@~^`dBjWDilmBqTj-m&qX%A9k~_BuIM67}Is=WF_x+pK_1EzMQ0+_+5sPK4N$Z zbaopSNzCuiNiTq>0eYCr4lqA`7zelSnBgu!e^{J3=>OGexWcquGl?F?>EK=MZB zn{BIt^SoCOr(;k&xSbseZ!9048?wwfdhXf-kIN$b5QEHXR(p&G$JtTo-iRGkw$p!;=EfT~I7- zFUbD5aO}6&UNQ6MWf2L(JxM2m6XRwAKXJKEAeJ3)^~5X;wb`V3b1WWNJt;{BHSOOp z^Vt?lBoSZQzOkq2gkp=_LLmg+O+W7*<9}dRpWhU740B~f(vATYqGTE>?R90`!V-LwWouHS~2R(Y?1QKl>j+$aw?>8q^ zu92#wUmzEV9cK0;rmJa0qyHv?Dm+y_gNXHbT< z1S?5#$*3Qwm>oiPYvo8D*_OfbQFr#H%(@RNJ(9V?s$nR&*i-Jt_bINwCTzEfaFgwk z!V-B2GiU=A+Eoc?bxi8&B{1gyOeEMU3de5uU8&vs?W9NMnOS9c&?S>WF6&c)AncGO>l+FH+NaiZ`*c6MjTR6m>UGO8+zKqV5lc-txahhtCf zf^{*2%?oS9R5=y{p!A$7piQU?+j4`l!Np}TP=*qx5;i5Fos5RjSL(lW;+YV(5kIM zgW#Z!5S~Hi)d(q6OqDf?-;>M4@k$-y{kj2v9Vvz=g(@V@g$|VR>Hw^P&NtgYzHfo! z%buTyd&hrLaXPSu(j_r@r?@efv@?;*Z=9RZcpqU!D%VwtDiHa9mX1ZdZv7Y*6l2D8 z?W&RE!KsqG=t2j6mJUj%N(x;@6y$#n4q4V7GC3;Yfb(Wp72)xp)g#pS_zM_#iAu)niGlh2mt;kP?%OOW52W5X4P3@2Bso0*)l6AfC36+h3!m8; z$a<2?ajMvp+zjNC-AQaFnlR=kGetuf7k7nXx@H|d&F$&ccVI-0HxW1{woL^3+1*rG^T|}9p5EuLEI66sah$4G7^p%;3t>MN z$!aoF?iE32Q0lHcZGJfBE=uz|kM;_KFmI8Rsu)RGKsaRV;Sew@lsIh=qzcI+;5~gz zG}H%2+}fW!NWd568z|`w$SRjh-Z9oYw{^l;E2ri&&Q1kPn0bDv-1KObJ@pz+!>|WH zn$NU$F1P{_7jji;ExVy*c44ACIApXHO zce1hYyFAMb7aYBK6WJi;Oxwy;qK0-8IUYVUDuTP`GO{AFs&a>J+NM|DJ%qeYb)?{? zOX5_C28`}s#QY;ZGN)}VkalvVgV4;Nmq79sAmW=}BAc~XO9!jy`yJc&L(pQsQ2{;N z1@KY}I*%)@Wk8F&x4uWFq(`QbO=}63(<+2#ObsorC_C%vM+AL(3gCU*Y_fU^;YFP% z70%wYw(piqIqbYY3t#`IX$xq~K(<7GY{C&dHpH2JFf><9K6cSmOjsBl%Z<#TN5oZA z$<%tHO8Yk{dhMNLr9jlz=pod#9pURaqlrDAV%x&53LD3IQ7>qtE!cKL%j-KdOr#r1 zT(+~FHEBrUgay|YC+7xozZ+P1n`@HwKV(vjCgWrx_aeC>*xx10E}B|`1lMZcBRRA0Y=nvmNZwFZQO~*YtGQZF)tZMUjJ4L@srcFf&#yx_6+P{CNj4PsQhlS54A|OjGZ( z&aRP>7~=$&QZdRbEC`88Lq%bRKYlCJ}x-B#KMLULos|02p6b7Do52f>62*}6SHzWzK+$R6}z#AtL}>=p7= z-5u^znaAVv3Am`|r%<>grU!!VXH@-M*<*TF!+$r8G!3VHx_}&s3Z;D(K@^k?Bu&~K zW}hUWS&n$3awV4?y1`t7{O|`%0~A>*vC>xSEz3b@n#+)aV`4#KQd0ahPnLgySDCB=wYm$J9#ei4bHDVA6 z4kFRQSR27JCq>*vd;o+>U?d!KJPR!F@&60EVV8?X!a*z!gFlGHAn!t)))tc3CUl^< zHh?`-17QGIt$tbmadHM^A$(u-Rf@~s`7}tv?&rlfexT*>781( z@Ko(Vl8S7?JKSICcIPlGdlZ!7L~_*$m$-WC6Qq_VTbJ7neK+zJutl)pcA`f(Qw7?h zt1E)4){gdbguTL86~S5tRLg(PD|XcPU5kZv1N97D$475uL+LOhXSI`q_$;L(#wOgE zRxSr>(E{1gOH z2?g{)75_WwtLz4|^((Bd$vb3x=_a8jsNk`Ai5aZ=qt!+!Y4;5L% zv_a{{(?>3)Us*P40W$AOmmB{6gHZ9rL9Ej;ECw686DIf5lYAj>Sp=E_PjO5kyF@HQ zPo_-Xo4fB#6m{RDV?nn%+Cu zzDSt`yNm$s-`OG47m_w>2#W1jWFEiXgu38?@kD-Ln4J}Efyq<`?ETE+RUnSOLQmXW zR%lO&Ct4v3QmR$z3rH3Lo8>NftL579BGAhw7N7SeuFeF zpu&hm191US`VC?bqohhHU!eyE)s(wM5X}~`Qb!WW{-O;qzC^lT{e6Yho1v^n&rupA z!mdKQSgt!oE79XWC6aHk0w3BF2c|d&edy7`>#UFrtGQwom?3`e*yz~i7nRz1=WER8t72ir@gw9zm84EAG!wzOxY0I>@+fC8p-~yj?hhJVKrsceC!Lv z*T&ULh-+Ai=#E?nvNlr!BSz*yK_M2R1vGl0?btz*%)2s~D}bv6=!IEj!650i#Fo31 zTb)HD5&&q8px#OZZG-Ov&0IHn6{Q+#{dN$lSdHE9&m4c1rMC9I>}AU6z%Gas0K+wS&xufxrS2wL0Y8SLi-nxu5PttY zd~my#oo)I^T$bE{*<#MtuHm`^ncM2llFO~A&3eLLCE>t~vDo#;S9DW)g!evn-+!Bm zcU*sW2umOr+#^k}_K(|-YjQ#@oCO%f6lrJ3?7jzLSjPdI^t0jKkcym8b*0R=u3V^`79O?998SxJTj?G^RxXj|S9b?>?K_t& z_A`C1aiD9lni3G0Oe|@9Ot%qHbZxD3A;bu$k{(ME<+}ZnvHlOb+J@cE?;W)c2j*8( zY@%*z0tVq^cbLjZcE!!+mqtRouw(* z3NF0ZXhD zQ&3DWi)bnMdL;iQ?=11n`aOSRhkyGQ*FX!?Zt;DXz_!R&!yB%(dbUQPa_Bdy+fZyU zRt82^yN}jz8I+ZN06K5r zrQv7K45uEd7MCkSTw44%Q&zxw8w9k3#c1Z(%;0fMB?z$|S>Iw@?^iz~7Yf@V_F!og=k4#;BTs;&f+hVC&*tZ^3#=Uy%&4R*~Aq&ifbfHaO3I zHk&c~mZy8h3>+wD8buqCRs9tHMf2E;f!lB8%p97E|H{vu^i?0`YL4xQEr5ZN;aBbou1P@;Y{B)`UPVbLv<2`+H7i5^i*7mGGZBLuLhftK~0-6-xE+}nvzuHF( zFjMm#Y*m=}jrCiFE9FyH%FN2tp#xX^Z)d47)paeHv&ja9dOfCZW2fddkGuR*XZ{KY z9WZ#a6*mWcwolaD0vT=4$1frFiChCKziF9IykFqWxLh#UDbTm_1SW zBsbfeX5FgGd?T{v^3BOrxvn6;B7Zy3(&;p!HOU_Waof%BoGz#!?!HtL zwWlhFQG$tHifpV-$DH%9I#WKzs-;Jf!=X#tZk~e^f8>a#rsym-5AIrV=Y4*gP;N2l zMAw@ZBEPPL?X>a*{jik+Ai-5HW_-0PX*bt8&L&Kqo3h9w;IOy({6gJ4Tiovl>Qb7%b{hEvHPjN?svZ))1bhgw|@DLj>=k>lse5K0|ZpIx0v#ah-=;Jn>h6n^067Ibur&x8t z-=w2EDKySWdUERL zx@n}_ynoIIE!`os_~nw$9x9|9w1&QKZ&o}Mmo6`K+VEChoN)BMt^CFXmC3KT(V;B} zwm>3Osbc(eq8{Y&^*^5&*;ib8WwcG1%+;eM>tm7_F&s-wK)jUu0^G$uoVn6S6}y_l zk2dGl=MI)h$)Ogkjd-WqhNlh&dlg}Iu4%NnA^tn=)Rm53T7Rvgu0uh^=D(MQ zwC$y-C?ILr7UF#5?vCx6v}MWJ_p#(;ZVA@F2669pAP&xvg%^g6i;8W3+6XMyg~AI= z{sO3zPY1~uux9j@67I?D9#^ zoXck2h9s<*Iprmc3Iyx?;Io2EkfGALB{8lx0j2}{y6EdR%4J466neS!;B6erdn+QF zHDx0qUf2^XcGAgX4W7A2(DqwBP78;C3tDS@rpp75gNEQ!%Zflrv70HQ$ON4>>&9P*R z*ySJ>x|(KZZ&`aTng89leb#;6kjRF!f-$d<32w)3HP`nN#?cvHsAXjrW+rprr7RBr z8y&T0;LsOP%p<4kVBgTC!tio19INEDUZMOjU;E%j0RS@|?%bA5y{1?29&GRmnI80~ zby4Gsf)guD&UTtq{P{)t1@C{t?FyAruVXmkF2MJ;1L{LcjDA7 z_MB;UYdWJ(y2Vd8Vk}sY`rpm^?Cx?vPouP#?4!?Sc=~KR(SEH;tgpc2I`x0VJxnt8 zfn9H;mr$geRYcR0XS3*$@wCAaNuzb==6`~?9h4`_jVchpHjA3s+jmc@Sa4DsaizWS zf^)KD(vlq%V38J-gV@uEwO}j~NPEjrm#&>f0l(*}Opy{{wMITbQXmw7WzA6+0n0bT|N-6DBEt9c)~^dg?z;#_x|bh&y+!GCKD?(I%@d zUSz7Vo^Oq`To)W$*X$rj4jwsz-R}zD-rm}V@fz#{4i=Y{5Mlwe-??`m9P`AU9H)M^ zkjJF3Zhod1y@th?ORC3-tz(D*z(_tlz5b0pAyQ|!yj2Z7q5amaAJAsD%;;$zk2O<- z-!wZIHdtn*%D2?=Cz)nzC}6$AWvwwsV150v9}&jjV~*48 zhQBxdf#16_+iLbnGDi>2e`~wO;l};#to}$*o-CsusfQy-p$%f{G-m%Z$_4Bzf!ofJ z40UGw46n7*(O3oT$k-R;Rqs;U)Y11B!GL{2od5Hgfcnt#E|jQz3i_52@8U;MhKqzT z4AcUN*u`-#hnUm?b0Z{Xf8E`&D@rS&RO_zijIsjdbDpv$0IQsPWuSM_re%Qf@L(rP z*j5vOL{Y6uB`ZZ;>_S``!dJ}jB8)rkZnvEm0?oN27H5eid3VNn+<5m!etGeY%j8_y7ao_J5@3RRn{Qnl}$t5iLP`-T4aVG3%f$z!SXM3 zSaY{Jkz-+~a8$ek#P*8eqG*t!a?uD5mQcU4Y23+7o-M6hnZ{iwpN4dH(JdnA7>sbA zup^t}ovmNOnRS`Pm8T}__%P)<3Yl#y$$)vR9n5M8eXImJ$VgRSg!5Sw3pF& z;aq5oO{wxDf{(8DOGS zG$QNTVZ8b3PiFYKAnaCRqM`Pu<6Z?5dcy26*Bh82jn)@RKs7Q3q>o<77Q)vNY_((` z!%zmj+Zg^dW!?eWPy~O76+^J9t<#a>K3|zPz7=F$O!H*Y;OB7L?*xFtPp=Ci@SAv~ zS;G~L8n0ZLzmnF4TKEc(3=;`=F0nt-R5t>{Qm%|Gr@TICuxm@1-Fs;i-_%9Jmyj#u zeAwKVUnBkT8m)27ejOImV`Zb96@;>Id>eX=J*vA93>*;NgD(+(m{kM!i+JJmnxYJu zvRZfR?MeKFHx^_Hb|?)V4wb$k?oVp=bCOEgSC zOuwv$cF0@0Uo#;$d;_Us<)i~CQ=?5QWyIs~L-zAukAr_u+EYg zH~Y?*;4Ub-Kr3{2O)dInG;*o^6g5bw4!a9tT|yjt3X=8^F?~qiU9vBi!Bc{^Y$`(} zEu$IBJrHB`^B_LpaG+W0k`&hodhff(ZwWO+_Rp1ao?tTf0-O9pUSA6Nt~G1G?VJM~*bMT!y^i^%dMPeI%Q&(APX8BuXVE1>j zaxdL>*#c^C_0MO@C24C?Cc4*qUK49DmCP0+j#A{g7z)R?+MbMlY=w}nGZZ?6mOl_@T0-0qh^Ax+~LCUpSh?e zS@xZ$c+TUHp_nG7+=q1dhxEB=KfiVL%q5|{KVeP)tQ+%mKN;=B z8k}S?9A$eNuO)3P@)JA{xG8)8EN1TtErNc>@-he~UMsPRuX+eJ_bdzj`dJ5}WUnXo z5~jv_T_qks!Dx)%kjw3u#t)+14RpCmk{1JNW}5uqst;9ABt5ny8p(N}0kN%}s5A>0 zOVU_CVo?>ul%~wO*Uzoe+W6k}0P5dph+RNzvEM_Ui;RifZqu-`;)6upEkByM3O0Ol}pfu|1M=2_ZE<5N|`GRuh%Wgc=ik zD0B_-?|XtoAL7=So9*t5ss8`xSowcuCXxc`HeUJp!}+A)Ww1@41BjZA=^lsLJ8B* zOZ1F`RYYmbq+sD&v{!|H zPwcGr%CqhU{HZfDRblnm$?U`+1NZ=V z>>|V(<4&xIp7>D@+?ihwnCD)RH)eYJBD=lYU_i^mE0Q8OoBRtWZk4R?E!4KZw% z3?Yz9gcQ>haWe$9-*R@DzW<{{dxL}1xQcdggcv0*-W@E5%us+iPDHj;T7BNHjuHGb z``TV@GS@I;6rGjzVCEs&UZt|Vc?h}db4MBLlG%0Q@k?v=p3`+@Rur!^DCYcZOT07Y zb!%>ebpr_awVXp+BKfvNBG2!^hH)RqzuN=jhn|M>N0YheV7HT=ofW^mPNn*t4YslQ zTJ)NgYd-2Qgi2!oJIecTQVi`B=Z=1^YH#K?Mb4ojxSEY{N*nk}F}()Hm}hkD$ZTQSXNHZ0Y~nBGtI0A{OE9TBQ&%{(hN^q zsnU3n!=7!P#P%UMHe{XE$}n3s(|gnsm2w!)LRDIT98t8-OPMgs{Y)|+6eNgj%u}a& z4@|s_9-WIhoUu#^>m<=G;)bt6LVL}NwLfzQiojt~sE`@_H6JLVX~?>M?xBpPi|!^W zjfYo8rg?Sf#cs0@@%~m}k3lD-@%ew*yh6TAE)sj)p3E!;iCek0hv3OhT|j>N1=rMD z#oi{m{zEKWV9+wzvR@>D0Yz)B%>scE{)?n@8^E~mF_`tiO~tq)>J>$S z$jd8Ow%-8zK$n|Qv3w*kz9+dhWp*W+ub2uUxPwc!lT7XXCbd(J>s=P2#Iu3U-2OEBcq;LP#cN(f7 z%v2k`)ZYVnTFNk^Nd%Acxu05<7z-+%l`H9;TuVf|PJLSSyfzUUR43t95(v#+GU$45 zbjO$WjS?5;;7sKRi#9K1!M0B{|Ha{|M);{9kXTiY8k5^!*1epTw3h?lEOTR`SSA!k zvjhfY*8y21m~omPL1lsV|BLJuH^WXbh4aXI#87r^jvMEeP>?Dis={JFtpkREeZK$;?6r*2UM?7Tv^3URpWSgS%n*V$9^u#H4uWGz3o5k^wmw z4)CEmR?+NJ_K0L?JdK%>fDCg+hvz*g_GK~LD>ow%u;Lt>~Sfs z`^7Cu7%ziWn z%31FBC|~Qqk0M{AcO$=Uf%XAW)@}yj!Qj|Ngu;SMGZWp3ow9%}?h?CwzrbGJt`VC> z;n!daHUU&B%0^{fIZ!GI0qU~|Sz8vFuf?QJ&tNKSQ1CauPnp`V;vtk>i(qGMB>bPN zhFISJlpu@WY4?01@(>OrXQ*W|G*u6RqLcj~5l&&TAb?#(=32Q`y2LcDLJH#Y>D$vk zfjlcFCd(AIkFX|DM~fqun$rmr#~i^SDu}9xNr=Wo4Cg!^|+Xaa`gceDk zmAy;+Nu_z0;(DM~oB^4mKYX}JL*h@5Q(W4KWG0vlB)V8*(ojA566srp`QQ!{Fi`|3 zeVrZ}&6nLf%xK)So1ewKkTlBezPV$ci^3ksEcg>C2p>6c#Ru;QJ^x5bQMAj-ciXvS zl&|dt=ieIM5SnT**D!w0Ki|mNtk;_dV z7up}SX4L}lmQDyi*@g=Mi5oKP*#%O&A~wznASQy2aU+}sakPx5(kl2-VRl)HNcm(Y zT`S`2#gblIVl!fQD`EoWs>q_TFq$xu8Rn1~J)OOT<`t(tmtruqOUjm!PXkqyER28M zIZbG2V}}sg7Ou!YZ0stwW6&GQP*Ez8Fv;leZ%gGxgxFsKxmnJu43o@Iqf^LuHhU=i zFTR!uU*qp10BsPVRZz1*KjLZWLV!xcT+r}oHMN87Fm@Yhd!ndsRUbj;2N4wDYct9p zV_Zn#31RYo%0WQ&=}@SUcnTQ?f)xa_oZR-LjJL3d(KwmyGnVxUOhJD18}*aT>`cTK z=ZhF%{7crPyF$VF!omt>J!XmR4%*+FdJ8_pf&ey;KS%tjwt4KvYFk|&D6s0<)41I5 zBzE!_$cgWW_$&n`Aw%eqeYPdoaX|F8R&?eo_5gr?s*IGLlho8AFoWI)*q0b!Aofb` z80#6)g&=gMa}_ZP_ES%wDyy8&CJJCI=W|~XwDf3}=@ByslQ`9=RM17(B~|F$IQZ7! zL@-WObO4kIU`iTcZx&&f2Ir>)s_W}hg1IycL(Ge=js--78{?w_gj6Wd9#o_ZdZz*J z8i2GI;v(RWU$ zl$vlniMygU0GPS=XZ`KCF3(KYcQAvGVi(I?9FGMkz97xWPUDk4xD=1j zSqvJt5trusNel)9nO8WC6hk+m2X$Ct;CkbOqi{B$zSYAj-s zbsZ#^c?|y^4jvT_mjDOrg~al1k$)p{a7}$r)fG3P0K&hYt;$KKH=1@&IP>lmc5CO( z29HNCrFeqq$Yvv7RMy>U4hi_ueS1#(VA+(N=8c$`f#Rz~H2r3^Xyn0!LZ@a;YZmc^ z!!Z3LaeEJMAj=}YnCx`~i(vZZ!iM19nVkUEMBQ8Cxq5OoOe47uV!)=%;(}*mAB#30 zZVRp!o-urQa^&t`$+?ZLo5~@vdRyg*+RmJ)_Ec|`DcjzefCXkefZ%zbDI&%h$`ki9 zj77xKZ3nj+1+Eug{${*g)b*w3uWvqnwozIkS@A8E#&5I6sZHgUQ|V9av{qvcOdcoL zf=B+kIS{^V#Oc10JtJ$dG~h*-3pDWvu{HFZ8Y@|}_Mf5P95z}xvyy$JH!l1`nAQipEVyb^Q!U*S`TD1KBaRpc@zcZ}Sz9(CRf3B$>RrMa zqe?ugmbH2GmSjpzQ7QBe^hB0?B)(pp7DNdX0wAvmH|jfl*{QBflz1VssRkN_cs5HgeD zoW481|9aQ+<@vAYlWVDgocrAOzW2WNwXbU$(_s$rWsPfbUF?d7+o(p4Mn~3acsCs4 zVhtBaY@=fYzc?hoF56CSl5hd>__cqRO43=@Fv758&F`4f`YwNO>O}?u3zdBinVz4I zaojC3?du)in)`-jhO6lDaDE|VS@T8$c9Ci#W|xR~gX>%kzZWSFWZ1r zXaPCxH_NYGGQwdJGje~HtD4`%AOc^RVPy8xUW3k5*=*%<`+CIXj4zbW1DjvXq(aUQ zDooW{jbA*Fm}kCws6`d3!41S+GF95C*EV&KxDJ`lqoV7sKkO*HPWHCdj}IdsiqrDg zK+JpA5ydawG^l^7uchXRiM|CfL@M-o<7-U{4bO+=vgsJ4PAee&aV)MAH`*B1mYpU- zD{af-;IB^xe-$}8V^*3^J(d_dTPMGR?zG` z;fsmY&|c{!Xv*nc_=$qqvk#S?%;@ej{zj|$3*`=?4V3)6CdMp_`?Fs)$z#NuBbJxe zo)ltIDRI6fjq}*7($ToQWlMVdZ44|yeBp<6#b~;<TxXW>+arOAGgy{UO%!*Y}<7 z^k)Pb?;li#pCy|UQyBHDZO~F%h$U!qu=V8*sec0xHm&ij+m>Y^&@UP$b$N)e~wRhiDGe(sBy&|0592HZNSA1a5mEJ+AM#*U}i+`lt;4|)#=86NejW(_Yd|H@QZIGofs2t zIq!aAHwJbR&MPEKmH$C*tbek}9LizG@{Z620XRek)KJ zPhnbnlvE$0Pe(q^`2OI9-Ro>k3Z;!HdDm$G_yiyMrmjWjebT&*v^hauCcknZNj{452t>6f zk*X}zxru{F5QUV8H;91;8R6pt7wyIzUD9d6M!bakjHRyH0yVS2~a$Qx;1 zx4=ugXB|w(I-+%o=loBHSc^j9_gy~>9J}cy%Ed-|yv;GsE=x%p`C+PzaOrZ#kLpvO$Xh6}IH189U_Cf745 z-6sm{MAx+kDvB==4TF7iDG>A>2SG{5O(O?#x%cEfiyiklyxTm;6W7^3bPVWAAnQ{O z;9l=op)`!@yhSRFvLJj>Orbtoe zt1@=oiPv*(tVqi#+$kybD3;n){-wo^R+W@|Tv0lVM9z<8n>JU7N>^?sp&MvLa?|v( zKD%=#yTe}PuWjBxMow{G5Hgq9{_qGbQejEMkP@UXS`R~m zY^H_D2G4;LicY~FH}UJPH@0TO0+40P+E&EUzoGV>Tk#MnDM3m&dctVCTdTETt)*T< z%d&Frge(@<8TlhM%U|O;?j6~tGUW=`=O3alk&!^&_=G9-EMyXL)VA|PN0URsvP5Hu zF$5?M%3~TDU?(eSyYPQxp0q<`Nh?ibYc^9gRzP!;WD3RaAYWEiR-|suG0vxzP{Tnj z!1_MULDC8Ei-`cGX~VgGX8d>llywT{SN9(uo3ZJj>R^`ZT1G2{$+7vH(s1PH3QFBR zp(I}@BPEGM>{)?pt|#9;{P^+yEL(^rul_N*zAa-x1uh`bcA{;b>Vd;nFXU@BXQ8gi zpVqzOj2v$uZYHwF^>3vnL7U@Jt4nE{IJjfak^QNSczwzUrjSFPm6V*o+yO_5L2IC{ z=u_=a)%Cf84^M7#p+{YrMEa@Odi@8AK;`)TVkmNR5Ku_d=*bPOtZ%D#dg@Owhh0#p z?)Ho_-$h{`sEDBS#P9w;Y-~Xr)?eN*s9!l3x}!w8UQAALET3huwfB}>DF6`^^JmE9 z_r{Z=e0+zc?dpEmTHu>!>)=bo)UO@#)_};{RNh;Yk>Sf^XmB9QE_7iJMndz+z-}mu zT59RndF4%0lH91!8?;Rcv3`e1k&>sI$V9nT${thC)$-qw9(HOsLFXlMmXLqL#>>Fw zEo9AYC=Sn3{4yo<2v4fbXNWG&@RD30p?D11&8VefNQ&<%@#9UP{l?S_-VY(4#sX+6 zp7cy_u+{s-&q|(|#sUS5&@Vi~Gdz z3;QWUmQUfe+})Yl1;FyhN)Sah9AbUzb2-@*W`ed#=D0E1^zDq*^mWP&c2WXOm-Vm~ z(J&#A2r4*!@IKL(EPEm9!2 z{&00W8tYCIpXN8SlMaC&1!sKxf~)>u#%jHVfz93e+_DH2!K>oai3SdJ7wIRg;w;rL z4m}tf3X!`v*b;|}IiFKVOoYmkq9%Q&a~i0g4%PC8F&zEYlJ$$-is#t?QsukBjGme- zaC{X$g;dnF#n}G}1heZ3QKesb!NfG1p7Ynzpt9d)E8qlGjN1B5C9PY?G-9}i668@p zm|}d!^GU)Jt}Bu%5&{QxBi^iN;n>L9VC%Q?qE&j(u})^@+4$i`(P*>P6=o74<)L`Anja$j*%NoV&7ON#hc$O-pPw~hfzrx9Z~xl)KZXPIz*w?%<=6p-%qC6 zyqcvJH&9u&3b^YvB+m%K&sScj)WRH7YSAm-4bU``{0DF>%C(oQ87TiJ7&FT*8#nPZ z2Gzx8E4P{~WNCvF`asNmVjr#`Z#mFx)t4>|&+_FiKrQM^Ak{-!pspo~K@>6WxA#@jTzzB;*W8d%qJs z_SW&Fxp4(H%bac|7F7siZ+b(vFwWg82Bf2KhAd+O2!F}>widWdQ*PbD>PAm(vXlQyh8GZL@A%6 z1huI|MmWz8(zMmf(ptDyNd$JR8z{O4JdM1?W;L-swL`^kE#S!ys zNIoazaqX`l6VJ!^WAofe;oKu20$6L zzByK!nU>#1r_o`UxA}kXCz?&d%z~%?k3Vex=jUFwaQ^?BjYu337d#<9yv+1eL%14s zA6XNlL?%3*(p>>vI-irF9In}4b+Y5pr2Jj6V0=TX;{<)Oa1VUy1+~hGgYZy1+7|M? ze(>okD>iXJvQjP6G%;@iKmSSXzMrvHJyI#xfb**O3HcPu-Rh@v8BFQBtesyFtdZxC z$la~sgPqt^;202>hzC0`=64)?z15fmrtzXyJ-58P|#LCTAeJTa zBOrWwh6U&6ZaZ|E9>ACp_!f@JXIEM&zRzltzRd9&4ByD}xyjzz{fI)^Z$ogfS zTrM50f^mP}p}-32G8{F_j3BtL&%jlcz2UUdNc_yE`b^o1^}Y zkc;2+S~JoM^T_Q7&n4F~Zd{-1Mqs$zNGo=fuYWNY^lC5)-aXDE7 z0n72Kp`ZN@uz@$aitxVJ?$28A)>xHUSL_;sN6KzXx25|XBLmoj!I6E z@7GGxBic}a6moJeT4On%T#fR-PKsQNVJ5R@f6lYtG| zdw=*($8UVJ%b<$IaPb_jG@+CP)kS%M#g$srWghUF&cjs;6d)GBY-T5_?l+2E4YM$; z`Z|+JSf;Z>fhYfrRNPHRUDklpMbb6XDDr_9m7?d|fYtmf#SuCuT``GoBd zI&G=t!N}~DSNWsWLZ7!v-yAc^H3%{EYJw+Kont&6pt`KRqui$qSNgIIu?B*c1}j*% zq&{P(;|?qlj2y(6sgkgga_SZ>oshvC6gRNnU-%yR)ZPOj@fsdP#kjR2fB1jn-dQbN z$#`1-s)tTkru~(8QkwQpD{J}z{SxS~#a;~OIN{_@?zYhyU^PtYIi7faJtSf+UM7U= z!1F4Yl!J6(0EA*G85=Kxs-&412B)4V}aG45s( zwgollrCsd0g{+x2ne(90B2^ohzmc^2io(QroL*#zBFpW+_40a6 zRH$J4s!UDEwml@fL-BAq67$4hkNtmIG%#dsfmKsu#>Mc`S8Mo2r%~3FHUkG0*Fhgv zp=9}m2n0B)CI{u798L@-RmCe+xjLR6=5v->DE_IcMR^L`kJ?M>B29#%(JujT(~|%r zy#cD|```N$2{BlkX&h{hDR>~CJ@cpgMW>+fd`12dMCTdN`(U|=ghU&K|VxKwopA&0mPV<#3m>h+%(>HkH}AoNxLMAGe6msZ}~Ch;vf4%Uig}^VTDwn zCz5wqIgET!GWi&E1yq4kgjk=g{*;mSWhl8QW3CmYZ_!zDcXiKip=h3%OzD|?(Hz9; z9+CESZy2=8=;pOw6qZBb5LHv-O%{+>PCT-rTc;u$9v7n&xV*oO$-KC7!i){NezpYU zfI-Ejg?x+T4}GpxiE#by`vXrlFq5rF8x|o>jBqzSMmu&&!U^i?wep{B!Z5-CQOIe9 zR;3`_-H;y;Dl+9`f0&2ChM+>aqVKFwkS~{q9pf@Og z?QOO?5Z*(C!OQ$E^Q~$Orp>6K<9oj@9f?zp^Grn$6mG>|WGs!?#R=M3l-{??!2 zx~B6?kl;8=2(#*2RSQwExdp*^)B;mwVmh=W!`f?u^0%9f*P2krw*HvjAT^a|o1eEVZcO;z~a zc$r{;G%tM|7QY4^5GqAw6^_G!q@Oyql(kB1po~h77D$B)o(7V<{*)WVAmg(Gl2>AU z0t~@OyP7SO3-vjJY=d~rL`Y!;ME?#Eyu^2z;SLN1K^ z*d>@0BS{uxQss5SZkmHO?x1^x>I-xV{CE`~R; z8?JY9c38`(q9wPFHLt2x-qXNG8p@{3VkD9_K47<|gtpw|UG8@I}z_urby;b8lYRU_wI)-tZ@jRWMMB(DcWwlh_K} zJ8^)us64YDbpr4_jWoH*4i7mgki>2$(_*5}}-UvEDFkD(RPp9N%;?ag`wy z@dnthRQ@*gj?f=I0e4YKQx2p@eXCFB+xDU7EavPPFh9~`9+8I|!yW4sZ)RCWHY@}I z1NcisDpLuJ81eWTAd*u&j;hh&ZhY(uFAxW!o5X6nxHuM)P}a*Mx+;8Vhv0(?FDFE{5ZeR zz?b0he#y00?Sm)YyR!2?KYdWSAYyEDs3`469gV5Bh#uI)k?U&@1&l^pqaPAZX?Un$ zmIcRY*47;K^9HpELYAAL(4CZXSDAYXGKS=7elCfGy^0_8$>PvrAPBx&O5Bo>3z03* zNh3{rwUqcRG<=jgT8Z-bn&;{fzpIv-%BrrKSDfM77tpR(350K0?tygu-e&7(t@q9w zUuW&OS;7ju2F$d}drsm3%#=wMK^`g0M)+NiU?;VSI&nJ_v;29%2}b(j$~hlZ z{a{8-Mh*ckEg^DvObbv&wJznv8)BZ-(ypxF%Bv;CT6P!8yTdIc_X7@avK9GejdXH) zboit0T@6RT^Kqtt2z_kMH@e`JHytk^-y#`805n@qA>TAatB}U)Y<42D( zI$*|Y7Y-f6GPGmrJ^aFWB7wfNFv^S`Fq5&*cODuOd#7`}XOB&&;BmE=N6is#NQaQ2 zoBumRr4FJY?m==@ka0E}Du6*}LDAgBEaY&tlkrr%ZC`9k$|DVR%8`WpOCr}fZ9SoZ z_mi{#^Urx`**mlh@H749~=CTjiUH`lfuUX$u{DRtZYO<7J8#V(P&7z!wM4Ullel@XZ?) zgQv|ZC$G-Vd-O2rSHD+tu%WC{>}V~~RAY?m#2}{i9YTFU1a|v)g>e?~0h?G7lIPTy zQpcS>{);pK;{;x(k8stf>>OCnfmk6DR14et$)P9FU79Hts^vZ8&uZzi#;wW@T3H*| z1cWn;si|ZqvkSHhNZ>+?ie4b`cTA2g=!AIjsxE2UhB%{q(MiW-v&lH>`lG;J9Xthn zQj=RxWDa)di}h~nj0!)D$>2kW%6{K-?;M$*X2-sY&e%ab%Ru*@i-?489jMN=Yi07> zC)QKa`}prOWn1;XCZ{p>{VC8no;D;9`&lb@wGMWWSN)vC_n`R@@#sD63m`_Qz-w$f zwN!W_BVbTZJE}~&iVmFN;ofOTbIl)y%vRRovXa1GA`Z)zT>ox44Q{8$Ab7;YwumB0 zktL~h+6b?}PfzijCbRgaP^Ya%Z)Os?bj;o`m)xZc;bRb9=PK^Y}M;oj&Y;Dps%Pml;}(bBjna0aV}>!UHo;kYsR6g?Bf4A z^p*e0hx>9r%O&9Gd3V9|!qMC2=KrxUA`~;IEhhhTj=f|tv_=N!?j@I(i{}})~JdDR^7`a{y8ymhIGHtF940GTSIbuLUJ4jwLcZNsF{9`3eP=rp?r zS*xS2{n}rZ+2GNN)fmG~WyoPjT7NNaN8WRSz$PxZqrGQQ-H2doLxgLdc%4mVe+WMo zhV6DMw2mF@M(E?LuD%@ia~}+hexG#J_bMU?F_2ZA9jxzvu0NWIi~^h*V=L!(Q25%= zY=20sbY%WV)}peK>a%kXTv}YIS_sjDB2?%kJUvJ@&IJA2{GWy3_NxjF1?{{J$gNcZ zL7CIQaKW@QALk}DaF#VzUSQmn(``Up=A-ncn2myo;^ZH^cXqy0Fv4|D*4Y}?t58Af z35bcIE2qM!=%mWIfbh|tf;paQA}=QOaWz_CNEnM&ks>7Ce?AS_wCLmO2-nd=@Z!?7 zWW7r9-TP^G6qG7v)^qV7@pIz z3x5pld>8DAUw_v{>`T#Q z@HoO~A|2@*mvf$Ql&h7jH7BJ)XEZNjU^3T73eTS4k!yZO+VEdFK}#)jb~rT>>C3n3 zX|-n$qXT~ctH@phlF7D!rMNprtXB{r&*D zoS>vkl^5xh()8gG+809H;+Ox~gQ~e|Ob=P^y*S#ZiKHTrRQI0P{FHsCl5)W9Lq9Ge zD8%Pn+=p3S@Kt2wmy};h6I1C=8)ko+8E9*sf?X&o5wu5xloo~IOvL`w0GvrCX&X&ZjHwAf+@kzkS|2R>HJPW7}R)ez+!T?!zuXM;P?WkL~Du zQTQTO8&dTTw*=)wG@Itu`S)`&02`K2H|F$sjSn!sge1GZFf`S0H|(1t_tTj^GGlc!K%CZk?2Xa7B z$>-Qqx%!_4G#MTwmG!snL=Qu6-Y3WgEKF>BT+bku*a6peyMVD|tPcBXeDiPE*vai3 z>pR}uvA*(8{7vC&*!u4iL#udNb|<~I?jag}!mLQTW?XNKIubf#&)y`T&-+U*NVjmd zrUX=<=9lNgN`ZGgp7l{mRG&Z~m>^RKKc*1mR2vl&5>it4k7Zu~-E{Z1NcVZL^vrH> z1vQ;PK5S4JBXuH4n%ZK#PT`}KDLCh!ogAypj)`pEO?fs%KF}bqn)@<3F)0K6eAj<$y7^i^42Qh8IFPJ%S9;+6BUP0K^7a zl;qFcWA6WWow@U#a;z+P-F-&$t`~Iec|Z-No1Ym;#%a;`wOppn+`YE>8t!z4;QPgx zL0Cfl%6RNw($H84pSV&l9zjz2Hu>DMYFd-}NU$X5!-f|P=}S{pkDwZgv7&(GCgZ`t1{v?;60mX)y6rK#VS$SWsAV->}w`&&ubUt zGepLQC$OPi`C|izEg#Qp%xOq@r%D<_P^b>MkG-eW*nCO%w>?s;-tM^l+VarfRzXZN z58;D2!CFdQqJmRhFgs}=`5M&_Y3zxI7-#@kYBJjhQ8dNg%7D^dvgY3+ItWCm7zWAF zGVa_ulGk>ft6565MbRr#6La4FV6n^-eAo2{`)#>jaLO??f8O4&uH^Y%EoEw5YO9%6 zxe4J=Mt!s1StlIsQ%j~7L`%!-^w~!Sl{7fS&-_W7B5|7FMVAuHDX8d**VD`H-y}fwe zkdKiZ{RY@rGfk?g1kLOXJ1r)kxM1NuF(n+4qRC?TzV@&I1B6e4zq))Rch0Fd7!@AT*{$94IIc}Y`EMZ7)ceTp$1`^5V$a_3Rlrp2hZWFgi}8!#mXsvREG45}+2 zCuw;ow=^CmnJVV>_!3gzbp*(LIv0NNpIl~^j7kK|2Z~Pt!sS9GX7#iDjeIrW7FpfX z7;i^^v`AhL^r9z$i6*Gt5e&4I<1946rWh)&T?WJx_ zNDmD%y-E3T@@=}U4MgI!7-05W&9azrc_V*EC3+8@2L@STo+ETR5mbwn1A}s0tm@RW z4qIgWKv#-T1K3ra?hYhT*0wP8Zmy;xO6^q%zZbN|-d^dhhT~qdlGvdWQ%r!L4aVu6 z26u*KH>Rlg_vL?DTl)=Jd^|WCc5cYP=6)bd@C6@PP6tq9gs{^uQPo*quP(4$6DT5f z>GM+xC6bY7Nb(U~UUkvnYon;e5lzg`ul+}VvD_-G4NQH+)^ycyqF5jSb*Vrd925#_ z-xc*vzi?GsMYqab)Io(#~t1)zO7nNVFY(N@*j`t8k}_teG*O?G89cB1$`?U@ zVdTFO3Y%abT}*;dw2pJNdBRax_hFOJ7}?|p&@=mS5KP;CnW>Ab z|4Td5Ydb=Pbm$OGC1GE+c=mt&DHhIMI{udy!l==jfEpllej@EG6nA#2AnqSPVLiYE zA_4!eYfX;Nq2*!bc~EX`yjldNLY?S9p#+a(UL%`eO1fBHPtK;)0tqTQKlh9OqOX<7 z|B{v!j-oVPi$1Pka{627?KbU%RPioNG3Lj&!t7^`9|*Qe>c2D-0)Qgi{`hL1ui;`+ zf#s%2k;)dL6IK3x*UKPoHes=>6`P#lQT&qbCqcSD8Vv!X#>W^V^M|noxr;~_jY77U z4+MP=EQO9XxLX|Cq&-NI4xt_|Wk3YrczY}tRV0TO-#eAqgz^cjq@tqpe7WDyKN zL&E4>c6Q#yDwoJdzFhCaOaYRy9+wqGhW+W!x3?NzHI?+kGnaHY0FInWB^F}=&WDe` z0!@V%Kn3Yp)6@`g{=2lL7h%qWqaPcTj=}^4c%*#wd$mxn%|L!Yy^rt=8^0BgRMb=Q zY9B5oZ9lW3x(3`MU5zR_QYMnfVUSOH?#7ux5Q^2P_V;}aPa-%?#FGYD-(^T(IICwp zF3&;acVT0I-Xf8Ayc;ggK_Q7Hfp}1{J{iov9&(^vhXQi$2govjYLkzN8-Q6d z4k3hdEVjV}3}L z#jP+6kqWHK>Wd{DD*ZoVz|P%C7u$McN71*^@rz9IN~<9YJK~y#p9J3w{9HR#0PxZj zd@`u~O?puE97nRlgu;tjxYIey64S>~4se>hm~fuK+Hc4^nn&q*X0ZrWLic?BU6dhf zHX}&!YKa~k&+nu*bS?o9YWE?DO^YuvVM@3!!1xj;JqQ_yQ#2wQ6|Z!uW&D@q4E?2n zU%WXQ2Ou86Ar%Qj|75vmO_fiHzP*)@5+VC-o!-KhckyLga#?v;Rf0Wc&{xB)i*7QV)NLmiV zRU?Ozqgc`uND58={qE1u)s6+0x8!b$ZVm)D`1dNVDPK*yAwE3uTtRWg=Bpy3Yt9kZ zJa;HQ8YV+Dl17ZH_~mQgu{`{i%Qv~Wpoz1B1L0_UZi7+fJ;^z^9kCc{t-|K9r51u+ z2|hsN=z2Z-ksv+XT_{;c&F^`25^DJ(DDTAJ!}J4fSL5VWA&mbN?O`}3t)|9l*?JAn z6pxxu>iRGRbh`QMO*Y8qn15xENQYB_Q~WNYqp+S zQu=dJ9c&TGZ%Bm{%s0I8Ohh40=0zd4S1m8L*8Z}JL5bvM8|7UL&u_YzsJhQbB_zMJ z_$l$^&(-zINB3Voh8jC3`od?6t+8%H|eK z%B(ASH9IQp=U;x5;5-GtbJNhdbWyrd_KTjG@TI^aa64hw%J5CXe<;;==P9oRsA zrS&Y7`dhzILw_HxS*x-#uEc*Th?L64&7B13<+cP}le1Ou&owPW=oONSBpIO*?fx@t zD}^bl0vp?2CjKg>|Ea2(6q>16!$YxVs2S!^msVvG)(N^2vb%6^{kx#G&?yBn7PlVRmVD1^rk@!WCq)O z?XeOr(&Qr0C*D+G^Oi|1NBPu-_U+^ctc~2X4`BkN_aPPOS3R>ll0zPDsZSMlK4$8W zG@oe|!IKo2kZ<6sq-8A%-nS>Aktq&0V9Ru>SpMKC#UH$&wz|EMq?z~@V8SGjHqtWY zdGW5{h@ty9lhaM2rhA_h;hPLbHxshW-{!5HppIK*66WNph*1kPE(Pxs#L79OU>o;D z*qNO(o4|-c==ci8wGTuV$31p4b5OBcBv%-)r7cA{>sqAa!B)3~MDd}8qCyPB+L<+! zyF1uP|G__nHh5}J%t``38)Z&XB-3( zY$>U}Lj(c)F(@;P&pqYv!iWH}KDaVGd`)xVKCa%T3cs8I}pvyCH|SMc@1 zb}YX}L7={kI;GAX%r3O_y4zMQf#t{U+ zhVt)H_F6E-@XyG7&_asIKWvGldqR#SmvKU?p2SEwQRM}bCoh=+kwAPO(t;Ev`3h-c zLruRF6dy!p(x;;bSRBwY59GjoD8kpi@l%}zINsG%f`9l6%}le6Dt7``rAGts6kdz7 zIT{4AeL++5(}^T+>Y}+@Hp4e7c3)*kyXwm%iH3nw6sas@{H;gD5(zjrfVKMpy)VC~ zjz|pi17puGq?mw#kxX>-4xHjNuw;EZVSqLFh6t_(rC=tGaIyVVBP_(VnTh(efGaXR znwu`YIKY~TQ(Kga*is@f*lJt&C_!7f9{n7Sqy4K*l_#A?Sv~`6^}bwTV)S^j-|o{b z+-_3(Z6oy21f0TBhJ+o|W}dQ+<3IJ(@gU`7o(9rv*$+#?RuNiPq1H;pQ}XV{Tqgxd z)F7HouK3Vnwp@6ijJ7qE@mrAlzz=-aEJIgJ$$(WLqb(T>HE)aKDc0}*L36X94SyN# z+82gXYEV=eXyfq49aj^m?WeOOPgHR={tYCFmeLVw(g4sryH!Rr*~%|k#uGi4HbeY7 zpHL=%iHrAvHC?;^t5NJ1pf}uqvDYTxJ7p4IKVZy<&#y3(6bipIEwwyyJ8nZ7RRa>L zbbY)*#i4E+KN)PjQ8|?enSSnKc?ywZP<={ZPR#KFqq}NuHaUlHxazHuwvm}TaPJEs z5dQsuz6Per#r7v1#uD+vR`h^K;$%E7!Fi@J@a4Wbg1TKi1?F4tr`C4N>Yi1^xTS06 z1D@Ru8&cJ5X%Re)$#7h7Iim+AScn}BEhZ7(l_35$c*3c&{GfKHcubl$ft->A%A+p| zrq=uZSTp0J=$-P>e&t?efr=0C7Oy}o^rMRW=gisT(N2a!J!E+(5T9;QI71w$q&f7F zG(GXnR0ofq1)d@223P4r*B7s2tIq>nM&L`>1AD#N>c$88nvkiw`N{8T%DT5o^T7Y7 z@G7+r{V zy&kq?F>gya&vehpmxu+e%ZYE}>E_mBpWh+g*5a{;tsce0c0J_U65|S?A=K{I+8W}6 zs6bm_>pq_MFKGg_sQ#oAAEhK+ESEo%m$oVXCHcF`%wx-Xs$w(ob+$s(J8*rcY5kbvjV}%VOy09SAZ3Tr*NDm{ zFMzSnki1(-_vvYaU7q{u{gc^3ylNzSPk?@SBb3R%d{7HQjGOsS zU(cdd{Euwn`4mu#5fqqz#DpPS$&|squKlLQqm0w8J<$-U1v=x|M4CZk{Jwu$PYQPy zsd9yEkp18_!=VgZ4*v4QlrMXC86D{i4S%lK=D1DKIR8!dbHvESKAN){V0V|JN>=_2F>@{&dmQg>J<8*q{N7h9(zw7_JuyntETXNT0H`OJ!fDfc2j$nF{guDh34pTBYTdlP%1u;eqB z8dPB_@}Ivf@@dl%->Uoj(_CTP|De%#5CyT9vZ2kSL-lKJ6<&)cjy)xN&l?0lH5wv* zHI$8X-YwFpUwhgc_IYrK)Y$?<4j;sX0|8|MY1~MiDPBb8&g=A_waat8$_c6L`v}VT z%ZUIE1c9BVv}tJ1-0xUFG)C7HAJ=UK06Z`kCN4)*P>v}zvD&HvblA2zPHf+7-I<*A z!X+%7^4Zw--PuvT3^{_o=5|yD(_&9e~q zLwSG9HH0B)hb;`3Pw}TdOkW2$EN>u#^EXf^|SBS60ndKnJ@o9eJ3dc=Q4?gz1 z%IBEZOW;&y#D4t1^7dI%oYwJjbN#`rrG5EFZm3Lb1VW@=R1qx8w@rm(y-%!n3%(hx z@EPFC->-a)aQb)e22Nt;spk$^%{Xjj*L2?XyA1crCn^AMHaOcWjlf0Wg-%5-~{449b0V+SepFso! zx{hE1t1f6_csJfn{>ioY_OGwuTI|w0ZouRK2M92_e>pfa(GDbUR335h?ZiBvwdl#i zJ`hh`XhRetPgyX}jW=brUo|KlZ88q+Q~IV}3?wc`u{+LbblTqO{&pWf4_2p)$nDxA zA$RF&gdgt&00c~4JYI_d($PRVQi6@%P3zjTd3n)~2mAG8bMKxE!8~B(RwsBOQ*%!H z&s)7NqQ9!Wb3@$n(15)D7e^)ls0Idyx5})S-w#&9 z*?==3+l3ljyjqNLYMJTV1s@K#TDH>F^^r+j;Z7*!qNBrLzf;Qg7}c_mEKiqb?wfrk zza>7ec(#=v-rpD&fnm_c zGZ+(^_vHN)=`?~#&>_xVSg;mulqdR)P2pjzn0Bf9ca&j&YQ_+S&e5)Bta)?^1VaTK znCN4FpApltwRFd-=(8lF)fcj9Ca2Htl@W;Clg6udjt%^^ttX--p1!U!C&0MjQa8?T zk7PFNOD+UMbXccvM`lVv)?DWKLOA}d-5bA9+N7TN(*a}ItUg87{X6KP7k%84qm{4I zAPBfcCWtqc8f^`cX%O>Q%4Hcysn3+_B)oDQGQtUQ_}^GKJJs=Pg>7nV6^wsKDRv*l zitSqZc}fG$?t8R9kqfJSbdLmSmloQNPz}~%;!F=%u&J}pQT&qT;hb8h@w0X7nvX5~ zz%`w}`{~)-72lO{sL;l4y-pj0RQfE~iklv_B9Vdg7m)EzKQ`*S?`V=&EPnr1yQDa< z|FD)~$N3Gbd{#N1id&z(1uq(rIjl}goLS+IxG`6wFE+c=rb_J$%o~qhqkTT(1!q;E z&EX~aJw|g(hEjRUC2xb4C&M~G!1UUX+aJ1nR;pzpPZ_Ro>iaw}$XV2pe0!_p@0~Bi zOi}RZw-D2^_v{jQ*>%T~N9rD<2c~&J`%NF+$3B;Rz2|oRL4L>0$_p{XH5=fia_o?U z!`=WH99DJK9=6H`2A#KWLb9ncrK7gaU2y#hW~!ddElJJ-Eg^-QeRAShLa@z`kK;2; zzQ|B*ct;=9dt%f)$#XOLAJ`|(P+R;<0uZ5l!Ud9E`s#ZBN_}f|=Z570z^xWykZeal z;Kz>f47P>ZEZcI@7nbh>gJz(D{XVA=)TP4>WHY^u$8Bdgpb9zv5h*4vvl7W(_?m1g z$}tZcH^G3meXJptM^0dUcZhc-rgUlby-H{TM|1QEIKv>edBEC#i>Y7Ur@Wa;gf!a9 zO{PTDNa5uMlRUc$4RQ@!-Ve!Y4Uv!-KCj@b&uyG>ZMKf1e1$e7vY~#;w;PJ_pKUkT zu4FKeKCgc2%YgYnRwi0b{EsZ zZ>^|stq*JV0VNu@5Oi_G_Q_sziE8kKnqHxww%}wmDkw9RkqIowFQM6L_C^p{WPqig zT6QrJqzE0icjj@F0wGj4&4y`Rxd6c*SP$RosU96pk}KUhk;E~HztwuxEI%+ta08Z9 zZX!GB@w8s+NK})q58bX8AvpV!V<2fg$C*MS0(jDV4ofUmkv6}CcxQU5!pJ-?(;HhT zv3Cr{Z^;ok9w^rL9FYS`hb57sD_9c`E)9cU4}~6ADR1#BlAH!>j>OtH)y&(WSYedu zB#2Ym3yus0`oWlu6`8EBJVq~p8peMTWQR=<79i(oqGC;bVj2|=N z(~{G61e0VK46dg)qi5YdHCyU38~8bL9GOHqHP69>X?{f;=!Lx-L4#1$NLmz4&yg!! z^%_6a-T;CLQ=3`oG0S)2x-Srdd7Sr-344Kxynsn8&T<_XC-Uq-gYyThUPWkW!bICb zfkeg`Wo>L!VseDf-Qp@8wT4ps%AfCD5XpU2b$%p|IL!++CBpdrY@s-VO7kq_)^4=D zPwe^4B4-)r2I>#!Lyay39@u@8uhbpL; zJadXupigbbHR((?D!+s&Fvk}r$8-=U1h7Lj4J3~Z?N#p`>0WALC$X+gdDzmwDUXcP zX{zyXObXEO2*6^)lPA$pxwa zB-{|g_g@Q$?4C|XKThQZNSsv)b^)aej|Zov3-z6BfuXDn<&XP2?a6`i3C?=i?r@FV z-v+MX6#;k=j@Z6e^PthbT};_Y19?%}@QK7sfl@BGc-nvJZ$Bj((_z<9YK0tZ_q_?7 zr|6lwc>WdJ92qEIS83b{$(+sRdK zvKzhmFKH_x!NgKEs6v@a0u>|RaFRXBR!Q{f@;7jxCSmo&6T|yxxyDqg8G_60e1Pd0 zqH55C1s44djH~pVw`a@ogcv?oEdhmQOv=3i&t3sb0b^_?m6Ejut8O23NxBMy8~MqG zi*SE@%@4ayO7oh8{)6@ypeMv9{PO)U$^+7}s1#iU*!N(`aBLlX6r9jJ3bxehVnDdu zo|m>yE~d)g%1uUmm_%>jtp4b`*%n_ZmCKr=+IB-$(dwKuZEXyVI4JM4QH%%n%G)e~P*^Mf=d9n!fv27G;+u(F~Vz`=z7x5(Z zxP<{U`<9)AN3Q{pFP`B1*uh$|jeiY;L}^7Whqxgz9AqufA)jlLaGSg>*fI+C$8JoGDrG#%tA4W> zZY+G08so{~)lH~9;Z90jcGEX;KzUnYrx`{#y&wwKS$aH)%f&rGc2gqwJ4VS`_?EL1 zZD@^w+BR1qZ%zcE zI(v=`I)2-P@Z&g2~eUx_*5z0}6I?gEWh*)bJ!y z{5Oj%rE}hZd=7RL=d1Za$w*3D*#iH?X(HYCL|LP8xnmMYvB^w;(fTFg@pYtCei=76 zRlkO;5Xs4VtDl*{xhG|iy0Y86sY9<7V>IS=6lt_ z3$DT+n}H$B+ye)JHy2#>y3V_=Vla>0(yd<);rKL(O zV%#^7s8~@^5dm3~OKTMsB~|`{$`Y(f#D$0~0R%3t5mAB$i4Y)SfDl3mA^UP~=cO|r z=A4;x=F6N@Pg{g=m-qLs&-*-PnFUb51XC{Kv!yM~r1uln7f%FkQd52|;YsPLQeK++ zWx5B=qv^*!cX1-f%5unE@G9ldkiH!9?(FNf1M1)9#O*gAG-<=XWutoAY(-q`CqhRF z^~0dXr1d1xANZ{#)ZtiYvkl|JN+s8Rt#WlP`HSt>80P*n{!{i2*tgQYx2L3-nJ&iD zgXlP*pm-%t%VhW#B|tDp@KaPrkl979tE^`A1)9aR*%xlXCYD8G*?8*bRIl(+;j+Tb z48U$6WEumcTj$K&izU=;Lo5F>F(e#MTXq;F^~*WZg6c=f!~OcLks)I# z?B4UKT5=88y8@nAGq~ z&7>hPf<||>f=89Ymdn;CGVt?15URX*0#-ooMbg@xgmeh59}9znV8yRnUOzo>F$|4N zM^kQK5Z6K(urKn<`wsXPwvCtz>a1h7@8}fiQ{tuK{M#KY>dys}%=t!;I1@AK#Ft6q z%|7wqox)LDVd`wuo(qU3^l`7#o2Ih0kq^vlvyDSBM|eX0Bi8` zZnkNwd2J@P0k!On+|N#s2Yn_-@; ze$&Kh4@xm5mOT4PPX-Y_$8%-(%^{gU!awL}02rQfh0d#vkA_RKRBPed;Qg zCoRQ=H$&p9&133*0o=Wg{fKQbLCP+<)I9FxCXw%&&Af;un}cSkgWXNr0O%$j(Z@v+ zsb0Ji?Y!863HzCfoTZYRv^75j=Jhh*<#Y4p&@0P!7+kl!-pMYKT;Ud}FZJA=> zIWe9x6@@_0V|}*6*Lijt;fd{kw6$qOk_O{|g05gQpohPrWyukBw=<+pUImlgVsnlZ z=IG-$uXSg6yWb%i}Q{qX14~}q-Wd=sa zEZMxaC)lifB2JvjfT&v#p?(dUfQrHHbBm+Oe7UE&Tb@ns?AWviz#8?GM%@GID1b3r z^A3X(-sb?(@@Mv565_;8IJ_#{6n$rc?gEnJi*+#N7KE>IFs9D?ds<)A8ysT!ULI`aWt{1!Z#;F_dfes5km~z# z)cpw>B5;NkEvkcOR0@zVbYlzYc&tQ)NW~(-=S^c`|1T(!m3v2L+Gw4ZK`$MM{+LSk zpS;6Nu)@UIzIL=;HEBIpX=WfTr=5*W$p=y=UzVAgZBB|i@DRY>HIKPX+$65!KEP8m zm#2sH&Ho!Sj(v*G$GVM>NZgj9UC}(D@i-2I^e;)Ayj-MU6jAh@Q93-sYOw-<75Pz0 z21rBzZYdKL3zk5}!!EMas+*c^B|X3LuJswQy1~FJa$X;aya`s+DO=O?=-3jpzYukfbIYqz=+3476+SAd3<&n1Pl+bY>KDvKh8KFT1!7=@RSI@ftrb zoWj0HI=$`H)XVnz%?>qP2UZ%nuC}@MWd~!L;|B|-p(v4<9M0xK{yvFzypZo>jZkH|5pt6~#MdPd8<=O@$?|_dK3b#Yxy*;eV~Z=hCE9pt2xqXC z0`d)pS|Q6AXXHbSR0a^(FKihPKjVy2UDyZw67Y4={?j zNNCc|(Me9))X{X9s+~mrA{OCPO_N`YDBd!$oU}N_YmV;WEw+$Hc*HK9j^~u5MFKL*te&x!_93Rq zTI4&iEk)`ZG3R-zPh(ftA^su-xZu$U$7^nCpdL*dN7>aI`iZDOV_oS7LWCYQPjOK7G%xB*j z|4G}^PbH=^c`BkdhF{@k#US{2@+Eb)$yF&(v4Rc$s~0(^}jMWGCk;vFzML z)JS$^!zJ!XUATjOfjk5WL%twC?H0cmyfg6kv_;P^`T^=NwxdLxZvddyC9~k29KOO$ zLGx=y$);x{BWVa*E$11(Y$BD85j#eii+*vAMYJ!3BfJ1s)K}8YCj1cqo39athk+?!=T(J`s3F8BBPbhf8&4K2XCpbJO*dD4_0=qZ2#gi?GUwop*8cND) z(ID0Dmg(=iC$DL2GTVJ-bmEU9@1q5~(OYEGct{^!T5gg|KMK3W7JIoatLDS1e@W-b z-&m&IZT#x9cgh@%cUo#*8b5JL0LZBIWEukL;B5~FXZ-|jM9$z5*y8l8iD zfwJj|^3|N0kcTN`Raw}0;`QTC$F%NaBE_ohFrHmkq&vQFK#qIT&o!C@i3RysSUicb z*Rthb(izAYkMOOQRHvOA^qu>)bM7v{12^yg=o=VG|2laq?mEaljSXkufBgqld>2#% zISS&qui3U9y3^Q~o8t07_^*->gSy-OqVED7ScAj<)>RzCbtUuI6jR8u5!j zt;;GawR6$%EU9_B2AzJ`!xUEP?7lz8yhy4btHGGu<0Vd5-y}xvp;TX3UbTIW%rZm< zgU-TF)zuZ|ZBs7?!8y;qpg2ZpIJMO4Us7c}{NV+%fL~XZnLHDRwShD#N6a>jddEaD~!#y`N4%XtP@rU8a$HSh>xx+_iIJJom%6z9aJ-q^_}IKHY-e5%Y_`GNnr1Lnn0Ksr#k8EM z!hbE8TskF3Mp)))*D5vATRatsA`cE8 zUhgn+_ae=;;aqa%GS~bm`T3Chv{g>B8e8KYQ*=aSTp02&1b;FYsyP%6yN31z(zyMU zN(~5?JFUjjy00iH?^Hqe*T&iAMXYj0O$d;t9?hkR!3+Ey6^bv9C)p=NcPC<{ikh|s z@P7H4&C!5|)0%fOa&@MjZ%K`nAG&_1Ye*zpD(O$udIDvEZb>J-STx5MGVhLY1rsCh z7Pi$iMiw2o=-$C!B^?|Nfz`OEax~Kz?LVizkok>Y`OBC@>}a~;?^ijyEjft*j}Q#r z9(2x^wn&wmY*((ngdDor)j4!GYhcT zAm;d-w~Tut!y?OW(mK(iQrPhTe`04aJ~c08f1a`=joa^4U>9tN93C1uzFm`?e)thZ ze48pwT)yX7v@TgrgHar>Q}{U=X30M}BNdeEuSiEiQx*_!)3#>>!QiOuGYzifMT8Y= z^BkCsJvHxazhItFVxI5`DaG=Cte<<6T94Vw+mAP~*s?tu@PzDOJJAxxi~aXUuhX5T zu_MBbZnnh<9=ae^SMBjhrw;3;h3pCn$4geNgge44RXLm|SBRX!p9x?V!e@O%zud&; z`bO*@)|&&mnXe{3WzF65te_tWAC7Ag4_^bT1DaTsdjBh>FM@`0-Z%)Z6d=?qa=0Bvy={Qr{@vALj zw2)~$uO)=7KA-`XB2YabzFFGcQ#!2eN=v-kh!#KqB<2iC%R$6a$8DeTDDvns?h$dn zr)6~p?-7Zy+XB6cKOZHyhE}D$yh*TYPk`O_iYYdt^K6GLZm}5%ic{MnFg+k>Dw=HRQr>s8(1&fbCc9C z3HE63%>qzubWdnV2R-Y#5M+A8iN99zXeq;oZ7$cexG&M}tSqg%**f5c^}a>5qeNz4 zW?#BKnSJkp2X z-`#!la3G6dA{-DdbaJyU*StCF0_#ZIP6kX8M?j?y6CF8m?NvsSUZc21x?S5j6yDYc z8;my(!{35E)Ap|9bHlE`*kp6?YD7SvF9<&wQdp*VmP(`Dp)L3(ec_v}jcGRT^U27F zIm`=b>^O6|%xc|{lg-8hw9Y+OCc*1eLhDLHF#^$G<1Y!4w%JMw>#*f9vW0H?hLmxf zIGXsVm;OL609^=*+|xo=L7)GJUvI3>B-f@p$4d-MKKIt^!&VMa@vvEQ9l*p&c>G&@ z4yC&6XtRu?E*`c}9W)9td;TUX=lA`r+U$4oUUXTf`n6pZ$RwUHcKKNnF?k(pGaqGq zQ3JF8LD6ic8K`v;pj((5_#85)T5=D=OA1Ncm4j`tQJ9Di|CKm~sKhBZpr=_cO>C4j zUNQ#eBXSXi=ztJRx^e|;O$^(qM8_jrSuZEW^`$zMN6UKEGX&Aida0&CFTY0Ge)aeT zXY^B2w2=sd@_YkAj!ZdFKc%DUR~-tCNDGeJObHN7xnbP%ZPyyN13BalYZdM*_QwcvuhzY7SrV4sOBWbY~=+xFMZyUwILdtK15>!wO zN3B$m+v~r8DJ3X&`M=|D(&jjolrbDUE#vo%d-Jr7Ksy8Zh@=Td*1h_B*6u3=`#V`H zIW%8713NEofYOKODC+X;a$!jcM(xQ7E~`ilvq#5Djc(9l!%->GNb<^2{;DQ-8IARQ z2|n?@DxPon--$;_E=CwA5Yi@v(t-rkE9!xi>1grkz;CtLoGU^VB!d9db+cxA(TK#v zDySfvA$8s;E_ASd5m-xhrVU}j0I60ErheO(F&Dd1@XhBPakC_MHuW^(-myG`ed=NB zUvre*2*j@2OwPs{I(;~p6fp4^y3&bnREV9jp&16Oud@??>qKopnPF#aPg;@RGUvSu zCD;~;NHv3WximhTf9(g}HF#iObgw;42UVZ<4Uu*lL2Ggg}^nhV0sF( zv~his1V=}kzN~XA0Rv?R`G7PnO3qTt+Ec%e{YC9thxT5g(ZYDD`O;!HtBdz?2=qsq zn~5o8@m)Gjxmj&zgueDIVQD)E&~=3dL3WkJOvi& z@Fw&ovxi=NAl0$C`q&`$&V z&=y$jBz8l=l(oCZ3izj4Ctj!;3dYc`STL&Eh%ZN$EVtQCi3ska@VMp8PKl&sRXuM~ z0k}l+keUFaxze6GyRq$q1Xr@7*skJ2>=wgzG_yESUtpD!4M=BWI1fl> z0q0Eooa%_xBO`VjP~T{!F+7g6-dRKa(F15B>J>oev#V39&<-57_L`zm$D84*;mzh( ze))!!pv$Md!rYe>apo1M zta+Ge@|65MOqmaPzCl4+UryP;7y!S`GVbq5KIvsyaVdBBA?g0MAH8t#{$8{(tfwR9 z4;C7B!>eHY$Y1|kJ73>0I@{o!I2B{CAIZ(N6il3tp8ENTG3-Q&5(v_z_$@=kB2xSa zUXx#oDRW~LT#nS=4*3oQpbq~pXjNA{O)h{Qdu!^{`^U^g1WlY|FRDZB1c0QUfAt8r zfu}_2MjbiUq?g0eqV>~7Ff_=1PY%1yX^#=fSZ1I<@m_s8Z7%W&Z9K*@CRmpH`Iz>F z_mMKzMs?(~RS4Tw#6G6FNGj=5#AilabHB#gh-D+Jme_*vdiMqb<%1^M;$rARakZ58(hE(o_O7bAkf&J_lRm%@K4ZdnhT$!P{P4<^(= zdpv!8EkvcV1YkbYza9+7kPQbFq$r@aOS-_wXGxo30mE&~6%R}4WnZx|(#(P1U5vO( z>tTQFO^!?Edkfm&#~0$csRh%1EPmEEC&pc)Y+_t*@=^U=Mq>G>%pc6+j&K$+KR+J} zo$5gfE+?Z|H?s9)sUZ*v>j+P+C;$5qNOegC)~SnuCwB^3gWC1Nx{7t`H>54&JrSuE z;g7s0E%^WD$o+pErv5*_*mrDn+u_=O+YYvY;$fnU^v{OaP}3Bw@PmclKbbV|5S4AT zK+elM)@&mbQ6gj+oye5D>gF*;ENV!bhHI$ zCD%e*X%BTZ_?|wnEbx!0j`nUW>DM0VyLUhZaEu7#+aq|tq7|1+q>8!}}g);-Xo`c!q+m$l3bl`%oWqt^Qi*p8`rjQw5; zA9ID!f&i_8ALF8xYi>><2z$9FKJB0*HXQ_TSRd{5Jz2wu{}HH^k&zeBB&BqOf6lak zy(~1Kr&-nJogS(1X-_D(<0YxPtY_`$%7+NY*88H3!Z4^>`o|r%rmgrc=iOzXEg1R^ z29W!dhW}jBf~;c;J#L`MEN^$?zInQ5M0m@;q|>PmAH5kvNSBc%w4ql_6WdVKqe0KyVE9OA1w<%E~A518)<>?n1d(+=vgsi6V zRSnU(b6Cnc1{vV?-+org+yzWavXNUnZrqoNEF?=cgm;vnMaY1y3GyiBXjhht&D;;+PznY5I&4&=GJaW`vkQr=EB z&BGNlFhVzhj9e5%uX13hkJeJejafvBS<*YoL&*d+0MPBO?YBPpRG&o9A^gP41ma8k zQ>UGb=Y3}EHo-ICW%xvR7EG{rFID5s?|FV$nm{#p8x}x6ZGz|F?oL+M({Gz}L#U&@ zzrDpQAodWjunw8QC{>nC+qm7RT*v;rZ?G`;3~hyH@Z5WBei6ZS2kt7ABA9< z9GlfJcBPG|Gcek-#CEGw4xLvlmDKj*2lD6iJFKOl_w{aDco;%T^#H)#02et<2lJ8OA1W;JNL&Jxs;vsy}<1y{Y8(90* z&a_o)dyE~UbuV+oN5Tm^Y;$U6;EkS3YnK!X^?O*pcP0+hXQN-`N=!TKWQT;`2g(f|M((qO!i^ zi6xQpKdS>@KPV2(2GsQ{-J`|&H8iYp>S%ZCQK027hA5pJ1u{3YXUUfB4+?s7fZ3R> z|M<#Js7nLGlnRMl%tqt2%Bm{z;34t+tFPkX=06UQ2BhqR$O)P$6&2aL2)Z9cPAMQ#|o8-FJ{!VGX{EI zUM-0hAk%Mfbjy%M=pIBZetT1Z2bv%&&_KEM$Y{2suk<2sJZyvL-(|YY+ zSCp4$4Y(mKpF5$!rkI7P^&`+&DD1G*&nRBHIfr}%OMm;Amj|1$+8`biB0few( zK}q$^Udo%RjZ0hL<{PabBcdGyrw^S)k0RNY^z5wp7h9kIz~HS~PQVHhmy02xm!{Uw z;cl*3865RJ%DYoX&Fnewb>fA8Ngo-X#LjKD04X_8=Kdt|xN0r%pfF4mX_RDUZ_^5S zJ~hC9&PYfheF4ngTmvy4XvYpeTG=k_HtFuXW*_EX$;q+r5!`c~(NZtd$BK|cm7 z4#}?IzP(A;c3;6qJ;_%_+K>b<1{vV2e!DklE0I?!WD8AMq@+?y9(_OL;W)hnO20X` zjH7_2M$&1$;~&kL{@)yo{{?v}119J^q=zH_bqAdp&Q~Jy^JzQ8(6EB1+gMOq05^MOP!?veH?cpJUdz^5_ylnYPr zeq^N`B5=;XtaVsLy7+W6fugP!m60H6H;p-Npc;EwFGfkf_xOnjDmp@;MM+=B_}h(e zF=dJvx`WHSqYWl~!8ne1I@(C%tC|ulwWWW;1^gm5H`t1w`Jt%txD0sIn|^DynRF4W zQOd6@N4A`n2rH6fL8kJ09u!)pwipq{A%i1z0`MdP$^*qH#40Z$Ut{&{gY5M#gN(XB z11hG0n(?Xi^FJ7W$Kqzx#j@EFfvcm|X1Ks+k=ZASiC4SKA!q?j%@aJl(TD1kTRmiP zw1^Xs&ua8)m_%9?vgXbO(6ObD7NDSsIpTfKW_L)U7ZfW0Y0;v~L>2dJDlkh~k0}{H z=}o7010BvXVE}U_OIyd%jM$Nj>2Cl-VRr+=5Bc6RsbIY(-?rFmqW{DZ^dTg*_l3{OJZrz9wgh(6A&KM6;3KhjEYAAHeo9@3Z6ds zOI*SDwhH9Nby$1!WpYrq7x^s73zg>cJAt{%FYunlPDNUM1BvMyUzyH^NGue%;@wvd zliC`MDU3N1c<7GdrXJ0{F~&8>t`b8JaYHF0Orx9G6xwp^d-qN|t<>e73-_y+CUk%5 z_Z=Ugzwn)bpi%G1VV8S**GE*~exk0Hua-E?eMDNlwFk^1AKO5%9Wy&jpxHC!@D*Jm zV~1^2SPz*aP!~+NeLQCpS_S87B`QE+f9y3S%?ps&DYAu4zG4QtnFt&c?LX-{-r$0_ zqQYq+ja0y{gU!(cL)0$xKCGQ{X)m>kn1w|8$M4*uO||1W8{Qek2>j=5)Zhf8m}(v$g~ z`CeVp!*DQ`f<5>#K=|QpPE-dj&XFdPrADb3A4P?!GaGZ7M*dOPD2;lhOf;;A<1lOK zZk@d&YXICTO=v{(y?Qo{6%|o_(#5Vob<85U2&QZ@{~6(xIq?7~i<^xbiEuWX{HnPx zb=6Ys&I+mrimw>iKSvG4vHS|_O|t!`RPRXg)G)tN-uLu6&_|&_TF_4fw$}+1L{dbi zzw_POmUX}2y{}lN+lVC*ats~|4r5jprj;<2)9I5*NoTV!7e`Hh@vgPkylpczS;yBp zz~@VpepbrDSb`_vuCh|*PgH3tCPYLZNsOCmK~H2k{WeFj&qE0FJ6#aXpfZokOIgJq zR3?#3+0W7Pv{%$~LUqEK7x{~@tPoCTKq4f-Cq`1zVVY%j*PTtXyr=`-qD5BP_!o#_ zk^Ut%_DC>(>+V{-=>D!6{ejO9%ncw4gd( zdU)I?)+_2~`B&)+@*KIdr(yH3;PoE8t|={olkj5K$5^MGukA(r`@0T%phs1cA7xuA zW#Z2!7OXfuBi;-ob^Ckz#pryXs~w$CWbx}p(-_XJDRUyxSye^BUs;BYtEtnBg8tJL zJG7F^s>{o&9@h{re8UO<>e)K(iNaLMDOH4J>eg=Rg;n$*VyYdpYj*bY zJ)zZ{E4K|J6Ys4~Pd>kz`lJ)a+SWwlpsV>8wAsZO=mqRY`}(JR&a-y5?pzgHMpLbNS`7u#&LO^#*0>J>@pTk zCMPgdOO?J>oLxt=vbeL7bUBH)BAd~J1NNOX{A#OQu>&6D%csP`-2hUl2FBNfVCkSh zwR-grWd==hQEcU%{JH$W21P`RE4KuKGp&?H=F+(eF*7Buz_ydoRJTxY{CKg8;6!=Q zZU)~jZ_?~|Aaq)8-i|-&1uM=MXQ)#1MMqK5nIC@*4>(U zF8c@2j#bdwAVvLiz%(#4AoK$8UObnJytMkXc33Ok9`xRBUDm+v6Baq>WI=9n7;bv+ zR$>8xWt;aNw)P9D_b{E{#vG5j-8efZ4#~4)#WI>)%N^EmcRXc)#n_KNPoCLD4#n8q z`w4d2vC{QRG!Lp^uhAQ@4(MTep-D8GcF26Pjz=|Qu@oQ+J?>EEaO=qPxjv14i??C; zpkqLIj|k7VGn$_Ab#Y9x#$F?XM#t)?b0*#W;kJQUPd@LZ-#0alG&wA*s@55?aI&gDmsY7)J=&_@k+mFud}Qa&u0Ydve6+vKgN){3#89(sA^QBX zs;q0=Fi*$0KzHPtLiO2y2Zs}dUnj#LkXU#o3zDb5kHE}}d;(f1XVHUpm%TeY2wJLd z$cztbb$p}M0PAqc2kEH&<>a%}(_U|+>tMlNqx%C^30v_yz9F{@i*8#MtFUV`A6@RD zP|wtCrbpiw@gw&W*K|+w#vBntL;v0dzV0WJy}#4%Jj?WdNxG89!ZJ|~dWJQv>?x!j zg>CP<_a-GLYJnMBIf(VUDk?(5G2J?*9C)X9!L9BiK2)?HT~B_F&25*j2%=9?qtCtW z6U0}$$9vI#hAE;~ddrI#R#=(U**oCwet@A>?Rxj2`36KH;yg~&XJ=>EISLB|(6U); z-rjr5yz_Icl4}Q#^xX!~bxOM8??lHe(|I~pX~kn^sNp-+VuiOh&9c5Pt^Qk$DXmRf zjS;O+%gczSx|U<;;P*fA&5%+zA3=r#(e~FPP12Xu-ytLx>|s3O zwZ#P$GhQ$s>v8X9+ugU|j;zt6%8H}h+2kpAA2-JqrQ9f&rEI@@nSvttY_t1sPtA$u zc*_Q~&*_hcQxcACvTbjtTBagjTUuv*7;v6B?4148FDYd1QrqX%*_Yx%E*~(7i7?CN zShUCKR@*c>YjDsU<4@k1U`I^u6K1~JBunDGqNaJT+OwCF_w~VhpWmuK#Z8{lWfCcN z+}z7)=RlsrNkU)p2!En;Es6f!Fozh=G5ftQO2~Za>}$wdR&@KYa8L1>i0;}oFM>YS zYzEq^{q5jx0oYSsLY86uNPAK|l0Cyp-sJ@E_YmBoUy9Z6Yp`ANF=0(&+*0CNVv(I; z!-+b6_j@Gt(-P$C&Vu$M2VUY8yg4$wgnyJ|-d&D<=6~Tn`?JHx z!fmQ~?AdoaX15_lbCu()u1@M;0sdVmc6m5G#e9W00{J`U%)jD{XY zd99g|2S)wYey0tD%Og^XNMhGMcf0CXyZAgzfeqT=ExU=f)q?=tA!BA+(~j&TarXf8 zeP)mjET2Yfk0Ecer9Hddd0_9B7jMo@=*C~YB-RQ|v|AEz)P9so>r~&~6gqxCpVl7y z@JT!0PKiYm%;-2>Zh8=e=b!3a#3Q`7AX&`5P`)@PqO!849B;wG(*{w<2?OEkIZrzG zgqs7HmIoSRbQb9gR$gdct<3Qd^{5%VNnLc|6sng_m?p^XmfdCw2i$C?$T$7E z|7P$Na(SXNb=E&!Xc@}uqP$)InBPK>QVJZnH%sdbJ?h^Qu8VKiyR$1?Bd-~-1?63_K>JTCqG{@n0W08=x%w{C+XC~{s}Prj8>4MA<)U1ML&2DIeaZ8D)KY$?Ne%NT ze$T0b>3fgiJ<;z$)A|fF)NmIe#$ikSXWHe~#qYYCMU$I0*|=uf&u1ONg$X~&1R|r| ziIu=-z8f;-howQbc~ExqVC4N^Snfab+6ZSJ{(-5-!amDJOJOcdTSGRJ^-+E60nM|I zsB+>J=p3ikPucw=rg?*EYndmEmdT_*`(sUH851?j1(i|}+0AO9CR$-u5?m@2GJ`d< zNNe6NY#D)7V^geBOgSUZ_u506i#E(3)ngQE-=?k(K_RP8CK4UPooqRn<3&=I+XuL? zR@RyynwI;~^|3_NvoCJeCytQcnF9D~y`=N76%U+&DU#Jer>n&R*tYYZoDTF_9h=5n z-H;y>x^7{*9;;IHpfG~^d*Ap!;RZ90ZAlEop@p0!QEN2LxBbSFT-Jd77luU{)CR`< zc+I8>zITk2_2?(C%#RYawq7RkjaWrmRQE5bD{(VJ{*dQtVr~`!FXqm@&>)p%`LcYR z>sTxJJ#|p8{3X_VT{2=-X~n2B>WuhqB7GbacNGC9KDJikXD1jKoj6ge`o2qlo35v{ zX%G(g78Inv3Yx@yhhR2Fr2j54zNNP&g{%NtMeUP``O74z1OA1XXQnQRv;}tliHfNZaYQ7WxrSeZF;7T*&DA}u{ev{nnn^e)u>-86sO_n6##1y;FJ zSes?fnjrX11<3L`WPBA|1Mp>m?!@nL+tjuu4s>5wYMv|W*xvp6{<`LIfPVzYG|&~_k*cJQX0>tOH>47mDD+2Hc>9|i^HG^lRA|et1BT>9 zPuMp~-~XRVOYCa1`c1)Dqto=@w0D*S;upQbxXFgbc(D)+AZXbkB@XLwKp->r>RNHB z9;;?fRkQl1*qyMI_)lAhDF`sx4dHN5N5yT)?ki4y2e~YM0!t?a*Q1@VW00WdV?T*I zV7dG9qL>j>oM|!WwMxZE>Y5G5s7n}{FL68*^BI<1!uRo?7Jw!& zKF{)GB#qW2WwSSV@{W>dD|-e|1=p`G4b*Y+0N^f2w&X|2SiPVd1#)wz;E=4awAsO` z0SpuX&F4QAULXy|o|nLlDKc2+ek_=EZ7=lTxcbcubJK_?`1CM|e1O`Fjvu?@@5`76 zppY$pNIOhl#*M8nA_p9xDE!=&IreH!1#~15WnRu5Z&9lGbNW4_IIFDYx_4wC z+8TNyLE|)oKyYRw&bv_)0UPfoxHGarF9*)t-Qp(op53;vm5zSd4NiR8AN~_qtas94 zA2f|75Z96xK^WcLgxG0NhIdTAU7h#xF)VryRKaFCPp#3}%KWDqlZA3cy(Lkuan9F} zdaq^f^TXoIf1{L2uz6Se4GZ7=1BddQrzxV&&5A9hu0&~;KNKbtBc*xF z$GwRk6LVH9LDlUjG9qDF;)h>vvwqt6)L_C9XsUdt%y%PAAN++m2j&(+NA)w4bJukf z7}M>&X3M)*OR#}tqOL|GX^Czm1v$QDnqTVkqk3T)1ps~0`Nsj1k}duJC;$uOi7$tl z< zIyc&-fhYxSmfDyMx_68TUrSnY)hS2MTSCL|QQ9`_9xp09*M;Tu2 z`q6(NXJHMY_31q16NA{%=U4SZ*8rA;a zPCO}_@gW4WRD#$%yfNRUjJK3ex=?4zqx|lKf{Cs2k=+eFMy#J)H^OL1IZycngGfvx z;bGYP=5d0bS^eb0>(N%DAgob$Z<(*b?@??wxNAqfN#am2dF|mtr5JOt>sZ$@`xhRj zZL`S{e+m_}qvnN(q)~P$c3#hMQi~aBKXh(y{;`s^#0@F=vGG6oo=1<0VC3Qet&=Mf zdB>)4kM4ItUU~o5s*4lfxG(%uu9yl#UdUl+6)u)envf8haRp;wNq`jP)ewOed`~D;e0mYq?^HzittIVw zoY|BW8JtzJcYUO9>7D?1OjGGk%O8o!CzOS-7Y!U>NgeNx&p%CUi~hwG#Ow&l3LQx6 z?18B^oxAZdzr;)9c$^d-xIghpmudk-BFtOez%4VceGN~SjHvWEgQ)gNH1zme<_AUI zVK$hTHr}s0 z84H}FGCh7pTIkjCLF}l6@I{dr*yatrl=IM~vI;9tSJ3Lz4^z^aV%3pmm}43EKPSZ( zOfr5)EqfoeD3MG1J)c~W2py}DWl&}iDOFlZm8ZzxLA`f_IwYk}`4-pb_3Zr#9O*y! z{f{l^%NIDMaoG8GQHND#w6hUQT%kUJHTNw80fN*k>?7O{9E|jQid{paHmuo-d zX1#Emk|)RKin&tDyr~{Lz$y)<(+Z-=JNJxb-n30)-ezp>och1ux_D=Vx*yI3Ne38|0tSOyRJDg|cs~k;142pUUEFgogOHq&U(-#dW!Y_!T0K#Q&Rj zOo3J+BYx5WxxIESY#%XvB^DM3yPvwK;?+ox)CgUKTX6)Vs=Z*!5qo%sAqpv(sGwKb zFc}Wk>qPjQySUI&;1o}U7$KVm)Yj9s#{;s*y-Sjx06c1)0pt_6QWsv^ z3b!Dn8R3WJL<(riO!_Q#WQrltm!r9kz5cUSmR=V-=SHZ^opd`g6Q+suqTXENUb;Cs z{EX-{y&B3SNU(R3SD^VFAj)0G(1PlL4&meGg0Y>oALavB1eG&KsqG;b@R~^Jr9E(` z?i@9tG!TINxX$H+LQPmyrq(pVsPsk4fY0U98O_DBaHZ8l|RO zCG8ux-sM=73h6eW5aMODo}WtfqkGm_WVJ%A$pg6qYxgC=?YH@d%0HwgT=QLMpVlyf|_J9Jjde<)+;07 zX<5+@TI?Q!#*}xGhIAmSwIXB?Lnj!$3hn(u*cR~%5$nU&yF-$( z?B3*XlL_LfZM6T)n^fZw2R=eoLxBC!%{utaSznB(2$b?9T34HsHaE!n6+^(h(V>=} z;Zvmzma2lWO#MB8y9+7D#02LSpZ4mo6$|)L;Ew#j_kI1zk~{^Zwrx|Ormxvx#Ap#`g;S&g4a|+n!yfQ|OZY}-F~>35;y;buK~;Zl9&<^Y@-ImY<)oB50<7D; zl)9+Q+z2Lm-L9T~Dq)7zLVV~9VD)J_5wM^Moc`!(w%J@q1@4bxBxPj-nLiv=1h~D# z}P% zmwu|zIf<8qUEtshdSx!g4=f>YYHo#o3uxcCje*xAdIv|g4|J9O8>_Q61{$E1AqyeG zJhXTNWV0hmI5ugOP@&KHd|^)85?U<_k1{%WpQIZgqs{4Q`+n_`lkl@R&jfo<5PwZi zhvfdV?r?J&%(P7N4LUFZ5PnIg(9q=k|5^R`PRG|BaT$T^I;$%RDBOuaHuVuHww+N` z6lz@2(ItJGy?i%d#hhW}!XolZh&;KFeFApkva*YVBaZjcvG-X5K45Iew#=T2^2KYa z;2kJ$$(r13+G5cQ6LfxSJU_axad)vt?{QggV4$ZZnsqKVW|v`~RF5diyxn)tO53~K zc*?#%9qJnX`$aPSPS#PF52iwb!Yt9wu$swCkDVK}(7hsP26yvMJzW9eabs(o*Os6C zl=lI8knkJDBgva={|PZXxTA(ZFRT5&vCNE z_T^sNfSOY1)~4-#Jn|6K>iO|wYY6&>YV*=hg?6HcRZg~+-+(05_5))k&ZR6c_-PU} z*vv=|U6&)SS^nNn*apmFv(dva1& z?v8KIGSmBRI_(_v_?CTs)q@ax*^rO`CLmZthG4cFOe<3E883cLA$a{CM@;xgtfNIOGG*yv?fB5I}rW`o#l= zHIY#>!V)G$Ql<;On4R)+XFaAFUXNcLWLMsKG&>O#7EZJ1tmZ7azw?y`j1F=sIh`@r zvZxX>gb%NK@iX>m^;fHIyCpnXwiOwT<(Gd>%&u7S(=;`JF&?1bV)9N`mk+eDc ztL-3F5_K_KZFun|?Ky4EkyElH_$9wQL zm%vjhIGtA*Zl-bOeM^c(pJZF?w{B4(7c90>!_}?sGZLbL>V#$D62pTq?l5ufHiQ-Y zfr8d9j(XA(Rn8eyDwv9;pbLRN8u-zJv^}Z~AtvnhIP2?I9Aa_%v@|wqR-~{!uJ4ZT z_OBN#Kiwbj-Y#sf`&7`rmnOCw3{gUg3p3+C4Me@fvtW$Mb`W|hV>(J(wM@HzNzYe2 z{Ct%4S=g@2Sw-=x$`^+Uq~%1*(`w-^M4P;(}6_xc{P=J|gAdC&R% z`Fnd#k4G@cbh_odBX3vi>qy^lR!YQPQmgLs4R-K`n%rIO8+8KHGdVivx zeDY4G-ukFqVmr!f!5$f1Lv$};+D(ojoOKi$p^wEiKw0m>^>iOKs!LXvw2%pM|2XBl_w}Z0H+Yh5rvd6!j5HY$< zT{bl}&*#U|basZ_g_;Xt_H6yHNGTl8=eq*}qvJnl1~;ay1wchfwDfD&sDV`xW)t(* z_h9sg8?%eXhX{#ZuwtiX5Q=i$s3AVT``nadJDoxQEqxv~r8F!uefjCwf#O(pT-4t! zAl!|xuoq9v)ckI(84US|c z+J?i8ROp(q1OG+8vRs)Po7XagQ)qjY)VO)?EnhzkjACkEKUAeg+|SNcxEN+_Cd=dY zz;O1X&Yb{{$F9L1)_QFQH~xFb2InTHv)~?{?+uuYeZXfVV=vqmW>;5V_$j9i{dv!s zajfF)aQ~#xYbEc45^(1@YIR=p@M`8G$>{Ic`v-1r<+-ch^k^Byo@Y)RzN?m4)_*Ce z)f>odp|I7DA3ud;29D(FVKfg>4BQEqEm_pK!?zl`XQ7iq#uMA9X>ahNKIxu+VuVyj z=_x8${WQF|l)^ynn!JV5c$Xb(5^&4nOH^)msAOvLrWu@n6pQXpi286e^as7c?z%UP z_0V!!MotSW`tK(dWR3wGff6tTdOif`BadhsN-p`FGWZ_7(Uh=0q3*yNqvvDxUsy>e z>*J}=K`Qqe`IP$L1_KG{_HK>kt0ZwbzfZxGJ!THLMz1Y>^ZxX~C9(J4OO@)QCs3t< zdWz*@ycGNQ^Qgln zmX#Xy(j=z#u8MJy-GnA{TTb4^x>%Q1EFmf-`c`!+1FD;WY|)Gdl}c*flh{?_$h6x| z9_(1`gfzUpYkSHz?P`~HPc$wzu!6oD0+#Cud#F=sQT&f_^4mWk3S;nTANz)@a@!C0 zMMDR!x>zjW?A2{zDgYmtiwE}unA^VQ+g$s)&IanzynEBK){HODAl>ZbqQM_4U83Z= z+JXt5Va;EJoDN*loxMnvF7U5?@-y}b#)KJFtqDAf)}WA{3v>E>e#M22UsoidhxPkU zHR^WT(F=g(W|UXCCO;EHE%ko)tV8$u^h?uQ!Ma4O6#GnWhf;;G?I9{HH+np%YuxI{ zt7xvsSx2b$pV?6%XB=D=4kez#xJE{G6E*uHSmp6GFTR}5TLIZ#Awc)wz}}0No+79) z=U>Z`;%5ug80Os6z<|I%W|`9meg%+`Ie0jw1Sek zXw;f1MF+MY&}(0~wTi7T{liAk_a=RtMQ&xO;T0&!7WWzzj!pY!-yZ2VD_wRmc6sQO z2vk`q?v)2Xwp5%qtZ+A!K|O&7%|i{<5#H?T#cRkgfO(4BMJ*X_KyUZ`l?Zx0 z{D7rzCob6NNA_JBZn@~a>|LNgYO_aIBJP;PS861VV`NB^X+L;tflKU^C@OqLh(&?- z%6)5)iK2%&f=Cc$cjWZ7%`bqB_ouN5%=01X?^P``~zX_2T=2z zM}lYktiNY#cw ziDUVPcoj8$B$QFd$jMln#`Yd{iyM?g0^ee6ZgI+midN9jE4317=iL58UW=>=1vJ4> z+_Xswk&J0WgEH^`yiIEvnMK6@KV|QtG>qw&HybN^?wmW2 z(gsBCIpgdG<}fgov&I=IdYPGCjwZ;>9$KYAEr_&)(Gq*sQ*`AgvvDP2s`tq0figrk z#_ULoE_L^PZf=BzRK0s_#_J>Np&IivkF(omQ1ttSjc(0JyCvD43_Po-gcjtn3zLhi z3V{xF=!k2XiTu#|xGMPugT*x5Mr~r=5&E%>pd?x;t%vN9x?!f++Gh5Ok;u3UJnNyw z-$S;gQuBLer$t%EBA2ex^GzHRD?R+epxFA6_VL;1H-oK$PAJ=Zs4XWPUCW^GJ+2fR z`cHfx5F)x8(4V0*_|QjUV)I#K>3_>Y{Oaii4nDfXlq>r9-c)La!st4zGFKc!_F%@g zSg7DIiDb@|-HwesYNtmog}rCVZu!;$M{&qH5@oj&m|MKG3S`hQ+rbRzQuUTvV|xvf zkwKsD*H7*tTY2P$K#uU5lF?N?yUB5GtnCnxnxaxsVc_yJNN#;=Mx#@XJx^(t8wOvd z#Y;U3+(&WeYz1s{KMcZsvNO|diQ;SOpfNtAmsmxmQqWKxgc$Hv%Akv=TVJ`% zc%T@adl=GqGgSG6k*Nm4=@WPPJ~&itu>yvpI2&cRpznvDgcVy%+`Gr-~+)AXl|-Q1afZ=Pt@55lvck|F|_2~w)Q_n z{S-NUQk*@{dVQcXPSxmtJig^L@@t8Y7Q3GVbubiVJ!H6!w92ju70=x8=k1)RP z^OXo$n+uLU-00}22R2+_Tgy0xbtQ?dMrtF}7~hnTEo8Hhpy*KPNPmYJ5A}vpff*d` zIVJ7~UHe7uLn(A~bgkYZDV^@&M?8(cxScjJpb8|CmAFL-QhO72B;CLR@C?$2u9STO zS}t9Bw(`VgD@#`|lb_QML2i5!6a^(-J(#DJVs9yRl%v(>meKm=zW}i07Gp-a(n=op z0(Rhq*gg5XiB@}@gfxI+;F8LVzD?GLNqRkxbdtlc=3DN}yJlSVXH^vk%Mpdm0Z1xQ5Y6KiBEfz4LZK{?!=qe0X1g{lSWRQYCv4&uT@Z0lk=cm^3GH+ny4+M^bH!hntF)}V3{VZ zpseZmQqPrIAAtp;017w7pFvIsv-7Y_bd8*z?GGaK{{m)ci^fF^Sb_>116y1IpaKoO z8vcHerc6p#5Js_)@NaVb|F^aJ|JkQ?fD!Qjoh)*#WJCWV_R1jmHq#U2!WHIbL8l@R zy{$1)d%2%Ohy-8yMU%s6JFJWqfZJsJ%LRx&SqJ@`YN3ptp$MA1R$}L)Yk-zIuyQ-C zNYTSfrUYaR8($1FygeaSNNjdtF$`b=o22vvT6LO z?TL!al-ZxU^6SG!jC~s*iKAOdX0N2GYdo@X7DJXJykx&-q1YS&pR;>(>73{#R4J~a zoX$b+f$a6so<6e}YC=%k?7B`&SO;y_tq;i8oPGSY{^#t8uEk>6^n%gNPqDjEn%+2a znt?cd{F!s+Mldc}^y++ESMQ1O z!x~1q9n0f~%X?Zs^`NDj>-xVtKC?j}R6=bT|0{Vbxz%h z@{6IY2QRTSmm$U*DHV~*lg>~}9Jt;eGG6_x>(i~fdG?hKsLkClAOyjfQfFFI8}Yj- zS!(`^WsP#O`IhlzY<^7CSu@C)j{sN~teepk2{9+*l(xTM znzw(wy}oYmldJE>)!pkmC9x;9F(7gB#B>uLLZNt)=EdYULEcNELc_(NCCPzb(f@eO z_y^+i{_9iA!3Qn98jZ!=STM?%mp1>ZWZ+Hk;_G#}byd)w!`cUOc48*BF^6%A(a|(w z&bQvu^~z9>+-dne)gwi%O7y4UPtfPeZBB90zw)}dOTzDY?Ybp6-nDfbE5^QW)t_e8 zLB4|G3?3cD_u6l95$8Xf@HTg#kvE5(V`q3;47pU``%{B3#IZZoK9Rft&LO*~S{csf zPrpAWnSBSFh9rRnH5m0&DUY?n-q|e>NNH zqelkky^4saH;Gn_#@<#*5QreQNTgfb-GpC+(dH(;tNXg<#g;XD7USw$bnyLes+zqH z=`o{T4thkHO|2>s{nFwhR*n5ip8({N2)MP=AgGKI;(=Qo1y8Kzj*vZl^@pdJSmgpq ziJpQFGO(U%+MCZEpYFJHk11bUw=(hwUd4}fAMggjIY)|f+C^j%=$x)1;#^Y9FI7RF@70Lhwps%q@USPy~?OpzXD=wMf3e`(LsZNDjSbMi{s*}0w* zcg+0-Rst?X0kA+QP$p|rN7PLu`qk|ny3=2U*!uULsuO>7iIT*wdA@t>LovQDj-!9| z8^-`09i!!?OY;Hl!gY-UWC#HXl5w{}xL1C90Zkx=!B}897!Sk^;D_VEV)W1ms&WDC zPnx@Dhgkud4YG3-&|1tb7)9U%P_1}GTlnYE_gc00DhS1r&A^+w&;%mDwI+?Y3fe*K z=({MY3@EbI1X(!+;jE(6K+2Ajaq@E@ySYoGnJd1^sOl;+s7mF92WflGcYVuCkNbUJ z2IK@hd3;vgGcoJPdq|x&wAwhBeIeY34e8G&v_GY;fE!+%VE%}0Y4n1E_YAxR+&KL2 z0s;%t#~q1!Ob`PD_`_PcKOWUcsI|&Z{pb|}!e5vHRNL&>ru=`AnaJ_K!Fcg;mdt53 z?+9mZlfzK!NsH1~V~8ck=?X?piY4|9U~m2H>@=Qu3T^S>ij}7)n=m8#L}4aZ_itkQ zs-C@vDQNGS2>VMgWg^Nyv&>|&-$U{Su+Ee+Mp$mCt6iT-^b2( zTPX|x(AwzsSE$0CMFrUG>`lvq#_9cSzk&V3J)kllfIY*;B1bkBV|CzoEJ-TyUd;J{ zW1_b2h?3CCYzY8Ea@a1(I?G$X`_E_|$F~-)ZAR}Id2{n*K?W*Cqf9!LL>W!ynjRhZ1i=kISjn%$LP1ox8tmvWg9Id9^cFwe?0a<*u zveOho&-ElN;$G@l%JV76T8U~XkhE#rr5%C~h%2rXG;btP0sZ&Eps_G#w3X+!FK?s0 ztE)qS^2#K>VWWy5mOF|yD+B2Ib9p>rB9a!HsCS2zk%JgW{{J8yOsOpQQRo2TE&??IkO{gp9uu11wG?@#WJe*$Zx^rITP@Po%DySz!Rv33X zd5d4iY3Wvp`qW_FiTS{r^(|x9Zy;i7)ympQkr_blv*qzrIb}9SFfs~PB~TFyXu37J z0H}>Xta?k@o}z4YYYikT*}=$KPBceJU2$SeV&Js_$shtY9$}@l`1`tz) z?X8@i$Zat#Vi=#aJs5F3CdoSO=Pw|J4`gQ;c8`oGn<0Ua?5Uj>EJ@!TH+Z4UVO{f6 z5+1{T-6(ESwkLgu1aCc|{+)3J^p!^2=x-s4^M~oAcuzvBuf!eORgg~2JHWCYEQ;n) zrETR@#-{?OhmSm+1^Tz1*1awkTk4SHulGa9`J`KQiVgZ6%53dCzP!<&0*FBC*#X&t z?4h@mZUOA2SPY}6pX`rlo6~cnH_wVP7uP5;!c$m+P8wY>-n-fDsONxvUQRu%q(EX1 z5vsD0n=5lWLOgP(RBb>%Vwi0oI}OMWjzvtZ8wzOo>&#cgS&3CKC^J}pQ$NiM8`V&F z!_;)+B5eAToVu&AR!wXmOhVY^y>Y}@xkAn(TGN`lyR6mqSHsuG+g0h%W{jdDjxI}q z8Y$I)whEH;K-%8@ahrJ=)D^AoN;ij2yA-gD%$7@FZ+Q3E#k^AXFZTGsAlJD*%(3C2 z^xWQv6t@%0+S^FMASiEx$|>=J(=Mat`$bj)Jgf~n%XpomZEp`gyttI5z9k^t#$k_# zOM0K2jwHB=&pjB`%vqe43*@~UzHbS2$y%lh$i&w~!I2rdE_=)U8vQW;iYN8PRdT5} zJjLf~&IJ?i3w91v1na~tDMM=~#MdB+e7bB;T7>udC4W89-8j`qlJ_es%>oF9u%GP9 zV;{6)!c@DS_`)sU=gh#h;8GHlLP5yJ9s-RStYt|I^$$=I5}~3^fmrLy?GA^}AMc|y zr0ZbJUuPDevIA-H0rdXT{Wp4c`&{Jj(}8tIkeO^+ zA9tpFa>aV#8VrW_c0@gR3?TiDHTSG~3L-i;T(bFng2HvW%KU$vX3wsSq#;eyVtjKgOFlo%^BT4-1=~2pm0!HSPW{-z8#jzP7KBl1f=Yz1TZ>W6gQf~NDcz%P%{(Az1+fMbhyIq!5SWb2;PyeSc;yA^6 z7=gVgweKB{I>Bz==wjy#yavOS2dmL8ayxwJ&b*plvLnf78w@4tZwhM5N=pUgw80-s z6U*pp8kr!&u<9R6K6QRcMQTm+_bn0I8eSVu2P7Ysf*(E3HT3c)ct7MrYk{T>Jf6G3SU*t-X@9x~J30MZ@ z0f~Krz=>e9a|XZjN~3b`CAmFQ_8@mtv@^OW(_8&^5G5&EeP?xwvP}{<^2JoV{}iaC zT9yvNS5Ncb?(kSy6ByaP@pPB|hbP%fX0ke-E8FDl@^A?(;nVQYA7>^Jr|x0n>DT-m zxPEu47P0>Gsbhz{Ggw%YV5*nM+t_*SSiw#*hg`s6*_YCGJF}y@_ct^=DtVX0KXisl ztM|Lb|0u651+)o?_078zMXj0ntOv$%R~TLBAqmu#q&q*AZqo)wjX-gr=rqYK_K)QX zH~gD}jx75RUoR4PZVeSJYACy!Qq`&KU<=Uw!6MInzw| z{;D%C5BpWvS&!l%J=z9H5$q$q%(gorY~0nHvny|u=Z2Lwoh~-n@ANgNU!iJ_EnOTV z0*C|t<~O*3ABM1Qc%9d0>Y(XYg)hc0Y}2&`E)@pWYSPF zBwrciv<@viX{K^4jsN85jXia<1y3GjkGXbrI@+tC*i6U?44R-R8qxloI^Mn_jtP?o zqc#XQslcPjRdi8Pv?gri=pO4f_*THkd^rT@%Ro-coFnL!p4-ozc-dc=eR}&}ASP_J zK>ou@Z;cX;Gp?jXB)#PIR$&P}q)Y4ug&JBUW2+8)CN36uyV&=@fq2J|XCHJt;BTFO zs`f?XK4HV@#o;t3>~VBpnpSXZf#Zs``djM*%3z(KxQ((b({u{?U)-+~!Tp3V7n!#} zR6iBZX=XD^{1($@-Mvy#KC6MDtb^a$J)2x4I=>oZ{j7A6o2sJgfpu95g~ z-i8Xmq=i#AFp;g(?Ydh9lmJ~uawpzs;YTk0>$z?dCi@hxmQ#+I`M(#8J>&Bv1jyx? zRx#Buc&?i}S05k}P_1liGc?V}O$%t#qTRwtw2>XJHcUaTB+2LIVLYo^%mRelcJPaG zX}!MUb{YLQYmtFUZa~~uq8<7aGZ^?f0@yQ0l}e;kveFi1i4$YQ3G6e+og3}gJ3YTj z-ebeQcs8N)DI@@Y1J^mcguW@+rT_&D7^HD0`z7QtF(WTpC4jR#vmH%>I(@t)%{dOb ze;xa|v&GRMctXSTB+!kP}xf2WOGSW{1p9OO3JwP5gnuGJanRmBJq+8cHaGlM>UOFKlL?7-*C1R#`;|P{o^ws1)uAgi<8@I{H`ixq1T`^uNT7cjcT{*KI`_} zCYve1ZZf}|?l3hvcb`Dbw5ckw99_HgQvq!U+AA1>4xd%rq;L#`?VYu`(_JpGb~8Uq zgUW?1&9=<(O8#bw*~#mGTPkLK6Uf{=3Yp3{=wQU09PjPoMsFzn)2ynyuJn^PnDacZUnk zuZoV8Z=$L??eS#}fpX}=86?a|xhNGm{>LDX(_u8IR3GDE=Uu7u-MzK?i&+jFJ$IWpG}JI)jJo(yvC#6b!7m8TfZ*#aaDt>3nL zWPNp(+OC(#d{Jo&NWTR^p0%83*9z(jv33=)qrfS~F7U7tY!|#YXrd;TILpU{ohmA^ z$?-<3GM#4^=`EPxCi3;?u5?T(w`K~2CC8z`W{+yk1aqlAp|)_Q(B`&w!ns$K!l6YA z)8bF|%U1&$nO&_57RcHI(Hzz9k_FzDG&|jMS;p zC4$I5k-u-}`u4>4G$15^LsbK#d{Lk8kZmow1n&7NM{CQAm#aT6|Ih6aX=kIxOc6ZM zt)3k(-o(^TSMk?`A@_?9`29&2W>FYjwvgtI(FvXIDJGNkl8~JKq}lWrD<){TWz!Vi zJ_C-xn~C5ijc!$VjyXqIJ{HL>Rls)6b>>8Wf`agXSz+jEX0;FibiYoK+ z<7H@$LD8fQa{e)iY#DBq3;VpJQh8pJMBPqV#=T(uL+tI zTD&(!02+FLjt2=!Xby6;jPj3=9=?F@dIgfA&)e)g!WgiIWEWXd2VJMrUQ24Ts1`75 z5$Yz)^Z2px$l3-<>`J1yr<;hEw1P1^*HX%yQ!jRP(>X!nU3zunD$t;6gjC7i%3Q{S zjQ7fr7qJyNCwk6nfL<^f$+&(^BavQ3{{08&VI8LKVxyiUG^YzWVNM)9F<3BWfrFnv z2XxW@uU-P}Yb3apx()+`|8HAZPK%;cRv3$>*Z{l!zv=Tv1DWj@ANFgE-x+6A7&So? z{x2D_SyfD#R>g;D@JJY^Z0yOhQWaV?*@d+N16L!-k4jr(1pzQu=H@o;#C1#|lc`k_ zJqZOPf3z+?Cnk!FN}Sci-%4w*!paRgCPd|d#a-OlZ{5MRXGg}k2!X;N0l}^-uCZf+O@3}v9WK3823SNm<8Tez3dSU*KlRbtu)H`k{vLFSx6De6shqDHGdVTE=A!Hf z8~KlZ;+H(Q#nz)PA}TNwf6{75S8D$*bD2wdZiqtmhyrsbMyg}M=6gpU&x!=4IV^v{1p z-aan-b+Dp*{$*>`x63vHcxCDEL|&v5$XW!XCUpkQYP#nc-xuCsZ^79v`F1-`4o0C+ zUdkB}UFg?VF!Sx*E_SA(@r>WzGs)K;ULALc7^XccrtgEi6rNNg0#Ny=1&$Ftp$GR= zKpu~0Z^tp^Y9%ya@cobAUle%l2mUCl)Bb}FgZVF{J5(h)cJ}rg`VYBvMdkKjQcR?` zVYl|$0eTT7;4DB6n&-?qd+=uSl5`8FHQIE0i4q)45WMq~9>qW)*5lmu0w~yz&RL&3 zaIxWNU%h9Ra~Ebq+dNP$?3&x6Oi+q~1O&H32sJlb7WVicN9vO^?Gnf@NFnP0!{3iv z-A!&Vaj-gQ8u2G{!0JG*IkB{`9M;c10qYJI5NS7&ZDpsoUOgPU%F|~sEHb6_DZdMI zCl^ZT{f@doCJ3|6(01$^IKA#eHjEw2KlCJAg0{xO#I9_bJVpuZ)IhJa?=;nRFunfp z_M2yvb5(^RdXX(7)0-&j9nA#}bR=w_+UN&^OIf{hIZRFQ5}8f2 zed!kjPG_crO3(N1H#~c9RBg*;pi22?*v*|#&BJi|>*%A%fk$2&G?jbLY_DyE`mJbo zG$YT(j~9;%`m8qd%*7DJfT{F_|&|IXk6q45G*-G3)=!Gto2Bm$@&R500YqAS!?89QWk`zKIL7%SIM7@1=L z12NXYn{AJiN=2dqF*6lO96T4*Dwg3?piB$g;YVko%<5aKC|n3*xJq_axE(`dR`|Uq zy@)SH#1WY=TC4*v2l9zAD72QUltS{DD=J`$3;_7@7Lt!4pJ9F)l!Jh2?rh_H)-HCM zj}9)`FAg&pxOyI>NNT-gv$$RjK|$*@C780vJ(BmngHk~u7L4RfxD2;nMl$spIsb}{ z?}L1o4vnD-2w_m+2jKcX`Xn+#E)*$j>0O;;K-RVeeyc7O_AOV*ZmS;syq$I*Lbfse zH1}9*G!A{1TVftnHQHo)l^26tNTkeE3XC5MKY*%kek%n1yRN|-FB@!k%iH}qa_O&) znqF%~=nJ$5n@2ntk9_+|5D<4O4ssi~ChjW99kBy<+TN$aKLu+jW^62xyl;Wy^#dVl z7Y)`JXc7CmCW`?N#bI`>w~*}0O>C#$Q$dr`+kL?OQH;R&Qq-c^6xdG_!5U>oCO4v_ z=pQ^_PtfSjH_5{>mrf=G`V2n*a>1B+*3XGz`?V=_P@Vr5$$B}uVDvi(!ahp<2#m39 zxM8N*A#T zrXZcT{;glS6v()Nmke-*6YJWwKxZ)b0(LjcMzL|aSo9NeaqYMA*?*kui-&PhrSBKE z^vahV`@%-V7T19Uf`;u20Y!>LS%dihbYv41Yh_#^o@ug9mN|UgCCJbe+4R!c3YoMS zND9{FhFs>y;v6h*WQCSKq9L5IzuP)JLIqjxU6h}GBBQGTxmRrd=RHctHGoxMWu=}$gFr6 zz+6%1p);!l+LtK&~ zv3FfB*-pbfCAt)x#}w*K8ooEzFNApHwv8wvYh7UnkLcpg>BZltH96+?q`;DAUw6fq zy5O-f3ux{6-WU`njRu?fBdP(Ug?p!tF`10kRE8Kd8lwk@Q)F-ZmV7%SgedtJnE-ks zq5vpG{8PI4R6W_u4-D4DdK|hl2|WOQ z`5Ch%JXQGMs;;||UD`6oZR@nR$P#mod0S#psL2m3Cy$O&kw=%r6xPm!JMU!ol1U4v z(4w@D8+i}Ax(?sjpI!aR?jcAZ1@^N*shZ81<$xoa(Q8mQhMFSk?;Ei@Z_}-bU8e zO`$Qr*E(fQc|(~#st3bnq5c%(3n{K0gj}kuVC<@#-$WDnKsj8Kw0QEyzybO&3_;mW zPKj^7L*TzTG;`+Y3wuj{@5@~9S5?JRJA^hL(+Ob6XBp&T{l{m{McO%$EbxxAZvXW} z-_?7~Na)@>$g!}sLhEDHf}LLszGSz2QzezYHR?6-hBv4WDIt^}rfx zkJzo_0QW0ZX}GJRdD8a5bdgm7c5Ly{0%xQ4^@4=JZyM>|)q|{~r(@At9faCYI^d#kHvI~mX9Pqn8M3}CSalt}JaO_)^Nt1v$!u9}rd^;78Owd$$=ZJ!7(_Tsk zSRD{nE|{+;1|X`@l0O~YSjcRzx~weRh#b$^*$e+Yy126BAqCBV#AA?dx-r-?;t6If zQc34=m$u1wRqxKZP&1`8GB$riF(`e?CU-&?4Ogw90;+I}=0`-_>?xXGlJUCYNp^dK z{?_S3g#9;EsjM-^JgdQo-yUrWTS7v_)zs% zUlvDv^JXu|fhHfwkU%G+)c(V-_vHk8H_t)^;)}yZP4OvRdOq6T9uCF-dmnOse@|g5 z+%Vy}qGK<2!P0B{OLQORo^61mn=RLA11rT4vZkde0YAFL=u}aj_M4_R^W%Wks{t-K z-KaloP+IwMK~wfWz50*FU5~%L37uDnmsjb~!cp;!Ynz-CDq>e1J}c;|?@eLgdWg2@ zto`n?2jE(Ba=K2)E~c!oKCBrL$g>5|CBg!ua_)kWzJ-&N(RIDkp{tUOYPAe(lzC8$ zf8u&H@}t|(v?<@i3fGm9OH$*Fk`GsrlQ**GTnz0K_to??0I3u#d}J9tqmQ{0IeF1@ z-dwq7E{vStTJwyqBp?nx?pcegQ(cU>p}JILF}+;z%=w~^et57NPGxqJf^@f?sHK)V z?TTJW^G?6~z26o!G=-!XbTZIghJtb5ulEKp%Cy{R7wrAf@Cy26gTi_Sxj8pYzFY{p zPD+j)*EJ>&FzyC@7UDjTTQAY<*Jm8&6{zL5W2?d(R*+Bu356&6TVsg=0LkQsAtfy9 z9_nc(L!fMj@sn10?=`6Iz#~s5$_N{@!QEM+kG#)5z%tX)2MS7g2pq;?Jr0Lpy0KinI(IruLNp z#9yhOrzr6vY$QD3bO$e;PZ#4rx(H5iJS1+;fUWhZQ?92LT4zM7zk zLoIc^0==NRRH=E#b){>?4_WJ0u>&E0cPm?oEINnh0C)?Pd@~CBvcDC`lCML{gt>@H zOSHvF+zFSt0OdR{u@z_0(~Xj}JrXo0zzox5p-1-8D;brNbBcRI>+Q$uLBI}7a$@LPO>0K1wE3-0uvyazN@`* zLf#vd7Y&(`wC=fSFfa97`m@oExo9GvbxAGP)>14Gi<`I}q(C4qH%oNN4r7>8$owt! z&;N+?yp-vLg{`+mmxO>C2o6cupnV9tt#lKAszI276-m~BvLf#QQO76rZJcB_?c_6J z*?8o~{T@dS3A(Iq+rVhc2zFZ7h-sWoB3;kt?vt zhJq35inzss93xt<^(z=-W;bI0gc6mwZBV5N8r`Vp=({jI--(sjxXN=Sjg`;m$9@p2 z&qWV+yz;+0qU%||-|SZT6k7u<8*r}S1{!e&UN8TLJ3|j~kx@!*ho<2mxTWyCFvr}O z&Qs=FTP{e}^e#!V__}GZC?Qe+J za0!-F##{K%vnwlb^6ARyL6v%XHuiqad@j=1&M4QdW#edVY8+rs>x;BiU$H+7!u4ib zYIh>*w`J%-TrC%3N($pCK-8c;IZOsM;(zJkCV~duNMvIPiv>sh zanp#ENZ9ZXru;wtV*;}RrT>rY-fTfK2b#09f+j5_EJT@6Veg`ZK*IZvEk^|G|x>b}1%6o-eOa#$hm|K|$!;=uF??irL ze}F$1B1eape&pS=Dfjvgr~S6?%ywXc$@zJ-4O@N@T~_eN zJ{b9HtY%cpH2zXnXP@?#V;F0N9ST{;P%I?d*X~GMgpHoeKx)d{U1;_SFHgM3By+J;TtU7Y={p01cQ*s_9|o4?6gDRbL)Y0Bo5ck!W4wgC9PY^L<*f?3%=+UH#Lo7|9N z{;b{^JycXSET0TqbP!-lF7X1N8g~)Tre=H2o17Oe ztZA*g^@9|!817V}{j7d4H7*~JJ6}G`cvW1QcDF3Ho4XO*zdQ336|fY41Ig>zL6jG} z_W4ShN0v!k!So-<*>?PSPb*A%w|DGfLX6Dn$73kgC1ib^>#JQ2CUoJ)9iBss8kY-) zM?$9nWD0qtL*hWa2e4jjkdf<~mDGbl;M{YWM zeUlTpGv#58>wwp4=RV-kqc}15S8%E=!(+ksXR(VWd719sWi3qJ4b_P|Luec%Zim|g zv0^Vs!IDk}P1oI%#2=xOay^NntCN*hv>(^1^LC8WNHaU~3#R)_n%6M!rdIGIo8{k_ zYjz89^)k6wpx$kCZF$8FaX(_;nympIz9lcZPBiVDH4J{Lm)o{GQr#@_$bwOB&8_zG zn~%<*@|3RC-k)}1!uFjzZQ#iwmn9*acc6;4b@B$?P2GXhp4M2HyoxxWwobH$jf!|@ zoxjeM!g|8jIfG}!+wp3u+=gNIHUhUc+HT0o9$uzkY$YVRB>0O4hs7UX4%7M7v5=_6T!K0Un@;^qK__7!(|Nv~EdW=e5c zB@!Gop`{DxZ3Dvt+$woiS8TFC+>3l({9N7gUmNa6aKc6&01yR4OO%_?HIq@^hAc|w z@hdBfBtj@;gEhKPQc7d+14c(Ui~-MFE^E=hrr0!hM9claYsc}y0?O1%ZLQ9>k*hai;?4V1$vp(DA|rpz=MDgECHX?ygpMaE*dG$?#Y8C|FPK8x zlaY&4JJ*8Lnf1BiV~2SqvRE)@EvgjJ_1Xz2P4GHRIqx8?=1eRw^VxpONY67+SY+n{ z+WDF89QZf0(7C0tK zl3`&_7|m{S7)FUPK?S{BZDV%{hG!pNlihKBQJDgWye3@FYBH)Iy0mu&0IT4(BMHQc z6oR=){vYJ7nE^4Z2-a>{$Q^njcji;M853DeN)eE}LqojbvOXD_-t?0i*}1}`Wsb+e zT514`ru;OW@l#YLPfV=%-Qt2FpPaeNzbrKf(PMr(6RI=NUwc0Rx0o| zZQvDHoFqB56P)4Z7JXAR$d?TTtEpm~NF!JAMCOq6<72ts-t&$!uVrb8ReA}!318r- z$P!(?qQjLuqj-a&L=)EqAglPQZvvzjJaau+$~u!33pz;KI``KtC$5{JfigR70&8oV0x>7_EVvyX~Zavuc^6*|T2Hcaf5G zVI(`y-_-aK*)Y_K`$=qtf22+zPDs*IVMg;|`!YF7m=(AVFh#Dn9Uin~YG3Wwr%R+V zTnFWYx>=x)Dt&E!i3|00~?!DF-b! zIV6rKvm0n4O$Qwgq0M=r5C~%NE>@}%m`=yqOZiyuEnkf-N=uG`Z1($pwa$9n;95*n zveR})T}6(?=EGDfiEdi{F+ONg0Iw|N)O=6(x1&)FwUS1!J!^&tl+o2? zPu8??r&KkQ-J!gd{E9d$#$Xo(jSY{&v;DxZ1Y)-^&%y-`2TRiBbMcQDn*v|M5;ol) zSr=tx5P0Pv6>mwk19)@A-Rn2f=AB^yy9S?a!_q9=FYW!f$0d6eu9u4f-Y2NVz0lPd z#H@$xa+`vv{KWi=ghq__pWj~m7IJwnAP`3{2ZE7+++lt3-e|y+%7rjQ$j_txM7X!C z6=G6$2@Y_w9=3bgI?CK1jLd%z%co{iO`4A`|A)AD4{PG=-bN>&pw*Ik=&M#Bt*BTJ zAff_7GHJDyx@`rS;Ib;yE&-L$Bx=8i&(rP^_bM>}qz<6c8A`Xc5-9-&3=v%&g$>cjvN_qEKBLc9nWBf&Jl7@4aJ~->bdV*LUhLLB7M{ ztJ&W{p)~;p-x(sWC6aas4T34{yGgU{4($E0eDtlrzT+9^Rk#=B_=|D%^Bqc~8>*e9GB4FCHm_6(qDBYMDHo|d(ieY+Zj%l{1T&dGHp-9 zq2A%MZ2svEI`N{w7vA>Zgt4e#%`YYB7p9^~UX72Y@ zm3Che#ah|)xP^0E)@UcK&1r4$YP$KwetX`iR_uy29P-pZ<*uoAVUmJu@$Cr=<(ZN>{c9XMkC8E?n$B*Z(xG4C3^Kx)EcQ$9#wkMnw7 z{wj^Q-L=gM8Q`TDQz@$seqAGV&SP1Meb=GAE}_@|80I#YRi7B1$`bHyWMV>V|+e%Rd;TQSU3zsI@Y;vqx5RAUzec8jJRUeFVC;Xuu8*5+JQohkyw zdoX8S$%JK-dnrMt!Qw@VukYvZ z7cVu92!8vH-ffiuR6S)936m1!oI*bE+$sSmzIo^!X~mxXs=o{Djp{Z( z;r8+Uhkw6DWOBQ$`iRAk2hy;{(kn3oDfSqkl)fsyI1ydOT^c}DPRAVi8p&GB1FVhC zPH(vM#=c_dtwzs{R{e7KEGo<0QQfue)k_8^k`eo35zKVPU6`UXt?~Tk7S$K+o)tfu zc(*Vduxr9$<*A zNBJJ@{pTh-9@qeFTt(;Kh@EXJbJC)2hLFP-`H$;g_M1O{7XxmXAM)UlPjI0kW$8LQ1` zNhcX*=%lDAzJc`{q78X-EbyZ*>pRxElnlZoYeCYixzqH3EbtZmKC zKAwS#6%)&)>(GC@1k0&yCPp`WZ5$zG6b4i3KGCeNe|#3)<6B(pC^u;3)ac9Yk|yynd-z6 zX244-Ee`n+OQ%M&>5)86AdK@t&>^^bk`Ic^FLA?*Pg4#C!rfhVlmo)@p@dvy1XpN~ zOdrZR^${|qryZhTV-z9PSnVV1_jh)nsvLAeCWWuveG@Ve4^;OLh4Q(bsD`AZrk~c4 zEu86`(~b5fBKL?q{{-_}l3AP1z`b-42z~mXKAKc;LOY}qUH#y))VS?#evqRkfTgic zRW8h99PI&znfeMW$V{jd;vEmb?P|tdiJhD!$+iF`>T3A6$kzw#ERNm@Bg+T((iTx? zsZF%#p72EnV5i)4yhA1Z&g5%PBB|nC)@Z0zjL6+=-+j}u;huV3<#MNB5gd6L#>vRz zefQw4KgUX(a)YT>5B*veW_jyg0!@T2yxf%;#JdZyV~>>V9U_W;g&9U3YJI zG&0vgqR;tJwH#C>3p)}rn(g!BrKM8=E@0vQ@?rw?FPC&^ZEGmb zW!Va54GUi@tk~`@nQ>)z*uC%z3-_ok->Qmb%#e=-ug69o!|vgoR-$%@M{(AU*m^jGLLto!YVcu$)<^=*ot@?u>A4XyV%**t?% zj&_?R9H`iq9O02lJ^01w`b4w0E}aog@*JiicNs1uQxCY0r;Rzx_3csnrBL2A7(-Hn ztgec|?SR$7D#97L!Zt8|##;Q)eDfeQ>raZUG1Tvb6$;!p?1^z0PNg(o{6RmzYmQyJ=R<9ZXFJhtSfwozeQ4< z$m+cut|OPR_M$;0mu0bC#3sj;KE1-hTsGc*^i=DpfD%~SpeBC+&J=fhSZX3zbem;8 z+949VE`1?#+jbl>jpT)x+#|(Kh3jUCT<-)~dGNQNr3|UhyT8Z~D|@tcT}$l^qXTOR zB$cPGA=S~0N>VFK&}bbJ^sA!xLwn+H!uA%IqtasQWMoL;tI!LGYd*{noBlq)&)v~! zPAbF8+B^qQr$D=r(;Iv2xXe~qTOEA^fXt2&`%Sx|SS?kV1(kb1|I18hQI4#zwi8ZT z_Jko=r2H3LsoH9bmb*ef!&Esp4Iq&}NmJlau-@{>vw;wqw(qmvn6TwTgG|2D=Oe7m zioO7JxL9Y4uUqfBJZ=+Qg|5e`^70v?(Vo&R~Y(!Z~D*b{CD^wEAAO{>sBz$%qt=tqm8D zghOg?3$XUT!+Of)MZ>|G9B{q+=$401KdQRvNQt&N=heBF&?Gr*`J51xOvoOxZ9jo* zo%S91t@ovhLE&??WLROxHSF*_s?TLf&(y9G47^DFvs!H#pbdc);!BI@)!_9iO3QDz7D~rIPQ^}@(y>W8Y zWNTsEGD?}=>TS`O!{1z-)&QqT{MIgjot~kmuGnKa0*NS>ALdHVZN&gYdDx)OuPKZRB7xHCeVR)3%QAiw>Ds>`&hOlak{vY)G zf14fA|D|TufBtyr=0;LhhS=Su}M`EmSTd2(rthu$tMQ{%KXf2RxMMkUE zbrHo}nWqVG2{egHTJJJE5Tmxx0cwy3KUeqkO)sU;0>XM&t&xQ#)PtMlFSnY? zgnH`RM|SPJ!D1)3`{{wPJ*k)nE6>Va`q8ekg&mR0C*R5|BBf`1|3>cr5sl)#%}CVQ z#o?=zxy`wt;l!9tM?s>Xq=F2ME*e;l99Zze;2js8ThMS-7vRKszc-^w1xRM>-|9H? zO5%0yF7hFZ?mtEILi#*hH=pNZk~8xG~z!CtYaZhRmhNpNI&V!x`U$gila zKym7yk#j)Oh|S&dC#&7wA5KwYfeb(5t-lVB-= zWldGo=zbgH8tmIcYkvRzT5Q-u`-0K}$uO%<)%h7D**U}riJ3r}M_=^*{v-C?4Vm8+ zTzi|dWj0X8&Y3sDU~uK%$cjqFZpKLOj*CE=lqQu&u6Mm$wJI(aO*;JHA4iDjWBbG% z84d{EKMVfAE@J_wsJXCf%R2b}3DX-VfAtE+CND_pWw6tV7H6=;#MslRF?d z;rHo**iVRbGD4gcA8isFzT@12_x(AX;JZ#BrAw+Fs!e+xrE@_I%k-T%3~m|S%=ZEs z!&WeaP7wvL$NV;|h_(bQ|x_l}^Ds|QB%eT_&QLrQ$Q991h zC({bc_kVw;foIasFW=nyz=SF~`LM{KasXX9ccOM3Yz*W3nOYNO*w|;CJzc8kjNk7( zOFfv&vOqW@ew9r@&a-t(1*x9sN2@q%Yi})$c1>l z6p*yKwiJ>*t;j>LlN+iv=28O3$)iV|%dj+hF!>YqyxZCQ20O0!7FI{?zo1;GBd4IH zcMmdQBs~WX@|(@aQ-0dfr>J*i@IHs5%3=Sr`gU&f$urK3-_Pu2H5eo%UxKOOl^OTQ zKFdfS{F+!)TY~p^o+j1JRVO-G}hgd5Ro9R;@d)TTa%QT4yCO4?V>rfIY4Ge z^h)Vb7T=vN@377JpX!2=yJ=0(z)iJ9i~kZ$aV2Ad;RH@Gsuetkdku`>ypLl#>Qa!9 zDIj3*W|~ly2Px(|_za*;^ZXmmpCkb2BBt3Gf5G%@fCSpWBVFViT03_bN}0tp)~=PA zVf1(pmqI-*5e;hgIPa~{{LO;~qJ((U!kPLw+5Di$ z%^AyDuo4tW7!04;>UtM`VOTuCOPqE0Kw0uIK#orrv7B`CQk|nFqqqx3>%Pt^&v(W# zTypC0WTdrGR;&#SlA(b4tMIiqT&!t=_O#NVCu*r)Gh{nbEkTW zY>h+49!U6~iRihXGB^*RO+H^mOhy#h-$%>M3RQ8h#Z=^et=$oV4gh_TfJ7%bvB<5o zK?~S}9UIxAk#f_3?0xj^Dnj2945QFv%}#$t0KM|5-~4%){-~@JxXaD@Qp`Gd2<=tK zen=g;KedR)65?Wv^0f&UBh5shwXinN7XO$JD!W&HMf_yFR$SL;l*&t^?AYtzKGE0{ zp_H~5Hq#$WTMT$&FPVak=+!}}YO2B10ArxdWfq;l4Lg`%FlzO#G9JuM#5itu_3{ao z!6+f7fny|oXx&*Ov>})a-T04%>*pZ+5LQ&Q)Jc)@VU)&!j3aGeifTG6(QP-~?*>Z4 z=#s0;T1Ta(RiriJRk?Rlq7^vT6yGru6vpmTu$Cl*r3+cKpny_YwS}1Eln(ug)&aR2 ztCq0)6W537Yp=QdQMHs0Xv=R8+u@BfDtjqfLR7zhmjjQ zLqaD^*=p5FMq&5MWb?#%E`ADK2L&4m>e6ADUft>nd=R^W3b2@^X@YgE^=?*-W30tX zyETw4xPGUivat*}!x`&Wy1gF#%1(iJ9t=O@8OEYftG6vplVpCm{89`d8*3Y(;wA2-#`WWJ%-?x5d?GGg7pS794W`6oro3)- zOLuNlzrCjp!RZRxpn?5y2_Jp_T6wFuib~umg+_CSW z8~cts3cKqrGnok;Q$xDgW9@{#QZy!io1%H$l|ne*OAR0qH*tu4+}HN9TH)J`VQ(nx zbDCB3VZn4|6Hy6)$o-V?iUSBUJGS-fR$K}jq4-oDQ-AcfOY`ra=nj-a!UkrWC_w+2 zXzmWtUYDLjz74&_=P+#XGwW2moMSuW#WD#i>X4{Adv~;ZH3@mzFs(t_xl=(2YUST= zIi+NhH!s~rR?oWixnkxm>&b(65ByUbPAI9UkEd1{7-v}dZ$q(lpv(BAsGn%#9ep(~)b@c3B9mH`lx4RC^`=sr!;olrt zW}r<}^sm{qNu=tM2^jaZ@h>G=nr?W~fA%K;bYHzfJ_HgZ`}a{71-5wE#S_RM^5cj8`bzg`{LRnkIK4d_ zkLOtgsRH+z>qn<<{UmwgE+4S>E!JR|vWKzC^R$%9= zJ54g?|M_lx z)2g!hWqcOLkxDtpTp1Oaa_SKJs^{9M#-Nvw)IS#ok%?ha@aAMLh^u`9>_{Cfq)o^F z%%7dPreSB!9Kb(yM*0Wa1OFxxR7!2UO24Y1F)XIgUSTn zO?lkCu$STzaI+h|vLKau_h`Sp1Qf*^<=(Xyds6imkmzlKm%vy6@(IX;4x?b_Ft3}RKipmM-QJz2Ivca8Yj9wVOK5xbN=3RGZKu5MkGJm+gDZL~Jmyn(;a?zG`lP-vNPsw;Bw+NgyM_LtG!I~(+A*=UwjBUM6o z+%4L3!(pin`i(W;c40CzH$l@mXLP}@W%=HmZfk9 z96ZZ}7q}klq3a7j(>!SSOB5=#PNKH*@mdyVDP>jKJn(d6^F-gX)VG){swUOsc?5kV zhq>>}75eICU1J9sZi6M(CiEhzo{Q$MY`sEiyBqy&`2^m3|FsiX@&VvY4378u>TC(n zdCkBWTi!SA8!V6nVb%hJ(Bbsn`2L0S|v^PtmvKKl$6MdLtC(|aStfp?mH^f4Q1PlQIB*?#);kcP- zgmH}lM#ekvhl@DfSDT{BBvinKdp~oLih4EDH(~?Z8&$W+i|wXr?|pnJ5MqsYbt(yD zMqd)r+!BScjtEg3Y^upfpf9;ZS7o>9C8edcD_QGDoffWJM(5Rmawed(-yl8*@CWuz zpu|`bHPZ6MNZOyn;c)8N42ZxA82}4PJkh&ANQzw(ib*)BulgGLu{=rCUgWRK@J-HX z;hE;go1Ny>cYpSGdbwvZQC9vVgt?2GP36a{;we|zO>-w;+0nPA0Ic@>%Vg+%m^4QR zi`I|Yplu%-0&K)N6b*D*0s5S7?1UWBJI}#XbR9dT54ttE^@?7LO`~|B# zDV92xC1}{A4ps7>=A(!EC_7a^Vz?&j{`OJXG2|g{$VMV57+39{Y7C*VJ&z1=vdzm` zYyYAH?Z(E5RK6o&OSV)sQVfn%+-n7-G|rv}hj*n?BLVd*ud32q-(oU=5@6_q8%srK zQVTKj7XFyQHLXjqM7I_0by@wPSGE`YoaO#Htyn(tR`l^{p^9fape9pBG=pPC!`t!L z^GZFFe|AGpesyHD^{m1)KU*OiV{Z(XUWMl${avTxhdw&=mFAPs-k1wL_#_%2~roe1R9c50rm!QtIU?QCc zGuG%@k4_l7nFvjfM${M$KgCuBuMZ@X2JmWYQ!T*p$8FIAW1EoxVT>Jw%ynf7kn@R6 zE!<0MsxraImW|-93o(Q3!f7)L{7WD#%B|;-f6w(D87U-4tgcmnR@1gW?)bzyK5B=4 zg@hH36`825ushN07@o1Vo5>Nf4Y-?aK=uvMb&LEU5d zVC8G~p><(*nbq)MWF<_(4_d5lU1A2G6Gg~J8oXf>j6sH%!s(n-d*dQD_=|vVR?ZO7 z=aq9|g8_7^krCe_D?5l`>^BO}^`!DX1{!r%87N8Nrj>l}Ef_muoF@Z+K4+svvE zo5vT(xR2ZY-ANv#TRSN9IeYAflk!GDb<8I8Ej4JtIpO9IYLFK?gkE&(0DOFYYS25_ zz>V{5Dk>^ovW^hfz?NRD@JlghDSpc`jQ*~bHlsoBxQN5;Mp9fZhh5|vtI)jK7jB6r zuJTRbl{vddP#8^3N`k213NIsZ{ip+usiZcRy40Yx*kXQ1mTdMnhc#h^)i%3*!VA$% zsnpDb0V|D!YGk|mJ8r9wegRvO!4XgCX7PDsnsU60deO*KjO}q(@5PBV>AZ%z1_b?j|x=s;1D- z(komd8o?i&sHAGJs-rM?Or#*(PqXC&)^jk>LXS%>8uRk{+Q)^PwTIy84=ADGG2ZL` z*z%Z>MtgUetHcmSqLW}c!+yLMzBY$AYVd+qY~%F3$hwioR42%8y&cOCe~*0s^Aw%l z|2*LG7Hm=Akog)-H`jD1-hLKS5ydjSry(ruKI89Jik5#5LJPsAZb%~`@7%!t0C?R0 zjT5^E#yHc9!QUwXG{2leC3F67@ZSHo|L;Hi<$svYH1@ydxYQsa)QAJx%+4D-^uH3J z|3gI|8gf#(_d4&`d#Skvldi?MFcP~+^xs(TBp#RhOyoi&^k`uBcw-}qraqDHW`LNV zFjRzVh|OkSKk6o=J98v9Sl`x>ixXN$hWYhH<8FZW@DoYz7l2NCJM1=t!JvY9=TBa$ z7iMyU%u#DUXnsLA6owY2U;HtoWnI9JNavOfU4AnIx;lSq);em0RCgme&zds9@@^At zXnMzd)~=`gpZ!CrLe^6_eagAy0mZr_t?nysev%9lvxJ&Ekd}Sey&cd?IYp$HH^5BS zv&@+CM0*(PYiX_t1?_%Yn0XuatOD*$u~xs_>!G5Cd>B|42e~j)BrV7=iMz*3>wy<^s}Moipv~z0B_5Ul%D`eqh|;^kC9%Om@HamZ?P$ zpM4woCS&JnpEdJ0VApgB%txj;v2DSfE-8Az^YDC_v|K44sG^bq!pxCHyf49v0X8YM zaf7+sbpn`^{Ud0j;Of*K{SLI^!kGDgBk`&SD8$%jakWkJ6NkH2JKVlNzVH~_0%T(<;Lg^^~4X4h3?Aq_cedONA+3(b&_B39bti3 zb|a2yd4znE#hbVv&o&<^=iWOu=|#5%lf6iN2>^BDDFL*bevS9DpF2grMQIz3O)Jt5 z`-Oomt=+ykOhvg4$rsb|gA||5AkS{ynci|?I>YEKfET5tlQ#kPfb6MK`$vqX}ckhZ@ z$U)*B(7Qs?>&b8~05!WBmNfpAb7=X5v!AXgi|E-V_?f1bF?MPd@{d14G6%x%=FiNU zbz;j~-FRnR4t)sUK{x;0MJ1u%qM2$qJ=`VrXQwtGAEIRShW!7Io4= z_`gL?T3||p`$FVym%M{^j&CQIyQbq*qzn$4(b&^%fNzuN|O!lGNF5 z!MNs1s6yl?kc4@I$|4f=s?8scm!H}LlO!I!QUX5vUy=-G=Du%#6Bex>8VK(NgQWL5 zoTGh>T)jpCo8ARXldTr3qxOtaJ%CVGO4on3m^SxxmVbi+t%2D%R~xyA^*yppD}aY(<*Ft6qHDC?18TdB1NduY~n)o?s7AlzDYFBB+#XDRIo)nd~Q$>ia{6v=$XixQyb>UIkq*g@IY)Y(9@j2nXPeWb#x7u$)BG zXJRwaDmVi(u0uO^4$YYut?IOLRXX_8TqHH9Me9o*G5Vq+?I}UZ`1PYAe0t!2aycqX zA?7`{h<1eK7>nUv;$SD+@!eipqm#x=#!ESRX$AE??V|<@73>3!YO#>+z7tJPp#DT7 zW8i4&XLUmPIZYNrlbMgFU3wEg&aSj;6prENy<3Kf(2lM|-?==}@|mUg3O;*dVN zvX2y3-PwO5Ak*?jp(tjF#=nPrNUb~DV>d`0?gObYcL9<6 z?YEt%u^OHvOee~{1PNX28GGy_=N>}PEmUy0O_P8b@xPwW)2GXfMPtunTJ3r?m-kM3 z9YEG>pag&$P+_&I0=TN%ALRDcpClY6qf%b(Lwt|y=e0|0f0zu^RtdoRB6o-z^hiJ& z%WUFxiiI#}2?KQ$`=92g5dc(Xqb`k5$;+`3r%=+2)i+VPnt~UVGlzC-5tgKuiFv&+ zTlu(x*JWMK3>y}N>Kz#+$&*1QP}xH!LDuWv2uy|tjOq2cFiPn>bm?`#gvW_bY}m16 zkYY0|M!K#$N9lBp4m;fC1?0or5$P~yQ)MPdxL`*W$|7|}^%De+CBSX%OE3M3&^tl7d$~gv3HpU^jb%ueskjq>qqqL64a@koJdj_xn4p&FJ|-cVZu6-|(c!DP=I*3vI`}-jm`Q}KM{a4c zZdfr*__dZ>!^6W)Peq^WQbQXZ3VYO3>o+^alH*_p7rmP2|kx zc2lYbeG|n2LJLQrmwmE1gq6RZRx&M+=ksJIbd{_7(Y6?e&HjepN!t^8T6@4L#8udx zWE1;RLi;4cpuo1!C1R;Hs=LE{bItsb<-J0s7#;*PstH(_$G}fAs9tT)-Xr&;) z`1;ytfueRF93tP@Eh|2Ngi*qU!=b&>)O(FqHg!)&JXMaDQlmXUifa<|WlwZC`W@OX zepFH^Jdkxna!P`%qxSXKS({d5s7^j9kQT7MkeA;u55a8Q=-*)Eg zKnn6!1cLsIj}B1#R+x}@%B$XbMZfIO4!s?dUrnZnLBn?UrjFTq^ufrEYNO*{-Vwk3-)@5hSM6&T|zcAUb$b z@0K)$A_Be~*GSjpL5u7~Sp@ynOueuX4qyc)r%UBbY#DOraNNm+#qrg*tcPsYN&3M+ zG7uNE(Q-dgK=oYl6P!rm4dPP9XQx_SzYR~~bXmWG0}Q(IXlWN(e{J+(EMA(w}X33#pXAP>l#qu>Nq>kH`;8k`k3m1I+*M412HrY;pB0VC7h0i$8?bYfa*fX3>Y5#cniOW>mntqRS$O2B z9bhubF~$J-SdT%I^^CzdbPPEeo66`TRmGsc0RWv3cGG4i1H{E~0c`pcEr@w^K!c>W zDuticn7)uHus)EkqiMlX1*r;zC&GOvMO7O1q`>H1(dMX48x!Cm)z*ZEnanB|(dco| zYvo^E%lEZmk+^g*?dz?7BlnJKG*;NsjTeyek1i|vf}Fac(qR^nyF+sKAL%^b2CBR? zLCn=#GfyFA6oZ!3*Yk;cQgj2HGdn~x_S&^%Yc7-=sH%UC%U>`#SM+h7<63pr(V>I{ zy>~#Th*Q*|M*w_V3mpSLRC>8Tv?mpy$lkr#N%_4`Qu)RB{g`qllhV>eQ!{#WCZV3> zSjo_!3J{lV^v%gy(}y*B)Kc95t89-!*1PmEhQ)d~&F9cg!bSCYj&y~*AKPd-<;tG8 z<7r1DNNsG1u_Y-%YVZOweL9Bg)e?{I?_$!*WS$a~BNMN`P z8s_C>sgVGUcg@h_IW!-T{@*2lmvxJ(seE(mYq(L0GWu9eKpspvwSH7=hgTY5jrkYf zXJp8zk&_o)?oS*((7mZJcEcX}A3)dDYYbDHk(F?kbF50pFNmxQ-fD0=e z;lA#Wxn#2^3LawFAjf_hnZF-^dqPu+YHBMCQb@Is6D8uwS&+0QtMn}gLx!Z>*fT{F z=4!{PrB>7Hltduwtx}*M>0*{&JtzoyEUc~0d>=3~F_rR2VbGou63*Qj_Q;(|p)~HN zlyWAsCO~%T0#a~9@>qc>5_*o99!QG^f{Vs%I0MOc9yJ{*C%-nNk4xxPsICLHWqN-A z+e6Q#QX}N`P<6dD!V{2OqY)wDdIsqAR-0{!)V5{OCy;ERE)p=$k`r{<6)dacS0sE& zi(1N&z`66_6vD%gwq$jz|-BW>7Bq=0+M81Fru~eujJ`dU)t)otxCq@t&lqqN`G*k)BoDQAcx>1$6#k4L0h$4K-$C@;)L!+<-u;(~5i>G>ftfD~MF;bf;k z-ct$kkC!kGu%eHx{VU5|)zpG%%DGYPTF{pJ@CQF_U@3$pMIlCS{TK3sXeO$Yz5~Wl zr?%Y+KYAo2*sLAOK@!4&N6rwU(zSxm^{+%TPeYX_X6QN$%vxSthJK)E!f(z3*1Efs zF+y#1RpZsPz|X6Kw6?kzN(UwE8nfOlu;eAC&fS-4Rs*9!T`BUcI{$*xrF1RUR{!K~ z4GxY?NnpQ!p!Q2xI~#k9Mr{XdyN{5V5uzj>zS~#^fBzfVS9#5K1!j_!zL9l-5H^qs z;cGd5L0YlC(`J}D$ge|u^ZG52A#K$OpxGjAVkWoDL3TIxp~kJc6u3@?cUR3iDCAak z^f*w?LtJ)!i0#p7pBSc>TJI}$ye2)HzH4sUgC;D)k!mtZxf_P$J;*m!#*b)qlcGmu z^kHZZJ)!;mltN6fwJm0=N{-9C`ax9ne1WG&jT8o>Cy49%kP{+r^kkoeD24Jdj2i!c z;)MSH3wQoMd^@efS?;-~5kbY}1_$N=l|rn5L+IZSxh#v7J@aG}D4C$1*b>k=qs@#h z(Y9eyhQ8C(&kX4=`qvJxd%7#6K|$!kEcCTWzOHQvFSGOrxBNuA*0HqK-WIR?8R(J9#1Rwe99;T7YSIpS0i31U_dtp#9fTtm(f@CQNf|QqID!4q-J2zkvRh7Ujh1HjC|rTJ4Q? zZAKGVpKPgqIop2F9`-MN7butEaE09I9gN>&?f@T_=nyJq)!cdh#|G^BvHgtDdY#`N z=(8H4FMzxPtF~y|*=4`nmFH-C1;6d1B=lE)wNeuXDYoQ!siTgN)z(=I(^GCBt=*AT zt3l3Ln2>6cmVf)8=QAg`=~sjHPqV~>*l5lG710#0cw{=@_i5jSeMEc@ALW5GVM)R% zK^38{noQgGrQr9b%#P;f(o11MxL#|D@)I`fMO!gxSIZWchexR8uNrDU-Ki_Sus?Wv zr5&}=ZA*&oRNVoaN+6nN@>?d;%AZ2&f41wu&pG~z=Gn3A4;b-w%BNm&8z5kH6a;tv-J(8@_spX52ZzX$f)WyWyWO7-&+2B6fM>lW{P&9!NLG%8T z!BP8s3d~*bDnec3rEzc!oJrDVn$1K9seR;;Az+k9MUMRG~{6^-vaY zCH)xcNCYC}E!6;%z~?zECOBafFdKu_!2HcW+BcJ+K{KXeI`JImyrZ@SYuRIKoUYWl zw*(wLxY$FBR5n5eGm3$2X^i~+EM6%tMR5YSqBdLpSg`heau5YC(U;<{k z)a*`$vfpdG$>^|&qXcLbm=3wsZ~SGo1-po4$kW-b;bmkDBZGmn$P9beHN-l7yI6c5 z`$^rJU<6x}C(zuE&9JHm>0ykBy5OSGXU;(gy_llxYhe*T6^+V25=$x^5NViVUTGW$ zL}Tio&Z^||KE21^J&EocFfMKDof3sDrGCER(+*ww*`$S|cZYU`-O**pAm2$ClBvPw z^5;rS%Jnaw>cHshm>$@_k<*weU;0LEjVU!YCKl1oZySG!dD%21mRwE#8~I-JKH*Ou z>e&@N$~1sQlJprO&nE?wdUR#-%SuJ3AOxh$!l!@Sw?UmP2iZf7#0Pp?GxlyIcS4aa z>1SdMTK4-`B}P}V$26Xr`O|0psKkLq84&A~1PT(jf*;&aRNirYE^XXzLKaS@Vcggx zxPn*%C&Im}f z;ZeX-UyOuL+eSJ{EGwGd$E+6c#F3p5^u%suiOi|UG#js3qt5H$_ftF;&s=H+^Rm^><9rggUTqksxR&o zee~qoKmq*WYBk0s&+kP#beK}1!q>rqFB-L>{I^H=M!Y8+$jINZC;Z|-J+nd6tptdh z7SYUY_aS$^ndF`9R9y$@-AEK1E^oX0F~re1ybl@4+%j5ip%_${Y5i$7^FV z_>7wLW+fTUOieVQk?Y-tE*Ulohu?Z8P2zil>2D!kxYzaD)QH)(-O0aX%7&twe9#ep z(YWm|?>_E4eScqt5}?4zwB~Mg($WM0zU!8-KSD*f@e~$eO;t)x(fF6`e+e9_0nCDP zqgxW%+5h6yc5@5hHj>p6uC!#Y%c|q;z%5Iw|M}uWRF#R6LNZ~nXq+yM+Cs`5CJ?SV zt&w^rHQ0+hPOq7a>KdPbu7KJpBy#spxXPqvX|~6*PP!p>r@Ywa9r8HkFm%;^%-v%U zlbb2Axfjbt2aVguPP>7pl3exBkhL7dvBW74pYe1`{o26Kf>e<6CQ~@<+`@t2Q-Q0( z6hTjZ*fQ&a@E16|6>SDDc;N48%66`{m!u>*mZfJ_CrV3ah-U6d;@7t7@GiPUYzCE6t$dvexBH<)#(Qp-$9AAnih#S3mSnpXX4kK71L9Wxv)z>6{YWoAEe zj6LBj8q^HNT~-u0&7FzXvhzs7s-H@Iv-`fVi#sD8Nwj)}^`Mj9eMj7q@6$d%Yt58P zLFMJ%-Ni7cIZIy)x*4RF3+-aECdL;n5V(JftQ!7AfA8c(+}cBTqzQhfnDO@ws&@?# z*uTm5+t_omCC7gm!`Zz z(bqnmJ-2hUYWYmOQomD&GK#q>nfM5D^P|UUO_XVCGWdC7(w>BuyWT^Nt>k1ko;2Td zI;nNw1At?l#(Kqs<8H>OXuX6h3l15_rf2#_oQ<6AR0m&xIm?VjxmWzfbVpPkbCb)g z1NQ3M=N|4soiaOeEd%B}#}#s03S+xBzarWqs49m5>}W55mdeBWf*Cn;sx4`GF$|Mg z8lvuBcDSc?^gdy8VD;Is+D+*IN;+;-*kUfKGQ%}FNJ;l*X>aj)N)Y0iXm5U;vg1c2 z!gQKin~EJ~IBozyiIUicGkaYam+sQLzVylcz-SNm)H}$%wCHT#rtHRSR8!qeRKTck zc-%R}I-6fazQTSd-$_(9ocG}1hoaG&8GACr&ou%MQYx{D(GjhL2Tb^gnQ{4dv%>xm znjJd#{zEA+=5}=2h`GAdIy9dkz?)I9j<1wul6v;I={}uMX1>VhA7h~87ZPke8aPx1 zWWT$6O<}n1MHJS1kE9u;JOF^!1U3N#?{GNP)2eLIN2yf*FOgI}ciyAkHJ*3Npcal~ z5m71l6VZg6zRC8pFk1jYHKv$qwCu`3zOS?6w*B+(!H7`rupps-A^103gXX>-O|X}S zQdN-L$O)?kc#`AmhYPu6JP<@5l6C>pO#p)4YYr!Ewi1UY*Cs)fjAZ3Y!;-g=eh(1usO6f> zAY|XSYX925-uAw=FKH`-17NBy6p9cZAdIdDZGZmN%+PC8<9zrZNLQdHS%p(fKkQi< zE_*j{-xJ27f#S7N_h`y_Dqb3!dbocTAezxYG(72@lr8gO3IuZb#kBhqe*5{C!ksY7 z;7eE%a7m#hR5Vf15~F*|>2B}`1BS%Mp{kMDqFMVcc_{&U`R27@Pyy_+m(RWaMvmZi zZin8%f@YoPlfp}w!2c}v^l?i3?PwWM(%nXzzS2&q0Fm1X?mz+1g>DH=+&*TP9T;Yi zqh-ZATXpEr;q~r*ZJKFsxzV`fsKnxNFaq%%ffHz{f1A*E8k*r1qG6Ali6t17dLNYo z1*?S&9v@YmF&WK1rJm71Ejcr|8?Gq>k*hdC@b}2l_r?7oYP?RHnvwv3%=^4r3#OM| zMc3M~4~oV<$5SPQTn?&gaviLh6UdL}88JEF9MWsian@a#o<|Fl@&Fb9mBW z&oiqvl=mekR&n-=Z@Q_Zd`7O}fx9ibn9;P*b*V$F+v9hWp)YhO#lk!ww+X{BBVGf~ zvU`AD?A>l|i{4ZImlP%UQrJBdn!k#i1Q|hNyL=4^tMs!e=M|$2Qr=pFgR_|CrhrzO zjKM9fu&LfX5ru5l^7q-OOH~On1&Bedy8K~>DmTxe=u|pv2_pBXz!OLitL5gGGteI8 zDQb-d91yjfSS%3eY(EHp5KS-d<76ADdt|D)8Hr6Q z`%&VPm=Pu3m}McuT||>t^a@p&v6`}Xgm_7=aw3mjK)k#;M&TyH*jNs=lvvVwXbbH~ zZnCnS!jOcEi9>RCFrd%aW9Y8kwH#u%qlV6`1krr@HxZXumrw~)(2@cS_>+xh61DF} zIQK3mk75%O%79VI!CBrIFs&xsLk~0SR)Iv zQ*NEC&HkZtoDS78o{$3OF+mF5G9{EfYc+a!VS5WEkD!=*+oYEg@sG(f&1 zKa+lTw8QIQ%0k+VVgPlRX$p?K=s`WCD=*g5wxYc_S*|CR4_SrDlWF6^E!0#WNMvG3 z6zCUge=m!X0uKqZ0gO8CX5Sn1u!F!srod}2?Q~g;SAyM1$K~|0>D<>=5+p^elo1K) z{YO^Dt7wcV2uR%?ukf(5Xp~zBiF)Ka%GeVhU#q>RgZ!4ETgTMxrAhy#9HN+l1gn3W zllnQXIInOMp_f3GQP@o+IRpp@QdeFNK1FF9%8pVc{u$`KzASi{3QLFyJGa;>`5rl4 zFdb0WQcZ_t-7>quY-M{sAwGNg4qfN2);@->D1*}Ms)7`DU32kkFrqCY#yvN{Jvf+N zve9UZW-N3Kx8tf2hWy>YUfN*LWN{2;+^Wh~BTh4<;oodW%}4)kc)u9=cVf6xnT0mPPJu9CitvgKPAW*`!}PWz6jux$ko)5-2^4lUML8YwI|m9XiM(h3 zgSj`2YvO$Wg(sk*){0hJS4b^Zs2d_y)?~2OQd=e1)~c-#D=Jozh$u)xGO@PeLWxQh z5lmvW#+8Vu>=|0rhzP+(jmQ!;KnM{6SqMpH#&f0p{r}JNygBF1bI#}VO-Kj!tV|r3vFIeljk+Foh!T}98@-cMa<&dMwtxE=DZZi~TDw>AZe{@=J=XKu9 zvrkx=QLu_L{4V5EqATZ=EtP}5%?-$o=$*gbc=cl0#INdIMir_mb49<*(NiC`VPJW^ z@x2WEZ#ayW-8%e{9MxwX4W{z$stC|W%W{R}b_=#42cCSl<#t&a@8UI3Icm_qYJV%E z57#}_5R&-R+rmY+etd_1b6}!kho*0f4cd|O1WyL9#{}Y$uHDkNre=yhu5WH86>~0a z{;BcDvxNcxD)5<41|_v$11nw}YO5JT`{2*iK}p-$3d@cS7KJiJPgd+jb$@HfNffFm z=QOzmfsf3||GlhvkLy1E7@jM(6&hZcx-nN}CK{I^TiW6x?)pE^yhvPBD7~Ih^^B@< zPyn34I_+Aq*bzJG!<@e+?tK_yww;P!>E%4K7kwmn5I$k^P{M7mX;E`-T`OpopWJ+M zU8X}y-hDi7Z412Cprvaq9UiuIbMp))$cA7tZUbjV^($}Gq}!oJ1Z@C@21Qm+1|ns+P-9gu)fTE54fe+MoKcFv->>3~0ak zp=svvmh)_dMFzAfrt#_HF{wlL8bCIdHviya<&D8B0Ff|=>DphJs59Jn3Og|N#h8zd zRGv?1y*n2-jQd9k;i3yA$hX)=Y7s5+*F_P5^T*XsyrI(nxoAo$sT5SDt758I{leJe zA!|9zy;ZoaX~`nGVH_B`asWe_Q0ID#1wMczZNkb$tz9oDrc%tZNwv!g->PmLxUjZ)LmrFw`+Do>x!4!Yib;h%*?I?y-hn{PliD& zzrnUWd7^_1BT9@G?J|*1~d-3RN095x6wrwker;a(v<4SAk8ggwmDOQ8AOgA zbg}AX)JWLB^BB|_{KZ=3BgMHPx2ATmOa+{tJ6r+Y8|$ffMN*M+R%dH^uLS&idJvX# zyNaERL&*gg?8mi_ULCEQl#JshrB5}l13L0vb=BdJIl%2=tQadT1fsTa7880F)Lv_E z)Z65%A7)~6;At?=ko$f4r!!`lH23U?auK-)P^R{d^iIjD~%*h zVTLTgIxaCN2O!A9Qv$&%BXB zRTGiL5Qx^GiN0qlT@*inmhLyF&fgT~|ftv2I3X;%Ma1 zziy8&-XO)IHmuvE%Hc}XAZf6Uf$pIMWki8*a|@I++Fc>!BSr=Ra?96=odLALp1wMO zE-E>XsikV4lKUIp9&un&x(GYbiFH8uiQGY7`Xnk~dGRdlqfWEsPOW`9iG-;xm{Ngo zd)KYsq|&JY)0|Dzc%+oTWEs`Sj2iR+fTu%2h1shy)=TMI@`}rp3Hc$PhFo&Gnkv%>`e1{B*n(}u*geyZ4Z7|j} zMrVrF`(`7{U8UIkt$zRx$7E0!Qj={nPa`~!%YDI}xoVMLcNltMxhnZf;rP1h=>q!$ zRCG*@Pl31S3pd#UsF2^$p6W&(mC$0XMZPpM?{_TE)P}%>MN+F(1F?M_=toKB_$stH zTwb~kNR;n-zW(_$a3{~W09dsnSW2tFZFp5vkUd)5QRUxS%cVIJhUT@rVXLOR`W_A&tK9xZn7$0Q{+A$bvuOkzp@R zkZ&Vjq@O!qFzQHylYb6EkwkvO9Hi=(T)KrNp{nERBz#? zOgRu$p%!P$irLB$LZ87yx0m`lGUb7Ge}ncmriurR#S(=BHRR=X3=-k{jE}1O1>Yeh zi|}$*AXRV|7PVYsw7!;(zPx7WL%qFPW@g;IFsTJimxlpES{?m%N$c}37XaXhB$6K=_Jo(=O;!wuIt%-~r$zZ4+vKjXPcBac7-s7PBjsm-p+j(Hm#%?) z9sjAeoNgYl!Je~KoJNjqN@umN>=GF3>~=bt96{d#z~yBe$%EW_OXkr9DS&eE_ct_R zV~$0={o{m=S8UsLn8NkbDBfY@V2MJ2*`OlO<0SuwEZHUH`hlqT5)v(EW^-_a-2>grIP7P`A%9&^;1X{oJ_^ zP4qsT2WM`Ua|jKjN(I$xklR9K=mp_|1Sr{-#VR2ANwu{+xl) z`uG+i>RsJ2ZO}b&Qn`79Q56X*#t`Lw_)`bPn(6qOa!!DGJVYK1{Z#DmvNaAYGZLRY z26NLgCc$;^D37SQV81B{^V2`r&-@0;;1;c0j3ar0!BQV^1bjTbI2x#TUxKw~J2cKh zKb2Tv`&@fGpq0O9+v>5k<8)G;3nVlEFa;)rvJP}?HWEDZ5_R1XeV@rH#FP>uT@BdB z&fGLd2-Oo%m46m3v$%Ona(Z5QqafB}`Ha1pstB|KOwhoMOHsI|*97>baV4J^7D4lY zg8Ac%HAN|o{mx84KPv8#D$^1;$K5q5yQOEV$H_vNo#D<)0x=n30bFnwi5+s=7A zxM}`?kB%KNvxKh_vll~MJnsS_V&5_I55fe$lCUg?QdcW6kUZ|Dom*+E<9s4Pg<59? z-NYDfVbicm!KX)np6#ACX(grcXM!4#@L6Qf^7kQ;ZpZXGxx9hEO+{(KkJ$@9`Ra$R z{GEH1oqKkr5atM=32Yp||*m!X_d+Se9&oPM%<(G?r~h zat9waD4k7}^@>BKp6P^zI18!DfvvP_7L}_J?dp#9b zqh!Ha2QJsq3)WvB#&bwWopKl@l6%4#agtUGrs9~mS;o{nDf8Gl~ z*t*b&rN#h)q@4U-SW1Hx$hUKDfxw}KS~s?ki_Nb}YkV6)GkJ7?uq{RP&m_{& z4a2vj?E-l;m;}YSTMZdHf)$_f9r6zqV70TK%XRSv8ke|g#%@`S1*==2ZC!*0t^l~D z_iur%AAH139dg=W*QR?}Kq926fo7FWxiMk{Qrsyy$+9h_czb${ zN(-1_Aitb<5b(1VM#+HAnGOAhl&DcNR$l59dlSX_0fWS-HGzusx?zW3o4p}#t^dIm z$;H@i{i<3=0UX(J(2B!3@#3M_5m%C;qR4It3WG!d?OWLF@biNV=kCcy)fdRI?-OLI z&Sez;5Rvj2#<{ah4nx;n5|l1lxc~-UOn(|siK(#qY}W<>tjah*Y&@>=)~-o<11KUJ&b*?3Vsq@jHRZG*|d5kuh4-Gy$zJzz9Kg zR&{$p&6v$Cr4KQ+#j4UfVm(S`bS;7|?CuDXOC1pUan1c_k^KXsYAC6>f;Z72Bx zlK~K(v7V22n%~vcn~Pyf>b0^9Tanh|f<9EOMVG=j;yZ)`&IrwS0LSJxSv3Vxs8Jut z@Hfb0UrEQNJ;3Lle5E|=gGd`-4-V|r8?6&*n=e>d^Vh=*r?+B4V-GqPP!w0-#+|sV z%ye&WBM4EZ{R|-Khz2sqdcTIAvr{_qTDAIN=))=-sSMLuZPZ~zMarJiEgFLeT-L&4 z(rx5Rg9ww$lPLdL!U-_eme{Zg3m>H?HF=mY*JdjfsOneha;!9ZtJaJ`fhgwc3hAmn z$jXJU+d5DEVbU*i?@8*X;GxaJX}9RuNePKrG?3wgXq&;6+x1CDJ>7YAk8@Df>DUzO zkpX^8q91X3JgWMNI~rk9D%)3LK2NaU%&DEcVMK+D`b6a%XfdN%mOm%b=H3XA7ib#c z)FF9=SmA`j$ghfY_#M7J!7W39UPC@@kjS7ayCHX2l@AfSLo2DjueZF|txUB_hqI58 zuvX)-pq-%vYx;me<9`_0zWehI%U*)(N-^eKGXXUB?9rHV^7Td(q^QLamDq@o_~1?w#}Mf?BS zwv4>^FZViiu|OiB9^iU4G${XJH~%k?g8$no+q;U~SM>0IeMM>D@E1V4`5%)oTKMh9 znP?NwwOh%;)QgatNH=BggE$Nd2pmuh{?eEDFH67)H$@%i^!3&(F=o&o4K_&XA4ScN zp1QK+A$xW_mEIRgP<*n|ir%4}9jgS`!=iYMybif)VK1330L%L1@gd65mT~kM zXg7r&gC4l#PO8$85cS?7(!O9N$JGq9tGJK#$F`%*kOVmSx&ft6w`c0Zsa7b zdU9kEkzWO69_%%cY`hksCr*Nn!;`DpZ9H_od9EXVMgLM@Vn@2JxQYbo(n!)PIb$~M z+S_;Q+0CSQO7giQ_VAH@(!kXnET7z0UgV>;dl&UU@sXl@$iaFtwkN%nhS&)bH40 zUr1gsz8=4<3-tc$v7!EQe==aLuD89}>0MFtZWpIGo^dlJqZDGPvT(tlfIbc^XmXz25cu_|ie|*-tV5Mp7x!+h5R2xj$Bm&fY~+x;!G^|Zlzq#ovDW7(YglY z>o!0zf#FUJw!#i$YY1{{lnx@uF+U>FZ|AUx77Z|fK%y696~ZC}=-)!R9ev6j)QM`- zsRqNnl&H~Ho?#NXUkmO#Bt74@W+gZBa=G=N^>B`8sOEKd~pW7IGmmwthzsBX~$YfXu$ll;lwl zw0aF1Kr60Bze93iKv5LWmgBN^qv;=~PH~jVJN4;q`-Ty7 zP-i0rFX1Y>=*IQ!8dT`doUVu0-w$fZ0cty0l zgzIf|GOZDmT|hpCzt-cc!ivwznQMp}rXH5g>dd)Gqp$f~r(#01kqE+G^M9kwj4O!X zrouI&FCr-{rZ;M2Llr8c>s$62)#`~zl`PLcULtc4+|06iWWF}y^HAJ(g zDgk_->^$AzXaio5 zM$Kv;0x@sMzZjzU)cdwDXdM6XEz4c{GgUYnDy`~&fCfaMa2tKJ~6ERO}ye7L_#^kh4#iquU+DtC$|_liQP$P}Zg zlJa~mocs_9U7LmUl3gMLJU-i42^OHLB4*(RGls6vjX~OST;veLO|kcW?DYLYI4zxk zbpXpw?gRB-%XRc%k95qA0&Trv2%ddAehr!b&jKGP@i&FQv!<#;^-gS-^sRY|?=G2& zX*lp-U3GC|(}>_?cKfoqt5V*>j_S`&2A^O?F!2q|gB&EVGXM>^RQy+T;LSEPk6B%8 zY;$LEL}NLL`huwBE#$50kSdO7A*wV$QhGZ>Ix6y>vGf5LdF8O^L*3NgUh!2LSMya> zN&4}|uC>2Iwt2}Dg{I%TbXn;{+LPK>j-R6Pjyj5$1s1q+DUpld%S$Ig{JY9p8ucDi z`MWWl!`aaZZXu3L2bKc+<9EA}+B>;s5$#*kpW#2#e_Y%Zab^4R&t_$v*ZuwM`;SKS zBh0UR?>7c`=2YD(|3%w7u70~q4OweWc#5_^bRuocmw5Wg%@8760neD|(q?^!oDLu~ zX8WB;xy?;oZA~{lPAq*4^odUPv5sSzXEoXj^LV8`)2bM=MQ@gJJ;$Bx=oOst2_ zVRYwgR14Jt*W&I?EkjO592(zWINecpq;&m}_`)$<5TXdYUzA|kcoKE~P*}qgOX_{g zpp|!=sgnFt0GE5=JNd-`ZOGe}c_45RrGMbG5vcQ7SX>wQWMkw2-JI4?; z@64`PA?c}lL|vH9OQiEe4b?$F0$;1PD`K`-GEFlDpvgeDFx$oC=Tfglys4adon|P{ za_`PULTOJ8N_~j_~%eiZN`24-_N_~vE-~~Lz zTQ!q24qS=otvZKji_`lRvQb{=Qc*#oOpq7VzaKm7(XG-(n6KXU)yWkL_+^Gh!G;m{ z`+pA`)g_tpz?ZYi3JdEg^UPLSZqjb;sj9jJOUZlDWF@W9yA;g{pcQ;sLWtL#m~@8X zI-R^RO~aZRj{N56G%MXCUADtU#ks(Rd0F)bj#-fY#A&JOh;(Zm=ww9Ad4pj3Bk$D1 zY=){=KO0bI$0B&(ndt{VBsFI!eBcd|K#w6q0b4YIuUd#YdnHD2IF>+PMe%LSW)NXB z`Sa?uKWIS*Zki4oEm*VBy;X<^KL5s^i98o06?0 zm@+f~xe5p3LCUCgN(_z-$w+#m1px5NG!xPYuE^El`{FQ?nYBf`;LC|iTcFomvkH`u zi@^#w1(FC+wqsQW#X1ka^0N}&(}Z*RXWyA9q8m3`E?71gOxs%=iTL^j!*<<>s7iz6 zEHY9O(IQE%N>RRy8h^ix>{uS?EJ9Vd0G*9&dm!GuYx!7^$`CWPdaWdRE3JK-!1R#S zUg%)9;iHkJ618bQ8@_dm1w8XEV#ZgPjP;Q6S?hW65#figzFqpnH;x(T*fAI1?24v5 z-eGE;PRr4Wo=fYmKLY2pl8oz)>r2P}0f1FVo#$6Q-^s&-y4iqZ-q!N>4ra7#_0_Lx z<^q$U{gro#?OqZiMV;NBWlXDDo9y-edsoFX0VmVju736FD( z)1T$KO`6aetYojRJY{SkH9G z_u2#dT#)pmLgM;XkF^g1`(PhmttmJ^WcHToye^R=T{mfyTAO`AbyeR_2AhQuY4;lI z{FJ6@R0SO!a45Z3sjhE66iih@$ncM}f$lT@r^K-xPEbr zGUG4drw=Q!4Btq#Btov!_>v=d0d7l_|F?h}a>Onm6l-vYzm)(=cbz?22O{b%=c3&> z-8?c4Yvc_AjeTspXt5dNIR)$W7QJ>NZ7TT&X_NKg@*eDzv&nO#o7AwxA*yy@-H}bS zSs1^w=mVVvUW;we6y@oqI)y$FWYTLA2S`u>+r6T|7j+mVt{+rvCBA}Z1{ZNH%Z3{( z1fE6F7F806fUjffPm9;c`$F|iz#uK3EFJ#*{{2t%^$^qp=tlgGFOQdc8d-;06HQgx zPL-`T6*S|=2hyvaW!^s&>>ZDRwxc=}avR9e;p9U_RD^n{BEa(vAOwCFdIv3(1oo9s zGO#Xb`vutG>7azt$&bwO()Ai_(4QY}i7at}0X!sZ^=lVyaPDs0iN#c%Mh+Eh^uLdJ zTZlR|CLIaOr7|vHdq9sU?^XFU;S@r^v69TeaCZ{-4dPusG!@x;^h$s+5r25hS8tAiw+zdWhHt?Gy`F;1g^d+F^9WdY(7|;8kbq zN+2(5y^K*_T5T6#8P;=CTYO~`k-ORxHI_}iy}cxw)m`3ze6i^>%(1<53KrO8b!P9; zFQSd^#a8wHsp>}8^QX-czIy-?vCW-ny)6c!B?m}6UXJ_~V0Z+Do0_ny!lc94<$qyd zq>-H%YI0!Xzz%#e0Rh&Gc8bvfZ8AXUW-SgN+z=d<0+VM_yODdCBo{ir6)7Ml$VZ1x zBax-KiFMRXN`IZ?Ni0u=zORobInX^5*=&w!jAX$67g%HVQoLKpXMPYR4ml(bcateY z;G>&~wZhUEB6+_+g_Q(+Va_%UcFZg@tow@F6|KE)uP&_s&t;L-U|PbLCHm5j)? z^*R8F#=)RPM}$G-u)$#zJ8X+1vbxZLn>E=aO0IPdfHESS%9r4;$2diLkg@ShR_;|6 zP=e~c^!D}C6sgy2Ii$QjlvsyP(S30vjr z`X9vGEKw)qHa%9Qy_)ZK7TU&t1c_`oa%{CWlh+9)SmXdOBsMH&1RyNv)fb3Rx!F_F z*^?n1QIvk37X~XO4(?Y~3Qj1Wr3v7e0i~I_`;H|2bG*kjvN$oQpXoI6-pXHHcw1^V ztY)RTkD=5Zi}Ff$f(y>*^~Ktspa-6(ZQVul)fqsV^KwgwrPrVx0B9p@7kF8y6FHiB zh82HmvcYuHHb`9tQ=R|T9Q3Jn+o}IYj`052$*hVU*3jmhfaRw`} zI!guq?4o=pPfXCC#uSeHoE2fFIZwy z26GlL)$r!pM(KT0U)M}sbu-}TavaF~%oWXlnkbCiO{=DxF7QNc%b+RtgL#9Cp)?J3 zSZoFd0QPuwRRwkPXP#t-uXijY3+!IK>nhRjO~nGA1>B3nyQyaLa{jh~)UsREdw%>2Tsb4jNz=zM2NWH(qFiu$m>vCb@l zq{HE2IDvf4>rkBVDR86Bw1WysHJqDVCRTMCHHFuk7JkvNNSq2IAte zv(4>{t1>$%9d%!4G49X}Y`v@)h>A(kmpPy2v~S;f){IA`t7Bzq4#0@ z=lV8TQ4d9zvfF7<%iEB9+b@YZx0iq18o%SJxz^jsaz>8hm-%CZ`>?DR4TaD;7xtDGHaR)=s-!v~S5A>>%xmxJrN%&GcUh@gJ(iZs|c9_re{ z5Z0KFx}xW`-gpkWdbjC*3sUzeogY5+!q{LDIwJG%?bJw^5I_r6jGC4AZxQHH(S_ki z;?09c;eO8J+ZH+$yJ5A!_`CAExDA+$4^qOzGv;4_i7>di2cp#X&#Cu*?`c{qvC`Q} zuiu4VQy;eAbZT6|X09@Po>i7G&lboDPTbzYR6i@gs#*M!f??L@MQ= zJ`?(sGf<=GIvFm;VlpPes5sGa4+Gt|MaU7$ph+vimQn1y0VI;c($zr=uG1-iN_#3> z(kG}AFd*1oVZ4njNK*DeHvnv2Wel(+15$>PZdMvp@|U7o@-&iJZ~|&Itiz%SQ~I8Y z9YOw;m6#7xL8l&vVeP0cI`C)Ggzx?v62b&d2X-LXDWGRTO>`ZGWsIyRfr*|!V!7wbOP7Rs3Q{d~m zNNXq_#GDQ?e6Uv&as4eM1P(H{Fy%~+WYcj>)Dxs`rNek56Nh?7cN2K^op2o12ZE3! zT?60+1|F;|>9^VqlKZ8s>KYJh;L*vg1b)ApUu?bq9Ffe5O?;3|w^e269rT#}K;s+l z2X+PMTsk$!IUZDO#y&sDHoA`GP}MQmjG?AsKiu|T>T1P6AxTmL360b%u&$&&xjori z4J_qO5a+lpWi6oW?r6lr)%`C5JT=>(xnxz<(b?-$C92ZQ{ZZpHel1#|eiJ$2VPD^&I=lNcLH`UoFl5gaWjpzVIr1oKo%z?@_)z<b>2l;%=S?lcQ zTcX~%U+f3vrukg%`LYAp!%d0L5dP3a+L{W!H%NrWz~Mj_?4{VUPB0D(g4G8gjoebY z+{S^j1o#c}O$pQ$JEKa}!_qtzPI!wnkt2kDZ&}Ksi4=;9iGLE#YHtY#>6le;E084^ z18CQ#`O9A(#pFYF9Z2-Od!`u>FLDf|G1M zsfU}{@WJ}%xy2a+e->c24|Ei>_`ZrRxk!y0+p==tcHX7vAGW{pnf8T9dbP@!ud*!Wf7^z z(Be*@Pb48Ehb?Fo#7(0-AIBoa5D!>$sJ(o?%K~-?!fC#3hkj#Vs+W*n9fLi>e6@_a z@<0VYMP-ucbV3SztOS5r`8#3htGxB#*P~o=7uE#m13I8Kna47=s9iwfUxXB2-uO{S zeHZv1E;n$r*OiXJ(MaWmfNGovez`V(@RbxFMmpD|L0*7eBkcv$u2h5a5@?|<_bb84 zUBFfGmQJUbt>&#BRoO04K72TgC+K=vJs@see>e!dZEV?*v&!V4g2pp&1aGCKA3r2= zY@g(qncj_68hWhAzTA!n^yRoxWDxb#j2gd!8i>FoH~Lv&Cbf3v0;IByu0I)g(I{?j zCLK*=YSFyu zpasIV>AN#f+4TlwjfII(IGt5VvD_-`nUuKN;>=DJE3MK|lZG0He$Ru1BeGX-)=QPs zgd_FO1u7RlCv4`QL-y7TlaS#@<=;D-%}W+A2_YmB=_<83c2~ z$XD$-$CIGa2==`Lc&#v!!SANEf3Gmi#7Z(G=I4MNI%Wlv_+3x$naRH+u*K^#<>4cL z_(|V8c|XP9J8Zz{7`xT;Mib?0d~Rm9u4}G;_u9|#N$p9K*ydV*%)PF)NXLr4=x6>$ zO)IM^!%xnO`P)bauUwGP{+Sr<`iMHrBKPloTQeXXvAFbiH0#<+nX`EH<%epZ=}+HsyJqqfCg|Hs$L_LxTV76f zh?90f%RQ?O=&PkJ6wrA9!$ni`FbT;47{ucv=d}Jg3h0<#D_#ZlF_c+%y_0o7+L@H! zRc{~Y#_BrYNv!QPMvbg18LHCOP6io3*z%y)ojU(7stTf`MU3FCV5D$Yn6^LNq#nG5s(2#g6%|jtmj^ci7*~{5rLHqi7Jqe zWB;u+D}f9kVAyt?gSCBmFBlr#7Mp6a)Kd>>p;=?4lSxOh`%+qxwmxbcWIMNU6$5uZruijs;h>M##%G}-S?R8C5D|5n$>1gun5r67oLjuk z+Utzgcx^8)<%y6!V`OjR%$!(m26LxP>7(StXF-ONyi%gSfVSK8=#UMW!&f=BQ>FI! zZ&5M>bf_8Kv}qstK^p%geR?8fMwk4`0IQ@uLuK`(iZssHVfg#3YT(;+imW96`zG+z zS>W)?m5~eKe&rij8v1S;4D(%UECQui}gS(K# z{Dxei|Vu1K6>o6-wN{;4+v^qeJ-(yyVjJBg^b z+hCXLKz-Jzc3|Rs7?rgMKD8S=s6<70ItkeOz=(&uk}k?P?kfwYU(E&oaexBt`7XLhVyw^y&LpGg2R^a4rNSFwP z)VqdWdl+H$Wxy%*9jel3=(;FRKZ0VvG+7P%sgyrwBZH2?j343JD#-c85{o3cGisFI zvkBDcV-%AlseCvZ9&U~qmMQ4&XNegYkRrl1%~h=DZ$|Yp)*ZSMd=J-^avW&JTm^or z*Qo;)@0E>`9_<6A+TuE&V1aO)DTHjt1nms;0JMjAA*!y=ndeTSV`&uoSOXIEpYDV2 z7tg%P!szavK{R@CeYKpdV@i#Zl?sPRAmpU8UkH}@oa9Un9~QZDbS#91)^u|#)M6e62-Vtg*ztq=Kd-L zxxfQMuS5@&eOM=68cA2v500TtJgiHs%NLY`sQ7v-7)3{o{k9oYDIw4Cm+j)FslFQZ z9C>{~RUUXoVr$kr^o)U=LeM7r>CvMw)?Kl$rNiPEOjS5^yBb%c&}a%iP=>2C4US3l8^JfEfZ<} zs$wcdqb2la-`YQrS)B%|l={wkj}gr|s}l!j$I|>cN@uLsnl?+V3)(Y$`H&V_^m_)Yyd48}Csb7*ca}Qo`EOs-oX*U@;9@+%30|9beLr2Y zh{l~J3h(-H-rs9)f*~lz+$x0(ozxg z)6WND$#>qwO27k7q0;Ur3s|$)?bvXb<4-ZYAccuP52voZ)R=vJnC6{^RBzbvdigQx zg11#vQiDF4hZ&UgoFGY*baKdzuoLtB_EufmOsWbakBEj~P32u-U0`9g@5c_0xa4;_ z(G>wRSVdA(!wB>-Rxi&?QJVe2q@znGDbk;BYVOP^&In$*2wn=fTk=vQzuTmvZ;lGXB8_bxuu7=72mVA`we8IUEhZ$Fi zl8BnIDi{44K*F?W5lVi8Tq*IC7aRj!-rHM|&8AL=;0IErS4BGaxjT^FWrpAC=+IML z^Agn8hDkj+#7#2QX$5!@hS)%f@^#q+n-aRwOO@T%PFgAUev4~vN zg{i+*$#sP~%HuI&a?1(2nc9AmukBG2$khCq%(WKmWN3FdI6K1${rupN$ga@4tNqQ` zLE1I*Y=`7!OH2BS9K;?iT2=ra!c+IaAtaBR* zr&8s+Rb~f+QJJoKfONNbYviSl-qT2o%0_P#PH(WdF-G&SHUMo<>@&!xlahx(k=M}e zjn3aYjo0LN2??KP^$*tp@zA*FTj6He_}rTQ?k>vF=h4;R`fNj`~sMtSar zE*9Hj@n*A<_QcW(z^qZPo(`ME_b1_WtQE3FA%$lxjT&W!g3yLJi$%4*R>Zc3^}<}$ z?gbrJam1j~5am%KwS;tJu=RzhFvN6sCASBk5g#YH5SbGq6S6nOdLDTVe>D$_k+?mH z*6QaX*+pN=nN?!R1z5h>^-*5mz%wl; z!YDpCIKM(Tt#`x{$0CS#piJTj;$TL=cXy|y_8YctC_^6D(9b62e#+U+=G1qH~}NbgPh z^zCWmD9cwB=Bx9H6TO`S5S{kRp79Fxcv91_Nxn0`uV2LfWb)>UlX`n_h9@~ft6)9| zr>5&8pn;WerIcPn##DyDa*#N5rBeXt@O>gt zqH^N1IX(PvGF7x;B8|xsuRLxi?LKdicTzQYXVg0xq3aZwE$$7{=xr$E#(KKYy1)Y9 zGid<+Y1MN+6i(U}*}ncqEsRsZ7-SH1&X27R%%7IO@i;o0;N_T~EkH;&k1 z{++aQ^nHvqFgY*S^#O=`a!k-Uvz41PmKU+ZB5re_Zuh}deoWAX@?TjPJu~xQiK~y9 zrLp=}0Ui6Y3SXGPt~gSrzYT2mui^ceq7HQhy4&9P5V2&kwF8@t6g*6Pm?Chl!!%rs zbtiEE0_jYbe7dMm&@*|XbAWh%kIk8K{4p)!cSXHuR=}&8BXy$QVC>>QvSiC=rig=b zs-bim-5zgsYqiy5?eJXbu0V60ZHjc%;`1$^TlW4lAYVD)NFCa3$Q~c{-i!n0j~9M+ z4zwn{yh*#?DkQ6#vaIkaGvvkD5O>QEK1E92Q-d)Itgb))Pt=U&MV zol6$~F(x){NeU{VPC$cZz2GKoBWwKHy$j8%wf!AI8EdeurzdB+);S)hpqQ zElN*$DizJXlhE%FP7Jx94`*eSx7s9PQP)8~LV}(my%dR*0{+|<>xrt!2n-m$V_WPK zu)aUwx+*Y<{Wn@=+<=*f*>YGoU(vQ)O1qr|Pv8RInJ6#4g^ayh-c0vr;CCo#f-JIW z80MaxsF=T!*x(lFs85*MK>IlZWJ~g>(fBOr1EMS=P~#&(ceu}W%Ka7py1~v|&4ClR zettD3rK{X|nbs@-C4frkJ-0-SFU84}DfGwmCT|ceWTF+Yg;r}JFgy{(w_A~?t}DK# zkOvH}BNDzSLUYiHun zMcUc)H;C5>7hsQSQ4w7-5$VoLc7QyPJ_u8%IMQ@d0=ifs@IrMyESAe?Gf)jk=itgM zz+vQsU%SjmfE$Fiz6<$reRyiuG9~09G0~iaoFN#x;rrh_I+A@U! z5H3~_S_XrzjaNi3R5<&7$8M&Q`Aj;>k3EP!;bY1HgBk}itiD;>0O=hxf?_>auO_+h z2z5@K`M&Z}O)K*3H+bzc^31;N_=Od7}Bt-Wm<|3dvzb3Ds_E> zU|!^HXck;C^HnZqurgOw_BuS94Jma6;$;q;Rf=)0xEJNSMmC2DM2 z32us((qmdhnrGsh;NO6s#L`$@SbV6HmwT_tD;TY_h*?fCtnm&V8V}IhbW^Sxu1vhw zwhak6bBL%`l+o*f;7>QZ({8SC1m!&srjPLU?e|HH8GyJ9MiR?g_2nal_^|I|Z0)HsnStGHXVs{k-NG*Aj?lW*1tlN)Y{v!)G)3d{}@sLEM7W z3gL{lNivuYv;@%VEu14_T(6-^I-`l=a$`N_O8kji3p4O?Lq~!k2hZ{x ziW%E942I3olbw2ki^ZRV&WHRyo@(sjSLPa?!3>^O(B}(DCnR{8P7x#>%nh^xl%;xu zYz6~N(J7B*Yx$suxdMJ94RT@n9Rz5ey&!hUH!H-DdB0El9y59428z4EslOo%v%l{2 zCT}|jjm}=3<`3lUlI>V;U_4f*@_~M>BHFB!Dji11#N5Aw-ggPbvze^+9_hIASjCTv z>s>{PGv)B*YjxU*NMJt*Kx0NNk@J}5tID++oTLf-DteGJ=N!B{UQT%k^}S%St|eD< z2{Z^ij`oTKtv0K{(31*Dw-3az&LO?F1y#$oAqCqwZsLpPUXX@Jg&Cjy7;|q{!o9s@ zkb|EB#xj3ssR}AlLrV0@i=a+^8Ar*5{$x5^DYK$EZzHpGKs&}Ro4IzQq+V?aeJjdy z?!iMA%J^)MsNB;H0+I)it$-#XD1WDbu?$&mQK%$##gDypM6i;nV?IU}zRnOqCIzn( zx^(<3kVK9bn9wrjx2!(wWUz#jNj^oEZFW@McN}J_omQQ=1LJA3`=lfOx-w*e1cPm$ zrc7>$@|;&>udP>tR3W>83#5|KveYiULG*YrHlPI^ft6Z85Z$R&iHcZ8?G!-UgfIIG zR)m2{1#>+BC;B-A0*TD3Q}++HMbY0prI3tN_rzf!%-B2h3N(`3U@iT>-jmP&&->!i zTK&p&2~of1)w>Uy5|2PW7TY@3Cb5jxhs$iVgrmCOlkeP>~Lu z(U^msjPY7T+Zfh=G02_B_Uar|6+g5VS$mLa&q3RGE8!$XV^Xz!E}MsN=B*#PWTzyM zGM`jqg;r~*4N$66OaDi8?;6#_-M)=Z0L24}R$EblwDo{hD^;w35(aB4S`WdewVsJB zDz++!5fDN$@v%y)mQ+zu!6eq!XjLLo<;-YNgK`KOG$Mz90YZ!+0E!SXiT1TYyWbEdl2xx!xv+ST$wl>Cx483NDp`BSJ5XCzfW z+XX{5x)qooefSTz|GM26$``~_)}u(>$=BOZ{kV*OQP&!eFm1_yEly#nUsmxt(*yeU z?(~ZI{mA5SV*8o(xaxg)1QXvPOKAa4{eVbsnSPAra>s)~+W-NZl9#9n5?duET7AeV z46&YRc|(@uptm0Qe6p$=oOeIQbe7ft-3u<&e~Pi%wcqkBFAehigk1j@ofcFLE01cj z)SnQTM62(E?Lu=)`tkX<9_$J|t;^6I``JaE=~v$#(5;TtmeK=5Hf)%)VoqjLc+hk|NUsvxu=D2S` z1JkJkI`6$cNn!xEmo6h6d!DR$So6c@1YY4)bSU1{!Yy?u_kfL_yOj zbB515X(aSpv7XlkWE-dCmS}-SRHug6C~1cCnYDkb?~rfqCwS~73}8HGh%T#z-qwr1 z(1nRmo%bKeG$cG(2|;eIT7^TsIqjh-V_M|>&2&Jm!FYna!uagNu-K2zpmW%Y7tAFJ zxqy)Rq!AiAlfWT|9GOeMzx6$YcPr8c@WjgfiYpE{7q{MM=xcIS6ed#1tJgEobXqRP z<<3F9iEc+CH+{A(|Ul>agr1`E%8J#`F88bEcg2o{ju)5Nbz;xi#&Rv7{$hzosKd7@xwetB$z+>|8 zNVcLaIIMhY(YZWe5h33x#RY;95x7}X^B zV|#xO^llBRzRbec@u)27O3Qt-jm>TCDy|ld*9I*3bE7QH3yJ2JX zk;6%0=w^YSt;vf#2mO#=jok$?hws0#03=ndMoqCJWgz-@Dn{389w|BHwH!6(Em6DN zn7xky40s6k(e1nx(cLb{zzZ${VmiLyenyl_cTl6UNQVLN%Ox^ zFgATuTyh$G)Y@${4$~`v9hU47Vhxn3&&XnN8}|Ni=`e>!adhZI8@1Exn_oV=s9~bz z`G?$MP5h;2A{}5t&kb%oG=e_oa_`XteLkwVOmkCbB{7Bm(FjHel+ijM7A9w5@l}0{ z8#NPA-6{NaMJmZJ7J+(}ukq*HAM+YqqA6CLtSK`$#xD3pXdUVEI{;1X;b1oHT`2Ks=4%~7&M8xc4jXRvHgTG)}!R*+_qx>uq4Q21eM zu}Gmtr63UwZ1h^^Ly&Yw*Bo;0CwXz+P8zUR#TCX{4%Vi4bwC*uNtXNBCjwndI^26V zJq!%Z2rxB%82uOWWO}{ef~ZSD=q&)tX>h!oKBwpm6Kl>YK8P7V1V&@P{qMFr^rmOR zu>yX(3yjm;RajtR^(S}zHwO~u<|Wd+t&;d`Z`w7e^@;PUo4m*hi$CCsl?XP0Lz6Tl z=k+UvTAf2JX8Frke&SPA!=7V+luE=_3DT&u;m}$aAeCDeOKhJNuyn^*5XJ$WG3<0|B#mhM( zW8K%s?q=4{ ztGczt$$4`J?~7}o#mUD}i#;_}Jte0=+{|FfYmBr0N7dOqL4}W_7?0Ke!62D@I{%Sv#4^a{-$&3Eqs-zDC zyv0?{b=r}U!R_;}U7dE!QS%1V-vP+f9Ujivb=wEwHYK>4hQ6yioLUvFb1$^6D8G&0 zwpN`2tJ4B9 z$0MOaUN0iv_^xh~a0YjJeOR#|!67~=!m=dTO83?yNM0TPnAPljh3Q^rQU^lDBkht8 z1y-~QEu*s%OW{DI!LD>8*zQ6tm8peAiHE#|fCV#IGP3`7%YS)3O~CBD};75Z__Thg*6X|jJsm@8QgW>`kxLp$tp=C~#CdAQ{Vl$F%uQ10>udzv{Tg$r6td^AJOMvo?10gaxZs>~1 zQ$Mo!Lo-f$huEeBrJYCimRSGAJQ*PrIjSl|j%@i`Wc=O*!sUUR1_4LZ$;sQ06q_86dCWK7jp;K%4r1vu>yAqrXs^l!W$j>~1TRng?Rn zm&dw;Pp8f=TK==tJ;8MlC{7z1vAH(ss0h;cRXQ7f`SvXv^%hJ~pc1_5z=%}E%Uf72 z1cq>C*X2JFGq&%!vSp*p+J zp8W{Ew8hvTi;w-ZuzRDe@uKs47;~*PV~1?lM#@LF_AMwGEWuvy$fiFVvl`QSN>4rA z?yDo;4@kq`o5T6CxpMA@u~gnz@s@?Nl*K`x`3>IgTZA3in~r1{)gpQS{?@v=qpq)M z-@?DeEE0X#G4c@L90iWrhmrPx`HV+xKd8e$sR_(m@4-SbHgr_jRhX|XDDC(;Srq;l zG88woA9ZQ!nqVdRGfP&sj(P(|q^?1S$?4Z0=k@V1iR*h+U!fC{>@Ug$^EGUaQOo}K`@>QwtGWUg>yIoOss{IhoK4Vu+$@R9U7~fiP|_4^mg5aN0Vydl$Xf-WYvDvO7sSbk2P!Z2Vo- zP%*H~8j!?hRwd8@e^8oJQJQ2njNQ=o+Lw%xA)srvFi;>3jy`KFcqJU?mV`jXgw`iC z@jHi~Td-R}(V#tlZZPSHaI(eZw$KuC-DW`mJrj91j$1qsC6I($N$X)GW!vZQV_;wf z?eo%l3IaXe>~`^vB0t=kx3!xKwL}Zw-+^5OB642eq8wktU5Z}{B7cr7&rX0U5UV>_J5;TNSSq@dr+T?bu~>5zu_1?8;z`Y&Bts84I*grRUjl%IFIf{ER>|=$90WTs`$resWgR zr3NLe3zR&<>vatj+Q=#brqn1ttV-*u7t$=O77U}OZeV_w7`;vn+N(Z^I8*!u@}Wu7 zo0Jne3uvC(a-jql+V=Vyjm7owF*uc6Bmc_fIb(gbZc8jY_C%RIXx=DfjM0GOE{R$t zU#-<#Y-3DV)A|k*g96-{YZ0Q|>?<&_1|w+LVH8x5nprUUPS8`}guvyY3H!^%M7#QD=|imgb+> za*)^Hr8us5je<@r*yz7UZx5FK3+j-`$-P)VAU|n_&$=YgP6<6~4Q6P+*d)n*>2~ z39izN%rB|;eD@#P99$lRzEpyf)Y^3l(n4>h0|y_P>LyBuon8YKqn-o^Pog-AoLpSg zF_$iZx7J_2rVjy{XLi2;jFS_Y_rxA2B1w%~({HvS$ghRtexm$MxYxqbtRoA%k2isu z@=Sr{qoF8A0oyx7%!D6y!>yW2o8$o=t^}i^@-|GM-y%nK5)Ob(<8^ckCa#9*hR=z# zNb6TYRWz=f(j;DmFc(3g5oSZX)MPjFEb_7P9J3!!g{NOl^s&BXXr?z(e4OGHI}>1d zu2EPaU4H=QQ6hIo|B1}J*kaK#4P^>gP62n*!4|jVEQLOXtykB1rkpB}8^NdH?&$H}#1ih#GoY=`B;COHR&Jd?5UA zx32#Sw@PB!hskcjrcxro^2EUb2W)r~(%}J1lxGyt>tuRDdmecUuQIG}7R9{V$EYuL z2{`UBOtP7j{znGr|AD^NyP1!MQs=<57I+V^y!HPEt^M!*+R6seRR^6FZqaF&Grami zQjP|!=pobzi7tVmjXoFA$rJn@H{_@87r$6C{zYI0+<wf$7vsls6vVUQ&4$&QKquf4!6TWr0`Prx(jJcH9xw zc0&BO*|?S@Jnr6r&fsAEp|w`GvW*4UVPj2gqkm&mpGzY?5sNO%4&C)U$RI3OR_ zHL+0tJ?-lmnq6mhCT(*klD8y{)>3PK^fMsARr;mgeZxJC)NlCs@{!)iF%M>^bL<)= zz>&BigL^!YnJ3?f9Ncj(3D5BR?4$2`ndqCh$hVe-`JA)VB0g|Q-Zt6zIz?_@qmDRZXp{MNk^?z{}o8Vf6d<9kZ6NLoqX`3U3oU}mf2_QY8x`U76MpU8c1q5U%j+&JL@|Cu@VXfZ*{JRqF;2msEn3%AeV7Yb7 zEgdt&PysjuAy_XR_QIxhV6Y?4+poMjo-uiWK=R)*h9k!_;)PTH1G25>Yk*knw%P1< zmcRRwPn>s4iOfLou)$a}G{KrYS%0}3&d=y(aDRVTr>I@Yv9!wj_VGG98BQ3|OF|=+ z=OEH!mm%PAHX;cheFb%m!X90H$PSAN|8QfGKTGw!C;7O0x-Y3k|3_9_;*PRjIbp`YkxpxKPC#s67)EP7y8Nq^SVWvGBKE5h#5sb+*bvb+j*F1P?%2OHAyUwmQjS=1xktf9kWMlbF7$_&aG7+MzzzCR|KnQY;j zT9fTk->?wJJk~2&9R$B{ z$ZA;j5>d0a0#xz~;=DpSm?DeRw@|&!It~>P+SilyF~iFQSRTCr6U$(M=f!9noZO(P znh6|PFWMOWdz{xDWnOo;Ew2&&?%4w7Pg37>>lCU5s;USrddUy|XL{q;41vWhQC$3I zZI%5{IPQmE8A}u{eYxEhn82bafe{Jm(9x|45eoV+0l=z^IRp7G3fhQ@^c?7tB0ZL6 zVBxzbpM~j4VEiehc zk%s1_kqblBGS42%dSJ!ZOof{Sj~WVIAKKS70@-3TxZ;ooP@?-NLR;db&ka6=J>lG> zK24oVjH}@SzChMk?M9U^i+{6PEHl&Z4_T`S0lN@3=dOo!F?~n6rWehhT@7t-;lfTk zIlQ~cYmY@@fj$K+{?K5^{)7OQGn6W55aYZGp}@WY7XfRHg*1K`VQt%=ZqZQ5q#3YF zKocW_PeCuMywkz%fV2>3qXptig~OzyFyrTL>}B|ho&f35?=Sv{Deug2XX?sWkAEG4 ztVsN`O;%v;*z)-{%LmyG9lgnAi{dIv1Ny%9{_U2z@y56Lbv*Z5q@-@bi(c_A6Orx? z?Q(JLAY=RN1-Z^V>O!{$efe86RH1pbvHf%4`Q*uO7x3{&xRH5-zq&g2N+-;RMv7RV zc14~4=JcP$cf4iE({9~H`v~{iKc2W32-63mSEa1UK0}prE%9^95rGESEw7O!Mn7E3zuQ=0Z@kDo{N8rkj5qe+`bL z_k7t-_iebL>3aLfCqme;@xAmnC=)zbvdi6)cx2*b_c{{^W<{8!O5eC#IyAO3=u=SL zd5a7mb@f;SY~o5<{3tYqbMj@l&}oi$%|GI9$3{Psu?y7z119~s$-5d@e^!g50< zgzVbD#DTWElUl0-e*X%SuAr{&N`Ty|d6lFxMPXyzhM!xu5*bfl2S( z%+V|c^5fAN)2y}b)Z3=q{H@V-`}jY1XAVS;V0>qN^A3)?C12A#>pNU&}V!9*Ozw9E1W&QE+p^`j>PkrvBr3 zY=DAOe-zmxf3S1E>CR5qmLJz_tkZQYncuYWUdoXBgZK`cuZ%UYsA4cvxM91XNI!+LxjY?$dE~mtdYQF7TR>q#Q^Zqw@`JtRe zhX%!&X(pRbllL5XNym!4(m@eH= zu)*kN`6NL ziTqAv12W_$mhOU_FrXu0`o4N%0BvNuF1DH{HfE-Frrq;Qep@}G+gm`5UCjtFlZ@%Y zvH7N2RC!g&boswp*u=OE0#Bj=hbtjylRV@GI7f{$iHJlf8sOT-DucW;Q|?KJwcp7) zi(1v@NEarFUxkdojeK~wpW77<3_9l?k7v}G4O-mZ+KQuRqT_rB?3u|Vf<=RBKuAW{ zQ;mR;D4p0h$cc3$hSv1fDF_!&uq1LT}(q`29DNf`#+w#f_{5 zbimfT{=W>O?EvIn&d_?e>)W5icmPUxH_=*MGu1TI$dQn~1j{{m4+MZ-Yb;Oav#>l& zX_a~b_hVVck!0&3(yVzZ{4g2!l(+1f615pzs**G~z2OTZk#bi7w{J5@A>h;Dbwn#_yC~>$;_jU3T?NMZHpN4Ig`m|1v!)W$p zALBs@dJaDq;hEFgYgwS77kI^c6P@9pG6uUxv(u7mPQ(oDZdU-tB2t#fRcbRZ_mnt1 z*bowqLLt96W@JSuRGrFrI-9ihE$sFK?-Ei16s)WN*^JXft1K(dVKOJ>yZS;n;&%l- zgvxvO!7e$7KQ>e>fQy$%EF_>ti>Pe^nB8-g_!O{YGrbUVIGFXg3#z{36)Tc;&}zxq zcX?!)moP9>V(0VrlfbMKu)|8AD!HY^+dc4LKnPh(7P%yJ5m^-DPYmLu)ygjhCl6q0 zAd_?6>@oFZw2;x~NN#JoInFx|{GBGk%Nj2cvEaPCi|Wn|M)5)Hj{;<*^UY$7OvX`& z)UW4SkKc6Q;Ox}T|yOkYc zTqFZHbwBcKo5ry)jn1;FCG6ejk$rDEBszW`$cOXclx`U0`>GeSqg4c~h_=L2qjs$uvA5(s-NXi!m zReYjNj7~OPp5n?Xvv<-P2;rnZDSQszbf_-x@wSOZx{XfH zLd{9x6lTa*>dQkH@_MTH_@Bb%F=PJJ>EVRDsiXODE*A*@ciSDz`2T3Az@6jK8n1^m zh|Yj@W}u@15NxOlhn*!nxN{rm&@3_oCf=PsTB2~vWyzZpT?Jq>JN*|4wWCo&9s@}q zxJA28#7sDoxWzJ3G^^1{nnFO23-04ZHHE&o!vdkfi^Hv#Ek;s4i(cO_pJ~;+G>9ei zrDrko&wn2KBY@CfTDSfv&{9idTd=2@RJPS5-sxq$@oICw`}125U>TANQJM)ci*Tbm_QgBNq14Vi8bzOcTPnti`T0gp zcM1$j!^rORY-8{`({|WH_{0(geU-t;d2=jSEY=1dK}t97OiEjJ=GGVE1*vDxW6<5K zb+~4{UX)66K9P>tTYHnX%(reo`VlFPenMZO`I%hB%D^=Jd1P5j`v;;%>z?A!&u zuFnBytgadGY+H{iJ=fdvE`ECa8oC#o<)BmXm&Ho&pd<6R>YN!~f33?OOO|G}B$Qi$ zi^U{txBEtcGN$_93vUkHwJg7vsBGDOtkL4zA0^Tm)E<$nvDb5c?p@~T0vjn9#aK1s zGq|cS1;$Ov{R={0g0pk;n40c;=jcZ4DfYBHk#IzU-YTbo{VBbI)6tHphntOq5cllv zJ>B5a_oxIn{c&_wX{BT)@LYPbxr&l3dKCHo_!jYa`1RrtIvSOS$Q=Ad<6_1TN@o9H zY)?kf|22OUGH)rT%&obuDP*Bxtv*|aB8UG+wBjSN zOsvM$Gl8=0Uj8Vk*`u^;!E+IY67pVQ{_pOR4u^4^x|Mpi)e* zO1GOY$!1dgODr&t?gOc@FIGD8T!P4;13;&W8RZtgpu%8614{^dP}G@d0T!_~X6QPy zyvh6bIqB6T#4>RkeW-dEI>TqDl9rc1`oGTSjcqHi#*7PHEndeo6wy3hN^>H}Imj)T z1`cc?O__6HcV=0kqyjX)3fU!;m3)7=#!RVYI2(|+`%PYENf@&n<|KE}PP8UwMAc+H zJs)|Dq(ho0#0#-_d| z8u91Whp-|`kQs&;AIw@mJ6@a)OfZw-&{JX1bQ=cc+s79lJ)(RqiZvDUk^H3!xSaK1 z%f;i*K-OaUb?h2d5Y^|k04qgD^hAiAEG;|yQ%mp zr~0f?_5KW>nSYFN(VS;xaC?7#4cZ~BRyMS zi7QEGRag{2VA|>Rzm__YHc^;h`yfgAs!kA1UXNPMG#Cc_u$qXf%|0haYkb@`@5`gP zF=J1|i?%^Y7#}ISVb~jmV^D+KiSxlQM+W525J~q!I|w-(GQ;Tkir122GY~`~$UY>Y z*wBNCGaiPiZ7`jy8kuo{+mk6#B`0aFz`{(uTYY(vSzQ}cbWlTGGUNbfuhmm%n4r*j zfNeyU|Kmh4%uO?&3nyK3D6q>=`c-?{5jj}j40N0Xwe^My^f--DyCwB$a8$$LYqQ}Z z_Eh6?ouUd^*$TwbXs#3cisp0AfTq|JIH|M2w|saYPw+Kj!rfJpLTnJkVyIQX^c?BX zXsmF!vaAO^lBVzbY~MzYM)UeW4BrWE-S3t!x1sfMUU6RHLwfjuX}|zqpn+2B2932h zAdw|-lrD2t3IY?aY9mk}u78$>O;8t++3F%NnqtffG6BkULzjb#-Z!hSx}ZHlmP!r? z(8oeXo^6m)*aI;MK%NP2k)a+rK<@#^J?W4WC8l5Z8#R{h^g;A6!Vs^L*i?=wC4uQW zxDCeRabCNV0cmCi+rENhF5#+~x)Y#Xx91_W@!K^nw;%(ErtU#5({&Z=5n*6^s*p{c z;Ul^|9MCRZ9(m`L7Ih8)P&iLICe{MS{w?yEg2`D;fPF3)>4ZSyjpDCJ>_Kk&*ZwjBPEq zmT4Tf9)Ob2iQ{8Ut{uW*J(My}mjYUFr*y0;)^J5IG4XHV#vE&6uKVovqoHj?82<`< z@>Oqnml*VV`%Kd_DjO`Kd7MR1m5SlT2(B6Bgp2xag@eXA>S!5V&0@1?nQDqD&g-v! z{b-Eox$^7=Vj#dvF?jg#mgOO&{g`9!Dg=fg@r(6FxQZ!zR(Jnxz7O|7mDEyV+?8q( z-7$-4C-ZMcf_rgCFH^H36bu4tBu-~-=SIhy1B%PB8xh&G?rL_+Ag11#0q^ld5?yTX z9EzMa1x?Rbu%Z_-=HXEL>!}VdJA0vfGRf}ZrYeIW9?S2;qL}bZKtm_ zYJo6tGCyJHDu|9m&MftqM8Jw1wBrt}a-4b9)$5*rIP2=?@$2&a`-fZhqEE}| zDqcc_bQs;#CrYOO{D@y^b&GVWAm6UzpZJVuq{S`c9FN+)2v!9rf!!#?2=xiK_36rR9(YHaUQntF&UwThE{Ip=dC&oMAZ_1XE;3Cw! zdv*2SOe^h8nM}wC&A!OMgMsnsT9HD`N2B6=_DssDUe{j%Z{Np+%k2`gKu_~oIwaQq zi+L1gu#rWE*8z;$hlT}L!!-~cP28ke?T(HJ}}$dg2CZ6 zaAA{QRPR1PJ05q^s2o+YijE>n*+eg$OcqUqw{0NonaAIQ zbD9R5jXVGmaHDWy00Dw_AiurbNI#Fg*cs=YpEy?1j&)--%*VoU{b)aRpwpk8WsRgy z!HLiF&yI-3ZJNFa1rfA1CK#`=5;D>)X&ybdc@px2)=@!Td5Zu7I6GT@bBd+2`?xMZ z>ccnDMJ~cyPtd{mlbA{M0ydGTyg@=o6d@sX^Mb>-kNT* zPkm2*HVNlJ+sJIMYRk7-*I57xmctflQ8qm*2nrd$CdLs+ zX&`prO=#rmfmYRp_CDlv+J|TpmQB!EtSS*QvaWza4+95D z@SOek9JU?WL6B|=qYpsrO{MweGz#*OpKd5mjV_R=54qeaN0GexV32@0~W2ci~PXh?4QhS`&D-3>%q(mPAIA7{Bs@QRGu9FsDpd}X| zCyu85ofAMrbb+p3qHWdufs7vK*ESPfie=t(6X)710u6fdz^{ ziWRw=l#X`S^<%-=@Mc2Yko0r}00TOTjopV_rH^@M6$s0^uat|dYN-Od4-4>z*Gdfb zsRCSg8;RPkJcH^>Tpe=(sWTOTX8H}LtG`B{D{<=&7*!h4D*%UTvlHc6f=V4J28Fqa zW%?dTsCR?OR*PmcPk`xRT4FyJG^J}?HyI^~RH{POMeu!PabF;#s>10iJeZ~;93a{8 z!+%@JfAcr^AY)2PKRP?kYt|P9+@ACxXw^=%-asPmSQI<_T^Idg>_Kjw3UPyV(^Njp zsGuom^3H>@MHQ+t8*SvGCaAI2v2*J+U}#GRp=@B^kB##=R-D)aCABJuMfD+^RpMm5 z_ySgQz!p@3gr~O=C2no6Q<17Tybs8Qx=ur~6DG$um4m z0c-PHbC@!~j9SMdf9AX?x{qpmIqkvP0$w_6xVD-5m)A_>oM4M2B+o?0I{Bkvs&zOK zV8uFfAoz1G@}?3aJj5!yUXx7vRw18m(3C_IAs+IRdt4o|NM~7zHEA8bzUmSwQ(lX7 zzi@)7IE{_%i)7&@>9A+jI(-jQapI6|P!Ie%#=8Dkw{ig+qwlcM_zS*fD88a3?p>OR z5NGS~)y>HBuMc;i_9ECdIzY#_?GTQw{(5(Y#QHFy`=CfCy3BpOdTA&0AIBUSP(7l+ zzW)KtxY8+|Uiori=3aK8fFpwqm<6QF)q(3YYB+y8gws~lih+6xh~s)Ly!23R42yP$ z&bDV+AplhtN7 z-T@Em%tYHnuvcz2J`C_$J7s4MduIFq2Ib9~;|}kGG4D-sG`1u^4-Ib|e4RPSR8iND zNJpkLgsmFAah81ESAM9iwLlPj0feJI6K+`X^Sgh%gWdS+SfdUai!M{E)etkOE@fQ3 zxzy7Mm!qTz4wtH z2e$&AwWgcx>(!k9**@6Vs6(drVb5AC*R5N(@0DdN}73z`BY9``k)sMfmV7JH_; z!4g#fSsp`aKHq7x8DieKE}8ZhR(@Yn1+@xMsvxTpU^%bN<(@HQXHqCBY3HAMFuTlJ zp5b7sE#x}pCqsD0?z0y`klh5vPB7iXni);5L6hY+vhJi|n>u<^UC*isxhPpe0uL1U znM-;u#rFmH1!SqxK~QL@TyJ=Dcc{soDDF5rsI@49TcpFRw1$q18HH719@B*M z^hQ*<8ROJcA@lxon1@d>IiXkMrRKiIewF%k`DP{Rp?yn`;a#AsH^5gy2+PvSfv0gE znY79cymzYvyUd!w5bz~j9CrFi(JQHsbV#zKB&p5q3bl~fFwE!se;izp7uC>2t)Evur?DtK zn=~qWKtOft(EfFIDU(Z+Tqk2HskZIHN%hg)*)qLathJy&N3-W9JYnEDfcxi7)&^}WoE85cH3 z!=8sGvB26a6SOklfxy=VMNX5?F_Jkj6Pfs{Z6z;}l(1ocq(TC1JCm*pI?%{>_e&X@ zm~4R1ws>}2+BP`GMq=!m+XyS~yWa$_*pURS`k*xh{X1XQ21d3|y^$r0umc9}wCRh*4QgZ^(o_c2=fNqJJq2 ztpCwJ_pxn|j`vU@yg^0AS|p};2^zFJ&U-@@o?$o8kuGchZ^EF{w23|x267bS9SIQpww4aMZiY;s2%-T7oB#Bf#w0i(u-Q_8U`mCOwDNyW)2L5 zZrO4ZyJ#S*lo40F79zRbFC-xZ>B?yn)c}pjvDTb z!k}ybv^o4gTiS*93%6>c5nT!rKLd@wm*n-?bI4?l^?cdrBNKZ_7T6+4L?F&R2p4n9P*yyX*B|ao?*4E1$uTxWY)9y3nB3P-iL9g_ig6Eo~_tBT$@F~OlUK|(?=^S?k=eMp41IyhE^%ccml z4H7{4+|qh6#r*;Xt-q(JMKyg~!fU+O^xYqgy$I^acTlxeU+UW0u#Ogi$#l4BJ<7 z{+ywyE@w0rb)1(VN5K-}tdF~T&0FLNRn+Fm42#k*Xp~v(-I+AAZXjT~a4PX|>Io8p zEC@fJ-3$mES^aQwWhrb5Y4tfW{SkX$)^&!@zTLau`~<5e&=m2Nx}(Ur?`Gt%?Hofn zHaoDuwa@pvj5g$XKGWf7IGS{hoU4|7#^;ez-?Qm96ZB)*DwGmXSCCmnZJu_8FsYwF zirM#OOGl!sP+~S6PsC+9QGCiB;iTg~c{ELVqcc-XhhWVjCC2O0bVzzPBy=@uZcEi2 ziWv@+7g+kGGX>dGGrtp#!pp1+u)5?~WI-xj34O-Q!UlMFE_sct8(W#$3G1idj||Bx zk@V(oo`3EiW-yFad0VZ~U<28{91y%|iC(2`R9^P& zB8&7Cz#6X|v1)>!;Ty$+otCi~5KR7ocG|Ym+w35e&TV{&EYm(t$XY_`PJl{aFf8Wo zun0b z=7{VmYArGttq=v$%{INsB~nNKEu1>CO7#)ppq573P|yoTUEddr)Dh55zeVn1M}_b_ z?;b@~k`g$G&u9Q9*1G8ghiBFLH7e-@F>?S-6itIJTOjR&nPWz~^P_OK8Z44|y5=3i zp@}U$bSc_Qh2<(%c0%EPB5jcZN3$V22AVZ`=m?sTT6&Kp)K!Kl1B}!{2e^4%K;g6Y z6gOtNpnf=Lde}K+$I|3>BB5jnl}2wMV99V=YyE9*FHvS_PI3AHs?^=& zbF`v;%I9E+nCMOC(^YhV79S9fEOI<*ZS$ug6R^sgeAo_A7kR~NEpsuU6g6wD{quY` zBAeY<>-X52gJ6yW9_2?kdZory*NTR3hn-HqpB=Eul4d))LgTxp>e<^YO0_3K!I z?0`F1q!w{>hm~-3-Xyck0^?z;Ua7t^7cHyJbgnkc1aPVQVGgAU9Tx3=v#p%a@a9s|| zvM=i_dm>4y_y;Ud2Yp3=bm$`sHj$36zQFF1fHpzz&&02O4P9nY20b`V6O z0$p>!5=;V`?p7Bq7QbOkN&Y@~iGuRj(gHCAJ+fTtLqMe5e-cXjWGe_fFqKO6V{278 zPY2Gc!`gGrKn^e@x_A&|m@^^x&UH!5@L+5R3}?>dH>T(nI{1zVDU#gcfC?6-7;%V( zuSpEf-4Cm|R^@7E+|WB7&civIo!*=nm?(Ec>oUsd));ICm%s8n0z{1O-EE*V&lS}K zEgF=1e?+Nh%=icLp>DV(7%wwOU?2S^dF!qhe0(%qcW|3`?VCF1zzl}Fnr)X@>fEr* zrW%07vY$_L7132?NUry7^x3KkTHdZ z=1XE#{U%(ntPRJ)J#!9q4*%v(MrD};-WF$peUMCv@&BeB)CnpCI(r{B&%b&IGTkF3 z&r`|tj$&FcI0JbJTZ5EoB^)8jH<=t+1=iLuk_Q+~Iy^l3zE)!GkJXA Date: Mon, 29 Oct 2018 14:30:31 +0100 Subject: [PATCH 03/32] attempt to use gt --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 128 +- ...-10-dplyr-0-8-0-release-candidate.markdown | 1650 ++++++++++++++++- 2 files changed, 1732 insertions(+), 46 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 447a6a89e..d07f2d852 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -15,20 +15,61 @@ photo: author: Pau Casals --- -```{r setup, echo = FALSE, message = FALSE} +```{r setup, include = FALSE} knitr::opts_chunk$set(collapse = T, comment = "#>") options(tibble.print_min = 4L, tibble.print_max = 4L) library(dplyr) +# devtools::install_github("rstudio/gt@colorize") +library(gt) + +show_groups <- function(tbl) { + # Get a named list of column labels + col_labels <- + lapply(names(tbl), function(name) { + x <- tbl[[name]] + class_x <- class(x) + + value <- if (class_x == "factor") { + paste0("fctr<", paste0(levels(x), collapse = ","), ">") + } else { + paste0("<", class(x), ">") + } + paste0(name, " ", value) + }) %>% + magrittr::set_names(names(tbl)) + + # Create the gt table + gt(tbl) %>% + cols_label(.list = col_labels) %>% + cols_color_gradient_n( + column = "x", + breaks = c(0, 3), + colors = c("lightblue", "steelblue") + ) %>% + cols_color_manual( + column = "f1", values = c("a", "b", "c"), + colors = c("cornsilk", "bisque", "goldenrod") + ) %>% + cols_color_manual( + column = "f2", values = c("d", "e", "f"), + colors = c("pink", "pink2", "pink3") + ) %>% + cols_color_gradient_n( + column = "n", breaks = c(0, 1), + colors = c("red", "white") + ) +} ``` A new release of dplyr (0.8.0) is on the horizon, and since it is a major release, we'd love for the community to try it out, give us some feedback and [report issues](https://github.com/tidyverse/dplyr/issues) before we submit to CRAN. This version represents about six months of development, making dplyr more -respectful of factors and less surprising in its evaluation of expression. In this post, we'll highlight -the major changes, please see the [NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more -detailed description of changes. +respectful of factors and less surprising in its evaluation of expressions. -Our formalised process for this release is captured in [this issue](https://github.com/tidyverse/dplyr/issues/3931) +In this post, we'll highlight the major changes, please see the +[NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more +detailed description of changes. Our formalised process for this release is captured +in [this issue](https://github.com/tidyverse/dplyr/issues/3931) ```{r, eval = FALSE} # install.packages("devtools") @@ -48,50 +89,84 @@ install.packages("dplyr") The algorithm behind `group_by()` has been redesigned to better respect factor levels, a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to -match the observed data. +match the observed data. This closes the epic issue +[341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014. Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) function: -```{r} +```{r, results = "hide"} df <- tibble( f1 = factor(c("a", "a", "a", "b", "b"), levels = c("a", "b", "c")), f2 = factor(c("d", "e", "d", "e", "f"), levels = c("d", "e", "f")), x = c(1, 1, 1, 2, 2), y = 1:5 ) +``` + +```{r, echo = FALSE} +show_groups(df) +``` + +```{r, results = "hide"} df %>% count(f1) ``` +```{r, echo = FALSE} +df %>% + count(f1) %>% + show_groups() +``` + Where previous versions of `dplyr` would have created only two groups (for levels `a` and `b`), it now creates one group per level, and the group related to the level `c` just happens to be empty. Groups are still made to match the data on other types of columns: -```{r} +```{r, results = "hide"} df %>% count(x) ``` +```{r, echo = FALSE} +df %>% + count(x) %>% + show_groups() +``` + Expansion of groups for factors happens at each step of the grouping, so if we group by `f1` and `f2` we get 9 groups, -```{r} +```{r, results = "hide"} df %>% count(f1, f2) ``` +```{r, echo = FALSE} +df %>% + count(f1, f2) %>% + show_groups() +``` + + When factors and non factors are involved in the grouping, the number of groups depends on the order. At each level of grouping, factors are always expanded to one group per level, but non factors only create groups based on observed data. -``` +```{r, results = "hide"} df %>% count(f1, x) ``` +```{r, echo = FALSE} +df %>% + count(f1, x) %>% + show_groups() +``` + + In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates two groups. Each of these grouops is then subdivided based on the values of the second variable `x`. Since `x` is always 1 when `f1` is `a` the group is not @@ -101,11 +176,17 @@ The last group, associated with the level `c` of the factor `f1` is empty, and consequently has no values for the vector `x`. In that case, `group_by()` uses `NA`. -``` +```{r, results = "hide"} df %>% count(x, f1) ``` +```{r, echo = FALSE} +df %>% + count(x, f1) %>% + show_groups() +``` + When we group by `x` then `f1` we initially split the data according to `x` which gives 2 groups. Each of these two groups is then further divided in 3 groups, i.e. one for each level of `f1`. @@ -122,6 +203,13 @@ df %>% summarise(y = mean(y)) ``` +The expression `mean(y)` is evaluated for the empty groups as well, and gives +coherent results with : + +```{r} +mean(numeric()) +``` + In particular the result of `filter()` preserves the grouping structure of the input data frame. @@ -143,7 +231,19 @@ when `.preserve` is `FALSE` the data is first filtered and then grouped by: ```{r} df %>% group_by(x, f1) %>% - filter(y < 4, .preserve = FALSE) + filter(y < 5, .preserve = FALSE) +``` + +Note however, than even `.preserve = FALSE` respects the factors that are used as +grouping variables, in particular `filter( , .preserve = FALSE)` is not a way to +discard empty groups. The forcats `r emo::ji("package")` may help: + +```{r} +iris %>% + group_by(Species) %>% + filter(stringr::str_detect(Species, "^v")) %>% + ungroup() %>% + group_by(Species = forcats::fct_drop(Species)) ``` # Changes in filter and slice @@ -246,7 +346,7 @@ iris %>% # Performance TODO: - - unwind protect + - some initial results in [this issue](https://github.com/tidyverse/dplyr/issues/3881) # nest_by, nest_join @@ -281,5 +381,3 @@ iris %>% group_by(Species) %>% group_rows() ``` - - diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index 33ee1a894..1133563b4 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -20,11 +20,12 @@ photo: A new release of dplyr (0.8.0) is on the horizon, and since it is a major release, we'd love for the community to try it out, give us some feedback and [report issues](https://github.com/tidyverse/dplyr/issues) before we submit to CRAN. This version represents about six months of development, making dplyr more -respectful of factors and less surprising in its evaluation of expression. In this post, we'll highlight -the major changes, please see the [NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more -detailed description of changes. +respectful of factors and less surprising in its evaluation of expressions. -Our formalised process for this release is captured in [this issue](https://github.com/tidyverse/dplyr/issues/3931) +In this post, we'll highlight the major changes, please see the +[NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more +detailed description of changes. Our formalised process for this release is captured +in [this issue](https://github.com/tidyverse/dplyr/issues/3931) ```r @@ -46,7 +47,8 @@ install.packages("dplyr") The algorithm behind `group_by()` has been redesigned to better respect factor levels, a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to -match the observed data. +match the observed data. This closes the epic issue +[341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014. Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) function: @@ -59,16 +61,532 @@ df <- tibble( x = c(1, 1, 1, 2, 2), y = 1:5 ) +``` + + +

    + + +```r df %>% count(f1) -#> # A tibble: 3 x 2 -#> f1 n -#> -#> 1 a 3 -#> 2 b 2 -#> 3 c 0 ``` + +
    + + + + + + + + + + + + + + + + + + + +
    f1 fctr<a,b,c>n <integer>
    a3
    b2
    c0
    + +
    + Where previous versions of `dplyr` would have created only two groups (for levels `a` and `b`), it now creates one group per level, and the group related to the level `c` just happens to be empty. @@ -79,13 +597,253 @@ Groups are still made to match the data on other types of columns: ```r df %>% count(x) -#> # A tibble: 2 x 2 -#> x n -#> -#> 1 1 3 -#> 2 2 2 ``` + +
    + + + + + + + + + + + + + + + +
    x <numeric>n <integer>
    13
    22
    + +
    + Expansion of groups for factors happens at each step of the grouping, so if we group by `f1` and `f2` we get 9 groups, @@ -93,25 +851,556 @@ by `f1` and `f2` we get 9 groups, ```r df %>% count(f1, f2) -#> # A tibble: 9 x 3 -#> f1 f2 n -#> -#> 1 a d 2 -#> 2 a e 1 -#> 3 a f 0 -#> 4 b d 0 -#> # ... with 5 more rows ``` + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    f1 fctr<a,b,c>f2 fctr<d,e,f>n <integer>
    ad2
    ae1
    af0
    bd0
    be1
    bf1
    cd0
    ce0
    cf0
    + +
    + + When factors and non factors are involved in the grouping, the number of groups depends on the order. At each level of grouping, factors are always expanded to one group per level, but non factors only create groups based on observed data. -``` + +```r df %>% count(f1, x) ``` + +
    + + + + + + + + + + + + + + + + + + + + + + + +
    f1 fctr<a,b,c>x <numeric>n <integer>
    a 13
    b 22
    cNA0
    + +
    + + In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates two groups. Each of these grouops is then subdivided based on the values of the second variable `x`. Since `x` is always 1 when `f1` is `a` the group is not @@ -121,11 +1410,280 @@ The last group, associated with the level `c` of the factor `f1` is empty, and consequently has no values for the vector `x`. In that case, `group_by()` uses `NA`. -``` + +```r df %>% count(x, f1) ``` + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    x <numeric>f1 fctr<a,b,c>n <integer>
    1a3
    1b0
    1c0
    2a0
    2b2
    2c0
    + +
    + When we group by `x` then `f1` we initially split the data according to `x` which gives 2 groups. Each of these two groups is then further divided in 3 groups, i.e. one for each level of `f1`. @@ -152,6 +1710,15 @@ df %>% #> # ... with 2 more rows ``` +The expression `mean(y)` is evaluated for the empty groups as well, and gives +coherent results with : + + +```r +mean(numeric()) +#> [1] NaN +``` + In particular the result of `filter()` preserves the grouping structure of the input data frame. @@ -182,14 +1749,37 @@ when `.preserve` is `FALSE` the data is first filtered and then grouped by: ```r df %>% group_by(x, f1) %>% - filter(y < 4, .preserve = FALSE) -#> # A tibble: 3 x 4 -#> # Groups: x, f1 [3] + filter(y < 5, .preserve = FALSE) +#> # A tibble: 4 x 4 +#> # Groups: x, f1 [6] #> f1 f2 x y #> #> 1 a d 1 1 #> 2 a e 1 2 #> 3 a d 1 3 +#> 4 b e 2 4 +``` + +Note however, than even `.preserve = FALSE` respects the factors that are used as +grouping variables, in particular `filter( , .preserve = FALSE)` is not a way to +discard empty groups. The forcats 📦 may help: + + +```r +iris %>% + group_by(Species) %>% + filter(stringr::str_detect(Species, "^v")) %>% + ungroup() %>% + group_by(Species = forcats::fct_drop(Species)) +#> # A tibble: 100 x 5 +#> # Groups: Species [2] +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 7 3.2 4.7 1.4 versicolor +#> 2 6.4 3.2 4.5 1.5 versicolor +#> 3 6.9 3.1 4.9 1.5 versicolor +#> 4 5.5 2.3 4 1.3 versicolor +#> # ... with 96 more rows ``` # Changes in filter and slice @@ -395,5 +1985,3 @@ iris %>% #> [18] 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 #> [35] 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 ``` - - From 3211590ad274576fad7fabdb219baf7e03ed80d7 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 29 Oct 2018 15:45:00 +0100 Subject: [PATCH 04/32] revert use of gt for now --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 126 +- ...-10-dplyr-0-8-0-release-candidate.markdown | 1616 +---------------- 2 files changed, 87 insertions(+), 1655 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index d07f2d852..47b9a51dd 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -20,45 +20,44 @@ knitr::opts_chunk$set(collapse = T, comment = "#>") options(tibble.print_min = 4L, tibble.print_max = 4L) library(dplyr) # devtools::install_github("rstudio/gt@colorize") -library(gt) - -show_groups <- function(tbl) { - # Get a named list of column labels - col_labels <- - lapply(names(tbl), function(name) { - x <- tbl[[name]] - class_x <- class(x) - - value <- if (class_x == "factor") { - paste0("fctr<", paste0(levels(x), collapse = ","), ">") - } else { - paste0("<", class(x), ">") - } - paste0(name, " ", value) - }) %>% - magrittr::set_names(names(tbl)) - - # Create the gt table - gt(tbl) %>% - cols_label(.list = col_labels) %>% - cols_color_gradient_n( - column = "x", - breaks = c(0, 3), - colors = c("lightblue", "steelblue") - ) %>% - cols_color_manual( - column = "f1", values = c("a", "b", "c"), - colors = c("cornsilk", "bisque", "goldenrod") - ) %>% - cols_color_manual( - column = "f2", values = c("d", "e", "f"), - colors = c("pink", "pink2", "pink3") - ) %>% - cols_color_gradient_n( - column = "n", breaks = c(0, 1), - colors = c("red", "white") - ) -} +# library(gt) +# show_groups <- function(tbl) { +# # Get a named list of column labels +# col_labels <- +# lapply(names(tbl), function(name) { +# x <- tbl[[name]] +# class_x <- class(x) +# +# value <- if (class_x == "factor") { +# paste0("fctr<", paste0(levels(x), collapse = ","), ">") +# } else { +# paste0("<", class(x), ">") +# } +# paste0(name, " ", value) +# }) %>% +# magrittr::set_names(names(tbl)) +# +# # Create the gt table +# gt(tbl) %>% +# cols_label(.list = col_labels) %>% +# cols_color_gradient_n( +# column = "x", +# breaks = c(0, 3), +# colors = c("lightblue", "steelblue") +# ) %>% +# cols_color_manual( +# column = "f1", values = c("a", "b", "c"), +# colors = c("cornsilk", "bisque", "goldenrod") +# ) %>% +# cols_color_manual( +# column = "f2", values = c("d", "e", "f"), +# colors = c("pink", "pink2", "pink3") +# ) %>% +# cols_color_gradient_n( +# column = "n", breaks = c(0, 1), +# colors = c("red", "white") +# ) +# } ``` A new release of dplyr (0.8.0) is on the horizon, and since it is a major release, we'd love for the @@ -95,77 +94,46 @@ match the observed data. This closes the epic issue Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) function: -```{r, results = "hide"} +```{r} df <- tibble( f1 = factor(c("a", "a", "a", "b", "b"), levels = c("a", "b", "c")), f2 = factor(c("d", "e", "d", "e", "f"), levels = c("d", "e", "f")), x = c(1, 1, 1, 2, 2), y = 1:5 ) -``` - -```{r, echo = FALSE} -show_groups(df) -``` - -```{r, results = "hide"} +df df %>% count(f1) ``` -```{r, echo = FALSE} -df %>% - count(f1) %>% - show_groups() -``` - Where previous versions of `dplyr` would have created only two groups (for levels `a` and `b`), it now creates one group per level, and the group related to the level `c` just happens to be empty. Groups are still made to match the data on other types of columns: -```{r, results = "hide"} +```{r} df %>% count(x) ``` -```{r, echo = FALSE} -df %>% - count(x) %>% - show_groups() -``` - Expansion of groups for factors happens at each step of the grouping, so if we group by `f1` and `f2` we get 9 groups, -```{r, results = "hide"} +```{r} df %>% count(f1, f2) ``` -```{r, echo = FALSE} -df %>% - count(f1, f2) %>% - show_groups() -``` - - When factors and non factors are involved in the grouping, the number of groups depends on the order. At each level of grouping, factors are always expanded to one group per level, but non factors only create groups based on observed data. -```{r, results = "hide"} +```{r} df %>% count(f1, x) ``` -```{r, echo = FALSE} -df %>% - count(f1, x) %>% - show_groups() -``` - In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates two groups. Each of these grouops is then subdivided based on the values of the second @@ -176,17 +144,11 @@ The last group, associated with the level `c` of the factor `f1` is empty, and consequently has no values for the vector `x`. In that case, `group_by()` uses `NA`. -```{r, results = "hide"} +```{r} df %>% count(x, f1) ``` -```{r, echo = FALSE} -df %>% - count(x, f1) %>% - show_groups() -``` - When we group by `x` then `f1` we initially split the data according to `x` which gives 2 groups. Each of these two groups is then further divided in 3 groups, i.e. one for each level of `f1`. diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index 1133563b4..c7c68e0c7 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -61,532 +61,25 @@ df <- tibble( x = c(1, 1, 1, 2, 2), y = 1:5 ) -``` - - -
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    f1 fctr<a,b,c>f2 fctr<d,e,f>x <numeric>y <integer>
    ad11
    ae12
    ad13
    be24
    bf25
    - -
    - - -```r +df +#> # A tibble: 5 x 4 +#> f1 f2 x y +#> +#> 1 a d 1 1 +#> 2 a e 1 2 +#> 3 a d 1 3 +#> 4 b e 2 4 +#> # ... with 1 more row df %>% count(f1) +#> # A tibble: 3 x 2 +#> f1 n +#> +#> 1 a 3 +#> 2 b 2 +#> 3 c 0 ``` - -
    - - - - - - - - - - - - - - - - - - - -
    f1 fctr<a,b,c>n <integer>
    a3
    b2
    c0
    - -
    - Where previous versions of `dplyr` would have created only two groups (for levels `a` and `b`), it now creates one group per level, and the group related to the level `c` just happens to be empty. @@ -597,253 +90,13 @@ Groups are still made to match the data on other types of columns: ```r df %>% count(x) +#> # A tibble: 2 x 2 +#> x n +#> +#> 1 1 3 +#> 2 2 2 ``` - -
    - - - - - - - - - - - - - - - -
    x <numeric>n <integer>
    13
    22
    - -
    - Expansion of groups for factors happens at each step of the grouping, so if we group by `f1` and `f2` we get 9 groups, @@ -851,292 +104,16 @@ by `f1` and `f2` we get 9 groups, ```r df %>% count(f1, f2) +#> # A tibble: 9 x 3 +#> f1 f2 n +#> +#> 1 a d 2 +#> 2 a e 1 +#> 3 a f 0 +#> 4 b d 0 +#> # ... with 5 more rows ``` - -
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    f1 fctr<a,b,c>f2 fctr<d,e,f>n <integer>
    ad2
    ae1
    af0
    bd0
    be1
    bf1
    cd0
    ce0
    cf0
    - -
    - - When factors and non factors are involved in the grouping, the number of groups depends on the order. At each level of grouping, factors are always expanded to one group per level, but non factors only create groups based on observed data. @@ -1145,261 +122,14 @@ to one group per level, but non factors only create groups based on observed dat ```r df %>% count(f1, x) +#> # A tibble: 3 x 3 +#> f1 x n +#> +#> 1 a 1 3 +#> 2 b 2 2 +#> 3 c NA 0 ``` - -
    - - - - - - - - - - - - - - - - - - - - - - - -
    f1 fctr<a,b,c>x <numeric>n <integer>
    a 13
    b 22
    cNA0
    - -
    - In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates two groups. Each of these grouops is then subdivided based on the values of the second @@ -1414,276 +144,16 @@ consequently has no values for the vector `x`. In that case, `group_by()` uses ```r df %>% count(x, f1) +#> # A tibble: 6 x 3 +#> x f1 n +#> +#> 1 1 a 3 +#> 2 1 b 0 +#> 3 1 c 0 +#> 4 2 a 0 +#> # ... with 2 more rows ``` - -
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    x <numeric>f1 fctr<a,b,c>n <integer>
    1a3
    1b0
    1c0
    2a0
    2b2
    2c0
    - -
    - When we group by `x` then `f1` we initially split the data according to `x` which gives 2 groups. Each of these two groups is then further divided in 3 groups, i.e. one for each level of `f1`. @@ -1928,7 +398,7 @@ iris %>% # Performance TODO: - - unwind protect + - some initial results in [this issue](https://github.com/tidyverse/dplyr/issues/3881) # nest_by, nest_join From abcac6d4fee294dc721ee49735bce80ef4c93905 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 29 Oct 2018 17:37:05 +0100 Subject: [PATCH 05/32] unwind, nest_* --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 60 ++++++++++++-- ...-10-dplyr-0-8-0-release-candidate.markdown | 75 ++++++++++++++++-- .../timings_summarise_mean.jpeg | Bin 0 -> 54248 bytes 3 files changed, 123 insertions(+), 12 deletions(-) create mode 100644 static/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 47b9a51dd..d5356f519 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -307,16 +307,64 @@ iris %>% # Performance -TODO: - - some initial results in [this issue](https://github.com/tidyverse/dplyr/issues/3881) +When `summarise()` or `mutate()` use expressions that cannot be handled by +hybrid evaluation, they call back to R from the c++ internals for each group. -# nest_by, nest_join +This is an expensive operation because the expressions have to be evaluated +with extra care, traditionally it meant wrapping the expression in an R `tryCatch()` +before evaluating, but R 3.5.0 has added unwind protection and we exposed that to +Rcpp. Consequently, the cost of evaluating an R expression carefully is lower +than before. -TODO +We ran a benchmark of calculating the means of 10 000 small groups with the +release version of dplyr (0.7.7) and this release candidate with and without +using the unwind protect feature. -# colwise verbs +Just using the `mean()` function would not illustrate the feature, because dplyr would +use hybrid evaluation and never use callbacks to R, so instead we defined a `mean_` +function that has the same body as `base::mean()`, we also compare this to +the expression `sum(x) / n()` because it woudld have been handled by +partial hybrid evaluation in previous versions. -TODO +![](/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg) + +The unwind protect feature gives better performance, however +hybrid evaluation is still very relevant. + +# nest_join + +The `nest_join()` function is the newest addition to the join family. + +```{r} +band_members %>% + nest_join(band_instruments) +``` + +A nest join of `x` and `y` returns all rows and all columns from `x`, plus an additional column +that contains a list of tibbles. Each tibble contains all the rows from `y` that match that row of `x`. +When there is no match, the list column is a 0-row tibble with the same column names and types as `y`. + +`nest_join()` is the most fundamental join since you can recreate the other joins from it: + - `inner_join()` is a `nest_join()` plus an `tidyr::unnest()`. + - `left_join()` is a `nest_join()` plus an `unnest(drop = FALSE)`. + - `semi_join()` is a `nest_join()` plus a `filter()` where you check that every element of data has at least one row. + - `anti_join()` is a `nest_join()` plus a `filter()` where you check every element has zero rows. + +# nest_by + +With the new grouping algorithm, dplyr gains the `nest_by()` function, and +associated `nest_by_at()` and `nest_by_if()` column wise variants. `nest_by()` is +similar to `tidyr::nest()` but focuses on the columns that define the grouping +rather than the columns that are nested. + +```{r} +iris %>% + nest_by(Species) +``` + +# column wise verbs + +Mention `last_col()` and `group_cols()` # Tidy grouping structure diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index c7c68e0c7..22a97d812 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -397,16 +397,79 @@ iris %>% # Performance -TODO: - - some initial results in [this issue](https://github.com/tidyverse/dplyr/issues/3881) +When `summarise()` or `mutate()` use expressions that cannot be handled by +hybrid evaluation, they call back to R from the c++ internals for each group. -# nest_by, nest_join +This is an expensive operation because the expressions have to be evaluated +with extra care, traditionally it meant wrapping the expression in an R `tryCatch()` +before evaluating, but R 3.5.0 has added unwind protection and we exposed that to +Rcpp. Consequently, the cost of evaluating an R expression carefully is lower +than before. -TODO +We ran a benchmark of calculating the means of 10 000 small groups with the +release version of dplyr (0.7.7) and this release candidate with and without +using the unwind protect feature. -# colwise verbs +Just using the `mean()` function would not illustrate the feature, because dplyr would +use hybrid evaluation and never use callbacks to R, so instead we defined a `mean_` +function that has the same body as `base::mean()`, we also compare this to +the expression `sum(x) / n()` because it woudld have been handled by +partial hybrid evaluation in previous versions. -TODO +![](/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg) + +The unwind protect feature gives better performance, however +hybrid evaluation is still very relevant. + +# nest_join + +The `nest_join()` function is the newest addition to the join family. + + +```r +band_members %>% + nest_join(band_instruments) +#> Joining, by = "name" +#> # A tibble: 3 x 3 +#> name band band_instruments +#> * +#> 1 Mick Stones +#> 2 John Beatles +#> 3 Paul Beatles +``` + +A nest join of `x` and `y` returns all rows and all columns from `x`, plus an additional column +that contains a list of tibbles. Each tibble contains all the rows from `y` that match that row of `x`. +When there is no match, the list column is a 0-row tibble with the same column names and types as `y`. + +`nest_join()` is the most fundamental join since you can recreate the other joins from it: + - `inner_join()` is a `nest_join()` plus an `tidyr::unnest()`. + - `left_join()` is a `nest_join()` plus an `unnest(drop = FALSE)`. + - `semi_join()` is a `nest_join()` plus a `filter()` where you check that every element of data has at least one row. + - `anti_join()` is a `nest_join()` plus a `filter()` where you check every element has zero rows. + +# nest_by + +With the new grouping algorithm, dplyr gains the `nest_by()` function, and +associated `nest_by_at()` and `nest_by_if()` column wise variants. `nest_by()` is +similar to `tidyr::nest()` but focuses on the columns that define the grouping +rather than the columns that are nested. + + +```r +iris %>% + nest_by(Species) +#> # A tibble: 3 x 2 +#> Species data +#> +#> 1 setosa +#> 2 versicolor +#> 3 virginica +``` + +# column wise verbs + +Mention `last_col()` and `group_cols()` # Tidy grouping structure diff --git a/static/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg b/static/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..5abf0b6ce72c2c6ba47ce2c2f16177678569e1cb GIT binary patch literal 54248 zcmdSB2Urtdw=X<&klsW=0qN4EDj*S+CL)3Y(xrqVgh+3JAWH8bps4gFRXWl;C{m<% zNI;ODfMSFYzQKR$A8%ljEMc``TrvPAAeBWK;5iC@RVQ%+{Vos2GZUDK=#`Dv8y`(P_Tgf z%UZ^b>7)!(&wytXW zAPwpvcD47=_=`^UwZCr&@=t^Oc4w{@;aVp)fI3NP+&u4{@K5ZS^tHcnV&@6}(<94U zcR?DAY7#WmN&Q3~EQcDmI`!V1O=GX!bfD_1pg1JzT0|kHmB_sCh zIyb-(2A_-(ecyW{#%Nhj*adTod%sCn8WdRz5Ns4 z+`l6S{bB@`_LqPD^RiCv6^FkyfptJc3r2v$KPCQ44CsRvI{;pwPFK+1C-LSC_<*v% z-+6x`BIP8#M5_58qWkhm%>SjET$TJLxeCBdE=+!f{1W-C6Z)@vnOqRey8@n7f42>c zkH01U1u4`W>V49m05{-|eOw*v?A^JgBqim!Rlu$f%B|^aEiTG!>Ey)yE6a`B73v0c z^@Q4p11J6F$#np*r}wKrBsx9#56@j20IqI>ZQsy8JYx?4D0Tw?Hkp5TLSS3TnhpSU za@HQMo`2{AJL-M_aI=+``t_TL<~rDZ%^x4{f$bPY0stJvA0HoP9UmWMgZgIypw;QP z6=0+!8X|EbA>sju8Hq?3iHdlfQgL;l@o>HFXWmTlenk8yJG{tZksScJ>aB+}u4py}W&VpFRr?2@MO6 zNJxC1l$`S7WolM-PHtX)!P~-$%Bt#`+Pe4k?H!$6-95b@J`RtJj*U-DPEDiGOUqwY zR==*TV|Vwyec%6q`+0DJiwGe30~UDx1KEGT#R%deCM6{yr8vPwMC^3}oRO65!X z@c%g-&w&F_`QvGThJ*+VCK5&f0vzG9B7}hd;vji}Ws7b+ySV49WKyn*+WYSU_rogtd%g5%y4L>R?h zBNBXa&wCJs?0|%A*)K5Q`E$H8)(8)46mo-`)&jL^ktwU$n+w%mu~Sky-Tp=Ua5yG)Z?ly;y+c2813jor#1wEHHhO zpzjW$66?;Yf3DyT=U*=PlIkk3JN__7xDd+WOrPV>at?$ejLR|qfDsrCw0V#5rg_bZgd zAQava1A98nqu+At9wZ#hJV^Ga^(o~Mcwikt#j<>%?_3=H$Rm+~ zW^ugQNB{#~9Ba{a-kiL?3RCmSqd5Ei)KQ%^N6C@gGYO-)Rua>#Tod>o`^0%y8_fG}MPF&x*D ze6*4ZcIGzDx@5*7{=pmq@(!!CWzB0wR4_Z=R25D(^e|xtX4*afK3<6G0>js9PLtOfiQ2u`8`U}9jGa?X6+hlWbUiDPO$RP*pzWbtZg=HfB1WkF&5V1o-2r~J}aY#a8S6RUyglX)8xxdt!<@@(lDO=nR z@{>2dWEX$QF%Z4ZkUbBvN5*i1Ec-MW?-g<7YTh@$Z zG}Od%M+wo3^NIF9vv|HtvQ?i6FLX%ps`Z8CE=!wDI=W5CLKI8(Q>+?AE3lCne zx@FiBnOr5W#pa_eI{MP5+3pW3UCe$&kiy*Oq+??*auPkY z-7VeiX1KBEsE*4;)6?SVkFt=C=g+Ai(Og?FXECwT__R6q1)AOi|0pv3&y6M6ercdX z>h`MAcuX$VZ@=|3fghoa^Yd(GOt6TY4#@Pf7M_}ahM7%udOUl(7MOD$RZkS}64{51 zF!Wdv=a78Ui@VeS1Jj&=0T4Ue1Xg;8?3O*Pf*QUSoGAr>z>HyxX zUty-|&gYiY3Re3EZwf!E07vJtT4a>j2;*s&Mw_pCQ=>w1mv+eUS|fOO*)z`R?fZt3 zw4A%$A9h&v)=En=>%%*5zurWk-chiIdL3#9jDE(mV&PjCn7oZ4G~Ub)#$eE4+BY-i zk7^X0^ZAP_N+zbS8~2tAQ8wStd~owI}X&VDwUQ4q`; zS*on6 z4@a-aMGq&T4EhGQ9dWr!oc{4>5T(mbcvn7i404HflXp`=i4T zCZV;LTeh`EMCX2Tua@W>URal&!dY}51E=y{^ig!spMI3a^==_yEw>ob*T*kVpEWrQ4gXnnZ-;Qs9vKPu+g#Kdy6GZq3KfDAsv8wx92jXwDj{!&j z#E(7uDd~p`l|KE1vVp^9cz^8<4fY%7do+?3XDgJC6)17Y=}}~jE?tcw^CaQB82_A! z!t$Q|!G0*3j&SA5`NKC`vE%fqHq8DL+t)=n@p8vt2d85bRmc+ZG*^MRB z-GIT>y^#+KE6CbfoXCdu4TIsTc&ahDWhI*wW!6bBe&EOwM@#j*J2xH-AUw(lA6jNY zy9EhMWxNEY!E;}mWsZT^^9y!_-b1bf!2@hd|DoW)LW=V-P&ecAP2xO)r5r2KC6B8v zyfyviwKCmU<0a*gchM8&kEA;uFPq8~vLrq0WGJP>@0dP36i-K|(>$86upF-TQ|ybQ z+RdzsQEy%MEMo5QZF&2s-aPsdygIVi3HDU@rCq$$wNH<;-58{F0Iv-Ct|Bo=7lh#< z?h*#s&MAdeZi1q8SiF4?35@-Q?Yj>02Ldm1ZdYEOkY(e%-91jao5i@fmm}2C-)gyU z*Eu*Pfu`>g(e^|A2yYfB&BRP}vZwDSPA)h=VB^Kv4#{3s6=VGMJVLd^JZ{cAOqMK* zBo=N#XUOlx`H<=jQSdG;klJ%GA?V8xSFyLXz{}C=8>9-iIh@R-I!oq_I=gnsxDVV)xzrOav%gghW!AG-O8(Y#;QD^7EvVzT8 zy(rFOBy6hu- z65zX)waC7P(y=vDiY}d?h0~2jXqfdq3|FU#zu*n5>@zuqn8?yK3iI;l%=xU9kAn42 zxZ}rK<4-lZvKl~pSJ&BvNKpOq`zlz94!;%>u)8K!@&|)-B^M<@Bk`=1%W#CeoOSc18>z9ZtC<$7e6_TUBus;KF9nPic=VBG)_~HDD zS52I{a8{*E=ga3r@txPs(N}DF_zNFwZ|GDsg`n4agVThT4HK9;xHU2oa$?l36;9`e zH9|7097@(b>-}y~sklhpd_b22=e@k2K`)D0ZMVRw6Xd*Sme}^orXi?HBkul+o62f~ zl}MXci7P%c1IK{;7MGXR*34LCPb{AGD6s{lvksww9|Ne1gmJKkaY4bVifm`4ANvU zo|$gvlR_FS-CQnC$9H)!H*j4m>`eTYLI1*|Y)bLadNH(X@F^1W{3irc^}WgN!J*fr zm;cj4bClg~W4e;hyun;UZO=(%88)gMD&lr0mgK_&E+NFQWBH+QB|B*TG*Ml=Sn@1DY~SeKzwKQe&_pMjRQlw62gFS*N?COQCxnSw*#lhKE22kJm^{bmJnxv^k!nSFvLe3&;>A&=5FhvJFZe@(~ zS-wlrQAy}#!rvHcv_@OR&I?v!PnV!~XlsL~s>Ck3Yh+eAKC3^x5t6pGQqQc)k=?MV z-Ef^j+ZP@fK!=BoD5;~i?x91wJ|J}SaK={>ru%e8?!+Et?5cmssV~YMZU2(3cPp#d zC8eVxfm}IOq4{}z>emuK%27^fp&BWP*VYtdoj!B5SFsV*ZfLRA^zuo2xZBvmdwKe> z)>Zk^h@O{Uycv6ciP61#_&0(^eunZQcplCVy7XtI%f$37MSN-$H24tRiiq> z=pkLe;87V;YgJEf$pz=FtHx4b6wr!A z4sI0>UMtAa(Vf+#Ahjw1OJxas8b{|c9(X!JD1$gcxHx58*Zf9)p9{O0sYv796k<)L ztC>^xU&l41xR6AhbajtFq1y4gb8VKgoi4Mpq4rsJ#G0hu^ZJ^7WWB$ZnE>NIR;jM3 z4A8k;qgG{k_9XC*^e|XN5!4_0*0=|pOsRXoBxe&kQJ;GXD-tLV^a}x@tcd@m$MNTX zJEA06+?ieh2giE21`N~SZA@DFl4Hu4>{k7qw+bfHrq&uS5_UDo+M@&Erkztzl9+7f zeZyhP(Ew$xsF1end_vMn|bLX#Us^7?@2kgvoen2L0OyF7 zAjk1IC|P9aI9P%+;i;d-sk07pF4~Wsw{tj3(e<}m(t?zlNd!OTHC6T~vtt%IA=5M0 zFtMGq!V_knWzxyk*^{E9@tQ79aJ!bEX&?Mck_!o!J-g2Y=|dl0s#}4OdTZ^g;vBIu zIEoJArV8Aov0Oad(x+tJVs_H_Q;@Z#O|2nQq$IW=PK6@5i}itcm#MvXsK!weUIh)I z!843Ds+?24h+u`e>%8P5Nl}24C@TR`^*HqCoPpO_!^k z>6QDD4tyn7OJ5djOnXFDvI*W9`R>w4y!7XC2HTvr3W&oUe}3 zxt=<$jC?DAt)_~2iC5)1p?^@bpq$ba82^hlt~c67{drBB}J~t zV!Vfck%hY5`6cN!-$pfQtIBfIO4G|6KVroqS@~7iry(%}A;eu=I_iR>p96g9h~zph z7qtPqb%tWH)Pq(~cen($-6?KLxoo4BaJBQ|d67 zt(m7LXt+mjR1{vaT^$*DWhr5JWm@$mi;r~Z(JsoATkqMEEdwrc1odK(HrHL84{F8) zX5DsRn`@cLSIfqD?Wvx9-Wvg^)akvIAc15%O=z#}SzA~u7aOi&zYg~ltrKFr(}@gG zz5{v=52UV?undW&S%j5+*+spB9Ru#u)Q;&_)b+5-OJ$QOx`^8t^)@*3JT9^GB083J z%Ar1bS^lmOe*~2Qd4f=Ouo2-T^2-=jk|!_EpIIO&T;J<)bUd>c9~SlL>n<6uP|kk8FGV1D)9pMv254og zvGh;Bg~OanP^r_OZJQe#YDc!V&)cMOQ2T}FgbWC}>wR#Jf7^Oy8lXbO0(c%QG7xcI zFcjr)(xCvI<-9QTC1HElVjI!)?mZh@#cQVuuM3?5hv)%Z2zHznx@9`j1Z(&VPoMdf zoxZJ-^QFy!?JJnAGhWr-xpJ;@_&M%H>sQQJUd zjlel?G1ccnyBR+-W#%JX>oO~>@vhf8Is_$Td3G80P-8XV6fS*HCyco>0l_q0ENkii zR;zG5Z(ys`s7wN*-2wN!z|Tn7EaeeyX;{2V!F#BRzlmjgwu9hD!B63W%-D~CPQ7_) z)qMNi4d4Dwx%jv6@|kDeyf=Lq`mgr%1{TJ?>{fQhzU3EFoayc zqRHU*?>#~eb!#0>-d=Akrhmo!PPnynMI3Oe4^+NC)GUK|G~ux&y=dZ{JUrNW&%33Q zouyfTFc6)S&~dXoh6rczf*6Xnt7c3gwZ$PK_5?OW)S7_+BTig8bku^!J;J(B_`_6;(o{hPXG zv5(Xf#PlfVO$#;VAE|~d#G8MF*eyKUSjxkN$%G@Tjd71cBx=o(c1Q=(UBb-Kn^phV zEfeoOe7ZD5ZfkZdodJIe2SvZ(`Jp;qwGp1xG&az*Qkv;^eyk?%nnl&LX->PN0br@x z(47J9-1$UF5gO24lj!Z*hxU3>T_obq)~TQ#>Fg{^D|lyBbL1GPf{B%iEsdB2jqhGJ zFqn;(f4#fHcV@7kAU5Q#HTcxxjIzw^1C!cLe_pigQ2E#!mi5!S4#u-`#?VGDQlId% zH4l~;pH}4*pNiW`Z>i!6T%g9wqFQjORsM2l5%sYPJRonjQ}SVs9^V}VWyf-y9~ya^`cI?KFz_CCGqwBcRZ;yAt`qv=k|s-$rvtGLF@ zPUnIGt@NSTvpA0S1qSypcL}yB|K{%b-NCyW_zyf?Nz}2oknHbzYYx^s&eIJO%N12_mpVtog@*K zqSYdpi>z5RV8FO1wpsS8uX9-$E)V8x!TM`d5mNnsSwY7 zgS+{u2gojENF^p^v#%I`7sHt;5e9SDp)y^chHiEaime+@R_*Uyf!@3DT)3Q%c52{C z@d8`GM+h;(rR0&qY8V0{tz3Kg{pc2~TI5iXR_$S?*Zky+sXFX&rw|P^ycT)d)oq(S zHq_nhUPp>KQ+<`rW@LkUdBPNVFQK2$mX|%aRe$m^&`og*z)@J>UM}fO{Qw)wC*Kqc zoJTsF$pgJz9hQvPk!(%Nrzdix_sksUZWud4B4^l>c`7gNm{U_N&?+qv-4J~CLD^y`lRDx7}?!nmpy zd%6tMye04%o~)_=^Z~rKqCQSAnWi6Bo)`U8P2j^_&um&8*jlwbefL#a4D(6(T#T4} zk8$Nj{ix>E_E$}+%P|Ho>f#ijXtgO0VH>WL6{o-eH-yS?BSJ|NtNZO3U>5!1im=Dr zl%w*pkA=fr_j9W5zC8$be?yWV6J_J ztPtOcnzcg55)`*%(GD+l7U$e#DCT)h9VE&hQ=iUn!&nfb2)GMF#pG0+jh1+{X= z^6Ie<@?kZ)Ypra1Ufluxr_^6eQFWue5;{qi=wk_TxO}WgJETfBG(<_q8ik}sC}8k4 zi4H$bi?|-7%($x*=UJMqis4i9oNs9;%TV%I(qTr(AHA%S2x~qYe+|=> z99r;5x6w*PJeK;J2mjf_;+izaBDxzwTdC^-+yS4EWXgi;Yzpa7RTrK4TPkC9nza0{ zAAICEe4xUp?!#J)Rd?l`^*o#O5nQD?!@A+c$$~kW2XCX2D!N$nKrpX6&B)t`A+tu$F92_R`XjK2Q9uN8Wm69c1J7 zrL_sRM;hEY@!**3_IbKvpvznw*Mdpg?z#8$T5UBh9?LnlRV*r&72)wNTFwW`O+IKxP1w$k*h-}SD1Wl!`kg1N&7B<3pgaqz?ZmF~c{pnOAz}BtY@VF%>?N!2`_JUi z4;VTVh)~mzo-(dEJO|EgNu;P3QjO5YlHy#~8lRuq=QV98zf}0maF<)R&Mi*IbVB=( zbB(}TIYJQXE87@$G->ogQ^skM>N?pwzcg!$B1R0Rd{Gh@Vk2(&+5&|?iT6%}oGyKO zrLlIby9rJ;`klnuvGC`-pV`cVSFsfxA|DcY)tPqs$Ujz+tSK|%>=qY@9nJYB8pRxB z-wZ}NcM-Dkw$Ua&;_v4~J$HMDT6gWF&gd$21RaKv0*HJ;(C!{ggaw=IGKs!LgnE0# z?TfXCGTvo}B7HL>$SEoL?}Pp0bp^_j_<*Ok-{Z=C(2-}|X%*2n^9+OzcAJMfxh-J> zQ5BjVEuYvJMT#z5E4XRx``%XeTi1`x5{$GSR*4|mG-Q{sy<`|_AqhT_v?z&qgt?tU z?SDRDmfC)sU1PK{{EP$n7uS!w?SO%G_Sb3c!fx>##*UdgLq_NxUGjjtd0j1p&owr$AN;g6DVgXKFUKA;updr^u> zVc1NAQZSvqHpN(~JTwsi;JLAKZh#NS4f2i^o?GojtV- zkF>_*)ac%tZo+Y4YVTHjuG%P}(k=`Arno>msg^j%-j=h@s6yNIj*7e2dn@biR*G4R z$VIU@`e+GdCH!NYW{$U8kNMScm=e?u-9qd*FXS&pd(}xbdOO-0j)cfJs>ip>p;RI5e}GR?QvBvV=MJMc&9I2bS`KwdfB;ErlG zWzbTD69x3ApdcMH;f?ZF2VxS_sUDcF`9A97t5By+TGnk-5{>!-HH_iAw-S2!+_}Uw zuGWQ0t~Pk6vd}whO0bOM3lD#uX-5$%XOFAbzdLOSb{{%=Z#(nH2r1t+khvR)=e|q9 zh*j@A22NM&OtZBg0~E?!xV#x~i%CAJM8~-CeL}a$Od@~MTrp!YwFnvMOM-t}Nb4j~ zLxvnjp9chgtJQAGrOdAq`buepog zP?Ut;ANT6;@>&ZkLEfH=q46H?F<@n%#yKj}X(D$0hxVx6{`UH`e!`W_G&aUFR>@Z= zQl%S-bC}eNaMs|?l@2)By0Kgd%8X7-YPDnfcK!MA;N|845kI~JSS~V@vk<=vhj~LN9OM~haaQU z#T5ymRboc%5ZN1#ZI`^o9rnyC1n+EBy^tt_iB(14+SiJ$nBI=LBJe(r;!|(}-=17H z*-q<;MLH@iE3Ig%eXa9U(?j`2AJZ2_wd%Zv@@?n+(f3@$5Q-nN8K`niCmdR;RsQ6f0`}8jROaADuqc<0v4s}0}!xcXX-%6h8Vhk8a zr_31nMytG_Q5S}D)c1G(_(hiEOB3O9(yczFi6CT^sZ4JdKeNUL&zn-p)(kr9#bEq_ zS7%F9IvtPIv`*;v8Iujxo<8D@WXT27cJRSgeod;A2eIx9>$hre`XIt76M^)y1^f*N zY(nWCS`{mXs(4=)bUCk5vMc|3!c9xBnEC1Px$`E=NlASI6C&nE*T`6O|Cb(I$HV`A z&9?($zYv_w=PA0z6JTXij7vlXIGPNOZMOf z9NeeZ>gj76nKkVV*ACUe%x<{l&hWn$p?&tXG*YbCQm!3k<3W2ykL2CJnUyzXV0#l% zqbyyAi-w}K1s1xz94lbvif2v}R7I*n-czl-E@k=h9w2FDA^JJG0~g%v@ygv+#V+A3 zY^EVgUmdwHsZ^f>52x4zxFCC*(r=zC&U`q$G`Hp#j{y4|wkf$-+yQ$JULeT*q4K_3 zdgvhjkY*Jc5D^PLuBKIwj_u4uY4dqk%_VFlPOAL}^9|PeUiH3}hn62xafKUQ3k-bNl!yRU?|bNh z%7Qhy1tz6SsIRiJ^%0IUFlBH~kl;9@TDSYLD*OVJNve`uU)*Rk^@tA~5FYB{UZO}) zZ{+oBhbL!MWg`9ZZxl|Nb-$d0`Pf}jk)eMbSD}VVx>eVsMBg?z)d9MhrbPD2_d54} zxWSl*qW}F@W&-CG@06!~oP)s(?^GDPFcH0UaeCgm*Jv&hKM8ONd)I(#PaXGgb9RLY z;|YXN0M(iti3*ofxG|K_7xUv#N0;d)sCJ7@bg1Ip#juaU#nGu7cxh})*IpOa+8Dc1 zcJ$Q68ne*Bc_CszQ>ozFVZ)4=%Jy=w>9Uo(s$lxd`S17v}*?vgpJorpK zw(QZt9pxS$q$TJy_|rPd+@!N{SW-;WG6$(**o zQ&aoB-5Pz3zR0g;bM{IrZ<_BA#mZ_h!U$c)wQjtK_3GNPXphHvp<9~D^OIIGVovvBs~733SusVF!zxPSR`0nT@1i9Wpgjlp@yZH!%Lb-%$(heB>{ z(rU=IV2!-Im%Oj+dX6DxmQ&Z*_F>^?QNM1TIgvv#gis?cvBZ0?lfe1;`-WEEd8R(? z5x7i|kL9phgt$KYWZlEean!Z@Hz|3~44(PU#e(O@87{rC?dS}UJwd)+Z?I5dwy?JU z!|?RsnToLGq_fXO&bN|uxL#QayxbBSAly`r<0_fQSy_XR*tPup1vTT|8klUkYHY%| zEISYhvm);n1M@Gp$$l-zadcq4sg&8<&ea^8^L?}?l)R@26E+rAzV=`xI6-4lkmz&L z^WB_t>~o{v%y^9txyLrqji==q=h{{>kiuxu%_Qm93aejulI#ZUw5RGkMMAlz zk?rQEM(*7i`j*bJ{`i&F{R_M!)-@y1lSDqen*;|dR~^1pL5RT(xtGX8>#y?WtjT9f zF5rCp_E%~yWbNjUZq8_Z&`F_r>uLGnuwfsYXrcW8=hbmw^@wq;9$J#MzSq?MHG(C| zOh>p-sgjK3lc&DEty2O(x_GJ`W7uI4YC#Kgb^=#9EwnIAO`B;>*fr0)Q#qy5Augwc ztfa0Ds{fR1w~7l0li^KnjHcUrC)sQl&J+aCAkl@0m3eSb z3u#ldK3jI`C^vu?ci7>p-i2hrk#s2wT4SJ zR=Bcis8CUZH#%f^?4Y~==hiXZot^jSpeDu951G}w_rO$#SW`BqLe0wS$>iziR5=@~ zXG}Ry+j#2wk&Cr$JFK`MI4fw{^y%^v)7J6f`FV$$2{x%~*cYkt$r@8HX>2m}G^THT z<71$IiZ@v@b8KHYO}Kyyy*2tuGiI-ci$-iGPkl1oswrmv;;@<$<(!41T@-sRc4uj@ zQ=7TFg#~|Q(Ja8C!epbFbjT)|I?RgjA<~eI3wB9Is!?wE(@kBUii?a@5tF@Vj#!&< zaLnGlk?$};Jxp_o2ehn*Mj?u6>KfL($2sV-9_kdMaCZbNNe~M_4iwJ`F8*lOrnuIG z$qQe6!_=WVnxSRVa7Jdseyfx_>b*u@xHT2e#rR$WQsPg3uLA=D%EFoz)|8pSCGd2d zR*EW2VXuQ%o4qIOVZ-QFy59R4k9^I-F4A;6`EpV%P1_jt=r4kbo~#G=_6@PlMQ`aj za2%awWo@P2_w;JD-asrGYQ_ZKY4zPtzKj|zdD%Qhjmo)qky!v;3Q(J`W}nN#A%iALpng zC6hOyT^%vZ%xmrTJXl}r98LMz%PWBpsp^(6PK9?To6qSZ<+zwVuHdy6EyDEdr{zPt zI&IswruV0KMxa$w^|lR0Z*+e+tJL<1l>e|kd1BvUf8Mc^i$R&&!MJ+-l^2TsoK~jM z4dwTC(5x;8m~Zlsk(q<*O`DfHXvJ}}d25*hOQ=3@w6;h;RRk^~BJ@kW_wIlG*6-JO zkk(M(C|6&6;6!}T1)qgXq3d9~R?@E}p#w|1QLhigcG@k1Q&XZ)xab0$qIx~ntY%Qe zAh~^RXQc1&m9r5|Mj7VKtY;VCP0`w?bK1KW{i6$c#yhf`y{SJX7_aY<|*7A>r$B;Il! zz2I}Rj5sLb(kpZ&v+~!qvh^#&sk&#(BS-0^ngQ6s#l22B+Ph1r+kFAH(Gf_w)EB6h%tc| zz%XUfE9a%)*+~+YLgmvqZA@kB!F(nfP6pP-kcYpC*NlXysMuDixV+r{9yFXaT~z*D zV)F7{KY&0kBBK<>tB^J`jOdWYMr>JVDZJWy+{3HcUWPwD_XVA%Nn(PIdha@A8P8EV z0=e`YW3h?CQWH+w<}bng&>pM%o(*|(v+7qXr%QrAjcBr*ig=jNuEEQ6i_SE8kDARi zAk5oqv8-)};!%QQ8UscyICI_g(+^q?Xx@y;;HpM6$A=Yl_L>!S55X%JUbtJQ2`+MN z&R~`n1)o)&7rFWQTVE{Gnz4ROidR`jUYmn|K+V^;^@iHRh#3{(VR@Agtr_&0|EsrF z{Lkn+9{Kk}a}GoBeU%D)*_=&8r*131wT?a29|XQ-Lc?10e$&LRmZ@T zV{`^xAAxD%z~dO`O+Sj}!XzI9BV`0|op;kQIxA4I5^ZWMHZj$_S7D9(aqY^$)%99D zf6KRxV;~-K$iA9RP`QMhusa5Z3@QsqD!@%iwS+gwT|scKp89WcOZNYRVkB@{$hC=M zfCsrRgKRfB2JW={WIhJUOXVVf%@&jxI7PC+haUrzpMM8ZH!bwvROVJ}gv+VEeT&8} zmzE)tqXpmC-<;&ye++Pj6Aq67{=!kBso(9*{!PpU+_nh)-Q3uJK+1N1zIHz4HxEI6 z!#KgA3V2%lRulHW`_&Z2^50aZmtALF6`O_a`j<-}=+{g0MZZHUMSvl40lCqD{K`{l z|KH^I|08wXg1UIro3h#TAPT;J40wVY;s1$Z({gajxC-GX;d;^k&ua7EN6;L&&r^#K zzF$^}+MI#J z25cR+Oqp7W?*4_wOg`aMF_OK0HHaw*~~eGR}bNcY@ofvaaMFOns|0r^R1H0 z^!38c!U`?E-luM4r1(xiV{a!sofd5J!@PX;_Zu?5&R?h)9>}NPm&^8$nB-@ZV4pUx z^iRHR+QlR}ZS^qC?O7tXv~~er0XsI)VaD59f`k=V;CvTu)YpzWue@lQf16{b?%Mab z*@QLd2C>AeW=&;Je$BfBL|>aJv4yyHF+J)x3jSR8hqn8ZzQ5^E+hNHQTD@MzETy2y zQn23oqmAeZ@i)R{4755*A-B81n)S^mX;W2c({5gG7NJj{uEaW(U zI<$>VCtEe&LE%nQuJPc0QE0->p?>0rga?FAq!(Bv*UQ8;`OXo=(HFWy!kPiBd=j{C zbthbAOJ}goQG?L$!P2mOTHtkO!{+Ogu(Ki4nM}lvx;T5rTnQl2>l?6v+Ic6@W`k-nXLX3FAHE6aAJA+N5 zJ26tyQ4t?8UR|-|xWmqao>0X30+S6!`+Wnp1aqUo^IZ-8%~}QHlAp^v%BHl=eK*v* zEQ^+JsVuF1>rHVJqqSf(`AVCkGZp%2XvayjWU;6_m)Uo_@79@8Kf5cONthpP^Kw<# zg$O0slB1ZQ4*N<<_S)we2QOyRsI@X*8y|KP@5`31nE=J92Ayjf6n^N1pYF#%P5Pmj zOSR!OoaG|@Q%|@hrsYO0=1X(#h2$?{M7ko~#6@zN%fzbANXK>L9ymXF1K3W);0^fJhyERIvb}if zApZuYXel_f(|Z|nG#5YeUCU}DkOSe`ef_Pl2B}n9#%hepIz{Egrv+kV+LKA|E8I+{ zQ?lD;!ZfwJ3vbY*=;p^;PhtSlRl&|LSyed%+xo*w%6V%#q#w&a33;#kdDVgRnEwikr(`k)BxsAaj%8&$*6IE-d5!G zUUUW;>{b4%Bf$2vvBjSzs{aLLh#bb6`!}4wq5SWaC9?(xqfd|a@WBQpPYc%}w)FcU z1G~~`ldSarSK0Yr_=;gXA5>Q z{rf2LtC-o}VLBm#p6PqlK-v8HLZVal*{!528T1fvGd{@#fz=(n8Mk5ygXRt9s+giY zFs_}D`@Y|&|I1DH$7BBt8~&4jJ3$hSh2!gyGdf4fb<>-T;Os{{eIMMW1}&BQH4Krl z_-&R|qzX>rnAwgzkw;{X3jgUa<*(t3Xf57X@Nfs8T%-@q>SDn;9r%u0!q}t#($16F z=rClL(&Auy;efJu`gi)@UQ~fx8bUTB;|j-Yj)9(xV*s2hT+lE0ul~oz37enCawQnkIFYWtS@76f4dU`o8aomC9&tPrKmXM*z%6#Lc zyiIj=Y5TJ8L#8&-??b5HT7|d=8Q4YJM6frgs(*ys?*X?~m6?_C;Pgkp zrnUxhc-40cV9{0mPY>kr_+K@RL(lJi#~V4Kv2V>z-m#U4*{)Krm3RFqs2vSef$y6U z?&>;4x>IV;wD_cHa&uXKwqOqU%w86;j1{l+Ksmlu%@0P%q?U{pA;nTANoM;ADR$?a zK&yARzTBf(xg4l}Pk`TDc?@g5CTlWCTE&`DfIz)Pt-lRj2-V$mc5Ppx|RdILk-SY0;z3=ua-5p@2+Q*>Oy~ z%{Y#huB(3Fl~?n=j~%I(5#g6CPg$nH1~GIf9PrL4!*+oL&ro0sx?Ne7-(zc9*=xrJ zFZMV49945RG``>t@d)4?Dea2`^U->0b*OICGf0-k$Ysm?wfO7u6*ml{aHw#xGf)V= zYB*>|c8{ka(z$f~v{{`1cdNC@)Cm`Y!c9x-&oF1tn`w)?%!uUdGUhi&cNHZ4E-2^Q zp3}xFiVU6#?(N%I#fl|d@wg7B8MFTsd}_a-b$*&a(#1S%Gfr^TIK>#vbpT2~0AZHx zt0tQJ#ov`$71*7=>Jg&SFv^s@QUNc{x)1E8-#Z4xdH&SJftQ|LUo3^X z6kOZ^XsYo0!&m#^-}kL9VyX)~4*3k%D~9$gMAkDs^&{@%r}JOB4jEZ?90 zaNiT*aQFZuM;&K~hx>^8XuLUQ91kgvUuH?u_^vq?_<-^Gy-(oFUPkD!2eVT^utDDTrUj z-B!Y#W7z=qNv5wx{I?G&-yZ%Y-~PPC4t|?r@D@z*67){cQuzU>KX|oq`?_Et2s1u4 z8?>oTT6?FACM|c!=v>a`#*4XkX}0eAT2IWPk!qS_50b^AXhi+(?#;4hjwB$e$CscO zxnx70<>BaU4O)|%7vicRTg_F2v!2jx#;UFg+~T(Bos8B%G|Ldwplc%tdV-^DD_l=B z{T&bQTfvfwD_9Z7!7E#9ifFe^6*l|N$2IwbX=R#GmljA6el+Ul)?}60F5+lel>E60 z?F)@ALTTNNJW}2xpmX;=*1rxi^*IjOU7XZbQ^$P*WW2cu|9p6F2a+|vBy9fWANj$+ zFS~iJr4-}jvAwG}VYL(WPCIOCaT+vTK}Er2<=2K?!o3NFJMj$psPGy_JT758oues6 zUCpn(7D?7?GisrssgH9LJObs=pOJLvkhYq6I{_oIb}kEvE_kCeuD?jB#JA))tZ;Tz zg*Z!bolukA^pUXj;JxP< z6Pu!&qQ1IVV?B&$sVXFoA0H zU5@CMwB_hN_g=-M_&9;p85Kb3vhN7Aus607;=8nIpgNvNQA{8TAvH{s`{2u19fi0h zu{?b@AEA2uovYL6v@rxbg4;N1;kTD21oUNO)I_ zn?g*+F6W9<<4bhVzg_&v29HnuyfR2-Q4@dbd_8*^-$@MxYK}Kw^N_#fBLDn%^e00+ ze;hprT}7@nHGBknkD9F?8u=} z?DC&RlIU0Ybt?3cEOk&yjH7mWmj_FVzE#iMuIi!-a$!CP(G@kw=1Uf?TBhq!`as_* zw=2TM>@nmdCPmMlP~Ww-8ami!&ragW8=Jj0EYB3~-(t!~^)UX4j~rct+tds4%gGh3 zA7nVth@dJ)Jxs>UZrewdj+#Cy%eD-b*Cgp8ZOlyQ!lmkl+RI5e9w<&InCyw5J3=aM zW@8dt>vo+JY%?&AO$+o}NnWRiTEh(o1fTF~oR%f#xzIGGdnx4xk@?|BoW2|;0SL2A zF{O;}@eky9sM)8N22L+QKk6iWFw>g%k!9B!-% z^MtOYVA;L|v&{E00qX+DXqggdSf#-@))yO5p{iB!(xX(&Ec#X0Uu539Fp-tne#zX& zv7IQ_gBbHP+e5v}UK968ECuirgzGLu@D2xxjZcEl5S)-`YIq=RwZr%L5zSd+66~f7 z2_Kq`xBh-)%X#r-HYa!YoW@59t7(bzd?M!g8hXZq4A4C+cv|UO2el(S=f7;^-+IRK zrvkskwEiRojs0&D_-bPOy=4zsl-Hv&_g|k{T79wP5L!q4^spqlaZO)>e}e}gZt&ld z+P||b{sD;f`2i?*`2ds@*p}-(AM3Yuul}3>5fcv!xzi#AL=8rTc! z1ywGQ!OkBt|E7ZeJ4O9hCkg0K(4>rfsZAa$+_J_9NhqhAWps#5`R7#fA5!(7H-YkR z^Eg+#zQ{!@n!+<(n0a1N=+fkM3;d2bAhfgzB#-@AVF&)+Gq=CaK7rqWWAza1-@BP@ zU@b#GFx8pX_o!6FP^ql|s~gdlkidXHd*y7bFngTtvw-!zrUyJJya&zlqONV zQ-z%?$oxXzb49%9!4EeKs@dpeUl=InFgxdd81b9)ydDT@izd6apcOG}P)`Fr{V*Fv zrwTBM+-xy@DRC?le?>E-{6V!LLi{3XwYv6$5&3&mIS}WuP`96Hb#R*AQAEznXeGJ@ z+Ii5QbG|1oZj_PZ4B!Fik)1??f(IZq@Rr`xyZl3OzpwGNF31i+J>a@P0mn?QJ%{!H z^x~TFCNT9ksIwQome}b)x_sc0vdR+;+iJs8N1C^)LyvAb0dS5!;K$=yp&1 zNxxb(@MLb7Xh_A(+6uZZ=2R3(NoEbOYEnORh`6qDagHcm!|3_7?uxlA%9ygSm(?gm zZNHD4u^P!ymPRY9F6CFZ)HW?$R%!ydU{bs9fq32FSl*FVNMkaj>HySi1=qF5Y^ZOK z@9=5;RU7)7T}=k;2#1!7oS#4b=1)mDaneNC*&X5>t?%~CZ^k`E5Hl19Aln1bmR?(q z!1r_P!#()={8Qxjs3Yzi5F`aomUB}8>05y&{|74jH^B3Z+TCEd6l`qANNaU+G~v@W zb5sa$+!(Vj4fzblwG=sd8e;`o_6Oo-R&abJ!(k?iI^&1oAi&grrix2Mtg!&$Q>DGL z#v8!YdI1E{xevogx(*-cd-Foc?swUG^=unLCBYS-2I1w~h)GHSR|DJg0|KwNBYzX< z0|Fl^t8u8UhcGQa0e6z{aTEf(j{!3PvLD5Q3V`$s;N$`43pi8x0j@X<5&HkLhU4VV z3yABtU}g0M1-*Ftt5#u$#HQ?V(_hOte}9H21n14Ng6)O;PnCcia|JOEV7JZybK@4I z22gl);~jFqNji*MV)<_^-=T6}r%k8cenv`6d&dnzL8w*EA?448QX)GIJ>%ZJY&ZbP zo^T9%4E*m8oSpZ7#r==2QvbNbj;Lc45D(8{wG}xfr4eJm`f_Ncx&=kO#C=xXGRjsI z$3n`1h3gQu@V`sc@3W8>05fD@mvhjoXU~1TV3@AKs`&601^oAMfnCm_sFM&AQ9l`!M;ec1j2Zss@H$bjDZmUd*Uvrx-CY;IVBl7= za2z+kkwgl{+&12%0=7_={rs?>o_`JI<}FE1jM2tXgaZeIThPKK99f*R9gzG{5IyK%E@FPzE-`iVqe+nD>XbA^9Z@Jh{JWev$u-HC_*KM;1Tz5J$43+A~BOhs5<# z*XpfBii$!W&q&^NymTg%jVGAvK9igcp{A@fb0Bihcxsj0m3^>2+cVud=l~>AYj18X zI5ZynYRXjAtHZ$(a6@nRVrLq&uT;VOeq6ljU5#Sp{vuRw{3yh|tiC z6ds=QtWOP7-_5UV?VHMPoU!p*hV)$D~4279{(ay|W_bYC8kWqm;|k3qg)mQqhOc8$4#iYiRoBopfH z-ZI1gd~&SWf$EC*WtX9rV+$9A`@Mxd^beilmkS&|;QK0VvY&1HpAG+C9gi>8Gzs4i z^l_ir_d}`Qwur;_d}wjy#W)`xvBE>ozxgBH?=eGNFnSI=4sN>r=g@&F8+6R_sSJ#Z zaY>g*!i5DM)0vC+Ej`lsD}<7UR6yvGO=&zj&PdwOw98U`W~S~V;97~L?sq9qGCJ6E zH?Ow#6^5nG<=(9J66ld~NRori-wkI!$1L73_u0523n*Sf`{6s_TGxnTjo6$)N`#Vj0hg$oZE|9>gRFDIwKiKq``09gBy;E$*~Ffll( zQ@FCQ{iB)qet@6z&jCCR<3gh=oF<@*8{;Rcn!|F9p|YYV)^@WpG7>~WdUPUYm86YJMFtP0nXEoUW}OIQ?L_lgrWW8Hr;z{?<_hkG%L`B5th)Qw^>%g zMYAo-`y+CUvuDS->4aui$^aH;Nyy-KeVP5!jaK{P^AF~jIVw6U)J!rLC|ao;8588K zbpvJtf+IjJVnVBH-i*!@#G3*>ID$A?^lGr^qCFltp2g#$$TvgsmQ^2jifPm#TfT#4 zyje-SU0eV;?z&SGi<*WkGh32}5K6pySo}T4HjO`s5Wpr*YO0v6Gl6bjd>tQrh3##D0soHpMEsFWWs)h)b12%wt)-&Q*8Gq?so1}fp)S(+fv?|1zxtEld?$9)W&iI2J4 z`3U6x1p@f3?b$yLJN{R7iAdH-a&@UbrfuhAz2lP}3z?`xLnR0J-IotQ1I_>dUEzM` zzeB?RvO#?B1nf}-MC;dG!aE;**vf=_*I=E)ATE3WWcp1r0qEm51uC#eA`|$oL@YnX zxh>gS1i+vEG8w48t3MBr$@2xr`pXp1u1=J}oSJfzy6x#Xi8brBfu*~JKl2YxygPEc zHtI8_8$H1tlq<`FE+c1?=$rKliW%1%2Ojt_ObK1>$$3^Vqh)n)*z` zvSl|tlS=m4o+9DHj$1X4EQ>>9*1V&k;ipD*r(ijB++JznPq#ljhO9b?9`~&R za%XEG#I&{j+gf@6ObbRh&vF7@efCvuHtgB)2Ql3#lXXSTwr^KkR;X_evD^Jy1GJR#_yww$)x4i>-z@bvvW`Z>8lc3k z_>;?xAs(s@w$>1u0Eg`QRQNJtC|3bqV9-oTa8dUigu2n8u7ffd+#1T~S+k zwEmCCgpGZLNgpR@^bv7}sZe(O<(XLn!jJZI8i!g!iZ zZ-dHGn^k8#?<@^03vmlL%hz~u7$lqP^Ji8s$m0omWwCmzR-T!s9Ho{EU;y2~s8{}> zOK$qO)|pEiQ*8~9r=n?Cak-<28bcXL4GUKBvUiFin7wyoA(_{;mrU5>Y*8OS{$QhC8 z!B>WsUiDeF^UzyYb?q_S(KKY&FlfEc&rTC@{l)VTGj|AIJU5Ip>Sh#(<;LEj%&dx_ zLnxj?kVd$|!?J?1(HGgWALcCZg%&3>d|+N@boVqX^WDQJE&IdFtfh*DE5y($3Cm;! z%C=KcwbYi;f;^l}1~BTe&)QFbSSXFu@yU=I7G*P~Oz>6uFv^Q+BO%k&KBgzV?n%t1 zxrh~ajSVZfnLpt4ancS|9)Ec0LX+8@2Xd!x|3?tDWm!$SF11&r&Xs{|OL#`oAYF)NE#+#Ov6A|8F}zXiCj zX5-UGX_|^OzpEv)8DbF`oKJ6zfmqRb(d+mF~*+zmAPQuk*wE( zJa4vOf!iusW3D8%5hHE3DVV2*G(%xgBGKJasu@Ox^7s{I>~ierD|DtnU_8E4= zTGSQDV{@V-fT7q=hGn7Xq>hzd&AbpM*m5X7Ye36qSgoQWbdaB4PhBuDl{hYdx3w_( zTtId@rWvg+U!ddEm1<;cwd>-yYHJoaWWkrsqKBXnBJm!e6zP(yG#$yIusM182=Tr? zVL*!B+~VY-K8fq2RKKM~i}16<{?5y5b+R_ci$h8pBzSrmVeJju}qT4@uS5K?=o#Heh~boB=khJ=1-neB^Zuku{5~>XIrJ{h}b1 z5{}ur*X*-zs5gC|Od`l#Z>p&=*6f<)hTo;XukWs`dF<)M)|27hLh9^O?3=ld!OzD@ zk!6Uguo}I~BMXTZ{@pEWU}5X@9CMHP1AacH%pc#Pvm1*35$?)t=;XanqDcs$pl@2l)gtnl6`%YTq||` z=q7$j%4@1zW|B3OSACl_uXEXxxSGwDmU*6SORp&PS#uFXM@P?mV)ZqbeAs=3O*Zsl zEBt}tQIJPCOCv0xjP^Mzdcc2qqwQ*sW|x%Q+iDX_dl5=`jv!xusb!I5h1Wu+bysf& z+f|RwK}lhI=HLc_(>ks&-Ms$$MV(UO?0gyZ=ipg8>sGmrBpnX$xUg5^ZFIrm;YRaB zzEa{g(c#0EV&Qx~s!S!yY#PMsIJgO(mj;K-gA0sRR$;y#$0x#$?x)~Ru9DC1(hk+| zj^Bj`4u7PG=3;5NJ#w<#mMDEHG~HWjRW1hksNc>@aM)tY<+A*iTvCUFBcsxjiWa-% zXTI$hs3-u;cnBMI{Qxx1gA@JPK{Zjv?Hz!&0cSjft{aR1@2?@IzBr3mGGVNkRN=7H zKx0d3dtZlFlq!SL_Ur+uN_)?eLXNY*riD3cKZYAh11_!mDTnmsMd>@_FYyYhotkx zQP%k;Aw`j}Re(>_1BU4by!rp&518;6%(w3C^|*OC;HcZ3!@Q!Den|IFE)S^t(9j5e z8$uFb& zLb!TA$40@-3&7`cjb`*;o0i{q8-3N(uJZ8nUVXslh{rPsO)uv1wuul*V+zs6t)QWX z`y(mN4%N1el6k?i@taxeuADWr3>jO!yQ1&L?Z(Um&)?f=pK2g6k59DDgh8A0b?=&= zzp7oji}1&>cXeFY;Oc(U+_W-mxdD$VgG6-x%7DP$fZ2bn0;R?@L2`F#2UVeC!K)z1 z@rDa(Hiu2sB=V=gX$6)?sT{TPMl5e~nb~z2PL~v8lrSlH&9pF9GDtQYv3fUx>Rd5D z)pGUd%T2_S7di^4u@+llfZ9o4zcmh9GTj{@c8uR{I>3*=*m7bQ&|!*V;Iia;?I1UTJeD(fT98Isva^&{~T0aDs7AdlVg+1T4pvSb<@fO z=m_pO-2uN&B5w?%pJx~gL*`s>G*+TTA{E15v5e8)8*a?BSs^MB-6coSs`eL#`NldG zm4s1+b~jVmU1%mLx&>sF7fF-3iwrRsG@l-z=~87kNResa_6(TUs;YI|?*j7sV3>g? z(Wa_odbizRj+>#PXhpXMW7Q*bTn`I}D_6R$70k?FP?G}VGMOk8(bDvU{u~FIyw3I> z`EgFa>_<8T!?R z1t17K+_7X9VA5nXJU1;<-$SZQj- z^GB)hFs)M|_SG35j45nIcwqR}{QzVok;xrO<*LU4?}}jbd^mWosGpZ|#`^Xv-Y{0P z_=^Finrv#NSlE``KoyIX%kFaV^9p0sY~4UI7gOYiqE5Y5D!F)JL;qD6eQ(|kzt6-j zo=d@=dRdvrZV;+SJx(nA1#k5&1pqLW{{lbs#eDv6>gGS2x=H>zHKsAvC@o8O4~(iW z>@+ZJb`YJ(d&{Vk`ntvsE9HzbRBjTR+VFM0+g$+4FJY!adWx(-{!ivj5}IsnFzI56T6hiQXcDG?$6TtdO1ax zEuiuCecn=@5iW^~L@yK`uY_dJC!Xoff#)zx+GWE|s!#>R3qehMj!B)AW&M2e7_1e- z;30%AdV-8=Ek(uqt?AGz75 zMq^)m+iDS8M(v=jWHiM8Twa1mIg}9du%D;k6p0%@Yp+vGG%GG@<0CNUeY1DYR)5APtWPBllE*rT{dVfZN;N`Ot4Ys=~L(k&z>z${Nv_9&- z$!Pz6+t2{f7Tq*}!*EozuK02@8`=I$=~-5Ag@bV-guII0Ll-qr3-gKf3t17(fz({O z|HgzrW%6auUEgh$a+PfzBMK(O(2P&NXS!>^3F>FrAH&PU4qqTpI!vY#oG* zGiJ~mX}#E;>-)0IEFN1x<>Wg^k4f_kF0N-xM8D0!$QvR$oen@0uItL?=!}4L z23{kQGN_WP036$#WWOw!qKXajpH>M@Ubph&e9TpY3;LQe@@q*3`1Mt1_EgXUexmM` zwAH(!ML9BIsa3^Z{JF8i`}Bqp5_blv%F|+6V~!SOEz@&4YiFRz14YwOX2ro$^!xGs zYqG`N%~>6Mg@S{0!ReQ~l+HKNu~P(_CtjTO`W?}|#q42K00$*Dt?~d=VF65^F%di$ERQCTVqpnh zja2&4fw%UMRR(dyb_mGudn3E{quxR~3ZdK0S^7XvLjFDVTZz5S^n6Xbv}P)K+E%)z z_fR(iURO0i1+mKjo53p3Tu}M<2B!Sz)U9Hm7mR<0`#;t!ac}_)Q6L37v%NFe z&=YUFcg6Nhx7F!C zG_x~TXm?8jGp~XN*;oz7Ja-{1$S~qdOd<8U=@zJW@dl-~#I$nrED>91-^_h@?@uh>-$z8&KVNg(_*6?{6%VC|tSJ5AEqWicOd;Z)MmHiD ze?F%YSON{U0|LY-KF@9gr{Ho{8|p74tN^MwX~=K5f$vv0hJ)UPi3ug$IiY5!A$z)b zi*I~8aveOW^zFe=jSA#_2TxUj3Z(Jl5ASbXyL#C5*zmNz8h3NeBjeUuvAHuOh#7hn zU@U*8xr%e=T*Oh~wR9P3@12c-tPg^XQ7JeIRm9E`6o$D$DEw2Rp0jyvjA9#~M_o&~ zjN1yRQT;32Ic-2lWMLnLZLrsCyoOb~*D3L(M0x@XXBKO_*#sDCLW4~WjvvD}-Q~TRE z)!XlKW$4N;WE)v|WM6k%Au5I|{jL@N8~fOJDBic!;m05H3ch~o?B$)=5_~4Sm$pY5#Y|@erP|9E?%ouWH;f78IVb?~r-bc=byL z!tXaveqHWShx4V3fC&G$R`3YlMu~2{v3cLqMG6*e7=;^r532W)>eyZvw8 zPx4<9Nue0i;3yub! zDNb4HyjlgS))oV~CPlQu$#h7ek{aK;y)+-pIJ*|7VN9-^4ckMr!4;BebNR-WV^XEv zc7*8#A6|Uo%c>=7`51Qgqpl{okN~$hX@}2E0FyuB@jK*@P$QwVQcO7>vb~Q~+f-{~ z)B3~G$&AMI)x>tk8a3R~1#4{|#_%{Er|G_Yj*m7zbv3Llq$o-k4kq!Cjhm$P+hY=Y zS^Rj`HwiVCyo^7rKV)QRDgI(a&5YPrHl%2nxItpF^^GRT><0OLR9JAKF~gw2m?g7^ zy2*q77_IFa((rm9@p|Usy%&U<8eP2`W@cvWC#^Hr*+7)FMDerT6(luAl$fXPu*E7- z>(YwTv0E^vsrg8GYZsBC=q=~y%mOKUb_dB!j3jR=UOna8Ym?SK^i(vtO9&Qb|UkI zwn~@b&y(QAv1<~!Hn6qwmu!r>?{&S$F0VN>icccE6EC5bIxUuMx7q}1E)|6kKIiFR zRN;8NpB0;)B5CK5J3d-RQT32-?afnuS(#bgd(K>;*)4diCzXlb>^bN-CvtWRRH$aU zULDfh^?hw==`QqS?U=o3N#I$=HwCaSbO09gT~T^#^G9JoF72B8ym%KkeD;P?>j16OS+Z2?By-UiDy z;G{hV0SUOQuMmqsV%!{$ZeP_<)I^U-jO&P*L&CdGZtQKAWdNtWGY4LM{>5c#PcDSO z0qVb5fMv6a7RV~-LjYdaQyj(^l|;J0qlDEu0O1~!V<#a1#{ZA|L*nHhfD3>)SarOB z&7PjWc17ThbQbv^xZVG>h>srf&BiZ<%x>Llt*~1UoVD5*B2Ux!Upk7vDUICkq_AJd zmvBtDBCMq9=}^+Yq_gB=XyEis1nM`$xmA>!BN9;@LvXxS8PhJ@3A)I>vCWP@3nj0T zvNRIykCCnH8CETeXJOq*v{IIB)^vWW)p-4wOwt5XN2u4aelIo)8t9-M43e(AdRh%m z5X6f2k{M)&M?aP0>Q|%w)aXJ_g^3wb;3P1e%=IlFy0y?pC92S_cvHoL+}O7!%%wcW zgsDS9g)U^UI9`W(j>~UdKiw?x5Jui#XTqHpV9>vv-D6A~Y`@Bxp;X?duU?Ru^V6gT zADYlS^W+U5f0ub|{4FcN8iG|^#|pQNiMtIu!XMjq{O9%WC;qTLfTi!y;;GGtY%N{M zKD+)&Y*6t6Xd$EX1`)JNfeH@*?;dg@|89!jL%Di?N8D{kY)0agbur5Y`&dDGwzJ;S?)8YZd4QGZ3-Oax z?o$^u|8Cnba_e>4+_uUYns>>gZC+u_gi~w=ayGY~27~A*MzqG-cyR7&2OzJ315nUc zgGv*~0Pd zWeBG1i+Sp7X}msUkKID-88ZGGYRvtfSE_$h1W~}bYSyrYJKFvLJd`Q+qa`474ZTDC z4>{C#S^8eB(8K*t`AN*3Uu^fEM18pLcnJy?OF#PmZ>SNJahMI%5Dyq=L8UnU4vFc?bo2i?fl+sSV=^rwwuIbgsf@8(-y?~ifWUA3XSMJ5(RVz^4+gW`r}yLb zUx$eqCb}2~#V>D+c4z*bU1sVQ5mK(ct*F8Y!W)Twld;I4n05%7% zZU-Yy?6ncYAq+>Ch}(Uv$bg((s8~q3ih^zGURtGV6La6%Ky_=S<^WRBw@kk*F6epS z18BY7_4`dt1O!LlyL-E9cbGVin*@ZiL~IvTRfhFrtZO!3nZg~7?UJWHb{8eCY`b*h zV(s7VD*W0+@jSkB<~L^1VSI3I<4?Lhz=y0aq@nPP8a)6#7OuPuoB{)gVvt8A+Qgt& z#CQqu-ny(PXx0sj$ln7ygQH*viWwXqaba^x0TGBa$ zAi*qSs4_hh5p_?O2DgT-N{&XKI+GsNwBji%p;3;deXWmQm|$LhVS?d-q6PL`Irp7d zc1g75ekLgOmU6Fypkh<>M_iS#GETwb3AUcISIjsWoedNaEsYmHQkt`+Uo`h~>Y%U^ zZZ$))oM=mFCH7r^UPmhy5kKLdK&RShJSNXlFE$m6Ja4kpwh7sg&v>2FYNv-M)6_UOkvd8r#s z9~UATvKAvAo{(cB@b=XIXXvQ^#8Lkj&dMK*j=C|V;`Vns>bsNk-EH=~{P$xo=JvT5 zC=zsCaR6~;*M>~TWQl^Dz4#8Xx8KymtbaHFo#Lw>uMInCi97F8KgiGCy^>t1Z1{mY z_pUjyGJ&^4EEFqw12}2cg{=C136rKN7~kFrWz&H%HQOg@ljM+Ts7t_GGLD$H`|B{z<8bFcnX81myS zzfX+>wud6FnM0lcie1C2jbA>mp<%<=>gnGvz9?#!p9+Hu;N&}-F*x9U^(5k3x5p35 z`p_77pV!ca{3x38(>s21y#Cn=&m9W6j);km4_dPfejc9{Y^aU5Jv~J&|NFP#-`-`m z@7S2$OJ7F#@_wwrDkmdjr#pa|{Gr4D0rmTx6kcGj2E2^Gwd%r4w}5$!5LjBXTQ3Ol zlNcVL%lgeOQ=_)Sz!n{+bX^ly)ld}| zV|Z{nykKbyBHvjDxgV>*#7cJu+i40vmnpo89+}-#6amm_vv0Zc;A- zywd;Ev+V%#8MT zUT>1GyxzSxh!PhsU5|Q`N-iH8>wYfyCp(a!>g$`jX4Uq$_SzH_ zK&rnyF@OEK_tuTyp@5-f8ul#H^7e4)h92yf>Xg5STVyGBzP4ZKYiC5Mss5r{ze9m6 zvl#3-eYcLp(T;5e^IsaEt^R}E(EHpk!V9}(zgj$F#m#lZ`0JC!FJC7o{~iVAV~z9i zE30-^JdbMsQcvplbr=-W9*14tiItj1RE@vR%uG7&@%1U?m#+f@e}@8O#$v`x3B&Ck z2cVn#L*LZt0QCKmsc%DP%!--XvPSfKs5oW2+H3ld=+EnE2Tn*>yl&Syqj0D8BI{|B z3~B4dSe|nHSADfAEs^k!Sfm%lhgqr=C8iT*v`+VX)caf{5PpfIg&4QVS02(C?dvDo zc)Ou7A76hU{lr8F0zJlyP!}EfWvDbX4B%ER4;|ym&Eei3x@)?8nV-4crHU|&__J~2 z5zhV^&{uw*^uU|9pE$I`VNWVLycMp25 z&!cj16pCz2+RA3ZDA*%rvmr2ywwnUz0R$B|4(R~0m%bvb^;dTmSr&2BW7<9#bL0v< z$2CYnf0TJ_xHj>8MQ`Cg_cXtrYKmCGtk^tKFpFEAsUkPd^j;E|O|+yepZ?<30Q97N z6@?OGh`MTzExeRdVvT`hFunN7&4l4v{XCo83yQ}t;uiwIYAr18apM=zwOeDD7niZC zY8~_0-a^kK?OTo2yPgSSrEa`4j49T_S7&&fbf9iN>~8+yeJXd}wF(Ouo1n>WR$$-` zs0Bk}Yo23|n(a*x37wu<%IUrw6pCrD6szpVJ=0#D=I<)?76VUG1DjrA9_}mjyLf!P zA3U(fQ<3Z~0sbzCFBtBe?Y+&gFYxYFuA~#>IEp_>f(lZ@1DGVzCIBeByoC!N$n^fv zb^tK`O?J6!fuIS1#ra=anV$?@B>?#bu47lfIYMs#g=YQx00EeMmc6ro>JQi9R=K>q zK}2-8M~6gUI8B9D4S+|!_bKeV5PnM=euv78NYXqE`(b;k8E(7M6-G4u@EoPuEf?#D zZ7y4F;>+CKs^rlp<=LYn&)U9tzduajcLv0#1RGXGpMX4FWDL<9Pz^G)Y?o=bolR7| zE$dkBY7qeDzo2vxSq@NZe^YSjsW3+MNdZPz?d$odVIvj_!}^Sog=~{hNsEO0;cR43 zF(uw-&q(s*ct0M$@kwLPupe57HdiWUriwF+sSR@3iWZ03`U}0j#%vt(IqsQ-!;JkL zrkWchx%$11KdSEhmZDAqib_`rK+wNx*8B$GIsQ=GKaPt0`s(x>`WQ9s3_iIj*%748 zaw4rWJ^#JmwdgI$ol&Bp)If`Scd4v&pIOiBZx87{saa-xg-?$48phGE?43UV0q#4T zFlN7e7QF>2c#Uf9k%0%t2~~ zB*5<8ccMVde*dwl+uBz_{?>}7mGov!s)YTkq6>ITewB}(Q{hblThk_N zXQy}%0EY#n;HbTT!#l9p0VobQNE2PTb%Tg}qJz{3V`D_pY!bQ5Y&6cBC}!9GkSNCm z*w~K#%HQ8Y!++hxV8?-*YL>O-2Sj$#29irV_avR(8qM|JYfA0kW{8O;hl1m4OrLW` zvE2?8hWpOkE0tMR0J#zcRFPqx)(z0&Tmo2qd+IMaMMIGiG3xANBx;jmT_KITg0I;v zK1o1HitRt9#r2q>!s5`x1C3DY#=*kUjq!pVhRe!!XxGGao(U%76dFNIZP@ti)%&0t-9|UVYX{eGv1kf(M#q znI5%WTXri3K~bTarqe2umos0aYC0eckP{7x+uC(Lv(Qp13${I_#PFWdjv_{*4DP{) zRrNTAE-FpMIM#THyzdhwb5JQz)@^A)ioL9zvHeuw-xvSk<2mBv=by+jPb;{N1z_d& zXwjS@9kmJMz?DZ{tm}4s-J>K+vF@^Jbr(L~k{5aJeJ#9UY5r*m>FGy_+-Q$7qM$wc z$J_zMKsKMHBq+NQtjg-Eq!6mYCSRu97t|nJsZGQLt^)@fli{ctkL|hTaKwqF zpR=~mI-hGE#aHt>_2h7Bgqy>P;hOEIIA5d?*O8g>iBb8w=rO8GMQQX^sO9~lH&S`} zFGCk}?nZDPrw?ON$2P|EDIN$+YwPx=da?3Y#3W7Nxp{Bt|?v*VIvR3o`sxIlTJx2#`O z0XUz>fjt;d=hA~9NGQ#x!C_3`$e86C&+BM+*{p{7YjSA2tOdRMbymmDd5can6Yj&R z=#4yhQ0Adk99COZr+X{3fpl^!cq)%*OSKKti;goPr|Us%%r@mWFEW-$fOf|MVU{k| z5Noo{;ARKg2SMzb4b@#;4Y#9w^8ByQMNPKN{P8bB4HEdm3q^VUhk&4559_cFHy3h1HXAr zgJ)no#r7B56)(7RbK!rG(ndk*nYpaz z_3LT2A~10ZewWcCN*RK*TByR$Di&lNySyc(uOH4lz&~HjC49eQVssiBaMpD*v++3} zJZ50B=V&@V&F&SOw`J>ruLyE`2u}KqK0#PiZ(IEoW%=gU{H=fSf4%|YpL)k%tpgSh zu_PzOwCcY{(Ns?45ZhB4VC3s#y$T%e+KX1up3Z7<%m8a(iTb5Y}zwToKM5y3QhKDj#s8a zYhWM~>UDfPliNOp${Xk4h#nd41*3BnIGTh6(S*zBSGH>mZrxN9gwUER7>SM&Jy+P*p| zx7XSE*pA?P!qDo~GMs46dg#+CjxL+3u5^s{?Y>;6^Bzq-O@WJw6@>vs<%FI+SA(9B zDn69Gp}f7og+E~roLk`I&S2~(p-Zqy>?oP76S?oUB|n0p!_KQN=gs)gRTuW>W}}W$ zRvyVaeB~=XN^aPz9$>V9e}&p4gc@U9JG8&tA7h!RPo`aSsWSa_&LF&XIKS>*?>XO= zg>Dn(c}mTCW)ZW?BqoahZS-329>xBfLI{;B57IbrNi@XzW@L3Vj=7H&bw4eAo>t4H zXdrS_vAvkw)(UksGOO+LNgADPZYpk~Bv+D2@j94yEVOoTDR42L{-))P#6Nf zSs1-~wX6)m;BT=adYtcUBIU<>FW;Rv49`#Dn%dw7q>2N$qn^u%?VU%@q@gLn&x;Z{ z?HMt~S9{WXL`dH8D2u4>Us5e4dqdkJn`6#Zc68d$ot|R2rCKi!d&#TaO9G>st6+)L z*Ad`b!ZFMlou&=H8b-1}vt5=@KU#Qowv9ru_~dhQ+3a#f6)pVLST6i^$fSC$eFz|3 z+X_6S;KW4_!-wN!h3dx^F4Ji5_?m;WD*x>QIWj)oAkMjczU6jie zn_V=C|aa;9hAZ2N?(O=Mzv^B+9ZOA1G@EkN?Bml1Drc%6+`Y6Sy~a0g!4bW_Ci|A53Lep$0HXGc);3=JWPbujI56b3kL`VJI9{}D?V81lX-N6`EWOA&Z?d3hfsX_a2~XPBC#W`7 zv7tF@z$X^PhE|Hxhvdw&<{5GmMdHf+2?Fz6gRb?lv_>3rtcyme@?5FMBc)<~F2#dR z`2ftBxXDFzzy8FFVMwF5*6-xr8K_x^1UXxi@X#-B@>tHOrcjr{Ezjzh#5}%WkYXpg ztwx2nqm8zoBwA*gQr3W`qHpZq>EmoFZVlMod@xi#svAhWZGEDTgQTJ-0`zp0{48yzOg~$JIJyml*^75Fy m)V;DHjdhkwtM?LrC4G5ov&ZqCfv$M(Y=+(4Ob%WD|0VzfoL4~r literal 0 HcmV?d00001 From ea88d8842debb6dcf5d956003783fdefaf35da55 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kirill=20M=C3=BCller?= Date: Tue, 30 Oct 2018 08:14:02 +0100 Subject: [PATCH 06/32] Update content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown Co-Authored-By: romainfrancois --- .../articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index d5356f519..ccc65116e 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -268,7 +268,8 @@ ad-hoc to try to respect standard R evaluation semantics. ## New implementation -The new hybrid system is less greedy and falls back to standard R evaluation +The new hybrid system is stricter and falls back to standard R evaluation + when the expression is not entirely recognized. The `hybrid_call()` function (subject to change) can be used to test if an expression From 8014ef9e60962fb4a3b73141f8e349eac611b102 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kirill=20M=C3=BCller?= Date: Tue, 30 Oct 2018 08:14:15 +0100 Subject: [PATCH 07/32] Update content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown Co-Authored-By: romainfrancois --- .../articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index ccc65116e..475b6e9c7 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -264,7 +264,7 @@ iris %>% The gain of replacing parts of the expression with the result of the hybrid versions was minimal, and the we had to rely on many -ad-hoc to try to respect standard R evaluation semantics. +brittle heuristics to try to respect standard R evaluation semantics. ## New implementation From 17a18b8fbdb2ba7ee067aa99f533da408d165e3b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kirill=20M=C3=BCller?= Date: Tue, 30 Oct 2018 08:14:26 +0100 Subject: [PATCH 08/32] Update content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown Co-Authored-By: romainfrancois --- .../articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 475b6e9c7..d4b6b280e 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -196,7 +196,7 @@ df %>% filter(y < 5, .preserve = FALSE) ``` -Note however, than even `.preserve = FALSE` respects the factors that are used as +Note however, that even `.preserve = FALSE` respects the factors that are used as grouping variables, in particular `filter( , .preserve = FALSE)` is not a way to discard empty groups. The forcats `r emo::ji("package")` may help: From 504028afc04ea1afaaaa608e09c0b8c717f2c803 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Tue, 30 Oct 2018 10:59:44 +0100 Subject: [PATCH 09/32] -many --- .../2018-10-dplyr-0-8-0-release-candidate.Rmarkdown | 2 +- .../2018-10-dplyr-0-8-0-release-candidate.markdown | 9 +++++---- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index d4b6b280e..9228d303e 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -263,7 +263,7 @@ iris %>% ``` The gain of replacing parts of the expression with the result of the -hybrid versions was minimal, and the we had to rely on many +hybrid versions was minimal, and the we had to rely on brittle heuristics to try to respect standard R evaluation semantics. ## New implementation diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index 22a97d812..af3cf356c 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -230,7 +230,7 @@ df %>% #> 4 b e 2 4 ``` -Note however, than even `.preserve = FALSE` respects the factors that are used as +Note however, that even `.preserve = FALSE` respects the factors that are used as grouping variables, in particular `filter( , .preserve = FALSE)` is not a way to discard empty groups. The forcats 📦 may help: @@ -330,12 +330,13 @@ iris %>% ``` The gain of replacing parts of the expression with the result of the -hybrid versions was minimal, and the we had to rely on many -ad-hoc to try to respect standard R evaluation semantics. +hybrid versions was minimal, and the we had to rely on +brittle heuristics to try to respect standard R evaluation semantics. ## New implementation -The new hybrid system is less greedy and falls back to standard R evaluation +The new hybrid system is stricter and falls back to standard R evaluation + when the expression is not entirely recognized. The `hybrid_call()` function (subject to change) can be used to test if an expression From 3b2705e8c355ccaac60d7f00cc8b2bc1a7cc62ae Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Tue, 30 Oct 2018 11:01:35 +0100 Subject: [PATCH 10/32] rephrase --- .../articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown | 5 +++-- .../articles/2018-10-dplyr-0-8-0-release-candidate.markdown | 5 +++-- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 9228d303e..45155ac52 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -297,8 +297,9 @@ match, then we have all the information we need, and R is never called to materialize the result. When there is no match, the expression gets evaluated for each group using R standard -evaluation rules in the data mask: a special environment that makes the columns available -and uses context aware information for functions such as `n()`. +evaluation rules in the data mask: a special environment that makes the +columns available and uses contextual information for functions such as `n()` +and `row_number()`. ```{r} iris %>% diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index af3cf356c..545013433 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -380,8 +380,9 @@ match, then we have all the information we need, and R is never called to materialize the result. When there is no match, the expression gets evaluated for each group using R standard -evaluation rules in the data mask: a special environment that makes the columns available -and uses context aware information for functions such as `n()`. +evaluation rules in the data mask: a special environment that makes the +columns available and uses contextual information for functions such as `n()` +and `row_number()`. ```r From 69f4768fa6f59e6829b397c783da560f7d17b90e Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Fri, 2 Nov 2018 10:35:01 +0100 Subject: [PATCH 11/32] mention split_by() --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 12 +++++ ...-10-dplyr-0-8-0-release-candidate.markdown | 51 +++++++++++++++++-- 2 files changed, 58 insertions(+), 5 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 45155ac52..93acbabef 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -364,6 +364,18 @@ iris %>% nest_by(Species) ``` +# split_by + +The new function `split_by()` and its column wise variants `split_by_at()` and `split_by_if()` +implements a tidy version of split. We anticipate that `split_by()` + `purrr::map()` will +replace the `do()` questioning idiom. + +```{r} +mtcars %>% + split_by(cyl) %>% + purrr::map(~lm(mpg ~ disp, data = .)) +``` + # column wise verbs Mention `last_col()` and `group_cols()` diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index 545013433..824b79534 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -69,7 +69,7 @@ df #> 2 a e 1 2 #> 3 a d 1 3 #> 4 b e 2 4 -#> # ... with 1 more row +#> # … with 1 more row df %>% count(f1) #> # A tibble: 3 x 2 @@ -111,7 +111,7 @@ df %>% #> 2 a e 1 #> 3 a f 0 #> 4 b d 0 -#> # ... with 5 more rows +#> # … with 5 more rows ``` When factors and non factors are involved in the grouping, the number of @@ -151,7 +151,7 @@ df %>% #> 2 1 b 0 #> 3 1 c 0 #> 4 2 a 0 -#> # ... with 2 more rows +#> # … with 2 more rows ``` When we group by `x` then `f1` we initially split the data according to `x` which @@ -177,7 +177,7 @@ df %>% #> 2 1 b NaN #> 3 1 c NaN #> 4 2 a NaN -#> # ... with 2 more rows +#> # … with 2 more rows ``` The expression `mean(y)` is evaluated for the empty groups as well, and gives @@ -249,7 +249,7 @@ iris %>% #> 2 6.4 3.2 4.5 1.5 versicolor #> 3 6.9 3.1 4.9 1.5 versicolor #> 4 5.5 2.3 4 1.3 versicolor -#> # ... with 96 more rows +#> # … with 96 more rows ``` # Changes in filter and slice @@ -469,6 +469,47 @@ iris %>% #> 3 virginica ``` +# split_by + +The new function `split_by()` and its column wise variants `split_by_at()` and `split_by_if()` +implements a tidy version of split. We anticipate that `split_by()` + `purrr::map()` will +replace the `do()` questioning idiom. + + +```r +mtcars %>% + split_by(cyl) %>% + purrr::map(~lm(mpg ~ disp, data = .)) +#> [[1]] +#> +#> Call: +#> lm(formula = mpg ~ disp, data = .) +#> +#> Coefficients: +#> (Intercept) disp +#> 40.8720 -0.1351 +#> +#> +#> [[2]] +#> +#> Call: +#> lm(formula = mpg ~ disp, data = .) +#> +#> Coefficients: +#> (Intercept) disp +#> 19.081987 0.003605 +#> +#> +#> [[3]] +#> +#> Call: +#> lm(formula = mpg ~ disp, data = .) +#> +#> Coefficients: +#> (Intercept) disp +#> 22.03280 -0.01963 +``` + # column wise verbs Mention `last_col()` and `group_cols()` From 654429cd0e5a6286a6de7c9a71d67f557794b08b Mon Sep 17 00:00:00 2001 From: Lionel Henry Date: Mon, 5 Nov 2018 12:19:23 +0100 Subject: [PATCH 12/32] Mention soft-deprecation of funs() --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 25 +++++++++++++++++-- 1 file changed, 23 insertions(+), 2 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 93acbabef..14839fb04 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -376,9 +376,30 @@ mtcars %>% purrr::map(~lm(mpg ~ disp, data = .)) ``` -# column wise verbs +# Scoped variants + +The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. In dplyr 0.7.0, we have implemented support for functions and purrr-style lambda functions: + +```{r} +iris <- as_tibble(iris) # For concise print method + +mutate_if(iris, is.numeric, ~ . - mean(.)) +``` + +And lists of functions and purrr-style lambda functions: + +```{r} +fns <- list( + centered = mean, # Function object + scaled = ~ . - mean(.) / sd(.) # Purrr-style lambda +) +mutate_if(iris, is.numeric, fns) +``` + +This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of common algorithms will kick in just as it did with expressions passed with `funs()`. Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, but will eventually start issuing warnings. + +TODO: Mention `last_col()` and `group_cols()` -Mention `last_col()` and `group_cols()` # Tidy grouping structure From dd620c68b3f7050e871b92630e8feb9c6aacf623 Mon Sep 17 00:00:00 2001 From: Lionel Henry Date: Mon, 5 Nov 2018 12:44:54 +0100 Subject: [PATCH 13/32] Mention new colwise documentation and group_cols() --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 56 ++++++++++++++++++- 1 file changed, 54 insertions(+), 2 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 14839fb04..8d415c0d3 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -378,7 +378,12 @@ mtcars %>% # Scoped variants -The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. In dplyr 0.7.0, we have implemented support for functions and purrr-style lambda functions: +The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. These verbs apply a certain behaviour (for instance, a mutating or summarising operation) to a given selection of column. This release of dplyr improves the consistency of the syntax and the behaviour with grouped tibbles. + + +## A purrr-like syntax for passing functions + +In dplyr 0.7.0, we have implemented support for functions and purrr-style lambda functions: ```{r} iris <- as_tibble(iris) # For concise print method @@ -398,7 +403,54 @@ mutate_if(iris, is.numeric, fns) This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of common algorithms will kick in just as it did with expressions passed with `funs()`. Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, but will eventually start issuing warnings. -TODO: Mention `last_col()` and `group_cols()` + +## Behaviour with grouped tibbles + +We have reviewed the documentation of all scoped variants to make clear how the scoped operations are applied to grouped tibbles. For most of the scoped verbs, the operation also apply on the grouping variables when they are part of the selection. This includes: + +* [arrange_all()], [arrange_at()], and [arrange_if()] +* [distinct_all()], [distinct_at()], and [distinct_if()] +* [filter_all()], [filter_at()], and [filter_if()] +* [group_by_all()], [group_by_at()], and [group_by_if()] +* [select_all()], [select_at()], and [select_if()] + +This is not the case for summarising and mutating variants where operations are *not* applied on grouping variables. The behaviour depends on whether the selection is **implicit** (`all` and `if` selections) or **explicit** (`at` selections). Grouping variables covered by explicit selections (with [summarise_at()], [mutate_at()], and [transmute_at()]) are always an error. For implicit selections, the grouping variables are always ignored. In this case, the level of verbosity depends on the kind of operation: + +* Summarising operations ([summarise_all()] and [summarise_if()]) + ignore grouping variables silently because it is obvious that + operations are not applied on grouping variables. + +* On the other hand it isn't as obvious in the case of mutating operations ([mutate_all()], [mutate_if()], [transmute_all()], and [transmute_if()]). For this reason, they issue a message indicating which grouping variables are ignored. + +In order to make it easier to explicitly remove the grouping columns from an `_at` selection, we have introduced a new selection helper `group_cols()`. Just like `last_col()` matches the last column of a tibble, `group_cols()` matches all grouping columns: + +```{r} +mtcars %>% + group_by(cyl) %>% + select(group_cols()) +``` + +This new helper is mostly intended for selection in scoped variants: + +```{r, error = TRUE} +mtcars %>% + group_by(cyl) %>% + mutate_at( + vars(starts_with("c")), + ~ . - mean(.) + ) +``` + +It makes it easy to remove explicitly the grouping variables: + +```{r} +mtcars %>% + group_by(cyl) %>% + mutate_at( + vars(starts_with("c"), -group_cols()), + ~ . - mean(.) + ) +``` # Tidy grouping structure From 78e81b6ec00b4a6ee23af11f101ddc165c858669 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 5 Nov 2018 13:23:10 +0100 Subject: [PATCH 14/32] render --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 24 +++- ...-10-dplyr-0-8-0-release-candidate.markdown | 133 +++++++++++++++++- 2 files changed, 149 insertions(+), 8 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 8d415c0d3..42668f7d0 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -378,7 +378,9 @@ mtcars %>% # Scoped variants -The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. These verbs apply a certain behaviour (for instance, a mutating or summarising operation) to a given selection of column. This release of dplyr improves the consistency of the syntax and the behaviour with grouped tibbles. +The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. +These verbs apply a certain behaviour (for instance, a mutating or summarising operation) to a given +selection of column. This release of dplyr improves the consistency of the syntax and the behaviour with grouped tibbles. ## A purrr-like syntax for passing functions @@ -401,12 +403,17 @@ fns <- list( mutate_if(iris, is.numeric, fns) ``` -This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of common algorithms will kick in just as it did with expressions passed with `funs()`. Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, but will eventually start issuing warnings. +This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. +Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of +common algorithms will kick in just as it did with expressions passed with `funs()`. +Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, but will eventually start issuing warnings. ## Behaviour with grouped tibbles -We have reviewed the documentation of all scoped variants to make clear how the scoped operations are applied to grouped tibbles. For most of the scoped verbs, the operation also apply on the grouping variables when they are part of the selection. This includes: +We have reviewed the documentation of all scoped variants to make clear how the scoped operations +are applied to grouped tibbles. For most of the scoped verbs, the operation also apply on +the grouping variables when they are part of the selection. This includes: * [arrange_all()], [arrange_at()], and [arrange_if()] * [distinct_all()], [distinct_at()], and [distinct_if()] @@ -414,15 +421,20 @@ We have reviewed the documentation of all scoped variants to make clear how the * [group_by_all()], [group_by_at()], and [group_by_if()] * [select_all()], [select_at()], and [select_if()] -This is not the case for summarising and mutating variants where operations are *not* applied on grouping variables. The behaviour depends on whether the selection is **implicit** (`all` and `if` selections) or **explicit** (`at` selections). Grouping variables covered by explicit selections (with [summarise_at()], [mutate_at()], and [transmute_at()]) are always an error. For implicit selections, the grouping variables are always ignored. In this case, the level of verbosity depends on the kind of operation: +This is not the case for summarising and mutating variants where operations are *not* applied on grouping variables. +The behaviour depends on whether the selection is **implicit** (`all` and `if` selections) or **explicit** (`at` selections). +Grouping variables covered by explicit selections (with [summarise_at()], [mutate_at()], and [transmute_at()]) are always an error. +For implicit selections, the grouping variables are always ignored. In this case, the level of verbosity depends on the kind of operation: * Summarising operations ([summarise_all()] and [summarise_if()]) ignore grouping variables silently because it is obvious that operations are not applied on grouping variables. -* On the other hand it isn't as obvious in the case of mutating operations ([mutate_all()], [mutate_if()], [transmute_all()], and [transmute_if()]). For this reason, they issue a message indicating which grouping variables are ignored. +* On the other hand it isn't as obvious in the case of mutating operations ([mutate_all()], [mutate_if()], [transmute_all()], and [transmute_if()]). + For this reason, they issue a message indicating which grouping variables are ignored. -In order to make it easier to explicitly remove the grouping columns from an `_at` selection, we have introduced a new selection helper `group_cols()`. Just like `last_col()` matches the last column of a tibble, `group_cols()` matches all grouping columns: +In order to make it easier to explicitly remove the grouping columns from an `_at` selection, we have introduced a +new selection helper `group_cols()`. Just like `last_col()` matches the last column of a tibble, `group_cols()` matches all grouping columns: ```{r} mtcars %>% diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index 824b79534..f8c3c3ec6 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -510,9 +510,138 @@ mtcars %>% #> 22.03280 -0.01963 ``` -# column wise verbs +# Scoped variants + +The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. +These verbs apply a certain behaviour (for instance, a mutating or summarising operation) to a given +selection of column. This release of dplyr improves the consistency of the syntax and the behaviour with grouped tibbles. + + +## A purrr-like syntax for passing functions + +In dplyr 0.7.0, we have implemented support for functions and purrr-style lambda functions: + + +```r +iris <- as_tibble(iris) # For concise print method + +mutate_if(iris, is.numeric, ~ . - mean(.)) +#> # A tibble: 150 x 5 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 -0.743 0.443 -2.36 -0.999 setosa +#> 2 -0.943 -0.0573 -2.36 -0.999 setosa +#> 3 -1.14 0.143 -2.46 -0.999 setosa +#> 4 -1.24 0.0427 -2.26 -0.999 setosa +#> # … with 146 more rows +``` + +And lists of functions and purrr-style lambda functions: + + +```r +fns <- list( + centered = mean, # Function object + scaled = ~ . - mean(.) / sd(.) # Purrr-style lambda +) +mutate_if(iris, is.numeric, fns) +#> # A tibble: 150 x 13 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 5.1 3.5 1.4 0.2 setosa +#> 2 4.9 3 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 +#> # … with 146 more rows, and 8 more variables: Sepal.Length_centered , +#> # Sepal.Width_centered , Petal.Length_centered , +#> # Petal.Width_centered , Sepal.Length_scaled , +#> # Sepal.Width_scaled , Petal.Length_scaled , +#> # Petal.Width_scaled +``` + +This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. +Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of +common algorithms will kick in just as it did with expressions passed with `funs()`. +Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, but will eventually start issuing warnings. + + +## Behaviour with grouped tibbles + +We have reviewed the documentation of all scoped variants to make clear how the scoped operations +are applied to grouped tibbles. For most of the scoped verbs, the operation also apply on +the grouping variables when they are part of the selection. This includes: + +* [arrange_all()], [arrange_at()], and [arrange_if()] +* [distinct_all()], [distinct_at()], and [distinct_if()] +* [filter_all()], [filter_at()], and [filter_if()] +* [group_by_all()], [group_by_at()], and [group_by_if()] +* [select_all()], [select_at()], and [select_if()] + +This is not the case for summarising and mutating variants where operations are *not* applied on grouping variables. +The behaviour depends on whether the selection is **implicit** (`all` and `if` selections) or **explicit** (`at` selections). +Grouping variables covered by explicit selections (with [summarise_at()], [mutate_at()], and [transmute_at()]) are always an error. +For implicit selections, the grouping variables are always ignored. In this case, the level of verbosity depends on the kind of operation: + +* Summarising operations ([summarise_all()] and [summarise_if()]) + ignore grouping variables silently because it is obvious that + operations are not applied on grouping variables. + +* On the other hand it isn't as obvious in the case of mutating operations ([mutate_all()], [mutate_if()], [transmute_all()], and [transmute_if()]). + For this reason, they issue a message indicating which grouping variables are ignored. + +In order to make it easier to explicitly remove the grouping columns from an `_at` selection, we have introduced a +new selection helper `group_cols()`. Just like `last_col()` matches the last column of a tibble, `group_cols()` matches all grouping columns: + + +```r +mtcars %>% + group_by(cyl) %>% + select(group_cols()) +#> # A tibble: 32 x 1 +#> # Groups: cyl [3] +#> cyl +#> * +#> 1 6 +#> 2 6 +#> 3 4 +#> 4 6 +#> # … with 28 more rows +``` + +This new helper is mostly intended for selection in scoped variants: + + +```r +mtcars %>% + group_by(cyl) %>% + mutate_at( + vars(starts_with("c")), + ~ . - mean(.) + ) +#> Error: Column `cyl` can't be modified because it's a grouping variable +``` + +It makes it easy to remove explicitly the grouping variables: + + +```r +mtcars %>% + group_by(cyl) %>% + mutate_at( + vars(starts_with("c"), -group_cols()), + ~ . - mean(.) + ) +#> # A tibble: 32 x 11 +#> # Groups: cyl [3] +#> mpg cyl disp hp drat wt qsec vs am gear carb +#> +#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 0.571 +#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 0.571 +#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 -0.545 +#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 -2.43 +#> # … with 28 more rows +``` -Mention `last_col()` and `group_cols()` # Tidy grouping structure From 35dc539e3aabd04c69e356ee81b1911822572a7d Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 5 Nov 2018 15:13:36 +0100 Subject: [PATCH 15/32] plural --- .../articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown | 2 +- content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 42668f7d0..c824335c2 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -380,7 +380,7 @@ mtcars %>% The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. These verbs apply a certain behaviour (for instance, a mutating or summarising operation) to a given -selection of column. This release of dplyr improves the consistency of the syntax and the behaviour with grouped tibbles. +selection of columns. This release of dplyr improves the consistency of the syntax and the behaviour with grouped tibbles. ## A purrr-like syntax for passing functions diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index f8c3c3ec6..662bb4d54 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -514,7 +514,7 @@ mtcars %>% The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. These verbs apply a certain behaviour (for instance, a mutating or summarising operation) to a given -selection of column. This release of dplyr improves the consistency of the syntax and the behaviour with grouped tibbles. +selection of columns. This release of dplyr improves the consistency of the syntax and the behaviour with grouped tibbles. ## A purrr-like syntax for passing functions From 308f80a61765ea8672f34ff5c0d0a35614429f02 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Wed, 7 Nov 2018 09:41:18 +0100 Subject: [PATCH 16/32] Mention the split() method --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 11 ++++++- ...-10-dplyr-0-8-0-release-candidate.markdown | 31 ++++++++++++++++++- 2 files changed, 40 insertions(+), 2 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index c824335c2..78a37ebe8 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -367,7 +367,7 @@ iris %>% # split_by The new function `split_by()` and its column wise variants `split_by_at()` and `split_by_if()` -implements a tidy version of split. We anticipate that `split_by()` + `purrr::map()` will +implements a tidy version of `split()`. We anticipate that `split_by()` + `purrr::map()` will replace the `do()` questioning idiom. ```{r} @@ -376,6 +376,15 @@ mtcars %>% purrr::map(~lm(mpg ~ disp, data = .)) ``` +For convenience, dplyr also now has a `split()` method for grouped tibbles. + +```{r} +iris %>% + filter(Species == "setosa") %>% + group_by(Species) %>% + split() +``` + # Scoped variants The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index 662bb4d54..c41ccce09 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -472,7 +472,7 @@ iris %>% # split_by The new function `split_by()` and its column wise variants `split_by_at()` and `split_by_if()` -implements a tidy version of split. We anticipate that `split_by()` + `purrr::map()` will +implements a tidy version of `split()`. We anticipate that `split_by()` + `purrr::map()` will replace the `do()` questioning idiom. @@ -510,6 +510,35 @@ mtcars %>% #> 22.03280 -0.01963 ``` +For convenience, dplyr also now has a `split()` method for grouped tibbles. + + +```r +iris %>% + filter(Species == "setosa") %>% + group_by(Species) %>% + split() +#> [[1]] +#> # A tibble: 50 x 5 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 5.1 3.5 1.4 0.2 setosa +#> 2 4.9 3 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 +#> # … with 46 more rows +#> +#> [[2]] +#> # A tibble: 0 x 5 +#> # … with 5 variables: Sepal.Length , Sepal.Width , +#> # Petal.Length , Petal.Width , Species +#> +#> [[3]] +#> # A tibble: 0 x 5 +#> # … with 5 variables: Sepal.Length , Sepal.Width , +#> # Petal.Length , Petal.Width , Species +``` + # Scoped variants The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. From 127c9700c2040633595f3e2a2e76ab6153aee88f Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 12 Nov 2018 15:53:08 +0100 Subject: [PATCH 17/32] minor edits --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 49 ++----------------- ...-10-dplyr-0-8-0-release-candidate.markdown | 10 ++-- 2 files changed, 10 insertions(+), 49 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 78a37ebe8..115ae5514 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -19,45 +19,6 @@ photo: knitr::opts_chunk$set(collapse = T, comment = "#>") options(tibble.print_min = 4L, tibble.print_max = 4L) library(dplyr) -# devtools::install_github("rstudio/gt@colorize") -# library(gt) -# show_groups <- function(tbl) { -# # Get a named list of column labels -# col_labels <- -# lapply(names(tbl), function(name) { -# x <- tbl[[name]] -# class_x <- class(x) -# -# value <- if (class_x == "factor") { -# paste0("fctr<", paste0(levels(x), collapse = ","), ">") -# } else { -# paste0("<", class(x), ">") -# } -# paste0(name, " ", value) -# }) %>% -# magrittr::set_names(names(tbl)) -# -# # Create the gt table -# gt(tbl) %>% -# cols_label(.list = col_labels) %>% -# cols_color_gradient_n( -# column = "x", -# breaks = c(0, 3), -# colors = c("lightblue", "steelblue") -# ) %>% -# cols_color_manual( -# column = "f1", values = c("a", "b", "c"), -# colors = c("cornsilk", "bisque", "goldenrod") -# ) %>% -# cols_color_manual( -# column = "f2", values = c("d", "e", "f"), -# colors = c("pink", "pink2", "pink3") -# ) %>% -# cols_color_gradient_n( -# column = "n", breaks = c(0, 1), -# colors = c("red", "white") -# ) -# } ``` A new release of dplyr (0.8.0) is on the horizon, and since it is a major release, we'd love for the @@ -134,7 +95,6 @@ df %>% count(f1, x) ``` - In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates two groups. Each of these grouops is then subdivided based on the values of the second variable `x`. Since `x` is always 1 when `f1` is `a` the group is not @@ -188,7 +148,8 @@ groups. Because this is potentially disruptive, `filter()` has gained a `.preserve` argument, the default value (`TRUE`) keeps the existing groups, but -when `.preserve` is `FALSE` the data is first filtered and then grouped by: +when `.preserve` is `FALSE` the data is first filtered and then implicitely +grouped by: ```{r} df %>% @@ -394,7 +355,7 @@ selection of columns. This release of dplyr improves the consistency of the synt ## A purrr-like syntax for passing functions -In dplyr 0.7.0, we have implemented support for functions and purrr-style lambda functions: +In dplyr 0.8.0, we have implemented support for functions and purrr-style lambda functions: ```{r} iris <- as_tibble(iris) # For concise print method @@ -415,8 +376,8 @@ mutate_if(iris, is.numeric, fns) This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of common algorithms will kick in just as it did with expressions passed with `funs()`. -Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, but will eventually start issuing warnings. - +Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, +but will eventually start issuing warnings. ## Behaviour with grouped tibbles diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index c41ccce09..c2b2aee25 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -130,7 +130,6 @@ df %>% #> 3 c NA 0 ``` - In this example, we group by `f1` then `x`. At the first layer, grouping on `f1` creates two groups. Each of these grouops is then subdivided based on the values of the second variable `x`. Since `x` is always 1 when `f1` is `a` the group is not @@ -213,7 +212,8 @@ groups. Because this is potentially disruptive, `filter()` has gained a `.preserve` argument, the default value (`TRUE`) keeps the existing groups, but -when `.preserve` is `FALSE` the data is first filtered and then grouped by: +when `.preserve` is `FALSE` the data is first filtered and then implicitely +grouped by: ```r @@ -548,7 +548,7 @@ selection of columns. This release of dplyr improves the consistency of the synt ## A purrr-like syntax for passing functions -In dplyr 0.7.0, we have implemented support for functions and purrr-style lambda functions: +In dplyr 0.8.0, we have implemented support for functions and purrr-style lambda functions: ```r @@ -591,8 +591,8 @@ mutate_if(iris, is.numeric, fns) This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of common algorithms will kick in just as it did with expressions passed with `funs()`. -Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, but will eventually start issuing warnings. - +Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, +but will eventually start issuing warnings. ## Behaviour with grouped tibbles From c2a3ea2706006be6063c8c82afa71dc3ef637c8f Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 19 Nov 2018 11:54:17 +0100 Subject: [PATCH 18/32] added scetion about new grouping functions --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 136 ++++---- ...-10-dplyr-0-8-0-release-candidate.markdown | 322 ++++++++++-------- 2 files changed, 260 insertions(+), 198 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 115ae5514..bec0f1f2b 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -169,6 +169,82 @@ iris %>% group_by(Species = forcats::fct_drop(Species)) ``` +## New grouping fuctions + +The grouping family is extended with new functions: + + - `group_nest()` : similar to `tidyr::nest()` but focusing on the grouping columns + rather than the columns to nest + - `group_split()` : similar to `base::split()` but the grouping is subject to the data mask + - `group_keys()` : retrieves a tibble with one row per group and one column per grouping variable + - `group_rows()` : retrieves a list of 1-based integer vectors, each vector represents the indices + of the group in the grouped data frame + +The primary use case for these functions is with already grouped data frames, that may directly +or indirectly originate from `group_by()`. + +```{r} +data <- iris %>% + group_by(Species) %>% + filter(Sepal.Length > mean(Sepal.Length)) + +group_nest(data) +group_split(data) +group_keys(data) +group_rows(data) +``` + +Alternatively, these functions may be used on an ungrouped data frame, together with a +grouping specification that is subject to the data mask. In that case, the grouping is +implicitly performed by `group_by()`: + +```{r} +iris %>% + group_nest(Species) + +iris %>% + group_split(Species) + +iris %>% + group_keys(Species) +``` + +These functions are related to each other in how they handle and organize the +grouping information and who/what is responsible for maintaining the relation between the +data and the groups. + + - A grouped data frame, as generated by `group_by()` stores the grouping information + as an attribute of the data frame, dplyr verbs use that information to maintain + the relationship + + - When using `group_nest()` the data is structured as a data frame that has a list column + to hold the non grouping columns. The result of `group_nest()` is not a grouped data frame, + therefore the structure of the data frame maintains the relationship. + + - When using `group_split()` the data is split into a list, and each element of the list + contains a tibble with the rows of the associated group. The user is responsible to + maintain the relationship, and may benefit from the assistance of the `group_keys()` + function, especially in the presence of empty groups. + +## group_map + +The new `group_map()` function provides a purrr style function that can be used to +iterate on grouped tibbles. Each conceptual group of the data frame is exposed to the +function with two pieces of information: + + - The subset of the data for the group, exposed as `.x`. + - The key, a tibble with exactly one row and columns for each grouping variable, + exposed as `.y` + +```{r} +group_by(mtcars, cyl) %>% + group_map(~ head(.x, 2L)) + +mtcars %>% + group_by(cyl) %>% + group_map(~ mutate(.y, mod = list(lm(mpg ~ disp, data = .x)))) +``` + # Changes in filter and slice Besides changes described previously related to preservation of the grouping structure, @@ -313,39 +389,6 @@ When there is no match, the list column is a 0-row tibble with the same column n - `semi_join()` is a `nest_join()` plus a `filter()` where you check that every element of data has at least one row. - `anti_join()` is a `nest_join()` plus a `filter()` where you check every element has zero rows. -# nest_by - -With the new grouping algorithm, dplyr gains the `nest_by()` function, and -associated `nest_by_at()` and `nest_by_if()` column wise variants. `nest_by()` is -similar to `tidyr::nest()` but focuses on the columns that define the grouping -rather than the columns that are nested. - -```{r} -iris %>% - nest_by(Species) -``` - -# split_by - -The new function `split_by()` and its column wise variants `split_by_at()` and `split_by_if()` -implements a tidy version of `split()`. We anticipate that `split_by()` + `purrr::map()` will -replace the `do()` questioning idiom. - -```{r} -mtcars %>% - split_by(cyl) %>% - purrr::map(~lm(mpg ~ disp, data = .)) -``` - -For convenience, dplyr also now has a `split()` method for grouped tibbles. - -```{r} -iris %>% - filter(Species == "setosa") %>% - group_by(Species) %>% - split() -``` - # Scoped variants The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. @@ -433,30 +476,3 @@ mtcars %>% ~ . - mean(.) ) ``` - - -# Tidy grouping structure - -Previous versions of `dplyr` used a messy set of attributes in grouped -tibbles to keep track of the groups and their indices. This has been -re-organized into a tibble that can be accessed with the new -`group_data()` function. - -```{r} -iris %>% - group_by(Species) %>% - group_data() -``` - -The first columns of that tibble describe the groups in terms of the -grouping variables, and the last column (always called `.rows`) -is a list of integer vectors identifying the (one-based) indices of -each group. - -The related function `group_rows()` gives just that last column. - -```{r} -iris %>% - group_by(Species) %>% - group_rows() -``` diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index c2b2aee25..a10dc1fd5 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -252,6 +252,190 @@ iris %>% #> # … with 96 more rows ``` +## New grouping fuctions + +The grouping family is extended with new functions: + + - `group_nest()` : similar to `tidyr::nest()` but focusing on the grouping columns + rather than the columns to nest + - `group_split()` : similar to `base::split()` but the grouping is subject to the data mask + - `group_keys()` : retrieves a tibble with one row per group and one column per grouping variable + - `group_rows()` : retrieves a list of 1-based integer vectors, each vector represents the indices + of the group in the grouped data frame + +The primary use case for these functions is with already grouped data frames, that may directly +or indirectly originate from `group_by()`. + + +```r +data <- iris %>% + group_by(Species) %>% + filter(Sepal.Length > mean(Sepal.Length)) + +group_nest(data) +#> # A tibble: 3 x 2 +#> Species data +#> +#> 1 setosa +#> 2 versicolor +#> 3 virginica +group_split(data) +#> [[1]] +#> # A tibble: 22 x 5 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 5.1 3.5 1.4 0.2 setosa +#> 2 5.4 3.9 1.7 0.4 setosa +#> 3 5.4 3.7 1.5 0.2 setosa +#> 4 5.8 4 1.2 0.2 setosa +#> # … with 18 more rows +#> +#> [[2]] +#> # A tibble: 24 x 5 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 7 3.2 4.7 1.4 versicolor +#> 2 6.4 3.2 4.5 1.5 versicolor +#> 3 6.9 3.1 4.9 1.5 versicolor +#> 4 6.5 2.8 4.6 1.5 versicolor +#> # … with 20 more rows +#> +#> [[3]] +#> # A tibble: 22 x 5 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 7.1 3 5.9 2.1 virginica +#> 2 7.6 3 6.6 2.1 virginica +#> 3 7.3 2.9 6.3 1.8 virginica +#> 4 6.7 2.5 5.8 1.8 virginica +#> # … with 18 more rows +group_keys(data) +#> # A tibble: 3 x 1 +#> Species +#> +#> 1 setosa +#> 2 versicolor +#> 3 virginica +group_rows(data) +#> [[1]] +#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 +#> +#> [[2]] +#> [1] 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 +#> [24] 46 +#> +#> [[3]] +#> [1] 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 +``` + +Alternatively, these functions may be used on an ungrouped data frame, together with a +grouping specification that is subject to the data mask. In that case, the grouping is +implicitly performed by `group_by()`: + + +```r +iris %>% + group_nest(Species) +#> # A tibble: 3 x 2 +#> Species data +#> +#> 1 setosa +#> 2 versicolor +#> 3 virginica + +iris %>% + group_split(Species) +#> [[1]] +#> # A tibble: 50 x 5 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 5.1 3.5 1.4 0.2 setosa +#> 2 4.9 3 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 +#> # … with 46 more rows +#> +#> [[2]] +#> # A tibble: 50 x 5 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 7 3.2 4.7 1.4 versicolor +#> 2 6.4 3.2 4.5 1.5 versicolor +#> 3 6.9 3.1 4.9 1.5 versicolor +#> 4 5.5 2.3 4 1.3 versicolor +#> # … with 46 more rows +#> +#> [[3]] +#> # A tibble: 50 x 5 +#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species +#> +#> 1 6.3 3.3 6 2.5 virginica +#> 2 5.8 2.7 5.1 1.9 virginica +#> 3 7.1 3 5.9 2.1 virginica +#> 4 6.3 2.9 5.6 1.8 virginica +#> # … with 46 more rows + +iris %>% + group_keys(Species) +#> # A tibble: 3 x 1 +#> Species +#> +#> 1 setosa +#> 2 versicolor +#> 3 virginica +``` + +These functions are related to each other in how they handle and organize the +grouping information and who/what is responsible for maintaining the relation between the +data and the groups. + + - A grouped data frame, as generated by `group_by()` stores the grouping information + as an attribute of the data frame, dplyr verbs use that information to maintain + the relationship + + - When using `group_nest()` the data is structured as a data frame that has a list column + to hold the non grouping columns. The result of `group_nest()` is not a grouped data frame, + therefore the structure of the data frame maintains the relationship. + + - When using `group_split()` the data is split into a list, and each element of the list + contains a tibble with the rows of the associated group. The user is responsible to + maintain the relationship, and may benefit from the assistance of the `group_keys()` + function, especially in the presence of empty groups. + +## group_map + +The new `group_map()` function provides a purrr style function that can be used to +iterate on grouped tibbles. Each conceptual group of the data frame is exposed to the +function with two pieces of information: + + - The subset of the data for the group, exposed as `.x`. + - The key, a tibble with exactly one row and columns for each grouping variable, + exposed as `.y` + + +```r +group_by(mtcars, cyl) %>% + group_map(~ head(.x, 2L)) +#> # A tibble: 6 x 11 +#> mpg cyl disp hp drat wt qsec vs am gear carb +#> +#> 1 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 +#> 2 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 +#> 3 21 6 160 110 3.9 2.62 16.5 0 1 4 4 +#> 4 21 6 160 110 3.9 2.88 17.0 0 1 4 4 +#> # … with 2 more rows + +mtcars %>% + group_by(cyl) %>% + group_map(~ mutate(.y, mod = list(lm(mpg ~ disp, data = .x)))) +#> # A tibble: 3 x 2 +#> cyl mod +#> +#> 1 4 +#> 2 6 +#> 3 8 +``` + # Changes in filter and slice Besides changes described previously related to preservation of the grouping structure, @@ -450,95 +634,6 @@ When there is no match, the list column is a 0-row tibble with the same column n - `semi_join()` is a `nest_join()` plus a `filter()` where you check that every element of data has at least one row. - `anti_join()` is a `nest_join()` plus a `filter()` where you check every element has zero rows. -# nest_by - -With the new grouping algorithm, dplyr gains the `nest_by()` function, and -associated `nest_by_at()` and `nest_by_if()` column wise variants. `nest_by()` is -similar to `tidyr::nest()` but focuses on the columns that define the grouping -rather than the columns that are nested. - - -```r -iris %>% - nest_by(Species) -#> # A tibble: 3 x 2 -#> Species data -#> -#> 1 setosa -#> 2 versicolor -#> 3 virginica -``` - -# split_by - -The new function `split_by()` and its column wise variants `split_by_at()` and `split_by_if()` -implements a tidy version of `split()`. We anticipate that `split_by()` + `purrr::map()` will -replace the `do()` questioning idiom. - - -```r -mtcars %>% - split_by(cyl) %>% - purrr::map(~lm(mpg ~ disp, data = .)) -#> [[1]] -#> -#> Call: -#> lm(formula = mpg ~ disp, data = .) -#> -#> Coefficients: -#> (Intercept) disp -#> 40.8720 -0.1351 -#> -#> -#> [[2]] -#> -#> Call: -#> lm(formula = mpg ~ disp, data = .) -#> -#> Coefficients: -#> (Intercept) disp -#> 19.081987 0.003605 -#> -#> -#> [[3]] -#> -#> Call: -#> lm(formula = mpg ~ disp, data = .) -#> -#> Coefficients: -#> (Intercept) disp -#> 22.03280 -0.01963 -``` - -For convenience, dplyr also now has a `split()` method for grouped tibbles. - - -```r -iris %>% - filter(Species == "setosa") %>% - group_by(Species) %>% - split() -#> [[1]] -#> # A tibble: 50 x 5 -#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species -#> -#> 1 5.1 3.5 1.4 0.2 setosa -#> 2 4.9 3 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 -#> # … with 46 more rows -#> -#> [[2]] -#> # A tibble: 0 x 5 -#> # … with 5 variables: Sepal.Length , Sepal.Width , -#> # Petal.Length , Petal.Width , Species -#> -#> [[3]] -#> # A tibble: 0 x 5 -#> # … with 5 variables: Sepal.Length , Sepal.Width , -#> # Petal.Length , Petal.Width , Species -``` - # Scoped variants The scoped (or colwise) verbs are the set of verbs with `_at`, `_if` and `_all` suffixes. @@ -670,52 +765,3 @@ mtcars %>% #> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 -2.43 #> # … with 28 more rows ``` - - -# Tidy grouping structure - -Previous versions of `dplyr` used a messy set of attributes in grouped -tibbles to keep track of the groups and their indices. This has been -re-organized into a tibble that can be accessed with the new -`group_data()` function. - - -```r -iris %>% - group_by(Species) %>% - group_data() -#> # A tibble: 3 x 2 -#> Species .rows -#> -#> 1 setosa -#> 2 versicolor -#> 3 virginica -``` - -The first columns of that tibble describe the groups in terms of the -grouping variables, and the last column (always called `.rows`) -is a list of integer vectors identifying the (one-based) indices of -each group. - -The related function `group_rows()` gives just that last column. - - -```r -iris %>% - group_by(Species) %>% - group_rows() -#> [[1]] -#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 -#> [24] 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 -#> [47] 47 48 49 50 -#> -#> [[2]] -#> [1] 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 -#> [18] 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 -#> [35] 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 -#> -#> [[3]] -#> [1] 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 -#> [18] 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 -#> [35] 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 -``` From e55f49c8bd7c2eb32909a002ddc86558c7491a25 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Tue, 20 Nov 2018 08:22:00 +0100 Subject: [PATCH 19/32] mention article from Kieran Healy --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 4 +- ...-10-dplyr-0-8-0-release-candidate.markdown | 37 ++++++++++++------- 2 files changed, 26 insertions(+), 15 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index bec0f1f2b..1abfe7ff3 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -50,7 +50,9 @@ The algorithm behind `group_by()` has been redesigned to better respect factor l a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to match the observed data. This closes the epic issue -[341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014. +[341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014, and has generated +a lot of press and frustration, see [Zero Counts in dplyr](https://kieranhealy.org/blog/archives/2018/11/19/zero-counts-in-dplyr/) +for a recent walkthrough of the issue. Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) function: diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index a10dc1fd5..f56c901f2 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -48,7 +48,9 @@ The algorithm behind `group_by()` has been redesigned to better respect factor l a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to match the observed data. This closes the epic issue -[341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014. +[341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014, and has generated +a lot of press and frustration, see [Zero Counts in dplyr](https://kieranhealy.org/blog/archives/2018/11/19/zero-counts-in-dplyr/) +for a recent walkthrough of the issue. Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) function: @@ -73,6 +75,7 @@ df df %>% count(f1) #> # A tibble: 3 x 2 +#> # Groups: [1] #> f1 n #> #> 1 a 3 @@ -91,6 +94,7 @@ Groups are still made to match the data on other types of columns: df %>% count(x) #> # A tibble: 2 x 2 +#> # Groups: [1] #> x n #> #> 1 1 3 @@ -105,6 +109,7 @@ by `f1` and `f2` we get 9 groups, df %>% count(f1, f2) #> # A tibble: 9 x 3 +#> # Groups: [1] #> f1 f2 n #> #> 1 a d 2 @@ -123,6 +128,7 @@ to one group per level, but non factors only create groups based on observed dat df %>% count(f1, x) #> # A tibble: 3 x 3 +#> # Groups: [1] #> f1 x n #> #> 1 a 1 3 @@ -144,6 +150,7 @@ consequently has no values for the vector `x`. In that case, `group_by()` uses df %>% count(x, f1) #> # A tibble: 6 x 3 +#> # Groups: [1] #> x f1 n #> #> 1 1 a 3 @@ -416,24 +423,26 @@ function with two pieces of information: ```r group_by(mtcars, cyl) %>% group_map(~ head(.x, 2L)) -#> # A tibble: 6 x 11 -#> mpg cyl disp hp drat wt qsec vs am gear carb -#> -#> 1 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 -#> 2 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 -#> 3 21 6 160 110 3.9 2.62 16.5 0 1 4 4 -#> 4 21 6 160 110 3.9 2.88 17.0 0 1 4 4 +#> # A tibble: 6 x 12 +#> # Groups: cyl [3] +#> cyl mpg cyl1 disp hp drat wt qsec vs am gear carb +#> * +#> 1 4 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 +#> 2 4 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 +#> 3 6 21 6 160 110 3.9 2.62 16.5 0 1 4 4 +#> 4 6 21 6 160 110 3.9 2.88 17.0 0 1 4 4 #> # … with 2 more rows mtcars %>% group_by(cyl) %>% group_map(~ mutate(.y, mod = list(lm(mpg ~ disp, data = .x)))) -#> # A tibble: 3 x 2 -#> cyl mod -#> -#> 1 4 -#> 2 6 -#> 3 8 +#> # A tibble: 3 x 3 +#> # Groups: cyl [3] +#> cyl cyl1 mod +#> * +#> 1 4 4 +#> 2 6 6 +#> 3 8 8 ``` # Changes in filter and slice From 2ab9827083bc4338af7c9806524a3853f5974df9 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 11:39:05 +0100 Subject: [PATCH 20/32] adapt to changes in `group_map()` --- ...10-dplyr-0-8-0-release-candidate.Rmarkdown | 9 ++-- ...-10-dplyr-0-8-0-release-candidate.markdown | 47 ++++++++++--------- 2 files changed, 31 insertions(+), 25 deletions(-) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown index 1abfe7ff3..983172c88 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown @@ -228,7 +228,7 @@ data and the groups. maintain the relationship, and may benefit from the assistance of the `group_keys()` function, especially in the presence of empty groups. -## group_map +## Iterate on grouped tibbles by group The new `group_map()` function provides a purrr style function that can be used to iterate on grouped tibbles. Each conceptual group of the data frame is exposed to the @@ -239,14 +239,17 @@ function with two pieces of information: exposed as `.y` ```{r} -group_by(mtcars, cyl) %>% +mtcars %>% + group_by(cyl) %>% group_map(~ head(.x, 2L)) mtcars %>% group_by(cyl) %>% - group_map(~ mutate(.y, mod = list(lm(mpg ~ disp, data = .x)))) + group_map(~ tibble(mod = list(lm(mpg ~ disp, data = .x)))) ``` +The lambda function must return a data frame. + # Changes in filter and slice Besides changes described previously related to preservation of the grouping structure, diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown index f56c901f2..004922f27 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown @@ -283,9 +283,9 @@ group_nest(data) #> # A tibble: 3 x 2 #> Species data #> -#> 1 setosa -#> 2 versicolor -#> 3 virginica +#> 1 setosa +#> 2 versicolor +#> 3 virginica group_split(data) #> [[1]] #> # A tibble: 22 x 5 @@ -346,9 +346,9 @@ iris %>% #> # A tibble: 3 x 2 #> Species data #> -#> 1 setosa -#> 2 versicolor -#> 3 virginica +#> 1 setosa +#> 2 versicolor +#> 3 virginica iris %>% group_split(Species) @@ -409,7 +409,7 @@ data and the groups. maintain the relationship, and may benefit from the assistance of the `group_keys()` function, especially in the presence of empty groups. -## group_map +## Iterate on grouped tibbles by group The new `group_map()` function provides a purrr style function that can be used to iterate on grouped tibbles. Each conceptual group of the data frame is exposed to the @@ -421,30 +421,33 @@ function with two pieces of information: ```r -group_by(mtcars, cyl) %>% +mtcars %>% + group_by(cyl) %>% group_map(~ head(.x, 2L)) -#> # A tibble: 6 x 12 +#> # A tibble: 6 x 11 #> # Groups: cyl [3] -#> cyl mpg cyl1 disp hp drat wt qsec vs am gear carb -#> * -#> 1 4 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 -#> 2 4 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 -#> 3 6 21 6 160 110 3.9 2.62 16.5 0 1 4 4 -#> 4 6 21 6 160 110 3.9 2.88 17.0 0 1 4 4 +#> cyl mpg disp hp drat wt qsec vs am gear carb +#> * +#> 1 4 22.8 108 93 3.85 2.32 18.6 1 1 4 1 +#> 2 4 24.4 147. 62 3.69 3.19 20 1 0 4 2 +#> 3 6 21 160 110 3.9 2.62 16.5 0 1 4 4 +#> 4 6 21 160 110 3.9 2.88 17.0 0 1 4 4 #> # … with 2 more rows mtcars %>% group_by(cyl) %>% - group_map(~ mutate(.y, mod = list(lm(mpg ~ disp, data = .x)))) -#> # A tibble: 3 x 3 + group_map(~ tibble(mod = list(lm(mpg ~ disp, data = .x)))) +#> # A tibble: 3 x 2 #> # Groups: cyl [3] -#> cyl cyl1 mod -#> * -#> 1 4 4 -#> 2 6 6 -#> 3 8 8 +#> cyl mod +#> * +#> 1 4 +#> 2 6 +#> 3 8 ``` +The lambda function must return a data frame. + # Changes in filter and slice Besides changes described previously related to preservation of the grouping structure, From 726db87acd4dc781c80ede08ee49a6f1af23a422 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 12:25:43 +0100 Subject: [PATCH 21/32] udpate date and minor changes. --- ...2-dplyr-0-8-0-release-candidate.Rmarkdown} | 34 +++++++++++-------- ...12-dplyr-0-8-0-release-candidate.markdown} | 34 +++++++++++-------- 2 files changed, 40 insertions(+), 28 deletions(-) rename content/articles/{2018-10-dplyr-0-8-0-release-candidate.Rmarkdown => 2018-12-dplyr-0-8-0-release-candidate.Rmarkdown} (93%) rename content/articles/{2018-10-dplyr-0-8-0-release-candidate.markdown => 2018-12-dplyr-0-8-0-release-candidate.markdown} (95%) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown similarity index 93% rename from content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown rename to content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index 983172c88..9045f85c4 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -1,7 +1,7 @@ --- title: dplyr 0.8.0 release candidate author: Romain François -date: '2018-10-23' +date: '2018-12-03' slug: dplyr-0-8-0-release-candidate description: > What you need to know about upcoming changes for dplyr 0.8.0. @@ -21,9 +21,10 @@ options(tibble.print_min = 4L, tibble.print_max = 4L) library(dplyr) ``` -A new release of dplyr (0.8.0) is on the horizon, and since it is a major release, we'd love for the -community to try it out, give us some feedback and [report issues](https://github.com/tidyverse/dplyr/issues) -before we submit to CRAN. This version represents about six months of development, making dplyr more +A new release of dplyr (0.8.0) is on the horizon, and since it is a major release with some potential +disruption, we'd love for the community to try it out, give us some feedback +and [report issues](https://github.com/tidyverse/dplyr/issues) +before we submit to CRAN. This version represents about nine months of development, making dplyr more respectful of factors and less surprising in its evaluation of expressions. In this post, we'll highlight the major changes, please see the @@ -117,9 +118,7 @@ i.e. one for each level of `f1`. ## Group preservation -The grouping structure is more coherently preserved by dplyr verbs, and the notion of -lazy grouped data frame is now obsolete. We needed lazily grouped data frames -in previous versions because the verbs did not reconstruct the groups. +The grouping structure is more coherently preserved by dplyr verbs. ```{r} df %>% @@ -149,7 +148,6 @@ would perform an implicit `group_by()` after the filtering, potentially losing groups. Because this is potentially disruptive, `filter()` has gained a `.preserve` argument, -the default value (`TRUE`) keeps the existing groups, but when `.preserve` is `FALSE` the data is first filtered and then implicitely grouped by: @@ -248,7 +246,8 @@ mtcars %>% group_map(~ tibble(mod = list(lm(mpg ~ disp, data = .x)))) ``` -The lambda function must return a data frame. +The lambda function must return a data frame. `group_map()` row binds the data +frames, recycles the grouping columns and structures the result as a grouped tibble. # Changes in filter and slice @@ -311,7 +310,6 @@ brittle heuristics to try to respect standard R evaluation semantics. ## New implementation The new hybrid system is stricter and falls back to standard R evaluation - when the expression is not entirely recognized. The `hybrid_call()` function (subject to change) can be used to test if an expression @@ -352,7 +350,7 @@ iris %>% # Performance When `summarise()` or `mutate()` use expressions that cannot be handled by -hybrid evaluation, they call back to R from the c++ internals for each group. +hybrid evaluation, they call back to R from the C++ internals for each group. This is an expensive operation because the expressions have to be evaluated with extra care, traditionally it meant wrapping the expression in an R `tryCatch()` @@ -361,7 +359,7 @@ Rcpp. Consequently, the cost of evaluating an R expression carefully is lower than before. We ran a benchmark of calculating the means of 10 000 small groups with the -release version of dplyr (0.7.7) and this release candidate with and without +release version of dplyr and this release candidate with and without using the unwind protect feature. Just using the `mean()` function would not illustrate the feature, because dplyr would @@ -372,9 +370,16 @@ partial hybrid evaluation in previous versions. ![](/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg) -The unwind protect feature gives better performance, however -hybrid evaluation is still very relevant. +This is not a comprehensive benchmark analysis, but on this small example we can read: + - unwind protection has no impact when using the hybrid evaluation, this is not a surprise + because the hybrid path does not call back to R. + - hybrid evaluation performs better on the release candidate. This is a direct consequence of + the redesign of hybrid evaluation. + - unwind protection gives a performance boost `mean_()`. Please note that the + x axis is on a log scale. + - unwind protection more than compensates for no longer using partial hybrid evaluation. + # nest_join The `nest_join()` function is the newest addition to the join family. @@ -442,6 +447,7 @@ the grouping variables when they are part of the selection. This includes: This is not the case for summarising and mutating variants where operations are *not* applied on grouping variables. The behaviour depends on whether the selection is **implicit** (`all` and `if` selections) or **explicit** (`at` selections). Grouping variables covered by explicit selections (with [summarise_at()], [mutate_at()], and [transmute_at()]) are always an error. + For implicit selections, the grouping variables are always ignored. In this case, the level of verbosity depends on the kind of operation: * Summarising operations ([summarise_all()] and [summarise_if()]) diff --git a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown similarity index 95% rename from content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown rename to content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown index 004922f27..dc98505dd 100644 --- a/content/articles/2018-10-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown @@ -1,7 +1,7 @@ --- title: dplyr 0.8.0 release candidate author: Romain François -date: '2018-10-23' +date: '2018-12-03' slug: dplyr-0-8-0-release-candidate description: > What you need to know about upcoming changes for dplyr 0.8.0. @@ -17,9 +17,10 @@ photo: -A new release of dplyr (0.8.0) is on the horizon, and since it is a major release, we'd love for the -community to try it out, give us some feedback and [report issues](https://github.com/tidyverse/dplyr/issues) -before we submit to CRAN. This version represents about six months of development, making dplyr more +A new release of dplyr (0.8.0) is on the horizon, and since it is a major release with some potential +disruption, we'd love for the community to try it out, give us some feedback +and [report issues](https://github.com/tidyverse/dplyr/issues) +before we submit to CRAN. This version represents about nine months of development, making dplyr more respectful of factors and less surprising in its evaluation of expressions. In this post, we'll highlight the major changes, please see the @@ -166,9 +167,7 @@ i.e. one for each level of `f1`. ## Group preservation -The grouping structure is more coherently preserved by dplyr verbs, and the notion of -lazy grouped data frame is now obsolete. We needed lazily grouped data frames -in previous versions because the verbs did not reconstruct the groups. +The grouping structure is more coherently preserved by dplyr verbs. ```r @@ -218,7 +217,6 @@ would perform an implicit `group_by()` after the filtering, potentially losing groups. Because this is potentially disruptive, `filter()` has gained a `.preserve` argument, -the default value (`TRUE`) keeps the existing groups, but when `.preserve` is `FALSE` the data is first filtered and then implicitely grouped by: @@ -446,7 +444,8 @@ mtcars %>% #> 3 8 ``` -The lambda function must return a data frame. +The lambda function must return a data frame. `group_map()` row binds the data +frames, recycles the grouping columns and structures the result as a grouped tibble. # Changes in filter and slice @@ -532,7 +531,6 @@ brittle heuristics to try to respect standard R evaluation semantics. ## New implementation The new hybrid system is stricter and falls back to standard R evaluation - when the expression is not entirely recognized. The `hybrid_call()` function (subject to change) can be used to test if an expression @@ -596,7 +594,7 @@ iris %>% # Performance When `summarise()` or `mutate()` use expressions that cannot be handled by -hybrid evaluation, they call back to R from the c++ internals for each group. +hybrid evaluation, they call back to R from the C++ internals for each group. This is an expensive operation because the expressions have to be evaluated with extra care, traditionally it meant wrapping the expression in an R `tryCatch()` @@ -605,7 +603,7 @@ Rcpp. Consequently, the cost of evaluating an R expression carefully is lower than before. We ran a benchmark of calculating the means of 10 000 small groups with the -release version of dplyr (0.7.7) and this release candidate with and without +release version of dplyr and this release candidate with and without using the unwind protect feature. Just using the `mean()` function would not illustrate the feature, because dplyr would @@ -616,9 +614,16 @@ partial hybrid evaluation in previous versions. ![](/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg) -The unwind protect feature gives better performance, however -hybrid evaluation is still very relevant. +This is not a comprehensive benchmark analysis, but on this small example we can read: + - unwind protection has no impact when using the hybrid evaluation, this is not a surprise + because the hybrid path does not call back to R. + - hybrid evaluation performs better on the release candidate. This is a direct consequence of + the redesign of hybrid evaluation. + - unwind protection gives a performance boost `mean_()`. Please note that the + x axis is on a log scale. + - unwind protection more than compensates for no longer using partial hybrid evaluation. + # nest_join The `nest_join()` function is the newest addition to the join family. @@ -716,6 +721,7 @@ the grouping variables when they are part of the selection. This includes: This is not the case for summarising and mutating variants where operations are *not* applied on grouping variables. The behaviour depends on whether the selection is **implicit** (`all` and `if` selections) or **explicit** (`at` selections). Grouping variables covered by explicit selections (with [summarise_at()], [mutate_at()], and [transmute_at()]) are always an error. + For implicit selections, the grouping variables are always ignored. In this case, the level of verbosity depends on the kind of operation: * Summarising operations ([summarise_all()] and [summarise_if()]) From 8b931a8b8506891f18008ca8e73c3821edb1458d Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 13:36:58 +0100 Subject: [PATCH 22/32] links --- ...12-dplyr-0-8-0-release-candidate.Rmarkdown | 99 ++++++++++--------- ...-12-dplyr-0-8-0-release-candidate.markdown | 89 +++++++++-------- 2 files changed, 98 insertions(+), 90 deletions(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index 9045f85c4..54d237699 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -19,6 +19,16 @@ photo: knitr::opts_chunk$set(collapse = T, comment = "#>") options(tibble.print_min = 4L, tibble.print_max = 4L) library(dplyr) +library(glue) + +link <- function(fun, pkg = "dplyr", alias = fun) { + f <- if (pkg == "dplyr") fun else glue("{pkg}::{fun}") + glue("[`{f}()`](https://{pkg}.tidyverse.org/reference/{alias}.html)") +} + +issue <- function(n, pkg = "dplyr", org = "tidyverse") { + glue("[{n}](https://github.com/{org}/{pkg}/issues/{n})") +} ``` A new release of dplyr (0.8.0) is on the horizon, and since it is a major release with some potential @@ -47,16 +57,14 @@ install.packages("dplyr") ## Group creation -The algorithm behind `group_by()` has been redesigned to better respect factor levels, +The algorithm behind `r link("group_by")` has been redesigned to better respect factor levels, a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to -match the observed data. This closes the epic issue -[341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014, and has generated +match the observed data. This closes the epic issue `r issue(341)` that dates back to 2014, and has generated a lot of press and frustration, see [Zero Counts in dplyr](https://kieranhealy.org/blog/archives/2018/11/19/zero-counts-in-dplyr/) for a recent walkthrough of the issue. -Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) -function: +Let's illustrate the new algorithm with the `r link("count")` function: ```{r} df <- tibble( @@ -104,7 +112,7 @@ variable `x`. Since `x` is always 1 when `f1` is `a` the group is not further divided. The last group, associated with the level `c` of the factor `f1` is empty, and -consequently has no values for the vector `x`. In that case, `group_by()` uses +consequently has no values for the vector `x`. In that case, `r link("group_by")` uses `NA`. ```{r} @@ -133,7 +141,7 @@ coherent results with : mean(numeric()) ``` -In particular the result of `filter()` preserves the grouping structure of the input +In particular the result of `r link("filter")` preserves the grouping structure of the input data frame. ```{r} @@ -142,12 +150,12 @@ df %>% filter(y < 4) ``` -The resulting tibble after the `filter()` call has six groups, the same -exact groups that were made by `group_by()`. Previous versions of dplyr +The resulting tibble after the `r link("filter")` call has six groups, the same +exact groups that were made by `r link("group_by")`. Previous versions of dplyr would perform an implicit `group_by()` after the filtering, potentially losing groups. -Because this is potentially disruptive, `filter()` has gained a `.preserve` argument, +Because this is potentially disruptive, `r link("filter")` has gained a `.preserve` argument, when `.preserve` is `FALSE` the data is first filtered and then implicitely grouped by: @@ -173,15 +181,15 @@ iris %>% The grouping family is extended with new functions: - - `group_nest()` : similar to `tidyr::nest()` but focusing on the grouping columns + - `r link("group_nest")` : similar to `r link("nest", pkg = "tidyr")` but focusing on the grouping columns rather than the columns to nest - - `group_split()` : similar to `base::split()` but the grouping is subject to the data mask - - `group_keys()` : retrieves a tibble with one row per group and one column per grouping variable - - `group_rows()` : retrieves a list of 1-based integer vectors, each vector represents the indices + - `r link("group_split")` : similar to `base::split()` but the grouping is subject to the data mask + - `r link("group_keys")` : retrieves a tibble with one row per group and one column per grouping variable + - `r link("group_rows")` : retrieves a list of 1-based integer vectors, each vector represents the indices of the group in the grouped data frame The primary use case for these functions is with already grouped data frames, that may directly -or indirectly originate from `group_by()`. +or indirectly originate from `r link("group_by")`. ```{r} data <- iris %>% @@ -196,7 +204,7 @@ group_rows(data) Alternatively, these functions may be used on an ungrouped data frame, together with a grouping specification that is subject to the data mask. In that case, the grouping is -implicitly performed by `group_by()`: +implicitly performed by `r link("group_by")`: ```{r} iris %>% @@ -213,22 +221,22 @@ These functions are related to each other in how they handle and organize the grouping information and who/what is responsible for maintaining the relation between the data and the groups. - - A grouped data frame, as generated by `group_by()` stores the grouping information + - A grouped data frame, as generated by `r link("group_by")` stores the grouping information as an attribute of the data frame, dplyr verbs use that information to maintain the relationship - - When using `group_nest()` the data is structured as a data frame that has a list column - to hold the non grouping columns. The result of `group_nest()` is not a grouped data frame, + - When using `r link("group_nest")` the data is structured as a data frame that has a list column + to hold the non grouping columns. The result of `r link("group_nest")` is not a grouped data frame, therefore the structure of the data frame maintains the relationship. - - When using `group_split()` the data is split into a list, and each element of the list + - When using `r link("group_split")` the data is split into a list, and each element of the list contains a tibble with the rows of the associated group. The user is responsible to - maintain the relationship, and may benefit from the assistance of the `group_keys()` + maintain the relationship, and may benefit from the assistance of the `r link("group_keys")` function, especially in the presence of empty groups. ## Iterate on grouped tibbles by group -The new `group_map()` function provides a purrr style function that can be used to +The new `r link("group_map")` function provides a purrr style function that can be used to iterate on grouped tibbles. Each conceptual group of the data frame is exposed to the function with two pieces of information: @@ -246,13 +254,13 @@ mtcars %>% group_map(~ tibble(mod = list(lm(mpg ~ disp, data = .x)))) ``` -The lambda function must return a data frame. `group_map()` row binds the data +The lambda function must return a data frame. `r link("group_map")` row binds the data frames, recycles the grouping columns and structures the result as a grouped tibble. # Changes in filter and slice Besides changes described previously related to preservation of the grouping structure, -`filter()` and `slice()` now reorganize the data by groups for performance reasons: +`r link("filter")` and `r link("slice")` now reorganize the data by groups for performance reasons: ```{r} tibble( @@ -267,7 +275,7 @@ tibble( ## What's hybrid evaluation again ? -Hybrid evaluation is used in `summarise()` and `mutate()` to replace +Hybrid evaluation is used in `r link("summarise")` and `r link("mutate")` to replace potential expensive R operations by native C++ code that is group aware. ```{r} @@ -312,7 +320,7 @@ brittle heuristics to try to respect standard R evaluation semantics. The new hybrid system is stricter and falls back to standard R evaluation when the expression is not entirely recognized. -The `hybrid_call()` function (subject to change) can be used to test if an expression +The `r link("hybrid_call")` function (subject to change) can be used to test if an expression would be handled by hybrid or standard evaluation: ```{r} @@ -338,8 +346,8 @@ to materialize the result. When there is no match, the expression gets evaluated for each group using R standard evaluation rules in the data mask: a special environment that makes the -columns available and uses contextual information for functions such as `n()` -and `row_number()`. +columns available and uses contextual information for functions such as `r link("n")` +and `r link("row_number")`. ```{r} iris %>% @@ -349,7 +357,7 @@ iris %>% # Performance -When `summarise()` or `mutate()` use expressions that cannot be handled by +When `r link("summarise")` or `r link("mutate")` use expressions that cannot be handled by hybrid evaluation, they call back to R from the C++ internals for each group. This is an expensive operation because the expressions have to be evaluated @@ -382,7 +390,7 @@ This is not a comprehensive benchmark analysis, but on this small example we can # nest_join -The `nest_join()` function is the newest addition to the join family. +The `r link("nest_join")` function is the newest addition to the join family. ```{r} band_members %>% @@ -393,11 +401,12 @@ A nest join of `x` and `y` returns all rows and all columns from `x`, plus an ad that contains a list of tibbles. Each tibble contains all the rows from `y` that match that row of `x`. When there is no match, the list column is a 0-row tibble with the same column names and types as `y`. -`nest_join()` is the most fundamental join since you can recreate the other joins from it: - - `inner_join()` is a `nest_join()` plus an `tidyr::unnest()`. - - `left_join()` is a `nest_join()` plus an `unnest(drop = FALSE)`. - - `semi_join()` is a `nest_join()` plus a `filter()` where you check that every element of data has at least one row. - - `anti_join()` is a `nest_join()` plus a `filter()` where you check every element has zero rows. +`r link("nest_join")` is the most fundamental join since you can recreate the other joins from it: + + - `r link("inner_join")` is a `r link("nest_join")` plus an `r link("unnest", pkg = "tidyr")` + - `r link("left_join")` is a `r link("nest_join")` plus an `r link("unnest", pkg = "tidyr")` with `drop=TRUE` + - `r link("semi_join")` is a `r link("nest_join")` plus a `r link("filter")` where you check that every element of data has at least one row. + - `r link("anti_join")` is a `r link("nest_join")` plus a `r link("filter")` where you check every element has zero rows. # Scoped variants @@ -438,27 +447,27 @@ We have reviewed the documentation of all scoped variants to make clear how the are applied to grouped tibbles. For most of the scoped verbs, the operation also apply on the grouping variables when they are part of the selection. This includes: -* [arrange_all()], [arrange_at()], and [arrange_if()] -* [distinct_all()], [distinct_at()], and [distinct_if()] -* [filter_all()], [filter_at()], and [filter_if()] -* [group_by_all()], [group_by_at()], and [group_by_if()] -* [select_all()], [select_at()], and [select_if()] +* `r link("arrange_all")`, `r link("arrange_at")`, and `r link("arrange_if")` +* `r link("distinct_all")`, `r link("distinct_at")`, and `r link("distinct_if")` +* `r link("filter_all")`, `r link("filter_at")`, and `r link("filter_if")` +* `r link("group_by_all")`, `r link("group_by_at")`, and `r link("group_by_if")` +* `r link("select_all")`, `r link("select_at")`, and `r link("select_if")` This is not the case for summarising and mutating variants where operations are *not* applied on grouping variables. The behaviour depends on whether the selection is **implicit** (`all` and `if` selections) or **explicit** (`at` selections). -Grouping variables covered by explicit selections (with [summarise_at()], [mutate_at()], and [transmute_at()]) are always an error. - +Grouping variables covered by explicit selections (with `r link("summarise_at")`, `r link("mutate_at")`, and `r link("transmute_at")` are always an error. For implicit selections, the grouping variables are always ignored. In this case, the level of verbosity depends on the kind of operation: -* Summarising operations ([summarise_all()] and [summarise_if()]) +* Summarising operations (`r link("summarise_all")` and `r link("summarise_if")` ignore grouping variables silently because it is obvious that operations are not applied on grouping variables. -* On the other hand it isn't as obvious in the case of mutating operations ([mutate_all()], [mutate_if()], [transmute_all()], and [transmute_if()]). +* On the other hand it isn't as obvious in the case of mutating operations (`r link("mutate_all")`, `r link("mutate_if")`, `r link("transmute_all")`, and `r link("transmute_if")`). For this reason, they issue a message indicating which grouping variables are ignored. In order to make it easier to explicitly remove the grouping columns from an `_at` selection, we have introduced a -new selection helper `group_cols()`. Just like `last_col()` matches the last column of a tibble, `group_cols()` matches all grouping columns: +new selection helper `r link("group_cols")`. Just like `r link("last_col")` matches the last column of a tibble, +`r link("group_cols")` matches all grouping columns: ```{r} mtcars %>% diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown index dc98505dd..052827ab3 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown @@ -45,16 +45,14 @@ install.packages("dplyr") ## Group creation -The algorithm behind `group_by()` has been redesigned to better respect factor levels, +The algorithm behind [`group_by()`](https://dplyr.tidyverse.org/reference/group_by.html) has been redesigned to better respect factor levels, a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to -match the observed data. This closes the epic issue -[341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014, and has generated +match the observed data. This closes the epic issue [341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014, and has generated a lot of press and frustration, see [Zero Counts in dplyr](https://kieranhealy.org/blog/archives/2018/11/19/zero-counts-in-dplyr/) for a recent walkthrough of the issue. -Let's illustrate the new algorithm with the [count()](https://dplyr.tidyverse.org/reference/tally.html) -function: +Let's illustrate the new algorithm with the [`count()`](https://dplyr.tidyverse.org/reference/count.html) function: ```r @@ -143,7 +141,7 @@ variable `x`. Since `x` is always 1 when `f1` is `a` the group is not further divided. The last group, associated with the level `c` of the factor `f1` is empty, and -consequently has no values for the vector `x`. In that case, `group_by()` uses +consequently has no values for the vector `x`. In that case, [`group_by()`](https://dplyr.tidyverse.org/reference/group_by.html) uses `NA`. @@ -194,7 +192,7 @@ mean(numeric()) #> [1] NaN ``` -In particular the result of `filter()` preserves the grouping structure of the input +In particular the result of [`filter()`](https://dplyr.tidyverse.org/reference/filter.html) preserves the grouping structure of the input data frame. @@ -211,12 +209,12 @@ df %>% #> 3 a d 1 3 ``` -The resulting tibble after the `filter()` call has six groups, the same -exact groups that were made by `group_by()`. Previous versions of dplyr +The resulting tibble after the [`filter()`](https://dplyr.tidyverse.org/reference/filter.html) call has six groups, the same +exact groups that were made by [`group_by()`](https://dplyr.tidyverse.org/reference/group_by.html). Previous versions of dplyr would perform an implicit `group_by()` after the filtering, potentially losing groups. -Because this is potentially disruptive, `filter()` has gained a `.preserve` argument, +Because this is potentially disruptive, [`filter()`](https://dplyr.tidyverse.org/reference/filter.html) has gained a `.preserve` argument, when `.preserve` is `FALSE` the data is first filtered and then implicitely grouped by: @@ -261,15 +259,15 @@ iris %>% The grouping family is extended with new functions: - - `group_nest()` : similar to `tidyr::nest()` but focusing on the grouping columns + - [`group_nest()`](https://dplyr.tidyverse.org/reference/group_nest.html) : similar to [`tidyr::nest()`](https://tidyr.tidyverse.org/reference/nest.html) but focusing on the grouping columns rather than the columns to nest - - `group_split()` : similar to `base::split()` but the grouping is subject to the data mask - - `group_keys()` : retrieves a tibble with one row per group and one column per grouping variable - - `group_rows()` : retrieves a list of 1-based integer vectors, each vector represents the indices + - [`group_split()`](https://dplyr.tidyverse.org/reference/group_split.html) : similar to `base::split()` but the grouping is subject to the data mask + - [`group_keys()`](https://dplyr.tidyverse.org/reference/group_keys.html) : retrieves a tibble with one row per group and one column per grouping variable + - [`group_rows()`](https://dplyr.tidyverse.org/reference/group_rows.html) : retrieves a list of 1-based integer vectors, each vector represents the indices of the group in the grouped data frame The primary use case for these functions is with already grouped data frames, that may directly -or indirectly originate from `group_by()`. +or indirectly originate from [`group_by()`](https://dplyr.tidyverse.org/reference/group_by.html). ```r @@ -335,7 +333,7 @@ group_rows(data) Alternatively, these functions may be used on an ungrouped data frame, together with a grouping specification that is subject to the data mask. In that case, the grouping is -implicitly performed by `group_by()`: +implicitly performed by [`group_by()`](https://dplyr.tidyverse.org/reference/group_by.html): ```r @@ -394,22 +392,22 @@ These functions are related to each other in how they handle and organize the grouping information and who/what is responsible for maintaining the relation between the data and the groups. - - A grouped data frame, as generated by `group_by()` stores the grouping information + - A grouped data frame, as generated by [`group_by()`](https://dplyr.tidyverse.org/reference/group_by.html) stores the grouping information as an attribute of the data frame, dplyr verbs use that information to maintain the relationship - - When using `group_nest()` the data is structured as a data frame that has a list column - to hold the non grouping columns. The result of `group_nest()` is not a grouped data frame, + - When using [`group_nest()`](https://dplyr.tidyverse.org/reference/group_nest.html) the data is structured as a data frame that has a list column + to hold the non grouping columns. The result of [`group_nest()`](https://dplyr.tidyverse.org/reference/group_nest.html) is not a grouped data frame, therefore the structure of the data frame maintains the relationship. - - When using `group_split()` the data is split into a list, and each element of the list + - When using [`group_split()`](https://dplyr.tidyverse.org/reference/group_split.html) the data is split into a list, and each element of the list contains a tibble with the rows of the associated group. The user is responsible to - maintain the relationship, and may benefit from the assistance of the `group_keys()` + maintain the relationship, and may benefit from the assistance of the [`group_keys()`](https://dplyr.tidyverse.org/reference/group_keys.html) function, especially in the presence of empty groups. ## Iterate on grouped tibbles by group -The new `group_map()` function provides a purrr style function that can be used to +The new [`group_map()`](https://dplyr.tidyverse.org/reference/group_map.html) function provides a purrr style function that can be used to iterate on grouped tibbles. Each conceptual group of the data frame is exposed to the function with two pieces of information: @@ -444,13 +442,13 @@ mtcars %>% #> 3 8 ``` -The lambda function must return a data frame. `group_map()` row binds the data +The lambda function must return a data frame. [`group_map()`](https://dplyr.tidyverse.org/reference/group_map.html) row binds the data frames, recycles the grouping columns and structures the result as a grouped tibble. # Changes in filter and slice Besides changes described previously related to preservation of the grouping structure, -`filter()` and `slice()` now reorganize the data by groups for performance reasons: +[`filter()`](https://dplyr.tidyverse.org/reference/filter.html) and [`slice()`](https://dplyr.tidyverse.org/reference/slice.html) now reorganize the data by groups for performance reasons: ```r @@ -474,7 +472,7 @@ tibble( ## What's hybrid evaluation again ? -Hybrid evaluation is used in `summarise()` and `mutate()` to replace +Hybrid evaluation is used in [`summarise()`](https://dplyr.tidyverse.org/reference/summarise.html) and [`mutate()`](https://dplyr.tidyverse.org/reference/mutate.html) to replace potential expensive R operations by native C++ code that is group aware. @@ -533,7 +531,7 @@ brittle heuristics to try to respect standard R evaluation semantics. The new hybrid system is stricter and falls back to standard R evaluation when the expression is not entirely recognized. -The `hybrid_call()` function (subject to change) can be used to test if an expression +The [`hybrid_call()`](https://dplyr.tidyverse.org/reference/hybrid_call.html) function (subject to change) can be used to test if an expression would be handled by hybrid or standard evaluation: @@ -575,8 +573,8 @@ to materialize the result. When there is no match, the expression gets evaluated for each group using R standard evaluation rules in the data mask: a special environment that makes the -columns available and uses contextual information for functions such as `n()` -and `row_number()`. +columns available and uses contextual information for functions such as [`n()`](https://dplyr.tidyverse.org/reference/n.html) +and [`row_number()`](https://dplyr.tidyverse.org/reference/row_number.html). ```r @@ -593,7 +591,7 @@ iris %>% # Performance -When `summarise()` or `mutate()` use expressions that cannot be handled by +When [`summarise()`](https://dplyr.tidyverse.org/reference/summarise.html) or [`mutate()`](https://dplyr.tidyverse.org/reference/mutate.html) use expressions that cannot be handled by hybrid evaluation, they call back to R from the C++ internals for each group. This is an expensive operation because the expressions have to be evaluated @@ -626,7 +624,7 @@ This is not a comprehensive benchmark analysis, but on this small example we can # nest_join -The `nest_join()` function is the newest addition to the join family. +The [`nest_join()`](https://dplyr.tidyverse.org/reference/nest_join.html) function is the newest addition to the join family. ```r @@ -645,11 +643,12 @@ A nest join of `x` and `y` returns all rows and all columns from `x`, plus an ad that contains a list of tibbles. Each tibble contains all the rows from `y` that match that row of `x`. When there is no match, the list column is a 0-row tibble with the same column names and types as `y`. -`nest_join()` is the most fundamental join since you can recreate the other joins from it: - - `inner_join()` is a `nest_join()` plus an `tidyr::unnest()`. - - `left_join()` is a `nest_join()` plus an `unnest(drop = FALSE)`. - - `semi_join()` is a `nest_join()` plus a `filter()` where you check that every element of data has at least one row. - - `anti_join()` is a `nest_join()` plus a `filter()` where you check every element has zero rows. +[`nest_join()`](https://dplyr.tidyverse.org/reference/nest_join.html) is the most fundamental join since you can recreate the other joins from it: + + - [`inner_join()`](https://dplyr.tidyverse.org/reference/inner_join.html) is a [`nest_join()`](https://dplyr.tidyverse.org/reference/nest_join.html) plus an [`tidyr::unnest()`](https://tidyr.tidyverse.org/reference/unnest.html) + - [`left_join()`](https://dplyr.tidyverse.org/reference/left_join.html) is a [`nest_join()`](https://dplyr.tidyverse.org/reference/nest_join.html) plus an [`tidyr::unnest()`](https://tidyr.tidyverse.org/reference/unnest.html) with `drop=TRUE` + - [`semi_join()`](https://dplyr.tidyverse.org/reference/semi_join.html) is a [`nest_join()`](https://dplyr.tidyverse.org/reference/nest_join.html) plus a [`filter()`](https://dplyr.tidyverse.org/reference/filter.html) where you check that every element of data has at least one row. + - [`anti_join()`](https://dplyr.tidyverse.org/reference/anti_join.html) is a [`nest_join()`](https://dplyr.tidyverse.org/reference/nest_join.html) plus a [`filter()`](https://dplyr.tidyverse.org/reference/filter.html) where you check every element has zero rows. # Scoped variants @@ -712,27 +711,27 @@ We have reviewed the documentation of all scoped variants to make clear how the are applied to grouped tibbles. For most of the scoped verbs, the operation also apply on the grouping variables when they are part of the selection. This includes: -* [arrange_all()], [arrange_at()], and [arrange_if()] -* [distinct_all()], [distinct_at()], and [distinct_if()] -* [filter_all()], [filter_at()], and [filter_if()] -* [group_by_all()], [group_by_at()], and [group_by_if()] -* [select_all()], [select_at()], and [select_if()] +* [`arrange_all()`](https://dplyr.tidyverse.org/reference/arrange_all.html), [`arrange_at()`](https://dplyr.tidyverse.org/reference/arrange_at.html), and [`arrange_if()`](https://dplyr.tidyverse.org/reference/arrange_if.html) +* [`distinct_all()`](https://dplyr.tidyverse.org/reference/distinct_all.html), [`distinct_at()`](https://dplyr.tidyverse.org/reference/distinct_at.html), and [`distinct_if()`](https://dplyr.tidyverse.org/reference/distinct_if.html) +* [`filter_all()`](https://dplyr.tidyverse.org/reference/filter_all.html), [`filter_at()`](https://dplyr.tidyverse.org/reference/filter_at.html), and [`filter_if()`](https://dplyr.tidyverse.org/reference/filter_if.html) +* [`group_by_all()`](https://dplyr.tidyverse.org/reference/group_by_all.html), [`group_by_at()`](https://dplyr.tidyverse.org/reference/group_by_at.html), and [`group_by_if()`](https://dplyr.tidyverse.org/reference/group_by_if.html) +* [`select_all()`](https://dplyr.tidyverse.org/reference/select_all.html), [`select_at()`](https://dplyr.tidyverse.org/reference/select_at.html), and [`select_if()`](https://dplyr.tidyverse.org/reference/select_if.html) This is not the case for summarising and mutating variants where operations are *not* applied on grouping variables. The behaviour depends on whether the selection is **implicit** (`all` and `if` selections) or **explicit** (`at` selections). -Grouping variables covered by explicit selections (with [summarise_at()], [mutate_at()], and [transmute_at()]) are always an error. - +Grouping variables covered by explicit selections (with [`summarise_at()`](https://dplyr.tidyverse.org/reference/summarise_at.html), [`mutate_at()`](https://dplyr.tidyverse.org/reference/mutate_at.html), and [`transmute_at()`](https://dplyr.tidyverse.org/reference/transmute_at.html) are always an error. For implicit selections, the grouping variables are always ignored. In this case, the level of verbosity depends on the kind of operation: -* Summarising operations ([summarise_all()] and [summarise_if()]) +* Summarising operations ([`summarise_all()`](https://dplyr.tidyverse.org/reference/summarise_all.html) and [`summarise_if()`](https://dplyr.tidyverse.org/reference/summarise_if.html) ignore grouping variables silently because it is obvious that operations are not applied on grouping variables. -* On the other hand it isn't as obvious in the case of mutating operations ([mutate_all()], [mutate_if()], [transmute_all()], and [transmute_if()]). +* On the other hand it isn't as obvious in the case of mutating operations ([`mutate_all()`](https://dplyr.tidyverse.org/reference/mutate_all.html), [`mutate_if()`](https://dplyr.tidyverse.org/reference/mutate_if.html), [`transmute_all()`](https://dplyr.tidyverse.org/reference/transmute_all.html), and [`transmute_if()`](https://dplyr.tidyverse.org/reference/transmute_if.html)). For this reason, they issue a message indicating which grouping variables are ignored. In order to make it easier to explicitly remove the grouping columns from an `_at` selection, we have introduced a -new selection helper `group_cols()`. Just like `last_col()` matches the last column of a tibble, `group_cols()` matches all grouping columns: +new selection helper [`group_cols()`](https://dplyr.tidyverse.org/reference/group_cols.html). Just like [`last_col()`](https://dplyr.tidyverse.org/reference/last_col.html) matches the last column of a tibble, +[`group_cols()`](https://dplyr.tidyverse.org/reference/group_cols.html) matches all grouping columns: ```r From e27bf87346dad90a6fdbfa0a62e786a9afadca68 Mon Sep 17 00:00:00 2001 From: Hadley Wickham Date: Mon, 3 Dec 2018 16:40:45 +0100 Subject: [PATCH 23/32] Update content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown Co-Authored-By: romainfrancois --- .../articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index 54d237699..3e56717ad 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -361,7 +361,7 @@ When `r link("summarise")` or `r link("mutate")` use expressions that cannot be hybrid evaluation, they call back to R from the C++ internals for each group. This is an expensive operation because the expressions have to be evaluated -with extra care, traditionally it meant wrapping the expression in an R `tryCatch()` +with extra care. Traditionally it meant wrapping the expression in an R `tryCatch()` before evaluating, but R 3.5.0 has added unwind protection and we exposed that to Rcpp. Consequently, the cost of evaluating an R expression carefully is lower than before. From 513b1ac6ad521742878438b401646159f2742b29 Mon Sep 17 00:00:00 2001 From: Hadley Wickham Date: Mon, 3 Dec 2018 16:40:55 +0100 Subject: [PATCH 24/32] Update content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown Co-Authored-By: romainfrancois --- .../articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index 3e56717ad..08295b7d7 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -366,7 +366,7 @@ before evaluating, but R 3.5.0 has added unwind protection and we exposed that t Rcpp. Consequently, the cost of evaluating an R expression carefully is lower than before. -We ran a benchmark of calculating the means of 10 000 small groups with the +We ran a benchmark calculating the means of 10,000 small groups with the release version of dplyr and this release candidate with and without using the unwind protect feature. From 9b95feee4e34e2a67cbbea437a60e20a08588416 Mon Sep 17 00:00:00 2001 From: Hadley Wickham Date: Mon, 3 Dec 2018 16:41:06 +0100 Subject: [PATCH 25/32] Update content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown Co-Authored-By: romainfrancois --- .../articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index 08295b7d7..92245689e 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -438,7 +438,7 @@ mutate_if(iris, is.numeric, fns) This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of common algorithms will kick in just as it did with expressions passed with `funs()`. -Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, +Consequently, we are soft-deprecating `funs()`: it will continue to work without any warnings for now, but will eventually start issuing warnings. ## Behaviour with grouped tibbles From 0d01564f762840c17d2410ebb0d5a6ed7aa08588 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 16:42:02 +0100 Subject: [PATCH 26/32] suggested changes from @hadley --- .../2018-12-dplyr-0-8-0-release-candidate.Rmarkdown | 13 ++++++------- .../2018-12-dplyr-0-8-0-release-candidate.markdown | 13 ++++++------- 2 files changed, 12 insertions(+), 14 deletions(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index 54d237699..93a501b5a 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -4,7 +4,7 @@ author: Romain François date: '2018-12-03' slug: dplyr-0-8-0-release-candidate description: > - What you need to know about upcoming changes for dplyr 0.8.0. + What you need to know about upcoming changes in dplyr 0.8.0. categories: - package tags: @@ -58,7 +58,7 @@ install.packages("dplyr") ## Group creation The algorithm behind `r link("group_by")` has been redesigned to better respect factor levels, -a group is created for each level of the factor, even if there is no data. This +so that a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to match the observed data. This closes the epic issue `r issue(341)` that dates back to 2014, and has generated a lot of press and frustration, see [Zero Counts in dplyr](https://kieranhealy.org/blog/archives/2018/11/19/zero-counts-in-dplyr/) @@ -135,7 +135,7 @@ df %>% ``` The expression `mean(y)` is evaluated for the empty groups as well, and gives -coherent results with : +consistent results with : ```{r} mean(numeric()) @@ -156,8 +156,7 @@ would perform an implicit `group_by()` after the filtering, potentially losing groups. Because this is potentially disruptive, `r link("filter")` has gained a `.preserve` argument, -when `.preserve` is `FALSE` the data is first filtered and then implicitely -grouped by: +when `.preserve` is `FALSE` the data is first filtered and then regrouped: ```{r} df %>% @@ -167,7 +166,7 @@ df %>% Note however, that even `.preserve = FALSE` respects the factors that are used as grouping variables, in particular `filter( , .preserve = FALSE)` is not a way to -discard empty groups. The forcats `r emo::ji("package")` may help: +discard empty groups. The [forcats](https://forcats.tidyverse.org) `r emo::ji("package")` may help: ```{r} iris %>% @@ -298,7 +297,7 @@ In this example, a standard evaluation path would need to: In constrast, hybrid evaluation can directly allocate the final vector, and calculate all 3 means without having to allocate the subsets. -## Flaws in previous hybrid +## Flaws in previous version Previous versions of hybrid evaluation relied on folding to replace part of the expression by their hybrid result. For example, diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown index 052827ab3..3bfc5bdf4 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown @@ -4,7 +4,7 @@ author: Romain François date: '2018-12-03' slug: dplyr-0-8-0-release-candidate description: > - What you need to know about upcoming changes for dplyr 0.8.0. + What you need to know about upcoming changes in dplyr 0.8.0. categories: - package tags: @@ -46,7 +46,7 @@ install.packages("dplyr") ## Group creation The algorithm behind [`group_by()`](https://dplyr.tidyverse.org/reference/group_by.html) has been redesigned to better respect factor levels, -a group is created for each level of the factor, even if there is no data. This +so that a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to match the observed data. This closes the epic issue [341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014, and has generated a lot of press and frustration, see [Zero Counts in dplyr](https://kieranhealy.org/blog/archives/2018/11/19/zero-counts-in-dplyr/) @@ -184,7 +184,7 @@ df %>% ``` The expression `mean(y)` is evaluated for the empty groups as well, and gives -coherent results with : +consistent results with : ```r @@ -215,8 +215,7 @@ would perform an implicit `group_by()` after the filtering, potentially losing groups. Because this is potentially disruptive, [`filter()`](https://dplyr.tidyverse.org/reference/filter.html) has gained a `.preserve` argument, -when `.preserve` is `FALSE` the data is first filtered and then implicitely -grouped by: +when `.preserve` is `FALSE` the data is first filtered and then regrouped: ```r @@ -235,7 +234,7 @@ df %>% Note however, that even `.preserve = FALSE` respects the factors that are used as grouping variables, in particular `filter( , .preserve = FALSE)` is not a way to -discard empty groups. The forcats 📦 may help: +discard empty groups. The [forcats](https://forcats.tidyverse.org) 📦 may help: ```r @@ -502,7 +501,7 @@ In this example, a standard evaluation path would need to: In constrast, hybrid evaluation can directly allocate the final vector, and calculate all 3 means without having to allocate the subsets. -## Flaws in previous hybrid +## Flaws in previous version Previous versions of hybrid evaluation relied on folding to replace part of the expression by their hybrid result. For example, From a3362119002e23bcaa09a5fbf99b9bb55fbda705 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 16:42:19 +0100 Subject: [PATCH 27/32] render --- .../articles/2018-12-dplyr-0-8-0-release-candidate.markdown | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown index 3bfc5bdf4..b0d93d64c 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown @@ -594,12 +594,12 @@ When [`summarise()`](https://dplyr.tidyverse.org/reference/summarise.html) or [` hybrid evaluation, they call back to R from the C++ internals for each group. This is an expensive operation because the expressions have to be evaluated -with extra care, traditionally it meant wrapping the expression in an R `tryCatch()` +with extra care. Traditionally it meant wrapping the expression in an R `tryCatch()` before evaluating, but R 3.5.0 has added unwind protection and we exposed that to Rcpp. Consequently, the cost of evaluating an R expression carefully is lower than before. -We ran a benchmark of calculating the means of 10 000 small groups with the +We ran a benchmark calculating the means of 10,000 small groups with the release version of dplyr and this release candidate with and without using the unwind protect feature. @@ -701,7 +701,7 @@ mutate_if(iris, is.numeric, fns) This is now the preferred syntax for passing functions to the scoped verbs because it is simpler and consistent with purrr. Counting from dplyr 0.8.0, the hybrid evaluator recognises and inlines these lambdas, so that native implementation of common algorithms will kick in just as it did with expressions passed with `funs()`. -Consequently, we are soft-deprecating `funs()`. They will continue to work without any warnings for now, +Consequently, we are soft-deprecating `funs()`: it will continue to work without any warnings for now, but will eventually start issuing warnings. ## Behaviour with grouped tibbles From 4fe3eea46f5dc01cbdbfecf785d2da1f58bd3992 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 16:44:38 +0100 Subject: [PATCH 28/32] update to match slug in article --- .../timings_summarise_mean.jpeg | Bin 1 file changed, 0 insertions(+), 0 deletions(-) rename static/articles/{2018-10-dplyr-0-8-0_files => 2018-12-dplyr-0-8-0_files}/timings_summarise_mean.jpeg (100%) diff --git a/static/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg b/static/articles/2018-12-dplyr-0-8-0_files/timings_summarise_mean.jpeg similarity index 100% rename from static/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg rename to static/articles/2018-12-dplyr-0-8-0_files/timings_summarise_mean.jpeg From 59889b41a0c4493b52d08e29b8837b107430c614 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 16:54:46 +0100 Subject: [PATCH 29/32] using the %>% --- ...2018-12-dplyr-0-8-0-release-candidate.Rmarkdown | 14 +++++++++----- .../2018-12-dplyr-0-8-0-release-candidate.markdown | 14 +++++++++----- 2 files changed, 18 insertions(+), 10 deletions(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index c255efe59..15bf713ee 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -195,10 +195,14 @@ data <- iris %>% group_by(Species) %>% filter(Sepal.Length > mean(Sepal.Length)) -group_nest(data) -group_split(data) -group_keys(data) -group_rows(data) +data %>% + group_nest() +data %>% + group_split() +data %>% + group_keys() +data %>% + group_rows() ``` Alternatively, these functions may be used on an ungrouped data frame, together with a @@ -375,7 +379,7 @@ function that has the same body as `base::mean()`, we also compare this to the expression `sum(x) / n()` because it woudld have been handled by partial hybrid evaluation in previous versions. -![](/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg) +![](/articles/2018-12-dplyr-0-8-0_files/timings_summarise_mean.jpeg) This is not a comprehensive benchmark analysis, but on this small example we can read: diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown index b0d93d64c..34991742e 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown @@ -274,14 +274,16 @@ data <- iris %>% group_by(Species) %>% filter(Sepal.Length > mean(Sepal.Length)) -group_nest(data) +data %>% + group_nest() #> # A tibble: 3 x 2 #> Species data #> #> 1 setosa #> 2 versicolor #> 3 virginica -group_split(data) +data %>% + group_split() #> [[1]] #> # A tibble: 22 x 5 #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species @@ -311,14 +313,16 @@ group_split(data) #> 3 7.3 2.9 6.3 1.8 virginica #> 4 6.7 2.5 5.8 1.8 virginica #> # … with 18 more rows -group_keys(data) +data %>% + group_keys() #> # A tibble: 3 x 1 #> Species #> #> 1 setosa #> 2 versicolor #> 3 virginica -group_rows(data) +data %>% + group_rows() #> [[1]] #> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 #> @@ -609,7 +613,7 @@ function that has the same body as `base::mean()`, we also compare this to the expression `sum(x) / n()` because it woudld have been handled by partial hybrid evaluation in previous versions. -![](/articles/2018-10-dplyr-0-8-0_files/timings_summarise_mean.jpeg) +![](/articles/2018-12-dplyr-0-8-0_files/timings_summarise_mean.jpeg) This is not a comprehensive benchmark analysis, but on this small example we can read: From 2d8d75a4705cae4174857c9c3e0867cee2119cff Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 16:55:19 +0100 Subject: [PATCH 30/32] less -> fewer --- .../articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown | 2 +- content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index 15bf713ee..6832749dd 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -289,7 +289,7 @@ iris %>% In the example, the `base::mean()` function is never called because the hybrid alternative can directly calculate the mean for each group. Hybrid -evaluation typically gives better performance because it needs less memory +evaluation typically gives better performance because it needs fewer memory allocations. In this example, a standard evaluation path would need to: diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown index 34991742e..b94710112 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown @@ -493,7 +493,7 @@ iris %>% In the example, the `base::mean()` function is never called because the hybrid alternative can directly calculate the mean for each group. Hybrid -evaluation typically gives better performance because it needs less memory +evaluation typically gives better performance because it needs fewer memory allocations. In this example, a standard evaluation path would need to: From 6e94d83b9e38353d920350aa34b957c06c208f57 Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 17:22:09 +0100 Subject: [PATCH 31/32] + planned release date --- .../2018-12-dplyr-0-8-0-release-candidate.Rmarkdown | 6 ++++-- .../articles/2018-12-dplyr-0-8-0-release-candidate.markdown | 6 ++++-- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index 6832749dd..a76f25e92 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -31,7 +31,9 @@ issue <- function(n, pkg = "dplyr", org = "tidyverse") { } ``` -A new release of dplyr (0.8.0) is on the horizon, and since it is a major release with some potential +A new release of dplyr (0.8.0) is on the horizon, roughly planned for early January 2019. + +Since it is a major release with some potential disruption, we'd love for the community to try it out, give us some feedback and [report issues](https://github.com/tidyverse/dplyr/issues) before we submit to CRAN. This version represents about nine months of development, making dplyr more @@ -40,7 +42,7 @@ respectful of factors and less surprising in its evaluation of expressions. In this post, we'll highlight the major changes, please see the [NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more detailed description of changes. Our formalised process for this release is captured -in [this issue](https://github.com/tidyverse/dplyr/issues/3931) +in [this issue](https://github.com/tidyverse/dplyr/issues/3931). ```{r, eval = FALSE} # install.packages("devtools") diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown index b94710112..255727f25 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown @@ -17,7 +17,9 @@ photo: -A new release of dplyr (0.8.0) is on the horizon, and since it is a major release with some potential +A new release of dplyr (0.8.0) is on the horizon, roughly planned for early January 2019. + +Since it is a major release with some potential disruption, we'd love for the community to try it out, give us some feedback and [report issues](https://github.com/tidyverse/dplyr/issues) before we submit to CRAN. This version represents about nine months of development, making dplyr more @@ -26,7 +28,7 @@ respectful of factors and less surprising in its evaluation of expressions. In this post, we'll highlight the major changes, please see the [NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more detailed description of changes. Our formalised process for this release is captured -in [this issue](https://github.com/tidyverse/dplyr/issues/3931) +in [this issue](https://github.com/tidyverse/dplyr/issues/3931). ```r From ed81d406d4f9ee5e09be60f8fc3ad06ce8ea177e Mon Sep 17 00:00:00 2001 From: Romain Francois Date: Mon, 3 Dec 2018 17:48:35 +0100 Subject: [PATCH 32/32] =?UTF-8?q?@batpigandme=20grammar=20changes=20?= =?UTF-8?q?=F0=9F=93=9D=F0=9F=99=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...12-dplyr-0-8-0-release-candidate.Rmarkdown | 22 +++++++++---------- ...-12-dplyr-0-8-0-release-candidate.markdown | 22 +++++++++---------- 2 files changed, 22 insertions(+), 22 deletions(-) diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown index a76f25e92..87e989222 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.Rmarkdown @@ -34,12 +34,12 @@ issue <- function(n, pkg = "dplyr", org = "tidyverse") { A new release of dplyr (0.8.0) is on the horizon, roughly planned for early January 2019. Since it is a major release with some potential -disruption, we'd love for the community to try it out, give us some feedback +disruption, we'd love for the community to try it out, give us some feedback, and [report issues](https://github.com/tidyverse/dplyr/issues) before we submit to CRAN. This version represents about nine months of development, making dplyr more -respectful of factors and less surprising in its evaluation of expressions. +respectful of factors, and less surprising in its evaluation of expressions. -In this post, we'll highlight the major changes, please see the +In this post, we'll highlight the major changes. Please see the [NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more detailed description of changes. Our formalised process for this release is captured in [this issue](https://github.com/tidyverse/dplyr/issues/3931). @@ -49,7 +49,7 @@ in [this issue](https://github.com/tidyverse/dplyr/issues/3931). devtools::install_github("tidyverse/dplyr") ``` -If needed, you can restore the release version by installing from CRAN: +If needed, you can restore the [release version](https://CRAN.R-project.org/package=dplyr) by installing from CRAN: ```{r, eval = FALSE} install.packages("dplyr") @@ -62,7 +62,7 @@ install.packages("dplyr") The algorithm behind `r link("group_by")` has been redesigned to better respect factor levels, so that a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to -match the observed data. This closes the epic issue `r issue(341)` that dates back to 2014, and has generated +match the observed data. This closes the epic issue `r issue(341)`, which dates back to 2014, and has generated a lot of press and frustration, see [Zero Counts in dplyr](https://kieranhealy.org/blog/archives/2018/11/19/zero-counts-in-dplyr/) for a recent walkthrough of the issue. @@ -367,8 +367,8 @@ hybrid evaluation, they call back to R from the C++ internals for each group. This is an expensive operation because the expressions have to be evaluated with extra care. Traditionally it meant wrapping the expression in an R `tryCatch()` -before evaluating, but R 3.5.0 has added unwind protection and we exposed that to -Rcpp. Consequently, the cost of evaluating an R expression carefully is lower +before evaluating, but R 3.5.0 has added unwind protection which we [exposed to +Rcpp](https://github.com/RcppCore/Rcpp/pull/873). Consequently, the cost of evaluating an R expression carefully is lower than before. We ran a benchmark calculating the means of 10,000 small groups with the @@ -376,8 +376,8 @@ release version of dplyr and this release candidate with and without using the unwind protect feature. Just using the `mean()` function would not illustrate the feature, because dplyr would -use hybrid evaluation and never use callbacks to R, so instead we defined a `mean_` -function that has the same body as `base::mean()`, we also compare this to +use hybrid evaluation and never use callbacks to R. So instead we defined a `mean_` +function that has the same body as `base::mean()`. We also compare this to the expression `sum(x) / n()` because it woudld have been handled by partial hybrid evaluation in previous versions. @@ -449,7 +449,7 @@ but will eventually start issuing warnings. ## Behaviour with grouped tibbles We have reviewed the documentation of all scoped variants to make clear how the scoped operations -are applied to grouped tibbles. For most of the scoped verbs, the operation also apply on +are applied to grouped tibbles. For most of the scoped verbs, the operations also apply on the grouping variables when they are part of the selection. This includes: * `r link("arrange_all")`, `r link("arrange_at")`, and `r link("arrange_if")` @@ -467,7 +467,7 @@ For implicit selections, the grouping variables are always ignored. In this case ignore grouping variables silently because it is obvious that operations are not applied on grouping variables. -* On the other hand it isn't as obvious in the case of mutating operations (`r link("mutate_all")`, `r link("mutate_if")`, `r link("transmute_all")`, and `r link("transmute_if")`). +* On the other hand, it isn't as obvious in the case of mutating operations (`r link("mutate_all")`, `r link("mutate_if")`, `r link("transmute_all")`, and `r link("transmute_if")`). For this reason, they issue a message indicating which grouping variables are ignored. In order to make it easier to explicitly remove the grouping columns from an `_at` selection, we have introduced a diff --git a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown index 255727f25..dea2a3b34 100644 --- a/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown +++ b/content/articles/2018-12-dplyr-0-8-0-release-candidate.markdown @@ -20,12 +20,12 @@ photo: A new release of dplyr (0.8.0) is on the horizon, roughly planned for early January 2019. Since it is a major release with some potential -disruption, we'd love for the community to try it out, give us some feedback +disruption, we'd love for the community to try it out, give us some feedback, and [report issues](https://github.com/tidyverse/dplyr/issues) before we submit to CRAN. This version represents about nine months of development, making dplyr more -respectful of factors and less surprising in its evaluation of expressions. +respectful of factors, and less surprising in its evaluation of expressions. -In this post, we'll highlight the major changes, please see the +In this post, we'll highlight the major changes. Please see the [NEWS](https://github.com/tidyverse/dplyr/blob/master/NEWS.md) for a more detailed description of changes. Our formalised process for this release is captured in [this issue](https://github.com/tidyverse/dplyr/issues/3931). @@ -36,7 +36,7 @@ in [this issue](https://github.com/tidyverse/dplyr/issues/3931). devtools::install_github("tidyverse/dplyr") ``` -If needed, you can restore the release version by installing from CRAN: +If needed, you can restore the [release version](https://CRAN.R-project.org/package=dplyr) by installing from CRAN: ```r @@ -50,7 +50,7 @@ install.packages("dplyr") The algorithm behind [`group_by()`](https://dplyr.tidyverse.org/reference/group_by.html) has been redesigned to better respect factor levels, so that a group is created for each level of the factor, even if there is no data. This differs from previous versions of dplyr where groups were only created to -match the observed data. This closes the epic issue [341](https://github.com/tidyverse/dplyr/issues/341) that dates back to 2014, and has generated +match the observed data. This closes the epic issue [341](https://github.com/tidyverse/dplyr/issues/341), which dates back to 2014, and has generated a lot of press and frustration, see [Zero Counts in dplyr](https://kieranhealy.org/blog/archives/2018/11/19/zero-counts-in-dplyr/) for a recent walkthrough of the issue. @@ -601,8 +601,8 @@ hybrid evaluation, they call back to R from the C++ internals for each group. This is an expensive operation because the expressions have to be evaluated with extra care. Traditionally it meant wrapping the expression in an R `tryCatch()` -before evaluating, but R 3.5.0 has added unwind protection and we exposed that to -Rcpp. Consequently, the cost of evaluating an R expression carefully is lower +before evaluating, but R 3.5.0 has added unwind protection which we [exposed to +Rcpp](https://github.com/RcppCore/Rcpp/pull/873). Consequently, the cost of evaluating an R expression carefully is lower than before. We ran a benchmark calculating the means of 10,000 small groups with the @@ -610,8 +610,8 @@ release version of dplyr and this release candidate with and without using the unwind protect feature. Just using the `mean()` function would not illustrate the feature, because dplyr would -use hybrid evaluation and never use callbacks to R, so instead we defined a `mean_` -function that has the same body as `base::mean()`, we also compare this to +use hybrid evaluation and never use callbacks to R. So instead we defined a `mean_` +function that has the same body as `base::mean()`. We also compare this to the expression `sum(x) / n()` because it woudld have been handled by partial hybrid evaluation in previous versions. @@ -713,7 +713,7 @@ but will eventually start issuing warnings. ## Behaviour with grouped tibbles We have reviewed the documentation of all scoped variants to make clear how the scoped operations -are applied to grouped tibbles. For most of the scoped verbs, the operation also apply on +are applied to grouped tibbles. For most of the scoped verbs, the operations also apply on the grouping variables when they are part of the selection. This includes: * [`arrange_all()`](https://dplyr.tidyverse.org/reference/arrange_all.html), [`arrange_at()`](https://dplyr.tidyverse.org/reference/arrange_at.html), and [`arrange_if()`](https://dplyr.tidyverse.org/reference/arrange_if.html) @@ -731,7 +731,7 @@ For implicit selections, the grouping variables are always ignored. In this case ignore grouping variables silently because it is obvious that operations are not applied on grouping variables. -* On the other hand it isn't as obvious in the case of mutating operations ([`mutate_all()`](https://dplyr.tidyverse.org/reference/mutate_all.html), [`mutate_if()`](https://dplyr.tidyverse.org/reference/mutate_if.html), [`transmute_all()`](https://dplyr.tidyverse.org/reference/transmute_all.html), and [`transmute_if()`](https://dplyr.tidyverse.org/reference/transmute_if.html)). +* On the other hand, it isn't as obvious in the case of mutating operations ([`mutate_all()`](https://dplyr.tidyverse.org/reference/mutate_all.html), [`mutate_if()`](https://dplyr.tidyverse.org/reference/mutate_if.html), [`transmute_all()`](https://dplyr.tidyverse.org/reference/transmute_all.html), and [`transmute_if()`](https://dplyr.tidyverse.org/reference/transmute_if.html)). For this reason, they issue a message indicating which grouping variables are ignored. In order to make it easier to explicitly remove the grouping columns from an `_at` selection, we have introduced a

    GHN>E8%IHZVuUiXHl0`gQ8;V(mff!eD;g`wF3z?y?Fl z_ZBGiV4r5(ct16v0h1^z+R$Ltwlh}-Bfz6rmN6Icjw*GZ;go0BhZOKr7t#mMK#vVr zFGfDd3D8Ad^fD7P5>9bzpLq%vgS0NR6Ej8Pmz@nB~Y zzx%En@aurJdmnnq5KIqmxp{xW`9qqCY@;W24oLfgBe`Igh@qb#S2h6Uu`n4aG>KW0 z#7M1=uR+w3(Ry`Im3RpRHJngZ0Ls_+^lmDw$%6wEYSk!yj0h;8>|$tEf1R93IswsuQ?KKPmWb{?5>V#0;L*ot`)RRJ6+_PpH8R^4Zl5H}GVsq;PI7_~g?nFgCn|8~uq$G8r z_#9Fe`<4S=B$YnyMyJ)sO0KLS-8{iq1%C12nLS=mK+%qrf0A;GFZV^Sck}{hnisU9 z4pVIM3~VvW7hg$D-mT0I%Xf(w6z^VFz)b^h1Q-abpcE{#{K7XdXyk{2=wc{j@v zlAThNOrDo_*d6gim58|WoMp_NdM4V4VO5(Pc|gO96qgOmMSEMgL9K?=CWF;+clQup z)BwKn4MSgmdMO3QElZA1O?Okj&H(A6XAfM28+A88Q3k1Z6f7ls`o?y@6o1qKh#{Up zw5Y<@i@Bd$l0cG|?q@lV7_qU(7e(& z&6+^^`c{a-%jGuxB{`!nfZ*8|25d~ zoON$S!jEwtsI>6AF+j<^61Yul?$l?~)_Z#7Y!bjj*pEJpnJ@hf0HD8d6GktveCoe- z``*>h{#GBysun{MrJd-6c9ilQybB*h$}RhLciY$<;iGU%4GihaG+5F?iz=*kD({#5 zG~XUTgf?shN?8lx&BTvrfnQ@QD^6R*=5)Uz?n@ek_+<&Fx1%YBbg#^ACmD`Rlr?)3 z96&avW2(nDzNq_6bjJ5cp2@Z1zNjJaM}Ch(voAEM0=?k)s{vpPd^56CjhszZ?{~8q zak_1tU82S|zuCY-;~}8VGo!u@6Qq#4m~Z@i1?~FJF_gfUCK&A{9ZJ~R*5?vvbBnl7 zwv3=pPQo}D3tJW{6lG@5vhWVvJu(lxnl%;;SseuRJ4jSl1tG%7UT0H(T-fE-dva~X zogF=$JD}U6zrRCvhJYA9k39@apkcb*_7xIS@kdJH62z(HY5zjk*BAX2)yDv56|GjF z^;0i{GEV^z>8ccQdEDC1F=T{@$SSoM?MKbmOxeCvn(n$HW&7!J%vVc>GaM=$L6cH+ zW5j*>-|6kMSVbU3VK&kvd@SDGb`872XN<6^rC9pPz=;WT3CpQqOs%C zn@^=Rev!OY+>LKgoB$&fxb-_kB0xti=!udfa<_oEe*(LKwzRbKc)8pq5Q{ffGr;?T ztj8J2Tiz3d{yYg4kl(XRRydpggE`e@oV|-TE!Kw#H(IIH&nKhM^)Hp@~-$otLl9x_3d{=Y~G7UKqu?BVv*Vo#N?5N6~xZ zH9h0dk5JEhlGhmT;trXvy14%hP~{E?=XBbgN9!v2IP18W^`fK&q7ep$b-S2>GfGOz z;+p?mpXV^j1nI8QC{@LH-sOGt3bi`Q25fx5S2ZVje|qn*tVg->+AfywYc4{#hik7 znY7=(1FPB8lU_)J*s8qooJ7@7Cnn9(fSvQi?f`3Vu)WO<+`#v_!YE;yeVdo)ucA-t zzf>@0(ou+__opA96+Gk)W<@G?N&Po1=E2Zc?q|TM*b+|n5qKMIhv6~FlW2^1lA=og zy|~zHKh5r5&ntgQHKc|E?!q}C(CtC{mJ7kA)`Muq4(yEIemef=BG5KJj*Pz!^$Z&% zrUi65Du_ke+OIXE8{$YQ6b2k_XT7}YdXKihGU?bLRmxx=bbttHI2F7HtJMhY9?6Sn zLklQ)708WyuhwjWY9g&Gd=KnAz|n^<`Os*e|VP=X!9VRmthRYEw0JVswvNc%58n06`X zam8N=j=~}^=$cPG4ih7dwh)$OgR#!d!5{r?d-fE^nq#JQWpV5C)-j(Tl4k$w6VqW5 zrwHGNjBR`q#_j=4?GskQzkSkE&#QX(F5Fb_1K?XOkr}uV9;o23tYe+Q%%S&Hfke5* zhGM<~Q{{>E@!!ay6h6*CeZyLGQ~Z1t0f2Kt*d3T!KfUbNyiH3mS4OXe zr0=zXeNKmf;_F%w19}1L?<98ojdC4|Htmig`JA72v58l2s|oQm>Dr+}z^|7>M4@0b z3pY?pu>9LIy zL?&-QDzB=kfTQhz+QFX>9<%xCrYN;{*WxLU9bT_V4HwyeNVdGiY?SViwZhk0bH3kiG5;~ zi1G%Cqt^h~v+Lf@S$NKua_pCbRZbA-4pwKH%TTdsL9Zlg8h4-R|6r%;c97HU+{Q0( zYVQF%BFG=se|f$FJ{P&|D{1!e_r?hG!Hj~{<;=ryBRxdM#-z|7sl)tL_uz|JTm?Mx zz0t;xJ&mixzRBvwx}I0|94VLsqF>tY`MT zM9>Zy{Zu&wN4^9o-Bh+zyKs3Cx1h9qgxNS0T6td**17Tzt(7{R25(9a$d4N z^x5Cd3gi~neMWBq)kA;-ouReo!>7lb-ofZf+0jSf)q za9b=!!OhRxm0(un>Ef}^Jv&4XsFj;#Z>EtBC+$Kx_~Bb-$u~?0zE6U&!ZCV%fo+tM zyf2v8uH%(u8!|f8I^^LnEB}VNnzWUzQ)4Q6 zwm`=b!5M$(*Bx20{l-!@Q6fn$G>9xD;Ef&Y8K)p}PD>v43+ek|xP30^K)*>wX*(dW z*48SAJcu+)#>ST$OlX74qrd$>X+gB5RyC*a7Tiu@3#q`ZFnl}{y@-~KYFl$tb%YaZ zv&M*Ysvhb_p^ZJi1gbnXeP_!$Qtms)*(i#KS`ps1M!^l=hg@+6Pp@cGMh3>8I2J4- zj-V5KZCAg+HzoXlFkCHqrj<@+Xg5ufb@XIH)Dl=9R`Q*`C0(e=E2x|Af{7F+dhe16KxDyv6HN4jALS0;a)>IU#xCbOeI=RfB3-zf zO0y-7`l>6&;ofwWjRY&S5~ufuxu?Pvl6{E;)&Qg+h1Q4BTa!Ii0g2@rc$K|{lEreJ zAW~fgaTFhJiTlnVnp3dpKG~C`q%g_yu^Z0}S9f2_Vn_(4yaAc=lWVp?hL~t&H=){C zp8RvRkxbkNiagO6k@*6QOag8yET_7ZeAa{uO7gcYB-sWLNEgb9D*Z}Ye`T=&8y2() zVHv$3+8BI<`0$8YoadYtHbtP+!My5HI4SFfJ2jy&8+@?IquG)G$=YSoA_@s_=WQy@77bs&YOW2)T{a6F{rNLv-4 zjuKhdg9m{07M5d=+vBXWQ+B7EJqGo?hChf(`C2xEOD4)m{FVRuDAk$+b&DWIL~{#h^Jn&)7#HQu;;*FdJyt8wNMt-+-bdj- z^Z}8skJ{FY@0n-4dj;mp(bv*?wGow(SHcT+HavuV<^D zf!K=NuT;JoVBhbY5Ez`D@?y90=d7dXlN2T&jsQp@$%PZPvQ*3Zxd+yC?-GkdC$V+& zC11rQf>}SHojuXuoNd%LOtX5YU_;$*!eMtp+~t#}o8YJSn`fmBIGg>ASp!eoUhR!0 z>w}iyo|zcBg07hGayMcKc?^)}Y~Z$EH1j3lx}GDUlCA`tX-THC`JC!XdDVAH9N(!@(ACv0+B` zti(RM58Jf>)jYLPXI4ACImYfrA~;exJ41_+jSE#vKhZ&sTxkT{#JM{{t_aHBr3I@C5)$k*s%50O@} z;aK{cuN``@5X?YcLR{ZqDQc zd^y5vX;Fhk>j)wl0WrDDg9$Bg51L~-PVP1Z19*N5E7u(5go$LAhVV=dA=rL=damOF ze+tiC!4C#F*9bzwzLH4gK4WkIy*OXs)eTI>@;GbA%vsqDh!|yaEp#%raFX3RBZkge z!T-Q-nd^kXgqHu|5;DLia_^joURQXrJA9;@ZeNdsXSeP*snCBibm$coCuPq_JtbOE z660|=#=VcAo5e`e+X73Xm>&cwl- zw+r;JbF;dHYdK8S ze7};`ZC42|lPu2O2Ulms)4M5jI~b3`=?oE{x~RVaz)D*8!+QZ-{Rip@u0B3YMtmHC zzwo;UhG$|LJ~VG;F0^~z*+=d~J0Q$UDHAGyd}fmVtb0T-Dn8p44b3#UNYqIVagP>hm42R8qbpYhJ+`{6~&ZF>^pNP3q z5!6*vko67w4*8*BJsMNiKf(F~K*pg9KGGJFs@XlUJ$4J~Fo_ArAClXS6(q4j##@U$AfNIl~kxUE4y9x-)V zzqQ9_m|u>+)9368V>JVlc}t@g?Y=lXA5X2H@7s_HSKx%2xZW}${Rl}$lyD|;woOIv zer1w58*Yj30?@goSk;wm)4{z@9s!z6aKXsz0U*-^3F`?k*Ce&}Ag z(gnUh3Sv5Ze2U408T}mW4&xp}QfSKgZm+wnG~(4-rEaK(j}m-*J#V|D>9VrsxXJDh zg7%BdKM9ow6!~j-AE67}#~(NXC!IN~Y%ti_ocp;(_E_ceVAYW#g(WU*1A_*b{_5u( zNIR-p{AoPf#N)&GUvsak(xA_9=F}E6Q|nX_zftOA7p0`-3-GIeO_-ulyGWM<6H>-3 zIm=S}Jdf~0ur%G+G`==myRk(Vg~xs+{RP6&1WrbD^zzJ`8C5gyRTP(8&=kbi=51D8 z158FLeSpnHYDwRmHpSrX1lux1*me0_QJPCHm#? zSJIVw7mP-%`bxS*q6F@L@@H)rakEdeNn=NKp-o~%`lOwm(66&~d$gR%JHZ3a-`p=s zv*~V-s1H=z+}T!mMIu||)a5h$7?IQwCy{m*D?gniOmFu6CCTyjz4&^J(cz>dG8u^O zN+8mdH{QH}80AZ5DVe~wUl-1T%^l~4(O7^p;oQ-@@9pGJW;ED?I;GpuWU(Q90N ze4n>(-?%y+JFv#aH)bvI0flJ|^!1asO~yN9Fm8dDadv>SZ*zIHMTO|VD7Sq@yzDUj ztjHG<2hNtlnDJ-GdI;iuJjp)+FI%peu98K&X3xCv!$Y29&B>zpVLr_78o3}W4~K1M zZn$p{?OB2UiOh4(o_+C`KWv;@fFdQXm+qxB{m1Da0&iG1`ZIIRxaq3k2_SpdgtC;b zDwB0p!_Sz?oyOW97lG3m>;7P4zZktQCcZ_MY2A(XHs31PTaom|4}dJV%llqsQo*-$ zoK`d&;AHV~7o^?cx)oss8Nl;8CZm=gI^8If-FuPZ`LHi$xw!y4`bB`-5Z*Cpp(}i& z+h>K6?r2KLzi0vdwR}-I>uOc_ewPi0yhGbl+l%P=5QBW~1@>{kpf;x8TuK&9kuY%Ombm> z2>glYmP_tq){o9ZEB}!R=|FJ$jCUi20{VV1Bd?jv^_~p->}gL3i{tAO=$1;t3q|jt zqSj|TV29v_{DRGspJtLYh=6Xk3aFl;AG9490ddD-^+I#?lVRyWXYBSTwUfmw`?P7=Pci>4R{=p5 z>@{q`R9AJ)8W|WG5SFP2vrX$)+4SfNn1}L}Tg0b9g62y;{Q{|i)0aAnw7~Q3RE6%r zUF@)_2c7{V9R7#%QPq=p@SO+K9GRJdG{&5~Tj62SovPX~hUywJAQ~nszSs_EPeiY& zwQ8r=)x1bmlLM|SdqwcTsGVt8lE>e+&>-tA$FBl9xG;bl_HIG?M^RDzllw*y!G8#_ zUkpwTQu@b+Q`Ye6dg|dm9J@+!kaF|PC$ncDh4UMIg6FQ*Unup|Kt1%0FK8AKkthO* z+2q@!n(rClt#JH`f;@>UkPjhp2(UYE8wW{6tE?NDNdNOFOl=D{s6bcFN*S_vMvSTC z&fosvR%g%LC>lFn>CtS%^%R3=llCdo#fPh=!+Tb{_>_f;t@t?IcRIJ zq=-`?g``THZ8PEN7 zE>fA%%j2{P|LqVy^Ibip7~;unu!Pfj-|^XCAkj*z=%$kqG9;jJ>#QTt#q5lgJv$bx zVH3s3i#yMZXKgWcnf;-2$CjP-S8E~cAn`m@mhD4>4x!*g`fI`h06}=z2Hr136#O*TxFtR(3u`)U% zP$%DBQefj<4<+%a{;C>yVDJ`U0^zTE4CsRdYKc>!%GgYz1pEi@5QIq!NBPD%d&a80 zquC|O$lQfS%=;WWy~Y%1pbFxW_P4902KkSFGpA{Kp%k>h^)3`@A?jrUA%Qzp@wS1z zwIFoO$y-#P<9UD=U ze$Odoy0lR$r*zD3ISLLs>SkZ1kt? zI!Y-hW!{}xRd9)bIgk?TkE#pSNO*w0v+K4PEOYOyw{Ppx9u-FT{^!a7$3x5e0r3@< zqb_?&{j8EitBl@VW|^}^sNgm6Q%LCMge>t>Tjzy6$#{4Q@eBXlz*hdB6o+6=J?m99 z>1fini+h8ywv!630+s%c7p3UVc?#m>KK04czb&_00W}+b+a~yG|MB8?RO)E=jqE{! zzbd66DIi|${iAJ_{fPAng`>Gq)W1}|_nIkxueJUAgJyFmF8mud(NL3=4av3HM)qRN zSNA*_f<`w9@$w0BHWIVO;KhF3ZC(Gp)VD|(q^0gqdCl_7n`2zO1|q$Qi&Tj&({nPEu@{iy=y&2r7q1%6>sdvh%l_+dDhorF1y81@T#M zs0t8pb3(quOnO*jain`;-^TEh)!x4xc(vty9R^?N8Zy)p+!HKnl`e5N4k{L_IEBhp z-l6j}WT;_5wbQ|;?}-W}^@O|NJ>LT>9om2`)jjjJo#0Z3hfgt2|~LD zfjDP=0<~&fQVQ5$UJ>!CSMz~+0ARRulL>uHDrk`|NpJXC7@wb38`!l1?`*90_eXn#Dq$ytQVo*qUa(9iXGg!BpR@PRTC!Gb z$1H#{Ubs{B809oXTQXKJU=&tF9(_e{q2Ew`elHVt&`QnkKtB{!H>-+B7^}k`_9;So zymr9BZ=F(HHlQJx*|XL?$fC7_p8Z;O`dOAWtdpNdNH`5%|MZi4|HSVv3EV@6jM!tJ zF&7D(B5i7ILO5w_PV6bfFCAn|FUTt;!%DRidJtgtXbZQk#kFv9)ct20TnD}G9h|8a z9=!3J^Ma1rf>Rk&>6MBz=|SR2)0TnBv47nSy(PYxSeg(10b3@b`Qtgp<7!p5p*uUG zgO#ak`#X-wm&R~FTm@jmu5y9oj`pHa^x8MY%@IyDr|16=sp0n)y^;{#JZ>woxQgVu z{NFuF!!6J2H$ay{2mht0VonOnI0%eG?U2=dvQ*_&`TYEevfYt-qRZt}q-xhGkJ8F;5JmAt>-{(TkumXb- zdo46}WVQ+--0{*s{WzMSAU#4NTZ zKEOS9%n_Zyu0nnR8?CdfsSs;?fJiMjf(#g`MOK9mH{`}9!_x^Ju+abxxqy7ou^j>U zf*%xLqgH@rZoPfxZ1LHQx2bQl7KbnhHln|&%}aJtYL~&x2-shDf24Kq25T+l@t9@s z-n0aO`wt9HCiQjHvQO=I>x0XdPKI5?c6%&+3g#lr5W$gb!%?Wc^OMeAtV{5 zZpq=Ie2ECuz!Pc4naj)F`s(1ONjITN)MTkx)aGnGoiTrbs}p>s4JV*hQ=5_Zu&8Ci zx|-~n%Afv}vl*ZXd?qKB^J@p3rwFz-@f9ugE2l@mV{K{Sc08w`dmb1pmEqmBr{WkI z7%Q5OdUn8Sq@gv^bq3#8!3KJReuR{F3s{#=HVZ_318*EQ86LG)KH=@=H^0Ilu-i%B z-0TzZw{2^=pdM{(o1#)Y^|+uG6|`)?~*l1~)7MItxkj%elENC6Ti1>4875@?!vt^I@diu}1IwbxY-a37Te*C3`m+ zoD1w{FRx8iOldr1@%2u1aH=L>?q-V zb@a_*gA;x^8E*lBJnM8DJx~20)Y9^#15I;-!R_>9@gL-OaI}+gIN7=0nK$L|nb%Bt zylxcd5|^tN&I1PM7{ZTaQ5lirKtD-Y;-V{hp#a{@K~;nY*n;H2gZ+Vu+d41!sU}00 zJ5LY3f#cO&>PP&`c39o>lh#bBIIxoPE&_a&06engOscQ8RY6&x3x4(N4sXeoHf*R4&Zdr=E|GiOoD&RGtKgEy6-1**6$# z<<&|x?@cO1{=t|kN7kHIXoD)KC zTlT}1(HnPSX-PB(5Ae93PLm6?yYh5^Z{E3Vw>x`QJm?>0CmHm$L)QWICpe5pp~B>$ zI8vSkRluIlJRCxM_Z}5iw&*I&sg*qLRp&*PNgvJd!)-_emd5WD%fLM9jt2~H9+SW* zH3y>tOo^r4k0m^Ti68IBDP+^~-lOx3LLUXHe3g*@#xxCvv%wlc@Y}etLG-fvRkd>p z!>NG}uW2l5gs^z%KPEZgfVq%vCT;UZH2%GwRoHC@h@?BAnMZ=2!8!YERo60Jt~AA*GKvct$K`^xLC~CHjydBVURp!mm4#<&U;%>_@zn_m^ps0Rn)5%E@kX$p?%25bM5XK*GYdP_6@+WN5eqj*(P(-sh(GMir@9du&u0obC*| zCAs+Itcay(5$nDj0&E4^Ky@Cfg2_z>ZNc6X-;}7(j9#Yqo)5bq&r18Hc_{mpHp=S{ zQhQ0W_dugq=5Xwf$Mm2SNc$ix$xy?Dsptb7;lpfWw|`cx0k*vo?d=BRRSu38J&+J+ z>@t9K&B&XK3d=J(D-I`iY9I}^*St@jgJai1EjIHIi1vOOsfS@E`v?$LW7wjc3f>RIex8MyHhN0VmkTG2LLp z_Y}XfBsZbmrdtE4$+0!am|XP;^W+zWKui;r`;#2N;osA5^=#s|Gc4kcJeBi9z;|ee zN`D`C=8Xf~G*?2o1eD*Fqdhg(A9(JahyC(wC)WQz(|dkz^T-eziwyw>xTz`j8LRms zNqX~O%Uj;U#xF`9T*ADxUyD2Pt++>&!9~F3`ZI=Z0 zZ4(Mi;;*~+Y+^1cjm4KHNXPK=zeaD~CBf4y62MB49|kvzh_7QE>tZD} z-TVm~9e=Yg#CeIm+0qrR7FnKoMf$3NxO7xHT+B7J8eNt(=@`AX-rm;p4d?i4RM8F^ z?^3uf0GCuk89ZAo+r9A#Pbg(Ruf`q%A=%9gLJFRAJrUyD(N@~v59b3{Xyu`$V*`2!-atKp#Dx6c zQMi+-7@q=iob>N_)RY?T|ZP7TW3?T=LiqsKTU5u#6QUMVV!pNbu6%{2# z6jX%Z1gjDi86t4Bhyf9T24xc^Knx*7GRZi{&pprA^}Vj|AMpOkOTpxf$K(FEkK3r; zC=Q2Myc|UKDTSUJ=4nUPPb`?Q?b2TR&oFdS>l0J3f>-Ym+6G}`=B65d82Q(u;zv!0 z?Z3%lCSPB4!0jvIC~3PEi6*96kD(tK?^5lfs;&8hm>{a(Jzi@k^k_jIJdv}>z4Ms0 zq$f1oEXrI9%z{$RNWgIrDup1&`HAdTsdHD3XX0^ItSI9nK1YLn`4}f|vzQIHWN+(% zDcXMAC{asf*HT#(6H*s;?ml$fvX}g5DnxIWuVE)=xGT>hL9cR+6+$ql8U&;X>((;! z`gX}6jA`pABgsX0w5oaKH89d_G2e^1J|**xEeE@bYty}^xf{>4tq?V6Y>Y8{Llv>y z%RD*Vi1WZUcLn_Nt(_f>BBMTKrBG4u?eAHjL}<_@^_$E2MXx{#F^c}wx;#h?n~}k* zMwaJ7R7AH};6OX{n!2l*g$d%pFG^{Az~P*zftoN|jh8^O~{Me6F0} zi^&8D%rT!Ad=nJ~&u^~Rg#QO7L;rtDDQ>hcM$BYt3gL*NiksIi_Xk1u-XM^E#)m{7@;fFEjIo?|9nIKt{*H zQ-OGxP2RWaeuJ@l1SzHFz07Q~5-MKL-ptcqfoaxI7uW;=a$E4lPJ)$p2tI0WO`}4KHC@gR@z5_FTU!9Mc?qfPF36 z6{1{DF@!E&PT-v;1;`k;I)){c4&W(~6u^gLcUJFtu&T*hqwT$YEwJ=ZQXRm_yL3y*5dKOnFhK}V+kv1}4PGzi z+PMxFe1U_k@Q~}rNXEaSd{7A3_kJ)oL#$;~g4L@zl!;)c0p7yr;xuz)XOX`zIjn_K zZf`QzR0A$CX5dF)Wz$kht|I%DWos1ctZ+pwxrb?LL#5vjBK1ZXnU&gyWo=f%>VnmT znr@PzY!5AZwZ7%MlAoAO1GjL+bMS`wiqw+{LrI)k*R2z8z;|5K0kncUasXN~gRCSG z;W7&HkZ(Qif8mwfhepS+K=;9z!o{&M%U@RyraCZ$cD^y>J(A&&HjIysLO^>CZ$Qa^ zwDp^&#~llm=!ZHW>7;2bK(gHsz%MVVM|({^BnzK}mxSgz;XpsIfvJ@)PDZ8_nLRqa zKBAw#qLbcR%YMv{)?{RJf+d+_hW-6uB@=#oF<4JC1HA~S=u~PA=kcJFYg5~TJwbeI zkJ9rOSm(X;Og8x&3RRls^)2I2SNUpa+{9afH5POtbOw=~tS1q&?QsP&B3U$k!~k>G zLvJ)sE+8zsMtP!3NU4VS@;Y~6_TmWc{iYmFe@YsevNA4$hi*x_L`g7T<@!mny{~U@ z(T%fvJmg>CX~Eo;T$gH>u{$)OpRPX6U#`F;e{%_UFrt7CH}(M8BKS?|9kW337cP0Y znQcd;aE+CE@`$AUDiT~3$<^>zF&;97rs@z3i2XpqASH)zR5n{aBtK7xJ90U|maPqp z8UgvtTWdf@^^9aVk>xK#a(^0K$XlTcTpLJ-u7}27sbc~5dnOdd5ix_C4IQi=%PdP` znMN#VQ`RAl9iN21Kso6$oS(e%+eboDM=2b5pZarC|H})!h2Ge=iRt}-M{0Y}j@Bn; zpr^;xJ)35pxhCty-Z+c}f|tzqXhtn0S$^;EPToOG(|?(>1A1M)a+ zOdN;pP|jV$yKZ!yY<6J%%Usekvad9qU_}-fQ&2%o&lp&1&a$s$a&4J27FBMx$g{}I z#q=svp&J_|+x8(xBeE3(%pkz}-%%t~XiA4^d7fKhN>dlrKkMnQp#A>WBNllSwj&6( zNde(8pyzx7=BsvDHGai9m!rlN@@VN1odFW7@exYq3TAJVK4Zb3QfP{l`vtm*1?5Mf z^Xx13!)|$OTL(M-6UeT>R^C#^={MN?Yi3)XYv8XQerniI zH;d=iY3_pF{RoF0qv;;~)ACatve|y=$cN~{s|S_Muv>~?-QlGeU;87J{-DG;VjKGx zs0D+Pv;zv=7B)syi#`9=EK;)o} zHCw{WyFFayEq=U5zU1K9|D-T7?7ScO7@yQM^?v{o@G3KesnO~@`-;6hos>H zQqlp9c*NI4!CL9qX?{;28x}TatOhUV%Qd|IrU|V!Yn5}qBBeymIn&i^IGT8L4d=3X zg&^qa;#+VSDHo<|1*U~Y*8Y!EVK`B-DNH$j9>B`bxv@a{c#b)Si~!;4b|{tK_`N zZOR#jnqd;-iK)R(jo*cbyWj^bXwY}Cylif}=l&qk%P(aK}(+8+`<^U8CkJZOEaQ^M@|DFB)bzyHnch*;v< zG{S5xovv~Nk#T#$llJ)BZ*Qc_wm0uL$ppRqSdlN4p#Ts1CxN065xGU@INaZmdiI8r zD@(DrI836a&P8b-EY*}KC>qy|P_Y)gFMw0L#&!QU-Fvz=_n#l#=dXLXw`sEbgZF@6 zQb^-9_nzGce+nU1?{bedyT{8q)-tVT$>`?3y<^nh-v7c_#c)t4>ns24{h!Nu+8F0RvF?8@H1;UP+%z_<7+eH(Xfdm%1#z-|R zGENzb`_3mi^mgNt`wuref53ukpzi)_UO+nMv1AMoNbo45-@-oJ`i-Vk#2r62cXLt% z#pj(7Bs;~ME!weYkjY93A}l}$7KR-&=ld8!e;rP|w#ecoItw)9*x!B5uHJ95zsm%)NUg!qJtVYeWwa)?VXY01BlgB$9rdv95IhAO#KDpZsz2*mRIo=36@K#tc|UUlP=Z|&-!7QW!XYy9~B>=cKCcr-H|a?8x!G}Wu5EPyH=>F<#wP_Lso-`UH!V~n;cNIV;In; zv$LzlLcosML|fy62J+AxVm0WYPluUhKEJUn``zM*Ryr9;8`Ap3#2Ksii zhuv5~KtRC09;J+kuH8D}$oVxr($5V7AgV4&o!+Hcxa3-m$g zu)1KYg-C?7!Ni05GkGgCp=@uQU-vldt%cDg>KtAXxowr zDTSnG0$(2`Q8h0zdsH{M<~Qv2Mrx<{RP&tu(^!mfr~qwhuR9@|?YcbPHW=j8dc~%P zDK`MZNjMU-ad@Z!d z&<+Sbiq-0ZZwJfY@I#}SPV4t#EuUZ+u->A5tFdQlH}Jg5aNZco#yX;%X4D#B1*OaF zNLFR266BHZpZ)Z%d37V>Cn|0B0*DFXw3Z-+kvWKe`JK1MHFx*8H{1a*a*P%JIi90{ z>)&#dWTfcXFR^JBH3=4)j8V>CA--s7WL1T%@YL+1kfm3@wBBXCw-U_C;vK*6?gG42 zZ~g@beV3%ZF6W1%e?QsY^P9&f=3U0V4*xYpYjmNqcG&LhD2Q0v`MbTpP|kcZgs`!~ zp;^{C7~Ps6b^71a^e%pcJI`cIDk`wC7@et!`QmbB0Iw=(=_@6Mr`6sK#{p(ug?_I1 zjEQ*U8cs($1sY3~xnly&#`j0xMR?c3vJdBX+A5;ZXn@w~03)!@kYI?!8eYvd@8`@& zp!>B%Ee&dQ8hDtc{Zcy!dO;={?mCyin?n09sQjO)=-kNdoz5UzVW}1#HlUp_b>)B~ zx3R5TRWNC0%1grmpsHM{`izPDEDIdxVX>hPAiG_9TH!mu(h@8AX~Ts^wa8UJ^`cpH zpYQdJVS`}QIt>PnP=!ZJ<65s#HYM)=5@zmPpSAD}N1=k7wXcgJaWzf2<%+YJeRPeA z-3${YF%vR13kVUE6V-Hv;v1;bs_ND=mkeg_jl|pN&npb@KNV8#v&0zbg{d%C$^@2o zLwVELpK;-4h&oP=CyAde{)Pp7q8X+OSsM%s6rVsm!bIwUij}_ugs#9`J$doqaQQ4j zzJDWgjXSM_+XR6VcRbb%Stzs_k#oij*7 z`E=4+nQ|jegYng|Ze#Xnlhcj8`xPNDB}+g(VkKkaptG@$z9PK%J4~<$sJ(EbKeBA_ zw4>^Ri3@hNE7pUd32h5167m7P7+3?5%Iqp~_+NV(e8kTX6C7qI5;p+$rk2WOW5*XE zO8j`vjG(4;A{JE(3G2eBwl8q1zf7OJtHCNiDwmfv0HPuC5!|wWd26UE2yHj?ci+n2 zod@1I4TEMd;Z}>{xwsOLAxXCJ8Gd`JxayV6_E}#{Le_N5B@jAP^xu&y5pM^p*w`hG z5aU~_$0U3slVxsR36aOG_cYH~-`C9(cmW`1?2Pq>{) zJ%!-sz0?2(8nmPK`Lh|tiTyAswaEUbDxOkVDb}t`G2y$}#StuMcv+&OOA98Km6H$z z|IKMoR;BNVvVgm#fK>pQE0o88p~VFDFW1X9o|)Iv=*XGeOYgvAB4}eAQ6+kh2qwVc&Qc?5f0 zfv(Aj={A66!ve;_!L-Fzc%=fD;+fYZ<> z;ojZQQ{k0eFTew`k-Mc{F8HxQwPsM)jw)(P^SF9yTk9b`_O1E*ZSNE! z8!$?o&U7UG{DG3qyMs}N3MTbeQ76M1XhdlgA)U;i!3zZUp*%P+43s!5bL+PUiAHi% zmV7tl+8SrH;?JZ6bS6}S(xK;5Lehvs?1A47<_DRuA*;(tPkGfg;Pz)E_S52^lgnV8 zDTxOuZlba374AjI+dFLrw;V10G#C0T+4C$_k%=?VUX|Ew|3r_=5qWlSTv10XvnB(l z#|SsBuZSuDBievNejEqasxJCZZewDZ1zA&>q)(g?eHFQK{nU{|8NG`S67nqPWiP~H z*pY=bF}jp*LG%07g0%_(2sPMj63|JuCr>w@&5Azh_5JTP;)ZG2jP5tEIVc!6d0t+@ zjAV|-h0TVdU=a@AO0H46X+Tu5JXYYhi8EByej6|>56kl{b+9(qnG4#4oN6ztVwdhu z+QtD^-|S?rFmzOG9Q^}Sj>|7}F@>Ln)c}kT#{gVDN=5Jc5fcgjM)ts%FJXtQgo#(v zl9v%VdP@H?Jn4<7v?DH#UV7R0xtcg7Tinp1P6zK`zmIva$xKt={~ zs8&(C#`q0rGt88&Cii0R*TA#t`4L>x&lyIwKVXlU)k}MhT z(^=$^)z)XO8Ij3c^+UjZv*0dS%|IM5tnStyQtTXeZ$th;U&lf@ zbWe1bq zawG%D_ahctgq?eNYXr_n$EwZW`OJTUAI{MNeF>!H@`bWqf@m=BOpjZ|ZqEGh-&lJ^7x*ZFBXTDFegd~uU3o6*Bu$s$`JLHUfE_ATGwaSF+8 z%zv@qg4+!R7lNsPL?4mqV?-L)ZuEfGYeKN{I+($jT2Wgd`-8P~M=AM3VDSLieLmpb z9NH`N!xcOU8r&PdB5TF6o)lM=#|ZLB?C$OhDHNPRQpjsSGTPFZplpxM0HNub&KnG9 z%NTSW;H)jH5OLcwUdB8bhhH>!ROkG<_@Fe{!U$&$uQxHpU9EZ*hMZ$IXY$0pF-;}JKIS8ct-&0VP8S`c5@3n?#Rb`R%IAuMZlNiqs};wd)WLiw^7tfV)4M3^ z?Hkaf0U)+|WRx?M+RQPQf9Ow$GiXqkX75cda!?kEIQlqomvG3f+iVK&TCQEi)3e*G z@S_~lcTb}ONqj$va(+iLgVx4pxZQ>z;vpPzmCN{&jF&Cu3o_p+gL#*%Zq}zYFT-w8 z^ob*u1H4T(@d)9l}7&yUoPq5%pBsOh6*Ni=4~q4FhMX z!Y0eC32pKbRMOTeJnXSw^u^F>cHGmCnEPhs#(2$MAc{`&Pq~4O84SDWW21U;dy9py z&2?y0(=UOF{IOGtNq7kqY1}B4oyzzy%56T}Ta_SYV4#W9h z=l`0-Rc&!I(epVtp$Mm%@!cryvwMxKf zm~(;N!(7&zauSNQE?F|$aQdX2Z-qz$60OUwZoG2eHhcBt+F!(-g{{<5%g016F}LWk z3S3-|t!$kK2G*KHUdR2J4 z9!~Q{`XioG;HH^aV=I{geI#{UxXEMbxTpIeaU8OvvTbQ(z>;E6gRc>a0jWI=z?+{m z!(ay7rf-=biJP?AFDD5F!^QRmRiGf2U;-ye0QHI#kr*fXyI_3z`|Bn2r7p^a zl&5fJVNWOz142gLNl6CQf^}*swO+Fy{A;g8rMJ;w<>2Ke*e%nr+p#iTlG1CYPXfEY zo4C3-xDs%!0#qs`X_ZT{TERVJTV>VL66UQk2rs42N|ksD$^q&G@G1kM$-F;fjCO)| zso%W6nGhM2^*WnMZ8$Z%5Dxz+SHtcgcz}CeNI5%Rg_*BX?u3i_EqifQQE^}X#43pl z`n84EtyS6KoBv~UHkz_L zj*6|q#&nd!k_`7RtS5-{ydUYXn_k#7u#P+__U>nXMGh#*7c#K@l9SCVp3hbWZVvsK zx9|<1C&rTHcJ+M*asqi$@V@5SRpg$-tt{p{-$5NT?RlI_n(Jhy1?cvC}EGb z!NosL5V>jPm8ml;Q!Et)6FPHa;G6Ea6TMGmfFo=%$GeRvmkz9mUr31&%|j?KmNg@v zAW;k$YR@yEmY76n9PLcCU_;eqF_8I8-2+BZ98^06S%PdFbf{J6fMlEr2aQKR>GnEx z`H8~2+K)kMw3v18q}LRBR-vftD{_{^|3>BwM`h_u_zZ6j*UAiS$Qe19K9BYBT0X0A z6lL#2=;TUB9PvUO@QF9&mgOYeR?_7qnoRQM9lBlNoH^2KOOHLDtfYxY0Ep%XU+4*R zZ+*-71G`5i@O3cb#LfcmJT%cU&`pgR9FZRul}30>kXosg*N!ozEg`A1UzQ7v zo2s!*Gs#52P3Hk~TKHOTsq8w}uNI$0&R>k$#MKLx9BE6O{Mw@N4gJrmAX{yV0^W4< zH_=|-HTL6I*gtD)=(>*@RTrD}#B9=0LMwNLmx1G2DKBzmM$JVtXN3p9X4A`HULHSl ze9stsf6|{7x>Va9yJ0w5EeI7xPoDZOvO=5$iNa-6T%qSMAS`^g6Ew+=bpW85vqJJhxe}{M7lsrLJsT zY;?r)rZOp;M1r<1c6KWGM+>E1QyV(8aPl$QU~%QQBCn*5ttQ31NrM>Fb{YRabOOSO zWueWf-{*uRh}k@)1to{pitu|t1HaX5{{KNEruO#Yw*k@c9kK{182A6+4>Rf88ji?o za>2y!Iptyjs9G=%c+HGRZ-eD1i$!EYj5LZUX#v7DTI^NoJUm+0uX;Hj+v16(eP(u= zg`Zfh!?b;oLiRSkfDKUFzfZj6TOE28^z!+k%g14A-P(_3{bM!mM1)8iHP|??29~FX zf!&W@=G|=qVHR<0Mu**5yXnfRyCd)@vb^<{wGOEZu12Y;Pc{zd$XJ_o{QfP=GdMk3 zP(*F?WY^H$_uT$JAaS8duTa{RQR_O8I)5@|*I?Jk}>a9X1q> z_J;rFa4U*J&K}cOR`DrYQJYpoymPIuU0So^_MhQ=JzFgn*pVJ?@?n5`9`UWQ&T2mE zcNb2{(P*O_qr3po1?RFWC^LjddL~OAc#s^0lpl$~%d!uj?(tdnDW@re;dmPIk*`Qs zp+5eO`w2ITajCW?K$!8RjFecngWzpuzEQ7~j)CG;{=(QRcK-x0apivu&~;U6C9QFM zE=1hT{gn$8tcHO`vA0Vn4NNm)gvE)8k)I2`7hMRA{fg{F+iG39P!QCl0?&p!06Kn( zPd;?@ojn6EWQCGc(xy{+u80AQ```a?ubgzs3}A_&G54G?W)Q7nh(W7=) zE&)zdSjv)igJt=qXf3pkvzS}5HBq3!j1L_oeP;7nClv*gRtu6>9rv~#xuHn@TmW#~ zXcW{~(yQ0z2XO+ivz!FMdboA-g5a+_VBJtxhE zj+MsgZK4HtL88;HUg(i)n+EenOxQiOhYnFNHul)0pN~E39duSE7bRczkeiG-Xoc6M z-7X)GFB*68*MNV{%-9>0rhUjPAvlDOemB{!XYBXov}%=T&?)s1@kz`H5+@k^ha=z5J`!- z(4NWfd7ZlMhf0iBMcXY;9sxxYv_D3l!Yr_;ou#zw00~`N;*E)w^yTMFK^q4gi+(FQ z^UF)N=57Qw08Wog5NCke<>@Q*qrV=Q6Si_ia{amObxzn&Fr0-T8z_V4(FTC6v(O{1 z5>hYOGoGdmyFqS(@wob}bF`xNP=LU%N_mvk@C+m=DijCcRf&T}59nr+^3Bg@`u>33 z@fEM5<~mK^JlU~}#Fn|UYJ?|J=R`&Z&b_SF)f|23?F`LgxrMQ^b6-!;Jjk{>q~N-1 zt=LYt*VRPjxxm=2!j1yhbLNj1uAcbPi)KqI(vARxFo*cLS#rcOOH48v6%7U7UjO@T zuNwvQ2J^!~l7Ov&SF*Gw59^R;3q4sB-Ry4*g0Kr7UW)jncwGzNX^{Uk= zy{tyE=VuE;6;6D6{4RIX+qC+x+)8@pDW|R$A-`U1X25?2ydgj zG}|Sq*{Kk`KFjcEnk=m0>FFl8y&)jMBRJKm+o#4}iN4?1zZp=t+LL5nbSyoJmGaF> zuSsPcGl>NQCh8azw*Rx?VKXEdvR6qkxjDedc~kzhlz789s#pM@+Hj1BO(J+znL z{3?ZCe|x<>e7igqU7rowfumwh=yjfZU9VXe;(<#E{bO)(wS%j=Le z36HD!BkvfisOm4eS-9>O&9xK!sK^aX2%~Ef-Z{P|>XMbx(jmsuB#l{kT{M5J;JbgF zw6zQS){*xbu7=gT_r!IgilgA^?Q4Im%fFVQciP@)kW}4;T*6jZh#s~;HB(HQI1yE+ z@sJD7ibvEu7ytj$I|67I>Ci5612e5F;rDG;2ZiTO>`QBYV*|U_rbDWhNW8`$$2o&3 zR~ataFHIgTp#+r8qd{ZQuUsw0Z=JB}pAGpTV>hy?wv^S5TIe5ybhE|?!YarTYQ&j2(KE}OUFeTkJ zkJe<5ea;5^3E|U|{0akVtnLX&5*4q^xZ)XRepk?yM2_-7?^{v@_t(fbRvK@1J>@}y zHcb8?c=vN|)Dy=`7<^ZZ_vEpP)OL9JAJ(yxqfHtD_k2z@4R%m2#T~G2hrPF%Q$JIu z!9SnCM?aA#$H=*f4=o;sMR%?4@()}$?VWr;c|Dhym2}#@2fHDrM?LI_7nIIpVgH#) zX1OQbr!K6m`~Lld2fQwaG}%^2@51IXN<$6%+8|FI?OP63j>9qCljnnv%&iV@u}2sf zIYTCyOC?P}yAs4nO-*v^EZNw8Z zAa(j4iS+kA8gao@0Aki9T83g8r@j(51oS+3z%_27ccm2=Kb!yhDd4~b`lCkcD@Qzp zK{-Gd0mlIx=EOO|hww$Ocx?gA?o-3Y_0;|AZdX6Jz-f2O^ANBLCp_Wzcy|rfYo2gq zZ%#BJ`+I*TO5T(wfMQMf{o+rs{ZE>7uI_ETckdZPcif2fMak=s5N9;xDrJcWNWdtP zuM}3+C`TL(aZSCe+q2-_Su(KpZaAvh!U;{l-`&U$Gi?;M%8x##<9FeGL3wmtkZZyC z+?1;x@r%iHN6y`e(6OuiYKKdKY;4JYnAXvx~410#`tq z%NV=Nh*ptpWEbz?9`m9v=zm|4d1Iuq@k`;U0a#PS32u_+UJ_RF0v==zqo>lgi_|q!hqmD|yDg6(LoZ-!7*h6Sb47_L-e^UAL7R4Auv6%Fc7$9U znl`+Z|L>Y;i;fXEwT3y8+ONnrxldJw`)0cNqZs+!#L<;JEp0tJhB$d-$zK2u%$4mH zjuJ;S_izXH@^D&56LQGE{;c?bO0H|-b}g+;#MVGjxGOX*<&}ZEGQB<|w-oP4 zO38skh*x2jN;$G3S)}<;!%?ktmo@ns6|eu#^R98B$ErJ6S1(3Zb6C zeSpwDNERmS&~CGQ{9>|TBFS$vap0S&KJya|kgojO^;G#lHmIaESW#+Vi5u3yM!A2& z5dTRBU8+5b!FJBV`xQA_5;m!1j*&?5F&B)b+A8l;WIy7$Rz3}BTJ2UpF`1GSlOpBt zFBN?E&Z%qg0(I4g#RpRZvBu-cYzDt9B|!q>UVfX{8kdV3PcJyx0BB%wr>gQ}rbZsc zb(`ch{h8;J79+WH+s1wqkMJ8*^iE1xw;8jpEt=r!VibOUyU_}dyc#v8&le7xSh&0l zsBG@6R3ht}rVOE%Ik2JvETOy+8^u6#Q|aKTr()P41M)6cW_4UV^F%%%=%)rllM% z4XkqG;2ld}s0~ld=B0lds~{V#bFGb!(IGg^#6v@J3&O=CROMD+vCbCnxFuxwz_1pw zcTjoauHhRkz$()0aMVH%4hItJ-}3i(Ksr4jQpt3o9$&)7&5m5Kmg!PA{UY5N1aB2f z#73Mm-*^5Zq`cx(#0CEa*;JhfDwJuMF}~0y@67%w!PO~Wk&tq@xuP4&b3&8-7^BpP zw{_X4KDW8@2|XX^@nusB!S>71=C8TBy`@&~wpJeZ*f zJ8E2Wr!mOT(Wk63FiLdO_F?V6zQpQ%D9}gptld0z{*!!KN7dDkM}yrBN6|3tt7TcE>D};+RcLD3OA9;sc!meBhNEe-{$*%#SIQ*c?6H2qj$c zNf`wfK`JQc;%zXzd_bPlunukSTxZ3KChFe8u>vv6AEQ+RsegTLa!bREjRVXbq?lj! zXP-HIIv#9&$mW)Q6gb6+x#!{osZ!jS9c(E zGKt~z9LfPy#_~P|5O*{rG^1ys;zkY;4>NWM)=;U%Tsww6>+%p;nK86}OQF@By&amd zP{0s?tU}*{HwD{xCx|o$K^@PoJ85rn-(>75NNYeVPJ+ph6@`~glc~}6E9xSs z9Lo__BU!~l1>9oV)`^+;!0oH+tl>#H$~fvFi)daSYIYXHWC3CCna|jKT@d$P zXqQ8(W3a(Vz|4MEcN&j@wqX^tk@R1-usB{Tfx?r~NqGWsm3Rx49V~!ptORrmC(X(% z&>=p)qI|>c3wvWMiR2TXJyQ&#c_FFRZ>~6bRBIkL&claNcD40T7A?^n^ zzL2vFcZzOI1abE_q~KMj_1cPrnnov>m%j^9B%h0wkZEHY8PHru>`%?)8B0r5m145T z9g;VVr^$~u!!!9UAudbe}i&#%`xZSTRj(^y6*52D1wus)AY0&H3E1MU@& zup2?&e&ncB^Z5mlF4b(a6Pail**zuvQ zum#UR?;*c+Uk*|P+3eiv?E={pWhQa65L$d7iSHDBtAPT>fi5y~ci!awW*QvmwyE|Z z2E_*GChX2K*jLYR-Gk&UxJT#Ho$sPe`)cE{f%NI}4Z5-3=E~9DsQhQ$*<~A8j@wazU zao*z;R1&&{jVp60#>HXmFeavjE#$izgq)9;EXL)pL53AtT3s zdUwWh-A9abzhyXNyV%G^GlU^MWG;tZ|HTUFF-SSf2NbtqtLfP~04St% zYIrt<3UHwMy{zK63mCpxk(&Vac=HXbi9BPyci4_(s#wL|%qXXu~<>iQhvu57;+^Qb(?z^#wYi0*pq- z^d?wup-{29Wr81bM>6eDH$*=tP(jtB#zcLzL}j8h?Y;9l&`&gcQ>)xO00c?+4}srG z_-@7qXXHbGGG*-1lGOjXwIs0s#ySk!ntvPF7+Ke2*D*i=yA6M=NFq4L3gWEsnv$7+ zB!>-fgriEji}4xEE!m918c!y?Uuw|WGD4)oD-iK35)?9!UAS&sJeVxQ3&5ek&2D59;X@s)lw0UzU_ORbwRg#N0Vi)fdh^UwD%A} z(CSwf;yPqiSdTF)GOa0_>W+=+S1Cb9^MenIh_2rrzi7P6t`hgn(etLWhJH?1i%MZx zw++|aN+MGy&-9u#<7Zxn{X@_h?)RRoTtjARqDo-=b=NQ}+F03Q9&%~PpFWNq!RfCR zAtxbJ?TBuG!|w6`#p4&Y!od3v`860FD81bM@KS*0h)+p zk&Vymjb!zrajwCbY+|wfQwX}*dm%-|^RWSejF$fd=|B_Z^VqW$rxrl6hCP8iVV8K$ zFt(;*Tu8=DcP1NrzKzV4SR?4b8+J$H>-qn-jQ_`&v#hH=f9G}(`;QXB9O$jeU@d^= zw_613-I=c88Z6IJPqhJ^gJce0FnaWS!PK7BT^=mDejC9zeu1aAwA_0hd4<2m_~ZAN zuAh0wKUCw-sR5VkJ~Nj{p`^U_k3Var5YPjD)d)PIYX@MYe_$C_RPI>}OH^$L8uN1U zovJ#ud6c;xRhz^i2r6gGUomnpWq!BfD7GRz_|)R$EEf}o@X3iLE(B1<*5}jiZPJ8W z9j^$3M9Z&<%Uv0~Qw0;)`XY=E2f6D(wFA?7!G}G);Axgtb25|s{x9`MutO_5ZvrE6rCFAxjEim-{(t?iDPJxgqw$EhaTjM`EN6qrs80DRKNt>D`SRgl>Cx)g9Egz3*VaU%WBbK!eB8gtJYv_{*m9yxFI-JN>k1vlCA+eFIh#NQ+49WM zcO4@xjnrIfmNTl6j$!EQRJ(-e$Fzg#WJSsik!&VVH$~;jR|CkEOG47~lS#xW8&%6E zJRrbRLB#dMenM{B3x|S)1~4qVvl8R;xZEHC6I?MNfDZZN@e1@wlb6-_{8jM8~NRmJ35uh#&)^+D&-Cak|QdLp*V6bhc*Ta(K?L)5q%<~=Y&-8dZNE({Nfa7P9(PQ8NNRN8t?U9nSH-1(OUK3pvFO2OpWaZ56^6RPgr#Rkp*{uh=Ul@A1gjmPdDz2FmLeJRd5 z&jpeLYDrfoBsxIxD3bC9*q6sWJMvD#W@^x%pbzmzJUp1hd^vxlxESY4z2+zxziOB1 zVp9HHyaaR>@fb?<~Rdy@Gbs&53e#HUBYVhO)Ql2h@$#XW_ zBHAA7Q(-t%6Q=Osbc2{$Vu}S$1EGaqS~b6tdrW|IwrjGy1eQ9=k)-fZ!S#ag7ROc3 z6cer6SYMGQ4hJ3`NAxOMe!g~Y(YU{ItYJ* zp{Sptmh_!n987_PB0z(+X!wj;*9EDIf$3V+P}SiJlrLy0a)bCbRk0%Z)(OYAeMOjt zDkzo{ZJ`=6rh2-Y<)^uUf_3g8{27D}hT>IZKP$y^wOaS+6mljPnoRm5JQW;W?d)1W zq4nVVjZalZ3!U+zS#K!hWo;sf7Hc4XKq7@4l`%1hTZjp&kx6ZGI5J=~K~0X`Z+0S- zP2!*OG5&|txfHBc-(ohH#KMWwAZWZQB3 zmX9Srw+x2*Yj2x`i~-kpk}5M#VvM>~({MV<0C17G#!`}3FzH#pa&;&mvgSa;5&Z#S4{G1w?6FuQ_8oHRcMaCI z^x7Z!y=e+GFs3YZPPtqcL4{LD)z4yG`Ped!o!Q5`=tThVJENUQDLJ5 z!>3_6toBC4vkK0ry@O)XPX`K^oHfL!ugK$v=HKUB@hBnhm6x}$qeiXFmdb8jVzD&GDq3S9eANXArp>)dV?IkhohF3f04+^CS=lob5^mS z_0js2-}ZUx)Q=Y8euYk&A^g;)(#ilrU_LVJ86<^VjXQQiTp;n9qJZEy21|%n&AK)f z`nTTyr|>WVq+q-(C)9jY!y#mf?M~kz!T-;sANmcoqvTFRP8F&E!f?@SA@ZATr_a%O zD)L#H!j)KL_In12#!ZLgrW+vC5*~x@?PbaC?{TOfP*jHyNuu(=LJ&-twA>}fcpM5x zr^M$gb@3JzvTI*vn|bi!5{%8s+(kOoMgmCQT_u%}8Xxb>UPnq}Du7heEed8bF`GNUF(luMcuSWLn`ilv= zn@~#j^WmwZ1e|KT+aJEMbd|`v{z;v=?ugirnQNO3;xPs?5LJZ6D~$MGNcWdshw*m? z!Obk}Hi~n|YPt>dgFIL}&7y`!B!(x-;M07nUTL96J7@)on7XoPLQ>t;Bj}SrmWuh1 zxpH$G%HVpkPI4}q?XpTb!qEl8lVLauaRn+9T;tRVp@r42%v>H7L%jr-rFK)vNqP-T z=XUx`y8rHIPE)o&QvgX~R6qi+zqh?Fb!lhacTAz89{5iV7){zn3I#&=g!O&F(BpO5&UeY1ic+K6gvD0oTRuc^!WI0EV3285!ukLZ zjVG&76WGCv^8W#8@;eoesUNR%9N{`D&}f2Vq2H~i`^Wz{z033A^I6-r4|FwNWvEMt zj5#>r0{{_=7%%fcd;S2=(8X}xZ0IfNrt8=O$yFq>Bjlt%0K0ATqy7@0sDOz_Z5;#@&a<0iN!0R0B*xdJqar-H z>nR%3uLS;jA^~E-r%M8vz54v$`MN< zvBU#mZ z%vvg01~@!x)}+0LVmMQ*rW~11|0D;>)4EG!f@UMMXHO*Onq1k2QAYj2R7zw?6dmY9 zI}Ddy6)b)f%uk+iRsK`EM|Fq3LxPU_BxsoU;W9<20vGjKKEe3qQqu88s@sErPsvQi zGbLPB>%JFJW^j<-+e8+gi~H;foy2uzzBky1;Ku;z))@A_p-3>k?!-{oxZ0mQKD_e1 zp1n8tPn(>rAmMog;!DmRu@MZa&5BWxn3&r*{WqA9i`hm(s~x6;^tn&;!pAH*xer{7 z6%nK06*3oM)(Giln>xET=oX|74|4c_vHIGy(^8hv7334MgL8j>n$>u|FQ@6EN#>BN zpm$)B&sZpNE-AzPeCHP83W>lI_Ur>o=+HmI0qM4{0=o7}Lq+hL(HSyCnM291q4$S!Xd zqG_I$2fXZiN3wj5bE?v{%iu=q6&`G8^g;RgY>3q6F2GdAc>0)qYT>HWM*B;Ih<#=VE4x`FZijn#X`QI^;oD!H)t z;Bw|PFw}-D>o)^6Dk^3Kt28^|`hW~Gem?hb)Tu)e?O~CAk9$$;xcTGMY6wO9_BX6F zD(ajVVABYufG8f-GAcg@a54X*8#L?YKY4^fK+gW+AJ6MZ0k3dfs$E2`tUrUHVsv|> zT|f3kaz2-pW!L1tOtFNl^5?(SU0CZI5u83eI1vZ-TN?PRR)-3tZH2!f)dR%UUjV(4 z^nELcUur7>xocoVdCOa5L(jh-DYl`g(%Fw2LH>|QTTgonk7KV)cihu*UBNf6`D8Jp z6eefTfso>}4GbG$BUDgxA4es~@b@r0(0>sV6xfCdd=yYx8_J6Rxpl!g0E-r{=}(DF z3YD@OZBw0>9KhT}8C|mDItJuyWfZlNty=Khg9V<>-(0%)>)D`e@Z~%LQUe~5jxbX4 zg7JXLSkJ3DUNHYvuKh~p@`ea2(7VwJ6}2*D1jjv*lH|8w%Z z77K28cnI4$y4Ly_4W^o=sYWw3(_G%~{XSRNWV2wngs} zb(#ns4(ff`+q}8}j4RX{@-F>Cj&9WnJyiGJ$BHd--)*v6a_-E&)1miE^BK_m{FSa4 zq!W$D4(v~O0wlcmel9(N*uoi05&>tFhn8tw|0TUa2p@)i86x44mDBi!VExy$#Z7x$ z>f`Cq^}WVaSJMZDt|ES%58qIGR6j{7`qoT}_{KkJ2>Y7)iz?__9ee3}VQ0!0Ml_N| zAI}5h&Hd{8Y1@wyZ(EqfwtyAlABP=s`snb z-vp(UdJv?XxF%jrd$be3gYXHhG{#)w_!7z$$yeITxy{@3TYkgd4lKjsr?O9vhTU4` zj7j^2xFg7bDDfO(QJU|j>h>AZ=+4*_u^T@h730^?$7oZ}z1C`ESf6@J8OOT)w9_Q- z*zMpWT(>;m5Sa1|<&jl#;(~C%U2h3Nx4U)Rp@qUu;I>4nc0pEY@Yd7CpHh)&@uN1y z7V0QUO%AmxH?RhVLtUPD0oG3ev1Zjx{RZF2ASaM4N@9K{Kee-*N3C#KZ1OJXr;T~m zGhQB0Ke_$okJ(`V_QAKE*?8cUZ#tF|Vs`gN{`a89 zY(afZV$fH85@N!&5G-dgyftL^`cIifdGm z7DiYLETQY!*2?{s_Fd@nAtHPQp7(|gYX4F#LHU9g$^~p@o5|IqVtXFBKrdbpGZm6l z-+!;oWy?1a)E*UuE#wMODC$!kD1PY2WO0MfRMXo?Cv#$cAi?-oJ3z&i-ibK2JNXL>8vCJq=r zV37HpK;Hop7L5s|q~ch}0lbsy(@(_dU++oQT9hm9(sqPgunBBEUbsX+w^K z%lf_GH3APovKmL;Rij0W?p71qZLX;|c)i2=%U6xh&Hw<^YQ-3ta4?N6;1@uNkpuib zdwhZA!{b33;kw}1U{LVU>~{z51V(1Wt?G6Y9uE5$232K;ei`LM{D|+B zct1PVRl~vI&Dzx(w-xBM9nUO>0FSua9QJI|r9{D~Oyn`&&nJ?4_UzXncjkxT4~$J~ z7%=6Yre5r41EW5(AU}8V^6B}Gy^swKS2P-(DwINStZ>^!nI{EMa%lH zu(<|LSg7074Gp#;?lkGN`%a{XRRG%2UDP7D+7vJkOD5PEV0w5ezmxWeaocHA06g2J z*gK@{s5IM^A1!MGkkWzLq4_L0uD|Io8I>Mzb8S4q_ez`RB3i)6x#txM@^d9-17^C}Xgz@?$U*u3ZDl`}Pd*v^SYGA>-m2WYu36?^WG6H~3eA9mRm} zVE-LIfJ{H(H~kZ(yWV1rLA<1)0B3H%LC5C`a}NeHOt+b9&-RoS0AjlfhE{A4td-+d za6EWWGhMdpnfazhi5;`nakL6pbta*_ia6fQc;3cYX-jx>t9LqrD@kbS8?v&CELV$D zEQ`TJHY^1>vLqCf@yRiIZ#x{}wH@6xW#%$H+r{5ncWb_KH=EyUsXbP1&lbpGe-hV_ z3GRg1FRcsWr1ciC@E<}Y!h%P9hvYrQ{I253!z-P+P5JU>{jYXwg+R?zg9xHVchs#8k``SIGx<%Y^T^2jK0uHRhy zk~F?&MPTi#jm>=A*+f4Gf$)wB8_NzPH-a z%z}Z)Fa(fgwNF^Qilo+Y2jXzvib<$2*hn&gC=UC67-}3ChK_6hLUd%mJ#`750$RJi zd;)1;7q2wgHt?-F*dd_Uv$2B031YouM<0c*-gT7l7DX< zFQ++!Tn@MaWt<+~(*0Tp+dXL@12p&gN0F%6IRdI!DBi(Td`%m0bN0vp1m=Ek(?GYl zHy*A-X$5eOt`kZ7(k8{uh)Q=}oV%T(z@+Iy+>9--(=PR!vBNO999Ik(+dJy0`m2;E zgpL{+fbmP~tNF?lZeBAOLb|cxIT=;DiKJa2fwm$2@@-|dvWBk$x7P( zj3`!9#`Z%g%H5DVS?J?6W2~m$SMK~Bq=lg~2i}T+vQWbo$C+qkJgvS1{2~@HP=*w} zrhSn5@H@*+MBXmE&-}#NZRjJNUU?|%g^ICRYk;ppX3kd-7c<4m>2e_!K+4)06J3Bi z`u@6&Tvb3648uFCnURF*UXlW(zvTEx@l~pukYMO)F<8aP1jB0ktHl%Ncc`1NWpprKMvIp8C-J!_SvHVUR9I!aa?lEp8Ex2}jA1-540K8?yjl>%|yd**Qh z<&*Q?kQxf6WmBv+1z5As>?Zdwg&713x}8{v`7=*cng*0tQKGnsH*y!(uyu*~;=%Av z^(ca;fR5){{u1pG#-@VGQgFu*K(Icq|EqY`4f>-E$}nsQg54G=GNYmhw7&*`Ib0}2C2~zg85L#%x=x6+5^_N@q}v6e<|BD76g~FI z$b2{AdXwO%g1lHf4oon96meT%P}1)F@L6{+Dt_wwo~0^cUm)$socjXWMts{)GL$rU z(qCw6GKnF%A44jLym2I~wykKJ;_B(?hgin)J&u!@@#%+fayM>jP)E6`*px=O(8f~$S%0dvp}DdXKbBcf8eW@Rf1uD+acmdr%*&Do|R zryqC8>cEVY4YmNjU?d>tQdLENo9x(MQiFH1dV&tgsp!bmuiQu2KZAv0$Po}gvmxi?9FNGZgNs#0?5eEHd35X?L;5JX8kUL8N zwih>s@>?5tLUYh6n!4adAaK(!k`3yUgbzN5TBreKkP|F*ygc`%^+j;GvSfFM^QEAU zT2B7*;RyD^#QKr~YXS!H1C%F)L06bgXVR562}yPdXNYU7U7xRKpIKo55cW{2`%@+7rd!w3RXB@Aq?{Ht z0S^mHMPMG_MERnI#RS5S8Rzsw&7gz%AoxHvz-i4T4{Ky2HaNqIq+M3?cLAz6RN_m; z$Kcgr3Y(`;ft1bk$1ynp4s7|}b1iJ*66$KuO0)7wHIEp4Jr{4osdeGRNIbtq9xVid74AE{q>rh zfMqFXQa2-;s%x3GE{o%#cVlrV{3KLExSAg92#Ug)J?Pb znRGS?gn*>$wd3|DPn@?%?!HIzSUSW+oiz`&Tj1GPXw}j(nW0Jz%4HEqp`AFYEXaDu zh`2g~3_?ES4N)ax`a06Fn%Jc^&BQ^hABC()o(b0&eOjHFL^zTclRl(tk{7yY{WYyH zMu(!HlzQLw6?2pn!QFHOY@qPvN(Ak+)M@9bh!%5qFt`XlZZ8V5C)Ca#wcn_~w1(tp z#|E|Ka6JqB!^Zuj(ATeCP@U(Bf~3-2Hg!aNKefznMzF(cjSHpsrPU+G^8W%u4Y>$$ zekxgM@^33KaYsdb^;Lh0ZC-a;0BV&q_ z&w{G#NJOYzU<(G|t#0Py;vf&&w|1|P#EffyxFNR4Jx9Z?%cnbP)ZgIXL0bX2S3kms zMt=PJY9RkE#okuil(31e6Xp6J2i#@aW5rY2t4|&*3TE%kmE#+he?#LA44zN*Fc-sn z-&c9r0!Cn9IJ4!=z5;N16IJhkdWw9jne=<$JqJOsI+^{6;R|7XF z5u7k5C}rShSJy|fQm`7VXg|nEgOCBgJ725DNBq*9mzPzm$zZ6J89K5X_%9@}EOZw*VB5>|_b_T)Q{a6W3qP58_K^8rNa4il6E|9FP2+}o4e z-*@(Az8&=KIzy=~OO06ox^orFBmb+HJ1DrZwGyMKI+FTCKMnT^nUIoH{$`1u3!Ozb zG_Vl;=z1Cl%$sOq(|mVL?EJEil1*JrTY_(JBuAfYc=;CU7??mIyFp0+Y$Kd|N{4C$ z`pXa>^H81#uXT^U=4;xLdxBCOc?gp|7OUzjM{!Fq-j1sNGa@=~W-vMLNTjNyJI$l~ z^C4NA>Z$bn-n1X@YW?Zm+J}vxz@Ki;=}g*#a4-;P@mMxp{04uEoERKqhCL$Q0>Xc0 zFqEqHfsue)LI=eoP)^Oe12Q@@Tu1zW^py&+Px29|tz;~1PV=Mb4Mglh0zJX|k~IPd z+CazG_EG`@oj1M?w1Wep#d^MWFK_GwAGp7@Bnz>Zf!MbYg00*(TFFZR;g&n8aF#gq zrXq8WQkzEVVpkg)5VqEEiZr=H$3lCaLp|y9NJW}khYE+~MMZ^JL>o!`fA^cDw*T!r z)dvrIYLM<@hINSLCDWfs*&D^Ikz%tZ4UXvdl2&a)sC?iV&{Q%&WCUZ5vawMfEdnCT z?<5q*Ro)yG(T?zc0lf4IjTj18IdrsTFoDn%kKcKtrZ7&#)yh8TRB!#pr`|^p)w2;k zE!MNu^p4xcQbCUH8%m2^;WweDL#Ku(b<-2v++ffH&97bYgwk&?(1|g5)1hOc`k$cR z+>r8g+U{C}Mx$w%*q8RS>Bp}GEZ10~T5#@0 zEt)mYRmP5pG09rrcNUg7i5N#K=h;_$8ir6|&T3b_f14R=Q~zQUhhKx0 z=)E(Hc_1koYWQGxWe#cGq0FLfv427IM)2MJi%l1bF+uYnUwCDd_c>VurbxFndZwmP z>F)h6DVtdcDh$c{IxvtRpmX7rN2E>owX3KQzO%3xf+7HciZ_jqcJs%Wegu}8wA}2s zIFNO0$|X|tk{*(c3mysU0DI(q58r)oV1>bNdK7vT@|5978d=X*RisUKlMt8V4H$gG zu^#%u;T}}Io&SZ!D<^rJ&$#QZ<*5x*%o}Qh zFd306P7~ivK7Mb?N4#h)Qj?L064ocgNO4VU{L(Dc+~QDlXH%gN?eDN#NFs#h7gYc z7<6n#@bb*SYp0!mLKl$7##AuIz*ATFO@CcS?YIv2ViOp2uM~V*)13r9J5UGR`=}ld z&JWi`tC~biweu(fp?Q-+eZQ7}+mHmN43q6|ylpVn8(I2GiLio;McH5DRixD`|MW%< zX26q!CvD89ozX=&YU+8*tTe`X{^{VX9oi#W*Jk1zQm806xXbci(pE4`n_hn|I=gFs zWUezZh>koL6FXgx$FVndbu?}z9dvn9;Lzc;DK$^C9O{0$7ScCsi>MDEKUozK^}P(= zU&{grjHqOW>d|5YH2N0~b=fR{ny$O4JGdLhW@Pe+?0}le6B1e=s$V#CUZ|w#KirGF z!f=H;%$c@P3#HD%RFY8Jsd$pi8ZWg{UTjQXB*VUOx6F77y#(m^Ra(ZExT;PdLbbH$6gQ13Ro+HQ$l87}wqLmB_MxHJ$QXstodev^3a_ z&9;a4!H%5}KSIuoF%4Xle<*jjh6cnKD+x*t-O^BfMLOUy zDlKBdh;0eyV?i^xb46xYj(W!-Yt%Jl*$|_6q67ED{8xlG$E)QuiZ5(V!~I5Wdeav5_IXsmE-UYPZyHmk0VSTmi>8PaQus`{sKB1mMm9B+@xKfTtV|pZYs-Rr8Gk`7Pe>aJ@DvRkwt}HcqduVR zkxdawl_j~(?*5jYrAioA%^xE-*g_Grj=!X-*MB+$7HLv5M6TFcj1RV^Zi6!|AD=s$ z(h(_Xfu%c@4O2$^PA`!-l(44fr3KhR5O+C!0xL2_5V= zUCXXzIFG&pe`pvk@k$LTnc9{@cKEJiA?CqTxj9a3xpDRZhPgGysFlMr1f{3olws1Q z43Ev^F0|=KR4|c?^GbEwHfje&#h{RN>cD{mpb@ot$(Sx!NEDSdsz;Etmn09Ytto!) zry#3J<^2E9I#yMp7z7X>&sOuj(F-4j`N!EF8MZF8G;mL9G(NuX ziP_-4;v;{i7Z1dNsM&T%?i>D4&R&YPqU8usUGB&4c~&-RqZtjcWPW?yS-;Yy(V}jD z#v~Lj5h?`%0U-UbHmjmQU<75yuRl ziLjZPe$i=j%f9p);deXX$nQMnd68wSVkEx}0K6O>EI!W(g>cZ@TP1L=} zKgfd~rR92xQ8Jr_4PX!PCxhbM)?J{0ZxJ%#{E8-JAZ#U+HS9&Rk^i9WcE_>3O*i450i9V#BV=j=-;(vY7zUM(+!=>#V`~!M@GVCX+ z-%rb(c9>!~3Fw5o=nIYa`BNl3_3k(GRi5f)1HCmxF{f*;hC)3jvSnC-4&M zp5i`ZFG-umvWDf9cT4Xx`3yYoz=7r~;=Wb}3{b$0{Xl#vOLq?B5_sf764R9_5P#dm zo}B17IP18^MeaFLVMkXVVt1kyzHec&X_qUcsiv2~3gp3Mvj0mGb6QFye$RKIVNVTK ziD7LcwaeuE{HbmfHoubK{~;fw?R~$D|AF}_xj=zN{5hGVT_@RE9o-SPaueer-=b^7 zEbx`lZ#$?wSO%-*9i-A;ubR5Zm$sOylWyFza5{{u*EQ3V`K28CMZYDV7HN{t?gn4R zdnvcCo<>JayX1rqO5M`8;(glu(_dAMfe!iYpc6S?0@Mq$!JU{+A^@m!wnv43+`(+4 zxF-z5anMXTltfg@y3&>m{z}Q&2W%rnP$Ed0=0E~x?;>_rnG3BrqIf#C95TE(UVDhdksIX8*D5OnCI{c z>E;HAf4oxA82w=>X@`ET*E@H^9YE^n<<09XM`yvGY`Vwg*n(K@%^_yU#GYsPs@yfdoc`>Wtg?juCW^3br zS%AL~?0l0Tv0vp`LHJA3m4PhCbLlD~VSIWG)OEw^x>nV%#j?m;0h@Hn=-pLt3$Zd%=TejUkhsND^ic1&%{ z%kkt{d7tBW+ARev$NG~5vkGYi3eNncdh9XLPx}}gy@Cx@2$xeXvBk}~ezQ&At;6=J zye~)UX<2TCjKc_^4xujI`zl$v*rYDL#x+c#+M64i(g&XqGQ#@*uE!vcJV4kqkvwf? zNLwm9tTta^d{^HkAyN;a68!*3iA&BieHNSE7iRWOx7x%g>wMYb2Gsmv&VWkAN(oC-X$TI;| z_{IZo8%yUa5t$Tc%jGBEr!5O>V9RE#13fQA;e>;ZvK-M^%toPmD_%nmkNn>3WDJM4Ak(5?wxfd^$4$GUj*q5BhF^jXOMw3 zDW6$^fkXEE={L$4M&O=A;`SYr+^W+&PqTlm3SRZ*tp0Y&m~npVgbWUe2K-b5*v-Wz zu@~Q#;N9zfOkrsg{w1lgHHN1llWuHVt6zE6S;zSZkL*F^s3NlnDXAusu(KGr9$md3{G}+TgUqsJ#9&HWo z22_)BDLjFKuIpUr9WrOXwYfi~aX%>Z8aIx_MVPDKMBh+L-KBIdzq$IqPf4;s)+Yk% zJ2_}qh`Y*wyberbCok_O$8v?uMm#XNPXO1L({V4=51NdB(gI>-H9YLKYA+(kWa$PS z!4zk1Y&BnE|0WB+-!IVAZRmo_LP=vrBc<=afNje4`b8iSyylJTWg|69F72QK&qQ{; zCV|UUmAM)H2SMfbEHoTa4s0okibhCb4X5dk8nT;>MKHs14+3mDa-Y8lSp(t=d3M44 z&e#N4x$WhqHx>xNzp=qE0s5Z#w2vZ6Mf>(Bm4Uq|Il>j%Ev(Y-$iXnfkg`LCTm?>&&;y3j-Fae~i10(bBgFt6i0flgN;Pjb;({F4-Z>eg3fQ?cq zjmkYXC=*$jtU4bun0z6-6K)1SahF5`@(m!$XRbm{k+$XSscmTl=gtRlZbRr8dqn(H zf8y0=bM0RSb`0OZJ)O9ZNJaj#s{zE%cAJ~jN378@s`?G&be18(w+`C?f|w8M_{*rP zw^)PVEubU7>z5i17N)hN)d6b*ub&-LVr_4LheTEzR`AN8V)pd9aKR$3w7`n3`hea@ ziW?NzE0@3%YM%F%vB({jaSM$wfqqolJ|sj+W!a!V{J43y+Glu2XOpu6i{o=UA+R1L zF|}QCYR56>i`H32XiHA`40L0MJJ{6Z-f;58~F(~_1g48^C2K26HGn6 z9NWbH+jN}~Wx+c0HG`%dgxXdD5xvycGfrGo6JmBFW;gXysc!2EHv`vq4K!m;9r69( zE$=tIeri*5FM1EUBjaL&$0N)v>qq$G;5bcx@|^9M0}dQ5Dt-qLQsuri>=c#Jw&M{) zz+hLGgFL-kj{XD!I}}>zkPk%y=(Z(ue1YBv#u$+=y0#fWUS23TPk8Hr+dQ(prdz)p z@21t&D0h>=M254vw)U`Bf^>HAxP4V?^<4*Pm5Tq~f(U!-MV9J7cH$;id?ZWjyKU%m zt==vl^;d`6p~!BKgr9qR-lBYD$za66Eia=jpt~MH`uy#%Z}UMRKdjo5V&B>@$pxw?qEC5>4*UD_ehq;zU7a0%dtxU!v10IGOTGyd)oZ%6%Ox=kw1gx z2nvX6fqVbdNU=1PhZX0CN-A>UGqDHaA@e4%MYwg*m80~ym*8SNt6?)7oTdZLx~R?Y z0AD4mGT9;Gh>5! zBeKqz@@Z=H(Xnc|Ts!(I&d-zw5{N0A8ML}T8EzrrsHjYePZ?HA3!l!QxHc56jRBJ= zB^nRJnm%eb$pGpqP4wHT`CT4%??SI-pxRwOD1F}^`)~viJUQa~w~6h;fzH_Zxj(Lr zNEkAv`G>l{T#2~zJ*4@$)Dc)o_P*?4h^rtn#v#Je(oxt`22b(!rC!Pk>H)muQWl$z z$VD6~f6Q+_w;;Kc-?J7?b%W$@2MSD>M3BYPzA_6ji_&)Ow=ZZ`Ff2YY2oz6}B6Och zvsSR}2ImL0xH@-P*9ODY>1}%qmO_V9q_Y=4=kK>y?ftt+ zuNX5<0U3k7r2@m~F4O%p$XyhRh@E2g)Jrg?B(4(?Dk9!*dYvYr@_c|E>;qAmacZ}$ z>iIBB>G@z>+#OG*;&o4`;~x%MhYx* zi#D(^P%4VjuZ7XoC{$%w5v49(nHFsK3h9r0lGpr)@osG*vSgXH>-*3NFtPSM`s0#D zhySQY2dIvkF3@Q-)TR>kb{!31xE6L5h8J}}`)Viv)&ZO?U+nFn<;xKyLR&l$23Q*a z3(BaY>tqH3L3yQNWdA1u;Q7aNzQ-6VH#dF%R)zIoIu_qu!i|OfgH5(oGP=kk@Y|wMb8(PO@HBP2yI+q7HUz7%~e555C4eaD&Np`=0@txz*P>Cv14`>miD?>0G z?Y1N)J3KONcFl8j*9LGuAb$kx0b~`dJn5*6-IPHpUwLNe^jdH}sY@r4bvuoobZsUx zKJC7#nn@HQJwhc}T7-`$?YO+wOM<`uShv;k!+l?VoHzuOsDjQ(iC+(yIA61SW2iW_nt_N}J)Ys!6Wl==QXseL;MIu)=qj`NQj4 z59&|OcqLCJ5_0N(H9ejat94+ce0Z3M^AtQol5L!f@BnMBD-S90E8nG-4%E>DOZbZW zzD;~X5){2E-Qw|yy`nl~v;vdYrm&E2hU8)K`CFzdSqmJpq%(rL>!-o*H3=g=O3FqW zil^N9$LA3vs~PlRF+zzk-GpdQ|hC3!^X73NnIFF+#d zUK}o-$_i1^XY_g%VPDa=sZTUusyUlWRbP%>S`_{gl!9;`jSE4<{{C{$5L3!+@0SiR z$CDFbph?23TgQ;t;j>M|2hyd@0Q1{~13NeLmnrbJ&DxGZ z^;tY|a11veCIzeIP;6(?KLuGEjaq&IJfAb|%WMOJd?jUj@gSTec7@i6?Tu{`T7>F8 zN6jJyE}I^UCPF!t$M25BOD(kpoZWeQdB`Es>%}J&X_$TwXle_=oy`YdK;-W$vO$X+F zqkSI33`Qo~$Set4P+UB@$x)w3<_O9R{GOL2d)LzWRfc4oN~Y1I3dT!(#B4AAtAOGE+>9n);gZ#IZw z6Xce(MNzm44h>Cr(3MA{N!jSoVpDCV!92tHC+8mVJdk@8WxIu#T~4T3aTaNh(<{nR zdm)r-?Tbyvht5SI4wlkEVx;WVuO{1R#CC0jfmv&*GE60TZgu(%I<_09O^6%*{4YF5 z+w;@3vrW>b=j=0#WQ3uRqG`ZOF?LhbtS!R~X zHb?qWkw%4VP%G^r&1KL)+Uoe=NPm(J|7JdcI)sWWj_V{s`4HTp97Sq)nUqKWh5_R?`1>GyVVVe;&lJ z!T1>9m?boWAgqty)Z!^tq;|Omz8G)_uSi;KcFQz??1(6vIPSc@q)~%w%i*W9_FVjO zREs14Zg5abX3ZX0!LE)mAtLLv-j}d;KwFQf^ia6XXWf$fO>V_>HQH>W;5yV$g*v$W za>G5awRrGPv%Zc!DjeaJew|C08Ge{`Pa<}qJlu}TSP)FeG&e5j#icEEy3g*}5g;oaKb8-;hffSfnrw8a`S#AXj^ z2`T*4)xGfxf*cJG3pC`)?~dy?@n}y+_zodv`EL22x`DqPc}`=GD8C^x1zFbdDmir; zGh_l+y1F|2X@hHOHEqgkwv3~M{AiCYnNp?E@D zK)JGO8Irov1;1k~-F0y%Wi7#^U{?S_sRLkOj4KQe^p=L&9m*O&gRTGpMO*$MeS`Q- z?*0^x=bmn=UJtzEJ2Y+jG$=m&W_-1d$@W^Qf;Z>NKmaENB}q@4Tc7#74<1Ws3Xp3fyfqSE-@*xn>81D zl<9`De01dO@UcObN`Bgk#1K1nbOUOTHxMGhe<16Ue9*knT@yqP9gvy|{jV4X3pgYT zMmQzOgb$D7zPWg6#-Xz-;ra4u4h$o>l?$bKG3`~_ycxv5Bn^Er;JAwbrI01!iZD(D z$oo}uTsGt?OLb107>j1twZS#xTA)T`HjUGIYkWX{&vb8IE^Ucsd9VdUdUB-{U-GW0 z-z5qDY1PV1;%IiT)z4s&iS}S*)u{RrTm}z$k(bmo&9$ALHQ0Tc1`{u7%`7MmG^}qr z;BJ;Z*{z2g_)uF%$w`(C!p4amzB_GB)9;rnGi_pPZj~;dR1CijLynJ9_u>imKmXP2 zP;~GiBz*7n@PR16N(EGjrAlBk-)~`gdW%@i8lf(7_G-b=Z>#l1&9V$q!sR1*n?6!{ z7@LF46*nO!QAeod+eai7ZmG#3X0dbeIdm7Ym{CVnL_`+-)4 z%F_)s5{x?nibxfASqIrM`ChbTFfkj`=_&AV$+SKU9{Pgf@9UbFxlQy%DOHGIQGRTk zw9{DJnCBR(rQ?>H-N?b`*dn^d=mLH^;cLn1pg4X*Zmx&2H7Ck#1+Q0&VHtJ=YFvYq zL~E1NJfZ)}OLD%H#guE7H@~w4;{a%!+oyR-Z!7pe7th*vmPqWTY7a;m;$cNM!ziQ_ zQK=S_$i?&0<1lb+1td+uM2pM3pBu>A~3AMznC*m1-43H%MaE1gVc z($CK4W*I)ze1N9FP!k6~tgHLzEXXGvY^u!;oQZE!+yo-NSfhy;lgkan7QgRz1Vwk) zQuVj@{$W$Y)@su6B}JEb64|M~VvD`O`l^qppl(H= z{LnPO3=GuL1qGYf^(@YD(!rpW`|Bvx=fEOwAMk8DfY+K@Fi?pjt}uP!UPl9f?MtW)VS28I7|ArRNIFjcLdpPY1%Uel77BHj zneX8*CR?`RFh~hY4+d@|!1EI>POmmHfkri%3|+EW&SSHmXN#kU1kD-i;hg5h=?$GY zg=?FdynK9Eqnq~atG5AGo2dM(W9IB`Xh<-6tavMF*$qa{n<+iVfJlYDg?l7F0jH?z z#jp$%{k(R5yZ3@}9)&x{jW|6dG#7Gd_pMC7&q>!uAqP}@aRW@5ia;S<&V!Z~{M|u< zqZuM>e=ky74m+G_j$Hmbg%AD|G^OWo^L{i9e5BbHk%An|wX_!q%(-JH&xee2p=#`5 zko%}vjf@eXPCG0oF3N?X`z~N;dxMoUzv}NDgdD)PEUn_0h^3AD9LGKkl+9JAMJ>6@ zm0Dv{2a+DHBHgILdMwT9mx^`)bGQeQML@nq>E09CdBo0TkK~H6*73>b7~ImlX_0yS z)3bL&dXXD2Pf|`}awtvX^3utL(Cr8KI^gHy&hP01r^I0Tv3SQE+rwH+{xy9$gWT_f zI>+K3J4o%9dn*EObhzbN(e@}0BXQl~c%Dyc*@-9kkYDk%ChA3l+>0^uH9UeX(Uw_| zovuFv)$kw;2(qa%t+bYuI_WbbB`;KxeBHXUI9~-C%$+Os18B*PPdmhHRa-tu=U+c# zVLqeaT6G5PL4EW}0XPUS;L*gy-XAj~yut5pmr?h>iHv)xSzJ_>uzIT7T5NCoaCC8WJIs?@ChM3+UAf^K(now82SljGY2)@4uuOsfpnip4v&iT3#rc zJ(gUuDC?>y^yT7ngtx)KuqFfcAn#6{tD4M3Kad|Z*c4m7p`T}05CyyPbQgN>9I(Q$ zbPcy_9ZL`Vkat7(p>BnDU7B=$*So*fp@F9wCn0WUB7P$@3*!FCV9@zfKrMb+lNS&TT9dYq*=mO_v9H^-(rl2u_{% zeBY~~fR2sxvw67wTWQB&7wyxhH7f;Z2`UnA^nE#&GuminV*9(s)w{rOXM1E3S#0Ue zCoUS(i`2LFX^3f8bkJ_w3(gnSp-u+S0Zn9@4ZxXHJuRNVvuZ6>%xuc&k4d?F6(T)a z&YV~4D)_@Q#AM#R*A8_DUiL&o@5#puspx0=SJdtwla(v9$nTjHoPV*mUJ8yeWLYQ_ zLwyMC*1^4L6Dq}rdhpVw4DzVmF${oq;3?B0ZXovDAU_|?Mb`by{td=z4!VkSgG2X0EH`?&XGOUMZmf3|*+GXJt+SS`5 zQKsAmsn%5axCvmGhxL)QIWpk1Hj_K9o(|4_9jRQ9PuD8qg!o)t(oyN$OQwb0=VhR? zwZ-Yde>*XK0^viP(y2a3ffPAtIi=o~?z9<(j^1d`DaZy;>x3r^nC-bAK-z)7@eSr> z+d~lXYAhI};I^q4`(IM142Rw+CaOF+I!6=n>qD(;>ceSFK7vtI8Ki%>>obY)SG3i% zMKQZiHn_nfe*(J_mY3o>I_x(iOw^&})Ab)pGK73wsHl5OH%InXd&|UE`Ng~zla2e< z1*Y&<{}?PBO6fz|BIR~tHj+Xy>o?NP^DOlx^~>)$I)(ch2#K(T^VFvzKan_xGam&n z;;-HwTazVCs5B^DCM4mm2EXyoo85*aiPa2&F<(abHW7JhP9AAmQc=fiRi(+B_SoF6 zDDeR>iU%YeaP~^#4;1-++B?SFzLNBTpkRM3EG_6cj3^HbZoSU#_F=6waSgjyUjFz< zu(blvBrIeUcrTiSVXpjRl1LO@X`1_P%tYx_GSg+>;e7l zXjK(3lm7(k5kz(zixNSo4Ic%le9X9tfxc|KNYnzOM}`<;1O@ukX=wjEL4N>=QejQe zd%p$kE2Fd#+;HywHB!UZw4abh3zzWbo*-zK%iaJ~LO2i9mYh}zZa6y{Qd93TT>ag2 z0X(HgpBF2(&BQkAnwRzv=+$O**Ao|C*4TZF!lyAWS(zMhhn4rCy4K-<-j~RC{9_2) zm;*2w?Q7h~Jn)LoJJVj#^&7Xq301zLi}~tAB+O)#-`1T^I{HxCl9&C=DU0zS*ka}y zK?8g|Rz$juT)>T8Y(_oaSJQ~dFxVy$VvXAPGYF_`^`ldyrSz=%%AsIG8R#L*FIXOi zUkASpOsPxtS?3jE{&30(`nXGYiyr6eEnGx+XmDpVT`8Ag5{hMaG-!=gSyI zpDVuWQ>;vw)El4%Ajhlr&x8alM`yHxKrQt*JeZVN`>G&$n$}l9RM1w>hP4L;{yX_E ziBxwbRxW%(@?Z68ldx$sGNbr=s$HLl5tZm#0G(UfpH zsI^cdOeWDg7pblWvuiUV=Bre(OX2M1MVxe(3B*@2NH^cn6SApV_~o524=0cG9SUeq zwH(Jj7zJ2Yk2#0b!-R%S1Dqm|xl0ZsoQK`9cBI?aUp)5+kg(?Nq)oj!n7s&EE_MnsNe7QGmK=(kd+FM_!B#DzKSX3qphgtBe~wJED|@XsG}hcIQ7!^| zj4>mQKsPEa^?{0E@wiQ$&sPUJ7WBYEDV<+_5~qG4k_Q`{Od=M4(YwJ|WP!^w=t-K; z5wtu`M0jH+gRJ~C=au(GpcSWxB=-aOfX^m&qHmKr;)UlWcLS6}4;8UA-tsde_gauq7Q`;D(>A#5X0ezu`(6sB8m8}z+K{Q=Go{)vvT zbAsTXoHaHYGO?RJ`u0^G7z=+X(9DL`>Z+W*@zaq&*xQ7DS$kSS?2v$TF%j?-`v0er zk1)!~oK=A?3Y-&K(-95kbTBZ6%2e%XcjY+nLEo(}u#*mS9RwedXU0_~!Q>yJ3}WHk zb}Rg5tqu#c=-RR4wRh$G)2Ka;{!2Q}Iw%#vE|U-)Ea(P5w7obFf1(;wOW5^b#ql%C zEr%}Mp)GsqyDa;rLd?4bzTzACXgO@`_BTjX?r9rL!kr@(ECOk&@4Or$Wx0;)t-#~&O;?9iAt&( z0IcP*7D`3m+*7668ecw}@3oX2#3GlhZPK=*Kx+}2%i2XgxppA5ji3ntYZ#`S% zvwVf0wL^B#7kw6`H^93tA?uj$u9E`86&?7#{FdQSQc>_G-!;AmZHi5Vd-df0N#Iq^ zvodw>I`r2|vQAvi?6vbg0avc+ZFls8ZX&VR^vgbRPeV~u#I_tbRG>33BB+F>4rK0a zV|JejbTd@L3XlW29PGe^R{(M46DL|}VjG`&@(@-CXM>}vH7W!Hg|OOTl*hqr;lVvz z#{Y@l^->Q!a=7t5Fals*_1HCmr_y#s7g%wbzys6TVZRSTMOoDKr@PsqfR-29Yi~AD z8Sw271EZzX$p`5$I(_CeF-mX|kE}qYr(**k8_NI~PNV84sMX}8w22o7i|EVft3$DP zZzG<}1fI4T>vh_~bcKjAkFOIiAfu)JBHzoS#p8oYgR>c3pb_rvQFD@$bpV!nV6KrA z?E#`-bJKI9Dlb6)a()3iDo!6`KLc*T#=CuaNOTq6_Mavgjc$&o#<5~gek(R{xD30N zri>rJCQfVofD(}}n5}1!P90ys9RB*`Z>>6ls$0)Jxf&ZDZPg_ucjKL;KrHnKZVpn7 zROQb`+8B0*qrT!0}BDzE;Ju5{B;AoJlzo>z(-nj4KCFr>|)X zW9H9v@A%G$B|pF#i9v?DT;(TWc|QJJSb{j(F~^C!`O>2FmP+MPf-f%P17Yc}I2FmC zoZVL!_KB%zPl2xN|8Vx^QB9p~-{=OcSc^@qRvds-L9vP;f`S6sSgU9eqt&V?5@(=- z5dkqkvT3!VqC}vAObL!SM?pcxsE836f`TAp)Bqs_h-4(g-kvLc-sgPZU+-Gy{N-AP z414eUzV2)I4ZbL~A1E59*3J9dZe%%_vn?b2i#hG=k+ zBXqC+IBswx8=T|PJgty>OXzrWjT7*ZPXMCIu!CU zr!IV5tT?FH{cm4jfID#Vmi-Kg!eXk~=A(`sEMXreoE}ev^x@mk^(H&P!g0lHh*meC zUHOLzkUv`=X8=*}X<@dL?L~e5v65;7PXq*k7kE;7q=OBwF1ay zgDXiW_5K8%@Asj`OM9Ngo?Vzj)6+GW>a;77tf2z&#^{+ma`ng@+q!Lsjs(OcH zWnywl!_tnM7u$rTb4Vz8KWys|w0^$X)YAsz zqqA!(?qDmz7(hIF5G~HdQHlo=;GP0qe#6hJ4LtiZNqQf?4Ks77RM>3cv&0pclqNlp zt*MOQZAPsSXLb;@PauqSx;Iu7N%xQ^@D|oyf*_~>>npfO!!O4`lyY;}jbAc+GJiV* z>$#Yuhd^Al#t)*PImoA1mmIhc5y?g-*aiN9D(!)*x%jrwns;{Nf5-YB-xQ zeLUD3^dt{?x|>Zbezh47{|(Q;9BWVDSRRoarW^JBmSH=5ImH>3l;mmnkKnP;;oGRU zUT!yQuvruiHEU*{4mU#dB`DS2O%{85M$-1WsA!@F7&Cl9E@}%_>JRTWXH?{AXU$RY zrEKE^$fYYdc%0pF!R$nbQ{;L5p}nPNmqQiLF6F<05Kl%`Dr#p{_n5c|v=w%srTuGC zA={I>jCh0Zot|7x8T%@6Zkl7eho09RV;Vd%`9{6ig4ZIcns0VH<>r}4*GFkkUO@RH z9pCe9H?8{riVw+q5^(QJlW5hDsI7!o?NO5nr zuXWTz`WFRbJ2WG5z=vVtdgaVe7~cr#`aPXIz?cBj@25?6>#;go7j7vN+4M4ZB+l$> z9#axn0n1PP&UewGYJ1(EwUSyTU#NWEt4s+s^8j)#fZh`Bs!j}UKws6u%D1g6^S-2< zn-fXQII8i4V#RGXM6& zgajd9`7+ADGsJ52=6)q&-)UFMbO%4tnvL<%+Tll5i!CV4vws2Br#={@=_o9AIPL=i{bN_}V9+@C^ZtrqEH>^R9|*mo8QLXDBv&0<~B z4jf$x99fTfDy82=S#R>@ldp3}J`zMAK+(>w~&{LSl2YOSm|_u0Yas z3}l}U=ulOxZo0rzEeIaV|B6upk%1;O65PzG$oV4%?*|;3u}~iuH+jq|s@C0X%GCDf zHMKZHXxbk19mqbki=0HOHt;uypJ;cFmz(_3Cy5+oV=5svSj3A%=vl*h7}1p>TmNrz zvzf|_{NES6g>)!R9yg7PHgo*%|E0j>?I`o(7+`$?lSC5eHd=%t`IdA#eEh#-KC^i! z6sD+Fkx2S4iTdgYYkcCAdJT>lb|JI!bVia+qfu+8n$7FeQK)?clT-|DXGepp%hDE+bg z@kJDf1x74+TErJtY#euYL^-*NriKDmMha#o z5%o_k*8YheOZyzz=Pw;ZQ9A1xpjan*`w?+ukCGX~DRFod&^DYRiwYCCm8vg@LkKFd z-C}mvgRW@e>V~jJ*RjLGVmDv&hp)k@Bkc53!gSc>g_;!>QC7KjI#{LDp0omTJ~5tYih)djd#HarGP3;F*y2%h@C zywB6Npg={OH}cVsNH&NF{PU8)oKyrWcOO4!u|?*=@iY)tTCLOgfzBmW*>*zLH16Tr z&-GP18LTZ=wliT@tS48%Fw?fQKQ@}~0-*IG{V_Z))^d72AkAaz&mKtDqDgd3ydC@{ zC?7bS5)bt#z;CG;`?YnK{TUSl zwI_J(yA%I~w5>YFDHS_)mu@DU3;mWzC(rUy$#{MI4#T1xL231WK&l zLta@arv6xb{{4IK$6g*V0xQZq4P`tb$8k1RDGUdP4~>;t^8!lWo7!9+aZhO+YZJ=H9ed zph;8BywRiEd$D;x?d7<55l^DaWcvulGtlMx`*MJW`_Fgy9asSaP<7>k6w4{l3Sl)F zrr+~)jHU{w{qiQ#z)n=+%4kCba~n)L+ZPy>KTP`VY2%c0S334+p)p4L^l`F`*8#=CyMNz<)upO%8@T{@Vg z_3=y)NAe@*O{zU_e18vPnre6pV6#@3l0it*mITx3kAC6)0iT$4A8qNPN;SM{V?P{V z`0JgWHIsokFXW<9atKfgcHMW51!#>2$ehdE|Xj1ODsbk|E$)VUmZ+0`Ngq0B$lZ@;$d;v+tB@ zZz59py^BYMNCh{Bx{7O@5mFopS_YggXTEPY%AFSmCP>R7C9sNVd*FOD_syT!VCB5Y z9)2-Z#8^TA?RN^n7piCbI(4ljV)|ZOsB_8cWi&re08KWGtDB$_*qvPb70M+ji|&CK z&FO>LE{~}VdCs;pxgLhHL@kG`zqsJpEBb9UIp|O)I^NHRJ!~E(`fyEb^f^X!JR{44(;F9py{Ag z%Ps;+(qo7aBe@}Zzyu^UX4#igd)SYF3gOGu#bfHxY@~GRbxK2KM(b>FOixGkzfAiK z+k8E^xxraF{Phw>ywBx|lRE&5ntDiW*PUdX(Dc>TFUUH)U)ZD04##-7UjeV!`X2IK z*9z}9a&WUbz3SiT&YytHg{oNFvTcCU(LVX)*dw$$-S|x$-JmQ zXpn;~yxT!cO_pvm?urrWp2DM!XswRTG~B$R;77TOo`5;Q;j1dG&Au39dmz8f&v5hJ z0k|&yG@a2+UScYz!4Pe}E=qxnWy-3~b-XDYw$cY=)6x zr-R3XJ3jfHoqwgwKsFjWpJ_z;Xd&(i9N!W&D0-?{bKv0O65&jU8K)*B$U%nnt2Vu( zejDu}7TN>4;cJPYCQIM4zjNIj-<#CBy{iGo$K;5>du!W%W=6G6c?Wy^&Xo-KlXFZLJ;Be0G(Li5MXyDop zPtz>>3^cjhZ9`Wrh(Gi6Do84IBC+-G<}1f3v+By(Q}7e(A3x?cW``MbFcD<_*B}2q z+87T8L*$22U-I8zi{~-i7xl@nw8`kQ6hC#oFK9hI!N42-+QbT5{pj6NY9U!ATPViz zyu6rY2NO|OU5BhQwOellel*zjYB%p}h=lIS<08pCLB3QrIN#z-i*tH> zZS2y!zn$hYN%|DNQl<%FqJn!!RP1lT4nIX!(H77t^o6+f@Zz1&#_oWpx~o?$EjZ#T z3_6RPIVkEE5Vz+;V8yR5=X{zKe@;U1i^k%#)yT$@zeNd=jH3{y1?iAdtDsdh+9_h=sz9nI^*||gUZdY>#wJEnHECoKtS0WmTy_c8`AYG%DBif(`Hqs9;-I zFeX_z9QYK}(wo=`=Pu@d<1bnE>MAyW?e3hRBZOF3!d0TY2MtJcHg-yV{?|jEss{3w zj76)2*)uLb1S@tW%zuZe)CWpIN!7}H($8;+uf`fjd#Ll!g|A^qigi{bM@4~rd(e3o zbax@~rb?PV7BbPSCyZZ2KfOnJwIb*B+3k=uzfa(bo?XZ9;8RC6@(q{d(BG3i0$J>k zozcZ9pA;_320iB%nYv$V|N3OMM}t1z!8{36kgMq_|Cn9=f>;$rO%irc+FdTj90IZF zzhpz78PoXEgM)G_N~e(6<^_|A`{==0HEWKmw_kaDHn5-5EPTxQ7c`X_EZS2E@_Wh) z^DQ!3(1Sj4?am36dtKBUS1}C9xjVa7h7p<9yK>2fiCD_wr*=`dSVCg?sTp^NhpOK7 z`;S|8^+K670I5v`sI9!6RlO`vD*#vQk4F!dy{Ly(QB_`Nfj)w zyEftizVRER$#OX}e{e0kKWs-*&eWeZO576Euai9-4-u%L%*f2%aP2di72))7hkyOsXT+6HEbi#=5S2PG-~8?|j|)S1 zePLaUq=A%o$@xd6{*S-jw%NK4M9ONAZ7Iv3W{ays^8ixu@efLpQ47%Q;nHXWcktR@ zWXDG3h~)*;Oh<%(p7gcUH}eeW2tUR$j|2_Aw5o0#yOJ0(@?P3M;ktlJB)QLkGM;q zXAA8QU{e{Ak6U(B)e*^waaj2nuEixm9`9;@F(J+v1& zZ4Lm)L#a}~6Tia?2K@q+_wB@hdHELzWr!S$?0pW4a}!su?j;L959ELM2%0bz&`nX> zt)C;l2~#-qEnlp!BLlVolsBL?>j1ElTJ;l?V*VP#?+l==TJ_V{YhYVp+=m^G4pu`J0Nb9S*vlRTwM!m=PG)niTmY^u`oEKf-5m+pIR6%wETNb!8-#n%<6N4 z=oOr~?EBoCcDdiqx9F&{HSTMxATw~TeckQQLjQf5hGjrJ5I}%q({wC!ubvnO3Lq|`kz z4i|JgPSRxeiE51u_74FEf=du=4lD#~Ay+ZKK@v)M$I;)LhPng?4_{I4&Ir5wP&q<@ z8@A!9ddN$8;gQ+X%kMR@WN_l%30{6*5IFET#{n34C?+~**tLRI3HYb*Zst{jQc2;{ z=)WWP--a`;rOhvbDkIJYa9;xe*K3)ajilH6VM|2N)c@VUxeye@u#p%64tEfV9Xb44 zr$kXv3goLWC6``EegL^$vlv zT5re-Hobi7`{rhu0`(6FP#ju=+$FGh;LTdvYSl>`2%h!)xOM${-D+X+T@-P#< zx!efSG4^T87?*WMes`3n3rdD>yHWB-4Kz}JuaKsp^L{#z;Z$t}?KDepRMQPC2W-)- zB&GfFzLcMKyFm#=9>QG-s@-|u(Jl*#>U*WAu^#dM2tqR@T*8NBi_T&Cq4U2wmFf|~ zY}vHhw4_?#4zt)BU8TZ&`*a|arQ9P@dcq6A(m|QTC2SQS(GHf;2Q&5?+#~tmSWB56 zDbZ2L~MiA_xYgoI3GE@zn z2UZAA#$nzxUl_=l!6kw#8uwfRSua#6)dW{@H+X>;!FpY%vGzblYaqWb1?{Wk8JW=! z1+w9mnaC~8`O}IuK$J;-b;{;gO0_V_=3T;LOJAlts_`4e$)KLJy5F}!D9ZsbofQ&0q*F4-{H7X`B`M1XyR&z zeGO$$v3k9N)kq!?)ybqMV2b?k(Y(-o-R_0>ZOn_WhfVHEXI!+FaXoGnWvwXp8l zA`ZwF2~@)3Q1jjcAC*@P?p0yQcytr^*6Q>hup8Xl;?m^}$hK4dSzD)TR`=I|M7G;b z2~H+@;)owZIvqpJe{StW86H{I`rH5@t_?E`E|$j8KhJG6uU=Fi6=3(u2m&61=&($x z$0L2eEu}xY+T~~Zmc|@nI|I^Yg$8?*WZ&6G{DY*gP5+tLM-0x-hkj6!)(*SghSlZj z&!ziLEc`h`NH+Cj7@{gMkzjd~V3q@h$!#at!%wdey5I?J-AoQfX<^y3c`ahV4Yki> zq`51gkjYqF4MXD3*i}sM=FwxJezK%Q;`_tLG+QlY%h6YEmU&hp*;pBzCRC}AzdL{O z?K$3W*TB?;p4Tfj9gWis+d6VY`u)8>AWy7oOR1_*zPOd-2=zX|kE`;qMnI`gqp3H2 z`Uzx(BT4#E5?5^rCc(pi@b&DC_kaUt4L%eI_nQW_BD$en+UWKem`-or*r$=zg}Uy9 zD?xml3wVV%>hIQ#^phO#sILguoWOvhB8KgMM#SER7-_f>TRP zoY!zLp)L3g1Wo~oT=(Emm}^R?5Y(nXYAEV>*arO$VacyZc=Nm$%I~-H#p2o=BKSvB z^9OZ(C1{!A`@_~P&^+JvTMg*v6Dv)fAJClcit?RQcHUcnIpSMrRq&rQ6%S0WU6w%u zD&lbZfyY8)VKPqQao_+d082<=e(lBybHg}cSKsf&Rd%uDL1%RMO&R{Hr+qis=R7zzr-Q{2P3(ph4Yq({bc5;~-5hFI5TUm#Vz97H1S z{H!DwRXp6qg73|yi*&Gkg>CzYyr<$DUJ|geOgU708B7HGtM{2|S?`Ds5LT}qTqzy< zmN*5n&KH{rpDP*Lui*7?Cq~u7CkO_dD@z~uWc2LawRR4O#erEI1Co82EJXgde&e{; z<>Vpl`Pe@HUPkwQP#uC{T%iJM!k^Of;h4Q$>rO5|Zxrc1nE3vku>C=UVNiJJpmv(H z&mU;!TvB@o!SA3&2ut=#w5gpS+VKU<>hT7uDxbj_ZzFXx~SOfMG&;%))OhgII66dU({kzgh&~Z(H z9t~*0ovZ4>JfmujD@Y%Iolu)98sd(s1@EEUggb%0tsFD@ZHW6j|Lg26%+Z(p!Fvgp zpx3pFc%z~#2cp2wyIyYf+%NNWvbHC@i9sHK`_GUXeS9Ec`#sj+o*}i)iIKn~78*#Y zu=;lu>0)~KCeGQCJxw;XKs#lX!FUOk%5du@r4er2n{^Yzfnoq^X@V|M6~2O1(42DD zY+5TY!y-K7dr}yCl5jsRovq@7*fBapFdC3a?n09Om)3`MQ>&sE>&Qyc=VwDJv|>bo94ML6a; zZPIOic6_$vm4cGv*YDa1o%Y$;AHQ#hXtL`@HeF9w3l$EA$OlO3(ahAYRn{ZM(+Rm> zkPqYn6=>^%H9@OlqGL|Ku4F4;(a9|mS{m^X@+m)73$nAUbB+|xokW-evpAX+m_K1(>fEHd((LVE^+Uk*9VTi8n+3r>ezSZh zjHKGypNCY`MSm&b3!CR$D}3RU zwYHbRdS}gbNr&mH9)uQ9N%PHo%cX5;nm4r`VBhyA1Qkbu#pgMsgG{t%Ez*%uW|xQ8v56G*G5DnTw=9@A4Uh*r!@D$j(c%8PW80QY~3|n zn`K|uw|c5Fz#!x4)OxjkGPsn?sa@jWG0Q0O&=S!i<*0^Ngk9+l5|`Y;MBwcBRcdoX z$|t&d6U6fXBkcRTgk9b&nbFk1FOKIerAJ_&m?SdpQ1sqXYADOq)_$YUSc&2 z%~++N_f-Bz$t@{ygo)wDs}W~bFhToBF!>uEAtv5+^K{|IPFsuz_vxDBdX@*gU z4u6+FDa3H%GkDU+O1on1hRo(Xq|!WekgR4>$4J3C_}sif5o(u|!lfx2z0M-orDMy2 zblgEcsk&{tR1mx_e;k8G7TQ8fO5bGhdpTRF{$MyJ=>)Z8?l9yB4qW02=55QrAsWq} z0M=E+v8HiZtBUIFL=q{$2YSVzo94Wl3QYBw-qur?d zOS4aE>L&2AzzRmkcG}_D%bcUbn+s{$gCBM z&C2^^hWi|74@2&-><%$P?Z&tQa;BsKamYEY060pfu~;e_>8UO#X~?~4UgW$is)ghz z>g>Y(Xl0Sv$Zp*Vt@O_nj*d=SIfhLbhecsx9PN>@Aso*)ry4?FAI8C;ALS9imhFj! zv!AxGnJX!2!*ey-{P89yLO9LzE)X@_Gr*A#(mA5d*Yf{N{2g$SuG<%WeFm2ebHo8N zk%xgcrv8_OJ0Hn62S~ub|NLKz>VF&0{%^0Xt**o9%At5N^)S%#ZSHYzYKb5hg}4)4 zJdU&5tJmntrromRno@H12-&S5N7SYxu%thb)W9i3+?n`&G8q9Nf_1aPu>@WB@kZ7O zUF2ZYStQ$Y)KYZzCw?Cr_b@J5frC9>_Vm|i7IE8tjNszf>%@7RCwjjPhXI$+16Cl& zpYPTPjv>*J*9GbQ%a_2oU#7=y5D82-U+ZapSw^9{DjY;F0w55BE!Uzkuzz`pR>a*j zJ5(u>*I0Lexvoychjs5mqFg%ok}O zC{ne)NvC-LI&_C_F{SBIu^5|XhE6*#7H zO3R1xp)vD&fCO?&p_FdHFGW9+cxxr2`CmJvO^;n?Z&GU`qEW@D0g_)qrvf%^L%Eir zfIFy`vP;m9mnL78w1hlD|UD-tpMJP35&3E>m6Mhclg z9W=+h+c~4XkmvMerjsyL3jYrSB-WWOHyB3q#B~#&4`6+{S7`HQ^ga0(HSdkpyKBV| zFoyrO9lqDEsA%6kB@hzOMIaXgzsX;IfQX0aDDi`zKlKXj(JHvr&9H>I!A$5UQ3}Rw zv>0JTMi9XMg^QwyZv6_2gxQ2e4ykOLOX2IJQ8 zEv_TqJ*#}{`RS~SE*wxGZM4ED5%)7VNJNpm_UDXTQHcMV0be>xZWE`TF#@M$2I|q@>dd=>M>^=yKw~~`Llkz;;LrR40ad8rFwIsg=*%3Ac%bJDX$ue@g$d6Xi zO;gol+RnDm`Cn&cO^&#BHi%KR-Yq~tSMeXS@`ya&jT7WIsGLvjeP@4KgGEIi@`gc{ zRzTLi5kGlqg|voU7Ddk7#k@n5O9)P--*R~dNI`w?luprk)cwH2mkH$tmIpV5QtFPR z-rhS4D`IK3?}j9}9p(ycN)7!+0J3so^*6cMp`&ZBSlv9%?xt5L2Mst^%XmDrE0(&vd={|Q(y zSAZ9v3ga`S#93znpyUiTlYOnTrTxdT=7jfGlC@nDq8m%nGa1hlx20BG+6!?!X6i$h zemd5Ma|zZx22G+8j3Uz>R<+-EfFXHHfSG~Bl>l#9CZv@xF{h2=3U|Cd69w(Jdzh?} z*WSSINV>lwQY{4}-k;ar3vJ7O#bUfYPwL^(e?jharT~kLa@6Z3J7(%{H7KYZmkXDx zz2oBc0gHB>!`TdB|0?Sor&1~Lgn&Givj)_ocUGXIqfq!Sy;f9Bf;2Q>7<9a zE*rVN(9*Czrw?kEEF=3zaNEM4=vn)rHFrJY!nK@FxSZywwPOm}M0QEdp-}K$uNh=4 zt~lhhZ7cstP9u2`^np8@d3FHBa_{^;%polhi>3%XjOEp18Y7#PJ01ytUAaH!b!LOI zjA7?TtUZSxW#vL`y=_QHGRE}>Cdfrmk$@)vuO{r#)5))-y}HOzgHZh*N0WvtNx($7 zimZy5)zx4XJB1PHXBcqS?<2aspnt$F5x+@vD8ZFX&bo^CS8!o2142Y+$tI4gZudlF z#vTO=Kw$?m8T219;$kpqDz@JGU4TJqWTW^(5JK#oy$=?(pyaS| zqh*2g?M??56J?lwmQ)( zgw+qy69ZR(Mg@P}F4|LN6UoJXM@F3PFX9}!bXCcE=frR4hbu>_ggy;5?~*!Tt;Dsz zAG9at^6R5_f1C4bg@35s+Wrh$&oj;P3gG{LG7wcoyI0BvD3$Xq@>3LtaxO(1Vl#-q z19-jnGw9u#S~JcZw25z)QX%d~^!q;2lM=kHHh7%&Ug=)ODOhw@%avYW=$UN&wsx#f zhAO`$-Wy9hbLU$=l+mnR-dJj;U5vq|K6pmbROS-Q7sRR7wt|5we7?m87dH2C3-;~h z)^WgB`qUnAA1#U|Lna7M4s6f$+d7i;q)z?-`GjhEHNskC{B5k}6aVy%i>;SG)#>QQ z&RcS)QKm#UO-mjHKZEt;5@wS0l`5a~Lxv1esT)Dv%-aiTT{8*{tN9&}%KaH56Ll63 zA`Oh7YN+b_b{>p>g|T*nN2P&z%i!3KJq>veYHzH)j_HT@WWG)bgicWpNvDQi#CF+L zL6U>Xwc)xl&v}t(S}}hhY87e3`A2vVRCs-}(1`8hcxhgSnt5M?mYmL8+{d6$jpg{& zA^rh_2mVAYQ9X4+w5OIkr`H23bl`!1e*=>}riIM83e$wg#e%7v)lV_g&lmv*69Ai` zn?XKY^-v5G@Z6hU%}S1sU_0!c{|Q2`H5oc_pe@WDBfPnNC#pA&Yc0k~sf*yXo!)Lb z(SC!s2@U`#`R#&R!$XlKK~g(im2fUEr;lZ5Jc(U>N~yz$Bn-6KKrwLRE4#d7$K2 zWfFN$>-fB8zju{?=96xEyBOTZwpF)&r_1)PiZE^rtX?Y7|MGd~vqM13q!oUEs1}tN zYSHD5er~It8NKX{RKM+Fe-}(4o*mF^A7@R5#m~NTzbuBW8cum+*5a4n8TR1XF(Q0p zjnkBB551E~j`|8T&adyl|M`M+tp_l`Zmec?n^&mC!GLMAJn&xdztDYVykXwa0vTzj z()q3v=ss_FDA+uF7OAw$I(R|HiZ0n&dg3?bqt01RoSo5LvZj0|ZR`uukT*(h=eBnd zS-ZbkR(ALd3BdSHoGm~|X-qiy^%tby`j93VDwW9++hx$_a9}2{v`8CrVwLKjBlwo5|jaECTfskn60d&% zYz%)^yJi-Bm{imdqoFsn{Z<^q&i^T^09agY1#I9 z&39GZM+Z$7aidzzojbX(!cK~<%xvB!%;8s*DyP(x1r@%A`H+kW4)N`nxK(nKuOi+O zfiN|$_{{zDKC68$|9oFFFfFQYthyDpZ5Jx(yslMFe;NN(zSSh^)3U=ah`P~vCt^(= zaSfB?sgf?NvjI{qC@h+PEHEa2B2*(OO>J}u;q=XQg6K9eB zk-PLE=Yxj*OX|*;T3=U$hn>+S0U4e$-TsXhJ9?)2r60K0vWWzK2>@TP*#TR(HI@t< zOs&aJ3{%%eL_+CTM_v$$Ns_{M;F&z5e`S=gZ6ea&t|2-5{o~)STU^amfdW5d+=7lw zrA(gtSN^m)?1Wo3$KI?8gLmIxi1-3fB`njbeB4y|6Ym+WO|Fgb$T6IbgZ*Szc@Nc# zek;`_I{YQ0rz=5WwT398i&QF|pYaP4N7#G)V?I7W8fCLj%OAW92eQ_>#}AB_tvD=x zmOGN%dj;NKsC&RzTur1BS3lcT7c|3Ud#!NcwMbo|j#f25d4r16eBw!hvq;J>)VWt) zJOm%v=XNHS+>*yO?6%HXH<8rMjY@|Xw84W47GEI~NkyLxug%=)lL{G`(|!}g5H~^- zpi_lG0lk2j#^W!~WVY%4B z`xIItV@s^Y`@?}y^DjuwGJ$eR!#}Gnx$LeWCYPuh1p^(cCd<|N5anjQ3s?I%6CmIp zQJ}04J!TQ&R?w4LX}n}1C0Qk`4cOP%Jd$wFWlI^H-HhkW21>liKzb<4_6yQ$``%!; z#Ug&|aK@2my%5p|_ zHqDEmSP>bOk=%lUpp9m9vb>@$Gx>G7vL6RV5IC5(qi${Y-Od3x@+jjctDNf~eqx=; zi8jrq{)9rV@(Z%W=b^^(y0E&YSxG$Y zX)%~V@5=6cOic(Hc!5TkX2aWNfM$h=;4WG`O}43EDYl zmEi?0(n~8u;H?d%5kDTyCP4mq0YgZ)>7nOH@WL7S#WD?FTUse;iBtOiutx+TIQrp^ z8o_(G|HkYuh^G+RqUQ2a5ySDK;b!S8*kaPQTnx77mBj69exWY$6XdvDgv@~)I-DZn zvEBonCx~8J+*4c#8n}x=aZ!Kl(PP6rzcwCaEPuie*SDm3#hhE+FPxgY-*+86({;t( z%tyO9$4YLDhqh+Tqp#=YRlM2d?*iHCdh{(sbnd33Rd}rtNT3tD<~VT6!KW3+aL+Ed zrFMDjU{cAEP_vTBR~$3vmdFpBhUSxb*)B}4lYqrAJH%M1xRNuf?1Fa>pLwyYL z6Fo#TANo%RWj}3TM>5ABc~VU?0TQ`eB9@VPf;!O#oR9tdei|#4J2{E{OKHK zy-Q&jp>LEqRNh>N9{9fIyX+YiaAez7j(1a2D)w(2zvHF6%2R}I)62bxoq)w<-_-cT zBEe~&`VUfit-r@SAraxB3|_-_&ZZ_Sc*PVfrT~`vr>V#&qapCA6iri?ion zJ-JE(DFA94A2LMA(u<+#lKqiPu6hj1{V^x()OG0P&_-p=Mw9l<`TG=sTTXO#+cIDx z3>7^^C2wUS<@90BYUJkzNdi~V8vOYgQT2%=G^zw(dtsTkB!E0p0Xbw1uo~G#&!pAg za;gg+Binz^X;eVAc^g=TP>?K;=LGY)cIVmun6I<0&01u9b+s(>mGUx30KjUnFW58$ zG6T~U2dU2fp`h?iV4&fGzJZ-T*h$GlH(dxde}4Z9;@Eq7N1b(^L25cgV37kL^cNya z&-n*=hu3x0*ygpc!Z+8sFFOLmMe?Xx^IOD`uQJ0`(#9oI%`-ELv|JgadpoT}(rr-T zRURjg8YA13p5}=^TIx{%d_z)mv#0+7ZMTq)&Jos-oz#z_dS*vOWJ4eIYoW0O|q0fLmnNX-qk5X1`>~>@?sV zNb2_h9u~JBrkx=;#yyGlo0k@XZrEy215!vp!-L-es%GONQ>yrxI}rBJ=R3O0@q_dE zZ7jXjP8i@9+-JISU%;0=c&mGRE!Ddal$oPHS2rfWZRbWp)SWQyXzh}KK3(eGL6`Xq z^Z-yQZSYJqI5)aK(WZ?YRhQFn)|1b)5o%}gdU|7{d(gPF>oYlP8w-wvXD#i4b{0kIp?z{5Rh_jnmL4KG}RhJ%Vb16>jT^l zuE58$cjLI?Lss)S2kJNda=KssAR@4W`zWBV&bk9_ixv}k zi(T~qo7lIk?i-==^8LvTC+uR|tArX@Wp5u)=sK3(kk&Pfgf~nRs$Cg{b&^#QX2v(? z8jN3%rFKS>9>+S)+R;O&`7LD8Gg$Ea-;NtSrQpJ|tgSc)#$|PMT`UEYbZEK#E1Jep zf|fY68j!PX`1+n$sy(D;%!k~=Szy|*Gc461eRxw8QGi=(HISMB+$U1VtJC)<+W&Tj zlvPv@`upR0VrhE43dh#pwD`T`WXjseKE`L|+ix&|J%5k9G1RQijW1v3&vl*=T z6Om4wiP2PECD5uQsqgoGGZVDmJB|?V#yK`7k)gx=ri^t-(hgF}x9=5(iqq)Jpfs+A zqZ!3nc?R+21!nI2s=s@2`N${GHZg!W2VV)G)#ymM|6%MM$oZLwmCgDTp9i7lcT?p_ z^`dk2QK;_2(c@~l?-YmlH`m&~1OJ*+VHFT;VM&74TUaCN(wI2o$U&xjCL^uRLoc>W zjf@7MV2Y#yc!l%f{|4+ZsRTh}P|6lb7buQP>$ zb^JCcv3TvCHaLn_g4wfU$0qRerFr0XGx&WXg~1uS;j{A&vOUGGdnsQJN=_xPxv{$V zcuW@qi7A~#Ya&>6 zEf~jhF#m`5Wh_NEDjNv{Iyhh@#clNWSTIBKB$8fx^J3KJO6eTeaY8*A1Kd>)X&Axq$DSZBar3$ zMTK7M?$w%G{R*rNx>@h^lAc6|^YVGP1OyhksaC<%jv^EU1~Y9^SX?d;iCYK@?GLnW z=tL^mZOe^|na7{`0KVvaPTRnbU_njnj>#WiX1okt&_-0~Nxo#X{G3QyfYrI`V~o$# zDj%Tk%tKP;a8p`IPZsjC*Rp8)nP;T2qq}4FH5woti*mr zJpLV!YSj3Aq~|{a(f|B^#Q*VM{anxea2$@^UPuN0OHuslEW-Q0rEG`KOJVj1{MUa+ zVCH@SdC;!oM5%}$aMQT-JT-$5NxC$YDx>%i;^#XJa508q2&gNN|98q;1v&wvgGdar z-~x982QW#xS2EwP%j5RxC7m2gB^gXwERL@f&Cp|`+okfcgNe4j7DgO{Fl3~vjG<||4gHvp{Xl3}Ql zD!oMujpu+f1L1M$&)RydT-c^|EXmh`TKJoi!(4Tpp70ds64N)1%N(O%CgCWxz#w{o ztl5-{wXGCdqRpz_SO8_(YS9y@3Kp+kSWxf@pbAzZOs%AfpFY*ctHdKs7FE=AUNDTh z+xW(biPP^vWT?|cl8IubA=Z(T1^E5*B7(t!+_Q}bQlkzB-{Xd2Gqk$;1enzyg60phN9Klg4~! zlw)Yp4Ro_w209C~lvojTjW#0xqX2CgV)ViE?F2_R>^nj9JcseYpnN|n71=5ujXpA8 zfTSOLOB8%=WD@i~VKM0O7KKQ4p!9KvV1h0JOx=O}PLTgIcK_d|p#L9UGn+$cgl#9B z4k_>VfHf#Dfgk*c#0UDMteFjJ#&`I;ji``HrG}py*=V^8ZcrUG{yOhR0`u8&VF-#! z%VC3?EWy6^NRYxHm~SC!E}(uM29=#<0)_)B!+>PLTdj2jQS&c|rO^_gNOjY6H*_F^ z&_*r*-Kb`hE=LN7dWkz&^(LLTVnX>*>-gx9WC8Ln;zB_tNshG`sPYz4u;BBv{BNci zX7;_{mSw&TM&E*Vn}kcF3IHg3DYhWbfwe6s2Iyfl5VuNME41~^|Hkz`O!e003|0LO zl6Ddz-qZq-tI?GC=DFvKJIISZDXt}J$$UX7aj_Gw>>P7~liAUA+`Zlxpy(y_GyoB{ zQwW(d_dp{Sz~2OZGZ|53;l&x@{)RJrrm$TIOp}5XgMgQ?cwFQHda(k8T?{6;cjM~rO90H5a`B&cvx1Icf2u@^I`s1;^;G0t%`vDI;Z9aj}jc}))4N7 zQjqlC8hE(_kXe-(vzL$PNPE`DP8)6|v>0zGLLgjNRu-_1OLa;> zUhV94B?es<)}ETdf5VT|uyrwnjf5l0T!XOd1LX8VS~tk%2VYirN``6Ctb1dCu5`ae z-2c?!;z7i(((t-gvUMtrfcHS)ZgwC+-X(y5PAlU~-)lO>;UKhoaqJ87I)rbre50kG z+wL>EWehJ8y z9u%MowW<;8wHE{rH#V6aWS;5k2iFU2*K|}2_9j(r8B*ftw;@Gnkh6+HJ?A^9~FCiOa>FrP!Dr;?~=mwc!FYq|E#~Mmd#T6W)30Y4-0SzI& zjW}zz`T({Z?c*9BC)IjNz#WeAj>~#K;`SzSsYm$Vy~-vV_WTF3N5hFYxe zk>=6~qB0!5{Np*v=jVy*+=Wx>$mxgrJLMcmOIW%{Bir65@9)4-SZ3Z zWMxn}Ytpq0GVN)kFWkL**`eYM#}(e9$1A~!BC7cucA3QMYe3e|n0L0bE_*rLO5?zu z6Zo8OPCLUp@8hFt=}V7|UoD@@lsbTn@dI+HVG9fx-&P*CUBP{^H*sEh0K4yH#zV$K z#&fdnqlnnGJz8T4$fe~4(HLK|?w5@WO03+N%;HP8G04)AuIL$Z;haR9*K+=lyuSvL z4rn2m@aG4NeuqWpk)I1!u$0tiPbZ>hpkt-MXlHSX0D z#wVHvWSQHf+|7O(aN^$1mk#JG+lqYv<8dL>tY>F?J1{|c9$NH?(wNMy*JCM>8A#F) z_)n!l_L*FOFMcAVs>0*3*w4KW#+~CuO=M)94V#0j+J)*(I&$4u;>=lCdR3=3INXw8 z8V$$2VhP&%Pl-0Kcv0?=0{1Ggck+`P+5W+InPp^_A#rAXjtl2(W!2mHnFo!6B z2eQhZz835+I-uF|ufPzmg$TYnefKvLTN~M$GiVgJd=cgP?hsqI0Uu@V1Ek0?J&G<_ z?G(%U#jz3km6cbG`k4HQil3C+I>pIN{=mxEWg5(L2hoYh(GZsBQw4NXBAfiOj~lPVO+O`^FHRPukKXPwPKKS6#Y0N11Tu z?neW4#6+;9>S7vm>3+JGZoYPBuHzRc_qs8*7B=i7%D%Z14_Wu)!&UEMV(`05r$BX4 z@3-NVHve0q`?sIc*7nc}39**Kd?(j~Wu7!5dU-RyPhg->B~}SNOskL}S&dU1#k$+`e%2<9keIovzI!kLUi%el;&IZeCEt zvx*o<t9u95E*12_{~bz;@igC) z_&jD>XCuQRU%O!jon}SEKASHh7Fvz^<7V3D34SJ=6TTmX=k(sCKB?hH93S6d@n#jq z<80*x|Gl7k%-85q^x0!h(N8fRw2%`v>OHSVzGzkWpBa|z1gqQ59UFhOLmt`Gh-l;X z^^KSsW{41Mz^?L^-nIS6>Ko*%Q!gvB>{V-^1S;hJhKfKGc)c?or+;fv#&I;n5azwJ>mDQ^{wB2lOK*ABBE5-CvE zd*eZ9JK9zisDP*Mi;Z8;H|BfuWl~HoAd!yI}g-aCJ*e zsJg-Y1N|NNtfiCb#C3I4Is8sho`GnU;vQy1TWWFL8;My{U* z7X|5l-JlUI3^RIrd}ywFZcMy?*3?6FXUvr6^latbX5Ug~Ev*E7<%|1lF~PR@O}cn+ zJ(RqGTkS8~r<->URMp^K>670P?`{=$td3*WyyR_zvm2SGh#m!_p0t)Cc_f{;;yhz% zcu8kaVz+HARGG=o{&9D-l19dyGJQ7e*lZxjWLW?~EgRQBG% zN5Auqh`e=v6;1iVV0d819ZCRxd{mB;K=^slIHvYklKp*|Z)I0^fDdYWv>PmWS98k- zW(P3;YD-iQ?5+U4%bF<>@7az*>FQhO1MVC-gteY}QB{ST>zS~9hUdd0k>Ld+BCECLBC`t=#zD96%->xWJ)0=X2x%$ zF7dx<88yVKHBTko0fr8);{?efjuy^Znvt;#qWVT0sb? zRRwOr#}1&n7`Y2zi(lY&m~_xAQahb$TjqSG)Ag9*(4*|uYhh@A3Xwo;kWDy!PWF%R z9N7`X%nyeP&jv{vf|nl*6O({@p~Q?K6(9vo0GWRnhC9nsU%o|9Q-iZDA{r(E=E{Ob zK5im;8FL%?T%B?24s^rufPI1s4CUn})kg)^aElW9C~S%EBkKyT{DW2_@FIIy%@gWH zc(9*w;Q_^UZ9g%>txkD?BUrRnSwDoa)+>XjOAnE;ua1NFU(V=kfDoJ{+1lf30NYKH zdx{Hh9%t>oY&~1s#ztu40KnyzGw;;tP*Kkcqf^~UaxXH~wxS+27!mV1l6H*YQDC;m zBrj%p^IeWT5tj#B0*G2as&TWg(`qf9fg4jHNR7LKT@cE9Mbg8(Z66fFASbkc^B!w& zJFtX}mVm=Era+1XZhn)_H@+5C_<(e5aH>XFT}c4tI{zx^5985gwdfEMdQoBS>k1~u zg1soeN3bOgOXO_(eW%gm!1!+*vuD3trij6F8=_h`Z)3^akc@)4-t+7uOs{0odVX3C zZeF^Cn#Vf!7`x#<<>x~wAy=-al1U#CxlAz1IKY$i)IXvw<)_(gx9>6Q{`+h2iS083 z16CWPc^LNEUwqHOxeicX?P%odq6wa!Nw~x|DW9}Zq5^vLm%3RRG7+NvYVO-#U^=%K zy&=gIEYd|c_?Z-j!KUZii>pT7>r!&!%*U4GPYZ?45O=P@eLG@WZL9S$U6cGwuKzOp z3vzA=31#lj_G3stw`0uUJIfC6olv#2b>^PXDDx*WPw}n?o7s&2a4N?1h1~im7(6KM z0rc4b=lRhfD#0yQ7$v)@hkFNFX?EYHz66QRHBZGG)#qw7G8lTMaduHSONlI+@|eQ+ z@|C39$Y(o2HU6ch{WJ26YWn)tBl~C}FcM)93hN7wFT?jchclG8Tn&9obS?MSKjVAz z4dSey=VA|7$&vxe#ap!}lA7E)4&pm4zwb$6ONZKM4arZ8y&O4CP-2_UZV|_u&xYvE z7x;ozOxvU*^>LX4Tg^f9xNX2p`{`fwAr{S1?DKU1zbxo%Bq1Xr`688CXL&r? zM-t&BZ-x3nOps8a^}J7BerE5b+N0LnwIJLIrhHFTiyeem0sj?s(b^k< z#hq@lvQ745`|wR1eIf)WKJsgiF26@UJ^8zUCc|BH(q!-*+q8gIjnd&7+E0@yE<<^X z#UQPGkl-JN8Tbp`F-^rkMP zN;!1O<4dvjog3dVzEsqDCDh!Q9dr}Tg3jlhy=DKKUZ1N637PD1AWOvEkt3Ak&UUy= zxkfDwmAAKK4NIF+USfooR>xd>%EMH#cyC$1*-CpM%zwH1x`c1^H6az#f~PI5f}mdO z<6qdK?A-#fy^t@+<~RV03YHNF~bZLhn;Hr;6)JV1)O%!OVZP z{vXN&E}?b0>Bfhk;{0-dm5_X3fyR+HqO6qo-uGkJMz*K^>)Beiop#xoVgC{n3^yPd zCUiWXz;P&;?%tyKpDwD-A&xQXvNi3YWTIL|to`r>P$knDO#??72l}FHNC@4xfP>_o z7{cBk-$@NRglB9XkB5ZQVCqR&0+C&yXR6&@X*(`_N?y*$Y*v`Jq`v$;Y6Gk9BihdS z4$ZELgq}7w?&@ld&!TOc5F!poDtnCCzC}M!gQpex$7xY%i9NV0z=yLU^Uyi@BI0!; zWpmZ(FMNCAx$=f4e7By6QQ!4sON5oM6Ms(b;Bi~5z$B8NKAB4-pjJ-^Ps;98$+2~A z3~6XeE2MmdtTh5{Qf?5hFkW(bb)}aL5v?dXW#}Qwf_4kLa4@DFFvMtTW;P`bv+(VxvhmT>7G} z3RVLUrcOPg3UY)R>|pB4>=%Y2JRd&!5Kpl9AByptWNWr&jW)WwnXGJ;M??OqY7!?L zqt||(NB!$IlwOE#HAi=4AAEX!9cm7vd}PI>i_?+3e&~G|R)nvdmgSN-p7$5^hlBH5 z(_!P0NV5U0t=ERTm8*fBYUn)buLsM*lA14Qcf`+baOBFLz@q-ATreq)@tD_Nr5%uG z1ZoYBOhmeKMbaWy%ULlWG=9@M8F^wtqYGqIU!!$*vvw6~Gi9)|7H!^ltkP_tTlB`WzRluOJ^hz7rM~28r-WRT3w%Ki<)i8y+--#Zp;^3tz&%bb9i}> z(Qd|Ir4ZVumJsf`{mD}SX%uA_0)vel!zpa9>`1`miK<`|G-jIZHt%yqP~9VH)hImg z*x`gVla4xmV=6o}WDCCNaeBPfo@|1L9Ylw!exWyvY>>=vQeP%Fz;-Q4c@m~y=&wV$ zYHeK=2sZ5k!0Osb4^OmmOAG}6T-HwNo_)Rbf#LXrOZ!?|-o*RJXIig3C-k1K_z_agyt`yi|c-5y5GsO;dzJtWmDkl!H9!2~0y z{>mt*je!`>?t^^)BFJ%0nZMasVwcq9J<1?U{3bvfv=bgoGl&w7s$}_zqm2~jYm0FW zan~6(`UD)oeh5*rdyAiZDF~^|wz+J688Sr*AfoEIDN%QLFR9kQ)hzW|${H5%uf_Z7 z^)%`Jc#-xi%8?AZM!WRPo@MgdK`=3e{eq|s3@yE^5s0m4!Pns^Fkjo93HnuX_B1{B z(fwEG@D2D`phaY#usJ2pnm!lJ;?|{V+FDGZVGaAJ?2_^VHIqS(+&Ztm zl?(gwZITAiDzF;io=LPkC3K#g{AH(C2bcwbu03mjHZef}SY<AEk6Feuv&-ehrB+ z1tj(ew4fF(0D63qyqP%To{Ey*yMxtp?_y@+!##kS)wL6 z8nnjCJt0~MiWLWT_GZCg`VSx~HA&!DNx{hr^+jCKXcYg|(hZ3EX-t)9C|Q=f!L^)iE;li6@W=y}T3NH?C(*M=BL9cWcUt*8Qp*E*adpSJdo}H^$5hWS8_dg#=^YU z`X=r>A51G#N^IB-Y|j_L(+deG{gw4Qx3TahpeK=u$Mu^i{#jvr=eS|L%{V6X1y5=w z;)W-v8z@_Pk8UwIYkT9nGfjm`7!BIh%(}|=y}n^-@(eIg!|4+@QeVmsU86mMCk&t9 zKA)D6jQ;bEH0~nfN3y&0DvA3Go?`k756k<{Q+Y&*vudJ}D^wMMn4E3&*%_4gXU+iL2BgN$T=% z8r^@e>Hhcs^Pjs*|AOhtf73m;)-hqrxrLeZ3eWqQX))d>1RI+05vD~$dd z3scwwK9_GPvTOp=A5WesmFoPA?jGT}DJID8MG8r0^8Dnl{wovDSn%uJgAVxwdIt(& zs@|o|i1`mCiG(6s$VmGL3Cu9mvJR$fD^KUk4&I8%}DX4$UX?obgwb zn1}J_NVFAcDlnFyDy(Q0x{WP(3-Z#%;y7mo$`|RmvU^_^m_(wPdQB^n+cXJw+ACk| z2qocwE%>otb5E)EF1VA;C_ ztwqiHJ&Xy_1ZcbbYg;|@fATE<_fN+E;wO(jfUQ0GiYsZStuYQW+7;2oic;tlUBVBh zZ2)2Y_l~c+I{>ov9-4M>)dG#x^`UE&pD)HqP)4*$2fagR7kFf}?vSt#FeGfob<*=r zfpMfvCj}o3T6>kGJR6!UAE!>&)DYO-nZv#F$)7w7h@Y%;6 zUk@p}(lPmzJ;_#wPQMoQ?w1$Iug_MH+;K*G)O9}9!}f>4wwu80j*TLVN7n>0Z_MD7 zs-Nma8)QQslU|+UzVcna#FqTN4JrZ71FuO;^cH2tQZxqSO+G_00ZdRN2(o1{u-B+I zS#nRZ=9`2TCq{R?rI0M-RrnkEF0-p06dB}BLN&-C*3<>w08w;DYHJGt5SS~9`iS34ZZdnFeBHLnQ(Skb9Lt8?V_*uqAAGjfzK9tB@#7-Y z>V<+h;S3ox-juqx-nRsLiY$BKRsc!XLPlcOBUh#1{}^NcV%*2HkS0-*)x(o1{uz!y zCNK3D8+WM3*(M4`lsX?xT&C*)Wi7zH| zphwvVho<-^uOMObeTvg7MV_7ytM~C!FKYA-gU*W+us%vU$8KN6X8jN<<)({6FrE?# z1YxK6jCCxTX4~FPSBpSA6;ydix>h>o{_sRMb#a4h%Pe?kC7Z->2(m$_ivNki`?Qu z@Aj=AISpl8vzZk^Bk57AeLGnVe9kAHv)|OM4Uaij4uDh_bh;|dY+xef!&jo;%r{C7 zDDP1J$)+FK-i*t%`y>R`hT0x`9^bmt=$re!=DrnfK|8tCayT$>!@Y=jai~Ici}HhX zMmLvlK-@=*4FwrRtdfl(XOb7HvwJgq-rLjdm)k=_Va90Sv?Q;fwlgm;$J0?h7z1|) z0%TMDpcY0{MezmGOB&RGL-yKShcH`Fso-nYW9~=yFys9ebLh{lPTY|9oq`&>r$!^< zNZu#Ago%!IEQ**{zq71Gg5HKmBTbNi&%$?gtYYf!Ld+$zxR^z$@D!fK#$-=@YH#rjj6IupG&tUWADsq63bh3%`kCM2RR zONNRTx-R65PECRaZtkCgGx=|f{~oxq+Y{Pt!vl3QBz zS_wN9u-FTM)L{?sKRo?5u&l5VbTqACAQ|~V40$M}-f~b89^J5yxHB6xaBCo2cLebN zV%}X)4)Hdw3w?BAh<7)s%Y#0JD54`_$gD?+Jv(;PmzSR({^nErBN{TItG}yG43Khs z;4$n$+n@wDR&B%nH2&<=xBFQ$MjNjD<@xoP!{SC;po`WVLBdas&{2KDFP*7DQNZ_X z9J5)K>qx??Pr2*m;pt{Vx??|E^S_b#@StUvcIBZnYd(=dJohM+ayE^nRfy* zfOOSJoId-~lP`m{FfVRLgwX$Qal<*<*z$7Y5hPO0*#E=Ef*Bd>+}6MD>SC$e`Pae@ z5q!WJ0U=&F#+=Hl_u541{LKF&mixu8jKKuf9ote;+@fB1myM8nQ3wENNgDDznLa+T z8()0{U;O-fg!=xDksF5*gVKo?oM>MVt*&|0au$zLpHu2hex%@>r`)MQtqZ4)C=H1p z7T|{$=FsSUF=%W!>?%WuJZ2(%iPb!t43EBK_umDd#&YD$8&N8({?&T0&>A zX%pG#GyW-Uu-_Dcntm=+%u@&KSt>86O=-pW`8pwCJaVmAk6v_5tBFIh9jTkjKWww~ zaa1I6Dm?*OAFoynn+t&7MqY;SDyV`3eI@?_dd1Jw^=`8k)8t3N^ts)0W?FEmVl;{r z#9m;4gT@GZlpPoxNjcv)w0I!9HC3~npXk`WQIZ4V;kVEmy?YnZ9>NV@hK}1Ziq>AE z+@**+CM}XDrdclPL-PvpM1xSA{PONMn-E{@tWhnx2^HSWR<8Gsr za#II4vXSFBGM5)sq!c3Sq&l)K;7Yp(VB z%$OE=SAw2&A*XteJfdF;Q`;!=>@p zVn07r94Sg^&E<b!+Q)I%PughhlMDs(z49 zB&$@W)Lr9|=$jCzV>Zi?w@?v*O2VM;VDGcJ=P75LExVc!HLuB#Q-A6vJ+Y?b<=IIs zGqF6-36&>}aR(t>OWQ}Q7kzgBjQn9#|L%0Y=)jG@?x{(b4&D{AEC0g~3Dhyazg&C4 z|5{sW0OmnRR;lak>R44n9reS>foVfM5f>hI_V|4HAn7W%KSf^`O`dRme)Pv=>tCJ; zs})PmlMGcmO9YyrhJQ}|z(LCb0m{Rj&4n^=yVbWI!fsyCIQbrdO5VR2BrT9Y=4+3I zf?u|t#(B#z)La&U#+bs(xVce{KIaLyJonlr08q$G$!V4U@up>!mu*2fe1xbFlI|c# zN4iaMZcWf7woRGbU-!!O3$LtIS63H7fwveHHH@O8A!+ENk_#em_Sl&^v((iIF0=|X z^_q#P9#24ADpIo{UTFA6u54-IB{YL1dE$W0(a>L{KwpV?(HulFeu8`S91X|SO( zrxWDW0%|~Lrp@JnMq7iac|R9}m%!|TF;qv%WlG7nwJU^=&-g#!q7nnY+;%l_!kReG zTSV4@>VLo2tMvxAFz5*8#v>{SPIT_CJy<2^J#l}gL=69(rXHZJ0vFX|&X!Okq~~`W z$ty5ll5$zYN>ZWk}cN4#P()< z8`zqRcSH0djMhGJ-$`xzYgq~Ibr~cSfdPW*z!+dJGsRh|1vKw+ExYMg>+Bb2_JLCZ zaYICylUVg=mjz7xC#@@7mcuLkX1~HWk7SeSCLLpS+}onprQaog;Z?UtyVh&ob`mG) zT!~;bNYu{t4fLBFd)4V?hL?Z zL&r|Oh)3T)C5ze0vxrn$Oz!~8G^6n4)y!;K2q6dur*_TU@zJ3P{Nq=YW$9|`qh?Bf zC=e6xOjKVbg9=$&-zgdSTjoxN2OL$XJoJ7~$B)R>VGa!Y!H!NA!bQ;kax zYidHUx4B;weEFW{obMC14{)@~wgx0U(l-*^8~R6wJdBzgzljIuo>#;RS(G>-=IIL+ zPkM%O#{Dcidg+2&*-+nOhcB@FTj_P~5G%#5R;XRyRB)aU93!6M_K~$DEwF7$;^wnt za0+zsjDM{}7~mKwC|-O%+1D{@1~=QZ@FmE%o5}P*9G)@sDXFLm{D!qPuoPGCTr+iMA1V-N*;#^L)U{Bd){o$@Y`?DT$KpPps~l2&rd9sln%Q1 zjgOi!q06V)6k}wj0j-m0CD;A7i8AwHM4E`$$@;$DH$BH-*TQDV1BBNLrrlQu_Oj#) z@1O!u^#^>xsdlSXCvK}$3 zfpVvd7B~Yt%}MqkQ-jp8HNC#+VrKl4p%KJ|lD1xvsln>xx8(Z>9?*oGpZ-HREJ(XR zu@$VsAG4LdN)7;%b%@Hi_$`nQR0Y%rv;#{&E#u2RrD!z%@P0sfjsMe!p{_-TlBe#M z=OOR4B|dn%*%w;iI~w#2V43Mr`Xp$-+B1dYI>52|$d}$k51v1K zXBolIRF_4;q7X-~)As3~_)T3NrOG%0m^e}gOA%g2f=Z-_+IAu7$)xOA=QRE2!(l%2 zV1WYeLf6PCE4>0tGQart`;=D(mgD*u3EEr_nQ7GPH0@KjX@Bw;;h%hao)0iq@vkJ1 zI>ES-|FiN%3uW``$1Qo7Txyah=JPw?T1!XW3FZdi*o<}@!NSkj_cV(Ql{oJe)XjR{ zY8C#7^37J!s}xOr)a-_qXBrx&C5J_})cr@aPHTS{_rX6P%s0UBMBjMxB8vq@Gbx^n z!g8!KRshuqCMB>I6XnxW+&4URqzvBt-ir+&CPuyDI^BTWqGLlS$z>I+Fy6BxR7i~8 ztB)H)hf<0IEt!b1-ovD$HzJ)4O2?L4gu`xZgi}oZffQ0)R-mslM?Pb#T7F*s@4c_b9 zenKVOd=$*_a;r9ohBAPOv=_QJ~5cr!B$!IDK#on)2cCsi6fql>^*!JSerO8&Q5?B%eTd_C(+CqbR z-MESX+n!;HMWu`#s(VobqYhnyc#%k`8hkQ0zRar28?epuqFJ!G^9PKCCPl)pTF^-G za%8IyWH!lDIsm+uHGnEE#7f@kZclnuX=iYiJs(yk*$U?tkdB<6-Cc7-ADE0&c3-`p zKEOTzx)vlzv_YXOPz-Mvgl);K^e?1yJh7GbF5$J{QfpWb_q^jr70(<3c1-xKYl8t^ z5|$d4x|s5BRQVuR?VfO~)!{s4k6mr0VFYs_C~9n9j)p`hLWIZNy?&z(?~8@8Wy<%;qP3qnOnH378%|TLtQvo z&=iE`gMA3A8vZ=4{h=fE=K$!bK^c?I9a>DFJURH?|BxYDhk(oi5@XKM>w1`XX+zaK z7Sro9YzW`OhHzF>zqURq(m=%vVkWBKTQ47i++Xt##r!8ISYaBLJU1kP^@#F5Qlcj| zSQ1s5MvBvZ9sD2Re~=Za%P4EJ-O}oKT6feKc5nO05d`ah?B{ zd%^$E{zDEH=r>wYMR5hw%RecRLcQ^47{+}J1(ELa6xQg=`a+KO2@IrFq0=en z%08<}xV(IK&|cBTVKX9BdG z_xW$}=xdZz?ig&LeNlO0+oZc1=CZS}d@?xwCXmH9lAV4XrxC}+$Mw!bq^8&y)TuQa z2!RqXTtjJpQPym|(_g8Q=y5#yq=$)6&4Wg3LaEWOpgyjbG?6IHQ>OK!^w1>&y}nQ& z=yG2`HIHLJmxJf$_c-tv>gY3+T~a7!Ze$B=q+Kd4>al`4TGs;^^Nu3s3R-N;X)hUi zS};jYz@UKa@R%8u?#$02k49(m8H@?QMozU@EC>%HY1CNUFL^7`RSXwY+9(C4#X#UD_2#!AC--fLJA4Zw~ z2Ry_7R2BYWRY)ilOL3$TsuPa-8ACm=+DQSiu+l=qlgitSWUlb1Fk_?V!udTxoEXZx z2jyJ4uvyjy0i_S+yMYK_<{{;CFoIU;%>=jgDU-p`)gJz$W<;T5{YgDg*)8v6^!(FWM$n5!MHu^_)s7(Y+>@{?VOcAEj@^B{*3Fm~@LcG5fZAPQF);FvSu2bh zoMg59<^HvIlCC6)3|#Iqb$uN|`>7~-(d)t}{Cl)6^=*$KeXwwJb^RZ4ekKk-*uL>O z8_9joH_w}(DR&4sTEGO(4yfSyu8Ud^{a4(-0Gj=tmzXiCg2~yTvIB}+HCZbr`2SGK zq@()hZBu{FTaH3e^e%pG{AWH}`+11hFA!J(9>jU|^;$T4qBs7x3|m0?23VSb61d-_ zuU~$?nIE{F96oVKQHJB}2`#>xPBtsuA}CiM%pqF_qU|qBv_iQISBw;M+7d!0wHbHz zhS6VzT-yWRZSYXeNLd#YxeSJaXi`~y0P}LkONF%=8_jih4As*XKq6s5D1nYBgQvV4 z%->nRJ7-?KS00?JG1Gr22jM415FPPw$~w-kwFRp=ab60kwRbiO-9r@NBOO+ZTL`eIiOTw8^KXN;1;Wb zCm-^;nz4DzD+dm2yP(qs&K3i1dECb}#s|_@->6&}+iD$*Yr zJ}E&4g$&!$7<+uMlCD$wR?6~3GHf^E<;mlx%P z%5I$piFPCt!I0ulTC%oHPMDNe}lM+-RA%uGjn{g*+=2u2F0W{Fety1 zfPqen2oVi3%fNyM`!g-mJp2IhKKP19G{Whuwjo>>9bjvKiMgd6I{&cDR`4_+;xKr~ z?eLTlEP?W{iA}!u%A0tduROWDAI(S_kv?I)GUO~FSz zqN^y^0&lK88?m1lLlf~dY><11zkm{>I}jR6@m|h5J?7L5Vi4H!FgFD}jpFgQ%*t_o z(F%&souU-t*!}=tp{K;m3O-skLwP;F5X>a13#JChimyP*KOsN#yR^%)TCY$^J?0*? zi-WQ?6@bui@+vu{EUZVeff8F_@>AEF1tOMPck1I8NHjorYm$*UnO(hLxpZQ0iM3GP z42lFGch}q_IHDPGk8fRJv|;ZOxv%aHs2;UL`3YVuA}MT83XZTA`cwaU__98z!F;S1 zs|cO{Ih3UHJx`6Yn~jpKf0iGjSu?7$i8vihhlhsWepJzd@|<5Lhuem)Zh3UnZCj(7 z>)NV-;LPdd+W!nf6182NUw}>%UqYk-(K=!b0-`VE*cgw+o9gPyUpYBBt$)puy+|QY zC=MU0%FFTH9}+@}kAU%;Wn+PG*)@M}TFzlx`1K;O1>gLqtwK9~Zoca7J} z%d|m^9QzLkOX{wLALH2grofZj1e}63uIjfuiHGIW;_jtHsn4_W^Q3cdmb_K|@~zf< zzGg40DVCYoMJ`WZTewkvpa;*KF}iP`7K-_E$wF8~U$wTqju>a9Ij^!NMrov_1V>uCCCx^F~_4z!slu8$}7 zIh|$M92Sta;|EHGjON%R$1dk$_yDZS#l+o<4kMUERbXaWbL?0=%*a6)?ECk>L3l8; zqLB~+-+8Rv6BH^J<4N0m%rS8TFgTwU^G6{|@ih8B@MtK;+B%CS0D89c65lM(aeg6$ z{XD4Rv0o`^J|J78=xjFsfHG%dJ_~I0Kt10E0AlK6&F=I7_dm96!Uy3|Y$6E5euLQ) zj24N=$-~SQMg!u^*2?qYtOhdAmVQi~pQJGoj8tG4y_%S3ymU^#O?I?tNuzzbm=9M6 z#HZw%*uxqwlw|;1d`7g*I38_nAE7?GABYq!@dzBdI7HE}rVYV2O_=cc?DP!z;*Et> zMb`U+T!_g%=|Q{4n1&vzbNajD_?utnGY-ObS|E$MADX|I zK7&(^-XL!K6E!dK_Qj7y{S;l!kDoaywN4SXyMF6zw!=(6!~8~>C|fEW;mYOq zUNmsm{Wg&)SWDaW+2e;bBOP5yfyBsIs^-o91yd-y=sj6!5=brh5k zzyccYI}!~F6pLL!x}1sGrgycF71Gu-;l+=C7eNAOekbU>f?h`p{-Hqe^sLO{Ju?2$ zRF$#d_%Gi5EX{~h3Jm=Q$?uIx)+mSn!L}wLVf^<6MmLY@WucP2w3Ry~EeB0>bY$?G z!%eu^Pb|&XM_v3VZ?+yg7abj8TS{bW)&QY_5&!uoR&#i4L|Ak_0%`^A76mg(83Eog zF&2rOm3vq`M^FcQujoeGc8p-bZXzOm%(cyUcN6|?WsZ8!t%v8QT|cwJuDH^W`@L~{ zCpBZAv>U_CH!cXCXW1 zxlkh(oUyn8LmAL(D}RVDNBbBd`IvkbkBb~nwh!nWI2>*lBn3}f#dZ8=RU`L91o(uq z1Zl-RUT-BUsWThz);(I=y{SLGQjJu>tRHJ_5p>>%*cgVJtK;;4B%sf76M#0}{8eC= zr#kiO{`0UrY?80GfADo>GLcQXy9ik!mY|ZesCO$rPY$Gx5Q*n%OkXwh`4=Hb7|}YN z-ZK=Yqp(G71^E+O@6a!EI-3@)>kRnu>#V~YLd#D<7~Bo5D_q+&;3RUVB(LCw9FaL? z$;sj287=D#LMakTm(6=k8!FXzc#z!$I%bXQ@+GEWbu`8;?eGyFn%t zhQcYI2RDx`Ft(I>ZQVrYtG$!%-Y&Qn;X?+k)~CX7b1~Y+CX65P+b2BSoOraE$An*o zb2~KZXp6|v;4>E2e;43h8d}slyRrKbtM8e7C{fEs_#>b6ttyH>W#ZjumgK3+t#|#o z^vH{G_IZ=V9RxJ!w|#f4`OBWY-tW(i0qTHuD$2Xx zBS3%Rr9l-qd-8zb(GMNb@%zkmAC{yLGg>Qg1e`KCqiQs($V3DJpjB^@+>f)DW3l~v z55YaK*Y1mgWLTuZd%FQXo*H|-$A9ZU0PNaq%dRYk>ZORLP#U`G{x@(uOp#%=PpoaJ z)&Z2PQBKr#m1L}K@>8Sf)e(Gi2G}s#q}?Re^6JBkd|h9q`L3s_K%X^blo2){ zAX(#t$tO_J&75Y6AV6fO&uIaJx3R~lj=VaM{N*+C592L3M|TkEz?sk>^?=p;cegVc z(1_859?PL@VI^vK*J)W{Motc^->%iJi!W`wvQMI!55vwm+ zLiY{Q&+WVim&%HCt2?1Pb&Yc08mULux^Y(BgV`_Oa}p#Z_K;b|ewu906O%e0OvzEr zekyLIzlNIeJ@;3U>baT4(*iT^&$MSV{-I2g&hI>P)w*KN-c8~j=zeIl$Vy~fb2wIw zX^)C$cV3x0u{{88H^*xbc;oL>!|Z;@2U!(R+JTfzh1muRH^?=qIX8$f-+*pdeHv1jK5kIXTddI+A zisA-Br9p|x7>aP>1M3%dkWk;x?G7EOudBxbKOIl@TKu@Xb}i44`#$pro|t@Kf^cA& zN?#M|NDYa4@g7I|IhXM(8-9n8dljvDf#?+WC-seOyQdl7yko!O69Emw;AeQ#SZ4&1 zZ5TX$)f{2!z?x{DA518bUkTvZCh5jcwaa-sJZ9kmvNNKW_|B3|_{9EGCuKRo@$?1- zP>?LFKB&jFuj3igBTwK;&xav5e0m{U1fUmL`s<~HEQhR#S_%C%ZRCbj|MB?KRq0jK zdY{ML+TXNm7Zl_WKLBH%txb?&O{}71%Tm_{(`aa4yFpc^Y@=b5XW63wvxtDR-7Lj{ zXqI{w_g4bmH^xxjlW;f-c#hPsAX?jfpW2ee&_>`eO{B3!ZNQ%lquxNA-T1vdI#-K&LXc*=x`bzx>BeBvCt}cZP%UP91YNrqfB6SN)raTmwC+L7@9}uCLWa8ZUBpR z^0ExdG?40@?{@Q;A_Pv&m0JpqODg*j+J2`=B4lszgVV@AD)$;7hmrLbCGg|+o~s4v zg0x&oKg8FxJ=d$#!LjNui=ry&XjgIjhmiA>qfLt1^yNtZqu#j9U#n=!er7vcpSZzq zn$^X=Yhhxv+`GSFmV*Hk{2F}&71B_GNH}yduV7A7ojPzN6|zKGt=s1WA0D%E`C(UaIPk1lWov3^E^Jr*2X`N85LOS=X%WPw&zD!M=k>+ zjanJJ7eW47{W&%Mi0WW*$k!qC&t<7i@_o2nJe>HTD$q``I$isxx3yyb`4u%=-=L3Z z*B4KdRxU2fZ8KV@eSo=vp(f@?lQ%%fC=QIiK%lnz0;8@%88{2|u=*nNQKCjf$3%+X z=211fUDe);*7}&|AY*WwZ^ISLesHzb-K>(4Yvk7w8`^&*Nx0Hpx#3_=4(cMP49t;n zDxC|aRvtm^M4J4a4?P_n&}PtHlXh9PR|40#c~y<~QncA1NY#v%b$g&689`Xq4{b(X zA1+;8e%^j1Lj~vr7iNqQh=}>yGq%$7%to?eA)l>vnS~6BWW9yep3al3QR%=#4EJu535Aw4;)l{ zfd$M3yO$=Vv;r7e>}i0>M!`AC#TZ9IPo*a>pf1(+h@HP^T3x%QMa(RG(ZZ=*s-cr$ zKsq6%s)zEPLndGH=FtIDhyh$$XttBh! z6vE2IC!4ydj=P4|S?3(g*3|p@g6b+%$3r?i^E8<7$bNve(uvv*nA&AE5KKeR!4zrL zt36B)o;dEU=EE{|%@tH01-~<$;vZ5`U3=}D9EiF;!R8lalQ0SmN>Q=w|GO$N@ z=}{zxl^-MXTo3qB<0Hqj6-(f_?{FHkQH<+rB>0wbt>5HtKlFvE<3YLNIY>+>O|TuZ zOZ4CwC7pk>9WzL2ORDBya`WlBP})Ypg?xXbKQ9$F4jf4(>AZD)c{e)m3Udy|Na_k-gt=hTv}iv@EV+_DDKo921FgnmS;SrZuBgm1m|&}Jmi zY$E%2*OQmFQoI%hHjq~r(RVVWTuFJYK18K#5(!LxGqMfu-((#QAfG6ex{@Y^z+u>N zaE8rkYp6?$`RYI9eSj|qw&2aUk+o{GJ4)lcx759r-6QMFR{D=7VOFOkS4?z_&UzWw zEi*S57Ut1Et8JQ|m9o3HlC^<`!A3(J<>&584d6@+xP8>gmo6;sNEC5ky$V{LoR>q3 z*mKVBK~X3ddCy=eG2*I`3O?kYNw$s{Y{F$uFAa{l1R%Sz89@^WwA{NG`3uJE4yMxT zp%?{!7l?MEwpj8MXYs6$lQZ|r(!M{xjqRkdq7~EYPpPz&m6e1e@s=z9djS`E#gm@Z zv~3g6@Elrm&Mcd(KvWH_(C*~Z6vOc?m^07viu06Y+pbETY~2Eg?%QnPT0y)^WG0L& zEgC65ys>F2u3guBcwW7?Jko*W79(~s5ca#kY;*nP-u-r#+icN##l$O10h8XtZx=e7 zJ~4|p`;Z6wy4rS$547@pbOOg$$lAeAJC3qZT_F*lhsq!kZ8pXC2D7|`po>k5UqWcc z*!qVGoOxHptJdjOOnTj=4WG4;h!E$>|4&uYh5zl>jJpUuj%Iktb;tf6@zl{#pcNVy$|lfXD7ymX zE*hFxrJse;{sh^~qs&he|4>#^j{VD{a!#8uCZjcI{ir2%pnA?S7i&Q!7Ch_Glp+U@ z>DVzA(we-`CW;3%#eQy07o}#0-KO>!d>xG6A~Q2KN}!9p2h=Y=_4e zPMdV-X>c9aO2|c|&)Y;6;~C{Q=0W{asTM^VCX&CP-&K--QkPboa8IPkT}T^*{gU!L zkcrq6SGoKLEI%qat_R|UYj7`?4S`)FKsk%o!8CeNlvL?PdM!kKIV~Qub_~{%ToAmq znMj_J4pSqjZdAOeAU%li+WT@L?jb9bDh+=Zh0Z*SyVt0AtbB|=khPR6yuaLak;N#f8!_=6|sE?(tCO|KIpXW!nxq zZKuU-5w-&rn-p`|k4jdWj@yAus3?a?h{4Qdx7}3AEH)}JI;yQqh(VgEMMGi~nH;AK z#uyAUX2u+@Yk#lV`}4c+@89?D_s>2ayUUpCy5868_&f~2zYFCo1xW5SLsfmS#DIG$ z_(DLegao~tk7)aeM&U%GqgMc$9Sdl;1?K6yO&1==HBFYs>`H}<36sSFCv31vEK0w-RWa)JsW;0XDE=>05E=^-bmz1szY}aSH7&H1cbFv8Rk|ZTjZ$ivrRROp~x=qC@pf}rwzcOXtDfu4o@m;R*P44O(QJw4s5s5?@sXSlMG7) zh9comLNv@Ku2RA}L1G^S>L26*8Q+-CPs1JK2rm<&y<)jxG}}}S7h1DC^;lv@x1LD` zuh**bxZj`l1JvyP0Cj>z#(C67Qjb{|j$S-}EREsZRyqWe&EpnFh_c z3i=C2);q>?lLOp$q!!1H6E_b7%#0K72EZ+y#z5mYTzNLN(F&NcCGR8!a+t(Hudq)i zR)Be|b6r-`IFxvfo|@*@LW4>#`uWw0E^*z|2%;{t_;3)h!l;6PrZbhVUQ6G2@19|M9JTeyJE3>P z5@D^N?2H6DmCc#gHnAH9){ACH%5>$}LoP=fMr}54fw^&FCYa+CxXK|{|F&DZr z&=UvkJr|!0q!6*#ZK5CivZK1zVI`~X=7O*rHN)$HSXpL-de19c$6ut|Za1DWG0sP8UB$ko3C zO>$OGlCcKHW)rpt=NfJxk|*4qo8U~Kkri*~MT3C9fid|6Uov5RpK!SHD(-Xjg1k|wtInKOV?b}^bq`Ld zs$cX*(UkDcc4!*kV3<%9slal5-Bix{dyjGES4>Sn%-@cxu^-{&#v#&8n~=z1@7K81 zbAtNnmv!(?uHgv}qYdUTAk$6olm5t`w?=f5tooZcLD>S<6!69j@}R!<){>=@qp;ro z;l=@*w1L%N8(avD%{?Ic0Y#u?iAFAf+mY4tWkC{v7&*IXE$IE%R0JNSSY83G5oDCY zZUEFiE!*axU@=IYIF}0GW7w09x?M5fNi3jxf@Rvb6&kyaq=!`x3#2eNur{(C z-+PZtNIxVyKMhm{mA%Ns_7{MiDwLWO=73rFlvj)IrX4O)m^)aTV4C)0%27KwNbF+v z)F|9^$uV<}qKy8deJ<%fYg;L@DnOZoI^`g651}EvPe@pF-u8a@AN30}L|uHxOq^H8 zDN>MLhY85fCSVMjXK&j1JTbNIoR4Mc$JT=ZUYX9KlSSqFt;A#cqwIFlYdrTj$aj}!uXZ$?OpWcM-${h!4EEQk?3@!+N6iEfksJ{Yuh-A* zT;Z3rWBmRv*>6kF51(nA_Jr6``P=mB;mQK~W(ZrCILKj_GUi*AEaT@1Gyo($oj?*IF8iZlw5K1reh_KhO&>a<#H6g3#%jn z1kvwa`1!CWuYYPs3(%VK&pL~~Wd!AxN6Y={?=v-LYeDD)MIfFtd6SSsvmLb;&LXC) z>!$A37y4~7y4NN>N}3E*R+N*_Pe?Z(O8z96!xdOW)3ba%n^Lhw)**UUsX6IiLW~?| zm9#=r;4wSQl_RjoPT%GzA4nO=wj!q+_w$2U_SR#isp?u z2=jrzqfg;WeF7-e&g-c3)we%I6Y&>K=LL!+Bl|#EPM=2biCyOB(*ATb;>5fLH&Jj3 zPO^j8q}JnsqPpNUCSkrGe(((%7-(whIGmE>wh?w^Vl^?;U7Qdn}1}P#ykEvW_5lx z_eMn6snbEq+pLjA98m{n(b2+kP;za$J!JO9!}86ezgDtx`>)?8g)e4tF{lJXU{LNb z8jkpb{D!HOa`(-Cu3)tfq{F17>&KLMH&hPXm*~LKmaD`To91atz9fcG9X3S-fe_>8;CzJReJ#G2VOG$_WUcEBJvmYR3Zm(WFss zr*QZ?X$P}4`n`v}cjRE+iNAvzO1Ut2l)g!%jW8OpN3oO4fT+Ar$G$EO@LZg$zH}!Q zqu*-rHTx7h^Ws|g3H9S$(ey;vww!bFu)y!rBP^P`{QWyVZF30BsmD|`MCm~_=N#|2 zej0vPJ&LruYy0fYoE}czTF=k8;7CSeY%&UtD#!pFXX?sNHiW?`sFOZ=U`y(8{2hs&(?Lq!vV zZ-t8UKK(Ja8aA2^FqWp0lJk5Cv2B&tiW_J1I>A8!>KH*RJxZUt2c|uy9QF2s+?_F! zTf3(}KlpRpEU;AlfDe6j@}}d&2%;fMU9u_1OBWr9)li0;L@6thH-FWxREH&A2PZh% zZY?tOT?GsD)9Ygc6APjR8eZ|1Mfo$!io>^NY|p+}@D8Wt0L$Cm%Rmnq5eh|t_&egb zU4(^x_q5JKd2LIA7O&r?|Fryqf+{kq%*CqxVYOOVjhW%EJF_zZdjF6oi(GpLrZzia zMhcJ&oWSYiiTT3ug@lhKTW@yaM}e&4cB7zj@mznj0Jg#%Pzj5oljvl_Pq1zJP@@)| z%4&gIeE>RLN!O22>f7*|TUE`R19$Md*CYHX$;-+dop8nXC)4cne_aBq@99u}-9JLl zHn9BjE}QJ??Y0_FjxZ%Y{p4BCs;50!yr2t+*&Or)-XQpd4leyjmUt|TTpQTlKb&QM z|E7*whCY0=7L~M=%7und(?xo3AN{7Jx)Yai`vS$bfop1}bzNyusowW#K_{?=oW=-@jJn=WAeqA zX5X0A%V_oWpsY4O_U5Kg8ixyUKHDenZYCb}(ZlWMFL!e^dE^`*8$cas1-0n`)u5LI zgzPt_G?k?xr3{TArKL^@foziw7JyNID;l{6OBGe3E!Z|;d%h0%4bKJK(0)j~+d;gX ztJthn^T-oxa4VP?d}Vt7f=_5th3!S{S?xNg1Ra#(OxdeeucU;$d*7MfZLhGY%7NSd zz&(j+ol2%o$QyXao)ET4XifUHNiBML7a)Ja@JpxT#S?BJHkS#f>oTdC=qSX@EXueX z!aWjj*PsT?UGH*maDDHyC?o~jj=skm;BGw8B{Dn-&!(;!Y-VM^Xj0?EfE8^LQ2^Je zOMmlu#+nC;IR4Zbsm)V@%1hJ14`U|gcrp(By^ue zn$u9LilzBqJ4VeCjgMv2#_BIU0Q)?_NSHu8A?1Lldt=BC4OLnA!S)m4`VtoCkV<8@ z^>Mx2b{O*5Kk+*W#(Je#tC|J_Hxj^ICe7U|@k8GxFFyrlOx{*o9+4XG2OvLpw^P|^ zFcZJ`u>7Hlaj+@qbuYDxHWv!3fU+E>5v+XZT>McnC;ommwsXuJX1EA70Ow_IBe02G z-qt>clipKjiF5}-8JdC?_c`8glNWgZspuoGep{+|pyW0{9WlY4RF%Hq?@E|&lr|x+ zuRNU?{@x6c9*q`uvH&LOt6AprC-5?0cia@Y7N)c;aslG6n7*ltQ1%ST zw1HOyL=?xtA;1rcBX+P*Vd?bdvpIEg%lMIh2w%<>g*^1*8Gh=m{Po)g*8=5JTmU}0 zak1)M&hj$MY*&1~d5e7v**wXAEX81Jwcw_s%iCYW>Z0*Gy@`|wt{1$>P$SfE@?j9K z9Y`j*Pd*)MoALDNJq~%*p3^7)ZS~?E;cfis`9~l`Lpc$ia4MJk@{_6fWwdu?3mlS? z(fO2(_64k_oBygw95ts(I{%3Fu;@DXG=jH!0J>-e+KRFbc7{o$>rojmBW zBM5A~mOxqR{k(Jp1FOra8>nUNHmnm_hf+wswLqr)7yRTYlY>~)>xCwPmz|-=U5oZ} za?Lvm;7A#C6G#A`^OA5dECvLJ`uGF2AE?h!w%*Is8uv#j)iCo6i%es^Kwbii)+xF# z;mUF7>S(Xm5VjY;sJ7Cgv3gm(@wCHsTq^6*Gh5b}9KH6Q#MeIxdY(GMs#K4Be36L0 zB9A41yXOnp@oiSy_gkHg8OI4Q30!OVZcc_fmwX)$-?I(sU#^z{9()6PPYX*P@&M=; zJKk5i+^}c^T&h{F@klT!6YT3^gR0Ki#Q7|G8!{q3MAm+BG#F#XV;@TKG08YznC>y_ z_gqVxt5xku<+c~*{Tntyh=X0h>3oiGA)zkfW6Lj&IW{~+N0jGH3`xM?&o}-~JD~;qnKSalbbD|H}5;fAo4)j<=iXl6I zXbr4!CB5d>1qBKXNPW29^Add*e@_9`#Fi!ud&yTWl@6loo|_!`LDUD5{oOtiMz6pq zvH)HXloyzLVsEmgH4S;O2?uZUOzo zYlLsOpRXdZ16o7{n^0(F290hj0PntfciZnI!9ef#N!L#rpQ{#ES0%=%CsvuPC>g%F zg$9Cix-U4OD%v;0AO~N%d-{`Ts<#bVyv>p2I10kG1VINqN=G+8O{lP|6Aeli8=j@q z>u0n7Ap}qK;YXKD@xG6)GzeBvx_^YXNB~5%aa9Y)O{IAS`^-(9*v@p{#iMuhA-Rr* zB>FA!Nc{6|%nt^tZ<^oAqaqcx{k|X@N;P_bka%H|u}%Jx?`zCEYl9%SMX zQR>mW$8E_gJ4=q|80zkTQ(IpYc)+OmI&%YRp=1f}6J{%i(-0TXBDT|rcpR(kBuFTH zx=|bY2WrNE>w-pc6Cx#+BZ5M77syQi#orJCZC)nK2hGu94NhULNG5)5=s8a2=k$B_ z^q6ZCVCljy&`wXbdhC*?)|ju^Tf5LIsmH5d?N8)S(%pRt&ecxx46mDhp+)*UE}7Lb z%sXYlKvO(D=4$gU^>^M zPLezqKQlebxgzaP*tj$5Il zZcL-E=&oBK(oV2koc@efm8oa1Zh&io;nAg60yeoR*}8jyT#2;tT{6wc);JdxkX}BV za^k{b+PzFjntl>rb03(aLmlgL61lA*jKjh@Yr0u`i z=PmJB%gJ`*k_}b#J46nHqy4XB~p^+XW&;r~|=(lYTLJr(s2Z*7t#m z5LuKPQK5Fw)5~hql1~{k@~5VGr@!074aySMD<>t`0&KppfLOTcb9DKXpOsZPVeu`P zeWROGwKK4hVQxF#kLBV-mji?+caCFS-2HoN!IRjFbpwvtCb4!pA!$9X*JSuO>aH}l zu(XLP%^=EpN2ogyf;ypcQbQj;F!NBvI0PB)d9dj#U;{=xmnT@E4VwpZ)fiMF9v(yQ zo)i`+B-{<5rk*ib?=omn+rajastv^Nj;J}ua&C`EN3Prg`AW?KcR`24$<(*08dB0f z1fGC}qgI`?HH5kj@7sz# z3{Opa$x8(R9Z$(ld4K)7n-D6@;h+#@d~$8FZ3lDK`-@2r@258AXo$eBWJJTvYH4rs zat=rPrTpsXy)1Z@mm3QMsCcP-wxra9xI9tN4NwB`uyY>6?##4MSAM3aEQOY55ER$5 z56<_Eh)^~-=FC$9xRGgBXW+i{DsmeoWWVd2sYNR<+gGuCm{4!EjH#_|fgVV%%dI-j zeCYU4A&pY5tT9XDPi(S0112>iJ!AC?)3rZO4^0|YISl{|*`wYoDZwKr6dcL_l zNu&bBizr!|NWeTzh-@vZyy*%?6&UdzF$CjBb_M4_I|_)3jip}toqjMmWr6|&xev?N zM`1KMvzKsqQUCIrUA!FqLpLc;3Ke_#x-HQ|ycz;G$bUFvyQ2TaCQ{s}87SBbM~-52 zj1eA`Z1KUrlScBpsPom!`%kZpn&@X1(xxX{XKgv2(*V=4#p$z1JC^`ob0V_x*15qQ z(w1-ir<_{0SAr;xj=*X*V7AP}meI}HFlG)XU;xZt|{@}Vk`$_h>YH-zc~&^h=kXw@BW4l3au z9_NNj3}Z;$AOOcuegl>U5*aW2J)+V80yZo<4jIh%vswm{hf7b!UhdgyTm;g76hO9R z5@E`v^;k*`8`yTkd=w~#Efsoq_C`@6^7t&xqS^F5)pn7hxfWy)8Sw7lJgMP4!Pl~u z)BYd>+32{sP66aL-iQ_JlpPXamfxE^|7YJ{Hx0m-Ek~kV3`rp)l;*@}kQHUy?5@dr z4|RzBKLolSOwJ{c)=0Ntd}SpFKX#e0@!e2fP&5n+XYqJ=6+LQreMYG1Kg~E$nbA?h zdpL2o`p{p+h4v;q&1mwn{~FIN|9`1x^XYEE#d!yZfG*x z*-5HGVFhqlr&J_wNdE5@$nxJ6-v6;xG_gfGp&!vGl5K$IXiY@+v^_pUIPGR!#@mICkLL06V6I6VWmRjNO><5fLD+30 z!X;Q@vnfOVXg+R%vYMNxT);`ju`rP8CMb{axn}m}6EYcY0e8jfPr{!B(I`9|f#Dy5 z6U$SRY|+>SKU`oc;#f`otFn2PnY&Kpj|M`gr;;>DU zD-5>Bi)hC;6uAXxxiZV|bPlFTc=fQPGKp`+F09c9u*IBnWMJrgSMrz2N(n=DKl9M^u(7UPm8 zh`=D&rm|DM%Ad0I%i+v-@l}u6s=t>Y*<5cy%# zeiQByhe?CHv=-`Fpr^fwLsdt71oR8iH+8-)ui^lo0ihUeCp|rtDFf!ZO#Nu>N871?bGUygaC#B;|k&xXYO?z(QoU!s& z&k3M<)m6#MXiLlMOXam1<&p_}6`}A$II+s-iO=HEvs=d1T(L!*wq(R8TXMAov6F8t z5v(^hC)g$%-9kdO4X+~21#3M>fwkjy2Q$pQ4-n+H&{u%4y%e}-+SAudm1s1SXAS6plc?MP zZmiz@m3F#8P`S=q`XEI!DKJ!?G1E?bwl}3PCKNs2qwkZ_JL_Q3N0IV(Hk&>;xUt^m zlDt4-Cb7#FsN7^95hQG#n91FMt6U*{?XA@#}#0FpeU=`ar(GRX_OlK^pGL{5_ zWk;l)a@5^STT9rczGOkmF%n(zU0ymI6+_x5-5txH>7(zXxir8Q z81}63%6DLAC{hrCMz`sP!#Qu_wRxARkP8HSBP2nSNmZln;#?wXi~(x`!drh{{1ieV>*oNcWiCl|EdR4$EGMB|F_oqA?ebZv=NsT-FlM!N}3W%M5>>y$4Gae@I@t#kzV{ zy0&Nko*%ED9GR#iHX#0A6Cx^n3KRyGR_^QsZiaLHqhV>R1ta6_IoP)_!oA>VOVtO0 zjuH<$1n$S+v3U>^T+_>Kmz;zLl!)r|5>`X!1N$jYu5N5i+o%9Ws;%-ijB2S`M`|R! zL`m@db_ERy1z-Z7qK!MxZa=fZTp~^X^^l2rh`GUgS*>G^#XkgY4xXcD(48h+K?CB% z)~(u=S*s}`TF;Ldzk-k4wkm(K#H4LlrmqNah2{M{Xj6@Q1>GDJON!b3^^18Mz3gjU6j8DA?<93w{lYyyeYAFD$n6S<-HBia8xH#Gr-(uI>d-2-Dqt5x z(+Os=F}M%|x>VLzc26(8rP=syTuVA$43d)Ox=Y#-5iwinnm=3Sw?8MO-Z2|wm74;= zpbm;%SqmZ+R%i^#T93_*Ya?!Z-vvD(kezAo`41|D?%<=)^b_yXV{R zdz?Mn%yVfH^zN&eNux_)`Y)<_!^M2_+uU#C$$pcm(F3Q{A8PMQqYnK;_}lxDuX}6H zwpV&OyFKD+8`?rPRP##AKBE^+HJ)lGEPH}H-@UAeHXG0W-0d(l14eID*e8A2P_B3E zcsfl;e%5}-0u6;3onN_YErB5k2sk|HkZ} zGQk(&>10M2-YzOFNMS6Q{13qR#;5k|FWVsU%pX*UXgdBy!;gs0e&7@OV4N<%rZ_W5 z;paU7EmX_C5@0h~+S^TiW3{IBzLGj{zW({mH$pv$UspNMCLHF$66ilgt>G_WO!3mg z%IA2Cji|%wcoC(x&(|f_jD@Fzkz5pO+~Bw6&neZ;!ZbBXz1;SFP@ZNaJCj8+NAQ5c z-`SmLOJb}6#%cR<}mfJ7L88D^;gXSHrl`^YIxk?ay$xx2C zuuhVly%&PV1lOJF`#%$U!=+Q>5x;D}T>@nNzEtk#wm*Z?UKV z>H(%)8zaV%QY&7JQV1ux_UXq)iQo+G+X`MxFgVQ-fUa$OghK=kOfZ;i7|0wdZyAX3 zc4=G~aPX5s3IpFAd7rycezy<^ETeWU(z4`lf2eG5>hjZa!{bwiQAKrup%Rl%D)i=T z_p_Vrr*2ryjij!;jBvCId_v6IQL%W0B1KQgVIBNjA0sYY0^2sz;%ibem$zWS=;}FqZubl4oi8;@#)vp0oeh($oIO;$uFU%Ux>>XpAKeAAEAN# zZ|+e}D^NQ2NFtDQU^hPuwJFW^SQRkeCX*tCB=>m9-nb0OfvoQzV1iK|3^rblY>9O* zmu2B|=WHZjA}x;()JGOQX^7TeDl|aF`vF=yoS~pu8;K*%5%`Aqp}!@*nV?tH3 z2oDlN%2}oC_NY9kG%xNMd(%PURJ`qG&#kO^Lzlu({ory)#jd}~M$prxFYxANmx_yk z70m00r8y(%hspjs@dF*ilA-lS>c7`ph@@>TV1xx#eE$bILIt=twwS=^EckW-o|C&p2dvqh#rJyRI@Yoc?GYgtLLp=`FO4G2 zz%U+_?dG;J_^4Vmf(*+aLK7XvSBI39WwhV9sC~8#zgyP=%wYD!i>GUny0<`QxST0R zzna#Wnn<(p=Q{BN2CS*yRkrlFKIv^As9kGV{72*B4qlWy)9?bV za|;!io6av_oB-7QL9`!45egF%=yPV|Pp_R-mq~|5lGqR044CRoh&%VKIozy7dc3m< zrQx@wcdw2FDegcipwmWsENfWh|Mz$oZI6%IhpBQ|vY-pTD4o7u zcdOrHgFNEs#`=(10sEssNlberJw3JOJR5L*0j|q`w?Z~MtTgcS9D_RFtdu`GdVK5U z?}I9p4~)$F9Vx?xBS&yEm2UUc^akgio#^2EZ437`&gvl>G$W#dX57q~P`q8*hu!W? z#k|tppmH6Ap%~P9sWBV80)c5yFt>4Np=H#9ZKyVw+J`=ri$v1ANs-5#G?(o=`YPdP zWAS_7Q2JD#7zf60lgVqgIW_7ZesEkRtV^v=(X=V?luha-8sPk{D0LAmqpkQ zeOK28RhB;EmcUcJq=KrWU+A(43E~3h``q0+5U?T6l--Ohx=t%J_-}oCplFW)~G#TU#qSo{h!fS%$A2uM!r^A zLm1U5-mZ}aN}=N|#vM<|_~b2>JUMhqXineOtNmHz)r~ioJ_Yq~I(l7F7(XR>xp&_F z9euly)(!^X$I9q5Biq#U_KocgG`ENSilV9A$N~YmTF4$tp6}HDj`c#Wmrts6QE{R% z1M>iAdU(+a-2j835^-5gMgfu>k-{Zr_e@GiMcmCEm(;iGqg^1nxS2DOV@G77P5ED) z$Z7Hk-3$^MyjGeJ7C~y>L?N$k0>*a7FTFI>PYnn^t99Cn^ruV`YjDd$Q{q1^I3ehC z6ZHsYbyop;Kqa2A#-~n?BOLI%#Np}4@{`&1%G<=jK8CA1IUn2pYQ|0S$|A0?5mfWm zB^zsJLjtUbn0ko%n|I1f{y=W@Z*!w4U@T>2#0AhXvjc>jMz2JcBX%%HLbK$dVd?7&`iQXPFO1^=j{$4>MIK{KJJSyRvPBOXyMN@FRGX3yj|~yLKR7&<`@B@j_d#} z__uyjR@vy7g@Z_aHFT3gbRz5>o_Cj(zkAwEVFG%)3b-~fu;KOdh>9UPH}?gwln%*l zmG?40S3~Rc58?Nw^*X%@2H+EC-8%86pe*|cURyPIr$V`yil+*M`f`B@?>CcT&yo{0 ztjd}^Z;(sqqGyjA5)y$Mvi#7O!w=G&GhzJ)N!Nvyl9LQP8iUR2UD8AGzV94AyzF26D^6Dsv@3ELv`$Tv#f*6eF^cI`!_ z{0F4p6roe7wl;^3Gx5Xtz$sq;XOPg=yO3KR(65_rJY;CgX^6jbnbKvvXMC_-^Y=67 z1NYh4WCMFNsbaa&lJfu*=5EZ%iQyRr_k^zrH@o9rHr6ovY4H%WuRFM?^r|N+!g;T@i{a!Qoto|n2xSg)k{5Q zZou{L(z(JlJY^?`g)|1_zH_Rq#PkUXnS}OlzO=b z$#&Rw*tKxj?u@&?cr3b+vDn*MkmIOh>8OTh=o(EYC;>-l_j>C&iqSg*OTe+M2QIx- z%xV#uA@-)nkB*K*KV}bHb9OOyR|AE06o0Ri6tp8>*w0qkcC5^NlWuWh0qT&YO%7nyk@~3i+=Y>%--(E(v z5zauR@M=fvwi_U1!l|pgtwO8X!AVkqe6ZuN6t5+sA=iZjXUDIp$|}}6L8rpf z%YY`DKU!#VHY`f*(%{p-t&brQl#1&r-Q%gvpuxi&OFp0^ZA<&U$PPvg{;+BtkrfCF z%FM=+U4>}-y{fWODDd{^S5K-#)=Hc3Lk<~!@s;a7u+ux4~IEIV0rggigZ`PhN&tkoVh=?4| z!Sf11HE9zVjFkygjGa9A&qo2a5Zyek4q%aUtnS)8oZ9^OZbAK;Vm_=IoU-6IjPSeTX=YdTg- z@V0QG^&J1Bqqj}igc+=i1Um}3@uk-hLYnLP;w{Wohflyj8-oGQF4$*;7h69kow!w& zcbpNk2~)jpfw#C-Imz%llDw>lJFfmSd#Un4GPw_B!vTsxt>rBsVpaIp2RLF`+?cr# z4$;!O!I3N`;1{nLxIzCK96>U5JOeoOY9fq^fhioKOpESsHuaO z63IeP3Y+P7(*B(*Q!|~o+HS-GVih}@#h^1Hw-GiU+Pzb-%+vguW2OW`%i!2o4yahj zV*@wHnGn2y{tx`bojiLt)fJ+F`p9*`yQIy>erXVx>pTb@MzgY=#hffALULRJw< zHqh#+QF_s8{5p*|Xh?{3kAC$^2T<_F5?XzKRgj~qdKfJSt4rd5yO$=EaOoiZ-C4V9 zHpL*np_PLkbX~Baq!W;t?;bAS(U(DSX;fP)1?U6Db#3yhrr@m#!L_)4Vs}vDT{ZAF zq)o_YYtGWQ$)Uc)Tyx##ZDIXKepK^B7)QW?K8gx1m`ZG9^7CWDf8Jfo4!b<|9fmC=43m_r#|N4a$+<67GCcmUFuOw?vIA(qz8m8$T zw?y-KyoNWQzYhVncukVBYwPtk3n@A}JrC>YZpZB;a z`U{Cmh4=URQV<|r4|#PNArTSid8(t8=GC{|dHe@UrmQtO51JUzGb#)bSVsRt$lp!) zpJsDYk1Y})1#H6%R8TNZ*q96tJ{~8&{r|N6*^-z51Trd>^5K7ejO+iR%54PO7Iz*6 z7kbR>#?OPn-Jr?kGdG}WC8Y?Paag1Nt66FFe>Q?s4~WuSC1ZwUK|lW`VFmsDB%C*b z3noB8_|>kn1p=0IY5BM7`!y2YWQa&qxR5~6AdWa+$81WThE@n*5QByt} z=`I2TCB;m~lrWzXHgUSHBx(#V7?$7wY;W?I=LXRbHWN`e<4?jW@erMtz1E=B@ZS=K z2pcsBr3=r+3y?pCLJ9jiyh*$-SSZjIm4bpubUjN5L~rx1AvSRbPmr$xx;RkzSACD> zR^6700Iz`TUSiTpuoYBy>L3%kY4S}D4fEN&&uGdmaVx_;)Z{PT2+(kJzcA4{Smj2$ zMB|KG=8P_YQ7wDN+wTy}iQUQ)k?w$exJs3{*9(kHbQuGS)Cz6d>kyo>|P2ai&TUMT> zH9&j+(}EI=I(l0Uw&q^!Ry`hLvSItx1y^X-vl}mj=3{T@>wm}2iA8@U|8UbWZ)Qr( zox@dw32~oi#ZB}v%xshGl=D#9vRXaQ8oJc%L}tJ(y(E1Ee`OkZ_Xa{^cAKl<`NHO@ zz(4qrG|&A^v?AI6(0kh*zpZP~gTne57#>t$?yhbRO|yfx@Fm+~nQ#~suM*&sQj}0) z4LGgj*7X{_LC@ny`MuGY)8s(1#h5(a@UHeo(v2#4DMM_)S;_fRTy2kzzrhTT3NC}a zC{HH85-f6+gWvGe<2(K#&`KI|8nFr7O9#4(8nvMnQftYEaCC#kr4!10V@uRZU%LTG zAD*+`;~VkKh(EN{{%vcjJk5<@LiVn5jPdx&vuT&CE0k4rBJ3b*R!@vbx)cZqQ^z)d_u=s2o^Q`2}2sa=mH45t(0W1@-ccbZu*Dt+16Dfn-l}xNxow95%1!q zCzNiP8Q=YCGVR&tGv=RkXr0&E^@3{jSFs6NKY=8b=?93%&(u+ zSHNFsU~LXX(H3xGXl0-UKM~G8mZR&D#DzSb0>B!q3E8cLIqnJerXRmxavfVcVvd4_ za0|OIs+Qnm*@{+VxBwu_G4n>g60bEz0aMdLs5jF+=5(a7WKnAiSbdEyqvlH7Q|Sh{ zgcV!-w=1*<_b_y8XcpLG&{U8$v@jX#J!V%%G^y3HHQfCa6(2gyPEo&6PoQXltpH>< z+1iL%EeW`tu%**(O7geMhU2Y2C4J&SJlq9?R!E%z+=_)JKY!Vm;9X1s_rzyVl|vU5 zin-GT?$ZH*wluRoWdwYRl?M411G?*$9-5mh-@Lf2@gwl9-EU)96^$Kl9PF1l>-krGYND4(pdS%$^^Z05bPvb-@b8&9}N_NhGU{>WHEZ1beIf%d& z7EtxGp5eOH?2Yz_(5m?e=8h#EPygugt<5R*^P%h6V`6;M&55Q9NwN(|tZ1Ge}49e*u4R3$Ph zi-C)ZSSR@;o@HWw<7EI@^)vS%7Dt?rhKaP%e6y>sW*>IBvveD1IpVu7@cRJ zpOfP5b7&?WtLq9cMf6vdr{aDztsVi`)d%62>{TH6T^~AeDp!0Zh_aDJT@HU)2>B~} zXQG5{sWf~yw{ti}ld~er2h?iT5Vg+ck-OG&x;TVp(<&nxBid1(1kiV(kw7xY<-Uv; zBsH5<4xCECHrLo1>x&XRk9#XdlIbxu{oR+ERL2`(i{%FS2KXfc^Kao&X6I@6~bm<2iFhof9_ z^?HT__pVOTxg~VU_FoKrnIORk^)pcFK4Xkr-WtQJxzDKsp0?VgPgj}7P_+Z@$~LKx z&B%Rd`k!4^)J*Jv5Z_6E7$oB%KLUf;|3a^q@~)novyd``%EUP1g$kOulJ_2K{oY)8 z??)3!*ZWYN$9jAr9V{kZvb&{TXd>OXFS4wH!^9lyt1fzhW^Whh=<9w)_M~;4Ox}ES zu@6s39d>gJvCCciu@!3K+ntvR?Zo)eM3!!b%HXQ?K+ZuT;ZT19R|s`Hwj7);%Y{V$m%&UCBS?fxvaVx)V9`adud)ofD*25 z$Hye-C`w1*_*c;TFses}Up0IhNn#>R zEPSQ13$EB_sa)P!ZkxQw`)L_tuy$ebwrPFM@QJ|9fZsieDqg6}zI!-T@lzI0=GJ*Q z>64otDbcF`okTKy3JWlo&a~W3`LpygXBTO|M&Wj&D)k}qfz-g)*)7pWB7K&Idgym% z0^Ym)!fJMpwnW=ZztfBAR8nk=EVX{Ceg6yH1F~dsuG>nZv_rN(N=XW5E^TF?L^(ktEbCFNjX*cPE^MJA*mpwKHx%l=&DuIFQ zUcMsPqAe1}6wqk?lr6|2ZW%dfg;HVfSUQL$D#4TGuJ$BHdB-Tk9CE@8_GS75DR3SH zM#a3wADUDdy`fc)%k!~U=j(vMT|JzQDEiY&Lt^A1z>9be0l=g4eM2fIHjvElVBE0onooZwBWHd+G_?AIg5 z#Mtet`NS+M`|-Ayy*>??=l<5n!rn?ulj|Z^Mj5Sg1eS@>+GEXT8?7s<62l@UQyYtJ zp1OS=BaSS9D8erISRCI-IPH5+^uq1jxwySRlTPnLA1SrZRe*aT_|e6)ANbgwin9w65FUq`7fp zO)#yA$#qTZMPo&k%1xu=OC&-C=C_t~JR6R9^h)SxBn z$d<18=Ecu*Qc%0OBKU$nQ*E1;xalteu{{GKZ~^lfRwaVkcfE(@1#rfQm|c@?6&cCp zJA*<3%pKhUoJ4mgV@l?A)1cM+w}MoWtnoa&m3v?x2NCf(5~epZl#4}$1Y(WJ%9l5_ zJ^tu1z<`EKb)sj(VF`h(S_Y&rekZq!%IjPDaL9c;%{71K)zjGRz|8RyPLwd)8hlHvdkyqkq>M^M`0mM;;bkgE;U#!BU#=kTRwQN~s7uOS&!kK1*co|&3Km!y$bktZnNxe4z-3;w`I{AwUT z(Q{P>;FP>LbYuDDCS>FHXjGqe9c|H=AG|~kWjtv$Hgk-`av<%V^|--hN79S<6RC~* zA8(p#<3Z#UZd(NMNDv+>={)aY71f(-rvLf1xO|79ozdM_z0p=b8xpoc75nO6fv)^G zgSUXVbGKP9Yvk(KHD~j=4~nQ^u>;-X2$tjrK~U7bO}L9I;Z-Il*&a5GjNjvp%YaaZ zy@|Bbu^1vsPICU7MQjOjeZaoz(ZH`%q{YagR0dxO)`Ci*O>;p8bo5@};*scV6{p+A zH@u7!a6leop*RQ4gw<3J-iJ2KM7vOdkjiJC*}Qw|2U6YK0Gr}o3Q~7L3@@Wh!jw(M z<$rbe#{7P8u*QUjGUYhV6Xl8U+gEm*ibMB7d$SQr0P|a}9F4wO`dVjV_-=vo_pm6Y z>%mCM7X~v80s};bJ7_*6Dk9F=)JQmZ%8li!2C6cega~nbW+6xgOEoVizZ{yfX?smJ ze#Cn~;F1Y&r3L662~NWA_m`=(7~ydu>^3sHum&Vv&871Nsqo@aF(-~o@$VX*sPh7y!v^hbbXctel17O znnb+DQw)wK?b&zu z63qCOBd$6#!eIl^*9bE$VhD?!bf`TT>)~A`oZ?%Yi^9iyvo!(XMzvfo$T&s@pR5HI zk1z)Rxje1iil{2`0^c94h^GXTzEL3u8mO?9p(dHMrbk9g#2v8utW((KK@N(SPD+Ge zfkoV5STyEyEG?^V9r@uSmm>gLg}py$EdAcQm3O({bM^LLw<{%|#V=lE>S4JsPw zm>X!;2}RzvWpp)5P0>z3#HomJN4j07d60Z2Z-4%jv^Cphng7qvx{oxt_pNX&{$xzT zN?D6GQWtm3JbQFaPg7V<;xDm*iw$Mj!yC($0z-oN#FIqa@{P-GGuwAeyyPtiL&Ie< zQ`5wjTQp+a^bh+fHS0$z$X)mlMb&fAiVpR{xCE0oGiX{5n~ePjFKmgq?AQax(JEdR zCzZj#q=R77UZM%uU)Ogo35ReCFM5of++V8)c+krM%7!R@TAh8gE zW_4otWwW5^1BpIPbl1sqTG2#OUEIE6c3b3n^WIB_o3Eb zuZ>#I!recEqHzwT*Hyp^V1ygMOS&9=4mA$&!MKp1#$-~+P_Eq`^Xe8wWa$xbA+S{h z%VJ?eWIZ7fEhMzB4Y14$ZtMqv%K?iC>FKk)I@CRX{*%8he(<*0^V8G?w0T5ZT1q>k zA?-X5X-qjlNIHE{uB-v~1QD(I7)%HX?(jKoSakYx!asz)QmeWL(C8Xq&;TW{TQoDE zW}RuFLshmygAdt5`DS&z&;3M+{4Xn2a9 zA3bcY<~juQIuS>!CIc^olDZ|VT_U|>Ys|4}r58FS*u>s}?*}jyj}-;+hjY|?0BSI2 zlldK;Hf=l^nvgX5tGR8j2q%FbDnIYMun^K2+Op+Q^umC+(eS7Fobv`UJUGI-LsO=w zclU^!Qb+dGLf_5jk+lggDm5>Q1cu+Zlxl+gw3Eku)8))Y(9pN&@#=6$0x)-CW#2Da ziF+BeVFL=rR?bbz>S6AFJO&>49$3(`x>aK4D|GI(*mf>aE1Qd>z?AV~VrFHoGLL!B z+v*K_YtSfj`BkA6YBXWGbIe?lht0^JaU*c+u9fgY9|nMD1gw0~U7sDxr5@k(Qe9g{ zU@fm^+XN4b%BSKyR{v$NO)3&L(7bZOZWzO=SR|V;AfO{tRMMb-5r5_ctRSF2*c=0f zNVU;Qf(?A&8m%(;a(uK90y<|WTZvql{@KirUv#28y;qExW2k|X*V%GQJ)yD$v!Rpp zypvF2v7IolcK${5n@#VTL_+`rd6Vn72Al{K-kyVq{~Lejpfp3JY?)M zME`GW$qo=DF23%=#YCOYr1BT$J^YiVCiiXY%LMSc4yESG54$ zWO$h(fii59)WbZDm`5zBVuS;V?oR+@VgCS3=VYyi3*Ae5)lysB!_AR6-x?KkU>Hn0PBzfLX;_1l!ypHK_g?t009C-l8}($ z9Pg99@3+?Xt^3`(?p^n;)z+?7;>kXHKl>SegNw+V&JipU7sTXG7g|<7VMLDtPA0=4 zGKcv#GTtR>TnVnC0<7KV#)2$@X#&TE$88&Rhkctj&20*j<&R0xIDJEHrRli9$W3g? zI_3;w%X8}Zku}1QEc?-AFwbL4IymYsQ0t?sr9 zg*K}`i^@Gg#Pj9Z3VO~w+CC2UOmJte|Z1eo@!q~gBUdz%*i5mif z8$%**f%Di4_;zZBy`vgciN;{IF^U|#t38^%&Env3{G~@TCgO^l6@JE>7yrnFCP^FC z3gv=@X$$Tw$7hXBPuTKkL#-0q;D`2Ig~QH3J-8IUqk-+2BY8V^`vUbCZq%fpCZE9M zM&!rG!WEoRKoyLmirRlcafdPQUqCc3Y{wO5A2-LgkhyY}gCHR^ZM1@(Wx*1jqf-=IH->Boa+O{!0QupHunoRJLPC~ z_!*!GEF2s)!sx)<^N zbV*UfDbOVxhN*N}fw_eSC zmTf;SCTc2zzIuok!84}%Ssin}ok8v*n^jvwnwm?{wJ?kJku%pjfgP0o*-yuV*)f9) zp4&Et+w5vu90hX=+e_{7vvU0LBUIC^gOoqamk55hy&qhgiupu=kf6sIbUf2Uc#^)o zCye|@8Dr2EV96Zty@s|-PymIJFvZUhf)G!rx$y6dXL3g=3DpQ|b#dYrFlpY@sB(YC zlMIfFNl6RyjovD8OnVpzZj=A@_xo>l-2Xqnka#LS;qE!DTJP?c4HF@de*Dc}%DlmyBXU%4@$#m@XWsfK#|#D2!c< z`u?qmm*yK(;E)PyNaB&aYY0{U>GNjdBG2jn^EeZ!)Hm5EUwI_)py#x*3CMqTR7CQF zQU~iIC6Mej{s!YvqqhHr?FQ62_-z9IQjGi}VUg#o6Z{tWH>7R9P7~CRIC0=>PWf*K zz5iS3)Bmj=>i_OP{9SW9~K95 zDtcCv>~Nx%+vIEG%g+m^hYQ0`(@tUH>qN9h2X`84r^3LQ z!W!1<+K%I`9{bzlnVobhPZ#qUcW;`Exc|KJe8c8GdgeUe1q&}V%E4gt#Yf!Xe(ORvn;RZ`2&!w@WEHZSr?g&{CX4oN{B-sU_iBeJ+6|D zQ+GrknX0QUZ?4zg2hs346AV63a0Ohf+x({4+s&XC5{K{yuN|_ERLG1|p#fnJ`Yo2* z?CS4uXnMo8biK$8_O%$OJH2NC=1}SKXUc)Q@)Ox4Adc&*>6yZ272hfw$?J)imeHu% zciI7nT)QTMMO>*6AbCpy=d!-{67B#^l|NP2OV80g*cA$9hulmmgUddIP_rT(S6PqV zhH*}$Q_nb&rK~%EbeITFq&UpZ@P7zT>Z@b&)G2X*B3@np_ucpBL2&_V#fpd+w;<;0 zuTKoDLd8D{hi=R6L05>|2SV|&Ftpp~XkfYZ>z%?|HW>%w0p<;-^e#ygM`BU_!LAtc zZeD>FZ5m50YSi;ISPuemx+zo;m+!Q#pSJRkR|Heb60kjLfa~%+e@Z<`SFuIb(6<>S zCNZj?iP6Mp8>52mGk-Gi{SLKaNVOHv^NxkorSg`!C%f2r-QsNlQI>I{NRu9gMtk2heNwlNE}pDptD`F6m;+9O!Jl#4#~Q+DVYaCwC?}KnOH1=~ zllgBAOn#Z`epTCsMgn%Sy@qehVwTLp*SngC^R&pypOb>u(>^{;hFI@C*vq)fASGBk z8dwZuMJ@*)rz*&=A;EhdSW|_;m^+wS`nvm=k8L0&JN_MH|DbgDse(9Y&V1=AhQk8iJS&pimud+jNCE z{B}RY?^`HGvwvL4m)t-Gv%S_^oeOxiAZx)blV&`_)Ri>2j}&@Y6)FpHXFLfVTi3%i=}AC~nQfFFi>qH-UhHF#{wCYw z3$)tg%Qxx#ycUBNv3T4KjGfuU!tWgoJ=#a{BC;B* zf1TYv1mE`XIu;waq?jej$sGCRKBJk~@FCv5CyqZ+p0}VvYmsB((1pG7De{8Fi5-7e zW=&w+FNbApCAs{hk^GRq7_%N$W(MwWW7I8^d35O;>eWzYitCz9nCnO*>wV5B4`LD8 zn@1`*9I!#DjuJ0*kTLzxUk&?O&kFAfgXg{qwJmK_ZsbN7kD`5Iw&sF|o;iOq=k0l> z>L9ouB(cKR5Kx&}lvjJaQj*kDuvtLWzihd!>S_Fg164#f$p5M}Rd9ARgPjor5uOXy zSZ3oroRs!Gu#F0mMgljf=5^6Cp@$m)fDczo+0b)~;vUwN!SebwO~uN}1NUSrbLv@O zUkB2y0(>sa$_{VeN$^NXW(F+*F*!f|{jSH?t{4ByhF#Tl3`E`uzIIJg8~P4XIy>~J zO6At)>3nOYDsbY~mj`Fi+K-%F2WZ@y?1dhDaR+~b^|$CN&+kwIdd$OEx1#)O_ti5i zdO5p?=4Z@z%KZHxKWg$z)ohG+i`|~o!ELUU~|jaHZ*lM!T7r8g=xH^09`=-t|}unyB{oyRA0x<%CjzueT6b z#DfNyl2Y<%sVnZ95~1#GHWs5Jd&Y*SGhbv|WMnMZbC~uOVyx|&;V9D*5pLElyri51 zua2ZPQoaVZrN>ZvtL9Z>|DQCc>=is|L7o_1i`yFPefZ{Q0Z`Ft1p6~U!y1!%lJZH$-;m(UswAJvkG3ncKi_KwJ=^Ny*{2})9gjK{ z3f6c_M%@J#Y6DM?p?8ca6Cpp9m!^ok%E~}dH+kguj`mM#)%*?R^UGNSSi3otk3I$L zhoM<&fLNT9d?uLxx%`CGwy&hUYqNV_r-x6QzWIYM7%tDqsAkj_F+s4Cj=CTdQqlh5 z$~)bsN<$ZWFhlPN)!vIQFpm;UcV0VJ^ieS4lf!=*B(pV8-;2A`IRG7+pbv8o)HK)< z(YK7-*M-~FG_dyYIM4WI2AQ^TD=BuQ@%8Gp*WvdSf`tWcQQNV!$VkF!yTsdbGH+v& zcU4Yf24VjL$puqj;HOjAR;*ki8P?!lUlP!;swGkX!OLz`QNLs7gib;SIiLP*>wAoH z-}#V~bD*CZd>&l6hCZH7U+!bR{*|_98HnX!MdjKx`LHLR*GOU2%$2>@XTq*aZL4bT zq-`i^_zqS!tTG3;5W-WneHk5+jO;UFVJ&HUjdm|N$bEmDRDH#tp*eM#-~K(^drY>1 zU6KRTm=vt+8`6vN_5lGs7=Kms>Gn0-+F9$gk~pR!$BVcD{>@&$pET^f5aGW=`JORE zDZ}``wOYhOXIc(OWvxJ1zRhns5ppX`sf^qPo>_olhV&c6bqyfv3k1*}+>vuyU*I+d z#ceRd7?5MPyBON0#5k(H5-9qm<;%KqCYW`P@*9L7T zmh?54h&*2uJ^$;A%sdF^lq0g0GOC?j%{zB4ygq1ZlT@>MN=H1+Ywi~emu7dI-v#DK zLT{~pQiu}uL}n;-Fg;jf&bpgMUr6nDdiXjkkJ%s23=<9guR^sqPq6mpiAEOh*U{U% z4vz`76wcE+UxYDLvX6S^zV9hZ<_{Y&apJmO^Db8HAOKUF&5u2)eU?C2|Wo2S=4N0+l)+3K+k5it?Fib$?sq0Bc z0dyJSXkdL)+0iSnVmtA1mG0|P;xLGTG_Y8uZooZ@WceJFiHZ{W6&$Tdas_@bkr1_66EVNjtXI~wdegARX; zhWP*J3PaCC5sp|){B5ig8G$cnrnpU+`Eu80v3EZ-ZMk5Xl*w!sHGfI4N^`n^jX#w= zg?lg_W7P_ZO%O>Uxm2A=lEmwUsAT(xtMN)a@{;G=Er0vYs1GN8=HGyp9XmB@LaSi} znHik^h~_Q1(l67~T-3rE;!X#dmj9I-j68w3awcoqJmFlApXy1{NIx@x^o-L|^)M12i;T;k?xmEI()X+T+~iy%jK%gcN7e6F`cg>N6aQlPSkZZCX# ziNpfk9gsew-LfE$Z_!&xGhiFSrSUjYqN@mAj3jQrRhi3=*;M@kbMbp*oUBkO@~16n zjNWFMy$6&UFjw>$1Z#E;_n5SmzQx9nw$kS%4NRP1%lTn!h>cabPE;@T*b~FaQ%$8S zJ;HV!Be@a>yd=WHj_PW9kwM9pl|m?TH9=xi&Cw2y4m&RyUUv=b+oIv@{k$MutOheU zjZS4Q7xwA?-i(kfi&D+JS2x-oY3%>!iXOyicUv$?+&m`fT#R6^!4?tf<}t@k?GX!) zS~W@HIoFb27*cNox?NcXiKb}%Q#TFMJDnAAU9W_>Y?G{CyDMWT1_S!p0g{63rIC;1 zHczhe4<8ev_1KdV=EuuBC;U6x`*ueYe2dp*Mpj_?Qvp(?GiSjF?Pda zjKG`wpwLoyP)hEiwRHPB!uW;5vPjbT-~h+lu>EQtbv+qKDd1>&k_iBwdsqRzC;`h9 zt8N;evYR)uwtJgtj#+tWZSN~>@)frf&c14*gSm@Uuo*etxb!XG@tpUXhx-|u+{L62 zFt$|s@5H=xHAkj%nkxyJ{RT=W(}n8MF*2J5Q}jBFfAoFAYT9er-DuMVH?-Fq%|83{ z3nAhPivfcz@tiK0R&pvh=5{6^9C3KP`U>-_WwNa%T<75V-G}rzq8CU?ExrV|N#=^> zhA56qTNdIg+geP|RDG^>BGQ1jljmY%V3qTor3{Oj4RNR|1k^M{BZ7^Czg+j59K)se z^Lk&|rZu>A62R-Nsdk}bwwF97-TT>!Yz<%mV-@8o2OZ!J6TmZ_*h#_a<{ejy)a=lTI>V@&{b(UBRKH%dN+9+6h^{o;tD_ z=M9bkR6jKX`7NjMvX#85=n)oa3ZH=gNyHf6PVjIR!sb6rJW!!yl9^RXxl)3!8#nGl z4m2%`wAKh$tAt_b5CF`A)F7x^_QtB4l4II_4>Z*Wsvvld0YiZjJ`*{>xvHXpGWAXF zxnrQ=Lfja}a5^LKx@FeHpSElIXzRl=4pgy)7=J1{*l`;a5?xeF7aA-^ zU4tVYmV7y=lXiv>d0Z2G2?%ulv94got7X3vAm)1M^#FaVHoBz)EH&0Rc)*8-+~_AX z=3c$n9c}DE^Vqe@{)E+zvq!MBgPQ_<)-u1ha7{j8Daajbg}I^e6Y6x5P+d$5j82~l z`2_5E${sc0)@zJ}+InoSN>lG*K*g_vEGvZ}n1Hs;A~b9*w=Yd&}BK4%6Q9+Fz*g45yRHVAcc&hJM(g5MP^9y{8ur3nBt_4 z*$FQdiqqI&O=KEs9{=1_rsEg$NLluOxDEc9!_+9W*2Zck&&*(RIRv(BFCZ}xhxGuI z*gTrb0!9o|9=J9tv%s(x=msdrV&mvM2sw{BMgoCKUkIKfs9Z{g?--ah>MXM8I%&`y z+{|v{=YSu_+vTR{YlupP?2?NcEvj8|6-Oo|1z+GtynP11K-jbIzlTduEXWXZ+}#%j zoiwy^LZ3YY-02q&pLAH2K{e*(X?n8Tc}MDw<+8`|pnCot0HIJOzk-{Cs3gyO9Kg0Ep__^_e z$K@EE{|#B8Al;OV$Ppj2rYk~Ot2%H;HyLAKv(~#i6W`Cc@b{fsQ|Y5)*8&}!a90s- zgS+NN@^(x|9#~R8U7!_j3dx>Uz-xEM!7p0aFX?bTVr(1t;U(23`yi%Zb#VIENpp)P zrTNS(MWtArIi)69uWzB&Du{qtJ0S*rNu4v-9k88$fIp=I${S5AKMfp?L^hRlYtC;puG_ser6n&5J19~G`)ADC#m0Y<5)=rd~ zL@Hj^(RLHP;;$G(V;g{0U7%Y1{( zVo14mlDQ0esprhSYMg7&9=jlJ@%WTKX&>L19i&$k6a%!8QmEUhp?QUS|Y@%84*fQ6wgkWlVd)s zny+4p&0*H|BfdN^*kiE71(Boc8vnT2LisEDMFvGIZDb2nA0pdx}4PmFbN2{%(wia6yO z(iajL@QkROD>(!;S7H_74$>#<&$42IYZBM_v>Isx%H!-?i zqLA-)LHu~HVaw#riQ5(s2OtdT&p4zsrF^xb?xcZbKgm91^xhxd#u_i#_jwGv#}$S# zNYuhQkAM>ii>yvx5d~8!Gh*UdrHZE`XCTHWaSkC*{z?y1Tgt0Gxn(^Rm!Zw)oh1s< z?S%jAm)4WoXmZ^EOu2k?&;sDWr7Lqpgio2~Tv-D@N5yL)4!e%)Fq08K!!0rU`b3yh zV+Q786UV61Ms#qe0Op^=kF{wTeN{N#}N?e^08o zw(5vde}gm|MdigRaEELpEPXjcwn-}Xazy20nz-25UT~FnT>WhCcGDYL;mSo-;OxNz z|0B#JQqWpt6eK(+A`Ug!){t)juzL0(c+2BV-d_nmoVdbK?0h_PTqwvV?a7Nv*^KPy zsQZS%QvW4emc588fi9N-j%A1WbcC&}d!}^^q-daJr;XPA1BYnm6@#dtZ0Fs+5Zjaa zIG;QY$TbPL0!~lch?RD`0d4DMe2=)3&KeeuNkUr$Up+vhdEm^-%XWc2PzMo}1mpXs z{rysNC7+UceJ)6kXLrVTgW$>iB@@FrGtFRw0827S|_R7{bM<*^|df; z1IUtq{V6t*GuQ;Qz(r|hDO-|90;wY7{;J6Fac7XwE8g<8u|Mn!>A#979Fyfw{WG;C zo)LY+j8Y^2Q|y6p7D*&h$P12bOzqKn@P9baCp(%QUKJO_49}Ywcs^sn>weHLc5$vM zg2v0P-q>96m`9Sf%gpfZZy{FQ!ProRZ+{1Lq(GMbxd%5uWCX|EQOH28M|N#qpaE3g zCejtsYt8S@X2>@CrnGGYhw%T0@Tkc(7)+^5u>VhA19vnNMl=+$UYUWVi7jhFn|;F3 zx$8X5bVcW6rrm1qdig!=UJFdEqdWJ4GE3+m+wRJ~WDav{-qzwIf=+iK0&jwLYe{K= zh3E|vU!a-?5J)fBrz2@(c0cV0Broa>6&rD$UQ#)YbP^IC zzjF~OIM?nEgTr^XPkU6N0`+_D5Y|dtFrT=!t~oYp2-4#-m7X8FgHtx`Za{S$ncYVC zqiVVnV(H-C>xk84tw>^xH`kgF7*u=Yxbt9Ocfyz7ceiSL@1;f_4$)!fO^;TC2&?E#9R1vyAsz#1&tSrfuI9mbDyKg? zj5ii{tLpWk$> zC$!XQ$K3PfFXzKqfUM!3Kn~yg4l2t-@zzmXJ9)~I%pMyiP!H!42zU^MY z#k+2O5VT?RUiAVuFBoCA8+=19j+*LruFJb?V?6Hv4Vfgw|7huv{`!P{)xxnEFqFS? zURi8fiaWM|_J87hrv_8%Y&OR^#aE^*%?NUese4Z|!5rAh7mvhJLmI8t=C{Y7a z&S^H;3$A+9+wQ)u7PQGsbrpwHq+^i2zZ5|qYKcFz0JcK<@D17fUw$x502;HghNYEX z66|Tow)W;{)toW<9hF1CVFuA{%7F{0ndj6gnuwS%@SN?tczFj1q}q=@(y<@|z5*9v z3z4Ki|8z8n`>6#hyFf2#lHmJqiEB}atBQyCO?`~+``yf_`PcUFs|4icHhuDkd`)s3 zNgWGqu!neslGhB0Y7DqOHx31QY-;QGj8^SwP>prFm9u z1N|l^?tb{a@&sSUk4_F?Naht)L{A$Mz&Xk1lLK`53m9**5}mv46%@;+>{GyOaDP_8 z)qW5AlK&~JLW6~-@E#${-%7*c`4i(Hv|63GF=(((W9sc-sPq+O^H|G7s=pTl4OxjZ8P23Mo45c3E%S6?eY2T0|@KhB}l%u3$T&=0{ zM9zKibi0*L;uqGD7f~i^U#gr)r;`0-_wwE^D#+`{mUn|Y$P*rs>qB{w;D$B84O#U} z4!#G%F~u4&>?4I(QvW$t+>hXM@Ee3#8>Q1fhUxeBwIO2YBkf^N^`$E?G*t$OS&9y+ zdP>M7?HYtpani*ur=Y_-i{Qc)&)hSd9YGPtX0g4e!C?Pz`fE;`geBr#bMZ`y@nQW$a*AMWpJcQGZm@$bPamD_r-00yzc` zULOTY9q!-+baS3~B;8Jk-TzO+)pQ=Q@M%jAJQp+qpu+}hpQoqmK{)y8Z*)x5!4-hT zG&RTa26-Kw~@v zr_6T!qpUB`?jJ=V4=!x`g~;P&BZHPdm#atD+|IChbVOdmb8jW+FF~O&l(=Z>3|!R< zWZh0zlQa1{7ndMn<)M@A&VF8<2ERlsebQWY4%Ik~dI(IK&w9Lr z25O34)%NNIx=UPtf*Xt1PKFfWjB>NKtuPxbQK&f*ik8vp^9hr&AI1hxM~EnfN6bFz zOx=$k-9Y2(%IVDR9c%evXFhW-0%{q17pcR+cFS%0(qHcDZ~<3pvzS14wmxktul(zYu0T z8>4sR9a9JHXAuRMYXa(Bi z8(4Te>A0w1o1$sI(9ytZU9EC&3RxX0ZZytyp^^3tPOxghN_9iq^ldl)gdKSaKTndt z$P)g3qjW6AY7O-~{8Wh~O64k<|>&s|B+Hk0*w?5){< z%T!m6Lw95M`Zz7I*WeNLVIVaQln4%#PIB;y)6a!a7G7KPRg-6C^dp#SY}*4QsdNBU z5${H^L9In?3;Mz!b7kf^W`CI0cDEYTI-!k5E^7zN&Rw401^s;fWG@Bq>ngdgau3A0 z+j!3WDri#ZuY?(XhdcatjQ#otNNe2BBp4nIpD=Ic!1GC<=Ui`*~P%n*2bBKc! z-Gs?Q*8<}_eQgT*!>agC%jEH6s0J2NJ{}F5+Z-$5U61baH2Lk8u4M&BdgeF_9l#^? z+rBqy@ES4{kA9hvvne#DA0Xo-NQ9sjoeJ)UJ7QzUga9X@1p1$5)0CmE+R9V$>f-;X zbTI+GU^S;?m*mka7|yi_4gZk)T29Z>6)#|!O2L~GUXlI&3wJoUw~bLwc6Vs7e9g;U z+t&zgX<51(qiAN0=}!PK_pMoSbs5w>Sl=VAMw^n6r85nSjRf7s6Y34vUjRzG`ezaZ z9EgK*$w1@~4cfm}+3rkb+^>n0ZoYW?Ab=9N(BV&5))jd!<6V+`MKV8e;fYH((f2jb zGD(91|w;DctG?s|~-8eHx z9G!xes1x_tuB}D&m&3jGJXUy<>7=;p$G|G%+1%|(@?)}Mr*ufxCsgK)XM^Lf>lPx3 z*6^ebbjV>EVz_<3l4OJF1iduP%y662O-ci{VO6}k6!;$F3UeF--Hu1;Kgwz6P#l_Y zEb2s%!eRm(rw@ewCSX-12GE2<*n6f145B2TFciF2(pIH6K4p&VRs%dOoIL8zER;<6 z8MW<};FQtp`%2Z_J5+lhwtrBA-ce)AB(f$X6mA!`Y#ni9B2^ui+n+G)*ruGf*ZS?d zwnvCBz@Fi4$b}zZ*8vD{X59s=42k^>vzq9&L3}ieV8JZzWvVo%L1S+=EfWtO%LwpB^%_+yGKEd%g9I7B zvH{XU=BZecoiM1eipj9z`|0UwCYA6bNQwQn(r7 zY`HRlrHa7hpbCsyf=JgP*bG*A7ydKt80gc(=&A;klRO$uW9;&sCy_IG`?E?`Z`+ZT zRIM)!CI%M*2DK46aFBDiJ0z#SVL^^bjgPZABU+d=n20bZ{*;XXw3It|_SFPX;y0U-c#U8WEU$Q7j2Yfy@mMeW7Xv3d(4rKt-X zw22uPqJw0B0x6Xx?76yoVXz1fj;u9t!1z@bEM^P(0NH=_cNd?MRq5rj{$pr|aaL_iK>^-PaRC=h3r~PhkHk8uMY(DDv(>Iyy|NQB zfJ0{phrTCnaSepdOA@BGA4z9us7{Tr*C8v~L`u3ZX7ZQpH9Qf#jn$ynM-v1+ggjiQ zIiEjWwz}RlYY7+|-OnLzVzxnfSxu3zkexxaYx!8WhGwzD5YjN-r_TsIc2@P*Xk;^~ ziK~F|CzJ^@nCdv~ezr4FebS)Oa^zpHDkzH!E&<=HqDupPx<|-{6{|`hQ~9u6E0wpX z?dw14x80sYDg>Wu*W6#I6(ayx( zwUgcJs4KgDWTkMmM8h@FQb>J-9Kbqjoig%%7Fc-6T;MwEXhJk0tX-faztQ77)ozu~ z!73J9)q}I6Dzqo)9(T|8%JPklFW(u@-eAX)1F(uoX(0hvtz~P{nQG3Bs5SR-g^X#< zCyCo?a+@b5JKb78^~)6k03n+F8fJ-N$bp~*{NibHs!G}&p8O`m23V~S7_A&^XkenT?Ue~Dl{K+ZD$*#l7_g&_+wZ2N`xP?!_x@7wz%{0}EJi zpI;t+>no!+y@j<4bjXr_h)?JBZ91OWlxV?$3~Xo$W@2bJ#nz zZi;Q`;7H37cz5abn0-BXl4)5korFmC+B}X~*quLp_|LhgtjIsWG(+rN2Z6nTA4rq7 zbO5IP&vcbX;5WpHh^t*w&G|RGs3M%j1M6)JH!cn#D}G(ypoN*TMjASp(iyFpr7*Bs zBlGT4m#BA<9XnZ;!(R{6r%+=r)X||-GTCie(HSPk&clJFJP8?V!qB6y^Jnbf4s-{$ zopHMlcu=My1rtk{0j8KT@)}ZTMV$o+JemU{*4lbFI`D&!vA|nrBg+$}S#9lEzwL~Y zq7nT^0NLEwsDr{;1#CWBq02TZqz0fwpYv~LxGDB?ocMQW(Y+^isRQJuw~Tc#DBukM zdTEots%0Br3I#wRMNJiQuy}cgqrvJeqe=LZ#*70P-H9dGz#YiDS*;SguifZ~j0bP} z^)>6X{5Y<{*K#=Nf6K?95rNXlpXlg3K`7#K;%X0N-HN$9 z`&)cn9HE1dE|^3-9k~Q1D+is_>*1a_ET$>%+;kP|rYS5d61Pa_M^&oQuV%@=cr!o$Le~sE)J`pLXaR)B>S6)dUDHxQ#DsplH09{5-C)~F2 zzbC$5j9lB$$;`lqDbEs5o`G+xH3D$VzA1V!W{}exJ}O3y;{A>Iz5V% zLllDc1>6h+EEzs-Eqk4BxURSCNdj!WgSem#NM8cuMRnl5)=C(*@0C}*NV4Fv0zz28 zmGm?E`585{5f@Ssx;L==hVw10;o zQ;Q6t<@c`}nGN#)_7{UU&om57yB==t9r4fg6P*7O)6Ag$-+_+dX@vdnDCd7Lm0lq} zB&-(HDE~m}!p^#=(B3HB7S!~nfdaX%#e>B{ox4X~Z?nPTf^oU&XsMu(E9Rpuu6qqm zB0mqKd_n4nkQwi1#PG#6T1>+U`pU2VckUIm!Fg#MOXfmYl9JvcIW+{v4}YqO0B3At zPJIVA+#O${W?(On@V1m1Veci@TZSX@1Ys!zc{N~e!6}SIjxYrZ5}rj+ZXm9)8c?0I z=j%|WvBtCy)E)JswNUIKYy;(Kid7a$p4o=uoO-x)XOQ&lUk83y(Z_Rzew1q-1_NDG_$K$W1^6B z!~DrN4~hiH*#t(45ztUP_t$M22+WLqL#zctAo38~d+w&#j|V_)y#@yGPl;t3hEKZZ z^mkC;+CuukxkbdNh&j@FGXo20Dk__*@3vu{Q=tMV3vU__x^X2(aDI?Ps9_cL6&b#G zonsgD8}!=ZuN;v=GHI7o69cLj6A4S83i{8p`YYJ|#FH*su?B+sUc*+bQ)m_#=I5;k ztN?w(zCTtDp2eT*wbDGWdlr+$3=v<1&tn55_xgp6U<5Ve#Q;d?Z3}{2RLlT?4O}de z7Oq#vb%-cFedfSJmLG$!64~+^@<-O=$h_*a&lG0JmOsa+r=DM1)xWm!CUofrYLeJi zDoQ>8DK8#eaOTPW_3C2>jwOa2UI;GW58K7YEqSaAk0VnHgR@NHfN+vQ)u;TKOwG8i z+SsGo3^`%ikT8W1%n4c_z`2r^esg2De!6HN~)OS@G*~=@+HMhowK(cb*mhl> zh_f*vCGeTFX>I=WRJ9$;YBvu?bV-Cik(b8h?!^^bJU&wBs7q7vhP*G2bhRt~73x zW8hw)@&$B5VnsTv&D_t(ZqfS%_}g6!MI3hZxg-w_@S9XjJ)da9Qthi!qmnUkmua~B zQ=O~dq;tMbX-Zivtr7)BP_i4PH5gAC3=_=Eka#JUqjOuq6`qiQrG6Je$0%-~O zk@;waU2wmQ17r!lD<%5tV2b;NW~1Y0lASX9wgDkOr-{d4ZMUa1fD&v;kq`K9u8J>O z`O*PO{w&c_b+6`pBjPV-1;2Z<-tE(gq$aJ+(_clL_OrgXM!g0Hb4~mv&0NxXGYC!s z6^w$RxjO-GEYrQ1`PdsFJEn(ij}bP?swP5Y*bTNh5rp?-BmVxsUe4RvpJDIBPf}4d z+jW}Q=E<}hJut~+{or4ep985jMK}heIH1M+htpoM&1xO?h?hRn!YM3v%j-IToP39V z#CWX%jV2q-FN~vw;RY}ov}87%uS)Gpo-3{g>Cf-Qfc(KJ0g;|_{Y&rMj)#OLl$TT3nBLbAEA+! z0dgTZ*YJ26$@*<7`u_Gj^+t~^9#xUbc?#Xsl?lr(-&0%trelwjBynoo6~KUzp0jQ+ z&ZljK;Uk~-W3o?)tn*cUY7U#ujy)TxJQ7UzXS zc9XfddkD%G<~AGCdMeKg*tTnKC$2uYqT-UOg`w#NfYQYHC^ot@&;512X}jr!HF+4C z!`~6srw;Ys53$!Rt1+**w7ZHlH0xQBR}^tod55?}Tn|}Hu4^rBmb|#J4s9qu1;u_~MM)8-fxWKWHD|W{-2!f#hBtMWH z>HbpAj{-X)c1cQA2xljBGhe>ym2OpT|E{$>!>I<-Rptf}9$Y+R48*M8cMM-1^{9*I zj#~o@il(&(1s>uLvV5V0KZbalr&Zbad)wdW|Ht$e!PP?}@U*rtEc44rBMbkRSHGmK zgZ*6`Ve)s#Ya&qCtq?8BpLNH#SpGO{G~7b)M(&et(t_uGnUV65JGhZxwd1p#Z4K^6 zJqRnuN;fUfY-H7IL)uQ%p?#8JmJ^9mKwjawana+)C$`T4F65xwj5(-^7J$prszSgj#}Ue0(o(xl#?u__+JV zJ*pz36GD9D68;k!c!tV5RQ)qj0EcXh&(LnsK1P2)qBBD*8&~pwSan=$4sX8*u55Tw zWl@c)PcahaL~caW+UJu#a_oqJtFz_t6Ojv~BLv?Vckw@<#meyCUB_*aw(p3oebpHs z58N)!sfWmjX_G0XhYn-+<|s*;q)1-PNu$gUAJQ6ahkG(8cB^>lCd6i58}tW$sssQt zTw_4uObxZj4>2=PYqbX?tWS9+AA95KZ-a2fa8Ic=;?l6wJm@BLvD@r^OZr5O#a{CE zXd>(VO#jJ|BxQ%P;f;T2APS&AP$Wa&VIrx(T96kDZ1z*i(tx3TA3qKfB@|1j;|}0= z{)WtmaUkCm>`)7u+DXQs#FGl4Yi<$P9wtg|{Wyc7sPw0dc;UC0!_Y)q=TQTy8}zKZ z?G>9%KYo-dx2bF{x6 z{G)m|n~pj}xXs3H_e+LvYNOSX>wddh-pVdnzFG;Xhuj;eHPLyS;CV3{vCJN%IYkguyMn7%?K!M}R%U0&$OUe&78x0tu()nuw!6Bi0b6O+_IhO@Me7jwYL_~#>tYn6h=d6v~m`>-u-Qn8w}o2ZH?=#Z{|@ozYw8`xS9%ot%qNCjo8ruNK^{V}uKu zG;Xl%2)Fb3rvGp|F8!m7-JiVYKq>hLf3{*HINm4g-`;QRBXO!FHJ6<8O)vHYKZ{EH za_U&wwS)b#FpZZI6DzDjT91M4STtAaChR)I7qfOL+2ods^caA=b8NJhLM>a^0QCVs zE+H0AzfPK1AimXVaPD|w8yamJxR z0Yb4KIwJ>12I#;^xg3JoIYMeekrd>0{JUaG{~F_^6_L{G{RzuB`=hhB9|b-Dptr<> zJajiLf7)V^$Br~#;M3KBeqSS()Be;PT9VFnW(L=V7epA0`CL^SbTgPRnB-p(c^Z~lD(;L`x{tLCY>Bo(DxuT>nz?#62q?}0An#+J!U9Is#r(NGmUmm?iLl)O z+`<e83V=h|ZTFF_4A1csuVft{|iYz&X^wNksSw?VZ)%C%5!Bp98|$cg>n z^013!iLa+9n0hozX5bxs28;6eEXdIm(69D!rNEGL@FMPv0A?kJ&1PGO9S!b9Sb3bI zMQ+x19PEK_fRYBdN<2^a8Js;DWnVriGrl(1rm5%AK0*9##TwZD^VImpCNsn1nS}de zEAobe$K*_1ECJheDaOB_KXY>G1`xEu`qnp?A$-y5XHcq%Y5b;$EYwmv9+|D{X!;C}e$?2}LN zS6s1TTvc~A|GRg8lGS0$Gxb!b4f-AafD%~K&9&RvJnQ1eF_m@3H{^I(8Loi14Qj$Z z8hc&!96@V1|E#l_fz>;8Gq=O7YyEccPclsgA0#cc1d16AHu)kh$Gatqe?+4eXnb*dadIC`lT;eDJT!N)EeSZA0IO}=Nm*+Z0u33xw1DFpR<+<8D4X+nZNk;SX=q)A&lrvg* zi*^+LCi+y<1bwD{I|gFY8+0#?K`K?`%iYqU_g9l20+4?_B(N4YB3v34z-&3+VT~S)va>9r^n-WUezW)cWOO^-k zDG(;;jsYKPxJ5zjK54kR&GIy7_1Ya6>Ol3;<;N2=q)Eeh0uDe$ea?50li3YGZs_I3 z(k8w5le_KIys9ix{I3aerv>_l82nVf1Rk672)!LN{)TxD7;KI5xa^e03ZJoZ*;dd2 zfQriJ8S}n^7bcL%*?YR7hiy+Bx>(NJN*8zH+}J&kO&k=k$~n8BmHI?zwkBKG4iv#E zQ=~MWpiI{wd=VVIqfTGFP?*cmmep(&tmZT@4&v2soEcDy5!9pUwz}(%;EESv3V?|O z$&Gx2-n_IzM_|^r_i6pDmoZ-Iwlp${a_IWH{C=nQ;@_kgN+yPClvAS``ALA+QH8c~ z1zvqVfb}KZu?}Qcj}A1WW^Af0*hd_KYKdRi$Z962V#nNY#qOC&*FQ+(Vpk=-O=^Ue zNAB|Al0gkb!|i(t`lCN3;dH0~HjksWiY~wl-wVy|j;l`hal|9qkk3Ay;lf=p6YtpH zz2O)1roBx7vj8dB4(S5~2Pg;262R6Y^aK(t?qeKO05)fj@V-RcDKaLnnRzdjoa&W` zx9$Za_5_sL6L)^JvvU{*t!p280uH>Wk3l^PpMq*5B^Io_;&~ukm$DDd=!FFPjh=i< z#NjT8$ua2{YYe~Lf9a?Nhl>;+^Nsq%n^``NqaH9Kf@VcCbnrzwPKybt z?fr@aB_-gFi1b04nyyq3#<^S6FQ%MUvR5+)l+Cq$&{}dzAWu(2`3Y-z^N%F)>&Slg z(n7|LR64K^g*H?V-FWfmVUdpd92APxax*`rIwTRX0Ef)yg8Ib);Ee1x>hPBJ8_Vw{uUY-e zNmMGvf;97C_?WO+9#y-PrC36ZAhw53Yp$FUM@=@6T;83-tbL20$u}K^{kqR!IPG*T z6|SWwqotn+Uu#b&+|zv_ScA`7YlLOajY2Hd)zR>#ggD_x+b>WZd61tSJ_f=;>rAv2(q#p;$tz z0+GiurB2RFbTIHa(;&>W=755gd0IVLE>oM3cVUS=ImXo5V$Y?Z7-RO;D>Fp?l4&Cm!iSNq#3Ex65zmGbgTEKg%&^TZB^f&99}pLfFY9U$_E zgZ^spPDw7GY(2*qF$a`~=gMlS->(2bz?hEsMmWuU!Enn1sED@}tYBC%;_kz3{IqMy zm@}UHu3x)k5O-akZzM5zKW2Cc0Pc$11p2f}utk<6tB*1LiF7Flb)pofe|tRXA|kr@ zjrPD`XUk+A$t~hOH!8zqkGt9J!^e4Dz$vsEZ6o_nTFqjww?1Wh69ft$08-cwv`X*| zFPJglX}h%kQg2sChRXl@XxR3gX^n)h9t%q#rGAxo46TqqMx`963Y!qS7Q8FA_Y2UJ z1)bPIG}88_>CIV?rdoAHkmKjs0e+#%Va>!2iuk*=zMps)L>9I34dNf1w`JYSMYl5I zKnex&`E&%b4ym}H_q;GK7aUj?d;p?noR|H^IyoRck&*3Lgjp0m@``z)hKS>Q1^ZRJ$&DR1YaKmDgTjX<7t19>9)WqrXJ;5%`#9I*@GM;D zo`NSygXkW~?mhW=NsKOz+U}LGJrl_n^rHGXa$xy(m}XRM(PMA%yhkhe+E-J zw}J}f5a|pswEp2WIsapc_J3!hv~IW2dD}doa@)Tc;gET1qZU!i@$3Xfe;^%DPWQir*UBP6c{3v_%Pp|;o5Ui{g-^xND zh1}8~T^xe9o+J7fibgFIwL(^v#jKNtU7ILtoex z#=7#z8cAo%Fz++z30&2W6-Sa9=AVZuj7cS6cHGI6TVpsbZs7vcwGkVwL?Pa+zn(IxNq}qiH@7C^aSwpq`%(#!26LnPB}Dyn!r$tRK?nb*~jPK5@q zy&DW!C+KJLx+A4d)b8iPf0K4}9$h8S@VkVj8ZxkcP_j@K6a0eYVHFbMyx?dOen6*! zy4!SDmv(*w$$Wv|R!S;MMntnf&^b1EQX;x`_{%R>zfRbp#LgOKR`O z^Pn`m=m+SQLk9dKkxM3?2@9qu8o=1yRaEX66;YD&4E6(9wjT~yMY*m z;0w1x&y`sR?_{W&Am4*X83@MVhe$UAB+-E$kdqv+^tgev`f1O(go`+=lfYJz>p&m4 z*PAoBFBDN5=e=WF`2wk$9&W2ENwPj65fRkVDbg_g57ldTT~LbiFUU9_*boEl$5neLgqO=5p{OyfURTyw5fv0{ znq~|&w5`o3I*>@jImp7Nq1%r0Spuwxl|AnEin?rk`Ppg^f(lwx011QbQm|C7=ne>u z($GJt51%2agqOKii5@MH>)imQC!E_$1>2!}ey@n6hs-}^1g)}Lq;(cgm)$p>0H{2x zRm3A#+6^1;D8qmR{H!R^^y|EiCmb0j${hRV8Qc^P{dR>3OG@b1 z4GII87e06eYpr3V-(VufT5U>7^}i7aIOnMvY4NPtIVR`Jw`bRvW)0Cc_;}GKmql+V z)vGZoJ57(;k2W^V9?R>*Z&|$Fr2hWkimb&s3h5N3bG{O`L5CIjQt!r@HS5RxnYa6n zU;f~mr?>@|r-*!9`x5~D?~7xCzzz5C+%LPS9UaS(UL=;KcMQ?2t00y6Fdhb7olF%t zAAD>wCO_Pnk-ed}IO*-PGJJBQ7#iC;%{=j7IWV#WT6>F)_H`R)1!S$N>k^PP2k?St zzsxI-k&Lg`-8Y)LqqLjecV=$~S zSuaj)E^sdz8HdHx4#W*m{wA$tj8a>afnwF%ze!EI+(}VQ?XT0&yEgdd>^vE?!~0rB zN>I7v3R>g5(}s(6@BZ?q&!=x@q*6n#&`PyrJ^0QY;2nq@=S^RqQdyBV&P?a@drznf zn19YjMcvz^ov)P8V$DNqemG4!O!)7fxjos;6YG1lw^}<5u)b!>A{FiDBJF_=Y}{9; zZJLP`-Fw@xIJ)w^4R5_PEp7wS%8VxhN6$+M1nXUuJBz4M<;*+%lk+Io^T?H2NYl19 z(!~y(N#`2t%yS+^6e5+rywF?8X7KBVKu&KFDQj~C-Y?vG5NmC4SR&tG12x8z z3M^yGuq!#AT*#?@_~q#Ob-l=OEMM->Jdau>9URvWBmx4YxHEAWNAig~zwI_{zUur_ z@gg+12w2!z3@jWl%y(ci{|*KQ1o9$H14xYr|LWawKA@`(H1CMqeW#H&w6Aj{<3KdX z-*qH!y)Z2~Lkiofy7Kh#=EhUj*yRtj{KYxsA)j_AVn7$qrwwT-g7&h@ToNmiXreuR z#;xOhIl$Uq;PtgibNq&-XS}cs>u)`VCysVRwRFK`pl)>U;M7{kw_3j+8*a?{(zXlA zI)TXNS+}DOlBOI9);iD3$g%EN_K5r*{$!;*4th0o&;|&Vwzv{W+#0o(VJAEWz37b_PKy*E;1vSZ_t| z9YO_ih2BJJx5y_P9#aagQaS7@^87ZXcI_cfaK_`_vP5X zdQ%zDd*RzNke{^_sN`LGKPv^qwi_3wCtR1Nu7luUYM#B$S8qhbxk!CaTsj3(CZCRm zu;AFOu&_fv)5VaIuJc$FKoM$=ILZ!dUCKez@;09KL8HQ*TX^oTx(qh$7~_PI+wYa7 zfBPxnRNgbKlh$4I={{auWyx!kbOHnKH&(-!0_#m}hpHnfJ>EAKm;55u+K$qGme`CO zXm=v&DG}0#B=7$2GsS73%?-Zt%KU8zFDWn-dM(?Q*@DF%HbI#b&S;w9jn!t?B{hIJ zYbyh=)!VdD%Om0apSXixH}}vLxX$B4n^$7n%{eqfGKplAFhOh^yA0D_mhJPqkd z^=^F~Z;!_t0|ug+ui0R{?UjUk19<(O4r?8#$HdTSr_SwA|vJ41N|b1UgDGt9)!ya*y=mNfpCx1SWcAK$LOWbS4J172M2O=y`VF zcfm@Q5?C*Yd;;$9M?u=V=ewH$m`oSfV*}v0P6j_RwC-`9ju})68As*wE(2P9=6kEF zpYiv6ofd{R*0Eu-EYh<+T?&2|%zyUPwbVj%=iR{hl&N94bP9}tUfe76)RtngklA5< z7>4=$sOoK+A!j&`-jzez@FOyIgog~0f7aQ>Piag}u)jIQ8xcZ*@#kwjd6;wd8+}rG zrWTLoZry0~W6FGr0I*O1>Oqc|;Im>R1>b0Q&!{ihs!kugewBYyiCBSQDTiL8krqNR z5zHtTK84SM@{8S|d;kG=7#S$OZo%RTz=lz*sLug}1D=Br=Bx#h+X(N!crn=?1!INdOpbW1t~AN2vchk2|U=rfS_xK2RQf6tl!^x|fpW$w0FX!z*N z3VufcaV>cpz)PZl8@j0HQ-6BDS54f*8|p68l|8W>O$>QbPjCAIXn|6%)6t(Y=A%!z zp>Q$zO!}zh1wwzG;G3qIFAk=xPK0bV+pPcKk$9n?4VAnbUaoXfO@dZKNGd%G07Q&@ zRzFRwUIf#2l@Nc;7!{|!w4ldFRycZ3P_M1(&sS4xu&M zwbXV&;MU#7?`U69=Tzm^XT8Y?hoS$Oy&v8LSTe4PWc5lIBn*_GKN}6hmuic zw@!_|j|R|nxjiG>RF5f7*MIX%xG@djzF!{;{tcYutONI_N^3z;5@Ku}X2C24mVT}| z2j34^>Y>$=S~+5*juY?6BCT(CEI$VoM)^P-uZwwGf=x3`pOH3;YrW-u9L*UhkqIsj z4=vqd$etfmi+A9^S4T>XlHp#(HYtyuEp==h*_Ub(lhMSIni}1eD3K2Fe4| z%xN{qs`2ze8|EAS++QcHRW)EZ61s$1&l@gpKN_!sAb{Y^C>6eKaTQQxa^(O*>m%}D zvN5z3f25j{8Uy%}x|zWnU4}$j@Y6EEig258fzYQ)v)k}bU7BBQf3=NF;i%DF(lXQf za8s9a(3x>t7fZP=0c2XrNgI0`jtiyDC9i%1pAJ&yWyv6MsK#_V?;gJHmT1SBHoPpWJ zi_KtcE$5GXN}v~l5~}%7*kCQRKdjzDM|uY^`k`-~=EB#-LQ=X=JX$W%@Lsrn{bS$} zYpCj!_mObvF`<-*7Pc{2&%xZj-4ptudP%7)y14%{`jQMV+#oa3pFQVn)6w_t(!*dp zt{jg5Ve;j;sTA7av$DQTQvnvYUub?)0Lq6@rBzKeGCfG(tL>NQW2Yhd$Nor?B z$W@=g$yEwTRV!<;4%*WPuim6K5PymmsP#99UVb8p|19Vmp1)+Gn)E}#ui4OUYzcDI zHz8s#K*2>jZamz|0%4>hZ{}Ni*_NunBJn^041aBMm6y}TE_~8T%XARs?9o5-x*F{7h^B}#8xw= z_xeGc26?-jBZr?Fq>QX47gYg+vP<1`ND7b)`5=+Oj+s&?geS-3&v?Yzv6D*&0lmD$ z8u@xX1p6HEv$`?~7fW=?`2tGnVEBCR6FA<8zC&yk!>MZw zdz-gX9HUJ8F9pTpJAsD|!5i`i4y`a;V3dp(G&X&q?6X|LX~+8bC1dMxqVhEh*pi#S zol&QKouon)0u`C(Gvo|LljJ$-W3v#O`e%xrO+um)kdXcn1o!oMP}14Cl92}fBv_b9 zHwvr20ZV2wVF32S6Is89sirpW(`;CS9<*RkSjmKnJi&AR2DBMQ>3D=?lwLR_FA!|3 z@|L--bF)cT_RD z87hL@Glf1FSrsuV2yJs_uZtVF1h@yt=7{@?*Go%vLWzjlX2@RgllD7Cy5fguc}yho z^WbU1rNXo)XU?%>&VUGda6(@IgYWo|o$?c*YKq92d8(vR$5N>*cWxp8Hy)-ToN{LS z5)F>&ar|yT2+7fL^N~EB;JyyFx5K3h>k>O=1{irb5>TxP8tuW!j1>TAh1>YsPoMEt zeZqyR>BGqgA8dInpz+50m+2T5uH|*Hf`?o-IW>-aX3w!w+?peGUstHM4C!Hcl(e67 zd9h~7Y0%Yt>6-KClQLY!GlPN49luUOA_jOM4!vYurvzxW)o_KKxB&-s{39oi60_TY zULdYF?T5s1Bec0T=z(0~7EA0JY3=p_4*lyJd(|ut*)3tmOg%>9gJfENE*g{}m!4-3 z2cg_phg=^Wap4>SHCd1BF)yM-1*82qXfoH;SYi{Kbjh0x*)Df79q~M?hNQ-Y5fXs8 zb|?p^>|;$vl)S9qO>TYu0;25H^OAoQYHYW-*a`D?f}7)_&%xdFvuXtzX(|I>*CT{z zng#lQ558k;q64~)xDCPvaQZE~5!*86Rs-OI6gofx@AuADP1m6Npb5ctH%-Gqg@D%OW_ptvCL3Tn zpYJ`EMf&>#0S-`@4y}OB6d6aAU>;MG4XG#pBXSGjdIXv&T<0hz`cEM0qbTk>WU6h$ z0qfw8dz2{pP@ZMGn!Rw&5KJL1vn}d)C+$vbG7R-keJ|#`7j#GnX|^=g$SeqXLJ`CO$;Xk@`Q*0N3RyhQ_sTy%D@jQ z2qe(7BosskXOgy~eY{UFz1T`h$$rnugyy%DFH#J<&i#)l-k0svJav=N8p9JIOdm|~ z3Co~Pt6l$bz?$Izf_Ct12APNhcUtH3;1zBzN_z$Bb~D0MdeuNn8V1Qn=bHawBF%^f zjXt=);0g6pwzdCD%J6>?vi|3TxBvDxEh_$F47T)zy#P-BxDWxB**rM7wFG052G3Ho zp5#Ow*P+))-W3)B*7X&FG_H6L5o-xvZ*d%L6|hEh*ajvfA)*|^%~!=LPG7KPl=_u~ zm?>Cn1KiCLI2P--5P6C%k~Wru!DeYhcCR4Y_NLTZNMjk(eIT2%63qLX)LqqIt>*D1 zf{F7(Fa&t9F7{mq@>BwsaexEllXvtPMxL}A9>le9=f%_zsMAhSs5`r2&rVRa zO`6R$>t@#2Fut>>3!=s}K9jWehX-FWG7!)f9mAl}lczvxU6(fF1@AnOzA@i^dzie) zWFjl1Mow)Rcu%HTHZl)aK~B@L`b)h$+ok z{aXuDAlq30S}_N;+n#BX(TrP04y3D6?_NQrZ4b`1ELWV4S3azyRuFemTo-yc)C|he z+ZW4Fp zWDosZGGiZMGyZB)GUNWth9?6zz?TFJg`L;E5hG|&5DC) zibw09QrV$uP+p>lH``A2(7{aTCEPvct;sV<|Nip=wYRX2Jcfqz#ENMmk8{rR@T?lK zmB8lOoQ#_5u$lLW+muibL|wl;XdTXy)d^%d5T)X4ln}>tT-xEA`$8is<|D*@kMnNRv zGv*6JA`Hs%4YxnZreKq_ZiblVvnz9opsg{wo6=2b`0R_qB_zP$gNOhRf0low6wsG{ zsvXz%BkgfwbqHiLT)1tT!$irhi=|6oR2)>BwZuqW$&>4ah=#e{s0m1dq#jF{FF*9z zmm&9oWhx>Lf-v?;(y5zD51VU{kO}E(y%A^XoGF6*;3Jd)r~jnHeg+}W2IBSy`jk?v zPyxBR?lLKbcZ}+Psh=1od?Vx4Q0mjTb8=?Txt^X!$l0gG7>~FXsXQX@S6yM6hCU@J z(}JqQ$g-8-iz-%hy?R4^|7KHcjAjaS>0`cQToPpV655eU#^97}5_tgB?~AfCa<2`L zN$um>K+vHTo^_YeKTk;(=X^1AbjJw=5^1a9*}(UzrTOR`7PE!{oB}GlRuJnzzAsET z%?bI;o~@*agL_sgj*}}hz+22}q#Ryhu|4Mq=N`$e_w^CQDlnT@5-2TiC(E6^$mz`O z?iGnDH)=?eQaU2Ia)T8tCjUiJ28W+nJ+ThrK`&=|I=)lK33)<2JR^O}9ZyK2#13^P zn?T3WXSjwE&ujgS)ZB73D!cxY!Yma}K2^qm^jxmuIzxx0sPUxHJIdO7RsYg>S_reh zz6X)WVT(eiCZOSZ`gb(1#mU(fx#KepOvDk{8OCRi>Dte87to4MF2aJwcZ!dc@oJz; zNuBa}77$EO(B5StY!8r{CM$x2=cVQ3Wrp{6;TerDaJ+R^l~0Lw7TkP1@ucNV#pp9O zG8_H)nDz|*W)gp zLOpESXM3o%vi+QDf$1in&9SwZ^kbLLX&^y8(M>dNkt{3QJ!9{7a1bl5r|vHVR03FE zF`Y+^08vD}E@@54B2|`zTuG_x#7#k9)siUy7UXRc*m*TS@Pt{USLN*$f}87The2lb zRAn8g>rcs&OJzb(Ntr#_8SroUpjC-y9RIsHS6WcPYp`zNw_}#&tf0k*=Y1Bq7Z;Z! zC*@$&2H~T6syc%gDbTEX5({S?B(a~be(?3L--eMhPFwF`Y;Z7#(bsRvn&2di<<=pUTdCenuncoc1NAoCez? zDK8JnwR2roY1V|6l)D87FJV7cjT&jTPS5=0=d!Ts{8oS7 z(BqJAiWIlvYZPP9_uT#h#y@3R(^AOWGMbF8tTApYE*}5uQom#N29)W5Ku?7R-FH7f zubrrnqw}f^jfn%mMPNer39fKN)?d9YKajEUF9d~a6g&M54m=OJ349j)BA-ckFe)g8(gQ;|9eDw#KUS2;eQoO}doE(eqH{y@WF8+%%H_(HTCw2$q zMcS#}S4z|h0tU|y%O`8+z?KafhQrg*vjopCcgyXxK6LNdW1y}|)f){~(44zFCcFf&O7k6*_&;bS@4`1+0&@KtG zQ67$z1W5mfq3yV|_24N)y{c|sHDfwwZozyM(!8WOyJRqK!I(5<$vaj7Q zk>yRsBcfNdt6a;8$2WhgF8@$CWPYx#Ct$F6U&pJk843^uc+96wwoJzit8+{rM=-tO z#3$Od_se;c!j&BYNXPny#zZ3?l?C|Cn&!m&H97No?BwJPOO9V&lb0|DnB5{WbR~Xx zrllbY3Gmp-gSu~)rmiY!P^c>d-d~~a6qmM0OQCI_UUC3trNg=bBhOo2!C9UQzJ=TD zjEQ)180d`;{T|^7D#Fb;4|6hP+pfBw-I(0VD6CV0ABkVrHaIEUhly2U=$qURrIzN* z!g;}+l!w=ehA3Md17dwexuu7W$xI(>i-|Rn6rVI)bi!xrHWN(Vv*eb7Xf{qU?o>-h zJ2_zpUi)e8=nWAOZC1^LA{58-Ma5(tKupD4h0E-m(a$ z4JXWXdDNwu57nac;~+6QpV8Fd*v@L6DQIVjPJz!yhN?mf0fMAE14^dxz9ad~x~KW+ zt#vNEG!tdo&?4l>b3r?rM0}=jc742WEV=9;KH;-|CEi*Yu@DuSbTjQW1Y;$8tvW47 zK1Rk*@fx!qV;`d@Cv`=xi#{bU;Vw%)n!W>T#d%LWVebU)f-gt`JJOSnQ>M|)B0TCe zs)m-#1xs!_RqgC*mFgJfl{sUtyRGaNq!+sJGC?~N%itd(UAUKUOhMuGfT!~os6l=F z;e9tD4Mjs+n`Ve76m#oS@~-uHNqtOcrHaS+nRCdln}uCxNXZ_*^^m9b5-RX;lHnCT zyUKZQ*{hQe%v0m7d%TPZ4?*58fC*6VhP`92OsPB|?-yhaD}6_$CE5d_m}a&Le7K9O zwz9@RSRh-<*r>(haWm+v5XV5x|I3}p3dW^A_jUQf4e+#`PpI!96*~~eOtes|fVgUm z3LaLJ|1K~KJdj3l(ld-l$(jJyc?k!;;&rKin!kO8AVmt_L!iUYq5IT^Ck>JH??m-L z+ftu_RhhCxbush8gnWwj1l#o4iuUE`&%b&>adwZ2@_JG5T#ETTDOHby*xuC)rZ78H z&YPrdJ{b-=2O|}VPQ7%;jHXAnju~`^$~{SqS@bC&)aCZx>W&(W}YEVx9fOa=U=j9W(jL^b3qftp3ljoM-4gJcB^CvvOF= zFOw9!OJvizlDnw#mMIXEi6tX#S+JQ=eKa@lHyK(M!%>`ZSnIA{~9(F z^?3H^Pf7)_8EHQY8=waPI7n_@D`?{WRTr8b&WLYFUV{z(Cek2;q1>K;iPG6ZB(opt zCN9mHxcN~g6Xp+hLWgt7>co+E9;VkoB&rHWdBa2o)az4FP~^X}s&dp7;<7aDb>lH) z@I$}MN+SWX$I7dZb0gB?iYr6TGJ1B!q5#Fdtz}sge)|pfx)&?bR5Sot0<8|c4KSUR zc7ns_yh-2JIi@Ku_BXVqF^b&YNv=e|J9gX!x;FNn3I|r`G5N)>a2}rro7(r;VDcs> zC0LJI9qc~_ji)}?h!j*R=`5L!DOt__I;bts6A*-BJ0&VIzik=9AI>5j?Q*N6r`mq^ zEs)+p7~Gx+Yi8RNC%6CG8Kk)Ics;}LaD)sYtEdY1N0(b`?P)L z)m(=zU#D8p8k79nK?82!WP*=v0|!8EAbT&O0|wuvAd3{yxo~uoA2#-DQI&Qq4zxp_ zN^V5Lz65Xdj+4bqb=W$Zyi=to-emX`a_=6F*${J-z2Y>w;h0=^YfXlV_)(zw!J;rG z0{Livqlwg1m#=2|b3@95vM+tqI(7i})kHP<3H#OXU;DG8p=AAzrVfD+#(5I`OxT7l zvWT{EFgUm7Q?@E&-inO3@*{elr!wpc6S3;L0hTbsk!><%aQeyHqqbw~C&H$TZTNYj z%cOkFMus%U@z*vcf?q)wD(cxvAPFZ88P}SZ)hSplr-|J85CD)-I4Od*FkWDIBZRrV zMBlqD;C&O>dok`xI0Euywm21!&YAlqt?M@WryN58-zXcifof7B!`B=pf|KKy-Sy3s*7oBp531VCz)`d8E@GVmz1=04`n%R}p3vp_ zYWA}4?v+(N~z`r=iLZcAbta4qQIsc|k*v+W) z;5pg|C7fM8`FhBRXMs7qi1a;r@+uSSaGBOb=?X5B;my`0q+bx~4}0i;cV3I#*VaaRfE zKpMz06I=dG+N}3Q^nvz_2xGm}gEUfCc>|4!C~1H+k_-wtLX^h0SYuGQ<5F++O2(c# zDd?rb?rVj+siRbislr7aY_etDsRiD-z6QV0zgwZ@JcW&9DGIn`!9eyjvlqW;!H?N_ z=^+ZhHtrJ*#Bg%$-i-Z0S{o9@X#|rvvX~)0PDODzABnviUz+^3cS-t|7JN0B$5FOv zKJr?ypGmQsh0eW`dgH}CQk+^T5d+YDQA&4tDSWngC}cv3Dmt$aOa5Yeo6#3AYwl%0 z3+DOXBrl+a^7wLswsA(t+olHMA@L#%hdoB7NtUIXJ%O-q%OmCV)>#I*R zs7byV-n853(6OGv?Q&wsR=fm5&pOADg=+A2v*@I%N)-1p>QYg$m$4d}=&w^o@GkED z0tQx^NW^w3h_qIwQ}^^#&g|o<=IwoI)`4rt7~0CbgPUWY#*leW4L0$|cBUd7_vAU* zaQUl*?OSv%%&kY+%j_x0;DXs#3ca+`3`jLJwu6K3E1Va)&abv2w0zn6V6c8ObrueI zgcHAwk#NwXd9pC59ls6*%t<|AX~(3NMmhfm-AYQOO|9(Nfxh=LrcF-^+7XF}uVa`V z8EnEo&f5OqOHB7v+KAUfLwO)QZ=^yfktM@y>L*;-4nUJ~eqD{gr*It6bnmkNjr7>0 z6Nxt2qYeZC5Ot3`2zz1v!M8vYwd}Hm@|_2W3_Mrdl5fDO(Qk}*hU>nWac0xj?PL(h zdjV&V0lfiTFBpGwj|QO3b$a)=jcUtn@lZ5zyaI243KT$3Nhube)uIJ2&d$8ma4B?(3!+B-+%jK*sMx9fu*koH63xlLK%^8NB^!6~w z%$R?~^L9ag=xUZ5kWG!HO$9W9DCvYWf0Vb6_lMz$Gs#3y-M65#2)7mPUOIXj9<+V= zloGrHBlvO;Eq@cp$!GJl5z=vsY^RUAXP!T%xHn%7PBP&pJsuh;7+ADh!fn8=`u+vV zSpH63T(Iq84D*g~a(J4FCV}C7)_xD4?l5a?7_@6GpxM{F5t-c3HJ`nP^lblc+$}At z%KhW&9#rF@-=xDOe94u#?!|^%?zZ=;lUD&M3EFyi=#48`q_SG9c7FAm4Ddnyn=~p~ z2&({PSKpXDxONuN@sX%GoVD=!(^Zg6weYFeW!xOYm?onix%5qlGeOl&uMqGDCkMeR z$8d+Q6&U*Ltutd}6HEy3o*L8FQDBz*w}>!oi{r6q3ehkpXKJ#G^ueEr*y5R(@Cj?T z-q~q>p{Aq-!Q&z{tN{H;CTar67#L`V>gO!~?bzdg`ZMDYy3Yspvj5%Ch(IdQi6PQ) z(tmMzQvb1dnyqL19LSkN!O#}Kq3#Baynh%!{~-XO2tYwbNz0->5*GI2At)MV{_jjE z1M5*ZRR1O=gPW2Or3FJ##i&RpeMYjriIKr?=3%l=V3m%Gu?3$LB>SKkpe_yk!#bMd z%tGF=mp|k@P!j$n3aOa9#wbWO4djn-yk#1WCwN2s7nfr0g0gB8=`cg_U#kJRh!0;g{fawZOI(2e@Tu{DxVJgjbK-~kJ!su>au>^H42nAVEA{tl^!nH9 zf|Ce87CCRrAm;>$yErAF_xEbsYl32ww{ub_Fko-kAhfCfJ;1Zyz0cc}r-`7%XkwN( z&5SO;n&M%D!|VVd_yEr{-jt^+N?3CTw4Wr9j7%xING@feq#u(ScN|M=pdJ{D9t4CW z4ebvbQRS> z2?8^v#Q=!fc|g?+u*)Ie!`YY~Pz%1qa&$HN^13v1$*YV;8x?1b8y*_IkR5%j-a*# z^-dDu8>Z$=*t8@+B5nV5XT}02#cjFXTn=95Ag_0$`2hN>VQVazOxfE{n^J^HaVN3} z9H(aOSI_ahmqh)?@R3WNP(_Lnm5@9d>|k&LN$s#)2_*ytsrW?%0(K-IVuOUpvgZMm z(hOB0II?1ci7b2?kA}(S)gvD0rc<}2x%Rz51e4)}yJ#-B&i%1RW?8#4;7A69t34V^ z=wNgFqX5|Qe6xr3xqeU`b%ZnzoQ2pY4K`QxmKXd3$bw!}XnYBViJ&rnNVa}6^U=BL zUN?t*ergff?=(NJv=<-S^zy6v{7=?bs=*R8^@u(A0_!Ty3x+ii&CPzVa?H>V6^Q6p zJYgQPkCO)=Cyk6XZN=6=)G`?IHKrWNbdJh)&o59i~D(%kTM;S?pD*J}JGNw~*C4 zd^igRS{kWMp0smGHE9Jc9aML_fek&S0CMhhsOH!LKtn0!(|SRc@vz(@C7D``;ViCt z_nZ|a9$EAao&2#l9>RGF4l#NBsbSYIzbKwmSlT)grQsCZWuvJ?4I9DaB)qb_=;M{B zjn2o0?~=G{I>+!UPNg$C>FWW4Das2lh0jAo;yyt=snENE@|>*Njd&@JL^5m?&l?pT)DU+p5UG# zZE+#Sr|OPfCfyH;_(87Y6ZUj)`te6?1KST9?^Nu(p|^t&Gi>;wyXK*`b)cpDn^Mj7 z$utKqFL4(`(FsjfS*+ovD3bM=f`#>pdls|mRl9j>8?%W@ z#Hxi`3hYp;wY_5slfAVd1pv7V>}B;B-~}#|dbOKE@X1`-T1XKmL1uY05jr15wUWL! zL!_)8uVAmIr7#j5$#B$)z@w*_;{-QpkHp^1XAxk@#-8X0` z{>jI#zEHidO6q3J{YEup{AA0^!L%D2jf%@{O`-)59irs`-;Nob9P%i32XV9?mRs>` z-y)Sa&^s5Yb;PA6dH6JE*BlTzk)KE$wcL*lH|_FuJRLJvUC~`{zZq(6?N)7 z9<>b+5#r;eC0dH=hwg6E!fV>O*OG5+MeD7^4@qb!R>b@3=E6_nc*?4em}%A5xmQ1} z{gSK>dz$cB>jQJ8vB#lhc$rqDUCx3DMhk0G^zaYkXu`in!}ntuUd_pwO#X0@w{hE< zkqG8@Eu%m2fcb<}cCGV3r~e2SIT+~dSs!>yr#KyJC1_F{gMs$9o!)wPd_Z{~osb>R zJJ^9|c#eV|o=iP^+(%@{rfy5~DbEzwXD@(5uYEAeY7T>2;(UT=Im^SMD2r6EJiW68 z-ph|t2J&3{troOQE;}3Ww9)|pH=K4`f1@OY7+Rq`xS~*j^;MLsenO5(9_S$TIl;Di zH^K)irN>vW-=Vw~;xUs%B|rzi^WL;_Re8dYFN&Hp!DGqAqqM=GKOv-4!5Fh)Zr#>M z*t)8XP*g4hTWJ_`$`p+U*e}UDS#@P(rQr4Y%}xtPirgcEh)h$mf6^Z4#>Ff@!ba|J zW(z~jH z?SY%U4M_Wxse0kVyh<&0xiAbJ{=#?RZ&#)nK9$%Ji>4aW(|?tSkee7RQvx znXd^{SAn*0D8NNO9GvI6guSNgRIIo@nOs<{ob#z+M77&btY#j>{%=KZ&LMABztbF zucBZkUsv$VXr#F0{BsENmEhdOwO1=#$=43$#xw48!Bh13;t6}q7P^_IL;?TEB__ah zlpKmB?sHu%@^TytQed%Wfl)Vm59t^96YO7)665>AlJ3K^5B-pJ>aKWwUIwT(=yc$o zLnUA{(*#|T)}|Tnx~Z=@yD_+Ve07;u$P*HzJqFbj@b=W^d{OytZ-&V^|Bkx#twjwE z3g&(M4qU1kehle&l$3J z7Ru1#9Yn}>k*cZ6xD6d0z{P<#!@435n;xA$J+bUH)kyUCiGwrmJLd<76_0IaKAJ9x z2d3qBFi52N=&CqICEx&~y*W<)oRBS9KkLnybHm;t(c1#>jl)Xedw{S=CnyRbq2)yL z;C+bMV3f7nSk$pDEpXM1Vx@T?y**9_d=IqcJ>QC;_yl768%XCr$O@M37y}cE?@#ep z;CQ*Ye!P@%OQ12=RmEs~!=D;`|8={G<1#_ES-!W4Sn(2$Q-|apuQLQ|LO%!Lc`v%= zL7Uq9%kt7>7*csXmqALx3!5tdlRD-@+*rHyP2Ggf92A@Fcc!5a6vvZrW`-^ny6kXs zVvuYSNCmaD1_1|MdDI^Y%fNgXDk~o*U6K;5`P$>}i&<4l@^l7T?~JrtehfNkbgbpw zsq(rSIFo?e$n}=0mtH90jgSYhV{keJZMz(V6E!)rS06)*Swja4q*YSynfwlFGjV~q z3aki8Q!wa0pYSvc)ygm4-snbD4s@Y+I?y^%`;Na!uQ)C-Fh+ui-UtW@+w4AOGN^O7 z5Y27L*gzBr6uxoUW#>x1ij41W@T+}Vm?|0FTLkR?5!S^r+tQSi_6)_6=d zf@0xSyI1yAs+HiT5dBM1Girtz-yhauerB;UtKW&gq?aH{$!!CPWgEt*oAGx zwi}yCvf45Jm$WwHZ5ezT@*Jj2(_@<$QVS;Vlggg@=>%XTwhB61R+HK_Qu6OAmy?F% z8;e7&kV@^hkXNWtdtG3A??$7_SUL>nW6iV8$CyuSpaX+G=_5UlRA#37B9W*2B0&KS zZ7JEq?G{MlOAS((_iP-^=Vu<*y61%XFgZbI+?#dlAN)hsVcnd7dZWV5Bfe|1r}wypy`S2cV3T-Oe5=`_1DMe zQ-wVH_{sG>t-GS!vi4=ZeXn#P1TBg>5e|=@pZ0;IpLASj`6l7Rcl*_$12B2meXc1Q z1as#%seoQJd~VS=tBah=+iD`Cjo^UkiNab63q&g24BPxMXM>Nti*^b7No3mZD}I@b zHe#6{_M|qio48(l&3D^C+2UXuLvJ`lv{VR@ll@bV&odK!)%IHHn8&=-qxbq9y}`*t zN0?d^hS}Cx>{-5?XzSS0!btaX=VW_p9vj_oG*))WF7YHVa?f|w^*DpffkvY4pc-QZ znh}^mX&s2;4zt1{3E#gdUGJf%x|XY<_}0Wo=9Vq%u5}v>PgWZjCX&HWSIt(h_W+{3 zTe=(HGZ*1U(owkx&bYo|%#d<<%pAA*eSm4A($}4ncuhn2{Z(L<-V@o(eQzBWDkYmu zC}@;u1P6I_@5}_Qq9?U4=%`Z`?Gf4q!P zgRMi7NsdfS=%u~>CH9ZZeBPw;!!ORb0Xi#>-1R^M7lB%AzN`vNe7^s!b9w3cxtY4+ zx-sCx!hNclRouj5H&}E=I)`5#t|e2DToVUfE^g*{<7Kxkc6SW@F0r{}ofpHzptysT zlQs5VNI;7khrkgw`q|B!FF%%Pe(_;N{euv_+0cOYz#E1=Q| zCj3ifPp!->SRzjz4X+G-DJjB<7{j!`DHb!V&D>hroq%?j!R*iz^jb@(7ZL82`b0hy zW%3)R7z;atsrr3mb7e~My{rutiW)fR6#U!id-K9su3e1wV7H5?F;g;38ysmf+q@+X zU5I!BwoB-6qj*?b&MYdScbR%8$@Q!oskVDEnDh`9lt&{+si-Ou8V5guNl@ZB^e)73 zdOVKSk2i!b1-e|E+Tkn$An~s3zbQwKmT9&AiKe#&lHZ`+Rmf2Ht>k!H4!xp`J*m|D zwQ+UzplUDE%5cN+2$&>!!aBa4>$>G?#2e;a*~(LWRV9x^r&P1f{B(j2i;LZ*v|W632wTPxr!*m$Yuoy$65^d2BdZ(F;?>-RHP2W;1_;kvh}w-$2UhlXZBkv_LfjB)nHP z{;1SuF9n|Aa58y$E0HZhGBN)dW=Fre@Nmpow$Xm!VwZB@b>e}{aGeP#YLmE<4ei|tX}+#zsv+!83GxTOtajR zx2kWBnV~cn&rZhpVuD!&c*-qN^ad zWudD9E}AyGqPeXzq|Mb$5qx#_J5sM zoo0xK#8#}=365Nk-2h-!bJs{S4f-CgLo(h48Ngo=sK<9ALp_{dyVbo)9bR*JRpqH8z)?(4aEm( zdzTlU#UgNcERhH=lR5CYl@H(*UI=n$`TfYg18pBb4=l(GZcQrUFxr_kzj%(HBqAsp z@YR>dQ>h_pfRk(yVR5D6a$wCo(684JjL4||(w?L#H?K^cVcOKpKDHb~F&(an|czb+3`3O_P|_CB|i%*-7)Cz~pP-H>~x+F0`k~ ze1vvcHl%@a^x&bCaN|;R|JhJz%yys<>eg0zD@P4`z;ogAUUm9Ah9)c?8j9&VR{9t7 z3${`oADXayRTpdbDK|iSgeuohB+GzfKQt!IPL25Y8f{$W+e~sBi{#(#PmPj`T_}G# z;4)ALD)N{N1!7o5xHAT99s3g>eqDK4Xc$BlqCCrzLVyJhA5_ZNBplBj5_zgj&jG>j zX?2g`h<(Fif>iNu5SO+?bo3DU=>I1nu+Mrefb-JYbA)}+#I=LQn zTc4OrYyD`4kI$e)R_!_8t)8RqPA2`i4SqbmLC)u*3&9B8_5|9obVIERRw*3(*626m z$p~CF58zEAe>ad8GX}j{x~=r?KXQVU!ejm_UtTBWJZ1-rA6Z1_ry^ACZ3-bBz}bZ) zHkis0^aQ@6ROhiV_qRkeZH80pqAzI6|1Tsl_CJ-_{_8utw-X3LTtS7m=sQh- z(trPsE@SmD$da{EqQBb+ZApQKUUgEFKd!-|q@+k5FwP`cN9pLmZvKNg{fBvynIu|* zB!i!XNIYzUTQ+Z3`RGi_cau@t@1T5lX^UN6WwPEMHRDzHz%Y~}5Bp3+n2AkeNaLH7 zRDpio7@m&t8SgctKKUYaXEaDb=x%x@vR;AfnKHo>?oP{fWA=ngm1GnM_J#iMvrV&l z61f;rm^A$a`wRR*KJ}`Phd^m;Fz2dq1&kA!dw+qBzTwAnk+(^+x{V~Cc$j2H%Jg`k z2KULLIDCPTB8UHh)7At`Q5d010K$55ldzs+{=^Xz3N(4Yut^Q9q%F7s*jN9hbN64X z`#-)F3;zG0HF(UI!I1xB{ABh$WhwRPsh9lPCcgv@{Zb{aRwzsEL)NYSkP_!0gRhKySM#8lp%abs0Z`ykWf0q z9c8q2{a^(2*xOQNn!X=?-6w~+J**0MhC+_HJwYcd=~y>mbGwe<>zMs02(bBZRtcnh z=0QqYXs0Bqm}i>1^*8CZLT%TPWUJPPg-I5E=KvC%cEojLpY#c%(>JDXp82~&Mr`EQ z%(}B-)x@`dQ{e4G8*1)vJ!)6Q&9maSopyTNEJWJXz9+9enXQ=_V24%O?>%6B9qET3 z4wl;|dJ*BwRkiCZ*l%`h@Xy;62IEToSmqBr;B`k(HZNylUmBz7au)GMie&g@P|M3&$sw5t9P|u7E$+)nROg(}pZ5I=eU0N8s9trWCkLRd zVFg!duC>`+iQ{?!sDpl`uHYNujc$aWRD>0<75U>GBXem}^;MBdxGVd2%4Q+kJr)N{ zb74lm&4OVM)*{)Pl6O)NJcE^`!z9k!vYWO3m=f*3FYwYpXhn=NhX_ieW1=IxMqt2Z zG@-RKQ$JQjaiHN~=rvy|u>k}x)@1_(f*Ct|qIi#^nhMtPFHwSK{yX&~xfQ-_|4}U_ zGJ6yD@Vg=?ORBqwn%%?z?VOCH7sowE3aZ=##)zld2teMfi`5Q>*!?6o6>;H51&kBv z{Yo+%K;N?;*_9?-J31ot-f4EDnO~9RX6Qq;B3=M`hSN)l=uvId(IW>7ow6^wn*37w zdlRMwObu4+JtPN+4^cuGZUz%0nqmE?oalui^V9q{3FtXn}T$H{2{hc2lAQ4nXuAS_)l=AQ)`(iK+ zhjb;`nXod?8B-R;dFd*&MxrQ^lSr+MpG4+gQ6x$tuSnR>@)dbh`AU3NU)^V4GIS? zQZ2%d|2rx0(sGsqWGyaLfVLp}gfuumMf@^oRQS18PKEtM7Sz+!)e>hUl@2n3f8nJnIbCDcg5@+dvPh;aXP|dkzvm* zAK0+~^BkBGC$N*0sY>Ort$X}A^(?4;#{Ps}T$4s^NAF}oQbPL*uF7TNSqz#Yy3{;k zzxr;6Z|wnYZO?P#U|wKR3u=(0)yy}uO1#>l{WUcd>3;N;i9ErqRXKoD-M(Y;s3XP> zzK)!94VoOz;`ad-_H`Ez69ajsl9*T^2axY3uV1aO=nG?V;uKs822Gqw!Ony8Q6MF#RlI6G6kNmPbfV_8GJO;_dwwhjN@{= zwVj1jK{U=h?TWg+8y4l9rI4qwPpL>TIP?k5;LC;sLmsCLl=(4-&W~;(IiD~-v0!uA z<6?OIx8smjuR)*vNyyEV1xHBRQ^=f<8|9fq%%UA!Y2X7R+NuUwG98@OIhHL&iNgf z`u&JW!OZ~pPim)UM^*UXwTuNyL`SmWjuaIwfbH>GK>iy!Ets9;vDDvQ_R{C>$Kh%h ztoQyJ7K^Ns3`juugYYB+sz<&Z$)|2=Tw3Y*5&UOnnlMh^lrLHQUl)j7Ox6AN!hkC1K|hjd9jypISdw7&>mKwtHUMH6!Q1 z$794FiHS2&NW(_9g;_@RMu}-BlDv&6=OF=g-S<0i`-yDO zeHkFIhZrFF-~pdqh_g=g`TI9p=$c*(m2C^HiIXVzqY(IZ@2a)Lt_b8e?zvHXx4 zVNr3)8zyRV$#m=D>ZJ{BTZLVmJSbA-*^;ZYAs35)Z)(4p`!=*=nKlHxXR~Yz%8bjk zu*@c+aywBj!n%QD@cOsuvmrQckP)j9)e9+rTqtC${F#zhv8m1Ee9Dvi14bH@ul5); zt>a%8O+J}xm9 zjJM9j9#l>ei)*YmWBc+Vo#8TBRSD#_#=&yVNky}gzqUHwG9y0y#S>AG=it7Sx<%Zc z17BJ=sL}Tv7Mr&TY;gqLnHvI^tXPpj(9z(c`7PJ3Oj$*X zs|1AlBIzHgPOyk`ulSmhH%cl9zw-squFz=CWczNUFTZDT2*^D1;d`)BKJI zN;35na(hn_l2Eaj_5C{!iF^s{K;xBPB?o^2y2C*ufEo=R&Nq3GqJ3+Beg7SIEYsMs z`|O0Pry^XDW6q#j3N`adk1f~9U%Z$C+M;pi4oy}&wd_uLi}dHeDOD>XArUFO=lvxk zX~J$l0|SKaNQPTI2)<_+LiU^H@(Q4-&<+vkDL^oR`LAb~9|~dDT$Jk8?+A8LhgQ3_ zgqNz223HW;k_X~&UOy~K+zaXAp=~dF)5H}UuCRZmin(=Kv~6oMTAObi55Meocmel! zitC@4!S4iI{WV}b#vVls5(p%XNlPMKH|pLifr9hgYEg@jO!LQDq7TH9mw4U!{YmpW z9P|quFVwm`d^P6&8uF4BTp`LH^&9eh!vCbe)pzDb%Mmio*m6`6e(J!}U#O25+L7aJtUg%$=*F&VZC_u9D0xiA`kU5M_UC|?{yJo`;AMGR)`(9kYY2*lmLQa&FTcBanHGiF&~Q-2l8rFH#3(&HY!L{N(LPF%&0Md``4d6e!_`?R$)JV zfCS=>kS1rUb$UZ$?9ON3Jb3g`NX_W^E}AUOz60;vR0OC>4cxtZtjs>N1nprRp$gqD zS+Aq&Ka;RC;2NNjSmE*M0rP6C+?H^AKD>fN&m;(ynZg^@lpEdd4F+B_B&-{^R*}xh z14s07Xg3F&GU~As5#dWqhU#VfxSKigL|gR!ZHzgQ&TmNcfUtzw!DWWb}O6LY|$INAppe$d3RbGm65HR`T2NyIbay zgOQMAPFrS)!^l$+o9lqF8!Y=Q2WAc*Z0)NK8$}A4`pqR#%!6BzY&wMFM^IyC{ux}A z5L>TYTLH*Z)x3D0BlCMyFu(dZW7}0=rW`b`(3w7W#to{TBSTtR^FXYM8-=eOYL$yJ zk?^L@v)}E_v%QrJDGa0wia3>;zdcUV9$@bwo*J(DT$VCrKMk;5A(=8t`XkH>7Eb;{ z1(J-#AT9+j)`%Bjr_oWnV1Iz z`BnWBS!axQqGfBy^WzqePR{k^Zv?`xeJ>`vyPj1Q=MD}7T91Kdg*4 zN($}xt99$f6}40~ExlO51)o(Ac<1?IINY)t%>5K)bI7hlKFk;PN$ZmVM_x}RL<@|i zW0NM>e*SqQJ1l(KG7q?`2hjdn0JPp0SGcA6N%V?w?38oEWVHA(<)^Z=Sv|&OZ}$O1 z6&qZvEzHFXM6vF+xvX_I>n_P~ns-eVo^>eYDr~$F9hq`*!iY`=^X8|#(*}2|8W(K4 z8cTPA4j%O1NAtX9aj$?dTEyV2nYChLb2lM0iDs;a%B#YT%zF*3{g1*UR&nFeSZgv0 zkU^tgJGTbxA}^EJ_O2t82eiTUe%M1$9v-u<+KLP`EGIZdjCGdt1v3`kC(y!^>+ z5U|Y5h=ugOc*XWe(^I6Cz0(NoU(tq}*~GQ)DkNZ*TMs)a1LhaXq^Xq&!!Yl3-LWA% z^3kd^uv-co+zl0meI;77OnI`7vigm-W8L|==>*#|F9uLoSl3#agF%+FJ87O``4w^% z1oJ`(T!uvq<8fKZXoJPq!QpXwfkEO!8)2K|4j>Q7~T z9im#U!xda;JYuz@5RuCip}?XrkUN4Y9;?VzdnIHE1iFk_K===twIy|ga^vtSwy=XV z5^>;&%M)D99}`N)(*)hicN4=9?%^p<`6iy2@j8OCE&RZRRm12Xgf7>z?}#t-xmLcO zXLfJq^{Xm0kv3S)0Az*<5F&Qi937!dm~vu`XN|SV!wh~OaA)45FQwxNAYs^kbGna6r2W7X7Jjz?8jf@^+NJ>VD;x z+Xc(+N)$dIEhUZ(WBx^}=^i=DRKvdGi)b11%-(;td6(VL>Xtkn3EBvr` zA|+_QM8-NpUb5j&o~?y_e7%V;%ZYAGnmH2@_5dstwt5jnKi5Hjf>RdL=MFvIEvTWt zo8dWVa&c-+4Q%#LpjCtKQ|y_>$R&{r-kxPu44gwn_lju4#=N#19fUR8bO118-9UL= zPm|L|mE6RH6LpleHNUF5P>)bHPXe!2{i45LfG}@MkBymspBzGk^D0{KmM{6!y^h83 z&f1_>s6UoJbs+&+l`FJV(?R(kriIxOskm?j*jXGtokotFNvwqpP5T*6V1hje_AiWc zYthxZmKd_>Sh%3z^GM{f)}(L5`0p221K?szi2n_GHnbs0k1NL z`hl>{q8u!Q9AIj&^Cg=>r)N@?rvEPv?_U99Qa*ZvS4bs%o_-R|rFckd0<*l4kNW$; zR+2vCJz0T*%#HWDaeDHZLvf* z!(}iIO8=<6L*Z{0BiLf+}dSAV^sCupe!IPm;^3`%0oqqIyf!!>y2X#hXBuL}yTb zd$PJl6>RtL)fWlYRm5v|*h0)tz^7Sc`S*L$yrl|Hq?Zzlc|)51^nfWPa9AbpNfsV& z*#DpQJ@(tU^@yAYala^Rag)gLmw9IM%x5Y34eKcX03iRzh|m87TKr#1uSF9epfR74 zINxnppDgByK(@X+V8);P0;sKv-Si_sf=4=#WEH?lW72dcDYykk1ROl39+^xa;5ou@ z7sIYp#8867!{9lD)-u#YE6fYQAQMdTxFbw=q)R4}6nqYtvTn@96F7R468I04^&dZO z>X)xAR9vRPXoCS!=Z{+=mFv-gI+6oqm(bs46UrPFwVl5Jgvr}IXIRdq*zNqx3oEeA zAMf`cBTeRtNIq;-=o@)k{*m<0Xwp=WEB^Aho?oVtVt z{L7O>Zht>C2JQt=pSNJpnyxKTzjjyht1Bt1FvL*70~;Q}RfSUV8VvBJr@Y7*=IIZ3 zIQ_mefs-XJbeE(SoUb@SNq{@1uSxfilvO|g+cV>Dirt?1X72M@d7<{3m{@j^fiFvK zk%9c*RKe`#VNzL};WmE;3&KZQEdQZK*pwy|xlq#H-8p`;MoyNKm${++qlp$Z`4g_D zE0eS!lUDEaOJrLY$*e6fZl4YcU)}p5FS7mue889y)}3STr2|J?=Ec1{9oAQVLZ>5q zi5Zl%bloBc(`8%{vrlBsB`b6_8Eu1udR?oNlIjBh$oYXx+{ ztVN*qJYL6Yz=YkgFkoIzEb%Xs!8s^zpXwWrzGpZ44W1O1j+7ZICyWe6=bV2w`9R*x zEvbPuDQ{AWMxGJq?DT-I6q}A1fxd7IRkV>@e!&mV@+Z7pV{DeHoic(Wed`x(+bJfp z72Am$CsQlcBHPX++eu1BagDJk3?q)>F_G;3NwciR^T-SAYN&(mK%_cjB+?b=DIaa` zQ+<-%AE{)x;r4YxHyBPpz{@N3o*l5@QO&~xu1&lpRA>Ik&v-GpcHD{EWAAwQeb>Xu ztVfT~hu`jKa^6Vpa>6qNnVan&YjV&H7TkD3}h z1rlf}5h$WR?M*oGCV!lVfZ-mFs9M3S^Hr%K9JvUJg>>57p5%8yyJ24KhcBq2y$>t^ z{dbBuk)v0&hGAG1`1(PiD%J04gLnJ@AF8(3qf}5}Cbz?DsGiF7 zOi>czR%ADpk`Bd>N@S`kg;WhqGlGJn-RvX>6fFKA8T-{VMIh`>t!|QlZ{m~U1?ZSi zNR{ED774?iO0Q~WO>P)-AZJdEDHZa60E1>-Jk{DoV<}6#`H6z!I$4cfv?X6}RO>CE zKe2`FOJ@aMGBzVo!UiqvGz_SJoxyB}Hw_E(gP%kt;TLFdm{!`d@&qkfx8zkf^$-t_ zqlIyk;qpE*vAhx^SE`>|h@4Yl@ZmbFczlazL1vF0!_>D@Y~dzlR_n>o{Bbo)Do%HX z9;uMDGdzLz1x?D57LGq8aX(TnUDq=*fZh*EEpW;63UkY3Bfy=K>~B^9uM_QK!#zp^ zB18kade3d)3QEyTAkNtb!Dd6A!uLl zYU~!nx2}$o^+?oSz5eLr-zk4FpQ?h568ZtW9|iv~HFBYA@}C#1&4bU-h)rqB=MXPD zVvvGcQ5v0BzU8cR2Vf`Pd)Ks@18+A$N6(4PH(#+vu3|k5wow-Jg9JFC&Lbug6PzO~ z_O%~@j_E#|G}$sw`*?mo5p|CGCuM=>n>2`SgmT&%dV)r&Ah=-`6h~w}V&H>X_Y6N^ zn8{#g%}QQL;djM6)%EwEfjQptnOc#%GiC%ZgDj zK}mR#%J08+F%)^oS08#Q0(pTLE88~Y7=K@3pfz-O)h?Ju^sieXjHeBzT;iLy4*ZX!iX9WPI4@3|g+ zwO4z*c46@!93H_DwK|u=ldOQ;0c$#p(zrJxER08q^IU2(+io;?Nc?dZjT(-Zwt0*#zEk2E#DI7=+=*- z^haj+da@0(b*=KmV}>_Ba4K>Am~wpwGlD)H9JPHVHh%=3I~eq(nkQc;b44Yz?G2Xqw~1TCTie8f zaH|c(@8|)>Qn-2iQo!-~VJjLQrKJ^>%+LpTS8m*TD0|Ws`t#}ceoGz%!<_)`d-@UX zUx&1OkOObl4Omd(!|wgD=8v*q=hkcYQ{J4ifGm1iJK9u)Lxq`)cP4pjd9tik9WLmN zHJ&A4JJSVMI#ki|G5O}J+Gn$nSnCb18YA_ixI12{?^p)*Cn7)m?rzdhVTT*9^-e9zMf&UcY(w4*r1yo z;PdARR<1%C#BP~;vZfd)(2;PkY~$n^ zL<1!!Fge_dYsmK`Kw4)~3q}W@yO@p6HU1R8&(C-G>qAEt&YW>CHaJx2lnjfV2jyYE z_Ij^>{70`Dlwu0|dF&h((qCBB)brd#20ZOg=Pw&%nFaV~ehRy-MW^C(oickaU;B7u zpeLEW;+<9}>BaUvmXgf#x&nL*@TSQ0s&6EmqUDW+9xL3Mm%ec#K76y|db=IpeaCn+GkrSq$kf^UM#$Kk-{EehLOd`m3kx{dn~L zfhW1J+2Ez-MMR;v#dSV3 zMezN-wyhp_{Bzt_G@@X$NAlrjqP6Wr-_RQNg;;da7JIA#;$wL_kdh7L_T%)+pphQv zc;Whx>}}?o5kg3mQAvS)PI|yN`L&jBv*uMi4bSeNc3-4d$a26+y>{9S$;iik=vzXh zl!=8OH1<#>AKn)*bK1=krROU$#dvoa$ODQ`FGOd*(p`^%uEeEHyP|qnTj-mYH$cZS zF@EvEHAR+rxvvAgq_GsoOlDP_4r!I3uRkb=b*GSTxW#o=%el<_noj?92V{u0aWPC2OiFc4b4wHej%lYPqw&zpamavH|o4#kxts0Os~WVTS5ZF>$BogIWKU_?5awBS*u1Dd^S$OWEYVVV3&$F{ zc@ow5{IOM!pIn(a5Vu4hcG&y?&){FlqkV>TkdT#>ohzFngB-F#=K|+h-)7=-G=20> z(9F=*N0=Lf!pXwbFpHli3x&J1S4}K5#%SnW7rsuSIi7J3q~Q-z-eeu%wV)4ywPqL8R3cSVqwLEu+6v-4JZ!D#sp@BP->(f2(jPwu%BS|9IttElh7s2=Hl$zjRN+Ty#^sT+5!1fg-3Jy%mcd<6<#_Xr1UTTx*%zXlx zqT6IXy}im7Nwm3SRJM`HxS3#Nr)7{@8Kn(n49-@;UNLE%)rxFsvYeQFv$#&$VgQix zB+_nd-vDfMdX!&VX$CuJh_bI=w$P;prb2FH;Axs6UIfA>xJ zQqraA-HxZ#)Prv)j~_K=h-*> zRuj<1^&k9JYwOP;jx&ZSQv{Q)1r_UVMM_QpT{jF7*tc&oQ&i4ACEd$Zzl5vKABQ_6 z7AO`FwI=({4!+!d)~#cIWIL!NwfLVx^8H8aKvsWQ)y(+D@AiO2{Vh7C(eb+CM_&Jn z670hL(J`uye8R*tPnN8v;c?ALFb;Gxjfbn$AWoe{)9VJJ1qD0l$(F~)o!hdOj2lF| zMfIoHov6gXxxMHUUsMGT-)`h<=!Zd{O8>HIXbiRlw&A zfR2L``NdA!NDY#B$OX!aJEu@OfM}1y3+R{S`VnxV0(%-H5nP3p zJ4fN!3n1$M%oNdnfF4XSOeV^d=wFQSu!tZ3reL#tyR^6g$TRyttoU^xW21E-ahQxt z)AB|~dKdHZ@yQWp`>u=uXY$~8SSG>N)%!;A*PmNtaqWx~Loe@US?Jo44AfnM`3Bfk z1qET8CK?!QOVkz`Bl)4_^eZI|5*#aBbAn zqy=rBZ}^TI$XcbstQlnBU1>2!%_@i7F zcp3XBBn$9i13&sXsD+dg@7@c#0ipMU^h&@N^M(`wlS6YownHZcJE%@37L}6W!{Yvu z!iMoJCmaNGf{oam19%R3Wr32A2(BdsmJq8_y;1oi1n}dBv&s(+_0U z6I!qxNd-STP=EyjWFq^7JL0}RVPvfAKV%Lc@|;P z`LeyW;uNwl6p;CiKw$>!mAn=qboCDX+I(^^B=vb6fd+3pk-KIT9Y1z|+Qu*T(>A%r zG?IrDCJvuFMwR{?FwN7z$n9~g3ODc#ab&5yUjl>^(G;J#e?(fo1=zcc?39umpH%*` z(cMXQ>eYEM$CtT0td+gkF9&4Q(IBPg5P`rX_B>@{l9 zFd8SjM?wE?B+Xj`V}OytWHO$ielih&KMILJD(5v2KH!-?4%QX7G&Gpga$&$p078u5 z(Xtv`Wi5KmD*-?-O|V#e7(l^0UHX7n0(j`Y|27@;-|&e4J|6V{`WA~Po(13q1a3Y5 zyU3hnWF!-SSb${y(@iH}dM_paAALEee;(z({^MMig4@E+ygp2*627AtD9K;2mF`GP zS&uLo1zx!KD?oSt&(WJ5n1^pT;9LC$(n}Fwl|RXvQYTg+_D_`~3>knz{|qZl4r~!) zdMS&C=@E0KfRA7hfD0LwvWnDkMOewk`&?%B zC<$TH;cFCraFd(RorGJX$>kqqUv!LBBE72Rk2N-y@*HpmNX`1B)sf2VX z<>>NwZcxAlBMN0Vb8W7*Im11Xs13n8_^J*G397ftghu}eO2`S{z~Z`$P<9S&1SRIb z>538$*)6gN-Ctl6_1O_mPwjy^1?m2vF8>9!(?}_c zC~u3b8d;J`fd$q=UiKrIZyLt#c%vlK$P&mfJ-;3Ti%*TP^b?nrKk2KxXZ*g41AU7- z@7|+@?#5qy3Cl45X7haq(syNosW?<$3!yEdkr?6(`D0@zfZN-Zc!+@t?Dk`LkSKAS zdD1rzcUhen20qaAmrbh^7?E_ZzNf;!DIq@xO!a)zPcz)r+y5iiyFE%YtfNpO%$ZAM zhxErrGHXtf(3UFF3iW;CyiCr5z7^cv!C5!YI3Kn=o%{Yj2zvS{CuxtLT$lNHD_ zD9nZX(Wh=;SNMQT*Rm8abMzyy6q3M8NG+%-*S$tO zn1pk733>}5V$9~$Ou9C~PvZGjiIiP&ugt-2PZ(hN>LZeBZQgi{aCx2zwUS{!Aa5IZW%K1A(crrUw$-RTUD$XC5-*P_mYaZKa&g2v_Z;4fkJ0MB%vQQyKjV zsGF*7ot~;%L$Fw*(h~<=+DgjokQZ2H&#P|ODSe3vFhoTYj0Vh2_r+_b>8c{}AsCwH zSGkJ|(54wX&C1b86Vlupv`b^{=Z7jJI17wthi(y@Xl)t_MB~P>VSW- zs#Y3(xP1rE=%prk1rWV1`UI->nKD#!z&dQbIyoJ-$U>yQpRe)_x2EKJ1RCFWa}AM+ zJP`~R9S2@cdNfv}t-@5GU4rTp5iK5ABK?>&zEi#52ofABaZ$G-=LGE%<=^j>Pi? zBy`UK|EuCU&$Ll+T=7rTDK64?JewL+tXM!ByrDu>UU+?=9;~|EPx!Ss1VweDci@3& zDuuS_VKh%v#D#2JkHmcwr@jRVCIx>TWn#)aaLkJ{_@xJn>Q!hy%@eZ1t9G9QW`0wl zBvaGSKNQ9s7EP`7(maQQFr5dYK?w_!lHwe4^2BIOFgHu!0png1c>z{9O;rB zK4@~-BQtSCRJCX8QNJtuo~kM?v#*fV+WwRLhg_yCKcCvj8+B$pKQVg8xN_8;QBj=X z@Ae!U4mmU}*peT`iMoltakgR0CA+IWaExkDOVVEYtdI<%g7#s-;KMPdK@gX+mcXdiPMKQ)`pa z1)>ZhX=S#Q3h`CtaJyR$^Zs0^Q{70DuV3zW2M6RkYV1oLb6+{I?Bij+;j|E|qU2kN zg#)6BtkBtIDT>WiaoOYzVWb8oSd3<)>ntbTdR%icLV@4D_6QT;IyDZxhV3~#h{^fA z`S#~;wurYmme_nPT2Ixu>m>(GdOklIf68rn)J2q(ghjnxe3tTk&12UzackHP+CX`P zlgU4)qzdi;9?1O*#Z~QO)VT)Bv!f;3S$Rhg#p2*YFsYU`V`08LoB6Pn$Ob4Og&YG9 zGW|pSneMv}1$G#uagEGsY)@0kR!ZeTr$?bT&M#!QK-!xDg{l^fESDezcvXpc-m~M< zx_O`xLQUU8@*+*jvcPn;Te8HVZ9Ax?*eI`7WRu(UTK;hV2O`;PL@ofO(*sUNdOWVMpGpKdX!y9>%Cn1#QGw1hP_Q3f?jF*KFbw8Tek)Wg`2Nvx zR@Ek~|8Dn#GEZ9TSLjXjnws!c#lND&eD$(7oona=v6cw~Ju2kAfbi#}lRt>s6NbUO z^HmjpUR*kR{fbyw9qdwYL;;0#w8ud!F`SlR-oQqbP^Z%lfrW*#k)L5X4eB z^AIQtJ3~5b54h9pR8RiEdjZ(5LN$R(rHZdm!A($>N;bratCIbLEW3AFepi;g@8yA5 z7v`{Dwrp$>xG;4qJ@`9k`D3#KrUcr*Om~YlUan{z$v}_3mcKJD^PF#V&8ymK#L5H z_(uTig2~#gf93LC-J9ya?Cs;TkUywz^+;%%iAHA}Bg%`sEUx1n>Eg&rSrE9$2Ojea-w?zEARJxcK5TT4PalcIdrF%|}2`;#<|HWMYy|JH(>Nnfn`s1}Yxk zhp4B_@&b59bL;hK5G%J@zx9=ieavF8MH+%nNPi`2ElzO&F#yWCaqZ=7Xs*ayHt5$a zGu}Q5e|dx+1R9<2-mqM&9H^(rYvcjn(Dtnv67bqrEFFfsQW9AfqrZH-)`N1@=~u<}9y^i{OXIgt-QU@ff+tu1O+aNFF_zFC@2c4h(72d_R& z>&f^G!=^d_0XjOYKn!yLJ5;AL*r+s1&1(D7x9f#b-=H^MfybP#%;-1mxv=GERTED? ztTZI8ps>@7%i{aQFT$)uk0;poHF=bX@(y47IO#MyWgB%gYb&JX`Pq`uOz5n7x0>PQ z?0<`ThMiAqTsM5){jy{uG>wgJU?cu#5u41@L&F&DYlrN18(*>v{t&(rFar`#;Fen{ z$u)^rs$?y*7lXZbr$nE}@A3eS!=`S(y2dlRQ);Hx3UmFz!wt6Pl%_T!=-aO;F-MN? z@OzY^gEk;qOLg$a8XpL4WhPBq#{-k<9MQg;DK#f`G;N^Fk9#^q=QFp(D1f5;}ehFHPp z{?{iO#y)Wg3!O@HuTwdlMAX%!f2CUM@OqKI5R6aAK(%Krtp(aU83Is0h!U54er|2H zc{7ZeGCF{8lmLMSl4d@}=xWhE%O5vLTgu;`QU{}TR!o(|Gc0GwcUbJ#FsAOQ)8&=J zATjEh4(aL`+8OE7k-;^TDRnx$28(sWpM27fYTs%Ie+rC|&keelK5#-(b=J)XHSAJ0 z6($@*CQ?o`Ge_~3-7pje!X4Qov@meknUmxIUIRv9M=kguktB*r&6PrL({_+2oNBUgoGq}?|yfBe!uT~-}j&Qo35+Zx!NNdv-k7d(^~ghjsZSPC?ihHJf@wz zBT?GHB3D3sXM zO{<_{lS>IBcCVl~M=ef3K8EydGwy{Iy&H?_c|&-aL1yhKG$w`jZQZ?2>u2nm+8_9T&2rchKWY0g7XUptsnj?{8!;`35H1W@lO%H_W;Ny%=J5 zW=2-G7n{3UNnEVn504SpDN1=iekO;n5N?jag|A*ekjW@k$sc@jKG+6myw#Q0Y*j2EDbLOl*8lVqfOE1 znNeX@?;~F}i88JTKiT#Bs^vy_w=Xo9(=G6i8TB;mjI!!^20h}kS^kWDv->F5N6hhC z$U20Cez_imDIbVLdT3!_`Vg`_0Z_5rsVDD72?{vR-F<1l zS5kK0X@aS&M{^)_F$HwAyGQm9A@|ZX2l34HoyLMr>?w;DT1194b8;>sKh~BAgHM4v zr0>GN=%4iG@Z^Re5SGcGOBs=}3{`L2fhG8&#W{_ThO|mDPO_n4�$&4a?iLSo9u3 zVuaF89`S~_gJeQ)vj$5uh%{fq^0a-eIIGPpuR9TS25~tRw&`bv@h}PNi&|4cWZm&j zuJifz-RGQwKob$w$U&oP_>4qqi_D2#q31PcVr=Rr^5%e_AG&dZEv52_`sxNO!Q5M| z&t7j)ae|NJ=qQY;xR5zsSQT@54SI-QL(7DYrZmV(dW_L*{Ak?7F#$%Fqu_N6(MwO= zrOXo53>p_3MH)HuYQ#;W6V@QsZX9zUW%tB>7*+u}h}KPmVIKc_U8rbNw$rFlt)p1U z0R0uvL>9-zfG<>zyh@WhI<^Vt7ZZl85x!bd#24cU$rlm#D7w*kahWYsC5i-pwLGVG zNCq>Z$Z*T@NJrszByA{ijE~3R4-((XBC&}-|d5Syv|El=obO*=m zIdMf>U9?Y^XAM;vj;wm3Zs^GCzm;Jau&hLCphf**!xpPI0a{kN+BQ{8VjrP~I#5~) zsw<0Tat4f|gXtb})@B7klWN3~!+?djW{N(PNLn~u`y!kHiS&{9ytAoN*MJL8@{Zk3 ze&m+?NHZK3vDhftEe{#9XXIg*lC1Zs5ko1E9zt+3B-Gn+yH8Y-8J$L zC`r&G)q=-5TGAl0HB1--wQ@)-NXn>suP6o`S#H-}P0Ol5ONtmRMrLt_^bYz`{v4$P z_TaqyhVeotD+Pm~otIn=+Fe_?) zA>Rw5iDmq(I}1VC*yn(D6aKDk4kp8@z}`uN@);pf{?H9G zo`?HeJ%6j6nPm7`tlW@z(TP9c(LH4U7x%~NnEZAP7TdAHTQMZb+vB6mS>!)KJEO|X zf01DTAGEiQtX3>yXM1U%-+6tp1eGui;ULi^@H7+!1F1p zf%hf5vq+k4MZXEwV3jftp zDEYA0G2?rY_7!WG1_^St&KaBoE+GNlSI>cO`byAQ5-GU=vgLrgf}|SgM%$RfL%hWN z)fQDxh%X_cuNO@w-b??n1$4j>fo6df!*?%c9Ai^q_9w{ydU>XKiSSqeL<;>IZ4I?B z4Ftt{59dQ-jKaWuqnC9vFyS7{4_xcQhau z(zOL>>FG>SBxc~#T5SU6?mIjaRyg-BG|E-DB@GbNM1%5sf0wNd-kIO- z4z%;c1RAU^_8DHf!LN(*aQT(gwcimRpvdT~j`2<#;gqq`*}iL(Jnsl{rtRxuKzS{S zg)i7QjiFA>1Pr3G`j-1vIBjxgDham~(_~KeGlVf2S35+w=dZPku*}g{4weD(A|=Z|J=D_lE5`r0_yE%Jz032Z zu!-6_k7T1~0mb+Szghb?f?4c?IPxq<=&of$1mSVL$@P4C`b_sD|106u+ zZ`EfkMJMnjCLN&7|4~`ncI=mB2DCi}{}H8L0dctBae}&`*j}Z+3`@EXkY>xG5~Z{h za(HCJuo=sSElkJ%29o|yqaz1k@RGF3|JkkRe*vfd_YY5P6&IkDWJOs=B<|3>0>8V;6)D|IJIme+9= zDfpHsZ^ssRH1i*%fTNt~C$K=T?JOS|m;gFDBKm}ew|dg8`X z_TDO<{XtDDrN>$}CpUdorKtKb+Drd&4i%cU1(k~|Q`B47RgzEZv3V)+Z|5qY`Lyc@Pr6(a~d{s=PvOmtV%Or;Qjc9_%W(aEad}anSNk( zTsvs3SMrHi(+YDyr{5x}*4dV_xMZgNEeInpSAf6d8ViNeXwr%AxeZh_Q9@kJN-WDZ z_>GwdHT+<=tgvN|P3R$`w-Ma0I>8RwnU1N%GH@mPt^I1FA!iMt)wf8cjqv3*hVo3zfH3*d~cY%!u<))xk9r?3oS#Q z%A~YKDt1ghn7X2~au(=XEh22Jd*V;FaVObtCRte3m=a?E)YW1rc87+|50D=!Ts%O4 zPIH5h05gjx*re(KYjLlcscQE!l+40@BpIZa}iGk(QN$}ukj!)N9}J`oMlU?dwO z__>f1c~WA!@n;qdw6)_fJ_D{lW7Z~@v#bxRdCLy(>7?pHLUum6kdkxA`O6v9R_ zTVm=})&+$Q`YH+sxb7GKMqEa4!Ef6Ym(p9QDm z7+S}1zQYy^w%Jl9KYIIolGuZG>8%lko4;DEBI3s)X|q$EN&URN?W`#*n#jCvnrLuH z&rqeQ#M_WZm0dZ(hdWny8tIYnsAPSzrv2v;{xRo7c+}m6>H-wrpu|W!wsFK{c%@0? z4gjb@;H4?5KI#ob;4vC+^@@OYG{Ldr0B9cQ+NunYN;ws{h90VuAx<} zzlTw)&eUMzyXM;gGdp0!MAm=|+%?FUmUbK^$eie{WBcfzH>e z>M-ZNx?1bqfhCK|bC|fEPwo~<_{JEO&j9B^-RvpCWqs8S1pIO9P&xD;r z(0}df2FZ!}ZNI_HsrwdFb^G+$1+bCd`*spv+!X0Q#@S7M>$&E}`F?i=ycUukkmnfi z=!5?^mxOUAnxHL%@nMqapi1pOWldIRq>=>?1Am#N_*#jJbE}ab-HU&ezFEl97BtK7BPU?ATj&9JO?FXMlB}=aF<39sCo4#Qv)0T%Xa49)+6l*pv zT5XfF*X#icG!WD7uOKhvjVBhOt-uw))-eYHX#Xw3p_~nad-FM~K+jro5A|LbtkYu78Y-ZfNWXD+b_(KHxX=j!G(*BMwL2dVceULf&xD2N)x>x-+$zM zf;{Xk(%6$V;3Y764^^p2XfOV4zCI{We^(%&H^48`SBT7RUmo@O*BwK9XQTn!##a&K zox(04+=vLg*a+OJ)9_Il%qQ$5zUeHvh2nJS$R*L1BCxTwOAEbIt&fm5t%xBFj_eKW zC+m@u)%wi6>B@@pQUbenFQjQV`v&Gr3QxiMz%sKn->h7^hw3wU=sIz3{FmJ&i^a2K z_3NZFRKAPj#4=u9NE-{xDI=+7Fu2 zCf>XU1aA+$ahO;Hf*bGJ8_ePiev@Q87>D4(Yb-xg%%0H=CCY@Q{a7>#t)`{gBhN=^ zF;gjHE0V?7x+-cGKht(UF#GysSUG1t{@p}Sp^5U&@XqS2;?X03KC10Wz-m36igKwk z$*|k;8=CH&W!FlxgM?~_?gX+heeS&wA2b9mnqGj;lIy&m&_7%xS?8sCuNpMCBjV z2ZK!t>5KKxXk69RK=B{F4|6jdb`QExlVdOZWMh%oz5(+r(eVg#QjEbDc{MF#c)>C# zkxQ?FRe%LMDrCa{m``4VkUTlLA$Qc0IL1@pIt3mkGy6uqrR_1#lAGoy;VdSNO%>cm zTu$zrzL!^_4ZnGzCaL07e?pk=#aK8hG-+OuJB86}p7Fluxq1HMbSmA$naqKy<>go~ zV9_Uo3wNLV(kuIAzrDQG5_0^8*?l7mEqZ1dNj{NBKUFl6uFkPvxwEY+@PkJTUQuh^ zF2{Dtn*zNrp92v{yS*Sa-$n};nq%|u^*Y|&u@t<6Y|gRIT0flURs4&ldaA7Py7oF> zQe<9zN!B3x_-KIsT2CGRBL*Fq@~b~>j9BOh+|%dhH+33Yeo>Z-wYna8NSJlPn?jk1 zesk}ikZo=>?_|DSg0Ry~po69JB|~L7Vb*$}H4t~7vbRYBr1%PKTE?F{zr0qGFRYml!uNgLSx zHgGNq00GxWGK&f)|)P zSf@zyx9#gstI)cvg_5OZubOWF5q{!2$=8=eN(k#k@0O>X_W$<7++Cc0)N3|`YT1nY_N^$?2uB6a zV&IQjp-LH6%tbm6FqZdum<2{P3r5gTmmLv4hcgC=T?`p%!*YXSY3?_pA9li**=(+V z$Z1%zu)cX^q-7ek0G=MUX$WQcJD>Nt-q68%V%)?ES%)66n-a_@YYAT*1<$6XG$DB` z_g|O$LTC%@kAvvq2=EMaHrQ=9K701!`QsAvH+_aW9q=2+{=6zBLVS5zBG1i0>z=qP z>rn&RZMeB9AF!eHyu#$=o!q709QoS!0F6r(cdUjMURY($ky{EP6f}*;gAvy>7{*_x zO%;l7yZxq!6MoWnxz;@x)U*AA;o|yXA0Nyh##uu-RC(8?ZM-HTmWRPO7A9GyIEiUT z%?i^2P9n&^G^8Ho&qrfmXY~w(mtVhtTLoRz7p2O+J90aWu+n+%`J+o(gq#Fe2Vvi( zYP&!9yRVrgW10w=mVm0}@Wj`^J^A;Os`hHC3F5rwXmXBN)!^??HTEUE zNsngi;h98CfWI_xO2#75^Yx*O`EBWd|5VwF6mkP_6w4(J7(MsyNUzZP!QKmJOVsEi zn{G93d^?Bc21shK(UsVL}sXurNv zfEep=cQ?P1>s|t(+v$B-tdh0x4ZQzfW4AMBOK7c>@+HWn{JuLp45UF}HxL_`@qAJ5 zjJ&0}qtmw?Kk&zD(BZJ;HzTOj=pRH~G!5#$JH(~gnUpBN=UeTrb?P*}P>nW9uRFBY zTJP9tt96Mhxwr2W<|a_R`Wsp51Fjm=8>Q+;|}l?e5y|LtZmBQ8eWBywXQzV7%`H9zJ|eki;gu1$ke8^`Cy?7+eYE zgM5Ei&07406MqxT17=pY8xyb?55Q&6P$*aO#f(SPB48IJZ;2t=Biuu_o4$hSTS&n$ zNA$_x;X|*6v*xA-KW&!Fjn*G!Fri|K?<14SJgYn2rLZ=Afzjzz(7}T!gdL>uryHhM zBP(aJYTltk`Ict;BQRG`CGqG7?)vF5#cN#vk}b?KEMz$~dp6QsvX-V%Xo(I1sy^p`+BACI3U^Xf|OOXcTH+6278wqz+g5DK3ZyfdDcOjtX zAcjO>YoG_jsgN63=1OLBrkE6pyhjo(q=*BvAE@`{%>OP5gQ zd7JnPXkJV>RP!I9Fw+@-?ysi2FW-vwE%y?Mzs>3y*Ssi(o1fWW{^yoD?>#cmw+=gXHye(5CEM3`&JrE&)k6vovP zN1O;;c%V>D3cw4mJ<5jsEvMP<30(E)qv2!OlDV5bAW^CbXH_{V1P=T+&0e20_}!Ab zMcN`QZWi3@v9ZUqKpX7RrVqYPi8`k01#PCH8)A&#hPAL0aEXpR^?m-iWsBxDkUM?{ zdS*9IC6niG9NTfy@(Kt%&mc0u6;HU3AgJB1 z(g980i`Bx&unmdGl3R5Cs&c#W(#Pn(tx6I)I|EbnnTf*~n=j{Ap)mP{{g}1haQf!V ze5(1LFwoBGaA8pyGI`!_ESDs{H?c-MB>9=0pnqkHEWTq%W;A0}VZPmXawwh*oj2@R zo)o0RJ0Rq^kVWh9Gn?b%6Xo&T@0&HOy&%A+pfBP%54dUZz1_g&NlS7z`?Xd(~TG1;lem0!FTv^=5Tj@`2JaVC)YOcqpR-B}(g?b{9Ci|V`4I{eee@ZTW+k^%bG z3EA zDbXeu(UsS7CtSL2^c8uNLF=h$u=QpsP8^q#LFIEP)<1Q?E`qrM`)pkJnm=Hl@5`1y zYFUr0Nd`Sc?Fcx{z;#tX9UBJcyuo;GsETgrCN5c|xnA6Z!pqReMwKd1feQmWS&|M^&Xvv>%dihcskG9a-C38wd-eq4;n5OdN2K8xE{QgV1 z({7~^b6g4;=KT{T3=5-ycM}&Yejf=_5BS@cSSF!r6fc3Qie6lfW^qn&CuOw%rqE)s zi?nwnz$DX;x21qKvH&TsCP4!UE% z8^94De^JA)07KuPM?z4F^FwL5$~)Vge;IM2f@<=X*!7o|T!6y42P!Pi(l^LD-nE?2 zKW3(Tn4ourBTg?x)2Lv$o4HH5s5b*xGHh>}zPk$@pD^e@sbZ#Eqi;c{f?!{*nt3U3J(NM#VRng`biq-8SoOg-mYgh`#si- z0b*9;z-u}IP=RxiaRHdBc4S;zGKvao%$%F2YmW~}zS}q=c5L$VmYu5>wFA*e!YPTB zwEIQkOOTZ2mBKJRD?jk9=lW4l*O{ZA*=VOLhFN9ExXCkvzqVbd)VP0zl`AFtCU_ik z)WavctC9I1|2mt)%u>c!mSCN6-4NXfniDR+3k{GWgEX#5{F$wA%hOSMd}494Kke^2 z(yA~q=TJ=)FG8@6gIcr+cg4?RvxmFY!wI_O@e8dlZ}zzC7toKHj1DB{O8dqU>t+2I z-@>Ih7PDtm#Xq8B|KK^4S;+SPWw+&j-gNo@^}ojK5T0D5bi_;w+(#0z6A-!V`6(1)Dl&Hn2G{42h-w1?(3qTvc&WDR!B~Fsq-B|fBF7qOJSJ?s%Lgom zJX?h2&;2aG?dHoGf z%d=NuiKtQ(RYQfeO?mlJol&XcNu@&);quxM<`8#$ki}FwB$)b9-aP*)UT-t;>vJq4 zr&~~5opQWJ3bj zU^zz2bn9pv^nItfk7kLMpK3}7x zsX6Q*q+NR{U2TFeF*w94AlRO=oGh;M(Lb^X7gA-R?|$O6 zu82gBGMQD4SCLlHnqZ@KPH7I$r<0W>GD*_LtdKOh}UH`J67S z3NyyxFUOnA6x{!tv_xU7r1PyWJO*KL_pdx+ToY)#je43j>43Z=@Ti%;yc`WP2S~di z!@}eEF*H_V0J*HtEW<_^+lTP0u@(N*ZCeA@iw^t?p{siRVob=cR~$YXb+UR@dvpsXSUY^^75n%4%0mdd1(=FuzlJ6Mm21}gmxgO z7(?=sEW^)aCnv256Uzv{{b^D`A*{wOPVDZ4-v|02ERj&-#+O2WVY*9s;=cU3_1W7Q zHCYBH>~~CAd*GLNfRtk$BmKv(&+yUU<&Uu_CD3H0aLCd?t>R?38JEFJVD@0j-$b_y zIYo|~U$L`DN*b}FSi2AI=6JM++P_p!CPJw3K5ANh)O?@Uq~$AN!6^52?x?j-I$G8S zllp(0Ed8Ltm8s+7^Ms{QT?!3M|JJL&ISt|D?E;7r5{bU#PqQp{kY41h>?< z+!24cnIuD-fWkz__{v7IB$UqI{QGRHnBAu$a&|zi^FdMgh$@`nH&|Iasx*7yOSdb7 zYdtQH*!%`6-GN<}e$?+rl)z4My&ooa9V!4X5Iyr5gKBvo@!rg?h8j-ZarBF%lG4{Q zE0qm$H7?G5z*k1m!GH&VCfAc&Ixgn9BRjPs|Jsc~E9HXGcX`DItzwEVnk>gC(bj8?*FMn%7fo!52p z1^Z#%7f~(ZC+eB7Eb22C_3OVG7zR5`JZAIi&MZ&;j=p|hk}iu5F8~@!eZYq4M3ldS z`$po<;hWFnZa-f9+WVRksAwq=P`8P+gbLS|Z=CS?T{E+f9^O%Cx<4rtHO($O(*eI&bU!ygJ(gfIyQ+48ZW2XH0OU$_n$_xW4NjIbJufjxTxwy?w$TNp@0c#2W#ra^<7a|8UnG_D8k5G!gZO7r1+5oe_1dnz>n?lYH zHj#d_tyJF4#pmF4N)vYU(?96>*N4PQO|>I~+QZ4vG`lR1el`Y2xJq{Y3BJAYA;L)o zO9?b_Mf>od>VUMZSA%Y67`!-G8p!y>!1ZDtQILrkm9rYbesHqSTo6A0R`QoQ2QN59 z(*v9(FU(t;KRs;zY}3dfe_nR6^*o}Rw>1`fe*8SMMWSTQ{7jYCn@*q#^N_@4<0!4W zSMBv2`1ZGXeN`mQ5^vX{#-KVeif+;>XcI@lgyNyql-w91R_kg)Vsks z*RfQ49!WcL!zJgKNQJSNY;I=X7{}_vrkJ9K$nR_dzD3a&=XdQY^5wg>)Xkt7;TEs9 z^RZD~Hi3%rnm+Q~J%_cn`K#@M!Y#Tv68K)&!KV^aI0Wv-DB`A;ePSe-D+ffU9XL_u zE?kp-7-FR*@EE7-0F#=!(>_J|KJ4MaWR*d>65^vh90Bwi!H~;&AnnEaun5cQ*KmB|lAi|-rBUYzB}^_^=W7?#5I0*9PKz9vr9Z;)P#Ie7LS;|)X3v~ z!O9jaJGCEHIe@!cS360oa?N_ijw-< zP%Xl^a7{kEqg{db1v)6=#pW#tG;UF%_l#!%sfh5RPC07Xdr76&z)GR8se^u;})l*|%eGENup?BtCoM}wSYzNXisL3 z>66-0G#6Vo)E{@YsZ0ZlGEz|ip^+hNiZ_gXHLU zwYM&N2e{CK!L7ph0^ll%*pY=pBd{&iK6U!=v-f!wS;^s$^LdhCy|@vZ=$U;m3^9Ii z)-?A0Ox!2qLdy$LO|K7fvTLa!*XD$Vux4e>j4HpASxIFEdUf=){Zj{&ze6CN!)xfir=mPGmhJeMdi$G{un1ki=2xQ_FF zNY-F~UZ^}>0hI@YS7#Z1k+XEq=+2_pXbsGY$xmj!t49-S7$Dk0@3N641TLlohgNcP{iM!|@6c`oVv)9IJ3RY#U%0T)#vvGJy4P zrr%)pY^%KV-%EfXW4;G6Ay}lc3FGHFGW@3_sotYCuyF;@j46&}*2PC!@b`+e#MI!j z`E~gm(jM0PddWN=3-`g$W#xVNdPY@B2h2@?T$ad&`An`Ndnk8AI8Ptefk8Q8=IL02 z(i~9^dK1|o>e-yR4;E}9$(sT~OQ7pEj#%to&JUGOoB1N=aLM(HETh3k)rJ0qWPW=n z(=vbB<#Fw-=mUP?98@%2<9P#WP}KdjtrUB>Y#i?u4tYk2f zNe?=tiEoPEO=R@vB*f_KdtOcZni_ri&4W8D8UuR&xMe8VzqLp-vO&Z#O?D zpg~(^hd+lNX4v_wo7m7`*fT>hmEif{NsXLL{l)~!ph#6(> zCsR#EJDSdLG{+{|5cIud>_5?{1Q_lSKF_zkJy2TT0FidtP-k ziq<$QeV2f)tONFEVgA87zh0_Hfjs$Ry-N%haHh3r8 zM^4y%o_)^SbnhTYEAQyT*zM8g`Pbd@q&&UotW{EG2V;EBIwp8vT*ahD6UT2h60|q; zjG`u^+EPU;ISQUkT1QT&_|L7jo%00H4^~Jl)7S?H!G>nGX;0)+GYppM)`Jy1;#}p2gi8^$?kv%_7XdUHSHS0-g%5=rq zzxMX*H7QeMIU=AZI0uYVr+QzQwA$Ry9~@MPhxy{v-0?(rL#MY%K9jaAY}9u^ArbV9 z^3zyxC;#az%HX$KcJL!Lq0uc2pOF_=F?tg%P}n) z(@vVn5NN<&Vc+vY-Xl3oxt3<|q&AHaDcZ0%e91f>jECnQyUJ(|?7$wq5)T_xhWJ5P zSD%nX1b^JaVgk$RBgnigb;Km=Vsb}`oeV7BE>R3Dv75b*%h+u5p!6z|qF5WuiXi`l zB?D_l#b$*!{uqxW<3mf4;HyhmX@-wR$Tg4t4dot|M^pMp zjv(g_6~|tvW+m3&(269TKI+CC&T(KppYo%mo~B96(fmr3^v?%}(f!>pEUkkNOY zy}cOPEiqoG2NPz!1tBxO3)8k&9kuJn6iR~;7{L7{F@9l`54~(W(0o@EX-*aij$iY8 ziRXTk{4o^tX?e};M82~~)FB6bx;5{+pR9#hOUNoZqYy78GIZTMsXJm|&T-YGh5>S_ zB-#BoK(=9H{OdirV;uNyS72)(J?Q&0_E;oZyWe+zqmcDF*UGEG6IU8IaaSV>Nan$A zoOrU(i@UPpCUEdHpXbcfCgJ&zM|&K3t#Ny7u!nJgrZG#kC0%g0J_>$9qS#__micbU zBj`IEiTvb$PvmSI-CEBxOXlv_cXa~EFa?Ml()jDxi@msO9nSX4i?vvX2rs2V3LnbK zE6yDiIC!zGPkO!i!Sk#@V+LHxJ(df$|u@(2btb`X>)h1}1 z?O~&60|Os7m^;Q*`}|f)W&jSDS3nf_BMiQ?rCe%Pn{z^C2KccI!3sWyzv(mA?Zuw+ zVAfh?D_pgC{J$^Vo$-LQIapWjM8SUPvY4(|Ln6Lc(RSk3S-@!+o_zz16Jjn=LKK&W>%hQyk9fcD=c=Jol9LhF>g#ECxM(B`T1r=jO6(GD3*%5Y@c;i=!RF|2pU4>TJOw#h$(4r`&c-%=P`Gt-XV zl0!+eIt{e?@qr?U>W|_ne8!$ItFtY?i_%jo79{eQLZSoR?HRy@r0Nu4Q}N>EUpc#s zn^xOhYlkL8tdi9a<_uRO6MJKJ_)Io#Ha5d}#T*0L2g^^+rGy`d)$G3np{W5^FHII5 z!u?E>`gd}t+OglyG2gwBQQmnR`U+K#N~+b1(b-mFTEnB```@21o&dQsa@Q{X3$rUr zVUt(rGm1<5wkZ8@IDS9KLiqzQIUqt8!6;-ifPQTCpmMO9{5@v_oID<;ivrJSBWM@L zFGLz!rtiPFFT$vx0w>m9Jc|4MR^wzpeyOe28f3@U1U!w`>g4 z15%8_Ubd2|A-M>}QA?g=(JZ<4u>D-KCk;jcUwxorcmN3CkP)u4%bBJJt9k1{% z-jO-uPE(9yVs2%Vd$JnV06?hlrL)y0R%B61K%FM}r7|0r(u{~q#j-)Qap^RE6WeE>T`j3y749+m_w`?P2 zE}jev5$|X&;2+^Z8}O*I-$U7|?F`P#f^&RaF0=18MuLk`IbSP-eS*!(SQvGLSP?$C zV?tJiC5q+-LDQ+uyy!6QesHqriq5CQ-?^UmZBxJ^ttXHQi3~^cWXw0!W_OX1J1cqX z;cV983YuDyMy-vCUPuL*igqwv91*!#o%Me00l1~s2B`Ii@iFu_Lm&|9y!d`eT*jm_ zo;mKc%#f{+4d#v}JB_ng`@n3Gh3e#YdzZ)B)P0M@rWM4hFFrAbL`(Pg(elu0b95(n z#xIXvqAV!@s-*9M{f)4p`Z+Ko(oM|*e>xA-iY#yi8&>Ob$Fv1)y3WHcgMHtSI0B1U z35xIbGevyVB!K?2Tu=J}1AmC1;d&@o;Cx#q+8(=Ye5{M{MgCJVU8C1}1xhTwfjnjb zL2Z^uX+OiR?WmNr646U|pJIXrGlMR9`F=S>cn^tpzg)loT>#E}OpvI^OFYP>i4LGI z&jj6uAC?AV0-zfECMX3Ryen2EC-{pt)Zb1H5?0822cq?8$RczUErz@6sV{?f<^zT>lj3YuXMLXPnsq03;G zCm>606zSF7^1=jr8c$&=yD; zGzYBebCjwVWBg&o$~y4Z8vO2UEv6PTbONpJmAQ^$?Ht^j#+h{i_$$7r%{*iLQi&gG zYM9BjcS1j{RkC(idOaI#*z^=7!sYy(NCGQa4WB)9C~ggun`ggyMP}>qqTEsQT;C;c z{Ugwh-=0A3;S>)^mLT;Pp7=(JvN|D9MHu&rrHvm%)HWn>Q^~Fp(ZWENB8%^DKfN+R zLk$^L6i>HB%G0N^ZV|G>iJ6d%nB--cnF^bu>Xb{Hmer2nFIx@--32pY&fR`m)kMTU zLzek?txKg22`xIa&&ehwX|fqy3Ja8MzOKqCAnlituTA(v6Ty;HB0t`n@-(F#U`FsA zzZ`AQn`mE=?gx9%f6-PobQ1R^L*`X2F>u0zVcG1Y+TZcVlo?G;Um8e#aI?g&{;Sy| z=Q|}29$N2-v0V220h>3Ihu?_F@dHBsH+9?LP@ebo`C2qye(;o{*YL&A5C<15uNNy{ zE};L#MN8EGraNlVRuyRWnHOYCy6mtIR4L{y>`lt zFK!vq;MXM$Q2ad-eHfLYzyCKftjTZ9zN}JfxN(o3xzwtYYyO%yeEXSZ4@hWCK;Ly=msAiIy zcjuSc*4I*xUJgk1&H!s1S1?Wy*2Ljt$@o3G+_AK<-5}^&43;@$4*i3LkwO(5V~1H; z|H41KuA$1#bde=5BK#Esw)~zg#YJA6)nDe3>ERR$VpA%aNbo~KEO`CJ7WB~%Fy`hx#ppO_t@tLB@OB{b#d*?#6=+t3Sj5hR-EW0ej2_-Rty)Zf_80c{Ab;JFON7p|Y`r^8c-oh;4)(SD8VDW$<8Q>5P& zf+?y%`KH`E+u&^di_NBkGmIFRC!6F$;ww}>%n{LyZPuV2M*jMi<7P|Qx3tC9Ta4O3?-VkHOezu392AxVqwL*@uY^Fl;`TY*54*lzSgCNNBw1rxD5Iz-s$`M&_PI%r>VW_e8(TFYWK@Q@MUuw zkD_XsD!MA)T^rFmON-U@Z1YRx6-JV2GL;$!E??xpmp=Kdw!lfx&Wy3Bbdgpu`S4~g zAzNOgVb?nHzC2tFohr<6UfvHm5fQILfv-3{Byj!M#Ek7bE>w7~geON!XTiKM=`pAs z1t#peUy2db`^nXWp1AUzOoNi5u>GKEgJiF5pcjhnn>I3cRcQn)E z%&Q<)3`ub4uW}SO5l(C3H^X)}hp7S5V>&bh>p+Y)MNn=(>f3d4fhH$k`P(ANt&{>fJ4BcYGIF0c(&yR(1&w%}=}wgt4@d zvWQ_bs+$BOpVP?NLUkjHzCFvXzC`X^u33PYUy>`XVd_WUAY&V)hNMc+13La3Lg4V! ziw)STfUZE~Ut0}e(Uy3Rcdfn5CM6Q2nf2!R0<_CF#$kWsZDh-iO}^@aTcCtjoD=4z zErH+qH)0VKJTw~K2Twhm0V4811zdV5bc^|0-wdbirr?4y@3sAImbr*d@I>RDi~$gx z@e_jci04AO>$%$=|JIqyZ+@C}p8A}jzmVP7*#q)(ehUIjF_(Gx>1EXG6=NyGfo*dl zJo+PCO5*SatnLjID*|&sAgExfWcH@3NZaw7tJWOgRld;9)Nl%Edfl>%@q_iTxua~N z86LzIVFalBi%6?vY(aBAY~(s;#Di@Lu^pl{O6x&4i#5tpFe!zCIE~y1t<)KgFaRG1 z*auJrk+cACzQ(WHZelFdVBMm7;)r!#*iMA$dMK7>VD^Yp+DS+>Ad)*_91>9M`rD|A zgU`=5))4A7^Zy2EqkNr-O@$I_O$MVgVp5=)=LStK4^Zo470$kLPhfE3&NLEyZQR4tH{v> zvNJxk%Cm5`i!+M6ir~-Q5ZMSJ&kck?&6#e`4%Vj zhZ&MANd^(8S*Dmi)KA67!SCp}vF<=a$7)+}x(8}!pCeW(E_74jb15f|=B?S>tCy?R z(e^`OHj%>Th*t8X<0(IWhRU43<6s8iTw(n;0%gF5QIW&cebhnZrw7{Q6%M|}&G1Nz z#3o;-VYFPQ09V#ojVHPWt2(ehwTU^HLQdHD@$g|2byLnZ?il_7`hke?A;CpCwC}LS z>t@#gf-i-Q>$sK(l zQ@EnBlFNcNtaZC-`!_Panqyyu1gCiSB?nwEh=dE@G+M5%j##cU#y_?`ZWpR{)|A{k zcxrF^V1x~biQxx8xO|@Q^#$h8k8yjiMi~tRqvP6BO6`s#lh)mkM`XnSd9BuL3e6EE zfk7JA@rb0ok#%xXpqoj(OhctB3?RsEjFL2BwJW;SlCiI7&qM=^Yjo}U;q7hz2WxL0 z)zta^i*7(gt%?d2{0gKBid7U5l$ninK&psCRjf)>6tIF3K_Ni0W3^HzQba*y2xV1foR^$PhHv$QU(12q6SAl3{P}llJ#p_pGzdUH7bW?_aG7$sXSKd7t4k+|EqB zcNeHnpdCp3Y}*b@yC2&nBuWiQHN{w4HO_yD^>tIoLFYqP#OLHu$4(K+tDe_DF0byG^QZRV?Kseg8(oW?(19zsEcm5bf@&<Ceo^75Gy^Ocak2 zyTC2tO?4|LuNPoDb=D#oE=npMi%f?Uw=&BQrS`5c=2sF$RK?Sd()kESFNQKhc^$f% zYRLSFm3o77Nh@-n%ZF|c6bS-4m{($-`1%&`P`SE;y=l>TuXO<4Ik5a2rT?sZFdxy2 z*{-d~%(K*(E|I zJum2PB2Q>twxXeAOw4KfwK{#s>YnD_LWugoUCE2Cs-~#jjEpjl&)1jQ;ACWGQDx+Dl+3c#pLST z3b2@lEDOUZDp3uxeJNPD84h{COpm;hOU8r~E!_To(%ecwNuDCZ|t`z$M06}B$!({F*dCA1Y_;6@6SF-~N!zBGEx=A>26nlCWdGeqHB??(T=Du-kKq(AGihtPWp;>|n zxKbh&?8Ro}hFy%SX8Sbfk^`1XbTgnqkd7tOmaap#Q3F{Zot9@W;NwA%*@KHp#L~8T zu$10bv*uGe>a*Mgh_;M>pvFQMQU_`p3! zA}vNEDgv{?G|e6;L}oDx)mz2_o{i#hSYPvEIQ`D3dSHwMj4jeD#)M6zW+QqD96QOX z?vI~49tWwU(!pmo*^c__zBg23j;uVd);!{IAEUqR8Sf(U;lJO3O74&(>~h02<|WI& zZdZ$*W|0?oxU_)yhVhv3TOPU5s>Jxv!u`$lo#C^g?SCbZ<;GMq4QbNzbU)c6K&an& z5WiJF7sm2T69j}!hq73kio0vCF&6V&N*k81e*W{pYXz)_Sfhv|=_ux=F=pB{7%Qi5 zIs~O%@Ef60EiE?5>n9=~qEj-7d@5IV^NBLF?W3vuxf;w@r`5L(dh!6Y2-NN0R}g2Z ze0sWASu*y5PVb9#Hy9QE(ICk{uUsg9g)L4&7WdHf{Gn>5E6}l@kkpzFi9`~h>Sp9R z4doj>^!>gPmAKYZg+yjbPIV-oou63*uZpMS>%A>@Kc2^5WTS{_0c3In`x7tfGs9`l zpz8PR#oUy|-{8FOK(Wg)md*Z*p0aq;ouP20c#zHAhfvc78jb7x4(ZLZPwZ`wtm`$0 zSx6-wCkcjmpOY#>T()9!?;W>U*sLrqV0FULOx*j3qgBY?mr<@gS!BdKd96nA&@HQ4 zlSf~;XCCfsE1?%x;}OB8jbpe6at43FGjAuVn9y?Ks!YU~q2;RE=aI7{pO$&l~6SAW0~OrRTz2MGpi`%-}(;D?UZ@8_SrNLlk`iwE$>4 zDFZN8{n1FvZ9k}3X5kRH0Jz~BMC}#%;1sWruU#(eCV6;V%FtJ{Tw1iIG##pYA7}ZZ zBIArJY=bl#Xb>`=S11|V*MzW?!WJ2e;P?g_V>Kn?Gp_d+$67(1V@O`~1t}riWtKDYk+uQ_!GGhJw|}ml9@@hiHQ?&E(EqUsmYDnk&!>Mu#*bMV-J|TD ze^UwRPcEs4fJ%A&gYODla$e_#fe4wvM#AEcz*D&cF|^SSSWpyu;(M*s5Zjq`$zt#B z<*?iq9WcO=+GxY$zB5c}wYs+d1H91u`MKk1|Wr?pyLzu;tQ zm>yYrZUk+L)u&~LOvPWG=%FS8R#}Y@E{B5vz);Ni!oVz*2npvQKQhs>A}q;$VXCD-Im;P&>z zrhrr9&J^wz;rWfAhtt*<3e_<`GA54*4yvJf78*zXYPJ6Ip0E(c@Zo@fiGm*<0FC^~ zF}!z1=m5;pCn-P|?v^ni1!7aQ%(M>JoFuFcILXNtZg~m=rhSe4W9^Ro|H!mBO8YeW z1p)D8b94WHHL2+NZyOGnAWWbq)Ix%Z@=UOtZv8j40eUde&?OXA!PPmH*FaeeA7)n6 z>h9*={AVWcFVmtsmIE85z2Abmb+62ng?95KdO#$fWjL}@>F8^Q^W9>bD4r>cdxkGo zGQ7az;1cq$Vf=(!mNozP^+}ApVd4h_$QA!z9>o9hOWpG2u-UX#|0Tecc({@zOEc1f zsKFwbGP{zFacv|aQ+A)>_L#7U!#2BOmCcA>!B844oxbY`%;Len$B1Kc4hvu7kI!Pq zpGB@NPu=Z$A<_5&tmXQ-64E9xf#}<9be&*Fhmr86L?XM`ODMe7HLBS-!BqL!75b|R zLopPJQ8!SW4$FJ8$SrsFSyZ2ZqokG0K7eYr`49@7S!13~9?=N(bSjAam?@y<6zyDn zCeZ<#OSlJX@d9TV#{!qrYX!RU<`dq5I1H1Ab&6sTw3!A!a`1PNy@`{_h1UoDe3@J= z&MmQCIjgyXsM61yNhQUZ?C1>1--#iU^K-s+=4&?djiYHyiCmyUVi=BhZ3;)^5CSUn zB(7P?su89feBWkd`EI6rpZBFk55=`69F+`4E1l9~e*?Q7)u3@Hb+Z{@#Dc{S+(X8E z3vNKO5u6Frsc;RGNE_rsW07w|lQZ!jHtD&tUjg82ZF+i)zbi!|gr}DMs%(FZt@G?F z;hvfG_^6cmpa&Auzh9YSVh+9jcXC&9aD+-?(hkkH{3~o?(wucoQ4vLww00a7HwFbg zRofwp`5O9qvNS3*$J3zGnQE4JfksAw=Bh{TnW;K9j(j;na z1pc&6RBNMBJG?{|hAJCb-4H_@(x@W-2(JgOcCD_oUPlaV>0RmF%H)@u(UHnHi?2&* zBd@X>jcgwrgO*QlrJG~oi3S(Hl5sQb-5Qm@zgVdg99MDSHSs}t*1~0BQ`ShwYU7h9 zdAJ>{v_z?(qp;OtL0!c({l!L^J)|t4MrEICVQ$FGfX}YX40`+neeiEo z=NjYrVlQa_BJ+AyrRqjV**$s}9Mb~^jpL^eN5UM_mxnzdcfUkUraD8kSvzV9_pcw@Ur^M9p(V{tY)oWY|nN;mNR4#+@qw`8+^1QC>h6(51A2d5-c z0H}mqox(7dw-VO*=5@Ubc@8hg%D-loLCOaqQ)V)@j{VRcx;7ey-R@jCd6_qeB$1lu zUNWt*=dq}>(S7qvI9DM@JgEY^fTUIlqvY#^{mIha)g3K-XuT}1NlJo}9hB(p_htRgYa>a zjQ)~3FL%)vV(J-n*K&tgNFYyctgRv%U)~jAql8%-v+T~sm(2C*tGs`dZ}V~OZ2qQYj7=bqfX6Knk2^jkR98{H57!zKgHHWZ#P z+_JuM`$kPuadPeU%RQ{ego$?Jy-dc8Pl0LH*L@!r-J|c=m%C%nX}-Cu;v7mYBd?T# z9}gv`wzuc9^<@v|^_{R~V!;);J%Q?sbA!hsZiPAD6_XVQ9s%d;?LEk*gHNJoqJUR+ z2BR$v?bDa9XwC3eAx(ZFIWJ&hhrY1h0~#0(e2$ zdf?F-ZLaCSSmaEca{Ulwy}|;b)WHMo6@gaRyW$?7(@eB z(~jzfuM4-m0e`xwu-^X$%o>oP+B`w^XBnv~bi;=d>$aWTOT{~Z7JxU2q{1y?)+4MV zFG_8(_aceaw2u5}-CpZ#9|)?zx-vmnmN>?|%O3#&poqFyTKqHnl*xb_VQ zVT~+&Sf%-bJUNW@*mPp!t&3z)Gs3Q2T`Rw?tQGa(Ou0SQHoWusp}ogos zUU<@sWT2lZAFS(yKHuVb%l^(RurFYu#CKek^rwJ=?k;@v`9>QObg+L;7wu|FSfuEE z1id{LC=_k!;8WneM4dL4;VaRoOBRCB6k>v;w3+I9wTP&|db?JPX~mx!7q$q@sOhe* zSlq`LAT*}Pz_?u|%0$cILo-M{db$HBAwfqiQ`Z{v8Pgl#|5v}d@deo`cxm!YBG9nn>N0r z0@t-An0~c3;k&`ziT1QiTc+xI6XJh6z$bNc5bJ>Qx~ldAD(<#16Ka@I$zttbTB72j zgVn)=;}j?nd#M{&d!x!aTNqc~6s{m5R-6c#F-OU2d6J|1?psXyKAriHmP_>icy2>s zdU2s+tJSs%)$ao4s1gpSGGz6EOc!us9$1t@D#v1Dxgb6~uDPOR9ZS7qeblP!l+jU+ z5pBcX!iMSPZIH?JtybNkVWnB0=Hl-v!2N@kJHgyZWUb?l63w}2ze8Q5qVsE{2YPaCCclbBl7$RiQacZlElliA;=Y0EuKtaIW{`osuMsg0!blbjpLUEvaH zH)aSOLVG&~tEbRUI&os{ELwPnr9Sy{Ic?an9zD6A%XlO+@$ao!(>jq`o1A(B^CBu? z(l&(JP&SRKLZ&2~i?1b{9x2fb>7Z#AUs7si}OOJGt`nq~nTXd@?LT zug8pq3#s+Fg6cKv>EZ^K!xL6kn%YXJ0+E%b1j%>AJ}UPB_@*s;DO8wFyrbn287saZ zV|`~a7IeJUzOLQhO$OB2s|*(EHrU0@i~o7a){uESrd@QZ^;HpWLh>+$*X|M>B8eOLw!;&eG5dFcZS5j8M7vFYtN!xAU2K-FBGr`Xo+1Rv-;2m zj~s}nA62DtFmd6?6pD9ak?aG%Os6bumo)>h0>v|?;ItL}nDc3dd$YUH!}#Ltd@dw% zY`y}FQM#hp9p%NW&m~h=-5;bb$L{1c;LSWkR!yp}F;Rn0Z zWGAxdw5N%z_$6accX698?0fVpA!(3GAeizHm2SUmk$+2q*)r&yWS&bJ?TQvW7-4>Haj?)P`oab~$66419UlSFuN&ZOsxS@H zLECFtw*1;93a&6IGvynx8-o$NpM%h-8*>=0k=W5d z(IY}vf0eHTnA3195ftzn3O*}i+hRsSA(Ps74!SnKujtv03GN49Q50A2u|_I?3T_K} z^l;xaev!{*2$ztQK=4f-sMeKCa4XO4-p>R;nBhvG>?DPv#q^pgV|S5C*cOibnAvha z*0^uAM}fVfR1F)6Z&)O9y6;a!+F4Xi%&R;dvG~wv!dzvw%ukLz^v7@EzeBJh*8%Ua zmtLP1FiQDY(2yA0hu41Fm#O>DZnbR(zPR=;>kr3B+Df9cKT*lpKMID4R8E7ofW3Tv zW${5d{S9#vj%;TRS^5Dw6S3wspDO&>v?BJV>4#xW(aVSBtFfMg6;zSB4!4u072SN} z06%xU=p0A+c2W6NA2U zv>-e^;d^jWM*AQ9(*r5Vfa>)po~b6*nN?qSxWvZ)NtWGJ>YSDKYs-C187qW9J05l` zB-MFaM0!r_pK}hXh*A-k!#k|UBOWJ)OqC}nz*XEJHct#yvJY87^vQl|iPCJ2HUMvU2enEL+DL8}iN8 z?lW_rs^DM;I=V?42r|`w{-F%z>K=f_kh#H{$$p%qcVEg}e3c!|R={8oEOLd|s1u>sq=SQYvRlLC7ffUMpS*+qeWu||bMsxaWhJMzqS>0iT*bGbv+ zEh3eOq?8GS9c)nI{rcxxb(ZfwnbC~3zJarFf0-WS{zJ=inl5CB7DGh@FV8W>NamWY z9T$X?3Z<%-B!PJrFrvZa9i1xq$tRYSn%Z>$EIB}waoU6KdiB#!I*uczj`frilc1zG zNlnb)RMc7Gn51zCV0^W8bwSgax#D_T3p6_`t-~3+=jRxElrc}!=8-SehE?G=_>i>i zO6r*TDj?0~iUnQV{0#{83wJQ7&>|zO3XenCJudET7dX+V_JLPHxDdUUW=Jf~BrO?p zap^hNW=o~=j$XAC>4GR7F14Gmjuw7Jv{>kE7jU$v{`^ucN( zQFbgYkw`CoXkm909L=YHiyf21I9sp$Y4HZH<~(1iyt8D?w8rvTC}fvQPQJAf6cfcy z`~pJeWyNiwGj$N)$$uLblWA6|iZngQqAy$F?52weWG{@eQUy54=hv(2{Shb#F8icqGMOtkoM zUb2UCeKlJHW&xSy1o<)&sg!4P>POb~y@Y{j?`IoKB4a+gjKpsaU-*cp$Y4`VOex{~ zpoLLX-tXbd zi{W@VBm={*oDf@g(Lja}f45mRX-Q1C4L!Xu?Qsx{uBW{+!hQWsmq9}uma$p}0s=gkh0hnAKY|I3!2GIv<+)M zj{EaET^ah>9YR+g)~b=8WJXO!wzo5@BDxz{db#$Rw3r%*qt6+O){CSrXchi$8nvs8 zSgDqb=tIV|N!)U?S4sfXAcBS=7KP1>)}|jQnDIa_ zs==F|vj#=Or29(is2cjNjAzqowOf<3(8XbU@^oADJyg@w6|Zbo)T66QtpBW{x(WEI z3P6jKFXRa*rKw#Z)2YQNZ3h76K>QhpMR7k`ug4xf`}*)KNo7D_Q=y>|)F0Cl(H{z(7*nag$yMmz zBp>JXs7hfS#1{(sQ%k-Y{}g?HCgTr4O5_GrK$*VlsVlvSqexQv? zb#%Vvvh86x&0!gTfPO`@P=|BLf^LR&_9rn`(7TQT&3l8M;GXuGKW6}F2O&WlAw!ucopsj(CR`Yb) zO>vv~0t_xPp|2V`O_rUmEyXbzY>iu4yLC3J={VucO$ppM_Ev8m)^(P=&^b{C_6R)3 z9@2{EB@+p9Q|&(R6{{B8nDr7p-q5N*L9o~k`ZZ_U*IqY|i%W@PTxU^c#*{iB?ecoA zja!yQ_F*lEHs-)1Yi485Y5Z*^6W+!uXX^w1*rzg@Yo8kgElCEV@8@cK!d%v|d|H&; z-p`mis*+c`bWKp!42H{AYEhtQfdeysnVaVUAO7_X|3BdfSafs<)&CF@{+|s& z{?``k|F97LdsOl8f1Yvt`#ZK9$EN)c(*)}U5-F^l!A61xfVbKhNFDb7Su% zBFN98hxH6w)U8XbCa5xCZ-RD|h3Gj5y~5Dq|Knt0B2peQnLtNvG$msxEH1s%n8sF_ zxW8H~MgLYY2~Js55eIwrbmN%YGhbh1J=OV{o)9&7?Vhn~K6rI6h6|V3s6K48`XL_F zfP}ZxBSs1_?>qHJ{|XCip0q_D94a(uNLLnEEW7tE zIVYn$6cXIEuFfaxF<>jTWa$z}}4tXoB8y=$L`qa~%kRIVN>ZL^l8WYagoF&3%g+ zc>2e*&>xZPd?gDVI-$D8$9+sk>8IEcf3}YCYvT?=j(JC{3*x$`iF5QxAu~>i0#TKa zdyKkN=<&Jh`6@A(_2^oBT|t4LMVU`g5}sJR+BL7|Vq?`zG5ojpu25Q{Km zb)ClQ2C!3>R5&S_EYL1SN2j9V4i4Jbd44Zrx~KNQ(IhA;0*@vY>ZB%!Is1`U+dlyB z5*F3T25X&;1oT9a+zM#8J8W|L0@v)=XST5?kE%gIuB!s-)7kpItX0r@z7s=|yqh9w z&3=hQ<_va!ANn6^q-~=Q&XFEcF#M+njhI5d-WsykZ^PSZeo<;-`ZW9G)kcCPvZ&Sprpa=lnUQh#l-?CYFUjzL%#*+rC1`2p z=Sh?~#BL0O^)rMTo~4U9*BKkSBlu2@jm8^2goLO`Kjxgt?tROcO)fGu?9^?-I_Ow% z%?g=jrk?R1xz5zGA0|pHk>1wK4eR1Mb&f?I{IR$mR%9-HyWY4-qNgV#4X$}T%nZ=y z6)mjy>QN7FNISAzC1BRTp6*0hwq40`*g#lw;0*^dKwiAnAt zrAw@uafIr)0;V8bHU0%j4AdItk0bIDFW-Mm@KyVan~KS9@+~%H84?jiaI3_ojXCPd zJdHiV4vu+pIq(l}u7&LCrT0f*e}VEyJN&1Nq=L`+#*`#Kix9Q7q(4P<%UX=&<>2<| z)r`NaQLuDk)JTXqlMJGrC=9SCHq z@8y0lrkGNJl@OZpky>IS&UrCCs8<}O1#~c$*K;H6w}sFQV4r_dfL+7v1^pVBhETRP+rdelILgw30wj z+{XUuh{9tL+rv44?1k1sI|5=oQxEZ-J#>;)0tk!e)sed?L!LACE)_I!uDUn&P?t1o0hGi83#hay zv?=sG6BhM^e*WZX>}+e(+kYn>RCUq6p`H4I)JVa^q%45S?!)-sCIzBu(6u<$o7rPS zrd+XHll`WT^BXKakIp)RTd&f)3|=9Dk}x=@>}zj#{yFlq%G4iQ1xfv`JvNUGNoq^R zjJ6w(v2ME7LsSksd8t$qQ`eDIFm9b0LZ|+cB9ji=N+5GFhkhX{hz^-%)1! zPs3$~f^?w8o!g341S={*Fyql&E*#7x0OxVv=~3w}0Gz^hVX1G!@fhqTl{b`FH?eEP z7b!lvjVnE`rr#5i4?KiU3~bq^y?xzXylCI>&jzf4p)i==?SI~H9a6X{RGR=H&1 z)S@z0dbphR@M*s4fF<@&q0pBS=2Y`r<9W!QFKruSRWEsIN2hcI_Qz+yaMOsv?tt^V z7xb#qlHM}D$x&1%=3{U=C&>AR?FP4Y`ro&XVigcn&KwSyLWjOp*TFx0auTSq-=6j8 z>^n$wjQN7V5R&=yPyx3*`d<2;I0Bj;2gq^9JH*UEQPuS4lhA%haO6ZYai$pSg(7dn z^Bt|~c*&GB^284Rn=k9|+fB;Zrz!f>TJ*quAJEtT$!$Yz4R{F^&$s-AcWQ5Pdipua z@||qW)TYCkAb?W!kr^?X2jR&Q>WqYpg_ABMfZzdJ<3)Rr{s-Jn@au&5p<3QUsYpAe zhj2_l-g1V!uYN%eayS+Dfj`k~ll>Oh822iY(TA7-mSfDv<1JnxP6ukQ7T6Ase11Q_ zM0GQB5X|V`?T#kMH389){6GnG{+u3AgUN=p4nxzbHw$)w2=!B zEv`}igARZGma5!aEYsOfrDejRwU*L)X=d zADvxjqX}Lw8c|q0sf3siwFd2XR>2Zc)G-9>}b)5Rrv6$Gt0|wVK;yLuo?&ei|EbxHTWoQ^bppXOp6#z`-0e8grEp^ zFoL-ymA~`vgh9yv7S!05|y% zr0#FI@cx?5pP*FzpVf-?>eHW zJW0wY*9fz_8MAZtEo-hm*t^=jHW`iQwWFBOm!}M>5J-^p-1O8N-x|4{^u8@xriNf0 z{M_jF#Hti)-!mQ{XrHpW=H|MC@X3{Fu)VQ5({mGGIO5-ecOsqAhW$`<&VJyiBu6FVbdL#i}tCz=_lH6yej<0v@9-~5>r z;AeJy0DZVhK1Ri4DDJcC;V@0v?-es75Dj@hcKK?J41Bc}&i z6jOo$*e_J^ocv0xsec{JX(|{j54F$nQ9#^?Wyjx3d_L38g1n>(7=+?_@Rrq)l#p{M zvX-Pu=2U}5mEA?Q?+A`q?0t4I5M)Ek*x)TEEZiI72HxrOy1Oaejb=S`{a$l= zFerY9ZTOlo{qv`{4(FM@VRjXLdxJd_txX1T;C{n#1&CB{RUQXlfkD=Y-siVijwvaeUHwPUErZG@1#K|X{=NLZn3{yJG1z(OW0uu>A79OeB3(9-{%vE z7obafoeD$khe`o^35jc2RNE^W;IGI0rWe(!(6j@2y3Yrpk+=(EHJ05(k~jSs9b4K zu{rPEk$UZH+%I1c1$!P`i8IC~wRM40(Y(+NNoNtjd8&<+aT%ThZ(pE)8ph0snNM#V z%QZ~C`-{-9`{w%+6wV^zXV>GBp!rrk*o>cYkI0TU%!Otw*r#x@LqRWwBeXI|^&tYD zxuAW-1iZkjNUL7b%+!4EyIWTM?LKt)Cigz~BnVM|LB3O&fbaW=cJIBRZW9D&rn@ux z7=0W7G*vuiH2;$^f@GRG%**mN`rgdj@}{JMwK;R@PMEkvXpOgb-VmLHT>KmP5-c8j zaqe;0Mw?gU^UgNd<6ZUIxB4}**H`0GpE$2(%e1iVX2U02*Tz}(1oR79U<>TuL>-1) z=O4>eCVSK{V7*d$f_NW}#5}56X_H5RK4^X5r&R2Xgg2VqATgj9-QG-(6{q2|s&n3r9D7dW5w-|Xj z35x+gz&KpH7w5qwgt%NxaIXNKX#4b)J~@t%klsd>9Uc0kG}Y+dkO^N;!;TXN&(4Oi zC>*e51=WBE=cy)^jDL`!${;`xqxS;O0DxAGP)U3OCV10q?(V!j*^MH^ypJm-62E?F1fJ=+1c@xUZm@r&<9l(8fj3C zVvm5}ZM(qDaOEa0G_YOpPdwkSWIBl}GgGMOmRIoaK;6#tuDYZ4mhmX00DBs42oa(di`!V>{ytHfc|LlYQ(+3EjgzJ zfCKXfQSnDDN{)sG-KI6A$;|jQi%t5OvO`iKq36f+$5{~jR!N%h!Oi+%mLY+^lfuhN z6uS5=44JU>g>7*1le4?(Cc*J=!w}6XBlGQ$_i-uivH7dWI@rm7%Zh3Cq$SX9{6#>3 z&8Is&KjnxPphmpF(K_~t5-U(kascYq-WuSf{>vsB0wbV@84 z3pi~+iW~7LVCsirq2K>Z(Qn~AI*T#&Qfd-Mx4F@nt*{wYiImSvtR3DoWOeTas!;LR zdJ>~j%ysyvmBRg**u5n==Hlg^NE%g$r==)fBIr@bKf*Hrli7pqibWeA4;~1ym(UML z9l4bzv{%SYf^Ly4#5#YeUDhh4=?`qSCZM80&397$g4}=LKPQwT#8Zl3L6an9Q8l4D z#y8m+d8yU;86R$#d)h&Fo9_iNrE>nFkTHiUblEHjo_v!2Q_nF}e6a=~MKgkaEsk0h zb(jVz8i|e;Ap!AI6&L*gJNIK9oVh*1Qgm_cm69>rBf859_nswdhU=gQHp*|qT7s&O zXH&XnVhah_B7fj7%lgn@F6erF{bavt&eaGXpz)jTL&P%l=$uA_d|wS9Gj|>4CKaDBP<}` zmIUmP3?x1Kcz^7{d9wtKN~Qv%ORDMfV}hreAbn6?bY=6x??->7-`m>Wm{+to%usT6n~0DO0m$#d%;86D}{FZVsel9&%849s0v;Vr9u%B|D={<8xt z?cIn}>P&(xf#|dBhpdASV5ME>fHwyVb>h|u?}e^GQgX9?CozNHOiOiWB$KAfJr^DGQ>PLmJq`Q*}4aYUm+4!X(L-bVn$>gO$>);Z^ zH(;iEZq9d7P$Cg6WEv`xOfy> zfTYED1~zv`MXWc9Ve5ed+j5_>e+8EQB}CZ%YZeZ_^S>dAWbM{XVk%3lqSNRPVV3Ye zF*K$`RHG!bRFn0>XsI3>ybCiNCF6fkUbf9rz(-|p#O`o}-Bml^Ys z5{oSg7OxBdrtG~RjNmbHmPOQ}*EAZ^U1WU|-`JcDL9jR?$S?^LzeA+@I+9stB5K zqty=b{-yD-|4>MB-ntRhjs|0PQ4^9t<149~sNL)RB*O{;JK`BQ>trp%(8l%*k&g~0 zk+?rA5fG_M#x%Px(Rarx%()cAGagqjZzYwE-!m?7ZEJNwVlQ;HU5qB4h;uJ=HL`WL zQ7%Shb8vo{N@Ku7VWReElK_v0NYY4wQtG{-kKy)1DE9FC?3dvA+DUxORzRKM%GfX& zam#n@=*fAlf-l-F!93w|vk20$5Jwi)ltt2Dviks`lL?FAsa6 zTJ*_~sV^PtPu17P?+!C)F ze-ZKdnP&h*Q_rBg)cT^oKJ!LKGaw#r%eYqzFX@|TCLISc$E$Eq3_wyu-AMm}SaD2M zS`*5i1IhY}RmxA(U%KBQAU^)XYqPk+KIR3OU{%r(%Hu`>4JBmEQo5d4dt+&FI+ZkP z=O<(Ka_%B7-evet^dYi{K57nYjhrZS0g}5lH0<{*ivEz1WzZQtDots}6|Y*yiwo#z zQeR^))vMXVbYBzr8y&z=z#Lkg8>@1S05snbAnvPY8h{fz&OActUfThe4*4$Jh)_P{ zJIUfJHYALJ5A@(fkJGqN#Cwoe2Lk#ro3#%Ue2Y1E^I$^Lx!eo7>|WPH-3)9!yt#`! zjvvH9vk=pN9xEi&ME!2x)0ED%^b@QX#}uG?wUyao(F4x9##`%Oy?bsW$to)6R0fnk zX4ogDJT`_Z_9?5c#9Uzt*n%?BX$OnDU%50p=63&3yWJqgfY$`(_EJ{-KF0L9;l+^A zJFoI1_3NClu3(m&?%<8QJQcugcHaaKyoK0yl0#0??}OmIUTWlb@kF-&Wb^1&!$^p2 z*uuerK}etkhq1S4p0Cy_xUFQoRX zN)kDETWpO6fy^8m@aEKy!_*YLK_g}k!8*ER;l8Pe*iZjqQ;e03sa(}WV(1866r6EZ zGxz0-8dI+`U#p%1UA`!lr!i!$M*L@Pwm%)AiHffnrL zqVb8xd<^JE?20MvEHdDdw{NBP)YK(<^0#|@9G5(~MXLT22J4*3;azP4|qWyS3= zyBR-nF1yCF;C_!ttNkW*e8P3`^f2#ExZk^F(Qu0*3Fs5jCD`+C)U0w7ePp}o0k2Nl zcUmQX&y{I*Z;61}zJA02p5XJXHDSX;ap8A+vYR~&yY5p3;YQf=dXWo~JwKDXpheDsc<45!$ z+!8l0Z}9#uGVKOF3q0neCfKM?|7I-uY5NxHQeI5%g8|YLhzCS=&(4;#cC|5u<^@H~ z8B`MDyiy!7Ej<1=X*%fBn&YJkV8Y4kC_}4up!A@CoHu7%9uQ69=n$9srokXEd z(hn;rd0j$P-{-J>xgPrH*a?tWONQxx6K=sz{KkgNZXZzX0$o?&!88Y>iy;;=9mRbH z27QlZ+_d24MRk2U&?K{;?t0H-tOt9tYM+3c#MfDE5@XO)oQ)1-NTKb?CAzi5?)jE4 ziZ=u{`0Kgc({VO!5X4&3Fjg9(_82SM9z5&4`?7O>)dj{0t7_LjCPEENXbv$~40Y~f zpw|^`KH{61%s`*mGW-Eqemk<{^x;J@O7zOV+VZf;cg`%adArEp&@TOSv755|+rybT zumlFV8tr3rztN}tz879(7Ofv|Iz2q4s(bD3d0F0O7e(b>9NcK`7r(E=7rd8^0Od~4 zD49GrlD_lTp^U~zZZ9W7qvei3<>|^|3VV@pNVy}k#vC!phg9*OPEYwc17{P#cRXq7 z(IO`KX~>MrSHaVmxPx%4?~LmZyt4XeQkY-+L;~ zPoY(WOs!|vuC!bFI$@3%m{G%Ap3}BmOpvjjIjGm)A+D)K&Xi&@?B!CnmT2pH=!kDOVAe8m2;HA~1Z z?iS0106OpA&FynJp^x>pC|Gup3QI5Wy2@05st?KuzTr5KE_gwsofZp!tod`7K4;y0 zv;8@UQrC(Hxd(Y5gUTxyR9f!>Ak?HReourKG;Hsa0{B%72sc5fSjL{Q+gDNF|7=X| z9|^_=G~I4H@ED29pyv+%{Fd7a2iFn^o4eE{lgCta4--Z_J}M&H1~luz46gR|V)=;{ z+OKLTv^{nz^e!;LJa92J;|f<=39B|L>79XaAf{U12|Frv%%T11;nR`{TO#y{+PKY+ z|2aLYavX!yJD9?3$OQ)z04J*1dJPwTbLWN^v?NhsEApm_Ryq{=s7iUSNn1RvN)m^^TrcMPLT3T}~JNMBxrh{-Y=~5XPt(l5q@lJj`em?HeR7Ie7+WrqAWx zby~ig*)BzFB!cA$hvl_(+F1)t*ozm@((_jlllX7;JTCRd#kJg&V`EzN=o8{^j_%ODYrsWW5Ed1e3Pxf;NP-P#HqjoD zYk|U>iLU>-#IafB!p(QP4D#Vu0t-NoXjG%fHo=4=Da5Wl>{`A!8%u}Za%+~ut99l| znDEs+y#507}l%af8A7gB6&i-`Mt?TE& zPS-|#Mvjr7o|ixgz7_)2?E(I->7b6zp6t)5V1oJn=iSz$K zm`R;wZGXX5>To;~fu~z0>C=ukBT?0nN3-i;whL)5k5@^`$(fy|pdsygQ)lu=}feheZ z@oHgv=;^6Ww=5$T1IpMN)Um3r(!;rJ5>rh8H2>l(mtA&l6T?@R@e3NRfS9p#lvQVa zB4qma0vGNOj23r7h6(5HCgQT16yj%40k~orFGuSM8mSGE^{6bVfsH zc_g@vQf^sWI^YWQ{2!4N#l4;Q;R8>ZuxB~Tsqfh|CNS{UKh5iTHk%17BzUgvL(D=kR=ttyNJq;u*PEnh{D zi;$EVRT1q`GZTP+s|8K7NnY&)>>hvwn7LGC&Z!F4UL6D7fI`x6@_KtqQ1lO(_>A`h zHjlsCqXbWDU+Ag$k`f-sN(WHEbq0+*^3@CY?dXb%t6*H@kii-qHLe1L`Av{&j@pJ*#IWQX+YX4MOSq%M+;@qikIO%Zy)BgN3(Kr) zxPtxJi?Czv#CkMVH8k7YOOF`Tyjy)a>jtF3-N9GDBmc>hC!DutsU`4el4<3>;?~#?t=2peDZ@s4h^;s#0{<8V%5UD!?MG$w@(j!4v1KgVVg zJD6}PLCy+v9&eJCDGT}9hmwg$0DM}MR@alFF;z&1z)8f1PcnR{ki_EjKseXGI*AXa zIrfIQ#k>wIFnzdrPUjg8d)@>X2-sqll^SrC`|(vj>nXM%k}Kuey=8FkSDV1ml$2h{HUYOfEawGT+ko+FEghXdP*& z4B)SjS@OD536_pOf`qydy}=RPP-7lsg2N|P8fQuIn;1}EOt}LyP;SJAB2N$2hNq1BkE44f+7%1JzdT^bZv<@b6e?VZk=M?NsMxOu?Y1X3Y-jp^wZv?%Mlm;H*a`hE z(qfp9B)rn^JNqq$b(ERXAj-@DIm0N=)5vXCmbWKQlF0OTfVzmUk>L=irdzlk9~vOG z1>U;O(sc#GDt-(B1kUgHbk_0dfJ3W#35&qCLr0v{Z?wAm`)Mb*rUS~}lOmn7xR{lB z-xq`&l&Y}A9s;ZbDH;+ST@qOd+H=(6CnUVUjpFfIX=Xu>^c?495UlqM+mse!yBYku zWjXeC0)bu8@qPpg?RK<_8rq<$9@ImI0V9CcBbJOE3H3SDgV5e$nD zi+z-Z&FAoB0bJJ<(f*mPlhUJ&ck4^6cmAnwaIWW4wT!^eC|}>dWF4}mQq&g@P~bCs zpQ&_`Qq1IOEJ9p82P3>-*kXFD0B-~F3#cqwJ_2O3g1R)+Ctpt&n^02!d<$7kAGRp4 z4U=)fzd+4X$y(Kik2BoQXPub|I>Ug1gYP%%ev}z^+ga@FO~#wb*Zp6ty?b1Y>Hj}| zPa)@VT7@)-Vx=T>o;w@LCc`c(qCqI6BxI_YJM79KjYLT_IS!UaLegQ_Xe2c;F{Q&` zs_8s6=hJ=f?=|~=zdxVv@B8@t9^daDzsK4?)=tgLbzj%@Iz10pQ{nt2!~P|+q~{}% z4XqggQ-fSCV@$}Woqe&hN)w~@6XJJwDG+)g70rMrX{G-vE$XRTIP~!LvRi4G+3q+~ za!*a6)1#jt9Xk)xS{2yAnF^n?41QOSD3|OhjM}*X2`m}!kP(q%eTjqO1xz5r$cIYh?3<8rv?ZQlO5m|-TFSA=*RTiHJIsAEm@kH0A_0s z62XV|3L3|rMFB1p-;^*hl`U3+Fj=+@_GcCz0Sa{#o$k3o-PJqImjy(Gr7i0|m>Pg; zszBo)xK#7+`Ka)?N{|T-qFiCOF$&D2VQ&-kD3%=$L3X2xk2bf@%nLB|#zWm<2ZD($ z(5)__zBYR6!=m^KfjJkGb$(?g#MX5rJDjxk2mF->6!R(O#{+yTboDX6ai*(`jEEX| zVlNZpJ88Zz!tn>dT%G!TzcLAwW#6EDzONU6ugW|sBS~i+FR&>lbyjUk)d_Qo6$WRu z$8Vf_Z5Ji*wgCF;z{(JD+xy_9t-nMWGZ?Mwi9<^G?q9qTa8H?d`bCQ|`KKr4_<($- znu=|Q6e<91i&Gw2J3_jVsR%HGg@sqK_CH>|Q1@|eGC?o>NsBkEga?t8csn*izw;{)vP`#T6>Bi|~= z330Lq^@IX?O7d%>-BruYlPha^A3Pu)2aAETkP&DX;}U<#`Vzs#kDhFf#RHb5l|EZj zH)Q`H_Y3-oaZm;ykaFNArNwtWlFq@t%%-_(=^D8?@7kjI$^yR_enjxqU~7Yl~ayIb}nXA5WfI{&Nh7RkjA$VO&~_hQDR4#foXW%2$<2oH2(zG!Dm* zAmg%X>J2-RC)Un8OmJ(m2#`*opell&<()kI)*)rewaIhL1h4m?5*y~tBuin!ar>D` z{|jsamzEvafJcvBdbJ~Ys%QnjIt>=0P*070!~fz6lSHna3i**Ld=f~kFCaQ>;)olV z-XP~}=`%fFO#1r+L4vyunqW;z0aX2iLW&HggjI^eJxwOuOABn4wMYx3p?aLG)Bs-5 zBNk>4kl%au^yxsx%x~!bz4LY4zorHMXe|x7zvwcA59&=(J<9{Q1X>Qbq^$BAFOUon zPeAX9kPxWfi1uC|1v3$&Ra^DE%o|40N9e$a;kS`Xjqsx$hIn};kUvL0Z&UZ8RXw`V zEXqQQzTjdZCYsKYZvg~~AdR-QNQ?KerY<``0pk#l0Zwajt2|nR ztcWS_`EdER5{+xanO=q?xa$?<*zAskWAYv)koF_?F8v#MqUQ&) zYSI>fA=Vv|RNMphcV|lFE*-3%bk~W5^rQH?$yHuCm-LADR)IY{3laV0*|TX7sd&_~ zF-QPeXe{F^stFTRyuY4+Rk)is!lror1^2Ap4+rL4j%%AJU~%($RMSI9;bfN!3wNHS zu6D!np&G^$PBbTuR^?e0$}bTja(`-Z7m+S7xHQIP$OZNd19L6%>svX>>KcJstLjoF zhU=0YIb_p8$QTzeAg02RZ)BSiBg)@E! zqcn9ZmKN}pdDBI25{p$rHR->xdVRFH0u&S#Trz@#cH27RtTvpNs@4h%&+ z-ge)hwJM2{TLe}=2y!apO*6*7zrJ*pqd}sNa&5yn75XcPeU=Pc%-{l7fhe(m=p ziUQ_jeJRt0;z=L}s-KNS9LIb_SF-bLi}rgla*$Nr6&8!FYC!k+ayx z?4qdC_US1E|1LbE$?ox)?hgL*6#Rp33?5@BJyDj{lZ30v=*z^c)!^?jqd#ucyR%Vg4y71+AeeBMkFeBHdraoF_Sx8 zsI-e7u&7;`U7{0y;}`FfftVm))dYlZ9J6C|3G!(_BM0C1KdPkHDCgvcL*|~Jz=3wa zmjFXrMC|_w$33xL+(^;+BcQH`z)3^)L#R|<`=dm0x zrvsG(6CsmK5w4kQsi`1Fgx`KcuEY~i=gHx%z-zN z=(j~5?_3e$!BCY%z9@hCMA!nRkWCwVME#Gf6wLd5PZRegdfvD~e@YJ?(_DuM$pAjw za+R%`FE?0)4{Z6K>>*zoN$;E7rP1$rlpDF)t%(+c-vqORONT{$l3;hSrOz2;fFY+g z!kQFky;DL9X+w;xImD0vo5&8v5pPljAYfs2$$WDRDEl2>_@?OcK??ED#fjqtMtMuz zF(cIVCjKvL;=1pXMrY=Cxo5=@_r*0iL};_0nZ}Uy-~hH7uJ7TN;pZf8FSx(RA~yMh za*RY}8%xx>$zMRG?hz!d1~&=%><0?SH_K8-QUQfNXz@8ewPW2(xRMqlljHt zI>fz@A^m7Yhm70f4Z>V9;3##tJ)nJ^DW>eqc$YS_MZq)#fkwrrdQwT$`-7rt_6XX2vlX zq)q4@n-V~MLb^Hm^_4G+TBGO+nL9{B!8>$*!Sm~{wt}KoB9Sy72^yW&d4Z7|^&z}A z*G1BV=VAbAHM&%*x`fXTz8sRMnVq{DjA@fPhXAkPANov?&}usReaFHE+pDs@$x8!U zQ57Q$1XLK*)ss2p&`B!^T?1H`vCwijgX{|}l9vjX&P(DsOer-2{!(LC&e4q3m!(Vr zUnI|R+5*>hy)t<8!p%8H(T@+PVj=iSo*3{gG|d>ZLD7B^F2tQ##N}56R|xGlp{H7Y zHC*>1Z^(fP1)7N-?s#S7sNo5%cqGqtC3+G@B2l?Vsxp}M>w?@3Yy;dx50Oa8E(}nM8EzCdrINd&`!|qIey8s<@mhrfQ2-ViU z6f1-7Yim3_qyZNbo=`XR-cBX|)9p_}!+IS$D2+u;2Jrm^l+5S9kyVXG`O;rqn$WnI zw!@TNC4VEA*|-NZf_(aji=?m(m&QxaQN`_m&e?|*!aLFx?Od$ho%=j*z_)bmElq$O6I?J|n$ycs2;QX-p=`rp zRgVPn@yQSVFhjbc=zP33nynPn#p%N#bvcMt3o_QGdDz*X{=Ir#= z7+`Z=PI|an$D!xvy237vN z;caXX5SVsvc4iow6{BZPPtZa(w`czcySb2kfRMHb3k^F#3By|Y{C@bdeDWTSd(9cT zH?fu9Bd(7q!txibKt>g82{7KU(n)+S;frGB`hoSNwG zyUa|KvTFFUPxx$81!rl<%pMq$0uAZ|WK0y83Q{?z|5|I+KtWj3TlZxxCC|cOL+_=L z4eTNYY(9ndJ_Te0pg}xcTFYkTE ziH5evPX*`~kRe7@!%e^n0F*+m$FpMpSk2{!3w9}?mvQgm*ZOVG9zBKI^%Dc1Mhx+q zYgP3^oI1Wg#;58AKeIaol?t`)ltJ~!&RF7)9f@tABea%0|2h1`%AnIRbCl5!cf;hg zQru?+jIBv9C5(^Ro*Hp=u2pxuX+p;9aeTJV{(+LUC+A_$4(*#B6s*9c-$$|aLt9$* zFb_%eRuXK_Am?snq-8z2hiuWhr*Pl+Es+L*P|A#j)^Z=V-H0>?Lz3={!mFZim;~^Fo_ns2A^W{krwTEH>q_d4w zqPdPV%6hqeR#r6>K_(-{uHRW_K^T5e+EM09o}hj!vAP#hG?xWLmRqNYT`Qaw$5s0$YmBE97t>DN9=oK@nWKcvAHvlWj z=Htxe8MS6oci1{AW*8J*jZ4ktpL*Aa>{!VLlkdxX*%Py%y^#Ce3x0hg$n&?~qIW+( zW0#a_G?l6h38@oaPH^YQ{M!l5ub`_em5L^jtTWlNRgRb5Zw0nA z)L&s7(KFYVlSrFxEG(=tO7zmvs9G{0HR1hFNHY{Irc&^THD2D4LQq`|m>Rd5H`A!b;<4?Geu6>@TKBGh<9 zYcRyWOCD9Ja*=4!E=niVib63cZGB5qAq~=iGm&jqfRIX24|=Kuu$sy|i|_8w6p-Kj zd~y>i2CP$s9?M;ruy)A7KYg$0(+SP0B;Cy4!{0(O>#qXNj&kWOS5Q6G5}^>}=>7!t zMZ}#1mep;LfMUt}rr5`&DPZ@*?b9!u(6O#UJKyGw9_hg4Fp46HV=LYAU)z;MzD^WK{ z99M*FXbnn>HD*ZQ%W&4jHee?c>qt+3rG~zCCHPf1v4E)2@SeuYuc`#B%H&ylM&DPg zBAx)A)#I=k5VHz*?F=nLHaCr_qAl>@IXjy{Nn&9`(?LvX%>CT}Gx$kOT1kn-2<>z+ zxxAGNK9^D5k zH|xy2U0J8^{0=L!h96(#Uxz2mwS1fg_Qi&~e5vrW6v93>Q{@TD2vw6q-|wIqJ~)*E zh(OE_^P1Q+Wt89OO%vk{y(=8k-7}o*uxlvxSS5(Y2Y`#cwiYlQ$|2?8ovJp#b;KuS zJR#X{%Ftpj(l%jn*4J>V#?$Vc_%1PH)cEXcQv)FkTbqMFm#s>q=k?Xe27E&-T#C!V zWyRI{Y7*f7FH>895(oA#JJ%ngx!#7ZgAZqWtX^e^1Cn5}!!C)jic$@JW7K#P@cjvj zKiE8%KKuu!`nlS8%-Fv`*hyR0B}^KLWEVj+5duDGlbKP)&L<$()Z`8OlM%<{XzzrX zVK$k=SY-)Eh_bn)fx??a-{@ZiL|!n&ItV6eil_;S%!tc5Hmk^Ttn1!CU5jd-zjz>T zNQ$=gP|5eK8rZUc1+KEX`j2RMLLu7`k8uUt1r)Xfcg?l304@;c_c1h%{jDLzR~gg* zj;slmwl0j2O&_)<9{H(hYDC%`s9%pl6rN0!VO-@jKZi@Ridz=|AtoN?9V$$P8IJU% zj!U#Pt{oCQS*UL}N@hhvHm&Y!qHIPoZ8%Y`Ril5=rwf;2V*O+=b%M-GB^B9mLDO;j zxuvtyID6qV!eA5G?<%0t2 zeyCdSLb=yhKWG|Yrmd;7sx*!l$O~-ah>mbb3Yw0Ybd{d9k)#W*igj@9&pucq^S?aY zhoThQXo+#d?lHS4CJ63Z3BEqUK+~AW@lM)Hh+pMY_v)!|%GSV@j9jIE!#9e7+u}Wmg zu50dq{_Tk&>%U_3he+@X2WYQo!=fHBQ01Vo1G6IomU_{Hes@BfR~{QZ%zh_{EW7RIAMkf0S1MxTIeTskxHVgtIHhUv~)fk23ht z&4~#`N{9o$llrD6ab&7mZ&GJm)3itncQzabtM>E~bqg^GX*t^kP;MiEmZ>y7II6pk z&|Kg^_Qa`;k~ZuIu%xh)6tk6*JFHUT+Fg?INCc0sA0ksw&LIwORCpw*{NMf*hypeO zjcD|G~x0N$J5Som&Mjk-j*x}oWvR!^E`BH+g1iKZCKTRG$@!$aY2;P2VO}X=|6(4SD=_C-#Kg5@fuLji`*1oOeDg7W0NY_vV=67;C~l-Gx+mq#7e zLnH9fahHrftM~T8Qxtt)m*{xF^px_1xfbt!^Vp#$_ro?eLTa%;mC2+<1CIUX`k{5Z z>FROp<{cy8)8-k+W+N~Mbedn5J}2<^O}TsSm_aoL_RI0QTz_Q#B)zHVEI1)}tc8c*%gXlXjH~@R?8l1|+tbFIE~v~>tj`5y z&jQLNXRNPG;2SHtYbsNoL1Hp9cKCi|!KXRTjA53jUUt76lTC$8elv`h-vbCh4B(4w z$}gU4hhv8>rv+rrwB;)+)IM;&gj4cH<%a5A+Di+zu5h97{|R^5Hm0L$nEma~4HB>y z2f%Er9h&;w)pjJxT6El^mlKxog~r!sAv<%1@NYfc3g%Q!bwfM?h!IJ=X6&BS6wA?B ze`8-JRnNCC%GAk0BZSWlOT|wo_5mRA5AY8s+uZLzZIr9&dMi~-^j92&EPOMYc2dKu+3rLLTfZF?Zq)MBI?Kje z%V`TB1Uky$iskBG_0;c9rp)+5m$1XH`NeYjPiyZM$3LvZ5*#D918PG4hNH#2l zTg_xLkl)0KPJqqCzM0BWp(7pzllqi?lnJf9t+Dzah#HudD1(|V zg_2UEwwyh8NbuCf&KI!!vu}l$JmAAjPxwmlPnC(R4h%V0z^Mk3wQ@9UF*r{`3O#4A zGjHUFcsB<91+K*t@jsuTp!^V6P~n)-Ue!?z=qpI5*s+jn(Nh|jUaXM3F}Jc!ZA$dB z{?YOzxr9@QXNd?b#WV_U9s70E$mxBQ_i>ZxJ*C;ua^UhFb95R<%Ai!lt{;gsiwMD} znvT-2jZLPzv#!LMJAn!{pces#VwcOgjW8E{r5E7rpPxVf6wUjd)}2`O4L01}R|i6DM$>?VEYfeI@gk8nO?}%$YB~AP836-j(nRYh>KVkMDrZqh%6d6~utaQof zEulsCM!6@bcv@Yn~uIA1*3vETw)3oDBm_SJ`fIC<}S zYw#GEDGBTPtD@I;3C88GM2MAYbrAY2bkD$>1@(or(UQi(W?@Vsv{K8M8Mu`Xj&7|d zb-d_!y7b!ZU~XAaQ;lhDSXi(V;ESOROTl(Mc?Rof$LYg%CL9Pxj`n`JCE8M&d*ph% zey#uLfmizk=`awBYYu{ErmU}VdNfYY-t z5uc2AXXa>8L(q9Ey&!CoMNV*GRBVOj`Ry#W1R_?^aVTuP2_FJR)uXpdI%3YawBm(0 zX#N_FJe^AF0e9Buj^vpk4~uTT%|8213C&Vt06e8$G&3<_q2+JiK70&T5Ix%RL!Kuf zyXMeTt4St<5$LA15?O$~phI7Vi6OTxiso-n$-M7c^qt8g$m(BS$^3~M-&V1a=;&nZeJ42DM-_BSA0-v!ft8e9Y8S_3_ zb*xJQ=b#jPM#YjsTHlC=rUjp(`j?E^(cQDmI_z*8Xj_qWCc&2?^0S7&k@p_buB*HJ z(Cg^$*kl!XTI7}Jf}719pS%CUylczBJ=-|u(;v{YZ^6$_9~2J|Gsw4k4_o0vA?S$$ z*W|L#*`ripUCUOy1kI(Mn7!6&)%4d(-)1UUS{%Cu(XH<*^hoKdWd!`k+WsqO)D@&` zG@Fm_T&FKjYK=E+U>lZGIGr@R%Zo_|mne%&t?R=!sAbp2Mmz_}qF(V);~Mk1YXP+G zvPs|@qo61n2*r5Nyrx?=RM8+^2`)1vCIg^0MCTujACsIy*Oc@LAoS7JCg#Je!G|mjfc(1f7~*t zvGdgl_aZ3=?QaXNO`^XzPH_a5dO-hzm_Alj8o#Th*zPJYRQA1Jo>BcAqHFnbVl|9M zjmyxOPYV`!k9F+=(S%=5ZZ*C?|KSHvAe$sx2EWS#i3eC zIx%=tb76pY>`7B2wQ>95IVtI*Th|+QY6dV7&oGw~T?S<(=UW|gFR@DY7w@par>55E z+wo(5FJI9%4me`MAre)OhOQFoQxc9n2p8Mrk<-+{aeYPez$fhm5ViJm3Wc#T8Y5j5 zeWKgb6n6>fh`zJ%%|1KH(oOJy^fCK1Kp}yX$YcnLXm66|KQ^)31>BY@SvUw-@SYkM za7|2BX}HL9G0ExNesV+KGiLr@-A%QnifsboVwzsSvyJe+Yw7k&n)S(;3_!KyQg51X zgV2(P{OYc>R8nQ2JLs@nadE@Jy30VY%1}$caa(>qvGYPWwA0lRr36r92jl)g0zX?n zyW*Q3G!NVc`LYzl#^``{T`cGTg=8h5IYyp7=`y=H4(#hUGqbn~*_UMdKYndXo0osX zF5()jydA$Q9H2*P(|S_f<6zmAm{V^Y(?@@1VO@HqAwF-&S^1le1@+}o^l-ci0v7!y zv!q_B8*R!Pdu}&Px=7DT5*y%r&F^P z>>NiEoFxu~LRwgJoc=`edW0@PB|y?SwLOQRy20OX4G=fg$AThsix2BMvku9XeAulIpSi;@+O$4@KWc6!DzN+k9% zaofQWwbS^&UU-5m#AW>{ms~Ejwfe)4@gNrKd(u39L_TLEErh6hC<$`@Q=pHju<7ej z_xMe4)^VyqNRJ2+I-&gM93rf&kj;JMxR~Ug1u{3WV7Sf-kbgsa_#gOPomk%2gxqT{ zrXt7JEqUyN^+2y9vy~?2fAj(s!M~A>!;&3OdPLLF?$W!(Ik(^{4(IX}pbFsSr9bHJ zw9edZrJOg;L`4c9DeT?)Hxk8go-OM=4^&^s|D0zCzmk_3z!>w#cjp#^7@XO`lOMa! z3ZT;oFP^+;F@#eqX8Jkq&sa@FWE^e}Le1hDHz~Q~Z{YKCeIvH0R{HM6i>J`CYL0Vn z;#=Zg#A1@ly@HbBvZT%H&fScyp(}_#U|EDoU^@*5YHPHSjK3B}H}@fUs16d4n3T_T zty}!}?YU2H7;&f2NHzt1g~twmK7fEFTn3c81nl?oglFE^pzj;gqCRw_wc6bHSlZxl z#Rd~$QUe&sC+?+k23-a1ew0zBp9XKumCZYhIsH~x!&nT@{boh%eE=dhyy((UUYad0 zzCHYtS-vOQ1j2v-CG{qUOw^CHO*c$@S2siypxL(*x=!(zhPbV8BCt>pY4R%L znREn&y%{l7YsL?9=ZS}fnN;aGtdu1T>o5(?I{4#3=2Cg}^3TBn-*kZC0H3DX;*5>g@g^aUe`c4{T0zU`A1D-_$Tl6do*8pZ)Mo{a#{3jj zcWBdvqab02+`gl{enEs_};Qvk*&dy+zNAcCr@^R1$xb*0wc_WRR zDJ@l#u|#7h_8~&Rj|!KlLC8Zo>hbamzs$K>({9c}l2kIbN-pN^MK)ZB+$_{Cf^4X+ z!W{we6SYycK)aqa<%4@Do@a9l*UW;0;f80Soy}>bV=cfbBfU>~hYcv1Oe^B(GBLrl z64ggE>5{FFbYcwRPg}i@8l@5Qn~t499zI>_C}-z%bj*Woa)!tMzSshCT3(Oz)p@iz+f`<%iK!Ss}(QmPDW*0B)MBU6S?BG&%ss|K#= z2kO3_v?lCK^7Q>n1v&Wsw`nfkwJAIptKE*vrSi9Y?MIFX9U?L!rr?5pst`!~**)+r z^PrB@Q{VSMVR)P5&uXU^hAGzy9`PFSx zk%Eq&2Ab2-SJgva+G!rqc2FSmR4Xgi4rSbsxMxS@ZZxnRi5&RfZ2A^*v{#+Q`zi&4 z^CC-CB*axrFCq_=09Ls>0u8cVc^NZkDsr=JtOfxX$Hk|gYzmA z-wTPVCJWnPDjs9sCD-uc)TX=0^PR2XY%!6jC$RILYJpx>i1<%)tZKhi9u18cQ{rjd zfTQbxtRHe^(n`n+bFpp=1C<=Z1|GeLh5ZC6$?SdQlvbaxD3BRu@VVs}zC{M^*a1gH z@6LkA68^}X>9Q~%<5c847}VX=($!7GWmbefygv3Ma@>=ifQe9;1;8^fw5fan)OVMp zbf``)(1&dV|6wiB0@zr&z!tK}iGduS*i!|RekOX4nj$Ll$wZ>T?J{*YZPD26et@MsQYDZp$*LzPNTX499BgNUXqE zv(qo@oe5MTzeH2 zH!lN~63B%$GsXtC*u}Wc$}-?L2he=fb{Ke#EMKnBVB#1DOjaeAH^H25zM~|AmjlYJ zzK?`oyuTWx;%;kQveP5YnULE`ozegZ-bUv#*2BK~x*?QE*hi&UOVA`>d=-h6RBnF4 zcE9mE!4L?BJSS9El5_#6O#f`O^JvmO9u(>|LJS-Z9L{{-*=T#(Y22|lJxZYq@e2Yyl$k8WqvnxZ8 z^wR9o(h<5YF6>KVfGH%3+sWhyz0i4$Ze4KbJE$X4^?8EVaZnKM7`i; zR(h9v8RUuwamv!Rda7%+;$#q*O_9yL}na0blT!Gq9!52p#^cf)B32C~#t! zC2Ea~Z+ixD!1Q}c0KKEw4S`wzR>-&0=ZzR1fR@A=g^3{xWG2=xUaF=h&*?T6Q|#fO ze{KnK!QF-Ge(Y`K7i6!?+w`iAQ_zG?HJhFVnq0+j+5p5oqWq9#rsC$=8jYMtIF=hH z00xJMAc=OwI$)#Oq7Fyf1lIIPq$z2Ml{7AzwHnJUi$sJ%Er!#-T|pxLqXG3>)B!Io z+IHBq5(Qr&A7Kmxj;CO>{eLm__|HrJ)rco80j9#J5oN|8=c97{L7LL^JkRoAgf=Ps zD%?O60b95j`BsR=ablDN`pIuRYfVeZpuAI3tt7@-_0gg2=|rTULR4lW_nYX9gE(YU zlf(c!VI=bFw6?%=>72RMP=j~$h`7^Vn%$-R#ycgpn4b8+kfVv)O=dxM9`{p|wM?Tp zz@!%AOa)L2^DD~H>LT$m$kcu8eohXoyAc)4DHEEsL`YZak-T9KFnex)sZgoITsmKl zDs10lPm_t&T_+l2b022-jRi&DdynZqLR@hw7V@cl`YY@d=?p(slL(_mrO1cnQG={3 z1J9qHKHMwb1aa~Nkr1F?fXrWc#1UU2C;VXl)k2+-9bcdj_Vb19T@n%dyLqO-?l1E- zV06MEc|!8k0=`I`8lkjTS-}j(D|zal?0XtwOOaA0q0A)}FabTga*M)COKDS^#$uF< z$oAg_T)moF&K-b(0t|Hi^CbR9-|~O{^1o;*{~pZzOO4CSzv=7if%a&mnNni=Z#A$n z|N5){kYWCZf!F`}4gcStDe$3ErjUs^{l)~c;5I^0h)jPYN0RN{VRDJpKpzpO0<7$h zf{O=#=Wz4->d8I5Fy#J?pf>;0t?W^X>~b#)Cy|^19?2J^L3P7l;|VmN{I;EX1Cyq< z(MZ{vM{_McvzD{9|2p+AC(4Qj$sz@$gPl3M<%=k8ydqPgaT~z%W#vG=i;HIIl)!9} z83-nopF0#8V>%kh{}fAxz}+LI96h|vir2i#s-LeIhN>vlz6N+~zol2tPEvyDk`GL@ zO;Rd8+-4~7l~PZ`{wTc{fG5JVNZ;RjbtDoYi7C#88tEnLDC|7<=O85bdpdB(wfui{ zMyrdq5K~MC{MHVSk6FV2Ld_FA0L-Q+759^=Xu9=#{QU`G3UPEt(m(>KPh_iol{aLQ z-AtR} zyuLIM$7>8?xG+-~VwQ zmPjOOI-!1G1NYFnDkmwi{VeW>YccM2{Z%6@PnGQ|;z{5XA^ovv-| z5Ib6xmp!4<53@-iq@cKzi=}tx4eQWXzSsW(#x32idzYo7m-&; zd7j?MQ*7s^<%Yj8w(=E&lA_fbm1!G=0AX_`6vfSuXwSyH zO@mlij@>If6mpp!hBCn5(f`PxL{ma)y02TUYKEyLt> z7(&!q%fFF>=ebp8-ZZ?aUV+kM{((w%o`Hu;P14AJhxtUa;|`; z%7;`c_j%PM(kwSQW2qTc!~o!(5IkD;QQl@E`441&Bg>&lTnfi4(SyR}0Y|)P!k*Hn zT?F?TD_eN4OD6@`#5c@Qn=?l!6&N;_ThWN}ggVRL(>8jypS`zGPw5 zK@M>k#F`6m47DIoE>N51TI_P`#q{m%m^V*!tf%kT$7K7+4-O1_7Aj^kOPC3R0@^nu zKHH{|cotHEiTPYUoz99R^%cz7G@IrS@?FV~Lk-5$dJ`G^x)SeNHem)@KQ!LWJHlt8 zysPW&k0hVRF$z}Qg*VPg90waz+ytqDxHHm1US%hDos}8#9mjK52@TG^k1#oJjn!h( z-o-hxw4lfvuY@pqI7y?>^AqZ37L5uZF#_jza5g``LF z=duL^TO%~YbAAThsB*%a5__&t<7>U3?6hSEn@okFGkJ-CxWdX+75 zBAK@7x>r5H2P-uNjCIS}02XY$5Ub`j9<8Ll67!30BT16{y%}3teGYEX^Y>wt@*_ z2pk9HAbeDv@i%JjIm7qlB@5cJoqwUV>NnDRuERT@08?uEOQx&1C3$h%g&I?ir*(Da z{0A^Sane#EjKD2=_}N?8?I!=^w|GZ+G0p3H&5jr6HvbppIu7C0}#^L*A5s z8;aT%e~?rJA;Fm@=iSy@m{)2TB9`OL+VJtpkKf&*As0)RN< zYoQjUpf8N;C+J(@gR|LsgKA3i(DLGfTbyDCQu{jKD#K zDR1&*R5GV@-)zSkH(GlL#w!8?3Kry=Xbbe#1VH7cN>L#o^}Q(1M)|izl<~f#B^)A3 z?EMpj z7`294aaSt~P(zNVzc$FzywCoq{Ar+6vP)5_+nw_ZM_5GE8Gl2+?>S6xxXdE9-pZCJ z-bSu=IYpTiV_LOXY;Emz@?J*^^YIiuI6#ftisyiMl1~ERi%mrag3j$8Bt+BO-~X~% z|7eAK|9(fv{My04W*|;%gmkK&VqB*21BioM$RBdaGcz*$NjPh2DuO zwUEF9a3vy9+3oow(vcbYYhRA@tt>4?CBZQmL~d5ga-S0c2Zn{+d%O=_&KFf}@{FX9Z-^<#P(?tS?^q-ZyZW--+<)5CunlJo_ATd{+U0k;A1vocK1npmnyf~ zE6U;OSa9cxi$t%bDAf|NFGCB|#4Gd#NhQC7zJjv$B&K3xN+EYj4YKs;ZbnA0yyG=i zuWTD(-jsd*VwGBkfRb78B9?MzSUm13Bg$dF_GrN?$8GUK7$k%eieH`Vg4-P57S-@^ zrnEpKe+5nJzl4j>9L|p}1`Q4~)8j{_<-RF{$j{H3I)VaF=rWYLKlB4itR=YVy^{@*$}rvJKDwCl|0X*#qpsnZ$c zW}$^~SlEEpv06B>U8(JU=t|ZY)6$fH53}l*oZ9hG-hQ^G@Z>)1$rhZ`_tR(5`j35X zYLS-sQEh*#vUTyBIQlsa4pbT?4 zF@WC~yArkU16{TcPd63^Hpwt1Hf)h9sg0&mgFAchj%}V^NnMB`4uwX_KgLVYTtzw#UlrC*U))6K}$` z-QCawPRuo{^EsubeR!bt*-thVsk@ma5k*t>BFFfjxmDIVW;Rnbd6raRg{JwQ1hs&3 zJ)>E>!8s`f4*)AAihiN^qJ2`875lm&_8GXaKDE@x7{S5~M#MaOOEyG&i@Z_yIi6{a?~h2zaSi&> z*$M*23bl#MgHFK4-_|ex>kV)zcn%?ulmPBEL9Kz~LbZ&*sre{32r0%*Ymp_#r3l~F~L zoC*CKZ*5B{tmf*vSc8J;b-Y~Hk?gc(3sxQ20lvr#R0D5f*UV%N!)_$|+b^bW%xd2~ zH{}`}ae+0xGh0?H@b9^BG>???{*R=>N$VIlYhiDW@41@M>*hCvwKm(Q98L6D7~G(( zb*G5)2sPqyjosdRR{Kb%b%V0hfX8-$5rD&n291P|_ugT(L{mSB#rJ%R<)9+5E4{B& z=r#9yW*A4t>%wg;_S_2GTFO@gzB^wL(bdMXJfV|uqw0oGH={X2!eVmZ2~jHgcCy=5 z03{`j^43d~)x=TI?sZfMKPFGJ(_NzmmfnLx4nJVPeQDoJeq-2G$_q3-Bo7PtU3`8F z>x4P~J$*}Yy|^eXdi0}UYr6pIHBgYRKNvz9Y@WTK1Nsa37BLcd%Fu-|W8H72mc6Hj zgB?#8cpkL>!N<#BOifvG&8Li@%ai143Le{2N%mbhc51SdlS^4?@eSzH4{}V>bdlPo z!p!sA!oS3xQ8U`y;Pj=jN^J-I#%9dpSGz)M!m$dH;7C{EBEuJ>fWV}M$0qmEM6~@P z#77|pL~<*;VvWb!#YltpPA5QVEsds#UZPpn)IeVIp5$b<>Mmq*@%8+k@?3sfgnHYs zRZE3BE#?l4I4!=g*Gp+~r%6E@Su& zbX~5ejd!wRclzti9=G9w?cWUt^Qf<~NkK_ttsSzr znVDhd&11N*ieCE3z^~9+xbUNWDRb6IkC}4gH^G+z0Uy*q)BVV)_61O~v_Bw-0G+xw zwio8-Y4aQ_kE}3O_;87wmvNfwxw&QfN;t&9iz7Me&vW@QzUdJxRgAy5%Pf0UQx1|| zxR`s*VEBJ1d-Jd+?r?2*0xGsHxKPoGL;-gc6)Pf;!6G7}qIPkG)D^5^iii-F46RjM zi9iJv&7de~RS*#YS%RVlLN)9<0@ocEmXy1w_l-tWI!Aj`~e zp5?xu=e}`_X*l+M!cXF^teWYs6mavkGE*!W&W$57r(`Ejvl4>XlCfjMc9oLX&PKV@ zGQXDR^V#19IOj(!g-?rRTNTUD>`+>igClMn{(ErOWolxE$JX`-ox@AW{@ufxczHnS zS|?w^vRAx!w64GrpEHYV?25y6R8}UDAt^^T+NM69$nOV7vUr>r zBe2peG{VH@S*O^oi_|Y2&Kp`3kV0!eaPRTGmIlBq^Czt<&T1iu5;VAExBzE#fL9?lf;lBij8pILjZW0?8Q4zQiB{1SVxp zRK~&Q-P3*{-=eZXrLh5dOGSultW|N1FreWPW6w`~3gcd`M_lGK^F=;gb=CuD(>@a? z&fH+}_?aWPc+lB5HE~=WL8d?TIH78g*&sdz`(Qzux^HLz2M+UiY(uj5IP<_C?M6)n zUjeyH7fDRF3Z?bL@q&d50>21~DJ*?G@<_v;r}pmx?^MGQGZlo6JzfQC%fTzwJsnNt zxfR`jvLi1SQ%g2QfTiw!_N{eYr{~>DJM>x0hlVDxEAZ)RbLK=PNk~f0u{v;Fl`%>Q zkVa3!S3flxl5;Xd!bG7|E$4aQqB{uoPZLG!rIp$?g3Hrpi?9}61+dza@oLU;GVJd0S8%H1^yT9$^SptdvcrvP&Ke_=wbO1;CoMiN)v5)nD&(u zpsIhPvg;bmy7r{^c(InF)Aqo|W#gb?NZnZUmgb;Z0~&g^;3S@cxem#?k>4)P_Kp}{ zIK&-`^(zTJEg_Uvx@BTn5xvm}d!Vr}P2^7}%*L$%v5m!ixI}EDWvchMP$ExDq4S%dmfW?^s1d8Z*zHt}j zAD5>UCuPZp6=kPN&6*>0xQCkrjri)12{Y_GdNfl117KlGv6|2bhCiD-wT!I@T%wZ}wcwG{CP0py4C^U9W|80l$t;6l&uh zMB;hbe$2e$`f)IYl~a$#_P~%Y9Qk}I{uwqrI9WQQop`CaB~$de3X1qJ^zE23|0YM4 zlc5YB1>CHO%Zz`6I5X#7rJE#fZzfRuKvp?d<~`AfIs%8x)QWPvO6)IyfF>)w;H_RU z#J#5&is40PS|0BAUkU`2Bew=~1Rc5Rb7g?=L7|?L`O9d199Jm>kXoFJ(jaN_KmU6^ z&T~~b=!i}GSAgq(&%XRO88U*$4iTs3F=Y1r;5u6-pCgFU_O9{retI zMzJ~4mAX%6?Dsmv`LJfL@MEAzYqF=V+8srX4Wwg#;o2&LLtKQ>jm`yhWi~6Bfh{yJ zncZ-A$R(MRT+}tx-}4Wk#h-S8GH^llO2v>RSY{Uif-L2EdufUyfh0X#~Nqk_D|&A|D@r7SaIb2GYYVIWB-NUG9) z;@Hq^Fppwx-T69(AEbiC<&UFvCPtbT0zMTo|C;N9bI$EY1ju6 zaO4xOR~5}LKeD`VZpxC2C!dqmj%ToUiLK9Mj=U`4{8^-7%qeq%&Tb`CmiB%1-5~- z`fQ3T-)_MwKI;@ZA|Dg(8-CC>tz|0>f6*SP{J3vHvjEOF_Es(A@XFCYEw;CMah;B-Q%I_T4H(UtbP`JF(0kjSFp(=LZy2>&%%G-k0&7l?{YKs?;V!bX&6feHl9QF zFIsSOKorO9rbTl@Y386gQE#`{XTfW7qdg!Nl$anVwRoxkZ@vZ1_nCj; zm|Ct6sQFqBOBe%(AqiJDN4}1@5HSS7O0&fzoIAj8qEK0*7ATTs8^`(`37>jvSW%)f zuMoR)+@8Q$8Q_jlG)HR3e5SbrjS*yXC}uM25T728`!zGqZ4gjJ)iR0`?p(j*$Sn^Xvp9xPJR9bQ~mRxk~AgEKOMA4#1~^o|M_S)x_m6OSg#CavY|uV6u2 z#F`9%SB}ASLdv@>b4ZwV{&1GxbP76}TKb-*GJx)4&5}Lw!nd;t_>E8DDWe)yM?`xe;)~G1^ zic*9l*_D5hOqF{N*pl7Tr(Li=)T@C zvfI3j%&5J_T)}KJy2HD61x40-kzR}~^`FN49Hvi?9ssX^9pqaH9Mmm`ho4X{iU+MB zZMnzo#J3<8gX$kCH*5K{pfp@lJns(%#!YvR5w_C z8L2+$gN=z!e5p^Va^AM{=X-z43s!ewwXgre-d9Q~Pkw!D1E_bLoO{FNFTC9Rqc*;P zo?*i;)|OpC!(lW? zNyUVudQW8MVr+UwH& zFMp`APBmW`1e2*;PR`WLqluyul3CgfTb{e9_|i^0NMKZv*IkR)6Hj4Pn643{QsZ$L z!iD*e&+xpbz!dLT9t3<}Io!-w$dR4>k=Nd%D?YlkZG?jM{alUp@P6WQ+K07odXtSy z1DqclSNv85uS(a*GE(m9`FqQflPE;w>|m{xv$v(>#JkIqqd zGV4OvArXrnet7u6fNNiLjybP-6pu>H{q$^ig*W{!eFO}4EehDQ%X(^+J>nng;Bw!idgXy(Q)wX_-?k7r_%LX8 z@0yJd3}CT6%~dcT$_&jQzkRL9GewzfclUXqi$iHncM4P zKVn7r4f_2PQqRjsgzIA;R)}>=96UJ-SPMx9@Up=GkdKLp0foM2NOSI1R=e?iZA6a{ zIu6S34p0-dzoL0X=nGne@-E&dxa>lxPY=H`GZMTv4(qoldso7!*~U)dmfKU%RF427 zwI4v(5B9XQQYsu2m>OIDVm|Tg`0??XJ=YGw0}ECp*!z+Sa}*smXn(qi^zhvk$An9MXc)h;aIemf&9)jO}9&m%bIfe zv9_t~5e36y2E}kM*HDm->EMI}1f8FG``AjmaZSRn*(q}`f0KjDj1oEg9-j^gETG$ZsirqEjZIffH z+d8VH+xYV>dfW3~Q5bU*+_^`TM-Lt$GVRKe%aX7U0bP_nbdMVvk|?B@xXjz4lkQ<) zuwXl*XaN1Pa0Y{)=~RgPv@03{pT%}9*P|#|K$O~J)zzPWv^W?hX0V~DPh&)x{y~O- zWWyYQ&14-*{oqwa~#%i&LIeU_fbRX~0{BWm> zMD4#QD|?7osTa%uooPuYQL+PYsx zTeqKH_kKr2r0m$D2tB(1s(_O#r4ntX)m{JT{b|sHIp=7zfr%r2UglNq^;_nYGXCsI znl))I;8n=;6`*GbSL21dBX1WRPQT`Hw(LGrV$}LTVGh?B_sFZFR{zPFJJQ?jNjXE) z)6@E*&Vip6kkTX{1RH>U?Yd8EDB_~3bwdIUx1^~b0F zSctZc)2sT?BJ9wh7vqnFB}BaRK*N^hX1Bto*=Y)D^|P>74=cE%vh++-B)u0s+W1V~ zMghznw@}Kp|8?8Z^r)z1MkcEwt^RPW${5Y-1EPXaQHvYlW1r=EO3M-U!e1MMzfay( z<1%oE$6Cc2GMK%}^IEX?r?J3{qzK+r%kLg+c-lbT1ah_+{Rn?2)Sxm^f3dI&wcDHE z#;EV(vLK)2vzZl7();gG{Heb&LAJH{^xAx}7%!`&|G_V`N>oiGd=A*(-uEocF&1EQ7ot3b^5mS9gPGCgzt(3E#o)aG`H_sH z;@7pqyycdkT5UBVY6qQx89$R&?){QC2{X5Uo?c&H?kP9H6sIM5Jw9eLZE_sUb8~o- z#CueTmztP4DZpty^niS}jeS%KjmkoUc>+MsrOmxn27Won#DKVKG{xM~_E5yBUXfbjLqITK4_e3~NjIMfM#J8`Z2F8-&fxC$hSy@*~Egg9DgMQ6#;f zm)%EJp~kRTq$)#J=Pc>-!qOrdHJKJ`PSFi#=fSQZbb>CE;TZEUA#9EK&23|^z-pPs z&s5-NLDR9Rw0D9IkfaEz;6r4-x0|S(nAf%r!r4R391;_HmxH8K9d+5wMg`A6EjE)gqg(_ABX=$u%*J5+(>j7Hva+Fl{bE2dL5sz9u^B9^ zQQkxoWzT~(_Ywu*LuJ=Pa?l)O9r9gPvkF%1=4BIbcd>L?9c(%;mUrLgYsH3UvmgKH zOS5VJFzPeckCe*ZY9UGu1xFJ?Dfm3z#M=8|9c`G+kV%y@%rdP#uLmc zBd8N(>|Kk(XWs<2Yr8jL5kP7UJ0#nWSLLnDv~W+JG_}h=PO`8D1zbm0BNg|tUm@Su z3;A6dB9|9Px&iF`z*;yXzYYoP&K~53VCF9~L9__RG=a0cZQmM)v9_(RJ|5*oLCfM2 zL~^C|ZJ)iT!vo=b)M+2sJq_>V?)F;Qhthvr*+v^Lxcc57jkL*UOD+p@N1>`zQ4Z38 zyvZm@1QZ|*R1+b8&9L5EIq7lfTSyHREEOTohM&06wS(4EK}cCT1aIq~+@(1HLUbaS z;)C@G3KXIB+cwI(Y8Rs-wxqat1<4-a*37r}f(mEqn^{a_w=s=2I9seR&l+VFi`4HdcGG{wMxe5Nm%Bno;3@K>OAC8UgWz-g{Lpm-oBYf`W!y zDx7zD-nBjOMJBWz7q)n42gzfV6JN{iTxYF&W)#4k2XVGK#8q{h0WKgq2L2)Oh>7dt z{Z-e^31K$Mc3{U$Z=$u9Z+hYmdd^M+O}dCaqoLe;bruaGlqPY4F(r zU08Q1cL)jrao)#9FIVGuJQ^hJS*@Njddc}ZF3BQ_;4Lf8$Z~X3Um@NXdaoo+!`RS7 zWJXAzi>yONMp0Vq8ruB?wnEh8S8~Zsg>Wt6C@|I78V6mT=<+GDkhGi0FZv;hC-Bi>|^O z2y))UquDSCk{ngWU=ju31!qJRGP5@U*GzY574TR$Cf8m@nFUuC31z|xRcP@NJRZnm?hSN%@QAPz1Pme)PWvvNZyj&Z;I8KEL^XN)! zCvr8tMow{r##pLYxD#QuNMZ?n&hRq{bGz9w@#8xlAdKp*^aX((H4`!no>RfBQzyek z3y^MRi4%uK=t&{A+eCj=Q9jQC{Z8*0yH|6IG#IM|ipIu^l~Wvp(w#M);EJZofm$S` zJf7lZ4QB)Y3T!EyZ(gHbem=KZF=*O%4Xm3cN-l5=yzAoUVhIcoPWt=lpwUyZU>+(j z=c|l50l_~mde9sA$6P}!b^&lI*R#HunSWZq|71%a7 zIP9aY8R7rIWYulE@Yk!tp%s|Yj(cJnh#@oM@#`8tjk|*PQ>ewZZGKuuvVSWejOSQJ z7OUS&EuOK;@^^3gKOZQX2fqPqzrQJXu7ISPEK<7@oXsOY3*tf`q`#Eq6-i-yE=V;f z%|?UUU3sCj$0rEv4zloQtxUw@=dkjAMGn3O%_#&c!>qgiOM&ZOUy%PZko~V6$4D3r zV*KlrVYT?J8VW+fRcJIdSU~t_TTYw#qqxa(t{bpWnY z7et@CRLB?l=?L%f7mq!zfQ$+3ruhPPd!u;e43vK0Ik51*O?Z**)-!*@k}B%FRj}+H zj52&ahd2enrR^TgmtUawYGrBy8@m2EVOEl@-|2NkhorAq;}N6xV%raAl_&GdDIgev zqkuK7D36BL0@)TV!3G+s9Wk)VHHv10}aeT+H%gg`ps-H)D`HcY0$sxYt3-iAGPZ#_D_Hg-cvzPxVqV~VM zVE&g1+kb1X{hxpK6&giFZMMj5m*%4N@g}$yr;r8l?}q+C;G;|U8V(;;0m0~W#Mz6o zS}i6tN{e!!uGolcMO>X-42MIm6G9F8pvDZ{6$a&>j=!X$D%pFCmS~puP_i7Oe5k=v zauBexTz-WH+aTrUz<&a7$cw#=_1)4&6Y+c|r-=rt54aJ6o--V9$434SjcUc~ww{Cu z0xdrciySmzPhr31SSU^PRL-pnn|wZW)-_f9QtDzp*R{t+H>YZh<{Fd=Df4!`eAY z!2SUUrhQ1D=T9|e%uZ>dFF3NA%F@Vx7rN^O>yh(O18btSQ0VaKGL4rtvlDrAe@q#C zu*JWSgKZ(kPj)d>e5l1U2gZ=z%mE?wf=GEy=2y2tY1)2`oWkm@I@fMQ0%X~5*J^#I z4hw5ZG|lIaOo-W+*)_Q- zMkE2;N2U93bfz-`P0mxnH+JdJV5_SpVTW(>n`sWiFtfHy@>up|z^mY-xarZz*`Ypl za7Bf?xepPQW-?+4qVbtkFfcjFP&N8Tn&rCK+*W z*livbIM2TwVD5-3=)xEBgTo4vN+`n-?e)zgHoU!%pT+B7iBOGF5Y8j9QqWa+2nMLq zR34tj!Gpo&?O5i-f+G?Qo7wmU{gCbz{}*h#tLQa!6`aO}uJBZFKVOLLPMEmA#a!Zf zZy#MF$T6*%fiXzNN%vpAx_ntu+j4S|=!OjTiH73i$)U{APyeJ`7BJlmO8}`No>6w( zJ?|5~ns&3rzJ}A-Lzz+2`tg2LEl}#T$9|L`oyvCcP#mr+Vy$lGc!BY3QQ5*dL$`*R zB|d#<0QAQBzDN?f60>UMgXf=!uG2M6Gb{pIx$%eG_*bXv$$nH@xq4{4OhkkO9kAUkHcFXbhRp6d3;^9v~9c>k~wOf*nS!s1r;3@uP~8IqO5aAZyx;- zRL%Ux7N;#nF?^6q9H;P&fQN?f&oHz=YP3yVE*S*O48pUq*Sii`_j5}yJOCd87KuzD zL{ZTnme3yJY9;i>A${R#$oq+`Q;ruM-okQk4J^tQP0^a#sq4RBkC$ykcD`3qA1dm> z4Q2-8xrOm*1AQXWlPvA` z8e(p&T29lAKbifeSK}Xs**qrkt>@^2_hh_IY;acq^D)8SV~)z#w=Qu5Hji=m#;CBL z#hVML+7F(2b4IgJnbf?vid^Wn0?81ou-uUdwn_3Be{~+6Ong1Gue0`iZEuC-v)5wb z_A7vWJ~{lYeOM%*YDXDW*CWx>Bav7uE-0YSt!g|J6K^n$yd!GXxhw$U_r_5r_P!__ z%91whPfLj00W+aK7k03jObZukqSqQipy?LkbS*m;0BM3PHmXU%+YuxOV!!VtxOcn!A(^5Im!-xN4xh7CynY3*e-bc#_ngvApk zQ_`vs@g2lxO4BJ*j|*z(z)YS-U@4eK$oMFkCs@wOZ~j;qs9TZmXTvW!&3s(BR6zwkdOZ%=QFw?S z9|4;Adxa((jz|BO;{c$`Z1FGlvC7`eF;3fDF~M8O0Wc+XWm_ukF*2Uu*P;WTjv^_2 z{x`K*=D-Y_pZR<+1Mi4N@!z~+^~-7BoxQe?x=?W>m=%Z$VX6?%%k@I5hP=O1M#>uZ z1O&up+|9l9jK_NFqt7c4i-i&JMDX{^`h%b*mR~rS;Ki!qPx($copcaxElJyPKzp#@ zoJr9S$`z0!={47)`5r7owaHZ^}0GxY1^efa9!l;udih;0N-2c1~8`U z&4I1_cQBaFS-WbY_qPi>5BuLtti9$OV5=(o2a$;3Me+#Ht>6+HT*|pk7nY3tQ|(*S ztPJkZ?AUvrTq99X?^wg!%(K^lbjaA3PGFwbkR+DPu3f9xtVIv<*%Lryz!{Fu`aw8w z+|S}7#c4!XtbTRPC0&oNa9J@Ld|%>$bp4QH3d(CPq`$;7J;RXh0mj_W6~FPtE{nqA zigT_V_K*xt=eEJGeaMYA!^3;!3|(wFL#s((qi4`VE|#J5T{7~v2eE_p6yVB708udZU|Jm#Qgnmu{I1REeNFf3 zao3l?9J;T_H2Yyr54w2j{zAmxq2E8(^UAHlXXM+45IC=c&`r9yLkR}Dlbj2*UpuCl zH!ST>3(ZRVD*GA>+_h0D#0$x$;YF|`QQMaEmlVg|%_=O!Ys!G5(m|D9vD%UP+&oPV zj%fZprFRN%WW3VfI{+X+tX1<-Mm_cpVw=G1CjMKxoMwl6+}b@i!`$-OOgAm!n>;BQ z#pHXMe+#u-ykj$8<=Oi%PO@q=CTfenC8dJ7tw0mjYC&Qv@|Uq*yEccEyo>isg;8eX@=AHG9w3@j}<4O(CMEsLN{DrL?}fyza5<)dOkPP|vOwb{qGN zrMa%VlruowJ9?IPh%bY)pO=Iao0e6M(-@4XMpz4tJ)?jMQa=|+-#oJ1)kV4UV**t- zWeh(eUJX?dN~{}s=0oRkBO2+yelvgm0QfvQ*wGr-lj%tV^;@S1B zNYc78)gVwlWpYfaB^SdQZw`xk3OWqe+-G5K%K5e?=itBrEF3a)k>uq*2|91Y7KrhT zy&OXwUQL(#R7w|~PWSa!B$1YYJcIxv|L+6b8YT%2uoyUqUoy5ct?Vn#8Vkvq^LxLEfTh~C+&|OIybLVvj<+-w7M8Rl>B!wehd^n*S)JU z_jYNqcMjT{|Bej}jd_Cc+UHpmEL@KtYyqqeP*7p3b&-!~1_WN34Q*wi-&M~dE$|}p z9%z{HO&(AYe@Jk;c&lVx+>`TEv=L4^11=#quh38~JfamYG+eP0!~yNv&S?3wPz&Fl(tqwp(l76Xmh5O!5=_mJ^Qs!x7E>(`G9%-J0`_yu$jN zaI-qZ<<@XWAa;`W(Vvim!ECi6L`v(cccW57M;^IuX583R99^;ny#Qum4V>_(}cY~F@jXHL( z)xCFQj727Wg<|Jm>w`x%Ea&&eU@UoTBOm}~zZ^`K-HNl97Bd(hXdov8&g z+OeS3M&2hED!n`+O<`aU>v8u1Rrj@@)6$*o8=b%4LplxP-AIw`HWX;+yv43Sbc~&T zZ_$(9psqv%zb~%$7cDTX%}eniN+ky$`IQ0p=*l#WzniJKOrq0ELZ-meArvv;NHY@M zGe;B_lw{PWt=xMa#;5o2M6jnqiMTy{o`0sbQl>v9?!<=XMm;}Vo>=$f-IMz+9zyb^ zf!^%)v50fy0oHjyuDae}B@Iz-ywh4GY z2vE!6Oc;8D<{xf-dCbS$oF^+#P{|;Oi4`)t$fXkga+=I-Ooa`=GWpm&_>q|_$YJ1V zj9*`?3h&I8TbMmNt6XX@#*%r9oUmdSHK_DmN*V!b_WwiUi=>V^9%XM6*8l} zkzQ?5zqo6;e`TNxX1eE@XNuO_$@uhKtM$Xfk-Nkk#hX-o%T?3)o1#&*IZozeSR7m= ztZeB9N0on|9RUdkHRXA19xb8(8;Hwug>8!M_RR`h4@T|Bw`#}cs;fN<^v~Vqur>wm zjxne{COBOH}sj;uMb3~m_R$Wn^9P4v1Sk?rr? zY970^bNY@_{6to8d%pK%H}bo{d9^OVJYPP1-P&p?>Qf0}eQa2Hql_F3LUW2LmeKUj zooNg2KZ_sAO7lS}OS1<1-kox+L%x5Tgh#x&7N}bqAkm6nLwf!QV{SjYKa3JM08KWx z{!i>S2eQpWrEU?Bdj7Vc!>s|{f0y-e3r$^@N<`O*_Ib1i6X(FpMA<$! zS0908QV}&cac1&&arh*%_X2^56C^h>(yx~*Ldt`G+LIK{I3u5VRS2MG8?ja`$}sWLet0vNB3$C#A{@E=Vh4 zpqW~;IYTNrJU1=E?XL(Kxyi~gSj)Em zlq?0*(07fbn@>CjZKdbpt;rP9M`4Hr5^f!~(RHOR>OB94+GP+->ir_Jy{9Gz>{Kaz$$OW{Yo5 zT{7b3>17OFdx_L^U0qDOGjX!vtT|7|IL;hY8|lI?KrS4%jnA*ajY=~QefJ6Vfus@H z>u!V8IKmc&j0D(HMyMMb^OhqO2Vbt{_hQ`=Ui)+%eS`K1k{s8xntI}AzJhHyF*w7` z`rdQ+t-W(8I|xYA2mGz1Lb+1{~&I|<%3WvZ?r+gXQ$9T`c*EM=Ms9jSTF|mWg=lR ze1f7yxtQ92dcc3SQrG7p)0*}-SeCuKJj>|n9L{##XP_{U1&$-rxkqKZCfc{v1F(X@ z&7rsg)@Pxy>zA)#FziM8uzQihuw;;8*9>^XeEI|&5VK1od86T`x{*r^!&JQB4QRk! z4tpH9g5E)OVYl=I->U*T)zz6_H?9}|gRsHC7CsnUhRMS2I%MOd`?n<(T8DJ|<4e@| z%y5C#%}*9yYhmYPdTfr0Y1m?%$VMTsRzgW>`u)<67QUyP!s)7L)k}Kf?hv(?E2u%e zg-7x!COjH0K}iKJZo>9?eTm}sp`GZa1vDyEFJtBS*X%x!Mg`<82Fe5V97e@sbvY^GTf!rInDq2h!*?6G4qLX5F4StRm-0*hZRRYQSdJvd<2zBzbF+$ z%H5w6zOCgCIcWF7MWE<1?bKNbb6D<;Bs1M6e>H^Il_%|MsaTju!~Xe5(Wd`RVlNUV z|EJT4`*u}ex;^s*XN|3L9){HHOEwTlF*W9478*@$~a)S5wUzDklW-13}wG!F6q_8Gqo z*eeMS+Z>+7S?k}XYhHy4>wF&c- z>0Ts&nAH0nP7J!VhsbQuq(f5yetBUcmo}dKz1U*iZQm&16q!aS zS6%{8FF%LunByO82_b)LjqUY4LO?R13xZ@7^`$R!(%(JPvb6kIXJ!RJBOc+#NGfO} z61-#LM50L3eg5ptVV3E0#^QLso$?o}b*1k^^}aLDxva3BgAKAjouoKewUD(I*>Tg@ z_@H77{JY|v2tA;b^AgPTPUKB6RrmVz46LqK9Exm!B3#>N-2~gI50tn3 zw9Gdt{&CH-hY!<==GU>4q7C&u^*v2XUq?~$1>Q-<6QCjk@f)OF8Ic7>l?W7 zvk^iCe*D;vwA$&_XOgRWUfD29w0scF;@*_;SDMt`lXtbsqQuj|0Eylg3z|^(@wj+& z!=n*lM|sEJ?|M+NEkke}dq0l>^In$Cw%8cbFxl)M0B*}R=B zSg_cxHecb?naI0ziVsc&_m1a{ov+1pOd#A+!v|M-Vmut=6O*QJ4H*vU)UzJzxrA0A z8UdZ-+Q8Hh06!PO*6mc%iyXzsdWd+}^(Zxs^a|}B%}px$xp0$Y_rZj3ZXQQ5L)I4( z-91Xs2#b~V{JGF+W-~TnAeIW&w7ZW2j?FifCwj$Qk5DK?sPqDWbZ{qp5wEOzgEjTQ zq#M+^_lKK8Y-p3o#vyDKa^wb|F83aVHp92-g-0co9<>Ngw<274v=m6+|G|v?H>m}C zPvzx+tNkbC`(MP^>{bp3`=D(UX@mec(hQ*%3y^sECBB(U5W zvl&?>~R)=XS;Af zQSPI=H(OqQx)90^at{?>&{w9+{OUB|QkV!7m_)fSA2AOxCd2d9&8`6G@hLq87yRB2 zg=DG0zY%?wfg7XgiGb9f90DV$ckP7md(U1>_6ZC~WSRZ(kF4V0uI}o}pmspr9UY^^ zKf}k;!Oa;PcueaVOYn_K85FY$LZoZUv^dg1?Pce4nALizsCS-4=ttXeJ=lY#CP>{_ zoc+~7g3=z{aps41)rd*?JSkSTCc+CZc5E`f%)D{%|V6a3;mM5GvS-t*TPN*T*acy zSC$%0^gspF$&=hn0U+aeb1tEVI`tB|0lw!)p&I%AZ?ovFh7Sxjcm8D|zzKF3#)MO3!+5Chyef_N>__4j&r2Y&}`>8D-Ejg3Y8o@1Hgw&Wj;(qJMVH~cy@ z8DCIHG5h_fotTh`ZJ;$%Oy(8cFJrbYLsd@eZl&$O;;n-viCUR>+UC(csc{|o0aIp8 zfEKTsf*@`E!#i)M9gX#DN8vDW<|L(nI@IWH7iiyN1Kz#Dl%8cR#YceG!z(jTJuzAAc7@(nar*Vt+%?&qx3p zjaZKL5%-ySI+?qjlpEKR@XfjmLpb;Y!@{&iCCn5AR*8mUmRPt{bLSX2Jix|2<9Y6{ z5c`87O(#1p&!}8Z&yE&yGBCS=%+WnZTnKn3v)@@8qXcmrM~MyX&`uk`-(~5SRgh=t z>DjIZZ{ifPja5NOv;t~7XQd)3#w}->(c8su;fpWi^;(;JU-R$QL|kmpZ!1;pe7hNy zQ_5cXopvAVV|cW2tiWKf{Rr0dE_^SwB-h4buwZU$82g znKgs2klpWZ#v8URH8OkoC7Od%8ruTV)@Q9r@m8FQC$vFX6>G3IgSC{Z#mr~ou55%W z*b7s8pb^%oAPhD%axSNmp07&GV?38y+lMY|KfLtUv}H!Lx2P3so%yT*dtXs=STB6k z0Rl@NR+LYf)G~CGH8EwO{=hqe7IrIc-Ft$5c+Zr398b3gK7cf=z4>=5ncetfFYKT| zrkT`%tKFz}(6!aL^cSd4QWNjgtc*;H)q`ENTH7tarvf_?P3x zrbv5Nvb5oN=2-q&`t&^K<J7;q>r>g+ zjxfugRb&_>nyTtyKB<)3V3yuNLPig4nFBgwHu)TL9r@~|J%%0-k}IXK&-Lli$T?B2 zJ_i>cAp0L}q_Tv7tV8MMsgqr}U{=FQ?Lla%+2Hv*n3fKFhIEhyx%mc56(MM2?Z1_~Oj5r;^)l zr@+G6Wf>doTLibRQ5jV5oVxM#qmj&|bSkFSWne@{B>xf`PJqtareRlkr;J#EIjaZy zoE1!+f{c%*9?*V1^v#O37|4q2KE>lYa+~OP!(EzW0js10GafKsnFG(!nWfZ4rRq88 zw?%B6?uHxB_)|I1f^b1g41PMm*3(aiTHZ@qxmB!OR%e#D)#HY#KxdiZLlLp@e+$Ho zyjRg}h#>4soj%p3;z&UY8<0{eC?0AVF1^ZKZU{wAchoDuopR3=zPt}}kZRq{QT)K4 zVMzP?4x6j!i9bGy>onP?4=b1wF|^UXqVC2o^cToNC-hKpV}roObj4Fuh=p?gLHg((C(=1e&ARc_p1_?MF-B7=&!FtU*YVqL{5!?M{C`C8ASBETbWbW>0 z+r0~p2bfHKk`01cbIdoma#p9(Ueo%%5i+gs($#LMHm2Jk0QiSULH)5QW}F=fQz9o? znabzVy6@h<*ciLxTp!S#sG77=4OD!HI((SChd*lJaB#PsNZ%8cSS(0-8g&v<$9mWW z4BptaQwYZ8p31N=xUMoCg#FD_yS@A6&q6zP(!}rx5Dl$wc5~J@vpSs*>KY8XG9vw5>J06QjKfppW(dm zZ25eRKA06glCR$e+*V3&ELOm4ADwBv;3IlyT!1Vsz!=y3fFY1=MDe@Z#ce^@o%WrB zW-IZN0km_639!7bikU+n9`-G%V>yWoTLNsR>}2Wj7S21bL?HI#)2gW5n00TZ{Vuoj zc|FnlQ#3o`@)-0XN~@&6a>%6x=*;v1cPq!7X>xD7mm(2YpMk9ewV73P4~jATsED-6 z%YqGB@9AlaA|k0|3udh|DCNWHfrs4>rx>t6umtOIOsX_beuW%zjylKHr>9e~K4U?y z-MogbHt6pM9PXB?2|o{z6WS$q@R?opGLG*sHLe#DyCb~H`e(9Gc$q4Rd*&!*tbpxS zi!Ew;1b5Yn3Ix#kVVZImBwO$t~Rl9riR^aW9&8d|ANqtwv_a9}7{Vm2q+_)GRrobBI*6!s{)AdHHZ-bs~iw zWk7jIXAX8ZgaTRSs2v}Wa1kai4O$Cb@3UqY1&uo7f4KCjj=oKc&72|jW$$gj!8eq9aDA!>=}2!BPwd;4xXeUYFL3W$bA++mc+RxWh%>x z^uliAf}9>k@5sC-aSd(#=~NIrh>oOv1gr}kx5{hKDe7%#jlQx~0n?3J&y=a=(7^;b zM&1z8+YS?uQ)Z>OkzKs~`F=3!3uVi|M+LQaZev2lt%TW0LZ!!|{zk(VUwzFUsB&_4 zWhvp4cy1nb>REpoRv`9^G~esKW{(dlV0CcNeYQ8_>=5&d?Mr+@A=+;~6Lx&+o%1z` z^*Hr?(PZ+EkHUbb=ASW{IXU}SxcDIw|KSscH18;Xn*NDg1;Yik`?3|^hIJ>O6c$5@ zVEX8%d(7}dTUP7e^xl3dm$jLx0`=laT>H4aEDuai0R05F`DD<5 zI&NA1MTwgNjKe-H-A@-`F0j;i#S}$X0ZHTG-qKl?QG5F1jsr=U<1l3E^-9EgBHd(W z(KVAC^XwwL?PKq)`SRqWMDuaicC@J{_RLK4+*ba(qmY!_{P4a^yA7go5zF5h=f2UD z_3kNqYfCRCN@F<1b;zO%{DV!|X{#fb=Ldi@4+zZ-Ckj}N+Ba3G8*zNI^+1Szc9Ixo z!v6>&78j?4-qKW5Eq`q=On%PNKa3GmUQ4hpD_Db;CX;ztgDP+OU;HPp&xeHE>+old zdvFZS$40AEJyU6I)R`B%uUO&7BjaJbpTal`zfbFM zR6o6qM8|%MsLwk3`f+PCok_behtR;}A-ym#aNjwkIyvQ=2)_LmvZ;X@g32%um3wfT zLbTFfENb|m(wfF}C8KrZN+N0L>j>}BkBt#*USP(=bb1A3ZSq|uc!2F z3J3yeZW*-0o{=sLe%@2GjOMY7rFB?$E4@yd(*hEZWlO>CYgGPQI_MKif@-A(E@;9E9 zr{O3`Hj2LJW<*OBppAE>?y>*$y7OfC>D>l^?f_p2a4mH%j{aR!ur%?^h#3zt>#D&j z#Alj0<%saI932JI}xXCErxDVWa>R2^;#9*&%ri=m$ftFL50M0h9!ptz=nQCETXup2m~s zoaDAVprX;DvilPWU~sLTTe3<8H`eduzM#*%&(H>m1-WtSI$9#*h^_K?^aMz%to1mH zTK0Y7{)es>)V5RYcHiytho{IQQMV zJ98abDh6H5c?mZGQ{7Oegyj-w(X$i7$dH$q{^(D^ky@u=* z1;O}A4UGo(gSz&&L3xl(E4ra$!twFPNMNSzb!cj6*K#I+;>z;O6-I8bpawMa^vY{% z0k_w~^3nDO$zS;$++=m&vKdNXDA;JK7YuSikc!ed7TI~_ro<%Fh8{y}QuMtNxWG9p z2tB%F%`?&JfNM*lceD!Abg}RI_(iW8A!ak zoPi*rM#d{97l8NUVC>mh1178p{0^jYVSy*_*(R&Q8NE+jUS~mSkm+>K&Rp_yYBWf* zSVQvb2+G(({U+g5Y;k9RklmVZ9hLq01R38J%AEER-UaQDGM6A1&JLU{o4XVOl7FR8 zJoFX&4LmHqBu}YpaLFQpK7H2?$JPAqB%D&!jASs0Pyi)n?;njAk61TS;myx`{+0S8 za#T?L%?4gyQC0Q}2{oUn20}yCi+DS-N_+{+oesO@x&3Vmj^W5dHv_Gk)vwjz6wt57 zIx?CvXsf`nj8l8ys4pD&Kmkp}EjV%`r(_j8Y!^ zQyFNp1v&Y_VA{*wodBxKDWEe$h2d^41;}^_JYf$*oTeZ8%yw1XsxL4}wv*StPUch}d@fzQG( zE_^S0@A_(%<=Vl5)hkM0pOfM19Z-Ra2Jd2`Qo`vX6z0(x@ot3XA<;90Ic`KO1u8x> zx}M0+pFpmMQ8K?0MobXN;g64?!nnzD2~`_im@{Jw{9jI$BkwE!Q)oz)rXDF5;?+`>1B*B|J#fkyg1UGWF2=nSFrEr}!uSD%gM4oo zGS>A7OuSC=a>j^o>!p2;o}jV{CJ%!OHJpRJ{I@aY3awE3bFS-{^bIl>rN6{LpCMA4 z%ov5u9qm~BEha2}iq=vj4VeVfB<(@y|7HFYU$53GBxXD@9$;3@R?Po&|FJOf)s@M! z|LMzrTcR=ZbpRrvR2Twh|9{pw`=_gJ;iVmAyzGYUoS6+vX_^j+p?y@oHDrcd?6a`D zI;gD295{9RM!rg1#;zWhAo$GrD|y`ITt1+-64{g+%1vY5*0ujQ?imP{T2oHc3l0Q7 z(;72hfsEaY9hUwA-m(qugE37@&_e5gKs$@T`DwrTo_n!HN-#$RyjN(QRI&^)1#nLa z=BN*-87WOFRH&U{!N_96Icii%FA910q@&V6^+ZAP_q#Sbw(GmPm`-&nbUmq#QxpLL z$tl=~*5>8panK8{u7cV@--OK}lt+=$N%X2~!P8$~#Mh&;8usb-85U7pHYFfK{T`ZW z`%TUStIF{PD9ddcbIj(=(qL0pxDbB;SrkMw4Zh^rw01!ZDGxlkvk$5Ejr!3+?B2-l zCSQMv91XG;?FkK@cRTAfB_4l@-~9)Ei@yIBDSD!7|C|9A0AIyaFoz}O*8LP-Hb|8^ ztNedYxCx40f2hK*xq6CV<`tb`WCIEEyWLKPx8TuCgFHC|?U4-7A^}{Iz`x}HGeOqE77_Qqz(|q~ z7I!-tQ059LdC?;DNBVj*smIj{~X3+ZfUyJZR z5A>o)$d_1C*|ow#)iMj));+!H-j6Tp+3{tDPg2nC*{+%$bug%MCe4__O z@PYgp?AIL6279azBH44O95;`2vy(74Q08A~xO`j}o7HG?Ypyj7L%8{(D5h`aQp%s@ zPX;Qqvc41#PXPZJh2fOcZU*vv@}B9kxuMYP+RXW$T|F$;eA+a2&5kofH$MgB#^Z>P z=v=@^ao7e=ljx%(UzFDVBq?mxzVW9Z;$u!_(3`Z>>68G9_^`JpAOSKg83jL?Z+Tn7 zqtU4&wq^NdfJ4#$m-A==D1a^(u~yM;z_ufCARak&lqzY_^*F|v7*vH3sTonRylGqRQcoa%q3ZC2UQqi6f@|F5(C-$`Na z%pV_LRxF2KJZT2v`ubNmE10m>ls`d+1y=K_xA^l^r3W``e~V1 z-kCg3QbX4AW$QTl)Iqb)K0+xJVx4kL%BX z9a987UAQr|;4lm*p=-@65>1?LbK%=7m%ayQA`mCKyW5aK80IlJ+EnuYN`DAa$@3 z6LmtsHAI9P%=~2rS|99u?kw}Lfndx)BsGwk!+HyhJXJOBtC2c4TR7(ch_Wz8TW`eT zB$G@e9N4%9AlC=2~z6DfEnc7)3Sp5_b zhO{><#B|TXlkNk2v0}sV_5nw;krc}9+-b?rIzxpSSndJ4;by(jR4lfGiPM&2xC9bR zK51i$(Fz~@1s=~XwLjl$Ar15ZFcC@M$nV61VF=~d3ByrCNdpINjfSa^&;(cvv_EKC zoL^Bp85~fXKnzlJnk#9+Y1^R}hJ6 zIfpsqYFU*;#;&C|xSMsv4GE>Q6j+95k8@_^pgqMIF94JJb8f7UF)?-Rr%mJXp8nhI zGcJTjauYW4Rs)fH0V$=Q$b>%FRL>cZqk||s1|v{o^gvp<)fVAFA*tSU`;XJ3j$HCZ zWoCv{JQmWd-ehzI{~&o%?HAs~nhEb-Y@b=O`rdQzc6S$mZxBIlDFzHD4&BwegO?d$-ZemT1WRU{+@BFP)o={+fe* z)A!`aar%*ad)LLe58msAYP6&b$M56dd{Zwe)bY&g4gD*cwpk4bTL7D3Pw{$xeK_dc zqFemO5BMhgnenBaRQi~i@IiNAa+=(jV*VBDBY|BgyVtxOzs$C0t{d5mU2pxm-I1;% z!Am^4j=!wFENEqaIJ%+53Vfoe(RfKaH^OQ}GIIYDYsX(TJ|E3Kf4V)XY`XlX6>zom?tM9>^%=igzJGQJgWf$14>B2NLL);^&22Jky z-BR_nY*5)7AZ|TinoR3k6poumJx9UZokxxGg%=o;_^a*q@!W%5$4XXV(cQbB>n=jV z1%A}Ginoqv08lC`bG{R&iv{!04VT!2q@O>m)op}&_bPX}`Gl+G_->$|IzzqnlWoiA z6yoX%2xe6{!*IUe7F{xy#XtOH75FHjp!7`2Av!A2Dnh zq$-^Gl7U^19{Xd0uideBKw+z3*bC|2{cbh8vxkNq0i8PBX@I8IZ9J9)vD(-?CbKu( zwCt36H{hGW1g~yoKk+da>j)wj|A;h}sX~c8=c-z28r<6<)Z&h$5%XiEF-`HaInbt~ zBc#LdZk5UqN+0y}PJ^{WX{tUeU8E9H z`0i+JSMvPQ506Pc&grt(7ib-gGE6iTr~qRE(Dh5kWWrsz}rMwOO{T<#-r z4{mxjfO-Tm*aoOMC!!PU5tsFRP3%ebn*HO3EHt75w6)5suBpfp8MI3{{1F`tBtZuA z$ak&oT@pxxQxL^^6&ON`dBmdptB9Qd5%jV*1nJ49LK&(mO!sIY&* zK2YDAY~K|tQOvnGI^TK^%nO*ohMxJ*{J6cnogZ}x33B#c;N2J>*~6HQT^B|sbsNZf z@s}kvEiaL8f~E*F9ED!sYkd8h-5`HxVZN7lwcjwWGA3}EWP^_GGT?YDno&c|BQ8TG zKMiZR{Rz@P*cQS}X?>}x$e-U|A5|rX>62(w+VA5#m}@$Tw970q{@kmqh@NiPUa}g^ zkWpprkiHcqg_CIqpt;_=J7VuU=xoKgjf(w~<+g}waV1ByxX|B}Iu`K=iwG6>sF-(Y zY)KZ}<5~kex1czxSKE<8z{4WDh}AkHJ~cXUX3Yo4&rn^vTxhP2dx*0vf%V_imDv@Z zO_V_vK1id9q1*T!n$ZBJAeeBvwRxyf9P-H&4G(j?Wzoo9=d$39bCo9eC!5XX^NJIZ zOs_N38&n|rauM9-A-Jp&w))`FeTg=KQw{}5Oc^~4np%Pf;Vi3M=x}b$U1GJTC#7Gf zOTd-6hjU;JC}2ffNKQ<4=&5p_9G%T@v&+R8E7c zH`%7lu%O2Pvrs;NK!yjPTjis))219j9_V*u5uruaMpVQpI)!hXux}hANAe~W#7uuk zV5aFn^I}-`peMqz|0DyedQygW(<0P=RGqHll2M|XW2bkB7UeygynU6r=3Q3wItWja zi<}XoB2rikl6uRKU=^$A6HHGR65LAOv7~r^A}Me_z3Z>E{@-B}K`RO_m=Wz`8Bds+ zYYDluQ`);o-b3_CWY3CohheJl07m^MmK(!bCJ!LxZ+$&dAr*cDKpFi?*w|Ucj~yrA zYXVfRRs|w+z@4Kav{loJJv0}44b{H0(uJ_@f^pdmyVuFAw?l@D&iUehD$&-zkpl|+hKO*+o7kI3_x!CsVbjeU&qkPi3SUM>eoore zdrftGVZZnE5e&C%?|)KZLTVnC0H};-US}P;1W48cdGi~dk*ziB@U7Hq^clf_?hL{H z3NGBRoM_F~QoCVR5Wq2_OsB3- zo`&7py?ghUS1_C+RytU~cU*0oEGJ_R!Qtxd`maAU6^QOk=lH5@u51p2n3+d=Vq%>8%Ij5gEwx!WFZCP_8 znid^UC4s4Q=n2meX^H(HB7bD^xuK%F5g+!?;4&%9X4Z|Sa&%ZPP$`V#_DvQ2^``h= z!pud-{rMdR&yd}~vF8~~6^~6jX9=a;iu@_-6nF1>Ut9Nk>aJB!ys!%H#|fXxtKn(g zI1;0?(k%o@wv5zVu#&!jsFUQ5dnz84o8R_!uF&~Fl0CPJG*{fu*Wkpjz8e3SCd$64 zi$AmD)0br~0P*w5PN!vUMj7YDbjhXWvG=Do+FdWNssOkw2wZYTM#_Px9W`LxnkZ{I zZE$!-?kw)#b5k*sH?#pg^O3#2WOwK8uQ4m9$jrZz((tEo@pVu^U5yWk)o%j3xVD&J z;1gdZBs0?1#r2RioCh5%qIIAYszsxKiIzexGk@i%gaL&IIX>V4rUw--L{$COE-Rgr|{k>SOJ~E6RuY7QF^@HPy^0gWqcY9 z;`mYISd8z=p5HU62B_(xK){Q?wSNue#CYjmo}d@NWYge;JX3PJ@PP83u&IBzis~_JYL$Uf1U_QruM@}u zzo~-@l2Lk&FDo-MLz3`fUe8F;iTrP8uDaa&n(>xVkj;)uvpoIZDEgIZOj`gc5 zRG1<~o&j1IJTTxpq_3$PcwgTGcNt$co#4svq7BGO7jp@VOT+(_b#)5=D?2x)9Tbn! zUCqkn^i0~~1wBx#l2rpjr$VXuCF1+9GwV?W8Yj#}nW$UXu*=Z1Mr21?PU0Fe0XylA z40^}_lq??EWYrd&(UiLC0=URl@r?97AEnl@)lh~^{PQ=yvBfMw_5L;nnAr)oOCv0n zN#^c(HBVLY#?uk-Cvu(u(#Nwwtv&T_TR@$^^}-|?K#~Q8s@dmXCkI!OJ78IFmKsFs zC`|D8NL0U{+KRrg*n4o*k(z{CDo7PTRGRlbx_K&LW`oa3 zHnf<1axCI9xHXm=t!8$t^oDENJQ2nBU($oAw9vx_>ZobN4x>`5~mz)m{ zQy+hLXi1WWk}cRTd@>fHxMm){_(piuiHFAre@YorJb$JXc0vQwbq=((7*IP`Zh#9_ zAb1Bzp6E+Uko9vYZym$V9Spw7 zAn38s`~on1mlUwcV@|H`nOhE7(8os8Fpg3>$VEU>Slt3q)$Nv=1s_Z#-Y7{4y*Uw~ z*KGnHfvjE=KuDia$wvlqPb&uAk45Y@6_#x!k;@6b@cn6+h5m8AK}PIu;AmY`gbg0^ zb;(#HK;MtuhL{KknVScqWBV_5W1cS1ipwK;4JESfTJs%zjq&+o!dp1@yr*wAtsI3N zyZMpTfo^@TJu@(ty*}zbv_6_hoUi) zZ8ybfO?;y*yW=d9w%Mi!3|lYw?8EDMaLbALJ);7aYei_@Ww_WgTXXcY%FQeeA5BkQ zIq|77y>lM^J~UPY8#ztra&iNG+JXgciI8du>2Z^wg zJio>ndy~3_-hgIW;;U}=+2p-s%p^y9vx)=8MHP^Gs5!Ni8)G(&%?$p9Rj_IlX%BMx zWzZhBbUXKTn3xW8+r6+%(4Y@nhJ3i(*$#{HlMBy#@Z9M-u;M(y5&||i>MOYy8rjS* zusm9fw>p19*ri{iD?K=pl^$}gh$|H zdL9Tu@>MN*0nZQ)`C@YS1tgRD8Glo<+S>?|?Hla|^7?QIH>M42s;j;bdxHArqr=Lk zMM=YTu#LnsEOxHtd1>$tTIE?f?yUVZm6hTT-WMYu96UL$4JMv1Sr||q035Rm0dnF# z+zSEK2|7XH9bkdfm+DV6&IsKB&%>TqTaEZBe_+thlLil`;H>9X&}unduM=!XPAZ{5 zbum9tt)C87b~IY8k`0OhKBsstDB#X7k!4>4{F<$HxXNAdfBmDHS{5ShLqkAFWBq)W zzrxTOxQhY^QDifBML#9wGKkR|WWB5He&?vcM66CP6{kl4rru^FEFle^%t%eSjMD>F zB>}sf5@;A&o})((N!4ag__XYyn0+vW^^fLw+1{Mz3ATsmuFx(ZdI|Aph3UAOrjc6go5O` zsoN&>RPD+jk__Ec5>2x|O~UPJ`7{y9A;%EAf?(c-7DBDUvrM*|=wCOi1b7+Sq}J*B zeYGLikkZJ!^YbcKf{f=?b?oBr%|WzhF@U+c<;48W5TYg$1ZBlNoU4|StZ$s*ec#Q} zt4V&u)i#a3TO**f=8wBAG1YZ6xYb}hsCr1p$iSvuV%26F`|BFw7<)&C(EOmBt0*i3 zs178Hn2TBaf~UA87*Pwhs*I%F$VGa`Wnngm89C`?dRF;J3Pw`vSm?gSm zB$0h{i512mP64XBL&~Rfp*D63ojXl-;fk4r+UkVW}#_BieUhGJe!Sb1$unY3w4PM$Li6*!?#^*4|N;vwbR2+Q};Rky>Q ztmVg95P z%^3fSxFyc4ZXta^q9kxR9|Wgv-~_xFVuRi@i-iq~l;EZJ{;0`Z_s+fR9LkdQe!_0C zvhan4W-NNpFRFXV*xT57)4xE|klL}oa^op%fDLHIG#L?-AL}dj zvp68x~fil%QMGd-M7Elss zHxRk>P5PQler4wPL{cdMjR4TOH71%KSRG7Vc<^j*SMNVIDX&QW;Y8Otjle3kN_HIC zZt|;iH*SYea(;i42XWCb{pSuT7XVm)QZU~DxETd-iH`G4()Mrk4E**c=e2~0LbD2Q z+XC;+33NAyAK~mwyuf&s*NYBFh65tD% zHV0KafLP!;f~`R|6hpjUzd24oZYUI4zYiO;#L8joFdRAscrk`mgDm2A4VRcall$m= z2BudB2S#9SijYh^*$^2p9ucF|vMIO{pP1~F|G!YZ{%2i8OKOFZS6hhd6$2y9V`34R zNialgL)wtv%z4(K70cxVXSF)wf`tPz1L-}6qbPm_6BbbR{Re5xFDa4u9lrU0CaV3P zIi3Fp>BafmWcqA8n0#9Z3UUx=S4Vj{X2a?lB{bkQBLh!|#qH*F4+HtHWLvZ!WF)_e zA(iJ=mjn5MDi+mj9E;4(^Z907KU#>XMGkPGbit$fxFAT$cf=|Dmm{(HW4FgkzQ@JI zS8{nm5v9V|6JZf{(9ngd1#t9IR=fv>lZ#|0_5qH(hFs*M5hfyDW*!C@h(XB0R&af^ zS}Q;xrTxK@6%OV<&+(Kt1(ZMnDRBIpY_l~Y*gNQZct=Yb;gNR4Rzgx+yc~Ltm*Yzf zxj?BBOed)tgI2*1$$g!-f2w7O6vz*Ef1x6-^)Rj zdaRe_+iibxoJZgUdtT*QDepDLg2XF>)S)e-UWE&(R^apx-=Qvkz0*Ni)*%7MwqL4Rch>`0j&(cspJCI zh&*t-?Q4U-vNN36i6`3v~|#>s(FTl?y~-F>mvwO~{{jN!g`1ja)+({VcZPhajGyZ?t9lgW#(-J{<_% zhkNis`B}RW=HelxD&vi;UR}l6$mhH-VkP8T4>DPQfgZb@FXKyvUu}nBqL)eMm6?-j z&tcLIlh%RYZv+>?AJI@|E%Ahe;z46bk3O+irsf__b^x$|NWZ1gIs_h1*Cii$;PjBi zcv`>ETp~<^AzQon3nibpfOJYQJ!EAu@Ffx4XJPFf>eQIPDLYh~o#6+0REb^#!#UyL zZKT8(y}D%=2ltSgiE`!pD@fX|E8Ku#>`ygQY5a`)4CE4jT8!(tTB~9}q2CaukPBv+ zbBdOO8*j1Et=Zh`6Q)8{G=2q2d-EMq41n#Pn-A;VXo_l-41feF=XZ;Do~311A>jOm z@zk;>tC1^qho?*D`)d17}wD%Aa@2M9+^DyRU%P!N(!y~>{m_mIOK}6 zbSD_)Q=?i0-C!xoRuhQ;3&H&OpMPPYMTtwsJcZbKHE~@kPd*DM;Zm34t{E2J)jQMr zM2)H{=!roJ4}TWdR4AIsnaMUa7@XGoYS`5sAn+W(S`#p=M%JcB1yN!*Gom+wlM-Di zVDoDSQtw$zC-L-$X`P@e4q2zZkA?GrPB#hTF)q*hXQQI3XY4#k326aik@b82pnA^3JoL2Vhs|w?K7gBo{9?vdNpD=TB+$LbIh;dU0jiWY1dO$Ow*Ql|x5BU)Wzf zJdu3%Z^V{8BOzlT?MVD?(#6<2j~5g`h&!V0+_}3?@9m89$-|2&kjE#ZmF{ON9j|5V zi6kGnpjeZ+^IrqrTS~oY;WeU0C>?)%{5KM4%`r@fa{=lx>D}?jzm5!BeL7q6xq9!Av_D{#gNZSrgT53{CyDR2-M|!7hA-!m$lnr&YNzgW1<6f~Y>K4h! zaoPlLL;>>I*t5r+s5ch)7^cnp`;P|}X{tY#1jX$~&XTn=hcF0+#-EDep+n8!k{)4Y zfVKRkns_Z@28`tLX8C*Hn)Qf0dpC=-v+A0Kb=tiZps9AZh}1%-KT?ilYot5nmo6aY z*&k=W&h8($ZnDmCQ?K+kSFyOH5luifHO6QYIE#Pm+Q&H#f-8&g;;-6$sFJTGmnTc62DuEYdZJI ziHoV7BYu_mU{11MgWdcJyps=9DqCf_%3pB~?GfX)WVH>!kljLdr-rXmJDaxgtIKhX z2y%mRJVq%J1H3hO@uD)rN$1TCaqjK@SHpp!V}!m}85;{c;hh{AymWq!sg8MfLi92b zoXJ2sRdlZ>e?)pKF-0f0qMoG`2seg zGVK`jH-q(jJQObdQqHmFvC9u-e?H<=k-2ae_P+6miG$X`#)e)a$6Z6#u?t56XTzMs zb3?TK(#9FvGo<=2lcCGa785@5OOC%=xU>!wJYhH`-M+<#R$rP9(?D96(_c*z7x)ba z+AWxLt4CPx-d3fAyCc7i+8q*(FaG#ZMDVH^QuQXwFOfOFSEwEPsNTYBDkTvBZw>CQ z`-HF}G$wGy;G+E%l6f-lGYQ?c1o~~B9WWMM%;g_Yh=HOvZk@~8{TYx?V;HQ)AQ}xB zYD&u~lb|E!ap0Vau0d7MWLo6~%-1ge%OnQ04~mxSt?nX@F*geIIgOBKj}ft@LQ_x_ zZy2<)kHzO(uN78*v-S`u<;46W)*$2hP(F)D|BgbG;r0Gx^?U+^I zboV;qAjj>-Yy1rbGX@nMXEz9o^-tA6=8K_ea@#%AOor7=8 zlVrbhnn!16n0)uHbKAUPndBHQOuI-mBx+5k&@X!n!xdatMD*xy}Amq*>Yu%Hkc zD3EqgYU6ZwsfJ;x`4S{UeO!m3&Qg9W=%*cekm>HX0Yt|5#vR5Tt-$6oKV&@X-ZZv& zI@7=EZ7*wOf7{LN-*m2!b+MifhJQiiWaEV4OL4NaKs!~V?rvnZbB?~CuZ!$UmH+@3PXw(N>4!kq+S|_J z491Cu-j_Num^i%@w0;^Lcx+_nRWyNcQ&8NLylX-BuXY`JP@V(2Q-aGc1?EZ<&L1+S zKC<|!Aingh>WiP`p~*A#2m=s)J$2;rZkPn%53|wv2sE*eJ zAIMx#HR{E(nc%CGS~GxrR9AX)x=lNj;iGn;SupTbm~mERPoSHdE3c|`@jRf72SXnz zCQ@XKCG2~X=bb;Clm&{fG9saC1;HOJ%nO@8T?31;oSmBtXI*cp&=`;teL*fZmz!jo zO_Mg?bk%#4buAl6W^)K8y4CE|tc80&@;;(>lxX{|XJYY4#vKf+mqF$)l6ONad?z{grOnW}1w`7^ugFOZi zdX9@c5{o{fu7u7-tpS^6-S!=Nni(*p-&WB~kZ+y&m{oiPt2nDlx;wCvV6ht_M_u&h z6c0?s>b&F4!Sx_ss}a}ok}F@`n*5F#$gdpg`FPou7hcfFDhN61xS+h`amk0Mf#Xrb z_>C|qca#R}BW>L1uYk_byE~X;hXkjWZJ54u$m~_J?%Q9DQMc|zc(%2)3!~wi9kXZ$ zVR^}AM@D{5N6N_6=#rZYkM<;`R`!aY}-g?eYpv3#oi6xr=t6%#QqM= z*Cnfw$Rn!8qk6r~sK4?aM(cOKI%4bg(2CoiavHwBJ=P&|XO4a;-nPHg{43!_6vqp&N<_C>s13VkP7Op{JUyyQu>kB4tN+ zOR^&)fk>;1S>fi$s!%Or1DYT*msR=NL_onXyr>VW29%TG`N-qN&~aD9L({49;((+g z$1$+HOk?C63x6M%PjX;vo^#D-Zsm(KgTIhS)1C7WPmGl+niIh*<@$ULws@7QN@8IC zQ{dHw$uq?Ehm(KEY{_84)aO13@|m8~Q8VjO$e{V$sFSfOd9^(UuO9_~_W7~{**tw+ zU;fmCuDp}(qpJ%^7$7!elCme1U%w>JJYv(q%A1$!+H+d39+gnN8NXcU$a^_rm5Ka( zGZwn4V0Yg9CI~9t9xkb{=UwvjH#zsh^dYsxNz4lOc#=HR^}`kEI2y21t9Y8tzj$f_ zSV2H{wdl~YP?iZhJDlU}OIRqFS{NnammvyM%6~!3A z_h*MzsiFF3=5ge`&rJZ)aTvXP6ykQyXJqXwJ=Noj4cTzqTP27}!puH&f>_yLc*4q=KIhz+>9Ef-%iwj(fLeOJVQ$FU3%OVoZlgdIRye z+4YOGUUf?y?d?c~F{E$e5bBHgH}alCSg*Lv**f~T!X1FUq-p`V&>>oZe|k3Y9(SuDI-Ig1MU1Ky8M(X$vCA#w zn`5!2^p}%?UMEipF@{l+M|q5A2EC4{K;Q7o0d}K_FaR?y)?5cZ(2)~b4l<~N|AY-5 z<|jd^pUGQ4COfsMU9x8RL*n4?0kLWq>cxHtp)8Rt@5yx6j^-($V8ndE?&Jb$ zu@(#|&aUk}FQ_+33eyO_*+^K=%D4XE#vgY6U1~-E%Qt)sdqZmXcc6a6f(dDv6q0;! ztXvAgPaw#K6{j?X^PVJvUd4bIc;RU~pTx`o;I_Z=QOL^1xAjqmIwyO~X3TfU@kb_y zMex%<^};1k9M$mE_dA#X`|}o4H&%mJ7uddko2RRvbFmSB1=nsdClnpIXFRoUeA}W+ z>Br#U(o|x;G~Gup5M4law%MLrOGJ5^zV3fP9+~o5I{Y#8pEVUnV!#BD2f-N5{R6kOrh2W0OCCj3F%?XfiJN4zpg~ z!geWO$X_BsvW0|_$?vP-y~ngE1uHg9uvIqNL!S(YQ2d^h2M$83LeUg3Pk$Je7-TAb zf%D85uPh(}p=%eM=YRas|10yf4pVCu0l3%s;$aD|ag-E^^+<8|J`Z6*4DZ+`i@ATn z#2dEiPt4`W|$>9d$)4iFkb)7XuPiUI|pHImG+h+k6+|0&ivm3u0j96>%CL{?6f6}Vb@ z(fwYl;73Jt=uos9V)`h3$u^B=c6kFf&nTUSQyT@Jd|5D|xoOG(UJDUV*KjtP34c>F za{FB~nr3~vXEbg}c;%a&CxTz=OAWhe9HpK}Y7?3Wd24_n%^ji!oMboGR zTmX&|PE;OC^=wkFGbMHp+_=Sq%-dsN`(SsB;~{gwj>#hzs})hlp6u%+Zd+v5RG5%B9;Fq>q$b;&^QXPElRtFV!mG+s#9yiQjw7$u z?i)8ad-~Ozs+hl#<3wJik<*myc8E{%#$(ZP!0Z=q92tPw++FOB4WZEU)wOsKKz9=3 zH^jTN`-(T;6w7=P98DefgbHoaM!aa zyt5WcRr8oevtt-0g4kA1OZpo9)bJ(QA#)qvJ-3hM4ZC5{h>>(%sUg3xNSw(^H7$Rn z9u*}Et1IIb7jL{#*eqLyEFOv4;)9L0NkBBd?6gp45$J`Ao}7I4-R!+@magLNxYE6{ z`y4#A7rZBuIK5_8BeWeNd46-hf`Ux00mL;7(gDf(CHh(8lASK6eNK6kz)x~FX6GwT zpfeR($LiabA0G2tuV3p8%G|8mGmDznE;m;uePX>rPPTX8g>OJp^#BZVLGrPHq?SVU zF*D;$=j3?DW8egrM@px>rK7w^Em_VFF{WP4pLjy>P@#va<$mUPu&RW1^}=?bOy~ZM zOdHFY_vMLt9^(N1UQLDnp-2ZDdGdf^g^2Rr;+DPVzjb9Ejoxh_%-%Fwp*#iE8?CM= z4`-+Rne64&S`+L@^KMj)rn8Vh6>C;1h`h8q|2UsU#4oJf*Twu;RhR;e8ydXyV@&WQ zD6|72`q~ow@@G}Yx*0S@L5g1TbqEtlHYSW3NPG^QT6!=(@|^HW58H&Vey{g}FeG5& zPg7eJV&E2ZEOS-DrWcXs+7-fMQPJr}y2E+d2S$elEwYyXhV%Mj<1cpL*-3=NM8?7c zC}p!;Ef1f6XLny(rTXLPMZJ!VwfPSNa=dM~mOKpSd1x&1?+5K~SN<+HoGizR!N0P;CsCznWoLeV>=3%V9XW8|afg8IG6{ zZH)%?k#u%0CIRE{pN{P{x5J0}_+np5-Ai#X9xzj2cn0*hN72=97W6u=Y zUr12yv%!_V%weac*AsQN|0C5OS)j_?j5R=tvIepyp1n>cTE1_x+^yTR&Ya!}pbjcu zB`GW$N$l2a8b9w$)Zqz4F=)XnKiLnz5&<4=SOajl@ini%p6|I?x_YL+(zt(QU!sv0 z>S}T5V)y!XV$fCH-P?XgR^*wh^_MnxUqgObt8;r7tb@5KHN%Z8w>zDt%O!2Bjq;5G z6PJT$rt5PKsmwqj;SuF<cWifJHixFbN5R%FkZC*Y2`+C4G6xF(uhA); zMMs4m!r(}*R%ea|{u!uBmQ&a z$hVrTU7UVS_SJvQpWLpm62R1hT)^aLibHVJKyncl3c&N==PIpMF73&fKxzGK{K z+mLSHZZo*>{M3T4{7jF)sr0mW%fRm&dZ4qwNC0ekf|;^ysh^-ciCuyRJ&^#+FnHfY zA`EJ5F3oE(i^VE!Ic1#s9_f+56%I3nobG>HE801?t;OXNEtaG?1;G*N-L)^%j^C4P z98SfX5(a)Qx45jX@Bs#AabcPPuzUfGMr75c971N4bjUP%hZOi=%@LLnI_zGn1THqM zk=tqg8K{nF8A_iU;2`>p^Np19izdc)i0iV`38L_DjU+2WKHU&yBmoD8KH2)ebdzq_VZh zznx!$aJ+Y;7WO(dRATxU60j$cr)9=n9UXK5>hcpF)RVr`!mj3!+BTJlr>VOD1}Zf2 zwKTPWjMJOh3BAeA$A2S~;VTFhCD)O4+j4DI5-RMy%9lM*8`=H@Z>#zHX#z(LjL3`2 z)U;7FQtTzAsrqV`!Qk)|`3dl6)_G6wP;tUW_ z1z`~b{J3vxLSCsE6_C1k;C=+{%>%3KTt5KyxL<+mqZ;$TV@3{uM6)zjCCuqD5Y(DQ ziAe-6-wpZtfgFDo>|OV#h%_>_PMbgOu1mc$U2`D>b0hp&p5|C&purPYL9Az2o5DG& z6Wf#RAF}GC3?^SI;mM5bed!UF0Z(Vzd6Bwao;MF-ToP?_o#rL7_(|KV7qC)uU+PB!vY*LPUrY|PoKknuP$y0rchY`=Cl#x+2PPnu6Pa)_@b{PVl)AYsD*~VSW z>m-!#Db2a@3Z08~g3!1fkDg^J`p3$7(O>}P`Sk|(hD(IiXg-_if!$a0ad=k^LYbf!-r4n!iLD_2Hn3r{>Zce zPdLd=)o26z@>DVYO`l>Q5b~cR;x@D}?CGo-7ABw1XzI1l)A=2(eYQH7>3vK%e3sr3 z0=K~`w9uau@*P6_8;EI7zOznwth`J(j@&40U%lVJ9HZHrOQ+YSI~u|ZP1#q zAad|LX!$kq)K;=t%Pb5xOm5}~>@*}bkM2{XKY2v>>eKR%Ze{3c8#})&&VS0zc9Omlv-OO<@)u$&5>vp+V1c%@ewX9%c zysPz)$+VK`GK@YKo_BN}B43zO`H24(96Hnmzlill7RTt`RwGVL5Ncr{n~?jiYDr-x zK*gc{1{0pAJk8y8cWKo`4i5_hUH4fF^N5<50zxet|9ejBldPK_HR9KVV7CiG2S1Vctmt$-9wO9 zC07T2J9vXTW8K9BEXjEjBde77 zK_i7aK^`(sbNt@ToOW&vyE;do9N>luRx%wH*Z0?B&QB~s0?$zEcgRpJM!+PA)(3|XC zRZ*ada?a_m*|zoS9EgqGHpE4+*8(9ey*Z{b*(oyNFym%swGvPdx*Zl1&3A4>_QMgFs*>CLw(o@-|Fb1?oY5tUbNcb(TSUBAR*FLsD^X9 zDIEO@EwM%F`KXedVpqyF4Xf9X#WK{=0#T~FT1rP zsI)8tKG)`*T^qUyX@Bn|nx-n=WMiT;*%kY&7v*Lx1|;ae-fwwHRL+LhY8el=C2~=z zfWpuE5vh$ZgI4ba_l1yOujk=$u(&F1YJhO_*WhOz$g-MKiy$1HYY5`ym2a8*y$K>|Pj511AI4q*x))?UNM)Xy)3PoR=|-9zy>b*9^VE-Yti_ ztjM~(WCV|}qDT@q9CyicS03UKdsJf}$}_2YK&S#pxdrC{GmhIP1>-cyV2XpG00pU+aD04NINsxqV)O^`M-LEIrdw?RM9qL zGQ3fEIOz5psR@u1H-1R=+vPUEoqfbv9d%2UfA&aKD*G)wyeHUE8SY2PMn44l?%kql z^?#q$WAi+u-+g^eHEYrLD8EAUH}Y?jEogY21v{RSA6SKh?7oG6BVHswy>2Lk zDrhVD87G-;_9oAsQhO`+VbEkaw8dw?nNr;LJs)ZS(>!t8-$+xm<}gy9(ccxH4MsuG zYy@!~Xx$YSZiIMZ2VP=Z^xaSzLJKtl`bY!7Ne~yYN>2yQ8h(QF`l_zm=0WdPe;VFP zc|4_Kva3au31!&5yhk%QcEGd88s-E#ZC@4pTj4jWyA2@Nv4>zw&JR3;#+_XkaNzH( z#Wk$)OR`H@`a!yTlj;vuRqOvl+M7T%bw=N#0aUc2aiHP=qzVn^tb+Nz5jaay|>MuLC7h1DOFo#o$i4*> z7s~lIqX7m)&lB1`c`+5Fgq<^0q~1+7hJuGEoHd-7B1MCk|A4R{tAU?wTNY$nw#~Y& zNV>_J-Y~M=~riQnmt&SGP`Tqi?XugMEAtLWMqs)Xv&P zknfpmCxJm-TR_2H^0H3D3k#pi3$Ec_BzWg|&_UUF=O#<#owSS$_$|_RayaEhF!Uep zUMH>#DqT795WNdlFU*rnv=k<3*Lg4PG(OLv8cuM=wXlkK;@F9kOvB-)Q&-Hai>*HI z>ZwEE!1t2m1%*YV35@}U@xob0M|K`Me)L9$ zV#CWi)seI`8Ua2Q5n!OjBun#8?y{(C!)+(-KiB@VjTpdv=kPd(SQ+shv2&!(c%N9l z7b_*REW7h(Jtaja{qRBXJIgwJBJ%m-!J*uby*oe2n~in@_NTHU{|?`qcf2<2{sy*w z3>sOP$dGq-rnAMc@{6REO%1EZ9Ff_NeUCq|T>t)XLwZ2_5Z<2NsP!T1s9pJ8sPJr= zl0A`+zJ8wch1vM2ybmBZXIlN4Ro1Vx4h=ny%!yxef7O=b^Mh}9cR!;=CTL4XNc!o- zhkK|?loPq=ktn~l-k{n{Y6@o8WY$kDsE)czuku0CziLZx^_l4C`MHL9@tw}FyMxz( zg24~^$mhaQ$^E#;FpRg5@pJEftu~Gdb;hQ_ZFd@J1Ej~nlg>l)9znLTI$UR|Mw~5M zbX^rgw`aY4a_!hbRpB*~I4>my_{7+1c>}8#niXC$|3$GKzKz7IM8l8m0r(Tx>m=ZK zaNEXBECnHEuPlx%aQvfrsA-iZA~8#f<9(t@#Z^H}fL#s9*>sjYdbH8=k|VWVwX`k| z(C;m9TmpTgrJ%Pq0hHrr%B{MGE_r0Y^8(kP*$^o(7wC{x84`>9k_xRfnRZIm!jhYl z&b&&51MA76w3|C%mpu_O^<7=?*EnRZB+s1!D^fIuJ%Oc2(!-)V9oY_+0g`Wtm-~F# zd>yb(75~S=P^ik8gp^_V)+i#Eo9KM(BFmf7NAa-KArU zVs4zVv|Iq~E%a$Jhjte^1-^flGVNRW;@!>0ZliJGfjm6oEA=So9G7%1@ESKgDI{u~ z$2MOon1|)EW+$)h#+s$hZGi`)a+AZlqlTXdX&`T-VXdEKMx`GT~v0)xC1T(p0zGY@#;v4a?Y?4jT^j zM{Gl;9?6ax1Jl{Nd0eU?Mfo;$iS46h6ohVLf@PiyK(7Yu8}F|z&G|vM+0_>g*aG`% znQ+)|GfNJ>k4`#rsXo%!VL6IC&r*zlu}^IFK=7p%aZjlB4&u0NqY+y3!ie`=X zV6oW|{amiR)W8vdxzVCwuhwZFrurM_59EX##&p=aCmN+fmY;GYb$;R{HK~v9YT)$3 z>z7M`cLc?X`ubb1HhmGEqy_0eyvi8rVdnl_-qH&mV|5 ztt)Ff*ME)ngGPXsHb9vjFywoa&gP-|18gCr>f_qN8CMVVNe-32f|Q|KM}fNjIWu5? z;hg4q(ZQFf?p~?`0=q{LazE(`Em@NVvQ%Umdp1sc04i=bI?sSw++AaEPy~RLhRHO^*a0e8qd zgEQV2U|6pTu0*${02MSQN&vkCcbyo%_j#p<_Yzrfu}QEPSiVM zN-*DS&g9%@diDCxxt~lgZ*rC3S%!F?tx*NyeGl)A$_DjZ^(&IE4u>zl-#vxpwSW5F zBYLt38`yUTz@&Qk3b@X4GmjH9M=t2IHmzoiut?zsjcM~N!n$BjhFCr6E+L@uE#xpg zbYvU1Zo^QMv41eZuf&*dpK^NGJOs;jcBMW<@CTQzgUf6Ftweqz_onazXYAs5_8bt3?2B^>H)!q${1`8 zT-dd*vvqe?1IP9}aS|Bx-(?<}-|D!kU;P4Nd=8`%-RzK4swQ}30C8ju&$jI6@Xr$%S<9uh^MeLAIZmTdDKWvF zNqz*fnzu0g3&QEleJ^15uuiHNsZL<@o>qQ(I8K%7xLsy-)s1IeHeX6#K1#&{g{%2nxGLcxNdJSwFW^g2n8G<8s3QwJ=sWIbB#Q*cGQos2*&1E=%tMk z{0iipEGDzuO_dsYBKI2=dd~#uvY9BeS_(6&KdP7O8Leffa)olCTF?&|3@@LvJYbYN zc($cIRDr1BYq=WKNZdyy*wv;(bg;2Yw7@uK*97a=oQ#z zX6e^PujP{_%`S*BDLB2*vROqt?}@dS>#!znm7Ztc6JoI^P8z=X>RCzaGf24r1S@E` zqG$&UV2b=Jsv-$`)OZhR2t)S*du6#`W>LP0(ZxX-a%5OlKv6azhtPQcKTCV5P z@hXn`nF+63Oh^f;kMN!n5zTE-vq#+(+DDwh%pOhQ^xL^D>eYt;0h)6K$qg2s?!FTT zYP4`%-B$wbDvT}1llMcL^!e7ji1nU82OQ-Hk#?4~ne7Q3l4yjwTpFLJS5L$VVI(#; zlA|AV8b#n@`9u}#ui4jUgiM#5@xB46VVLo5(o2(%ZM^iZKy=!F-rr~Q$glZ>n{Z%| zr)0fNMgDz@o8{rx5(Lq3e#`u!XvzVR>vpjJa?7)wT`$nvp>x@dLs0Kdw$&W|m!Z-B z&49`OK9OSkKW({L3b`S~tbWo|i9*wI$379V)9uDMke$yjXb@*Qo2?c1dYFB)CSXJR zb7l%2F3oH#if*&GoOsJ*;_x7b>%lVGBc=B}GR~3Xzu^s7E3@nxA)DXn*^}eiYhjdw zc@C(nz^u8;ITf8gNl^d6gTfVbkAEFo0UB9$`y^SWW`@w_I$n#RA3>Y#ZR)B$e+FK1 z@Q4U6*Tcx9RQhrlV%TctM30%{PQ;W#1FKBJwS_5qJK_c~Dzj6=al6i!XB-~H@FTEz z;o^%*exbie>Qz=PIcjbUh~r`o*zP>zRTJ9*TZV4GS}rg))JcGlf2*zyy8-migJ7D6 zFBC+0If=Nh%*w1!_Bvf%f*V`XbnakT{}qH}C(IczC0+w7WXhg7^@1xZJ{*kh+blV; z#>o<7O!0=9Y<8Xylw^8-jS54c-Rq_60Re?XV|8Ucq^)Mk_QizwET74t+3%LdTT$Y1 zFdR*Wpj-lz`}WfdXXHf9cu)OiMO1q0HF27y#Yp87N)Dx32R)nk*jjuvAfx3x7>ee( z3#M|97oyD?LjJ=k-M6-;yC-Mlj45n~%qwsbkq2VoY~RwXy$DUD1vjQp;>BFG zK(CZ_B21KQ)(JSNj=Nr_ zkn?QmI?`!Sy`UA7PQU0P{1n(bpTFh7GB)(GRiDWjR1J4x9Fd7(#>^P{Piny6Kf{-p znPIh8K`uS7F9pyN9ykJ>1zqjH!`j>=#k?Ihe;%p3MiT=R09R#y#ptXMk&R|1f9t)T zs*_7A)B&Rh&V>4?wID^Mp_p{t{&W9cTggv}Kifp&xXedyuLnM|4yP8onB}=d#P#qS z!eA=oC8zZos!xKGv0=hQhqfkfN2|5@k_@NnJ-67eJlACfOX216lz{EBuKT4E9!~x7 zv7TIi1uAAxY>A+}@if)+o}!2od$fhqc*M>Jb+zZX2{v#%iMwEC(P?{}O!hu??N7b^ z@!8n!%P#ZuJQKSF_3K$cDD^-c-<*MS4A3!gM*_}jq%HAZw5s7vz11yUMEu)VWVVAJ z@CA9IQopg&{?qworkAf{gP!+o6lWo_Pyy=$6U68iAl%2U6ID+_ zrY)>=>Y+rJ>(@w%q@bx70mE?%#gVvF7twGXwg@NU*Hnj4Q|~!gYm@ma&WM*n$b3_S zU==v4juU%)(Ketd-OV1+-nEWt(|qY0$bmsPa=dc8X)j;ITn(p~B83r~Zc*Xn1mN36y{C}Z=b z!!8!*yq`OjtWEAtW?5vq=bJzMqFkA%o)0V`2yb?7oM;X>SIqP4z{Gj@eUlWTj2x)- zD;z%Bw1hD@Zw*N-95kWMl8#OH}wcgx3O7B=T{I z49>TWaXzm%G(7{B5j1Dz1?g4AqoL+bC)8Ub)AcM#>Ez{(Kn9%>z2wkL8!VPIHa6QA zXov#8xL-k5|1DyA3@Uv>lT?T)p(DeAJ$i@JfFX^grADttXpv1pd!^(!+)q6Ls-{_c zsEj<=8>PxJL%|10clVuzW^40=eDz_$C>OU*6JRR8EspR4_8@}=FQE!-ypR%El1#iC z150?ul4`8IAWBHWOQjR&9E*XggWhlkLr0F0{~vMl=?>Ya-SS@lnMqk{(&+6RsuT;Z zlH|04>ksKkq&m*YFv7;c7I}Pm>at5-SGVSwxULuCz~v`7uHBHy>5V?@zu?{6-hr%Y zQhhqK8*>KG)AmJ9lTAH`wb5H7lqgdrra{u}tH*m9>a{Q*E_MJjYQqUUX@uzprKr6~ zZ*^=4v&_E0B4a0+0VfJ)cNuLIM7*kKc}iyTT$S{*;Xtt&{~I4vu(Z2X>LtfeSc9D^ za_xUvJ{eVrE)dnN?tQ6W?hX9W0q%|j$_U%1rzT&B66vKC1TU9tmvW+WfHm3xXBwY4 zF)mp+FgKICb^kRW@pU$MlS})Wj2y#$^rcRt{GIT}mQe{mxUb2c%qc3mLwTS~W$mAS zd7n0r1bV@6(vt21zrC_BiP3!94dv4SHB2E5f{w5Grr_+?C{%{+NuUJ+vxMh7i~hWh zNZF<;6NVv6-=#WS+BVFnf-B_dO@44<0ZsnL-4O?%IyJJQ5cYsi+mw4^WVAc6reUSHu3itTS@a(0L& z054j<qVSjhRk@-Z;Tv*o%sOMz$^^Z%HwhY zr6B)8$h4fRwh%{>&d7BvKp1#f{RgSa0P6a(cx(ek5xhpmCTAu7Uf&HZGU52RArks@ zk^d5=q+vI*`xBp|^BA6ENA7=_eg^+qmMHGPw<+2eGuanhPDG>Sz&3AaEc&R!*XIMR z3^__>j@{Mt?%pXJct1jUX3dSPGk&S-j?*$-ViS(NHR$j&tAiVq9|@-Q*c055quqmPu@nPg=fb>Sc78c9P{1NwxprUkaSx4`_eL;AhCmfqH zKtLQN zdbki|GEX&t+1VR$^IOyUsGnWFMUZWea=}~TZ3BN29wc#PMWU^65>@s4lP>;C`21sV zsweJP7kq9pE6t@`#$tG0<8`p!6jP7Eu=>M_#})4oiB17u_R?2W3I!Ew#wQB#{nAHu znL#rjxMC}@d9RLcv>_c$!}py)b1gffJj~MWB~eazxAkqXF6V0(-8kdyhO_;uy0~v2 ztY!L9{yH?3@GLJVK9Kvq2^w93<i-Kq}kBk*Z7`x6iwlawa0}F}!fT|Lojkr`%=xHVyLGJ+Lyja}Q71_nBC<0pMyT zg{kyN8GM}aDy{j9y$Kb*C)7*ZGW{O;+im;>Qup3YzD=IXXN}sFk-;_?oVcdnwvQO? zHxWXAO6+r}R6V$9+$f}nfWKIlHUfm0EZEU&rZ(S5JXY#R`)1`9u9SzN7Mu!oQJjdx zUsO2rVbhUeIM6C`UstH2O{Epgn==4^2J;z%GhTED@E&I6p-t6KuHkR@pl$uv>^Vm{ z*n+p+1(3ECUp1BaTWtK5wz_ZOgTonu3<%lm|Adc=vgPCBPd}!9qjz1$KdR4xX%EKL zQ7D0_aI@E+8j??gYRgqj>C*qD|^=vS9??Gcdke>?};$$d+DOXzv#K;8& zI#qbsrXkLL}2u8y+Ry^BK;Am!iL!?$*k~E!VN4BB|;zEn78Mknzr-|QIlqAm?|>t z4nc^*)Bf{a&XO>vk+My;5y9CuO4CKMF>WGO@B^IlI))14jFe;dTzyawn8Z-zXNW_5 z?e%f3!$j(8Sx7G}i1S!q7G#q>0P)NoXV_3x))mIp!L;?G$sv}Tjt&n)sJvG}VZ2zF z5)MPJuMGmAGL!`;tVqMVi&f_n2U3@T}Z)@>Xj-7_hx_dWOg((CdxX%d_qxLOJ>*|6l zHfh7o9#Er$uRhL9NUV8*`sx;{CiURwezF`Rga^*ED-ZjN zdrZ9_(u%`IGKSH4?@-%|PiOaJ{xRsbN}L6J5%@lg2RfAkS$F07!kKeUY;8W1I;gDZ+1SU-@Uz#THvu0LH6dA4pv9O<$v@bY1FW=uc!-vIAQ_nTxe ztXBM@N5IKCD^`wY@L&gK{*$`=s7b0CIOAN`iN?J^+V{emD5Xky4eR&M+%{WRUDaum zH%O;!6^@gB{+AH+A+t}~5Zjmf4X=!x$IPNf?2@`O@6AkF?StJnMC$k35Pn&yOsZt* zUa4|`R>Mj)^P2&?{HXchgKOIkXax=kezfZ34q=EKGYL??-Mm zH&Zpb;&8>U{GI6v?y%wSIr~EQF>^@=Ahf!`;Tg2u>GLyRf6BTs&kL&=8}9D=dGW77 ztKLD+M7qtU>-V~a|INeZ!Y<%xnFwVQ;g_16!rV1|=q;9Z1tZ(Yrl4w(u)8GGg0xkr z6c1p^%f~$CK`e*x8>^*?fHxM{OrkWC&L8IJ4Hla9g_L_8sLR7)NZ zXsc?&mIcmlvY{l7LSPQykcKO-y8`PUr}SSYRm5nU>P;)yWdw7@zo>d19zkY<4ySK~=B2dFP;5!z%6v^c^}+L> zEdEo6kiC@`8E9N2eFN}!@>+s?n@Ly{$9QGiZLY>dr}V(2<@$bOlAwzf{7oQab3br= zb+Cot7>Nk5f1aq>PkhLY6rY*T_-;b?xwKLH9{Cv;PNd!5WJMOxEKS>xw`0fRnJE(d zYf?Js8ML$7_g)s9AusCRXaBMFICX?Oqm%x*Q5#CmIERbzjP4y}a^<+4vxWWvcK_R; z%C{A@Y@hcl@2-k^Bs}sP9Xw1HKt?ayO@-K!>uRu!nxuJc@FxjM>c2|lKDrD=3Xsh> z#N%u+G;EVe!6*arB&lk%v9B)x8;RIR+1iHQ8dqrH{RcDJriH)xozBiv7@-vdJAXrI zDXUD3;>x^bC1ka&P zoh8-8hQq6H%I;2MdEcP|8nFE*cfWz|hxy>(u;SwOdf3ziAh80HdqgJhMuPd*2p7W+ z7&o%TtqBpVF<42!7{T#;I+}AO%?cdgLk3O(xY4JyxbuvNj~ZhNkPl60WrJ5 zRkD!STedFH3LS4(4}_=S@b1D7raDqRX`=?d)qJ{JT&yvpz|UJLRJ9P+1ul=jBw_4e z>9AnEgPyf4bs?AqeT;1J!UP)xdb}P~lQLaBZ3+^BS0qKpxk&I(sM#ITx8#@LIA5AI z%(^n{KQ482o)U4qws9y8sA%-bWNfG3qf5@_o1>Ux`o3K|HU?y6QT))~<_dvS(L(SD z1V!-{US7gnQ*bF4Pt&wcFEl^)W$y*FPGA^5pwZY`Nn|hFS_tl~+wLwGtU(2~=q)|Q z46EV_VX|VS2fJ=_uoAMJ5)u|CptYthae8&mkwsOaq9&pPUSE64Th94z&AL?kUuvBU zrACN4pCpS+6QEj^JZmJ22gk1H7<95rk$@Fj0&*tFDnf#mCAM-b=}gtP3p z0L{5@e1P{TgFzT1gf@)yxX5X3k z=u)TA8@$0&DLM&dLZS?@c;8Riy1~X!x>DD{6IL?4C#}6%yH$}1&sp)4sIZA>7bm*2 z2K;}1j(L3-f2@xPrV8{?oZ-UR7jd-r2G3L`vy@>e+F@riIBfnVI_0{QC8)<}3Z7rA zlFfh?Ptiu&szLkERQ5_d1>bjZ4A&WX3-?bw*6T(J<;D&{-cthUFJG2<)a=py+B%N5 z{ggyzNHA>&jL0;+V=wI66wxFOwgBgx7Cegd+eQebecMMGkBCy5IM|ADvc?vlGSFsm z>eh2GI)xyDsB|yfMWoZc&-Pn-aH>@%WiP!RBsbs%y{Fu2&jP!c(7&?8uP@&EP0w1d zf+$oW^$gVx6Aa+WYW^5Oa`DO)j8P)o&zOc9PO9~{fauoC9W`+&G<>60+bq|&O*vT} z9q2hG1-vR)t!N*Jx<)8lT*Fc!jc~2qVcYAu2A+4wblAA;@rd1~GQ3);DV);B=JKKK zbX>0|<+!uaMr*vLaCKkTjkjkkO@DihuCVZIE;x(sDr?S6sQO! z+Uh;6`hyr0_|;&QNJC7LB20Y^`n>NXbo3p)4VS=V(e688RfEbm{>Z;V+$=Fj1{)02 zD-#F-wMwZ;D`yvxN|OnHTF;Hd_tGJ3{Dibivh&x-n=L;(O-o&-_Ty4<5e&xsZ;ND50Zor+cx<*@tRKdAm&9r_uOq9$Vlvp46-WOCxoo@v zTptlv1V!w77^8genV??x`s>NZl#O|f&_P7=(Pe@sO%-{0%m#BC;K*fSd49+g)%WSA zr7St@lzpwJOkRjlZrNFzzszPedtN~kVE?fAknM2!W2U3#DJk#uk_&tJ#?F3hge28a z@*zsvMAD4MU3Sm`1_Y~YKsNl`KwUAtxi9VYStw7A9>7_g%q085wyDKKC_wx@e9!9x zlK&y$MsQ_(dmK3Ph4WVZbF0xfd^S;-2>;tI6Y_yrx~i|HcInxlOKD#Uy7n| z){4r|J)IxHH$#pEswi(_wPz7&`v+z^TW=X}qI;NaPN)ff)U6jqL^q(j1aBZ1AjpOMi(+G#})d#tW2qD9U>$`i#{Q(0F6PQ9@Y-R96Lk`%L9%Ngl#Y z!~MYi0^ID|WKh1)$JZE_yLUus$l$hpDe%Fi7Kc2T9ABo^^^A$J1>L0|Y`|$E;@i%+I44sw z--SA+CyuTr0+S|3q_JZarky7gZ1Y=MXC$Bd@^6^h*x=#0aMI@efD!nA?L{U-$TV6< z3=MhH$k!H^)X8q-;eL}GKVcgo~-BxkiTeLSsctko$G`47}|5us4A$Oj+ z8t(S17zNOZDC&MBobXAM`F}Y;%^Ijempg-WylQv8IV#ixU%b#VaAuwBkYmK|JdpV1 zITRI9^jclWw7&!Kzo8n>aEHw*s4|>-!DN;_2Do}&<3oLHAR8BVq_EHpZ&RHg(?HN5 z977|nn(AN708_5K18Q;!Cw(FkfmV_>Ll?LjiiF)9=udhJSOvV8#5Gfou*Xbm0&sGt z0Y&-=F}>$FGB%5jyqt86pIeE0N=au@KtvRlkOk&!z8Gc&1v+-Wso3l>0TZwGl|n3) z8Cc#5f2;o$O8+Nn{{L$+LThrip4$agFMN@iBScuD+@Ao^m%|<}v{;FWG4Q=JDwTSu z>>B7#0VPJ~n4jp-V{Vy{8yD$NU|idFyFsK68|%fK2@xDrhO>6aK_u-pU^K2WB#)b z(=L0$k(-m00_TBN);$b*mfzHJbC#;(paO`yIwrocsFnD6azxVS>)<{U6o-7>8ldq6 z7s2@VPu{i=to`T$JzS!_-x88DA#9WZ6cXV3h=iOI?F896_$eYX>6CK8K;c|d9*2(_ zK|2(4SN1qh$VVM9p51JPpQUgv(9Um^7#U6N`waqn;7lAbEOuium7+6!kQiEm%o;1f7 zoiRS_ZvdrT+V6cN&MS$5<)s+_j@-0$&sQvGG{Y!O)$k0QH2@njN}ByT80bqZYHl!( z`!?0_C%yfa2`C^pz|snhm1p`rDV&nP%rGj~h69J=f(}N}ZhQiZ7S^C-CeZQq!bI&j zum7}2X|BJfN@YPny3#@Jp<|ztLCs7x?!}`Wa(8n4KBjQVYs+T>B(cSqZ%T4{TDQvf#j5j7P-kIs=n1< zD{y;pX}|w0T8|?8^|IiVup>D!1I95u2=Tl7Ld2r>ZJL0Lq_5MiJkH-TpN&7lXw)K< zq1M2x@%(#5e4}!u4u#{EB2mlb{_~p`!}o$qYs3~jU3to|j+s1J;SOGzlFPmeqtCpy ze1jEa8N5fchQ7)H)SjW#l=i?Jb*DlQ(d)BjY92GM{|~1;o69&X*sqzft=`W_XO5cx zbj~C{p>!SPwr{hVRI16uIl*_MO@%YnO*PQab=j$JdyPsypgSfc$eD%a1G_JwLhks*y-i*B0LrL+v3Sm5UN#h;{}P6brnLNG%bQ6w-r|z9dq)j-IP`>D z)QMm4nccoGqmZL`TUiY}$*@}L#27>>i>_3Pn62#?i>dl6bkC>7Cm!@Y(uRJ0O^0oI zt|N`fk0lz=m%g)rZ^l00Pr8LZ6pVb&d5m2A+q7eB!>jiV;?e4x#R zKNwUS{*jMa;_C~?#NO6susfc?g?-33l#cY?Mw$c`9aR1Yzaya@y{x1AVVSj!I>8lf ztf?`6MT&VtN!iZ~?=OE85F@BfrN@4Gc6U#URKEZaRrtVG_zb+= zmB4GAW<`v<0Aq_e4FvqnUL=$8b-!{UGn1w$)sPey?UyVGi?z%G9nUaoMI`BmTHH}u zWtK{LSu@f6fjVEd`x>kIcJHR+@Fb6Ivub13NOV&mGEpm$7!wS9@3I&~&yv1iO-Xvz z&jwWOCNK?ikjV14xF9li8ml=z20%3<+~K(>?U{h~5X+W^HCQUc@*~q#!CE46bG=M< zk64niM}fb=uR~X5D_Vr|bXtyvK)OzZdiJB4R-6Fe+m2FxsXeJNM%p= za}*@C0>8{cgtUf&4%=&liAbJ!3TxTK%AMEz64#5$zWkdMU6=PAV8`i#h0uZ0QJG0P zxxf9)kK2f$71d{aGklA0XD(#uhcEz<{7?>FLD=6L)`*uLir9S_pp5Wmpdcfv>YuPk z-DTFbIzQLO_3Iut-iqATGjy(`PYhWPJGdfQ-A#fy80N7;lj9rHhCAJ1>LGC#c(D)- zNH!TJ1S*W6xmem=bL>{;;FB&hX#+Arq~B(ie|%$l^59@q9)_AAB=U<4tKVq*(m0^q zVWtL~K|_i@kyMkj^=e(I{s66KAIndznPvLQ`rYy^KVY=WPyv#}Lt?hNeM}B3dQVYH zbT&nIp85^dM|-SLU1Nwhc|nVC@!RkI=%ZJjgpsb^^+ZF)9+MI5tRBOa@1!(pT@7a} z3OWdF(=NPO_8nNLUv^cRCgQX!(cxq%cQC(riZ-_XRU@r@<;>|f)eW6i-mo5xuBLkC zeUhNt0g|j(J8AZbSlc_!w`+h2g9PII0|{D=COl5yG^lNL2T901uNjnZIrQ^I*vJ zj!u3#*iXTB-lj+(P8e#XGMw~}nO)xZx$c1tp$+dGKjVfJ>cnSwel@-Dr=|FEhpGXX zI{N8Tt4*FR5gE4KVAYF=hCYpsFcrRvh7PZB?vq!k~xq$X^!hYbXrR|_L z8=Zv}DRQ)Gdc>j1wO690Ji{cP0(gZO?c)n)^LKx~U3iK`4wNfgUT?m=FzyR;OJ!t@A1iI-jfmkdkqizR7 zA!f0K+iupB0$SJ2A(9i$tT*U%$eF2xxm`Et4Xr9Zeyf=zhw?w%Xx6MWwYvE)_%h;9 zrkK%t^9*T{LRlIt=!yEQPxYYi>DnmBrW}7dGvfmF(^n8zf+12)08~Qsu}1aDnV*PG zt(?aTxN1EQr4@xcTl}>vDZ&r5c<>sMF$Eq1m8TvLpSu5x@)v*HYHnDu47?iY2%zZo z$vT4+1OaC_q#th_#B!XuZ;?3svXMO~uvNcEng&8&ti)~FhQmEj4i%6lzQoD6owIrQ z{mv0pzv^~2#%ROge20q-i#;cqYQ5a4r+RySUbo z626wN-4Q#Wcfgr&$SaNF7-Ou=B>0iAYMGJYO3Jn|6qDtx>TWH3U7!@%0D$uTUkVoo z-KnjkM0KWY^LQVJ-Fon*rL@xvA{42J(%D3ae_sP!4Sg~*e`k};C@Se2LdUh0q(h@| zY#n#?V>3+^91ESLVejfTMA63FjXyjqn8kfqURT#%v2w{Rzl-%cQ!=T1uLMW9!wzh| zwV5{eAI|KFxc(7};{>(8eqQ6A_lIkqTwBuY-!L{c^G2kWIKnB%{)8NQ57^xXRcWj4 zf=04pG5Fo?=HXU#V}i5a*1N8MNA|YS{@J&&V@H0kXcmA}JvfEBok2d5-1c^D-dksA8t? zErY)(N)A&g6S)#gg*$!red0L}?!2G`^xmd{Pe1&uJ~!$l9048SW7u77Hd8C_RzAEQ zj4w}Dz3eg5^Cg0FBE$WksYfd(TcEnWt?s=UDaxvS%)j;>1g(HSQl$9T6ph)(nvz1D zuVeetT!pF&H?}^3PU5d0q1`Pd89n>+L#CcOQW;SBM-X;nRq1uWhl*ismX>#dHy>KW ztkJ1Vkhi`qEAKlOMc0%$fYtvk#6|5d1 zYB1D7+PtkyyU=j>cS87K?6n)uY6nXjtM#r~uY|24*3Ok^%u-jDRX^HhrvRi4%WYQQ zFuIucNmQfEr>2JeR?`R3$G7Wf#|QWATaVW;!WtDirvAezz}lwq!xXTp3U=>co@rfp zBu!A&P$e+c$Kh#u($1o5gu$JC5M_h4_d`qS?(-1`-DgxFHhe9@&{$59m(|lRV@gVP z6l{45PTTv{H_{cg2^DU{KY@ouFLsZ*uC&gUUfixV;hnoC$UXv zwvZK^NktNo4;Q&J#4pf_#Kzw5K6X(j{<_^Dx^ZUiG3_~1MwpRWv2X85R#Rkg->`(E zPt#fq77}II+M#zP)F0own3OAxYn?s1y$%SvoS+@PI))3O3O^w3JWt_1e@f!h6qi5p zX9g3GcZC&QUIE!~Vu~f_@9N2k z&C&?2u=*KH6lW~g;NBa5X@UrTU?4m}Ya1)_)kNL{Sia zxP%$Q$#T2rwO{j~9ub0`@tHXPc>(oa>aQgjpsVXK=EM-p zmFaHLYB7z#zbwMmZW=5MZ9Vutf(bbWQ~418THQXiNYL6y#A=lH zfM*!(kT~3x7ntIpIg>pA;Zpq~PBx(;Ql2Q9VIb#XT8(m=e9^UN{9_NXG)}Vvy5nY# zHs_IF_PI_9Y!RWOkFbTGdKaWFswSaV8loF^XX9K793%s$Wd4>jjMei350ao7q#DmA zYxJ9^4`?+CHNom!?Q2pENnVZD$93yt;RfF@b!;#bft88abJ+m&RDcsj;w}B9rXfff zTu|u;9OcUk{xl;B)RWV#oQMXDAmx5fh>v4Q`Ms`1Lc_R#_8RX{>dH_B%1Rd( z$uF$2sPfsWI-zFVWpMhWD(P1^1Fg^%6SA^k2^#|7%D6`+#TBv>TeF&nIBQo!bz(R} z2gI=B0^{k-B|asG=!aAi)q%7tQySZ%oGv6w<(CUBhy(h3Jyi~KjQx0qT-;HKYQCC! zY&q5UH3mk+lk{l05lXC6g0v-!T$50;Q9q=x4c{ECD=rWKQ<>`WfJQTNMnr?EDj7jyN(godTD8T zQ}J(HRXbgrxX!r~MA7j-X(XnaiIkhum=A-gfLw1nBZ zy=}U7MC@`EmhaHQ!wRI-5B*klLFH`Lx(*eEg0gV$3)X$1*jp2EfiTnw%dsWX7105B zF#g1Zes$E`BdU{&=HciEZ$&2Ot_Pu*&z=9*#)Wln;Kjt5j4T+%gZJ-;$Z|&+qs$uV z*dSe2Ff+uQ=N_$g4Avh;41W{RlZdOp!)ysn&)RY`iGOzQ&^<374~lmO{`CA)HlGBQmg!C6G_UHu|MvaE&fvi@qF8zJQ7}V zwfUv#N#Tq`okJU(fcjI5n^>^O8v-7Bm@W7y!=KQ(+poh~aAq$BnraL@Mf z;&HLc5H)1-X`31

    • t#bqChAThn zzHW*EH~8ie4Z}^mV#rM=DWy9&f1G+@>QKmM5-COU)r?aXm$74o^dRIBi99aXXCRU_ zP9ei&{gJ>De6!c+S&g9>9)(_x;>n6`#wG|dqQqd}oXxjd(}G1+4uU{6*mo@CxnE~jn9 zv^x2d&TV_46HP5#+;=c*oE8=Q3|uE5fD3{XY-sU&tL%TERhgirBIXwBTl{Z4k=*)0 zS?8xnNHfm-Gr+X=!>{kJ;h*mYABDj8IPVATnqYk zZkTJlW%=$F|CRxEuKMwmk`DcYXxIYx&*jJiXY&Ot5x+hWc1@=~x0kT1#|m^7JlFND z^=t2PM5OuYWRb2Kb2eq2G#ro;ioWf2!>iS%e-0i&)j#Lgj#;HKP1=p<#|HO><*SS> z-XX%sC@~KtNhp8op&bgM)T9>Y9H0Yw@C#Gl6Q%ywV)O0qS6#D?j^)2leUnbi*Y-e# z%E4uHLM+o)?hsV$*59*AyB0O`llr7mi7#r*Q>$;=bCF&Jk{Tq-6s%2B=cJZYgQmfGT zFQ1wACVT8Y0`~k@tXg#TYxQ1XHF~ZDrU;46(*`$8@@sx>q~Uf=`u$6N>2e75+Q9Tr zCNIx|tcMGHh8_KoSa06c_vfu4&pxV{PXF2#eeeHaGKbIoAP(;oB+A`t87+gZKW8i~ zMF-z?x;-+5Hf%Yy$sFT!-%jXT)43ofFg7E2D{L-Q|tVbqv@+#RyJmt``o_fkmF+yS6w-Ir= z>S}qG(7Aj03OuDY2koB~j@iGpFa_gPoH+BFQe4xxtIYc}Dl?Dr>LMlNvq zkO#qkujfx$p>Fya>o)bMS%W$Vc`b}LqNQ!}8fq_Gidm1k@|0A9zr~dThlOd*O9OJH z-Nk_afwnlprM;fnMpOv>59GliDz%h%b^K4((u5aHDE|Wo9wei1g>*x=p$hq;h_7Cu z)p1K?u-4W$eg?HsFy4g2Sb7pW?2dEb~AOgGh-<{Tkra;_NaP1}6_FL?fIGY?3HDdDf1g@5bM zCGq^y-yU6X!rZtaX+W6DM)$RUC@*EznT5=g#U9huo` zD7xB7uvZ#@Y*Bj1Erz|0jI|Bh-lnNHyxj=&_C4}d{;kG;T)v@fn;{LCu#e{=2B7EZ z46|KGO@7JbrkSrxL?ky3LI(z#l&*U0>PNoa78x)%wO$;HewXC18WZCH{CTT&>nUQ4 zL*SfjvA2h7qxE!))>>04>4DkBm8!CN2weO=t<;?cgz4(oVqmGK1C7gf5x+2P{mz4aHUa@Qa@2$;i z?aC(i_i7?;tOj5E*m|2n8E{F-o`~%rI}em^C4uKF@O%-J)?zg|W{0n?EuRVTv&y zMlu$O|7-kSVqG#5IFCP8w7*RB<@EZ1^+{h5mr>N+oFwxPQxs$XtF#TXz~KC7x%Tsq z`>>^=NMpgPM#>@MW#VOBJ>d(A)W=|M+S->@bTex6o+w67Mke0=p>%N=Y2)2DUF~pt zq+MkVp5mT>p1>t5$7u*SZC5*?odO8A1qIsacT#Zwf_k~IwC7tMGUx#vS+U{J6L77~v z)?@_pAhihB$-yDnE9%?PN$W%bU@u8=`(TzJ)j0Re#$e4OY(8+bUm$V+WQ3Ia1Jk~T z?${AKivvlyr%L-1rI0)_-F{d|99k&#*#L`PwS z(R{SD9Ch;zs}CE{o*VAT$2qrVI`ni_S~oiW%&flcrNjsXtq-@^j&eg@9rcvY=$4SH zQhfjOl!`cDL<>;+{sU3;@EraJqW;rm7^)QrX=!gs4XZ8BhgUXacPC9mDY|V|c-*;_ z9BuC$_C-vB|K)AoUnhwO`(@^pFE`ZM)YTIY~zYiAx$i>oIi zZQKTR{0)5b=M=k%yqVSmYz1?uet>9_qDR__c?Lr=K#-g;kXjnv=qROnK z(9T^9B%+fWxKYaSzWEG}d+dtewIv&)`r#zQ5~cwoTH!mDpkc{Un$g;5?ItAp z?DJ)=%Ha8&HSw?Ehnv`X(yl6Et#+_31hy=o%$p^VewIEra{JpXW^825WL(+(C6vtk z@oo<>ZS%680wS)gfbeJdC|gj+P`JTLvQHD<_%bak5r! z?eIz@B-ISpeuv#x(XJPk|Fe7;(zg5AXTXCnrg~gT?|!W5LBM(B=`-Oy!qjaKQ|+kk zKBtg~zj)Ccs1HQNL;*W0UqrtQ8W-^38oPbj_f@l!&%SgD5r#io+A(UZSdh`*8&E+} zHz%mZu=C@T?ygoYRZQ@ALrn=p3VbcLJdeMoY5M9Lu%ML=54_b|oJj;BMQC_sHq-B#P!okOw$IiOwLeerHvF~wz?z+kHX z)m1?>fPjN7uJCqaH#z-IoTV5aod{r4bAPO1<6tIa^_-(BZS;mBlWdAH4{}iUJxm%Y zv%-gc*?$H40OHSnBVr7k|C0!wezI)mcde7WMM#{1H@w3yyT_~h2 zW7j>-T$mhLnXx7p=4W@)g1ygppB|>tsvcZ;Ou)$kE^rl?SHe!9g$$IEYTM3UjL~y+ zf1H*-5&ZV+F&JZTEc@2+Ue`oGnwbB5BjABj*-FX_|4sZeA5-1fO@mfd4DftpFHh}@+@IT z9R#J*YT}q`FBoy3mR2GsP2yE zd?P^Z>(=VXuzqps8e)HRMhocr_LNR90^fs|JP#WYot0e$h-#wwL#t)xmNr#!w-7S6 z->EtiT+QKy5q4r&kwBn!q7 z+COi)qvy)IUqxwv@1+xvr zr&mYLIO!kxsDom~Gp@L(=HEqXVb#CdvbfuU`${(}HN36^27p8l{zU~UAVFX(taqzdT&l)5L#l_xsv_un9 zr8Ws@@q_&5U-w1KBgIb3Xo%44@e7mf7k6Je^b0e)Ql(}<9Qh#saQ*6V>-wGvCkI~F z7=>>1_j=tQwJ1$*159A5v#(1!M;&wsq$LTr5y)dgin_EUO$YcyP+(N~6z+4k6=7Q( znmPM|pp4UHKHgu4xbl>`Q9&TM3QAmN*DrIjM-g)#h3rl#Pz&5}tigM)@*zMr)KdQZ zZQECsX82Pa8TxTc4dc_598PFM`NTf z5i>AXy@aLE*BPv&;sCy?vhk~XPmWPrxROg-QJH1j;hfxSxd9Q~xIZwc^^SHI#klz@ zW5W=@QmB62!|r)z+^D&>XU$}ZR@JDjFZY@tIWB?Ow=yS)L&h}`yV-Y-MPa%i+{H%y z=MRc@a`#iD$L5rS{Lzn2@~wQQx|w-SSbIJPF@2DmL}PLSd)_y!P5!GZa$?=eW57Sg zDT@6b6?1;++uao$he)!fxWqhl!1+`}Jzb@PSamVi|ytR z5A;-|ZQo_v>^m9lZmBz<$OHC9y(f!pwI-eD_Z-MEY+-n^8M|#XuPQ6w+8(#RqW6)I zSUTN73Nl4~;sGkA)`$w?QX+ld98TXd4oxNVVu@C!p~An)z8XsBW#{=MOdJ`L86c}p zCQvGjpQW=C6`oX3*@Cm-?zD0%a!awR;FWIM+nPSxO$%AQg1$r(m=Hb7fn^x(k6(q{ znHjnV^G~&QuCnTjGNR`M~kG*lDF*F1-F!{+CeoG?v3 z55K77I(3xDOD&U6l>E*!)ioWv*!FZQrOvz)yZchi_RA%e^Pj4-RdDh0AM>&n*h%@< zlx`>c=A6Zo&O&9aW4F7R!dO3^eozE>n`^mi@ZSyFn|xa}k---O5)r^@=f;Ej!F9$%3bvotpW5>ypiO$p$fIE_o}+Y$aC#%Qoq~QC z@D&9`{mNR?@uBQSO`d||SA=`eUPy?3Z?PK3s9jV-;Lvk9kinYF8PG%P`_+7^UNX6V zTNHo6Y2Paw<&`f*M!n@P`H3nB%6YKSyKF!FoI+l*^F-3I$OZ_ zRt`IZ4)LuKffJW?y+XuG5A1F$e^Z@`CW!4Y1zIh$=PhDK-YvVH_#KN4Wq(!uQM@g! z`{B}0#O(Yi2zoELt0QGwo`!k_Rz*_BBQGJX=W_Y)b^78Gb~!00_GEc?a@`g26ZxeP zVroM4i&Cyzrp2;hOmJxnbqH%(2sty{oe8Levb;HK|`%_iX8C6>Ly753n`HGO0;F zfeJrhkKKGPp5`d3W#5Yp+Q;Z9sWGOjf`|@$kr?x4VUuZHfqM-{E>Gcl&3M#+}Wz|3vTqHSM2L5=c|t!c5vx zzffhnd_6?M%h7LttZk>g3+JqV>8buz9KN+Dv2MK?`5ZJEx9}`Q#S3z&;EO6iTC922 zKU)0kC#rD8MCupdTBCPiI~8&^^t4wd0|*W%FcDV18pQ@Y^^M&fKnA?>4DxM~8D0GL zA1K(DaH_yY*;@~xWZ8*170ReZO-4Rsh8Iq?n)_koycUD4i*Zo9s|6#IOI zYXMK)J4bp9YvqpORHC~_D0d_&a-Fo1LDQNSeL&>}m+Qzpx{yFGDEIf5VMO1Ig)?6C z^pRTKxn%`@xZt4f1{Z(PW0-*WACt`=_@_y_i36fuIyng1IMTI{PmdX&;UI_YJLq}oC&Ad1{3xDMU*6w@xP1IPeyRyCf^mkwx@GGP&r}Lujt|d$vyLKuoXE9D?c)i zKOvn0!5Nw-Vo`hMm{d|X(=vsAH{9nqX<*gp#rYSAqF>sJ_H%BT%Fqvq3JCAFW<+AU zk)$0JFGH&kqC~sItPG%qj-+Q*a9@718Az1pV%PSY@;VSj?=eMMWK1+f-&Id1qgvT# zdD96xOz*9BRiH?yDPcModkV^A*92;;wY&T5(dA5`G{aYX^XJ&(QEYI9x% z_f)FP_v;u6J^~Om#E$$8O3MD4(UDPMInZyiuca78_)vE=yvHrpx|Jle88(q^t_pT4{mnr!OZYnTm{);Prsa{W z-o!Iw`Nz1U-09;_qnqI`Q9@u8oP(*hF~^e*kupCpB|p&`D(N5*@qM{hYMO*~6c~aP zOFCP9u?R;p(ekx4l_lyb*n*B*t%?`9pwgirXj(u+?V5w;nrY)Ra&HBn+XF?~ly!+I z%pS|eMgy2~)D}B_oh+1WkdR4U9KQpiopJFsc90eVe{E@NqD-z*)IB(p-COs&%2$1B zqB;$_I)IWSTD!MvkV$VQH}oC74eW}|aML6(DEBV`kn9t99(X!&N^9Dw=hRIqhOIGe zh_UN9AO)zj-7p5gOlVb(4*a|g5_#;UG~sLz%Kh7FJfxcS`P#;-5w1ZHDm|qK3C(jQ z<&%ENk&ziaD+Pj8wy&}{7J~(2LD_^An!?$8>wA-BE-P%8@;^?frFf1OAFFC?`+&?1 z=afZ04G!%C??q&-nYBi)O#~IbhzYqVQQYQ@7DP^ZpNS0~$6uY2#KD|bcaVY30@BXc z4U5W=-o;s<`rXqOk7;W zgE{t`zfNT0(LW8#sm>`W@CCpnli{xUu)MgbAF+R5mn&o{-*00?TirRBH;j}1AN`k$ z)lr0t9fMw%E*ehHZA8)97F86J6>>fRZs+IkDBBDk%en_-hiKi$&rUj4#vt8^r?Jy` zCnJ2o5h{OQVB($iiza+O@l$0`F-3-v8GDy6w#2L?7wm`*xU9-@V@;su`KfeITRUSn zvlKoD!@yQ(gX4hAi>u7fGQ;Hy20jTIKz(dwW1kCHI4+zbuN~)%^fCT*a zsKpc>@}RWWakwh_+sZdNS6dD%w9y&|DF0G2-gcC&vLsEP1aEQ-{s1Q6an^>y#D)KQ zXtCZDloG}J{;VT~vPIe4;Qdco)n%mwp1n)EnRSi~C>>D@T!Y>heJIZ#f4(I>aAnG* zejh$VRy%Tmg_5~6;)0WNi1aWhtF8Pn>8ml{1^WZ4n0?x7pm>?+#s3~iY5{WnK9lu@ z-MaiyPY`WiCJ;}XVdhqt8Cii8D;->bEJaklWpT+fr^5!6L7}@2kY9X!rTePHwl#PN z0ApV#);9{Dtzl;O4doJ10@FE0`en5dL!xD%bg=a61W1l#ZOYXNll;a%9WLdx*^ql4 zc+81BF%hL-TJt*rD^ReTg=K-_%dGM^%4R|scRCg%$D+)RHeYM#f!pVjsLiq1p`^j& zGr30c7wu#q^s-KN9YNs3Gw_aPwV>y*(0`z+ze*!wH{b9dt}Wr~k?UU0P@wN3&b8#e zH@2rAXOy9(b{lmG)E2Id3Erto5|=I+y=5PLi{1TzEf<>%nJ;h=bc*lpAeCgg))K~c z?GmJifQGRyle7A z`4pi9KzA|S5>=j&th4jy44ALKar*jU-0fkj-1#tP;SzqowxKHP!4y{jf^IvUQuCtk zNwgZ-Z9}goCGn<2bcDv%l+!=$ud=;T-m>quqGSf20|4QXlp0L00ww?6yM0?^ZN9RW z-_FFy=q^+}VBed+tZs+Pp#`VYW#ic2M01AJk}r$fU75U=?9Wm@ugIJG-~|q8}md>b)!gAl`)#6mz+(?a;N4CXBv;Zo70^o6*ZhhyltXeser7&8F&N`v5z|Pkq;X%=4L3{ z4JstC16>ab?aNPn_xz2e$5cw|$NKCbFHXAUHKgOz5t=li)mm*JYX4gP{r<5iaZX3p zEOA3?Ra)7S4Zsq3v&`Gx8RDtl`~(pmq8o$o@Kc*~$a}K2e81pltYVj*UJFFJ85BO# z|ALH*=}>67IQvDYuVbrp)kKjVv&r3GO&)z%cD~SNs$k2T9RxhS5#gwCS#qlVv2y=N{nJ=HaVfP<>l|AB=x4m?ABy}a zEb(%!w;Ce;wfyITi0bL4md*}Lq33@fxvAM=ddyXgE#AuI7kv+O9Qy~?m@i~KXEHMo zgNCOHBgdT9oy?D#TC*PbT`Cqzw`dHwM$=dgMl71-u8$W`Q<$*uM8B6zJXFY>O4MxP zBi-Q>`Jo{)ZiVOmIuByE5Gt*|JM@&_9P@fShl!f6+nXWsR?S86dgOkWK(urf5`REt z!IEC?P=_F6bW9}j;z-R@XXuAlO^lkeiCsux&9XIAQJv=JKer;+d-K(@!tAgy{-Hri zNMhzpIR9WkcfSxDWh&|^f24kPu$QKJvU;Fpfqi^C8_4U3dF7!1iU-s1kJKC1- z&6#!hl1Fq|5zX9-{6(lpk26AOGm8cJ@;6!JxyQlzJN*7&oeCyazMOS~vktKV7ttY} z8&M2TBOT^`Bd)Wj={(9&R#~fl=kv_kF3waVYYZrP`H*8-@Y9RUl2oy6diZ9+_3ty$ z0OJ~)0kRjVh?2GIqz+i-vtDlH9`|cq_E^vb;;KF7YO>v{%4E#~_YIIjV<#2ux3(2= zD=zeLASd*4e3J@zZAaH-(n%iK^HrsyVfdT(ZC=mMC{kbf=x4;M%^!V3)A@t4 zV%E)XV#gns?d8^nw}XokSKdjkBFn{8o?16fNHBnLq&U?G+c(3@ghf52M>&l)*S$*^ zeZj>&0O|LGX?j^r!i~+=_oEMI4X=X8;bTcYf8y1AS=7U}^U9`&UuXP!6ze}awumX@ zT-sw+RC98~x^?&b+FDG#lbo-U3xGQg$BG8r1KZlB*2&O}p%ChmT|DdVABp-zefNaZ@jGezrj`QH@*_*!(t{VHB?rdU6W(8s9;eD%2?#%3=-+30)Fc}bkvP6WgcmJ= zz&3OR=Fma=5X0?>yWhRV#Ql!TXa_hf>>V1KKM|4V)@d56Hr(zp_>_`HjxnIHb`ySt zOL4oakxLA|z6{du!jXF@<*;LjSDxv)bwcWK_E07r07@UN(CZ}skO{aB@xBZMzCnn4-rqUjuG-H!JQr4@cNX(QPpBXt&E_Nk&GUf6dta z55%-Gi{Jh330yG6W=q4nVIWYf?nJEou^%s3b#USBfjFm%T)!-$zp#N1FtARzWcKl8 z7-vHg0{DMtB193#oefKFbOiQWZQ`Y&_NO4Xr}EM*aMlzj^-oy?oqCA|*dt6n9B_cx zufsxgBBpNNo{))BAWNxL7k*ov9u+~J$*kxg2~x;T5kjW|@<(EM3B{q^?YeJ{?*mW% za)XbwuE9%Ct`y)#H?&`Nu2pV9RCd?yM-noK^?WP4^g{iGXj{KFM!!VBUO4yt#4e1s z#5oak^E17vBk&!bYE3MgCqZiF*j;0;Aon}m(y;RH0T67yQBSts|BI+0!LDTeW&1)6 z5E(g~-?-Geh5=Pr^S#OC`Ml1T{vXKg!oDzjZxLhH z%#~#%FaOh*#YYJrP}3FU@pXnlNhv$^NSbn{s4pZ4eW_rk%5NM~sUv3bUC}(dC6d>t zUb1HTCHe5g7ZoZ2fld?8aNU>pguuT(j@ir2`$;QSz3l&hZIZI}S*EACXtLOvJ;n~=EX_j+3 zDIb>DpHSEYQ9%!Lbrg-XhP$UsjvB8)Q}USWMOZ>c@3_h7N6+-{f5<7B!k|t06W3(p zB>s%CMoZsa%yPbtmV5*N$}q|>`265IpegO`4>>h!JlZ?4XCzuG#LE71F|~L|LPdyfL3V1l%VwKn=Pi z{U3-XsGX|Rgh2jWc3O;$IHPb7J*9>?ich$VQx`aud(?B`{_67xJCu%(4T?hg@M5?*P9r2mN$A=lunzs9m|Ep8N zw0$R;R-_V_90)W(!3zQ#^PdQGWzsR^d-*iHPF25ll!<6mSWW*`_zFq|)vkXq{o`z+ zvCjqdSnI~vZ-V#iTk;De18DW50I$_e0WYt^AxSVk@VnG&x8NJIYOX4*BrUJ3u&62N<_Jm#204ovdQIG3A z4UPtaj3%8?w1>hV{dH5pENYB72n&CQqykR&ndEN8H8Ld$3pIBpl^<~?- z2LR$-es6QzVccC(k8$vkkL!Jo@(*RZ?jwORshdbyFhi5=!(=wN+V>E#Z+SN@=|cji z(l7xNo(yJ}g1j(xc2UWP(V|s~W3eQ{95SpC1Gss*jY8mn$ctYSLI7d&PGI=ED(o`_Xy3%D=nke*>nS*1dhzlb2i^0?!bA{Y zf2W$Psh$A--#J);X<5iQmT`q~Q`ta)Fw#G{Eb*q#nH|c)oi-i!7%pJVwo2>lbf)}g zIo60ZH6V5+st6>towD?C(|%QtaZ+R1IA_YZXK5p%{4{7p3y`Dd5K?wOdiV<&zV{|D z4sF1Cm3+M?Eu9xo{63T-Ef2~gTA|vWTam<$_wbl|U{?D<;eIk#WS|GQ-#}#0B1(jp z)06UBiKkRC9_vGvHw~v)RVzGe?MSU_SM-ac9)l9m@ctOr3k1H0eQujS^Bx5MJX(7r zDS*b(vn_EPLrVy|SxIg_d}r6c60&SYA+9ujP71Un4=TTSlsl;ni92Yz zCTs85o=C6golkg|Ay+n`94L)zD52Fo3s$_7Fn*~9-W|y46-#at(SM-L{k=n(dAJ8GUv3g2}I-aAy}$`r|kktUy)AJlu)5STYD_(gy*PpcODFU z<2(Y^Qz=1`h5(f3FNW^!KhRZ_=d;n(tc!k5%e~_f6)F!rg)Hntl^hEq%2{1d`UKaq zA0nt`J+Hr0UhR_Am>aOhAx44&q!EoIpC8K}%)tsyMnnQ8fMkLbX11CElhox%+limiqO1CUoQsDw3e= z)8*&~&Aij;IstNnXH(31PX||-WA~Mhv%70v=9RbK&T@rM-L5hI1@=_bOVk_H@!jrc zG6T=uk{B-5VP8gqABelOecfX1?Cp%rYSyoMw@Q!!zRbSP&ZRIRzPyK1j*y>KWB>bb zMx&t-Gxy9#;InuzY&)7r9b?KYD0> zUDgM^JCyc#E??jkF3=b%t7cc1Qbmr~W|))ha?;{UQDu zBecK!@pYjV`Z{H+AN~qSk%cv=W)jLAD!dC4^^!Yjz(^NVDd#(+dIvQofg)5E6f)t& zOUGy>PV5-W=fo*mRz@My_pteR(vwU1%{X(hR7bS5;lS#rnf%0sNLvGr7YV&z$_^wl z8KM&&1daW3iB+IM? z+s8rE66`T13QGm4B)rkGvOn3U9)09PJVwn*#weGF6U1$8om?E9-lcU-xpf=C*i+u0 zKX-~&jneovpHQi{|I;D_BjAQ<$4N`8G_MX3qd%~(0N1FHHa}crV1E6QZ^*vP1r%EP7KDnIpOSmgZ}>Fm4P@W8iu5;61>r!x{bx-Ly#BjG|ipu%s6* z_o=8m{$eo0^IzQipPfo7i%$mESuOL#{5S=g?Q>%RNWZ6S_>ao`*>;PV@mYo-`cH#r zXoSZ{v`T>zkI)uDJNPuQA;mW45Zu8SgISti-TZ1}6?YNq4p= z-T7jW%cU<$MAn-D?`YOm)POmlIhDk46h%kDt@>J*t2yJ6KS1JSNoAMkPV0hB2-M+@ z=|U^1jncA@cNUY%eSj7Eg$G7VV3T%mZC~hTz+Z9WR`^tx%j!+~oWt1r+Hq@g(X~uz zNN2*@%Zv}VNx}X1TZra-*r&)0kYwM$V~3cZ_qrQh^UY|BSB(qq+ZwXz@W1-Fb9J^h z(x$W-j^ewfv&#EbSJ0;}5#{BVW`oXDu_4NMr;U1&=W`0_OeM|V+Q9m-RkqMAmg$?W z3oTN$AYOW}_<(NSe)YZxZ_=wqo{ zwm9e3+M$qJ{@%s&gA@-=M+OV|s)IQ%ePzb{6T@*QixmJ7`1tPBY z3ALF9(Q2jh>yfL#NXPzYhZV}qddWc-XAbZZ!wlZ-k7x+;kwkcpNw5Tv4!WCMlY4=` zb+0WELn`!rL*F?du9H62ZhkD7W3sm^Bho9WMt4@tX`Ffzj7!@XvpFAMT$!Lud5^#% zY>m(h%>D!JqW1$rDdwhW`49!6@Kf*A`SWvTYwz^(4-Lc(O9OI?i3%@HF8D~ry1+?fEIdBBTEJ`S|YIokyicI09)X4$v$#Mhi$cVhje)5 z(PrG!A`W)7&31$`Z?=HlU0rEK^?TN|G40uSnoT2wT~AaeY)3Qf^zS8mqFcYx){6Ii zV~hn^qe->X2Tz;i*5*eOcB9G-w48J>E1JvG6BL6fjSt7uTE{A~ut7s9i}9WG+d;m%>aw2@YrTwi)A#cvvwiVemLgM6 zporcoF7afydY!+}3_4faze{zQD$_Zo=4Jwx1y4P_q$MZMePVa%#kg2(mE%o|ZtIDY zr29FM&hCH6r5s|@bXe_e0HmfyxLQUA!c-n@QrgUaw-8G=WT5?Afl$r6m#~R z!?Ml>f&hgXjzIXHuVH+Au{LZ!(quqDfbuSdngIWz^z-Nn=$wp5Xs)5q2!-S+cH{wg zNg0Iv@mG&#I8rsEVLV>wVkb9orwGu`-Cgle7{4k*>2|kj1&m$BQwBIc*0meD*AW=I4EF zR$EQWtOO94+PHughpmnfWVA@hoFjSwc^&U>%ANq@MAD5B{V3(tWQchjx3Q53O4+AF z=ydR>I1JvG?j&`<Nf_&oI52SL1NP-m-zTbd_diEwRK(s+?m{Jl3VdLmzd=9EPiEb7D8GfmhqNS)$lDM(0(Y?+_t=#`Dqkg;i)Tg+&Gr?hG*FSknjs;TK4o0m% z>asL`CTuUImOQIO8NEXWvBAX(R#kdnSby>Dk|`8p7A?bJ#-1K|*VBkeMz|<=2SYP_ z>ha5zRVNPJlW|7-!YI>j9li}C3UVuRY0daaeX8f3QG zi6Guo*zuKt1tS`{-wGGo)!YtQ{St>CHp6P7d!pce8Z8<$T4nKUqA$n`_cx;PdAJfk zG(LD|do?N^Pd_I`d-h2BzN|@iA}$xn7Z{(I8rU5T-Y(1-0?DQ8_-@E`hzX0H5qa`Z zgiJmb-%@FgjXL3^3Q7bOTbCsdsEjE|kI)-(OeQx@0c@iQZqpDg&d3W;d9`9G@k3Le zV~%8BTVW)@7ek8o1G^#@*H6b+;}um2K^BA?cpFux0&CBT2=bD9uc%1DjW^0o>Ye`B zXc7pKa;z>+Jo1J!x<+|({7EIW^y=actOwU_tcFeiA$B(p&Va`L@Xol1f?HVUf}mXn4++q91O)g z%9sv{eCmxfDD4U@e0ign*jOFK+&vyroM_ng-Y>Ik2 z(^#*8xun~*#@OQDM=kjvuUgX&jZryaZyvLss0)Jm9 z%MgX4HFs8jdby*uLc<{ul~wA73-B@_@M#~lP?TpbB$*dDUs}9feQRX1nx;n}d=%9U z_LY#l+r%ixpD{$cxvCY1O5!PPU>av^K&ckl)g_a;Jg?B}ke}Tzs+HKwS+66#FGdWK zvqAOo*4tQ$demcw#_R0vIQ)BqQA!~CmVH3b!qoggk0MboCukqp&({JkF1VTb!+P9Z z^IIh!~eI85OIBqX|8tYkt(56@X5+IL(yW(h+c(`g$_e`H?EnxaV& zyPLu|@r)L4hfXx$U5|inX9=uwZSr0>C*Yq*FpYjTzTTzIE1J3+XHpw^A8lYVB7T)^ z&a-S_kts4H#C1s4H|@@Af9={zb@!nQShiS?1de|h>ZGOkAihv6o5-Bk9k)*E_dq#H zVo!V#s-(ms0&WZ->69Sn$kHx+P>p8xxNw#i^q@_$?$N$5{)gCn+~o$);x|KM{!r6D zo#J@lf_eh^62Fy&U{88i&wi9)UCv4nu<{h3ozk^$g2u?BD&ONNm=OON`VU0#?=~B; zG4oRPquC&vTyoEYGg0*VuXN}y+nJ~;x3BU6HYyklW`e3vefyNHDM5X=+O~%Hpgvws z@wX4x(U(J-Rk;?bwctUNj;HEQ$bX=xnWpV8Ehm{8S3diN9F9y_S0x!a)${U!q9oLR znXO}q@919GoNnaAwhEuLtTO%CKg;TLtMpV^cwRX7A`{1DoZ$m+ZfjLBWNa)LSEMRu zF`*t<)jZe#>_0A60k5k~)V-*jF8BU|aO6W@kFV-gGZ9)aB^$wqK<;p9IBy#k#wlz# zS?@zJ_Zp=QL_jrr&rd0$l=b>WB1U#UI}qs+HVq5P^Iz&>0(D)^2b%X?)cmyA0pPGS z``>UzP@X%S2jMX{cfVAevT#m=T+<=#xY#a#bdI2d`cues*Oea&Utl5#p7U@Ut&)WOIt{nf*c71I5M(7LCsO6B56dJoP-P5y5UCheKbja99 z6E&v_eq)g~%^$UL==jQ_b4h|RdO{U8SN$M{5Tk^iXkH9KDO zTXHCD_6HzI@HfX%o>W2S5xqkr1VAzr5e1}mU(d_ui`9J;E6n&=;*lrDtq}U)#r0SG z4``%M-5%Zv`x}cEyRxHJJ;cw|HUcKlE$r82jyJFT@x3;lBIk7u5xu2fNd*2YlzKXG8fK`|wkdm zL=xHvzqF3PEp`7$PP&kk(ZMZVz4&|gY^6g4Jkw?9({w+q!b*%OOw9LVrS8jbT+#>o zc{&wQ%Q92Ab~m?kv65W^HGELS=~>WV?_wm!w^mVERGA(M2nK7?z}V*CkgvHfx{jYm zTv>Q>mOIjfr#zU9E7X1y42n{SqejHfQxzuvIV&-y# z8Jw3 z!5)OkzEgB0&)xS2hHWL=NmJ?8i>IG*M_5w7J`3a+WeaZ3o(y&KTTNJJI_Abs0PME& zac>1_l+P@SO3l>jIvSDzkco5+@2~87#Y;8YXEk60HH@bx?6#(A2o_@+$pvx(lUR>@ z#eJmsFYe{krtQ|LhqoM4#xQ_04lWRV?ZL?^j&&!Msjzz|;w!-9;T_XOaK!tlFBX4w z$b$`L2{s+8bo08y79A}5S6!RAdWhS^aJqGLJ{RiSE0Nl>3voKotAk3!NsjT5xl$N zooT%Fr(m>6V%X?wv0>d* z*YAj&2rqDLL4M3o*&6k^!M$mN%8=>%+@*B}#4Ku{LS~6G|Kbc0DYPH!?D*DsvZwmD zC%t||e&%74dJ*@f`(5vrafMITZNBmEg2KjCDA)ADG5zMZSvB6DfiJ3tLtZ@m_v_l! z=qH0$Kqq&GL44%op@JT_U21nsm@N3BNtaX0Uu=%$WKoosFxz?Mx#$~$`&^nbze`EX zDTIC*n5wTUEu#`1=O{auOcUcNQjeeeE>_1(TzTN_Xv9`bLz)2T7rW8<^l*6DH>MUk zq&T$+%yEP~vjwlh*Cq4WPlli1BI`sYb6-UPp6JMD+e++N$tTxPl0hn#X*xxQ(Iy?% zD7hu7B?f^|dS(AY`HQ}Lxp&Lpa7w8=ZAlVLw$ zTAGrVP8Pyp*&r;0lva0<+R_KX{*gMz2rDZd^k;J_H4WF>pIWlzzKCgj5lsO_IXtcOKaYAGc7mr(*_smtW5Orj|Ok^ z*Ycj|N(;L&Q}^ZCNHQ|l-zG0h5l_U*9?L(u2|Y zV*Hi`&+WQJf}7@}JH9OXOuBKjIOvUrWMDe>?!i!z3$*iX%v~dnCXCtfMvGmmD)dj` zfdZ*N8GyH$_`gsy#IBnPhpomN;^OcZ^$r>Rgbt$%apYQb%6SG&?-9;xeF2_Nzoi%# zI$vaa`o1J^3g?=tb|)VoPBo=e%1#j%$Jx+pY0sO+Uxu#_eTtihy;?lFubJ-TN%exe)a_s8s0ilz6(O{2q3Kg_4^oVKVy`j_pnU}M<^$3&J< zhJ9h#xnA5fBAN>IjSXMhgo?n!AK6~b2ey5kT-jCb#fMd2wmL{d=Bx|zg^J6irMFKV z<^yFFBxTNz+{UrSrhR6dad?Tpd16C*bb4F4&fyz{CEWbu`YC*cZ`xQ*!NJZR*fXKL zlEJwvETsnnHJm{c(?pp}u^GNn zHxCm#t3@}iU2CphS_W0Jaz9wEu{vC=qo7n`QS$o@bHJIoCO>q)N92{L(-23}$OGh& z(0TasUY(Xr@JwWZ?;Q3%i>B`eV`h=|!*wK|g3`!z66YxVutXLi6ELi$#$VwO3?E>- zS*lraV!8tpcuQrrm1S=b`PPWf-Zk~aVx0ASPHIQP*I)B!DZ?5_(pX$JaA@`LB;W;J zYv_D7VaQ<`Vmpql8T$n4ro^(;vRg01P3+6l;Aqae8(K?q;Ir{%B}SLar;w`WX7$_d zPMd6tQRj=ja&@7f;#cCpEN1~ByGE_4O*67&H26bnB5&88#XQCh?@^7H3WJr43tU#h)ftiTf0 z;zZ{gGD10kil;qvO_@j!gTBi)kw%?1qz_Ah%sxs>w154B#vuuN{h{5`cTx^gv=J|M zl|og3%t0AKH4L?^BXuoa@p@&Lo_~eWGF`^Yc-kUOaQzRe*qMaG)Q0om-qNv`10bfk z=JLztA9})SV+zN4MuAPRg`-sV(J(~-&3EatX?B^$q@^TG1TIzr)Y9f)W>;rrFo zqXH2nWgu9jB?=14lJ1Pqf_JzZ;jI4QV4cTObsnw6gTL)Yr8M_g!5)?uF4fHp|y1z$%CVj($`+=fj@+6o>u$QdQ(@LwDw|lqDRk2$Z3;6t| zEq>@K1yLFK$?JyY-5{^Sw)znu$Nd$QV;|I$`|jzC`VTV!BilAqrtH!c_7zXp^mmZ1 zd^72)uz{ZU>p-=ljGkYkHvqzrqt3sql>R6!0rd$yF zX<9#d9JtGN(jL(=BU^6N{Dn8WVq!IF&Xwxd23Xn;zUF%Mg_C_XzY-oWf0E|HO}uF$ zpO+fH8ng0z0ZE-v7G;`?MqE8yGfDP?p}MS-O$!9+Y+N+aGe`i3J?K+YdKGvoj^^32 zS(s3B+Gi$Xdm$|nF}jS-sW%m_Xt+L2T1lXi$n&KMBiy+-{3J1sY>|OH8-=#b-y1Lb zl;ZU!=@Vf}f9JoeSm9+)_qDKI9m#Rvnfwb`xoef*8NGA!36a&y(T%;7^i<<&xgS(+ zmz1h_gtq%P!?m64%~T+#t>E2w@*Hb9ATJ2UdD%J)%2k#*ewM9o+)gI(gxfcX=QwwC zWN&oDd&#~6F9SGSQ2UsU-+k+ouatii8fIiW6kmVKxg2mY-jaOPyl?hclr%eRdH(tH z_%AivFZD!sp=Fg!syjjx{@qH*D2M1?LmjVu&DDf{L1RZAt2-MkY+8RG$2q|!!^;~- z`E5Sm8x=NTeqUZmz%g*xI3zNowzBzgpGw|Sqq+cUU3u&uYi-w05gqS1+7v~x;ssCt9eIgUos(U?6iQl?N zvmm8~b@+PuU{!6Mxn|2h;PVgcrxDS3=wPNQ_vFQ6#gP)moP0v1cc2SKlP9fQUWH?n zOmyg8#M&=eD2{*z-Hz&TUoezqt2~+{!%@KKr@9BNs^MzevfiQ;Y7a!e{B^!m_uttrrtrG%W`# z$+9nMy{bX9HEBzA!AvmDzotk`p;fbVg-n7ou<(tH1JU{`%xBm9%Dq_U(4tqHGg@;U za*CXT+*~Xh#eDZ=F7}~XWPIJK?&958>CcbIQ-!+8_ z!A!}jY<6#{s$%A=JsQvfA~<;H(uS&gScs+X9o4=8;$+2qUhGLceGOE0OS6PhyfGIK z#runq3Ht&5MK0sijm7>JUqZf9c?S(Im}l|)1ITL_Z6^k@Ll0j`@v||`;CC>88T=JD z+^Nddr?R-*`lX3dSpf+`Q|~Afdyl|GJAY*EgJHpXMu+ec(at4K)!AkcIsEHS#fTL~ z?X3ROC0s@3KR_Ou51j3t*ZeMU1gEt-MXo7#+8QvU*4Z9uC3lqrc(Ks8`fY~K(W>a3 zRsm8E1yYB>_knT#9vjR;OcQ;-S~mL0vVNGN+&2fsv#~}&{GkT|u&--Y+Qm+*py$IH zPLxinUvsfXSCQwFt2zE097m_{fiLn*$KBgo>}OFrS6v6z^jElXCZe;maFSSxLk0Mg zzwN8OdgB0s9Jm^l?1>$Ljdf){TWC+py-ukw$BftB6oObWmvHy6Dn10lt;Jit@f*UT zD5#Nzf4Q-$)$YzV;%(I@$UDKe9<6AE_Q*FC)#gX=w{;CgpDNrj4j;fApJZzWY4q{M z{%`?^OXbPuCRe}41ij_T|3i)X#xUXMIM7VS^Ps8UwVR|9T28cw%6_z==pZDWWnM!Zw�H-tljeiO|sq(9<5H%uHuHGxyLqi_#W+s za4@ELGfwV(X^%H`>A;IeW2Qo2^BFg)1naXq`S1b$L_rsy>ia`NKb{$1W#Eev5MqU0XJ6;?$ z4ZX#<4@36?6Y3rTrHAt2u}$B}t4>aNa*{r3AW4I^P2*B?c!61@b8Br5-D-}zPPD&K zKKM5Ldzg=n(bb*7wy)Q-nOkoGkL;{ef{a(-tk+ehdfX1v7DZO@-g)w889An?X$sqM zYxmn+%}4`=#m0A@Q^QOXXiI_m&gISK_>WdNiglj!t2!jvUrW_o|A278ue8sU0s9wh z>+X$aR~Rdp|3io;dk4mTp^(t}M*MKe@T~{IQ9$A*fbq6DWS{E|Xf{Jsi^OUoW&>p^ zgb$Xvy4fG}T>c%Slw}nPE>w&t_tVN+bQI!}$~$t|n~wrj4H2PAA`U9v`Z^l~g!ek6 zglR0X0`8To@{XU*smqJR6cy1OTC>0|1`9c<*SS%`m+8^$v!&Nf&Ar7iM4x_y**%6GO^-!^bZW#r%?F2BalLv2n1v#=cf zYxv_d^Qg(`?0q3+Ad2&1Nt-M7YsjHPWmUqbiFUA-6UbHYU=~Z#DIuO+Hs< zEF8S2F4G$(%=BV&3WF2^`REI!pUyhu7_EPmmTE8{GuAB&~;T+uG3?x{5^j)})``ZPOLMcBzEuo5C z)q31Dr@Vc_UdJx_!%rk)_BPKGCneIv)>hQrn@G=bM(Kitq_sBN!4A(fn3^pgaZ65( zoCUE3ah5-snE6Qyz8?9GG z^8=EZrhIpK*IP(6G`|ifkM)>~hAI7Nsxb7h#|dVk!ebFxGV%|8Bb7s!dmuxAN@-!7qjZ>`hS= z6~;#K=I~;?_QP(^f+|DP5W3Sq#owTxAhW4zHrCiE^v>sHag@FzY<;OG9aasV-sELd zA3Sks8AYn|mPsCruzy_w*_B#|)7qMgY8YHBL_5l8!r_m>(-OLgk>@gX6R7Dyf!k2$ zZK=r9BoyuZrf!r=57!S2%_{SEla{=)EE6T8igeX*2hVv?rt!^NT@Kc{@;O4|;_Kx+ z+fIJ1g>8J)h_)(zln) zUjp6wyQ2aa+wcb|o!s4sk2MTk%OLwh28Q4G9DqfTf{i@am}yd6z`(kG#qZA?KZX_H zcV7e?O0U+Os*56pd2SP6ep(6VW0oARA!^42Uj>cdzb3-1CO{r%XBegSltG$8QrEk{3uSaM+mf{ zGw~(s)q9qsw+uvIk0wr+oD%wfNWD8H=ux)razg5oYGA70Wu}Lact3VCprf>?%7 zR*gPyDu^KGOyblhmaSY7wY#ua{-%{e_y?Fj1FDIR7Rhcd_M(|UVRFmzV?Qa03kpyP z9vuhyA(TN%5P^Tas}V8M72U8F&soj$rKUNshpsC1fsOLRA*iB!bkU$LSlGXvvdtTOP-#p%rnycJ|w1+jg@s-vTLjBjWaD}Z11GYL!j8D z<{vKV57kD^q+|U(0jUS~_^aYgP7^V(iRH(CJ1dn+!Hj(Gi<35{RW88QSMHH6qbZ+- zWnyMT!tq__cKx8%TK!|tiD6>TqXVTfW|MAIXk$|WfoKuhKi_x@6=Xgi29qt&1~n4K zv`CEgro|U_e0=opxbe#wvKi@lhqWQZ&tTl%+ogJTcb_x)XS4|c3^d2G z_)Jk|K9Q-(p^iH}y7<*Yw~pi@><(anhv49V{9i&EQYlugNyhAvFM!60CAbGICK~z z)bj`DMZ8VDH(Yl%BrBbMRk!V&n0f4T;o1a|flSZqNe`v)7V#%Y+P=?$ek3@ow#&-0L1uu_; z*`&TVKyifF02knoyt^ebpQpE&A@p(Y12;Btbm`pO1C{Tri~&rKY+uTebglEsISf*; z?#$c6hk{>uDeL}xTqo)AsayYpAt%74-a4r{X4PU$%eel}+Z1-*sY{B~+wrS- z@6$QoYCJK3J(@SBw)3_+CnT%EB}{-gsZ!FB`8*)d_wJnK_Kl{-7_ACDp-Hd6lFBy| zsn%1J;A#I$vZ(j8%N=UX)s zb{Q&h*1n{bC^&R?x)9I3X1|stx)!Q|Cz7WId}ZD7z;fb-v+m&eY`?K@Ut#tj`Vk zxw3W=6lyV&+}kT--Wh#+=%>_#OP+8nLV+j&?fi?- zf+zYRDNHwYa%Jk;_i301W3C?3N^#Z*uWlp7j9Onj6vis^vLyr?V|a z#!;)$bhNuUdvyoRgn7MEZ(G&boLRDwUq#ATZr8-$$9ZBO+8hk{WoGa^3qC`{>1qYl zyG)e)d%(HM#|{IxBQL?K3=@u9A(DZ&V#NmQhqg6?nbzq(`w13I_S_#6pw#6L^geJf zfMqrod!%zX8X*ktk9kse2Z#9~2e)t6rf!N+jHej#v*_iGud?mc7g!a;`q4U5NE6e1i!${d~=bsv9Tjw>an8TDXM(tR}IVm`&3q}=hR?=y0H4z zn9{48f$g6zxZo| zkx|%-k!6;dUuim)pGbZmT(36}heaJNo!CiX)Zfiq<>&XWc$QjyeYDnMHG12CQdj81 z72cw$6KUtRs~872j7sdT=aujf?*cU%68V~Pw5Nj+^?r%AdyMZ_m94^?Q?&2xD{m<% z;Jw89?4f25Lhr1eNE-Dg6L9(Aj&{z*EUGQonTR~x3()1aA#-_GOcoJxqFiruu$jns zi#FEwdOA#Eu5~<3p54ANI*Tf&*Dpt2+w_bxne=E;Hm)N3EY_#wEttwS(MIpBMLPQl zRw;QNebMn~!I>DhoY-*#b(i-sN_%Us*kl6DU_sgKFUH%5Fhvk;(ZMg)Cc3>zExH`k z5oXy)5%|%FideyoY5c#uR&x+T=O-5wusw%oZA2;1Aeut5{T71+3q(n5cOLVM*FNZ#9NxDM6#62}Skp9b+rRaG2S{XP7>jSi><$rRo zBb7)?5tSb|JK~pQgNcz9D#>aR+$5f)4^LW?1{9YdGH>FRW{~PDtj2B;^$$jTtH}qi z8XZnsU6BtTIBP)NKNseDl3hSeh(pX1|(0Ex( zS*n|UI3k^>k}gPLkTxa(Ot`!_QdYxM6qFe8^T2I?z+XXB-Uj7u5W&=ODk% zoJLJO1D6OQevQ`}QC9fcJS?I@Ytabj<}Cyaga}h2L&W*F`H^h71IiltRy8sl!)go9 z4LbJqq{?)M?0%}D>{i|Kf!q-}u4-o{RCBuYV3&@_gG(_e;9jv6-SLh;x(3(FPAP1sco?ni%bFm*+AxmhfJ@9_cc7+Q*;h$cd?=9Lv5q;;K54s3f;~=y^IkzpT}cKv2qgG z1Ec)x73C`zCw>Dt(+N8W-|)++lQa?glA;^$au@85e2Vmy)Nr{4h;)f(86R4#DDNHt z)fg44Wh2h%e(^6hKF!lUhc9~|ewmXJKm6&mrl`Kl*rgC&xT3t%H6Bko#I^lj-eq5D zOmrnqeCzEY*{1byyrZ!=$-#n1HJKEqk5n!=&0LCu)$GT4tza&eftCP)w50!ci|WM# zk6=j7D0v#8wIX>!ajSytx3qfb^AC`q#R9@DSz0x3c^9mLiA(LYj6w2$_udC+rn*c~ zfXTwG{FhtEYa%jZUYExad`TBjma1Hs)UtvW*nODFh!KS!>Ms;$ zTMBt=U5#$*5tM)4p(mHJUdVs{xkWQ}#qyJ^obUbvP1lR$prb_BW{g3F`(yK@tm23% z+Al(E+LylG>4mR zMTt-Y*3@VEnf`bP^o0_|FP&rT5G-d^wls5x&WiBl(zA^reGJ}HPf0#YDi*Q&79}+XeJI}?` z9iiEFRu;{DbK@f?Q1_fNAz8l)UEj62!s@BLJ2WTdFc0f23?oJhiU$vri!pd}GsP1wd#+oF~6~i-`|Aq(T1FA_H8D$P0%zQ5rCZ!|4 zJQT{kGQd$Zzl{`!88n^!AL#OT4bqQ^!mYF+!s3TH+8@pJcG18-==maIvaOF#b8YaA5Ty!`P03 zZu%@qNO9|+)+ag#FVwB@v%O=2Xfi&R3iNOoH?&_PJRhYHk}b{Ud+hQLc%RJreB0~# z>$jSJV>=b!yAoA$GU>Imj+99ZtGZCQ|N7#EMT&%92jMiS|Wx&YCQ`& zIn)*U_wj;}wKly(q-Q%Hw-W1%UgWBjNl5B?+*}7j)^?JH#D|V;3}hJ6bkR ze?ZNU$!~r%a8drLdpSkPIxLVelHTpVxE&}!{X4~ZQ{a*TaN{;z3H^2pT7*h5BkaR0 z1v2b$(8MTnt58V5PIG7p9bvy&y~yfLK>fpr;ip5k78Wd%C(lUcmj^&Am)1UE7OI4_>)vfKupJjYSBD zk_zS|)q31LnfPq9<&Y%o>o8&u<2UME#qohiJ@m^hHzbFE)IQU#Ge*DZ9UQ*JNKj3I zaYd(Jm%R={r91Jy9mz&t;qQDy>`;}}^+vJ3!CbSl?j;j#A9gyE0?xei4d?9corN&F zT=tcVqTAS*$vap~5;tCA>6} z%m)JtbV8$M@+=49N}abgN+{Hl%GneZiS1XtoX)?EJvh+tew}N);gi6yRPfS@%E@5! zRTfR;YyG;lBI_G`oF0KMfA$9+@oh>{V%)7r%@=`CF7*9i0^!3Zx&e|zzVJc7=#k@651kw;PT?mQtHT5YG0A-zGqK@pC3R_KqR~aG^Swj$Of4?j8x1d~Xy5!XFvGQUp~5|@L5~O| zhFi^)#5`~TZyNrg*oKFm46HVaX(M_;8qK$w3wq7d8~8WF@oyx*R*(o zVQi%S(-{eK_d1Nm(_gX6?zmLwaQPV5h=I@7J;)jUKitfsg*|%N6dPX3|Lz3Vid)E( zNzi`QGsmvr!q(!_QbL88d8pfG3SZu;_=KnyOIyD0IAkW92f;xC2XiGEl#fkI7z38- z+vHY9(C2wDiG4NW1$RbjLVbU3&h4Z^6v9wlFwpVH!#Liv|iWcUWH%xx##DOHVA%iha~9jF}*98+#Te>#AN2cn12 zJw!Lt>BLxZC6T^&>Dz5OJ*^%KZ&VZvRtR zH#B`MI&0sD7DzuXZViK@D9HQ?X}V9ap6jZ~%^Sr^9LIXMM!{p@I`VoA5E|BDzTT;G zyEbw0;X{j$4|^|T>>}UDGI{nijF_l;wkTb4U8J$2{HyavXstbx*0^q_99M{$8RC}? zB>}O&_*Ff{@=_oBI=E%C&E3F^R=pp1$-E2sU8UITO)tk($qjF7@x!cpv;^a_@HfbV zOx(xP2>KAjJ5ND#F7Qo}he^Ylm7c2vbj;?^k$@(b%GG{w03SKD~kEKRi4JwIpi z6&9gE$~efRQ~0G#_hvt$|1>O}dqL!2Ec3teX-WS(H0)Iro?p5!*}#e_FY=(?EU;nG z07x_1DR7r_E+C|ggtvUL3Ra9d+LJLXi`FXO!2-znF{aAUpH=bh&50dDcVyh+CJ^?9xW&k(d85C&c9Xk&CkV-@Xw* zZb!;(ro6%7YQu`|ASec({wGk}Y)>REf|$LsW-{?nuS^IX#t_WY16t9m_zsEnaR;N9 zlK}`{Ibob~&k>G8=63VgQ+D;V&C!wE7+R5!0O@Yel^}O)l@LdmiwAR_3|Bp02!*z5 zHt~=`jiTcxeaWSiTc2v4IH1K)?;~@e>)y6z+$)TMetgyu zJKMnDg#PFz9n=%a^|)P^b?@}+B7#$=rm=8uNx6L1?t{Gt*W7jHFQP}Q%$;wqG81bS zh{IlQ%F8PK7?kwhyui|}C%CD8nIo^&V`d!C@XjdGk46&h_98Wybze_UYMV^-6K|Pq z^8S9ZV^?s`f%t}8Y8t&UmFVFaH6B2FhO=S#a)V#12?%@f`Sai?etTTNcp_Sk7DMtB z+Gh^h84FR!y_!F&p;Uj{5|gmyP8$!DGc}Vtd)z$f!=IvdKk;G5S;qP0`9lpTLwsbQMU!ORc)6G<*= zcSb988aCurs%9^uLWytrgC}XJ7=ZJ%KlG_#-QFNHx?tkiac~ZtQz&BHkG~+NvH(VIz?Z+|+%aFh(9X3z{3N#5=k?gZ{sjY2l zI#x60z5is^UlJ!~mt7vc?`)b=<6c9m)m_!d4gnq|FNv}U#K9}-mDRY%1V=7fmpi_Fh2J1z2+TsTzPsiNhked}mk)4_k2P zKnP{9auGU+e6)Go%L$ks1>AHSA=hn(*}}M2j(iXcZ!{ao`@^)T(rv&iMNZ;SG;poj z;uhnNcst(^N%XTa{xGHc5j#!6L`es}V{-w^6qMzlm z?}cCiF8IbAU=o3seyPX5P0_!TmS84Owfu7gbHJ98xhzRmJktSB-_WG`jAB4 zM4A544C~bx9v=}!%8ZE*os^+`Og+e8scDC$&h6>r#k90cWJx91Q)Wv^9oZe_V$>B) zCgy(bnqet?ORQC1diyBE(EjGJZzDuH53v(!X3Qp>?CqHu5e`572e_a^+e)>x9Z1$!BeYSW7P)XvR2EnQ2m z#D3Y%w|RZb@}Lhw_%F2gPUDdlT9>W7>IKXp?`M?+bi!$dH5^%{C}gpND+jd70*9qd zgnqnkJiS*|is!jgeByPuF`BxQ&{y;3Kkz{ACt$D>hUvqi+=G*Ca47lTX`FYsm2U|h zyr9nMijJee%L}fPPF0G0GE~g!wvFsA*3M6?IR63kLo817eaQa|9k_?Urjs3CzI(R+ z$DZOS@3i8BAMDYbDE(?}pMVw$upIJWHq0+-jKk0s1lyvw;&-ohY$o7^R7PFS!F8SG zOW!-Xm$-v%%5e`fMdRH%Jj;@94jx-12LmkpW~)aV$-p_)c~(T2-}*lE-XFc{T&m*v zZy{@Wq~QPVnFr!D%iJ)O|4lb;Z0nbuJkJIPX;BhqHzMVZ!uc!jNR1qh$r8vgH4J}2 z`Qh`qu6beE&Zwm}onM_}M_QXSz@N;)3(n?gvCtVaZphAuMjW_dy}^k8HtUJ(^*5xY+=vR+ z+KU6SLfzTsi$OppC@~ICd4k6K*VHd5t~P2YvlJuz^5=)tDe4qw0a=PMKb189x~k$115Wfq7A*xY?d1=eW@J>ALkwO7 zDJTHP3YTY;6v3Vl0!`#CWpSxhg+~Hvbs7u6Af?--cooB>vq5*;yiv!974eY&w+q2{ z|ALh|cer4_gg}LtY`K%u8tOnYts(fAI_*bD;lQ=%7TPt<0{erm6}L*Tc)dAJ;7CKB znDHEwIYYo`bsB>i%$uWM940GiS9bsDqy}Jtmh*lx;mhLoay2-f0FC~!Y@pkH?@IMSX93Cw2|?P7CYSyhSP`kAu)yMbe*JQ==F9;+pIfk=c`&T`}Qrbtded*rF^6kNs zT$Z+u;+p{M(EZlln3Rdy4-QQ=fxm7Zzb~>NN`|LQqpoz2Sg|~;3wX=R_mkIT-Pj6d zpx@+329lLT(rleV%mAhzNZ;FvygRwXTB@D5P)rYp+2zj8cCBdlJD2#*_EThgzm5*P z$Ami-!*vFL#VQJ2Op@yG)-}A9+x_Eos+fx-?Ur#sXQ80cLkAs>qS@Fpd)dIK>RqV#vc2fP`Oh3)2jcHctR^!*~;U?k+ zI+?;zY{M01{ZIb^NA=+DPf43ciJ)rEIgMe!aOV2G~`KP*t{@9oyg{O`fYpQ4eN&3WzBx> zm7F47UcQrnHl*ea&0}0GMcoOeyiOUTfmLj?TT9#tpU{R|^S^vT6}id+#^>QRaky@t z3s@*e@3UK}8N)T-t@^{?I+#5Tz?qqMH+i?c*j+TFDsn6#%Wb4E`bRlfY|uf@+akDr zil?u3UkZ)xpJg*I^VH_8t-T(Zm3b0;9L%lRY(--qV@Hxjw z8ef0)EO1hBOHnW}e^*1$9Tz{x=Ua-gU)v5%o4-RjEV&7+sKEuYfrg!QMYE*7VNK&o z=whGlV(o1Y=F8cvLtkgG3s76fEdv@Snn@1($w*J{Lm`}}9#9YXNcv?_&fKdK%@DcaU-jAm~QJ-P{sw>x)Rq*zuiv|5m6~89})qrQS z#cS;dY0KsU>l}O&t|iZLVb^m^p~c%XV&lJh>W`Zr_g@!j46^{$@;GHSdcuDM+zOdhsw@#n{fTne_lKMuXeJgCNhTut z)D_A%qC<{*4R3vA(ViPxWyr(}c8$6E@tgC8mMJMG79hS%YTIp$fsu1;pocd|Mda6I z^YO?|GIq}#N8LI&n;PUC+c8Z1dHzB#`@*j0bia@EAMiKj$ad;d!^U@M@43_|2Xj{~ zjA6W)>vPSB9bC>>qiIUOwhH*2Yhe!oqK%iCW|+%UvEuYTdt}$v!i}adSDWy!TWSs8 zn1eb@ps!6`;B$NL7weOO-?^e#{W`q!wesnJ9W%jS9FqZ{6ZKro$3->JEHqf{>=xJM zjV-@L!75KmU5ahv&}KaUNKF`Z)$D`h_i0nZ0#mZ()pNEoKEr3`_rp$gski`~e6jd; z+`Ng*7vhIk8lh41w4`d`=hh8ga@Dh@QIY6ZqY;0gpt)Oja)-D8E#Njk^?rMId1iad z{WGpHIOjksbD_A_U8%w3I5KnrsC!^kf3=h&&eO#_h>1;4dB8W9$lvM`67RLa)=EL) zKsQI}jR2CRZ6h4a1ZSz{G;KsQG?<-FnjYw6ST4 z>gcDr0PC`)*2jz8W%GZ4xB=(PF#Vx6{?bE<@kUSz?SFYWAt2f*V~jJiUnqZE>V0RK zk^;(}eU3`LZNamOeaRg**U^@|LhY8#NqOjfggq~miMZ$S*1OHOI9MKfy6^jihs_c1 z=Q%}uaAL`tuMWdCCz0eJbMk_&?(A&3LTGLApC*Y~@=uzd4dsP-W>&H5e)r&NYF@XI zZ>S3JuvE$|bR*BYN6UUbXnd|KaKG=Rk#7!19E!M4iTH%BbDV|xW0y6w9Y;s`g~IHd zvNd(3N4{Nc#qO#lUA7LLQ9Xf$UnAV~;In)16(lT6+J|j|h#A-10EE=8nvPfYdY)QN z5q)`+_B~xB&pBzB{IfJ_c0t<)Je?~Nn?BcHBkE*65*usrOljm& zWrX`$pt&sI>GhYUwc4>GUpu>UWh7mMb?$+sLaZ0bz=r{C>Ym{JZbLf$9tL!c?pI&% z{vi#?Vg^wfW^X`NOcns7b>2s(AN$k{S9qW(#n!0m%2D82GV$PT?25F zO8nlL5%LW?4-6D-+6(rJTTf+f{y2Kb9s|Z%?h41w3k59s1#rep{vErz-`(gEhR~X9 z7F4~ZEp6xcLHO{>lP4~`U>cxOwj*8J6-C3ow0KJeHt9R{X#BJ?Y_lDE?k5jN2`xwF zFSGY*BVOJ1q_}!^5SV;fL!J|v;@`KlLjXRd_3 z7xYl=dI0hB^V6(&;~XNk^?Q(j1N-cri}o(+zfE%;O|Kh%0{9(l6`KY-(*|ySfcA?` z7T*}Nn8i5u3jPWI>V}ej3rDf0u6zwJ?WaR|Qt-Kp%8y zLC2wBs@6k*XH2Sb#nmh7i*_cZY*{SLk_@U&n|I%dWmqNNJyE71&U3--g^k&<`VBdu z&3}M(_)T4dkNzbzusZ`lmU&&i8E1X{$n^N>>(wjv5jDmB8y@4wp1_M~?oXPPKG9;W z0?}n2#}5mK{RoP4JLoY$eqqt_sKf9ZQ(VqdiW%MO*|=?E;CIhPD=(P2_wR1E%@Xw~ zx|(9CfR0~UjLj30AD{5=Ak+N^JP|iq*~*<#b#=30AA(<;UoeIh+jTzz1Jv^usfR;w zyN;R$EvYA9z&t$nIH@n14TK!omC%?zkaV-uuwG1@V+<`bVq`fBttZU0f@6oR{raxQ zXN^O*0NpgdVqx9;O!4#_<2+&vzim0Pq#_Lhud_aTOEp?v7>5$#E4piaiy@{rUiGEu z4_X~z&F-5(wW~+!2vH)L_sf`lYep_Ob2EMSJg@aI=27?t*mJe#_tfhG)4q#6v7)Fo z)MvR<6Y5$TGyG~$rY^Vdqs5Fz=1A?aHn@r9)v}@ec(&8k)gaWRy+EehGc8PFlmQt73F?ga4P>At zl@+CUnv+sv&x^FJ(9e$xvI;8SE^0MhDRKRrK!N0)9&trkD2~^^K*uDlEBP0octCj2 z8m;e-2#OL)sBvvuiS`qHkuB{tftm9ou^=4p4ips!2IlY^MI;UL@u5910ag9&LG;Ov zFGpBtdqhD(?IxJiJ*gdmd%bS;uYf{L-#sZ2P*BR;`q}RXb4nGs20X>qn*?~vCJ%D_ zC#p`Rta0W3e8zr;CR<{%8q0+B&!8Ekl0T*V~wxUjwP%0ll*XOS1gnF?b zMktjcQgsRhznKblS-VT6hCVt)$`D5;A_j>JOG!}nFm{a=Y*eL+9YNvnbNmfOkdE++ zhdnPgll+c6%jl*s?h&~eS-gh`V)ZP#@$zJILtxWm3z)G^yipcXKZ;%)f~Rd@)TiZW z?Y6!A*%em;HlXU`faA}i?suW)k7u3|`BFnJ8+}7#CU&kwmffloF+(F=9JZ{w2Yc?C zazak;Roi*#@OKG#6|+ZNFZR6n;tj2Ia1TF9x$AAt3vbGwGdVK9VWasZICC7$CV#(F z*p%Oswx>(^=Z);~rZdsyZO_fZOAoG+NKe$oS_$4#M!}C1Hn!8Fmin_tdP-Q5f6vX% zh8Gy6L7&4A$$GHb^OCS0)6yW3=FF{3bw%8$|7~l^!mJX9;3nlHIxpWmE)>&q#jsF` zToc0F&=drk57_OPC@c4Dv2Q9_?mRSyIp<6=xg=}7_0qPw4T1nAcjAG!vZZOsomI@9 zKM@`wp@}|zhe?PM@s)xwb;=^$6QrPQ)fiMI$d6fRefHX6E|Cy{y$@$HC0_)^Mm++B z!xX}GDg-$Z?u5~0=1)h*((S(Ay(E%srhHF=6ou4iB}hoRnGSZ7ft~R%7q@?aX-Klp z@8pZ%8LjS($)z93fVmQ5UU0Te$}@aAtReNRl2a3}-7nEC%vD0G0-rH+$zx)lEY35$ zYoxg2N{Puht!0Qb)^?)fwuizMWDNG|!@50D^h`4x3;G*)+M*2|3$VB@%C1zr%*P(4 z_|#7+^0mCq>GZfCIrGGEPB|)z=O3mwh^N?l#uVk!(x>%i#;wShJQV47`NkdrD}a zy8Bwuo}#zXIN#x9`h?oENBrJA3i_T51XYFKXScJ_AHUY$`1L>|fi%D$JSQqqWGZkP z(L;xpEM$|je`u^d9)PNN^f)4P|4jGSZtw;Zp!4c zam3%WK#T1dJTRz09&zyI&CV)V=lzeOv+!#AZ^Q8DmM&=+JsRomQcwXwxNqF5Bk8Ow_*f#KKLROs68WwC@9^HCT){A(+9seDeYiR)c>;}S`trI zTjtM`n1oacg=n*i%7svg2eK+jd;{QmMHHT|7^3<{%p zq=}6jH$2_#3Tvmql5hB5{l{|E#N(EO`R@baG(q4==ct%}I>MU#Cqz*-J};mkXxb!0 zc}KZ|EEj#(NC81S539I-lRmvE?2`4WPARxoN(tC*kAaaiieJUdK&X@*sS^=)~(IfR{zL;}4tRhf6e{@&!nK1LqJiQ4oy7K3edU1Pk|M2OsILeAI)El&IQ#)y)# zGu3CvG&9>O;r?2mC9w0dA_$wnCzISyhtK_BIlq^SdmN_25;p#b^x*Na{<+#Xaco(TAv6VU+j|%b) zD84Z{n)c4CMJ`6TMLy;yJrG#a@*-St(C6)>v5@`p}R z|8zwHmHG+zWK$1T?9Kt`n&=-W?rY3kQZNejm7N5^+x7|%!Q6`M26Mt?P6u!@vb+!P4Rf)$-nk_ zpwGboj^5a#)#21h59&OwzL{)WnPCu2Z9QbCvlKSUYQ#mI(ghf-Ot+>O9PA$EC4$Ch1L-xpZyEIYDwWRo&V;c2B%kV`e68t)EwfccB&^1`Cp_ zEPM|V4Iw+G>EmYn@QdMKwRY{#rcczRhlZt$E>oboN;pvmO{>S^gzyKI?_SbQ4v!%YHMD3vVYJS|Kh#3CvvmxL&Hyil?cWND8APv3!F{GciLJ6N z?&nv#?H+a=&I~^DW=!#c;3dw)9A(5AM zAt=~cq;8Iz)A9-lZ512;P2eJN-ND9}M^ie`1nK*j?baEf4EJLYTE4RJ3R~=h)_4=v zAg>;+^E6{H`H5SFp6RC1jW!B84aEJjdjCM8R#+!2Zx#v2#lg0A0BXyk^c1y9WtphW z`O_!(9ZPR6VUu|T7xiaS+riI4KuZ?Z)3tRa{*fI?WpuQkxQg{?1J6h_cXw|`G6n>> zfu^ZjrH$E+Mqg_22m$6()~z~v-Ke&^mNHrzOWsno5a_DS=<@G(okbqtVq+K6)UekP zk6R;*h)vS^cycwHpY+wyTuXIz^vniCB^5`7wF;dZFGW27DEs>(kfZsP#cg9O+P_|9 z68$iKmTW|51vC7d$>gbTJ<~|zNX`A$?}Quya)OyeT;}5h!eRu^d=pubfeZ^6ww)F; z52!x|?Ut}BRZm8nK*Y3U~S1vRx>A_18AAeSG4kiji%w! zc{@nE9ftdY7zm!Gi{uf)8e7Ij<`W=eslRAy2fMXz>mLIW+MTqt*!O{QdxAQbi~_%FI=SZc0sZt zz7JqVIUBk@P#42BMZ2}%%v2uaD|Ds>vqOcuTdjTkUCO*S10+}8=WW~6B1C12%R!o` zk~9m_C_?YNJ*y=7>5r}FcJ1$*J0hWU!SnW|uX;*Wj!!()~ z;n9g$w~LQ}?ls*1Vbk~2nTtXo7zz5G$?egNBhF@r4uy$xeiR(EOZ7d)3ha+}Ay|}} zN{OP=PG4vX2a;y4%vD~g8j2Yz_l9~?812}aXPvN>Gm;=Q%g%Qax*h#c0FtxV$VMiw z6!+!5qGE5mqV%P-(K&MAaw)qSiT?zVy(zxZuN}M$X435Pupq55l^r@yw9#1R6%C15 z2$D;}`5^^5jq0{K?>vMn_E?)_QLGMYvBzDezkdb!2rlNnK)s|tXIocZ34`X~f)AaC z?cAVliA)4};a=1=rx5YLg>E5o5Mo~DJ<6xxsjV}HXz<(q(f%jkQBw-zFl4{MNT}3M zFBqS@M898qZ7FT?PA5SxVmo>VyMoQ3T)B|uL0aG?gEpBm3(xde5o^N=m-}|n1 zZ+H5pDW;?ek`<>$R%`MVY7wFnj$2Ch?GInNo!8cU{H`F2%pzrH*po-WuggvmRcKTI6QI0e_G38oo zLRC-*J99ZenI*jvVY^78hDCx!gM?d;{0)DAwKD=|<6fOwWo?m}UJoz7nnDGY74Fkr z`Hy~4CV=y%s5!H_kiU&nEB7n6(AI3e~BAeO73?1j~qJg7UjbFEA4=+k)aE+vuEw^s6j_y7T`zn|}( zJV6pJjIzf8&lC(thU^gGh7@sB1x4t&WjY!~Z_1S75}>A9fkgWjR-oKL*R@?$?hFq^ z2=9fxGIOXR-Q#_yRKQl5_B&e$I?;4fp`{651%1yV@9sz#(joSU&H)z#m(8UQqmN2B zoJsBeYN1vMWCaJtUD|w6JKnd6Ov4CqlM2J|Gqv7q+7 zMS(2n+JzaWt~BSujFWpbzMb$5(x+$IEc>Qt+qm%J)1coc|8Q}(=@pR68R3gMH4r;o z3W3~{XQ<{gIVxjr)wjnSIV{%kmasS)SOqJybIy|4y1~4jGs(;lShHji$AwR3-ch*u z=;l;V-gJ90XySz`-Yah$7`&6qrd&ZIZZl{5h9-!5R^C8jI!nN$ zJm#MC5%sU~!Y6lBGY$wGR&aMcOD0#zg-nOdg;=E;bE%8!H*f7M}Q10zedP2HIK-i`` zT!d&TMk+$^HyQ=uikZ312A}_saCzzB?qTDG@D!66f*jO-Tw$-tE+FCqi-Tf&sijlRWo^KC*DJLrBqNV(D{~mN(xk^ny#mJcD)bWQstg)^_>s611!StTJb` zE3+(kwbBh&@!pBc)<86@j|@VH11dys8BHExd3t|py`JoT9erG!fX2H_8nKyQa z>~39uA1MEj146r}%_GEqmnSqm5pw48uVXP|iE8N>ziCC8!nW@sCdx^C*bLdz2juO3y}Qr&JFp{}}y1jmuM?3o>{J1{qdri?CmTA3c9P3i>S z^xBt?D8UR2W69|cHp2F>B=&QGF}78tW>*mZpR9qvWp;M;uAKe~%D)fgE>kJJ-qBy) z>h|_-X)(Spm|&W16hB^r$BCRn*RYI|q?^483-N7x{QyEhfcQ}4t(M$`vRzU&*~CB4 z69V4sue~oRsMm65iI+5ettP7`n{OtLWc)OoH!GBQWcRcCxy}~hbV}{I3<*X9$)0Kf zt}#CZgmchKYF?i~;?8+Cc@EZe`3yY0d!`q=0fqIfS;O_Dfkp=vGX)Dt&yDRB;|1T|W)MfznK@acJ?*Qr_m6N8mzA`>Ct0UR+2-GLz zbK_c6qN#zutb{O;)VyqL646!mO@0i+%C*Q}=*iN6%!(=9LdX>NfK$V&QKD&cQ*w(k zKLwrQ!^yVEsjxTs0fKPV4@5tDQ`RNSX(FCK?kUhcx0NV5@U-Ey6UuZQ&lzug&a+Y- zW_i{I(=U7y0TChk8-G(9BV%*z`*&`KmU%)Dx0oOL;h1 z8M_jy#&(+w-K-cZ(52^Z{nP{&d~+9niT++qgSOxPMeBuvBDei%^9{YbrNpv=2vMF3 z_`*UTOO?lno)C>=zhAq@8r&Zn0)Jn?y7$$n@aetFw^V8Mq|-SrkZ{?NdijcHv)z$< zvdiEG-QA&gOSqAxv9A1!M{Q-y)i)a(s@_CPm6O&@16kUXRMuA>Ltz&T_Rk2{HzvCA zk}M~KXU11u_u-eB_;)+Qpdgi=j^~2u*zZ3VaJVgttiD-o4u@er{KjMbmh5q**9`Jn z3Idm>aVGEx|2L6r#S--7F~12z@T-p*i=vXtB;*IbtiX^*Doq53wk+x}4_`t}jLf>bu)e zJ0xv@>m@d(%Vd?6D(ZDT<1g~w=5udf2DGC^_iLNE-oXX&YL`{%*0d_5UCq8p090)! z3w6%U#%{%5wzs{ZlJkC}Isc-z+2aFYjf`Il;&}x0XurK9;fb)>kZ zqhMLQ=ao?ACO}p2rcB&+&Ycmn-m+dY`S&qc>|oZoblC;2{S+kB=Hs69y0o%A$J%IJ zRBB~2@+Za0^QPmr=dV=NfA0)30rl=2@6Ne_E!TmS?>JOIE{ z9lpGSsSfe!sDizyM6fDtkVrhb@~4%l0gL*<6h~n@6(?od3;{3yXNC&WXP`4F#^n#q z?JyidWRa(F@C^D=qKaiHJo~AGGs=aJXJxg@JfLQ>?`g4)mJSoqN#yy)sb%I)WUa#D z7PYm`k=-8a#xq`wt}`!#E@j8#_p32Gd;dU=F;2zVT08``d;4@r(04LAL9s~KR(slY z+Kj@OW!uT_mlt=2;p&Q;Z3(Z_diZ@*9%1av-`l5OW{tslcaqucd;8u2s zz{c8WK3pBe*F?OnzSh} zn#IhJ>VK2sJXS=WPRI^>kiHhg?BM+3pFbVFnkU@)Ks0{+e(wUnia`C`tn@n|2|+^$Drj@R=v;C;t-O_^5U{PjGo+RkJ7HuK zO7zX^y`O&tt>a&gSjYxrH{VTBm!QLoX{E!|%klu@l)eUJ5|$T#!k5uqdlheK7Z-{1vM}ob10lQTgr&#Z?m!v=M{_w-tTab0z z=yM|H{fh8*kx7!n?Y2TitJ55jo{xGg=OB$xUmMGeKwG(sENL=ZN<-cbq{!s2yo~MD zhgi&b6M!>e7~s$b7Zt%Xj6>6+(if<`31j)(6SCBv8!1$8Z+lz`;%;F%|fH@36;N^L}$4IJy&Y+j`LvN-hNw8|{8Z1sKS3E&o}*XdrgwcBB(lCl=v zdx)^-xPR|?l|^_g&fAf@@!fhH-F?2S325GW=zc3Hs={8y3_-Hw7}4F+&VDjY9(qzoH><6?oU z<&P}It*(0|gF8zf{U@H}?kd2V53D>`jwLJoLG%L?f{iSwbfo@xeFg2F=6UU@_bKbp zTHxS|g{MFND{1h-L1OIGyT9a{E27Rhha|te>y~wUHl6vN)99@T5mq{wgRX&9_Q?kUwM0t8_e=zwjg=j_23PhvUP=KfYN6ti#A@N#pjqH`1*-Z;G?hR3SnVi# z#FSvIl4y@NXsqwLzK;Q7IB7}EY2qRDM8ho=)|q_W+bLIO2l6^#BV@D{Whdu@jxowPx^6DT&T7)1@)T{uh zbNHGn3Ds2c540eU-BpXF5bk9nP|7(xo#N0t;ZIH0m>wUU^3arSkD_g&$0+Nl#-l1I z@daL9p$JlEzSll9>|?5Ce|L7N74rKnB82(jVC1SORT5VDG30pKHCGdpxYnuKcJj&J z6IbF27fvtHrSpc{NOZsS1Gdng7Bw?Po@ zu``jzvQY*9U7wM%A8EcK{Ip4euyvCW)AAbYx_ozgXlo|#q{9@ZxegMf|Cr5vPnT04 z;6DZ?6GygUS7Td}g=p}&>BH-IU}R_18^;GEZ)IQ%!grM-BlxdUS)G(PgWAH(wSjaZ zBhwpOstNETMgd-w-*A`5T-KfUZqT-|>5+l-S}jHw>;Q!;g)iqe`5xuup5`By;U#3a z<_UGw;L)E73J_hkFF$GV7_2g)=l%#$GYkm%u5Rx4a(y85J}O%LHPsyFy-n+P`YQQ) zD5?KENajv;+*m~07&w^7g3Q?KBNej4G~r6g*bUcdLlpZ(73QPscB7j4yJl}jse&S4 z=|PtC~b;Dy)5DKs|tc@RJe*c`fV>$UF7k*s8sgo@n$;>n={O8Nx9H zKNs=j2!7EvF0J(xG-ta>?a0Ow(0Iu%tIyXETRw4v>$n^})(n#?FW)@~te};H9c2;T z?+##`a0j=0MYgCuW%DPt4YA&eYjSBud*TB51$e{IUJ>Mj{M?2I}P$VYvpa~i^0j}Myr>@|5( zMY4H1RPYpR(0AYS9@%5Noo{e7rU+wwgm#!_SiK3DSwScw=tihQTLnqak-V?+wY7Ly z4qDr!XJidVJj3ZmL$Z&*F-~!m(1&8*X-)9tzf9bWnj{#GM(VkMky}vQg)aEBlpMPJ z&kTpxK2qw^rx{Ud$2JIhf=6Ejk0-n`5+c?_D*t#sDx3i%5WNYGk+O$*QQwUo)~+u) zr26t;3aiz*dS4+reyF5?p5+q~!}88)W$3>dQ~0+d*-!;MZkY>A1dwdlXATyQsIfB3 z8A$3yae$`SKM*5#*_t;&kDs$Rq%h2N7Njk0%8Ie-*9Z~*YqYr&=S}!I&)Cfxsqbm7 z@`T)jW&M2x*!=>0pFwio-vUeAAW_a504t`<11)d{wm|Vt-$v-Ra$`=S6*- zgp|7lI>;oFvkN)uW6k$WiW>YzUi0ZhLHP##L-o}0=bk(KB zBjY*3n$tf8GG=>xmo(FF#KIjSy`=S9qrruD&;Y^S6&xtgSuO1;qdaLLlw43qy-XW zGf)_9K6YMqlKBVflmlE+W0zkOjVdVIy-_Q&^=!7X_DSKI7!DMrVl1tu;=?poIIDz! zxEjj;4drJC5^W+qMgEVMdb{yia!AfJ0whS#dzWujFY7V_pPk34SUt{`8{kEhIS%Ku zC)vVmn~Q0e_o8Pyc<_g%8sP&Mn>61DJg9dmAwVg&Lv#L0uDroWP;??83GGyfXyIN4;g8{V%n_*A+aUdQZ&C z;{r|v&XZ1d|0_-9xpS=vOcJkN7GXZGIQkMn>t2^dF49CvPVIna+#kMGeMz78Ws~;s zb>9nn({ps{kTwYZrD(ApSA@2(x&JYP?df2kKAl}6i;v|d+)K;lh_GxFgdOys*jW8b&*F_bhRB=@xys4!=*;>0{|r?bu~he?=x+H z{UZ>s#a-+I<%%~yFJ^mmbkEoKgZaw)uPlvYOZ9qX_FdFjud=859=FgJWHG0MESAX7 zZiMRxw$SEcyU1b=lvHJLuz}hSH_F2}!uhB+)8Hq*?#6N6L_^n)Yl>Gq61+OP78ZA= zG(y6fq8kH&-+Y$aC1TVH%%F6ZkpQoji#iAO^6ty4Lw&|}Yu&D~k@@H4QhR^UXKnzE zuZr`L?Xa{Ff-K^CL|58b0KniwWyZ*s&;E>X5=gq`+D!!Ubrw$|U}mRlI+Y4kz4RkW zTQP1Ksb?WmAZ_YK-2ibD*Hsz$M?==Wna!rq7Q|o4r#A64HLf61HuV@Saxkp2NHyFd zmAbmR*Si!OAFwVvh}|;_QGLw?%szBvhx^xz14jO8a*^O*0I?LhYd=jlcID-yv3Q_b z93Sl;^;5&Pf}|&kusTPJr>Q6yb1$#b?C^XhjIU5He8hXxa40BG=xQBh7#W}NEdnxMu8=+O(>KlyfHi-`p)*hh?NKF^{8f~Sl+`hRL zKujTM|3y=!(!)h`z%t?+WVVSwYL(d|4WXB0LwHC(lFXJNp3I*jD)H{?8L!UV49{v* zyY-sAJhpd_yLy@D@=#iYuv%KJ778L2seQ|`;l(>BQ7i^4@*S8xa&O1qMkcghe%J7{ z53Zo%d=f6i?qW15raZ+ny04o9%mW zwVV-`T0egtxxRYz8oF^(=u9FZ?`__09dnlxOKCG29I-n;aMS6W#{OX5o9OcEO}&4B z>)+Z>HumXDjfT&-rw{lObpu0w9h&$r3hfD-YH99QkzcxY!8K&tOQ!jK6qBn8NDWCh zMQ;!MSN6+f;9tz&Y{NA&ZVIpO2UJEqIr+WX^l1fS&X1By@QH1Ha;uJmeqp?zLysx7 zpDhzy+iU^#eVM<}vBa$^dSUa`IF7Ns#d+J@>3ibV^s6f~FS2dk9lkBkT= z4lofdL%uvUNOwk%_jkZn+%nt~+++Vl3Pc{OYzE*BjXAHx6}P zrpd4TZFzj3LIcB~t`$5pPjHMoJ3FyScc=DIoEDjlwqIvi!xd9GyXrK)i&6b3S9JO* zbsm#?md7avieRGD-^C6Oh<&XZRKr)hVp)%ylZIg8K{H5`YvAf`2bLzA+h`n3*!zAf z8sSsfh;(Yi41QYECsfbiq7rwoGgTr;$qkhj2pnJO=Mf?Moqh5TWLC5|i)JhH5@mXF zpU+nq=y4b(8q=ZIqHAlKkDKk$YpXirIi2>p;7Fw93(y5r$pd$+b-(pO8um^#GJ-)g zOf4Tj$km;Bo=p7A9r>L|g}+IOvbLEh7-K(!FSgkSe%?zNp7W58%?C@e(eI~==4G%{ z#V2Jxsv08)7(PJkCqYTU47}h4JFUZ!;grMg68CTrfc2TG7YGL`5)q_VsX;KAesGCx zFj!(#&oxh5uuQ`@=H7` zr{rH&*c48zzvsOaZ}~u2(ttQqT;fu+nvLSj6PemI`tEBi1cR?%RmPF4% z6`ZZ_mZ+yxl#O*pP+=OwbQ#{^^n#uJ0;$Dr=Qh1CcJJGeepMj1H2e?Lyg$UI#p3$^RG zot+5}5@0y{K%ZJVOwkWY*e5pd-KSG%2b}3>r`NmRzUV+%JJmeWb*0W<02tEGJ4>S52}48GhLEJ2QPbjTAx)4KM(2gHr$CX&fX8O*bTh~ncA z2Icbf4c4OLB1C(j=OfIM>vjgSr~;3)LhAVM{PxH{o3V23giYFkw(0XeZjY|hnU z=FPLV0+?JZ`A+zo3gQh_1|wrhhcG)@Dc55~)z%JGt-w2BB@D`=Iu#5|VUZszVG5%h z%?OAeblxuZ(u=b|^sAvIHCt?W5lByvaWc#N+>^M9$$3cXv1ota4`Wx*#U3za+aA@% z8B%JU4BZV6YL;t)TBe3!8Uk{~kjk4x^KcSxt|fNgVHtAnpdNP0=x8E7l?^YP9DpmGC5rAMtG69pvyQMRbWRBYq z|2Q*o_H6;>y1Q7_ z2LXS*+~tMKcAk}uapQOXp(<$0^e^9Vq;t7=hQBZvr0fcuW$kPqN|ZQOBc66Iyh`-u zi?jq^Y8xA?^_dAz5`~#W?O^xdioaK?&-i@aA_<~p^{-HFMdQZXPAX3_RLdo{TT{#t z#suVP(tY%;aLuq@\Vb?49L_~q_>UrO+olBk`@4hVF-ce`-=-DCC8k2#~hoh2!?_t(_7_BF*qZK9!tph+xADsd|HhD$1Px%6A@S#%tYet*@Dtcf#8s77gktl zZ3NqA4T7(W4c>)#tUs0;nx|EqOmDZ@Q3PsGho8IDb3Ng_Lb4gthwLxi$xGHm4#rhR z$UZ1ts2zc91w|?awbh#5B!34am0hiSBDc0iYxwJmYfPXP6KJ^=DMH~1v*FLMRV((B z)KVr>yF;eT^}L;MsH1tS;QqbQsbGu53}wxBwm_bnGTJC=fDUlHTs_U@0{lC0&j#ZE zfud)Kgum^xpAUm{aC;+E^zo48^gA}Yu$`APvQbr7Y>y-PFo@7hOkap!XJt+C_%Wd9 z*16fwjh`MJ+fWF?w`%-c1^ukTUx=o?-bnOb&dU5juGt%Z(~zf8^%pLbVUWnG=OnQz z%3E5rPKwDvL-F7Vo~Dof8nbBG2;$!ss|uFOD6(ZeGIPh zLk7x<`d4kVor;D|-5CispNYP4(*IBqAp_jj6feu_Wso&O;TwN zEZB`KGdE6zfI5@5xC|8GRiyf1`f-WEkOeInR=8oOyi1Ew-Xw|J&(nLF_%-UvTH{>N zZ5+Kp6dylgWI;*fjKAJ!LR3xqn6&o&1FeB~XmCr*(W{_Fy@Pjak_yr9$IB-pTRqz8 z_Wf)}_@e;X@AGA%G-=|QcB97e37%D+$#j!|bhj&Mj>|E07j`2{F(|VL&OunW9)eU7 zgbSEV<`i)C9M<1dITxBMxqEVr08Ik}{NCTe@9nTi}Si1sE7qw7Km7tGli=xL#^r<#8&`<=l0*=L-JYe5Ek z#)1QRFt4-ocY4nXf4EK)c~z|Z^S*7*}$(TRO6V zGqxjFZ`{b(76TwQ9y?GzQa$VYJytriDYkWJUWn_T@kt%j^}RJ2cdhE47FCV-Qg zQdyOp?Kk1HgkVmZT z^VTENLc?2~x6@sB(jx`rQrM_cYsIhAt z(KZEbT+-y7`OoQL_5j>=t~QPEzQJbqi)|d z;s9qNSgg-EoQIq}wb5sE5YD5fYx$i?RNe1>rG`Lt9bP=PbH;OV$&$NhaeHjvXxSFZ z*Q%(p*iNNgJYkWM$+_U@nY*ihQ#mwn#gpgIE6!MQ7j(A8M9jcXDe=unpmb>J-W%@V zOP63rH{tO&2Bv|sLG47cR1t!R`_pXF?zMGJBnu|R zJiJR0R8UR0B8g2|VOCpVdr6(P^q6Fx!jACaXpu>_7Kg&*DTO;L2Y-0kTJ;q*T_dUu z)zPeBoI{7f5Ira9A3zInN&}L!YF-mZNctJ#RRU2CXri>JMQMh+9w1B(8}0{!lO_Ti z@4a8qn2M%AUaGBZN>7~s5WGcus}-6xyc=aA;78w-M7?o{iif~cRlSmiFVwDJ)zrM_ZGt?Xqj^Y1S%d!YtX{5<&PG)~9l46k8Z_a|4DL2EV?9jY2{yX!m{3PfyG`&4-vyLCuIr3FA&5nRK9CjE{bT6Mw{ts2jKsMw05{?Bh=WCGIFHpZX*JYjhSoCftTkSF+W;!6E? zktGQ2^HeJJ3#x3Id`FRT$s8)5g@#f@d`L9j2w4(uWGopJ!@Ioz-7ubPjL=d!B@sV) zXw2!l_}}5c`9n4FkFASk_ZQ+LeV=VW7Fqf*Ll}*PBG7)f`IXLJ9^IzSj-ExoP0tL~ z;>>k@xk=oeV(QjYt&F?pzJ>nP$=h9YUrUna>J1->5aBP*Gj2YQrX*Hv^-|c|YeS)e zJ5#&}Bix(V{AYvSQd8YH-}A!m@5Y5yt5@T==n9_lV6zKuy9qU1>$++_{Rnn9yLagW z5#JK-Yx!b5`4hP+vbYqn`9#l7vOo(_Au%FvDZ0DD1rBmg&BUN;YczLuIc&vz6@{c ztE2$uL>aE3jQzt45{a#%Z~98FAvMI|y3~fEZ{3L?9B_59c_E6u!TUWKWRZ&;CI~=u$2fFn{}JvuOH%ke`5cEj63Y?f<3LCgIiDRr_|i`@O9f+pQ^`f z2!DHHHDQX!F3rX>r3%HwkIaDGc*ebN5}uJ&;H=wICIj1@%kL&dpk(N|N>ZHK>=1M( z&b-M0yS*&sf%wrmKq~2R#&*)>6sAyLLE0YiWW0%9O-|omn89pbzi0j6_z>APVtPg4 z)|NZPR<_5_dXb$NP^t*BDyFPEn`o2PN#-7CZGdHzuOJ`akw?cWEQ)VP(yIJIg%lsj z0w}z_Hu?IentMvo?Y2r-2Q=VnLCYux6-Y2JoXj>K=!xlu9-M?K=_K2gt98m ze0s;h=juiGd)AK*?W>|2#fxbS^bw#h>DVe2_z#n;iFTsXB4ZXqG`-{$rJ;D+fBD(w zGeSp}shO9a;WWSw#hi(NIJn@8q@$=ns|;;3+jg0^wXOL{MLI`_(h;dfHx5*XZ8oD6 zpvz*{^S?V9 zxzu%!UuxY+EB1Owgkm1DothYWDjpzyPn{kD)bh;Asicb_HBVh0a28qjr4Qe;s8MbYQe z94~>>(_q(e*l!DpoifY9b-O@?wCR&l#E`nRm&OD234*_+H3WC|&*JUJJX5rraY}SU zDvk7TA+A8>a{&6MGhCVPE*uqky=lzj^=jwu_GnQ#kcu1zJvf6`^ABp4HD-#sh1!V# zYi2tE(1Xi&KPs+gmb0}83*NixD0U8 zgCf2T0e*D3>&T3dpmF1)$K61`b2<4+Mei%r;!?evckPi>|6J zpTixN%pdzX?cxsbp?kll&YCt$Bv=$;J7lo78I~-7_#u$%el?NDDVt&ACD4AX#i%kp z#To3nO@H=)Y(|tFeU7LoBxT-TNE z%)fu|ZaiOO6>sfuKd&7~K%!;A3d4%o9LmUb67P6YmMV>Bc9(C%eyhHI(Ed~FuGk@q z&`Y*afkat*bFS((%HGp+=R`=eOXj0bh9B)|`goel>q!=?K19j>Ev(i03VcQ_GPKC=C2<&7btiTMB9Y@e#3o@3L&`c?-;y0I-CicJ)cz zSM5jr1;dB5Q$yHQpW||lM-4!>^lL$1!HjHr?}MvEsrIuu!AAk>QPp>JgYac+grYmv z9$bQE+j6|wd&46;4g8nY1J?l7QCTno1KJBow|X^a(2+W+aAh)XK^nxN>_TsKSxhFT ztW1Ojy#SYa?gT<>Y1;L}B9c2I1A5*h@hg=7WumiprUvq}DyfLS%ECbjs547q?npYX zWer;m>-|I}RRFz4o z8RkgBy2tG5mM>lcre=MR$*;Sw4Z?hF0jG8oq-Wbc>{@*$43u7NV+q%_!(=v(itmWC z0cZHgF3vF2Osi1^>DwXRY>l535TP?!Y?@P`t8}or1^LADGz&srI@7zzA~M3q9Qg*+ zJV(tPKREsxEBRL`4}#33jwI%l4v`zE<=W0LTfuODhn4>j=Im;xzbj|~Pc<<@hl&G@OCM&=&gYb{P?B40SzflQT|) z(8xU)F-l>b&FwnG)0Fi#YL42`f3hP-j1jrkNBw|_P$ET={>h|AI3C>EMnh$Mo6|+G zZA-DUH=^R4Mi>Ss=q`-NB-Ar~%ob22Ds=Dz!I}2rA4tO*&Rj_4Z2ojCkK(vvbNzOI9!~OmBJF-8{JeSf?*dk<}vypaLQYR zxdd_AY_~LeSS(q9%guR5@O4Pv=wkqnVgz6V80dTM-`bnG6E~NijX#L_yN|uJn~N9* zL2byX-{>~yOGCt;iwjQ#(6M{(WD=Wc?StI!0Q;*KY;PG>?X`Zd%2GX5dR#$Ir$O6vAI83NAxOMedlB(K^}RIN5yhJpDy?BY>!Cuac?`n;OSak zsA+o?RUm=4AX``YikmLox-t0A$MRlx*gB6d7IwaY9(>jlIyhBt2ka%16UX;ooP-0u znPDCr`jqUJ#T>_YN;VXPd0XOT(>)iZ&f9i|do%C%rmq-W79T zJtx3OqH>guQ!bRGC|Z=5g8{07gzVO_dD}HTr0hXaq=%z*-kZ{PUVv3j24xCAQ>!;B zUpZumV2E%JYj11&1<@w;+kN;A14WnnS&;d9BWEQr`HIhnnUE)gTtjhtYllXed+r$` z#ZyhK-8a|Lab8>onn^@OOMjATes`d8CNtnhemcu>Jn1T)mn?`?V#tq(f&=R?Do?QU z2F%iUnACm2k`-NVzmlAg72A554*s-{qUs0_5KW&b?En%8yt>Va<&$v&0=zA$&j)!h z7K#kd(ICd3IaN3nYkXR2Pf@9crzi;d5Z92jN2BhC&^=-qEmbNBlP3V8D?yF`QpiRABbHNC3> zLTGcW8Mx(rkp+8&l32awZI#twx4pGH^Q(gR5r>v$ zr8(ugX^;nPu8t`s_%WIHo8~f#fY|vhQL;jaEC%S9Rjp442E4oZp3Oj$OYj3}bcXA+ zt!|HQ8rQ=G6}mMkHFRoaU(Y^RW|&koFuoev6d^qo{U1eV;nvi{NAWv4rArz{hm?ej zkWN7a1VQPNZYBr=>CTY?k}4r1HoCh(r8c@0$)O+;zjyDSuxHP9@A;l{K8M1uKcfU; z_F-7n ztB-(IjWZrmc5Z1B36KE0akN@y4#`Z~G-Cv5^12GT&dE`~Tye;H5zmwkI$WJ4%L-yg zd;DBdQxTpC7NSV!T*Z7$<8bRrd{De@%=u$T*-5xG7U(UQ`$}sh!@aL*Db81HYFDyW zH)-_x%bW122gkcGwQj4M+Ryzkc_sUKIqF?Qvg^oH)bpD=1K9R6Kgbyf9|l6RL*5{n#s3yOL34#rB+6q|&d$_0s;H zdpK4C;dsB+sJ=lIKFzp59c4Z??-uNIO~?putn)RrQM3{9)JN+ntG7J~ccK6#Vu$dh zJ11)rw&7^+Y;()I^^4$CH9vy4Y4U&MSz!-7T68@pxho5J@hbcuc6(NIS;}4o{knKN z#BldjcKIxB>92s>3TRdTjOi7M=s@YE*o*zJ=c5U{r8-R0)aZmg)no8@w#k!Yd0u)@ zOz3uDO>-+#uHV&kQ8{MQ$=z*bcfS!U24+m~S!jq~b6VM5bi2Y?goQS*#)AF%2FEfF zupd*yR-RZXhv16Yq=ldV2sEZ9gAjHyq6?p!ye(;2q{J&>MggpDi4I<1#E}WZ?B_z=hJ~#=oLkz`S67WYJFLey>u0r=LzGUB~L4372RWEoZ&1-C--IISF~_4=o(LP zt<(I|jj@5@_~nclkUpJ-*6TJ{$IhFSS&*-&X$^*2YQ{@XcoUyElD1aZD3DdO07fkE z#l5s6S{6oG-KqjmS1?r005^7y&^}jHwL@j}(gWH|a1%urxa)qapFre1rdhOOKV9aA zdDkXSp4$>i@t6oEB27D5Lm)Nfp)s$L!*{c_Ay#`jLQo-Utbw({h=zxNir37n^D4+d z8J`R<0y3C4k2*iSXS(Gpj}*A3(+%Lp*ymX7c*_yUjq2FN09P|xB}pT(0fx_>bqAxc zDc4dDmi8>gsQ+6%UHVg~x|EB@Sh?|rRF-^rSNAGovcaZ8I2ex-P}@TJbcYbW6g z%cy=oms;W7S150^kaA_jg=;VgRhD~~Urn1U{+|A)QW465nDZywffPGjct(Ht9})|U z-H8gJXEVl1iE=XxBt@I7KX}d>IA!Qp-(dZl;Qs+GB_09BBzxC-aS0dnQQ(ZqBzUIK zU&*MR(9=?47UlW$5s3Hh)m*0`Su<9XHR4Mum7L4+z2I><)(o=m`ADTQmbMc&D}R#*2<+t;Fh%zD@M! zXF;Y~u?vEZ!`k@inwLpTmcR-5d4UEIG|UQ5rvOGr^-CPJ$=Kzmo!?uQVfl@PF3-$v>;knCcn zD@t+iIbr9`mkdbH+f8(uinkWJgJW=4m0n|WdsJkvywe~g)}j)Zj9W;FUpXK64-hr; z8Tcq51G?XqQW0Z!&aqiqw48$xhm`yo3BEzlxzs~1N=die4BU_}yI&lwIK6j5`3J&e zvnj>eAjDVMCDu6mkVig!gr9~bVji5T0B*Tf6aTxFPtQ~=Yx7=tddX?W5x*7m1MFAZ z)IT@D*H)n3u7qn0kh1XJf`e7bzo^xud;^6G5!q+%`Lm|2$z*<%#Kp}priLF1m7;Lr zZwvfao8Slc%HHOH5;V5Ymqaold)f=krfgxtPj#Wwxw5HE))k$1v{m7SK)ju_SY>XpBV z9m~BP-Bnz=#mo}dhU|slz_A7M3r6Ax7jM-h+XR}WR$9MS$MDKZ>SeLIMl|n$;3se1 zW~6T5b}DJvN~*3=qaQ;Mcf1O|&@G0K%}?(ubN|8^a&MGV1DGOgoN)ucM?bV{ib zzHF_6QBoRCDW37}?+C_XQBG02_8z!7@Bn-IefM$>mSDgycp;;YzJs0a4GV3sRg9ad;$JgF1O>D2z%b#bNVi2pj4h8##K0G(gB1-3-73$0MNSA=eN9G%yI-YMVleG zc_U{7G{W}8uS28Zv-Yl5?Hf>+Z`P8_B4JN7UZa6+qETbFKO>t#-g#%qAM`sa4D{VK z+W&_Rt17J!Z~riVrb0r_U>`XOSNsZej{68ZYe}U~&EIte;6fWV%}*d1d;@ym=j-eX zGo7|il2Ct=YaeS-e&kFXB7jKUtzwg_`1@n%;jGAhkFkM zV`eJU-6*snf^0#hq*OUlogb~Cl2-yWC2K}$on3Mzr5D?~r6lE4$)cH89(MY%6h>NcPzAn5_c&>=%C;=K$FI-7g*5&tRW$NUNc zg>e$9e@*xQ@Tf_6DVa+3e0dGP4-9meCw4oK?EM=gD*F{0N0Vz4GuP@kOcw!pBul0) zL52`8A*@nJ5aGLxo*0jaBY+=1Aq2p{=q7<5ri@5DLCX0t&($0?eR90xl?5!QXI#fi z5Ewp}_7kJwz1xYcwzMwpe3QEbr^?*-km47Jt$8diBh;NsY z>@xmZ=(Ly)$sN~?`OC_C7wIzQDBW>N*|X`hJr|_|OO$*{Y1*`Hiuy-!!3U=Ri{&?; z@^V1Ae`61~XR*DsWl%qfRJmBSu-V8L+PDMXjA}{f)a3vtZjj;YvKDto3Rl`>Y6K+y zEN5t{dl|CaVEXn`_jB-nKpDrqe!N*?Txx^zd#%4zS>dM=&!Nc$a~mh`j=Ri^JfxiS zdh>o1R21~*`Qh>=c^c=9{wdWv+ZMqv^=(daw+@HmtpkjOwYvvzp@fJYSoY)B)wPI` zg8n*@hGZsVsuSK#qPXUt<_!q=gl^)(FUBg7(D(55f!p`8Vu9qoV`5OS?k^-v(P#zV zX8wlh6lK0xU)6$ge@pyg(c8hitzGVH`GuaDT@;s2+fe5F#Ew({Uci|6^y${GpPlMo zUcdQ9TahMS{_xM>`O1ps#nnT_@2OU?sjNbTg;qL0*%z29&NkieMXwj0c8*M3n^j10MPzp$)&Wjk@w3wG2W`b9KF%rSZI6A) zpjm@+{Z<|(0yCon0yE>Y_~K3tZS8GHIZ7AC_f_bzfJ~i%BRa#&wf(^VfPWAFT_Uo< z1D#>9##F2e^$X{wU7hVn?G{%{aWRb!MxFBJ>qk=cs<94%cj-(g3|FlLEr5Tfx1(u7 zkN<9kuPS)-y^Uhn6-WVhUfC+$jtVIy^Ohx}5*%dFpw&8R;QK0&SGnsDiOb6NPO4>J z!Gz@m@n7k;w53fq>Y%O^gE>`#?tM)YjR<{*3L@$InFzcc$tQ^ZARLPeew^iJDnzt@ z<@so#vI2gvuX?YYRB5h2{{3?9s1ByE0tY(@I9Z}UyEIa28WzNJyRS3`a98CV*)l$i?#Gow6;%aoO%$%^UfJ^`~=N zJ!HJd)>d0_7gSy^PpoFPuJ^;mTsG2+VC~gvnO`_IJO$230R0v(WFMyvYx7(?-eu^o zY#LD-7`br##&ea5ySAU*WeG8AVXh7+pl^Vmhwqr@On!{8P7(I2-&>;o z>8>1@k58Mj+G5yB;4lFiso}4Lj~^B(oR_7)&=gv+{O*OTvK_C;Ki``dUywphOie_D zfX)ci>247*_2_qd5#^-fi7U&jXseF(!*g%%9=mJN<6nCoeA2iCrt9nn6t!^mNS^kDw6$UtiF-Szg81W|k2e$k z2p&5}3GNsCslHaP$|s5Ba=lxkp=V_n+78E3T^&_z1+0T8RXOt_ntKkjJh!c$FWe|q zs56$f%2B#Ixr3#K=fLiQ9f@Q0%LS&*os9ib2G6O-0o{xxd@SdP3JJt*gB2a~z1htZ zE(h+SXW+wz(taU|17pX~=CocpGT^!9?TWtPh+$_;3jodV~&dl6^9TR~O zMmm{Ss?85}KgQ~aTMtO#72B@axLJQ#lgk+o!_*X24%K9PUP;&#YZE(n6_k$hNhIyqGNEhyOS4qTgu8{Js|P#5F6&SJuX!9;NeOv+t2E{@ zh1ibs5-Sc_MNP5{X^}nznFO`)sB-Sfm57r^3F4cnv-I$wXfkTfDr~GMJrUg8P}(hg-p)#x!27dpHCFg7-deZE{EolyK*m4v1=h zS;0jK4ykSxlkf6M2_%$vq$&r7WYH7xE*a*eNj=L8B4gQyG*a7c@iF16QoZ!n*{MN{ zXCto>oGKz>wT2Et9nbtfYKkvc%B6&CjL|%O?N^N>-+;axOjT9!<%*)@bVbS9BpTKD zp?je-BB6YUbB@(U^OIQP9Wvm??iO{YT-R)K8vQdkF$*0({K40g!Yz<(>TP(g6k6Y1 zbgmEVpMtzVv05zMY(g5yfpB4WKh{sjRjr+|ZhIsRqxg~*)dx6S8ab+z0YWtkW0a+3!+6weZ1~I-nUB%y8wSw zN*KccqZW<&Na@Qk7|+{$Tn_Mi+L{CWj>9UL)mN34TiIHov43#Xf|qwhd8vEbL*Bl+ z)B|`!u`>&Tc+0X^<4Lj&OKgu(ik7^klV9gLh8?rtla~Q;qkL?_);lr(2%5AfE6YWr;ghzM%JAj7%;78e$dr^<(2^3U&nu9p5IfB3Aeej#$Zk zn0<@of^5k~N%0`8{yavCycFYj5jCDWjJWGsuYc^wcnBX%bWh`lU zb~yY4|W{V>ba{^&lj?yz%nm*zFW>sG12qB?RqtGm>x97 zmf9HGMoS-eB-TunfOGyeuUH~+al|y4O+>N8Jwo7-7W9Mk;3cIfEp9)BTfHgnKft`- zk%$Tt!9s9&f|3D|9b><#X^lk>N?Y}Hb9wp6QACw~nUvDf=H+FD3ACiTu?_8dT9n>S zKJLr_vqJ{qRMG+66Ro$nZyxMFHh|VRVm-3V=GDIl+1`5|Eq(}I@9*9Ghv$ohnV;v& zLcZ==AM5TKA7)W)j7LncU0!$pT7a<%<<){~#_mlxrku_-dra(?eHi(tE>j|i&sPWo zO>dA}rUu7K%B{Sz+dI;{VlKZehS+Z8KFb+C>cvxX1zK5gj0D~YNv8rvxM3mL=%X?X zkm5+-O6?;CdJwNjn+bmkdtJ&n$OEf=A2+O(PJ*v8giWj0HzwLGF2zQCfM`KY`(t(c zkRSkK0Vl^so-#WmKg`EcN>`*A z|DxmqXf$NnR7v!HW}K?%R-HLb*y^|rE=ZPAo3|qJSYCRmPcdg0p}Yjn6mnRoXbgM} z{4R;Nag(F7f=w#-DQlir_>JueT*Tz&^@!M7pXL+G;@&mm8EvTwN>A4cx7Ppa$wYdS zeB=AN+xZo&KNxvfCwAnKS}Z!W{VJmZ6Ycp^(2dibdaC&d`1^cI0M=qe38cNgB$yEE z>qO!NDq%{crG4beo| zWVZ<#xu2F@G)qLQ_hXo^WXvfZ9wpg18s8mi9mk4#(nwjg6gI9!!t7*B;$X3`x@Pg! zB`+e(@u`=Fjn8e~-S5~tT8Vp#xF-P_OPSMo5GUrQQZ_5K^2wLmF%_p=`%kawyC6ee7YUIt|GUs_b4yapYKsZv(nQ_W6@Y2R_!gKSf} zeW>tRgUv&Yc|_8242c}AkwM_$8#3VWMZ#F*9Iq>0CQ2%SZill|(jkg}bh-KFZ?9NJ zGiaGslTAF+3Q4gU1?SMP@%3LeI>kQzA-w?OiV3#c$?ngTS=cG_&J;}3PGjLVVz!mV z4RqsIwB@TaK=~|8NE&4Y$^U{DRn{)IRRjri+re;MZUc=w*ObhcU*&FPt=|#1c@}SM zcmbKvZFq1FKX&Bbmvkz{Db8U>mNepe|Erw>APlR?h8W@L=8aYZo^ci!-5|5Fuvv3y z#HSO0z>;IuKGrMJOD8TYBPvvcr(tA!q~{bCf!k{)tC!RENR3o=JzCw4CXLei5BSCF zX4*ig5>J=0E`O!UcINfp4ml>|-1gLASEVMUEDd`LIl)4RXp`BzkGdm|} z75=Bt4|zK5SR)8~D-n#XPPC6eVz(5PWBF}`dhj=G`VQV3yEdiB-ck}r`xKu3Pb}F- zShxb%qHtbvMxbF>+hYqRKG3xtBe!EH`#tyY)Fb(y^l`7sVG(Dw7Lc%)EajQXJeYpy zT9NZII^nKfts)9P0yLte{JZf2n)2;v$3cLYGYBR=`a}?sQU#X#Gs{u@?z>#|L>%xGUbngi#O!JVN}Y(j{HkD>np3QPd`0xztSP!N z#gQGbvrSfLj*ay07_U1JAUQzGToKZTvgBr*V!ayMPwjTM$j^S2dd~Sfe4m{j|98_J z>8H)_ixIEAV@=*>dN=-*dj0QrF1M$FaiOR1KZ_GS*6~5E?9XUTZlFV0T=xZVw-nAX zbRq5Ud;f*ih#fuZ(dWTEmP~EW8vll3puKRh@3buU^1XR5g>kyzkm^FuAq-@4hOD}HRuh+2vO2ClW57YlT-cD~i_#DN z36C%>j}LKW9q!+S+RdCizpVvbQT9^2&pGmDDANwje;N!f44+^}nG?JnVqeO^?>V~< zXqd@4o6MbLGtlsg);VEwE;)4~ zm4|meZ=y=~tL2GcJVv5M_x4=3oO|h=Dfs4aYIU>Knr zTRhc$tbQ|WJ~FQ0Fe`M>%Q-K1`0Pw-ahQX=p+NDMg}6*!Iij6$5f8fAmfX0M0Jpp^ zzqW%`1K(rFYozRviUn>T&ViiM%dVs_;}^@8-Sgn!m^w!tm_wD;;w!5JdZYH)@*RF$ zEA>mtX2;bF&v_dW2|n!=mnM?auCA$;o+U>)wLQ7E=2(K~0a_v7zw4?}>U^br@iGW-h zy+v{^6s^^hA9Mn@QbP-759maU@z8F+=tE!0dlpcLj(a3if}O%nFY%mhl*o&SU^E@D z$Jf1d6^SE02B(66gBRkos?olm9(A3xfR~WwLsb!tO4W_2BT?$W;3%9HC zH2IadQhz}!&o)VG4mKuPKZf?XqIa?g*n3H6XY-CKTa5Un5_j?m$BVpLDN4dv=wtha zpJ$ASf^@|e1WPU{!6XDp-jtm)-qIYAH{ZYRit6_6`Y-vbvOFVf!(cH<3nioGC{(=6 zC6OZB{d;uvbgtFYW>A`xAqy(w{u-+wlhl z9e>%5%JM}-na{liV54RIp4!;Mow8}6n3DqMf_YBiwP{6ttEClI_v&OL)>oDluMfyr zjSBflN~ub2>`whP&WKmQJztN$+&|Edg6F2O{d?Iwp=cQ7@6J%J@8Vmr(w~bU5`u>O zWY2SP(gOZo57{)V!&+D?D9gnnBiRIUDLy6Tk~uVdYvs`JA=ZLck?zKt3?AdbAaTaH zGya>uK~Rhl+eJKbQHnLsHpO#I(H}|Qdae7F)}MPz@*`AnhKx!N_}QuSe-PX$L-yVl zt~8{ZN#0?a{7c2noh9I>%KSFssZ-Y^)-rq-jC>>+X6JtcaGHfYxOj7#8?zlt(mch% zkJ1k?Ls{wPZ8hU?2x(V)mO)F)N{cs0cg2M8k!frjJ?QsLY$rW3zE1vH-J9g({nKcK zma#tj1muiTW8ABP% zX`Epg%pfVA7wXo|C)Y^BGCfzYB{5?bcz=<>(5NF$iSCs9sc6mFY~)YzC4O7-1r?8e zAlHX03n3Xm&(g&*XMI{{yUntD+GJ;W#fqVm3zIZ)F1zE)MeU^5U|(qn5KPfG;(f@r z?%Y+LQ=00S5gIhMGW3AEeXfn$HRSo3W#r#KJ|d#ZQtrsN5lf$6spSCnDUJQJwlDc4 zb>8E7BsA0sT*{iSs!)0_*z~*Sp{LHZmHPD_*?dA&^g6P-1mY(2+1~cLAW=C%W#I0~V2wnB-n)HbIQ*kFRme_9&H{#zw zTZ=spn}2i|I7i4*i|)$NT63f6eOEncAh;`;@R5MOPc;urVMv$O&GG%lxmj2~oIHWW zhS!IdkQqrB?p^5hycjo|izinb$%m1XV%fE0yniog7b&qe=(2q_7ZRToTj3B+~NH*1qdRv^f!I7g-fy zL#%Nvy&|!TK%hC&`BD?6dEnkfYj_}ucdlvU$smy^ zzMwcS9Bi>?DGY~Am9VIuis5_+yvlA)jXB!kczvuW%Zd1MIg2A;nEke8J==FBeD2SP zFX~uD!Irk>=*1d){A*eaTGJ~L-BS7eeqC-N<_daMcziyap-N$1 zbhtzl?q11F^$2M#M6fJr_|fN8*QA&WRKlR*rOQ`ggfdQ!4DX; zZ$k4%H)>0;r|Px=9)7L>N!G*3ubTVL(rh$5;{-{VX4pm~CT`;bM+ws9zap4|_{xMh zCQ^2oFCk~a)VFDepRIO@Ms>)Yd?Zz=iCvUEYoKnQw{dL0$w7 z{w$0K$FsZQ!EcKhuYxH^@M|bLaeGO9=rtI-yE|Kme%XAtya-#(#YV(#Q~+AQTa0M? zhr$Y|*g~5=AxmZ#m2!s8#)a8uxJ(ROs_~0`Rq3ocUk^=qOAdJaqSf9Pf`Xj|SfA6~__3FQt8HA=W$x zy0DlS9VY+8JdM02+K(}p<#9E&MS{$%vyyL0>9l65=r~t+TT?B9b(GDm8ax|FqP>bG ztc2zJyzptC%-)MykcA&GA8jZ85v!IMsK!hM6O2XfH>8@UaD?e%-&bsQn}B3MIE044 z&*$NEf4Ri7V!C2OD_c|l9Z#7km^1U~M~c3Hsfj;((%MX!GU5C2kvG{MOo58?HQAa| zhd>q>PqpFdk_sZn2;Z~Ves){L;W{<{2=uP-q1dEtBP?Vw`o=)UDDjRZ)ymaA<`1*X za)BJ4zLFuom0(>m?k%<>6d91(@6pnoH=O`&ZUF+|0 znaTX%j3?=tNFGU)dw#iJbaVzgtGkFX@$Q49=A;xw^PU2W?y0?2Y()-bGor@Y+d`l* zS(>*wLSD;wNZF^u#}$9lYgWYQLC!^hJ+I@_F4^IrfnCF7>Jgq_?(A`KT<5Cv^SZKQ z;3o-W>Gv&6B}`U9DSfydINlPEMBtsRn9$3{=oPjx0XXf?yKQB?E#e>bdNo1(Fac>9 zozr%WrYpX^pp@a?Oo~Zrx~$pa7LBLC*f6OvNmv^@BdfDDrj}0YV;{?tu(S?-s(*-{ zFRS}te^v5*Q8k@yi|6c)j=?6<$W4^Tl0iJ$VC~0yM%JGsc-$6a#W*Cf9We zSuT2&?v8OJKO@mA$&@MHleO)<3TpP!ny~SKAT2E|Tx5#^h^%+P$TCVzAZ_vK*uuiF zfr9yW{42_BLjc!izD~Tt74m&Y=UTX7HF1PZF3bLL0pROKBHl={kx?28{h%7;P(K{r z%I*{L6DJXg)wbQ1oSt?ye#nD`Y;bHd|GD)k<-~0)lgSe3K*pZ(&^W2%gpbPdH00*@ z24~qUo`F+B`KruWtdRn>M*{0=7{-O`%|8zL6_8~^>X7XCL7~GlK{3`KR&`n`&k8DU zJ)lkIdd^OJT?ht72z$j~e&N(? z&Oe2>F!3e7FCWn!oZ4v5%*msoT%pAVqj?euzz? zb90#KLGwSQ*5Hk?imrUAs+B(f-DiE{a!Bp!11LD%yzrFHUq-0p_%D_Dd z_Exo(`mfGEkU(1E$FK*SuUEt^?7tQZ;-6>TkyF;_SKUpw*L4*=ho7#6Wc9xhTP;%; zJ4|rd)eRF`h1i5|J^E%7AYC4}LM0e^k`ISmw8UC6W|yEumr*`>jmAo>1EN!k z(4GUxH`8_Zy@-i1pTdZ=>v2%d+k_|O;13mDsKRkn;xW(pV0G0(G|AE95v#8924b#R zd@j2^eKPEcBY$g1U8xRL)?Me|bWn*j!UWyET?eSMs_z}Yn~dDUlEfW0bo!<>d0thm zwrFjl_C(Ho`}&ND(MBzK29^78bx~Qg$5baZ=4C`>jRBu<_tQNB|Ztv`ouinqI;4SRjK|cdyCQ>T&K^WTCLQWHV}_mAV5)OInV|a5njnvlsb}`shL7 z#8DwX?elJYhgOy$K-C_dPp(e?8a>fGn)V%hUYs4d<7TiKkxzaOnQ?TY`;@bn4F^W%!!rJBBe zoFwFUf{k2hb#lRZ?ICRfBpa1^px?ILf`2VG)Onmsps}l}^m5Fh2WNVihTkT2^jSn2QTV&JKa6q`Tw985zypv(mj5iaX9ci_936c ziXDep4QEpYa{kdO)I1~loFe&5^L&l#sw{0Un^3-#T#m*d%8hu1+u6l2bl1YMJ^Sq! z|Bu`h_8aefDMxiltx0okV3?K-nlTPF#wS^6 zB`k1E?r+lFTX`wOlp^xNYJ%Zh6J!+~AT{kLI#&TML(Y;MbJI##zB&k$O4vyn4{FIc zMmw53rdJ(5q6@1FfgPycR1tC=1D_LwQYtdt_>k#hhrJVC&+cr(=jYX#PWEZNpLk-W zCdMczfoD$UxTzkJ?=C5py)oOUd=vfkNBq|^<|a!22E4*2r{3_A;p_^&ZZn{ozxd#6 zaA9GJvMBbUY;i;m0a6_7RIp&RtvKW>@b3+yH4eu5LnJHy2fp&T9+hx3>H%{|Sfy4< zXNMq{)p>9@aWP#)L4+A6MKv>j*Fa4FtQ z|6DDyi9DoEFRigd+dj?jS15o&6}{?Unamab;lH!@?NP}VE+x%1pRr=4ky5u>3^3GX zl2oIN9*jx$k+mcjr0kc_WIE>cu6cy4wh7{gvx4|%#C+*xPw|QKed)1U7wDbG_qFYh z?mvO#HsfDEbiAVM!#y!%%UV|15_X%e5LaoT9#ukeao9UX)Pt?P@vh;j61{{22*Ruo#tjZF-@kLZ!F1B zdDPd!EAWGAYd@>w^^%3p9=(-J@!U$UFe%fr)@eH6luTulObB1UOG}r$@KP`if~m9l zH)_qbi^>Jn7arDsfUX5!yWn02Wt)R@P+wN+==NVuv}yVE(id4_;F<~VI?vi#)9kSI z1wZ>$<3-a>>c-_mdKR=1jYNwwph%g%GTovvU*X&G31pJgXDiaorTQ^5TPD2CdAyQk z*1<`{>EQ>Mvh&}rGw&y-=5ewJK8%$0W5Ubj^44!=5B9!^nYbQTCJJmG9o4BcITdTD zHLO`NWZg??#=knbEmeM~yWJIR+Lf%!UsM1uTX1DzWGHlKjuf9drkr2cY zkZTICOY_8#0XxSl`dWBT_YfA2;@gvC6W3+*BN+-b;ipF!HK(>`IY8>m3BEz$5~tX$ zmuG#nzdZ$Wb@WN6@M;954rBz@a6S?fK z2yy-mPz}x!RO#Bsl=F?5lcb3nFcho&8LxyobECmI`y#6Y!4e%xm`zTR$lqVDHL^dELO&#)Bh zQ2T5uq4;BI z;eNLHniC%NrC zRkB@5P+-uTfSpJXP&?HIXBy#pwplwEd#dTL*w~}HQ9L}c3mLENLl;V}Ou_wDmEY5( zdd=_SMp+MV7m)BJ@h?mAnV4yA5&EEpID^1(FO1}R%!q$)DXEDWO1FM9#zr;CFf1mfhFpp25F0xozt{S6wHbmG} zSJCdH*@&yJ9pVy6u4{zmt-*OwQCg?2pM)Z;A(Qia-hl*?3({?74 zAlDYG_Tk8Fi*&?^&5S;lPVru*n(WHX0p3lv1E# z`4S*`LwUM(CuIVkwQQp)IoK~rknGtE%XK})%qs=_2RdO#$l%4OLZ0@{6 zs|*4^(s@Lqc6i{44!lt$3`kjv2n11VVO_&wgi zkVK1joVrq7zB4K?`F@y%Rwk!{P1q-t)3+M1$85iqt@4Ifl`(}(^p`B12 z<$(7w`a^o-^quX-*md0qei2IZq@=Ty;$ruvfI-3igyq8&WHd=e8;x@vGy4tqskJjbJ~dDo`2{Ue6Nh_QO2}du_ECe7iq~< zfdU*D=N-wXCZ;UW)waI)`F8^jycWnq&X%sc*EL!jRROjBnPIuuSIov+omiGa1MoBE zbWMqz7xvnpmOIY-uN`<`BDGH_3dx#lERlfZmOB~JLY<>Z!thUWhjLG+rA6{ zF5{0`)_EX`j&czxE^Hto{dL1~R7?)Iz0hK`e5DvtDJfS#;qJkM;}iJIh_6fECZFKy zK8>(|4C_Ok&M^~53*|-xdtPdPVX614hR1NpCc8 zSdQc8H?&gyUyc4=Z6Rck#^|1b*!F~pHSmPk?QQngsi@DIW$K<3jrw<=>;p22MDTh! zzv1{33HAkRn_^qpO5f7;ebVWa1{6{7I}_{dAe1Gb*OIqjSmWoF4`UeB*PIM>tzC2~IM=RI&(|{HJ^+jSwQWTEi=r z;;)=v{_^y3af+8H<_?rANG9hWSxt$-*_D^iCg_ntay;a@aKKsT6ud5NJ>l&*PxV{Z zpKGGf2j zF~;8reS0aVI_CRGimy|QPSku#&MX(kj<^B4EXuzIK7v)Tn98Zoqx+O(LU}Ix8!-aJ zxA!@yF0(#4iGpM@`g@$S_YQWlSlj)6vFY#g${c8L8dt~yhk{LlG!kfkq=>dl1YdS zPpC|`C+bA_`%-3q=DQz$?&;!<*HW8~MCa{j#n*3W0znH|-VnW8vPxix0-P_W<=iMmHtJOoTA!`J$ zye&D6u4HxtJjktj-HlWB7j5hG2X7CqZf`DXX-{8?s}Vsfg;H{fiqvR&M`9IM_jo%= zYtaatRgm~S&yb@G&FZlMrEEbIJp|M_z)shu#inlbX}rTe7c(TQ!XvZOb6=*oSR_+% zg)~)~hV=iB+vA9p68!FYueOfrgSMDmFtbx$>u$M>AH%<)IRVetxa?SIrVo(=TrTHn z1(i%jd+ph%IcB+8$eZ_b$EKR3nKL0ACOs|`p)z6BI$=G*iy0#5cbom(`4!W>wqJlq(n!Cx=eUv&*xoH!3evXYB9o=j*p~n-f-Qu&);N}LeH6(>} z&zn=PS&5W zmvccU8-(tE0Hn~BaLye+FKomO|ER?k$H4eNK0*{gSRd9#;HQhN*CG7NEZ_;eisUB% zZ-*6!)kq62Qy9wGNJf&u?`j7hd}1Mj@g*)B6tW0dBt>y`X=RP6e+`HX*MGPCgze&4 zlq={3@$-=4wTIUR9$~vy5zU=R?!n!1**ZLt-wa8e>?<`8E+_S;1lU2Em#dn7sdc{e z$YG29M4bg{2di53Dg`DE?GsHTJ~Tpkz7+?9O=1-u+da&p8DJ^K`HD=bjd)c-POK)JC$B8P+y4L z8>=UI1s0JjCI?QpGXzJ9P49+DnM*0g@TF$RS)to0_0Pn}(N`YZVfv6k(3{yWljiHb zW;+}Hs?6s)VK9MAd5R~jlRA#kdX=4#_hnjFK~ElYaYeBx?FW@=o2C~$Ym4nN~<6Wf7VmHKl|f`s*M20q9D zr-z6qj@lMw8qZr(7g)llu@N=K2Rq=!}^ zq(`M`YdE*<6GLfkR7oD&LoOUsR~S-pwzaGie4UD)Zm!i{ZQ~RQ7!%BvVdx;FMI%Abxa>j?#lHH`8@}6%AMeq7$NyF~lakEI-%T-fSzBlJvE<@vP_? zMCTZD;AhTUsxpD3EN(HJg^-|9@?fns6@JPNNZqx$pzVqR+PmE)Jt?=)q1tUY$=8b%XmLoVf{aj&cd&$|LwzvjgpX%lxCwxBOxi0(n?AQ zGD;aKB}k{_hKx=@Q9?=>A>E8JfsHOvLWY7!e4q1s{sCTlZHIF{=f2r(nPtlh3o zw(SYYb9HW#*p0^7xy!}ChNPD>$5m7~P7~!+t0w`$36L9PofxJ=a!dTaZ%aQ%N7M;E z@1-jWoY~Y8Dc$oV`Jk8OBacFI**^M&JXBk`mJxaHQwckTmUy%2s`p(K-f>^Z&0!zQ zu)4xWWN-l2(VpOP7H6fK&HEIBw>_T{ij-oB!3dbPj_jADWV8T+H%9D4F3u%yd@h_p z=xQAEWpzGP^ly730)maFW?xdooU}Zq3*T~}4P$@n)*$SkVT0xA1yjh}cSp7i-oCPB zrV~BGaD<)4re!N#s$Y&xc|z3lGi1AJ$u9~*gTqWot|9rfeYl>9BewvW04)FuU>GN$ zE!W=m!xU%Bcr6b^PQGjkl{Fd^hj{9o`&F)$01@;n#t%cCA^} zX^C1V&raEX6qKk*l;xP9^tj}S69MNDX-#BOo9(GnQ8!@Pa4(vuno%H6=|6x{dw-j& z8gh{^W~d!6cB92z1*WUvD!w;HIB8HD93u>GQgP*cht9U_vA#Flqo{ls-kA^{63715 zoo0-jHZ)f9)1nRrcIuZYYlTi0NB|<=UXCwQt$kD|e8BiaMlHq7p9Nc^tek28Kw~Dj*Jy@nU`gZ~$D{EXd40*I5s5kbiz>t#c4Ln%#Ng!X(}-YWqGVC_s~3~K zI1xy+hV!9QjryO9M*B9by_Zk@>-TM%H!5u;j>A)kgWaCOw^d)_q_SD;z!UQ}Sb!qxfE61392I07Ueh z-TrIMrMeTcsO#eIgAAKZgLv&Hv}Hejqn4grX6G8axSbrWXmpLS?_;#4EsfcsbZ%Y6C?1ieqR^R_p!|-A#IWZP2!z< zKBVp&D`hDaMYOgf!lh4og{7V+K6zO3#H~zU_0we1eu`dbLQg{8+mgjdb85-8Odln^ zW~s@H6p<3}-(h_-_rd}k8@5GU4Kat7c;&c1$XPMUV~wvC!0cv;E8#CmX!`PL)q_KR&2zL?T7WCFnauZS<|hVB#-}X9c5bQ<8pxcYxm4UOsUl z6k3AlxnA^nPbU!>NteNX@Ee}>k}J=Z=Ry=>5!j@{N8M+@AdlXPeM*^3x-tS}1ZFJ{ zXtCY3{hJxVHC?*dgB|9Gcz?7mrz9bDdiBdh0Fi!v2(WZzd7Hqjwf3+n=^?1HZ@-O^ zyC#|^wfIOg6&lZIiqL;crwahk8GPm5?u3s{=Y|`RLuntMxPhb? zb-?n;t%H)F3{f(;7-BN6m4AEUo-b9wH@>4uOPqV=eBe%rCs|{ce@hBnl{lh|UPBey zpVd0J*rWS6kJZe{g!gSA+VWk}cqHL-8nU=&D0=Qk@VWv(nc>C5`o)8J_lH_T@tA63 zoBBWAqGvyVboR%$C6buDOI&brZ%(#pGtT)g2O&Y$673TmnJrfqP<>{(m$l4soDs!c z>C63QOXd`I%if)F?Gjyg(5$vuzk^{3_vSOlqZU@Gp^6OZd=u!6dr4^b^!(|vcqEuO z>yF}fkG`Hx8tfds2X8V!s%kes>m{@%AR_ng?C)OHFb9;A(p)i;NnVKLppseA!QtpO#l1-lk zNs0exWc=nY>Pf(}KbHStdq!}&!=16lb*!}uj>4pzAaO*;gr3$MBzs3Y0nzv0Sg5q_ z%)2O2YO_zu_DbLw>5}hX!V2Mry^K%UldireJ^I^cXz3G>p#w02Ufm0V$;b-x>@rlS-VkrIeS8n z-(6nurGK9^e8717I44Hr7iAe{B8n&VMh>yyLp)k&^@xQyO`o*Cu*Q$ddHRcTg<;2I zHE6M}*@38in7{I#ow>s}h2^_TZ`%9LoBhLPzgH^vJ)@rCT@}bq!3Q`+71h1J*SOoH zSz8)I+wNrV?y?X@+d}RaSyW~Ve<9E*dLDS%pWV1e=fi4%AUiMq5ukU*|8Wz?*7~jO z<5)naFzTjJ&{18zyW3*AwV{T6GVxRZ$4_b@8yP!J4PE;8Z5%>>)5!Bc>i+(es(pSW zVbg?R0j689<~X*QZa)^X)cF)t6|u`N6CIVYQ!DUgBo0IHYt_&x{qedb%*tr+f?0={ zeva_h;y`1wYB3|J!B`_!dEt#SofFkY3DE`a48M_J73c@xUWpKO?=Yw9G?=MyNcHA* zRUUoFk|7hykJe&cSX!`s%`|0&+QoXo(qpN+eije*Nv!Wdxi>@T0*eB*=o$GLv1t_i z)EcwOZD?0@cn(tBimO?6M9l|$JBrtr=diNG9kFujGxvXc0M5Cc5gwWn4Sjphf%>Ke zBY(J)y%@8jptpBkMPO?{SyX*71KT*QtZ&B^aKC$(q}EH+^;JT*`C~0pqt5>5F?|M)U%GV_Jh+WdOaK2R=a#Nzd#Xq3 z;fx1>eLCDGpP|@O(=+6E+f-FdURmTStS5I3Q_XaKDFU_=cuZcGHW}Raa=|4OaOf8X z4E1|Nj!H2L63mtsuBxspknR5mPLxoB%BZ0(mW1JqO!O91EBM>zA%scBCOYA; z93Qtcg){C3eTm|F7U(~fi;~NmJEe>fH(pOt?A|roSkSK-2zE_m`+)lo$a})rb8g11 z>BUCeZUxQNyLGU8iF-~4#!_P&;wC(`506!(>Jhvu&llAUS{tf~q#ULSk^vYD`)X(C zFNbUEA5*UlVH#b-oAR!nAIM$0O6S11qJF!CFkOCHK5M+H=LyvlgE8=7hwb6%Zpkg5 zCh6ZAL@uBm_0_x(Y`*OO1eYd~3mz;cEd|ezw-PF?NathjF|8l^PU4An ze35qQ z%|b>wf1Sz$s~2!vy#>9FP&7ev`MK6&x@k34&4%d?dV;(LT!A(zt_sDPJdp}a zo;*#$s|kBTJoK1qeUe;dbURw#$5Z((p{yD_l;{R^rC5Zcg7`V-&H&*QV_{~ic_h|o z(4a)YLs@gdo=uzf;@zb!iroHcUKyp~87;$9p%H~VM_7JI| zU?QvS3`M(L6*+AXf&1u=;AeMcij36-2`^!+1`{mjy3BsBuU?wVi#kBJg9~d=Vh7J_ zdXU*N=3TcX^}W)WZIti58Eea3p^@`&xtnsibah&ccYwc^^^F9?fF$Ck~f z8L+;xtB+1>W0@oeb4@zJzJeGI1CQ49t+SwJr!_@J;Zmh=qev=^k4$8{qXbME3Wbbpm-3xESf5|<|envF^aI=Pp2Z2a|HVd zUS|qV;2wQ-C(c)7cZYm3VEi4z4a{>*INO=@WnQh;2zZ&WSNF{1yYL8+;4DIa&}Ggr;{*Q z@JfRSIrn}UE!(Az7kfdI*@oOgxz^-{!Ff$IaMYGz<8_*345B|(at5zSZQuPSK5^9n zKPzSBc+Wqf^(d|dJ$W6D4+rmbj?I{>6j#o8gm$d|lanJdK)>w0-~=E!eloDQr0p^O%IPv9n` zdD}mEvuQ{!-nqOlb=|BBtc%NHZcPD26Ot?hmqDc-e!QGGgxLT8Ha|It58Lm z1&*0hkXDX9^4Iw+dE_~1kmJJzT92TN&#wGFZB76lj^8CF#B+s6GEa9-qF-fe7*UQ* zXP?{BH}^aRBH$A!zjB}Jx3M@F9ASi!^cRqPTn zxpa{rF)>kQj3^w@#u4Rig1K#jnaYnXE*oxK1(L58Eq&&(%+bJN4$*9B9hf0cMKD5- z{oy2h3ZpTHdA#Gts1cl>&ia;*W*&OGkv zAVX4cLm>mMvUQshI!jO3zN6^!wJ;}~dK(SYT^L*~| zK-n28LmtoJ!6X-RHuRjsr*3mO$ooGaK;Oz?2$qIg@!;UmaHf?>UdA(ZS?@qlVW{%( zSHWg~oNr9wK|?nrE&I!DR~j-qtM&Ha;;z;K{ms#mr)zwjsMLfs*DUhC+s&XfhMrL; zR#vE!(CjYznv+QcIw_A6IQ8Fu=J_bmRdb(wBTjAbl^R6IXvc)7s z_TuxS??~}ldf-{}nM#CQ`&VQuL}jBuVi>!%HA=mnq?5mq@wgf(I2J+3N6aF)Y&>-b zva*`n5M=)zOMcB+jiRQt_bf|~=%X0wIZi0L*Ye43NU<(h3f|iJoJcT41vhI&ZHS*V zrm_Z#?*pe)YY)=ba25(@6?*nR!@zB(Wm{WEbK>}tQS$F$O`qb2maeem(agu}XSFQQ zO&*V7`s2bp9n6wio6JGR1)Zh`)+k5bXlvz)(-HBow@i=@iv`qi5Uh;L*p?i$0ns#so z3$B0@(;u913Ko_3e2^cdsxp1C^}ZHsb4Usn=wgo-1BK&v`NxXEw~f;5$KGlmO+>gC zFBu{vU3wtq_#jE0h&LzYNq_as@MM2W4_|7bp4{D)A3RIX%Ey zyP_X8HcEvWgGtBjNw==kui=I1XU4Ll{d|%yEj}lUknp`8*@+_#hev=#XS=b+5Gm3& z`xU6Gx&2XdqH+7vd%%h&Rbch&>Q?`RG(IhAKK*I-<@5)DZHj~<5!I?A-s_pYcvpSA zPJDVTZ3e=pC~(xJr%$wl1xbTVa;Jy7W2mBwqUyd&ZV*>$2cd{kaPq*XsK72Pqr!TA zcKioi&&&@$21!ro+4yif%ZSMe?g^d0%8t zDsp1jC9+RmG@O9h2OH1gxmR=Ovb>u$25)CT+?y*+Sl;9pOOHt9KjzfY@hM2x1{{QjJ^00)9$R%$r6c7s_M^AKMihj`pklLUhdbSHdAa8H?X!Qs@BpWJ6=)2k_CN+*3oRzaSCMx0F`ds#R;7!`ndf z>&0c*4$(D@8%*J1Ybq$T;%E4JvYwB~1_}-x8v*G~l^!{x@c_m|CH;Q{ z)^hc$q)v*)?d=JX92BXUW;84Ai1I)C>Gj zdg9gXn6H|>r$Xw81JP-|4o|`N@;tan^F~l!TRvu6)~l;PIrR$T=*=mdJhH$rTJT4I&#r(5q6A=l{l;h3YIz zlN4W0;?4~k77&3@-?x3N@iUI)*t6g~%+T4~YVt$}Y)e!WJk@;kh<*P-kv4D7M+CQ6 zeXH|XE#0B|c+cD#%_zqLjM8gvys0jjjsczs+Tl9uXh%5cQ@DQwHH{?-Ult= zpRR<~ua=IH&c9-V8$YwH=t=IM4|v;q5Cj)9Zzus#f|oFgw1znZJF~%kiSTs~p0r$Z z$NJ4q^nSq)N~s>Xu}-?KH!wsmuhqLB-wLeK7J?dDvrJe5AGxpI51+`dn<6A1IBg>z z8e!KC1;xJ&J_Maaz~Oc$c5UB5H<14Yq%mF3C_D)({pVgw@aje^SJZlPg5@QDyI{0D zK17xGHqVzqi)o0e={o*@Px(x_Y{-;mhw1*dS`DCO=aGZG!dM$?E22H1By_nk=yBq? z+&@U+^IZQv=z!YzA8 zn4c@haURb5khZZYgaJ3W?js68vx~#RZJEmCTUI8?%k{GZ+gwQA3#?M#n_{J2*Ko-~B0mhmMGO(5IDx>#nY_tEZ>(RJ&hVjR!=_d>) z%a_G^_MaJLwO9vx_X{rqv^lpyv0Zz5)qj8`nQwv-)dN~JYhvkA; zkF3+Uh9f{j|LpeWzTvPaRBy=kG}(2m6+^v`s(c_fW8h;KH_~uL#>zG>CaYF&@3kkD z2i;@71tsMIW$g)3qwo;>JQym457WfC*52ZqbIs@M)e4me3z@3P<7+Gl)>OYS zWb>_+gO$DHuB4jm_aKY$$Q%@!0^RbDman`oG%@|Uf3a7$i7`r-eeL&AJZj{(hOvh0 zZqI)}u6-IR>90K;#HJ={P@IQ=XZS%B)b#VN529|~dn03Q@>P2lBK9%Njc2m1?Ko%9 zH^?(R(7Q=$r|!$E)QCq@y?pj_kNk}raCv6j%p)G~$q>&Ood)j_G>Wyf&_8{rpY7~t z->4MX=YeVhe+CDyY8A*W_OtrBY0}4OYmV27+aods2Bw=Xzi$H5wVzX^MRH;7SDUfS zgxhNUp36v|yNeU)2c$Q!El_9J>r6YV2Pa~Dm<&-NA;+Qmb5-s}L$PK;FPChma__#F zGyP*ovms#)U1TLijCc%E8azyE8kUqSMoN__&dT5KzZR^-Zm#5`-OJi4bxqc^!YKbm z9_+~(>(G~p8-rq95AD#X^2eTiORKXlc*Z#(_AWqMXqrzOnMfCw^Ie_KM`e@By9tIq zG*{iaJ^!urj1ABL>Balm_~)MU70=fM5V~=<{Gz_y@?u_w`ug%lg#{^7mk#cfz92&~ z$?Ck|)x+m+lSKGL{@thzp~m241Cdx{9q}ol4of%b$C7BgxLW93=fJMZZ(A{b1ka(Eyv#tK+1tE$zN7rSqScH)_x+ws0 zd+POQh9%Ynnv@6Qa_-A+BlA#{*jC%P+Gd}oG<-FhYg56$n&G%G@eILss4qEa@k2&m zc%H+=yNOI8;6LECvf~g~eC&7m4v~ww9w^Y7r8psfoYj1ECEYE!N$2agRH0Aa zmP(B^GIHg9MHB#d$$644N)E5b=hm+mR4`1#V8x`_x~yWF3Et z97P^5K8yG|^N8(u^ke*j0Q!~^c_ZzYWNvecx;4SH@7V)91H(ekRRl8Z;6{YGfiYoy zH2FTdlX)C-vwQ)RP2J(bB95C4*-H_zOO(0~ZlZ3X@O}%%FQv)QUtSu_)yUU~$6B>U zBPSvtL;mh-pZS`{aAtCH>Yo}iN1t0Rk~1#8w3jDR=oTr!Qz*Xx8}EIY?ClAhzE}yP zXBsl&KE4|z42n!!laGS}HD6$j5Iy`xc0v>9J>k!RzpCqPd#LhIjj4Y;(iRz{f5V=V zEbzABkWvpU;>l0@YOHSNZhn>tm>e3}p1^gBLJwWn-i^?Q4=tn*{n^`GNv>swj&^tG z$3`hlo~ci<4Re%}G-o3R!Nx1%C@SbUb^|1`ytMeb6t<#7HD0o%lqgYkvAwX}cIJJn zSjk;Z@JXZ@(apDmPz|Now~1A?S3a-6!zH2b=i((6_q4}d?S@adY?O(9FBQl*LYVlP z9Fix9U0(23f>mX~xAD0;no-&X-F#sS>~qcH<9b@a2%gAU3u}w@a(*0qX4Nu;DlyDH z7}^~AkoH`@T?Vh3Ft$LJ`zG(aGr7_-dDNVGSRkEn={RtUs!+YX@X`)Kmi>0S3h=)h zkDARF%FyWxIBa^+%I~ZZ*up!Q5$?f4cHiqW!j;!mUsR?k_M_DfL%4CFZLGgG!NM#=w7_%dHeX4MTcVNvt5qGu3RTe)!?WanSQl_ zko37iZSO@%d$ypMl>H z{p#7x5tf9?Ws!o>*%tp~1}ho#HgJ=~&eMFZMRymo?^QSv&nGA*8L4Lw-Y8wV?8-?+ z{-h7wV;XCXq8sP0spNcNSP0{o&e`^!QhMcI+9jX%#+lZf@FFcNLnzQoCI#->GQu;! z2UiHsq3Dxcjdq;BS3)TYVWKA8vJPv8>u{_~(^6ZSR?6+)RXT6q>5RiDR+EW$8eMO| zip{FkbEL@cQyvgi@O0!jEq4AMCuyU~Fq&&qpCE$9LO>F7T)ww*P<+nP+f^ zFm&WEA5%~0AEVWtB*Zz{>sxO)$3F9py*v0*6Y}0ul5Oqlv3-q&I7m!2LMZ+ zD>?|a?uR*+(D6&*^IIDJ`E>pZs`mI+#c@gI)p~x?w!xl=;JC?673vHFYwLWz4R2mi z=xS85lf0}dLh+X|YR`VphW)OB+(pIDOU;y&@nWsg^)u0js(((k)IuLDIUp9|TZcuR z$Lp45@|-M?CV6)L+c&=Jxr&k#C=kI3phCC~*OIvKZ49$wKg6k6RsUpO65hV3Hs-4# zRs1EaRs8De_%C@aKC{R{C&mAOc%$R&zkz}DgEnSSb()D=HaUm|BNI0^F2y*no+IH_ z+>>^g6)E2WYYap>Gc08;boSqMd~|>6C7r?7j#mklkAC$m@a_IfH9~o*AL3e@(l>LT zo!?zp;EG6*dWj*&SAPfP@VR?jBa4^Plrdvm8T-a-@kc0A#XX3N0RwUtgVF= zV4oGW(cjP|MH!-yPtL>Z-kop@_9FfOAGkVfu{UMfyhkD!n&k;mLi@Rs&a0f^mWy53 z+yg)^MCKB4RdvN2Dq}R0CZ;p|yXlkiACL?_)_SLG{x)W7 z(J>p+668*)zn46H_ynUoQWKzk^z+|30ywewkf!&OzOgvRk#$2>|3hrN@)*Z(D2&^A z=6|YQYL+l(egjw-EE(On*fsb-{pErZ<4=+CiO)(@@Q2Z?JUPwnFtp-o6W`=f_wl9a zv!^TJ8_$7gHu{zZdYlwj+{VPo3^a~(0{Ab3g!v=oqb=Jnx3a`iKT~doa;$7;s4NbH zy!Xrqkz{`uj$08 z#V4$EEm@}NeB|-v@2KXB)wCzmpZ}CyF;~%Z;g>yiMp3Cq2Da;|-&svs8r^WF#{(F| zLmPC67-yuOW@t|s!^^87kia>RUAT5%_`&ZGbIqrB9crk1aF%HqJ&O*%`Gd?M`nqVf zRdS3F&eM)H8(-jLx6CohGxv@PY-Nytgugk)tcWIssp5{vQH|rRX4%>;Rwwd4x zy~I#0M!`2wYIU>ap8lqKCr>$2V))9bp6$l(jo32w)I$HR6+D_wek9dy;{Gofx+nN_ z?|q@VejRXMr`Yagfsv_}8{rzy_ymq=ii7nu7n*Y#1D>V6Uoypt`P2pp_`Yb(5Pc;& zt^W3HwFl(TcM^X>7KUV!j~N5N_f*TB0%=fefx5BS*v4cF<@vDKd~-zoVEzy7*q+7Z zXqMx{6=qgi4`xY0LTv~>IM+nKw z6zc4Ea`cO#y+pDCAHFHQ3}qqNA&M?NM^aV$&er`Q&XLj)!%H7Zs;5AL+6aw~_5*?0 z&pNUQc0bU-6E9x;3Gsk58zwdzJqg@kpMZ#wf7r?~;+GI4`gmoRcC&9O_9CyE@r9Dj z3`tbr9U(1&Da>IB?OBV@+9nvOV0f8*$3Dt?eneAC844uU;Kk?)~j(qzIZuYX@XJOG#S$|P%{rExDo zK%ZVkU4~DRNez%4+xbRE_JBT~gHk5AW9TT%V}|S!cl2rN_vnu@_KFggdz{5~uP;b7 z1Oqmev+}&y3dFxGl>^XlE3T*#iQ34Wp4!}L503U4_#hIy z4ZX%{mx~`nJ(<{!H4C*PJ)ak!>>Y#pQNAMxX7#x?M_7OJRXIas^OV;IavO=Io&K_~ zw@XG;t9V1|wAd;B^cq&Rb;uf^7G`c74Ys52xEzy2wYv+1f$B$cWmpqc--Vdx-%L=lbr}=dU)Nj%G-k>8PaA81$i&dVVYZY102hLU z!)|A5^Tn3|$7gS;+83Tj#6SD~6@0eaTNF04A3&O1@}TdVzhI2)1`|-apIiNK1V7t5 z+0U?3Vs1+7yC3DFUV9}E@p5QB3!rm-2KeN|J-3{vzP^F!S;+0(Sgbgmapd&9{3;MX zMk4kbP!moC|hzt`VOHeJX_6ER3f zCeL_8o;9|4e*(l79d|y=XsR{wr5|umGkT?#iZJnOtxC3YMc~kO(bS8UCPH0_97~dy zNO^}l7)^gJg1&hFV)75wbx1T-Vo<2HEBByLI1?_Q`=PP^Jk(A%a5Jyj_cBp!6>s}l z<-w9Ud1Gahs!*+-7we!K{zQq9IBq%{S@)#vark45mQnNdYr}?X(LAWlJmuhGVN^vXMQ&fWIJ2kM3vjU+#5IbGmi^ zT*EaPBMHM78B1S9U!g5DK7rW0rbOCYA6D7+o+OdyK#Wv*w!}96aEK$B=$N;Kq4l7i za3eR*-X_W|-WmVbkTR+d6EIz&$#x>pF9i&P6-?cX&x9Xrk0!3ybQapxp`55aa60a~ zd5LJ2rbL?IXqop6OauWP>~D^(SdOk31=*TY>$cz&f1mbiW3)~tEE6=)z_ZcAlRiI& z;z-ze)UT2FI*rA!y3?up5U;Gop=ynn@Z6IfRsH{fYpkfB(*NA*7Q{X;NH0~jo8^O% zIE@>T-~J8Pek*WFf1*Gu0Y6ju&?Jpe#5fRrK}I8e$;;5Ak)${)CiNH9A@Bq+!Eh8f z%*VL@zDE(YwWT72d16GEx&HNW_%tl4P}PZ3!z{1pSJy_&5fDl&=tAc!{kS*z_&85; zJw?jlwjV*`Q$zoXF&?J55U#ft1idKmmmbr)c4{csr%r4#lcybQYYE-EzAw7;*;@lO zh%UpSCf@tEw~29%*8w(66YSY3CWT?7eC#4M-K(e;gscf)Vf$X;#X||U%$G6gwPdD- z3$}5$d@Lf`3ii~JHGV~@*P#**3irUn=J&>_(w}@Aj(AxudUwxquNB(@U#a;@Bu+=} z{x%B#uG_emq^M`_tHPDSCqo%@n)qYLwe_|rI1MO1k=}CH(>x@dnIFvaop-hZngaws zDlnt4<@R34N09ns<72T^v#zx2@xk)V#DiQ;)u%G#%p>s0QaRQ{DBzdT?e@m0LPqWr z6On8r!b1T_S8&s|H&zmAslBde+qE5qtF`x(8c<~^YV!t98n^S{24C69T(58<<$U$d zs;K<@6Zl)hd0T+*E=&YNL|WGN{_jLrLX12l{4mp0pG!*|ti?8saAg&B$aB9Nw?|wV z<@$fZRhIvAAfL_3Y_WCQ%TS2{q#WzC65Pf3%%T3Cp;tql3=qJM4mu~@QAAdE3!l}H zV63i~Ul{YZbSj!hzPLg;IeWZ+ufyc$CNC!J=kUPXM%*{>8po(GRdi%|M~??DY$Q%Z z1)cKA{vKHgV*%#xD2HwZJy&KKy3x8Kly|kq!}o)*>{RdEL0XP8^=8gj<@H{s(QX}o zSq6B~`W0a%70F?iU!m*iy|e%ZOvG9XCN~doyW-Q2X1e86MmW{ZwiU>f2((e}NYnY; zHEcHcxhceRI{kCgxA-o%*hbm`6!64!)5k}#EUu;XBLxNoD;cl3c9N*no|I8*f9Mis zgLo~NzdM^u+58W9DxC-E*@Ni6`KfgcZm*>C##hYg-4n-+Qg+p*;4GIFpS=+k7cgHX zoT3#TVkk7dul7mAYSD{yae$6=+ukS1J_lNwRL59s1QiTs7>KAg%-yF({Ml4f>NvW< z*=h(UvR^@tTB<_JhgaF^q_XDAbxU|n=6+GbKFGa84H_wo!S9i$$7GQC^+l)KObeS= z1)IW8?=&uP#U*OWK-aO(3GovW^;aUuf!mk3?2&&monha zV&FOa60H&Yi>lwzP0Hq8Pm2cfTd)$_tl$9rSIUMb3fbOzIqL;)DR2vYRlq{RCm&*^ zD$S|BNA+it&HsHc;1yOUHx%}aCC05mCZ~W%Okq}$CMbTrnU3Q{X338zJoWf@n?KsO zj4m^|hj}QCZ~pMZIb>}OCAV5Kl#c&2SBv=}JbCwQ;(hcZnMr@B>DyNvm5qGmMsqlZKdBF;R+hL82BRucbn^djsmsDYj)i||PT3?Mt4yeg;403Px-z9rGtURC=v09qq6RUy$6ise4bp7ueQDd{GMCEGs5({E!1UskhfUV;S>{Fgl`W;3Z( zx;5HllmRC6{7Z()`DlveX>3>2O=bXjnrH(`d%faD>CnyYbiSmj_yal8--WOd&Joiy zKPaG$pA<}A%|{*ikwmjN+qu>}|7sK_t}ka!j5v~QaqJz0o60;EfLRXrWVC62gjgF9jZv%h&keJ6i! zr@2RSb=(;BiXV)6OEW$M5{_PR_E^OI5QQjzTFP5}_(?inlCIpl}Gotzd<4m%K7l2JUN;@Ah> zVf04XkW)Q&E%v zEly(}#}Zt=2ev8yRtsnP7%d@&F@z3U%4Q90sgMN*_D|vtn;6!k@dX+gu~A|;-Nt{w)v&TFw#^DL4lnemGaC1;-M_yb;BVXoG>VX{Kv1V>Mwna1 zgT)O<&x$;9sQiw%{U8;( zO){%#(&K;uN`07s4D-{a1XC6gwO(g}}z&+8pk;7F5O38Ow?j_mktI0ko-k z_R&?FV3}UFT8FT-qb#PlyrGeUiVj8sio!0`R8LNM8XT>7Qle5_j8u*+HnIRTER5;Z zdaooOzHB=nKp7KE57k(&*&(zh#3hDJv ze+to%kteMoT&^}9Nyy{&M3Q2hgmV+=VdA!D?q4OkJ>XyAT5eKHCfm8_w-!f}C!M2G zzq!8ed$f1F7z)TO2-^FwlcCGSyvFiGrrHfvTMH~E0GGh!&A(6A`!2-}6LZzOvX;Jg z^M7dxV=Z=l@P6mx1YIEGoP^{?!vqUk(iYaBN=F|F0@DPRD|bI3tVwXeF!!Ui^p|<; zj^n1kMd*6uveVx2Gfe^x0oU!W&y)(3x8^kF^SWnVXrapTXrm@(V4Ig}52NKaePvOb zSTUeCAN5R&Y39t}sKRjS1?QX*;I6~?^8pyoKTIz(VUh)1q+^MaN5=K>h5qJI zJsjy#0D61AZ--@Z>NzgxScp>9$gTm;OqV`{4FTS_j}V6rx{@E>?eoG7EnE#5FL#7X z6ZE21=*I0EydOs2^puL99fn~!L5)u$Cr8CCP<{Q%Its@oy%wPTN(Ht*0~uyxYtIm! zZ`pwvg)CH+Ml8A|I#auR%2DQ>m(*h0z!>J&7ELh1eQl_-i4($mhY8*{)-#)LzxZHV zxNW>H&H|?pgHwWa{1gEz+Zi8jt9@-voef+myLSAV1rtz|8tJlhh5)R4Tl@iTn!u*)L z;p><7k3#rxsfNL4YWEn#+@(P$^w;Z3>E6EHt62nJX8UPh?wLi&k)kZ=e>%yDCbxI3 z4a*vzW$Rvd7~$&j8#`;Sf6+AjA0VM|kfQ|;FMQCX zU_K&K?6f?QfLbN3x3#@*#IF7Ddiat{kTL7sV}U)pSg_&y;+5%z2Ei=>f5| zs{26}8V4bJ=E7~TC7O=wP!x5QmbZ0)h0(c?OfrUThu5V1tiqhh%4nK?7(`SZO|je- z8uW$#getTWR+y$eF=DdQXBAMSAt_)(JUUSRabv3b33GM2Qy97)XhL_7cyt(tl~`!p zJ^$#sFD)4@3PpcW3v+v&idNsC_AVIiLzb-Wt)vwOY4z*RVViS<(j-6mE{)?RD8Try z+OxB}p|t(hrYF~TC&e(z+FpV760LuweJV=GV6lh2wXIS=XexIbnCrDcNbm#Z{{WPu zy^Xwn86Im*9~R`z7x0Mv{-C=mS79!Vt%3xTwT!}m19^=z&#P!n<%saZsKFBc!abWn zqT`iKY5!}B7}N%?~41(MWg^i_g}xe?_hAE^hT)^F8N_o z-n7k}X#b)Sqm1qe=Y1(M_O@f+aappQd{s+@Hf2E}JRUh*z?a^NP|IC5bHoCjyMK?F6ai9x3KstOs*$|o{*QFv`8hz z!!bx>>}|EXw7+ro#lxaJ+Cq4jFkk6lDv$umSx`w!ULmb`{6JijpS;9PSkKx z{xVkFd=WaE7~$;Hzn+BXMOwSXRD{XLRjL z-{O?>qTj>B)A_x$Z4Qn;H=rIp7%>;S=Q&aBr!gZBeg{RORHdCo|9ESADXsb;@vz)f z#e-I(gt+p7K*p1m-~%jxW*XF{nCQ6JGRyV3xgAM#?e+)TW}XgRq!-tWuB4{jMgiQX zeBDR(v}ZkqTd>WIENTQWBxsbakjfF0Dqdkg?aHPozLJLB1;9_ra8HY-+6gWjCro+W zPCpL|cEj*pQ3&*QGqdW^IX_$7lEf1Xhnwv}aQf_LIte`j5{FnPLwDOrPK(Y_SQg1p zh}GYh_cIU}j5T;Mtn+B8Xa)L>=n7T$gy7}u-_W)jWN?<^gSry7g1=Y0q@*?u15_ff z7?#SYSz$qQnJQ|!Zgi$8$NAUS{Q_Z!j1ouC5$+61Fw~4SQq5<|4SIbbS>>r;VpZ2M z!f6~kv8YG={i%DjKu&jHSBr*&@pC7+{O4S#w|Xn>MWwmWtmVn+A9a6BmtlxE0b+|I1SN@Fe$15hXVgxsKyx0j3x2*_lRsb}1vq zXdR@tIbHs2AN|yV4sUs%N^oTRXFO28DT*~~zMV8RyAdmY6j5yWy#=Ut?CQ}FeQ5MR zWGrp8wv9Z9(q4Ntd7ttr;Quw6!gEDvK?&*kIw6!ax=z$7n9ex?8rV+GMD}^e1oD?_J+#N1ay~55sjk-*i+-oXSj9T0$ zYKv0!m&hNQ{N(WQL0Yl1hxmH%P881X6%iNP3L2+ax9nw~Zpe^3#AFTfv4_QJ_1d=$UOC^4Vg)sK50eDkY0HJ*M^ zVC0@C=0P**XZM=j$=vYsu<XgbSI9vxtWB*y{(u-kNYRv@2Pv<&Q_sYTo z25`Bm+0fufm$YpfvWwQ8`(cODyQp6tLm}B!d)wzQnZXmW)S8sI(7;=tg%#5Z%gv-7 z^V~u*XQJyH=D<62B<hc+0!Z8Ap6c|L-2$pyJiuLq4e?NqGVdW#dqi78*~}PO6F9Of!k8sUN6(( zz#edwt9)4Q);iTDRa+HcX&KTMpjde;qMcZzYB(<-g7u3^i1hJ~y&_Hqp^nMXzRe}Q zM8>Q4;3QE_Qzpu!_sZ4VVlJ@6seYEMGkX^rt<&VFTqswk99Mc=2HoKZ~e)Ivt5dtD`vk2xBt3Rdwc&nkI?_xDZ$3Bjf_w1|?sg}yKJ+~(=t z>ePaj&~W}|#LTX%>QlFz$+MVYK@74|jrH*KK-k3)$EDKtqjixi`7hD1iP8F7VuEe^ zpj0gO>UW%GH}}g_IQtTBPG%TdEH=k{6HzXs(nr(=v@?^jwtnKIhB-B7w`9uj zzCIdJ0RFmR)MqnQ1ThW`S24~{e^J9eUn(oBMpNZfFwp7U+7c$|pih|$K^l~6WP)K1I}fncmhY_%sj%Fw%&$2Ehjh=o0xK`kQ^= zT?uiNn;vq9J$Voqlk5Yx#7u&ak3+jfPr)m|bdnLvk%n+^%$N3vG4g%>;Ex1%$gPmD z2ZNCF?zsWL^X=(O#mgGKk5}rp(kZ%lje8=5T5vgy=eAV7QOCWA9YgMqH(rjStXva~ zqQpI;V>c8(T|Z4f`#a#LMI_@G)sz69v93Oovj4mL5=>CE%Glntzjfn7^WyzybroG_ z5|Ymgy(&{UcL#eFs;kzC<^M;~S;jT}wo!beyHgrQNOuSl(gK2_2##)~LqckRbPpIE z0@5hmB3+}qr4gj3z#Q;@e$T7D-)Fn;`#RS--_rsMezPq?W^oLUhq6G9ALZ|^KK+hJ zuQxSA)|mcSIjQ|xnz#>*esgdvi+B4UC{Y4@Oz3q;Q3I=d`RIBOfGk=~niL!+m=s=xNn> zPQs!qPwlq<^6`XEuPLO~vDO<)OEvd{Q&0A4ZF@sj=+nrkA5Rg9k$+yqIRO zs)?y|JKav`Tz8sNjio!_Tg6X4FafajO`0~tKr*42Bm)2Q_s9mjl&-zop?F$-e%k;enxr}L{OV*`UAb2>_{^06YK)*b zZi{o|+?gC9EPJ)ATRSr+OIF?}yf4cDfjeR~)?6&yPwE!*hQ6xo9<@0&FL zyIupL)K(!+1u8vO<#bJcWtwmQzKM+Q-W2vmph5}Ud|}F0UDV^WI9}a-vxJ9myPxpv zED^X&D4Euj3lM1UWPU(VSzAbP^OqT<)~$cN#eZLiPOoS762}E8f42FwPl1CfZOt0y z%@$0YmVEl|=S&@Sl0*s(m=3?m66X>}Hib*$Ojq-42#-wr&)*YIWu_ckF9mT`YKl0{ z)MAT20i}*mM=(Way`XOr)4^`#Y7xux=hJRHKAKb^$09#X`AH;#ms68BG~92AS)U;c z2rb2j4}Uffoj=xzP)O_da-FspFja77U9`yN?Tca#_g@7qs=<|b&Mph&XuF!j{Wqlm z5?WB{I1#EdElCACLYZnEhSQ)5X{Atc{mvstEE()8X&K2|kazLK05?(2wmlcwB3gp3 z7D=Jp$sEmf+rQekTt+XkW8Xwq0TO*j`3fhU6G>Ism2>6~3m*9)xJl4qSm6Zai*UBh zR2PN-hjDfx&_~wP-9&x;mmi$ugTGB=9OU@tjtFxiD|J?csbw;M{AfB9P0kUOqXGZ5 z=oeXS9Sp&3hdR4HyIx!rqwd0#W_&#}bNj=kW-B?IQ9n1u({M z)qL39?%NuDq!5Sr>auW!`D44T1}Y0cyLDFdC{XughW-e!tmUkX1$Y`u-SqcWci^u& zjv^oUT)uIe@TyiIA`6_-M(F*pRuYUBix2O4ZeD%RS)M!0VQ>2gx)yLx3?ZMlinU(y zalVc063dPGmakDlV?ByE&4&^zj3uqQ*70B9+W35WYzI0H-IkyG>OdbKG^_3pS0x## zmPHIPeG`WwG@khLJpSPa$y#m*sznij=HiDIsbWfWN?X&b?#q$3DD&-8x(zOXU3Xr< z)6t&u;p#03y;Zvwf|qAjxz2yJ4bZWg$QRdDc;oz=uutdnY8BDn{e8J4Ak0 z0vg|D8Mfv4FrTJsRrP&bgof>-Hsy8sC1r#%GwJy$;a06waoo+oJ6pdA8(-I&?hU&N zg+*UgA7Bl?=n!|kE;14DWx%dAA!yc=PZGSdDR5t}fWLiv0B12UbAg!(=Hk|VP6|w% z)nK33eZ}w`<@6!>R^JmG=kVe=}zLl19-%<5SgP@>$j9#i{ChGD*Y)qMw} zV4(;U2+wAwFnSnc@0_!QEN?zuTGYhYow)7~OL{b)klQKfd)ivhmB$I_0hyt&m&lUP zFPzoXDNK&|6Loj`mqPbeuyrTQ*lTf7M#5Ue4N9@xT-ZPB{sdjg{9A=7~D+}K|Sd@kQ@m!&cJpdTM)Sj%?7k_`R@h8hlcGm|)|D#@ z++iQGV>f@utZ-4Y66@7>{lQ`8nDm7g(d@#tY*2eB?r=WatDx$(f-T)bSCnYg_=VUA$=j^W>WVj*k`i@|8cE2aY)kb_|)jUyDo6ocE$D0&#E z$A$vBMi#7dpxGd8FlEP;nwhw=LRCUiZCD>nO<`pXX~b`~?VEDw_;MlM3oGfw{~usG z_7)?Ebu*sou$R$LKsQ{g>6HW)jDdNl_gq1aZwis?eflD0ee^)g2|9;~KDPn+9U(w2 zF<9TuR<-uI4%S~zr7nG)dq@KovhCxA{dqw>)a;Z^Uid9y3>~5lY}aciL&NTDn_NKt zPMUK+A@__RjO^&*hah$Ymj-B!Z&>c{9?3M$Z0Xup&|AdTiH9|b1f=kI`dKx?VR)p| zPex@5xEHn)2fn#QX{=qR67O>^cLybu2DVWRUvaoqh~FFm`|YptTNK{#Fu8J5FxwN(pBEiZk!9p9{*oTAx!&G-e5`qk~$- zwXz)kY%K8mEWj&e{7NxoLy4D*;47U>ys+^yqbR`9@X5-#(!l>GL4rm z+CgyUaR0lMLOVBTP=UPFZ*8C!Q)wVFvA+c?YGr5XVJ+O6it6UL{EShPezv(esiP8D zQUBw$4iBr#!LO`7Go<7Xc8X3wJL6j);D?1o`txq{u2c|f45#66Cvi;%H$Lr4b*Ef&K3cntUy{Ai^ z2>5*TZk(Q8nt=KsGk0Eh#{PLM=YUOWvWIxBn1d{A78aF8WipehGwcqzjg!?lY z+isnLw%kUNju!*i9!v(s@^X8G?xy~VqV33YfNY=0<8b6c&(s*0ySB6y?=X0xHJ^OM ziqxC7V=$?Vw7{dV`)5Y|h`E?D+uDzladN;fyOsA7&)tnPL8vU_^UJAiti&AZgpt?zu7P&7N;lm@w*oS6?f=c@>_P%YHVK-!knY9n3z`$79z|2We4nX4*Y z683P5aQr+uW1ne@KT&b9=GeWzdC6f2^FG#Rkx(Y145wt&8n9&(@}d~L!5xyQtHX4T z9ku{Rs*Gtl;`5l`msg^t;Stq>CE-OE#&it7XJLfL4qWShjS97*^y*Q_?l>$5UsD?wJQ`Q;d^XFj@5HI2yeh92~6&hga($ zyy1SIqwZ* z2yk0q2mCeN}}wqfa1QOYJAgfC|C0&VR&ZSY_$f-1}vHV2R(g+l%bnLAVx z7wpP5td3>4<;gU*Rmw@uV?_($b^gd><39#UUEV#%p2@i>MMUKjTS1j#R|{X;jh7a( zEctGDS=)+mh~k-(>-M2GRu4dxxzAsY4qF?ppSLjT5at?dN7p6XdH~w@mn)C_TPqg? zC`DpcGsc5c_@UwCLZ5<*xm!?6`+KPALqV_;GeN0cVzv>9IKOSRU)JBg|3EGNN}KON z)f}w0VM#mwsn8oWZ{XVM?Nz#}I!%I1ze?;qX+ z1#yAD3Rb4bd+w;6`GEpUq9=nNo-R(;Jjw7i`~!6FUAJNM)~UIKR$jY~8(nRySbQ%Z zq>Kf}ew0MQzB3NL19g7+h7cCU?P>8Sme+c7V0@mwen!vgQ$cG3c-&dq_JGjLpPRmA zrdQqd4WdZJa)lHKzJ6;Q+mpwLqpdg&7dvrDCvTTqvjNCOS{T0sEY$En(1pJHilO#Q z&8dRs4jb93vm$5G)tKh|4n}pVLB5b&T-ztp(^y?2d&+D(xjYProlO@ zJ9q1MpMPPaB(C4z_OgXNFu#8wns*nosn`s4OPE=qOA%|AEvxXYS;yYB~xkJ~*2_L8{N^5423Nt(-#i1x_+4S8M(Q zwVOQ+-Fb5u^2^j6*BBdx0x zAcqGu77VZDyJL<9>K$*?QL*xvRlBj0Z!JXWcQLE}IhfsEDbGqp63i*7y)W0{paZQ4 zSz?Hnj*IinHWJIm#z*Vb%dLCD)IpE?R3IG58B$F(9LwsR?wCwEG@c2U`*teW==yODxfI?vl_le<&5d*Sf-qxhyQ>HV> zffN-x9IQSVmqVX8lA|MM=ip$*CSUQbM$4Lq0q;)&{}wKeq-UsL)tEge1>oQj+)gxJ0K6 zO8*#1f_fFaH2tpC;}%uZlNKdgJh<90>-m)L1_< zMJ_vDWV}Jm-GehfN)70TOFd@QEwsGfGNk;eOxDugq5aj5yb;}7ijXDge%B<_j8GE4 zVX9f%Ya|9TQMChsS=KNiWX1YBbRq#pN0XBi9oq3-9Qw>vH*B3?goQDTot2ERh*Zad z`naX8N#&KC13xmj9Gwea4jtZlykf=t%&W-vWDLCM#6~G{YG2pb+#V+szDcKJDzE|l zb{8zzp!Zlb`n;3%_aq;7ee$kM%!w3%(bSs`ipbc5)}+Nv98wb2S8HYykO!BBY(;%x z7PG=oWa2UnxYY(@;D4x@ebT*FwKmF}gfd%wFMc$w<1rUp72vKoImbCHwx>c(x}gE; zhxzy_wTKK5?9S!rQyzP4#3S1oC+?=rf0~is-o#BDtg&>cCs4}hyODw%doj=;RUVP1 z_cvF#Nq_|Bh^*3q%&C=3%~=?TgW1|A8Qhi7~s*Das_^!_~~;T7yBax{c?^r=>yuMjTGd^mFY0po z4|p#^P4)&adv+)xJv+P2H#` z^UqQpU+m$61@;}}^rae#hAYH4m{uWa>ZZ8!Ckp?~>Mg+gPI;|bd7m=TfImz$u-gWd z+QC;h5KFdEc&+!_>i8j#cHB3H+Hm*K6m&Z<_GH(kvzY?>jGeXu0Za@W8!~rad_mc! z(?Jga7YIibKuVv$OPA#EtrrtGGTJoiJoyezkuA4ea8TGMQDBGueB1W^CmGo^!B0LE&+Mih)XwWPa+wfi*%BzkAH1=9 z8dgydi|(u8Y=F8;=x{~>L6)7nAq{y~O$boZ zK%PE`1DF-p+&>T?WEH3F)mo!IG^4jebe)8HhBKLP9ZqV~lo|fjA_~|u%H*7|gW6xF_#ftg zN@(KiOVp^=qBHtfjsDtC9wdKUjnM4t^LXDF=+;=g#IWkCGRndCWQpnpHl+C+#eH97m{;?;`{ z^i+juP!Eln1T_V%Yl8e<;vV$VTaC3x!wR;Q4(=Hs`RwjDy__&e_)qx^0trpZ`*qFt z$kuaL^29ZL{P&mhyRah4H6(8)Nn0zMOvHF4LjO_@2?FZmFrLkl8 zK)OP#On6YD3CWci*s9`S;?|0OD{vF;gWLj79~Q$j9W^L90!-q*PtM1tCLn+`>KS$v zH~xn^)Pl0e27Lil{g>8!2+Ab*cm9g~DtAvz{+Dip9?Mox{SNGLFLSt)T0mo(8@E?C zv_=+l*-xIe>BoW<@iU1ICM1~_fxD(ElF!h>YV#akTF+z}3rX5VvYPB3Dn0%yi>u6f zQG3nPkL2%bkbs#}Om=_7x(q7nOstX#nn(f53W61IDmJI(bR1Ys#iEXxvRWQZ zGy<`~9cc3(O|r(D1AZpYgobl`fzX%8CNsN`GMn+8(0%^7f@YN}eWLs69|8F_izcU8 zV!x(%1LxMc+MUiWAGC#bn4A5EUj>6uIu|wH>OA;HB&?g&{Jo#(>aC_q*WA0Y;3xg> zP#MC4ki?s1rqfr(yJAv_r6V`eM(=la(3GVy&#O$76@LKyi%&r!7taPZOic&fceq?_ zDu;JWT!q|D&bK;I4lQ%sNec&YldC(EXxDEBr%)Choz9j_+v|p6P*CKh_ii55`*#^p z8Lq6q^Ix4$gzFfe_&_oAji@s>7dPBobEgA)w2Qg1a&}u}R$>(x-MI?{D`g0R=7Ix5 z<>p^I-S{Om98(dTJWNp|_pl0d=`D^(-6NWU2900}!q+<0olza#)a%p`2bq@xk6!ZL zh0;fVq!RiMw4dEWJp6(W>u*LCl51^Pa;dJ=onKJ;1fC7#98Cl(`aM#Wl2)Sj&#Lnb z@B_B1Js`Z36HT4nJ^|BqivNMmgm&S`{RfesEZ=*#rtz&L^lA5sSGA0^x7*%i2$i<3 zxZH?k*O1P-f2T{Wsh5o3yZ?ey-x&O-h+JX5c)4M%gwV3RrIm^yCTh$vXZTcr#7ps! zfY-WEQHmLBZ+#qSJLf+=%vL5k<-8&*Vv*4ov*p9t<{-#vm z>G~@PjYppDxW~1V!*-6k@qAG4Lost43%NefAMpM3!@y(OpLbNhw?DNydpbjutO^_p z@H^V=I)5y|5BS`;@OYh)?{pOubpAW$K1v<)+Zq|lQd@JX-D70pa>N z%NJAU0xYHEmA%(of?%3Rrb&Bi7N{5YfJ<%=pfRzkxJ&G<0*PAkjUqgI6Be`HK4loDO>+9# z`x!pzg1gwutJtFTRTFH`bReL<7mrA@MH-Ls&BN8mH&*$Cy`;_V0ZL`^<*%JK4Dxpu z@_(kvLe9s@%XvNI3H|AQ8@d@n^QI8t2;(;XopgXJT?@QlT^_oBzr7 zMG5}?gK%eH>MV@5G}}5|R9$!<>I)`&GNv*_<0sd1jpGXPV3N+zXj_eZ>vejS{V{SY zVDBUO0GTvQZXB-7XI;dq!h66qudD@O4Nh*wRi@NZ(|)O{HM*}wd!w|7mUEcbihUpHgKO`JlQ3iVntd^-IC z{hNIJ7n%m(SDa&TZJMDQj9fhQ8U2a1Zl(cvvs#%o9~hriZV7n@MV6y?^bT^bG5O|G zz3&Rz%T;kV`bVyAeYgLv>1ZUM>fXG4^`5S7QVEo24k1eYBF2PVGTw6c)P`BKh&aeJ0%AL`HNvccKa{bIunXTJg_C8;M@DjRhcNWtjoU2$U9QDs( zO)pOCb#p3#WT#`wWIXOw*Ef62pLxE4Nurb@wn2-b^Qe!7um>Lh%-%->GSdHsqnmSo z^O_I_I&wgP7`fB9)feClQjm|TEY_HuV>b%cT&%Ze z-$pGr+P#)D8xBjLwIs!z?m@`Fcg5Q3qGoC5uO_a4{Pl)@*^1eOJZ0J0q_5=40e!1n z%T+EGsQl{o5?gI{pX1xaT1F{ORz-b)$ zt_mA1?$kY&sY$--&1mJ$w&tdy3ShvXBy-X?#~3 zhHM`A@<^Oo+4Y{rjO6E^$b@(k8U}3bbkiz;Y0JJoOapcj`jWq=*6J*kd((2T^{%ER zZSh-77U5O=$c8Fb{C)O!6t}#JFx_2dc zVMvfghjy;_eVNJZv^oj>ghc7fhBfo*38fJ#$ydjW>!$$SoErh-TOHzwKNWe@<&l{% zlC}WKW7zMyWdN#vy3i3YiI{yZToOft_F&(Lx6Ec_>kR!Fc1H@A z&H>H1DvW&FLmo1+w`7#69>#M424Ie6XE9-(R4&;guHvh4ESM2OD&gJHdHtDX%Xf_P zDF3K~kKW|A!V#-&dt&AR6%=0TMX>9LUAtj>WhB4rV#JLIv|&Bx=NletIL4R0yw7Cg z^J9B|{G|e0{Bdn*H{1!w^NAk!2{EK<$f-tYcW0G@X@3S&<@OtBm;wQ_b&k#=dg^4oL$x-?_3n2%1y* z;n|wV>!9Dr`;*F-D4)5m?`9BW+L&`CA7k$1#wiVIOKa4~@ zUiag(B;5brnT1YinqC`a>Cv_;kPpyKyLU_(Fima>1wjJx>tTFYkdF2Mp|!E)L;+4N z;n|VG;B;oUHxHcHxM!L)V5dJftI}P%Lq{EiKT zdy^JP{d&k>mhunH5$=WG73Y|(P1FiSbkBAH)-;o*hke|^ykz;w6~W0tSAA-J=zI*7 z|3ZG@Ef#rU#RkCAd=u%`r-qoBOn}&C)V|bDCI9#9E16b~R+PfZDXQ@{8}Mw%qr1m1 zOOmD3!gM{>^&vZNbU542 zJt1a-G8RYQL?3cZ`0kCk{qET$reh1tt^)Le+SubBd1C_JHleFiJ2;|Rly{5?8{?Xy#Rr{;_ z;Lk=LAD;I~>Z6@G-&an%w>_@)DL?*vG!fV%UG(ueT61{2(07I5Mm{QbcU--1ofWRJ zyem)`*h7zs98g&Q2YQQgU>5m?2csVIb0SZrqZ1qne=GwHUE&61clxmD+D>D0OT^?X zN`^1egi7sl>pTX8f=TH@-G}dd;9@CKf{6EG;BudI9h~2ZYdOj$984iW_1NxQYyrwF zlzAz~HWBYhQ{{22%g_4xT1`;Ze>mdTO!%b|d0ls_b(F!H?yqPZioBJ@Or-Um6P}!jwr8q(_mf#IV^K zcS$N>&`6^4@y{`<^3(cNrGn00(9jXy!m-;q{cIt=>lBa2AcKy-Dd|bcKL*ltNn19D zpzP@^0yu4wZ0(KKB;q)=bYia;0Bji~GKY#8$*qkNk67Zv4|W3H>@^#;#=VIiZ_6g} z_>&TF#A-Nm(ck?s64ceQmw_|v$#fvQxjMsRlps=|n~>0dilx$2iF7;7s|9@|kLtqT z(Wlque#k6qDJfTR&s{z#Mtrcvh#22xcsLBps|Y2VJ7S+FM*>AZcU%{kmopzoJ(h2i zf(EA(dPT>ZnFe>-^Bu3KXL7Sr-~&}lVcr1)It`!fHK=FQ~&bqrM{p8D)WTfl$JyPQ6gxK<+LpXYgSHd$f{A*Z>N~G|VJ7{|6!lUS_wS2jN@7%ZZ-xDEd}vl~gv|%L;i9wAY$My2&QD&= z+P|pFq6wWm>IDSP-yL4ZvX#E)3u2He7~a!aUiDf)=$8%%&B2eWOeaCx^R5O zCzFEbGetYk@wnOQ8H)PkRX~_Rxg;1+k2C2}E9C6&Ha4Lh8}brNz7#@DZ;1d&#=1Av zjKuejZWHTloe1XTmonn3BgkZ%W?hoD*YC|T*s?Jrw%SmsBy1yGdLfaVjx`zWIs&{__+z07Fvh1U%;bIZ3(yfpAuC-#T#(+p+8? zMSFBOrt3Ts^mJ~8i{<6P~i~uMvuL&!{66G)h>5J$lO?cOIKzoFJRj9gZi}k zUz0S;3t5Q!T}-W8#!usIYOjdV~w)Cg+1dSw|A zo=88=Z1?<%!9ftbQ?_V)svG{sxFq^LtowE9K;dyV0?Z|Ne#gF@Y`G$@ERJLKWrcO$ zH-7v>3awqJhT%-o6YA9S380GNvJb02!#=p?^ePLWA{rOvg;VF>XWqg_`9UKoyc4X~ zLFecOP87bPTZmQbeN9S8`#X@8-TiS`{_JD_Xi*rj)@;JG03UrXuziRER>2Usd=oMG zs>~=m$%%pW)}NSyaEW=_t-ps@Fow0~RUMt8h_~#IA=;wo^rX-CuM?70le4g%nWfMg zR8owKf)Ah_|3;HH!_Kt-?pA|dYwKzR6dTkj{NQlk#5uibXT9YrG{6P%rS^3&qz5F} zIFS_c%=C)Z_tmjhdB_9r6}#5wG3@+^OU8j$BhL`-+Jv&Ce|dj>oW{ClI^9ayqU<(E zs_OTu=GcEh;6g#hz)S*ckQW~ClXjT-e8XN)QBu>|tP8GT)&FIR4vHF~0S#W=Izd)P z(=AKgUSp(XM7JV0hIZF2Z7-Ec1x;-Z9v2Gf`cXEe3V*D7<(urgI}h}#PyQ-h2FLEA zxy4D&k{g*X=SW;u@G;r0j#prs70@3BIE_-A>k3fm$TK&YnueG{-^m)#UV+6A)X)2uCL?AK1uog>51`z0{C1@|lEy zkLMKoH5aHr+{+h6%DBGG`Ix0fbKG%x=ny|eElZB&YTa+htB4dvk77d_AE-9-IuKL3 zg}gDmLhQoi{_SOeLT+D}+$dWjD)E=LC=?&7 z;fF&^+wSi_$Hv&7XI;Av9A|kudB$UQfp%?V3_z>V2(i?|y2D98jtj>h~XrD6PNs z(h2ZNpHUmn{0$7$r}|X}iTrw2^JQ*+paD8uiAZu1G;v7u-9Iz&%oJ$D{xj%9%tn6) zng7F7Su4EP(b9&hDYtln*P3yM3=GazYKNcS7+$qw?T>SF zIh0?0OX_1h!@ba?T{3sh*=^^5;J9XMG#g})-<&l|JRGXLPrb_9AORS^5#4yVQApz^ z4DH`NPvLSq8?vJeU#*6x>%N?P>B;;D2il)Cm5CdXRItHmS^TZ&J39UAx1l8d@SnSd z(I;syW&g+O>=7?25V3Ztg>M8W7cgXl#z zk`Lz^-F|`xw!}>sS6>)dqxSV>XV+wt-Mhe72=?ED@qtIbZ^t7uPbssy+PPj2B(vT7 z7!VfT7k(dRH^4Po{pu~sRJx8?Rt@`2cbc2I?)iI866{Nmd&s0vYQKKSv`1}orv97q zuSMqHBC^#1ouFSZR|~$VqyPmJ_xR&IfsqEZ+FEY%pOn3-6LdcvEsT~h-bA6d< z_aoD*R%C?yJZRrmAkr1!!=K^8gsMrWS523Lt2{}N5|W}lHgS5LD_&zkm)F@15~=l9 zA%;!ZVpvm*P6-W~0$MXF0$FF2r#IS%6I7t%9cM=y>64;Z7J5quLS?ev!l^DXXes5O z!h2yPlY4VolgfT#!>Le@L4Z|)_Z3Xnrlq~Y_2lyD&F%AcusAQwdaNG0D{HV^Yn=Qo+B zTE5~Hxix$QKveln57!k5Xd!Of#F}mn4*3u}5}3`Ubam-18$+i`e%BH<4AfjDzP5)E z8rdOuav+rTF@kY-^%|=^>Z8`RS9Qc0ZnAQcU>cqF`OmK@M>44xZBn0!2V*`7%1HpK zTidGb1KV>@J+rc$ZHzu-gpyrA@Q6!vTeqaG2 z-NEMK)HqX$g8QSf2kZS5W;f;vE^cM{=-Jsx+BYp`PfxeQ4~)7pCn%McZ`3ZBE85z> zn=*AqZn)Z$nHEiM;T^4p=1mU>?YfNm_c0z&$_p9>e_c48_4YM0tXL+%&buihH@!HF zu6^0nYi~XGttbjA`z2_I(5L-BkQQ*o7p>h_t*W)f2OS;s{00z6Z!JkhsP81r6bV0c z3J6L4iTPR*_sc156q`qBcXLs@IG`^e6t$5I&`1=F3@9Di;l^$_C=*SfOByQJD7j__ z-+K{zxTfiVS%JW4pkEoHK?Zo5`78@v7hQ>-GOI;ep8_zdpXKeHxH_(Wy0~7A=o9%1 z4XuL8X-}p+*#kY@8g!g-EA!B)4QpPmCHWyn-_8A$YwVe+B2twf#eZOyu5^B%rt2oe zC`|YYUiL-!oKwIme?V~v^Sn%JwHLPPi1lr)6w0T7yhfa8(pE1|7As%Zt)H2w9ff%F zC|XTz>^Vq+(>`zxWj6c=sup1uVivi2xSmIgbN`9Hx0zryG2&{^OsNrljUCt38Sw70 zg;-aiz2B7$k4#JEIr@vnbVR!Xx%nTENDiya>m=7{MkB{P@_k98wYNU+U(7=Jiy}w2 zXaQ_3iMn8|M5RBs;`yJmZQuakLd&|2@DoEOq2andl9>0iAQC zIO$A8!$re=iCie}xa{!6B;FG$@iFitB+WF$Q8#zKmw}DLOW03TWoU;csxMrbkwYCM z$gejZHwTH53fSxD$u=B$_&3$W$FNs#{xqNnCu6@Yn==x(Y-7ff`|gWd6G+NKCm%l2A|dP0b52wsDX0 zV34Bh7i#$^#F!eU6;Erw<^Dg=T_Cz4Z%8_{xs`cW7OYHLd(f)2+_jx=Z4@VC_Idkf ztQKzFk6+W9fDIq;;P?6+p;JGi*SfQC!XZ?!?{;UmeqC4}0A4D2~Sh}GeYY?=SU40ARfjDtD zsH@phs&R<4UX1NQ`EG&YS#)vKD%{ zx{Z5H{Km(}DbN+o>S1?JSGv#T6GETdaq3IXVh2G!q0~xF0>q)DzdEAA7jt6fYQEI9 zcPR#UHwqe&UgvXOT?)OyGIx?L{B>pK*!F)QUk`PVmzVA&4msZF2u3E2`NwzontPt#5ZYZ(ClVuO z(d;I>Y-|mq*Q<+l^9{f(LbMMPvlzEpRa?}>&QRP1-hIL{5+0xHd||%Qi_-%r-3e^5 z#w1EQwg6Fj=w&11u9m5$i{%T0;%uTaP!N2z&L|w$w;2>QJJFY0!P(*|mY*zC`F!M< zrW*x?r@$T2K{C)f> zPBf7!&k{zI-ND&qlJPax{SNW%Y4`XNkE$~rZML-fUdzJOzl5{hh|yg*&`b4Bui!Vz z_8arkE3-A|pgRuTtg7#I<9)e)>VCUNUCrr3eJr}e_R0|(vv(`AO?(cJd3qJQ@s0|7 z=3e|Gi}q-tf4&-|Zul(GCeC=82{!4@^3vpWJr3x_P7zy*MKeLl@ss}AzJTKW-K1@W zLY}jOMM9yiwx+je*Mlx-wfKSQyShg2sq{5vrQC1vUiT#ft0(POJwK?_nOIQ6l%ax} z3Z8eD2l^YZEkFYl77wu`XU#|uLo%(ZL?;&6A>oghtu0y*^tr)gfYaAq4tOwu(+U(VN!FxwWyfr;CdHFNspAmVG%v$i99=!l46xlx=C^4={l zYHCGW)fUkmmhOogm4DZNkAdE7PX1E|yX69{AW2kASO1JEWvk~g4VC^wIB16Fq@75b zP%H0-^hWCirqgrEWg6Q6)NLiGw4~TyC=&2XT$w4iPCmKJI}VhQy0GzP{Igk_M;yB+ z{aL!`vmWVrqap9+^t^pvSSZl`i??*(qn6mWJHD(v3Gn-DDg1wVY3f?T9;w6%En7>A zh5Yf@AO5=T{d@R9egTF>KP3##03?KW5q!|rjonMeI}K0~t|eos!9FcHqMm${w7c=S zM3XO);;GUa$Xh(Q$yyq&kxVTASU$NZ8Jl+v`|{8Ohf-wIim)%CeTwX<1|d#ha?zxY z0d8`prGECtsIUDl<=_pM0tK;6q(XsMUSttoIJ0D6vb-nHRQegFNOtS&SdMjN&j34% zkWPx#DgO&)-?KCtCt(@+JTM=Fd=ix9GEA8i`COqna|)lbzu7Z3^suxI+kHOa-h&Uc z!N>mm4PmG(zFzq;nEBo#l+_Vym+|yV)O~$LM((GOR>xiwi2@?ADcK?MB8p+bdbig(uZ?5+rH2_a<%eF#;a3c|_w2x= zB%w&3g4Muc>vnC?(qVyz!&62SPn3d{SVUJ@*k zjcRD^jM^IKLM&r-Tf4VEvoUmu2t2c@m$Pck0X@75-D-k6nv2~wZ?nbxLey58IsPk4 zt@_d#kV&5tJh7J(g~;?>yqVx#ZTge*uyOEVgEsw%bG`AVcn@2;QsaN1!PpS8Ak|rJ zQr~XYHpf3^A+*gxIPV0b)Vrg!N}UM->3xtdVT8_ee?*2f3Fw9OxYgW2#$y-xSNE7h z+MWnrynBy0c>0{c^)G?2Fst*oMkHxs)5kb8V!9^LYYg~f8Siyufc~L&4l=hxSFyLQ zTep+x`yHX?v(3&tk+rjY+etK62)!pSzgxG-upM#kydvvAu&vxsW*Z1SwYd;5yT!e9 z0Ja9?&Gk?E%Qlcw3BNx`s3^uV5!6B`(tg z?<+^%$_#V{OAFfUXc1-JTJntIiu^V2BW@w`ZTWdG7sg$$y)3?fuOUuagGYeV0b`Gh~xE- zk>0pd_l%^IXqWiME(k3_mc$iYaux`=5UjQ z#i_K(rzru>=Veb3p_LHpRNCbI=H0-i{y9-VCw`WO1(NA|p!h{;LqN9g-YE=#Xv1;0U%Th>fFV;zjr$Qm=9xiuYA0!|%IlB#(~ z>@r}GN*WL{SlT&0yLfQF%TQH-T>7!%+@renFNg)(6an6G#_(`OtJE79SKJ46JHMRc zz~LMjVsCcGu6c~kWRYg-qk43n@U;KNkRui~(MXR_Yf4)DE$%|sk1hwqp^v;-BVlu_ zmoDi3i-tA;4*ViM()exwmAxB93|(2&(icCv9upSkT$b~7&VEyy>4|H~Ov|lIP-EFf zWmYJBEJr*3`=hDOqw%2lwwGq#7!+RSPnRvqhgc2sgHs_Q;Dj@bc$c0Nmb#Nv|MT*D zmjQlY(=e6Y&wxT;vx(w3OtfcCTy1=XGifby)-p%Qe?o~1B{5H0qx()s8xI*@qChH= z)R6iOZJM-=@t;mkRML6eU*~hhHObDODvVP4S=11>Pg60bi{k2FsNfUats`|+6Ig|t z(ENU{T;k+x$oda)bOM?grXdZp>wQ0y<)(mGAxT2DYqu;{i`N`z3N*!<%&2%r*&7f* z1VB&!91#apyXIQ_3~JB>r4|bu#<$UoW=4#o)hg3BdaPeCU~MEOEWK3FO@5@}F7##S zmS}{lSzoLbOI(;vDL*rcaMXb87_>U=v*_HJ4T-fMQ?X9`A4g~5*Yx}K;SG=uK~fq< zcSxtwNC=9gbP1ztQX{2d14b#W;8#Fmba#V*Q+9Xx-UzUv)+sl;t=y_`+4QSq(eA|8R~lsm0#oi{i*fB zi_3}wG|=qB%;VuLb>;0{ulsr&W`DP%Ww==+5A-v~Z*BZxFbIzoth|C5L6iy|Y11xc zEqGhzXOhPjnh>?9es5A|n;ATsF-Cm$muJqG6;9{YhYTdGVR=qkZl4T_4$+;h+o7XH ze+Z0^y(HS%#fdlgHYhBh+ z4D>O4RnzSZ^fuM6nf`^PzOMqOl*mu@U~lH)kLynY6~D6(8ct9ET-ws*kO;U`TLR31 zd?IJ^yPZ=)Zh-PXz|BuKJ11?NwjvB~`2)DJCCTjv_Z7 zNMv8hBM(i=#VK*i1jfl0_nd|w%J@mCk$4`RV4ji@n@gLG=46xwB<{TEkT|N6TE#_F zdN48^4NVoBxE(c*<#X zWO-5SO8cpndNJ|q5kmLffTgFU0?wK5rWaNddLL3o?rd&`{wgL~d3N)~Qh+B-CQUPh zH}w+|#-nKd<@v~X2Uu7(Y(osU)~wF9M8}&giq8=c@&S^_{3``3ZxR`&%Y^+w5AcK0 z`f8YlP;Wx7bEy{vuA*4~I4GuN0eKoe&i0w?y&aE3NXAtw6F5cI?A?^_{rHZ*wji_0 zrnBW%T^jQM1mjKdf-U*ET;yb_%53_PFp>hSt3I28GLUs5RZbX;TwiRAQ|!giDCLm+ zwKZ7I{u~OD1V=G}V>6f-Mq!B)G52rm{6{wUu4KK~-pkn$C@L+}a*znwacK(=GT(=4 z@M2qv2`=l6DQsK*t$~X6y>Rh5)In;T>*^Q9 zunG{aM%sz-lV-l31SPV5|2UyVmJMx7W*1L|J)CK~Mn#S3Nb1!ZQ(2w9?>TuKvY}UC zJR@EE_f^~k*Zn=Vke_03;*v(2mb#WkI_Th{#UzMtVuJ?|UQrsRc$(gu7p7db|Mcp` z8R>JxJ48jKJ!bUNT6hM}dFC!1U2UBqK%P|U6t;<_c9aQk}us}QRT z&*?Pu_NCWJ$(fM4Gc|I?+sx*v8@B8MF@b^vdAPcbXlB87jMLTlgDZ)C5MK1!5_NEI zdjmA2!>wM*w>ees~9bRYbM_sB3qHUq}{w9qy)4i1zGlyn&Je{zML` z(*Gv=>KZR(g=}k4XT?G7h3T7T_12%Qk1SOEbWS**By%JiB`rn(PV;J9JJZ~GxttNq zrY;vJS=kLO7F<*`k>i6a3QAx4vjUYF=>bVAqo0}+1d`nO%y7Ga&eoa=$%_)uPfY`K zGwE`qW5a?G#uPUcqS}(+fkc+8p#M&d7!Xc3>_zy*s7DdkUFO|;W#pVhaeyUcnjF~V z@MYF;a^w>W6RoaEWmtH8xV>Z@C!e~98&bDS_yZfaaaTU+Fy9}wNr3Ow$*xr2(T!8ccG@c# zuTyBz=7*Fc|64(y;aa79z(l(wYssh7(pO2m=A0qUFw>I>>U)>$cXjwG?QZz4x=B29 z3-)p!H&sk6`h%tY1n(+>C)>#hDUV=1dnx&VU#bKvnvkmfpgIj6uMP$AND(e8(8cPh%l=L+d^z+U9u+m$n7E+npkoMiq1 zE`8f^G994qh$ba8{ka1;4UUUYzxOt7 z-A&o~W&FVEJ*Sz#Gu+}D5R%OM&dC$xYJjbInAAb<~no8X_gTrs_; z;7I>TVpE2EifoCeo$Thj%^g*Kg72CFDa12Au_Z1($C-AS6V(_)Q*a?8>jIa5i> z{R5coa_vUWJ@rpXKLJkT$bLF&SznoS<>1uk1AE^Mu5@o9m)lV4wU151PewewNb&Yu zujUAL6?KY(ltE`tAV5X> zf-7|mI;A%d>!tE~mD3kaeA7aN+bX5EkZl|57|}YQy~ol;b~0!RO%vcLPem9LYb3V^ z$>?e4GO5nf|61#rK0o;orS^#4&q=Z!`wU&>qBDRFf9khOW$k#O2<2gfRnK%sviP2m zfTE?(FW;XJ3}8oW3%tx@cT*mk;~9xjye%}%Aqq1)r`bQ-^G3k6`#)}o63H{(`~WIf zkp(N15$}AML~86GidnU_)jngo?78a2gGvW1q|x|Q?o*dVHnH^l_kNF;L!(&ij0W&# zCq4W3C?E8Bbqly-Odzy1pC7j&3`KKfB(EEd3~cce5${Fw-Mj* zBEzfZMbAt+vEZ@e951 z`$?MnYf+j2#F%qiddNo>qI1`qCwmB|SK2pk?e2fmK~-O<+S#tem|k~LhxFl;FaH2u zrwb+imm$t>Wkuna>1Eo|m4nq~%sb7%kB|0N2n_&{YDJV0V#?VQG76=dk&acE(UOPB zi4h}DS_u1WCgJ(k2=~Z3^FsIAzlG#`&_shMVBp2zpt!9GN@LIqn>n(f79( znR_gIxVdnJQQ?%%iYbT6bAWmv-IrFJa5m8?UwoX4i#>aJ@ogcc_%nd>VNg>O8e5)v z+bfp;U5eUWnD-~}HHRK5-Tp)2FW|J{*27_vz-BlVN7Xa?e}LfWFu*%sTwo~5=Otdf z*9NVCw6V2$JY8S+lXd>9_!ut}3TI?;MjHI(-TwE;^bKOz-q=+jxg%!R#mnE4$%W#zX9a zn)ASnO4DG~<%%>hfsK1hvFvs-_vO0euCgG0yjg1l#Y{|z&J`6e*)$Kjr6pz@S}MMZ zRVr$K@5ZZrZA{#Cf;bID7|DJMNs4M9E1BN64Ypbz^ zt$Fyiyr_M=e8zL1$vqMR4zC?0id7#2z#9ZzTbinz7Xq^_?>tawn_qq3rM)Mvv^2Kz zK`O|E@DR`q@d%|rNyAnry+Kz^pT)3LjrXTr~CMdO*nuANV(}a-jpxm(?F3!hN$oGQOWHf-c0RMy8WmY{O`}**P{L`}`=IMcvnWD@2%y@EIfCZb3l(jUxX3wV93Ms)z-8AY>CP(U& zTKnzsv6E-?f4E8Dl*Ll+uC)Pqgoll#PQiT9bTWZpe5;4|FOTw@!yQMggBeuxAPCf8 z3u(~nd*tXhd%V1>?cXMkN!lBy&q?W)tb*!jbNkQ&I|#&lG-h6nqZtvv zX7b)tVUS#nEH@AL1bZzlaZRn`#hb)33K}8NnZoqJkoY>fQdZ9q=kjTOhbP|5w#-8@ z8T5Qh#y0?|BYu3s74$5|WT8Q4S$xVqX-U{r1NEXj^+T-i2LBo|vu6#81R6J7zXr5F z=_zC!hTRmYoQm#HW!w(BH)BSPbN9HQOwvsV#p1Nhf&cCuGGw;*BU#@U+}GgWUHf(0 zcB;{;tc;7ych(g+JpDYs-Q>^uU-K$GOwPS)7WZJRzul|Hp)l=nbOF)KFDn(T_OH1yc_mlNq z;_tmPbx;%V4thMD;%+*{Ccvegt&tCJozJl>s{4rEY!xLrB zdccDe^zw?(TxEU`L@v6yY&!Jv)W;1EMI7DpRZb?@LyCA_-TcSh(sPz6mJeYSMQVO# zP$`x%Glp0t+~e=L&f$4;W(q@_+Kl6uogiPR6tecges}m~xxtwN%3+g^lj}O{7C#&R zD$mwtm4%HFh*#C~DPyfmk}tFB?ArE!+YAr7V;%XLa2}s#7Rni|hi%hTD@4nngsM#N z&ANqsn?d&=R9UW=P$CVi zrZUhu3H6piXt2c**KOm2hHycJ6Z$)5xSz&rxRt@|A@;st|AOi?Ss|}Cx;9I1I#_=I zb#&?!%CeHAky+MCwN?`jiLLr2G~JXNeY>K^Yq+!QiZb1%1o_6F%!#l4I8N zu}Ul9ccMQ0c&kD6VC!5kok2$ak-oIP*sJiGLN6|L8~a_X;NB|*bgx5SoFy&F{6Tm7w~6dD|;h1Sxl z)P45gN+wb4z4V^|bXyv$;j+t*a;hrfL`RXqz6zLP6~T2%We=OcnbBpYei6}%`+~xU z%f&*Pw$>YpuNi-xJL4L&k3X#F*&f#Ehd=rJ<*NeYQKNJ8A+z>teESz_?1e?NDylYz zi`Bv0#3yz#`!#H*;cXs}BQN{V%C2>i!ev-TZU50#oZ$>70YB0B%53n#`n7H#QgT*IP<(cbp zE?X-G%J1GLGMgjnoF?R6?W)GBqfTR`F#PbsM^nMJ+m2b zDO}R~8BCh9w(CvoXsn%c;e~&E(SwG{z=3?rlO3~0LS@Qz&FAFsMCOtBjS+p;3C?tk z2dqW#e1P&L-Uphh8J$I%F$Z_y41L!|q-E`eAZx0^kJUla(?Ip#oM4xTVN zi$`EI3xyKM8R%hF*w$R2g9%@5YSVM76RU)dDKn_VZ=rTmkY8dA+pJs-i?#Npj!|ys zYbUtagwoHV9C@E*%RnJTG?F%*ScM9ZME^yAicaZPX`d)r*=)DdmYx=Dat zf0IcteSm&0f-LyZA@fe(QbjvkT6v(je&>5WAbv04Y{h!SsinnRsl!isTrfHauTOfD z{#qU6+`@!=OzwBcKOP62aecL(WJ-6g5uZ?42VS`BEG&iff5+jduZWIRPlt>WB9X3r zHl*v!{-WQ`@b%YwglUFJZNp2CHC}G8=lBwxoD=}PIq%SgrozSSt72H^;4dNGefO+0 zE;^qTyyF7?9CPUBS+Jc4b~<(~(A}^ODB4)b%t>ZDd1l~}))&ui%sl{ZD`ze9#yUTr zR3ra$O#HPJG5QX?+j?W4&JY~+1LvPBCMiDP--kJFxo=>AV}D*M@TGcr&WvSGfjBwQ6xgHnEcBuf4&-18M#cA zZJ4y`h6RMstAlX#=QJTyYK5jw5g(&PsbZUd^k|4YM&Lu}om5dSkQ?TxHDQvNqW9nP zO76666=z}pIQQ;YC&a!KPN$nCgp3bFJRcaAh_kic(o#Mz>z3n!@`Vhoe#XEidb72x z_=*$!bd~ECQ2=8C2eXXfHeIDkqO8=c?Czh)E?Z6_SGoHXz^%Im_CF7>ZMIlGeufrST3J zZnDnGEctZIB8R8Yem5$u9Ki?(=94?tasvRMan5#1vr=f-bj9b;-?#N{K=^|MPJ%qr zQ*Beuu_umYCR>m3VBjovOi zon@0>u>G+-;g8pAyPn|T`15;kxvRITj4VH1ZmAfVL{f<9omIS(+l4=@B^ofcnNs+k z8$SsEv8mh#fJS)YxO}FVi~GN37TFDNunz(Kn8y>!CNwJuAtiiR(LQh4oaI=>%YOiR z;IQu$ExrTq`9#&_mT2;)uB!s4cIcX?Qaop~PDNl(FQ<=Hlp1SL!M6T5Q&kO{R`dOI zt9Bh?N?X7;)Y(6)&L^PH_NsBjg%3}=2d zhj7BFG?A^XR(E1pE@j(s_~mu%LjbKb!T3Y#6N63q?#-&AQv;@Zx)9!-o#uW6ysZE- zQ_n8xnd)qGfk9no%LaH`@!?4IW7_M+ql5Y6d-LuZ~(qx^omUBE{StGs(o!y6D!R4cUPa`!$R*W!Jw%NjaG#1}zp}3c88L;ht1X_)t8NJ* zZA8N@Y65ktk50lyRc72qE(d27tqQt-eT4v*pA6sXbGu}D7E?9Z-IYpDnm%tyemzs| z(%{_EMQve&Vuo~0?-qOwIp&%0;$TRz|H!!M$7q)gIE!T22;(@*igy3?2V1ow#=GU> zS{J`Smwk*pC`H2QvYxd*9@_?#qQTiweKAPCyu>Tps%RS&7(~XTHMk z3dRL(%Wa+FhGFytB2|l$+O#XGAFh0H42+#XW2)>f+yYszjMyw~`|0O;oIZ~E=<@Zc zx)bJbMJ5kCQ~e7gLY!!6HJ(il(@HrPe}!Xo6m8I`IvFJw5)>Y8{_(Kvn)NJcwp!Dh zy;N-X_m@PM>R`)|k-}o2fFa!>zaDnMkZ(P2cxFY*n%d`Fnr@WD^H^z|VA0<`7@fRU z(ml_-yC)_BLgj95f>Y8J1a=a7wqLb0H(hU~{5NvCiNwx3JD80CVPjvwa2F4k+sFd4gbiSG)(n$BjMK)b~la0FP9))N7LRSf#(ZlrMCO^5ZQHywvSij``;nd*fsQ!EgJ-N0cKK+@X{6pX4TgB zv&2xb=epv_D`nuYd|me{uMQ1YDc^fr0uGVm`woZ~WaH@NBBZsni!A&_bI_68)T|14 zc}RZe6ToXC{qhvdseY!e7h!%r|?4D6N7P=rYRF9%9!9i_4Pv{4yFf9(_ztza&*9GgzL7 z?_(`syvi2w7NFnGM1f>T<%pNfz>h`P6Y!3W`TFw}(sDDH86Rm`Fa{F2Js_-mf5&3A zrtb}EO~*b^`Ul9hyj|?FeI|DTj<^5dm=CasW-RH90;L7lJGns0Aat9pBW5utgu{wD zL@YZsnG-XIOhIb5bm@1GjW~?#CpCP*_@0C6uOioq@}bI1VO)VCDwoH$jfMe}g0pVxvzNq5dEE2{j{bB7)VSmrkZ~+O zq|k+UIHSUi=+PI8R25K5+RDnFQ>7EK5MyEIv3!L?;tm%&_0=uMxvUJMhxqZ+;9`w1 z=@ib4sz+~z2A(vQz*qk0V)_S$9TmPFE72SKwz}bUwp|;6E@-34S}_oieGl&42l7z2^6mbJ zdk)eJU48^(SzW@XVtq_-4h3UZGm0$v_O3oKwacbY65khUGy!BjII~*24jvNQFysP~ z)0~*L6K>F}b`Xt+cUj0U?Yes4n*G;&QI8)9_DeLyZy$!fE|kl2b+%YPT;6%4*G#Bk zVfj!qFMtABj|J?B;m)g;Q1f}mCh&R8kdc2ex!r+HQ!(`}4q?RgGE?!3Lrlzo#h2CB1x|z2yS)`@|EuG3h+BGcz){CzzyS!)* z1Fws%L#$pL%PL0vNzY~wp8QU!i)$52YJ5YZJlV9@`fGS}`pULSY+PKL8SUE5(~pLlGLDkDeen74p~N?>ESHl2UHZqG@27)8 zlf!pMNis(adSx-X#3+9;5kLSgC^|LOt}fOR2FoS zpM58~DZkuNR$xJ^i46+FhGp|;yKL%{YtQJS_!92sQ$G>22ZP%i4%FzHrV41JQwvc( zQ9Kz>&zK|sT+$z2%V2Krw&ZN3n%wX_7+qSUwzG(_n>P}{Znt^)+KMJC_PDeN8=V!C zl6@+`L-SL|sch-%YZSas_LS1H#tzKNK_%am7YNy z*-S=qFI%|#+31OayLt&fesTYsI-s#4TI3~bSzcAzcXbuKl<}RYVZVp~8UC!d4e{-a zd4Qo!Y=8o9LD|&k^iN}BG+1xZfTmxV;ct?ZWkEp!1Y7hxX%P83{<807E1`}JE&klS zXvBL}b%7OlTID#MrdtPjSPA6qN zQ)6yIJV(?qx5uCzhRB>=-3?Gr-nWr(4HpQesf_xCggG;{kOG}QP3Ww9iYxi8YVuB| zdysxxPn&Pm4-LE*avy1B9mX{^<+8VCyN2b8=s&MRl&;ry>=$00zgE;XxyD~)DyDoV zK+>gC)4z`NtAoSEbsvKgK%8B=vGusNY* z&P>-yvN$Q#Kb9MSjmV7X>1i6vgOU`a6xZPFLAr2OYlv}0m|779h9B{q4}~r^EFL{ zxo9ymjTz3CuJ=GTj91T|ATW3&G=WEhfm)l?W?1ECs8h4YcagfPjfQCLZv3Rrug-3`J%926@gko8u$X-&7(4SN zXZ}{*`^nU9t;E5l4y$AInn+|Yc+Wa~d;?2tl;?kWLA1<$y+Q0(%sw88g>5f`e~Gw0 zi(lBZy6~)9e$bUQDkLmkC1G@*=ntm#W`5H4d{MBbf*m(1+F@(-OUX;xDo^EXMRw_I z2`78uDi@ja|7zVGy>q6_M!aNc)Ql+wFU9yKTC=&WG8{&8tqh|*;+MEV<6#7diJ)<& zYgh}1D;iLGuD0Qx06sr{$WxLM3t{=C+tEkS{=uh$0)?4!!>4)mhB0jHJGS+8=7fr? zYG;bpve16N+ZC>-;hB3i1TW`tWb=%F8BDpc_CRjh(>}csU;=Y2gvfU1JTj<%U^=7P z(J9$kPpODo1{UIut^pCpOf*Y;5oPpE^o^#fWBN7C3uSsdFe{m8L$}kPYdlo8oa}@b zetGsI<&hedEBBNTiJ0s$T@;8ra@r(Z{$_dDG&4O5m?Hve|72J2yq%7L8eX(c_90s- ztUu;{S_`1d3d+Fpa5*LdH}Mashixy_{-#Ak>3Ur*p6g>E&Uz=z_>sZ26xh*A99I7! zV;0!KI*km!_ljM7=i)CenvOFl6B7Q?%+(E3;qsK)2*1Or zKb~6-H}NW3&jL+~V^EB=Km|}@3?6?AZwTg*oZHyn+hxX`m~6K85MjVgN?5|-1Yj94 z;fSkF3iI}Xzvc1IIMq1KB+ALZU>fkb&fwGg#dx}VjQGk^{J=VX^_!{4;AXz4Ow>sr z?)4@JIZ&e!fY54k)epV*jC*;Vwz1ZO&&L|CbL+200HLZEZrhopF8tJnMa9csPKDax zK55XY;pXQjPW}G?EC~bHiw|}g?Oi4Vj>^P12tKKhU?QpA;7G#gMb!P)b<6L)?>lH| zApiP#Jkil+*KeWo=!k^)mBoz=1Ob#8&E%%Fw%R>rQM`Ps?zkDW{W z@ZWdC!%Lt%k@EOjSu_cr875zIGRbB0VcJ3b#>Wx72_fZ*W#Mx@U8Y{#0nsw&G|o)p zdNa4Ew}_Wmnc> zF#Q3!EW&gkvkb%{l9>sit8+Ict{P}z7p#*bJBLQPZ`3)j(yQQ|s?@Qre+2Cq%^g>S zy5#Q!ewy%zGu*LWxWcG z`RbeDW*25fJ@4+yUsK#w6hCcA^!^M}`g((Gy1Q?IBaJ|+olrsCv7i*j`ezYxx?t`p zDl&N2A>O9>r2Hz;i*Z%>+}biaUd~cG@bSlvYl#N_CbAY%z~3pVmH$>QXNT6R8%Yqd zd74!+lc8?M(hII6VwcdyADgwUjY)W3zba?9U3I2xvd!@to3SEWqa6iS3wdB~oH(3} z`H$x@h~`Z{Wr1fcQKxf6@vSKgRQ zoeKx5iW$hTcRtEBe2G8O1^QnTp^GkL700k3EdU1lh+>iy$wIIqoJq|3#9-|5hUxjj zHd$motJ?O$<;|`c#HR{)_C6_c6A>XiWAR&+Vs*`GNo$Uz8lARi>KIHh%QHC&GsyWX zEN(psdgL^SE|cSYCJBW&7ajGVx%R*dbW%smO)dN*QPESCx1RCP@L>=SzyO% z%Ud*8EGOXbCDO+oLN)t{+#g6~i|Agi4SlY@6;t{4!H&v>ob#|u8iMDPAdy&MqcPy= z#-KL^O9#KZsatKM2Kdo`WBfD*KDQ#QJP;+ z<&lqKtkJUCg1bmhTKxLP##D;|5%#|}o$K6fc`nUuaUx2~g&U5LQs9F^5 z_GP0_k(Vr)BxMAx!eyDYhN;Hpck!H&iIDID!94z-{UoJ@sYHLVo z?1u!c+jPWFOe<)4<_%2K76~WGYhBx@Z$lO6k#%W{hEA}4jf+J4=(W!oJvDHKj}N6l zrH48@oIj{t#+ICLvZdF$-?{E*XR5s8cFitE1_K3D!%~{Y_eSL;|Kqki6pM=ShY_-A+$<_(zo0dw@;sw5GW<#IIiqM}tjTMB5%k z9)S&ySJu@cF2DZgK~fnxA=gE0M};oCCuP3j`1AVG|4;Xq{WrvC&s9WE5fvrwT|%cd zjiFECvgh1P*2X;%7f(KwblxxOV=3=L6O_KGn$OiJ-7tQNi}_B3HmqQNGB{L>RYngE z%-ZNmBNj&ZLUB%|_;d5Ibp!UCixr5>5$IW`EL8_E-J4vqqaxIs)8#_s(&}jgDn0Y= z0j}25E%^t~Ex6;LXwg1sOa@5muyR2YL~CT9`7HQ1(GR{1$GF#_t>X50dq3fK$lm=MfrGevL!gHnGRJp1=RazRkn?)A+>hlv0k^j8>N{0+e zds(QTurAvOha8=333x4P29j{yh_7YG#)O{x;PAAH%JWAWgI<|7{X$-WV9$WrFzYIlu_N>&FQ>a!IO9Dz$7M2fT3uE?3p7V@(_d>1 zc{Yzp^p5VrK%o!8ikme+4`qjW^12UhsY* z=_N;_%}m`CKE=;gUDJziL9dEQI^t0BX2abMifg?8|c9zMmg%|Qp$J2><+NIKerA@$I;&FE3L3+XpT{!Am-o5(W4Q@&-edXuVH^WXY9vFOmpi)U8k;=CWh@nNjMyJqLZ{F@!hYa^qR3b>lM@vjfC_F`o zUML#Z!aj-JsGCj@yEUjfP-S>Ra?fV2?(PKUQxoOu>~2RzvX-C8kV}k`RsUxg;u?@5 z?}7(a$vQQR+X6H6vT>ePK$X}_LcZC~9K$gvs~gI@ck%(KYQ%+k@!YOkH6`wbrfL7; zJm6MzP@|?;iNDWI5it=VboQ;kQ)v5r!mWNuh}L-TRWQtY|6P0q#ro$@>TDt2x=1v+v z(qIC*bdJ1_sztrILSFuex6@J3rB0PFjSdhYD|&zAMP`xu4i_ zzRrU_-f_qRhF)?+bJNNtkh(~S!8uDvMZK7ct8)Rj`IPOPzjeFx;Dhiv$n5(>xy_KJ zT=2+e=9ATxz3OlL5}9hWVdHt#hQjOgadtxFHJJ|X*vs~zD;3)n&GE20IuQ&T1K$Iv zG-Zy|h?oiS0&aZO5$GYWGL?c-*NJV(#r^B05IfvNK7?~3gYYTL$S|IOGknh#H)gM%Vk;d5vMsOjt%|1wuTN799y13ao;69NwEKKY zEG83!xl3oDGEkf}Hg9^R{qMSNy_|6uu5Cvh>YF%3Xawyi`4V5@#5jLGwGZdQ#h`5T zg1*M9PfoO)yI5-O=sP=zuXvT#*|OjA`@^AP*8Ir8m!ad(%JeN@`8H_Wd4r9 z+6549*n1oa#d{`YxmuF1$ef6IZM;av|8RgbJg>&V^yW*Mtf?>W5HpM2Rudppwtt)% ztgGJHs{73`Ez~MxqSX&x4V%sHo*F=3Z7XN2{q*xnX*k#7#G@OG67;tmP<^U2tCHzUqIXb{etB-(W4 zcZiJ)2Ki1jKRsqT=7TR;zfoFPFyN@umHy2Gt_ka$``@H6x8!a-4siblm$|j^V-l?n zQ)TUK=)@hDKX~Cntrd+Pxd<(NRZ(wITV(xm8L=7-wwF|$N{v0IxqkirTtDH>ykn<) z+?aMa_@S-Rh(6YWo9aAA@O3Z|pI{G5TpxFq@u}8f@T!viZIP6Bp|fiynhX=xon%p&$5Z)4m&PN9}2A*D@V}W?ZCAS1 z{|CUk&SLkx=Tqg!2R*gsJwuN7P7{5w3%Xghb?n7JSkB$Q2=z>i`xi<0Ch(JS#+XBZfh-s=y>tv z9@Zh+?*wQ16m{;z7gD@4(tMtuRZkKMgiT==jzp~5w18!6C3M!1HH;;R>G|8#tLIKE z50^JnVh$xP0HSLdD^lfe>6q9wHaeHWcXL>oLZkf@cX**90%kfNsdDR)KQAFpOv0+~ zC%meZ#i<;KXn~Kh=gpeP?!Vg8(j^17`yD6zI?vMfyrjOTw*kBhX^SLwCLd-ZnIsj9 zwx<+}a!zq(?JA?)|A+_9dVPhv_g}=jB>KfLNAcvqrnxg708~cHgn1K+gObG_l_yoK zqmBOF{{tKnHND*NA@abp(4sje%Tv0bH59IS18MMshvyylbJ5rkt;e`=x21&ju+L22 z()3@p&!r-YPF05$24r4K(0LPBACggiln4#+~+EA6=2hGf~tY$27G9 zxX+EC3A5}zt*LVkB(t@(SQ#tb;>~(XKjPSoZe<^%}wsbhUxm#tfo?#o_Eh=iQVdBM7+aq5|6HgR#$!#_^Yw^ z4P$w3n8Nh#@}97ohZGoU+lX!*1)6Wc*N&^vZAnASjFyYRc@R(OfzYo7Ujz6vg`~v$ zjfp1Sy-rBM1UH20g8jKhnhVN*@CXIod}?)nu3uT;eeJrJkh5Jm zT_{)Kt)MUTM?|!1oYn)KaWUYn8YX%|t`owUzFth4`Nq~=FtTBzOCXX44nj1i}O^k&T(n^}2!UfBV&aHM?s2@tNlHH|9mVYKg_ zKROP$!0Q2ZrivbW33p5*%m2n#kUfbVzPI*T;k9QSJ_d0a!Jx{rdUq8a%G-~qe{9b+ zTJY7+c`5x&rh~ISr9kp<3@fnDNBb9j<@o)g@cPrSg|uVh%3*BJG#1q0>D(aB(3!H~I?;{}8YO`hqy z`%{W>{iso$ud{7}vHmcEBHsIBpTz?Z7?1gQK4jjutW)&|w7$+&&}IRAQ6_lyO)ist zlS5cWxdE=cr-wc%)R$JU#;lw?*BAHzNCn@tl3fQY#C7NY1ML4z@e9j{biJ3L=hj-9j^8+a zZIpIT_Qx=S>1PCQ^CA`;P@s%IHjmx9V1If)W@Y{hYlb;AFF9jrk`ZliGqKK6VQO`z z7xJ5s1w^=nz5TPdW1Gyz)3WH@colBulrPj?Fs^??mIwBlWezzKvA0??RMe=Q+iffa zysYb_MIXqF?*B4I**xPk01K z*3=$SFij2!{-mp_<`{4wdHhI%w9i*%t=mnAi>_^Yxpx1VxS$(eY~|TC=QpwVI_8H5 zL9W70#-jUJ$5)AtH{yWCwf`zxH8GmjE>Ni*#7uEBd|~y!hCG*6EA>Fa4+gW>>u+ZN zrfwjZ!lqZ7Cdb>Eqlzi0(Wuo115i#7`up-Q3!%J|t`+sb2KqczVKJ*5FeB@B2`|<^I5E{(?KDK4cZl|azOS> zPzMqqR6H;XnQ2$Z2u6o~lh2c-NiB;L+ldP zxUSO@-LFO(J5b6k1%F7$+ME2<9#*e(P~oGNjKre@-~tGJH*SY}^AP$U1r#d&e8)X) z9~rwx2seKK^^VQU;^2H)R(d?t1Mp!X^Py9STirb$ zoAF?hOt&d>ZCUpAhKP**6Y=48e_nU z%}mn3H*4iLZ`Emp{|{Y3qP~`h1i+qdC4l|eU3p_8dgGqi;(#{nw2Pa_uBQ`PJW{Ne zG8k;)b2OIg=k1OplQFQ9ZqXD!ZOdF+ zi6iq7Lp*!aa*VFv3X@x-L}b}>9i_bKGsyAVERs!eZDhPe%%t9KMqfJ~M&)2IRkr|5 z3c$@X6pMP!t8WZ(#kN}fH zeE$F`HExI?^%@uL!VI+a!|q|gUdp?FtV*7Xyn=sIQIv#8xc zJhqm$Qb%eT{_MWYM3|nLS3rG;X&C~_*@Z&X0{hwGNFr_>B$zp{MIwez$n~RhfeNXxVgacI~yRZ?Ig((Mv6bq}H)4 znk-NoNZHUd;FX{c%}{eJnQ{a?_4uS-;X{;y@Vell!l*0|Y}Y#HHHR z6+q0l24A#XT#eRClV>>(7tD^i*f~}h1R4OlWfWrvqq^TZh>1 zpOg{{b^{avw-%jh(#9>2ENrnd*_k}XW&1YgV8F2>&&*bYaU{RHj5F|{7NsgBxRO}m zf+HNQXr5}MQ_1G}utqZ2cbYHW#;SKbUplKNGyzqv7TsQJRRZip&S>%Mqf(!Xw zj_6Wza_Mty2;9iQ*C44-1})5UTSjM$`LanMVIVNYG*W%p5)z_zjvx7Tb@>nQG5#P7 zo2$EM*xcO5Jn|`Gtu&`8y5DWA>pGtz+B9sg`x7Y1z;2~LGjFH3w?vTHM3KzP`^lsm z4(?LteXp3Oct0#7hW_c`C{j8+6lIq%c8&JJ_c_xpyl+`aGZW>2g(VANUI#l>p?NO>|X-&7$0-;v~3%Ov=kHcm18@*s^UZ+q||o z+W9NBr~=Kll^BWc771?cBcJUT9$fxgPafUhYkll|iOP-MLtyRsf`O306VG!bjVRb& zIDFY{Ct;J9UFj>e$CN(O%k!z=`nV`CN6Q~TYHOoMlx@)P0pV}f4yxUAL zJB_ikZB{%fBmqDlW&9WLt82GfC54LIYFfskvb~g&Bi&lTb*opdftfoY zPQM_6X)T>b$ASL<)+m(lLjM33Gq<@s1puZeC?=i=<=f|O-qOd9FaCMwBnJNgXOrx5 zO#o76xVbFy7gU;ElB-UD1Vf0-dB@6I}s6GDk5vRBuNoa0l6nk>4AQ z04QdXIAmFW)PJlJCOp2KGlMs$MjiW51%M@dy5cv2GmwYNk#_y;+sX3`bDV$&eDqKX zred-L0ZObMOk^G#lZj>Yo3}VUyJ3JX7>c7fl~ItgzV;0mW&6t$9je5C5MF=X$IJl; zb}MY9Jo1uE>KEl=r=v=su>kfbuUwu&fG?9Xg>{PI!zeq%F5!=;VZk3v{{Te*|I_{k zH(VnLA__LizBq{U9KWQAoQCbR{YKtJ06t?FW-Ek|2bm(1`?qgFz}(*5eUC~2jT3Tw zppa0+3{`|Z~dbot5K?r?Vi5(Q%NA!YvnQI5U3`sW=_w%1c(cHickPb`Lc1oPcQvPl6sQo z{ysK?j!R<%FaW4`2_*(R=glN<+9LbAIsPN}NX~l!KoYcy6s%#whVsm;rd9(z&o~`1 z#~t&?U<4Rfkua|4e6>a8nRC=AjUkI#w#zSnX}%&)!PA0y3Vo+bNFlD>RI;fIs^&zA2bY;GhfO#ph&f_z!1_-^tG zttRH;+D$&{&gn0pyDzUgqstt3U%R>xos7`8J7o${yD-2s0p~DXEsCyg9@W}% zUPppm#@(h1GTK8Im}K(o{{VX@mN1umHXrW*X(j&v_L9u2I>{T{E!C~dTumD3%%AEb zWwTiWUcdaj%71Xb$DXPHk93A*{pn56K`RNShH0fg?Ja{lL+_k>f%m8bw$rREq>AcT zmIix^O_If^K@^F1A+`SiSmGD|074(_Hqd_zPzR1`)>2EW-ID(R+H*SHOwl#WQ%&+6 zJ_pOp_fdZCIqn&=jjI%-?Fi*SFfP*i#`R;%%_WPN9U?F~wm$Iv%)IUI#~=C#1)EK8 zSczns+gZ6Of{{vYCGuj8=NB?XWV?#OQMh%Ke5bAr0CrZN8T@H!BC6}x_XL?`x4V)k zCXugL`3W`K$!d^IJ4cpZCpPSyfB_9a9+%<&0NP8%`g|!is1o&VOb~>*xQ;lcpR-)w zyth|m`$HO^W72>^iP66Z<*{a?5DVz((-Fze|H_!(t~py?Be=+tH`28^2O{@GAtf?{hxEF z9I~1K`p3iHw%(JfLk^v&n_Ju4WOywT?AIEVocguOUq++Kg6ZUGn$gxpj1BF0%A0qv zpbh@zjSsw86_ytWy)GFvP&G>N9Q!$z@4Swf?g z0KR-F;XP){Pu28&PIIV1rY5a-ronR_qSAkA+d#JQ%Y65CX4-qHug$QsZDY)~(3n|l zThhCLGLP)_FN!wa>RuY~mb{)_+`5X3%S|>LdkC)@3*BNZLwt8v_cyWH#LqpXZ>d@< zp=)#uHvo7hyZa~T(pu?vx|WaP4-H3ka|2Ct7X3!U7q?fp;q4-dHfb#_pmes9SocR8 zu#Jdj#Q=G(xBE3g16|y&izbPVqoqZ4qa7&0u1Tm~-H3GSi6eqHlIKt{GCb)jLkLz3 zRD-#IJaYH;dGW=a#L&ZI9;Z0dZZ%k!N7UrHxU{sq{?NaU?r7|O(IZPNHt<@}(jw3Y zC41p}ySw`+P1NeM>TPc!wv{d+w`I8Vk!5?5ixIt(32q;0nZ8)WgbDz{zwqtlt=q*2 zlpiMI2}IvzfXYR~MgEW)MK>1W*%`~*`W*7a=G;Fw(?4?H(7Bru3;0#IP63EK}+szbG!)_7TkuIT@=Ovzf*t?qW9Fc0w*29yu94G{rwvq_aY)tny z7gmzX=CVaRQCv3NhTP%p32&4OwOqFxoEiY;<2MOB(1~N1L|_t4EyTZOi{`yw-bz=? zPo33p%sysO-Bo}jyL+23k_e)EQ*kt~tGM$E1v5bez>;*>rjzB5?0#nV;c|GO3KL4k z2NFdjOK=v}+2JrnaW%7@s}-)5_8S|!Nf_`anlM?o3_pYe0`lhPYQ+;p3P*!05GPm9 zcuz;~f|<@U?4T4@=HFnNM-4i~0w*&~(F)|1bs6=8%I!oDIQh1-!#oA za8^+qR(rgOS%%=TpR+^uryweCLgjZY0AbH=(%d!0%reBx1dPP8z^!ssZGl3nprbmd z=kGeG!DZY5X%TLvxww)W`DIC!QA{MHWzUd+`A7nmk1V69UPcEh0nlhRw<}?)$Zh6m zkNOwdWW1Mkr~I_UQI%gb`J>Cg=YPq=3@`^nq4-l#@fN3Vp?H5uI=-VC2qJ>o+B=(u zxVwKYV+=CwlIV#(OKpiEcll6fiU9hn!XL7I=Aq&3Ut96UrT+j3&CZQ`dG?J0}td66fOIhSYz&YMOS}%w`Klr6JT|Zs$ z?W9JSIs1*AXd3S{jjuR<+c$X*69@8!0rVx45*nwzC_j)M15ftZdc`ggbuFNKzc} zKpzMEN&Te!W8=L-?8V|c*d&fQw7t5FaLsphqcSvSHx_m>M)BKP+QlRU6La>*K&`x} zU=NutwF{j>;qLBO!+Sl`*eh*G*{+xOQo(Qg#)eD55AQ86ll>i#?p9^PCw;SfX{{WVoK4#8-d}4q#Uq`#TS#=bX&0Cj>IizDGvdL_xYe?|i zUn@ZB-zyeH!*F(!Kpj%)u-RP5nY0%`CBS=(ytB;rU%L~-s~dK=hEL%vp?sITs~ zL9@@cmRp!1Z?ndde4*H)=Z(W3FatF^xvttjIc{RP7A*NmVAP&S@1*l&Ybo*|w3^x< z^jHMPcK-m~j4{OkW(kDC0KzBSv#YU{W4lMT7ENm<%!G*JSpqSg+%5vKZ@Sb0fp>Pu zVswf~ThIN)rsC=vJb8G2b8Oq!YyHOFxW?dU0))3~Br47&^XHYk%MmPhQQMeXU^2AD ze7j=bD0kY0jsp|L0A;Q9#F43MhAi>AnXJ>zigMra@(N*=6CXck1n2v?=V%28&AgM^ zyDaV{-{n1=$s0Y)H#>v8L}c6J=HInbZzS=W09Lr0_fd$W-s0Jk4lse6YLdK_1+bvu za@-C;6aY-DV=(V&UH8tdC-E+J+r+yMFB5#bM=IPMrvZR2z-G6Bl1MFMx|8>No;OKi zoBcQENE>Spyu5|}HT%1OU=Kslk>=Bt8aO4MB=by2RYAG`08}HjTeBCHACvpQCLG6? z;Xv8|TKIA{w7z?J8Q$I~5v^lF6(zcp?8z%g%ktX5KK!Q%~|4&F28ks3zhP${%I9c=AaMePxi&}<*tL_-G1(Q z?$n!DE-mD>y_sdak=ZWgkj%^EM+9o=V)}-D+_O5uU{_^I0RCzGeR*-I>l%)xzImSZ z;7JNyrK&xypDX>D;)(vxfEF|iRFp}ilQ~wEW8AVtJdk%VLD?r^#Kw|@D>04zcmR$`AM97eMS$ump$+(a9k zcOyRd;IIK9k_BCovlVY7%CbgO4|e1M+uz$bpa^GkznP|sDx^k!O`!A}S(J~<^8O$X z|J42lM)g7o{{W_t=lx>8OiDAj9{&I_A3@2W2LcpE@k%o(!3v=;f9;_j{C=Z~06eu) z)2y2dV7x@(6o0gFz~{Ia>Ilgc0SA}JUCp%gJm8G>IT`ii@;S`_JdNunf7T8PpSV7~ z0Q^DhGr^z-d3)JB%&cxVGp2SZ^(+WbGBL^g=mAJbgpuu8HXpOBt0KA<&-&27;IDGP zf%M{l6own)Exu3h51KE`Wlm4~Uza67CXyDJrjSVO5SJt}G++->N}tpZq5ISU9FOHP zMkM{)XLt#fTygV22%UEK-P1hds(>PtVy!7Gs$q$cA1uhDsU0_CzBAi6;(#rwk7n@- zd1JM^h5jwS#6TZ69l7I{AW#Db$u4}Gh=e%L?-90%TMwSY3^ty4JY#{l0T3%J!BozE z%ob@BVPj_Ks75|!JqAX5X99o_`RN=@B+`}2nRXQO6VL0s46=3V-;w071g-NvT}87& zD>B46SZ$*Fm>3>%o&u4OeR-e5rHKc}SEy9>ne?>n4KW`l) z;wF>fyDe&AqcAYx4~L^U1~ahoGi7tbo)!jidzP`-EFV`0LR!D4`95g$y<@mP61F4=JM{}R5$W1 z&9&8p%&|wZ@q|FW-PWznTdZ32T^L7*8yq{L#Z4 zzEit_pOsXw&)r_M0gG*YZr2k_zDre+Aco##`DC&m^~&GOGH^XVE;j&o+GmVzEF-y8 zXj{*i%cKo~bV6~~i20L={T70gm# zD%**y+ib537215p`9TEkY%d3z0Lav|VPx^QpBb81;EvwmF>e&nj;2+Vg@WK7s>gWm zoKOZrSt9QfMRfbY^V7%Q(sv7Yus^^9lSjKpQ$Xx2f3P zTFVBzs#`szk;-l?=LT5}9VHQDv6yqv7WF5k0D2~i@n6O|9MXAO)RzdeHO^Dbd!0Vy zwcHldMz4O+#T;?oJ9!o!b`%q|08IdUev$i7Yx*=dNjz8cS>HmsbnOlIGup6_`Gm7x z{jOVexwC73vTiuCkgxiuDgpGz!~X!=YHMSnT`lgdWip4-tnEX6s@Wkne`oV;h6ECJlVIoUz~3P3<30agTHLJFK;vpjbB^2crBv8)AiW2{dyFKQH}0?-=+v*xdm-* zG|4~WV5yDw4gP|lpOJt)J$^iVBk_-it~81KJz;Tw=lS=>)<{!W@jjDrZDjGa&E3wa zAKO01Iy_pfw7yN;va3gI71fnMJwwBG-v>48JytZj@hlh14d$bz3k_D)w1>2o+QDB- z*2CCo_XkV0X|5IBy1175)Ooi0i|DPYL3i?qH}Iey1F3$_ei?lVO3xj4x#o|ZA#-(hEJ5s99~Ku4oM2298dfypAy*VXH{j>Kd|u|dA9P# zw-?Ixx6(|}+_QbPR#~F7jY`FalHvpeG^iK@kJfwxt7uRoU+B7)n-e9>lSOrJEvSwx zUCyZmwDCt}a&Kgs6#*rGvb2Z*1=O$x66p8RJVMgV*p7F17rP#sb8xa!Uu>r-L$1@vWp*;(xVFJiEUyciW_0 zmMqK&pbi#jZ*uSyo*T zTdOyi*B@#=c(#}`k@JKAHsB6E;@`}@fzep~wV=C#V!muq!>~`a7Jn^mhWc*~n44kv=71>qk|Z-Zki3xnq9|i1W4cMZ zyzGB>9zVR`bk7*W06x~u*`=IG5S3EA#!9axKqi11Z6=Kb z@Q`i-?8@OIp49Lq%!CM}_sIVMfn;p}vn{bmt^Bwa-s(44AgBaOZj;3;LT$_WD%VXMO+G_gZ9+y?(OiYgp1F}Tf zyiX9$$QOEUW=*4dXB(&j-<0oe6V8@F9k_|*c+77YX4Jcn}A;*Hyo2d4+2)U zwq&%92yS9zX>HO&99KuIGCKmOw_PC&SIqtl&;`3KCVPg4HED)tlG+(?(c8Vst(5Rv zyprKO=v^E%Wch)WflyU~fOfte@SdxxU9FapZT78RZ#4z1io#p#@<2=0n++6gY*|E* zaj>us0V8k++8z=8jU+FMf!hf@N{_tECpbxP$Ux0rGeieLAyqn^U-~28aJYA&NCY7h@SGSrjk7_(e zYSC(U*0)-pm3ye)m{H`C(j<9AXwFatdI0k+SN5XNejWG|#or42I+h+1TMb_CSMdFY zooj0am5tq$_t)@V%XN3Q>Iu_NWm)vwCYDWQ84jNts{p_s0DNKnv#vGE9WDs90R{Gz zEz#00tt7rk%r;olT|VeyZOR^?~b zB)yIACcL}*L^CwHl{kqH9_x`z_U zByrvOQb{aIauFi=-H*zt^OjZRfHGw_D+3+tbsTN-B!_fzK$knBS*M)Fw>#J7L4IM} zIT^>y0fzHKDx|ZImf|Z-@><9txdZIjv@I*2D0!!e^Nx5pClmqBeW&d*t-Y*5Lf%a6 zZ7SQ#Yc$FBEy{k<>nt#?#wCf`Hnw){%79PiKIo#7C`uc_X_;VKc_BO3&7JTg zgU|ie_h6<`uw};D04^45b`ji0>WBB~7?~AfTzURWN_bZDK2U{}?&BHafH!p87+%I@ zlG0h{bXo1#yEN8&{^8sAqz(Kh1UGD+6a%HxBrw8=`{s>ixSD%ir6GsOZy{inP9}}a ze=t@#+A;$HmH@Y5s$9q}=C_S5tZrlTV6=unWDu!Wi6Laky7MPxi8gL6D+tD2w$KOD z{{RDY-D|~OAkcg*0aF4kOs@flJCFkjAaC%7A~M zZ~PPQ_HcjMANF>z)O<^9uz178I%U4Osj!UNU+H&O(Z;W6CHrmYX3=cnu$t;-#jc@s zHl!@nvPrZ9BHr+;Fv%>RAv02Cct#Nwzy4n7Qnq-3sEG)nu zj(YZ>`3(&5T{%EQGqhQer``|xLA)PpDf9XKTkQG1@6A9QMdO=;x!vWS4e~eoOhuAA zL*z#rc|?#*XL6|kmE>d!0Hpr_XbQkaBr)UnQookta_?V}inq+aFykeDZZkj-ODu>9 znJrQQE(i+ZLG>IF-=EAAfj|{rMp)RiD#~OnDFBeFy-a;L9mvQX@(xr2DB}{JG7;tZ zKl9d2gY#{;{{T70XaRCRcv(vAJ5J$%8_=FGN#_K8a18(kID*FPHYt~el218v>|-Ej z{`&e1Vt^H0lgnfRHa>O%{{Tp1z-|_Ogz$6083Z0PiU5>KjtqF8d~4){+?)CK#z(jr z>(pRS1aToE>NjAXTtUaoB>B%pAMG&41_?c~ND2Uv=OKVHpdMl%8%we16mgb5gP&k| zPze-_$F?R&@MMStGVWp2Nw=XLc{v?$xcPt`1jaa&Eu2#4ELwk=@=q!W&&oL4`SF}k z2mjUn1>=#{Hrk_c=<{Ci{gf`AgoDMPy-yM4>$jOB6{aK}~M#zsbX!O0W= zF?AtekcAPD%(0k+nCrB@Lly6Vk>5Pf1m%^9kym!$3dX#&d%o!^GDhy*0qO}HPz5u* zWHG@{z7GaWdJg{pm*vd>Sax{h@|{^eZ!2rA*2k_6KAp$qngEj`NO=n&G6RxAaC44G z8P9AJp4h_B0}F)!fN)L$=nHxel!AEmAJ%{-^4;T#F(tBp&s^jNKaXC%pHkTQKnIYQ zWJH-HZ#xYsMb7SpcPP&8qZ!Yr>p%_5qm&Kj$ddfAyn9%VncKl5j-Y#xINAXrY$P`T zqZt1H*2j@DFgH87^Y(RLn*@$I;1bjTEP_{*l~0rXVe?1No1E}T`MzFGILA2XXaRyZ z-5=kKT`6XbK@GMqxZ8LoNdsvMgWDLz06Pw-PV|adLpJTf;vx=&Hb}w$03^@=&Si`f z{;^~7kaGx~*XveGhICxq+wDQDJEb1-x%z8Esz%#}0q7cEjWyjk*<5KFr1tlE zd&ecSe`v)!M{@+gdwZ)prL{Nmv^PWT7tI_kuS^)i?@UM$(e0$-^G+z)krloQ;>1`milElcm zqFsN-tOHWLRGN1m!iy6zBO!Rr0Dc30-`}v&@GZ`x;|~d2H2NjY&8*Y4rJ5w#7O$(^ z$#&Xg5Zir-+eZbIGe>Qv-38Ogia@jB8h}3=Z}hv(HKr25B1bfL7LE3a6)tAJ5_x7q zuZMv7pCRLi`47#2pd1Ws7Ch%&V1RQu8Wpk^ZL{7MO7-xL92Nuz<{jZ#SB z4Q|Zp#z&G_Ew-|+_n{4tNNu3-az+>e{2GK$9Cj=6L9!{}ovv=%&%K80$sXx%c?j>RHvttLb z6JY-Ud2^Nk&$!TS1;p%3)5{_9r(nfhCN{a;kY_mq*b+G)bf652tv&}4PSQvAl}PQb zC5$Ogvc2Dx9i(xL=6E9c-arE)eB|vdKoq3X?jn#!a}CV0#W_bQJSt>(nUNAsf6>^y zZlPOgB^Uxqw$Kdu?KgbZ`;2?0O_x*0GHzx>3Fksc-puNN6OzoJ43W432_A9f!MDtY z5dn>e^6nuXvM=70eR1C%31A5(jI`!Bp55ViVM}-;W@}iZ7P%+MUDAob9FM#^=dA!s z73Ia8>jW6eAXyV>p{)f1MYx&Z-+iJc(*_jT*rEo>NnC%T6?!EX$Y6^#Ofsokc@Iq$~)tR zpbuivziA&3NvA;uph!qzM?kJ&Hy0MaV*db3X^hAnt~R;2g80GrPT&AE0qoj0?RBlg zCZ}U?*LP;-&NyxC{F^q486bg>YN>TR$!|T~%cDm<`m<_9l&OG~J3u~*(SL1kHq*m$ zY91p^MfA&syDO_(TuY~oN=4J!)L0EJ>e?u5tP*>MNiXu3A}L5G%W|L{exLF0z`DM* ztZO>GmXoVr8+(mIPSoZ|=910rFFfexwzr=C<{dN3xcO|aA@gjk?2nmv!aOwqc3O4s z!2MG~@bIzI+ePs-nx>a$b*sUvyZCzBP`R_QpG$o=Pt(584x=Q9R$WI+7Z-(<$JuhY zpbfou;m?J2eP>U!@UO%hEn4a?3@z=HzATCu^yj%JQx{fRE%I1j{{U>oGfRFf?k{v~ zO3-QEQGM~F0C}{33oa+P@m`~E;e89lT1;(u4Tp(B-N9$43tNj>Ah*+Dx{f>Ri8YkB zo#l<;k)cQ?d;t@!0C|s#J_7i1^H0()A@I+Nd^sB>`fGanY1)*U94&6TeA+tc_Apz$ zhNRj|liV(!_8W;xyi$w4QTBj%wyFC#X-#--{2k(piQs4y-0B`E)8W%%)TX)7zqOg; zv$kvbR5hRO?23=x4k9g|m;=f6kAPkwv(fMTMQx=;KAUFSJ~cn}9eiQ@}nVw6It;9UEKIt?mO`V&)gIis7NzwSLic3M6cI zr^*lUrwh4F0C}bV0EcxLt|oZky|c3Op@I)J8s)C!ThFtZW7xkefd=DfxqNj{IiL^4v{sCW>gF7tq6FDUuacotkUdEm}*7mPb`9Zw}zhpoL-s0AOC}cu8(2wKtZq zG_gIx+eK>IUVpTyw@u0+4&QX#Z47uB>Yx~p1SxtmZfunyc6)Y1Aw@>=-I>mIgp=fA zPs;xQD`1VZ0Y+U4;iGvH+HBm!XSXiRBuql?YgBmtRslX^a1RT~ZUayQ?5*xZ2hEHu z@XzM7MiUHvT!ES7ww48P3M!*BJm+Xta!A420JoNsS{JyI-D8e9u@DV_{{ZOQZv4aB z%xsHH=gmAu3CN%f=wd5#8IQ}hX_n#%5_FR0L_CKs2IAWkizI zZl;|Si6wbdv$9F{O*&sEl2m7H!vrBZF$XjOW9*l{bfzI3kzLzKE*d|z12N%oxj_46 zxBRr9Cf+~e+lm0nHme@klHx%$tL97Ov}qmHw*LS>W=GhBOfBVW&%T zZF6cPw}C<`Kbg4_*}l`d1!>C#k)>W^QrVGtOzk0nJqN-c4t!OukFsc*4yoc-YjwC+ zvx0TBu^Sdexzwacq>gB0_nc#l%Iw1-)=0!xc%((6#PXoh7>Cu{FHf zt-GeCi7GP7Kp!alQ~j#+j|bU!+zPwOsEjVgR^Y?zTg* z%KglaXae=Nk9j4?wigbKB+#>4-Nw?kJJ@fSMt6G2$r$IZ6a#+4!m#P)%ua}9zG7`I z4XOyO(%b$%p}0$Tm323Ka<=|q9)^H7*H5vIHA!HKYsQsPCwc59M2;}8D-?=s1(_XL z2?bqP5uM9G8Wt1E7&Wb-x02}HUR!DRMmt#A2tGg~c*6%D+F!o;c>53Ui7_4O0UO6^ zT$tA4-UjpTn&h&ko<#5E;{G{)X*9d(KX>KD``dT5v2eSF{{WC3z)%Gr?G_g6adB~XAW)xXfcY~o?nY(v1mQ8|uQF#F z2Q9}G0grKc40j?iaM7En5;n8*=e%iNMf0Oce3gALw2~dFw(}Cr!sO5fPPHY*B}mp& zc&WK(Nm4Y8C;tGCh;7o>%@-{X{Iyv3GJhW4tO1F4s$EY6P{AXJLNb^Fe5%m!sXU54 zN9r*6{5miO3rz0}DJ;@W4YX!$@}b#nxb3unx&S1RTjdB?zIX#C6adwUnGy-fVtzo6 z#HDS*{gCfK30Ze9o<>K^ySk~M4JcmqSS6^M)!f7ivaHNV8<}BJ31SzMv@rp4MF1?8 z(?kr!P9ELmg5+G4^8WyRH=N3hxEs8m-r;h5zutY$XaTWIZX%jE?I5_ayB}wg;_2?f z+7wT;M=UZdSQE(D*a6(frtIxd4J$iiD|;Cvy7R5# zh8LbFOWO!RBOY6mHdR>hyMHnd^fAZX(4!aNnvs2Gflb=AUr;Nw-)~ZZxLcR z;QjoPPC~3dysH#u&Bcw# z9#x>Y(X4N8$V;fpTit5xF2s#uKwuB(EB3Sa*QDthHO7yp+{+!Fl_1gMvbZqYUg?vU zdwatafTVX;@~SzrVZ9{?-di@(R0H|Q{i}X5$!X#JR_{&ME;U(F;jQeoOQ!NjXh!Ll z^5V|^#_`)tA2h2ZIh1m9Kp)Jv#orb$i0`$nM(s5RxwyG&+td%_1oMvAA-EE3^Im4+ zC4{p`+$drV0DPgYJIOLKZFY>pvVQC&QJ=E%9lq#2u*?YKf!2UI54h9A8bYh*2@*+V zRd}M8@5Z}`^T_@nH)GIqxB;_AZyIg#nsr0|xu)1{_CML9KoH!s zxsp{6aIB_LaM2Y~%hw6C1CIWk@zp>x=52;DhcK*4Tt7)X-@mjL8@B%d5eMbtImT!K zWm2RuRC$-~Pv!|DBmSBsFh8$cW8I7uQ7RLk@4^8BH{`?-WLE$!Fb^FR_R z6A@$^IAG?ju@RRpL9?D9S_|ODmRf(c|ck?GEUogm{U@m->^3OxMKbTeb4?nc~A%*a=vPUn_nTYN16M-xsjZV{{RmeJ+sz;CK&=k zV^X+2QIYqB7e8~9$iyG=)1TeIu)P@*_3&KRmmTD+!2hP`5b*e4ELZ0g5|c9-r`*EcjF$p zCy&n_`5@2*nRdvMKH#kF3ZP6F;$hShFaaIGIpAj)%>XqwFP8HeQZRg?u|&vLUe0%@ z9D~kw^XotpKI#1I+vj-;ACz}(C!+kg<-2juU^z4aUA)7XRXnoGxz$)kp?zbPR>5C= z*gl7ypc5e=`K}>covXPRNpQio?T}%7le;6HtObn5`CzR^3G=>ld@Qz3ykRJ2^VU;73 z?EX|?riL++;lbzR?*9Pr9=)gmtn6Gg!BO9a1N~Sds67D3al72@&L{&)-Xg*X*e+U7 z_VP#bF7wf3U~m}q+QTP+GJfa=jpRTkim3 zg0gvXMn?NkURgoqo+tB>e4&gnxBmb}0QG;6a&{;Mm1eq)rpQ&aSX8WW^DD1eSD|I~ zWdwF7tpGhUXtPf=DRXBaREkL!Ly0H1!$=xFF`SI#4CG{e+5q(rhTjx5--kXa)BH=M z+`Xmkfl16ruqB=0j^{GPG<&wRGmn`vFzd?h6aoDad;tBUyfN`J!dhR5{{XdIYBmDi zKN9IMM`|b2<+%IuO&r#-%WNC|T+W)W<{bHDutI=-rT8mJ@UO;C32B-RyDg>Io@<7? zu$IMcEp?zY*wNuuxzsQ8^KoeQ*O9}gq{hHK;wYDNsH_3_vHNoW0KqnVN#G{d{CVL- zitEAG)5CkMT4|a=Bg2u&KiV$V_GlxtLt_JfufA4DVn6F78Nz^m3V5SHywPv&Qe<$D z`LRV5b0xg-%KrdzN#mDert$Z80l0K0_<%6xd5UgziZ_zt8FsC`yhh@1yV_hp?qZZL z&GuYw3(njc0J~vr9nG@NU!E=xsnW801EoTu?GOs?PxnzAq2e6Ye& zrJ|ldLM|aYL1y3&o8{#7;AH%?0hJ8$MGW6(ISvA;yXWk&OZVC=ZS$rd#1*nSoMQ|D ztzoK&<&Z>fTg_N)#m?lGM6v^s9AhNRJAud?PXy-(d z<|vKI5{o2_W}6c`n~kBkGyvq&g{UvZ&9t$^BDk40MJq4f5!FG5WKRsPJHNH6alZL z-`qj((3YSIHGAD;BMH6+kV#M zau)PN#Bu_F3xI3gUfV|l^QHpI%F^`659s3y=D77y|caDuH|$q_LN+PQUL{M z19^3;lO?{Ij5LdTriM5cHrpi6JN=sJCJ=e81H_-|0|g{<0H6*1JH?RcP~6)`s9L?f z>J3e-WtG9Wx>339OjeHf5Z>6Y%x|&w%Yn&(hG+x2(*7swno8+$+jxfQjhwgBM_@eE z-5j>tQ)^sl*QB)V#jVf-$UGwhngH~zC*${uP}`aH1eQwyJoCJZCa0)>XV_e;eV0pi z`&wEut<=oPAW{`vkT$l^4`%T1?TddD8jhW-yvq)uXKiZ&TVK4*XKQZJ-54&VmuwK< zT-{q;-Nz)GWRh#x^!3D&q;vu9ejWX`EVNBu!_r+fo84Hn*Ak6N+fkC*3E;S0M%PO* z&2#o?7E5=I-gybm=Tu^)mv9HO*#6c(4!nEu8f{a=nlFa@S8uIE)9KoVt7`=R0NI-~ zud>+MM+x(7<+~cdI+S;yeVp3n&>f@Z0PB`-fF3aLg^;nD{{TbrHP*8S{3Ko@mU;CZ zA5FKrY40p`4I0J;cs#8wH2(mxTqEvFX_carW2r>|=X_D{li{z4_5Bx4@V~_`wc7sx zWZ6$~srZ#_^$9J+t|M(bM$v5;-AQ|+ymqNEXr5Plhy;MNs2BsE@ek~|;$2fg)$bC= z!+s?2{5O+FbK>jk!C`R}+GeZ$ldM?Dqp-TTw2{yHWxS6VV-N3#$a6p*E#g1f9bnTm z3FP=!u4(c3g6{6#*8b8>H(A$p7As{Wa_JTtbK5cqBSw=>V;c=Y6^sTz7|;iWc#rl^ zO*-da&_3JZe-2*4UfW5~?))ipKZtJL9j#+5R_O(mjjG13jd*Sd@`I_6fWm-0TK@p{ zUe@(D(qPfG{R>u`QG1Cltu*+re7jgk`#jgzw{Rt*+{YEy`b3e$+faP%fHL452DSS* z{86&|UHpC*lTp+3lC7#-=<9DToo_U=t&1(}cN(8Chh&JfWB}}_aKs7#;&o4lJ|fc8 zNq6DD5NX!&#T2%a&txTr?f2f=&;6YsLY_oIMDrQTq@Ga`#C}|cHNM~WXA?peO`#jjj|_LCFb6y|8=af&;xbx7E@U&?*~8`rj#s#l z5?`u7l1}3!tSHhD5qD4npz!^~w_1~2Sx+!PcH2oPiaSedk@i%-j#L0mCB5(Oq=atS zoSb7c0X+T~)FQTprL?+4StOYf5pHH^5XQ0qq1ni|GQ_Ec8_cl<-Mx1JQe7HTaNiHr8FkKX?`Z=q>a#k>=8((=G(i+gr$p?!Ht=_e&6f zOmHSk$Xz6Y>X4-G&eHPzLvdJ`-#HCzKg<9YBPbMFyg_ik6b9+TWN=PB9dl$0@On@ydqB%mMa? z!(Z6y*HUW~orPP|ZyUuox;v#CVRTChQX=V3x*K71O=_YbIbg_;1_1#PBsaRH8ze@z z3L}PqNcisk2e#|lzSr}8?sK2>IpGpQ-&Jg?RvNpa^7BMc2qGS+hA-7j}!d>s4tz&$JzWg8Cq0^f%a zNT>*V2AKgLz+Bq}+M9ix1tQs{p8y2E(n%9`w<^~+n;WO=Z?TyO{|qvtmfxqG?x!&S z2k27p2?aTHh|`N{u$li=wnkvhMz{NzTfN_+3Ln<&d9d*#*8=;V%dFrQi=dPCw6o3(Dl=mg>M|9;E;$gtK5f%B_8_XPUL2?Fne-$}XSD7m zTI*LF^SLV=h8B{+;XHlI6YEQV^x zL}t6D@ZF}xPfin|mbW)#Ta#Qwsl|=qRvja^!@Y5&Jw$lblyY5a^(DhG}Rsz|lQpnJhPM%Q6@s#oX%TRBD-E1Apbt$hXb~;wt zbm0&;6N(x>jn?kA4g|RncFC|(U$j?wZAffYsX2aE2N^KL_&xjBk&cl*Y6-OsRR^nY z=El^ycb^?>55)%u&+fI($dNqj5?z4LqSqr-$=0_=YGWED)`!OLR~%u31X=-aUFyKa z)R>5Y3f$_oF|0RLVXOPK&nB2yW9F-D*zB>rfvWq6&sM!#N8DB$Y#V#D#5yemog=LPM31$rI{ff9qM|n z$fwi|5F=mIbnvaEL%aH=iC1pcaDx*wnlH^Hk#@(xu|{m%R5c@)6m3Xj+e=pP(6H+> z=iwcvy9V_H7p?7@oxSb)1bI{)2|7el>*mljVBd!DeGyLuOufhx+)H(ijkU!87Q%8; zEA+nX)0WslYo?EB{>R7QrblAa#!ceUINWieB97=W2?S;0GSge4S8F8xWgOj7>=F}0 zs(%hO7*&Q*iYe_n>-r%|%Ku3e8pH$>Uy}~4Z(>wT@C6-2EF5RAoh9J5TzN5nCo<03 zJY(^cCx!!D+NHUSXE zl6;g&DyzG7L-SnkBMyXMk8#!ymI+j3%C1zB5SvoUu-fVHssh#F$|s}1Vmh@SJ;J|w zBa1+vchw$YR1QwXj;TmZ2wfpzWg??09S|F^##F%mbH`f*Hk)u^;NyKk z*FhVMQs2dD=sA>{9Vbx<4Sg7`yT5qHPunJ`YCNuStM|8%3Cbq*b~uGG!{(&Hweq_D zrgZWoFD;u@#T7^XlXQFXl%l-tnPlL=L9A5%+5MtwIKYH3p_UJs;p;3IO1?iZ8&mq3 z%d94+t3VPhyF(*+|2HRf$iIz|Nj~x>B$SLzq>Z{&O4I7*9JDgcI<}q$8 zkiZxh|5G9Ka^(u@+@rd2gcrrpNI#@zKjj zr)f2XpZ>Qjix(`i?FH7}ddHFaA%x9i3B@VnxpLJhD@(r=B=0XH5-93f&Ui+5Jc;*( zZW)O0NjjavifwP7-Q{i~Y>JLn+A$7&CM#=lonz>zk>5*^sFs#?#cQAK=MR4|Y$gHj z?INFV`qBL{FmIh{E)WN^S=YaRa^}E4y*BhdghdS9=6)pX_q9t>_C zk;yn;&kwJA=dqNrn3pH`lPv_DvULBeeiv^Z_^t+Y=CEN65#~#>`UluqyBrbvYjpIv zehk+RiegWRp&@!H8zk1}`f*SJFPt!@Gc$!Ete5y^)fvi5SpH1K-~pbwv@6y%lta_Q z%eiG&JYcmj1#saY^`=+4D&^WAlcaA@E0ev_o!W6w_z0Kj@ril4R9+T~1~fjClMg#xICqKDO-je+$^fW?l2 z-@O53w*7uelB=qvx-Ye?tL=NV$Fj%gNR}!2?pwqxDH1R3*-_ z3aU&BC^}*HBcM<>&V18JR06ItAltAtbn&eGsQJr2!qUZ9&~iy=La4xBZMMA&8+{tt z>JDgt4{&Swe9k0i8}st;BDh>MmK$Trq;+!!zL@kUninb-(;(cjX%i?r*A@HWk$@Ix z(X1xc@(+#IpuW01n6F zs$!B_Ob}jFDxGxQSV+hx+sHz##QPb>d4Ktp9PqB+ML?YJ!EtQ#DUn=!Q4|+qe0J^Q zQNoEWo`=>q%nMcXFmoZ@1nuH4?8f5uz=fCRl0+8a4&yZ2T-IAn+jD%#7S zV7NEtM}eL2^V`)H__kn8fWvJVz>oE&bISd;v5>!1!gvuYht+eyu=jettYUn6g*Nar zMludwN}+VC?=O&G&?rzj4&dvx&fn5h@2#C@Li>y#)!LoPmoh$d_o}18QDZh`ldcRW z5B3xjd9`(9KS$Se2(Kk(yJNIcDC=+M|=v z+8J&zC!ZholGnb-x)j*)o78?!!WI>+>Yt6)284q@O?k6+&&#B2Ar6kqzMQ;FSRMLR zuz}{pO_e{Jiw^)p{4Ivj#>(Di=`gpv&A~Rto2}Bfs~-fu%tJ~KoMi$N$cOy60g|Nb z?od_g{_ZB-)L_fsf7r|my$w}2+vW)SWaSs6bl{I8xU#@q*poZn{mFd|1t(BhI)+xs zgxVG-nM7@Kh=t^l4m@A_6$BCa>wT^Egv-U%JN2s0!3MoHQYormk<2AmvuuNjj3)#B zdK81n`)cgA#VT>p-g1#jKOne3>1BU;@!ctc^n#$ZH6PUIg}Ye#=J}-e(oL~VRSpKe z_y&k#{usTUYmr&I#5WdEak%iRX0RwC!iRRJaGxlZ2d9OYBpq9Q0q-Ic`BA9!RlWv3 zu)8(jH;3|N~jpvQhWDr>9w6aJdLEP0daQDP6rE3c2EEIE%Y1D zm~V-xw2Lw{q2?;)bJ;SzRUQ;fC8U@Q2>^m{oR>yiK5mWI&Oq<1=yizR!5L|zA-(ln zp8g_VSBq55K<>A@zHd|oOTgi^)0ar z+fg?C=-&@NeX4+jFxJ3|wj!)*bgCgCAyMI%QxFDejmv9%ZWBU-sXsyoiN9CEqeo6p zOl%Z?{}I&xeHURkkHHi-r}84dUqq=H(1X4G_>WK)TwYnc|G8zXcoP-l8{EZRh#uO> znE1U@r)eh4em*bD_E4;1rmU;0tG=M{$&8OUt9#blFa&k&OJ{|q46s#+f8|qv!+iH< zULily&V1;ehB{%!&T_R3h3mT5GOoKTjHx@&$uxWSUtRZH$k(jyZCy|JV=TK85DAs} z)_rQ6YO!_uR~1=)`VTN@El~T(c{yxb)#h1S)(f=(!qtUb(|KPL`2{AEhWjgT2n1Jf zfsu7sX4d{5(oU`y;z#U>2(Ve_2#lehg2*RL+ZboouK&0+{m}fM-u)F?04CRcH{&F3 z4pnuge!GFM##KAT6^@h12IcEFram4%P>-vz=(&H;+y)o@)Tn=iIca{_tZeEL;1`-5 z_TZT?xFX)MkCiVJP`)jJZtUrz)B^`oQ-{a&x4FNrBDY+861!lCX6&r?dKKALzGB&d zjykS@fEnSx(p3;Bw%Kb|l&A@Dk2>u?fOmn&jc&`V<4Txp?%Xe?F^;_fiZ~gI+qxY{h#TC?WQ4z_(sne?y}98=y2JFB zn98g{{p}5$i_It~9u3^4HHO6OPbi>0(wvgqauq;JhdFvf9LDOlF*L*mZY7i4jY$i7 z;@_Q_$wjOC#de=4gSws-$!0&RZztEF_@JZA=Cum+ozk2$=izD2rF^<|{1NGzBx+d` zLfSpQyt?-EXBcIEH+FJg&s^c2NKp_f2t#j)Z{~6=mIh*h|y^h)!w z62;@@lazvDW`yuS(1c|2Wc&nS8>E`9%%s-|41P$=`HJzt&?gJGq0C0^$O4USUKD!w zAttD^0+Ev$OUXz&yJz>V$`YK)hoMpOhgabiYpO-+((KdthKJ}5NxiP;Ed2VuyNR^N z`&_@c;qvuFC!?w!%^Rp%BVl}A!%(ZQc5pG|)pObHV^7B*p{23M1U~8VW!!HEQx^9al!RLf1p=s-eisu&^n=LKxV`55mX}%0woKm@;zVmTlNK-Ok4tgj4Pn;dV$zD% z0vGIliUE7Ps3ocnvChh4Q?;PDlXlfUo((I}SZfziU{3S-tt~T!t{2tDz&xYC^VKpQ)Ts1VoLLS!F$?qh>l{Rs|?sYdpe`O4!_yKo(FI7+1vQ zEYW+uv-35jP9p3MI|jABb{c?$swJOBr&fIv=ySST2=@J`omB!`$60I!>nBm| zVHXdlzD^Xq$6qTy<*)bhmQ4&|r&s-gY}C3dVe2Qv6int2mJVF;O?1GN&!cvOBwM(T z2;WZ=FLTxV9X;Q6NOfS6RpskNYuTmRRxQYp{2q~$p!gF#gV1h2qfRJ;8dC5ov$!wF zj(NGJ7z8mOOpe3XOz>}F|47^@MM~YJs8I{PDPPgAIz!uD$Z7iT9Z?K{t&1lz?GT9-kdgdH-Ka~s`|ox0 z@r@OBXO~u!dd1X3hC$!L#HxR}ukA%7=0e145rT!nrY+<*ThUd1Mce8;S6lD#`{c$- z>D|9~ED6B?DtRGvbZo;tlsrOLE@3Rn5bjt?0OVr6Qjq79ZuU`GeU`oO9&=1^$=i*1 zI_lP@f?LN65#WE{B%8QXSSH17tImNpM$rNJwakT~r$N*1P~p{zlf|H8a=-nLypZww zm?;A%NiDLl4N1PcqsU?!mEsX8xQ^EYo?Y?&y=~*}rcHd5qO$&w7S1D8@xf@1741k9 ze^38gm3pgv(O0pUNT=0~Qguo{y44nQbu;y-Q zP{$|&zo-VF%U=7IG1Z`8Mbp{UC+Y}HL5g2X?t+GLu{u07XJs834q3wKeOFrWC`F2> zS7ZQJpIzlQb%jG|!<^mmF&QQ}wJ=1QV$-$4@-*U}>)ET_BtRDZ*xgtPYE|q<(fY4` zzp9^$wf@CKL5ez2y*T#2FwfA}HP*XF9>v#CZtX%72e?%tj|sG*4Jwm@qt0GU0Al`4 z-xHN4JZ66`E&ZicKnwCNt#e5AQT`6=0m~Rbn}yRE$E(|Xe|NA>dpA*mYh+}+rG5oS zElUG&`0H&79}d}HPb!D(;>s)qz5k9GuEN)j>w|d~;mu5LtG57U`+YKs6j*@DM{twK__y!!R z*0Wi!^7}3*36MO-Pm%v*BVeRY_dc_o5cXeW2eu!Ev+0oWX?BDBiv$fPB&Hf1N-3(Q zDqViQ&aVU*RP(qyws(954Qc@oo1g*r{xTW_^_UdtIGKQb-F?c>)N4y>z8x8_r%Lem z0NrHOkNGFzzO;3BN5iLk(WlpeMC&*w73`NV-VtbarHA63@5DL9?Kk>6Tl=u9qCfPZ zHY)hvp(6HCsUFWMj0HXyz+i(){PstmjjUb;Dso{08GsWE?(XpqYx(gMnFO$FJmwk5 z;VyHPY10-*AWu9s9~n@Zw3a|ha&_?u#`SIp9eTI$`FN4Ej$p3_7=)&Q0m0+{Rd=waG{&u!O`w zsA}HUR0^(H6zHAnkPser zU(p^0?Q^o-RN=MQ?JLcA;jf%Gm{%VpAD=_y7o^968FN?puJuI`ol7eUgtEY%`z7_$ zXVh=hk<@V)-8A7(#qj&p1mS&s+Y*dkXV$9c%rMhRo0r05x}W#|?oY0xx3^psW*_%tVGl8|Dgj;ph1-Q9QD!Fa^fC1s<2k~_hYe+1MOQGHjT2;8E zJHvEzu-CwZ_#m_b%(p(`9R{x7h6nB5rI2PB_z<~+Sb;I=z5w5Ah~g^njiPYo(|VmG z2CYXQ%80}^!p2A6unHZ&Tlqi!8}u%;IngPAKO;GjG0B$@C$U9jtcKX%3F8GL7^F$| z8qNBHQp+5p^4LDI5a77m>>jV*^g-!$nfkW(?6-wRvMz^*EAA~5N|kcnU1`>H{GBF9 zl&vpD#mnpOuhD~i401N^BJ_wJtXAB%;|R9uJnRTSXBdA{YlhPumZWR?GNV-qkfIbB zsOHq~8i;#wo6wH1`&N62TI(w0W5|`?x7_b!O)j;bG)29dCW5c(zijNtNZicAi}}^&86+G=yHH~&X!>{>}ZLuewP9&x(3wvEAI}Z!V$pD><1ASXNEijqTdrN&I z!g*gYpYj%1h~KNaG}<_gUjFm>rrtw3=`aCisG5aSiHy37*?Clg=D;#QS3KclZ&6952q3j zJoGX9$lixZftGxm>mo2rep_E`OoWsD>lwfh>=ttQrz21JYg~_*go1i!6H}rn$+$u* z%n6hbr$NE-J^Bm?74b%#S*MRDWe3?La5A^%e6@yX$wXB+V{)K6F1xPKvQ4KXXy7b= zm5K?^e{tF!$l8YMBuBAk7oA`!>ecGQC-dqUQ*`L45;ik9hW$1Q?rb%xfFDN4%8k-uUkK}qxW+QXN`k=wnw+4$> z5%Uo!!=% zY?6=f+C_3B=Rl*uo~Jc~W9)Z*#TNn^suub<%vS23Jj2=G7T&Y41lhH~h)THxIa7sY z{yHRL8FBP;dqm)^O|^}tn8cTCouu)$oD38tSSB{z`CU646$#r|ke3_K1=*LOSMG19>qoGb8t&a4cBU9%P< z8u7|PPaDQ4O!&R{Wkl;>G6Lf>)eq5jRzOf$B~fI#nSrQnNvsI+hMdze@v16$DP0>I<1F*)!Tekiw zORFhq2Tca&a_vWDGo=d^w)XI3e+3<)aNGv)F^J6h1va%cwU!q}u`If${86PCi*VZs zra}6Wm)08KG2lP3iAtJO(Yd!B#SZ5g&AYdbI~@!%58Jy={jDDX(2WAi2{ylxSAUGm zYX$Jn9{7D|yjx(4U#;R(7uUxX$4zTytc}R%z>R6oxkb6@u48`P#${qY8TKC^-K;V5 z(-kv+Aa!@u+gcH&^{nw@*I7TMR@w9=TG-Xc=CRc@94m*$k~&hhfca9vKDWPH+Zy9{ zhcPO1qZUV#wF`?lhH@x5AGr)`0FN&1vB-^vtSpAgI0vf)!gIzxP5_kYiohBT-y@0h?cJ}tmyaCg$aM) zU%t82y?ZAofyN(rWDzer27YRJ!C2pZM!8#yuC1NYx_1SfVkfLG zrcuirm(>qNfX_9!R7N6awWZ1F3WFoASnGZH@B@-Ou>v~e=QO)C9T_l7{K*T5wc>7i zuNOs8EB+`fytHLUkw`1y&%w`gTBtU_@hQsW6}|F$%a2GNM+Imzqn5Hae}A-Eb-Fm^kyLeqZE&yNsfq6 zHxeu9y-m^0Bj4FoLa#MyFz~~kF}v$u>Ave-dGnL2>XK_mgGT*BSmURq)w)y*bsl?T zmsq9YK^-MrWQSYobETQ|fKG9smD|l;KnnB~Zu-ucg%W^T!smi(@4fk`Gi+vBcFshi zuz|%?dP^Q-6s?c>c4-s#2CtG~FJcmVM3fJba2*W!!z|+G2{Tky>YIE;e!h2}cuEHB z8pV}D0NTXF-(-OUyMIFtGc^d{xExN!R4Y(5)&V>h zoZ(K$PGeo2DcFjjFAO+I2|bVnve->7->qs#uIk=Q8_)Z);*46|6b}G(fu{*)HzhaN zp1nR?f?u3?{UKqT*>vFETL%BLq`|s>plT$ZDGge}CbQL#m&NDQ~8?;vrwBCrg#{0PA{{x6Y`J)eu zE^?NKSib@EQ)fl{3azx)>t%eMyVpri-1_lOM;f z!a=)%dYHvlV*IasoPXG$f~ahlMD|!_w$0)G#OQ1C4Zlb#;&OnJFNNv#%b@(Te*oLA z1HeB3vlI59_y;9G+G1%2ad#@Y3n^+R2;NblJtpCxRus?x7-z?xww~kry18a^d94+O z<}+Tu<{%d0f!#!ZLwid*Aq*-6EzsBq?Qc zItCaAh-$u(xL+%j{G)UUCbn#8J=00{t1Ro%-rGXW|8AG5gB@^tb8_-_<~o_y(95?Tm{~2g}o_&bH3U#7|>k zVG!5gp%j(uj3`*&<*|~S@xuq`$zLHZj7{TEt_g=k6^`2QF!T1=kW^8#y3PhvNLxgL zK-y?TsOf%_*(3+z{k^^UJcpMz5Ob?P57!HPEE zvP6azMMZIcT|hves@8X7Z?|K(x3yd170$PBQg?@!mD^r#G_r4LD4ltPZZAhxL+t4m z#=CzETg{z}37<1Sy9e}oPEe^mbWw@3RxXHDQaT96e%D~Xuc6{E$}NAey1k(Fa7A6x zganK&&iYSGY=ECuQRZ8nuebSoh4*;9m@D?u(ksllN#yJm0EEi^2 z9$&s@8DE&q@pn9rm!Dh-qtcT1?_rpXV_1KsQSGfPUcfh`up%igbmOIvA*w^_SD@}+ zs*a1o#sSRk`}720YaO2gFV8ma$~pE8Mxy_qTb#%a5Zu5G6$F5H`oLW~)*~1ADz02C zNF{XVXyw1Y^MPbZq#wepeZT{V^a#N*xfZ$!SZoIev(fjbm?Y+4|cM1Vr^cbwaR%nuKkrTS{PZ4%WiM-+qlm?i*@W&V1NMvdcD zmqEcLdoAz87acm8l~UNuiiY+H9;VPpT0^B>DE0zzvTZPc}9W~aqTvnJkM!2 z%-m#*BoSIKoz94DPc_<^c~51Uup4Ek7nv|$62}>o?o1~zblXfb${duDVngVzvSlF) z6f3L|Zi#SxKN>$Hdl>%yuEYiI*U2tjd(^*pOsCe#0K7_$dBm3JiZ~AGN|^{{Ee|e$ z|1!vtT(nr3swf7%-BR5$2Dr|SUJR7=@eKy* z0Dl)#)d#cHJiim!1;?54r>GXw+2)WxelX1XzCZA+R9Z)K_=RO9H%BoWu`Y}hxmNSR zBAA&>d>b45!vWLIDV&^Gmh+~zM{=T7Z&I_4a77Uz5QZ#7AJ1a<#KavfF#-lRQC(5< zc;@iCC-wT+e$_LSatmc8x$oykxy5YT^X_YQ|11f3S4@^#+2@SdR<836UgFMhkKcBS@UE1PDxRXR z^6oFI>H`dYKnZ~OA*SFY6qK_NS)}pMiBu@B0lF;J_{VVOms=nMe2;tKHQbfmfEJH zcGkP~#OK_0hlRXtG7>Ni*n1dA(I8R83xU4wl_Gla92BYt zS3vZixTetP2IRwXgan}i`F2`lD|baSlO>yGdU;+qwVwm6jNJhbfA4?+mNb*6I`Nts z1__a$5TdUY^$6Rdv104y7kf$vNC+B$JgbfNEY~XrexgYA7a}fIK;uC~BIp=6m+!gB zLlGn1Ampy>WMf{!nowdg@E-uQ@GZ#G@ybf_(d9K1)LU_F0D{W`23+wc;|8A<{Tg6{ zuDaqTZ6~elA1(LXl;qxi(hGWVgL#A#(@f_*Hw$iQ7?HkjyzUkw7Ut)g9uyUSx*VzC z>uAN`h<7Na(X(W~CQ?qhwmiohS;AV!bG|nr^XF4R@b)KWjYa8MfUy>sa7_tsuoWHONcbLNF<3q+MAVMXASWJp6ekH-1#z;0~9^6V@r9Yo3ihOO9{GTPG~K@)?&; zRMXTlAyAP2Mej2+`B|XQtE2bj>=4DtUe9N7dtQRT=%Z8re*g&z95b~@6V-0zw#NHm z&nj-rwsu6E->Eft>1uQE8^k8&nm9dX5l8-1KB4wX<`2u5YTKsfmjA;ioovvKdIBS@ zrIAeJj>su>3pM)!EAusffpZF}_np}s$(v5d-RQG>@2`9ddF0i@(`s2$8k+uv?8h9V z1}{bVXuMqymrf+nA4sMBpHH)YZA2%Geic(>l&={CRpBaTDhwZ>w>iY^#Kdqp zhLD)x!dJgS^OqYXaB+9MaOM6O+`ZcEgv5H)bLOXM_zSVy$Dg#+66u!@&CfUVWUGT1 z2P~#UdXPdB)c(EEi`ZBPJg6GkU5WZjo3WWnugpUSkAHx-S_VnR)b>LzjNh6hLP#3aJq6tAo}mWH7Edk&yW#hwt}v?**5i{JZZBV2c>~Hk zugf5fMq}o`WCI_<((Y8;B!2_38_5^=L7-4m6`AEHf=vwu6;^6gAF zQd^k6C*J!M`*o!U!WL1R;u9T^OuY^FVB5PNu~@y~pM|X^WZLC032~h@KN(%BrBj2b zqPhim(^QRs2+Z@ZVMp&ehvFN3rqaFx98yYY(|4}yuJkJU({~)i1Ge+M`Y>hz2e|L zKwGm4n{J#98!9sXid3Cke-HSLc!I}UDs&7x_}O!EKSo_43*@a3>)j4} zdWYFFQogEd0|E!D8B*ZFa9L%0L2_EYN~%A$f4A~ZM{qIu@P3Jt|B667yIB`6CiSj% zeg$EnYKEh3K#IzS+f3&1031x=vqWD)+l5GX0l+3F<9%W=&%3`4>AUq~xZp)p(59KpG z+78v=B3FcAwhTJ??VGZPUii!3c&V?iUx+-)<`Ble3c9qzZ97VS2CR8WoYDKey?tiU zkF`3qroaK2r;%veA+d$Lpo(|iaV>4LTXQ>Y?cgsG?(;6VB>R6R)ISzCEilQS!cm5G z^^3Jd0}G3LvQgr<*9w<49LK3Ir`K#(D{|aC`Er>$uo5iJc3P%$JyiTp0V8)G)i*z= zH>6?GD!dDMPdm*2DkL_u*%|#E8+hb4ZzR5<+3Lbsqxv>1dH2gxGs3^gq+=R= z%xK_kOY|ZRlb|PoCcbp)oIlZhb8_pk^|pBdm+E~WmV#66(cnr!Z@jr!BXUN=3gqfCpSLF1JXOhLXw;AJrg(-G$%1qLB4d|6 z#%Hf8rXsWChuE{Sjac@R@|}BVF4D4#g0Um~D6&VHJ^1ASt9rF3EjXfVXyu&1`_y*= z%t6;>$gO5ImlknmxW6#|$2_x+W|?baR@gMIO~Tj8%+u}WESCIX8w+b%K*03hY2ruX zg)BTRkOIr8*Aydg9sH>33Dc>usf^(vZeT$VQ!vI_uPpOwn}_Fxg1zhHx4h#7dMD7t zk}&@zerhq(Rwt0KM}s06G!DLhp3`+1MxQpvSu+7J?G|^9Tb_L=z;h6mW16e;Qz|Y` z+1TV;=nd)x0KV)>n+n&N)lbM_z{45m>IG^VQkvS?_Pk0dn=XV{OvsT;^m$o02xKB* z?pOoQ9=~=!!*ch{FW9I~AZ-ExZvOj@%JotiY>5c=pB~T}PGzCBaf;sRSq*2u*knJ~ zU=**3e21_qeeEXID^fEO5kB=nhM#-bgjwrqnqzFu6PP3+MyHhi=y_q zv2`RXjr#>82znih8`!o@cz4m)o2GU>igPZF^~5*hqDg!(6!o*aD^{}0b{d?7Rm>Y^ z5^dy_aW7KHS86qi_7Bit-tN3H%)f*i9r6zATTM@hq%~h#Nk4`YXa2tzop`G6T!X6U zznDg}W@Z`9w~mo8`eN@NgKAS@{D@Dc>}Q3@Au9DYsdzvx`b>+S0{+D`Dpu+CP&nDp zPvSOeU93^6QScvtOE%USxi*UPdsbXl*6eugNU~W9lCx(6i{V(kjWNXRtf=!onzU@d zdE2&HeUy|B3@{q#9(m9bSNja?Co|YU2s;S0AK1jR%g%@_Th17cbgRT0ZmD;=tavTK zJPN*&P^tDUbOFB=P9Z27^~*vc$X3}oh4J7T93SKNg^NQB!r-H#A9%2(b?rmhZFu(q zL4$=YIKl`Yb0ls6RVyg7UDrc?W%%n>s&m=6y0UTHsslzz>CI_>igocr5b_snh#Vhk z(Daw~q>u2c+2x16a_xigcDy!W+I))Pi=!`m!%sg~NC^nMdPRZFb}W~P&C1{xcX*?`J`KksxSLo)qFX@*QPgQ ze>a&n@v!@j=UDNHU%{7mAJoGp0I%%I-&-uC%XJuro*Fmv#WKErE73S^FxFogg_O>l z3x^Acb_T(Fgo*OOmjaeUACd$77oQ>g0=cDBa^F5mGFBZA8~Fm6a~C>)=6wIS(HOKj zP0SS(vv1GpLFR$#j3q3z@#KcB;N%>O1A*ifBC%WLA-+XEPa>s-?+c>eDl~OEviT={xH!}dve}1 zFI15bVqaEA^-RTpx$oJSkW67~>{KutBA*EkKbO zLAwUNSQey8b;HJ=+qE(u4ss@ZR3|{sxf7x2oQOUgbJy=pLDQU8pc$EmsSl7lJ%FOG zxEMc--&?S;kdHvh=7dPnHR083sK?S_ZRR3^1%gP1y|?OHPgpjfZiyp9cbEfvQXT(y@}!bG|$@?{Mw1 zG@{yj`bBGg=4KxpEu|ZF8CQY$I$*xIGMHe}K6#?=7QzN)nJdx4lf_J|c&#DUUN-@- zV*>dciK^5%$Gv zZXJ5tV|(b)p4pOLd>ar=t%zVr+4`X%hR~7AJdX%IMzBiKu-*~gxh#46& z4O5~TbhpVbT0@eJ;$54%=N)B03s~F7PHGETe2&zIF_*YtORRjP+8-?sza77ngIe;l2KSJYkGg$IU|4ymCV>5xuALO?*ILAr#YYotby?xA~>76Iv$ z?k?$$p<4-w=li|iAHZ6}f;s2j_u2c}j!WjD6(Z(BcVFCJ`%NE;rPnMLJ+x%#H`}vl z37i2X?`K3Y=5@iLvZVVBo__2LaV$O6hsJ4Tg#*y%zkbY%$sL^(sJ<#UHp>6&cc7ibv|a(u|ID>GJrYuYwTNFwY2TDdJ&UR zrbj1(uwS-0ChGoqP8>v4AJV*&wKeye7-qM+rT)09l+V=EFZNKl^I4wWJ-Cwn+jncd zG%oY;l_mnT}I4wHcG|x-2^nh+Kj|z^iUmKLCfdrRwEO@BG)12 z4P_;LypeY^)?@IeW?2>i^)KlO<9pznikP=}t^ItQ3-HFSW>WU21vp zBEWLnq4Ib%Lnz{=S4o@lj|Uu+-g`-%91oA4$m%-_#~ zE?aYc3=G;OzhHXYah7Qa!J$Xy#2<}lgRNb8N|O=IRzy^KhpLC5)3@?x`$!V3e&1js zbAD`wGwYJcz2!=BbU>RZ+U`o+MT}9C1Wr>06w)Ji?0*7>nAvh<_ShoB=ywFu@V{7l z#z2|7{Z0&*Z|_kGQMd_vT8Rv08$nbzC-Q_>YP%YJT8izG|7)Me7}s#(;P`sei*%KF zIt{YUlLXEh3&xB@mlwiK@rXN9cDY|o+Yry34bFZ;v?*7R6sN<)dA#SJ|3H6fw_|~J ziT7L!Hh~XA0~3!cIhM_T_a;$rW`b1JE)0%;-4g33{ZhVr`@&hE%n%7QikG~TFb~^~ z)jQ>2@Lw>C12}|Wv=7xFnDe5|`K`Y-cm9Z6xPk>bxgsC9BfUwbEwH=haXT-A?k(U$ z&v`(SqSLV$K=cAm218N7ngs~YW$by-;~Xe-)Ry(lXxQf$=obCh73Zdl@wq|I`z63N5C+#Y8MWAv)syMC7Wo_~N>>uDvn#T$Vu_g&A4pXsQH zjbQ0qB!NNH`$XoX6}o7>5vG_^TOg|JyzT4kZGk(Rwo>5+j=UgC&%ttb>HX3#F~CYo zDnW&UvpO`e|5g_FprOEyh;`LL`d5acAm2&p^OCwv2U4b5x zx1KtIS{mV({ZCqi=Ig5f3Q4Ce60tqOZbHUPu-~GSQgbN;DBSgHSKz$P7zwt-%Jtu} zJr}KV_kTWD<#0n{Y;0y|BD$P_=U5YC(Gpm({Lo10QB!$J9W{s~TIc_~-oOz0;J7(h ze48nnU(wz{87-|4CAICAMUK}9Q$>GQU;If0(*Bye zDRn9>K{{ga-Tq@~@J4igT}S6KuZrGu5bfaysi{Br_m8qO2Incl9}OreevXmPi+Ofo zRy5Cy?dU4<#a~2`%%axUaJE3wTf1(?jHLXw3n!1}RnK zkql8CVTpf310s`eYjQID!1V(uw9+F0u}wmSFFQn&Ja~|belZ)@q8ir(k@~r8Efg9x z!_2+hdx@zj3?UZD7VmC(!^UNAMne272yKS1$IHA)Qa9nOPLiq09zI_ZOFNbyw>g4Nn6o7g)|vYwcicW10E06KcxyHo<0d(D)|kJyOl@`b&-P#v}|-35vLIU$Vyga zTQcPuk``NDx6;-E^Q_mysk9A(S)kOqd&4Oumx!U1`jtL&=&u^F#0}s--#+f0TxJaP zS%+XJ3NDhZ)s#Ns?{{j6wd56T8O1IdDW=TJ1j*vcgz06YYNI=2H=;sCi|rz2S!yI78Z8YgHvrqC*I;srjSj)2zk@x3TDo3fa>8>Tf`UqbEh)M%5#Zk%+zO8Qyl0T!5Oi+b>A-~wbC{W?pH{$0qS zl-Z4}f=`RV(@s25T2;a(v?4xp=miK-YqnCLc|rH&cezQ^?1Fv%+I^+ zDR$~Mx6t^S_2<1YPy@!<|2*4m$pP%bYdgjFP4OC5WO(7k^|+;G;j^Mif0ogj+<06- zkcWd|3+GWOYx7MsdwHzPt%OVWHP6Hjq5Qb7E@7$P9yhwqs8+FXCWSq!2~wcj7Tv^L zZRtgrjM5w!n@frtOyo^*e4t-alhyI~F=!HZ2jrWU*TT(|dPD@xRpY3=0L;enx5uvq z3hc}zERRP&MXTQRRDg^_-$#w!u;syG$C4>5Gg9lX43WXBCd;fHEHdy+@Iztv-Fx&u z?JQ1BbL(D0e7T;U+5QnKWOZ$Q4u@}ZlZh@g6Otw5R+0GXsf|rWtkK7?hB0Y)i(%;A zf1r__wn3u*F`ty`?k|H!1Qy0Xo0$ zy5XX{qRVYoYDIGP4oj+=vK}H;e#w1IxQVY@B|j1_-ce8YCK>^OT`i^A$~;5XX6rpu zw$yKLSnpMqpdu&Bo2^aIwCg$Sw*n5zQIFNTI4yLV51CN-|Y3Op|>eX*qRfjyFK&YF?&%U`oK zLr|6^R}ps6mV2u+1g8;PsOMvWmx&nX2W2cxkWG)bPtuzqre;robHc)p$D^Kt$Gpqb zWP6t;U7mW^j1H$Asjf6WU3*e@(_f5v!<)B6+1jn#O?y|Au&PmQJyQWPtZAlnsO`IM zIwOxfSyL-Ev2R2yJ1wqABv`@ygsbngu(9CuF%SvZ6wOK7vepY7=0SV^G}~qb>S!o@ zm0BmdH4#UdF}E20qNuuO$S;!sW>?NuewH>zp^R`+E!J8Y<111;?qx z*If-GHikrT#E(k0+ot3*N=sFvzzpN~mNji5SODi0#jU!qyj(QAX14U0qXOX)9gRY% z@RY-LGp1(t^ew(7o?(>T$#Z@)z7suXo4i-@#hKv=vr(Jdl%8M<_}048FFlqyq?H3| z`-!n`SEIH&N+yz6N944-W~ua47=4qpEHL8)8OW}uC_mQL#XNd`3s*oqVU?fz&}aLG8Sx8Y9d z^@iK6>5q(C)D-%0*7wQEWbR~*=VtiEVphQHS@Z1#^M|`yS^~=m*RJWX#i;wS1Gs;^ zSs!r)d8m7L34Lvaq?wzWx05^JjBnSLa4j-_VQ=VvX zo7Sc4UuohZ@L;SA2kZNTG)_|f?oVaMO8e~va3tjBiM*wu?WfvFmF&E?D_(Ef+>Jrv zO3?<%g3MRMIo|tAGqxtj=&-0SvHv6M{poo2z=z1BD` zV}*LwEnOa$*?YGAh#jo1CH)4MdmRLN>XCciF8HxQl*S<9r8(KEU&!VBt7$J8!li$w zDAXNvr)}0U?E-495{*|_r!G+$@Yvu#R>lB_=o_;2b$A_0;dnGx9t_1_XIR+ z(>B zkD1b3qPZJ}UQL8)QJaP$8I~bZp^uqRrw%j!n5MV|v2|-L$(>CI3r7(sAoODI`tkll z!haxKjtJL?FJ4ll4Z506-n5C!R2D7q6DPv2uH7N9!YnEj>{%JiTKR4jP^e@<)A^0i z)Waj)TTk4)C7~9N_`EiPp4@^%lS6&XUo#Sb0 zzJrACjE^nNu(+u`YkETGr>00R#TtM8D;J!mw)(nzF~ggbdyD(8Pk%uHJzGRklu#!U zr}Fytrf8$3omG|V9%O3mQ3 zlr*3a0kRHJU~&K>^!&q#T~aO6%tfhsZ%7n(wxyJ$FiLj!$~N}gfXb|<#4*~BwbUQh z*p`-kaVu6HBAzY!t&P3riI_+M6?{ zW+OH=-d=@?v?Hk)N4~a_lqf^uBg!*e)_{D$Zul(PJ5f7(7!6lv2K!#7dMCn0^$Z`H z^8Sh47VQ(UAV52(;AJ(D9Ur=^Xyro*?m>DU3XA=KqHQ+?ebD!@Fp0I+*;koVT&TzM zPZm|wRNJ(l^Hb2;Ebm4$#wRxLfEM(BIl*q+v@jPi#A2i$~}+kZdG|pnb|JxIR}fgWHT?>h2XvL-wOlvI7J^cKk>@j(`2-$6v;8Yg z^a@yxE6^hNeB(CmY~>>PJq${*XDemGh2;sE==24K5xzW~*6XvuIg{XmXgm4g5^Ikp z(^#8$qG}9UiY^TMXb@1Jj+t0FYmoB&&fjCG&VGgi{Fn8UHxd*XD;00+o`ZiZaP?q{ z-X7|awDK2;q0b^vHl%R^E*n6e{qIq391|o`Q}?+DLOzlhE#Q6>FPC%;bf=lhK9ub} z!Q$2jiFz0kk=Q?y!c0#uvmdSZoJt-&Pd{Bx{L#i9W6oIgu<_(yGtU!6` z4QG!O9WvY(616PK;L^41q=J&Dh|g%KV*Ue_ZwF0O3MX96+{!*q*?J3)vq5pN>Njy*s0pd?hXFyvU;JprN1H@?Q^$To!hryIR z=O82S@iOen{c{r(n`#1tcnvag)VDJYPf?{xcB6KqSjG?19S*-!8>HTj29*en&>RaU zVi?9I26^rmZU`Q9UyTdEfHH}A-?#=B`}Z$~ktrUHkVq;jHiI;<4>sE;8c;1MU7m$p zt6^Im=p1+jo_Kw%a<8~N4S$|{T@Y6zcG@18tuo@7JP4vC%J|zUu`eu731xP4p*iRX zI>X=TZ{w4>XpPT}cL$jJWFY5X-<69BLbyn!{Jp$;zP4CTxx1oZ&i;guNro0AIr9s9 z6L(j}q{6{imlh8hJ&vVb@B0FVG%ED5FT`R?`0CFG)x_9s4cmWXopBsH0pIfke$-Xh zeUpR)lEB1~@6WU zFITGfiDRZseG4zfeH^ zOp6_JS+a+7Ygu082xB6NxboF%bMVd$$2`h;CWol$E!*0bDgHWVNEhF|-6#|rxlFzS z+0c=i_-C*-hF`l2YkJ$GD~K?iXt-r{gvW?cheeuq4hk?658(Whv?Oz+Q%jexR zb*TfQf3J9Uig#lMwc1h2D!6r`Td|aEs@jAuhOs_B;%E_VEXT=(jaAQkz^&+l?4nU~nXk#8xeS?iH!~Dd8 z%sOHERC$`M?JIZzKhZnHQdH4kJ03_H3Q426%Hs`nsnRvYYtC(@Wd9u-o=8d`pN9qR z9M3a(I^O?4;V(4_D!z40RUKnAsJlD)2V(XT;fM~ih+b;abh$M9%^j~0SEnm5VfIhr zFYD4mMH+?v10h#TnWd*Y->XvrMrXrN<8m$`qQ8f@e_3uF(3@*>0rUKxBfE0mOSeRI zvhNDJeb+u=!$a*_Nj?-j06k`eAqC9G>7q5lnx{TqOSLBV$547YXjXclpQw+9;ZqhmSZc?AYh+F`vT<)hNdZmi%6RoPh`_3d1qxv=Ui+^)r zES?R=GaCJ8T4)h(K;c_!V<|ZA3{^8aKO2Tv;`vL!F_lw&1eYA~YKuB^|mOO%a zBJ%#V=VT_v84M?il!Dm>L};gAo+-fvhA0*ev~)MD)fN?>|Sk+yTspt#4Ae-E{ycrvRCa>KM0k{fap64=H@-8le`^?bR-X%m@rh!wp%LOX;# zs;#+ge9$%kxuU#Bbtw81U2C@&e{S*()QS{0rGMQyZ%eaX$0P^lY_pav*c!CkB^ADb zr68$Dt;?9Vxs~Z^6X)9!So`?y2VQg7tl9Ppn-AOdAi-;<+7NrYXWtBYzt}BFnKpEx zhS+}xG!Bco+%@fN2w)X2Ttobm$nB)w-Lu6n#K0(ncCX$kpqlPQBs36W>{{b-0D917 zM+I~2ckK@j++fE1Zy-ff>=1IJ7yj-=Y(eahksA|VWKZ(0>j-O|X&oi-x8e-fnxVJKJf{``| zb%(-OMY`HnR~1s8=#h5)q|aUWZR^#HX8fXgKhOxu@1_++D1I(01Dja~Kh-3pPU|26 zFl~8a$z=#3T4B_*lNb$2Y=gSw??~8|5n(jqor*g$UD8Bc)^}N2P37S{XaH7fmY2`D zQt4BycKOT3^irzVZMCVH`hI*AI!rO6(JHUUg{V{C;*}wv4e@9-*n!x$9r0r#uirqN zq^AOk1lG9*H{wc)slaOUkGjd^P21ql4PNWY-E zc)RsAOrsW!;cPQx^2YNAwm zNR{qqnrXut*s2GCt_E1qy*_{?IU(oujC!9hByMG*rxYUhCtTc%3bgkrUg#^F+7-%E zRh9Sz4$d*bgF|GIpn%Yr-Ctw72?QoBHHderADIYOK>kU>vqWR z<_2PW1$OaEc6?mC-w4LRdde+XH(MQ}E2f^F*a27U6t;d@tzf02|9!^ zV)7K-u`cX=gsZt1sF#UcrwJ@B3_M37SP_Tf`ioyNMy2N%-`L{pfPgdms&N-o1$90@ zxIU1n<1JNjf2Ky4BXoDVvC&2l9(PK9u7_qhLxnMkU3M$nkSSJ_2G(0V7)BGSUBJWRJRKDLRts?s2?!rZ;A{Uw?4Qk5Jn3LBu(WtaPN2g=SLpHKXTMg>!JO(+U zWFDeNO>>{|t}Plnbj1p5V;?sj-~9)|Fuc_)evq4efL@gJyB~&df2p4i;N5_}8lKUb z@&fh&nlw;Xz4T*Q+qrVtulU7Al#ld7+exM@%J=eeA4G^~gU01*D`URhnrxh=Zw6xV zN6Z<>Ql!7G3lTpRQRQnld>Mu~ym{`UW&_^Mf}X`@#wi<|bi2(__*#2N!oWYL}*FX`4^V9)3uoLGwuS2FhLr zN=2+xieLUt#r4Q~!{^X6R3IB(oAKK!Z`w3UBEPGp9#XT9KbKqI9MB+6>fy337kt%F z-x6Hv>%(`8Y7Xnp2|TrC-HnJN12XA!w?e$@GUw%>g}!g1CRRVSiLmAaGz$$Ehv!;C zmxtJTDH?CIe0ipiNUE=j@;0}BT|VD#zOxaqs7M%JcmujSGQ7ak6i;J$p8e}j*~{_y z3>;L<36wl4`8u5Ljmge-HSHvJ-p6#G?UT`+0)q}qu^!KpH+ za1;g?uP)Mox32>6?G=VfaU}K^9bAl`LbL*md$JK#;(PN4Lr7d4TZJ|XmZ8gYLUY%( z1&P(zOZn|~7!s$$FB_-{iYU)-k^P|xo?(3yoQC7HA=Mz`3vKnC(jy4zPAoL~?UJ%1 zdHlGE%r?%&MYrJenf0nNBz8^Qc!5{NV&@B@?ask}PuT2mY<;wFtiC}j`77cZe8Op* z0mg*N^(_#Ft^kBaM1uesMTr)E^|`)9m}K@UX$hcg|9-;I>3(ieH0iB;-!sFKw>J~N zxT6h@9>~~HUjGjyQ-IC0uBWYb@`y$bnvLrrE)n`H!RFy6qZQyYp*54;^rRT`9w7aVhP$uCmLCve3D>%RF=(|L}x*(hC{x}wGztt_y_%|weYu}p{6rL z^9{e>RA!qP^!$7@;QC7V7I=70hPj~xOvU)#+wcXtx6;YLu8-t#L#6>lrn(n~n4ALq zZD2$*Hmd-78m4?aGg12e1|<39bMim?qfmL^K;y(nBm%Sk`Ew+X<;kCh)J(bD?EUN; z`uLRjP<<@-1zj)YxmUaZtIslZkf_+rTNUikM0t)SI9H{IGHOLuS?8uu>kK6DCP5oV zMvF=Wv|+6Xhp^=MGVHBf00x3Qi#-&B#N`aDEoHI4h1VX2|AqWB2yeoj9gtqz8|7Yz zZ>Im^J>gP^MkUUh9GfTH|LM)gDAL=b!Jy+vT9RX*lbvE%f7x6y}$M zEZqD;BuRrGc5DbU046(YO8XR^Ez*UQ=*}Tuzl-J1La$T^FocRPW3`>xR|=Hz z&BP{^2-~~MHcgZHrSG-?@e-QSJq*>mi?(AFM4C&-`tb!J% zcaumed0w)SFog{tnf=gSWz#LAk7n+?XP&fn996xxYgn>$$?T6&ro#b^9 zbN$HSffUfyajZYJP}E~y4ynz6R`GyMit&A`*WpT~$7uH?=af&+E;e)Zmj<*_KDLts z)dU0mz~1?g&3WtMd1`xvZ@Du654Ln|nh!NC8lqNodGCcCF1iK&eJh6tO$KlPdOYkw z?l#-L)bYgi+wHQ>oHvAsgacr~#6V6&C)AwGf0{d{ixQ#wEPyApKj~RdN@#L^y+B6h zs9oTe47f`79xMI>ZL);+{s+Q)5Z>$AH1w9?@1>^>am9DIZkQ)tavYu$2D+P7T4pPu zf2r(*93`Vwf)KA?h$tjo!-L)hIQ|C;_4yBEUjzxgeT!9Yi79%b|F-#EM{ z(gYmGBqti-+n%m!Gbdx-*z3lt4-=k&fsUT8{x1vr>ba%3tR7e9(yp=CUre2X9x^Yg zj?XTzyJ)^tN|S8iR34xH6gj9{Zeg-}_#-<~s&fsk;TDhAVi~z)!AEY7KCUleVf_b6`3ZbN zgA2Ks2laBpMRnd$VVP-TT*j=m<T_NamEn}>yGT&BL`?q`XH zV3re~BakCA?DcRmYOwgAAk(LJf;vHB8LuF>ByyD@)v^g(9jYJgPg0zo$m1b`Go|8U zl`;YN0X{YoA6%<@Spu;=ChC?AFE%)%1FP!8U`!7&$?_-*Vn_Ab^KaI3FP_m)E~b~_ z+@bQ+6#_$6;hUp*wmIugd23T5g8>tDJc;r(sx?E`F@kmQ;K{Dee_pCTJ5Upwv+nCtq7WFKvG+hzZorchTQw$6 zC;%Iu^S6R+!3tuIgYCqgolsynvW+GUxb#olbh#)8{qDs4jC?kq^#+8%@4{zdiJ}M= zy5!=$u{|@jWWu|4@D*td`scM$1Q+QmH!=#3!K_?b=Q&_Z9z5X?TNJiVl;9`>GYEja zxvU&`X1sspWXC#}J7291H{$J?rZ%HQNro<$lbR?tY~bYRxqs$HEJm5rRMGlczt?KH zm_ItCV6HMH-1g&|Z}rO~36>$bd=O31gEYujml_c#CSfJMowh3k>C}a!n)@YVk891{ z{EZ!42-VVP(8?_SFhputO@Aa3`GI9+Ld0LX3l)-ZZA#ldu%N122NqJxQ!gz{TQcjH zA5WXFY>2F_xH1t|E=QH>d0VLU&tVW#JD?j`!cM7+GNFvQ97%6pUwg+Njo$O8Xh3Ee zG4N>#RZO?wtTnZXW(!Mi5=3fvE=|6T(B9~pRsAa+QEa9e*V?d5aSkYn6#zT;jg5b$ z>r7Mah9QKjRbr)2t2YtSXs*BJWcGIWHr)(A%TsJslbWizODdId8R4zN;v*mrF^L;V znL%Sj=~xPZ2aUi|0)L+|lP{Kd*;IqiI$E_N2TT=y5b)QXEh7asEjJu`ChUgG_zcvL zmIp9AG7vKPixjW@-NMkqw{QGUl)8fY1S4*cTJ^EPqQ`W@Xy2}nSXF=acB@&3%nj|f zM622Wp#8UxI|&|ECcYyjqU^zKZFJpmuHkesitHcAERD!-=JlChd@l#E)6Qs*h|LjN zNy9$@7&o`&XL7XKO(@X`;v<>kKjniz`+R46iKgU^`qV${G8vl^V}=;RSsiU`BAnd| zq!ObYz#n;8H2pZ@D)^LY1J0L?6sSzpN0DRMwIrT|dkQT=@6&aXnjOGEU2x*T`Nz4* zmE#cDNoDjQeL#@W>@}8{!I8JGb1@ofr@y1+aSvA>LQggQL*!BYO-EyEb7QQT7GW9P zuN;qRWa?{rE>a~2yGTkiDL4e8mvPr{Sv0#sVk;=0ni8Kc#pCRyA zY0AA)!yEw(R-Hlft3E}Oat)j~06O`+!0+uA)a7_3tfAg1W4EDkJvBxfF+Ub3J*`SI zBz8Kv;}V?WV&MQja((tdc)^$Ce6iqXZ+fq8((o0<8$0vb7vJZ&8o11szFi$7wEU)8 zMnEZpeN@lc3@5QGZauG6FBqc#dfJv#c`fI9v!!d)HTW;LE@y0Hp9rWGjugLsv0BtD z*W$ksk)rDD8N)RK$xEw0rOK@+Tb7l14jj_Lf0{7Xy~owwd}{vIAMV z86N&quV2hVG=X+&G6wGvR~mt^KRZx9y!_*e*l5?!w(tI+{kz&QU$DNWcuWm?;Ri9B z3}AASiw=<3962%R&YEik)cQ?JY`Rc!bzq?T%cI8=U9ty8^cGyDaMaM{uR&bb~r6nrIpLOgg>D#>^KLI^B zUgV$T67~G@9cam&h&$!AyufIw&uwbW7arR*iHSj(6B+iPit-Acw@8`~&J-Hxj1QmO zglc2&=J&haa@83tSF?wf9D3eEet+R#U;NeD$)?3aV3x=JveMIz@m=?+Zmj4xRv^vm zci59Hvymjv0RFfp@Vh?Fkga*vDAgtQT$yG|)xP?w@bYxq!kF`iZ9_A__I^Fm^@7-# zLl1 z`|Gx=Qux=m@ih_ya~}qy z%vuf3C`{3YbmXbTl1Iq8!#dyjzJjI?Qi|?8AYlp*eSi8l{K=w0Q9CZ|J|rWqt`Q#X z{y(svj73NYMmTQ(ys-#c%8+=P_>Pfvb(GOVZ`es&uU6ZoNHzR9_L|k3D&0n)gQ&mU zBbIJGiDENKniKrIWSvT|2Q@}-r6u5;2t1$p?%2s)-#FjU zIiN>N3bSjr3=ZrWf|;wDSKQ=Cg-=4|iP8mzcmycChtxExbIZIM0Wb43pX7i6zcM|uPNy65kl@4mKSHfWrl1fwv(GT% z$Fc#0Y%HG_72CePdX=zs6uYrag~ZUqlAsOT?|<(rr;wDC6yKq7B@d=&T3iw#j|`Q&$4P76gUgFUe{FCL9FEJ{*X*8W^RxlJ zZM9C`FG-dsG#p4NT!Fp4)G$+BnaGPR|6RKb+RH1{M*lukFWm|=@`=||Pv{EweEI|| zjew?YED8}4K~|om{8f3?g}c*BI%K}{lX)*_-c`^do{eNMuKo&c*3mkS>+%V6@C>dB zkhQ>SsA|or(dPrtdhx}j+>g?k7w5wY z;{VQra-Q14L0%5zn4Zl$_apsheSXq_FgQAre|Aa;4x6wD(<+gde6l|ne~*@vW}}SH zdZ>1J@pnRIAI?4#L(y}vjRtR0l2je)?{MlWaSdHNN3^q0d$j^t$G0wh4; zvldIfhuoW42HN$qzr!WitwUJ!qS|-9z^w<$b_gH+0L3Y;jhSYi_{x^BXteuXo(b8p z--OnOz-A!bl(JA53%(7kELuL2Ny-hT(eiM=l~bzzR;{RzZJz zV`Kk$d7f^-yjbEu9tSPkl4TSq?YYmh02E5)C!el|D|rG;mF)frVRXT``{4Y&ho6`r ziAXz-FCeSS2yraa{A@<+i|u(1!0?55@trY?YM?4@ng|ta8Yqs$-LNuj?@L6EKobSQ zv)kh49^wZR)YBTVrkVRICK&fzE}BD%M6DTaA=E49h1q-BvjX?z1Z*_xud7}x0BB%eA?$Gc$HwE1W{nB4 z>}KgFxj4@rP74C5K#yT{B`xM9m~h9KT0ka7U;(Ru1n{?#gYP+DyB7H6txVWiH#IPi zOZ;$g;Yd?*@@JWLIIW=RzqDg1z_~lt(gR&<5j|L5h=uU+yp&<+r5XEi!kOxN9H8l4 zIG#2)QTc?rSp1dLCC5N z9`?olHH)r*>6qra9myj366dDUHVCD)WD+?2}Nz^7-p!Cm@w3}g@*O_W>n<_H)xvelxWeEq`aiUR3=r;bu*t#yJuohWRk-d$iFf*x7U z4NjQug@YzPg@4`z>=Hqk=dQgH{B>`a39YSt z_^{Hq`)2r(_}MRzpImS7Er-f6-u$-`G2JWab-fj{es5F(APxg8&+Vg2E~G}Bkhl5- zV!9E=u|{w6T^ibcKP}BUIyVqz%{FR%QBMavOg!JP*$NR_6mwUP_4OjZvPS@{#rBvX5dtoYf02Hic>(Tx zVxDbd0{j4bk#$gY4H8ZN>k}cF7e|_Tew(e~QgeY^E+@9>C&X0KfgjitwQ#iqW>?U* z)}$Zv16-kn3W1xsGTz)`O%#VvQ?rkD+>ty*X&WMV%&w%Y={LMr!S*dLzvSt116OkZ za6Qz=;7Kji`{N~j@)o8|#}|8>Ec}?I=SPgKYHj{E)&TcG-r^Z3jR^gN@jkbA`2j^t z;SZu~I!$EbOi`A@*p(VZ{tF`uHM)@>{E#%8%rthiMLl^jX@U)>vdv%3GrNYB?5zlH z_V_huqwe?78-91PGGY_?w0VA!SajuvE0HfeE>@tixi$b&+r!z|l*hog5?&v!RFm#J zLfjOhs<$*QC=%uC&(`z35Ap-?TptTA-F@`>>e$%wW0tc%oTAa1v)-cPP-CWnMf;J= zGvJXDAep=0h*DCD`HEI|xkDYf@2&>iZroLzTz-rM@B%TITC5i%A9XTR^}hH=Cn7OR z!s`XnNjraj-odSWcSh2$lr~*Hlnvb?P@oyoD`B(H?E*U6XMavsY&XOoUcS50<+%|v zxu8rD&{|*&nH*HNG`T6r;ih+c19vd@`*4ZF&&0pi(?n3CmN6FBA2e2`Ak*LLk&{Ft z2&Q}cwi72`DORR39~V|({aR`VvE^8t#o2bCgQ3>^HH!pQMoqvlE|f0=5<1fi_lOvY zR)gmBvxrXJyOi?%Qi{lDoG&HT}?MPjz0rC90X1&Uq|#)lQ3;xF1KMR?-jIEZ=|NZkjdDy z5m$n5r+yomCoZfB?rCGw2iBgY8qbGKY{t7xNOGHz*h>dfsvJ%xP7>P=pH-r@>P8zz zymytVRe}sLT$Yx?{TqfQ`gfAjNkufJv@^EvCG6gae2k5@%yR#fsPYr_{-D%#%V{!GbIdlj{1@xIcx0G-gy0gUf( zwX9L$kJ+N>%{y(jVl13HxWD{8JH6DMmQEsg&t%BjV&Bl}dEd07 z>?eH5T_8HCSBf5bYgBovaXsg}Zfnw`px`wJ?8`$Hs4a0EfzPHEZsV3x3@OVvLKem z$0eZe7K`Mpnqa3EDwMur6mBL%mYy!gOa9H@41I@~u|WHO_!mR_+L`N|%x_grooN&U z{^@^}xiq_*V&QRD^nwDEIoa7u$!|)NnMRB6vFx68GQ53w32daj01=oLVO?o*tJ0e_ z5dNchCiSJ6T-T?^>-^FI-yp9MDF|e<1Y)KZUKm#bBx^NW?u@5A-HM38e>voVpXUmi z$!fYaFK{x)l9peZh=y8Ei?ni|e40>gpAi`{6Oz_)Vmn(BG2@$-avB*zEuvmERv!sT zI@R!IgM#7%UH}W}kFFy5&-WXG1a2!fDx?&C)--m^yZ+%Pd@RswXlvprFLBIYy16NJ zJhZ4n)Hr)2HD*Dcn}hFO?w6+UXx@U{^X%wTUzPClJI$jK?Ax!#U-a&lZ2)Vl9D&W_Z z(2OS(tp^2AZcoJcw(M~6EH%)b6gSH%jbI+Dk;|%jTe=-mOlbcHib7hZHV6M<$PAwY z-O2UR{2gnrV1X>~pX|8JNdK5m<2=KRt648ZuK(26gI2qAJ?pgx%GCxx&d(hLvZ78G zq~!NqNF7cJn)Dz=4dIG5Pdt}C9Nw=h^u>LXVYHXdqWnfpPjTRvMlxL5lLp&_cA-4Tu}oEC10r`rkqq+!@GQp z6WZzzb)Yem-ix-{#(dOWyJa}nm!!^uk)Qfmjws6SHET;NrY1&dDE8?0v0#8KdAX{h z*OnWys`;X~lt#)Df}=xFamvEoIF7%Z{7jYO)3(%SfC{LVxjyn)tdI4S!%aFuV8u%p zbs{dl;h7&`3+Mi@Vo|5Rr59%%E?ql79wh)RR_|beA!fyfZN4}YbV)TKpJC<)Oo=5< zMLskNbN4XwTf4TRn*S9)JTd;naP7YPa(cI8&Zj2GkSh03yBj$~7a?;u&WVo3`fb(c z8;`nF_rz4Ec}Jd5hr<)d=j@4e5hBky{6QIyR>j#Zpioe#x9w@SX}EbCXW3-xQx*tj zs~jg*1sIZGq5%a*qHf|7!4py`=v*mxhpaqC*T41?c;2a1iaiH>-^*9fqxjZOKQYB# z9r3&o6R{x}8O->{wC8>eiJEZlhAY1rJtaHdNZ$QiebqP{xSbG$b})b@k9kFGOU5kM zGBNo`C~@p>zgz%feS`O{P}yRo+GjzI)aUcjM3pnP1-6Z=!;>rb*k%Zq< zxzDnt7uT>v_@KB^a=aTd&Zx-`B^V%xAO|3K{`Ke z1$WCPk^zh}8}_0+kJgTg{20Okq-GnZWI2S_*#$tLg7bIf8Gv?b%!e`(y+Vu#DV@kW z>R;sNRQH5IzZ^iXN{98*M|5{^g9n+c=!)=v$Na!i6KB6+*s<4`ew%x+9Dz6=Q)@hYhQxRdT;X_ zWG%6d!sh2FP(g8Y2wo&~J`$}VvAIc?gUm8kYgxpfu7x{qx}Hqr33hOzcs5>-FWe9X z^^{ZwqsgPa8a+go$zUr!aa{hx+=5f}Izx{d?_2#J1#fR2O3|#BN(}{9rZzExnO@1P z47|Un%@7hbe2JF zb!`_;aQ7m`tVhe_$do4Pa#5T}1}1bv~U)DSq=uHGl<$T*y^fUj-P13pfY808a;Y|pFHVxH=L^NC!zS+B^vm9<#rPg_qlk~LS(XB1SeHqfDhRr*q%~B_ z9ur{?)ycNM@;n*`o|&UtFAFM8o(3Mkb=>c>Jh@JAm8|D>gd#~sYn~cDz|I&_@rKcC zm!o>9Sm)Wpg>!gMqQ;^Ud4-L)xV6UkSBE@2{MK`|v7QPlO%ySb*seE~Qzi_mZfuy5 zA&ZSaLOw#NlmJ`IbI@fT*QU(F+X=~DA8_mAl1-RhYs(WK5E}d0{Q1dbnO&~UpH^N* zbZ$_mvop@OnQEWHZN!JSD(hiN4w~hmh@QfhVb+e)Jv|n(_4OzCyaT%7!wY)dn1Iij zegWoPeFry@{VtuIn~a-$a1pGahR5CZg~yX8Rg9F8^=NqA;^Q&sCXZ?h8Ye9vbbuf^ z7rB@UBBNi(7+TXwSb?=IZ8^mn{Slm^x~CAw7!x~5;cMkY|5tzx?N#cMzGYNSfSc&T z@9i$Qy=h0@Z}Qai`$H`pGUjAQU)0X-s9c$dd(lU@ZQsmP%cn zb3~tIn)6xb7}Uq|WIxqep0&yo^1RjhOTL+MtEWC2g89IARu&^B)sY?ge-&F$gVsF!|uAJKgcAETk`IR($USofb8&s9QQ zI=IuXpMNUZNepist5AOoIsN#!&9^C4;Z)(k>rz?zxcZ~2y0SCpA>+FlW~i*=A7G1? z3TOzLfN!wwHh-}fN^!-AV`g7_o4kqI*oaj=uRQ+p9IJdmvh(=ic`B7*I2`^q-rL_T zJ4VInc|(2Ms}y+#j$hDTjLY_8BACIg|M^(Y^S;Bj2cHm{86K~RkE@D)={2iOvB5uk zgWz_N`GIrgN}la+5j-xbHJm^d=YOC9##=GebxN>{hTtr$SLpWV<)LqEpP|`+ky;hy z%enE6Ig74&2y-*UNJEtefuCnIlCWbF9bV(L0^VQ%y1K%to)#9K!=j{lN^cn;M%oEH zZ#VTDOso|C2pbt`NXi{YTb+xRlpW|^!-MDN{sWc$wO^Rcd0Fs?_R^p(6^yI~;wJ0K zYmM=rN7$>6Q0LE2G>G84b7p^pp;*R_*{_U^jm=bfovSaSIvQK+n`c+8lC9G=6Ry5E zk1^xRGrl@lJJV!@zgSVMoH*MWBJ-2j?GV+|lYMrsT=3(N#32LM0q?I-WBfyOR@V{leu>FQWzh6W)QgAIpd5 z@ONIVmAf(4ow(Pwk*eEdb%Ii$kMpt^wI3_UG5+BEjJ}HtImM@y9(;Bm;-u;Iu9Wz0Kq+OVDif@GHJp8Jw zpLHo@;~m1lQuOmusF3+B^QJ@fv2FL+@xU?r_(Gi)oe;vXLv#)p;kPSTnJ8S?^H`*B z+OtH%Ia&OTG4#Aa>9F;vSh>a%5uuVLgZ?s&h@j=*;^k!%6SFootM2ip)_j`pjc+&; zF4XDF1%SJ^MEoU$y=6XRvCPk9chW@iC{JN`ck~*DlDsrlv48W^(;xMH( zD%Vs>5r54b4bzHm7BZr=nox$c5-h6R8}=IiShdL86cY3%1lyFUr8o=m@A-~;w{l`> zFblqTx3>r8s7nR<&RNDzwZxeq`lbzBRK)OV+XPy^w!jbc<9-$rdro&-bSH+0oE1b} zuHgoWoHtcgytaghjPan$|GA2dHM(o0H&o}`Yo0rDVQ)TvHV^r!=3F;a>UVtfTzvH% zfK?aj>poMNTDH^q`~h$aUkBV~*iJ{ZwitBqKyezwZND|;K)BPHG|I7JjF9$aQz&T< zt%f%V2jDBcDCl~`T9aM0@RydH^_y7Xz??uSt{i;a^;s{Kiz*)BIXBn%p|0!!XT|E} z%b!d}%int7F9}LRC1n(!aKun{%TDQ3JZD1(qxbIAO)Ybc8aT_nAvVzy$i!nvw#B?{ zI_>`V4qyRjC{C7<(?m>u?IAmqJ5z9lA0GL@C4)E?piS0BH;tl0gQp@!e%WBJC z@2VYb^EX9W=5@t`hD+polK_W^J+OkwyDrln-8_$&>gS5(wBTj>BSM=;KGoSlnaG{3 zoYQ24+RPAy4^KVpRf=w3)p?xze z{|w*D98VnHCg@ZwIlxUCSL=EDl%yAsBlx(HI;rK@D#gHwt*fAM=Ol+X+N&FFpHjz3 za0)xhtJ8BZz$U*$v}ms(on)Ep=DV%^RDN%f)-b_JsaD^k|JxwltBg$(L8)I&23%$gDd0Eg>&W(rqCCUeSm1ue^S!g|B8MhtDyv8oa=aS+UJ$yKa^Qh4?Y;sqbJx%LShp4%t+G_N z>izea8DTCBUpLR#d~}uut=8ugwd*3UNAUxV)ZfI=yv|BT80@LZZQ82obcV`W+#Un_ zgO_KBq)jN+ZT*{thMm?~KqQ)?Slg$9`&7C(dvks{hr{bets?akAJoTtQ)3G*J>F#k zNOZBy>IX{29?CAB`t!81I9``3?n*u7)>-a_N9QYvhTCdauMwB`(!YH{l8t@es>%;E zr^hIEe<#j?Qln%!KT?|W>e4<=1~6eCsBRp&qB-TQ(sBL$BaVHrCsiZ(`lu@3=tImXt!FEArV?{-W~KY( zurBCajx@+6!zjwId;XN8VcxZ_?RSCW1me4s?=>l%@1nMW8U-;kP^{=qqw$ytWVtpa zn+LL7tmmD1&HYcle|(w>%&NIiboFf8H4_QB3<$l83q5XPTm`iDyC8R-TfauimZr4A zeEg^s?}0Ib3|X&qvE*SgDlVqK$T!N2J8X2%LC8l%!;X&d528ixQ1@pm?n?MWeFyW< z%5X*&_NS?I(w9qRAxO%pi`8Tp9(bT+egqQ4q}u|OUVbdy{bSSK9Ai~S)rfkXAmtrh zQ&P5}3d3d(Wi8O2k87@ReCd{Cq%K^i#b)WiT}-)bAy)fBW3VHB07CM2FJc75k1bPf za;N&&$T!9EH~9$04I5SBF(-TcHH16lA1lu?Y91WzUqQW*Z6;z+6;baWsaEo;`{KeI z$LXN_s{fP|Q%xkgEJmD{ zcHA|S>_Um6VtaWbqz{*nYN7|JS50TP1Ddi`D`qY-$UgX2Z0fwlZ2KQbTX|@N)Yn`z z;Sm6PsON-E|F-$EH*!(xrZ7BvjEu9Rfjrrb)oe7ohx-@eIj{)l8@(EQskX45xot(x z^!OK@2D7&3z;Ea%ybvF)2!=DB^kWR`y7!x`=1k;W*j<+?F%OK5q>#*nx`eNJ{Gue8 zg6oAD8BrZ0w-@@)o*S4jSoP9<_q#*Mm<5)%|XGgb|6qHs`wa?IV~>K`(@;_W}5g@M_(`0JFOi?JsK=Y41Ji`)vZ~ z)g1?uHriO4a}+hBtOq}1TT1(Bp!c;55buAx69kL4x>Pom<9+-O^bQTz9GsTQ)yh3K zMsQKI_Bkx^z1(w<31zthHGBXN6; zJ$(i>b4C6?A{)QuWjfiL5Py&aCUSO&gf_aL1o-4mFw(|UM<7y5R55io*s%;8S^^zKPq$+q_F%RgIb zrA;%?6tf7!cHuYLKb=Ds;^GJQeeI{&dqfnUFRxKwixYqZtNwmRV#z)Uie_9Qn;{qh zSdVU;U@PV=sma;y4hQ`WYpcHkJ(l2qc-skpOyZHFZPQUZ;<|-CkMbP>0)Y~~Czzw+ z8G9TOwC6W!0AM?z(@ioP6!(f51?%$by$iUKhMe}oLb^H8Yp@L5jATu*gz6VT`Pe(l z9J__Mt0kkt_TPnej!v5w3%BTdU<;wlX(Li^2U)G$gOizF9_D|syR9qAwaW(CW3Zl# z9m(-ZOwBDWNxE*+O(_k9!STmI5I(Sys>oJ1j(6&;^k z*Ah&QqxxOa={E^fUnm2SHQ~+%E9zHbz1+<*n%`F0y5J}IXZXM9s1nC|7~A=l_Y*Ze z)=Y)uaXzZx66nO{zQB<+3Sc-0uAf^7Wh5r}7w}fh6PV^l-4s;)FXWHR1_k-)tJy~6 zf_&~YClbfx5)cnAPbApNgu^s>!1hm(ZM(Z3*oXWAQ)L+}t-a6kl;kOZ#Qz)M)j@Xf#%}(Ss51FV^jy)f zgyQ0fTGKw)UgBi^)}8b?+bPemz9l2q29j)W|L){T#FmyYYX*Kgq;sK`>(L^Rw4?oq zrtZHhp_*-wE_am_8fQH?sg(@EysjR9`xzzQaqmS22YuAuyeRRG}zB%-n1XJOr}j)NLVrT zwaYXQD$*}9ERT$g8`(DC1kkp5L%E-_ckdSTQ*%f4DJIu{gAV2B_P<-k89I9Qdn7GQ z_z@6`)S#ZFO>`Dy5d9EceKY(YNJ7@~*ad4&p8ikbSIf>w@yMzn1O4UI3E@LGUCt`Q z)#s|e*L42I`#KS9WLkVKBC3$5^~vX3xSV*kO9Sj{(h(EZ4e7MEX`A^6(1tN#EZP+8 zG*&vZ*WxTk=XPzOG8qbwCDKkC?aQPa$3`E+AsoXkbusF7E-nmxs+#o26kdGOBwwNB#pfUq0&I8yQ8-i{P>*(6)=k(AYVp1VY#x zTxlCF=wD`Nb*iZ0sYd9duL$$qawZOnS2nIScST!4fAxwMR5(%^LXON_XRQMdkKY?b zfjJ@{XTCI3x(peW|5Y9S_*tG&-5z@ODUs&ZwI4w<&C)!(X(Fjk=)!kQyAWS3t@8uE zw%??8-|*A1z{My>oadOwvW@>SAD4B$8asn!M4sVJ?tu~mnZdRmaVz$OPmnH$ zD{WACn9td@a21T#M|yU#+K@$!(tkWqdW z+G`plvRQ!jz%kzl(Bf?m4O`~<))y}uri)vfGhTPi6_XqSYDgygZ+LoM`D>Ak9GpO> z$QYy5ah)Z3Nj_p|uc|D8V>kH~G3jI3#zJH1!9q53+k$sS<08W-TpgcUB#<5pVJB8w z?8&M~7ogNR^g=h0dA<_F7uoHaxODUJY@wY^mh{%5>^6Jo_{3#S>+B@lyMSWsr=!_Y zbGl(wH8&PaCqr*WZtm3eM$w5iDh z>lSUTUzTcydd*=b`nPxBqN;*Z{Q*hcSgE@7Pp7hh(Hn{PmGYFw58fz(!+gGT*U+_f zSZ~%uLDY$~N{L^U8KM2lAHC+;X3NK3@#xAIr%X+Nrc*l)@mhV~=k%54MAW#JClaJ| zzIa6LzdnU?aQ-w7w7FZ%btr90RSKT=U(3>-Z9i|SXRj)p{dbQjD>n>Ib@<@e7V%qW z$v|r-PtMS*tzFS}loKt#H4r$~p`c`@em-mK8GTOC>}MxMmA7^uW{yO)tX!^zs+!A; zM=WGI4CCi*u6SPcUYy+Lb$*%oED*1c{@L{zumP7j4Z{EKm%VpwaqHyn#1SjPM+gV* zqQ==(Wanny`-72^6zxA(5werrjY zO1{niKt~pvT-_L2r6H3A=$3OqzA_JHOJcI*XX9|Y&l_{(TA%gKMcXTKC~KSMMd-zJ z8{3+VOr)3lWl~Fkr_o3B>W0UXZfjab^xN-V#9z#?8vKMce3o1Y(_=R%{&e^j0pg}( zyoXJ=fveZ?3);Y71yvyZ&Rsu7D}g!l7rm+AdheF`2cWiG!J;~3&MLG_tmLPubQT&a zrIZ?K&wRd7KEdyw0TlyIHXTDrObG>B-WAggJHj<8BgcdX#KEQ=Ec@4pzo98oa2Equy>Ivd!n>p ztK8Z7LGinqTsTwP2RjGi_{+aVND-$z1=U6E%&}mIKPY1i#cG5Y@-xup$4*!Q?i$2P zT}_&p=QQ41!%lD3^@^Trz~@(`gZHLWH$nybIxQ`EL@-v|1;W ztPsEnEFz%2wqAiIj>va&9iHwx0A8f+4E-H%z8n!yWY*NIqdAlLwMpGbWS&{24c-j3 zYSW&$c4z{5H$%@1t8oktBt@=(sjjzr9*YyMuo;E^3aoeqaR6^FcuaZmJ%l}rEqv%u z3wTFYuJE6HshsLdYO(GSdAjPa-Rrdh!OaoJY-fvcjRKqgjTCDNm2L3h8{->dv#G!4ntJY7KRzm_Xp*6|P zHnv=%21VPx485pNxPIfSJHNqT@kjVttrERYQ5!o6n7;MeHDq3P(;D2SBlTKmgVcUH zN%BPDjerrHudvQ+u@T_1{I-dnf ze(Mdn)S~kHvDY8_`6suPe&HS)6o8V8cH5%811W)|3G;^Av{gmg$&pL znWpz$h@jBK_kZ^TaE%<3!;0V^4cb#SL`4#+FJEC!EWl5NGeP+$AIF5C|fnX_m|;!ZLf;M3b<4sUAj9 z4RIsmumPPrt;KeeSMj=(W_+4=jjUv!2Rb8Ui=MML-%G1GaSb<(R}-(){~?fcGArOT z&QgYhknxsNgKdo^12;nNbj2UOLgL2-vNoF