From 65571bdd3eec6bec56600299001c86723e80fa87 Mon Sep 17 00:00:00 2001 From: dramanica Date: Tue, 10 Dec 2024 15:37:49 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20EvolEcol?= =?UTF-8?q?Group/tidysdm@54521008f52e37e30f934babae20a5b287280265=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- dev/articles/a0_tidysdm_overview.html | 370 ++++++++++++------ .../figure-html/autoplot_ens-1.png | Bin 58199 -> 56001 bytes .../figure-html/autoplot_models-1.png | Bin 71434 -> 68114 bytes .../figure-html/background_to_raster-1.png | Bin 23116 -> 32813 bytes .../figure-html/plot_future-1.png | Bin 36123 -> 42026 bytes .../figure-html/plot_present-1.png | Bin 64978 -> 66052 bytes .../figure-html/plot_present_best-1.png | Bin 66727 -> 62886 bytes .../figure-html/plot_sample_pseudoabs-1.png | Bin 112933 -> 66760 bytes .../figure-html/plot_thin_by_cell-1.png | Bin 54668 -> 60995 bytes .../figure-html/plot_thin_by_dist-1.png | Bin 47294 -> 54984 bytes .../figure-html/project_iberia-1.png | Bin 0 -> 56643 bytes .../figure-html/training_cv-1.png | Bin 174473 -> 94499 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 60187 -> 233279 bytes .../figure-html/unnamed-chunk-17-1.png | Bin 0 -> 216063 bytes .../figure-html/unnamed-chunk-24-1.png | Bin 37231 -> 65570 bytes .../figure-html/unnamed-chunk-34-1.png | Bin 36067 -> 41810 bytes .../figure-html/unnamed-chunk-35-1.png | Bin 0 -> 34621 bytes .../figure-html/unnamed-chunk-36-1.png | Bin 0 -> 46363 bytes .../figure-html/unnamed-chunk-37-1.png | Bin 0 -> 37328 bytes .../figure-html/unnamed-chunk-41-1.png | Bin 0 -> 42704 bytes dev/articles/a1_palaeodata_application.html | 6 +- dev/articles/a2_tidymodels_additions.html | 50 +-- .../figure-html/pdp-1.png | Bin 48698 -> 50109 bytes .../figure-html/profile-1.png | Bin 77524 -> 73626 bytes .../figure-html/vip-1.png | Bin 40590 -> 41210 bytes dev/articles/a3_troubleshooting.html | 12 +- dev/pkgdown.yml | 2 +- .../collect_metrics.simple_ensemble.html | 24 +- dev/reference/explain_tidysdm.html | 40 +- dev/reference/thin_by_cell.html | 5 +- dev/reference/thin_by_cell_time.html | 5 +- dev/reference/thin_by_dist.html | 12 +- dev/reference/thin_by_dist_time.html | 8 +- dev/search.json | 2 +- 34 files changed, 351 insertions(+), 185 deletions(-) create mode 100644 dev/articles/a0_tidysdm_overview_files/figure-html/project_iberia-1.png create mode 100644 dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-17-1.png create mode 100644 dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-35-1.png create mode 100644 dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-36-1.png create mode 100644 dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-37-1.png create mode 100644 dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-41-1.png diff --git a/dev/articles/a0_tidysdm_overview.html b/dev/articles/a0_tidysdm_overview.html index 60c80b49..44079128 100644 --- a/dev/articles/a0_tidysdm_overview.html +++ b/dev/articles/a0_tidysdm_overview.html @@ -109,7 +109,7 @@

SDMs with tidymodels#> ✖ dplyr::filter() masks stats::filter() #> ✖ dplyr::lag() masks stats::lag() #> ✖ recipes::step() masks stats::step() -#> • Search for functions across packages at https://www.tidymodels.org/find/ +#> • Use tidymodels_prefer() to resolve common conflicts. #> Loading required package: spatialsample

Accessing the data for this vignette: how to use @@ -162,13 +162,13 @@

Preparing your data
 library(sf)
 #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE
 lacerta <- st_as_sf(lacerta, coords = c("longitude", "latitude"))
-st_crs(lacerta) <- 4326

+st_crs(lacerta) <- "+proj=longlat"

It is usually advisable to plot the locations directly on the raster that will be used to extract climatic variables, to see how the locations fall within the discrete space of the raster. For this @@ -179,9 +179,9 @@

Preparing your data
 library(pastclim)
 download_dataset(dataset = "WorldClim_2.1_10m")
@@ -197,7 +197,7 @@ 
Preparing your data    -9.8 43.3))"
   )
 
-crs(iberia_poly) <- "lonlat"
+crs(iberia_poly) <- "+proj=longlat"
 # crop the extent
 land_mask <- crop(land_mask, iberia_poly)
 # and mask to the polygon
@@ -231,32 +231,81 @@ 
Preparing your data

 
 

-
Thinning step
+
Map projection
 

-
Now, we thin the observations to have one per cell in the raster (it
-would be better if we had an equal area projection…):

+
Before we start thinning the data we need to make sure that all our
+data (points and rasters) have the same geographic coordinate reference
+system (CRS) by projecting them. In some of the pipeline steps
+(e.g. thinning data, measuring areas) using an equal area projection may
+make a significant difference, especially for large-scale projects.

+
You can use the website projectionwizard.org (https://link.springer.com/chapter/10.1007/978-3-319-51835-0_9)
+to find an appropriate equal area projection for any region.

+
To define our projection within the code, we will use a proj4 string,
+which provides information on the type of projection, its parameters and
+the units of distance in which the new coordinates will be expressed (if
+you are using projectionwizard.org it will provide yo with
+the string as well).

+
In this case, we will use a Albers Equal Area Conic projection
+centred on the Iberian peninsula, with km as units. The proj4 string
+is:

 
+iberia_proj4 <- "+proj=aea +lon_0=-4.0 +lat_1=36.8 +lat_2=42.6 +lat_0=39.7 +datum=WGS84 +units=m +no_defs"

+
For rasters (maps), we use the terra function
+project to change the CRS. We pass the raster object and
+the proj4 string as arguments:

+
+land_mask <- terra::project(land_mask, y = iberia_proj4)

+
Now we need to project the data points to the same CRS as the raster.
+We will do so using the appropriate sf function:

+
+lacerta <- st_transform(lacerta, iberia_proj4)

+
Plotting the data, we will see that the shape of the land mask has
+slightly changed following the new projection.

+
+
+ggplot() +
+  geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +
+  geom_sf(data = lacerta) + 
+  guides(fill="none")

+

+

+

+
Thinning step
+

+
Now, we thin the observations to have one per cell in the raster
+(given our project, each cell is approximately the same size):

+
 set.seed(1234567)
 lacerta <- thin_by_cell(lacerta, raster = land_mask)
 nrow(lacerta)
-#> [1] 226

-
+#> [1] 233

+
+pres_data <- terra::extract(land_mask, lacerta)
+summary(pres_data)
+#>        ID      land_mask_1985
+#>  Min.   :  1   land:233      
+#>  1st Qu.: 59                 
+#>  Median :117                 
+#>  Mean   :117                 
+#>  3rd Qu.:175                 
+#>  Max.   :233

+
 ggplot() +
   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +
   geom_sf(data = lacerta) + 
   guides(fill="none")

 

-
Now, we thin further to remove points that are closer than 20km.
-However, note that the standard map units for a ‘lonlat’ projection are
-meters. tidysdm provides a convening conversion function,
-km2m(), to avoid having to write lots of zeroes):

-
+
Now, we thin further to remove points that are closer than 20km. As
+the units of our projection are m (the default for most projections), we
+use a a convenient conversion function, km2m(), to avoid
+having to write lots of zeroes:

+
 set.seed(1234567)
 lacerta_thin <- thin_by_dist(lacerta, dist_min = km2m(20))
 nrow(lacerta_thin)
-#> [1] 111

+#> [1] 112

 
Let’s see what we have left of our points:

-
+
 ggplot() +
   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +
   geom_sf(data = lacerta_thin) +
@@ -275,7 +324,7 @@ 
Thinning stephttps://doi.org/10.15468/dl.53js5z:

-
+
 library(rgbif)
 occ_download_get(key = "0121761-240321170329656", path = tempdir())
 library(readr)
@@ -284,33 +333,53 @@ 
Thinning step# keep the necessary columns
 lacertidae_background <- backg_distrib %>% 
   select(gbifID, decimalLatitude, decimalLongitude) %>%
-  rename(ID = gbifID, latitude = decimalLatitude, longitude = decimalLongitude)
+  rename(ID = gbifID, latitude = decimalLatitude, longitude = decimalLongitude)

+
In this case as well, we need to use the appropriate projection (the
+same defined before) for the background. If the projections do not
+correspond the analyses will stop giving an error message.

+
+
 # convert to an sf object
 lacertidae_background <- st_as_sf(lacertidae_background, 
                                   coords = c("longitude", "latitude"))
-st_crs(lacertidae_background) <- 4326

+
+st_crs(lacertidae_background) <- "+proj=longlat"
+lacertidae_background <- st_transform(lacertidae_background, crs = iberia_proj4)

+
#> Warning: st_crs<- : replacing crs does not reproject data; use st_transform for
+#> that

 
We need to convert these observations into a raster whose values are
 the number of records (which will be later used to determine how likely
-each cell is to be used as a background point):

-
-lacertidae_background_raster <- rasterize(lacertidae_background, land_mask, 
+each cell is to be used as a background point). We will also mask the
+resulting background raster to match the land mask of interest.

+
+lacertidae_background_raster <- rasterize(lacertidae_background,
+                                          land_mask, 
                                           fun = "count")
-
-plot(lacertidae_background_raster)

+lacertidae_background_raster <- mask(lacertidae_background_raster,
+                                     land_mask)
+ggplot() +
+  geom_spatraster(data = lacertidae_background_raster, aes(fill = count)) +
+  scale_fill_viridis_b( na.value = "transparent")

 

+
+  guides(fill="none")
+#> <Guides[1] ggproto object>
+#> 
+#> fill : "none"

 
We can see that the sampling is far from random, with certain
 locations having very large number of records. We can now sample the
 background, using the ‘bias’ method to represent this heterogeneity in
 sampling effort:

-
+
 set.seed(1234567)
 lacerta_thin <- sample_background(data = lacerta_thin, raster = lacertidae_background_raster,
                   n = 3 * nrow(lacerta_thin),
                   method = "bias",
                   class_label = "background",
-                  return_pres = TRUE)

+                  return_pres = TRUE)
+#> Warning in sample_background(data = lacerta_thin, raster = lacertidae_background_raster, : There are fewer available cells for raster 'NA' (112 presences) than the requested 336 background points. Only 9 will be returned.

 
Let’s see our presences and background:

-
+
 ggplot() +
   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +
   geom_sf(data = lacerta_thin, aes(col = class)) + 
@@ -321,7 +390,7 @@ 
Thinning step
+
 download_dataset("WorldClim_2.1_10m")
 climate_vars <- get_vars_for_dataset("WorldClim_2.1_10m")
 climate_present <- pastclim::region_slice(
@@ -339,44 +408,102 @@ 
Thinning steparticle
 on additional features of tidymodels with tidysdm.

+
And now we project the climate variables in the same way as we did
+for all previous spatial data:

+
+climate_present <- terra::project(climate_present, y = iberia_proj4)

 
Next, we extract climate for all presences and background points:

-
+
 lacerta_thin <- lacerta_thin %>%
   bind_cols(terra::extract(climate_present, lacerta_thin, ID = FALSE))

+
Before going forward with the analysis, we should make sure that
+there are no missing values in the climate that we extracted:

+
+summary(lacerta_thin)
+#>         class              geometry       bio01            bio02       
+#>  presence  :112   POINT        :121   Min.   : 7.222   Min.   : 5.920  
+#>  background:  9   epsg:NA      :  0   1st Qu.:11.556   1st Qu.: 8.822  
+#>                   +proj=aea ...:  0   Median :13.040   Median : 9.280  
+#>                                       Mean   :12.931   Mean   : 9.301  
+#>                                       3rd Qu.:14.297   3rd Qu.: 9.881  
+#>                                       Max.   :16.672   Max.   :12.124  
+#>      bio03           bio04           bio05           bio06       
+#>  Min.   :32.96   Min.   :320.6   Min.   :21.22   Min.   :-2.665  
+#>  1st Qu.:38.80   1st Qu.:424.3   1st Qu.:23.94   1st Qu.: 1.409  
+#>  Median :40.77   Median :493.5   Median :25.78   Median : 3.184  
+#>  Mean   :40.89   Mean   :491.7   Mean   :25.95   Mean   : 3.034  
+#>  3rd Qu.:43.49   3rd Qu.:558.5   3rd Qu.:27.54   3rd Qu.: 5.030  
+#>  Max.   :47.59   Max.   :667.4   Max.   :32.72   Max.   : 8.221  
+#>      bio07           bio08            bio09           bio10      
+#>  Min.   :14.74   Min.   : 1.817   Min.   :14.56   Min.   :14.57  
+#>  1st Qu.:20.78   1st Qu.: 6.940   1st Qu.:17.96   1st Qu.:18.25  
+#>  Median :23.13   Median : 8.485   Median :18.96   Median :19.02  
+#>  Mean   :22.91   Mean   : 8.616   Mean   :19.13   Mean   :19.29  
+#>  3rd Qu.:25.03   3rd Qu.:10.440   3rd Qu.:20.25   3rd Qu.:20.39  
+#>  Max.   :30.30   Max.   :17.639   Max.   :23.72   Max.   :23.87  
+#>      bio11             bio12            bio13            bio14      
+#>  Min.   : 0.8458   Min.   : 397.5   Min.   : 48.67   Min.   : 2.00  
+#>  1st Qu.: 5.8650   1st Qu.: 769.1   1st Qu.:106.65   1st Qu.:13.18  
+#>  Median : 7.5043   Median :1056.4   Median :143.07   Median :18.88  
+#>  Mean   : 7.3158   Mean   :1049.5   Mean   :146.48   Mean   :22.34  
+#>  3rd Qu.: 9.2647   3rd Qu.:1347.5   3rd Qu.:186.54   3rd Qu.:30.63  
+#>  Max.   :11.7415   Max.   :1732.6   Max.   :249.79   Max.   :51.97  
+#>      bio15           bio16           bio17            bio18       
+#>  Min.   :24.92   Min.   :128.6   Min.   : 19.38   Min.   : 25.38  
+#>  1st Qu.:40.18   1st Qu.:301.1   1st Qu.: 65.13   1st Qu.: 68.60  
+#>  Median :51.05   Median :401.9   Median : 90.20   Median : 99.58  
+#>  Mean   :47.88   Mean   :412.4   Mean   : 95.30   Mean   :105.46  
+#>  3rd Qu.:56.32   3rd Qu.:528.8   3rd Qu.:130.62   3rd Qu.:153.24  
+#>  Max.   :69.06   Max.   :695.0   Max.   :178.73   Max.   :195.92  
+#>      bio19          altitude      
+#>  Min.   :106.2   Min.   :  22.58  
+#>  1st Qu.:283.8   1st Qu.: 192.58  
+#>  Median :387.5   Median : 512.13  
+#>  Mean   :397.9   Mean   : 538.88  
+#>  3rd Qu.:528.8   3rd Qu.: 733.15  
+#>  Max.   :695.0   Max.   :1477.87

+
We can see that there are no missing values in any of the extracted
+climate variables. If that was not the case, we would have to go back to
+the climate raster and homogenise the NAs across layers
+(i.e. variables). This can be achieved either by setting the same cells
+to NA in all layers (including the land mask that we used to thin the
+data), or by interpolating the layers with less information to fill the
+gaps (e.g. cloud cover in some remote sensed data). interpolate the
+missing

 
Based on this paper (https://doi.org/10.1007/s10531-010-9865-2), we are
 interested in these variables: “bio06”, “bio05”, “bio13”, “bio14”,
 “bio15”. We can visualise the differences between presences and the
 background using violin plots:

-
+
 lacerta_thin %>% plot_pres_vs_bg(class)

-

+

 We can see that all the variables of interest do seem to have a
 different distribution between presences and the background. We can
 formally quantify the mismatch between the two by computing the
 overlap:

-
+
 lacerta_thin %>% dist_pres_vs_bg(class)
-#>      bio09      bio12      bio16      bio19      bio13      bio05      bio10 
-#> 0.43907819 0.41888524 0.41487381 0.40742724 0.40492411 0.38854703 0.38610145 
-#>      bio02      bio07      bio04      bio08      bio17      bio15      bio18 
-#> 0.35191109 0.35036167 0.32450555 0.31879785 0.28143659 0.27152095 0.25007068 
-#>      bio01      bio14      bio03      bio11   altitude      bio06 
-#> 0.24589097 0.24294699 0.18414624 0.11169528 0.07271380 0.06742951

+#>     bio19     bio16     bio12     bio13     bio02     bio15     bio07     bio04 
+#> 0.9959022 0.9362035 0.9268597 0.9140456 0.7975679 0.7452740 0.7092859 0.6983330 
+#>     bio05     bio17     bio14     bio06     bio03     bio18     bio11     bio08 
+#> 0.6646394 0.5635174 0.5631364 0.4638880 0.4473745 0.4445754 0.4186998 0.3892218 
+#>     bio09     bio10     bio01  altitude 
+#> 0.2898833 0.2812704 0.2706408 0.2580447

 
Again, we can see that the variables of interest seem good candidates
 with a clear signal. Let us then focus on those variables:

-
+
 
 suggested_vars <- c("bio06", "bio05", "bio13", "bio14", "bio15")

 
Environmental variables are often highly correlated, and collinearity
 is an issue for several types of models. We can inspect the correlation
 among variables with:

-
+
 pairs(climate_present[[suggested_vars]])

-

+

 
We can see that some variables have rather high correlation
 (e.g. bio05 vs bio14). We can subset to variables below a certain
 threshold correlation (e.g. 0.7) with:

-
+
 climate_present <- climate_present[[suggested_vars]]
 
 vars_uncor <- filter_collinear(climate_present, cutoff = 0.7, method = "cor_caret")
@@ -388,7 +515,7 @@ 
Thinning step
+
 lacerta_thin <- lacerta_thin %>% select(all_of(c(vars_uncor, "class")))
 climate_present <- climate_present[[vars_uncor]]
 names(climate_present) # added to highlight which variables are retained in the end
@@ -405,7 +532,7 @@ 
Fit the model by cross-validationgeometry is automatically replaced by X and
 Y columns which are assigned a role of coords,
 and thus not used as predictors):

-
+
 lacerta_rec <- recipe(lacerta_thin, formula = class ~ .)
 lacerta_rec
 #> 
@@ -420,7 +547,7 @@ 
Fit the model by cross-validation
-
+
 
We now build a workflow_set of different models,
@@ -437,7 +564,7 @@ 
Fit the model by cross-validationgam_formula() due to the non-standard formula notation of
 GAMs (see the help of sdm_spec_gam() for an example of how
 to do this).

-
+
 lacerta_models <-
   # create the workflow_set
   workflow_set(
@@ -466,7 +593,7 @@ 
Fit the model by cross-validationrsample object suitable to tisysdm with the
 function blockcv2rsample.

-
+
 library(tidysdm)
 set.seed(100)
 #lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5)
@@ -477,7 +604,7 @@ 
Fit the model by cross-validationWe can now use the block CV folds to tune and assess the models (to
 keep computations fast, we will only explore 3 combination of
 hyperparameters per model; this is far too little in real life!):

-
 
Note that workflow_set correctly detects that we have no
 tuning parameters for glm. We can have a look at the
 performance of our models with:

-
+
 autoplot(lacerta_models)

 

 
Now let’s create an ensemble, selecting the best set of parameters
@@ -509,9 +640,11 @@ 
Fit the model by cross-validation
-
+
 lacerta_ensemble <- simple_ensemble() %>%
   add_member(lacerta_models, metric = "boyce_cont")
+#> Warning: glm.fit: algorithm did not converge
+#> Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
 lacerta_ensemble
 #> A simple_ensemble of models
 #> 
@@ -529,34 +662,34 @@ 
Fit the model by cross-validation#> Metric used to tune workflows:
 #> • boyce_cont

 
And visualise it

-
+
 autoplot(lacerta_ensemble)

 

 
A tabular form of the model metrics can be obtained with:

-
+
 lacerta_ensemble %>% collect_metrics()
 #> # A tibble: 12 × 5
 #>    wflow_id       .metric     mean std_err     n
 #>    <chr>          <chr>      <dbl>   <dbl> <int>
-#>  1 default_glm    boyce_cont 0.573 0.115       3
-#>  2 default_glm    roc_auc    0.775 0.0138      3
-#>  3 default_glm    tss_max    0.486 0.0337      3
-#>  4 default_rf     boyce_cont 0.709 0.0856      3
-#>  5 default_rf     roc_auc    0.794 0.00648     3
-#>  6 default_rf     tss_max    0.537 0.0363      3
-#>  7 default_gbm    boyce_cont 0.659 0.0472      3
-#>  8 default_gbm    roc_auc    0.789 0.00707     3
-#>  9 default_gbm    tss_max    0.524 0.0152      3
-#> 10 default_maxent boyce_cont 0.651 0.157       3
-#> 11 default_maxent roc_auc    0.804 0.00653     3
-#> 12 default_maxent tss_max    0.572 0.0111      3

+#>  1 default_glm    boyce_cont 0.789 0.211       2
+#>  2 default_glm    roc_auc    1     0           3
+#>  3 default_glm    tss_max    0.969 0.00942     3
+#>  4 default_rf     boyce_cont 0.845 0.0835      3
+#>  5 default_rf     roc_auc    0.978 0.0222      3
+#>  6 default_rf     tss_max    0.943 0.0469      3
+#>  7 default_gbm    boyce_cont 0.890 0.0651      3
+#>  8 default_gbm    roc_auc    0.986 0.0139      3
+#>  9 default_gbm    tss_max    0.931 0.0458      3
+#> 10 default_maxent boyce_cont 0.684 0.193       3
+#> 11 default_maxent roc_auc    0.978 0.0222      3
+#> 12 default_maxent tss_max    0.943 0.0469      3

 

 

 
Projecting to the present
 

 
We can now make predictions with this ensemble (using the default
 option of taking the mean of the predictions from each model).

-
+
 prediction_present <- predict_raster(lacerta_ensemble, climate_present)
 ggplot() +
   geom_spatraster(data = prediction_present, aes(fill = mean)) +
@@ -565,14 +698,15 @@ 
Projecting to the present  geom_sf(data = lacerta_thin %>% filter(class == "presence"))

 

 
We can subset the ensemble to only use the best models, based on the
-Boyce continuous index, by setting a minimum threshold of 0.7 for that
-metric. We will also take the median of the available model predictions
-(instead of the mean, which is the default). The plot does not change
-much (the models are quite consistent).

-
+Boyce continuous index, by setting a minimum threshold of 0.6 for that
+metric (this is somewhat low, for a real analysis we would recommend a
+higher value of 0.7 or higher). We will also take the median of the
+available model predictions (instead of the mean, which is the default).
+The plot does not change much (the models are quite consistent).

+
 
 prediction_present_boyce <- predict_raster(lacerta_ensemble, climate_present,
-  metric_thresh = c("boyce_cont", 0.7),
+  metric_thresh = c("boyce_cont", 0.6),
   fun = "median"
 )
 ggplot() +
@@ -584,24 +718,24 @@ 
Projecting to the present
-
+
 lacerta_ensemble <- calib_class_thresh(lacerta_ensemble,
   class_thresh = "tss_max", 
-  metric_thresh = c("boyce_cont", 0.7)
+  metric_thresh = c("boyce_cont", 0.6)
 )

 
And now we can predict for the whole continent:

-
+
 prediction_present_binary <- predict_raster(lacerta_ensemble,
   climate_present,
   type = "class",
   class_thresh = c("tss_max"), 
-  metric_thresh = c("boyce_cont", 0.7)
+  metric_thresh = c("boyce_cont", 0.6)
 )
 ggplot() +
   geom_spatraster(data = prediction_present_binary, aes(fill = binary_mean)) +
   geom_sf(data = lacerta_thin %>% filter(class == "presence")) + 
   scale_fill_discrete(na.value = "transparent")

-

+

 

 

 
Projecting to the future
@@ -612,16 +746,16 @@ 
Projecting to the future
-
+
 download_dataset("WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m")

 
Let’s see what times are available:

-
+
 get_time_ce_steps("WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m")

 
#> [1] 2030 2050 2070 2090

 
We will predict for 2090, the further prediction in the future that
 is available.

 
Let’s now check the available variables:

-
+
 get_vars_for_dataset("WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m")

 
#>  [1] "bio01" "bio02" "bio03" "bio04" "bio05" "bio06" "bio07" "bio08" "bio09"
 #> [10] "bio10" "bio11" "bio12" "bio13" "bio14" "bio15" "bio16" "bio17" "bio18"
@@ -631,15 +765,19 @@ 
Projecting to the future
-
+
 climate_future <- pastclim::region_slice(
   time_ce = 2090,
   bio_variables = vars_uncor,
   data = "WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m",
   crop = iberia_poly
 )

+
Project the climatic raster with the same projection that we have
+been using for the analysis:

+
+climate_future <- terra::project(climate_future, y = iberia_proj4)

 
And predict using the ensemble:

-
+
 prediction_future <- predict_raster(lacerta_ensemble, climate_future)
 
 ggplot() +
@@ -657,7 +795,7 @@ 
Dealing with extrapolationtidysdm offers a couple of approaches to deal with this
 problem. The simplest one is that we can clamp the environmental
 variables to stay within the limits observed in the calibration set:

-
+
 climate_future_clamped <- clamp_predictors(climate_future, 
                                            training = lacerta_thin,
                                            .col= class)
@@ -667,7 +805,7 @@ 
Dealing with extrapolationggplot() +
   geom_spatraster(data = prediction_future_clamped, aes(fill = mean)) +
   scale_fill_terrain_c()

-

+

 
The predictions seem to have changed very little.

 
An alternative is to allow values to exceed the ranges of the
 calibration set, but compute the Multivariate environmental similarity
@@ -675,14 +813,14 @@ 
Dealing with extrapolation
 
We estimate the MESS for the same future time slice used above:

-
+
 lacerta_mess_future <- extrapol_mess(x = climate_future, 
                                       training = lacerta_thin, 
                                       .col = "class")
 
 ggplot() + geom_spatraster(data = lacerta_mess_future) + 
   scale_fill_viridis_b(na.value = "transparent")

-

+

 
Extrapolation occurs in areas where MESS values are negative, with
 the magnitude of the negative values indicating how extreme is in the
 interpolation. From this plot, we can see that the area of extrapolation
@@ -690,7 +828,7 @@ 
Dealing with extrapolation
 
We can now overlay MESS values with current prediction to visualize
 areas characterized by spatial extrapolation.

-
+
-

+

 
Note that clamping and MESS are not only useful when making
 predictions into the future, but also into the past and present (in the
 latter case, it allows us to make sure that the
@@ -728,7 +866,7 @@ 
Visualising the co
 marginal prediction. We can then plot the predictions against the values
 of the variable of interest. For example, to investigate the
 contribution of bio05, we would:

-
+
 bio05_prof <- lacerta_rec %>%
   step_profile(-bio05, profile = vars(bio05)) %>%
   prep(training = lacerta_thin)
@@ -742,7 +880,7 @@ 
Visualising the co
 
 ggplot(bio05_data, aes(x = bio05, y = pred)) +
   geom_point(alpha = .5, cex = 1)

-

+

 
It is also possible to use DALEX,to explore
 tidysdm models; see more details in the tidymodels
 additions article.

@@ -757,11 +895,12 @@ 
Repeated ensembles
+will just use two fast models to speed up the process, and use
+pseudo-absences instead of background.

+
 # empty object to store the simple ensembles that we will create
 ensemble_list <- list()
-set.seed(123) # make sure you set the seed OUTSIDE the loop
+set.seed(1234) # make sure you set the seed OUTSIDE the loop
 for (i_repeat in 1:3) {
   # thin the data
   lacerta_thin_rep <- thin_by_cell(lacerta, raster = climate_present)
@@ -776,7 +915,7 @@ 
Repeated ensembleslacerta_thin_rep <- lacerta_thin_rep %>%
     bind_cols(terra::extract(climate_present, lacerta_thin_rep, ID = FALSE))
   # create folds
-  lacerta_thin_rep_cv <- spatial_block_cv(lacerta_thin_rep, v = 5)
+  lacerta_thin_rep_cv <- spatial_block_cv(lacerta_thin_rep, v = 3, n = 5)
   # create a recipe
   lacerta_thin_rep_rec <- recipe(lacerta_thin_rep, formula = class ~ .)
   # create a workflow_set
@@ -800,7 +939,7 @@ 
Repeated ensembleslacerta_thin_rep_models <-
     lacerta_thin_rep_models %>%
     workflow_map("tune_grid",
-      resamples = lacerta_thin_rep_cv, grid = 10,
+      resamples = lacerta_thin_rep_cv, grid = 3,
       metrics = sdm_metric_set(), verbose = TRUE
     )
   # make an simple ensemble and add it to the list
@@ -809,21 +948,21 @@ 
Repeated ensembles}
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 1 of 2 resampling: default_glm
-#> ✔ 1 of 2 resampling: default_glm (226ms)
+#> ✔ 1 of 2 resampling: default_glm (161ms)
 #> i 2 of 2 tuning:     default_maxent
-#> ✔ 2 of 2 tuning:     default_maxent (7.1s)
+#> ✔ 2 of 2 tuning:     default_maxent (1.2s)
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 1 of 2 resampling: default_glm
-#> ✔ 1 of 2 resampling: default_glm (226ms)
+#> ✔ 1 of 2 resampling: default_glm (170ms)
 #> i 2 of 2 tuning:     default_maxent
-#> ✔ 2 of 2 tuning:     default_maxent (6.8s)
+#> ✔ 2 of 2 tuning:     default_maxent (1.1s)
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 1 of 2 resampling: default_glm
-#> ✔ 1 of 2 resampling: default_glm (225ms)
+#> ✔ 1 of 2 resampling: default_glm (171ms)
 #> i 2 of 2 tuning:     default_maxent
-#> ✔ 2 of 2 tuning:     default_maxent (7.4s)

+#> ✔ 2 of 2 tuning:     default_maxent (1.2s)

 
Now we can create a repeat_ensemble from the list:

-
+
 lacerta_rep_ens <- repeat_ensemble() %>% add_repeat(ensemble_list)
 lacerta_rep_ens
 #> A repeat_ensemble of models
@@ -845,16 +984,21 @@ 
Repeated ensemblesautoplot()
 function for repeated_ensemble objects.

-
We can then predict in the usual way (we will take the mean and
-median of all models):

-
+
We can then predict in the usual way. We will take the mean and
+median of all models, without filtering by performance, and plot the
+results:

+
 lacerta_rep_ens <- predict_raster(lacerta_rep_ens, climate_present,
   fun = c("mean", "median")
 )
 ggplot() +
   geom_spatraster(data = lacerta_rep_ens, aes(fill = median)) +
   scale_fill_terrain_c()

-

+

+
Note that the predictions are quite similar to the ones we obtained
+before, but the predicted suitable range is somewhat larger, probably
+because we included models that are not very good (as we did not filter
+by performance) in the ensemble.

 

   
diff --git a/dev/articles/a0_tidysdm_overview_files/figure-html/autoplot_ens-1.png b/dev/articles/a0_tidysdm_overview_files/figure-html/autoplot_ens-1.png
index 9e96e4a4aa6e5af36c598ad33b3150629a7be30e..eb1b28bf57071cad86cd7626ddcb6b45dfae4fd3 100644
GIT binary patch
literal 56001
zcmd431z1&k^ewtEPzg~1X;9qK-5{k>8x)ZS2?3Fk?#2Q{0oh1*NrQBQih?xKf`D{O
zgY=sV&$;!z_wIfF8{gaCIfBSud#zv0Ip!E+{$435$`ayH;-OF|LX4c0G75EC5`{X6
zI*SWGnF?yNgfF;;3bIo06<#~HtGwaMIU6}GdlZVs5BVP_cxu%cg}Q>mNZnL*iCr9a
zcOjV?K3eTqv~nss_u}m-oUhOPlbHfYq^5HGl`h`AD4o4=C0BdTBF!|dCz*|-}+cy^f~eO+Yjvjp^N6JlKB{I{T|L9A0JnZz`1g|
zU3_m*HNr-DsK&iaUS3{V7uSd6*Pp0J-72T1_pa?7%=hKSSk-K*$Jw_FbML_v
z=V}$n?Ck99E*5o=yprlkQy?Rx61d~JyAe`v%eKtP%G&+GpnlS+Dl8#^Gre1DLZmVs9yUd}(R5zNB
z-1Ss*n25)p4^y2Y!XV(bG0W1DekUqffujO#wud9>
z!E&@G?zWMk=Y8OaJlo#ZQujo#MBeY=DusaMf%{sbjo&NJzPz>jXCk=7W5>?&XZigz
zM6{}}FSGa5xI625A8d-OxAIynlAZVCcUgIe>2hDL(J+eH-}ktiAg)U!w(-_&`}eTv
z(5a7Z^Y(hgcrT0LDm4dNL%ZXzIY|g`drK`Jz*sBX_9eIvAD+FDYrVId?W95M?PuaO^hS^GaTCzmebI*yv86S8N&*
z?>5h@>oWFocRk^Vt)453jgy0;uT5|?r?8NxEml~?awQrH?%8wnyBf1uV5ojFtBr
z&okE=sdU;*^ZMltx+j3q3bOxyQRTpzhO_MDMXmVZQ%LUPZttN>?_fE
z{Yi><|1E56VzMABu^Y1QRafCL(GWOTZks~uzQ_$ToIO}MA%;r?yQL+Zy&DFtVL
z3-`QtL*qTSv>ca5bmK%Ev${;+R**rlv$NwfZYGI?8^@+v*Y3y=iLUt6?yo7_jpC73
zd4Gp{?+vxEGBRft`8DcBC~Zy63>a+H+y`ZS6eh9vjeo=n+w*xJdQ|9e48uB}AFe9n
z;o%`U?^oiytakt_D#xj}dw*x0-+DyUakld&jCH<<<9upyG2f1dxaZ2JGj8Lr7&jL5
zkF;UlBl;Ht-H*PiJP_T>FKndq)~WX+>JRqXxCW!ddf}|;k3!>UxP3j3RcT%Kr4sYL
zoGA2MtbP0UGjtw_H-4Aj*7w@EZh(4d+x`A-_uH$t`K*2ll|1=T*xW1hiu%U5uzIiT
zP^l%q>)In-n@^|BzbC(>KJVuto*=$6NsK%(@8edbIAAQJzRI9OuA=vSZgkSjyXeQP%1Xx}7k!oqWialDB!q35pPa4Hf>+M@YY
z%*-y#^nGTu|aazSZ%q{gvd*Ewot8bfA8-jN(U{&my|?d*L!D5B3wxtS
zwZE&D#n&UL!@d<$Mjpj2`4zpiJW)c>=x~**iz<>vqaj&SK^YZd;e!CVdhh?}EnJ9TB
zk>-Ze?9NPr#^cBD8Scfmx}s5uBgk$n8})Jz)c8g~!6OBC*K2HSJiQ-CB`A;OsN1(I
zG4IXNuA6R)i7D&I(JE?)wI=s%2%=%dxNQ$RXK$SIt9OH_h{nLfW)wbw0mP;v8EE>C
zbmJam7E(wak6X!IMdK-lHWvEtDSur$Tn+d;u8pJPw4^jtoa#1sA9uYrQs{dB_&ug?
z3~~ulYjS`Am(MC!lh9JGxr@qScT=0)S{kBC^`y6|UTrX6he72i|8)Y>Mdbabp3<90
zszY~sc~n1tJG+Iu{6U!&CBOMQJUqOO*_2@O&o9nlQ!`c4S$KJi^p?+{e7>-+d`O(I
zwhoq8P*7
z8eJpV1*PXcHf6#c?6&A1Ca1@{$!DwQb^#c1XcwMg;^fS4;5=Ly62Dl`K9Q`E(@1H-
z%gU;N&C-cf(n@apg+v>R{=D8o;}*1<=))}do^kOcN|FsQRP38KZz5aZzKT8fwpgBO
z!{R|_O259$y(fLfU&7;$P1w%d+#IEdL&k{Lo~7lFLTTMfhY(fnhPP;B6ngvAR8`TK
zP0F&h&ZOH|Rb!hS&G{~da2IohM@Q0MMJ~>4p?^(Agomq7>`MjFtWsysFL)nqdv9*n
z9UZ)|GW^iZr5>Zk*5YpmMbwi$&9j
zxv46*d1s8m4ZH0vmGMLR75nq+ISVuMcNmkNLSu#Xr?g?xbxT2q1rNx+FS$aj@2&Gb
z64}nqhbM73!ue39>HUkrZqa{6Q;lxab35+vaJ#N$$!X!~8QMaCA;INX_G6%!kdJvvzS)>rDT1DeHQyy#w027CC35s0$p>r`$r
zD9s1-GyKDqj-lvv_2oxp)=waMUS|dr7wo;C5=1MOm2j|VBC?QEv;m=B4>D%=YtGt?
z{JKMtIsTKV#b6Xkc#-3Ry4c#cYtxo50AViI9n~V}2tzu`pb;J#YUCRRAU~qidNj{Q
zC`S&RY+ZMtj{M|S(p$H!#Z0HA!QMad-x+HpAhQh?nFPCS&Kr-kyHr1Ji=JbY*m;#2
z@ac!d{>trjDNYi+%)~@VUX%75JE})TkJ~ni5)STQH@XuJRRMp6cFgcbz{_H$JuaHx
zA{>^SPX0ldsb$lE_o~16^_@895zM@h2Z~bmZ>Zh0g)kzAMPL^a#rBnR%gZ%6t5=>)
zw?^52K7?!=hDIKYg^B5{D!2GLgyFU&5xrwbnY~m!-K(MB3y3QHU~fC7rGD%K5_P{2
z-;)#Bdg&^#_2Qa!AK>vsX=T)S>$>3kyrv&kFl{nk@i@W{7K@
zEypw2zaNkVXXjPQBjKktikIJh`i^j%BBtvdvkKNNjoHUH^zS;-jq^U-sf0C+;10-+
zd4p>JxB3x4-g=0@KLD5zMxBP?gVe$ipb9BSHOzJ{nbHnfV3srdqh5QtdTw)Rkq7r~
zEb;L!hN>=asbjx!y8zg7+h1**a;n;de5FniG>>4#+_I6ZC|;BKf=1fz$)-@MCsZiZ
z)@>ACO9d31P?y|;b*Qk=mkTql0)?34LT=eSV5R(m;Gw0y?t2osVXPVe9i?|6+~&fn
zv+oeoKmg9irzhKpziZ}I{T4w6E-EUDdz7(x%*GT(no``O9H~&D^v(G2LCMwCb^d#b
zUtYy@wE4Xg0tC06M_ki=iRki>AhtAEg2XgY+F(VA0|x}MAM9>suYOY4gq;YhZL>G&
z_8GB*jc#NaiXUvKtQ#q(cGBN%FgTZzj&?K^n0?*CZ>K3XB>NjHzAvBnp>+yfcxA>@;fN^~I}}AKuisZ)cU43-ucFX+dS$TTdjB^KXTg
z)pC1(9C_ukMb8Uyt(
z#+Lst-6MC|Vnh&!FBuB2o%IG|by7RA_LdkN(;Xp1izEeh!0YPfO^l2ku)
zdMtL{?w^ZFiJoe@<#P5?rvvv{Ps8JHZ1?XF5Zycx%@LGg-Rdy1@zZa~wL6DxvwRJFCUuvjdKMvns@yqPvQy?x2v-rktp
z7b;;qe0-`8g}W^+Eh-TE5#$GNT-XFqsDgFan7zMqa7d!zaHqKR$YqF|PNzB{bp`f6cJ}l9;g#82s
zPWYbKx8>R0g0*E+)QA5)qxoNOia`G%6MKcfS}&iVKEqiey*o1}CkHo!iCZsUgEpA4
z*EkXov#{mYL4x`ZKWE4fT#F4YvG3yJ^NNd$RU-_t_IbnO<2lNP;y#?39AM&O%PmmzfJiNLyPN8lVm-8JXZCv&~Dnxo{1r8ZtQ=--U!Ey?H}`Db)FQ
z9CoR%GYbmBMrXS8N;9vtx>|JSzzZ(+zLF%ge?bju5i}5zEz8^e71nxsdbh()qr&U|
z|3gaZWOATP**@7s?LYm1X1;)zT26_|yc8to_xvh_Z<38r?7ZDWm8*3mwsIlDQyh4{w-enLhN|JL)oKf%9^HzP6}soJ2!gf+%s~%G*dXbYu_m`UCh7v
zEXAvg0$867zi6Qzi5d8C7@3_9hB7^y{(G!WKJ%>BHh_;F_LY1Bi`{~%3_^EZh7
zpXAs7*WKyg7#JSTP&TAHv*l|Ld1MXL@9i*BGN39}U4X5CxWv3<8ZEr!Ai`eKk-V1)
z^e=N>YF2YXLa({K5H*CZqMn&q8|pnp2z(l@gvZ07{2bMDi=f{B23LW0ry;q_t)cD<
z$xm(Hky;cf-)$^1v{XN&DAGpc7EmtKP9o_K50;K4HU$!}^uI>#f
z7zpyU9gj?ouc~@_R*HVNt|~0?1~;YvD9;9T2wA*$DzdPsXv$8FnjuI10pL#3v!@`6
zepih!w5u9!Zf?e+!@|NcQ&UshJ=fRPD6`m(KRKF@km-+@t5aAbbp
zEMY_&+^AdvYv$LaET}X>bJFw|rRhV;cYW)}&>ErTa%jWMN`iW>^jz(jFmsXkUh~(7
z?giSqP-9{@y&B-QZPu9{ZA6qeI#-qO@`UrQ_MZ)#JkoiD1cuGTBjnhSUYm)9gV`X5(+
zAVZ^2lJXRLcqF^?uLH>1q7^D~l^pXdRtS2!~{n=GGJ$h6ZFt@DFrYnyAN(vAE
zQL+3qE&LL*G0CEsK#lV~JXZLr56!V&awUykxFYO*#Q_ccM$=dJ75E~T8(VGEUEx|V
zgoDbm$j{IPO;-8njs?#uV0TQ9r{EGQ5nzv*J)z^p*@Sl
zd*tcUphinhrnelfR0B1qKT9nekch)~X|g#WoNj+!;DlNN=;D&cZIm=34st+NcR_)g
zd3dk~T%~}fK3qff3i51{p``}(xCr^#JMC9L_M*QA>fvGUqXV_R64&*|mLt_#ugN(3
zdNNg}R$Z_oNFHyr!54)u(R`4_M{3+H_W!IR)iw|bk?%HXh3%w>85LE9sQWVRr|USHSe5i)$aUZTy}M-XosDx6H^XtE573NUv)lUmIw@qG
zGHZQAgF&PZ19J23_kl>+3KdYUUX3=WHVWqd`AR6X7W&fnXQ%Pem=xLIyi(C?*KQw|
zhq;;s^k$y0o|I^gCC|5yq@|@
zpu4YQhRUq(X&--HqslL2d7@c4IKmy+GICz^FNC4PA|hBx@S+S%=sklqfZ(UHuI8S0
zJ6wyX%K%u;IDj>h2mWP{i(qPUvL{pD2%+710N&~PHgOTy4+bCsB8PhJL9Rfi;n{%M
zItkXZ>1oWnoZSE)ho9{cpmKbUSD##=q-spS`Tm{n>u9<$Lr
zFFS07XD>ysrr%$nZxrC`rv9jRFz1i3j8=g_wr5a?dyp*a;D=!M_B
ztiSV{H>K!9+l0iKr)}bSUyFhDMS>>V4jt&ph^7?XepytN*
zKn<0;i7a}@m=vl)D=*S}|C7@tO>0zxi
zu#1W5f&gv1NyBIQ79<9T&jK)Kl!8{VAgO6AZ!&fv!GRQNN%#V<|9RKI@jWA#`j1%=
z!dZJyqgBwC?%%&3Qff7v1+un9ZniDrVT}`*Kc2{a!wVgpdqU}Npv>0D*AoFP1)=lr#)u0)&NUA?$o_YmEcvHTb0p<)T1
zIO2QU7IIlhL^E@8a!!YiK;&e_41#Es(t90KBeByOJK|==XuOVg`}-k@cqclwNyx|)
zL@wL)eOcI)$Aa1lk>3zE4eJ0BAK;hb24gT@s3nMdj%O7C%xZShnwf9_qzOr3Xi3qL
znZdcKKwF0+0wAA?=3O;k1G%g})VZl^9fik;6!2L1KK1pciB%?ccJ`OOe?RyYs#yK0
zBve3=7Zs-7GEtvT;6fb$LFEWAkurit+(R?Z?L{PoqMt|72OZy}H^qDvY)+>$>c`&J
z8^qne%+e1iwr0!GsKD^08>8p{h
z-*y#>E}QA-shOEZoy!EcZQQa8tRr58X~r$#NEYju0VK&#H)^eT<^;}PAPlr@Ch%hy
z@x?l`V8Es$Q0m$2H*P%m^pIdGhDF8g?kF-4l2Ss{aInVMe5G
zzXHazk$SY~-^i)m9}yNtYX1W$1x1&%xmTLZkpY0p!*f`hB8kmEG3?0f^*{m_I-qP)=8jbC?R#
z$nriqEb-b2mDAU(zj);Ri2OVz>eyU^Le0NK6<-GWALf&Vld~UmD2Ls-bPbClt6>pL
z*YyaUu7N3>57=f6+vzF(-689N4>!RgU{kU)W+OD_Xbt)haQfb1jtHoU5wz|DT94mx
zz9-V?I>fHN)!);v?1Z}bW^?LNE01GX23dUPef)YZhc^CxIV@~)4NF&$qDR~o*f9Zn
z=YFFWuVRPS1{_*qWxT!rXTXqVqxbnE1-j*3earpn>!c*s@{YpDN>G9l^r*yPP8r+^
z%AkDbl|K36f02jaHezI0{86N)r^kU2vH9i0a5p*?WOR@lGVaC*1nLT)A}gJj^F|N1
z$|$)W`e>I~<${)$nj{2+Dpj8i8W7>8m8iO@PYdy0!
z2>t3oZ~+Rcw{Iv}8XqwOgfiUif_vq6-&$m80SJ}9_q&QSD&_<#{K6}#Vz6Rhx
z)yCyv*J^sF=~lhdy*;-zHg`u}kfOGISafhB
zanaqWP9Ey>G5N%R0BhW{^saFFFzDCwp2#CLV;WJ{Z!E*Sec*VgHe9Y20r
z=@mYai0tuxDF?QW=ohydy*OC>F2CByeKoWcRM9$S^M${*D7Ac#|D7pQSaW5q@Jf>S
zkXU}7Q-YV^1F{6$h}wvus*71!QKVZMZ9%8q)U(?H_HyjlL*!DSaAp1mL+is2&*q=$
zkYIqD7;?e;p@1|3OC83uITaLGX?-W`DzbDwMahj$Ak~C+3Cr}___!f}(%pbE{o74{
zY1j&D$_GN1ln)!7`zt)*&xQ9^3XjM$D-1i1nb~f;gp_wCidwm)0BnIb-0`Rdf}xp-
zRb}Js1p-_()nL!?hzJe$YcLFaWJ%e{8}
zC!nY-uK!}bo>CU2&;<(E%5O3;PWDsFAPBLwHS}Kx-{gyMh4(kV8rSMZ!CrV^;
zLooeb$M4Y3Fngwhe+|8fIH|(C7O_x#1pY7d?fy?9@c)AjWNGgPC>OX-q6Q#YE)xuS=MYCrQh2jJA1PB%_UO@o(kaEZj&;UpMqjDX*
zBWDqI_BQN)F49du&r|x)j^^bZP=*?ihvz61>REo*&Qa}N&C!lgTfpY%QlU~W9oNhM
zNxaClL>nr~(q9DZS)SCKCHPm+N$5xi9#l2LD687KrMa1{qytC;AY<6nR9=eOH=CCr
znQnPI`!CPO^Zcg0P8ARY`eIvJAXqE~qCPVG|Dz^L#E~MwIG%%*{m)9ivPJ4`u1Lpn
zAo4N{7IyJpbF?Hj?DXrBBJdJynz-vh{ibLj4a;Bm*h3B=pE~Fdk6C_y%%u4xBXVCb
z)Uc^V6b+au-k?6O&^v9Xwy(0`RudqVW1s!bfPA{RaU!JtmMmnhNxKTRO<@t;MyI#E
z2yZGmp}oCCjQ7H0dLg-sX4i03$I;AF1uy%Ak_H4G#H*>mS(6G3(LA6M?xA+DO+gi6
z`DH%G04nGCp3G3R8R*rOzn-DQ?=%#_EQ4+Y?^e{Knk!X>phmTvP6SR^F}-N3ArKuK{{EMDdhRYS>}1N3
zq^|tUrr%@$NOs!l=idq5u`($F+>n?D)tlGKbGq51!{wv-9&r*pejDjN@P&gh3tN~6
zW;*x}BBZ;~mGhSacz%?k?
z>-scsEyX>gi6L@%sR7xNL^L93;T-!R_5X@Om*-?x8}v?p{wXnFew7zeTtAmIc-&>m
z4EN|rf>e*LjcC-~1JLunMPy(6v>HxEHe&Z|A7k_hJqcv8WZ}E;=unx=dxc7oP&iUH
zw%=ALNwLASPEk2aWY-^BQ|4bmZEj7+SVwo$d2WOt1>q~HtbMZOuL@3GP)gc+qwV%?
zbdp2pyK+-TE2`R>Q+4ojMdM?y-B&z%o|yKNd&(N*5FAyLY$RLC68_A$E0yc8mfo{U
z4M2UF0CUV+^d{I4K{!{}*48c&SQW23DQUjKc^P%-;i>0q?QzWgCNZfK9Df{s4_{lh
z@D4SSxC)W|?x(u#+MHXXecD5wo+}BvrKYaeR8L)@g&l}Zg}j?yehJld3j+H&n|%H2
zGb3W$5mZxCYaCjwOTbwV#7byp@ZX@zx8Iu@^46aaNc@GN8IEHf=G~!*yFX!NQu(Jp{S}yMC>XQNx@2V9@IUbWTVot^+0^
zw@^>|dR0!jh?Rt;rEYhg^<}-m
z`sU}C_}~!D4(zW0`v*oD$Pdt@M;>k-Zlp`}jvgIu6PKPlb)s_2mkMFJ5z`@fYn}`}
z2&J+rzX@a+cZ4?>XAsxQzL)nk^_TDcSz*a4Ui7=o^QN-Ian%zj8K)_(SdsiTqTZ6F
z0hXhZCXvf}#T^t%mOEOm^(vbDHfv3-t*ZTbr21$!%@2u#YhXW;$6D1LIDw?i3}$X1
zSkwkzz}*J40OR~U)*F0dQTO=jz^H-7Ksd_T+Hi)3kaX?-94(dW`>{O60pO8J2M7f*
zBENQ5zF*Hhw_+dYuq3c?beRqfk*nuu8u%taP=dCRScDdXd4rkoTx(*i{4@T#1U!(y
zzgOP3xZRDAgR6EzBqID%A
zX^wmh)Lu~+@yQeS~Kh^*&yog&ZC|t?a)TUOQ(l4eyq6aO|M_(iql}cg!so*0AwTF=#0lGv&Dg?zBHIEMfY7%FxA-+y#J-LT6NWNQUV-htj7PiwkrwsA(PD
zWT{ydkfvOfLh$AXL_r143FfRL!Ma_)@DaHB3iz&P!d^BXD$PaDt#?R7AjXOsAi%LK
zR#etZd)v!`=^fxa)E?3YVrSX`5K)*hWBpcN>YDg$XHxySAxhsQe2((Or>wVB5PcJK
zL3I7e>3nj-+8`a9kY>)>J0T+HvFG9Q6RnabbY&9UI4}U?!_m;>(({CjMq(YRcc`R?
zO78-3f$ah3t4wy8K%+#-feYir7OjMyndK!4YtjsSS_J}7Pb-G4Du#cT?+RG-u{HIg
z+b33gcFv^)CfTvm2Fr3pI4aU5muUVKVtoz1Ejjh?HmV!hy-#Cyt54{jEB+~d5~bM!
zr2z*9qTBB7LO#+abO5%>a5TsRZBGQB3~(XcFo!v1NnI>%CG9z;i+AKn^`yQtqIErTXJ|_1Ce@sbUv5inGif{LkCJJRZ2kvd*
znkPSa*2l!b8>#~9pdtsTVQgx!#G$5mLWhTBXGy=_P@=v-g43Yc^aiXZQ@u}G#L%$?
z-9Yl#N~b053D@x6vN8s6ZD$D|AjEft@}>(gc3~Ye7HO$?R2UZo*
zScjQ7=je6NdAfgXitWy(OmBc{!|%E402vFDRX*hoI1pjkp^?i0L+bqICkU0?{U)1B
zxlPxCMGY0VK~>7HUJC$+E=%S(&RuG!^+7LsJ5ui-FB%$mnd$LepjBrFPHBb0XIYG|x`2_A9<)PMkObnO9zwif
zV7pte_TGy@+KyanM&9-Lzklj?1?PBHLlrleXG*k6%++f8_7FK`uwlv$EYm$^o`@I@
zdNxA+y7k&t`wot{Af%__-bXG1#GMHsC(qn&b7mcUyuQKM-I#RXE7$f8zz)IW}8~dgtz;mXIrfq8AR6HQl4e4CGoF%mydk&5F;EYU6#voIocH
zR^0Heyp^9>zD%Kwm*hrVUe-Gxbc>$eJnKu(ZJV8)IyIt^)|W$qREbNQXXWXxQihVK`UpQ$v$
zgdrcsmUgMKUDv|$y~V*5^u2uCv&dWhqj}&HzoB2chT6m5*wjTHGNGNrn%1$Q#Ld29
zy*|iW;UZs=Sw}N1(cr+9)UbYxJ)HNRaU>d-*t>CBzpMU}_1*sX4#WRhPm8xkf0E5>
z)F-(=`QUM9{yY9xm5~>}p9*Z@zd8O?lE2US&Fd7-3V!)sQ9fPbKdjG;
zkX=AtR|DuvpZqZFwS`R__@l@q1*kk5d;8~10RtZlo~zN-U%Dpq#)m23TT@e}Qy$1m
z7o;!t=j)fd_$2V-kP`4_zRNb{;{pUxL~-*lbA*3|RLXZISyHO>+ezLZb9rKw4-o~QE)I+crd
z6GUAv0n;lBn%uAHXjkKcbP>7$g?>^&8M1zUi8lmUfdw8V2M93ZyCa
zV9o$~#DTFu&i~z%PqW0F6vQhI{q3oih?Jb1*2O`jWmDS4MTpkr7mkaYn<3~=ataE(
zKWgm`I`PRk9zqMQY4>|VQ86)YV2PL6+(qLcS^WWRiOcZI*-+2xn9tCgagmHnV+w9hq^rC8A{Eu^$;n4A
zUcPKvTF%uq%L$)?=CKdZHp9{gx$?z}7pKr@^h0QW@DBHTUwrt$6)WzkE&jOtH`u)zp|8L^w`O;_(g)oe1<|12L;5$Gc@Kc`dqYpe=Z=RfkI<^pfDI1
zaq#i*KEUw>8LBKW(r2QgN;wZ!p?Opiixz$w6Bozc$cnin6G*8xQ^0sH{tc|(6!2Wh
zfkA*cw5h479H4Gs|L_$ao=Y%!GEPnc8*XAf=KKh+g8B$oT!k*_$i*9$gM6*A!o+1(
z!_V~cWep6jLi6zX#ALpk;62C+tN{pu`Up#4snQ_q+Bks{5}fE!Q0EWSdfxEbTN0d{
znz||^M1D_n^%OW{PNgYprE_1$+|t&jgs#`u!1c{;x;ZS5&_G!(1!TeE-_ZlsD2_3CdGx3UfmBh`yFAYR53=>pYv!?m*#tZ%1t6-F7YO9Hi2|
z!pL|A1lSkKnO~sw;yX0+2at!!6VQs1gKOTN?uwz0*M3kdhZ~}ZJU*VmdVDftcV*Mf87`$M|Lp
z-WTXOxky5yn$XgjYJ+>6vWB;z4&Z{KAF%C7Sn@#CQ^0mB0A$-5&EK*}X%S||N7))L
zMg?)<3s@D9B?f!9r$@ClMvw@si~_+2>Qz
z=_v5nPrjk<9q&7-DJAtHc0Y%Wk54uJz%(acFTW9l>}<3ID~vm}Pk`}{zBQ;m2vHxL
z^Nre4OJ0ms*6mEks9_Uu<8C<1KuENpF@Y^E6Iuw`?FkgMkPQlYaAfw{qxrK3xlK$=
z2q^i^qAm~<8*RK+t+#O7S)063ux}=yMWzwtxUuo^XE5g11OzTa
zq2&Mibv;x#Y?RJ$%)z&B-+b!oB%sUvHMHy9yl_gV#*GvHccBamzg&bQY}fz%3fn&XfV~UC$j}VMxjtCERU<=;F8`vPaGZ|W9CA86bn}|Z}H{4!lrxHY9YGiVdV>L?5
zdb7g5*Fx+;JuD_d{n_0;fr8@E;?0s5f*avA+zP^pZ)x)bL!NoNdCuOUgBPdJ0_@)aC*kCnHk0ecZl!>u%fD=%~|fwoi8B8|N8yg
z%7NN~ed-#$xp{Ndw$%M}tION=qZ_A5%B*^Re(T1UCa%XJHkQ9*=Ts^bKS=ImCMdAi
z{qgOEs(v8*QL1RPMfMpj*NH3ktqBrzAcGdoM+SYd8TRz>xKqkK!~4|F&#%cI4tPKX
z(MfRh>(@kNcA!eww*}SoX1p5jsUo1qVHAr#2lOlo^@dKOcF@(?+1V9$8tRoc+HGj@
zL-_!yri$@Wr!9lNX%vgoyX*AyEpqaVa#mKCN1Jh@<1uDR$FR$}rO~4_7Pz)IdNH5;zvN0IB6%1KF;-lzRZVSL*+CU!V;PJ(>UN{mv7r5nzF@&EcE>tiG|
zq>jw40{e6l<+MCv*&7LMbf72KdI%$ppMUoD>YJJ{@vf$kVrF-ye!K!ULS~3OJYgtw
ztdfzDG3H4TU_b3f?sr_}5i%(u&OTuFF{YtMEBrv?Xe%qzkLLX7qb_B7nBQy8ZPY-(
zrc-_a7;+hK%kxnZ=IK;CgZ*j!oYQ;@+vAI^+
zO$9Uw{P;l{V;d{x-uEbm&U^nNNX;Da-iNN$hr0{N4J*b9eIk78?>~Q&xbMuoM*1zP
zLHtUe%bh!AlCInFOz~W&jSp}KZ&b4Y{c!@NS@f6?oR`^gN5HP#^|~ntO%AA!$YCrK
zb^PHxt>z8_1(Qdi_r$q>Xk0i2xBQ~0_x{!u=wuTWTrlHS(p;&LA@S2BLPLd!@^@d!kTgU?95X)GYV+qYWOVr
zT9d*rsmISv`WFa~FKF&q;L5%x%wW|Y@f71+-x5&%2E(WXpQ&#?@R&9}gzcaf43{7z4SF&l%!iyDx#R*a6CLK#72
zp@}c_3Sg9k9wJ^&8HXH4I+nkpb!2k
zA0G+i^9!eNV45PK-*kWJrGXzmf@{pF3A`Uwl$S?7Q4t=~8e+JF>*eJ&`=f}_Ct%o_
zQ@0Y`uT|x=L}_SfIH?ue5RR&>s+xeF;LmXM(^C+59zuinK(QGye2AETvOn|$^a#~A
z0ABl9>DV%PH^2XOl2W8+b}QD4(Doz?)@>^&Wi8k4M9+PrB4_FbJ=xkuHgB4ROH}-{
z04rt(3a&w#{|^3SCK5cRFnOSk&cKl)ji3lv7B0iU1XJ)nPAo4chm$Sn0pm<@O8)%$
zvorUBAOaW7O9mHRcDI*I0kri<$&_?o0frkI-RoC4fFQHWvPbvc+gs6Ib8+fFJrB
zd`7*GXl~xTx#qYG=63{YQBa&qoF>GNV1M8Xw|ni%71XmUAHRM*?R~U2ilh1jjU0f|
zBP?F{rq_Ex&C6a4(r8I35g}pNa=!^hMK0ce0v3Hle-;mqXRtwutXW$n_c-nv2pyCd
zNZ&Qavh;_Pq0KJP&;8^vV=9oTsd1}_2&MLderp;%JJz8ZsD~}yUB8DegXH!
zhi&~>%3v6(F@V4TJ#NDcC#kYrymaXq@X6zFgxFdto6)J8AK~1Jw^32Apf4;*Hkek4
zC2VD7MG{I(5Ht}WMnI#zH?0)b_!H_6IBDYf+qV~BQb7!)1eEj{EbbO@1Tz2xTU+n6
z#@!$T>i?y3CIXi~*iFepC3i(gXaFVysVktp!vO5ME32zd71N)qXXp0257*b91nBY^
zZens_Bt@3!OGCprFye1Df&qI(Q%^wE)CfCt723{eYHMquD7`1XgZ4Vu)bN0_DI9|W
z*-SRCuhbnKR(XuJv}E^f`DXT`CQp2DG_bt0hoB}H0yq@1pC&*8
zESwO4;1|2Q_v`Ik?V*2P=FlTLB;>x)x%W^M^_SbqKnB-2QzCGE8?D{C)PLdBO`rUH
z&VYb`dDZn%b-2XTpjFW282PkkuU{(!#)J*{C3tj%j2KCNZMA}q-;x8?oSSLA%|+3W
z?0PQi@JdM34N`^F+t}LPgz5m$c~)GEh$G8;#W-!FBj{Z>1nyI_(jikTcpG^0o=8y#
zJG;-Yx0^ulups#6k%V*T@`AmbO
zWxH+1w|ec}L9-{jF(f3(uRI4(x)}mQMxteBfsrhPfs9^r=v*Qaa#|#R_WZfUe&0)k
zN}>)PYgqz_9+|W3da&z=k_0M)jaENX)ezjX{!wT%l1IXRaYf5i8u&wwOqzvii8jcqnG
zGMd_hwVAm-F<9tx05QTpGLrmVSeOB<|AA7=m}=sgVzX{2U0=Yo0@Cdl_CgY4VX#Sp
z=jCTtet}$qWH{JWJ^>QZkO-CZ^nxHFq?8DF@6Iv4p}BDx>?`+6?4jQimepqfnUi;A
z;XI=cV0_rGgZ}F)XHP&-)HVKk8bv}vas>)4GB~Sm?MG>GF$ps>^BUa)1Y{w!mxUf4
zeDtmYSRZV_C@Li*lMHSoB_@)U&CRb6dJEv3xW$p0p(KV$rM4XLgatT5491-mO088m
z_wN@R20}LCvEF7*w}|=$rT^vs!7Uu|y4L50(WSp@oZr8Xe0Lb0t%i
zMHG(5=rrY%larJ5@bD9-3`FLT>JehWmorHiYp!Pw`Q{;ytfR~AS-BM=ex0sTQV_ot2ZcWv?zP`RsPzV%T
zB?L%_sNH>W8r8P${I~#*6(=21Y3`+*68xjG$B(;4Mj8fi)~PM%*{PGo7#zAZDrv*l
zYj@fdkeB>Mr+7IF%Xy*Craw^tKNYh@Ocd#7I`h&eW(!~}k$|$0mdwi&`^KhgCJQPg
zzV1(2cY(_^Rm1&+t6D@=XR!D1uce2#%B%!s?QnMCL;Gxh>Je8_$hj?>Lw!d&D(B%d
z2)3l8q;v^@=KO^V^`X{z6`Yc8p@L_&{a=1VkmWfZy+1%(@IgB2Q~A(gblr5=?FoO=
z_uk%nfN(Z(b1%R_vEOA{466aEQnCbsg3QN3;9Mq?A7n_hvi)ozQAgGhGJ-5{bSPI~
zR9`VOD)`wM+X1QJp=^#S+yv%D9=;N1*~&UcJiXaNV~R((e-GJ*P7bwY8LWQP7X0*X
zr(80&Wyf?&clTZFn;Y)#eoclz;#v2aJ*l)>e3Kp_QW~lA4o@<`!YX=&A9`)3mbzqX
z#S~xAw9bXBCSv2sN4~+M_Rv|oG(Kz$a3}VQmm$yDWz_B4w`4;({&v89qPM_$z#pZVz)Q#eMjwbw&)_Wq+s
zHvz`CJl1tSc;UiU{0&K`t-Gp=OuP*5(*HuXJ4hP?=+O$$=Q49Sc1KS``ZAy|3rSV~
z#iaaZT>Gg`7WV8Hne_u6jYqz(j`;kiO@^;x!o&O`{5E#rUw{3zeD!LBs=_2}F%axF
zVZ~vD{nnj3yX#%RqFPhRAMQ5PeRF16n|-UF;FO~P!_HrgOAbEow56N7^dmYAONzOSXV6|mt!E^h8ke0)oAHexdZk6sw)I4BcaX29KDBrwVRbYG6J-Sl`s
z^MeO|w-R>fnB_&`vCO`rLWEw<=Q%q?|BL$C)8i3x*!>*18nuiM*j%|f2ZlaB(P-e-
zJ?*+NH*yoNpRm*{qA`05?|1oA;x=7?Yw0PJqO9UNYabPEj`5PT+P5XW<7#~G9pO65
z?}I0XP1PM<{G*A;_E=<_6sLX1CZkjhDvI_q&M`}%%Ug_lcST3v*Set}{e#oFu`}*{
zJ9Mu_ng%mJ+ib%6Pa##6$lV*I-uC|h$ET<1)mn_LRdkPZe90D-_GG^e9^Ap@H#8>t
z@R%TT!XqFcEhR-k1@<0*z)+<2Hcl~r?r5qBP4??;rJZj>jyP2H{1VA#SXl0IBl4BA
z-mBoKB4w>?$5Ho^wY@73OG`7LA`GePZqp~HxV(HJselnSGr&U=iU5ucF|=g{1_mkz
z0)2h&AiW*#ZCDEii`yYZr#*u4YIm`Mw(#-A77y^LCwv8k@6$`GZC|doGLt+Zlti#7
zWBLz?*s5I$i{+L3!_f_wJGe-CWO4pH3T`Kfg&pU@0V|
zl8hQ_V%4{7*)k7!+!Ik-0VpIbJh=SQNS7+Vb|wiq*r@X`$$dJ$AJisnkp+ORNEVJ3
z!%c7RRXEF&97Zjm1-gKMw~!k00F0o~tweea`XhBgv`KH;ty^)?Ws54125MUSM{OG0
z*R9z5By%#xvAG~sSi^qU;{E*&iQv(nH?r~?OJ2R^bOBZf%z$;*S&Aqrja>!VGznus
zC!g%1!zB@zKuXH>jQ)@I_Evm528#d8i}_@GzJy-sa#q%5y5dLVl(s}zuXU?;Y
z8SV^UIep58FZmEwi-D;Yz5Eda?(shHZ!3TCP{Bu@(G{1h?@2<_2e~pu;a(?R`O?(1
zL0)`hHNdNTI8@F-&GW)NhrY%Gv&m-+AY-ovuvfUYZEM9&#W$6D^aT9}Y9kNN`;Om0
zKX_2yDq=24O$z+PZ8Nd)(Z89uwr88}(WOdPTQtGZ7(><)1_hxFk-Rs%d
z?qFOs1ZhAmhwrWTNe2$l_4TprTheV-s}7_TLz@%@BtWqKN98d-S~38yG$Snve8Kpl
zz0l%hpisGl62yNwauTW4siQKE>j<<|!>8fSKCw@XIXK3c|P7HZl@S44{2*RVPK^
ztU{hwfH`c^HA3N+tWS=8yk6X>d7Nk4Q9*~=4cYdj;&L|UEz38DPROAP1yrTjG18uqtWfKw-kPW5Tvc4$pXW6%J->p!iLZg`7
zZ+_fLe0J^G+pUcBT3T9PzklEV=>B{|!;YEEL>1l*eZB<1R&2d6BA-((F%joa?cnFX
z0eQPr&c6V%ht!zRQ3AsJ*@^ydK6Z~>;Fg-2oU8!4#4dV;sj{*X`OWL=%On`74Cg5k
zh)XZ-Oq3HWma7(7QqIY``)U-slwXtu1Y8b4-TWasr^IB2g
z>P=l`-U@xIlsd&kmEuJTHxJQ;&(qnn`9+}S_Pz|O;+o$@xxeZ^KBCsv?n`vmp&U5`
zuGJmpPFn(?(w9AUn-rwE|H4s0<$+WC6Qyxe{j!5cj*Ra5@O^hRo$$Nolk8IQdj$CI
zdV0QtT;6reJ7s|ds9FXXj|4Q*xQjI%ku-3g95_ajNQ5MmklPXbaL-5w2CSN|P<{$=0?I0LK6Z+)I*0
znM>N3k^3Y;4r8u)(A}+h{zGJtGaFi#$g#*$LFHk%n*m@Rv=3{)+o`Loqnr11%AYsZ
zR8n(bVBnyP%p$x;?}j@c0N~)5p?JH}Yabe2G$Km}^RpRsD>5_%@+;3lQ05TiRFKeV
zl@x!^9|nEk4pUUX-&}y3YqXLbWUZDzXkEgpcEh#su1BEg#7@cM_IX9jMr)m`ep4S@
zR<3w(GcJ%SEh>5q?DsaPsGHI9xpwW^Rh(>skYi4P?rp8TvT#izS~{&vMQ{IIz00Dj
za^}RpuXaH~UPx^e5=to^KwE`ADr%m_fw426^}WR1(1-^1u#;pXXZC3fk}A3LZ9uIuI@x#`>UJXX|x9W#5UxB14$?sV#Svifn!EM-w|8)g0aq|W13TwEGg
z#98U}*vfm(h|{sLvhvi0?jcJ6>)J$Z#zB%=wL-BsD?1x>4OC1R)xNiNiL$aX9R(Tm
zr25t_YY`IBsftA1T;6u3nKjiZ>jJ;|Z@PVSE@T^+|5$qs-_@O)kv`Dw$2v+11y|}2
zaOF?QhRa;h0F!$R?yG*6-cBn29M)Q1K5nNkv^P
zh)$zQAR9-#DE2Nt#4kOuNC^Z8c!&Ln;u|1#q>m5gGwI{sE-D7gb{i?B5mcT?x;Q@~
zg&m1bz_!2#WuV@dmmfQKZZm=a^TFl2K$b9BbP_Y8);QKs7Zf0m8~~Y@TpU0#%%ZLC1{HV(-yA;gh5ZTQy-;N>_3S<6qx{$POuoI=LiK`wEuU5zOZuT%3XT-^JB%`
zxIqBC78b^(m31|#ep(P?<;Tzv7tqZy8@%Z4rlK5Yz=;Th6+ZKj<^z;>g0!gp31JpmKz}+~ug%8Gg9A<8FQJ-O!v)eSD
zK2z}}r26SB?I+bl+X<-~s0X0zq}S_zz6)$It=;3`9Op-YTr(k92@3*2WL&oF*ww2U
zpPir&;igyMwoV-6`U+4shmk6t8rUx?s*m)VRm9pTV0@MEiN>l2x1vtXU$C*0Zo!OF
zID>+U&-E19k`VVbn~(vgYc6zf|GrB}S^0sV-(9Sa)>r*G*H46>D|I%hj+-toMxQ@;
zBKA}TP-wGSH1Th}SL~dL*}CcTMcRBsqIY6Tgk2A>U3(~2eIB(maE7tmdZNB;#Q{&8
z*i;_+qu-sVTWot``{_Bcw1L~6L!G_1_b@iu_o(kmxBVAke|*1xd9l~m@@~zxpz@~r
zyLatmu6RUUz%d48;Dbg+JSw~_`T6+-js;rsv}OkKpHC#5M1X)(h@7Ol#FR=Q)i|a>Mgjh4%yEE(kq&1jY{r?Dp9@9OVzu
zjm2;DfDByQ4n;l&#nlgdeHT+kO_`};IUsi-j>hX(A9+@J7OEbo0bV&aJ>IG72@;bd
zRC|HzLhf47Aqx)?Zv%McE2cRJM+qM~PhMUgH5^Bw7w6-KFF8)@IURpqb98dY0|ZaS
zUOZ@G-P$$FS15YhhNdtraETY9s43mg(Ms7IxocwETAfdDXJ+^&7|$Lh_mGDVl)QXm
zQn)N|f?6iwNG*Pyq{NL>2M610bltz}0|kGJLD>PAF6aS*+&XcBb_00lW&weO;sLN?
z!y+R|M;|aTP_@JT?i=ZIa83vm=7cRgiGICbRlxkIA)e`(l%mlLNMF0!nIR@yo_T
z+~rJ;@$~q{hq0Av2Xcf)BLcRdhrM~TX36_0hPuAV#QFivuB!bHhK?32R3SKk|9(q)
z6yN*p2DvcLh2|B()gXkbE^DEdh8f&9Z{LQXjdol{h6GyVXb|cpIGK?U8(~S{OHrdESg>=p7&r_!Nh>oN)
zkf>hPMI=MSOPFEpkaPY(&(*sVo!lD|zH1|gj(x?%dek5^X{s3o8@*_$^Mp
z@Ao2+p_5J&_H7HKH3;5>^sj4re*fW-6RsD|pI7xerDYd0fQ2cSGlnN@(U@@!^q=BF
zNcQRkT_Uj!uMP=?)AsAyEoO{HENy6O)(*MEC^xI=cxfD9+qgYCRKWNjten+)dV2fe
z)>4@RXpqc)(j&wC<1F*_>V5E^n2@sfMM>s2&uU+eoCAx>sB*dOu>J_-^`n?RY$=^t`!zur7
ztjA`i8;$tuU>N#U~
zJ4^2aC}DRCtyjC*$3j+O_vas&8i})_PeBeM?KLqmF%JrY>N1c`$l)esk9J*qEv2%J#!j+
z;JQ+@P(8>C8LwUy)YYx!;NTcpL}-{%ueWP+@iY#*J}5nE!+qyYD}C@K;pv6$AKzHw
zAc+aM>%CUXKW3-g-nJ9di5Ip>(tXv?V;ihCT>jm(xhai#QAY7ZWMlUaxz_b|Y~zp-
zCJdIpYR(mZ`0xfn@@rSu9kiB0!1pEX!P$0ig$X#Q@F5UA)KYz^cW`J(F6|}s1rFal
ztftV<{c}`__t9l~A>_#t1*>pd5AgSY;r`jDeQvmMOnxeuZ^8Tp6%vzI<{gv95jra3
z)T)^>++nU5v}d1f==FZ@HKp{aX^>z+Wek#%*hEjVbOSj_rM*V`vsHoyqcYabx>{L(
zc$OlL3#<9uxzHxb)-0
zIvmr0rErw#=eg2tov?Rs&>v`dOSz)bJO^F|pes+u95g&2V7_h5P8|<4b)RnV)_XjP
z2J*Mr&MjSYrp*%6%fI2+VcH{!Jb@xKOv}!X+!Tw=2`^4bPc*@R@TP5t@6&SXEAXH=
z(@j^+5nnPQNf%gj=etKLaWz>bb?pMvk35yAe%7
z^t(ae3{i^y32AxX4R>FIg2h0cetwqjh~f>va41f2_xL$VzGBv#s3-jd(6NPw=Xg#Z
z&~-P20wnizPrf|A#eTO`hZ`&s^nijf9EP%(SoaWCrFroP(8v`yu)(;5YE1(#`{vD=
zUh#I%S)3PHY-`q<9>4$b#Ohdf-HMn#(F3z<@ADxvGB35fSwx~WWXo|sz$ku=#L5y)
zDL}$cdiWUWfe6kv?|p@rh}#e2%b*9a5D6nHA~TS_3D|t0a0?^-ul{B)=drLjv1|wl0tRe(s
zW=>Ad4w4Yno2<9hL?HYpBmjwt@$uR*!KiPHN={#xx591b96BmnyEmygzeg8I4+I*@
z73eZ5zB8i!(ybWk;lWVoE2qRg?Uvyu=h=qSuYGkTMbE&;^h?$O-~l_v*A&&3we{xP
zZi|Fh;QYd`-_(3uVhtb-DFEI>9==xB$ddZ{1dCrsi$?Bju6g|+o$h99&*`4l)_L)2
ze04#V^Fw)xh3&8o6|}U>uIQp-)VyhjcaX{xVfXSOhWmDdGc
z+A@?nJlh3xUV4gy)_X8qi7qNC7W(2Q?YH`Nzqw#Cs_gJ!-$5n%gBK5|nR))cm@@H{
ziO1G#0d@R(kW}Rsr_#QX=AaSpprDJtxNfYJIn*$Gl9Eciz&jbKy8sQvfUCFI>0qVYOH1_UHk_Sg@}+;P>leD1e-S|vs(G3+Ea$;BY!jaBwnQINg@blD
zfIb?1)ae>C-sYp8Z@V~4T3cJ&CM+#2Q`cNKhfb#>sc~wTl6q_Q)pr;JNDucp?QUPQ
zV#TJ>n(h&@ISJa;)5Cv}9gKSUO&}VfhxP_=nSP<+F`wu5^us`$X#MH}Z}=GB)w!Yx
zR5W_AF+;ES@6-pt*GJ6d6Lb*M6@>J(dhr6Vw*{|Yxd0q_W!wLwr(F6?^slWxm`MN2
zu^G!CG{;kAwg2B2#$PNEE@8XyEB-7AgVUrt>wGm*prsu{R&QLY{jx`d)Bh9
zcyRsli?*+zWNgft9yg8C&E-Hconb%13mgQI^ctib^Gi!heU{AZT;~U7&9s&-Te%yL$C$zNJrrUDp);xyL3w!wEn7pM}`krt5Lx$7GS*
zp>KpNs`kzTYNHHIwGej-ll<+e#Q(-O4}BtH9DJ;T(F(3*_58DnJ$RP&dAtbO@|8Bs`SlCS!^I0u
zxO+<3xu2bwf9%Nj;5Zt!LqOnN?#$H1EciKI1q_9NW^hmMPsgHz!}p6uy7#(PjEf)
z1NV?}u
zIcD3lI{^Q%IsZuet7$8m#@hm~(vvY4%r@Tv=Cui@&L(uBx;AlzvY$G|
zlDl>BiTw-yZUM6eF>LQr2RR1#>RAkL0iMtw^p1LP$>PfB*5`9m0Qh>shxW=DgIK*r
zP*Cva;9x$y<(`|?2~hV;Jv=lS09O(~b0VGrdwhen~=hEX&cpNKo`C9`L<
zjhkE0OgTLw$Pec&Mo>?|)HG=a`*WG%YD>_;M2|?n+h1>b4kSMS-Jm=y1QEy*9D}h8
zq$wB5{BM(|2&lc*`P0^eAqrBf-`1~ZQ>=4N+e|2-;fLRbD>RmlF8S-LLee^)r*}gc
zWoSL@rP_a8vR!)>GaaJRN&y=gN5);=tzk;sLb*H4kXmAeVpUjOH%>IPlH>PAAUnps
z2E?b?o78hOw&qZ54VyUbki{VTXZL5>Th(M-0q?MjSTmwjC`7KQ+13c6jw{CH7Xntg
zrc|V@VzT+pxd88zSZ`{c5!0kQ1q`Qum%+K$O$HBvV;t7mgQlE=`&rr+ot=uSH|#Cy
zc%MWr1qB3`urLc+H>_e;cM*zmlu8WmDuY{WekgOxgCxmF0QfcRh%SQzh?AHJVIb|T
z!`rOc=P(qL1$e9Da;{$_(e@Q;0gheuX_!
zkX>xsDZnn61|S_^iG%xQ6x-5BBq^1wX8zlyg@uJ`dUMz1+R!G_!<(hA)(|P?7jjei
zde8da`%EPt3h%AoHgoTA^^=-d1|#g8B*?KqGqwO-S7f1Y(PBruyoTkwd(3zfFrli>
z4>_tAWOCgy=vb6ndp8_wYsfAVbtqIGyKq|iZ2x|f%nQFf+rDUOPX`%C)g=k^yUcEm
z7xDgsmp>HeSk(4vJ#FQ0TEM$?fHbqPn-ro|2&jgPIrijmbP))o1OX?=KGIY|K!9k5
z7houL<8;Gv4y-!RpjS}K*R9*0XrUafqT2E~{URqpl+dz8y0&T8uH_h-dxuzg@*S3h
zsrHU^;3@b$Y~tGSEcB?sE(QurMiznXkZ1>=Sl
z%%PK>+K;nnA96Q40Pws)B6O!z{C
z8{1aTfdQ_COWCE&%=kgJP!11@*CDq?;3qZ;sZ9lekJ~r@eMh25(;3qs*S>x|OZZt}
zt`ROBh=3sM$8x9fYG&IDBPSv(b;J3qNVa>@
z9O(ew{+^G#n5TjT0rs0zxRPF({{hrZDZMx8e*T$|w0r#TCM5d{2?$QkIaE&vF_QWG
z`Eoqhg$jzBgXM!HSjFvy(451X3{i_EL>G#b+V?EjRUdb6W28qa!+=u-{6k<3K&!qY
zsRyNYJ`~86!h^#5>GbiZzkqkOAhHqI6peW>tQJv(Z34ulEsc4=xBBgrW(6ALvoE&r
z@8^WmzO$UJ-ll6fz4S+{MPq)1SjpbY9Id^#3;m)^E*f1!^McGOo(Nw_#&*D9r=##^
zGD;07f{bfCbAp;Mn0O0xb#)0L8=G?Q06>0Jo`)l=kp9u5Kl%m$T-(s%o1w)n{gCib
z?R|nm8G{Z)>}W$)Kg=
z8du4ST?3ij;KGHLsnKS4d?@6|HO?o;jAt$6b-?_`0I{7MEJq*tDy#|zFiCO_!m`It
zoqC6kxpp|&ftgY2^urKZue~!j!Hm8SKe#Gp#XD0z|DM^wn~+^8E|QsnjM(?#!}%2M
z?0xT`M>pNvHiPyLeIvno^~5@Tj4P
zr)eO2T?ah!5QcNmR*d1=z>H6J&&b%Xg+`(VeahBU?OfzAn|OH_lkfxykUQW|E|5Ap
zr6w<5&TAe&!hy$~P}xf0X8bB5!}(uB$&V3Tva_<{SQb9rv~}BB$+gW*s^ggvp%I6o
zb-W5+2)r-kykhe@W^X*32p~&jl?J%K9@CWDQFSg0I{@pLwsa>k=G}AeQS63
z5(+h=uzik1-9_NyztPZ50x(Rm2p{Ei=t(l^jT-@9_u4`aj?sYuIt9hZ+Dgksj$1CP
zYI;_M*VtaInqkshl=L?jV5X
zHTuYivj1UuJ54kQ23#uIJ4};I%++E#PpZY2#@NWzCd4Ppbw3T!`|>?U<+p>r)aX=m
ze!aL>z5t=tW`mUQlMpH-3R
zi0JC>uBonm_$g_Jnz^tXpabrGqdMx4!Nv)ws;wQsw!UF0>+wfuq`{0wmeyu61bZNO
zoY`~woj;lm{~tJ@v9YnK=;{V_DTPkT$yGkOcl~v67j3^Gl9_gi_xS>sUs^xldwIMd
z=#AEmf-H_HS^FMMxAMsMjIYo-$tc7?>tvicL?aU6SNp8WglKMafZA=BtpmA!;!N0u
z$q;J;yIrgg8+t8lXRa(d)!OMXq^_hC3XZDu%ryK>G!Z4t^FJkIG6)>0eRBJcO+q|z
z2B)Qf#g$Q*g%LtQPEOG)aa_@mPFFUCZvLxTO@3bqr%W8E+a8y&Y+zay`Fn$*
z^%290LDq60S;m_rzwq>ztP&a_-w>y&26V%4ranXdqX;armbek(-)SN_u?g3XobDCh
zL@k(A#Yx-O*j@SH+v9D+hFOv$>AA8WQAr77I&;DGgW52~97jMs?;DZ-4UMMyaO8IH
z%>AJ3#4YP{oJQ;yp=1=BnJJQ)8xnGmdz{lq;i@Fio@-p!)
z;-F9vJKLD3s0vhhp;qeXqZ#AeDK0OUG@U@=YYI>ulY&8r+0dhdN*M0V4oG}0XMde~&L9gkafy^9p!y61k@eZ(VrvR^5$}pFJW+d$
zXcH$C{16E3#OB3U(j^CA=kUFYj$6LjLvk8;@x!2?M2yPdJ{bWf&jbM-l1vg)Kiwt8
zOdX(ri|E{eMn)}MR{5brg(2RK&d4BQCw}?z<&_ECEqC}5Du|COF&f8mQ{!2!guVFr
z9GzsWQTf;shU;iLdvj&OnzRd9x}QGTy~G3^Br|oi5o6oCdrUX3P;-!Hs=A|ocpr`x
zr`kuG`lp9)?NwJTY~mDr9h7kIF;m}%kF;70$_NVySy++Z1X&UotNI=$9Gyxx0HSodO6_qaIzn%Y_olbdIP%D2J9E81>p
zkeizuEFm?*(yqn^MHEMxzE~YaW4AEwFf*;W@Ydy7m85{TRja)W%}zVeBq59UTbiTu
zm6MnfP>Rjd)v}kO32iM%oZ;9V#V0F!!hq$s)s%!&PO8>|FD9u+)vig_om=1D5HiVs
z(~nC&Lg@EI?f7I$OK#<~Q-8_8g`t+MA;$Y+E#B0vv~UPDsK+dkYDp+RuI^K^ZfasiR5iR_;k1BzNdJXjcO(K^Eh9sTkrZBeml>sYZfx%N
z{@m5CY0|B-e(`&AR{Oyc-4lwcb3ajQg}wl`{LXK!F0f+nl$>sr%zVB%Z1J2}Hh$>&
zj=w)S?+PZ2`BR_lRB~StJooFckij2amjsry(F!Va`iHZ0E^bq=vJ`k+qGa<@E7C<9
zf-_oT|s{=qT#0=?*Zyw9a?#12gBXQPE}?0o@n&({TL
z$rZw~#ZD|x`f^t;?VvdXx~3R*KL*`Nvb^)GM>
zBc(Q0B&4C^)BoK>WGmc3Q&Ur85)n^CHG|4K}hAJA1!BcEW)4pA%69;mDR{_m3(Ycl3>U$6e=O8JfDH;T--in3@(vBkJ`!4<<1dkW~AEppdPA0$({ltFL7H!T)%au
z>gA6vSli=~?UoygD}37p3-ax&7ayGoG~!G;@`J?*%R$(-uW_&NR{Mmr%pQO8kLOW<
zIgO!%R9sY4>CWjK6%ny@0X-d28V$m|@Vk^8j?Xm4#bqM8sAy@$jgQ+y6&Uh?Cm?O4
z276z$E3r$r$c+Ekm%AM)knYTgE-j3>uI!dmjxgq3&Uj=Z8%_+v09Cue`>$N^gxofi
zU&U}yL4-#hDODH9Dx!3{-0)$%k)bmLMN+;
zZ1PG8_2&$K&N|m6CkomHYB&bDtmD@CtTxOoton<>p+zhz(Tl0&HZfp)N
z+d%glUHNW!+tZ-D2zE?0qL>W%vrV0LBtRzi+MD0lfw9fyhPB>%tQn#
z+;blokziOc9z7o!$=|P+g-&c(dMtJ(u#>o+`xO$Kc%qsKO@knt-qbo1P}l4s7~C*b
z?`@f2FM1A(luUEA2$)qrD!*4Y>nestBEWO6P&?*oxozLPRVrh3o}+C)Z-|OhO_;yr
zB7SC-Ka;~jt05-6(EZf;kOpyf0OS{0oYSnqHZ{eMfY7H5TdXb9ZMxG(X~SqI_@`4T
zd_=M{uFGQHo2uE>NUcdhN+I)cU(Ue2jKVjsO3@B)qJ=G3vL;1?HL5KL;QMhJDTTSU
z8}JDCO<};f4i62Ql$96gf)P@}CQ?F61YYsia0jp2^~Zu(OJVZxUzeSdV+y9&C;B;d
z`!S8=Cbc@foNz01QlM>)O(|rXT2~29^Aj&laeEb|q2lgumwv~US6%)Vd_)X3UG~G3
z$3#=*V?`S7jAUF|J{LS)m)waxc07S&!?I6Ik=yqeymyHfUK`)p^eUYz8rFGzf(RUv
zrVWUP-JYU-9Vx!Vb^I8olM3vV0U#0Ma3mW$BCEC+>{`vlAiA1OW5@osU$zeL-krM{
zOV}{{!DWo&(9+8e4HSI|2{ajHlwg(?Sxb!KWj=!AMU+kPA@Tx``Pf!VOUJ+axcj7;
ziOC(i4?{ELjvs{~
zX_FSiyr0N6lb7oPqRR=Mg#wOaCYb#gUcA}SR>at
z8xiu^1ZHG#dpU``xIJcoS0-$KQ9OZ(izw2o6UpsBRY4qxrm%kxm`-4@;@GU{YZs20
zN7Z8TouFz7K~WAqdpAsP|E{mg*(zg?Xwp!_@r#HVlh;{AfPR(dA8SWoK#;^B2(w-m
z31E|S&Vq96Gw3iES~f^P*I}HTV)gYJPTiW#L>(I0I+R(<+pAdAwL(C|jY&ul_+}4H
z;b4$G)KE#W?YVH$y009WAJIKUL@+d$1cQQ^b(a)`m6S28g5Spm#u{xKofyfRw~R|m
z_6=I#PBI@8ok#d^B11fzoXcP;bmp9u|3|30Ji=J=NH6}VZ5c7d20TiR;PGPhoXyCs
zk%o6e4y_Jd@n`7|3(v8-k-5SRm>0)Q3&s%5cKi@%PCVF=*of+g5!g`|xwO3WSnFS$
zzYCC07$P>1?j{cn${7%dZ;0fa{^@RL-jCwuYaSi38zn;Gu-FrZP=z?AjClnF)F3gF
zpLzt|gDm7>S(6GDq^UVSsoipW$X9SHsyVw3QN_f}?Bws?f}Atj?(65BuoW5h(tB*9
zcfP0_#q(F{zO?$;ETMLIf85<{
zj^3hmA8l@?9tOUEA61>h7oY%+upRcp?h!6TNvqQML48ZSvoCK@LXlGNiOU(`A<6No
zek?QhPR(STEW6juE%U?1F6QN6%#DV@vCo2NqFAmC*{_^!+|}}N9xY68o%7V_{e#+P
zG?ZY+2}+pvv{Pm*fDS$wkSGo2cH0W09Plc%s(pJx>6?PHPre*&n=;#^lPR+Dfo7wb
zoYA(c$#&QLDpLGZ_qCWVO3$v4kbKqEJbtO-em2GXIB!t!pp95V6b-<;^aL1_52P%AF5
zEC(b*RS1>P_Z6+S1%qD4Wy+@aOE$4B>Z(f&B1;~8S>g;AF#IQPtylqM#z*7B+Gzb(
zR7zajNkn>u{p_9+@N0;{M#J_n28j$PkIX2-rH)-2OZLzFCGi}R(4W$A9y?ER!}{lX
zhppe5k;}&`+AuaHAv040Z4=^7i(Z2ehK!ND12#X2R_2YR9AZ&G=1E+Z8P$e?D`uyQ
z+AeoqTgXv?LFny?b+JehHo)K(>|5=hcjn%fvc3`jgKA1K_C|cf%QH*6zQEHXQ{5<%xhBcmW1&Su8@Osb*!+xB#LFd;Vs_UT>
z*kmcdUx^bkxfy+EXIlLlB^fgw){h)r`0tK)sps04Nt`Qs|K3RbRRa7r+OE7()|OV$
zII3aY0HyUo|FNlQmB-5;vy?wB_@q;G?$Z{3xN_F@t8$sx=q_
zVJ8?u30>BlLgg`nNm3&m^qH-mqU11r_fER^Q_^9a)>wVl2~Gv9!ulutZ7A!V?`E7Y
zkMDGs@If_h^A>-VcLiTm+G3OEe4nHnheA58lxRAXZ(T`)y(^N$Q$S|qt%K@-enu;+
zYHG#;i|TsW9#{n-gR=T&^b$Bn*Zc<8Q47W6q8gisUuoUE7)e4VY^iI?n-a&pdhwYq
ze*^)na#{3zy?i|<<4z}~fyo#Un!i}%3yqVB!8@k3_?Zh`a7k*G{+n~k3An7U`G$T}
z3bcc0VbEN8CmxZLqoZW?>EZhhd6_O?PSz9fX7RN90D?>+xh4cT_rG3$J#*24r0%VK
zu?Y#DwNK*6<)E0Alaup_i9JtoEOpIXlb!dAt@hp&hKphm8WRZ`U^sen;oDDi2YkXc
zfa?n9?*$w8?Aep~wG89o=Qxz16DNbP?U+AhFUCP)*T>EU56V>PS{_@+#y|YyaB6Lc
z{l#2R0s9dy8F=NGCFkPifSTmPrEOIzEHmQNV4f~R18RJ(ulc1_B-eI~D2lAzjtjxd
zwK`dj;*~+W4Q|#1+{KVX=#u+5QME9Zg?6tu%DoyetoE9tVH*S6HB~RM!Q*~Tpf)K<
zOS^q>o-jv0SU@CE7nu-oh=py(L7K*n`}5~MVB?6HuvQYDoIN;Jsp#GTo{j5=U`p*;ZDr{QF>A
znCAPpwJ@cz`A-o?oz+asnstspu7;BVI+wx7IMfjyP}M2o$b~azb)VgL9Hbb=8bN6g
zgb`2TeojlLShg1Q%-vIl$9E
ztkYRNULzc{OC;UqQ;VxWQ!NH(052Rn(T+oUR15LAt2(Awyd9pi5w{{9)7>&~#UR>h
z+O|#HiFJGhyWo)F0^@`ury`ZnZ-7s#d`5Y3@dpsB;H|BW
z3He?Lr{^!C%--FJWtCO>Z}WuSm?e}*7m_$y7>vp@f*#CcV7hN@uVT2F_(;fzApdOC
z$7IZAnQ^S|GFdrtIV`9qKHXwb7u+j1Ys;VmnwFXuCyaiHXDCS;%ppQ6uy%%vZvRY7
zObl1R($)G{iZoxzWe}@7q`Ou7auGKz3@u%f*Z^g=NF|%UKWoS{tm>eVdbNt8Vo1O9
z=qt+!l<&^ZK(+{Itr3c4z8TtpbO6ouMX91efPB7>PLS|ZvXe0$ewodMJ`ZwWs_q*Z
zd~0&@%)$LTEc%_9?!U-n0tN=@g0*2p&J{3H65{ji+P)AGeTMd^
z3tGIqf6RcTwcoK_6o+dyWEvBOhlkaAQSK%n9h0Hq?lwmwv8r@JBe%G$tQPd}hACgV
z;Afkkm2a`Kc(>9-a8U5+B|VVy#*5^gLs3v_jW*fp#yTMs5m?N5qM^CCd*q6-oZa2`!h6B`--WP_Brw?d_1Cdo?omr&aGh!f<-N|x(j
z8l*rBvI%2Si$?r9c;8`QJPk0!GgOml^|;+UGMT+;4H`FtsIx4P8l-V;0H>l)aAahJ
z=6k)!;D^$$iK%huR3+w4w(Yd~Tt79IOz*ObRr~Y)<&04Rx2@K6+lo@p`REm>=hv{11bBHr0ux%fRLWcX
zZN_=Z#5V$x`kQ5txyyEpQC}Uq@p)XGIDu}7KK_9P$R+Hu?jh;K0LU}JpqcqEC-iw}
zVL)mE>U^==GS`#$rsKmZ{F6hLrhnr^5ed#6V8=w1NF+J(v&fVIpk$msLP;5xpd16}
z2w;uqwG3IOsr((1BgHTBto{glt4%VQXyNQo#6jh%4Rab-=F^ret?xT3Q6&R@JX$U`
zbkbTE*#$9tC)E4228${<2szaP=6sIQw6(7s)~;8s{5qg3&#$KOU|&A5bzE`%z2gm~
zp-}#!M*7B@&2!6E!`w{|t^QIao7Aj`GF$wwjtD=CkKhQ0f+d9E@Wh&FK!OB!rCGxw
z+PZ!y2X;~b9+Xd=@`SqUx!dGU^vqg_=HXB~W>JLMl`t~BE*B)BZQE$+9yoe}?Qbps
z4uChy(8zAxYK^B&BwM2r;?8#Z-VMu_-r0UmMgGv5$DMag0Uk015(@fL+c$_K$xG6
z6*8&jA-3`Hzc6bXla-}~PF?Z)_xGzO+Z6QlLXgnlZ~@7U(`pmVvl{7!Yb~Ns9z$Hl
z9ZRmW@O@^3CL-{?zzzu%N>~;#X=!SJXKH{mM*>LY)>=hbM?j*dlYk4DV+CU=7=(GX
z2@o|#&L}~296?8%%Sy1~pXE^*+BD^E1_ZqcK)0AdBncU)8&Uo5HxC^6p9mhYvd-pEP#B}UT)e5lqs|o0=SHQrsc5OE%
z0SIIaB-Xlsd0&cYmpe8@7v@VVu|PvGU8!*I-aR&;Yc_H`oQ9Pg3=NY8&gD!(w~aiy#Obe-72WyTLoyX!dH4e4QXJbP#Vc)iP3txqzL{=4;!_pMXE~%ln7UCGu7?3rd8XrLh>*S}OGn(B``XcT2cC$a8
zLR@%eqdp43f0do4kG9SBE-#%TcVUm3*4t0$vVhHi#7+9u#Oxaei$D204Rtl2b1cQ*
zKi`4lZtj&fn?I31{~yzQLzayjGWRn3-)%2UV5-PN)^B
zM+seYYX@uXpEV$@@DVdaa(BvRk>#1By};1D3cYc@4%%nqKkX88Rgv{}dW9v6(0ENu
zyr|xQEqf{<0$6@W2uu}ma;Q9B$-+24w1L#VB8GTRbS44trd9LE0swt>aUZlK_@O}pid$IsVo`N18D{34^~83yxJOkVIuxQnI?lc3b*d+;dMdg*7XyRH
zH1~}NH@Vv=vVn0vKZ~n$zF72u;B+PPSzuhV%gL*tS-}&Za(fX3*WKHp7Uw~Cm
z*ZruZCdcI?{9S5_YOMY7zw5f?Y}N_F-gMR!zS0e8J|kc4kAbV-2d*k6@V)mgVF+lBwB#GxOL#jVfndORqSB_yLp7s=%ge?#4_@K
z_g=*3>X8tbk2GQJUQ
z2}wTbd7ANiUk!~p?q=E&q8|{VVBN5bX@q!P6r1b|DmRR-EZvc4&R2V(W>hf$4uNZA
z<*M|E?X{IC5+qtX6BXw=N7j3{l3A);OaNIbvAqWDvjf@m3E_Yu)B>pjMfIt4QoM7g
zW|NAOlT-c{i*C6+WF@093YeX{6d&B%pbn_U$2VdNMh8T)uh;xbLf;*JRaPbj)yHoR
zz#&^?^dNP1m8TWw>{*Vdw07(N;^Ew}m$!S_(R98p2^qaVXz6}kMyX13|EQ_`KlaY<
zEvg3xV$-{$;?mOTxz+kAi~j%|d1EanZ0PdFF3U6*bv5Y+b8RoMvAh#Iw+-{gq^LU<
z&vf5iV(t~xp{almg8F;4`W%Ymn(%H1{DNm+|J#q-e*^db=cpce2R1P8J(@0QZgx_S
z`+4l8Jca$$SsUWy%y+C{NXx~2r?o64sbnemw&pUL|0AtIR*O60q-5rg?u
z)YMGitZk37O%)Y2$lvG`7=H|t0d5g6$PREP6TNA014+7o5w0ZVaY8AKd#}%0*&CQp
zHWt8kt7QM^CW_)JzCvdNDK27Ec^5lu<52iE5~h
z7NQV!c#1qCwSAugBC=oVdULJ&_I&l%y;rRT3O3ZfKM;W)%zk#Y!!b+fsZVb47S|FJ
z5^6F243}U+U5wYw)k)0$<*Syc6Tj)OTL(&JjT}ci_aH+It>A-eFsvmSVuBCI8y9m6
zQC#PIulT3w>CBxqZFz1??hn7r409sIxf@Sk0qp{i7>rxq+=l<wPmx*h6+ypyp;l37PR+=T&4a8l1rz-kHwqH
zDGf1}{nCI}1WJeD>ztEPZm-`6&Ha+=Bm5HjH!Ax2Lt;n%BWhz(XO#u22k-Xnm1v;y
zB-Sff8GxIzDfyVGiDmFDhSl6v;BGIiDEPN#yB
zDSW>8p(o4sP5_S{nysKi)>KqfBse#q7`ZCO0ni(DSa{~cD4%q$eZsWC^=;CZNGuEzd=iG056hEH3mdmbOeFn!pl50*5y
zuzUFJFVoX-uJ1(4Km+P7k#XbGq_}EQ*Ve|Q+;1!6i?0&U<3x6XQ|B=f4}6dig}Z?(
z@mVaTEucPJauaQ8*&39U5uhtZo94Ee_oD$rnhfdObHHn`DL$Ia3;zKHa@z?gAOoVk
zTt;&)#&2n1FfK~@y!Pe29Po(Kzu3pl@|f9n8yr_kC3eGjb+Dy9ohJkcUSzQA{evxn
zUJ(0yz;%yPQlfJjfSaG>j$;K!IsW|c*$rvy=uBAMNYg1BW%exguHk?#EqF=%GMPVo
zO;`5WwiQ3J9Cg9~k1ysAfH44HuUChY40*W<==-e*rV&m9T%w6ORdBErz8B3J)WRJa
zDaVnlfp(;dUROg3Dv(%<>=8Bb!S`DhN$MJ$swjK1o}ij|NwwptD@5CE3L}0W1h|Li
zgP-D4;Ix)&Hv#AM(M)Ck^P`2Ic&SHWz%xwXwnth*Xa(8~ewS(c{@tkf;dWvjzEWoj
zUghMKceDHoT~u|}=1K5};dK&sqX9O0XRxs9CxGiE&c0
z^MmL9`u`6+zMW@}%{zz=`g;{s9{&~-^ph0UEshp6J3;dlVo=gz?%_RMHQ9VgVevwb
z>NWFFJhk>OeAeKZ>q5&vLFLth3wl=W!q7~f-)MlA1|EzJHw)2sooH9spwWP!cN)H~`
zJyyX(`@UR#hVpRBmfIVX00|>1C7!HOL0&(N(c-k&h+kc;mtzL%V*#B2emWH>W~URx
z*;MdohQnguqR?R}I!b$sV}Z(;MUEWddu|aH3d`6`Jtz6f^9T4C0=<6w*=ctTe!Hv7WQSIU0$L&9
z)l^`%V5HtO(HQwFw&<-tt?+G4{Xm8gjw76>#*N?JVX?<}QYsX4Fg?JBel;2lgloB~
z%kCQ*$N!(`i(d*t+Dke{T!h-5Is8!;%#gNA`-NbQLAWmf&!0b6
zKu&1bi>|ITG(f5W!hoP&7g9G%7?28`#iH;q|8u*%T5RziMW_hSh^4p+x`=`kga*zn
zgMrEern-1D=w|pj|Gdu0C2TmyH`;KJAk+$IIN~^#`3PO8a~yjhx+z0IQd*ZfO(5rY
zOGY8F1ELMX;O4FP4>V&56Nba_=RsHz-v~k&$BE;4ZUq+*Ry1gi(?B3=Nf?#@6ekmT
z%w}sSMB!**P{k<}|AE7g7Dil1eoVW$F_3SJ!6`+|u;rIGDS@kiMYqCs2C6=!WW6zA
zdVpT|^U;v9g^x?lM`vmYsK=7rJlvPdR9D|k?{uHjNm<#u7NP;CWJ%@gx`dNJAX2KT
zkHV@p8S(=LR~m}xn`@_kH})OJ#K36AM38;gcGv-KYf3EmcFQeG4F=8p>nTzgc($arOz;T1-&2b#
z#l%7HmB>twCvlEbSQTIM-yp9&I}iNUkDrhErZR~Ye7kgLicBmbZ4V_(oG
zaeHcj68_z2kek4EAWeRBqZA>bv(j07_Pn!R116*^^AU@Ao*(A1$s!l95M{sZGLuSZ
zUEjA!RsuIoz&Jr-4II%Ui5zh5RPV(GkHt(3*T$X>qozN2`ylfHH3@Jp?P8x}5JKmSz^pndhdMgh)&
ze;3Q$)tzkjvykEXhkzT-_Vuqv)h)*N4QKbn%40^Bm=Jc7+yO6p+c>OLg#*?TlDQ
zOcem~@t{v^XJ_XNy=5g`_EbDlD5S!u$X*u1vYqso71wd(R%wH*ok_!_yK1RT-s%5P_wI!8pjae#i|himo0s
zByAe?%W4)MwUKD9D?OT9O=zUj#qkF
zx8B>AW^C&F9q=CX#rs|ZWO=4FHNppv!G$JZTyJ(PR9cfe@
zG>`Z5Z0B9;z4xwn-S_?DTGm;Xj=g`w_xpUG=kt6%pQqZwP4~V^FEt1tOu`BONGSJ-
z>!&|5yQve-ja1qVG#m8HNF?cxG(9}h1tGq6QAmQ(qdi#NATuc*|9pec`K8L9`lPNw
zWpTAL18E9IdK#ZRnI&>&Xg|yic0x7>IvTcYIXPWn9EmCBdsGu~;06oBFZY5b)O9Hg
zaQT}f4`wPe-jj17>IdkyQ_h{^BSud-9vATg{?P}Rv^h!)8suprUM(T=qrgGZVW*4U
zwdQW0RH%{{MmE}b)z5xE~<296$Bn0IZAGDZP9XJkz>h{k8CL
zDdq^KL5X~Wf5iY~ZI>2>xa4DJYKe%Uw_^K$;`^m*3{a(&!&g8tS&dCqQv_1fL7-jNck(ioS+;DqanCAn2d}
zj%`LXPF>`m;7aUU%#V{~8V|XNCb*OBuGn(vW!pCMU+-3y
ze)HT5P~6d&$of*aq)f5Q?)8Ee*b##Tmx30+VLaNCEg_nqVwIV1*U-4wlk=@Ka}*Xl
z322&2^qn-vql8pWue>{pgSKWsL4hRD-STQ5xC-CJC%uKlaSKxUJjD{#C#%IkN|`{#qaG
zH<_y1;mk|uy=&85%UD*$15Vx?d1ArMpR3tAB?x3Jjf|^5*`1g5T;ebo$eHxOpdrF7#TWM$#3+w*Fo5z)-c*Gh`YkngF@xp*_1zN)}>Ir
z%Ai6{;Ee9tf>4{<$ax`X6D@3$@`^}nNzYjK+>p`m6OTllm0aBZIxUEul$sh=DSUmU
z;z$~bWzf{voTIY6_-6O0rrzrO@w$8{(CksG5LaLBXk*R=M-e&uE3R&nlLI{}nemF_
zABQAY>xK*7)|wSMeTu;}ZH+zCVqD_`}WY5yjT>rQ#k1x;H
z1nOv*Y8V^4-;}7;ow~odoBpAXD?CFNh^1Gb??WhLU
z=&oJ9{8^6pF#1pY3-%s3a0dnpeNe0VDb3%Eg%|qrKuAT$rOfvjTI>NIJ6XvceAx}o
zk4+Vh{docLl<$l)p7Ozq(;57dUsHIjEslR;GzJqa&$xLjo#Havy>v_4w45f4EVVM!
z6@63tvaEL9la^nYd~Rgzw&uL(~D|E|^Y@DLF?Zz7O|E
zqoHr)?3@DHjsz1{3Z@{DV>1(HC^%Q1H@ywVFv)rvMD%v;l9#!e4-_
z9o7Wz;5;qP6j-^_fY_Yfn%93Ko&`1C1ODchGy*=4)nG70q_WpW{E)Ma6>JvwwGFOIcaZ@G*TD}q37$sV
zVD#_tm<8Pm@yF=Ig&AGO5hNI-z=qjTXTJwrqGNGnXXduC*}pWnSLmvK?0$RKj})aS
zh=zsR%7BF!o0u&4Ye-8aW36Byo6U9yju(AKZ}VfVi9GZzAJ#ajmX*1}$IDH7U`hVae%fW+=$Ap?(WRUb}xsaO^
zP9olc8YWqG?;MXOd3U>yXCrD0^th~O#B`Ntw3nG|fb+yf+$4Q$48&SutUQ8Q%{Xk}
z6+uxYbuTF>zGRJLr}D)aSIlxp{4h^<2&M3ev>j_=7f323qpHk3bs~6l929_bd;*aZ
zQP=^{)z;ND!9f%Xfj4>^o4mFrgMol_GQ`-(hXtB6r>|d66KaEMHh=AK#
z5!IzMl9X0j4wcjrT(cDxH^~*4o6@-8T8p;&GnQ>k|M3LYAa*0oJ^`rnE_&wg#Q*c>
z7t3)D4hpJ*Dk?!oCRZ+Q4=9-Eo9{s~Dj(N|R3tj3I4hR^G5y-+&-cAPgnmzB%0IxM
zO5Pr)pD%OZ?OOWd&*{>>`xiCO(69>UgFhL>yJ9C)aDv
zA0~x+K)_6%9m;=6H~zG@Kt)@50Y;3
z-|!rW9qFWPLJk-Qq6%ofap0e>4Ce~=tQTtptR{z9@W@GNmN6!+H_wf)5%ZoAJSHUk
z)z1Ekn%KNyS%sF;4L5P}|z_6@KOX_01n9L)6Z1pO`H&
zoYq_%74qAdkb#dx8IlV
z&SHA2dXvRb_H&CPpNV;oXiiM?d8*IQNCR%ft;0Xvf2pPKgNwo=nAtN8X&kJuZp$#T
zcd%2U;px5xE|m4njGzEoDEE)H=*cbQtrC`)H=p{4_9+3jjvzX+V{lJ@IA{3b3Q#>!
zwn(lPkRK7(3Fg3fYdb)Tc>|HbLh4$g@R@f)LH#b4pfBC10QaXSSOIjUjGu*PM%!P<
z!3!y>1+zTzM59ov{R-ser`*x!dcA(O+v9EcPO2tugdJ^ONYW}K#-M-k_vrilsyWdY
zL>DW`ndN%lyQS>I6+Acv3%+36A{a}+@<|a!=;XTr8q)>52Bi1h$K%N$0W_fHeg*u6
zaVyGjJAJTCaDZUa0RVSq!IZ@dhGo~cls&zo_SWKx(p1ff*|V`y&lSzqmy`0{Zx1)z
z5j-_WAa8?K=!eg(yr;7ed}Rwm?!32T$^c;ufT|QQ>q4(yE%@VJLWfR2j5`t`WkD%q
z^Dn=m(@!YcULLhHth&kk0hkNbz)9B@`M`f2paT;IafVQ60zZfu8yj=+TfmQ&T@p}~
z&SyV}wpeU47V~~LZ@5AUk7OzqZiregy}a@DQ|EKfb^Xwe3Cq^~y-n8hl>hQcGVPpv
z_WK@b60M+8zmF2y9)r%B=dS)Nf23BN$&o)|9(g3?bq3Ot6dc~#>|4OMJb*>M`g7{G
zvtunw%pe(8z&+sK8`Ig{UStd4-T-EYin;jqBlfO;Ww-Ze4w)hztZ#+l$s{>BH+
z_>8y!86hDz5?a#B3}=E7hJ_{v^&qO(69K`&)hG=M7IkzytGfDI<4%R8-$TLLuadiV
ze-D>|2m*~}vkTTgUpkG?2#FntY>hd+fMrL9940e~$qt5NdCM0K4mx@_bB`e~l;!C_
z?S<3D$mpVA2!SaO1ix&%fjbxn)OKW`XwAaX`bVGEVJP7KylPFUQnQ$Dc&|Q
zTlk5rXG__e72bS4CoK59IbYtrzBll(@=@2u*#&l@!k2Gei-<@f$OcSQ!mLfeZHBAh
zy_lGG6p%&$-lxK?Y4f=Y;57cbffyuFNo>}t0Uo6slr`D{vu>6byENHp&c48|Qn
zUXuL%Z~ucc{-2J&`Rac+LwBs5`7b|~`yQ3LOq|Tn_Y9P@pOZpJ}?EKaMFE+DMyut#p`6_f%I{14jR`Ny7$!N547aa$q3*
zlp@_fh3@VI)>{RLjy+mqq2B_Tan2k*Igv4OX3bViAAQ-YJ<6A5xN2LE?INvl!V$dR#|ObhS7o4M9Hi
zphYa8m~HI_C>3=uOxkP(^P#z8o+%o&-ELzjj!WuL$iyA>=l=xL9l4`zFfGDo`tHvh
zr#$`=|F3!IG6G(dtly81WEl8;|4b13Tf33umUU&~0I^4j!H(f2vUGH%e#AK9ejJWE
zY^>lFNF@SX3Y>AB>=>X6hiq(C$;&@3U9|gb<`%>S&fX30(QZdJYR&2or4e$Mvtc0w
zrayn77GAked&TKV2|k9;JiCZvzQE0unZ#3W?k{fvHT73^CH&)cBNa^yxe{L*M|=bY
z1v%p~l$mz^UJ#3WVOK(9yk7H{n=o3d@7XIY__C;|>)fn$Zz%aj$DX-q`d8Gg7sYnq
z{=O%ePXm`YXKrP?!*M;8rLHzHbdXto;U|G>98Lmx@#8o^*c2&BHA^eZiM)BU=IZ)h
zC^t*CMRq;F`r2v8{akIda4f#;oMyku49W+byzWTrI2d&&g-^h(n}A|!IiVg2jfjxWZb-rMbp*QuwduFI?Ufb7G=c`r
zg+vJSAJ%n~V-i(iC!uQxsi|q!5eU=d$+psYuy5g#C61VRS?O2;m{5+UdRAkM*8WJA
zdv|Ts$020s!J`qVGq$W$QmS)NjKqf)BFj8o*f|2@EX1Sr=pGKgM}noCXSzLjYj@da
z+>ys)CE>XR4(XhODY*mY!J}pvqrN3JC#Sya%fKgqg{`WwdQm-YpUGgr?K2eiolZ2)
zK)vWBTs8`k*XQPy#zzf864T~kjhR1%Ai(l9hDkP-@`AzY4a7Z_f!^?7<3QyPkB(24
zp)<#1{~EMd;*}e)h;cQv)4Td!MSx68KyuUu)E?-lTj_+Y>t8ZCHvEl@!K%ILJKRTD
zDUS7s)%~!^(q>zo?2sV(H~PYLZkgMIXOVXNWyx
zu5jGY(2&o^)OnBqARdPgcFAt9K7^bCX`iQh;wu@n7I9P$WaUCjg(lZvZRxWxmk5l@
zWcY061(iEE23ps2-x~4B8u5;ejU{FnKsB>uzAJyBS2GDAHjgQQd3TKWH>+eNrIc;FTLU><20=Xf{su5He2*Cb4TU;;_X<
zq4SXx7Q+Zs_G_70z`OYZa#gVqh^GuG*^RbxG*Xh*S!Q_(tI^j%4oQbF#7s~D<2S+T
zh~0C9HtsOw9_ooY{q?t|YHw8Zl?f(NB-;Yg@Lio%o8y&MGYJ6Wy|V4unJx8nyl{S@
zbLw;^>UIgQo~h>9llOJd*~Bd`BY|&Nou~D2_nGl*+j0XSC$LwHt*7)%;
zaDbaHDL#_7wH(@lw^E3-{tD?DtDfJ_e4}a*fkBeKCWr3;;n!-pcr_cv)t+^
z?AE34o;oPLVZ+<{Nep=JPK#=b533nX!%L+apM2s#QN4%adelN!P&5CK&(Nlhm{-ljHrOiDXzowq2|ppmM{L5Em8eMn6tUP=Fg+PNK=5L+A}MVEc*cGhvn^S->Z+`2L$VGUUi
zcn=kbidU5=<^q#CE%*p-B?g32ktNf08S512dr)^|a;1~UPwUC*IyzP*gqC%uyo|DF
zOO|O?=D|tdUrZ77eoD+9mbyy+q&rAgS8*W5a7>CM245!tD0~;~X%Xfb)8_?1zhRjh!^G!q$X(povq;X3VKX>yU6n03{@a#j<^a3*0`k
z_|}DyMG;u=t=(8E^dm#vFS4{NpuSaOQojtO7Tb0H?!cmcP&xlNkGcei>6V7v=em>V
ziZwijF7$m)&RBZ2RRwa-B!r_xoLCRdlbvO^=vl@kuD;mCi^*ezm-&bu&u)m=Gz4tM
z9?re&7?hQsmKt?c=f9%Xdy7jyY-P%VMyygO9On}jIOij##O4&b;w9W1Gal
zlzMrnY8D6x+=X^6!8-p8Lgk*jIoEaKg13TaM#hj@31*eW>1(pO*eAk}?%jM@j+BR!
zwn&AwE2x9xm}21IkRaZ1>r~INy-(wg%joU4-lYfe7TGb%TV0v*W6=}h=L~HJe(A%=
zJgF^$iHo04D8S_=^<%bs$AQvi?v{DdUcFLV&}#a29B338B0M1;ouz|4Riv5*C6{UF
zO@Gg;8O-j%5YsI37;&b=
zJD~E}ESe2(ti?ml=LB%W)MhhmFpExKSd%r}8lDb^FSlk%_(*~gau{MxfS!I$7lS$5
z6nK&U=|U>ArbQnYee+!x3RUOHrJ@1?2TRr6gRtzaMzw8W)(OOHb8izot{f_2gAnX-
z90KZh8i>C}9sHNQYZ~WN!TW`U<)*Er^#%e_v=H5w0=#-_B~w|n55s|4yWy+PGz96S
z^O75DSIYDhKtJy2xomFFtt^778FpGq%yJltl$b^1lp|D595Bn7aunI2SFY?62}7`>
zMk=Z`vbGFYcGlyJ@K(=hT0OiO^_Fc90@q~~x4Buc)GbqTzG_FYBo?kUZ;{_yc@=?R
zyvurWqupBh$CNB1Rx5tIBunTPK;;hPok0U9Z!6ER#ME276)z-#M)KjwrJ1!VR`)ot
zi?dj+qJO`X&oa~H_7mt8y*&O*T8pg-+XDH8-T~8eSv^=2j7EKwn#&kyfjG|+Nq4CF
z<8w_r7pmg=p3yETA-p5JcFac9Ar&pPrg2$F6;|QP(4M;lp`G#l;6n$yYSR-5Xv7wX
z14|j10NKCY%`sgSe74E~faZ0trmDgZ#`qdifpbUGqbe#XTb7WN)N$>d?vPQ3xm_!P
zd91-FBL_yagm7O1Zb*6!H?sYKb>Xq!qwvwcadx_X{8~I!_TMSQ>3{t;^1S@@02|*5vBgi4-
zC?Wi2)UU|`{vf?}b}Mn)zqt(85Vo-CEU%W{TXX6s`SMXOrD
znT#8Ub@D2bD?)ZaQ`t*oWFWL!Xgll)j1nYH}t>K5Z5)7A6e@4WBTUtQVuu5%v~
z+KRw(-5wHJ+M#+PPEU{C9UOV|TII(NendPqE+B^we!h2?AnxyPSzjX*2S0imkbB}E
z{FujzukiQZLvJDIXu$FD{ZVnegC8}{;9WlW329*XpPV#=Vh;aNd%T3VikjM)IWFXL
z_2IMHWOFB*jrH6&l3A`?`K3eX$v?8)D;VpsTViTz`t#uL$LIqe9r@o~`ak+S;a^48
z1`?~E9m#zEo@*#Mjz)O7Rf0;`F;7ND=BEw}oOtFVokNIc3AyJd9#_#=S5dw4263Su
zTOm5~K^lGk-S}rEIi5wH+suz#XVWQF=`XfYzjMbo=fh8;LASNR((#1Xku#@`
z5)?eBJ&~~D6%wg*Ly9bkfg_(pWsMGqbs&r@sZG9G{c{%#}5(M0@uMODvS8gxLW@{G8
z@bdC%mfEHlS@frzx+FLL={QGcjKffRW=?5_V(h0+H$-5R;%h&D^`{$7bNka6QMx&q
z*+0#X7)N+j4WB-J+IeTCrw|^FM$}b9USuUWr+iTc%O>Q&(}`O$#=to4t`=8K3_1*V
zdDFS4J*f3#77@`=*L6zXovPZEt#Do;>Tj7_GaGM>$0ZdHy9-SVW~%3Q+q8(J>TUl#
zTe{k3)^8Dugv;~v@QTLD&sA>abZ2X&dhAT;Ejm|BwkN+PB&LkhuklKES)29Ulq_>E
zpn5yj(9j^!Go-4jIyqcbb@6sMnV?ZfSeV(y;%MK8$BBM4LMgKBB{zrncGv7ClEb_P
z?PXi4t;!d?+}Fy6Cl(txdaOLQw9a|8rB!5Q-F6sqN;NezTdBX2d->9(RMlDp3E)2}
zt}kd+u@d^$Wwt~zw_};)(YBgl$RTQiW_lMM+fe$`{sn?1HGBvd?}aJ={8dL`9p(tJvw(bUucC+`k(S#
zKfdc;wX@pqyxMCNRe)s^bC6~eQor?!)MH&D$fBpS(|EAdPP5oD=AvA5n$TQ1xA|~~
z@2|17t+!JY67dcZ^7Nv!
z#3<$0`KKvr<%c(&>1cfjm5{x8TGQOxRI1ocI>aJgr^Sb#v)YfIU?%cg
zL_1nMc5U3Y7iuE~Y*GxHqt8up+fQp$EPOrhywas!Lm0=z#I#u}wi^$h)f$WSa8E4i
z(RI1Av9SR`rTu}wND4f=T6%gqJgA`Uc)*bBQqx5Tk^c6?cUDX)GvRri^Rz7*Guu6Z{M;I
zx!1#q6>G;lH*PxXEL9(&8&C8XRr045S^j)VK259G@_ny4>_x(g(0RW4h(ynyD{5J-pI#j2
zHS1>G8RhUWv9>gu5ctkXyt5cq)w#a#Yh}QuCEa6hH{LFkO)KT;Q~Z^=VLe94H^xD3
zM-a@3oKO0KFaeeBE17!C+}z4u`rk&aO+NdOJ1@6MF=1h(%nIDG*q7ZoI#;mhQnOw7
zau(t&{0H$y*BSn1P~2Z=(a-0$F&Y-{F50%eriki&(28zU%YLQz3zY$-@=
zuJ~&fg{*$Rg#589or?4q+ttAFn6zW;=7vOUb*=fSCxUxuEESJ&K(pXf)aFn
zowunrHyLNISHD|`JT8Y9J`BP7{3>ZvceIeEb&jd*Sv}WxNt;qD{W9gSzDo|z5kda6
zy4`K%3rV2=j&6Sc47xio*x{|AwNJZZWaaiE*1x4y=FZj$tiQUF)B54@FBNU=th@P!
zCX2u8a7n%SMh!FeQY-EVA}x$hdTMj?*Ua@3-V(5sI)^G;RF#wxVAn|tI_XndZpX*D
z?`%#$n8_F2_#GsfI}FWNNK0#tyZ$Uv`ypi97n_n9d3g%B
z0@$593;rI$qorGGbN-HHdOh&CHrr3%=jYc{(w1|_{|Hw^npt68l59DfHPf&Os26@V
zigin|o9dp}SsU&FFf_X0NLAccxGtX}*1J;L)?UPJhnrz;JdzFis6*l$wN~
zqGWGx|DALO?zC~|uZyyY9qIfpsRU8DIA@iycWZ{xrwDGdDwe@>1Qo0fyxBGXug@y^`dZmzET#;9_RO=+E9LL2QC!AN6Qyu^_T02P`a9>otiPi40b
z`pcy%|N83N0n^x-uAF)%cbKY4C--pfoThb5&zZ4%WrI18ea2sNR0d#t&vE|=o;rj)
zVj+m*jG3H-^~Xcx*VQ|Jb+O}x4NgT-@dEQU-K4|7V{a6t7&L@Vyu9>Q!N4Gy&uS=3
zE=KUh#bx8m>n0BK{)5s4Yh&<_tskEpVw^pj9opI5_v^^VzR0aZ#k^yFq0yNMk4HY@
zRctRdK;YQiXz|E_#ghr!4ni%&5z$x<9?8eD&$kjqy3q##wMDuhsi>P)40)OU_rb_rhv|04rAlW@
zry%2#M?RMjv@`DKoVS>rO#&3d>%<0+^ieQcF4fw`#;)I@*yP8j7n>e?b9;4TODM*%
zc<)|b_=lQW1;T7Ct;=m(!M$pH9h)Xz7FJdjU0vO2q9cd~72f6BW65E
zlY?c&0KO!0*Jk?Fm3Fdbei+*1!tF1PHZXO`%PrWET#`WX;qG#(7#8P6eC}jX<;a%B
zU@7m<1;MSAsk0diBh}ByS4>{+Pgajoby+PX9R)vk;h%vvoQ*2a)3K1Gq#knHgstR}xR_qgT@v7}n4pl|P
zc)Hzr@6E5*D&u2!rj2A|WjpBh)}`DwCsHkRxsi{XD6j$CTD3BzwhV~?jKzOk`UL1Sa&8L8>qPz6LqA_DwP2*=CtoBFXOG=rkq{QDYl^YU)l@Q&OO
zQrb>WyhAtqx!rXDKUD7R%*kfZMZ3Y&#vc~}CGuq|SH
z<*#17xg&`yrp7(s~vFl_p@ZlY{-(zph!<#*WDpJ_#{RwLRIFw$L0%VRX
z08YEH`Gv#1ZQ3OzDajb}Jp_$nNCprdyq|H1%&WN6b)|p_bgM(ayHO;Z{1?0uV06a2Eq(a$sG9a0x15iZ?+-&8R<;v`!kU1Tk
z$7$)0Nq>=r^Dp0P%aF~KVRF#K3Y<1Q%CeN%_CjAY%0p2UHDKwGKX>Y3elHJzbzfQ$
z%`56Tom+ENxj5WO10$nMy()JqUQ?Bz2v5KOhe(Cv+7hMAAe8l$*rcM7twftW23S`q
zEK0i?l55Xn9GR)u(zDt8^a`Ap$K%mEfwhRja`H%4CbFXi6I+N+%t5+;6|7H*u9!l@
zCMuLrLE=<5G)&oCnMz&wRXbI_)GTCxOj?%|Jghs3()sgz=B;pf;Mekl)(vb_+=g$4
z9Dn)R5C2_|vD?2dl}@BYEdwx|ob%W#J3%L!6&y^VKqSTFz&e)6#Dj=
zn`rDs`M0dt&8}Sc)2k*~@Dx%oXdOUk>|o%&+FC0jo`sZn?Svitz!vK3>woGx!fF!oILix6F-Aa
z*`zJu7A^@;*OwBIFwmpmw2kOByaGnp+uPf&=s8ONM4APMgq)tk9ekoy@~C)VUVTFY
zFAS(;?hfz^KV@Fu82-mM9(;ZC(s2i!k@h6))vTk)&u2>)kZ7tgEP}}SON|81oAX7X
z>PN-;&)1U!B{t;^2SSwi`THj^r}R%^=pSD_>NdrB>}0?PevhIPLG*YpUoTzqy!nYH
z?%?Xke^TedF0dn)N(L>Nm~QQ|)ipK-HyJ9^leNBkPQ4zNn9sv*o~LiW?)_)o;k8;;d|`*w8ac4T%D{42G|4Bq+(}hS1x-Di^T@^&xB%BRaDYa
zQZ6>1j-kk!fepRDo=m>$@8=h>=U-F`5sU>$aDp94je?q5D5h>|C8MB#Cp7sMlZKX)
zQwiu1zjWlJ0aT5zM`rUC_p^mH7?kcE*$@*HG~5-VLK>e7{l^r*e=EbODIKVljd2A9
zD!^6y-aYX4qZ7*+7|W0>4TtpDhn-ZuH>iJwvS2qVRQ61<@10Nn!
ziMf|+vxmKU{Td~i0HjT32TCIOEHpd&bt_#CnyDd}TMSp~c$3oknU+cU
z({|yQWHDHe^%^=`2v(P29Rf84whwaEW}Ck|#p-N}Mi)8;J_lov2kIb*c+6P1UDu%1
z&Q28)I#F$00l?z4q6*gyYiv7Yz?|r4YUTZ*`^VP+DX3~`UBT{WcRLWp=&=wmjXw92
zfKD_PgwvqSIkJO`>0PyB?|t^{xMHznAOBdtn5aY95gJ;-F>l(?izR3%1Z22MBH&-
z;g;3_K@%rO`05AnZD|~U>)#+NkuaTSVPgwXp}SuRu^F^2-L!1D?D=b!onL*=+ilGh
zPYt=u`QE()VjnCOwfz3O1;&c`4iRr(!A{rI)a=~3-*mgWvnQgEkK3Itc@yb;QwSLZ
z){|oxd1!>$Ax}p}R2CQiwCE^|v#oE9)BiBOw#7&!{>(owEI8PBsN4w+`?DW@oj^5=
zq9Qe|BJ;NGjir#-*xUw=D(&IzKi3}Uo`O>(>a_$@SUW7q*m=a0R^%*>1m7Eu;+o#{cKXUSJd
z?ESDWW9phyhv@Nnr|((+j2dXg<+@f7N-C+0UZ;;Noi)sY0VI6g1;j@F)@KlLK%FS9Ot;KjLfTbxdvDaUZJpHY3ySl
zV`Dk0w%@PL4RiR{o+7I6d!GVHZ4l^xQ&CuGs3i46Dlh#$ghxY5M`w`v*{@YYO3Cpp
z)1p2I{?qnl>6QMt;K)dp8cvF%1h>_rAl%jdx~ii?a;P;jGSX)YiWkzDMtr~*p3h+n
zn6QFCs1wUr&ZD>wvohVw{d0y;;x@Lvv5~k;u4euMzrGUd{ti_6`vB+8or^C^JwYo>
zX&(cS1iLQ=_!Lh;2ro2K$6mU0bFNS`?YxX_2h1N;
zpsucNHq%##OPb0lW6!V{cHf%8B|&g_ZZTYHmx*D%cI_I^tWnnfm2Vzg*%%UFpgv_^
zxl{h);^GbeL^=^?m5x;Tu%0Q^D)*h>prDSVIaryzpc6KQUrogJ1HTIi4NbA=FG871
z{NqC+wElb+eMul7$tWcr!}TRV$U=C&Vx-{@X=9igRBTL4mG`T6nsUbNu*eD{qkD}fMq)jO`o
z@sXhW#0r=dwxoVU#6-*O9h;3M~F?Jm6`Y}j@pMVfvPzkE)vF!I}a
zgyIT5LbY&&irohPF!GTHU-H@LdI%n3XjCUPA}cG4ZfX!U#zAqcZ)!rb6wjlPk7xWt
zU?ms0tXXF3Rp|nE24aQcbICW9@jx%4xQKr(pTDl{cBLs>j8@}v(m-&iAHIk40zLCDVMoOuZFY5){;bT*
zju!V-?$c+^@HxBnec8Z7UwaB%b#m~{MJ+v2qx
z;0HzhHd-opdiZ!}q7>=hRHtaQwpO)Q0XcR*2}c;cZPVLbJe#duqJ$P2)@BC_-L~v2
zpuThUJLAE*k!<~R#CBz}YjMN1ba!)#SN{_M)1^xdoW!HQe;YSP3%u{2LDvqTUg`xt
z7`{S-hBMgqAbHVr-3sSAkXH@!CqTIEg5NOLa27!Nf;j!fwCC^X3p@?*TgB<)LawOG
z;Ls9Nk_a!aDilV-F#EK7W_GYl9oGry8;F7T;4E*CHY0WusBA*c`GZr4PitI6*x1-q
zAt++fL5SAxImda=6Js*g9HVHVj%x;TY}hjar7#RCd4Wpy_tN)UxbVi`Jy^+iF)}i`
zCe+~)#;${jDbM6S3AM5S3=RLIxL!L5Fqg5L%N_EJL+l6N^ZcIQ$U48Dsl1~1GgU@x
z*WlO^@A+UpTY%rPI3TvR+v|@}on6tz&aM#BlL+?GvsPuN^&j3*G*@gtJwFy-JHemD)zb%so~HD3?K%xVbC3bKW5d>SvF$
zl9;2KE~a*vWXwI7cTmCsrorJ@ZC>pcj7Q!WL{v3Hh)LRPjTa!Pp{^RHQ$!*`970nS
zTJ`~vi`Q+_7NthGi**O_7LDs`{}wq&>MIJjy$qR{_bP
z)S+8l&n?-T);Ud43o;F@`?@{|yEZZaF5a8|os4%6BM_c-%4rBbkvgeRCQx$IpsE{;
zy$<3sN9B6Lko%T}#rM4HsPGXI8JPiPGewkvOFVc*NEap+0_%rw%g2VEOaajKXFIe!
zVwlfNb`;&l9
zh=_;v1O>_1#S`7i3tKyElV@e0
zh<^;WI~~X>uhhrq
zq6c&iR3=#^l~a_E@X*6Yq=6vLOW(LNO%azg+7NclBsV9g8^Q<^7V6GAQ5ADgOH@%+
zO$N-q0t}?7=&%1EZiV%fr%ZeJ)dx@vK$T0#L|t87SezfNNXA4*Y6GwlVCnUBbtdf&
zpq)Y$F3Yenye%m^E>0Y3SW3W9fIAsCHXS~G#u&05upy{Hd?2pz*%1BfTkwfC_=BZ`FV0`%8zuC^^=2~zQx6GERToLqPj{xy>q~HIbC*?N|fgJU{Q=YpS{Q{FQ
zZ5JRxA_3v+M^B>Xygw4F+7&p^+ywXJaC%Yh?f{nD0XpgzV5@
zbaSh8=m|+GsW3LxCImP|J0zfnxT^yJ%RL>=1I=a9R
z2zNuhh9hhUnTP@hipf-tQ=0B*UepB@A?>5$I=j8m$e
zsknz|>gdqSDct}siE;1L3fwB(JFvg-jEh*fMZTF94XAp+x6?s$(vC-X`ug@~?~&j>
z(?l1-f6~hH-wpl$+#iI~rvxa#Hre0q{tlGA+p3Tud@K2sE%>x{jL4xl`i~SA9+AzL
zZdb+qPC;#?y{fy1BUNv_y|>2frxqFdv54+O(9V313IU4_tN3*m4+efC}xkZ`=^uUA&9%E1PV1w
zk57-htZdM}{-faJ%azyLYwsaBU(Eo40G8WlNyL=F
zy{bx4`mAs0>gy1&dBwIEWt48adl(Cl9SzSY8cF;Ej4p*pTv=IJqJh@GR;BPT{u8yG
z=Fc}|dN79%DXcmD+1xmSo{e7d>aqQx06+iFJY4@W@wlHl=s7*t9|^`lAy{!Ozt{wiq&0IXmpAkQ|V^m_mPJqD|rs}70!9V;74
zbsq~0i;9-k`8n$w!nE?nC7=aBxfq=<5cz=DL)iaZ7Ay&0gKKQNS525UG&e)~2+7FI
z{G}t~Q`@1af{_cWL`6T#`$EzHLMUxoJZ|
ze}9E2f}A{!Is%P9(*>B~@3!_7?glm3J@L$-a*Z+n{*b$`P*|h&CBFCST)N(Dz*NB2
z;(GU?0u^;{2?qxmQa3mLI0Zy7@0k|kAoBtX2@rTF?js1*Mqa6A&6+!HkwxFxBfQzw
zJyt7|IaVo{VtM_%tjI(@Rq8aoqB4v9jAg8Rprd_QjOKSb|9J42B{PI*@%{t#M7yMA
z?M0~2@^Z|5RIH+R-v5rz6|H9__lWef&afpNxt$y{x$&vJ
z%$%-8+%H^`m63frFLRE9mP2adAXIu`rx>H_+f(xWwEbW&v&gbtOa&K(r*24ShLBLo
zmrNe?Hhif3Kcb(7zbjU}KTieG{J)b@Rr;G68k7|k15pbJYF6|lH~44kFP4iN1vE>DkB1Un
z9FP0<`o$S=WKoH_e!!Sab!RJD6hlD^*9jNTnEgqPj`9S8dy1`E7c^WFUys0(diV4yW|KkmSJ8mqa2
z=s_gI3ZAp}0!f4c3z00SWz3B4@=j@vPT3?#vfT-{Uh^2#2TNK2Ujh}S(}$e#VSbFL
zJnhx{H}n1L#dgRNy=UqNDj#Zy?l(YV2_-jKI$@N
z3`Pf_zc7CBKx{iKQ=vZ0lQP}|ZUV_C$~>BV9HEVB$~Df!HJmzbxDCI%5{B7Lx9!|2
zD7aCO20J_9{cR*NSf%O;N+geoma;P^l<_{>-R!9{-QC`RdQ$#d=SgM|BxE6-0Lp4d
zy?{{WG~HUA(agK|1Vm`L5-^vrf=c0SVIvp=LJfIO*CV=wi5^-2?jWwCMIG5=CK|Hz
zWSm`Bj}yKJ==jr!Rr87Gg^7pbz3szB`_I{GkFJ`zN@3e^h5RW%39=cavWyj5`H*oy
zE(ybkfM3U#*2J!CuymzcOBFK8m)B>_pxTBCxbh_xr?05-^rICBSpGhfxJf$f2`}-s
zWi!%2v>Jl}A<5=40`w
z^DT3*GlDP`TeD>;L_YgZ2Q?BSpxlg%65xKp*#fW0o0{$`l*QSCuTiReaO8VJDpdo=
zcf%s7=Lcb6{|lX*#J*I#GB^-&7B9{KCDbgl&rS+*FqdS2ZK||`kxowjL1zRGkSGjl
z$i40Sm+gi77~m^lQ5~JQrWNK4$S=@*L2Nrz5>Yk6sX`aXD+h%sA8HNtr4dr&Hf#h>
z5IpI4;6^Q-hjy&{rpY+@R%9d=#>xhc(U)Z7Vv
zHS`kY<>ityposPaGb?{uUD?_J9Se}foxZn@KaYuQ&)0z1l?%qWq`Vzi!IWJw$$w9F
zzeNcz4YM-QA@%w!hZJWOKZvhvm_#fSS-TVY)BB;2C
zK3S~m;!8lFT@Ybbz@`EYM+H!(`YJB&-x-5`38In_OYZ*j^UFy7$M-+GflDw8sOh!-
z*+=|5#;x=uR6J>HG6bICmswdmLF+kxr(R7#Ar2A%)UhN%mK=ts9a>{Y
zZ4Q-S(UZlYPDoJK(gsZr7OxVd_Iu?2(Wq~Us{IH;#taxP&-4FVTFjUMP>97juS|kp
z5d2-zH~^M?$p@pHa2+ts83j$vjJ`fitWvS%;HR8Z#4HZ81Lqd(p&|=HKL!gC=XhE3
z5jt0T)L7(D)=3b3YwvF}Pzaz|35yQp@U?)u__Z
z19a$eKr}VLdE%OYnja87mw46(i+jyeGDzS_jYQEgNBnCUu|Q^?g4T1F@i%1eP4ZY^we(^8-CPJg;ONthhIVnmGI1^fQY
zCnarmI6Z1?di2ykN7mH3_)q%wO0Gv2lod~#SD@}pn$cpoMHYuB|2Tea7fs;7`1OrpYy_{ZCo3cSDRKnF?gT6rv
zUdSDbIB1MGeY%T$jb!(qqQvo|gh5h%)F$?l`M{joJiXqivnr2M6e|4=y87zE8^#Jkn)4aV#fE@n@P72?1
zPXA}N(ebHP;EukhRTID(`ga49>@TK&Tdtd&`~F4+1fHZ#Yyd#!nw)&FZDUtXk@FJE
zJWz!~EF5j9%J!P_UlYz*s^K|MIU_~gNoWU$cydp@H|$8Rvtd{?{Q(e&e(nE$d`Q#J-cVoM@lqw{rAN>GoIc%t*7LLN4c(*Js$;!N6B&(s2g(IVl+OG3
z=VzZSVp?I1XGcgaiw1u@G6q92IIk7TQ1byGFRgpT3g{1T{G*TTD%nvU4L?07U15Y_
zHsJ7iVt1+jMuSz%W&a0E@N2$*{MwRT%6Nl1^%n)yN2vVuA?CV1b*)R-P09CH
zn!8{VeK?@3^n`}CLQ?X&0avgr931Kv78cP^mZQJAa8wxmA{_s!bAX8&ej^P&09DAu
z_S4_v!32B-6?eUe+h8QYxSu#Q1cSm05n4G1@;^1|zXB!-U-R9k=kz}yz?woy2Jm2f
z4-pZO3gko}B*uWZtxFQ3K3^m|`fY3}#y+NK7DRBgcnWzWpcVB%S@iKhsPsL5O%5&_
z)-bB{`0+c#rpRRQ0X4-4sduE@F>70;a~#0~qel7Q7NoW~T1c8eUE|S?FW8(tdL9+f
zg%k%h9?-PFy3rKDEd`<&G>i3sCq}ElEh>97Y#@6Ay|lBoB3znY|M35tvBV2;LMH0V
zDTIHHv)C71==GtroB@^uTxYgc@n8B<0IbkH6HbL#fYq_(9(PaDi_j{MF0tU~VDeg1
zWTa8y7hBgr@un<}xF+S8`blHtn1h;I&L(8K?d~$q3alhSpfIIsPG1>hh<@AZu=I<7-iuBT^dlMj=j8^
zq6?}kNID6#XUzaVKw|EjP&dCsA~6Y`DCKU$qPYio(7Iw++J~u|vA+VwsUd^sj?|aJ
zV&qbp{m&ucczEOI8abzl2wZW*=YIM-B0k|4n91fCknkr!WiX%~8upk_I&SXl`W$Kn
zg&A#no9xMr1tbnJ8_mgp&LB(3qXn`Rs0Vt-=v4B$RpsR5%m&Y}RRncrIm9Wc+cs*3
zJsj$5R8g-{BCZ+9*FlU4;mTPO)@MUh=>lrrGN>y#gCWk7`^GCqWo*$yCpTUhd4X#~
zqliyFWUPiCBm8kc)?F)Gt$Fg_uYr}d&J3dOwIRnuNRKP1sTWWO+DHUqXkV6tTe2k!}xzTmf19-(*5q*6_&q#8-_Ut4h>S_
zlVeY*K=@195+%gjITAT(9MMa&6p$5
z{j?DDinm;imR7*M<7<`CJTl~L(Fy%q0s#3-O;S?Qm?0hlp_h&k;3QlU^xc)-8Fqp8%6O{2e2#l+
zPkuj~5UWw5oQV0UO@e%sIfw>%z+KW56EWC^Fb=DBT`>L?n)S%wa>`~)`CNvf()8kK
z*K79Dw82gMlx|1K*!3U-%QoPSq+a>G?}V>MI2jV&EGml!)7&E0G8hidzIQiS{Pp3|Yj^TvhUs{{
zLoZr%T)bmk6+2b`WkR53DS9jVc}mF=EB~Vr1dOW0h~s#?_oHFAwUTUhayUZ1+zRl4
zBTeo&5z!|QL9T+4E=#BE4A_g=?1Z_vPC_uW(daSEuQo0GbpKs&9|!g%)DPdl))5l1
z0)D{>QV!Qvrg9j1n)>_r!RVip<@Pgu`atTxe|XFYk;W6+@NV9^6%QpwN8r*rx;rBL
z{FLAl{tTACN9*(Y+Lf;7BooPj>WG7VwhgfKO(`jfN1Tntf_5+AglVi7#nC@~6v`R4
z!4=JEIq*TIX98pzDBMlWYdj+);e7awjQAYa=TVJ}gPW20MICqZABT$ByCZ3&iYy_m
z#yqMST3ya>8IIzsu!P8eN#=?CZE>BN_hh6ULRX+=bPbtuj?u
zV#|$ocXx+QR5R<9>k+-UAxFD~Z}u{*OeuZ2&PDRz&Qy9h@g^l8eg=evsVA3$l3?kV
z;{5d4Ges4Z=g_Qc<;}oNHHQ&zGR&7BP@X7_kB_H)^$Hy|A8mvD-aNomuAmQs5t$4^Z*=GmwES_J
zcBWCiX}*?}lET2kLWDe89#{PQ`Ljw%HULY;t5?Y(BUb~m8a&Mq_~w`b9Rv2HIiFU@
zq*~$IOR8hercXJ(82W!P%->MKy?e-7dFK3xOYS?|T5Zq${b5R|55yb;A3Z@ONEI?6
z#hTf)e&4QPaRm9j)1gI;hTQNU>zUVDeT=2&&t5+mSO$ho<@@*VCkMsew6(f-u%O@(
z#^v=qb_&ZY9OiVxZ(o$gsZ7EU{r+;)P2%ChBv-Kv?(LYgi;s>9qstnOw%F#kBF7P*
z*RLhCwWDi3<^A-B9K8Qt04}1#TS4T5vg=}@`-6j?`(n^B1X!ROht!Rmv!4hqADo1I
zqa4~xk0e}1ZA)?u!ay>}ZjmQkz7HYuL<0()4WNKdgz($^c~cG^DmTOvP(}ULw0{Px
zqwU6`K{*IX<9&r!mYqdz+_=$N<>3M8X74&cUG5_z
zWN&xJIs#h1@jv7zYz$^b_OA&Ds*y)Ed4X#-9{v|D+d~sQn2)=C@f0)=dabWJW@#0l0E}|O(vls{>IJ=KX8@i4am`R+3`dyI
z2^+rPB!n<9EUKa|n_^NLL6tx2U;~D%^*grMyjN**47Y_B2k~TnX=zD3>5H!G!mVv+
zbzv!f(`)_}dSiV_&hrHe*yrlxGNKqAoOHjJ*K@0OUtNDjSZ&PHeNRQ@>{UD&biar`
z+mL5qu$Ij2Nd%(=;t5eGOkfw#Jw5`E|Mka@;^9q(+RzB5at;hNYad+yL>T?vvFIxZ
zROgv%OFV+y1Bu2!%|o3fB;?f!_|n$F;eTaM*kM-t;lqa?A;iJRLKLI~MC7^+6Cwqz
zN4`2%cfRKvkrr7F62&>TrGX4cf91+?z9J?}9xg80rV)di5j
z>-#}_`U1^|Fe!L1Zs3K;ya0La0mNZSA$wNOpYcB-FEe+@-OYc+R8glzk_CX$X6fiXClk1fV=CKrvbXO
zo~uXgp(;Dj()g_(G@eE2H-yjdUcP*ZctYzk0aO!gHRQ+$%AqY@;qohGZaOgiL~yNr
zS`oa@N%`9bJmJ)^F6=er(pBzvWvKF=IoqWJ;}ED^bb7A3z>)p->#-Z(>Q?Rf_rsn_
zZHV?~Beb1q70f4iNMK;#(Gw>mVIUC%Y~}2Q(*ADzj%fB)%M>~J0J@mUcR>3H(^AXr
zX*kx7_N7MDEa`sGm692HhPJsf7n_6dZ{}*Ll;MJ|%dy?{L+wq(($~1@zh@2kdF}7>
zNq%3+XCFTBBOk%eIl43Ku_xmBvxEna9(Ek8K>{RNz=jYFpU_Ki0{K$&Rb&)Ke$gJf
zAFr?uzk49%RF;>Q*ZI!nhcgYc6DitlYu!Nf)H6Jsl2q!Z9Sw~0@8E|eOHCKh5m(Xa
zzJd3L)gZ!~X|I{uOzjYL=sT))qs(F~j^tLTFvZ=)d+&d{2vIX+)J!kwglez2f^ik`
zM3qr?qgXK;z%hvD@w4n7P1$y}PtnooJy=ltEJ`pG;j-X7_cphHp)0~FB#mo53_~uU
zp8KTSZF9NDSmw8C^*=1$m5!+O#rSH^u5y@q8?fgRy||kF$7@#cZtqvw
z@G>?so8rUwd;QreXikuK=>u2AL(uJ0?nn*>QhvKh3M397kafwWSl5%tJjf}Cr!YsV
zQu@t&!zSS~dXA1C%H5zZhp2&0%w2n^+qBTYZ)oy^W_%<2PM&=1E#iSpyIMJ|vjr;oP&uvGC9)`@mA-<|bR8Dz}
zyvvSFYiQ%-MP}w>RlA#4Jbyln)6EU@N0B_@3Ax}j;j`~`=b4=
ze~9>o`vBnwg|HzAOGOPj4X2!*nk+>dqd_RJyUT&RpcM?*e8~q~fdbwbQUz0
zK%kJ}m&zO>!>Uz83`?sP>}b%7By~ANX53bA8Ky!ujQtDbsfNbUiEkB;D*TLjsLcC|
zNT7np=yihT738e-jSUnTum28`e*~2T?<>QnN}}rf@gM;NTAin)ejbX4hj^;-mOn*d
zNg(&CYV(!%9((R#eV|fXy)aN=IgP<)sJJL9Du#=Bh(hb{oD#LeQs;`ADrB|f*(dZz
z$Dv3G6o00m5o!eE&8x-WMkh2IvFD6DO$>?1jH0Ed&K#MNEE<sT(`5c)1N3VNny-)Te;@q|
zLq_2TqQ4L=kRyoYogPan_1W;mlMIZE7qHE`tTzk)nXW|Zqmw@uay--L4UPSByFVGv
z-lTq7-IQry&zw)?iJJTi>6^co{_9GMicdA4vV0`Eu4+#xRLA;JQze>GbrVabV&JmE
zT*!A+W_6V@q15-k?u9OSvG~Vsm7$QZq4bHHeWVOXoV)xf+w3J%E*^#i7s7wS(f{KS
z&}%Ld$mOG>1IO=E`@cYE(=3k^6~fgR=R8d-P8%dJs24j)89i-{DQtLCnVtIIBmj-
zcQ!4Ffzi=#Kt6o{
z_2O1zYEoIducmBKYKd5_&C$^2i
zn*UhtwDjo5r^6Tw<{rF$Cd5)XTkQcr204GDhY#<8SO!rCx&&-%4Pe(D9Dz~6F`s8?
zi|nSPyn)&OEXfk1fk?{6-F>L?P>fAQ}C0G?JfI~fQ4g_l`a
z@DU!%f$#be5CHKJs3!jowSku9kM}s~Sy_o8lvq6)Y8gC%Eo;`IYF(+Xt$dqZY|Z6E~0^t~}sjauBfyb*bl
zpn7cf9J&|=`%UlQcbfAZ5-+I>z|r}E39|5H95mV!Ahy%r$suW}T6+8VWV9Ibe0s>G
znr;alo>7VEZ|CP9QJguGkeAomAOEdDlMRx-=T8pAS28h-v9yLZDp$n+2~&|9TTyGP
z0>BnZVnX2iS6CL0j2uDoG+4jY*QeVK!bwPP-9l%$@K!d~v(Niu?--ulXVZ!fy2R27
zbs&kP2qn}MWLHXUCw?wVSZHWygou4qFMOMt)@AzLyhv$npkLN}{-SJIyR&SXzn3+1b>9jH538zXk1>P70o!CTeTZpQ_mlWzuFkO8
z2+73j;^GLbF*g=GDg}m6=!pLAYJ8$KAb@QDv1J^erAr?XKk{*
z`Y%#M9LQOwT@HZE6A0&{5%E~fq^Ib5ha;^N*!CL`+5s;e2cG^+H+L<4qvoZyD(v#=
z>S~Y^U$<`E%bMX|7KFVq7v3D@tBbW
zAJM8H%)43WnUuwAf-}X+%O63A&+`$(=G67`O51cbI@e=*k^m358v$beJukj-0R$xo
zb%&67fTiji!tjpXsYaKk>X{)>`S%XA#x_Df-{)C0#CMs(LLc8E6p
zcS%MIRjjYmA{ksM$7}W;s6l4V5HhI8V?*qPx8<|}R&>!arZK?qg
z5qC2NpcfIsqHx$aye5hM6~j%%;Im%}YV*x{*x%5J(SqZ`Q#V)Y;X@3(VCWh6o%nrg
z4D;(|1oEMB?vvmH?N2I>Iv@%^x%|r7yI9hfs&3|W!sW3i8TAjj^n2eMpzFhRIE?k~
zQ>fu&X%-SCT&_3!%x|;s^VXa5*G{YrI?&-CI&{@>{vNe}^=Fd}SbY){w|@WrJ+e0J
zQ41!WwhxaV03y8))pUNR#UyP$Zthd)s|~iPmuLFVf|Vq#o3}@;@FKJe!#nXP2(F7O
zDV;=LJ;h;dGu6!oMEv-f*N5M|dxuuxB1-qs9r3xRds|g|SJtS3t?(lE;M}uSAeAtb
zjvbR^ycfGvXLyLn%}CT7l0>Oopws!jmDuZnK{|iJ1Hz8agzb^m6OWm_c6?TSPaNKL
zHeUrNLs=Oy;UToM6W%vL5+i7L16=hTr8ta!eK50ePY#Xf`pBWbYAUqshKsoHQSq7k
zBue>*vUseyCajiRlWjH;FsP?kp6Ve*6<8>A>vK{DL`J@XH@YQ4rq%%0RY!PzRKuyu
zv`$m?_|*=%Yl>V$lUeTqV`Ke+?A``M59eNV+uIu6^8-WokLlk0)6Es7@CpV{dG&$+
z!>$GCgcc-|S72itffrHOY1E2(jKhX*%eu>*rCoBeCsz;s2oz&IVVVDeIxdPL;eA<8
zK|QK(sfI=|uo98FLPM}>vl<#N$f)Tl)6x&oE4Z0RbZg
zv+#xs|L4yMfd8P<54dxlHyKLE$(?{^?_)uA&p|zNdfbbWXP6xj3=vOwd(d?pMjD54
z;5y_9J`*yi2i1aL_#1N%z6P>7F>I&^Zlj+dLA|ZGiU>N)LZ<}T`SZsSX)wC~3IQ!u
zbmL)2KP|T*v67M!ym##i2AcO?)bpV@&o?;)?eTg?hJ9bVi`AVZs}w`%)kDaG5gc~db9Lak5%%K`@3;z
z4_H~-uI7AEd9u80>k6-MLje}()i)$0UO!M_Y0FgSfVFl6(4d3HHJ~gY6AFI%^a)h!
zHYKMwz@^aLu9kWF)W!dYx;Kx;`hD9*Z=zC3vr;KCMUfIALuD3~%wsA-nde!PL{Uo0
z9GS^X87oPsWKKwlgv?Xs_qf#e`Td^veV)Ddv;Wv@?R&MXmf^lX!}Yn&^E}SuJdWcp
zKvca<+Wg{APjV^Dx#p3c?K|q%AO6g3YCoB94{te{T%S+F
z^i$IFayZ2i%PLAxk;q+_Go|^tM=2iyuBr{NTrMpgh@`>K4=8UgI
ztzKGPVQkCybk1^gsCRNoDEi*KdF0ZiONoZR*!wWgeLPaU&6M*g1VjumxcCXNE|JE>
z-ma&XmXZ!AkV(-iKXk6R1Y#_)fsqc_dZmCU@Pt{~BL7}}FB4nI8%!SFLbi+CM#Rk{
zPB~oLI8r-R#?9^Uy7lWx2T6EJs}@|jJ9qAQA>{9;(mtBXv{+1b(kErbb02)IXa7T$
zUg{WGE7#p$hKjpSAKLr<(!)IW$Kl{@+}GZm&{+3
zSZhxYWJPVCD;XF@&hHZ!|6=+GbT8FU%4ltF8)z~S@VU8rV6WSE@9)AF!uJ+#2aFo!
z#6&HNbwZ)Y#ALks-5aRgyo5BW5;$;0H8NZGG643MQWettoGa_$XA<1k(>TxQ+agrO
zw_)?OS;jY1t6iFc6jL39BYZz;m^#+a)P0CpQxGbaVVu>>9mY^=mXp7s33I7ek-HY;
zC>fkB83g2^Ttz6zuNqo!E?qZUVx7zyw|qx!FN8*e)|%L
ziK(nyBJ83IysefWSk7t?0=*+6cK}AehP1<(X1HZ$$ksBmeG>bX@Loj!rz=`AP8eDV-K$_rqqIX1k6TLa>4+S4HuT~=o@MR9
z<+#h2nSE)Aj?d_0Q_4XJBaG14-)gk
z3^(c+NXwM6hLLeuxUxpknM9S=2uhL1oQR#scKnkGVAeC70#~oHORvX93CG@f;J(5J
z@$pq`oTG>3watgES6}8t3x%%HW!&(W#2W8Y-wij5F<%d0@a`{``La6s7BU_~5asuU
zzDJx~_90S&K|T;27OS5hSx8~3+_!YuvU8|MDT}cbkEax}WVcomfevh!2onph6$K)*E9I1wXipwK(F3*Hnp7PjB)|&g
zXD=9B`blI=RptsXj=q_6+AGc<1w?4wQ_DV8yZ~_C3B%Al4IfD327|MerCmxK>q&yt
zT?HK$m43}c8(fsOOe4QSF);R5RFz;09hpGTY6JX?9Q=0rb=jyh^;P@qZ!Wp-Ie(LV
z`9Awz-zy7`C>O8J6mH$Qwx&obuy8xo-D=GumxIs^@dx=P+oXmXu%bfjIt18bCMI0^
z?&E6l_VG%g-n&o7MMXtXz{p>P)Q@F3HHuR8WNAA)0m#16U4417#|aqaM@*uhH!^yR
zNiT#NfB@gVebanq#qxm9K;L2xGYdqC7#SfO0jQQ!14R6sXUTvtO@ujXGd_Vly@Ik2
z{3M^~W|xHX$M`yf11Sru(L{B*J)Li;Vs}>$otq{aO#BIzT#~>D-A?Vz$COQ>+efrg{n8rW~
zy6oiP$Ehlbd-4j|pM(^2Z8Z8h7OZZAb-e}+-y9FHRfIxj-hUfdR-NWQ$U
zmA<=jVL|sETD)fjL)!$){X`$u+R3$@JnX6HltTN``h&)*LLKx=;$J1LM`fy~ZEiC)
zKVz7|wD!rxD>dQ%&inQ^UB7W7CMxPh{Es*2q>S|5M-OHn(`|kKpQ~LjeNdMefAAtm
zk)^AX675r1aiDO!^6ui_%;tqZ11`4AfwHxOf7jQ?VG2!MgVnvr&8_p7m$mItVVN)L
z_Mk|XM)^C%xtIA#)NeSlW(^aQFKXi8`G^UDaOGvG>MNsuTh8@9z4c2OT??k$ajikI
z7kztMEr(hrHhw+RbwNJWd$_0D(7g5a%DX|EHf}ZeZY*O?$PSM7Je*RkqPTa9grBZELz-#l{zI
z-`+2>MiQP5O-`nzmtG04(B5ge^2*nH73;BH5$lZu`Y4>XG_Ij}k+Qq_7~?Djg^zns
zdz}$HmN(AhQ`f#!N{L=p;{n=2B^$5&Ias?!-+LT${6ce%Ai-tMLw
zymv1D*f)-w5j0SvyM6_
zX9Sq;-oMXQ{ax5|epbQruH2U{Yys%LchdaCqpI+JxaTb%j;?-YF_&j(9Fms}I@SgI
zXy!34E+6P-wmDsl%1kiS-E4W`(Z_ezM-^`hRY|-r@y_+0;J8BUrnq#ysqJqX`!Q(g
zJUcgMn4wwdQLT{KJYYwaqn*lI1{}D7mbCkE6=JJMa)IUw17$iz#
zsPV8nD28=9TNu!oVt8UCH;Yl8C^Fy6119!s!0Hc_@K&SwQV=(XTo8|}R3|T{LCO&W
z_d&E+!1BvB?AnHghMV`FU+yr_dK2kG)?~NX>wYmwGI#`x6>yjvCRct#W#Kl_Cal+u
zbb$W&+Qt;EC8Uq#1kJxckpsbFic3dI?CYf8#s^t4^=X$)d=hf$7#PwTkCyWD^J_v*
zXX`FjOKVq#li|uYpgwVQ-Wl}hpS7_oNk?d#sKY9p>PiGFKZ~~fZx9#_tOC!I>GI{`
zEN&sZJzmZagyVL7jmkPMAE-cY+n0NA1HRcHV=)LofKX&0t9ye~T&V=g`Z#^pP>618SIEe+M1dC$vFy4`}1%Gl$5%!DAG7$)IaTpt$Y
zxK+fC3k4n`pz4Y1NB;c1_`CY&qPLdZII?0DcTW4Jb>6QGt6#3un}3y$pKlzNV>np=
z1l|qm{aC8ckbNwIyz4*-_Clq)1G4iGhs738W^LP&cd4IWwC-o3Qv5-s&U5X>&JBf!
zGG2Wf#ybUltD#80oLl-A7c>A7lUho41dB{oDUQ2HTiq
z!*KEf$V7OwSmf6sZyFr<@gG0-;eOvw_YtFCr6vOT1zP_)zToHX%iVzKb(!;egM+kg
zkFk&JYD%7E#Z0}#9Od!OcE3}9uH)LZ&p+TT;v-xXzI=H9-rjLks?+eO2eaKpac>S&
z#xsHyGi5P1zLvPqZfHt#;TQSmBbuIxQ4tN-$`*(cT9Lm3C91zME$Ug&x8F{Wsq&Tj
zST<~Gyrlcj*{XHkWf|JxIm=Hu16CnYH2cZjK5viR*Wf*-b%f!>ViB9$(@kE`ICe~wPb
zdWL%l?FGc;*a<*$%fV1jQg!DIlj;;Zdg>HF8g8wBT1RiITEC!_8qmuHwK{0!>R~Ik
ze~x+J+XQnI*sZpX_oP&hy?d{7WVDXKt3lgBSkbQFe>>KG%mEgJvLyw&h0^QTj&w$P
z?%iL}!ntDAZ)(RlouB<_vd3~-7DQWZpJ1t$jbHiE-KJcnshxc#)^wEV)}Ql!dmts3
zRg-m$w)iw1xJnA20SO{g%<+Ec_`V
zeAhzZz~wi`z2+}GRXnTt7V^hk92`qsikJbJqNdsn1|+xI0&up6
zhpbtVIIl=m_XFXq1I{H!FvFT?g9imYr4ij|#L6pNzQE00ii%Yaqu2k6z_-!TD}Ro=
zNXf{YMd$F4b;q^3Ll_QijW_@o0{q>lOe4kXP4=B{*8)w38r2dC1Zmmw_R+9!_M8i8zu!0OQV;>wW_7ABx8$%%p7-2m+V
ze74P2LnNfi2FR}yhr(4!j-#!m?X)r
zp+Pq)?M+vFLaUG=C91}xkSSR~ZPwsae4Sb!V|D@E6^g3>f|OUK<9xu1E0iFGuG4Am
ziLVFuT|fHmbjIQXbSk5LfAOo^g$9+sO3dY6CXOvc&$*u~S`%ao&7x9Buc5@a4zfiI
z9)5tEpw{icG^H-bbFJEc18dQJl>rifLjdXa2J({c2>C~WUg0ztu%^FPa7JEZlgEu0
zi*TRNBFqjfI_|oGs|?~k`1M`l;>^fhP%plPD-D`l&_uoosOl_IA(NWu>ztPKe~{ac
z7);wH=CT3EqJ@sVJ65Kgy!;U?t04@;#{dn!!$yaxi8sJKDvJg;ZjtafjNXYiC~>>k
z*l17yK(A>j#>*DY0GI^&OgN!m08?Np6hPKuS%sWz7+~$rUAva7xZbkNzR67ggqN|A
zQAGaQT-TS6n|)w#ZUe4b`ofUdvf0Zv8w$DYHX+f;ql?QrBf`u;t(t
zm2cA*A{*%=q*XuN<89(O;o>4v{JUc%3cqb4cFWP9qfla1ZvN#HnY0%dmFDBToRFlT
ze)C4|i%wBxISO=ssNA8=e*ED+Dg(D+T78!u_NixL&wuQxm;k^U+{}pD89amU(43YA
z?vP>ArGN_hS!L6JuWyIFnzlCD9G?jL5!eJP7nhuPBbo=lTJjh`W=yh~A*dzHNV+1I
zP*V>qt$j|twUZ+wG4K`rxM;r`ljM%SUAB9dH
z6@^edvW$bmM>lvKUe@&=P%oiDrK2xMc!(VL5>-QCU=&(qKD}bbEqQo&Sh))HyQoUK
zlNUa4AZ9
zF`i=qx96CjPyEM2zYT+X+4LUXtp8P+I`(B}`T^#P8LOx(CtlggBy+bM%gX;1Bes2f
zK0Ax^{eZ(Fw~emCcT?|f;gG!jnD*TME<&s&)qHy0j5`Azowarx7P*>5d$UQ8ulI;(
z??#27)2TE+p+R1?s_FL4n|Bw^L2dh0&$c^Pc1p(Av4FurMKyaMxOI@~)NP&`#~(p$
zr%w9Z)Obooi4#l-SfHo7A7J`h@tTj%+l#*Y2MZY(+kRY|N3Fnrn|nEvTJz(I54u%f
zbb2~DDXnkCuIwpw7FantVAe80qgye4dcXnDl1(4HGJ+QirA>7xAooFa8C)|%pgV*X
zFDJJgI1o^==1bmOzBqKob@3Cf!QuUG+F7AOmW`^1I+r#uQ+o=JJa_hNQr+QG
zIm;<_?8OIb?tj{}(O0D$x#nBf+1}JPH9UC%^gXOsA0N=N6T
zz$GumBFQ!=>VvTjM3s)1ik0qfcN@K3ItQ@HU=RVVErg<^pg>L8qm}vE@OW41DV5A+
zF=b~jE2s(XHQM1ZpfoX4j7|*Z9l?jeJ2jk_Q&qCqLG6iz%~5EPl$7((^YqHuQh_pw
zpL@U1gYs(@D;rwU*S{v|2_P$q7jlm8B%L^O=1k)E3)K;2&?em0n8PP92MPXfkYILb
zi58x?Zqi_uQ~G_dxNlZ}_p^6F|)hQn)lx!;i`;=G=ui8X~({XWJbyv5MiCr
zs{A%MXwdsRRxvmopI{bw!_2>>;Kjj9pH6x#@`}`6^S$!+@t2g6m27{wi2eUUB61BG
zTInT0>`}}Fw_uaM0xl?yZV3JWhf=q0+ja}8dlU+g#{jUj*8#s8v5u+n0n&dKnC~Y{
z6~vy)OdAnLwYUvbTxMFgnF(|9c)@s~q%u{)_#H%C!N2mtARMJ^^nS!)XM&gVIA)k%
z!0Z`?@*4wi$*Kz$$Z6hyYh$?o5y3@u^X=q|2T5tn?C~jQ>O#eg+4)sghK4Lp^^1Ig
z>3yq>RXk{|@HfGUcKw3fqo&Z=7A?sbaI*joB1Dqx2DsWVWEn(KMKO7K{Ly|0fzvvH
zLkT=|`H?k1KhYNhD#&m9>9p&Yw+21F`s`c5E3
zfUf--0QK4}Tj-9gi9%x#y&>d(h46t1@-MT1J|e{n1{#tZq``JU%7?dk*7~3gCGE#-
z)6=tvC?<_5kKEct?R&4GYj`|FfX-`_*6(ee(=V++HaY|M@r_6YR{}1;bZ-w~MqG>~43%OG+e=zgK$2=
z4$<8(bZ5{kkw(snLx%mN7qU2X=PxA4}D3F>ri@69W
z1GmCf60BqJ{}Ny|+BD!G{oeqrya8^jSFTJR5l;BAoWQ5bz+S)(sP1uF&VB+|lv^Rh
zF(``(prBx5+qc#O5K2A?X^ftc=I!nM3dQu;-oSYCy`KN<4_tSlND8q#`hn5ONwpt`6|B~(kH(4IDa8F$h}I9l`%g4#88
z!R_*Hr5pA1BG3~5F91|5P;Nbs{{}*(Kql$SYU#KJGgzrmZKzH@FTh0L+lfzMsUE$1
zFY^Q+t*oGuTI+o8f|F>NircW*=Xvqvl%-c+#(w%eljVYN%+p5ql6B+RsV^K9FYhDU
z`B{Isp78#$4&dpgO+QB3>muUndZOw!E|`D4n9(!tVj>V?!^ku2?ZrMy@uNK|$7NGK
zpO#m;yNt0thQ8vm+{|OAoc@{VjYpb9(ylN$wq7ieaPKcF&K$^@IUdvm(PlOd4pw${
zTGZM@4u@2!0>&urFyra!BqI{T=(`B_ubaiNR%OdX(Ca^748FS6fVy$_;lt&pV9@hy
zgY$!y^-)kxD+SY=LLvQa*zI}YF*=%P*J_(`{z2G(P+wU`al(*i;W~Nhv8QDa43?spAdOwOxGK6UIQNbR_ra
zLulsfVo1;s_&px1E%jzOg;w>*v;8rvc6j*p`iHP#VNCPa{f2i%oxx=p9Ok33hUP|>
z8h22k`{)m)e|y``KyVAbqb~v8_B!-=R$o7QIX!(JX8UMxkgu_LnrB9tqm!QbTqL!a
zvrbISGu5VG4qCL(7GKe>8ct45Ih&aLZ{B>FX;js^d9AZwi>nuUWK}Kd$>SexhON5J
z_uR}9gJT7y|J16i(IW4F<$!il)e^L&RzI`c1cPJ$$Ir1XSGHhABCm(*yKV3I&UN2zN98FN8~uIjIzY
zO+()}nFgSc=^}8s$);>57}~WTmL}z(O)1bj8(?s|%8z3)t6KaLRNkNbV#y2a*~9Qp
zJPY}pXZC%YNW-!Bcbl!d2Zk+wV(OXm=zls(G0A?CUxS;_f!xSzVhlKQp$&_1|&ekpQ*basT>L6JHTQ``AIlKJ1?&Lha9}c19te0L3
zHy#QZkO?`2{`)^K3d3Tb^Y3qu2>vHNc~aw=-x#EKEMvhas*P)?l$5MwT75`L
z|L2;J`K2{Gb})cbs-gqv1Y$Y~s?E439oHH4xv~rb*$8MuKmp`CCr_UALeus!_FSiq
zo17ovI~RQR?}yt+gTRU70>(AqODj3N%m@b`0=;;8Z1G<2jqgoDZ)z7JKPLLip)vBf
z#zfbw&MZegNf&5X<*x&w?;nc0i}0c@Fk8UTuvP!(gJkLi@p(UyBKnUHN=jkUq5Wu%;jCKoqz1D~ZTSs7!|31N+Ag~3
z%FZaXCyo5m&}3%h)%5~_7@hZqEu~mZ7k>op
z0BOZ835k-=!+#mt!YZk1Ur(#33&LU5(5}BtO96qd*>Ed1({q?7#){!ahj$ZxAV8VVry)sA+^Fhv^JQ=W#(>yQC7DGA|GShPm8=(;yizJ;0#Rq#{>R1+$nZIL+ssL`k
zqT($>yO&`XwY>4|4qwSUf$e{OQB7qT@~5GtHAH$#wk*;l0htjgUSZ*3
zRAgJp#sk1V-J(qdQ_;_6#;}hBHeXsw!P6FRq`+~QaJN4=!UcvRi5rY8?4(6Ah$zCp
z?6t99VBpSb9y6xoHNurQMzN1WDyv!O#E-F>0PtJ(01ua#9a=&%zU~Ou)sn;MGPuLc
zGeed$hok%fVK^5=GY4#<8IERnYaFDF%uz7B8!+EW`%Gehq98C
zDkrWY6=jideH=MG#_LS&y-UE2*$xeyHPRWaWq!A0b|DqTj2Z|LctkqS;VB~nQ)l)+
zA`@J0BNd!bdRQ39-ir{8?JK_A*4DPml%lJK`TBLt%&TK+xFigUC6gPDrZp|$^4PxR
zwhW)F-3>8816SrHi*$P+MCip|!9bn^*Z$iwyCyjt59WgLe&YHc#{0FF8!tr9W@wU2
z1^8!|px}cF+#aDUPDaZwg+1Bb_2`OFQA|K*$oVji)kQ^tL$;;`>o_hb#kZSk@1xm0
zJ&27E|z?!(J>r{X9#biCm$D{)zya|+{QyaRJcXYZJPlP=~+X;i#L|*}(XDo0Q
z`mzHLBh*5cU~B2%9+Hx>;8;$L6Z9buF09PB4uln^r>_BWOtFe@GExgWWK9hoGFU0x
zj%CgiL;@BGMIb#3%gd#Y5S}-J@*@5CT;uWj`O*
z-_XSHZTo0HA7qnA1JA1(m0r}$f(JUl#31#`z3#Gas2%yL-PA{4Fz@TTf>=+f
zbmrAmW7M0tykiXL2{shI^Pz~9Ii{-Il=2vjTG@y-mI&TJbPosRQ26%I>Fi!7BPny)*w|iCnD`2P4y4X|1h&#RwEk{eLxv;A
z6s&{ph-6S2;R>lhe2l>G8pjy037j~HUZT7QwdAs`@a7;!TOhyU$|-_i1l~sgaT0tV
zDPaH+yHx#2G{-p;=QmA*Z|^gWb$<~WYWbKXKL~Y0NR2^3Y0#}(l!z%3jv4N2WJ^2M
z>sCx;5_=M&@(KkSi2JKSrwQ9|8k)W*b8>R_>c^XgK>zXmynqmuuE1GpuexTIGz|vk
z!`o`ABeeTk^LZND=Zi3+Lci_MN%*rPADD(+(~jZxD@YHHqiv&(0xJmKO?V{xGRm3j
zz}{lY0e9;*MCgbQvwSVFEWT07f`7qP4O|h#ZJgN0W1M#vBtDU_w!uqr8kps)H{T{_
zuJ*0$MkWd^y^k;<@ThFc!SonhK)$*yLq)dgY5O-TnkuiHH%PnrZj?U8{l#u_g1jLT
zRcNFO+}Bvn?Ii|CnQA~f9sB(~;3DDx%Q+D>J-Ntg&Vcf|U(&Cv`c~?mS>cZx7tkhx#daAj$BzJJ5N-tMOL}xgHoW
zA+o5Ocy$v%;}w1OZg8?M+X2t=-cSPD5
z$6wbuDwpjquam7v{}FPcM68gQq_@lxiD|nh2pUj%?8&U+ts_pN$TILqK%Rq$k->Tm
zG$JLAD?X}6k5)<8$cl1MB)j?H`%ZQSFk7eLoY6V%LgZ>ull6h2|NeoF7G^k*LB=EC
z6M;tPXF(>7cuu2ZLGq
znW(Qc$01Fp4UREZ6fv^GRxIsUE=LT3jY5p~IU}EXd8QC=g#6KBRFK%ilba~wGL`_z
zcH$xkv`#UJZ!J;j(StfA@s-C4eZw=?(9YAMZ~QI
zpqYdDOkxWdZ*-h;=3r=2QciYCw6uGr``zj@^EWL0lcG|LrmkMBtFtpo>Z_;MA$0{Y
zzlCQ)HfGxpa+CszGb%y_w&GI|Dq7JziAzt+Xz$~B!<5uP?sLRX3@Z(Sp^&bXCx35O
zzTJ@~cp2}P>jgfHNyVPfz<63Tp$#)y9U>qIM%|P6NRRx6v?6xpjg~s-n;jv3wL=TU
z+#Ln$IJ$x+Pyv~SpLh!VdJbwf@<4tY|H;j9c*LOlkI$1r?G-MhBv~k2W77(3?)mJY_aD(GzK-^vP=O$W0
z!w(bb!p75>3&PYM$n$s1dGmj=$`euO6Dto%}q$B(0Ko)!#BdBcRo6r{ILm->f;;CD|AXFtk#-iGO2$<##qdbIk~{2
zjW>SXI@*>R_V8f>9tZhA?5`)wmM&vu4DMu=M;(yuFA<4bf
zp4=@VVSqM0!_@V}U1zB&cB?PnbO=d~_r!&~2zrN7#G=!kDK^3o{&O;Ki!ZliIsW=o
z)A5POEF$CWLl1=bzO5~k7Eecrbs}j=`#)qOM#}p$cS!XseC0&O|%0
z{vvjtSOWJ{4NepLVe{IjMISC>2=qYbCIA_CFuu0Ka0POGd>C0cKHD&`**3
z;I@sYpw|nRc;e8uWa+ApD7r)6U2BQp$6iNL2*V~@oOGXP`;@X&TFgM_EbabPF*TQ7
zsDHB)G0M~F=21o=IFzyRTvo63s`Rs$U^22l&sIUj{A#;E3v7a_8Dfb9VOew1&aS8!5+{PnOD?
zu?~Ma7hnoLVt>AJ@`_1O&m^6~V|tydO#0@tTKdt}xeuvDPkEJ3VXCg-OTLL;5SV02
zeIw#|xrHkvClG}duRQTfXJVJY3i$Y()_AwQNU3Lq`R~W=gOjph6eT!aWA&w?u#Jt6
zheI1VZM5}VVA7Wj60+Fny90(7l+6PkLY)?PUTk{b77;s>m`7(r&&{a!7h2`jmeuCn
zt584N@F~S%+tx3VmvTNmnSO13c0-_UYQvC5yK$D5O{8?y7KeflCf}rKHC6^Tb#n@j
z$K3xkSp8yo0Xo#_<`~@a3+Bz4(%{xH%r9J!n0bT*CWP%=jQwgmna1aK4Kg)JLFYr_$b5i26C~}o
z#^AyC3ZjweJgC80{Eac=!L3;+b=E;PvH?Q~?4U!)wm^;Z@bB1IkQ@(*#4N6TUM!0{
zi!$hjEu=}o5?S)~%1XAxHpK~|yd5}(*k}f%pcit)zZ_hx1kRkPH{+t0UF97rYXtD3
zpD~3t$7lgcvs>pnIVJA0&4FxD4^O%nj6Dg2B<$X)-7R@xgU~L?7&V?mAV``wSVTp2
zfG-le$#L*RpyX=`xQ$87#qQpgqF2t~;gssXKh&3!b>$$dcBPrdefrWn5N}h}rK4Y=
zvenx#@e{Ry9kR>gb+@bq9>eIS!XiAm4RXAwrBupmn!Xm5n{{ud?97%_nz7_$*$QF#
zyQ&L$>9KhwH|j9{2LDJ?Jm$m+Hm2a#=L2y>+!9@N!(f!KVop_aiB9iBzMiWS*fr3!
zc2y~n8Yh-W+m2kMRgOP!D6q*a1IhGme*ROiAjnwF{x%`;ZmCA(8h)P2z4rd{;|DmJ
z8XI$6&bFBhIR&z_&$pio@ZXVUT6}Ctd&C~vMmuzr6$42o1Y9Ad!g>Zpb?NGn703NY
zA#A1v>XON8XTQ_J*3lmO6Rlz%M>_v_lnSu}zuiH+19luu0n+F^ok+WKw
z`XIAoN1FGJ-zhI@c2b$aaQS&P2I$xItzk+$u!^=e1FW3~3SJ81bmw^3x6IKiJ3^1N
z!gdwqqvqF+QS6B8Cq};^TC&Sy&d8$4JQ6J%^bB?G-DU3Ia%zLLIeZ{hd^dIpJXBCehhoN$w>Twyp@NJhFBI8W4Ht?V-9oYT*)8M2I
zw;)e%aA*BX4|i6xi+OV9rRe3Df&IA{ME&@RH9awZ8x$JKQzt+Yo4K)g3HlZxF)=;N
zk2Ij~NVMaL8z>T)6&{0j1#O>EmFj!W+0#R#4FSMfiXVH9C-P8xXxfvzq97+nywQ=J
zp6G$ljalvj#21oKj~U=}vtW}>9}c5QWRfK3w8KbVZtvL|29Kd7b4{Le!TKIkM#O9R
z0k_()Ic_CU^vCWPvt!|R`OD@WxFU^Dv{?4ZN=)A+Ch`~oqa8J<5n0A+m~(EO&}3D1
zoVp4dwZMWi!3io`l?~s~dZ-Zzolt>z&)ut3FUL>96WMEUlP7*P)
zQekd-roR%cE-|#aw4YfSX3cRbg**XGpA1c@DJv@vt*(WdT}78o5AilW^uP-~oxy=m
z+UF;VIjo)_wJwQ3rAu_!f)5U+`c-ljd8AAe0-z}Y^X
z|3_yhjpYTi#KsA~2lxbdd88i{JNwvhk9cIY%FLdVye|}>Y+pJIeY%5zZ6f6du-B6x
zMenKVnlnNL)**E}EHL*-?)bQ0vfQ
z0T5u{O=nPMv{*TIHok)`=6w5Ugldl$mAiYtQpNjW3nRr$wZuZ<{CA1@W5ih;&cyM=
zwfJ=0abjv3Og52^1RekubDB6v&Lgok0fMW5FiCIrWN%?u8zd+d_{8{lyx!4iojH`V&%$R+LloPY;eFVS-EMaMFJMn
z!)E=Av(m{o#-XyGn-K9X(EO@>;SV16&nf~_9eg@D?@f9dQ$t%V919GNnE0uw9n3c$
z^pLN;6(MG4>1}Uu!a*dw7sAiTEX@*ye)4)wok)D*(J9|BccAlxNo4+oein$2GY4>9
zlE0~$Ao?(RuIe?ZbL
zA3jaj_e^`;7WT-i1U$WZ(BrFTj%iDO#lBTW#>Tn7NA0qS5dwSceAeZLv$oH5fnvmm
zU5bgpPnWKbQullB>lu^mS7$d=(kFW>QaDq6cekv5T~3z!eD>$|X*v7cxmB-|pKbXQ
ziCD)}<`}(CQX8y@oz|AiczO{juGd@p{?BS?7&U@CLWIgOHzZR9jRFCf%HDCG^C*Fk
z_C2;}(-2Z)Lq7m18Kg5JP-=e}0Axam%6KO4wbYCq1_V85_D*A&v^-I|XvPl5Q@CrN
z25^^ye5nB+!C}tiuaaK-L;|1d^9}<5+2)S@
z-gJHnW1Q^r03&W2yC9L1?1ljC|A8dEHG--UF&0Iex#cm=%8ST6pTc&%%VJ@0VSaEL
zFxBQVpEW$z2UZrc-QIFQ23Ds4Q2>rEZ@en{?{My69HLN90h&CE&N3H1T*?G%-;nr}
zpbRAy2hGJ|r^C#obRe4r+rf~Xi#q=}xL;)rR%IsjmVsShr?=0ujbx|r~X6)feakMkf
z-z2dP#i9nfIVWXgym_B}rPg!p&tbXf4+Z_Y`_%>uX{L>f?z%pYo+)}M^c$4y2DeNL
zJ;^#~O?+lz#T~=TYxSC7I!H`=X)1)x-2%fBiSoP5OwAhvEDCFs^P+~MolvNff?Pt$
zT-(00+lf_&m9}59)>o_)@`_?v7q$2w3Z-Kcd8@^jwI2;!;>gSEnKbo=KmV0%WyJ*3
z;%leHT?*|QeS7<%$KM>v_mR>JzuL$`wPI)C`tqv`^p5ripe99LDK}}jywYzy=|rMw
z9AF4e19_z$lUX9E`R2sa2k!@i*&fO7=J#LpfTBco$$2@P^{C^K->>9(YuAy&{k+fQ
z1YPG^t~rk-oDbpmUv9D^uD81D#mwRX?)0!;>BjkELRBu%EspcI5i{lE;nQ)m9sy78
z4aSfU^7<`JoqbQ_Wbr9|gWGHs0`AitZ$mcA(on)nBVrbo`-e?BCENY{-AKNLmk-Cf
zsPH@OW4&#Bu!I;W5(}v8PP=_dit?EM
zHhj*ubXfe8(m405u3@$7y6SowN#@IbI9f@O5ApJsq|RP1tUbr)?(*}*``oG7A(bFi
zkNP8PsU*9to{gOAKcxHdQmCiLTscQxIaw_f5ec07wcV$;P9A10=@B(*aV$A=l!3B*
zpON6BL%bUzOO&@xzWe3nLw=XC{U(hGXU5V|9$u{HVmjY3$!X?#!FUnMECrGl-4dAz9X<
z6ZUH2L*Ac%`@u8dyq#81_4xRhql))==Q{XuZig<}(z{xg29Faz%;|W93{CZoeTk6O
zuD?)Myb#}-63Jcj!&gO>Qv6=yVwl@6!4T7%{vE>_eRD+tISJLSt{yR=OVdtYc^N5(
z%jD!}V$b*}g2sKpKPF>!Yy;py7_!dJPZX@L|33T^*?_Gp^`rq)aUq&o=@9Lk!$S3
zQg`mHLHXC~mM#D4Adw6Y_B#7lO`PWXmHgo{Zo-|e-gv_c3r{OXT`Rw+hEHC*MCX5}
zipp+}Y|}lB-(hXfK3|}{5JzA0$n;pq;e|BId5*N|_zki`U6G@gRv
z>g($_%bqhQZ_E@$`KTPGC2qfC5B|l5D=lsUk~2e2hmo{CMr`FmO9ODj99SO2!b55f
z?4|=s5r?%<;=ryob9!BuhsA};~_vty7q7hNpaCjQUPTuwc;3oZfBF1U^fb)uC+SH&486uJ$=D
z=EU!JH?95fuYQR;3Qz(J*F*Xe3kR%X!47xYi)XO6Wv_2?bnhMZbX01pcT!W^*y4l>
zL9z2d&}78Pfb%?F@D9bo1-g_f|k3vtFWTS}HD(KN+RpWmUKw!oB5#<^YOg*vn04RI_pp^)0
z%TJf?nBQ3^U=$Juv)n6v))r5=!?ZK!!?kBm;`{C>*Qa=;K3PWp0i7%ZCj1~axZOxyb?mLL?7a2o2
zMV-CZ1L(7SASqt#G^qtbFiTOEGGOgBMqEd|j2oQ%&H651xVj+3UNloyy1$e@k(!e2
zhvQZav@6@Fam{@FfZ!nLMhbz*a~e&~MtMsh1HQx7|0yG;ECXMUfdE6)DWBlM=U7i6
zgOz1{+0nKiggF~oqPG9JU6NV8#csOxUn*s)v8gBNwa@BxJCyLsoT54u{=B&R?p*J8
zbN%XX3%#s$7rAEIKNs`L#tqir*5=x$=$cRyNd=^sVag32!%wCkHO+Z=X0@0evOdYi
z?D~s;G3{3qnrxI<$As*P{Ia&>A7V(
znz~+jpZ;jSySMHI9oyOv5YXgRP+oizM1E+RJBZxOu9RLVTjw|d-k^+r|Ni|a5FyY*
z310d3E#S3#hMQrbWv;-az1O<3e{lG+&SENb?R;f@fx){wrrylLcF_}2;vz%3%VcRO
z@c|GFk_*HrRa?6G7xeA#R2#r&$wlL|eU2>gquKBXO~A~sumYoRm(Xu0`PTXcckZ2a437p
z%-f;37kdU7#D7Q4cYDrrY8rqU7K0hh5IA=x8qc)j2@8AzMxqvos==xT@!+jWG~8i1
z20WP6pZ)7HiQkvmdI;91=J^`=2o^deh-oByY{rC?0A>sUL;%hJ=_K)KqCXj%Su%_$
zJDf;rL7*;F>~J`;N}sp@RZhaq+^hR6y?Gurz6v@mV?FT*+?=xBhHs6t2$YLZOt=ZV
zaOA-yv$1SFc_nkHh-)a*@fAsaU57o3I8tSt#>cleKOg&?xzN06ym_dsbR@JfE=)>BNRVoQ$)qoR+5!7nPzzJ{A!AY=dnDKF8nW&)W4
zzXTXE8ey0yoqtB2@bp=Sug`b>RmZSNH((3`b0-ok-K5(472_}tiO5@_E~oKRK<
zqFyitbw>cu9|GSS*P&P(M<&w?+NmRmN2=g9|_8hCk=b3^I_&kan0ncws2gy
zY6NFr7*GjzOep5kHx7rS-8WIJ>GUhPb@u$;CSdW;+Xgo2N&Dt50uGjQL(^NtTz`JK
zmAzTkF0igg6?n59JVX?Wj-a%xvdB{m>^fV8hqU~AhU#rbR9xBF)1yhSTm`(gcJh5?
zrLVeX{B?AIlArR9JQ8K}7}9fgx3E_dR$R~fo6GlZjxO#RfCd6$_no|g?Z3Wu_v(+sCua|DXdJ5z*!H
z;r(+5v_1Rgn2(Jp(tY^p*3@%pW{Z!;gyu5x1ia98i8V;l?+F%k`Eaq3W_^@ipv%vW
zL9uOqA1P6K>}=W>?kw~A`EAo;4ujwSSM}EM0Zp|l_r#?~4xm}AdE*urN;LA8*t;xF
zEvY|>Wg4b@A$fW!hknKiv}No>uCD*7dE{(c1@!{xf`Ir~9?xq_ouOWyj3L>VPwmf0nB|Ei>n#k$Z+goVnC#opc?Tpe?@cJzE4{Nv04!gIi@5;sEg#yXG>7~Ou2
zPVLF525p5bbliHK-dzcAyD3BQEqo!LM_i&`8fVe&Xz6!Qd}AE@kga0ht*_^J-WccDzO#^+
zx?68Xu4B~bF5J(bW4MPgGzyAvnaQygFb_t|!%OqV+Ca5)Ssm8*d+*&=zxBSyuCmAO
zjmWJ#DciQd`Dl0z=hvZhgeS6a0J_qggbK4c*%BBj@P&O^z
zTqJ^^x$6uZLRU`>)UEwWrvbU)@wp56#fHX4Jf|Fuk7>*iiWL)iZ@eTq
z$HJ?6>t{G`20mHO*;{{Q1uL)*c^`Z7L-Ja)_uua9zwXC>4TF^J8N#2uFoi?i?v7l0
z@m;?^?OPR#i?{2EI{&TdPoTcs#}w^%6Xnd76CQ1uXD_LX`qx&RGcEhXRskDNF=1?cX=cZB}gbqo<@?Tg;TKLXw_7ebCf*J0Z0xg-%>h=`?~@&5GnQgg0a3II<1u
z=xpt?y7G5dl7Ha$XHU}ZJ){7y?>N}Fwh!j%ULxRZVj|2g-zRQ$yz>u0`}h9ghl}^`
zM%A&!OZGoUiT?cAfA>87-(B_p7JT|I-WI#%8hWfrZnSGTk1$FyCf_m6Cn*-F*vy_lIIVl48k9&#Aro1K1;e!
zK>qf4iESyC(m|KbKCal}$2WhXilW`M?ABv4Z~bd;BD2dI-IY)#AKx?=&?{g#LIM(rFXW
z+<*qe>y|@(FeN`f|4x}bNUkKM_^!pAm5On`O7x?wGr~U>MpE$twWN!@w>t|iA63X@`)8|bU
zEj=0Hp)B*aUL^LOr#U1qEOM2%+B6GyhsB_+s9sj{*`p>fB!nA8#!E-@V`ydQ6a$<3
za_Ys=IwmwC_{Ol*37p%me5a~wh5nxO+WElVbE8vkNR3Em-y%G8dEggM
zMjN*kQYGy2n7>x~G#!E2(+6zhU_k2S5#)hTh(y2?+TG&6nV^RZmJN_V2^t>HZ*8)=fW8jDW&3e**bx%bRQqQk@*uz
zy?*-4id*?9o;bmve3ZD;-!ad<)XbXbk@s|xShMwTR_vx=df+ib$#xP7CCE3}PY^38$YVx
zaZ*i+TyBaPC9tZz|JcobG;s#U7V@`DnQ85V!3cW$kKFyQS~wGof6fhwU6~rSYT(jU
zo1?Ha6CiSmyd0PNA>nL8IA71XD`;=ToEX+L21QhGNVrJR0N*NMf(qgZcwbE@q@E&&
zuiSTwtBCdQ`=)Mmq&u1DA@loxXYc-}o{K)q-|gWi#aeC2-v$7M=|49B{=DP=7hC)P
zAWr{JBF6u}-gdDXFfsVQjBt%z!%hOwO!fJ!4+xPk?@M|4_U>&!$(;x&C<%RJ05VPN
z!Mf2fJo$O+zz364x{LQw$`@(H>$@QNnSl=o;>OEvUq3%JfSf=#`T$-A*Y#Yg5pfqc
zkm?6ezkb9SToOzX&cPYVVr&+mWi0SQGte^;fA6<_h+ORSNX~q3;h?;}Sy`z7GK8K-
zi2-S0L4~QyPQ)IwG6X#(-EJVNXw8iIG(7^v5*+92dio&r5&9>dZ)^c9EfD9`O)DJn
z#jZb4G^tNKo)r`nu*WrE)+Yy)_)R71izmV=jfCH4{r|JDYSGdP+BI7br^M9FZL4MP
zbzv8%LBEq#-erEO`yjADB)#C%{fmjn7(+OC6w0Y%*sVIe{yf8M*HfAw!6FwU`0{}m
zL;YmYvIke;$=Cc6bI>}$db|qf+Po@<#XmKnL)x=u8Mbsa9UUHdFo!kX3Nq^1-DNXH
zve2LTo@kaLyHiJ&1}r>ekC4)7)bl}XU?oKB@1$J;bLT+EO8H5y+9~g<97*Op$pTOzCVY_H{vdk=o0s
zgg3`p@U`E3gnoT1^7EIr6)UJSwE7Qmu+_JpKZhjxoT9Sw16WMka~+|t&OkVN_&V3N
zTNyNDC1eS|b;0q$YR57%6T>X2xj%+<2vZK=dSGvROUT8R))7gPR)sOqom^=x5)LMb
zsTwY0cu1Y=$p5PDOQ5M<-?lfUQBE3=q-2YvR47A5h1z7ElA&SCoXC)L42_zQEoDd~
zDswW0P|1`jB0^MTmO{qxUeDH9=dAVp-|zo@YrX4z*K5^Tt%KkG4bShn@B6y1>$(^E
zfSXmbYvG?i5VQOos6K4DFOaH(%13Yp3`RtR?QA^!X|LLXWg7voF+wK8Y=XWIO-!Cp
z@$vvMm=T3F9EZ>=&^X(!L>`;`y|dqBNLPD%ll=uCLs%zqq+bk7Q1|H3`*>>0T)4)(
zu*Z9ww7X;*O}aJM=o*~09?iCp()TI9hQjGu@`}qxOP)p5-=%}SN9Nw63jn125tIm}
zT~6H)7Kgyf&85FN0obAyUg;AJ75F}R<1wyycF(r(H&BwldT)rvtb*BouR~W_`sKd{
zPT52Jb4Up(1$q{n*VEY+jU=FssDV|REt0z1*J!aC57`)QgbLAd@RPKPwS(=6Ra)FZ
zN;_{lu}6RIS1?-2j!O;HmCw|YKG$}wrN2&z+awBUrqnYr(1*}z2}Jcm$ir4(?t;p(
zI~01I_k=KmPRXY1-mM=`m2Q05k&=>vneWDv(4-n5{6S>pT)4s_)p{jnmAnP5Juo~x
z37eeaT}oQF5>N`Sii@)!Uvk}X&pd#;JSH~Qy2G-eu*(TAnmXPNJR=eN>|ovSo5|I?
z9A(3BE%;7)O`k0u;7f5+To0%bgl0!^%Nu*-Hr6jYxnuj*dbIGXFz6v;iuA4G>OaST;j9{I$bhSQg4lWGOm(_MAWPj{SXS+BM)>
z7=UineKPf37rXB|ykmA+q`EuNkPexKSsQlUP%#ZqprAWW#Y!g>CBlM=OP7Fg2X?q_
zU%78jn#NE(FYbR9#ZGZpBO#%~7=oJn;wqX4c59k8G*FGH37{ewF(loFI?b2HoQsOr
z4Y!{!bW=AVe)}7q7hU%ON4m0PA!ik6G|Vnm_h%CKHZw8LrW*b(sZc5FX#O#3X-
zihGUu4MRs(T!M1HJG*7lE?}Ecx~)GIM7yZkMkLXMIYPCS-9Gx;@z{?1vLWBzFyZ4s?Y1C8YF-ugv9s#r`61~a@wQ(
z9|(E0u031SB)&BEE-fqUi+4KfapW)$d5c*65_m!bk1=@rCE^O!8IDNL;Wt{pjq+p(
zb0Y_Z4D}NUhGb_2MZ_xgIhF#95d5hoAX_IiR}gy)hzqefZck2jI?q$|(?04vW)q#X6Li1U-pViBE
zSXSf~(bTEe*yuVh26dp0aO
zgSiqwGWz6HV80Tfp6F5FT`z?*#82XsBdP{aW~hb9N|_x7kc9hZ`Si)jIB1$6eiKsi
zSeXOS9U%xpyAF@@614Fk62jTVT9gdLbqiCn*V{CVb8k(KZDeTRm%{fZv6fNb}s
zq(tU;$xY2YA2;=%$|NEkf-VfSm5?SYs`lcAMl3GbCRoNC*-c$ea{^vG`tn1{j@v5F
zmk|^sLLMU3IrW2W`X?DWSoW@b(c=T`&QOV@TMdt(^`N0Wxp8P?aM~1#kQxZvQZZL22Q5&dn8Bnu
zC$M!p8*Gvm873{G$f_JMGslV6Z#!4jVQA54t==7A+6ZqBxLC%9&PkIDOYY|NIb2Y5UbO3JN_b8`?}^p;GImh!ZT63&8BP#6SX~X
z!w6(H<;I&wa=CwuL(FN5y;cphgzL|s(0$Q$4O|BbMfwDU6LW=^Kx}rTn7IQjJ2U2Y
znQ-k^zmp6VI~jx0N+s5BHGa07&P3qUjb>`kLy+-7qS0)YJ{%Iln_!rNATa;terQ_d
zd!OPh>`cu5#wh)2t(_#Z1SrkRs9tnn>b^|jNRL)ByZfI~xBc^tQvfW^h=PfxC3MP2
zL6DOzG_?6gO}gU8Fssz={MtDQSkh=rr=iuaEG3961ZdF^`uT?#L+IygqA6(px)I$c
zX_Fb0`cWEsKGuI%rXe@pl$DfJp-r}zG@`*)?UOZ1`@1epFDKkuw8=6Ww;^@?vVzGF
zyF2`Utx7p7r<(a;C`~xESTt7PTN64tk~-v{1UrHq)7Ng;Tx3^n!V_4WGy}EAhI4vA
zO&TKYaO|}^P$q=$mdHLbI~J+Db-Ee`l7J1k@~#j+Zd}5?|4LNK++KcnU*Xxb{
z3l95lG1F|@2l4T}(;25bs?=(`Ru{?B8dB9thv}S?=e!o4_nLRXOMkKX;!7-SoP2kx
zWS%~Db@Fw!-^;U8bkl0v~w@poT
zir3v*XI0(T+?;#3W9V*Z^GUmVO~&_bKWdryQwppN1R-qXqzS9;%LJv+^7tm5NXbGT
zK@^<}yz|>fX4Xm)0H7XdKXsLrl@m?_#b#296DU#%3bFv{3FwnVnaT-BlG!pwaWo7Y(5x+l+_Xd4I1T1YCR1&1W
zsq_QfeonQ*ez<-$#AH42zaZ^&@Cfok=Kk&#M!b|ZUp`7o&GF3Q6{_g6Qr9n@C$elo
z!NyyKTai2h{6;C2pzlxt>j6ad_FUCXnTjarW2ziNF}5o7N%!5-uiAJtDjm;qqvyUU
zKjBwIk8|Xb(I68~j`DEr8%*h}6c-jQdbK|mn52q^Mn-K%r_1!O?LtX)MqOK&XaD3f
z&i&;PO$KyioTm>sZ4u_<5H`6>2y$eW-A9amvIavr;R|s(!hRbXTCyzqF^_
z<*7u<`Iiy!r(yyBng$Fv$>io=xAGR<+)LTq9M)nZ4n?FgVy&$XMRS*>SMud)^?eU3!Ps;pGvKj8N^OsQK63~
znqYShjwP96CkyP7v5W4(B_nX?dmqDX*>1#kD=;v6nGtry?hRthQwfnQTBZO@dn0We
zkMGOy$PR>mYFAW%y2|)7W@?FCDD6$Iy|fq&bcy#!C4^}3R(l5TVZIU9tEOZcz-RXN
zijfu>4NB5{>3YURT>ZVvjM@%im8XktRW3SKRL`FOq_)G=Hgu6(0h6n%pz}4z=o6B4
zt6_~MZ0luPkj4d2VW6=2YpeI3`=W=7xV%MNe&4L&FF`9JfP!NcF%`f7HFXUWa*)Jg
z9!om43j@H_#-HK!^T|F5N*_~B6BY(Vs`btD)v1oa;@XpTK}~lYqO#+Rn1&kgn)D`
zMU;lrsro$I!XZdQ2xFrPxA(D*x{MMbs1dPHl!2%Bpi{;7kVccp^qCOx$=G*;m&)=D
zuQ2!A5DpXS<1(PIzr!>%ZMQI(caYRH=JMR@LuGGj*rs*1^f(?-PcQiUW1mtMyxy9w
zr)uJUY#$9N=v8F%Vl#|kjCm>7y1wRjC{mDI5b^sl@LgvW`TftLNXqZ``$e*d*KfSn
zUhJPgYALASJ8jC)oUmK{t4p3s
z8OONEyCA~nV7WZyqBDM~al(*76$_Folrgcz&c>qC%oKQ)Dryw?CL58_A<*|&P
z+{f<4lnAYBZ5mUv{-Bf$KC3SO6&&3B3dg5V82eaKIYXry#38%O-wZ0SKwLhHm$JZy
zNzWng>u=glWiI3J{s{xYL#vihBo`z+Rj=B~J(o(G!AVo4*P`-o+x(MoaPZ|t*J9Ff
z@Xt>Nm;Dv1rMcMtA_@2^vHXU+|66}lKcp59OVbF%P(lG3I|ErFyg_5UuUHEM%||~_
z-XkyieZ!``%9Qo9aqp#%BfzqKgz3w35
zP+wv)h)F4wL)ZzlZC%7fq}E}lL|Q=ean3Yux1G=wiNffvarTWu{`Gi0Y=7YZ{*gyR`|8GT!|{aF7}{WetK|KmR3Sx?WMeKDuXXS~
zj{(LJlU$Y2z<+%Z#Xx~7O(+%x37v(9m&AfB#Uf!
z_0RSP89847{o_wNU9MoA-d&08f@NbXHh$>;(_fymywBy)UHJ#$Hr)O#(Y?bH7G%p&
zRV8AmSb_Q<)13a{RW3Jt!mB86T{GF`^o(vY035_dL@0oe3(2BS?dSStxT3`2FYqIH
zv8e@bE%CXqzd$8h>^{0>QDxb|Iit&r*9V`F8(
z4sTj|M?6E8ukkF3;UR>36$Y{SfFkcD4k$h#Aq$5gxI(0pAAvqf5{ALFYJ$7KUBrlw
z^VoWHMPQ~+r4cnJ`p~uxio@HH$`BPGBMQ7b8w}Co+Gpm8iy|pfvs=%`xcuZCLbk)?
zdPWp!PN4Okfeq$~@D$UH0uS~--Aez}qx{FNdj~wS+T9W6q=|QAvj|8~kc1vw<=Y22
zmNnubBdXO`P8|q&iuBqEG+sl2=2Bze0(~lbER?nu87;BlpvEBOll^>gY5byj4rucm
zLM)C3Aucfm_dyOuD!CKiCjwtjfjH~Ib%FuG=XNfgSz4KwkQ
zakCT#z*RxIL*NEtvP2#}-q9Mk+#)M1?fz~XgSICu{x1>Yz{%V(WptqR(d~pgp128E
zxJ0X8E6|`KvW#E>#FwlKPqGFMO~fPxQP>b@43UQlC)L?F2c@3|hN*T}S_^jtG){o&
zsj^Y){C)+?4p>+hhdW>RWhLKMS#wiPXWvx($~Fzk{u_FqR{E1u!&KW{|{s5d)oUy{*wEmFP)Eyp%M@OlzRwGcz3ooLj@?uXot6y~7ju0QcHOYd}(gSV;cXEuO1artS{=t^yXe+ZFQ!@N6z
zW9~HW6z_mVH}mvTg$FDKio>M#PQ~vW5T@w*t%&fc2Xpv7aL57fQC{mV;0I
zC6vpHei9)PlW0vm#L@cE_coI&C@3Jh0V$aMkZcV!T|v)t8S4iu`k1#So_{Rm#~RP~
ze3=r?ZI#{r@+@m)#Liz_*8{-omaaqTejxt^RrQCVq8n4~0Qud_L2{S~aDP`!Wtv_O
z{K-AWftISV{NpIg6spWF5I2Q
zL*u}6GF-*j==`n85cefO_s8{4ypk~CVnt47g;yI+&HNkg#72tO&iZ3V1ne=bu-EE)
z&#KulU~#HAyhOk=GG@(b@@Dd3ZPl<#;8B4O1ebP8{C0OsULMr06)IP0kRx?N%>bH4
z3<0*VPcp;I(GRa6$#%jBA2>Rg7^~V#4p@}mly4REj9kCw^n1QBiCupkm#XN&GFg{5
z6%D(bt_r#STa9Xy^2Ulm`ks?biB@Gh>k>QF?tj##NoSWMQ4uOm)
z!VUvkYWHN+D@%dA4iZUs`Z
z-YiAerr1)^ogvDoQ8vkQC{TJp6nT$hESopGtbgu>-3T+Pa2~COy#n!_LUYoH$EtO4
zSBc`ub&|?ti_=!{=_Dd=ECB`_VHU=Qom)vkAJCeNkzqbxD8jgRqAbBTXz`wF5Iik
zoTb(H$0Vfw`rvn_SR;a`ANu|>%)nJGUY+q``_>G
z=RHJW0CPnGXcPJaw!vB$R>VR+MXdg;tfCf4s<%~!2r%EgM}nRYeVdreF5>>?zlbkh
z^s2xA`QK7MSiS;_Km^$~f-QEX+U|o$&JY0~5|67@*s0qc=#^>J}FgaZEf
zBuS6290liK!JG>OMo%k<3EW^1a%l}b|4`#^`#g$}653h`SB5P1#;vP8M(@MnVrN|b
zlQ37dPYP=yfUtMN#i$ky$9U9prYOcEZqCE8Yi5xg<252acTgkZnyU0LtiS@PnID(S
z>&xTyxY!CUfwkRfeD9$^!y7n^ncF1+h(D*GaQUe2xafurDVz69gzh|>4yuBMGY`32
zt(qtV*Ib4*)w?Fs+&|AWImk~A1u%0UcyHgLlCb4aDlcG
zOv$4X1v>(>9=Pa%Tl`rabjZG-Qt%0@9yV0&7)Q^$>(6I0-$0)XM0Sz&SaJ~5gE{J_xFS~Cs!Az>aTK5V9te+>^tgZ&H`
zJMd=w(McvyGXcgL2$7^tHXCD60f+aK@jxT8eHe;8y6=Zf$46v81y2+FL?dX?s@b@W
zBZ&AN+!z{gaO%U_!Jg9ok0vR3d6tHf%Qa!2|-r;W4=dh6)i
zzhX+x?~~d&7wxJf=6`9NZb3Urw0)?
zTFG1+J{?S{8u?TB6!bBJJn+%ed6n!r{w};M8Mou{(>!>7#5nH6K;u^Q104=`)K{Jb
z&&a{=>)_Z8aDQaG=mksqXRdpR1bHtXfH>Li62B{=3PRoCK3HkVoQjI7cUO2Y;fcH@
zRVBO(gurh2qtjmn0q`vJTb)E8I<)P_2A#{L>U76Er1=tuGyNUvOiqWvjBFFFnowv7
zYPRXlhM0~zMO=|n|9fP+`XBO;i>vfc<4wMCW*200YP4#kum~o>PQRo$k%ger8gx)I
z?^MP(bbU-krCCdj;qqw+yVtVwqM{V>|E@Mx2ykvlT!p8%hM&0uz=xckSj`{zhh@~X
z1ummD%h`rj4IfJ(8Z7fn17B%5O;^HEMXzB5TCHvv&`Pdu@tmH7Ed)l)XrnYn)#Hqp
zGjt*;t6LP^DWMylXosQkMP$u@XXAm90*MFR%DUw&vS~E-NnaqO-vVZffrX%&<{Q^^
zz!u1#igY#oO?Q9MaNdnan<{prKlMSw5&Snj(^h0oH;LMlh9GCKnJ2zFaSb0w4_=9E
zDzWZV6&((lH|N4Qv5|2bvK%}l3)NsPS_46?c%>4M1Mh{WpB5O?sLJpMT|MGg1vjhx
z+65=R_2*4{q$PQxCW!-e#|_4IgtCR52PrJxkl@La7>iKmcst&VdG8_wNXS}q4yBQ?
zb}w@U2&zkeo(=9Ttr}56)JLOcT4Jk?I)nJpkoOufl3?(vs_#go#OdUVQBif1K1{qRR%Kuimj~8+FIuVJIo}aO}e9}&(c7e8014_{H!7V#%g;Jwu*kA2H1i3?vI
zdHYNDy^hAtXgrc&iK{lR`doS*hT1WhMs~Hno@g;SH8~U&G+|4WO9{$?cp=KPC3Yqv
zbIe?0lln%zZ?kwmP7iYDjVeWVC|)~VHS^xD+;#x?R(me)V`yVl+_@q~Sl9{vX)Kfj
z^_7G5jlFRxAhm?KG+2>3Q5}kCcl62T8|WmdI-lWigYBfz;m}%xC-Biee-X$e!I)FMKCk7lmATc>AiZ4Dhwxi3P6%F?S4wPDjGxKY
zx=H>K!J9W$ev(R_Pu#SHB7l~!Ki!1%;$=7K_~Jcba4EE;9vo_>Gz~9
z0XJ2B?EY5H_tvR~`2AUG+HXm5D@
zIpn>di%}<==1Nvizr*UgrK27rnTu_veHi6ItdDS(Fdb4j?S6q3#P0QjH{mJBVuyt4
zK-;27BPy}-C24@smZz-2cs?VPO`$0+l{*FxI2yM(0(teP2KUQrN7&AT@%h~k6PV~*
zf_yD5Ri2L{G-oID2gEno8ta?zY_N$-^KG-Ztz7APV!ysAIdKK&nG>f^cqxxe_kvDU
z)}hE%e+E{oq965l{yF+xWl}!+O-8IdkiGeI(7f7Xn~*N4xNWn1N^~bkh82-^piia?
zCuJnLqFRB70?OYOZpEz8FV}VM?KaW@
z6_qHn#bSe`LbRsA;T3$>r9y<>ce7MP3{0bs3dMM;O!MD4_gE!dfO
z5SeOv7wOTFPB2ZLf4JTP`;q8(NdOx-#OdtL0rj&JQV*5bgEb;gMcvwNk6b}E99mFK
zvh)-ly1V+%E{5tREyPtJT1K;*O*Gq$$g^jZ$4?bLwW#DLmFQ1yvnBD*n8gNj`L3Do
ze~*DZTWVqzjGK3T8-+=1sKh+M3~|*T6Dk-P+}Okq<2!uJBe0lgjH5gaIcGBxpAV>z
z>W@KeYGK=##nms8jB~XHfC0J-v2Li4Ze<5b@vPZYBX+`Zv7xQ?*EfOf@zsNs@_BEb
z0n*ZD5S@QeiyZJcn=w1>Ry5iXGxo>IE|hfhPq0bMR0jIHjoSmw1OVLC#K;%~Nxkgv
zT6>>-VeTqRNZ&(YN#ukVumgPt;myc?b46deLgB`Z)7c*#CREzn+q*&6+`f96*qq>z
zAf&)QtTskRI7K6xy7AzXhz7mqHiU^tYE*pmN
zIAi{)DuY=0<0z#agTWoq_+E&l6$9N)XLu@0x;7@F@C-Uc`MgYq2-_KXK&an?@ON(^
z|Ir4$L0S8&X#@c625{6-oseS_4SS9$F$;BUFROy}Gl5l0zxX~9NSetrXMlLzO!B4R
req_$S0q*~Se*gb;R{w{O+A~dABfI5=%ZgBSa-B3Kb;ZOzN6!BT&T=3s

diff --git a/dev/articles/a0_tidysdm_overview_files/figure-html/autoplot_models-1.png b/dev/articles/a0_tidysdm_overview_files/figure-html/autoplot_models-1.png
index b31604452f09045caf312e8a3f071bf95aa15ddd..97400567354bbfbfdbe8857eb7053b85e9556112 100644
GIT binary patch
literal 68114
zcmc$`bzIed_bqr(3=}LBloAC*B&9<_r49&4H;B?H-C+TWgohH4kZzJOyz4M!YX6D|Rd(Z3f3(w)i=UscRz1G^F_fMt82+on5L!nRvXmMdV6zY@^3Uv~7
z_B1>*>DOciKTbcF6cdJ@@Ys1=>JC5fUW%()qfq2t$Uhwa$yGfRiV}queyHH^WnswC
zMWO59Xm#s1HCxz11jC8bmwHNG#VB1B`SjtuxX)b`;?&+TW%qN&K3%C9cZ;ZOYcpb#
zTW?b;NivFLEX1m$#E4(jrKQ%5#5OPca|fbX19d}mG4=C14il?IVa_eZ(auv-Q_TiT
zJhc<+J1!@VFAU{Dtt)Nw_g56ERZZOE-}B;X)IvCapQmQL67%mB7$Ur<|9(aL;NJcF
zt4F-ZiK~Bq6>7hYgUks$D2+a$PW}BgAn$+dV}mg>sHX;7OGEdVnPqIQqx!?B{2#Ek
z-Lf&{vs-wosHhlQg=%enY3AEhU^X!ElKTqzX%9P36MB!$548W=FaE#G$p^dHxwNeA
zZ#q>9ii*KAPg_r$m#vBtka9jbbAe3U2AN2_9|xCEs0=UMyZtm-J@i>U5i=~Uq7Icf
zC?SK||NQCieEydSmq6Q~gsknB22+Zyr;R5Yf~~m8cxU4SZ6<@2=Vs#kFR0f{uN!rx
zDyo$^WLNC3N$$7^kUKAAm(0Za*woxGs58xMJm8Cz*0gC8$x+KdUd2EpS;yOxt{OLT
zbhuTr^7A~0M%-*Br3E+wer3`
z+N7ta$9Ah*AY
z*@J+d`7W`WuJK#L&NAAr*x&~g{w4OynesCHiqp~V6(2r)m<#r|*%Lo?bTK(O`Rrh!
zva+&CYs|xvxzw~1J-Ht~oNI~})NTx6lt-iA`|)q89Ly*jJlfa%5>5U1>P*3ad50$f>0Eh*-J%+@SjepEH-AaV%VS4ln)ExoFH>za
z^DP@5>|#mS4WHJjXt^KQ!esf9aHI~;d+N-jBt^BqK6M^G!K8LPiSxYXyEA2n~Ut$Q@=&$<7cuM+cau#
zV>dcvxKc+(U(S?o4R<&%mnXd^q&42(UcKdCO6RFlH;?r!3(2px#F^n%a}u1uI@vZd
z7S1#>SEd*G9#O0{agB72Rr{ROju$I&&C7N!*J4yJc*17T9HevomF-Qp?XLp+E06j2
z7IGV!nz}f8G^o6)E~`|+KFQFo)MC^B-3qhNpS)z4*+Q&o^C^T`I}0^l9SOga
z&9g|I>$?Zb?pdj+_lE2S%%}x%VhC>`E7P5>%6qWUVLP8uh(s->P|2g+p304ts*Ces
z22pJuI43)^v@4zTkOhJBe^*dY8`;;N#3<;{yGy0Z8(xC@4e5
z#O5RIhuh|}Dk)fToc?^rab2w@p6ky~+ufLzw-}1Bs7N_=p6D(OjY#2$Tj}YG6zLlq
zHa9%K4wc%^FS{Q($0damF{s4stWT%eFAtX-Yz}l~X$vMKCZ?8@sKE)Z#KHp2g{Ygi
z!J_LH4#b&P!ulm1kT}hJ^VRn*CdJ^XHA_P)vp9w=zL?IbvD
zEoHz~Q08~u4C*rtsU2@?j^x8`RUVZO=X13$zF6&j;Xk|9$lSBNIvyMrmJ%LL!hf{C
zu9j!`X{mUcqIk$0j9p&nn9qmU<3}1Fn|5cVuO>D)`fe|
zKGm@l{7!~rzuv?05Co;9q_lO&2xcrSm>z%IX73BVd^J7Ru%J($zWOkghzHWjgj9{5
z9mvR`iG9!5ziBcvXx-8^Q6G2`?^0Sg_n{Y#R0w%sbkTxwj
z`R>am2`MQ>S=mo_q{8EW|Nfm^=wH1v9i62OX9IErre0Uh$*IJ=WcE&2lm22~t{80H
z9@z7$%N1^L;*q`H(Ab#oytO21E9&gpTvyk6urEwciDvi2%{boSd8!L(h~l
z)UG)U>9QhOI)wUQJ^CnJxrPP5{BU<36QA26P&!;pTtmc!S2v&y5xJ))k0r|j9)?QTELoj?D$V#)m{
zrNaU(syFb|7QP{CR+xz5!bEAVdrK34D~{3KKrGhfyK;1w}ApP%K>F|3Sy55
zR^7Tw{D<4)PGj$B^PX3qLx2b`o2i2Dc4nlY)VZ>
zOG|6Yb40m}Y}qX*HMMZjkJrBw4nK3xuu7eQLB1*NDs48tA3WI|kp1
zeKLfT5a0saYhxr6s_^s7;pg@@B)pSP_ak
z>*vo$LzcDVB>=zj%?3El28(1RLm1iyi>(nrHVXi+>#G+933hW)v=PVPQZrZ!a#4YDzQs5{RlCv+$!N$9KiWDvj4sp4
z(sEwRFEWibY}1N9fTgzCTP&2sM7bY2M!N0J_U9P|4m*tdb`y}HTA4nfL`pZue3(5K
zP9J8uA4p=_sAzP!zk@NRjW)dNz#6aD7=lbzFg3(F
z$6Mp;%gf{bg669Zk#J)1e-&9zHxmWF7lk9%@7A^^NM6$$BV_gA@3E3QoR^l6n32AJ
zSVRJuXRag3KfZOG1HNGvLgPi%0!BZ;u7vXkt!UavYV@n6;nm@a3=wD75bEfbBqYP7
zrl)sed$hBt{J0<457~x7F30{n&pb0=QE3+Z83(m^yzNF@)_s@YunTcL^skL`KbY4J
zzyHEBzTe{Q8w3qvf+3l{fgp3QiUq35Jl8$Dp_f$zYfj|=Ed!i37j9TZABGJ_JB;Bi
z4i?KNML8MAls_5-#jOzFLx9|uo
zfyHv1x?$FrL$i{g4gmmJy7HZ=2%Sd1>-QgFY>p1LOj@G&F~+s#5Z_Jye12r)1L(*u>LWGQN7!6=q(=M2`r6S
zI`iy}C}w|m5@kujXdTE8xbO3bel0hbWC=Kxb>6)x3L`FDQ4
z|6
z$Xz$uN+3XT7&MbLeZK#AYtULIjp8IK<^ZW_7Gdup0E^vzNh3owSG23Ei-hHwM`qcY
z1QLvHHL7GN@$XCo?oI^CAmz(U<$@L0towJ9X=+3&AT-eX|sgdetmqq)LodvsZipngJL6T+Yx+m)tl0_h2`
z++0^$=xO}xF_0nOesQ3?0?FNf(?DIG7N~pzaFFZ~VKp7pX<%GuAz?IQ*ll-MAe#N?O+M}-gn#UUdczvor`-PXZ
z;DODxt5>OcssFvg1NSavN^I;S*lOup{ZO-gi7_PMb6AOCDxSa)SqMV$Arbhxhv$TIbB^{sKeYW-Vd28i;8+~E|1(SNQnrFjPJehS%2CguQN~8-D**05C#5`{&0StI{DnzhosHov-)k=_e6R
z>jO0%6p}LenpNTx66o02b
z3E|=4xMB+QTwKZ&{$jzw!S64K$Q`W5q^Ccj@TdK88LgkI3Uy0ra&kb&>=PSqO#JKD
zC&HfGx#8Ki)VzwpT-kA{5cYa=Q_sMFo}ZuJ9IL0Ve-ElmJv}|kG&Z8cJwx>3+#xOO
zZ0V$2%^|U*#6$_q1u|~RDwZo`pP0btdd0RNmM_5)%2$Ubw)H&P^#rzA-n9MJGm|)
z;GeQd9H?8c+pk;cIY50waEY^;HZVcT&PPef=sK(0gLe!1fpSubzfR-YuzEI9A8d2g
zLie
zm9S+;!+jft5+Zh>#P^pa%v%tDMvcNmjtM#--O5$UdQu@C*I%b?c^L9p{XY>V_rIo@uW#^bp8-FalUox
zbxB#r0XZ@ve?Fn>JF{Y*8mB!Ra>>W=)XYn1Hy4KHHzT@-hV=JD=I1PA&KKjyn01yW
z+OM)_)1Xj>^#A+$?EmTg@qc39>1o=I>G>IlCwJrr=Y8xW+l;S^QCps}7*MP2)as{G
zadte~zn>TCKw`{%|5PC%%I5Un84#wXr)`cfy&%cPgl2Y(XMgQsv2Te@8YJ=
z?J}U!GN*;}e(UG9cXTMq%Tpc4IcmB9Aujy5p~!IvV3rwN80Pb+7{UY
zGL4x=Pv#j9EH=+(NRJt7SCr4rPi@Zb2{b>owOsVt{dr5V
zVNpBqk2lKZsz5YzW<67GA47BtZI$;3@qJI(P?T?;x%^mOCs%eq;cnvCH;FVa#|
z<=)l87F0@8yc38;y)o;c3&PVNvqsQ?;i9sHD_{anm
zFxkrF_Lkf^OdvT%}R5D_r#X;GyBS-q|b4_eE
zgP>_3HIJL!eGuqoV%kei``=oYenu^RTC6vHw_!Ah8k?(1NJfC7lzZ|T7bSGbTGi-T
z-_<;P)Qrk+BU_nS)pi#tQ#^L&MvbjDo`Ii))u`6C01)sf#a9TU1)>g-{o--KAJP0C
zz9x*ZaYrV=!|(VB_zm@6G^yuA+jhV7bLoyz10V{toR*f>;M~V|f)r>8WE1zV^%2r{
z%voWf5NxRT84=o?x_O4(qF0(Dv&2<}A%xRJ%(@jdud1rLw$tAdb1*wQ3((>Hg~xJ>
z&SO2p&8rIw3%Fu`rOJJAj{>S=L7*n1A}Hu8Y=B~o%%ZLv=Y6WLh&wrzYZVVI5rtx%
zK0GPm;soAd))rcFAff2_V!8&Q*!mk$QKqrOBQLFo_^C~*F@fiq93
zyY93d;MH#0`IQbW72U}kkZiwkJX}9-TtmJwyV6M;-f^X9fP2QqK)s|Q@dpCOf8x(#
zbHI^}EjJmfay9cPe8uhPmY%y5UZqR+RV@AK5C#}g^dL*@sN
zFlEzaP4HAd3=}Y2kz3f`4TSQTxqtfqx#;>C7Y~J^uEd&5+IEX$ewXix^Au-PNUp!S
zlHjr)OkE!ub!%(&K;1PO84w8-BHUs|=KLr7@+C34B(_Eo)IyAVn{}IQtY}Q(pG(Ig
zu+Zz)QxwRjw(O&NO@vCys|D_f|c+V(31`4}}qL?8~>FR>wD*gaR8SI<=b&I>oh
zHwKh$6w2&aGZuI2<9Q{btz-vpuB*c@#)rSenEk&{i;rQFM?v1mcvtwGF&Z||i`JY^-^GvLBBV|UabA8l
zN^a|qbD@Id397%+w;5n359vu36XR#ab;eQvYLG_^Bg@}apnP7@C)1#)N{43kzfKqD
z?5{LpFsH2Dup2#zp&oCIN-bW&z*Dhhs!mV+7wJDyAFxwt%52PpK!}YQ|EH9Df3_H*
zNTFs(f)Mf73s9nl(Y5Q&s~3=(Jfp|N_jJ#PvDkUt)ZSTP!AcUd#?Xu_b`nKS3d2CI
z=96{FT!{OV&U{XJDcd0{Ma75(HrdTnQp3e9^Juu@*42MAEBsrbllI%fqNPg2LWlMC
z<%f-81@!`idcsQj&vy1rkfMIwNfbNe82L%$;M?@X+U6yON`)F?Ge
zI_*-fc(P(R_1zhyKt!$pCH@G)5cO~KLN3EFOW)(Cg!bD`Rh-OS7@#`fUMXa*6cV+Q
zeob}a_KU*L)b_2ce_!+E6Ke5$I=z5GLr(-Xy7|_0o$cHWK&IZmQO@BNR@^jb+JQwp
zKg3c2TaK#ayZy7N_LH|l|6UTR^EOWZs~b1^Y#YP+Aa)(U3S}crEyTwXXHr-)$utz+
zd*$!5GheQsJPyHW5(mo$tX&F{m+TYtVuKG5}w%F1c(M~5Y#g1yMBgxc~v5kqULVj5Jmscr|m
zvt{ee9pD3?@u_Y%)`QVt2p~eR7JreGvR%ySiTGoPLd{(7&QMQ+56Ef*`T3W|7AXJh
zwsW0Mwg|I~2yYk~Np_GOk$N{2OeNx?uq>30^8%D%F4^veKq0YxQ(+)^;P5T+Nmy)O
zuED$?-;%dv`L%1;O2+;8bgz5Xe7q6oxISeBe2f!t6kVnE7QhRN_=6Td*m%Mtx^bmG
zbcPZ|=?8NfP`LNiwsGi!*>g!0>JQhm@2G<%`^pX=r4c3?;1xg9u~R@ROW7dGF)_1b
z?p{JdLcK0)3W)RwJIX-hqm-$UQtrG}lh5GMobhYEE3$NRu1IPmwf3k&Df-AY4sXED
zFs>?WrWHl0e+46Slr
zb3GgzEv;yo9`k{eNOPGwEK^m|i0MeeO^qc^KYY}f7dilTn}=O2*f%f=AivlZYyvwZ
zi2;6>q%em7yor9EwAT&9rh&gyOo5*2bYu-YD!l%;2Jn#nKE0j-dk$f#
zyE8S@zzUHJCC0(tRu5360`8X60jfiq{a&#N&
z@rpI2Klj9al2a`F0y?wp5TN&1-Q~;}85O`SIn~Pn)Mx;vpbu6Ai`JX5p1RXe|NA%o
zUPVnHFg8cl-hfAEbvDC3eY)IpaQY}i7ibpR54!Qy&)?5H_`T9C^;kDwZG3lYG&C?U
zuH`~dzTrUr1%tF-kVYXbp=?gfcV~3CZVmO!*jBMTG9?cKh0bWMGX*=>Ut}4_X+D@t
zBN>7ydpd&2)p9V>PXn3}{YG>B#9zGc<5R6TGa%dHLY&@uIp5gJk+Z1xk03Ph;(-46
zWh3XlS}RBTAd}@Zs*5)=9ynJDdwE_j!jB%N%W7?yBT>BJ>Gw?)yZ*%#TTrm1
z;-Sr_spjxaqnfEO=eIsV{qNQt)f*CcBqljjYxc}$bG({RBByY^y1b8Tz@SIkP*-QT
zb{?sTK)CeO90?ejCvaIwhMK7@#uQ3LsE}``=JGVpUELv!0s1e;VR6$5Z&Lh<426u{
zvr4GitrGGc$aa&Zb=@l*$N(ri#bti7?_neSWv$@HNOVG?=&T@9>5w@ONm&-u`LLQG
zNxn*o9lynmrv+?d-r12)A5m^YxfJck
zTKz;W(#K*_9&TXIdW9bQ;N#O3Cw39sF6b7)qcX&-0n=h$4(NEC63)|BpedT8kQnHUNXtxo`5`)_w2`s42@#BQoBVt#Nzf~Ranzu6mk9J
zIc>~bE^uL3yxXOvj3@<2Lcz{;A6l6*@$!=V0K-y&mmtgZ&}+w
z2)59rYry!vJ5MZusqrHpFmwgS10p}eA)Nu$FLR4pmO-!WKDmucl0BzZ0%mTPOFgZS
zKlT;BMYoLe$gMzLyRlTZ{)LxwbBlb~jNC(c=ZnjXZObKBXQm#X8#~M-5tw~dzQWjFBTatZzi!1&%~mm6yY
zXU+-RrEClTdIl0l1HU7p2N)R==jP^|vOt$oMa)caOyYc)D^x7Xu}XFK-xJ=b)VUtc
zYnw^|COoGB1#ruO*aZT4ih1!QQBx$JGMF6jie)OReTYp4i!6Qnb$T*20dRy4yC1m@
z*>p&Oc!?h-{4t;0ez89Rjwbu=?Y2p)+4UB|9&meP0t7Hw`SWA9#r=@5Fvo4xu+gx&
zviY`~{FM_Z-e3^rzYBu!2g$MKXmK25o^d52a{mtb%v0L?v9fFO7#D%ZCWV5Twgb`P
zLb~1}?|ahjj~un$-JwHMM9XX~_hp4jNQ_sE)NX~&ygywpQ|WslsphJMvfderBqpHS
zl}r{p-hkHuzqko(derEoNISK`h7&V`Zc%|5JYLwREvIFc2b%5-wdFtcC+m0AcX!{N
zO(Lba_y%-)1Wonl)4TlaT?WWu7UY7NyO^@lF3CI#Vv~7Lp2-a21_Rk+V4?Mb8Tk>KmdIG?ml@O|x3N|mVp((_|mn<6>Zszs!xtSPjJe?{}kuG_rkenZ5T_J9ajz_$N
zfEGNGfn5^EfPJINE^ebmxC{icqF|BQ^_}Kv#ihaS2~K1SlGvk3Mcz7m&R_PhD~+J=
zS~)D=8xQ|DIKMiRT`m<(3n5C&@ZB#H_4{E@O18&*Xy_)qA|NG}1Ej;mvo&*50rL2>
zzwji3Kh}SE(fM=KVxOi3b}8kEd`L$A0$o5cp=~?piU@Gha#G(oS&7+3z<1?Nm`B%gf)
zFpMntU7ejX;EL*M{rZ>&O|P73%DLJVvYMrqFOdb>;pT%L^
znf!eh>>QyWjTq)dkBvPa0-^ua2nd`RppzyiCW->z01Oo1BrtV$OonO?C%Zi8w*;&5
z?#R(0Et(fVTfX@aucCrN9m_`{a>N6JTr(JZZkg*Hz!LljcRu1JE%|;D6$|7DQwo#p
zjSrP3?;9smd&t>BatIvDhn=`i5)3&`N4`oztN%2~t&h&E2S)~vVCAqAc)vhn+&`UF
z`_m|-;>ePRhK44#MC##qMnY1O*FrO)bV`1vshwQ`>$tr*YeZ9y3Ilk1cMpBs*-OiN
zUZ(yk7p1i+zwP!Ax5t9>%y7@gkNA2us|V+6r>z>IDe}}ZBrfK*eEj%PzxMS9;knH6
zSCe19kWD5P?tfW{meJ2G?pt3uu&A`KDyLR-ATVQ5wXt;5@_BKVSRRB#qUAo?(5xLi
zy$~h7jU-M7{}rWpX_dNo-~;rs;Lb(w|3z$b$uhN#ih_uo{s;3{SZ}VcZv%^}4Z!I+U#{U+Qj0QK
z3sz?)<+Hi#+=ZdN=}nY*jTwXhZHpJ#(z*cf8*W#3?ONmV*Gv%aVD
zkd}ps9Z*6FuMKJmXdP-g|L6)c=snI>%g}KL5yC}4+sFMiN4@}tcRYI}B*?7MRrHE{
zVunfJaREV
z{9Wc{`KXpf3Z!{0=F0sXri$(7*NBK3OgZNfM+Hn@GWcaVc{;2BlE>thf@?fnL-5&m
zkMC!Q0sqz)~7*awlM&y5xDV!I)*nK{65uz_*6SC3*JMg$uDvIliHlc<$Xc1`$4ZRmn(m&J6FP!
zo}M0*7Q9LLTSMv2QSJ@tB>6L>3mqd(WpJu8b1h3WY-RLAf`e1y6DI@lu3o)b2d4x`
z-Ii7Bjzy=wHk(1CJAu+0jxU_F52m+Yojk)XE};74j$;J+Zqy4I6T4_I49eDCB^veL;5~71^ibMczH(1Sbbb4kO3{yPE?RuvCyE
zbb3z7Jc7M_l0RPU_O`q0W3y{V;NU#bC`M)}9EcT{1FJ{AVcTtV{?^VRE%VkwA7Sql
zSg_3tqCCg?{J`4O0iLaRZ~}`X@D{icVio15Ph-GLJ6|%NDc_UnTRG^TU|QCn^EGj}
zve_GHc9EsKdpAH~?;_u}QPZ}Z|nMSJJSr)$;cs6$>iFnN{Vnrgq*C`71_uugYN%!?p|PcAxazt3zSOgM9nwBfCq3BgJfUf||3I(rk^A|B
zK=aB@8RsK`3En(yemQxpsO&{@%$41#-QCv@hBU4pz4tzB#a{AlY`RdK8Oot(aSf~B
z_W3gqYR%9L6s}=$-Lqn6iWHsgDm#)O8Tx(A>!#cFwiOmBewtpT)iYc1z2NxD9dHLe
ztB|6N_=VzM2HoeSmWg@!~(vyX2rk1QUzwT%wkb!c(9}=%_oM$iDf@o@2qg
zR*&=kJsB}}mZ8ipv5l_0B~6=$b|KBpzgum0iq)JPJ}oT|i^w)lcf~6NqH~?>diY!~
zc5v(z^U||DCe|~U`}(+aF3`=@##C*)z6%*QGzbh&>@rtu-~KjO>3)>F)d9%;yHyq5
z{PQ*#vVE4@=sV)@!S2zQxFx1H-S=0qQP1!*r@{T@?J&5|ZCvXKVGoJS+pbVy{Trnr
z9ZDz=tZRu#8$y)xl2P6gxRXBB>mn{wYz?UeZcSTXrF-R4*}Amj0}28%?x#Z~wmv3M
z_NGkPL^{mmm#p-La_kmW8XH!6b@J~8346V}uBZBY*Y;u5p;hnK@R8D_#GCz!2a6ek
z_02}JcKj}e$_M%OGUYBR7p3Z2g3CErGf^JWdO$UR=Tg4T7Qg}IbIm_nV3HFnj|OK6
z^am+nHWqSQ<{-rSm1I7HoB{sdXOF&K6xbF5|KP>a#bvjxQXyq5Oj5-#FZg93cPL=;
z0Hg7P5AAaG&kWx1=LoE)aIu;5z9ceR~i!`XfuMe^NMg(Pkpk@mc#UVu6)D}piQIFvKcbFsU~a{Pp5i$%qb{*cRhlTM-g&SYqCvStFT0pK9S>wt^^`ggFck1ra*
z&H%<*wDiNs^K3)tUD^e+I#BNl*yRzyOM9^XSm;SJ9I0?+l<3uT+nKyaN7n{JjQ>O>
zmiq16Q{aJMfFzuzpDA27WUmnu(^FAV>F%iXw}Fwpr}8jgLPFx$|GqKP26p$rK2s(5
zEDpDQ2c)e`aDU~^1^7=1ip3pxuqb1
zXc?29%&xuV$}HeIp+rQCp-96`XQjJ)*c1Gci^v2Cv2sKE;|8>k&Ce!9`y~%T&s8jm
zQiE~6@h|VoB=?^S|I&MGG{3!volk}J&IAZEd
zIiaya3wZ`eS$6ls{X1t$|6P0QCgu*#99X?yjy^)SgP)Z&Lq!1(QJ5f&_GF@^6eYT!jola5(-t=QZSIz)zd>`poH-H
zHn0FDbIitK;YdM|*73ImIFP$eE%;Fgwi3a0s~wlx^*25YnTIOyrIiBPA90tU8?4vp
zb|g%LW>r>J<}`0&Y>XT~wC(%WM0|2y1z;p@^&qGQS_BkwZMPj4>>S-SnxPwoN0`_Z
zeXDdytnnrKklh0Id#CNd;^z0gwkwKuDGRle(2O-%vm9`OghJ9cZ3$;q#gBssV6|D!
z&FH3kJ^qbgl+y9%0Lvy=AuI#{#
zKszLlfH|kB8|Yg9Z{QdM4*9<4q-Eo_Vc5rD+d!UT;v=c4aO1GOi$UP}fW9thATd{s
zWYl$_N#Xpou)Z^aEnxUWM&@5>DjC?CKM+CFMG>lVea&e+lx4HFlO^hpT^fJ)cK!?N
z)z43CYx{}nEw#`4bv@7i#UJ&j1S;5&Ldz9ml21V0Ed2y0Cy&D`Q<~jMM!#XGT0<5
z#6dNT@5B_?gqjwdm65vl(}>bm;XID@Ui+ATI1uXXKZ*;hs0F<#n!Z_
zKL9wC(=`hRd?7L5piW;POI9hbILk?zx95IAO}daTPHCJncEya2v5L4lVLP_yYVBhF
zNLr}(-$z4N1a30r+3SLC4^Yp5;8yfg&rmWQEV_(haaeg)-LILePryKQp4Vo^1J2bw
zr7Y&u^**7q>-woy)|A{qq_?GoIqZi`KIN_7V)!ijZ!#K^xj^YIS}K{RJbMD(<{3<{
z{Bu?83JWvyMd);X)j0VG+KmBtC`}GRZ}K15fwh2G(#RTr|NaF$rSAg|Qw<&|Eaey8<*Qj~bSN)T51|ikYe?WVJOOyd;#C`We7o^>I>LTS?dkJIl
z$@n4%@muNQGWU(AFBF{vk6h}8w2<2R-7~@xENKc_1NnO|@cylcVzM$~I%|tN10mEC
z+W&7;QJn;1`AqBAlcN3TJiN;Nwet&hd?hxsuc5i(8DPWK
zd2IfQcq(R$@Q-m1MR;KC$q?&}GTh|J;baBpx4#cw9@)jZ4Cv~g2>Q2X$*1QuPh7pL
zec27v$rseW+$3W4*@x`$!Z2OA}`6Mrb+Sf&B=|+}?vN
zP3GHx&i-@$kI`-#muo+1>p0otbx!A+Bs3Y)S(RGKC~+qGf%G(D+*ASeBE1hzRsB`U#6V+$L`0*
z>R#)9&P8JTHwx2HUaN2H=cKN5-jn#eqD~~h#E@xa8r|h-Nh>{085q+kgipeLmN)Xk
zbW8M>x;{wVt+O_D%}PuBF`RQBuVHtxPgUXGeOGPykjkPo<6e=(&Xwa`@ZnAxmCSH~
zgBiWlOWtR_8>-)NlQvf#8v0YnaOWsJFM()Vw7`>m0q_#C5cK3T<>ui2_bek9V%iaTu$}EYXtzrp9
zZmjf+i6g_*HA#l!y(=O*FIqLZ$muKAsm2#hSbMMO$86ys^WIf6WoJqU*SRn2Pp7Bu
z_M5Y(GccS}o1*o(CbsBzR`{{7g1g~s;;*M=PBfc6@tDjjn7hRlaP-*mMBeJ;k4pUG
z&;FEyn_OOClI8C+_sHCEa_#C9;SaYJP7yyc*?PqEOTQ`Dgzsm1?AsCYuh`$b&vWAf
zwUiq#%NBvpGaK%vurO3gjG_Jt?Z-vXO#SKe=j;2rsSqa$g!$g`CfpL#Ucixf7);T%
z_r%SKzE|&c?q_D&zlTbq{cW$iXxg*q(w9*Aybe4lOo{o{a@#o%iL)8$538NCRC1x)
za06Owpv~;ku;Vm&8R$(83)!`;P!5<5m+|zEDvsKfW*c|i`$*151eCUCpQ$M5eygA?
zk3;iwhFk@7iox>Uy?5{D>Uiyauoyur9T^@TUJ=y6*>LxZN;9C9T|nF{f?o306nWau
zP5MB4pFY}hKk{^$PR>{DDsL
z^K`GS(wP^M!hJfbfRpwHs`|>QQ>VaL#r^UR3K8aP7W?xh+8fwzPD7`$*9CIkKN*F?
zkL>I?A@Hq0u{8!NWi{M_VMu8DWK|f5z6iLI08jcDl7IHIAFuCC
zJG98pf`PV}K2n;NI%~)6WRsC^;^`0Ew*dSfb&xGV0`di>P6zZi#W^C8%NHN4px_2Aeo)bm!`%|#Rosqi)QE%-
z2W5>SQNY@kOV`A%64#;lixWYwt%%-jvg%xX`gh+o4wcaiGQOdH*k#PUtC?w7x+!_)
z6yx~9@Occ6bemn==#S2c7(H{dAn%&+R;Ow?UC<=hz6~t8`Il-iJ%A3y%OCH41LF4F
zi2D(LiQVD{pe%llz7)DD0*pP`1BXlg57y4&{;;>7K(<7WhBZNR6#seIt2)^#E6_cS
zgF;GaI5ve1JTTo=V5NJxG|0mpDeWEW4J@|{ur%PT`poal=|{$MJ9K%ZQji*rKnWBI
zZkzFr8ogF2c(l`Ui@*8hK!y}_w=d#AV7T~;t0F$Iz0|%&5=5QbOHjrX|@Xg+_XT7RkL95;~APSzo>r*e|
z?I|o-6(eC&x*F7QssEgqF~9O7WD;+u7UJS`3(9zW?(E&N3_e$omiele+u;f`*^=Gj
z==CvoOIrK&kZ=BEX@(JPtak)1_;aov?Gvz&u0Bx)nIP@VCs4an-Uju4B
z)g{@NQNzi=`P>1}a3VwL{KHEzJ@ah|lEh`uu5Z|x{Hevd)OOwz1njS>x%!uIaYW-T
z0~=QbRz*CN0~Cj8U)G`F_C-Swone0-9XkmD?!y2tC3olnMIi`Ffu|*~>^#?dft*lt>mWO>|f0Lbl^U%*0a0kf3T+d+Lew?{kHw}gHjX?>G8w+-*W13
z9iQGVDLI!D426R@wR&%Gq^fywGVREp6+4oA(RAvRDBWy4Q^mS-$6Ko7-t#unXE!;|
zb(31WiJvHoljY1spA#@0xH5!)t!j|esMCQn15d!b<6O;C+H(os-1bXk!m{`&rs>o|
z5gaC`Q3BK6`1;U@EKGf#dS5U9{V-QFOU+
zq504`*{k=hr=DE*6^)*j{=$73g`D?>y^6zK6V!Jge$y(kM)y))`#0n5
zuL2%vP^U26xM5H;nD-${J@Cr7rHlj>+$!TEPksH@EeB~dI;C3t5tq(ST*G{|L68iu
zv+3i5QS!z9;okBs8Y>8yG25;DdH4W$(wVL_;<2%@iBrD6_1RE=
z5Ps7^_)sKm$j5e}w{6-@#$pgQkD}U4{a!S!jw`%tr!3n2@P?3xl`P$;*2rAVO@b#L
za!>D-zt!&{db~)BXKXt4sN+5jO3>#oR7=J|OH0?#glb&L(*UfSO(Hjv{!0>p1ze?B!avCYpVATYd~4HVExq2OYQXlPouneQfm_{$1{xIfsL
z9Pd-KJQ9jJx<{wBxEtHCvy`xezVjhg#po;TvU|nzrlzJ-D1h$@ZQNDm6}~=5trZ}S
zq2?z0DpgFJX_!CnUum)&W`c#j`P97Dz%2J9=}1h=`o@Dz>PNv>marM-`)%I=OFc0Q
z2v)MF}eX4>9>$YKxv}P%EH3KZ5NnztGq6rc{=>2JrwTh(>|^76-qB$6oM#0
zvL0TZm7SsI!ABt?@Q4ZqgSppr*)Keg6dflP+G0}XvSURCCFsOD()5n{4s6{D$QAd9
zWd2*o_)lrT(U~Yk`T*N0uTpBq2ph=@y1KiU$GF-y{N49Y(krD4DJc%C{l4)~d^4zg0~G_#ybIiC;VvEBC;tIc&V49hRlYsL
zv0Lbsoh^e)B0?chEL}DCG?C;^&^y2uumgUA(SmsM($2r>l~PbY27IvKvEDo`+bmHo
zYv{^aKB%>!hrV+<8~nF;!0F$G`*l^_t3~eU0GO|`y#nscqyr`9HrzDJg^36Y-#reu
znZfpTn-vaug3oRYEK*hQU1##u2>uV=-a8)4zmEgGjjYNDkwk>-D5Z>$QB<-?5=u#t
zolTV4vf@{^WUsP{tn7*uDP&|t*%2YME{i)|cM1Wdaz20l+!f4$J!Bk?X=JTvNb9b~`@5kemux=L=Jy*dAC@*U3
ziy4=O9oPFoYE(l@#KyOKw{qGC^Bpu-Ri
zm&XrD!0Z&(MI19TGv7M%xIvr*V=uA*>>bsjo1wReG_X*>frCgW5iv%rPm%E*3?3-t
zC##@ruQBC6-1GfR#Nw_y^8af*IcPAuAr;s#p*nU7-!UJ||NYljq&UzRQ6MI5+D%UD
zh$DotWNg1bKeY_~Izg4W&jc*^=I2+j?G*qe7BwlA$UXo_I21%|fZl<~hOLwH^XaxL
zVKrQTw*_KY>s^y1)A(k>#hmhrfS2oi^PKZ(<3-oRa=VTFkJpKF<~XEhec^b3c=hD^`m${}|nG`f%(3s4FGf4+2ZQUc+zJvTHiMYQ*T(5GV#Pmi
zP!j8KkRra>keIkQy>*ey(5z-0{a5a8nDQCJBfK6QUwBq2)BJ#i>MT&866R+vzTwLADaYuqfq}Bf#)0W|h*@n!XIrbo3#{MON_?Q?P9!W_v
zH~t{iCA&WbHWKWNqoV}^e0+jkxg$SMyOn9Ds2%%gO%b_pGRGj$*=EblkhO+QRLVIf
zoyT4p1O+AEq16gew~h!Z)pUvEqFqtlKepw}&A-o%;n7)W9A&NE)}3PLN1xAA-Zf-&IPFJIQ>TAMR7OIj}ue^V0o&!lfo^uC~t*
zn$rL7<{!BYxH#&x542@pOfOf~S%j6m=DyNYm-dnFrCu9T5=5rqnG2VUm_@g`>fF;z
zWBwS*m8FsD_xWl-oyCpr34`pjQ!miyn!mg0EwY1~n}NirDw*9`+F>14g6$`{vty3K
z@ORNyw`>)af&g6A=?ufjny|DRyPzWXTWoRRbIN&1X;rXVSZ?Dy@@ho*rc#97l?kF2
z>|n*mi5pt&av>@5hd7Y8qk||Hyph&n%|mk}s@C-6K~4_WEs4p30s18xso~6ta4=^(
zsup~uUctjK+0t_Lz^e%t!{7!OVY@5tc5a=@rNcW;(iCR7$P81a=QU&+WSJj$gx>0v
zh6(jx-1PN>ocV!aCi8q7_|@sYceys?{dCsP&_lx-QfV-5OfChDVHXdh_Dwq`zL3+_
zDK{VJ(uIBMrps&Neiy^{*i<{@Ny>3+%Ri^0t?CSqa@97=rwn=B`p9flJhz3j(fjBU
z)qm3^{bN40V4YNy>5=jLy)-1cUk_TH+b`(Ro|xdgaVlFteM`Yi=h~}lOXmy^jo3w7
zye??isUiN;+WTlu;VG5o4`WXFPCU_UmlHM_%
zKfVy}e=4staR2VU4S53|0ui)N4h{!g&eRh|$*7u;_K>lBB;&*P`FE%ql1Z-CdsV3#XWCKUM^AF
ziGLA#^w!|AZK2sFmom8$BXxD!o(&tK?!u5I-L+d76=w0k$jwH11iNUU4Y9fx_kZKPn*^H@U33!d_r2hH2qxyQ3
zrxH{HUy*gI+TaFD+4itQfDqDBJtBX}#NJ+#?nhEo;!P
z$fMrOKXzzpJF&LCsy?I`T+VX(RDfQtM6JVrODD_O6TVyA+AbeCQ>2xro<4jmDCn4w
zU-#xn7Q>aZChTD@`ldFSqLz$3&GY&E#N9}KCrM@;NZTuIVA`$cCB{r0Xdo_Bi1%YT
z`;hsl`JbsuUtL!DU(Q(yz5~zpGuE(kaM4%W2AaPzX7BXeIi-6kF2JqH!s;$}M%01z
z@!F^$p!i*4{`tPcB^kfnOG=sDPg+#%&DnnTM&Y72QwSF8%;Sz<*>7J_xT&S1GaR#^
zC2)ePu*7fHg}%yLg%?m&Mg|p%}h!{)c;}(G=O{QnYZsYyt>sfzyw{WbW3~5}2-aq^>EAcsZ%IG3_Qa}e{Q(Rm2y~HY%^#Az
z9_m6fZxCB?h^o+yeEC@)8Hw*vS%3J}>#EYAkm&x&?DtC^K4L4a(C#wFBiyx@SizW<
zUSWHeRPh?Q-d|e~Qu%B3hvTFSKdr5_l&ND!2Hk8@i_F<98{o$>afb^XjN@u10t^x!
zJN^67Y$yN<6vGqOMmEMAHli9DZY=BgXW7hqxybm8gtERJ*%QlaHTllZ%1;T3-MBm~
zE8$%LX}CQjZ!(R2i8Zs%A;a&*bS2x3y(SHESZ$(%IK}tDzLriNF3S2wiNqra
zvnZRjE!p?IH=lW>U(+Vj>d|DRK>k_hJAHiVWp2km<&_(^9SBZ07cNSu`~7CS
zmbJo};TXQ)#ew!CKNOZ-Sa^5w@`lJ`7ODOt{9TGNZI{)dw@rh-k9+bKc{XQ7^I4UT
z@bU9z9_Ndrf3V&5mQB09ZyVnfTlaOp;g7QZzZi1_E=6+*mRZX5jKv9CNOG8OKeY7$
zfjcnRd+YEflU)8(&=_3uuG%Z>{fIiPO!Nrx=<5iaKKX>@vj9C!JDHt9&2O88BBKHf
z^0Qso%&{=(TknsJ{z=_+J@WdYJoXLOts{(W3{KdPcfVtr?aMW=8TjFN`Q5;bib|4<
zy}9nYz4X^p
z^Lg(jt6@xx@qNS>dGjTE!{fz%b+yif7s6e+S?5RlZ|Mn_zL%xibCek9OuH0))!Di@
z>o4X!b=<*>-B*>kVUIL6bO&XTZw-56pU=RaZ1t?AcXj6hO?spHwrixvwS21G#FCTz
z@c1dN?S;2Bcih_=Ou@^z8LQdV^>I}y;~ape#&g+O|88)TP=1e{2%lqYvW>!DOtLM(!HG={%S1xRq*W6c3J+y7@=#OdQwP|_Q9DauMS-FtgE=GVq{yku{i8J8EYReu`*a_W7g(k
zD%k(NsDGE%k1o2%n??T7sn8=AaNz}kpEoD7^KLt-7$LQEtw8^K*Qq0!dUkF(cSQvR
zmL^!&3-W@L%Pah)MSTq4I%f~NoeRkju^pe=A%1NiGx<$HHQYcJS?oZ>;>(+vQYg&)
zJ|geIn&zGF!52OxB(vkPw0~g46JKWiH7<6tkRp)|3=5(e3Vx$=BJJeiQ7Vv8Jv#jR
zRmPd&{gG$VJ~YkTN;Wdo{&-<84^K6A;p#EZfA~i2-_mk4ngU7=4
z#$pT}?Y@SMkgwKJiG2O5^CllN`wIcD|KH4#PZUxCko+MCr*3>7irq(V1;xb;vNfB8
zNXMv1rC%oV$3KoaIb4$kC<;f>{Z{9LZ%DUEq|iEY7FqHH#(>&d6@1ii!KYaMS(nm#
zMFL+{wR?*{U(G+7cs41U#op&C0AnN1!hgcU$x+rqlW0^%f3(iI&`4A;fF;q%5`o+W
zlQla3X#v7LrUD#oG&nWg&WsWCJ8;Pwlz1{DP6mZ%VEVIY@|qd*PJR4XaOJQiYboiHq9LvmCzUrp8UOIXJi$3wvp(MJr_WaXg?^etA*=^Il
zIT<(+799BZ*IDW)1<~MGJI9eK7-ePa~%gGB*S0ZIR;t#jHQAZUNcbuJ{edtYVvHtJwRYsnXLt6Inl9uzy!rBCho~-=GHDf_
zz3Uf*k_qcYP!OrK>-v$;aST;op2U^69&qOr)wK<{a2Mn)CJkPC%6
z{xPu}c2;tKKdJ72bSQ4a{|~gSkZAbv>E|c^elbkOP_%pb2kANvm;6_62U#$o0p*I~
zyGCa%q^R`wO0jT#`=BCA$~+^bMr$AUgG6GLC5FZNOZzq!u$p9byIm8R;Z}i4|9kT-
z^f&%PYj~60vkctPb{V*JTS*BUJox+6@!x`+A-_oSjw72+2r%Oh=!b>G;Y)8~c%l`Y
z$0Oel{KvO5X;VCLC3k|#Z*~EpgRF%spw@;apdb+5LI3YJ!B{ZEX%5o1J%ZOj@5ov$
zK{wLe4N&&^|Kp8-_RhLkSXjK91pqR;(EHLOias#NqCM|`?1GWaY+nLvbYiWTn&kQo
zpbJga>t)G)5F{lOxz)oaTIKOut0otjm&IqbZ{G|`pVXBjGuG15(ta-NI`6l0Q7$@Y
zd^c^C-<%t}%MWSJ!q3C2YfU0mmPb#SMc0k2T_D~wWSfp@Zn@adsOsaB^GlAV-Jh8*
z?=xO77O4=Kn(GqaO`aBtC)vDz99(WwLhTdb;=Y=RLkS)`9aLdC-}^!zBBX
zoRftkMZKD$-!AP?PfVKw+
z`l&fe#2z@|AVhSLufbez0za$~sH`H%caqsSZSD!jX1ycR|La()1rJklk#Z~lxR)c`
z)fGBl5(%2Ldf%`@+J87H-JvFk%NCd37WUX6<=u|b-QVjNVfv-6
zQ`hr|*V>0mGx;~djOAyWhcC6nl94!NT{aQSBiLjn06Iy^fnTAPzUkU#QUVpJQK1#n
zZ%DkKeZGxE{XuApRe=XJP9(^=ZGkks&;GMzboJE(DS&PWu4SD{MX>ufM0O37O;x;V
z&(IBf_%H-po(T>MFewrBRu0MVUSt#ZF
zB+U~-AyA4GkKP8r)wNSrc6&GVi&Xk_w~bJ#23odX8k(
zmE}B2d0uSL_mH?@<59Y|`Wm|{*{%j#@ToXQ{Axx3k2xNqzFL88U&W5@l4}is!2KZs
zIFe&<9z=R6oPK7{J`XtrGH};Jbu|M>bR*7UQN-~dE5#xqyr7eB5l-&+-l27V@RglM
zo;~p}398Qwvg^a&?GAF5Lcm`D-cF@kwyW-GI>GJdP}p;COzFtz$>gM~e1GATq!eNkVJ3Y1>{(oCR=UHX{AT7Lr`d
z!`nM{bSDRD@0s%1StRNGt)2emZO?1y?Rn_}wI6+Td=ykua-k{QS9j41LzJK+@5ja6
zfwfUj!`r>gZh)K+*XQTJ$>^nfQR^UKR}5eISq!3wcxK*%KZ`+m
z-sV=Q(3qXGNbp+NrgoR}bgHzdwrJ=v)NkJ`#$t0Nh~a6NfxZJF0z2CPAj8XR}c@l7Em???kd)#
zZNT8|%DzDL^6A+n2ICUj&7?)}igw@L@gz(D?`Lp@zi_A$tG(OM&`{$%=OG8mPE(H@
z&lPAWa`$F?KMsP_egz7ACpVN13{Q2geeK7}YI7mB%
zglJ(@5+^8k1VJcJE3E!x4q)J>CxO?QeiX?cLR9|idryb?L_}WANw11J;y>Rs^HgOy
zlV#ps*gF8)kX_oA6BHuo-DcVL%e(9{+=tOF#2G$cWhm#AExG
zO}^Mjz_XNO#yMMGy3f}jkXHi!z{GpYNEfFhNm;kk>^>D=3pGXv2Ch;{TVtydn5=0K
z3+KTJkbIGu9WWcYrS7Knslw}^HIMnc>FdlnBb~6E^{PyqSaVTr8yN**@BIojxT2C0
z8KHK>(Gy!B2k|$~$u)?>l!6QYQ{iQ1C_gB*S=w-vhl$sG2QlV%E^gaj02-_u`OakD
zO+f%fkTR1_EX)e4J{Eh`b6v`1ck_0xM+w77xm!3l!!^6Wv2ABy#j%
zivly`nvi@!uPyEn-a|uf3X6*9*%uf_Um?Xh}B0o`
zz%W8F(we~V(v&+fAQM9m1Xh#qD*-r9*4YIj^zVFu9OT{hJV@c@~&ZSjs1$b
zZt*is1l6RN#7X=jxZ;=KuI?ISzYFV^h#JiRpt*4
zm7&T`fqY4VeUtYn*;`1_6&i>$P6**p)ZtFK?)X-Qsn&nW%jE}VI
z7)L$5i9N&&ZYHZxK}2LDtPeQ$Mt-tl*_L>i=5;6`g#h&u0uvSOTHIs_9A^T+Fjm2b
z3xoI-;)$l4Me@ubbujNJ!?@>^aiYN}h9PM8yJDL&G=9FAXvzRjo
z^H?>EDEc1)kEyix*ETdP%a5$a9pLAm_B$Ux)lspPjyPkc1owbl>dA5O=ajf)Y7$bv
zW8RKvI2R&wx_`-UXCiLRr{|7otwfCFZ1IP&O-Dxvga0r4YOyMM7;y{e|n_aRDa^R}jLvX}c
zVD}4X#?nMI4L##Jry!?2;m}RV@Bkxt4zLuNR#
zKd-^(AbH*Pt3xDhFRh7dY7qY@ySvL^zh0fpYf(VA)mtY$h91{%XQT9(b&+v}IztEk
z2KnoO#yJ5X0j|B@pj3r43n+;)W7ps$p&-F?R+)rb_RhKpt4DBfaOv2SM?-FiTklG(
z+NY@U7@1_#SVKr882@yJOQG2JFmoTV+E|CvmPjNB)((5HA=GIT=RrorrSTe;?I!%f
zD;0ZbZ+YCl-@~d-_5JkbmTYyEHZoH5Z^P*q%h_vBUyD5sKbIJukffFH??m`ue*rZ=|^t`7<{JMQUZIn7b3#NVOuM?+8<7N
z_x4MHl$bIF&}ma;hoLFC=)@@!pI&-MYsSlsIi{XG^}Y~N6rMU|6&7_iaTAhOZ)igwuS5K;o+D#l
z1_%D}5El`7eQjH74O_!K?q6p{AT6pz(QyOO-hBN0Nr)3;-*3$VB^%fK{F8`@l&F3f
zA3u40@#UW0SJFksVtjGA&GryNm09_m4C)H`o~)Bmli9ue5Ojg>sPVIo{P?!t^7N$p
zzF)mA7M6B#IBco_Pa+k6Y}Q-sa#2@I4Bgu~V-OG_^x74R`?EjX^byJVd8J%HE^o#t
zI4ucr9_%tsf>?%RJrRBIsn}*a;U-M5L_sOUpj|oFB0Ic#@!2*Usip`O8F8T2n}_>1
zVuQ+bs1OXn(E_sM_2(tni3Nmc09@zZO3y@BuB5)dem(iO;tVA;<40F>MZuJYv1Lh*
z5ppe9g>J$JH2|twR>tKA4aj?x3NW>jW2;B1!j7S&Y2a3mOH0`m>z32@#G8lE2U6IU
zbWeHYmta(rk+3%gAjlkhV)}dgtd0<@s-*PtkmB3I
zg4p9?B+SVnVCr`%vma_?>VYGP=gzEgsT~h-E&!O2=6LSS5VWnLUqT@}Tic{I=O&Idd^v
zFRR16V`6oMVANif^1SXe@Z1a#O=7oTr(?rD?yGNljA;El&)!knwJ9v(mlVC8~4j2LokHr
zWyzDrj}xKm{8Vy{n<(3HTpnQ{B>B#bww}i}X^})H~tEZz{
zN8p|%Ki_b-4*ITsCmH*0o00)YXtNw9@d(UIx+yf9-b12;@I%>BBvX-*AP5ykDbwM5
zZ{V8G@|mhZl>!w^06f6myA?x2L!pdLcVbqV@4jW?rW@r$X4NJfQmy61h-sndHl=;;
zrRMAAX1gDsBnbj;l{1Ww7V^@UeS^#bCup+LZXZwe8|Bi^>NqkyYQpc)cg*zAYrDY9
z?hs7zoGl9}7B0qW5jm;Fa$I>e_AkN6LvF8bEXL_`H4BvJYGFo3y+pHO=B5wX_2=)T
zUKwS&GUJ;2=u!yNxpKpf&6o5SQ1c9+_fdh`7o)2}qXEif91P>V^8MVJU$xf$=U;HH
zo$xY>Vq%SO`u2_t>JVaCKtCA>k9MUb2EvIrnU1NM#YI=6oFs7;=C0aNQ!ZfsTf!0GfvU(p*pvTilWE1
zWaTrL4Nzon8;>VSp$AZGzcghi`$7+eKmsH0)QhVJwr7)>GPBLCyc7K&@%Updiia4aN>KU{q-*9|d57laY|U_ifHchnKEOge+vmWNkR;2n(Jg4zS}V
zj#`wu{GM_no45)VG;qU^kLIJcfy8Z133m&*Vtx=<-9HZ$gtGPCKJ?3TXX+!2P_>w^
z9t2@OgJpyIoX_fhh~Px9Yq5aZMuORfCz^4>Yj#6p!Q6zrzIkpBH|x5qR^Thq5|V!>C}Gvgu6
zyIN_#EWYW{wCAB4EG_pR_a2*fhYp!w&+&C;e^J4+ZB5b#o{po2|S@{hxdo*$L(OS9Dr^%
zWAFRsN2YlV5Re7fbQcd0DsZUvHv?xUPzyBCwE$B%Khh+jNdJoFoe3sccv%0F<2)&ppifZBf(m)yaA@@*s)~)ivsbj5kB_fv*kOZ-y;S%KQ|V#w=yqy}hW?qQ?D6fDuLcyy)+u&A
z0fA(QQ|OPrb-(2{S23_hTwLvj{Ljvtml_KNLqaO*uN=wie05=O5?q6Ay_Pp@1(XNe
z`cPlb%Q`nM%?*EGg6$yiY$YBDk_sfyR0%hrW8O$IhjFB>!pj4-)OJ|7%oC1R&|1@;
z%oDBtJRj^G_`JdS>8@Pmt3OwEC1*na%>4e+ZOyceOV6yJ?B^-zOH!sr76vyKUWO&k
zYkoTkXBYcn&r;qQxb;k&JM>H8My|P=3M-mq+xFOR7MM2Ao;{Ov`C%kCQ_CD9eT@ql
z5B`KY4|7iiV2mIA9G%qB9oot}H*-+g^x?<|7Xd|evI5r#@9}ma((s(`Z(}kp5>CCm
zjnlN&u_(Y=Kdx(DR$?4V`c(lXd0>>u?4KHe5Q|hU?%swyz2}&1OPt#Jk~(*Y_G+~{
zmwgF246o`=_3&h8Vg8=cj2C=)2R!B3;z!SoxkkRoEpV8SlW*>^y?)}07WyKkv=7w-
zcKuMC9_|ZVcYTzu%)Vy5f{>f@C}2pwNR)JSww+AiJ~F+0~ii@?tO5zS{fmSJ0DJiPQtE^9^D9C#a`
zCjwgQLf!W9ITn(LzA1##WgDH)YkAib{85^<|II@cqt-|UX&dMBOioSB^SJ=`lgDYj
zlBL1rMaW5yk@Dfn7H&wfkC^=DI;z!;w|q`4*-5t6sKG2q8zaci8}b0o7M^p{ZKKW;E%OU!5mY5Zz3uRq5K>Aa)(?FnQjiSXu8G2p
z^FH5=QE@jiRr4X`OApj%%)CM;i-^3hT+WV)D)S!e!waTfj5~Ezv
z!OP_0blL2)Wn1xWlrelHklKTx2LYiuAZMj(?~&Vi8w|o%L|J7xiK2st7n{&ZqNpN8
z?zvsyK5u>XQ-1Z-Np}qmI>LGLwU(CXmr)2E#EsmDdK54vdagk%BUGdl|LjeD5YGw{
zSpCF_T4;~&q53d`xgNK|GIcOMBhho_gjfF+XM0q!sB4$xTCW~B59vKT2$!SI13kqN
zo7K}Z~1A>0(P6z=AnHoo8$
zN!fj9xKr3^Yx>M`pt_)JlK*vs6HYXx(=WFjdNf#l_4JpB%g@fg3D*5I9<@U0OJ1`5
z)P;nG^OsuZo)QSAw!eOgY!+%%r59FKQI{llkq$y#ttZ@f$UvJV?9ro8tT)ZeFzB9*
zup=<^O|LJD(fwjy<%*6aZ@Ct7^!pjQoq`?P^vGL$SQ$$6r_Ved%IA7gOkaDwSfpLB
z<3I`DKz#Pq$Wk~uy`(D{Q@*}of5gaE-H7*s>_GX>mPELVq5|`l-vfNiA1{Lw>B<(+
zdfIW?o>e}xA6}h)9I*d5weI#nUYo8tseDW7wQqa6u9-m^wbW)&msi~1dF8Y>4|8IB
zqU)(KrlzH+3~vW_=N0pN?oiZoxLl~dJ2|ZKT0Qu
zrogQZkSRPN!wMyn-6agxMN@mW`R%NNJmJux
zZJ-_S8CO>GPR(
z$JNiqg)t^HXLq^KruKUm8cB`~P350;YW1iesPVegGVu6S@adDf$t*kYB~t2@`}aI)
zHgm%PB!ABcFvuFFw89sdES~A|8;#
zI-YKy(fkOVXrx~pcF{6
zB+P1+%CpKiPR$?5!JNqKJ%aWg#h)Z%i%i^xqi`^K@R57IL6IX5_(YrEHYm)AH!i!J
z&L&9Q^7e8e@nJT@5DDddyThrC?aTw4M(vBVk92+7LZi|0QH*plS5)caIA5uTr(x`;
z*CC}&mRrvzH!_mSKR-QGA9wJUN%WNYONO)q_4g0<;PtpOA8MipiqPr6K8J{d=XJQxqDeD*OjY>
z-`s!YquJ8zaMZ#jOG|SQMg*ybjPs3m1b9ygG2K!kw_E$i(dev^$?&Hev9GJvDKiXhgvew<1(u;po
z>1f@0he*mp*lu0gjf-0%Bs`H`8}`pXr-x%2fYG0V*AOc)qSZL~8R3bS@L0GC@1lBy
zfH}-}DE1Hf{E-77ABeSS07*~PsHI-zdVnEv1^tSaXc`bk61F}-+pt6*^jHvu)k15c
zG&tSG%hcrSzNN8&NIp5c5jpQ4?exFz8$RLDQ8S^Y{&~{mU{SUtsp?a6aAB5)b^^#YVH$KjzQUxHdCAU5>Uf1QE|
z`msY>`t;Xs?c45^iGo)D?9<#`{3lFeXULOdBmE*pbv-^WlSUX0wfo-M8(2_qi}}R`
z0Y#zwu$ha9x>%T$I~?-+5BK7gg_tjIM>I?CDboC65=`@$B^lkMI|q671u
zab#!%Tq8Jk;sv9lZtj}<$a)VDl297)sO7e*1x#_>9aLrI7?V_zU3ym
zlK%w!^69DNMiRl=EW#7ihE(p7P==z*AL=X4#!*`RH7oDVwCyU)c)b^As#20XG3vNV
zL|*R&e7J$ce$dV=YH(L_*Dm)(p`$~A5PT<>JtDP#H}w5YF_(1U!P^v38bz(;Em9uB
z+aK=i486tlMd)KQzy~=2K|hk=b0p9CmG9g2S#w&uyxOi_C=QpCH_W-K6RrAxWY6{qIMUNWN7c
z`K=@xOXfs$zp#is5Rj!#C=2qxmHINYr10up8tH^X!9k4*5T$&1=~3cUhWWT)Q~lOc
z@9x~iUW8jUkG_2?cDBFv!H`p(nFNUhEf1W+-6|O=2sI+526teCA3%g|KDP)66~y=!
zAaIO;D~Xhs!k2^r4C}V|y_aZ^*d@#qQ*B(EU0Pq&teiLHXt=JJ*Qv}Re=d^e+_?wG
z7&dKEITquPCDs-G^LlR@ukPnV?bgnBz8r1Xv)RwjFLvwZIo8uD0Xchas-@U_(e6m17e$gB+j6mH+FWL?4ULCB!92B&
z#YlwlHKkCdi#-7#Ph4*m#;Jt+Pb*3)DjbzTiR!oxrpW?CgVom8C*y}$i?7doRUH}~
zEt50Q((2bf(L1a9sDq!z&(QwRNUOdutEavC_4>iZYu5(#H7w=RqjA_=A7#Qre7<5c5ER^f!>9G6v
z&8C*d4z45wt-OAHXS>CzPR-IikF%pQ4EW6)KByi1B)?VLeX1fKQ(&DTF7y8?uZXL?
zLnH$zj@@4f33yD=BCodmb4+)5F5u=(5(&x6Wt16_$MOb{M45p
z$B!r-zWQwD;oFNtrKKMm8;{{(q#&fUU{0o(s1`(@jkfL=6@Bx^r-C5uILKg&kRJWo%PRi`s*xxn=fk+cFfL{@#6+Ujk6-
z;56x)3Y#
z%62QMuV_`NNj()_+a)C>7jc?#Y`_fCdCj40(NykLSX-I1=4Sw#c>bO|73r9!rug;p
z^mLkaA8n7%+Nx=h&G(Ln;o)Cr7p40=DM&%V!S==->sACT*^QWGeO$?cU9veH{9eC*
z-Vh8~(60K^CD0+7ASx-3jLPMA3*fjA2vsjc)`j#nPeAJnK6!{L@~7IIx!@MKc{`O7
z<9#TKaAZq&UJvzwoS_WIg;n_aGt(0S2-Y8WI#)-=Dt0
zenbGnc_TyF$BrGNAqbH-@$%aV9v-30ad(fZs+t1<6aTIePMOs~7h0z?86y~S3@89X
z$d7{4;SmzbFagZqMui4gXGn%3u{swb-EW=LTXxOe#FL8Dz2ITnR;VvE~x&EDD!^T{SHDQBIL>c@7-{cei!@J
z*S6Co-66JTNs)n`8l@bZ!a
z4kgkl^4;bx0*|ynmNct?0$8sCq^z$X?%m}~y_tj=T70A8tJ@A->%9$(Y7iWfi
zw}LBmm1jr5$%N?R-sHabqc^S^ZckdC>^2U1vk$~;9T6)~YJZ-Rn)*Dz9)yr6-g3Th
zS`EMq5s`5-FmM-E0*LV-_Si$fck|f>B7`Xy0v7gxfdL7QJKx@?ZhUeo;V!gJU9S;J
zO~RmLtFnFnm{vu*aP8B_TQdPAHZmnWX|ty1T|82`tPu5px$^Vo^AD|hxE9z0;9u+{37amd6+kV+FUWk9P
z`uvoio=YwWF}B8G?tmL>5q*uKj5_w9JvpcfWC4M?-K`m01<4=}4LKvkN#4+TLh*bn_Bb}y{>Y-^?%Nd!Xz5sn#%1LXGj@u_2dtcJ`4
z5|4Lz=M=Ee%NCu+)nyvXD>^zjM25T)=i^hE`Bz0A6eOH{Xl-Aif}Y&Z?qE^nx!0%f
zg=XzJ>&xR7XBf(RTITw#=O;Z{&(G=r$RY@eBlDFpAe)FHAD38;QYL1vB^?%{^LunBrJ$(}L>*dDN@9ED2x
z`IV<2qc4U2S>&f2i;k0Urn^_rMY32I$
zr?73s;bWE~&F6}^PJ2kQ#3S5Mr;!l~jpX$7#)`fJ_l5yRjz!iM(lRhKAYF%yv<8_`
z=Gin?;$#pfT6%W-rJ=?!l13VDx~;tME1qc;%JdyF
z{#Oc%*Z|KGuZ|cHtuK1=K8(FXVhgDXE5XFFO>iR)nkrkrdJ-gmN!Fd)0q#MtOK859
zEz}W$n`xKC@AD2(-OF$f)oc4IGlnbPBf&B
zs_Z}UevD^Bw59^jc8V*9;26Ry`QfF@olG0Fd&P7v95bcXUzlj#NaxFGrZS*=p2Q|k
z@g;0N*JD|TUr?}dq5zEFAV5=1M-4#6%p}Hb+s2CHZInQ`WLtM`#I3Ywh!|AkNnRl0@D{r;<>-Y0ejO5zi
zui?#PkGn<`mT`CAJ#d08Wx=bMFI6mQOaqM#X(w;;592Ij2GT>R%YFoY0150t=W!N@
zoAPlc6^!_dNXbwG&6u2$@}>C9c9YFM)V@elB`Jat2NXDA@1dWAk+q-l&(E2r3KZT%@momlC`gbx8cev~1y4uhBhfMo^n>xK1+QjSWIO|z
zb*asVK0*&if`n3M*L?bkqAiIKUe}hp&D}@w*50m1=wuZyTl_@EgR-5S1Q9ccT-*m|
z?fwOY(`~i0v?W$(jn0%#-LSIhVNp#ZB$*@yYbd%#~OC9cHJ`AK2e*l6xT*Umcy&%eYr)`$Ta`@t8z`=wx^UVv2b)0>&rw|
z)t<92+A};6cQ}pgXcCDycH=8X?fObNh=)f+-GGeWvSrIVYy{Sw%SfTVjS!3hJcnC#
z7Gzp73?sQ?nJ9^R=5Sz)@>;dAH>825x;`s522TEd%I$)k&$rw
zR1yBw+;RH313!d1!5GZE2M%lnv;z4rF*fnx?+}3PiBPAIc3C(fh`11`D<3yOHw(Hu
z$6%MRFdfQh)T`B?fMdty5DiQ61#7RwqG~0@0hkH}j{eeNq0b|@hmr`w1>D#V!LA}k
z86cXSG(<4~QjHLrKmn*at}O(H;V!{iLi~=Ii6(kS(7k)qB!ZhiB|pzXPO&<-opF6y
zVb5(zQ~^*%Xtt)Q;!QO1TUtd5-${|+h!oQpZQM0P1FMj%6&CXnXeBc2_?
z%*5y9^)pH!s)tITA6v{(Y&A&+Sxg)pA<$J2Su486
zrbU0%je}0#7{3khrR1i*ipH7
zw)Q8`Mgy7&HFS=&`Y=;r@B|k`*bcUe84u}m>gQa~o4d@Qg&cT4Vtym`$KKxlg!g}r
zBqr@U)0fGAqNXQAQYfCFe!%stS1-uRopHeGd~(DOb*&W8@5v4|sgaeC*SP
zx|vFU(U2l`pzvR=KtZ9EXDWa1HR4NO6YKcMtDy8Jg5jhhFOH>RpJGRTa
zOPP91?Eg95u@OSe;1BCxE-c~0iYG_FTXo;i4ZKnf_p0tk+^K0;BTerk$G@0-lepDH`=}^=Nl#V6}+{a{h+q`UDfK|9~#Hb
zQjXh5E}66h``2N-IeyZ#LxTvb-3r|TiII`f7t?+RfmUMWXQlmX@S8k5zHxLXi{9bB
zO4qM~gq2Ta$T4Ko4QY-$gw6~B-uYmrt&8@f?BhSOevguklV5nfe&$eO`}^Q}?&YoZ
zO$|YD1zS%38{py;9Z?i7W?QRzA7y^JK)SUoY5jLI&t$(%W)UMCw|YA|#>w0V>o=!<
zUElDMWscC@^L=hZZFMTa?%c5)HT8SF``K76}qLWJd9+XI_R)*^ynPE}O?D1Q8|y*R`kDHlUJ
zomMhcQfwXSr*PZ<`PqhbcrIv?|Ag=Rvr122^rEYQG@C!GL&ABA_R8GW1+ThQE%>n=Y<0QxW`=&;J
zItys-@2k8%_J1RqspIs2UISdHcHFvMa($$rVETXirw%W+me11q(crh)PScI%93rx1n3$r{GA2mGm-L)WZNidE@=gA6waQ{{1V_4FyiZ@6ON@vPi)y30*YiQFxIPVk#Et
zejuOw-8E<3{_EhgHC;~_@_p4QUFV)9ll>37)|ihmY9y2yWEEW#sh;uLW&9MS()9Ri{-eTC&6mR@&UkcO{xIRj+4bv*O~W33>!-PC6Cz)pY+2zKIKwF%
zrO_4>>7M(?A;EJ-_NdBG>$=rcCMQ3iQ6QpeaQ63Ci%&W(5E|rPv^=x}vkSMk)cN}Z
z3(1F$`lOoUC2ucYupD+ZG0f}iX4c0(iN0pG)E0&hKs`60a~J$5BE9FLm6aeusL>#>
zUU?=1P!tQ_#Y>l7=}@fFez?qC0Rt)ceiPd$zVB0`NB{QF$d;2sC&+0W|4L{;q`r2W@cEM0p$^J9$pS~^J
zo$gV-m6OviPvI*#nd{5soN<5Id(GWSmTvRroC(HQ$_*QYy5dJ_ESFtyYH&@~^o9i3
zLVxZs^s9vSc}Rp9=1W>P_y$(Dm*k6;h|)@l&2jWvvj2
zGdCdKZFF0PVUqv!zZO$n-dEgN)X^`YHDA{$_a#U?LDCa1}8K4VrwW_
z@x9Zya}t*yhlscmP!P@%Yuj@&bJxzDRq-^ft*yU8FAGDjh5Zz#9U|aPB(I;Rp%`~F
z>6e95u-G;c00>jA&YyZ`%4NOTvW}0{?pxACkB&~yA7xM?dLUg>>{hY?TM=5<1DoHaeM&L7@8-(2L-bn57o$?GE~zGPmv|Lo`HA(jCq
z{gWroqu}{ahDElX9{C@%*NubH>sF3Iv2M7
zd0}gZoL4tqmD~H+WR{s^yEVRc(ubL&CC%bYIwH00i~x?S{1o1r`v5;Vxh*gjI(S&Hy?h
zGIwDHL2$SXO4`eNuEUyu>TexI1^9uSn$=5yJGtUoM{ovhjGWtE;EL49LIa9RfFH;{
zocYFO@EEEUAV!$mr7+vUEp!wAj`smGawtk3Ru-5yiC+N~=rrC=i$W{MuAn(n&fkNK
zSVfn7)Alv9ELWSH{=1Ivm)@vpeyRRKiW+huMO*4GGX;CgmzW*
zO!1q`Ybc~-s
zG*@t~?{IBh-JuO!fjpBQnN<_>f=SPQ|o?k>CvX&nO>kpVpMbQ1T${`b$zg;zT1@sTCF
zkvi8M2q^Ty@e%!t08R;wI8he^CHus7hM=wB;gCR?Pjh5!B@>5^_yU5uX$DIE!s+5Q
zA~KXK&Jl;k6A&icP(<$=5ka9I4zLL}&l?b|9ZA&@h&lk78F9RUVXnyyKK1*S+W=#e
zlW?;(;W%6+xEAt#*1TC*S)ucXkCAB0CH^@<^om%2;=1&HZ)@jAP@T#UMWy7ocba*x
zGU&D{k^A-q-fGuc9~dfnVdtJz)-`>PXW0C}lJ?Ry+pO~bHIo-{A#1Vj+k~S&4$9>0
z3QSgYEpHgk8pKE?CIML_z0kG)Z(!=YLi|7f1cQ4;AeJZc9cgHVmSY`pbIpMfBGWL=
zaE23zDQUXxD0dQu`NHb|1-p_d9=f0(9*J>J$NX486=s-ogO;L>(FwshfnYgaVSVEdgrrX92!t#r@RYIUyw#9Df+3yc~|
z27upsqAVxuz4+h7+}-e*`o1^4b2nJ}5z6CaqA9`gWeqcghmvFmQw5<;Ha&Y>pRl};
ze34^aE3`Bwf)g8rqE{$2rc(LTiKA-q{%vTtX9y=8#{B|i`kr{Dvo*lJR1Uv?n|M^i
z$9!!8(3fQm^!4o$rW%LT+Rp_u8`X10r^teDkk3s($DXm
ztu|kPUw_JSg~*KzeHYG*>ZqXkfapZe13trWgOU=Zo*Oa4D?8y(nKSww9@4n24h|~?
z{DG%p51QwVhF;Q&{yVekIDRg^&}WH%J}u%h#7ZI^D6|TxxG}tY^Lm6sa@Pmp+3P`4
zF4LJU#S!PV&0ZK^K1Al5PFsEd?)ROpZERx43@dg&$?N$a2zJ}18j*OSX{*KhO|NQd
zdOqfytE@1b!CEnhxlIg&!!Wf13!oq&n|TK8JCU|*T5>vUyREP6_Lzju8>%UWD4PT-t;`*@4NT=
zzWaCV{T};|y&cc-93|HJtk37Zulu^r^SsVWQfE0+gR_2(r^RpP%FAOm&pJ+1f?21S
zysll;*d^MU!X;wisic{llEOs6ZvdX5i8NYko?9qmMO60YwQ&R)J`bfZDXEDp6Rk1?
zNXJwdX<6Be%?Z5e<}va?>R-%$9Z<3tgu5XjcD)-1YxYF({^Ab$leR}K$`W>3$imdi
z%fBwv%9Ep1Kk4$|s)I$-EBnl5G2||Gm|0%j5A<%Q=iNvjZRGF-Lhpnb_bG%IA#y
zNq(4>Gec!vvYUWJn3;w?+^sl_AS1SpX~bMVQt{(RN1%BNy&!&$N_$OupJ9^T%5a=Q
ze}oYR3;qJmiuOi|@5kFtpx7shJJZ9TDWENxiSp#q&xIIZsM)!A>C(5;ldaQC6b!Dt
zf}a0SB;t}?x`CjcUjjnBbnuSYf5f&HB5xjPLk}|P9>8oZ55Oi9muD8H%|Eq{`Zeum
zM+$G2g%}l_H9O#IMnEV)T-T6ShD*k*GRWD`RcSzuytL9`Zq
zv1B?4u$pVd1;Q-k9-tYqq;~)V5sn4!Ej4Y0wW&JW+0HGdH8*}x&
z@p(x53Qnb~$R}Zp4e|uW1)>|_OK|1N6#>S)xpTkZ=mvc$jjRWFQUx$uB1c1;`YH^)
zniKMySsv2yBxY`IZbyuksYo_Hio)&s&6}JcFUUrNuK|+M;BKNj2E;~0P(ToX=ps+u
zQj#p&sTQpURrCxy1X~Rb^Z?v|XD4XQ0YIc*kyQ&P%jaxfK&}A@b&F%$Qro_!4FLB5
z*MPGszyW&?4Qnv!D35+zSr#Jj$Fd*$B=n+(#jdTIxMPG8Mspo@wqhi4r2vFieWCDN
z?ix^Mead|BG$jpivf?7_!w{^zzHx^q%RUf)B9;vL!F8&j7zSRPLqt!)gjQHa7qyA1
zJIxzq9zpW^=j#dZt|cf7{!(6Dva~cJz&cUluNl{%nP3s64V?B0f%0Ix9^_IHit*v+
z;6X7XHJTNIW$i79tNOL12_8Ft;)_Sj5jyolpvZEpma7`EH)deQ^#Q2+ioG3f$&S!BLYV(-pN0=sutw)u6KH{||Yk~34<&*mS}YG?o5
zp4aZ*?Ro!4{^>zP`d=Ztkv_0`UGRQW`=G)^Ev~d1sN{%6yaq$l`hBvl07qK==~j(s
zHQ}|1Z3l3|Y`JCV6;!uMH27oJehq&D84!q|FG*f~WYSAym|4iUOg&zMcU;$E6il?_
z1LH`eyJa;*WU@r5C+E)xYv))Ma#{MB3U`3+$~jDw-`lR7xjlb}!s`7~*?Zx)duT;*
z^LE};MPsw>gQD9;Qnf8IrL`@9^eYai*9F&gmx|k8a?Od3^egU*tSqZpd*8^gE<&{K
zZ^4Cn;hd;V*fNJOx6ZKFZ)EqLuXqx-(oV34?%>?FZ#_jxSN9HTdF{JVYET(~-L|w$
zsG2ggNq1>9ORN3lvSi5;?AQ4e0P2XCbwy6Rt2S)#1oDi=7T(&3wu#67{_c$$w+roX
zBKMqJ?>Knw!ZG8~DvWx>=k9j|^a;&Y)vo)|ah<04i>1yn2Mq__-Mdwi*8d3+eZoQi
zI9o#p&WE+!v?JYjcnRO$30c8eY!r*-C#f7Q+gI!DXcWj(I`og3@=r~i4Vhcan0p(w
z?F{B}{T+CUPLf3?a@AI$oY!m~MKY|iZq|61+<3J$|L0*yt1aEg
z49)DHum9;~)_w)`I|gy+VsvV{)E2>6SZwCa+L_?nmQt_VcxKgiD?6+bNgs
zpY(XuDPU-$sNXxMQwDk#l(K}5LTmWvXa4$!QB|>Q+<1p{NTCEx^3Szntet9|o^Um(
zidYJ81K4~LYK;sFnA`Ol0
zRlp&fzvtngl2Mm$-6liE1>sOH0Fy>&Qo>w7MYMP=-ww?(>%QX<2Bp-Wo3{3Q!8QGg
z7~A<=d%bw5)
zOIwKrL{vH$-a-2F36E(v=g>=}4$uN#hg57o`!vZRkR_n~@bisz`sZUZ&eiYcJCQsG
zLiLyM9Z^`eb*CgU#~c~O
zb|!OPwTTWKl4-J9^5aEL28_XM<#9qC6MfBD){#957T1kd;SFTzWTzvid_0O<x;d0`aOjts1%P~t6t>J@}gudi+DhW!_)L<$2C%kQY0Mmx!|
zDKi_A46B9^2CZpx@sDpYR`@o$Wb!F)pf(`r{+)-r07i=_*6wJ~HyNU(PbGKn3t()t-23;j@k#C$#XacE7p};N1
zR{KuTK%u=0BtPe!60k6{n>MXoJCA~eZOgX3c}Cwon=17=EuY7lv^U1Hu)~;=sF!z3
zXKk!($6snZzvE4%qH@*+`|?`w}q5V%~3zLW>Oq>7bLNo
zF~fVf&pNc^0;~h(DrL#hV>9K%_XD`L&&&^Hgk`V#w})fC&8*^BwX=F>=JOSNxnJs^
zk43&d{3H8wNX&KnI?^u}wBH5^2^n|>f^k0RR%9+PTmktOxWf-Lh;tG+He1-Bj3h!oC=AbIDnFv4B5DcBi8KVcS6~zr0
zfFU5vD9uC;Ay%(kS%`zzY`;A?I7s{${-TiP7!t~0+M>8vxc+YeMd;@>N_zj|mXz1b
ziB*>~t5{vJX2|SZTn%UDkv-C8y2~>XjslEg@)ZbgFDCOUGVF{`yaSZt3G+1KqVT;o
zo((CbJJce?GY47bbJa0~Stbf;KgFbZ9^1KoD81$?*~i;D{A)r()UD7XEEf$!e`s8j
zORe)%TFk7*TrRWS(0Nks(yA)vUb{8RClYwi#pdM0OpTa-_1M@D-3?a78-S6`wUg+K
z_r%hD3aDnJrVB#fnHG3S)7L4GE$JWpzb@t8CM02QG-alxAGAP{{ril6E3j`;{1zqF
z+EuT!A2Fe!1$n*p<(p4Hl5Z
z(qQL$B8)>wK3Y-J^aNxyg_Ni8FT-#ufQ^8sRv(zp-QP0C|97(fbC(|_QNua$D8e@m
zz2}%1V~eU2>IZldy#g*p04#E9baX?K_fJ`mMfF=ZnjBt`RNeFSy$;kba*%7=HZrNx
zDraDxs6*cp3oxzZ*^5PhLV3jUumR#u
z=C||?z%Jqx7KVT~h(RKwgipnJr{5o?QCh|eainSMSuRtOB~T%z&pd}rWKm;Mbk8L;
z(yiGhL?q^r`#9PP{9I08(Z9d`+jOuK1zMInjvdm4O@_jp#{+xw=8XaP8iKTTFiejiPawD&APe&1P)J{FIs-Y{jG=%dkY#cJ11rFxN2EB!es9hpNla4%
z5m!=ER$TlVfHf0k)8$`V0M{?R_6mCgMmtC|ZvdP}E7a_5P+v>}vRx2g37Mcp`HXSn
zf(~NfZh@rE18iI>!jW+ilkzB%wzfi8*m~&~krOgepcPf?bHv+G3@``>iq)ruoquZi
zpYyV7REq`9BNie!Ikiwi1?#W(ED|mm9?mOl!s_XEp+&#A!xu
zN3{olPOF`aV5ATq0mTW(R6!_EC~!<9&*aTpYspzU$U21B%l4Q&f%4)d!-m1SoD~a#@B|tBjV`!>WPM
zP)=Z=OgoNVZ}{Zw4Go|nP%~(JmiH9ix_z5;?hwz1tul9BB8>3dk)l&ceCr*+5zWcN
z6I00;@SO!FSiNqgnI`)Vx1$KwPwV{^C#`H7xWf9a^<{O?W0WwpL#F+B)KF8+u=?;4
z_k7x5$aoc5)wMd9Q9BR}1=UX0A^pPep#%Et>5PR77N9@1c#zz^HM4i`&dlAz2$R1g
zZ{)gcT(yl(b@HWn-MK>=pwJj`2f@Y=2#iT>+y=^LtRAwkPoJ1afkHPjD}Bot1{D!Q
zS2wK8Q&`js&|QS-7erp&QQ}Vmgol^c5&TfoyDcTV50163$|%f+ObrcS>dxXV$y{E3
zAw1TfG@@gg(($1+VuxSkv>CzeTj>X#;>&et(kp-X(yAlM6(bv6U5A}r{93jjTCv)t
z(C@R=0HtHy!;~ccoud=2(=B-~b-}QSn+<-P`)y;VRyw|oNo%BK7;0KR|MeqBj*;Nz
zaDdD(QY)-qsgxcb#;Xxqlh>=T{53vhC>k4HTIZ1q*kpbbzhjzWxiRsC&!W&cTd`#~g=F_>=&%agKw
zN?PYy6$SYYmrar%8uMbQ2O^S#IMo(L2yedZNwoq
zeZ!J@69?4LR^>aC$d8i`_$Blb$)nX8SB<QZN9aM-SR5+O6ODRm!!Q{!ETu|XUOm5zO|9!X#b7~fOq+CY39~~QU3etmA
zEM9Z)jp$T{JY1mijJnC#Gc3yBm4_=IH2>u%-=W@kcl3C?#zpnfkLESE9=j%KZ8)?d
z=We0@xxsmVOSmScAj`GbpBv5c*9)iqFj{}74iE@;d$dchXPydG?NA6N16K>&IJuYZo1Z)tb&
zo2W{sKamg3nSb%1Z1UD?uRhmoOug%r^zxTZma7Y7KyUgkq9$beyg
zsd8kZ?f?Tw^9MQYajGrEDGRS>Xr|Zx-6B;x-vPeo&X;muHkl{po;hjo(P!4%_6ICS
z{B_84!bT#R$&A8l*RJITv}r!qJ~iQb71+qy>2ueh
zX?(T9&jab|07p3mTNdgpH>A-KU&(6Z71zuV$$jSOVYZUw1EX&D?yVp;YeW`Wn|RV2
zn&AWN-nVYOMj@tG>qlLPXxibP55yGukZNObAXjr2uMI)vBH(>H)Z@(?>EF;rNJIaQ
z$W!d+gdxnB^Bh?$;Enk^V>oW*->rsx5-3Tg_+xl0L!IQE_}(C`LBf#``dML?1_ql^
zj%iwGM1;%zrNdlpnB=%FvEa2Sv?$MLI?GSQn|)dt0)f*`b3Ywh1=t5cV2!;l6;|gIjgdww;@5R`^JZb;HOL~}->YR6DPlVS@zCpHwjneIJc0E3J|Wd6^GR`tpur&D
zWnwQG7!43gVN+_v?+go{ikBgnSX3vL#ECGO-1IWmW^`8k`zw_ibcy1N;s4it34|72_^s;
z5)zd(cKP@(8~;Xqq-`~!*9S;Ir>e)YV?UxWX~SmiXh<}Nyye3g8w+>k*nickDsJc2
z7<^P`+8wg=!Df^8hGm{jq)@|>uYeIU8B>m)w-s}qrWbH-`q#*nC{{ivv!46chjxciw*f@wDkW$sL%f&Tj-dTM5Ql5a^r}Z!e~KYLnZ;SH5q_O
zu!F+hvuDl_2R)Blw{W(2HvQq{bF?hFavk{f_}ge7ifxJW1Et;9^@rz
zV_8=!!@mU&p2`Z?guWYMsSU_TaRQw56<7>y1_X<$`iSJq>9hSUZDCP;)86@KMUZOT
z+st%GNs^Oi-2k2W)&ezYWo4!Cv~l%(i6b}6_|q4yPxR*ex|F|GBk4v=&FZKHtCim{
z-&&ukbz}jjj8bM%&2?&fa$xh=q)-2{?9(Fex3Sr$IEioa7JJwew104a%Kd_G_xE&$
zSMN(dSXU>cFbNp44m2+FNM~m!F9z@;6R$$`>l+-*e!d6&ZfR(%a5I8MRX9rEE`UL`
z_>8u%7jBxE2Rrn)mo#JkI%ULyjT%w|hf_X|PK~mxS
zGTE(}A2Y0*rq>EY{SbUJm0<1ThbF6^KQAy?%K#7w_#Z`?t6^#yt=@`49`}iLxTjuK
zC;gmHNe8`-p?>7Z4Z!}Pgeztmd^pu}R^q;CfW}HYypV>DLRB?w|VOub#Pg
zsg8d0SE`M;7-|*zUh-4xPnKP@kw^Cl=Z4`;cK%KE{Ab-`o*OPIM1~@SnZY5qry+Vw
zdS{LhSBn-21W@VuU(#d+K5NfZdVM5UqA3WxD#+bRV(H9sQoL;Q&p8F(<>
zNSg*}RgH1%+}X_u2-ezLH}u+P-(0dG6sZXr!R%$4{Ps-B+}{lR*<~EIqCC;#yMBU&
z(U|})5Q`8Sg-3%d%m*(2aB^QWwDDbT%fl=fUVjs&ZDyEO5SvG598{IE#t3aYO
z40p(G_)TXR`h;VaFb$U*VRuYLh5k`&@WZ|SBNi4G+}f5UOf$D->iFB1Iqcf^S!?|>
zVy0qm2I@<>AEYgeo%*Twh3j;|F!+YOCLM#Q%4jOVHckhj6+3h?AMWs6G?Xe#iD+S0
zp$lF9{mZTJh08}#Mx2}M>%d!9k3RxZ^=Ep2{K+cCeTVYLO0B3gVDn2)9FJmTV+%Xw
z>I1;z-aOXT4>wvrD!+ctC+B#;iu7zqX?WSS!IfN2ZAGbtZ
zTU*=f?NzuMYcmG62ivNY*FjOUHQG7vxNF{<7Pu}9-m~NIE=+f^hC2u6=|?DwX)%wV
z2>B}2)rrt;5QUj;uN-q7qX%O_CEd;b7GUlRKU$0(DAB%SiWr_IP;}i)jCuLYJ<`r;
zSF}va4^Qp8dN9J)z%J&4^9Lp#sogyhyXSB6VR@${bao=*;%`0r#=GUQRT3Cj;tca=
zbMY3}L%{|;_7}_Rq`X9j<1cZX8;U%RUTZV)vs8G<%h7!wJ=&0bNAMk1`c1x7-Qy&i
zptlb@GmhzxpKK#{4t>()kP!|6D`S8`@K+O0dkKn8MtqZxf4qH*bz`$5Q9WmJ7
z$&J0cmq=M=WY@NvN{z|fT)TGdO+Hnf*Sl0My;nHNDYU+oSrK^j(i7XNhlkS$Se=DY
z&9868gV%6|P6Hqp9~!>Zf%SVrr?E!i$w58XTBl-(Mt~a7czXxb~gcYDAT&3r92I6l%H9(&t++o8$%zb9MMOHE_iYTnA5)Li;z%Eur7c+qCK
zL~tGh$93+0kOTVP=;1_#jZ9v6#1(0WcDB96{h-EH9Jzcnau1Md=CMvJN0^1wN1x8D
zk(8JSS&q)ID|}zQJcf3(rs3Y}c)5U#q~Fa;%Sh?tN?MpC?o;_t?$(x46
zdUHl&Jm!w5K}x(JdkQK$^7QG|a3KQGejFu1?bNMXi(mw;8F0`gi$G6|VZ=pUpzt?|
zDSu2%_t>di{X|0MkQ+e{$0&sGcVpx!(kekw@?>N?HQ)AG>0msjx)5)3L%kFEMB0UpV%9{frWeY{4#QW%$Meigurs-GPBC%!e0Jq;
zH)PwRg{Z2@2TEVEJS{DP6w9vS$hxjD?}LlRJw|a*MV&+^xWa`#&}b%zti@$zi9Whw
zy{T2U7@ltO?ZYF53zn{lIX`dZjeTQ_*UQ#GREkf^2NHnfZK~$;I7D)n;lCh>6%==Q
z;P%Pud>P;_%qJL$`L*B~)+e8X1GpFETJ{bl)h!KSIr+06nNjz^3>
z4sF#6412-Kq^+V7%B>nvgy(`etvxc9ERuo
z5z@*IB%G69>$xPjB{i@#wjfIs9*dobFx`77c4qNNrWmMgKiK=eRAh`>U9bf$v%h8G
zJs%1hfD4xZwxA0J#TA%b6MdlXMcDg~!4DpwyLPWBvVPIYp(^8yMjU2>*k9_n;cBpB
z3Fv8>!X_jSn!Gb|5lu6*7<`8ud?GE5Qsn0lzppVwmPkP@d51&^*pwd!?c~#JsYyD-
zgM;Hyewsr5I1VP+l6?;X4F8E_>FJ65=~yg+_m&yFut>%6SB1(w0ub1ZtA6%QkyVyw&mbpsX$Q2-=jkxj9fE}p$@s>Fi1oA3U;dm&ILm_R>r
zXteHuSZwSRj+z?hOE_)GAq_ac_LBo5fR6V?k#}}=dYWgM%g>~k0-|LVced5CtLq#e
z53+ACb?%Oi90I;ra{{1i_buK8lk%uiSk|0`6Um~97mh3J62VVJaQNVMT*)6zT?DJ
zhnsB}WA5zDXvQ7dQLwXnQW$xFiTj-$o`L&`#XA?f!i9PFgM#>INC|&Bifvi->?sl6
z2Y`h>R+XypsJ|&Qh1h!qyNuKi$86ocUA6;*??=5h?2!R(cIvGf+et8!mh4HQYz1cy
z1Xy8W_oxVL=y?rn^PWtaGt8FP&=E24KNb#BY?FF6kJJbJb1&6eKZC;D!4
zqiy@0?ru-d`SHEbs-#(}+ZdY7T=fbk>-!XVA=6_z+n2nR`0{Pona$U2&{2%3wZAq0
zBr02VtmbaN_1Yg{V2@4N06TKh&@>>%FQ
zvn9-v7Fb$K?Y{`S3$ME0tI{!mWS0|U&lHNJ4gJxh`cRGCvITF?>rFWA@&gYYp&sM+OTjb?oErJan26cHJDln!K{E%{D=
z#UL%X1T!Q))o)Tw%rPQ+KZan__?^=vcA_v(20qO*&(YIk1dbU^RdI;
zOA1w;owJ7B@0{-&C=kdpLg
zd&o1-z&R#31G#8mBp2+@??f98l@|Hf+3d|n^Yu3qa(>E}KHMb*9Z%FACg)=A$m>m-
z0I4e4>4Fu`=Qy`%|88AXC1kWs0RI!<*pyhuw#S;5w8nedZqfD#qY{~9@w|&oZ3ER&
zqn{j&Iz(sI^@{$lXV(0}p=7R@OZ2GxDbN7ZDp7lLI`?U5htDHdMxne^###_wA_b1Z
zms)B9Z7TNm>FB&sYWsv-#RNOv8A=#teL+6HYBJ@bw<&Xv!7>S)o_Ju2
zkk33%w`vuLtct!ZkQHUhwqW*MHuG8UnIEN=yQ3KVCVafYfVAU{=JoVfKD&)+1XCe}
zk~lWEcH%Wk&(|H8{ItXPJJ8F4zL9u>>_it!}{9wx!^V&kJl
z=NajZy-bZ?Hkzlfi(4H&e0Ak2FXv4<>k4*qUhZXU`;^Wq)85dal(+u1OKZ1IV*ACD
z1&If~jyi7r)i(fC_))}$4ins|@{Qy+y%EMzynelC+QI+vV~(UOp2-WMaGqM4(AZ^L
z++|yv{hKNOw}!TMKqY4#l~&`)iwImVzjZS|KYzoPIiS)#O`?FixMml-gMipYow}gcfj}6)YP>5jo6pD
z`$@(|MJWMO&h@s-RKdUQ0A#MF-X1-gWM^6v<0r=9U0htusd3f_+=8~}D}cXFVm{{P
zQe*TxI2DoI-qp&TvcvSzs3P?f{YKCx7_YyXqi-eMKk)8Ha~td??|xrUjy4&O8Z14x
zPcm3QE9%G(tP07SbBxM}ixC}nOg9a{h!=^hnzn)Kc5$w|xtoj_st)0aE=G>I`sN2J
zEi87l8jUH~dCS*~n)>CQQq3!TElj`L(gyrvrkZq{cZ!AjXO;gK>(y}COyPS9V?t`h
z(wFYnDBOtfxTL`3eDIdCHci)kc5F9U{EQenuHlS3*R?#~uah`uAP1-QpPJGZ5yd71mAqdw0fBTM#uxgOG?xM09pYGd@itlsncSalt6jKY|U
zp?BH!Yeg@DC0Ckhxv3O}kl;U`cp+xEW`wdICIZzXsd?A?9dsJe#8R=)(=*L?*+sq(xQvw#v?!{Bwf`a~ajQH%&)3msliih_i<60}diWJJb@gXZTxKoaG#_k~
zyj+x}Iab-Rsyi2?Yqs)L;RiG{BCuvWY8V5KalKdpTwK-DnqAOv9i{*4Nuz{giLa~E
zpm+%Xxl1TPc;edW%?$WaSZ3(x`|}!L@Wj13h9Bc$9a}-~!SPtd7j_fgmcx!>r`Q?8
z9PGikYU3<1eEgFy285oqw}*M2%V=cRP|1n@)pCIR>1&q2l!Z-p^9A9M_z2T?A12+i*rBFiMX9KsiN954=M6JG+mz$X>o7eu3*iGI_+C%&;n=Kpu
zaQtxU>@_=9SQfE3HQ%IiN9(EkhT+my&aOOctQ0$xapk6o#ewlyn*gtqVN4;JUyeT|@A6eqB|_FBxrB?h&{Qn>&bv(U6tCi(
z2x@dn0SgJLUuF-X&3&X)SILesalf)}01!eLJN)2S)@RS+OqBm>Nqk^pmFlt24pKb(
zru(Q|)a8p?Pnx6aP+oU$paK@yF){n><_7zH8<|>Vb&!0fNcOM`&V++F(oNRaOa1(b<
z8WKk@;h5dEeFNYzox~oyx%m0{)!Hj7`z*`qc4gnQXV2EPpr!G}ztracCmF)sYsc^U
zPFVP31ooTIVwZ)r_BUGXRe4+e*4wg`Hah1|ozXkt#Lso5tuXIwXGL%G0dsC7R4bei
z=05L}6Z)OuRX(?3_t>P>B{8ez1!p*#(>LW0hMLw-_C1|b(Yje?{blxGuak$64iCJI
zTu#}ytbyy3pUHZ8p(V!K?wKCmtP{#zpdWlamCMPy(W#ePpOG`t-sYe$6ra9up@!>y
z%g!(k!)qe@Pb4>TW$Q&$ZRkCZs%Npy@5d>Bxvf3d6|EP_ew7*>6(tAmryQAQ3?41U
z{dCcf3RHj!G0qU-+hraQ0Zuy+O84Wa!2E#oW3ZwfFegTk%|}43_uk=`nw=T(pgFK;
zohMxiXy5+U0u0x&tyZ{f^Av61*g7c}B^
z@VGo3TiA9t!W4D;V-*l1)b~gU*36;2
zWO%pVKT3xqEt^Iz-Ii2=d{xn^+i8`U{Brog7^Wn~l7|2f&inWM
zuFSj)%R5dv%8E|N9;vkA4v5D0`!@bd5s
z!2-A&Yf9PP-afaiw~R5|ojcmHIFmqlqF=7BVpVh4iJN!x)b(5gHB}lI)=zi+UMwlN
z2Vmim$^3Ydu{&!^#1=Ljdt6osjJJ^WkTQc5DH{kO>EXh
zvB%C_?x4xH(E!^iojUatPHL;3=YxDB@OgNcXSq=>^vp3)QRTQG9S5nyI~7z>9-c3n
zBv>NMe3w9Fr=-vdF4y{g}p)cr$
zRYUDkTvDa#^*VotQsMs&L^$~?1I~4``5D@wp3^YT5o`sRqLXJN^&npx86C!b;
z=0H>*L;p*p%jKOzllVn&`St2SPo5+KjwN92aj^mEPd0;D&6Z&LX34_-hP0#L
zzbYYtx5b?EZkU)RTF03N*xlW6W*0X~&r0N4Zu|Uwe73k3Z1FF7hCTZo8#O`s46tB&
zIJB11Jvkuuw1X$FE*4mDA|gSQvRMOFoe6vwKufTq{Q!M`vDk-T$BqMiQayC&3i^JY
z0zAL2ZiQY`LZ#B_q4PN$B?&PK-GrL1ZXA^4CK!(DjE`@Nq0%vsogQKkSprNcSUk@l
zM-;ktC3ZeYuY`uSQ%sL>0qDTfM74`QwE!0XQZ+{EaqK9+n#<_mu>p!bb%Pe?zz|GVz>I
z=e)T99Rea?7O;Z`HtL+$B&x951s?$ayQ?Q!P1S(BoX=l{lZIBKdIQ@n#PSXv=2|$V
z=z%9xS5zdJrum(?o_~-l46;OO7jpX@ZdMnJO&2@sB7Y=&PB3O`ds$H^ZyrL$Z9WhK
zPJH&Y$-)BTQG*eQI*HCp3zPt|p@AR-43*a4z6l&PWmFnwaabA*;S%`C0b{ZS;+8N%
zVng=zNW!*5DelFZpL>++$!8#^%Eze_mqjL60!gtD+T($
zpoY1PH9@1}V3QholIMqK)5@XIj1Uk@I>*FetLY3Onr(w=B-n}AxVU40^%5``GYW5o
zNiV#o+0iyxg-{p^l7<`X1*Qg90w=4^cIbEZdhU>^tDR=1UNnh|*8m6d+Dy{|DL-J7
zN7Eu$q|E6?Tml6p$Zga!V{#(RVkGB`aG`=#qMG)LV`yMvA
z89bC(MJ#o5y*KPV_YkM&TH7b3XR4e!gCh|u1XZ@gfX~p*aRlD-ms-l}%m!?Cv{0lF#Um*PHT>8W8
zLL+|E$viW~x!X=?M`&r@kAEI_gag}inFfRq-tR>fKx(5xLL@QCn4C&8Y=}d%oj-h0
z{17|}b`mTAyMuAub^Jb2*PwS}Z;xLW@`Zp|5?J!#C2#NXZ%j+ywGC)Bei6HsjsDME
z7^|DL=H)(i?&h}ZZ_xwb1=PC=29-kyRlG>Wus2lDO7JoX{Dg4#Q3Zt>n1*BdJ_8Fx
zQZ;CfmS+73_O9xR8#X1bqUK2va_9GLOs+qN6Wv2A*o(})1=>cd+3I+$^cwq8V6>n{
zY7K8zV36i%t`SU!F#5*g2=on6#O=u|lb>EP!_K+89K2f%jDeN$yWmJEAF)~{9q>!QLvmF
z9t0=>@t+M{wlSfhuUVtnE%L%cOapcew%`mFd0(~>yDo_*{mczgB?d5^H2ewFc#G^K
z5|Zh*$e3%hTfmR%s|CdF^ObZ
z*y?w~!?x~a6pU((qooWG4QSBjhl<7U!W0
z$rrDO<=`6_XwHAk23^q|?d?%9G4farhdLW{lMHXbnK>RFO4QH8A3hvo_>3Whb|L9a
z<48(GN(btG7>%n6bRqkmPi{s;FF>9N!op&$plCcignp7hQEB*J0?_mD1$r}hWFc}~
zlv95}nP-mHy5jfmm2sFMqW(4F&{cV4wAIxWiKBj^7{~GQnzwLYS8jG0Z5~ImC5(xV
zA%)91#9q8BQmGP3JOAY{zwV2jr$3wxvc8G_UKPzMyzH7j+&!l*?f-x5eU>M-2)P$Y0i
z>ClUnhP>Y@N2F!AyVdCyI%ovsYxqJ@9weF{Z`a>p)Gmyn##D*0(2dIHSdo*ULKdWH
zW3l28+JyJ@hIRwS$bz))mfURU<=HwsC?UpQ%f#_q$=Cl~j$}!dP^roMD-SThK#L6D
zrgHDuql%Ljh-;E5cuL&ed(>#u>7Yk%<9l7mmLEW!cWQk%`0~^OrqBp14
zWYg^*_-damjE(Q?mkT~@NMd?WVmRTz<36s`B}4JURn-=zeUmZLt&4tzS;cP}ug$8+
zV3r(2%{{Dv6gAK?EBYM++-W&n2~y!{f%EM+#GIz(?i;FvItCoO`KmSw+37$P7Xx`u
z31e70@&62J%&T+FskZaFMDCPE?trb}mZ^%2+LNm3T>9hco_TBTeb*^C)T%8p6ptoA
zAIgzjWPx}RW@HCpbs-9ad1}9qNmQKTgCF*Qo)4aaNTVBRsmTwgcix*4S+>eZ@BI1Q
z^j11B!~dPcTzV+S2M*{_kO#Xr<-^RQ*}l;NinPuk8^voMS&omc{JPG?{1<2Q1II2+
zu5pc*?s>wOhT@;j+@8XXAyFBiCQLEO2OXgTyc?Sbq;8-{VvFmR
zrSHz%e$trC-H?n)H_(M)%#55!v+aGzQxBIzXshTBWhS
z-ZuAwiV)GSUHXTAhgvN?8Qxf_GIPiH=i}PG>#*I;TSGD2l*`BY4N2$&wMh>d8ja=~
z=6O8A)C}$9^wqW;p*Uz6f`zbWJeZJlgbp0#xxp3cfdBba$Dw$I*k?nrD_wX$d*`K@
z;-gUvmo8M2zBAo)u+&)K$+rlsEnuMZ@PBe)S|#-L-a5KIBk%|#87DM)@Ja^Ewrqv^
zfBJehZk&c#9*~(zDPrSYW1Jw8RdjYES{;Qj4b2h$$P^@2|ray8-D^_%+!|ms&==hag
z>s#F&{Y$vK3#&r>6vCqMDPg_kL)EjbIN}wpBgI-$CY;e<=m;END2I~
zg7ZlI*}%8*J_uGMZ~YXCYNJ&v^i%
zev8!29S~TfUtCFF|1p7IaOetc>)BSPWn2sW^NBZ(CUD>C*T
zlWJVqKNF_p@F|b9va-7HQiKGlk`*qg3NZ%8yPd|0
zVSHOT#il?L!$O3U2EBvh{l{eayjhM{Hpkm!{{1$Hy@-R9fK7Ot+jw+X3&Ze!je)?^
z8BG)3CGJHeLEJ=V6+Ph+XL3yEKTR>IU9T4lo;w|0SO*b3Fra6U($!=cni##U%Dw*U
zP-}zZQj4Qvqh!Nt@5LpA{rPZs*C>%z_afN2$dMBVl0?>8_o9E3keKxxKsyN$hN8k0
zFi0MPyprTiKxBNV!59aPr13s$>%(o;pVF)CgQ=!S9k9evQ>q|iL?J-!0@_XzNWj*3
zRDsRZE&^K2;JL#*o4Q5GB|f;4mv%WI*~+W#vU;f15wf{)CM=aAi+XwN%di&v{+4)h
zk@Qp;?Le`$?Q}ibce{bsEORVn3>UWzATN%Qar(E6Gx$%&S^4t2_mg+&&(axG_2WDe
zXb(Xay+cGq6P`p&6X;70g$H8(m!%$8k(QZbKhnFW*Q-S_R+AM!Z@hNgv^YCB-G@L!m0ZdH_GmN`5`>LT2%Els7<%&
z#P6ZsmDTz05rPyQTGi;{V%P*l!OT{sW(~Oxj`7;^fGqxj+Q0X_$x!^4nVt83XTjvA
zO|v-%C1ByV8Tt@^{eMf#A{l%Tm>r-;{MU;!TiFhvDZh5AoTi?gpCVAX*cOA6==3nV
zuI*;x*`AAXi6S(I5U8wQ5TVJAN6vOS;7q(RWRT`uR{^JD1*@BnA!f(^MzOZy{quq|
z0THMVnk*fHd*fms!>vmfK2eqV)00-ct@*7nBA@&V+dK_;4OMXp7R@=2kJ
zjG+uyiGHp3e8Jl2i$oS~vV-V(gkA&H;e{Xya`@UuLC%;`8ZS+(E{;Nf;y6QGMwJ2oLn|f4$%5Bj@Yn1ot2`>0mJSX_
z)4YBrh@MODp1v%B1}g0mLERVS4F}uq>|td!Jm!QMKyke!V4?*j!gSsxbq(;quRn>P
zU$-=9|DJ|Zcu`8}yxCX9QJ?*|iXD5+Ucf$|1JG)fPL;_JpGAt$m$NM69Wd!X;08hmD=oFvf*b*j|WsoAdX
zh-gogb*3&o9K6=9VxKqLpzi#Udulz@9YA=WWiA>h+hzNge@F2;qdrwfN>B~t0Ly9(W^3~2qb@UtsqfQ6C7^_);L&;yZQ+ST
zZ)sX3gBFx%(kH{fjFhx@8_yZ{p@i50ttS95r2okz;csB$kVbG)?+31G#?^f(k@V20
z41cdPTKC)Z`&HScxy!u8M;>lm<__bQjmaNS48{E-Y3DqC>|&1C56D_rt8b1!uRllh
z&++}Ph}8FtNqG$qp>8aU8X|5-MNU`(I1gtH*XpF<1Q+dOS!(YMBM2RwB&Z_YvDRw<
zyNXZ!YUAPIF|(bx+I)cA59xKt(V0C{s+!=@hIUAroRBwQ~SJ(K`s7~2ER#Q+6HtZ+BH
zhIGn*VtCvV?M{s8iQA2*D&G@AT(S
zk6NIp5+2EJwyc8Dk1>eGRjH3*0j5JRA*pw4^48W#cE6h)TJ_B90d`jKAi7qD7^8e<
z*yTbIY{hZ#(!Tc0yDnuji#P!Zsts_;;h60Yl|~^nqpVm66qgd>gN7t?i}```t6itc
zKvQbcZ9&Q&U374H)b#HsKt|(t9sh=h7lZ0OtM(xx1K1x?BBlKJ>!foRS2OBdVf|6(
zTssa1uR|fb!*?{9-J|AWrg?yF0A1yVLw&UApKR8NY`x4U?lPU
z-F`IqZlPuMrZ
z`tu>-C(zbci-4f6uP=~T$BVE6ITUGA0HRG-n|wF{s!QqY6138U;BbsbKmMEtY
z^f3vStsPX;fv;~#azTy|XcQs$s!}|lfWG^5KRL+2onbQ0xZ?^x!z_R)0Be=|D;&U-
zcf%v>0mk1EnF+7o{I=Naq^-X>?bt63X26axU*>CrNM|R^?&I6P0e@pI{tXAPTC*Os
z0GO)wg{)mLKT|yA+>ciJD1@61M+^97{*b9FBEf+W2hK=@-p{=r>Hc|
zkrs7Be?C+C-8;1&7=~*8p0uMMOP)$LK*P7ovWrFviha*$k5t1`)@`gj)
zS*wwh8<`iLQBBdl&bt4?>2fXPkf4eL1LMc@$3Wv{)_#JmwLV@gzIJyZLGh5S9CyK#
zFVa()H#Ke^Y*%~YR857FPtG!b-3y-K-PfA{X2#X=^76*d4ZJ*(^5jGqt+O<6-T55X
zd#zHs}
zYEbm}o0u{#0CN>O6cmQ*+iBwf*jC+pI3zxG5Q<_}o3y<*uv}{|J}yNq^&NmrC27w@`;0n}bf&PQL@Yt8
zS!nEEqHeBd=k-wxC<64NBIc`lXL1exRpjL6eCc|SHti(oVzc+mnKLnVS*FBSc%?tFEyN)ToIBq2;|&@@3iO&%5GDfU(^
zJP2euhkev^%ff&8?L#EI-dgtt4ANNUA3&4Yz`>!5`|MOX)%
zb_TYh$MpLc#5PRiAmoy&XzNPvCW|T<%Mdh;Lq=mRuHsTETvxp#5NtSl4vKj4kq_NV
zg3HqT7zWyht+cLnlbLgvd7zJ{k8V3rkem?fHc>l&uIpmlLufA%$Uder94eEiUg6@M
zGm&c9+#vrT51Xh~?wvuux+;JQb0S5eRrX&V&1Sv5Zmg`ME6{(>L&AuY=N7P;u|<1k
z&1i2UHGuRztAp?1uVS88z(~jzI6a1-rX4ol#arO$(@x)@y%qs!WSlk8Kl{h)#ccHf<0*~3g`C;Pe?OaUB2^LrPLq($h{xn
zhaQg6+ELt1Z-{@kg4Io_uYPuPo%vmP8hU>egLxfAGyu9Fd*1deJp4N@RP)I}7uz47
zUu_dVi?xJx7S}sDF?y5^7pxOuLH)Tu`7ik4IjSn|f2M4)unvV(EP}{UdLI~VH|3CJ
z?o!YwL{hs@_hx+$y$uC~p`Jg|VS==xOs|BOskeF4E9th`U_X=mFCZvB>VKRiHO_ae
zIFz0M+5KO;VzvAUaF}1tAj(7nxUC(yq3^KN#v50F!^sPQW2~!zTZnG$t=fffBuIP7_3IlKJH!Kbhc^5Lo&vB!
zaQXiK_wW5(tR~>XC{tJHcube&Aa_L9)TOP5?j1OExPr@3|6$>ljhnUw@F%YF_$P4b
z2#5at>%JS`Z1DM-Tp8@u`M0iq|DTsP=M|PQF#L#T31Il)x^xP^xEye!*Y7jO-uo=S
z%>R0Rnpaq;=|lM{;mK3

literal 71434
zcmce;1yq#n_cl5xDj0wTh)6kfN=btP!T{2p0@5iZ3@J(oDl&8<-3SOs`+|sqbhnB~
z2}n1b{owoi*80x*&iSA3zt%akRK{WAx$k?&wXc2cd9JJ|bKxw-SriI&0V6A=ib9=|
zK%q{e2u{Nz)34g?;Kykbc^N7A3AY`|8ejN9=qRh>j6&TALjK}~O|O`tP&6ov)E#yA
z#NXo{?rLVcM=PC}9<-eM4_QClXw1V=r~ck0DUfh%h?ovim}VPXn)AxF{8
zzUx&Cbs=~;k}T?}uC9J%jteD4vejKZT<2LC5*m8*#%Vu-A7W=|bh}Uf|9F}IFIFFX
zt#aHgVRvI8+uz?`Hpu_9<8s|ro>7BOYe&Z`7i4#ho1KYJsPC}9x0yHjScf7=sJbuMd2soy4)c&~}r|{&6m5GC6;KP%XX63r&55HWBYyTy;
zF#gu~DV6uSih=h=KLwAuLcqb?+?;NOZ5+S-SkBk43Yl41^OX$;g{O(B3W#n9sq0!`
zvDKvPx*0F8-=6>Ty~(;a>*em|V!m-xAT!)PMxW*A8@g*Jnd>q!;JvqLweq9cNhm3v
z$KusMflhk5OxXN-uhQVl+Y>pHhntmnEw-Z-_qQfIi+#0+K8N2txv7*Wpi<|#MWiQ;
z%1KxipV`^j!ETK|F1H^SGBY!qo6Ano+*%r^?_Z))HMCpG=KH?lzTSR&ayFE+zUxgu}(|C}h)uTl*nrXGm1NY0%+I^3G?$&}A@9o#gm
zb(vGG`_p(%XzzE~#_zJuR<0L*2US&7)hnN_Yv}72=#-h~nzco{TAxHotkdCz#Fm*f
zpRL>e5sJ4AXQQ<{pI__(JE7(NnvI#cd#J>;9G>mBbsNqJISXW4`*PLHDn}3YZ21#T
zpC?bvl#j7q`_(=_TxOA3QoGh6yy`Ae{VU$)#Kac14m+0_^Um>mqu#yD47i$
z6&9>D5{LUSIkUF2-pX2R`H%l8yq1jYY*tZGgEEWGfp=EDF1vHtTD^BQ^6%T0TS?9h
z?Q0r&tpp@{E>-ze6;;>{r?Kl*%ytMb_uaoeuKxXfYei;{+X)iUR-X>>ou8NQCkd4|
zisf!@k>t8<6)4y4ueM#CcN0oNHa(its7NLK-rT3_4h8E&^S_qYuyt_BSC{lQyzisZ
z^zJ7+i%^9vH5~bPA02Gr?X@MJn`uwTrk9W2J`$v|-WmC{xZ?iKX<80GM8mLnuwi+v
zQ+#kH#kXj#H=9*ZP^WUzrzTM`+xG}8rQBo9{C*s_bRBjhPx-Oka`VYEM16T0`S0Ly
zcHMWfl0ifp$OT~6yJa+#l~YShTX6gMe&jOXxHHXUMtwUoDaB`~y_DPI`6Ak;d$Ln}
z@+^`)?iJUrhEzXZE>cVq+G$gQ3(>2vRgsemVNguW=~WcIk9!ApBzm|#HB#?ggFN{B
zGUMq)i`lL>y45bZ6CN{3a+gzwhlh8UYL@%bq|YTewKC)F!3AdroFi*BDVco}MAdVO
zOh5J6GklLa!y5vQ64YLQ?gUIIo+IPv^FMX2uio2JbiGS*zArc8$B!TCV5FU5dkUSR
zTZzclvFpEAURhZww{IBvs5#2dwg!e{^XJ-|`+I~GZ<(eeCtED>Ka8XNC=?=4ow3p`3Q{~G&7%zHP-ZnUCYOh(e^vfr#m
z?@VHG!=dh^?@`@Ir9&}evin{5b<~%Ksu;|3Zf@@Nf6h?jk6B2v8hD|n
zHw|sc1Ct>XyrdLV<*eUM!*2ebXo
z!J>n&8l2+!rq}J}z3}_YGgR&pI9|IEUf<#0zisP|4)<^wU}g(1csgDW+eQ!DYPP((
zu>nroYRhi}HUg_M`rv`AZJhw}4y0vN)8rxK`D7yNNn7G7{ay75Vyg
z>fTa~5<>(gE-ucxKQHQ27&Y~u0-vduxAUY!Nn6|7`=6XV!_ub{<5|-5y-Q6=lpaGN
z>{c*lU)j^!d%Tt39W5K55sGM?_(14~&t%e(^mszYsxub(Al139`5!+_Fqutu=(!$w
z&VCGIlKS`9j12UVa-8eJz^UIn=OvNkjGmhc6DJy)*}!fZ^Jt&zNKj+0)MV8{+AxI(S^`4uD2hJG%60#SL*JJgeAmyvq9cNIM
ziR353V%2=yJv|;hdNkkl=BeA#ST2}fxpjZ*5sCJ&zN8s;efEv-(ca|lN((jX?}gs%
zFb1XM0!RTiAA>I*eq7jG9F0mzDVFD~d)Fx05BYJwWuULZZWN8-G5^}NP~2c>HjHG?
z_Y+h73>DQCZ_t^UnHsx3I!e!0ou%+B6Tu+W=Js5xg8F_XYh15!TkKh#ZY#IyWiWgA
z@bjYEncqj#F-DDUMS;}}sF!*vV&3avzWb7#wSWBUcjs9zPzop~2|w1<)z!_sfp-_&
z`Jd#4R&3Fk1e-EU1Ox8pa*ktd^+f1$^#VtsQG;Q=W+6_!`h$9<{dk_pX%vaDtRLMk
zG#ZUR9upm%1@E+b*&324E+gxH!fDYgTkdVZ7@9*Cm7{zQKA_l*>h(t}?0OML$#qer
z#ZcTbkqR(%a&kg5XLzuNQ3}#w@FKpPQH$XIr|)>R8L7k*=VeZq$mr|qXD$!^J=2`S
zjbh)q!pe!fQU%x08v$vE4@|{GMrL@d{X)WvZiz`i!&Z8~bw5BNKCf*@KAVApf$0Uh
zp*6kXHAB1Py~anJ{0Z#{me~9~d=o>#{ZKY)8V^+x0A{SHqN36z_@edKJlpkqh6W~z
zxYe~a`cp?!UT|bcV*J&aavTv)ojRpkZXE@&_LtG;^xD!R`c)S1c|99RZ4LXYp%t+405q&R5(N<;wy`Hg;%}J-9xfjpDp7^W0Gc6^-;vF4t9y@xRVwT(EvCn&xGoDYgArmgV^z)zoQ^07
zby~n;Yk*1Ah0gEyDv3v-T^C0*+-eL|=kh+P&V?*S75+2?fN<&@sVs}Z>oo3ZGD+Pk
zr_2eTJv&Sf_=2I;PN{Q|VO{m7HP_AA?j~xBd-v|We3kohgNf>F*N2ZF7TsDJ?M@meCj#6yE`LT=TgS-wCwJc%OTo3%vbGg~cs^;cd89g5H
zkC(>g8j7a+xA^cZDf2u#;zT_w!~llg5OMEnm|WOk;o(t3kWq%|kwo$R9ZS_g&y^r*
zpB%98T=^J|!>jXCQ&SsXc{*irU?Fc(&vD|ROwKq%3>x#^8plpYX#w7BJ-g?#RWrFm
zo!0sSBDUw&Qa_wjs_@eL^u}A+iB2JhyMqmy9v$1;?nnw|)hu|89(QcIpb_0Lmz5A1
z7ni#=>1(7UvLcmfRs=!PZ*b7aw+@07ukYbL%ajMeu6&WluGW|J1V*^jwe%kaAaD@s
z1uLkjxD(oO8Gs=J%d?sNcC}(WW$l)9_z)LQ0=za-Y8HC$C547D0OrZ!T(#`eqCNoj
z;%_@7BdG(zz1V|EtL&t#?@d8xzRGB2i5=&xapw*wY}Uc(@kQ(JC-5IWOv!lNCKFLT
z7D`MhkP28=S2JHDg5mzz*yKFtnU3n|Xgyw=0X76s0|v{fv_YYys0fumCgvB{>mraU
zQPBCFanory?>yKaMcrc%*LqHP2XTaat5Z0ou*R+!FT;_UCH$YO9bnO%*7TZqcsQP&cDL8i_rbb0Y
zWrBSq`RvZkPc}4g)UEgU(N4XI4r3^ZUy6CmO9M3M{q^N9KsNnz~CD+DLu5aM_&x+h6O{vbMI)ko-#qeJBR#-&q^zWxSY2!2B
zdrNQ$#gJ5do%GI$58m(Wwebm2TPmpT5USL_)D!Bz=CMkpgiuggfBEvIyD{J#!YJGj
zbdpLEaz%o4QN8ybAoamK#gxu$q@D(lI1na&nB(t%g3n<>e3m~n$o+;P?
zgdwmSdV6Qmdn*a*lZPeReI=$c8*{xfurE>l)`e};$9rNzp8uhRK=a8Nk|K@Um3E_9
zGE^Q?hQ*bQ^-v)qWmf61Ep7jtTg}Fd_>qpV+iwEhUjP()pvKVne&D-5MZF7Tfj`xZ
zqriIOInEqF9JI|YBJhSE=9^ucSpJ~ihn)!4TnA=udwP1>YV7?Zh}Z~-y!VQdIiWoZ
zg75u!UJSf*7o@i0M^m2y)R!T-m7BH@(WB9`-7?hu*DMlgLz~ma#`K|hS6Hs!D+0({
zv@~9m52+uoCE2A1gA{%)5Q!EtA{12t>%$goE{*4d)6BI{`}W-o6G^*0;Vv0y{H#py
z_(*Q~2?8(ZBOlEc-ZIrKO=ggx=TL{_%|PQEc-MGtvk)k628s;w3knKe&mVkyN{q%3
zi~RBH5L#esZf*u_f-pI^$6X?-UFPU8Bkv!X2ADe3@0c67_G=)#Q-Nka)ML#iDo}}R
zKq>=3GuQP-5~;MtuOD9niSsNT#Z4Rzcb5vM3w+KM!6ZcpL4k!GBOzg7F-_lJqo-$P
z+U8vD3D7Y^nG2{|2;4bCG92o+GV^vch9gEEGR(zSvOqhk^=937{rUN#he)z)P`Y`0
z{LW0Fh|8?N~9r^U6Mcb46Bm>!_BSbr^(%kEeaNc)oDKV`GgcB%u%>NqZwvLS81j05A|xb~
zla+m~KGJrZA~1&mu$wJED~u>@
z;N-aD6d-{M0V>UC3P;eqbh|U29J03n0*&)I!RG%7YW2P#BX3UhDy`}d=a$-&x=$xQ)>kh!_JDr@>E
z)W%E1FEN?tsG~$tVDuHoYsH}<5Z8a&pa^_JC5n~BK~=}fzP2%FB#*0hThyJxX7*G`
zw_$ytHvd9<;~a8=0=K$=;ibVG8X8zxS>4gXa_Z%J11O>G_inlIcoy>4fcW7GF~X+^
zfeD!LCujiQG2Iq}RM-du;>+aa3M4obR2w5U#b2gYX5q)imgD(P3mcllWt~$i&%B9L
znz+(T411CnYH|Ev+WfJtPL#5iEv~+_;}9VsF^K=){%M{s6?qfpClsnF!SYfE#CI*Uxn<+6#ZBKcrm7T_uuSIv^}
z1Fai*A?^h!QBafkePEGMB-+?u-x
z-b{OIYY$X;X(k-}$i7Orq@7_xNvO`<<-+A95;W|mX=-c?h)l>(duPNLVlnLrw+8_d
z7D9apoKw!*x5`k6^*}PugRDId%<3BFJ?C1eC2hXo=nn-Df(DSi_0m`sg5ozIDQOPh
z?6>7#C@AYVTP-doCRPyoSeuR1qi!Nc`@^S)+&ki&VJ(-hhTe%)V7L}|@#?wEYk}X7
zCRTR5RIaKCG%zlt{XV2&&NDf?wdK6CfDc#v`x`ScVhR0v06|FJDGZ1FA`Q*_)HIo-
zm~DuiqsR0hbgSR@GNK?!EhF!8eU6w3ueJN_iGpenRV2z?lls&1*j4WMg{~(r=jVdeuFq?W#uphnZi$
z?nz&&+h_UH{U;8SxptN8>eT?(fIsivy?fga{Sm*}e@NU>ei^3Dx2Qzixh#p_LkPyG
z1`*w`)?bFxfg0x|h3(RZbDXuxxOHG!p7kZPah*phV;u0SSrpV~kRuX!^crHiEDlN=
zAnfTe*REZQiXH~K9-aGmd4jK~($=RVPt%%XR4XCbzPn2pu?G}M9nw8OM={Wzxj=!&
z=)Qe$C*S}wJr?jE{f&hZoy!p5Bh{-3RNuZSgBmp)4d+?ZDmAwPPU36WRb)^zuq}YR
z(}(9zp&RtU;qz-+aBSrCA!kfGRiQDkke=<8DGgQCG;rhXi1=xQ^M(Si{~6)s6BA1E
z@@vF#M?kg}r1%~Vi+`MeP6d)puRGL20WRqD@I#5rE6VQQ!)4_bom9STs#e84Kq1X>
z`tF1RC}pl0F9LS(Surhg8K_%NrC*~^J^(`dKR&r&rur3}|pozFNt*jp%VZNZUiRduq+5F_H256!6&p3A?oIvp;R2QQ
zJg{09n4=N;aOkZu1;4GfY|C-ujpi2k^6|}&{N8`nw?mKkOlyOjA~xNO9cis^><2f
z@apE478#-QsGP@t`+$9Mg9{gIOu9@;J}+#vLVSf}%aZa9;qtL{7hhzl>-ck0jI=-q
zxLgXK#bSb!n+l26W{d6-uS?JMW+Rm!nqsa|L*0L}%HCuIfJj$dzR{)C^S3DJM6A*y|fir{8gXZ8t)
zIhKgP3^dP?DGH_jb9MLUzN>~wC@p>Lwl^Ls=kwg!myLx^;Xe)whIOXb`u?$4%|-tyH>{rmh#-+FYMGks*yFqSw+T&wbgoH0(my9U+RVhfLRJkoKg<8``_)MK
z@GPj=B;1(XIKPwYybc@bux-WLejPp1Q2GbL6ei#@+~?EpvhkO-G}v*+QJ^&=zFc{G
z{cV%W4sNZ?NqH>mHhswd0AEC;jVd!HpPCT#v=jBaH2Q<$|Eg?
zv+E9{aAlQ+?dCWC_U2)J27)|7Eg5QB)xwxfViHZpdfVW
z`l*#Wk#xnMK+l}fi53^1Y%tK)CLieJp{Iu=B+bIYa#k-1K%#N}F}m~9zH@^29*7in
zpx7QH1K@v2UZePCZr%_@-a%T4cdJQo^zxh4yU(-hNBJp6k3+Seb`zZ}vP*FLuWP>l
zo^~OczUQx^fr7I)dEANfNE7!ku}@#9M&{Yg6DS&zzlsTo!Z;%HFMI7-J!Ff*NUoN;
zaVeECC#hF$dM(<%vSu-ujmY8QNyI?A1g3vcj*8)KR6%Yf@W-DeY+c|+PZo1}X^41UQO=>vnJn(EZBThoP&Dc@z@rm{L?9GOQ8`)`IR?L>cfHf9
z=9uT`Ig1$9#%_4%o0K#$5;*%pCG9&)7L6{yf&WNIrX#rt2X&e;xr&j6-BixJD_UBT
zE!;9CKAA_iKB)B^eKKo2dcJr61V;5J<74c>HK_X~ToB9k%YgKv!}k54JQkWq&z?O)
z905{6I1#PHG3!9^pltYI+3@^<$bAL#ql$5R;t?WX8uPcb?;4ZelTC?h@~|DMY5GpE
zH?!y{09~?1T}HSn6Jq29(O1dHp!5qYtcUUkxxeTZ1i1=Ga`=OTk|!6(L>^*WIci28
z2(CkSBSe8ALR`f_RrS)q^3w;cMwO$Bnm#^0AACZa=>W6IsW*cDs4RxV_e+M1j&A^FWZ#r|m7|ueSPf13ekiIz
zFe22S1Vj~(R}u)S(bSAq6q-XDIR10$_&LDZ1b+mqPSTE`P|&)(vm50XUHyC$GXLQg
z(n$b3WIbGJ7BAvaYRj+pd1Kd0tPbQKSm+F&oS3Y6Ts+~uWl#rgLgW(IqC>*AH?Cd=
zb1;=S#x(>HwY4I^&L|odYawk)sIkq;h7kr8dPi2!aK!@W%x6FL{`G?4+Xqj~JCoUg
z*4SHaFai!T5_axyGa1V9($ispgHmrjI8OF73Lpxh1ExBZqgu9d0-OKat>%1_GSrZK
zX01pUw9ueNQ%6UKw%>EMi?%&kR1dcfbxuC?1rZ*>m>gjTpcS?b{fLsDiIjgY`uLnt
z1Sf$~f(9oB2aJr4vG3ix{-DmF!2pJIm38IRehYnM+aWH5sAMsLZL?&9-FulB?yXJV
z7L)UE=aLn>?|ax(XaNhdaBxJU%m2>>HSD4{s4{RFZJZ4vf8Rp^SUk(03W72}bv7__
zp}*KOI4orNX%G(vbxJfs1DrC@r~?KOmjRUe!21d4o3&0mVQ?V+$p!XO9$449PoT%jfUY^+>|t4_m>yA3`n^GQHAsOhq!!$9uQsli=oaD?-)u&j
zOD}RPQ&!bDrSuel+yJcC*iCuadN0yp)bUV+JdhRxyLL|A8%45sykM2rzQ3Eh)5Fi<
zqx>%G+uIjqm=ZR(er#!x$3ZP8LZ#G|@z4YI04Em_o8q&Z3%v2K$r%@+a!`CA6-ZOy
zh2F)=NkfNQH$<`OQ!Qb{x}8vDNKzylUH+Rr3tR^@bUdX)Gcqz{gJ_D|8McZ?86ucj
zOjsgfW69@8PLKy)RNWhTMd?`&zHRIT4`Q#GE+
zoSKKVj8fvj)=f~*OSA>PwXm?Tf#xW*_JZ%dAb;~Ws4O576lk_)fO=ydh`fQSnPk1?
zTaaFO831v8;`m2p2P$$)Wiv^QwoB1bEAAqPi}6J19P+Z*I>U|me))!@gXM!gFvz0!
zKh9pga%C3!kUd}Hcs4qH56cWqKmpM=+nxS&Nl8vl)!5j0gG^l#=pv^oeHLbBLcOGN
zC>~FalzJsd%ju}ruyw}{K#We|Ku)kU%c3BtBA^I_NN4SpSff8$
ztzY!^=taQZo**qPt*tAbguq|@TVpEJsJINE=keLqqPO2_v+*ri4QF63A8i8N&dTom
zg+Au^8llt$GU;G#H-IN={!%KO+y)Ni`WL+;krZ#HQb~``yu%~b@a9^M@&J3
z{hn8SPVg7|$~NnAqylI8gXfaJ7
zALOCu-~#S=s+*ac%i)B8n47}3;bL)-sy_1xPOY3`>SD&KM*rD*H~~K{Sw+R@e%%pb
zj+-~rd$_Oj+rCCL05zXBMr`?^rG2lbc9BZvSGvHtP#Ifb}S?XQlc{3_>})4v@C
zi;}2-yp{{wI969h6=ChmbrC_@{F5_OUHdz0e9(0|Yi18bD>OR!3U2k2rL-s?66GJc
z_RNJFeW3)r!EwBV3ryqF17Clet_k?WYo$hEPF173X>a;JqV+;*;oFm5YKSBWL?Ka0
zNrk|6=lUKUB4n3!?e5-+Zl!%8@|5Lwy5hF
z#=QAT9I;=FfsEp}D}|(i)F-tu5&1`L0yHs$GrpYT(><;=oAaN{?{9c5kaAzoxMO+;
ztO43ynIN3$-;VV;*v$nArbhJhu&}|u4f;Q)pF{YkA>~5QiNwk6tk1cgTc;Sr+Y+3A
z=44T|+JDRO`^=@|#qDz-|IxN^-vZ(?js9^~~jB9+xAj$sXQ4GdrjHqghvX-@QrA!J|X6q9WySp**is(wY6k8tWVV
zCG)s`C(-=(@!BuS@tNlNwkeckTAc{ALNSv5-S7vp5gFEP@5(;S{dU(oDTOph5(U`8
ziBOEEQ%1WEx55s-4_Yf1y@+>xcIS$2lu_yzogg&EVssH(?HWoTgOBQVunpz)ejQVM
z9@IR07cfed_OxZjytWVEog`k|#0xq7eGL;(Q#d_w3tjTV!nC}_Agw(>5rZ3Tn;}5)
zg$-8voz#tOvr$ceD?dnmy!wjIQnFQdnZsY
z7km8CJL4=W0ReeL#J4NDKpSh_#nL>LogBlnSeOzfu<+D=cmbtcb$+WvT5zlCxcHWM!64!6IAh?4BB0Cn{Y<_+Y=VK8DBrxvO#*Vj)^b0^4;T6?_bXB3{ij{qY
z#~A-&%yrkcr3sgzXmt{N;#RA^y_*w{+WC_x|Jj(?uG*V2^q7MP%8Rc+EVF3Bfmi)M
zAXwN2&2Y7A{(l4=|D*MkYfKyo%EZD(PqCEZktuI6O{p_^&hH=SRV^M#L+QVf>s&S2
zZ4tP=M}czu!4;zy-1{{x5#?w7QT+rjC#TZXrV&ERfax5pm4X1^Bc9>ixb%iZp*z!M9-F&sURYk#eQi8
zy)@EI#<3)o@zB!#GkMY(lCQDw473XApHCb!QFQi7&-GYWSIg-*jq+E|(IFL)3a$BZ
zYWrURGcmTAG0=EInT>RZ+!klUkxWHXTH0Fp%IAYYSveH@!LGM>&dfsdogVYIzu^G7
zIJ6aXIE)2nel&;DV*uvHsI-3^rS@JAM+CAUj%I;|k3qGI3PKRV+O5N)$lRT_rSG2zFJywJ8}!#-bS2PVm&wx-|`rXVLDnr9_^yOIaR?~%tyL2
zv9a}m5($k#TIm)0h>~m+AaW}-8Z1)0v+T#KtsrS>bWpQk0Ifsgm#F#(z>gZp{B6kV
z)WtaaLGmou2Ka7ol#R00sVLAGU(~{tk|>ChNM^_+FMq1INpDGf2}u5d!E0wzTG$7R
zM_sK(mCo-pQbE1@H#75s;kE$`w&4
zN0U&_tyF3U6IT}$DuZ0kuX@}bgKIZGr<>)~*t@VXz>HT7{a{QFTwp$+!_?_ZmoB*=
z(tSw8asU#H$ys2zpo@aG8SlYX!%@F;rzlxZ>-w>oqEOZhUqm!^N9U>=
zpqK&t2EB;Rna~LJUFz?xuYi#OC%a%-R$X?8wNKIKc>FR92&cn`u29lIF-UHjcLU1M
zCa(SGTiiuXq7w4OWxrA|cGu`H_;#!gE^c616MF%Z11r1e);6&at8|Y)k<(t$M9>T8DHx*}yC<%14a&lyWe8}Ud6W>}K
zMR;}ur~zAEUX%@W$$WQu5FASe+|`If@x>|ZLR
z|In<{o)XHRTFaE<{<*euH-t}2Y(o6^_?!!jHw3b0jUf77P~rtFd}bAl{)!;lIUyU?
zqPNOsJfh&S(|jKU&z%k39|gLl5m`nqU{fG^iS_)8_qWp8rqAZuC4gG)D2{mgeW_=l
z`fg{Gqfat0P{1PN&E(|&r)L8>qaZj=FEo3YbO|P2)jk1%`7Yib0KuV>ui~iVhR}*Zsr36f^5{!pAV1zbiR1;Laxmg^Z~fO
zn#aq!DJ@egmH_B*NHbxuI++`$EP(eu-d~!@h5qdW9W4LC+oL*}Eek8vUw5ixpPi8S
zY{GzNO&)mq|JupHfacA(u(QmpjTAwP&>Yby5-_?92lR*0O!)DVes=Y-VZJn~AI!fa
z?AvV<6o!u$4y`pjn0iog@AruOr7NhraJ9;a5;6FEQx_=TdEs?O{`CKIdq-Vp@Kk;=
zu#rxOdGIz~#6zWphkL3gCy7VZza7bl-dDR6j1kNA$`-ttRqaosc?DaCosr#0x@}I?
z(fyP$v(=XT0?Abrug|S0R8$7UvpEyHto>7wP25vfQ{!
zO-*fNw*yvCw>e^?TjN&9Z#$H_zU~6j11RxTq0`k5vZgeiP7$@!4e#bxK$
zYfG1sY+u^=<)BhmLcbh&W@Tkr_vNU>3p!^ZGdd85HNioPxp#((jl|h?N~M%UH`Keh
z!IFC*r}}Tw6)GSc2XeT{B04ZD(hJ*&^sUA{m+N41<=mG}?9VdFw&lIABIGC(iv^{q
z)9+^EOLP)nSE)wVPf@R*l2Vsd^IWZbIOMg~e)}(X1_F!}v=wM5vEQDYLBuva0Q$oeL-4fAN=rO
z0wG>J>%n}_E8I`e*`yrp%OFpJ3Xuk$1Vz&Pm~&@86w&3N&`Pz_jxlY^m)9HETobXshqBDfJqCx$$A51s06}5#^Xuv%AW3=@E0ImoDY|w>IN&itegey
zc@PzL!7PCb^m%PS#0L5w_ski#G8pqhl!jMFjA5o=q`|jAZ2ynsIJ^x6NszzfIC>e3
zK7wD(Pt?^AL0kP#J&dw|pgrHA;Xo4+gd?3wkfdG%+8MwAL-A`boZMwKGxLtb+&fQCYsik=Z~zq`QX`&tRj44@;tL`Vb=jdCodAy!
zEi|;VySO>))^SBuzv8V&X=AG^(mQ9=00^<5xopxnTB6B{D%jK_I+vyH{%wT%F|EXq
zGUkSkle+jWKXVuDO1yY(!>l!u8ImU!CJ!PbB5s1#4JHSW5lV*VZ?5*$N-mtNZ(!wFTGZ;4*cA3xWV~X`rfv%0gQ#Lk?%n{BJIQU
zK-{n_O#HEGH-D0;6pR%>~*}?|`YM?pF})yFl?Ej>)uXvxSTI@bEx*Rw1{=
zkxUSW&LPr^(Gs)9{^)6qt(_!G@)N|z2`f^TJKE9O_A`V}V
zC=l~0MU_)|`ciPjcqR8dcX}yc^I_yHV+g3OKBcflqVxOnKuf5EtPq(q0HK&7f=fZt
zo*tnjR@GXKOdcW=OHoUnze`%s7{p6qIuQnoDBn)nSLQ=n*!>xy#QWd_s!+S+E@(x&
zTn7!vuC9nfjy+t2Q7(j4IUIx`k?dq_9x}3H2`VIH6bZBkh{SXpfEV6|2$0H$i!j<{
zX!_{|;gAD=LKF^{CeKmzG36s0C*`8Hk9`MFuDPH}xH@kMlm{}J0@8EA2Sx_3*e@4V
zh!|?5Og;}pWJ++83YUt&sOj<(B8qoWr`fx*
z%CPh5OGN8?3QgPwkgOLp4c~q1OqxSj7LZ`)&yWJsDu0#VNPwrc(n8d#Mu)3pAQaKj
zEPt&i*=+RhL>3MyXilMjx58iwq>`vF>hV5^`0?Z>85x<);rRo-?e61w9B0rvEGrSFl?k^T!LpaA0jF*S8y1RO1lC^V!!1}V~h3zd)y
z(~lL4hYzXj)ZvXxcqV)w~
zOX|kL-~v!B8lRM7Of&zKPp{?`#kDF9MCjI(H#Z3~Bje^`-THIyNOyI*v$s))>7fScf3G>BU16R
z!MF8W0`u9!wEAZr)BUGmh{hyWv|O^Jx64bW<|ggWIAe0(lR5fAXwi$7soX~jZ!B}R
zB{leM_uR!&IvZ|SFDo(cFS>uaW-$vGA+l{+6_VA2?~ykWYGDCbaE888GkKUeJvzHr
z@`hj_y5-!=4B5G3MhOg1b{Aq~-qC4uY;qZ-g`f495V!}(|vY@8#dQ){X?4@=0e
zzHepK@+*5BhVja$8xA)0j@-PwYJF?K)DIUIM=OIUWxUJNp-T&jNKl_?%>gD+2k4#b
z@#`9<2gvcF_4W0)H?9{|NcAHh&GH$J_D68uEn97{eZz^vnQ~a{dcrN`WgIEJwl&8DwPH
z@`Z_!!^Ks}aLImD6G~DN4&y_jC`01EX4
z_St}xclp!`@WfQ^-|&tWV1)sTLyqP2dH3X#9_R}yzw@)TK3O!GXE$o
zz>VrQ0oZ|zGM0k|6Pb+!A?XN^9$AV>c|lZIS@Nfb)!Aj_2+A^WA
zwuTYd-6rb8R79QKV|p9vm{I$h`iPs!uZ~4JGAKtp8-1H_CmGR}KYOE^Nq
ztQMx2X;W@9GM<44?m|yA*?UvR3p!TXbyz;6(OhI=TZHVvZskCgJBAT
z{0QbIxIm?L+KBNY+`>75YPh4QNR*eChf?q4se(yb{YTALhbru@qaJMk`TqIqS6gLa
zXk5Ln3_5?!AI33F0o#-dQNGvbh>VUl0j#?X9l9sbi{X#oPVrn4^zZ~JmG(Q!i*oYv
zc16V@3z1WRYu-tUiEf>pL`(ougu6rXYKN6x|xT
zX%v%iX{)5RmJ%9JO(6Dt3+2HTQqoq!`w8uV&|9Mu7S`jK%vPe7o@epq{BoN?B7v}*
zgXU-rUsiEB;;cNK@*h``#H(I%BzzXI*e7k%jnKz<1Qyl!fJ=e||KY=j4(-Lj_V=Lfn#T^7<+=p^elX^!5X*%piUmRfnwy!5<3M_UhY`S*C@sV1
znuWTw92`a8$>gNq_Op3?uGhG7^wFqYC9Rkkl|PL{dUq;l3Wus)S^efYX91Rve5(M-
zYzed^ceVgwUqgV=YP$_3PJu3HH^P?rOPl`PG-hMdoR%sZ<=HM?rc{giL$w
zByWO)b4tP?Y=?akeen^dQ7I7=jUuqJe2&Jfz77Kv;>qqjY!-uu0dBUv%ihcSDhe^YHeaU&O>bxQDv4S7}vV<1
zq~+ugfQbJe5GB4&P9}m+hGO=ig@x(&#sC5AIunHG!QBg0Veny)T*aY(_y=aSA0XOs
zFbBEJyFhk1f~grp;U)mHtVxPDF63S>^2E5_8tvD|uX`Q8MY}3>We;A6lJH6YejmUx
z9tt>e!nrXZh>4Ly0ZB5U@80NSSEf8!PQP_*ySW$4&1{2oJUl9jo;ZLJ*`|;zQ1bqO
zua@|LBq`N8@PL3?oFHn}MM(egxa(?geqe~pK2Vggw;c=%cSII$($eC=!QNh~-&?}=
zJIs3XlAkBPZJ$`Hcqd~XYyG*dV0mhgk_&G{VOCe*DN8nSDdolH;l;h1
zs1Np)P18<03X#dhKzL~bjR!gc|7$$veM08kaa=IMs}D&|Ik)jP*FW}^Q-G0IJiNYr
zcp|H$r1h?Sm*~4nyalCD5=X(7pf>CuOO%|CV%40eiCTWY>#HDoQiJv%e*QF48Taeb
ze{Bqmx?1!0J9M8vEt&3qnU%nQ-+^gMCOcmzLjs1teH_Nu2rnaHa;FL3k|(^YKk&zW
zhG4fz>Pz@nUw1W8{F4)$bL&xYY0lt+cl3&adq^6&3)D!8$s%**GnN_}S7B7?S!=5t
znw~y@|04Vs3LZ&6&G*}ZeAYqCXrr=i=uY)WZ0Lu?$f=B}9AZ=E8U7>StNAa7;LodI7*S72y$L`hEgYLOj(F)g)$!zS!)gjp(B)&;Wxllojy{Hy_!Ons7(Wd9+-vNBY
zb^Kof*6*0dmU=OY1~Y9|c^dtinb~7AEzw4)Gs-_*Jg_R)UD;hIK8ZS93G=04XTL87
zM+mj^Z8&68s7kd<9}*&s(_KS
zKcADAXMIKT+kJ)zkv@^gy{Vmmkalym^@&d{EluWSU+M;Q&2A9D2a79Ns=t|Y{w?26Q>>M*hUXgU;(WOdECyd7Qq+}0)uQEnk}xYmOQ
z^$jF8#Jjai_`wYsS$o>1vg;&Z-YRQ7eOev%^DCF7@2dDv2T4HptA`?v{)Vs#X{s8a#mmOK>DXdq%>q|zfJC05jvAI3UgM?|PCxWjcI-}X>m
z#1!IKrEf?!uql7w5W@rlUb;CWej
z`KAm^1jMzB)CEWZH-&{qXC4)5hUOPlpVcyO)sQVAKYtq9It&>?$Brl^WuJHwUit6M
zg!FRizmJ0rl*OXxk1rnnNsDd9XZpKm@NY94hrd*K)2aC9@IsSl#q6hw+2^WjX$W3-
z99$h&bm!;zrBUw=|3o#CY4pV@J2HqFSWy!oaXZ=#Y={a
zg@VUyRADs@EovB{e1nNix1^<(ua>-lqS4CFu)Z$UXT$80Otv&h@=_QiZ{rrhueEiKl50O*iMsbYi3fYBiqAUbhUa58!F-MlL%1l8cZ*l9U`5
z{+&N@89mnJA@tX!!<58WqF6xCD6E4|lYw>+s4^8g5?bd_nb6GdzlcGFP+S;Wo|mkv
z+{o;Wo3<;|TqtY*1OgerQpw8`?hKO$1{U5Pd)J+<${mwN2j*Oq`EZ`HQhg)}eyZ9U
zH~MLP4d~EXiwD1^gtQf{yRqu0esH|?ELK1^`2IaJGy24iZw+J78N8?yQYum^Dvy$;
zz;GeP`1f0DpvAs0qhwE_1dZl3R|;85~8%tBiFR3h!Wxa8y_S+8(a
z&Z;T5OMxHHF4g`c=XhsTlstqz53J91Mw2`+4`wwYi^
zwYe19#**rkLVNe`ubTPGw0ZFB?_LqSAP$ejqB6NklL_quPuYlBn9v}WXH8JUWV{r2
zcg+3gv)bjFR+fj&sz^pL^j@wp&CPP?~;l!5FVR%nx7a8YYW+Qlvvm(n$TA;
zirC_&_IWUDCJN*OFthdnshdXkl;vgL2TM931|L47mB_(h7~J@4{Kp5@5$e+6lDImF
z=fOE~Cdm6IFr_s|)i*pp?H8@3apy91;H^I#WW1hktqo_RqPi#r3H~&Z!Nv^f&=Ynh
zGk+Z0FI%mjIeT`+9=^Tbn&jf`
zPs&V53(`MH^vqpxh=DcaMWpx&?Rq99n`^2x+5|Lz=F@vyD(OkC@lX3zMX4uNPxqaB
zaw8Xy(gd;Oft_Mc9<0e0kdo3Y)zQD*s<~2;UxbH$Sa|uO%6iEe@V?x#8*!KAQ+qVF
zww14=A5Q38ivG!{&jFvC8@0clA&4ai6Nou{qQpIW>>nHYC+UakkRbboaFeX8?9*&KA`{Q-PuH2)&GUN`
z|1;;?tu~(Zl7!NDc3lEu936uMbCx9$_4%T)@Ncb%z5aPMe1plk>O^$@C22|`r;fXH
zXMdLp+)Qq@{J!RHQAboH~(^ta@in~t=Q07BPJTw=Di#(^>;*`+N2fca_0?Zb`pTA}G~QOItit)(M~udi7nLp0DXJPm0ia
zwe!bFQ;W*%`LXMPVBooJeb(WrMEjfEikWvAllV_SisNj$q)?8<8b*+WWpnG&UG#bA(6R}6pGA5hLnV)67fhxl8_;@q@pBKAw!X=A~H|=xV`W1
z|6AYQYk&J&`&sXL*Qz|8`?>Gyy3X@F&f_@F{4-paPlt(fLNUjpn80-EgNJn=H-VM_
z4^sX6D!%49?$s_IUJKvOmSQ3Azk>8nsvIZpvQ?3|>fCA5m_yvLiIG)}C4
zF?W;|OZHye^4<62Q`75n7hVr^}hx#n>VFjm?b9=XmWkDkCJQw(iNReb8i-G%?u!czuA*nYU(NbCmTY%IHKL
zhD8o5)!UyBy>riW`i}P65qbYBDHf69n%cOnahuzzShgJ8&ST5(y;^P`bM?&7e9Jte
z_MPR6ysvgTtv{bFtTuXRm$gP8PLJ8QpGL-3ALb)^J}KDWN-?y$uNz#HWkD&`zxE{!
zdW=JP4wttKJvO{?J?xgqqXNwqOaBlTM`<}#AB)ml-_^zuCA$ZAt6#O#L2NP2wt^#p
zyIQo!-=AODk&^6epF@L?03
z$y0l7uNivNt#W%_wEk2`Sp7byT8;6&*gj2;YftrMY~5<7$nSo#cFfti;e5ON{fQXy
zosU~sl=oTZzYE(xK9N_;@}Y@owPx93s(44C%O-HC0|4#O1Kg?JGg=Z<%kRxdvx>0-
z&9;<{RvV?`*1|+Y=xOPc`NKz#s*Z0@2GRiwf>ltjTcj;Omrk3YANu_Hc0Ls!ZghOq
z;U{tP&Ydu_hD876&zIZPy%nfHB7kQIpm`ho_P9DyH_}FixqNBPF<~4(by+{H8lD_f
z1ggMb{j?Z=bRNaxCU>QsNdFZQG~m0(Z$W_{E^QZwo7Z5)g3;^m7`uq1QU>&L@-MYh
zSb?0s0`?n$R#dsu&#qEl|Jge0k69MGxFfX59|1yM0}x~6)}&iG&-lzvxuyMBY3Y|=
zi>$UXRMAhZa=ZGjjMcb5;mS~Vw#LN7qk9ScsWN^G{EUuA2E
zZ=2%x>|?#oElUk#@HPA)Yn+)w+|@A~$_5k)?x{rnsK
z7T%vZ`oKN*N7;E2bV0{904eG^kaB{ndjm!~Pr2(vkGfo
zAu)AGGQ7IxjlRsR)Wk*YwGX!_P?Z>%tZ52o7Q9p1pqlZufOl@4^;R-^;AqH;Ek4HW
z*>}n3`-wk=Url+>DY#P4-=R$v_W;Ien>*|G8_j>EKd;zXufHjW%^i>G(#$5nU^np0
zQC(_qXptBFC3khC(l|Y>z@}Z~TDi_6&w!R5ix%t2+zsTuB6?uePy?RTaP!dToK0jW
zw{Kvey4P8aLkoGDEnsDtyLxwE#D`9v+~2oW810H9O^e$P!2ou%3D0?XXZZXxaG
z6kw6K9-s)9{sWbDh8#jVY@n=D5guqi{Q*IVf<7I<#$c%3>@7j4*v
zGi05$z?KA_b)pp=NZK4|a@={jYZxunU??`|&9gWGVrI8}r(BbUM@C5ioF1~>y#Eef
zj@^2M0xusHS}N=?5>4vz8j&I@P+^TU-&OHde0^i%HK3z=QyKxZdY+zyFDMmZR^s83
z;Pt!DGF_)6%#LS8
zGMbNNKY79k0|{#4Y*)#KOPwyOfr1LrQ|FmW!OS8MCLYOvn1yOK41c%io=Lfk;*E}*
zmTFtU`-)u&d)~}H|7(7Bw0%QCnz(9j{*O166~UUU_rC92e?C5p*l*>B8zp{LbInZQ
z6D6CX2lbry$7K0#i}S%YOlVb6kCVMl09c+pM9Bx%4R0XIDcLMS`l%5WprYC2m<6hI
z1H)w?W>8;i+(;D?{`wncd;R%GegO?zZOHLw=6huI>Az(%KOQXo6(cIZ^6T^M_L*2m
z^n~!9Q$u@@ZWUu*_WMnSrLz-ik?{7S7N0m;*(>oYt!57@&4W}S^d
z+CeI;Tg!7-uchfNx?NBS)C+Lf&VY?u7LH2peZ_l1*L!HG)#oohz01>a2i&GvH<
z@^7_LuguM~?pivHJU)F58+*`*i3Huz8)4$@ONWg@qV^pUEO;j|ntOn)OI-4GOK9Y#
zhTiLT7m?;UX$wrSdTpzVEaKRW`lb;54w~B|okcqUqHkg`v;pCagi3!GerI}OUCs}`
z$FPYs$O1Eb^R)!pO0g7|kbk~F&sG{k_P(E9h85eRP1l|Z
z{lFR)lD>hBm_D_2Z~9X5T!(#rZ)3?07GFJ4=lb6jeKBdfn+R6J9h_-K$&rmL&+hMK
z`M4|0Ra4jN+f^|iX`a3*bnRD3vg;tg)xhu178nb-DJ8HKgJ_-?()viS{(7LtvKpDS
zc=I}e@xt^|+5m_|deA`(thA{>ThY+KKycfB5goRlem^Fi!cOOpT+6QQQf?bYbIsT>
zS?s)OZKOclNRc=HOZH^lHIsj`&M!1p(2C=m6!sZ~Jzfem|Ge6o?rkj}pJua6pn0IK
zwX){^)HuP@ckeld?YgGh6TQ$~ebD6O*8a&fpg86M9}jb{nRCUE6Z_kqsay@+9naEgFL^!b@t@vCH7)
zSLtk)#Hc8t(e7uqG(-<}P!;-~SHQD+vzCoY4Vt{bBZoJc{|Xt7J|Im+Jh6Pa^Pv~)
zHfe|_U~)HlsQdbi@cPT4)M%#FG2d8U(8+XU}!W6HWB8fuJ
zh+UyF$tnOs5_#F!$M&!7P9UBhxL#{7#aqjFt$6_r7k;?XcmQaZg$ouVj~soB*rC^8
zzPTVwYVRpYLT8py&5c?2e4@vr4|U*LOvPP@l_qGYAz!pOZu7PGbc66|+x(fH)*8|^nHU0&&ZzCD*0Zp$-%k@fhGvpu>g-)DK
zgag~zfsQiYJ?Os(GM9q&OCokh*7(C8!6Eii_KT&@_K~&_0=l|pp>F{Q^c4hHqdWAc
z1C?NP$^>fh{DM+;bdYp^gWi|
z)@#gi-r?oYBvl;?tKm=H+cxU4BE7%a(+J|bQM9uK1J|+$Lo3n|BnO9PloDfOgRvQ!
zM{+>$q>5CT6IYq(2~w<0^qV`w$Ssr9S_X$yJ6Lj%=xvEK=Okc9d)VAqb--6wm{Za$
z02&`VTpXH(K%U8GcdoE^m4DplB==2DXjm(FPf5bND-14Bvy#*3pR~>S0_jvh+mmFi
zKu7f2apNWRJ!W{=>#nMP`n-bPQ5@7AdYH4E@^}~z$k0jdBQwb*bdtG2`>g@RAp%K>
zdX_0L_zh&NEc4mz4vRI%WZpv{i*ECq|Fw&3CjmVKj#mxym}_JLOtM)Tij&eMDcem3Wex&!utJ7M20^V<9FF!Vrlsb=>OCL65fC#_J
z@&&vF&5%doiLn^*#vRjrvE}oBxB#wefX}iSf3bNg)m+<_g&@noo+PWD*`l7ZW~tZs
zv4i5Wm%h!&W-^(`YO`M_O0T|uVDf&RSz1#|_}6Wb%k}C`J6NWNT?QUB4PSiQ;gGK=
zIX&tVn1AvQOKNr#SCH9-^QD$)=2=grPsz|u{yHY}*F;{!TEq7o1HVp;!SImO3$KC=
zdU}cpPfgEizKQsFO)ZGWmm6tGVf)6G`8H0A{4J2^mMqB8&9k2
z26%0@ysn+n_C0yCNs!ZF7TRp5RT^jq9jnP=(g|Gbe59KiSeEGI^}X!&M0RzL^Scg-
z*o-dF`*pHIy?>O1baogFDnC7((l~Rr$wo%J^$~#IjDzQ?mAic#9UM)08S~%UT$#Ic
zfTK<>FrfT}!{zvBHrc-)WwA*WXj=M?|mH0>b3aDe?F8&vhX
zCRmqRDIJNve(Ei!@sZaqk7~f`R8R=zk+J~`!2iN
zBrsvvWYo)+Q(U6Hw8)i9_wvckzuN~>xYw_|!SFPgjwu_dS+(e~)eJwrxF=P(&|_F)
zVkSJg$0qlChDPmJ{oUM~6mH&sKOt%tKF-iUzkMUO{{jcYef{iOYh{b;yBMx*;#-gB
zt;1$aH!EKr$D#4eoWjMt@~$m6aJ>xg4g}YTyA>_m_AE=HUoS07;=}US4US$eWRBB#
zdCuhhhwjMAycv_z?xWYOY*xPMLvh>#aq*F@5;V6TvuT~(9>0lY9jjqAz5AYTDn4Ap
z-H~m|Cv&T2W+hHfk6u+j{?D7_$TtbDsW_Up-1Xob9s2yj;hVp44!SsMBc3tXbL4Ub<
zzqMxCz-fKIDcs+Eg@qZorU+3=(y=&hfoFQr<`JrQu9HdLY?Nk&)sx%)>9$us
zed>7^E8Doz5om5EpW|N7bS;Tb@=Gz&xfZFL^lO$)!>SH`Gq+!dli=tL>*1BHBkxvk
z%wlL@enxKQp@#Rdq?Xp*k2q=T&$UorO5MCqXglS{UVAp7``#_Bn_ZrM4RNL0@x(GU
zFxU6wOb`%AEZb+_j{9nI<{ya
z$@pZ)-Rfh$cukh+hs9=1l`xqc%bhI4r7styU5}T05F&?rhE!LURJw~jGoIvCE0&uH
zHqrj0XXIpNbvROJUv3=Uk(R7-fhVI$EM?;j%B$v!X6N~6biOYxZ#&g??%BHcH=K=E
z9u5c7PavHK(x2QcFzK(9a^I`@KF%~V*nH!{H}yb+Cefyz6Dm4;S&|x0m+(7^?`2U}
z%+@|U;hNpz;8^oJ@}0fDb!D%?Uvo6$+D1Nl=RG#ftae>KuIyF)<%M!yw?EC#POH*w
zvKyYVwrLEv(u4?(9#$w6*imZ5tP@S)42_@P%|3kL(1@&)uEG+3p4FohE4NBffIW#L
zm$uP9mL+Oyh@2axZ~U{nrYu{y33>WbWLPep(_^81RqHLVIje0XxosqtKASUEw?Fs2
zn!2u<XHwGwv!h}N{ShILWXXd=_?k0L~XD)S_D+5mfeZBZ?DSz!U(ekn_Ddnmyjh@
zRYfN`l5{(1X(qzJ(2y$rJ!g`(eC5fYJ(m3!iwvyHxQ+6bL_|c?vP@I*^4ysh*&=HJ
zhNKu&?(}UmF|J5ZXV;Pyc3MSg8;Jt>2e4RJM9+be=4Rt`&W_qMv|QyxioAKg*#=S=9R=M5ZY_t*ghpS-%}YWn@1JKAjxXu_h`
zj!bn$Y|^rBZQrIN{Zn~DNdNY^s=_ksiieKtQ|ZYAkSA`_&X*;=Z}>a8tgwc1ZhZYF
z?!JavBtd^E`O&Gip;Wi%2Z<7A%fG+Wh}4oOOr32x|IeXI^``lZi@&*UUNza9Fh){N;TEKo{-j2E
zbw!z#l`cCkj{};3ibJZ4SE8fYj-NQu3&p`}*khtQs-e=2T7d+5=A_8E2gf{mgTq_N
zZdEuPXiA5lW?X104{uT4-tt-|TV^ZKE^@@9Bk2ysaKlZ`OG4rG^E9`eHgq3oe31}+
z#h){_r$4u5yi6;&=9x}KwbUmY<6zZZB>xB7z{in+J}AuY{d^{gEy6U{?4`RDkkZwq
zRsx@Pi|Pc{^)Hv+>ib?-9Mb&X&yO}ssE8u=v%Wcyk;k@uRAP<42FGEqf}+*k8}IcN
z=$W<)*nT>JT%0FBq5v$8K!L(I(%A9PMd%I79tC`Lz^r
zJD9<7?{Sy>>!l2NL=XtWOyD9`f%g;!u6)bL0$D(jRP;Z^}dJ3Bz*DSvBebGV9%L7hRSOK8QLuW?p)<|pQcn%rz@LHZt$+l>erKt
z*nq`$zjO#rF1p{3OG*kkPDc6fLK7ffM8_=OVLf33Pf@oUwQx>VmcdjQ?#9pL(RptN
z$Rb-}^`rfTpZPHwmOiGHmp(HMG-Yg^r*(GgC3}xJF5Biu678m!o31K_?y%YYQp7g0
z<@6U#C;TvX{C{A`J4-k*)Nah9ZZ5okWE9Pv8;wOF1Yae_&Q@351s0^oKTw_X^f
z1IUYN?(RD=jbn{a1>e4PkJl0u@v5^^2?0?eThb>yzGo&1(od?S#l_IIoa|{5=Z>M~
z(U2UdWr?`sQ}dDgcLVf;L+~8dwTv8C{B!987)N5l8QaKY=EIp(!%Zex+AaaHt}TH9
zPrWR!P!OmdQNY?%I~d)>o6<;6AX5YpLxnxHj8F06{w`^8akagBslW}}LsBE)PJUT`
zV1DwkklR6g9Gw5Ib^Ubr5Xo{TLothi5#{?46ySK>Z!&P(l5
z+(PwM$j=6h7+8=Rrv?1=Ds9-FxaN={N05F1#F4!)cp%H7sQdRB_p*TYkpul;2~=t%
zl#i-#(9LZ&q&an!>t~_$54^3D4K?;VvVQeQe|z*}5zP&mEznZ?nMfB4WE(Y0dIG|5&ebc86ic-_FE!r
z^wXAE1rm)VVi!Du*rM@SA8Sr_5OM&SxR%gV)-^%
zq7RzdmE}FGte!IT)UYlHEt)-*^W-7phYRQFO{kqO7zr6sKElWCT&l0I?4j
zZR8b30TS3VKg*928gw@lBSjzLc6!Ah^i#^r$mn4d>H^P`E=5Gxh-v;KJ8Oa%T1+K7
zv&PipO~=d53_bS9wRGI9ik_|5bf?d$hQ!G)TStNa69FKkZfSRic8`jvsaZ;MF)TiJ
z*hV?4^6K)#q`zD#C5JB3i!W4O=~mSXtmAtfsmbH?{>ANyP;eKu){^`nl|d!b5;^A&
zhzAUUkh)v#2masSco&|uG=y~df~!`C3Jk^hG(<*rx=UvUG(8ZlI`OA0JipW+XrY09
z_(@(ChivLeDt_76wQrHpYOPgmB#DvoH0Ax}*ZM8C)sAO@y={LXWuv|x8!Z($$FzhG
zTw&dASV(d{u_$07WKMq+tZ9D_jU0Ps@{_8rkHrV~&Ps1O#*YX7r^!^gXLe>vN=0v4p*%K{IWRWQ&*N<%}y13(tW@L=2g9qsNOITqjT
zH!lT{H)8jNAInFM-5^>oAVw3Iv~=7;K>pjy!l~4jUUl{RO5|(z;%YRXQ&7
z14Co92-zn>yohaZf9W<7LI%Gt-8YMK)bcz9=B(20D;K(wzgq5}vagx(qV7x1`366)
zbMwXG``A0YCWnI|TZH0iJ;_FQaglxg{JD(XD|*n6mHJw`V`5@*JpS1A{rF)A;DrRe
zpO|h%=j3DVsY8qaC6NY%3N|17Cjao9JdVdRq`tIc?jJ9P5ZoUi_0oXMg{&{5JAkqqcFJ=&#dPY4EG0r8&_9@g@
zsGse?MY~N14Pm`39%M!*9DX!VTfOe5u88&7nybqqG(_H2;r6fQ4Ea&YSo~r4Xi$Zb
zKS#NfcF^^0heYX{K9DpGcU1i^e766OikhOW@5&%P-$LkQEPXv;nrxTN&z6>r>%fa4
z422?AuiXb%`EgUxDl5wE>8ngsr&`65eBxNM_Qh(Pu-W_%$L`!y)lFeO?v{_JTX{6{M$*?SOc%np0m4at;YRJEqR%O-n)9Aqh~p7UW++pTGD
zAH7j^c3Z#~s{ppT-mp9!P0e>`;GjjeKboFnvEd4Posm#`CVLV^qvFqrEjW8!7JOB5G0}DEFN9*=n`}j5%>dl*%E;
ztWQ9+4w#45;oj*#;$Kc)x!BcwKbrp5xn19WhIrI;7!Qf$l_gXEdL65-P_Q|=U9dN>
zU5FG{6J(Z3_IAtr
z)Aa5JlK%Sy;MI`&`ubJ12Il4v`I`2?4Mtr@XAQQVGx`+vFexy|)L4F4=<;2g)Y|yf
z)jv=bAUy(J+2M}9d7jXibT+N>{N3?x#{EBSgM~C^g@!^H#RQ3)M6A^n>4>!gc;pjq
zsau$?wdb!Qjyn|P(Sb;wHnX(`{#E_Iz-qoAeJm3~z?P0%X1*6Kq9sSxH&4Q8Di>8PJ=FwmuWXK%!IK|T
zEUtL@v0>Szc~D=3%4FOf{vb5BM`2=KvWS5-yTqx?4Gk~jnA*#sg`;eheeI24tL$0`
zP{yFz?nOc40V#kivTv^he|Xvy0z2k0LG{J4;lp^3*T|lCpEDnGTo_1}Lh_|32I4BK2cb&50Tu{BfKp)Kc;nD{CIJ=6^UJ-=
z{^^%qf)7drAW3+TnNe`gvQ)PRt`Ng5uSv>2r2f=mhY~fxHil66GEQ&sgmO&}wK~5N
z(J{&zqWcgBW;U|qpQ*H3sYZJtVDS1dH&$}VA-~x0)k9MLqn==v7nosscmJzlPydn{
z4knO%xwyL8!Id8`pS-JB#oI7)_D$)!)I=kvxjp{&9x8{OY2`n99p61}y4fpX;Bd^K
z`bbniivr#0pgvC#wL@QmM%)f)9t@Q~bgiW2D$6hV(FD;o;)^W-;WUbQrA2(j7yV}U
zYCe<;t){|%r|y*7+!lFkx^EZdwfY}gQrCGM4HGg@N@Y%c;2XSH{H#VKTo`Q#
zl?MYy3!Q~Pui*KcPg`vxQvuxD>qE$Po``W}N5&5i23m*yR9a@4u9jy$r=i2d+ergt
zF>HVQAO5RW3Hk%M2OD<#@xD9$SZ8cxa?Z>8l=$SgC-NG1*R2ZrHvK|&DI&_hU4*Os
zkhs>D>{T2C_XMv7BvBhlXREskY&BN=u>8e9N?txY$Z3X-%23bc3+;WYc!RC8M@I@l
zb8cX}>3M1kt^Beoxjg%^HZd_p1bq+0baILkSv%ZObjxVtk0zyhWB5AM>Az#$>ZA&q
zUs_J@VuV`c)P{yWig@^5F*Vqjk5$kxlOiYh?u7`_lO&?&C)Sd~8-KRvuZ3CMliX-;
z1$!J>g9c|rAO0;szKEo2y|Ln&$25|SOj}PLA96EmemZxpns(dh#<29EjL%L1b>IAt
zhvgoNct@isa_rTRCN}&2-QoXy-qQT&cMK+2MJS<<<^fsM7@Yr;Eeg(o5i&nLT1y(X
zJ9gC}qY;*s&FT789NIY-f2p}YAZYc-_BY`r
zDGOm1JW%G9NcbzWWq4Xq9T*+j##LR)D%?B~+GTO@$81%;#+hZhHdfbUASZvfqa7Oe
zjkT}1Dy^Ch7_R6ircXEZySAJ;jD3*SRCzKNUd%(4yqk)#UX9@PN9
zaS&CDy{?mLWQ#5#>Xx{;6j0@w$9zAn=r!;J!xM7Lu4~(89d{LB^SKP-1=>9@xs1j1
zCx~hX?Y~`XbqL<`OH{{5vt2IU(d*^zgb#{N4*BNb4?)IL!`7M@NjmfnDdwAJEljW1
zRc_e%%l#!~+BCb3RJ|;(7AM&;!VdK!`8wfRM(0Do%)4-pjA>cd2dvFC5*NnKjQ@+rU
zxwv^Sa!QEu;{+nw_`81mFttJHD)7pb0#VG68cC8jfQfkM6*;y@ZQWW8N6#x%G^;8=
zC&Z2N_;L3XAWqhc^Jrn#V6gG7WA0y0fQ*H9WhD$Af-o6}24xr3$bsl9U?WnYg}e`a
zotsG6VNuu%8R3&7p&YqiuA^Vd>_6A^;A63yBgy+4XcAHE0V|Mn5-n47iu0ih{=w=}Ve){3`N9;RNxl2;|WZ@}CYF#57
zF56Mms#%kA*PrOi>NBYp=Be+HZV9y6rqf>fsY?m
zS{39z4KhA6V~VA=S9x;7MASC*KZ-vWC`b>HB@K$RKCQ$5OI29js+4f<|FtaSEP<`=
z|D!AfdkWuY%lsqCyOEvp)BA0x{gm%&KsP)Cfb`Nuog@9C^0y39Y`2mGd1#Um+!iB$q@l+CPvuGIG(k
z<*N8%;^N{r8!q%zP<3Ji@A#jN^W~)(
zK+FAnE3A^RyQ(0Yrb+UW8zK3+P}M8&G0pOmp9KXL4T0KmPVXI?yteH|YJoFI)jY6N
z$nqK0w4j(+TI(MWN3fu(9W4zxN}qa3>#%{s7Yv2`?AZeBMlc|6e?xwSBH_fAd-v%0
zW8`HgOZT+I5hB)hd+oMuy|J`oT{L}qgs|d*^%~j;jzSey!#ikI*dp~DzsIjOncj-A
zwml?K6ce>UQ_XQ3FI1*)9G
zB&P{}0_I61sRb5r%p`de3`$by4sL*!^gxlpIC(#DfV?Sp%r_?~D5&yD)i=#%HJ-9=
zj{k509)P_=sOjo5z@xzERJdwTWdNz`1}m--Sam45%YbH+n$_+JHhIoT{ea(KkwzOY
zZcfEXWHsFuI#4v6^1suBX;>{P1A8UK`T*p1p6|L28b*~vzAz3Hl93D)<727!CHlb8
z7KvE0lY;ez)!N;u_S#8cza0LK@MCn>#egx`759|CE3M(7o?a%Y3ky(ttOO~7beIyjIqS}M2vJM*>#BP`ygk9F1cY`
zGeWDBJqh&UEP0)01&fo7H~Su2K%BH0bWOPI(OHV^*~1IYid7^md`QhQ>A|3h3Xmt*)bmI*3fkG^U#YB>x3M$;#ZstK)6ZFq2Aw#}izRq8(A9|09NF@lHc6lGoBs2&J|~ORy*XsQw2*G|G_*fk-hnS>4!Cj
z_D4qflW@PL+bx>f{K#*O7v*(*_h0wPEorn3uQDytJ-PhK|Ta!^5wH#xxIF9zFWr-Sh4!i9g}R;Rdc@EQmAnPUR=EOt<2e
zu1oT|eB#pikGSz~PIRv2o^?g^M-uU%wjPL3*WBcJSqb5iav8S6S#f;)X{TI8IRMC^e9{)bR`etp8)`8QthpxCU
zXwq*w7v`?;@3*OdZ;{w}Wpl
zU8SUST?m-_gz>i|yIgHjz)3`G)nzqFNwF8P1kE>t8Z<&_&U
z_2G`a-gv3g@Km{o4w<@_EsP)d*-^ku5vKqFE(9CY1>t-mpTyz9?%g8EYS0sm-<%-r
z3t$kTQnw9ke;fk&Q{>?ILevj`P-0f~I@`dE<&J`jT|)74LsvrWF2f)G#IoKezJp!`
zYEdZ$?|eB@6W@rYR%Gx6O7dr>Cs9|ubG?>16B8Ux|Kw*c<@r`=N&vm&lQ7r9{nt{(
zLxYXf^bZ`^QW`H;TR$3kFE3dqJ}+kTt%mu@;ku#v38jgIyASW2PfS5AlAfMk0iN0D
z^F?^TFTkJ&uBGe*vGvH)SKzEVmWHS<^fKr3i;astpC&e9)V=S^J6E}dDe?M{fskGy
zkftLntzN%={hK#$NS-Sht3uCT{tD;yuX95<10#wz$E-mNu7SHAJQQxAn8%FFO~5!&
z^N=;Nrs1vcpH{LHp7+odU&rlgG1q=e1<55WXFLc
z@WF$m29nl$^vulJdps!d*MBOjk7k)6pTlNN~W4-(eidGdo7mo3ldreAg*1u1`m&F<58QK)eFt7Lc$&(ad
zF{DcbW`*s6^9U(P2AfR_q$=cC19<~0GTx|iBZ*iKxc`t`c`|*QLHF4ihX+2CoSe%o
z@4!L&XtmtCiF$qpR`x+Sq4_*v~BWn<($+hrISOdm`yB?whiEEQU6M`oP
z1{*3|`pqZDvkoyg1n#P^5T@dWH4faJq-vc69XPBuP%ncf`3;_~q-xn2)_5s6Qd}Qk
zb(Yw`C+L}Z)?i!qgK9pF#>PgJq_5czDP0D?;8>~GdNdp2`tQHc=?-1TyDH!Om-CZn
z&sfOx40O1HE_Gw$TZ?9h*<8b(qlg_7y6Og^ion|4OJ`X6t2m-OD7J_Z%8&KiC
z{^hONeCN0TwSWJ+^(2H2GeCxSb#<)l>_K3Al5HID+N+>+a99Mo+I>@G4OR*jk#@ly
z2K)2Nv~TmbKg4z=74-^>0_0G(4Ql;yjx8|{TI`Eq;YJXoj9rwx?(yq4FXa!%b@Fx7
zsbkFqVl820GjhX?Q&N`2&9+)O?PKxO_z*~h@)|~AC+(Pa0`?i_&LRcw_Fq;8#k8sC
zLZYG@17?wiUB9lWr+2;S4$-U_orL^s1ugnJ(w1E*i@+9j>fzX%4C{OH6PAKFB&FXZ
z0=%ZgANKQ8Ap|8P-u3H_Vr$VFwCu=DhMa+cL`I)9#dZb-L8u(J&D#BoHrmBR5019y
zugFt2G3uOSa6m6J4Ix>Xta1a7IeqgN_9O^XZobq(K&P##iJiFgCHnpc+EuHl(~sT#
z3baY@R&h#6N$1jeZ4?{{x6gE!DHA;?Zjj@q%Tkq~)D4TI)!dj1pO!sIki@;D?78C;P50A*l=Of*t?>W;69QHQhVk-(s!KbWb}
z(C-rS_V|O%6j~_*(|GjAO^E?AW3nSogSp9j@*=
zpsQ=M{cdN5n6a_i@(6VAd#|pZPLqZslYvC6xP(M>*84f5xZCQBBQM0m`AeBfv{D)c
z#l`6{ijzgl@b*r;|7XXlpvsgHMrP(vb;DUNxR3o9`O1Z4+tAc>6$q$~@#I2o{)@d}
z3C&z-=tt!GL-}x15ZTtTdKtA++=Ta!A3vxGJ9~THi%&^89x*mn&HOTUzllUFH%$A0
zB$|K!3@DZ$Fkdz!e;r6|O+&}{k#0}*{!Mf>ITZcStH5*9fgmPk&ZVUw^o^+iOADbK#ngC|?lm{?igZk3c|
z#H~kYLjpZjv@`R-fde!IKzZd!mBC&|k2iR`%
z{Nv&ZMLH>;F6A#qyPy8Ik>PAp%cN44Rkf8nc@s4+#*AO1P0s=$Bz4?HL{qci1+W%a
zg^&pg&Y*&Z^`3aUq}elq^BNsSri9(N@zn4VPUjWa48A?)4S&#qpdoO!518s<{^sYG
zm$t#|?Ps;+S_Xz^UXu@9eoGePwf(l+okZk9Mcmm@`W4oe&arJ90WH;KHe7
zi)F)>*$df%&LgYD85Zo9_U&HNGN9>p!Oxi7E5gN|Gd`>j0|PU(_!QlL4p#3+u^}hN
zL1HT~ym{ug=!K%DtJgzMj}e0>zvsa(1c3|8X6cS?5)xH^zSmL}s$MSxlLdS)XD_|%
zHhcK&pKhcCTR6e)Sd~9;Dt?>ePv$r8u8dcCa{JBiF|&|+GW}H5@YrnXaNL0bU(VGl
z&%$$G5L?nISh33fDRGkBL@1ym#lbL;pr>W1X=TNKTiVj0yX|99502GdkaVv4!=00i
zDn^G7yDZMRy#m*dbo5%yeD34$=nIq2NbvpUGy2?6>o8mSFS?N_i|XQEb|@`AVmv+K
z05j~r0<}{fUs5uT`POc7`qJn{&tvH_>Mz|ky-SQ|kn73sIV9q1(6UV^x$NIUqlALv
z4PMM&LbLZY!3`?1JzmkxL8A(h@2;k{wjJgU+>tvI-Qfm4MAV%-W{!7ZB==dRA^jx>
z10CrmhDk{t#*xGO7VW(fCVVBr8CacnuDz{q$-6~jl&yMG(qL<@>z?O#BU4rgn!-i1
zKJ-ckcg4x^)GV+b88JX+d+rQVb){o+ebFZjp~-4jYbo7McB!atdHCNjS$U`qO6zn3
z_~8Qhnq|hS)C;{UB6jOyF^|L+dTJc(*zl};e4RIC@XPi~|9(34!KC+Un1h&(!IJCS
zrA&ikv|28#n)>QKDVa)=mACNc?KaJfd+AW>*yL%{wDQ#vN|(_7{$EutsfF
zKe~mwz$tKiTx(uMtJiI?+nTPabkWe|ys8?D54R92Yh#wyl+YNL^s$vtDC{8eqsupG
zZfJkj2@ziwNtXoPEm(<1<&H;{1P}uP2RIml>+BPw4Pu=+Xe(3PgB{-LrWzf!=eVzN
zG?Q-l;7C&8J&TDXadlrC0S<@t_0xYZ%r88(8~>|Vf@lyoaaaC|lWbQ&K!Ev!BQS<@
zY8y~o?7#cPs!2EXxwcYEHXsygKbGu*V=vv`w+S^LKsuGJAy_>0W-0CoP$t)1=;3Nc
zylRKC==TWo!FS8|xeO$1J)Gr4Vl!N5HVK!*vPelckbzn-dHWYOPR<|C55iIIfR9~%
zz6IiJ-Gx?Bgzwhxtu)5mxGqSa3C2DPCdQenOt^aP1
z)AxHGF4CC!Q5lU;NQlP#S1WqanyE#*%$+h!x`Fv8whCzP(_G5HzBJ9u{~cH!{m@{=
ziN)5|CE_~$@i
zX>RMa4XL5bl|25T9kQMKv)eRa&T{*9>&taTw6wIJ*{g93Bjr-Lk-nWZvuVh{*jU7Z
z`Qvcg2^nq!GqXYWuOB}e&<7Ga(d54zP+A8qs=9_oLRqcx`t?(qdygL7@Pz+ZnyTof
zt6>=v=G4Z~B0dRAy#WJu(TCy-;-oV)v-{pD
zamuN?vMvgdFe(Bm5VCW7VB$moXl>sSpZ6kjwA2slLYY0k^Ivw!#T`4Qi&jVLTYKM4
zEYM(#Jo}LRb!5_pa^+_Su&Ya7CYm12NrdA_jOpwpqbvYRo-HygAvuv6pY~Wwb+NT=
zSbw#ecQ-h76pQ$u7f5igw(Kk5xOw-S-0;ac}zHFW<(-5A9b0mEeSV#
zZ+ms5o@B8^F(VIIw{~srd5f&p4E7>!1~{Gl?2wg}bq)RJZRA@EWRPT|agpuYks$P|
z#rrw}|B>I$9>*vo;#^a_Eu;t+v$kI&=!K!_4m@=mk_99Kbg-(uR#BmL
zJ~8p%$MR-``oqb+x!z(NTER^7sXZ*ljC|A=;(n`yUk@X;O%Yl8Am+pHg2cM#rbkHw
z%^kDkxlF!xDYr16q3>Kc6VWF|;N1JTG;rZGlixtlo6ZYxkJP&-x2E8$J1+_w8T4DjZA)HF0`)H0K94~596vSeEdy0UI$#{IMHSXoMLSzto>uvLHV&
z-)UYu?42*5L0NLp;Is1p3`nC{wBkZQK50$2hruHTCm@?_uw6zM>>1o>A!q18Hv|?S
zj?T)NE#biM;Pyzv6(k%o`5Oh3|%%C-SU%`bM^4cqc^h5yKIPB3P
zU)Tds2;3BTyEK6&yQh!;aK{gTU$VAUv}Bb=5m%2Eng7;}G`JF{u+f#t1<)}1m=FJ
zMYA|BJ?W^4jguC1{;sIj>t`)@prK3V((tgK9zVt!>?xc1wpQFPVhgHE%#z@fvhqg2KehO?3!2BsYvt1uoy3>W7!7@D
znfW_NJ7q7X0KgpgIZxa1mz=??r;DT$U)+UhjJ#v(=a}4`Xg`wM?WB*T^h9tql5uEDn7=03ipAKNE1GNS~;T%ApF0t0&+V2
zp0C-Br$1&M*+!`8>)-G#mtx)RGvgfRw0ZMpY63i<&K@t)uLPYJE3YBZc{?4zP#JE?
zqW&Lq?DwV3J1LvPI(gvP9ivGBi%-*V)Lr*B`DV>Bz4T6Dzp?yie$nGh06AUoEK;9!FCbkJcB3j^;h((4*M#4w#Ywijjcj$g~Yt}Q)=bshj
zzHY}^X`RIrCC%g47b+ys6dcJPyytg^#Z5g%CWMdgReV{-CHj(b=%ss_S^q{MG
z-nn!bb|rvQBjAb9L%LmKE{jdRc@DZ2aZYpbsH6x29>-nclj*uB9dT^bA{)9&p$L;D
zHfbhcaF?4LOv}o~7Kk9s(d|3E@nz2^sowi<&vvUEwtbo^^3U`C`uCRZt%xP5C%=wO
ztL1gI@`UVraOI(qyq(Q&PY@gvm>ye|`zaGin3e~l(5XcfnX5>L1x~mi$PXipu?44q
z2mnLlS>>d|4ln}6+YUb87ydt7Q*4)2~2KaFplhF}#Lmiw;RTqa2nH8MdC~aK^g&lR0
zD}O!uwcn6CtR^r-^p%iyM-@4TgSGyor{dQuuDx)i(mHzdZfBa<_~Y~d
zLTLkkxLCD@th8iv+rK$0SShq--xRAA>?GeMda|Bq(7$ZkmjagDk4DPA2#^_1kjWT1
z%mDRAgmw_=n@WtKJKTdQfKLnuVCPaxdI;bv2?M6oO=SbBiWR*V?G@4^3CjPsMxzKM
zq+vkgql3KZ#uE5VczWp9fNv>?4FIPd*YpW|3=KiDH;^cxD1xvMWYLY2Wrti}>;~zM
z{DQ!6XMUaczjpH`3x3C578Y*qFrW#x@K;AY7MIFzGVZ{Y57LhuGFckYLWKEEgys_7My|(2=!|ea0^Tl^PHAz8(L5DC6s
zV>Pso0{J`NoIJ2e_BBL<&I(hQ3HJ^Eu1s!M@mSs6`uj8sl3J5}qduPzB?L8_Ue`8$
z%+h~OO-Xf?Kh#LQ-;^rw`BF>|GX%7lHX&2UhTWP0g~_B-%kd5z;g5
z2{_hRs#A;L5WEHoDC5v9PP=;bE`|NV6naZB%|XRkMMjElH1YP>T_RSJT4bx>*d7((
z@+3tUMwA8Agx(_m3I#swCxt@c$>UM_TEcUS_ytEItPIfMntIW8eGRBK6d~tm;EK{<
z{K~k)($bt*2mA4r)UUK{Bhi<2sW@1&Ja6H69i;X7EVPz?X
zd8Je)+YU!)e;<39jr}Rk!9Yt#H>=1&A86CfL{C3Sv*50+!B;qSOxDi2%wydJ0?Pp
zPev#eskU?ux-!YNjo_n
z+wFIUr3W98ErAGatVy#KOTr8><@(im!DjHO{25v3JZK
z@O1#4h{R&va`W(nL%NIxh;?Yt*qF2T_NJIqroQLw0rrnf+_--IN~KLerOnN(_u^9*
z|2;!8l7Vpo>M#2CuhbuZA8m;Uiyh!v^RLG_E>&bt_n}AswSwpq{Z~Ch##F)pHA1EMsT31tK^@=J3Z$6lKob~=Wc0xOK?mZkn6a
zcT@x^@m$M+D-qf-=9Khfo`sXrMswJl%bPg3_LiSpcjXgX?V{<{=AqTe^>0ILJ4Xe#
z%ytP;;@Lw<#R_>5V&V@oei4svM{5@F|7u&#iduN0?>Q@M9BRZ%c8WazQ5lg}W3*N1
zVLYqQ*X#7Z9sZ)y_0tgFqFvFDHX@m(GDRc!r;bLrc()6^(#qw?d+L^k{m{_$-MA{M
z+wg~_TjqTOWBN*CDkNtlePo<;3s`wkEN+Q-JQKeYcp-qT@%`2R*jM1M<%>m=()Y*<
zYRd;9(;yFkaeGoVLcRt~*QW;+S!63-yUX_b%oQ6njD!CBRP=P$bvcix;&O)8>rSnR||*S8sy-OaHBaKi$<
z2OCjYy2|B4%UVER_TSJte=KT_6VKiL5-Uj|p`;_RD&rMXE6h)Sd(N)Q5ZCXikyPH(
zSnqM|`|i;NmKWIS`~9dik4YX3%P<~iS|ZL>D1vH~^Kj#$_M8XHpWS}!YUeh4^C;30
z#~UnQf4vVB1S%(elhgt$;h_A>@qiPL9J#GNeCsX~<5Z4Wy4rCqWlnWDR2ziZ^GvQ7
zXIi-M>1f@)zzUqcbOae|VPq6*x=02{WLsiP%#SW%#8AvE!K{&c6LVEQa79#iS!z;3
z`TfuKUN+-nJv+ehVZ${q^bTe3$o+L~@_VPMr~1X0I*yTvJH|_<*_)l04auL~e;t{)
zK=)5i$B!Gqd;We6dtbF)DJCu$E)8Sd!E#02a>dVJsf$RWAh}EwI;@4r
z=ycHw^e)ZlM3DBI0J$xB(4Aqf;R1BMW1#I*-B(O7zyXsXhGy7eGz)%Jip~%cg1Aa-
z;@e)LEx^-N)jQl(AHNn{(@ms|&E;&uRtvFwU~317608yvPPI5f2G-s%W=i_;pzpxc
z#Cf>yu5NBbFL?nfkIa4@Gx*3eVOR*N0gWunIUsf=fx`eygMgz?X#^ciFTA&%SiWHc
zL8TzPn`@CbFh5bdus>yLT;!(uoLK{=*@wMe(&5aOg0}%nX%~Z7y*YHgH)R{Hsask7
z+RP08A#An^3;-Z)F5Ta^qolot?F1maM
zi%3*LBrSn{7I@KtjY;44X00Yx5x-x@MeQ6ftdlCepL713FLg!i+7HIw57+Dd55Sse
zYw+u5aIWZ*vpOU#?JQb-8DE0qs+0X%-_e^?Sd4Qdma+uA0bzjldP4ySuU0<9z)*YM
z(Z6t<8?%IN9gZ6d>q~t9e~k_5v*a#;=VQt{C8^3*l7O
z#SW&~LT0ur`iWXP6Oe8h^vHVz1Tfuv{@ZKm7HF&@{XIGm>>$OqHayX9Q04vS0(icG
zDmwY<&+{8at}Oq9-+FA8Ch7y+^+N9E}EYLsCkdfR=NpvQU%y^n}_qYv_GEQzS%8;|~h6+OVSFp-SngaD{mmc*1|Ylz(q
z=;}8)T@F5U;!jtp=Y8M@{1zWXT-wiNY&IbwfPAo)C5=vX3A0Nq6F3i@zr6hQ_MHk}
z9D346xMg3znRp)|+@7Q0=1WPh5EpWoyyEgD8s6NDQHmiCNLmX~#BTiATs#8^5ydBe
zef-uBroxx|?*sT+3kOT{l3I+3pgaT3QiXA{?un1Zh*pd84DqDPV{*tBW3?J&9TwCt9D2-1=v#3a4)@v2G0n9UO5
zXZ{k5Cwq5ck%@*7T*xJ&`NkBxd(cXNK_K6g<9`XD*}G-Smop
z=n{{W+u_fcvik)>6L(UD_82-WK(g@)I-?R1Znfwg6DAk$_M^C&cl08tFrPO5B**s0
zOG|bOz}}nn#z!z%^hezZ#imgi85!bkrzkSONa*h2o|6Pe`aIIRH?p#YAMn*`ws41=
zJofwDd%hhQ+gT5;ONOfB1y(!c9X*7B|#=yVJevUwG9y)5S}HS5@c~nw=a(
zUg&2nI<+4x2m?ABir_yu0O&vuC?f?kE$)$cgJG;5!)*yj3n_+G3^Kt$xfMn`zo--h
zgJRp;q;7BJy8mwrgqccv0f+%MgT-#~7c`=4bub_89gGvfnYHnV%1!d)%N!q{*mqN*
z{!N7NK&GgR_fN;T)JKe=GDF`j)nB&`-+wz{S}L#3S?B-a#bJtszJ4U|l$r{g_v_Se
zRIf}>OMd~7AQ>tMhypoLeUjN;crFJJdCAZbAn}_rd++xJ^sF?nKd@nXsY+`(Y$=I}
zv30Jfh3L(w87yS(}+p_cP7rWM3C!}h`
zWQg{g{=CQ~rQ%2cE2VvFqxN1K`8J309u|WNy_*hLK0DV6d*z%D$r$D{)Ze;+^v<9V
zcSZ1ejwvb_cr|SPQ<~WEQV8yol75CABXH(WAYW^Zu>IgLfB(ThiIl#QeOGAw$$GO(
zHdC0WH7s00+8W7?0H*K?Au}19=|*vf_ZpUxFeU$zcsFn
z?Y%E!Ykq4>=+_ql)A|?z&wXio)q4cq!H>RiwGOz@hzgoIOh
z?-O??r!x187cuo?Tr8
zc_EU<_J@(x&umJNoP1m`FrLdHf9(Ff85Vz4amn)^I$!TDXXMx{@{~(>--g?pb~!G1
z{L!vJ#<2z=h?s`{Lh0?6+n=)-s(Z&OP&<&K!h4*UW~2H-cs>H8bYl;(L59D>O9cCB
z;>Ll|qJSw~0JL5FvT&1a*Jk(6W3?gEw}29p?FbSeX$c7mG_oD#etkPaTIjxlmBqZ?#CePg|k^P>btqH
z)S{$s`4+deM(Vf~hBDQ5|EM{(do$*iK|p{OMlk*dth$y@5Be2;{59~IG&u6X&nfAZ
zzF=VA4#r&J{?Y~V8xAekXgIOmXVca@`4zrbtXx(tr_?63q-z>TUWur1R^nMTtoEc_
zUF52kb?menPH(tibb1J!d&y3wc~9ye>_BSm7^MbhH!U4szB^kz{qh(kTdxrpaPiz64XwcB`<>N^HtMGHix
zT&In=-b0D_2`#oS0U)0lTYrk@2N;67uJoQaKtC)8J{_@x*X^wSb5F*X`27`VK7*(E
zY(r;D+jPUZ>tiA5ui!;mB^1k8vS{oG*phYq+4~fhTh(I9DM}nA)xl$WN
zZC63^r_eip!Gg~S1Z3(Pc1dOw|9F^Y<UKbbLMY}
z=~F(q0qG)ej6Pg{!On
z*$oZ0dMqiz$j3tW@NZMCEXLzO-U5pzNI(fOqpEBCA&KQBo6&^Cg>fC{f%kg;Ig8sjvt4T;QFP(DecH*N$ZjTXb;6m=>b
z57a&{W=VfeX*t^mBeT;YS#Q<(V=tzr>^lGD{^77^C~x@T3F6*TZzzB?b_?1N&wPHE
zkon22_HowTBk}d0(70(8-+A5|prl2@;&t^leS!%3&!NK*5l+elqSg?#qesruhBSy;9^vRRX{;IIKxJyI?
zm-I@d@jZqX--bRf*m)_1cO{fGrM`Ledt3QwIdP69-1Z)-iLcoEE8YGGE#oq4J#41h
zr{C3CvrYfn6d70x0xuaESWJD-ddbw-3-5a>o%A$ZT_;_~KROU$*VIIOsE~J0FBBH9
z=OPY_9C1xaO%3v;{UyIl37){9-4WJF?k(V^7P30K-_rRdtHLZxa1|*nTx=IIMFAcH
zsZ)#jK@9+9B#yZADLc=ky!`&v#{B3nW(@*{ymsedins0OVM=UNrsELYI2K-kn12ps
z!+!H87v7)cI}3oF;)E!mo$(VM)9<_?WznmS*SG2xFOeN$H
z+GLQOL4^qkwk}c<$gH1PIQ-l&IXzl9YW*-J%cgHV;~~ol16Vn@u{0(OF^do&%Ts(&
zjM}*q$`^cDAQ7)X!y;;Jz~Q6?u1G&lW9}q!5#p!|dKZ=M#;@IJpf#2eiyh4FXw`8<
zcP{YDo3MO7_@>@KV7+HRfbk5+CCr!qn9*YHwGY`4=Vc5HW*{c`}H*B
zy+s3HDIg~=F+#HRI!NSMjBd|`ywAb5S4V#RZozqHO#zw_oPqK9dL-^-Y#Vl%vjXc^u(7$3Rtd~lC${a3hYZsm61>ZN%Pe&0dFih4-VUCz
zLT0I8i1%Oqp7ln}>_x!haZy2j|RboI;Gu{=CAs{M}&o|Fa(%
zf1=9r?9qBUqosUdQMmrF4o(0sx2?|_=a57999^|xw~lIq%A~Tlaoc6i(Y;@MHy%>%
zEDXP@l(#H`gaOV$vERl&#^KCgP2O33(;?NA!`L=cVPS@`j;;2~*Ug^m=h?}5t}%Cx
z3KcSPuP)3IF<(=j+&T0}`VW&h@W*J0@eY07nX7@lJN-26mcJ@K=Jxv_S_*cnw5%!Y9-l)Oo>|RwsJp0({IWSO
z8hZdoqP;XRNpkZt#$Un|3qrVpQy{VvIAah7k2KiBXFXKKc3ON4@sl`55dsPoaCm4a
z;eH5pMTU?d7t48)iw<~eb7?0EZ7Zuy*-vGuM@A7vMF
zI#xxpg#M$>{ogfSp{o>HD>MP!LX_k{%8v{HC=GUHl4I1=)DRbXbb|$3Hog5)>ctN=
zh7d0-=w@G&uS=O$e#pAG`dWDz$En`Wb-QI<8r1|Oze^;1zrhtAwQoTem@||C)u`P?
zhU-p16M+o!cjuF{a;y{@xDvJUdu#%MdJ;i9@nA>zI~=QmIe@q(1V%=?!FCFnlbJp;
zq{0(Wmq5ZMc~NqY9_9b?=IS?IYdHsoXVWzonP42_YUB%SkJ;|A$D9=)vV!adB=3eKq%meMCJ&PaIymPSYtM|Uy6C|H^`+|y
z%x9ea|1^`vw+?c2Dxt)&uwS;#OkaL<@bXd&$-%Qg_t*C@oSuc%z(7bA$?!X
ztCi;p)d^8|kPbCKPR4cdVx!UZ#c@n;;O4Mk04!xO8bT_Wq3z3gOa7SbDfi
z4WOY#s7@VcPdX$C(Y|lrYBcdU6#Ns#w4EaAGBOYgO_k{TMi-GCrqNKGRJE?o!xb4x
zx%}bkRt#jqoN)>Vy3Qe(b0ih0qJ{Xr@GW~682*>OH_9Y{fRv#9h*J{hYWDFRj^TLy
zmllAp>RdKy{Xz33H&h|_vDae^7aLRo1np-$6!TLgoJY9thFLAd!no8|9Om$%Kz4GX
z6w3C@XJkBJIw2`nAAR^odQa^Rq&cYAM>eSdQJR5Rvc63(_&vMN(Q|F5w)>>CsT(92
zbSz1_e4AZF5i2}g-RGo$j!CgzmdY=2m#H=Jb6j{6UUr0k{~=phu}~>%dZ+Au_o0h(
zGu9qd^cLcxu@vy^w8@=Ref9XtaM?-5EYG=5Y0M3u9rEAy4F(7B=`fIH>WS|NI%HY}
zfmF$AMy|daMTxTsYs;laGSOuA~eLxY)IwByzTqqWphLix=
zAVce2_F%)9?J6bG3g{V7AsvQ)48W9u)7j=ak8hLa_`T%r(!qJkJBGOEQER_x2
zhz;X(D!~*kU7ZA~a0uO#3#uC{1l@0oLpM@oJY_K0g`!H^;_egE`(UNz9y+CfU7^rQck%Dd;$@TSG1$DjR
z`_G}?yZ|-F`bAaEM7%_CLjBMn>%;&6WiB5ic0|3Pi1BMk>B~mjP+Bc#VfmzlVlp4k
zCdyLlrp;#19g@}!wT~5P^xR0&oDEwg<7S$sQ9G_L?xJqZUkNj-Aa&fy;1g~M;j?VY;`?7U%vL(B}&iF-FtF#D|xmA
z&=@CCzv0#({P~1MO1BRm
z*Gp;Z0VaA*{w=_rrj=sDh%8+mlwp_1h{It{=n=d(5uvi3jU{w?xfiCCU^YOt;gezZ
zjAG?{gRHHi(YAY<)E6nWv~h1pZ(>$YLt=LRcam-Q!pr9a_pj+=j>cJn#;coSPFk;h
z^0oVi(v#PhEZ$A(wTJzZm#q!{1b2Gkadrz(5{k9zObhK>E-o#N)iBYrR!D~>urnC@
zW=AlPBH$QIsCs7k0{czhIYBw8GJP*>%i~h!>zUStZ_CRs`CFD&RLrBiEG};7-I(#E
z6D}F|KyyO#TKL@SL-W_NEQi)>Kkxr3Aq;NRC4?>UfY?q<#Q1gDY?l8-@#>wY
z@NUxhI@?TRJsuj$VF&dqW&6tD`sn3=oF!ouK_M2-8w5=yXtX<1S-_5=D2Ji3EM@$5YGoD$_Pu==+ocm)BWW>Bz3l5IC!luz3^Ja+p;eQO_KI$JL|-R
zhaU#D;WX?eCFpwBqSqY_RhhZps>f9b?x+6TH&6h?vh3J!vT
zf;}jC8ldZ~(&0Un)EE!@;%^Q-V{Z%gY(?(tT6F8XYx|KdPjUKc~_=pBtEsZl3;9;-v2
zPz!gb$K&I+^8S0c_lz2#vC3icGkY)Ut**f=u*MR|q#HXfW)DGIUr=OqGh})wdKj~-
zw5_eJ$9q%@o7=O1V)q=5Bf~^ab5>_kh#5nUYKy&i7#dwe
z7@7s_HF!`k)n{P>jz8#>_2|SD`5S8Y<-!R~eK)@mf-;-E&pKWyK9dJ0dDb&Sulblo
zVLM37FNQ#&b}w`Mb(4%3gU?bI22V5quePq0-+$!mVtM$jZ0SPMQ;U2k9cE$mjg324
znac#uFz@ntd=kBgTNHzz0O*T<@wjsUIm(Kz_CA3HhS%0=T6qFZj6mXGrLK5d
zv2(}v?LC5FWB!$P(s(qx>a#u8*YM8So}RF<5Dhz+l$O<4f*zMxlts0@FxYB9OZn#q
z+~VTe&GE3hPBART8Um11b~wPG60B97v!20mn&C$~-5Y
zX2mhxyNeR$kiTQSUvqJ(5=Hjb&y6FgEjHKobJr?LO5TJUJSsh2T+jH>Pzg*hs7C6k
zrzQ9H`=|-H(ERPWFoS5lSiWnK(3;tgzJqunWo_`m(%wuegIcP?N_%kr>zu=o
z_fWr`o;@<^SIRs}S}M%I=G{D0@sM9K^Mh@?2CpA;krE94fClV}ua84?sIRZ*{`LqR
z0rbe;#9W1?E_%-%%pMi<5~{=;3Y}Uja8gT)m!|nP*B_$?po!6~K<#EBDr?jtT!-wec0fIyJDF!Zv|My7e^$txn8u8IWfyQ~1V^h4jJ>UvSTZ0wjm
zFq4(1{5sz>jkb1NeAPMruy|li)$jA&Ya-U!huj1xIdeV!NU%P
z+Vn40!V$hkAwQUJAGQ~618_&Bfsu#RMS~ODVse#P)mX{pihTXKt^KM*E(`N~u9iOb
zXtxq#mPJ#8SBcX`lhh_F?1D0_A^!f`LMqo@+F1?1zHFE#VsiEBd7Tgu2_ub{Q{
z27Is(Y+qj6v(9-l#&yQ-N@ickXnP=h=FHADz$b2f@ajuKU@2C~Y&CZmQ44CJRi`>T^vXs&F)TIjGm
zAYfDzIY&s4iwhd5A*H%0H#av=BMQsr{rgq5lJ?h}FRh#AZ};`}HTQZymwU&KV>r|>
zvrW4LE25Cz(#*KR6hp*l&Op2b6xB&Z6FtQC$-g6FD<+Bw09#T7eUvM7^57
z?ijJnAGFP9)4H6IvHel8sgcof4(BUyonv9$jH{?TZ}yU>bAO|D!`tb&%&vxphNE=M
zHg1W&ga(Wwbcj{*9_
z4-m=Yk+G*^*noK@nO1a^j`*?alHFhDA&|U~g~Gvk@Sr+6)9X-{o>Wtd15UbhqU8R%
z2yDhSS50|VDdQQinb%ibEDh>kQTdyD^=QXwio{)hx$MfHTMsf}XOtpmW<`Wb3EG8P
zP~Kw)sY7CQQb{Qk*{U(B3VXFHhCq_&&6~n5=eEwZ!I`C>){K(gWhiIEN}-%}<-khr
zqT=qOk);9pzH9b!$B%oWe>rE@UR?gyA`!_w<$q$!Jt4%R*;nK)meAjSqSUN`W$*8o
z(Vt%!I&=Pf)K1@*50ZXd5h(*uVHh;P$IO)?ik1@pDF2s+&A0T{^Xp2{xw_wp!50|0
z#GUH2MI{1wd~elv3-#SGHPF|8SvS&tW#^h>NAnDH{Qdn0uZXZ|EzZ$knzBELbt%pC
zYB6Pi6Gx9*Tsi6BczESafPjM&Q%sBui{kfcku*iUB}73iMDh7qzS0%x-0Qhx)6@5r
zddgx=vncYhdRKNHyC_A+^9P@}#$Nf;K@NrDDQpWFb>mw4Y|8nVajaDjKb>QBes6x+
zPh3x$WBFB;y3U`a_cwn~`SpTh9~v4?&C_-DW8`sCd9^Y0_r+#i@^;HEIED3I(u6Bx
z9h#DoFe9}TM~}bvHwdOlc*mZDgWbgg8{-lZ+p#!g$UT*#>Wsr$D6?B#WOUMX)sz*^=7Z5qQB(Em}cQ*^=TE#$nkUx6)^wv2Eq%y;Z(ad!Iy!=-HP|$)$cP
z@+!QtURW3<615wiw8|)v=@Ew<^^ieOD9pwW#7|lub+CC?s26X#U}V`@DSTLDhhFaV
z$jn8naW(_$*tT@H`DV72vCEEKs+&}m*}soD?-*~k6c!4C;5aPw;y~#Ju7_RM#-%PK
zojhuMO={9dRjV52fnnsjejYFc0yGZO@I>fqMslVh(&y03aN3#ZI7-OEO!?28EOxa&-c6!w0fmc9m1okKU-Cna$6zoqme
z1Y$y%0sw^|>HDmkaX@gWQUT~x4~cAT*f*pNy!d7eo}<-(i{@Z-Bgd`OXZ9BiENO)*
z5YOsK>;T7(-E$Z#*FH)w7|s743v9TSpG0XiP^%!qBb7XMT|xr!4YJQ#NVzi=78RW)
zYiE!AiNdi83n~pIb&OoCw^6|0m>pYl6bf4GP)J?$TtDpcHvX~jM
zXbq0f9kIu~OM?td{vqEX)GfwFMt9N%pbP)mg6mFznYwsrHlcSnm)8Tm)8qlIIyrd~{lGU`G5h?
z!qT~IYi(bD$ypfcp6TTe445%??|xYO{lGQNkvE52dbBG&?tgI4x#T`l?!)f7E$TE1
zl5SMj{TBy9Q2k`qnxI;(U0d*DUOt|+9E?l`iY82IxZ}MujgC{QqLAHr&Rovc$bs8R
z`nmEoqOgL-U5^$U&8|E$!Y*p7QYkj^1fz8U^|Gxi1Fy}n9Yz6F_59`nY`s+-LgDEaCr)_v=Z|W2
zeEn(+Z?21(6Lx#B`=O>f{rs#FIF;yNh~CM)_B>7PHV~ii=gs~?f6b5G&`;wct!^|t
z*Mx1mbHC4Avg{Uj-0#Zvpw^!E>(;qGmm*>HVSS*&x1pCqyH|Bh#kHS*U3I5%k8WIH
zN5ngplw{kF*B5+J8=J%sXOGBDor9AfMhhA{dbNMOSWBg$c=`5Y8~`?zhNCcWDak70
z#g$v?erwe4he*)O;O?24&135Xk;>Wks<+XpQ=^VEm+Nf9)4$_QP(oV4G32tWL&jy4
z!8AIleXg3J)TT$m%Rbdl^#E=7|o|gK2&DjvJr1zD`qHz`=>|;(m`eC#GeJ
zESZ9d*6%&If+rBiqhH+^`TpI(^Ende%<@JUJMzYw6;zJAxRY;^n7zd~Xzsu}n*$FJ
zzr>9FAws2@{q&MvnP6YUCFF;gqH{caWadTbTY{!td=KfJerAg`3LTj>dgDZA*LOqC
zu!!pi;u~w7TIYL?(V2am1zwewW|pkh2HVR%djj
z<7c9@qjS)uw?eJKdsiToY^LEMzo)ik<7Y^|BYf{P6yO1ZsS;0}-e8LT26tBe!#Lej
zfW;i9dbNAOsQT6kravphA@+h+s^2O$aL2rNLmX;qtOTXSU+oX?ni*W3EjXp%JHC=_
zv?FB4celm*=g)C(6Q(>n+s?YeTTjX~K5atbbp4M`tv9>Pj-L6f<|A6V!N6*YOO107
z;5=C%UoK{=Ank;)j1lxqDQXEwQXC2kTfP|Oz2K7U?d^^5?dENN$kYDi{DBqCK0g=~
z(1~@tT*{>FhqV~otH(dBEo41m3Iq9?B!}T0n9`sCQ{P75j#1IUwnxDeH7Gg^u4Fr4
zDS^GpE%t4glgvkCk9=M8epc4|Crz=BZ4K6B4I55XjU6j*Q!>2r{p+H66pm9x;;o$V
z(VZpk2?{5;q69}z^PWWak1X8*^9792@GRW<=#qYF6X&A*AF>rvfnXG<-S9kjQ;W(K
z+P{*mWM;B*Mrv0o`gmzIXw}h8oC%p33*n~0vgIyUjv%k!v5@h)XdomkQ_$cx=(&qV
zVc!IXU94#!%ti7^r=hdyWu|`Ln3u3`ewF+bPhkEzYZt5jwF*J8aA_#Kho%JbI$?6A$2wh>jdj$=w1bO7Vt4O`k{`oU$e
zKQV;ba=cX0p=Ng{u>uCv#Z%apROv91YWqEZ6#El`H=Um>d1A&5IOM&NVVw6JAcDxgJ`4klT_p+yPcxd}pqg!FbLN_?~MsS5-^RN*Bj3z%x
z${$htGR!{JC1Zj2JF=^0)=4z
zI57jkdhG_v-T-0m#`O1?wZhWmfM`NMQ*q-a^vv4B0=REzT(w|ub;6lcX>m9$4-;hc
zRQ$;`_l^`IuzgzpTo}AQsSYRafX^O<2=z;1wRu0C+3Gmp>L+r!n3(Wz#EgG!KFeQ)H5Tp9x7+^wZURyu2b1Y^MMcD_dKqi)>PizC<>B+|mFs2-r;!
zIGE<&M9H;BesBM;1si6QB%CnwW~?fB)0+wg`tCdvj_DFs*@d}Z&J4*5apQ7OXi|q%
z6o=QYUTu9XueQ4m9C`fgR$c%;L3A+dvbNp8J?(G&a}1MDt7vFE`Sj`2!=8Tm31>~*
zNww7TZg{?G_0C{UOQn7Pr3-G&lWz>fBG9Dq(oQ4i?4Rd^;*>_PrP-H6^Y1zlkM^NX
z@T+^6BN}J=fjjHF+^24yEg{KmG9z{Q>}!5dUS8hjbh^-|5|m4_+zyWVwF?>PtP5v<
z+I@XRD8+-}zVDjs3^UKZK6}r`M@iG}J4<@&gnQNec~w~=5Hk?1e~_=Goxh^)J@C!;
zjKZexSw#Zp98Hp*?31aVw9xkHrY<7oD@EeT6~;{z`kU-2_aLv3zS9pHOSAP_DAJ6x
zKO83|I!&K(G9`cbynBbK#ncgLz5|pMv!%F)76DsX&h#jjEgZ>v=h;45ZWzPvzf1mCX*azCb-?F3PF5qyF*w2gj42uy5?S=!iv9Z~H23&I57|vKD~uOP9`h
zM$tL2fwM$%88y1iib|3&}0iMUgE>+IiAJTgwt6O+e;%506q
zTlEGQb!R1fE|q&`O>#!yOjXCl(soNKe}Ete3uhfebXuVZm(G=mG80rk`cgkR%|4S3
zc&=8!Yhy*z73yQD30br6fhf&e&2g_f=0@AfF(sPO#^GIWOOP_B`pMqhKJudo}fh%-2>6f^UUTlXK%+}RhO*&Gr65INOx6(iL
zdv1Bh-Q2zt-J<2MUn@yVOS?4QFwbOgY#X^Ek`kqqM=r`zlE2CVx5TcuDBc2V27gBV
zL@*^}=lF+SS5w1T*cJj5lwO2@5A#`?4G*HUXXMki@2bFb=v?$~Ho5Q3Ga=L8RV%Pk
z*#0X5&V_M*(FPsfbOpaTY3Kah5i6i3Jfs3^QLb-^ZeXhEv?g*>#(Y=
zen)Lt576}Sk&#jWsh~cn!w3RA*(cT2;~{hGhLa+S`UIF7k6Q(U0*}F`LqkdE!=wk<
zP{CQl{%y3I+|QdUE|JWcvMA+$Lc+YVe}Lj#bnrD7dhKf-30<M1X$IpG+Jw)WEwzhvN&7bSxAdx&cDisoSF%wWZX2!
zJ?~~afE;9pnPb47b9d2otS9CGn#;EPvEOWRwRNiu5cN3RuEX
zhGyXPNb>^08AB?gVJ5Kec(YFk7!|DX@sZ3zHdQ+mi1$q!>+53^6BP)s0Ld<(Y$lLWA~@Y$?N;y`L-(e9BQM;!_67xpApXw8Lw|%Y_Gn6oiyP#JH~gy>jLN
zpoq-4bx5FZu*Hx=
z07zn@lRt_?6Xn|K>LSsLyr*ZHq`Sx2r`$0Wq>G>bU{%gFN3YF3bR%W;Ps#Q#4m7be
ziS>OylG_@*W>HmQf2UJx;@R9O-&J?lQa>U!qerXDy5&K{^rg~7?J^fJ$
z9xqQzOOrJ|<~w3D)R|f-77x51Ipvo2OV$rIiK;+NPP$*s7zDr=pp=(OTO!|%G}bpaudkg7#vWM2hcX}_Ab^EMQJd8{40Bs~9gClcg}lf=0T}8q
zzlOo7Q>Pdr7@c1JPMD|?P{#izZaPPwBqaDy-PjIhG!9RrsPd%(qKvF9P~xG+_6-a{
zDM71IbR0hs1YKf&;tV`U>j0Zrp;yMdJiFDr)v{>G@zMPP0#*md_niW#ND%yly;^;p
zlS5;6+q}H@F>`e^Z)IhUl9FrRy%;;~N?(du$gc;(A8?r7RKWCm`n+%sg>7xyHW~1-
z(wuO@e*xw`lj~k#+i((q@@?fh?km75c+0`FLq~w=dY7gE^3@iO+zI+&k}PcZ>uF@h
zFZ_1R3NErWIx+GwOG4;U3-6?uS>njJ4|{TR-qlp95p22h6Gu_L-O2fG;W!aUP`|4p
zn;?HE-gpTF9Ch14hsj?L-I2YpG84iOEaPiPcflthxS;sn9#XlLChRboMT8R)9HB2>
zyx{F@e*bU!NGoLb_ZziY#4@3ST7N6{&*PQ*n1MIiin44H2@3}32M^ViHwL<
z?$7tgLd-m+m
z(jQHOTAJbU=qVD;5xu!-7;Vhz@wYF?_Y%bTj{m%Y&WZio@gFquqKIDjbc?!e_wL<2
zaXsK>ys5B(F_h@(OM3X{i-#1NpD;MiZiFlE{$nHD<{x9bavkI%HM<=K?!^p)=#d1v
zb=P4tKhDM`R})7_azJo+DSeg)^pmOL78a>Z`mEAN)7(Meo5j}$u<+k*$!9HzxBF`;b1sfVlx
z5^eoDTi(1Mhe^SEe6*y<6JXU~k@zF;`?$|mp&DP38
zE|S-6CK9%-+C6)wH;)gx)Ns32H29V;smyNrvtjYPD5z`E=0{{Budbl9b#nrOf_Bm3
zVq@>9MLm9eL|I)oWq*YDgc>;#W=Zj1&zFVwqvP_YHKJY2gdS2q5@pQ>Z9)%heDIn_
zEva$Cx-)@tK-B<#{7HmQ?*tk_kCfn8o*hju#W2)9n_eh*kWZH`mD%LJb#R^}r=!9+
z=ia?1KwgN2Bo+07;Jkf}0f~(g^T7FY=eYR}Q@W!HI?n1(=>NP%yH5&X*3-DZpizCO
zNceX4XaoR3qesHkW2tQZo%^M_$z7L1CN%1%fVmwtOsV-ifPFAhilGkD6qe9f7Oz%w
zzgN1nJEu{6Q0J^?x~`(cknxNAW-Sy0
zIkg`}H#V6MIe6qr;5eM-_zG5PK(ZzEwdNqS-+t#1`=AhsR$%+HY@JSboWJjG+If|i
zrc1>;o;^Dn$QYx;8nE9YnA&}NtyWiBA+B}cehXi!e2AF+U+YtMpUq3_oOXIhuk$g7
z#8R$8-*1+)Ux+6_i54L4SOD1&44+^$%yp@kP252PE;Xtg%awF=!Uli-Jjj*{&~x?L
zwI;9bu3nUoxf>z~3boAj{ynSXAJ&q8y+f?8rWBF8KVPo-4TN61gwrl|9Nnc|paG%d
z_FcRBo;qULtK}ealsF&W49(I!hU>Q)TKx3>ESVvBHEs!RBkbI2=n{ocOXbX&STwuE
z5usM++j_|3uH}zkur~0TBY&mr6Glb|F^`fpy0nq%y`;|w|x4o
znwo$3b%*dl)!=gfH%b%^otiz^Ji7w_yRcU*V%+*)m0@gJf0ZVE7k-x}dxdcdp-FGr
zxgtN8P-$U0LbM0-DJ(=T6?&5-mw-sILOmPf;^R+3E(R@0H(Id0YuB|HI-TWv7k?3e
zXYWveQGn7%!J5h+}jli@u+-rkU~8$scS(B}C_A==o)
zBpp-8{)Eqy*l3e_0SPo?sCwNLWSBX987=y(&S(o_Nq-NtIF=9{QN6R*{8`PV71#;M
zJjwru5;87hp?kNr&)_&IPVWX9sg%g&Eel-Un$HX??dM)uDIkxI>SM}&mu$}K>q|+W
z?SGfdrPGN%cQ2~+Wd_-WCN2&`mMmOzJj}(OBpt|YRa%k0k-{-dFrrl~#`_s+(q!0|
zG_kK=zrL=yc{>fWjI8|5CFTttrPToJUU~8D
zYq_p;^uM)e&edj3XeH=^WljyC-AGgc@{bN2hlNpqfRVC$2?ML}n`9&ky~ovp+l3WU
z3odLnJ%R$bWlWL?OHQJ9M5S(O|9eZx%*IVSiuk@*9#GcpSI(XK#&aOLc3a@CvBGIH
z!9XA#C0>&&1p3;z0xNv6V>o7@RMHQCnBn-BW6mm9D@j?@=@4_p^YAOP+AHs7rk7Dz
zbb206?6ZC|Rl0O8Wx30jnR$#9*+o!qD68Mt88C7Ob{KWhj9q`zs-3F4_&=?Xnw#Ua
zCqJz{KB^cbe3Fngy=vjf*tY2Iv7ymY0}_k3)}OdtZ!91CP=i-BMY4
zati@VXm{^3G5@P7>U~{ILv(ImsmlK}dw&L?Z7Y6B_LaIXWV4`=dtK$(DFI4=!
z71b<5)#rqKIoIrMHENKUbFfdKrgI;g*faj~pVGCg-gTn3X()Ts4JtSFwSll=jDZdU
zt_awtFzlGCmO@3#lrM0(%tam7KLLH@x`xrIoDue3L>7Z>0$UMKKxlvlPXje^f8SXO
zx)7ipjtR7!_cu##fB$u3HC&$JTkVMn?$vy)F}s3W4M?k;h9vQjbI`D+|7=5(!DJh%
z>y&wwY1+g|Lx|T3VTq+%Vd5I$eIfeQ&+Gsel$iZBAZ7x2{K^1XPi&1IKZHM5JG`w_
zx$}Pkb3{5JZa8*_(eR;Bz_w~Jo!E=wfRj1WxgF2V$5h?drKNY?L|^__8Dku{d#@Ha
zW$;^cYDLh&{r$Eth=e$Hmjik9Dbp*+#f{8ZVSqx$i<*z7)S!{fv@}EfFFg`;O^JOl
zXoc;|7aG>Z9Jkl9&IbZQ_r~^O7t%AE8%A!$U3PNC01jxPK*q(Sr3nlgc7xAMhdCT{
zbL1uqHGV}S!%4vPFy*qk_5j0OkJHmI!eP^ABU95l^tL7t2}qGf0B}*HuQ^yGR2rO#
zvfpB?vX=H%a;#^&&I0<7korgUqJq7NZNz=uUTG*<`Uc-A@kD~KLw1oq{g*iI`=*Hf
z@+Z(g2@Scs+IbA`L=xMbj8V|oeXFE!&#Imi90OVue06L}iZTQ5Wf6kp*AE>m0@w_hU``X3nlI*OERv0|{Cy(O)49FrP;^$Qc
zynZ{{@6}{$@HX|0+-g|2EU@oeh&&!`Y*w`UQSt|(o;-O%mEk1_@ps`LS{V=+xOyQY%PDR28sN_z!?r6=8RWs*
z4P6FQ8Y*8fLbM06>jg~#>q6$D2i&{WTopH!TH5)OXhsPrz6mUs3N$cswQ@EG$OEOr
zic>N+G?cYDfYcLgv$47PDd(ZN>c~~1$E#JYx+DGoGG-Z@QE{am4RR0wlA$5K{jtJ?
ztg^j*eq`OE^80E@h(dl2G>5+Ky46)*94|vka@KOkouTza6O&jl4bPV|7
zs$2<*@d;QzZ937{H<{Xv-VE!2n>%?rchLy5M#259j}
zP;y8kIj;daKMX}W_25Rd3jB)uP44^?kNz9I^PeA%f8Tpwoq#C+ZyZkjb$~20GEUJ2
zV5_r)T}%XD>5H<02oUHn{do-BQapRk<4`EAVz67&1#th)>?D`qaa5Ev)IMHR`$4Y|
z6&o8Hat_%0ZJ~7GrlB``{L5Bxe{%gWIjLiG0ssyG4r~-oa}b7C%!=l%(1*PPFY>Jb
z%wZuVNsokzjKoyjk6|+Z8(b-&a`|))BMEof?DFrW`ihT;@5t-_p2=yVvr(M!n%~!&
zt2(QZ!@VNCCqM_0i8l~c9Au5u{+!F--i5)s%|`t^di8T)>h)QyM560^uc4u#63p>o
z9!C0xR9@*u^qB6Fxh5^Xo^6Up
zLcDpyP(*dLJHxY&(hRGn`k~n)>Z*hJ4scO5Yt1={dG__IRW-uU#*-!X>tR$ZGH5-2
zmBx_9WLRJzYm*C8;u%x}tBhodNFGIheY}Zk_(Hv?lC5#zQ(!@_R4j7di_2OJMdVA0
zH;axRXFm6@KT=rpWSzp>0QwUB3h3Y*>}sH^x$rCk*M>I$#`SDcMl%froo!vmw8xd-
zcmBl-Y~>sL0#Bhw|Dz5M`qN8W0$R-*fpA3hCn51O%WU0J#3yjB%scC?C-3O8nw3+A
zrd=`zBiLUl$%wDtFkbz(OJ>elOUP1(a$)V(>Nqo%gUQ_9fq^^X>$f8hGf2*zGMouxpGS#gSoPr$=$Z1)M0zFN?zGpc>NENaz=3
z(LPMn4-k5yb%BZy7-Ko1$(ckv%zl>#E64wo2UTGO^Ma`m;(1VaX=FWB{C)`wh&2E=
zXZFfq*^ax
zHNt{c0QhiLPwDH|RhT4^0K3YLFJI7rwr~IbUYHv;BJ)ioqEu*66uM7xKc3EB3eYHa
zLMFS}@fn&^ZuZRW{Cmc)VI5gMbu;XaLmJn3^}A|!-IxgWK34|;o1q8_-vJNG5oJ7x
zE}Lv+9U-L>z#1eIX)ZK^L3!7`4`N}W*oJqlT8jQ10@mCRnnr~+-DlOW4nlP9McsA!DMvq9e9x=!jINtqeEi_5O3eDigtN7u5{#|@>dVE>^WxIMCDH?0G9*7B(pY1EG-uGv*cBGkX7*tg
zPBMs)?T{_gytWLN3z3yR9>(s*Hf3lq6v0}C8!AJ-nuo%?i7LS#`hs0h+kW^YQqnkB
z;k6ZZkc5|;Mg-E0KZi1}Bys_Prdy$3b!pp^OjULD9W*GuP1(6Np2n*4q+)~;oMw2U
zaV3WiiLb{7{-8^SU!~f;*qvNgoRf&GlkT&$nWsYM%2ok7v6Coh7X@)Z-L`dWbX#S8
z$fxWFj~+dGt>2AtRoy9a2trgN*dW{AxBSR>^APDlqoWD%y@RMKiEqn>BJ3r_ZP!fk
zIBy@XE(l{6z2~rsGJh>gDC=@4W{D07_a&~JH&q_Dmwp!nclM57uWsz^N_2y;KK;J|zS?-tQuYZ78e^Iw-S&SKccoEH
zo>>^J4obxZs@1>gdDq9pBmKp>Jib6nH1gu-#5Qzc`0xHNVL|Mub
zN<3vmQ3HwuDqGMXVGmnCLC8EW_SF8GpEEi9kaIBk@_yfY-+S+~T-i0p!ZBL>qrLjf>(WYZRI2*2CONV9+Dyhz%GH5K#N8Q
zH$wE{Cm3y4UbUmE*vV4)4v)k5Z+$d*0W2A
zYs;G^+`b*pm#RA}g-FPyx{``wgB1~;pji@FV=8`Z$oG3X0Hq>(UI4ch_pvq3DtOQ%
z?E`3`jrvcAMDd5`leEh9^9(55j85A
z16=$TIn)wOD`-%EIFn>Z;BbH`pqM;47biFN{@6rUs!Z6H^k|EnEK)VH-;Z0kC)04*
z>hl|%p4ioBU9B8Gs95Z%760|>EjusGiCP@JTVH=KV=vWSZ}EI}t+?~5kcc(OZMm>F
z=c&*xm8Rl;?lAD5eJ`F>#h{kDW>1LfYG1}RB%!o`-7T7Qf~aUfhr
zxOd*IuXj{BhwpM+g?tyoRJ6krnxXd^QAvatiI(q@BMZSyv|`~q5OfooFo8$yFm=
zOm<;lw>_;ibF
zT`>!AQ&6Ti!tpp8pyV}wfaEVgzjg6X!-qbQiXz8l>T+`XXTfUJ0X%yuVeSsUXAZ*?
zhf0G_BW5yA
zjFe4J;JykF*lB|K!@yY^mVb>8JKQ?+02+kBrB#FWrJmd9EBR6MUT50!u6A~I3X2xS
zgP;g0YfrKh!iy&Ghx=g*#f4*4RHoOb~;i+I#`aNhtRZ&Vdp
z#>RB0HhNmQ#WI!gy=WkJhKQeCXRPYED5;Q5htUKAj?tGNd>)_Js+e>#-Yt{{n29)1
zuE5x@y_fniac_vi8t$MObizt~x=|!E0i1>>{!oOjrsfdkDCT@2UGu?&bIST-CGde+
zN}*)KxslLzkT(U5EtZZQgKPdK6y4{~owI|v@jn(UzX@-r&0@R@dvau~59=T&eS=01
zp9$8eE=`w~hi4@;>ReP*5G`Pzw>KB8j$UGaO$&ff=ZWtJ@HKst3-a^p7($d6|H5pd
z!ct+gJ0@#r8yLJ4UmKSQ4^_ooy;{=1ad+=kg;$%KDEgn~ozfd{*YMgwEYi9I%kZwC
zNIa12j^d$1Kl5vL_LC2Oh>>m_!5^lFWqg?KI{8N80Da0VO3+9CB@In}_H2hidU<(^
z_}C;12D>Awm^ePHG70zY#QUHQ6pih2bgcKy6NyBw7#lqpl9a$3M{;{C8PTZ(eZ$^x
z-9yJL&GDr-gzqHb$3SJR$MMqs+(nsTvRXjTG$OaBhDbi^X_FafYG%<>p22>a2>nOQ
z(;=M#Fkk~YV$h{X3~x)Y3_Fr5NwW1$dPMOjL;+NpdNhK2B2J()V9yb$+`i9hZ{s4V
zD{h#E|5#Xy49(;6nnyDl47e&Q%%7h%{!Zoh?m#Bqu~U4;v5SJyt+5yb&JlDF`?qt-
z-%hl+)9LB(jZ5iQ#rRThQZ@fPQ$h0Y!se_~tG{jHIAzKTgxx^+)L66O(WXTM9hk$^
zxYRNkX?uO$LxvEh;+Z&`uBSjXkq)Z{SMCv;KMyHXw4MVg=xyn`mUSHcfI9`vU=zl$
zK~DQE+Sg#)5(j_~2^whDwzdr*?0UD=f(B%{cQ1p%-y9BOXk8lNF)?$e-3nxP^lbFy
zu|2%3_;{Qe%BmpF(55ArAI5c#xY6$lA`};1YDx1E)WP
zm?qicQ#7rtgnf}{z%Xl^!v$hOL6qwuppTr62Z}6q`S`3LiOi=2ib5PgR2tBOl|$1L
zk(Af~b|Eq$?BZ;g7Nc&5cY{5`Q6UsW1~CNo0^zvcbefRlaH^ww$T=!)MOgSkO^t)P
z4}2*X?btBJ4X*yu2pc2$Es_S1Ra|JksbVoec7BH!I6PZ-K=)CqGzl>t<(Sm~83Gqw
zkqJs6;sA{3fv>TtLH$im*!-o9B3KO|@yUZ_N>F#*X4q+iJ&qq{^RKyQ7Oc1p`~#P?
zgKeQ@9gg-r$vlueVd)e6Bq>5I!V&(PrMnYDOe8BzewR5bCF
zWT&CCn<#|({7zchHa2lnULtXeS+1^qO*@7k^S)i(Pp&LN;|&DiO-ulTyD*2v`U*oKBY6ilZOi
z`HxH@O=R6q2f~slNF(w7yEaR^gN|}0r?KNkIO#;|hFjyM;r~5+&U9P~x3M8Vt1%Oi
zTtBF%zPh&pn>?Yq9u-TdE3YV-9Po2=$)Q*%CkkR#7tCyL^MR5|(eiIX#BK8RzsbZ{
zcKGmk4w%E5qqM(*QeuJ!w)1`DWWNb-%EGt8%RL@*0m;EGAhob?`-+#7WpXF|
z#z_$L6PgENFQQ^%r@>$^3#A%mo#$C#NyC#^
zZITEQnuLO)qBL_&61H4g^knuRQZ({)o!fusq}@yiN33()pI{(!)W$CtIYIn@2O
zDDy>u{5)clW3~(<+YOl(
zRlUNXEXkYi&v++?RJA0d1Mo_IB-F7{b@`NK>#h)CiGM1!Hg4_~-cHfD1)R&T5Bl~=
zI`TRX{RHEM=7YsPNFPGc1)@4xebYw&H9mXSfk@28OFUpc;-yxDyHA8vD4c!sMi8F0eN&I!9r`yYhPB_L*MO8{>Ruq
z!}!)o^HSS6KAnQvC!>*Zaqbali~ELLq`+G(CL*nqIoUjf)`&*|Z=Wn>ISoWiO$fM@
z!U`p2WhulrkC{bC#D0W_?F;b45=SX*hEi1+G{0=Asjemy+S7VEym#-uR;s6~YfEfF
zGV=4+u{J_;ylSdfq3I0sWqMRw__!-g@VQAiQmB=awKq%|6>ifgT8Z~SPeX1Z%s|oh
z>anYKX5Gq*t9Pj-jxn=mSe`E1kd8PTm7x1anm_C>mMnSAT6!>5{wEupfp3nq0Yq$K7jbYOyfOl+?LM^Vn&Ss06R^=xBTTvg>I#
zA6fM1L@&ogsNQ?a=R)?KjM;FJ8&J~Xtf
zCIwjlXiz|*h<8nFaVd26CEPBgX^I@`{phqED1`*I6hO9wQ@OW{P>ql80Ym8%)
zk`B^iar4XQE%?tGw9l8VSimIe(dX>@IHBHxRyP8p)-2)x~^NuwI4
zVW${OS$lX6l7q!1m)yTs8TM>2y!VK;+M)#Tek1L4@aiL{r1210WuVn<*ep#5U5H1D
z-;a!fW{)t*e7J&l<^F?M7#!eaRteHm)JLx*sP7LTf?$0VDAfBE`$EdcPQzSVCXh^|
z8lB~E?PX#e%0i{t$)P=2%hZZZbf(BARbNZ+fSYrrIAj}+Vu@sbP#_sXAL<#XI`^EktAn*5}F+UB(Hk#NtyHidfU6Q&*l}3
VZ0=VMYA4rB+id$o-X@O|{{fXVbQ}Nx

diff --git a/dev/articles/a0_tidysdm_overview_files/figure-html/background_to_raster-1.png b/dev/articles/a0_tidysdm_overview_files/figure-html/background_to_raster-1.png
index 74666c14689e066e0f4b7d02ada9615e5f0cceb8..cb54e323d13761812e450415fb3365f0a31f790f 100644
GIT binary patch
literal 32813
zcmdq}by$^6_dbkYn^tL5kX9*!P(eyyi%3f=2Bn}PARUr>V*%13h=6p7go!jN2#7QY
zN-14}bi=!5`#ksO`8?n6@A$oczxQ!?D;IOkteIJ};yl+}0XkYLbUWF1Vi-oJrmCce
zVH89RBgbf{;E7QMCoTL%bxlJ>3I2xvR?n0W;IAF_s+XKFjLQ%G!G#XbUdJ$AOik&u
z!JYW2UiT=2;e_qkrr#5Jd3_}~-QzO6`)L~k0@xppy-%Sb^ToF_(xn8@Qd63z1k^Lo
zU(&qBCnPswZ{hzC+jp7yLDie@A*oz-Ssy5aQ^^JPn@ij=)(9!iGc#$V$ZNs;!GJcNxc7W|F2d-kU7AsqB;2QH1S(f;i`OkW6FPjlFHgk9
z#bwX?vzVjq`SbiW4t#1Vq1?ju*4WVV7cVrEbyOqTdwX*m8yj(UXS}^PiQ8IcNle)4
z3r3D3EBVj@-j49l-n&YmRKIfldis}oPdE34TS*HY?d?L0G^zt#yTnfOGV0vEotxGd
zn7?4nt006UXBIjl+b3}#TorePtkMoOuU;~D<6|VY?xFWf%{LGIgj)&hqvT`s6x&yF
z1}6RhR_h5rbAZyi1dcIGVL^n~x9gso@-7V1F@hDHf6r>XgGk&+cEjzcn!dw^qrmVE
z`!TYwXZEp$5f+Z};*>Gmjbv@|kpu7$k5LTq$n8=kMxMp6N382NDo;`1@mnpgi4-6k
zmUKs#jOvLWMpLWcu{R7mNW?H96AC=hod!loy@}hw__wbcqyhfj7qb}Z3&&{2O~%W+
zJ$4CC7PJ?GzF<#Bpy6ETGfKXn+?vc=AhH({S?NHyWxoLY<{tXZw6oAQ8J4ty`gRO0
zLz79miF1I5U(ZxfeN}|%2OJmUtr$Cx=hWH_YC`mdB^hEZ+v)#_r4l5x4T6~|{reFO
zFG#}y(g=Vwq?gEeD^D$0S006l#G;9$7((x8w(mj08?Y>MfhLqySJObrs+)RMSU_yv
ze?0{8K{7Ov06HR=3)r+L0T_+{nH_Am2_+j4Bcs8H18B!#
zlv*B--HbJI{(Kv_ucr%kp?wi!A?bh+Z%9dM^2RP`d-h*#6X(3jX3M?Toi`Udk1z*h
zy?b|I@>?!Pn2UKYVSCeKB0G~$ZGN<=Gfgd$S)}l06L&*`tYl_C9wC0!%tc}dBYi1xO&!S&+a-d-zf>$b`KioC0z9^PtA
zQ+uADKl55sTU*fA;Mb?<>UC~AXLb8_M|S43=fArPCyOWZ+SX?(67Ah<9NJr2
zl52Pfrv{fQMNZ*p|0Qyr24-;KLdM*jBjvr*4;1&q(aXxq)1srJv$C>k{rTaZ1lR!y
z35o3FVI4>@lA1eyQ;7+w=FR
z=vwE7>m_dg5EnKny{Mm|+45-55oQrW$9Y4wh;MnuIp#GX*V_fU9x%b=#=6l7fuoq}
z)U(A!Lt${`O3vDvhs4Q~R?SJL*^gWJQ_-=feg3T6(b<{v?%hfDDFXuoFcEk91nz&j
z3UXzqrXEZr?9~zXVjzMn=XG_H-RDQHm!4QEo}O<~$d5g7bLrBJxuLor#V*z#$=6#_
zRjj|gxHK_7-tsw^WDj=F;p`(P%Psw*3=ssvj%
zF*Rl2=~)uOE%*GBAHyW9&yNa1#nN|
z)@b1?Z!GGVA1Ef5=61KYr!Dt+<~O}5^IU!obGc>jygD2+8Lq0+x7){DIpddmLv|=WXp+D@OlA@tZ3o~Eq8bKg&k%pA)LB5Zwh{(
z|4H6Ymh||D;q$UG;M0%+#T{&B0w0Z$Q6)+SC?;6!
z5AF9p)XgM2O&6Emr@MM8ci$gBQC#!8+uaL8k=j-t?owJ=TC#k_3KS_;^<17l
z@9kZd8S&aoEUUj|
z0Z^R;~#aZCOpIusNbjFXq!7^b7
zi-2XrQwemSr@p^FVL}+H4Tt44`{)kZVF*WBnd67e#}o^k?uNBRh%PvzC@M1ECjyuJ
zSxj9Y=j#aeS|<3OYC^{H;3#IfxweS(CtAe#>Fh(H7?;<3Xeh)9TVBFf-f8As$ZZ{{
z4m@#r`!k1~rZi!Bx;G-CvuPyaOUc!6Lz8<4mL*6g*?FFU4M$PUFi(j_Kta!=meJTd`mGjz$c*
zTUutwCfbmtTKv*^HB-&ajvQ!cIo%UqjOP0zI;RNl(8TDbrYA9h1@Gkg;-T-*c=Du?
zk&(1{*Xf>Y%3XW2GBT8fg@w!W;&NV^*I0EGT=f8Df9pPfqrYDvv4<|D)9h$(R*DhX
zK{w<4()&s;ueRW4#(FBMqZ5u`m;f*K$}j~J>==vp@{`uPkvgH_9;GE;G)flx%oR?wWZJN?)9(|Q@RlYVtEF$xumpD4m1lEI
zMZ$4N^>^3H)aG-C4#!d{k3amn_VTrBXPx+|IriPv+htQ`;0b(evHJtzLhnISX`>8S
z_e3_Fx%wU#*1ldexBiZo82o~s$XU~JmvWc$WNzW!;zRtx%mEgqr?praS0#)jyMJbZ
z=7MEbXXE5wllI{z4t(4!!%h@!#xm9_Odm6RRUpt?>Kifj(WH1rh--Ek2d>?5RH=)3
z?Ta_19eQ)eEZ
zs+?V$$7@I`%6@lylAn^2}x`h<;ZB#`A>4zE$qZUPpb6>
z+n+)mUPOCn`JgkXhx$n#3~Q@a*zux$nGm2DYv6lszsk=ljXgipcDfQR?l80cR3PKM
z_@O?s4Y?#kLqRnwJG;*CgDR)!T(n#ygs=D*1!(MHcHa@f7EXZ)xz6Hr_VewsE`2EZ
z()7X5_4eb#Gi<70YqlYrV5s80QzRR2q|8+`6FdILy5iy0b$79G384czWEgFl4H<8~
zZ*XV+wO`lU?Vn#KUOR(PtUv&>f|s{t<_NIxxi@t&*5tJ2Nl`-|o*{vq_e-f%#z$}g
z?-Nbs58`jxuiHFtu6Br*XK)7x8xn0Vc==ry8HZs;s&ixmx#mBeO@*Xiq)*$B$*Omz
z@hH!C9+~Iu(Xbr4e))MKuJT6R$Hyz~bsuA#>n%zMG*tJBwr)MUE=zV&_YOJlF$mKL
z6!=PN=Eua?1D$&BE>_Ds`y}Q4$=K=V=$&B2j;VU9)V}X;J6FHxaxCQ8?BVW8fsQPF
zY;|}^a+yqk*aKl2Pp!(1CjlGsE9WG?_SZkYrjXBjvvpcAfi``oUu#4Ch-bz;#!|I3
zqx3;Nquye!xBe81`@YGe@~nwT4S_pCIMMc*tngBQ&Z}3)Z+W(z(~yvByS`y0
zYVt0TL3EP;ia?9AXj`jrq?LPxDXVA2;oYJKxg#l0#vY9nmc-ydO-xTWu6bj-c_gt2
zkI)V$t~&ZINQ74KQ@$0q_|4w2*XC51Xb6@@UAB;UM1DwIvy|M!+hu}gzE?0)niSlk!t)-Qs
zQ-orVr_24+W@aedH>Y6yDeA$*`=tWA(p-Uijh;caw{cdKtcn!cyMS_|(2CF!h|N+!
zo}tbJNy+Q#B?oW{ZVLzSBnSAY>n8b)K&1mMfv+K(nI1b!1Ye@5T)FEB#2&=e9<0`Z
zb4@zzAQ|t!+M{62frqzJVSyJP1nFs#LDBkcSO`rRjxcr_y$;V%c7UWg!$78l;{EhT
z5P(Bw@sr1ckr#YOWDAIly0Q6>*D5LgCGvLjJq(-yhR+`ONN08udPk#0`9l))9QywX
zNx_OAH^taWVhlJ@QX4N@8kEUAM8Cit95w})yBA*dnm$%MD7E0kOHF|<;7%n6
zV`>cJtO}8nZ=9a-UA#kvA(ctAb|4~7>tr1c{;LhIM;X(k6Eziz3)y+-K_niqPJ
zG*jpQeo{#bokOnl_q{J?&~Q^FxOr%|m9$*x@luuvGM@$<33(Q{FNQ`!
zOLde9QcF^R@qMKNBS0^Ih2{FY4>Do=VDmyz()hROmr7z!i<6lg^oZ#cLvvYBgQC>Y
zN)Hg?``94y`+q*0roTTY3a>_TkRhp&iC1azUF^AcRvB<2ogdKF34Vdzw~BfQPu9Bp
z$kB9Bvkq7%Gx@tFm0qAX|2&jBMu8ewwA7p>H-Y*RYigNE2ME<5C)K*rBa}ji}gKV~A5(VsnFsmrE@pyCm&wFb7VY+4%jAjgQbUhc?E`qjVnA7`pN00Rfc)R%(ZEC(T+n2Ray^XxFeohy`l$D+y&esQzcnb2o|8_vY#0tS>xk>k
z)1=c1@)b~DH^aM*2^Z|W4x^)-8lB%TE{|O=&Z0IWW~TIAFj_5r8Ra*}e0set$|u1s
zK1429c+zbA`pB${sQuy@$^LG=XB8FR7oS8F#;NauHB(w;{kw-#OdMECKW+vhasFo*
z6-K-Sdg2M$d@VgRtCBm7c{caskYX?W
zg!62!!Ii+|NX_DD$uKhkTM9aoG_++D-;&|fU?{Y#b8co%V6b+ZVQYT{lJ?T_sDA#sIkgZJ=8RRLb%B$p#ew@
z#_NBYWrC$Z@KdEcoQl#^ze<^D-2UZl97e*Ryx&tZ{^XLQ`1Z?(muNgTPn4q}V(ZXN
zU&|S@J>Uv4F|@fn@V=}E%?oBvF;%3i$W%P0i!f^|kQ;#%Fc6%8(Bop293Ip!KGyMq_Fse3CL>xw$t_3z?I+1rA)}2zGV~;AH=G^hv|M4O
zTI;*@E0=zEX99L*0&ocA@0Sa0jXw@A&GhF(YJXO=d?jUTnXqlRzVuuF%$a*y3Y*U7
zo{FnwCb(YycKiMI*7{<*zP4HfLJ8C&1^A6@Ays%P>t_4KH3ixKrR09{CA3MPUTHBg
zm=JS-<#=m4#CFkqiwg^UM$>?|JUww!t75#w^>=HewtTi=qL<#_=is&kx4vvVZ}ZLA
z>1kV#YkaZOw6oyqC-GaYd;l3OU&_eL6kIFe@%nQ*m`A|`5S^=@0I$W84g>fsVnQhe
zK4cK0900ZtG16qccyV-%vWpjxhLMK2#UIxBw*b#rTWumdbC#}ga0bN1YGY+~?T??r
z3qYmdrR>+Q^+ikn+y$s71Jd=eUw%B_MisVK$2<}e5{g$x;?7^Xl&v9Bq?BJe_Xx0;
zH;%*VbX+pxzh=hA#+nC174iV08X449-eJavfo6dV)Bz9+&zIPZD2hf3%3@06u`sIsyg6DM6<GmC00_3e_u?G{{z4H(o?eo&o_&?M-
z+{&1Qq-0J?isJl8L)&z3iIYeEiAJe2dNUy#&Bfi2k_5u<@5xFB-6zDb@l
zKnZe;NFNDt@s*_#;B!_wV1uqt85@M`CYUO?AC2FC7Imicbwx@zwL^&r{kmwG;EI16i%xvvk?z
zJl?qe{*gX1a>Lkru|uu@$bSQHr%ZqNw|)pf#>AY5VFkvF%-2y-SGXpqThP|tzPl_}
zRYk=w|2Iza=M@Yo&D+Al$>=M#v%{M*va)Y&z8_a>jVWJ9m!Ag(O#)W#?l9y?*}9UbX2UZb+?@?P%+
zwBnyQ-8&HOk4|8WiH90&QQk;nLY(vWxw*Ofq2AipKi=PQ`Sp$9A3uJGdoE1{bv8X7
zltM_1g-n9MFP#l*#o%`2NbKjRk=YfnKf{s#K}$ZZ#GXsG>|#jnAUQAQJUHb)Ui-wemEMVptwwZvqH9*vy&9b4|y;XO(dDJMRzAJs8wOsJZq-4aX+6;E94YA?3Qe@k;qz
zHFe!LJ2kTOzp%zY2-^NH98axy_A|$NgOlt}P)!M^5luA`+1I#SJMn(+cTI;
z_JUiV`^`R?-!OEhAGe3=KXd^`i3M>8w_p)SwmC~F4Ezk@R
z!lkBAIzr>Ac}?NVZ)%+a4E}GR-{@~Q{>VCIsg_2*j*fep@9RA`mqU8%(sl(t5*8;#
z!7%SXhqt7<>zBO|_J+H8xdL-}t
zf$>+%{e%iF>EYd`gl!dtHQiuNX+2rjsXvR}8s}_?108tUn1&l~!jE)3jsooD{Dlhw
zv>{z;7Gp~#2dC`{sLE8^iwA0z^+X_ZTdnJS-||2)N0|#cTJH3=RfG
zY|>)bPSGtjv-tNnMV6$5x84gI7o2D=?Yl+{mv*HgA)OR>%0J5$+s3KN!4Z6Ae?IP7
z>#C8z@N@6}XDnAIM~~!dv5cuvi(KQ=Vkj~!M#dxDHcRUn4x*-q?Czdd`zXU2yhE<>%egd}=-A*W*WY&JaXQt89}^*TEnUDe}8FH`A7_TBvJ(jBE;
zfHhJDe2g|wsA-yi1g!UagA3@J4m9)Jzv;B=l`&2SmWG%bW*@q#V(kc2{(q~5#3FUc3
zBkaa^em#)Bt&enG-*n|8E1z0T2$zO?NuX1coMDr~cIl0#XSoO?Kh(br0OOB0w<1s4
z_GI0B=B^CmbpHAE$z`^hb#j;K%H6GD(=GnVlW`9r@vF_C_{vul{kr;#fY{-xKdZi+
zPZQOMQMRiFZ4nJ;9N#T_KRM_V_jJnhRp7g^X7XMOL=ut2fkIK};uO&);v=V!XFj
zM_tC6_p7xAOZGkKm{}j>+0H^l8U*v#bf*$YlUbY0*DmQ1C9G-~JJ#_dS7)|y^8gn@
z-h1&5!+BD}o=O_;hG||ZcqSOqqWpx&7
z`?za=>k0s_TQBfGxbCXOyq@sA_6SPhI+M{kC;6&p*c^eOtGf5IREYUT-By6$vn;}9
zC!ym+)2Y;wnR40d*up)Y4SYm9M0VO<11y^(+Hoh(Ax)HUow|sEQ&Nq}L6wj(lnfYF
ztewBzS9t
zF>y$4ed_hv_a>i=ORsP2dDHs<(y}9fViYvtV>GW{_W0#e9^?M9Kd={{7;k7`kOe^a
zOa*oAgBT_clTml$&Z^edu8LHHcLCT23kebrVj%L3hsaK&p!2Qwy6fg|J3<>U_CM@m
zQ&mE(fCP+4%lH0my}4z4_d^o5=hVylGp0a@Lv)dyn|p3F!R^^I@1;w*Mn$iF;+laI
z)o*VB2ZRJ?TApe20CI|-|+%HcN)!;5L>Zra&*49
zlxpWS$gvr{+L7*xNh8WOHA=(t~V6Z>CM)
zn%$`cibC9CIt%=s9z_#pJLa84ZfkT>-2Qs~g2&v)2Y#E3!}p
z#d5D(V)W5Vt#uunopAngD3i}S-?+qeyhVklBcHHoUA8un;{mI=c1rcL
zxA(%Bu8XVdVK&;4U!v+WkWU6|CHC2WqFaOTx_xxJ%lr5Au4~&5f#wI)Lm*J@&mbR8
zNVw?PP))R#i(^~Dt~eoENG5x2ikaTDd+LuOVf^U15dZJI^!=vFXc>^K9={&2
z@-0RO@;h}JyWOgb;D1KAX=rG8nmnn?^^W(eCw!Bklnpa<1>6AfV3i`I{&o=?r3Pt{
zQb)YGR{cnR9x}+3e1*kqZGIyH5YYP`D3I^($ja?vlB*3`EyI07XeowpA=lT!7}(>&
zUe`FjaY2RE0C1;=v)!(YMH9TIof0)Ju0amv(soW#ZKBL!E|jogzS+OMnFu8eY0sW<
zKlt=(Y*Sd$w&#hHtU1B%Fgh)*?m*)Omv3#(5c)@bsm9CY=fXpW79^u&<~_+@K;~d3
zx~4!vMQq#W#%%QxO(XxahwD57d;Rio_7U^OQpCyem;lnQk$7Z7O<
z#a>`8)@;rc+I)}D=ZJgyG$kLn?l|Wn(6@y{^N-x->I79xYeMW5JzN*4E(Rk&3ajKk
zNrmTGYxWa|!>`r~p*h4*vpn1T)u5824H9JLJXX(b&gBpL0;YP3^q~O5PV07%x6)?D
zxj1GKfPf&7`xrIDvh%?Lob(G3DANLSA)V>^y(**+%RxK@(Yq%Q;ZalO<`|z^VZTpF
zT3@(Ke#MrDI95CyePuTd1#_O$#~p%7rlw$9f0Vkv4&jm&$aa%0hH4?Xh2}HtCvIpe
zOJ32kfHb$o^(e$#3`zuV5PXq|!Sv>hsmaaAqGhuZ|*%1z8RL!J&yljXkwCQ=QAG{
z;c=!oC$Cuj{Q2{sKzsJ=k@@|mZK1n=>w=+?!vp!Hm!aui`H*}})+lT_EQ~^m3u&J+
zoZY`TN=!^ncD5SAX1LsXl3}%EGne8jpY>rRa61rVD?k{Xq}y(t4R0IG3&zH|)_FzB
zt+R1LC=Ph79K;sxShhZ0qMe!Oyb>v28Hn$`(|x;e{O&FhRT;uSRe;s4
zTWXg=Mv9kyST9zwXfG5MGU`EOHA@0_b!x0>O@)hsr`&*p^%`C?MWl2rXMmYp-*xy*ruMk
zU}%^L$c|d;*5-OgZ*PL*D(oAr(re;ffFOfduaJHIz=L6~h#io;Vn;!jrl?Jv?YSpU
zRf5tQKqSE~;R$_#lSF19OS%H%@T`705BtJgW22XO*oe`U0?5t)@Vzy*L+t4~4L%?e
zI1a3GFM4f(f-RVo9|;0T>k2vFTB=~BWfY*)e~w
zfC3IdZ(aj*9FDQ_T+&ri`R&x603~37K$~CMOTEDJGWPC$;%LI?
z)c>5tU??3Ht^85#Qvod)&($UO7cx1WOQ-N?myoOcPd#
zN;#nvkyC|%_!8C#D*(C%1NL3Y0}Dcojn)c=+$Qj2|9Mun{oaF00*^AP+0&f{_)!3^KO3vXKOMT<|QqJq_I4%Ai%
z8n*2TT>S|vKg0lg%Ll7goynv8NUk<@V^;y|K^zIG3j-(A>hJ?wER4Zul{!otG*2gLhBB!_l~1vb8hXM9
zVRw_SNlw6OVqJlQ7zQ9dEXoI+mxil|A*)iwW397WO+eA16~{5sRtLZ_346~ZPBi)Z
zfJC!}f%pqBAc!NR4m&}FIVFMpgxxt)M13b{3z!kqff0#Lx-whm7v2*rgZ#lXB^4fC
zw2$Y&q(eR}VHXZycTr_9h5>(xiF~Ovla*f-qc;R{0Ds`G4KOR2Qoy{h|ulp13d^dLzG5`vE1VS4~3Q}zCDoS7t$jQ_MmP6?ZZ^{8@eVxb|b
z>+>7cyf7aY)nUtZDHZ9WlM_Bq+M6R{@)%D(i({n
z-idzM)r(bXBWp=CfbO6S7DC`U2Ts^!_cHEr
zUMk*o^V&*0sG-oyL-K%lV?^;k)V=qLwj>OqnK@lNTV6{PUbcDz<%44@SR;Aza
zC&CWxhGS*_QV#nG=LUb2EUEP*R6Wb@|B4cm((T5?jUmB^G^o}+w0kGNab8#b&cG5E
z{6nc<|6Zs8<>p!?Db8=CpiZ*K{*3RHNDlemV!)hX7%%tV?W(N;upsjuHNynY)-N7s
z0MS^BrKNwh(WjDF$SUw!jKG)2UM%-2;u~+2ozW~|xb)WQaih%SQHTa^f&9QMg@EgQ
zG}05LEgJ-!E`|*t*94oKPtScS3vmSz3q?)dBERPl)dl60&zF{5%YfVg9xUN=C{KQ%
zX!%8;2UcxuFZWQeE2AS4h-V|h!1$vqWJ#}0%Tt=q)qaVt-`RWjtIdx$Y7ycN14?w<
zr=-Rmq2zk)7Xu;dkbcG(gfRxNwg`3j_U*!Ecg1ELNahS>jn)uRk#{WIN9&5T6@LmH
z5=|PSm{>U^k{S`VCBNTA)t`$!p5FfksHui$a#x`4sN+^<0))CJZvnExF70Sx@?(NB
z(Uq-QF6-b1=yw2Ex3CaDJOy5L1aN?6)2%sHC>&9QG13?->q89Iot3j@Kbx{5RH#Pq^?J=W92RZLy)*IRbtAxiknl(s9$}3leqe)F
z{Hssmi1qo*1rU4uyj2vvyvy?eE8Zi@cmHG1(9NIJ3SoSxtbTOa6EqGum1lRZHO@TV
zB|k1kCFlve%`}apKwGZo4p~6Q_wU(+wM;^5mTsz}M?ROV>sU<1Mmpbkyi?sOBk*29)Fu1%3%K_+ZGX1waX2F0A|#;%=t#%mLX70(eTBIB`O
z>AVItgl}%O2_!gt-WQQpFH)k(vs$b2%BBpipxir#IAV+$94})imgUSP?WlC_+_{!S
zPY(}1wF=mVJ+xG*ZJoJSGGV~QOL;jt8i4v7>L;4Dd0KbmtTtn&_id0SV7;pRZk8oa9$a+?=`zVQY-*
zDu5Zfgw=XeB&^(0m$?TlobymE6T*pEP3|NkfGvTrwR-mDw!?w=L+e(MOg*r@`&KbI
z3`F5y%=ic@al}3l+pTx*Trdz=d}`DT+y*yq-h{h8NnsCZ_Z`Sy-uVZZomUpQx-gw!U$L;+OmdnGE?p<JprBPb+}8NgdEI2kA-pOXXtskKZv0SU{=bGcpF}zK-C2J!yqr1f)6Jt
z@M2`(2QXEr_CP1E3x-lA(dLy$&}>HOP!<+c2_foimk8!x?FwG?KE7ZFdKkcsUIdQ=
zr|kp8+hSxS1GWcV46vWZ;-W?;gO~pgdi~4rGSKT_x+fsvYeNK^Rl5+nXHg7DIuuyG
zvih{S+@GKM%tJi_)rte*e(0AYKr<~swaL9@sfI8JR)91L8rOXX5s_pf#?OH&SJQ(U
z^)JJPx4SbSF-p}Qg}k+M0qE{*sMZHos}OAZ`inNW#03`>%C^=f*-zR$fzy+=wzei;
zzp${NL|8^t;_P4zWKaS&c2lo}heMmYbHoaGNTuAN>ACDA0Vbg#xNHR!R
z?KEi%+ION=#1pVb#Ed}=XYs(JBMWVbTLu*?)uL~#It~Z39aBWA?cDFZym%=SKzhku
z=g7-fuDHNu94ja?D4s5!T-aKl5!~Pk8O%yeJrk<1^~^9Titdi&X^AU=9hO=ky3
z9@HI>fb;*{D}h{24ZOuSs3?FdFKLj00l}ROmE_OhgEmEs>xqMj;NO**Vd4Eg*!%fF7u38@>
z+6ia#&7Ik6V3f}ux$r`DMK-T^;;>pPT+MKq>N-Z)(%HQSg`UWfL(#ZY2$?StoGy5P
zY&efT9~zTR-xIf}WklTt2M5D_A%v2^boT6g0Ko#>#L2_+{w&IO+QP1^aQ_GUuF?Gq
z_S$D_K2ak=e*JsXQk*H|*>#bE8WUXShdcoK1?KRp{EUM8oW;qlzA2|O?{87A>fkktX%%H^1pfdA0!i0??J7H`X0qjtwG!J=&g?lJ(*;QV=jje}S=&(T3
zZ5MQB4VFnm$_@wx1iy)7FY_KeFT=I{li3CmC~9=T>H=}Dri3uJI!kB9FA^2!9^`?
z{+m!G;xyXW0hheqcq~o?eSEH2ZEIg-EvMI-Z}0${Gjd$&%10
z?Hk}qy?vHsrjAFpC{C~6SepqK5mR3%+l_*b0DCZj&phKRmvBCT4EB1IGO^stHxC;7
zvuv{yx&DjAXBqhK8#xhaz|U($K=H_)vI^}}%ePDcH2?ZGTNlCq+#X~5Z-0Mv7P#=B
zzMDckaL7G8Jl29N)T`_58*SV;r{`iRR7~!rbj^?lqcp_t-W5!5dmVdu8-D;Xnf>z(
z_5K7hE=X)#S;m}kDk-aASb$xH;{A5Gz?BR1Tzda;C>IFlOYmO$z9nu@#Y{4*KIP-=i{%2!Sz4LR%8Zp;qpCMsdNT$6Pmme!>=s-YLbXT`v%Q6C2vo;%-p#G>
za|l;Xq?SzG@;hOp_d0=lg^{`T_MW-6x5R1gaPN8Mio9nQ9Gum#Xi!6Ph&;8clR_D?
z`~b}IXBCge=L#)g-O~(MdG&*>sEK;vomg!koF(t|?*4BnX9L??TU+hYnh|#iVCL|!
z8v$6uj@s~pZy{PQEv-28YDaL|N7@oP3bIT6oZT81m53Bk^jgzcm3c)%g2n0JPTreI
z*F8AMzP!M?QhwsX_!4~9#?i$-5;dCWeE|xcIv_Ac2?k>A%1><`VXAR>WA=fp*JCo*
z-JQ@~G<+*oot3S+f}Vm*n#*X&!==tzC(4GMniKESQiHv>If@IUyU9#>GCPAcZPy3^Z!P<;=5
z`mRu#2x1kw!U-h`XAdy_{{A|%xdEp`0e4JOv0TGIscJ-tTF+UJDxf^dZJvdhA
zd@x79bTRVB(L`D)Q59YoQ+oP;p_6TwAM@WSbgX^kD59MqdQ#$
zO(b0J`m#)uqx^
z=Ndz_7JH2$%ve<$b!)@XCHxitZRSySD{PT;B^y`
zd5zeT2IuX)%jLdB_o1LCikXZzsijW=FLqFGX%ak}sN=cVa{
zqPn)8PQT@8+gP)`=bT<15UnO5ryFJh6^Wq3YI-+sX43P>pK2xuU>GG@h8udTF~L*=
zJFT9F3HkUuPb@1JxvwX$tGSmxeP?j#7U%km-jyqHj^K#(&S^`E#tlz8=w_
zE#6!I#>i)Bj=j%a*l&^f+nv>Y7$yoPtiO*SM|M<^<0nQ9}t!M{v%)IGs2rK=*h{ap-3G(mAC
zq|e{%Jlx#ev}QOU-0A3e>=cKCdK24K9`}5^xI>GP|9`d
zCAD1?F_~?5Tb=$ZCiPh0UXP2mb!LC$(fS$|Y?1n*G(>1#k3QC_NHbdPt;igdpJD2z
zP|T87I;VavQQjC8vzhp;UiTh3kvRK%ljqJ)TtlLQLaGaLz`I0CbpYKe9t@FvW7%>5
z;@L4M!-%`l7@y5*>ZRLh7J=W=N7@!97^
zMVBDAUF#W@&qTDmj5l0?MKw$=K!jNWSm80>ASvOsVy_Sv$Mkn}Y<}3|BTs-*EBz>?
z88u`-#D3UqlnJY~f@NH5u(Pym-dLSqMEpJ?$ZRV%mwaun8H}{-)q#kGJd7rl9LI+M
znm^rWpMf=3kAUbX5&}oUT3bXKfN3_BKORHYug)&$4rYsGR(mG}#{2F0`5eTLLs+eT
zP&ueMUfQYs+qdWiule7F{n300UUPM7i3^K>!d#3%rKH1|E!<34avEa)u;Xw!15+KY
zW;Jd9mV2e6uP;xs-%B4p5zw|WJBSKUa>~le`sW}*jNl7qmpDA`3H7;Z5fIfm`CPsv
zLPOMPC4qmjfW2dUte!ziiB&VqD$-Kh(!L)=W%Dtz{kK
zXO^81WTaW?n)nLv7(ardh-p
z|My%h2LFM2yfX-6XLus`HsKg*dk}aeIc4U*o|y0YxIlVk9wa7B-(nCVRR}Ha3V0h{8d~5w}bh)2%KKYV5ZZG_|5JsVAmY+fH?ijN}N%!(34T=wAe=
z-L5asxMTr1yYrwliEBMySHbN_G0q6}8alZ7tpdvOps+3jA(d+*k`>wD
zqSYeM?PG-ZL47w=Q>!P&sjvbzpuQJfIpfu*z{6E4ROnjl
z2b@)iRP})LuUMvqychBsQt2XuL%_5`CJT-XP8ieQ=_!ULW>H^yYc%hTFs~g
zMlGUzHrOt!xcG9&;200E+>0M~iH%Q{)B5K)Q4ESA?}5-prhw9Bm2JSL5UH
zu-t3gzk5ByjIPHj{K-5Kqj^Jd8h_yQtDcjpj8!(tjysN8^0DouNUN+ZF0rg;-ebSV
zScf2DJw8CG)OGzdGv%YBybd3J?k!2D*ul!eNS>}(OBF_Bj9}zluG8G!O7e)WTll)*
z0zh$7rj=E3Q~J8NMW0X8a%q$2g?tk(v<8D+=ApsI%s(sX>+5qmH=lNZB(w$$CJ%%B
zirJgOLWUJ~_(+A<3*(ZLC}aH$DNbs3_Ms4&iLCd(9&!vo@*M~tZ-`lpJ+eR2WyDB#
zvNJz_ald#F+z4lrv^7#vf|Bgi(Qh6YAaciiHdg%oyNaA{mO{0xg!}>CL(0MId$_o`
zn3!Gy;@nm4?HL?Oqk0$2TE`mWBgdi4ycdi6qlP56eROjfl9Tu0lzR2ZsA!eevE3g5
z)L{?6{EO3p{t=3nC&z--F{R!K?~X>}N{p!Zgq((`%#Wqm9-4*kr|@HBNxD0TSy#Z?
z`buS!QvnI{&jUpof8RdP5b?t}Mi&iWJ9Lf$s`R%zW3n3*jF=ACuD=hC179f=4g3|U
zZ>RwFwd5iCf<3l0Amg35kVo;gjth0nTaW0GjkKTOO?a~VrxJMPt@D-PYY%-
z=#O~q->*afri9N%GdKV}WyEx25G#?+OiSMEPl0deH(bUM^$y|4
z|8@+L{Es+k6trwXVQg$cXnuTHiimU(Ii`-*jwHnYY8!O~rw{DuZVedaATx~Om>>Z+
zrHI%5EoI1@sF~1@9cE(xp6nn!qyv}^RB5`@Jod(tI00lKi3Im*F&&^7v0znLHL&iq
z)jPPv*#7+h0!yKXu4G*a|B`ANrcHDlUSmWZKY&$4)ipvf=(h*4lxYM8M!Uh^1Vjmi&;{@0&C4^Jq6e=Y4^vg7<(|hKlnu+(-CnaBTs6fA!f;Jf)mgHKh@ZI8_wG55J4pZe{U8imj2Bzt!Q_@@6AzW2&;Iqk
zSD~+slrddHkEU(X@;}CClH`HikcHyV-uVsG_=`^i1c;xZ-lWCO9X?hS@AB=^F^`3@
zCvas5>el-Gp*$nUT?Kb`LC*ACiUkkX)Mq%;B#C!V0D$+%zmRIb4VdW9D*8a4x>R#j
z5*29zeUoATg$!mUBA1qy*tyl*L8%}2af$OI?K0>-!yvbti3xBbs1xlnul$`?v9%@z
zu#`F6|2PH|oYYL|{52^52q@w`gr(%Yf6jmz+=cVA`x+Gd%(jI3h#xorK#SPeJLurz
zsjZd4mk7o2+jp|Q`RP0*
zRAhZq(TU2-%aekDco5DhI3mfN?MR86X42
zqXCkvY5DPk{q@bJ>B2m>6(?X?YY5xR1QiVpjnnz-6FK>x6}AQyJ_9ks1l6X$FO`FS
zuZ(LG*i|?kl$4ab{@mjUx<@aQb(|+d33cztB@QtIJ{`1dq6SI@uffeSxu%lh;sXZ;
zAO{Nm_U+rVVTd)I;sJ^Aem6Na6$GDD^T{u=>Ue(fjis)V(gsjhkDx#d*S}p@v3a|6
zkZWely$?37e{B{2CY6+UHha4%up(N@d~u?Kw5ikO>(dvD9IxAaf5pGlPuPAUVST}C%A6>FixcCIE?4+?=Q8Yn3$0UV4Er&|wz~2$uzspm<`879x1t)AzEtaG+f|2bEx8{kk
zKff1yehw_Ry&^Sc5D}1sBYC=qvglOsf%6CltI9#r3NXdZs&HQE;IQKPk&Q(@@gXzx
zR>UHGoAR&GSAxD!b%6m8wZu0pn64!0fTbzm@CQL7|Me4)xylE?ze5zib6AO92rgUx
z^Waf>E=C0$^Z#Y&V51sMC>YS$fxHKbAHpY}?As)VN)OJzULHm_*4d(rQuM^pqCy%p
zBx?_j7RwSx9tr&#rjI2(1=#X9b@OGLz;?$!~@~^oF(4
z4BCqW!RC_ew&MwM*y%%xywKwRUzcw
zfb7m6K6_My&ZlVEf}XgfWDSm*ld*=&&FJe>i6h8S_9%c}0+c;~4z@XfzQ{*)L5b=>
z?~ISz*Vq$+8Je+rtq$l?p98Q{XO*fTVKoPe!@aN@s`ul8a7CU6`9BR0(dRXFoS2R<
zQh>8($&&g`YuFtz%nO3gXMKjNOatrv+dfmkh;6=u%LGAiNt6$w<=&gC063b%cZM9G
zPPiI%4`1%`{x!@`>j&RI!Ii
z`hU6c+WQ^{0!K!c}vP!2ly7$FkS5NSWO7m529LD
zxsKOPP|Ap(Ly=nRX#0MJbV?5G68X
zHPAvbL=&;3qKO7$rUnuvL&_LC!%ite=IK4IRr`7N_k7RyeDC}FeSduWA6wSC@9VzC
z^E{5@Jnpv9k|~-KO^(|0gVuj4ixI-96NF7r3S%U3zC;@ZVVh%AR+4mxY$i5{S$bMR
zRt+=^qV)EdwzidTPf^bs&wND)J?RKOPz}+VC^qh}*t;VE832^jaefer3y{rfMQZLE
zlnXApxa;T+GQcT$1NFJZo=7ycwF^o3gVXv>q3(WRY$8l2e(JYgyET^`oScHuXTnfa
zoJGpNe*JnI9O5kC)i0nqwgE|@0IkcV)qAzhE?O%Oh(Zup#W{o#4hIf|U|)A|aXAOR
z#=leP?(Hy-MYzo7tLv5Nba-%8+3!+`3B6~TsiR$p=^5@hnRsr!ES;|6+SK^yAY9Gd
z0J01YKUW`aJKx$NT7<5=8v3S4@a}JAa9G&GuX)oSU5z4m7UDaE>>MbB<9)K*~x2Ca8TB!AJ`7z
zv?79#ro)EQ9k)ja+<$uH=+S|*V|9p3NAJF}U88`}@j|NFT4x_0ia>0jVUlEPEEenu
zf5kCPLaP4$W1E=CCJh{!6#a4I(-4Z8`$I*&jMz&eol%%cTi;!
zAe|5hpJm^mcz_m`bno6ud?T0Tb)aeK7Xr*B-?S2gjeuXf&S&f$x`@To($hB~-i+_P
zgT5S;DJWfQlH@tfT;ZdUd|I7f+8fl6V~I4eYOMX$cY|UF6V_n@s;7INp7mDoOq)VY4hutbS3H6U9=xCD(l0VU(TFkGzIKnfYtOin}
zQ$#kB5bH6Ucn_qvJwZmkbi{jalM*gz_<6quR4AX_78y6F3JrHll&RsuA48}qj3SxC
zKC*HFiWLFI3Yj(ah+LCBK(f4}7EFZWV9mYlEeE|l#L&{R6TS@NyD
z(wi=c!$+;RhZcl14p;1vIO4sETQ;d>`JS9+13w^HJ*f6CN;o5WWpKe)e%BAZe#ivI
zFSsIvAZP%P(sNiS13Nsc^reb0gT)rDbva9*0ZYq<@Z$G~u?Vheg+6)!aemfNOGwC&
zt?Myt7T8GQUgi*3aM5?gfeQy3djqt&R~|6?vzH2PUp8C%0zaerPLpSvh;-q?b86PJ
zj`aAjKQWxml&C8z&N~|+^5*X`pGy$FB8)rPj~*bf$wEB{u!dXZ8USQmIrpvE?Nfx>
zXnwxMhZy9X!1URNP#%Q^Jz_oIpU){qX^|K}&Q722Wo5@)M>Q^iGLkty)+$yEwc5U>
z++&-%t*2!tLduDWR{jvZs%UZlt~!mG4sXdpqZ&uswtbiVi+Pf)Hn!IoVk-aUfowjp9Qx
zra^G+BlCD4Oc9rd)|Pl$!LBrn)JMBvjuivXGOwPP94nt(49MzOO?p~dAx<mSUDCIc-=U8~}qahP{>*OrX|syUjxRY_kwX;|ky33L3UiIBZ0
zF-)UgiXu7!iI#iEn7topa`@@7K;BBYVB}qD%e4^s+j`HvUMmzAV)_e13K0fL(o$eB
z+rH;-ESp{6(fR(k-68IUvf{E*A6FfX+NwPfp%XBcB1zB&r^73}cuft$O~3i;ZrnC?
z>XE8$|D5jR{-wreZi`ZzW^QnoSR1+jKJS{$l*mL)5_Ae#9s11*8v!|8iUNdoTRf7ZAMGy-hU6jVlRSYK$+`A|bRw|Lpp1-+bzNDlBVW~U
zy3~T{CpoqoiVzBgpq;sdIj*FvT!e~3(j3+z*IWfUomA;W`6T<`DXY%fjM=jV(WCo2#FDvZR
zF`|m%qXk4Z&D?!WrS_po)cP;d^pPoAr_{w97E~QDP%5
z>h;HotnU0#8{{$%FyT01-2LaXL*^X+e#-6pQ@)EnmyY2qANrA`xg>sa?9-jzkkw2$)KL3IuMlIeYuU@bT!Of>$=wSYbV~*sFDil=2si1C1a
zWAO`)yk3d})#pzdc&mK{0x33uvp@Ol{=Mk5?x`sT3~N+}e323QkbCU#!RGwD7rH#l
zc11RX`tE>jQg)F5RqS>emyZ8`FR0L)5mla-OtPCjIjKuLj$#za%F%rCNWz-)^vL
z${jQNyO%1G!^MCcMaOX`M^)@+Pw1G;Qyi(wT}PEHqv)0HSMNIo2(}we-=$}vRQ>om
zkA7aXpy;#6@K}k|NCLS
zn~^k~8-cOgB`A^G&v#AZ4$wYzZ^izG4`SR(S59zU&=Q@~zoGfDw?g%%b0)g)xJYiM
zcem+kf&1_2BAb-ghu%1?lP)5v*(fzDhi~KXg<0wOmpr(gH(KXS&Kh#n-Z^vLg?W!$
z?mJIE7R!4olwS7X2nl@=ZOYuGiNo`5*@g32w#nw7GAh0&SKB>bs=xi#ndz+Q(=G(o
zXGGbdX56WBJac_@tJcMKOY4`9ZT#0pYL)uUz*A)mleL4h5L+7MfGzjk*d@wXkV{
e6i?=Ytct
zuDO@4t=izk-YL}u!8(|xTT~jDofb>NZsVL
zdX!#Ml-MoujsWC}8bv%jfbqDYw#&17RHwbAYYr8yV$-pOtwQpS=gVtqkXnYDqYDYv
zy_!h)Ngi7WWIgIx$8YR;f6}bXHEV^@A76O(9}#)^MWjw9zn8bVMF9yRe;CoG9M`_@chpd
zKSHmI;-zLv{q;$-^v0T#bEP5d{CO$EKPcu$fC-$2MGCB@_N+tX&uJJ?YbtsEuZBgC
zZ&n?rZdB~1!jIw^^~p2F;$Q#v+pj0qHhD(-mwURm@J4~jWYlB+U$-h=5mPpu$&7T=
zWNQ6&w`w&!wD9cg)m(Gb%jN(JI_bC3MQV
zyl#q63ahO)^UPvg!F?8Q@1`+#k}=tj_M(n~s)jP^=Z6iRQ2+c>@l#a%)m?rBSxd|CSV25SF)7U2rDg&t^Ksuau6FRRNhLW6i
zOOw(3=Wis3Ob0~p^PA8uqC+UE7rjBsXP7&I@c;Z;N)tDg9@Xhj?u}U!gzr#J;4>II
z(NFV$8!%Rqaae&rq0r8Fw)0eD`MzJ1`NrT>aVb~o$sv@8aAx-nPhHLgZzRJVO|i5~
zJkm&M4yT961*5E{T|#35RGAbdu8C_B2l`}X^c&|6A4}CKW0WybRUnpZvbezu{o^-I
zPjC6vFaR2i>@*2R_OBZi67Z_}3Yof?AHtkR{HswLKlA>tmnmJY$16)7@e0;5u0%2J
zO$(#_tpWHt=Qpe>G>%NGg#jGxx;nv
z&8ORZC~=v_X)`%9{@34dRq{6?^8VXZX}FFhmlAPjiOvSD%2b`jad?Js@mkhr0IX>q&02
z-~pawp1=OVyP5WS+M-{*j~*xk2}VVtbc?)azuBRB$Qznp@<>5^$H~5_bloXO+SOywX@+V)_Y#
zzdlo1B0{*1cw8FGkJ7g#%NX3(O->Jh1N`|LsX&a>`*jx?+FWD(`g#9s6t;V6Sp=D+
z060xk-g8s>WPc_1gk?CT_m9hv&0?7uuPi|aNqc3a4&dp@Iz%CT=E0&;5>sWK&b9_e+{2+Dyx2THq(VL2xX
z=QsPbv@~rXK!jl<5-AJ#Px*fS-8z`$0o_6!pvU-$V?W7fks}HF_iy)~4@Wc-1b9K=
zPLMpmjAoGLzAy*~K^@Esq}##-utcp4!S^n%wJo(>gWUaG7MP(HC=XH#b#H39OE6=T
zF*$(Uja>YNGZyfTp3pHyBasS^TW4jff(=+e+>=_qJ}N(l*8&tnLLqFLWccmT2Nbrn
z!r3f{#quA`^bdhdeemu9N5>#ggR4l*^?nA4H4XvK6-J)!
z?2ESubbHF7jK;7Lsv0+V8Wizq4m~A!)^ZJ%`Qe?$#BwuIGNw#N@;m^%lWh}{o^uZI
z?&KZY@hyF6DGO@h90_Sm#C?rU`&kQ
zZ-lc%b%6~b)Aql%$H>{
z>cPXpX7Hw^^w!YkM#(oP$DWAW-s*ZcCr9mZPL4!O*}#Ub@wYz5vEj{&=?D}t+J`9$v%dlTLkar=RYrHbZ*-n^CB|U$h<*H$$^;RGvM}w#`mMH
z8^};7imK#hZ}|RX-OwMWS|N7|{og@1i>yO?2|uSXTw-KCvC(uMIW@N2pJ`Ur)kisQ
zcd*TS9&;7msjy3}i7o(+(-m6A^n2?crzZpTJ$6cQ0V?D9F?)Y|IIgk?c)=+IF=i-=x-ME}SHWA+V4OnCWr|!Z?@Aw=HeYzW*}aSG
zwz9wf>B;w74iqf?(y}nskP(TK_nCZ=$=;c9aEBGhk4o6@Jo4*ugDi5fNA=boxPK0+
zcVe>JfD0j{$q)$cc{3KsvBbvy;Pac4pRL;M+{|~FKz=YAX|;HK#PM~^+SHEmS6dHy
z$E}(t^3^j>nN4DWWq^O2mRes@tmtlRb($D`z3Y;^?R7&5tHMBU^K?}vUL^7#ATq!<
zm*R>Eq})`a`th`23-M0d0NY7|t>SGFc49T4R9e-VhYhX3g}c?+U7Vjj**yNCd6w5*
z!WSRJj#W{ecj<-d+C|3|f~SRgYo<(riGac3le}h;6wAF|gHKo%_~L3Q`sCEB2^VOe
zjr(($1W2ejqcIPPg~1j$&3qH2P+XGnsRt{(x2w6bva-+X)0?Y6Gx+(77a!i-2=e5C
z?{F_FEro25Jx=NN=}0&;`|)vb8K+WG2fn{H(Mn`V%gWt0d)z$wXxN4(s~fj+tj{o-b~WsL0}AVpdIx?rkq?Axdq5Q1L8O^+g(^U*EdMfJhjq%NO{!C|N|!
zO6~5|H;gxiO5ZNLxWy&j=2>E+{X*H*rI{Lo+3qCr)0dzO;(ecPS$g8lA(trnHjj|qvImk)aWE>8o=3{K=WLkE&(A07wMS{~_O3(rZ(>dTvGWbj#jLqI0dfPM_WpewyC2(|{>9a)Wm!)Tu+>LE3BAvC+>GYdJ
z6Pk-V=pDudwA;77YPW+g3&Ck8g*7*yj92;9d}zp9$y1Yqj;IiDsF4t$zri2B5e(T2
zXbu=CTyA$9korwtN%qAa>$p?9
z=F7CdIx^@7W@Ng2_aeE)vTZ=fmhv#(DOem*tnP^YI5BDb(qYiI^M~q*WwQSPCIhb2
zbG6%7irAUZtnD$?j_J;cJ^+H~!Q{kfF^sxoC+ho?2QO}WkQh2W@5{r{R+FflNd~QQ
z&nv%#jeak$3Jqt?9PlK&H!Z064V{*27Lm1K_q#bDG3
zB(Vot!a|@Qt%T?tD{CIx@)Z)>cG3O2(KF-}E+($Fw{wptN-M7u!PaN=xfW;o^ps-x
z%mq0DsS0K+vkq^Htx@emrTIuJnmH&|jO>&-Qa#8Bqp@DvrnBZNSMPc<^a!UOj^QBi
zE%0BJ_MWs!QE6Xf9?Mg7deg>n%HL%>P9Un+2rCaJ>acT6n}_9#_9^euO^nwZ5HuTwvZv*425aK`7nTr(W)c46;Vp61UZ
z>I2r5jt{iMX97y6=&MH0J}=XN~{v(Lqp<7x|G(_6*E@888dm3NqWkkW&7
ziE_kgf%{5#bfg}JhbKq%zcagYKG-**g7Iqlj_pCs4EJxM!P{FrA2iI|zS?@m#sH;L
z_Xtx5Y8qV$PA?Y(^)nIb%LUw8@AqjI61Vo-XV!ik512VzKIogZtjB3!&r{>2uX+LA
z`6Yyf?6}yi`Z;a1`R$(a8N0T>ZZ(iw>(_K2WwKS!bHw(t@{lBQ#d@
zC)D4FE4mOpGO_Yp1`pF43J1w3W~D=<@55~eZuB++{Mj{L;0@{ztI=@*AMIB
z!(X7m`1MtJb55d4Zo(F^y3BW*WbJrJo7#4RC#N+T=?>ORPI`%KHgH!;-*tk7@MX^>
z*`vB3rEr%R4D^$XRRj-a&Ur8ntS3&{SY&ex8?V$6=6Yu%iWV}^5AG+?EC2XA$#&6}
zsZ8&8R-N2>F?bakkuIukqWQu
zLd<26bJST|`!!^S*qcpTCAgR^)0nb%6BD6K3U??+>8RD=GG%^#HyqzDz{qaJN2*#N
zXXtda)_{vg5u^kM$UQ*2jTw#gUMzrijcBHbeuQ&5(pHMnQ^kl<6r&VbF8(tyq<~jZ
z;drwHelVjB3#|^^rmL%)3vYoi)}a~O*w@llG150fF_q-!=;(N>rxI^+Sc62svhx(a
zL9xBbsZCMW@xmxd=kt{y4$+f}|Qm1qQTyzTak2iTJ2oLyb;%$!@>U(b4hJ
zrx8KOQIe{-6)zD&t?1UK8gCG{Eig#l$x(iTS)J!6_vAbH8NL=G@nkpnc3L(E7mU3s
zko)41F2%Sd`=J0xr2xf`(m)5o?2TVQq$!j(2|9niHB9724o*VeCQqC;iz1i*-V)P1
zwjbh!hcIV5`Yo6U8{vdJdI|dcUt=i9&yQ{ULG$s^BAl`|gg2|*d#1l(k|ZE_WumTj
zArW+frrZmr?0CaCsPG`7ss!;eePjc}+4fN#Br+oIF}`V1j2qEa1q<)4X&UXWd7@VR+j)dCs;HCYm28`cm}04IMy
z=@gNroE#*UYl)yz&Oyvdl&jYue}GDdsCn}H@40S*Y<~mPLgVW-VYD1XRD95bE=1)o
zC!He_Q<969t7Hq_MfBh9*A1x^`cz7z2YEetqEY8ZAmO}VWgjSxl_^v}OgML6Y>Q$G4m7>vvXt;)&ei
z!)0c2Ydl7)o=znLLSNp1t)3)YbUJZQ_l#-Wu&@AXi%~hTzw|2?NMStk_z!R0h?5Et
zAkpbiPiJd1xIoiE>QlNgn@R3J8>W9=2MlmF~aZ@>N*`Q3=tyPZJgy
z&lcSmi}|fg!ZIVgLIE?*0@xKX>UV?qVW3Xl^IEi8PiaZCeVgQAzjB`@L1>dg5bO8j
zPj+1hEbS}f=Ol+BEM6<0`~BHE)ZlOuLZWesLy;3Lm3_d7X&{^KZ|Y#lL#4OK?}_?K
z1S%{|&y&3i0hnm#Dl6C^J~z@Owm(E8mem&dyLVTLTfJja5mMkP`$^2S4P>=jAQyz=
zimLi6F+dxLDgvJUQ)wnzEB*}&+y9}KUclv@}4Y}0^iNvkX3o4NZE*~Bf
zezt{hvK-&j(o`(1<b&L{51h5n7znoEWMlYNCaT
zlE^tnzQwCm5_?S>ctcdaf4>0xAxfnaH2My;88)H>t};$A!|HPJ@zHN)^
ziDck)tg0g30xE956ePnwo!TUO@UekObU
zurE}1-lCs!9vK02BqBcUqv2?Zx8aKk=;n0_Ez^e~0uF^*!cV;+JtN}QNk{y%`S~uajJ^$=M%eJhI`w8ek5A$Bg(S2kYz_M>*~|cFf!}jo3id6g#7(c
zo{&7fn|n|%2nUJ^y~)YvU#@upSR;@n9Kw)r{;({7B7oqM^lQ1t6fqPn&aOU|+S+ov
z9xF9rE6z==!LUPAv|Y|JL+&`ru_3U7>ddltl&ho%TgPDRAyi!EwbfL{Q5zSgOw6KY
zuBFYjBg!eFAtbsUA{fG!$6{GP@oWVz7J{7;5j?iZ?7M>{SG`c(E>7o-JJU)uQ~<{E
zlAa$00u|MtkMj=58PVwUG#)PRzwG6K$;#0ZeL}L$Vv*7TAFfyvM}QMP2Qvy32Y&uv;+uaTP5r<7>J^C=wR8;<
hVg3L5A9G}2l2+WPFfAiMNr5y{f0Lnhiq@W!{{>aL?6?2`

literal 23116
zcmeFZcUV(d{y&ZlM@8AOA)w+cp*QIw&9aD>I!Kd_28dDx1f&LKl#%M(0HFs#dX?T0
z5is-~AQX`RLMR%V0YbhfpgX&>v-{b7p5LFpc^-%7=GJr0`@GNV^?JYVeg3nS>e0g-
zhnbj|jzTy8c8iH=zdsYxKBga-!7rwDXIa1>=DX^ue*=HPf7I($Xz=IIgPTUKOibqj
z8UOZ#PkpgwV!FTt{q3sWqxktz?|3T@GrlctH;CaG8Y?FEnI;pEGnRAJfOY3C)eAl$O&8j}RbS-`Kj7Nvqo}Fj?
z|Nr;@Q4bhr6b+pN*YZF8=n-6$HZolUDJf6M$lZXLN{D#~6ff0+AS@%ZZ@peO5$fB$MZ_ylEaI?Ahgw7ykW_-
zzUdVB;dz%HjqS!1t!T9X+414l_Ogc<(rexOFOZ4*y9OROGxKGpowyQMBaYA4&Ts^G
z%q4{&${cSrj5}{%+a{T@;?zv&v+Ku5hUn$6%wiS!n@pMmPX##lUXnNUbArd-FJq<0
zxWRotlymQqGU95nw9?LG&EF{VmSV&VC+{99Pa4bO7gzd^cg@93YsFd5@7WJ_6x=y}
z1+&_MsKeGDtv8Rb$~_`wkywB8B`)z+9oX$Z`Ro2JE1Dn7ilACD7d@y!;KvaCHtt|n
z`A@IvTBmwh3OcxDZ|e=eRJ4()+SmM;6OPA{`q?#F{jA|$nG#iSkvGmNd+%M|fc#|f
zDVX@k`g=)=&KMNfVR;zgpGMw5%!sN3gPsq6kLH;Fzwz9={TojlKHUnG&+_
zdajX0&wFbd#x)I6TV7_#N0xfcYNnnWzP|U<;L0qbQ;qgRl5&gX$*x??;$OgF1#S?N
z!_nR0yyFu|LLP8Nzi={TX5@^s=_C8S?8-0US)JVZz_!1;#NK;_q8dE{zsmbyrk6C&
zKm2LNI&}R9urF*r3Xy)gsaD>O^CpAhpOP-?~92$lC1$3@2
zKRNCrts#5c3|80+uF9M6f>LLlZ$3$Nfb!HREBc+v=&xU|z-$Ol%WG3cperdG>?4yi
z+uZM}@0R-@KN>888#X8VWt~++3p%Xw%73*+wUawFC|@Qv=x3I__yYDE)9$pqmAs@)
zA+V1;n~q^;iF)J+%Oa>>4n?3?4kh8etl@EWN(Mqq&83;cS*-Iy)kd%G92=w2xfW+c
z#ah4Cxprz(MjKYsc`ELdkF{Frbr!)sg7{W=s~KT&zgz)XerSaeC#t-1-1v4#G^n)_
zoPEhX0Va7itd1LVPd|9_sfK!kV$;_TDao7GS?!%-zYf~sc+k_}Un%O8ln_QeWzFPLKU$e8#zk~B0HNeVi16h!}<
z*Ao!b!Jb#=5E|Xhd2`(JmrBQTM#`D>l$@(k_8VU8R%+u|5;uDYvvH^17jPT43v82%{Bx&1vkagkOPs0|VndANu9>Ze<~XUl7+&9b%;^eId>N0YK8zbB)xNo1
zHN7UamfI5}BtN=h7!_wLv6<~FTC|_Z-^N~@f^1l|a4KI6-F95Bs`FQWBV#Crx5LCM
z`ha`BF<7BBOzmSI>97(}=O!kKTaFn=ZRMjdq|9(
z_L)_;sH0PkNR|`kZATIL+7!BUA88^^nT|yShW*8(`Td3fbS&pbkEZtVk+8xn#7AO7J6}F=%lFguR?qRxMQwN;;n^Jh!Vy-s%c#Je5mm;K
zj!3`Ohu2XTC1xAhHTW(IFvI+i821n^CNPY#zyYZ(lj}O>GGS2emjiMqbHgP
zFGw?iWcurZHnQZ+52g|I?^Lr)E_hnv#
zS$&Gz9~|oM?AY<4Cp)EIld?F0lx&fF`@;ps&rz72``wen`qw+#5=IiUMAPP^Wy`K$
z+<5TYwiXLN_rdGYh=hs_-8*ROidR`}iYp<*(Q_-h!E;%T<(d4Vqvj4b@6%D!Y_`ZO
z$Dvx`p}bVJO$!%OCMFFvWxSen0*<>zpyayunVnJTa@iSOCK0|r-?Z5Sa;rb{N-sDQ
zzJ;;RJF1aUn=%1hX51U2)pi8do+vs1h*+XXUtiKE~)$d=3CF(}LGaDKu4xSC`
z^z0KmU1BuqY3QJ_^r8Of`b+_>zczWjd~nFDj}Dh-5kxYx_#JKhUgqRE=F6nH5)@V3
zR!fKpt=Vo}2i6l3DiN>QcTi>ocd(>F&pkf!lW-rGa=#1B+cX^Rgl18hl~bj|(PJKp
z6&ZOI+UQ#TJV`^k{;-9ypq=X`*dtWs9jwG%bqgJ))>5`mOcs>he6QNq^sw#`?W7mQ
zl4oZ17A;`?WMia{pV;m4@(c^fnRqi!*P)VpB0OWqWT_x<{XaET_Avt)F#_kMK>OZ-
z?2s8t-?QT2jDH(ye+b01#|L*Vkga8qCVjN}%h?>v{=eiDg4l?Br(d)9s)}*}J4#8@
zf<`{(TGPZ{*9{vE*wo7ijpii`753i3uZbrO*9`>)~S$k?$LHDF}>hRzycso5b{X{XZHXF&Z
z11~iVifL8W#5#1r_LgK7QdP&SM$ETDX8Os~;NZ3HQ?1z33$9F-h5von9MZj?ZPKm<
zAVnm@KIj)5Mzi}KKCbFF{dSRxMf
zfa!5asL;+)TPIFG--NRWbX2j3dumQQZ{&P>qd85<)_C^yZQn0V!_npw&fTOhNUcU9+VW
z^~KmNeqB1JP~N@hV>atCa)7Vql|4=@zptq+(ennRKRfDT;-GP#9?r%yPAz4B^Sb@d
zTTP6W^=8BtQX^99n0_x+vI?bekWBiOF&qEev@>gEZCvE9{||Fga_E&6)9jyu2Uj@1MUP%uV82#<%h#qpc)Ryaa-AcFQ7
zfkk-Qz~->BCM6BQrFqN4eCVF%jho+=CJYG)ov)drI&mp&>%tf~r1c4aBl>W9zSlOj
zq4^+OeF4AEuDGU~lJoKSMbOihC4oFtA7(s`26bpk;I5v(V*)Q@wz@g2l5ui)RPhnD(9*-kc
z1(LPZDVZ#y<6aj6bQC)|YS#)`Zm>(6C5j{b!TCvh0#SS7no{J4lxJ`;q-sPfQ{wFPqM&5
zy^DL^+#zD(FPbXL;Y%Ptc|1nqW}AXIK3k$(iadpESvqS}xBSDx$mK%6TLBDU_ZRT^
z4+gK_7+AM?Vd|*`dM^fn;-gMZkO8t!$ZiSeMH+;4b@+0Vi5$Y696QbRZ@96%pO2TC
zhrps!IO>+}Dz+
z`(?hA&*B{?!jfwp;ZD@WDg(EZQ%f3*5pPa>L8_Gg*l|uY|6J+NE(%o5^!RM)`}4~V
zdsnVTu>NpXZM(fL+PtUrm9r3JC9vk#My}OaZDJh>?SnSG10*HEP`kqRo=P>%s`gx;
zkjU!Jo^4s*cn5t$VT<8G8KG_qW4n{IjYvNa{hGpYlHthaT2pCb+txJ)4ScDEcARVY
zqel*HH0?`O04Sm7mx4aV_9@?{<7OmXpVk?IS$1^xp|^^@*(DFCd#!FOudJMYFmAyP
zqGT+4*sR;(6e5|GsU4gYlv9-ww0!|jZu;dR#%Gm38;yeLFGxnJzk05`-yqx=$VMz_
zQ{E!Pv?#wxx6lV4RCx3+bBcT$-=saR%aU?a^G>m9CP!H16m-28wOo)5{dGKmuXwU+
zZ2GlFN28TZ{k#SPb@DqeJa*M#)@?#t_mgLMjGHbjdyGK;
zYrt<;0uR23kE&l;Qogvg-r5vFw}Q1pa&U3=8fKDE;%_8m13?tbmi;Y~&vux=8(U?p
z6$(~_1}ckI6A?JhWx!$IBDl0E5z==>wO#NWtB&A4I|%~-w^`E9Zf)B8(6?prby}2X
z2<1r96Be7PjZFky63@k3G4;dL5=7}kC`XV~F^=I)P||1?cM+gX4DLWkl=C~rImPimUb%R+
zNZZF$$CSQI=x=J2}i8vu6z|!ELFE}axP`x%zS5{$o8sYG~rba9bgDt
z9>5F?Q2KF!KDDup`#crb!ZB)2Pe3=;IEl>>@*D%kE!5Yg_4Tu+B9qH|e2rYT+S|$iiDnLdr4U6?RnGTJ5YtTjgWiI|3
zfVq#+i5x$texLO=={?65?(F24E3ME@UN4US^Uau@VBzS>zbw~>>zFsK$&!q8zsLFw
zFMLO|rhA!H@1sld-P@*~%9`DZ?34DMW-k#R%^x$prGL4|nv2}nv6x&domy;R=)QhB
z)H=bPo^4*n@95qf2C!v)fQnmWZ8MB~tp~-WE;!tv#}%{F1n;{7-cpFHn}4A=t+{FX
zbJlDpzF68*lwbeW_}%=91^q1}!9LI*taEEYb8})M{Y??)3da
zzlNNs(~R}*-W7eGz$^e(qdFLZ)gM@n>!C9mKhwujlgo#wC+v_m(`+rnrbePcLYet<
z?tpuFtvd6FLkyVJuNRlPX1HnF+$rkrj$O@u5EscmYj|s*4CJxN*c`j;wYrBmZ1Ip)
zUEchn!^3Ki?l0p)#M8|Iyy4{B96YiV3iWH^RLaXv-B?DWO6Su(Fyrc}95l184<2`B
z*L`P~ULCKIU$oE38!GDH4~iQq1<_WyoR?e);&3B6ITlv+E68b&sanbprKZ1?d5r&!
zDK@MKqacPaLr|L$TsK`l{P1O|!*YD9i&VwXu8I@(caaoj@tcN<1Z~PBG#2~i&{vRq
z?!2Wj$ZyyQpaQzN*Z#Ie4MsR=P}(8$NK!l0p-s^h;Cgxph!CgyJ2lRK(w^y@H=l~C
z%?W3yf}{u3KyETb*+8JiXgNGyKN;2cC|arjevn
zXd49^B4QFOaXTl6{0JV5uVE?}<5SFAiX%ORlwOd$`Gy3*-dIC@{64VuqW$We02XDa
zsIt7Crp)++<24B7Xp;QlyPXiFEB4GLLl=8-A^Hj080902$MwHcki*Zw4-bU0Loa}4$_WDK459(A6{WkIs|X`+(J4;-JX{!3x_GR
zV*N<_@Z7EQaU(dMrJ~tM)G&|&d^+Txl{FiTosRnwBV=2&O_sn<+XpvBK9Pyr3{ppx
z4k=$(^W%#wHKJ6dmDATFd{wbqexJro3rX4}P9ia2)%l$UVHIFyN-SbY%|#`InK5~IHTK@y@Pf>-Byp$%Zz*z}VJnuYtD5fG}hqId4pdhMv@q-^)LEp9hpvu(o*4+O3^!
zYn-B}Zta$vbFz^}J!oEH-Ffhh?3q2q6`(zZ8tz@GnLMfwN%+-~Q!JE+sH!4?yRmfA%yG-^Cy^c`Wc%JH#UQ}tkT<`g#|vgb_L
ziK)AEFmROm8_Or6bz~70LaOEm0bA?TjCRnSMk5Oz15GQeW4b_kS~%SpIk-b6
z0T?ME+S_cdg?fA{aLnh=De?srnEqi@#m(%ZhjTZZBYrL4t9>EmR_bOU#M7+OD>LZ}
zzzaQ<=q6dJf^l%{N0t^_^e)m59I>9sV5A1$grN;wYU)g3u9vBOlU$ah;hJmRrz)$8
z`Ldfj-cL6RN#!?N#!=6EmS&G9Pz%ScB@Yl&j4SJM+AD^Jqgx$4d&Oy^jp7q*&sx`c
zEAF(B4f&|{@G@))la!@Qzbl@xJ@^kz?GWW3h*bR!TL;UeTTgD9WJj`cg1eR)C6Pt6
zc{qy11)D~Z9H83r8!@^VVHQHZ+_h00yC@g#s^iDcKbJH3)OV5eMZJbeI_d?}#u_3Y
za&ds^@n7VgCUBEgE0^Boa+CR_ZzoFcvepzY$WI85k-WLpX7z%_%bqy}4U=XtTf@N?Hr+~kz!zf;Qs@j&>Mq&z0(>4~%+%hfAOpZSv_5v|B;m5^hM6&Rj=ti@DN<=P7o}AK0s9jK6izo2IiG@VOaZ^~BGdVvO2h4f#aHmpZx;yrs-;
z8YZn-#IA7^$Fg`rDoc&BjS$nId_-^=rG#;DimuC;CQ9!r;sxiGv810GR$H5@w>Ksz
z$%vT{Pg*r%hLtd`@R$;;w1w>vhL{nzJD`s?`t+%sD57_=(pmT;Sk)I
zI;!Gy2TYIQ=&HIUNW~#>Wl?*e>7mULZLIq0iN8FYZkZDt-PX^qP)}S3m@2)?bUtDs
zrTym~`YjWxZxsIm8bi#1OiC;?cWP3I<S=z@>1e82%0T0W2|KUczI;0d$@_rV6{e*C*;O-PjafB#q6G-k#XiU+^{>C>A
z=gPh;!P&KR*O!|4F8UY9lRN45zm%GjvM%e!9moNi;Q;>6H8)q*3xj*JRF$h`Y^KwQ
zEpu~gGQ$b^@<$Y;)RLO0L{EAP!VTJ;VDW42}Af
z8KM>_w9@))&Cht(Jt4Ey(m8RHjq|dTu05nRBGZ}Fy$jED5{OVLI`B>z;ND7oZ(8Ua5uAV+pBF+$S
z`%4}@00KPFBRn+5UoYKWqTfyTzxDgkuL*2ctoewZ_L{PSY!5p%3v}ss4*Uo*WV>r5TUsX2Dh=-uX
z`LaQQ?4{cVl_Ifv8x=WT*3CC`;#`mViHtvTH5$oG?|T+;p3c*Jx3}31^3@zDVV6Og
z*gw1PMDKABUoR*Mo&#k(@9Q*neUVXusoB$+4A^xna%2&LQ00Wr~42`8dmMX{<0o3LHXkO`Dm)_cU-}g
z?Vw#KhBt%EE5cmlRR@+7u8n+0X7Azp(-(^-NkIR3yidi=&8AgppeEp8@JF>aMT&_n
zazl3fmY(5EcQ}6#*}~NUD6#IEuC4vF@k&c=k>}We#&%;^
z9nLb8xOOQf#v&uM;=u%*mC-&GIUEft-4W|`R^BHGB^NC?dzBw)>zJi3xh}3Gl!&J`
zYvVUf=jTO-vA`>#iyM9gX#!y-j!|LeG^`ZE6;1Nlk>|#|Ou#v6r9(Dnm3d|&5m1?-
zg<;v}>PI~Qa%|TDHPMWkT_O
zJuL2UU`NEp@^^CV=HMHO+(4%HLExu!?>VJF_n`T`I|&#lr|YA*NHJ4oAYgj<(B?9n
zv?%#aPpvMR4D2K4cq!pG1El1o7oQXFERR0-M@Cs7jW#{s(6a?L^jm*b_4cBzJSMH|+uOB5WomD~u?*^j6G1Q$Q
z+P4R!WB)<(FN#O-Db4-p`Ki-FB9eJ&`@MbznT7@N1y|eb)oeS)rRs8tUCIkRAsC?k
z-aMMr$UdTaFP?!j^St~RUX-{ifGl3wcUiw@)-8<^{Xy7LIig-OlHgTsf5v0q4l+S~T
zQ_d=GqpMQZxw5istQ1sQM{Vrs@WSQwUjy0t`;{LMo^86`{^Ds}vF&knrk8NC-)-u&()ONc
z(cS!btsnBzZK+zD@-X7U`ZJ*Fe+L)@dSer^W3?oU1OK47eq;ZC@QpronXfD1!sU65`gP4)?%N|F%ZGnXQoBr>mFkxhtrfTr
z1HT!FH9L$#IC+&S5T?XF|IdW}#qu^!9o5w|tae?Zk
ziS9f%==-j_3~ALIlnMP{EU%|FT$0xrqYYLiEHAYkVQBq=pP?ZQ{zdk2Vh&o~blVd4
zuv#E#Kg(axq@a(|X<3IDLKM)o7^3NchAC?@zia;k&pQpijFAn~72Ok;)1a%EGqXJ(
zh~$}J{3f2T9l<-Bt-<_$DeYnH}G_*QN(`|@(eb42d
zU$ZL^z~|O7QD-4r@5i`o^N(16%>fG@st2@b6T%7io;^RqQ
zpz~4n?{SC(5La;?e~9!wU%B2$3<8962B@XQc_Ty(Z?dgxizvhXLT8j5Z_~@>O78{qEY}<8
zd4(**3d!eVePn>wN-axm+Q#m>&2%Z7zP?C)L}PAWGcX4P%~4_kkhdcrrmgT@Ne6n#
zJ=Q}>$X*nzAh*ixzh-^W_|w{Mzzh~5{7ave*%XNRS)H@qcK><_zOFjT2$3XdjeT|h
zs-5x*R6N`K{B&+S&T1v7`peAP*oiJ^MS015J+U7_a{7=Y0q
zsS;Ul;ooa}WZ)|Bs+z};)?o!fd@wxn`o>7BpU_u@_+=#Egni4
zE^P$ltlNbD@@Z{hB1b=)Q%`^I$f#)EOr^~Y2iip
ziCHvTW4xcOi%GsB61
zU^OO{Kpi`dZzhgEWXL~keyc%Ui)=fo^{PrIVf*2~)}X#~vVS49^*VEH{b(N$;Td@`
zl3Mwpv*SMMMrQKoZ=E#kDch+hBsjXJ1C&+T?sf2()PT)%;I!K{3Ngx6Zjon$iOOr#
z!W(SUcGou!wuS|Rx&lQ>y$r3pAf3BX)MqswJ7N>}5}4r
zA2~y|`twTXcVhQ#?{48U_Ge9}(*@B7Lfl}cr<7~a&hyECGzKDmm1bjxr
z)4+MvQi{gV#B#G=IRTL#Fri|0;>RZeVwt(wk|t}Cg~sLrL1Yhd-4XQ;9bn!Pyfg#o
zrjD6w_*PVMxv9lzW~R7C9!oGg-eklev^6NMz>Gu6h8DG5t^+GA^(BJuWS?Xl@Ks+v
z#w+)NN0gj(sC^72lt$XqR=q7(tka!Rf75#5G
zSA+*FMdLA6DCPiF8+iV`=X(
zT-W_wISldgV62SK5gxp=)(?oYRTv*ByyP?IbUvzbQ-t#0xlhC8^Y0nX@jpVKd!;sFYW=wuod?sr9-8#&q
zCJcl(X6zjvJQ*G-6rAq6V+xzP{!*zVX{w~enwVtEK&qjPoS8Ef#R5yD$a-(LBE}<0
zVomRMtv;(`466@Z#Uc2e2MoAe+ooz*gsW2`5Jkw3+8jm}a@T4YW^cQK@2d1bp=7`&
zr41n`hhOKJ<)a254AWw&uc0ulTx`2sowFB$7whF+3H@j#fUoH-*kk#LI1*~daB>0P
zepK3sr-Bc!3Ip?zp=5NHuLryy@=hc)r!#+JJ)>JkJ|)GIAq&5UONb7TmNq3D^7F-P
z7R~~Q6wIp@52mWhs(z~~N9d(4Ik#`lMgF{ZZ4i+&JA2N(_2c1Em42aY5Q9qHe$f3J4^?2Aroh)9<~s(VBM^OzMs29SS4l=lZ!1t5uofyxw40*cXv@dTri02_hln3R@k5likw~1g81nx{8?#0!&Sn-`eij$??9=;u{me}rRz9yJlN?7HZD_WM
zK>hNc@&B%eM>G1P)aT5!zGJyR?Rn>%B5C4YzV29&`&uS@-$9OSJ0SQM%2bUO99Kc~EA2pOpr5^+rHxw#=NX{#KWMpLa5NmDLopICs(4}&J9ZQMn
z`XenW75k5}UH{<)Q_LF#rVTOLAeX)tu3OZ5zcPI+jjXq>hgRxzP0W&8&0hDd(n`3D
z@|($BKgT84V{DY#Z0A>yzMRkFP#a}n?Np`zG^_V_HTJZ#kl=
zZ`OYu{b|>d|HtG0aN4dz|1?X_#Js7#>S`C~@hkT10Tpk1eH}}M9WUADxi+sQCpW2v
z6(7eSB&*y{HI@L&k4M*;;x5O8BRflSNYLhOuu~Lh>Da&zoM3$ZHw}a>P+;gYl{A|Dtj_A(&1Ca-oVyxigA?nKwAG;{f)9aJPu`ceqCc<@^3UWMfa>>OYLk3
zdDDf5J72eN#5(=b?j@|&8QinxLGvi3`l$~)pdllN(z*qta*?m9Yg+~CRHXD~RUjww
zSlz~iigm&UD^4hgGv0Y=I=ZLx)6>T3q$l}5F%?AYTHpRY+TTVI#c}~O;NJB}mZniX
z>A{GU2Zb@S|I@f5J63ze$u*9@Jeic6UIRlzlR_
zFRJcAcH0=GuATGq&2CN+aoA39sGWAeDVq`77RG-iRKM!L(6%ZbEPhO$to+;;DBUz)
zo;feM*k#vYA2LLH*?B5be>8i($mhXkLc8@TpD{js?bBA7h0Xo`80>%U9erz?zV?d|
z0k*owJn+0}-v)gb`K^3&z;*s%a~B92OPul03y0p^=H99Kf-q#gaNA}xl1ng%_!{Yr
zY$hHr$cEK%KHyT!DQ0+FQOZP$qsGJy}zj$<=lw@=Tr+S=qq+n(d
zBCUNxMlG({{i4a*k47%r7R8frvb%o6bYb3EbMuE=vLE9`1juhIf`eNGY4TMDUgmA#
z!@fAD1H>`vMUM+u{e
zC4%=&hzlHIqQwRV_%BYq+qOp~Wnfa_xXw$C;jzha&lSNO*bV+HFOHllp9=&&=S
zV-#?3G(V%78eU2$g$dQ|t~tdWGLfZq?aOt=IWqZ;4z*(H8rkgRl=jhKM(RK~gTMRu<~o
z@pj%0mXFF2>#SszU@w=0#vVM85Y5GQ-uFZs>=xZ~8j(>s;|2CaMR+~~SSqfvbLC)J
zJIt1}jF+}^-d<&R5KgneZ6TEv@}57td9khBN=JBV)@;WjRIv_qGw`a3*3TV}dC2L!
z6(wM#p6*PuE13jdz}c~Iwf)nDbWtM$a1U=y{AS{)P`c5EK;`^J0=TncG_bYi^q;_(vx6&DZ0vt+VP5FBjyP!e++=u~
zXflG+-?`bFjrcf(>e8i%eK;=*f}3)oUyhYG%$8HMg+)+9HDKlNj^`L}GMjQ#0FFL`@KlA%^1$=B
zG+xg3^yDq`jpRkcud;~C^NiOSX0qSWZq`&+Pl0aR;g&htkqF|F`+7Xp-)Z61+lh}8
z$U{l2Jf5Q`v%ZEy<}s7V?Fa-qjJjZm4i{u%V((*o7eM3qCEyF}LC6Xdw=*i+5LBAL
zeCJ`79iy}Gs=8d_mcRnFsLvZfL3mZwNQ!CMpvxavY-UroC481B@kJ$(r=h@zP4
z$5B;IaGfotZu6cp1
zqIZ_1^V~LmedY-cmG_!?teerViRx>X&ChuoZXfq({up6G>0dMSmd8DDb6;O^IWe%QBE(I_C7wfqZ+U%z|SOUVdWu#El9&cvxE@O2QyOit<3GC$s9
z`l}@ajm7V0){l(QkzFog6asrg&b_C1ZX=cOy|KtLTI8(6qM#kh{yhUAsgU
zd|668t6}$WqvuCvL`CKET-z;vRL@UnBz$~gH`bO{NLHKO+|N{c{7_Q+9T~hLJQ78^
zcXi7F5*7HhN)9uoY{Kmd8qAdQUh4B`bmyyPuxk0qV5~aD#lV{}7_0WXu=35q8uE@k
zl$Lt1Yo$g8AB^1sFPxbtl4=>g>dFl&5sptJ1!5HV@h3262Eb=1K3M7S1USp;AKh~L
zO}b~_y~^`(5Cs)MYK9g5ieHw1s%r%Cb}$e~Ll9Mx?7cHZP~r>H7tSto@F+=vj0wcn
z-wN!Gx;1`o@IGivpS~#o)#~MsM?kDebvf&v+I+c;81&L)O`7#GuJM^EoT1y`Hz>0s
z;j~S>?tO+iw_pks8VIi|U~DJV2L&TNo{8d?SAMQha54^M1Y7B8#(cS36K{5hm|>nL
z^UzTBdLTm)_C>LPt9rl(tt85qkG7W9ToU5@P}<)bu9yA-^1IIaq
z!85vE^Qh7#{-EsBr{e+~6@Jz;_|1VBi-bdzoy~MiyDP*wq?=#O4=!$g5DFf{YAaXO
zxV~O7?n(>IDEbs{cCV~sVik8kH%BJiD2`BQkRSY%@DVQmIH~_N7Q2-&$=y2B!NjBn
zJ{_UNHU5biJS-FKuT@*LHd
zIO8TIPbiPG{dbtK5pFG2uJ$y!^WXu@nsE?vo)~G&Ey*TH
z8wbP4(z;<2y%_-JjU7y$!=;glY!2sxL%VE
z|IXSN0q2mB)y7ga`$FN2Q%hK<{oVhq^>CiejKrbencyE-0Q-TRhF~)#Y8rzKpyBm&5L-&TU4Nq0>INag0nZs#v$9$wG1A
zsiL3KP
z;+SC$><*UP9!r8kHf63dtQsMWlre7Wl_<|F$?lR9|7G96)&pt$S;%g$X)*Y+mp-MLV|V|
z2|fbs=Pv8%8Ds)P!GX+r+L&B;V|?v%Q*=6)&&_Vl0R}}8PvbbI9wexQK4!53+O4}z
z(=|%4D9;qPG1a?OL9I{JaBdh|+9LR_{%*ljn+x{64sb
zicfO46B0|xT^@N(e)+UEq?haFL8CI4ho^hF)n4Ubqw1WB8nDm`sDZUfW
z^2}i!Yd(~e4cO1oKVv`sQ(D@Ta)g*V_&SIxxj8)dWyla>JdPBE2n6(p5`|cX)OdMs
zFKr9o*rS)>*V#2Za0ePISo0#g0cp=P47X@&k9TJtKsjM$XM>Jz()qOAE1Ls!RH141cc0Zs|
zZ2bcN1~{^xop@(vEQad^C+(v3d#&H;!N@`KRDdgC;{HIDa`uB4mO;#n3E$o(&HBpX
zXrOiEF;#1~MWvdGj>Z%f>!a=q_8~Dsze4aAtdl?x(c|mtg68Je#a7PiiO$pE*ikE5
zxvJDNpE>WAu*RV!0dEodqBc6M1SzgO*!$IEF@McnY03twlF90**o^N!BdPGfRVSfn
zd@Bje3cE_>(=*kdTUDGJ0&#>hlFRkl5&Fgt%rsyscY8Au5N9`(U!Uo~{NgAOAdZ~_
zugKje?uaR?9d_u3hviK6%@tApzSN-YTsdTUPHy$z{#|h;9{DjmRPeupr?iiSH
zgj~qyWT$Hg+jsa*iTX{gA+y0djrWCqVZm&9!9thscR8ycWUcmw1G3+VoV)pDjfV^{
z>34=Q0`$m~r)MiCoASs?Rem`n_F1Jp57pt{8HtDeT7;b>WKdF~oW1)Alhq1w$bCtH
zk5z6n*-@~1io0T>l}iIA@KG%ocl9a9G>zy-l0b1Lfm8u)`$U#=Wnx>?NoIic?T)$e
zgO>TQ5#JfPgg&>=pVPy0$D&C!33|qhWs=YbU|I+6>jL}D6gb`@pT2!^4RzqVx~MO~
z;juh8QsiGFiys#=LjR3d(yblgc@3`1Dl>~BN$L*bPVExCR$pPv>qlXV=Z%!<%2A5+
zCBwlo@Wmkw$E)(`=3$r+c*_Cqg{y_|M+`E(Yc`Aa?vy1hD=HA_!k)qtoB+pbr-!tepsZ>@ZbGLPOv-aI
zXby?N%K?fi=oygdLB45}(H@lGSx|%R#|MlPQtXt5&PYa!Y<^0Vb2BtbI6%nk2H`Jg
z=YGjHgq<}|#ajPqz9;@m#tmz?s54wjpn|$_Ig-ETG=Rsy?ySJYFS8`hgvw_h8F>4j
z1>J8F-*>rp_k$KPdLUdJ=Q!e+6HB^xR{wuV@_<3>7S|2S4}OvSWzT5{i!=S`G)MM=}FnGk
zo%Co4RPH~soM$4oYP6RrC+?qf@yjf@8!S}7Jk9aHXq7U0Ao$$%2pMr+f1bd9U)TUa
zE`ao(?)!nUr1qbb1Yau|=@eVMFPz;s;tO7SlwXQ8lx@-jHY}hiZlyLw$C$|nw{Xn!
zXS=Q?qGXyvl+e05MnI?MI(ZOK$*#v5NE3
z);wCsD}l*hBq{6GQPt5tX~(U@KX|l`i|KI(O@CS|CZ6sd>(8;gr
zwyDUAW~#Ns4*41*+djW(=TWf+GI?_O^>Ddt@#$hAM?pbQLO5x1FBbt|`h%Uuc0I}B
zNar|KmDwuwIp??ksapl{5BfCCCbRzUM`hVt^LiRqkij?1p)C?f`=HAl(u^172N|D_
zvlGR$g3t89Wg^5iAU>#3+*%Xse!^ogrn0L8drX=DW@YAaUJmx=NXJB1b+TJWCc4`i
z4W8n13=wcpW_t51D@(88j;vc~^Jw37r}6{#m7sptgYYm}+Zx6AT*8n#(=l6jVT+sK
zH6~Zd*+Y73%6#D7{>%&>pR(#QUO0o60HP^(Q7&1W?H|C%}1sHUzg0AGASY0c1?uIKLzM!O1e8!6UM>ps5+y;D1bMY3Kp;FMgh#?7
zbK;scYyQli`8DUq{c+bmckOfTdF}7)y%VIthC1##@{!!?+NJr_+Kg|b_kGBk{BqH7
zYtQt;J+4W5|KC)hNRp~n1nx`U5KWEAu}h!ai{_;{Vcr^JuD}@MMm1#|LtLn3mKv@}
zi(N{)(A0S0t+B>q=A^$c|B&vYoCARZ09Y?ZC0ca!POu$vNffpZv
zlv2j^6NvWo5D^QM(p8Ve^r|GDXlg97#n&IDzf^*phn<8;tZ~Pl>E%XPG%dEqy0&f?
z1M}8}0`hBBO0#)|UWSIh5nS!_1v27gBQ(|FgBI&MGm$|ODx}y7Lw;-d
z3I_L-1-X~qfQX8IBR3wR^V4GqGNbz7kA7U#?9$8XF2WFmHk`XZ{&Z26^DH(cE=DCb
zmY46BR5=|BaFk!g6r)UeyOfEP*y+01IR9qX=ghkhgKJBfEkuWYUy%|%;f*xL5R>}*
zPZk6|{HA>`j7r^2rW2lH-`%%Up_79lwt4$ZBVZ@?k0Xq$Vy_%U0C`%cY)sfTY>m8-
zI(ya9AwDG+V9%KClagx>Xn%gwTJav0Wmp&9e!evR;IOT8>!ZfK=rR6U3c@1(fR~-#
zn;faG;NK2(>>ezm9eO|n@o#EuVj=>)-Wkgu+>LUCYo0H)Qz7xY{}Fa{dIx`SrJls`
zyeWjUk2sIIJiVW|->&FJu;h=d9DQG#HwDV{k@%Avcz@t;QJtnNC9qFrf3$KONeEhq
za^f61r^e*M*-s9L07xh)VA7G1=gesloOT`=>0)}Wz@|3XzwEn7k9p-Q2hh#L;oSZV
z|K>IeAV!(eP{Xh87T#q<5clH7#2PHE7Pa8fNg@1K*L-cxl`J3Yf7#UA8m5l%rfh)2
zKqL|fr$ys(8UPRsMf6C?-CXi_OedP=Om{WeX>pGC+R8S0L^X_@_iI
zwulfdba9ZelKk
zAW`S-9Z2~;x{Op4V5JSTTh>`s8{I9Dal*YKoONl9T?^nn#Jcd`F@$q`BimkuRe#7R
z|6v0n=Vb=s{4#h9%<5pv@I=J@7k_{L%WXIzl+e9K$`;?Yvd9b8(M
zQ`a>%Lh|?|(jOfD4%Enhr@0(mh}QqPzB7<0xkL^#9oY;SUx&e!XRaN-_k~3ut;;IV
zy5k$L8s8JioJwSEq2nM%w`(L0${t?*#p-e@ftM@Q)DOrzUe>n3VPOP;HXl}o5ULtX
zW7}5F?p#%BVn|PRk>{*mW>Z@DhAk?(x>kAi{6NwaXO+fslojlxLVnzG=S{}4Id7=7
zFuVxzJ=mFrKXmb{nSrE6y|H`yfE^p8)*4ZB++uw1)-*WslCq-EVMZYe9$ZV1;5
z8$ZF)phP$R6$R9%SayVnF7|H3;`Ba+SE<{$MxGw}7*Doj9O2LV%oZ?-{G)%G6KM1F
zGYM2fHs+F}%A;8c$tIt1k~ja%`W!s7`F;9`YqKDiiio)jy+wHJGHr??zN{tF}Cuka?g4vhlZSVd05@P
zWK+UN>&Lot#X_cSc4#M_!6r6%m{vn<V@ZM
zRj@<<*Bv%ZqpRB>nR~{uS>N~dwU)@-!o#VGs&o%&WS!E`sSK;`Axr)CSJNZz`0*HR
zXYGtVdwvBqR7uOB3t5kTL&~3D35jp_DFLuQA&1_TEgf>RE``B}!$m@$vXn9`(8lox
n<3@{Yjd#Id`M)n7Us~(}h~hUnM^uRkug_dDmjyvFnScs}O+aeuzvswm5mouN4cK@gezgS)B_MCb!S
z1P}=kIHFfecNY92GJGg^7yJf4e`G7Y!LQTLA80#55WPSAKVIBn^YeiZO24Q?D>&dOG{G{gpjClhsMWN-I4#^`|5W=cUy6iF}pK!w9XoTYs(Mu
zLRtIUk?%O%m5KLgrsr?>l880RgewT%=8SOl|2kvpSY&5vdT=<_oB%0&v|DsoF$j>q`_>wk8i>tRqiL+?)}Aw7L77mMz*B|Q1c$@XLk
zUKj9_P)Oo)`~i{)f=G@(F-`q{eCR@-t@MEPD7s`w$tT#b;G-WoBd`3z!a{d@ta#SQ
zHONbW<$|S!MF@DW
z-{ydXUIsuUBvSZHUxRoE*{^LgeJ5c82Vei!!I$Tyf&NqBQBZghO8e03lBf`Z&$iZ+
z(>Nya{l}fr8i2J^oW?A)jB@{_Ckvo!}Kv87{m^fk&Z2cXA;FeXA#7VxlR;`!IRS
z8Y_LCP+I!DA|Ao__aCT8M8M!_J`xcP*LC{kw)x8cd&&>LpR)Ra$&-@O1$aIt6A+BK1Cn
zyeTekcC497+73Jl?|&X){*>m*ulGCz>^?vheSU!lCcc13RvIF~BPjWSkiqJ_Ap(-8
z)g@Aan8BEg#EIc0`_Dnfvv?4RBrFu5#CF!y(s)2pClfGdg7B*fOrTT7k1kLj5P%W)
z3jezo9tD_EBP`{=moWrQZhU4DI3OkA%iTN$D*y%k;JP!oaqZm{&aoO)C2!4+VMT7%
z%#7)%%Q%W)ZA8yy#NOZQ0Bi6tbmr%$G&N;WR=WzD;Zlp`kqQ$Y(uwc>G7$6~Oz2IJ
z;`Jmg?*4TX-q}@YyGy5i^e}yi_X5HdQds2Yorbn&Q&l-~bV?LDq>ic@0;!Y0t?tSC
zot@XX9;>{4`zW_^xjT?rFkJEaIclAG`TOg?p+LS
zY_$>KPv8^~w*46+w7VXElr8Ewqdrv;8yma3KP#0N!KJy-DNEi*%2$=p;W;Ddj?F1s
zi*%urqo=3et>^Q4?BGG6G=c{d^*InW;8i!=IUik)cIq#hV3wmgGD9JCuCxshb(jojpfJI;`gW6Smj$Id3tJ4dkU5p
z6W^W(%AB7=02|U>Ia>$_B7jJ|&X268^NXyI>&jCynwt;azki>Zm#2w9#Qt6_x9|>$
zmB%N1jl=5%57q#~f5=;rJoPGjv*MA&W_Y_8He26BSz=Q?$DmdccX~frKFq0Ibe26<
z*{c5CCDxMDT|fRU9*HFOO>AmvYTT@G>jv9E2)Zs=oinAqUAd&J%&H?!!qUpB2l%lP
z)Sfd~d!^x08~7{NW+C4AA9u0@vpBc=R+!vABnFY@=jZoM!et=;*-(|6V_t1ZX=!Ff
zMa3^7)YhOGHcjdvgTa07YOH+&HIVRg`6b!nV}}8+gJsm@ty6haim#bTd$
zc+WRv%&e^S
zY-R&?^*Ourpb-Kp907%X;1)sRH{@vCYzInKT~GQIUh6{
zy|HBHtvlK9z9(C|h-k4QH2eX}P0QZ&&^SS$-lHD4YMm0xh<2%?{m^)vzpCHuEi&JC
z2l3>5hZC|_A!y7#>wHx;O){ktKxR)ws%d&0+*r`-%f}Xcd_hB
zyvK^W+u~;HT|a66^OMMPK
z6@qk%^n((6IkZX=a5wXv#1QrUP)U7RfV78=Ry_mXY{kL(fO@At(@|JITHDU$96dYBhepC>NAU;zxzJ8e`bF}+<-T=sn6i>xzD$Zkz%;JL
z>*he^`fL?6ObD2*%)@a^3zrxou89~I>g|hdBPnSft1sH2$nzCX<3UVSBt9>{gfp2X
z+@Cf+h4l4M2chEiJu%3EPHug+0~1xdKW!<(s^UQI{)FI0cBxd-`$7lu_6p)TE$-BY
zhK85l&J%+i-IB2pyU;|{uI0_h?khSW3lUPzlrMhsEJ0%XEk&;0v_z8F8PtFOVi;_X
zkEcEkJTY*yZ1R>iHYP)C6soU?$QCNF*jz+q@8F>J^yO2sTUA^J4~$Mb5~+IgUj163
zb?dKPhxYdMr2w6O;^Y=IX$}I)B?Qs0s0YE2j19Kq0kg#~|FcmS#imJp*G}E5KLly)
zyMP5DpIsv1KQf;UCzORK_we5{5nm33@Xs(qGIJXuw?fh67eEZMw6qLmK{`8U78Ui}
z)T@x%|CnV<7E;v$K@?B!kovqkB^1eTmXP~e?G1)~&Jbftxc{Nqco*4d#Iy)f7CO`;
zNilKpzOgY|ciV#JO>0MoYgm>JE`H8UV#r75@jTSTmCmu5HpHzq9B{yxUJ49qG<7aY
z8f0h*!6O&*RL@<`#m3;0pO{zle;ImRv&!W^&KB!M_`p{oz4*`;2fa+OgTiqSKQa*u
zSG2_HwAWBP>jVK^baqbqBUm!j)VWLaO<@TR1S}j!qr#a&##I;C>LWiiVG9g5At*CX
zg((bY*Wc(6yriV0B%xMqCGVZ;H0wbJfmD(NkD^n~*8F_2IR11TMP!oHxYt%SgDPtc
zbAg!t$qC1+%gw4&W#tu!g}F!NpbOmg_>`&y1KfT^jUpggwjIwldGJigy}rML>TYH
z;a_GYSS7O-?V;LL%hmb5_M*tnoBi@-lcRVK)mz3*9}+h=w{iWA2ky!o3aAdAY0`-1
zZI{;Zsur!5q?;*UaYY_u4P
zB-!4ykl};6W#9UoN~pvA-x0eXr|q5r%eYGla#J|Zl`K^I`rZ9P;E;wD<5z{~MAa4}
zeQ#_BE+t%cWz(!!GoyBUcJ)v(EIVRJ0#-8f2^wi>P%}uMOZCRXk*pKy91ofSD4IwqJ`-`z
zoxcxu2M-<_IO9V%NI(GR`VfURxYW-2)YoB9&QS0u{vk|!4bsXDu+G&5mms^zI&iaz
zdtfcef$7ld;;jfTLtxBsUDO4Zcq201nZQTq8%e?ok*(E`IFq)tIlq_v=g0}uKvEM8uM=L(U4`(+LXKw~B5|H&pJRNWQSRK1fRf#(RlV`ukY89nkJ@%4|0_`z
zTIR7GOH$=ym4TZ#=ksTH8bV86byD3aDH$ydE?Fk!p4NHaTD&OO##kH3_w+$E>ZnHq
zG8{gx;#`S!p_S4_ycfq|@FK9GIeSEz*)SU<(_3%~GK687$M6Kzwn+8yneNi-LQMEz
znG!*{_~v@*3%t>}1E1sS^f7FN#6Y6&$H?CRAy5{Kf~l6CyL<8PG4huXbQe$UtB*Ml
zE4phB?*?3pv%@70(E7RiIN~3$Hl5rVXp?T@5E*2Nhxfs0Ws+HOFc>MyY`+g2!wv;9+XieacK<(JXp;bntSBkVw=kbP6a
zckHDIv(a%4=J6HBkbd-#*kWVeD1CQ-?CaKglqcSM`O=FCPk?^F^MNe|Bn6jF2F~uz
zj0e8@q(4WL&Cx(Y=U~03>$u?DAKc`{+tZfciDR_LYUxnJw+b%g7BtD`dghtb?I$p!_apx>
zM%7!9+<0e>OasDiD6a{K5=!^myjPyxTqqXh;WD%jY&
zGT?S?!Z~%Y{G*=RX^n;sPNB;nu1&1c?f^0nr!@TAo2f+$+;#}_1S2Kh(!tN1*
z!3_%JhWlNHY4N87lM?_;~APaRsUp9_$0?~l3
zD{AnG91AUV=4hpTnr)R=FmklC&g-bs{X{b?cvdCPX-5+?C#GAWTqh>psij#NEb8#e
zzPjP;LE{h=529=LLRiC=*;yMwyN5)Po2-MitR9Zz4>|<;w{*7#;RD;)$b}1%3@ny^
zRIDswN({92qF={nwV@AnhpYEWjIn0@$o}5GU)rg*E7y%|z8?OajK1?MWBCd(n1By8
zP_Sc>1VM(oRNx4OelB*)bN(UZ%bti~?#7omAO%OI`*O*33~TA?73g
z6GR=hy47=iv=n_I$R)b`OQ7-ijZ_|!z|j`f_QKop3e-^++GaV3QZx-2E@hJvi||8d
z<4hXLc^jxBEvBywnQCu`8grZKl=YijCyUVDj_h}cEY%)=Xf>YCU#l$pO^k8aB&TJ!
z#BUnud_}W?p)M#>)Hcg19+_tLbdZ;IxMpDJ@MCb=rT*>iHG!Oi#@#p!?G|-E8oe-7
zjU5v2R>$1&7Hd@J?Yh-i`JsRyC0J}w{aoKYAfu#4=I#@VhTT(QAVctjW4{ei&;xxG
zaKC-+{fX^5mFEsSjy(eU_T@j9JUp>*zyDmtqevjD-ZgyQ;zYp`0Sfu}o}FB>iOY_!
z6ub~ODWI#Fb4zcE7fF~vP5};q5aFAiSjJrV5nzB|T|j(Gyr&}oI{ehGXdynnN{p>ybhkHE3pGtT!T2Y%U9gT=+L%+ju3%#SrZPh}XS&m5o
zp1t3(4Sw3&@%D9lgBG3y+=x2&^0J`!V^-_~CfVE;T1WlsFE^g~p`w$2q-w{R{Py4X
zE=6~b#U?S^E>Wkm05!W*O&?NE{}oK$2Lv`5Sbo}nkC-F^O
zP?O>D%_)??k|*9Rp@q~Rs;3@HK4augaPWprG~d!z4yX1wwUn8yZsRL$w9@y1d@)&3
ztW~zi<>KO;c2~*Xr|H-PGDe}khzIeO?9=OdC=nZW<3;MA=}wxmK9iYo_J)Do8)GKF
z8TtD(?DSHNbj*Zvho`kopSxFQU3
z^)M|X6G1(Ep2>vWR3cJKf106nSthjLW4B*}&4^i+m0^+#HFj)v+S%w10oEdNT7cXC
ziVL^hO&h@o+TlOtX4GcG=4yz7^6eV#=+e!=_7LKjmM=%ZqVH`u-MxHb(ID{3P$pj5c~M0lQUAJ*2y*TY|#-+@cD2k9kxYT-382T8$fz|;HCRZehR
z{v>WC^6cHqpS%@_FT(;fJ~YvR81~1|AN#B3cgd>hLVldAxA~-)^cx!RfD3;|F{%9Y
z|M(89G4cAbHBh8*JT(G#z&VRe&@?h3IFJY!e{4`aar;}xW{hwRgcZ05629&9_I%z8
z(Sxbz&wd0|tv{^&`OF5i)I`fRFX7OB!Ge7$z9}{hE*!A}ms+hy&Dl+`()QbwIGKiL
zYe7c0ql4J0v6eS#qK2!-TX&km6p^B`{-0VnOkCr)mI`)fGkSQ9mk
z0)lg!+>@!|N=TD2_h#Vx-C|s#smwktsD9r=WsVp3sB7#cb16=v7q;CZGXxnFxecte
zE0H6v{PXcM?CD
z&O=vq<|f{JPJe&AL?1wlBGH#2s0pO%Kyd&5Ob3c6@bv?_mZIH@1Nf)>B!6ZH7}*8q
zaP6f4o2i!Mf}W`rRQlMA*C412JPY(N8jg-d%aypAs%huNfiF@3u65s?Pum1g(Y@g^
zI}8l7o3v2II<#R<}5ogd9%O
zAxJw~@&2moHev)c{kj_}dBlS1(ytOK+{0(WAWO`Wwrv{iq0SNzew
z+0SS}IjOzDjx&*tbaG%ypH167eyKYruE@i~1HjdV#l>C#Ry(!wl$nD;y03gA-pqJ}
z%A9qB+bO@PYSTeiB-V4Sd3TcWC>`L5R`cB{G(wi@W7AGfPIFYXJFnqZgF=-tA<0RO
zY0gPGV@yUZ;A`=eglC)}VYJf4YV~)041ljC*Fu6R$$W^&8M3qTYTRpUF>Cd@@K)
zR`ylR>U+Dn@uP!r%%
zyw<|pf4v|swjLBfZ6q;j7#Ssb^Idr%3x&r|^PAECvXn42J)0#pV}w|bFY1dBa1KaO
zt7_HT&Cbd7D|d-zqq0&GMy@fRcO-UL5t(9eRGsnJgnX)(OsJ2Nc1Z#`GJ2Sqlj}ln!Z~}Eb{WCm
zK{8dvjSJhX&dw|2DYE!r7P6DyKKf-FXy`E)fWR859h7AkOtJmDcxa4GMDRyZU|4=m
zz`%>J>Zqs%{=UAI?ro*%3$ej&krocs4nN2CUX`zw-z?Ai
zR;2iwFD-iE9k#CYwN7%SV*RbW?6^hs?8Vx8FK(oEd2SYH%{ht1xZMzNDliBPHct=ti&Fqxr?6j^z^jIQNAN^hWo?Y4oxe
z?b6>C(%ct+hVFNlxZK}gm)U^(HxQJLij-!f-QVGeRptt7raWjS@&aoHfX*6T#&k*p
zg8#EeM1&(8f4JkbJ6@dTSoWnyynKLspFKLek&Ej+74>!`>!GoL{sLjk*
zetk13BmZ_>zCsCNyMAKzG7M5Ca*I=Y_H=STe~u;vh>MB!_V>?V3t#9==t8|?W4WJf
z(ei3(%6-KaJ)RkkppzDwTwv6=6;q0YZ#nV(b<8dM#Oq2i$vnEH=0HEia8>JP`uqML
z`bGvepd%0kfYNozCk6%`ufO6mZ9o0)0cV=wY$89Jspd9NBaiA|#(FY4uQgW_QMhc%
zeEf46;z6L*LDxzr|LF_9O#sp^MC#gxu%ISL4dylnrkcZq?8a^*P@8=cNxn0GdrIc9
zY4KiY2G?JBIeHbUj7K|-Le>NMp~IU$?Yz{op5(Ob4S-(a=4PHZsy0@o;OL_C*{a1m
z{xG-zNqa?xh*e<5RzC^#u1>D2k5~HOJ)8dDoum>(a=}NS5IE0SanM+)H0_AXX%5@2
zWg2gb7DRT-vt^W&Xn@A-4JFZs*TZ7OU2-G2wG)Bg94^bx&|iAVsqNxSyf2uVNLl}A#NA|dO%;syJ#^-AR0(t*&uVO^2+PY`B^O!o8T!7U@6d@
zmB2=HoFPd9tr21dS7~vV
z>(m9>h#9X*sUkP_AM#Zf&rMdiNEW4HQK>)PX`tuC<=4m9hiX9%aC7a?5uw
zm5t}FPB!8+g=r7>XGChdfW97w1j9Pq|LRDk>QjB(QsWS>H^h5f)0kcOB1B{PT&^
z%-rg&p-`CsRnVhAc>S41Px#RmJI$-2<{uhl4isjCh$$8;j5E)cmDsy@CBmJ8ll5li
z)(cRL0bT3s?(Lm=DAC_~=dNfc$0e$l_bJ2aAs+pz@?S=ugl)R_|Evp{cQWx9)ZDhC
z#vqZP18=#x(C0qBHZ4}MRQ>hb$*wN#l_~h&
zAH=Az-{Pd?jPQU0epBWXFoLv|O0a6$eo}YDM6V=jzqzt4lmnE@ep}=A$vL^S`o$4N
z8~3fE5XDC&%iBhW3@zn~4^jO&LrTRSka*o<7VEV5)jBC-&RJ)qJD;HK?dg)L_H(#{SQgRY`yX3aKmT?qSjufHKjgtx
zd@AhQTw_uzAo%T3O`2kZWW6vp9BSC$wRC0Nu~n?qX)trBu&byo_b5xSPs62YClQZ)
zUk+rCE61%jiZ3c3KhPd3Mho1-7wWaHK&w<1$ArbFG6h_}eDN8dil0{;B#Bq0^
zQSwRtBE8GV7uj>7KQPmbZc`yK{Lfwr+ioahldg;0E?7JBcI`lSp&siHuV$$=AhMDH
z2nn|t_^w>h@Icc5&G2~v+Q01SmQXmC2ia%C;Ju&rbU)*z3=9s}qELC_@2bY?JPTh0
zX+BW5eIAZ@l6&{s7hn4;?lsTT!;fGLB^}O=U%n%fHfjv&V-CLEjcaU0)?d<`d&iZ_
zt}`==^K!X2?DN|p538o&s?L3D?M(1)QY}Wbh4b=-OS`%%xMCQYAtZw*XbNm1WzOz7
z%-diculZ`BtNRJ?3i9%sxE?IzIi%*AXv;F+X9RWwrL=kpGeI=2c~xugt}B0Lm)9w?
zjSUi8NarkL{|vHJjtXYDGpD!FpQt4-?TDqCm-WQYTTr}F+
zWkmJ}q|xnx3z_jy2@H0-#P%SbpAa$+GK(=xF3(
z;+!=cgl|R(t_5uq3XVbP$bh~~z9cXc3w@CZ@?}hqOIDHeMf9API
zzI`uTI*!g;Th}=iiQL*M>8<(^{Lz+kRQU84F78y#1G(cL;{@tT6??gP3E$@@X)>!8;!&)-!Rs&u
z3af#xtn<`;amP?jg7ZCA$N`}_*%+)T5ZxPX7H8q!E>inPi8V~V4}-B9uR&Ea3|Ba&
zdHrcMu>AJ&l-SmQ5%Mb@ae6_)F)O5=${<@K>q*4HAMD{C4%|asAbR8TX?qZJIHDC7
z5(9YGvR!av)##(cJtQEhShan;VQFpM3*s|!&?IU;BQ1_I>t_jopWg(IU?&Js$2bS%
z4G)V>4)8-dK?;0NVy%gJ2#f+SHFWYl#bWz;%0?1%b9qrSg7J@yjEp*rKsF8df6aSU
zpc;A1SF@AowLi&-eZ{z+aJW}{qzhA_G(QPO2maxGmZ7cy!X>B&?zO^M!0czopsnT6
zVJwcXYUQQA>%^&p6@RH-I1d0Ur%m^tcP@|VlWja+K86DzUrlv3YK)QZ8QT}gg>K~7VP^0qba=E
z82kqkvefaT!)>t%--|5rSWF(qC|F`5C>8N_-eF5d%L?60iQ%Oul5jF7aCkt
zY&R|`aj?-7b0cZ*`|=~nKgoxaQin+~N?S_h9zq{LI|&R4de`iwOyU8t$Yb;z-zP6~
zJn{w{we`rsN|!u1d6MtetXYdV=zj=Q2KbOfzz;KD94N3fHwSb>uxvkn{)9`fVvt{;
z=42T|SwN~*{4%e}6r_crXo8&D!_7SOua~57d;$$x(V!$hKO)pG0>(}-gH-JzQ~A&u
zaEfM8bIob*Jfg9`wOG9|L4x(0^QJ|nKNn6rEmv=kRhhtgxwY?g_-A(8O0+;r5tL-J
ztnx>j21k8)V*A~I7huvFDIaQE^JnHIhA$L7j2cB^V6h%U5~$scxLI33WYzh(
zMdpGhYkZR6OW!~dFy-k65sv~2O)6ZC+Su6WR66GzPB0#RnJo|*bCt#R=Y(yvI~91^
zmQVP_g$P`RwfK72ft?fenCs+w{iXadZADd$S6sCK&JsuzJJq(UkhOZ?7Z0E#m1v|}
z|F@dd$KL>w(_dS1FtcgN{!t(|5OcP%Zgt2kv$YtdQ#QeAjV
z$;eU--!dz2a8H)jm}Itgdw(up+Gt!V-qa4*FgOH&wXl0A0PlLQ49j2_tf#qA%nW6H
z)3aMv2Zh(4xk}}r`c>O?qU>Wu$t1^g23GF$jcV=(iD)Z#J7<}SOjpPLXr!~vYV8ym
z!SsJx2sK(fvZ&i_8jxbTwv%`h|G@&opd)ZL=3weDu`drY|FbqNQF{bb)@W>Y9H=(y
zYbk;+15pRh$TzBdYvl+|dYX`rVd7;7=v7uOS|M~JEPg+Ewsa0aPKrljAP|GxDd8aQ
zQ?s#q?h?#o^H{Es^WGaChb;;ubc)xRG016j?vre-$Ijx8QMzp~6KAF1ank+G{lib=
z`>AQD$at69y-|~DKOKrg2C}LX2p)R(RtFeO{BCcWyO;MymmI5nhvZ)Nn0uDT#u8P{
z%Im6*VKg#pXlRH9=`Tm6@A{?TJ#8AGgVq}s=*QRg=OT2U(E5|n_OE+@-u*WR0Eb|O
zerDwr7>!eB#EO6C;7sgF!n@~k;v+w?6G;=(JAFu1`gC1hr`SA%W!?ZNKCApIV)FhQ
zjdWq#ZWWjg3wD7e4?tN$Z}#i9T26x6a%g?8j$G<
zcu(fzHOttSfZz&PjPr6*yCK&f#p!j|N3KWTv`~E{KGPAON6hG{0&2EUm;gyeD?A5E
z;l5Yol5^Uc!c(Ei^F3);kcV`_%+jEspt#z!9*d=c0$G@FX$#nig#_6;=VKY(H?{uj
zCHZ(J(m*ipQ=+ybMks66usQxuo7ovjwrE95fGUNe)AW_%B@uw#0^AaC55#oOeE`6e
z1s>0pTb`J`1>6secYNqQU_h;f#j69518`vh1@xTM{_}$c&D!op$*mjo$lk~IurwmJ
zp83ZZtLMxBRk0E@H;o~Xf)CLp*P
z9PMIs3JhNZ6-c@BiYNo{Z~^x;mBDN0nZ)i~5}4%7uCnAGev}Xo3$J~8shE>-pw$UX3iUC?z=1AfT
z$6rRw)uhdlM2&%swSo3|zh{lB#Og@39FlW*vCqaFB%hAfHDo=votX8IY*HDtr=9t<
z@J@v4&@?TrEtx!e!C|4g7H=V!|7c`OKhwUvIL=9D$e@)i-_C$9;Y!&ikD5kg4-K2G
zxTuqO^)RdaJB%BqWE#d^yTWd_-b!ltxS$&AQrVW>lg2YF&pC|~;9=YAw_82fFRi87
z3oJ{srkq?Jw#wvO|BX|c9tq!ez96-ODn*~ga<2~ou+T<k!|=+t@c97?-Ko?xiB=Xr?_TvN3**3u_=83P
z!yL-UL&goGTI7MQ{%o8uR>me}K^L^ya&2x#U0h!-Qm$Tdr*Frb1jzG!dTUO9bI|e9
z>iTs4G)U6RNspUcG9ZP1vSE4`|0Hy3fryhm_w$YK2))R0B?M8*0NglHg!#e=Zv6En
zMDpyO-F?t$fz!}@0Q?`{@dWsP8gbADT8#W({&PMjEpXpG*djs-V^FXVo`Atm6bWRn
zz%AXUOjFCnr+s!i&@+Y&eDd6z+O>A8>j*?a{S(`n=QsiS25Nue-ochX&1)u+@H9wQ7nc32NwpvSxX@7d*~EkpHU7-TJIAY4+ic{)Z+o1;d~pURR;0$Zdiyd3t$1I#
zqU@ev=~h-z&y)7=VyK}tN$oM_<}oTBTw2MIu6|lPQoa;pk=?pvzRlY+kGLN?qS&IY
zJkN_0&=sbMnm^D-=jI%x!4f2<>=uC(XoKmcd6--7vKT-5U2)v1fcOF-nJZmk=T8qp
zZ@Q#l1Fiy+44i8wkvM6ACr|=pf!SR^CYV$jF5lQs;Zb~l6BpPC*iGQ8${Bnn-}4}i
zm^*17N^^XtfvO8|WTWdCkId1)P_l>TdaB;8gO6WfX5&dqMLI(uI?%8{D;+;U$wOp*
zNXjc`=qLN&m!JL@pg({Z^97LP!OauY2caf=I?f-)j#Q}AIBYQM;=gKfQK}t(pX)$9SBRyiH`lki+wR!@Uy|e?oU~px9IoE
z!0}a+ww2V%2CAon#fFusL!4F?E8M?-y!X$eAR7$2jXfM*D@iRexKeu!xj=?;-Z3AK
zoCm0YMn#@YF^}NoZQig_9<{gbxO#erk2$G=NH5a^$o$}4bx}{zn@YRjjLbGJ
z?={{jn&9iySYiauA%j_2xc^jdBtMa~L$Vgs6V4Q*lX(xG%ZX;CoWZ_Mc(tSOa$rUW
zFg7|*I_y5GuWvvOlx775qL}C#6tOg5BKv81S
z2lA2)u7;|-%;;J`t=)`M#ykW)^nVO#4+n0)n}2`MJveixJlCZ)ibP1m0614Ol
z*JlCtS?unOAL%=cO6`0jXORaa{dmd!337PT7l6m7nnGaE?IwtI^4%>FTqsx81HifQ
zrJ?fKinhO`gK=t5>5SRZjkH+CZ!p<)JJV^~#D;wzQoU&s(;r>HOFMkE(ZceE`lXP%
zC}erXv~MpO@5=YJHm*{)#rFKir4G&RIGIg9fzT!7%-KEOmR*}XlLK9>0&T8T=a_BQ
z!uz8Vo}Q&O?%y}*3^QA(J@d_?+pP9eEji5qlZ5XD_d#PhkI9&4eQBFAZdzi`XCPu^pHmYWC^UK>+OnL53!Stkk)-(I4!i
zfl*Z;i5dpal{+xx&DvKDIQ8<~U2=@EWo^`EpN~}lG$0srw#k`+yaBff{OocCGW%qr
z?#y~22+?hr{h3d8mY`M-O>Pcjo8@r?*s($=1Hh<47o6$jVC0--KG=KTXiOkjayOl2
zJ~>R8GsCtPAS%5lG>3%R@6K1}EFVo~_EY8q6b%u2(|J*g^-Lg()M9=ei+l&Do0>Pr
z!Qeq>3@!jSrotY9Z4@3(OJKtbvPVf|ezlPi1CUFn@2A-|)-UZaUo)CJuK~D^V6>eE
z&q#e14CN6w+>SU@P@}8gU8Z(DZ}`ZJ3GR@fHWEbdwf@i;yH{RjJ$OwXbRP`A34lyE
zk_GIt;fheWboSkvTZhM3lBNMlLsQ=^B}igxKtC9egXcWP_u_b~H@Y(o6h8y+2NNZM
z_p9C2Ct#nWlUK6G4S#N&+Ad)t%?e<>Jxs~vcveMD&Y$H{b-f2D!8&lj2PQ)gLXV*X
zkhl%taN^F3ouKOnZ#;ZYCt8>+c5ol^Rr%{w4$lmeB;+cl*&YULlQ1>ngjX!`0P0i73z4iSoapS$PG26y)9657A%TX5
zhDH8p+xsZ0tgXZQ&`};Ya&C;%1NCL(8!^g+@ge9~^evS=-*}n;9i#LRyIlHxJW)G?
zaW)?*lWOb6E*L|S?|v^bRz5xn7uJQwZ&~I)JGOIVEQ5^^4?=~l2NFP+Y?f!eC;m`9
z^rlHmc;cPMDfZ{heRY=4#X#wv{Z&KmTE%ClH`WpB9-3G))T1)DC{gG1VA9^Nqk~sl
z9~WilE&lpmHtU&I$VqoA%l^9=Di(o=yEiiGr+i&LciX(V?NdEp@5f7wx9dvVc8PRF
zN$YCHl-%<8={Q(bvsBiAavAa|?Q{qkFK
zRBcA4VoN0=lu~?$U-s(cmem!WMViv{@(wZn(Jd))dyjA?rlm0pp;dc{9*aT^Xvlbz
z%;%+KQG)xbED{B+6gg%Ynaw81;b#;gPd_
zs+4x|2q(hj
zzo1#W`oo6-fMsw_VnYSt)OBwc)Guj!xZ2vxo>~^b9QwP(Ih@%VPldwZMZAsV&aYRS
zpn!V>x-Q#o9Tjtl0pK#KOFU`@26>=_RRIP5vkIl`DLFq$ebN)=F6_gEJRE
ztx_<0+mtODgCw?b)66W$%WDu2aZ!Kvg`myeZvb>`-J(|ahRa?^X7Ssxl%g~(N4?#t
z9Bh#FY+eJEZ7eu}(5bUFHzEY9#g-7MMLp^fl?Oa(6>a@dXCsi&3#tv3pFdd?
z^|1~I)gzsC6$UTQgH}%UBnPO%a<_*fqu0EoVjtrQ`%LDfZ1)&+HN21BXMFxNxTt*{
z`KvA!{rjSq87Faq6DsY+sXy!YDCBww3jksa%j%f;33-vUB7I(p;j_Q7$%S(|o>U(~
zu2S$mffFtOTyU(&YT+|+d`z!-^PjDJPl*Ef`G_y&7RCSV
z0t-SF3SGv(iQf}v!Vg&VUmwV$2sFbkgW=!bY>xv8bP%x@eXR-a12c#I()|tD=NMNT
zP*Aap1_8!77}{5nc_*D!*V~VF%?Z&Bq<0IJTH4@s>`!kgOX941(rlh+_(epb_5s8mBEHrfsFBbpu*T1(v2_DDiv(yt@N&TN;{pW%oLOzM_f!6%H
z2WWfbVq5G#e}&WMG__Oz>k+NS0`D3pU!3!K`7z}`cgyeAcFwey;tJzwE=xVIXdTw8
zLp*zg9^zsDTHdZ#w-;{V4TxhiINU1tMOyJL^{8w%v(t4Go$h<5>m(a(Molv<$FYuz
z(+hGQQSyohz8SpQGV3&Bd8T9TKPy!->(rwv*U7M|WDzNW8g6AgYTGX}IMc8cx}q*0
zQo=KMT{@jR1Tq?q1p20n$%P^w7RN0kG%?C*h};R3Lv|S3$Y`nIshP=zt%?IXb(2PgP$GVvq1lK>Hn_yU(%V%={w{;
zbf-3Gq`@m39)RlB>3F*Z4o>TXz}Y92
zGpBSBHi%M(%Tl+xpR^a+R-QY2q-&B#^JFNCtP~x%5EM77-C$u|s9`#YD=+PO`=0nn
zO08ltOdb#ct8HRU#$4+wRrVOv5SIM8f<4>rlD6L(bhpsa;W;&mX)cHiL~5pL^U)UX
z)WB|V&!w^mM`Dji`6|&mbxrqP%MO7&`klm#T#1G|Rbj*DR=FpQ?*oG7?^kDETZ=oF
zS;c4Q{q7w9)Pk2ze@u3}{Q>xjW@o2#o^QH6C2$z6J5l0@P%@w7U&;ieF@Jr#(+Rke
zp!(92o~d!wW$H-!wBaYK^T4hED;Y>mI)zXa3VkUW`)(iJ4@yFRQn{yxeeDhy_qgI&G#L4>+zS`Y6
z=ac+2DD{62q&$}kfaT5k(uODqrE$R0=wc7&A|ZhImib3DwEy9O|56K
zXGWj72FysAWo1cBBT^+nhhSGs>3q@+|HYf(McH|(H>vym0ll)Stuf}%Hq+{dhutQ3
zQO}CkL)D~J>xmt+1%P=;?TG4{oW{v!^$3hSiHf+o(q2{3T!s!`DDI1}$OkH;*z0gD
zE?rP#`XAgFORdZC}E
zfWw?0^}f-UVpRK#iJAeJ)6RxpSc}tFO1WHxG@#^nvaK0<~mi
zfZg1NadzGD-N+ii^~*>~l5I9F%m!sXlb^Tros-DL$&+40Mkl}Oa~Pfl=t*pGu8H0A
z#kmzTG@xYU2x~qrC?3nvr+^wz2d0kgA&y*X*6HB~sDU0JyyYBG=?ujSJrtHTI1=wbv+-hqwm?P~^iqp#rks{B)5QoxF+CQ|A2
zYWe96UXPJe=4@cLHe{7Iid+36>wnx2NCpjv{Hfid7u_0~h(50U3?Wz#Pr#0d%OGTh
z{#NGqZdv_*uY}u;1<-rTm8|lh(QHqhlYJX_%`+#_M_orn%Ielaobsg~@eWlWuRW&3
zU9RfUbe?J#?6|F_I;vZ0{n*1}o1TMB@nb@X6~?mtv#6!5ZT~=l5pv=+RivI-%5ySs
z!xIn{+>jvQqgq-L`A(==#inj8o5fSfM`T&v!42e+CFarPYGbiQrT>rRZnWL$TDNsm
z`O%4PKt1Wf8g_VWEp`=}w8C^w1hP*9e%ZtB-UUxUCs8@!|EgHLAoHPAd+1PQR^gDQ
z7m;{%Y;o|q=5!7&DCnF#r+dIQKx5*@d*+Kpp%!HxkIDBU@G?JvfvFOVeir;PkH4M%
z<1!WQ1Aulnc*%ij#HvDzEO^l0EfNZj2$2s4x6($>9c+=|&Px-x<$TQ9i|e=BmOvD@
zeVF>KjCP>x+wJChgeaHGxV~E{(9|J?Xj!a;g2`zQao#?ry-XcR(nU&
zB;MGf@^$HYay&C={EFm{giJd^I+SNcX*n_b8Gqm(pt)rzlP^Y4J?Rxh@s?
zO!r8+s=e|9i`f7n@B}||0J6*%`;^n{d;q;M*POfev)?VHyca$NkWWMRZ11Ktba39p|!AXD^pb$tQ!VaEe6P#~n={8pawKObb|NAcd>XojyY;ikBMJ~85Rm|(dBZK&gr9l_r
zPw$x$2p_}|{!E%xk>X1TWg(O|4$r6voQ#T?5$d_{$i3xu1$W34w@e62Et5{RdiEq|
z#N8t4^@mq2q$*qFmP0n@De3ajPF6yd=L?U;=n<+A3zTyy|pf?234`;O<9_&>{
zT+^&?OQR$7Z0PB@$TYarW5q~Ii1|M
zrz#WAwSMb$)+M$|?^qoc78?n4TNzbab$7R($}%PXr6xBt@*B*N~CNhaJxX07E)K7jaH!
z>+1`G-Ttzg6k~x5fUc~&10Kr8kBg6B(k_jtL-LqAmIr=s$AWV_@B=771i^qnvl$ZX
zc^B@P!*AQLY7C;+E}OU&G&DTCxzY2;V{PY`!90WXNpum2CK3m)e_6lEwG>G4{waJsnDK+23=(&mYC1394PK4})7CRV
z^ny9Z>5r>tw>)+x{4c$|>k!1byB1Xo3ka5SjEJ2+##08s&AV_25)x6FA?%9yz1e(&FXKYsT=zh95*>bjig>3qN6uh;Q9
z=JR+S-OEcrE+QKQ3N4qM%gDql-w3>M<@S
z&RpaTHh{byePOKko()7960r$T%ypQEc1nXnt^Wv;@0_pag4x{XTnF1eKc{}-dHm}9
z1q^YOR1IfmLOQOC3N&deujjhFY%78z=oWN!bWA=W7uR^GS^Utd3+lvKU4T}2ucUemHXA*mR`PsoqSj^sX&vL+ArK4lJIy=w{xFS$7
z8dav1uK6q20{5qIL9-w*Y;P?x3$Il_qtf7`Ylp=DQUwv!uMQ18wab?;S31T%s3Pr!
zZjUkmOIZMN8MX`+;Stsw!DR{nc5yx6?SmLa!fmLx%L0a^t$cU0oQJ`$=rz)NU0YJ{
z)h${kRZmH^N?r1H*6O6q!Ji5eH~j`|U9JUoU@~vPrJBDXO!dZki)SWqUztPF3J`3K
z6Y-UVcmcZQ1qcY=i=XPFjr0*3*X2A>&8@b0mYepoB^jf7~-a{Up<|
zt)a;rgHwR-ycmR&=WBMa-uW2DEa{?(>KG1F?^34V5Q!AE0E-TwIfyA63R_VF4ZHg%
zwn(<7aQ@5SV75VN2<5hB`U_PMCkp`aqU^ONGd1MH&UHZdfWug*#v7@R*232PsgkZM
zMx}5BZ^FNbRx9cD(?iC!Wcsj)GV6)eZ_1uTHSW5e4V7D_A2<5puLwss{{vs{0(%Q#
z+|?JyCP8hYO3KT*VBJC<<^>}aZEc=+_CF`!^yu@YQY&4!g?N&{)9qh2D4VY$7qaU8
zC{-Y0)hh@H<-6zrU8U7YgcCZFp9~;oO{h!NyYwwhwk=1`xus0+Mo2IPm)~M?!N&AI
z6$o;vKR4}gD9Mr)%j%mOvwbPsH!EGAktyePk;OFoP10ngPdzu)t?GuiGrPvB&0?ol
zSCxO1xEZc37oV{FUH@z-@#o52Sb+dAa{@NJfWu*taMr(yHDJ6ApPYCXtGrPzZPsJn3os_kNSFoH9O&+Qa
z7-$Ei4W=Nm+O<9r8#`EgIXZFmukQNNMJ}yNg`biV*N^-HYrUYdqi54*Xsptp~)dev}ki#KhmOclx5vMU>!H
zeqn>mZ)2n22p#?&pejV2Y@j%9>-H{!SbVblyR@i4q|J95OUqo=N5Z5Izzg&4)%fZb0HGzqQK8N;7SF9ey1@dhVs=-Qq_;mNHtS00iUasl$l;fA
zDa0oTV3^_db=oIj#x?s!QP_AaMzZ&;e6k$@hBZ!5OYhj0HG(f)IwcFFTs8ZyOU_Y0zw&Y}a_8jidX43V
zCs;L|132F>`dTCM`x_gcV&ip__3ufFV#iDO`5GJAFfjK0zD`4hV>1JTgP@>b5|f}d
zb_YdQpphK_h&m0S>7vncmL<3o5M?GY+LU}?TRycrY-Z-}ec9dny7!k0Dym;x&z?Wj
zaO}ufk-rxShHX8^Zj=(fxm$TNbDH~4$(Z>APF1h*5YGUPdpNOsUjjpdW@tZg@YZ!jI
zMWj2ce>0Z6&F-+5P3xy&qE!CwUym4f!*1!s6VQHoZOhR6a_V-){Dte?C0%jTr=Kn9
zev50rEsb&uM
zKf|16BN?$)zmxy-Xhw>H$sH+jLATGT$rYr#=J~Q-U0my{8h&ZMvF&0Li6f#q=^eEr
zwh(!=WSo`yrg7ZxNblNMcxskzcj3;sDJAy_drt!|qM7L>&wRyHhw}@^DBZ8@3Oosv
zs9Cs5bv#Zpf`l6g`u=>Xq{5wXJld;P*zJ`h$7)G{;iy7$NnU9y2hSz7(rHnxF@CLB
z1=7$|vIvq3-Z9&Mem25sd%NAL1N{_BuXXiLE*2L~tU3zq6ON$kJh(*VF|$5M8#{CE
zJ+v05y%O71VyBWS5w#Ch>av0s10ZrdEj!>kPE1Gu4*ABpjC$2C%62|V1lz%?twqC`T9fTis{U)|ConwAhzte!(*63KgW54rB4$eCS>0cTw_{L^5Lh`!aUXWmEG{=wJ5eGf_R)
zPPOthIcuC>Xx7;OJZEr#U3r^=o=uxwa1=qNanWm!KT#G=NUkN6T5tfl1F&*ykIt2NtUjYScwNEO=}pNl(Z%W_
z1!)I^)tf95KZ>m$G6`jT{e5VVerP9}n!&B)md^9tJJawDqgN7&qT+g{L)_-(GL3ID
zv(j~R%pk6rv_q1(4PZo5-S2~g{4+0lMD@Q`53O{?A!yqlVuu_~$CpkNbNm2snc5d7
z!fRB=;W(eczY%C8dZ<_9UyJgM2qj0c{{3efKU)1=s6?XURS<*??RSCizvgc^d5Di3
z&N^D+$rJj>(W@XwcXM0rc54;ABZWr(mB9lzeMxl;*+zh4DMvF&5FIbV9s$&?({KlU
zmk?ZAtsZU)%+xdZaA_k=#Q_}Hb6WUYl|$YY>*+ROJ&8S8-dH@u7yRk#%H>XmYIpa>
z>fc#M_}|KAskf1C_EwpUMR_d~Cs9bNH0!Ru`I!}|=GeWRUT;Qcpc)orn`=klm36so
zTfSoZW@LYUPe!J1Y6Zvf&SBlt_t$ELd!{3rPaWdB>maN(T~;4wpmUl-fI+))%9pWh
zm$G-f{fb{2nfn%Dt`)cZxTA=lL?MLtml=2C9HA|WbISxq|v3+soJ)%(!wZfY~HmCzFi_UU9-LU}_v=H|q71v;(C=7K6VwomK8H;(aNzZwTP(53}EaC
z{ik$Pw~K`OIG93c
z!m1xU$6uGNLq;#vjJxRm{OK*V`hmWF@*45Rsoq7ZTsx9oI5*3?I;N@`S)0q@B>#+1
zU}}}MeBLMY@ekcfaEQbhgianUs-j$wACLLJgr)Uzg(xR1tnNK_KCGke!+C`dAG(6j
zlbJ`57&f9lFFEKVlWn?IQ$fg&N<-F4wxy`pv8ajSOnNH|_N3FUDB?I6sn$l>%
zVE5#jrY9uWkA2lVqwWx`oBb!0qzEBIakn8Qsq7xryzXFGaum7D2(ADTsCD7kF=o*R
zGNAdPD`U`cp`K$JJgN>r2TWDkpFuEXXx3I`SiU{D^RP3_gfLLVpMMg#nL2^nqy41<{PiU6gRY>Tdr=Kg6
z2q!wAo_iK!*oqWRuuI+~4ZbJUH!=FY_JQ79m&V{ydV`Uv3}pFVZ7tDDiq?
zkXyuEdH=fcr}O6@H5~C7nXkT;aIc3W}Y<
z`y{uvd3OjzkOF_^fl4cGL-aPc=H#`}tS`bg;0^}~x~)C%zSLv*3gk*Y2-39DG#~v?
zMu1#z?Fq_jBI4m}pVxG-Z6?}Cd+Q?>hz^d#UPGw~t*I}YN~w3^df
zldHhzl3^YIY0eONwj+UwnU8Qe&+A55t$FWDjb=dl5CWEVpvo08ZH{`HIMQF^iQd{AP5`)|WiYk4;D
zXPGkt#RciKttj^d88WdfE9aWQKSzg7MrR9b0a2GTR0m}o?aq`QwFZ`C-)jj$iGGYC
zCTH>4)Tz4%%MN|e%;;iYbTZ#4l7sumqeG2`a!|&U>5vt>EucSvY3LI7}w7v)pg%qnmMI$dgMs{x?J5K$%Q26cUooDi?yEj)(
zC4UbOD^8TN%srye%epXsF`u!lslbWub(?jUK;Es~qBj&}H*50>7&>VB?R+fgIYe7i
z&x!d=h%xcjRk^Ocjr8dw^_u;h?6^LPC5co&6gwTzmYw-&_!-x|`HTGSy4xFDj0J;n
z3g3Rux4mQ5SD#f*u!y*)NDWLTV*VqMUQQV28*mX_zl}prA?n^ny@n_;h^Wrz9&Un+
z;BsOFl5J2t1)Wd
zD~0F_@{#jK5+2}5Yr<>-P~8l5bXeN+Q}rJn(D3p0U9jxtLmc%*b7h+^=j{JB2!CtG<@mD0cEt>MT$9@C<@kMBi^|5NCB0
zs^bT1kxkA%dI6Ufq)YrmSXlAy3^La0;}_}n>@|7>slCYF6I}&4eYo4mztUlnaBWNM
z-gN;!{7$^%%!wSVj=C!BOM~zxkdkE>j~wD_8@a|Cz*~Ajby?ix#oCf+@6vSAcl~ok
zPltm$t(DJNYlekosr1h$EZ1MjwTKw%o1pI)V~gx3r*9?-_hlCDGvOZA)oA!#|Deio
z*87r=UO7RvQ^Lsb#X#9O-9Xk#T@Q?6dSTw+bb*yHH!Yn&Rk7bj=`?rHYIqDPCoRCwz!#h?R``|YG|1f%L(6v#
z1ps^Nq@H8DAMBq#d;%7#7W)Fu7Fwv!c&i9X21}EZdwA}hwPBePpJ0ONscDMY`S34fi{Pv*SxX3lvU4)KzQJ$91ttxpRF-{
z#?o^_5gjy{{5+Q+D?p*Ym5H2*d
z2z<{a!+B4&(dK4kT}L|bmP6)-4kd9QAP*S^me11V4sdw
z{9P2IX|yW(v8vqcb+$;C%XN20`fO)`xBjmsKyHa-I8mzfsegS<1G{?;Qf`iW&eje9
zCwTDLn-KYy=W${yn7#;O^-)4+Ua*aF5J@ooTb?E92s`mN3F%e}#H5*2dwU*Bd-0z=
zt;?z|SMVpfNkxA%;H;H2@wSo0qXN^dhqjGRYE&yqs}fjDLPDL3>nI8$ZhQ*sIW%CP
z+Qn5TIj41cZC31>W4$1o|8{^YecMF2$*YSea;dWZP&GYhPZY>4Dsf9lqKNejwoA@R
z3Y($QEDIKLZ{FH4zO6ESM{RgU`(;CoKYh%y3y6(cwJlp+6<^I?=e-)GjpJ^EfOqq1
zP7)u*VP7CF%09@0p3Cm%Q)=AQ@Rw%NP>8E`;gQ8Xn9*XVQN!t0rLL>O$3g+Hpv-$R
z1zf7ilA8N7(1JSR_oV@?rrHNvX%mCsZIH=M0~8~30v9mWQB(Uv@UKk%m)|EY`)|MR
z_`&v)G2wBv=;C`a0Oljkg^$$16U_c}i0gswp}~*zp)cru2j@o>w54W_#GLO-p1DL^
z_f7uC`Sj`Z>i)0cW!kz5?)s{k)p0~xuG00KH#dG-y`WcDUoEo;RPom~R8^ZFuy4$d
z5M0CRcCFRJ0@ZWx`A7>g2fG_^{+tx{3!hC0CLU9m7T}s#rgBcmkC>$>vCuZ}5^kBA
z;;rf{7%j2#+(_1ZRz>Vs;}fuucoQ2EW5geH6cp|)2Zrr`a3-4Q9~OKp^sm>vZJ9R5
zF}n6E1+IEClF!?|hp5}`wm;;i6Vg3m~aVAz-7J)uHTnfI_BdP$iA#PY8m
zk}K4}h~PEcl)<#XJWJM4j}jan?hFinOuX&b$T=S8=j;U%_=Ez6k&UL>b2;~+xG?9#
z9PI`_+D=eFhoj=WY3JU)Kow=i!8M<20W9wk!xapu(8{-r0GP}z$8%5=K%UAqKZYcz
z12RLFa-%_`>@B=jpPNtnRrU{0uL|T1(;TSNv;-NT+T+DG3H1+gyU`oo+99#SE&24J
zJwTrH_L`&Y;jSZ(
zztJVUiF#w$*x+s6PaY8xIQrC_lI+nI7eALt(M>oC&!m$3D7**0UQrm7J`LrGX1$>L
z7nA!Mi~dM>1qgA6_2<{bh4fgkNSHV`_o0fHa%%4478Gg34g>gj;(&K&XQ!M9b5HgSGyMf9S#Nla_lopiB1M|@I@#LKI$lhR*k&8
znOfKCjU-4>sN)4c^=aeC!MZF{eXQc@#DQ#_J1y1Q7f{f-|MT;6=*TP@d#&v-R6ziI
z4cp+GB7T7k1bv3JG}~!;H}VTQiAoS3npIEERT$6$;@Dz?tfnBwd*(yBtds7^i@ME^dwY|l|`94
z)6~+JnkD8&)od&*(jnt)iwac02c;s)^m;@Tx;xrX@dx|{U_FNN#4(}9Mx-#v(*J!a
z8YbDtIPb8ZE5-ktD5@1$5VYF!UEW-Hl#|#zm<7{dRzA+UAsNLV?og!QUG^cL6k4Xm
z-PW?%CZU4es5PD&yPd%{35#;ZTwBuk;oUDz9w)LsP+Z8U!W%$*#N#zG>8oX|ViZ|m
zJ-{u?Am!%V{5<@60Lxif05a{U!gZ0?&-?DYGnD<7{+H`=i~67Rvd?l3@BCnILC?^}
zb?CiX>W8GcOO-$0zJQ?wazV8(>r0PVh)0P*5fm^496S%1AtR3%Ti9i(0B!z#nFf5Y
zzuS#k9o0@8Qchi_>$=BWTo4w|A5AFaIBUhdFzV^*TAWz+Oy9eDII|oQ*WU@0PX>O2
zg6%SJZ=imx?+}*Mznxkngwr3yLU?TrPW7HXy>Z&nd1P0JQ?tzA-X9`XPLH@b;r(y(
zd?{Ge=Y>xO{=??jL==+8OwZ%6->dRT0lTBWdg0p77t2r}!HW=LTYxV{5p|H%P>$nT
z*XzZHE?R^CO!VIUdQ{B7LnQe_U%1O${vFcKFOm#4N@^*{%2KzlIYtXji6z)o-kd0W
zZ5u?IP{g)sSHHGP*KzbgV_9-EZnI3rHaGfW!>BE>0+nxL{^ZjHpXJbq$$FohmL&b&
zb8}@FQ*~XqT%o5lV`&{*QaCu|8cyjRSf4#kqC5m|1Bh<12H2UX2lLN!+23X_y}EjOA;>-J!p8f?_I60?L3E{vT&O3DyDnIdGglR$2aftZToL{8
z$=0w_0JW_rQiXZ7Xqc?oqrw0{XXcGgnn4P)k^z!jfa^nHviZIzfB_g1^#{f%E!kE$
zWF6BhL?j0hiCR!1q(~-oJOO0K9(MOFRM=2;p$z~S?zB5M;26P_1|ao0ii~4rAR)o#
zIhICk2S8?VA3E?0=6>MY|4v=^hZYy;IJ9q()Bqju2H2@U_jXK|p)w$BKJ=ZpPUkzU
z~yX8s9uO##5mJUgelmD|h@HaFGO6;>K*8wdC-Svq3
zQ1{UojUTJDE|3d0x(q^j80LY%)T-%x2oVvkFDMadJ%I4}UO9OOa0p-Zd_9GCkrWT$)PHN{f$=Pu&QvH_}iJnYleV
z_(3tP^=zuZUz?$BW%Yh)TB3_q+Ic<>@&Q`I$JAnGzEd{HMqbsVVG||
zH;BluA>u5No?-qi`ZH!R0@^DV4()K{+THRp9wIuNQ1r64Tf>OnxjH(cp2|Lp%Kaqq
z3>Bl)ZgN0dD!1o3qPgWoy-edF=DJ&;`q;Qw0uW!0anCu-^J~9I_i@{`R|m_MyW~Vp
z**w1C$DqWdH)*2T;+cDdKn!n1RmmV~Q{7+3<#K7vH~Yb)3v%y;@J`ScwBh19Ec>7R
z&G`u(z`69f%_?>Y)Jfa$30@hmwpS2z{$$E;)s_EnRp9c?>+^AM6?7MgNOOxiiC5`D
zB`n%=GmW1_HVgHoR_@d<9Xd_F8F@>r&d6CKyE!8>?xN1HRzlHHK5c?ip}!>K@A3Li
z_Q-inNE?YVeN9*=W|O^h+OM&}IW?T1ZBEY1%RC`oNB4zeh-c)v+wYD-%(6-EnX>Wx
zZ|vcPPk#hK$`WXpEX4ljXyxz5a=C9o7P!J(cjduZ+LdCI;ecE?k!`O=L
z?bf!hh#H!j7$LQVd{8r1#CgCciJEo3D}ou
zAU^U#cnQc!nE@%H_{_&PG!KiCS^Q(%!?T*%GHALQ8{*Of2&!DC9hyoOC1&3a{28&^
zzfJdBktfyQ-Q!kxHq92>#5iyHG^q8kF0f$@6j}nP+m=z-5@>}a6A>x|vN^MAry&su
zaMMn0o6?S%4aAlREHf_9V~a<(MT_V4%>a@Nweo_+poM!;RY_L3rJ|xzAn^RkCHN<3
z36Nz|(9KrQa0SL3S{n~b|%XvV#U2m|pnE4l1E>KWhQhLV8W&K*ErozmNF(p*Q$CZTr^!HgjRA$L~m|
zmfZ}%*4+paht6V{js*au7?+ORtdV$`W_OaMOff#&$??(q
z{=szq+=;=hU|lI#mbBOrQL=r61Lt}&RdQZv&;!O!q#605qJzuOO1jAAl#&UEKysS$0{3h;e}YGY`|jueMAuw{H5Y-cF99_`5~g
zzK!MS;@MniQ>J7RRR*TTtYoEFM15!m2u!U{4-7h25Dg&kB5CI47DaN-cI_g8n9=R
zG*c9Gd@^9M+T$*I2|gH-p@bg+`+_iUfMA62c4{gr2@gaw^!e^@6)Gy7IP#*V{kuVL
z`uFRE1QNWQTJ;(PFKX`TNP1p-N%wt5xX#uAsDr0NHFUp&d3g_BweG4X@XxTzLgy>Y
zu7h?|pcI}{w?Pk9$qQx?Q#ONvDU*eir41#`
z7Em{Uf8MF4P0v||#cV!#!{9aC<}s{UL{S2|EIw#IO5`KHVwm|C3S-$UI?q6{Vwrmt
zwp=Z%Y$FZ)AYH_qf=IWHQV=_?%^PfQbd`64&;XlNcxJqQkf32L1)8^pCV~O3JI{VX
z5djYoUc7nbO2RFjhdsu4=s<>MJY-pO*a8@nD)H_py3?K3$A0zw;z?_FmnrNw$ecDP
zPiM{+T%g1Oqq66(jp?kp4Q1I@NX6)%t&T$=3}IaGcnNLV
zFMoJ!&SVrI-rtV$o#}Fufx~?cvmBCiQtj
zFRMf3z9KmJu&gT3i~jnYP8#&zrpB>I^z@>_(*U@7h(7^o>w$I7Fv-1RIuZ*!NNk`3+GbDW-FgcO@Mg4hy^?
z77yKG#wsM(sc?z?mmfldZem$WT%ygQ-81R~`y4)3s>ET1{scHLaLd1i!~l>TthJ!zSu(SLhq<7SC~r&=xSxP&vmYazX3&39vcp{*P;z2d;Q{&p{jP?faXFKqo-u~2u_EyZz&jSHi`N+JW;kq#hadjFi7
zV=COxe^P4_6+I!4YeSGX7{Pco;TB5F49rRZnJg-QB7Q;CAdX;D2sa19i0Wymd|MyH
z9+b%IHcVb4oW}?n8ZA8dEFI8Na^Zb(D_O*ivx60!gY(z9FNjX{Gy_mw$}1se7obh^
zgaoh3!=Hj!oudt=j(ZB-BT2vTuGxn=mNp2`Ugs)+nV2oxoXxPG=?BHL0U9-PbN*gpz0Ym_f7EKYEa;5)0@7eo~?Zf&t4{PkUdjCv^uX|
z&qgR|UZsg%BknXUH5EHcxiy`t$505GN9{_BOAprkq;W2q`q@qqN=sbtHp
zUlzf-n`J+UEQa)P>wnQ>I|9yKFdOP9ct*v#;;1obiJr`wXS`zM(?s6|55XVnK9yTB
z)sz#LjgS1=saa~%-^jl&{N^NdaY+M56z%L$<4il&1czlpfigw%J$gl98r`;gPa{aHWK7Rb@5UrW>=M%3s
zXPbt8@brqDKm>5^58}F*>go&M3Jr-E-`P*Wd2RgSwKD2^s~IWbnYA@i#JoNgV~ljR
zaYPudz@?c;)qk$H>`8=MHIp=_$$hChVN6++@c5eUc%>Y_-bMt;VekBe?%C#=h6~O-
zCYp?p=6$J+86Ei+{(4d6{wc1B`eZks2I?V9W(*R!s{*b~sta+IFT7q~D%M#&1I0)(
z(<8N`MN*6V6zuKoJ2$p!6YKaSUl7D?K!m+2K$UE%cdRYli-WO+fe?EYpwAaB^s;_S
zB6ixPb6Aa0zJ~23Kcxc*41^B^Sw1+m;3a~AeP)T-D6<6ft!
zDUrs8h>tVfTDe7KV=aY>?q8SO4-22^)?Z*eXR>inphqd<<`W)zg)e8gLhWK1oBr7C
zniUzs-_+9Ps%JXNTJm11ma;1NmK)_YY*}Q$&FR0%PxuPstoXhVYrF~O#i!mtkrceHw`pFzBR6x>q
z(@6}{2o>u4WadkkDru_AAuvlqwN^{0<_*fT-tF&_{53_>Vve
zL(dQunT9x`UJ+v5zG@Xi7Tb>dvrm*;o#&<%6#YXdIFPEObni{sR9DHcZte85`>pw_
z{^1?QM{I(+JvlAc?p>q!N-tSZ`RSHUeZF*|jZIxSL&sR+y=!A3a^Xh>(s|5ohsEoE
zE-s>wu2lTkQL2#m!!mf7A=fTOz&ZLJvx%Cwq}$GjPv376y$-NPCl;MFOsfph>u)kPaorZPWyIMJvGq7&>wY{qiiA06K&rrnp*U$L7<5Zm_#@r{fE?4B={9&eQ
z-JNTdX{->NxAWkD#n!>Jir|&fg8r{tn{;#e6Q%}U6GHda`bj9hMwE=clc~zc>AgH_
z%mkpi!IxaC8@Hc_-%?X-C@nDNHtY0A$?QmtV)9zN6%S%cc(Lo`yDR;v+#E;w`;zr8
z<20`)X)EWsDDE4G^}mH-D{n~-xt(=4@k0fH3SLc83QYeLY_8TuobP!H^b(5Dg&`+l
zv)qOM3;^E#zVHEohUVeZ7|ss_OdDS+*n$V$`wI2(Lwtav!!XEbzybgwt_&*8AR^b9
z!Z6GdYB7W84a@`8A#r|}Lanh^@}4Y&oht|wbJ*)Zm!QOXakm+cx=+b<3m3iYY^x_c
zuNU7DD<`A7K&u;L`wzWTmO=H#%N0I|A%D*D9tT>
z55l$s=V0%J7x=6n6tMm-1p39lPl>iUl!frMToQU02U$Ll7RY)G%CRaRM#E~P<4HhT
zu7R|iMS%${M&#aN=-tDg9}VPScjKj_hmYW6#HUIXYJm&qgdV+qFa24_jmMiZ;ZJS0
zYecneZqYqrtHq7=)deAujd1lLN}~n(z(g-nuS*0}t5>-KTFOOX^DBEvP1HIBi)iH{
zh!>M3jzh5&5O0|eqAd<{+%;4Wn;fC|B)vOcvKjXos!ti`mf+S$p+g&P64H}T@DG4V
z%d_suJv@mXzC1jC9&Ni7Y`Z)@BJilaAcJ9jprOO?4-Pd=cyOqL?tMHPDC@8aVt8uy
zJ&_n$+lT2xd*&K`q|f|$bWZ>C@&D!95lkohW@;-XmQ(+m;0hL^-9sgEQ_ok9iG=av
z%z(XLohtTAvr||d40Kr)s6Uun4WM_S%}mtfT^G#E1b}C=R;+g*O(Z7#yn8>d^T{TyFo1zh!J4q
z7giw*E5M9Li+Uh_J^b6xP|+TD6E96jjUxqvm5%Ac(pT#v^0Lf4&sG%5Wl|E
zX%0lV7y$^ly0H5bDG$|)NUw^`7Q*qFi?LW8adUQi)F*B3*R!}WQqVNDxG=IjVmoWx
zIdeWey?!WiGIpwIN?_*l{e`xfmS%#4B1O_Gl)`iXYHYrhYj@3&en&>g+3<5;EPr}>
zb;fq(Wm8Ds6GBEbYQq3f5qZ}flkUx!^exTTdH(+NA*RE-6@SouSY+m-8@)L9RPWwP
za4M>iaT;>MFCB=96JEPozLHYJD`!Y`?tMa^2niOf#*hTQtRwv2-}YC5QwPgDm)P2L$EC*1Kdv@nsdFdBOc^IzWvd2$BBTZXS#>64=~WQlApzB;&fxR3$D
zm+mlayoox3WJ3Yg(5_F=Eag_=NQ}k#^l#&X+&)$!O@ZYrMXnLAhPi_4q{{~L8o6eO
znz+xq#nq28&Ke)I1P`)Zpr%yeOX*8C?;YE~TVkf!m9D}Od}&{`O>B-UYA)&FZxQsXk&%nM}OpyAXK9KX~k*0CPa30
z?`Ppj!(-?wAo`Uenusf~+XvYiSlBgufdZ)`ID!Y%iU?#F;MCBiSDZU(wAMHKkw9XA
zoRY8q*L8}ok2rOAZn|(UbrN?8{NYatiD&=C3r^~1ehQEp*sVc*WY)7OsV@@kDek{N
zqtgp}G*5{aYfyB5_4>as=5X&NAZdefpx)uv(IJIJcw&P;&HwrMfBQDSrHj<1o*0HZ
zi@){%_6vt$3$b^LI4<{ZP{WTCor@`MOYOI9DG2?<&OW+qbH=Ox(a4qD37SwER(rXm
zNSw#sg1BInwBZ^!6U|Ki`Hn54jES9LS6x2W6EV^Q>^Dcw%-bGiNs?KK>$fzy^Kv
z-1UGma!Ub0+%5=(9TOrb8L~iT1|&&_>q7v6vfSi0)EBXe7SI6XTcSj;jCd7--3o
z#<;|_8I@op2TfGN>N&c2rJr}V;N5jFa7);w8njASBz~=+XU!MyCjR}}7zzTweQr$a
z?WQ?ScTPg5buJ{J(jdJAXxM2O2h|BJyU@>kce>|;;WH0_8k=ozEce3y0}%ik)AUOv
zb|VC8ol#E3|N91bNQZtySlyBWub;54Aek_b^8dN|z-#&sbb>Ac2Ko}DBc>m21H}6y
zJlv98slXUcSwag;adpotyh)UjzCf(2(f7><8yJxxgp2F
z^J1X^S?GOnM-RLq2st8&!|j|pbYQ6n%b#b%P<)NL{~EYbQlS+Un%tpwfl7SatAklk
zA4KDuzC&Un$Ae1>8o6CY1Fu5@-T^S8lX^R2dPn`P(FD}xIZmrXva(2f9eV6g`#a>H
zze9dL1xQZrLxB;x>TY$uf<6HteVhiSw@xUImpXr$R~~nLg4eZRg>eG{)l7A^IX)LA
z`&@p0K4SS(7IUa)4_nF-^7?LtUeO+rC6kZrrmb2|)Z
zO<1pM8Z2tEwJ
zf{(BurOw^+2TaGIaMc7#VAq!1K_H7{<3&(;pM|-3(WO`@L@gI>!!^R#5G~{Mv7IGj
zkP4XfW>Uc0jp(KIV-HW1LFrgVVX0{w$JP@qHh7=7~18wLQ0cwdSysfu0tcmnv-p|2iLIR5~u
zI%HYo+>k~Lv{J~QIo1Ys5e``f{(Dyn`fk4qiE&@KBiouHwahgluC1l@5xB6eyAX3E
zB_*X;xq~V2i=#OWT7`B=kTZ|3t*v!qA(s0Gzdw6RH4BUKqxJJ#37gJ3FDx22UsIC0S_b+S`S}OO-&Vr_CSCPB`G#p82s@a
znp*K}g8)iN%gXBFN{M=l_;w+gIxs8pf0wLp-6ZjQlIS$Pv_sG^{b{1Np{P{Oql(^~
zEH2~#4yU;OR4j?XW$f70QVH`frTj5dpL1yE~bEDAzU-k9f0eu++*v7Dh6KM+sTCBP5IiVnR?`krNzZT}h=}n~%cZ<2`tDIO
zXF2*`HyRkmM>nL)xp4g#<_OyDxt5{k^9ykn0f%C{1u66bKa`EGE`a;<&~YC2E&`H6
zRPKbA@x&k~OOK|Ap|OsDm?)l=c(h=IYWJvh9@1Dqs$kIv2m{oV597YfVYnfxn=N>_
z0S*C30q%G9K_24=^>gSs?I^lzxJC>^*mtQBgp}&9j$C@(dbk3Z61XLanu|1+m4!dh7
z`(xF{+Pe8sEOhrl4YlOqYamphqj>15+rLC}u;&;9{~0hxs?>zXL%d|e+ZG3J+mSoC
z>@?X*E7P+_62V8!VHzJA8{z;gwq{VLa`{t33!EvRGXw{<1`S|t`OhhJ$_-WsQ+8;~FfVIWDxK%Xo=pr@1
zI^K;Eyb9TT=6>_0A1b6m@ly#Ty$!L=go;4}NWp^cfqjHU06|9s0yGdw5Oe`d$d=aJ
zkiMQ=8Q9lDh_c*PqY0)r+PelL9v_u%1S9sowT^$E%)_r7pSVl|qCUF0EVW6H$Uti*
z4yt)wB{HZo=(srn**dh%olv7j)u-hmcgWlZCGs2AavojCEJPf}FheK})hH|&h3hF)
z6q3p_`ky4+EB{7D=?{-j<9E%kIzf)&4s7?AWPr9ag{fZ49~mgyIp<^(_3@HRZ`*ki
znGe2-s))Y=m9(KU(+<-%+VWa8_7q_XT2Ls=KuJ~{;QOuvo&eQD1wUPvNp{3*g0vL6
z)Qg%WAl;dIOv3Ui(VF^-YbB(RfxH<_>VS!30!q^>>5Z@0Vo#Wl{chE|@67g2`;gI*
zW6N98B<3>9KVM!zu=s^*nfkR$yJN4FUR};&!a~&@u#g*UOVH{u3EB0pcaot<1f?ve
z&ccUq41q(11y$6LCtFu4HiVDc%o;y1)djauT}4-TS%QmD{}h7#c^SD|#84i(;%=!b8l
zV6G}US2e=td7$Kg7@mL#{0tx+qh$lY2>4{K)d--?c;44nkb3gz)@kqKme4S!S@0t-hoY5DF{ZSQt0x9+&ULBFPY1nJTO8+L
zAC|Q~Lqd&t)>GWsAk*I{lCm%ILVnruM&KkVtIvBPnPupKy=u%tr`C7HMVI9$P22n8
zkbx5U9>;#RGgFUrq;{2d{dT;&n6l;b=aaH_S4*0fif-riS$HpXH_?m&GdMI1sH$#Y
z&xr!dXe1KP2FubeUMfm*eIGJ>JGrdtMAlBTBQw_hHY<+3Z*Vj@CRQxDuR)?WH&j-@vK++^-CMKxi!9p_-X4K*+qu!u52;NJTfMi%JJr|+0nic
zVQ$pgCKx+?D)1k0J=kS|)4Ua^;J6nn;1ohhmqw+jx_l$y_Cv0g6mrk_-IjjE!nJi0
zb-iI_{w|sYC#iynE$P0+oAYD5l6nc2SrOV1mM7%m3&yzhZrmxb+m7y=A1HIt87H%_
z)0xO?G^E#6!6*IV?+H-(ul?~Z3(4JdjlXHR3a?=Ht2RtA|=B}P*YXiH&W~Lc#ws8ssLb!7LqM^uo#gq?sDwiG
zSI?VYmpJy(&THwFjw!gbKU%lZ>$|#xqCLm}J@thE{#zua^k;=kry|ia8A!`m*<$L(VMjGiN#7A4;lhOoB@x5Jz;syLkf;M|!1Yif`mRuur
zUEIarA0!!7_u(rMc_jp(GCW0lhTz@&W+LATWT(IfYg24*nSM)>IR6!**j$zS+K9I3-`*
zUYFt1&_Kuekt#vp429Q?-y2@o8jK`W64T|~G*1?3yWv$KkJqc`IcXrB_(SxQPujulYmiB%|1
z&(5ABxd^J9CX}j|hA{j@uN^tSu8t4Wb2tD~9p`*uQ@)?3L5N1tKsjd@W45Z3NFI=iy8*Oz1WO
z);VC$G4-EjfY@jqBEAJ+-yesW8ecQ+Dx)lE{r61Z1LT6`Z?*gG!-Lg9_Fag%5xOmg^^<)6tn)&7L
z=+^Yf=wyR{r>rqjgf~EPMe~Q-V$%hXhC26IR?n?KXeSl`$tv7l>01PF-53D<8-On*
z5Fpz|Knb)hRXPXT3wX&80HBQlgi{IHTmymejt5Nam;eyps0A4T8`ky@SMV}rgCfqG
zjzg!&`f``v=Gg+k3$fJ$zQUz{keu!gim}{a`pNc=prGIqSC$`vPp|UIV@yAr6n7)&
zF0lDMf_Kj&RvpLAJ1}@vde&YVG7%0=P7{DRZU&^oZ6GZL{3sfa0Srq@u&uy5v*}(CVCIHjfJe^gpdrpNx0YG@mu5$n}<&Z@{dbWBXSKJ7h{PpV#
zkPHU1fwL$vJGcMk8JJ3cZ`at&5Em~T;(i>Xvm`uDoTzzb9Ol0$1i?s6X7?RkJ-t|n
zq)xAIl0K>jIkfAuDp-D__~F5Dl_fA3U5HK)3`f`!h<-QvUBRz6yMLckdV3HM>9OLl
zqikXe`#jrIZ*eS3KK5j_qTmbhDWckkdELZ5<31J?Ou*{N2E9{BS672wWqeo22mhz$b0NwpPlsGEReRlsSs9~fvyVeDrEq)#>-
zqG0Y~B%7zwGPdLStroj%mbxi}@pbQ$p}1it`4XTOBjLq&VdgG-{h(64ymjevX9+85BZ(ahEQU)q>JjZX581zh7oJO0CYktxVpM#*(Ie|Lj+e(>M5;1
zx(10f@UR0$0n`D)-X9FJD%iCPtR=_W?C{T;fS$GfoIb@D;4z39oja)L34CtBqhFpp
z8yFZEQ@jm)Z=j#bF2Kf*MW2UZ?ory-g-KoOsG;Tu+=-x&kTFEDVI&Gnor>Ag*RsR!yLHVgS)^3e(u!ll9O>
z3o@aNR)CEj1z?G6>)c8*`*mrW>B-5-<#iuM>n|`Vr>(Q|b(^BZS-^R^H}g`ad4QZc
zJbai86Hp&w`
zJ=q4Abs=?TIZz~okYVM;wB~Rl0(&=-jN?C^mv>#@b1T!@4v2o3=bQ~~ENpxfsJXh|
zYwaB!p(MJ}Tl1HLPA$&DKq0i}c7@OoWDE9)o}5=YU}f24Vbn=P;@lfXh?$#WJ$E7ibjl|CC{De1iazxmP($8?X`4ZazkWpg}tcXX8s{ndNN?u};?gFk{1`O99psM;98;T{WPOxa{X
zR|RdA3ST!{jR|T!ZaL8$JvlYSt<@fW&)nl?$@_?keM+M%-O{T2eY#Qz;Y0pVy6%-4s^}RH846O
zdh~{?L(WJ3isuZOQim{#V+4nYZgU>Z0rWImJxrh&oR|Y)Zvs{G}x<1rJp=L@bIM;=Oc3S12{mO22@W
z)-G|j1>+5A%V=OVOa|K|3+blvQJBcv0Mna7L1q+UE;(7ia}$^gP>9PK3)=04tYkRsMO&p
zB7zEiP9Ukfm&9{%3>_16j9NhZb8WYYx_qxf*u=q<0XVHqFj2Q-E-wYl5JJsXsIY+z
z>$HfRfEzV|RHu7`J3J*ayA82}z*Y;2$V6t9m^%T?Gvu;2>jWUt_-Lial%#~RSeRIp
zz8cx0N@eXyGCn&d3xeu|09GE}D4-iaFju$vN)j_`Yej8sZ7>+2`^k@u0?d{*B%0S>
zR|YaT&$kaY29?u3y%_|Ck}kZmyc=TX1qehF;X#2h6VWub_4Gs_s{rEP4C#z8;6mf`
zzGP6b+FFZo7>aIy(xWQ@w;Q=M8Grx#e|ByDKYQ0a`1gAUcDS?u|Nr0&mOKZjXY!w~
SP25FyBYRcxO6Dc~C;tP6IV%GI

literal 36123
zcmdSB2UJwswk?VQ*($+=2nZMmB01-zq83?lMkvV?NGvj#Kr#Z7qa?`|Iin&;ghF!8
zIaHC0%$o~kANRZGxBu^d_ucnD&2yl^u2pNzIp!FB^xjALD9Ak`I!AF14-bzB_V|G!
z9^PqBJiJqQf1Lrp(XP2p2)>;$kbd+4d=M*b
z=YRbuj{9)p^wEzOthqgZ{q9!anF~ihiGTZvck<|`xBL|1zy5gf(WzfoxiM~ncjD-G
z53Up4IQqf!ZSsHeVrowoPku0(X^pF6y{X(jR|x*mW+Wv^u&}U5=KdAO^L$hsrpOx6
zk*ibTt4$=Bm6<8k)zuY}QssinEGsK(Buy$fLwM~5dMyk+qoSv$w`kJ_yZ&mdr^dsh
z&VXaPI1ov$0AbA0-VQ)kv4brYE)|C2ZVU%Cqa
zKfPGiZ0-x>Qh(|~ZiQSmHY+XdVUXB?V~{ZJDT&B>aJ$X>t)(sXgWVsfxF33
zrk%UA9VEQ^mR>$S`x$4SW$P>WugiQ$(PBNJRbUjL>$1e7W79-8v^v<`tvcj55ujOS
zllm}#B2_kqcP`pI_vhx)z(4>_SRRDdP9NI6d(Qb+K!0UjKGQZ_<)WgcmBpx(HoLcm
z#)i-2YL_YQ@8Wt+kq9S}a~YWoS2{(Dx|LsLR&TT1BURJB3Dc}}L`6qO3#wc`x{i1+
z{xDu1g$x&R!cO#lj
z`|=IrGS41e;Kt%f1YV9_jjnl5ZdXppaHjIzE(Ch1CoiEGG2qZx)78@hmN>1p{-Qj;Qqixac&+i2C~UE{ouFW3lB2wNRwT4
z(;FzUQbQneaw}KA6DNd9rE;5hGsD_L=%fWzXns9LB)$XLr#I)x!12=H8*#NQ5koHa
zqN2Hs11&3-c&FCDp3+5Ve>l%px%?JgvHbP?#$>3x+0^&Eg_T}Ar`}1l$
z3wnqB7&yG%|K~TK%R(YX0@AdX5H)J5s&}b_$WRnlZe8_bjFTg)Ahc`$((sfsN}0Kv
z1$RcAPmq1BYfU)t%Z2f4gkphTo@agBTK4b`X?m6(@kxBen((B<3vN$ck9~U)+@Ni=
z5HfdXeXip+I*!xOw^anE4J{KAJDeun8q$b4#q2;ndrQ==HVDo>$bSaxHDqvYc9
zqT4B(i+#x;-jUAVpWQ?+Wr8gfu$`VAcENVll89wHtxem{Zzmk?%?MejQrUMtVP+qK
zH9b>&|NebQN?IDdVL{(5wb!llU0D&dj0xy06bjYYl~_P5dL||&=6%yMU+s&63!jND
zxQ_IIX!g?~7WDc1Aqw512HV>|ba!_{m$>@|zWjNlRy>2L^hBY4?HO1*5#QkRUN}Mb
zOkV{ukF{!D5!Ma`{=3_cuI>%qa~;2&(3Tt|nptGtW7Ztbl9`#wDTdtJT6yH^3R3r*
za5Yt8-8F`omdw=D)VE!UOvJ9E+tuh@vU@1?>?IFTfitxkAURxWc&ctq=%r_GZ$Cg5
zRp~KiyByI5lC|<8JlH<@0{x2|?#SjT;$49)=f+cqSJ!PTK#0uw>Fs?;**~vfJ4AmJ
zpl|bE8sl|!cROtLhO=mKBQe@4YHB4e3mf<1wLYG`OmEWrN#A+uy;`ABOZ4Xkf}_{m
zAsuqg`}xYMsV5X&6zK8vYTJ07Uj^N-KZ-NXcArtm5Zay$<#Ar0E#B}tdJW!(kJ*&s
z@iV5F!LmBmQ%Ao`)N&GKx@en=ZPu%enr^+qAX}v
zz!E9z=&+a`>X3om@dI09{@L@ys<8aFtM10eMjb0b+&7ME?jXacF<%YE?q+6XF*yj#
zrhqf=z*kpa|B#1=hqUaLohm9w0=>rl^s^^5`n;W_2KskBzC-YTpjiK#GNmmEfP_MS
ze81pq;|Z-)zGw@0m+>G+Lz)HL&GM6wkx3Wvz*9WW+AX#N5-siQKJv>#2w2h-9-ik(
zj{iy=@o#SJ-+>a+I#xXKmAwr8V6JJjEXLX$H58slXZ&^r0Y{ixHw?P_?{1{}BbH}y
zrSQ8VNEy8e4L+l53!T1F15f)Nc#{}9NYgx46kecauyi~{XUN3a8rkX9Ja}rmxM#*~
zPeSQ>${r1yL;V&{@hL&koj3QIB`$6+uK+G9n
zY!mp#2#Qg7cz3LS{BMR@|5~EEzB+iGBrJV`jpS=ap)RqN93yYTgr@h6kTP$KoB8;c
z0?9`PcvXJ{+m5LsW&Et+aXmd$Yr0uNX?ZKzE@p$v)5_0e;7<1Uha^^Fxt_TkB4xJE
zSkYkoS5`56fNKf?MsHV
zuav}coEICXHePN`Dt^s@^QuAi!doNdyL#K*p8d#+7}8u5
zdfl_R=nsaYFfW7$Bua6S0j-fKD_Ke32=?PRR!SJk3BIdDtxgeCEd~lq6B+yChW}C$
zWz(ATU$KRCsF(4zVwO==9=j{v?xWWkiYFYEMC)(@_bY#}8~Z0XcZ9Vz6Y}~S@=HjC
z%nTE6tJjOj3~x%zE>X?}nqD`gV8SF={KXmDTUpAOP=Ya4iVd|A^4RKYX^m80eE_b0
zHi5V91m4R!!W&14_CMc9{42WupLHdzYi=WK4i}%~+s?EaL|nK#XQv7Ng><&HC5DHG
z-%{&zIxKby<}y-BMr7Z7kBO|*k6o&7xrQ6$V7wpG>wGCA_jyC?FgPWtNvzEdhw1?=
zBeoTT94@w)$k+NY(u#g#0lB^d^%R!9dCa0>->&wE#n=$k4N*1^Scfqtj8qI?F@Be0
z`Mh3va!|;|b>fOrwR$tEHS${<)6glWdaSLYDNcd3o~qs!`=gI9-kK!zdBT0VCbat~
z@hTxhlxrwsf&pfqU#XyxSM@_5`K1woFXW*M8w^T))_Kub`P!QLtPD9Z&X3g87@#6uN7Qt5bb@98s6KUuaCW6q
zTm%)PwiL_EtQp~mHi@T}?jB)v1s6g2=
zc&2~Oc>B&Gk0Zv~Yin1OJ$3DpS7<`f=7UrrdTM04G)QJ0ma2ki0|pHSwi$ieK8rL>HD$48Dm_TH-}}GZ-?j-u@tQgT%&N(-{Zmq<->!0Qop*%-D=Q{ISbd!I8m@a
z6%U%hFMmlcesu8g{%hO&|2NyUuCuB4DwZP)*;`NX&Y?k@zmqDID_&AA*P$V0q8OF$
z6+56g#E~_R*q$atHn`q%1KBGFF0;Ltse?%j*G)rBP7U2GOW~sD8HZ_=-^Ecb8FOJ?
ztYXS>Bu2gDoL+GfA;Rbj@GT6j<>0#6JuP
z){E-|wsML|?&W=5zKNkMaVh>8$2NVS{oQz&Z>pJ4XVO0-yQY?W!q{RUbG#5O1g|_d
zv0dvNZ*79Q&UdrxPu_wWjdh9#>_*#!(~I2y-cp6oGMxSh}x1QuqK*t$N&
z>(B%9B40yE^nBhe{lD@tO=rL-KJ5XU2slDzb3VIBzUhQ+4-dd;nHAtU8}sp<%JP434>mXvX=7dL`y~
zk=~o5mb<-qSr)oIa+;^Xn?!XHGHBu9}D|J
zb-CNM-u9JGs)Mvl`|=kiM)%byOky{HjJNc^r%xLhzqQ(nT_)Vso33LRoKRL5Wlr6z
zU=xJjt=E|hd?)lUr1Ga1eAs!o_S30X1Skmv;Pe}|
zL0n})EF;NS5Y;pE$REbu{i{TBM`+j(b0!#gwAnt+aoU_XB6tKT+d
zjeC~R$NcZy;SmlAkM|u1c~yBAK(;14MLtrK7$}hyKOE#HR*G_V*234QFpSXzzxpm^
z{MOjb&1=oX;44`yM>R(RI73~tg)n)k47%ym4Ps1N8UH0`h(_hE1-^YW&4evB47tfVz_R1-k7dTm8?SRiHCq1lK~8s5_Y(X#HVS>22n=iG>HnGQ4V&fK>_VX9K7QJnlr5pcb67jo!Gx@wPcs;xG
z^zr~-GvBRcrE>TEUB^mS(UDCTLqo#>?EcP12jCQmeRA^h)MRC4y=BvzSu12#9JQq*
zSVdBzeqY7@1&?QROpHC)Iuk(lM6>JPy8*90*jWfk8LRaMRD9;r2wVB=Es@P$IG}1n
z0r3PlR)|Jr%B#$;MJZ+|54`M<4re}_BKm9d*#BB&eR`gZRoT|Iz_NOKTD;yIf#|Bj
z4Ku-Z+9Rs%8sYGUz%D=;L;F_La;bbWMA~lb4H>od55PAnKpdKCu672rNAo>-dg%+A
zRnA4jPBU>1G?XIFh4lfHJ#!q*8j^M16~76^g%Ajj8ZL~obtF%ZGKqiK6MS*wbUU8&
z{zlKnpe-6=cjm#?e3<~u=Kes)S#;eK9ytk85#3}XAhtdwz>w04jKSE=93*S;L(+I(j~J(;lC
zpGc-0zDZu3PAjr?5&453y??R_7l@);U&TZ^)^jVT;cg+z`GRcHg)nxY-+RY?n$#iG
zQ|>&co;+H)a8I9na-ks5@a@_-MvQAubRV(3$y2_zK|V>%V7TkhD@`HSC~@#Jf$#d-
ziE6$Vb&tPTdMBQCl2O;wQy3_`Qj&gUu?(G0MY#O~n@^|Lx=bJuJn(r(RLh2<-t1!@
zU+O~Fh@;$@3sU%ep7E}$u%*6&M{6@^wyj*fYV5+nF1E*GuffA){F_htMz_{^>NRZL
zgmp_4*CX7pOCGiR)>yGtiVj6Abv8yE;$u0rX*rSphf;As`*Ly*tJ0H7qb+TBritXk#
ze{!LP*WLzU2g?fDR=-OzUo|(!Gvp*MDlEKGb_?7_qA(91W%|2_U^~GfUem;D8!qtx
zDJNZ2_ojDy=vQe{3hd>{qv5$L9W|{h%(Z%<`A+
z@Id1WmnTS2Lar8onuYjqz$FS*Zj@tp%dyqFh0YshZi{f5j-KkxB1^=Hn<`1<(sOdmM_dsnwMpN`x!`vt;8kZa8A
zd`WfOD;4;L>_RQe=hAN1$3Fjhc1ZJAuQ?lu-TnTIvyS!ls+7@hMhCB);NNJHl2zxg
zdEQSYWa;a0DT6;ux7ZGpu7Gzh+BEntz?*xTpVz}2i%}0%@VQh+0MzZiaCw0DJNbkm
zlkE21H&LX5s6It=bD6CXXOJL#e1%JPdy?E?@&?%^&R
zqGU4j^A({~E?jJkrWV;q;r7iU_H
zR4<8Q**v!Wz$wfLc_e2+mrCvaM(W-v}LZOv~NSraKFfR3$c3QZ2Cp
zO1qm>f@|&oAV77ddMyrXQtwZ$S#CFXGf&{h@zRh-3D_D9V8ynZ2d7mZf7}tW&$SGzW=5Br6$>5|`LMz}4h|e1E-rZ`%c&T7OaS^1CA)5k3x=
zDa4OXM%cTX_q}F+aN+W>j<_Kt4aerd$U!k}hF*>PjBN^>%HADbZ#KcG^De{N)O8FAn(U>M)|L9SAtvw
z5)PZ`>SR+$3Yo5>1cYLIHEf>#Mym=&mNokhuw6DM=d~8Tfq=des{|-<&LDvVN>;Tv{Lrkx|J*^-Q?|4RzQ0T5j1V220T!{M`o02W*j;L5=MEQ?)vuk9PRZeUS5CQ3J#Y!o&oC#htANvEj|$?i{U+aX&Vx
zon;%;=H5chf%$+8xt|PuGSHwmKAisq-sk@Or(q2l#V3?%68gV$kKt^ml6=?a7pLf8
z=dUvJPon6g!wdHhf)2NWmP9>%evphaJ6L~xdkDo8(Y*1LF4g<^b&YGnZW~#8?`cI=
zzFkI?NaEaTmR9r7ZWvqe7@~`1+pg6JM1u0&RGPg}0!UxY^zu40Wg`Hf%XT%}2(HMY
zFaPC&FhBNP3lETEd|#I4_6WXgU~F
z4vMWtSdV~MCuYq7GnfIc4%>}+q^9Rq^w9rWQgk#$odN28G%paSSw7YSskdlfS5I$5
zUt33K=w^h|eica7CHwBngy}Y4D8$9jmcctgFS|el5eYerO4V9kWqD5frte*%Cn;sq
z?4sMzR2_DcUhXl4Np2#=->KGeR}_a+ZtA)BQeqPQmz-x>d`MzB_5+NUPguDQl2530
zl@YAEDT#_EpHJ-bU1mfUb#wp%ApQ
zg+R5>Qm48Em0q`Ns$+JzfvjqG|10N!ZfoY<`;yNOwK@&TzR|`IG1Dk~Ob!&3x=b(A
z2Eywj5Na3ln^`-MHM=@6#XQ|AZtL-H4hhKR9f1txhQmXYVe{1??}Nt(I3G9AesJ%#!VT3AP{Rbkz
zdVs?WX_i>VVZa%CNvWRt@;EFkfS!)1k&hEBLZBwibIa0dXJ|v4ilg|UrjOe+1Xy&0
z(Mrr$J3xfU8if&ATXFWz2%MYET
zsM+btGiy(QQHhG$&nvTNyf8=b&LyAMkjn+6eHq{cP_ef!0*k|1
zy=B0nSFH`5E0v!<81%@CQPj+7zeEa)ZdsL>}_jSIOJ4s
zKZ))K6OI=)gH@@qH9K4a&4u1(IomXLm79+zmlgTv;jGj|tH
z%gC?&i|J?oUzcx7eGSO)5^XitFp=6S1*X}hSj>qanX-nm(i-FMxK6nda;~HZ(>qjp
zW1?R06v%;v
z(wnY~*L^oC(4n@SYfl9=^U>b+KGuU~G;1~*TBxJ1@{#VeoSiQ*Vs{+KFDL`6Xi2WcdV`@Mq;0;W75Qcz#a)CPnCd!Y(G%e^pPCd+pUsD}iW&H;jouY!@z9!Beq7=x
z4|%|5Y|4m@&lRQ1Cy4G0gKzrQ8T1zz2SE&v$4*bfRV=xc;s|E
zE}l5908u7QWyT-YC-42NUTuvY*VXs?!4L|AnQ0Mx6d^$G_#kbb?1C%OY+AYPZgv5(
z1RrYF8R8v3KoA{JaZpnlM`QVXkx6at2k7!Hy!?UL11d!x;u=3W$>2Q)lTyR|cfbyw>=bHV%<`>H@+
z8GLYM93YAi+A2`SsB*Eki2~g2ds`<9s4!q>LTM30+ErT6U-5#lXwWX?eq`u)@EzdEr^y>u2%lrZ73nX-!*?K@vjmq
zwl@QxrQ6l2S4n|$7DAxqphxNK?4*VD=NtO93Sotdii^zvI9SU4Szz+>7E}>qc$Ypk
zfcQz$vMiH?nsyS6XXPl=ljaDvo{aQ(&@^6+d<4;;9Q^Y$iv_6q!)d_ezViepa
z!R~7@BacI>R|2f=#K|?U2~)W&qMSj<^H>h@v*?r;4$Vy42mtQHkTa^5x_M>|;xyJ#
zL2fd@1`O;}@iUOKEa6~19k8T{;IZzD9jpYMawL7DPjutPvv#jy#CufHz~oFE2W0_f
z;K3$GJj|i6X1M<*bDn&NbC>I=|H?4coWBnbAp4KDT5Myg+On0wPh}8StqK~TElNrRFiM62vVvkYvS#$t^!=zSMIQg$K~+5gm8Sv
zh=3d0yA*L8x|!ekBVB4%wX_De?-DiSr|fCv3Be5>QO)EsCU8v^EGFxIE!NYh=Zu4A
z&jcw7Pv_{_Y89(^=H=Dp%f1?nPu&{EyLjQ-lycn#wOM;jllsrLq!UM>h
zmUs~@2%=x=MrXYuBslwsO4}++4Y+D5$sp;6ihw6lrgbe(y
zg6TmQ{!#8ZNyg+(^P%Hq_V#RYQ1>em(T@Z)u5Ej<=6O}BfM-W|2hjkst9&Y4%dVNF
zT$Md0p{4*>RJIXO8!t@9$`0*Oeo!kCwi8
z{MQH9$drkHz261S8ms3G{&}c?jfbH^X^g;D6H_qdlKPX%R=J%wd{XH488xgmNeBD4
zaMnCTUyzIx+J2{n0lY
zyvud0H*WoFaUBIz{;^Q{m8Y5gc_MBdug{B502S6ZcT4@TK*k-f|6KkH-Q?o>*=1Lb
zVS&tRYhKxZTvR5FQSW#wPQ^3S-Q$m=|MN|J*f$mb+&~ZoEM2v~!UB}_r2Qd2OGRADC8UXDbk5ZfWUu^fFVLJ71g
zTV8Q#UxTq-3DK)`^&Z{8^R=j625P%N>#fA?I`{5R1=8)JxPu4}WHMLU-HnfoaeU9;
z-UKp9IF{ftysKlIdDTfPHkGxx+PKB|i9UayW=VP~tND`GL|@7EHPUeOUrhyz*m_%k
ztXAi;@iu#-my8a;~=L;n$uChx%vR
zHLSOgzoccvh)V2cxM8f%RGK%Jpg#=(Hydh*h9k8ZH!$h1QPsd57QI)=W%O`L*H|WZ
zPC%*Jx7%+}B3w(LusCvcn`i@LSG5yUuXu}GMuye6naoe<{y0Md;u^zetgY+F)d(b3
zjb387yOuM2V?$%Y;#Jvg&FG<8bsSSI%_rURev!bj!JFiKD#3aJng`-m7M}vTn%#ys
z19o4|kn28sKeqR-DRQ+aEmOuC@A;=sx+kwHxBQKeiFagl{sTZ}BRQ*~+oeOJUahJd0B!O>N5Fq2Q<|(_~rIIW#r2;_p;r_^Bj*^^!x^&VZ+VKJHOh@*3+4xWDmMqhnzOczZ2SpwQ<1=^fTkZG?A=HN{j*d>tUap
zf_L58FT&fcC#ZCUKEWG^VeS7!qo6CI;`J4@sU_n32+)PR@XCXp^Gim@3vr56SCPxh
zqlFw7A(G|%asM`vd_wklZ?uqsjBRdG;&m|b5n}gEtCHc8Pw@!Qrqe0JYj%gQg^nu*
zZn%n(u0)Af<+>(($LEN=aWZE8bHX5(XQldBgpS63*%%+dVeYoyB44~uwv(zM*J*tx
zLr<51pi10)R?t^GGO<$Xv=||EP
z0`pQu)ZNt^lvqhhN99@4Q0@mDxO7i7zE1K9633A+dB$4vLA43OrVWABjTVAEfwBQ|
zTisNIZ-yG*H>$7OQUjVDD=_GD0|qjJQF{IGC;j{0L5RW9Cp7!BkGcS74;bRCwKoLJ
z{#cQtGco%z5;}^|d4B?kF+dI-5n(`&2}uFu&@AWxm4NXeO+F#_XYwPO%|S`OtBg@H
zWR%-t50CH4Fsejgm;}dbz3}lmw
zhu8snZ$1t={4=6@osNh`R2zu==?U)T)wn9`9GFZ}lnro!d9%ZhBlYtOfCMg2;wuB5
zv5?wzSwduM^wso?Hk5ug`^|;o%z+lP>W5N=6C77E`j^qN9ijg${%|fj|AO#;Ar5hM
zwiD<7fPhmsKI6Z4QS=#<6j?vM&KY6YiUHYA{6Fg(03v4;{sbbY^mR_XJ&^yqjM9(a
zTul3oW$xTuArYPTUxB;CaiHqo0YG6;BGlL{aDTPSKF!s)qQQAnc|yS>cG`c1(=C?6
zeVK@ywsK2K1Su_%d~a(9YsjZ@$g^$4LEccPnO^K6UBkluB{Mt
zR{YD~z4l)dFTek}A%w5(|G6Oqy8M5mZH0Tnhu4f{s>da9{C#GCr>`2Kx`HlU66XqtzFLl1z^y#z1Z0oWK@Qo2IXY0Wo%dE6g09uL;4C5jx8`sk3+y(mR33XPf`@x+
z_N@Xlcc_Dq8UM3=DrbL#>DMfzg;Ly6_IRyw?H8)Emp;{qbA#HuJ`2?lkkA9K9qugT
zEdWYd?I2Nd6Pj_X0;dp~Y{XRWTB@j0myhcGI}?>R>vVMURKJbbYUAx_VW)hckX39@
zUq71p74LKmDd(;FPzr_He7N-7A8sliu3`XdAb%FnB1PAt(6e*t3ElD@J4zyZ%e52&
zHYvl76GTHEhx^{b=|x2ZUAR~&skn=TsV^HZ&(N~
zCCFYbPPk!JsnL4U3U6tsLJi=cXlQOv?9kPC&zF=5!d5^@GzYf?CU(I^?t2q=l~ixA
z0NY0um^Jj~MnZ3Qu)n+Tf`GcspPY-^YFJn{K~x7QZ6~X(X)~qMc_2z&IEAng)
z5>kK=5RBdR4gfQQ*B~*vOj{1L-wW*vN1lcoKZLCgZ?);~NsRr6`OPW+kt&xGpt#V&
zYQ0IU_@>u8yXCraPXcB<(2{2g^R#8
z2FYE}D5~pP%k+%v@)v>-QH#|=NL6V+c#~jT7CXLDS|3Q2C186%95Oxqjr;M96aG>!os`Av*iFAlhg~3zBY$3(B5)c@_Ywc(4?l_J`9Z4J_z;$c^(0(oWi=56A|9!C@owe$_ymj{dB4IFy`vRX56
z<~f?@cU{e~SOFm1Z0ERb=63#w;!zC*Zed`54@4AzDV1FaFi@+CKp-mmo9*8{rsY|O
z5)*Ji)sh1XlIxeb3LOcF7tGBehyg+C@dspv_$9Av^(AjzgfU?GO?F;T48NN*Z_8&U
zy>jg!F_Ny5Kf1nU#A*{ek_S}y!#0}3E#Op{ONTNw52BxY=y@$sOWGaNAa&+6HC-o3
zXapO0!PY^C#B|9A!fzd5raO<)vh=1sQi(oQ2T!xwwM=w(kqem7(udYcxC5@5nafeZ
zG7JaqCn?0Noi2LBeoYzbz1+9-A&Up_R+#myfhMuN!&1y{RzYxX>Uwj&B7S0heSOE(
zQ?@S%M*L3TEf=L>KOmaWXn8jR2Vcoe6hcS^5Afo#_es95^UM~V45qVcO`lM0&8yzY
z1VZDu(J5J8tKn>j)dm_Oz>`YetusOH>$gR~IBUy+D$rmy7JAHqC{PaQ!}WSftJ&;=
zRw*P|d&s7>>qGz_Ees+|?STiD+eHTC(GWXe_3Ru0qspPqmcWxk2O}V%ws1Hp*HzfB
z=H%p5o{^?)_frx&48<0GAHe4@ly|cp<=H;wj^;9BGx9B9PlDW&QnZ)KL5m1U+}p185~YpVpSM-4M*s}ZTC(iRmkhB3dAsy|=E)bH?yI2*j|BysipUr+
zN69%+B>Ewq)6!Ud+$A8Bs{m|H;<0rfVoW6^CG(l3r>3SLN72`@Pf!sg5!?GTgg68~
zmu}$WgcAWS^{0t)xFO>u9~0=_Kk2`E`6UrhC_ves`WkPi-CyF_5+_vBf^flMy1*2=
zin{toz`7RpT55#T%SNXFq^$`QI7<#jTOFM^V1J%`ok6B!_oO_7m&>g4&c@P!8l16-g#pKrp5IbkT^+C(cVgXfLLwWTN>F3sOcnnj
zF;N_u&uVF`&t2IkmL>n
z$3ix*fX&pzV-E5HP@A4w<|_
z@Iw!4b~9V1$??SF5XguEQlLpoG>S<^AI`gln&{89rdwpn|-+?E59JY
z!0GIJM0426OI@w=i7B}n%o$o=Hg=@)4&C}A9dA{2RZs#EX|7PZ(z|x7v*xnT1MhR<
zAy@qBqW5v}A};ISnet3P(e{0qOl8)=qQPXE5w25p?f!3c2uz!>}_si^jC
zGoSNkgU{ud>oZR1Dyi8=Q~{3#aA4c_FQvV@C@xO+NjJ*)DjB!>66=`om5zL8P>OmQ
zZrmBa-l1ULsdvNbt*yexm?v7Qg%!36$r8FvrMCXG6$im^nXOo%SW3Z`%(rp%De}n|
ztBq(X9ok1r@I%M)JSwdE-!-vu!)n=xqWHyhnlRBxgXA4uGw7BBnO51)%SfSQ^WnOl
zmoQz+Y0Iy6hcd&)f~Krec#UD61T~nHm^I)Gz6sj_!bX4WNO}f8)Dfrk^hKOLd7>qf
z<38|hbb;nS9i;XzU7G{1pfV1=1U}p7!!~3dm*6R@s-~H6XYTAcgHt~TOjpi+k-){H
z+D_K|rGim^r`CvJ;wt;mi)>!7Fp@7%-zEw-oCBCWf)*s2in>j(g1;m_
zY68w6(WU*z1SOtFdmelqN{#{N1tP-2OrQz@-1h6APm#<5Xl+vL_U-LO&9eNBu14T;
zF+i#N(GABGLv`JGHp#nxvEoq>we$8=L|0BspKE$t-7912qctc@c=QObOt}!E!6333
zOh0U3NA$itReAguGbN`Rk!E-**e9e@4Hc<*Z`yqtV+ZQ!z`wj&73ZR?
zj0K6%{|Xg^)7n*bvT3}N_&0t9k2l$QaoryR=b!vyi*Km)QZuJHa?CJ4_#GhHPqp%e
z0g!=E%97fqgH3ry1|zM-aY{32Qrb(ti*$#dt##nnFjU@dxP5CNCD(Kb?6F^iXc
zkX`zPbJ?L?px$n7Q}|Wtz|!j{TE1OE4X0xxK9xAf>UZiS&fJ-~5o+jt%B!Z7mMGAr
zZJA|oa;-f@41NYtHxYQ#Cuo>!o<&{stH8&sh)Q0a@BQl=qv5%_)Pu5?Q&ZC+Qr>*y*oVi*Y^=_}7hF>Gk4w&U{CS14uYM&;90b8k$M<#K;vwD?Cs@(wkV9KA
zYN`-HQAGL|v4cPA>rfnJ{=~z5#?F?qny0;GRLyn1m4;i>mW4sEnYa6g2~Ut;s3Z6Z
zqONuer$tvZFLIaBwO`_FJ;P!B;Y*XkAj<4Haj
zG=Jtg*+_K!tQW%xB9w6kt$ly5)(cpoE%|W>zG3iV96ULF<~X`e)4ymnJbo>??seIT
zy4V7eRAERZkVExT
ziAK7^*SKp+FWyQ7`_-}_1_V+L5;c^3oEsw5vD<+h+o$x{=jFq{ShM$v;p=FBxe>*E
zes`9oA@Z|Y&D>yc(*aD87A;Ue>evq}=y4wXkta~H(f1^|I2$8E_>xffJUz#fk8KuJ
zhwZFUf~7SVvSepr9v+-C=VBSG~1TryUx@XVncf0v?Y8SMb?c
zFnoOcC9^ev!+?X?d<6$)O&)_mtu6rCAT2LPqu^nZf{`@4uJGE?{Ur_^6rYQnp`Jr)
z*#USIKqUmx9?-;$nVDG_u!jSh3P1xz@L5njvV23G2e-{MAZ=+K=m4P9Xa)oX0QVUf
zMgxwatSiLc8;b?#`2-+MbPRjj9cL%w)51HC(Sv2SV4i#(*xVJsRFvwIC-0b>6`h>Q
zcoF?604(sBch7>4HnLEw0DS_aZ9xP?Ch*Ol^R5Nx8$1_8PQ^P-lf&BYlZb?MBaAGM
z4{dJamPtIZXnUXGK)03q8YQgV4L8(d;9_l!0?R-L1NK&BO*gl`t(6Hn=wp(+NoX93
zmNx&jhr)Zar2xVzGswjT(-Kh$7IsBu<(5l@6oLt_Uu8II2kA0HWN2qjERdSi?4QL;is;
z)5c}o+^PW4!NlYM%qnxB_X>lASN^5V_T!p={V9I!-Rh@l@Im7|5#}b$-fP-7yM#(#
zMw#R&;S3b*^T|nLlWX$G^Q!#U<@SZ%Jxyl7xRByL3T``m0?%qFpX>Dbs>45_HU$=e3
z$X(MB_h~P^OX(CA&k?YHllzptYG4w4NEevOI0KP;M={uVJ1C_qUh6o6oL@{aAQ<8K
zOU7f|P^rm_f{x1O+|_khR#1C8_>3ydP{n{h_&C3JcKPaIt+NRLS;bhE!=NF#_iDPp
zfaEOoBKP2D+28pOzqnmjQRH^}k8OXh)?iw<^`DOrt=JCb>w@63#DoUrl~#fve;fse=VpOjKH+HHqXzJKT#OU}QXycdM)PRyfzAze-PI*db8j1i
ztjPkZY5jYjl%eCQ9s6$Xp4=nqxuHNKjqs!4jrPU90xgR?FpvSJ2x(#9Bg0IQyC8xg
zC<=yGp*F^JsN7ydZSURjGTgSYJsnIt1Wv%Y(WD_%#1^F_;p#`_C
z06KKP8Bt)~@&$|$7})ef$kru*med5$NnlLwpwmJUWpVGg6hgOVbWWU(jt&U7RkU*e
z_$eIGD(z9m@fnDLV$&lKXk(a#mZiM}S~2jCr5Io~sK*OQ0rszqPoES(RCYChA+^v=
z_msc!^Oum+#2M-kq05XxV3G{nYBZRUftz$Yx1g=@giljNj3))$KG6$LCoW#K0
za$=GP6vf?RIArXIiX8v5W_gkMF=B>JhC@XNdXM1CrTEMd-~#;@GRwZ+X+4Lu^+#Ra
zFhbz35xtaQ)v7&LMuoIw44%>Scu}bz$PrLi!(+x|Gk#(w@fm?Cgd4qEKPE_%%;4JJ&j0n3%sqXp<~&8
zilPP!&Jpg`Df)!xL_V+0_fLpBEE{mt0gOj;T!l|Ia~_`Hj`99JCfvK>LWn+$X#mHiy_SN4*gX!$(p5v)I5vQLv-
zeB}q9pY5}lHyUSZ#R7&cT6PLnorUUOlgM+K{g39pGc3w%%epXt3SvZZP)b0OM9Epv
zA}OLM5+!GlED{?N64XKo5)~v!lu)3Epdv^k87ZNNiWU^0AUV%Ipxu3E=Ign4zIo=E
z{$Y2U>aF*jv(MgZueG-3z#eLLmO*D$j_eom-d)?`D#p5w?_hq*oTc=Q2|wo%Z=p4w
z^HjaZpy!GV&D+n7qAH9xc;iiWQ;~_`PP~b%3!~yiE6-;|Zn;}7$j*Fv!l|t_(}JyO
zurTxOj-t+ImNNa`>64`GPN7UXHtQ$7SyUZ+YEkoaJ5T;*%#c>}aWcky)1TQMw_p@!
za8dY|x<_Yc9{$P*#)r0Wt$)AuZG%$Pzh+u8Z^GX0h2P-+>t*hF@tn?YpRjAc%CG!s
zYjmeZRVRAE`~O&3P2QN_W?BC6FP46A9hYLP^6QLNiH-lUXfpkS>}I_J>F1LY%4Gl8
zw}8zJiP(0L~C@~nTstK2CT~Wa(7NtM2fy@t#l8^jjj~w22R|Z
ze0nRu|EarLdeky=btj?oX(8S1EQ`QoPO*`E!>5qAMRBlj&@}ztVZk6$_D$REJ7ueg
z_HC7OoZe9@TJBQPQrknT?Mi1UA2gxJBRGu!ZP|KxgL3+Lu|=cbk5KUhdu{xcSYD^0
zRZjZLDdu&hJujU4b1CwE9*;j?Vm*Gt^~osfJ%<|&|11koDhdnKc_VcT+M&uib0jup
zNZQUn|5zDViFzp8;by;f?HY@?b$GO}@e`kJv&{oXJ`!?K&VcY=r_!EuMgIjpz<+NE
zFOPfi*FU!EHwEFVvERg7xRbLgoqAswpv-M)ezL@_jfY|H-s18e
zKwWjBc(m;&W<73cB)+=xN16PkWtXzB)&~E7CPRBjcr#Fdyia+P{Z1p(1`q|cHkOM2
zdLW~LI$TOy(`68|Lxf&{{!(UVkxj;miHS)b3est5N1>(Ga)UDu)jQZ_v;oe5@9;NZ%G~R0hnINM-wBXoZo-fz_o(Z=)S&b
z=O1yT>hxEaFO+8P3Yj3qH=}W432?)&k7Dy(5Ywap=Xrlp?3
z{&H;gePTmS?%)pl1Dm^PTM^ayAu2?Z|l)>Q>ZCw4C{ivQU
zBw2NscFP=Iv>@-V*8d)$zHHE=Wg>q4J1386wU)V7pHl16Ct~jkp7SM{X%FA(b%SJQ
zc7f7Jl_TzUoUC|UQI#GK)#jjXvu9$-Ix(8!WdB8-fEWNPD^(wM)N_SUZwG2OxFOh0
z-*5PJ>S+ZvFI(A2UzcQ?E2hQE9NO7%uI$QFJxEm9%>ATqgNaP2FWEIEGS>kZ0}q
z=@YNyh0&HCbdLO}Q%m
zw#Q6YAtKLd;t@s4{0dm5t`lv8PTBcyIH~_0l0oezu&vf7O$-tppy`{T;%hf}7%@Hh;Q-;Jzw@d)3_
z1k@Z5I;eKqff^}cUcCj}Kng#Qd3JAw))hz`^-GBz9sIjP(>S!RJpvK#!_GdEeP#Bq
zq~e^VpJH;Pe78Y#0Ay8290Psmc5rUm9HJ7zp>W~0!b~hkDf1pZdPHB^bA}6!B-B%p
zflZtAsn%QJjOU~GPW6k83xDm-H&sIJAVA9(4`>uB?S2GI&BqO65SR*`ND))A48MZn
zHQLEx4;e;hDhQKY+1Sc2@}K?2r%R}}zip7EQ%|sPBwxJc^{6GYTsa`iLhHvIjk;4@
z!EJU|dNDQ~`^~o!7qgWp-8w3qsVnal2k8Q>L^^9NUq6e>oD{u-&CUam$l~=pW6Zee
zs!Qt1Z)(C4Tf~+=yelzvrZYXapM3kGL;orAb-K!TowZ8d^kNk}&zWCvXhmjdsy#o5
z<9YK$`-VyUpw*l&?%QReD9`wZd^xGXuZIcF9Ntoa6I#-hjGpr&+b~Nta7*?Q|G3aQ#+ub_N+q-p`LW%L`Oaic{J`XC!#e|c&X1-ew(pKmPEwIS
zFpv7A8W@IB*X|VfB+s0Z=n+tn;P`&N^xBKU%hU~JbGzcB@9?L$*+uQ^SC+)dE6*8OB`kfku?ePubvyb18A_08ht&-X8R?uVi=l&TCtJzj
z`e9{W;Urcm$+8mg!XIS%8OJemY(MwSU%zOcR>7SU*eMW(AQxXGATM$0Q@p0SA6Yd}z-?*Q!+QGGeJ5emVCDn+3)L
zdw7Z!OW#482lZ0nO%FqDI(o`<{Y`iNet$!A*0pH8F|YxW^BP6oyONN}-;a(a+zef7
z@1%p!v2*l0R0-%bfq6zMTs2S{NRT*g*Oq`i5b88gNTvC3yi>mQ#GiDIJAu77N2
z6m-w9IH^ksTKTIpy3VGQh>m$VBmGWXl=duC
zuvG>u?+ra_X%MaY@J=K6Fd&2-YCKtwp*xBzbD#G$`LE2A58{Az6oZ6ZuF`__g=gR{
zW_5X?i~KpTIKxtBZ3P=B7y)02K^k_XQ-yZ(>0`&PL2zxh4?v6;tR0970g!jMh*`^E
zG4iQxyupq2^?Kk5cn}9m+(76g5IkP!=m2E4#l~Ym(c4aEF=IYXc(x^
zL^vYTMaj!KorKq~ReO9#a?w`d8h>l{_@UYjWc49#)2KD=4h>KT&`D=BxWJEykpOJ|
zjJhb^Y@4Q}vEJIB%nCiOIg?pVng-WFRf|o
z3k#1(#fGY?h6jam3{nnFX*)_moAMTU#tXI3YD%k1pz5@>qw
z3(NOjLz{$HeFDdNA%`!-@OSgTj^lKZd->xh(u*wPi>T=
zPt+t>jHpvHf)>($Fr;M>#&h58now7TaaQp0!eh2mC&D$E?>2JkriMh-P
z=)N9jdr*+jNBNwbCuLhZns>3DUo6y(ez6fH|
z_5Z%?0tT5d0aSPa$4jdM?qHfdZqtx+*a6F;!Fm4fnl}e<&Q3v_6v;YOLa0%c0EdmP
zvP-EeU=^W>C>r~OE~IfNJP16r{hDg7@M3`M=i1vRBR<8+dfJyK2SPUwxwGUt1H+6d
zJG?}XZ|`YozrrmoA3uJ46azcVp!{rDrj$g$gnYpf^2Y
zVP!1=@)zKdAMfvygZ3Q2TE24wH%dU+2fg)dEa2RAC5r;cPi%U$Q_qm#*aD3-W4m>e
zBQ8VFIfU#C1g}^X}dX_F)=;S=x)I1DXapO*>Dw92yQE<<+T^
zt7%|*b`%1JO?DHfoR_1$FqagfaRYHBS6F4o+T->!+A#)!E;AJ@T_`0)6C@0rhE9Jb
za03C_lLd7ul3`GOqZK~I*Y0~x!FLMX!6la`tt;j}g>^l1&(KMbeh7#v8fg$X>m8T@
zTA;Le>+JtXq`-7m6~<9@o)z5KrwBJBKOf&6EQIL-x);G!tBaNF7CEj`MKw7EDmSP_
z>&kS!y(%W3TnX+avz8pJpQqOs*zE~`!eW?#_q?fRxRq`jPDzAB`PMC+0B0B^
zP)PRzMd)I|>;{J1V8^zD*+J{e!{z?7ti#M1b-81xTw4TYWopmc$kbvFSTA3rbM_Y9
zC2~dJ=@<){tBn-?y0O$dt~+|?s9cTcS4%@`QEG2vtm5Um9J$3z3#|f=-*gS5zxdT_
z4!sXmcVeE7adD+J51w=~uPMF1DRH*xR%~|?Z)ctG%jN39=!0#fawBu1pY^`;maa)r
zbyIkmYgQhHQLn~~(@S;ZUaV-%9%gl+8lf;_^?|~eebc9Sk?8jJs7ld6Vg1*WxJ1DJs7K5xIIthO8(@;
zy)G$8Fl=IYh>vftfGHsW^RAnXE-O$6$z{wJmCvbPCNIw1!$JsT8y1$6v=Ed
zj5aV#zhqo@L^_2>6yNf+FhVCKE#+11Bb-TkZ8z3CikLa@v~Xd&oAZ+e|5Sq3Lh-FD
zvZYa44?Jyrb7c#(8lPTFkhCo`$lxIsg|Y1Z#wLKl^dAmi2WtOk*8Okaj%u6^ri$^m
zj?#n>^Q}<+v^Qi{`t)yxs_DmpTBh=+y_re^=ZCtZ&8?ljFi6)(cpW}sUw?G4D78`L
zDK$CP>|@Rwgsd07?<#bH|833@DqRo{6}|8Jk|%t#(SmU`P<-5W$W>YkwoNjM+#Crc
z=<0=5z8q!RBlx^ov_`BB=Qbv3QQOdKp=ClFJuGRv+h+WNt;iU}$`pqG?bm=$b@|r1
zB4|uzit_l_n{kqp{qi>{fVR|)9roHhYAK1PTNL=#`FQ!5y`ne0hHPSDrCp}@kVumZ
z50k`5(~&JQg-tT=#Fiosj3$(Ss3`;*lop9?s&WZ*Y0pD
z=IQ9}*+>g5*D5B|%=b?S*+5;HDAB<>o$I;!8A3KOH>KD#R
z1B-51E-|_G(1EAwwXxLoVh-=U6q{-`IIZ?ZLrM>I!t4SxV{A8a2d!TOe}Oap`^)y9
zMEyVhvS+8#Av^QXviN>FwQM}N%p%;_bfo*#vTiCY;Vf@?iwxHKqv?;U7AFd7OT!-&
zj@YwVn42=2weNdwVj+zm-V4uJxbJ`aaSP9l>qY1;<@I;?|8Y6~@tXe0n|AFAQ6}G-mdkE%nxCIXe3FMHrE-KlTj(W5L=4DG
z=De&8UFiAxxBV^5^LK0ZPd?0_;21i$n0GG}&o#DzDgj39^;v5b(oUibsbBbSA0zKQ
z6#xVO720%^jU?mRAB1eQz!2pul$ob+xKQC2-J}D?ml%qell2(S7V26m9SiSNyZn7}=6$wIbr-s5jK*Ed0&OxSq9NEUer?dlS#kvU$YoNJ2YwpdHdUgnN_u*6>q^(}UVyKPD$ZxB?`2YI?Rz5T!`5E*F7)<}~!`)`so@lN}6%vK~EB
zMJg-FO5l;2;1SUY0J~>T>(`zElhiUCrA+?vB@2A7@o7Mb+($Z>Zz6NSwU2wPVdR*qqJM`XIg!>$3ZN{P
zat5|hQWrq(MU@aAj{=!Lx7VBp2VNz)z|cn$F)-4c8C`2mV}dfCiP4;La3pmAT?^H>
zU`dDc^iaIm?wbUtC<`dHc*OI4@`N9mQvrx~>f*(R2s%Vq8gzQ>XI}j4xDi4TQO)UT
z2s#Sz$<6
zP~DG@5c7#JpzT4IzNu+GcsAL-xxRhv#e+R*;0Y&IptA#MN)l?zGfK!ShDRsCr)vp*
z%=}Ux;{f{(@vwYB^zqH#sLb^tG9#oAz>;hj1TZe%@zTTfn^k=@xptnqbm>xhn=%XR
znET1e$-@%Ou&pm`_hlodl)}GEC0Nc%urzqE45erphvaIjY_Jp{9>@4!J~R#dw;?e4
zZj%D5pM9DIQqb3uy}a0grph6mLKN>w#2y24r73_hj=?@_h90K}EWr@CbZaZ1X>*8D
zjDSKYzF8{_jvv?stxaw8JHe&TgJ|site|#%D|R+~*wBnD;eqL
zup5Q+)=CaJ!M|eQpXZyeeh=<-r#P8{5PMC|^su6EfW>l<>BXbAub6GrAuy38C}6(c
zl#-#eoCQ$MnjI|2X|iJBduOcp1A~sx)rdwg)^Y|KaR$si1afxQtS5Dd3Yd;l25xY6
zfFmo+bz?8Vm_w^
zRl-~{;|}|UPY$Fb#1tB|qS)QAK?@Mic{L0GAUN?>(%i-8((_g73;8gw#AW>%MCuDY
z);#T@o7Uk-%9^z$NM3fkc<~~oPkWDg#t7g$r<;-#O29A^z!c*BBR|oPvl)y**vCBf
zD}^s!$b(AhB)-eYU<4qvhEF{^w``hGcomKMoj4B!|KitNLg=IF1d@
zEzp)jc4GnHxQe_m0rrGgs1-)O4SY!mD2UvS3{~6xOF^E8S{)o$Mn!SA^gDdwtcFQ{W$hO=R2d10HE~HX$>=gA^^7-~;GxbjnQ1Uz1WSf>Fw-EAk=AL&Kub
z$q*QrjUKYL8E~P&y^K5U;}E#M>d~J9
z_1-Wv2Pv=t()Cnm*yOwfJ-2fx_)5I#OyNco6JU@f2qi6L8MsD(>9MxJK~4YUGGzzt
zhfy3XkCpo^+1-Fi4FQQ=6dH**^XWae7rshWW|5rBweeFW`Tj!a^HwG}S9KwL0+Jo4
zvzcAQy!vLlnJ;l#@^k1m;4zR@?y`P&o~@6H%Ng@y+heF1(a52F7%GJ=+^o0IkHl${dKstHHCluv*
z_g7IVtS(KW2cu_`P66tJvCqJ@=Sx58&mz$+K{_zbb81KzdS*%>p9Ka*D=3FLza5dj
zVf-1M4{5~_eE|Z-IoJhffpCpPcRxp~vfIZ@#`JWrByF7a=#cERgnkIJ>tp|1*4zE1
zhHSp4alaer35t=w>2iJLl4e*XxHG1bky{W-h2!5=Lc7!#GTahKF_A#(!{gKcG5J2N
z83q?T(hwrL6Wn};#_5yLvI7t!28(Fe&p$`XSsLhvl|ggU7$5~u7ai&1tPK0xesZyo
zFj-Iz-Zm0u0)^gbW|l&+N3&oA&gHd3!m)RoWMDmc$%>amkOUVca2>#%K5*AoJlZ|h
zAUSa585&x$FHp&6JO$~uA<-Hlffanf%4Blsg}wbtm-TG?nu6tICm%TCPhfQxUv^hd
zT@g=sHvR15Rri}lAVCq@6rzGw18H1gYo_;nch3`jz}COZvvUWACZ1?n4fh$esZWFG4Ps
zz`tWsg7M@fh%gU*4o~1a2(U!Jb%=s<-^y6uUOMV&W4jHi7z|w)?x@Ncq`?4F>xLw#
zRQ?~;&xyAZ{+Ilrad%}k6frU5fBN?a2U
z*S_%b>R6A9)>%)s+KHxyIbJMNI5Q=W_Up%;!EbXeS_u`sv#Yw*Kv9`-5z;qw{QXvk
z-yNqT+pc#l6s6Dz?xW-Q64C)0uB_0a>8ho38gch`4^F!U56%Q7ey%X8dNG?Y@}+my
z!6L*xV3wo5+`Z|$Uts0rGTPRVuDeOIX=rPI06u#z>?d3+TnNi1$KM}#19|R;*46{K
z1@MaXgyyiop+h+O8*1o}$R{tGHO(QFf-5BhWvs>i>Uj}b^`K-PUW
zTmO)Pf-&r*s5b+rR8@b|&o_ab%U2WM-qEp7q)Th*E05fw%$CF+a$5edHR+YFzA2;s
zF16|dyOj&Vi6fFlKVT`S7RgP?`H0U?ROj9fNrXNKNcw0lL1z^rCx1RsVE97q^y_Q1
zZsk2xwTf`|+}z#o$HxoU{m><3!AL4@JGWv9MMcHTO7RCi6(*B`afyivPOP8rQpMDN
zDNT$$c70~X3y0_seRR1a`vdMGQU-iYFzbrRBZ(foem5WbZmol>3&6e)SiITSZQ-p%
zGebL_aCFYV-*}Tb`&O>=)}VP#O-;q8f%sU9RC9s{2z|{ii||;}kcZDXv9ht9(a^Xx
zzdz~DofJqiad?0)7%K@e!p5ybLz$4iA@(|)S34j)P;t({%^D>klgkms%?a9Wd>TZT
z%UwsHYkn7-d;aNb7dg@L`4=YnK<^j85!o5yZ_OP`T3HETm-RRSy-{6r^G}|nJ#XHT
z4VBF8wV6Ii&3^1@3SL%K;N4~7WyBbK{`iJ1(a$`F@z_J$+!i$qBH!gt}`Kn?Su
zyE`X2U;$^6e-7qZWuTG^<`vABh|3nJ-{>&Yx*}zdg_=u&g_*gfx%rN%oW)UR086Bn
zW{+i)lLJj)k02+!fTc2-gI!}@*{P{&@MZLLbRy^ZVuNFQ{NB8I1Ks5)EV4ZS@l7+L
z`GdtE(Aihg(~OJ&^(QqgHQa
zLdOdxpKqxayQTa_46e1?*oNnpWtX0^v$D29QQbg)#@RW~Bw*eO+K{oS;xIk}!32FH
zwA;3|!^rdAUK7+>?sk5E+5i&vG>4+I(CoYzS#w#QBT*^P1V88@tF~y7`VLVpfZ>!4
z^E-g?EU!G`M`56c=;)
z970Vkk%8*qgb(09%ax{TbljwmA7de_!r~wixKI@U>vT0WdE?@FPaPICQ|jYK>CY3u
z%0aq$gYo!U9=ZH5YV(`tkHYFPb8^P)m44h2^ZjOLb@kQ0CPYd`Q`uj=QUN`&Syxt)
zI*pf^nKH-i1ti!P9wzRGD4XPAgLeBII%tdJwm
z>)$}QCoO67o6W3e3!~`Koc&ar>Y1|Xn57=KO)TF@lufPnx!oD9rmdybjs$HYA}K(}
zu>%zjY)m|9Odrs|PGLnw6Nt8YrlyG8fYqhB$YUC~T;lb;H~0N}Ex6yV{NC8u0ilP#
zl$4v7CyanDSwIyP=Lh$|Nczn$l45)0Ya-slYec?D3Ly6R`m(zEr~=p{J$L(ZOXiIO
z43DMyuCnBuH!*PuIq~Ua=)uG_T8hHWi1u9hjhzGN)16C#^E=9QTG^%aN<;sj=9=DQN}ujJb%Cy5pwmVt8vG`Lov=N#PJ
zA;ov-(B1kkt>fbbSVYliEwSJzDS=`i=2d)*~t>kA9ja0E!
zaE@c1x)fe}-uKFtgT~n*W;yrFMPy&_o=j?ojV;3vU|)XTYi85{7v&igKBsNf?K3qs
zwMl^?I=1tT_l2pk(mq8P@;zudc_r0sD&j!EjEwJ8CUzLaS-L35$B2f#`QjEwO3&Lg
z9k@$vky+|NPfriOuy6;^+eF9c?wIYYe77?%fIjCUS!V0v)e(pT{EC||#uXP!6zvPv
z^>BLv*aq%_Q7-np`tcbs@L^$RKkMQGcw^y)qzOq14;!F^u(VMU&nO$4x=k(KZ;5l-
zRQ-`$?m>w-U_Eo<#0f-&IC#kH3ug#vY{r3;?vqU=Ky}o9^E^foPOlDJpZQVIBFN8=
zvhBx3N;gd{x13X=d04cVaCLd~rSOKQw^-mVdozGWhqbq~Je--C33{^3&CQLlg|ueM
zE-ViZ94t+^;{bJz5jK69)7sh^pTXWwIfdknO;L09Sa
z4<81Bos0OWTgpgv?z_zUx}@M4d{sIO%(YbwI#NfRn6A5j+!NbORJJm-K)<@2&ty
zAcD_V({XJY_mM}=E%QYa!0-#K1OiUO7*w@X++m;x^aXn68L+2D(d-mU#EH4cv3!~_b^
zdNA7qFm06AG=p(XQVWngRb}ZX;umi|oDNtVlbW8I0;bQ>#Bl`>--#2P933TM>~~QA
z<>5!x{+P&mm~VS99Cx8_Oq^j;V^h;Pu=kRclk-2zH?NJ^(jcY^`~f`EcF(j_S|fP|DZNDL+2G4wDn
z@8-UL&v~A6uJc~+`S)-+4%c^P@4fcgD?V%OwRo?tsz8KKjSqo9h?ErNG$9boUQ
zf{P8FylSH*1aH_DFBRm#JNUVjZ4Lr&cyAO9+#nFTsM{A>{MwNf1i}bWl9Sf<{<=Hw
z^Of1d9EH-;Ii>Y84StK)&%{>r_%4~4l(ZZslea@G4ilqy4>$Ft&w$X~38F|vF^evL
zH1ek!VjpFX_fso`_eqL8SUD7
zZ?>*x9@9gEwx{e>2A`30y-q1hKEx+Fk
z$|o`p24G8RqQFNTjZuo6)1p#|`IiG=L=brV?3}bX0wHt$Mg>v29)>95Z_q!e
zGa~_PTIa@KEJgv={hgD|ryvZ@zgd^yIu-h#4{6a^l*W)&5av@!48|v4{oYN4LNNe0
z^Bc=4(80*^+eN{|iTpt`7>aCBhLC&mAFrAwLeUZ?LS@_YZ>)RS|Cy1N7Mmr)^&r8p
zD1*b-{4tpHHH0}i4D99?RM!3{ILLp#CQx7-Jo|K-WEGHG%7GC4L;3BL;o`S)
zkl%RAgWEyoKtRTj8*(F>!V@x#VAsOu#Km|~!GKHIdjIfGcw%U3M-QINp9y9Tr;G&L
zzGbWMGeTwiVR2dej(^Ao^WBnNEPhV-&u~C9;LI(}bsL#r84|$cTbloG-{U5Hq?C3`
z>{}j4;;h>+*cUX)e
zFs0niw)~s5SEm0+LVup;f-{6!KzB>0duOV0!=uuV&L^|R`^Z89bvZoT`+6tCZAkc)
z&ss9%t3SMt)@Su2(LlLTLmZi!n5!X7Gw3K+Ju&|VY#>=7#j4A-Wv}zq@XEI%-@A}C
zpCJRA4EZ`kEJl^_3dwrI^0$*ZdalQVLN&)jqHe1n6{_90#$2t&_~*|q)PfM>w4T%E
zgv7*xbJhU{eYfoTXWE`FbF*=1YfSDtW~Fy4KmO_^GLJh|^XK`F3GHu}R<0MMJ1_rO
ziQDOWt?>N0cPGt4`?pk+{)Y^giq6e@f+pA7dTs~Mb3qOU`8!4p&TBiSDBqqv4dF&~
zz`|=FOl~
zVPTwM8RYD`RgN>fDI5kJx$-gkRc2^_NJ2tFaI_;wxq^vuY1~cpkaDncNC=v$$X0&b
zqNOauRZZ4)>`J_3;HxiraU#(>m2Itm@sO=o`vWgc;CILP*AicHZ564ov2x=-QrafL
zmKsA+&c3$!+Ytey*J9^OHp7YLDK;$U<>l=FT<|{pi8J%V^&yR*quDj$v<#fS$IhSc
z=ADry*E5<^9v;NmI~C1w4i$}&UTs(Ngd`;AyWiP$%a$^MWO~5@&gXlUyJOP#M_9kU
zL8mnJe`dFWqn2;R5nsA9=ple9#I6rnWp!
zCRMx@{p+b(jV)V
z$`4jf-%=8U2%=bS9IHmZ%C<8rZ8OxJzr|o26sp^a@|0HP#)$W1P#mrsC8&cGQ6PM|
zxSfQ+vWT5ZoTbyspzHiAdz=uJbU|0-Q4dBpt%%=#<3=rmD4m+$?D)lR8;MSVsaKsD
zUJHGpSOlRAqR*a9!*6ity%~!#t#OX6aV|zg9O8-0%_jb{HW_Ou*SPS9^%U!$DtTFc
zGY*{YBGIZ*W`kH{Q6b;#L}JQ6uBTL}pwBz^*n6Pd=|#z1Y29Y+3Xeia{DXl}j2CLV
z95gPMl*`gCph1+SFQ{TA}6>6AO+T4p)yNTz?eaTL0~c_Y9kY
zh+wZ}Cn)bx*u1Bf!U-SnFpYLNQl)y8&c2Jc~cc;k3fb_2zQp+>)l|+xUWfxx_cy6E{{=
zQt=6I3G}Z3L0nqE0mZGeo-id0?$5iKbFE@elJ*1l|F-c-z2D
z=H4&GCc*;8by0o>01pf%i$J1t-`%QD19Z=+X8x1Uw;L7i31#=vj2A9>X$YYWgwW=*
zID;xP>G7prAvb_^Bo-@e6!PA%oNRot_&gp2Jnwq$+(Ui6a^q&t`t%W@b$iN%_l6O&
z<@?8&GHC(8D!n!{g9KmgHxHX}7;GT|J1Cz(gVn2wTbNUOlho3LGI>+%csIg=|
zgo1qnK=P+w1ZSkHy+GsLINRJ8qH+l-zFrMnfY}D`Ly8ZS1)ha2t5|q@e~uuaMCSq4
zySG`H=Ep#JF;^$w>LS^`|DLf$Asa-W;c*
zKz4?@lHxypyi@NubN6Ig_pf^If!1VsQj2GZMxiOdHRMp@;8`qzjKIPAgq*$dz*K7^
zPDsg~Rx8&xfaUn5uixvjx={FJ;#B7Uacs^pu1gPC7NVP%*xG#_Y+00VlD>VzWf%B`
z3L=0YwU)pUJS`BdoqL^w_<8H;g%wf}?{8-b&>Q_ChL`3XjQK$i_PLyE1^Vm>G2Z*x
z`Kc0mrLkQHieCOE&XZQe`5D-(GtIVmsV19P=*$fU*A#QA{(dj|@JoG5N}&=AkIX+HgAis`1A*Kac%AMvu3q&9DM^&4lu`
z#Gk(5oCbj=$^5vH1FKO-Tjyq&3_5M_i*Ft9wSf?ekf;wdLPH&DF%+~N_
ze_e9koQCN^6m$MaF
z-0BWj2(amf0ABCKfO7$k@!jt^4N(h{lhxyseJG*)UH7OV0k*05O6frkAglh>91r7O
zgJ0s%60{3%@<#}Wi-RW5Tx3m)#o%IDWXBasY4__OxY6f+!+Vc-h?BQ}pnuj@-9OMo
zIow0O*ft%)U{q?2%A%JWy0KhB(kf)0Z9t=8P@Z%0T_X_HX4?M|pZ7}tmvAPA8Laj$1
zT2|-|-U#3-vE2vzeFe-?A9#rnqoo@(o3y^3+Kz_MhkoQ^L}{(?8l-&pJ++qz9I$7r
zwA0XA^7xrCY&dSm_eiM*#E5K^|4saQ!!~7ll;r7{i>#;H0W7bvvVOR^?cWe2%MjNR
z!c0C#mM?PZLVN~Ev#FQymG?e6fk7RjneFz$Zu@&oq{h7Wu{7!YAcLkeE+HQe;g_7^
zw;vPp-hK>Gq#lM!m8`r;@Y(%26um*0lFB^j0(N@|c)HR^spw(vLWnJOtX7-bu=eOb
z!RPJs*RRkV17psDZSA}-FYuraG3z){{xAL!G=H$~qd9{7rzV6$Zg|W+m?
zKQa$K{U0;m&T#WGF7l%NY>lll%rsDMrMEODQ%O19(TZDLUlTE{b7a<$v
zTLc{;`xe!x#_Se2%_;m(Tlh2c}K|PmE0Zk#b;-;CK
zMTYua^0GUBDc1@kr*zh9?*7iILOZo+rif#t|p^YkW(DqtT_(u{n
zl0oe}Uq=G%Hfmk|HinYa^LpV#ejPx7&oh#Q+6=#7{$KP`$L-d=&f&WX3G;-pLnc}!
zsc}S?_7B@=N>JlhXTQTwSXc%x$E%SZ;tntLehj}{(}GPA1?R)xJmRqv1#$Z87OJnE
z^x@m`3C2G!zRgE53F9ZWSzB++_Qm)F$$Zn3S^M_;YVteWgD%AsmhP!IroHCleDN?@
zIbb*tgE9FZBACqFv|7=g4+rn^{)&=>7%^Vs#|Dy4i-bANP8j_7=n{-G97d2Nf?WBG^_nRMY)0S$YmY%Pt>&jg}@L-`<
zHnE`pefBpvP^)@3+|T?4o)4y7{tj299!%FYH3gK+?SC0^j@&J%YN}>u@fzi!mXFGsRny3fb2E!s^nvTWLM)Wfx!GWL5|beL?54uohRUClS#7gwXhda0
zcoDfSbUBvV+Qr#0CsSu=1@bcMAa%16!R^nK9PLs#=D$SBQ~VVe_fVU%yToV?wgb~I
zOs1q;iS==hBof4Ea_3nnhh#y!(O1Hjw#Tj*d5H!4&YB~hM
zp`Hy%l#eGs9dSGKAohhV-Uvz}|B@IqIMa#lR$<)csDzi_JtR!dr@uXkTdd&i`NW(g
z`#s!L`ZOOWGW$$AaSKfx4uNwE6y|2U+Y3JH$#R%2Hs(D|8mzTVNp|=g^n|7
z6Y?$#XSB1Up>&~l3L|4zM5kA%_5iEC{DLGcN)kqcW;Dzm+V7o8JUiC0x%oKgSSYCT
zHXtsra&FpUQGNColdE}`7i4EBUY!pI-MFa=uiXp0f-S~1Uu$I{?p^KHkf3f3P(x@q
zv^;C|FVg@PWdo36=W3A6f`HU?@1Jrbn>ulTBv#6tMBB)o
z4?||fu=-48;mdn%g{C3=W;c|-QuuXXeo+Z)mIiI<|lBhi?=8bplDhq&1(`J=#TxqSZRB
z)ZG9oh)zxub+rTQV)7#1q?#0xpy=zbA4=ZGFj1JY=hcO9@sX#qLHd!IxaR
z9C)II-MR21&P+0TblnewD*Q&!qzNGWpA~
zo-2>Tizn32u*b4w&aVEfB`S2byLIdk?LDc5GP$p;t95`o8K|W+lR4ZF_8~yVpXP9M}FUhlM6*uNA$5SIJ>60~lN;J$C96zRw7evQOtY
zP@JphALd&Lx-z&ECqw}f!W&Tkl5wsv1ULBYVZ`6lI~x(e}Ltp2%!hZ3w~aZVZzAdi*j2nDWg^da28-
z7!ziuu}WG0)w7sCMV*&BhRMSR;oGT}pshD%*y7X{inJ}S4i3dG1mVTLheZ~h&VLKstByC?N5lH_erRL1wm(4=lf
z+TJH@tK7uXzP_{S^Y{Y{S?nv(e1Z!!O5`OjZ9l{3+z
zKpZv&p;ng@$=N9lDCV+)EHa!0_5*LsMcUJ7^!Sk>ULRTZTS7S!2UAJN9cDGoR+c$2
zD-7<)6U3R@F0)!lzm`$zmThy7EaGA4`aNoI4gHM18y-aYp&;{BRBAG_(g)!?wX4h{
zcdMW{>XQC<)puNi06i+KjK56tQdS9nFH4~vxOUPMVO}#3Q@?8SR0;=6XUyt><0P$xtC4#
zmV(#yupS;{35Wmn85L#GKHKR#?$_oHKB=Z4De35K^Qg~oj`0k}vY~Lp)yXsre|Th~
z?&JA%*Kw1m-R!&}U5qU9M)IAP!$^S+&q=}If~0&z_v_g@0qRIB7t1r2N2$!k@xWIT
zqa`7@AkoyX@;$W!A#4Z1CodBM!<0II=Jv>}d64djG*_9eC?^4;r>e=L)GacA7|2eT47
zKr6syBAl_RE{YROeZ?E!7M)QT5bvSCFJi)nb?^~4qBIn~@kLdO(B=k@WV{H=YdsaATCZ@o3vRlM4PdLZWg}
zzh=cfjrS2#)c%O9^_#|E*8Ft3(IzO$v!>Pg&*@_+A5o9a$IEuwE4^*)i4R?_&G&qWc6^_
zHB6_=u%GdoLptE3=0N(Uw68(IPx`I?^m?Km-}PtzT7Az}-ywZJd#6enPx08+27O`9
zOPJuPw%L-(ir;>$!%hujpySoLT(k5V7MU}F@d8x0Rfz_GFssT$=3YjlZ
zW3c=7FxACV>&5NHP@$U|DqP5i0GD1^U66Y
z^*?>>_7HH@LnFnCS?MW`G;NRDcBiQw3l*gJWLpyLGdr3(f;=>8Cf_vt0_ucMRR3kC
zFeW#uvwe%lSFoyB>5GEQ8fxU|&SUqu^!hcN=mq{6Q}WKA)v#duI|=e?9FbP?&0h88
z*0AAL8ePHbAf7|lBINk=SGAzX$Jn0Sp&uDz%$876X9S8tJc2ITf`XQZ+%b(GsZSBn
zS+Bxn4ceK1Cg(93-kr|0er~?gCWBZx654RcMmQCjpoJAuIHdp)O?iI|0cmbWAQ8T&
zz`J#%OMyE=$(?LudHZv-CdxJAdwV!x3=t;|3C0)zSQ3tAc2`xd8c4-V)}@uybMvZ}
zl5(=?O2v>A*ecGCZO=!e)i8LfUr6^lKbA?e-B@;b@!%Z^N2`dB@)~EinB1lKU`#g-
zd1p^`mh71VW0dXGck)sZ{r8TmNlBequFuU^X{ih;1k1{8{>YpW^}0OPO?yd6Ub(m0
z`+aTkkpRcc_B2H-uwJ6{HyfrL*ayS&N
zkhAuXx`Im3m@MjT9cK{h;lzH!L%G_!*pir&F^te?S97CUcgOA@5ml!u-EY@UOJZ{1
zyhUQ^^{AEI`tMd7us*X@J|2J1D-k~?m#VQ>t&Km#ucW_^nXHl5j0=Lin!vvy_dnDK
zip@#uMW@jZ@9;Tkz1k1Ry>Lz7%HBiD!1@{HGWJvr3hDZ-n=xjWE#4mXvokegco*SD
zE{o^*;>BhzUYK99P+e<}`q?g#mkVh?d0T`p8JMn!y8NOf3uxe`wWfAl(0f$j{V_Hr
zIxAK|!P^1}^B5Xff&M&VH@Nz>7M`;YmB#$dAoPRE
zIfvhN@)Tsm2Hbk(nn7lyq_efj=?9fBIfJ&cSjIg5WDHEQ456bKG}@$m);yFpW_M{<
zDucKm`U|Z9W&C@JKM6iqwMOf`>BIxaDl);!Ta0))6wVhP%3y-)#@Lg>Y^TZ#(VPKA
zDBpypB7>#Bi|EegH+0MO@!2-AdL47)mzS32S+Ho|MwrG4b(>0e_i&RNMz7vA50c%L
zB(HYC`Xhilnq;VVAAu~)!8+iMB;ggKcpylHP5D&tiBI+@H-?(+TN`4ZrPXzTE!@@d
zUMpGCn7TraHavZri|jJ0p%mp^tch+~;o=~o_>L43nX}SgRtoj)K|xflt~i7(w(#qD
zF$&9&zl#+nH?B422T^Q;WUJxYlVYJV4xTs-jj3@5FopGUDi@uZ1
z(F9{&!JqDfW>5Rv*SdedSNfi(K>4yPN_m@(0f%GXCkfJvqJ(qH+@v?rL^1h_ba7iC
z-GoFaqQn0Lh<4NJ63{F%h&wt~j3vlRsz*QUGD
z3|Y!zh>vmbB<1dK1-+358;0kTNQy_p1+46PgX|jL35A=7=FQ1C!uwHr9ITlEH1MnX
zMe;r3BLYT={O0+q^u9{FyEhX?I9rmkaJ74tl`PV#FFEPS7|=(jI(*T(Ss}7o(>MHb
zq8?{$?>x5+w0`vk;`rc{VidIP8fXCoKLzeHlDM07Fw02fx?z3?yB7^#y0%ihmU>#?&_BHl0TTm%eCUfXI8(&DQaba
zdjK02CF8Gc=GXk#_dz%Fy%1<-ZkX>(+8!K71VlVSdkM^Tt)*B}>aPfX7i&N?G
zOsvo1n|-UgU%kWFT(&v?DbG@6TG1)k6S
z=6lECw7s3$<8`?-vLs<5DSsgQ)^PvlN>9bg-?GS+T34yyX=hTJ_%B`FUWh0igFJcv
zZ+a;<0dSKOdm_{8?5t%=md_B;KjUq=9kO|6oTCkrC?p$5uqsKNPWG6a==ItTYDcZJyNmZI!+!NAqpHpM#96TGmK<-;>wFZ;~cX
z;>{&v8gs|QV1c?K{jA|@vXUmFNUscGcicZPL)9Z+dIn~${;w!5KDV(YDPIY~%L*by;qoq{C>
zR*-yNU>b^rG0V=YX+mnl;8TNn5L=1&j0mINMFm*t?51mZlpj`KNK`P^v*{n{6zxki
zjH1NV4vft>xoGbg@cK;MB@Akrm8@R>kEukA*Vu1U`bD4fg#$4xQP{EdkB_Yj<~)Eo
z9;>8SEY>9a=F8uuAPdhgo+>?Bo{y)p^v%x44!0aQ{X8{Ur$9&GwcpQ@*jTPRb_
zYKg+Q91i(#4;pqBzG*;8_v->LTXyZWn|Odn$KI1wAz5F()hOw;gDM4(uSpZ|$xPZ1
z*0=`@u{)4Kdt$U5sP{qK^WZxN^ECxU>wig6*VDsBPZsbB?jk1oT4xxMU-Z{sD5lE5
ztGAq9f^>w)e^~@@!}(&6$qY)lhc!x{fRf05BR0H&>SMfmx+=-eQfr-k0n4+I;nxc*
z&*7T*erJq3oLr?1`>2M|SD&(;9UuU#+j~%wa44}lsEjC{phXwNcu@2eGw&ehGg(2z
zY9-UG)pNs1k4tJrN%YGDmbpODL*sWOVHX1J?Hv3SJ=G3ReD7kBbIDY%{xGQrwT8uw
z{~|Ju-QxnyQjaTs(95&Hr)Hv79}-ZxPT{IZG6Pr}KhOUriA@-<6OA-tyt70AF|F3yzVp(zOY
zJ9@liGR8&p8KU-p_7025;?+0r=${UJ$c#K8FfYwmlMF?YzRR3g8ahn~sHc(;RK*+}
zX9^^*DkAu>7op1H6Iwqo0{D3f3~PTsMDg3&VdX-vbLh502+oc(Z3I$J{aWYF1z`)F
zKJQDS-TLx`0PYrV&zb4Bn;vk1gx08E&;WR@g1WCL^TBIp2^TtISbAkAl37VJ=(fm7
zzEQ8$xXyELcE&jr{gF}!C;@{|(a~9f>ZY2x+@U?+%Q(I!Xwl&Hr7;gYzBYq|Wq|~H
zfyjq)(FImlPL@Nb4X1^}7z12zlDWfI`A(Ci&YXLL=5KP2l9(=|i0dbx_x_Y5_O>|o
z;6Y%AX8p*iiSGMeI9@g4RyX4Hqb%kiT%+AhkaYUyZ~NqoF6M8}Q3D$Itkz16zpas0
z?e`xO7+^zkP>WP9ZXrwzGfI7b9u-1nQy>lsV?j|!
zaoJY@`gDS-gdl0Hs(PONfxs~QuC*01!(n`LVsp}kCselM=;sr)W}}Rb;SzFzUld3V
z_X8fjJbcx*h*sxQ5>RQC|5j;jpwfmwrK=O(3l(SuRzx#O&{wNreJYpo{~ZpaaQ^{S
z9T?8XO|+4Pmpv!~6x%+L6Qwx!@W^EW)jW2+w;9rRE1w@nBc=4enavfCy~Wk{k|#N+
zLJmRgdK`iBZQggnmnY34+~xnf4i$yz)~ea8*~nv#5|bVfjjB>1K_R1X;SI*pV@oWY
zViK^$T3Yl!#-l^8J9E(M(z&fo-ZKi{Urxp7B-&rR4{}!SieXVV*XF$8;?pbdyhWN#u&f0mJe8*j$
zlJa!ELL?;x2d}k)Yx{{bpjN%NY6XraCJQq;RpvAo_~UM#L(fn@=x@4NhXpjyedWNTh&_`b@HG$$kgjK`q9sBo?_dm!(S2gZRrmiWUs=k
z(9{%do0oCnSBzI&mJJXZCPVB|wC=8c4!lbCd}9bx=X_H8hfFW2E8ciVezA%W1=Mz<
z(*Sa#vyEJPiioDO{!*$vf7Nx#?I?9%Hq~c-ewd_`gTz>{{900c{?x{}l-<|X&dk_+
z+2hKqyu$sQ0mqT&&^rq|P&K6vCHW}G_l3HS&sxq|L}D;6DH74=iPX80Nq)X{V%cWm
z?gHa&a3L;XyU_pYd890uU(#G3IeDtqpjP@s>+P#{q;FI?Vd;*FkV++|IN1g2#(T-!
zif5@QsI8r({H$rEa+b2cBaU6eLqoqYY>0%dun&Y#`qh?r5EAhdQWEid-i{fJ(GPUX
z4JQW+l*C_?FeazSw)?XBKG4p@y`)|;$wnXDKXIwd;(D(u1Gmt7kqQEA0Y7j8|B+~@
ztwMGHD>ztYyXTXj=4iRcg$*Z9HCdN)O9%;S0u%eYt(J72gUpBBB=HF`YOHpxyG7wr
zpk4ePyT=~h=y*?L>+N7wki-!iexKV5P!Z8BtnF-@5ZGZdBD(An)^-U;YA!XBwxP40
zfhp5o|KsU$A3unGP)RUxPK#ckS(3Fmhyg9wWl~&RWJDJCF2EM}4
zKe_bND>UW#gn&CgM6>6T6BehB*Kd6j#t=q+HMsnJB8;g#UQZ5Z?~Jio+%g6jJ8?o-
z4_#{p=*lOs#8!V0POQ87O}$B-98d|6&ZUhkJ}Fqd15HJv6p`0
zFjyY14+3*uJaY=CvvKz`SQ>p$i{T`u;5QqI{4#T@e*Fd~`4`U{>49b#zPNr=N-3ro
z3gs!KZ!Ahu%YFRGXo#?s!(^mYxmBR3groUk*<6Pa%;oJ*M0Qi6hnkBKi|QF(343%@
zX#d(I(cZvndg%58d(`mnV{iwAkNo-s-!SQc<9zhjDD?UU=Aw%Jhc_Zcv`mGXA%#XW
zO{NXppCqWX^)>~MPeRVpnH^~z5+y4Fj4>n$OW5a6XS3g?>d2VJ?>$26=`Ig>*fZW9
z=BoI8q)BE$uld^KCepN?`tR^Q5C
z`uPg0@jcxvYVc#xm$)o$4p<^~VYYNsr+QDm%&@Kmrjq2_@mcHJDk+bOUTtnCoZWAn
z7@U{N2Y~hkxiBgi%24cHsM;`{SwO@y?9t4&HS`vm$$!wRlVc)+olf9b&r1
z_6Q@}rvyI_MLFie^8|_3i^9!gc)Y&x1@Gu1DcxM_E4UZw-rUt$Y|R}2AFrH`GS0O8
z!IH@@Kp|fR7SI7~AlX24IMm7E%^{ra#O>7v&O_Y^^K%92_<0-cOKnoMwLL`9j6M%7
zQ>D%X%-lP!OBsDQyVUkwMYqLqw}Pb4#IyImWjrU9#7JyIqZl^x1CqC1#WA3m82&i=
zU2ZQ))Z`Rc=*1bt{xw;?Y2*o8wsT1BrUq#nZZ7MPOnQCXDH8Ad{ptfLct>V^QNq1p
zCI5S?ZNW%-pt}#5d>uzZU(6pvVp}QUk^(=txn**Yf<-M1n;y@AZ{a7IxGmmcRvpKl
z|NTwETv7-Gl#){iN=JN@zw=O
z0+#_$PRYf!HoUB>$8BhE)6@D}*Lw`A-1@upe!M9DgVB2#^lPA%~)2`n2BgB$t|;$o!~{O+JjF*_g@h+
zI#*?+ct}#SNQmd4_DA&O)vqwv)AwzU9aU`Bj_b_VJn_DEZq~Iqnyv>WRdw;aKp$(i
zjLL4p_Vj+PE?j+v3b8%vuWIr%ooH1~RpUAK@M_>pD#zPB6POL``%z2%`QAoO;r+dV
zM+3xoB~KRY4nVZBW?spFjnmm5LHnwN%;vod$E;n$S;X^t?8#(F(m&+9%^N|m6s6}R
zxFzf*wOM9m9miqYF9L&X)f+cBpxI7eim0nh(UYT0M(UM4F2=H(D(3e5q}OEPV(pgv
z`V^%amxi6u7xRaG9j8i`SKAG;y$--b6whn>H|693(SzbzcStutrFm>@j#8_H8bVRNvFp73$BtMmW
z`TJ0DZPNT@Gi#4@tqt%)Q*wKv;;~b9J^+$PSpH}3rx1ItS!gHR@1%fErJ(^Idyzn+
z=FVN$?TpvC)X77DpRlhO=|%p3nk
z(p+2)2MvLmln%t{jzPWSeH_|15CwW4=6IjquM6fPK?772du7Yr;M>N8hw)<7=8d5L
z#dY~TYrSJ3A_`5N;EwhJVV;d_;L9Xlaz)jU$7YixgDn>$-$@T(35$ec5Drk_Ln?`b
z`wGA{=3*+4mph;!D_hG!{*4R-^XMtUl6D;fIq)>Rb
zs*}pGD&HY^xn?=}%Jwtz5fuDibdiCB)u^@HXfocP{Cebvoj+tD>^P6Ny&1V%j)hD~fmw4Hm4l)2CB
zjIe`Wv?qPU{6p>?8|^t$6YzzuvuS_L0fx$YesF1_Zp{6@5}%C{o)++DEcpIVNL$-V
z1R4#YD7D;V)zhRf9B5&Hac8GFjP~=KmJb{|s$<*m$Fs6IVo_k!T=Z$Q^?HN&OwXgL
zO6to9*aWMN$oB~3(T3SciOOx;pt~+%+rEEXQtP=f9et5gvnhDu6{a=c1HP1pxF}Dy
zzm35lw#k_qW7@bs-^xK!?2=lQsy6LoK%r|OhDbGrS>KxOTCd=VsV(8${(lKxz3qFn;!9TSf7@bu+s4WiqRM%(Rlu*(
zS6#NIw->g0+daW{h{0-?;voQO0?ki9*3%rk&zlzq-z>2jmrs~}B_VP`)jD)Xlh1)J
zsg?c(uf+fkla?P_LqQ#QtZ$CGDUU%FS_tSTO9Aqu+#HaWg($`W37ka!EM-Cu!w9i?
z?Va!Ao9xjKD7d+NRh;LWl0VR3G>t1At52b4a~jnj{v`?ej6oun5JoIg#O|@+yHgI?
zt%o_UL^{!d4yxNmrd{ay!Y*jXDl@2w1dKU`rwV1Ax`TENJ?OTMKhTS{4g&7g{3O*h
z&2;*IyGN)Og!uVa<;;$yuG8P6KoW=9&Uah(>+_JIuB+x^ovQJo9@U4ZZji>3RD=N_
zct#$0DA7W$QoXyx^9R3n&b)5^i+G}87&GP3h%nC%*o5=LgdC@8`1h@}~
z#7iJ-xqd96b3souO-^ztzgx&(xh{}FL2=v$Ff;bvi%)xKJN-cSq7qJyZX1o%@0Qv0
zxXw1fp8Q`jzS|SS&~c}n995x;LY4}2mebM-OsR$iUv|A$u2_YczHA@~knR~^km9=j
z#ily&+BZ&ko$3tc(xzlZ{C{j_GbSiy0S!FNN-Uhli;8>MlWdG7ZEE9seqp@+?5jH=
zr|lN+JaeyV*k1tN{E^p~5S%DRK`GOWSKP;p3MuWUEbH1#xAn$}gP$uXT#iIZbkY0m
z{&dSc{%R-mc-U=7;>xk2d0&KBc$HLD?5L~2iaq&7r`4j7F!HeTa&AMSM@P@No89!X
zKaQadSULeZvZjqpzr+GNg(u$EAU2>naRPB6%uKR6rwtQKixUoWG%>2wi
zFINd_VfYmqVK37)v!$NEkDWk8?$F&0o9fgSAVrAu
zEDA(tL-9OR0c2^CL?{brq>zNC1CE7+AjffPP$$MBhIUYOLd
z9W8zqC%jiXe$kF2(SGYz(m}OprW3n%=0?69wSP9=-nMXZd(rs!%8c;mHP^p15fG4>
zPYov@tcXBTyrUn7-I^9VdmtoXp>%bi)tfEsf7e1slLCU;c>mRh{-~?P4Lmh(^n<|j
zWD`v&p*ioB53hjJ6kjxH@R(hzp44A@-f$|yUvf<}7@B9DGv>b7-YV=TtD=6ga5u#btIuHwZpXVjQbDo5U);TKAzdy_s_
zvs>%!<0Gk#LJG~1y5!Y^=htjy6+eSJJ?}+v-6cKD?+!U2!w8e^&i$DaEE6*9sMt8N
zVnu06H7YgTWiqPTT+hjOSeS}A=`o?Ihn0NwXZFmh)z4I2=aq!ND~z`@L=AOml*ORU
z1>LHyw_?MoHz{`a`x&fNGjg0iV$zFN`N7sKwaN*b_5^NK+ObWI=hxXUG{0D{e9xN$
z_v5^qpL*kqr5&52)0gNkBA{Prb!SFe3;M&PJ&fyM=b`-({_gjEnT@Cq;fu7>PaYEa
zqllgel3w7r^I7*@I;l4j(afTT$!{+?M(XILK1|4jTbs)ST)4HP;T!_b?Df1O%P<{4
zhX1S8aJW~{Mr$vaVz$$EnGKB$BkwtyW}$ujmwwVZRrEZBnneEs#$%LQ)Ea7H4_nI9
z>gg~k*@mVm@ewhgG>w=d(C&Bx1j3by|;C;8mSaD+0uQ17fO0rW#$`A3r}xH>hCb&Cpl;Ak~s<86S7H_MlcNS{H_Q?Le+gFtEyr?WW;Fpas?x4KoKMvd?y$ca^WQ9
zMUo8Y3jlvLz>237O&vN*`>cHbpdKKb(+Mpf7;NFsY12T_JgVxWVfHu|bDHxTZI~|f
z#W$Hp`K99EdSd(Jyz#*{57j&RQK-{Ko9&&Oi9W7SZ^?J`M04VQjthc%X0$6Q;Bzl8(0DfS-CWTGZL6(;I}Oy5i;FJG$&ygK
z9Ej=9Z5s&Vu0C`OuP7d_$sYGXA%4j
zh0V=PN1?m}kQ~)6XvUw`_M@M4Y16U2_tsBOCVPd+m-c`0_0~~Qy8vw
z>$>j;;G?Fa+t`WanuwT(LeKgBImTC7;Kfpg*>bGz7@p0unn;H3^piiA3dB(3+NMK~G#RAi&;pwhR+k_+ElDP{tO8S?mAg?I>&d=qiX%;t~NSrgn5&hAOf
zq{R#-VQ-rK@V01XOH$>tA_ExP%c;UlG-_7B2RvvI{V=;`n_S_5L7G1!k@h>@hl*_^
z-R~IkQq(q-x*frE&?E(4*nNsnUVK@Oyw0%IV*vKus#@HP0
z<`({j&p|%(vS_FE--k~q)?(g=F`+MaI0?=nHPBs7MlUP3yz|LoGzpuj#BEswh
z7s{b@Vhs{buzmdekEW+#VKWa^>5k?Qg}1wgC`$d(!*at~o}*uFAmP>2^9}_xluM1n
znPfQmgRkn1rMBrvJiIjOt7{Kt>3h}gE7g5_Zi~ezjI+4Ee-W=n+G2L_F?W*zhJ~6B
zH_d{lH2|s<;RcB)
zlpi{lU(l3a#8)_t5AB&KZy=Q9a`=wqWD9!Misn24u%_!sG-;9W9~%Se=zO+{PvHkW
zbDsRzwzQ8BppCR=pbxTjig34{oz}jV?hcrc>4>1i9;xc|_o7e?z`qFi@#eggxV2a#
z)r%LHOD7WHA6ya-aT*-~RqY=N2*Zh#`8a3vG~KPp=uZmT*v@_tu}7Hk*<9I@0p
zSJ$4tKFh@xKM~&9YJ2jsrb9eZHqF%zQmt%-aKZ-<9t@Y6%a%4BK3yNmT3i}3*OI*v
zuCK3OU0=T}4H5sBozOinU_Dpo(z5c9oc!o`RLd18X&=o|BgezT+gxmwoiz2J1$y|r
z8BQOK(+7Ph)@k;7HbS9ue8KnMCX3XjY3%H53Qg11NC26J1=6|P
z34EqAY;R|pf5C~-2WM!q`OigsF@afTz><0Q*(M7j{uEJSF-HMew
zpLCjhIO!Jcf%{SEdt!1jX*4U!S;%Ae1#iP9Q{+ecq^UBK>PVon;$SJ5=-r^i#(r(<
zO-bilLLpUPB1VR3+XPb^agN=qjBW%r%U~ym?)TLauM70C2IqhV0d3~)5gfJ@2>+6M|@5-KdaSffkSb6K|N^6ek@w%@-1|Wc5|HZmwGw%<7e}x~Rfs_tQrt4Z5jzT4rTcG(H-9gS$
zzd+MZM?Q|YxX88}+Pc`^h3`1&Od6X*KKVS_%sHW`r8(v-L#hTu8usYPdEtuN*G)cG
z^&{uI(7QLd*M6Z^QvV?MidE4G!$Ypwseo7>hfz_fFBhu4F_k
zqK5;-vCHv@@?`yWy6fOy02;BFZ*be5ttFatb1_Z+_6^87&H52?!5~l6&6(Fu^*Ty>
ze?V+epEY2n=4~I){G%OcBLJ*(mz(M7&TJRZ#)LxDfdcgLASj1*}v!6hCqld4?z0I-&ei@=cd
z(LIpZf~RH16^ocyvV`k8zxT0igU6nxzrV~=jzrxb4%6}IZ2RJ9!xhNDLHw4TQA$lu
zUOTp2ylzvoEdf&GKHkPCUegBR4~p7P^U$vQK_ERq}2_YMAr+(CVmn`eHIdq{Z;AYDlVixbPx6rI1*wx95%Md4Gg=_Q*
zIqcnmy&aq@_}$5b!22b9X$bC=5MHNs&X#yA>3mDG(ctt&>q%Mc2{s9^K|+W{tVRXP
zo0^(>Gb(envgkZMcK~4|xUDS^BC!OAki=A5_dR^wpVFSM^L=x^Q4A9k^K+y7+WPu4
z*4W68A33_eVgz6Rix&$UN0_GLNc<)4Crf_nAL%;>zlygnb%Nqai4xz#!npu}cU
zZz3LkqcX-wN^v8xFv83xjLf*il2QUDFn?}YhU_2>HY7%4Q$IitJ993CaS$E_(*kMrE&1=DAZ?!|hpOE&2C~k|v
zJ5S3OJT*
z_5074@l$PW^L1WyvcIjtEU9ex@_Rb8MPNj0{Y&)c$#yZ;cO3;vmT_tJ4{i3P#MUXK
zDN{N?=MIa{<<=rN4i5CNN*^)jfYTRblZlU^uQoD$|x`ItfH2?#w_d`QBn{
zqC^@P}iJ$=1GF_5{
zDIpNrXJOzGF^5+;v%%;?qome8Mv3sgf_@Il#M~WU(gfdNJF^A)&~AFcs2;xM2tL~u
zVZP$7msm2YPENo~S6iybzdPW84r(BdoD|_VBp|KFCl7xA{tZ9#DtL7Bv5r5Ez4dP*Jystc#W7p^(>>+_
z4m!jB>^UvG3YGRO@!UE;e|eC9(`4;?cg()!0wV*z@ICnb8I>jGLgDF5r81UD9K>u$Z%)PTCN)4hYwM+wN6?TwQpx@
zsQQ}hwicR^5RDVOJcl^iSX;*KZ!8wpOESs8rORuj|DHbJ4pbj
z#H4z8$}%?Ery1Go3#=DuOsnI(WUfZq1VZ8zX>hWB26&wa>hIO-U9z_>e_VinQV+BX
z0z0W)hT;crBT4+H4(2}{x76c2sEGuq9{l+BSw~a1PfM-V+tDf#0^e9|NJR*>Y?p=33y{}ie}_V&>~$LCD~KsnY^GdtQBY$o?FN;w@+bC_FGp
zJ~{E0o?aA^3cE9&qP-K);Z&PvBKGtW@2sq=R{Qu`rT@AC5i6yvzw{DMGnKR_Kaa@|
z7)PkJ@%zo;z@pNINL%4vbXPB|0X~us`#@3h!+n2cAXq!&U}uMMJkiu745xXA1E6!Q
zbwCd?aR9bVh#CK`OhgCRjNYuh`VG3vvpucF!MJ=wLqj$|&pk9DK#;kT
zt(rgqIIf?4$}u!OXnyIvgh?o{Ar1i-H@?Y}NMJ?n8AnzL7$%uv8Nc_1qtt=(@M*{H
zlkb+%d4_?!SmT6aAcS6Z3SvlJE{#PjC!N{P(>>USXj98Rv!vFG%-B1#HoaeRpfUEi
z4H^Zai(nr0laO$55|WsZDTc3t~y_@}|mzU6%RBi0Zf8(TOK90dc-@ZumQN2h2(p72=?nvv4VIIi7_LWJ7|{rn$w#oU+F36-wA>qqq$+mt0G|hgIO#CULalD
z9}t9ER8o^`&1_ujpQrKpj>hctreV&dyzpf7r&2xEat7lSK!4bkuxY
zjH-<)U^7w%)mN8V3OY+{`lz&wOSfSS2VlBA&Ub~i+VXGo<&WA*a9|&sAaMA+-ZLo8
zX604>QG#5yt{?28+HPeIHm2{fz)JsSebii=OKhj+vG#1!zinol0)HnQt;e^*OgDI6mFxLg-a4J(eXkJjwz$o8TF=PWNm*zf7h}CF`72uW`^l|9u2jJ)MQN(W
z+Tw?HzoK{jbh1iAm=>pVQysPUL8Fl?Dx|Hn9vU9Y0%-wOixM2v_&X?RpQXb4N(vIq
zivp3eDOFwUnpWgMR;A7Ygp$D4#--o~(z_MtClS1eASwJguQ4yD^&gm5c;zwpqS$9|
zho4`sv=u>h7a?wp+V?JHaWTm9)hx&5S$pM%KFpWesjbWV@a4%nNF12B+wT
z7lV+0Y=!>Y+^Q-VDps6c!XJx2k*T%qQ>B{v>{Pe7OcWqupf*%>e59z4^%+ZZ1diXb
z)iHLl+m}!9+Au^2#~x@a>s5z(rA-YQ>B*(?_VIwvM4eG`^DQbqZGMF5i!0_|6FIFl
z-qWH33Y<6+V5g=&<%BCf%fIc&=ploFT5ooo{!Nrn>*Z-$?=6^6ev&R9Jgd3yVUE>2
z7a+Y+hG80gsr
zq6`r;V#~gFTS!s&?rn4fOk7rKn8cp7CtvJK{{|Dupv7DrRBJqEm1V)*S#6To&h36Z
z&TR}8aL#+;e;?uwmMI@9mqBiFUv3A%)vAzcfs&jsPuZsIxH~6n`|$rhR}Uj!9yq9I
z<6GVd7r`21;3UQO<|&``<-YmqRV*pq&25PrtM4UdR7Y5O;|s|@;RNSkIDS}g+CU+9y
z`qHMHtutu@7rh`6uMOisx=+W?xfvBxR7q{)$e6+U2}sPl&-|g|Lz%K7J|Irb
zsH;E%W8%{1n@@xio1F|eJ8z_hKFv&XZt3F4zU`MK5`|1JltG-Gs9Mz&oECXf*QVr#;#eHMM{efwu6{p*XrPXgZdzNsGEPGS0v
zUR@?MI-;!uX1)n1G+I3RBDLk@yQ~Q@&;e&RWBu`NJ_{Hp(AOdf@V3XF*nFT-*WlM?
zh&cOQqb|!Y8ZK&K3f)b(RWP!IPxQq8?FV_d3{;)iIg`VwKyh1v&rTX~@3sPypXwvq
zxDU)==1Tb|7%GJUg&d$O!=*W*%N6nD=M_6EeEa@mTy3ew9$W9nF}M3*w9}hHVe<%^
zKr@_<7SI@Ir%jS*3`g4rJ_ET7?f8{{B$tu2Do&`F=Tj?jzZv739^*Uw&T;ksUPc4F
zM=*{VuGpDC+ZJyNIejopA859`^DXCHQ>HMIS^LW8
zdVl=glC}x)qNfHqhA<$WXaAQ_Tlu8P%X_lG4Xf;Swr{o?6+GqR*F^yJFGXV!cd
z%y-8`FdTRpYdo;kJ^z4a!Vi;#j3LYB#jO|{eCMKGE}5WlYW-GyEn)!8(7ayN61jXk
zj2%RUiDb|w<>X};cC_3L2>NaEeV}tP4L*)gYs#@l61Nre#Qb-l<F+wb2=nw0#Q^Z&TijPq+x-?kewc$Z2i}ePk76z>Ty%G~d&Qp4Y4;6ug144-+^AgOvB(cRgd$8WfG$xH#{N8vs8eaC7%Sx~H
z(~MNCKx9=zK$mPjB6M2L)pcN5ePJxs-!!RrgL2f8in;b=;qmM6ei8N+AwNVCrd3k6ig3)Bj@laIuNQd-oZ3d^UFD0Poo&(8DAgLmIYhwP{M
z4)l}d<%^WT2S$wjxgiyH9JJ^?*i@_qDmjX$cXLPBVNZmby6RsqX-6YM`kVz}^M$q(*!%4;WhW2bnc%DJ+EGISo_0D2
z@vc^p?Iw27{aI(
z*ITigXEIIxlW9Mabnn+C7}4&>A_t=`XA6>KsO}=WGw=in|1*04h-ruRVNH>E2#2S)
zpkmWT(J8VPOk^DBPgdXp4TJy7QC9faNCoR~*iP111xF@)?Zilz%}1m7#0~-71R+(*
zHNkkgzUt_Y#Tl_kO#ybvv(XTj!GG+obid`9Kb7Djf`Z`2q28zKBj6+T%PlMN2`55T
zH;~9rZheAd?*n11as1++<-Y!poP8!PrEv0YXIa`v_L_Rs%0z^D)VH<=9+6KnSov&VYcCA3zwMm6>IH
zn-+@#sGO*z0Vy~Ejrb=(=`+A>W1Bv=GUb{Vy==7BAg;=AR1~yN=}Em&LiNtOZrBYX0CIY#!=e
zn(XjOtGe&736F6rsBk4E7f)kCD@|rw_i|JCac=vy-W68+cAC)mMC<*8ULj9yQ1;<$
zgT7373a^!z#tW%xp`sIdwLOl*XfJmyr|%WKGp9j1>BvplOuNZ;Tkh{&0b}K}KIrJG
zci@Of@W#{*C2oqWYPNhbH*s<+2fB}%E%?|!acP2mZ=a}FfLlVO2_;~h^zu*)<8?q<
zZh%_pw7@)p`FU*h=ysYV?Y#8^n@)$X@ISZoY^SuBzzb*A-wH&Me&aAekxbX@U>SZ8
zmLePUmn=v*0>}3E;2qfQD}_vu|tfz@t$u*^Gtefdyp|EMp8-K@(9n_@Lw#
zx2EjPdsLfzId1{VWy}K(Qhm22zGr@ex!I`NpwaA4f1IVN;ogBIg11d+aYI*3-F`_s
z72Dz1`cg*jE~B=JMdC7$b@r>$B;hS`keyvWKATejI0S(7c!?Y<0LT!MoCnQ5XRq6X
zFjrSs`F&0uT5ctcha%5!uQy~N`>P3B01lG(DLFY@H!_A+>fKgJt)S<=1!#RRBQ5B;
zZU7LyQ1YZD!vU;Tz%tBmK0!sQ+#mP7U0dMct8pP#S0uH4WpVormr`HXG08B!u!Vp1
zG{QSr5^qcn_M5z)>X>Ty2*}os1K=7Q(xrFt3r>c*J+wsL*AAyd1i0M*V$qw(;l}GU
znoF?K6^m^FU=o2{3(Y=aAhd>XE(H*Rk?$9N`l5GE-!9J_HvlAdp`oEhq|J8ZZuf@4
zwmU2`#q{vU18QNyiEffczY@Cgc`Z=)v=L&SWU$WL$xqXiQ=na^_8XQuA-N%}GXZCR
ztlh_OR3ycn*@z1i}m2M2AVYdx`Re(fi*!_X1Sp9I&0)ZDK7r!^@S&lEIRr
z0u#=M<%PNd`r?5dUptckA
zes3W|g&AnPsFfuHY66<~26knMzNG?+Vpb~qcvpbCD3((!V;BLz2WTEHVA*-kEa1is
zt$)NKpwdTC$6@^M%85u|BCX1`Fq$!^upYpXni)1!Z>IvPbuCY3TwjsN;Ks{-77f0_
zF_Lx4_PX0s5kC^&kilvyDJxK^EiO(DncgL}OmGxyY~Mmh7|2FFxbf1I>x
zaawHo5IfR4OO}_N9bzl|gwi+}uXcvg-KE=fV5$U^u0K74X|5%wQ`OpB{o{Dt65A`(s~Wfq%!7gI(!GINux-
zmQ4~l!QE;mUGrbjCL{5GfYm*U9#8P|GTgjuAhpH}dx_8I1FZ
zlvAov(_5L3wF6pIuCR}0>Eq)-W-1NTQf9k{$Rr(}1b~O@~aH2RyE_8Cw6y*Me}}P`Y%Vg#%%aQUZ&`?eQc6KqtIP@ZYsd
zk{6G_;x}Y(B*ZAGNP@Sre?(?~%sN{Mk;yGYak(m{H_+`~PpUjscAG**xh_J%#r>
zGh}dp1DVJ_E+}P^cn{p?f<@&62(00g*!kXvc@6k{O~i1UEWa9K+2p4HhG#pTg-JkS
zc9T9UJ*vN2wmw@CIL~3@!YolzzUitY5}r%?vsw?*uJ?MqlFILSy_x@46Dx=HjH~YX
z!z*l#sw>%<<*XKg3A!pG(Im+>c1_x&5T~eVC*6o+11a!>)6bYMJ!RAE0HR;^;^G2W
zn|%O8b=mwHKJmc|0KnmeJ4+e{$K+2>&2p9ny97M5{zS-Uwme{}kCYWIsb+@Tji9h1
z`(MpVz|x6)C0#JBea*)nt7YI!%v)$cL@0|F;U_rxTef4XM4pXFsizXU*l@{goxJ~0
z)IZv+1|W_$-M`Wzo9vca_VCWeVBgiW-+Up!O?RS)^;rbaI-(Q_}P@cqt+VbZMEM
z_@+F`!ql2L88RW#EtGqgVLt55h7t>-bW7KbFtGNIvQRXAm7V~fcD~~j(AVN;_GG`o
zZA*MDQIDOAYX!LDqgZ`Y{|u1nd`e5}dy|*(Y@-rFD2{kHJ=MdO)$g;{Y*^p#FqHXN
z8n|yoJze}hoI@{H_&Q7&&J8A|)F6R&QvVO)4pvtKg&sW2elG>@{fYf?%*=*8<
zrnj$;gDYZS*APXa;?FCHnMUR%h
z{Mqh&#oM%%7^xVb1Stey97g~#hj;XBy{pYcsc9d;Ck#g1e`Gsb!;@q^Qe?;nuBhLwMlHy7p&M>&LjKVD+n
z#<_U{G58^a$|FoZB+32dNYOshVXBF0j{V0TI6MaaXee04(RD~0m@<`S^`{^?@gksa
z`)w0oYvzFEK>s=?Da9OV07_qtDj_+!YpTMMQpz1@sXS$i4q217K}qRUgx)PLw_yl{
z>%QW>z+1fIa8)c@%+sNQ#t;267JS20wwu^p>~&Rgt?C(J<4B6~&iH*%9LDRNY248O
zj4a*)w_DNk%g3G`52Nb4)Ns(SWh!$539JB_H##OSzV-v1+f@`Af_g~G8}!Y!^8#;^
zwJaEolG*B|F;1DCQMkJ=kiuc53BDtUMd)Lq<1dj62>N{2W)`Es&%r*}o3ShA#mPZc
zc-xDhd6K9K>f_gYr}@0l=S;Qab3_L;nunQ9
z4@>>2OoR^!{n3Dm9(ucHJ4zVn{htgt9&iQ4YVFlcR_ZTkn|f)-r)?Ohi;vnRyJmUR
zo$~B13})?I)|PH@j~lB?%K{A$D4cXGJMO?g*OyKo5@bI|wxtrDW{j!yZyHo=1(>*H
zQiI)SrYu#=L{_~&@NHy`l}I9?r{YUEN3)EI4VQbaJqfa8?oMGBMD3{w)B&1zpY`qz
z=XnGkn)w}EE62ltZxjq@(Hht9RaKPN_S
z?5UNa7&b+t<^!UmDI)W*QPv=y8#oXfSbd6w5_@I|{cQM&_=fv_D#T^lL=p|?8C632
zEfX)1n1zP(-_jCu2PT632e|cRi6*oWpHVc&;c!bCf*Tor3Zqnp3%z+W=iQ)gQ&|mVg6al0Gw(K5#%1SOX
z(Nw=vwUbaYIy+xv{-r+l7k+}J^ZKl{adJuKs@LK6Syyn>vaRLt(!i2GCIeM~&m!_T
zGeb$C{<(};Vd6;7XvWwHcLlrX6qNn*_WaB8|h8`l9w;Baz=u*FgR^j*wytRI*3F5#^A{$Jw6|bj$(g~cXe@`-q8N|D0L;D>p%KcTMOXf+#GO^!d
zHjr*kYtgDiLt~I~i1`tH*&`#yKRS7kC8SilW{q1&*dFR$jCes$E(?0Bsp^FwyWN}@
zmC)jg?i+T&XHPIcO_-3t-oR*a?DCC^MW}3PE%t+9^D2LOX+-eGE-L8pGhRCT`yI^3L~&xTfhiMwelqj`
zJz-IJ8>5<@dk4o%fNhLR1Zc3QR%`&?wb-Q=|DYp@JsRrf{D@wPyqH?96};Qm)>-&b
zpHF)uNHXT~tnUpj64jJY#%nhIDU)zJn*JLh$cN+;>Bdj_@&L%-`{AM$VCc9L)+#9a
zxTGKWQnKOATkXApqJCe?i>BQgkB{%nj;IR__H2zp1_1W>zaj0E$a@5kAW_UxaD#$4
zlnK_Q7VJ&+(P_{E-sRge-A*dC;MRvKm)8z~RD=`G7Gj%^5hf5G0<49N0lhNlDQKq&
zNp&)RIbckSH;1{KKJ{#Gwz;Qh*R0BROF#bfQfG(ZP|7(OZbnjs6$wY;P7s$FYD?zP
zN3Xy3guF-)w?2Q}vr4ugTro?t_fUQPVKf!N$>K63df9AliC(DAavUXwB5(11@YK$r
zyqXq7y5|%8i13W#x!TE%-M(~5-%~$J5c?6w7G#drJ}T^8UyDGb-l;#9-0RqYoy1f{
z%IMF%;yDc|(W{0JaW^Y@lq@BvJ*a7W=_4MlkZ4;B;DVLS0x;J{G
z>Q4bXfb&894fJgRapspR%|7CHvXN2DYHfDL1Sus}`|(du_DcuCNpOO5-o_8DA9Xs(NIEv*H?8F
zklc~e2JdW}82vvWN{QzN7yZu8vsGBGg}Y+A6-FH^4fDaT!fMl!kYvs;U;$M7cv%?O
zn6fd%sgCAtWTt@f>$lsyc56EtD%Is61>XXWXh9)(dltaRG?2Kd!hGB
z)7de+TffbsDxHet?7e}JQxLk1*{Ci_Z{7UBB?@6hhx=T$x#
z6Rt7Fv%Z(i^Mg&IZc$#vnc>C(U+0%(Y-AjBYTADqw0X8|QS09mKdCDv{)eCeKpc8V
zTEr}Vku{$-xaCyhGXJ}-2pS`1dSoS!q2dj)7ApXNBGn}LxGqjQX44XVVMDOwh_9^}
z?3eA?+w#u8J2loSv{;usN1j+I;Ybk#3inb00WF7}U~UO(voVwjGwqO(w=dp82f3TN
zoI?jKGO+FVKgU`&V!o%sOEVXuzN%E?Ro$@y7^a9%qbA?0l{m;|(CD{>!T)Da$(OQA
zwpoZ83ylt6u46%ft=6+fKu#HT*uXmkme@g(ZQRd>ARc&|9tD?6+d;SY(y!W6HTTU_
zKe>u1^rhW@@ICcN+N}sDFqMgOX*oAoNIQ5CqcklX0Ps|uSYz2Ma8XQ*)
zmC$2mDor3VRsy_-0q0&MPX31lP1DOKcDuznO_AhRBnVS@`&N}z;f$Nz`y)Q=GmT*`
z*dBD8WQ-A^iRFVKUh6G@yMui?-a}-1pfbD%ml|br=Maw#@+(1k{_FHK!wSrm;!UKA
zTHEzowB}7$Il;bE_P6ULuCSkTSA;r-F5&!6OpWBgGiKiHgE>_-?+^|pZ0{6E5OLuoqAz1rzlOdI+
zk@@^yR{x8HuGDFx2F=%^BhCdrA{P$bNr}-cArV7vrVg_{{?*)E@3TZWli;CuAqhH!
z*FA}9(gzt>deKA2Q`_u@XW}FjTr2oPg&hzg38KS~A!m?B>_|eTK`0+R7hQifqmBo6y
z^ue;InQ{3?ku9~J9vvEYZ7_L81wHw-^RsB?26VnuIJOH}WxlLrjt+H^_}nC-N`Uq!
z`Uihm94IeXD~OJZ5aeL$rmFX1ON!;1*!?ZeC+vU`oGj0aki2KBb0mGkqL^TC_8{1m
zXi64xMOfBTVis!HJ~p9t3!OGI3%Hl!cd`Aul>=~?{@*@Apvj(}-SmBE$XB07wdOxs
z;VW!h%VG{dyY-HrnIK)xbSb+~fWkm?#*YBXH1K3;0e7sF*c^Y?#Hl_)1XrK@h_Pg3
zsReWU2p_uj&19o~Nm}JF$5deO7qP^>G0>jA(^gQZeH9tEyf8l4bqv%Un
zL287P!0|HORT6LG(X$9)40|DE*9t`wUD%#JL5Ahp~@A`U0#Yco;PtI
zgZcK$r)g?6VG;ddzBg8wUsaUlT3h1Ee9)hq*c}4Zc6It^wula+=$~}P(Y7s*@_}xf
z-;68g}}Lw;Wl^sCB>Y2-b@2jsI!GfXeun9If1Z2%ydbp;+w64!SVYzY}XP2ts>N))aFi
zY8_}i?Au>p$^p_S5KS80vGhQ$?c&hoD`vU>g_->C&OVvGnl^S?Xd%P%L5N-J7ul`Y
zCae*Wnjd^IZ~wLk*HqtlGStqjVOnGm?doB5NpUABk}wTS`7zp1B)0ygw>ORX=ePt+
ze#rj)Q|KoLNY*@h@5ktae&2r^w3Qfmg|*3o5DSh3J#MFZSk&-APa~TUJ5y9v@nn7I
z(%yNO`3>YvGY$>@HvJ^khPpNoRb{RkJ#K4}xorwn!S(_ah=H5mpx}o_hQE_uqesNV
z@?*lbMCWO!AQ(#A`6m2-$EAXi&x$!rw^ueVT#!KY>^YKImSjH7n@8Nk>n7N)!x3YH
zwmb%MC5aS{eD=7F3TO8nilczng5F#t@32c?=COJ!rnjvF{$+1_TLa1QS2HK(=9U@j
z5?BV_L_H!wq=wbcRiU8RN9cxB7YqBwD_oW;+O3QH$j@@!-Q<<<#HH?c{!aJ9*f$5$
z2TGRpJFSP&I$`5(S@biE|JE*Frkr_G3T6H4S|)m?t!whM>t;q^Ih!>jZP-Tf%=^onle0CtNlYq+UNtW;03}F0GQ2s
zJNFw70bqwCuU^Y}-$;tn#1z^5FV|c=W{AXZYylvvwdUp}V-UHzHLbZL7pz>148JJ-N8IGe^
zN>qMwVdhMFLjU2HU$Y|y&MQ>}b#soG1S_*=^v^u;h6MH&9ODdRuNcIa<^fbXkNExO06TTcL2t_lI#c
zl^`{iV^s%S?sO<2Xa`*rIOK?CLX=5hVKd%pWmMUg<<4aMGGB3~79kq~!BeLe1X?5i
z{RhQ~A^^&}oqojq(@5k0Bo@HOe~CfvvbY^T{B{0a&%@zLf7rf>wuOWfdWD5_kTvJ?
zk!vNm6hct&RR|N0#dUwP0*;}41UC~IOhaqIF)s|QSSaZJsdl18s%>G4GYG+|z_iH9
zn6XqY#j52K9|~MBJ`!}hXOx_si;DH9p6h})iwt?(LJF~sWHGA)e#MTi_QC@29I)QO
zPB6R~%F5C9gjh910u23IoO`!V(60cNZnRPp>qepurAhK2up7!S9WR7E7yByun;Oh*
zztBFOms)S(kk_6<+#KUM+_!A#eo63RlIL++MaC$J>8*%(E7sK+$BX5ODPbU^%jzn6
zT_{QI4T$eIC#CgB(Jxi;FtPtJ!Jfkm9#j13!I#H|_LSce3)Ml^zYfcI%Pwqa9DcER
zCY09+;1zSV{R0m!%Iy_;Rk#r=mPW8xlQ_!;ZT>>EMhl&4mv_bcQYK^MiD}
za}dojZzY<N;r0{NX3CL%miod#sPzN2g3)HTk#*qa
zap|yP0Po2AOgjVM;;_MkWyt^|9C2B931Cn4D
z^vlcvpdXVfY~Iw`6DqD+KX3Rtr852z1rkI{q>T+bF{|F{JGWhsmN#>}zLT%rm-%{A
zY3yabAG(v+D?PhDkcKASHb?V_0G1S8mXIoBLlUi|CwL2#nEloeoA2;wIikhG$Cp_B
zq;Ni7=Kp)roZ6pqG6Jn{dY}pt5uz@>g#}bOH{<4yg7YF$QF8Zi8$^d1;tYc#|`uFFLF2ICQzo({>M+eqGJn;pN
zbwgI?6bRIRijDcajX&ax;&PY^0AC?J(!GU>4$GEX55IbquxJ~^`nQg}z7xORw|jY8
zJTf;feezgj?EgdNM@B|EnSe5t;`CN(6J2W9b4r&44T8fQly}P?ql@uHWTx
zK@&G0Uo04cwGR-Ac}vfP)zNGmGczv2?rC#LUtgEPvA=U>(B>m;e~6+JCT+QS^btwo
zqJh{21ThJ_*lQ|8F#Is4ANKANOQa&^zb)@fRqmxYjV|%wFH>RH_##}ObjUW3R`xtF#(1cQH(0WC8(w$gHm8N~jjT=V3%L?d%sRyn
zI>d&sCgDLkCfHg6i@(Cus*Kz)EE))W>kS987qObtS)WVhdXw0Ks|&kIg}fo+9ty{t
z&a7T}n?&vP^vCN)%6BLCb`;9b(C7HGqT&psN#XX^NQX{<1EtycfV5_bwHLt^JW
zb)VS=uF$It)d6~V@Y@Wg!z>$1`^-_7h9IC=w->9w@&K)5dr$y6tkViQovrYoSIh&i
z-L6OsQPPRy4dRDYK+Oe#LRqJ15qq=Xk+-i!92m>w+C_iqdr5hF}*=yc2(z^+E}
zgQ)iw$7>W;Ek@tia?ED791fN8MxM1_kWJN!+`d3tj5y<;UqHI-c#i-B`dM5m|4fq)
zJk1$P!{t>F5IEl;*ELmXjSup>I@O>UE&O~I*7Cm^1AV~EErf^c&Nm*Nuf$H;o;G>x
znY|uN@99q!N(D*^fo^ijeopdF|7Q(UJ&6!0i<=^}8h2+D(iGT*-V_?=-;x~bYP*n-y5(*itoh~Y|{Yu
zfHQ?@!Asj8!b^>-_zY$yWV=PuTmMxh?x5U-EQS#RBNceAk$m{X|juHZ72EgOX6`KuWdaP9zx%t(a~;Tcf+{q>LOd9
z#MQ^erIl~XFKX_^UbEVhO4dx<>NC@tw+rG`OfG?`pVbWVE8{9QV`~;@d62-2jk{A40rf`
z@pt(5f=h=@&v99$mV@{w$V8Cq8)k0_aOIN^q%aOLuuqDI9eeX;ox}U8~dW
zX+Y~HwLMi4+~Rlj4j|VBt-3$KrfZSAje9Z+o+|{P&RF^(fK7iW<~UpP_J!NHfztm&
z*jGkH*@oTD&>*0MfJ%!XN{UE>5`s!2EuGTRNDQEok}8dKNq3i&baxDbfOI#*ocrN@
z-*djR&W|%|%^w|}xZ}F7*n405&z?yrmd-#RY4^)7!F8MHij)o9UQ`92S?5a3nw@-N}9ZEYvN>Kfgk=FWu$
zCS31R9zZgOm7e)}S}fkIU-y26ILy>X+Wie{I>r6lpIt+eUq}1m=sx{!sP;OZ@rFmCR9WGs_xvVa^k0AXHb5oG6vUWok55n94D(Q@i-`AZBYlz
zQRfo;2%8I`M$T9%cEtPVetCN_WmM{XPxbc@7DOQY<@%DS8NV2BglIjGu$1lFblsL
z{``m!lT8#X?^}|Rl7hJKus4o_Qa&AxyX|-2Ct%Z%AMa_F)`?PF!4OlwW=8H|4SW}I
zuL3H4RNRJGK!5Ou?L~rsgB`X1vky4$CQYJ&m_(Rz5b7A21T+X~rYiuSP$}e39~ikw
z+eTE?`BtsKN`gbx>2kcleh<$>gh9C{7
zZdpKw@2@u9ZJI@HA&EJfaEF^3$X(}U<;~{XztE*FD+czePM00Xm9e4ORe3X{41LVU
z8&TfBBE5aQ>Gi3?2^k4*IEEXf(%;9+p2xfY=+S+AVjeuqTNo0A=3Xt#sj0VqGJf=a
zHp%E4Ui5Lpcr{~f?)*GWS&mcHQ^9Fg%jR(9Q26jhO@q@`PKK>2VvUWdfuJ+DiM&L}
zh+sxfe9him?Ap}I)3t~5mwYFunQohEPtVDVB*uB>IkxKC5!YwvBJgtwjE`{Ge4oIm
z?LzNgP<=BM^`FiD&Y(|luAHIJBbz)|FgAJ3dAc-xmV|^Pg0wSqEU;sd>C20?_4Qi-
zD%O?!h|p^~hHo&F`qU8qRGB8qU^2t@MFltH+v3
zQfhsDB4BHC8;JMY8g19@%SUz^&zYF?3Gd7L5#IXgc|69ET*WaHK?us!heD47k(Qmy5Fu&6kj$i#qqVV48lJ#j74nUA3pqe+LZe@@O
z;Yad`Z%7h^4K2p9>UJW0YP6HL#OP1i18(xCwjl8~)qQJkTvYz0dbencb*vsNeaP4?!0!bZ_RQ+)*vw33973w6o}Qi^h7F(C
zMmF4NR~_SCKajGte8|quZiQ?}1Yl->6{2`zJ=F@-U;v&86H>?BU&f%M%`3_dg%RAX
zf_6lh$PpDxUB~GrCJtc}Rf|pSW;+1yc8uhxXx8x`SN<$mk9?USlVPu*on2VC5^MH7
z1>7Fe^<7>z{meZwKJIX(DGC~ACxM{V&ractV+8j1bR}s8z}l98k;`ZhJ;@#KjprL4
z8^dX;dRM&?B^&>Q$Qy)fnTuu;euM^_Q{_5qz(bNzQBj#2SOvnB3>3k|uDc7NkL4|b
zF_Nj*7@UQf8n8Rp8Q$G&?f><8IVa|E`lYqm&X;~-8NKV5LbF~rO{da%eQ%b%d+r6G
z#}jKcH21z&6mAYBp_)z~)E8_U$z!d2Z7A2f$?UUlt1l`sPSfDGRcAYnX|Pc?N}R`H
z*UR8Q#l+dQVHmxC_Aa~*rzhsd851KTqmPw%;)Z$RR*HP_a8XIKyt}(lettf5!UCCx
z-QWIn5Xk^??*L?Lvg+O4cs^TGsLcrwB-os;93C1H2g^0*HNm)38miK-lP#ON?G;t1
z@SY5SOt(O)$5rnZ1KJG1kX!}QHy^4EjEsz|R2)wjU59=GKxLSj@`*3mD2%{O6Wq6|
z>kfuqL8O)6Gl7gBEASk_ltW=KBnSg(ZsysP8c3Kv3jsn#E3>PXJuy8j`+d{piT^e^
zmyLTI*!hK}6v#b*v_r=&vxJCajmbaO0Bg>sRTcoehyJ4ir(%oI2jHb*_G?J)KIgKU
z;1cd{IYyZ$Q8CI0c}smb7wX3TG2Misv*Xx2Gb&|iZ6Me}guBer^W5xFFTVY5vC(oc
zx{n}#yOo-tSfu&<-j1PZD_KbFxp62aPw}?3dWb2P*@svO=45W;Ov6t*nVV?*i}Pj#
z_OHvJZGvT2F6l@fs?Ri0x8N(H_;Z#`&Rh~aDwIaJq`j&)q$DMONIIXX7D#=mMdy)Q
zE}t}nt+=^yCKg72-oQ)F#@`?10SXa7&8z?7bU)t~NHMP1fiKn=MCGvcT-Wwk*G4|b
z48BLE1#|3XuN;_~>T09Zv+|6;E_QL_$vDO#FhhfDi1*{8FF4BV60zV|zKtEhxE+&ZhX)C$Y$
z>(3kfGnSBi8<>$a%uiuWNcYGR~|Raj5tXL_kMI=?hhBex`(u3JobNn`G&gnaCg`NS@sggRb{{)
z$@8@p1Hk|1Azk&}T@B}3ue7zb!@lI?8)Brrfh!#+jh=PBuJx9ZOi>8wjjr&VeDB3l
z>Tb$Th1|L}+v7W~EXqEA*;6p$j#0PRj8FTS0X*o7`cDF#ZaFB?B4i
z4jsE*-1Yvcs6gQ>ii~{~6oAz%0V%fy(mBu=SEOt_thv_KnF>cop#R
zCV?9OzY;S8T1e{}$gJ888$B{+je>f8gZ9t2X1vZfg@G;-z~t5#C8j8|I(DhCVy1~B
zh2LKbd4Fzu&zwNxG5>H=IiYutBv%Vh@ICk7X7?bDyS_b40g1$>Nz{DuCKXo4NyzGM
zbrF8|ryDX{wT|nme8}qWRpZi5<(;K2_W(3hU5C}cfd&PloxukmsPY3L^oxJ8zg5Chm;(r
zRC;HVr-eMm&Vz}bOg}9}W-(6_
z`c66mX4U&{W}E@#8PE$iQ_D(fB-#pV)|)P$^TeLuJ6p?(RimZJ{x@-|o2JJTT?rPx{zu#f9nK=y{zZoznN*vgY!4J?V^|
zkHd}DM#9I=H3cLK(VGdN%dSE#jv+c`a`hpK$lgy(r{
zjCH3UAJ~{LaRl`Feu{Q=Kax2NUhwTw+Hl}~uzEZ>`NiCpWf(eDfYN*sFcDxCx3Fd<
zh(C%oMx7mA%;SpDC(1hvJj3OFfADwU+_@Q>(yr~MdXe4lpNi83&JEkz{!*Gx43wyB
zQ$2}7J&@b>b?xo#x|nHOzm*X4^*A}}t0bRK;+sABd2}9}vfDXVS`GM*AWX;Jbh`Jf
z&^ysEHN1-c6xWL-bHPgd7G3gt4s#dPRF9dkLxAl;(sg`kHTAmj>*5C=@M6+n}E*jWrM0%qBmraQKE
zN|8sFFZ9IkCMOqV$ING+TSs=LA6l2%w$37BtkGfw7l+j?NgTZKDJa40+GZQ3@XEU5
zovgIk@n%mhp3NUTJcNcT5*ss#>lNuP92>&f!`$ETZ5kK(ZGDbOPaay^0+tzrS15`*
z{o(fUQTgSUCQ4S1jtZQBM1le-`E6NDvwnka{mf0LUjQ7nDbERT9u!`Rb6?(Y@R(hh5I0z^Bq4j(tva;MeVX;{cckXWe
z$Ochh^`}a9M#gHV>*jmdeBhkuQ{vY=6?LD)5@JM28CUugI^tS<+;wWdrdnVA_^OBbhwQ6g<&6fi*>`I9nqo)f1?
zX>d#dXLvD>Vf1`zxSOT*5Pvu2^B?R9aYdS|!c>
zQb?hgWX7a4cb4*Lv|C!%(=?F@Epa~m`GMWDm90>*3ohs@I#ZE&{HnWY{y!`LAL7@%
z59TdyM;R%!A_)nrnxdl0-;ANNmXY@n_lKYCpyDy;bMOgSKvDI1L3W{M4rYR!iSK+Dk&@2~VF8%9}k`OzO;wTMwEQ}22zh>@z!X|^X9n4}5
znC=x17bZnqUuD4~#vpo}q!~&Z81Qv&AZ3)#qpb32W@T`uLg0azpLszRwBzn#KUF5H
zQGf@R42XH(YZ5SDabBlLXerWqz~mh12_rwx(}@?c#oK+w;3;x~=v5hp?FNf!z2UzU
z*tx`*>vmg%FN9wR#<%ZR+%TjqVx9-|S6B|mg60wR{K+=YO_>z*VxNUq-Ja=a(vF+l
zqTwv{3Uk2YXK~W*W`TFwK07lD_agsWLH)HEzKGuY(rJOZXqs}vNeUb;M!
zOy8D$EIkZ4F*5M*k&jw&7-|ptF2gU>WstQFYiiD2@-(fP5*H(h>)1{Ujo3M8*tV^}
zl+cZZm1i5-J)8C4=IiB59s8*4h++15_x{vl&3&0K#PQ%V;u-Gi@tVNqAs*Ayj`6v1
zZk!eWe0Mz*FOaDFjU@P_3*Jh-b>$sGH^!2Kmm0M{U0_W1Tshjo>9M09bTIMUb~11D
ztGnx0cQd?(loZ)7J8Yk6#sL#Z@}ZDHd=^_Vy%q?k8i%i1#u*}vbxfR
z{OeN%esb6gxqvS6BBe$ek~fmKD)Q8su-O!-s(kAxgff_S%&k~p
zH^Uy|-wrLe2==>y@E?wvMz*oj684u{bZOTz7q#EwhLUxVAp6$DB)8miPGD5W*w(92l6H}tm+}&Yr#q%9(705s}xzp{2TW^f_
zsc#xi`}^F}?Y2~tL)rA-!LSTnu+OakQFFv|*r6@7gbvPG_22G%$3=fjTt6V}lFhNt
z9LmD_>G^Rsi_O{7MzXkbx^+4fS7P
z>^!j$*q)x>NV&0dTbC0me&CWuMmK&Ezo%xl7yBr!@+_(ck72!H>_a1KhmG;o{gufv
zKMIpnvZYR}Sfta-S%^1M!$*i$5iGVR!v;d>w#@xqJ=L-8KWm1x>l@RGDq!ZTE!OWB
z_Xi8WZUP@vj8Upv#KK!FuzIavBeuW_qcKnJY+BSe8guj+*S_b$b{%WrG=0fA&if@W
z&KlSB7T1T(u*7I!l;~0MJ)RxC2ltNfWfBPGeTEmH^&^?u7ZV^457z(JJWR6cqgY`j
zny;&Q(EZ*fFmfS`p<@GH(hgZXyeQJxw(RNh0p=!a04(d}OiC-+TgV^UvWlO_Q%n{pQbpRb(8#XSi&fts(uafvjH#M#}`za{LEKFEb;m(MpgwoRZ@3_rs+%t
z26D;hU5vHk)4#|qQW<1?RuRoma5F-Tr=}y8VD8b5E;d5j)P@yE+_A0QK|zr@%leOEiB;%me1stn{ZVXB8U1*`k0q=v)OUix@pC%2
z+w&2Ae+du4D$dQB+jF=)6o%&*ox+u@c8;OPYCeaEZW5R#El*D+L%hTk$3%3|49k8e
zrY{o1s}^-#&HA34-RvNub`&@v^FsR6-QRv1McF#!9L>i`ey4nUz4=*LrE`c0h+1^1
zD;!olgZIrF^!8}2Cr57uH=I5}VR(!ic8hgvIsLZPvQ#yD9(KLp#h7Nf$>BshyWV)z
zc3}JRaeBjCL4M~sHf6c?MFZSRJ6AQa_AJbY7csG}m0Q73aC_}=t9821m;WbwW(Rr;c(cP{a^;Nf*Q%<;@0
z!;8Z(rQ{F0kgGqtP;<0G&@e}6El4|Jg)c?F9IC|=-DlJ}9B0*s_05H!5XX>I7xFDK
zoQiN6IbSy6ZcCjXp?G8Smr*XssG5S`3NCZk1}@30aKyfTWwmp6F_X0mxiSR3I|=5x
z>E^fLOcCRHS>7hGtl=lzuKgd-U42gPaX!Qn^m)yil3C%hnMyk@+xF$*OKRKY9}8FY
zKf4J38A_6Q;%FB=JsM{kAjfKrxY~t3UXo|2fXvMQe*G~`jD)vMW!^P7k5rlo++viE
zw5udcU5bNnp87vqYwnp6eHNLeG9W&7Wfvlr@5o~Pd$NV4f@KSK@jEQVXNGj_IMywM
znJZ6r;TL?@a8=n1FWVQ`p=)D8pYRiWzeDkFB8Q>OqwNrG0=6W06l!VVI7_yE5Sb-QUR`L
zkgz&0jH%mHFxy9aLkwOw`l;OZ`BA;C!K0Ay3u&3}*mFYjmEJtUXy3`Jhv)6*n{RtC
z8~pRX_y3;hee>7T1rM3)SjT+TuMBY|7P^hcD9)&2e$N+HTFwdZmworU3-8}gLcXl3WXLk@|XYKcC;4EZ4
zTQdzdBJw-gjY`C&4vt7jAwDXz>N$#e;>5RMGOjkXAd=r#Vw4u?>}0C4W0$Q^_}ySU
zYMfeQ|1a%|X8DpXS}L*=G#0~ng%J?4UGb-Ev&}!xEi>#^<>v+@Lb5sRQb(Q
zdXW=sW9n{O5^H&7Sn>Q(Uf5d)!%BYL%)SD`js>i*^4hdKC&^yj#JQP654X#IyyE2~
z$U7a_TSBk?Uaz@8&o_Sv?BHn}zVpQDuS*h-WcqU{ZrMTdBE|b)rn+&So++yF^Uy9V
zx?I*qJ6LSk?I3**B94-
z60z6wF3p)j8?VLSzwQ_H#944?@*o7(4V}F1)aMf(gK6s6_WnLNI%~i#3y?X8HTPpx
zqAq_88TE9hOD>AhL&QaNQzO~mvWb#wT-1hUzOlL~p-VU7;l&ERjkoK{^&|D2ae1p+q5U3wxScao`KlQjL*pYOVrfJL@t%5QB@Nf$o-BxlS1D2!UAUPLFj=&_Z
zcd9FXCy)m|1?}RRTLa17T3P)GxErbu6pPZW`GkuOK;s)Fb#-Zws2IssN~xGthc-0D
z63Np`)JDSk&7O0C)}x1SU7#g?2YT%IRDNQn1W_>ndVzTJRa?@C0MMQ8Glb?FmgCz6
zs30Ewr@OUNCk+rn;W?`zspzq{z6wlM{PxKfK}k
zkjsa2%bjs-q%61(#eEoQ#FWva^;OAT<#Z?jcUYEvGrkm$ykG`2^|pQCOQ4Kgg7i8s
zHf$pR6Z?(P#7<`xo~&KS|y7W*TA?!nVR4P@a&xAkvR}H58vvx599!
z7rW?eK=1sRsSjtZYn%?)Mtc<)6C*EcWUcp21o3wu9G>$!2oeo~gqjvt$e3m4cRT3J
zS_4R+oB-&77reXJaeR8E4Gb)Ea+$W@TZk33>v&V
zYQIcwON-KJl-7rR_;?c*C?glN5UM40bP9_0W*wnDW=K$@`IC1Fnn!jkc!K(0P#^S=kS9r;-LL+gUP7*2Xh&c>2pCyo@<
zGQ8RWzz6gexZR^N-$X+^>)I_*>lga7erED*UU1)q5u*5K!|8>G
zT8kM37k4w_D=K=*KFw9QDln1Kpq+IplVN{zvc4OF&3yrSpPIA=%$q!aAO(Clt*=?$
z@Bys8oAaEwh+8MQ@asKPT*J)*z9n*~wV5p6iUivSs?skzkOVn;pqp&0_2!ow@mPUI
z^hfW+bufWNNd+S=nLc)6Bcy$KVI3^)Z;$fchd|yxR?z7IKyTP2oof(-^J$2Y8zY;@m1Y9xlAh~}w`A5j
zQH;c+XnC<8RA!uZ$Z~cZGy4~{WP-={%uysK(}E~Fq4a1oj$MhA-xy~VD)9jUBji`p
z>oK!w$+kwgbe7wyP(GiDaW*nf;q)0m@Gy4T@7VqU(#}o~!|{U&ZlU&Px4ojlD)I*H
zGE2H)pDfaW>&$*`koTY^No{8vn>Niz$%HPMw&&e^g7`Rn_RH2V%wrb~?91YoW=V6b
z@MDUyH@Iahg)hX2*ohw>h!UtuN}j>59zu5T+5>gT2+ui_XdRdu>FO|pO}B%
z+jq(f^nig+09g(9H!C%<^A-RdM3WW{P{#sLyG-9u5(?n?zMcG7zLtrw#zwn8EugQx
z3CgJMw-RhIql9>(gC~g=vWzQSx65s?nEDFVdn~eTY6=;bA@TD8StZO(NS!z+b0KLmqJ{2@ci~YNVtiWzoW!)#u--!5jC#GOiB@}I}un3!mw>fsMi=pM(fHHz~l9MF(Ot@Tu97na5Z)jdEz$JAj%lD=^m
zqpGc#Vjur?&fAPz?)jz4PSvhA1)gHieZF(S-n{Ahw(4L_EviqisZ(&1y#8M%}NjEd2G8VKg@5nOC1}@ygg4%vV`hlPk
zuQBKV)@sNNpy}BZCy4ujA_SDrgTr%
z8_zO45hyi{K&R+3d#HQvz3LvuA!jBj>HOnIKNTaR)Fbb}c@BMp
zBR2r@=t&Yw0-cbwk;_o~C-7xG(NM{h&G~Um0!0`EMg$r!4iX+sJ=`xIa!eblJASFH
zS471mYO8MHC%!N-ZEI2?#6x=3AaOSg-w7x!gGh!_nCL?K~
zz?MqM8ihe0nAdmL8wg5+#x}#7FB40B{34Gs4G9wamOgX7;H!D0=t4V!;)!7Z9s~^`
z(fG5xCZ#u|p%KHImNXr9Bk;wSj^
z{%aqH^v`vd=8DP>mi?m6ob7~`Y;H-ClF*Gd0}W$HLAHPn*i6k)L2N=8=JGbraP5V3
z69W4ryytJSXHzWp>(#MsgFrf*Riy8^vLXXhqedvL(~_PQ4`
z=5uLNRUR^b%tD_m&W}gB6zjA#d~Y1&;Vqv)1@vmHf&-V$Z|kifxu96%#}uo6VhAqJ
zahgf@OZ%z4W{`{gHgAhDjAyD~Cn|4})pa|&7HjH~XhwZ+WJCfbHUHJE>)SC-+2zBN
zcu;5+F>jx
zgoMzWadKrXO<{mkb14qP^jxz)v**Yt%{sA>WG243o4c$1v+qfCvn>90az)nchP25r
z)*(6)|Fv>sHx_4AtWL!OuEgG-8(BJ<2gq>zPAvqeJ?_lm4%o93)-aG|FO}LCZe7Da
zJWw`NvFq@r2#(%qJM}HIX&;#$tuLM}=zIP_YU1R2RIqSm$jAO!;`Q++Jzejpd@ffe
zSph7Z$J=aYxwG4K(Yhus1CBen(=X&IEV`KD*n`**@rF?frfei{j1s?S3sb{PY0t4|>!<;{=d0&T)kJjB)d2yoBcX9+SDIB50g&MuiAvL%(Fx}KT$I?w
zX*S*vA3T5QZv?i4iP6gA^rRwA+jB7jDqc_vEtiK3zTZpRmAUBP)L^bF!+j*7QN9UN
zBfh-7!|pP%SLt0#Xqd!dos`<7jq3$Bh^d5M(9|nnl95DAjp;R-lSXKnaFHa)-~6Zc
zLHYvab*4Vhr#0(}P=jG?~g6(
z4$h~s@%v`{v8B3G1#^#mZ)tRa5{pbZ6vULb-RR|#`e(JuJQyd|AN?_}D9-TwIZdk=
zeAR5T>&x(29ftfPoy)8a>8u#CFA>$Mmdqko|p+FChJjP
zyjdYjtPRFE)iuHpq-?ML%+F^+OycaNzV^0LASdQj+mGNAM=Gw{Q(N%kFpsiPcfti+
z@kPxW(;1N>%U+$ne~
zl(g^3_dn^7b@nQZhY_j!HWJMo^ANQsHd!
zyDZhwiD?wDrf}I0QgybLyL0=EL+UE~=|w{ARkfE3XWAA!B^9IQEl;(F=14Ub@^t`?ipN4dn6dkE
z+UwbZmar)U?XWibyN-6?yaU_QMIJI_IegM$~KkNBbW?^H9!k2Wu1rB^*kG
zDj>DKmIjR!QUSi+179I)VtD|8e8DHj2Is>P-t3S6tmun4jH{F{;}9jNf~WC%|AdD4
zg-R2Y)smDX$l&!p;{n$8fBx?O+~A+zK?T*b4F*OM$~G=3m8PpJunJ+z(m@wVPk;<}
z8GsrgGQpKug)n4>8?XLdFif0+Brx+n$fayJ94f(>B2>0k^(yH0t=4{=-c2(atS+Ln
z&ONfaZZU}HFUhZ3B0GF~k=PWM4iqZU*2Dz@j^R4m_}!P4{wE)6D6BW9%*V&-1~ET`
z@ww)xY8O|UP0)-e;6_bcUQQ)MT{!0I80FBYnK0|xzLV{yOe;R|Uefm4*4mhc%mONBLP>0aDL6=CKrdLx);OR2fZ(4I%`z17F84;Wogg|d;tljg
ziA_0wxSNMv1$ublr!Dt_5Oq*dP8uBU^7ou!`$^c_jo$gQUYGPStn+VRgb!Zyfm>QUnVl%
z0xo7Vu4|Q6yKItj3a&Ds^l2a;|&F-c2
zrn_x0;iFEX6guCl6D~$`AsnlbsH&}o!U$mbU}=T$Y4Ol=U=w4T9{D7&Ft%sB@i|dn
zbtPYi1}fIU+ieN+c3m_QF5rmM=#5afolO9kWK0QMaQp!*EWxVM*I%qFD3@a65QLIC-QtjFYBW*n~jtDXTpcmbX%={i?a
zLBblxJ*bWO%N$GbK2%jQ2Ir#SMdzd8rc)f(N_f1(8?l=Sg)l9&G;~qPA92p`_5Q0L
zO2fXrKU0r3^1?9OZ_Upc_-;cp;l6|1fclBGzAhI^Dd;cbpmAeE`x&Adhf?~@>
zd$ej-KVTC6ALb<^LC8DsYU)R#vVjM<@T3zJ1E%+@{TA#WqoS-$C}~IXR|brM6!+N|
zue{X%3`=THk;B6iJYDe;=S{7K-4I(yw*B^eZ_hKpgVNEhDJ;qBm@DB
zdl7V?TYz$SpbHsxd9@en{qr!|*~JyW40-aee0zfHLLijhbFC{O`3$|nOIf%(I>t%O
zDGedSSZ3rW@VNg8b7@ZSS&w$d9#X3G|FjAWXWN)+ew>Em1d3wK&ve-`B5X#8D9amYFv+V-NQ{6dXyltROh4Q=-b
z7ir@nOA=AC);Qf{J5v<_fcpzI9LS4hJ_wCv4idc}T87AEc^bvOpj+z>NLHp672IlB
z5j_@wM%4$G_7`Zp3P>MiWn~bH*Y!7Mz4CImRz?a-pEC?zv0-OHN>NsQO!DM?6
z56A!ga1UZ@yv*PSdEn};nsq@hQP9bX7IE?J`Dd!;$a}9`ft)#&m{*-sEs)e+1Q6Nv
z-F-mfumfzip^=eR(D$tBXv*?58tj*#P>i5C9!^wT=D(}yV6>0qsZt$z^RcJbK^h$#
zg329Kc?~2#1H3UxZ>Za!6isfeQK$gUuO5A<<6X8jn5&g6!wnML=~beQ
zfHDO8e20%?n>;U&jK}hUDEeX_x+@?b5&XhZz{DjcEZ-D|Qh89W9r{ExtR)3ME!2*l
zoG=?of8l0X@>>?b`d1wVzm~t(($eAw%p*8x%PbURQ>X!~q%!2=L7((6YJa#p?G23z
zqtUKMj?8yO?eIFeYY%n*P##z6X=|HCcg$t#-y@~loLH@~8H9(g*YtcBi3iH$VL*{N
zT;jS&S@zM@sr!Fsilg4d$S#8Hp{KO--pp(LB-y;GO8`{$4t4Uje~~pzgATpvCfvWz
zzxbKQ6=bMRXI4ZzLipx1Ub`DWCvjvVM&`~x_9OjigTi^uF*`vwpIncnby|J-v8ccy
z(PQ#=|8Jfx=oV_xjn-kg=QpS;ECE6O1v9a8&FBo-2QR?%ymZD=&EETh*A}Ih-u}RspI{OD6lm>~7-)`Fa{7y~vJ&eA8~8+TQ8#P0PXdjKZnW
zS>tzN)9mMmSlW4OrX$$nRkiE@?^X5~z%uBlt;VC4IE#|Jrc=B2KKQp$yOY_1fTWV9
zz}mObgr~v*P1ZSoo6lrCDv7uNZpY@e`gzu2HD8C!qe^KpZ|Vou_6HZ=V5`Q~Voy|A
zCC<2p=w;5X`*M9jL&NvX%pL$O+?;;<_HD6+ie!3?q$5!>BW8|{^CY%+CDKc1`%HAw
z?yondZ`QA+FGL8?GLY7^H?EBn5dBi6$v#2v@0W=H=29lZ@p8j}4HFc6EsTE{KYqy|
z8!_D!Mk^9`cJ^LNTU)c-;wDHJx`bV23?|
zaN4ip+_Wjow&hz{V=An?1gw#8wy6>k?o2j$9B*U=
zdr|xJLC`F>OZ?1vv4`I8umH)Vz8nC*`IPJZj-ysmKoqtn*ybqOV=Bh)hPzH!gkw}HGGf|DqrLJg|)GMR&m+v{Q2mh0p<-kf1!@REId4!{G-z{dx(D+!9y0(|5t
zSWgSq0js-kXQQ-#Zy}g-57eGW!#bdkC1;`ILGjA;{77A*&)`pAI%gQh{
zz+}b?amXR2S87TGB}y;Px6J^Pq$iFyxBCzf5<7%5v&^T$l@Lv1iJ
zcb|XO2bbOehU_yHx346l&w35i0u`cqnt?Ke$9_EW52%Z5?^<^PPJt`xa2%qdA}^0B
zCjnhCpkon|gb_X%kYLlTi_x~J{-ofsK=zqdFPMUT
zAxhh(^VXwVM&_25i@+;11@4f+j0r1W#1jmPr
zN25@|+*N&n(;`&N0>V|y+)Y2&*RNZKwsnw94^mKc98@;ij=vt(s5Q#`Kp~E~a4IeC
zB9bi^vAO>9C{JlQg6&BdWw`EsfNCOQLW)8aSF8M{D_aPRG{>!-in?RfzVonjgYc8g
zr8OxCu~%jkKkoG;fxakUj)H;e2&gG=x8DfsfQU8Kz^!^m?SHsF4p@NO2UVLu=jRoS
zqv6C5jH?)FAXYonr=%5dKs!axH!z#_mb!&(_5qun+wrfWP2KKudC-O&h_k$emLc#U
z6G{>2o$F{=)6Y-Wz~P6#$nh!`1oKWoo9g0!ykTYZk}9R
z9N~kB`^bEN9%B9i8b8GNftaGek0S&mzV`O#|FB<0I*lV;h3A%Rzx?9HS>%tXli7WF
zd4Ftllp7RmVHLK>xg|m5KTaGOi+qpU`P<=4c#-wAv>pv7*g>Enxr^H(s>e*U1@eY?
zd=iD-9)Z*DcENgyacAVhR`~0W&ta-8X1<>c@IL#dV|UH|I~VCDCdMmh}CY@SVpgZ=B5UG7h$kd>j1lr5Cpp&o9cNQ@Fw61
zPw$p8Nca^2;yj1b9X^}%oE+9|&P_lU`Pq-SbO2&EJug@iTbq0^gKPAZbqTzGsP8=-
zIJ4g2TQ1~2R6KT~_f<&;xYrVJ*nHI;7|HDuyB5FV=K9@#`d=d|j@k)4}+t)BCq
z5hKv_fsErz3fO5wKY)Q$AC76i(}`A*7x)Cnd|z;DCxg>75U^FD&LVq>+aCTRM-v}3
z*xG?Ig)2BYHNYLBZZTG!h?$-tlj?FazBkQZu$;xK0liYph#2s9tin!%0M
zan_7p2XW(R7UGNrEZNa}u$V_C1P&{GP~+uo{yq>a_TaN53|OM&`F~?UZW-0}|WwQ+Ge_=xAjL#Wmau_8T>CRtV}
zHo_6R;CUmTEvC;|JWONC0&i0!t3?!S#`molKx!&H+8y
zH43(QaE@@ye>VY#MWey$P=-LE5JyDrP`MUmb6onL2avBwYjTouaC+x-s
zi;@Nh$gl$+r2PIkUSe|6H{V_vnoojlJnj07{1`I9PyO$Xz|29#as|YJut(1ZfS)(b
zy|fm{@*V2f&N#N&cJwzb%znR@4?36t@9;gde1eQHEdXoKu<6u%O}aeDg0ycSwjoeE
ztFl~K+)bEnI9>+Lk$wZyV+@`X>fMBmY$*K9-D+4&dn}f;#SkIq{kmJQanM}y8{`v$
zkqq<|Z%I&Yh;qN?Sc7i->c7bUn3q?z=8iJMJ#EbUfJ6>}I9H4F6=(fdpgIBGT!9P3
z7@=`vV`HKD(}9Q212DF;*Kk=~4
zYbRa4tnN
z3N%MMnHq1P(3*Z$a-4Rq_2QKLkw+<~Ex9LtNQosm_9rQW27|8)PKv$HQO+M#bwAbi-u*An)H$lS9-l|_2vjaPds&TM@
zJy$~OsJrw$&nLcuKYfYYx*@%IL)~IS$GO8psEVUu+QHcxdjOBV)9*=rNPFjTsq(ek
zr-e?AlIefo;lRkPV{C%Os#9=BS~W$POo+^(MT(ywn7DAFo}stNr!FCkWcpN!m=C%T5>D*Yz0@nRmLJ
z9`%`E2gznW
zcr9Lc$m;>*7|^}(2f&U*s2My6=tB7y0ziLP(D@w#k^uuS4@tOyWoHDo9t%bAAmFV7
zg@-E83;s&$LeEOQmaE4#@yO@ylr26it*YYG~ny2tK7kVeO}xwf!%~!
z-a8bOJB+HT?*d7}Z%|U95P@13uoVNSJJ8Zn$x7XQ0yH-i!pOcX7|3}$;Lt4-Zz~ss
zk0|Nr@%voy{+hqlrC$0_o%$X?YM%%tqmap49r|(IW4t60UMxb7G~tT7H3;3FL-aS=
zz%Sp{9a818)A}PBmF2(?0-jnQd*#eey2~BhC{De;c-w{-uU=h){6wH>G5;m$f@wHQ
zfrYl;GaDSp4jnWuMOKrKynuGgl?gTKAbuW7-3fFq1TIe&V};%9i)VW}|0h4sQpfqd
zR*IGXxU=4NcHvn`nwD8LMyf}%QbST8`CX^$&X!o#pAJ5R^OybsneNp}a+nD@>C~Td
zw|f&Aqe7f}Zy1L8(qIJm`Uhr!{^iL=K
zw@>hmzIl1l(;qg9&-ToSX?{4<*uw5|_A?m18X(4BdspP9g`eU1QNXU=G{4m6b%dWk
z7~F?R#$#8cg4dh2RQQA(U`-C0xKTl7b`razYI&?Y(m;e?^Pz2dsE6WgQQ82YA02b`
z>>$HY_PSp=4+KsBe4j(>O8*WmzBlhK6R|Js)wT=v0U6|zm>#Q<2=Hr#bJT+ku&-@A+GH1enS*Dg3-ioo?<{Au8pe#gaUIXfa$v;dGpa<1?!-b+j__#5hj{v84Sv4Cuw3xfzt9SXRCJcluxpk97U9Y
z$~I6MI#l5Db8ofb&b6J<`QIbKCqGUC{qE@nZMjcE{K3JLTkU-3Y0J-%jIim$Es1EG
z=ZS&Kl&XSUL(0K0WNV7sYNyIiz8uj78Y@-x{j@*m2Tt!d-UsL~?Hpsu1_oF2OJ$eDBzk=6^Om<|@%P`kwzuu-_r@lZ
z)3Tmfr>t@ms8ERSP6*|he%pJos9KSA4!jLf(9Y!B!NL>$IS205&b|1QT(eeUbi(ci
zbMlE~lkK%ZVb_&R)og!=q;~V$=a-jo{+%?HxcIZ1MeFJ8C$Ad&&a~xsV`t=vp&S0(
zn2Q45?~)cK51Kx%$jT*IB4<(**cw{{6F?c$NmbOqnJtyqsNG*cj-lflCc6$0KWPCH
z7KkL%7Zw?KqRK&cSV?{aK>_F`n!ML3h7|U?ozoZVtIHBJT~xrjR@xxls~z`4VD5nL
zB%b)dwN4YB^*0@r8mMEW5q?JDJ8%S3x=?}pw@1d4VIZVGPejX?Lp{kLR_noCr!b&M
zPmS_cQ{oIgXzI@-wX4YCVQE1Rn+cBgs;vL?l#_HHq&Nr)mdu*@f@_$cKM;IuN!Lo>
z&~RR4kIm^~oyn_ybS8g!;MAsf`xYO!xLg6DP`dHyD>0Hd&GuEOPPMPkXqW?V
zgcO$b(w9XD(@r^4O4Wn~0b92hV7mrKOGu<-!EM|Q(DJ63eJ
zdlo-gtSvdM%0=N?nUk+f>(cy?;da0JS%6y4<%HDOMfVSvjmE^)xeF8ej1p4&QfZPd
z%^iJb?3|q=4HJ&E68-gCB;BKK*r}Nubx}*rx~%osb%x^UW?+)hsM0=tm*2{4JC;<&
zy6<8t>8IUFr-ZD3dXYkd8)kYpjh<17i`n}?4)t`ffQ@|e;a!%Lz4hZv*pxNB5~dx9
zJ#EQcw_)`W4AUtpa?x&eqr(cf=zpAS&V+;
zfrs@l9)syRIw|)Pwa3~mf3)y0r*(SKG?+NyVU;Af
z@H)$LQG>)on45k_?I-(d2!=_yX?ZdjXZ6w5h@$4VH@&xDyezp8CAiRN
zd0|;<_?J&mpG}Z$M2#^{X>A*ZyL^sr-$hkSyX-ZAQsL_r*#LHM1nF80T&D5ZmN^Xd8Cr8WH3A$v2dcDzZQ~CWpgR{#}j`%*uA*
zSHllU{3c9T?VlA)r3#rYxEW#6WXZItoFJotGcuS&Fye~Gz!ejGmzhZ_y6$7gCtpd&
z^I;!E;md#CLKmIUuCCsq^I@@Yu}o|E*%!}K9aU5PbeU-<{h098nj^&+Ve_CU&2kkn4zS84@2e0b0l*MO7)IC
zwT-W3UFr>rzjk+Di%zR*v@+z*Z`6!-IA@X;=#Ukdeoy~X@((V#%$8pLlvELRQEu-5
z3j2v;ygCW*uX(!M*AxAg-k|?=B9|@eSNG}u*EIcvME_oP*kH+pmkn}uGiXHUn#VTl
z-7;&sGQg?*v+P2#rD{f}*oWpmmme)R?5595EVxrY-Ny8Jh&>1wErQCYJ0=i(^+yMT+%A
z7GA{_Sz=AH5loxBleT`^?ke;z7GPsUeF979FZgo#%sQN$_UcTX+q_(f7Z=rb
z?YIN`FfGfaE>y;|ScA)YGM}O-L#*GgLDhMidt!92ZbF)@jn~@({s{wFt^hH-Ur@O?`szuJ0xQXq5zPbL)5pcDV~DPsukieoZqCIyX_8dGGv#|7~+u)%+
zs%4mWW)?l`#$Zkm(LJ=Ett05eTXvtsC-l-qr#%?@Y{$@JGwd3le&5e|hhNC%B4V=_
zs4BjuCqq_zxjZgn0iucHk&=d2t-D&3W4K
zb4U=uZrPaWp)EjDA&`HS+y0Xz8T72cv_o*bDPzjx^L*!$J0}@+F{PVwTct4_ejqF(
zlw`py5aR~*sJL}rRGH++_iAr-in^7Ro?sls#
ze8tGDQ?R{p~EvFQ%p$*u{$|U*A-*TqE9(hF+`8OMB;X1DzNh~@1q;E0*;8)O=kASFf5uG
z7Wj!Mn&u63q`;S@4ROF9;Z(`z@YPIC>(shBQ>1VPsg##wz
z46T)EE3?0!<>(CelzuFm6spd=DfNu2M9!{`+&$X$wL9r!nkS!~^UhuIdm8cPtav5;
zFr4zujm7ihJdMB11ylKq=l}xx&l&pxF*i4&!+w|wqc~0q&SwncK94Ei48_r7+J3wL
z`6O%(Bt~E!hy-YD;g|sx3Z!|nqSetgrj5V1i|OtY0q
zb2;No{PvZc>4Ud(d-UHWn9`oV+z=NwwtABB?R&icLR9Ah4rNit*pPzwhmtI?l1Q`L
z7`WywB(^5t>SY)#CvYH^z(2GDOF9E*2#m}7P$m*vumCI@3n2K7rABcxPy))l+=1
z2)-tNPQxZed=!3%6k7l7)%KkoZpFCpn4-MhGJUm9#}JRWz(ah}sNn`g9#VJ+Gr^
z>tm?IGb)@v21RfQdU|^73d;k$r1f8NgO50mLQ@IJ9w?rxMjel$9)xPoHQ_QgnNT8(
z*L^BOZlO&ptJB!suh7I~t-Es$O0_By9IJ(14QIEi^W@HeXR!+EUqVsj(P0PLqC+L+
z#3g@N5DaTFWMlSbWIFs1VmoH{rZOrW0h%?MY(klMx?jE6xUru`=^xAOvFCB5AqP7&
zo|ZzjyCG8Y#>u(3w-+j;jzCDbvC(TW3!<*a5s+lGAyR&LrMS3we0o}qjH0$EW+iRA
zMJK(}r|oDCV
zfV8mi+9QQx5T34rSWg7XjbkPt+yfyZuu)q;osgH_N{}y+ou8fVLLfoj_HiTGR
zFZ52Pm%c$mBg{bvyc4QTHfmF*XzHfkjJQV_}=}
zAGZtN&YGnCQr;@9t*t=-(~%>fd~LRSDaPqzh5ZzJ@^G7$#^LXyP~7!*w@o@*zC$mh
z&%%?RlAIcW1=oA~DMm9;1|LO`x=^y#@BbS9r!P~-IV~%@PRJ{CSS`4nf`HlhCq&g8}S%6T*
zG$}ca+vW4o7SEz$`Z~s4a0cMEOj}o$5#M>ohuv2vU;i8tSdy!O6R=rkjot$lq9OWv
z5~P&e`p?g<1@vpM@5r_$CC;DOjtv78rs2H8Tp&bBL;#dq4fT*8e!n~9hZqwH176Sh
zW_;tRk(XMIfBz*yM7$vHY7eYgIn^^i-g*bBp2O$^wSVA1I
zjGPRRm{A)Lr)AsM1@U=ntE+QwmWo7BOpj^rBnTSFG!22Uo@oDSN8X0ioP^djO%1Nj
zZ0=o4%@K|@2UlK~uDt$EqEYgHmT#`4tOF|6Z#g3W&RCprdVr0YesX(DSC`!I+R>2a
z^0!HkRgnIY&57Hh_4Yz&))1{;S~ogt$Zp8X$}cVwpOBR$1=+(U3cte|hc#&P8o-l{
z<|8%1=y+hXMnd=2T1r*}cWz{m`iX;RRC7_Zm8kLY@oFf=FWj51dL&;E)gnMq+cDtR
z-JQP`;bFe3%OJ26{#MDmGQO&OMDKWCnN^Z(9o;_DL*Mq}!|jTgaQnNcOE
zADz4Bq{8CnJM@-2+>7f2$gX}$Z-4!(()E#(b5#N$Az_wm-;E){`JplDl>1`YG?Xb<
zKY?8&BaBkscSqH|P#U6W`S0gpa2&ns;Z31!yFVn^Hy+B#>__&siMv9p@c4Ku;mW7x
z0Y%d|SGszlH;c3?2@|C6mhs!(;p^P5?P09KT^Qh^w986Ejl-K9=sE@RFA&Aj#R0I?
zk!}(Ne_O_*`i$&}4v+l({SDz1K~Q8zsF#3Z{|*-lgPLil4srAPIcG<2ecL?Hxhr7L
z*_dW~4)%9bp>R62EBbH6bb9VSc%2v#*y?anYPG%r=h8NhB^al3MC|+lg)+X4|3X^|
zmc0`RbX4*}{uH$g&ml-)hc;eL&N69*fH1H9`|I=H5SC^wQVC{d*LpTVGn3K1CEcZH
z#mVLm?Qz0pW@gFH~
zjJolJ!JbGl%s<+{TyczSUd0^4^Hw(*m2t0!)+v$D>MQlF-K+M27v?8b+u|HAPAY$n
z6+HVOn*VyUzX?ym=`}~?y;icg%Vxe%Jdfg*ETy|-)
z=+Pmoh6p))lpn%jK%_;jrC_|!@3^D%wd2ydcLguRL~>EIOTqApTf|52PU6Mbc2@cB
z=~~r@rmij0znp&
zEF_vo)+kG-liRFwK)KtSI>WgAsE{7+VIb>XC+WEW*J5M7&U^kY(#_+wei7y0t4?=a
z9R$}m7H-M^w$2}?mi&s~XU;G6CemkXv^?sl?))g-
z>auiSWpr~*?q~X!wF56KvN2-z8dKB^!tRJBlYJyh}xsjyQbeg0iGU#IY1Jp)I(S}bpD?Hh(
zBfLgaw(f4e8zQtbp9Jkz!cMunkcUBcse$zHYriWnQ+k+6T;wa#^s{ie_Z}y;mPJ+<
z20FtI6_&GiC_A~j&d%#|uP;~yaILs~oXxwOV(7BIn{7#oCz<$hi$zR;pSEIPcgBQ^
zGpA95{I#o6EuMa|cg2P*S(J7&ds~HldMF@o;!8YanRdzPukyRE6n&ledc@y<7mJLH
z94gSBybzV2q44~iLb6WR4A+XSzm8PPkiyc4blCe;zpFUyvOo54MgO^R6k|
zL#|&+oWAJ^&lkni8dqf55`Rv^k!Mq`>Y}ph23To=io)B~yAR&{)!=f|HP(|@DIaA0
zaZRLfKK;kh^1u3yxbaP^g1OWMbK0$179F0Ht7VYf&KTmku((Ks;>U+)ntPHy1YLa`
zC5d5XoLKWwFdDVq*6n|8$Cu3krrm);{|wb=IdDnFg_ki{?ErHMJYg{w@DHpTxlq9H
z-}n+XedfPj1U6p_A01e22L%4iM1srK#ygQ8Y|%PkVqc^|%Ogh~5mvDR+2xVPIpE2{
z@Z?n{6(S8RBc(fNA;3>gw=X&@0>3Hr5V+wszED0Vjz#zWV{aZFe0maVvj4{(4%x7d
z|Np(~%)9>M9+>>0hjNdVY5)7?8$Y*6AoJA)d92XD9tq50N`?R4h6!QWJZQ!+E+IsM
zXOR*ZwgqeEhoPjJy5psTz=%V3cnES5OsfC|!eG?QNRxL#E`yDS?p7+(&fsLcgd!0e
zk6L9qSI%d8sB09fN9H;DkTPwX1X7P&kP`|1aY=6DYU8%Gv-<#Bj(u-|uIt-*@Qu5<
zy9e1uF-tE$YQp?FIy;X^^fbvbS>^Wi_1)hG=)&Z$#klZP-DC^u`U(;_{Me0}V(4fg
z2c^%01d;45S#3|x{ditU9*{a~j?+1v!UXD%0O|pxTp4^9h>qL?W-qkbFhc?x*+}-z
zu9&I!=V(|L%nqE5@T+MQX#T%k8Zy2)nCCp%fdE(pGN>BnknH1dJHXo|*Nd_WDxN5T
z4Ban@V09jbUhEBC)ZbCawUC@F>a)k?YH}eS!~gS!2H+43^Oi;CKZaS|0e{GUUK*v&
zU?Z2)JG0=qsJuJmXz1((%fR;gM@iJANMWt3afh`TushOd=VJLN2TFkej#c}8kfBqL
z4)cbFhTBUwq2j$9992Pr00wg>HoiG!TiU2dTc4kw9|pfbW4yvb;`JUkXpwaXXf_J4
z+C0odVIZxE-)elGD_7gv%ZM!ms9EyHbd~oIfcs&^b6Cd~QynKYT>_ZAgsW#t8sv%-siG8w+
zR=Gs~`&e`{y^h+u&9sc
zv=5)xal+hR8XmBGkiIypoppPtBE_gsmXJxKuI=?w#lwz5^
zLtnZTzd;kYKwj^grSz!>G=|HFLd9}7a$dlTB?DkkXqOVPzxJRy)M`5kka&Ep+^TDw
zvFAcNaP95*PU^1!QUuhiXXT}k0PE{A@fp&4f@~EZD1sx3xmY9G&DPADXuY^=6UMEE
zeR-DxwkOzb1o9MY>CYYWQJh1Siqu~(*2Ws6qQEm{SLF%JT?-y4Mn+}ijR9O~sNg-&
z1fR5(pso+lYn%fDK5_cqLmyd*!Fl9lPPGKXNNiJgTMya8UgFJKSWYlCQd
z5m^xR{1ILv-Vbqu=`z}<>t_iAGgmK_(kQ(5h653x-}Rc81yH9|+ZUKK5M=j7@VAgz
z-S4$}Jq&oZu&}_kvI-rSsu8DxK(qjz4A`=7e1#&f1O0YyARhskAZ?QiCzl5vo^8l)
zE)7})QNcPDu^>JUyBx1FEpXWw+#)saUm1r3V$uRUOd7z}kTjJA>h*?u4oveoJ<@{S
zXXD}~*eW53yMPx3^ywCpd+8&fHIcWa&`!gT))_}s;sP_c0mwq4QyCCn=_>UhK;QdfL><+wl
z6adp2WR&=E4+<>#c$UCkVAYajr1MtUhDja-1gI)`t7{S29G0Ar%i*YUO+Yb(8kt(&*w8vmezbd&9p~)uu~3pRFI&kUfQL(#eBKd^uE?~lE@Tv
z%c}24HDC&{oVv=C9RMtTyn0de$EBBctP;jrGHAG4VYui_EL)LW)p%48i+2CUXS8Vz
z?XUw;oo-~ifs|QN*NR(f9Qg$(NORMJm0%UxSj%K*j75%A2nX#LK&Y!=
zvO$9BfDK1&;1H4;8N(n7g%?gxnoB2kn^XqPUQBZ
zS+OeI9OTk7l$>gwfi27ri2H>Pc6_(Wa4WU2(Fx*#2o~&PIJ$y{3*6+Iv^K6m3P;{-
zyh%T#Ds1>DjCrj5z$hDovSZvi#A>n-@+1g*?sn~ey$(9ZD=yzVl6ZaDe^q?O;Eq+
zZpI#|gb(1@J_Q!#9mqs@dlKAb_rSrN1x^*{-E{zR#1uP;J24EWOi(_pt*m}x{9V!S
z$k|J&y07PLV97ZpxzLi+gIWnc-4S;{FT}8HIZ*vTrF{({hyTmV{4~Mz>;g_0!vFnG
b+4fZuUoZ#n;P{9q8V%u`x^mhX(+B?#A5RgI

literal 64978
zcmd431yGdX+c&y&gF&YV3epH79ij-*-7V5B-L0T3(%qe_z|ydkNF&`#Bi#+V=UM%~
z^M3ElnQ!KtIcMhEky+;9dG6=B@B6y1>vzS^&nil9iSViMK_C#3oa}2g5C}661i}E}
zVgpwU+Gq)ZFKjdUx37V3;BzJ26aakTImzm}f7DSdH@wJru$n4v9oV$CaIaPm1;0lu`!UP31N1JPu|nRqrEK2~0lN
zuhQ&$ubo42izzWNiI_v5aLCEZTJG$h8f{*@eJCsIkyR&bXtoovK-;MJ62PU(no~
zethf#vaz+bwy|MzlIfc`T<%1(vb8lIOnrehB-6mg&YqW>iyqk6C`?U5Ly-Q>Mbpqw
zk@U^`YF(`=Bf~!*hP8IftDD*OzX4
zwNuA`^1$d$h^tN40p6aEl-la*oei6rO`3lHllvuqd0;}@Skcy&9b|8BFXrz6
z{C2W2xEe-bWHOM}Nq`qT8P7Y&H`oE)a-9*m~8q5?+TUjw15;+jfWd$Tr7CR$l$?`q^z}rLb
z!!ay=!{JQpcwfTn_`UeiXXTN}$)7D3i)rdg|IW~zA(%Wc(`$ojV>oNLo5EPZ+S+JzJ8jz!+)OF1(O8=XQN@ev~1b~
z?w2C$W@9v*A>{hhbz{KvckY`m=YhTi_7pK6fvoHCB4M#2;BZtA2@?d0?AJ3D-Tr4H
z)%0^%yWunr+26l^i{ffzJ=j!Ac^-B$ERiM8)eveYKme0t$>=)jVSulD^)Lj8*1`Qn
zTsMc-YsQq!ry-_7o7ab(B-QVGV~N3vnW8DyV}X*>N38_ZeH;0mWL$=0>s=d!_uu14?`PVt(dY$$gHeK${
zruZy}(jCak=>0EEHwM$DmcKt#5)1-v-kdL-wRleTJVhaAOy%WO;T+P7=-kmLF*YIt{Uy#x6!mI
zW8Tty9|p32{D}2B*>G#LZ~l*h{+M72bZEPCpRCaD0n|O?B&N4QsIF;ri+?jKK)m|H
z;L1-L$2CC1`nPVC1Fpw1$jg34)9s*-3H7~y9v>eM8W|apw6(Pj;!~@{CZfia6i6#*
zZEc0kuxbM<_x0=7nwlC?L8f(^Rcu^mT6Jx0?f=-qVOvN5I~SM#LH}A|;nUQ#G?dYt
zpr~yB8bBiNx1dE4nCW+}3lc|O4Lds9tzL_|xw)nL9`}L_TnAq$B=eY-4KGkf(0jAK
zg!}THYz}V@zJ%wOmvdas`&}&5^{=kY&Zio(EA13~dO@G47le?3dUM~=vIN68!X@u9i+zsrd+qXh<~iut$~^(^|HD54aAjg3us
z-rLW1XhBcCNXY^)9JhA|0h@q=9vq!N`D<>jBb)bMG;SsOws<*M-O#*6Tkzhg@Y<68
zdu~d&f7zlHSIwD&#gh50M}2mP{^J*4&wWH=jeHEeBluMjue%N1U|&b9r^
zB{V0Q(WqUte+YnuZOy7%Hc|KAAtST#Z3d{z*7~MsvT9YOy7%bkCNW<`og_v5y_+3%
z_X}roJq&0tT%$kycI`1r$hilo@fG8Pe=Ij-sPjITXh6Y}QD_%R_7@x3htpE#rqh?V
z>;LY?|0@kwk#wmb$GLPCR&H}4)8An*QGd`}7o0}g-g`poUg%5cF4XGbf|^2pP-QUy
znAp;7jTpXBo_ND@2Ys}{&+2@-n~;KZUIeZ?5>h#zqHklGcP217fnSk=wfRq8E`hUmV68|
zcB*1L2*qNPonw!{>@M)QHP7Tzt-IU$(G?@8nMA9O@YV@X)i;y18NTV91*G#b2UbgJ
z*Z-b@mqhcmhtBci8Yrxo&g4|%S3J3}2x@NBI>6GgC2LT-&lcTT=A{PyX6hRZuRYvW
zhd8{s!7ZaZ55NDAAR_@a)y4O~aFBYkLLo^EL{~fw0>KOGM1I
z5jijA_Vra6-({by49h6GIrV5~*Eamy77alFu|DzMlCjcDpnZu%(>dL|-OQ_;n1nsN
z2<@&k#2yw)hWny)hb$Aov4%Dkw#FAMD?JoB^q;y
z{EktuV1!vm?B+?5eCtF-gh&8BSRB)lD`>@R+Dlt-f7R)huWA8;fs0
zqNJiW(fUy5lNfQoqxjWfURfg-!tS&KzSQ2d)TO*BQB?8$&H>W7fA}+aZCZo+T;%&s
zvS7F|9LvLqgdOgWJXgRQxE1t8u=Bj1o?M?FTM^vYNORoKhhLKq4yHM}x+Cu{_-rRR
zHU?5UjeOR1IOBjVxPC?vlsI0%iWN768#Nf;zHGVvGAmQdc&c?nxj4cf*aGi&r0rYq
z;FZ|5X(kC0%{e!J(V>nB;~?9%?_NhZ*$sI92tGmcryRzOZbBC|X^yQa^4u*SqX4aN
zY(Bzf$@F|2MZvwlK7dl~MvHjllW&bejD@FTtDkr!=&1p2u
zXUH>)BAG5kjVaTGYWvRX4{ucl1gD;9-z;8Kr4$m8fFYgXa+X;9pUQ8&=
zig*5wAT~Qa9KtD=+3}d(MJ83+tpyH?$;jIZ@PaW4-^}}HANhbSx6i~L41d;(W$2n*
z=zwbZRPYLY=y5aD__LT`be@xqkaaV-H>aRK-Q3D5!p!?L8r@$imVqUZb$?B+(K=u&
zFelP^I!Ym4aUUE~No-TbZed}ep`iis-bcz0m9RcydE`(*^y!_^f<&4hQ?Z1s5u=1A
z|C8bZRyv*+d})U(I9;K4UNjc55!}!{KaHfGvj6sDINbHyV}Kt6!U4?ezmANSLPDec
zzZ{uAL^eNE9mb6HNzG~F!gQDG@bK$Mjp@m%X512!aTxCn>C?7~-_(a*p6d4YdsyF#
z8Fq1@WB!K=ILo~^O9$Z2)C3hHJdu421|cFD#Xr}#jl%Uuvyj%z0D5}gdmn~&{aZa2
z@!)qx1GBX>j@C$~{T&IPMFXt&t;21tnP-w(H
z1hC_Ma&khuynZKh^%lfwd84jJ*YjMi{!mU3S?2WfswEcX
zouRyUry@Rb+d@6Ym-`YAu!G`>f;+|IE)jngmV{?N+KQrDc#=TU5**(99mkraCW{{
zCk}te9b7p{2-pQGBvuGC=LN!jhO_QcEN)79e}sXa0Bi{T5vC2_^Ah(W36ZasuWB>=csX?Y>@`}KX=WF$vy@Lv;OWNT?uO0RqSsc_Y$I7Wo@8&fAVcT#&OB{*%Tl6ER&)Wn
zXQXa!JRd%Gy(NyKdnS^5@fFi-3p#Q4l*hI;To4-L608uAjk;x0v7HHMPzW^}Y6FITay}t8_Tx0RsL~
zSYmM!-?f#XfNZbLgK^E=do%$KrWEGi=#g-MKfenRzh0KQy?FUkO>b0UQ^xN!&*@jr
zVGm2JdE4dS`9d$s4`z}AX+ME|BPp#4Jt|@UGa3T2aTm~|tAoV1(?Q!(qZFoke!!*f0*hILZi_=GkE&Ynke6;Mr6Af1D#0Dw
zJ>=rOn435>5&l~28VpFbfKXxH$}1>V;_W>x1a#H4?`P)_Jap7K4K6NVGF9Ck6qXko
zNV4YG+!S+k{RZ+!M(3_hkywVumu=UVUc>!4dRZ+!J(9F$^2tR46=sq+Zb3+_xwO%m
z2b+9!3S#yMjZ?~?nTxm3zJrf$5iuK^>~r9_9u}snx5JiPV;H_#L}EIdX~;1-Hrb8-
z=0Hz;x#}}7$gz&OM}gSWC}G0Ui?>Rb#&x4@{A9qDu8K7?a_N}h=}ALMn#8wNM#rb;
z6cuz?>7+3Z^L&7#+zy%T`>==`DgU4rTl8}fs|Y`EG1mC~=n=itT{oJx5-FBL1tl3v
zM1JfPG;$8TZXhbQ3J?7{3YVk45Zy=?V?X4)K1Liv=Cq(g=I+g#Ua+YKc|E0pY!+ji
zvFfzn#Pgx$X0e>VS;=#{=cu&gFAHt-GdxXA&3v_ID}sfA9#U0{@f5C6z?DrgAMs*!ea27eT9jS8Y*pty?s!%CLZ2`ohe3eSc>{$2Ls)
z%&?!rl+Pcy3*W;nV^~}0!n<#bcy$wzHGYg2rdSw3L__U-V4rY1yr($tuFY4~JZU5}
zNLnQ5YePoi=Z$`&K+GPF3d9-!_jwjhnVErAB{AKe!@=Q)sU?Qdgus;9i`O4(q9Xzu
z;c$NK{SMfI2x3R%#i;fYLVu~dtwve1loq>5DTKGH-+0^Q4Gp
ztN&`ags--$9o`0)I{MKyuy*;s4$M#4{+rCRROA5A*(;|IsECG2B&|+
zb4Mz8qsCe`z=^Z|G%o05h-R+ES30|v+##bbmxK0BM+%pnVvu7Zt8xGpw69)t)F}rwyo7>D
zw+OVD=N;2Zy)b75*0__Hxrc-7Y+VfWA2wgN(aqDVbj@kF66cL4wSpwXZTnY9Y9uDX
z2=rDjY<|pW$dg(ied40wx2I#1r!qAQBSv=X9**r52eZqB&v1Vx#&!7zG*YL+jdwR?VNQnh~m}H
zzAt&k-XVju8*fBQowD=Sf4hV3W-$d0?Y`Taf_%``*=@ctnK+(5MkU|JFB-68;w{T!
zUmng3Y!@sX*mf}s?(dAugv%-4(Qji!sSXkyjyqceR$54%^PvU{1ED;4&%Wjx|eGXGTh@{Yrj`TKEZ5c6|s@mOGM7^z2D-K+B11
zghHS+f=RT_jlIJh&1P|k6A@x$I15X^Njh0O+0oUX>-$w|R;Wz(bB5)MX%_@mk^L9N
zumUK?3%cOY&<&n@A>jq$->m=TBtJHJc2OsEcuA&D9sv6B_3-E5;cTrW1%VP+j7%-)
zP0jbL!hSO~@q$sF4>F#&(|Lb*rdHZ{_JostAH3cg1i#rjp99|^v){{l8W#xda~LfS
zX8c;E^goT#7Fw$wc3S05Ji1*GUi57G*4C=hU#<@~nN0~;Z)dS-oT^8;l!_JHN6&yr
zJk+$QBNf*D#dT&HYOtb$8K+TB5{?crT)V@bWCjWiW8FMPP7;-yz7f#Bsjb=6q!RGEeh-VY<-o
zb`f%^ynNKOo94p+lJGOZgST#VE7>~HP|pcoh;X}XCipo03Ee;Y{cu)qImfu&akC><
zdyYaGZvC9r
!^K1VXK;kDK?U#gWfoRm@=^J_d%8Su&e$gRv>L*G4<4i75@RvQ8
ziem6~fz1rvM98Yn1S4c_LPgxP-+aqu8ex!pN`^0RZJ9Tqayg=@BK+ed`Pdl(*Hjtr
z6;@2E)t+gc99HV7L)M9OGX#=k;BLWEv_7`cR>|2FF6qsg>FG5#7NNk@pb)z3
zcDSGeTu{sM>Q55|}gjVV5!|?j_w>|e@Y2`o`dfDg&OJRjs0<8^5
z$c&6LdEy`m7=B1yQy#Qpn$bfzi*eqFwoNX5XZ8y!*-J^;tbODCO3b43oz5|CxmSZ<
z{;#Dy)7!Tur)!WC9K}#+hv2D$uyrsjyl&R9ik8GYI&@Dd{3FQ*joB|&K}5e3GQqIN
z;@$G?K`jNR>si#>q~GJQio}>G?dd`2bbK2d>unb+ZY4&X5$YVj+vFV;p2HbbY8KbpO)jx^F;`BF8r|6
zeY?5B`G7of+h(aZt9_-%bkF5ie0#l^Nt?RKan1;>(~C;tX`AMfsNrQ!nx$p#j#3I?
zFqJ4CappoR{h+>(LnrY_BRvA~d46cdUm$)Lw+S=ah3fvH?#1Uo``sOZ#Vp?OJM`^?
z;QEl8`fJ=|C&v6fVMp63Viz#nk3&F-{T&v$_7HUfZS`X(QpJg;0>q7D2u)RJ;s&vq
zOuIIM#(k#f#J#Vnc*+3bc-ZCGd5l)SB=5AG)D-=UxVefNV_V5}F}$ZLqHX@c{Shxi4(>AS$Da8ZbQ0p233~=0sM*$Yz@uT
zL^rg(P(MeCf_{wL#$@#-)j#NVXr0`73QH?yjQVWh17o*Kk8Lu}lV~XlFrvz~0_QQV
z2{I$}NJor+8DBZ;9A!=tFN%t@u3cd0LFahOhmBP9^xj!m+|YRX`H2w`EnIfK#RAaI
z8@7bU(dITb-T@VV>#@YXj^FSH?n|l#0)A<4=Ww?(4c=-h)_g4Dd4^nq1w<@7fDTob
zhf^6_A-7bxp;qjR!xn>tfy?Pt_QD`p<$K}#b&H2(T
z>%V#d7Sb2T)oqYC+Xn}?o`XyyHRy!~c&fxq($}Nj&-sQ!Lq5P9_k*yMrTsWHz`=JU
zAsCjgdbPeN*vKO6T2qM577ofpRyahFWrvqpcjYJODvq{R*?<>^ZJ!PLZtE)_-7wJi
z5$8#Z-vSwMYkeRLz;_x(8EgTvp2JNB$t$O1o|dW6ZRkfl-#^Bt5qze5udMViQW*E5
zG%vbN^NVrW+=H&eOpo47sLXda3SCX!f-9pWXeKxV*Cisp7XdjsUn*Ygq1|kdE(H%|
zHak<#I=O^9J2~Y+^jUw7slDf|Ja>CIk;)>D%`=IXf{K11OSZGESHF_@X5LBerS?%G
z5D*1UMzp3SUKhS3hh-fQMctje7}3h^wr^rGM4#~KoZjN`g=ZS3edroEoM!A%AHhnO
zj+CIOxU{&mx>|&+5M6G0EX()6EYHJ+128LFaLL6Mn!IS8JROc0W+JhEHsv+YFkSEX
zc*Uz(`uiJuy6p$CEEcvhnq(FOZUia>fErBYK_c+NAu-3nI?1Bn1Z0b6Eqkqg)X?OQ
zoR@NutMd(Rwo1iL_R-hdg19J&c^u;_%G>?u^H(aaOy#lo8McG+TagNpQT6v_m$Er-VcJ@M)jd_aH0Vp5=IdgwwR%B_NmEPbDp(MGw53T-H{!?4JO#F`
zy{jV*@Jf3i2#wF??3p3ewKQ&KNeH5A#caC0CzFZ3e)DQ(k!MYi^1_eOl`5YNKh0bN
zQ#E?0`D3l2pQDv^_zWCBss+h%IB9z|XqoqWuD$l6J&0l9Sf>$J+#B2XMu3%l#N7YT
z%hY*`-**dsk|tjqs}T9!yd#3^&3y&RF&uI(08Of8tv()63%)M`D;o~)A(>$eXgJkg
z7pX;#pZ{Lb=`|X;e6M47#KSr#-gd?8bv}GJbPSocBS#!0Ik|I_@t4ZLk}882zmFi1cVw*uc0~t$rPc%Xh%Me1nR6sk)f$r%g<$wIA5Aw}v
z2i|O{aFm8n1N0_C_MgouLKw?iR3vAdSV(ey`%aI~I>%*UzwR#P<6$x>XCrDJA
zONp@yW=y=vl(gyQo#~N!@An&j^5+Rx!*XI}p781|r>KbI4fTqiqZV
z4Dg_H>T)u=vhGe)F6oyUjPpy%U4Pmysju4Ky1T6h-l^Z72NCjtl~rqcwO^`Y;xHty
zv?GO+mFXvN%Cu4M;{)D@MX5nVamOus`|xsA3}SkB(}V3ua^s8bE}kfUhxT0CUU8)U
zL8^X^=W95t@0up&dXMy0M9voX$T9T@_7<;-H|R?i(0c=axyQ5@#TLP(;(w@mHTbs0
zyyNl{O(lC_CB2c?i^AF`A38!mZI^z^4U4`7@+fLkxq{IP+)$hfz1q@|XQ%8yUOhgk
z?m$OfUteBb9iCEl{Hydn-QwaTw!Co=QSIJNdU=ThlDw7uO;A`)%$wMq>Rw)gosMh$
zc`1XF9ms~e)g^n^!G^j98WT8_ZYXqxSllw2n_!1~?Sh?zgFkHdV@t8P&{Gi*|?D%O`c!tF4EFNJal>0ql7adFnWG5Z9O32-fb9N#>vV
z#$r6>oeC@`xdMAtzHTb&ZS<#VW&>~KV?Acr^hCvq+jb#qh*9=ey($)~$9)#Q6k#Tk4s4@13=A#3+J5{V#{-5U1xg!O=?jIDhdLf)NXa#x%
z9q>GlqS7$*@O@7rF^nX0AyS*pw#PI&@g?sZSZU5LUe71`O62#wji{Z_iKEqsZ+@hw
zAud|n28_^tQU7Ae--^hWo&v{inezILjw@`{Ak|GMCu}Z4SKSLNI?e_dFWrIbhVe6V4yy
zF=Lrt)uF7Oo2=zT9VibSP%Nh82|FD{fIw795LQyVKM?BTt1Xj~b+#GdAUz0f_ls28
z98Sz}GB8>E@%rjqE-J2T596vj2m)qr&z~r_t9!r}`IeKbq+k@k0X2@r{{_^qL0a%p
zRA67206C@LL6qNa=2sSsI-PDV{iNF_PNyF_hJ
zqJvXp)E%gYfvPi8Tg_uBJh0!%UcNfK)I2#(jBI2y#C&)j>=zx{dvl?1gtJs9vDbK6
z{X6&VQW*S9AqyqIaVH>vUgG`6a1Id7BEH_3#+{A;!O1=@IN*B!U&+{dM+i$n?V@m>
z5Vj>gBU9`{oVtkln3aws!AGiwsM4|e*sWM`v3N(!Q4HRCUu8)K6|~2CrvUZ9_dkCd
zjo{H@X^8s=`i+21&!i8}IY-WeGOVM*+ml_h&Ag?avnPkIWlX$$Xqn@M5g)pz_IIgK
zmDJZZ_u>z5XflbT7`$HlpKRIp2jG|O?_KKbP%
zBPA6ofG#;qM}KNxW@dFsGd>uy@kEk5vPY_$k!K|eMv-k#_oX6qrJeBCmKf)YhVGt<
z5h#6RsX&|GnI9cRxbSgW+R`sR#tD+X1652*e;OIZz=oHSW8s5fZH>+^00@=P`?QOa
zd;M|bs-P2`Axx*%Ml(nKk2a8Aea6j=lMRI?0x3Ln%lM|G9U11IqTjj7E3nRbdD+qT
zb0b6DKIpxK-Ljj^tkN-XXAtJK5x<#m>MLGDWD?Bt+RTouCFjCkse4JHS!i`!zpyVe
z(fq?-54y1(c)a1C8^f0`J6b|C|E-N+}4_~_+pXvlt&
zX}6S6KqFi9*gZ|BH{znAkiU8zaY-wd*2JsQIMpRvc>~%JeToz2mjco-
z4BXdJ7|wCpQ_*T@6cm!eCI$PGFp6^4H8Y~i%xC!elCD@`jLvoqUikjawHl%%Wd}pQ>l)hgiQy
zS(tcbpk2XUdNvi;VC~Rv5RE|n!edK{2O*+z!BHMS``1WOkw_OwU(u_mEnZ!T9FQ;|
zFh%{fr|vWyNf?l3${)A@1(q`fYKn6)E63+qiA25MX|Np7$B=JS8jNq0J#NRQ7&Y<1
z3$sTu&sHyj`94Uk$5hCxqu$;K7|t5b&nBlqhZ{_$%TMC6pL0Cdqsg;~?hx9B%c1-UHZD|3|sRaQ}1j?&E6j--W>xh$;zpd`2Yzd=!ffwzXngooS
zFaGl&ufTpFhRzfo6}uXqflh|ACc%IbR1E=SLT0fQh0*%n!i+0}66;<{B+{c#WCgYJ
z;m4(+PGiX?U^tktbA1;D)upcS#K4;t!R!j>0@J&@51K9m9xP9L
zzUYcSDQ-(Jr+E7FJ^DeJAAElW&0l+5BZE?1^wK!^Itm-C^yRZ{+`-6hDn;-$!F|gq
zOqr+L(PVF)^zxP*XD_OCx+@dg=w(qpcsYT2MqwGpJvlxi7Bc&IE|v1Zsex57(KgpR
z7G!U%A;V!uOa0SL_hJI83$ytMz2-?>f??LJ9!(uqb30ne
z55ouMxyPm1&{?fJUZG+yFBgS$Uj|SYbKB5s<~9-Q49c!_y7_2X_x$~pF$1u)=HyqU9+Ll!H4BCDWNN>-73(-k8r|Mm{p7=B2%%EhDd
zCZd(XL6Qn2)$OX)^jTC4@ola?N~NxuJka9!vn$#NCKqcg06<_t(m9rd2|oO*7ydxx
zl#f>C#arISC*-gvVbW`OHH@mT#^QJX{mVX3d#ys!t^~d*{cHUtfQ`0>+4zc!LJP=k
zj0cTT;ZLlFEO{U^kpl1gPWL2#WqH_82kPoL14=xeH!;-lbI-b^kK-bNi_B!HfDgye
z>djpK-krc>rS`Xu7@Pl!4b@-=b>`)td<7-y3m?g|*plMQSq7Va7xAUd6~B(W{Q1E1
zR#m5!w6EV3?6;InB3+pOZymO|umAMW$;oXm1_ca+6%0$Mb819~e#Ysj>>(Gf=J~p_
z%v}c~Ady-qJ)i3fhs9Gl{SxA_TARH1HiLzYd|2Mrv{Rqc)Y+x%;1?iP(MsQnRP=W8Jqmx)7MSD^4kgYs0!jn%+^-tTcc4!bSS~#N03Hnr
z)1HTOg&>>m*^s-_$3-svL{=_c=0!Exv9|~|uu&#)DSwf3oR;9l&bGQyj}7@@-^-g4
zier(d0fT%m3}hj^htu_jtTUG8T~WyOT<(u4)qw6^>6R5}A_VcOCcHMm@1|ibn>CJh
zOp9UM*k;YBcY#RGU#zf!w^*W&EzUf$sr6hSG7@7yB4*QBALfQ}kELy=YbMa6a0HO~MoZ6>If6(twf%9o`$f3_um4w@14Op5d>EYAG
zd-dk8U_e!e0SHZ0osZLOp!<7k?xSc^Na#y1p<*{<>Y}3GQt;o5g-|gZAGQAh>$fenL@}!d_HRAM-X#az
zr}Z?18;lh;kRzO&H@maG^0wWurGF$Kq;5)}li^uj<=K$cIif5NXlQZL5+|0S!+-J+
z`r}U2YyT&ZMFP!GwjS0J?Y6-m$q;+Uy+j?)jFX2U<6!>D8t^UP!*G$wSf}kre%y=1
zH0Z7Kc9juDj=K&1^5N~oEFJX5;VoQY8AID?SkHmF&*7+F(03ZMja!c0IcwBVb6f~
z_iH-mL=?H9&<7a><)@dJr`up2=5u4=3vF5(5WJ%K2nx4L;xY%bS
z;XHS}LpSI`;~$Arx4jW48_@XoZkf=%j=Rid^^>@_b#EY@-7zn$AM1n||rDb53
zOtGtvXFY_)Z`6C|LQx)n77AF7>u=6)rFwrsroX?Hn)!3PF-F&vf%Zf?ZgrF@`I`G`
zxTxxSgd*Gb^%O7f;aODQv~w=^`rlV>6k(Sz$XS>q^*>7BS;}(}-Ssv-Sc@+kWfRe4*Geh3bC^{Bl>L6m1-upX5#uw~);7|t1i^x8nP+mHBY
z!~JpJ$w)an=kO_Li9aaxBP#T#+J-y8_sYyj2`gDYe(;lz4|c|>`@6kr9w@gw8q~Qc
z_od;gBDC9Ju{Hp94o|Z$5Jwk$-=C}x$KQ_b3)Bw82!GO(kKs|ywqrGFji>P?02zR6
zep+7f8!g0m5{kJNPrT!p6xcCtY#V1@iV@{Hm+-WwoXwbKeDc?iHI~RFk&=2GXC*betoGQW%PAW_<
zq};FAKl7?u!x)}R8r-B?HNM7dnFP%&G1+Z0W#xr1ITt*eLR
zBFKkGF8Xsvs+kl8R^nHgc%Yesm1L)iQz^Rl^@7~tRe8@`rO
zM86|OXI+e;jOFxx!CP2-8fSV}fS!3z6~;vO0OPeP%*8#Yv*O1L&`zD-7L$Aq3yjHZ
zs$wN>(80*umHeH*wrPCo{l-kecE?=m?mmn0$c&Yoq)5QavwVCuzs%kI7NJo|ij8L|KCAIhnD
z_7)_E@p|l?ju6SVamW*1!bN&$7O^x7nLrgZDd(&z#t=>1MrK|>Nq-)NzYWa3pD8ymrkdDo@^_3dgi9T%Er
zXOS)jO0?SxA)YOrWbgZ=XY;HVkeco6<+mf(<2Q8`Agx>M#9Pd#2!b!-tsbs@bsKBH
zSJP%xva&=`&}=K@SPc}pnp{@Z3aHj5PhG8>XoSbz^;x>xq^|xv0-#
z`MFw7)kYbTA1=<$_BDH*0IV4WKnt#u(s0u&S%OE8h(uVr>3TQ
z9=7B7?0Ups2Tuh2O=?A2n*0`9-h-CgGL)Rmf`gD~^w{WAZkSe$c|hZQVd6X{4f@J;
z)OVkV3fqR?TO?-PYIfv?-!HUL9O
zl~h$t?byf^cWJ-rVA1a5(Eo-P2gw>!mY@sNcWg-r4-d2l=lh#&4R@MTEGiyvi1TtZ
zQ6RjZHs50CxHIf^XCcvAap%#P3FD*EvadXX(K_bo`{z5=?(P>EuRb
z#EejMAA#=f?sShuuh%(qqwZ!|ezSFYUsjW6XJ;=Q0=7$v1h3ZOUfLq3&B5z4mRV2s
zO>9Sc<5*5UEBgjRp#u9Y9w5KjaVTea?QlfI%ktpay2fZ-mxs;n81HFB1gEh@K?ZM=
z!t$ZrlG8)&pmIMhQK&?+JNd4s&J=Gq)#Yq0j}?e3^lyUBar-y=2;Z=1=k3)=!{tiU
zGtPx;GRx|jT^}UZvu9oh@Xl}|^X^EpwC+lymejt!KBXw7qD*hLt&gcq`;E5MX0hYO
zwJ%;lh3Z^WC*Az*7T_k{O-^9fe(rN_Cw^9<>^7@qZN23~paggBp%aVE(vaO!lTBdmu`hjZwb`@SC=wA)
z|L0bPzy8FW?%Dq1A_QAPc*s!LNdN}RU~p#};aen5x|_)Dlo(`nKWs?luRMi4=a`Ml
z;WSouc5As&T-)Ey0Ub_xVM`7&zU-h75D~EGBSjemu7!-e>n<)6hXujMoz!?>)Yv5#O^F}^P?tL#?aQuVo
z3P#!v@yp)eHeDvmGa0Fm26xY#-EmdOpUa=RtloG>Av!yD
z%b)LnxNf}Ac;EsnZ3whw+aTws2qq0A=Q03Hg=hyBg#j#vQNOMDjX>IZBzvU^z~f4H
z>cCS-d2SJv4Dc#={H{L&JmbNo_K=XmbbvNEBz9p?*@o~2)_JVLY~t<$J`7kGVNv%E
zJQk;=prM^Vm9eq0gN4`6X55jaMxfcVkJ)i6()x5=6+-T<(ZmFjs(A0CgEqKi@LDL+
zf}M-jrmFx8hhLccID%8zN0syqR&T|BSce3XoSd8n{#WZ?7$h?Dz~bIz4*?sfTm9i^
zfN$987h?p9>gZ0buc6WP>l>4+O~B7DRP!$VoC9eu!F)r4Oq(YK`#SdpsXs_}5bJ|F
zqh4NJXjlo-8NExM5d0V*OGi{S4kUh`E+F75edlHh=?lm6Ltm)y-mLE-E0K~%#Vc_!
zhM#0yWxUXIUYhfg1sDr(l22)ICz0673j38G+*AT|6QAG!Hy5eRVVzMV
zL=*kthPcolHs?OMy2kg{Bf~mP>SeA|e*n!iZ#J`5G5BP)ODr~4WT;{OU%db-e|Fyf
zIwSK`e9a`of)nPeLb%J#e8HM=JA3b?Tg{0y4qM!&=i3y>ra}#4Lq)xi$>t)AWbrpd
zDO}R=ag&R)nS#x9ayH_J?JJ`y^sKz@-YK>j7!A8YesF?N>Aow;<*!!ypXKdV_3|mf?>&|oLk2c=_n#rEDlzklf
z)Z3byHkTndcq->(O4_OxZX5YP=lC^&z|Bios+W@qQ#|>rIOad1l-Gv1-~EEy;r!5+w$3di=V%Ic|FGe(Xc2x8+J+T_K1zGRO*_n
zL%UW9RH0u-9H{TmP%!)b$F=Cy)m3@`;tC{svs+zbJ5{M?r+d6PWgJjo+~z;;bI{_Z
zMe+ggX3cl!bAa!Rt*PP9nv5i-f-*&=$TGz&eqnw%5w{{il1dHfw?^^&O*9Zkn(#kuxKeHx7eKMu`MY>KL(B<
zvayzSmsjqb4qbogVics@qsIEpA|2%%*m3gbBdmkPR5M{=+-1}h4)A<1C=Y|bs(Z8h
zih$W?_)f%=`HHT;6VWU|iF7#(47$pyQ_TeAof#QJ@4XstSy_RlK6ziO*Uv)4-!;vz
z7>5~yOYPqe5u}Z_Ns8QI?00Z2GCMBvI9QwqxZa_~N&yvUalKs?b&L4*k=p%@iq4O5
z!C~j-Ia8!o0V2$X*_pR!pBO-cWLnO8-jeYb-a84QHDR9!7+s$0RN|Z*!W0nieQ^R5
zUGDT_ms3;h`-95YAzswJ=fy{aJ7LP2$_NdO7_6lEnEpvR8}(XauNlANqFm%n$tRqw
zp(A=`KxkaXP^(iLF^oTe)jsj$-~`%x<5(V2QEfTzxEW4)U2hfX{&}>#O#sJOIYdfmm4;=(Uc<{@sq_9BMnx*hnaqp^s
z`zzPI+@q4QzWWyHN1_u)CCRs2i!CA~Vy7xC%mIBrH3SH(0LK5>XwkhOC4!*ymy&Rg
zoQ2vLLBev3M;ni=j%fK?IyK>&uUBf?Gm|FFD29VN>GAcsk*`{Y;o39PEj>3J*$k~X
z6S@P9#KwMADje#-QULG$ZFOZqbD1jav;>k*D4*xO(B}x
zc4XeY!*BASvD0LJ&Ghj113lyY#?~TJo2`kod7$fFr%`^&bfV5_e{TZ3H}^-sZAV~Q
z&U#a5xy8Q8anF9Ppk6xZKT}l2Pi`^)Xy~E;_Lrd;W592I)cW7F7&0n(3Qvz_Un;XM
zpkX@i=a>{Z9^HuTHXG&EXZU)xg)I(Sw`Lya$EW-q2UqLne2*Q@=nbH1BC+&`S{Xy2
zcS=edJ5_C!M@O@%&n@uP3l)y2$4br5Y;ZY><%ggE{2U=_xHA{5hrr`1AuQW;oI
zM>n=mzU({uZYP5WnE&FMG*UVx!
zL`!69x^0iJ{TO4h_)m53oxOV?`D&bL0k8icqO(l2hmf-fHLWgrV#@U%{B7S+!cX)yOKGk19MS#PI`b4g+;P){4lRlm
zE$l;J=Gwdg&;!%~x%Yn&^_5{&bzRqVr=&E9fOL0*f=G9_fOK~^NU3y#bR*qe(%pGL
zx;b=w`{@0=AJ=vMvRBMCbIdWt-D!|1C=Vvv$tg^t9dsSI%RKY{Jn??r>_n_Ok$!=KX%A{49@B_T!LxFXxsx2m1o*t&%Rew-d4wGiDqSZl
ziF33qX*?Qwczm5?JK4`RhqdQJ%qWQD#{woHSR`6nLtQubjPclw*Q~h9`td-Vo#&D5H&n*BO@Jw
z@K&E_8n?idFDi?XNu0?cKcr~ngEHZd>6{sIx+`<#$M!d>J00&s2o?HrEyYy`TMj@@
z{Lv=jvt~cOu*pT6P~qxpR5Q)o3p94|_FD>~D|}VuJ%`q=l}Z1df|S3zTJ7`A!R}jm
zd^1PgzS&CRZ>taIF8Ot5RowM7s`@|aNg{V+vBq225>?87RVufL@9?SlU_5fU=3izK
zF|Fj{7FwbB2{fNyW*67O8glzO8AV#!68>DCDNwOWqyteDuJR(x=nuZ<)u0bJK
zNx-nW}!5N|avkD7{#N?J~CCsD`NXqKME
zMIbO9cni5?ckEvgIyY_9!-%~I#QvD|EzFCF=-4<0jGISN2-aB8?0LMqY9x#~3GRM_
zMFxwUq4zO+)wbS)MHog(Lu?WosjmBg()Iodsn0Z!dx&O<`hjPFj2K7UI;xwe{lAx%
z{e=iv{!Wa*$p)akXlQA}Xyj7equh8&1i>>Z3)b8fO@D}}sABAdl>v;Zb=iX>oPg_*
z;Xn*&>*bh0y5~VLz&C^0+uJ*1F(O~6;*rGKvKljL)?<4kJbkik*Rk{c6LU^g)dlgB
z&2oLU%`&&X4_FN#?-(x3^3~pFL*z(-rk3=Xq!@8`b$F{Je4}`UtOjT}s90Dq|N2HBp2{_=1A#zl){`c#1G0%IQh|Eyi^3AS_Pfw;
zZ=|-a=3ng~{MA58NBalWY&MkIc=LDYB_z@p332;uO78q4)
z?oAhBe#K`pzS^6F61?3A`oC=quHY)4!2akm!=*JqFAr<1IFy&xff*(XgvZ%vu`;~t
zu{Y$Kb4v$RT-J+6z6-NGdcM2b3$@DTOfCGkSaTBt>^|@tL$p~}njJ{GAm5DuL@15#W!a)e4C_z?
z!TH)DNVaS~lwdw-FVc(W5^qL&WY0Au8>wbr=AqF18;Sm`1kf+HCKTa@Jxo~g;3_}M
z;yPk@L|+x+uzb8)>2lwP>$g=`OuVW&$+h^Xe>f
z@UhXj1)O(VWOu$F_8B?(pTnfvu;Pen*9OM-@bG}dJU~jN{Ba>iB22T*lgr+_DOn&^
z@Iv}d_B9@NTDcgGDBeI$a}8mmt01cDFF4t71l+k1H9~${R!sp_`9bTa8Lx}Nk;&*P
zllH@Avp}&}QB$e$^HgMI+n@y%`t^3#_J?hS_hUkekBkFJnRl8_gVpFHC`0f3VTUP(
zv*+Y}IHd0I$#FndN;Lmo+JQo)ew(zkG}OjUl0k*@5hzxKxx*L8TQs-5r1Lp>%RJ8@
z+6lO-rB6;1euR+@7tQO5shsI?QxC7>46z*-O^Y!6$nV=?7TP$Sy?i;*`ulEKALc7V
z)~S%AHOzxHxLU3GlxTemletn$#N};8n%()6SJ=#`=s)M~3|4L$l5d3q-X7-fhWGO>
zZQghD`APZ*uKPcx_ZcgXO{z8BPup%5YRoZ#1LP&aNSCK=uK0P#4=|FIf_WLP4@U!F
z5e3PtfJprg3}}TqZ*Te}`3(Nq12#Aq;OepcBiVCUC4_|C$m7))#D;M(%9%sgPP^Y_
zNo3t@&ahB|jlvIfpPs$c#gt+^{jS$%O&A>S8-q(I+RUD25(c@k)}@%Zso^SGH4k3?
zdWzwlu6=kK@dht|I)VbIwP0VruE3-Q__kV>A4r8f<68yi!{RW7Z~c*RXeR1ybO61?
znj)LV%M
zvwq?jv-W-&MOpsc5Ti&u9PDSNl5uCycxp^H2qyD8MUy^B{Mz>WIA3W|=IMPrAwlvq
z%IsX;myrJ1+6-ir>6*xKjROU@c*1@Qvk;ecdN#%Uq2W{K*=&~Cm@
zs5OKQKktducyGQ$*hDQOYdjiDZMyBrYH03aTChcgvgMzTqL~Dr6?`5}ygHnZ1*q6K
zfRt)~EcrO#SYU`cJ99ogw7iHk8b6VI?YmsJ*48Fc5P5Pg?_X$tIzRrp3oyFL@vN#c
zeVBK#Z3C-U9s{<7x&78y_~D2{-|Lu*x#Q6hATHA_t%k>eI1Nzj10WS2QWZMM5}(kE
z34gmyt|!LTrGdAq4tiE|3VN24_+;s*OoFWnoN1c@h(=Sq&0KZ+!<9!^ZL^2QrF4x=q%-gxLDYJ9AFpbHOI|B7w}^D)R0
z*ooCNeC9pAtp|xbIc$cP#JCtMc)iN`^$Kh8Gj006Fj`5)Jj=)R4m|l&Dv97z`=3-R
z!8KY&#xidjc{4K_iBPmI%evezL^MAlf`j28Iay%cK!{pAdn+y>;Q=_J&>HC3!^|yF
z;o(S}ay{1E({)xF?Jv(>%&lkQo>zODb>;Oo%NJ{2rwK2QK$YuTYHDPkvDh>xr`#J(
z&UlDNb8|X=wLi`0er8zSPfkY-+>pPeN0V_jLJ-YdMP;}x7EvYH`e}M9*d!vfdV0p#
zOD;sQZ$}HAat2MJzl(Id(@!|iYd!d#N{(7-DA~V28>_uqyBw0n?>wjaO`GBT>UgQ{
z(zC-n(K~###lqdvi2t&
zEk+;yxs&3z1=doP?9+t`Jgo|nl5mG}vAdXJ(EC!lO3cAC&Gd
zRKKC5qy+xoQoYSE-)?%((PE8OljB=}ys^=MOhRJXS+DLQP0``1D0Z2I%Tc`)uXGkg
zR9{~|-z6zpNeg=~lHD($mM5oH#%M1YpVg8+ulZxaDU15yX)HZBJk|$UY7Id!9Zy*y
zEMi>LJ>kB$pZu@$_@0Wv5gVd;L~(-CxPo4r1*=&zxVowL9(W
z-WjHT+=MUER@AO5s{Hnye@i1j_0FSOxw}4Q0Mm@U+B4
zgO8v%ot!uusrFs*S0mXk>6p`v3Zimp+!MK(}6xCY%~Nz%S7ZJ126wG}mr}?nVqNt%LkFa=6ol
z_VEe!s!^WFcbdHF40fRzAH|WPBE^dM7QaCv41EB1^(_=GBh
zQMyWNBH-=p1m0G7y$Wrm@A5W~D6$Rrk4WGE;4%^G2Y$B(@hZgFf|-P^(j20CpzTD^
zVs%kVeFIxfD(-)z?4MokvO4m5--?a)GyJy|mybXW3|mx&!|0`@BBR6k;e5ILID3{0
z%Plob;Gk-Qt%|`qxBkS%LI5qdb#`$w$CL;6)Zd_NqV}!x2_}A>T%q97HSsnbP3_V9
zsu$Wl)^;Fx}AIC1?4>dt3$5+4Bi{0QCt_fbix!pe~=AR;>e+=DSmV
zShhcCE`3n|wf4`=1W6Be9_kOsEwC+1wEj>FVvhZa|
zz>mXFT1l}sPqYIu4u+w*)ucKvfO!_2C~A>|8?v?a-YgGcy+XlgNqcCS^rcH~oB81R
zfHQ%YSOJ|^*z@c3&1jf}9$wf5%Y*3?4X|MY&-m-VZ_3(bs@TyQvlqiY*cpOqe@Q29F+$MJhKL@3QJgs|%
ze|A0kqtR@$j1IPX-LrTU$EtStmQ`)$Va2{HXg)|k*=|L#@qM{OSU0RQ{o^XsHbd)&
zACDT<2IJBiNXi0tR_75YV*TR@W^BSDCH48ZKhHd&vsH~!tEpDiO-b_JJ)(!cYyXhY
zUvcK8&Q};Pb!jW|#a~-T9BESu;_5-Mnvao8O-;oc&v(ez-OzE@3Hr~wdodq9S3=zQ
z5C%%G%o{=l#(s}*neNiwLk!-lw`EO4+`6bbC(chTzA&cVJN)|nB$#hlG!6^j+gZ%6
zdyQ0+wnzJb@cS?Y{-+r*A({c|7GQ;oH@U>@uFgoXtD*Pax4`w=wz8-5rbLUogx?dM
zTYwH1nQgdjMEUsI{GGK2)Uz+13_JZmf>~#~hS6?NMI$??P`n{v?IHXNx&(Ru8L?*q
zkyt{%Y6-8N^goY)@*sfPKNtzB#qIR^ov@wXPF7kLOe&_|Xt{i)ug(}f_(1?Qrx5|{
zLA5MalVe#usYh9VdY*ODim+JPwoYr#mDlF_xU0yqa!wzW1@lc!y)L=O@b)w7HB(hT
zLsVhHQsZ!~6+@xMKaWasBaR3VOQ;&HoY0T(YM*{e_DY2Lb&at^pAs*^EVV4=lw5@?
zNOXSN*YQqab`$T?r&|E=(J*53k7s+U%TM}B8)VNte>=^-gEzb@lnj0cH`Y!z){1a#
z6L5r9)i2s&i$w%^63XxX`_+NqiM5K2E?e|1zWoAb0*1<=OyW|$O_9kceUBz}R%Xj&Z-b~Bt9~J1dl{RQ@ZX?Q!NDr0p)|)U4aAFhk(foXe62N})@nKG^Rn6T
zhZJ5y@n!*h2&vA9#-#%U$CbWmJa2{j872)oC8};Q23L3atgnzb+}0}^86y6tN^u}g
z3=|}T1~{3Tzf2?Mc}LNFY(<`(K5`%F!KLVQ>Tk=S)e)fyRfb$~DZ0arD8;$6_ZDo_
zO*m}v#T6$8buW>Nr
zdb`?qv>H!-+b694{Ff8O%GHO&o=}GDDee!)4f|Z}IPix;y^^A7`vXaS$M*8}P^?nT-|dC$oNdqz
zQW3F{v6i82EwJ_7NdKo@nWP~f!zL#F^e{m2U_N+H7U>#j3+qJHn~o3x>Pp{;Tz%#%
z^XYQZk>c*W;ps_k(B)83eY=hnEZXmVGcd}Oy@-YcrmWt^JP$G&*Qwa;2?ye1v3`d-
zyjK{=?FqL3B|^kV>G^xT{5s|*dd{?THA#3}T8neSu&@3;*GX9{p5HEFhPIrSnhF6$*cEV}qW9xEh*73>V;O!4
zY5q8G=0vApB-1v4epur;$=%s8R9~3W`xnLb)0DGDKRl;SLcab`bp0Lb;;*w>#5u7-
z{lRslQh#IdhtSvTbsNL;YW>(c*xHn%=1jFMA@$kkovJN(4WQ1rCqMCpos%tD?uYlg
z1;>rJu*Hv1qy1u2`E}%_|AdE@-Yts_Mh^>vkK*qYI==q|N~V3e$PpvGE(^-bIl;`r
z{k#%9trvx%wX7FXP`l=n`adkdr(c^5bm50PGJhHc1PXni1q@u)eb+EFdGJ06BV~M$
zu(Bhz5P}kr>Y2LPJXJGn5G#7UbQ46WAyzoe5Z1BxxuJp`gqu|3QcpDSxG};O6)~oA
zSULEGgoE`%Ig@yFjeBziYn5?}wjX8xbT6kc3LVJ4CB?;X14=InT
zul4uA5lfeb8n<4|L+XbLJ9eys;>GWnn7eqTcRUmYSu93ZtV^|iJgf3W8E7=?ou6ub
z)_o7(|CE4V3f4%sBf%*+%X&-K_JJ#e6z^(^s)rCN5;fWc_c_z1e5n*nD+x7?G-fKp
z8pDSLIaUf4<8+gvyqN*_H+P7eH!tG-S+lWy*TEHTLHXSe`$yoaORiI!1NqxKZ0S9;
za+S6LSHV%2$#g|!q|Ld5;qCwIysd>HO1HHP>zFo*n8A!#g>Hmt7F^n1Xir&E+vMO|xbQo-5T&}7_-0*k#WktfL^bJb
zE@Tw2t&2sz9cV-w
zow6TnR;pB_q!V4yGjP)kl<(tf(56Jr+I;?56?t6kIDN_Ezn2=%jxy#BQx%{pRll_eMzeaHY{KF#m!Z5itc4lwu`d(Z(Y3yeAB)hQ@M}+-l7gzw-tTjiD)QBt#)50dXHTYG%ItjN7telpme~fa%uYC~
zj^6)MYE;SaCd_aDcOO`&$YHKMx=E2S3o8SsFG_94k3sgPZ>S$tB%8HZ7K9a^o~u{&
zUg}$5Vwi(+CDuSVDmlv`2ge%mDSvdlhoC`(|D6ga5!S2V#dt#!CyMWH4aGUBJX(Cd
zim2xl$X`%|TUWS>d~ym0cqfH8i9E+b2VFBkX>LJInW1s4>-`!uy#uQCW))f@|NJ4i
zme7iwH(dTiF_3x}_GE@|zd(!uCUVfUS?9P)Ys1eF(SudPk~q@{=|JDgfM=YeN912O
z&2#76$50vL!Sd#F-iL1fiF$?)j$n7Iu+*Eke-Br30%gjRzl-4}tz6U{|J*0y`
z!ZwxRe5w}KSrC;9af@4yY?jCo-Su}#(Z}WAA`N?}Jz0S}F9F6pA@Mz1*@w>IhiXsB
z?{Jk_{C}`0o*JlSIc+B0C@wj!t>ET*KKP;iw}l|X6=fl$Fp{{xrs5+DS4;$Q$Pwr5
zALhX&l{?L6%7q(Z=RM3MVQ6eQdh%F)V&UiaHjJCqShJ*CrHo0D8eDCuc)jjs8$ojV$Y6Jy>Fsjb2cr`S&HVqOt{HZVIk^Zi&xQ^!R)2
zl@V$BQz-ko*qOSh$~i2!2qWR_!M1F>Lnu^|(|@^xdq`M*DLM
z8Lb=iKcx#6U$9q1j$lt5d(XogiiO_a9{%QYYhH7!I8!WIG7TIy7wwpYBmw2AUBkwR
z4URYZ#v6X5=qUTPydCMqGtp+Z5l4~B-7bfCI@p7O4hV{Wl{&TsW#9<8ou|Tc{9+CM
zoVVH?_b6PF5b`LR<%V-R$2hyQ86G7dG32+hHp5G!FZW&L
z8_w!1#MorW=CYv$8sc5hRRrRa97wU3r|!h5)PBKdu~8;{t>?4y`3vhjrZw&^G;ic1
zDnUw+GFdK7AY0O_|J_me!dIWK^BEOd5;T}~_*_4%%&SD5Zdn%Ep?|0D-$o0_#BnG6YjdW3NU3@7+qvez!aS<{(3CGZTZ+mzHCQ
zw-D=(51q)2#RVmck|w5R$`WEg9+0uF*8a3$yU+qR=Lh$bEG$`lZMhmxLP@xnro^WG
zP4JoRIAvdk&u`FY0#abbREqE*>bt+%EA|6$3WIPKi72miX17$rW{%xaV!AOgyPnk&
z?8fzwQcgv;n6S8{%bE0m{7BCjxzGT~GCZnn$mJS*33XDsye9Z9;|nf^t0q~mHO11X#TBNlmJmHt|^KDH3RRrS1?y}O2
zWuBRS%HX03uQ1K^ErAd7lhP2?r=+8er624!h(P`mTtoJDIW*z&{ITcjzDHkRWldmjn6%_4j-2P<&E;Cs{db!T(i)&2h8>m&sRFV#
z7=2uB&E41Asawkk36)7l{U-Cr`Ib-btX0g{FN=*vhRd_m4s5?q^Ll-;xoaLU!LbX-
zF+bhxbK5<;{I!#3Zi=-`9Xfq~z0+S>VXF8-Px~gp=2mrHz2q^|24%cuI%gr{{PcBU
zcQRDM0lc?*QFE0{zk8u8pNNe0}_ngsot#0J%heE?dAR^zSD!*P4g=ERLSh}Q~rkEh2y
zUw*(T8?*@AG)VzB29y<=GqK{+^@=r^8|uP4ihwGPH{)yv6F#a%IHSJsIDa~hlOI#g
zWa{dT^-4kG%zKDw5gX2f-vtZ{kP@=ULzycc;J3D~l6lM)pj0u9
z94_y=N@nTcgoxg}hDvNET9FhuVJ_$YEvZRl?$TMapi0fB&z&-GvQ|rr@v-kR(Mz7R
z;K>c2=@ky|X&J|%gX!PP#q83C)2w=%stv9|_&gHsA?W_%
zRALTU*ihX+OV{zS5lyl}x{s?&khk+B+^K7i5cERDlDjK3Pb_Gpd52t-u!+!xvO=FO
zH#RgB9k*|*<84__%=S1|E}z1pgJSjlkA7yF{Jwe(W5Zt@{V81Zm){%j`{*TZ=V^1H
zu4L>UWK0#t5s2d&o((99FaJ{%=}_tN?oRZNcRwCLA;d=GsuoX3nlB$qB-7FQ{7P@W
z%}ifbC(^bsw>vIDq09R6;-qwEkLFMOd8Gj}s1Jps5L%=OdeElYs4(B?I&3}lT&aC6
z>sxzmf|pBK_96maka+$2vEC8y4I+A33-mw534e%|{ns!`ree|hldpr*AK!r(17Kg^
zcSZWrL1SV~>Aqo`Sozu}BE=;j97q^4*q4EV?$v`!ea*fbc=D%4-yJ0?3;kPUi@V1UFT%uC*!-qU6BLY2
zg_lsLHE1W(5y_uLwK@>OUbc+~c#;mk~bs~}(2y&0L+xzqLt+al>w@Lj+v&6>_
zf%5MpwDb$~MMKw5e(Ksl;Wydq(ySpfWpb1-YOcO)BIQqMeI6C_ZkI6=o6f8)i)^Rc
zN>wLTb*?|(ym`%L@9&2QsgH#FV?{Oni`W3ABgVWkkWnv-J!^+57hI5}+9-y&8nHfB
zd#$|i807hQ62c`7wO_UCvvAWTVuJX~-^R*taektnVdY$qntS4co$_(0_^_4N?kzBj
zOCaQJ!p&t(e|L&X&U{nC>9hj{+L5`@;(>9`b)j5)O3@%fYA7va3H*3bpV9v(+;DMB
zD4&`EG%k8OVGpbA|t?!6ptf8geNpgi9|J+zPq-+n_<-SC>
z{7SNf$qgD$A6OPZ`Y3<8JV^eo{PFUd$LMq*6Le!6kfPC<+(4PTf4&^nUmU%!+mb}P
zLC!bl+>`tR7squO55-sjHz^;lk2rSNvn;_VN@&+B|9RwF5^=u;wo)kDf=xf0zkXR&
zorjkCgmm~K?}r@j7?T&{{1cLbx=^-Z6_LuTnu?xbz+$kh3=o+0JR(xCVKR3VUsN-g
z`Sp45$eT^aWRN|i+24I$;lERVX`PY#$V}ZAFs_(L88OmZ0kun_p+8+BJ&{5ku
z<3m}FM6Ku4)^{}*qY-kTTca_Z6_=+vPMfK`scPnT#~w~|Zv;iG@Ke1;PO7R1WSBVXW+1FOCkN*u^a1=bJDhn=`pKu0IECe0GjP$Sw&eHsI?$RL_|Ou27!B=sxPB8Yu}dG0$t9T}M&?7sM|NB?wb+}_cS#jJ1^H*Y
zWSut3={f+|#f8>j^s7?lu$`ET8j+De^YW^iY%-Qjy2n
zUkQ8aGd%~E9=Zxbgb;~26+iD&rzM}+zpf$Z#?$tP5>mUVJY=3#XB?LHTPk3vCh~NF
z+-338uiz=6n-!IJcQ_W1Ok=d}Z+q~FAEv7Lx?cv)<~3SkRlThuJ^78S5#{yUv^reE(YyB@lF3
zz7Z1204mc^$|@?W{Q%en!@siQd8x2IL!K5`A2SrtuU*zhcL;Gqk=UCtyc)VI4LWmU
zH!AZLOIR=ae#|&vP0KJ{Px-Z&Q4qcx2`Q`y$go-^pC_&QjA3nG^WH^{iyY=D6RtFE
zAQwmt_OU*`V@-LQFT_Hp9D%`XgMAA1h~c|YZhTqXNZ(?DSe@o+O)Dr;L3b?w?QK(W
ziB*U8%MxYy`Nq!+ASu`hUc;c|&
z!rj6%$9o-d3LCT@RMtUZP8_^UNsp|ZiGVHlG#!Q&KtYdi;)Tv#5&U^wte*@CIV7H$
z)sn=Szc@z37oF$md>jf5?$Cu~Zpvzt8tUdwSGn2cJg
zdej8u%K%s!yW5E_02L(znkOSth2c6N(S_L7*=g0i@6B=%!A{SBLU(()JqXm^K$-*t
zS`SL7>=`@lQp%Zda-?nC!`S0dE-(Kst|@HLcA9bdm;?ngZ=H23T=6Mz<{q1tRW9hH
zu$j5~qN52=F_gH$X=SY|ez8U?HVn%@f6hPo`}>~1Y^7qbxJM7wkru0wzkT}_O25IK
zCoPr*&z_g$H*)r`{Lf(+q+7t)RKtUrVn|0`Z(pC1rsiN6x$j^!&)OgWc6!a{NDZKc
zEBf9PlX?u(NkTPMH9aiX#CBdutH|~028EF*9=2dw9Z?RuJG(VS@
z)QH7ZQ9e)@7wO?G
z;GO5CdGS~F%U1_Q4pM3rGSuZ`+pMS`8TJtB@%VaI^hcsegeDMmm~k>Gmv_MR@#1lZ
zh&U%O4W`T2JCy;w>rfV|JQ7-sJCoF0RWL{TjuEfzm+7xjj%BE`c|{
z&X2eCx5$*~Bznw7uTaiq`{`@Avc-pU4>!6;bo!{($p^-|=U^;axU`yZ+WAB&9-*Z9#@H&>d7hrnLqu*z*Pv5uaqoo>b&L+%_Pm5Vwz?kG
zU;GCLrGcIgNqKn;fQACoZPkU~aK7@!<<|EN067Zmym6XYJB6{%fE|l4EZLkJ|AS=V
z;5d4Msu;hk<6Vt;?p5FQ^``5Zepgm5XuD=JFU`t8Q5zC-iihJQ#K@Zsk@fJ(mHMob
zs^yP)vwym1>rb}4%a;VExg=<(4)57)&9>Ze
zURUBbxR8#tBFL=BCQrCXKZt0oW=&^>O(3oJQ$X}QrKCyrosm>|sNynPgZ1Jof1ihI
zkFryhM3RHmmIehIS{kw!DAhRyH3tWWo%yekkwlEp)GhwNr`a)QZM;*iqR+sp?w<);
zotRs>Nz4qOI(%~5Epv~D47oJ>)szmWqfBHXH_ioC0HOW8imaorbgJ|3Ncula2VN=@
zGild$8aw#ZwD~-^Hn6RGU!vQ43%IMPmnJalHA7V#|5*jJP%-YhBBZE*6@FH29hQ&q
zS$NJDDN7I2D>0x(Tr1#8kJS#p)%6XoS5^vgqbn7WOSE=Yf#RM=io=S+CFS%}Q*CN3
zyyDSk9uCNDAW;(4gsx4s6(lW9a7F|3jA8wO_INdc%%r4&VU`ZG&bLXrTTTzayX1jl
zX}kKq41!n?DBxt6Dy3$y{w_p%KZmR|CA%$_%iHx4uA|L=UdFCPy(f%g#xgV0fyr5|
zs7b(?zqgh>MyF+lw;-ybN2!i~n3mCto8$@Zddz?I$7bnJ)jcWQl|i)D-$h{ubL#4p
zATIZjm(D!{%_}DCDG>a*I{-<2NAJkQBK_%;NpCnd&}QIxy=ea9`*-Ezc3@UBqzen+
zn3%R%*3fl;2X5){)bGUvXfD|S2Ls-VJ1}Q)*a}vS5o`6|!U<0#UNz6!hg;^7o!0hD
z?amnUJfR3Yv&Ntzhol(~y!>lZ{W-Yo&Ad1x|K$et^$Zz)hWeKMK{+i%0t
z>0-Y1+Uz9KyhHHjC39uA+{6A01qlzGnc(msGDg5^v;;o_#zp`KMsIKL89>Q_je`?Z@CCp-SG3<-LP0#R
zPz=(8Fezmx04EtvF=0c2Mu<_EpE^NyXNN(1g`EZT?;P$Fx&99FZAzlvP&`eeuh(OT7G_uCS&ouwT0wgQ8=X=RHAIwBN
zJ=|PQePTHWCJEPgT$*XuT686|nLwb=09f~X7TNpJzhQRv7yH#W6__WVcAH`&WI|QQ
zVLt^vfHF-_E|`Q@2X1Lb4L989!RYYqs|~XA!d3c4f0R-hwXIFa%hLPePJD+PxH<%(
zhn~6^Tk;`^3UN;U0*Vo+JEswVXnX5!H)|L8X|#{K%cguC^-uEsz9bMSl}Pp`UN~o1}rH
z4|N^M!^4AeO)SsbRtVZFonBHmv{7zOtZz61s8S`e!YF=I3M7n;FXYbO@kC(o=AzmxAi+8|3*6Ax>nBO59K&wyf)zA(?Zo;~AgH{jWm90%JUk~*c5!~njrig6fuuO33t
z>D}pW)1YtP*_dIAlW_lL#(lNG41*(TlGGJIYoyDAlCk<45GYY-855pWYsyf@6Q&lp
z>WY1|O=}$#bF^vHSh&U}4&eK(c){XzOc)YW#_?NG#LBwV*}u3ocj}-F8Mx3KNLH)~
zO)S^6iUme<&Im_0Wo-66Qu?2`lY~^=$rn+iDlJ9sWKHCn5t|?GY@6)7fTe%dR
zV7IC
z@|=t9z`fJFDX7JArnTrg6Ny3iNfzocFQMPOTebbisMXtVIlI{AAB({w1EKje90Yg)
z$tVX$M!MiLz1w*JD{8|zlvB8{Qr9|>Hb}NGL*=W<2<*wvpJ+9O=^^LhXF&H6iE?c+
zhHiD}y^k45IzC
zbC7)ElMyYbNZuMJI>07!Z-%D(^vRSwwC}X%PkzN=BAvxLj<%lah=03SZF$;XD^H3v
z_geJ(%Q+;|J2~imqk=q5HUyG3+X+kuM%C)?b}sB=o!Gj>VOX{MzqJ!v`v&3(OE#Kz
zZ#=iP*cy?-<09{5+>YSf&Cwo
zxSN-wRS$2~*}H-B@r;i&0?^_V)`8Z!Fp*n=;5sZpAxYPl0orMro~9K0#?QyqO@{&AYaTCWKbI3HJ2Xt5J)NYM%!1AB
zHXE`!OWnjBy1E`vE;p8AHv?lEIQ~4E(kRHh>949R4-XHQme}r}<+L5)d(~8ZOG`D&
zdASPH|Kw}ew53pNw;o2|r*lnUfmCsScayd8H1rvu%6v9W43k@rW=-?#Mk7(
zzJ6@52F4M)3s`%Qw0ot)`b5fV;YX!e;1d%g!e(FwM{2%%Z9l_j|M=N{a#8Lu|F%Y8
z`VY^~8#Tp8Y_BMwdOsa6?)H=SKjaK
zjvT$J@G-=D77d?mm4Jge`y*jiC@b>v0fWI8BL}Aua%!;3&F~}9JjHxA&^QtHeRpSv
z%7bet?UK@a@T0LvKIywJDGEx}i!6%<9mue>aJvk@gYL%DM$d<3ZXaO@Z__3&8R~90
z=vEBzA1*&loRFLaS2gzi+L(LD0V$oWfa2N;k3dWUJw*aJpoq_>&t+eukd~CR)R>FPBl%ELi=yy!7p;93Gg&lxq+Vs%7IcLFl@
zn65T(c4)OHC^j*|x9I)#n=J~P(*#C6n21^H^*B+DC7~_?n+FiXZ!a$;$O#C
zNj#y8;#n|a4oF)`$1pla9yUw0cF30-i87l}+wb9MxFpx55+lp`g=8to%h>X)V{IWW^Mf_I7rGAR*e){L+6*m=Dv(v1*&5$mM6@)2
zmNr^Gn^4hucqu$sD9boIVd(PXkwHFgah6dAzf??@$yuBqYaiN?1B3yuGFFygrNLQe
zioi*9RK1cqaGxl%dKk{wpyDwElyJ
z{rj-vs_&rhn?oyc=?Ku8p7)-@wwP&tT*HNTSjjB|d=>2G(SZ%ZTwiTwUo-R9T@={A
zEE7N4Q9udIi=B{3+oJ3r2fkh}k
z^1ykW+Wx!~l+z)Ed#&#tWE)j~>`ls8xfx4^Fh9f17dlb)y5e&GoH)f|Hs&0Mn(Na?c?y!(h5k2qJXp@-3lT~N;ksL
z9nvuf3eqA-r<8OL-6f55gS0e^bp6lZ_jlj-n`f)YGMwHId@EE
z_ij^D0sDH=uY#U9^*=Bx@}Q;>C;{Kb=~FZwDB-3wFdw5ptWV+tV;Qg8GuaJbVRPJIwq76KK
z6D;g-VBc%-uDOP{_uhj}tAp7a=hf>4=QN9qvKg8N{g7Y&7YAq0BJ7P>{l|pCouS8%
zetBiLdb?`&cl7tN)vAV;JOfII=F1j?^WSaQy*m~zIox`Dh+{ns|I1x%N1t;NT>Llo
z3Z?D$M#_Hi`nztj5-T11tpUI&`2&%T__HR=n$+G7yrs5H&Ua@sB}Z6K1_Gl=hkoO2
z@M3xh{l!Ue5HHZtcJ9mL{GHs?`a`&PKJ^z@g;ydqg?4=+j}=i{d`{-!9}QETmf9qh
zRP
zQ^om{%P&ay0I3o%W~*`9!vtT^-}jZGm(vy&SVEs%RH`p2Sad0p?NX(M&VUx_?Mcks
zuyp9F{Z0uFAzg3$cEVzh-oD@5)6MuN-f8Uy8z9(!V=2NfJ&)(u%
zEZLCVArten3vmBG%KB9)`zMUE%0YQ0hOE#EK=(;w1a}nQ~6b#jV?_W;GwRNVVB3|UXppUP^
z7dx+Vr+G8%tnb_!Ydv);iOF_H&MWC!9m(P1C@`k{J=RBvG)UqP&0?9w7u{~u1gIAPjYAz$Vv-~G-Rq_N*!c-ZK$
zvtDXJtm|`--jRA}>J9f#q}4L<+W3NWR4Pg!#a*BH)e2i*umaIg-J;#E(<<3sC^?6f
zxLTDw|EtB+mKFQ_g!aDpUT*IGKvO=g=PFK|8(QC`RsZ?1*Og$OSLef@0aJvMiMuT}
zhRzR1B~w_0K20Ase{z+a82Mcu`)t`eN_o=#tidOBgCU
zJS||0JLWGhU5B9{$jF9HR^Ei8KieP7>08={^m(FioI6$K;Jn_-@D*G;D6Cbz);vLJ
znW+*^e}KD0`GK>hlet#ko1~H3wGAfD69GHAvSEQBMT@$%HF?Ij0`f#;_Oym9@{QLq
zGf5l|$Nb)vA|g*zW1Qo3)e~{5c9SsxUrBOvvG@EMR4ujPlkKEyjhb1Ze2^n{weM|S
zoNgknHe4bDl;PuGcQ)7g%rzjW782uyxa>YV0ZW#Hl~y|D2cO)PlwLJO@OS%`7dzjX
zzL8%^qI#H1;4vZ7zxqkDxQ}&zLIJ6p=sDDCQ9&mB)|<4DFv8bphz<_Q^SNxKTHqGgJj-ipcng-2`Mhj)N@?mpEwI_F
z)W-MtB2TlV#QT|7-Cf#&kE4u$@x^>1-C7QDH<68rCV7x4Xe&QdOQSn4S%O$b?o)k(
zsZ-?!jwj@pQ)n8F>T`y7Yz
zf7C&yXgvRm>g;0MgzeOj*d3$eG1KXWr>;&BodaqP^&HL({J!*=Ck`G*(YHPFrK4m+
z9y)&^1J++Hm^iP@Dwo`iFwDi=A_4MAWY(61dHR
zZFJYrLg=IG4Pie?3O@F-5S-+ZH!|;Oe^yXhmE`mri?KEqPI)mf3~*&9{}vsX7%juo
z=1UkLyA#(T$W?<0`Gk34!MgdtAkxi$Fr9P2nvIyzJzm#!Bw~>7be6ncKXh5nNX~#0
zvqpzGV4*!Eq;H9uBunGhwxU#Kz$n_2+FZzEB9IPgt+;qM59<*huM?N^AlKf$(K=Xp
zmS*wn=d20e@t?N*)YvXurW8Vi0e6V_?&TsZ#PRnsmVZa8vc`E7`cK
zw-58jqupl4BE%6n~TS
zrHJ$;qeNl4f%JvXa@XhYIm*RZRvKv+11eVX6?6)eap0M%hzPx7&g>?`#!I^YW9{cEm#4_cMFTrp23xCQJp<`za}y
zh(_OS>;1FE%&6Zz`S13>9I}2C^L(axiA_E1k^O+o#U{XR!T)-q*%x~?b>fGh?m6n^
zCG+Jaws9e$?Skbvb~p{@jv`9I;%17;vwrdGVuL`1oVKOADTr&iID4%2+!MRX2GJbf
z6LFVaf5h+a_b(Am22N*RRJI=Em$CIOC9rmJAD78$RTyJ$@mW83D3-G9`8Q1ktGrPL
zsndS-gmsW0O}J$i#CV1e@ax=RxS(P`zf$9Wb_J5+aXc18A0#P{k)&MrS=EtExQvP^
za=N-xYo9?45lMUu$eD-BOk@F>`il(du%7nQt7|kT@taEo9{E#9>Y#>UV_;{nlph1)
zMaYfgZVT#NiK^ZGzt37=WF!*0x~ns-q~7S9b2=T1qy?Rv-zv<`Zy94euJ$CZ1R%47_Czz|QSy8)
zAILKjZ1yQP8|>UW0c00+$R_ip<>gYgkkC-PYe0aveB_~3ZEqOAGyo`x%%>}u6-5rv
z+X4yK0RxXIVBi7F=!LC+^urtJv_u*CMxPRE_f
z2_wPiKh`sA$*z8LdYrWz-yI{E7#X<%|I~x(ydR@W9U-8OY#e_8%FR7xCcP!B=5MC6
zWXS-VSJ=WHl16y!yjp5=`j@C=$ex4I(VA8jeZ?uexVl{mqfOe|J2`=_lMBK>RPNMy
z4iBeG;w$onm|Dn-JiKwv(pt7ur+tYuvIAQ8hK6ct`EzSZNPS~C^m+i1c=Zl^=5vJW
zZfmXCAT18Af4}rhg@uY?A9GF;YBONo^p&nfRG@$vDGnV2-R-`6hs;qH4h
z^d$*KB_&a3M7+urOCBXmsNxQ>iN--2%$*l`iILtBD{z8U6oeU{XGIOu&4KeM0E|T_Qj0#G-SlLLP=}1AmhgVyc=BYC6Ly9R
zxMedniuI)jry4x@A%HtB|8Hh-47(0$iObG3+DWqKZq2Os$sDq}14@x4PU{NUa`CNz
z21@&n?!m!hNuOurJFz{Q?s5_K@0~9gC0E%E4MpbBJM9_#1
zg+ggG!fMocEyGL2s!h0O-N#xU&9gdnNq(VTiYZm@p9vsc$aFqhL)mZ;v(`knqE_JF
z;zybOd*@oXkOuGKQJ=$x%IKaoIal_1&Fi6~Wuh9(?^myBxOVklmzk{z=8MqQB=2O2n+TgVXXU`ss4pn86j=P`Nl@
zuvTi>?Z$E5S*KQ^=tWx>!Na{K=$-d%HoOX0{%SZRZ{La$xGI49HK8>S_Mstg%)nc$
zdPSSuGfMsDW7`)L2VEaS)Z#`p=cWo-tmHm-Gir@jT0x(sB36uT3JW=rm1+fA(vuRl
zeEmir7R%>Ee`eh>YpI;Vr3{%NSD-NI1q!ITu&blY>}*Q$Vt^(|>*1f4)WF0*1qfep
z^PvZT!bcIX1%*-aaCHN!qf=&Sex4&4x48jhx-w33f^kXtdjg5l*M;GXtJ2wI=}&y?b1L8yHo$
zTFhS4N-Wd)(eSsrG4DSfu@O#&2Q2Qg=*Uk{5~(AO@jNySwuZBHcvmF=K5$(|0P35uQKuCIcYd
z;ZHEzc(y6)eWj9#sIxCx7rd*zU3Hr22?@BDfV^pcqUrh@Ah(JEgB*l2*Hhh1$3!`S
zs#1&k`#s!53kyf$<;$09q-a^kkK1+XkGxn^Qu>#t{+z9>(Ol-cgc1(aLpW+Ei1Me*
zWM*^SM;LY8=S$FT_AJJ-Xn_WCXc|tnVsM;Qm7QF)^4eD@3ch
zJT)A7hj=+4>^g8f->ss$qFHFxmHY9|Oc$6WfCAuFOy&!Xq7VxU3&{3t4MGBz+V(Bw
zcnr`ACS-dwQS;BwYC1N$&p?XdhoOp+ddZaQ@_2(f_$zjrTJ&sGm5
z(}1}(0~|WDO1A3xWM>#v&Gq@#>o;$Vz!-*A+A6jX0BJ)U&)6XV59K$jo}|>&K>(N~
zMAz8)r~*h4&8Ny30KKUwVttTsYmz?l@nRsBt#9$VIxS*a2V;Bo{$dA{N|?v+^?a
z5)li-i6XsO03nEujz+Rya&vRHrp(~;&qA63wHeL#m$O?LRrws()SoZvKl3j*i@CEb
z2CnaN32lGmObsju8*o6ny!6T!Y<|G$1?hlI?;{OMOBO&t_y7WC$h;f<@iqwi~z``;DRB62n0@@VN-4>;+IdmynO!K
zPJjYYy}^zsIfCQ`A)zGzfWc)o4#@I!Wq|fh7IHS)Uu?mn7I?~*15;}+V?zQs0HfZx
zHibc^5WFCeSKM!buy95)C!;0LG?&klu;8Xc#Ah{+sLaWlGE4QEv~KNU2wVy73b%jX
zNRtI>8=WAb@Lii7QfV;~Fja0w)sdZ*<xDnPCfM+F*?_KXV_yksd7|;W$*tee{z5kG_VQt;uvWQXBCJopyM7N|
z;-rWI6n)Y-d$QHQj$9Q%SetM>@&IMfRQ6_k^IDM0_^gTYm}rO83-x5~4nqg1-qdnU
zw!3djkvl=nm-!TM+2_mBv_|q4^hb08`AjYIhnDgW53$6b{h2C0xY$8EFZ_xt5#pt<*j@*z!CndM;(?+aYdJKIU_X)9j;8ABDxbR}mD~EX*NWB6#pRCY{OuL}
z{u#qf&jUAhXQm1fD1P|?z&gJI^4o<*?|4A33nCrEBn-Ii+#6k8YO&M^a92M%Z*LCc
zJcy)BsOOmDGSwXEp-VhqBN3u$tZZ64XkE5B@oFFEbRD
z9P_X^8Qj!Edpp=E8WYy%r&a{!-zL{zdK*77I&Ok?v55~J2*&7vxh$k42VF3>qC@vA
zlk`CSvv9FPfmEj4WGJ5RSbfy%Xs3@8`!@U>zupP8i7$}Bu5uqw`JmY3`J>%?pNWB*ljS1uFDY+JQdY#F3L=E|M8T=qMUnL04sh4{dX^G
zC_;;zTG9N_1BES0V8rSjRXuHJk^hue4CjF0&kbJ7(;6;{-jev_2G>}Gl03f8=Ws61
z;z~raViS+hF_HOb1{t6;;tRfiFISP4zX*b(GJs3Qk*Sy}c6x=iFoUF!1Ve}7g`8P{
zxqQU+YjNEk3vTla@E4-xB$1J698Fx;X55#cKeBECX<#dj*74+YwQQ^ud@{W?YS-1D
zJON3D$G9h{ovvxFCwUh;nY@*5hL*!0mK5c^D$McY1qYa-QAkKI+{}u!(qACY^>Kpc
zJ^Lh2XWQRTASR}!!yuZ!^bwC@l&1$w+7b_%6L_sQeq~@G0e-OtKJNWYsPk^i_-liy
zbPiYwAd{pV5ghWs$;^Cks-&X^5*>@X!0z9HYdAxCIwHA$A^f1oPaKD--M#w4l|rtu
zqh3ofX|OF3w%gJk67gVO4D4X3hU`5
zRI|KEe&C>g`swLkl3~igYxTvDBm4Dg0=fE38r&*&=vFu+mzlI7JmO)-OE;@tjF;(!
z9xP9IW_=zZ*Gr^UP(q@zsf!;AnS%F&F-MrqdaiS7y9a=NlTj|NSw&H_gUYVHg~oOE
z?M@BgK#~R51=J5SMZYUe!`#+fC9Q+|C9g^$EjW~2VHMO5ZY-d}G`VPl3
zQ#D$hHCn@}TES%5J;j-!OiHcTZ_$gZeT}8Ov^gw0I++0^Fezy-b`#`+=$DL;x-UCG
z&~64ER$ngysdd@WHtYjP@h;?I0Ax8|4{{C|(A@zsE^>0&YcMNipbB2S|BQ3E1h3(z
z2z=1~a|Elw)j%(yeMg}VE8BH+8JpWC*XfG?rm(vUE4R6t8QY}p@~nArQ0Os^e`SpwmSQ(mk&`v}kz9(=|m
zUY7)321gGycx(t_FB_M-^nHXAheO64idm}sxd&H)r=^z&Z
z-|sR@bD%7#x?FY=>*Y66T}
z@nRP#K5g5WXS+VabuqpF
ztKu!2XkGT#q`N7P){zMaDN3H1Pldi#aZW(hp=j2**ko}D3JOY;Xp;17rUD-$kVe?0
zBCA$ESp7aGodBO9|oCz1&?#a1&*CWCCu5CH6dS-V4a
z;=T4VGbv=?HCMRkA64_QTGA-wWA8=&H1X7R%b#+o02!pEWq;AzvCD>iU<45sdW3&*
z_|npnW0k}MrQL(`Oi)Tjv!72hRuKPH^Q@7RfN@R*3;WhE%NXNm?$(W!K#a9WK^qDB
zyTg_4RocPsZbQK33kjta70N7)W!DL?nYll&UZ9C00dxZ4tcF28OhTtw%Cg|;BK63$
z8Q(Y;C|il{nK7Bf)(xVjq$aeh5zC%hzV1+4%|s_06rGG2p<-z39A=_?OlPkkX8P@S
zV&5A7@VbvjMpE{hjD*lzL
z!h{^UMMOjdqLD}IsW34RKH*XEg#uFdXwO}s{9Ab^blbqh0s`wZ?zhv#KZCzOgDX*G
zGC!CnSsskzhPiKFlXy7GK6ZgYH^$kGYCKd`u1`Fe21IykQp!ngPy8JEve~7`a^CU@
z=m!EM&m_L!uw&cXr9i&;^P}*0-Cr5r@69KJ#HaeHF1WV$bgC`ifVw2*7jjNr4fbVJ&M
zf^JI-G8GiC+A=oP%YX9cZ{7SU$M@5-_3=U-#7dOnA$U`Yo6S}`06&~#r3R>U%C|Zn
z)owG6;8%ihVuW!eY;`M1KK#of*A(lD0QKhta9qE+NgSEfcp5`cz
zp(@vf&w|`4NQLrTi7@R)HjsakavQhJO1;aosU37wti2lxn}@01l@UxidrP0{lm%8N
zJC9;BdCcj&D?@`K#Jj=^8ccR!oBe`GqdN=r_6x}s{pR|LQ^-5RBlU05KamIx^6eQE
zE3v>n-n;vfQO83LkW6^)USA&HPHLUoY5a~Vywk|c6gy+@GC(jQRjw+W**PJR$IFS7
z&2ZaWg+-LY@PJUo%zM)5kdJ4NV)az5#)I;pzdfr=@9F3U32#-@AA=dV&7
zL`a=3cI9k+{=PO9JC~p_VMIQ^xyC{Gn+N36CtPs^ePj#V1}VLyq6Uqp#9q{mFkG?P
zDDIhj`i`wVliw#ASG}&eb{adYbz@VNNs&@fFdu=~q*mC8hMShl1D}%g+sVz6Lt3KmK^X8BI;=-wAOj%*ERCvv6S|L{C2iC01Y`z2Q_=T12}dda
zJ>9~UH5>yg&AB{NyN^*s{jxThD!abz#H#9>_u{JEA6G9-6&Q?#eS~O>Ns##wJFi&g
zsj0kLGtxNaa!t^p(Fr!as)qE~oZF?5emG5ze}DgF
z-ox~_8#|Q43DW9g=ikc{hv8XT2GOj6E)N?V%vt$1mEQ)X9zn87!kStc}&Z#Ev1g~
zWWem8HT9W{LczJsVtdAL&3aF8;+}M{puzRe+QNA0Qbgli=i!)Xsj?>}(?y(%tepr!
zSgCfU`2g|BtR6Du3!>By=Nv1l`KQEMO|muLz|9*QUB^L8E`)~^U=C$@yboJ$16@8B
zA3r)qbhK;gdcS44@!4l1T4J#yQ&%N=x1NF;{AP2n;GzaZ49wRdcC7P^jLud+y9?tT
z?8Lc;dw>Wki2soii$7qY_|v~B@C@u#WPl}%*c@avI!Dp9GZSi$KSXi*zO>VznJ6U;
zrLb{BcNX0ko$qS8nNLvL3f8>TLz%ij1!_<-HHyf5dNRb-^Q;PcCV-I4X628odWrd}
z0xCRg0_w0?+F#?d!j&}Ed-nO*eme60G*_c=Szn@o><*><3t3W8;UvPQ`MxDO*RRPM
za=jH&10v}R-ad#Y>W|eGkgkw!f0(#I4cGdun&SnC<9cGFgw_d83`I=g%YziM7dJua
zC%Acpdf|V6t;(cAlf>US^)8Seo-^h5&NVGw?0{6Wum=84YbsOHN_7L1E@h5tyPDdQIR1WS`3y#6Q)NJR=(J$WUFQZ
ziIL+W69|um&H_cif`R@GT=!tzp3}P|m{gv)+WGy7P|XzJgpGd46gW_D
zq}=?ZDt`l8?2&LzJmrM8px9AY(n`DKaNQIS&rff+m+gE8P0XC>Gc3&Wo${718|U0M
zDhGe|xri-Y#T|zU7S;hd0577fS-0;o$h%k@OmAd;>}SAykjU%F!9wtKy%)bS>8;Wm
zBWlID_bJefosR;XigVjuhtbFt$h2ib7c=73A+Pj-LYx0PU0hkBH$rE_xBp9v>DvSj(SXC6CeVcF#;s{&XZ
zR7IHhk*QGlIq4^VATdNl1_iMbyF#fNH+4xC
zdu*n2;{|9D&el|e&SYlx-9x6*SjR}|_$;I6v`n}O>fMJRqN0C@@L($vxp3=E7HFGmd!|34M@$?TaQWRBR2YChT^5ysRQ;F|8#qo$^f+udnY7
z-bd6~8Py=(>`SZD{M#elwy;-uTV!dsx95fN?!hxhU9m*Infqe2cbY3;Br0DjqXKQ^
zi-uqgh;9BnEKT{T2Qtt1xtXt#hA{VwW`xarghr7Q9bL?Y8*Z1j{-HTyTqkVVQk6HGWM$(#3
zsMGCGn?im)teAcs&7Z={(RcDuCnY*X=qj%+DixU->H6cl_TgMKmIzL1hk5lbq0ULq
ze4jAX$!nvGvx0W%0WJqj?+h<+J>KfBkP}TdPMbdg{l-p8ZyON;T&BfPk%5U8Zg-k4
zavx!S?}osT`<++kaHkKm=3-F}t%3$moC0L4izHtMO}+1C9vJx+*8n4Lc;$ho-^FDb
zNaUuRDBOAKVq184;C(@-_-DG`Tmgg)Ccg)af`P0dW#iuB3?1$hX096y!(VUK4aRQ+
zPpKX!D9TTy$Ra_e5-tkn`7e&Qo%9cos0bj20b#-ss;&~}7;o}(Z-IIP__|J=z%KXi&hqBU{I2v8_UFKt)y#*BWsMzCeib+d!P|i@c
zyE2Ul!@tMLdXqV-Lh?9)M!ZK4aKf!4*t)R7h)EoUV$tt~ffFgRi+(;kn__~u@@D~I
zW2-N!`%u-$sq3Fc3-;kLALj14Bz03mPuJ`jL&1W1)Lp{4h$F|%Zha%DZ|at?>_5Tf
zC4-2U>tAWGn_o8xK<
zAn(`hi|Bp@23rEKF>fv2LD%E>tQ4M6_V(C8?~V+cvkew4Cqq$blGn?Z!q&=nMApgo
z^w-bcB#;lp+TArFLW?F5?9#+scoK}$zxIp*S6FTtLc1=YD7!v^>YKcEDOiDU5hf&g
z!j&-CV{S)e^3LA;|;&M4&Q;LmZT+z2b6CWqi7WA9#cvJ^!
zc?I-Jze{6^`+ojBDg;a&P_fASeS00H9#d+@oY6gg6!f19d8=?fOX0VveZBV*<90v)
z`yh*Eb$NOj_?XB)Bq#W!6n5{Y|C%p^SpIEg1f#4*kDR>cqz22>|Kjr$*R5zhzU%iNnM|J<1H=wvgSj?NV(cx+gQ0R%8?u6sx-n0B8-q$qb~Tz;M1K
z&}n^-Sfz=9yzqZd`>5e-j*t5PKWXEi%i1v=Ki+1zoy@sTRag*%kR2Tr#nH*h9nsGp
z6c)A$8eNyKFZPNLx|ER1ersbu;MIgzcJiY9{l+}8mjj^BzTHw8o6qym#T>c#7Y+_w
zU=|@)6qBNuJq!S4;`r@o|NQyWm%tlxv^9aOOf5T%3=g}3+(FM=YFymUPh|QsAaC3j
zfWMp`NV{}%y?3+eeE$p59p{a0z@oi;gtv{&uZ!Y3e`i7;&+PbPlQ`zfmq*Fz|9$a(
z?Y?^X@F$xYk>g1y1X*NTrB#%dH);Kd4XFnxDBgrEdw)!P)CYI(lz5)(mW0!=-1mLF
zX$|tOy@Q`%gT8GSUaRXZ2*nm>XjiakkSvUNIOGeqzczjL3
z7%uVw&i*wowEXhVfWMZhXOBoqaQ-ioc5)tOoE3`xz~n7*qq9U|!sR&=KDvSYJT}Gp
zUotL0kt46@wq|*@qI4jDNF_lr0eY~%lU+i?iBiHxKRm)=Ls`2wrp|A<)s%#-8MHw-|L`*GD1Uz
z1@c<;45Y)uplI-Z7@6Jb=7Q=qaCgy_1P*$jZqDk`x5gM_02GZNGzA-n^8Y)T)rLKgz&l
z>@Q3Fw*0!UZ;J=?M8B<@QnxYe0F~!&mh`WBiPTPIOHt;dp2n5y`)7WvN3s_XwYaW_
ztbz@^x(!r!(5nHC=?o;s$ayVE0E$g2tP__E$Xp&6j*cwb)f+H%o%stNXLwi6d&AO1cI`TMEn8jidDdB(o8(S
zzQ=o)LhJKryOiq;U%TP6w!Q9
zMT>*=qX`2ukcUN%Xy?_JCs9D|E(NcpYJ5YoTDOesVjr>gsH61%li$LwW-8hxB`_c!
znPv?%EYPmZYmGaZ_aqc>qxSkizpQO_+u
zUB|BBeneLrfRl9s49pMB%fFe-jW08LOyv1*ZzltqNrL@cLwH2ZBs4M^#yb$0zbuTY;n#HvkhOS@oJL^{EK}}3qSN+
z_}@BqpQ}~yHAY55p7LZVC@QXxD2kha0lu>!ONo4&(Cz^ar)OpZ1^YEVO{t)8790}N
zD+;$9V=?WELusyeN65T+lgATi*K`#F4HwKlr<1}*TIu{bF8d?NqvTKjbe>-6=HHLS
zCDxEQRlOtA-8&$4#^OB--=PdM0JrGhDnXpT
zNbvOJzHh-(mtu>#T3#@9?lE|09ykFAMHhgRuy_?%O%xsJPjY4bZ({QE?tO`03gCR-
ztY_}M4=sf?Oj|#Noq4APmTw!Ems&SHmn%Ye1?}`@_x3x{_9{4pVz(DOOBgJZEArR!
z=V#?>c`^{$)c&MzU}2rQd}L9mosqKN>`?p8_En4ZlbOXMg+_#gI{cRx!^N6Fr<;a}
zVAuOiJ03cHe>)Qt|6=y$m7{fw;bHf<7yet=lVYjR(A6*}+Mg?wkhn`{7Cd=U$%Nvf
z8zXg1a}v{aAy~hT!-1(&CxsV*yaLVv<+1gh3Fi|kpE)-?pC|k@y(?H={GKjo=J=U%+!>+*nmm&MN5Gjn_WF|`s3?
zK}s2@IHFvsv;)fw0mT?ZY^04DMVQG&j9{l5?zvE>CVAuY=?iK})W&b&Tq&)`rU-_1
zp@?te-PUZvi`3A=FnT2;9=&%nCmmBNzku}0$tVyCOoM*%dZEX
z>zC8v7YO)I{Fr!G3{{!g6(-VbVF{cE6_&kub4{{KBfQrlV7wf}O;|Fqk$W@J-~7DieL
zNRRx_j+WkHvyeH*|8^7?=?U6{sO}X8vRxRwBF*1vX>!aetp3+s^xxxJ!@$ntYW|;{
zzt85%r|R-AZ26yGMaDw^xuh~OfFCkixt?Og@2*
zj1C4AMv-IYE%UHd;#drup2VS8J@r~q{vqWJ-X(X*rvV`c)Knx9^WbGgiGXPmLw
z1wi`@vWw}J)Q-%W{OHA1Ol_9zst9sLex~jTC_J!g0O*gL?t25z#r&_O0(xH;R(FPT
zaUIKa#Yr4EW}I0Eu8A@P9(7}NlQS_O`d(A10=RZME&J7bT3st{~o-XH%XsB`L
zQQ$l6t-0OsQPF?#$?ffBxxa^d#ZEu}KE&_e57~ROx|-|$D+Q_Mc}r6=2XU>e#2?}R
znT0bPI5cVxytzGxynY~LNL>M8O(f?fck3D4|X92KD#2fp_JCGM0v$XYB_@mY!skTEl``J`RLX@90_eudxoeh8~b{*wg-G
z;YqM-8%UnLIV9{mbA0C0N*QJ%-wAcU*g@xdR+#yu&gl5EDE2gmv;z
ztcfT@PI;l@Ir6))Lo~zii*j4KDbx!LCErI8v$L^^EJI=j9~4V8n*&G^YlidWTDenM
zvVSn1KCXTnop&%Oy;#q?eT6?Jj06w*_1RQ;@q!%4v^lERrkAT>#B&GYxI#
zwcjh&q>&In&?V;!klAr2P1~l6?SpQv*V)`1biQ=syQ^P4$@WK^)W=j@ZZ*-8G*Wp<
zeQBt98S1|8biAGKb@Ty4WdD%RtKL|0jsaN%qo*%I8ZQ}icb8+u?Voubby|NC(k=|n
zrp>E9-pZtmrU&Hg%E#yO;1xiQwF4Kg3n2PG2L+`=yTbqO%)|m$`FH;JJztv{j<4N=l&ecRXGD#b(FZLhNxg}Z0=Lrlij&cI`I_1
zpQ!JBG-lb)Ku<)l=Up=|aGZl5Uocl28(yev#r5d+ur2PiDno=Sh8%ya_QsZbojHQQ
z;AM)};p+r`&INM-I*$XyWBvg97+V7a4w3bAMG#mm66gEWT5~EO{r_jnkI&@=6^7W&
zZPQO$>x*cc855(IQk%WCg^cozgkc*0S%sueS&(QjQS~D>u>e5x%P1-`@$r#1EevMM
zC!WqMTzBTF19yz{#d#8@{*vP!`di!AzF#i-gkUTD
zj~-%MF~oQG71XChU=c1C44(TmJzLOvW+k>&*SIhup9n>RX!jOQyq~!5y|vKeQS`X@
z)!>|y32Vh22n6Cw{Lz>oEg&vC_tC3xa{zKUJo8EraW4ajr_GKz5LldpV3WsgUPSb0
zRAqB4KX%r(3h?0m1qgRF0HoRku-bj~r>_&98v2f!v8U+&UgmmgZv7x}|9iZh-)1>|nWzYBnZ0xex$w`SWMtJv-Mv*F+IrBa3%9
z(%28G@e5Bo?p$pZk6T@kF;RwE#1iGKD(dIX>kaGFI71fM)^)PRi^@600=|n>a73(M
zq)OUWC5nYUj}*hCqVk1EWqe`uJ>FX=23YBzJn}%@yjG6o(EAJGTno^afWHf7W1F!X
zH0pwk$rym{shjCII+pD=-S~vj2&;2UocMnOxv&h2k!%Y9+i3A%R7m;(V1~(6-T-b$H1tbM;Q0EH
z$Lf*Cqd7btmCW$x9Pb{*eDp#es*%m56ZKF9?H9^TK3A0eKWT;D%K)&}5v{n>TIlia
zT>kK|G8l*L8ovzaiLF+CMzXN5C|g?Q6%uZpp1Oh7K5syL7YVLJHqaP+zvEH*V@(k<
zh%DODPzPAU40q@1mQnGG@=l@7`(`v>EuB_$z8=MvY3Z5dKS5L+S(#My!Z~s-;|k9$
zyq9;6~b{k*UUSv-bN~%_A?q6GC2l<_O+L47EVeE^5L38H
z?;j+DK&HO{ApjRP8(dcvWgGg9{oidZIz@*FL?uX?3RPXo3@=Q{ss{A|*faH6+
zyDjW>061F9q##IyHezYXk{C}-P3?&2GsLpkoU57~vTfCm;3}S=s>k?sk|e4o_c+|rzomwYA=a6
zF<+jO^WgcT-!+n+)IfQLCkg19qaIsyh0{30X$0&gly^iV%$Q&UeAbgsUk?MFK~{Fb
z8i-Go{rB&Cn;Ez~79lO(>v*7S!0Q*wHui(pEkOx`YI=I?e=eWpV8MCSrJbsEIj*+N
z#G@V~b#_qQ?Pq;6K8d0jCz#snr(IuNOiaZj>j{7O1A0_cm6eAVuR+=~^6~1*%E$LX
z4K4my`QR@+2Q6cjV0!tNZ@9NlxND=G1YzOeP`9-$BA^xdk(alpv6ov^1ZX=ij=*R0
zfdj5ztN~i$ip%XxO|xrV_c&ey{BsQGlp#w(um1l1#a=xk9QY7wuZN?VRkWu^h49+$
zgrjPg8oiY1#nf(Hj|vW9SbKnu{JM{CLYO`rpLuCFcvPwv>(7}3&~h0tb|Z@`nuB5&
z1wPk^)U6r2rZJENqMU^RiqMuC-xs;Co9oT_22X$4A+*Asa>C3GSTx)=GB2N@N{3QJ
zv-ZZvq7Oe^51SJC6+`d}0hH+Y_}q>VvMql?u_3Tf0D3mat*_Um5qhr#`c9ChP7mW|kp1iD3zkbO;A
zUd;p}(dyUg=e_yPbSGz-gyIEPuD$HTvkPy+sHKssfFxLy8tQD(i(kpA>t@HuE4F@LZ6RsyWY&xr&javx@ppL!`c0lUtLj(jM3^nR-X8~LC`
zw!$(Ta^HY&Dbeaz1Nz&n#WDuo_veq1KZ7I%q2ImxTzLK)OYe5a`PFdh4fX&0gyN;I
z`col@f@Hu$@*+L2pyvNab6H0^d
zFM{`!wXumqDWH!Tb;yiexp{@XHC1ei*@U<2U(Fqh(b+Tx#a(A?#siW?%Td636&@kNugv(c2SlgN=BCKmpw`Llr8(Dy^tDP$(G$P$Tm_)
zS;~a$`;u&9tl2WQ=ltn=X&qszK`R6kLT%+>vH^N`>yACen02u`#EbEczEvk
zqy3aJwmWZZ&>;hn$i$+oOuGo~7c&>Paa?oHHstAP&Ykei>m}dmd}8v7SHrF|*w`S?
zQBTj)Fg!{G_O&B;ui`5Yb)IdEB#Fx+?jAL$u1T}!Tqj8A=K#P*X&f^d%G%sZ4jOaZ
zME?vm$kRF@6xD5~arc4xOC|f%8XDv?S6JYOK7vV$I%$#w6HJz!KhjKGtr&=UF4DK4
zlzM2>P|onANbK=|*#XaGSw=GTadYFfi<#}gyju%(z#Dc@k@Sb}LyiJbY>0;3i=KHe{q
zRgZ{IGxroSNjTxN?<(9}!jnF~VR{lwG>pp9XQm{ckaxM&gV(u!$VwzFbi=(TyK#n?
zlatnMY2wxC6IjmaXZtog_Y;Tcq1;a|TZ-}XY*;%BD~&Wl{&2xuOgGu?P;L<4L9hHC
zue$see#|wWm$o6+^WIUlHGVaDbG$aoFEW^P2Ri);&edH$fm)BD&sxaZstW}N&C_P-
z>~(?M-SmGAkhunaVP-SIGuB#N?CWzDPLA_icFn#A21;U(%6(C%;rY-Z%ru|C#mzBW
zhv8F%9#Le_l$|d#@$jhidSpotJCbLzQkeUrpFBzVs_D=vPJWuHr>2%-wzc{m8S&k|
z&C$$j<~uxatZ&!WXS2T_5J&z%p&lOFw)K0c!5e(Hkq0Og*HhZPTYudC^c=Od7*RJ)
zvnX#pLNV1!&MFIMoLN#eyIJeZ_1up{uz9dXQgUwV2pl^?;xP7SCvmh`*=C`A^iHb!
z4@~D7M#wuQdOmY7eQ03ZiEo^(GOMlfBkaz7%%|i{=?^aD
z?0K1bo>z!ek{DM{)i$Aj>%t{Fx3hSn;8WqskyAr1N3x6@9aZ$7UZr^F6#9LAhzqrW
zE=n^G{g$Oe8kqyA)s~X2*JHsq
z4~h$vhflxcAE_|L_6!QASZx~Bk=rNgw+8LpUgGU-Om1s=3zHEK!j*7^Hm{_8Vhu`&
zo;^E|Z+LW44YoqgWZ^<|M+)<%XuxvOFy>jQ1z+e3J_{M@s#&R~zVFJ-%;8@vBzaE_
zU+>a|bmFH0FXXez9z3w^-t_Hg7TYvlPiat+Y1=q-+B^nrtfBdQX)?lVD$jU2r!jR|
zMm=0gW#HP@XBJ@6c{Bq2lzm6z=flQ@ymd?$)ThQ1u-9EoS3>*vx6Iy+BgkGfrQY!v
zE%Y?6yymbfulMCmS|oNseZKp5yA@$Q33~jzS2$&{I(KMOU!ye9!84`U$y5RP86GbQ
z`n}(FY3f80N|e>SHrb1ao?V{fyU9WCQi)OB19qL~$!4gUxzM=8AJU=BvKINt=)q12fyMp?Q-Bzrv;p
zbf1>}s3~N#n<Yfm6
zGzcWO6~AtLW5XMp_`(h^`H*|(D2e-Dyk(KnwR2O
z-l{MnZ*tiIrhM1P0xthucUXm&<`h<}%-j@bCjT*=mpo-|Dx;*D{J=-`n+Eb`hKkAy+D8Q?W%(M#LhDQ*6ppSm%s4N*fCt$^N5bLw5MBs8YCfIk8Le+iJ;dg<^AvM
zq84V{Q?s=fiF*$7md&w~^My?-EReR`?nDNlE;RO%JZHv@=!L$snUo!R34wZ1p=`Zd
zU-1kvQk6F_ilX@Sj?k4?TMxCWL@pyAN1>ShAKQxXLD0!gc=~5jV3fpki?K<~uOAhK
zh6xp;8DLKT5IgQ#MI;&~XttAfO>wX7IZ>w&@Ih{r=FrS?
zGmGD19JN8RX4VuN_@a%icp{ucbsA9Dd}C;!)nrQIu%cdwlGr(*Xa}Dr3}ADXWcrOW
z9g6W%y)xR*C;ij9LZq@z5J;K%%PScXyCE6E->1CQ;lJ!%Z?}qQM
zFPlGCx=q<^ki5q17ZgWO)jU+qvE*1_7-gslLG{yezaj!PWWuXm!dQf8XylYN-K@wr
zQZ=>OY7{##Q?SoAo&Gqst0PJxr!cU6N1FjyW^qE#b)y3iI8j~N>|)wvk|1)!SqE5D
zVQ05fuHfXlvqUq?Y(q>8uUT9&%p_2+cK-5EFGg!0{}Sg9&udHCAeM`RLEpUPchcr-
zKFgsUZSb|(`GFOO$Vz#JQO*&^bz(gwG98vCz%kmRj@|w}F8|o!{KG-`C%uo;a4V#DYfL&y&)S!zGqW_MCm6B|mP4rk@>%deKK
zx%9M*`qhoX@oCg4()+b-NQHl{ZAj0!Gb|1yP#_lIfSaPAtn;5Q^f>v?#?F78W3Te~f@YT+YhP8I10LeO+{Rdog
zv+-9*d!q$NrKK8v0s8JuhQ&h-0>_T2KCu2gvz(QYkx@PJ+VeO+{|UHI)?5#B>GID_
zY4vx}C=}}O5zM)>27hZJ{#xVz!t|mt8fC|QNiSly-*t(MyfJi;#PR8{9as$GE_^P(
zAHi0$w`r9?(Z5fiG8)H(^7vWZLjR~B1edNEn%N?DtLfhV&?ZLR9-SMW%ww|y8OFoI
zS$U%AX`My^Cv*x#Nv;-A4qQaTxHDHv38&>5`wrwI0n2TBu*>j&`1kKMDStEE4Xk8{
z3qF#t)h?meFKTKU!14O&=EydZ8>3Xc<^5?#(%yty4{bvz&9aki$jRXY%Rk!ICC|QY
z8=hZTsAjja?ln^XZ4=y5ND_@pXWm(yv`e>i=s~Hp$`U}`$IDlz^))n}SOR^Ezhmpn
zf!bTIf
z9}%x!2?GKKRgV6EE8uV6Tjn}CIwFHJGBVQkI2Vs^2Jx4ad-rH9plc@t1;5or3Kx0L
z4bg>bKCsTn&)0J;Ta3D1zA}1A!FFqH+qKB0N&EeL$R#`w8w^B}TuQ{d}Dx~=B;YOQ75i?0fRnQ9pl&uMn3QEYv
z7ZOPy=HnD#)1ll-mVk1#12Lt@zA1^W=ho^J@gfecRK5m=-G6Dr5+;$Ag{2jQwJ^C&d
zQWykU2L#=SV44a{OW6^jtrLBJqvOzo=dO(WeDC0`gKA`2vAEkwFliq*MV%eo)g3#
zi?NxKk`jhuI+1-PF05}xCT+yKX9FEMpH_BOEnl9LUmZHO&hB@b&c-Swtg?oV2h}8)
zvNI9T1SeRMl3MzK6;?Q8h@pO)JEye$rLtejM~_QM=|eTO91#5A=rz*SeGP<7C%C>J
zBkh0-{287=OI#$kTtL=nwn@RAMa|gLx&Uj+yRHIfC>>OHEPQ-?N*CMBBID!xhsR31
z=dJ)W`=-+6M{QUKQd4JGQkT+8%X=l5G@=Kf_|ZPb(+o4|X%dWgJ5JUhZUORD&GpJs
zHyLZtxgElQ!IG~fzC7y5C?maN=U##enr6H=wKeRBA|8O(Osk5(#i+}<+1U{Weyi;t
z@9#c!bLiX_&X2+9+S;bdxOAtS4?ch_2F}wr5uk+CtS$~!w2ADC$124*^*@v3?>DlXF!eabAs&ZyZn#5VmLAr*O$
z^~!)5_+Pf)X6W)$aBniVDz5>CE@V4L{~+jlHvSa&n@T
z&n@icv(jo|DB
z<=3>&i*?F*t44|z>wwIpfrUli(5hVDbs{7^(-1v2NJYgc`gw&fB`Em(^dWL91-?IC
z@8phP*8=5iY;0@ZkIx2)DO3#PLP0|YBAr$wh^Z;i2@4Ca%(2|15hzb{aAU0Dfkn&C
z&D|)$@d*I!+2!*vdvzqzvEHN7hAClZKZ&cOc(2_HU=#l&?$M$pi@|wKcIw*obS>M<
z$oROyzuB1&_nJgb0kWN%p6�Le6{kvU=TboZ^v@wGIliOS{!S2W+9|bgv1H)50Vx
zJ3Cw3U-17R+6MBOQmnVOP9rFR-F`HmrRxXZE5mllB?f@u!KJ)^|DJAn;Jr@)U#4AS
zd?j!5YjOAuPiRO&Ak`s{>9>gxaJ)$asmMRxf?^iD9A{RD&&n#oZU!oXPTGl+CnGv2
zZIIcZOetNdVn|I%u_r}|)YaGT>Az)WVLiDA17}N3)s0ZHd8-c=Cp4{DhRLT
z0u>4nbn#)^-@ff!@Bx9_l2TIO39bapR?>Hu2fQn%P6$UvM`uA{CM0_ZHKOovU;F2K
zqN^vs$I!+WU{a<6d6^8_5E?o<9k$UHX&^*dI{~!li?6zPK8Z_1Hdql@h}J^fTdn2c
zZu&wujZBKskWLFX7yy1R9h==>P
zbJ%r?)goNi$Ka<(5HDRQId6|o*jPxH3!oN)A1l221*a}cuT>bh?z{e-8T-t@Pg@Fh
z8v~I+YZ0oaP5hes0YO0rShHh&Ts(N6qkX7C7Xj_qZ?MXaBNP1ehSN7L$c04>%ou|^
zNO^VV+UZpeunt#Yu17ly?80DYM@B}nk<$_n0{iuD?PX9l*?NuWngA8nB4T1Vk=NkQ
zJGFnVk&smtzoj@@t1gW<9s5W)>yA{4
z#8piQNH{{8*%u_s_%KRq-~uiU#*p@6Fk@HESEfBP|K~TsajY%j%oan?9aiARu#1_VNk-!x!M;nYvI#^Zy
z$n%@$jc(q2GhMc93Ev1cP|KFOowP*nqMZ)|4F`!tAz_*VrDRng$aU<t?c4#=*S{eoB7+|!K(eKp^;xmrpU7Q`s2lLd_t(b4Hvo79dyqLHTh`pH21o|tb`GKPHUDPY$O
zHV=X4hd5Q&+WIvRYz~>H%|jnyR-f^?^pzSiE3M^0oXx%r1?Wf+QGR~LTO1$OVrXm(
zReMdk-`#SJt7SecmjeAJH)1ym5Qhlk)7}$}4rWSoaGdHcLb8v)-vpE>hc>*SDe-!o
zLVPLr%7T>#L}0+M(bdul<%59r6z4^5wRSMt9vv39+Wgj_C8iaDW$n3ExxzUmD##Ur
zyO?cMF`4^66zE^?Yp{|0Fg72z?0)9Mw2xHw{Ruyb+vsy9t*^06j(u?
z`iSp1FJzj>!BiNYJsX5DLLiw*e?b%!Jv4#B&<&i7y8<5}io@}F&h%TrBe|PH_rR}E
zs$Kfuo8Y8x41VA*6V)zq8__^Any|^K)nb9K%L7*He$0)72?IOO0;H)z@Iw~9Dx_?jeLhC;{-9EF$wddzp-De>P-mHQ@l)ie2x(
zp5nZ~trl<1!71mFk@I$x6FD3L55VoMIYi~nkYz*i>`0m$3MfCAem~zJx7v(-BNRJ!
z#{TUM?r=LlC<}SYu{ERJ*U`mPu!6l&jXO!?3KLJOJ7|*zMug9LTnTerQ98u7fKC^=G-&CcCEZV4q>jNAj(2ELU{EfI++^_(^;}J9|24
z0Ba?n%lgN;sbX@GQBjT?Yb%_JzJ*X|ymY>%`Qh_hl{?t&p{J!oPlO|$Kj$U(hNq@?t2vgcXYqg%x;?hJn{6=9;*$
zl5JgtZx0mJL{4ZL)D6e09}r`KoZ41+%HdL05y=0(OcNrnvUWi9tqo>oabg3m_q2gB
zG;+w$n<6-mApw(tUy(E#U2f9Yg3)YYERRwIQkXdZ4U#g0@qcEuX1XMg@CN
zF=Ve)(!kV$eZ{2!?@XG5Rh{1-76d@x5bFRpZ9>5a4h*12HTck5Mdc3gRQNI769rKZs7%FJCbA}*yg7`2!vy%5NIp{5m9eDFq((U4XTusL16eS#gHjZd&YV2ZHGd&iUVstKavuZY@6I}r
zB_6l4J)Jq9NI16b-m^2X=lF!AqzanY#A&iHJ95~npBlGUx=
zn-}6rKJ0WJyeGpWKB*{v;Uh$vnLmHJMMgxlKHhEq{N1mi;8$yFu@n7%Gm+LDF|w}l
zAco4u#bRM(lvd=_flo|SMg*JscO6hpIN$#zTmWb@$B`p>JNSx4V0Jozj&|wl^t)5o
z4S#SWxs?Irig7(SMzULapN%$m!-xwx-A9K62A%OO^&lrfiBh?q@ruqC&apELxtF-Y
z?GJxnv!v~o4z+k{$Duw$@cf;t_GCe@XwRt(&5MYzT?>UX34dC}K;^3%Yx^(q$3P2mC<^FF$
zT^nC}#4j6aaSUJW!)~r~%6ny-=ajBop`QFnqqG3lY!SrA9lw9PU+Ds;nMyVtkl9X2
zSQ{4bTuR+cB7q>dA$&K06y5y~(IMAiL}KJ`AACsaT~#kgqtvFJKH1f=fohcZ~2qcE4ic!@H=s!w$_lwTQLUZt#Ug23M?w_$bo
zWua52iYi~n2eEeErDw(i;RX0G;AH@G@*I_Ah}}B_HwwLva&e#&!o%JBWs1+k#Y_CH
zB0VHRP6jPp1V09sltqj~2WNjEFaX$rph^f;4kCL)At51rc6KW`G2|SKgcaNAnOdQ2
zubv$iti@z^(M71-+yRizA%%tp=&3fq2Nl$|TtwLxunqdL@iXk}>}ICmp1$v^v-#;f
zW~LE)#x6#zcOcjKqo$e&!sE>eDgACB57&q_J`&dz#qN?gb-G9I`nVWSPK%0LKH7zQCirw_|5M7
zbBIgV{NQ%$o*Hui5^*UoSG2j7vTW<@=-i5pQtfz!OslmacI&uA97J4TWB@xg0BRbd
zxUUFIQC_k!Olo1f50i?3d2LD+%h2~`(}7@?fJeo^BN)zOvh$7FLw&kyqcA0Y
z1(cn=HMoQXG4iU`sW2zomiOm>Ss70=}Pn95zUoD>XH>vbMou
zXPqcje2qp)S{C3Nh}bC*lGxv%Rd@e}ZF*hQ;J%mhy8{0{G-0ufq0rEO*U_s0EZlM5
zN6R0l&;jgUzP22rX7eD{E|94P;@k-(B`eUa#or2Zz1)8fl;+f}uRq
zH*CE20siy&7l8yu@;LLKLuo47Tg&$mS?|hb)m+L92jNHz(qRZz3=w0dtP|G9=WV|)
zMFb=AD(nMg5f4{h<@|r;$z1Qv0FaRa*BP_fqaz|xva?SD3`3vWEfJ2jfRF;`C=euy
z;D1jOK8Vml;-vn_iHiyM8^PlNmLvx2Oa~ykETUo_tp}{HyYt4<$Vz|<FF_!Mz5Et~m6NN@;?x)s1_J`CKscGNA?
z4uARbAXge1bcDeth+!gCRd={p=?lUBrzO?!jbJ8%XZ+n!hk6?pf>b`fy$@&Yct3Ui{AKU)8{{5Us(%yoXJex6$oAzNLCwq$h}7ha81PI!Fnbm4x!qG
zOWOV!;J<8ZZ+be*mY^%m;Pmg@{CfA&KtUrqD`9hOj0(AiQ#LgrbT+{GY#PdXxnSa5
zRa@&c-TOA?jC4~54f28X7_=U
z45DrQu-rWC3G-aiI!;Hz;R;2|ogKRy4i$hj=;+}mR~C4?kFqG+U$R+ljbHb+VWnZ_
z5LZTgJ+y5BtR7_8)WJo!!tLH%xbrH*XMCjrJy-wvbB0vYR2L9t_pQAH{v`k|&NutC
z!=s`QDyk#=3^LFN9U1H{L}Cswu%)2l-3rI}10AXf_jS^>;|iU-Bth!g4EX=y2uTxg
za|^gIK%EQ2_9n6RqNrj^O%K1@#*F%mCEHK)QMWBvEg)vH(7YrJlQ}nUTg61(>k?}H
zV5nt_?1e(<2G2SFJ{JF5QhNVZ0Op_ivfqvWU-DlJ6>C$m--tH(LMhTB%z5o|IVzX$
F{0DJmUjqOD

diff --git a/dev/articles/a0_tidysdm_overview_files/figure-html/plot_present_best-1.png b/dev/articles/a0_tidysdm_overview_files/figure-html/plot_present_best-1.png
index 2ac8de7e1332a075e1c96f6ef6fb5c0d22bc6e6c..7c3d508bf7e5d42994eb3fdeabcf004d04c9b5a0 100644
GIT binary patch
literal 62886
zcmdSBWmuHmzcxI>5Yi~!paVz%km@GuL&kwSMc@>pXe=NK=)Rh=B+Kfsi89lyo2v+)xMv
z2Dye0J~3%!A^~ssPami%fp_rlM6odhyb-#o8F@k=%u!b_=-b6z8wi9Af>2V>^L@WD
z<@e6SCgT`;Tx3@5$``4O^YRrD(W`nkA_jR&90hsYAPU@g4JEod0(?9Z6;5>)CY9%U
z!E@Jc-hNg1flbNH=5f46V*525c0vT(10REo8P)>cqOI~p*{R1vQ(n^*>ubEL#oH3g
z+NI2sE-#>W@x#F=|Oq(idf7emu4*om;+vVlI>tf&%8z+tX`@4=6J>=iD
z)`-K{{{EInV+Z;7y1_Y;(0_k>@*eu1>)!}L{uPa*JN|#d!M{d_7=apPY%wjYJV>^s!sEN=up1_g+IQo
z{QC!1?5tf036FWW>g2QP^d)at`!<#6rCiGXe3@R1-77ui)i`xU~EN);Nw|o#XKH$b0shsVgU2>
zf7~7+1BA!WN)nnk3z{y#r-yY>!_m`?#SI0YZOWwPr~ACX;2
z`$z55Yt|6>HYV0|H>N7|L=00GwF5k+QnWUUB+LDTNG@mXdg)t&XpnjkPCny#=ziLlSsN!BeBt&Gl
zfqR`yzUVNU^<)9_-q&22;<;8uHJF@7$h=`NfQ@R-Bes-o=X1f4BNh)`aBJJCJI-z9kfl+nS8qDI?dx?ZM0xj?G
zh-uum8kRl!6$so{^HY+`3%E#$A0h>!JsmC!;tJKwMwtAGw*u&P3q&q$z|);ya`wX?;4o-
zafnU(-cn`pgM%$on;O2_^v10(B^zF@e%;36mzeo(&Y$^+>K`owv~Y7cFw{h^MgK+N
zFLh)jo1b)7xniw68kmIadU26v=e<}SQoR(&N=_8ZT(Yst?B_q4RzM3h#=I}jPc|C2
zTS^T-y(rQxz$cYh-`H6APN}sp@IYX3uUmjs-|%oDL2GZPjXb5Qk;uOV4jjU#C
z9pn*UJIP>dHp*r41qa6}@5yWY*M+V0lyV-~|D+HqqW(u5@@21!7bp-lt?6^^HLm#h
zXHq84&dyiz<$Ln^RYlOI)BAv}hN4>R6E+KD9H_*JU;!eMDuF1K7j@v(#4pC9=
zsn7PKv5e33mMHE5HCElNnS`j#YwYeTma!GYhpCnc@w$vNY5Vf==vD5$ZvEAfw}0k+1==9f!g_+3*1BEh6900?)gHzDi-L
zROrv!UCN4XJxK+zW$YC!yZsHVL6ghsK>mC0afgR#!mmrpzZ92G#0~D(BrZrE-)
ztG_s!SZ~4lKiIdP`dOaqP{$o~ub7%9CcnSXm$Bo%F^JSZ>#3R?i>Q|p&+6jeas;fA
zXHhCVNE#|5cqGxz)jlgN5oRplfxMWKmU6S^w9L#*ZI|DeM}aes`SS<~J<}Y-
zb+2K}N<|huBy4-%6Uw`~3Y6%VIj-#H-hMh-BPo9>042rzQBs3r;z&LquW%GHFKW^
z*FYe=5k3=maBxr=d~urXToR$k-b!xJJiRbP^v}Sh8d6waSQ1i9J(zbv@64_^QF6f_
zQwvN>x**U*oe((hxB)RU2Q$7oaWXSR*?_xZqocv;4_Elw#m8zEC^84h;9S4ln73==
z2GQGk@NSoBG?8Jo-y@57hzOq?#@HF~yeJ9mTX>>3wewPXc09h?qu`pD-)n-?uf*Ef
z*|p2oi#Jt~!lyiVf{Xmb&E*F*L37_Dg+9}io#-qWkEK*2wvg;3{zC<55E%YZezX?w^XIV$je$jfUmNMlP5ef^yQg2
zHid^WndvqiDV@NTRmtPK9Ynq@A>a&>e^Q-s
zWs|Yt4VTMX%(d4&Ojktbf2)Ou#>U3_i>j*Iz-4v^%xFD~O29m-+F9iPl^O`+Wv85m
zRwIUIkYw9e>S^narlRk$1x0@_V(+KT9I$fl*Q10UdX&E3E(4`j7tJyR*#+`&b@B5D
z<9SJP*))BJtA7ey&u!h>qp5A2c$^vi{Z62N^6#+il+LLlBC7oN63QIGi9u@L*x%HU?&qBTboi
z15_wg?c`y=+i(J1zukvh^imO(_e^jn=}DGMXx`P9M0!x)z54WtB2&jz#(ciOB{#d<
z!CFvVonY!SmE_aBZn^=&%7-aw#K3JZ?W%T&8bcREjc1mka(8>oE^86Sih;DA^tj@i
z1pmSrI
zXKw4PgPo`YK;zv)z*EtaLX;*s%rYxU{r}KJ_I2_t9F8tx^
zAt=5X41jFIq>1x_%ORq@%~bD@xtEV)9AEt)jtW#CdkSjAfd9H6n2u?AJQOdiMgon-
zuT@40FI_F^KcgLb;#JbPQB(%VPo0I0k-EHrJ3PEn%nl&j!l2KLY%$bFkm9T!*YUvT
zWba|JIDzCC?l{)x7bIwLbj_iJiHxfqKf3xAdG|r)RLGdUnC0Y2UF&eLiMja5nU`<|
zwyttH(_hvm(7$6BD<%e>%#}5BVA~H-1KJ}h2ywi=iMj`G4!eX%{|Om8LY2#Rtca8?
zmJ)0cB*Ugqu_*n}tP*&P0@$;o#LQ#RZh*#pjt6S;>$%0uZx^LEU5e*0bccLj_PTfE
zim%1Qk{ItDMf1O^_l$>%Xu(4Q#&+dkZ^@B38t$P4!e$^?HhRxbB0Km@p|%
z1M0TM>%nWgUV3C9(W3H!_mpT8NJta%?xBEvehie=y6Q=cK-7%v#=yNZVX^k~&1dNsXC0BIR^`Bpz*uL3D=w
z@YODua70zga4t#fQ^RJ-QTS+oboB++HJMh8HnJ2)U%2p2&tOtj@O{N6?1(no|0tS<
zG%PRp2*MEl6fGA9H2#d(O?f`OT07eE(XDaY(lKtEi^<5(_mPo3ue0+vfP#s-Uwb!L
zfl;X(`UaGXq2s|L8OS87VI!_M?r4=|*_gFtXIyo^#H;bp)EFntKTWv4c%3sG@(07S
z%$y^6eb$jJjvx0gX^u=L%{n?lWVG^$S;}Ud5G$*q^?&R*XgBKl+CLHC%V(bbwM|hl
z;wiN`1=FR-{d;a)2)6y(h`y9Np(Am>Mua5VTedX)CIiCi3Px?~$3v&Wq;S@KI4*XI
z?(s;n%!S-Cx?Y+V9wrgv`WBvVd9`2=wm<-a##I4N{4EpWRn3ACL{R9iZC}WV!C0Z*
zWRo-1+;6jLgW+UcgoTbl${Da&`#{e$Tc=mOVVDP~E+P>u&hL15Nu&&7fYj0$$!^)Q
zjTDXs7JH?$pKEI9A>8|*Z9)>dcJpH(M%R&a2M;ZT8it;2JRFPse0b~A9k&}hkF#|O
zK3(&bt5mFJ7=laPKj1(QU*=C|!M=nwT(q@hzQ8<;#8*mJe9nh(y^CPL1NtRO4P#UD
zznGXeH?o1iXNfGl+{K34vT{jLbzxe#gD&Lf{K|~ATH40sXOMIlR#9-WY|tAO5N06S
zpwTmc*TkIrRdK649Fs;g!55BsL(xnwUiqmfA@2#8`UagedEEAK(qnx28^CA0;ox?}
zDpm3Mm%WZZ#xIAS;v7kkj^0sbT(hx5vS?@}koZI+{Ka}$B5MDsJu7)B$1%stmPWiG
z{%ihOC`JJ}G&>%aa{n`BQB;cG^nGlYDKoskl%TUk$iP2vI%9oq^By!Gh=!_^?=PsTB$<4p|4-DK(}D*S#{5-T~^R&2=;FzHz7{LrIw(j^kF>nD!LqywNQz_%^T4WiGr#op9jnAG^4D3;qY5pgyyArgdL9*
zN|y*kVH8(I9nLrreN|7M{>)Mq?9&OgH~$%Q*VLGY<<$0e;H{l{0>!On%bEyPwwAax
zndL8RKC(&^L(?+^OD~zllzz5x9So9Q1Tqg?=VSH#b)T6Po0ZyF>T-5k*BU8P5tX^j
ze&6SDpH<|wpje^{-6a^2>b%3J%(twFTYrX!fBZu)1i5PK9Ig#{P54kL|4I`naXCw1
z=)~yWgeju*<8h^G%+{Zx83)Ni*a!nN`A#k%$k*=_n~2-8^o1zj#ped|e*4B6YDY*G
zk{#l3D)~AjKKDrfn@+UsD}nr@%1%-WELZ;vEzpA(NdSq_%eTR=X_#?nV092yJWZ%9
z+51WCwsRs@@_-fI);h4!YJbzs8{0a>gxkcuL&qR@^VKwsS!Oz`8KZ#KSn}hSKD0$2
z$>%zB2P-&k7e;SGGYKbb&dFb46LU$CaEDjov0^P9!0jhX5X31F_YMJ*M#ybe5IdPG>D?Z7
z+N|ra6ihz)bO+&&Q-;q%pdW{;U>yIF-m2XnO@I=h^KGnyr_R{3rZM7PzzmfHCyNHd
zFXUR;R(nL6PhI8$*e_`m1KvH1TCqn?4Ba-R2)Z%Xu4i(cZ=Bl0E^cjzYaD-t^CUfD
za9b(p(wkDv|8p7X44f!+iDUCK%t>eX0Wyz08cG4*zA&DXX-xz07)Uo
zp4wpTL1?}5`P!HO;12^tlmw4aJD=IJcDMIjk8FFv&4i2^nzv_i;g<^c*$L_e#U=3ml
zpQTo}|B$_!#@X%r)}?#MU;O3PtD{hiLD-@cjxLNy(NSFkVI+V+Mqc@45UhSe)Sl{+
zXS=gr$_wIh9oSNxu9L4}gJ_X<5iO`qUeX6A=I9BVacwsG>F2CF_bklN?rYqfMq#BU
z7~QoLcylt1aFg;*P;r!;@>|98ee0Sc_RLUBI`phQb|E;#D`K5>h5X4SPLrA--`3-c
zj!8iaY#gq1MK~xK`B@a+B}?7d3&~!Zl=z*g_*UvhgCaZD_{9=cbnLYWyMwNsyTokc
z98LO2c+#>`KQcl70qP@*{GDA5lXB2JfS{zJ@fIEn
zQE7ARLEGHG8Xiu-JIMD3JSM@+UrUtRX9PSgWeMZv`XD~Y1NF6A^hj@^@2q$()X>x-wX68DIM0(Bw$@PdwnY=#t0MhyxdGQ%IVn-iZW=Cpk^
zBWq$E{qn0NS;(z7>&X@*R$bd1@emWW5Nh*9RWEB8eV0p#6}AlZ4?E!1zhn1jQV`3=
z_s<*l7N%T*-x%t4o=$~>$c2K`T!Z`1uYcEyEA<#|{qjUOWi}|ON=7N`1*Y}39FzM5
z{QUKgf$yt8ELMN>@Iimx(B{lMTFsvt4qT~;ewAd%*J<1oDiw_UvG2~&is73=U2f(9A*6vxVa*BAZ8ev;O=RLpdnGo_i8~UZko$5gk!!ac)|HSGa`e7N
zzUjFmf(NcM3In}dI1_gx7Tk3X4AI`oZ~u5e`wJZ&=&QW(X59pp;?*(U)$q><J}yH^sg9!*YS{@z?zg^puXs8w7lMEJW^E?&GBZ!L
zztg6Cf&k-({$v|Z;>TD-hhg3kLdRduOd#$j;=w~Ih>I>rUAdHqyUnSa@3>LlRl7XO
z-wqfcQ)KL|6hR>Kw5dAoxie8J$3x=;yH#5RU4M~5&t!HSA|vG>Slmk(#y!G$LhajI
z@&u9zo=Cpy2-k$_FiN`V{t`#dc#>A4L(uXRfTU0kQ(uZA^M4UcTptzN@!hssxaTL(
zS+#Gz<*M~*GYHO$G?f?pwKd9c<`A_)f@HU{QF7(rD;>wrRU|N_`O*}i9U=P9Pr7b1
z4usD7Nrt$=e_;W*TSh?8(jSAVrHXL|Kx8xqy7To}4w)?ix+=!0<4Gd?nLBa63dE6!
zIih$FFeb%;2L;1>t5Os!->EK=;O9hMjGayL;mleCE$X~47DMMlW&Q}4zu+xqDp)x~
z5rk?%43H$pyoVm>=Ajh%0#Xkw(QXQR`DdLGlUK6e;v~XzNA3q2$B5E+K`O{f%Qz!3
zF0Wi8G1rln?$yZrK~G{jaU~5Tyoih_0>|086ZdU{iOaK~6JC)pAkc~f#?X6|5K}G8
z-E^l=t)arzyi*go!_OQ$+UN)H99@YC7*_q%F1tf_*dUFv045Hre`9SpY_8_N@Q{;G
zj10Q=>2!b+C4l2p0bk`f@Iyj&vfv7XwQ$AX_aDAou|l!3T~b#jYLq-~&a{59HgQ4O9%r2d5ADlHOBo3GK(*7H~x01iw&QyM-hyH-8{_
zZof0IcDR#HRU?2bwLkJlN@UuS@4vfVX*`g?*(3TpmBL(2aMqWjB5Z{M&4SFIx3X|T
zHvIGD8@U0-KXs=-Pk^e0q@jo+X?<##uTSBe68#pX{!{CPz1=IaQ2PSyXW*Qgfrjga
z{_s_O^kbZ&a;U_hZ9I`trel;S6!H;CLLi0zGXYorR)*&a2Wj!!!VnA$LH_>p;fJAh
z8%`zK`+*`m5AY-HbWfK_({OiF;bB%q2#V%(_-M(lSS%|UlZ$@nH?f>eImhj4_F%kS
zbkfo=hfK+wxx(|i3)4dC&Y+vz_7sv=3Yq~+F*WQKQ&UqlZ}6QCnq+Sc=@(oy-FPRz
zc@hylz-Kvg%|R+L#+%@CCq)LNDazUbQ-dNwW*UzuoXb(y23((Wh4kHj{`^q!d+WpB
znOy9_RJqK$&veN{LhFC1d+xr?>Bnohl|Eb?)?rRGNw_N{Pas_>wXvhWk|`^>84q`m
zz6;9rlR|^P(=atPU0upbl|Oy_{znNvdIvQw@sF8nT5cJG$;|C3IHgu=q;=I+6x(Gm
z%3JOx{SW<~dF}~hZE)V{Xa(3?BHc2@67##v_HN!P%rrc`9
zH_%IfUmb|sWXJ&JuyVde7grj4xQQAUODGdMVTSMb@fGP*OSsW|V0CXL!_1(@H7$-M
znZ?`;bq=H}|AFuL5!yt3ZI?f9+fnQoQPi9DrV15bl-6{2_1ybs&Xi_GOE6DR3A$IO
za8Pc^bazK(Q5~Dy{0I|>Eq1UuD2tjgA!#)x(zbsj`7kJK)0I4sFLI-zBK9OuZ#gG`
zU89>|+Kyd=*g1IRp5pk-b>IFtMH-xmBywKj8>iAY_C(oeea&%Oaq*a{GtIRkrfKbD
znQED=er}d72YLT)vays(=(>`n&8pQ0J^kIzkY6w5Ap2qFu(!j76C}QN^XWn#mEaFP
zwvu3=h*0f8#En*Ioejf=UE$w~q2l?~-oG&TA&xB)KIa0h7Ka(q|3cAS_nV~PK
z&VpZBuZ(^t8gWH@X^0=_JrmZc>23JR;-tpg#dBWiff35ydh&CV>^E7AD^RWZ*Z=ku
zQVlks!ZeW~&V$gvf2_F=TlET4HL4O%4b#sX=x?I$z%Bc9QAEfbHvyZCo~Q!_v>(zU
z4=DzV5-pH0NqH%!SgMt5@pe0Gvf&w#nST6M$@05}BmHZkz;7{q>6%hP=GgZPrdPET
zu$R&Cknd`>btH&Mok&!8J2}32h&eBsk`HLZAT@oI&F}d`dgMxcg_xL
z+?fxu!yrFXdPr}=))lSt!XK&}mEh=i@?|vl>tP#}oM!P5bY8f*7LMqOyPqR(Y@7~;
z1{H3q=&(M7@g~8>AMA(Sl5qHnk-VVwrm}@(Cy{Z_4aM^e)OZ1#8P4xZxMi;>e4jsJ
zl^((|{-FI4NWok>h{B$c#lsk!
zIEG)Nx_?LNetC#$M)jav>BOV7O5UjX|MN`CvyD|v|Bt_@^2N5;g_tB;VD*Z;Le2f5NFS3M0c>ijo_YIkE;ljSh+4nh^F8r`ORt8nt9q}
zA&?a{mj?&@k-c_<_!|>5;STzg6NC8L(d_QOzs5L41N{Uiq*cFIJ
zgYe_?f3y3j;_L8b&))3<_f;=0%S((H+!LoAHB8Zb-51a5R#Q=m=qs{td+3hXD+8Q_
zP-gn+@1tIEQdC683MLLVsHaoc`Jn=cs{^PmK{;FQKTJ5oxFrbvR-#?u&S*PV2NTb#
z>}O;`jC0JPsxY4_t%#szrd(Tr9@#X|Bg*fteUXX4@iDwTWhAvjh-QQ@cUqWIFq1Mp
zY9Y<3o2}n;9C_JdN)|JeesN%YP1?-9`u^Je?dsT2IlYyOaav#4{jIlNVP~f<@>;!Z
zFawwK%LGd=cCsm+QvQV&XL9M(amN(g?kHKhb-M3SnJEpDEJ6#?5}RKucjt6ra*HN+
zxw7qpeEM4?KaM8(UHRo?5T5?7;TU>Cb$Dz68N7CVVVWRfzvzUJ%b!DOC^8`86=JC*
zH8ebCy@)aQkD7i`Bk`PFsQ0VdD0=~mwG~k^lg*!3>Fi#UJMq2m1`6jN6jGMigF~&!3WL~B
zAxGE1Ny7)u|LYK9|MRT7bzcwFw>c<+DqD|#;v)@ST-VgUj{W=)BUEooc(*Jh)$1ya
z)VWP%@8on9D(U_s4=Kn56to$aLW3B`(|+(kT47tbr^~jMWIMJ$Tq=hiM+KFJVFE1k
zci)}{&^sGN&8s8fq>5MPP{fvU1h;vwx&dTRrx(}6uZw3{Yrbf1bz7CB*Nu>`JN(MkNB#LcWIuAlCbOM@JY*5Z9Ew$uRGl{(=5tH%9uBIFY
zpai-J(vZI?sQw1jdd=Lf4<^S+PgL`dhGNb%VJX2SZYi75%|MpBS=Ns~?5;T?CycsX
zLz}~P-O-(
z_bflu7%Fi|tc+bW?qHPAi&7DmZG$S{o|)jncj2N}_m;KV51!z$x$tFP;sU4DFMyeX
zld)8hWCMtCZHSuBjnVUuJ&cpc#7tZo?I78Atq^mZ%a~!hm#4T06!n@wc<|dW0o{PY
z5xJb5$H<-1$l5}0joto3icP{@>X*kGep5f+nr=sF%49+BZ(a5u`QW#xYY`PnxujPH
zl~v4V#FI}N$ZTV$Lpv<(8}CQ(<&Ip(sJfE-LLx+4Z&lu1xV*Nxa=aBf{a)rnKk-hK
zmI(G8F;3fVT$GB;1nYP?Ys|MGnz??|(J{X4CGEur@19l{dT;!L7K$CE2{Whr-<4F4
z|0sAduw2RKt+!1wZ>R{$=UO@m#u9Bn>hhqvRKut>HY{s;>(=TN<($hmeO;$oBMN3J
z!!ujt<5>U~Qn`w(U8;?O-Ru@#N76e{REG|c8ZkE2k=o{`q#oIhA6LBvkyJ71-j0XWL-fd;B$spd~
zxPwW0vwq)l}aQ7QPfUN?1-qEd1~&?bnt
z47Y~0QY$9y8iuX1J-gdS-LDj+yX-ikFmHH6b6A4T1JFx+uu6-{&mzv#2kzvT$2G%@
z9{gHOZS1&;h&7cGsuOiDaXUwd5d*LENnM|YJS36s<%=X^2N{WuV=pX^&*R#=zf-4)
z$7RD_e;xCI1D1lnfrVY1B?A1*D`53+fW;aC
ziv@=&A3{q?1|Q=0ayE^0`~D$q;#?FBfHk8QFR)~yP;orpp`U4-z-zn&8wEO5R|~|K
zpc;*ZuNeeVfvn^K%1W8NPa
z7ZD)bXnww?U*nX?Pn($JzFAfIWf|vaghpHjMS!zZ=kH)J+Ct};0)_rtWwTq5em2JT38IaVmJcTSzcdH0*>Jio*o)lyt
z=MzHG2_L;WX%_lh#yTr$D^V#2^FQkL1lrI^jnboa3L^%`nN;m4tuR;7GG%Zr(SlNc
z7X#~J7u*1%YZ^#?%_!(lAKijqclBivINPlHaWxpl-I!5)3q#hyaR}6q)G%hHx<#uDSHTXQ019(*C{RIK=gG&zjV)E5894uyzDm9
zgbaR>j~je`=FyY3DWy-axxTUbmSCv8I(ek@^(l@EoZ`ZBKTV_|Y5&EMvZc-=qsa^F
zo;1_OOmb;klvuWD82L(E5cI%%i0?H~jT6M|o~6xZP_yBgD{lW+ZUwLJ(285^BJ!4?
z(DR`#yEbmX6v6CSR~|B4+Ue?J(BE?88+<%|=08>uesp-|6{O%LCQYkHlXu4gSIrfD
ztfGonjzhmEqqlNz0yaKFi>Y1CFpe6!$Ugc*PFzPcF>C(;)$C;e+&gd=D23AoH18o#(2F_%C#WI9
zQ0_4G<855qP}+aG=^W;8v3YH``0BtPi2mwgV2TKEMBCvXwvBvPEM4z&FpPSQ>Q3vA
zWpcairY!Hw=;mgXehVnqb8xAMY*!Kh1@ydWs5ra?Mya9z*4B4
zKyXP}Pxo#deWZkv+Kc8Jo>_!=3+S#Q^6YdyR{bb*Hvjv?;=O7%+`u2qzu22e+`Vn<6S=v?t2J0I
z;pu4jly1?fPc(CVLe}1#nTb}fqwA}XFFCbF2Ic1x`*GVEC)?rU#k!rr3lXP1-t8-G
zmocsW=sLlna2754oM7m;!CBaF%htPW)5R~2S?3L#J|yD?!tOecOqmFzYey=8Ax=b&
zSO4f>Gy`AEHgvpL+jDX)H>Glmg)I!bK5kqhw+!iSmim@CS{u@?P&ByTS-RRRt`E%j>^FHZm`aFF~PEV
z%*N5D@o9MP3G~)(X5KQ2SU1&h`aSxI_AW=Iw@yeih?GBoRz7$SdXn=Ll|0k9lk|pX
zIu;Z7wfV@h&=9WFiWL^5&3a=Pb66cjfIdPr25*XjnS7U{=D~;g&T04IY_lHa!
zO4`jl+2vjec_V3xi3efbv_CI|D=SctfW_Bh?8{D=UAAPy?8|zAV`Qs>7dBa;m#=Z-KUpL5txAWC}cL5}dVPp#s(`
zT3eo)QYmjVA5U-8%>-Y8&>m*VW|;7+YH5-COnK41p}8}61>bL+x!~XS>kANd8Ts?4
zElTd(63`8NCnlzUuwpT)KLoEgvnj*zLnUhY-4aw5Q!ay-IizE
zslCjS?pGA->$N960dhmGW$V1t6$WTTXcldrzRv$9N;pDywcmV9b#ts_ikUz6a#qM?+y!&c
z!EY14#iT0~aua|d*nN9Rc-Z)r!G|PN#}OuN6Y0#?8g$JMBUi)z%zPqJT4j6$f0H+M
zc&OAN{jQw7d4rJ@?vQfA#}WQDy7BPOrR7`W9ZuWVCJZbD+9wyp2Fs0(*D4h+KMcby
z`lU9uP0n>OE+tMS%m8m$RgO;+%tw7YcO4AMxY`7FSxS#0`;
z(Ty>zc2%*Jir2W#B_&NH!j6@6oOY@P`!3=!Iqqh0|Gw{|DSdJ#lg8VuNB5JvN6e-y
z-UPHIqs|92%}I+Jz5O=1=KDvGa;=7qAH^#7J>6JWYsWcqVAkU>mlgY_@?NsQQ}W-}
z>G(d&oPVig-jaOr<8$2Hqtdz7q2T*R)Hh?TfN7lswrt#{bl@uvfP4nnLI7SCU(HMK
z1;iAU&lOYN6QpXI<$$MlH^_ev|DsoFdjZf0Slv8Y=9#zAiMpC&;^6^Be)~)AgW9U@
zheHPY;jHHt@~$^+-d<6eK)Ejf@8`ysJ520b=B6Tg91?8~|Ch(M<{wz3y~Y5U^6ZnD
zbnjq(?=$W9+-Kwx|8w#H`7&tzGGgVdevoAPEu}(h{+lmy`TxQf`KLaJA?u330g8&)
zuQ{4EaRr&tGTvPmO4{E6X$d+CloFsaiq=2nf6D#ej1i-hAlZXQRV2SfC!Psej1IF$
zF@0-T&g`CS@JtnRW$8}7V+ANYOrF2)Q6CRYP4#^0VCh~=G4FkBVA_u0$`CFUE&CVU
zT{Yt63yKiR+(qHCLJB%h&St_3I!jRo(nn
zfL!w4YuLzZ%p6!9us9s_KSI59Zc{+ezdE_HegTKJ8`J!fhTr7pR{{f8STMl$crGRx
zcmUP+Scq2@wEFSS;N}6aUqGli-s@FX9sXH@UBBYirpbjHKuW
z4iwW+B$*Y&^R~#-w;UReVTA}sUwo2r`UEBu$q}8KmZQ149rI{aNHc9(GUn0wL;a=;
zoe~Cj$l%08x1HRXQSF3_6qz_W^tu=*H)-xX`3@lWZGfuL188Q3pK1Y;XQOI+=xScB
zLF>kRMpZA5fo~|Pn*qwi8%vlWWJh)qDEpYm>{N*RmP0gT37l
zDCx%LMnO@p23jac71bI`{hpP4SdC)F?%o(YtMAYBbj$9((MLJnLYtWX2RY^Ut1Lah
zV|!qJdZYDpsA3e*moO`;a!-!Aia|ZADSKjlHQSMvBN4ztn$(-f0(hdw6#}Lwe8Q$$
z34#Tyrnu=iAD&ohueO%`qDHBG%fjL(CpK*Pp&ijKXiC)gB@s~FB31!Uta|ILROG&;
zbcCcsVlY|PqQ}DiiT1OYLAqOHpMRN~-&s5|sg1i3{ua#BE8a?8
zE#2k$UP`NVpUm+>Le{x;+n1T?x++^jFlcwpePOSgXC0z#U2r
zdxO4NTos3omXCxnDrXTK`_O)3lvh}d4~!hDSbzp17@+H)m|&#ZC=>;4DH=c#deY?U
z-oBp9Z`$QhkntlAkx;)@T+%fR*om~Q7-g5nO;NLpH3LsTbrTUj=N<>HB~>Os^mxjL
z6@<8ewzmeZ4vi-IjKn5eRVq;`?Gul<#fzzUVh-^5_7zcEcvqQl>wCjuqwBW=GOEO`g`cqfM0R3G@8+E5AVv~0*
zlgay6r!LH!M!e3LA1zWUv$H7XE88$m%zl^s*+aYXptorv%psEO_U2sM9uAMDY_x{U
zPqqtQc;l6p8~vui+^DlZ>j+=--)hOT)mYBV0tqKoWufxmbzlC&!-yfTkuAcEbUI&t
zyr$YE(HU8LgWX8lwl)3B58m2#7H6Iy#@9u36@e}!(;gZcfbM8s2
z3Cmz;p>s3Cd5+(dK@?;xaSvT)jsB3%7^d5k!okZW3u)q>=+V|GPdQ7CbHPE3tLyapPdla
ze|%JiCPbd?YFof6C3YCl8sdI+SEV7SC5RaqAVYhA%;quSTnF7*mcyn3cw_F}j+E7}C
z_jpl`^CPeP{nI?cx5ap>HQzqW(rrnrDi7VyRZkJI&aW{@AOSR%%9csD(pjR6Kn8$`
zwt`!#uC&eRqo+Q*2xO}kvRqP?u@m<6IzICRUh>IRztQ5?0R%Zf=i&wuI6c5fg&J1d
zl1ALOlsDAlRbwcRCo$#ap(V>7CS`&J-pM{HLwT=~YY)GHLsbgp5`OJruJ9kaT~{aqDiK}v
z00?zT&%?%`2Dd_eU%gWyWbIq)vzQ}1eVh@!qA_CMnV;k}zq=9-gWxhojsiE
z#)vcsDY^oc8Dswnlr&BZ=Zib<(zw}l!YA2I~8_7f|iG*Mxw^|O$QlyP2?lo?wdgjVt+-AMQMyHA6)_ATM)_QYj+<@7PKpAnJ1P+TS{)*
z$-Z{kFS^ZHbE|1Z6dq_CsaMFog`>HX2wKSBlLTJJ(10Tbo5?=AKNRI;Xi9kVYaYKl
zZlbWL+)b?;(vMGH_>iM@NnA5?cCCrr@N2BjWJ2*`Tw{UKlys^?05r*S=~oUQ1u2rt
z2-~L<^Vf$0COIgy02LfNXc2b-z(+0
zR#f1zoZ%B&*kctBa1iwQ30!ZFK|g;4cFxtgW;|4SlhEf<0MVBzy~BZ?COQmZCybF*
z7zno)+;K;1pF1upT*ZNd(!^d
zAt}mvdEXCYR7wCn-ofm{M9KN=bg2dq8dv{xlaB>~B-j_cFiT>so$F@DlEIhzSwbK~
zwXA7)bQ`zg#_-69D!4O9BvO0^knfqi2DM8~r7GWCfJ)-m)ytq|kNPTY9x^bOL5se%
z1MQK2;>#h!1HlAe{}6+d0J3LVRndm|I|YRVh7WI0X}}3@noVI7ekdV1HjXtKOoa}h
zbvO^yw$k5O<5iD9qHv4{cMYX*vR36Z9q4L_5&a1S!O%&af#lbyE!2JFtjASlaFZ8G
zfznoG{<~U8dF!SBG)P|`mo|e<0e@V86jG4szg8K0d^Us4yvn;lSEEt3gyC(!SnG)f
z=zY9Q^O8IL{q}DiUJ-m)lI;8NAFMGO9ykV}KF%-23L$pf6fG_sk&kkz%b@)5)Pj|J
zqCK1qX>h7jI=7L#M-vYQ!q+sBgbiYeCbaRmZmzddjaO^nvwcs{o+vT=8k;*iPRL9{
z%l*3`8MV<&#>u`@H;EK$*^Pk&0ufg{Ia?G6p%0}OvfW7=X|nx!cvXIXSueK&4C7Mc
zx>(TM%z0$dllFh8ddq+)yEbZcX6PTuP6*l=ne#
zGf#Dm?l_>ccZt*S=RhO{K&#-s)B7w1319A|J$?FTZs|JJp|svwFw0o@%U?t)dTb$D
z=fRF128jUgJH%&QjgN;2h%uqI5d?u#7k)t5z!9BCV_J;camK>{5q#cd3s~rY*uY?
z)v_jAOpW5)NC*6;-_TBxa=i*jE+TY-f5cUy9KpJc`Qw!mATcuEE~$&g<kvFxlTJSJcu`3{B1Ve`vs`71yw?A%n{lPMQZZgLS8M
zC|L(xo^h%DYyy+|k1eD?hBf*D9K~#8{Hl9Bm88EQskVK`od^^)Zd#DC?HLjN(p2WuQHtSh(9z!^
z_VFv_xzRh1ndog2)^Ji;T&7;-&sOFc85y6&ta2&8d6T78Xvwr4UNZ1CKYqT}WEHwK^%ukWjISsEPujLi7#Qm@aOAbl-z
zx-(@1{@JFR>r1rq&(&36bab?e#`W*wU(Tk7<=|Z1k43z9sV*)qJ{NxfE{jh<5H{Gz
zL7`W{+z9{gth!+e&>`|*JIzN(;keLQKO}~KUp(ZGZ6{@Z618IJEP`u=qWaGyMfdhpGHwN9^1dvwu`^J+V?B*rtAIqu1JIhm+Jh0iy*4qP%RkbqqrclvM#WS
zOw1}2(l)GmZ0N@BAehHEbNJv(#nG9OiS;1}9ReP1e^I=EEdxr7TZHdJgDalzTS
zJ79HxgKVcD_(y9~sgUk3WK8u6cJ1Xb|2-QWvo94AdnH-z@6$j3eziFgIPzdJax6%v
zp<%>%Kq;~N85eZC!a@-=RlD9x2BeF5aiD9;EvvFt)3d-4koe?Ig@ERWN}4iTw5!=!
zfZ*aWTh&^KJb{*MD%{{Ft^{1A0dowKiX(|H!5bOL*`UJVt?|zUv
zqI0TCy!hVX`w@q_eeESH7NU2+{g;irm12)~x1F~Rygz8Vki+e+czTTSO}3?@vX63a
zl9H33FE^N$)qbtj(AB+-7HC=RjH8nZq)O-to7(vysP=Tsaxhy|YiR7IZutu6(=hQA
zo3#dS4VeX<>TF$ks-tyCv}>8jSZ`PiBgr4sVmh)Mh#`@i)F>hI<{w^Sx!yT6SSRvM
zJd1bg?)cKAU>;48rj!)XTKC7m9XR6yFwa@+jV{_Yx^Og!-hF5f{-M_7RZTWWiref+
zBiNcvOdVo9j6iLhhv0ocUs!p3rD{ylHle9^%?3B;KqN`O-kq({yU2xZzmCOseG8nf
zNTB|nIzQ03i6Ej?sIneFm^O=ne)9ZgS=+jm_xi?0>UERLQp;PnfZxBkYWp8*Cf~DS
zw7q(m{p^XoMBeMWuT$Zaun-&uY$+M1))rWLjLPIy%E4T%4Qvx8jNy}y3>2gIGn0pP
zP?%IljOb0ejbJm=fKEl!b0fSShx}-GGvJOQib?OCB(Tk;4iH*)=r)>`@IHnw4M8*Q
zOn-Bo0j@DrI0`z|^%=
zX+@BHPc7O$p34yY@L-Vlyy{FZ=-I1XV(`u`Dd8-wTfvucQf_r!{*KsK7c4rAy#4By
z0c-=S0Alt!>VhU+-m%z@Un@nHBsKOgt1Am-@~v+rkJ%8OfrPsW=D~+a(AdX1|kiEoNs%?
z*8?w1O${{KzyMi=>#}S-qu%;efnBA~zNxAI7Tau%6Rp?k<|C)scY~{-*tIy@omt!5
z#LzT01`}HjKc~tVfre5IU0>Q7?B`;$I690vOqG7l&D}L}Pv~k7#lSfSvPfV`?d3RL
ziF~41f^FhaAf=3Q^OXY>xzg3kVQ!kenb)T-gurQ@)61aA=g9HTCx3Bm_%Z1vhG1t8
ztaM6ZV;xgNY(kE0i5mtB$g6?m1i1_bLsZ3xFKe=O~{l{aeB}g@kZOOHrh^Z_&
zG4We>A`7(o1PQK+cCju|JFjcK@p!Rb0&thl!NV{3EYVL~jgF2|Ne4^hUMHY2h03Zb
zKEkk*6Hj%~^;=SZPoASe1~E_ECF53*9svoa{FC23$?Rh_PDYiLmAr%)?Yv5=sw~37
zX##^HVQBovX|Cpp(9QpTCSLBRFW1m>LG_BmuVdC%@pb*oVnU%=@GZo~#LXMS$ukjq
zgX{!6PFb#uMhYqu@*6gedM{%82PSnk8{cH=;tY@McE>mn$SBBnAlQ7=y4v+L@p82$+GdR{E!!V
zZ%ROi;U0P>6Vyu8*lbIFVel|#ILH^s5NN3`UhRPz_(N`L@+sCVl<^}+HF0igM9!;O
zHMLs3x3oGr|3y*9L;vQ_YOzG^N{d4zP=y4B0U*3&_~#PH7TNmc?Cv^(@&IQs@K_D4
zY_;+u<^ebNM!&$2<#6ufdCxJm@e+e%vyi_++aO349)m9U5yKo43KCHA&vh0l%$*pX|>PPME2(IR<7{`Jx@0UqGOzuP@)E(Hq_JKlwQl7EhnN
znl&zeeVc8
zU`=jnk|bU>gs?2!5AUCs#)qYaUZl#gHI8XWOXgXo&FxwL9R5g1FD7XD^yd0+d;9`W
z&iG={Xv~dG!qAWU7ADupY1%aHPWK@;mJldODYgdx{aUtaS@eAD-ZMj$U5IYjLE}@b
z=i&?$k9Gb^$o>rPszo?0CFG_`Zb?y0v}N?AZ;(k{tX5IrwiJb;tsor1S~QEJ#423`
zA%DPRkOtqA3h}95!pRneKZ&`$Wl~RR75D0Qe&)k{c`gh4_-&J9vTvWFHN_KO&)GAW
z(;o06Nz_A7L2(sj`7iU=T_q5E>m>O}itNvX=01eHU^#m@Uit#BQms+(c<9Hll9c@>
zyV_3Lz4qZif!lqpzfU}y>-1Z+#_KIC)K=3K)V-QN(rl&de%7l3G_{jj21ARFhts^3
zr;FF=Te=#S(Z6%OB5Fl;bo!_u2~!PxhW^(Bh8Bq_U+&!LYfTo6yL=>Gt{Q~PFARp+LNp2c6;40kH5u7|q#^gI7L9t+=G=#<
zoPMaH-W56|+d+-!>|7A+;*w>1C-w1av~C+AC6=b?Hx!J8Sa)rRhcvxcESA#+=%s={sAv2i85l{${(1W#vhw|E!$pr7ZgEm9gF`;azLY
z_ZUMld4sQfX@s5ofi#?mzu;YrBs{{$PAu0<<+2ul08)hL><~M1(5QYH*qB6tn7vR!
z{xO418g!IA=8~qR{&w!IgHx#)^?)8*Q#g2x>|a<|R)#6DKJ*iedH0rsQYP1V2h>~N
zLF(AObbTgF6>0cO2>)CFxfFlrT*gC&hj*$IQ_x6Uzf&>kY6cdVPu&PP=Xzx^Z3QWu
ziF655q501sIGFJ6CYG#?a6Xd-DQX~S>;3>@O4xdNnfM=64PJhmqB59Lp{-z_i^NJf
zh)mgc>g0)Au4tzY4}QMcw<=18wkq5gPyX-WY8%1|)@A5c8}nPA>k*(>vpn#+{ExGb
zygLr2mj$5;<|Y%Kl=k&G|Cz$GmLWp$)_dd`2AJ7Cy~NVg7j=vMy~kk9hSB^flHR*k
zy{w9X3Qpx)q(b^pK??#gcm<9har6%G?rWHa~l$+CCw
zxH{HU%eDy@Q7}QN=VlDJeGyFX2>hy!buYK(_0p^DGEW$iTxC)3-&e85wpp1oBoyM?
zu*f?q!IVB>-i)d#Lp~-+H^VgqS9u~)RFd%cHoZ2(@zh-}_!;8Mf&eqsn2H`s=!D!T
zqiu`EtynAWb8T*tAv?qd+R9$}DGn;gB`ONn`#tnzwFU9x?A?~nWYl+TpbZyl&tOHH3Ua0=Yid1-!JtO<^P{!np<15Ad9`wE+rvR!78@!>^kDM(H7SwF-Z2DIYg|jHJ
z*e1rZLRp`^;(@YGNC#Jjy0w|XKfE&jCF{f(V$ic+49|GS77|DUor2}82n@IrLtS#o
zd9TeJH}kw_w=qsI;vxGH)Hb-w#hDVog6HUZIZ$?}gpR^Y<^L`SHK-shS;6H#vBW9o
zwTF`AlgljSdyl9n>YRGY39)0JllzkCKyTTKA8@)#y1t;>Y@qd}o2FQ+{M*)t_-tL9
zhlHzRNXc_8i^U?(L@Dd2Y^~f%%5Xni9nNUF$9|)!_-B;g`M|G8N(5&%nv6Ysn{eE{
zz?+GC3Aai9U@f6lFEmvqD}A6O_Kr>>1?R=;zLB;|PNQ$8g(xq^O1llx|fN5=T0e)U@l@aM7Pu3#>f)1SbD;>
zf22_|t$clJTI4ojJ6}@9G(CMuQ#=ogySfkaPd>SlcWwEde~;uA$6AfXco#Y*KsR1$+{Kxn_2npzu1YH
zSb~?k*HtTE(H@I@AK_F_T_5WxS&1xM_5}~Btib`#b0r;~-@C1uB73P7_tC;GZQwjd
zi>?@ZJ44Ikwuq{&WvY)ck)t^tU)SZz|{M>TSYYuVM%5Ut6d{=9$6_|qcl9qR$D|22ZX
z5AFDvp$
zoNDg;f~`~*+x}^Ote@B&08RtZ@^bmiiC;bFXpa11h62fz*dZkO~rsJk+NUT8S
z_`%sM#mW2Qa9nm?=vvhJj*bprTMEMEcDw7#iD%5{xbFYp17!ANDMhGyfW8a?#-livw!y*kA?an9AsJWY>`d*f7brY4{v(PEQBZ_FOv*smgI`Q
zdi}yHTz%XU@*4vTE4+!ci=X{r&vO7p79BE;3p}OOKHBK#?HcAItbS_$BC>BRG*PAz
zejEZJc3^172qYi`Viuga1P9XQ50O1y7AWnLKP=UCEfr)$bi2Nd}7*PsJl=hr3B~~ncTXdYPj!LJV!Zv?k6|=JtgI-15`xGWM73&n!
zApOsiqVFFjsfY(&I>lyoB-*}Bk@w&QYFVA2m^*p3B+KUZU9zG<9cd94V>fyuJBiSQmSB5SJVIq-j&I
zU)Y(Q=XL+Sk(r|>9m4NwEffd55E1&QHj5!DpVvs*HU_fxOkM~lvcZF~y=NoMl-BRT
z)#Ze~O*-9p`o|{h!%DFRp)HW$$3g|AF|&_Lgh#Io(5KG~WwU_c{{IgjFBjA)@eC6S
z+msVK_sFvxJKyxFW^`Q7G&2n2G&`+{=lLIY$Pu6lMB=#qS@FvEozoTfde_DU9m$k*
zUPvuQ)dTfxkAJtXyMJM?f1{~`Zvi+{gCp8!M`cC7wChKzEuNunL
z(|A=9_aX~~QWHP>-RuNDEISs4QPHSM^uvnxgo3&_$MKJU&Dc_}_S`&kDT#HOe5~NO
zL_%%4bGaK6=0EfyO?aMu&oewy^oA#K!CCl6<`6qxpR2WWj{czE=3ow5VHpVIitkQW
zgbn713k06KmbUz{A01`ZNc3$smAX2RL$@_<^O*L7+ibhoBnsG2t3W{Lv)2w)OIp-h
z5Otrau44}WxMS82R9S5o2*q%8m?(;tpc8P5%tM=ZSCr1!4llo30g-4l9}`1n63zt94T442O}=&hh3?jh+LiRXpt>yt*s-aU_xJS)kWBehLo
z)>PPI1!`fgX5*VM66k5Zh~_=l3~NURZCE#^b#CpG%inDYWCNTc!o%b`CZ6P0J&Y97
zkU+vFyg=gJ$Yr#W(g?Xum0?m
zdHx&@wdzZC1A;_P1kWrIBs)hxs}>nl-2-qSi?lRj*;F5Z`>2GS=^(WW-n2VYWeMN7
zqO!GtJ*M_j%0NU#MO{gdN!C*3WcTIS0@ZN_*&p@2=Y|AhY`l)LlQ&=+azWtVH6hR>
z%3QUg<)zoZvsPK!7AM~#ul~;?is)9d0k2FcQ;~iQ2zC!RI9`G(8?Bmpa+S(uRB8SV
zc64-<4hUFTkDT&AyQZe|8W1z_+d!{DrOdQhWoW3cZxyH@+I)M3#i?HoulLw=2hg5;
zhz0XIx&(73S*24<(p+-x!jI&Sc_3r(8w_qHZ%G$I?WDCw+Id}Ow_V8&L^KQ6BpSuv
zIK^7K-+qLVKq_&80cOi?iQMWE{r8lS;kTwSy0-|m$=jj|Z9$t4(1jpW;@*z0`y4W4tZqL)>!p67((LNLi!`I^p3;NrUT%VTjRjc7w^5?h-6-pty4e@Q
zYMA+j`+$kyU!d}fm)7^=bjoZf?@7#kj+vfQ(DMMeNg`luj(k?VGblObzd7cc#2~|5
z1e{lLl#26J^lXGANp)k|FY*e?whs@?l&csgjBKQa8SA1eZGKJ4aE+@Qi>Xh=R`of1
zY~8@rR`~v_5)&hnxS*DAGbQ2P`-?=R-Ve`cgtW(o&`3v2jFS^y$Wae_mDi4LXDoF)
zfQ3wcRnAsB2mqR|LL80GdLJ$uh;Esj(6MqnU%YcR)D@xjhup`AoGRH1>hy3!b;{oP
zB)(G4i-q6Eo^cmK5P$oQCofwE&XFdS5C3_2Bph_w*WKBk!0z|u49x#h
zy?`|b{3W0oJL@Uu!-?5#apNh=&4t|Ey}iG+we?v#K!U*t?=HOBVXE@wk7)c&MiE!|
zXVo-!R2vlBV#hdY2lQ=FP`ZmgNo09ut^;l|{$kzDi
z(hsrz;zM}7I+r=2l~Hw<;m^$*l=})l!M`dxu`LkquBI8U_(jaRY!zHlH@-49re-sq
z{vips)qHQ_3yW>*H8*wB50MFpiHT6nS)BXnD=U?q`Q8t`(A_xD4v++bGGftLw7zcC~EiU4e*3;uhmM>h*oww*3^c+fFC4afOU-Kq-Ut8UDGs@6y
z#>n3Yr(SUXhI!|*U&39+;r{W#&B=;q3)95k^4!DtISm`8|Au;B`Zt~528xmCxW?EUYnX4RPAa$IURb2sivhi1uLDH&>x3Pj
zCfjr6i79|+1J!SpI&oNCZr?uTWnpR8JskpPS-+lY1UUylwe5VJ+m;o$7#rZs*`=jF
zT>ffI;IrsF*e)(paHn|r{X)o5Hhj4l!msw6TqaaXPRM!kPzuR>f4J;X0yXEgBT97q
z*9(%|OeGB*1+t|z5=8VT$ARg4G6zH$|CJZyss&OqEeta15>L=P4v0DM;OiVgR~Jcg
zIbvRwLT9}x51|t{-O`}8jDA=OK><@P8y)&Q7<_{N;+r&-6?SFLawbyF-F<-t{z;BS
zh&m)VL8bENJ*zw&`Z{G6Zu&Ybzs_4||D^P|=N$y5b8D;PxggCWM9_XY}?%}z=UtqA-nLFmJs|uZi
z_mif9fQRvg!%5*k?-$By1nXWOelAGZjso;$OmjfCr{tCnJm&>b6ARV*u&l(@PlU^;
z1{2K+*qx^iG}twAX~sgQ((U)6R|YN;Oqpcg(zkK`bUyq=QNmFuc_tQ>V||>SvQDQh
z{iztPE<=kVG#9b=%arrK`OgVXs}^8tBDtX$b-xz_-0IOlNX+4Cm&et)8>Gf@MixYy
z`<$F>VCMvf+RyU<01l$<<`n@q!qotTZPm0mubs&_FaeUrEg$OmB}yU71Ekp
zG$U^~(mF})CW)X)E8B5X&zc@{=c29MQD@kF0h7~6AnPK!kzlbO-fBmr_`
z#i93-etVTXwJ9A5ZHrh?lv1dS*dh
zc09RAW>7+ZwZ!2iXbvqCv=E1Vd}L8iH;s8E+<)o-`K{^p@FEa}%W;wPQ8Z06I#jex
zQQJ{}ftpI;=iJ@!@~wHcgmp?*9+xG0lqHxVm}b88EOw)fg2j>s|=2p^Us#{
zYkjqP#RLY&g@zOWxkiY3YyimGyTNno`@wQM8oL0llq_y8_c6vJm&JadCZ7Q?Qjk8a
z4}X*s1Y2$ZpveES1Gm9@k0#%UOcY%jteZhuRohtQpyGQT42eVW4hn=+OPkX1OwKc!vG;ahE!SCfFdvtcsWdJK!Hq<8i
z*~P?N_69j`XU-Q-OZCc7s+xHE%{H|sx#k>CDegJJK~USNnmN}2C&vRX$+OWb7gDi{
zRSzm(hLrn98vP|0)))>~gQ^$}Fg@}X`)-0JJ$L*Pv0jX8IPyLD_hr*dz4Nt%pVAH$5o
zw$N>*vie_P{?!sMorp_C{qTgAS3|&?co<_syt`MW&BB7APYW+Y2vg(wTpa(YESozL
z$M{V2W3sf=y#o?$Hf=dt56`QI6SqwZg4yWG94N48%P4+?3HdfDil#%;UH5jDq>>x)A7u8-011xFT8_VOI<
z0UQaJ03@e+Ke8P;37%p`~k
zCVO5@$`l_i!p>qh8O|48)=v!~d~hL(Q$5gJ+U7Jbpp_!u@MkuXlKHWTFJIHyZO@Rhs3uwFC$Vl~
zuyTep@AFB;48gUsSlfkP_RFPmHaju;k!Mp3ak@o0+
z{STE&41L@_cq;@ec#|IM46>A$Br`>^REA}Yh|XMWV?yED*Xw!3?Jy_~co5ky*2@H-
zJejkOi`uH%F5AepW&0tSxg0)&?15z;#M*q#9~?;9`&4-5`t_V*6vro}>%N~DzS0==
zdp-5H(Od7Ek8!XXvmD=Xf&-D)*Ny$JE7vviVjIs|*9KGl%D4AjIdflqF~zB~9<{k@
z3A#K8+gdD}$=siej^UE)&sRL@6!Y))FS*)F<%1Ml!Wa3xDw_%xgRC3A^pZo{|L_&8
z2;Qg*b_x*hSm6w0W^q|aT;6er`*Ema_`*({r<`~+@cNL>$d=lof!HC=ipqarMK|X>
z$Eu$-uGJ0B9QUSEa^SR+Tvq#*KGs^t5H+;mE%DN35uc_`WyrQCey9(&$*|?BC!nTfwL^7o
z;MG;H%xX4UhYLeOOam^g2KOh5-P!K}D`pi*=#n$+iN{q}gMWc5p
zcn4njGHK5!?yQx_f%b%tVbWXlH-c_B>dr|r%e@1gcU=M_s*korB9K=Vy{qdOV}dK;
zN;>ySf|Yqrx<~S#UhJ5yiZcQi_5DQ>6Lif8w(&LjD}bO*=iYDr5si(tGNDg4ms#EnjTDA?p+xX55}pBe0y
zZ6y+L|AAG*WwQ>SJX-a^7}Bih1#k^9Qe!9xk<+qkXd!SNBC~@V&mx~BUNH5$ZhV8w
z=)k`@J~#|r@pU}oXNAWmvFWJ)-^MJ+Ct%~X)E{hEYT&3I#tS@TEZsO&b8->!=yC}S1IF1v|bWuECP#^#E$)<4_R>gX1=tH_uj
zpBhCwFI^S{X2V_R{(tW*oB3m7d`Ilm*HJ}8^KsX@KVKv4F-%&{3m%nvJVLtLmMJ(Y
z(prQN_U8qD4!@(X=l+Mdjy@pexvX|xj`;FX-*TGSD-+xeK~#u&Y_1^QxHIOiF$@dm
zd%{9hfDd=;$tcy3KKcQq%BEuG_Pjk|-T$9PDEh92)27T{;Od;Nv{t2tB7N(zyQ}%E
zf$E&BNg=MzRu#EOB+^g}>nHX+RO0dZ#<&+eOK9_e{s8%;{~78-o6-Oug%T&@VFORi
zYZ|}Fm6C+7ohox7iC&u3+lCfepJt$vjhR-F%aeVv{=fBYo+L2R<_YOmX^J0ZXkIDu
zqO0B@ENhEg>8Ii%bo}P0H+!qI?APt7Cf{hSPk)VsQI8cY^S7NuoQH974rjLdnb+!O
zYqd9sre~B*q54j2`v+1!3+tY7e-X)-S&bSiPE&hi()D%atM5rKR~*I{!B^3zonoVH
z{GI*f-7N3U{IZ#P~p2@*T}p!_Le=O9(#vY-E3m_0l)8?=n=Cql=h
z9L`hWqH+Ig>L-OLm~z0c>fqNh(&OG+0dPl9Q5+w8iW;w`1ceumw;@F04~*C`jUCsH|Gt{l*V8km*X-u4apz@;03;IGAgBFyf#_{`Z)Ia;Q^04h8K6LfoEB6~l168h
zw(1%X>Iea!@&EVkVrt^HeynjMDIr}lb_a?)ID(aY8#3dgUsi9saigN)$4zZZxUFCN
zHW?9^N&B~o02fzS(T$U7rDNXt7~k993vGzZpFU0F^@sNS>&}ZFlRcEDia=Mi>FsTp
zAThq$gWStQI(tq$(b)_yrgMj~z}p^C+_0P{m72%DbP+Ds+%3g@M;XpcHuLw7LTyDO
zaH>q-RU$AobzHU>wv^>Hekmq;0sxwH5$nvZV-F@(F6tdH&R;r)m=>zzI=DY9*?l@W
zD=|oub@*+%$T^zTG*ZPp+x8fLV1=Iu{e0^pl2FTBe~9QFE0#ydCjgp-*cK%|cpLC=`aEchL)b8Ur>(3KqvrOadbO3}v^1Lv|R)$z%_M$IAaflvknGRu5Io>KTO
zep%SkP!`aOUy|_$k#eO5etZd?3-xM_25A_<@&y5}v<54A+~
ze>dM;7>iOyvkkh*%kPecsw1}P=yOIwtfp}!@aXUF!M9!C
zEMPh+cx}jQSLy?dNgbK3w$G0`gW?W)7(ZAcS|kc_vdsW5!ku~W@mN&Zb9eIZ-#~i2mH>=S3om;fr<=EJugx*~e@-)=6)tNVZ5VN?C;J;y
z1w$df_4I;ooSetx7?BQvrC`#88Aey*PlPv!x#Dv`Z=HviRm?IYeZd2Q3oGmDj&8y1
za$kIyehd7Q7zom_Rd8$sGG`)qlNQ1DOfUb>(a+h)*(ljsk)Yi79(hC1VD{ZOGeVDm<>qPjY9VYWMdg2WLnfQX`d
z&PU$j-%a#ng=+USKwI;Ya6g`V-yx`7>&Lj#=GT?7_cKuZ&O<8zH@uk$mZve_
zj&*FCntrt<+k79u&7d(;(@k)P+Y(@aOWR7D+lrxw)Y9|(+;{97&vj?3COt@fm05ndD$j@UNd-%!w=IQY0ZtL2L_E^Bazw(2
zeL-y5rn%z1b&6H2Pt~G+!?j1JN?$s$;%QBCpS|=Lze1y#3_)|6T@_+j%-Rgas2^Fk
zI=L{>+;ws-5GUAtnx^1QzeAO_VRXCJE4$d*=*!1Z;w}2oRYON=3+t_gn#I%aE|jjk
zB5+qlN*F&mR*E}BNzSQLx|QYFf@lnkeID>;pyqnA5TBKew8YbNyeqF%Pkh8KdCG~Z
z^9`9VlZJa38A%TAn3E%?693(S`(0@e_iQSjLL_HJca_?EiHy8F<_Kc?UO?bf8FHDa
zWCQbScX@ac(5+3ov3mgYwRYGA-D+O&kPzK6Q?+7UtEHzl*4Cq-I}7j_hQD!d72UT1
z?Z^J2Vj{wEBX9Qic`q{Wfw2UbIRMHjxyy8lZ?h=IW10hYe@)kKws*f;Z?4^YKFFgf
zUfLknP%+QT#0nt@#JN&fiwnC63w}Ki0$(L#V1G9G@I|jUO`1W+ptbpjxO2u8q5qIM
z8;>KKIHdE2F{N6r&+hcM3Jc_g)m+WDv{xi_BBXG@M_-zpHZ4m7OL3{;SPKWB$hls45n%G+!YIVh%S(EkGJtV~
zxgmz4qNF{0KhiDSjr1z&h>_w?3}g127RV-00)-
z=WLJm2Uipb#PZJ)@pH+m&|L^oVhNHfyi=%Twy;owQLIY(Jd!$uzg$^h@(!b|M$ZEZ
z+gGPf75Ox-;s=Dwv^v5N=V7WLj3%5wrHfz%ZWJAgCfAykVnUlp=VP^|Kuf~FpUP$Sq1e&|r>o1$ri
z7)>E$2=*I_5!!-Se@dY;I94?4hcOW=o-K)BRgv&WtJaDtaP2#3z+kDEa@yzm&K?pN
zA6C>z86`@?Ja#9(ZImg?L+(ngzlLG5Y{*2cH=5UG(^lLVx*nB=R~pZ1s%L;y%i
zu%FDv{t6jvzjk(hf)I7!Z^bxP$n$5b?N{T%B(^6$lhmHeREW8~tf=;IyG$rM@#CRl
z{>7E$?Jdg*co+@ADbYae`@V*?8Q0gQ(q`{Bj>`w<=QDT2)#BDd3~MGeBj%7_%UDYh
zAFX1yCU#z$$>py|$cc*<&m8nQE$ENsc*g_8`=gi74aL;^GNH-#J?XLNK4ZRa{(D?w
zV%Ti~S2jC$<&KSrS)MGt0qI(ksY^XiZcba|x72MNrdd&8$LY6VN)0$81282G2E^@O
zr;|vXL+;NJo9b2DPl#NsB^xw)bBTNJ=Bi~qqI^lrAfeCQf)v>q;Rwf4hCuy4IP~f_
z@0TTP)8`jIIQw%z)%FAtEUyR4(Q0%#h5UlP|5V~uj+1hK^pLi^ty5xUOY!?}Qv9!+
zrWA+C5e*6Zayr6l5CwDT3k;-tQMbYs-%87F?^k3EemQFAR!|E%u*r91H>|X|q8@C|
zIa197?I;ME81#Mp4GE+5_IMElt;bf=)e4qPL(comuE|f1W~wIMqyvIj+8GNH-%S;=
zx77MUm8bdLw=f(JKyfnYL^Co%z|46p72hiWe`dd7@Q>taIfo@E`ZQ)nqm_^T&os})
z$(V**=iWl2Uch_i3IL3uK2dcwYUwaF_|HnTXqb#2A;CSVQ-GMr99xe%vMS
z+;9F3IECm@(ABO49+T*5tG?SHgL(4e1ru0cP6jfE64wQ=1O7FbEaI+1y~?#P^B52U
zp7aPfR(=3Djt0wubh7EsHjt_hy`q)ZdtJu~6;MkC_-cWtQ;rU~4S>ld&QW3O*Ki=T
z!;b!-SK5PwrMsWg?3o#uoV&U>1_OjbaWq0J0MpL39yp2zc_^!W
zFq#Qwu+q6r8V=A~>cK}h(huk{itI~>FO_te8n=X*)VVTA|2?4y!!{_Zl>&?c63G)%
zkg)V|H^zqCTrM>M@EUp%w
zaFR+o6SPsAyb?^}i(kE(anruZdjLJaP24xtIaCclFqHSrMy_BFekBVbt|(e3YPWUZ
zx$Z9=48&kZ2d1Ei7bx#WWep8>0fA&dUjNJQ!uoB^!f3xwiG
z0QpYgbo){3lM|0oW%dd{wgMs&4`yp!66W>_+*UgY8KttpX7;EGi>}U}y7Jr`lroC(
zbT5F0=E>IBo8uwr59pau$E(Zz)`YIrWpIq^fNsbm*$M_y(FKt)xWSx;Un9ZnUW)U=
zBcET!z@pp1vd7RDRL1T-Y)$7YF;8>EQUC)(PoxtqkO#EUIzb7D-e})5STo1^L?rYk
zxtyYp&jKlWK+5|X73XTwrm4M8Z$hLQ^l}4Z=_As?81Y_u6JlerpHYu{PB>BGBfzos
z3?vMW2o-5&u_yya*wmH8={&t2^9<)US}_;*Ml#G01}G
z+GDs6JTPwhIcofQ_QgFkc~QwL;)Si=Zby<`=I0Nh^UgLCKh5BO
zaw#Uf=*t2=`BuijuzY`he1rbvWxSm4kbnyM9a)Z!jZuRXA>b^0NqSarU=(wNQcruH
zpuw=({$yt=0kAVF!SrqfAvLTG3MBVY`?
zfVou))^^&u6e!7zLd0Z@v@O;z5cfJRHC5ARAc`n`y>Cn2KaO}o
zHU7m&xWFTl9l)+*=Hhsw&5+FO#YCbE`qXpm-%va&mVArC~nsk4zsR;9$N3;?ECSm!@xUCEfrLf|rb%^ScA7iekby)dZxq(he2rjzPQ2{XEKW;!C!Hsc;dv-c*baAghU-5D
zh!T6zsyNT&D>k=RIZ5xyvLbp@2BJLF<@r=0>zkVbZY%O)Ufc3%+$LX3t9;7r5n6yv
z^w!D)Tnd;uAdh|CB%9(-4vT_5ny~js=JjcL@
z1OWSGAxn1evbxA#9$^
zpXoVf@{VOI)L8Ci`i9ti+_)htC)YWA_uSpoOq;@~uo%x6$2i6w-zk?ovBG!66sw7#
z1UmMceeqT-fo5DoSd*UMAS@pveJSscIQ+T4+-sZLw6VlUJ9Zz4rz=
zcvv>7oY4_~uTU4Fe9ivoWhx}|krNG2qX14oa&}78Q|SxE0h`~e!_%DyoSYr2hrpfL
z&DC&$Qgtm9hvEKT3kE@3(mQ5>ZqutKfrmeufXHn>i0SBfJwI=*rtm#WDoE^jbBM%$
z1})YGv}3zQm;Qcm^$fl}qFjKV+ce}UCLlgO_2{Kuu75A)?Om@Yr=tFh=TIHH6$Lg;
zf9S$+h*j04J^5a-2EDdBYdpV@OF%{EhbZ<@X|}L#A2k9?*o}hDZLHa6&z7q&s~yX)
zA`*9Pr*;0CCmQ!joCx>X)v1$AVJ#$d#wS@O@Cxi@vJibd=!v@y)#8m&U(Y)Zbch3D@k|vl4J^@KZYQQiuN^
z!oE8k>;C=w8um=crb1R3iL4N}agmW-cCu&oc1gG+>x#$-WpA087ebNjJxli9o8SB6
zzQ5n&_dLh(9M2#AaJhWOdz|m{e4Xd{dgZ>!P_1UyQw``g*4C)USLY5#A*{e@55|pV
z!hPI+AWvKQ#Jl0n0HVtCV8NK~&z`q(z(#*I`2+7=6VNmc+ORckzdwGpoup6J^8_n!x4Y;R%sqk
zR*{c6l+to?auUGVgetp0o_Ga3AVeqTRWrMbObQKOI!3g~Uv0nphU&AKAO2z*
za4Lq!9B3n-H6h^reiQ7LFgqb^)4fw}rm*;VakgFiiRaU&PajndyVOp;VHCwcqREi!
z0JiaH&3W3xpk^axy9L3NM?P#%4ivA-H(_LcU6oh${;ZnCZi4ER7Md7Tsgyp#tH)&@
zzJs@ntT4NmZJKjuy^vWr8n%+
zRNYk{WnCK5Wt<-1fxxhZRZ~xY-8H6ei(yrumGI<;L7fI&N%!$NCwUzKK$3aphd6RS
zu>ts5x#pcgV2`1;iFdc3G=uYA>4c;;e3D&%>k;j!-xfjqJ)#3gZIF~9>!nTr{b)ov
zp*HVM@oX$}pEY*sBXu=i)OxCSHa9%nBNz)>CUv=*_r%F$ywp8s?m6Gp8kt-nCz`%M
zURv@^>b%B&ivhn80uf3PmO&gb4gFb0KH$lGMLXPWzwq;|Te{`yD-}LqGV|jBKZJr)
zmEG!L4$q2j;w=X74Twb{EYE&iI8nH8#J~&?l);h#m2c^LPVUD}Cu>zZfOSL=5C^OS
z%BX}0CgK>jH>FbBFrZ~aE)pR7eMxXY)uB%u>MKR!G*}L)EPqWJq$z3gzjl)r
zX{pn%)tvf7>F?v&AE4Di)~FJ=`4G=2aNsu(q}hY1wsYT=QZ7*H#34Sa
zZZWuor6OYABbHsu25@{MbF0VSQIl_SFUvMu7@o6k686y1${kInIim%z{W)w}{CG~t
zJgM$8sJbpG*k*nLK7uQux@azIG_!^Y;3Kat;Br#esT76iX8hjc4v{kxZSy
z|1%SF|0t-UDgNZor?ty2N;NY-p=H&N^y*dQ%)({YIzH&$~C_V>I
zdq3}ai=R~ch_d6Z*2e{kj{7zaua$`E0+r;C_*QI?B)DTA^Iq(_j|UH{6Q;%YuF&o9
z+Pu~%>7YX9&qu6pZe1Km)3pq^7B?c
z5nw}o(M0_%xO>sg^DS^SMzplJGBpWQezl}F8R0b499_G6)r#;_s1%YJ?vNp|W>fMWYm8*U{qTD(I3=4b?+Z`b89WL}
zuFmX7braX0?6jCDGQIH31Gl0|)5xy2k7@jt26HYork_PoR63STXkv!nq8e>c9uU=j
zEFxG|y6R%P6j8TR1@*M!78br?w_yyYBh7H?OJf^;fQS&571xU6tx{xR^xoN4m
zU(f^nVc%uV)ZZXfFIGOu^YtD>_co{ZHh(ImJw^5E8QBIQ(|-ZR)CS=q8gi-Yc3MBe
zv3s$@1K+pHh$1fn0zLRopUS3SdE`AO`l%U_GgZ_>QU<2=Mnm`#j~|}N&(O71Uh65v
zI?rT(8mOZ`%oixXgQ6emL0e?ZSY#AOEN~{nSq*)Hal|$9|8{3Ml=nzOvE^FUCDJ=E
zct%8lW+nJskM&@lc2g?9(6)>@w#Ovr>?DrtEv+2OCZP$S)YF=ort>phq!I~^@%Tai
z)61^*MCV=9RmnYk#VLd}Zj;t$CMpG^wt}VLx}$@LU9wVUC6?S(PpK~sh?BLqXZsJf
zzOay`Z9Y#Odvu@cRSHdiU)yTp9#7Di(iozuM7c~Y#4q2UVo2xe
z_C&}&&#LIk$gJjjp``Q8Zqv|5$9HYT+{J`)3ZK^+zFgKzJtI`u*x)0x$-8HbvQRN?
zWWlQ#{SMvY~H
z9(i%$6w(?MA?vWA;dno|m;r+sQ=Y+EtA-(8|Jk%m~+GE1WP@SPs#U*Xq<}<^6b2UUux6!^n+npq%~mq5j69b
zy-<(IurbFKikqS@WX~E>rf^|690JNuS^S4DEelf52Y$c(q!c0-HSV-j>Z|-D>bIi9a%u{3@~1E$zwPCm8=iDZgXYFtj#vQ%y;PNLq(Ci>JAYk3KX(
zyq&tw`~Z`2oFu>+(4wF~{9L|P)KAIg0pW|HY-m3LwI~&^%1ROjPZ0$v+ustzkt@^R
z7FRAvL_Tc777ww)q1=dU&8a5446a7Xz((`V-_74^ulv2)jx=Gl4*G44%@Ei{@vQ_l
z=k{Ev$dl66NCK(L>AojK$Y;B0ghOkig%+wffHmIm$&ja+o2-#p
zB}>LJNP6tSKNllmCPaOR*i`NqkCc-4I!mX+t^`(H(%<{*os$@@w5yh~_1+3^F0X9IR
zN#zEgCf3>3r{mM}hVS2QsMBnURvOZZX4V-V%f`|;e;`{W{gKXiO$B*=f1G!FLe=X}
z_iL?yHV0(nsP78CQqnjJN}P=aw7sk&jbOK=O(oe}YSO(7G;|j``dHWTylj{cS**J)5y-6}GD26`zyN40FK$Fmk%V6xf)?$Q_(KLi{Sg
zPT>7EK}MH>L{S5gU>a+HvKgT9wJv)l(h^I1lB|FyZ9}9ACoV^BTANVLJr>y9zS%2#
zMsawTHH!9_bkl1_IX2sxsrpD5vxjZPPRcf%6FBkAp_esdY0`ma5Jrne6>e(?U8VF9
zeC3NMhrX_dI$4l>AF+Yre&WM!0HD;V?^r2ez1}qN@6=<5IYX6#5V<|&jnq?AGF7W2
ze!N*87Q+*Q9w%v)W9O$uKN5elp5Rrq#zsH(4V<29b9-q1{Z-NGM~xXBZ@&6yLqQ>s
z9Ez?)WHN;O>}PzK8*BKM3Q0Z|Z-`XyC{p%m@qb69ki_!zUAY>G4fj&fq-brSlbxO^
z#_!1oho_W7TBWS332UQnOvPdxIk|nG!pp+L0^?Hy8|Rn8EbrPLi=P{->t{}W_PGD|
z7C8rseug0Ja!>bcYhsVlK9C|>?C{)Z_@=eC>?GlB@&ZF53BuKTN?m+(4^HVe2{r{g
zh{XXxDJt&^ZP4m}M)=MH+|>*C1zh6(pOyQFT6lo0S4xV~gt6(F-y3Gwq`^b|`$)%6
zLLs|gZcwwFLln|@(iNtVDe)xIQ;vXnM{hU(WbGO`6x<|_9bO_#`mR~|x!J!?q{D9|
z(44w_?{t2)HlYNX4^6@=A~E8+&sJTS>0r5B<$nm$RIqYy7|%)ch)=~g<(d@+ac+lR
zHDIZ>Yu6cy`X%rQ#ijPP(}?~raBCZz^cAIf)EmE_tjOy^!GW+G^JW&bF_H&i%K|@#
zty1VUa*VGJ#c4}nxMJJwLdbq7p_ix`eb~4%s$?&^Z}`1(Ru{%4I+1mjV2e`?2g-Js
zoAGQhs_^iVZZDv>lf}=ETabxJn~qACyayAbI)t0DzA%EXN_L#B#nNOn@NJINBHtox
z6+Xk2XrzzFZx|cno?VbmkhQ8wJ6pxIL&^xxFo-jXq8!Q+<*d(uUfKIjEplX;e!wxU
z?(BFrR$&n+bCJ6uS&-*KpSn~{Zj5SnPCfL5?M7m2Vlvc^qfDDqn~pn#TCJm34d=GN
z^)js3Uf@ZS!Se`_*X4@YhcDm>2IgmXuoqc%@;xR@v9bx2!WSpvBvMy%@I^>RL}x~P
z5FE(i=L0FQRhphD&c5k~-nxo6c8$qei)SOvpiv|(jf91jc8h{HUL>7@LvK6`3+E|d
z*)+x;DCCUe7!XS!PpM1pJ27ltnJck6o-eMC>A0pX2~WT^fY;so)9@YZ6UfSK<%n}e
zEy1z$Hd>PCd);yr58#TOGtOW|gV`m!e0Oo&)reSyfme2;lBw~-OI`^vz}IrfWZY#W
zsWacPC*9PXX~&w!DiC*NGEUTexWj5KOgzlk>kH=3gNS5Vv^n;7EfW=`JGGoM?U
z-NKPh@0JtTJlnzyKOZhgJba|C|28{-r|j031;K~*)I)DJpV3a}n8v47T6H=QU!N?w
zRhuJd=Tq0TkU>$uE2FM2L@nkad0kPB$kaYF6RT^lI4!etHbpurWKa1rQR#lLJxVX3
z($GTXu7J~s#W$DUUb-P2V`Du-OLrfXhu+1w_f(2uIj^11H`l!$HR6!rgIzU2Tcz4*
zx`Au#RpGG%h(3Z#!zGI+9cI+23SWUq;wE=4>Nk17Q~%8E&L~hb&R(dK*{4Y$7JVy?
zl&z4P<6Tu}XwATa#{98Bzs{=Y#w;km&
zffeKZ%&KGVc5=sUAXqIqn&xr}z+ICtZtic)tg~|c6o4cCJf7s8opGuI
zv~j--82`PKl_!c&?1ip^+{bBvPsn=3{P
zQw`rXx;aq&=~X=mI?RKWF(xp_T*l9mRjJKVUBH=pd8wcZO(XpUQaU$EE_|6d2^GIr
zj=#v}CR^!gVeI%1omn&Bws30Itk1y(?BIU2o5&
zU}bE1Qts+l`!TUSP(LNwy?`A%rq}81Vf|dvHhC4NMslXWO;Mx+EWciM2oa&z>vmMh
z9_*?sWyX6%KB@B*0GRE3Gcn&EK*C_&mx0n|;ZV_p1Wf>5jU(;oNOrE+Od)N9z>}u-
zW_2==p7b?=^Vc@-^Ar}x^K$wUjPVBkmXh6KNn0~cKXkiPZmh_;7kK_Gxr)0`uk2*ytYVPv
z@Rb|BzqAGkElT{02iTq8iN`I6?7Yv0gT{zP=gZ8N=pL$2*BlT_SnMZnWZYT(qKI6^
zpafrz-E=K?xw`p#k(kkY!nor$q2%zbrfF#vB^bfc^|UMQM{lVR0q@7e%WT5}?Smz%
zn1CcH!ENGW$@}D{-2=TbPcTJK=>`U}E<8-t4Xuxh%c4ZN>>k$c7jaY_9{_e_D_fpM
zBPdT=EXXDlO6xI@=S-xRm<91K!jk>=N5?0mfR+P9blrHq(&!9ioLuJLTSgw~u^jh=
zE&>jDXiWgw9aKVSnUCX;+C(*`4s_D5O}Pt!!FiZ^UK?MOa*QI-b8!
z!VKWx8SAq(1!l3$=_wtxRMI+XdxDEX{N6C1b(h!fs{m)Wcv8^Nl4t~tlFi&!)-=6N=vWV5sN4HQKl;PWBG8p+7
zs+y5=bm-lc5B0WcZ9K3<{vG>AAgIm}%2esra(e?(R){w>tv)^{olSbVT6vtX8t_7T
zptf=Pc&KV|X^HMXH}l3X;RsazCRyyyl7PRedB6;e*284Pt=!R!OgD*>6M5k10nH(EQgjtrBch>CPA;DPXkQ$uLp5Q=q+6C&e7rQHpDoUl#_M)odHDfJ
z$;4!MbjJMKziLQ*-TbD2)DztEbgNy#VA}FJ;~3Dklg1>f)_CElzp3J8Lp1{lBRnin8msL(
z%hxTQ2R-VD8Ib)h%2@-%v7z@=LhH`}bw0icNG<6%4CVAn%@ACdD;k64EX?B-_Dqqj
z5=mUso5r=%ZCtmT!)?Bn?N3`xhB5sa#T2-(pz+uHNj+-Y!vmQ`+A7k(V7@)`;R&6w
zD+5CrxdA^NR=%fY>9O!9ZWK)N5!&Rhk#CUaDP!J`3f<7pLa>dxeGd^ewZ}alc>7E`
zZ$dzHH5!HGbGll?|7?a&ntszSWS2PYij#Fe&3;XmpA3*2mWg39_GY`MV`h-2R&(U1`&Q?@FGHaBCb7ySv6{Mif
z_BQixFfw<>xJ=YP$Wt#nrG*S{eX4oA8S_92x4EdB9Tf%?-oc`ge)?udC-cJxX8*15
zZPjPShs`tz_pGm?FeRXnpadi|_osXup%AfyAUkB!s|rVo5RI^=
zIf&1E6+195IpNNk{L3rQ1}w;EaP6$O8b(OY8h!hpO$v-JaDZmqEU0fa2bAAb;c}4r
zWCKtiEOTAbsHv^Bbxy8xCQA5t%?+l7BZ+SSJN18+Xo&9TQiC(_@#*L_e&($Q+XthC
zk9svLZ8N$6lzd)8f*|1M`k?^J(Km&|ZwitcTc!ITH)n8`Vgs$`2e>3@42M2IKumas
zutV8@6;?+f61$ajER+_${cb1y8Oiry=?k?RhD1xwX_Oc*brB+rAED6)8O*>0BOF-H
zasYC016BKhkF@Y|3Qrt8w5Qk!!@7hAqrIg{%S|Z<{mSxgD$s*S~2foZAE82%jQM
zPa=xQH$xl8)DzQUZ~P^M;PhiuGX7NO-m56o7@`3WOJ%NdKw+GL+PlUM%I0(0c6Ina
z{(TPVBY5ZJZt);C9&O$-QAJVB>@-1h>`>GbU~;4E~vbB
z&}yNYJ-Q9xktlfd$GDXxXpJW8a5MHrygS2t
zX9RaVBbqbZWy}2uohvE#xHj^rlRz8`Iovu9$h6SFX}qB+qGV~W-USI1x(bO8uR=y?
zFn<|9eqTXjgE9RaX$L%WSFDmw&Pg(hWqv(S_q6Qtmi#O=_{B(QOG+2ZbRoHY#-P)*
zml_y#dwCXp=1crmD*&`mvjH`yj9XXD5`K$TU#s)hDYq#_j%?rO>n>RO@+JGTe7x4k
z>rCu8x9<;QZB%K9@YKbrIeUmlJ>dh8p3>-4
zbDzX>y{|CS)2|?*vpM>uDB!df9BtaPnvVaHNt4Ig&Xa8+G1ck?+^@Lt{&i@ye$hm6GTqWrrFmc#ZhY=dZM
zHI#TU9MU@GC9T>7^(P%D<~O@1mw!zYyZoCPdYnZ*Vbw5cMr53Q`De_MkDoE#(ix7
zXZF%dAUJj5J@;n*V8_T2l*=RWczK>;x^0Lip&033vvUmnRrP$Lu&@gp)Z568j@p!q
zn{}1yXjZb-B4bN7>&p|;+=St9#GweTMOg&Tup(_B=p3ZtM_0iZ&@B9?zuRy-eswp^
zj^=J@i%=;wlIE)ziAIL=azxh=hAG5WeY6zq!Tauj{qbTsC`9Oh^Kk88rnUXEt(vH*
znE3ADwOhI8mk&&P8G}k0J>YrzB?W;uXPw7^D8}_Cl2G*8`jv|{!XivUL-rgD*zg~2
zD=P-1J|4jfCXY~#udF2NtG!+yZca6)8u`UQUU`F*ONFQ2z>t;L&+@yr-b2enS4
z+c!pz8)O((_Z&nv-}09}XeOpXJ-!RW4ER2)iv$qHkr{MTZ=w;;CvbosVWW$uVRrZc
zy0Ba$8@}c_sZU?6vmWwWv?qWkqwzLAUo7Xw=RGmbWNfu+trAQ}W+^rBv3x>CXZl5I
z`fMr}z71=&@ARtKlu*YDycJSULgS<7dip17#QC*5MelLfCM};FZ(#6+4^3*#o=fu6mX}=|4zAHw+#>D891kH?*B_qa6@si{lSc
zUpPs-_ZA)CR|rkqBD?g9Vp-8Q|AASae))h9W(H*T)2GwFB#3=+MTkASJl$+)lm(!Rwp
z8P}jEKl(}wYaLlQ1+sv#PyLBT@|O*!zY=jgT&j8=g-9f5^@vme0F0Lf_-by(*Dsmg
z;8Aa+%0Z8cUQ_bS5hN5Ti1d5?=(8Y|RM+B`2S<5;`%bI?N<&!?EKmcyEOe`dbekhpt9ih}&Nc3qlm9V6A-d*+KR~t@*I;E9tWaoU4-%)Uf>(I>4=6qXpk3
zElfXk0$$Gm0Cr)O$OZxfn1tkyGfmFWzluq1i)fux@5r5NIqp4J$4ka72;QZ;9{3#J
z+QUf5OOjBm7Iwnw1DA!WY>^$ShLXP+V?+-u0`{-@S#Q*oRQ5${
zPqj#1C=rM+Wv+Y<2z(oVE2Kim-ojl!xa6Gj5RR%b_1hO1A8&~SN>Ro7lml9KO}*6(
z6_z&c+V)9>+9OBx#jKNx_mJJB#~!8^wn1Z<4Bs#}ibZgWOMz2dqZ2rGB}kB7s84d_
z;fmTHMS8OGr@t@^m#1Odp`RoKkc@TRSK2I)kNEH8nc$jSblr!*8v4gFGFbloiP!&F
z2TlM>fKM@PH`{ve0kcaC?tsyRq?XxoHHzQ^9blcXXQQG2?9=;S7X{%S3Io!3SBoF8
z$?>-Fw{n?47LF5ajvWNJVgv{9$zQk->G1#`Fcwc9CVB>7^@!}IPtojLssbTg0{fx?
z;Mz>t0fP$q*gZSrnSQ2|%ojd0C!J;tWw!oR!UcuV@y=WYTw{onY2B97a;lz-Aj?-3
zZauN9iJ1jtHY;v#k^YLXwLmu^Opy;)fkQv>LpRjIA1K*yphr-BPqD=)!rF00;AAMc
z{MwLCfTQ%|ktf`D+;IlkQKWoI$cCu(F+Iyf_pEg9c7nqsgc@nkBW$|CY-^G
z+evL-CN7U0e*cl^`aSBUFe~p`fI*J{yR`v3;lQ?^Z5~KIYRD9y+!T?!QTUjtG`cYFL$g!;>Z4IE)x%UHk=08h_jC4
zfYU(YOGuEE39_RARf|)9v#rC^EqQV~^<-ip0cb}96>CQK5mTsS7JvbHV^A@aD8RWA
zKzSr3hwAfTLytLGmg6gsIBnOl(H($zh|NmkuDZ{Be7qh&aEO?@ZuRu67ARw~q0IWn
zYSELRo}STrF+Em^ub8C@$aO>Hsel^w8>k`b0Q{ERHakZPsg|I=W_o@FFouZ$N$F?3
zALStN^94{%@Tst{l;Y7FDX)s^tz-lgKQwtDh>T$ky2C{fq^hxpVQbdko8AYBdlAt6
z$Q7pq$x{~qf$Q^g|MSCksn6j3NiWA
zP?%Ss6ng8!L0u?Nwr55c`_A!bs|e;pev+j`HW~<-+s8eaX*%AOg>IQwb?MJ(EB40%
zwpDU8U`g^xI>`nl7|p@N@M=(#pD#9~uE64VPyIvvb~AB=p~TR?j}N5Cb5`N`%l+ig
ztmH*JdsVgkF&rXA159%863|ylrtk6}WGg4nj8y2*aY$*HCQpbaP{*~+g=hrS!|?cE
z2mbRY!-?V2Qb7L>20pj^8l14um4uIlz{|Wyp#dh333zN!Hc+}5E?-juIS8>?QCvvg
zHs6jOSoq=iQX)gXLaI%zA(OQV&RsmR+dfYA?p#+N7DJ;Htw
zBY8`Xhh9}^C)4T-vuwI3wHS?9Pb-hgwU&ezXGqz7@b7znW^FXa;(k|ArlI>B`}X0C
zDl6*7NxUE_^9zPe)yD+2f2&z^6N>*)hJSJsuWcS%PK`6%`K@WHGI>&zR@2-dMUwY6
zBQe)mOj}lKbYZTuGrZzws#L(TwtP)fABw>S8_y$I;1?Eo}{1r0hw%9r=^%mFO?
zW`U}N+C`(vE;rl7OJvAr?$;hP+~!z3ZBbtHtElNq{I>J(q1#B~yxcqs8t=
zEcr|M&o9ipEK_^4Oe(4xPn+}scqRtp21^~tnL}mn$==JkjIKQowJUTX^ZK(|4SvEi
zBV$r7y9Z;*v(*K6V9VvUPSo(;8vRkjM#xxWh_v3wT9w3oqr;@4pn#8k=Y|du^b9R}
zR$4Q=cW|%+)^rqTtbFa!cruwBaDD`?%mZB+OI6|>Dy7dz;7fKW%s)XAT_321&}_>V
zhZgC*Th<+I94tSJ7}~9$ovjQ%-_PYQt*LOa=>9;8{S+lB_N)t_=z-39T3w5&V0%JJ
zNk#ShPoZrAh?bWN-w9Z=LF?ZHN4-8fz}`Gy#&_mEmIb|sebZ&k;zgeey~vz0aS^;6
zAcu%eP?8r_-Ow#9QVvwkqK-t6zq;dejlKg7_`_f10eX8@AD;sAsnzCkJS;56RlL)G
zn45I@pz;)W(%So8!0cE8(nkpU3}x|8&;{z~;{*Ri%50ntU496(JAtaX;paD&o`!94
z6kikmAbxpPX}Hjh;7L~MyPZ&Q{J)X0>ND_~lAD3#Q1QI;z+;6Mvk~{_c~9ZsEiEKG
zU{C@Scudk75Y7X#CMiJ4o?6$S2@(e%DmEs^0^G7GX=?Wt$Y*>7uLbPzx^PrID4tzf
zT$};Ijg#{Yftw3?`9;6~W{sSIgsyeO!{$Jo{IRcx%LIB?sxll!jEJN5^3u{Ta9Lc~
z{~txltg7-zI$`!dG=+q%U=HO
zgRe3V?7yQcP2w166RJGb06fs{oh9`Wiy)%!HKf(C(lIKK)atH}r02snf@JP7XQIk$C9P={;K8AF&bcLh->#3$7j(cW=dgCF>F7Q>Gu6o@cr_2O1!^!
zGfYN=QQvYG*h`zGpNv?XbJV_RO{EIIoas`oZdkbEP4(Y@G84fWu660-fRi$Az)ozi
z`rnLjPBro6xJEoiP~9Zalo=vW2eRgJ!2f}!Q!9c1na25#qZam$8)aRPj2MF4DC&RQ
zC=KdoB%1$bfVuy@vw+f7PAZ1U@Q&7MhsRKAm>VQ2NCKewv%dY$*UtfN$ct!C9WYZE401KHevN7_mR0elD{pue1vMKO1?hhkqe6bvINa4azcoKTP_dvzi5X(a42
z_1^+bK<;BGSPKT#F;v~PAcK?fzpgPqLoZzjatOWrFfdaQ&%oWRzlz{Opd5f)KmG#2
z)W4UN!F>Ia_8G3O0*0JE68g5635<=)M&Luszw<`#MUH;g=yg=hQnoPv;f0h1&tms<
zCo$SKK6tR+QdJMgv2_$3HN7>pAJq8P&vGpIRFf$GWUym3u_ZgWg8KJ)^Kx2^->s@p
zq3TkevW$Tj3hJ6DM-TU|#Gs%t?(&UmTDnFtcV)-_lw=(v{TG8@1MoaRCh_cLfwjrz
zZ{iBueE7@hmf_&D4;i)}Kpb6YMDPA%(n#pIv~OTjLE{udpa7!)MPKdUbwQK_k_8!o
zuy0osHOeuspuq>ucN7@Ph`K14jaPm26yezck`FN%T}MO|3VTaG0U`w(lbK^+Ml=SV
zO+4=0akv}{Jn5sjb5PoW=q5ipE>6FA%E|lc4;m`P%1ETExl%sNiuwH(jGZ$S3W7~x
zWia!u(1(b`RqKw*A^xRJ}7@Wo{y08MK|AceG%-JGJ-?gc(8
zs4>;xG(^}J!x6(qaco?U6GTQDr#G44RI}w3kk3t(d>*H^gp8J?(5s_A-at1$c3T7U
zqg?gYsKn|H((+9+jS&D0=7UkY-Ae{aEiY@O(!oqzfQM_skBu*6@*&>M;=B5Hw(
zvOt?jGndJo{9AB!H8paGu4LNp0Lbr^#N6%rPc1;`{=Pf7CX{!WK3|*mJp2_Zx>8Vf
zxbD$d+m+3(Yv@J|ajgKBiQgL+=Nn#w`9^a3`V5e)IA}rplW1G?>vuTcd_}R}opHy;
z2Qc8t{|3wppMW6wr%16d@apmTMKxjJd<~u>(Ojsj!VVMPKI
zRQP%Oxwl^pMc%+ozLX6Iq4H)j#PT+Q;A+Sx|`~$B2CU5c1}`#eUawa(~DA1ugfH!mT|m
zb=CFn2;{N-IYJ0O@bFhR+zxTX)ncL>(76WeQWqcUDp7E=PSvjlVSd>g9gQl$97`+=
z{iWi+&2osv*DEoBi?5Yaf?^6blnfYy+On&n8|@?x!<-H#JsiD$MBJbH_J&SS1pK4d$@uh7(S_s|;8#>H
zehd#;n>Ie5Ge(qH_1*-&hjF;$li43!CP%TWn$zC@KqFzg>FQ~Pg%OdFWVaqAU;%N&
z((>{%kUoZbD3|)P1^;E00L_{2fz~Y$p3ch84+n9MfN3)hDEqduwH;q}e7nd-h)TaQ
zr!ts-QZ_O=`aM~6F3M!MX!4jc^_~jUDGmdy;tcy+_{^TyVYWkc5*~lnYd7Y+TZ5Rc4>nCZNmxC|Bz@h!ykK88l=?5S*zPU63*{StE>nBdsXqEJ$>+~wjfC6#?PcYodZLxw~tTNo6}Jc-&WOtDTIWw-+>O7)bm{qK&{Ya=TLi)E;SUDRC3EttjGtpb<(6(Y|dRi?YKnm=@ql;e-vfa2T
zDR9mAJ2zju0?Z#60XJfF-@Q4o5auw-yy;rpTSXrA&@9+%9`r`}$3j{G=SK@WN8JG*
zfRbs-v(j&%$?tGUEuaIW$U8xccGV+Xq{#Wz2UdHqWo4BJ-DjP~b
z0EXede`VxVL7`^Ubbh+&Ppe<5old`&-)Z;57P|w^1yhfHSOO;y4kF7?K9KZW1wccK
zq(yd$`)_bt=6EA-E=!PZ)j4o;bK8Qlsvys5M-5vANohzE1vF2&biSC{iu7=rc+nm)
z)(E16NT8680iByM2XzY%9;F%`g_Yl*bfpY9?oSP=--s*rWq0&!VF-EfB}Xh0*71c-
zU4po;{YE{DC&gmOAMNN>GS7(HD5!!+a_AgaE*^6n)!67_+wB-GxxK)h?;9tBUK@YqMVMu?wSK&=Smur@z2}(^AZ!*IF
z-0Z1%+z+z?0xPo$QpXhPWG_Llb?zO_BB(ovw{BA=OxDN_8XAZV0O<10+ZvzHgN+Cv
z7>INJ@>~FWFI;@1?yWNKmsi&Pl~ejvg@yJb_R|V3&>MkNw+qC!5=icw_Paew8^cBw
z-fG`)5ko@yS_Y9}A$%CoMgcy}r2xlqkWx#scf&gcV%Ly!{n=0IoIT)>TXe{IxLk>+
zUaI#TXdTb*q+Un_9C!q@gF37q_EnS6f!dG>1=;$Q4j0S1jWvTedmzlpW8wvrb%)yP
zLAdSuh}Au0Wf+`lM{V~TnxO7Yu#z=qZ2^E$3axxtGI9gst
z`a2?FT=zhp8~8H!kk=!sej$=$&h@){MUnD}_56Jo${q1F8;EyogpNMrR!oCz*+sCHwWclNS;Nnggr(k&3EKD5EpM^x3+{7k~$Wc%35w$Qf^%
z0dqY4cmqV%3kvlC8M}TN7sX$t{n(p&tuOl;pf~q}}sm`tzi_>p{f&%k5P;#Z!XAt?m?|D
zJo*JA)|)mP8gCb@zhWx0y@g}3eS>0eiW147&!i)N<4;bY$3Q=3WsM_<
z*zr5Ur5i!t{&>L_5^BstmVkjB+WqQ0p!6Q_Y%o!GT@YR
zExmWJXR@tI_eB+FT
zbCSGO@Vb{dt2YO#unER#EF%LJZ$RBEUzkk-t96|g6D&@N9l~0`&lrU*2>Wk1r-MMdG+j*nskV`J;FTg!G3#=Oj{$9gPdv3p)V1cnu)4{{H?JaMu59!e{xxFnuUL
zHWnf^015)Dcl(r~dQX7R6np-OQGlxQfQ_;Mq$cxs9KDFa38hdm$*A*x^lEiEn0PYFsx&2(2iZ935BT@U?%^tzAmN7ABZ}%>Ww=FVj&)r6xik`P7gFMepsQD0#
zDr~1LYFJn_=MGUIt8jSAd-e!DoSN!+6;n5OxHLzZJE;v1S2^}(PkqwM4&jE~;Ix{I
z`zH^|bi$>PpaetZwI$(m>Q
zt=KmLaDoFo;{vUnEUCkr&kD|R+^fs9N|n0%ffzz&k_+o)y%s&&)C@W&*sjs%Z+1+beAyNgZ
zF(doipx5mdTY*4bOvXHjsV5kG1*lId6O1HspS`{A<>!@ua0NATmk%?b0ff}y>O0X{
zi7K}~zj`H*9vI1n0$Cw~0UM$Os{CeSnI%b+vqiV>Md~6p1~mh&MFHHk^DU;fhkZ0o
ziBD^IZ~yQ&)StQ8ux49kiy;L;ue~S@Ct>}MZ|6aEjT`4_@00|~XgpPia0-q|scx-a
z(^3#HDP2)9?G6|ljeA1LXz~g)Kz{jvdoj4kt3~zW)sQkq%NBayx<~N0^z5T#VU{vW
z5+-{DLbWnmB-fp?xluOkthjtFes@+HUQ=@PjXs(BvJSd>Kxa{vz%;;qsX?&0F4RxO
zZ(V@Vl^MUEcG0%&TH-3I&RKl)mXRp003Ox9XFr=H#}kSxAX_vTqZ!gMl~FhBVH{#x
z#g8sXjd{{0mr)V@M+4g>&^+LXGX$G9`@_@(s-y@e
z$Zq4l(=?K@Vs;YY&t9(w?{5yOIxx>bzToof$VfaR(o@=M7Ck~&qz|GU(T{G#e@E&y
zA&XT*&!P{0drAQ;g-t~h!v@@IHn~NO8EJ{0{
z_jdaWlQDGHNd=THqBI^QBeE|4%A79I$}`aNY1)vaI^@m~tNL3pE|b#TDeS|)ZIL$X
z2Gm1CvCly6rh-z}awub^nQUx$zjO7Y4Cta-%a^3nil@r5WcgeTezk8k`y5Wh1fuCz
z{;JoUoJk%8;NcQAMc@t%ZvL4X)~~H}wp*0xG5Vy4c?Jqg=fxOt?zY;AU6zVDfC+`k`PBLhLiL07`
z--~DQW%H8dK0NXk=R%n2HKA03vGKp1?EuGDnamEjROgMr6i+Mzlk-VIHv~
zFdxU3+g8UL!`2E)h`*S_w9*Ns@k`)(gu5C>Y~BmUW9Y+U<8e
z*t0(Lz*d1O@&4Qa;UEJq(h0d?_3x3^ydbjpXvry+}Th&BL&@_WxvXKSA
z#f+da=1gWKb;n6vGuYDoyW~X8lZW=1^#MeA%3_ulLsT{HBsSq}Gkv#6Pv990MkIMW
zu8#4BTK$w(5#4P!7IHNl?W5>Kq1U;5mPi;;Ih9Ci%!NiBgXh&l1(QBcH|S~2FNZ8Y
zh_i|WjVOShr>vSH)ZpRE)1YDHX&|%%pvft;NJi+mG{T1Phj{UtEd;@?e|)*zFJ}lx
z9eu)+qY^khoX`57F}%Dfo;2Jj&jmy>V&QXrR!bs{}1g3ZjbIB$g=)t3X!ODVwB
z9Y_t->CWH$)^;n3XG4uU;rx5^JIFMc0^B~Zq8RDDJVFDW>(%hBf7U=eSOYzeW?JBG
znt>PE(;&AzzzwQQQDKi4N8r{5Utq4dQ-2-ZKXMM4zUt5GM9*)wYoP>JbFnme&e*3T
zm@xI;uq^L>L16B9kJ;FE7cCL{ocF8PHb>HJ
zK2)C0CnvJa56-X#&LXsatpI`?PXd~0Xg8k%4oC9XptSec{6O~^Ba^Eo_|a!oDQu{Y
zOVbnqR`Yi*6SE#t#BPrm^8Jvg6M^pviIUWA2nun}Ydg;+t!
zA6si1Sk`~2N(8(K4;uq3)HIF2OtWbN+k~M)0`rMsMYkl?hsH;_pKuJ+*4K7%4N181TUT9q7V4IrR--U3xayrKxJH}krBQpHdK
za_-XQR-YB#?8t0lMT0@%XBnaMyqQ)BW8B)7vh`YeN@7Huhr!$e1Q|~Y&|2xt)hucQ)0um6NbA_
z^MG;br&yy4+X=k@r`xJVBZ9B^R813lj8gMud;vCA)r;68%JH`5Qj6PSuT
zK=7bZSY~W*Z1!uA$`H6bprApXB{LD~Q}K$8V)X;b{mX4?2W<1i3w)4mprVAfEeRM_
zad1sAX?60zFSsuEvFJF!%x
zY#x0=0{r*Sb*f-Iz=vN1H@TiBW*O;$v7K6LB3_IG)J1u)aa&DOQ%1zwj}w5~ITOUZ|Uo*d|Ovk1qbXN2=O7?U2q^dgHeO
z)U6*Rwr{X3TIx^q^pm_BncW}F{d31im_|`G5+D?iF9)6g>{RN@Br>pi|2|^h>g9{?
z{P%<3(AZI34kz?ZJpUvF*>d;)`%CGifxNsJwA(WDE)6nhV>7tS@cw%*)UxrY&>kQ=
zzF$N9IO(oA5dfrN1qNR*8o2{A%()-D9oD}WJUO4Ao9%hqHvVg2v^)5znu0*V`kBjT
zTMM^W6?;n`_J1TcR8E2I6Bs~V^}tC{FCE6YdSVRl2Vq-BM~D~dvJXkfcIaNU0;WwL
z%B_l)^-e~=1ev-o|Go*7%X{{JKOGo}xWMr2dn%-0!ZnI6EdlhM|LN|^!>L@`{ksq<
zG*HG2StJS0|d{n2{Y@{IR$Klk{%1x4^{YG=sb%XO1VBS`|DoCJ~&6@T9QVe;26
z;d)-o`#kB1o1=y{9&?-)CDyuiB+2C>z|89RvV)2KW{})-D}_^xu~gJ{^XRg|2kQ)v
zom13vhVWjo&}rjuL*K(LcGIT$SZ9@b7fy^?2W?A_$?&Ur&lUG;=#m!)_vYEGQ6Gn-
ziBe&fMF|uix7oxBlYKrUgWYt4DxFHw{+w&g|K>tXJ?3#zG5YKC|1=8nYXP-+@0Ms_
za!hIsGDvKT$Pdy=bMtx$Dkmjx=5e^Nek%iW9!+T_a*o(@X=Qe~`y$hb-9lG?{{rV_
zjzKW_u4nCZ)VMM-uc~lIU{yi%g!ii~VY{is=EFq++PDdet90a3nDFzy=uif0jkRj-brawAdtv7EjX%hhw`F6{kCwIOs>NAB5_A~2M$KfO`&*3Km%I&Vzwd-XLYKR1
z?#Tac+EQU&5Tc%5tE{eK~%!*uG>gTP&a@NatRn(mwtUG(|
z9iepkEjV@O1xtoDozrmHgZj7hw;MG%WE1K$68aWgIHr}sxD~O|Tw8e8#yw`4dO8ba
z%PaUQhV{H|im|Z7r{A5jv6-5de457FI2?dDw-$M6f4A|bpBpxGb!{D2`*;?xV)s?-
zPM6v$TQ!xVkhtN#eUAVp8nB^&XQ}ogae{o9Wp{`*>n-Nf&CF6KC!H^}=9^gO4)3gA
zT+%n%3r|D(rEm31GN!(~zTS}Ml8yS$$!@>K-n2b4X$Hh$d{&kb@MwL2`xuE3w}dB8
z)?2s)lt|(q%^7y-jTag+7@BwL`ncC#uU_ztvYlWf2nB9+PtPqnu*x`35g{+{5OLAb
z+u`4=s!uy%xPN~n&{3V#L``xp8^Bjt31?ZR^Qa}NZOe89e`(2c$+YXzR}tYs(ydh0R^oB;WOLO-+qvXR}o{pv_ePPT5`XB$ND1BIxQpoytlD!!pI^*4eERfht&B_+_Cq*h
zkAp)dN@R~FnoaKlIw_LI$W_U3`hJ>>Oj7TC3J)SYNiHZV?uS6KL1}sUk2kWp1J|>0
z5yVLa7IE?EAIrPhYFCmPa=>PNJ}~$9c@o^wy<@<2OOU!LdzE#;4AlDQmNN
z#Wyn%!;SMmF6oh@M;+h*VRSvy$WeIAv5$%?4|rja;ZPw$voF^)m8_9YtAs-}vgM3{
z!R-{&JfV!F_;?zyMUNHO^RGMfh=l7SNen>9iSE;ruSb*^+qo#L1QBwB;JmtbJZy8b
zOP{^j8Ku;^#19|z9WGsBS09*ZA9XG=jZ@;%Mnf@m+`7Ke^E6CT4<1Z4t*K2u+6mNq
zgbj@LH!8>NwzErbvdX5O#V)D3O=gS@G$(@K0S9^xIQaJ!&)kAJHUCjR*+0S#EMHw+
zBBWv)EhH?Qd9i(`I>I=Q^|jlpW+Iu;(9rNKpin2_S35uRV5hMwhn@2*5g+tswq5AV
z#$tMYT%0bjkC{2XqO6`FoSvR?Y2GStgq&-R##Ong+pONOiBR>J$qn=qkOVL8BcRWeNzsHhS}@2J!|@U66ay{*-w18HCjCu8N^_|3h$;g`I&_UEjhK4~#DaL}|e*wSI^4z(F
zf2Kr5Nq)WdDw5m(o3qA=34WYYdp3x(x`=njED6wX3d)S=^)9#~
zXO{m>%+~PW!C2*1*Q(ZeX3W`(XU@cmI(JK`e}AVqmv@bi
z=hP94S1Sq$!ZUO+A+aoSzFp3&eoPBX=s>{Pan@Sh1`!SX76rNQnF6zW`U`(SIk*`)
zHt7Q~6J=;~QtV^s7Ud52m^}|-aG4yOg{Qf?q9Wqkw{PBknTR`q58_-yjzeN?iivR5
z7?9DAzZ$JWxT8z?CK;1}u1h{?>^tLC*Ygq--Ff<@1odbVKZO$C_e*-e&50fNBz?kl
zRvVXVZxJo!q7^K>cT8Xsfwrl2W*#P}_{_b)b8>ue(8Ji+Sj6_%)RgP&iR{Ku8;A@D
zCaFYG5BrIsW5DOubaHZ2HFL{pwTRo%_nd`(@_dbWDUp69s!)D?jw6e%
zl29DMe9ccRVQCI|>9Z+MR_}F}lyRea<-B9W*qtAQ?gEeF;SU}pA^=O6^
zYWVXi5(FdOwO@ec(Yxh(Hi2(NRko)6=#F*d@f=`^5>9!hv$-0;2p>puN8&NL#dH&s
zWP_-kqlY{`7gA`ISC>e3*xWnV3_$C1r3?vG_o-*In-pl~_m;}G1{+$xFo-m>7-rYO
z+-+4u4g7SBxDJCCaX$XFy*xuNX-Pt!aL>gAm-dNQRaIeOD#X$to5+#QU^5W+PL!Lj
zfYY+Spz5HGjvvs^qj7u1M?`3X_7LeYkT!is`T*U~@G+d;x`>NAn}!n+y2fl{ZU)kZ%E|9y74TWS%cIjmtpqRB-L(B1xL2=Dv-`492@QRujLz
z_^WxIlq3{%o|&&|=!##i$Iwm{A&m4k6C;<^8q&`I*5DIw)^2zAd{ej48irkeM@L6D
zJXTdGLtiv-2Ba?GvPjDEM|XwLR@Y}jLPEP+vqN81HR|?GFCZN#9X6Y%)StWl3K%bI
zydk3;p%t;OY^5v*BY$Gs0`bE+92$<1g;{2Co~xRkUben*{H{&^^A^!6Ne+z|+Gc`e
zXDHbo3666JsN@y!^i?-BBrusvn~~RlfAhsigwVEKEy_mKo`i&iwKdh%-Ed@A`z++A
z)9KMJEw22BayFXdyHv3jZP}+H|ZMNU@wg{RsyH;b!DJ@7TFZ5zPCE%;NWedi7
za&m?O(0L7PFH**ul5X9)6`gOY=C$Wpxc%b6A-7hA!nL^lQH8|lAnVm#y9QX;y?N`q
z*MBc-1W(!c(ZF%|l9^Ka!t{`vPg`C}Xh}gTTOGD9#zo`A==yk@FFnKW)NT;w+$`dU
z*4mUBs=EEuQFKjK9=;T-UmW!3Nt3qgN^ATbR+wkmZ#l-oFlEuct4rA(-RV`e0xX8T
zUwOq2mluA=`UrC|HjO8A^P*BK-ky+8Yj#B+byRrnv^u@-GD$|K($vP)i$i@1R2YY~
zeB^J3IhyhJKRsE~cz*atJvV;`K@6zj@9(5~ZP%tg-R_q$&p+n6lUj4-`@8RKr1wSJ
zlqQw5-KA*6T;FiFN^m`$%j
zZf^{I-kyjb%LR6%%iV4zD)r(%OVZ<*-Gi6k)*GxVVn!Vf3k-|`Yob+xVb?S?SiTo#
zCB(U~62%{i3I?{n`Ly2)4Tee`rzVHTIi0YXD{C2{2xi?Gf^R|zJ4
z%=nt)Rjs5Vv6r&ib;)-ErDSAeVvc6|{(3h$cKF8E^!w5!c@|qASLqQP=HWyV#Y_JU?lTp1!_u
zx8h-K4M}eK9j=_71cCZ|oOh3L3X~sMyZ4pSji$wQmnwK%uAQpi{ka_%WU>0m)lJ_a
z9n;!Y(*vZsuVrUnZ{9KauDBs^ZS}}@znL9dZme%9sgV1_Z3#gkDpz0#MT^&qE1qhg
zB_9)*Ic6prpd%Mt_C=`q?)=r)LWY#t2|{BK+ad_jP}j$v=kVq+%9th;1C5-%DwieV
zDgrF*;x)+Uqb{T@Cd8YU5HA$wM6yeo5ae|oK@MEnkR3(WkQsm?e
zH@6VF%l>)A;^$d`=81X=Ip0vscd7Ah4uZI(P0sfW=F5gJi2v5ed|V9#Cbq-4ex6&!XKZY
zn##8%+-H5Y$$`{qL_XAznA;a`67`=T0@hSkMuLMQ{mdghN0lHZE(-Et6)>W&N2#oYu1!QYCT7G69PVrf&@}DDJiM7($Z<s2=2#mV{Nv7W>~jwbpr&=B!K=m0p$Pvy$#y9+YOA2jNUoeK5stq
z%qD_*w(CRa+m9a?9UjDOl@JxBjT^oe^)|$8&B8rq{)7?|i<%o|sri$Z?;I%Rp{yJ{
z-H0R(IP?_>I2FnTKi}UQE8D>CdH9_bD}`Wiv1u@95KK23A&90sRQFc-+u%#0>!RLJB9ZBBV0@I!BIVI44Za{3c{Dm>Dg*VteC(S1x2vTq-PReTZ5@HjTy{Rot(@4+D(&oZe!
zQ2r&%eu1u-(QQS3iFtV@Fj{aP9>7J*j7C+HozwY5ba41o$LfXx50BDte}8|`P8C?_
zvrcAt5yX07%3>-FC6gW*B_DYle;~FO(!CJ?^`lxY&CX0i2y#X+Oa_!Ul~8>_-w0G7
z>ca+LFYofKP_2$KH~{ewDAyP2pJ>{BeOJ+td2SR*Q|F+=%qZjs#v=}hk?ID4m{u9!
z{sUnJ=)(EV*|TR2PMnCM_5dCE=A;`%SKe*%)mYH$4eT0ErP8_C2+vQPo{YuNSPP~)
z<(bjYEd11K$NL)(rk{S#wEwl>&yPTchczPiQ5zp#Rbrx3MJleV4*=Q70D^Hq-3)Mp
z=mrLD1(O~S&O{w7EG!t+4)eAFUOQ!czW8^W8x#gGND$PuBZ
zH>~wqhJ
zre*s%6VDX?vma%#ViHonrSmwXXQq{z)Ho`Gq(FMJ@2!@G_>JtOJ;KUXFrle0qknMR
z-?`<@$T0Wop*>BLz*$Pn%ruk>mWg{fn9!JAFx`KzRm}6pFfu<)K$qpn<%&S;ttG-2
zA(vmSPwW(dDfYlxV3QH|u08jZkbt#imfCFf*_#<0ygL5eOKtEqYpNlgZULJYinRpI
zeh>sNyRYtYseJ52$*md`p&}Kp9oLut4EC7piG?4$$d|_486YZ4Bdr0m{zs1IVXo>W7Do(=%yeGIAeqN;^o@eRQ!7@I}~+{qnQcpORYF!Xx{1EM=^fs@OD
z@WRC7p`oFgA7l51r+`EfVB+xc@qr4Vo;4myC$*^y7cSuAh;yFmk741Z3%CZ)0{UDf*MjNuei2flC{_N!7OFDze+6QIx6=*@h;i&-rb!`Rn2>
z$jx8ni)G=_Iq2Ih%qr$z(muS6$AMqWuP6c;7c%FIN_y-k_vX%E*>?2`Iktj#&*xn=
zQP$bf5to~5Eavv(wuhjd9T8$ZH8JdrWCqguv(;^~bUhboAc4Q3;n_vdd3l6(4&wSs
z`^l5%OV1!r9xr9_(n_33+5(p^QncjcWM+<#N?UR1c(J4HD00^Hn6P_E#&0$DY2V$
zF6ek(_IjwTsNJ0`=|E%l_V!Yn!yXhlj*E)5((1v;J1#w+E>g@1W;GW>q+ED(%9id|
z*H3VH9(tTW?i3_Y1_LIoiLR2NJ>Ct?;4@MV&6=xC^8*vXBXIx{Q&RM`{doE-PBkb8
zmw-d{ioG>Ba%5MXWnnQWXmxzwWj^^^8;IjU2}-zMPUG6tf;RF{#g0lt!OQ-%e9-l#
zO`DiYA4nGU*jsj&M=+yF<_z3DiSasAhXFF7NkU>`6+#zR(MXo`#odJH>4z3J!Z_B?vX&T9Aljc^mcpDC_qU8Ke+?_+tQ57Sqcb!!Sh>^SyhG}P9{V3IwsVh2*y
zQH5-VSZ#^}_G+!+1#yCSXMQ=)G_@wkbF`tM0p+z;&VGlv?dMh@ufXMiTT|$$82|;I
zLroKjaT6n>nAVxG?D>msZ$?d>@(W>(Ft$!jO^J4H{q;>T53z_dUC$i{jZ95VwNkkY
zh2(^b|@w?QVTcS-U+2|WY3bz=6e48B!@*;tZmhLE@M$Sc@f3aH^5KGTX==4
zz3!epdxSO|_eLhe26e=a#x(t0X~Xi`ieE?@0h2)YdqIAe|J^<0nmnvGn)Lj;P`Q^6%++IH7_*-Jw@X!DL2if8O
p>MIqhNmkBMQqcMT@QC}&h_yT|P^QF`pCIQ$+o8WbMa%rke*rndB4q#o

literal 66727
zcmeEuWmHsA`!AvxD4>FXw4^jhH;Tm23>^ak(j_g8fhf(;9nOGscPSFmFm#U8z%Yb#
z4%{>P{@1#-?x*|Zu611t&*7YXc0Bv({d@SLsjf&wNJWT;herfbdI`qEyAh0scOCEc
zP2h=18_hl7a??UZ@g;Bt{+-G-1p${kZ(V+Lm(OU4h|BMp%)hy
z#5<(xwq(J%T$J~^BtkweibhFhc0ITK@hS#i6My=sUM%XTyY##I(k5($J0z)_=iR1%
z>q`sUvwGK7RW3F9Ce5cEmPxXbbkQ{3i>@ksre)se4(dxS#GfDK1^=TovlyZ5KU#vK
z@bCY_}qA_%8u*brab%7LsovezlOn-
zwM~H7GRWdE6O)se%08aaxd!)|^X(=FGy*QZ)4Z=^U@&FhyewK+R5Yr>+d}3l{cnT6
z@N5ud_x36eqzb8!vZ@YiDbhZQ!whCf=o1hSGy)w6`Ru(ONEg%Yru9zWZaH4iTh@@l
zdVmm2(UQ5Tsi~jc{v&=KTD*9;PT1Mm8`pEgS47oSOPg#*7}Zjq!43N>y6K95?{rEr
zwV&z5J-(?+YzY#4crJCmS@mG`KYX>GYlLUi{I-Ie$K+d4S*wwqogIIZb6{Yru*<^S
zW+fE*(8|iH#!yszHC`JKLLr+$8mIY2q1?HDD|u)*MkrfTQ`3k&nicXru#J2yz?wHH
zwfK=#(C^5R8`202URYkPS!F$dcx;nCg7O3e)nia>O$nOmzt{75@A}_zmWweavA2S=nYev%b9a|mX~ga3VkmtnK)2PE6$3RfpgF*U
zjld?F4rEICC57p#Byx@1qW2%(sBoTdtZ5vO><5FvOBwiH@4A;4#j>(f0~?-OED9wh
z1FDE;FzHK=D~+l99bhG3JbVk-y!Ll0DyoBX2L=r1hSAuv==j)v#T<=i7p#@OJaQy41<<
z52<4A)-Na9wi_`Xs|otGzFYu-;BfeeQkBZDo}Ovbd0tLVOG1P9f8I*YDq@5L1;15R
zJ_EF|o{>>1Vsw-Rq^ql2SXLGd=+f~6|DJQzr9Zwcv-#O$laob-g&eq+3JP6Ec9q6;
z&bt56xk*WE-L7PWAv&g}bUPle*jZTQaXOl6GPI!V=Gf@g@!rqOI1ZW&0
zWvZhyws6oGkw=jAicjg<(`$fHc*RG#BlxNS?Z8DwxI4x2l&-F0
zY;M0lHB;l@*~60bR6w9=ykv6Leg23_z&hgW0R5G>?E<{NHWcl9{%>b8bcTp2?#s3&B4}$-VpRgA0jgKdu
zH5u;vkz|T1vRAOq9bK826hZ|HbAiurLwO;+(<)SRlXDZU1gK=DMi>5DI1?yK@$%Yj
z+0Zv~h}3-exQ6n(Jj|IGVkS$;GKk&kD8kqmM~|4XWc-^9sJZNe)kwrK$(GJVEVI6m
zlt!xGJDu9XWp|v~2`&xBzaN}zd|0n@@cbls28`Zvpw9pN*UaXI<6aT!fQr_pI`xVZ
zT7!gYPjMZ~>f=UNO$g)&+1Om3Y^7*2!9C6{%Ei0EkY_I}Pj1%0FYNQLsRFL4k2X{I
zu{hWNwD
z+-*Zl>zb;=$9%;8mjL>5z^ne%O_r^5iJqisum18lIDe9di8}7X;RJ&VRuYDk=1O=d
zKkCOJ%Ih*tYK&4K-~J-%YLolXyxG^bA*`~Cf29H@oFgG)dotO)#bdCVF_JdpVQYov
z@RZs5sP+K=DQ6@W!Fq
z;2S)TX8^xf+jjlsRqpS(>hNYSj-|pUoCD}}OIzu=f4Tjr^<64We1D>DJ
zH{L`-WOaB+F)_M=qSrF*{!I0mdjaG7fr{Gxa6^v24f!YV@P}Va+dxguPrNB~F?;TJ
zEfO_~1#g&09k+3`?5WpG6q7t1-?2ruT%1j>aBX?NYObo%wyi6|dW}0+#^Llz@L(js
zaO70VOyNlI!_R7r{M8m}9|o_2LX2uFbEa3b0wMXKS5>+;S*S^Ffzbr$!~7fEK8!To
z=(qnv2mWHQooj2Xdb;NBTAKO&Q!q8-8Plfq5wXL&61Ib*g80S|>mL>6UwLx7!Bq
zbcZc@O7QFmycA!;w>zi++Z5$DU+nb(jzy7_PXtplBBV%SAA1DiZ&WOkxnnPbW9&0_RFSSAXk6l4*C1@ur$#gOJyvEWLAV-
zp!xP$gq*TkpZyjT@;k#2?2u2!Jy8=(;FHYGx=&=Nwx3Q6EmP5im{F1n#a~V=u`Yw|w_w
zh`MYC;#3NYq~3kck7^04jgFMm5#RDfBkKgCe%q;)X(2QM*-l5{T81UvbADCT_F5;B
zx2zlBJ^v(Qx+{m}u-TRG
zs-25h>q?IQRMig(IKJg>X3y891jWodM(p13OPh7=U%S>|C(PcneDJL6Bk@^-t}*Ls
z_(B462n5{k_MBH_)?eNAIyu|f-n#1iVL;P&o?(8ZbX}MAHF0->nYgwlc?s~(?3Uss
zK!nM0(pcy%(q`IdV}`vrRyphuF*c?d>hbcJRSQ&0NjJ!kEiC-C#L3AtMa&&VEG|z~
zU3M@QfH)(8eJ2qrdY^-cA%*{lW7bFxwOa)|Auoc@BuMB)8T5=OOcHtYt;~sQ0cH&fHLADl;6!7-J)3-Mi<6h2XD`pVuJqoN!6LRWrG
zdS=}0V{?jr-}I0FFp){0Jgc;WWCe}65@frOD-TIC1Yk#^*xgS*zydU46*6gBDRJ7O
z1E2o+wU4W!h?5E*DjDIj>D3=5`+{+Uwq-4F=Xv-NW77#!H`@Z(E=qAvu|970EFreD
z4D!IRdCcJU=~~$=&!uCPv!$lKiCG@o4u)K~^xK?8stW0+Dhu$`g{x^K1xmL#q_avrAoi#6
zGY&*+*kk16=+MUl1m_c{sb3;}Zw5v6#kW8H;WsVw*vSgmn3r(P3$E!72J{z67@sM$
zH2}~4~l^#U*1l|1F{Qe)sD}4bT^w4w7`}=%CorM!nu&wm$y9_|Pf&
zV2}P0$Qs${GAMEs>j<+^mJxrpC*4a3sA~htz@}P(XsW_=)izz@P}TUe&86J&+SW@Y
z4iOic+IfV&Wzt<>{Bi-nPCV4%qa2f`fWRos90M?Ub;vvDWYQO@`vzeOTa!Wx6))SD
zV|kiiitkIJf0DpFi&%mR1ubCJL#^P}*_!RD%Mb9c8cC)BjH)qAJqd#?FM0*9UrEs{+tm8a~+PRPH_&9C64u0>i_$X0jaht}2sw#MZ;?~TWaL?~_2RJ<~DeL!y
zJoTi!^d^U`or<8>yOxS6ipMm5zh$L-evWL6a#xKne+}ZA-=}A9^Lrhz6UHa>?OO-V
zsoVN-n}Oll_{79UY14LP*nEA@xTVHT&yngs#`a8s9KG;-YZaGP#u7vJQ!JwV0b*Ah
z4$@|Jxs_26z>aw24Wd_#G4<0i+VfdnH7%>&d50*VP`*V|iP@s()ADsq^r7GbQ3-y}
z&!UO9AK!j(emvRUrZ!%5cXA!xUZ{TiTzSN`SiTNX=^-a=-1L+uV^(oU}CZk
zKnCZI?T_~aGmV}_o);LG`bJx$d!+3=#?93_Ht9?Wg42nuIi^O<<-0@s8la%FCh<+j
zEm6deIM}jA{00WrOUTYvRv|iOYG;T*iztym9!U?b#aYkCmyu-!tg;U5jDHE;EPcl`
zlk!?((>*&rj#t;fSw!aG+Y|~%8NqRRHgUW!PFpiIfQYK}H?XSck74xd$nEFi$Eo~>
z6(S{^t4f=5RLywrwn@E})X{73bqH+9^sm+9ZPO}i&yCp?cM#UaR3mw8^)9BTDYBH>
z8Z`++%t*voFABiVqu0rTY99+dZ~Pq%Ho^$hj+K1>+P$+?di}W0c&nk(aYmC
z91WlE>J+92W|Ym|?P(aokQx@&?jI*7;N#=7cS;p1L`FeTR3-U{+TPE&)9H3W!!{@s{U5PM150b95oQ^OCGws~fNG)$$en)m%ZB)8fAm2V|8d-*J9
z*U77BqAp4eNGd<7F>R0SHb8!#t5lC8|$0FeJEM8i=3qy{W&+O)EDwu
z-vHKHu1Ywr(s#*H;#<3mRCC{SuOC}`!4A(p#PD9V=sZL6WM!H1MoLW69D62+p%leX
z$pxIHd|mZ~$<)xX@?#le6Fu<8M#0sMgT?k3WfjPwDs6GrrihY^gay47yiV)FwSP!V
zpEH7A_guz4A{G{sfJ**QX>5AbEdlepoICRDy0??Z<|6*GAw`12;T<-!s<)?UQxUL~
zzwd=7_OF$F(yV{n?G5t*yFO>5!b)E!u}Hbym|Q!nJa5
zU`uDpDQ@j`@~qolKbu^gZAODYc%7Aq?YZgekz`$C@*#M$H2IcN=KD<4g1rNmQ6*(b
zvVA7PXs0giDC`dq=&}Bb&%xk_Kz!b_bIi$>zk6L-O)avpkV|^_rQz{5ZTTyP`!=fA
zu3HrQemxkU2aj|Q@Osk}AYa;HvS6EftuH^3qDxJ`ei96lD=PEW1(Sol5*1S(XSmcA
z~qX2l376|z6%Ow=S3EJYRIE?7r0d0N-
z6VOxAkmR&7j_94Tj-IE*+NLYg^9X7PKw<8z#Bt0m$EykhjWq^4+=ZjH*HryTR7R>t
z1w1$IJl^wqzXN-xY&U@1v=A9cbR$XdZz^Z;5%l*nqwdUN-3W)T)+za2$-AY_wT&0C
zh`hIhP$vpX+c@48p_Ya&w5b&?ATIXG=;B(bxgmdU6=atMTz&4(2^G35D30$%sp)tr
zg!!((J6rw$XClF+MWp`o*P+^c4BV{+hf5mTNbWf23$>Lkq;Hi58jY$4X8SkHn_bSb
z?Y(L#_LiR00z#RxB;oZ!>OPO{RhGhn$Sc9-%42x;YVBc;QNcya6lyeaZvZjV;8mfE
zRDs`3HA5-XM`)El*AsZkY`1lepl-7_yqHFvYrtoR;*~`d6R$HSC9n`}CzWKLlHpEd
z?wgSX2UGf->lU~rKsNh$m5cNhCNBTvL}k7el_wx@3M!JsteZD(t=&S8OeU_Eie-gB
z;J*is?GG`=y^Jc1Hw#NXdIbMBj5~TK3
zixYIa_29nHjrV8sZRDV5Bn+oRb5sFGp8nobgejBSPF*G8YILktD9_5Yf?2z2HG5um
zOOkU;v?PLOyD15Frbj;RJfOc1S9?HChYKH=Spl#2Zh=d&fl@xH>4Ud~
z&1VPc7nM?NK^4h?lkxcpM8!ALdAYGAr;V46=yLbXv*`oSYaec`(ngEl>&a=uU!J-;
z6ZP8a$ITu-$rxOE*Fzjfi=N6kXaBVR+sjVehT2qG7nM6(wMWkTXMGUJTTn}4(4>F!
zNFxD)f<)z3e~dzUp0M}8fQ*vSRe3;=7z$EhnTuQiVmKlPAH#*IF2>=RX(zLxBp%ue
zKlVPix~o_Oh-L{==+z0Gex<@d^Qk8(zaH}~X8(>e3jOuKknL+f)m9K|~o
zzLVr7q0{?#_-yxGl1dE*UTEc17h4-Tb`=Iu7T{=>wp-Cfw413oKlOLKa)*uaX(P{Q
z#!m9xGO9f@RzR_PH&qH^r92{?Xc_ZMaC-}rlUXc&zJA8ZDb*={+41E8kMsVAaR-wYu_4Vnr|+ntiPFd;SC>Y?3-y8_
zJMPKBU6}H`M&ivYt-UVWne-CpbCs_y@y#X0J4_%q*rkn1K>kck(zw~iK2yQuwI)44
zn@B}FmDdTiDKYDm*KQchm^=+QN-649E^sj`
z*m=s{sj2^%59Ia%A#yCN9yF68qu6+LIi+?5g{9wXD;2X0!XDAnKemjPc&4_ja9+cS
z6ru=p)W4X{`xE}BTPm>N>J*F=pjO1!O;T#5VGl4^uCTp5rs8sCeD=Ey(YP8JQXuW8
zbc>E@%O`AQh_7zs{66~?zun-g(GDSKkcIR-a
zq^*WiuQcAdo*gE#;F#$bO@}BeJy>scedyo_IBu`>MN6p{@t@o-`u6SV0y}d=bF<{B
zf27baAie9Em~SBuiMGBnYg2DLRX`tJ2}P?6B@#Euim%Z0jCL6`-t~{%4-|GJ+^D!3
z+xV%mp=-KWXhRZBd{tqVpOs$PoGKM5*6`SCsOYzIpK)6&C)O)ZP@>=Br(bkz;CXg@
zEK5msa;;v2c7pAXIK-SpF(RHBei)~4`E?ihldCnD-n>F@pm-dW%-b7yq8JO4Q8t?O
zHBr_mKoUWN>S}>-uyZ{{i2Qi<5r$W!>xN&mxw8^g4be#(1vG`y8=`y%B*q(jkkppepAyk<6{mRzN19WU%`M&@rk-<(A4}V5e
zpKTy{!gn{nz-0lta2hIj*&fwXBo!s5u;Kc-y2gZqJHFBlenB^q0
)Qai3@=y{ZaE*4#>rBu-N!dH8(ZCxo}y?
z)H>JfPYcu-fhq-s;&b$Hw~WI9_Fjl*fjtqcQ<`hw2&*&dMsy_#8^bBxTZ^5A*~%av
z+$}5yLWIVkq6XrAKjjZOMhBtM#{|lo4!2aF!By$sm=`85DEIw~9$NNj1!JZ4|IM6*
z;4(tN6@YFQlI__EL=B
z?UcTN?7uJJwmc1QW3p)jasMh51G3!u8`{C})_U7BIZ{@$cbW8MOdVX*QK1=o5w|Tr
z+M%l$m&xNPwr=dsuV^5f>`7hmDx_qUv|avQLKz
z4k?`Tt;Q2|SqSpQ8RHrkZMc}PqagE-c>*nd#TTPM_w_$P%r6?>EicGZ3e;AfTrZYl
zx8%cYjZR5_v-&Ga$6Vlm_bso_ChnrvZJJzeK6&$ee)_VY8evDkN9&X))1?lSJnKbJ
zoJK{?^kykNTW6N^Y%_byX{~44R)WC;K!AnDb7F+wZ;?b2dB4f0i4$5mVv9lKe+T-w
zIadM=Uc;5#TQsF+_oNy>sVU^t5ss3Pp9oX~&(#RYT&vl1#BG|j&+vL4>#rhZy!p{G
zy`BxODa;Kunm(tog$dDd(m74atWREJgK&9&>51K}Wj!lU>?m@>-uWputXa~#(-HUNIl
zvM!r-R6*%VMk#4$1h+^1?}qIDeUC%*BO(#<=VW@a*nT-DT`x^flWA;?l+L4n-bY7P
z&s_#ayyxX5^-SgPkHFe`swQdVQW$|4oy%z;m4b2uxea8O@4e;~NM0xW`^Ermxy&F`
z`dBOC3E2#}g|P?y{YDCKV@spXLz<7j{8YSPox+(19Pui0f0u)1a_|iILzeNB^#v5F
z9cN~;U1qoXT3~44z(jq4&^Izf(+DUH^8uDT0z!RIJQHJpxBDwP0mUX4cKZ-59S59>1hQvf;-#-oh+B+J@CF*Amw#<54U}1b-L50iB6M4zhnM0bMN4m=`Dl2
zWeGa7=NEj%H&T+uzN3AZsv=W-+-~mT;uFJPAKoY2Su|1m{6po*C`%%Vh4D`@K@q&C
zkH3YJF9Ly~{n>~W3ryTJe{o6B#71fDBr-j*rWMF$zai3^HfP!nNPamy(^pyZ)@ZHx
zZXoZakCv!`#X^*j?)tdukGhz@?W(2U!`|e##$F~)G1IsIelpHM45=xm->Ts*>kPm9
zl$OXx`L(21Ta>b}*Qd2@#&Gj!ZP!!irizL9!hDI$70)tAcNnr+MQG$~jH_I>pyf$R
zgJk*7d3)|{awcyz!5bhL9Gw@VQU77(d~kZ$KW4y0Y5j|GKP2+Q?a9D(-nl{t@b^CXpR?;W~g88s3nki4}
z&k@QnpY|(+k<@>@Y{Nk>L)Z5e<)0!@o2JSuP}{uEuvbSl9%?@JdUjO(~Cm_6ni@(j`@I#yVWaLmB6-h^DA23*X9pOV$Cn
zLrEVfDFHS723+<~Q+IgJMrS{BHo619tN7SJB}!jnT(kEbD@3{jMdKIL?7{
zg&cTxt)&mq&a{f_W$7g2dsT0Cwu_;k6NOr;S6_=SR)l1`w$|Fx#Xk{6K$6^?`gYp9
zzBnvT)})1JCX)htQs2o>U22aoRIC2s$EwzVxKdGl<$B&bF+NcEdf1)t)
zv3yW5>aZx!|B}k~(gEnO@!db#*?1!Q)7=Nsp;sO2M;5s$?**B&)g1KJLSzpJ=a+hC
zv{N-G+$=MsU*1+>0~ttg#$)PLi>C|U1Nkh$OR%BB#AWP$;zyL$@qGqjYc7GOz;A((
zc4ntzEZ0qGLV+0NCXwaE_7)w%U@Q!q27H!!u)nX}zfCT(F;y2jF?2?ka^OgFHQodeLF(Bhn
zsEjX)llig6>m5RDHY|(!Uy;i#n%OCVCZ7Ttd8?njXXUSRQ~5(F-Tur2eN64Rwdv!I
z6>BAO@zCB$)K-m9g9n;W{N3;YLy@m7SrT2iZKo&`?{Y*0mcLtHf8Qv-Gc`E{fzn@w
zMH}lR+d3K9!Avq`I|NMkR%$_l#goe<+avNnkC*H4jm^J}e
z#W_UpIQN)cMdwLo@vj`?8UBeGfqlG)3uim8L;cnUQ^6s#4H=zG{MC>tMK7E}%r&lp
zH4?Wc8K;R@d%VQBcr*uH8ZDuZ=-fii+u_|$*=dGPSI>ZOqI$4Cy0GeJzlr>y`>TX|
zEL8_5rLNzHaNkOTx`rHLujn)cPk7dvBLuRz*INk>P>GZ2Qyh%
zSnTa%DiPv`1vZQKM?*bDJVgvBq~mmAZ4Y(vFYjQ{u$(U@16SLONT=~3oG)mSiU5L^
z04i_Mts%qDwrCG;1Vb6k*^`SZiNpixWO<
z?!W$NxuDS&9N3zoAEELBpeds3=HthUBiNAVEzr-&5>Jx1^lnF+i|mj9w))Qs_aPsQx#7WC;X-Y0W5c7P>F
zzxke?o)s8mz5NxYzU`aS6VdUpDLS|~rjQE$83Rd~6PPxj0ga+)sbW=J@9>LX_^`8g
z1?3~E*JV+l#X+#CBT?-4>g+eETD9Z*DiVpgHbMP=>!b@TpPB_TWV#^hcUKUoQQ#)n
zorcd!;K}d^FIM`H<&`fyXMk&o=&(nb_X=BFDak(9R1(AxF0j;dYArCG_HLhaf`Zb<
z)ncdPZM)`Aqs<(9j=@jwod8Fi
zsBWf=@3K0>g%boRwC1C?yec`XjT^9Zx7~JeKa-
zS4I=R6Z5~d6{`d)3ZO}qJ(?lAOex>Tbw&#m>`@%DKSM_E
zeOP2S9eJ{_t)E__Kdv{@V%*}2V5L`-Au>nKw
zqR4LawGhr$f!X9O@2K;YCMezt?*+wq0&%ciD6~o7#NYo?VpG2gaPDl69vK~0e+${m
zN$1R{?bV;i4YbWaQFLEZ#7|D!n;%
z+XUT>ZywJH+IeR32~=^|o`}`|5ED}rdnzhp^H0&v#%3k|V@x{@^~DEk_qvD*`(wR?
zFa0r-H7$cM_$Qs(>P79o!+RkNjIjZ8#^a-dR)-;v60HH%{aJFEGzktYs<#IHL_=+i
zET6|$_GdXZq(sQ=XdcS#I3$sD1_T;M!(Ch2HSrHbL_AFyn;q6i?VQia?4(O>aF4^fWy?C
z6!#aF`GgkvAzCoy8cBC(x3;p-J$vD+qxhanpLoOOj+DdMH?WV4I&%JT_0#zr6ZF+xefJRrKmTe>ks`4ApIz&H}
z)v$>8>T+@^tlpk|5rN;`P9ZmB@|%IqMpzPs!|t|<$n{y#ZQoVIMo{O%vUQNsTd8DK
z<=|2Ts>b+Xy(^57PTBn}WW?s_6_b=wu0={v?-4co3n=~Olf+~L(~KV^Udm;};iMZc
z(}E%9sZCYfszOnuW;_w3_b7#!wHA{frT9lsx3-Yb(JonqUYXj`f
z)*P~`$v|g5F`?mCJG~)04J5gw)~)n_)UT));Ckim&jXE8?^I?J4h^e>k?T5q)w%6V
z;Q>jPL&L;>zrh`5512PHewDubZf?h&8}PJ(909Xo{nOU2%uG*djbH=hn&&n4$uGA5
z!`4>?RMke?qLefe(jZEAccXNp(k0T}9nzA5bcl3!cXxMpcW)Z*$A8YfPxlqr?6tle
zbIdWvq*#f1wC?V(eQ!*4INWdO`!V93@*(wlw&g9dOc*cq&8ZV^<&AWkt%$I;dR@G*
zr(g?Xia)s%R9m|g+dw2`F;JFO?()E%@cHFs@#rz%2l&sZJN~;iG;2_BD#||Zu$r~vM`n=jK)Y@*Y-iN<#U%cRWt7F)
z*`IJa{)BXWZ(9p8mpwjnK6U03clp%RQ+~-h7$PW4dDdN^5}$ZuyyyZW73f4<5h$`)
zTN9jWz7jN}yNZ(&y0zsAZA}mg6>lFFf)BBIo@RHq*w}!%>OI7Ptp$ft&8FiL&rR4k
zq9?n#OkB~<*OsKip_4V$Gr~mrR0ykOy9)P_f{&zDhkBFGBI92}#W6a|6nl;kq>wRG
zH@0f)c&i!nowT9@1yr|%+N>v0fh)p(?tke_lgXlKZDJa;BM>2iwGIKk=BZ~E8gqX>
zz8_d#1WeIz18L;iIW_EOtq|GdnaYxjS?;P5B_exAm(aTW1o0lPK%H>hk-*OeDI07D
z_;E8QYdZ_m%2=lt3uzh7`OoNygR#&N%01;)AGrsfe;HW0_SJ!yTw>RdfG9`X*X{7L
z@jLMy8)ZB8aO{ykRd#QC#mhE=Tiof0l#6>-yy)P4S@KJK!HaIF-oDOXNhxi%WZK}n
zGS%E*_*_AR_#1a&-@4E>@{pcn6}0Fa7oW==F4{m@<|yZE^3|UjFn$MrG-27vYwt>S
z3Qe_!KAq3ls|7)ZQ~5YNQQXE3`ObEbhS!-rtxl*TAU{1ka*CQD*Ry%><{j!jU&&p{
z4=eY;Dz|#WXk5ue;5s*(35sXMnWkBNJ8!Y{zDFx=~(&a
zaYiuROnuyg0bf*m`_Kh8jy$YnwN-PHH;N<
zN4syy7xvMI-s2w6H^tm)OgqB;e9~VDbl+YIQB=Hj9hPWL;0^e`k#_ZDkrJP08U(cNB`jXClLWSnNZ9TDsA`v?(%Nn{6O0r$*Op5BWYi6R!|`JK~_(m8%{LK2(t9ChHy))eoVB={a3p~)IH496yo
znm8v`c#w+$QNDq=7fuZbD2E!LgHVz-FR^n+74@IOG
zmM`>!V-&ptFEH&uCi8c3MF&Z1mPvGyOmtExH6H}i7hII+JxPCdh}46$zt2|^E4_Jw
z!XmIpHYixtazdH*PA!{0gJMgd*JS7Zb_$Q`S&EcPvoO*W5*4fUqiWLjM^3(s?TT=HWY5Gky`IdXHJ+y||sxL^~DFYD2ZU7r=`>ErI(oUiqx>4#?wI`8_*
zdos0dLSlzkM1$L>a)xAZA6}(ESgpEen{gJ3vk>|bNIwM_>&X=TidzcOPqI4wGH`~AXLBvV~`{Oi%-AYhGcD>SOTv3-7
zUIC%$W62L4e~R%<1Rp7~Ri&wzGN1Gg+7E>#2X5e!gRNTge%%Y6KBuCR1TN_6##jlu
ziCP{r^3fZf?pXh!>(XS|J8$q8M<)Hz(5NLDZ86MH-I4cSmjt~?n!5^eBk
z!s_!f9LQCYWl>eiwp3m0eDd*+aTWt6cO>~gA*|0EZ{TobIaQ5Q9reZL0XVT)|7|58
za`}ZR`kPG%MuKxr+C?I5ROZ=M`A_QU=`)l>nU=y!$7+0YIW_`{c3yMC{-dgdL3ah!
z{t}IEEUlZXcgb)2IJlty<+EIAb!c+H|Mbkz|EqyV$pmw1JLesJ|7I)tEtRZ?hAX%t
zD06hj&_(L7spGDZd1;RX9t=JrEQE{~<3w1U?(KHZ63~J2c`oi3z(72HfizB|W2Y*z
z(NbBQ6Aa~MUJb*Jn&X{5ekkEV>kw2pB2N*&B3Q&hlIG9eEH*r_AA#>gs;;6@v0-J9
zIvk(xD;Mj0-Njck^_Oqfp;kfLH3H0U2cRDwh-4jJrW)STd5FMNOM+Kr0z3Q$G{@v99`3?Dd*}gcKdf{@nbB
z2&wo=qfT4fBnPNlTX?FK3G?HPvJ4p%pfh*X<}|fxejD*r
zqmMSo)f|t$<{K{$aJyz)Ymv^@4?QbyC@>}PRf>nrgyG-xJVS#5^M3}u+Am13$*rs=
z+>HPy2aBqF(xS6kUolE4GS(L78JnC?&GRbF4UK{S7G8!ZenM5;a%g|@PW6&&w=bs{
z{*vk0@puywAYYq*O#jrpu1M!V5H$@Q*7!N14}%GeVBa2(O9*iw%*>+i;8jxZ{L|iB
z`}D|~-Cw>$#KMoFUs^%{06kPBc%kO_K>YDRG+F(3Dkr_s`Ck=ooq}}?Y1*BDYSyf6
z(B7vy{J<_yUq!~4s?cup%uo`R1UqK@JIfye#M8Ur5#0FqZ!+N)L1~dRxEO$k%+q<<
zLqTnPg?rL%O+zrp5SkEf%GYKJOH>uRlqp%emNDbl!^{m8?-P$(j*6u3lqv$MG}jk7
z;29-%B0Uh#~^lWaYtSz&B3H1@Gnj*J=BtKgOBij7rszcX9MqV^@wjDX6>k#8PT5?Nz|Es
zSGvkbLa>)%4^wa2ss2cQoBFUbiY3s=D
zKYLh@E}NW1h5hlxzId@F5I_N4v_R({rxJhZOAZ(DWUd@^7wY_yu}44^vwgBB=CLBq
zKZ4M}`BR5g)kiC-Y5IRIorLo_+TvUXqsKqsv^K`;X^s~v33Kd7khB_HmcD-8Eyd$N
zdnda^!2QvrRJG1>Jb`YARz&cyBVTPIzS@KOE6HHaJ&^)z?MJWIPTTTOx{|_g1&O(T
zVb^InNmNW)Q8@LjFdeP@bQ|=q?a};HTFNpmM&(^)NDgqKzU89LkLNdmV<;4h8w_py
zcRsy=ZXa&Z3maOk$}>AkblTu-RAQ)%By
zyA!@ZHpAw2a^Vx7Hb>x6HQjJ3M~<|2enapQt-|u1%ixw8U?PzJI@5b4xRa_khOM!O
z`CNNRPlu0u_{ga~Dx-$$end@w%Yy-wmxh&BrX(+rpcpdI5`Ix>w((a*L_h&q%ZFhJ
zkI%xdBHaj?=ttgy#8{G`Fv6{{B7mh-q$Epg0hfmkk`SmeHE>BxxWusLojUDVRLgo>`fxA!+Sw}ft_)=
zK5xme+-ytF`$A)gygaRqGDsz?Q}U9ITHifGO|p4^gZbQ?ZCOcyJP3v03(C;XnSlXc
z3N(so?sE0;s{E|B%mwT<`O(H`RORf9)QY#ViQvZeumJd9;I~vIg7iC&Ov0z|LR;_-
zD23-Y7~#MLwzE$hyzJ#DOGF%+RvyT3NrcfSQNkmChM&Gc8=|;C;Y0DdjSsynqhDyN
zz>a}J=Gd||YJ;Ir4R)@o6g0EN@H!0}wfTF84Rl`nGWU}NLb8zRbaaKU+PDrBE4_Gq
zZjX#R*^7!Mf~YSSDb(k*$IB$tr}2T5y;||VGY-GzUJ>PJ`C676X5!4$*7;RrSnb=(
zB*d|`!u;Fgxww`_eGfjT^&hZMpIsX?b}Nay+OcqAA6gT2Iz|jgO@`e$
z9qa@4rBb&HjCM2{sh|g*FO+f<77}KM=i&wu$QlV
z|IBS&1NqtBw^@)-XGa5Ob@Ofi-pr0ifL#M5kANONHp0LXPAOM|M9++&p8L%9oMFo$
zr3vpT^ur6}p?D#|deeV6*1Kr5N_tR5F)d``#_PCKOv7jl6C+61@cP_~{>|0zqf(zi
zi;?2`4dE(W6ZJ4GpkSy*lWIT#qe#g~zIZJhemukX8HuRc!7bo!wEoHlW=2hV++gnI
zex;$t)TI~A;gN~AO(}XB7r>1-${WR@@H$bDIxnLcXmwoWi{nAa*yt5c0o)=k@4j+z
zsu|Ph%8$X__!m}l;=p#2M)O+ZTDE*r43o}
zQLgaoKzcZd=i@Q8Zw~Ci-zmkO3XZJhp2kMPP`tlc|G~-s#x{5H$EG+ryyJe58#GH5
z@1N=v>C)-q{f8x+_wQK-kJbYlI5H;w9KMcZUaZXtW>rrbMI*fRSWx$Ijlb2>^C!dKg%_BiU_)=Wd99IGGSv6d99lCN$IOnpFBz>FGb$c^#7B^!7yzVEYH^H#(lR
zkqv2h3}a`+@GcMJ3P}O_tR_UTq&cx5RsfCa=02>O9fF}v#1n}Y+<#g?Be>N3bHT}q
zmo9peJ@>~X+wf8~A^Gk{4u7)))0>U%7lgVTMC(yykGlzf@L<9f;GwA?Jzn*-9X&%))B1hkJUiJ4weg;3HNr&vjY@
zhb2F$9G2MUuIR5pMmKY{6xu(HHn|lgr~J|Pn5$2+Zib#eU3KdOo6j{6+dXD?gxfcD
z<1H3R8lLTL(tG+87Lj!E75MpLG2Gy72ka6Mrg(4>G)$d1`br@EdF~@AJG$d@Bq0_2
zZ1n`AZ1;8W0;;>3N1J#u^|k&!0qcL!4^{ngPe``BwXCeHxZ9f^dR5aIU7ZX3ZAeq-Upqk()KoEvJ$yGJ5FHOD
zG8!{!)VXvT&l75$%wxkoJbYhpwOp|aL%pS`YJ9elykts^jb||H#inB;dI6lU
zmwCcJwuuuvx-*!o2!D`&@@sKtJ7R6|H|*cH6=1~OL?ckK9%|lgh?8!*a`#wqOPCi@
z3DOUK8)IfGw-)s<#>cM5@r=s^Q>4*3TkpnwoBD+3D_#6igphhD(bw$3z&S8kn5u?E
zsyCv}hEh#qnbK_GgF-8-`@3Vs9Sk~rA4?{E^Mw$LnVs30rl0#xm{dgJW)DBj>gaK%
zCW0MC)DO+HB~2hh=Pl+t{?(}3rU$wiBk~e6c!tcZoIS(z{b8%&c|P6aK2lv>UA#=>+&m~+Ha4-$wIKr^pEEgL1cxWQBotK#8I*l*A1+j|G`nu?
zrOFpHTzH#zws`De3Q
zs%(DUv^yCI8(yUfKHB!m4;IET)=*36&mFX_5AKSiqe?ptJR#<&54FQS+-L{eAFtBeFSxOW3>Q0PM9
z;_yF(?s$EF4Mu|fyYBo^y47zNdRS728~x#@^Fe16tQXd5B%t9kDnION+RgT;z{Qdw
zKSBA0QZ)1JIJQ$rPjWBmrr)N+W59WN`?aM?@c!}@M6`YmLZBO96cOLSo{=k_zmJ9S
z>O|=CZr70-F^tNJ=k1X(%;3ifiovEkZ~ixTZrr^3l#AyM4oGn9UPimOW2MId^Q_{D
z=J^Xp)Q9Jpj&6JIr!pfnI|704CpXecrj*Gk5pI{Tiaq=tM%R+W7(}Dk{s-{UELC@(
zJuAHsEcCoeu4y~Rtba8{QCBNf8}K@pt+Yn(!-NE^67f~Vi33H;%eBJMoxu-9DrXOv
zjW?7D?0>@9xo`Pam&AIfdgGQKC;gJa!VI^R@IZ2S{%5jT?BRQ=cY*F6qs+q5y=f1D
z5d0#Jf&CnWIS>PpU?_45xzGAK!f8xXt)+9>{rkUf=#-Rt0Wsyjo47VC1TZbT4j1Qc
z-Db6;zCFHz6;i)6%j_J3N7Efct)hWI0=?6CH6N^
z9l=iN!j%?Iy{7%7!%Wz_webdaB7f$QodG;u@*&8xGbIhh4;g~`PN&MikDWG>FHg&2
z*D)PhopYBGKY#7WZJ4(b^^HJzA+g~>pgp;V{rIx^A7s+H=1-m}2V<;G=O?puHKlJ|
zt;ibOIu6JiO82^V1Vhvk6JPc7R!bftb#1W}^fbC+C~r>wgD}N)5F8i`NH`vrQ(H
zq6kNlyKk~Tk~BlUugYf`*;x)1+*}q%40yNKoOhoeJ(SJH6my5ab33?knK&P2oE0Gq
zS+-HJORVyn8@k6^w<)8gbvac+xb2(2lRQBKmVPf|@#P2HZ*-6MR%80Po<@roT9~Bb
zR_GqT^QzwU#4+lA`I0>+bsMob=FVxw2fV5AYIjQz;=-ul)tjAW-gWaVqz|K=)z*4U
zoc|D&kdQ1}$19R`FK`v#IWY*J14$+)YW*)?o-}zvNU&sr5ucz2K^1^h7kOxnR56y#
zq3d#8SmJNYKiOwDcU!oZn089w!G1&UqAH^h}YMninNTbH@pFNwDG$=3(?&$nmKXFYp5VJV|(Gq-2O
zLk~OED3$SabaeDaU;}FXj4VcFu*ls=n>T%0TNGQUBnZMLVL-U4_3EM6MkA8-?ZS7^
zo?3%%;HaQ0`7Mv6PYK#umi^6{VSrsNin5K}!Cq&>x2cXpUp)N)6b(?#DZH`mo*TCo
zig@>Q9Ot61hRrR$f3p+ai8Br~T_1~5OIEqZC+5ehXu!GrRYKOFTMv&095F$PJ++uBtZ*)jzEr
zGoD?idb`~a0t)pXK2!A(saX%O=!>TLyU>Ad!)NspP5`oVB~&hx$UuQOEJPOy1|!n
zn!!lQjVwnhk2%DQu;ZpB9Fx^3*a)x}hVGa{^X#iL92X0-GmP&+D6iOF{_aV2jesp-
zTFuFRu4@2x5KgXSt~Dfyvtn-o_Q9i7L4c0Ipr+4nV8N%w5gQU_rEh&KXsVBs&bgQW
z>xFh_w`9oGvSP~hq^t{h7K6m1xq1*5kSs;MC6?7_Ya!=@bxi*tbID4#c0L~CjSZo7=mvBe*HoNGBXznUXfT7#Ur;?6Q%p6+tq
z1On}taG~!P`q1oduVh2njg&1CJ43V0tLn~%h$Ki;>iBFpB|wj(9FIvh!~5PofO-K0
z6mblW)Mc^xR4~2e&sQ-)@s(*O6+pyx*=-8O>dvvb;k34l-+uPrH
zm@+Cr+DvxBwMjl{NX*gE@!Y3}sbppVn07dC#i*#(+f&~|jxtJ1f4|g3^^wO}gP$rX
zD!%<%QeU6g-!BC}Bu=OIhZ(}j
zyX%efJ|lfBby;3vC)VmP!J=|>Bq;9v9CUH4AxxouC0~?dd
z@>$Kz0(!g?Ir2tl>s@#S;6D9LHVW>_p=f`%#VqRRFQDVZ!$wI^Su4_T`IU6t2;Wpc
zt{o{DJ1ide8%usfXvZe9|g7H@sT>xnf^$MaUP
zg}Tvvjs;Zee=c-EuP?ScuG^tNS?wJEQ!jFfecS#16C+Y|gqZwU2x)6;TE$KIIsP_I
zYM)R>#)WeNb5jGqL3b}vdrb4=;!3>_Ic(lZEH)i6evBQQZeGpbI=6SFtzSP23EIce
zW(K+}Xbo+-y*p2EVnjzkT$;IYF=~CYn$f=dAkKfLs7DQT@Ibjd$m{hinfb057-`kP
zguqcU(ztH^efX8^@*cgw9%;f;72IjO^`@;l%p4i|nCq(8bc8}&yn*VYIS^J`8<``$
zD_I3gXErtvkaIlRn6|dpPoHNeNA|2LGyauQ?grN(%|L{BXHMMW1VN(+p^T5)!+QLR
zR=;5CwC#ykl%pSq9;Ofz6f!&TH1
zXM~1g2@=L~ub-6gNk6UB0lNhrFVCB`z&cP)T%XK|i;RVZ#pDJtHyruv@yP?=zh&o*
zu=t%rM_%O|xvf9)0(#w{cywCz(LKa&p}@eTM4G#1Vd?e)IA3)CCKatuu2C;S#%Bu>
z_JyH{eIx2@$IpNAP+wCM-IFf6>bK&a7OS+!d8ndiJ|d+I{}
z_-_)^Us!O&-dr!`1SaWK=0UE2iu%_tR(H?c9~>qs?)1KWKWf2IM3-Si3*3+MVzjZ9
zxW3DPTf}&HyAHE)eeVKJyjSsDHXmNx?-U6_^79vMdWfJvJv^`C4m>ih_gbr5-9Q|p
ze8JJn;aBoM0;{|gWRS{r6f>J?#t{(rAy`!pKixhR7R9#E={4vQ!n~F(o~b9~W9>3Eg6<
z9XZAkfgM{PMjbn;_*z?LsKM2NkFvp5be%k&RUIGm?}^9^^U1Eo?@#lKF!IgGXfM
z#poa?NQ#v=75?LTh|ag>TgrZNqr6>^s*)^KrM6}pQmLCxX+IA-Nwxu$Ro*FHrhT5g
z#^!QI_kgygsI*7~8*}AKbO?%7wgSufd|8PLza%$l=UH}ITH3`<Seh
zcYaKo$yE4w8@CI*u!OI2YGn4EzvnIdRvI0itPDxs8i5S`lM@pAyk&cj{-neaQgf%%
z4fK2GN$YzuRgSXzjU1BcXKBQgXclUs<&CmHrBxU5G(Vw-WTRw`KQYg~%8^EEh2mcV;|(d0VOI3fo;PyGoQV(lsB!FQxAB+esnmqL+L~)`
z!(*u~goKSjPJK8N_a-%JPcuqu&gJm=4s8uSgK{lAa&o@Wi`q^g-*h;v4m#hV
z5&udk)F4yQ8{8fnp9`(VvL{BOMFhmWOG$1ryI6`vv3jTjLEk)tx&&tg2uXhff}l}}
z!Dt9LVI2HVXEdXg9Cd^Obk?^
zRzvlGoO)t*WL#X}#9pUq)%mP`1hd&R9U>A^Uw^-dV)XFp1h_lcRVnEH~nQ!>a
z&+^g}9^-tTxKSSt%H5DPL}I)o=)}48uSF3vRd-Tsc@!<2qJ={F0=?X3v`WDAtF#Gf
zYNx&23bWcGHT~Zh&w(6Y$4K~CMu7g&0mzDC8TXO&oW0+q>f&{O_cNVTmkqSc>Zrf4
zql*&X4%*6lr(IMV|0-LwBx?vlXc=!$L2y*3xb?N=kB#(mSFbX|rhjn%?!_*6ofME<
zJ})(bkBG(sa~Ez{u4jMT1E|jF`LB{KWJoqLN?4j3+vA?yLqNHn4pp(
zK>d=5f>JPj@D%)J_M>JHxLs7Z-=2R=M2Mz>s`PsHl#>2f;RJA=L2>ile(lks*Yo3G
zsvwDkAQVib&~V$2kupcNgQ9w%hBb#~{6qrCW;X3B4H51v=8^j^&?_VkG}>LgX!#uC
zDJ$5b$B7VLw2i7UZMLHNTmP<%QL(eS}z8k*^u1H_{`o_vP9ViQW?yk0tNV66*OLs
zOBbq^`Sg%@C7-zO@Zue9oN5Zd`^uJ0PEVgVtUNLt-+nFlHa0faHfNMd#3|u$BYSjr
zcNh8}kN}CoJE4V3jSV<2R3-1!P{N*fZgM+izG)$;4IE=EJIA$csiIrTO-UFni}#-&
zoo!o3GwHv;gJKuAI(>=Yji2tmF?iMInOmBe+Z1n}THAWI@tEOHR&k|KIweQaack#o
zq;?LZRj@1xc-bvaDIIud;ln!kFMFdhk!$nD2dYv&eC2hCnLj`TsqczfWBtc
zF{jz>y^zgW+T6*DsTXkZYCpJgtX^7N99(&RauN$C#A7|X5GEob0=`~J)XLeVx^1r$
z6BBvtaBm+y0ngY2K^#nLQfC$wi)Yd=U$7DxOSXj#J99IjY&pWd)?aytLm9ZX4Ukvb
zMZqSII70|xdYo)F<9NEA$o_~TX}H7jS=?*WaRPLxkaQeS|8gP;h#xwg;rn<8nL52+Nb_&zCw+)AR
z4hn}C1@rTjzI^E{s#%tz!jdwXo9d6DP2hE6=<4dq%@0neQZ4#MArs$PZZH64%|)nb
z(}j&!1a90HTB>PKha=ct+cf0jqs}LlJBZyz^Yx9}eKr}ZHj9;8tS_9j&t8QvB_r>j
z9Yuu+%@qp?C4o(-6i}!c2IdU<^=3q#X;aEFK|ot;#T?j^Jn1U37{L-
z^`hPF(ut?|*RNA=$?L1<%nP-f5pi-7J{N2=q6c_E)R^w8M
zi)rFatBk~TJ+0ra25O*hl2vm;l2v%Bra&wRvLel)&46K7qsv7+C!^>0TWQ87HWS`&
z1^-zQf}o6}h#68@jNT;sUkovMlHqr-jLGb|2FknS;K*=m!Rs;9CRTMR}_g&g%U
zwDww4)n^=@1ak67Gmesg?bDbDo`rHyMpt6@l{i9R>7>)r&w)wJkhY1~Jw5WtnHd>C
ztgk!&Cx}eIzx>_g`AX7>QCJ)SzO2OU>)2dyiJ7pE7Q?Tuf}
zS9Z1~sM@av-p7?LuO$DAZZ|7V;hV1(@P~6CEYOxJGXh$8?ijt`KcfW2T6_y-*xt%~
zatvk?eD`!j+y%-m;fOZwr6q1ed``7scObuRcMIw%x@fv9l0Y!x+3!?f3D*g*CS5vy#rjZG)Pk
z%RgP)ao4j-6VKuTw?M(l;;gEL@#=hCctKOm_NM!|e_33jG;SC0vyOB;ry7ksh#(^l
zLN@EpjdzqBL^mVZ1`mZU+!l$cf)=W6LRRJUMt?>q>=VXyD
zo{l!%&twMe!mq4=>)O~woAECl(4|DSt>HOr@Zm*I@Ll=x2h#h`>WPVWma*Ms!{5tR
ztv^Kxy7Ce8{l(|Fg_;meY3
zOWdAxs?lC|r;{W!`A1{!=RiN(fsEmlrN-3frOM!Ee2xIGYXWqK<<&*`CrYmms$4SdIQ@pZiSp3Mcli=!cba
z5{nAbpQ5hK+;@<`rovP9)p4Il=6?z%!=&QO6@rI*=8P6V$ehQy&UZxvv{Z7`q=I$Q
zsqKKyYin<-6;GA_XU|pN21dxc$dp@6L*Nqve0ZUiO?w#)T(0?w|HEhcFC#w@CDRz{J?40|W)7A35&zJJd
zhR=lQ1r+l+&+x@Bx$fcIJFQKITLP(3`31EV;R=Tn(T{E$ZnK?{`G!&m2sCtrN;bMIun36d=N7IQz$NGWPK
z?L77QT}KD$eA#JUU9Pu+$BQENL}K+Rn)9V`Q9=*R;_(-A1hyL|oQbhWB=3`BW-QDzY~*Ww
z7OJgQ#et@T@CJi$l>KR}IYC@~W_70H5Vw4*
z%Q(BXcHtX1*)G6wQn}x^FtLBVa;96q*_r5gsk~?@{k{F*$voh9NPYt+)4Ag1{sjoW
zI1|sl%Dgw5aLaAOoj#Z?IB9?{)y*UodxfcyDn$`Sa7Or*cK`eCY;T|6Eg4
zA;oPV4%of3Az6J3wvOwcL7+8Ecm?wGY|y*@(~g!a8mXnB!NWd`g0k_}5K37c&{nTH
zen(TEG41H^1VgRSh(w+0|7rm++-RE9{i!{#1O}I)th>w0ZHenl_ZM_lrcarz=41|A
z?wo+?{VEzd<9=(}VbSe<#Aw@CF@*E{%Hw2hD$0r^HOR8M?3p$KeK6wh)~7gPOyx%g
zDecCB3u%9@I#?;OQRgeKi~{}!#_vFKvCc{2M=UVn&lOua^uSSk7DrB(ahDR^XpJLg
zWcVjP=in0>R3Gv`{g6RW21#f|2LBtKe-Z=HPUq1xYHMapq1NIM>%sIPZpqkAcyME_
z@b!GoitB34O&f|9`)|7^Xm@ra=W+DjV_jEPn|vPzb)%)XoHx*cB8-A00^wR}5QdDD
zAJp4F+o?^i@T7b4X2{+=5iaY0PwbLg7__=}=3D>tZ=7dmm>B2cs6pmfwpY$#
z!;-kp+>5B<#5m!#p)0X6;<8NHHB0Q&Rq&;(v)$W^BCoSL{=`oG{GER4^%(exsHNKm
z5xbjsu}bO7qCNxP`Q6eDO%6sijzM9QFJ17@vRDz2yT#MB&BTqu5SRXEPS)1mA6m78
z?`G3IkFjoS7sh?#F83t2U6d@wMGFZ-en|%tdi?j0-<&sghJG2SdFn0NO|^x`_dpwD
zjPGxRG>R0LqHQI)=RRD006i4^-C5jL*ywzyzF+4qbd+0b|gx6i3zn^f7=Dp+zS
zvhM^P^k7gCC6ra4BfsfZ&XMUsrFR9>sQYI
zmJUD4w)I<(zSjGp8S#H~b|-mY@ceq|UR3>}K*#6C8v-kAc-e^K(yfETJoI*71f!@xE_^Gndt4L}R1h
z!WkOC`##*3j+=*4Z!EyXy8B*wXuo$@jJdise5<{q+q$;u=|%??OSir#`Jw`zX>_x-
z#LWDX^CHm>hn3-1Em$TEZI&
zKXH%tI2#c>H<%d2*(JTs8HT3Uc3@jDkDeLdr=Upd-TqEeAK1%3`ykENT_u#
z#a~*%RFmrQc#Hhtb|M$d+LBW?^RGHUl56WJ0|<;u+sz~#Ig4O|kDNlXcw
z0Y_xjZrzI#0~A^7CG_Gfd{RrsI)C?w4fK$q;j%#)l2;B2r^oKmwF6FQjXB@wdm_`W
zL7yccVM2Y8w!k5?B~ZESG0YD?F)X*`IPvF+PEVr&MvE(PWhemVXgB}uNUz;#XuN1?
zDTWrauIU13RPz1sU?p=itKrQ^b71$=M*XC+!%g>Jt-+OYeDU4Uz{|wnf4)8y-x2`P
z#C7h)8FK39Tx)bH#O_#iK%k330%{aQ&Q6wTNCmq}R$g#R2fr!ml78<-O3{Pel~O=M
z16)2xypkO24DKvL542;!f{G67h`Jzf-9nO%G>TJ`cWayEb38*?qEHY#2njI5bUhh#@DymGr{wU(IrA6YGy{38%
z2e4Z(oymZ=cdYR@iAvpoIC$9Lz_mnc?x)~0<7q6ggG4R2MxLv3pwGd;v#q<@B9Y@5+XN
zs|dm!mFHCt;5J}qc9Ak-dDKm3en0P}p2bC^0p?@OyiRMFAo>1fDumk!l_Uy;?shx?8XGJ7ZBhB~?oT767QP74Be%A?71BXK-zpIWg
z)p%aotzNQxp1Hbgt_$)@OeDKq6Mh#08~Blhwf#jkN+$8ijxgSSp>)&VTS1Qc=XseQ
zJrIo+sqRnfS=W#i;S4kUyIoI3r}~vbHoI&7&w6bHlw{fM{Fd%L5cL0+@ypYbu_EbO
znQ*tBs0nqk{6tjX;+TIjuqi%U+Di;nqd1aSxKXR$u!dSV*!1k-y|hDIoUlkbknsHI
zUEx@?9vMbU-6zOGP)Gu}AG!)P&CY;Fy7=qXzNB`k_S69^xVdZnjx
z4JxXh1B&s%%#cT~kW?~d$1Z_#vVR3)>cjV>%cMr#hoUI8)Xqi%0KD3e81Z;&u=vs*
zi7GL8T`kvOY>P-Gq>nOh@qijxk{oX_AXnDYxp!TpXn#&^x(NT1-uQguW>|f)bmZWA
z@|h<%81}QdaHklXB4$Rn>IJKqJ{tnQ21Xc+{`bOP%;~Bh;E*^JV6Z>Ao)8jhwk$L)
z2(Y#YLXK+<7U*hvY)%_>N|Y_Pc}Ff%mg#0F5T%ROI-4AS&;Z*v>|)`6sFj`7hHE%fAFe4
zpw1L$8k&Ih!=NAHy@Jcyi9$uNx;g*NUsY7|%+<$0MfZe|Lte|sAEuPr@{d6#VFc+V
z9+F6Z8cwN`lLREW{1UZfw)|V98?&bmvre1fnWo6Kl_OwKM2FKLgA1b>enaof_V;@e
zrIOzaQIY*p(9`kx3_UvZ4ND$xI*PqFZ8G(wE&b_>){Vv&BVkRF!mI-|I|$o3w!Xu5
zxC&^#%MeV5$amKSOA0{tEz#r3P;on^h+aJlTWs|2Ab*cM6iQRh4E6;Ra5`D}?v
zGFh13TV)~pm%%N)W4KX(pGmS$i9W*056a%26z2U;q0upPYTeguib5R-IJo=fSv=>U
zphX#u-t(u93f)%I9Y{E{2QgQFPmW3`FO3^%x_2(Nl0^Lakx`NwXmu-i
z*YG%@XQFm8oFrJ-jh03B$MtxwK4z~i-XLuE6Dhj+qy%yV3-(#nhOXk-aSw;3e$QXP
zsajg`u+O*=9p|?1k{L4LRD6IiYHY!`Dy?`fTg?u^4r@yuvDq7bV;Bg!$>6yFfg{|<
z5`&{og0iCbof3V(*YQMXMlyfLx
zU(en}PACNnqSp!AM?8CqterZydYo5*k9zB#y~htok)EEv6>lxj|5I8(@V6|E{VDe0
zBxn0lW4F=i_k_Fw^*5C*{=J
zV8)oO*O`sO-+k5c=afgT6)n;XhHZ)Y-2hn*#HS1kAr+suX?Ku&q^4CV`zZUfzvz>4
zMLfwMNVv)N(w>cH;75-oapM-_HLNUyp(x&gj_RH){cDz;KJKAA6TS5b~2^@iqIX~eJjC95Fdt@@B`f|d4rox8)c&ikK!Gj
zG!vXW9p1azlZnmja?1DAmUQpU*0zoE%(4(FiFOO&u`m2~A~a9w$rlzD%ayM#L(K4T
zj(xtn9l4nre~^5x=d0d3SV`u+`14wdN)=Nun36IvbX%V!iP6nJjT0MwbP@k?9a7{uV({Cm{IX@sYr?QnMDdcslVdBG|X7
zCW@hhBo>w5EIK}jBjEhAE#o(qz181BGA0pMCi!m__(Wl2g(lWgrk+{<4NG5Y96asn
zJSltQX`DSH5H_*ev8|6s%O4>Qd{a`rjNJz~58Gx+lu4TuTC;1uhPh(!7P$g#Q|#CK
zsBnu0g{=Z!EIgj)()GdTLpP4XwcvkqIImAlhYUm6Q8Cb4MTj`yt)_ehA8JMj@5mRi
zTrWHCGxlr3oU@=|cedv(QJpwC841RplbBvlb(*5wq!$s2VC3Hy{7;ST(gMi@I_olr{MA7CAL10fX_VNsdar8Fkg`S
zjGW_Mszi8a5gFGKdNNZc@K9|D2T^0H84tv~$VoeS?{#09?N0X=;>3{MG%bUy+BPfl
zU;#%p4*e>U+1hU(LhfZ1*X=J(N^@1uXhA346IU5%P$FaJ!|L%dAqS7$G}X#lAwn}$
z@V~{WLnHImAu)&XOmlM2J-TaKyW+DQ#~(y>eC?opD*3c(^5)FBGuA&DJ6O+!5OSR#
z(l1co5Ffy$D>&wIy`57gFd)g&NKU1@=d}YdjFt*2-{#G;C$UVcHwJ+WDzNJgC+TD>
z{&*jg5fWYb7V;%X;;6fA%H++k*Z7~Yhsna&ZbaPH8+_IT!{MG;>nE2ckaBc`5Joud82Y0TTT)_ksycTK2o#CFxA
zUc*zMcy%5yr5Keza$BD=mP#7h+p)S|UrBCZVBOjgwS>3W@HTh8!R01Ah5btM%W^#d
z+m?v4wvI-4AzuNh(8muWQo0OU|DA)bjh73Hq~{;U-e2{`OI(u(ePY8R$}G-Sy}xvSWYTy1d^h*+h(@W#5a?}i9PRRHqE2;?X+XWrX^|r?Bj6{8%BH`@_&6_;Ym!+
z$w$7*uH*PK2%M*psjedO{@vgd%j*KZH3aH;RYzNsZHsz2Nlg34_MsUcP#5S``l#?&(QXI5h?M%|e5?N*NSo~x_j
zkYh*8VC^@TOTU5Q=4Hu5pwJOMhQsnH@u7XUmb2W8mE&8qAS>v@_f9B`42U6;p%dT#
zwS}+FQcV?4w)Gurh>@c^D*HlMw>Oc(+Sk544QI|fF#eyO7`fes%IBfRzExiH*;ZLW
z#rS_Kp11979gc|MYpRL&e*~nEly18|(I8iIsxT_yrD}!uyESArW@>1B5SvPC$rPi)
zwW8l`tcb(xcqXY?PjG&_*K*@vd&^u*{6qBnXwfyFGq)1|Tinr8k;Vm3i{Xmqx^m^C
z!cfCT!b3+#AFt5tgK~SgK9Wn@f0>WUJpg>7|V4O(7lJbS12Ve6BwNL5
zYao1M8E~7!SDUI!$xyq{ch$6+$-Kw#epJZMpDUlyh`k)8=i>BRGUeoDJiie@8!wVU
za3-8vsF&)|YKbeGwKH13LpIRBS=p-iy}m~Q2B>~rL$>v8v*T<$U5bqUeJl`o>vkh>
zTqkkeDnj~!Zh5$UnNyMAuanW4p7(?wW(RhTQUl&*Lxy&f8RT`Dmh;iUu(aTpBp}<&
z5ZcS0k!_B!cP*shp)mtsqt6Jh^2n2;w^W
z0{t!D1g)Hid3fXtFW(7092KdPqfxY2lc~A*4$vVHT=t7c2ux2D&s0L3?833y0zQy%CHSZwWoGVT6~Vt
zy}6uo@4cbIDZ}gp!CxsYmJFW99;YZCT!q^iyEH!m;!ncim*gsRiewa>ib_x7Ek67B
zFP0zvvE2(IPPEX1Ej53ammQQggiXa~#$Fn#C=4z@S$3}k(JushlIR8+oZTL}!fGrU
zCzfcq)B|iSi{e%8P^s+n$}z=;+FJEaP~D3e2zxiMFaL-+UvmK>IZ;?u!#868dhqiOMw)qaWGx=LHOHfZlS}C8}Vgf&0)%F5;pyGUq%;nDdSjI9KOeB
z=BJ$-)2V}cZH$5xKE2xb=IhH?m-pHlqYEvtPnN<@dKlWARQlEDvW2X;)2b^?Exmlr
zpYD8J1%0&|V(lJxB(>hlESeTbuX3%%-Oixqx6+p0tplu9Zk&G}$QtDJ5Sh1$D)bXl
zgx%S@`)KV##T0U=hFO8beG_9k!oyM8;4AktEF%)V`@#
z?yXai5GDJQ#$L>0$i(c~PJD*dosG#R!pBh2FSJ+vW`&h?6E3p#UM#bw1*XX)+{yzn
zF8Vw^SB5MeL(CpS%J>cBa#ohDIY%j0*Iz0Yr#pOKg0GN00huL0o49%6a+Sj}Hn~2J
z`w$ito<{cAKZH?29lG^
zBH7UF{;M7;sc3A!%|FUzeCs>b_bE=Pjd#=5g{Sk&ja9XW1O2Sm5DDXouMC%~x5G`j
z$4Kh8MiKf)qtEkqHaqhS7ettteB=daV+V%z1-HQ#|N2gDknzSSv8vCS|GTbV@E;e?
zyH~N`?I!m(Lo3)4duSaKa?u(I6wNW1elEGQ8pX4$5B-%VgI?)!6g-K2y5?I*NvrZ1&wu2m>WoHCRSh0l`YLx-2B_0F?fs>vjFbH)e_O1WH5VssK3jhJ
zAF2R9bK*lNCbK_Dp!Wg2i9}U&2eyXvGEB*LIApI0xn#B+=E#lFv#zr8=Z(sGt9?6H
z11D@n+ve`S=PkX_scNBv?Sk2(Z~VAfr3Lc_wtqHq`&moh-uAow^{OHh|g<$h1mqI}KWfQ)Dv4C8xa~oZf
z0p_DuYC3B7XkI;64maP6^(y%PBCg+(9q21_eH~8w8Gm75SQ7Suz$;8y$Tq#
zF_+l?ZU2{V?t7{52;*1rD0XpEUUH2uCM29>(8iw3SVDJPpX>#OtSX_=xoR3L`739h
zrt#Q}Ab_7@b8}H-!?}&p>-L3->EFJU`CG_XW$esIWAZBD^~8F*)q=0a{udT2!W7-w
zR0TZgratzR^9K2CI(0fVCVkJFOXbzRpq%Bnz78W=mqH!*_}_7%uWJYvQmU-9KOQe*
zZ{a$5hM~IPGHK_Dwc-MiD>cry1p0I^8=2G6ZNz5_58qmLZU{
zUVwyD>ZEUx=e#sSJ7u|@2@Bhb-ZZlAU`+Fg&hgLBck$HA?~Mm{)=rK*N}b#+N0ak%
zxm1&Kb}FZ^rBsRM&Nk-wj9yLbeqr?L&P+MM514%@F|;Vq9j2jj!__QZ&-b0_wGsSL
zv7vRpX+W6TeqqxVNR`VIRk%w@VAXpx&@m!jgZRIf%0@anYY5r)k>zb5tocO7W)15v
zwU@K3?AC^b5N#&kKv84
zd)FySei!fLT5bDW%yWZhby?pYPSRfsq$o=c#ApnYMYCBi+`g=fDLoO&tTsS=#
zibmc9Ic;5Raxm)Nn#w5M@kmTgc7&WXPM2yhfogLCmE2|zs-WySUHARfQS;;VGA^Gx
zvukSx_(DfOIjsT`wa7aUKGK60+cKuQU+Wj)hF2_moT
z4<1{4$e%udIR1OIVOT{PKxL#WB0$veO8U{N{{+qMDU
zgx*m7=F-FS4~^d88Z{l6MP6$%q@mpCvhVpkX2~UFJuMe|Q1pu1ZS#Z^Z9DKPa)OP3
z_j~;F`4%h^WK-ba+ih!%rLV${5KQ!FR(!2DN=a?(q0`xasMVZXF~({T31kj4mYix5
z0;dVSp>Dr$_jg0Tn1e?zUjdI^mftu&j4F}QO&y$}sO^1FWBFog)7xO~I^qJdCmw9j
zMQBp!!1jw#V&f-HoMFB`kr}w#)gKThKEXeCaZbc(*kC;`;C%sdn+L&@-b>BF}ZRWovWOXRVQcG`ZkmU5C>a1KUwrx#{=(q(7CqY(TAs=4y(
zOLq|jAzX0;A$aa&*q>?wf_oME-%Mp<^~ltz$+~D}
zHFLg10~&Q}@3qURqDN>=)5cY)&+!L4rTxVvGbxPTb`Q8^_B+#wr!F+$9mYKmCJ6n*
ziG}0;kh4x&@AgpB{oxx1;r`Cmra7jCIy{|wo+VsughFA$AR4PgAoeC_lK!Qwk!2d}
zN-S@r{&tjjn96oD+40ug#kl4MQ%t&-I%z$QV959^WnV+sagyEE{h`?Yui=D>lwzJ|
z--mW|zh4W|>dJqg0wp&{QWyQxr+-`?XEcktO=-B+@K9&r%L@=U&I&)==#ZaXc5dn1
z`1W}}IowF;Y~qP3=)-7Qrtl;L7jG$;Y1#^RZxLt<0?l@Rf;cN8xNvbm3A;Gc+pJD;
z^%d>*r#E+#@uCmg3|_(MJ5KRqIz@JBfhDo4QkHZoksaz
zgLzP}_LE{b=Oe7+6U|O$KnPLUaZd+`y!=q~8WqMfMM{VSodpI@|Gy)UAF|n}F5MWaP|9c)}
zlThsJ?AyEI>!p0x3q~tIQ4C`33;!7Ci-FpkW5YfLgxmAY2qwq93^%|cpRp8-p-%h(
zw5Zm0)X|hYH3M-LV2*>j6@@n+<{Pv(l=A#Msl{q)A6Aq^+O6fSDWq;8k^LamEx3OJ
zRpElX5toxtJzSmNKta*B5YE-5^~)-=JpBvf&&IniJU_rF5Ck~dH?OPM!bt?*`@GS|
z#N>>57o%uEOrhJWg-6JbF~dIQDlQS5;+)a_1sEzr)mBVWFt=?kb{mNmZYpoizp0UY
zv&Z9AO}=d^Q=#wjMz-I9;
zKZ9L3fMNdP#3bi`m+>AeW__snAact#uEm8&L`}X1Kg{wNvWbD
z;-qyilI&ZUuZH5B%NS?#q!T`{yQ%ysr5J98Z3kYBjom8HqM3S}h$sN{olZM<#r2rh
zX0wT_fC(efznxra7bAP)+cLK%MX64s7}kBGlpEHo+B4I>E!BIK?mBZB5(g9vt0?e`
zfhg4zg1mJ(E=WyH4KEcBTvQ@)SwlYPwlMoWd2`sUjl}r=%WdkH&*b~Tx$d2Ce0)rE
zUf9u*$vV!L@bKUb#Kodn0zS+?WF_N4$;sq+q1yR$<%ipv$G5e1FILy%gSbSs5^2G9r;rj+!hG}QO$wifW8(WIJh11M%3dqV
z$svE&aYO_P_r1f?N_h)?ZSCO*rj7w1upHR=u0IAs->_Mh&s+&=10dS7f?3i93Rz>o
zN&tOHO-&8=TE+h1ym82KsApp)WMC%a!3gTLmSc0}7ab@5v`-dVo#Xb-TTAI(e2UGH
zJdEcmZA=#t?ww7g(8SIUTNRsa0cc8&U1^y%-Ybez=4fX{p|_W|k0=E^kT2{L6^}Q;
z81GFP|KPyoV*Dm2{7psAr^*Gr{&gAw8&%fOBeo^MFQ|e7Z8h4kyP{$y%ibSaCL@GY
z#U2Y~d$vL)NAy>rCu-hI>UIbc6e2}fi;C|Gou9UH`TgC2znFX7JN-TEkCjfGpZY!e
zbfPVBu7qF%qQzH(tP&yw#myg}igrz6g=gqC=@Q1f+bQVhg{%d0#wuAZX{f8$8EIBOZT600{Jewdog|wJ)G(}8#T%M?P%xJqz-A{Yh7fkN?wkkSG((sw3+T&?g%eclYbNTez98MZf
z=CT7Jco{KOScZ7^4PBQ|qo-sGE-40(TtxkK73PLEaoBW>5IMUKbF06Xbt46v-(aJP
zjDC=}F^|Q1a{REwnMM6ZHzZ~f3*%{Ri**;kTXR4Kz<$ciW#!Q0YQ^Z1e`Mvz1o;}&
zzJ=?c+Vw&HGYLT3Q;tfVsi6f~v(e>Y1dKcJz2cvihtef-TSj-8wQBQ7{I6
zNfb(}&7I|FzH)CfLZwmY+MVwuj+>|UnS9snd$G&lv?Cf9fH1Us-Iy*n*szGD2Xv7%
zuDar1?u{2JWC@HKIPL75tB_Dgk-bCsyXJLfvi$(tk6Kbu%R2gSZ*QwX#SV*$$U&_Yd#%KT7*cTArEIL^V9z_dC;8aq(RZqkx{a1VY|zVQ9bYx4KzWi
z>g$gKEz(P9a$3{-xaM=CtE#qBH!Z)FYE{u?T1zU0p26$3Tis9eNeL4O8%v9j9G)KT
zw)gff!SVU%a;SRR`Rx0l>CdZ7-}{3mCmoNSB&e6M!H7LaumSFplCQV4wFq*pFp1Dd
z+Na`hOB^K99wwbVAYkawq5F9y9^
zr~k}04wkTv$)={yb>_d-tPcu_65`a3pT{>B9Ui7$sdY<(B%*}?>NPu3zUaFH;Za`}A=hfY0^A+sMoxq%aBy+Edh
zXiGrhD%l73Q?u68fFrH>ybm8kuS#yeWsLW%4dxe?h7MZo`i8yz)7>6STu}~HGL!z;
zzk})AK0yF>G@BhwRyM6*;8Bc$1w>KF5HQs6`MgKTB@jpX-carn<|Mo9Eagl-?E*#V
zGt8HYr5|(dJ*#m#2Zp_42&LyAUYl(Edvn#Sa_d9G&F(c_!>Ms1J^W-&s@thh6fO7oS?ii
z%fji5HIbn}eD=T*4lqx+CQ~ZU046piYNb$MGP9GG5eF7?rl6m1sdw$7btE2p_=|Wd
ziC*IZxVB`M(4q4GQ|#N5{>Ea|2gPi+#@Ewd_brPsF7k~K@PQy4PG;Qt-uXbup?!!D
zy0o;kdoQrs+K)QRdytm^b-SBpm)f|qv!kT0j%}i$t1G9jt}ZfpFeSqzri7{I_vpe$
z6q9|4h5%JDz^Vt|+u_CS_^ZdUvpQOq=g(}nHG(R2y_2=x!e;0;CTw83ibs`-h(hhT
zYEEy5PlydPwwDa@;(_SlyI@Z51w$D}+4}s?LmY)W!JSI~dJI?1&jEhN&ae3c9t
zzCQVJl*(%{MFG`dy*Rb&M43yQun)Ws)ZWqx8Q=qnQAa^~)Prvpjb8$Is
z)3c3AN=l$;7#L(za28aHicQ`xiQ(w}212#pK*u-fl5uh2_;O7F;dqk$hqTc?_IVu`
zf(IjBf;K%S+eY5gnE9iqx^8U2Q9-%7M&k0j<_eM+(uSGd?Yvmx`Kj+vw`MlR+0rv`
zWq0rYsNI+bcwWrlI?aBlnQND*SORPRlcQ8@W8Y?YR(Ml707-g0u}Zmp^7f%OK8A;lzC^x4QzhuV@Bt{q{%#Yx5l%9&@~A
zeZB-$HruoDOQRi$woHj}1uvcTe%9hm&r4{P+Ly`i)dWsGbdGd$ooPi6B`4>1cw+B&U(dJt
zFXy!F*m1(u)sj|Q-7X>P&jNH}W&97vp(!8PCjdANTtC|bae~cTR%Ne(Dvp{+j&TKC
zXeA{%G;dyFPC=UOW~SGvg}Mq;$F1Rqw!htZm%8p7!EGQE19^GYFjHq6w*oVvFJyVW
z#(XlT2~r@RF?8m8(^}WhM^v?Zg1CI{0xK{wRPYS3!x)NrRux9!Q2g7~lVVAxAn^Te
z*nP1*&dM?5=MnsJ2k{W711ii`aBK%!ojaK~ShqbY#I)*5Y<4kP-EMT~DlN~$TfL21
z|6NI+d|^6&c@Rh8Sfq#Q;I)Xuwr^ld3rW{#ktdZ2w^>|sJ}rew;?sI$+~>K=5|B^2
z6L{c9IpLdLkky+W(Ef+{Qk>wWmkN60i7|HaIyI!(6Q@ASNJ+{@?s}+E@x)^$Mq2f)
zKAF{tcg^?CF_pzfk0NuC8NG;#^L4C_e^hy#vdxa?I(hCZ`U@3lJJwF?v1);@|YQf^2r8>0Z
zuZVnW)|yVSZz@t`iR%gWwx~k=I_>Z(Cu?kbRqu}Z5N3bG5SagR{DMKHfE#>irtGm{
zH(7Q*@1wE`z5Rv1E9aI|BfcR1<{abm4fR>clJ*)M!g`V80J_G<QbJN*m(Ap>G@M@@!nMc6qBKFx&QPwc;Nz?2_8Dz15g29CuY4Hi;^d<
zPqd-B8Q!ZRV8;HiWV+8&VW%fP`r-Hd&5Svg;(Ybl!|VC^XIM798*78Q@=zIVXB(LP
z-J6SE4dTm~%tw!AZ95L*y;ncokE+f-143*w%~kc}ryrtI-P?W_u%P-@M9dN;^gWw|
zUUCDfAwJ32?*=;=rr(ZU&YxuB1lCfa-Ct4Z-+E=UCuapy79aq9yo0IcL#~o05s}##(He~rpvV;
z^&B*~nL_(Pm3Z7^FQcD4hOZlBkzkNmy33sAi%&(m=V9?T{t61ImtFbruTXFYNY=MN
zjo26@-CP7HuaWV7gUvLW|6OlM2fr{3WTnZttfqfKY^ye(B)dLd`~<2iTYXV4pz+1Z
zieRt&e1D;+)9qgYHNE}HIX@Aq
z;B6P`S4osFIjYs}e0SRk3_4A*prpfr6R)h61k6)Xfw|aA5hy$&qPVPVyXB}tX5UN(
ze8cEa(s}2ITsl`AkaW*g`StU}Q?PgHrxx^%`kYAqYrgoxVxr3t$Uq*ff&)VE&~DDL
zz}xy=BVkjwfgXu9eum2=+@c_-cc2R%F7pJ;(HwYxvz83~xH-XDV8iMxaMV12SWC0M
zDx&lm;Z8r?m##LQ
zx8XslX?q`a)y1FASED&nEnBN+UN?<&(3}e2apAlAHfR7dOfkCyPV%~NcciB-^;tyc
z1}Gvvtk#5;Af5KF)1Oc4b1!@~4O=Iq`WPzyRH(4I@Sypy8Xi1UjEcVRD$>^eHHe@n
z2F*8TVy2JXMXGi^Wkl)ddW_qKUL1*RpeB+*qJmRRZHq$?jer|d%%bDQLOS2VicL;t
z0q?;)ucpSR0y#LiFRh5e5O^h8FE>O13|JRH0UOYeH;X3pQc(mRTMy?kezLqw^#`cg
z#gDptsY?xMvITX&vqWjayX81ne{aPIjsbtgG`0suqQ-S!uc=2umpCh=GIc8__nP%H
zyRl_H?AW?@?`LYSgZLlnseG^e$T4YL<*VIx{BWK=7T?1B^$=$1Bw~yIan!jxS2Ldb
zJL|N7p@7S4YW!G4%*?4O1axnURDBTpmvJ3yYsWI|{bZcU*n=8gA1N=1XBSI${T3jQ
z{<%CLeooDSRg9}yaG&0~uUenGs@!ck*2eFD3nSTPu8j2$hoyi
zTR8^*sOBwu5^|R%;Fh9f+ISrmwNP0;BESk2RiUyc#D@w(q0gkBvySX6S10yk*Slr?
z>j6Z9Se*yxSmToMdv3rWci??Dm*J`V>b!7LSn|UY)WDnBgtHu#9eG)od_YSGnB;7&
zum8a$$`smr;LK4t!^y_>?yYN{Xo?Xk5Em>GNcp?9u1ahh6t3EyDS{3=Xlt3*L(O0!
zJ6(=)_8(hm!5$qQ{Sffsc^5Wxu-eLL&y3TSlatfjF`mul0y$i6w6oH+G2Q$f2Ji?H
zgLXq?e0)5LZko9L@n)jjiZ*jJeGU9yVF%79y@j3$hw*=hc^^c{XsZ0U6w6e-oQ46X{NGyEsXUaM%bs*znAW6qM~|-umpW`TPh?!EA#0U#R|2a*v7*?o_{LiH^6dd
z-HI&xL*zyYheQ;$RA!2$EchT2|7Q2~q#QP%Q6z!
zw=ym
z$A5ure&Y@#gLUc;7TxoEd9Io&aQ}6TjYHJ^E>qa)&l7&e$D`Xe?_j6Po2|?p#Z$0=
zG=0tUi19zy!JH9+tQcS)g&Hb)VjS$zd3y
zr$5QXmAKJtq>tHbhk=v`iA~}|3;OaMGigo0A;WLg#!8Qb)QrJSFT_=2vHE7kw%Jkb
zo{EtQ##Bc5Rcje~8;$>7NY~`2KC-Wyld2drnl?W{Vf4LJ{O3AzG>}1AjG0t`NZtWC
zB_}{(wO!%jaT`1S4*oth_p6@o-A-gQLTPo`B#y6kr;u1|*7ih~6X$gd0*$xmU
zFEuFPwR9ydHMGag{IepI+#uH{Ce;x@NUk$=&Et4nO&MF~pFUNx?GVXLQa$MJmP6RHEqY+204(o-a}_1ZlhK%=5@aHZ!P
zYN6eF2PhZh%Jtz8=o=53cI+MZgk1w#05+YPpbQYn{`BP()|KNIA}?HQWtaX4A3R-M
z&+e@_GyC^FAVWE;6a4#VhF>%9pJ1H}{oWoy>Lupq*SXq67t+J*bXSjT-Z2mfnsh+W_zLv2fvfclW3qT4KTD|7{NP8hMTKsz(U)HNJ
zxfM}guQAbX+t`+ahCB~KOEh`ZRd2Ne^tXn;wWsT$#in+BI^m6LnlkFy?nBGYFU^UU
zr-qlp!HQ)KH;3_yO}6>du4nhn4o2|a>~YIh5U3jVc(Smj4N57Ybxp(%;LDIysp~8@
zU(Yk2(!R&9eT;kR0p0AseJ%Wm6E1Jo)52_S8l72zcimn-?Ov_}A998P@3YfqG$9VD
zjr_3$T)VTNXd*THmV=vBQq=YJ&adJ2M-?!m$)6S@7mGB-q)r%i(r7&)L=^QtQ&??*
z;|2G}yi&71)OM39T=RbJzaP*MV1Ed60tMBBl*nCs{L+s@X#SkU
zTwBHPZ(R#a@NWS}fqd@u+W(I@>E})lh?CLb2qgYLb3v$oC^k1#K8Gi>Q1YWm4Gjn~
z9q!`&BgeqT_
zLXcphYcyGOS07-EsI{V>HYVC-gMq#j1U(Hevo#(NrQ~8;DE*xt;ZqLLIiahPD++;1
zaEUTs{eM@>uK5ifkT^|>-;&E>o8=fFOFd+UOs57F9``@WvtKA&@K)KVDd1hexSx$ar|D3A-NpWnC)EX?{Bt;_P%VM
z%eX*21_)r>5$sMd9tAF=gzRxjcToJq-|T>(=D0Be##=LLe#h
z4GHasHbBNG(^GZ%_bN@2tCD`7XLl%ri-YMm_#)|Dbz+Rkw*T%*g7Hwys<+chJp{`E
z(aEn|xn50Vg;RgzFSV0yjb(5;UzonFV|L)=l~TcloHK+Z*=A2{e=+R}OToy4W6M|L
z|Jnuuz_#JrokEVZw7-FFOEZAWQqs=>Io
z9tBPZWZUZHQ_z~b@VWBYW5yOldk0JG4+Ws4y%V18x`_-vM1ii?7T%qdOTDR**aY#)
z+m}`Mx*v_=qzl^%4HXQ#ftks4h3U%qC)OTGBBiR(K@afxPoB%7)C-xo?!*8
zBiUfj{#?v+GrzyvV1Wlv68w`Mbpa+Y?WWR^A?do;_u6HoomU;*%sXuJGRpbCn2138
zKe8NLQVCOjlm^GSaaLDIpHte%L;E}w)JS}QoN|%!qxa7GI4FD#`=-NlE_qey`=QY@rTI_AqBDQru|mkC!I{|fS@h1}=})A6W0A6y}q-AQI+
zX?!n=cLdxkTalFpnGWkQi`cF%J7X(y*bpfjN)=(Wo
zOnJgAPpU4$N;rT1I4!;E4G9>zx$YQFg5dlWy#fOHqugjjXZ*$6?YYksgK2PZd>W0J
zJ{zxleBoMR$ZCw=rx^(=J%kpz_?HCr-+D!}9LJ!6Q&%tJ9M!2|jnlY&y|pxu5FOLm
zFB!WfkS7Qj(9IUrU&k56H|h!|DyNYjx)CBA;9VZNQDpXL
z#y02=PROaVMUdAUgdp-xdzF9mS?fnHsXeK*@&98k>atsCz?eNu#pWgd@4e#qokk;=65~Pr1OE3xkj*7Xl*AJoDcm$~
z!H&m~Cxz`k6MHF*9J&idA-9Aj+jgvAk5Pd*O2Lh99%P9~VZi^NUYhd>9H6Rlr}$Ry
zd|DnI_W#!>Ij{G>sNN6gN3VqGHHnLMFQ#r5--WJUNiTL5pX>MGoo1-w3yPJP#cvKK
z!=#~~Mp)@5XYzl&`qc-TgDHwmfB7g7Gb?m^1TE(&Z|FxaC4=*=>CMBeQ0lRg9}hAl
zS}IS@gYp^L=c#nPz_W{46p0j9GF#hKEJa~PR>+uf$LeYDMSPC<@AP|d%0+fB1!Vw#=vMQQB;G251@j`RU`>r??;BIlq)dh%@@TdtKSD<^W~@%O{iRbM
zp(uP-_ZT4oWWu<()Vjy59pV;69}|}-A(qv4`i`(|hbbwgH(wZaC4L_Lo#{&rae54B
zaFZtCLf_}nv|7&vavI!^<61ba0D{dMRjkR;bZQK3<=aE`7mQC`{a>9Yyol%vQ(fef
z*^kahkR)zo51H_(v_{wa(>ap>eQ)fe3t~(X6k!;zo3){}u6H(tQjiixbJjDX#~U>x
zDCIFuC+7KMDF=@8==niyE_^WIH_7QBLU#F
zL`d1}WmTe$yoK3nBi>#J*JfeG%jmb*_&i$9I7sihk~jOet%Cm`W&ldSN07h#I63)U
z9W+mWv6luIDS#mYC6fIv8@Api8vE&d?RXBAj2@iILW2cNZP^3oZ*)7psaQi?$
z;R8Glu)N;$05CNWs6E&BZ($0WFatu@S)eY%fCxhg`$bgbY87o)B
zov|6cvCtCw5R=91JUy+Ra(Hc2u^{~OhReAZy;lE?2kq@GBItiv!k_VA1J#4gxb!Rj
ze$WFoyp~A~KPvT$Z$CV7{VNYfaG0<@tx<0hdVc7DF2tb2`3k$=TIfo
z>tbA$ULyj4RCyujOVFzuZTIWo)-&tH6QbjTLz2c$st+%&4)L-aLp&zcc_X;|nmv<9
z1)X~%-TwTz^~wrORSUxWXF$6i>C_{E8xcJrhus!9*0=6N09p^q6A@Rx#0l^Py0>Yq
zu5K+|S=9Dc$>TYdn)3*bxG-QoxHl(}_&oh8ZDh`)~q_5oKT!|xiw_7)tQFw@Zj
zgMDt;mMBrDZ8FGV)v0cv)0V`*(>CEY?Bsqp+}WR6yvkOQJjIBkvDNz{dHV;neV)kF
z+B1suX>QZ3dT0K-EWYSXT08i0EfV^f3}@s_rDFWy(pfAdCow6y4UPY!uveK!!sk%q+}XocFfK@r^I{Ld+YBM
zCF6ILYtUwOmhXX)NUz<4{#10F2-M+w1nB*J5Z;Slejm_{5|oAl0542GiN!j*x00dy
z01a5+s#!i}d6eo%dTw?*ZS7|lsb)x!?kiZAB)=nJL2JMPJ@b{zB?E?zD#xf5U{P?~MD~CGhqzq`@D=6)2
zzI<80)_XK)fHmTUZj=rd-DJj}+{q@$+voe%eT?xv0IMe2WJ;I!)v9=19Cg^_amBOQ
zSx4?xNk!k8-`T$$C8lIArlt+sDwYQ5Y0{uIbdh~n1V&N{K_UdHKgbkc<-8Drpimj#
zBm7o10tVw=OrK938}H58axHE;{30nC6uyi5_{|wIvH>#Jb!2`sDkIds~B0({s4N$qYCxHn=|$<
z1YU8DW(AM&7yC{g_7|Thj03CEc*{ze8Xt;Jql-ER?|<1lec?vnInZLl8h_7Kt|z?+wrtV
ziORa!n+m}fV>I(l3TO&Zj321hKTQWTrRvrf_N)KVJaCvXaGJ8M5VaHI%2vB>B}Zn1
zfztwMZ97p!x$KmXCAOXVV_D2U-+z2+=Cs1x#c)k)rFEh~T7h`{G)7DkwmX8Q5k+Dp
zUI;BbD@JT=Bv_eaUHFVELypUMa0Tu{h@@W9fRF6Ke8`+L&#<)p2+LdWa*+=6lW)aM8Ftb593JMtdgMWL$VHLo4^
z*w62illv@M3B}ITyMbZt0xe6H*2^6>yP-TGUN!Q&*~cs?i34_bDmJSgt$(ejoU7ex
zFmiIM9+^>fZ46nhN8mXP7*=OT(8P8>-#852*VyQ%{H>QpAQhcP#{CGJFes{~ww&p+
zsJCf-rss2|2AH>JfJ{`{M~X;7%7#2$)9byqB~l?p{2NN;b+acu^^clnN++62&xgc_
z>3ea0UBuggObBLC^>;m5U)06*2V_NjtX)Z`51e_Z;^b_(qRVD83l3d
zXPVA>8tEZ)iuj+61qfJfY@&0_P6An$Abw^R*b4
zHOrb^ejq)l^SZ3DyTd!m-0AlX$NXgIa8Mc(-@Koc*h?Aoj;uq7oJqZY4!1qeDk(8rJ0O1@X1sq;hv*h)8AvV(Ojv6
zC=H8HVNanz>*~B-vy0!Hu4AR+C#zu*PpC^jI#|iro57yMtSgePx|J${NG!;})1g$P
zi5EWMp4tJ7|HA)a>notL+`4W-kdQ{YkyerJlJ4$CX^`$t=|<`9M!G>l5NYY|?rymI
z^&8)~_x|H|=s5~6PwZHG#hh#EukC{+m7Cf*?Duh>O2YGHfGrwloA<4MRV$w5*b5md
z9w>ylYCE)ys7eEblK!wxRe$3Vsj`-YIDvcbKf_P-PYWkKsqF>+Ww#@rXIn}{Gvz&;
zgx$@WvM{%C#bGMsNPjQCn_3Bt8B`fEZ-h_xYuJ}8!hyd_v44L*^?9)!fojJx==WDM
zy@bVgzthk0u*Z+7%#avfS-qc?9G>?1wZgmbYHU)m|LF{|gnBu`a>s2I7fQCf>c|kh
zL{XYOVF{gQZ^`Wnb#=$nyRb^Q>#W_0D?Cv~dU)M(r1MVMnff8|ZCS52a~rDvyQw8-eq-U@_9;=Pn9K
zRbtkjkBAWio%h!Y^Oo=H_~fb01g?xXM@`Cj60>0Q)MRsd=bI@f
zQ_4&@8wacCfVq}sVui62w#5E
z>1Gfa7uV}5*7|#bja*>ymjN*k_uu^xw*&Wor#*X0^J0S$jyp4m5l2lt5j4i$vwKZ8
z6xKDwrTI`#hAZ95qbKBOANLm9Dn(k=O(l^q;o&w`=(0$
z?v)D)@qoY`3f0_0>KsWfUDFLi*7&D)S`t(K+x@p^h|C=x`1?o3vT{#QGfw@RmWSmE
zBckK@w0zI8KQ=~AQBgS~*QhjZA@h$}UG}wSzZq!b9!s
z{&HaHd+k?n7i8>v3H{p-v-$#}R||!9WltP%+vFwU4}pKits_&Q&P=Zh4ik
z;?vJ+d+>!o2FA}lA$Qa3
z04UJCZ^g5$4-UM!+QO)Ws%VYS2nC@6lbt444@&(Gqed#vrm4{O{@t#9zB{3`JsxnF
zbN1<_J0gd2f7|$y5m3%}UuZJp=Gr1EJw+u~XQaS%8HFW6`A0=w=}mO|Wq<9BSx
zc81w_fh;mUb09$9wLd?30N%;eO5?yL7%Pkgpc?gMsTIFreh9SqhiHW1v6vu(f>NZ`
zc|pa|C;)!S0!Wz~fQbSCDu;JRrU9cP{n@RjOeTLi5<_bYKs`r}(<>B=`pwGR63%Ggou0^IN;GwIoOOw|Ql_!ZvPV=h`jhg7
z-F)k)$Iq(gaE^SHZng*BT9XvFnx9@|tMzOpnW}Z6ZB2y{IV%KqpTfAuiw@cN_lPZH
z8}l=S5gVM$z1iJ;7N~yn*%Fj+(Puk6a(SIN^U>|z1foZ(vmEeBC@vzYD{Kb5HI=%<
z6beyEIWGB>-@@)K{Bo(h=yPSI6*g--K!!B#*nsbXAK!iZMuK2-gG+67-
zaCzNbtUg{ZZ=bAoUrK%htgsOD+q&s1g?JQDyda4V26uw-4JP$Y`t#@HxClHV3&0)b`8+>CRJDMEF|ut4
zHvhpqh?A#tsUWAFW-70q1!hKX@hUx0$_3v2%&X
z#bRpPQy9JC1)1`xY8U%}DVZ1ey2=yUw6j~5JsrhnJ9U4`i_FXr4{$ErCviOc9+z&K
zsju%mT2Q6A`N>7r^SO7M2h$fK1i{gOsL#FbqX+*HX$U7}-$J{k2kfYCfCZS;)g^=_
z+6g3#ATI`1C%!KPe}0e#{+sx&qS4>q{{=D}OjynY1MxjzU_k-F&7c+@HC5G9Am@VW
zi~UXw0ziw;$cW0J#fub!L&p30TAo)>Pw(KEoz(LL8gTyd0s0!CFVQXz3ESxgIs@Qu
zR|3!&2_hi~gm^h_#5TR?P6G(K*0?{83bBpdG{cSh8DKR5ZWHN`-DPSN5tmXXr8a&Vj0+vqDhQ+a2LXU|In+`}-qgyH1#j&`Dd0APy{H4ioeX~}UN@(2(?fVi52Xryb@Ff-S=KZL_mjZ}(
zaK3<6l^IJB&(IGRA~;tz!roOF?2KlE^`7kS|GVaNe-C;QtaBqHqd;O(Rx|X%G<&H9
zCZO;*1{a#i?d0TJ(Y*Jz+2xqTnU{wrwdEM~JKYTcC9X%smx1-nxwa0BB-2NYzr{zF
zjeu_4KRk@eV*^ZL1Thc$FGcn!N?(ywRfCWY-hFWbcNZ!VjRE|D&)0%#(_;GXzKpV-
zd4>)(7w0;BrNuH*4G%t;EH)d$kG0
z^nW6>H*g=C_WZrO+%4Pg-No{#$BTXhzlUy-4h{5wi5%GI+
z9^53*YeVc19#~4|=H{2bA`h=ddx-=dPJ{!lET_t#R{)^WN+k_KlWhdDDG(_@u;kwG
z@$p&AM-pg=
zx+O!HLs&~A*%XDd<^ti^S@w%&;*x4umA(F7J4(aw%CvW=o}Ez2)D(kFGfrYx_obS8
z9=nqTPq^tOMPaSJ!<*S?hZ$^1!gUoJV+wD``xT$d+lOExPULcgu59__Pws&0t{P53EW_)kdKZSn!ns
z$K6ep7J6eZL~wdXRBI*0?=b%`Je{=aXJ?}*A9~*4
zMbNTTR)@in1lzVhhvct(hWjdXKRGFRrbuO8W@5~tay}ir=}SS2%lJBhN1(7#YUF&0
zx>PjxhxhskII_sv^45Qd2v{s$-Z&hIz$JARTC)ck%HFU?M;b3bP&I4ONu)@9m>emr
zSmaf#4-+3yI~ggVSBw{cno5^uR3VlrvH{L2-oRBJtrEG&o4@QnQNxKTTDW`>a3A_3
zyc^UJ$h8JGlkt;Yzds+HG&4%+UK+%p+V0sHKHW2Uni$%HrhWT%4Gi3`&s8Uyt;=TkSTANFus+6xH|&~_nZP9Ci~~dYw-oDQaRl<8YQL;?$90#`fQ~{
ziDGG3Q6&!N#dEod(9jx{A`iZ|Z{OzBn@0h%Hsmle?-(35B65=ck<)=_{NYYNV)Iud
zNuf~rW@m0Ve#iAP=#i%F?cj*WL6XvU({_BiRWb5g=K^i*@P)}@-M8AvV*P+Q4Hx6D
zQ%}7uI(yi}4aTVQ{Yg{00}}I`G-BbS9oZlDI*fPh4EyDn6WbHwl0??&N;1n3BAjmKU5zaRdFqsqoBB&O^WXCQiFMcYiY?=7St!U&UZL
z7!ZasLN3|!q2yiYB{(%Fl=c$f(|>QDPaZ=}u!1Pv)5;5XM0G3
z-O)9&aw-kV(?FW)ZxQGD`MGAb5u#yl#A>o>#wq|Lg{Qz0@bg|QlB-p1H#uyxzl~bI
zuPn91>IX1Iq@O?@a*vdUKN~BgIxNrnR_pELuNK?Yt|F_HTs6i2jH0{fDs&xDU&<`4
zg=@XqaRudeDa|@1F{V2H1@lN-X0#5^?XZI{0oz4yZ2hWob%)!lUxeO;s$(idmi%Pk
zvxq}j7J7bVBq|xsNa7Vq{j2-W{bNAXh3iO5#nKEX+M>2IskF)CPd;+8JM=nrW_Nmb
zZxuD)9F}aPdHoUHJH+&+9b@K%)*wt|h8a_o65bj&6#Yt#kMi;xEmQS}Nd5OW*^QF$
zW6Tj$JpIon{4(MV;=Ib--fY@H*qUsQB%oWhIKVb2ePA;le=im)>u5`R38ex*ue(h>q(Q-jjUz9qukL
zlSA7&(H2uPH*-MhEAX(2R)m3h34G@dP@s)Pm&v^yqV-|~dF~iqRY%9;p$!J9z2|P>ycz!7)TDcD(r=!`~XSmw+UqW5=7M+iZS*_++q4Zo=U#1O%C>nV1
z#__+Ysd;J{#Uc_fuHZ^5b=obCf~6jhp!;das|ms+`%A!}YUQ7D1P{
z118BQgfZAUJ~4-zJ9Rs`RuY?4N!Y(gC)-!QK%yi{=azT)boy7*W_kDcHkQA6tOXM7
z#1&_g#en*N(7{SBWBvX{?KY`uRMhprw#z6={{WvTTG&eieI
zNDT|%v&P#nG7f&;Qg51lPdbw*J-@>|1>~gd59_9<7(zh^1mW^tw)pa$53-=lO&^|J
z0>7`?da?O#Ls3%`9}v#a<@qjEdhD24SZ>!zpAjHB(l@|S+z-cw4-mXMS{wj~VG1zMjc$O$1Pb02H1b2A;i4z-f5(fLYv
z;)($NlW~slgC-ws(+%RQCoeQ^`HQ+AvWk3bG%D%#!V?6-DPuU?Bwt?)9Dmz=>p8(||}J(|rK0g1Y`@^}vVlnXLqE>rg_#C)@%#2gA8qb6!A>1awH?
znl2lJPJ)!lFW{dK&ed7&PFLy&oWlc30)!C^g7MK^0*>ts(&rm^fJ-(7TM?t7jubfN
zHKrq|9uHUZHru;}nI?eAaIrUOOOXkp+!GM(HhW(wyls2B+b`4qC%hO;l@AFy>ZbJu
z29sHo`K_ys;9}728sRgX-`~Piz1@Qyw=Yhy^{VMXml*((ODKIpW(%Lon~&juuwGB|
z>x2NSiv&!Wtlv(&ler(H&H9COc@?8~hg4+RYQ{!X5yRQ0Dd@mgEC_xvh4NA3c4g~}ryCJsenE3dBextQChhfOV|_e4w+3jSBB+UVeU+-MZM*({;ym2MMG_h`i6;Ymf`8
z)K8h3!=hJnvx%*(S6XbL2kjm%=Si9ukM8I~hCWRk4xI-hD?rkF&eCNP)tDFKmy_=l
zUo3s=Rp8r_DxrRQZ~VBZ)f%wPURm*c%ORe45^HHX&aH}tx_Ck@sO`_wK$QioT&l`~
zHkg;U`iY%HZLIdh!4i-&bp76k&9&_8g2xtxN8k(*1FO}+V*>x9rT!eo>1jf1Lii1k
zZC5MBhAJG#cj6!$V+OzW_G`Z-CW@Dx$62VA)^$cHTIqT`T4Pz>+r=jBju*0k9u@Ug
z^Em7jVzng6pfdD6%)in=p=*e(jcFC1vHt`ISTCSk?L5|7
z7|P2zBytgtwE_8~?jMz8tzOmBK@wgNm73yuuY2dMk<93RqgUD_)LMy@zJVd4W7+sJ
zlIc14${q1xCd`Gk0*U;!8!MJBOfDpvF>#yvDPwaR{9X68zicQ2(GO!%Htx0aEW=Ht
zj@-wIj>jP-vO)kJhqT@Sn#HOeo9U%BOOuB*y#^HO5g#6cAud1j!&eiO0Yl
zODX8@DqG(#Cs*hBUy+N58`u)dmbA5Vdrsp7oYVS6SW8CG{gYo(5>{0u@p-TVe@;XC
zMtF{Sk3hl^CrYY^f(5*7ceSZ#mlaZpv}TIiTeR(n^|yT=LAmI6F4wx|=z8HoEY}O&
zvbX6~pJ&=y6}Lr|byyRr=wzOtX!+5$UeUp&
z^qYZ7~Gn@R1uu!t-LM79$@=L&^HNp2TYT8*1Fis@iAlxOde
zP33(36g}VIDS26xNzEv&+6j*Cu#xfKWULHM4_L&xOOFVTP7d)f|pEz?B
zuL`1k5nYbETntx9R+KK0mphxOFHP#Ks8;(=29N{6V3`Fhmh;$T2U(-)C9+*SGoZW#z}Z?CS}(
zg`ZdfKI}^t-rY&Sn8l`#K?(8#i2)WTjQ?e+?fl8{S66+3JICZ
za4ud6DyGCSuttn2{b5V0{gHvQ
z$F`YXg+1h=<>%Py)*e%*QK#jO(F*|vt){i`=sv4@wsP|gKM*aMB$yi-+I3tzzt!T(
z8K$S8fXQY0)=1C5ARfu3&C6D%_RiU3W2Dqd5!lLasi`+`j6$_E%rFv;?oVlY-!h&N
zQuy!G_Lr=?>3FU`ojskyN94CKB^*@Z$XV3j5
z7V&pwYw_dao@PTPuu|jp1h7@4x$|-PNNPw#$!ZAmaUWwJu8%uccq2OTZMMFF*_Qua
zxD3vChtImThDZTUaDNJy!-sW4^Ie^kQc*=d+mcvR8Fhe?I{6%FF*GH2+aJk>9+{_!
zQ)j|Zj}`Mz(TOiD;|b(NyNjt^`aZ-=2J9&c_yKNcNt&m2n*ZcbAJ@?yY*=j2ky4A;
zbM4DFAiq5Y(k8AtfBD69Sw*wYF6ISkc=918J;zP*g@mI8q{N$oSk(xhiGMW{>zms4
zv=?}gHVQ$qSs7f#~VsAX!&fup6Id@6&}!@3iEC!}L5e
ztfv)dtmPCvSh3W}!FC@<_-xu|H
zYQ>04C7xE6l&2XUiwYQWm%I>Ndc|Kk+wJ#JHg~=DNK0zy$2q1&X%RH2Fmkw;^(wvK
z2Y*}LWns#`n&KPyC|iLO2kwSDr7LZR#>!4CfyxaHqR~st6@_Us9HNZ61G1GGHHFS50=-zB;oF8$rpMJ7NZCa
zmGn=M!rbICu$@O`)Sy5;Ii~%MGqaGow(OBzJoF%DlcY{-5vmg{j0d?<6yplNWDQe&sgi8(M`gE>D)M3eVg0d-a
zi=@h=(=!aTJ_u^F(_-*<(Y-36O83nr+nuxfWH?h38yyOHq`o&Sz9QRMw7_O`Isxj(
zCTO@c11w{$6KQ<=9x=!m*k+tLJj}Lv^U9-qo^MJ5M@O#9cUF(25;mCanNk2*Af8OY
zc(u6Q*?jK-ISikIuUCm&=qs|fbMWaew|6by+Lqn=)}lPW%%RcO^0&Hwfjlg%lI~8i
zRMAa9#B!`Jzx8*TG2!4#{tjdScXabNp6~V2URUIr{6=OC*ljeV%ByroyHBVLQRksg
zN(gp%U~|2b6=Iu(9(60NvU*1CE4dz>Y_^STj7j;ljVZx^oSp|)b)YYP_vf0CII2V0
zn5>PFRcu*#zmkDl9=ks0WnQIshaH3OKLdd!I$qm5k%z4al8g1u2v$J=dbo;Ubq;!y
z+qI1AI7
z15CjOo41F!@luJwOkkVm60QSV}r;Ds>)T3
zXS)d|3y-MmgS2461r1JT=BzB2#Q6K&=WdO98Vgd0|9jmOQcyF0s8ODcKM1<6XO2w&
z!Emw$)nvTLY~qJM0|SbNgT8XurITTc);3pmV8;W^S4?8P$(~G7>8C&++lqA(R^qnO
zZxO~e2DT(&EXD$tDh>qsxV$)Qw=h}w^xx9&Js{C;P?%Rzl(l6i0-^Zv2k;vpYru3)
z(m|6JbPG^A$^BHc)j5NIquZ?#4l}tH!t_IEawC;dg|xHT()K1jS1a&|0vJamnbfj
z%8~56ZGAKg!8E-}77$xq>lFvaO^ZxRHjwr~v%gOM<&XjO3avzIo7}TutUUM#vC?R4
zut|sj3k|;C>k7Nh!LE=R|D23Wz0s_gx_@gCR}zR=lF(Hp)*ynT#QhUM$M-qJ!d-0kItHmC;xkAU4!1Z-!m)b?grsuijwoYQ_r6)X;-
z+%xo|&YqD5ga0YIMIrS8UCq?j^)ASDkU
z_cpswW$?d#z1Q9R*z&FC4dixH?ieI>UDfFJLpGg;lSXy
zh2fm?`8FYwrea_A$e4Zj_j^|2g|SWT$A9mmeHYfC_;5shg_$Dwt?7mo!}K1MSH*;C
z+%MRSIj1~ldj2zwDUduKo31F=RP-{1E^Zs`X4&C9=k-cO(&J1RPF&T&kVODSN{{v!+A)=n1qgiediVBX=Se5qc5zqIEH7eSq}a*;=(w
z$OH=~TKxTNW)7vF&@^27$k*(%j}dxU%n9vLPTQXquwH2LodDNDpprCY*taStDUBiX
zBceOug$Hk2OC02m=V~0cT#z}C8fx?`s;5Hh}KKYO0hsZbSN?cft#X+YLD;;Q;Wk7%Et((9K;V^D_h
zWzsu@g3T$?>065*Hg{G$-jBHY;1sW!w5`r)jHV#UPNfPR@sOj~`
zuxaVJb9uqEaH~kY5uoB=YNtk$&6CRe%a
z;&pitOc8-+s6Z^3D*N^)OC?c0(Y`GrAL3y6;q)FEZ|ke6ji}8%*sDPDyQ^K
zk;D9G1zas~7Dv8^etnow(aLIl2EUS#Z5U1EL)MC;uw!a-jiDmf#8(H+{-wBJT_GS^mISe?P3n1`{x<9oEN*gMfmP=
zHR6XCamuB2BpWoB6T5R41qi@AAb;}PNmC|d5RMT
z>;AdDhta@aZOPXxhxNFKnl%X?idD(1vY@P`_7Q8yn}cVb-#SO9r-?}(JdO|}1FYuH
z7($c`JHO>u4>EgdCoQuerc_B7_|CfLa>*nPI5Cpa)p*qeW}iidgeBQ4vL>u{4&v_9
z70GD7c7HWf)-p8x!|sj(!5WKLK&oPvon6+h!!1b$fkNL27;~DLi=RLgql~3#fiLYs
zHS28(;L3AIhLUj|EdQ#`3<0IE=?w*Cz-0y|RutTP5h;z;UmDH3^Uby3#JUBQ
zYaLm_Vfg4vPf8_WK}6T8L!G}7vFsUE^PZ!ar7+p&DxYT?3X&->tQ{qe@Qs
z07(5)CGvZfMM*d&cv)5*>C6c!B9dc%Z$H!J1+)&c0c#w?$BXEAXW}L21ZspqUi%Ap^eW7_j|`x2rAH_
zw*T?sIosvC$lAXgPDs*{2(BA!{?*c{uei*mFVw0G9*#2>(69Eue5a1_1{f&kS!17osfWENyi_2Fjsd;KzYxsK-z931mK8kTo@P
zr*L->-MOnbVRv`IH(McLMfnzV{RGg;vF&TJ3aM%c{7X(6keMx)AFJJZ=$*U${~hD*
zBZy@{yJSJREiw#Rp+g1R2^w-)kU4k*L1w}
z_I}biQJUQGU`+nADF%_6bJNSbjY1#Mx;s&R%>QBmINuPJw>+ujrVxv0m*m4*j3FoN
z1eg(MB4zfq-wqhk&}LgsR#^ss(Y8O;KXJk*szdUU#djm+3+Z&DT-|nlBMDW93`t^G
zy!;8tVf4oxPkoDx^&2yT&1!8WQnh*_d<(L`EsIMB>mX}N4RGGvtvuJn+zAhUCuq~z
znTAw8P^@j_CTH+j?i2E-z()P1C6tU4c%x~d5GNp13ngoscku9xOLYq)pyxw`;*Gjb
zqjm=WQL%{gQSQO*F)BTat&v?tuAK^8g3N3r`(R<2f)ojo;fs>3xX2OK-n?QQnY5qZ
z;il2SZN7gC90FwrG~V=&V$(M$%7SC7L>^8v-Gbu$Y{I6L6JG@yNHf}LKE#7`CP=wL
zg4Jv<-9wA9Q&43>;B2nlNdn)P%Q#7K7~<8dtop?BGzn}eGwG#;hrEoP%0Dw94RLU5
zy`DaXN8`(k*qkzfr>Ujyyzs{%mLDfnEXPM7LE?-HCnuX`fcPiE@vt#FqX*3i&)8_o
z_8@;CVmeMR?f<$@z4^wPj43b&B)MIyJg|LU#59uh}%)&9Z@zGW3}wXc(P+Ynfx
z+=237H+Vm7XiFlu<0*<_u*}Xd`RU)bM2Uqw7xRUC2JM&R6gZHz{@dYGBif4zeE53&
zcVUwHkH>}r=8*?fRp+3-9bf-RZe~4+PAo9tCsqD{;x_dipw({DE9_9EYyMXTa2atAP&5hne6VsQZKNASt7g@=aVt*
z59L4dwFQ&_G6H^lj99Uck#s@kC{0{(0t#fyia`x|ICNUs;V%~mX&8^S#fNd_dx|9U
zV%s0+fjO1hYx*||k4!x_Z$$1*ms$wcv)*{>1_ctc5Yu&m6rV~B@$?DONAo1y$(DCN
zo=;Fx#{4U7Z8ez16a!|QKXfU$W%b)N!^;-h{~aotx(G6aZOyCn#04N2^M0zAkvX)D
zLHZJtJ^N!3^>D$Cdbs$@&q((P41$&i#CG6q7*rt6uGPH@aQlKQPbgL5QQAsj2bS3K
ztWsdK(0%mufy?(b-KvP!_c6E$FD>|V`$A+qm4Hb7Mcqu;*6ZH~Qom|xPE9Wn2$$Q9
zKR{~M1J8>hLnlZ@hg@M<^ziA^UvEcE4hXjm-ZPjSO2@{_nAG40cSHNmANC$P7jAt2
z=V}Znv&y!A%~t}LEz96hliKfSkshAj)Mfg(2`XF}n8;bXhMU4{Ig6d;hKp4pAb}!f
z_?i`@m~;2O>GymwT;@&$T#35f4arUOhBX2^#c#RU(@b8M9$Ez@%he8?J!+yUK;&qIn6xv>x-#_$Z%FOq%h^vFlK239av=~2k`Un4ERs
z|B)eO#wyWmXEV>g+}~sy4&T*-9drvSrO{Lu+9qPALqCudhN5urA^RL`P2h?JvoB9p
zD^CWPH{Gzvmvy2C=P1lOV1;@ko|s;eB_*VK+78LE&7Wc;OEtCu`o#}-NcBY%P(hpy
zf&|YvPzZ!USnW)>^v3Yt8n%jq>||8<7xerEDGBL19=RwWQch-o7W9ydQ)KJNqVG?_
zA}(Reb@Rsn6H>vp)HlC21OuK%sFn!wg7m_f9}feulr3~6>!xq{vR`EMr^RpJ(F<-%
z^HcvKwAwcW7HY<^{N$CUMj(+Ie>=K`LquQOGc%E6
z_|K4(hc;Zsq94w=?V>j0Npl|9gytK(GEeRJsQ4(ExjS=0XZ)3hioG{zB&1>T!MwiW
zfqUObEX617=vWQL^I)#OW^=z-AvK$^z5oIZdP}n$r*K{y`7G;&48~9nZ@}4*zxJh#
z(D9>ezQJtEi-2X6#g>-@wr)TI_l)H@w|=_uhatB<
zN^WR-ngc(gKCkE1EKoga!?r97Ciz2Tu1}2iQYR
z*}d(OGGr6yef!Vuv{c;lb*<&`unLeW0jTFwu=xg>K?8VAMC^lKb4&C0cpIviF}8yu
zlWHaJEf^*M|J)Q~X^2SjP58OE)Lx*W@A!2`=WW3|5<w?|
z9A>MjT|!p*8#qW-a?pQjBSA}au2@F4I$9~7$~skErzLJrIV9@s-({Wmg5kN4AC?4A
z2UpfC-k7;`;(ryRDiBbIm=w6EQ%&k^BidA+t58phXEd;Hof>C!d#=uc|s>D8R
zeID~j8^Q|Rk-3n3TKbg>H4En@b^k9W?}H3~O7iZB2^QOFOZC>{em6;ti0k_VN#o#L
z5^ZIVZ~DZ#At@5FZ^*g*Bzzo-zc7eUZow2k@)4NUd^YcLK8EGrb0cN8%1$Z~p<
zb8~~pIbm%Qv2Jow&G7z{9*a07H;nM6AXr9)S%nJB&ru5n$JC${1DyS#(K%>@G5kD+
zM_f?lI5oYFnEl|e8jhE?TH}J{LqF?~S#aSm;QzsWNljf_^s3c#cHiMlpI`#9<
z;I}Q_h#10C56MJr51RhM1-Xm#(O62#n9S)DcbrRXz2;5c4%@xlWwN+XK#!KeTx9JuhCffp%|7^Cwza4
zS`dZ_kTI-!YvkXl~=p3uA@rJyuivlien
z6IR(g!s(VzFj|;{fZqacSQ)7QQ4;xY60&3VKS{_T{wVYu
z!#MnpLX@<6{xl?$dt@MH;mh&
z!HP()wSMoaO$O}b@(z;-k`fj`E))RoHEWkZ?+%jc;5&K?s%)~1^bBjeC0vodxky_H
zA$6gUGSEXAyrTR}d0G9nYe}D;=v2eVr^Tkc?>YNMSTCo4AQh!}D&HLIcJu@HFXaN;
z1|#Io!<1&{H-%w;=?upcE;#cLjV=MhSEC(wzak%$p&~S&oCg`F+G{C{o9Q;
zBxIAJFLI-tr+?5PW@YgO=c*4<^#`4&76*Rc
zK8*B86^S}ni21PVopEX(RyDv2n2!*oWeWT?$Fw=r1fUotr#%KqBQDwZnn)QS-VetT
zPviz?7;V$Z2vcHMjycHH)0DL&*6A3ef3xiQ1;EnM2V$o_hrb_=sQ$7Kn>!N8NX&k8G?McD*xK-?t%;Dx#BpEK)AN-qdRU1^^)yDp~iCUdSx~!Um+zd4ve)7
zC}U_znR8QMkNXhwfD?rl5G>&b{4Qzvn9SHsWW%CRnS=HbaQIJG%Dq
z|K=?+F;4fV$#7afXb?T<^K?!MkYb_$CiWpQ9H9SLKp#+Vz`cX;3_`Z=9=##tO3>+9
zpvv>s9xw(@Zaoi{J2D}XIS?K!P|4vvX#Gg`6JW2q0q_#S=(6SRwj_WJ=)8LdjLpd+
z7fDvxQX3kPl9yJRASjm0GTzbl1&OmELWPzB2oX`j7Rh7!WJ7;I(wxt=VR{9&7va%^
zjz&N30x!pS5}6O)@$TD2KE6z2aN75{cBS(A>!gs&PM~VB+xXgDA2U*w#i+N+SYMW5
zICmFiB8@e7SMXnOp)B2x401iZkZA&X0FruoBx1R-KndgN@g73cqyxl?>|l~LfEg85
zB=AOe2Y6zLRvCM0Bn0)-i>
z-JuuX6ap=SNUwnArN%%FuX{}y>t*FMME$9kD)DzB+gP=yE*#BtJ7X(UIRc^)R*u&C
zP~Kf^@dbQgZlFWJ3*gE@{YF5q3UKv+#Lm`;&l3xG
zdeq;)N~lDf=+4%Q2N{sI^B5Fj2CM{%SYIO|kSp4*w1QAkyjCDuCXWCMH%JaxV1RoU
z1Yxa0F#C{|4}q&VvxKh6X|9B>Jo%0Jvx;=J<&sm8n5DfT
zO&tCCl-EJ%FU$i2p{V_04BVMIUorv}!?)V?
zWzBK*)5*ut-^0tw=L*gqo}fq4xXy=<4l1q|9hMyYVhX8quM)C2axuhIT;m#;8Xn!a
z^&d&0Vmy;|O)E%oEu_yjZrTSZ@%rw4a8~YWtn*P0Ui1)r6i=I`l@pak28}9aTZSv
zt`KF2ZUK*ge<01kpcMvoM;1G;KmW?uw6
zZ!Puj319_(0$sPSU<%US^&Fhvo&fDEgYDsTJoYa$O~nRKwqT7Ij^&6#OstBkC=gZi
zK2KdT^
zOrDZg1NFb~ul4aQI_o?}D)zoV5apC~HSF5pX9m0)a5Uf&@o|v5i(7DFB)May@!CwO
zzan!ibS{{#e?qvRN%}HOGwz4YrA;q)#`@FsBsc9s6ucatx?I@DOjS*g3qNkdEhz!p
z1?uDT)8pxHifDtsd6IU~0HjW;=Xoj$S@jTZ;M@UAvdm2{N4wvCWe3UH%YnHl0=8Gn
zPgf16z~E)@i~#1bT{lX<`a=@{a-V=zxdO<{eTNOpsKMQ_r)*Dv)$kMa3|Ko#<#l5Q
zo3%OO{-EN6=WwkSJtZAS>4~Fg!qBtGj}bH2ds&$U2}OnGhto7K#lwmSadnDDmlv&u
z@f}lN_A`R(uM~oZPj|OW?Yxe&Zw!8h9QxS?Wf_oJoE2m2JL7o*m6m(9)GM4YxzfRX!Ejqn+5AMk%yXQ~Vj>pj}^h`8)w
zNuq(FEgxzxt!RFAzBLpuz6*r?zUo!V9I>J_3{irXHzE6$wbF0x6F9LcZ2?1REP}ce;$>W+-J6
zCQOcy**jvtfGOwUX@0;{Qnf#-dj6tR;)5
z?e$jrvEcaMc1CX=f2ijy{FBIbf>k}?tT1L)dQ$_=dYpnb(t0_D_xz%!L8cFp2s+F#
ziVj?X5>Rs~FpP(fjL!N^+t`LA*f7)bBo9R(Kv=`B?LEE%h
zh%R{d43mAfihHQ~X|Cf%eI!G+`PB3(skdm$y79K;xA#6o_QDV5XS;t?Swbzp57*>2MN#`0W-_3s;PvCCTC=hhU;b+5Sa1n@{!R)a}<
zf&9|&uggsaAAGQsAk+ka85kQK^#z*?3FM0_ThFBa^7{apAW9jiMaOYj*PZNO=CIi2
zDCh=L=VvNRHcoURPJ9gMmw_RqbIskO>9g=f4{ZF(VP8aSSFi#PAIXa_z%XX>)KL^t
zu*w8ssvsu^6t$5G#iA2fUX$6{BawyK4tJnEeX3a}p>ZSp#CwCd5YJDj9oDXU^6J1c
zGr(<{2XUm_0>!NL4jLA2B&0=uy+U+1PMoDA{2N-Q_xhOYVRZJ+dNea5iB@Px-HYrn
zMZ4>P$nUheXSA$GbB*^7(jrBlDTS~pvdto5S}#Y{t!$J%`7G$f4OXy3BJ-^ousmIA@J{J^#5V&EugC0y0Fnr
zH*6Z|7En@3I;Bg(pi#QJyHP+wknV1zk&q5)q(izvy5V2jbH6*r9shNVbB6AC-?i7f
z)|}6L<}>G#M796@D-{HRx
zHgcxeBa%)g+#|w{|JOPduJc>q4@`@SBd8w!hVnaYLt(HGK;+8>Snni&GEO0W;84db
zpk!G*wrx2lB4T|Xjo&l(M9bQ1eHp{$~#j>f*FYSFjom;J{r
z=lYS8^1}{ueZ7jr9Px->R=gQxgj)`c!(a3J3NZBJq@3#a!?5y>K&jKhIt~OhY9WIyesBVt-BHUWqt3=Nd{Eug1B#=fL7h-maWOiwJx4=)$w~QES-+qQVbbS=7<1U`Zjf;FmwhEGmnIRD(VCRwK1++G7j>22AXOG#ZtJ<*A}cCw@|L%#@d*lKLESd=_>X*_(y?XK#_8$TjE%IxV6+f3
z?t!hGKDIjwVZ3kxdbqAJQK|UIAM6M?)GH|~v-+&D49>%cgBxVUOc7U0m#rv}tBH(<
zAR(Lp+H9L1!HYTab9%9{Vhfzy%u$OyX1rv2NxID*%yE(uogjG8Zm^!W}$)i
z7DOhHt_U$czTS+sR&bsxq$-B5k>uWS3Y-=?TA)G&TD_2!yr~#|*CsW2U(3FkZ0y@I
zU%{L3@Di~wJIHSKPijwml#VEN#8Pr48&+Pz-WJ`0VEw(C_6lZ3g(|xU6@U%#X{GpL
zN=iy@*Bgmynwr6?+g>Zb?f5?r49MS&Jl^3%Q3xV~78U?O*SxGNEya`!!GwbdUHu8<
z2c1Y7HM_vd24@FGZDm9&q3~-zV|s%q&d-OwZR@KbRFTd^L5sLxK>E4BbELEFW;uZ2
z-nK`5D8GCluo-?S6$ivQ9@!mX34{R;oKBExjmW
ziY;HXFpC$AV7%Yi5ldO1}VqR_uMprN4?TS6p1`z7^aI;2*o)^fojBdzy%n9BTYa@RwyDIh<$p%*?IqL
z4(#YY+Ihz$pfKgVqhe*DYtvj-ScS-=??F_YYLzT&6@EUR7yZ*Nm%sMcLY%GS
z;D-KCdEC_3RnL}lYNy|x4tQ@=Hgx_{1MHA%^DO{+k+r&ED}M6Q5lYA~?r^PZr_#z}
zEI8|q*P?$$S&pYAJZM%WhIgUF`_xbsWNl$^)eF!ECQ>RdloH)jPB?4tY_p&;1$jl{Ri@VAkd4
zWm`?+eg2*X^;3aWp6z6;ix5^=u=_McjW$o;%{6xlJCNz;GS)*FP9k=Q=k5V2W-2m(
zU70~yWiL@r4=)Y*oAT!;vBF6y!0ccFACAkD2&YQTmmYN7j{fcPx%lBXV_YsT=FqSS_|RRE1w4GZBj24QyUgTUJVBXz`)?QQ
zq2@=S+vl4Ic6z4}+NlWMEog_&%+w>+=HiiwcUti)l#wg46|$F9E3y85)M5_PKi!;I
zpU>-sl9-7bj5;+uT?kNJu2N-qVl;!Y*nd!I<%y7|Ko#1&Nxd-fShiTmbRVu%S@D38
zosY+@f6N-hUYwR|ULIn7;FxL?PiNHk>4eW0bxZT|r>K+Gd|ENO_iv*3=Z`$_f%!Qb
z)xNeZ6(bV>@7(T+>VA>R_QH$jkYDyiJY>!Y^*q_iv|uMWE-2<8*TuL^Hl=YV`$S9+
zv$|xd@ChGM;a&7xsd(9bPj_6cX1oyC9LN7OMuN4@oZay^s+m&B@lb^CHAB8LHVy=w
zjmGrufxmedY*~*EbDvyBKdyC96LDWL@
z_a;kdm+SLv0@Vi}2uV0_i>*HUMun{TQB&&(@E`hcu1oKGdR`;?okSnB@*-DyE2E`*k^PbfOw_8pHM+W1XtrVBxlERQ8nZ#A6OHCL
ztp+Elnj>@27o4VK1nB(`^qcu?st1L4zMCbTJL`P=+mAwnCw0B*NzIq`>*}p$j^yH&ZwkkCoC!MwkzeEi
zOYt_*bPQ)Bz_f$ataUX-)@!-DPMfa9dqL}juE2Fp1S$8(waa^J@0?9K4Nid(+zpk%U(Enu_|0hWA2saFSx1wS
z+v#2yuLI7pE0&-2yMR{E?2Cu|=W(L#vwN0F=e2bcZwmhqv=Fi;dgq<%haU>U`JrFd
z_)1Qux}8gajY_-g^9@2fAo2I4vFcIoghC%FQ>2#D+x4&RpBa4#($F3h*p!-ET-Wbh=D}VIW!d?1v_A6A-+v;D#Oevv7TI-D
zYIo-LbFkABzCSQIKG3|#8rYd+z|V}p^XmMr&-xiy=&&YiB7epKiS^hlR6P-tCg&2o
zI$X%}D93Lr}Hv*UZe%F
zm|WBqqQAcN7fBM)dYKuKv~j8_E>s`yS!I;DFmQF8c;yAIk9$skw-?QXLi>TyVED+k
zQ$vy+^Q*P0#vj#&Cy8dyuZ*utb9?0j!t^hj;F|+&a|BjdRlAZVYEp+wz12+)1TmBp
zoJ|gNO(C_`V=_vPD;2uKe^Vv6G5ggsCImQ=H-AwI4wNZUJ(k~)GQf;&)CwwfHhH+%
z&sV;zdiE3@qKl!G!m6Q1iHeGQZ(EpF_AWTxqc{X_iVvV2I~5N`{7t;kW9!lD&Jx<+
z*$*y`%O~utboa(LgPCv2$^W#_STS%2TzpESnN9??
zcC^95aOpeZ&Vp+XP?p&6r$1)GR!!lA0qov47K%@5k8(KkGT5MqQjrX(iI_pz-#?OT
z%e-@G!J1fF565aOLT6C$9TR|OL=qR9)CsBlKuut668%PGr}(ntxPL-60fHAu8PDoY
zVAPI;N=uutger)ft{vRpdh-sDcMQVO`5TJk_eP@#obewgzZQ42-i(Z<%_Y@jNYVS^
z%O?tusBkuWqxW?n2o%2%-8;6
z#YC!^jx**YQheuO@I|PYB
zZ}ENJMKdQml_tU^`)OJW7UAjo!(SqA`5s$3(IR!Y4sM~z`EkI29HCxNxY{&lN`b)>
zO=0;4lbmF3oHYNT@IJq0&o74e{_XOX@1DX~fzsdc!TT>x8rFG7$EZ9($l9J-_5L*K
z`IE?m!PWrP?!wcpune7a-~maqpdn
z#{XK%h>(c?^Td%=2%nhN=*ZLN`+^;2f^|iw+eb~G<)eR==!v-I^|U%04>vb~V34w8
z!NgCa@JQw3Yp=i8;}ujBgh~K0rue2vVbx*Y@R=dvN|1i=)VeJ`{+&#Sc3JWsfz-yW
zL5XYCXj53hK>u9Pu$2G}o_5ngYA6pXDFV1Iu$!21K9Q1}HC(F&4dSssvt2ynDouHe
z88rKzO|lOHLx?=0gF0c59R$~sihJSY1>m&UEXv@a5KVs_UrgYckDCx7fbtUSAMd4R
zGL(wMmMZi1Gh=dzl7$-fig7R8edpC*oku2;?(c2$KmODEvQb&nQfy|43d%EDqak@#
zUt>)jhAMa?Ii^kRp7I{Uz%?rRi@_tBS;IqtsxjTLFbXkLQZN2tZwst(&G@Sb2`IGc
zLVEIJ=(ek*jX?15mqLZm;xU-Bq~&@`y(s
zEEDn%kakg>(AYy)J$IFH5UacOEJ7~3g3Wus5o!ka=wd7;d4C~$2KyXs>h!}K*hd;n
zywF-#P95+}*uox6%q%Y?wOvUh_#v9(*~dMhtMtBpj^QZcvdMRFkjF2Bqg;Dz5WjWH
zfI1VZnsXUysQ^`DVNzQ!etQsXOQ8*4Ujk6k6!^wPZJkE6#yK>rY<5`$=3d_q$Bk+p
zMV2K@flyve;U#Ist(@fvN*JHC+F0_a+oB4zHlCQb!RWQ7*?VQlH!Z{t6LL;@QgWvY
zNAyY$5I@(m-*!sPIbtvef$Qw82r$Oj+OTzDWd1{~Q_>NA!mTpn0#z{y)??+Ytf@2A
z^k;VQG3R0Z5Wuw1&bV5=x7IfC#VVe8X>jd$fW!@qSK^L=T`NMA=xAx@vM6HwC*ylSvQ{gG2HA#mh+Xr3W6`KQlU6@+?H
zix7M5*rr4rNe{jxa>=1QwX)a3=()ua#AvT&|w?{(_K|i$@=v1#lhTz#s
zd!^E%Y-b3|9us?R)9C3q*2nLVVfUX@avIK<4sVKCGbFYVIu{YKqztfBMBtFEqs?WR
zA$C~By2Q2mJDt0~whG_gXrs>*6Q5%;hdz(uG?2`?LN3~R@CqMIq9
zAh>sn2o`~wX(u97jo5&{ruzKx_5Ea-1g3kIXd}Z2uJh;PzXLV%77MkbzsdXbIo|cH
z3%q_!KoV7IUO#KcaqqaTd=#{9IiRbk8;%#e^0&a8kB?jrsZiIHr!<}Eg1ku9)GQi!
zVmq%74}t$+9x{M=yYOJa8wgaw_kYSRh9JJ3ek7FW)6eYV$`P%40#Z&B7M9wl&oiY?
z$<=ycB=>?HxAe2~?8hF{*<)ltfV#{Nc_xb46w5#P1YCvwt=E9dVv_TzC^hl|^L)4u
zF|cK7eql^xVBy0ew*7myvAw5ti%mPmVQ_DEboncdRD}@b!;Jk
zz(@MT{Gm7^);L-Gf9Z{unYRwDEI}+f0J`sA?UCMyS4dicvvg;+nf>duFI)M#*
zDgsKTV)NSkbTU|;{BDsGc{;GTRZG2$ILvhu
zBpOxH&G^!SXa*4U7?8>`ckGZH%dv-ZM_wBG_8+GdZ(Uk-`&7fh;%ed+*L+dNrqIvL
zZD*YH{r{JDsFH+GcL;ij2(8&lG)#}qFlzcAp4q&uZ$)1$O6$gAS1M-e6g>2B1Enl>
zdl8}%-0+M2)|EEbPive}Frb0R>HYN`!q?wboe~`9gJq$c!c^^Gk`ZsCBnN+0(CP?W
z1t4f{tJwHkA7DTc2_rEc$W~(ON{G-5MM2aIn{L396F+2qhpYtT^=cvkjzzV46%7$t
zF=Ve=ko`THqW{VaNXLkvFppwhu8;f_+_jJzYB9PGz2hL)$JyKTm6&i4z=>9#CLrOa
zP|CPgk&2AsooA@Pk5chLxep(bjwr3vPz&)KIQXmBgcLFCWz!5j>HJ}eR+^&k4@D#5
z?Dz(7*n5-3;P!TNKRb~zIzFwAxVhgeqo&wSt^OoA33?tzV&M#qBUj?|kFQDNOr1;f5_$!{$
zseHm+_<>3)@Pg8o5}oIw;gPGVnqlIuR!GknedkaUv0qKx-9k9!BA=^?fxki7C^Q<{
zBQo8G>+yjL{eEd)IL*QBy}8tZ^PPuHO5Bo)uP?aHuDf+s?lo&s?F_j5D$PASLa6DDLqp*S067m~DO%O2t^Ao*jD
zWfLRhu~T|9%IaWg2rHukzUr00Wu0%IVvt8P@KyE=PZ!apQ&y+VO82iJF&x){6-nGGK!W
z8!=-;CrV&@y!v--D-y1=`f_Dtw}N-Mc^sJ3@0mXn%X0oIKaz30ts`P?I%F`~Q{RVj
zO%Z-ziwE;n9RFbZq?o=Sb!l4D*dv2rqZN+NNYsdK<)O&CK41`4QW0|c#e
z?2}q?iF@vQPw*poGa{vZ&rKMkLU_tVYs6$
zDo>ZtWV>7os9e)aars&`t!-0LpL#YkU4G4$P^B$XzZh5VyD@;>YVir|R{e=qIhCc4
ztXI{}1R<8zOfhF9jPu6~^Gwev>@Xe{c}d~@sJ<#AeEH#l2GOCNw`+EGi_nUX(D5yu
zq4_B5r{h~QBkuG*w&F=_+moFsr`R7#Uw#Z-V-?GCwba+1cfVbf@26HK48RNC7mAsN
zVeBvubij9<7-YFKQL?4Msf9h_;Y03foCI38zWFI|eVcO*tn#cd&_D%YBNUfu2qcN=9;3{q_%GrRcogq8RJ`>eg2i7FeHqhk
z|L^S_e$ftGna?^w!rNle%RF0+sWQ}-ftU*+o|T5&&wEJ!buCdoE(YFox8iMrxV9&U
zu^{Jmh;`?uYaG~p3quV6qeI@@!wuzCOVQHy4jKF*!xNu
z9-aa>A2I*xgg5IfP=>m351pI>29z#g_9RMa^y^01QD9bn>Fr;fMoiZ4tsqN#ATJbK
zk6Y(FBB||3GURyl%Ah@-_ZEo(9+1igx{vko-6r0hTiGC-h4R#UKj%JtKQncQ6!Kv&
zjwb6Bn|-5B{IzYfY)hi@Ghd@(}N#j4aVAhMkwcnwNqP
zC$Zfamm|a;N>d)-PSY<}(i@;Z;o>s4%b@o*+r_ROKh~_l^XbgjM;yu3
z{zK*Pl6Fc2noZMp-fJ+|_MG=5v_GT9?0xar?eC+X03Te1j7T$RBc{Aq_IVC9AY~c$)d~O`oua2>Fm>YoO{8uJs7+NoSKa
zCyeE8wIBnj@=$}va8*p+FgP5i0@z?E%=TVKxAyb(FC)(9C$9Y16_JXxeq)SJEB?*(
zM|vEo^n3>Mt27v_%N~|f)#OQZr11C=5)xt*I%>Y{B=GimRScF$298KZMIWxQ>B(Z}
zxW%Pg#k;FiW3#z?Ugl_
zjK=p#a#6YGtI@gmn!8n5;Z6i(9bJnB7FdP)S0oZGc%n-Z^r)I~>zwME{8|r``Q8d~
zJu#8(ndV?U70A7L!9}ST9&6n8%C+pJq&3p*XYo!}(NNOMb8@n981OZwx-0FJ%WU^!
zHv4g$m3x`C(nlK4cF!Pi>b*rKf-`J+C{vxZy{UWD(YpDL`je>oH^>0M68|za_#h<%
zX@`N3U5jVhF6^)<_c;P2Rrx6a!{bpiav&UI9P`l@P4;0p;B_4KHM-)|ZlmuDph_R&
zd#A)GmM+PU%-#a1DRoMyuQJQ_4#c1m-aTFUiCwt+qBOAlZ?dU3Le>)9+EL1VS#E#E
z+t18+CINo=jmwe^PId!t1!ygtGVOl`GACAFU}eCv7$^Ol&;qG|CABv+Po=*};~o}ejI?I(1L{TMYovLtv(lsQL4K9mJchA9F^*sq58@wPMu9@P31vA-JoUoC3
z1}Z;4O;ap6kXcfnAv9~pQ(>^-KWAGyBbWZ<;KP6EuZr(8)$ru8!h@MK#~-^lH-Z$A
zy?7^%P))+_&pK}k!EBg8Th-31pg(@hs?v=^Q-3mx%JeTBPJ>58&0guX3LzsaDKwWE
zRpyb8N$Khv{5`9gFRm6bJpTLfF3>c0_O)MjeO(FeezasJ~{r(Ip@=S
zLDfEwvo3KPF_>D
zs}IZ@It0+cNX?v}W3x^Zq1grmP@t;HLi*=3awV%ON_6rpai&$cAr-e$0o49%vifEA*_Q09~G$yho;3oa%&|UnSL{}D1c;M9^gZ2YEf2H_5?H`EP$kOqy%do
zsJ5OEQcSxTNPPpDC)%kc^ZGa<;?XHeDS)|ak}+ba*L(2Yu_ItU+Vl^g&4o@2
z4NEUH*Q`g>N>4J_+)lQhpDy7zOeO0063jJ8TJsgN0Ge7+G+p>$ZA|khWFh_??!iYz
z`{9^4pUa15LkaMhGE)+m4JUXg&Xh?Dw}51)NFI-W@J1ntDhmZ6`W1Pw!N8xEJ|_dD
zAg07dMzDSdkN^nsK%F?m$t>${r3`~&byl5R`pvb5l^EZqeA$c6-fQ?P%TOQMrLEd$P%KdNOocvfTqn(_g8NZa6|h4X#uPS-w;d2M51D*
z``gVLh(WW=MX>IVmA>4~-Y2s&8OFCfG68{)ltKG?gSC_Cg}A4Q=z_Y)C%0?Eu_K9{
zYJK|DaeAo$CeI@pV42tvZ+rA{72nh%yS{?A^6YkNAscGH%HGqst;;Zu)9iYmx5fHrr#3c(^#2-JoFj56-WF5fV
z`Imc8L69I&o&;*U{yf08!UMLo)1E}xDqt;cSyGkuZ`3;|AK3Cd@}gJoQfPt2j97|j
z|FZ+K3WyqFHUeng8=C>2JE|)@DFZS)gpa@5Un-;{|07GeGe8`#ig=^)YI56;f8IRlE5)LX9j082eCzWqTl1
zkQI6Aq$!wLCK~&=_m5&RLDY;qeIerfRuZ9YKP_)!2b{P9fxsNG{?;?uW)@;t}XHXF)&v*cVF7tb~M;3yzqJx*&
zxBv?y?`^(;@LUsj#UsM`|D0F>K5`}YCrFx4IN|klmKg9iQ35z?r{^t7J9VMJzW0nT
zYdxpnwNKL0O)uS5`$ms8s|`7NFg1jvXkt|>g%G23vxdmsHbUxnI^U%9>`E0syq!(1
zVbZKUjll&oo`>XkTINskiMv?*oSq&(Dl5FPdl0B-K(=^k>Qsh_QnUSo-N3S*_dK-r_p%OQD3j#Ltu(&VB&Uyl-#F;wrt#bmcP|Rx=%L)>4c*{
ztp&RUi}d1w3XKJe(#)$c#Ie0H6hY^ezkn;+we`%_&29px-?6>)Z|~KsUy+g20|+2xvQ~@3s1gAa>tzFZo_jbAMFnqj
zEZ{*Vqd!=A7Vjy3h0!cYuH6)AV!?!-2MjmHl(84=IH89?YahYNVaC#tm$;tGt~uHM
z!rZX=;DH7fxTI)N{q(`dWuZ!s`xieq3Brc)cIP;Mk=Nq6ctfsliuKP3P5@Kxlc}oC
zB_}mNYJV6V^IN>yty`_*$$=C9XS$!mJPX2V;?^vfnwDYOp^P!W)-lT@tV?G4nq116
zwp2J!y!r7Efbc?4hNH7L0p^Mej6ga!Jgm6m$&i(tL$}8G=CWE2T_R2Q&5v#J#>|f-
zrjy@pNnRIy`q(DqRnF{T`F=u|Ni^HT(*y+-K09QgjZwY-%v+3;P^8C+sRxtlDE_{-
zZP+YiE6ioQ_n)(eQT|M5k<{(9#ur?;2-ctIK8dTaNm?Adu!q}}I8TZud0nND#y&Ms(!Xt!1&<^8Ql5^JGUx<@?
z@U821EG`gK{c4_}F+6oo$uuwTm(wR6*E$+1Y&raup4$6mfco95;M8n4NB^B-S7N~+
zN+rxD8oo5e<`$4dV3(WKaQdCpqQ~VeOe9~v7BQW1s2Fl2U4ZeZ_YYG3cSAmfi3~l1
zxfa9#JoE2LXZ7uFb_}s)hhNc7LA?v=76{vE1lJ7l;4pkFE2bPCag8ti&q~ea_V_TY#adr`XSqbi-
z*k~UtCg#}DB0W8LgV`Gx8k|2uzg9aLvwhwADp(d3(64BPjVfU<<%hEjNW0~&REcZ=
zJyPo5PazLojAtHOy=ZL<;SWUdZP$_@lq
zqyT|+wdRK017Y}Z-1d174iF>tYhxCfA;DE(AL4Yz@Pr8#%WE1g-LvgmKETtEnzvE;
z)onrsMBKOyUn^ras5PA>0{;;~6;#|_ec;TmC9?RlBs29jVZ6_kFUNs?dS$rzqXX<8
z(n>^qkzcpZrviZrV(pMP&;|(XUXVoDGTD7h8cUlC);qdKjIDTi=+i$RHjd+)U^kZn
z@-o_wv{q#L5+DErp;M>(5Q5o{!(OwbYfZqS`hnjY@BP=T^pU#1|@oeMzPlk5;H_?jz+jzU$`I8~p0@bCV7O@!a`I0Dbj<_5*pZgaVp
zZ#Ci95`qKL1&|jB_U(HvweL+WMc9YcYan!o#y#{qxK&495~M@{QlQ-@L4|xtQEqp0
z)0~^AIAPThAQ?t_33x$p0rzJxUBumwqE(aKDMvpjhFsxcv;
z08;gJWYjOX|2xA$`DnJU!zBk{n4oC2JHQFya9#E(tQN7S(-a5QIQ9|58;UcWQ0ID4
zG)?7%Uz(~H4>{&a=6eIl6<0(;_%^Sev-%v%w$AWcABdlM?8!j0!`uG2gkI(hM*-0}
z2EG{VKcJ_xLnpyKXNo}gDkv5J?hJy6s|4_A@faZ^$LS#mX7#l{fINmryt4?^1>$RhRck_?mw(7yq|@oL)2ZKb
zk^=hByjBxa3uKRn9HqL~(i6fIZFU?XJNVg%b4u?
zP3G9u*V0No6Y~TutSVzrSiJlkm&e8
z^mW+}%mD}kfrl-WNwVPn!}Y;KU6s2W)HIb3I!aCA!(v@mi#PAB8C)p<1YCcay;^1E
z`{KS%P!HwHqw!Z5PVj*L_jO!|kZ>lBRNFK6W?=9JebB_wh+$7dgAiu@IJ@H|Xh>h}
zRQJ+INg|<_{sn17!^NxDu|!onhBx@y220mAh5@kg@4|6+V}tRGA`fu=uTZIQHs;Fkg!@lSiKa8JrDHZ8du)F_m&zm2H2PAXX{$#HtUxk
zk)xW{q2`ZVVdCr>au~~nBh(yj$Uqf?YAEUiMzPS0=`hj1pcDEE<*2X(#F<#20;}r_
z&Rp_62TY!{xtp3w#~|+KJBoP~s_zewAR+_$tUEkR4d&`WoLLMWY=@u;oJ5O^*jKDk
zx82N&1;jP~=&{?{8E@i!!E)Vcpr|1SlK=##9Xbl>McK#?xQ;7r>s&xj1*H`?+lvO(
zD=$m6^@G=K#etGLIGab;DH9#|Q$y`$RMnR^Fd;dp4baq_sOXYq{{N_h%DmQ2um7AH
z*WK}MB>YQBrrfMMG(ypxmvNDIUc*^kTpt(phBnC}V#{?Y=HNR1dLQ)DmcIaI+BG$Y@NGR?
zh;!$1%#cR9>a{Gl-sN&w^5EQ&2H^~ED<&w-6r&U!CkUj7#PA6+XuBHxMg}7xibG6S
zw;);Gkz|o2$e^C^<$8}ia0U{Yj~}I!umOz?dq}P1(v=M=T0V?dpgZ$zk<)9l%7SmM%TD+SP;RL5A)+4#Wey>76
z?9;P&MB&YoTz==%u}0W}G<4dU!jGyMWC?615*E-1=26@RcQ7ERwf%j}9JoPbl>(G7
zVIkCD@n!@&jgAm#aPNmifk~I`;00n+ZL;2Fsw%BapOp_x`d&CSJhwo~lMyQWi5(!>
zdsE-=!v2`dVDyoolq~u8Fygo;kgC(|?^-~QEDYe`S0O`j)%bo3?U4a^&dDOQW+PUZ
zeXqgaZ6I?>xID~;O5=ikxvm|@sDekuo@u^x8AtE?ek2RNT%j#2jP*gbz^d`-a)QsD
z98tq-Cll_G{u9oF_4g*etiTfT-v+t&>XEs!ki(4F1`4pNQj1@VDm#HZoRsy$Ecysg
z_Z}QarX~s<$MV8K5#4$~%*V14D{jBX-7ScOh`UsU!G*)lfD43ubStCjm`KPTGU8qhPTktvMP6gUtW4N2EM;6shOYS;hR6+X`Q;J}y0>*gf>cp%2G71l
zrP6&3t0h;->dbm_9m$tqlFxMio
z5xt=Ep7{x7ocXQO`i(sVqB$YFr)+%lw#feQpFteJ0rm-e2}oBBZ!eya^vowjMx7<@
za3<-wiWte3sMvlOzTL;<@@;K!U<6a4mIVvgCb7&du_Z7)CTwi^8ygpSy^U|JXGb&o
zeux5hj{4+zWI4#ltU2b=0%B*1;+L8&OOP3~X?OAEZiQnENN`~`#MrdZ-}f(w>cfx?
z0o8x=n;B#{TgTs0XGrx+aM`kc(asBDy=Ne`iw=1KlzV0(^fnsIo%#TKYfA@HZ+k^K
zz2&QCW6yA=FoTszh@+xZ9~7$N#iKsg){_=Ej|I8+%{1FBQ6`w_gl|U#>!sd!_JI*>
zk=lo6;+qoT*-kqZ)Hf;fN9r(m_h|~3;<)REpyOw*J#hB&i4Xd(=wjJE0>lPZXIusy
zo)k<>FG27AoFWg{vB8UJ^-Z4Fky_)L2Ywq?Ttz9>`(7vjpvUsPCIICFg!C2PImBTr
z2=|}a4y(pzBZD95(uVE}QmVBO#Y_ReKPw30M+3P_c$H0>mIM
z3~4lq4tgW%4mrr5`Qm`8kkAU1u%OYsw8vM2zXVq(T15+Gri)VQC69cxc
z`jMaKoV6;0Zc0n_DdPUKM+lJrNk>G3)mUhXr=dCIAtsnMJ=z|SV7l`!-^4EWzkJiV
z6=NJ4vZPfvMdDzvDwD=~m_XYe=gDF+ipDQxjk{N&fsrI|G5R-NqN9eGlhGh=lO*iKF5xe(u-fKFxG*G=8!~6F==R
z+(v@K$MR6*B%x+}BF7+yM~;mGp(a58x#2*_^gbdK2Gm3c1&LFJkl!W1!CL4!Y9_HQ7^6v>tph`fg&0i@eRe)*syy$d$Pv)plwoht4lw+)
zFw~kXcV?*_k^KK&{NESG8!XX%l#5We=wUBsF96jzxC|Hhyz1zwxh0Oo38Ow`8qBzb
z39$cn8S5dRZ51n)_9P>PU)p@F8h(!d_Lo}gKf5ITwbTv0`cx{QrK&4(-BP|uKMawY
zX^h?!*Fd`-6~_HX#r?b7KOmURCXd;m`p|RFapVC`KwdD(fMRz5^)`#%4Qc6~eh?H*
z$EgMa(9A}~QsBw-QE<73O7p`;J`0TVPB^I8I%fHIu|nv7sO&pT1C@LGbXmAmEQX#j
z=nl|kFJQ|0!b?;p4>Bp=7eKQ@EhP!eKgMOAegKOFl
z)Z_xj%D6(NJT14)!RfOqPyy3E8B?z?H5^Dq;wAqKU&{3}26hCTOz11y=ERhd?
z$VBQn?EjlWwf{`JwADS3^rgFaF84hqIp&S4(2KsbiRsP!X@XcyMGG)_s)M4ZX;_`8U%_2=MJ!Bw6^{Mep*@<
z-hYplPBYkg=(OxH<44hg1`?1XTu1-=#bFU40JLY@45&83WCTxjk@VJzVP)YoQk}sV
z|B6(?(3N2tqp+r8pmCOK@&&1EbOJde;1eWN32J^_(Q1@c4T&_aFoB{t%;bdKT<_c_
z<(tQYMNcP
zUHJUsLKdkjwc3z
zMkq3-rPcHuD-=j;-XzI1h0gZDLl_dgrnR-+f0w;!A
zeL=b|Z7#{$f_ziP2KzXCG$IrdL>*^%nP0Q6=?;4-kqmZ&09s|L({iu#>4zdz@SK(M|GvZ*SZOz8Mn%4R6mNgb36qWMK-r>
zq|L>KcP>n|K}L~+5@{RRoqs3EAY!6h{BCrpjM
zF?5HrcjzGJ8&$J3|(L`^{JRX-tWf|l4V>r2Lxd%UfzbTmmUxx%hEBxTZ
zpw-e(ch5c-%qcy1jf^%PKbD1*JPv+OBMs?DW&^2y@Iepij57$}{cpf|@wL8>KHew&
zPm4=SHQd}9La-@{&(55b(uLl|#KaIUs%UC{1*a(HgI+|Mnwmwn%dPSX3KO6{J3cja
z-?_!X!J)>{bnh2$Qc_Z~h_^@chH{2T8R#hh&KXs@7)@epyDb?NEWMho!Lab
z65F5(Xj5@_=e4o5RZ>~0y0WtTramuEy1Tpk26UR3Z1eS1$`H{#K0aofpSR)#EQs8A
z#^ar-QW96*qEx&g37at-^(bk1)7V<|RM$@nx$TO-bMm57u%*zx@#`sCW~=ut%ZnH4
zMMXus^Ys$KX1R;JsmB@;zHhOZ)&#kb@pneSp!&dkK5YGYI0(b-w+wDWq=
zt`n>J?Q;urb2Ve*yoiVhodG^RzP%V3N;M6Qc$=1Ut*>9dGPAR*fI~KI`T9R{B~4CF
z=9X#KTYv*aTd(>ce?%GM-mg}iS;Qr{fh7+92yDi2`Vq0|6oRH@7Ju6PBR+qQ@BjE3
z_Ixm(WP=l3#SIM&i_6QW!0DfRb=J<#wGNJs4008%H^t)<6ND5Lta1IhVPU9wxw&Tj
zu?%c2zF=6B&91g(@4mkRO$??Y2%m8~ZYqL7lrP>adS5Qa=7OFEMOj%tiK(7I?s_?X
zP!{w~j;|LCz=ng0R6WuiIev)7o2H+@GGAj!yFa=KRzwBQGy6na?&|
z!8RKlPP#psCCN4S1mVNg-<77l@@6oT8gJjaF;gKxnl#soq6)saeyC?&J)3?g!30FJ$q{U_s>tZJ<%!vTSmJ6N5ZObQ-%?QKL7{i1y@
z1y{<@z{tq-_32j2H7aEEz(~|{WUZQW!;^4oJ>39i+#o0!pW!AcJ2{+A*5z6*<}AUI
zZ(55IB*4dCd%d|o``yCECV?KbPg4O8SPlFjP|8j~MpiO8sWFr;tPRdab)K~uPJQ{l
z$|x8#p37h94BeY7QXd!|o)W%Xm@xEyPV@=1xe>8mXi#%^cYpuG?U=#495fdA{rh)q
zGn)xxNo`6Uv%x@x`ML!w-sY|X!6-Dy(usMA{r(K6@XdA(
z7pA03vu-T6*(mk>MSa_E(5+{2V0vmwJ{J6`0jHIM1w7SQUR9+g=(0Zwx*dRi`dPO}
zZOe@|U17KbzkW?t8xN-TCJDNhn+zrYHoph|&jZU!TUuH=S=6@`4xkjZ0p1g}LY%~Fdc<$s+?3XX2
zti4t5Tgd33khzoV4}nz5d3u_fd7Ys+mXn2QHtLmpJhj;G->a+Vfb*&?4i_3><6K=`
zg>5TvvbgzTlQYZn=Nc9k#h@L+)`H9KWKq*bg0_ab`kMVnN?)HW>-!p6(3fZeybZSI
zMxY8NB++K@(W8Fi+(mM3?4y}w;FngyZG%E|{=h{km0t}<g%AT+dI@W9hFUpcL~?QVmeg^g_rG^A=-65-*|1T%6_PR3&q|Dp(K
zy1bt^MTwP_6|P)ugou*z@W*DUR>}8Ea(DoHC4eDF<~V7aTv%8*gj`^+(ckw(JFgsR
z?FAvd-rF0DdJ~6B!Wh?o-QH(Ye_A8h4%QNewY!~t%|L^-_8&!nOnWJ&Y>p`_J*IsE+R3!7eyBGzBMhdw>>U=R1j
zUu*GI&+~w%>}^#?$${_1_YCKz)~2SWXTLF+)zs9QRwJI#*ZTY{t*F4Ui}a|QnRzQM
zBcl*YN=kYaOJ;zEhBlni0~$}+tRg(;;(E;(Cl_MKp(f^+G-P55UznE{?1o4JMx4cp
z!{%=`n3I!}hQkVJ*Y=?*`t^}(2eh6jqTc~+y4d#STA$4~yB@jJ+ur(ouOMv%rz|sb
za;n{49=(y44pzB9gFQV6wDe9?qh->NR|pt1&eKJO1m{84vr0VJ{3^Fs{uv<=?H;#z{DJ_wL<{$)Kt395$YSBRPC`e}3E3hQWz#P-tAhs=
zf_3&~UMw=M!t%dkH=6B@Q9K|p`bgWPl61ktIcd_2kV#T#xh{=%4%y9
zDo0~pba+@@yOy5W-l5l=tbM3Ye9og}=-pk44pk^!A&y84d@d~}P{~v%j@rE6Q6C_c
z8+X2=xmi$wx)Fg5BFCBg$AQiw$6oIL;AyI2_nd^v_ooelG3760{l9JkU9hltiaG%k
z2d0JOc6)cXd>-p07RUq?w~fDi{`_N7lMMC&k!WQjy0myEH!tsL!*vqseO=vmR1HiL
z$IJTMxoA{_heqSILLur!%wfosLc4sVvYoe=+|@}LQdU-G1lFder>7%zZ(%@Sy9p|)
z@AP!_H*!kkvK!Xi#pMn7KK%n(Re<^SF7FxzEK=h#u}=jZGEzKY3v_hw%q!Gr)k2R&
zs%`}GM+FQ9H#awDXlU4?w>BGh#yZPDJ932zyK&vFIW*{+QZ4a_$tNvKlF_~_^;GR=8@>be6^2vVkJ7v+SOmewEYf>Dgw4`LgS
z>1gc}0l|$|+i#(wHeLwm9|5L}98r4>fd3=Me?HB4t4NI&VXe|MMdt)|j8jn-x-cby
zj0Y-nZhn3|YHqq0UszbUadYtd%Y}F+sa^lD_ijv#Fs!0|NC<5ru;PSX#==DDN|yHad9a(c
zIn2JZ%sX{#d|chDTNA_oq$)X?L7`aPy?b|ghAt8SWS
zMz+SrntOS9RjAqlTLu?3Bdfftu&kk9nFd`Pwrpy6I+SZGwu9dzE3(6A0Pc3OljunW
z1r|_%g5w6n5hyu^rl#$X^aVgRa|!Efj?+*1y#c`XJ1L$?00{8vHNuV+V0Yp-CKkTF
zMb_VrNmhg9s2Jw!U*~{;05b>$qshu1;aRF$X=&+6Ik{GFD|!n)vktC|msdb1)jbr;
zfKA!m2R}T4>)ZG%;>+f4rs|R7DH{@k$B0cBup9YJv2(vL7nu4bfjK4NJxBhUj$F_#
z8w#x8WK4=k>AnRsvOiz1WTi&tn(3`t0z(NMeVzD^0|$mEI3uIj2eGkp9j>W4FbB{g
z<=lY*X)L6cAr=etj0SM4?(#{rY|<HD(t$VA%OPYwGl!uk=NDv=4da8`omUJ-#`E(&JHC?_=`A`Hf=
z?mKu1;C%dbqT`pFU3^}%`_h-8qOQquK0~|or+0#|LZc8ap|kG~1$-U3lJ8h$*O;gn
z)Ip}vY~ysk+y_wbhX)7R&ln-FHIY@tLA8+gmX3~OpueSI7KFtaCu|GL8lMk4qa^D_
z*kQ3)uc7&gj^kKE6O*~IN{2mPzI^eAi@&d}9RVw~whvE^ACQzJ1GML4XJ1-cT0$<1
zINbu#Zl+1_dI>vr?0}u8^JZpz6maF1r@MWkfk@lg*;(4!=74!~ndg0jh0n#Vak{Ht
zEt-L
zZG?mglsTV(9QK33)g{Mr|C~tBl|gKSonqABbB9D($8EU(}s
zz%Y}^RC#U;UthXxX!syO-j>_`EhcyokHaMw6&I@qj9Ef}=C>Br(ig~7?heq?#y`jy
zUj`fpu6je|Ib_dkDDlAE^hqTle3wMo{@P=ji^cgdc}7)MsOjdQFiihnTKF<)&wUVo
z`hwdfm3PsX2A$vC-sUy#eC?W=bKNd%ubyqdkANzbA$$k%ihtLDyUw*NobK<9SV#t3
z;}BQD@YfAQhq&^!JDKg)9g*3Ul@8|PPkTRn_+YgB^4&+^SRrC)|C<#zjufc0u~;;D
z-pV(Fzm+Eabv^6-UXk@i2E*$7`8x*{9mAPP9$e-s7>&v0%ylR05qfAZZG=*4xTPsi#RH~-y
zIWbrda8SEM0;x1?J`c17l>64l&wZ~>wIPG+837p)1URUo5GeO{t($OtKaW5g~NY9=vO`ywP6>-(zCJdVc?vZ;12mO(MKqhuc83H&VEcC``pbgbT0UzL)Bi;vGr?H;
z)wZ1nN5IGJGTg8lT%`lcq$Sr{KYz{!mu=gDx<`I8#)|iX{q^cKG0-Y7_xCUH(<q
z>+x7z)8|!BINt
zVqirp+N)0Pmry!eU2Dh=~}>OyqfW
zqy#VaKwqQOxqgp=ZBZu2{grBMM%d@cz^X-VEZT4QAqf7-BUxDr*Y??PnC$~x9ohyc
zxVFZrnwrQF{)Po;!b;xybbWA<+m%Au-60Z|ra8~-u>AdC>;({(Rv^EKQhH>#Q66v_
zAdcnWyZ>_N*zx1)K)NP571kgbp0ugf`3Hm5CNf58Sy^`wGva9fY-qDx#p4UO+-s|&
zW`q`Dsqj~9$1szs&^h0(6#ld}QBemvAg~^7(IUDd4z7hZY7xu+NSCU^c|6|Q@m81c
z>7#FRc=u7&Na5N^oTL
z^S~8ud4|HRqnov&Z(qH|V}v==RUolQc86<-b$h6y^(IR|w2onyzceaJ)8be@ttO{)
z$YfL3=9G98GP{-q3!#`7NPJnQ1KTUQ_)xU}<#)Oo8dk+FO)XnRbY8)G5Uc&9IQr6p
zad>zopNBY7+Pi?{CS`h8FV!tsa_npAs@^rL6h;ar5AN4e5be1?&d6Exo>hTkK8dv7
z<3%7?!!9-l}hiQ71*l@%>RjQ#PTJQX)>DSlz6p%
zLf9G~F()lmKbva|l0S30-rwibGPjQ!vJR7Bb$3rpw6D{B)3{0A)lb^cdmbM@s5iK%
zUlO)3Wi*BU1cUAJ>Id2CRc7qr@s{seAI0oBCYhq;Kk^tgdZ=dcF33~fmu4nEgG^@7
zCSr;WLLLMMH_zS;WRr2?dXbf2uG!;Nu+Mwn&h-&8MRIB-ApZ|P4h!J#D6{B~*;7TNV9)$}I*W
zBu0v;R(ol(M!Wq>Li70x7u=wiN*dIlKRy=`QDwAbbXKR*xwxZyt<>ZmIstc*+n-Fq
z->iRhI4dh9^rI{0;{Ce>e`|XY>$OU&J`BXVz}`y_0h50-mO&bX_7o4KYuNQ^I|M@~
zxRPa(ALYZ(D3BpRGdq_`wc$0VvLA}6c7FtR^rM!Rt+cc>LpC8z$6miCaurp&M-XRk
z-!&zwN3=d{Zf<^x=B~`^^#cS79f}89VVMa9hn62?td8;cti+>=BTL)BU`+YoAfuqx
zrvs`D4Gjg1YSz;I?m3N!5Ei2Yr+f0DgNaB8-Bo>~%}5Au?q%=LVdFf%7ZBQyiRvq)
z`SCtpSIL1P0`X(8?EpXK+APd+fUOSH#|6pAor)hA?p97PF>qElexZhiP`-*3Vz-IU
zg*ddAl98dIZ(tdo;_)2nfE=$i3j(+bU^5gPby3)z2jxdv3N_bLp6i4ZL1(TcXxedT
zco<#({&&0lPMTkqBUDSQuh`LL^SyE8Tc~pp>OF$9R4TIiAQX5hVGKq5&0jZGKW?hR
z>aT!mFDM(AN4B)l)igB5pz9jAHWiE;>3bKA^qu`etgI5cELwmtVb)jpq2M_EEHRNc
zFNBhoz5w_ioH(u-IAH@H9%$EG4pL+M0bSCoHZ~*jhsK=IIt$%?%dCRP*N9l%&`k=e
zAzubh>BSGNgvmfhD$gq49Imh7-Sf67>2yWBE!8LOVw@!B^}yb^K7E~2Qy`gHQ=AHE
zEZDNv1n`oB0&O&8W$U$Y6=jL+uiC}#(4wVcCcj4$elg43!|;|H|Hn%&@ZH_#op+vjX70IXWXo|gapT3zYHJIGL14~p%6me&DD@ZLoRq7A-f&KAQYf@a>(jdkPr+mxN6TJw$E98+
zImWcACCV3l1|AQe%TKZzd|s<%3?w|`G38!y3NbVN-kWkE>|e4|=yPp@99T_h(m8J2
zY%m$J=@T}dHAekCUf}
zJihjgz`K8ciJ~D2AcnWz7Ms
T@Q
z8{%rl+gktjrcDa$jT35bxWL}fp{|21Si`=!4R&T5Xc2NNJYf<*)7VAb{O=MWkPsiW
z4^Ie+Pbb2p6h=LwkC$V>!a@I)sj*WJQ@YTjMfMB`fE^+6ADMg|WbbE#)u5KL|31xb
zIr*F0FR{6y*~}=Qum8C!8`6j#RN2r_EO{0r`DxV~SU+;J`Fit>k!O*!-y%)jZqo&$
zV$F=pN2iAUj*uSC$B#EwlAU*u*JX#V{(|if2?g6<6G8$}g*@n~ut>6EmC2(cg}l@9
zrk$IOMH#qZ0LJ}c
zKJw6KWFOmO6&Pcca$>tI_=JTE*4J%&`}*w0OO2Bf69-2|VwstlW7YEFRG7)5I>{sC
zEMJU8PUvrcfLN1zHzvx>MSPC(B`z0;Pq*t%XI!JKtgVla5pZMri-}IRX~&v%ldB?l
zj&s0aGGW3^>ijvK;?QaHjXycwJE={qN@bGN;wawt92jUjq6!Po)3h)l*g3njHJ`%qaL-EyqIjE
zmwH-yvDZet8Iyjwl)Ef}9E{p1@4RR4wdc1s@Zjpi`KFq-b8!CVY97acD}!8Z2Bi|9
zZJQ3~_P&{!nU3o=?(oQRq>Y;7u(p{D&phg8yFZ2b$5r2
zjg7_jTFJb~CPChlijqL)N774{BK(#)lo;>$H|_wh*_R^xZQWT}Ss9p>s^po(ae?~!
z?)A>@Q4sy56#dOvC;yWtBsO$!|dFRo(I=pV({Z44G
z#9?CpTK)W0=}yyylmE%Lbi&FsDTaSe&kUUG)*sIK!<(nxoDBuU5eMfD>~Ud6<8g~Z
zDXVVxN6-dRJ?9F*JtdJ@lGMN4x$3ugW?gzXkwXbhm74DRq3V9pg0pVgJ)5&`!>Vy%T_ZPA0A0cN{<7|TCHc75IY4{nsE7ZmfEUytnh~(o|4fkLA^5
z`c>lNhCONjB?fw`33vO4pFf;zO_HvO$Vc59J#9J_pM~FCAsgo}8e7J9W6dZl9x2CL
zRvCM2($tUcraU5`U~vLY_X}=d;0`~&EA`b})M;Y6RNnk*0H#zUc{j9HTE8>2u~F#M
ze09>|9PCs&P1sZ6*27t|7Ad+jP}6+nIO{R(*o5#s+cWdOn4Wj?N;IPcQP;k{ZI8j`
z`N-q@g*S4-_7cJS?-49KV?(-j?$ZpQ1qi_b$NvV;KFf57Xy8UTk9llRfTI
z573G}LLF2bBHA@%-E7@8a`RXpeylGNaQR&=U83>HSb1t{C5!U)cA08PAy@^E3roJum)XSL
z*?L+)90+BQrj((=9JyDn0H3!(
zxTZf51+8JC-3}?y^%~x)2$-C@mt|Z;AmKZ&HGS`j_HIo~Fb`yxbJDT1L^#*$9yHVW
z?>WwUOvZpKyK0*4&+tlP>3r>{uX27XRD_O#hOYoIuZeRGpV**Z6pHsohXVKIpFz=klO=mAt#k^f6ig;dCwPa4Wv|*vtZeU7g@xfp_=%@3mk&S80f7s?04FC}#
zj%AX!()G+#i<$}F&U+9q&QN;iO-|u_SS@yCs1-aB+m%(s32D4%Ht2MhyK-y`qgd06
zZ;e<;k&q)ab1e?G|Ni|8
zz@{OeNWk&MVFspSyA=0rwRJZi^N=mzW+$t~%P!`s?Dg~X#Vsj2WE+hVU>WGRHVkWz
zZ26yd8`PgmIgZ{IrH*h4ei~6($bE1q3P2-ol{prBAkuvEiADW<4NO2Gpfy=@t0Z)=
zMa8sH2Esg299Xc8rVcQz!HcXb0a_5K^4Uhu^ne4@FcG>Db$%Hv*jC(HVC&&0|0yVd
z0e}n7cd+5rTmj5KXqkoa;DT6+
zTt)zLvyVm3(0dv&FJ=8aPS6mGs$za^0+&({oM0e)u*#L%;O=|BJpV|$%UHG=(eE2_
zSB{=V(@<#8qhLaWIg~m@4Ph;?e7JSstW$|>?cUY!G0j6EEcE;LEjEZ%12Q{}YeGOz8qwbEpG+U?S}
zt(C&rfD0QakhG!B!-#+d>o%T+l#QDoUYz%ue;UY-X-0!O48Og~ncOWwPqpen>TaqF
zDWvM`2;jRz1PPmU6_4!AZ`v*@crm4Qi|7pzW*Hl?gKaS?u96Pt&v2UIv
zhSYO@LoKV~zUk2oX}~Y#qiGQa!rK_sp)!XuBeS
zsw4DSJ?dy&8jbD1Tk{KFmoQ>(IL^u=&zpxWFE2SCUFyV)UCU-^g1?GdUo|vpjhKtk
z20oYg2V#$IJahn$_6ax}ZUdzEr|BY|8@+LwSj~%*Dd#}4qY4i=ex1Xoog&Dh$3)lE&kL!K?gZ?_5+!38g##2MT`+RlA`UN(qNi~j6+e2!8M&(A6<6Cm`5
zk#r%~ikfc(8#E*L%`{mg1uv$#BZlgZl(NQ^zKus&z5qb$mRsum9&F>>-xshJLA&JGOl-je}AJn)?3zJa^qP?&?Zk~?hCDvqi4+BhtQ>io9J+}G{wvDco=hH
znz62g6{>LJ9*D}+D;0aRVFnSX9v!-}BwSGWgbwQ7h?Se5(Aj@JX~EJDVG|g9QGcd7
zJhHV_j5_Z2?(U4$u`LHD?UB5D6
z+KNj-G0yd=`q5$My}>PhwgUOi8IWcLX4rKy{5RbauciiDk9NDYDB88^^3~#A9_-rf
z#bnHhsU98_h`omKPqlTOdKl7~O$|v9>r6#6d)MLQqVH9r)^r9g6d3T}pRTiLfv(%Y
z+ul;OctrlCA)oINk=0+;&5N=R;?BIq7YIYWPr2%l*5{);O8K|cCOnApZa@0tiq~)t
zWP4A6auX=A$LOjlZ{PV1Rl8CSn&J$|RjPBKLm)f*PbT*7MFO;G;g{d8Szhs}un9OG
zzjlNmn@Fx4=;#ibhUdgfDFtp!ht*$3cMcmJHd?=gt`Pg}^idtQHQkFs{*EZQQ`Ohmw&{i-I}sL?6%L
zPBwvZcWNaK>|Sa$-)U3qZy}s%C~)E5gXuu-?@><`;y}=`&`(Eu!mdzwa+2t+ueJX1
zWp}eh56pv6zhWpidQ~=ViayTAFGZX^if-0-%aA3c5%25Y)5aej^!{x#{qK&C|EXdP
zZ3N|S88*w0a@{fGu1}fTdR4asSH&O?R@CA6dAn=}
z6(gQv4S2m$POD&XjO)``A~R0Zl-Zvp$>EA*i(Zg%nDKIQr-bdqmK+o^@Oy2_GOMVX
zr0TrfJ@Z?tkVG5c0J`?+Iu!FxV`<|Co60RAp9LBG4R$;tH$m8}d%>K%4-d_`L=E6g
z*#$*+l7z_Uho-O=Yoi-AG?_NL%LrtxRb*K_$J`Fp28UaNgyZy6;(LI!oMNAbe}B#%
z!ny4KgAJLXGVXEOPEE!;pUo(F2!dSGA(Znp#htL>=+&>>TQq9JBTp-ZR3j-
z7MgnS^dz{XD(|Dqb}uorfW0m9l~#G;9?sJ=4o-;?iOYhT%fq)XdE<+-3tH_ha&*-^hg!k*NFf}zF?8lBsY^hP_CQlK{~;Q^c$%U3xij_k$crn>r(K6~
zf&|Y4vNL81I(VZdl_OVnd+c_`hm=xyuj#pH+K&75mg2<{_iI8n$zh!OG|o5+ips$x
z(v?zG!bV#@86~tMJire5L?pI|bdI4*X9!&D{KY?D{zg%nyKh*&^EpaBQY`JnN?pl&Wgf)*W)>?a7P=!V(VZ
zvXQxJX@^x5=t
zleTi(18#!xkH3%e34w?$N3;O{#a!&mZ&{L}&uw4xCE?aFsVfotat00xIHhB4hxaUc
zgENP2(s|gR+BOPEFifdbb9=N0Qdk2vAG1|+9&ZIGMA`dxr_!pyzf6RWzBd1>)Hiy0
zHTmb872(r?1)r;z9U;EaKP9k$i#S2~Q6JPMqaIP{1r2R~+(BNC!L|2OeBx!nTv=xd
z+TXNltRl1iSStGw3j`Rv<{`iZh&DB?Dk*m!W(^M1VR2AxnGf!r$70`dD-JGD2#KOYvyb?Z-!9!q;fJ0_FiP(`>|C{n*EbXNEa_e&}9wMRU
zScKB?Km?9AhrLj)ruCi6b5br05xY7cv3YWjkisrX;Yp=oblGlFF<}-
z==nF@9N=*DcezqKo8+z8F8oOGFiv-(LISO8*>{c8x;IOKVKSO`De0uM
zApWxXw(4CkS0FB;b|YC`Z5xU@!NI!iVfg-yaNk-DH6_-FGT1$6#5%3==+#%-GwtS?
zgSPYPp3x9(%g3Q?uB;PX0S->zBVw~+;!grBq=(uj6=ow)mwDjf|3s*yY00
z5GEj%?KmPYPU3bk*C#6aD-1Y?nN9zD9;MXzvvQ{Xk9PfpR4)ov=)XGE8jw`GfB&Nw
z!e&X-QF&@3_ia4;ZGSa3WFCleW+afimD}bX+F3`DpukT{CwS$$^FEn!m-GlnJbDzMA$&Pp!4)utoQ;P*U+!u%Wvz;YngAms>0+*i)A7riOZ(=W;WM*CVRCn8#E-8M#rCo5Cg)u)@
z?YLPr4vR6P6akzad4$KD5UrFK3TpAAXY_@4eijOh2mWNSc8byo=*DKh)4O)LcN)>K
zqG12SNpOujPXXCGCn7mHXKD~_p%CM&ZgX%jxJei@L!s+7RE$mR_$-f;se=(JERW9B
zqQI8S|JA(IjQ0p$SG?ZV6&VuX9htYBPEmbK$u5QflSTAH;pNfcII$0#36y*u;CYCd^r^1|hS
zy|*Tvil5I{RcQ*X^U7%we}r+m$jim0^dTu)y1BZ+r6R0dFiEiZag*jC2#?zV@Q%~i
zW34jMN*sDWjr8;1)|E|7P3yap4tk#R{x#R@>DP+zLqT|!J)&{!2G8O3#t7S0@BC#%
z0HEM(9UWBxO`hgModi2Ni
zfNPKm+iCPH&t*Y*0|Su)
z9B>_vA_Clpx9+J+UR7S7r{BB)?CS8%8U2mSxRI-B#xxf9^Zy13UWQtn|3e9smz8mE
z=}M*d_V#vh69A$%Cnv`Y(Z~E=((~0s(ftCEpZ3@CwUKIlK_4tswy%EuRQSEb_X_4N
zny|v*q6Dk5?o0ddx88HklMr#W%YP$-M!4Q^W6tvmW9{2b^f4XGKvDa`DGAr@BH)pv
zmc~wO^F59AkLF3<`W07i-N)d%LmONlITM~d0*>{|PF>U;e{(uWcMn*oVFy)
z6_V>IHLhn=j9j$w_O3;o4!+S2F*6$JabJIz>J^3_9A-vIGoQPizhIJv{!W-9iu~f<
zHKktF>%B+@^+OaLsrln;^Aa?j;%zO(ua{k>$`B37Z1E1pw^nQhb9
zkGKQG*{-{ekTKEGz2YUK67flq%g=KgL4fe|h@Yw@CYQS2{>|We|CxsthE0E*3yb5j
zNrf)VeW`X7ySwX3Q%=5<#z`7G
zO;RX=)2FS^h(6!6Dd{=+C$4^4(kn7=rl2AW5m#guZB_~QbDybT$y-APm@KJJCWqKp
zzvL3FNT6%C%11|sO!HnD>*v}!`8~LI;`$W^GO&&rwOfHHZ;Rf&KbZFUt>ZG9+Xv2P
z@0EelzVWoDy+=?JUuu|zN^cWO&fm$fnM@8|D^?Nn0=MeSb9yJIU|ImO-DRai{kQC<
z0lENL%_P2>``PnM5x+;?u*$_S_L`+GSMe9OT>oICmBbd*p5|1ZE&3g<{0-r|NYjy*
zNhtpQpe=Sc@R^qW8w>Bz!M`%zx(CL3Bv@-#ng#?XO;r@P0s&v6Sbc(4xJ&V&Lx=+n
zi2McZw`)#2y)!X6DfEIuFmW78%0g^iX#;gynp2ht8%L9%U5zLb3F7?H)&>?8?
z9mFaG*r(sy!FUscdhf^I_#cqsY48VhA&luC-QSaXrXx;>2xhQY8Ym
z6QduJ#%ocW?cxtB*Tz)q1!zv_aQ=-K(;ahMhE?*rTS}8UZ#snJJCXP6%~u8xB`JkN01WFGMls^hIG8{scK0Sw_DmBY*Uv0R#m~m@$|AnNVu^GJOk8
zV{Y}4Otg+yNkhq<`vMf}$l&R4swsD41FM+<0F@i}Z%Xa2&b6lZ@~n!M
z-`~H6_5|tvVCuWIM;G^?{gjBs6zgB6OGZmBg?b8^mhK|7Zej6)iWMh#39NAu>r*CPtqzR+w`0>|~n>F7w;q$>Qi9-x^XpHpDyt$W
z6ceY8uPc9l_^Q+wXQualb0l}o!K6-}~
zkAl2|dv$bf|dFi~jzFc!q_Y3~}%h!=}O;w|`HP)0Tk8Dr;3mkh#Yr=Y;Ck1rA
z@^t`J?;i{hUL=G|>3S?$uYoNk=U#ZKGzNDcu4W!^P71J=-WOK3SEta0`EH&N^k^WZ
zbO1_mAm|TmufgH3)n1nR_Sn%9^9x!5MK>BUPa(R|=riAUC_ko&XOhAp=kW(e{2_Mx
zANTAnXFtbHT#|h89dx3;cG%0#NnftIbd>?CCn_)g2w^`CHKS76`gr8mAdpE!ND&GO(|C49pnR+(-i+F{@gN`oE)9x4DZ6*SkH9D$`H@A1s&
z(Bo(5N0HxpIXpMotxDpDjag3R<7Vh}nO3{I>Ukc9WX8l3(7zL&C3+vK=6U^NNms1a
zQr&9iNSw27I@2z5-`}n5r7^cCZAFZ@t-XhnFS$m|Sla$6bxdKu{Jx58J1=<-@lU?P
zou!t%B>Lb9hi6v5_vpr$PGo%~$T&o7?M`uq*b%}N6trMjy$XYck)i;lwdVh%ZY@Nl
z)#Eef^CC~SbRjt+U^|%LEZ|?==2j$4=!o+jJmF92Qr9*rFwiAa#JR{=vr1ZDi_KZn
zX#t@$R@9Qiw{?zk%KVF#pXW2ugwE-c%v;E_w~yybex`kJVF?mUcOv^K%UmqgnE8-2
zIsGHxI6CDKiE=J^4v9}>v>(uhSbQ0!`l)x%S@LKwoVuHKYu>?SP*HiX>j&Xi5LC1J
z-Hj7-6`>_k!&{WDivpOxi@ex-^>zFjwZzR%%e#SlDK$~<39r7ch9ft!|N0^m?B%uS
zc6bPFksGE9f%^NEd!}kVl3WgW0%A2H?#Rol+G=u+Q2!su5yrmlLr-+Ww9TKjgSl`xFNRRacJfN*K{&+?YW{hDv~#Sci&B%NXZeG=QZ%p%x^7PRyC7$
z7#kYVz18k{>X{HfK|wg;@VqdMvY%EF3swV=vyRxXkILATwydmHh!%ywoX4P|b^(57
zck@g@Dyc7nc=~L&tC*!pSsc8!xI2lVKPHnjH~PZ7+lV>_z+6v9CF|XuZv27PJWZ3N
z-#@;%a7}UMy-8rC0`~+lAZz;lj^exF>P-D$1fD_&3KkEpgY1>f(f${0auwfUX?EtY
z&MN8&r$h*TzkYlCZpIc6K~MDY1LbOwdC~6tH*F~?ttT8
zF*&JTfT?B+c+YNEaakU#o;1nESYYN$RKw$Liy=%*r=5J>FN{8inr`YF@#d
z0X{Wk)T>REUahcVr`u`pwg`_I$ozCN+#T`&2YROAWT>m+-K%@Po(Udh%H3aS&{nyA
zK7DZVqN1tr2P4~LMn%^L%B1?oCGT*koBOf_+rFP>lO@mI)A^apNtIh?ci@N!J_~I7
z#5{Lbf5lWK$6G!wg@gB@tTkmkaQ`9iAy!IMJRS`RjBtRK6hBIK35v5Jx|((L+$yp|
zYpQl1yp)T0qm~ELrdi>E!%Ho-XTaf~-BtG#+X*Q+%40qd(`53P2!xytM7-c}a=`O7ir_>syaanqn}M>BVz4S_G4Jic)1t3OduOjLf!AfDsuHZ+t*
z!(-rGobi_?`MnKQZfvQl@@)3Q&Zq;svek-)4fb-x`ErP^qlVb|$@eWLd9}e9DnURD
z_)uSt6iYf^6h^y*rH!RMwp%e)RHZE}HCz~7Sx7LW8kOMX9GeWMK{@B)U4>t4-w#qY
zK0T4_?_7$z1pvuZNL(*w$x&g=wUMH|I(d!meZY(Wk^^NhMZ@=W0E6&A79s=L5qC$2
z8FpE#{dLg`JHpH$0j_(M3R5Gco5O`mMw9sDwU%8<)M2}k;clcx3@?wW6sv*q#SAr1
zyl;jJR!tt;BR4Fn>Nciy_;I~GeA5#Fk&#Qxa@n74#rn$hB@+S2?hHOk_7yeUZSWKF
zhFK$~tMZf$eCxcAV;Yy%wyuP?8z1l*45#^yE`*&_F!UERaeYam13?vV+1$V}QqsJq
zYGI!=9VL63K%cvzb5N43@99=gnyZBWBc7hQKMwFf?7o>~-`_{-?=LOQY?yOrhxYvK
zHZs`eU0gDz(yP+4)rfi${iJHuM(#Ypk=&#xzw-HKL%W+fo<}n8#@WMEo=;m*+UGQE
zR1(1LQW}clOzr~sJa=NZp<~;W2@umXdn181IPK$0|_0+?bE{
z6f+c$r8X|}UAT~&vgUGxOeaLn`a88ltr)^_D~A2g$B+U7IFH(Pc!AGGN~wT!*^am<
zeZ`PSHD)elf9pK@AkU!}mV9uPVqvm3@5%}w4cmIcpa(fY1%s>^AsSU`8pRrA>a&dPc$UO2thdMl>?RMGGn=dXb
zSGvLg?4oA~_QGO@K$<`KvA6A8sLX52q~9O-ah)c$PxP-ZuK1!SXx5b(Hqv;qe=|J+
z0ZLi2r^a~3Rjfn|HnKCXP-9#@>fqA&ylK3G#lbtW+5Ojbp-9nunRGnR2FR-nrA5_G
zG8uf!QOMrII3YT2$&{pJP4u!hs11f?a_?d+)C_^{aev(1GKm@O6S2bs(|;mP6z3et
zN=W0$BuS)L{Q8yrJOAtKZokb&;m>NkMDQX|G~aRL&rf5e-LQPjo%3&@4^&}K8an^f
zjxu+EOpJU!zmib@04?_eSL(4~@|Q&1lP9!p=dfv!Lt_r7$(Y6wS@-7@DVZRDa^d8t
z23+CYd%rJ;DnYk_O<^hyRY>{zCGIrn9SbjiO^ME|8${Q?9}BO2O;6qyZ8aaG2dgY2Qw^7|P5_uAUnZNL_w*js1SN&g
z8bZ%}YG70|V`iq2q<#Y9sc*k={!MNDU<4pE;B^CRVvYJ*lrk5Vem^CTwVaTFJG6wX8Ne_SZS2xS$T0~E6ZaDi+O4-
z9Se4UY`a0jLuG
zJ8H$SzbU^otUaZju?Sy9ugdZH3ki>;ae#-JCNg)yLt*~$xvWH0nL7+ryc#lxj%ZpK
zdP5_>KkH1-NrNmU#+iQSlcZwUc7;yY`OG*aa5+JGT_OkU*D{3%NgVwJde6b(-j`vp
zxtS0Fo+sgfDQ=#^6agRB)e?E=*APjk0ukMM`ej}DbA18*&y4+tk{5c6=Ex*0l|mxX
zX?Op+*W@V=a=5~5Po1;nA7=bA`rE9<>>l7I)J87)tMy999xOlj3|gW$X~!^kFap&#
zzBI$slCE%ShSx)L>VTLPx!{`YZFHml(jc}YdV4+LZ=$Jc(MLpFoXAbd0E;Vk?iPME
zLPAJeAFF6gF@UuNz*p!@oq{@fnC6b0(w$~*Y4^XRc
z!wBz4dqq-peL)4`QFZeJ79K4~+C>PF)KPpY)B>4t5
zizljVzh2b|L%vf?CYGOam{4dKF(3NWSmGMQ~p936d=P?!aHzY4>&qMpT-CWMVv+y
zJgmrXXzHHXB7PFyeEO2L|_`aJgqv@|tN#FksQ*(iy
z?EI}~m~xeo1ALOw7^uH|RfvZ%9Sq0iFlF2tRNB_t#A`DmB$XXgu#O@%I0r!X|tfuSPEX{lxgjZ2V2<)Kb
zGV^=MTRV_x0IoQxN#p^;&_yMqH%w>sGB;=ImLZ6eE_gc~uS$P2?WYlJ9?Wb!dNE0A
zNFCZqsA@#5zoKD;?F|wuRKvqLXg>;P3kf`i4UoFD#Xcnc(fU?1k;HzYqCcVX!0T{M
zu~xgfdo$AGMlP3&H}6H49mZlokq>+tFjlQW-f?%S`R;Ieqb&DtVi>45*$E9(0x0+P
zD@moK0~Oc<%;M9x0@jgghDs@`V$NDsIa*Q=ve(8SejnEcDiY>VYQB^prAtq
z=T;eE&TAnAIEtLsQ{58I7x(aLt{XU=!(nsF{PO1sm;877Qvnf6lZ6BD3U?;3PcvLf
z?p#XrF<-DC$j3^=^la+4mZnK7qDP4nLS^==c|Wv!%JR7~PJVNz!*ZG&K45s~*jt8=
z0QK8=zSp)!+WJh@{Nj&O9gXR<`$1aDC2CHZLJm8=nP4n9Gk7tm2uFJe9)!AxIPj6Z
zSR~E+Hz0CoA9o3mOEt#SGBS^!RG#P@E(inTOZr|6j^ih*IZ*g_eg@Xpfq56Lr^NBZ
z2~%pXn0`;X_KB?AlTtg;ioy0xtGq6XPKnN&Jar&yN_knkR3@K^o)1S=nO>_s1EpY{B!o`hUL?xdf!du4NVEZ$xMe91YmYfz8CmYS
z8ifP1)GqFOWSP@?js|X|b-0(O20U2T;X|b~n%T2tD#4|tt7fa-vok&=f!~3f)O`s+
zqb*XSI8w)}iW8t$gAxo6T#+Z2gJiT2`7tlTOa++HUHWe4iB)5g$Jr>{Av2L!UQyg|s$Cfr{7&cEF9MRDgzx%WgIPj
zAKrb!h0MDPDUNdWoJafBKS9FCrNr3-v5TVJ0X=uIG7#skU!)%F>*G95bmDVp)a5!?
zr{>UcAnuyPD2%1Q*?*1@qGkpq#e=Zm8xF4_B=6$>Kl`SN$e2d?NF7e-;U!i07EnS#
zk1N;I8=2_WFPY!!{-q?5k+V2-2Q3UWy+mV5*OfP6U(J+F$nY!u_Eo%#bL)WKDP@n)
z>`;hAyXrs=J>v&!FV2_Qu9&TM({E2BVicxy7#D9A8Op6MY!;RJj_L9hqhmambvqWT
zcF5566ojJ@e&sRR0!xa8@XqQMJaXoM
z4iUa@9{uSlU%6T5mhtr!kRJ3mZ;IHEJzgcgTUc4K&j2kZ+
zl>!GGa7Wu@kOncMAlEajfxYa5yYm{QZ_vVl)zpx}TF%TYD&cX<5&
zgwU1hE$0t>(nesq#!@p;KTd|m1g?Xbw*1;(W%`g5H|UZBMHX^cNq(iqXZ;fkCe`*+
zx!8%G(z1?ls%?q`(4U3@N(xXAXl19h7H|0ix{g8LOjta9R}Y)hoYiJCJDY&H?MY+7
zAkiZ+#l{}1q_FKUR(Rb^%(T*W)X9!V4h_wjh_Z6L$vS!P6eL;G7&)QsgdU(>;
zwIVuqh@zeEH7hd%PhfO1Hb@Es7!j8}$sDgiSyb9gdCfC76M%eB?6O;#?J6Cg1nx&T
zdgQPA0o}YDqa)}%)50it4lE4X&_o*n^PSvQfavc^uUMYCu8GlpRdwQ~2?EH}@h01g
zt{-rl;>*l3&P!Vsc-^DCCEHU(UOf>EbQ|%5Ud4ENHojuauxu4n7vN1r$-$K2n^;h8
zp#NZZ5cW*n_ZHTQBB<1XVD?$t%~FoAeFd~d-lp5}0ehaY3z`xC-JKHsu8QrPZLv0P;}RApchtsME@XHj*&)
zM|E-M0EP7JuC|Q#$
z^T!o))Kv1CP$)+&`ST-S*WPBGP7GkvQ!~bJK0r3S)!5ut8ytZE&cXcDJ>NwxFYlly
zw)pJDVy}CX-CZV^Kgn!f?Jn}_c7I_D4qo73J9k;f#2s*^aG!G*;Aim^_a&bR$*NCM
zU{l8|OM$;H5WEs!(0siEEF>WBWxiVy)tB3Y;kL#wvwEY30lN12W
z6EW_#EC9EcC-&tHB{hi6wN+8kTRoiUOeBBh4Q>}sjGloKk<#o;-#Yx>Z_npR2!h<2
z$OpZRT%&^;WxsP?Go5Vzo-Db8<}1#0!gGuHzZ=sL4|U+8X;{Df)+juQSi;tJx6D!5
zKG%=~H1PBV1wZAig(X2^RI)=Vlnk7p8}QUNfh2Ku)sP2QlJ
zX9ujd-{!vIq3Dc-7hK5o$*nScLkB%`fK=r_jtuTDDg`YF9Jbv`)avZZ`VQ;{$n?TNUzxRT$dTVn>LurxpBS^Ww=0`CI>}-BX^L=qrF9Qs2Q?PyZpv
z=g>4#>Bu2YF0M`D>p#Rx-f29E;nzsSP2GYE2M34G<$mY!Vfu|xzt~}Td_n?0KYvb9
zX`PbboLAQ4=F5Z9u|=Bsvyh$oT?xe@&YGD_8s~=c1(%N>Kcc4A3`;pY?uG=q|Huyk
za+!BG+VsF&Ky?o=9IzbsFIG$hs<3j`i_P#XR7H&}P69lZXdG&$qR0}`!T*qSg`fPt
z$4%WOY&u_4Kdz~+&h7VG;hnygkd#FD?l$V5&iNurYgeeRy3#L0AK71Y$>wMcUY*V(
z^3nqgE>5lQ+2j?NaNHi1INP=jRRz9)PQ2r#G#CY|6TERyG4X_8iB2i>;+(+d!+
z?vDpXzG?I-L>BdSWDNnQ{-0LkuIEar^tzzlBWGdl4`u^EDKX!;UG1AGOPms+ZG?PJ
zByM2EWN{>&Xl|B#)J7Zq^{XDp=H*Li6EFi=eIk-YCrrukPceDHk@xxoR6Ka
zdz&Y9uu!9rHXa^&VEXY|A3SXo=wd_mc{XLCMq!b|l2^lyHRqzuhoY#t$)l@XxJmPQ
za&v(NPpuDTXc3$Oucl|3ArlNmpgB5ZSCs;
z&ocdgOu)Y2eDui8-B91ezbbp4!<4q_0
zbP|5gZ`~Bolv!SR7!Od^!R}O#NyRE+YfGO-Gn1rBUjX7yw8A$elnge0>$NB!7hljs38pkZFW%wxc~21tj>7NYF+8|
zH2lKZ00tZDlsI`}>@jIcm>`Op&fa@NjG9}HiHT_nNo{}mWY+Jn7r7$XT(BE(S}%@Y
zT+Ks}wJ>tr%jX+3b~9&7{jqPv!^i=AT>xZiJxM)PiRXrV(&+u|?OQpte%2JkZOD{#*fw;GMSfeUS)d8Ff2#n{J1_f;C1GcS8A6P8#D-2grB+
zB5kMnCg5sr_X?J=xjWZrC^+*MR!YgF_l!_Ms^^L8MMN^_2JxJA
zPteoXcfZ)K@l5seNy}?K``A1XL@beSUs@}7vo3j+2L>U)WH4&K=sah>I>Rrf>$a<>
z{Y*{^i%N%prB&r7IH#Wf?w{z(n4JjHqo~3Q&*!!aUoa^FZ9F|ucR}f+;r#8eWr?`%
z$j|A&Nq)Z48&}gPAiT#!9bxC;QH^*LoL)^Yx-8c7pFz)~Tp(GL_{kT>br3Bst9$I?
zNI}CWm{Mn9QZ%_ij=TS9dE?kK)|yU#z4uciqhZwB~xYS%Ue~^qcea
zO?gS==Q$AMHaJYqmFC;hlNjV9ZRVT&eg1~B9JOE&6D&#i7Tl#gCyclZ_bow4Swi&2df;M!g
zrc{3YoNuFlUhXuqwVwvN2u|~+F@Op`D7g8he-^dvsS*e5FZG`!fZC7J9H$M8jA&2n
zwkY}D&N+0ZCXT3OCS%7=wJfmOYezB4nUTe*94ACGK;m
z=1)O-20Bt+4)@GPqbh$&bRXEt1vAg)6sE)O_kYGi#OsO}e%5xeY*z)q2y|-1kql{S
zfDcuH(lZ_+R@W=1ctX1U4hd;Q8YC1Xq)P!w>68YQ
zQgT4L4N5>tx@+i=RJuC^q`P}~&+vSI?|kMDRGhi@oPBnzwf4S_JzoKUkIb8Z!lRC{
zxHsz{s3(q`9au}u*M;j3Kt=Rg^*dl&UL6=R%vgH9;#N2r$JRe+BwA6O`d{K_j!gUj
z3-(9pARXl6uxjAr$jd82=WQo$vyHVVgG|?v^9PV~G|pB|-M@o|?4NzHlFtzY`6GYX
zQeJW-stDmlT?Z(cnz48^GnM=^STTl!W&yhoA9poh8x79pE!nIbWUxQg8PRcaltE(J
z=jz294kG9}xDwqqXIGEI`Xb*wQrpQoTh-6{;=1zfy7_@}I9cO?Z%NPG`;=iX*WYu;
zV~SZkj@QY+PE6JqAk+5DqTf7zoMrq(Z8M54ofN@;cA2B~WOUQ%)9S+~prKZR1~L09
zs^scYqR6Qrc|-fXZ>7yZBG_a0A2tgvb&0jc%8x!ey0U#;Q?f#&x@x`OnUMG*q_52y
z$ymMp=>p6|lftV_lRfh5fr^Ns-ow;He+;3%&JUm2Pjh=WHS@&J203_ine>Mu*3G
zTn5A+418$lxcV_^@h;hfd)?pPU+o(kRzT|!#sLOVXf-oY2r~gOjz>F(e+c2LZ#{y-
zErIR*lcDjG%Vky#eM@Cxo_k|juBS)7M#&pl*>+EJJQ6pH_vFKPM{@FCYPssTdS6x3
zSYXM3*Ug5`?j;^#0nBx%AIjn5)zs?P-{*z7AYN7J^|@Y@m6aJeT_zJQnUqk>vlT)Z
z_2e5hsZp${NsF$X3@76A1HUl;5hK02oY7Z4ujD7SB_pl6s*c3@tR%0}+qhf2<=W|Z
zCCM5(?uNkKJ6A@DaevfHih$TyesO;k&}e1X`wM%`Tt#d__e3}7h;MZvBAskp;?H-_
zxldKf!L}zW3&J7bWld5B&ApFGpCKN@@`OEBNf|}0N>7$Fi;OL$HPi9etCDeIajrUX
zO1{)v=|G5sY6IfsVP689ZKA#A6^43jAs
zF7hX6QqOnY>RwuK4xQ6WZj6st#NB=8TTY+x8ub*4n;;azA@U(dT-_2adB}JF497+F
zf?HoMhCz=2g&rM@2yyL}>m;K(Vnki&e`9jx>R_N|8WTAwn4*R;_WX21M=JXi}P#JWfKeq7-MdFe@R
zlMMx)T>I*r`2J
z@9j9SG)6vnG*K+RN4OP9>CrfE0TmGMeGr5FLbAB5$T6!5zD@*QL#Jhw5R?tNG0cyd
z{9tvt%q-Q0Rg)UVU-?y9&$0W(+*5L_w)Ot^oLa|M@6-1CI%)SAwVl)F;cBpvhSZ#BlziTeugE2=tqwmp`Qhtac
zZInSOi;t}i}=sh@9Vem4vGJK#g(fQ*l76{4Z{e>%p`w~>5m5lO@6I~
z(%V_xO2{Eiyz=Q2ERXxX%B<6jVH}-5iq}r5HjlDlqtR1OXNG+ard2^yj+fcW4WY|Dcn9Mu
zomF!FcKqz|s$>{<8YPqv<}8UhIO~%`hQ8e>GJ7;9P2X79GBtB6T^b^2sXY=+3jNrWY&_uJ
zyB$V7ML%u+zuOahSNSt=y^i@z^YiD_OVd|T5zMo=4A&c!oz{Bjqxt-QD7E2(`?AGkY6U^edE~tvh@wVvfoEam?@VK?Be4vwXFj!reM0eL@-J$B>lK
zm#oJ(8CB^d=5Ku^hz$Y9IKz$A+A}fthsj~BNM|Z%aX#Yn=l0om1Se-Y#zs|ScneOy
zrmGAb7&ZOC@{kgAS$mN(CaccW9e;rWb9C-_!?*V;U`j{7IwKDbbq>ZU%5A05N#dS}
zw$1VCO+EIc`o}5YH@s71CDajlTpPMM_leorpl$y~sB+1qIgbRGs`_KFUYA!I=tL-!
z3HT;6L1>$Mn7Jv~aZrl%?1JeXLyxX~D|KRpUb-{h%Xd~6w&o^>){Q$#2a_*&Poz+#
z-CwiKP1BfAGOib515w)EZ*^0
z(9vug;StsU8OF%loH3f&x5~N@78@N1%$>D!r5&W{?*gm8XteEP6w1SQ_C37pAiai`+ZPN#H?KE&S|yqLi9R;2f;PL)t$aaT2CCtFida&P5AiH^}K={7`$gR^nQ=Q
zFS$xW^G$2oSkE0ebvqSZK*EJ3(~*e`GW-0O-}{gwR(&+RS8q@2cJ-woTE_p`|aw_-(7@f%quA+Yz8#cG-_|C
z%;+3_HB3+(OU=8>2?vc-qviV`KR!mk`MaPOytLAt7oXs@6Nc+#mSepSeA&Bc5uAo@
z<;_s~M3cV70XeKUj30C|;*P$P|3ORm*b!*PR_b=J6OD`sYRrmIEiFuO2-UWyYNafm
z1#W_hMBzZgQgJ?pqSut$$hcna%gZm6^^FppVY@t7ybz4I47%898xII!pfdWx0#dmU(MhMBy&DMxv;N3GU12x1?3U
zSo~y8cIJhYPx4&~LYZR-ZAE~)5YyQ)xEMfRCnH-C9dAnPrr9fr-*{Vm3nVZ^{T+tE
zZb;)FI&Fclbu9RV!eP(tP>#6e#rpnk#M*M?Htm=r0x;?4BrP>Z1+{hqocWN3*eJhu
z(~d^(!6T>VOFWb9YFj@`0Nif(-sIWKg>{Xz7o8Bc|L*Yh1*0GqnWVadcYz9!KTsNp
zDZFNbpb^$9YWyYT`stu=Mr*`yRG48b3#}-rvy%utVT@a2c5u}*^}PE?#?2^jgJi&E
zw4`Z4irlA^S03Q@qo6JtM3@K#MKFKC%556^_@qJwk{+71W70?rT|coo%DJ>7YiN`o
zcxGQ~jE!FEcKE;jF827cju`BII$AIxPsCYRB_?Nxq9h$Te5JIQekIGU1<&80G5%6ru#
zRNfbZc5~EF0QdhaPm5J`boAIIK5*`~BEnELUQML@)O2zS_~1;h;ISJ?WMG>XqJ(7W
zqN-M+b818ITd(OLg!z&y52zpW2=mj@sdQ2L3suvHkCW$;5n=_nBh7vca6*RW1gF@R)H=FRi}hT%Qf|b29Cb1(UWrj^m=>U`nUz7
zpxyEqwDKFAkMDMTw~lulB66|T%zu;JPqoGV<|wHC%s#tX7HNa1(n{EmSON&~U?I7_
z_M7RJOM9|skacPH&L3>_ZX^Lm*z_!w88}6wOZZxlHiGHWv(4O;(?!)R=Y+cxu2we|
zpoX69qb)yboeI6*HYZ$hKa<_fs~k%qvELJC1oDFJ)%|Niq$@3DR!qxhN2O=nH0Cf)
z!*~RNLaGvOI-X*)u%;F;6?XQ-K82RLZBkw)gw`%M221dNt~pG_g%J*N;NW25k=|QR
zB8EK0JZ_qA$ePB{tiQUr&`{UoVjdopFUfs-y7gkFrc**+=EQ+6(i!E;+Y8S*nh~|8
zk$|V!rid2=xH;ExV>+isv~2{F6Yy&61aq%&Ca{$mqh=7apQ&XSS@mWt2sf3{HEpn^
z)8U%DU!Bem@@vJ3_qhZ2O9Eo-KCBZPGajrAI|ztlneGjlzOXLPOB?@cq^(vvF<-j1
zfTu{$ccg?mpS9Zcr;#w@GA{UVhqb#}9|j?nPJ166m|oA>euBmyr>X1*w1DXg&j|r?klPw3Zvc@zleG0x2Z4wMN$aeQ0n=XcDY^U7ym=ro5#A}
zk!R$R4)ghA2;-*br(vkuwr7sc%?xsgA}BEzYEZ1c_L*r7dVsWnvaZKJF7u|ySZm>6
zCRl=F^d)BL**dTLJ{Qt&h6rJx(ii(Z1fMbsJ*^$^-jz#j&F1eCh=>K8pg4vze=nrP*CoM->U
zYM~pY^8&axkmY3PLD`^}F;J`2A2v^%Mfp+koj&HK;LtCx?ulBZMx}e&=W1V_R=yPv
z!mIFYzSN)=R=&Hw5EMd?;x<(ucGwKE!ytcW77#)&Q$zxhP={Fc1(oXpAiMXqCRWhnqEXIMDsMtbKGyZbmKpKpo4My)#Oc>^uBJ
z(Kob<)^6sQ4bH40(L>~dgj`ah(!*iMtty52{v8G
zMD6dY{oHUE4oIxb*0~F+_aCCLMvv%pXN`#;2+q<
zUNftq(8pBsc>SXKr=>+y1$`{?tA(Pzz27(*P1A-P2s>to3$JsTaA>iUU2m2k*l})q
zbT6w99e~efFcZEte|#8%>KqKu*URz>4h2rdPTY8mn72z1coGZ7^mxrlPnRcGCskVY
z3TbZL1706?8X>E?@OaO?_uuS_8a?^^8|CF^71TtjTT&xp&WXbwnP_T$(BThIg|f|c
zSM4HgsIu&?gd&uZ#NvDFYhneF8C}yw8BH|9i4fa0*}Rb3C1gAJ5?7=Ij(dlGuK|NH
zN8l%nZg)Mqx+v{d+hn`WD2YTc+~M;cUj#Ka$S)H_SEY&@taqkw$=0dZ@aHU_(^2*E
z8{E12XW^j7+z$_iQL!6pjcW=SO%eZTw&dI~>uhBaT$l+C_TtsfxP!`lM>$tg(r9}X
zE#+~oZRM_DerK&{wIi`0;1)m@k0>)}m?PIIpoB6JOtCo(E+cP5rgAuq!2b<8p?a#m
zm#NwLNFbU;|BB&`kS-VdtbI%EA4y&^1_K59Z!YjiPri1rQCBFxqx{RdaMg}iMww2T
z{qwLC>C<(gs|n*rcxlfnTwwy%f2QBRiTGF09!g#=ww}+RR@Wyp8ndyit8ThCOfT@#
zhZX7d`rh5pud{UH4)vcnnO@%ZcAxU0Z^R6763or+(gNb!@p%=a+<`k}VPzr*D;{=>9
zGlMaq&&Z9ex4ra?AA-Ec$alcUIUPSzOQk-BSnu!h4UxCvn@s(~_dRAHTbVh+w~C@x
zoIZ_x4k|=b!C$?~juYwKi(U~^I&)E7znSq>XTw2=#^T2at4>H{_w060NSvtyf5&}$
z1zk1Tdw>8*db*oUdcDyP94_RIWt<4DqY!d{(@Dtzn+~VOMq&}nL@I042=l1C7mwd%
zc=%r~;T+K$nmWF)W}CI=u6kcfaa1I4{9z(kBDN@JQjCtVuye3y!k-GehC&Lw&qw%(
zg@1MD80SJeq%q{^-tqblOW)X+Zi)o5@`5B~iGgY4DR9s>`y+m4IFt3Rqy+Z|IoMYh
zerx+xD!5|oy|}|TE-{f|S0DHfQO{G(>>nj<^$kIO4&8^#dZHvIi1SUd)n6_Vf$pdg
z&n(*J3#=ZvHLxZ8arc?e!t!`6tEtL+6OPeZds_X_JT&mk>w^yC_PGU0785JdO?yBY
zit%;lGp!!*)An}S^ypB8@+@vor0Wc)bx-G67KcG0o)io3k$z;o^Zx(e3G&i6UD0%1
zU@mVJd><3WmyAJq;*7EyRb_0-ZH{ytVsk%wKYp(HOn=JEnp)(J=c|pgX5QN{4Aa&G
zNk=;<8rjdL*k}aaJ5UxhjrnB0?lCXn>k>>bpOT{WJbVB4?tr;4DLjftl=ee_m&W0M
z#R*d3gITl2&#UwdM^4y+U{%V>)y|DSiUMs;wJ7u+8Grcfu2nyXwz}|^sQ$uVeDBq_
zdUQvYL?UHPF0T`z)D~KMiN@;zGmk>tc*iN
zw?h4<@pt3k%nF45;A?NeEDD4;WNxMFMHQLKv)2I?B{yy*?eW%Llo>ukMKyKTzWKTz
z9(rz3B6EfzkNf|GN`KW=%jo0jx5V8bM_5i5Oa5GpcBZEdqfuGg8VVy{>P>0`a2+W@
zBB36%Svw%~oXSX4dV
z?bX0He6i9uot5b(^4rUMJdA90{3Skk^P_x`l;Rt<&D0JH#@7`U938-T%M%zvt|t-w
zdX1=R`3J$!Ia@#l4}Q+7>W3HU8nY1KC~)_nmejIOu9cr;7uOMY(A%NulivlWV1?Kcc4}(H%K?IB-N+aPr-}%FH`aVru~vQo{0%
z^kZ|)j>*bQ-_-xp0+0k2$0~i?%TyVx)QUi^g*6i&(t%eVqT39jreQw#0BJt+Y@RrI
zl8yrqBCERoA^BwZkv;i_C0QGRMSast+Z=D^U!CH?zwDEPB<27Hrd4g@7-NRDeI5&y
zlh|#UFOcTp80^8>788-9bLB!q;I&jjSJKgFX
zQ}`ZGB&4KtMEe|P!n=O%=x!{tlBB)kmR!yx9Fm%z|4EQndbYtv!rZo-kvA%u@~uFBykgK0XqocY=X9}YSwL?4jU
zV*^KP{*Mo{qNE0EEop7K-3Set8z(|C=~Ovj;7$qa|GcWn)C1ugqk|Mwb-l^^i-z~~
zG5Eu{d0nalTYqs^yrX(5{VY-Y@t+UNKdwyPxI!u)Aj6SPLwr=i9J1O6@$}&(X5=5ali;3T{q}Zw0xHn`TdH0GzjJb)vO6p!CZ=B5#da8KnmVp`~<}ukmI$
zHEYraH+xhK%0+E-^eM)Vukyn;XHtZXABovtd@1YIqRphdaFlihHUnl~k_eVsvQ
zYIj?b!l{jd&G22^-N7B1k&+6-1jCmp!8DxPFBj*WM{cbblmO`z_6r1Pg|V%LV_yD`
zV-d$8ez|h|WFr>&)A%zXO{-7yP&D4l1F4zV11S^`Vkw)Pb}H_Y&X7Z@Q6XN$Mr^Js
zAO)s6!YTNG=wNq3-&aC%13u=UkRoJLRk8mg8XV?0V-6aD!E-kIi>hM&UR3r6LMAWP
z_qnZjwqDmx`!r&cQ8q2eZIF{h9)Yp~j{&W+9BNh4^llLex)7;TOkhgBn?(@R&R`>{
zhYm>YYr@Ln(bomJKj^V7G_Ev>e`gDByuP62HjlD~
zBB}yPaTILIHg^B1T_=;kBs}ZDNCH!2^|h0HB#m6In@<2f8P%DDju+|`IZnFfIK$#l
z({jgWmQwnTqBQ5F#YZH%q?#5&C@82zlZD)NogPrGUNt)7Ajbl$_%E~iHQPIHy8}ZycrpyhzRi=%
zAcK-BW#cLvWsXOQtGfoObhbW63eeDvRN=p>MGkXug6YqPoY90rWu8pb;j73IJ9j-p
z8{w0C@czBSeNbR${Brp(3nMHlc#aRlSo=Zjzz48YxclDxN%JeexFZ_?xXov+HHlc=
zhHcV>x?=kRR=}H6zCI2u+jmG(bMIPg>?*9P^Pwhj9t4ahB`*A1D2c{`hc%>Uo6F8UpY%ri4%;
zF6P9Ex&J=W_3k4Jy%+!*fQOI2XlHz-mu;>k{|kI1Ktd#WO75wGtdWU8wDhd7r{A#U8Bc4ao{O`7V+l?3OpY{4~Y~h%g!%`UnV1#D$h;{KN>J&rdZRDk6cx^2NKKrO3
zqt!3g)8Rs24G1z}x7GVpOr|B!9}Ezm5wcAVw8sE;9BSDv;HLMx5Oxld$VSGD-2TI!
zJoiWb5#y)H8)U8@8$F9j^hWv^Pnolgtm&~Y#N?4*Ju^WM_bY>jfWwSlC}=pL-ZUb$
zp-qAqqXfu|%Xk!;8IPZ*IC!^TCp}QAPGnmE$khvi-HZMr^^-GHELnQJ-$u_fb)ljX
zI{s#yn1V+SpK&%+oGx}31!-8BYHFg5*cFI}&7oCkhj^Vgx9G(0N0BJUui-yl+NrfSDY`&AP!qd#Z{Y2Qp8-(2%o
zL5-$fYl}ls=lDoxn+ValEeI<8?l{yvBkm@aj*X=DY6o^NL?TSd0zcUi_+{vQxp;>J
zq8O)bG58>6xRmO2W>-4yxO+v7!*9gejr=z#HgjjKm=2C4bXIFHoK-#0o
zlkv^5gSuFkz=jGQnH?3FiAcZL=xd&Wmgx#MbX1a;c5SW361#ugfifVTzI;M({o=IP6!sp_(|JBrDL3EvDNKza7X
zI@}aj*D9=*kH=67B_e&kSQPtEd(wWs$7xpKeV_!yWN&2w6M6C0S9eUIAD2l=UK~tY
z?>4>!}h1>sb8H*DJ+<;J1Ye6Od57V{g{>V-XbvSugD0VJeh|3_uDrKF$U0%2;UUMYg~|D^
zG1J~bL!s6SGyu(-4zAwA@1GYidGvtaBq~3*X}PVQ=DFNP=mr@XV3qs9^(3_^d&?5NGhtjKoE6+qQS=sS+LQjLPn^R|0W5;N
zgh(}5ccV~P@CyNPyuYd)z?YcuNL#ZGCrWTN|AYbpv~)iz7?gg$Yi^uPqHF+uWP{^+
z92PbtPb&#kWMdF0E2cZN;8gdO2=L^SF;Jz~L@}2M1o6VT@T8~C78|&imQh^%cE_zQ
zc~??^z)14xBBU#S06b_l%Co@dR8#ra;GA|bju_Z7Jqcv(PaVZ&GW7>7Hx*Y+bnIzv
zthv6!gjABM!z;-XJYfM_c0|V8$R9YyS~oi<2N)>3ZLQ
zw!Z`LR;ceXFFsl5Myg9tAc5=^@p{X@KXo)!o@s%IAwC-|C3A8tQkelz#Hb~r#}kDh
zQaUagB9mXPW^zyLH%5;1`TA@N{oR1E&gcV-T8QHlILwlX#AMT2%(;LZ!dBNZC`OJW
zY?*Y#q={nH+;mLgao>0*e~k5^q8Ac2tf6StGOl11z>_eMcJ=Ud4z$-MrLWG9gD)-^37n8s_x_NzRjzb<9R^Vh@+K?xuJw7+3
z|8!9)h9_df&*bICckbk19P{31Aec;DvD3~fBxyf^}ZWx>lQWQ{#
z^4>d+6i3hSyW6Ik4jg*8Z`GP%D82KuXS-RsIS@8%7TX+D0Gr5Ep-CxPZIIrhw9%ie
z8nFFkkGH1;C-4mK(i5#{M#HSQ5F$o<+|$(+iB{2UPm3u0XBb+#U%cQ({%5_aVq7h9Q(WMS&#lZGM*NSrEkq
z(us%*^&PQh%Tn^*_C)Di7hd4#DG~#>S7}sJy?wv1SQ9s~x9aJr^>E?Bjw6Wg>ORL;Smn~AgwVKMjqR+p4b>Ip
zH2;m{P_iMROiIRyLY|_ue^i|>L73b!=YtSS3G|uGMNLBGMy+a4IH}Elwh64dKJh`k
zaLTL8`D!9!*!;u2)Mb7-k_bPHfj@-=qFaBQbsN>_wIF}wbcwY_rMzR5&yq%dc+*JV
zQ)-*BQ~cp~%k06fehVb+?c=pKVBzMlCaV29-Zc&3>SH5eGCX0Jr8!=~U@(7>2sCk`
z3DxGqkZq)=C@|KDp=3YJ{^dY_c*V!!970d>JYf+ix#;ifyINz=t5>Ub!gCG$5eTciX@8-F+M1>i)8uS)X8NvAfLj(Gfj
z{P(+cJuwdNX(+TX^i+aiwI&Dvv4lyt=1O1*DGMPX&FLg3_kr`UipZtBkwJOPBQy=C
ziFJIe-ZUq*{0VaO@Md*!2nr5u?ySReL!x<$DVM4*5hx6>MN9{k2Sx64*N?AZDfR4D
z2VU|I-lyq!aW?Ff)D3jzh5?9KD^|Uujg^YdabE3BQCiE?fEzg@J-%1h54M(i()0s$
zSn2mBj15b4fO((pUYqhFg8|*$Q7uL1q_dN1>(5aJI*PxB_lSU4fZHS@pX~vE8bKa7
zZ$R~->uri%vo>OzMw`mXiT>~-Mm1ESjp^ME&qXSm$?A$+&n9C!Ht=w5^A$k^UQnRJ
zQGaI9ni@tZOpK+~La9B%o1^``Um=ibRbT
z-9uLPNxZ}Ei&=%YCl3Wd4rRKdf|}P^3jrx{C{H?=W_u4GApE4x-a@!oWXcXK{3ujw
z(B1}O`eaqeqjWMdKst~*@qu3i`Vc~PAW+!TOaHcmR=VjCp$;&LCxbmRSCL>=Nc6zwm2XI(OFk^n6_kkUr@G$8Z%
zi5cC<#6Jn{`^D+{z4W4LD}}GL))|crfqN^x|)mA*vi0K>HP<7pW8Tz
zZdI8r8}_vL*L+rv9~;soDS`rKJ;)UDZQvT40C%s@(cugB`+-IqFG{JBpRv-wSPxUk
z^B+2+F%c)+SfYAlVFARRwPkjTd($e3BZge3E6JP+j)Q_N0YR5jqrimYRxX*=F~A#lK$Sx$h8{XXKD9sGw216mzK
zK~VUuo-DBfKprboibeqJxT(MKv=32U#(w?!Pih$NNyYRquaz%<>x!?j<6nz)3PrYZgMf6`*6n&YElg8ZQ+x+`8pYxCqQs+5Xuc>~qV$2_53KeM7^Bn}sDAJOptXc%t7PsQwOzkrOS@&K!pqodFHWrmW
zoc3?%F`em7-IB#sysS_J_o&~WR_W)k;3-!rTjcc%a9Bo~GYzLTMtY+Di8PBU%!{gT
zZvW~^P)I8MD;A1TT*IC8bdB(ZV|kX`D>F+DHNygj2kf~EoMI!>Oi1iqz#hRbO)9E^mwvwj(jFNy$||xwfhMYC)htKRew)hJHVT>bd?AR`JNzp
zh~D=Rz5$Mu`Yq)*;M4O6Pl)cp`g7iw1Qtl-J$L)lU5E{w&Bkhe2Yq{L1n-4`x8Z<1
z4+o`Z10)@($QV55{VkA_1K7_^{Rd_|GtQ2CFWXqgh$(MsKIKtRr3ib?*|p84Gvq(q
z=MLJqW|nQq1zM*qnoSi{X;#VQHpqMjmO7JP1~$-!B`4tl47YiEs@`SYGHV%fBJ1%w
zQ1F*=0n$@30#8-BK?zyO)X|La$$)JbR}x4f>yl`Zf?IEuPpfQOb&7>v!Le`^h8x}|
zUa65&6SGnA?@qVaW|M<7=AzJtKR)Y_?y;Nfqorc~!D$AhiSsL^kKXbJX@T|lMLEXn
z-YdJay(y_QB!)NVz=duhGo$r{&is-hQVaFpO&%6*4iKt=@YZJQ_>r^)ARxtv%K3N7
zse@>856Y&vf$3Gs{+GCrmtKQq6O}LqS^0ClxnTul6`?D;$cozU(|8ihkD|F-!FSSn
zsfA)_9I9FKGzDGYtS)%c0g<7GeuoCU;ijeT?Z{1aXcjjb8VO6?nwbFTS{Zm~l2>Rc
zl{72NNNMftH(G*6)4f~UtsNOfHo&@ux5u*?ic)0ku;xEZ@G6dCwkBCpNV|j+Bo;cx
zk8-egN*K2E_C&_TN_xER_{{{=n2x`hGA#dB028es3t%By4wy&gG!FZjZi|?<-s12|
z$-W{z(HJpXoaBlTwR6|pEXSC>O_gQOd}iBpR$D!Bx=*J(FE!Hv3n-dISD1<)vON$=
z)6oRbcpIg^Zp`E!nW5j?@dQ<1nK{_}S
z@Gvw!?J_&KluG#4lO9=6`EbM3&!w7C=X@w%P4n
zP=2&v5T2v1Y7C=ZSW#2Pke$5q>
z8(oTCC>+Y8?%gB3+(xLF(4>Zo&ihaRZ_eg9kn;=#1DdAH!=w`JnuCZQ(xK2sZYL#u
z5QCDA3)n|ypEHWvLt1i~a0znco~I+@gR24Oq7l}j5uSQ&m)t=qN?{q*!{q44DOZd<
z(piK<+RLi$h^cy`n4=F!l;c6M6KeSK&Y36xPcy_@anh~r{?mxHe>M;Wmsm$?`gJFZpJdzS!`j7
zT|om9&MgW>`dD^t$jb7M0im>yT%g3Mr)+&{BI!yx`LqDLG-!=4IXWK5Iw8CA3=JF%
zW~xB0*ULxNkCN$-6|DwaGDRJ$uE6)_o*%A@jI`z;`7XJk08d5jAas~{iZm2YbD$Vc
z3PVx5M~p=wl*1#O5M{daEm8j`h`sH~pjIyWxtfGh*}7CM$xCg%+JTYb;Vk&slcD`u
z5vhN9d&;H5^;-dmGYP{a0m3-Hg7wRO%^75@rcno6e(;>(9daO`_6dHzCWQhxnD^B$
zfzlVLyaZ=`Yza5=+ZPly45`Ar7S@XCDF_I?X+MjM$M4~<0&Xt=Bi-n#l+6!hf%$vq
zFC1)&gg#kj8RJH?rrJpa=*ba3<`INE8N|WKf0#5e%TWhwT!5K9+UG7RP9RpgT&(e`
zpSlVqK6#oBF^{GIDu;BpZeu}XWgv<7X$dOp?DGUstkU()Wmf5ezV?TxDAtx_i?ggR
z*HmHF49^`H@B>JtP1YT815q&mc9C{4vrDWj_3#NqL?Rt0
z!aD;}G>OPkK|-4301M$es3iu0d=N)?H)~+3#C+)wBMv4$+nb}LFe7!o%Y;weV&o7D
zqlF*AGZ`7*3pTJyU;ZL$
zrA3|(4d^g|;sQPKCzrt($%9Qgw1PKl_TO@UNYcH;?7z3*1Qu9<5qnHqTZ=7k{IYpN
zMo>E*c@IQYtw_^C*Ker7WkOQG()lMEwsb
zZ(UHrK9?Bl@S$&uZKzGY6`vo3D3n+%2>pyD1yxWD#dwK>GKW*MaCrleGlD|`u+_0u
zwL1+h20$|yr%CZ(di7ox{7olCPK(GU?K*L8z&j{Q7{M|^T_P_*sU|-0Iy_J-|xX0oC_D(N7
zgM0T)fKA`&pfGMnHs$s9^;tHlEGaWLp>2YLo#{5+H7EvP%W`x&K#zJ>-#c5nBv9rC
zp_IU~1Ogr2{CO}yid0q|CW91sn26+Yi9lVDBq$XZO->3&}c=w;sW$W0z_q+o{KLAIwzKuHLl1NPnfcu4*nJghgswyG|B>oYdU
zfCAP0T3<}HMlS~2x66OcR{H!BWHJE61Cbxj5aHa?GC1cpKH`{>0L`RxC)5Tgr4&FZ
zGjJ)**?ZOT31Mn9y$!Q4`>(W{mSpC1?)+7vvL|SO66Ts1q-J6dqH{@eO4sH;lbYne
ze*MUiIYC6Pt9?z0@Pc3D4&r7-R?OMD7tl5c);Z`vu3ZIP2DKAnll8}11rz$}EQ(9%+UMq839e8iwaO%
z$_2T4$inwV5g)YeNb)%O{gi}xo+3uF0Rkrf-NS1Xfe)?Z11HY0{mH5h0r0(oD^CN_xw*Be;x
z455tp=E*l05ko74GCT#8A17Fsojqxh+0fp8J?xU~8K%fG&OaLs55c?I!%b4-}?f-~Mbvnf_
zXki(kD9eZh+?b`hp_F3_W3dS08oEGg|WF1k~G@l_R`%yhrtF<*g=e!R9?+MIpb
zTjwa0ZVvy?KwRP6HPf5=w89Lb5*)i6s(oZCksA^-o=G|{iM%l@*(mL^3qtLRYZ?nhwvS?s3m=KWAgO6
z)~x~rHXTHLP-pPgW3=gd8qi#-9X2OmAM>v1ing~M*t#hIVc+;}0CZb-Ux>rO&|&Cv6p1xFCsb7hZr
zKWj{W+!4PcDcABCme^%JXq2+l>{tB4w3KBs2b8?V}`U6Upy
zSo7sXMh|N{BppQUXbBNm2hnL~c+p6AL2LVz8y|Pi^}%L?478%z1=OVd&W=b-`6g?|
zpix7$z}YtE+JHg(gw|J!m#iMJrdS{alA}|uc6uSMBmZQfPD{BHP}By$)iPZ4xBP~7
z{?U3gkOeW@v7mRBhMB;tf3&_eMfD&;UP7*u!x{t_tc$wDTDo|qW
zUTmkodP28+=*vxC2)~B{RDpmztaO;`*8eq{$NtD|L~x~|s{sx)7e^1vX{*0HjoWjA
zevEEbXFr?vmMHvBj*W_Rf@&OVxAtok$;0Aj5gbrH#S8nafY!8{%daA>
zwnr;Kr*ozUKP^7_5^3;1Lcf96NFz5l-Nta){49GuO?so
zHI4*txXcUgJDv8xpM_ynZ}!Id5Ej^DUmrAtGkAQo2IK(y+2n?H;R8Co
z`-;G0wX}cj*)f^VqCPei?|O0h^=YsGuE{?J%&!CEB04s5EPDISumINMCf{RTLt=u6D!t6f7=3s-R!CL*1))Vuk8wg89fp6g3mCGT*A?!8BH
zA4oRo1xJz4x+%_^@fe9wovTBK77jWa4L_etPVJ-TG1{8E*J+V}2-Ha}a>e%p
zTy4MKJcgvOI2P}ba`lP>Afk}24;0#^?l~x5BUn}!_SHn|MUsbmK%F?VHT|B#lNgX8
zf2$_1vyr=5=`7ZTyqB2{w|lU2Vet&{(sHP^X!GCWe4p`w21d}70@S%ck)G6+YB&CB
zsH{ALb+7xB`Z=E`t`>kOMSZIRJ_p-B!Ndb{vL{!r0EsnUD~U^sC;bqgS@|k!=;BK7
zfQ8lfmGq8EX@0%}tK`nN=z@Xq&jCqiAE+_`k-0ldoK28NdGo=^!Tgu~tkCsqW)c(N
zAb`sLzB00VU^;O;RuRZx|2eyUhyh_{fJ_Fw<;8WTcTjKbe%ewdWJF^KUbCmb|T&zyex6~zzk2UF_^LQ}HK`%B3F
zmxlK*jV_`ZSi`@e%ltT2b4}S5N9xY?&A9AD9V#pe5s7ht=uPPu0;K5JtLfv@E0=X?
z7J!2PY9s}m=yC}e8L1;bQ1|_wTY~3$4EKzhv6>_6`7zRh2P0#cIetR`<+ht|67uYo
z)!aM0;qgn1pIAG+%lE!BD}JvNfa8MX$r}b(<`oCaFi{#F0Y8A^1K8k)D4O1Db@RP(
zHL=8-a?k)9vT9ZnFU9=a!v{!U7t^Ac(Le)2ZGRRA$~VV9)fi1*K?lzpBb!P*A^#0Z
zU?`^l7;^Gj*%P83>l6W1RlpJ7ak^{5Wy)tGZC;>>|9$K!mkY}%;o6S*Y_I=%B+Q+!
zmj=O-j-=oZcN!&1)W!ZZVDn(JY_37SMHMcbAyda8?YpuBNIFG&X1afVPcbg6%J2^z
zAm=*@!#$Hat=i|{um!r5Q%Bm}4*U32iCs`^fuoEQ{K7h_ymFBfo7vXt`p28oN{!mC
z{)VA~q_^UZ)CkVcHdWE$ng%%UW|gPt^dTS{N}_^r5m`@hPlo3*IOA{j&s?q=hr$HW
zBtK$)y3%0+iw5HOTlkh$xgQP;JeB<5s`>UR=2eC+=hD@}txwnT+Un{)nD#@+({#=V
z{{7wgzUi}*QH}F|4<)d*c5bA*7q0sj{(|W;k05`6x`s;p_F|y=nWKjXmG3^LZ_I{)
zjh#7A3ar+|ZG9?uI)AgKVGU)9eo}L|hZ|DYTZU5F5NQ(#h!Poz$a?q_F1^CP0Fecq
z#HFNeK>f0AelI&pXgrIo(4}4G;H^_zxPD&KiWRP)g~#@~xebTTY*F93$lNNn13Go1
zSizXd?z1n+Nn17WAHX&+h)~nGUMht)UxRVvq*-)~%QZ(0f$sAkF?|8GKYrYv`s^d|
zL)9Pcj|ZN8LJlM1?HltYi_E|p5WnJ__t@gvp02_L<4M-QY3nU5^A0f8}Y2tLp&0x
zi&P;xa{7>)+S8=>4CrWnIGKQsgRD3vXO*_|ujswBM~5X&#)^=v2r@?gFJSkuvYD9E
z18g~f>_IuHALgQ4=Kj=^CEERIfXZ-}&>kM`JJc}W@g$I@tTQ@WM%#u(afMHi%;}9X
z|5cU8$~OP4E9FY6OENt?AcL?K>AwX!{fr%X^>0zP`pUoLC8)tfs`a7FCm#=)eZV97
zNF*+YqD3CmmzKgxd~dcCzMwVV%rr;x_#A}uz97*lHuxpnbby~M?oG9TIITW7De-OG
zc>kR6Z}jbXwCQ)&A6|!wG!i~E$mvP@$Pq`Bback9qEcArP0_w!tWulP&A3z1)=gGX
zAXu?S*+^Mewz0j-Gl1%X##;AhtjW=!XEKH_jhqyOV>hq-ki>XuE-NUIOn~amVI~g<
zs6hLGG+o7CRauY-F?6dDk=A3|?p?4g*l;aqzwU@qCFi}U5V@68V&p2DjC8$?{Vn&EW#pp6z8nW+4Hh-MK|ivn
zCo7w5{wC(>ID!u++q}1FT2i-h_e%9A!zR!?Xw<}SoW8%qrd=|z7~-JGvA1)ZzMpLA
zcRv?d)1B+*rJGhMQX9H^x~-@k|0-Gf39i*yK-
z;;rJFsNpz}NbZ70^-ghhm~EBMRJoh&@iYeZ%T1D9$Q9qzF#i%KM#m5y#{KpyLCO
zYlhLzJOKcZn};`crG~vd$=R6joC>I##8}xLW2m%`*8#JJs{zN#mF86+TZ_{-K!lKl
z1STaF)Gx^)6N1ed@nS&I&>|o(G+Qeu2u%0Jh!dNe1K8D`)c6zyAcJV5ZsG4CSK4fw
zR=5Kx4*EAG7NFQO{qTV@Gc%KtmKHhIA}A9wJ3tk*O5
zlPdzqTy*ONw!P{S;9Py}G3f!DSh}JoQFOMAJw(~QMov?!u>l|*6+?5zmU~ccTEY1*116i^G4ZM1Xdgvy%f3AkyT%
z{lMVdGqsQEwj0L>ip|U0srobeKbx0`+Y;xkt68@(aAGD_k6
zdATcl(UiE*ybp@ZWPGvT__Qu7ny8d<&Co-#m6|BcwK!GSo4uO-8R_XAYp_DL%1cWp
z5~pfUZr=O&3N#+~9=88RzD^&>H+!g1yp{hd
zukuF2Q&mV%kZk=X*kK(t&G>qW!ehIv>v#g3l(3FzUw$x!EXS+qvU98V@qm3z-%7l3
z@zrj8ok<*M7fvoxKu4r`X+~spc~L>M%KEw)~quR%5gdPxGO1R;&e9{XueB7
zdhHnWDAI^>h{INDyyAAnjq5Tlf
zmjx56Mymfu*muWs-9~?ZzDh|%gF;3jdyle76w2OPl1*6|;afz}va?6_&fY{Nd+(KG
zXJl{B`RKmy-}8I^dHiwTuWz4qUFSO2neXeIIfOB+Y1ZFhFJWVGB*T4o!=N&929rk0pUnSi2s$cKMdUssd2fk>)PEML5~VIy
z?b?jkw~6e)(Z)q{F)rP?V>HJtXZuEdZp(Gn<_kz&AB^z0QJEf+5yisvq#`lN3-?|X
z{lKGvM?xm*bwuwJK9X@o_()HLeNk&DWeW>eh`!jf6*+ivXnn7hv@w>|{1>5;i2+kl
z)}uU?soD1lqu&=(f9g=OQGRFf%uBQz4I$wp8F|1|$fE5&?DO7;f?Pn1nXGfKi|QDS
zq@S(5YC|daZwn#A`?qg7)Xbm}S{0LM@~tb8aHD_*gJ(r|-bfm!N^i5Ix%E?13$^)BGA=0dsrq4kuI$j+`+ZyKYtfdN_pa7s+4Q2<;cw&9G6Ex9
z7)Kl$+}yr&cZW12TkCGTO#4%rb<%+-W0;FNK2paT^V-%@*FAsPs>+&A=eh+;T~e#b
z1`)JsOxKF*nmMdIOwP*Asf#*A}ycHf_Tr7CrIzR72ZNhLCyOlikZKfLa1
zSDjC^lFF-vw}I2QeD9NO>N8G1Js@~UaY#@WGS?=TGYLH!FqfY0+KLfxup{nWsg>z!
zsa>bDaH2yDB%OV@5oS{Vo!X04ag;(%Gb2kL#X0kXPU~0FS}+!gx*q#2dLQFei>$Bf
zLWw?<1Y+*5$KNG}Ww4ooFdjv{oHj
z<#3?LB4yMhOfR{7u`FYD^7QG`)=j$=+yr%fo4OPh!^||=+lA{sBsJRhEXq@g5(63r
zkrKwT$=0dL4hn6FTvn2w*ove%UN(~H9ITQJ7#2r;Jns$iZ>5Xg`sr=um2GmX52J6D
z1~mL5+=a_6Vw4VU$@sTT^F0nPmS}9qr`2|D9nwwQB5Q4Lot{nkp14rTmRsabJEH2b
z{khQqL5`>NO81!Q%ZvHY_UVxQ|s$LwnmdCsDeFn)W
zD7qjxJ-oIuJ3Cuc++lU!E&o`M#`;O&9Bo{wmggTO_kR%IqJyT~U_W8SM~MSO6%@$pOe+niF#R_EQZH^ZL-A5t~&Rt~e3N4T@n*2(fl
zQ>qwC6IeUjS4=L*1d?3m^O)U<8aQ9jEpQeDpd0z{U`l{>D6_Y%)}5ZM)4=|H<%UU(r9W6pp*@W|d?QZTv}}PND0t)w-Y6_}w-s
zps(F5OO3n(r&m*8+G2+x>m+y1PuY~1?~Q(uDJSXbi=Z;$BuJ=v;_t7?)3+|auTVBm
zQ_kvKE;;vsgok8kZ^x)4%05IuRq^0Kn&1+{L*}xM-pIJtn^v0;Z~;
z{IPxuU3uoZ&xiZGvvv5GMOaO;Ijrt83ERDNf&eT}?k1vq~OX>7jPE(yoqL
z`xc$xNG_{7m7Xv%K4G;$48l31?!(){3>8?X?qrR1@$Ot-qWpofhQa=vMx?$IxTR<<
zPuXihWzbMuUC-u{&nQ>~vttJfV{18wJ2@FAxJ~o5_LqIdf>pEnPYqVN?-n@DtBdTf
zb-6BoK6$KqKdu{xHYYxy&%2_lvtC}3HpfVb!xW`Y|6Z4X=eR<2DMS8Xp3AQ_-MClo
zr^p_v&q}`V85)All^WN0H~phlx(-5R449teCH9jJsgSg9jrPwL#Wc%FMej(d+ms%-
zvG0=a%#-T1>}6^XOuUXDFK0~d@BL;wWvpXu?XvVT@3t&+bFeCtta`_y1Vhxv@!
zC%rJW*WOb*$>K=X`Aa7-CCttCTA@%ns9^)6q-gHKKh`pohaJlE^Kg0c6dC_#YQ*pn
zZ$_iJMp~C;)~F@#E_u7<{32^LDQf}#rP0HK&3W+atEilRV5~>V)S%|5*VTZR$tfx8
zXuVq~%{EwU8(U;G&>6H}j`9)IVpT`IJ)lqSRu*Sq1d*8KdNFl$L5fV19GecV6wBcV
z>u@}-RiSK$+Qy@a+;9G!_ocSO^Ac2g#M_}(y8B~#C&9+c%;}HPS&M%+%18J`k299?
zT&)X~=6F5#>s|S2>$VEp(=gzHVzn6p_v
zRC~9265KEU^>&}G`Of&==?sTbWl#(qZ(fB)f~NfB|5I??eo2fYKt>1ph9!^5n{Rx2
zjn9+u?yFO0_m`@zy!bJ&r&RKnll7$Jb298K_M9k|KeP8fvTC
zmQKg0h1?W!`rU3Sx*8rcau_4x=FloIJ@ezUmq__L3B}Wrd&h6CnGW{osL2t6AZQ
z#oj%x7LnPk$wm$qCF^bS0ZNgP1U06Th@sephJBgNJstspiQd`J8*ATwp5D$5Gi$rd
zZn1Z+c!7B8i<8c(0$Gg4d^+w^m|gOdy@?;LqDmbK)0xa;~W;5Mq}^~#-QQH?mdp8W*3Xh(w<$~;a*
z+V(Xrp3eK=O5>~@v%3xADw!ny@n}%J85{+rfEy@
z?m9~+Io$ndtE-O*5>x6NRuLeX4n2&zm16a#k|~+6IwV#7*YUmfulz$1C05(3kuIgF
zer-t;`w^bkQu;$x6_$)eSlHDCBbvJIc$9TJy)QN*LpO?wLIKek%>*adBk;Y-R-GrA%}>Ilr|-EKdi
z*B6tBaOeHlJU*JETr^opYdzgm6Z=zF%l@!ye>m0k{O(WL#n%O6iamz5f3~Np83Inp
zso2UjzRqk2b46y-_KT_U+%Dc6XQ(k>J1l$@GiZ_dJnRp?`1|DKWWmb0D|MW$XY34~
z*WAX6`wE6z(wX=8+c1X+>YWX4c{o({=t)9XQDH<#ykdTC>d?i9#aCN|12+m^mt8#F
zHdXjID694^I*??GTD7InH&2p=|8(Y=%(?09tEk9p;9+rsh15Hn>t?fcNHp^9kH(^V
zNh-yPO*l-4zpq~QgKYG9rMZgK*P|pEIO2>x0{!MBjRobIW7euHE?LU9YqrQfbi7*A
za_7wB7MD%wV#^ttqpN9R5RRVfW4L*`?H3M_CmoZRigMD7#X(qU%~07MvuPN^3H1uG
z_`BAHTn;%=S!PqF;Wc&Cb=|X{C-uJ;_4`@Nq$xXO@VG}E?BB&8>ame7+g+?*P6hSh
z|9KdOxkPYWT>QHQ$Ckdna5>wPbse1Hw!9y9MF~mAJ{P*PO{kv~omMzO&Awe|_iCY^
zRA=_0kinnkF87E)5m`p!;I9|)?c_ek{!VW7cd9sEK6{Cq@}?-VoDkIhFiUMX^H8ZU3S^Tj+GcJy`6EQpc`mQ#)yD{tX5H8ke;>O#Y
zIB9LltxWnigR?q?gV)OmkO~_3rmE*vZbpvL=vGmSl;Dl9gG)u@rTBHSAM(yureR;%
zdO9uGSybM2tgooF~#BLzncqYckg@}4Ssnwsk
zs6l;PRm)}|B!rV>=sr&r1+r6PE8ew8gb-ZCp`p38j%jxl3xD)&KSb?Y^=I{dzt6R?!1vMIe0f6JdQ}JE-z1Y;UdA`D
zoXZ%jo*Q6Np~#U>zhR*6QI;wD8OC#Aq+6JV^P>;HezfY;OURYp3pB)m#C1(tsQ|vtM
zg83WlQtDhL(v(a1wO9an#6gRbXT>M==g{ROBGUAXw?Ok?il61!JVo?!-|3xs1@arng$-Ajgf(&6$4dA=qb9$Z_wN_;Gz?q49s@eu9YV
zavBP_e#;~!eY~k#O=j|KNU(ses(CzXUsjPSebH@oHSG^dk`!Yx-D{HOA)(~H;;k>!
z(lX9L8{JU)HwMO*`W63T0nYVpMgC--W)5Tt=gK!Pj{urGJ-%zFHliO$!b4HyZuE%0
zNT{*m0n3vLN4y8p;nfhPz!rJ|i=D-^!?t|Oyj?OC)65@T9VB=?;nV4`>a@4kpGby&
zE?A&}ZyMcEuh@?Yg>C*~dZn>y#r5lZP-0?T9W%H}
z3dPSb%Y#1_)q6~xYP+F7a*REcSI#5@Iq}jAqr+Cnk}z{kPLAV3u#mp8fJVUVB|n>j
zj4j@+^`7j;7fG1(Oyk%{3Hk$H)qKKXFiP
zEtElP%!^r|j2h3O1a>@;=bR*az
zXevcaXn}NF+DJ80vN3xmpz#p0G<5_xr7FxnCrn6RSR}H(N%Vm}yK6d*wln(}_g-2W
z+7vsi?@Q8WUmbW2(vFWICcdg&qs|h=Y`M|VoPMQc)(dywlnMpALdB@`WI8$VKu=HU
zAX5zU?r2z%E|Xiy%r<|%uYW{8g()X5I+CiZAe^ARmE8*!ljx^3(3oTE6Qc>U;PwRl
zJzY|b4Ktb2k4aragS5$krniF!NvyT$f9*7RMl9a0gf)}x*tOSSg182A!80hxjLfj0
z+xxhKvh$PXPHU%d%gyI9sQTD)l$E!Kn1
zWd~Zb;hkkO%xR+JNGoaIH&(o%*4s==W?dmzn%=@(^flX~#TYp+^l|@@0gFxJBZ5+@
z4D8){ysDl0ki6UeK*hA+?C%AH0_Q^mg(?U?oq%_8?xA$t>d@MP3!eW#(fv^DG|kbGTAT`rpKWwl;=jgY9nh4s>5ZrXQ@Q8;mybi9M})%)DfM}
z@A>!CZ!#=W~{os^gRgcF)zD_uQR)7lp5z~v<2sr
zL~ki+gRs{iOkjs?2s?f%wm~Lc{g9P%xo9v<*L+rd$%jLS%hT63!}lE%ybxQ6^7<)^
zqH$|#8e28bPjga*6u;FRwdIm@_V}vyvINsV+ZEg#B&r|Su2ZfI-&wr%NNy!>t3lpTAr
z?0O9p`^;WCya$pq=Y6)Q47dUTjVMx1c-}DjBLjlY!3_+QUpnWZXD`Wg6Z5oQi)h5`
z96zCopLJF?j=J`mmWv5FcXJ=h%R#N8T1}!$q495Q6)YATqB?!?JN>9>h0HB}=9MHw
z-spyI7RWs15UXgv;qz>bsB-LEhFrsLaK24qy=%XjPBzhwmZS(``2QXFY$a)H?R
zCKw3Pdj?t;zVFsRI&h{Gtn#zimgLR%?$c;9T>R()Yy2XROeG9b<5=jxI{Vp;V
zBa5fDx)W{_c5;iem=?aNt@#CwkmniAO`}sAyr?QFa$Fzh<~C>I9;oK$KoFmfgCU~K
zoxv|(yje4L$c02iMwaw&u<^G}Um_0FK79$JxJfW%Ch)t2Q%Aq>W+=5sm?w0o8c7oq
zOV5cofjGRyr=dAsH+-NL#li9NMzYZRHe`?_;AzzDP;L^+!zHN}v7mVidM@ZONr{dSl?9&_
zGjXP5^TnFB^siP%o#v3@Vl`iT{^6Xd;EEf2>DE(y$SJwz8v`?w;m{y>R3PS_8<}AM
zOQ7m8=*jnv?9>unc7bZgpTqpb=J5nUm;Q?e-!mSiU*3BQvogWMA~epd$B4Y+hDdW$
z&MfvFt{!@De%D)Jv+o}ojtxmr8Nci_?8m#Bd+3)G(s}ZKl(FzP?z@c!JL}-pq+JoR_iZpf!0{%Ey{9?{i>u;`@s=
zk3d9We?YU;E0=soISqn>4R{`#-&JRg3M%=X@%i}mkXHOyY-?#}?Wzmg0W(K&!JhNk
zAuG$hz>?o*pVJ_9FAzNBIrPr+HoT;c$-jNifP@c~*Pm#k=BQjLgxZ@k<;i9t)gGWJP8u-33jw0g-y)0sVI;?PuPRuVU)lSIugTUL$)
ztapdshdSMzw)j1SdTD`AG}PW3TI+y~#*5l$dM(0H0XkEqxSUZa;V+>|JvI6}fyMee
zy02}IE{r^2@l0^H?CGcfBro_4XY#dB`N(n*A^*qpShGLp*#B}fq&3kVIx~91P4dEiYBe3W-t0%&P|_3%DBEy-$8QK
zl`zM><9c!U?=W1SjLLxEbY2drS`>?1Hm{4+%>Y8SL3sjmpz=>sZv(!d;einf4L?}G-
za)%LQ56osQ{`u0ppm8Wj@SN}^sq}1%DW}p@t;gA!;l4cJdZx9r6y$0%EpX7VoAe(1
zIgV8P%Tw%dKiDNFz@{b-_qX`{^MmrVlp2$|Y4Zmqp4@OD3G!-Q
z_Tt~n_9c&#yp3eeyG;a|sD=#|rOR30zQ(G6d8K1VFX?WcF;^6wb>P&=K~k3e{^l}4
zY)*T@D(2F)e|A7z+X)j8R-b#;>fY4Fy83hcf`x-H`F96`2CZ@ia~~$_65;qSTJ&s`
z%^933p*nUZ^mifZ0inH+kmWGl5c?hhwt+e+_&+{@kO}i+^;@*%wA{Z(g{el=54)Qx
zbmqX4|H)Vs%p(sr%}vN9H4e97ix(UiZjr9#I67=Kc=Y$Z+ck<_>YZcs00_
zrw%(xjdX)(y_cr3)y<
zSzC9WiBbfs)eyu^-0JN@v|#~v(>JeAg@<_&Vd>24BG21Nmy5k-DC!a{Acd_Nl0W+H
z?2CcC;X=1NV4I772dfrdK+0)4Y=HCY$*zRDcKQ~1t?r2E*7V?O^1-dvVCC|w8R~kg
zk7p)CPT+dQVQ4f7o}JjSQq-oba08Eh;?Z{?c>
zT?Sp(R3qP_9ys~Xc@?7~H17A9j#@ceoowC=^IlIqCDfue;EI1bQoSJo+B}}H>s*gVpJ-%Aj
zkbR(wQ}aF!2V^K%25SRx1y~t0QP3hBVNQ+%a#F>1p@nmm`2J73!zTq|z3
zpa$VnH|3Co3{;DAr^|h}rxGES9wqMiJ<*a;qHc2!)i5tl&WB6E^c7nPivQEWIzY_tv`ldr`uG`{AM3QUAv8;xpDtLM2VNdrFn
zcJHm3)qr8Y;DdYmvtbbF38UA@Q|TeLeegu}VKB%^tGX)h-w*V`Kv&<-1W%|#gbQ-y
z@2_LWA;5`z26o-abi&E+&G4)RqpLBNF)b?V`y&D=2I~P@%bXV0Pa^?5foME_@@=)K
zaXn{-wZX@W-_jSAno&F#Wz&p8>{%phDpaop%=R5aBef(+hoG!i
zaub#|qwjfa%;(bk9{x_uux(yQ99WHS(=Q?6gQEeU?fzz-yCGHrfD(@;a&?}MK7pnx
zv&RhgY0!O`mGwlq<~_xijU121a@q0+H?oqBK?OM(nC9%4L%sAO&MXOl3X&E7daY%7
zbuS=s?ek5v+OZTPbt
z39m7}gLd;eHEO(Rlq>aOHO@wsjj*ADN3{_g@I$$U+0sBVGWLj2c?$s<-aA
zu{M&`zADnEkRJJjFBXenAN@zj1l&xnu4z|qR=0(Fdv{YN=C!YI7yujs6{Y?>PvhRD
zA{MONvm6*dt6bLthB_0JOA_M|2c!{Kb`tD6{I;@il4JhxMCf2+0
zUIrh$q4?TUjk^$~@w-c$he2v#6Z~bOm!!GZ2+YBiAt1V)*m2r;q@_s9G(n|^zmi4G
z`sC`P#mnKj5HK3ur96hj5u#RHXj=mXQYL|`X#Y2JU@>J%rnW*zMIlLE&Y27mz1?d2
zW3BSx5fxYCA;b1KJE2()*TjG=T{%0nHt3`l+Xs;8&
zV8^9l$Df7H+8u9-iuM*?c5;vgi$RP`Ct&=NpZuU~3}t}G%}Ispck2}$J|@k4EBVF&
zeY*|R>8BfCliPh`Qy|eqU5XRuF~se+3$TTzfLx1Cf{nwJ9Q&Ui|Gp9K*g*vi{1KB1{iZ~EPixn}kFtD7oR2g&$!5HAAusOGA;rzgr@NmKFmu5dzQ(!rzuBYE3!f&A2nPQ1PYL7>
zVu}@F=G~7XiZwsbb)Zugm!#2c=&gpKlL4$6>gHNO
zCA^?Pl8&vUKcb5y=sj_OjAD=ii{_?RnaJ%cxAM!$b#iiuDEH-tE$LZS|kr*ZZ$vv;WLinLR<#{YH4-}PwM+;|K`n;{_iN9NaC
zFfbQ*!aq6qNVNY|1HMP|p8+2faRA?S=E@NX{{C(|ni0Pl3wEJ;U)*f75_W3*2!y;f
zhtQ9@fh!~eAqAN4=Fx8$1W^YL|I=Z+em96|?SR-qqT_K1X5yh)j-)ZfRY*NUU}GqS
zRIt~Md~6&lM1%cm5YcU?n!*_Le#S{6Fa_rBd+fD;!HXd79XBb?V}#k2@vab$RS
z2io>FNttQCsd`VYe$#ik9f!Z>=?N!x1rWX>VDrRL6V$yokKn#%&-jiHV1Yfptm`O#
zUu64N&`}#^qQhmP!2XbJg84mOrxJ;5%t~9dj09xe9i1Wl7bSxTr
z#j4D+Xlv{IHqneMo#Hu>C6{;7w{M48tFVWuv1?@D!g1pR85C4W;iHs2&pt%zy3{uhcuZS
zjbNv*I{Tu&vxMh%m}eSvUbXKDdJ1(`XKJ1ulchVilTp3HqW9=CZl1Lc;M`Cwr^8a^
z<{Y#sZchr+PiNC9imK8F7**{4Kr9pan>oED*D#aR#SkCLCb=VQbe+cxhjwil10
z&DQp~Bo1M7;CY@IMICVX^vnzk%O&?rfh&+ZkpHm5biW;R3&UyF1e#UdL0%D`{tmdx^$iUUY*#U
zq)caV^}e-9J}a%rYYPU(0#8CJ$a}dOHFp(3Q1U0b|B#uJI5dXNJ#c!uh~(9+3;th&
z@6ZLyCh>A}Cw%(Eb?@$7GdnwFXpjtjsoS@pO+dmo+}%4on1E7LTuURPWjCuY^^1cXoE>
z<%q#_(8lGVm5h}zkDhziN9g(-H7Ye1pa(K~W+)DA(LM%9rS)+l&l@joi7byV79}UzUe?8!?kPBZ~c#n
zL1c8a8gq!nj@Q#V!s|0f-I^;m_4PdW*U8DqX18{02W#;S>x_POmRy|(g;;-@a;h5@
zArnC0evzCCKidiF%k>p0r=hj^g<;-ZPYy}SKF6UGLe3*)_*mV(o<9@y>n*k(DwB3v
zC;N=zPFZ
zv%636#A-Qdaff%KOg=wonWMK3$0@d_=f6?dc0;Xw*PW^(NE(P7%hGp!dQYOOR->0@
zs&*H!)EA}6P#_f^Vy+EqWwj9
zUNW`3
z?688pV!76*DMzk{evF7pxMXe~nj@b)bGaQLrr*AOQ`hro;p>~BTypk>vu}KYg6W!>
z`@{ox=n{^a*nhhY4WE{(bkL^m!XBmv-8d{wD@7HK`G%=lkGv<%FceQAW-FY9qyB-3
z#XdFem%y8M3}75V*jux0PjzN(WiyeVB}MH+o!gf}OE?Mvr-J5S;?EK-h(Rv|bSmi$x-)<~@y7q6-vJXcx`nKrGS%bc@TqCdSlAnG)VIYj)6opdW{B=%kGGdog
z@3zhfoCmW9k+}tq1sRYzOW7gBy>P~5cTEo5Kx9pMVK@N6^UAIgOwrjAy%DD&>zEw32Kum>d4ogOuBMcf
z6otd`uq3RHk@FdU3+)%TS`Mf#pbGuxQ>~Rh1timr3)jIsqtp>N`Er#d6ZcJR6hPo|
zB=6=>UOp~3-v)co0wlo_G+&?f+|M~oLJ#>h;lzdMyUHj#o>BZrQbRY3Ha|yUa%fZX
z9XRbs*3YqwHl7Amqk^_BhbG{|LG;seavK$9Ve;1nQ@52)zxfLb+^Md+k=r9i>UBYP
zoKG~CyEwtZ@QZICknT8!*fmSd@Vxqm{Jcqv$|qWJLi5~6U_|v54$=%Z>MV}{%P`#i
zCEfjQa+<*+*lY&K{fhpN^CDQjlVQw
zz3D$+#vIm^;bU9e$;^sxAzL{XF3ksE$dJQp2)UJ0XE2YAi_HQY-he>Td=v{HIvMws
zmA;nd4f{PvLA_?#1;6hO&Y(2w-ma#to0w>Jv45F;^1kc0yF_{QGfqMi#9^+R35Du*
z1J7i&L|%{8pUu!@or7OJ(N9LxyiO7Ulz(;s45qw!`Frl
zgqS&zU+$5+7G!AZqpCNdb{tfvDO_HsHJ&#q_i{)&U6!
z6YH#IGFxf%zIs0T@GTC~TNT1)sJUC=bK}jyh(ea=jGi3rHLMLxOO-ur9Z;4U=rOfO
zo1nYb){{8g)5fEstG6SoJJ6aeb8s9JWwwFk9oQ{}*=2L-H5;X)fIpS@RW!?1H~)2e
zK`Ke_&IJeCoQbWBGigN6)qN!O58fGm;U7YAlG`cv_lhA*h^8lB+g%+zpH1!~w%%Ck
zmrQ-va+Qxs>(xOFCl0dXi=-ZsM+>=ady26DN?p`TMDeseizDT3MTh?zP3o!^+q+Bn4$$^MpnG2x-DkQR77FlRM!3IG;3cO3
zfKcm)B$!A~$Y%=zrmCKfekra2TJJNJfugEVtg>4bKYJ>+)x2)(S>F)(Vl2_!>grR?qPV?^oA*KjU}
zIvEA@HJx8S8!PJnST_c{kbv6E0
z0{I#TJ3Di1+ez15%U5CT-j%u9cBf#
zV{$wTH_3A138%G@9Y7h*JTt<_VmXtXZije$ij)1cztqtmqe;Dihx8Up9=bhLQ{=f*
zMrfsefWb=K1gF17+X8d!L^$9Fw?n;?sT&KTmUxO7lKV;ZJCV3P)(kPP4T=|RK1Sb*
zGU|8iN;7Z9w{yO~l8eE9yPVmsNc*B&7RNCn#1gW#?Z+UfP-*m)K&!wNQ&WZpBSywq$!9Rk
zSnVb%CT6#i)SvhHF57>*3%I)vU42X#M>3$2Ffu4qwT^Y5puB9L8TZDrHnk2zr*9J!k
zIYd4BI2^M=fV~2`amXeNFyQXF?YM
z>;4mUYuA_^rZbx|Gn-b5kwPA^{=i;|hsad5^=us6$SkUP4BN_eoP6flV2W~7qNDQX%Ip5WgY@z|6C>!fAdC{cwug*
z)EKooGM}Ji5r8bT;c@Xd03Rn`xO$w~G&LCqF{}iS8`}yK#Xz8~6ymOf%Tp!IW+xe}
z9+<>$rw
zNWZ6MeyEmI1RyH|m8LR;_ug#~z#B~d>Jc&7&2;IoK)Rt8R5v6PUzVEL
zZ0{&<>{bTjF|EBaVd_qmKYGmjp)y)L)1-m2?gV2_zAb>=diOeJzG(fMskJ!$zqHglM0l3~K7U`S)dC08d)z_E-O*0*H&qD&^u{oqBAp+Zb4h@D8
z?4K7GH#?krt&?`flRtXyR1_Ik0Z0bOPUftA-pi9{^D$ur=e^^)w25ZaG6wOf2bhs}
z<>_M(u>4CCZ<3m)kCFfe0H_n@ilVi0BMLw3yo@ZpiO_ExZ_TX~R3WDeV)J3Q;sYvFK8mdQfz^mL^uII|
zJ-|{47m(uo*by>NEV}(C&O2KIg!7_JP>>K|rc06uo<N`j{aZ?cbSir_fyz}BJzDn}2Y2i97#WDZ?Xi1v8@jGBNr&q0Ewf`8x*^Ekh
zNZ-L4VJta3lDk%S4e22u=|k~rU0^~`Weztm*LeC1ade+YQ*N9=
z>YkHw5)qiMu$_wDlhIE4`a?4Bmw*x(Kf`kbJ30tSnA|5uBliF9Ga}$VOgwHg1&fVE
zmu(6!;N6?=JYukJElK)x`s1?^z%FX;!nkULAW?(umIwB+0D$5fy$fCaF&`j}3e#%5
z%+BnYM_2q?OxWMn9+GDA>!^@8PF;k-dZN>@zz{RgiCzj6x!*{|71BR`CmY4fSxGWb
zYbuYc?$VD0ncn7otW`lIbQ)OIFT^WO;1CD90YQEo@m&q^*K^GJKJ?ZlSFf;i>=2W{
z;f^m!-eSP{*E5fwIMSLJL)_dS0OyMw3qgUk-~4FdXcaF&;g4cZs~9AA5fv()1y~Gv
z>nNNy0Mr`aM)C*0l*aT6dVuQ>IOYH2B!YE(4Xd*Utb!wcTGJNt&okG~XaFntq5lk7
z0X&4w5Lg2}ZS(ibacHI>&J!h(m@CM>?qaMG##?^?2(7r}d33hg6G1GFt^)}XMa)q`
zM6(H)1A#$-r%43S`ybRGqmiSO02uuL4go-Pi1^{r(1DH!yaa&P|6NwJ#MtYF!Ociq
z{n7h@U6I1`M9_I1mKx@8WOn@f5#XUM*oqFXNNUixpj^0@UpI;|Y|pC4v_nuAPGWmM
zgaPAJw@A1MS1y`zP=VtY0n!Jt1x_z3fP?<W;KcOS
zi)A#6asbQVkmgh?0sc4A4ratZ0|Y6FU=L8z!HQzpbD{q?B7WoF0iA{(#E`8*wf50?
z!HPx@n#=z_je9h`S`?IX0Bfd)VmT0+r*OF)O+&mm0;HnvA0Iybmp+Pz=I8(6C&;pF
z8T(cqtDyldYxxc7nErB3;tElD6hJf~g5k`(K}Ce7G?slK0e1R`G~TFKJ|eXEQIh6=
z2Kx7MiqiqAKo&q4=^gPYjW9Y^)G&TA*x)l?2EP!*9nIp5qW7c{Vc|Dw?ZD*E{Dl`G
z#8*#99K(W1C+>TcR-@7V_Z@#TNq8559H=sMczMKGwdf~D2aJ{w&QugE@Q=&^rwmmD
zqkwgD0IhjgUFk;jHoa>1#=!ucH@$?-34%+qzwWPIV7xyubL@N4^I&C0J0>ra)UJ5S
z)U~rS1vBD~mj}}d)zh9UU%1aid#vDYlXoj@9bdegxp)Npy4MsT+vlBlzn{)(W7})M
z@w%IneQSe$YfOa!&t0cB>o%VjThD2Gk1>0gU?I5F}8rq+M!6v`~FKuE01adGUuU@UNNB1)a3%NKq>IF5rk
zVlZCRC0MoVtUM;3j1M%Y>l?o=4=1C4{roI5eE!S*$wNHk9GZn{Ha<>l=v6;~?m^@Z
z4?N5Xdn@;u(9x^WeRK5c8p@+lqucIiQa{cZ!Yo?BYeW9PaQGF`yx|XmsMp63dzdK&
zBbv~B?`m8uY46iXfMt}4K3a6L?*8TShT|9E689r_mhmxs=3?@7ag+iS#d1k5v#TSKOaEZkr=d_
zp=7T8=NVLNttE(^K&DDI$i+RX4Ir^l?YR6yf>Oj)^&*G9s=WN$6NKc6pN#7*hD#nd
zwzOE=3-R&s?bM4M#5Xp|_H=irLQg|-5!Zri_aYKS-FNy2iy=0nwp4vsMQ7fTAQd6(
zk~eM#f%vZ47pHp)Ej9Mx@O{y`_MJ26x*(?LG@Bn=BNwRhyoKz3y?lFFAOVfwq9uiz
zi5ZCTW}wl#y#=I>?WCw~D^%UD0+=~&`
z8Yy%1*Zj7$*|fAN7l>9WyZ3?fGv{mk<2YxVYRQDDPy!-YNg#S|~6tudv@06
z3B9hptN-}zn>3o%fq1E=vIo(fisiP`eTT5bcTl0z85aLm>3x^ruh~@V7naB3wpXWb
z-)m}UP6XY8DF1dl^15wr
zan(AT<7{VAr7Z>1UsjI-!S^UQ)B|@*PCh{MSk_gv
ziRYdm==K1XpvnKhR4qGoCpt7V^rh!BaT*KlN3IeQ614_m(Si?zttSw|)-#AZXd
zxUSRk>iQ+rB=~U|B&;i0i2hf6hd@WYXlDuec^678UwkaiGc3D7RVEo{d@QB1t!+k-i#J@QAUrzL!F7>*w~!2w9;mf5GLm}Q|#VIfe)!=sGBeU
z_*}L*>gG7vNRp+MFa1vJz`5Cd#kEp9*YH_mV{+kU(Tp6yuBB_|Ym&u)>s;5xjj7NEs(o&Zii578FZwh5Q?S6wU
zEj9HHnzDhUR#occ{M;O!3@$FN>*mOlLa1@nE*#sI0%K8tEN{%i)~Gaw80V|^M*;)S
zq3q70o{3l4`#%
z>^b-J_NK$miRa1q^J{9#V!ZYR%C;yCpKja9EwxRrzK|W%Zfb2kv(H1TFMh#N|8^Z7
z4Px{8**WBToS4tsYw9o0voy<0ZMs)HJ8@Y^5N#Ov^XL7A!9uyt1)7dUSo-RwEVRnL+Ro6;Xj8$#@JYBiJF$4=8r0=#+nA+Fe(7;u(;3j;Y
zLB1R69x_0h^!Dm>TXBU)Cbr&c`8@11R$OW2HR{Un*l;j&u@oIKnD45=*egL=r|gs;
z@2)r-y;aKfYW}%{FzPxv6#-l47#ysG?SPQX4q{M9Pe`~q@$JoNwk}9Bv`@@-rBK+I
z)_R|E-CZbNhrG<~mX?;e?lhH~8`dCeU1yWR3XJMbWN8;Ru9cyQF2^4=&pxc?=#}?Q
zy(k^D-xU_RxSB_PNx&SB=CAqz%ZUN6+U9LYY{Lb-<3H8yFNye+JEkIx-zWae2#syO
z)%Vyop%ipryo$_?R=UkR&e5+V=xb|hBNDN(u#mlj(8(Bod)@Kv4F#$-qQyM*^~xM%
zzB|<&F1K(;iVsn$Um{S-e9g;!{zB6I0#siCuYf3dbwRl36Zur)^N=P7;+dK|z699B
ze%kATPZl%LoZ&@wT}3^;XsExnm}){!PJT61AviOWl}#(}R)$7SFG$crhuKbV>!I`?
zODXH?LHD`3?i3Z1@@d9A3>k<^U7ye-ymlnz^N-^^OEj229!}r;M@FYhd7Ugz`IN*5
zuUoV4F^V+AczPGj`g4txR!w0~^y$0Zo1C0H;?%uLw@ul=6GT**QBhwG@a5#>Q0)Sx
zkyzIR!)sa@Y4aOg-MZE{j^CEXC~Y0Oq{v4Tgki9E#p4KT*zmB!4UAFd^N*QjGitvI
zmj0fyOt@-a%8itH?3Xz$jb=Tb_%;j40sN6!NI7f4WZQv&YI=HXIei(RYNfNpY=&=u
z=$x%166+3S)8V!3Wd(681*@H&n%W*|Tg4=E_To$V3!p^kg`G2ar5_hQj_J4+wy*#QXyNsns$b&2~PnL`{wuz9XUb_rs$!=0lrHDr%k$owV
zbx_%|q>yD~Pe#;aCxkS-_tE=aZ@=I5d;fsnxvsgcnR8~&xxe4<{r%pb&*$9d9xlP7
z#yvef_<_(Ij%`diC%fwhgqQ|X=JiWLrIhg=EIN7}s+ln6YI(hVm<+9Z`$id~XZD|}
zqEE1nwo9CcK+u)X4CxpcwSfE121V%d1(vr(_BU-NOa|`}U<9CfFowe32skWI|
zHzTjz8`*oSjQwF^2W#3T*#-Oc%UW~X+QUgviaMeU7G8D{YHVb8`FQGNg1?m35c_4M
z@$+ki*ef_%WY$NYxf|9{g;Htw1&!a*(lY%;gOZBMlbRaM*{=&V_Cx$%AI$D=E3Qv3
zug7MFk$F)tHvGcA1u&+R#}JshbNJ0yaN6?Ymk_V;`EU8<<;s~xPJG){7V019q+B!H
zEtA>Lc9G@)OSYfIv8e_BS^Rj7c(}|71oP(na`@vJF5IB{c=<8AjfiQDezqvqyX1Et
z=QwbZ?lw&EZVSf+6i1`X!jnX0GG9lfFndV?U<{wX-Ie{ZRaRrED9GuMS=c-H)g%#LaVanO{(#3b&@@zpxOdps$vobWu6%@?VJ)Ij?yJv=x<%+0ix_JJo3
zT)G6k6Rn2&4$hhgQq*jS@M<3Wp<@;r8rrClIingiaM!{~kI0NW1Q>jK;yy&;xR{<8
zzPFn*@FScu~VfbhVu&98HrJwa)=8`8ZZ*}I45~;1PTH!
zdgb{w$J+;aLlC`5Ul6WPDqJr6@#BYaQOMXUuI{O(q`jVj8J{a8c>c5s+9~<=sfeel
zjN|3voTNmjPtOJd1S7FMC=BxePI!pb@4%OSCjIhq?iSwta&mG@{q#kN;B_QM8t6)A
zd44%?y4@OP1RzUWunp;iG|@WomRh8eE0Z5niRzSP(C6|ITRiP3xbT1Zj50`sj>--H
z0B^+uWAqZ>jzuc*MPYhFEXXV9pu5mPH1jf7O>#bfxg8xHT>(3x-}Ty!nwgg;4SeG)m&74;?aG{D9!j
z6HlL>03_Jb-cDF~ijc>)I6N3lL+?3mZHG}k1>OG7UGKMZ%AbS4_59-4^-Gsl?_y}&
z)q%@Y^e^V|)R_I+)G8GuW?!juhj~aybxFz54lbl102B#5rYm)P_@;>uAmO6h?e;*8
zlpty~Zvjsf&?49>(G+HMBe%k^Y`yzs*Ts`qhkTr9+VkgX57m4P05_mz$^bR}acNv1
z&7IFFH?gqDMboDsx>BJZmHg-JfivNud&~fJW;0yf+^9gwB=FYd7feD!YeqFY9;#aa
z+~8OD%Lf4BR9TRDB6<=^e|1AcmVoD34emsQ8UPY5e{Gd(w)yv4;j6Xz!~57`8{F@9?V27arG%{eF&J}Ueb>1Jh-c5{
zcjp?NcxdSf{bdyP-7GF4VG8nIQeCxc41y2$PVIFlp_M$9Qq5GgRN4RcA#=I>@z1
z-%ZAfd(*8w{92(^XwD$O(?r|Lz!1N#GXhsfZ&2)CG6huI251Na;h%&tFoxm$Ha8;D
z#dAPT&H}*tQj1I>N=>aOZgDk?8BcdmN75a`cc=nqzg`#wpdC+*4qd|HsnCXucvlyf
z&NvwhalGAHi^Z0WX6Esf!b^ik5Yo9^EvZEJ9hkZ(R&wVkbS#`M?5;Rk_4W3H)P#iG
zgJwDU-@i^%#7~=>PZl=|-#*}d|A^x)$ORLWE@c%SKMT}=i;K&oFo;%%iMx02T6>EK
zP>adsCr_S83~QFABqh18hcJHTr2I
za~3eP1_lOYE?r^;XNtvqawGT@om_zZ@l4&>2ks3sS6BD1&u^1{f3UI8EOHXnNaXPR
z$`|g7Pry7%S0rkt8iA&FPn>I?eA@8b9`gD_%@DPvN+9SU=>>wTDFv^3K}M{%$tR04
zN927SDU5JrgqsPC73mGGBvQP1gLOE|U#WPQ9BjuROElwEv`FFLpcN4JQ?`XFZo{;f
z?SRNXEv}6(2kv3r201V_H{H)|+nK^Gq_$hlg+1PibDzBE>;?vBYnu{($TEXUH3dYZ
zEgXFUJR>hZ|J@+P-FLcQfdN9KN|m;l2Ort6FJ&Xy;i=Fz2oKvhg$RW9nfHokR7j0;
zD>sBIY8nV2Qhr~W;4RIhEeC4v(1DfYuFnfXb$a@rnR-#|vI!71fb56Bd`WjbtH?~Y
z%+AgZg#Wzid14_4QQ{4VfIxM|nxp$bs}jdUJ=MPKlL?%Cxv-MG85~OGAYpCMq0vUJ
zapwlD%*O6sOw*4geW*G(;nyr`ZWEyK@@fjKj|Q=XhiVcBzgz8t>rx>hpJ-<%hfimI
zM3cRbsk@VrAr==OZxEZ8mv_PQMmZ1X2E$A|(
z1S-fuJW#%vrB6zV;g@^Z*o6hrH6CQB^pc3)Rt)*{RTi#TpY?WSzbjzw!r?A6uP
z<ABmo!x+vmmG(%b*j#OARDbRmh&0v4?Ewl-if2dJ#|NNZ|)douf5j
z`E2ljb?UKEswPTSrBZ{%@aS6QQ7wsV19jk_56#Tf^n8#yxLC6E9)>F7CBP)=qp#@H
z7SlY|1=)P4G6o)rk3}U-SdAv3aJRIq?CEpo(r5Zug@0TaEW?{lyPpHaN^g02Ila9#
zWM$ZST?ymE2_I2;rak4Dz(ouZL@&nr%GBfBlvwfMuuVof(tH@!7DC*u4MC(bLTXsu
zUVIm8^54YdSq8Zjf(c|($}Lr8XX{?U;Y`Opv=Zd(NdA)FVV+t&yOcdzz5`+qnx8l$
zZFdxOsm7Uv3es>Mpx#HHG}p#?(O{cSM;~f{X?vmeFtP$GTX*<&j*o|-$r<2p73<2=
zXuA&$K)Z`3@|(w=ffZd=DB5v}KJz<+BUPC5FDn7f;7U~9@}?7JMr!RS6biqFe-WDD
zeeCON>`aZd&g%9Zb5)Ck24=~LRt}1RDadoG_Dr2Q!p8z#;6aGN+OS$~VU0(M&h4-1
zi;s(njA3W@H8$QQNS8h(Y_#67*a`kp;;;h#a%xKs1y~Vt^o}5=QHi{TFp#s5h_v;t
h4o!&K+WsHx+7Q{LITvW4U6X)XjMpXTJUwn7{!ix{ac=+s

literal 54668
zcmdSAcTkgG^gb9xL=nV>^rC=B6Qma@igf9ODouKgbSWXAf&$W;bP#Ew_a2nqdxwDZ
z4$?~??2VuAY?+<;&FswXADe;6J8$yd+;Z+Y&w0*s15}h`hzThPArJ_$oa}2g2;`a%
z1cC>-aUI-w+dxeO-mbq>ka-Q>!Ru7A76IOFzL(W;fl}|B1X_ZM(^n2W#%_Ma^Fykpo0H+=qGK+dSI-1&DUk-`AE`tNGh>6*lUAHqW*H~w9v
z_T7bC`FC|7^#8Om*DNxhZ5|O3w%KEm`ftes+}w|cY|ZoT-@i{|Ks?z|VMk0%EEn;1
zY~=jh>x8X2l!PFdST9W^lFJ?M1j57(CU^5*`TG|*!_vEbV>gwBt
zH@2esR-o(;ndGA7rGll?o7i57faW?X5@ItWBO?PBs=%Gv@0mH_;dkXCb};ctNn7K(
z)NKQQ{us6O&Jt(;e>3F&SLg5lSB*_18Au2uBqxu;E=FN2AturCOc&_c3v|WwvGXiu
z=J?>xCldJx``RsjwAX%5F0Fu&P>vp~-eqV7@1J>H_(3d*9jG@7YPZ$yT#NY0MO3+n
zdUeptjO
zdj7Y`W4n6Axr?LHb^WvC6H-DdNtV0EejXy>6A^fB)F_V%wR40>n1H02_1yKZ0UVzTfe
z9{f}?H1zV&@X|$Y5Ppo#@~BU?*8e}+Y5@&#v^gA%6naDbjX{s-5a$kX?0$-&>vWd*
zg%ypkv#bMkp&+*L7Uys*>VV15I2(aoK`50!``1X3(_Ki?a!ywAph>7`Cd_+3p>xSm
z&trCO&NxZX;oZboW@e@aYxF2lDC(~tXL||zMU(jXr{$Fu^?Z_l4Q#%-CZWJfNestK
z&5ruw5jg+-^P8h#XGQE-2<^F3@3GrLM%q@al>8#6b_b8I6?5{N#5+|wJq;}HEII~b;I-RQvsE$W+(zT}H1M(9AV=l&k3O$u
zo{gCuo|MyX-X~3T>$u4yYdDc2CLzhv&0TTd@P9LVHd^UC0@cd!c#~%uzq6EU)gZG<
z6Zgh{2bQ9v>#M{55c>3ia1~`)f|*XxWdfr1qRW9A)c`kN^K?p6Q4veo`D5L0uOKc!
zLQL%Po@rdZ!p`lWKF(_5nnaMnhdF%FzrXNmE{>-71O=BrYgv~BK5~I
z9(ks)JRl63LV>kks=rolUJ2q-4p~a>m-?B4acqyqQ-q_}e#G>xatSy}hos93cxoXNrelH+&dz_8M_;
zScrhP*xjmkXN?XNyFBevh`{X(>r3oK0&2$`evnQ#GJD=LyIR~vJ5+4ac5lazpU4DV
zWG(XPzpYwyIDWO_HMu_i+jD9-Adl(G!l2j|b$tNfDZ=SS?NhKn-QJ8H$
zn277my?t9BZY@}eRdYlf*G
zU{ZNkw6m|)?4U3en=k$~n(B5Ja_HN|+3*&u{r0=QNB{2nWZdvM^D!pJ*^Ed%4iZ2h
z{TXNPrq!w2E}{2s$|it`=sdnq;!Iz8ejSAX{|*21|9`nY93VgOBx*X578x75sqw!G
zpPNdY5J*kW<;lcl<@Q#l)w83oH$SG@VD5Nr$8$P++{E>u<{F68iOZMuJ0VJ(X&nEB
zZ+3dfRUf;DGHP2c%H<}gkEbdTrX<>|iCfu4oD83Os&NlaegiSQLRCA6ch^!8`=;uA
zBUoZPMXd$yUcbo09r-27rh(oQjQgI9qji`t7?nbTK&Zt(y85He0W!GuSP4gCK
zGhw&2C?Kxi@C-#7h7`gW&D!j?P&tfWAn7OYxEaBMa3aN
zZK>(tVR}EoZ)VzP!^7~;;$%6yA%#T`JBoOz2BVqGQE65fk&7p?KdXAS>$np%Bf>m-b{g!DC
zk5!hKw6Hf
zdRxm|w6;srwX&Z5msN)Mw3hj}+E#W}To%;^t%zIIqoHtlvO8D7P>e8#E6iRH%P-pT
zVj5b9P}phgC+)*ZuaVh3D2g$6&#d}32Uoq|SC{p)^}y@Hw;DZu2Bc{6?ah58v=ExA
ztI6lPe8qFF6XeMnCSH2BQ4(V$W_{hd;jQ?&4j0B&^0bt@#PLE^3Zw%*GcWgVLbRKv
z=UM~*TC_axt3^`lTzb1>*-}Uqoj2mDI>~|
zTK>?aet#cqEFbJkV6VA1km1V)vZJ@mk0$&dbDF*HzYbu-m
z!WR7zu_e~+32P}v#9&72aa%=GReYIw8^5%ODQ~L!zVG~liBF!~<25a|JjcTiUyw<%
zCN4d_J>-Y53dMQ6NnctCNKqi;)Xx|sYCY$urm#K8Y?)}ub&3_(c-&gD0jDa1{@*`}
zUp!V2y_a
zavf`=3Vw@5q@+(+MDY2>{5+4l7O>G>Fto}d^{l1BqHCjH&fD$)F+51|IkbXZxPnsTP+pF~j
z+VS2c1w3MW{X`Fi+dC<6zVoQH6+?^!GN?nn%pUr;bx{Jcqg7>AxHq+xz=
z@blXGJ0rVzzxdz#vy=8(_h}{>iA}~oX{O?GHZ#yPc7k1$kJW4R{H*l_4(Y&mbS_9V
zY`gp>GMtk6YRm7*oN!~gj9Vp?4XAOxXmx;+kG*$}584ptZETHnav--E*}25-Y)s8!
zT?sUSLHOiL;NS775c*rbKXvxu3kva*VMU+o{CC|)T}IBAE;4M}rrDbxR%RW0^3rxU
zg5uBJ?V9@7_Dt}jRg|i0E4a(mrc=V#$m4}Hw5sGKHycsk2tDl-&z;TaOH`K>oG7cF
zGBjBm{=H97{7N7un&+PAw)Lf$b(@#s#gD`N^L_D4C-iYMNfdhIGzINl4BgSHXJ7M#
zt69Juvhzd7w$7F;kZ5rNh)?v%Yl76mmX~?!s)oUCUVew#nI=y~%yT{{WtuU4Gp3q6
z+>K!6tVY&tvO3S+A|_G@R9|G?fPS?V0KVk>ECS39-^>xIrpd^xQY8obcF4!f;XMoC
z&Lrd9T~~UTum*K&31Q}*C-nqgW}}CvLISd|26Vpmlpru;k}7%G@My8G?)XzIMY#q_
zFn2oHdBobPLZG){wSdUy9q`s#Ti<6l^B*WEO{ihnW&G-u+A2lB<~CviJ`diNK*V=i
z8sFHu7vyoQ;q+?k52;Y}GwsXyX|4?4pi=NVYzQ&6MX3_U%w@y(P&mkSX7M#q7}x1#
z*QucUoik^2PC3#UFjp!aW{Q}!a|4;vdN#@XY%tc^F8isN`l7pCq7+XnEfyN=7i8nl
zq!bSq*d&Ev+{4YvHmpgp1O2|H7k&2(wUr@
z)JZ9Q$WP#ck<@bJ^W+ig{LwU}X0hGFWCzteH6k$OeJ}1NO}%H^wIhE>t1C2%KJX+=
zy%NMY!$D-q>0~pQM<%x`YArpG(arM?lC+u+Uk8qq1;#qu+%%%7RX;NG_ptXeaqQr}
z3)B!7ORTnwaw9LZegKC}T8&nR0t4>91tQl$#v1cRK!s%w7Fkdf<2|K}g)7a|3i_2M
zReXz{m0t>S;=cE+*h>ed2vK0;d1tk_{%U?KJ>$c|OF!{3YQB`_>3#bjD$UM=S$emQ
zbEqAb6f3b`miqkT5iIV0(`(2=k9d!~3UjFL!j?pq_gmG)`?yHMID!U_qUg$u#`o37
zP-{&A4a3=A+Rl=c^_l&S$VeVbrkVI5xg(#PxlevE(VR;PrTT_F!?*oPse@;=)v#|Y
zbncj%6AOJ>tDu|62!?4P8{%HP4rl_wO81go51(h`A*%Z;(*in61d@wr0h%a7Q9tGu-5~all!NQwZf@7x+y!iOO}|45Dz~@`u;o!
z_Sm|jz910A>y%y4Dw1Uv@H}2U>-ucUluC;f^MhVj)1{#JQ!^8(P;#(a{$2=?_R5dh
zR>caLDWs1*c<@DS{Hy8rh-jV>K?=+HIqM&7TzNfqm-`k&(5zFZju6hIl!48{2tVeD
z=XwANylGQWkwYaH(X!;p)p_b+|G`>YyfB}>1!0@^W2L_c@tT$X#oK-vlY_
z)u7xyn)@WU5&|#(OX)S_TI$M+{cfI`r5HV40fEZ(EgL>>0|k*M&J#@Pt}LZ%ZEFvE
zQ=>g{hm^R_<~}N2R83O*qWl|mLONq@?XT6T^Fzgxw@(;})G6x=QrDPu1-{R4NtW!b
zH5Kv>t^Pcw)Bq6D2z~&$+Rqb0D~iOWIK#vO(?#YdrFTWrvWO?Ux+y6yO;rH`GE1yz
z>0|v)iIp&5ptDD-=R}W4j}*3WMI-OEIuivOsP~^7GDSaYXRVylw68>01ZHeL)AO(Q
z^&evCgPGM9HUhpfmC9iRFO~VlZu9-K!C2Jr=pPwt`z@A4w0N}0#nX`ZdIPYh@%MWS
zUi7ABG){y7_qR10|4;$!{#9vip3KB6P9sj_6=}cO99a!x)Vau>*!
zCcgRM--#Ey$X~X_#beFFGnsdU0}u}H@GupcswiiZ5#a_zxdMQYt68%Q)2g^G-
zB9wU6=6I{vJFxuOXMqXXcb!46wT`rbA6}IP6j{v-0t35L1gxSRynFL|ej3T*{o^-l
z*S9+)06qlK+~4de&v4#HIiA5<^?7>D2fUTXjKtHxQRbv*kdBTjT?Nqj30=O`SX)p6
z@>-yz)!x85a)i^EVRVy+m~ZAL@6o_VA{$RUf~JVp0yZQt`Odp;6F&>Pi-4Oi$*Bm;
zXU@*tNO2La9Z!51EAF(gQ5=-%U(jiDmUAfcTLdrjdSScW2`=#z0Vz+>Cz_MVQ$6nx
zzgq}4o1Z8NL+#msOTO8da=}kAfh*=wG#mNX+rWDczTC1*wL)4$e%x#L*Fi~&XwJfH(DcGec1%LZ>>bgyG;EKH$+idsHVT@kN
zw7RePZ9ZNvu7
z-RW;cQ~lj(HIETykt@@*dJF`&xM`4xv)``g&t4sG9Ho4coE0BjV}kt31O%~VtzR<7
z2U_7gnBKyf(;FCxMQ75zouU!!y$azd})Y
zp2$a!#c?5vP1>U^eE5Ti%EDG4@L@y0{BjAj92lXYPi8~P;vi4IhibsfT|#N(kf`k(
zXJculYNsnd;`mJMRTmbzig`J_~PG64m%fLX=p|Br4p&lXA+T{XX?vcJf
zQYVT8-2Ch3449^jk0zvlKy0_&wN81GIJTrBTMrfvN$2|3%n>7D`dnIQ)PrsT&XdSJ
z^H(gI>+6w4cWu^pb&;6iPy!lap9-}>{~ewqu86mm0Y{*Y&F
zit-oh_sxF~EOML+AQ`(M!MoYJt|e^8An5l5245q@Ob-2V&EKzP#!K=jLbjv5qE$uQ
z)s271$=*`hxjW2KE)em>(^xd3Qr^gtbTE4FyAA{NGG6d2-|kR+qx9KMwegYLY+PFI
z9_zND$Te;n$@H;@>aZn1Axc=_%q3xxs)J3XQMb%HqyJvZMO+N=Cjqu>sd%w6>~PxF
zL-)1DfU-7Nv>!@2AT&kay)Ifn9iQk_bnR7R=Uqb{i>|1q(|izYT8_MIgZWH1=G~*0qUtFv{|mR_Y>9q>F%!_P5k!+Bzw2ELn@tX
zZ95Z`XovGhRD|68^Y=1@dT8wP;1-gU)ip(efiH4WON!}>y{wcpy`8QYkAEfAWT1#K
zCHbBsQwRbSgld3B>lWnfqdLD9y0`S9Cq3G)%$Psx0coGRK&p`4dZaiR())#qN&tWW
zVAeo)xKir4S!~tmQajm_&AoLDABstN=cUf){7;C_)g)4&tfEh^UO~sK@Vv=L$g2Rk
z6c3V#dd}Ybn@jE+z{o5`DFUpP_NRAuvroqJJI`e_tUOrPW3R&oBUAJJf
zY0|<$mz%81?iVb}O%&(K)2y3^V&lu*xlsUm>w$L#4!VBYbNz-+9hYC8>{YrWEou9Zg%uaz8{j>!IKA)rKKf^;G@b12M
zLFXGSDU{f4ln%)Q?+yk{`X#>-!~W*QolsU<0vJvr-P&R$@aZ;)_pbRn<-oVWK>&fhbkk?C1~f_OGKUhYQ<
zbw|^OlnL(kuztS=1wOIuG307d%?Y}AKGRgVqi{VhF>P1*A>ZYXto7W2##T?Q;5b!<
zC54LP##u0*V&BI=yxgGE;^On7Z&=&Uu<}kk`cP|GK@>FkC{G5&43MpX{AcrH&NM~E
zo`sp3{tK#@v^^%BXwDASJgLBs+L{GIYIQ>Z_SF`o2FO@*U^M*>WdXH;EIg&WkTs}&
zz_4;rt%7~K$MN-W!CM9|)ksWN^xP_Kx1zA~Zl%qcid;{>#gUNKp}<88WW0!I>6kwu
z$gL|z4xsrhKwcWf`Q_6cE}(w6ReEdVtGB>IeS+^W~88C~5xSq7dNo+DA@ZD&H|h{~WaBX@iyHHfTx#n?Z!mhsZRLbx(ZJ2Us$U
zC(4^D2Ff*JhPE?ZQVd3vWOv?GE>Ab;N_}$ML=l^p36_q9Ct`ErTJ+*vpL7VUa$&KlOFl&wHkdO+HA$k+t!7~h)b(%i}}JlmBp86zckBB3w-kK?oq`k%1BN-uT_
z(H{Q53|3PMdnleK74JC%-3m5OpKNBRBzEaBoY>!SilVB7iqp0ySZh{j?`T$-woM*u
zT4qf@9_AAJWNz}Ki9lz6Aof|
z4T~cH2;QtZ`-=u@qU%gzqY3h;{4R<&$2Jv_b8;%dF>Hz*j=*pI(*i)f?Oto|oO?D+
z?{C-4^?hs)<-4q_C1%3`)Y|}{GV)Q4Jedf2pb>weQY4&Zi+t}|qQVS(dbg#U?KdQ9
znF)2`ri{P0GI%IF`OM)?u4D61GXpf~#E>+}tLVps1tmwNCX?0m`puJv@J|o5K?=#A
zK99P6{i9vGz3|K|OUyd#N#Q$W{TfUd@Y;}7QrjzdsqH}{ADCODhNw{2pKT|b7oyDp
z_lmziP(z%YRFV-+LR#Sf-Ed-7<1b9Uu@sds7Y&lI1VS7S%mr3Wgu8S4AHA_&(z*YmU$(n{?l=##B`6BqK`3
z4DuQmrS!MoNd;RD4PD~=<`qEr-_;iMzPv-_Y3zgo1S_e4VuY%e4o
z$pik!9bw#(F@zW%*5o0YIXM96DR-{rWDN;@0xr}Q#oFH)$4$fFkZL9DpXWtZ_ZLjr
zln>;F#9oepLg)^PD4mTWX5fB$rc*5q-;B~jpY|}oVC4FXD*y@%_{G|#Dg2AL_fn*T
z@$YiZYH)dZ7wRoQnM-B@1LQ}0OH{eGfDH4$y~yV*5!htTr(Jm=;@FufEv{y%g!hL0
zDqxENw&@X-pw8pZ5&Txa|6rk<4-dj-VYylJN{f$E8e`gK
zyH$hw30SM#5Gl^hF3VM9qSE<}JhF}0I=q6L`;Ex&4uh2s;E6>^_Z9-jJqre@m+ZAh
zowVa|FMW;WU5k&CJWxbl
zTuZr`j323Ne;aK$Bbrh%FDqr}DHZ}_?uWV)>&I!G*aO5BoSgj*_>yr#;J{)W0Nbsv
zr9$0IXkAQHs$)Drd_S;4jaqKzH9dk~gIb~2Cug&&K98U?#8@^?)uso+$n&l%MPbym
z(*1n&I*Vqn%G&gsAFU0Vzcq|!mpxBXzmPw!0*TKZ08seID;{Ol@jQzMG)B)0w2HPK
z>bR$y9LH6xy}0@*1EjA1s{4HllV;bL
z%39KP=++MI`6S~wAVi(We68zntiXMF2liT17DQ(HAbuRwlMF;1K#IXfz68~2^L$w+
zT$Uu(kDgs0IsVrDH3P@?hvd;+jSDHZD@-t^0Q~b0U^Tol!zrU}tRm(%t9b50OGkdH
z*tgl83dw+e1_;r-RmHVibM5?FN$trYU~GK08<{mA@JEg&iZ68apU+RF5ChT?&??pk
zlk+88ve-A-aamdG)@+WV3-7G4GyB
z@P5lwyXP0kY?OjQkvA^lS925FD{~Rc3a9m52U*QTmW8$?*L1EVGg!z
zKOc@mtrLs@p;X@uqdX4MGg&C$3m;}t_SFA*Vo&|zxK0657WD|My1GM3I^YfJa#TP~
zXOYjaUoc``nz8b3N74=6%ZS_o8^S3y3KR2S4w^9ok>x@izKYbn61E}Wxt1zyX~3^Z
zP{L`4%Hx@S!4Z1DnD|N$_ySvb~HxXj|kp<>UbYZ-K@4njIbfYsZ|*Nk%1XGtN{!x--Api
zrPs0Sdg!K1y=&33hXU}Ckkh@)rkJTkWFZrYP~BQlR<6%r0Xk(1y@Fds>?;y_NIl1B
zV1P2m&b^k1M`r%{ul3q~nj2Eo4$sC_3y@kb#~zXv27rpq2Pyj=TG<(my?p0eD-Ql1
zP7gg3x%&bnk*&COpgF@>UzfP#DH|Ua%JExJSTVadn*~Z7h0MZ$B6HdM-HG(o25A0t
zKYsakA*zQ>DfaTIeDz^L!hz=vQ2h46wlM2JL^%=WdjZP8U23MCj%o>tq)$`i-+Gkv
zQei2ml*+)c@)j~Y(_0l*Jz}%{UNX2+D^v7Vp@o`j=R&QVeP|Nv4co*Ui%LJ=w1Y1B
zaP-%vG+z0mpK+@+0J9&(X~-Qj6((KCk|)Cb0+=~)!4$5SF_)m|_hbgii+O9(GPdVA
zxb>s}wVg3jF~*Tsmos?E()dd|UZ`vjI6(-cf(mTrWQ!$0YwB524B}|J>Fp(BKVu4<
zf2|c$)c{!s$QHPpVhAlnDC;XuUD(DNKv9oxMt-JwBIPFOXiS!XA3RQD>Mw|k@p??M
z>!hEw7EPBT#SIY^l~jh{S5n3MuTe@Ewr`h|WBen`y`hH1iX9YXydR_rs?lsQb#W>$
znIep3d&8J&O~H0$6RFsrxwjxoNVVp%cdguVqJr~ZP+DF51Z}yA!Dtw`0v2*AaxUJO
zKjGsSmM4>*L-kW9xN_lz@rwQyMB8~4BXf_&?T^h0Y*&7=iI$7cRbMrnsw;(~x$&$ZS$*YPJp7ovG`#ox$y|H*b#_vDIO`=Gh
zcVC=f1TYIjKKgYxE984Z3k%JB0E^?+Dx4@p	jFED8-hk3yI4BfD_V>U*3l2mt?$
zu`Tg$av-x^1OMJ1Sp!qwDr>g1RYcOVKQNUinduX}LwAB*dlWCie%hv_p%;owC
z^eDJG`_fl7*kg^wwjezK#XFD81m6iu{}7W0PfBF{wIY=;)7MG`7y5601>v$vUi3QeTw4jDz_bFlbd*+kj$ay`xghxRt0gt-3KyYjJB$)
z)mCNQW>x-x&8^R*;6upSJ-uI$%^OM+!`lh+AkoOhW)`O2lh1r)(XZiPD1FL9)A&z{
z0}q1S_!VNT4QLe$4dE0!1Kh)|4?)wv9C__PpdK&6rGIvzE?_%M9%(}Wkl&;?=1@}s
zUe$l|ib8Ac{Rwn{M0BiZb=FlW19l#he=-z59W!YR%vJ=nRy2fD6x>!p42^+W7WQq`
z311Vp#`KPCriS~3o~zel3zF^_D!!cy_&Z=@Q}w2}KG*>d4uRVrX%Y7{EEb%2P`4uM
z=JOpxmzI;=%*=^E>BPQe5BEh|yw+cM5_Gw!<$Ox)Pd-duZhP=l(PP|4NfNj=SVMkJ
zSWs=b=M_~m5rMlBFdX(5TT;Akmp{2{-Z)ACASPs0{+a}&KMN?G>Pg0zzu;!S2o9oX
zs$uyl&CIi1Hr$<6s8>7zc$7%j4qkU2r=&-R6IuQ`dW35*nxbMcYU=(~(qju#lE44+
zeISGeI7O4)&z`+0s{30pQx>^!*bpc`WGEhd?A62~#F3V>dDd=#fb9{F=3o@h|>VFng~xo&OOR~8pNv;urI2xn5>JaNU2nS>Z>
z;WrkC}9ZEC%TTPWF`?7R{Q6P`8O;E*=}pKOge|{b1(&a#tBBIB;CU
zXsmenghj&CkiYo%*%Er35@pq;-fiickxT%C)sdD9Ku%q#?c@k#p*tu;g0jxXZd=&f
zlUimxfOFKT**QCIQiTIv2`aK|vzaaha1zrq0Q1fK33xAmCTR(-p!@0(E0Q4il88~2O;q8RW
zW4iUOu}g8iI?4lKV4nJRXB{=xGWC2gkU$IX!bky)1~qS1Gtc&X6*L60-G8(h#~?_j
zfiSE7rN2HmA5cLY{H~jq&DA;}--1!2Z{un$_YY&*PWQvjQ|v8IjJ&BdacZ`Mm}gJd
z34BHX3pPrOc=-8H7T`tUQv|Ej~>BtDbG2bU8eE1$(o{oK(XSo3CQ43p(Hpuz`{f(WU
z8omb8d4&J04#(XUEGhX@)tay?itDIzHAs&w+`hp&5U==MOB6-PGV^C>M<6X>8$-_j
zpO#$-Nc>aTTEg$aFghDpCr(>5KeB9|Sd{c5kz5Y5=kuF5v)2v)38fbI8#|8@t#}SC
zy`E=rIq~Xx`0D;rVUPG^CbC3O7)l*n50a!ob2dw^Fnbl_#g+u*V{2v*Cqx)d_gNB`
zZ0D>!6ac25Zyf7^-fLOaQjW6
zuZr7&A7E++PJ;2`JqywRkveb6)%09LuuJtcf?eEtpJ_p63R6$Ekf~DRf
zfqH%1$%s`quXoq`5BEH2K>f&3`8vp`poY5-PCGm>Cp>9@5*R25jg6vM3%S$Ik^rI@
z&^wWizU%lz7N8l<8QPjS4Q
z;AV(_|1F}fFj1qpu=<6yE+d);l{N&8vg2UJH9_g*DSEZLnsn
zQPvLC@NClBrDm1EJ+b-XyoW*pHu>vwVQYX<&_mq(K+wTpx%&du`2B8gtcBnLhL1PU
zrKMU>*nGQY7!+sxS`c?H31=03ogo=ECNW1Ja1XAM;arZUd9(bBNi?9$j)x#PRP?JC
z2dT4&>AJg$^k7?*VquYSX1B=y_coNBI%8VJRipIZUTk$25eIu^r#6Zq5x5pN-|{v?
z`u7tbDb&JfRW804w%#-}7LAE}9tFfV)3IrLxZeE=!5J|pd8WqrN_J7-+JPGG(bNqP
zJ0KNrRRR|KJ_j;%Jd5ij(!1xUgL|L?cwLAs1>(tYHz$=N^G7qoO2^F3Sc|xB5Vjz;
z_pj1Je#KZO-rzm8ggR91RTSN|It!>dpOBT*TCPAi;F`FNg95p{O4l5fuMutx)CMQo
zE%lX|Y1cOxKE3@8xMQ5gi7$$x_+D_)jug&Y^x5EO7m%v~Z?7SkFr$cTMiT^-eo{~Y
z&oLZcR7{B>ubc1ajHAS=7*wP6FfpVA#UFLqn<6$pPE^qH0kRS(0s(&$n0}11*H&Ar
z1H8Q%=J6k034X^
zH`qbI7C1eE_X!LPDCq#%#afwl0n-CX=ETa|YUcA6A0RaVlqaiU#MChPX?u{%dK>h#
zluf~SUIpkpqdi&s#~au>ozIw;vKy9|#rU&dBOA7CwuQ8?-FstJSSc-~iNW>}ps3ZX
zjm1TyO>$rw!uDq!XYq4=KeXdL>N0u6MCpf~12R};E1Ma?uSVTgq7XyqnPko+7f79P
z`1JKQykK}9eOBT#ufI~6T@$Sfia1t`Lq;#t0
zvQ`;9hqn(2o-AL4UT#z?>9HYkDAJCa0`&l?_o2PX_3rw2<+0}^boL-R>A
zO5-!nkj!q6K^b}J7*rzuabqPJ#WuG}2+h0N_A?uyO(_{b9oivd4Js*WKfFa97<;IZ
zxo7cXd*c~^O(%X!-AS<-?9&98N4Ih4LeeoZ6BHjBvEKlC>ntK}F(~0MiWntA#LS4D
z2F3TD3`3@VgO2zR(?fLI4i3t^H!8gq9H?_OSl4#2+dG<~_U7i&%HkJg$zFSMqL=6U
z@jyHA=TB-u)jT2YNK4IPgaUtg$PRqR)8p@N0wy_}{@)&Tx(p3XNK72gubipb*7dcI
z%+=O%7(OIM}?8iLdp$)@mn8tfiPPXR5L1Gxc&=@Lw@47)?xUf
zcOhVoc`r=iEjDEQ?|K^kAhDU8S+<=?mIGIWGmOM=BC%5*D{@@G|0xA2^9QQwF?~0d
z8}VdW##Lv2-P6;FsJ-aIypyvW^{j(mcqFU71hoAlT88;B_=a9dUNo8O|Kgm^IpSgr
zkq=H)7{t9XAK~K^eYlFR8pwKAF26D`XF}b4yQp^i!)_66N0Kb9*vRaG-gSxK`@j90
z=vXc)a+KaHZEW|DuVx=xG8ZO-~hQu!-x2qOz>%?TV(R#i?TplAD=26KjYn2F0rOV~T
z@kXLk??4bIDtq=Mc(%VIl6mY!>_*Mm80dS&3z<}^?{WDPed?a@)8>4DD%Kifj8HB`
zx^S0;xzOQ6!qKe=O+~+Q*OEVk)s<}OsRAcm}T?M_{UM9a5
ze1*u(?dk)K$L>QNDd~U!Z-8xC)8rZ<-;Z`$w;pOId~e4&$xYL161i2F?b;>55Y*X7
zVJ8>ATd@N;mm_Cw-xr?(4k=A7go+pRA+Y;hy}N752;DEYY1F6-&)JUs$PBVM;cE(n
zO)8h?eV27PE?3Zv6lGCU^?Z+1>UwW;deZBUzhfjHpe3LxRC-R6zER14>a=#Xz({Ox
zwHzOiiW=BAGOhzr(L8_&<2%77;t2E8(m~Oc&1bI9a50SPCB!*CE7?OnRP^XO>a+*O
z8mm`}kX2JXnBkAKb#=cC`@fxnO8!5cf@%tsxVZ{#0s*VD{Dw9WQ+#82RJ0)maIo#H
zPY}1hO;?#UJZ5XytsG9vb>v9UJVpYs3n&dcw`LKPtz5F&j4=mNRuu`cuvbpSs4E@S
zOh~C$yRZg=ofRB78=eH{zoDo(*cfC5gd_2T%tj%er;0H@l2*MXun5b-m6ys>DvrfB~jlg7)(
z5$txAwAVnyr+uqfU8|!#%)g*Jw}=z1nXUA`a}AjpK@Ex;dpk~xeYG1$54qpqq?7B(
zFTt2ZeC?+6-Fu1;;@f$9LJ9_WPwC|#Wz8hsfARPzi7&Qyu=aYiefuxqDbboT!s`xN{LT3n3y8+5GIQmmb2Gc~W$a9mMzJ`c}V)pQmj%TzbQIgA9lN{(X;h
z!GDzGIJ8`+Bh&9Wxn2bM5
zoRE6CiT95u%}WY;p|&Jw=ipQ-=5rUk)Ioe5AdRrgE$Qit8m8yQ%;(hdHMJ<9IF$b
z-t95vt~nglbLkU3UY+sWvC}iccm4!qX`AEgFh!+motwOe&1WX<1kXBIk1~K9YN_XQ
zV3W4%fClzoL0AtapeLyfE5>KHusmSER}=%(?NyyQTNwr|GX64uB?o1EP-u-7h-5zp
ztUT#aq5cR?8??SVSrclkJ=l-gXHAU!4@`|SUZs~q?QAGx7nRFkvtsad^_0njg%*dr
z9j_G;kM*1^XSB=M+Nd5(|M_vscyl7%x;)-mR69rIDSOO|J&y`yAjQ|50qAREZzU#+9h4D%F$s-?V&V}4`mTB^
z0XX&;5X;hHYAPTFWwT**jD$^a>mASoM%SMynzIY&W%P>0hMt2GhbA6bS%K2}6Q?g!
z@gkcQVt@64%(i$VeyaSjc#Oc^r?$LoHQebvh9X1C<;kYxU(|qZt7SiiKrWmr_bBsU
zYTQy11dcFGI$qDY0|JFe+wi
zT)?yQSl6O%I}2(!xh1;S&QNo^L82vt)}cMah|fPToai+4Z-elUOGBVdktcq
zeTy>e+1z9|S)QU#>Era?aTlFp05Ua^<&Km9Q_?q}u9x?N1y|kSil!*$0|0cpqr6Lm
z0m$9bp`bkfbF(TMX%VWgTTjH~XwoA#q_RZ}(^(1y^xxFhQ=WG?oV#6Os*Rpq6}tVd
zI_nkCGR`=sP7avDV*&p<4>Sm5W=xXt?lo!aY}Pl2G5`bom~QGmm^=s4^nbE$WE
zF>e;iFqn7|aO%L3_x!ily7?S1`TE}Di-NjkE=8y3kiZ|=={C;P{sDI&a>CB5VT@}V
zhL>l7Qx84%HCRb;r&MDZ;m5VJ`sFgcuTJ(C=q|MhNN9&EQHS{)cD#oJq23yZeE~!|
zF0!_T(C7`AQm#_r3bT^?ocS|P1uNSI+Gpx0VHoQ~%lb-z+Zl0&{D81kie@mFH(NZ)
z^Xei35&%&RsJ3DC3Y((|kca;qS6!?7IJ{N;n!N`cJK4r}lVsSE5lhqpbr$O8o-H?<
z1HwIvA-+ym=BpEUaWT=dxHE9pKY{w{=ym@;;Llvc%6`{>F7R?*(7*v>9pf*KbI^3>
zzvzwyh!-1{
zoqj4D&>p;`_$8ns4I~oFhO2vHxIAhV!s^3_1}BAWW?VPNpW~bi>%*WkFqdWP&w=E-
z4@A?$$dvQfS_bYJ*ws+1Wf#zC;HEuU)bpU5r*9QNpP3k^t9p-aCq&cYNN>5gM+%_w
z4azM)jM@@zoBi~X5jl)RHtKH38G-%TKElSfY29|-Ji-o6x3DJ1hOaqWn8`1Z777{L
z-3Q8Zpcme<+@pVXlgA=^Pi;>n3#bslPNtN>1!09d;5cP}lUcr)m_kzuTS3*U%Qf+f
zEW2BXhok=vY$E;=AW{K@fKBz@DpOzjnpNFIEH$&&c^{l@+Py4wWB%?e`*06Ox+Byf_w^dts)Is(|8GhjM_=!RD>y!Df0jQJZT;=3|zn-x38om6C
z5o?b8=zDUi({h^%(52+l6v=z^gym)r2_?eMy_N2TL!+S(!gfw?1z#Am&ihi6=~X)H
zxQz2~a;1pj%NjTZ><0D}1PYTs8Linu0^xIwRyxr)33V$?8*AlTap^x1z^@JfU@;
zS-u-mXR}{^9QrH0Vc4B`iTO-zOyd`~((?M8)o&Cg
zUc7n{{>A)gvAm|l(d~-4rOP_j8VSnsFAJlOi0^X>>AegQO8;FSQ&|6I0RLdp5;cnJ
z&}#y}D|ha0#l08$J@}<3#+5ow_A}efMpD>nXqGTxrh!}03C4WtMcNNjkIEK>D-UPw
zTy0q*@ExC|L6D-ape)>;-g05)pK|bP>~%KU5(l}kj+!|pz1BKinjy%?X;*m~o-*hv
z+5Mz7F!onHNcDbXt7FKiaV747
zXR@x`%hNL7K^7;r_jd`ous?!9lW;>!v4yQ=$kiTIBf4!->M3$9Rd{D(t3dsimsF9g
ztf6{R$=C0K*MOuiZY}~23(w)ih;9~QY|@Pl!?Un}&nl%`s>^xT;cxsj)rwB+OPLN<
znROKjNj$ch-pc(!2i~^5|NV{65=p|}m8r3eC1OP4f-q89`%cYj6$LRQPlq_NP*D3c
za_rO_pX;d1Z_g^d|5Pi5D~hT&SLgOm%ZGdlKaZ}DLK~b+nyC(xfA~;10`kb9!b*7iT#b-0k^;Q)NdhW
zM}A|^&pUDtvVA9=POm=1WQSC<5ckksJ=uSL&+ygrYuzlQOX^R`I*nKqPou7^WZ&K~
z|NNfgikbumOHrt0e{Ld15|{=_OdkTima6PaOHbtU)pGSmu&GwQR+2^vzj2S{-<{?O
zzlLjNj{G*}3tl^EO~DF}9;m+rOLuG?Rm*Kv>GWBc!dyxlnRrb}h
zs=z@xyw=ynK2qh^kjgsQV$cIyPxUvxgX!1ho9gxc+lG{Q^p7b~k1VKE1IkYd=Fe#;DohtFE?>CdmNDonK`u1;~!~5oh_4|p9kUTF-~vWPJ&$9Lfr)z+8Jj}+IejnfH6Mbccs|BgwlCL
ztI-maC%-5lQ&`&5WOWyKJlsHXr(g#2+L9E1Y3NC3C?$c&-+zYtwc=mP>NNNsic)1U
zoJnBE%V)hg*}pq4O_+9Lm5($dQn-6<8>T+s(R*OAanhqANh^DT2g$hKa-EJu@prfg
zeC1r$=+LRqL{I0fa`90$!KLQsjxm}W(JXiVS>#I-$m`dh?=~rJDeUk$(NK-3^CE~q
zS8u*zyYuh?k%MVGnjSWyV*hxyT9Db9Jd!~D%Fj?z&$soHB3Fsitlq>8WK;R_6Y;W@B<4E^AtR!
z-((Pe-Ag39m(;IhNZ(APWR^aYkGjhn?
zfn@pVt4&|bDoX0N#OfZ{Adc>^w|@5;nIQBnEBUyWew|YMfaJS8b8t*WW^on=I~Iiq
zidXUJTzFCz@i9OyYo*u&T0OOGDw(O(5dyI#CR_eE>-@~@F_%j)ZTB4adcHM?^TViVkr{S`TdOj`j<{j1
z>GXToMYBPv{UImQ&lX<99V8hPX7DY`XTfl^sc=0%EaG|XCJx)+f&ulbUe*uB;`29lWwGt!~^vIdq7^FRg
zbRtSNWzZR@UKC)WBmA*(uxn0JvRL6Vx}Baw_`*%>+wqj!V!{tM4LJK8HzyXR$@b*9ui;*8(p^Qxqp
zYP}FgJU^COH{xvLrQwoqraxMv;QnhSzW`{y^v}8+R;kE@J2C^XoMXzBVRO4
z*Y%IF_s^MRy3Y@f?+uSknbYek9*^5gILp=p?@zJ!T|#Q14Yfa)jXG*CLUGNdKk}vW
zET~ZjSwFeIBQ?@)C$&H-_d9@~h^^S_3>FyVZSGprPO1AWEseV|f*GI?T=ZvQ7PUqT
z2$hn>ZE3%Uw)aWgpGtJQcsq^uD^~5pDirxVX&LsZg*{nb7^JfzZm-dlS3lB7_F7oX*8
ztVde+=s6b|ViVCClPpSGkVR}(5)?1Bav2D*9zR8Y
zOzKEk>o{dap6Lz?)6YR7*gpD-0#d5Q`~Vmq`G}+-QJJqzYzuayt;)uhC>Qvxt9W*)
z?;hoRmd_uZHF)_DwEOVP(FSVUPc9lVfU1%tTvswi_>RBwCuGR-Ar~#N(!WvpyBPI%
zIRbyZ;@x*B5rMGWsY3Y1BpzgQudTxJDGEihv;a4X;bo17coCUnVLY->8O8ORqy?Ll@dsYnM9
zbPn2PJ>SNNbzCE4MLzJJDc2utjv9DVE0ixC&&aYkg8+=Neq)at5Lhm1yB@T8iI{?M{Kyl;L~dkx`eTUo~J`jMr@B!|nX
zV<~-*vtW>qSg;qz&UYIQ14Z8Z_8q1wj>X5zPZ9JF4rI-E=IkZ;0@)Q0&d
z2GBaRRQJj({rkC30mT8$`XH&>nH+EW^B
z_p|%zbH|_IerG3H=PJ2yVS<9(KVqBA$4mfZU93zARa$dN-9ceNe~LglltwTge%wG@
z?o!jiTtzFbm0jC_s*7;rVXt7lD2xj*9Y*j8PolP_c)#2Z5&ww7ioh
zj9jepfb~WQ?KQ=C~~j@~zV
z*L&{cRWNfQ#wrCB;w~;UE^FP32O6vY&EPZ^B<3WZStC{iwKyumCsDQV)#H++j=4?o
zf7IIA(!_Y)Q_>sDUkqTaV5~}mQyx7$PV{2{FWpTQSlrPOo2H*I8mDQ`hM;uih=1yr
zHM_>;-tgC#`d9S*5q>JdAcwl5on~WFW#wf}KGtCKXtQ8N^5pP~6gN?=GQB*FEy$j0
zi-&yQUilYiwwLu;l0~yF=U9jqpOCmyN)SZivD!P#Ob4j2jpjboH~eqG910
zE+}C&syZn6g6f`zR~jf1&%@7?EtES~;Z&8U2b*~3INb;bDe$St32HJ+EzvGE7a
zfUB>UGYpAJHmvxS%->^J{tMx5cqP^ahicpl9gS>CVF=D+3bCdlaRj*X-RY16Jc#Gu
zp1uA=3-Mkhit$KI^qUiQju4CBRpTkH<21QCRR2pw+wz#ju^@bk
zP^sPM<#iNBt|xbLT!d_W9H@^Vj+k{|YtqbtZqmyJHR9-#>eWZ-@A{;sY*=e9LSqtD
z=jM0VL5_Jp8)oMI%mgt(l|02aKLNTBS^1vy4aP%HEI8=Ga?x-DG&k
zXlp?!En0g@-D;xlv~jiPR&V!g2w}d#lM>&>bO)MspU`>m9Y=nwaTA&n=UIXkZ6Pg1
zmmKaDt`@5_9pWJ6&)%Mf&;HCICKi-@%O_X#s907xTX)wcoJG*8a1G2TcxFsk=
zM&$(Z7Q^(13YXER{(aa+(uB@mw!r{P?~72bkH1_wLi@!YcH;VFJCh^ke?=I+{{7B3
z(w#^|{bOUz;{Ejc);K%|+S$T7esbV|zzY)5E*F)nImlF`P}s_hQp@*3j@T$D|JB{u`amqcja1-kFrW0Dv
zSUhGvHS6A3TLP%3gsgZyJ!>vz~IAGQ!~
zQ
z!J!GC`JgS=sePp5Q$;8z!nhs#nZf4B%TeSpy8Bf&pW7ks1p6$2UI1@{w_*#5H?iUc
zzL;H&`31bYl@-u<$P#riJ1M@4ojb+GeWrjp;XNkxR783GMs=hKkIr$aEbN=fW6-CY
zs~WP3r3DBLk{~Lz{4+gnjLxd_)iUh7QmoilD%C6(ROWbp>v_{OchUl-S!R-_5Na*T
zyP%qHd6sIRR`@w(&-lAX#&k;$8>i54oe^SYt=x-m7gbADWP
zF}eMW$>S8`v(n(y?Btr8h-sIeA0DiBGV`-T786<}fCm~T{iF8@HK3VG!q(kBX!rJ+
zs8;&w;={d4h(Yr#$}3G+{Z5e4F|vvLNo8O7l%{MMMn*g;kr9C9)oJD)-T)E1DJ;%i
zX@}_O@ZQxCLq1C-0Ck5DAjy$4se3jiVE
z%p`THu=y7Fpb;msYQP|OWXHszvJuI2WK5}vJ4lzUl}(Wcj0WKuPxomkp=dgZj`Wwq
z9*|(3=ffzz7iK8Gt%1^Q2_)!ww`1h4WiwM%u*kQ#n;7Qwn$+ed5rN9%g;UBn$DTr9
z!Z3$E+C*ixXM>ekcUSf?
zBD$qX_k-slT9aQs)!ijxq>DG3Zy->WUd;dgb7>HLkX8l&Itzx}L?TcNgRh%L6t1`k
z^zQqI4SuSe)0$TPqqiv^^ujIR>2;yOB
zx-wT@X1{I~>u$c*{5<)@opk@Vt37@Y{VN8ZLxJ@hbk~ZwL(4lwiRrY<$>El^`3?)t
znv=Na6PpjoQ}$9q2aYnalI9y7uoX`~;SJJCgWRynGskP?c`wv>!h*Y0;cM80N>7LZ
zK-S6jfwrWJSg05OvIu~+Wwgy|_9&4cbieTy3(^G$Q$GZ!nCU}k#QP){+DD|bku2Mp
zod}{`toVG)9hYR7lc&>^tYTHmTndeaWj^yds-;{}c%0*dur^GJHMl@+w+cf2IN6~g
z?7xc@JX}n3->i_;KwoNsET{N2Qdz)>DNI9#pg`|_48S}=c|K;XC^2(O;-}PS3rB*o
zwW_50|Mn}3Ip*Z6ujWyUmf5>gEYRT-Bzso9@)%S`uMPW}y$}B^DKADlr<#l7e$FL}
zlfb;{xNZ>xotZlS9j03wA5fjimNlmz#wY9S+=g<94G0Yo@?W7}N9b(_KsRKMyKxag*ocdst~lXgaIpO5^5F|&eDs19D4uu2X|jR3{d`OnVg8Nj)w}tML#Ex$H^=&
zgE2_}X4rat=(=9XV)}zvH=eL2S#PUC`q&fH9a0%a$9rR5KP9>Ptoplj9UTzF2J^p>
z)kJMf_sBUeeQEuadd>`)I0M!;M6(^k_*5TKP51#1JR&=`wTZn2O?)&@6+(V4H+Q~p
zedU!f0{RKIe@&=K2((3Lt=mHG3Y78!b3iY?;8%$PclOG4Ol7CrFXcg
z_{)ER8Dta?@=#)DtM6pN7~
zigYvMjLMJ8ejKSSgF!!o1kZwEez09d=*@eG0d`uFQ5rW7kBq_)2jd(TymKvJYWvyc
zl>TVAg>TdS3d^NU*%ZM7Np_blDq^Vfi&=Q($1>dDJYp<2BJ&uPkZ^B>1tI{ULG_E^
z$lVI$`zgLbT)NB0bmqZM
zP+90;E6v+;LQ>cHs4GUqmUMjZQ;4A;3s^$c%Yd&CpK!as5!Mz=j+lop1&;Q?8-xEp
z$$gu%s{g^$nkbSE<-JFjE&G-H5CtK^XQBzs40~pno&#f4BLxH)AXi-0OU~5)wHHGipu=^7Tb
zI5@}xW;@}WO8d`bRdOzlF+vlwW3T8hq|Q$VVP>>|`U5nY+_E1!WBi^tWik>Ytd(%G
z3==2`V$+RwmMC=r`e8m|>1+hTn&`y5w!jmB8g(2@nn)17g8^#DXq|&q@N}VUsBBpe
zyLX--NZ_ESSb7V(#3ut8+)2+8R8v_q_g<{_iWJE}6!f4AGWDYrTdZM{=WJN()Tb^w
z;+|00xwwI%GxUBo(2R|jMLR)-oVPf#9a0qcbIeCMgkzsHaP(zlVvG?o7HY4_9v`a?
z!o^$cNVZs1f=D(1)Oy$xfOtZc2QwO}H8UR703417^6<7
z$UDt$@cK$oNQ>juKL!MI=}^AW<{!V>GkI>e3yx*bS&<-aI`tpW!|8wCk?S#lqcs}xXp_a|w-drj
zKGi{*ef6X90~i|oeUkeLFl9`Y#VPkD9&k9F9fRL&Gko+4g3N5<^_PnBAXIaK${yjo
zh=J0tW%pWlaX_}KeVjt2!hh%7uiRR!bBD!vI;J>R_73W6SJJ(X4BNlmR648HcpTI}
zdlA{Ha+cN)stTwpMDQNPg3({+_t&e|Zqi90WlfnX*;eD);q4q*jXgI1>#`IrF4usJ
zDEUSe!Gbh$)Bx%5T^nz2Gco-eWl@}vi_KN(Q-uXezH*rsJ*J)Fn~+dzvHfemQqkFs
zE(V8ucsi7WBc8aLW5}}bEn@A5=Nk#A&@FBx^i+s(Xc>kD6421>xG8fUBlI?<*2L_Zrz&qZ1F17D@zOD2xDS>
zcPYmz7h%Zdk@>Km;h`A(u0C)DG8&m&v1z(%p--6m(<3xV07U`K@bi2MPli?Ux;|oO
ze3t$Cyy~No!}@O@Lq8=4yWJhH+oHS*Tc85~jSrpVU&WN@m;*BN|9Jr_3M9*jcF{K~
z8S;>j)x^#7eCK4F(&&ygSbqeHSGtzb;GdrX@|OCH4R7>O2>b~`tXnV3vomiT{_ONN
zlfS)w(r6w`uL
z`XYzTu_*K-qj4<(_TK|MZ&P%!BKRw!xS$Jw8whagXg-ycYF^CsJ;aC|q(eXtjfH
zK77mvv@GbZoxkjsnEcYstjiQH>S7zo)A1R4NztEWH&dpn&zfnE9SIbfsrI9|m(YcT
z9vWWnUyNAwjHuS_e%Y@KYI4O8
z4!-_kY(PbZ&W&p|U%jNwwfJbZxQkDb99-U`{BHi&A9Cu+K4r4_{YmjiZZ)5wuKsLP
zCvD0Q+tc7=8k&Piyt3?TE=1RmJuyqbqeSRtBuy#7<5>OYvJP0-TG{p0CpGhz&vG%f
zX!x;~1G2Eqx%zwvHtK_qlQZ6ICT3D0U`(`Qfr+etY(E4PcJO;dApay)n`B|oU`&kx
zyRQG^zJuuy#v>c#a=+2S*8Kw!?0CUG;-fQXK42b0HJq_7=i3J+*;Cu_xjK@5t3OFGKEh9~u=qf(f6!Wo_*$7Jf_|Zj
z%OHWqL4Z3fT<8G1O^8`rYbdSyaEP2eTgY_K*7^-59_KqQ_DFiuL2ICF?V3QpXM0H)
zybkh_8uDiVK+ZJvBhiMck-I-Hi?VZld#d
z_*J+L;VO<
z$j`OiAsy}Ex$L_yE5n}Aw9+MCg8OF=xLg3wRZ*~JeD0|74Lxa2=83sR&(&v~Gxl*>
z?`I(c*PCHL&FXr{!Y@e!6zTKg7!x>~VliTy*z(Rf(E(bSYX8%C&aM|Z+Ct&zF!YpJ
z3%-P%&RwhIVliqvhrB8RRyS!LXNKuBsWyTF2qrKkpn~27NV$JVbsT&tbI!u!AWRf0h=HV
z%``MDW{l!-Zrqo(_%HdIUUzoPiZPdGVRGXQ
zGd2^Lkb8ZZ`CqbK&BTz3@Z}-#@_f&st~t_0E5vO<;`k~{Vok98F61wvPrS)WJZo%)
zC;xfE@fwBE1GN1`qz9{>^|17*Rx4+EqW8rGdcXJ!_6h+|?K^}d8LOyi$ubi>>$t(-
zPdztL9f{fb#NAG_$3%vDQ$o5W@h9Yjy&+-IPJUNd$5W>|)F^Mf4HL<1yn-nua1Pi@DXDN!ewJarD%PxK1
zInmR^5q5T<^+o+2+K;|?OMR0PY2A8H=K-y56D*Db3DTPAp+d&JtUdD0lB)1q$-gPk
z-V(Cm#OKC!%GVJtWy%r7bmq8s0R0<;$5+4;*&t&215>LSO8wK1U^#*Dx-Y$hKJo$&
zhFTr71zN+fyu+(3ypFXp91{O|>&0hH9|0c&GlQavKcvSlZEjhCr$Cl>Jv>e1k~4UY
zAnBISCG!^T?Vv578^6bpmV$ym&*RwG-28Q^wU-TYcBFszbN~8oWihJy%(!k98l$7m
zdwTlxPwG$rzuT8>csto+kpu64@}r4C_w$s%%gL~8j;6|#BU!LmswQ%MBa+@*2WO9w
zs6*UVvPANML4(n2U)RSqyV~w!;Q}OS)k7`aG^b=70YcIK*McDCk07vUp5MSj6P7tsR6l%Ua*kmHgIr-VzAzy-|S(Oa>ltrO8
zQz>eE*FQdjRMnMe=I6FDCw?)DPtAw{!u`=OV{AAj)G$IGJaoMYyuo`SL#z2#spR{k
z=$c~XEpv9@RBB3FYC+iN3W%O7ZB60>o
z5%6NnQVvIBPhr8WlSq?_>*e3I@A4Dtv^O{E!^SYouUME249B$;O*b-Kr=pRP6u`V@OIu(B!{k@-|D@&I2
z7$_3kxf`m(@9Fswz92Nt(jtKvrw98bN8yem1P}(9&yQ1kYQUzuDacgUH@Z23HtQcT
zn)z@6I*B=BTZkEE%D90KF>Y;A#dnjW(G~*w6o7=;h>SW?wA8(SZoN-$1Kq|O`*?C>
z)5}y2*)zJDcY^O5PaN9E`}<9oKmWHtj8X7LfAN8~;;uG$V;v8+PZp6ZZOxGW?X(2Z
zyyaCyEZ|n$s;`U*M`PbDGD^kh@VpAD%im#rqdd|?Mwb#37eWxpYzoTX3(H*Je#z?z
z=hB2c?>Rxn-J)AowCS<#LLh@tBWMp@RCd8-(jVCm(Oj?v*5igGsYN6kFL2gGf2L29
z2)lfD9$roXRJ>|fVKx-Dv-#*3SxM$@`>5UOJObr%!;%-pYf#~DLs82`r~yeCnx!f%
zXV{LAb7E0bVIh0@++0HrbZeB$XRs`KN>j7T2^=n1of%l)nYOdSa-|d8NSA?;FPh{wBW)Y-deI{u_HRU1U
z+)t|K7=)!v;Q3+%Y_U~BziPv@$iKib!J{v5I9o38)f$EeGP|W=n-*ez(%_#O@4=e5
zS)uA1FRA&SEI+MR`x&9Xb*VX9rvWlg4DW%TiuXQLP)9sGiZWiKi?#T>2lRS3BcTD!r+;t{Uxt|S^#buV1*T69BE^FAqe#Kq
z2G>^2*nf*rHwv;iHQC
z6wc$gK6nVz944R719Mk79pzQaV(*7`yQ?}jY{n#Ud$SAD#4m_S!)|3PlAjP*IiEQj
z^b!DB-~1^D%gN@dz4Ms{61gI15Jd8G0rkK)>bC`PQ+icxodb5S>+S28T^_-C!#UyX
z`RxMx!28TAO;jJ!z$&L9Ix`D85p6OFp
z?|MABBaI@|c0S*goeBQPC6la9=x81_SR|@sv^K^7^&pu|@_AL+-msQChUL%<{V
z4>Wc4Xlcj`cC(WEO>syH7akiK6K_?H`{>}mcfC5gwTWVErpc4u_105!T
zUw^k=jL8RME%UqZ_ndrkG^8V~ug)XiLqqaL&*%g4bF
zzjSbi76Hg@06UJJ?;`wS|7d{(nuNX8RQP@H_a%&(@J8iJ#hlDCc0{VT_MJrxhY5hCjw*TpLxrfS0_#|q*}VSJV037%kLQ~JoHm3ambzNW>vka
z``w%h`SfsQv0o1jZ5g0tw?lwSL~22aexjK_*!54Nx>C@NCP}F(B;Zf8Hs{Fffc6g1
zGvpWQH(xNAYsfTFZT@KAA?#sK1ftavs1oU*N?;Y@*cm$5UOq`h08N8is6={Na(7qf
z!~BfiJv8`2aoUiz%+B~v>KvXX-kqzT)!c)&8~cGL5ZH+6un$5>N-J_)r({7Ba}$aH
zoVj9$WhW^ZyJ~HCPq3MQyd|pB##+>Ig>~Ua87{zs7FyO2yuRXO@nE^3V1iTOZLwjl
zyLrYO9L=_F8q_GDRGaddXh*wsZ3T>QqYIWTd=qyB`blgUL2036*#d`HX@(%^H$itE
zdsUIh6-f`b2an}n5AjDck_1f4){lyu$v=u%muLbK`qJrU8|eaN&-`~_%rcieDrSHW
zq*%^X88<%m;OV`y=zS-FwK4XJada)VG6C?d?d6O17e`f8D2;jtpI7-_ogTLi8Y5M2
z2mq-?stQLZQxgd5E5gxjWix~1*h8_KXYNc0e&x_pmoM7@o&r{dv*kN9O~1|{mrDl>
zh*5X;J{Sj66}!tth3h8q8Q_XpM@a08gp7dP-~E5m8N-|)NXPYu1SV$J-S6fX(t+p)
zYRR=s_-|o_a7qjvao2en3XH2pb7U-Rr8a|LkCH3HRN&jW_Qn{X^;jl(r(y%#m58qI
zIBXIsqEz2tfF8AAN~4GWvGngQ9y`bC#zTPwYuJom^PDFzNlAnN*_~pm=0Nx$F&5N5
z_^4FF1ElRMM)j=};fn1gWWQZ5sv&JOmel-p+Bk*n@cc+wzPcPCr$bpmzuT>Jo6vXl
zJl)B?4N)}}0}0628ki4m81sKT8I`oj7(a#{YXGU+
zjl_AVKR7OU8uoNhNW}w7A-IPO6hTwKcjn^M(uB(nJD6v#-Mxq+*lZG4LqN93W!QY+
zf<`}vw{H-Pw%Nk;d?lSEmMX}ewl-E8F%tj=GflUv;sY-b^r)xQ{kryyxdbFv`g(=^
zm)Xh5tz;56{q@7tPzWUKh!yXMB6B-3h8pMmg+aA0%l4jaDMa$*w}<9DV*yOhr|_vr
zG2PsV+!xDDaSea0Dcn^ijTIh6l(c>L!mb6r=Jx{rs_K03K5+RL(f2T1(zazihI38O
zR{vD2Icu9IaW9Ai^gaA%i$NAokwGZB*L{cfVt@#J!yFJwWAf4-M4&6wGR$$|`{nT^
zB029^Cj9*qxl`MjsW400QFWi8VB2M^;Jj!e;KYw$d5}Xo(?&7Tw1NG79XHJn&DhIK
zWjR2CIRr_mb;WdBtZ`&I-LL7&uGy&Rt10MIR=y;jcx!jg@O$>@YXfedC)(Y760A-W%zGvIu8tiQWJ~ElTh9VYlC0^!9>D>O_MyctbaiA2hxCU=G
zDuPTisVeqf*h@zd1;i!DWCfWYfiZF$>V*9w7IHDzq6u1X|H|BH
zX~6E`ito)e@#o;oa&I9bi3{4ukCQ^HIDnM
z1rh+&Qvg6YI+-SgmSRUcAt=krzi^gmIyIs|HR3(~ioN;s?pg%yGs;_fh!gd*@*ZaF
zPn5{O@??uCP!;lh1Iu9(SjS-_Jrk;mhFliuEr$3>_aoPNG?IpeuOt?`vXvvU&DNig
z+Hf{kK8@K0BC&(n&LBbgEX-+TaA2jQ>T*V;*%<*YJKG`ybo*10UI5WeA=GV*jP=h9
zb}mL#dkXenV`$f*3mq@)EB{f>K~tRB`s#rROZrs%+1scxpjVa$tmeavE_Z6IxqzaZ
z2E2+QUOq`tOjGR_qb*boDE?q?OQ+cw-|crVw2pojn)*^q^Nhp?As;twR8LU`(9cl$
z`=qiwp+=AI)2Qh@M4UYi+6*>yH77N?*5*^ZA!V{39#_kvkHD$D)=+%f37gh1aA8bV9C&-R#TAD-qGwg-Ogq9snLvikd9{Jq*r
z?b^X^zDHF9(Wm?K%V5irvJi5sF2JA18s!1o>pzwSzUo~W5k@QSuizqFHLkWHG6t4E
z-A<=@OAgOki;WLfs8V1RyfjECqgJxcyO%3NDDR#%)E`Ccn->gtY={)oyUx3ea*Fs`
zCSoIIr8Oy!o1jYXFxlNzF9zKH>nB@V9
zD8L5MI{bkLcnmi-*u$p|QSBKFNtfA(*rki~p}NMM8W}#0L71mO|)_x;RgOeH89$U($xC)F;*3
z6YMt5+7TgRxhx~d6Saf`n|Amv8<;(OPDdZ?gy!tX=4}34B+$K1vTy<3*)IFTcceO?
z3eCJaJ4m0oND(iRrlnNz0Tw{urwg?*L{UTurbxw3J`j-f)_kLiR_VWckpch!`Pl9Q
zUd#{TG6j`quUoWenR}DcB4c$!}$5b8vS|{@<*v}x~kB-l|{`e2$NXu9N>*<~89Y_0}M}MxhrG7iP3M`X8Ou`Ez
zbW#F-LtF|l67F%Fng^Iq4+TxXf6VKyd!_zQQGlB`+lJ8{5$Le_x)7g$to-Peutd=7U4Afq
zum(fR7oCnR)
zWjgSu_87mSr}CCdbbI48AO7GfxRijusPmesVd;-0qsL%JKo_uBgnpvsc(+UJ1Rzsy
zkMDdY829?fNLM+zYo*Q97XY*YhmJ^ng_$&pLd;qjXQ{XiqBJO}?W?PH#GnFt4Li}E
zm05qMWgP76YN@EY^slQpD1GrxvLw@_3Qz!c*_-nONy)Ymd%L0VluYyNmXa2qIz=EM
z6m9DwZw|>ou5-^MN!`1C2Gh;1K@eA$8pV8b4;EvCF_Co`&}k1+wC`ZhNEo62L{^;}
zgy1(275M@KSc3B~&;{*u#}(iZiP^Y;5BeFC?y`!#FKs?Osp)QlE8#a+-+;rAb;*mR
zYdel(rl~eEy4!7+xzY-_A-rVjjus#uQ2(C8-8Vt_-M(l9vnc!s5AaYZ
zGn6bEHscHm+QMG)(L%*;L;>?3qG6}d
zZ_pX>PYwyue)BQd{7
zMF{kbneP`m25(F4vfx({m
zhuZS9!%YfN>Ix>Huc(XIb!Cj5RJkn!E*vf#*qPi|!^j#S&&UbcK~Zi-b-1L=MSzfo
z@lUf=vXo?U5dTmfm6`*NIH>%mevYvJVjdeF3ONcfWT0P1C-FhUl_sXa{$eYu>7=nP!e<^y8FKCZ1bJg3k#_zIn
z^=0IF6)IK$0_Z|G-E+A$J6h8Mnhj1BND!hk>wpjHWo75|JccsxT_!?`TTKD`9BL{)
zAIAJpSdD#ngR}Sl|7OGIYR{*Nq#C-vsnkSPn2Psi-h+*yV`@HaK0TE1r7PA1UlpAM
z9c#NdI^q|9mk+26$l}?VO}KzG0hDqJ&fGc7KeOf7uX+hM0^C=OmtCN{U?;(`y5EBA
z`RlSx(fvFE;hwQi+1;Czt!t5&t?1+_YZZwFFz|zdw%!n?peh2eo9He!&J7H-k4XeCuEw
z=%yWZXQ1B#XxAvh=Ub?{#Pdko?!Uxb8^JpVI8g(`qr?7;@)XF8Al$zz-RUn~Q
z_tldlRg3bG0;Dd$PSMB7_64~iYKJ=Ch%BXrbjM@T6|(7o*UcEBb=UvY+-S!Z)-;{RSQ|7`+H+J)Tk-XF
z?g~PhjADdC~Gly#on6(MJjp7-)%>5o}%;MYC#
zhbQ|`o{3O)z{4uF*qZ}$!acUPg)E?m#?X}iz%0q7!RbdD;trB!tiVw@jB4j(u2fnA
z-*qLaBqra{u2~MTjg=b8Bol;;?6LSCM1%+aZ*wnb-yYUt>=gm!@)al{T!~NN+o+?0
zPS^--7;A1mz;+@te+(+T20R4r^G_1<6#?sTMMT90J?X?~&G3_eq=lOw0Ksq1HF*q)
z+di6M6!_nBTmm!?Yo`E;8URN_7}N&ed{ANp%Q|o5$X&$bv{dPkbF?S38gn~C?Oq?V
z^Xa#gmJ{|60TK7eal=kx-eD4+r0^F_9%|QTAp*|3CAoi%XivZ^1NW}IFC~b;OKcnO
zZ!e}kOex<quY$!6dBl6ZDb$=;w#Nz-^%R
zq2-c_wjythMhT1$on92!94e25G1-sm=!CPVlGao9p}zl!-30_T*y`!mp0)o(bdRRH
z9j=l9Pa^2=aT21Kk|egMVD`yj1cN{)PT$k=8w=r^y_TK_Us?g@w*z(xw45UO^m<$P
zNEoJ|+}!8^u$pYP(m42KQlgoDoHOBTgzPz6<=K+r=*!^57%^G9=V;z&yr7Y|4dowk
zRE8cM`4ic}t^QnZw`E9QC({puKqTaumGObwCqPKS=kC$u6}{{W$w^sbX+ro0glny2
zPtsKF38I=Cn?rJ0Z*94K5v+|rt&KAf38)O%d^-P(wnID*w?!kv8$PnPMY9kjt~bin
zN8qrCO+ME|tGWBCy2&M|H08Xhy}4)9tkTTmkDZ-3w@PFLopeOXDZd^^JjG+;C446k
z$J~!B7xe7Csai*ntR8Al+L~3K*AnYrot}q=6`L8CF}=z>lZ)E>
zJC!@*%P~X|?qbC|+m6tt-5u!n!%go=XP5GlO$cF8xwQ>PU50@o*EHiqGf)0RXNId^
z)?>TBtH&txat2q$;MiPKp?}34F7EE`TLUJrTHj?|hPaVo|BE`8X)jMt+kqr5_?KuW
zM@MseK9lb5lvPbd5_4GS#|LOO_}_WMkAeGI;ITVpGg+$rVHyH~Y+uYf@mN<$7P8ix
z{I-zY6fJ$uBf7D5X5UzRkqpIjOnZ*c@vijk2d&(&mBy(z*}{d{o9eCL15Ej~`Dec0
z?$*~r`fyvztA>o&H(r-QDm$wgwTq#Px^oC9X(hcN9DOu
z%PG9S1>b8!Aj74W>O1Pf;@OH8UK*K$*s;8sA0N+$A6}8L`Qc`_9cCwXcQ$^r&J*zM
z6|J8Z776FbQmfB-H!aM0!Xs7br3rLyy53_~C)0iGwKsIX@w|}7@AW5K+99ZD*jv_2
zmEBpZY_W}D+!8WERsQURt>Yon`%GU^SO%xfm7CUbTU5*5(Pn1k^lz)R-8=z})pPIu
zC)2CnwriXI9L)qY<-1W&nn*%Oz@rx7BC64}wzk4g@q@UoD;W8mPZCz%gX1-rrae4n
zEt9t!<{dQ|3F6+8fvrZP@SU{-wVbVIV~Y8~nH7eOrEP7-xG#2Cd!@
zA^VxwOAl}w;Jepj@v7qAEL?AC7(0|!w36GbqBSkQ_z>ka1`SRT4{@mni0gvwrRz6KkkJ*olIXfn7En;klc^?k^
z^UB@Et8;c$lS7%$*P;0V@$DAB3E-!ECG7r~tF=@d%_dc28~fyDdnc1Eep_|$n%1!2
zr+y&zA4}-OnQjDMjQ?wmcabp)(Nx?1?y~Q5Gi()m84rfyR-dT|5cig?{ob_xYb6?1
zs)|*1T^jPGz0JUFO6%LozZ3>HvUVJB1tbM@bH#E=s6e7p==170VeiPRZY
zK7HjHIpl^}IZ>S_r{hi}QsiSnX#KiWjD`KVc;_jZ#vO`!>RXvGL0*QIjXi5AVp)&P
zJ_T_Vsz(fc&j|w##oy|tM%JsXfFpnc`@25`(bIfb!!OiegP&Z4VluwC$hAEl%aU#F
zo+tz-Q#z5
zb}*N!7z@X3j67#8&BbAVKjOmARO8+e;cM&d?R9m^-CHOq&T7=qJX!etQNK`ph;2+`
zhKpp&;S`#uXxxSJQC}NX-MY*nk{4+ONZD)jT_PZ?cMe-87U$;X
zE*N$Yxlk3C2W);(xyl-R-**(T*zC3YeKTtueiUO`T3T?`z`MGy30^;;>M|T3Ukp=T
z-0N1p`3655X@7sew6c7aANroUotQadUH1uWAO_O$_|Qxdw-H$JX*(t0&R+a`rlMZ#7aZ=z`PK7af$jAT6jTlM7;0r!A0Ho&Zfs%s
zukcd}x%8?f$BM1AVyHx(mbVY9y<+j>dec;00Br-s<$T6G#s+$^Ki3{`Z(2p4Logfh
zum8!Ot>*UBHy?i+(*)nUlax}`%LGvYXU2hQ>`=<`px%KGC#D=v)v)2;Q9=K__>lBQEMA8t#VQ(*As-;#ck;TX|m(rUjJ!&dW>^1x7m33aAp<
z=hxY%b!A`2&}(N>albE3X6)IBuKaZ*_U-;-`J5Nyv@`eg^MzUY|YV$=p4k_|8!%bKj^->##qSdp}<`q#G|s{cu8g;I=GEENYQ)wBIMr4Eh7riV0y`GuoppR(W^DoUN2_-$v8HLuqEuI&7l`l>03vvuk|@hli_
z?aq~(>z>U!@Itm4euv60jNqrfBNP!5OERfxYUYFUZUe>}+wUAexvJ>4`Rg0xrSj=XZJVe`
zW)sEhuRlBsiNu!3+u$GmL|}b_ltUo0TV7Z1vij0twpNa(_3Z21{5<6Sv6+$Epx}?4
z(lP}hu<53o*L^e7YX|g)y$P+TYUN8_ktM-=1*?_cDEN6JhCGNecYp0)ChT5!}H(YWVhZK7U<3E~Nq+FT%CmR;Jc=vi9TBIa}CV
z$JdX8HU|1ipwS6Gme~(xX7#`~wZ<)7;KOvFL_%!aql)?M;05z3B7z#ubJ``t1Fjr&
znZAxj2!wBeSu*TP(D1uD{tu6DQM-BD4Epa99*G4aC}HpzE=Vjm1nlWzs;zcy5EjZK4uZu5IQmNvh{a9UJSA=sGQc^SxD6yp0}}VP8EkAfN1JVh4_e<
zsk|ijjp_=0c=E+0G`ap}d7uQKC(zgUL7yu4WyGgbJ-Z;bttK)dOVSkc^mKTskZ$K=
zV*=WWTC*N8rKc(EugykzJ1ZJ9bgNBq>6NdbP1x;
z-7O_8-C+O<2ugQIcXtW`(hbtx-3@nc{M|Fo9rv97efN!b#(8@<9AEbSe%D?x^E2mK
zQ+|p?Y1l+qze!UNzd7aPD5+$W@+fp}T~uJVy^=e1hkM88(57HeYBRtTo9Pj9_P)#b
zRhWghZ%v|jL2^irR#vcgo)}@1Rq=uyXZ(Qn7XEqE#jX=www}R3IHX%<
zB^_1e#RtWnq^dnaQYs0Vw9{uwM_!Zlg;nl~9J@+{jCYo2tqTN7S*uEmw(R}%mO5^j
zRpBjP)w;ey2Hv4mC)aD}GU~&7sG{QkrPaLKLc!skzn#FohNRrQ9
zh>t93+qdek7h;6TUIp5diMcy<`R%f5ZsPS&dy-4*l1Vd{Oe6vq-Nc&@hziq^pAb4G
z(9$NMl!;==FO&oi1F!Vdd}JG$659K(s!+mVb3>h?b&WeVnwJGZQL^QvTXz#>$1age
zi3HX9>=()IDkXRHJb%j6D^ZaB>0!eT(h+p11fV`ZBzm*S!#|5n`@=*8c*3o6^^te)
z>SuN5qzLvTzMAU3i94S2*p2rF|JK!w_zLUI-N)nszkZ1SY{}CkVTnI}h=}2<7o9}V
z)dzwf@!bge)pNi*nkSO7;LIHx%21Q@V}H|_K`ZHCD=S6p)FRGdl^t7qfEd5jNjkyt
zZtjYwI*D)(_1Bcmp7mX=+RMF2$EsdKX@+3g7&f8$bYW7f4-ERgvPmOgXl7rdc=uA3
z`TLKAw*vgTmo|t8UnO1rQv0YU0w+LYHgg5BV=6ZO_~f0
zocob9a9XA8{HHKn%gXPPt0Q?wca|+5Qxy!IWZR!kO%i*ey-kxhz2>Jfbq|T$Jha_zJjHbH$tB?&S7g^Aw|bM5G<#NGVjk*-sMmdox-Z$b(otWt
zL5Ig@FNv
zh$D4Vb#N*4Q+C3W*iJasBMt_+eGzC>3$!!A`Oq3+OdK_S1=
z7k68i#gQd(WmvB#ia^E!-&qv8CyoU|?i)xO}a+dOwQuaRoaT{hxwc?f__cY-8MEctwpm3^a!8jVpc;?PH}}(1
zg82@$QyWFKTx*k;$$a-Je=gb6#Qt6{_)#Bp$|Bg8(M{*d{Ysl%#dU$gkg<$r+xeTs
z=%Ipksd9rKNJda&cRhKfKV0NVNH5|c=?auu`m}Lc4phRU4W&P5Ge#=o(A0pQc2J~!
zN+pdEKP#SNR0|#IA4hR%54bryg;>eKKgU(A?so#hRsr#bi4=vSe&blzdz9$$KE#An
zH(>^;VwU0~t9%bunXdRa(#+8{k#N4?y-w3h>{~%Ic7oQ1O`_7RWD28xil^;~!iRsN
z)G|i9#%B+;u%7UqTK<$QKAi2!v+l<$7>-Nb;VoFz$5S(V_qSDvpi?ka
zgSo~+w;EOe2HxpvBp?UQ8Wy2e;P$wLc!NGKN(sD=|4BMR5<5nqrSo^(2U2$9l$E2T
zh1S$G=AMc~U)g1%TX#`1Y#^%uqxxaK$t>g3YT4}|^QQV6!mKPFC8nrJ51OlF+os0V
zDc^rJXz+WddMODOb;u6eN?0C|vFf~gLm~`zym%x_i$kB>A%S14UCkb=TEneeSXG(j&d+yA+$mC7&EBI6
z)mv!QHSOu2PX6l3rC-h{Q58$x3Gdv!o%1FEkcjRb$x-!ZU0Su6Q>$kM+X#!^K1T82
zIpgDiR)cgK^jv^Dam#PU_jbU$kF)8TlWjEEHUdO)^>7#*Tmh!g%mktiOi;Dtv
z*GkIiarK9YRyipT+|}Q~+8w3~;u&N46(pd5>%vDY(!ffEA(%7&2?tcp9#qHNT(_6*gK$}XqS4RG3P|A++U6}3*i^t
zq37%ByU*UGYGc_M-MG|`$a?kbz9=dCFi51QOq0cHwzmJQlYFmd?b$*h
z+D!-NJfV6ZMZu#im1l>>IA2_2KBVeArrMzs!KDbqpjgR=UWntJLu`23!R88UGnCtx
zR*Eu(?0Kx*j8h-R+jc$S*dgyCu<4~s)3%-TgkhvqVB_?2Lyi8M!k9mWA@Q;XcMo=q#o@p_vrUSqTM9S9gHTanMX6AUwgY@sx?8oy&Q!E5vk!<7|
z>f!?oXgnZn>+<=C^ZTr7#wDMTa03d36w(fsbyIL4^U)Cb`4YLMjtRBAXw#R9$QYz;
zuEH2XZq8OB560w?FRQxUSG!GaV|x@=-FMcD4MYzvr-Wx?Kr4)AC=qbC^uAiX}EV5qjuZUw>4M}e{egdsTTFjkl=tEKS
zZAl*hAKY3obh-nirZGzJ6BI`4$2#-R-rT7#L++`Qn_fgmKA;H4V0zB3^PnouKK%Pz
z#O=r}olpDBJ(z0pSeEbul)#JU(s{%4l=S)YgoHc*huy?w5g&Ty_;*fjTU_Mfagh&v
zI!L{um8kJhDi6w_18v5G1%3V(Eqa9GPQPm=^V8DMLF7K_BHrqei%aqTOc-^Z>BW+4Ud(@c%8T
z{70Smx3;X{Obxiytp@kkMobBOUdDRVPx{7
zO$guuaOxk21jM|y-1iuS4ui3QUS)l%xu;-Z#lcI$7l3OF4!|Oq#vFwQv=Xoa4jtIW-ZLJ|91Cq!XAvZSS;VUV3~d*{?Dx4~oOVSPqD^=`oZ
zFMnGUNtOInLr@AE*=f2#{iT%9@l`LZB)UguzfQ
z4M5v29K!YDn;51~0W!fdO=LtTv-%L5KruOgixc$GFg86~w%YeOiN!zp-~_
zsez8!P$523zDW+iaV!tO5q)^{6My-PR7{m*_>J7+Z9()MuN3i?d
z%MdD@>E4vp|A&qI5W=$ES`m4m+~2hsZ_@DFQYEj=dfc2*`q!6WAmr5
zNsrnLnEy>S^qa~urAR;wFvl}Qazo1v-4(|W7M(b}_cDsKocFY46etnVCeh+$O6OcS
z%A`$OB0N=ms-ND{>Zy3bnl@e#v=gw{khEIv1?m8Nzt`B-$cUx6z^LHCul2Up#XahN
zjn|mG>~lORs56}KTiVrpLrw#mH4RSg{g1g!rsqg
zDj+1PNjRU>-TBJQ)t#-P`_$=WPonvKL=pXVN6p>i;|q+jS{{g3DYcqkuP5m9aoT$F
zjG5U-(XT}ZsYUg6b!1#*1q5sKg)2Abf+~;Vd()K?ds5|mN|^rB><)@PJS@7cf9lX^
zkI**m9%~q!6ONQJNIuA0`}E2aq+e+6RlEe=g4iN^g@oS-=vQUPi`x2bJ&(Q<$8E2KalzWov%cHP?OmdQY#fc@@@3?(KM>g(d3&+8KP
zGa6i2S?Ps7=G$)SAoZBoc8AP+Iy>oYREYgL`YKN>U28N{EPG@iBP58)XdvztzAceS
zyB3yP=X_qIfi^L%v~?xDD@5x0nZ0Drt$kVh(i4z4~@ZRu8JL
z6e7we_a>(cm+4}9p+2%i?A95)G2hT@zQN*VslTr{9A0f?6hQ(uHMh8NEtfN$j|~Jm
zAx9%Uw~b55d-69edQW%v98x64q7Ga4wJ%cDXQ||0lOhngwXju|{j{c=BA-2R@+D{T$nP&TMg^kXzUltV
zWQ0RNQcZ0%s~%F2oSiF)^g4d<+h(d&I202l7ZzIoskdJG6N6)1q#@7Wk>9798o_Se
zxclmK#=gP#>A}Q;<1>1YPcwDkvFi3O*
z!T~OXsjL(!@4EH^IAyz~kNLBIq_{!{T>9PY_U}LuH%_RNrn2Fv7RlVcZ8=hAd(diK
z5o_McN&*!zW?Os2oDZZpPxdAcdJ8L_EoIwqWK5b1>3I!BE}iUjIcHgHwBS>X
zhC-l>?<~JI)&Un8zR#?Y`}+{RIs3;=IW}t2Iv06ty>Mfl_SQ6(N6M9S!%bg~tS@#}
z{oaMx-`4{hkXJh^!>OS0fvCOg9HtusN+vugx<^Jb78dmRAK&xwyXneXa=bH`uTgW^
zXsAd6l9jCANA;uHHtW*y51MtkVx>e`aT*I-2(o)VTteGQRXY~!z*cYA|4YsoHIC4$_YyDq6Mva}YxsuJZ`e_?5D9faf;$jJ1l
zH#|`j1D}kj>o`}0^!~#%bV#ge)XD8SI0#l;w{chtS~?oSrF7FsN=bn!xzyTmZD3kG
zG~w=-7yYW0cW97AMQR-7S#<+psv`Ppd(m?5Gb)9Sp&WFOc%M?O1O(R;D>yv$8eb&-#F8)XCA=G0Nrj
zU;)?BFl{!NvWsyWvf*TWw|+nIc^7+TJfUpwK&N+)e^&571bQZ`9!@eRy21E%!4yTVFV<`4;3uEkfl{(s}bUJnRo(qH)IBCygxZc&A8t(7N>l?w)H
zhoM{tb59Ui0rEHdjVm?Ko$s=3639X+v~3e~A<6~y`hpCH568x5Ri}OJjKVJ-r7hzxqJc=6M_UX&J(qCnrvz+aYS+
z+NsNZs6eHVqt&=$g5|bSwkhg3i8C6U(}xnI>RTjpWFcXmZbHYt&a7ajpZ103Y{u`W
z=iSh2{Iz@RPBg5r;&_o?PVPbMGok2;3a6|^M*{9pQ#SW)kpaWI;)x
zP;??v+uPf|mle}2EG+|!XuKzr5)yQBf=p=9CsX5x#8}s;(W>%Hr7CW6_k}ToyK5Vc%o2qvZafJIqnrt;|CxHp*lJ7$%?Xq?~~Dq0JyWnoXl#8mKVt9z}A
z1)YA;y+EFjVw@*Lb^T~x)6F>xkDxR)uVcCRVrM>@f=t)c`jg%44^d4bW|z?+hmdKw
zCE^^a%N;EIt{){OB}v-}4E#9A+g%hs0|cB`1nH-qiUh`SJa>@B1znMw^02@_N%HNA
zkckx`cI~g74~UVA-Z+bQZ>Ac}U}RBF;!0VPaDA|w%GqF+c#y$Rs#PdMzF{DCE5QmF
z;|J4p{IiaV$CIU!8TC>HgMO=>SV)aP6!Ax598^NjbdXvGq*ElXmZw1~rI}PD;2Q7z
z()T{JtF!noZgwB*2sT_O{yA1p8~=M9RKe%p8ILOw6TyWS0KH%8$z3F>0z-Hnl#h0uZo?=W0wIXQ1O(EOJFU$n$6qgU!Wbg1Ed4L`B77>T(zQ47=Y
ztml#8pzZ-YBunp{uUQ7-7Mm=QX|H}|OG_du{C^N*5|2+BzRxTv@
z3cGKd`R=5jR90?4@K^Si_-4R0BwBNN1)?<^5VfUvLkcMn3wgA#qZWA!aMb}p_!x@jF1H{HAVDV>OnUxqyqqazTm|0Or-S8^$YQYx77-)w2}5rV&oNA
ziz%w=97Uh`dphjE1sEi@v~p{Tqkf(4XliHu%e@1y_isjgu_;>!`N*6KTX90}V-7@2
zr$^4C)B^!N6Q_gZOF%e^YgKgRz0M=+>9P)!Ov5YH7kB#|LrE;E65Mmbr?
zvsB^I)F+jzeo45Z*5UmVikGct^a8WiNNh{1)NKdJ
z2Hs&F&DjC+_XDw+{2^Ox$Ly46bM6uRvOAYO9!!5En9*p2^dFKuP#2>OJ@7_VODR+S
zIOwjOmI@%b=?x;&&iJE#5Ef|Ija%rt`X1?6vnui$9d!r$@mEz|Vs@PH-E!xKBx|*V
z=#%H*P27(#Xi82{KnTmF|H}*(sxjfuyo!@7L?3$UPZQ-h?K}CO`K;KJNGoP0=1o9iC+NK2xd&O|0372xqi9R;=N(e)nYg#0!gT0x;|5%dO0?R4=4
zsDo$UR?40Oa{Fo@&|OB9P}LGY%*E2uulwG*%y9>3u{n<+UkD!1+Jn#_Eu9-mW{uQ_
zsFVt(+}2(-jtKIM=XS^a3q1X`58S#BgS^a+RRtp3u7`m?l_Ks(^)dJimP5wq#Q~?=d44g_N{95>K-0efgCK9xWr$i7Wm-5dj9@xd2*Y|Vd-7IEIHVi2t+1k
zWQYc83-~H3DG69Rs^>^R(#FGDQsMe>33P|>&wtm_C3LmA?|L8F
zP-02}d~_71pQ!iBkD+50VQ6&zOJ`OYmp
z8G&V^iVpd@2Ya{{L!RG*X-VI)l1Ek+%85u9}(OM`EObHrh@#W#*5%0aS0E9aNmKXP9BBG09(?lqyzCXqzRnVBZt
zlgMz1<~O5G%fSDUwr$5^ovEk_4eehH$a1KzWAIg0_fmBK!
z$7g0Gs)~{yCGBF!#4f+j;CynV;j>?nIeM~F=o^=sSy7TSo1U856~pK5=9pGquJYx@
z<5fBa0R+m@RtQ9vH8L{thw7PWhH4hwLOpa}JwytzBTzwcMk<1rWy>4>35A^q+Vt20
zl0rhBJ4^ks;4QxduuBr$(9U=vOK>|8Vo}5`FdT%j?)xsWCxoY9AW@v@x
zQJPF)J%9z*J2(Ijmh4STgX>K-*K4iOXK$_H&x$=IAKOv-VA_
z6Pf2&QhGYoE+#F%;UM*5Icrc;z;ZstCD_OJq&|rNc3L5uBe8YE=@!1KvPA?kzOz`2
zamVk37g=_RFq3_Mjcg#at~`u@eR|Qro^R(n;}r`G`?D7R*Udn(M0Z2pImd{vF%HQQyW5+;Gc~zc
z5WB0RH>SJwy)vt|nQ3bzyhVrgJSHLEYD>lHY30re7pcdg_vGHJ%}dIwcNh66z2Brf
zx#&Qu^Xs+Yo3sQj?`M9*e!U6v!M+882A?|yni+3>h4ZfSG&NI0{K;fqCfu46Cb>r-
zac@mSSbyiu%V0hu
zTn-yYN^I7D;NEn%J-?M_4CUPAL`A(voDPkE;(8~IYO1RN%B#EC*Vo$%+qyF9Etgg&
zCMKHEu${#Wu3fuES4zT;d-JkZVQ@hvCL83O@`cXX$|-Ags!U#B#BqSd@xY?C
zt}Z1m?ga)0hUy>FxF0`$SQT=ETp}W)qw82)#T5;q=Lgue
ztDeBw5Fb)M;EJZY%j27pni>!kl<47cJxDGOrj_e>OA2A*>FH@W)vVnMn_;M+?f36?
zP;8cyr)NzQuF+l1Gj1cwGM^P)
z9_nBBuY{=tmMDMx4JRh5_Sx?T%sREmDc@i^CZV+%O4;GsA
ztqhkUYEnj8nv{u2){jK27eHx7Ag`#NQJq{e1_r6hqiGsPDFFsY-o6YmXO+^K*@3FC0nrPi-QB+!*D$-R9`4~V8`It>
ztIdnJ9J#7vpvQj0!Q7mot4c|DP;YE;aWUlb$Q$^9nv6{C6cc8r)k7QinwWtB#mb(i
zjEvpdn5)zShPnNbyE=|X@9A95`hueLzWCSPajE_Ok8_g6a+l}tL(Es_&u{`%)x_(6
z>?3*HYlMFvdOrEb;8iyza`}7fzqc{v&y^G|6(q#Ob)zy_pVW>QnBwxS&4Eldz
zb)m|WTD2@GfI?2tx3jZz3slB_@yoS@>T2HOMYU63B3NE?K_Q_{^RHtfNDKz{fx))m
zuBel^u`zXo|IDTvF_5jezW%#gPKYdFuT}|7w56lRvUh;1I
z0}-;5%frKC1Dd3QMV_(VWUky7K}5AvhQ#U1^Hl3WO0WV&?GG9@Ymz2EQ
zr-~K^ky2ujP$GfrXlTfQM81FjK2yy8=GRs3zROI`a#c9!HGhc6x<--6FkFGT{W`gv
ztE+-r_kAk<-ul;6RZpotCx>1mE+X=^HHteE_!W=U?8S{6H$quVe?WM6wu4JwUtd~Y
zJ_+_j^T2ong@wD*6mtE)fA5&au7tSzHcYsX@5aW)eGH5q;|K!hBU4t~o3NOC5CJl@
zRwHoS`tGzDHu@IE4)Vk?XrY4ucIv^K04la;vt9`|9w|$H#OL;QW2ym(47=UH>791G
z+g6d7lOu`5_x1FW$tft1C_5<#k6fLW&To(SO7dtX2CZe}fr7SJ;-@JL_A0D38pQ~$dw70G@LXv&MaKz9$W_NEw
z*%%394iuVXaPtu%u`^YKn$rKOV7VlS0X0k`>#m#V`$f6zvv
zSXA$PS0YHQIApKm`1m;WU|wF{Ti7gl0Iy8dsBzN+JJQ43JJ7;DwCU5Qiy*aA%gU4+
z8XAo2%j~vOmaIyN=6`>Gg7`m%OuN^PM8jEPdV6I>BG`IjN8`E8S#TR$TV)j#LYg)p
z&=01M&_O--Nz8Opkip7OvGL&DwkmZjHzX|qB3^yk`|(0Sd2nz567c|mef^qgIr`nv
zDordmfXg!j12F|8ffd}fznF}|?$^Y`D5n9VeMnKrw_a6U9xj!G@~nv0F!+@_J3nD1
zuQaZe`_@`{WO$RW?z(}I(el>eNJAGBmtCDw-y4#NMRp>W_RNb{u28_DNF|E)?5$7A
zsH$ebWDLg|nG6-hK-1u+DJkY?eL-9zP>w3aX8ef%*Vx#&1vOHUT!0y-mX?--S{kPq
zc+PpWR>Nkw;J>lC2{Cib+})pB^Ib@zpcD!QNjYKiiT+VJaxyXj6O)s}jd*MpuMwHj
zIbA8_>=zZ4nUh0*1B;di+38s4Ly-CH+if7*{d(d;8if{brRjcW9uIBwz=&6
z;lp`QkYq$eFDPWw+6ybTsi62-QhYpr5RICwgv9qjreDmo$SaWLu69M+h7$$KYs`KX
zuIBa|3W|yKHHR=f(`m-K@sRQL^XJcz7%3<@e?PxiU*EgOV1akRsSv$z^n`
zvGoFQ)3|%UUqd47V%*1ha5RioZa<^NocQsIb*0q1cUj)}oGFcsg63gAemt(NtHFOtR~&o!%a;l2TL492!zaGEE?SE1QTA;ckAWqey>$Kd6na
zv7a9?aB(T&EkFkGiHQc_v-`$DE=36kHgQ33cZ5~YRR8R`ik@L}g$28#fyHF^k?Cav
zQ>9;hhoD^XY0+z%b!b#dx{Z!q&Rt+cPIpk_#Pc^Mxs6GsIJGg2oc9pHVJqpT@%kX;
z4xAjLmIC(KauI>kUJUqZiC}>WlpH@CjA(3XdOGZ6hK-5YyF8l94ecJW`(QI94AZw}
z97C{;y6KCqIw>jXHzF$4vOn=x`i5b2eqmv$?d{^nQzYEQ22Z~4U9RZvmKG?~gjR2u
zvu5WQ;AmH^?dhUyIf9-2$b$5XL?5%v-d<
zzAZ7E_7Eyw?8`J5t9n24K+VRc=;hakPX!JjLaNdzD02@+Xrb5{Pox5Gd95Cg7$P5EK+NQxN4i9nOrhB7ReO77i1(OxGl@{lXONBO;Hc_VwbIO6A)uPvH^RX)U
zLHqIm3nJEDMGZDdcHhO4DKzw9kXdUYa%7Hkp;P6_3?j^-=b!^DW}2~c4^8>_J|Y4R1Po#p
zJ76?_vDtA1YXCSc5Mg6!fDXC<21o(nr{ABW-PqF7Dt1GTersLIL)
zBA^9LH?H-@bpD?&AbYM6R$aL1&gW~-+*2^X6;ool7`T55XoY8*AaJbC2Yw6q$
zHdh_$JjYnGp)<%jyg)reLw}1ywDj2B9`;E?
zX(ve5@r~P@Z4)vhFi?l13Q{sN<&2EdiRRbFYkVt0Com%ra+CH$j;jKK(G|TwfPoQT
zk8dvw2XFZe8}|V|TH=U1F;CFZ(J|8oEtwQHgDQL~@PI~@F^b+AV}0AF@?<*`Nw0wP
zm#MCwk3r&twE}>l2m%#QQHg-KSuh>?Vx&Iz)#`zr4^68!$>p0Xj^&nAfuA#JzCr(K
zZPwHUI>C-$Uvitn?QjBbbC}I-Q^tQ{;*EgXSAntc{9g_Idw@2SfhF2vJZ~MycL;t8
z>HH20PixUggYCz6Yhyo+t*M?yo^%x8m?>_${cf?Mw-n!KX5`w6~=rTc~o7?4}jp64G$Eo@GJx}S?J(M
zUE^%GsE9rqedYF83T47oX_gvF?T>FIB
z?8^yaQ5oQ|W8A<0+E-Fas?@RhgqVwKWQjU5A|f5+b+8x-$V(*S@OZz?Igp4-r6liF
z{o}|J&<8Q^FI-sw@&^Neq5jJ|7F_TLqQLhh7ofiI!urbkvQl`1qRH0>JP!71gE)0l
zQ(EOm8%UXJ<>b^I=A};0(5{Bqz}71KFDHwlxDC_RH`GNJ7RYI^ySj
zW$?Cx{x+usnu$II7l2z2E_o*=0kd|&%SWgbRlt9EboP
zT+wg3Lj-={n?93!0)B$esdSw`_;K~+Qyo_bq7B6S#fn(mwSXW7NdAeG#_Pn58P5V{
z58v$z70tt0-y?p0I&b@k%@)G(W=eia`w#6n*Gqq4IqyH2XT7I(-<;>zau{#%_Z6AP
zLGKse*F41~{1n1K*7!u8+~84-S2DA4$yJkjq7F{Wolx=D3FXJD4Yhg6u=wOvS7mO^
zhQzHRzov}A#9@OOgY4S6+O^@ixnnD9T+d_=g`pOc;wyiJmXypUZu@3G&RLrDXoKSK
zC8*h$48r>R>-#%cr2pLZ9#&@yA=YZkbaC=p#qh*49e2uQY#o
z%6y~SoG&WFN21uY^x+>tY@X})dxoZ`6Pa_>a_=SdUH1%wLO;8S6q@s~%XeFr=V@?A
z8>FTO)fckQ?E9vAF3=Q~>gW#A#em4v*cAb}V5stn($N$PVj_tvHP^-4jw
z4EL~8TTH&0AUXh0wGN7{t*Hynfkx)1A71#q`@ME8Y(SD=vv^C?u;{x}xIYE#y
zB}Ud@$eL$7O7bZ$E-*179E_}B1M&545U_K=A*h*$6!Sf-0pk*uH<5QSyN?klRU4dC
zOAPMgU`AtbJ|F*;T?P`Mw3lbdc<71qKktJGfO0oKybDniRWXyQ5n=tk100Sa=5UO_
z;lME81m`Ksm?iJo~(88%pN=S(&QO7V|y131X11sJJ?`K`2t-^@g_2Fo0+DE
z4Q$e@e+56J*CQjyMPc2ZCxM`GhXX8ZpcAQ=W}MiJG7vb7fDaIXWHH#Ah(dz*q+rKZ
zD15(T4)&j`+`erpxuFS;Um%aVEE~{M^Ns2aCMNv~!?i
z!{Jy~Phmm9%F&e5_USH<=R;@AD?Pz%P8$K7s4db$hfj$=I&Jtnu4MA^>Q>#hR;4b2
z`B6B3
zuj2er!zpVXe#;(iM;jAaJv0GnE;R-IsBHgh^~#c>|D3@S%o&^#!xe`$m~W`wzomZn
z({m1l8tdo5gM$i7D=R@5thl{hrmwHh#?n$&U0q!vdsu<>b8zQEuxxtSeY?9ynm5Uy
zMVCjkqOTO?BIriF=gwx|%p6^wZ6nXm>l;tnxz}*$PvBd%>klp_i!b6E&lkCc4K9WK
z_k~&H=gyaeHSgcTDZD*!odTG8yC1G3H%2d|eT__Yw0exK{QL~d%ge#;Xt91)1%d(b
zfRM~Lb`8Y;)E4E9=5Zi`6*8mtPR|+86=`2SLM!8?Wp>|C2z;b-aqUAdHH!0u?JfDIC{%@#0}M
znujQT-8g$zx4p^%(PKdoBD1*fX;H3ISX^x9?ylL>)1zx(Fp5IemQ576)ac&}5qLa@
zvr^hgH@v&hd05l$s~q&iG_^V@Az|3AxS?vXY;;u9f-f$H-iQA5hundO|FH+^sJf|;
z#Bb+ae0==1if~E(e-8%2RlL>4V@@gCNhf;YSg`RhTp#Ih7Qy|!pU@rB;6NOF;P#OU
zB%vQ87M|wWnF0&Yj~IB&WJ(8KU+v~B9vK>n3a1s#itsx~=W_b|l=+}E!dKA(4$|c9^%HQVFSw~x`{xZeu=Y!#{H!2m7k*9BfY)7MKeb$gXvz#y4g&y
ztx75?XVfCMLfYNVHmlcrj4sO>FAs~aTrV*6T%@>IfL)pmuY&;QkKRT%EIQ~loDzg|
z=qAiNyK*Ge(TkKoI9I!7L)<^d!j6KXk%wCI~09)+!mmQ5tTeV5nT?
zF1j@!emtFC?01-7yIxf1Gk3Hz--cS#Zkjw0Y2%6RvlQLpIVYgL<$moWwLfdd3O6S3
zK~Q?;u2{ine^?XA<7`#>^rH_F|2##+`S*L~)z2yCf5O+-xKs5XWRv)xv_)lb`|XB^
zyxuYHuihN(6P_z*LghCN0UdT<>Wy7P8Vg$XM;P%E?bt=|>-V^rj@O|iAuFdE>4uUSAE%MX>2$YYl&$GEIq
z72h>=)cG>3*n7J{y9s^PGQ4FOp_$ER%hFC{`q)bD8}y)o{>Q_3{Y!HC83k9
zf$+VlDKj@)M2pq7=iw&r4-@Cl%+XlSMGu8v2|Mi=I@0{%l{m~*SuIbwC}=$GbGp9a
z{3>MG)8$U5M|*TiWX_axsnlmw2d#S~IxoA2xqQHs_39k%}aFm+BizjShH)
zrJCP^`asnTqG|~llt$IWsJ!5O;#luDSs9i3*y>~rD^f!gz3^;niwp{5Xyb8PPV!ib
zxLk<{Xy9Ptwl=P~XvV|oSEvYAPGUexhVuSj^vyNTblN!L-syO%LBd*$PDfj3i)@R8VdbjG_j!-$d<0Yb`2yF;w8`(l%uBoF14
zID@_p<}i0*T;^g7;|-{ytfU0U035cKwsv5H2-GnEVuRvv^s=X}jtA>sBZQ65
zys{%8uLLWZ!jo&zy5r8Dpqs9YrJCIX42M;9fj1>($MTEjL-)e)Z2}h_Yh1|-X$Uto
zvZFhmq2-g?rCzEzU+$B;jPe`^1(!Qk4D+8x&aRKEy!f*$0*=?KO8D*d9;;V%@D3+9
z|NW%LiOQq%m_+K31bEpS$;(~NiCpwQ5en@{N*$O*>!#nfR#Rik-pw1Q7gtgP7-=9c
zK?SVmb*UXrsr&`q37c<;CY)Z`qxYyC
z{JYex)&L|g+|hvq{&wf)cidB9j!9pWMUQ*pJT^eN0wDr|xQ=&;Gx1l`41GsJ9J_O_
zs4CBF>$BzE^@Dkgj
zQ?i5QRAg9!BX)waW(CxmMhD5aZL59IcP?bcrFNK;L!CBFS)A+Ny5*NAzm5jliBZtp7x%lX99pR%1EAH`
z)w%}niNOi+g<+A(_ArpRoM|r2ZM~|q7-?)cqG7;mC>pkqiY0cT9q2teHdxrcIGNbC
z=qqwM^v_;rRmwKbO0e*{+WEQbPYv|L`Hm6)XKYFSus0DFI(b_8()tOzAOn5>bRmeJ
z&HJ-Ob)yvVja%;fuK7IyHqm35M)3_=x($AR@s)n+6t0fY3SYzhIVUN@n@KSa?hSK2
z30z2R?@H%AZc#
zuk~$5Pn0YK3=1&!bWAQE?J*~Wg
zVEmk>&Z3oV@>VK<6?IyZuzo?*@O{PBCwaUWTEPQh1Z3und|e=YuH))u`lcqO^@FL+<>1s)hGe6
z-UgV%j}clUsk%dY_iyTxj>*TH1djBWpfx(Z>jY$fp`0p^H#KEVQ!?!4YX(Ye28Jh;
z*!ZdRIjpz?Bp9C+WMbT4mXF2QDvwFxDE?l8ay;w>|K12evSj~&o5S!z{PzUX7{{5D
zicKI1BZCgZZGOEWH6a-P<9tUhLTvA&-`?kx9Q_CDzgpgTEsM_Of{#ftbqD3y4d~*x
zC*3>=ypaJ~qXo(WB&MPDKyNNzxuoP4^Oi;LZEo9cZlGd%(sy$l>ksi8HhqN;4pYyD
z(Z}fF>N9LeF~AFYLhu(tH86p#$nbl)=t+k)5IJ)^<3x0DNoZwXNXPwDDcQ2le!T^K
zAuaCpo2-vsUfx$^i4_1aTum4q@B$cMGg~?eC$%AhlNyfJ=T`-qM$t>jaI810+T2feMDGO-l#M&T58529eOPvjuky%>7f{RYYr1zW}Z
z1>MBMt3bpS$PfD>%A-*ts+j27%Y^Fxz_JIcH-nwQBv#R0B*
zhxun-q5@%i-hbAh95lW%AnPW{i46g~2r_#aXoRMUlJo`GZ9PxQ@))LG;SmH6L;
zAgH1vRt=mVl=Ju7l-NR#__V+Ka3|CXurjp@7ZC(pT!s6Y0ATCqlDOZ%brt^BECh?O
zg|wvW(>I2%BbiCk44f9WOOxLp6p%qsA4bozJAAKUJ%4%GNd{5cfJfeUb&~Hc$vEFf
zWFh6OxVY-YS@?gp2tmfLF+u+(g=7Q9vA$)bsax1#yH4y)!9419)@zWWfhzlQjax%Q
z$CX*TY$z-0whTgq6oK+d6zA|4_44@5$rjjfE$#PlL(40A-?r)g4~K_;)pP}Gga)%s
z)E;mRNGW_gF>_qsWjr5Cevi37|AQ+8r^f92chZtsj4eswk(Qi^RSOYu``6y}Zu?ZP
zyPf$*MpemxA{If}|C#oP?cW3NOlIrfH>bqMdVU+@0e`(GuIqBm>~_%{P2_CjBTwR|
zNJ=hPT}q0|UJTqTLnal*-qv6A)6$xElOf!G%H9|lp$mNu!C2R$@bst5cQNn+e^~hT3D
z?h;eLyD)HfuId=e)}AQr=;2+w$6x)P%V38~>3V169Ma$Rcn^!x&~dLgm`PM9)(R}K
ztmE_t`Czr^PF}K5^1aPgYLKcb;!{g`L=@t^$HgMWFPvS^q6Lq;OlQa@-$I(qe>j>-
zQ{APgvoRLxrc}F@YJ{N(oNy&)%wfsdHe7&N1xA@OkQm
zKG%%JEBoC^(^QvFqZ$m?3)Lk=>t{tqeM)fCbqPFvlM#=PJc^oMxYcY9Sd_mnkd942
z@J2oXYvUh{LvfsG$S*D)%_}!l|HRu)iK3dhz_Dh!vBBFH>0ist9o+pBMYD7(q1-(4
z;X^DGmwgJ}!rpP>Nq1Ls^{$vx&rA2e&iQy;SCZg4mO!Kal=@ai6GKbk>u%U~)9FiC
z`_g^(W@m4EiRr7)m)xCouKLrMFV%jBBeT%s+0aTh%I`hKib)}N%wa%mc6FVunXOcM
zb`iHK&)>Zrqhsd)>RCKF^NO2Wa}n>}B=s2ix@GV4y{|dji^H*14M~%;K~>y(-X(N3tbCHS7X3sbs!io(HOf^c$t%G>$ooTGbN@>B}U+Q
zEc(XT+fA(`(~@8Jo-!@@CHR^>Ud+s!b~$rbHn^kt`|XZ@{r4rVP0{$lj?XL<{w7XW
z_e=?6EQ^%xHD;TLjtJ8%!ywk)BMC_#9lTWSqV;ZpKG(Kq6U8StFPYqovB9>yKB`U6
zyt22KxHN@i_tf>fSKOX3{N{0L>V;3hAUgY}Lfqv3&k8NS=hhSCBJMUCuE^|Ho_ztG
z3UTqUs3?yHHt%7?^6Oyp0@t>-`n>GvuHb9jlV!rRUHO9VF)}W>?}k%gSn6?`GajB!
z=YVfQ3&1%NU}2|X?PrVzhH$l|bS#e16$#o3-S=lZD*a%rUU$WyaqjDI%u$1r!s##t
z!mvuSuZ~Yqdhn6@>bufH3htZVKT=jo$P?#1((WNy^w0>^bS*0Dk4C^O>~@!;zm~W8
zDkqqvV5g@1$2Q`6ncNx7fhTE>
zQZ9s}{@dYhcaPeohD;FQU2uZbuZz<#5RuU6_iWrJveei2e_WlECK1nw@ZB(*oSvR`@q7?F48Ux*|K+m(*xY&F
z+)4+H(?JvVRHB5hE}+r;)9Ei($;@TYC+M0$%c{`?02!*rEpH$H$vL4Aq`%a=4aFebz{^Y^PzkMl1
zscKM9EG~Q!w#Th8831!fXv)>3AOzjrJt)jKk2tM+NZoYnycm<-Od
zwK?J<*8emXgY%m*YZiu8V1pXy=m(e4inB=f$xZyMZai{!I-p2j=%JL!)
zHx3Cx78e&yim~zSO-!T$On$f<6c!a-_ja#(cpfC(W{4+WDIxJ}uHQrKk%}StXzP@R
z7WsYgNNvxW{jOKcX0~%@S+&$Z-|f6U^|!hp!4t>`xh!6#Z82j5x|-b`-?a2cYiQ(h
zDhqq2iQX=P904=ft+Yq&eOW3Z8C$pBuPGDqQ?soLHKCe3+d6pqGb>Wb7NB7q4+br_o3)T(}4yh4?ABF==^vC+$SFb3m!g;MIJ8GPUS#3{Zvn3I?
z*4Y#qW4Ig5g_AznZ54KfOV<(g44hA?y@x&DyNm9NxOw{tb|5Ty;qA$H&2fVA|JrKTSz9&pc+wTCA&HC(OI`A3;8sxyCHS)I5W{ukADey%a
z=1vdyrgd=^|Gde`DhjP8vfgl)do_mca+&|o9d4rksUo*wyUTiW-gHG^@f#g-b0a=vylWo=pyv=;+_7j?aLPS+9Y%%e$i$Zdrf0@J$GV}Jyp?!
zvPGXN_+uY_49Y2=Tip%fvOKp4cS}+T4*?m^v&6~*xda!1Y$39tQSe9ZlATi0el~~h
zYdMA8_N2PX?ppMYT-3(ll2sBANqk!&zwCF8TNOw3pYBkq;O(G$jcj~h-`RG)TYk-v
zSgNV>>QA(|&Q5;@+xllE{dem500P-z}M;?>1Y~2311hObz;j8>`&!URGZPB(A
zS;zL_J!w1;VJ04#X*Kr^u|EyrdJ)VOiVU(8T;}j7E7+UJODywv@U8n!FuREObW^5J
zRo>_V-lNRIDRKY2uTLjO&coQ}*p7-e*^l*gPKT=!O*eyt?*>HOmKE?-x_hFiC;oIJ
z#Cn^H$|B`{?n(F9yb5@!KKs&mw!Fa4F(a^dM$6u^5dH3YUQNB
zVxd=?#(q%@-H$WdJ-xmfT|b_tbYz(Jp~mY$tz8zqeWz#ao@wYyv4&vf1k8~-wu6PL
z3_pcV#PV38*4`@=|2gOKRzjy3wMDC4`P!Ybhr|_ecNTcg5`*B&gnYyA<_>zzfqGSo
zDQn5EafRkD3GbntU#>BLQfai`&cXf2^#nWVrHAdWI^c8-FVI4jr}{d;>5M9AgNO!F
z$JJ4E`9wv~K?(WKab53%aj%?6Ht_apTg#W#&P}g@_YWkbrNQwI&jvBqA$I?cN)K$D
z>eAjoR`(*}2w@&}tnF2qH{I2J3Y7&`$5QeC)C@n&zrj{zY_l}^^Wq&}py``)jXM92czz8Rnnd6NB_yi4B_apJ#_?cQ-
zBK1b)=uBPy)acgdBzMG_PR-)x-Q3BSNm@#QNpJgY
zat&-Y2frRQ2=kA0477s?*K;Y949xSgRcq<_`cD2__p_GAWqWFxyA6G?s%uu~Dj}K@
zdIJ5sc_GQjla$G
z-R`@0rl`|yH15J#iA<#8kFI@~muq*!-~)dEOJ9?CX6E+d)K4Lh3=5of{Nm3AnzSnm
zk%JOC&l0uAt283MRrf~_^iMAUJalqHZ!{6TmZc@`V>uW7+^0qDXfQ0wr0j-X
zO2T=rLeI|f9Ti=1!x6k{-AXz^rq&W7mLs|7aabZU0U;ph;j88v_}RseN<`N=eHjuE
zva;Fs=F{~r_*RbUj^vB&6mT^#)qeW`P=>ldjQ|(Wp>Kxw{6!#~h2%-)sr`C)l5DAG
z{-ztU3r7`P0!g9EwW83EX)6^hZJp+dh*9GIOpNxiWSF%yr89s
z!FE9F61|`>?YMH*lI+_tXV>d0<{+U>w=$4dYLT-oUHWx6>!_ZSOLRS_Y-1$8h|P{d
z`679O=$-4y&A@<$YhQRwy!(;>xBvl|$K^lbtpvj5@Pt_@m+TzZSP(c|=GD9sA
z_ueY=Z$1*2pihp58K`cVFHR58wMGB-z8hc5I?Jnn4RwrX(5M~MK(?52Jm(`)T6{Q1
z6IX_P7#ytVpme@LET`P!57+f_ukgZBdb?7Qxl$34aSI?rBBZ-TJS$eDiam>QZ`c$m
zPw`rAy@uv0!gllhOeaTzvvkPzQ;$SL-=n^+7;#fni<9(Z?JLC7q}Q4%AX5gG;{2>+
zzNRvFIF{~*N5KpE4U(~JR_A$m)6MZCeYOXoRdFlwECfYeJPbP&0%%H9nJvXPFXL(V^R=O+
zsRtqs9PaWOA8v~lyP6thY+nS6b*gVIQ&1RIX!eQhiLr}VaCkCg^{$)pr3c({R9xNg
z*mua!?ERK@%9L9bfp|o&eyNeUDXT}IWBzJtdy*OfqdskYbjo?Pt9e6NjBe)L8;J!CXyqJcbzx=9GRRJzx%
zagPTp#|pY@)-M>utEO+hOqJqQw3**z=Ms-}5@ph~Z>+Y-4Z+G1@aReIw#w%U^o~=N
z_MSy(9p#p}z_@$tP80rZ7nL>@3_;!!R$e
zUIU@GYtE|3awLl_-alxg4z5T0Ru!}oB3%1FnJ5GievS8&)*p;pI<|U3l=&dYJsEE!
zRz$PFy^Z}FN4<4^+1d|RF&!KAu8YC6z70HJ_G{L-v_x`g=u_?AV_Dhht=w#^b8=}*!W-8j=Ta(WS9Is0YcV0|I4
zKm-62pcLcvqsU*`j{8;=Mw)5>^#M<}RHUL1Kt4yaS`+x0N?715>%HaNmq>ND#Ya&H
zJ|A)VVI-@DSK%aYfg%8~d#%P72$6|%8=Z-41yPR3y?$--gzAcyX0{nwNg!lU;^9iR
zfF#Py{*EQY*|^aZpE=7QV!i)+=9YYdZvCS|+gVME8V+PkK}On1^2grsl>lwo@08Y`
zH)`MZb5Q5rBK_I;Xw}=+dyWY2x?;imH1TakyTv)evhqIZo{`K_UE|Ro>QiYUN#-dJ
zIM3X27Y{+$x1#@HH^&t>7=JXKPpn-~@Mte_^6YKy1Qyin_^)1=E%4yH5WHOw&$6=D
zrjek~h?ahHS3Rq{rzM7-!f
z+G!Dn0qhorw~+@lH!esHfv#3D{-dfuB;5Nu@~QHNl54+n_Oj142fwIF2l=L#a~@AU
z@mzP1<*Wy~=gX6I(2_KtthZaS*Y>vinO-1TbHB(1#+m=J_UkE)dSlAx>3$roXANC6
zUI-nKesQ8z$N6p=B`uEyluyuv-*Qqo)}R9VG;kH`IZwLl7{pNGOo@FfseJOMWTk<9
z_ypp&HozwSH|om-zjKg1ip^KJluYC@crQCO?mM^Gd$c-o+
zKP09+w_D$9o8Y!c;pk#__p|qI194nNU7Oe=hZ=%bW{*sa!*6bUafo`3g&SH5^ow=$
zZ7AjpXA`wd{T<@1+Y0)=ML!}R#;aCl_cX4^_M;c#wBZnO2=h5nj|Dt^L$!JIH-@tG
zJkCbS!C4QB=vueqz+wQr&fnDwCEs@-2EaF8P*>v2sb;Bs5bu83{_wPj>pj*stE|tD
z{*;&5!rxv;(sb-d^dqiW#RvBFksIz9O#ro*CGmxyFRZ^Z4h?G~Es+I8Po*SulTpOM
zW_PJ#x(qOOfKXo%?oH+d9*s7T_mPY?C+xoU++c6a4o4I(j-Wt1Zc2%}Lz>N5_RLd0FZX&g_A7
zGtUI@z9*(ncEvxX1;7Bb+Oo1R>Y1bozt%LaD-%`!!ylo`Y=(-*Q_Le4)vJFr<0B*>
ztzdL(IN3-(;)&#^npX7lTtFzzYZSPD`f!#z272w%gP;AKhI*>hZl{p=0=&|FQU5!i3U+fUqDij{NEbu|%{d17*9
zYFSZdOnvXt7=!xsy6Ydz@;)t($^x-tI!5
z?hP&q84#uUksXL}`aQ{(NDLk9F0c6EHb))^6n9hrzwqb7pl&MPpAy%l$@f1cBJHT3
z3-a9!$SShL=YgOOs(;@&fBP2!Jb)AJlWB7@oO4oE2*8%$am+kXh}2HN_rjQJwXCIx
zj6ZZo8hy23U9CwCW^tV>cLr_vcb-?z+|Vl#@OYS8*%{0gi^)JbM!t)KHcL=a{=1)F
zOiz&3|CBvWb%g*^&`ZH9W5td`9dPpa$tQO8Q6>8A+tRezxx(oIri5a#=^VbEir_j8
zjD7P<16L{cS75?E!fW`@$-gOjBZm72={c$wL%zsEBUk|bWPt*n04U&fS6(=wK~2OG
zyir>u$N+3t&rZXo-vLgDQ=|{;`?rwoAPflsA`M`b0~lqp3eyhRfXcm7CBZZ=nouUv
zS2hoF{j=aWjq>sb>ezmKJ-Q2uxtoKnVYyiszH5BNA$CiX62uOBw#A?JCTuq=TlL)U
z{lhP}AIlQ>Ll6ODz?)NPJRlfgqq7L0fCrwc8n@5$G68cAXwOCR8P~QNQ0_b9E9h~x
zD>q+Mj#-T9hpk#p4~(q;?$)P@Z7ID9L6S!HB=9?d+y)7tPS-&$-7G6@&hg>}Y25Du
zfASYyx;P7Q>nQ&@!%+--gNXG|mfng1Y>1B9YGvLnCr6_oK$$`QInZ7p7fvX906Z+<
zJKiTrw%y#2DdAfkCwii)wt&Cn;MT14Yc<+`32v^CgZ_|ENH%{lB^bBnF$>5tqCXbA
z`C{*@^*yVwyn=^-n$r?o{=q{eW2Fd^Jtgx>0Gc&kr~S5@IA0Cs6G*@ZUK3~*4A>H8
zjg>F8d_}fDH7_;RZ=!*la200ua4y8}uM{s7SJT*K@$Ok{kIlq{)rJQ}AnXj`hPiMw
zjx_FB)d3s-I=qWjNDR_ob88~_eNG>vZ%2ff)29CHzyS~Fja-_I(l9l8GGWzIhU^zk
zDp$+GID|Xbw1
z3)@ogfwd_ZlB@2uTK8Dwd1_B&_i!|t_vDWm_E=6o2iZ?nvHXwF2$dV=U$BsZiQJ$)
z7j7_02?-{%nE-~`SP?WG%U!z3&_u-knbfO3T`IR=dGOKtvXDK_S=v(UduBF3mO4ib
zueZ!IK_i)0VIG41)=xZ`JI2qN%K)MPlX|XfyteOOQ7kzmsucrA81HJJon^y^TR@C?
z0>Ex1H;o>x+SRnBJQVmPxM~2txDI5ME|%gXYK-C8ZGW~qhT}J=B
z8xNVO*evh9ur_%@MD?k#dN(gwfqRO}u@n@2&=!FXYu(?niX36($OA!V3&YM0Bd|Lc
zkLgo?V(8;sFHa_{fvtPocwc6^K67w}-#BZl2?+zpo-b>gs^EsVhhw1aEaJBDpRejK
z7d0DbrG|3iYlPDNT;>R+aDprtgNr(d+K-H5=!sFc2QdNHQ<*742$YbmxUeVoP%QX{Je9?aEK45V*&obpnn1OT$Bl&q!<3LQm9C(>MF1wz#NCJm?@yFjm0hk-ka`=<{JQCBMVnDXXz`=y|l3n)usiU
z+#OKC#C&t$TQ78rb(gj6i!QGsdlls#qeMW(PE|BO?83w@y*X($)y#svO8aZ{Os4lr
z=g>qia-V(SA_NaFBm*mu@)#4TVpW`B3<+Jok?*7g;BQX$8(3$K=1E5J$NYof!nG{U
zI5oEpwcl@_b~^C5Iy}zQ&Zo7)F24a{OJc8yIaq5a5X#{P`bR_tZ8idScw^qYvr%}^
z1_Z3r1bngk00A9Xlr~p~D8}i&_ErFyNd?gxkV$~Dq+%@SWrJ4{z(p|J5UF%?0F$qd
zVt@sPz0De~XX6gG-Qw!n-O?=Y0r9?Ky8%$j4{}e2PHh?ZZ9xdsP)9PG<0ZbL17dvc
z`Zq{m1Gf>715qcBu&4sIO2cbH%cAd-HliRJL`gCkE9u!|E6KZ5>icqPd-|Xf!56AK
zY(>q61Hql00X5{qbm`580mV5RJF;w~!NI>6m1kf5^)MBrD
zE48-s*hz1Kr^6lX>G5Tu3JST&W=c~6N^l9Xm!VHR8o%32`4!WF3{cZu$TortJCqTd
zA@oMXT>)?@6v9qDS^@bcV*uP_9K@*v7+3y58CUj37fPy{~Ao
zo_k~R7O-5K#=jM=Zu)*icaJ6_HlL%O5=1R_Dl#<&aPtNoSQzu{zlJpK061l>h})Cb
z&o~-%N7vfgXY|;?U6QzxNhLCHUX8gp-gCmb?$2W?(aiKUW&na^BJ|a;PqZ
zBXw+?y7`LxZI`30$3twF_FIv`2bddH>P6e2m-C|C51lB
zp&~*=TT^6{ISVE9qp6BDaW|_bgjvXqN}_#hnMJ)Dul1D>Ws=AW0;BF7Cmp6&0ih!w
z_+;fS1eGAU-bbLyZr|2{bnrLnSDxEpL^C0HvAt1{-krx(tedYDv|VccM3#v%r{GaH
z%xJfA0~Pf3!O3WDn#Lp`uMlFSnu6QiK$V#S?yAQS*&QP@KQ+u-FT$?nIXe0}feJ#m
zgyzu3p?v0pEMd?=B>932ss!^$p;R33TB~AFT~SpHi}neZ8Zur1;IxLdI|C)`b6-vx
zoiNFR#;ZLS&0X=fDTLfm*4@>?6XQb1T3s&&ZlvR7<4XsXd>F@51u|^V=klIh9Ik6-
z2bpC#v&lk#j68Gm%IEqv2{5?F3nKwww4_rU^2-`sFD6TI9?)CnN093Vz{1ApxVpLa
zXTcH#`Cjx4*r|mWrLif1ObNcgK*0)pZ%@RWr9IZcK>}G@vs*-P675xw%RKtF#B$z{
z-*8l2LNXIGaMnTC)*Ns44Co@Gam%8g;U~S_>O#;p16slG*;fv>+P+-(BS*yMwZs@@
zxq$I2h5`ck-}|!~ahT3`iw|tqsVb{n9aInqW0S`)7Vf>dgpQAt!P}XL1m-!cxzk1V
zB;flAKx^94_>JZ-x!Mr#c@Hd`^!}ZkTLIM$pKr@hB#J}HUd
z=lrz?q@$$AmFz2Jf%CTR6mL;tg_!r6C|`AYO6a8GerFOMGRIxyedyaFj-L
z0~3Xp0H+bog%wJMox1gX>0Q!B=hB7dFQQ-sU*)kl73gc|DhZ`U_BF8N0uUV_VR3OU
zNHMN4uwUn@dhWA0d|+39-*JKSxpAn#Ry`&5lF`y0==eHGIAnL0dZJ}}LVv@ucVJ^a
z17M}dhWYMFaUFT}!PWWVshs#a33l%pRlzw_gUOen^RO=37J!tY)^||Oqbgh;*&Jw1
z*}g?>DfmU_B8WB`DR8fm&BUDy(|v31zhL$+6@y|1MAh0^HOv$Ft{4l>-tuWZ2KH(Ikd
zvbC0gx(EE~FVAGL{?8_qxRS)I9FVS_-thM2)^_*4m<1oz#i0?}eRy#Ui99@6h*%$#
zqaWq(7fY|K6zuEmT>&!&!-dted3HrLS=omtL$Qq++kVG&Q5m9J-=wQ&z3he;wY0P_
zBNo*L+KRUV;D^mQA0%_1nE}2f=P$)6qn35!wk$$|(&EMQk58=b%UA_W^?)26YFnr+
zy5D0<1C8Q*)k3#gnqo8b@4Fq(c;xFADn#Asw5in>N*L{wI4Y%$<>umA6`eZ`|2yvS
z;}a7KGryrT_VaUyZDrmSy4R8_u#1YL?YUw-rv}a8;bFZP=R3>O3;vsSM#FV;7mn?w
zqJi13ldCOs;MY=TLF-fdlC0gA+dvBVB`;v~Pt`aOw$w)g$wo?VgRa8qe0HS74@cBd
z1A!75{^yKB`^824&c9tE(I_KS
zKl&8rRO67THn@E;yUk7)u^yx6IJgi2D>~b%Q#qdXEfp;osB?HSbHa`BxqKn9@jW6MJ;(5o7#|;j#N%8SR
zRucPEw2xe#5E2rW-G3Hfat}N!E5UIH%>A&)qo$fJrf3n5j_3TFmX?F4luff*{E2`g9xae>?4`{sDbXo^9Nc68X$g!sW
zjx9pX-*(h6i{uj^R~um
zBcPyQl!!?lRg6At+WL0+{|s>%+S3E=cbjsku56h5--oyw!s%f}D*mWprQ-7Y&w!*6
z%r-qV*%LIjLp}2ySklcH4RSN3>>s&iz}%o7Hng
z-2SIMC={}3wz}E2&dZFeNw-0Y#(!HVOvYnP^g)#{cs7qtRiMx&c9N8$(`;U9s!lWi
zwPj9RNl`FeRpy|FnS9K9#@(Q?4f>P38ezcs^ot+=9oAD4p2?VUYHHZr`}8zpwPJho
zj<}b`+)0PAujVNPm-!jkuwS8311U+
z3GlD9EEdH8-&r>cN;S7JOo{B1fT%AJEi_!q1X#EgscuqvrAPz~+u{CCDaR(~o88cg
z-W)0h^v+{k;c=pmS8{gKNl4QGrU#5kE_|iwq8cp}DKJ`gf5y3!wstw$`(PAIgH5~b
z`{{ekxT9KcHxBHfHu+OdsivqZXuJp3zP@@xMj_kBd!8>|yk@gm`W5sj>J>jU;{+Y1
z7zX(Q^?n3h%?+gb^-O?z^!)r>66Y$+0miy0_IE%-20C~KCaRPZA2Q0L{;!
zR<8u&wqj92FYjb8l!Zw>&n~(5qiU6vXOfQ8{aQq809CW@zP`v(aoFUOdCWk6nd^j?yz-unx&oZE-c)4U`VCDhSXKmZ`we_4C@ngJ?o$He!jJcXG2
zgUZzPiKk!#NX=>?!qUOv4RympQ+Bjw=}rquhkz`Oiq
z&I~&JP5~$%+0`s}bG4;#^?;Q5`v(AzK6oKP$qP<4wiV(qX?1`Eou!}s=qS3&Q_VWV
zE9-}h{#1(%6V7O2iV~uY9w1Cv)}Ki
z9JM6eRAUz*dVdC2wy-r#D;951DO2@g+ge+5B;wacM&rJTgrdYK^rouekkc>iUl2FCycRb0Y
z`h%fosLSIfZh5c0F1Evz%VB@pnvK}T0~Q0H-F9E2Krs5M6>H>Ilk9(a+BkRo&5lUp
ze3Fi!64exY{cJ{qM&6c+T#zt?dfR{K*=?E{gz;3XtC(jvTN|~a@XGl<1z_?(Pdc>%
z6`3@@(?`zz+SkKV0Mvori)i(6)bSq`ZF6xO+e-)e_S+K{byeA|tAJe8TqGBd16;EV
zsO*@QsrlppK=w-vWX}&1tkc!e2~wISlmTg?+x6=H2Xg)bk!L9aQfHL%dYo_Gp3`eo
zx2TFFY4OF`Q{OqgifH|=fLpK^Oo>D2U#5bH_RTtdDF96CVmAtqUFA-*lOJo#ep{cO
zd3th{-3Js7_-)hEO1AVv7Z)B!N}=td9A3?0VevfZjsY0f4rFwh+!4e!7;MaAO8~E;
z?z;L(ykC@M^;Zd!>3)?8PDG2%?dz3w_SL6X!zV8!2m)cwIqOr6d;JNb99FvWhLoeN
zqG|>(EzZSqO)g*9w%x=BkBsPg9*$fg=?OdZc2?f$&vknFgh`L}=+LX@8-TIYMHv=Z
zJk=5g=xrz#gGk_m2mi(LN4APYJ!JyI!fd%?{_F{T__Y_mf16g5_)hYK_S81)rh>B1
zfvWJRY?Lm(Oc)F^a5wt6XdT}%xZz^g>uL(Mbeg3Un7hKKxT|D9g#?hVF{V%d(U+GD
zX9Z~4k%a!3emu!cZF{5n2xh=J16&H|!cAM+&KR~raorWl%cn!Ah-aWk*{u-z=NOP(
z(722SVr%60-ScC2avi;SMnV9Sjxa3O^vb-@
z*cnECzcM7(>1x*&d5)=xb5>poN+qbp#^&9;4FQ!YE5Cfq*S`yh+ON6!@yEIVt~CG2
zNwFic`_rC-;g+A|>onIEibPeg+*>236Fh5(CC#B{96A;K4C)u4jVp69dS_~nnaR`|
z)Drjt@zpODVrFO~CW6%S@FX1{y|}r)*_X*CH4s@)#&;4oi#cFAeI&v{2Uij_{&&cl
zy%;LiX-28~4s%fMdFwPiW@wAHoYNrm1cV)62fG9?6;yDJ{6gOtrINBdoct0d(NYO7
zt{6xV)!UXJb7)?Af<@nJi$hViMtLfGq1_ljY)zyfYr|S>$Pu}Q(z=?VoBl^jy^tiB
zjF&vA)ZFQ0>iVY&c1|5am)~c1Cw+eUqf<|2yQUnF)uX8~z{5$tcG$)d=)xkE>uUaz
z6MH{g?PQqSmt8_9^;+CP@e(!lR>91}gnK|F$FPGC(2`
zpc4cqUF6*E{_7!>ibD5={W=e)=z89P!e9HEr)8J1($$_H$ucVLX8*=_pIyX?y_B0H
zeU}wbfJe~)QG=G}{nWdl7=a<;ag{+ohxgp)!L>F#O)Zb>Od)+bpj%wc+|~tFVp*)x
zJ^RwaN{^(R-z;FsDX}*alXZbPqa;iN<{K@3cv?9q6(P<%GZzm5Apn}wDvx7A@2(co
z6M%{YYJp`@WwXBFZ%f$Ypo`^vB~0({r)a*wJD_a7?1e3pt;oV1UX}D#f=`q14TiAl
z7jfw+>iw2`Vra*pj*Ot;x3%uC8=ib!pK-pL)Gz1b^u!g(M$x5s6bMRo80t(UqWqdM
z5s@i=iTraNXH2gGAO<=XSim%f`xYOl0nqhUC#p@e*XmwMN$rCc8~4>QMmc~)OFjL4
zeXByaWeI$AdC~)x9G}{vh@CM4C=>zII&S)8aJB1_2csmQn7`~CgB6Mu0C#6Qu18N)
z26Ioj1aH+)Wq@gff0>GVjaCX;wyhG1V!5CZ{&cuffvvyra82HjTyyEUqNUr*g_44d
z+>y+}YL8QUP0%?2x{vnkRkVgQe2ku`Yj@<50+am010IEGS%Nbf&+Oj(Wv}Bms=9Yq
zJ$ZrsxcnzVI_gi28es4FofO^5gU!0Qymc>+lSWmKYSrzkE_`G{gfo5m9mhhKpC&JK
zh2jxJiGd{OcQ~UrIGnY83JPWIe<&l!8!Yxez_IE;H9vyt9CbN
z6O4<|8J6UJg4y6$V>FzF-
zR#Lj9q&t*uBn6c2Zk~Pk{_gjkzx=3kW}m%RUh7(Gi-17lqq9U5U}u)c`#e*B=|h+Hn|Qs`s)N@*&u;49D9hvit-5u!>QgW(-6`15
zDw(={QwjK9r@@tGxwTr8%GY;b*iqyc7cY_hv$MLjIgh4h(--f*bcQ)fycO>iV?kEU
z$=Rd{)CkN_DX?an!5H_M8BM6c(-arWXJ?hA#)#5=Jzgjh9~g}HF*fOovuV#u&smSX
z!GpQQMXHroL%aGzJTDp?n~c;xcV2C8^YCn0I4@j1504Ev`iu`g*n%~F@mRY;Oq(>e
z2sVmeSaGFDxw_?g*vuO*_$p>TyX%)=>z@!QyNwi<({o*YK-ks4F@71`I#-GOjK_N*
zhIFBT3a8{Bsra+8YWt8-@VUfA%=p;Wv?eJO$ZlNna*vM=mu^u1jktazEqOL89^Kf3
zZzTo`;>UGzPmmgORu{{HJ{is%Tby9SBRD5ZSsl#2kmBumwQ^ZuoYF)2m_tph-k4@C
z^hK=R!KJksIVnc8l~?TR5+k(+L8X#Ql(-R`vpS8>s-Bg5(2o;_Hth=kGFxZwzDheK
zDJpUqM>EP(`+P(TK3TV|u>3$`QAr_RV$m(L$o!;65o~)J-xpM(mju>we$O)}?C{mG
z{KC$1xy}?S%soD;_-;FqJh|#8PdCupO^WE!-Y%?rCeA|Z7$3In&8D^Wiiy5vD=vh6
ztHZjgm3j5-LrDkWEFaNAnAS^rqSln7v$Z0&#AN;;?`k6`k!Jjn=G|g5r)wsEwo|z{#=iyQR
z=&AzWS6Ksct=A(Y*R0|-#C0cmTeRsV%F)x?Pwk2S{AbG6ZAFf0x#_YCkj7Y~{$YLAy^*hUF`Va+XGT66=6GOg(tVl6J~58&A#1m;a`W#5qnODj#Ank=6*ZPgo<@b{t=SgDk&E%Vd>ReO;VrlxT1
z!7ly08k03L5iR~1sv&QDj)G}ct3BlL-!U`h=wH0Kq(&7jhS6?11kBwsc!gb%hQ~!4
zc#cS$rY?Au2ob#FkhHfyOb|!v;?nYX#k4NL+P(LZhB-KgW>8IBzGz~$jusDt%UK(P
z=PohCD4)s!$H1PZLebt;FPw(UQynfbrI+KT{3wG_(n`f8(aQ$XjgeLK4!pv`CotNq
zT}?MX@+w%q>!i%OWW!J1?UWFI{*65nbS^}
z*2K|rcw<=HlAFIr$;-1Pc~VE^bSO*Cmor8it{`J?JvCV--Xf%PoDQeV{uW7^ybAEjy`)x3#
z$z39`F4r%l?d#?2M67X86_PV$`?`!ft|_gg-{oOYRf_|LBb->(MZPu9c{`ngM1
zSub?QzkOFD9^3lH$$jJF=8Ea$FNprQX_fi|L$H0L#vwgX)wrBA^n49mR52cKTJ8a(
zaOd?AGfkh<_%csqqw8f-y2WmDWTvjMN2_Tp8r9A}MQQJ9B9pnJ2T`_xKm@b(+VPz
zJxl(BTMZ0@u;jc$wxbAw7a!<3Z3G+1muq}A#iO@tdG_}G{iZMU
zz(RoqF|d!-Yb|X$)xG{zc8!7aNO1aC$5Bm>?|3TtG|poz=miD!G5vU;FJBIwV@}0r
z+C+F);#XOTuM#q*8=(P96mm9wGH(^dx$XW&Kj&LRU~t(at7A~*lVHZMrx87~NXa63lqo2O#7FFes{PtE|QF
zjEud+_;~*3=$)+btqT6dN)emf^_#G{?*Z5EQM32tXe+Yaqy}{}nM~4;XsL_@|CJz#
ziX#Num&Z2Gi7tKfc<DI8Dl=_
zC{_OzM)$M5WN3q*0>f70i|^DVRtkgr#>L@ZgDFL%!nX%8WyN;-G`{0+5kKw8OH|9n
zjI~EhEGaWQfK?6={m~CKdQb4TLuaE#U%v!?%n51hd*)Nsj+R5dy!iz!=bS)zH!b
z`r!6U?7cAQYU!az&U!OM#OV>T*|axx!RpNL&420_6ND44!YtV{rZZH`E}T$zZI2N8
z`s|-kT9u7fvJ&xJe&uI+6)OixCxwh$-Jy3lIQa2+lqTfj(fxfc?~O!n^a3Fig4vTo
zUz$7TB{-3@KYmv6y41yyx54Q?Ax!2KRdMiP#${d
zc-G++3r%OCQ57x*bez$|q9blc18k;~j*Y`e1hd&gIN{$fiij7~@NBxHdFGQ5`jXic
zb<_vgJb=v|4ne8JO1$5F<$s*x4`BGJQzkH?uUN}M!m2fHCGky@{=+FPI{7b=H@qm+
zC)5l%sV-cVyX{?UP!S^Mlf^IPD$Uuxn4(2Cv-$O-2q{5Jl8i_3!s89$z;miQ3<_IP
zcGT7NqsT6lk?(3*x3NNAabe)T8WU&HDG*a+C2M(sEVY=l$l94)g811#K?z%j!(OCM
z-zvj(G9(?7hDel3D{i__3S$gfWax~^4z=atovL
zDvsRGUSa?rK*!d5Bxkl!9N1@5El?)AeaC)9fM?!@k0eSY?&f(STUMTD+}y06lW<3p27PoI>kB
zT?)40#YkclU9&8t6%mg#R|i{AgUO2av2ykBmRd3a(^~2ROwd6LwoxA@p_eJR&iw
zT3XW_^&ZKZ9lW8qaGBHWh#^*|_NWd!
zUYL*wyYURYeos1B6*C;KqJUr%5j_5nQKJYkhm!z!3KhYXwxJNbLSODI+Ui-~1ePWh
zbY!v?wxA%=h+e8P!y^t}zf44}zcod3+@zQ-%#+tTDp=fCmGI!w%GkOT#MCfwAo={<
zz)zKS!SeaSS-2c*;1c{g`>Tk7X@M!AbeFGLqEN?g@VHq=zX|^_>W@l<1S1#j%hJwV
zt!5B)%1S6PrR&Q)z)fCPS0z>CdTFXd&w-<}P%2ZZ0HVIf
zjXE!`3#!h;vCR~Mp0_39KxS-H=zeo6kZrw)40s>QX-_Lz#JS6k#gUOS-EOotxtSzWKs*uXm}OSQ7cxRxiV|n9=+d&lT+xjgj$GNzE{)yWd+-*bfy7G%FJG
zW7~^Jcdrdrt$7BL+|@pkt9+;cuT)-(d!a>n3nT5w)ZVU_$b(iI`t%p|5CVCzhy1vi
z4no!Y*NxXq4%I3};`|FcJyspok|SNe%qy5R9Dr+pcy2oXE7;CnM
zD@UU3;#Kh6;u}gc+a2CVAzS7oNy5Lo%22=|qCTOrh&ss34ao
zK%8me6HUiybtR;^_;F(HIRS4|u9fe5;a&CeCxfET{`G(E}ApnDy
z*geQCjfu46-cOZpc!9R+Il+t!bm@OG9M5T}qT-SPfoFqr_tB35N7rx$%;5mM{CX
zWgpHkX}(~3YqGrpXb&}{UIxMK!>dM9AN~;4aW>cndf66uuCl6|
z?vJQC;4^`m92yN7@P{scuG6jW_Hplg9oGi=ga(H~biC)=hMlzj&T0{2e0*Wk2$MD5
zwLk_NK0zf>Kxub-K?~QT^-#QO$Lb=I-3`|cBXrShn#;i6-eAL;wrI*_TToA=pdb+a
zPZ|hz>k9
zD}FxWy^qZ%MLWn`&K8Bczg#n6zi$|&-_CsbeIIE64_u8M+2YQysa6cr-2vqg9UYxe
zPfz0zG|C4a%m=!CGGEqvnwN~XPyg08FSyg!Z1z&^MNgcHBTK(kqIS#)YiGgr=J3UX
z>uQNPgfzcjB7_#JN@#A;VPNS(#e1+(NEiZB|XlL$LeAUjR$2&QPCbV#WZ
zwBxmr3*gRb|7w2=PnfY2jd;a9j=`Q?Rm~R-iJfH=N;TZ_-7br2j0xtn^=yq@fQckk
z)ni_S3Ef2oj`9_u-ApE$7Z-hq2$2hE#dWmJAGxzk&%4);;-IgGUjEELxzEa=w;TBW
zSnzmQ;u)Bc_-%!7cB;itpL==UR|Pq+eifG?)~82miLy*1nNZHs3OQ^?U{pJ$qD7iV
zx3Fr)`=E;!gGpOk5gl39z{GT2fKdG3t`j7J1n#{qX>(UHb9*pIx9
zRYOsi40qoa|@bwa|*>W>)|4%;T$ShtYx5HcB;u81SW<%g>yDg6}zJhqSxIljGvrms5
z+3n|`w9aMu)B3>*&C$gD1o(L$4Ly%E^h9#J0P=f7F0W}AN(L)22e5~$GDard61$N;
zXPVYz(_s@yCVb`W8`s?tZFruIEiGYAtmXR51iM9$OO`!5TiOX;{r8Zx`su6>k761jyCcC*Ss}NE%2MgPrHb?2BKObS?XJ-DPR6@LiwnG5pj?f?dPy<_L=
zeY`9=uGr2MSXhWBE{evD*Yd#v#QZta@JX*oRX(*BWH9Q;voChtm#!|t_xo%M(mIUk
zLzNVs0BC*r_VI|+8RK5~NU8gXZXwu8C4`U+>ztv7(|mbAwd)Cc!0WBFjFb7cZ+H_#
zhu
ze00|aQOk#1Arr?6f-l+aVKZz!LxFAMjfqWmgD0><`?~U>OEMp240q>~2
z@w|&8{twibg%?^Eb*>C0-W-oLF)J`5q1U~{L!_qN#IU{7O&^ZWDKW6nvS0qyg8aDg
zwHd%l3WTJ`W&!?U9V`+Lf6=+E?q=)8jGbvHCl6c@kbiUUk232MJ~)+Ax^@P7M#}#b
z{&V7DAo~rihx7YZD_s(di41n=6&oDT0&rz5BDPub@>h2}e*`BVj?XV(@UP$3Zk|SR
z6Ms6(1DRXY@+7o5u%MP*c8uK0yeJRfdh2+EW`y`0H8OIi>+{bkv
zP0@7J$+s&X#MB#>!M|!**Hv`f_z9IiNrU4%p#i3^t*Xq>qfVHgg
zUw7sw!2Ba5FJ`eD>q!5ei8xvKwA#I@%Kvy_mE8e4e95M8$l)T__*Qo(V^f<6>YoOo
zOmK0}rU#DR+^D&0bpZ)SE4i(+hSH=wT4bsJzEyl}XrltZ&yH!pcNu?mm*n?sNmv)p
zj)u6eNOh!)mj7$xO^A8MoOY;%q5)j$PXox(seA|)fu1ma2V_2r8It*tv%MzZ)|{Z{
zNOP|slNL_=Am}DjUmBFwOHZ4dc)_l&E7#V`4y8Jx>vEz968AQR{F%*ct3UP3&}~y8
zzxNwOUSnt%92J5>-)r(Pkz4%f;Afs1*c07wzy~*b8NMCrzS{zAKH}h35%AZnUIhE>-f>
zkZ&74A*tO3zRL*>5{PHut>3Qe5)LA_Y_Og$Q4lz3w`$ATj&YxO6U)myoVE}|szH)u
zc__E@Gp9Lwk06K%~urZqujU=*dC*{JM+Jxy!BGA0^E(W0!oJi?)UgX|7BK=P`7
zG0@Jq_LaTR@%&wSQPGOSeP)Z`y&!&?((T6!e!iOO|9)P{5>5!9VUR|2jTuh#5E~e;
z167(Iu{Z@uHXT2cZz^Fdg4~ka*YNb=IDng+PSw;{0$c}y@AphZL^>w-&C2z!KdZVx
znSGI@-ztt@yVhZMrQ%W}qVwgnri@YyN)*;dLGTvpT4PKGnfN+<)s+R$=A;?_gwCS7
zjN(>9*L@=RdFfL-c?J+tpPGV1lCp=S{6rPY4{Yu}37lx?9M}*d>|q%VfJ|?txY3b6
zM#Z!Z+o1aQhtxX6`P7YS?T$a>=hf)&=z)w1t
z8+myHoZBfV4CIkxzi3>Zwr&q$XqG%4M5Y3n7}k8O=w>mbojn4^=i?FYk@JwpcvmPyPrQ($}
z4oWH_@&3C;=X3R+!h2>HCzr&SM?+Io!3I_bU8W$M8_7WbiWmB6u}_Vd1{}ZLBY@3}
zzyAjdoe*j25GLgut{9RkTSb69*jvTFOl)>Zh^ddoKgyn?P#TyR-_^%^9{7q&QkX_XVa2l!0T8&6uu0tg$k!Rg1MP%LEo%v5OgwS0|FI_Dd
z&AUcz`#Zz)hnRyy`L^WcSt^1nKnSPm@fndCfJLv0Z$beAn+O8U1tOR74|6L~s@UQ9
zH;%<6m%n^aPcJ)IHhM6Nv#^R7H(lPFo8)k;%{>NZqD1!XY58rli=eQttLuEsKyfGK8Wl
z$c&~Ivv_IFYSM+%#7<}Oi@b|EHYEJnNA8oR0!d<#_!k|MPs~jZ4EkmW?5)1>buoOB
z6i4XZljFO-GE=gKu%ik$OibVk^V_MBMX%An=J%B&7xM!cqmB;({S^7{BIiDa8pNw#
z(zdQQd>js;d`#tBI8zKf3Q)BS+!Al5`1rfX=$WskrR|L{^<1>N=pTaZ6dd=?ra7Eq$iN)m6|Z$n{;KLO(~Q1?$ol
z+%ehE^vJ1(GgrT6a9$@9Ft)oCHI*WjHL{}hdP9osL@au$Ym*bz_Z62qK&>I6T2aEZ
z2uHFvm&m~Q?!YvMnDf(mz^-^D>5h=NX?}Dha(3(T37U1o3+^Ah(JHflh&orocMAlTrfDr$;
z%~q|OR1PE2H)qE|Tx=8o1YI@BkoZp7zV^bOZi+_~tAiKmErM
zLT-AmW{}7mfMoz&Z=Ymys2j*c)~=TKViz!APl?%lX+O4(_Bnr(2oMjQJ6N4968Ncy
z!FBX$rX#yAJWmKzQ06)-X~}J$Ag!jci$4A7{F<8kN+ELtMHD<}Q|TW}7Oi6QMyJID
z#CdPXU{Wg_Nc)&0Y~RB3vP;DFJ_i|1#}#@2r#HQJt@wlX-6(CJ({r=W^mJ2P+LKu4NO
zik|CPj$#(W=CG$JJd|Z6eaWYFn_q#Vp_X9#`e%sfHC(7;s3x*#!`|O2o6(wcaekf@
zCw~9~c$dnvih6(MazqfRC&UPlweTRD6`vrKzqbf+J-WH@mmIePc!<-pP&YxyEr*B|
zz%~~>q{p-GLs;^N1_ynrw>u8nY}W-u0-yr8N>>{;K5E-6dvb8SKs|#M{$Q^@vs*9?
z(gQ>wm@^;dU?g7?)QqELI8ANeys7hAum`EkOC!@I(h^*YNj2`p*U*30HB;)uOc{7d
zq6G}$NtPJ8@A)STRnjHcx@)j~)w?B`=e>-tlB=a8K*{Io^vGUn@u7M889tGC{?Btx
zvhIA02?Dfj%ON*Yz3VIZXLIb|7LB8V^ir*4TE=!`Q$ih~`P#jB%wOJtit7@oICF|G
zcOh-vtZ!P$ZA0pGp~MjDenJZBApoDNgG98zo1f6$n{qN(S2k`DSp!?p?>x*{@135$
zFXLS99^Z3jV_w+we8r8mq=EUvzF)ETw+uIi%K{|Z2)``lB}(hEywu<522Gnn;`we6
zuxCq~63WWHzC>fcr2I(3b)?a}n@}TN*Wm;0WLVJilLBz#Wtu{-_cAsMyk_D>}LCBdMC<$)SNq}m6EKLT3
zRIyyLF2U@FAC4n%>Mo+;tw1I*n$CV@jQs?yMXhx?pl!f`m~5ZY7qegk{7kJuZbDQ{
zIB*#0cxf~;W17DFI{3cEgClKkQ(_REuZJ9jclvvk#`4wfj|lKO6I6J<)tUj-@gf3{
z{A4@8=mUN6vN#uG4)VydINC|dCj+B9M{S;BFbM`4ZiurJwa#Uktn0F!{yP6YPK*My
z5$)?L=^Y?KWOZ|5%CYNAEDaT!d4~PYI|6m``f+JmmBP+f7JSjQWRe1BPhN=U;Hj3q
zH#ZwR48K>_laOjVW3gc$5yE48J3>`lQ)Cs-1ykRnJI;`~)LprAP{1L*Dvmk2OO2@d
z)kGpi3Y34M>LYXYZ2pU+=O7oaoxbkM=FR{8c0+Ir-84`{ltotW1$|2X)Jx9Q#ek$9
zC`9og3w$nm<5m{xPK21@Dz0q0S^$SPh*f_E=8;YE?LXZpKO&#S39$CnrD51m(k>oJn1QajNrf`i}9i%;OVu7)}!gQF8`!-
z!Y85?R3ZT3dUt12K|*tMf-0A{GKLsUARuy};FwBcOSJG>O6QQhk*ibI=x+*OuXU4>Fn6
zDnYp!*nL>O$R4q346Bjlx6fF>!e~Acww!&izFg
zccIn*+W`q8&~PK-TaC1-IUZyprODD@g2L8w4>eiaGOtJC2;Zl4$?6xvJ<}wcr0)Up
z*QHNv-foSBXe!Jl20#Ca_Zft@D%j$%&h!tV^|E#F&?RLg`0#hu#-L{td?h8CLroi|
z8^jIP3DKr#Sb#%O-Qe9P>t5z}t%q+;j6RNKvg%_Pc%14Z(l25Z$X6i7U8K$d4RbNR0>l
zKzQ7IY>22EmHgZWz4|!y?#Fhe_xyg|C{X1u8<&+*$27#Ba9_vP&-o6siZdf5eIjSv
zlc%fBs}Ju@F7QdM{=rjHQV%MQK+5I!Is);ERx3|2p#&Qp$2VFzAHL#}1L6(AYyF*J
zg?tD%&&2I2^L!;>D%f
zwyio+Epc6IN+Ui4yDKRf5Di&Q43LN`jUWTR_WDc@%>exYypUzG`lM*LG0mMGZ^lFq
zl~qq~*&u7+-Y9^2C&SGn*vX<0h-Zpn*0^1GIdVx(BpuA`{h@Z_gA)K;9yeHQP5^<-
z+$$f72S8y!p`{xNz>pC$cC#2i>y(&X#@4&HI;Mg*wRC^<@41XWW;3L>p}PP5KfTs^
z<<0PQV!jQsp6<*fI3OF)Rg^e0{LfECj-2L+?CSgeqr(9SZ^eh{u%`HXkSss(*aOz-
zhc9X1Pb@mm1XY`=P+e*cxGZfVv>c;68kln-7wIZb^X2FfTu*!iIr2U6YEsRvb8R(1
zxGvVh`4FkhG`f0Ae)a|wd-xqQTtg{><;$F%7)bN+Pf#G$XJO^!!t$*TQ1LxzP*3tH
z4PAavw#p5-GC<2Eaj?a;+lP#>C`RSRN=)L9i{U~x(szL*pvX$<{aIpt{Pxj@HMst{
zDh_xnv7uAvq2w2&fOA7}icIyx)rDAsx_VZ0)w*(r2gGvtvKG?e9D@M`Hf>NZr)yuyMfLY
zWI-zY*DRl!JLiVNrw@(mEsEYa*w^cvOTA|}XTdZ8S6zCS>+`AI@t~Eu8ru
zc$Xg$2q_4phur{Nb>U&+O(HBYc;YA{@AzTzW18fyA}I*{85chJCv0p-MDncg+qtkE
zB>>>U-N}N`iRY>@CP<Q|FP5%qd~kkcK{_{N(<^48U&Be*sC%!~Bw{OupkkbRPD&F2WB2O2xSmG8fsehDgC
zm}IJn`B=V|M?diZQVYPbz|ufdmU2cu9rY6X--iisSNRbmQH(snZ)J1SG(%CHl=Qkafqb+->s|7&`GB2lHX)-xrqTNdzR9J
zl#9<>0s13SAUS6*8bCdsimuBtC-^?k6}L>K2nKl|2-saXbZxW`zfabFsjEaFF=W-U
z)8b*`!!oiLquRZ8=Y}wyNf{Na%yoEo5{69?P8+%(*cILkNbZ7{QOdjFdZxD*s~w*M
zOhbbtq$20zB0n?$2ARKU6=q{CUTgA!S#=6vUvwvtyH&eeYu}WENsCrb<5-@4IF05m
zG+kcc1r&t*i)l~->TUSQ#gr|AlgU(Z93FM8w_9lZl38>U127&^Qpu697h_w4m>fhu
zwOE6w`!7d!PMNA}PuJW~1Yb+AV_Q!U)jyCF5QN#4pek(PPZJys5gSiUU*|FsM=qp<
zo;-vE;{+2j6Pc`RzLyvNV};l6nGVB`m#uKcXd=fkRuy{mJ%lMaVQ`LM>=+p|if#>h
zPCde>veYhfQoBi&h3tKRAzJrK(zK^L5Vbogyuj#JhU>2&FOc~Ls$d~Fic2`;Jz^^c
zG>8o*hkfg+_@Cvx7C)0ux!>Dkgf~B@iRI2UJ)VErFQT2VxA6_P0HEr>)fggQP>o~z
z{CbTB0NmCDRG#6{RK2%^Agzm8D>OHZ2LUcf@VLD#FebHblSIMp2jrwL##HpC=3@dN
zhucD6fiX9~O=-Q;qj=>J?q^o(?zhU~yz8gj(i-46bSDfM5urj@#k+hRzE2=q;sW%P
zRU^xXPl`iS{Qhzv0;-zv^)3;RWJ&87{023P-8ylg?jLLMBn$Vg^ZqJP0>@eiX9rGg
zT>ulZjfz#L1a-%SlpAhw2<0E1T@LR!CyQtZ?Kg%)>AA+hEaYa%k#5N02ihKz2EOdZ
zQC--E{-JE^q^F(Tlsbls&fOI0#x#B4k
zFUUOT7I)pvvw&XE)iQGVBZ(`EGiSZk1h{C%zEahZuD~{Rb&uuqFEg@Tl_UPa@hd~;
zspPN{Jj+>gjuvV&%{M^{Ilq-sX`E+Qkkf(H0H*Ydx0mu$6$Ef$n4tHWiw~)q+_y0+
z&n>-0YuD@ccK9QYZSL!B3y}`+@1V;%0+q@W4|H5}YE+-_v)rA>+=cc~`84u723uxl>pV3*m?0}ZG}Y3JHTUc_b1m#lz?84BGl8f>L?r!{`&B?x*0
zUBS(7HKzph8z
z;P11!EULZVjA))g)hN4VJ`-9(zi`4AnNt^|>M$#|UJpNf9n=Vu>KFn*sg1D|#hT&Pf*A_y^RP)7m
zDKnd{pu_I~G!8G*QC-N6nI$GB9$0`bUbGIpmQ$OSV4tg6pAP7vg5@ovI|1jtg(%P|
zxdbj_beLGHD~$jhnTtJb0jL!gLysD7FSpLYEuGPrq#Wbd0^(@Tq647L_^oE2@mb(9
zlT0yy(Xn*@lAy-rX?C>2`oN5paUr#|A?ziU7WYLnZ&m-Q0Y?{O<66zo<+HQJJ_rw;
zOXUDr>0`jox$JRM5Q(#w=Zh95*b5p9b@S9F5OvT#-mxtyO}5vZdsk*)LJb6LM4C`s
zR8w=k9;buL_!Y^=pY)>}yx)I64h{+777z$OICvi!9c}9BO7`29Wa9(*&({PAZ`!!9
zEK_PWZ(fN!2!$~x_ASN9JZeM474!wtSH5uoHFx77A?((zJ@VW(qY8NQ3QyeF+8P78
zs{v6{^Wb<)SsVEUD(<7s^>yav!}zj45>%IX&HF)|f1v9U4nTWv_3G5cz~Z$ctd+mz
zLXjvUwE-cd9#gM1MSgpj+glr>Q1j~h8%3+6ADr`}kBLE4mk{yvl!YJ~aPet1flCV;W8pRjt`EjyjrClT!y9
z{iN~9_OgeSKIDMl;3j3Xio$=^J9pZ*V@hgrfhN<(
z>4zTQ4-O7$yl<4Yu3+myq=v0vTtI{fAcTaxd8HU*q@&}z@_E5^XSyPLmAiJ{nF2B%
z7HMwgnlRocPyCP8hROt--@e7!_)z~A{dWhhNF-$I&cW=82t9B5da(tB(s{1mgU0VXr1c(t`AmITfbi^
zGD{!xZ(P*Q%T|7dWw>?+q+@Q?^hm|cm;vTEAg0-9iJ<2Y-O_VzEv!`%gZgqp$SA1A
z0vxK%2nR-!VL=Q^c5(G{+tdAYe3{08Dgvr!tzV1Mxbw*1ph6NmJz_M34z$s(*dbJ%
zv%lc_$hlUh3)>k*(+E|x#%=|=R^q+|?t@$#GS0rGxNX!z&;yDU5R^$)31oic|
zqi?rr4`8Z$sUEp1Jl6%U(@&tlDRavPbqti6@n#6Rcux5JbIN$l%GRAZI`t8ScO>M?
z%CMO$ha^plqCs&0&|X{PR1}d{zl9$gIvOCT^Ao0k9EUKuh~GP^9?NeS9l$winsLC4
zxfzjzLr#KOu7y)`E`FF`Vk_w}Tc0g_lb0g-{%$;3J6_zn`e_$2b`g7LanM%W*^OBlOl
z6;%+0wx|u*e;yZ#z&kmYsZ`Y+Gh?o=EqQMBfuUA!eWcK`Fl__`A}Se}NxEn&LYX?ANyX
z4du%7_$gN@!k$tPp&=A_^6Z%1)}3GAmtloxjU1#(kf8Duo$PfJY>4E_qm$Y
z(bw+;P5L?0=oWRl>vMIEPBAQHwo|+%yI(SXXlQoj37@cBgCPn+&^^lhB{Kydz}-TB
zjBfuKZF+lJSru5h8EJ@z>YUXHj{i^^jr9T6Wb?RZCAkXu-yQvZ6Q$FCeL^75oMNk0ok&Tne9#fcR)YP0^X5r)viwVZjhXrEL#w8r-R+b;t562pAUJpZvxH+k^GAa?`f5)x{%ZdT4Y%q{EV
zY-uc61D7Satfb#vq#tZo4lV!v`H8JEIOPF3dHczfkkD@FHp`lxxEk{pl?D_io?}he+E9MHF0;DLWtYRnUz9Qr1|x
zoc*tRo_U)q;%J`h5>)NbeaSr_!Uo9)YEq&VF>|2(g+2tVM=!5|Yk$>GH6oDi5JZo}B_&%I2=Y
z@CTq}o_wPDGkCtAAQzLKplYmS8KrG3gEvjk7h(qr(`ZejM@+nchlvduI_i(!2bWe;
zdw~LV?I|{<@!wp~h9keEuoM_lx3*dPIw-pH_!GcT__58l)p|Gd_d&tgMA1@XnLQ}U
zt+$Q-(xwTO`$jmxFAk9;3P3XV*7fzOIgRG?c@BLWY$?dpFCWh&&F634H(;Mf7;H)-lES38d3gg{uKQX#p%E;e(8Z~RL^IVkq|g);
zyXmQx-TJL};N(}%4^}8n`P{{xV}%hul)?_5{B+wx8EByO07FDYL2fL3D#D*u<|
z7&hUFS5Z~h!Rq|iuW0=0*20s>)iW7&m6-<6iNk5|>PNiGU$@FgN~Y$hx{f^_|NVG=
z6j^i}-BU)T2V5Dq53YYlj1f8|OY^?8>K_;|*;{CGUC#`8cXxAEYj>s14)kJ`C%uj8
zW`qiC#JYA#p!9n=DZLVMR-dnj5qeE~>5{anj^{2V`}wb`N2rfcIHCT6e=|kph}Mv4yS)R3qqOEfqCnk|b&gwEjwIz0y=K
z8qGCKs(fXq8BcyAIEU#d8YYm*#^fo-vIsA47+V|R%(6wuK41Qv>zt)ftybcj|H^W_
z6ysZ}a8s?~nJFJ&UIq0y#zlX1Rc4*sj_*nYdWFA(?PVGgT`~J9&fcS>&H{t^i>=yo
zHJXM+NzkI_c-Mp_LV8n|d?|{e8_qV*FaBjuDuXxOs!t->$!8vrDuXL?Bk_p=GbV$~
z;6hCqKuD4+y)3ZDq&clR(x35bA)&Wc
zWpj*zX*8|pj%~z;XP8z@9|tuMm(-NRmtY5N21%t}v^ReE;rvf|z|6>z3!e@aPS^|R
zd9p@N=SMY_$63?ldk|xN(_={ckuPEqhEZP4dQV@UpI$eS)ergum~*2X+vRk$T2_%&
z*61xYXs&8I5Rn|WxO_fsMf8jJYTCS3wS>4@u4&STaAXxwE2@672Eh#ckuj;fFii%ub9rcZf#ae>!M|U28L#nIInQwKh+=Q3+DN8GK>Wb_?V4qUU
zyDjE$xo)8_0d3IW%`#U+qk)qZf7SZMQl$3kzeU
z1L2mhg5eZhWUBJm6Zm)5DP}vIeX1Wu;uitKYCb=HICqxy?PU1O?hxz4tTs^K$nRK2
z65X1}zho|C{?`Ng2&>h^XlM<0hzvv(nd6Fl1O1(;90;g$_)1=joq8
z>FGx()D;F6&&vIXB&gkz0XJ&Izj2(n8zmjY2zR4SLRu<_8mPka-?UzMWouozQ_<0e
zLl_jQ<}LLo8|OmFps+QQ6zT92jO%}vG*KxUrqx~aE}L;7qI$E(C)L{M#>c1kh_3!t
zNe*%3oP(8wzICnN_3Ya*R_ZQhyU464z7MVbj&1hj4|B`7jH8co5<~MfB_t$3YaJ{~
zFE{JD;}-?(CekgD+_+eLOVG0JFW1pT3LRJO8S3@pe+R4_AngXk4E*URA1=VC8g|;k
z)jlrv2mC>9z``8-aAKPc(yk7E1}%F>g4Xk|Ed9a;zC7w4k3NF3*nGTy%Im8sX?6Dd
zj{d7Lcw^U0roMUlPp;_De2HZg-ho>h+D$1Ca|q-=fi2?_9(*h1QWe~p!WQ`j^aHe(
z=+u@Zff`&M*Ujrknd(<=_$d&P-E!kJkWE*&t+R>6H3H#FG7QADy71L+TD4sY+{lc(
zika`)rEcwT7sO!?65g^^7|2}81(X=2%F44$ABvI(sXyB0c?2=PATrs8uppbp!`Czed?B&;)H)pmq8Jt53Q(o=$OTa24qh){m^cH5iRScwGzU=8m0k+0
z9Zh3^To~o=o7LcA&8ZNLbqQ`I9T(X+_TiD&7g8~H1>l~O`f^Ol*7g6z1uc|=}rY>8_>TLu|lN3@V+M?^t|Q
z+5JF{PS#B0*NTIH&YS=rd3+YfOo=O6{dqK)83I{pvv2@4bzBU~cLorgjTNO@z7Ru0
z20Y(SuwDSdwj&3Ge;S(6df0UpllaL>d;>UrP6tkS9)~6t3t)nTL~rw%7mJO9+#Y;(
z0G~8JU>aU?5pE#}fCE>r%TW_lapGQmN-yWw7Zk>;1)dX(WyA5kR4!2Ra9v6i$vx;t
zbH9=SKv~ZZaIc21=PK{*9J5qOqO`VSjyw%vZ!)KIOMYY(prwLk19
zlRT4ib&`4lz>@)m%Fquu|64sYY5}ZXYXE@UX9@`3Z%87b*Z6&Wq~q>1x`5uI5bx;7G@J7T|`&H&0gc
zer8-a5)es%#>F*`+mP0
z#Iacsr?`Fzq6fvOSH-v@RN^B@AlfZ37zx&a>KVYg+>0>i@%1aaMfjs|RS^?I0RsgW
z(Cl*9GoRa&vO-?Wj?WPXmwh`G=hJXu2WS53NU?VJ|FxFx+Owq{lzUD~p9)|mdyP!}
z{_nXy%Voh~0-;dv9pN4~TGm6OmDnYU$4M(u0hH`H#>X}5sr3-H;(nwd18US$Rh*IN
zfc@Naq`9P=jO7P;PpbDbr+oK482S8AD~CiN9vi}NMy(HmuW1)sgzDBq`}8x=0N0v~
zPVI%>MO0p6*$XD6P^r;q_#K>m18eF&R3#lPlMO?Pow0+W;jU0`VQaNEP$>ohgo+Dw
zRTd^NKDIXUlc4J^4n>X=G|kN9N(?@o^|zaN?#(qu`+V7~P^-4&88tslI*+dB5DXL1}Gpr?<;YYUX;dizWWqqu>5
zu{Iwx)(#NUsaqM4L|3G8k%_hsN$o6tktQvx&-Nc2-94NoNhi9EG?PQrTR9B!3Qyy8
zH|h`}pZmM_=~4eLh1A2^i@%t&#d6`7<4skH25VI;JWq6!SL}~|=8G*U9>xwl|AZ6o
zV*ve(D=7lr9|A2{YHO_fEo)(bG8Tzl_DA{-`~0)U^&erM$C$ng9HdllX8M)TS*H@m
zE)8M+8O@EhSGKg&cKCnAy>(bsUGqP@NtHAxLBIeJkdTs)5D^6_0Vzr8MpDURVbUN{
z0@4kV(uzuVH;Qyi*WsOg^uC|x`@5e1-*b6ga?aj+#jIJgWoR?zVt)Z9RjkuOh=Vs51(kr(@Zbaveuq=sqqFZLGPG7c%CtO_b9
zFYpjD;=uNZb@N9AWm4?f-DE3bJFh4cb0xApKE>C0UirReetn?Zb20EDh+qQ|P~&-G0-Kxh^1Et+MGc*md7sYo)kD
zp3>BmknEZJ9*Hu!fI=ghB^q&q^j6$3Vr_9B>h8~yWb7`PThS7>`HyFHsZQ=*>6_vF
zbRhG&g>ONF`}Ym6S1}#JA?hf-EH3IY5bFjT;K?BB;s$+fu%?lYI$D)uTdIscQObI^
z2D&`FoprmF*I4Er$(^3$lpKXB0tg~-fdhkt|I$R-@h8d78Kyejmtll5yIxlkY&t@D
zeyZgrIP@?^98)ndQ(3v(s7yTU;u^K^_7eK21r?zb=9VMg(Qe5WeoxihMx8>XR)fNs
z<<8{ehh8@^o7^0}H9!?n|Km7<(dqkG>eFF6JUsk+_r}3nW>M$Vk!$#f@=r$cv0zp@H{Oo|>4k^4t2ioRev!MUZTG1VK}WaWDTQ
zG3v(kllsiu_0BwG??+r4Z4KSJIdt%p?Gc9C=l9+KW$*ZT{v^|uZZ
zsu(G{{BDd
z5@$w<`FUu*(1jJaj?-*F{ilk~%H>XZ#>Sh?`?f$3wZj;s`k|lXInJ@G`Z`1x8H&TB
zO>7pI3T(b~<=NgRuL=r{*zDLH^qdtI&+KDAvq=ou+E{=FQe5b0msLsM@z^XSHckB`
zxjXYYlLG5~Ga{%y{;nBIMuN|&+dmy-#cvI2;loygM%ApXYB7OtJ$gC$Y6
z=jwS5u@yBhhWBIcnI+XIQ__<8{3fq@ub$hP!cJP_0`b_$yBEk|B)ayL6o$0C3!erA
zripK%O6@X3cA=Kvyc~zi6=TcMaUM34i$E~+#=pzj!C@HuD_}=pp~ID^Y>%jT_pvW3Kc{s!
z&ub}B_Gc8xQyzyE9Rn#2BzF2k04=4sVVu<3%L+v~iAiXJR6c$L^TFwHwi5QDoNsf<
z;IhZONoVLsIW=DcK76L#0R(xE8zahufnq@`((A3lzElw>)lJOW7J?Lx&;RCp*yVml
zInOHDEJPxxdqwjn{X>2(e!-npbow^>Hy22yM@UPdov}|&EQkdH+lbVW%dpwmG2~^G
zJh_R9nF7&02_mt5#X@y=xc^#N@Y@Y?*DdNud&`6R)ZSy^ovvbfvU>J9b^!s@y78TDk(;e$>J(
z;%Hr9>06mdjv)?~hr$Upt>m{@`M!5a$v%%|>M5wQwBO00Mc{Q1sejtEB+C8u;|+x!
z9Y+a^yP0stxhUT-`okHkO)p3j@^j{*g(6O>)p)296*G9JO%0`fQR5U7h_qDWqc_IJ
z!AMwZVxxbxzwy;q<`8PFI8th)`1_{pIS)1Ym^!GLL?q^A6?H;AH(@)Y8!(Txw63Vd-*zR;ExdZme(Basya`^PRKL0)WJCmBC+YPMZ=fe
zz1toODiI}VCvwgUd}K>f@GSVi*|w;*mKd0Pk?a%S4@dV48NZIrtun$kfnouMW&>S8
zQ#S-Yx_LT?d^8Zn%1gs4&0fiG-jJC>+UjsyjZjJ|Mx-6zb&~y7fvHPXl2>@9u1dQT
z*#=vvq84eY{{j056`qQciJ4STL^m@w_&LAmT36u5`js3tcixO~o?5{@cU7;Y*X(Wj
zqi&OF#v5;Qi_0WuYn$Ys3sG?1zo6$F`x%?~@rauE)b%-GJ|tDVQ^1st81E<|{B-V_
zRE*#)(!M(EPkUiDc}nxU+%h*QO;TRS+7UEkNgs~5q=`z@ufo>0m!Ro%nrYO;w=syqS4?6XW8GIkNi)k#E6
zN*9hsoD7ugkY+Or^BkPr%ko#COr4uA3f|pHkXY9{nyn#Cg(T
zFVT`e@-({UMcd^Q;Z(f+*!OHF!K*4$+oXb`{?GIQsU<2o25LP1>`{E^5w^@g@(cf>
zKsoyo#a!LwvBq6|O!)t8l@H%{hx?7CiGlpJvJiR3=DMag8r22OBXiHpf!)%`EX6dxbbti?kQ-|b`5i{~O#WuOV9E{T$5Z=U2gYMC|`8NN*cuCY#DE|3J?F)%NMWBK2X+LSiMHyAFB!+
zby79ACa11Rs!`(y-m(NLNN7+&@`;8QKd!#%O`7rGPx^s~X!V(+?`c#vMQq70kE-N0
z=2X7M^3}GqO*5=YHBB`nww{R4riL@kG$fhA_Ebkfo)cL+GQE240BB^1Qmid
zRss(Qkht6EalDT5ja4#r^{nmKx02u+^3SRJL(^(nsbZZDjgv1Z>5N>iluWXD6)T5G
zjgRRb`9sRvSQ0~Zq~aWZaCaNGwb6ADF+t)zPyF7RHfR)vMuc^+ZAB0w0u(ycux&wf
zG2X^g*TNDuXuK(p$R0K<|2i4)E@Hy`IMODJ+u7(X#}MkbC-XLSOnlSS+2?pdZVw)_
zFlXh3ZgENux_4zrwTvX9=8k=wFBG)RfAV&de0^skV7U|@p+AJ92XZ*|90!Jkbba6!
zMp|4wUF(vmkyd43;fcwXZ$b0{pksUdcYidq8=QTnTwRwuRh{)yzn}X}Y|y8&MAZI~
zS`Cy|s`pm;WS|z%qX)hD-~NyJcI}S{ouu)<$@uzg(NvM8>5ocGaz&L_0i(^APfn@5
zIcbgetYVeph!Kk`=+SkNdmGgNlhHR#V}>w%U5^D_zkPixwCxfRilF-vW=bl~zCih@nQKI)m!$h|&*7
zQI#9&pq9XANDB7HZEoc39`0+`31HY8z_0^V=v8E01}-02KufeCNHGWo7j);s#{nw-
zsjy`tsPXdm%Reo`9bHFYQQ%X}g;#tCDIfuEK#+7OsEB`S*H(MjU_1!yq
z3+YE#2(l&nv^stU{gVe#i0B<-GMp+&m$_ve}~j}{dAm^}sM`rk%D-&)tj%goR3
z?7>#X-S%cfFG+P84V%YN3`HV4Z}?jRe`ucidG+Q$u>haDt4NM)-iPlc$t_k;_j*`$iu~hIc`&G+<
zqy^9>lY+b~lMeCo?fFXUd0(F*rk=mZM1fPg6V9x++
zkaHPIF_!4z;kd>E$H!pz!Ja~|&icW=eX>V#x);YGV9dUT9|-<_foj_LvzR~h!$fHj
zk);w`zFS?CxmaAj6dXosB@EdUFgv+U5VMu_nB;UEg#{jt!AoAEt%7|Axia8WO^$A!
zUmO@MJTmnA7%{BxcZ&m5F+fVt5nR$h{yd2La#{1wH#9}M6>1y72QvsXqfa3E(|{1J
zfxn$`jcp)E4(?K130KDMExXO#{n^FEw=Aq7a*UGRFG+BFILzp*#h<&b75Je2!c`<45{GvI
zn*Hy0S_cmV6D~MNVhG}=Y-8w_2Dih)Cp<*T7>0$Jy^ROAuysJk^i?KVC!~sER&{n&`FVv3!9@O)rvEd@
zGdk6gqiu_c{*}CEC%kr>GDC$!HNg5j=ka(}BuCLVmg+EA^zpC+={HE}RIU|Z1dF%s
zS~7Zhdv5W!*I~OXq=3h)z|{RaBQ8V5rcmM{EmBwC(VOg`=#JyzA#J57DcymT1+cXL5C|if(}k&cmDP3W?I8jrP6PMg`xrvekoxH`P5t&{
z#i+HPuX(Hvu=^y0_>q!6mE4tE_qgsBDa5O!PVXyrc1<=%t)tNg19`^JeSLieYzG7?
zHY=98;psGp!O*x;RJK%k7b0t(vRHn5MP0i0yODI!4XTI?KN$D3vbXPT^}(*biltlx
zMCxTf*}Ot!1%h;u;T^@e^O9YYh*g$|Z4IfVZzY!6K69%w>u#|Xgfo;bRqn1mVcwJK
zgaH;PbA)x+77r(5vDo{?OT%TF9-E73!4}RetvqQ>{f85YyUCrF;t=5I4$g2vr%44p
z@9l}%>1n!RVdZJ|k$|Gac>J(*6c&LobFa
zoL_&&<9YRmgBBWESO`H6;#*@+bn?vIX+x+rRzO+T_z*UIq1k5c*$H`U1xzA#l^+Z!YnROEop9J(7qR4{yP~O)ThR4C9(JAI`%h5bApb&4choH
zbOiQkGvE}nT2y%j_NlcwMW95%niBvzqxXrI?dahPR3z-jUtXa1ORuQVQ%hF3ZEl`Y
zT2|IQIG8aqqVMA729=|3F)}g&`)CT#-(fj^`vR5f>7%*S*k7U!s%fFeUp{3UP4Fnf
zPYrbt&g{=OpYyvs(gvRr+hj|t2M@G@1$?l3k2fWk%2%P13Xi3OgTv55)Mfjg-xH0s
z`?pJfzTzx!oRE)57MTg?{_>2}Wq-YQ4pIYmBm_vLD|`PAQSy9fakRikunMf1B!6>(
z0)B1hSgA7Q3LnNWVOk<2&P+HQKTl+(Nr3a)u<)`Iz${(zh43?FZtpia5$`&B3
z9VX4Q^Q7E!+j0MQcvTn5H&8lG7RZ#gH79LsM8s=9Es>%KikpAcam}5tVqv;~_s#zb
z1n~MT&&?eIM2ZU}tiW68&x(1i)+cA*C2I@yeHPQ5Z?5p;R7ArROfsMHgDs|f}
zoIAYHp#D@^{RdawMjoc1p=onnYRX}wOTEj>xe$1cy#XPi-H(Y#zw3N<%>FbRkzqAR$hKEekF4jS1!k8u4m@+A?7Y~$zAP1gWkHj7sSNGuk0wF
z*A$%ogrTl3Kj*Hh(jM{{a9mXXqvfTVUT$2rIl+Y>e$PPIXGz}?{U(v!9WDCpOSE)x
z0^fT|41~UC-L?BgPp0uWQKF^ilJywlpJ6fstnud#`WUo}9^w(}nj2PRngn&RI2nliu
ziuC+^r;d$A?lOgNUB{RHr$j#Z`%_#$JHZx2{!F@bAkMu
z#OB?*Bc)or>KBE-Jir~g!eAd}H7Pw);_^{;gd)o%P7eb5O0F;?%~6+?A%5mvV*6
zDZKRorRD@@Lezi+&(9XD<)^4TmKWxRaE8H$$O(bP+V5_%|iRqif2W$M%}
zZCZnP-Wl1fOo0Mbn#H5uWfQv)5!jDb^?GF|={()mS6g_INPw)yQ7cr9gN0+mCqE8V
zfvQDLOyT|9Bk_ws+^w})EGL0x9+m83*9#$WJ>3Y|{r=IAT
zkv=3S<`^FoGgfD%5_(X@aHwdn_d~>EPSA;DWss*joYZ|K)RPJ}pRCroN!3$W2~MYN
zG5l8NU`=zjw6u%rw4e2oh_x%7IqwDU=yXI1T05^cUl!Zh3d?1nljDebpego4i#1F(
z_~J7eC1S9N{B%A#J{r6R+7m_Is+(8iEH={bi4bq7Dn|)B^<>wzPm9lGO9IK4tm=_E
zf#$r2k7#)GuhQ*>+H)NtLv>g<(?aTe#
zUYkwZDG*j~a$d1gPd+WTE=_xOp~W)PSnxvR)+G?~r`71a&!xrps^JjXBoLe6g|RX?
z8q8D2fQKxLwxsAZe$7qReWA8=I;C&-vEu=O-ER}bd2RYOdgAF6*+e8O$4V4+Xu`o?
z>9t$nx}dW#^hqt~rVOot=Ss=$#`^k9sG3qc>?ju~uQvm4!+Zoig$*_=lujgP5VBYp
zC=5;v@R~RF4;bbp8+PtgL}R~`cbBS0S8DCmKardhi@*J;x-RW_v;30;&pfS68^h4u
zcZtk&JW;$ZTMX8eeQ^9K$J@B%Cu5+x`#bmL?l7z7Hy1
z7cDTl*~w!aE~ztmLKczQKZUzW$`;8>f>7^4`9zftJ=%X<_4+YHIQrcFL#y{q%2
zd2~D)`L0vqVATBG9<~HT9nQQq*t^&KKH<(p%DQV!g6h@V@c|iWbPbd-91o*a@owi0
zmV9_5D^MV&&9_%ye_j#wHnu)&7kxv5vspZT*F@ZlSNz0VOYWMi`)=zJri1=>on_=C
zx7_Lw({s&VJOlwdGYbo0Msy8k`Sf&jxz1sUZOn$np`@=f?aYr`sE=2lcp}eKMAJhr
zVL92&*mQ^xA^$QX7njhU`k}o&?%?ao6Y?y_{UyB5R+T0Q)5=~dm;YGggylN{>C9?Nu9ij`)gb+seVHI`4VP*RLIsU(V5
zoe@oenI{&SzzUKi<0J4Q=1~=b?awaiqnp$$?rw7=hmksPrRq$Kr~PzYRrTvaIoY!;pM_+lG(2m)=pOl%l0zC@k-7@
zM>arVL1N3va*BfU6h-fXHG8t|1!KX2AG)Mc;<#s%z;~v$`z05ggeYh&KC62wt>y(1
zSGa&Zpj0NYij*sS)cn;4X;VN=M2kck-nfYEbH45eqUqO^$-|>ZQ^30!baGFQ0Hd?I
zJICMd9iRIRybkyYwL1#u6HNHDc>~Yn;$glB-zB!fkesd-`C*Bt=;5PKTlAgUM@-!A
zF8H|pza1;A;GFK5M&j0~NOaD7>vOzeclE#)N#j4ll$MsV$jvzGKy;YkK9J8E9SEQl
z(bV(H8B1Q5On)Y;5}b_CR(s@H^_a0~n*dn{*?y+?eOY_>qeB>3)c!-jOt;-S=et+n
zjwf{slw!=R0}Xi>LM@f#H?M4IqAZ_wBH@P?_}HeSk2;lr{QZF1L!#w__*NJsH5a^p
zD83~u?9CJoj+~mD6mU+dv>IHWAazs)58!v4smS{fUxlCmqiANPz&OM!z`j>c>%*T_
zqfFlTixn(zRv=(VXXAP<_*Mq5<(mAIX^XbT!?*yNMUk*?&F2$Uan0{Xh^G;SGJ+Uh
z(ZDCbG^|jNI?!=q6ej^=-PGn0CR3)Y8=D5}^E^-;F4MqeYN=<6BH}g=NBuj`37$Fv
zj%z4mj;M%$pWld3>e=<=LtRE^2xqVGe^3di`ZG7wbmgdJX~Wb2YL{(%Tjr5#EV2F@
z&L}!&|7~!nii&+G(*E4epujE?cpKp6n!v{~-bBfP+5|{j1G*Z35MXLj5e_cV%ZWuI
zXILqc!z3=z2ZDo(WWADqskN>$)W3pG)7`=o0|02o+`P~;ceKP+TsM#tBaS|O7}LP-
znZRWfDe-V{Mf12QR<(R=Kllc}=<=^P_tw|xwywF~6JVx(z9cCAuup{!HbZwW%ej5o
z{0+|cymmSVbkQu|*VcchtB%~sw%J;xHPZk%?e=&(dU)fo2|zs@=s@*OVz2%8^Ca+@v_C{Gu>w8-2y%hv9FDFYsMpd8K_tc{qGT#bfoCa1U2aAS
z#5Z^lM2CVJUF)*WZ2Sw4sH@Wg)W2Jd5n=%C_F6c|nrr$fKz%IeDgR{m%jgP-azu2astFBTVHNz45lK>cN;igZMJDcclHoqWgXb<5-ZF{(JfM9^B
zW{PTL_>A;d$r1ooMgID=&EHlFFn4O1^WAQe^bLV|As`7jXB=O-2mUE=8@NF9kL?2U
zL(MqZbMTbkD|C}x13F)DJ1)JeX(~PJU0BhmbC^n;J=O4e6)qwIjhFb(P3y`NrQt>F
zecGaZM_hKhy_D|8$f83=F>ZBV?2+m-1wJA*w0sZ*@Xo&?w5_e>Yst&^>&F*0zH2PG3=MMb`@=LMJV
z>6*FkS$o{`kPbSDw;s(9#?vGR{G$(4M#7AaTfn$6-7PN}k1+0!*P$UMSPh*+K9Z?6
zug1th0Y*pw%swSes%4w#Z|-7qcc{a=_CVcR64qqs-!*~Ggot-f1b+*6vd|3Xfab5D
zP$rJRPib-oZk|%OJJQ=EUw
zK=+C$u+Z~gN>UaFj`|ST^9B?D=s-->L3MgMI9fc
zd9WZ59LhY49*gtF)V$Sr+g#wWi`PJ@u)Yn!17owR1V|uk0b~Q9Twzc-(AAbY2P<$2
zyg_JNAX(6J7(;+V)Ki&JnTJjk)B(749rr9Moq_2P&<|F2H|4p@a1hrXxspq=mln2s^)eRV?0UVC_Has@OmgENcj)D^KvA=};_7eUzzk5jAtgE=
zN48T>VSD|hFFHPyxgj$dN*P$sRD2vKl%OI6H{5E%Hn@EeT?O!NVmROt@M!#dSqkSn
z5JUMHojeK7L05v#rU8~AJrE7s!!38T2k!KjqW+yD^vA&N+Vyn=8c(5+IS(Kxvh`s82&23?EcZWhQ`I=8rGq
zKhNPPFvg7%9oG#!_213@&&$BHAX(I3{GkJm{eX$6Kj6?3J(Od?ZLb0@4rpo!C0h@A
zxgo~nU9udy24nbWcicGc4`W8~QnLV5=UOU*qnh5I@LS(D6COqlM;H#6868fHA!9gQ
z1Rdia5rJD;l$;#Ze@Fp;B6BDya#2!983PYvI?(Spk{%PXh>o_U%@0uPd5l7-q0v!ah(TOY+qZ0`rL{upM
z*}X*YBuH=owh=9qM{s^V%y(3@d_!qd7o)4PPXLtRZmESKw6@@d)|;#~aOPNmeeJ&T
zjkXXfm;>_G94l!6$VT2zz`{I=o&w3mx?U6yySamW+f1;~|L%1zGqPy!QY4S1$cs-?r00qdrqQUr&kA5}#*w
ztEi_(Ek&vO6*Z@GkG8qxY*!iy@skDoTrjJ@ee~ZQfIU}@GIgSxbd2=Xmal;+cLJ#2lVbqa^pz_{7X=X1
zQS3%B&Nt8&e{G=HJ{E9ial5K(&nade9byV(*#~eu#jNSwr6MjmGONX*Pdh_X5|?LI
zdUFhN-oIzshx8dyWHoKwng&^DiVmGZtFTG{UzG+9#+eUFyjNZuOasY#(KqW03k&b;
znkG=-{JU}YK?;q8F;9kO4BX$@92HP(WmLPufP@{VcrNI%VN(Id9EK(#|E|c^;9<8VP$a&
zq?}V;hxeUE`4}4^vBg-+$Pl~6;gR0nsjbzrG**H*b&e#j-3__mNmz2bD9gy51$!S(
zxt;1m5{7g4|A*6}?0+~d^46mX@3b645Sr6+GFR18QN4f%^7MO
zbrB_5VTJ05No4Yf_pa?Qpt-;kI+dQEKD1Alc=cG_gG;ZT+sujBEt&R9*UujFnpKPK
zD0P`z8+$@I3t)C;zJb6gI85ViLr{mk^})u5E8HcQ;B%mwrq1O{gb0GD6Xqr5~Rq&V6k=khwCA44U}1q2g}|qMz7U``{ssUWNsd{VQLHyCvhSn60_ijA^qOo_im2hzkv$j
z^&}oIIWgDyw(oung*N>k^SnewMZZf_PDWajNVFt{>!-(J*HYZUg%~EEL`6o-cybVg
z+ginvmoj)za!_t;+}w|<+GY?3ukrO_W(m)d`LDX&7h^T+P4ry}5@b2>5^+i#Z2S0Q
zzgnY=rw(-Z6!T3k--r+RVar90OwjqpQ+iEb+re&DQnRv}gKC=(z7;oE;p46P$M=S-9|!cibUh;VG@g8T$xJI|hz5`&
z0yLch))Ku(B5&nwvQ5}!^tJ}ZC>{QCN;nC89-RWUlSHUHG;sm9KWdnufYF;Ay1cQ+@!=k|?1>D&
z-;!_$VO&0~vf;;l5Ak_#C)ku`e)o=2+UmMv41rWW6uLn5h2RvLVkHjCD*;~2)Gh@*i)iE#E7}|{91{Mv5b6sxAXTM9ef?d
z2Q2*tFBMh$F{y1+y0<|BXIcHcA{9+3a_+#hMC+#7tkY$D5l%=yMjY=h8f5&iTAgf$v;*O?va)CtM2!1vTIuo^QWx-Nhue(0_m+($q292STIOB|W$;+&
z&%XihtGF+DjAo$4SUaOdoUDYrYk1e7CYKUg)7N_AR90%_*oA`t9lH<9HbNN>uIO)2
z8nANM-fd*3Aqy+>6B2?k+P|awN=0fRKRo$Xl~%IxnHciQx{hA1Q@~9wa%w}k{3jgC
zc9fs_LAU6ebx2c}uk~l-{N$4+nL8n`Kg?~!O+yhz8bGp7K;I6rRzpmWS1Rn2=_d}|j$enu{@ngyATI0X2-%ROCyT|tR>bbeOxs0{!GV&VX
z{`x%O&mmyrWc9`H77ieZ1Hpq<*e$V#zg6TcWZn^W(N-BCk^Nt3a@{$p2egjZ)3cV;
z=c!%SpLRn0z^uwW^sqQX=TVJ?F%Db$yRSP?1_-U-vKNWa7G$fZ<}`BWy%1~@1z?|AjE
z(f2;_>@=_a1~sNv=>581Yie+$hKU}NVGTApcy+fTyQus3(>5y$^%-~(
zrt5B=%J&A_XB+oL6YHCa)UCrbPScXyN8*@3X=9ij#-9{aiv1;g>~weO(=sMahFg%E
zRib$J5|`6RS9-kAnBX&P_JohFRaE!xFQ1V&9OTyWcXsim@HZ@=FCl+`x1J|;V@elxADuHgWozlL2&R4FlXDT}e~#*WHo
zsz(f1>SbRSZ2tP%S>1}D+631I8*Q{!b+)_S%gp4xs{U-L%U|fMvNAHPJ6aX7Q?5md
zB^=vdiDSl$lYKRNPmq
zZ?!*RPKuC#abg2@M{~7b@TR;DU8YTbzB2Ye|M=mqDP%$nbtgl6
zxVX#Kb)()(A;ZFHe3uBBK)C^oAAv)h_G8$cwasp8Vd{EDdkSWWD~qeD%;AGVD@9rt
zg=lOjDJXO*4bleXhZnmx9HS3+qk02MoSkHYyU5#pe5SfdE8MI_@D8x9>5Ay~3eGSI;m|(da
z{ut}0Repb4M1>A*1gzHbSH|?9IcO0hNw}U+oT#njuZ4$u4zO8W1w!)wa~+zDgW$sI
zvtX<~P+TmLO(m};{qG-PEI7ym-beapEGS$LR^z{IqEn$qN8x0OEFT{^g}2P-e;?rm
zkk{~bHqjg8Fs9c*mtc(ORO6q%@NwbB^bDwhjy{L?hXiOa-UUDab0O>nB>@9U0<>Gy
zCd-Nccns4E%D$8(uqsjcZGcKFZ2svP4`;QbzD7hID0T6Vg_{R-_;Wkxe9QFzXJA*o
zNx^A@l=~VoU}zmK65u98ii3D8Y~c1k&q4bDNc=y|u1rXuhM~TLiRGejntsiFat!+V
zn$&%OP%r}^2%P}>U4nFR-R%iCs7ao!L29wOg&&Ai_sD~B@?pnDuHZzcR&mXPHRXd}
zzrnlcj>h7+K<>e9PYDQ(=t1wj2D0H|U!_+WYS!Ll`MIHjR38K77|!w#mgaYtY9`tt
zRJ6!`G<$z{vvCPv4l2Y#7^mIBpdX-!GWx;P!pLxc{m-8=FnBb&Zo@A0r%tJ#uFfGt
z?58161}Y{Y!px=CnK9K?A7l?Lnk3KCF)PV_4Z;r
zn#f1X{mr9Cc;Y+L3GN&H<}MKNfEp@jj>ZC;em+n-?~coz4=II2o~&|^whVJGPwVp~
z1E2kM`6SiSt)H)P;RBwT02bUHh3st3vuP=_{$h){f)q%WQH?J-svsIT#x6mwAa{tH
zv7Ngw@)plRNa=km9tK_@inkO$*jwEJwM}ql!$!z@20K`6->V53Gw<(KL8P4fOj3A(
z_rCl7Zq-5AmmkX|yO0|8e*{(rvOJSM(;OqFDdx7=g+^g~KWVPu-U7j3983YXg3+Ws
z!=9_nd~fPsuk3?u+M`*ubEk1r{Ql3Ul{?)z98t})z;vlh-djfdvzk>M6`La&4_7DC
zs;YcC!qy=)2o19UP@qCdV%wx*XEtMJEk!bm;1I=|1t$o%kP9xd=~rETSZqJaEhjn=
zsup^a#d&M_$KzdyYq=VX;t|@|NTeVcOy}9WS|-k|rGieSr~=7aK1Ba^{dTm;g79HP
zAA)w0U0Ot@&~UO&)^ObqGo2}%^nN;(OU41>$>0x%_*gGo9NbNovo*W|#^1@jAa@g3
zMZNs3SNIoY4EJ}|XMrJO+(yz+(-jR{$}aycp9PkeP3%xqG}u2ho+E(t$OTKRMzr1x
z)`zr&a=T;@p*8mTNpNC_l4$+!UcxxRZO;vCsMAG)G3v1BR=FPkC&(Cp@D?J;ma}Nk
zE~^~#ZeQ(r+W^@FH0F_|!f9P6Sjc`P6U|{cK5#0#lQ?sB>v0V(13jBp>u;|m-Ws4nXVB-DF=8FFMitYOP!kfR&tD}2BkdN=f
zqeqYK?@nZ^#yp&ip!V`YbQ&S1kO5`f9aJg#MlKKFR|%9EKJm
zwE@iGYb|nD&%o;o!Ln>enoRg$4x$SModx&4k$_2WYs{&r``4)dKD?Qk-_ij|ZR1e$
z77(DVz6GB0<;N_REzu&uiQit+-U6;4n@U)g?ND}fb;mvIsrxT{k6{V$uD&k579W)+7W>X9j?ii
zn7fXi2xtN>kSf#?VpwNqXM>IC=$V*$K)SiKif>wgUvBBZRU}t-7NR&O|7f&5yt2oF~M`A(+!IrCE-j^tiSL7{X2Z1vO@9k%(58
zx5(fERR=^JuR#c^-|+Y7lSrmcsdE~3!~Q@6Vvv7tdjg=Br-h4|1k{3Ct^>AI0vaMY
zwvUQBv+nn;6HEzRU`m&R=aDNVKVL2QRV90HVo(sEI&8$>b{cNgSIj&F%Z^npr(z>A
zvEIo@7q}13imp84S{BQBa&@~SW=QJS`TqPu=NVPGj*W#uPVZCxrU?BV@s=qB4Nhru
zbocOJm4lSSr`$|07}%M
zioT^eOH7*Z;?uW#u6n~BXFg>ZdA?s{dCsp!&R@kp74zW1gBMnX^xK};W}5MEdIocI
z^BCoe=g*(FxlZifV#HZlX+iwcm5G3t)qT9k5hfqnIPt*K6Do9o%5j0_^~%~B6)7oc
zP~$|Y-MHzB8b{dKpPPleG_KhK-Glb9QWOY{IbJ
zjjwaYlEuZvqh2SxyuF#e-CG$pSB5mA5SXqU%cHBSTQ2JTNte481ZC9j?7I8>{Je8E
zB_*Y?gG26|>!Y>dk&*9{lao~=Y8R;PK{)Z0ai5>5l;mzFbj_`2roFLg?)FpD$IJCl
z9Bmcn&gSY8PkdXBnYsD+*w|_RfPe%TcXP9%f}-NL*;%X1%*-`Uov*D#hk)Rtdc4>7
zE_Bf!yCflD_nB}nB`7GUZ*(+3CyOQ}C8ga$;6u07b?)%j5fKqu`uhGeGc$D`M@Coa
zVCEYsz-8=t1mN65#tu5e#V}o{TMoGy4ay~goW2jLA81uyk6_?GX~W0=AK5?Uvj6}9

literal 47294
zcmdqJWmJ@J95y%xhzJHD0ul;HcS)mk*U%;1qBKJqprC-Xbl1==HAr_ebVzp(U3(Az
zclYf3e%Q0SXFu&6IWy;ep6AYAUcc)xKv_`=7n=kd0)gPlNQn0S=Cu3ICFg|e
z^HEnJo2@!RC$T#ULz`tK-&g569U^l-y*5bWoKuuEejFc@ZSs@YeEWi3@peOT)5XtL
z%l3D-(_(C1;mdE=#T0d6(c#|4#qF8k>X&2ATHl=Ay84)%nQOy0Yd@O9KY0-P%QB&l
zZ$(WmiGNnJPGqMth5WI^z;&3DP0jJGo7uv8LvWf-Bx`t!Rn2R7Z<-*!ND0W@o1gs)
zSib+Y!JglGeDg~*gbH%|=GW@SyQ2SH6bgo5-TX>!djk2dU)1Z{ls8Sj+?sO6V^HT6H
zEPZ@j8);q6vxAk-#li8itAu)QV#M5LW4>vZNxQR63z1xk%T=i#1=su0
z^-MC=D~TS^94Ow_f77|?Y7_Jmys&Cxcpi(>q*Z<{d^oIDJ?BrloPXYJA)Gc{lZJ1WEQYCk$QAwi)`NTC-XlvFA+)C
z7c0)k)2=o2gq+MfvAr$_87bO
zet1&0PX4;??Ab`{lxtfsS@r31+~M?&x2DlE*|388D;PLz=dPKZ>WzY-y5pJL^PPG_
z!;5($ZVrwx%fdsL*Z8kBkJ+-t{J(@oC$h=q|0;Iy6!M5RdgkflF;;9ZJ>YQy=HObb~?TBbip>l%98)@S`_2U?J+WkfFK9+f+9j1bPcW(Xe@hperLTvsJ}?#pb=){7izTQ;#p
z;pUETwEyRDazm)zwPAgJ*WlBZ+2=@MbLgcMVHJDU%8PiBGw?Mw{rQdHGWlau%G9`Q
z>Fifro*!?F=-R8ZMC&?jp2==cViOs97Pq#w9Zos+tqn*~=tr*HJOh~y!cKm*94wa5
zUYs2{#oOW7t$u6Tu}>)XNbu%{WREA1L*Ij50i~=Y@3VnKvHu=xdkI;;>&{T9-qs;>$=UYOe^xOCkyA^ZAULoE|v@}kDsEa;DiNS@9W-c=RViTI=?8&
z8+Xn24Y=qLEdtpk-gSnZAsibSNrQnthkkxNBgkKpfD7qw6wJ(6KEdEl{(UW(P>TGyUiA1V
zelWfkRVnM}VxPals5@thxnV(mL-5VD2RGL;M(fnIZ%kd!W5}()Bv|m!&$0*WNogC5
zDW4hI{-SR!!vqmW-X}U~^5yt;FLcX0cJ%x(^U7i@Yio>nw(p=D^Zz0-AbGc%!c<8U
z#x{oHo)eESyhlePqJ}RZw|%)eoZicF7&CFDH#n;1B5s_<aS`>>}5~CC&
zIsG8n%eHi5_;lJp_yI{yT2yp2Tai}~(T&u^TAp6U(I!E#CAW;RH`6$+^(bpMfUR{mP5a>HgC*
zAOP+{am{Sq7R5(?K?JgnLIv=+Zc|Pw!@lHyDphr8vmBXH2rL|ix*_0nS|@wMFx|9h
zGqa5QC*Z+;kJla$h+IH=P8K8ozNHN4A(hhFb1Vev-ZqqS??sW6W
zqZ7_7m$A{gZ-Lkw0~7Dj0j|~^^xl7s5mJvd$YrfxZix*%k23snbYOm)FwvfTu4VI}Pcw&P?SstQ>OoRxKk`{6^fI2Jr9j-Qp0=eMvK;(1
z#S!`Ne2+*<)yp`*(HPty8l8Hd3&PaMNc{j(`}U8lfVM}Zt6=0Tip21Xbjdw=GewsO
zA!Ou0h7XUlPKtyC5qJjJna2>Om$I5M3;`*^5=dfNEIQB^ekdIFikvmq#dIxA)!;>csFdu)
z?pm#UWzFrdVM*N?`C3SOQTnjf{*DC!oRKj-Gcyx4dwn?zTZ+^)edgcGxANTUY$!=X
zILZEa1oYnj7Tx>zO>?PI_Bhe5UmUc~$6Z!yhi4^oeb4I&tie|Lv&t7X6zI^__o%NS
zV^g2e9_~-7a%{TY(md1$^X5jrx-H>N&1ptgH!$*7o1RZBfehQu8L~F>}!q(Lu
zqC#*dKJ<~rVsw)k?c0ntGTek&eI(lh@i1PpdJ)A{iTxj+;v0GkKJXd5&t)89=c=no
zO|CAoP&jy&YqGX~Qy;a@u7{J8grBs9On7LqF?KGukyzY#3h)
zcb*F=2p6-R@Xb8(-n}z@aGpe0o>=)HzeJ}{bDC+}#!F8Z@p@{oZNsTdLqF#7}&*lw>Z}W%#BWHyIsplBHWmQ
zP)n3MFNHg2o}_wjfW~sf?7nd!ECh#qt`;bauJxa3*jG$5vrev?$ao<#lb`^QJ0!F%YsXF0gw<8sv;!l*tIEF!~%
z{Zf6#%Am!}tVdkxWJ<+mN$4luu3QQ@A1?isp05mon)+YJfHg;90&Aqt82C~M1lY0T
zYD1{)K=UK0y1<2ZJsx$GP|LuXNJj^;j$66CnS78z6!IV6rT!%qy~++{(_r9j&ca`L
zQ|)m9mBRHsL6^Tz?Rr8Y%T+%b3b{n8uN}ftXVig0T;|nZ|9p^aQ@7VjTD=sdiyBr_
zB6F2f=q<_^kmLA)NvvgHU6&uExw1rf+ucuDiRhctw85{tF33}=JTHVA%W>8EmJSXM
zr_SE#0koYHPCbx044qzi;)&gycyoiioD&`W0rsBn`FS}FWb{jlAwJ#K^f5ib;8Kf@
z&2L%geG`8FR+c`v@RRI|3R<66mhv^EB@xr}?ZoeuFcQ{CuwyHMDKW--23Excq_w&e
zUrDgobg6IeVq7`Wwbm^6dH-o@(ZEKA!{2Zb(oQy!Y~{}Q%`)bHoVH?OD_Pub?{%)^
zlZ(hZI)9hk)6vx1z|rnZScaou2j=~EEV7g=p)~^L-0)g{aqBP4g^x>NeZQvIXF9ptiasJp04du(O@iPg!@jsFvJgu
zF2BOBN)%eR&>E~}bYQ46(EMmP`huy?%+)l!3
zYhdL0myp|MW56`)99?oO-aj3oBJ<9s
ztN-Kn7|&02t_uEAWbj{Af*S4*(tlD?!t^~43S1<4Fc)+G9~N;CQ_2dL+z^Nu-S=BG6bI^_M#>F%JY
z?UwLP?-W3+<0IbI4;1m%b!b@YuOJAXCKj>~Up==0mXCwB(%xZcFEbI&1Y&B<6BBip
z5k1sNn8@Uxe<8WTWYVE{nlTtiX--zC`piy`2Li-*Vk_K*s*UR$WMWnM1rEBCb@&j7
z@AhbwrVylha54NrQVN~)xbIqck$7|7e1q=o(#WYro3o$#I3
z8iyqBiizy8*SEI6X8@Pm)ysT^XP%*uf9v2i=wY5tk>aGvT)7E6Li$;2N8Y`ja-Lp$WF4Y>o3YZB9u!i0km%
zQr3N$FvEx3$&1a0QzN9Fdhm7)wPat#IA7uj*{~
zM+;-W@&!1sCHwV_Psb%+bOEJGPa(20s*xF!vK6rw|mdeF9a%PN}
zb?qoQ=L~wmKxy$|uTTOOp5Nd&7&~4nj}iPL$RIW{LFsAlNsFnvtaq{VEoJ2(f{3@o
zQNYCp1Q(za9$GkO!BYt8u0_8d>UE#$<|kxfw)Dg(t)&V@@_eqdf{0oSk%ONBb-kA6
z+F`YSuN-f_4m*?8KY2|~Rvrou```R?9oG3#)0^<;j$domc-|Ig;3S5JaazK6+u#=q
z!M0UYQU0u*@nh*MP0C?+2QA-7stK*yEc?ON!znIE*_r5TT9E(T*P00p(R+;tynxQD
z((wSVGV=lw^YWM+QzE2B!1QDiS^t5P$~TfAeeN#@c~6=AGPP8WvrFD`
zZxc~E(a$Rb+?+#~RC+~5+>DnZ*3heFWw!$O=2MIDU!80j&J=ytKs{v(M~MjXwXDRN
z1UNh6s6e&e@iKJ^dyB-&A%k;56M)h?DIU3!6#p$
zCkl?;n;MJ}g&xDr1#af$65ElmZS7*OpwfTwN6EajbRM%m()D6&=uax8s(bxt8FqUS
zPLL;E8pt-`h>b3vdY_*H#`JX^+wJ5W=AHd#O3Pg54*D6R>(~qw&u1N^m~j)sHDGGz
z-WW@Yj_R;F7JJw!17%YLI^9{ViuDt5yl}_{(t{h1oJsQp)&XsJ#Gt(3tMY`^enF|1vjbF%EcZGZH*15
z&=apVi2`BFfTW_ScDs-
zUs00W6nB5Ir#UHDlkZYnjdTkMs;ok)*-5tT0F6kQ2@lIM!=K2Ei?8_S;
zAhpz1KFem0N86C_+nXU(ax(xD0PJyEp^+nygHr{i$UBG;{ZRdIVN(dK=|2cW$M`tp
zxZL9bWa7K4FeDg`Sh1OReQ0WFIRXx
z+qQV7&{ihjW?C*KVHZm~%hQWG=T9NR_WET#!TN3!jok^SGm9{iAnS$aQu{wrz}DLorEM?b#C9g)u@1}Fmn;Q4w>D%CZXAvgU6(f@
zYGX|6f=6T*rGP!(Xg8rDySNVIN4-<=TY=jN=%5pswx14J73_~UYnf=Pq~Wy*$$@Kj
ztSYN$^V0*gnl4WYj)>k|y%)u^4-)#1OTEb;zbLUOOIx;A|d1VJ?!zsbRnE^)GMu^OG%q`lZS$9Urp-
z8ig!fnhuH5^s%(<(LhZsr<2gZ+8oCNan-p~Yu&e$7Gr~BOI2n~c&@{P)gj9h6L;E+
za5LH#G%3w0om%%KfYLXM;aftqF#OFdS1-yi`($#2iRrQ>OH}=*RB{*Kuc$jZpY3Oc
z=k4UxQ^;SY;B8=;%=y7N;u21Rx^=0A-rEduyZ3D8=Q#Y;RK}$dbNI$=R#^>lfLCyY
zHuIO2Om(k5`?K=0K}p>Ne?UJ3rk8e{awwuYSjWiOLA*vT?#m0
zDg=2^PyWXIBaUU7i4&whpiO8iMT~}ETQnCA>AP%Q__qN_2Px7yDJ6o$(2M2Z?y;_x
z#_^pE*f{8tX|K6yHdf`o-z>LD;R!ABQE5EPZ73QpZV-b_jkM+-fJkGR%!rFj?37c_
zt`?ST6_V>h@>+m-$nL6zTVL$Uijx5$h!6i-uf>bZ-L}k4IT+$ci56SgQ!tt^)F=GN
zG%y+SmlO#@0>G`Fh9M?BCV#(KO5d3`inE!KejY3dB+?C)cyan
z*%j3U8D0M0)ebb30Ia(h*G#wmHtg6NS?u=I+hyUb6&fak@b_g8u80k2s~1x18ggbR?I;v&#cX#qD!8*!%zye9<9R1HO`^K{wjpYVD)I
zz(7NH2UG$0!DPd)+`uePm)SfS;&F``nOcs^5D)80H#I`T+u}*C(N0c+p9LfJflkT
z94t;4>X*1reg1G|Fx$hESm8`OcLX#dY5{VJ}FXHHy9Av6)*k+6z
z&dM1R$iCs$b|m)+fMmOj*~8-BEAB1g}vWuF-8tf36~-j8B|u``Dj8TT>6QgDG;H?X+P*e7TWp
zI|>VkHp~$cAs|G4F+$u57X`JH7oj8zeUCskPSc>0ooFPzEq&44SVRr7Gefc~+mcpc
z?_xR9TVxxT3?-;ny4%m@(5k>s1oGKLO|QPu?!=`yA}N5=i<=GjW{=Y3GGZvGoPx5W$YcJn^nwNNAwkDb=lU7B`EoYLUcxTaz>vEH4^Amy!T>hR8Z
z-4xLUo`Bf+L9j%X9xxc0lxWJ!yfQw-5hFRb)X2e=`zGo#GYljp%5EZFsKpM2AJ`yI
zENh>RO9mb*(r`P*P0peb8YF~LNqjmhi2kugqI10$&u~vLat1|`Hq|8UGNWokD*-0s`B>b89%oeFE6P
z0F@z7g+-i0ZFfR2Q2#BoE^{?;M1VYM?U05+H8|Y#<_%6m25Gu~3}dU6G>LhJygDS1WPN(>|@;R%LkG_2(fBV$sfU(o|V
zV0co0At(%s{$b#i8S1uk_A6-XpGjxFuxN*FLp5W<$r^9UkU~GeX3w%QiJjUN>`%U4
zMweid>(S6Q`1HRNs7K_Rg_NJSo$DNFK|r+t6`K6Kll2>io!F5t&6j{paF?hdsP6g-
zE4xn)btlHw#{64t!|76fp9{R-5QjbqCAzD+pPn$L63BiTu81p2GM>QY1<^BP_4YZ4++dGpKTr#^@9WZe~)2cc!`~A6ih(=P(
z@V}tJ*8oj36Y3-`3CpKg*1V}L=ekus0!?Jai#V;1K9yuu|L^^oR(jll^jE&5&z9hj
z?{LywIYI9BmOT_v4U0v6?v3B1t1CY6p%MQC_3Bge;!s|cD&fc+TyUAUrUfG<&pKVz
zctQH7emf|k?R>;$ZBF;{HWqU*(SHfblATh@sI+-rSekC`|N<&R4
zl8|{|fv>J(WR)f+N@&G82P8M^j|ed$Pm`qQP9=T0_vgCd7*=2y(aH@3BQ3;>20NpX
zf)T{`@t4nG+=B`FX(JM{SONUL9_JjW~02{;W3(>U_e+EHaWP3}3VGkPi
z&nsuCz6OsO)4N#iKv3cHh?5u6d*x?gLht$CEP}*kqs73`oAGMGKvQ6`&G0!lyb;_D
z=|(G?3G&tFF&iq@FcEy8OPzxsMybA?tbT#~$3xm`ZU7$ci%sCgSC|0dI?fMDG3%ct
zN)LsecKXZ0!NV6gZz4!|Pbd93&d+q87Xk|45AEnOM$
z?a|h=KLmYJOcw2d&To>Y=jmKyYcK_Lh=IFbl`84-7X{GD7-3a&+bm3f+X)R;n)3hf
z(Vt?MBQ5CekUek)!3N}McwX^sNM14UZFvzXYZh>9_(9ei;wX?b>wK|jD;)5x
zwt?&zo
zcL0#w;!Y=8%NP)}OU
z%&v!vo)9h3MK4jn&qcy_P62EKvJFCs(9PNmz$O@1ix2+IqMn2Wg{2jo0iwuv)0O{&
z7;$gFLm3;tAY>7zU=Sn>5D0K9t1Kx*R{I?#@SWZyhNV7#AO==PgmO339y_H@JU?{O
zfW{)XcZ3WG|AT&Eu_gB@^GaFewC60W
z^1Ma)8wHEig1WnQ%nUOII70PDESFxfZNK7EW*#yyMOOgqXy*;>vp`9qRMw~w;g){&YjpqsYM9ji8+JH
zsr82sSA5?ov4VxK`@D}h_1%{u9rRrXgeYpBu5xGauA^<>g>iO_P`UU*OB$srpllp=
zw1zT+tlBFqAzL*I)^7-^WB4O439qz}t7hY4A=7rCo?3h-8JuF~^nA%BA!T2s
zD7>JowY#6ue8|fcpR1Ly4Va-2^u$ZEzTKys@5N<%c%(#PI|WQO?A
zb~lu7Tm?2|@BzBxmT3bZnUgnYOXiC|RI~C(BUy{ddbB{ldL5qYbcobst#NtxPIUHi
z+tqn3Bih>5RzAwCgAFG`m0tg23t{zE#U!;%J&>fQ(B&zg>q`
z@pUlbsJyU)P2*_v^ao3|wCaM}$mZr|?PMZsoqqa56YfFc0%y|cPnVsUd^#Ps;wrCm
z7r?zWRDFE+?6A6nclO4@`q@eRBo#q!j$x<@mJYt
z!0iBJq+F1iMDUG=CUBZ%pfhh0kn1aqE-v8=o!s-OnRmh6avA-+F9$`?(Xv=|Quu@y`&heB9nIx$Z%vDGt?mxK}&OS`)wtD9w>pvaW
zHj6$^Me#?;CeU2%p9nr!6KlwR@bo?
zdiioQ-lO`iRvRPv0p$2yT`LD$GjElijfHBs*As2fjs4@x$+T(IDWTHp8CmI*=Y|Iw
zKgS?_P0OqTUKD}&K9$Z;CG+Vq($>&De$6{qll0_M-A+cd!Qh=og2}q?t0ct4#2CG6
z*>Dc~t}psxV`B%=O!2L;Vv_-9G?n~nLF7tIvJ0IGhVjyYoi(v;p3=f
zfOa1T9%DN_04c|6OH5`%$KT-LlAdoX)Cqr)wsny_Tt}g{LmejLYR{MYKHv-8c$>Vt
zgrZ@BeM86f*Io&*^_=SESR0KCHx+_4v{4yS63J&Q_%m;*RZ1{fK}2?rh(}YBuaE4n
zGry6;q=9MjNnE|Eu-llNy*di33<(Lzg)-1gJbDV=#E@zdL?q^i1A<;8JNKo$#7y@^
zhduxb|G8T&RkS|PRNdGT5C1de++)Zw6la@%ZE7%7!}x%F(g_C?_y_;S^yG%aBvvKh
z6nlhFQmUP4c3lmaS%#7kv+AkcP5l1TbcM-Gv0@45V>$>DP+73Lnb6Va{zi0hJ+jti
zFLN~F9%*Rz)Q!3LNKsy1j@R$ZcvPpia1Ch
z6j?R~uZr~W&gKd1)T)VGt|^5C$Ax&zR)y~WpeMlo8DsxR{*@!jqi?jdT$R)oAgrQ?
zYoZ1(e!cA=XIly$SID&wMl&8h8Y&FT3H))7Jwd*3MT-!4Nbx(zz9p=jMTC3
zDB{1K(gXo7*~7(XP-R^V)(XgSmUxp65X?ve{gXqG1aLVSEr0!-Jddcx?o$u3nc1>3
zS6cWeB^;kp#Rcq@K;nw?BKJ3|SgAY7Y&etEQf*e=Z<9x#Kx8KBJSwTzqIBPDf0)#>
zPc$yhCVl_sO&F?);_AZyIiKTPU(+LzJm8zPX3uAiHOdEu+k}tUFE3U^M$wK0Fs4~8
zIdD;2X;0+y(nCuUc)6Y4NDlQeUH@oDhplX<^{f`{>jm%#X#gh-0Sphr>u0=?92G@p
zJDJ_psknD~)1&C9yaIG6DS&6$6j>!6-jAk`lx9^dZh^WKD87KAzq3R?Ca^GhG%yGm
z71n2rYYCOIe@89PNv}4is?>arU43Y~bfzDO3~?O>*?WqqrhPgr_P}_oOu**KYw1c7
z$l@zSl&|@aYVDsy8RDpWmy&PrZG?XUL7i*}?==aLVKBuy!7-BigA4z_M^P}jZqR}($9wM$npU_mh)5h6{YaFje9li+MyTI}!vk`IR%(3?aB>
z&}hT(dr0XUO7A{YV7@Jud<1vipY7ua>HPED`$(o6`cHyi-3#x7vj@2zm`9QmCew)nuPuXf{YX1)?
zDD8u48pwzANpAx@%4CO~v23b1qbU;bhBZchs;ir7fpQP+h~sjfe9J@MeG3<q*h4BLj$UlM
zXYcbfna-qb7WX(KS&+ClV>kKt_O*95pK}9?LL$gJ?K%A$@Jf3|(J0U*cq;;uo4Tu~
zo-!)$
zUF}L)dQXunm`Qq0n_l60EviYRnd%P)N@TMKfozP!%~9vw`s9ShTuRSK=A=!
zg0=7n6ZM$@5ttzMOF#|pj3=lM%M8~dR@)E>1;ywL8nMEuwE{pGX@=Eyn@h!wj01L^
z+D#3k16{+=?o0{|6Z&9GuW*H>SH@qA}W0Jb(!hk<$w
z5;EqMp1T3Byxsl&eND1)vA273;#do;Z+ApaL#bK-xxk)No~mmIh9jneU9Gw367L4Q
zc7dMGkAq1JKs10uv~5}9+agN}wjB^_bZe9VS=+TbSI>q5jgGHc0q9GI)#xFfpY>hI
z`;1PXt|NjfL@()E@<8YwYK%}z1;Bl-&8#wGN2VCad0KC
zU1z|UU#iR?=}GPQj6Q>4(Oh{5vxS)gU(;UGFZ`{zaMbE=O=*qTh;-~$;tG<5;d2RU
z1tI-`=AF)iMhcmI3o(VAg4K4DjFvc2v}$WPg1Kn4^q=lYevB(f`LxvmJ9r++ru)6o
z)b)dZz80aFKRtk94ICE@*lQ{?2W<|`M$suVjDO~d5O^Mv`-AEoL_-3WmY?!qkm2Iv
z8sx7N4w{|M$$cHKOuz&80F}BJo+TV6Z*itQmC{d(g#3U{lfkCChiqwj21=b8iU
z@BNhl;C=U@w&(a9By9-)UZuVVA79o#VInZhW!x9e9x3L?1SlZAPwPb@2f%9y6AN1l
z?smr4qEt$gpTqZqS?dWp*+`KhF&}mP?JV6aB*)eC2o3YmMQPMaZDKXherlJ4acd;(
zWzMdrda1|CH(Kx(!d6isnpXiL?&0cQZ>xgZ4I2Ilz~-|8j283+b9)h;kp4q7;g@%L
zDY~)sx09L!CUea8ML%_(1pkG!)c`{H4b3o$lMrYH$+`5AC6?)m!jh6}bY3r?1|ZH`
zd@yQJ20*Qd21&?Ay-cHOe}C3)IuAINYxm%)7S9ze;(Ox*zza0-E0>lcXSQj|a&YkH
z=VjZo2tQQaH^&S1L!WQI1Hc@LUTwzb3}fo%I3IlmC7@S{bi8)!dVK$Kb{j9K%*2RH
zBWB7xqY?mN&~2qLQCx)%&>_?35q@(a!_Vx5Podf^n)76?I>DM)T<59>Z2_O90WVME
z!ZV?H^+L@Kj3U~HM(|zA#SqrtF0^cZu#OUp2us`G$bmYsViQrOnb~rEy0(=XFgfMh
zCVa#rjRdJDvI@vAJxQ)-A;@O@wqQ+IoqOb9{F!*s{EDu^4|P@MHpM^W=)N~T-o+7}
z1P-BiRMIHzp2GVLcB%>|=4?x&!ugRgA_|YD)??~J2ATY5e}7eumW^Xp6&b1NjUE09>@agFusp{3lc$Gv
z2Uqo>Y=J!8k-U-j;T^Z5lB-K3TQx?0@rIjvS*#qOC)+hpav91&%SSTfKCi9@CNNF6
z?P2^b-}#6T(--lN`uUS>oWhF?n_|h~d_A99l-q@gvj4cH-t?M3t1U_s0NEjm=HVo>
zeSm2WWH0XZ6#9&d`1!A~?}+wwCC<0T{-Tl5m{5i-bQ)HJV9wvJS=c&Kr?OH_
zC~)#rZ5Um>5Y5n9@PIaW_W=;4B;Gic9fujYw#|T5`Fc0bn%^o*;Iy=U=TV!;Ax32W
zG+{Lou<1@YrO-Lm5ad5e~S6CH=&sf^*#`{ri2qYL0mz2D^DQ)$qpi$7T
zfR)ghP$A!LEDfq|I{YfuyPMFw1&ceAYK#StFlxYU1_(A${ySiJLFF0n(}PXWTLRGu
zrg{hA{{pH%uhW1>K)*B-au>T!+PqU4a2-Ew67&xmwKl051Y`hLuKe*CeG~uchYF!8D+?;Rtpr_1AAkxPs9U25&dxy5){WmBc
znvO|EQ#Wvx{Pxvg?Q&yogA;Ck&C4th0Ce6eWH+9Pm@<+B7@c}tD|nA=yo#IdFd#h!
zyk6y13}5|oBnEsg08~rvf5At?Y3TnKfD0yL-lA|rw{+qGy(ieWJZszs*
z`%GJiWWlT9qvM((Z5wWaM{X_eNO8VWN+sLMMkGtWd2(Mogn&NopGhh;9k%xY;yV`2
z+gtY|#NWt}A9%V&jA5GCwsyHSkdlX3?Ag|-v#L8EIo4BH!={ks2}3sO$A{r3e^L7C
zSst)XuYxPq)}rbHB-@tGi746YgsaB8~x#YPIlL5EkqQ{Hzn(njDI>{q74
z>=)XPdz*iI3`y-tU*jgdLidsCgzm#IHvyOJoRgw>a%|SrZb(_sT8v^ffs!shh4iMHB`TwLT^Q;TYG1M5t
ze*!*sG&sKBv+a9o=Tr6-H?WCzWba=4Fg$br`-!i5&)%8iR%T*;`9q(l_bp7iYd4Kn
zSv*<_*OYi3RlJvy#G8}HF`?5ZjTa#{TBaeI(=*w91^v{BYwq=d$C2`8;)w$S^(3^Z
z%;4s7#~0>`)xW(F{^LpRSef(Cko<%Pll~&3i6T*l{WPo3tMl$1U*_J)RLf4leXKr|
zutmMGl5kY(@uIo;QLe(=BjxMZzPdT1^(q~&@4V=_KRNswbY1@XiJi=L%VSQ~s_%8J
z5$~>;DVDSSQ)=w8UE+S~+%6S4P_0wMlLj0E_78F^r#v#0DgvZ`lfH-E)g0}!ANse6
z)HHh);>y?UG*gfFM!+&}m0Mkn%gak3QHlL4zYD&6(uW#_l*?1DJ{?m(VmLmdd#kjc~MaZ$;f_10T>Ey)k@eG)~#z|Y3IoBKbg6%{2IMgnUNSz==>$g|AV@-Uyg4{Hm&@A5+P9xgc
zFer}xl(}f#5*OcCZxgxtn0as|?r3QoQG$Wp`flT({J?0vp-qM6lSrcQU+vEEtgMG2
zs8npnKkP}zv@d^(sMuAFGv22*H`rsleCw#IKUWlxQe#Ue`J-PRa=L+o<3ksHHc?XG
zMx=LN2|d&>{>@Ne-#CU&o9!Q35~%&1$!V(lT|h?fntaG+=EI@u5hg<1FoCG8R6uF~
zy)s!gT?wR0fqZeDz>O4?QJys)u{%=Svc)oC6TMPiSlQU*e77?=XAlT9^;hxNC{3fS
z{#bZ!HM_t1pPek*2K=oiUbOhX)G-9wWvL(Z^QS3);qQD#>A*_uUE0)&Qje!v0#0K!
zI*XX+D9>^^fa;}qh8#wFsZmGzBn)4ugCa06hko9>uQr6KPb~viNZ-yW1TPk($
z$n?2nnfMj|o$d3r&%72PGu8Vy0{MM}O!qGs3k}`J^j1zHGL{H`dcGe0=v-B&*0w9;
zG6{%p6(8OfYg|Reh?u@RXC(kfb>9*C#Q%8UZPb>9%`9TLqw3$#g%D?}bNLe8
zqmpkYfi#9^B)jRJ7Yh9+Ev)}Z%hv3b-33zfngK~^=@C6sEYa~ywRkHW13HWQ&miy7
z&!=!-71g=TQKOwry)EPSL(1;F(q3C#cGo(x&ICA9#u>sCW?Js`9}vjLYe-dobFu8h
z&U6jbEyAW_0kS5(|7HK)t^NthS&6;(lr?h#Ted9<`m6oydEy72Tj^gll#PPnbW@h8
zA55y5HGYf>IIT($&e9*}&KI~+zX8wZf2yN=0b`iq}aHVhV?jldMHsSth
zj74By{!3u2jyWd);=lcoZO=4gf$0TOgU!uzVIl_grhM&S+f8^Os%&XcjzPAvwC4x<
zkg_S*ATLvKjdq5Of~-EUN@8WMH^r+@lz5pnoHn36N9TKmTlAXA`
zbdk5cL>tE1_UY>XRp=GJ-|A;~%c@J+l0W^jc8^t8z$u%jt>)%nRH!gT#mkJoz5+IF
zZqrUAmo`2~WxIr*48pK;!X`CbL0Zp0u#YWC(fJ}iU?Z;O_Wc&}_1H
z&z**QT^@cS&}U-2OLemwJt4OqKRGNrt@NZ^I*F^|y)eTNeSiw9ezm2h!u{rO8Zr}!
z6_6y#ez#i%_f+gv+1qMgt6jx=Z~tT`S_!#nmlNX5?ud5Td%lxEE24PaH*|Mg#}1CV
z8Uk~+KgSeca11!?)!%M8mc`U3!o{>tdNH!&A1c=(-_H4O-^ug4jYD2Jw>hK&PK&8c
zIyLu8wCjjw>4Tu~=z#CvEe`}vgVad9?u&Z`pgYc^j`&69&sm9AgSSr7L*v5wH5)-h
z`8)W9$$jRmzY{4`K6T>`lD|A&h@bjB+_J&@?bY+8|L*>12C1=Kur-_1>4?J3G{<*Y
zK7WTrr3Rew@8J;l>p&aYrH#+NJ~%dBz)AeT^5*qQ8jSyMf8E18JDnzz3ETn$>m&6?
zz3<5aJFvUmuHXI4+6hc@p_&tsAN74y3uVO3ZQZ-N?nE)?_m7;Gz#0v
zDuvJ1Dfeg^tDbS(LVdoCTzme^J(}tdQS~=Yj$8j5ZEqP=Wz_bMZbDkRyOi!yKtMo1
zLOP@yWK&8C(kURI(jg^XDr`Ch1nEW^q)WQ%tefX~-#H)tbLN~6XOA;DJMMekYhC%f
z%G&sZ_d*R9hM%y+9b-$ZEDsw-1R#j&F#$pE>G!G(qif;JS=nHX-d)`G&=e*s`=oCY
zp6M=OPhrQIhsR1@^ZlB4#hLrpcCqouA-N2DgnUVri`$gLtX)S&6uvg0?c00L<4Tw1
zta~C;+P}1)5oxzO4j(Kn8b-Zm;UM?n#j{9az=x=ENT-dImvPepnY?Ktpt1hi%fmvi
zqf7q4VeQs4ktym{6=4-ltlXJ&rcN?8QX2H7Bwifb!Bn4ndKx}{s1$Efg1GNT+J&0r
zRaW))8#r|Ey1?TACd(S8is_j#`i*Sx)Fl3*Jr3Izm*I&c&B=>Khb>)0rLs_38umBL
zY7!gLJVh#Fd_P?BhOe}A2LQwLHm&CRrXeiOojMl{adtJb*o7&shKI3NFbjrP)(wrI@C?Il^n$DRF`19!Ha`mF^vIe~+*;z_2(D>Wv;fRA{Olg`W#
zg`&3KuNY8jQTiOTrHNQ+5NZt_!IBhA`$Vjv$QF7=2>OTc%Rh?$vlWv2-2UMgp^^lx
z_0$Yy5Aaj``AUAy<;n~hptDIA4*bPj8}8d9DDqEma-1BFWUqSisdF1nYquNLl1;79
z!$w}y5m-@uoxq<-i~4eUVwG!xT*C~f5F@X?{8Ynr=ve>mRBaET=Y7I+XK*d53gU{D
zHKF%5ZJO=j*6*Zv+GKq6qDrjL4YL*aArI8Y>{6zyGGp3%1`8=S)FbmX3dt?2y_%qX
z7Iq_aV?5gGNnk3;%F?7?{VH_xY1Al0RVkiNd7+~6RI#6fSsxp+dGk8}-G0_?M~rKW
zKd0wAHoPz6G3k6FRBgI~M^TVoTpqnE%XbgWQMleX#vCKbqVaUR5O4vC{5}!C
zQeqj?y%$s`+&Z`T4#71ErZ;O64IBi2Q-ZTmetiqQVhD0b28*cVJ|jX0QZzYnwrX*}
zd?nE^$%0a={&jea+C4d1XWnz=`-{q3_zDQ1uDf1&**6aDTLpj;Xhn9_^
z-!;!FK+R;#jBlgOY6Qght0VK*xU!Xn4}9x(jIjSkt$8P)W-A6}QZu=W{9co-ymzii
zkga&(*ES}w!A=X&Ktd3Sls+dw4&M*)p{?4FdbZaMHn|l_$|ILS(H5io>w-a
z4cg8GI}YcQ&4To;IZ_6#fSK0g3_hQq4h=7{AJ`#K!J!;XP_WK^amZ0Ue_L&J
zR-tzcpv3Y_XN$u+FN){AH@z~)uCUsIC0SM}a9)2)NrULK-SSp{Xg{!{xMNnU)(k;F
zlktw#nzO|BX{)pJ;dIVtLfQI=|QJ<
zZ{vmwy^y+G1cO>lR;_tCN#j?37({zQ9gw7dTl9eUKnl0j)i9%0^D{oBDGvObhaLXr
zMWrxw;^+2MK8o`7w-=H<3G}e=RSVcLRfqG#P;Uk!|7Bwwf;bEEpq+BIqzJ%}rEJ^#
z-113&Ju(~aRJABuBX;tY6gV@M3~4H&H)7f}_u5V$Cr`;iwDZFpNDrSjNU~T_;mjtK
zR2$!0A?HUEyfd!MtC~@I8irVQ&PzmmBKzyfa!%It_qanHP%@n#{%Vh5cR-)$t}%8%
z^=H6W*N0Tq)0McG+Uj@AH|P(7rIFGa(SQPs-hBe`LU91#1&7B#@f;{QY6``u`Cl;*
zp;YVRb5UAO*yY3+Yo$)r)uo%@YYXV$A;fqBHpphQGM0epSVD7A*J}v;Db(2JIoX@o
z_YgA>vDW!Z6i5%9?}mp@{f|LY`Q8}~+=LCdokWsFRrV{u^}2PT(;U!B4P`^|PZ+2f
zVp%!oJd7lkX_-2C>RxUcwLk5EjGbo@EU-byO`$Z}k2YzX6b@4_x2*Ko;O!I)l>|$#
zECV>gPy&HB;Rs6|-s_Vx*(ASdrwbPs&S^P1xJ{j@JWpYv?jJHIxZzrvN7CAeV*LpZ
zaE~~WC6m8XM}U0}4;Lne)LKtL!&1IuPm15P{NlGs{4>^2Dd30Iilnw>Vl{iZik
z;BSoYJX!k3cH%b8t%{H>wF!x8+nz3d8-O6Rx}v&N?mN6$SS_aV;dcMCZecUO&J=f%
z`Df}Ja?b(45$mspNGcwj$N3)Cbe;jj>@?5NPTag+&_V==i`lyVj
zMD1));!F-Gk(cq0PvZbX0i_~XX-x=(*D>QwrL?Sp+_n`}5_LUSks&JYyNsZ7k9WPz
zD@>S{ZJlY2q7m}jR(J~TC+o+_Qa_C2bJnxrvCG>6vB53991c^{sA_ekwO+R0OGL`Y
zPmab^WUouyxwpx`Jq&1HjwuEf61q#Uqz<^3`tDyJ$^_&`Q5Zr+2`BF{ZdzK0ow!a57ggg2I`e*Drq%HfNb)U2!M3=w=K3`JjOjNRM}
zR6Cil%BrlasM;HJDgy(D`Mf7%cxWmJ`r9!K>=g{?1p~lu=9Y&O)Wpd0zQmAd69Uar
zvU4>AQIQvsUocB{6OlHd@{Q;7vkG8*m~Bq#%P48x)VZcs!CEFuMS|svADl4T*~oxB
z&pB|6^*X-rQo{)t3OjT@sVe&iTx|fi;5Cj?1&|HtW9R*F=)}&eNM`}hp|5%+L_%>Pg
zfDd>&K(VhoqN7xg7E_p4&na3*7vT8X_WZ7+;n|pb`W#{;vpYcUIWp#{#zlR}RPr~o
zv)B9K_p*?IwaA73aO)ZHVjuU={+)@4Vt(kW_e{;vXopC-gWNAWVkl<0t}4Bhj4NMC
zEVju!!d9TWfyRksUIgMU9V!4TZE`Hy&v=b!Q?(A0av%X$xfR&vUJs?z{@0ahn=G}_
zpa1f!x7c`k&n6&>8K87#mpsc1T6405$H?${o$@IqZ(nr35=b!5b!2FT7nFC|r_Ka?
zb<_V!LJY7Oj^<2mbJe`2fT&qiLLm0tcNHGP{CwxTIKbBR-=$QItednBKvFF$XL8r5^1HnbFx&pFvaF6H&!Z
zdsZ|95ukJms`(%vL9=1(=d!?9*&4BCWvSqA+|+6stbV?7#CFtl-B^=*yBZ$?F)3DSg0g65MhUsr+m(uhs|%f@=cGJ
z9tXQ%2LAT)&Nau>17@QQi4q#5@5b@{>=?3}EOrLf8W4w9w7?yxm7F-KJ{V!K>suTk
ztSEn5kZv+*Y$ISn^6~Mf#?1nEZsl3)gfqgql~s1M?7pId7Z(iuW16MaDBOeS#LKvp
z06}4_o;N*{0rc$?B3X;CZo)oeYrZV=c)jC6!21F`3z|#4CI{?9kH?BMfxtAkq7!cn
zH`dTBcPGPI*dCC$WihPVD2dGLvz1MaM-41I3b5H$l8q<13WB(D)65=;DZ9yPXV7$~
z3n1a)MVP_JfPA(%qo>Y~NRYl8IGyu$CfvF|_RRmV&r%fo8gx7gFevSnDMON~nsgmM
z5kI7xVzlHGK(9#;eF8Z+#{!UBJU?=9ti85ckYI-of0Vit&6{TM@|nM}7T<*_Zqe)o
zmoBT+zA$!3TTiOU*OdyyhuqmHxzXL=hxDWNhh@Z(hu^_=+PawE!zUOLl5tC)Ne#_
z%W_L|or97^Vfq{6k`O@~LneF`wN1=NJ1#+3L4yC|l$}z30P-LHK=;e$i&e)72uS5x
z#w&G%p~7T5fJdhe(5_3`|
zLzx6F4i8K4Dsb5srebUp%atTByLxY@d4@6?*3;jxoqZLUdV{H{p&al%%!QR&n4$6)
z#Y151iJO}(2N>oJgxFS)*Zgh=vXZ#*ZBvZeCLLYf^rSxr1R3c|mO%D+d@$jd2TBcD
z+eHG8b_?s6&8i+pnuP#h;NSVh7~MM@)@Y7Z0Hqo+aRQE)ed$(J`DQZgBC~F@)D$?R
zbJk`Hq}Tu;0(N=H#RN_oT*<)jpFfg!HSX>kt@60fy69cIgIRC(1OO2@AVFG-<=zNi
zp0CEUZ7y6*<{5qDQ*#XO#OSR0?L520N+8aUvc%c*-)YU=$Db&3ydXSI7DW+BPS$PK
zeQ~c)R{?|-82kqHKAXxF9A}Nljw%e@1DyVi#pjz6B)U;lO3jMhy%U4&~Nvq1WR21tM?d)!$kxssgG1hqd^!V
z-DwRh1Yp^;yX3%2X#W!IQFtkOcn={^Oav=M%fh6$!X{TMmr_)cgMtIj^G+rFSa}ve
zx_+yAMPAn#VD6lN2{wy>Kxj#VoN<%QEG(*_xQ5UOEc!l10t=KQM
zZX9Fe&ys~gA(D}Abs51!?}+-R00IYO`S1>i`uMyGW>IU_hrFv1KACZToKRF8jQq#j
z6@a3dQyVS^Ge|iW3Ke<@eKKPLNLTy+wAG(JmIDC^
zs=liJ4iGP82~9YLA57|@)Q){P$F0$;3q6)`VXm<$PhiKE6UwLXsjK98t;KZ?5HrI^FYgVog2N@hoHy?8TEhs
z4^5ey%#W}7-hJ||xXSKSaISr4q@}`p{CSnV+&ND|e0s9j0>B8;D|_~UgBYh~?nvbK
zjtGG7qIZ;~iO8Fr-WrtuoP0C_S`|
zxiAGCx9}r&x|*RtkHSy?wpAwC<9{ZT|I5XA%@r_+8ugUqzsy@#r0CL)21pFBr
zLE1LzNoBc%gh%n9hjk)4E+VzCJ+;MP&an)oE3yj5f0Ouf0dM<81!g89f5yRuomS3#=SQNL|f`6
zWAp};%XLc=Toa;+~e6-lmok-JqG6hUtbn^;c)Z-TvzY*T1!>766@$w#Nwq3
zjm>Nl6J_YGn-@DdK9(s6#yqmmb`HYy&i}%81q_N!?+tcu%fRT=KVHc?YMCp;w=Dfr
z{qtcEz&f;gr!F|*^?=rU0mS{5ixXebXSILfH5EWBg=gis{P?>^HXMMNU1|C`OcKVgD|qaEZxk||vmjprK@hls@tieF
z6su%M^e6yP`r>rz^Z(=mP-3nTdM3)Wm)${ZXmDi%bv3JKL!WouKfmn`ZOcmg
z9ccRE+iYl+qeK_CEZ&USxPSEne`k#1_X|2UMzCW7sbAti38FnyI(5LA>E@{kxBIa5
z)7s?Nba$N3Gpun_n;(kY3^{zyn+?-ZqrC+`Vj5r0CioF;L~A{njIy|q1D0Qz&($?Pk*ap8exwc~CiAb1l1dD}
z&FphjAQ^tv|F~N0&CMaLe0N%X`&T`+;`Mmf_7+&i-n5Q+hydTiFGY+eI&0n>MGpbo
zKF)ttD~Ak}2}XB1?j1`s|5ZJat$fwjyunmdiR(mq$dZ%ywDmm?0K#^r*b##o75di3
z?pqFa=?bP7`3Ng?RS*rnP@`Sd+ln9u25Mc8+>NMC;MWHhApEW-M)woI$(U2Ovp`TD
zI-MJ32)Gl06DjLH?rUC=kz;EzVdg!(*z}QvOg;78^(-$>#;F751=VL5HlK^zUXdi_
zP`1CxwtL?{osj?{J%XsT@gq;`sH|Z?=|oiPtM$es0zr@*;Zn-smjD9Z0ARohORR1(
zM4*Cx9zh`DTTjeT^iWL@$wC2WS*OYIho8MzkuVFQe>5~Fs>nS&cDA}%Q$i+1dgOgS
z&JljoRM3=qbNRzvLUyCTaQ`&n(zkAxBh#29F_@OORNlZ6c5D69TgeJhwi=51`
zf-61O(AnjzstIH|sjH3_YB2tFSen5!EmS`KF6jl}8r_@vz|D;XePACNe6d@TF+AT@
z9FZ$5H9rw5hpUlK5CRDbw|&q%RX0(X&iP?Q%MLSS3__b^Q}2V#m{MC*j!M?88+e@T
z*AwQ!<};Z2cyewon45Cy%MZsBjo$d?bZg%}?Kz1mEg+30G@t#g#-q37gzUo0nQWDZ
zC(P{mbp!iIn*x3_k#v=&g*sKcBxA;t^A&@#d1iCcL~4((QUQC|jx4Hr%2sBjjGKCh
zr#4|J@NFI15C2H4{9|cU;TT=gVDyW+?;-_0-63|GFb~pf=q-|KrHkj^Cbo^vSHl*J
zujm_ke?%MGBLCX!Zm#}O;_h*>nYIf(NG0aJyg1|3Bf{jVu)vK++VtN|7f3l~pCS=E
z+Nb4yZthp`A+p~crLu0|Ow>^`bxz5DOsH`M41XW1H{+f)%eUKMpLLW$)HjFp=w$;O9yrQ1XC^K+
zXU%K8`)zhUGWuaWK7`%MF0q!#vJ^5OeG`P@2qND+0dWD>>ie#5v0Rj87JrSM&k?4y
zbfG+6N7-q%(K2Z53Ug88>c52&nWmy@?nQ+QN9p|%iyizin}$1MFU`T4H7{Lcvqn!G2@w3-8B`2D|B=*Uu97Wg={l~e^Y
zOb?RTvlW-tc2s5eSQxcb(aD?qNXq@NSI{m@tExCHe!m4a{1D!nn(uFii^~AmL6|ZC
zE{dlja#x6>d^lse>yhl%q-9shge{m
zcN&7iK$N!CHOg5c6d!nqS&4P??Q6K?-#h@gkG;ud`!RTx^;^}}@k?&Fb8`s^vAs7l
z9`Gb~-vs|rfxyPbuVpoa
zSP91-Bjq3}uK(h>?lH6ezyb)c+uvFu0n|8?TILtw=Gbm2qUa|<5d@q5TrB2_Av9pG
zfpqdzH!z8YLc2|DKrX;3mnke((w6hqS{nv3&q@O7BG>?SyzT2O^xi8zyb=D^#TTd%
z$W{YJSG*)v#0pK>T$Am0+%Ix
zl?WsEhTJ=*$vvKp5TG{;O?1WvL1kpxkG#v#M5tU{xQKvGyN0c8CXa(mb~GY{i`fJ_
zeb)OUlxh(IcxvdPH?^{)Nszr}yG~7OdyC4}EuyfA%=Did-uH>57s*VNik+P69q~@2
z(0*j!Kq(o*39!&z4_=?2As&Tpwq`iR5xj}$RiZ9E;pzYiWG1{vN$={$
z-RUc{v2o_tD$AWGm$zp{tMJIwKt7hoie3E|b*BjseQzPxzs`us9oNP*wd)U$r;!v6nio8I%
z<;DC-ByY&M)F~JI^i9IVCTlaF1Z0ve3uuD`K9jMhO|QC`FGbxcCUkpva>=yqFFk1w
zoi3s5xXa@;9arEFM+c-T7xa(g_>mS=1^#s)jiB;jDA095V1t-Bd6HLE=uWfRpIHA-
zkoh2t2B{{BapC*pRrXFw;7U7f8P7mS5G26#4$L12%^&<1fg1C;cFUmqDysN|S1B2V
zt!}->%b4%klZ8j-44BMcQMELkeU-~Uw#-m%SPMVMYQGYbh^TgK9Df3BL8%@5b}AwK
zA{CWAe|UBeS!yNy$VRNu`dE1lE3%_#H&?P=pV+8{T7}N_rI;pe3h6Pg0)qVJDBD^1
zh0vLIfXDa487^ourwk$2U>{zC--nmElO
z^{4g?GtA8nln;eKR;{|~UmUPK21UtSHTWrA?>^5QrMUl^(0b-$+>Zvly-X5fV4RGh
z!+Fecih(mKVyQ$@dOzo@b;@;nvo|B-!vEU#RM7psAv+~}72xqx{>UzR@D#Be5@K*h
ze^e&Ae^8=ilE?r>zo44OvGv_u(4<KfjEP|`;Tv>1Z|+|
z>v=qYaZd>L>bMcdMeBd_5W?l;20qcMmB^S28E$!hNos(Bvho%0GZ-`F+7@tTH6=@h
z9Jq?VAX%Fn0#EC{x5uH>DhO|H)=~y;{OWw0C=DQavjuDH5GpZ0NByS(I;QIt=7d0m
zgLtL6i8NvprMd!V)>x@yn)8fEed0vHI}ulGXV2;GSc$!sSacW}M}bAqw2HXWGgRU|
zw!hyoT@p&q;+KxJtB3(IGNh~*tciZ@ZB{k_zJ+p6Ca_@mEs&RCel27n(h8!SRbz_(
z6SaTreB$G5@#TzgNmYB=(F4TFK&l3R0=dHDv*ZMpv`Ao}K6_N*npA^lp;kJeIkgb0
z0@4z$6>tH_fw=zi-D8Vfbk0hG7$P4B(K|Tl?6dls)JoB$?vtdpDRi@FAbonwfWgy5
z==*#TWDP~gb1s*|NB%J)fiOML4+RNQLt9)gYkkn-a4WpAM3M#%j?YEa5&LombZY8#
zvw@FKS`D^)dyI>85C=-!y$ks!h+w0w>+O;n-wT8d4WWx6LWBjP`B+lry+|EU;pyK!#mW+3Vu)PqT
zcSspm%Pa<8Qd3fXf?+e~S`&(+aNrq?WcZAhYzn`k5A6tS!F>87bF`W$5ybKqR4U7%aqb_7Yl4*id%4OwT@I&AWm+4P4
zL1%L;i6-Tsz_veD?n|Ps<;3wGR6N~&nDg4=x|+Y6NK5N7t=q$hZL1eBannr97)cg~oprG8h`TMBp4HzDe+w0-U$XHhur{wF6L!&T@1C9ol-F`}Y^Ygf2>2pCk2mD;y@RJU4%N{%)Dvdi6}4f0#eJ4{NDzzILc_tSgn5
zy_T|_ytIn561RT(DDi94^F&NFA08hn9S*y&m(r!Ix@)(by-14JqNMY~6Vjjf?4zEb
zy@s}O)Z4Rq@TW!06EvfVeedQ|Z~W}T`$=(xxBGOrNU$@6$t5B$Ml3o=)n`)^wyFIr
z@(HLHJp(hwruQf_E=Kd650;-ROuj>TeYR(I1s*~4@1tL!?)$nogG{|#g9~Zw`K|lc
zmAGh>lzL45D#ddm4tQ~I9pg-$sQ47Q4#VhC2FrBxxZLZOsxoB^
zRNw#N3yRn&z*a()*u0XG^T!wA7tfkT($XJ@_AftYa8Vk^GAITJSB3npFaEJzK}hR}
zGzly9i_=;xk}i|xALZBx>u5{t@hAdE^E>ltt_@~OFmSjh;&&+W$bFkUnojb|CZDFJ
zCd~ii$B$L1P43%&kYJB|E?nC(ZijiU37d{fofdbh=R@NNmzI|9NFcTOJk`Nu;0NbB
z(0l>~_HNgEUdio)>@~e#Ba+3p%MTTN1&n^SR;eGf#NhC;ZVpk9WIOoAXztBDUf0A~
zwbvRozZJEg3VO~2*d22DaOsI1|MTak5EPqFGF?_~g&PQaO>Kf50s554y<5aKX@Tl-ji+f(k_XDnBc$Xe;~Q`XS@&9mM25k75q6g*+2eB_*K@-~9V=_-G?WP6NpkGyWWwH=QmmgW}{_)=X@fGMuL?5N0@fc`E8E$!U8
zQl?P$)&F<>&M9^2QeJ^z!1oyE)A0oM^srd$(mU-%YH?)r6aEoRfr{L-)J2kvto~
z6oR_95@Tq@kG$Rfi0S74kVcR^y2JrVzI6Xel92mv#$J_blzMfM#94SIGPXM+KO+P2
zFFmo!szcvkb~RD!9DqUoN4FIq|H=d|qQ$~DT!73n(fu~N2#%~7zq%=Wj1~IN%@pVR
zb!2z}S=w!NG8E>>{?Z1+IL2S&xjo?d?ldp)?k`bB*O8t|u^%ScDhxr`Nrw}w9k(hb
zq%y)QES#|6M)!7^;0j1U0jQtI)wt8OPF^QA!&E;9^5*aDzwo@3m()l5Tgd?+zAL(I
z1fQ1EtechAi^lIq;K_g_;rS)0AzhDxa=wB*I}Zazw>Xjk$?O#Y`8$^jS;*}{Jt(#c~Zs~CNX^TepeJ)vBgzYPkdWpJFKYz^)roTbT
z2C+3>o=aL3!fnztbJF{>+g)X3svomkQCs_t5}_GCe^ckL9)ivuWNb3v~kBkzi(iHcL!x|VgBx4mhu>SA=lK8ADD@P%gW(3-YdF;{zpI5_kVLf+nOHPbL1Z2*1HeXLSgC;5NMr4v_
zt$46e4tJgD{iV+Dpt(uI$rKz?ySmrs?=Q4@X)G>kDYGA-c*EDEdz=1&!X}%SsTIH*
z0##1J_CXPi1u_CDT0w&(wBO=+R5bemO%mX1(*uexH+IY8Uw(B_jEcbKQrzD1mRp6
zu_Ai%0zepXCU2(8krP{bd$@~i>YT{#uz8TjQUcSz*I`cJw@>C5z~gt`b2fL{G@->-
z30UgtcgEH4l*Sv-J0JoKuKatnF#Qn4hH7=hB((hp>+mk0OTP!{
zr&@`;ml5dR`M4bm_;BV;EOVa0&fK#XgYAh0jq?piB_yD!U8xiC`VDBlU?xsbxwQ}V<+aQt9WxRe(s#wzM>7x*eWaN&
zup`3j*>H*0nEaWWeK*f(r<;bC*ONu$5FCI*@PA98C^(H#B!z@JR)kZ#{tE4xk)Iq=
zo|R)WG*zZdR1n;iNxgV@Y}O5cV35NY>%YnR&0~Xg##9=SkfD-aI{e$K39j^V(cc;^k!iYKw%w}D
z67LZ-Di8uRVy{aqggJm34GRz}+IpDwdvN^0N3ZltjiMaW=}wUTk3kW{4!T7I8F%aC
z=8z*>;H||fCsq+U3ESHMAw~j$~;3Cy4OrOH$~1bql`z
zhzi2wH=|>vdQ~9$hE|$sdellC_yz~cnod;1L2}Uwd0b*uboEl%7CCp?0pw9JBt?8Y
z!z9)W;43McgsuMRshQ+lg7T&T+;9cKZgrqO=4b7Zwv>L8%SUrwlAJ5^(iIm`Z`Zi!
zNnSK<@}Odo7@L4>Y`y7;H7+ea)W7;whj(Wy8~GieqvI-50XfJ`;$zuwI6i
zm28cRjOcKJXu64$Wf{Phupl0Ei#zoM;w!KvEKa4YWmuU4_%v7)s&#setBolA1
zG#c8C@G9XO{j~6lXgdy&=$Ui%X?j1+90O;r_3oFA{{SfCc2(mr-L>*&%T)+aIT3_`
zDb)s{(fcPSKIy7?+f@M(?;Lfdc(LEz6~pgfCm?l9cWUZL;OugQinh@pqYe##81`Q#
z2mW*191tjZkz$8QjO)TddPkh0qj&idh*e6D3G*GWFTsW?@buN2IY6s@Mb2N
z=kUZp*S)}i!YmpfWOChreR}|l$#f%<-mBw
z>wOH6rU=3bZF7CQn$Qvyp~|dW(*6$T`564Z&byebclDeuiNH!?3aDAKL{`oyc#3!f
zilj)NQ?=C-n}aIc>6jh`@Rw3fV!36i760xL>y~Ek6SzIF0P5z6);xB?JLdN70dZp7
zRMt5=q$hJ9|AGv|bO*W{L#6;A;6a(g;9&-lg9JaQqhHSxHSitkI58Qd7xc}6GCb66
zt`Fhfj8pjP#AYCBMY=ekO$ZW}Rejp(K5B$W>V|;SxHk=2yv9P@}>*oQT^(YloK1!oKw?C3`{Wg_7io^x7ag?-=ggX-{AN{hsv6IQ)9rC{ej6p%bU9Qy0`60
z%y;C9JPR2`#K1@Wx*|^PUew}I(3hY>P&om|SW7@<&8CfukJiVZx;Sm&Dz)77ZA!d6
zvSkCwzdaOGJ`{Hpwg!nDU1<=sehHA~1!D|?einS>!ASOPql*MRE&xLDo-f&LA$1c%
z1&tsR@WRw_7KPM;*8tfv?!u;?;!e_(;({ZJOW9=g5u$#JU=C(rQ1J6bfI6nof9|6FC{VDwxbPh1#?_`}f3_HmW1Xv!+ZY#2S`3$<<#3H!_
zJDuO%(12tYEj+wVjUU8_qdrhYl!{_0%5yESa`-?85x$NB(n-O3y7V4@wnE$?|99{U
zVAy9M-O8?oAEq}gWc#=YahEHm?zCuxMW9Zm|Mcnp_&+Xfkk2Su)x@!Ir&Gg+7XbF3
zO$=aLf7q(;>eH$u%u-P5RVUK9c~=(9xcMAn0}Xa+;l=H7P>sr%6iv?rD$h!2MAK%y
zHih~A^Weu&E)FZom^!a>1!l|4y3&8FY{d^yJgvr=TTU<$w01$ixjp&!Q`^Fh%P>*HJE7Yn4P*@y!*`J
zb8)mLzV>$e&C!A|JJc5>oCS2!U|YJD$SjK4S}BkIqSYA>*FCYV9-gYb5{15zX=P}Q
z9!n^c3pyT3T<3JfR)7P2r34JmmKr{14=lQBzNn%~9^UYA<3f{#
zKJq^SGn`^wwKKdd>}*263S@MSLmi*Ml!=S;~3hZs;H(BDLPmn^Ox1>Zs
zw{`kLYT8u$vOhBP@_8!4ET?`@SDBV`&<8%&Fm#z>JEFFB?Y3j?Ka1c85C43^!ZU^X
ziwm7^+GBSs(*N|AZ#f6;_G4Xz6SIszKY3$~kf@E}7$`ITEY80@a|87^fvrVaEr6Qy
zHVe(0QROk;9nEX?<|~^(ew^PQt#p5dym*UNt9Jo4eTDrE2D{TuF3jdqpp-0A+lLLk
zN%-EN1^NqvaYEhWp;yaasKYVz`oF!EgbMZBmrCT_8&6A`+VRU0Y>kIWO|)UqLtli!
zB0-O!yZ?N91fJ#Y_5b-T`66sstlradHa~4Otmo0nsnk!pe4uU11Oq{kIlE10G{!oQ
z4}9suy=IcFbWd^}YcKaspbl{U{{pjM{`Z99(6w%KR4PClq^q%~fJ}-7Oa#AX@-8QENS4Po@9eRZTy-dcH$eDv)&@T?OsnEeKI@w>Q5A^HVX9ZbxyF)*nBuLiN;>9ws#ypF-5jP@5A(H
z=C5FpwV)%ixnt_wJX`8#0x9TyQ#Ww=j+wV>>2Fph2PXSh!EA)?^xz2SGgu**#HklG
zvY}P}p0?JjiWYftR`|HCo5>q3?C$e*+$j+QPJiy!1Z&pYP31A#{lb6YCO6%gy|K$(
zm28d8U@~BB&G8*k)DeIc7vcOC`14@ERJVxZ?%}?YpF*ACz)SCcI(_?hfPo+Xeai*x
zZsl#raMIL=blq66O)%Ieo^clj*!l}{B&Z!dSpRF#j_mG53fjNl{pbIux7HNg?$%XT
zea#bBb^gxFt4^FYhPf~=PtLepgu)8RKbIHz|AE^74-D}C?k(y0aa=!;_1-(i%t>rrO)OFCfG23T-x)RzqCXJRidwN|qMXOP&LSgT^X;*Y&
z%w838K!asq=ItwRnC;V95nt_pF}Qx&Nr3*10go%$89^Tp5&)r8_Z>W9o@KMe8p&77
z=I>bNeZM|R@)dCIvx6fQPW-q~1Sm~h!wnY+w*E*ChSc)1q4NssT%YQKs1GNpi06={
zh7r2hBS~;L&ZP4jrqa_8c}o2NXWR0!SIT?3Q&|6QuQb5a5m>+ZY31(VpSct0N3r(r
z;7I-zUr*ulS7#g7X_!TK$ND!2`r_Z-Dh?kh`>g2ta+xx5??4VnK=>cZfTQQ?Y7{r>
zPpb-|u}Ls`E7`4}0kIiu5F(I4}v9nq-LT3&2AE!s<&Rm+9~<~5u-Lp^{LN_wKQKQ`Cgez**F?3yjf53@bo_-
z0QMb-Wtgkov6XN7lmU-`tsE`3P!d+!e&NYC)hD6(Y~EkRLhjnar_)vYBf&(ucK7|+
zZ*<5=Zqjyo1JJbn=3?8y!GI+Jl?5AQOJ*oM$nh#X-e$?Z5GY4RWVMq)(%n^k2KfZ9
z)l@CR@22)-dom|R@>D%qjQbk$E&GMn+vT$
zMWv>@0WK}qw$g9q$vY(ptR@S`xvtEcDZ
z=Y3OW*S=i(l?u7JL!W1WW}+qM4mi|vYmQ2;@zqzbFN
zeECw{A+R+Q{A1o&Ni-Q3nlKzOC$~zm)-r&tcVFdCdvG2iDxQE_52oY8u4Q)T8im01
zKF~hVZ}dJ*0CJ9(Tf&@kPAQsrkBUvdXDpKa}~^;?EGMll_XTs1J%a
zmd=+@r1C8WZ0F_U+S=qH?L0`?pI{N2kdTLjf~N4v4i3-xBA}w_=H~Y4D+sn%)m#T-
z5-~p)5)x96*`2M|t+4Kkpj3CgKAwQz-dywdt?D*~-KWX}@mnK6aR$|nJ7;*PFeCr^
z7#aTlS?=K`x*&Z(3;yHyu#T49Q+Y5ki~14o=HoVALC2X#&xb*zd-m@Mo$px|^Q+~q
zkLodNtE-!5`%CIE>7s6m$;rumjsn>A=c}n!)zi>1q(64ayOzX(xe}bXrt*hXNu2v?
zmKoL$Uy2eLf&tF3K{o;zqE%4E2lV;&T1~bg#zAvC>=WT&V#;}0@4efo8){}d`NK-o
zc|ppOaJ8;Z)M4_+Gl)J}S;J?rNZr9ib-SG@#Kqr89?O)x?w%gRyYn}*Kzo*sFT2;f
zoz8kF*`;}7z)Cp1wd#hws-OJm{NkuNM?$ef$pwiqSCObh$)3fwFobC)rOS-$KBtYz@7UlS6cW0AVOc$WZX9QhD#i84o8tK3;0+CED9j`m
zW&8Tvt?>2lQ<*SaA@7E&DxKWi+@iulb$567inaU~=|#omP5R)khK^3cjN|F!Etguu
zy4|MBN)Rb7HLBOaCgTQaB5-1?kSXdXM<6t>2ih;ct~VxfP*PP@b;FcOwEFY4guwBb
z{L4d=XKJlpKrb=qs@B_c13|ssOZXah*;RDK6@(nLI}Us>j6U~SD{Y)+OZh*r!1V9u
z_uMmWyt&x=L>ZK6(HZ>;9O=|IvmmImKiDp7UFw^QiDtW%?)dJ3fr(EKlmuPZ)c^;M
zjg7s6gbtXk@bz@w&xEJxEE@p*0H$7auB_SiHpl}H1`d|tEYtknO(1nG!H?2xq-y7JN-AC!f&Pc^~1#02hQmm
zAl!;<2EKe;1BOPPY6f@4Kt2LKVb_-;v_o4uqT}GQ);~6!t8@&g(GCQt_?)&}MW-9?
z*$-wuEh;OEmQSA5kD-0SC_{Vh19Tk6^OM>SJu4AWIECfqiSxUvn>Qcz03p2jn0{yt
z2R7pqucO$}N60Jo?1g~<&$GWxM?zA=0sWiri_B!Meer&Ad9o9UcEFTvGCSK(9@UE{Y_#RIz9
z+P~KhJ92;h>lN%%Fgd&ge4+Dc+a)!RX)maieocpT#5Ieid47Oeigei3mt{my^I~pg
zTwMn#@}=je)rydEiAs`9(5ZJvNE9@j-v~gbjb#SnHv$FH$6#{_z=D-WqI$6f-z;|(
ztO1G4RQQ^3y}LVMH^dik=mViSeUkDaNwcM2A2jEie2#y!WY~h46|a4u&ZNMkypJmN
z=|zS_>G9UY*7{J6y3FvEZ!<2PLabhSA1>Shx=u~!c{=6BT+gBT7JrTF&B#BhOM&SDk(XO{M!J7l%wzviPrCg)mDI{t
zBY8U0p5nA%kkQwUx9(7E_fc^EYI&%cLFT3K@)$EGRxYWQo-*vx3xMLkHy?EG+Us
z;h~x#(wvAka%+3z%aNumWu3+QgQPo%?=FryGW-IR4aAg-0tItU-7sOc#@Ere)
z^{xjwR`6+g;lYj&SE%HtQ8ik%^ApN@{p}td;?Qc>{{d^8xes{nSff=m|AOD;u}c(u
zuGzagk=MY0q-VQ|fBLo=uYJ6Vz2IWE=02n^V1J>hcpB}LH?EbC;Q-5YD?vu1cbrPW
zKe#gwn#-fl5rM}uC}_aCec=7Z1}1d?+yE&JODiixabsU{ru5y%ympeh^Lu?D^-5uAf=uk5n+
zTJL(-+Iv0G|AhUv8W8@2PPt*)V|kD2P&UGJ!}@{`%avwsi@Je8C8W9{s`}pLNtASi
znRj~4eA-DU_dY_GhGr42u_50&83Qhtj+kyf+Peq;wlO|qy15*azU32?%E7y01AE+p
z^|Gf!SD&*YKm>IIDe>99bM;q$ua`Td&9Ch4`rT1{T>?({q>Ou!!4*RO7)Ye$#
zr4iR!ZaK2Or==C3uWorB#@uieyn4-3^Yrdycw`QD9E@7UFCMSxTaN9GF~l*vBVkcw
z%(5<~ZLv=*{p(ROjBWC}JA60ewPgd!`o#6Nd@mq-#R?hET7k~w`>#)zNvD!-p*s3)0m
zvhfE}p7N{C(UF29I$N44b{mYDApbS)wg<6=yFHWy{HGd0RZl(f2d?<*kvC>7e8
z<&&M9)T||IqF0)qh+irPn?%W)ROiiSmzOA$eI=(Zm*)h?tLfmUbv*EaG5SjvbfD-5
z^ou?GCTjA?c^~Z)uHDleanj;3JL~p5Bb@vRtCYE#r#Q4(s605gEo=!C0!;+pNHSfE
z5IT4pnQMheM2@u2Qj4YCLw6W>4}!z$Mv@Te4kaa0iv+CBvdOseAn$m=2kkqlhi~K-
zFHI9SSIu0PC!tS{iS`wSE){Kck{?;V4$gr$$q`w@w-oM1UCCedZK{d0Ehs*{^@KgY
z++}#|Q2BmoAa0zr`@Q#FrGOm!t5;6iC;sM
zjKdWDCRw&2&NiICSePRGMQg5}%RS&#GV=l_u!a?+1-=TRs7cC}(;Hcx%nHvHtxky&
z^4{GM>v^8|Me}R=i`o}Q-&dSA)~{+G1NKzGSXCnMxL%xbu1Uz^cBDNDu0XaN8{bow
z5O-MAX(ZObpWT4CKONT3`&Tc=qQg9}j#qDDt|w46MfKU->sO%)Mzk~ms8
zI(c2YnO}rmWfQpq)f)m-l=NQDQZ@Hc(If2E?@gJWusz}6GQ8Dhfqbt}i!2Q%8+A}s
zXJxitUw%iQ6Zz_|dBuOwD*C!V#0U3mp0~QRbPnjYOH0U#{j@Ipf5OxJs3A2D@xcPm{_4{F--3j39)yOtpgq2Nof!3j49YX0kz?WWf#LTQLZR6dr40rSR
zZuRt^S>3-IhQFnQzwgE^HVpO22#8bm$nN?NA0h^9Bhj%k?jnMu2TgBmi}@ubB|C4U
zP%T#fPt%ODY=C*biIoJ2yT`BSS>0;~gQU6-h_bE0`b(z1a@Jp9=xa^Bf)Md)3ow(BZMPa`Z|yW-YNC#fFYzU
zcK|_>w!Xf;uT%Hx)nv|dE~itI`1S&Ejl
z>!ML-#_ybk3WocqROD%4{kFwF-t~oXNgWv(G4EUPl9OHeoij!C(r)lHCQ8<`2%*{*XTJV#)=4d2f9-lzz|>Noo!%MNj;6FICMrJ$F@Z@N_
zN`03yM23NF39D~
z?Cqd6(*ez^bsen~uj0sP6gB%aVx@KTOuY+{
zsn56#&t
z1v7+qO1pfyHs+EwQ0AJIp3aB;Xs|Mra7Fd-FTb`3`FsnmbF?is1e#nMhs!Z>A7{$Z
z&sT1i-}K7&mgacG9O-S>(2=1{h0RI&=Ul&b014b%SaF>d_h`Nz%9r+c1w3+;jtx5=
zx-OT)TmF{Vu`)P;y;t~g)}?3Gg+7)?Jau5_1!YSY2@XB!fSdWw_BKUD^Dp(WGAiuC+kf(9FMl3=gUwH^Dp
zI$(W?-+uo@H99*xyN(R1^c}P5M3i-IE5cFos646z)^-pzVc6GS;#lZ3rB$&q5^PZJ
zX5ZLXY9z?S#8gQ0($R?k#L!&!?yI1XkkEqSySa7)j(sY(-13IzEY7
z-^lNI5*c~oB(>H&tv#clpy0_YS=5X|0PEMx7fnZQFnNJTWIXS1{AN95^xL
z;CVta5H4X)wsfQ~^Fbi4#Xi)PE5KOTEUka($>+t?)YJ&rlC8T1Fiv4p^9Fn#%
zw58cB4Y^fx-c}$9<(sINZ9vTa>hqf5gYjPqK+a7sI=f~16>(6B8+
z2%sk*xWEYM!Nq#WP_2Q@nuH>fgyi&HiK8`V9@g>2LqW|NI&}+UD0J7NTd+nLGZ3}j
zf($AzUY0BL>1q8$3WZ|cTw)|BU|f0?C{`P)GeT32OeVOoN;xD0mz4;FE$`T$Pfnoaq
ztuc-j$sO+wyz_dq6`i@~)kwr5T%BuvO`vb-Zt6{qKqFQIEFkismW~dSl!U3*w;B&h
ztBSUf<}xH2pzDC)Pk<1Bx_X*uXUefAFfekfV}~(Xz|m?O?H$R15LO!*q5pCjzAZt3
zPr35ev(zoQ0PqsFEXb0dJpsII*oG|Fo1iSka&M?W9JaBS!4J9P$j`BaV6tl0U>Qr}G*F!_g&1xkvQ;+yEnmmb=2{N8$+9
zEV{;p2XSXX%>MqUpr6K!aEtlN*js#h)ZQHSL63E;T?B-M&aT?0s>HtiI>XK{_
zv$}{oymNbjVee$KGwHhy|58oKcd`K36U;22Wo2d6F?##1fRiDoq-K5)=M?S%EHt~F|HWgrtGnAO%oNTYr61n
z%wBvL^}d!pv2s@a8}0PIB>Z7W9vBE3uj-)gzLp@Q_!;OEZ)X;F0PFNLgeg
z@&{Z^oq0Y4t*k&38I(F@AXyWe8*`go#;yZQJ&*nv*OzqJV=tv?CQo~Z@UV^XvCl#{
z5j~@##6PmC-+zRD6yNy6ecN$Z{q2btgPlM%&D>)Y1Rq$rv9A(hk-HiEwyLJX3^vTV
zG(bJ*sdg1mGn*&N26B;TnSm-eRUNw3iGX`MI
zuzxO2))S3^JILrMDE4dFl?u!MgnG;k5hM%roWo$!!ub3XPw(hneL+fN
zCc5F7d0y`H^<@Qpo0*WHNB|$!7v7@eN2br(h1ELz;cL1eQE+o}^Rd^Fu#&*9zf6Ew
zBS&Wu@DO0vN*CVqLvn-ojq07CRXjiJdkmf=fj#h55)P!a|CK!<8IA%dt&#YrB#Cxn
zEYT{;1F9OMr(*OHnv^$P1h~B^VTjx!xZbvSEoOFVD3>&4v|nw)JHaj|Eos77%Lcz+
zHK%K^;SjyM6Frj8`rsmJdv!cCgV2$sN7B`c*-2t&syxq!ksNeOLXaNBzt5*yA)34)
zQm8xDb&#zPw{lCw%YluV>mFAe=@Wz=uXuY`fR0P*^(XlldrYNp(pF2O|0UC6#opLB
zw#cR@5l9IzM;B~=VoZ`hNB$QtT9!^}M-T*v^>wLR66_w7s~iy>(IWVg0qg1fsf{W7yh1QY_MODgbtX;jo4%eJLbT{u~;pk_hQ4
zSK9XTXu+0K){=#Bs)zHJkHVO?ctyXaHH+DOwBhPH3t(|B+f`7XLgvvy_of-DvM%>?U^skW^Ro)>@}>(X&@_bZna;QV
zj5h}ZHfDQ)gncS#dm6Wrb*RinyjMVd>pdf>RA-Ku8
zQ%A2R!68NVz&;FGvWC)Iw5MmHZF6DDf0^7k=0E&eqkDhvy3yB(DZNTMRWgyHRpG$aWi=1D+c-hOtm^bfQHIp7@j=qO>33^B-(!eX&c
zVq*usxYP0-8HYsfOn02jx%Torc>5iQ``_63tGJlhB;q5ykKiwKp3y~8umGTh^u}$>
zt|J~i!YXX6uL@ME^qmJS4IVTcSup1ea0PfH9uW-CMt*uM$
ze2&08ynttxytw&}<%a_Y{N}NW!$Oe)RvvexJ;#2l8n$$t(k$-F0fRFQmW2j*Ma<^o
z8Nf?OEF4KtNRDk7Z-ZnvD&(+Xp$UX%;qg5GSvm+#1MgxoEQI=NzaMvN`$tF#9{M6a
zIn>lJw>$%&qYLDP0$C*mN(j^uNVURFwWYvD)lf0}kqZOh_~jI(*yW6RHJ805y~&%4
zRq-5b(E38J6&bFNeAqm4h9ZMQPb`h`o0AeE~
z3z65gv=&Pka?2Mkb#`=sn{|mmfnHvsU4LL$@ByUmX_ObB9C5Fe`8tt#u27ZsG>vXJ
z$$^K|odwxQPHyrP3oOL7FK&249#qjsFps%mXig~yv_nKm#pFN;K
z%UIn(Ovob2e~oH0EVOg3d{I3x@M#+{qt%Jk0ldgy96;Hzq2XOgeZd=QA;4t@CVcrG=cq
zw1**@-Yu5BSH4S=Vuux{zl9SnuE~C@K5Tz&(my90eE}d`D+=V2zkBr<1
zVHHm7SsYG@Vcfm@=fz(OSm@F0U=Qr5B}pow$Pxmt53;MO+-Czf)HvJ4;D8mXsmDaD
ztC$DHQg(GL+@Ahc^^bns;H5!7FkMJL4k{=-G;fMIS#<`%-#}I$cL4G)`~R|iAd=q%yo`@VSu`r0XMlfY&W@g*x57E4so9`Y@&C8WV1CqQL5G(|#q~L_=j7{GM
zEeeEgMrW4ZWrA(lY|&ybGW3vxp$X|ugWk)=Ii_Se5smvpbKO9lBMvi0t7CgBC#*}s
z;TIAni$ArH>$@q8qv@JS6gY2(cZ`we4|#qNmc1+@O+*a;1}k8_ni=Z!qjO(>TgR_3
z6GP=_s))47RNfhWYpzEF=bVc8#&9IYeZaOYr#rcTCg*Y=3tP;zYkVf$`^x_27^AiI
za$zW&s4`?uh7{aXzqjN*osmY#GNoSvS~3>#$8JQQ)J~0A*11R%6*m%$1gntg&&Yz^
zB7Us2^CcWVH?~6BP_wl>g;dx|u3rYVI}N5f3{9uc;kyNj``fU6kn~pPFgttk&sjjv
zRGh|u@MvplYDVM0GQTZXGDaXQxKAzyWh{kLqd98p=dc}oNUk0O3A^`}thf&!@8365-HwGYAHzh5N*zHpm9TUTW(4PnbhmnS4*-Xf{
z9G{r5?nu|9^)&mW0*4>F>@(TiG4;31QoDPsO+YKTOL;T(sZ|uNiL>4}TZd
c`->atc#>6qd2$s6iK3w}7u7H1o;SPqKPQhnHvj+t

diff --git a/dev/articles/a0_tidysdm_overview_files/figure-html/project_iberia-1.png b/dev/articles/a0_tidysdm_overview_files/figure-html/project_iberia-1.png
new file mode 100644
index 0000000000000000000000000000000000000000..06dd16892c4a1d79efa7ffecbe91541f6be41b94
GIT binary patch
literal 56643
zcmbSzbzD_j@b96!yIYY)DFJCoN$D;@>F!jzMUfCm=@#kk6jV9{>F(~gHuv7&i$CA_
zsNgw!uf1m0q4@@AN)XbkkxU9!Kgx^zi_cD2d`i-T9}-axVlH`_MbP!j4Qr;*IT6}XO-zwCdi~X
z9ahM(D5#SbWS@H;><3(5R&5I~$KxR{F~($1It^}d_I?s$95f3j)p3g>;dWdW(4vlp5hDzbL0HfGSIesc0b+IeVWb9WQ`DJ;4>yCYtg
zEZw3;F3*|R5|{etwLF4H*ZHQ&Fg)R_VHphX-%l>h&W=S;AQec^xdWMoStgPNR%
zCKMMwX35yju5_YEQi={Qw&%T49vtk#hq}wOqQ_cF%7k{{v9yc~94y3y_VbTZkLWPw
z7itBB_~D2!@c(wMsI=1I&Q2-iJ<-?2FtB+#L|CiqAL=qRK-zPIlLP4$(x9+j)*eTt
zTQ<2U*0#5RBCO$lP9t(^%-93laaN6%an%2FtIkeI8C<
zeAyaF1Tke4E5QsK+__AGkTJAK%oM?e4abnB$u0IE%MIdS3n|Q%xQ1CZ$PtwkJl~aq
z6)dk&x|KE?$^}EGhCVr<@By6OK&ZQnu9g|b5gL2u(13YaDb{pV29W>4^)Hh4?N2b5{(^W*yz*Q6e&E-rVexPe?Klj
zk0!Vv%Z&@RdB2MyN|%Z|96-_uJUIHp$bVPXUdf1@pCiD-Q?1#reHS*pP`}%EgNl%0
z>)M(Ni7q2|Dip^
zVho5L18^ko^x~Pb{-MV!5TXY>)zU!$Ec_2WB=>g%dXQ@vRi*x+$Iuv}#}qb7HXAR6
z*F|RxI2O|TFYh=2@7mbq2vvnW?>F{;U;D45w}<`rl+XY`uPSFbJdlJHK$tHYLdM_!
zp8pR4LM&HU(5V#mCr)ApyzTfu7B_)5vdC5b*O3+fx%#VzItC(g_Y(9kd2f44WC>Lh
z5I90ap|@?f5$-omC~WsUE6fz!EG5;{4hdlwjM-y0LJF^wtQGKOn?V{nuYa!v%Jft5
z=;-Ktk)#E6!WF2_!ASb;ch(7m4e$9YYHGi86Id&I&FtHvvgZ0#r^?F8+Kt@L)6Jsf
z!orUCJb<3Gv-upx7!<%Z5Xbl^K69iMQLJ=pv9w|L?JFG^Y^GYs$zb4Hx&6FI?aI)Zxb2HHO
zn7%}i+V@zs@q96|_V#j1$jzXGYk$rEcFkkI4aIT#P2R$omQh#w%~bkAXE*_GB8i09
zgzNR?M9XQDl2o+Ay+WPfLkeYJh(IeBpTUgIqbMm%E%P{8O7Khf&!4!`($ZXfd?DfC
zXi+gSrXC)o$uE!#)X~GG;48E-3kxMatprYLVM)P04y=@04pVQ>HBr#qo%aa2{XwDe
z!8J28t6fX;cG#(!SUjDv@5vK6c{J<2*TkE6H@hZ+0z2j2Xu*7M)U(te~c|{Y%m!Z7)Z&ldvUlyM
z*P>EeTf233meRt)f{UL&G&mT^yi#Y`sZN&ojZ`zr&nLse?{2QnmS*N}`4$g6WXgmD
z1tXSvVmYs7z)in5T>juREBjxLoOf~h1*YF!uhs6>Z^iYQ`;;)KvQxrKLt@$q3wvFT
zN=F;?dfM#adUrqAuVZS+-Ffi&6+IO!L7r*WbM4Dyg&B(5?(EdTmZAF}*V>!YnF`k}
zO`Dl&tdWtC$x2Hck-LlGi6$js>Yix+xv;Cf78>uf-L4<}^V`UkqAu2?}mn8yNXryt*D}xmNfwz$n*l
zbTel3<%Nh=ZYH7PSf8MK)V-zx1-_i@IXKmUD5EK3Ff0qR*PpeB0`e&j;bkK3UciB`SnS*5kzou3!E%xG(jH-g2Mr
z%!G3KEMPR3&9l%Un(KtH4JalWTy)zV3n>$OMLx8HNK^nMPHS-v7MyrLoU=59|Du$B
z#SKH(WJJh7q4t19Mn=|dl{Waa;7!-r37PA3Ll&lCubD#hybZ_UYNy7#c{heiX#X9}
zb;jx|2~_jSsazpU&g+opKj5=A)5+8jBPCn!~EU)Zrdkzz3FDV29Ad9$JgsJqV2agSKPe3
zu1>{fPqMSKv96GR3=Z-%`ZdMuoZPNHKe6@t#Y|b4z;!l&U0|e<_Rx+Ma=%ELuwS(K
zM2kFy;~RvWJHjmf7!?0JTHR#EZ6LA6`H!Ytd{CLs3Ty3BjF7{;@7Y3;(T&yLGgSrG
zsu+?Vh2gqy$XD~~^S=!lc4Yaa5(L;aJWbXs$nlVM>oDo2P!pjCKkBHEQx)3g)9a~S_@;w9C~)9
zpXztHA>gvEQl^!&#S-|uAyBmm2VRs0+3$)}Lo`GhPPM58Dfr2~BQ4{GW$8AC2#obC
z{PDQqv0`dN|1wvEC?$HQW>MW6QeUPjmxz8*4Hbca+QDc6CM$<
z2EI?Hvr53hFKbiHwkLpmKdwhRaE67LGkDN)o~wY=uDx64eM-O
zI@xd6@0!5$yqc(0f7uXoSryNrXqW8g&(Ju)tTgcp3ejO)iUjqg6Ik!V!ZykN-*}XV
zj}KWc{%<{pg{7r;li+uWk|nJ&QTNDsO-xMWtVap*UsCCW?!(a1KWCktQbk(N=z|2<
zdtK4sfu~B@7gEp-PX9LUCZa;Y+o`E>Vos{Akd4m3*#crFys?*0HI0!}EQ^IhY)-HG
z2kQG2JVs)hcnd@w9+dxu6dkvvV+1yO-D*cjS*7PV+HYeumVzYp;}$ZzJYj{g7mY#u
zO~vg6`R+bFw4s90a4HUfF(>ag`^iPy@b+(O#DMcV@SudLup}7IxXH9LWZY1dCzkgP
zyn^)HUz6``OuwaDc0jjvzzFLPiByZR1*xW17_$Jd0QBvy29woI+Z|I}n9646O&`(t
zFPk*Pec!DxF&KBbR#~1qVWf}k0m*!>U
zro(?m2RtL2!$rzFyv56Ey3GOJiP@_Cf0_bGI@-_v#F9QMzwqQ@;moonF<6l`P_dFlmp&py9)@__oTr@x{B%T8zc>w!
z-!w_*&uXiZ5ZUNYMf&59ngrgzCdM7R`kXkBax=_T$X1*XBsHeF%g}T^zxmkkmYB$}
zP>%IZT_d=#5EfusfjYuNHjb;Rpm_?nsaX`6f4{3SINXy&CF*5ljn(;euRp)-=MBBF
z;;s$Hx9$BBPn^kA*;(h^$68PhDkoaT>Ko_oesECm{CJzJ`RUC=N@Yg;hX}MY)z5ys
zke5*LZ)~OnD`G-*}g-q_7j@Ot`chs5MRQ4p(t(S^6}A1Vn&9
zn+pi(bJ>$Nq5=8>0x!obyw3fojMB=(wemxJV)eT(PwZ4gtt}_l`tS4%LONuumriN3
zGC%@_4DHBd9y=n-?^(s+6ULl`mW!Jy#2ZY-<3nfGL~k-LxtpR(
z&qcprD34<%g#_9>4x}WT)y(N(^6^0x72L3ZH!0fs`p5db%kIn{=3nXRR1>_VE?u=0
zFeqt}IdGL-fb!qB?f>2$1iV)MOWmCD*UK(J*@!CORLWrnIfUk-R8L~K#0{PBbf%iY~
z{qGwv1EzaQqzUQ%iL!3O{!M|dYRCTf6QShfZ6_?>Hx)UJSwaBOW*
zE(SfoS?*WF`eG)($ek#Xrt9`a!$azFH2^sWAu6)i4#@tX^~XhbFV}`E7aFX;bEIkZ>Cs3C6
z4~am6pC=}`bKRNm?C0s4^h@o={rZvst}G1n1-xVa_d2|>l`+hKEcUY$>n9;deB{%0A<{9Ejd;OR^vI(quU|I$$J+AeUf
zWGiwg->NUX3?1Bb*lb%BxS}xDNFJOgU`(i96f-?I5QneBKZQ9z&lZa_Uw0>5FWd$J
zfr5^oamKHuh6#c8?!UEUe7?M0UR|Y&OZ~{@W7miQzz->P3Mju&I}r(ni}RoB!NXNG
zTEZ=FdwiLR7=*cuL&nRgC1W0C6dy#m)W!$mV{GVhkR(k*#+P2eJX^?Zw!Uhj2$nHB
zV|m<;sFwGJx$#YFQVkqR+)I3X3Jpg70NTCdp+gQr-5
zD614-#4SGs{Ek4?gayCLZs?_YoIz7#oJc8KC}yK3zUhJ`pF(45vLqq=EOfi;;k
z-BuL;p36xb{-A2%qIcz1eItVJcONh};nlTD6*w^3)(OR0#-Ru+)8IOIuO6#eD&$nQrR~wIepgp)cDq6U
zU6ss9LgK)dpvzrx@;QkF3(ksyjT)X_N9-&52x2In`<~z%P)H&9(oFa_V?wr=%uBdy2C9)@mxDgV39
z@ii&HT7ZjK4^!K~__mLJkO`%=Xit~rAwaP($s}4CM~J%%$2Q%TUwI@y6UUXh#sTbH5`^;Kf=qe!!}i
z#!H$Ek&G6%rsv1%vAM3U;KzL*BgpOC!hQdG(K7s76(c8`_~XZ*ipcn%-CkO4%LyVg
zqKb%AUrabu8BDI&UO!-qU28qVxonQvsvig`BDlxywrZ=w=mUtvZWQI@WbN$yt=xMY
z-iw+emP_B}488WfDQSGS;am5rWBO8~?DBS$zRSx!tJ4=952@fA&HWyMH59aC&qDp%
zr+Ze5t&;SZ`_2XLNejF2Z2|qEOjK@L+j@+^==)PvWBDGhCv375ALzc0yGU}i=ppQVl7gl-HPFODuv@Yp)I^!nO!5M*D|4&?JQg9a?$nr9Z
z%dwjYd;GOkM9a(ZB)2?{2EJU*3Y`Tr<0=2r;R0P8f+Z{R)T_lVcZ}|i#t)GxX(JGRNG9wHGdr5*C(eB(y#Mf_m+WxWZ=#(;X?zfLi8e-
z;Q_>$gfS?h8nBfa{9}6wsn%_2P3$)!u%5uS$ITHRRk2Ka*i$^RtnMnmjSU?bd&F+8
z8uRO}Z1@+>!_2R5Z#;@gC`$=HtCX)ssP}|q@j9>nq_dfCrgES2d^qQGq(~U~96%N?
z6crbs1UK0-EnG4b`^5ZD7<1#jG6C@?=Od+!fMLU7#8@X5sSgG_O=n{d1TfiAre3bo_v2%h2i#1dUUu^UE^s`)zLJY!I=@1M?oW@S?{?prR(~ytvR6Yiy
zxbAUuuw^9ki{vj&PvDr}kX4|O6|n0nBQ)!CgtC@3;$QeQ?>@%Bz^Fa!XFa$+8a8|V
zIzQ4{M#`icGReS#-1|=;o^9IKl4uHL8?6z=J@&(C?H@Ou!r%kmV-N@&7}e#DaZ6fu
zWniC7sBc#AMwG#riQ~Jw)m|6_dlWM4o{?T|vW2~z1RO%3feZJUIh-a(K=~MwDZyiD
z(b2g$PP1|81$G3BaX5XkK3Unctjp;+qs!lkXTkcEj;_x0LOeJXF=RN}?DQ;H
zY&RQ(I_5H2IjesmbF)E@ZqHt({@XI(+63Xi6}{Vy>GP1pssJ{%*E-$sSp&dO1!9~J
z1FWsA(4n)Z_StXyK&J-K%c=>($TI(%t;z3iJ`Br9OQ}N8?>(0n1i|K01P}*>Sl5g<
zG^ld2AK0XeM_aPb77MbO?L2(U-1sWPW%R9q11%w(ZKE)ctlZfK%4b+Nhx}q^hi9$k
z4GKpAyjep$`w7;jOn5YlDFOO%^66*YhEEtmd*|sV1MFw1Ry>uu8%e>*J%>rx+T>Z{
z2a^=`jc@~px7ut2?OSCnF#skch<$cSYS(xm&Bo5ouJ<5uz+`W(>HN(9&i#7ZQnaIs
z#Ay5CR7=ol8P)H!GJPTZVVW4<=Pqy_4r3Zx3rFd9!ts5l7I_R=L;sm{awrs5d75N;
zqHGrYh~P+>*hlO5e9Q{Lhz_oRom@@NYksW<$5p#Kh4m#cNy1Y?1u1+iW;R-nbw^S#
zjIZMvEvN@NlFoioHKI)%+|B)HdBcP0&l2^NqHe;~yn3RH_H$a=sqY;C7-b)P;O$7a
z0?5_*i0I8r;lo~r$#Ro-WmgUcBzOBbcL74XwFuQWw{CtLIf?t}cNggpBzb#4bBEX9
zwsY8YD>VuQK+LZ(19V3cy^SYaaS$edZ=HliBqt{umchGDo}UW@;Q}Di+1a_t@XM?J
z3A-jeFZnM%6*^y&i}26wn+tuLJ#-t-W1p9Ve8};6Eua#jM{8
z)2ER{K`K9J!4YS^6^U2A)*5m?XMD(5-16Y%nNyF${%*?{j-%C-g8_2n@K!I)!8iho
zYyGOX*A+;%*hGx1YNO(i#`WL775r^i{yKSh;*e>`K_YZKX4r7u8C+k?28{)paxQjZJYDDNEGUw`IA!_%CEO4~DU
z_xLpaf%tE!5$WYUPEJ}vwBVYi;dsr|$K3S{3m4CSSG-HOwE7n7$;>U+
zms~{J9;VduGRj43ji~K?5dzZSbQQ$qGZBr@p@>YbSA5%%>dp9EJ~4L_;Un$a$E8!|
zpX!`VS29KiY;`zdZij7-dbGN@4JMg-j&S?h@j9G|61eR%ezo7$n@LEM3KBJ#x
zQB{-#9n`?G;wV1CdN~A>E^JLSV#!#I>^4(HZH%vD5x*FZ-PKE>E4iynBGjQfHh$8zoH3EZ%gTKhSZ
z+~92~tY&E23Ac4J^aDGVLA)8f#38?=LFHd2Uun#o>`!^k5~U-$^YrKIH<`ni-t**@
zKtRL7ko)>Y#Kvym3;2L`(ea}`38(`RNyFHJGH;Iq_mMW7wR@h{aMD=Ek3~|Bx!W#!
zz8lewCOx!|mZAexqnYW
z&N*&_Wy6v8qNeQ}%@ZGF@F0)tqS;s!oxfyFR9wdry-g#}OwF5!B_36x%H?C&c+x5X
ztEfVkmudPjn-kOP%DP;rsQ;3)52~t0Feq^y*
z0Gy!LiRZ)mY50UsgdEvPA~`>D`Sl&X$-FW-EpWf(jg00$&c$c;?`>_b?0PjuAG6!8
z`#4V2=HqA0^r_FeV>wGJZ~C`_u{7t}j+-0v9<*o*X@
zG_}me>!F!%mY)88G8|!M>$3vrp|0yAAUrPA=zFPdl%VaT2JdtHR4v~3X&Dm8SY1&q
z;g4eV!kL$m>0m4#sjpCB5ql{`EO6f)nc@g`-D;~b@_yc|GE`e6Z
z-)O&-QCl5(@eo6?18KsI`|7HDpsqSHdA=0e{}U&|;7zk5lg`ObLW~ZGvFC7T4O;cT
zJ6_+dmOEsG{dUCA915&^&EVhJdfY6$nqJsc!lWohk(e3nUDSCXL6OMqV|R2bzEMJs
zPjM4$7!Utd6!#q;2MYeJEO+3b&aD?!*Tltnj668U9VBm%M-Xyg23&*sv}!L_J1&>=
zFPW!#7}`2{K8u&sbP0JD>HhVTfmKJlo%T-JXY-rNT~s_1P8IvbH9d{zK4`!bEqk23
z{kAx>T4-W)qWu)5GM0o3goYN%8MAF?c_#Lqt{@0kNV#JG6_=~t+v5dA0@d1b8
zg`X{x@>u!tH|(OH*Pe=Ba$QfV6rgOV2i7YJ=?cjOIxWfmRk;;!9{4oVrCq|Y@P=So
zbE<1sM6@e=yig^BdcsZBXU2w=ZC@e%lwYagyfnOPErN8aLQwzFxrZT8mF;-FCtOhc
z>+>bz3G14zFNQt2Y+50GbF~mnMc+#ekj(v5o_yG$#>7C^Jbrh4$XaJh7$TPS8P=S;p8=C7-tq4?wVEm;&0&oFFPrq9?u{uHrHHjy
zUS~0`O2Gx!c#*)ne%Q$NM~9If5eMudiN!43ouqhoh#jii>I9R(v~~Pr$8^8Z^(6Wu
zuHsO*cF?pOhDMhniNR>i1JAvX4o=$U@;>5n)lWr7P{+2D03JN8i_#-W7&VpZ#i&s1mnw>{Z&03#>T!8>;=v==7BQ
zs68pNn~ktfk>z-4&WQBjMEsmxjeC-pTXo;CmEVB}n?
z-an|$Z`*)RR-HG2Ez>}zI`SHq3zm%23G9Lg`OtFCBRi+ch|b(Y!s)5RlaOa2rq)E5
z=|rI_0T-4LwqGWdeRy{E(CzB-UhHN#I#C59c0M37ABreRakOG$TG@N|bMJ5`qD(bT
zbh%}*J4ug9mYHlytBjecvhi)N{&y4ab>1b7Y&r##cwvo>#UmzVlLFkiIsX#1Q1g7r
zXv?=y-Mwv50Gmvkgw$GdD
z!C)@QZ+7@{IJ%LuL>w{{&YwCb)NI(bh`}^`MmGO*Ar_HjAZ_a$nMi(meqSWREk_MV
zVI(y|#^mxQOG3uglfJ&!ltHLuq<7hjx&9yQ1t})MX);C=Jq3C*`YZt^iwZ|4#XJ=1
z6%Npn-r!fLN!bnBKAA!7dfngNd;^(QW~Hg@m$}-rC_WCeAGJ%Ti
zeGDlp`o`Vf$m_PR2mc5q?3yTQPQlVbeSV&HV|}}^2*8D$?MNnOxxnSs=@})e_&8yW
zlhGsQX3aOcs>_Mi4ZTe!8T+5mSgku;;dmM7D&!ivaFyaU%!#Io`xP?xO~uA1uO|AJb)wMyjFG43hB*
z7uQToH`le&!Y^{wUJdvRKc$9})OQ;)hvkt)%0oL@?|`uUv}BLkdBInVtfq$F&8Y;$
zT3ZLDbV))^0n7Uq@ll0b@Zq=RH}wY*%MXamNFMtBi4`&P#7-ej;{>}6jFRBC~pK&da7kU-W(ElxPcJGvtr1Pz7Uu)|R32sJ_iPHbVz@W2*trhU``kWeP}
zMsMoWb*GM6SD{Wuy|`>E2u@z?4e+P7$y3FbulBnPJR!J9E}Z*iu>O#((>jP=%u`R%
zFiqn0IaM9MORYwFxCDH>UVkOCoRx#5yZ%7epxH%;c(Q>D*U@WgYd6b`=zda>hcR8E
zJT#>bx)9YYN6S2P8-${_Sq0JU$seXO(7_$JvH!<8x8s_E0&kBjhqisT_fyC1mZVBuIS_!L$xflO-OGwJO++u
zQ~9sH#T=9A8YyoSWA|x0Ymj50L@-n7iAX8PiWNR)cl{DU$vODke>kUZowm98c141i
zR75l;v(k)f)n;-}!~V6IQ%0L|*YB;6JeEfd%k)=jXxStW;+{T1Hk;$X*(;Llg`I`Yi8`$KP0z%FYI&Z^N8=aa++%Jh@hp7vd!M+tg@8ntbCcq
z<}!_TNW&~yehjON4G+-mQ@BWMKHYY-yJR-Z|Ev43?DOi
zu8*8tJ*)c^NpN+jeHM=S@x>mFO>rth!+NW>gG%b-e#J(l3=4Df>Mp_g7pZ{x>mYHu
zUQi`h4GT6w=4yE&d|}X>`0*nm6Oqpy0TY9G`az8k=hNIspjlib*P#!9cNh{{>7fl6
zJSF{2^D{#^G4B!Q(j+
zS^RQ^-9oZ%@<+{Pe3<@oMi)*AKkJn*tshVm_Q0>E^-7A`js2mnw-ZmV$iVJPYNW?1
zXmQpDek=k8{1^bN0i!YDj-H%6g^6v>qo>%(rDZ{>4N>%0^v;P>JFVR$j+mP(e9Fob
zn9~ZTu>^73F!Kt0WeaC9xkZ)Fvwp>@lcy9*Buww8v*7slhgx1OO#h%U0w8xV190t1
zUVci%MmBS2`R)BepXKcy6HqTkl`yy*-biaz^p`Fqg*&^A~!I>ZX8V842b>$*VGXU3<6
zt_stp(XRJsYm)oVA@1W?-!hwYBKu(e8Edsa5d=7%IQ}f#@sV|T5mdSidq6RNvkJ!C
z$zbnYZ_&?PXb?Z79-=!7!Rw8>Z_CpIrwE#Gpi@NEwu%h7rn7%ovKiM2TYm)8fk1zGcyr?&jW>k3F9x5f
zzVHua*Q##
zSPZlA5NqzqUl1(}
zI{~0Fxd%NheA
zp(r|M3rx3PfoAn_OKS6jJmYR1b|l&!)nNdrgUSnTs^83FOA08~?W+Z*ha*yUqtnWTRoJaX?Lc32tGi
zE(Y>F?36cWOxhPi>ffr=@V86Z&JXIWSU>AcJpKl<`P1**WNO6&G&8oln)Td`_DmCS
z=r8A36TN9MCY-o$9H_VM1kMYFR-ytb
z|LzI)?;q|1PulE7?U`JnK#}l%j$Cp#W6t4eCh80QPp3Zf;_pqfN?53Ei?5zF6{qeL
zy{Sre{X4xPFZFLwI_J2B8?3Dz5}?Y{HO?HU#W=-;qEN<tl_JKOmX*)2shBpSip?TcH!_
zdpRmQC9c1R~aaPT}aca}rW47N<{kh59#us7U~e}Ma0Jww_1b6|18S_C-S
zOV9_o2TFy(+DtG2=auWD^fr~6ZSeX|vB}1>#N7sj3??6F+(>-m{1oTwdGeFVY^Zzo
z7Cyqhh_r#3tWSg?T#;qGjHHk19Sh`ovxZ9gl$@plcS<4SXB_zWg=?b2W`Q!=+t!oK#mfKxKf4
zM_yXOs!|hM-HXx%d)x
zj|B#s)%P}k1*PQnP8qd_q0vyu72t@Vlm`-;&h=1GHpv}fBqF_X*y*tt)NY2Seflf;
zn6_fhXk^o?qiOjoi0R}6g!G}Xa7RK(PDSn4v%hgXf#I=VVX*E-EE)IAXxX^Mn~S6>
zN3v`o{3QQeZFe#{xFwQ@3^$EnYgq8eVsj7*@(BBGGb(sZ9(sItD!}d|0O!y^LVYgL
zH)6YnLm``9-H5XT!doEv}g$zJVWx2$Gf-a3gD;Djh`io
zd9HrrlKoOD4n*Cj`McF=^|>xm$6C)b{>=yU^!ES2mw)>L_h`0HSX5dmdjc8dFauIR
z=P{vLDjb`K=FovYom$f4_fJPc5}f}g&DHpW$g%^07zT1#tICk;_p39S5olj)++NGZ
zz@#}}7~A=0Ze+>JZ_awDOn`(6fJ9iVd#(LXap6@$meWoiLI!FmA5lyK6_w7zPaOzU
zR@@?{aT{y1wO6ScT)?8x90j^o(iB`0d2z@u946xxoAoCrG%axfqZU|hbAj<2gEjmh
z!=CK&=qO}=`pD#m#)k3bWaEVF>@SdQ!nx)TJRWLEQF*KYdS8&lG<8vs3c3T0z7_@6{gTlK$jU;J{Bu~2&X
z1pfi2GLnA>>^^`-T7SYz9=^5PN7f16c4hnvm`6{}V}rPZRfDN2>xinof6Zs9DP!I_
z@d)?Z*@yGxM_=AJP(E0VkItF+e1`DY!j`RRv82sSG+9)oknC3d39$|3&57E`3SdoG
z{!<`x4g0ah6R
zGBs_56Qd8Hl0PiD@X3(>Z^-(Jt%WV&-0`^VEVsc6(Rj|YG-#h$pFp+|q8GyaRREFA
zBmMz^2WLmVNm};MJ?wAz2}<}Q1p{UT=+f>FrVV@i7LzzEXgL3Nc064+oKO|C$^@9p
z_JCl_%{&tTy9>#V*B>@&HPwE?a263ZtBu?{FJ5;Hth;$W$akB#!
zI>h%vrD`2G!qj6jkSDyMgnw0C@|uvXzfwQiC{>>~>V=X#6y}G==F%4Y+BjRBZUrv=
z@=0dhO30A2GLe?SGXHkD!h)x--qSmi1nat9s!^eGKImZI1rmwPm80>f%2vSVJBJKK
z&^0TyfwJ83n4Xyf3QomFO?p9bPve4%6ek_ZRi7{m_(RKg%~ns8aH
z9ogdMbX8)4!S@?|I#M_slQ?c-!P789QgPRLih?mbhT~8E%aRRL?)HU`G+LZ7{c$>7
zVH19Lg46lio~t|=`c#$2Rsvqjy^g=WhpMxyrc%W~^n9K~tp`FbMW+EenQmQVKvw>
zzyan4SOZd^?kkD0a5vGjyKsCNdw-$NkvpNXH}uZAXAud5r)`CH?{(KpYraW99yaWH
zL4E&+V-apJ?$w=3I-#|{`-U`gk%H~7xXG`426pSI0^cjf=3AK`^-XLWI!T}_%F;h%
z>=g;=dqjp7Pae|)^^A^|k-~U;N+bv+Op@W)LC)MW(TF;-$VSXVhB3qU%
zY+Vn$7*zeqI9x{%|Ds$ig*6QaQ`1
zvFdHftkLNDFiDz)+kv54x-a(yPjVw4&AJbcQH<&no>3l8i4~a$f6Q-g>nTi=s$NG`
zJ8~-eWLs{+`D$Ye3Y@EvZu74-AzKx|?ctq(PUnB9MabBFsfI7@#;Dueocb|Ngdrt?
z+DV@lNH7T4Nx^!{j|%hX6y>F%stIb{?KeE|vjEHt!hp%q
zWgu;>;)YqpfQc@;PSC;dUQqE}91!Hh=9k>7nL%ZY%QjToB1x6gYw$
z{D{3qBP_-Oc;I6I8hEvtH=?{;+nU1qo4L_8OW;+zK8qGYf#l=(yh5m$Fy{w7=vV}_
zkjmjBWC%jyg3B7<_0Y300wAq9?uw*GeELQDe;D4tUoapK2A_pqqoT>CW|^MP3M@;V
ziw1#8(JmIk1%K2b&n`0xZ-pEZgAjfkK}il7K+FIRr;kz|i5uGT%Z7X5uLP^b()w*g5HI80o<{^oNp_@HO7hEapIPDj$|=&&WP
z#;P0x8{i0Z82OS5$#sQf4S$U<`H{5iR-V~XjyyjwAn3||Ak88Bop(@Cb|updqD`s<
zq!UqaKb=6`Ng_1V&z`4_D!c_B;
zBl%X-S=y6oK6C2J0D3B88$E9qvJAbbou_&><^yi0EyaP7Z?b`d5Rts!>eXpI|;X$i|#
za*}Ur$pu|qaR@Cs_iJmA!p3@ZTEiqlh{Q^qZArS^+18&B>jM}(4p*;;w%P5Z^k@Im
ze?c53I=)iO&KH{T#Mkd$6l)>0DBiE33#|c~1ItP2W#e3oBUBKSq%6q?(h-cxde-a3AbK5^L@$t~_lZ>Jk(81(;Ys0D2
z#14i_ga9-S06CNllRF=MRb{Ly$1CV`Foub>f<=D-Ok=V>vM=`Qv|(ANG!Xy*x$o2~
zESTcrKW0ROl*`t5ML|VLmUIeF##9pL>b6!4G{gaSz8#MsNA$Csh*4QX==T!zJdjX%
z|9eh=nKZuBcFl3h02-)!ElGvuXT@qZ2Lg#-zggBaDP8V^|xAg)BGPK^4na>MGenE)rX)+s^vUg*WJ7p$7;m1As4u
zgB1%Pho2Pzr{W8#H4wDhNiR!@$EXUV1LUN#YcMy6ECtwFoeKZZglq!>FI
zY`~4jh$NK(6bd~pMQd2pfO66n(i0w37T*9;AWtRYgpbFF#6Xj>zKtSE;Y-8}*NjUP
z7;fuJa+l$3E(y!+&5Hah~Fzdk_#ZrfZqPByztYn4K>HsIRx+FFYOyctu31CwEFd
zPEH!yliR)s`HF1_TdvvcpH-VUp3<2dW~Fjm_Rc
zqXAUV+hVRD+4h?zjIP;_%d#foYWsxHXoluVB4k5V_kj*W1k!_Ul^}sw2Iork7xz0uK;~s3&}kZVq);57J1mi#K@0hp#s@59#m+RGO=)p
zuU>0lQg$v!c|ygb@F!H2FUU?)3aBF;Y415Lqb&!=H
zhm~%DK^9axQkVu=KJ2xhAGOi-BFREM$L|duzsr&IaeX@z6S(1LXOwAvmv0)c4+oOc
z(|h*!xrT)Hg!O$-#ss#CE2nj1_k8!fJ6Lqm&T
zq|d6hlt&vx%2-*H@J#&Hy)=BrgHxbM+O6%%jWFIg02hC=9Md%^K?IWWcm0l(z29cJ
zV13jAkl-GKEw2{+b;$X|@jvUPRN&byZ&dL)E
zwt$U_$Ps}Wm8yreYfF-DyxydHC}bD&wNf;;M={*u`^;m>`t8}Sc*PSn+;h*LpiO*Tb0bwEaicVflP(A6i1>YXq#(qhhJS?6}--Gu%~4S
zINhE?(9m!^`oV8zVUb%hQ~&oZ2JE8|n}UJ@DH+*Q&nakb7@E=@Fm$*d9NsFaNwX2t
zumz*T=b$++5*pk+U*YtxE6f5t&=A%EW(+QV5nA}^1sD`l6?Q!!0z(AmcQp4>K+~wc
ziTI3g!1d1uqfc7X)$8@x9bA6}hWh;9d592Qz}7*BY8x24JlL`Kr#SFv+?gpVtp^Mq
z;Gm$Q>N;5JNxZSOv%}tSso%u_3Uug82q1*Av(->Bv(`-?O$;caNE}YGtkr1gTl8E
zMUD-(MVW~TqMf)YYU^gM`_m5ML3h=>Wq%EZV>O2?i-r@k1hTbQ!MO7u_jzCD1o`vn
ziDu&79kP%>XfPJGPvU<-Qp7Re>?>qfw?Yhrb6()Wv;oY)JO1FE;A#A0U0R2XBfJj-
zEurE*t54F~*4OjPPNrM@MVoI=$|f3Le0n8(&`AI*-;RE{g~hwR;$YGWrbwXIXcVrg
zhQrAESq5+6xQ?d|n1<11{|5IHbn(6orS?Lt`Qt_r5*j+w{H(`u|IeNu3HZVQNZc!Y
zuTE12cEA*TqLJTIAZ}bdJj-t;lXKrdUlQQ3*L1dcd$otdR<2v{TYI3$%l_x)yq=<2
z0dE2oNew^5gcT0Drj|iZkB5tUlX5=f-u&*zXZ|IE^mD11
znzee4-R3Jh;iJJP_nJ7O$j_^9sQNKwq?!L4n2){&y4&6Cd$k|T>C-lG^6=q9N6t?Uzg*R)C#Y^&EX>J29e|4R5kkKAc8unv
zJ=LpC>EWo5Wsy5I$%BNWAtk$(@^Ew5aVr9jv7;j%7(&;Y>C4-yKfh|Z^AFsB{^a3bJ-!{)3<|
z_7T`Cxk_Q7sf|r>c3@CqHO)Jxv=sqta~%uVahfc(4vl~V47Lvx*K_PuLVq|gbl}?o
z;9w5GTNw|0VlVns5+oWce25AL>%;B+jy_ZQF6g^Wy*mFD>lXy3`pvAYtTaAsWT;mM
z+Ri8@mSDe434ZQZ4dxSn^#|nZco6cY!WD~v6o#5rEWKjWFwIvd)T|bSr`K2guCSY=
z@b-oWsf`G-@J?!P1sNqlt5{4g?)9Kf7e`%hv%17>7+kT(z-Fb`Z5$kkl)xB9c(j$h
zW;`&{%wi?#**p}scqd00ZtC!~89pMs>oX7I;Z&Yi24w$Q8Cw{JCd5nZeFwCRf1%68
z?iZmqKH-lO%Wb8xtR0zH)cW`4L0-4a&Bd6r_x
zf2~tJOMwhNEibTPILYPT{xHq+cuJYL~E9y54
zY+!Ld#w3@cb1+slrh&+$^Fc?`)wr^D(v1OJ%-H#}HBtz4q^(fxnk+>O8pOYEbE=Ux
zvZ?fyE(f!hfR(*T6j$mt|tOtX$F+hgK_dDwu*;jevWnP}c$GcVa=zYWcLMr3%uR0SGRHjTVk-~VFjtD~w~yRQ#j(kUGxof1kO
z8bPF6T9HPjySr5oK{}*EO1eRi?oMgx?(f;&_cz9Ohkstq-usCabFDcSpRy&OJw1u}
zlZ;9RTbkkg!L`LqRl|K5M-(`62pd(e9Y1L&F{gL1^2
zbLQfHy8f7~XW+=@V$z{nsOntcI`S~wuR>-zj
z@xx*ba!otAtb$B#e}-z`@%7hUt~pERa+X~vxz;{|NlrYcS(E~cL?L2o_vd0RV_hqw
zo#tOKJqFs_)MX+K41_yk4WDfSa$FYQ^v_I|^CWC$M20UV&7;Ppx)-|T`3K)KT}LFg
zBC#B1hp6hHx6VU(;9GF0dBXbrWlCE+uJ{9(>)qwXVFs>O-kv3pF5ohoEHTI^U0#Xc
zg6!J6zfbJssL;o+Js1ej^z#J}RRoy}h)IeYZcMlgUiH)@H*ih#glFs9
zJ)1d7eckU|JW@HUcA>87Ix2C5i0fW(b!ggOm*~@gUW#{f_Q$XaZ!xQ8tZstCur)-K
zrlHueYR;PELpS@>F?BW;I?9k7Q8uouN#yC^EgW(dy8vDxM@mPXNcI^mVSPY{y!Uez
z#}jyIyWeZL$>tkm2;=ea{+szCt$-|7k!TA(y(dpG30ScS#vj~=&Glb{1!8FG);Vsh
zrP&blyzErB(}cYqbW8O5S(}g-e)ArU;mg_c13JGIp?IYoU4w^=qAf{>+_!L?@_C`I
zg#i*C$UL)}!8D4QzRSt87@?JYpWPuNDy;GQer8F8!+)js9R(wr{I;2j^SkLT^V6sv0yr+)b~=F98)`aZ8E+jEmwC=Au>
zFQTRQG$}ei34HsjUsE3S@U>@*-*DkfMF2hIwPbJSTGP7k&+CnL&Uk}^3km>-8ATWRGs-(K#j7y}S)QpH6lpk(~iQ-PrJ_>m=3rm`*((uB*bqUZ8||?I
zK}E=s680v}?-2*aNTWe5h>o0TqU}~XTs#nA2som7%44%AMdJkwFinYJ_hr@Md;3So
zm<-Z-P29#ebx#vg+2U&gjpCo7E76t@!q4KDW;<(=wOP^NO;zRZdge+(Dl^}`F=BUO
zyg`6@n3!ddLtz0n&f@=COWY;34%)^$a3<>P1&bA
z&iExCBgnv&*+T6mGd2-(EJ+7U?E{f|^=tcOgLQT+iOW+`uza)8rW`ou{BdPSxw|y-
zhO2hIc)Qh9*kKfE#z6P*$_T0t&=lYvNB08E;;N%JJ^PFE(TqHbnv6v}99H?$zr!t#
z->8OE_j{mKN^Ph)v%b`IMe%sv>ejjChadi)&=_oX;WXx&VZ59hn4
zt6Wj;ZLVLD1=1&BIuT_toeR=J3&^P>iUzT4+&5PI|lniuqs)PB3pMx6e#>Y|bU(Baj7s&LIY4SKb6|L$g
zUq`cRGoui%%zqO$XQ)#|BQoCFB4|)6E3*M7i+iry2|R~h&ktef-)E&S;25{RtRoo3
z{j>bqYLND0Q{dmYsOA%V;$$B&zgoE?r6BQjXDUL2nUT39XS({QPdxU95j};cymH78
z2`9UaUmTSEgJ^$)H>TLrR~}=UDMy;3P4xMpBY3mL7|vO?wvJq6Nt)BMzP|c-;Hd$Y
zNrR*djkQEO4GcPdF}ybrf}3gez&GJ=oL7~`7;8%JWtY_9>+@=ITm^K$uw;U@uj11r
zh{PB=6`Xw>DL!>1R`-8%Mjaf&Y7gK1R36yICHo&7rJ7J
z_5^psq+df^V6Fl8JTa>6Jw=wbEdH#mqh%2Eqhpq83i2#;fq?3{i-I?N6Nz0`r^rKuFG`a{d#?4V8RvyD_F__)BT!h%_1Bht&d{d_tN;`87*^N?NG^Jxa`1-
zrl0`F3&uBBlbWae;0;zHd$VquPv*~RCoB0qe@xNoMul&~Y*_~Nd(OHduL3DcDC5EH
zv&bvQF0yg8f2Kho2*7T0-pOS68gK4;qw%!m1`OUrO
zaP!V)n%RcFGVcj^0QNoy(>6mqcnfqNSj$|dMA!kgdrn$_YfC}&67Xiw;9Ur9NL
zqGu0M)?}m~^JOoPNC1}(T-R%(DytHnI`!_&cvbWq&x|+>>Xm^Qgz^N!d@XjB=DXE72z8Z4xO
zJ*WBANWw0S=sQ=~stnO-q{rA%;lK^MFL2lRHtyQmw{zXJaXETCq{`?dw(&6fA#yAS
zi%>>eyk+<4lUSpKH3pPX9trU``FDwD}xGaWG*i
zL?cW+qT-Lqau0o1X^f`PJ>%nWrj*B|o)P-lm<6O0(p)gJhP
zzwU6JTu?}bww?J!A({lPeh3OET2O0SB2b(ipux`e<|($<+&a6?Ej`l^1os)PKX|bD
zg@304=~ZO;8Y@`_hK-vG;wbL=QoO)fg?8i;Qi65~9lGGGabX#;h7_%v1hSokB=cIz
zVCHOP-Rv)@Hi92ydrE6DiEYRtjvnlAgs(~inR$I7gWso9D_+RKou}xhy5doW!E*t+Ll%ZERgkL>>w9j|#*JErw`lSqs^t#&lZ(C;NJy%r--G>e%UH>P%tl
z`5x$KP`CioG;fG_3dskLRs2Mn(xbVa>OQ#ix$%h;rylTqUAkm;*6jxKP0-*zJJZpm
z_-yKEr|7zc6cG~ftC@Ph7Rh%^Ca%TSpmP+5B#je=9660@!*lSa5X~GD@fQno|3)
zChC@PVHXL~e<`W1s8Obrd3skb#5WT1esaDo>AptsHlW>|{?Vv=kvM
z*g0s^B9#8T(b34ltZoqYn<}}g_qa@uURFZ8G=pw0&!y4B*G8BNLjMABq68B=q*XX-
zCN+o)-^fK%LO-bx{BzNBD>7m;`m{#h#i3X<_p>Hxu{1JxKRT~4Tq=dRu)#~-cqL$cX$AEFIHhZGJ
zD>D?HW)47VyrN+o#z5)PX1sznc9{A{__`iF4b0KmD;esZn)FhHj#~@zz9=G
z5{B*#sXoOos#D-c`G`i22De)XNyfd?sWP8C5(=@tqXyCVkg(?<2>1Mg$GFkp?M~KV
zR}a|0zN`?Yp?l68m8iFWWky$Bz-d~Lr`vkoC#v;y);+#%DloIu#|VRX%2C~P{(8J7
z$>W;>jb?o~v~>7YgwUaW&XyJ%EDF0yS-hnByVxu~WXWU~YVy0DkY7JyEYE)|2;ZWo
z)$ba}BDzub)Xd~xeSa`r9cS70zl&EvSIT!{SDo<<->-ilDN@lq~3Kx0Nz&=a}1
zwR~Y=bN_GgqaUurLZ1L<4f@W>&$iRTP0K?)#hUlF6h3k0n*UHydebkGH1atD{F`GF
zs0{Sg{;Xn#Nl!=~_;^WJ4D5?xOG@R{*W_cKTNRwu$xgia60<*Qgdm2FO+^m0u>8Ue
z1L=G#zzX5tm8e52of-cfAdXlyNd*kLjvLl
zlzh`~7by_O;$?1oO{PP+ch*lN9sa@NgOq*G?~U5@esk8&i#Ut|UE>J@Orl{ng!(n5
zim=tm?j5^_Ttu`^s>oSiTurHtO)+M%R-h;us?2wq}rp;
zpzw|eU|9*ora`^5`0#Cd!h9?SU*t$AK{!U^u2FgtQ~BC$@?X1FreP~4IC(6<;5pyl
zp1XKph|1(4hB;tA8jNALZ{+kXw>C?3W5z9=nlqCf4*q@)iSL94L&9gR<~$F&UpUrBZw@#~GX7g!gjVR_W3u@ccmc_io$tJ7
z|JMt!dqyzvCbF_Qs+a8&yU-*2`?uU+I7Jp~rm)im4viV~s(h5e{4i4xcE{*lN_W7}
zf%FR@RK-;P{?f^V#p#XVcHhf4z%&>#*|2^?7duCT{YAk&jvSYrA4jCW?O<+wFpk>s(p+3d3pUIx#Zn5-a6K5^$^pd+dz7szTjl6QnjKHl79|?
zFI2?d&F(R@u?3)AX12NDb}Q|UB~XZxF{v;=7k))hv3`!pq;G#)&{^}S0g(n08Ia~n
zgfx&uvj|}2SKntqIR0_tA;1^9S@8YB(iDN2_nvXCSPtQT84Msf@E`VLC;%axx*OM7
zfg_V;(x?CW8Em_+ETPQr+Dn~z{a^EHRxl52#jsggG*sA^|FIYBHZ=kRo`*P6>?1`a
zWeiL}`TUNy$d)DXgyYYER3Vc`B=|xYFegCn`v^{Pf$^$r^Zu=a8H$tuzrj55Y;+A4xf$xjFe&x{U$RNT;|Gi~_0_;&>o;$8U-V~zjSilrw
zb<>3*QqFTyaOY~iAi_e^DE!FPGh~TfJFhhLL5R{-5?%cUd*oA@xhQiIeA^%Wq!N=q
z7l!!sHtlQ6m#id2gR7MN*JnVTc$LJ4{B__z|Sy4@f2C?EG(Qs5fD{ls!
zQ(V~B5Qm*$l^{Wz&o70Cx-}vVhy%!Nca_pk9vzhmgY;`@&FiB272%Br2>d~$X|h7~
zzGLt(&Zpvi=h&||k0VtR?(u>wuUaYp)^3x2PDT3@t@o?ZoX$%Xxd*GCvlw)pTexD+
z(prFx7Y*ewZk@)WCP`y)Za|b*E|CBBmbPiKW$d00zyUojkBV4G-!`TBk>iuq0#xK|
z3F%9U3~ogX(Gs!0cJOnWM2||};(MmBDMKWO7@`SeS*sV&?ngR0EXSNYYVZ$KQC$#7
z4SFE0IdG$0eYjtUoDi*ZU_k2?3pM1aGW|OeW>`AhBWUKhYxN^{@l*D+O@lDcmY&M9
zCr9jIwQ`ss1m$+`yec-a8|VfI;*Qoe--<9nZ59c^MlyKamZURUfN|#1zHfoQRzGO>
zJ9)&*rNi7{($2Y!TDqC#Xl^E)
z>ehK>?c^W^(DcrU`%gu}u@kx{+{evsznttUlFxarKZ#V&eG4?^LBeKX+L02_rL<78
zzo`uiz54w>Lm_25g_z#j93<_Pr-smRR(hqNZZ~RQ0yAFedRpznjpD^%OM+OI`wEWO
zW%2Y`-HBgY&lN&U`Wgyz$%E!Fc@YBANcveQjxw86mDNH(g+
z@mR1H3bZ1!z{jrBs&*z7dixgqnv)(QGL&FZb)S_Q2Tt5jpa$oJ$6b@}
z^Ka{uRV}j=4>O&od$1pK&RP$TZ2AS#;QW}Cp{OZ56P`}SuN4od5P+#-J9sCIX40fbIU?=b`fz_iGm{&SJgsp0>veA!Lv!z*?2f2X!
zPm-bBODpeX&EFCz6RAS;U>9V_d
zBd=>=$HFZ~B$ly-$8x|bnQqwJeDWwQJKIPBb)B|PolCRxSnw#!O-tfKQB;9>qJ2F)
z!ud{T5^_5$Y2)Ah80b~+F_Y`K{l{kMsq~1!4ixhN%v8T6)ct{ei~o}@jmSm3?i*#S
zgPp&r>KLIQ!;13}o$F1*+(N3&qF6laJuk2isMs{ws#RM$rdVZ_Ee$QnrB}y=w7WuQ^sJhWdkLuB;M~-(UV?_W7kOm$0$S8Bl!1>mfC8DiU=HJc
zo*Ij(tA$5k!>#w!7;iriE7b>;D_w7Mq*s(88`YSi13#x)G5;HKADJ0^;~B*ru*BI)
z__(gLlmu)`F;m`%V4%enSX@k8$k8XoD+?9DFdzHO;V}A6$HxAsTcHp*;lcj;MS;2D
zp(lmYVnSk_IGW%F(vJpyFMxt~xZyJgw{!@vKxS@bYrv+Tdb+P23-U;(VvyV92Q7@z
zj*Pr=Ge*m!EQ(w@2jQIwdgI@6*6{jzF5dBy9F@+JHH#VAeW@2i^=Op>5F@~Ex8hwc
zM!Lt2Cidy@3*e4u8}~!Tao%phiTu0&z%Kafir`Iw6yXKvIXwTK1L%%V?xoAEx(mEF
zNN$D-!hDZ#3@gM3%)ripB3oBpc$iB^;mcKh-Z2<+)1+_aF%=Isjz??z4UmYO-hM6M
zG8PQ54riwaUCb^AkPnh;CxT(06*Fv00Y6mou1(@ltjP%gG^g1sUD6MYgLb3W2N
zkVJ5KlIds4$n#VW!?<&O1se9XX|9+rg1+Q0CbkqdNPdkA*IEWwNxnWd4f(;I{
zk+vp$M511q2J==vbBgQPrXeRAL0hNcf|q>Sl~*?1E0@$qgk%n^n*Vd_;sO@H5TAnT
zO6ydFVXZ+pB3KVj6;XhPloy&sNu@hQ2Z2(-qrtbQxY*Gn+3Gb%Z}|mxKzl@O${BPq
zMA}DCyB>mTXTC;=gOq+XN7ol|{5l6(}4yaAbnXX$W`zU&zF#0v*og9*@UL1Cl^ZAkJs
zLhJ^%xwW8C4&G@Zh#fcX`AB5z)x<|lF|)aruJD{eTsrg20gh
zk7BXbYX%l7iR7
z%<%M9h3S4g$7&FcJ9+d&t{6}2`ItvG?w^?1M2~FW{A&kra$*3g^&4qK`!-d&W@|{j
z)sS_Ig?Jqj9F~^8wa`JNZBnD#rUQpOD<&`0ZhWAc13Tgn7|naC>1+rQ(DAGe1iOBU
zIzgrh07cWoEmQR`Mj~spZoc(y!^ZCuMEXSabe_N$lAPkaI{k-GvKhcC(`e!^TGKXx
zkZqjjg?M7f$+kEUD>MF^w5ftR0-hWIDJ?ru>bE43iVN~;APjB389sWIN?e)kA4Xw%
zz=6TEDsknT%09RsC$_Ynghl9;yv%@2BDin1?sJSyGdsfKqkQEny3v}-mU$2y0M=sa
zrsOF&=Iq*-#p&Nc;6@mfO1)S6T3TcGzj7eG6_D!#@t+oqe{im#l}z1a5O-ZGida&@
z?Mn%j`}`;~zN+219^H9?=E7YgMtCbPDmi(SDvhE6c
z`#cZd@0WS;+*zm5LjeCYZCr~H$v}F$DPUX}|LSBH_pJ)GVT(j}BYSl>+$JRWh6l}V
zID{M@#8i0my5bl4iip$NNogB|^Al}O_@~UJOIekEtgQf|0Qti(l~A88d7rK47L@vg
zvLeJnV7s5Ec$YShv}hoQaWTHt<)@34WaoL?0sY!O*(c&NIq&9BA8~t2+1wJAw(A}(
z>G#j0W?&B7XZV@++cpT59R!b-T|vCZtHo^r?m>zM93&_V4J3y5JAhrJW^G{$qDXXN
zxXA|*9Fm&p-|eU%xZx)NWCF;l_m<8wUBmp^Cb03TD;Es9BQxB{aL=#GV^R>A(B+Z2
z4}tf^C>Ex@P?@=az+Bz5u9zfYaa9ujY1z2csQ$hPg-
z28rkVdn!1j6hh6ZS{a+IQnU_O5t5b%(vLOJoy^pes*qhSz#o!3w&TGL$Hi1}0ovyP
zFnv3&jN-pCxFbk`dJ9QjhhGVb9+Hm4;jyO26p+^
z&Ocw-2{y>dYDMZi1+?2ZF7SZ*&<#4kmi`8Hooj;XKBz51>HoIT09m!)rKhX|_QoZ(t+I|L_jv4cO3`8B+!J
zf^as+jKvuChzR*^tXUfbH+Cgq&*ZSF1q@pOuD}ScN~;wrxm7qF-mGThtN~ahy9KTg
z$pQfU(emA;Lcc`;8ibg8TTtNvZiS&&crGw&L(^te7Z4OmqR1{%?-VK@F%XhxQ`q5c
zuHV$mbcR~+gRYz(&jWaJ|8;4QtHqz2NQM?%76tf2MW`j%<~oL^@k;R1O6lA0ycw9F
zw@}XJOEd%{iijifkIX8sgJ^A4uwzMhSsW*v3DskR53C@d>tVZ7kU=-vnzxmf5(@n1lW4H&>h~!DVn7E_dt<-|96xDkd&p)`
zwUU&bQVBVt`y8P8_)ZHRSvQdi%XKH{6ZoOsk!S#G1YI9fc1R#6rW<=#np+Aq9@v2w!H1H)0Wf6744Tb!
z5EtW_ZTD2mb=0rokJ)kkib|w0hhYyAe#bd^S+2oPT^c-J(Va}!E^LP_r&15mVOt>$
zbw6z@BU&BTc2v(W5L4UMM;or{6HHV_^eHm_)V=@v?p+3kw2K9}Bd9@ga?p}yfWER&
zA)wZ8`*z@4>%TE-KKHjfsS~t431fA$k!<7+3aKGK~Al9q1Z49?UY1fnZ
z>kt5YOMTk3&}qHO!{QYCTiy;6U_M^J4^exI_9P>IgPh;W1&iLtX4mWWpvSMK*CxQ!
z@N(&una>(M9Os<=!rmwHt(4-f=#fEK&wWo@DwfL~RI9{4t(L&`MZI1%%oJeH5_Ai(G)9I=K2#o1MyH)HvKrVNfdKGmWG)f219Ql(*zYac*+{N8EaQblvD(Y
zqE&-`OkV^ECKJ`K8fPTJ0$)7e{ho?R1|r(~I&3=Ms5#BEwj*1oV=J!&xb)dcdjd#I=Hs@ogI@elbWt1zr
zZ*t{FDRA#e>0W^QSWeM+Yx;3}8nJ>pr#W?>$#Fd)9;?*9COZj8XI#ki4ayLAwXeZl
z*zMbUTdu3b)V^T%%aM2hQO7=Yks*#nRv6_3?Zooh^mPVYgGdBxy-9yi@B!@8(ti!o
zY8?m8h6ZHh^zTF+13bo&Tp_d|6`C3^ulUmVgX1^o*LtQlFU#oYckv8d?yqkHSV}j|
z_Ts9RmFx4%j}Ywc4khOgzDw2-fG{Az#bD>~MF;S&>w;(3e_ngOj@ALmPJ;w+qJiJBENQnl+WD!|t@2NsiW_PUa><1EIZj1fAHgvP)mG#sQ-i?tFd+{K^=DELebDY&{PEXU7;=F)BWP*aQ&gLh3ZH)eDKk
zY{I9n<4OV>mrU-;5lPZWrcR=to(xx6ABT&9l)R$C=kqUp{h|FQ0P*7)a;kksGp$_|
zUE_^`0-aT+oebB4+JpRIn{303@9iG!#gpX!X#2Mi+)*{(3$vI4VrlH66nAT~HI|89
z*+V04UW%sM;9$*@$-Oqc%&&OY*4p+-M&7=2kmG)WWV=)kPS_3Zla`{jehdM=Z%5Ju
zuh|QkD+0pWEN4Yqm+;~1H|2V2x(gY$0Ynw&_FT|P+CBh*qZPnvf1i8~|Me4-ZAm1F
zHj)SXD$m`yrZ7R?crOmIx{(Vb1A|CeIMJs_B7N*{d6ts6yV;BOiz*(dY4w#G8n2gz
zUxEsc2Q#j9Zk1L^yo3%HMJ;>yR>%j6I-ei{JAUX<_+XL^j_*^X&^)xFZ}(4rDL?He
ztIutya@Uz_Aa!kd&(OpXC%y-FCx}o+vEJXVo&t456#C@fww54>0B?80Q@?f~$Ba0<
zdy5ZyxXRj98fI(J{o{fEgMCbAJAP%n{ZX5f#FNrkV61Jt@NW9yti?}{rA@s#_;b39RnCmSc%#v;AL9a
zE_DNPYHU2u|K!bZ?tprdW1PphKmU$q4O%8;2S`sP
zY4Syt3;4F$*b>;PB6+G_S&rxKJpp<8){Dz4B7+t(Z4FJO*F&WN6%4RA*vB9V{J4@2y7tJyL6K*k|AiS8sobuk7>&llagHaRo$5|Y1%P8W4xH-$U
z%kRsVgK+Quj8(9rQ<|#M0>_Mq&}Tp+pT@M<*nCkhF}~{-u=K{`(wUov(@i{(vb*AS
zEYB^-`ZBI(O;#T@?LfUw-OuGC0bAFi0*#)(#f3k+2qs_cv%gLWsRG?CM`*e>wfqSvl`1fM@3a_h?wd0Y}xih%iDe71IxL1KQr#H+XqfD6;`AtcJ4Xvd`dk@@TNFz|;|NIm%Fqn#N?z^S*rVA_9GT
z)|WSu2rC{@xoEWCIr;DxZ8iE=fm|sug0!{9dvv8rdr~e8c2V_?wogGV@v`2}>3!zx
z2Hmxu8(E>ww23u!L*Vr_vro|_n4ebfXJ4}~|HqImZ6ftN_8Gyzi$dAS$^0~EkhCfn
z6s*~T%F9*cd;YPB^k0GDQ_tMp*j%bESrb8RTkn-$s#bErqn-v8$vbQcZ~)fRltH;;}_giqf&E!B?mX5X($0c2_mStZw28dvg8;v8Mac8HN0}8p@_Zps{CcBm4738!4Co#L;YV*3gwU)&xk#
z5PenuG(a4Tm58Q%=6}6cj|-7m@xzL4Pv)EqL{5gJprM&yn596&hUmToYkYxF)P~#J
z(tDcwLz=@9mqx7Ma_51-&p);+`F=v5X`1Hu_qW!rE)xOuFuf|53Q^8-S`?Az$&U<61YyTb
zJm_O)?dokoi$sO)4VW{*5-Rss*(dmqJNt*6&_w6svRDD2!$4o)m_-_Gh_o>rD
zp%n&7vVFLeaz5zd4D6v<=e`VJU#IS20N=e?a;jhZ7lqUzhGgk=0g|o^DO6|QZH{fb
za4KICmaQ6&#?6ft(-FVvp{aljWX^NJF{%lHUb3AzW>$
z(}FL?clv~f2u3bXI*|n%ed`)O6YWDV21F`
zsnI>ZhGu70j9A^{soMRfYiJ5Im)Dl!MGKmkFKBhc+6U9HA%i>ZL<`|9q9sdN1QdI2cInI@a2wdoP{
z)aF&<)yQN^LM8dg-n~i!V)z>6-~H3V$AXq|ZuTCPPWcIIzz)6Ede!+S{74xyMWi5c
zio9f2;%9Xw3xZ1Epe8(SVd2?>N;QR>Zl4=8*wPoD%P*6j;v^BvU`e^4!$b)((3(Z>>*;+_
zKr)7gGZ!xOHG}-AlS%9lL!M
zwCuDI#6k6C8=~@Zl2I6m`ll7+40>%k$GJ`*;{SVjRs6Y$0qCJ1fNq{Y(K81Mr-fzN
zMhny)4)h3K*>$ElUpZQ4JHMX$dYv{mUpU$a_k%Pkuf0iF$#KadsqR-`D(j-0mByC*
z?AIZ*<54aM0O6#Q*8DxbeP4P*_?U&!bJ6Hrc};Y>qeD7xa?uuv1}1tsrtW%k*nP<4
zbHv2me=2TZ`07>QoA?bsK*g+Bw=Ah$C!Yg^ZP&l$-35s0!^5gz2$N=tGZ2Xglg_lm
znBJ{fjNbP?ufI5}X^z4Ljlf`#jD$Toc5LsenaZbiZVXM@YDGC4r`ZH#kf{+ZR4%h$
z{tFG5b1lg3iYiY$%Ople&_H{z320_E|FYTMNwe=Ys7)T;GV@E#edeM#h6o*zns&KniI#Rk?
zeqi%ua&zn27o%uE!Dk(E11xUX=TA-U0cq8?v#2nL$38v@rT)-7cW6{Hm?@6X*VnfM
zcD<|g{;G7cQEZg&a2eN!%;^4V@(>Vmv7i%!So{g~cP}h7X=9cE*oBD(mNSK2k5Ayt
zF6$HYh6{Gb^@|>S-k$V%@Jz9h@DA_{KVpu2kv6g0^1HST06Ak`F1phsJE#yh$;sK&
zym$WX&a`T>940BJcM+&Y?Fe-fw_7_|j51GIcF%pI&A@q^hdOy*T1RmKW?+Yd4^#Hq
zR`(nH)bkp~9wJgDowcT1U^^QOEPFsE7UxeGG`Rgx&gVq#ElnUqa9_B;I~QyiIB&kc
zy;v7)4uc#;^NC_};PCKp%MOY!si7;v;_aS`wYRb=(akc=-Ez{{Ck%^yJV|btRb1mz
z2HzI_ebRXRZb3?9%&*+FbRA_@yrj)-N|4jc+G(8DKTEaES1`Bik#&G=0|TCnYuOKtx`oPR
z&d*VZ>cTTxoqA8tIsz!Y#Y;5pYv10lC);-^3C;&zUbwjXkV)!z_aOEtd$eYRlyU(wdy
zz+6w0m4srVO4jfFp?WHqOwHuta1pQgV~tG8ZRFa1Nfc0%r1^QkbY2jY!=SY(?y{xu
z^BJI+dPc^1Z#YvRy{le}1i=?o(}qRO7x)-Y)l4CIkkIZB^N{W>|8}b117FJSR;cU8
z1ZZ#kJe|-_7Ann+-~ZT4nXU&~eY#|eGc=NNO^(<5l??X5B=<;Qczjx=a76u^+<0C9$+D8Gj9e_CPY?rZO#!9sSC2iGrqeA=#c?b!-2vPl6H@B6YrUhjTjU4^zOO(-qjtQ-KlK#p
zFOYu5%gmpB_0VdLnO5(%%A}pDh5VD4%2PWAmofiOTm9W~hm}YGEy+!;6C~0bMgftx
zb`{n*?+0BXK!-py$W7H+e%+8{lC0tj7+0Zt%-WQi1?iPus32AZD4k(XNG6sAi_^T*
zDT8&Ftu<&O)U%Os`a1LV;029poY+tAQ>ai_Tsk7FX>ItDDVU+OQm7;U+(b&yG2{+}bU17Oe5_kcOGz;}=iOGaDLwBX8tY|h
zNGC^;IrY!-7TDx4rdS5ai0H?Vw5~nR~TC^Qnnp`L&2ePgk>bxq(oT
zCDP?2#bAM|5(?pdBmg1+RIc-6En~8P1+X0H-j^WoYu(pXX8+jJyE3S6Px}?9#sB(M
z72nPq2Rjb+x<@OFp);wtU
zwVizmIwGBSXR6lupbr8>dh1f`w;A@TL@1Ds3Rsgv(tieN@&0xZ_w)~s@$MTK~|s<~X%
z=n=~uwg=;Yvm+-eluB|Z7D~Z%@a@{Sw7N~+r^?d>n+Z93r)HOx4ve|?-Bh97s}~bB
zO;zjHlIWgGNHi_Y_t(vKZ0MAjWmCcH`aVP{t6K
zID32xvxNl_ADw;GN%{B?vxUysz*kw&xM>SI42*yl-h>TBa3yjBMK%M^`RE6aFR5w(
z2ydIyy6*Q}@%6i?6~bgP&>6+aMgxpifVanm`HAoa_PV^$cUdK`W!F32h<%DDv6o1-
zP5He7ncG|Gfh0xIGce?UZ)#g}tw=k6)GlhldhD89wH|xE@J69*h}rn(ZuRUxEfPrg
z2skxJ%%z?CK_5_Ca!9+Td^On#X$lqV*Hpjp`lo#ZBsx|=bSJy{Ws##_iwxm3B#r;7
z{$X+DcZBhrged>a@%s|ey)qOVj>S0URCIgcT@wK2_1$Iro^(F`NIJIA|2z-za9(Jo
zUiWaAU4{@3bA|x%At5WlwRMdNXkNKW4+~<7$T0jqg#6epG`_|gK+oI$?#un|#Lsq1
zdh;!+XMJh@s&TEbHIjpyad*UZPXH;@G@TaP7v~erGWC3QK9u#OvW|=F<=ogb0
zyi#6U(%L^HjFPp+xi2B6F4ndk8*FU-(U_$fJOGM6iTZ@|hFvYsskvteU|)A^nmNa6
z3VgjuUJ}QupqL8lpnyiuyn=#!O-psIzAX*?afK*D-1Bxyl}x+M9$6ojwH?@*qX$(0
z{Vz`Au?BMm^?KFZI<;b7i^d`5BFyaH;^oafors_bBa5$-i1~&7Vsan}&0m9Bp<>rI
zh=Vy)IPQEWZb{n`V+9uJ2iG_adT}D6x9>AOKqvaRF=Mc5Nd|9JfOj4=PIME!I
z=K$b(r>S1!*G|5l2RA5EYlb6yY10lW3)Iul`>A_tIBrxO5jaX(3~kyu4ZPraqPhpu
zU;d($a)9!!jr-f8{Ly56ey}YER2YDAyy;7BaA!aR(wR*hG(fqVI<^-*L&5tx6e}X$
zHmw3^JQ`eimM7m0Lr0Y)*gAH+VnVNwj4tt=bk}@o{w&oFf0#5^^cB`6`TN>Sr()Oo
zn!H&o8uU)u*54RDCW0%LUoo+p^e^c4lWAs1>t8=(sq@X8yt|Fu8v_8Ll)JC}HRz2+
zrooZs>(IlnbuV5quS(y&D{7-7w*#1YUC~#V1t4wEpb%%@`~=46-0D{Mu}PUZW%{7e
z;(wulwB?Kp;E$~2UlogLZp>y(Vx#4`?WtX8z7FT)K6Kcn8siw--lnC`^v>RKSC_yp
z6FAsnteV-PsG6C)rp8yrgPvoth85@i%(X`7+CtPWx3Ql0=jFoOsYD)Bk_8p!;8}NT
zptGVan;{Ka86R}GP$YUYYx7^{kaRNdlgTV&Tx)AuAnGrE32ck{85%kf|MENF9mAsZ
zbNz2j*0AxNkU%Fjr`{#Y*pR*A^j;fs>8m%(!t);G{NAeR3v-#R?reD&Qdd8iGlhRMQdc>z
zju2o1j69^`PixZY(k#J0r#e30s2GM08Y`pQk|78Ww6bLzH5GyEB<%PBDwZvtb1d0(
zhZGOKs!EO;i^|jXmf%nej;8HL+nMpg4%pTxDtnq(igHCm{t51V{j2~X?^Ne(FkQXY
zQ!WIZSg4B#Ke*ymT-z=8u$y7D2pQ;`S(tz>FTo$6xeUt3?s~S{b)X-p!O;8
zumkt1j3rjwKZn9S1wER<;E3L}UqEAG%eFn}w3>pz+NJAb;kvH*X#4)M&#%SaCNs8tM
zmxTUCC&NU}zQZ!xZl=xsG^oUUI&u@i8FGcFcT$p#`8EF|Le0tSMVAfR-Jihy(qQi8OEQqtSN1_UHTVxvfRHz+F7-4cQ{
zNOyf>ZGO-5yx)7ydtK-JbGZ0p@4eQVIp&yS+~Zzjik;-Ier8%PJ1xogl~O7C>pMEb
zkdB~z!3@)crRJDB^1Cypise!1MQU!R>}?i;8Rm?kJyuK>G1$P8V&d7An7mJ;gvYMF
z)V{MCvo6O^J$>ntm$n8+%zHI^=f59j)r@7H_|kl6)wtv?k_a8|V(EX)$cVWrIUzS#
z)bbYE%)OTor83uaURWohPiHWK^t0*B>d1%ZQeTE!6da<>4b#}pjg*LJZy7t{M=xSE
zFI!LgO)2{R)l8MS7@K1}+Fnpt&~NM^zL&M+9~7gQb;fTQO`Ub8Wl!uXdBt=1yoa3p
zA@@_z=ExVw;RW?l9VER!FD0&@-l?msKfKvQ{&nU|(6NYqE@*lFq@jX&z*wkgnC@x2
z+BXcZE|9Be>%JTK#wGu$GM`=|+UIoo#s^u_Z^~meuiIY>+z5Y4V<_O%820t9`VF7U
zM!DybBJzcn?kc{{P|!Hiab>G1FlBzns?qFB^%X8}bRNYm;<15!mk=ARi*pOM`SBf(
zqK;cW=hjtb(71a?Eyyq5xUKER1FrZvZGFA#Q-7R7>Y}-l)GiO2v}rX@zc_B`mstI|
zozLQ4I*De3zSyp*9HGPOUM4~)8Y%K?Z-F_tsibNncWCshe7v
zZ&S=57w7rzb_@2DEl+)@0JewycI?Z!AMPa(eW!l;bx|X+SyYGftOYaGF>pust|mdqFgeAx>-fV@BD?jH-9eO=TF>NdSB{7Os#2W
zn!MY~Rp@Mg&*4YwVzzml=ohWCOUWMtq%Xz&nrzrBsI3DIL)hO%)^
zjy4Pn>bfK{!EbPJ#Nprb7gFM7%l}rKR4xlnFA{OyCsx1yY^S!O@on7T@-H$oQtO*F
zEXs{Xd==9^I!|xr{a6zrOGaDi%mT5mScYd8nGu)U+uiqm6JxG7ALexHE61JL)i-*+
z*KMt!SsHLXoG4U8Fl|9i?W!)j(3+{fS!L$Qw2G=sB@q9o^zdoQg9!R!33Q~A~{R=lhk~xmTNeb=v;QDj=)5I
zda3(Bxi^SAhktm>w4wKyG2Jh+?5atI0hI)x;54WvFE)|4t1SXc&Jgvza|koXPM(>t-C#(dF`V7olKUNpB`3)o
zUVX!iJ~4qxgDlxC7jFmu%M*`Ij@!4MYkHFWC*?)Mi|tNfi=S!_Ld$u_{Bd#L6xR!4
zN#L0lpTjUSY8b6(Mgbb*!6>d%9BGep=R=P1ca(OO@~65fU;F*Vov!I}{Fj@id04c|
zh5?|7jsQRAN%#-RA=-w+BIMVVs@40oz1)AcE~_nWG)%2uHC{M59j{Uu(bW_4hC|%C_RfOEq4;mTcl_t;`^2Q&Rf=NNMNNq)
zC=6&c=iQHeHg4ty(Lc;YN_B{akWcd_IZ8~7+;48a
z99g-)I$6noxx6WW@uHCPb=lrgVr7;l<$Ob8az7G+SA10NIWzF894NELFxU#5$j7Zj
zsYgZ0dyoe%^L1_AZ6`Xb0A31ZJ|6>6q&tgXtKJ{71zst+6*piAOL{R!
zIT{e$eV7v}vHK)hra#(hC)i=z6dql=XilRP!BixY@H0!APxR3(GfPT}5Wzs`9W|{C
zGAyNEg|Is7BU;dvt;vn3g+#VkuIZjk4aLeBhozqhPe}+V=9uWFCq5rXkV;rUSn-Ft
zgc~?7vJF=U3^%OP5n<}Oz~*I_TWv2b*|i!jNiPTxJo5m1vLsNh|0jZAy`vo;lOy^R
zn4`l_RFaTLiFfTY`xg_sSr|39UX<6xn09GQ%XEzfX?Ho<=l!M2Td{R#-s~-UkVtkR
zkQ70*WXTwiqCl96EAGT-L<@?N@kKZLzdxP!pG}2l$k1LVI?OanItz1uh
zd<4PT%OXU`-?OlmTQYb}_{tU@vpgJr^z3gn`L^)O`apV@Kl^WNM>?alCfZ{>ULuDP
zBomYucDv^g%fgjUye7@_L&=ppzV;8CuXY8*n4vMc|!vffeu^dU1M@^el0_k=S%lq(|5k6GrWH?)@h@QGC)zjZ}tFqrW&
zjUI#6{OymVtHE*vlM?^wVjn@*B*9PE)47hWS{@g6|M~fQB1MXC%e64)2NUrc+m;0^
zbh%;dRO7I_B@Px|>)Z}|p-M=EIG}U74T^|0Z{~stsHuy$haNU&C2zdn)7qC$v8~Bb
zY*3p~mUa3>3<`qFi6_&vE12ESpOd?2ts?@R<907cDuZW3;Db
zbav@~yps@5o2`BP;1e<9m8-uWAz#!^{0yYMR3L0N)1$c`s$+Wnmc>(H1w@Prt>y_T
z8rEmpRXU}EJDgPF|043iuik$oXvMxho5R<^s_{bZ!>Um9IFd(b@e)e~
zt9DMPxHg)L%UdXO!DRQ*quAS396CZq#qGZ8zq&Ky3{Klkb@+B3_8nJ;^|aPgl=~K=
z94b0~Zy?3At1a6&K)9@(8ObAnMOWnw3tYL&e$IHRds!^oO!m8y*&S`LicXCikDoL;
zss^1*4v!*XdB#a$a9kJk`;(wf%cagV9{S6d#5aG%gJDP<5=CWo>3iAoP_b-Z+hj%_
zodMmt$u*?qUvhz~?XxDy>ex$D*>knuR+IE-TC8+Q*|)o>M|_hyQ^(#+P>D0=e7tN*
z(gABn5glA#bsXOKRd+Yoq-nWg|dK#2U7o9zNDU{WT<+v(K
z!)D1K9a8iN*1)eD2$7Ip=`0e)$~S%2FW+qXnBj4a5uSZ|)yqoO3vERs4t2I(zH*>x
zK?Q>6j&O>v;`9;5
z;c~E@1Ny5Jb2ye>MYoF4+9Ja=|A?5CfUthmpvRin+^@3cuI!o1=_xZ8RiuPZ_ckVy
z*YdO3u7#V)*XCAFm!4wJZ~4Vr!j?1{{KI%Jr-qElUEs5+>o|2NG#jK>xh$%)Mf`Y7
zo-Q%<-@!y}XNN?gqO;M%5^`dQU@n+nn9#8*u25}&Vkvl(U*y^1-OSAM;S
zxgq_w=B)DR&wDkSCE7k2g~W*cX@mfA1C^rOb%EDJ=Sy!7DfRW$Xx3FLq4bHB`B`m?
zKbqJ5=NePidH-fSqG2TEDiKLqnOV(0-1y~J$+^!|;`@6{uxN-^=etOd^p8TSV96kE
zj<1ed4Z3|T@8)?*;c@qB3(3;Q8bRcpm+0^iM$$A>4
zu=(i+unFeTLkiy7zR$!B%$y~<=w<2A1X=UFja;`GBP3gH_2{|C~cRzzE{5*S8>5ZGK`W_yFLrA3BaS?557Tl5
zG~B=25y8e=!LBDxBoP0o@H>rOkKs)1htpSEudh{(_Xy1Qjmi@Ktr(4ked-}|smhlV
zk`4ux4~s&~FgRvZS(YBgV%crO!JQEJl+aWZrz@FyR`W^=>$s6zl^VEWuZP+{ed}Gj
z{as99s4pp9=Y-(Bhb8PcN0ip9KWFbZsS$Ua8L@muTev9sSCa4JPe(W6Y($I|mFCyI
zXIk#gwGrrK%%`ibmWTR1Yg3Q;7Z90H{0Jn98sB?wA0L-chZr#8pzd(fX^Tt86aQm2HZwwW_*}4C7k;
zy7Q4qkB`jPNIq0B$P9dw{MMCEjYmnJbhX6Q&Fbmt)rxZ;|I}r%Q%$^M6
zgzdcGw-0BKXmr2)bsb$a$;59Es|%?nQyqWvz)N@HX8!t&;G*W2cvLmO=-f6f{G{e9
zb5)m3t3i(|K4CC|ggU|UwUn+YQT%n^$d2E!QLb}Rjr`PeI%aaPV}5KSky*zJ3%YbV
z0_KbxO~-hdx3v{}sY44d@mcWF<`R#o&hp!?2r7aO(&dZUOS~p>3TtIsUh7tHumY
za}_FcilwdqYjiv*J`VE-y}B81^h0DmVJf*
zS4SG+FG=4!>K-oF#^});Xw$pB%|!Vq?Tqv%1lj+$czz^K6UhCN@!7N~`o1%bCI#PH
zW~C(#0%Vw#;1uFWpX-TxnS`Y9l;N_8&L1_?xK%rRZn4DS#EbX5xz$VvP8_vq@N#|z
z?vgmFmej=CL81AIyfk;=e&UhU_tVDo=`#hp^c`;E2=WVWGl8Cod_kARMGjz5#2YcA
zAn@%4s+CAn6*As{ll`^TsbhKk1;9lt0i+0a6JLXf9VLnwbb{T@eM*Qwr8oU7;B^-w9!{u&kC-S8p~@UT~W9FRIzsJTQr^&V@f
z)3OxR4FXU&2jkQS+as@!Tc8F>PTkHO&vn@!!J)CM286)Mq&113}dIrgtB)a}motl}5i}
zEzqG#>L8HY#=9A~_ozaN+a*IU4x{Q;0hAT`=L2#W`INcpzkDG*g?_;rqmQ6l1^jKC
zn_LIO^$M8Dh>Tg6oxb@@5x5@i62}oMY1GJ&B|eJYSH*{ZX(Pp`U9{!&X3N}psQ!!-
zMxK<4*!(Clij>IQ0K+%(TQ?p5O#q1W&Gw^%v?JWL`R!AD4V7BYm7PS3kx3jWlWt+F
z&_?vy7KfB3SIC^ISrzJ3X)XbJl^mYac!C_G%
zUn8W5Q4{R1H1eFgbfboz-5M4WjEc%N&@Bqd#A)xvv8$`AqGE&OjLWP<=u=kWv)klC
zkBrG=Vtw~E1qf1#wsp@1oi+lmMrQkVp>^n-nVbFK#BX^7=c0xof;%y4Jan3-*L&6$
zUxuy)qVj;`Q9+}R?DSyL;@yN)=IIdFTd2&8XUB`|8tzIkhE`Ebd{pa!uf%ERLc$j-M5CNk6;y#xiYfck4P`t$0lgP;hZ=OLR^
zh%*@%Od<|4RKnjd2ikkEfe*wOkp^v}td@e9lJKLKv8*7qfvtP^ky?QLW%!~if=&yv
z0c&z0B3AsM##6BJV?O;;q%gQ=X8&r6976Q)4c$RuLyvu^kV$9!C9OiI<%-B|5&{eb
zIk|jrPH&n@tkl4pI~bXoID*3q47?^#$triObZG1?LPX^1zlyE2YSO6k
z1J`8uA{gMHw@~+M6^2ei?qKaGa+u(yPKH4;97Uo52OsE)
zoXqg>tk20atD)QlVsASfmk_G>InVL8tf6!3^%6L%CGT!+a7m48x1rk<1gAsU?0yxg
zcN=-yeIE^AmCm?rUwpmxt_I3snDLR=cutpfd7M8hcVi7UMYMm7CJfJ%+TU46GH>d)
zXJgdde`?r668^q?+i;ZT=)L@5sN<_2*~H0^`Z4DkW;ZK1kVWu<^uq-lC5uE7^b#QQyv4)0}n3hztlK?0cZq7iW&?f)H
z1FsVC^ihFl$sIv1A`$ag5wJuMk)a(DcPw&P=4{=QX#IV$-PO-#gt*_o@1VV+H*kCe
z$Fk6p`e~h~afVY4P##BLsavMhc5kx{99QF1Q41%+VAtmQ6CX-s_yT#e!+jz;(S$##
zJyF$mdu`5R;R{K=c|9GPWwm|e`|Cu9@J5T(m#SW}LGst;J-SQtY`ZT=E>scr<(S|6
zj;rM-Hy2=(T>5#|V}E;Se$(mkICnnw*j`@j&#%~qw{fOTgXXND_(vKnxc$Uj
zzcMRL^;nJoJFN>CXNjM0hI5^ytmh{uesU%KR<^A1R$KVp$OJh#IcMOIh!*Znsrqs$
zlmLTt6<8?Racc6$&(%3m3uA&j@1+;kOdJP
z_Nf@pzsVv$sJthy2FGvDR~m!&*N07o>KdtYg+|_wHrI=ch4;iOUTepH^bl%WizQY!_^<=d^b#-Kbojb!V7l
zb@&O@bdB_0HcHbjS{#eJ-m=%Z7o7UFF8adxd|OVa-
zmApM8YkP+ztBHT1AmZyT26fL=**F}Of1V|$7)RhZ?Qybf3tZe%Be~H
z)X|o2-=6M`O7C4Qb)9QV(N0ac{YBBfY*B6i1Y1AfCR8WWDBY|kU<&v<&rpuHF0-Z(
zQztZ89geb6MpuK>T6Uo5UI{w~$0ac_{nagbHd(S@D%i{g@2b)`PrK!QWmU+D2e?fx
zM#*||?#TON?4J4sFq^^lrE>*StV{~}1^3=p
z!0AJiV6LP+`~Z?ZT{^Uzfma-m5cB!*vLZ7aP}l7eb9FVR14V&Sv;)6GedsaiMLqYV`D1!HRkVuDj9KA(p|H@`+L4cCx$
z5}cG}_I36`poq)UHv(BYVpRyhN;s(+_0ij!F95u|QTPbI$E`S@(Z
zHL_dV01w*P(r3*sK4v$nssoT7QoqPC4kfo*jn##c9(n?6tOeD#
z4!+y{9&nPJGZ2(gDxoW8hn{?S)nC#50PO;hUt?H2XD<$TEjI?(ON)pk!5Lp^BQ6Qn
zT(QmFp|fHXZ!AczxqkhmB1d-1lY5*8B9gsQQmX>6^&&=Gjm$@|Er07$ol>+%8!DP^
zF1x&F@R5GL*13pLE0#Hh8>XoM79
zDwWU(=YG4w;x#faIHu1EwiA!>_m(TushJ)*V+QWEG0e-K+e3{yqR#utsXRVgdPRM6
z-={1qRGNN{#^5*ANuT<(j|l{4RTN=oJwkBmVY-gVsBVN{=~zmCDNjp8201o<+To{D
zadKFoe&x^4GrxQ^9U>F#%U5;0;jp)kFy7lMwW>aCo!gnu+pFZ;%3ivCA`9r$v}UW-
zk^f`ic#XK_oy!NEP06PvM8})HHkf>612@oFg2T5PwcvY2tO&32=0ET^nK7=Ad)t@2}QQbyTQ9b+Lg6H{BS
zWo$Z}(KQnw{!$Nh=o>d}k)brBgtgEVEcXqgYJ~5V~`1AUPu2
zc_;aZx!jWAg=T-ccPDtyuS)Cj7D;3*$m~{rLa<%JrNrdv&Gs)er$#MOTs{_thD9Ju
zop88$oEjWDDH#t3$t6u+e0fdQc(YEID;53q3lm9FCGJ0g@)yAgq(sl95;3
z1}B_~VTx3qt0iS91NIOf2i;FvL*PC-)ReCoM@@K{ol2BSbc%V^TT`e{d<>b6M7Cw_xe?gP~)@J?u
z{CqbUS&22Qz6OC(TS=&C_44HrUV|dFiCEu?LG=BA)#=U{{~>;I@10TBZZvs8Gs~yj
zp^2+1)t}&`pU;6Ok{P(DqNj^v^)c%C^&+3t^#E-rT_tw5ar3aT%sPJc74MPc`JJT4
zl20j(6w2SFGw!{k$qiGPQ?XrWdq^!uj4Tjh-U^QWR?2U&sNk=mQVBDN*u9AD(_ad0
z&q*T;*4dB@P*Ja-kchMd!$pAn>UUFhI770aDOhWZa5jAN>zUH-!kIHIp@1O+kpujO
zjuW`)#3KPxVi~jdJ@2I7QM_qCX)X!=$T5390%kCF0#%83&CJZ|?h0fK`f_Je_w^JH
z@~MPL;h0F$?^#(T4SuM&%kV?bKHxhAvmS;h?{ORJz!L55j5_zp$oXZty@l=0Cj)hl
zk2u*B@(KA5TrWCT%cZ#4ejVPsqdN*QQk_gBg|;p4rlY3Dya16_Fkw3CEXr)M{*~K5
ze7Ph+^>eLXNIf!iD|jqTQ&Z=W0te#ERY-U$@lm7KzCQ6y43hK=eZbvuWc_1KjrO>0$l|
zHxYeNg&?l~Tz=t?t4Y#T7fg^AS=qR^qu7Ktm(Xixj$Jmb}jompCKMa@$X@qK_?EJ0mULT*SP&(wVeB
zv`Wi%N)*9|+S=Yer?BZ|l&n?Po=J^}p_=p6n1CgDFSa3T}JW7f~(v6UoP}D=d*zgfU1;hnI`#hXxX*-0l
zmC~n7nSk*#?d^0e+dOX(Jmot4o#0E89L92G#fOM<0HG|}-Mv-g@7*f^^}RjD|4xD<
zZP4kgz+>}S26L0OYz2@lM*nr
zxQ=pU9)cIj#f9gWJr5T&7#)r*rbBva#JQ@>^L!g=l{)q{G#m89_Bx)v{ser9xmVHP
zVxzc1eGledMo;jMR}{G%WOXO&ONE%g8p=R>j=v0j;)aNmMSQk`{+0{)rAP@g>iPo^
z{F01wh0FFhu;og|`w|s19wa6MuA3`o%N#O%PZB%fASa7CVvRLwHoh
zK#usWq(x85S7`;V2%k-rds0PBd8d1EX6nKe#v1W@M7)3
zNgO7hFGA?E_f&U-EuWucZr%d?)|nMnA%3o2gX`e)GWTpi*UC%YBOb!g=9XZQFaLBN
zApPApSQ^Fx`e}v)A;=ez?`r`fhaY!z4W2Fh|2@y57$k_@^>y?xjVPi6OENT`9Zu|>TZ!h
zi2#}vC3zi}CF|K)GP};a-}p3lI#yt`vboFqHry104w4i=L>H#R==g=-%r#Czy28hex8dL()
z`00Y5bTG{e{zXDyfH?+J95ez#2%A803kh|bD85L}De?2N2@E4b$KodnXm8Ic_x=Eq-awv2r`NogQU8L%=M>5A
z=J`QI0BRq!<0dE#ZXi94s;ZoieNcQRrLO%0M3H|s*K~T?Yn9uc`76baAS``=^$lIM
zI)SgQ3uN^xrHLRd`zx`v`ghyEo4t6ZR$f~(?`}Tq!~t@f$A>Og2=@#hcSSy+v9VW-
z`!Uaf3K6hl`m3-8yy-y*a$&bn@rWayrTCuq`Q;PQ%I9&vY9IgDuPHaI0lmBbpEhDV
zuddyVGw;j%VZ;Wj8~&in=kl=SU+M~*x{c*;HyS^OdLKRm9QmML2&ErY%Ims$^G+}b
z8de1lky@v_SwjkPs1PV!1le8g?iZgZQNl3Np#6&Na({j(PgK9EjzMGo_8Ff*+2FfG
z6vUo{K2(IjEq#g#EGk}4>9XDf4V6~%?4Nah;HdFD(G>%sIfO?x3$J5u!qnPM2963`
z-BWIOte{ywkuP@+@Oej7P9jvBZ{s0hnmnwwi9CdGT$Tz$lzk@`WMs(pL@o$6d^?H^
zXF%Ko9D@u?y)g1>G#m(94-(!&prbc3n+2*&k@=^`-Yp=x+*MbD-Tr&HAKUm-5HBGZ
z_bgP!Dp(W9Zg(3H(toF!rkVsgDwjq1ks3g_{B${P+mm?!7%HVwaIpW}RKy&m4z3I4
zu2zhq)meLJ1oVdJEkpeWQ^_E0&n~DQ-Gh~L&VrAqafb{UM>QFCjn9)D!e}J4jFenQ
zg^4MjR_j@2e^Q=$7m!*h0l6
zmqi87K10n0@w4%;`2yjYJ9YM`;Ju`YUoSkGUS>4`+0pPt`Y@(S6lR-v7SW0Q>8SQP
zV@lmM5BJOJN=`z7Jr%@!cH)w3hDRc{F1+A!%fXp8X`Hg)k~n$_))VgazxG%%D~v7n
zV!pZO!&7RjM+NVm&v_fpjUfD}CXF)tu2n@0Isw2mG(;(a?;(ocW5?0GWMVQIF;E*M
zkRv`?mIKiRV^-gR1nmkbh>4v8xfw+l595EgDodyShuw1+>4Ofc0Pl6;%PD7JJCW4D>X_M8*xECjcd$!iN+h
zGieCWXwVw0P>PRmz7&GnL>~c!8F%HNdoW6P{Z8=_je+1cdybGJQ7~Ri*U&JX3~HHR
z1tDDX1fB!xIY{Nf<*NHQ83Z}`LE+jJt!wyr#eZ(akKzJ7^sxbr7#)QVP}0SD*wE2M
zW99alj=w%9;)U}gSRlP(_An1Df$=WA-U0D{ePWP27LH8g1y)`Y*zstgW<_esudrVp
zOe2^C*hA1Lm}QitfQDCuu=tqd4yqi`t%||~V+C#Xg^&2A6XKixpUe0FQWa1}p?nxB
z1e7^~?4Sd&4Er~e8oEv6r?#Q|V5l%-mLCp+AuKSgRqt^_gh(GFuSt@{#JIN)RUB`R
zcMJqN#}?(m8!!qKM|&;;a?^s~XW@UY`QWlL4(0;fq<|Y2PC7!!WXY^vMq=S42c>CKF)<7{vPO5$IFA!K{xU>
zD8uC-K!#R{^}bR`g5+_dow|KsJR{17mzAr7`B6I{!cE0tqH8v
zBx;yT1ldC+a2AGm8ZR)|N@#c$Fd}g(_*J_BoPvYPT9J2eg`xE#!-S|R*L()I9LEkgVs>GeUgN
z(jTF`B9{Nn^{eh=3}9SB=TRNxi5LGHV0xt6g6I?kprPKHvp^dF_#f#3kx?VTtC21l
zw8_ve7re0IR?#N9piNW^AxrUv@^-#^kt4HHJ(sYgevgg37OzVJV&nnGHoI&r+(APc
z2E`h>M(&@xGL17GMI`2TA^D1yG=PEm5VB&1&j2fw>@3y0G+yeq`u)|<#eWVGE3`rC
z5iSK3{L26|B~j&tD#AFYH^pgq;ksnBqglYPklMfj<98CehAFU#74jSer<@(xeM
zLLW!nca&~d(pI4?H}Hy86TklTEJMGH};ig+~t1`{J=Yuwf6dG~sA7;F6ByqP4C
z-gv||WxO|LocC~XWNHT7{U(WJB^17ib=pS}_~BvP-e&B+-m^QC&raC4xK%7Oqww<<
zyyDM4v4Mt~wjlpS5*lqnUx1~3{hetyr(a#5b5@^Q!7GobyiDXa1Y?=SU9GC0Q3(3T4=%^7TeT-B)A~L{
zqZ?=++UM?~;jrnQS1sT&AA;==t!2$Laks8sG1@d+WE8?aP8YZhrG$k3Y>jRwa}z>3
z927`Y2oB>jmKqhS&shPK+922YMU2;vLOq7Ux=Fy~N-QWJQew)Ld+PW7Q(i1oBR
zp^{2E;ZUY7DJdDiLfr@&3dC>*tg0RDh)9+77QDD`TKT9=-zON!PmlgN>a|qrPg5iXUZMfFLs~QVtn4P}DKOSA@;FH^&^E
zO&l3tnPbx;fMvn)01EEzOh|VRxD82q8;V7D@%b#0?T*k_wvb3IU?641Zs(hRha3YlGukJ<6+j!CbBvw!zkXNBK@{;ZN
zy~>!{yKKt&_GrKtU+D+?5(NlrzgLn&kBxU}mRz4iV}=)sh6&)scKaW5nH5_$<;&6Y
z9dNc|M}NP#w?%%KqevPW4qyM}6bP}Kgnoz0f!6MDmBhr`eHLUy1nv8?Nwi0`OEdbx
z;=*Yz$Q_a4Fp+v@ugUu@nQr{y=6Z!r9A=*RHW~%v)=6to^;x1;00!jm>gS35=`jyS
zjzBopQ1EL|TMYn^;YJ?Gds~_N9$O_ai>T6p_!62=#bwBQed_kmR##LF`JpGYh2EKC
z5M$_CuUMCqTi
zA0R3j%=xPEVkExpr;1v~8=JFuBT66GEWflo97cs2tPgS2J0G3I1>*xOp(jAg+zh|a
z2^vpGOe_ULl1-u(rlzJp7VR%8YZeZAq@qWk+JGY3f^geZpSQTShmS>Otd@T?eXX3Q
z`pr3Om0pTh7QO~^#36W_IsaDJ*rq;*6<_CIY=fI#uFtb5XW66URlJ6bh+f#G@(V3M
zmY6Wu2Sp|Wvs#$vz3rN=muu0qibf^atUFV*Ne>NplcKo`c=d9wmAcKx_(Zv?sfGp(
z+%0c)E)N<`(vZ>Glce&Kr47VjU1e|-IL)JoOM>F>1}|3OPx&bZ`62buW$avix;GBV
zaHz&~oDG!txH{8q+xqc(ySVq*15rqbEDv(u3Hgd3Q11fSRho)n+Gp}1%bVoppOCFD
zR6h7%Gu>;>@cJnobYhWO)v>Hiun3HBhQ=D4GN)|aSmJ~J{VCgxRmxb89S
zRQ^aqJFPuYunT6n8)FY+^;I_|2J9o+8wyf_^_N#S#YnKOt^acjgqrgCYGfg!%y)g6AOX&vX=WzZ{Zv-z#_pmjdII6uBB?#aS
z?slUQ$&1am;&l_%owAYovD?Rf_KIR|bGH1pJT!ni`+peRNbRj~`N3#u1+hpp{fL234)x0;`oaeRqp!tUb!!xP9#lRWO*sXV#fvx^bM*`~hlS1i8`RHCN
zCblo{{Z746ZfAS0^Ksnfg-`zQ${9|ufzmXESSbI(^3C*+*kwO)B*nItNufT6QeOY}
zx`^2KpFdv=U7ch|uvVF;1hwrv-H{ww)4fF~Zd{u>bgrTEYux77Pm23k9Te!Qd~Q+?
z#;643cB`nEisn&`kj4Ku4K1zJ4x+k
zp9-fR|MgBJ`Ap`DD7Fjy6A`rv21CKUqR{6ot1<5jZ%@yd&%1u&wHy0&IH)dGcW?!;
z&%G!j8CThe-esKYVLQcf@hJQ&^mnpa_z
zq+AIimg?(Oh0Yy+$=I!3QmJFM{wFm0l?^_$;fP}DllaDOJrr
zy`~btS=q$x^DeKO^i7me*H0Hn1K0aVK7BvhXyVV7$_Sg+dvC+@G#Wxop=`=ZO6Q|h
zs5_7<9<&g6Gf(NfSV(xt^~7_Ft`|~Q+yys|iD_$a3*{_JW4qM$JTy3eWqFo|%rNa%
ze&|USaA_-+8*%#hm-U
zYF%>qxT*4QS~ku7vahJ0*cL5Z_H6lkI(i_sb~7N=**m|#N78l8Tt%wTGrB$Sj`1hn
z@=mG0@mGcC8K2r8X*8Uam^E|ipYecO}Q(cRr>!ZBv*Tn|keCh=R
z0MDtWe8*0sbPw~;u0nXs9uoSrvnIA%ch9pTktk#{ZrS8}7#rO7{=tFMgF5i23w{rX
zi!zCEDaT|Ip=bDlE@u;>d}3PwRQ~thfz|`&=N8B|ei+%oJ9TCnWW!9decoiuv_sUu
zDKtU-P%+v}YeWo_X^yA?ixK}5yt(-rg&ZN)m-P~l7c`S{>T%;ep&9~it`DFY+|m!qF`
zUqYg>-2w+UK3d}gpP~!pgLVKNwWo^G1XMg4lRRh)-k*i*FmCx!*=6uoaqViohjHzw
zzlc^%QKk+ElofnDXz4%x>c2}ka4*q^4{nE+P70NY613Dl^e4m?!*HIcyA5v;5VTky
zF2Fbw7}ewb;HpCh`~3+RQ2Yp>{wqumj1aaDedxfG_Wpbn4G@gOtlh&A9F|G^?Lr~L
zfzIJH>In~?U}9SGJZv|=*6+|=8^Qqr(bYKz-~RdEh)lJS`xxzjYrkD^{LKr+*U&6w
z6U#4v7#h3TVCg*DbMbvbGMJQGk|z->PPC(_QQG?H25hstETl*gB$l*=TyDYf-(S;j
zOE4jhHNY)$Mtx%fOyzR|gcsPWFqSa9lqfua{&K7JEdTh{LdF;Tapj{u`HI|I()hcE&Ye~HW0%`czD}=Y
zC(bS~uw=BfY|mXTWtfpWs?^@bsBJ-St|is_kng^WVfQWeDV=5Gai?IKyL4FR`sv9@6PQ-L8V+{$
zC9%rV(hrdI(oJzYBjZ9zNr~0Hdw+me0;e^IYBm)=Ts)(!th}?c+^nUevjiL?0f#{e
zL{U*ODI+5xGc&NFLdwS0HutZnkkGX=K?n|d$$PutD5<%_kM+?&>0l*xcd$X0Jm?j^
zbA&1eDY5V8D_{5_pm0T9UW%kU;7KrzmI|hwm-{5;a*tVHHY9MB+MX3Ga2SeNFP>2A}utD75P77&1b{P-c__Sc}v6+BTw6QE7HSBAuoto%6P;J7l`8YSIo
zC6rp8t)!tw6Wn~o=e}C-SkdWM>H!6cQq;l3f24vM#Q`rIKr5I8^z-?0r1$JX`FO
zoe>-xaS-t-+Gs7V@4Cj`#8o%>%HOT7x3y_>Wf+nfFqI#&a&VaVPH!9~(1_ZdQ4;O~
zf{kYeY8e?APO$`94yqpj(U2=_@iEr35nqYhJo$&7
zgy`aH8l@S3^#IY(=v6T^P=M#IBjo~*2_K&D`ZlPB*2JG%_PHq9nw
zH`li4*t`{*mn)A`fVp!XeEe^w*_?B2pR}kXSJbY|b0ime0eul*AwOWDE`Sf3<2G+3
zCN7>S_R5YYgoem(-07|F$#?O%`}F*@(UtpqCyL(D{1E`@FnJJEbyq+^
zW-buu8dRu(uRgIk5gYs9@6uSkD5Pv|Y;3&Om&fU}17<4n3w(Ek=XL=(*4StBoSH{>Gw)D4YruNUx6wRqQh!A+gI+oVpCmTA#yiv
zJgWURY_nXKd2V0|QY;A}fNjdG=`(<<4GKy6&6_vKT`{#O-iUL_N42%JJ32ctEdv9F
z3odWWgDp}{1T`yYwA=zY*2^-%AXl$m)s%a7A$*Y0v^Mx0@qifsiHMM}FkyICgZz9-
zNZ8+#t7~flQc^MRFW)y8S12)pCCkTOoU0u7--_ep<7-Yc3^IyeQM9wOtNQczvY))0
z2M}u+PMr8uT>Sp}YdUl9?;_PmV7G6|d=6u@hNEX8iE$
z@22+#%QhqJKDM4mp@y}~v#^y2_U?;A^#surezLC})~*^@uQmE0)?yh2lS5-Q?bqYD
zJG;6bz$+DyWnI?RmK#8O9>bD%mu$NhIy6<4Jqusd)1NfRGP%-3No}B?M2pMGX`>8@
z_tiEsY68r`+RpBCdb97Z%2$~4q
k;y-Cr>HWVi?AJb`ilZD>|K6>M8dM6`Rjy^onmqph0N@E{?EnA(

literal 0
HcmV?d00001

diff --git a/dev/articles/a0_tidysdm_overview_files/figure-html/training_cv-1.png b/dev/articles/a0_tidysdm_overview_files/figure-html/training_cv-1.png
index 1391feef3daad9891a1152d0f605acfe6837e454..62aaf524de98b03a6e134f0b1c893908f84ca051 100644
GIT binary patch
literal 94499
zcmce8bySq!_w|63bV+wB-3=;3mxR>NDP7W~BHbWeN_R?kgTzR8cQbVJK779Md*lCi
z)|xeo$$Rf}VxN8XA>@OSGzKaODhLF^kd*bKvW=E@H=()w1Y*DAG*^<%Qwe9$CGoDcY(dF
zc)IUGb6jK85kjiyg|qM>F)SWR#t~8`ulo{A=riy(u^3^LQv=
m9184Wt*wsN(jsfG!F2JIMH^6yx~3-k$7>%4hrbU?`&V}Sc5R+l
znr@sdhNV6@^>{e{z7<+9MsT_f`>ffR%Yy%XGktgs!u|K_mJX<2{_{LZ8a&m%pN>Jw
z2g&^V`J9gbe{WwhC;S-`5fNcjx)^QE%g-MtLkCJqOQS>ihS6~3DbEnc!^>+FK0D#0
zWo>=y#%yJ4OHU96#~~)BgfE$@OH;@gx&C)_6z;N4|O-=2(
zwQYbt)-%g1y5yr!IzzhBi|AqV*YR?xx>-HMCPlaV0wap^d=R2Q1!ZNtK%?Q2hLa~1
zuw5Rg;GMvTb$UasRr`ks<4T!A^`ad~n_M4jm3_iLr9@1u_m3onm?6Qz!6l}v)yk}y
zH$@mW3Aau0TGk<1pJpv4axbB_gfS7hz!$N2zx(t%gR}-!@C`=v6t_%cB}(+kTDvfXgssI;aH
zcYCYK>NY!n$z6Uts|*gdNej4I@tg+~EFR70?7|;v}}FC36($>jEDRP9ZDeTMWb1Jw+0DhRGRJ>NTlLU2WUxD><>HqT@ey
zQp9U80hqh@q(NQE&w{asNpIal$1orL!|CAmwYEBbyW-7lc^}TbZPRzh%1QA?<#$J3?U)MnU!Z)bldG&irf?5QcdVGP0&~Xo53nPaN*Fse2Tf|8|
zvJlK4(DWne96F5VUee=++$_gDL*aq@JY2u~bL>Lh^;=xJsi);`vTPqk4=_6DpIf1{@m?g2I$s
zgd1Q4ZdT128XBi!H4q(5gc9&INnT&aPS^_*D4a}7fgcQ(Y5C7f>1x^XR*DxuXx@wY*TQJV
zcJM)yf~6panx9lEz(${6O9ukE1K7iXvo0If=w|KMmU)F1Ll>Fm15R%j%Pa>pyR^Lg
zj0Ku>|9rd`*F%3D`9~X%*
z@`#usal=GX6mYY8_Kg$gd*jzQ*tgm75WZ5Bk;o7Qo{8diaV+3|{avHsQWE*yNWkw&
z``WR^QO~V9jH&>}HmUM&6G$&MN117F2W8$ZY}bNcD3VB{*JGRrRv$QC878gLwe{HB
z$~1t%d}Gq$w<;9gCmq9Vfx+tU0H1j_ESItrYQuo{Uq1^C+do~}mupt$MAnzdTU#@O
zT94y~%{6@@M-4-toOhIWucQUiW?atTX1}b24Awun6ZV;Cy6fFiwN)Q#o;ysw)zQ&8
zX`W5|5fT!@%89?ee4pyqRcX@aewMo2JS!Q43gqJ$AV>F`SO1eM
zAgCbaEtm6&+c97}q8T
zp;srhc}>NQk-@?JsuS*sI)H=5NacVEMuuAiEX61bHCW-PzDTDWuXp6pe)cRSgJy20
zh|BQ}ag&eyJ&uB};GP<;Ot=Hgt9r|6aEePa3STNLSVlC}i~JvNm62%Q(<&u7aUkepM{0Lc~(4*EA6d
za39Ev%@H|bNGG{u6q1N2550dpFUI|mjJAWW%<+?a-gV}^CdD7J9?m`Ync(vZ78;s}
zx1zua!~o7=GFbv*aLT@LZ=Zd2Y^2$2@p$&q;@i`JU+ImD>AngPD^0586=h)nsaI^F
zeuxb1CGS%=u{jD6
zpM%#J%7jCr&IeK800FoZS-8qp^V5^gI#&qr_lWn;R>`FZuh;h+E#5`A6&5-XA9pef
z&`Km3L3v@oS261Gs5=n_~p1KT{{Zxr1~d$5*UK35S!~VYbp>9;ypa
z?EmZuNNE$DrMRGEj&?5?;zDtvgSpcOwiheCc=gHXt49ylZVQN!O#}3$;z%eN9;m{f
zF}Q|jO!sQi%fg0#W7Df9#TYeL=ZD<7V)L5ul{NzxTmBzs|IaxFKxjarG{#V|2(KG>
zB{u1ag>YM|UPI1Y+@&23rNZy9!5_z74%PAyx1n?VaP)UX@14=E9~Jv%w9r$y1sYiF
zo?g*lAmYW4sCDUCy#q1?NwNl9u}K}cOD_j$fjQ9uxol;_BG|LehuDHGW<^=K7Is+
z)u@u5dxX{q9pJIa8_vQiwjvvCf5CgcIx@`mxH~mO;
zB@V)BZ@eNHZ2Ias?b428R|xT4W#z0IR1xqay`9owyOBs^)u$(X^@&RslfkWmeMvJD
z>wPXRgRtm4H$4I5l!G)%f@n=4!lV;>--_*LXzo~&7CMCG{rFgrc3b#`h)iyRm<%{a
z4zM5A0>FM~f&7%ub1!dYW(4BFRXDAwJa(#b&wx<{+4~sxW-r=qMQ-SeEx3eJl>5ZV
zHw!VGaH<6BSvpymw7XD;R`?R@2H?NiKT1!(_pq^X#r#PxFw0W=T4H9g>1zN`UKKtU
zOO~cUj{WhRW3{dgolANCP@?;!6P^+FOG|nh+nO$z%f&zgPI=32OwbYW?#++cM@fsb
zv6*7J8!41l{A&iGDtJgMJyaPp^{2cb(y&#sR&pop&eeBG5P085P#Cu$98zbQU1uwK
zs-_l><)67Hux4+xZIq9!aSh2^|rztEm%9-%rrDE|0Ed_(SYgK0BF)lDwbv+)?Mo!
z@{p??TDq=HrEm}DJczhbt%YNcXM?G(o|@y=S#`Af&(vZrguDzlXtiv69q*9G7@{-(
z@{)4lJ1!rnufyj|V#bS-Zmu%5pwQB_^AP;4qBwEod!Z4L7BFKn
z#EKzf?M+QhMERzH6n#GlB8mEA(CWxyeRfxpEnt!SiRQy7hw1kmy=cm0774gC>Ulox+oT*7(qLCd>$9E@l2qrdHLiSd{257w~Ap+409pnQo){SMsFJCN#Z95{D8Jjy9vgW8F
zv;YQ0{@s-Pk_#_J(QW;NT$EOpmnXSCnCA@uiR9ounA{fc<_l<&{Oq&NW_Nus?MCXl
z)FS+aA!x9-U7nw@r75)BkhecPNjojz{rhfFmpR<2${}W#Lpf?%sGwhE)3
zwk8qFjjW4%FdQ!qGGcWs%^)suKb!9mgv{A+a4%d6#u@47IBNfRKP@UVvDA>!^Ng8)
zd;P7tNV<
zJd2Wv(|@!$hI>x2O*(ke_0jBYTT}g}&U`PY&raB9KQo|*h~D8JP0D{@!FF-MyEvp;
zs7?Pg?^=PgR8!oYdGner+z{$$G;npMC7sy^$$rWQ>3Ia|2!C-
zTDs-Cp)V9AEP|r)d0ftD%CW+hTtE#^z$DwtFL|MgD#^Roo`f4)-dhWK5(#(DkHmD#*pS(h)!U
z%lnN(Yx>pPNFtIupI@N$CMU<=^%`e`TkIfQ;fufQszDRZ5?1e^Q#4}*KAGt_(^ZxbUW;|cIFe;rJk>dbL>06wB!O1!I)j_v03J7$NAyC+_tc+U`UEV
zlMbQ0|2@?e{C4PzA+Y3JGdi#)kNO*?mdeOswv1qzt`E^nG!cODrKfmts%HCG2Un!A
zWBfIspza*ot#yD{@rTgAPwNrrT?J4kkN`JTErTTn$lD{Z$P>_Vtfij<&2OI7KcZ6)T?;w=(|
zWhHr=oEfXq2Zj@4aN+0SFxYsqnh39R3XWfFliFQ5ntQBLTBH_QJ}RLH!xOG}
zKl%3I@YQ59dNGWD9D1_M@R)Iy3+LL~IFmUOX-x)C%7q{9EaDgGg#ULVr=H)ZVrx1x
zB=r8`d|V`6xW_$-z6!^Ze_*wn4Oq1&CY|fVeF_ats_ZjHeGU^c%wKHDm50-|n6sBx
z6=0|tj+Pf(^#TeA+HCPi#4twU^S9kU39@yEMu(8ZFwK`J9XiIn
zKy33DR=c~_y7IE-;*m7Un&`CJQ<uEvI6@o%l>J5qIwg@FI8~K!3A@5sVREoH`C*CIo0oNG
zAI?To^whwn)&G?I040f8INHh!Bs3AuNB*=o`lia>r0M#D*1{&yQK8N1%|mYanVWBo
zk<0BHTe8kBd*^P3YO!Gc2WTRR;)A??WG1XWFt#Ik$~D{JtBI1Y`Hgg>!^_o_S9`D0
z9tVMN04_Z&4|qFe?4&)U5Lw|y`q(k24A!p_OB|E{YjGWowS)l?h%gB7uw5qQ;(7J6
zD)qJ5dt#(NCZD}*fodGB#%mZ@-E%dr3gf!U!JOEbYsI);>#uY7+@c3X=3%jEz5L5{
zpzOru_w~t`wy}lJPWiBKz(sQEJ%APvCu#qoarUA~4k2C3O5%OFV^pI0cNeSB;xVOI
zpyE$s#yFW)Q$91imFdC4d5O2KHTZ(e+5>dAS7aEENejW4q%REkIGOGK?R1}l&YX5(
z6sOtx0Svo7@c3h9LnAvgALMuLdmyCnsEZER>NM^BYQ6wl8JYSf_sV(Rub
zla5?dDmCedLyd@PHE5@=Ar3fe8oD(Z<136Sb_wMY^6C0C=8H4JIPndc(_RyR!-;#w
zmjDB`7ajPeRPnnROHvm8&2O(^9#&Y{t(+1e8vt?=)19+t71v3EiXTyESLuL_6_r<0
zbU^PLUV#P}f_3I!x9u7=JF~B2o}2ukuSj5`pxpxy$O@m0{C=aZ@Oqw%;7hq{ExQbJ
zpNty(PTZGx*=ETZ@Ap|NsAFpC1qLa$i4sxd4XydjF3|!siB9`w372b4Ulfen<}FjM
zdf$+Ab~-<#4h
zWRvwKz0yRH1J)1&HH|KQ1JY5}QB<<}mEskvn0s>ENca@lD*F{*Nr+FV1R--;U39WCR_}ZDJTyK6@rt|8dKWDPwCoW+`J)i>ED<-^HPI_
z8Y_;r*qB>$1=s-GD#3mexit;DAJSGLV2gEFc0i{f
z!#6VWr8Nw#%rD6WGC|XwwOZ1pt+^?)Rⅆ6CHb{f2nu&8qZu}9tg3#XvImZR5506
z3Fa2#6Yn1AH3lmVBOqhp9hG*7uucJBc|8*Sy%-jNW5=X^`ylhRI({{2;jOx4tUc4Z
zn@2$rgfz?jksS(pJHCp}trGHV0d$B;tesE%}L}Xt?
zgsds7q5@ov$e0u5q5MKv(J0|D-8x+|rt|N{WXY(?DXv!=GZ_at(0R`*0h|~sCK>z~
zseb|)^4~oX;WI8qRKors$s@VrrpFc=lbv%N2hL{I=064s_tDwA{sOOtn$8lonr>!?
z5kxhI7PF9A=T(OHA1V;!ExnLW;}mNKI=W*hX>I{^LfW_nG)y
zF3Blm24>-ijLdOEi~#A2YQJH}J$vO3AYXhrc4=WB0
z4Fm*0vIw_lz<<`8C(PIIqq;4>Z49QA*GUH5gr0T|38pOKbFQmYi3JpNAGx#Jk1X`C
z|88x_n{E~NAr&7^-*WN@7FOHU^g__HXG)^lq!WmpQ+zW1)Bq3WpYlyeT>A#zZ(J>pC
zl-tCmdS#uI_drp#&8
zH!qMP*3O*ki}c_K@@(eAq<3Ay-?7UJPhI2p^b0vwc=*9s%}9im|I+5|LN@>n&mt41
zVKQ5-DFI#1NA`^oUgOBgBf}0w4lxfQhiCGmLEq7T^Z_hyJ!4Cz-^}GyiarEv%KhI=
zYKbzlhkl0#gqUIGl8y0$yyOs6;O|$6Z+nRz9s7iXQ;C+LVtqfwN0NV1TGOg3#V%G-
z0FHiIoF1jY`=tDdwp9!!+M4N;QM_qXWduhU^fwTwme%`b}>U!_ZSh
zdMfl5lVB>%XBNe%Uz)k|0c&i>3a-6yT-4DRpi>cy;1>FJHTJUeh{C4E`QSUXQeiMJ
zCST2GtddgI#3CGS3IKc9+!h=i~@UJuk>_^{2eo-VRlO0VCCMA;@*;5Me^O<58
zNi!autk{$%#~5`UWhlP3&P^LNQV>&~ss0@NY2A^muR}q3_|o%_y4dGl1TmnrO43aL
zDk_5F3BC*}E4$tSrFFg5V86b_;ya2whLCh&e`4a!YcT<&R6ClP%CMg@bSQofS}#_d2A6>U
z>zkgTrRupV;
z*P>pXVy$dLA6LoSH#4m3(w*=%V@LAZt4Hrs*&~HR$OV}Mgc{@|9ps35GrKC!A0S>{
znQX4$i)3N?X%P8s9!FD-AalvNnF%Kfyh3GtBj}S8yc&yP+`zt<{9-}jOKy>1ZcYtY
z0~|mp2B*7YT3ErWy)ia%RKV{z!8W(Scl#7Q_F(@7u?trFUN80nkDCIEe|fNL_-bwb
zOM4)lqHY9`x3r#9uZrdHln~F=dw>Fr_n>nA-m1lzDBty+<&m58Wj;sy*KSPL-X{Lq
zFJbNsPh9>T0zQ?I`<O{4@sl8ddG+=-&jQ_lYvc5JKQB``6K{H$R%xxzZ%Rd)FGC+a(tF-p>m4=(NF%}lz
zq7qP_58NXr<*IK^p~fyLo+)Es;7$6P*PLT#DZ#4yla6jfA<&V0g;W2A;B`)bEwb&8k(A_
z3y7LiI&eVc{JlhCb2n^%rnZxl69o-O+Uuw(Fk3M!uecWCmY~u?l$#Dt)8>SPU)qth
z4nhYLV=Z#fMGaB1OZ{G
zGJ&b3`}=M$cFk|2ynF|wyI-L%OC-Tlah^b-t7ZKWX!5NB;EY=bu0#kh;ishsG2d9R
z0cEHBdR+>d-_>|b%gJ+n!Vn5mh|PubQ%T~Hmarw`J2sYBPnX%v9@8#(R=X57w~M$6
z4Lp!pwul9)W)kLEPMW|SuFrYd>NbJPXPjEM6-DLMp^abyZQeorFo7PL)kwRnR`QPq
z*4bb^Q3S8cRYb9o6KoY{G`jKX2UdBrv;+L9Fq{h;T7l1|liPJ=^7U@w48jq@d~y?$
z&f~go^P>CkPruLKqPQLx?=+h;Aa8Q<#UvTj`i|~1#tLj2DX?A5P4B@0#0W|FKdd4^
zj#<>cFOTrtBnhfBJ=$VTZi3lADZ?#24N*0hTW
z3&Z;fIk)U4j9&?f!|2n$ao+b_<0-jLe;{xC5c;P;eT(U;kgoR&l$h#$DpSl!j?
zS+~CI$iEsXL}IrgaP77vQSZ#J^aNbl^Mk)d>L~>lq^q@ugO^p>G5c%c*9`qU>-w$N
zR#BOq_fCgK)})W*Zg>}$AHDw+yq3TZTUAgtvYn6JCVw}xX2ojx2axd9KWPY!dGe2kBx&%DDy0vZ3dPw`|*A^+BUmp~eottdh~l2ZI(x!C2&7EuJqeY!KAm7@2TpU1D~odudFDndyP4k5+1C
zJ>347$gFWqsh4+fY
zHqwL&N-Oy0!DC_f8QKm&{!4+BkwyZ|bfB?5TEL$i%#(%j@(Tk4!*z|p9dAhuAisLt
zP<}KWUGL=BINu!?xtLHR6ZcK~`V~$Dy59cvg~<6|36cAguI_0Lgbg%vct}Y
zqAgYbVN)$7QAQ1i9UCCUK^>uv1c>O@Hg=UK;>`rA4PRTH%Jv?`GU8ipmYxM`oBR
z@u0((3U3I^HJ6=4ZQe*uj0OM{Kvu$=z_!U?MSh$k(GNX5EBqYK4S=K&$AwX91)|~0
zQ;(XAB&wwJW+4j3y+hgp|C=Q6##FXc(?sZAEO2ZtSYJwNypNnSX;I(}`8Krwbbc}a
zMX2xo_4zLTxGugW{@C{7>_d3he%1Emqm(WrX<$GZC3efi%E~%Tju*Ikf6;c`
z!+v^M*XA?&c0k8#u@W-SN%1y<02E&eC6sRM0s7A`Up9y~1m$qwJ>ktn7e8`9x1fg7
zteLZy0JVRyt6dr29nt4CzckbYS#JNp@lK3oY|CuN2{L`pp(+bHciKe-SVBEJ(xq65
zEp&kWk-C=!>bF86&|GL5jB`!-3B~QRd##(I8eZ>3#k(&9n-0#}3e?KG5%yhn#whB{
zDqf6_qj#&_&H{0G_0zYN8OY_Ae7}cTzqk1OIPy8EF)Zkiu*AV>;Qa?!|2~5Ii{*Rr
zLMcOJ;BM(k?C~D@!UQ_Vd3ii@FxBmIIv-pC{c~G
zV-Hc*`&Lq0lo_n5K95TGukC?kvPZ2)UKinmOYW4Ka$RY!byp#A;%k|oAMP0vTunTB
z&7@1vjF~ARg>ocEc)kg-7n*4%OlE8N*<5(&8<)nJo8>cWb*_%uy|@@vA1yiCMPw`xhyX$>_#<
z^S+68w8#0Tnv6XyA3I*AbbX^QqAa%YhZCN=00J{Q$Ej_w#lj5*B%+`WpRewNnCH_$k+Cl^nOiO6Uz)Z=QV(S(2F74=KLQJH
zbhV*2Au?zW!#J3n{Q9anvY^yNZ;%QQEK)p|7EDtYhhtE`$Fpu@PO(Q=RQXMBvJBmp
zL?$3j*}oKh0NCKm8Ix(f^=;pyZTF*wZ35e9GBNKYz|#D`8};+I!XkL%t+RReuq#jo
z-*QOF)Z5tOAqR!WF_4aM;40V|z9dzq$G8%O>FX?@n{=EXoG!}~VdVi_@qwaEv4z
zUs=e*klEGZ9dixT$lQXJg`4;>!@2sTs>~7RX{xmsew7i`3&6e}*qF=|RGT6hVwGJ>(W5$d=V)Bf1@1|-mK2T^Muo)E#
z{+uyD=i$znk)Byyknt)DS9we6B);XrLiu#vH?2MrF;*bauDkx1
z)H*Xgb09%BsV4|mn~L<+%=X3T=HydOQ)*#sqbY}X!9J1yBT!SabKnuo66{l1u3aO9
zBaVk($B`)=u2o*vjqdT;s>7!B@T2_qjo~Sq7WVw#aWuWrTALz^`~-CJtMgZN#5d09
zzJcZ!-v4&ye>`egDe-Bga{EkV;f)VUwQOkMkL3g>o2RMbxOt;nm)^AgFNqHeXj|^?x*Y@G(H;m
z!PX?j9(I-6rkD|C8k`xQop`Y2YRPLHCLKw(ikEqf@N{bMIC!(ZeARjd%eZQ`nB8yQ
z7Cl}KVa!;8EZ-8eoy)g@y}a&<{@hHcDZ^6RZc^oso{rqwO4@b02HJ+iaEQ1wzpZ4v*w8`f#mRn46fA!9
z*rAoDJ^qw~et(@f5zs{W>`I7CJ!0DrEVPW!FKIcqC@8p+sP57Sy%lU&IH2n$*CW;K
z9NyM%k~`==12cpjnD>pWZS+q5Amqx<)lm{m
zlJHCpgL$#O=zH$cw_ddz!v>UnW2dI}ygn_|Bix;waIm+WWQ3|_;OH+7!
zhrt{HrQ915SAwX%o0&ebUdqQ+%F|7DKaa_;@ihrf4b2w^8^TM4ObTm8I>E4-%n*{giA;YZ@n;X#g-D5oNakn)HJ
zjHj&QE`bS)Y*V0L<-JRCQy>#I-`%l+$;HCGoDkfP^p7mAAP+A3`0jq`_<_Rf@?cf(
z*i&qfQG7bNgYX+0LQf&#{5{v9xCo&1{G3GyFiD-!pqBR!&@(p}(Mv?Xk_oC2|<{?uae@aBUG$L|+v|}dG{vg-p
z;$IqgKO*w~3m{XF-YSd05P(UCXB1gH8!_gh=XyBT)Al(1l=7S{(gd9Y88f|OgD8FL
z&9|SP;Zxhw)l-J}ZMOIt5JYWy47`?ou3&_IFhcnwN>WnV#6hF*Zm3|S)#ua&>{&QTO1*!@Hu)g3g4zH34oBx7fBT#G)?N!k&lbp7?}|BEjx@j
z2wwD*u$}6%@&qjwWo>DM+PgEu@Sv;V5r(0XX->rZjX
zIpIez___O=1DqdJ^ok7B_PF2XJKoyR;NjFj7A1N~1oAsU_G@2i@nROL;|v5MX3Krh
z(+TDEEYw${8icY^YVX5ra66XhzE_xE@3e_psBXKRpiLB8GS$h^eFs
z)9gjA6^n>6uLd3oYfb5-?V3ON(-*AY;zL>-lAmaWOiJk#N{YA!hDltwU>Am|5T=$J
zqcoTbfU3g{dVBG}>3TprwN3+?DL88xZqV5qH|YDs7t>D6ZsOFyt2g3$f$eeyXdROV
z9Bm+dihTgS*6O3)JIK&`Rf74-=4IxW8B{!rzLWkrk(-M8cl3~^ekpIWb77#B8y2>@
zbp9?45iJG@7Oi;?=gaj#qpW*p{iw3_OOd5?LfHB+B_ja*7VfWkW2IvC$#KNI{r!Ef
zB^bQnxzF|TT&~T1^3k|#x@tRe{iIOYC)DrG{)sh8{PDU9PuTuXyN_N8@V
z<2!;d$&woUupWB*oXMgdK>{R+^xEvKzn_>f%!-kLW*qz8PSI0HMrjW*dB<}BYX!fK
zTs>Iic7=T~8>Og0;7gjM7Yo%jaI-6t@BLC!?Kj=uw(U|a8Wo7-7+8kGYgSQ?iROIj
zQL>MFVUz8B?&3oFr>2n@x0^}IEG0eHEB;kBmm^+wZluPd@W*ykG(6?
zZRlhazmZKzNx7bzZmr#OhFEWJBR1}rH5IX~s{;51?)LUpz;O*h{JI0n%J)%6>k!pY
zK0rEG^`$jygV|ENf#R6{AjtA)E^HX~n?xQF%#0`#_FxM}{bKh{1$;l@2nd}x$JLTf
zi(910f_4B+OfK5>mDt;vYTF*Q**x^_^(0-_*;^AidK;G3bB@YM{I=KJ!eqxi+m2F!
z90Blox=7RXRE}3~Lkls>kJMj+<2{u+!9dpA_>6%>6Nn
zh5rdrJ~$7nFK-U#7L}bC6BAaBw_XjTx7^uPck*=bVLER^uX&?rW$HX`
z6VZ7eAayad&pK|bprcs>L~;cD!=n>$u04AeT=#{a0*%!f$RWPpj(#Va{>e1r(weV$
zhZ9pXw+EHBeraPhyPl`<#%J8M!4|apIYmohTq>BwtPB2UJWygxw>`SFK3
z;XUj8t;D3EX-!9sVGnm#&X4yuE`m=wlWN&51Yf0D8>6SzBuh0!Qw?u2WGBDNPCkb3
z7qSh^398{e^K}Y}xGwfxo@kyk4HUJdXpPp?BE2tpGyk2uve#
z&Y@VZsJXMPQS0~0nVQrSi94S
z=pp9anOVcb4$8M6$~}=
z6;|-co+!3kCFUuCxtAgRy)#^JA2c-yfsh~|elwu#e!H9B;IIl0Oeq{4*Gw(MTZ?>QAGt1|Br;LH&fjzxa&*75I^q3l@q84>+tHPAOpH{Jj
z`y3tg>KHm=Z4{NBUZv?K6y$E+o>;)8j;w4r)#I%TjH`iJ2TQ<+0H1s9wixDhD*#Y-
zj0~J*VWddd2;gB>aEs4%xz~#cDv_3tHeoI&yGsUJZQ(wNglL3G=*}CR@Q!%vGEV$g
zxmd74AY4xgr92@UDrY4UK52;TPu~!C?GM76hhI
zaWSlZRl0TKn5%z6qbknF0-9@Z-o7Ujlb>z%5kB^Ny7PFtTW(`ByFSksAI=wl*fon1
z{JirwbaR1)R1l#grbILP_f#7&({$Fe4!faFL}MkS`q*f1H?On(Ikv{JdOS%rrXbgB
z*FQWt9idUZTS2)K6%PAty%)QR8`enf*-VG8&9Apak~5zJKlQQQ`yjtttk5i-w_aBh
zJ>D)7?_};N24rg~i#&jAZI+@O8q$BPyxdy`#!}wa&+4+)=4mH6?+Xd8XKhIZTKC|u
z45#=p`>ceuC9ZeIcL_~)&dz5-es0Xgd41QatH4ZEO05DGm3DIAp-q`io8iUXzZ+VE%S{1T
z>EBE$e7v)7U0qMVmgSa3-I
zplNq1#(=Z_Z0*AtWz)@l!+kGsMMF3!0rV{ai`N|YjjR!St6btU5LBSW!neH7hytI*
zRJ2E4Su;}*)DYj9l`B?uUf)wzIXRB}fZG_82SRfK1e7yY=bpoml1F1DVpXv6Yoobr`d1T>`37
z(L;T#&xK7xJ1`Xo^@|F4Z#28agK7=Vp#WMVw7^(~v)t6Sc+?|SMvCC@v0ON$kIw&5|soG^7g0dR?m=NwWPY
zkHM1vU2h5SK8__<7@zrSY+Z43;cTR^ev%qkC!i{7I4ji5lPJ;~$@9)L7ZR41mYy-o
z4L^^ITs#jwjACf7mV5E^NyK!=RAebd~ufB?0e8r2}|0)jU4byQjC0&2vN^=Bw=AO1uR@T$L3DRgR$lj>Elyoz5&YMeRJ-|>ez
z>NWGXMEun4)!*;CH0YpHt1foFF|#3B`Fypq;EFs#?xyLJuKq^yP0cxWwcJMlGF~_W
z#dq9*y7#@+Woh3wvu$E;?MzEntgZD;^O(;hS>4=RE{(xf___;Z@l&Az(R
z7RzdbK}oRHJK)fhy;fDO#v$|EH;D~fQPs>#UV7KnAEKsv0Z~H3Dd^#mNqBv6`fxcE
z?yrcdR)22j
znG6GIw#9&xOYNLb{6YEU%%o1ej-i^`c;i!~hEAJ?klpH|7K@ZndLA$ZHe3EtqRO|_
z6~!*M%e8osVP9U{0>_dE(7W|7yvWuMx3him$kf0D^{ul9qT8?G!Duuz-LpP?kSz{m
zZE;)_nM3$;1qkI?*r^Ie5FLyC?hRAP<1zMoe!x|*UNFbYoxxo=bA%H)9n<#Ve>S{qn;x_ZN(bQV&8u81!QZ*D
z(Bg*_IcUw;WqeoZDDQu?0GG0d3q(@tTy2xa^Tms`2~g`w``jqz8;^ncTe$w@;MH7`QsbN
zAUJ8$+ar2Dw#nW8F4b{(*ja_?!w(&8MLj3vGF-1m3jsWnBqka;Iu0VBuQ{?IFfu{6
z;KII|;j^!2gM$YvU*HmE@96H3yMBgg%CS!O;_ynCg44B=^cv}>GuFFj?#NqASx
zhTYQqEdzzja_x>FK4?J7*-0CqF}ui#X{;>i<@mpHYJsddd*F|DIMRe7fqyn&wLfz}
z6DE_c`hV;MsflG`wdMpeFV=6MDB7cJp#(HC@#ca}Sw3TXNqX`Ox|lvH#H&*h452Fq8X~*&>WJwjr`3
z^5nyH*0Nkwca(jswwKVzS`%%GHfu;ct8cndfkcXQkQ4!ju}|)0QK4P#Z(<&t^fj1T
zL~9+z6$5Sm3$aaP0OAyfFdvcpRt5cjRb=b&UiQ&`sb~3+_hnRF@yA6yw-)=B>0`Xn
z(U0-k$xz6Jy17`}m0${RosfX*ttdwDhAcvcmGAh2etGh
zXLdEXBF3fnfQ;TK{uS5C_@VWtOD8R6KS?*zVg6Lq%jQjlurQ!63WxdF__HCh(bVKh
zHL3s8_97M4<3|Aoi8cY^8Ioh6x10?^L6M-zk6OEqpnu
z>WSc-*@Xs?=!x7OiS~&XGJFzn*!8s2Ft)U=Uii3On?}qsC=3bnOs0~DzfFpP86dC3I^l!Oo3I|2G5;d^iDVb;T
zfwZM(j%wnQz2dYyp11uY3oz^v$!imK>0n?ip3FORR!t__{>2MMX6_kUQH_?6Vgab<
z7e#??kN_dHb7XOU9}yo3FrO7Yp{V3ke-6+zy+YpqV(KdcstmTS5s;9SmhSFuL{dON
zLg3Kd(p}OZB_f@Y(hbtxB_SatUDDm(9KH9x-yeR!;XL!q?3vlI*4juHfBFCvJ8iRn
zc?ObsN77_39qN$Zi|l#pKi@hANgH_G37D7rLO=K9BqgmB{|*C?(qBDMwr2Q+<;Qu=
z?8kRYNcDizz#h}_$rals!ueEk^ZC-`MSDJ(G^C0(m;!+Iq7T=~e++d?XKNbUo0)(8
z6zXpDCX`S7<$BX&n3oHZx#u&YsDx0iYntX`jJ+=$+!isg$
zALh|+&Ffprx1DN4hKDdch@=y{`k>5@4=wXokE^-{YJT6bc*xwm{PTy&+x*~-w7hCF
zOJ!!*>2#)L!Mt?&Oh@>g>BIb)+jqXo#QRFyJwac9wTeZWW1zq@ym>?}t=k4QP$>^K>+TW`VFbg)|$lI5zGs!3Yg?OIktzrpXC50n*D)cqN
z64E6yk+Bi#I*1WP`RfNSqNTx08mcpj`IhrMFkHT`Pla5VE9_{
zc`0??joLdw_at^gD$h-7GgpLXPl>H52x(?pN&F7Q@8I0Ztp!dhSX2)d<1#~W-w|*H
z6Z7Ix*$kG(FcbK>T#W`En
zmDxcFXF_#3B|9h$<1DDv#a%MNN7BYKE$i`kWp+)+`(5+Y_*9S;S_2Bf(2$q@H`QxMhg4
zN&I?aRBFnYW;~d=V&IJ^HUX3$!pqta!*^9(uA45!3uV{OUJnoBES;^7xS`q#hwqbQ
zIdALT?c+X62mE0ztBN5r=mr1x0TxJ_*5HCy8^d;PuoX`9i65Wf2GbVFk(&;WsCs$i
zKP+_Rf98`anh2Z42oM>+4Le)K7f{R{XnQ&M-XWkgdLFqQc9{uU=?;EW20jJl$lrqy
z8@eV@CDYg(q+~muk#6;5Yv&6d(sICaFx9RJ%{lhTUF;5tDZQ!T=~O^m@mbb*=>FyM
zhL#0XF$)mD7Tk>kn*jPHXcyBz_gs!N=PN&ws-71jq@4M`1ul?e%3qBR+R@!6*;2qQ
zSNlx354FE3gG8&hK7dDG0A}x72Wx!p4Rw4rqT%!Bmad-f{`1oR`TftVM(BitOx$O+
zOv&72sNe~TM0-iCmB~Opi*WNd*1w`e3V%1`-?6wBQj0Xp=0R~fQ&hS!xu2mY7#CC@
z2hhuC3Pk~Wuvj@zmskEj|Kg$u2*$M_j2;2P1kfQs9YpY)A}1?@|9qZF^Lt-m2Wu)&
zS&>W$*Vu#Y9|Z3pr{crtw7F$prqeqx`jWs1`*pz5lg;t01*&9@Cflndh397&2Hs?LSA<|#*18KJ
zlUC=iC3jOdVLr=^-@gH`3*6WO3ImnbrNl4|_+x9s!v~dtojmlqnSeKm
z3-$lZz5=uy%fXXegan&+OnkF%3Z2&i)k&9#F*;#XPm1;F0T2Dzn+2x$Ttd7&xhzcEO$~v?na&sD}z#EdY~q=r<_GkIRftabX7Qc#=`hL)gOz2
zZ>Txu<~H0I9O+GzI0|qP^
zD0T}avS6S%q1Gw4uRG30D+cI#Ap_8)3n;;wVE?nA|Gq!^2T9)IcsTM82DhwXk}Fqx
zNjt9Un6}QV*%Y
zKn1W3@=AqZs_+h{9Ds}i@O0RNg@Y(~u{z%5BaLO|Isc*PRFJ`y*L_+h|6>wS#HW_^
zwS?;5J@XX0XP~oZY^4Lfq+ZdZAR1fX8sT6a9#miJSOQ(p@-;h6%pJ;g0E|4?tr;7*
zvSv`V8%e9b(izYJlt7q11RKhJRsIcN43M5^hA0Zsn6)K>DjqShHpiC1tz*`VuH+%C
z{E1I23zZRZV;!|`1BNt^>kf4;lpA!=KeRpGw$a7Q*&aysvut(=Cw}ZwxT^kAqBI;n
zv1T?)vPWlBv2l>#{V-MC#9`S$u%Y{qjuqukyby|v
zt;J?H`F;Lqr&BvI)UN#f*CJe8fwc(=w5ogA+&sp^BjyCww(?3N%FK8>J3A|rnGepT
z5mmV+oP{sd*5BC?7)LXEXOlwbT%sLhD=qEpw!}cePr1^#j@jCwT)(5qofIfDh{Kdc
z?ElHGv1VKOebEScTU1?rYKDvq@4b_eU@lj2r@)hcpHt50~(q=?HpzUMN5J%Gvc{G_hm-XS2_Aj2!p
z>)PZ{3|y8w%R^?hwYATiI2Jw^sj>T4VGJdgaPOYEX|O7o(eSsC`6AKExJ
zHpV3;roV>ub5x$KrF;2qWO=HQfU-&){DQ#Ulu(cRTA&X^c8%el|ic
z_7J^RuKloB?Ws&M$}Q~Ntg-p0<8?L11}WXk5_
z(H6C3`O^Xd#^@hAb&FUJ%+p&goSRBcW%lut!4&9yZgvhJgtU@D1NY=ly8k?LNw-{|
zmM_NZfEz5M;WEs$_Eb|Rfemx?{(c`xOSIbo_rvJor*HS}>*w$d8OGo-Q$zN307R0B=k*!$dWs*L&y1K^eP=@opL#tT{
zTWp-T!&qEzU1e?sQWj*UB&~FXV}+o1!Cz$^ARch<7*f8dNy6k}eN~;bWf;c*objc8
zm%GK=y1GyGT6V@F3k|8i@3f$rFJ}43TqO0RV{C@K(#TxtUoJ>t>Q5vhO)Q^kQ&&96
zs6H86;9_+$lH-RblV_lo8H+w(CSo#G`
z!I}i#n|7l~TO6_*-(ej*ptFLF5OfS*SBzL}sL$iT-i=^O>fAf^MEa)^?F~M$$M=%7LP!xd7X{wt0YklJ?q~;jj1IytjvhpX
zO1$y3vg+pau_ZAbM`9Ou?5e&AGfrFXG;SfR<>^SQ9@<8OnWpT&M&QDmuIy);iZ#&B
zRd8a__~Xco7>6e|YS&nwKQM1cIoq?k#d8HyEcM;MlE=#ZZ*H{5KEA1{1^nrXLvq^8
zJ`xg|KYtosUR=F;!X=FuB~xN@5Z0U3Uc9ZGK4%7%@h!j(s)-HzF*t|zAWPiB!WX4I3f8F*i*6gM%KC}M88YlJGf9QUA31_l(`1KGdy^VVS9gD
z(@kU2F%@P0aX>pqHm~@r)OY(EbjwN(hGV-3Z+3Nlyv4N%MUkW&tKoUyc+{TCd$UH(BeVK9A*r
zJ|Hx8)6p;}Jyukw`i#8-$gF@FhdbWi6AcC2m^_v#2I$%JS9yqV53Q4+(|;caq0Tq}
zMwQtpXS^|uSj$C@@eM`?W!3X^JtB;PgB4H9fa+i-;xM~5W6Es@zmx&;p}>JAU`cjS
za*S2n#*rC$lDQN>HB1$-ZH_f(N+TM46LMf=i=@E3P45+sx;a$3r{ixap0r#$fpm*3
zKZo}o7wIr3*}4Gn@`%{}4aF~B_P=U86VBxz^aCUhpmUO>mI7QbZk{4Zlbi{~fXBSc
z%p;%@>cQidz~Ps&qk=c{-MP{7K#BBspCH+qg^_+~1S9Oi3&ve7IZ47;uv&S&jcO^o
zU(_N%G-V^%D}O3>=^J+1V@*7!Ya*CN^|3EwmRu(8mbdofSLn(3w?ZW!172_o)
zy!-(l7gv|qt@-1h=<=B8=#wZr??5~6H6kd@;|{?0h0FGqDl-pny@80}`Uu~$iM{AF`!
zuHxLlUoTDF{Q_p0(0ZSxrAP{7X+Z`mun6(x^38O;`&ty=)sIlo?#%nSOqQlhju06#
zpD%r+UXcK1F*!c&zs8RfA=P@jczDt<<`cb@>6amP6)5&QhwOfvWmy{lk!K!n^sys)
zuD+7pQ0V!btN+Cy_OSWJwzjs?jH%P(Tn)9|$!B=(7Jh8o9GQ4#P`iPuPj&NaC~1d5
zffey9Ml?z|^-=>DPRxP~e?{qZj}AUCq<`!A&yc?D62F|YNifgw2YY;jL%F2iw4jYGnOuaaMQ-Zosl>{)VHODIcgCKX(4+&CIgl8hcl%|XVr}&1fFSY
zYNR7QucutRuVynS{`{egl&*{pjFLtcYDD59`M#FpUfvc^IF8v7r3`kFYC6zPeU}Zj
zZts+{4*_}DJUfLg0!_(rnkEre#hB!4&@9wORJ5n
zepjJ>?lM_w)`YO{h(H2u^bF@aDQ_~wkt|g<0KX$SqZ3tseiiF|8sQ$;W>!$&LvsC{
zI`Rh)3_Tu;J;+3p2=xYHh-$_fXYf0~ejpKY{Ul5Me(s_J!}k-L&yIYWum_ek3l$ZW
z@aZtu9iTj|SM^2ot?|*NKMZQLs>E`>`$)J~3y?YnCk>AM)dA$O-Rq}7AVpiPY6N;v
z{CmY5<+qZAy6Uw453BfXvZ9$=(C9=eS_7Ej!j>pvJHSXi?ndv2qLZwykv;Nf-v2ST
zyGXi*+Bc%;kw0$Ctv`nM2R6U!At;n;gNp1LDLp-Xk8!3@wcu(5xbdd-k0)%8oUyV&
z?5LH~My0wJYdupHMbDQJiHsKGo!+kTVTGWbT>WjJ`
z04kZgv?yvKGp1Ih1<_IjW9@;~VS}v3u^eW1_YWfC|fVL3|e%7bkrCr+Vmpj3lKs
z=|deqDnuBbnJ{X#@qopDeAVZiT~&ZL1BNZ&*yr6%VM-RfUQm`^LLi0&@OB-_bUM?M
zS^XGd+tF=uYOKk+jjS;~JbT(aNq1C+W_Th{fww1B0Zt7>^yg`l*EhU8SZoG5?(=8I|HxTud5L$f}lT1Lh{ilOJ!j}#z9b!oJHsC?L
zGrH^-E*?2*IC%f1Jd~tY8SIncQPLd*AYEf-c2tIL_$uNw<5FDEXU&xPxB?47QvaHD
zG@im9_2D!VdF{cLpSG>c|dvavM
zu^S@1+1wKPCi<=_%lho6sAMHg)c<>F=M-DOoSh7@!5u*_%Vy*GSDHW_-UA?dVXp4B
z#Ktm2ybfmFDDFHi=FB~gIuNg~Gas*uE+8ITLdye(ccX_#cc)`c*C!i7w8?skoXIAK
zOD#k1$;im)G`Cb%qSrp%(3hP47Yi_8Vy}z;VQy{?7cOTcL?)umZ6$55k{=VoNDVo#
zj%d^4i~Q<*MquWP?sg@(bfj)W>3>eS@zT_nG*uSs0z*a6(`JYCm3DuNV35~6WBw<)
z?L9=i^L~2~8*_X!&u4(~>2$}ly~k#!y=s1drrZ011cBL5zf+mla1xB)rd`LH6zOAS_J80+hTa42vzsn
zrmzfmlC42g1<_DsIC~LjUe;EKou4;N!PD`W&N{VZss+eC;ksK}8@+E
zSV$DiD0YS)OCP}Mr}}2NF$S6vjmAj&@Rb1jGzTo$;j
z&E{+q+4MJ|becjnt2xt|(%QR%$Foc*pX~c#>+MzjsM{QUja>jI0$YxFh%fgHOLbLaa;~pEI@wJe9ZwRR%A6_mSWTC0KGa+-q}D=S)=aa9Yeug6
zEQdDiv4ezRz9xC3WTmc1(0LVMLM=Ed_N-uPdS5a}GvHNDP9`n2((J`2XZBs?
zoivLvrSswisvy(xDFJuUNDn9&LoCx2`FymmP7}Uk=kQH*oKL`)Z;qaT@&pU(M(N*c
z5Aucy{^d|GH_9V8pn>Je<-J3*m&|=o1K3^_JXY8tT~xeKF_{?BjYPle#CqmCE&3TK
z{@E802V$3RTbAdmPFdBXgEPn9jaI6L>v3D7MHji`u=lFvjyB^WxELYUmkKBsnT_Sr
z1h0H7j$iZ^>4m`~LLf-6ED;KEWTPB%YzZISYCh&GN%fS{Wr~hNb8?pY^=^S}E&sb-
z%5R9JcZ3`*<-~W$*Gg8{;!s}e>-r;`))YahplzGpP{d)iNi~adN0MBIf{ZnhT?)G!$
z7n~&x(GF?j648tm<9%6=8C)(69E~wj9D`0DOZnXfi&IWDs976jbEG-nj+`v8D%2b1
zyj2j5i7L03U|UC;w6sYLAyZfBkE)m{(>X*%Knbe5z^>pssRac&6Dr2%j7tx_<}{tD
zo>j4y#0kGzlTRc1Pj+cxAU3t+UmKiH#JKGHA6+y+DUo{TC
z^6ImQ_wXNPP!UifGvrjSoT2)$r4rQL`2QhXT9OVE82d&O+xzco=v7JMZYv
zgIbK=w1ny2a1*v%E7WGN7wDDplniX00uu7@@bKr`2w9)`Dj18tXc9oiyXy(5*XV=-
zx<$_ml}f*lbp#?7>qW;iw^nk`bM9&9edf!Ob1Bs2e@8Ra-63JW!mPuOsEYk#E~=Ux
zeiZUY2QNRLJur}8=CJMhet%#7Y-#6!Hi?)@*o7F>3?>(SoU*Nn;FFRW`p2-*ZK!VA
zCEN$rSqvvtTE5ho5a`75f1Z^GbyN*UbAltmZ~?c`9yL^XAi_iZ`p;Txw?E+*70FzO
zpH5xcyk>bnOk4EzLGyvt<6o>uD)FS7)_@6IF|7g=#jkcHb0ND`h{{aX=cF&s^CzB2
z)4=AXK4!m7lktTi3YuN9o*hag_szLftb{2GeX$U7+AhI=A6T3);&YpW3Hg(UGCKg&
zZaWDP`yjFf971l`9_zYE9Z_sgmdD4%H8f^Eioc~1wd2;+6B3(xAdl-{w%cTLB(F>7
z<@0d51sDcr-!PJKQD1T&vU`^waI!OuKtyy<&VLX9bMCF9Ojzs^)R`*4?*NoC{cTQB
zgZf&&ZM2Bw+3@Q$YYp}u*j|WDBbujYWoYzEJF;;0<~eMJ%rQ0+`UcX?ak8NFCJy{D
zV^H`IhZ#^4kZrsr9i|QSU0m{MguFwENVs(`y=8HU9`U3+MW+pTk&)^X?-X2YfXX5K
zahi_W#Leb|%!G`4(Wx$|tA@!kX?okfuW8T1!b7A*d9=G&tF^HU2d74OYC{=C!^xCRf;dyKk&?7gW`eubXdPRS*
zgAK6d1a0sHHo}Vh73r%TO%$;@=LGR)A{g_PXFsxnJ!>-rO-otWxY`Ed7h&=X3hW-p
zB6{94OnNqYm2c?|0Jm0SH7%xKX><+F&U|o;b8Rfv72Da??cYK(v||AV_mCsr70p{0Uhdt`f9qYISS3XrkYYl6Hz>V3ZME!ldl7ss
z4uVLHyNB8!ewD{}dkhUrq)B^=W~F&*jL+ep7#kb^^h~Zoy&w4~O9d5gnbIt`i=FHP
zxxI~}tqbH>5{cPyf52=9bU?3TVc?m+6V3p|>4nKYP-m<>rsgH=BB%(4Js37s@FhJF
zxa*QxewH%*+NG#&cSm=k7FAo*y8R1?ED@#~blxxa>5k1n)R{uzQJieJvmqFLmTE*h
z$lrefKL7jayuZzeAjh{ew{10~_Xkpc+hTAMTeu)9f8E`lD`md
zfRMLs4@^Huf(v;)b8`&HDj<6=oD2D2^08tn1VrNN3zmS0*U7`Y(drzF1H)2a;R7lH
zMv6f-ueoj3e$_t#`Q}fb6zikHv~DK!272Y0@tQnZQZh5ktrmZ6vtxaD^%Z(0q(oOQ
z*~VXaSLW}i(+4oWrCT%nA$q%l8nB;(Dog`s8$o5rV
znPr1|LeJ=kksNSdgqar4L@)v{x#~}>v=6Si_$T8)%7?EjQ+pIY9MjdsIG^@-H1q2>
z;Mgc`gNRF+HhxyHR)f2fE06DrkoE$ryxMRoH
zBzu&&?K+cbw9@VVsA)@@5r5UHZJ>H
zjh*>?%Ec~rd8^^vz~5;X{UAVhng}WapY4qZP)`jrKt{cl&o4T2*C)Vh&8x`K_i02_
z4xtl_de8g9$N6zHMc|L25y&
zEA^Q(PBwaSr_xaWLkiSC?p-b9})fC)-PE(UW;>WFR
zjq8I21}w!dpjvaR;4vEe=~Ho@gWf>;<|E;~yeQWZHY)dPCGzL7=gP*qMI8{Yp;suN
zc?3X+kc=Od3*tvTKSP6(n1&Uen+Yb&4kU!S)Yf9#%s1RsQogmcn)f#w?PCVlH3fQieVl`xZlmx@H|TaUVtu-Gb+GW-H)~%MTJyVU#*dh}
zE;rU+1EU8QF%1!BN8Y6MR@oK0==8m)tMu)(%dnl9{))*176)Bt>-KM!^S%y4nOuBh
zG@vSVRlH+&sw$#nbK|n0*n$gmaQ?xM>mKSe@~ozm%l#e}F99Cym1qpGhakQXdd&z1
zyrH2k8RM(_K=^rAW-nsU1Ve#t+JS>R3j9Qdui>aIvgwzB9EOasBa+Q>vy-;oZKWEn!0Ll
zgD;{N!b|r$W~M{rc(KOo_0q8Z@5{b6#r|Kud{Wv*!XRK=`GlE(+EH-pd_)D
z!kMb|y3Hqag^3r;1{`t{c{cob&6PhCoGUbQdH%ES~<
zPJEnF#s>m6@!(L)4)I*87$*QG@O#;3tjOuAB-eTQQk*&3ZH0N*l%tx@(@HY?s^$Kw
z>0*^kv}$E7aQA1xgDf48Jmc|8+h>Z*PetAWFvOddkvD1Hv|`=4V)ErPm3N0@1fDIZ
zz*@~uG^TN2q#^-&Fk;4Wi#|xoXmr9!0!Y!Z_Q!@7Y#%42lv_Fd3+%@CJF*V~|KVev
z^Gp#jQv!VfpZ|@m^Z6RW)Z_L&Ur-6J9RhKeU
zv&zQ&GK4PiJ$Ht~wZZ1wGTc6a*tYIbS+@`PN;
zWT~=nh62=2?Ecr0<*gE0A%ZdLx)XePYmnOwwVo)V_y+*u<_vFh!g$aP9U7Y8YcL)N
zywjX9z8mPS)?wD$Qn3vB9=@tg#{MVl;>2M0z38v=r8isE@QcPHrc9JnIW^-hY2y|R!1mH!h6w1Ef5OAh*RqW#|;>x)oW@@oLnx&SKP
zo<~p%z;9t-*J!kcN{VnS-}Aa|WA(mbuOLCSW8o)-2Wg5VYYF>1o{usI<)&}zhg)ZP
zee>OjX!f{>hOynUsngx1##Rh~-uf-UX@LiooBzz_7zkj=cO~hAXaEvhk|YKo7raYu
zefZ7J1*33#M_7Pzi6&)YTU-hP!l4AM2zjum2kkf!_0udfG=C1dNLr(vc3?+a
z1A_+C_MbKPQ1<2w&EHAR56$82teD@5b{@v~rN;#iDIio2f7t|++GKnWo${Q;LsRmq
z2Hd_#4(d0iaLmsE1~jBmEpRvf-;zs8v@;IDKN(NdZ*TE@5h=mWj-=>ep(HCn>?l*#
zRm^4>XW2PA!qd4IDr`1QHKx$m%rq)ug$U|R(2TCnaH0R%jKfoi4-_UFPAS4*c5t7xk6}`{9
zC~biXfd2;rd`Qd3WrSa<8WltleUT~0aWAXK0gSPaVI8^dn@wpq2fACIo5Llo1|Bvb
zMXO5a7QHzKmEDmWy7W&)THnLBNzMoD%k+aAn8nSm1$+U^1KE2a+@XKO&TywL#6{Ph
zI8v8J88y%mgQDP?&Oc$~AD~XX@eq1&U}OnaftoX4!l3=88AmI|dy}4f8|DxOTn;BK
z8_EW$ym>-HFGSi{>a-yvqoJ|q#+y#Fb-Xq*TX+d&9JKA5M^>-lP!P&w{m>;L}>GL_5zhxw@rj!fi+af8<$H6&M*uh3~vxX@-n`SBcr|L
z@kzj|4ErlaMPV(yjUlHFww2*g!)F2k8KQER&1l3?&vfO+6RyOhAJPtoTLu6^#vnKK
zKvsx?0suHb1)qatI2Pp@7!MQ=yX)Knt*iZSvA^QBGqMpZM0?pHnOgyHc}!j-oIo|#
zEWlaX!8CPZ7D7%&GdhKwu;_$Pg1sC1RH#3`$wPAelka@!vjHFjh8LvmXcC=?`X4Ge
z7LMN{!ItcaQ;LH-x2K+jO2;VMhT-bCX;}BS^8=@oVa6Bit(V@2m))1YS;wnYmyAk#2y(#Y01(fA
zNQj`259)dq#`r5gq!b=tL4iaH1bf91v`@C5P-BI8pMk`zbl7A$}##ej9gI?!L6~PBVVCgs!Kmo9#DbZky
z)W&&3y%VA}aN})#!Bd7KBakxdCVy2;zR^ARe1FZ+A;@mTH)e5hgaoD#@l!tt;RseP
z=~_n%?@Va}wLtE~NVsu<7i_ho%8biOt_h7jqmMPHQ0xJ;X&Exlx1x3jdQz{XZ?*hX
zGeaW!Sqs?oNEHLr9lv?yF2y8g>+a+XYgZ#8_wGGiYhq=wsb(8
z>NOLzL-TuI5iK$M6Dm3l4U?DP+`bgB2K2DgKMoU3HIJxPJ$Y-sp{K%%jv&E1Z2NY=
zs(^JjUN#P;(%WOT9GvnQHE{;!xt9sn-sSV7pTv4o8&2f>d{BKgx
zo)lBgu!K^1VHgBt35Qp0m9jJ=cbyOmZ;cr_I&GM4M0ND8!MEIhK_~0UpJ&uJvv#1R
z1qn29x5JYrkLM*@E5J{i)3VXNWtq30Rvz0r8qMq>YC%7B>V75#lU6M8V{%eC?oEBe
z>ulOr6wGDcGwtBmKOL)RtAR?J8J#1(KysU;MVC+~8BC;M=uB6tZ^Gm?1-R}VsVnPw
zgG-H3E=75!@(9(+|HHlXl<~3FoY8eGOQQ*z*IK>y56pSWbZ2|0VH=~URS(a(DIaOh@CL;P>i09W?@~Ko;;V!y#a+G
z&YiJ|Js0N3kYJ88X~ASvGXYfs0OP8X;;vDaBvfB(Mq6IzhA(+=-%?EM%A9)<(E23c
z;JuAk2&nq8SD*=FY~83+vb8B6XsNx9hN~p#4Jk&?UZ~_|lsKhIycQ2D1w>z01Xa*H-{Jpl5&#IHnm!!<
zF>Vj2qh}@_NC|G{<_#4haAgrdA&?IBChzo{~9^G;(=rpp*j{Sg|
z^MC`56PWbYl#Tev4(`Mes22Y++x&U?q`KXU(ZyJRuevtAStgp99;Ox&f(IJRg2WOX
zcW!noKQ?yKb;AjJ9!)1%mN34uHUgJes1PscgaWjQvFqFn%<|d!LX;O917n0Zq?2~C
zYP=pfr4~97;{cA%8|_)}hK4#90-$jvr*|}Xdh89>y#}r{ev8tH+Ex>P%512)4sC#z
zS)hktGj~kx!A60X=nu{oKX5G+w%(810-rtdYSO+BW|^qOG?yFnq8jy|y(R*;9r0
z85JTD6;2o(2S2xbzPYwIR&ga6eHF&B4K}9$iHR?ANpo{W2?Z0By=z_Rhntmki0&e8
z(GGqHW8ZCJ&g`ihVv@8xl0w4zJr_up2No-Jb(r4RSMqlrSdi80=#*|aTH^E(9DLkg
zw>MHM{Ro+PZ})BQg*>A;)bD_XV}Q)+(tAEAF8`bDvejCPAYjcPVUMQf^#f>7XMuXS
zPV{~5MgJDZhbT#;TSVlGKRM1bB14Lpjd>zGc+qVMreSCs*HMJZ^)pMHB0dQ@pfLJ#
ziy$<{wJi}eRONHT2cz|Gl|_6j{IRavf;}o?C>BVAP2cOKscWEO#>%|~jDWvAUAj9*
zB%%s$FkPLE)*OaskxT>=7sm!RDk|MKG@fW1pmvNd1_jRBOP8$;kG`}(j$`O-^|dkD
z5Fo3o`I=!BD2v0zrHdYz;6=`eJM?58%Ly+$tY5oM%Iiw)G3HpmueEoelZG~sS=BHh
z?0A-RXXD^XQS{fnXq}9wmF`qy-hcf{XvZTXL!>0wtQ!OHjHM@O$tNm@hF+V|FT1X2
zhX0@%+KD|}=>BAh!Kaw5i#splsf&N2oFt10a$pWB)RrLU5_vj~
zR0po+ncY(`2eKagvtO@R(R+$-%_O)~fXDg2mCtgU+ykfdTkq}X;4}iKVsvtH=kfiC
z+`D7*Bq4vx^ctOSi}FxFBn8?)nTne06iEIO)X<&1_xz1RRE8
zF}EGy#FS}KIyPYr$vYLeyF5U_z|kBwF&8HL@%t|pfcN9Thy?X3ke_YyF<-p6(^8HIX>7B`Fw`bm+QH^u%SrmI
zv>mUZ%0%)#V)araGODLO7j$}6@d0OxKH;rhbB0h~m{^Z@QlEjW5OPLTYbRBq*LCg1
zx(_cu^}gVrky|tAA_fh6I39ctc%scNkH@?+vbuiC8UIv1^`xP6S!+`g8{2C*h38#g
z>Lwk|K5FUP%j&X)Qu10wZV~#h5Z&3;+q&|lrvJ~XB-&FF2S(QP8X^H#qZQ+r-%yF|
zp)UP*<4>_iS~58WiWsN;XQRX1@S@Zz@ILoJ>5D^br+TIo32agKxML%&gWtq@MlHl{
z7iwsWzO6;+!L0Sso8
zg>h6cP|6y3Npy}U{AR9%s{Mhrzom{;7y=$_abidVucpT~PSgLSHnY2ZcJK?K3iol}
zEF~}Pl8-x9NgLK*{kibs!E;l}m-@6nA+d4}xS(M$s2~k@WG>t2KxuX@GZ>k=Uc=&8
z=}r=%%Sn%ANe%Vq-dd8ok|-M&U4Ks;#rD~!S=iI)NZ9H|zP+im-RHk11}G%S%tx=`
zVQ2NBO6B@#?eb<6^YGRS&VyPCByUh~TwYo;hXQLf^(i-i9t3i0d-Lr*H#iNi{c)
zqr`0EILy}{uk`O-p8V4A`*G5E_V9l4EMM%|*B|S=+_ru;ufKl^={6uwtriSl^GP(_
zry6-+-ntB>l&Z@cmrWUuEIGVApBT#Vh#qy47WGUxJQdkGJC)ougmYJ8!J~InF5aq8RqAQ0f}~MIE!P|Ip&K44R(YZny%lwEAEQ?sF
zcgcb!J6%UE5h;IHw4-`bGxpURgO${Qiqlp=MoTgh^Zxy3Upx0F+TXcle?X9){4nT6
zVhXkS#OBF*S`(x6G6$C}g@L-;h~f!3MYj>nlPp4VK2>x4>RbBWek4IiD0=WHa~6)c
z5A22qflmuT4i&CtpU!Q(%Q|N7Hj=oosO{~2zL}aQ&grb-mwJ1xmt_}6E+4`L)`%q&
zIFFJ05l`(h%i&zNqL2FfxrD!X2khstjUTG>ddVYESn1~An#WH@`y27gDruMXkz@@-
zR#VhiJ<;Zqem^BeBin`r_;M!%`3SNw+kcEuFvdf~(;S?Ef5UZm3*@t^7;+xUSl
zmt@|NKG$oJSC+#2*u2CkBc4lyZDGq6&7K2qxLNv`DZ0PA(UlqaeNA0#$SFZ#DOf7;
zGR~PkyMFDtNS(SjeG=WBT0Emn!6*s)@>N(5_{sA!ijQ8#wKV@RiQh_2wLy!6|~;76ZCX!F8pv@
zHFF-losSn9ew@Gc0aKTy%&mPc8HJflJ~q@4c;@lC@$}xiXsspai^$eJ5?Hlb22a)*
zx-v=Yk=8qoPU)oYFT|}!Dl%Vv{mx#Mg2CGo_paEmW1cRVFdJ)qB^1-B@-vJw+NXjY
z^JIH?W|WOai|YQ&q`hnw^Ahi;!wveuofbo{p8AeoFpW_m1^*bu>FQ?O{&gci7wZv)
zUyW%0MXETN-;`f-Ldl8UF92;t-R6ys=+?bSfbiw{W0FQSqGf&Rb_Jo*+!$w5Fql2z
z)VYzsuD0JkQ8U9^#w?7E!&t8rT#Z*tooC+&bKk-Dq4<~t5X-$NL3Xi!Zy|7K`8~yD
zrOb*?HLNPOJ^MeyP1=)tlg)e0Vw*HBsAh#j@=QrUBkCFKunk^0i~q8)3*M0T$T{tz
zomEGebHZQI}IOCa}?T2!x-POjGKTAmbR;H6y3LvGaw&t
z*!h_;wLsmoSrh*ljvt|95o_f-TzJ$)6ib6YHA68B()gpRB)0ntCBCU)MwZ&+*|qEY
zp#KtfVz@{K)5~UhF}{!f+cNWAlRpZTwHzs_z1ErcZWR48(TxD&v%VMS)iBKU+FH-8
z)a@CPm--JbNht2!?>UoZq=MkMDcOb0h<
z%Iurm_D3~-!ztyFE2Nnz_a@02$IjG8s{Aes^KH{YO^v>%(95}zOz
z3Cfr6Pa}1r$?@nkr-R)ddOz|QkNPlS^(?w`44x|Aw|rB0MiQMJ@4teloXjnV*QZ@a
ze7SHAM#ZKg{d@AtC
zP-y8?-O(j}F&o2*dK`S4u@*7g0EkEeq
z-V@(&q+ga1qPV+3XjZpA8k^@Y_>-(MQebyIq@i44TcY7+L>=1ujtPYuq=~JC9tMB9
z6S2Y?yY4?q?V3I)ZE9U?M#okdai?&gqN<1|q|d>jdgh?IzkYAmf-FCxQ~#>6)6zIt
z^+CNqTN()^F5n^z$1VFk_)l6jGrrPVF^d4a^s+g?dqoJ|6H
z+XZF6#|hgba@dZnF387n_1C&a4nH$nPyp!&81>{57}tx5O8(%XGRZt?j<_!RF&d;`
zq!ev@lhyTW1pNCt^t*(2!w;frjz}Ab@GD4-rRn4lKBuRu?#?ENUY&hfWIL4an>lJq
zV);p2vB9b2!PpXU+R5Z0)s**>35fKN!LudNbE*p%&MH?g;$&b7GTlV)1B#sB=e
z6FP!IVbyil_d3iY7B!3U*k`y4(LTfH^AEPV72yVwz1qaLg|R0GG7Qemq~+E$2fI$k
zLQQx!KTE34Sh~9H_S&`UpIqKWT@{ZdI~^fr^^uq~OghRPnWvR9PfIoOe-<048^=d-
zc7e;bi_(=%oRrH;^QH>Me1${v;$^l-M
zrTo!drS(gY{ONGVPvCXpV19IReU_LVJ8UN)d}%sCKPJKSbcMa6DM4
zu6DLwx*3P5WMlGu%r{KKuCFsht3g8Tjs-4HwB3qmi!+ujuGBfjGeqX7xaW{lhCP{4
zIR(eUJ7FlgHdnU=n(KEoil;}dKK(zY-U6t~@B1F6yIVjyC8SG2Ku|hGy1PRJq`OPH
zOG3I+>F)0C?#}n{`TxE%uj4a1_cGl3oO7OY_Fj9fwNc2({V>*1O)MaG=Ps>f>!FKL
zY7AuAiJLpDe}i#xI;L}9w(Udy8Ke{*5i!2F$X}E}kAq}n6F5yc<2az0aL`y^8oJ|R
z^hYi>5XP%eI>3vGkut5_Wg9Up-8$9`Ym$3)flEA-JfWL^&ey&NE$=HLR0H$$m}sIq
zEqRQ15{(DH@MsNIORiNv^;W);6eQWu>@%v-Adj%ampL4$1m!5Lpgdg1uWs0RY`4d!
zKO(kV_kKK_Rm;uVs;*U6kpB%?G5;3<$F6deheYm|*sj<+jxnWhWKraA+fGEbWg_7h
zYUIg)W&9T4GKfwep*~*7m$rstbiM9O=6f_x#rd4mphj_dCBoxJY6Fog@5SY%D&WBr
zHn$L1W5eyS!}i^BE#L|S2D2kV;jFjf##l%wv|)lCFgACE)_gSal@?SZ<87Z`1T5y#6Ny(Z`iI;!5)q2cGr_tCL^~Og?QkBkrzo#
zix;tF9VIN`Fb_}@?cVu#Uc~RFgTTrTo=r8TrQaDx%6y#hY8!Y6$@xj;GxiAk8w5EL
zg9e{Zhg)og=Zy^k*3``w!@>m4h;r?h3xEm2!&e}|$|K#Zb0@?iDu=okX^ZXM#8j(=
zD_M`g!d42W<2893$qqo(S^u=7?2o^fDqIRnmJfXb@u#F+?eg!?eN`mLOce%UWq%3S
zB>Ej2V(xttQ$%Xhs{H0=>?((zw@$V07F6isr7{qSdSg?Vn!_!SAfMC0M$-Xn0r7YKj)yG9o;DJW)9YPd0w)H?+}@kL
z46bRVU(cm{=Cwx?+17ehQ3U6}-dMR>e^G2qqO_
z{^0RgfN<28OmT6Rh`02A=G6~1S_nO{EjqOR#(!wf5<&0q2*DJRsaqJ4ntS3{xY8sP
z$Y44fnzAlT6lc0-0F$Pl#pDk$itC7PE9}e}&o-yQ6Hr7evt7jbw9Eo;Ppe9#-i?ZC
zBVgf)9y$bQrg!c5&8@iKG=;Ua-iC*VTP`)mc|P`dQYA^p8#|_;|cI>I9`%8Fcj-x@5
zH4_9bOeSYztOa}tIUQ4>c2QdwmJ|YB|H6$Z8JXpN4=K5#m2#%q#6Z+emX}
zD_+BTZRO=@r2+hJyE;R|y1}3HaTR{T+VlBtr(rKIrFYBTp-@LT9tE<9tszOBXTI`O
zB|}O+qjmR0^ltf$QP`MXHR&oh*T#FD2C^fhcFc0CuyzzFp`XjMougy=Qg+Q*@eeBP
zA$E?B`pYYqXo8cE%(c@x%x$FLdmGg$TaS0OYe>2m4I^Bn2Nd0|pGTfIcU$aMYuuiP
zM4s(k-$dl#MoM
z!_=FEg*04tN_%uFlF9ITc8}VK2|tF@u>KNF6j)llgL#`)pYoo`rQzysJQ(gfzc-qj
zvPbflhG_yy2_Mt99u}?=SMPE^TKH_9&W@i`_En%zkZ)(jLx*N_^k1+91a?OtH?Y$h
zzGo;=NaE<$6%w~6Fw}-1?^M&LhxO`K>;K&rwni74Siz!1&G@zS0Pl%!2`E}J?3h6XDN^gyL*o%P$5r(>tP-OoZuVW=C8K-yruR662*?0{XC0rXw3f~T?3
zQ7=WLh1!PO_0T)e_o6TEn>KHt921@on8(U9;Pv=u;Y|SNFU8y=$)WppK2kDYAw86f
z>AMsI2-B8fQxNv`k>?qmmRxwiw(AY~m`C%S?y*~Z=zv?6L|BP-IbrY$KWnjJ8
z;p9jB5FZ3{lAW%CRA)dW#WCQ)U~y^tp-f
z1{-cL0$UBb1mF?(oJ0ES2pT`+7e8R@zmqzn(L$)G2A#@CJRj{KN*njzS^qujrXQfs
zt-l!laJS?6Y~n+<`r1IJek0<8aZSe2LLKxe5NSpZFgIED+vl0tgT?{nb{pMl9#|C^
zV1C8Uss2f#K-(=F7
zEFgIKklucHB4)&nEo|Julo<#o5B*e+Z`rP+6(GT1)4hE0ZhCpCAWImBkQn|5J`wtf
zppQK4SsVNsDmuF_MHnKJgow-`k`3U#>K~4qq?lKhmITi3fws_jtkTiZaS_O8-GDrJ
z2gu%lKdI98Zze|}pv`U3sy+-rB|-@7U_+Nj1=%XD1Vlk&wGlu&l$+id#I_6APy$H8
z^~8G86iXAo1mF__!aZz%FSz2rR~a6yggf3s2>-;Hnun~FIlbr6+j1rFeJa@aJi5km
zOr7xUJ|?&-OmmZ2u-~yF!AFc1kmoc;X@c628mv1P?M)*#y70adhmC3ny}Q`&Pc2}_K#RwRFGr}^xKS8mk;;%
zG}>hvb=KYIDcm;O4=XQ%5I}+3*f>toExkOlKUEYO|5dWWY=S1;<9_egJ|6OCkd06=
zcm*rb`L|fYK3C!vfC*s^=bvtKFIW=}E1lBS*p+aXO2PAx`q15H
zJ$P&YmH`$A*VkQWL~?U)7gM3_RR~os;q0|ZBHY|jM@JYhLc-SN8^XIg7%v|PixK8Y
zT_Is520xK}%jp1bYxB0<55Z%u_J=%^H7wZ2p}A5POx(NKhg1+$ctwir9HJzrp2&WU9U=L@z58KGxZtJ%%
zap1WCF>@*v(Pq(7Dz#jMMrh=m6V`YR%oXVM@M
znb{)i%8@=oj%HzW>q4fbKVemi3{E@4MS(Ne{ue}40q#J;`wVAy@W|R806QiPu7m*@
zl$XZc>`>!4)N0GQ%HSE$D(U@_sK^KJ3WH1^cB+?;wfCx5*
zSuziW*<66@(s%x^t_y2b&-_@wc1)gW9hzcrIL6{n!c-a>0lr
zfAcXk>fMoYnT`;%?%+m!X4p(sSjY|P)qQg;c@ZWOIUX${M6fz$xOl_;ei5Ye<=E%B
zTC0U>qZgnlhFQ6Rtbe**FsaFCY-|kPT6zIm{cwC8H@kj&VGL@Ly>eT+NR>Z6WY~;zx@vC~@N2!-cXV#|3M9j5cjaS9!WvhQrC7FXuX)XPn
z!9CbqzeGXW{GK1e&90>v1MwRZ(N{VyKShJh3sYLZh^Y}5C*i*&BIL?k+<2zxvRt8P
z{-bB}AK-$kMs7LdU&lD6ncBST)iFr=?{cLPveS|yen&?~tE!NI{U*ZeS>FIUV?dN!
zrM&j=sahV1O;7RWWuin{)Z`;|QsPx)Ash{sj6IyR$*cf^bV3OcKnaYVEl?6#tYx@rOAPeCr~2ml
zH&vjwoLe$~g5RoPOO^pz`xid@148xV5rRTkT`_XmKkTH_BXWj2bR#_kgkEkD
znYpMZf04KA*mG^UH9vv7C4AfU1x<9dr9vPiUyyBt5bDI$?LK@IpNK?sU1g%QwwES2H?7R!PXr^nh6z-#_KFo0`|=H(hn^@8K%|&Pp>#&5N0!$I0M-xMhz;s2_7{Zhf62mVjUpQzKOItI(t&^
zrVGN{9BWP`o&QWPs*8Rh0+^O;M_54$++bk}Q$dI&@5
z>UN6Fb_eM*3&=1o=Ho$QE`-eX+zR|bn2
zf#Wd*>>LnuFw8fo{O#C#3B2mNl=zz!vHtn)+Cy)*lO`<|=O2G~Q2$Wai%V}Jv6wP{
zTxvRvAf^72KUN!VZQiX>k(`-ZVoz#HB8`HA^D_X^5VD#urF~wRE%;F6SAJ@!GM%66
z-NNWn4@(4T8-aw#YEBNT&$aB|sh#Y%`Ib${^B?+jYG5x`1&f=tdyQMG5eNy-z7@Bh
zsB$?_iy$a$$c`|_9JsK4J9GYP`DAi5U-MtzyaAo(^J32*V1-lHh|+h(GiiWUtOM0X
zB(8@QY9~6%%kMX6};8i;6-|9}JuiE7zvJcA%PRzUEW`ZF0yS
zJ`fo?rpIPblh(t)sPvg4vm>j+
zn!+4MXW2bfk05bdRTr4i6{53V@<--;jvSww;@rUYru5eqf8tP}3}clkCm&6gj-u6@
z8Z#Qe_~ox`;a-#|8i)ph(~qK}qBSWLlDf&;oxYeO7kFFYlhKr)O-)T#hip6?z*{tk
z{vz1!3@J>_U)uFAK(9-n|5mHe7pqCBq*9CLJk#xTTzXe$toK`yzIysq=?LCo%QfYA
zCmQL;GsPhJ2f3$34d6;yS>zr!PM-KBoWQLE#8fu@_UaY^fq}0*&PMnzP+EZSzR!@&
za`|rqBYe`UIR^0jAohy%eB1yjt7E@CG&Ho^WezFR{Iq?+G)6fY!l-(TY(BnaMrfRP
z%y|`nnbWTk37Y1<(y_f0RSb_}Ik25v94FQ~VqFi%GK~zX)ERMiF=$31@(&I!LcSyt
z`x?ug
zn|6f5S9>nvI%Dvv96tgm4hiC-LztD^0S6499hZ-1z8kXO_yklB+f0~JOw|kIE)B@gBaE%B-W|qir$F9=uzJ=>-{J2DPT}vP3w>w
zSGsnE0&34jPv7$>eyJKa%kK*@(2YXZly!bWaW!K`;XX?m)=)e8KG^vDLcG}Bg7%E>
zD4zJE$!y;K!69(3I_2(D54AJpf*n8Ohv0~he)-voV%@{;a7qqO(i46P9tC4)x)cSsS>y$w=G9Hy&
ze0-9EI+kW<`}cz;f*l`L?qrvruj{@w(PzVe8?bd|9AHh7X7115d(k5ev;H3!0Jx)c
zy6mL&aL#Bd9pwc{>>nJ^mfi#e1Pm7vT?LZ-3^HWn-9gmqdIZvDk*tb?sI|4V;D@xT
zIWSy3avtX~=G>wPteE2*}of&I_OCwTY+7
zxFC{0RL1>ezVmKYplX#dYLnB+cAdvT-R{v*TIFBG5I4aQ(7TDhXhhLEhMnWn5w9Xo
z-v;G~-S5$X?p|~C;!f~~yu-L=LLzXgH~o?I*}--p70QKn5fT9Fes37mnf0cl&#O{x
z;Ux>5Smjtq*eTqKuV_jO7CsJ!l`}Xcny|Y%b5*^T?>JQLma&?=B5RhY+A`j$4!VQl
zqaPiunw~5|#jG+1G+mse-A
z<67=#C?C1<
z{R_oDh8QR|7BS!NQ}}R5^Ye+y^`eJIW!FH=^hXQ>ylM3`JF{PoyeX6q7R~2?u9cQ}
zUZzL89;-*jD~gf)8~brmm=aK4s;6p9FIvaPPTna00N@6xP!JGFMmJOYsan1xglGim
zWQA4Af=x@>^Ye4a(GKv^S^EcWh8}(y#6%IV1}bGMni)SoYPWa@)GhyHK<7V&Sh*W^
zD*VO807xXw2L6JewlY8|7O(p)M4Y`lC}X>RM(6-SK4t0SBm(=s38LCWSu6P0v=*y+
zE|+Pceir&81SVzY^!>n`y64@e)d4!aXG#S%6VVk=5+LuF`L8&dsV~|J#)=mtJ7&+f
zkuT2r(w?~-TwM0&n|(^lM8w2Yc%d?`EFLGWE1_n|{HLwZVG$83)$U43i_D-~Yl`Mk
z)>tA=#_sUPtgBi3<0{AhFhuO0B|#_wN1-q9YKp=UMnBjOM6{@kTCkk*tFuwnk0bTzG95Y4?i#e-
zq$Ry=h0l9RvgH~4EO?ID41%unBOA}xk#(PbI666b9oeKG4*-M+Rzxc43AmHiX5Fy_
zhzk*?1|mg(X#dElZdX220-AlbDx&&fXYox1d3DIpm?O$PC4eUf8`ie+QMie&#d+m<
z+8VNq{(i879p)&~Pm{e*D8Sj%07KVFz>5x|^^_18ujc!yvR?yRw}&P|8o~P`wgAbx
z0AWL_&|QpBQg2?v-F8aD^Zh~S^CAe8MxJg~MnusCI+^MgMGOqgIxM=6R$4M%owp{e
z!JT>v8eLB~e>6?CTIkfTQ1baS@edDqCwrIo(ehF(q6wO6@K04As5r!C=ouJtT8Ivq
z{6o*hA+`3vHxn8_o^uCL;g?z4@@fece3rPjds}>sgR<4a**vwW53={+7$OL);*}hq
zcqQOo3!wC_5W6)q+8Y%;BpWdqk5s{(hwK#F`|}oMTgeusdcc?qw66OVkj5L)@mc6z
z;kfz1`gO3GRa+(L9s4EPIb@`(Zdr2dx_mydTg7~AJp`!X2yFBesHk1zH>zRpccyZf
z176Tv%!lseQMOu|($=Jn-<=?xBmKVEp40dCk?miM;QQb*caeTQ#{yrcX`Sw_Xa^HV
zJ#u{V{|33?88eRJKk9?hG(^-vCv=y+BU>25iHRQiF7HcSzzgM|i4XrpXLg#N32`R?}(;Y$+6
zH+#&lM#Dt4D#Nub*}nw?S=1oAmA7+;#9$>F&yMo$xC3SO>#kx)MOf#|3nFXrN
z+EVZUK>Rm-psvKv>Xx5UrCBo*-YF=I=`O-J3}rk4fH5>7-tzwcC}{oiej
zf+g_U|BgZDu0NX>Avv$FN9ft^x##7U^uNaBps%1?pHP$Ao&BqAm(BbU2nm1;oxW~r
zYD$JtDC5;X#;Ko7p~3g_hGVNL+@xh3A>F&{XZ>+=&eOT;m+lTqxpV1z&VYY7f`Uvc
zKC<~qPE$JFph%M4&mmlqg)(0}hbqQsOzyc-dd(AiqBly~rohFJ%B5cHKLCXz5+r#F
zJ-c#J-m+p$WwQ#eo043cI1+FTWo6egFN4D#mGWJIe!Q;G;4yvs^5J*i4X;ShpEyp4
zOJIQmZ41g4sTEdk*6GUcx?GnpNFbh%Po5*DioPXOAv&Bhw45^lE4Yt!wFVEB%|e4?dMR1O-io?V))4>bLys{-xtRv4vU22K>sp1NZdJv8*SvXIHgTd6V#Q!w
zd!sDE$cdW-Gk+5*gqmXZAi|E~`wCzGXKSPLwEyj{L+G(1aGy7zwn@uSjVM;0Wi+GkHPXgUdmKf|-X@AED}#!_{pmvf58buaPO?N{59eJ1>;zTNl&?UY
zM6F!e%ont*pK|)!_NEh5rlzen2aIx0QeLl3(x_Rt{MTm5%uR`QKc)0w&2AU;ZHi#1U|8QVj8VF2T=>iX0{1$t}MfC_JYmwsIZDy0m)7$L`I}AThqOa%t0$`|q62
zJjO@x=#gk@VVkIg6m9fv8GRJ--E179YQE2tkHBTB|Ibv)_ln!NBAc&lx=P5B?yY1*>7f@Wuae1^y`K~_>nF#)#h+~LS9*(*Des#yUS~0f6qsh~k
zckd8Pkj36#?MK+V%fHk{Cg<98Cx6gHTO0SwpJR#3YfK~_irLZlx2Zf?w#eppNIDM(
z!ylv_^HsO%VVpp1PAk{!(k9ix(5U(4_Nb;PK4;F+w(xgT96|
zINM$g&`F%H#QtvM1@%r)l5ZET($^k^+8XxK?7Z8jgk+^`or$tTMMG6JL`Jf~OLY|p@&+!aXWkttcW3_VYzA7z`lk=ofSJs8%U(KRwmmntbl6Xv
zUg_>I^_vKRmmI12Gabj%^HOUU>)TdJywK<`RKqB2u#m*_k*xfmM&~0i36Y=w+Cl1n
zbU?nm(nq^Ca3bx{XlSg4Fc*xpyJUG6({7;?kgPAp_BH|(K?(Y(rpG#*54Z=fXUP4W
zmqM4wBhWQ&AsOYI^I^oZBjmbOQi(ZTo>hZ}{p7w+$M`XY-P?K@nAxXOs2KLnJ4Z2)
z6b_A$Z|Z5(q+KnB|`@bi;fTrkQ-;=daSZ1O073q&sD~$eCCr-WkuVO
z#rVY0%^~#pd_YC%bMFdzQmY=XY}NVhvg`rYh&2+1xj2VdCS;$!!STucp2
zW+W->is6A$ygaU6_~SQ8hB43|UCO+s2^Y9QAAyN!frZ202wW)?JN9%FLv5FK(|#XlyFZ4#
zXlgeR_uZ7U{`K*S-V;*g^Jm5(<9DYSn+-(E(ZV19L%$#xM}}}(BhJfJIE#%uK=ILl
zL5w4sZW%3+^&>~djpQ8HoesHq*T-%uC6*wbpYy>nko)b)F_bj!ocwn7u7f6yF`r8_
zci&W)2H)jNYYQZE6G#$$pM0=XPw$DP_cEW}G%%`x!pevLl!x?d&?set2N(#gUtLT~
zx204KNq0<3xtFQVCC%0fRB-(K5p852G{2tSl)hNDqIhI1&2U}QB;U6NlJ&tDfY$4t
zOQ;5T1vl(hYM52-&m{;2ga!%>Wn6eAfEulxtf|`A{r0)?{!Dhl#e6S$`pDsy(GA2v
zD&Bq=OZxSjb8(QRniv(NNrlxMu0jB$9b2xS#`Db_ao&k=o0v;Jb1whgiP*p8W(fc5
zzh)Uc>E{<~Ed3mai|rh|l4YJABVtK-IB$lzzBZY!Wj9V*=KiUb`&v8O5+hXRuAVn3
zeHBurv#jI{sakmZ(qLu!2!Z5r_2QA2gQMBZ7I@GRO`ftmR-qf0)r#C&!I6fTF{I_9
z!qJO$I>n}yX?Skopm@5%F{Bj0gpXVud$A(PDudm@Vs1Wn@W+QfrsaKYN$iQm(W3oN
zuL_lUP)SmX21}zCgGB)?LhqvX)*tW>E8jb%US%;$8>Nr8C~60Q6qp&IY`gF_ud*&{
z%6v8AI^|CMq~maabVL3brXkZS3uS+ZZ#c48U&@VLqdw>@zt6Oi+;jq#pU&>TPWp_zD`*MV5InLmxf4>(BrKT(
z)JnuzB0javPQ0VgDvgOI%LulzhabW23r{Kv@
zmvi@^B1;O&Lm}jV$+tU{n(m|70lWVepRO9{NEP0eh%GBO#
z2W!(eGn|@j@A7jftW@>t&UOX_2eJPoxKO(Wk$d83Bo*7vJ4-EzPy6w`AtZdK9vJcI
zOk-ZYL$n|o^ZQfMz~3UWkKrg;De4IE_&SB|=Ut|{iRG5C!@CHV8C0g`8(|gnb12)p
zbkCK{_9aJAk}?VhgWFgf$p;u-N&VA>{?_>$Jd;yXOufyL3g%I!jSd}_EAMBn6+Mj|
z39x#k1FGQi%ygyM8Q&#+>&z)H93saf8W>JYZNmuu6e7zk^sVa1X=7_;5yD0g|D2?r
zZ98u>+?ICq=xG#7DHMofZ>dIlu
z*59>=E#Yx*3oP-D@Id27TW)QXwcb=AQ6??t5tBrb3byFp*^|!}GJ+WyO70W?>Tptz
zxG(i|H|z<9L`Mqx&b!$+N^*F6adc%EG^@wS4pVu*=c=%C7@Nl{B292unDY$lb7xq#
zoq5J7V!QX>xW59EP@GkFPFdk5)BRV5S6?8$AXFp*dL1}P66x|mHSao}XijI>*u+?f
zo?VUuN6)A}?P8CjbcbYA^@}jSu*b!gpZ2UbpyH3sAbX?JRUc&%C7(8_tXs|Vv(A0*
zvrK8Km2|~pDSH)gYPRf)7pnQy8<8hK#u7hh3dhAM_@0Yx{UCx
zB+%5V+ojOB^o@QM6MM>9n8O$up&vuFa&d~!
zmu#g6zxoUbh>24#Yy}iNer1urleka#|2?}Bp#mM!f$jAN+^zShaesuyyb??czAT9-
z&+8+;qgy@4g`KV=NF}cMvV$9sD5H=O@e_RjVn*P~gl6P!!-eE{4;Ih+>`rZSk-2mH
z|0zKzAT!^o9s(LbZC_Vl0S@nv;5qXk7>-X!Q`P|(*qg-k|A*}X;lt}gVLnrkq33jr
z&_@;?-nB0e53+rn&>cT!?!8x-g=kZg?w!Q{gcAS#d}NUTiL78-ZS>BY)6c!Iu+m1q
zSaOQdOEz0Lt@QjSRE~^?lQl0x?0>Ch1Lw^uxFw0u?`=!G%nv*SG2`zK=VrT-v>dlv^ft<)i8jWGfwV;u%{fKcCb7H5g1;n@jXh
zwE%+u>C;+}O+139
zc+B{AFgvkBmcNwy*?LrrTH*yu-`Zox$pikC$))9X)@3v|1F8&m#DT!Fdhp)lq+y4I
zxMvN}0C~3DOE?7t1VD9KX!Ux*CO&C-H6V2VS7TN
z{inwqlIm+Pi@nhJ9eHUP;zJeu?Q|>po!gEL7ORMuc~SFOXk^26nPt?@v-f8gnhU~z
z$3P$wD1ynJ!=LK*>lKi>Lj9)Cn5}1*%}?dbWUiK}_wdXD4`(TE4|it!k%B+oD21MY
zn54S5KIAVvzGMI2Pa;9*QQ$~$Q0n(V-%`h%bX?+n&kS7YN)OUm?RVA!Nw)#&&7b2|
zQr61&=Hpiu5BsP!ovDNgSQ1i~bjmyJVe~Q{>RV_pMaC+PpkzI?ZC7WuCv!(aKI98T
zh=%!%qJJwp(b4$;t&{9TsNkFI3y~)ZP&^zw-1#6Xv?T;bngHR2k)3yV?8w7!7{g2e
z;$x0aP!zQ^`WDFtZu1B3_eyy0GZ0v#xQdoEE4()0w3L5czE@DH77wSYh#+pCZ-KwK
z#Z=}3=>hIliH*C3KJL&&i?+*FoH@6Rdaaei08^dqiu;Y-YAa;(McRpSlLR#wd{`Q}
zQHz0RH*V-<1XLB2&vO&;2i3_us=IpMu30qJQ}E0EtGF{DMh$XC&NPi*iKQ}Q4y?3Y
zK^x++cr3oVcEYUCnxvQ^AbT^}srs^HSD1iNt}>qO%7$oIh^
zJ-c8sp}F(kO%#yMgOFI+%!(6qfbgKLcZ&?6l>@OI^AWe`luI+HHm_yn51v6`%r!;1
zD~}#F9N2|Borr~&qe1*Ioe?x!7hBsSRQP1;FJ@V>kY%K+%qv}kDh!D
zP#wL(&8XaqAC;7_gFpF{Xw;p*a{U}g^nky&(~3KH3YS$j0DwT5JNCauVHqO{4OdgN
zZ$2VRt3VVn>22xK$Ak^zGVPe5W5)!k&E0vry|pc{^#RDOclLyJ-hdgC%bR;ZUXpEm
zl|KPdmogPm;aFIe(9BTtB5U=ueFddoL8DLpDU|AhXk|Ib{#8*n5M@16}cv&v&7Wbsd<$Z@2CiCaFE*fWM3nf}eZWtBguC@asUzNPe|
zLk4UfbM~K&tnl}Mtof+}2NuO=n@gE5-0l$JU5xgvczoY0dH^Us;-5dm%L(35l^(3S
zkN^S|l*M$h9&pulTZJY~{F>HsZ&w}5I85}8B#{Ck_PQ#S4yAI?daZxfA1DOTL8FMPXZSmp
zeX+(RNGK@&BL@~IpB}Ielgd7O^2c~ssW=YTdUg%bk$2GKhvo;|&-cs-+Et-xNML1Q
zWZz@0d4UXgN3<>D8P1Z!2E&e{gcVWyJtrHCv@)oOe5z3cd_L&_GQ14Iny>WVtI^_y
z0Dpza658Z6I?~N>-e@(ZZ}U?_46WQNcM{@skbT6q3-_C@8XjO%o^|0@8T6n5CdMl<
z50o+)%vNY+Q&*oKPI@?GK!XW-F6+f0v*g*@Ay6vq0KUx(=SfB2_yW`GHI;tDrPTqu
zHnmv;Q2Y)QS9+v*YV1v(?Q7t#MR(9X&_HfS{q~2_+|7&mF$Ox?i;qA<4v@ig2b{iZ
zJmga0vC_m*6Kz@=9B2@IJXrMvG_H5*Gj41g>Vq%?M=EYdF-VnQ|GD_Zk;poXT$cFt
zN&hScg-oF+*2l4gIeg4(SpnNKo^>7
z#5Nu38gpo<*?ar9=(#fF@TI3OpEpXV%{(8#UvHag~``dR~Dc1QRFV4!y=f1vFN3rX3%LqBJvoA!5BNEi9;yGc0#lO>q
z^&5|7olg2!clR12V1>h=h9fVuzKLx_d2DTkfM8-`nuvchvc7k6^8U{-NM4jYtlyQC
zlu%FAsD6PkE%}pN{y#2&cORieo+R`0z?TBF%O+NCcuLZmI95it8l>}$(
zIHw4#j+-9MPf}U8wihbuC2%Bf=Y-2XbQWZ^eH=5Ks_NrSNFgdMoIUvh&flMnHjzk>&sH&NOPc$#33%_sj5$Sx{d2HY~ip+QbEv1
zFAa-2=CyT25<$JQl)Hba$7hd9({ILV3~>kP?A^|4r1;pytlA9q&y!pHhE-Y6$r$5{
z1<-(65x@*F!GsS@neFn2!uhJV561dEUhU$^oSspwTBEn>k}1Hfx2qG}=QX*&}bem1)v`U=vXkg)(Cb
znRrM3J1_#uG!{jATOCpl;}5D8Jj;cg^+e1tIk!kg*_E5O)crEh?@7=rihA^Z>;Agv
zW^>V8*)A}$wQbeEIEOk|7$*LuF3pHj-t728h|&+k~t7jgH
zZJ2st?m}aK5HBJ#`?#SwWRku@hYHnZ+5G5ngs>~LrYD)@XY1zNPQ%QNyA%*4?w1OJ
zk89|1YTKZ?3axvwJ)T!cP3R0Z^Hf;S$l_GCrhBk`^N*pNs
zofBh^`-R-ibHYobQsziAUO6}hn3CqrT
z2cKi22C|S`kZc-@P4i+g^zG)RHp;6$eDa*nEFp>K_J%rli8RD(jKTBBM3_td8qW4z
zYA_9^M2wm#0EJ!1%Oui&Zoz^*mXrQgm;SUm+hlUHH>yi4&4ud+&ZeRT=6OO1fotLU
zz7!B3C<7|}g8{ba=NvG*I9&hU2u!h^g?4^eK0|{5H5BdF7D=Pa%O3sLhHQOlPRod`
zpzy7un5I!{3Ay?|LPkMZnUK)~AbL83E*skmm&p_{AK$aM_%PG3$F*tfGwUWT4SKtA
z{|qtO6*vM}f=t3he_Tbl*g;CEr&-C~Re&?szZ6=fvT|A{z#H3oAiL0gD-_~#$nuUe
zWM&>vJbgF3HZnJ^oJ-yoOd@QLb*T14sx&o-1hMti!5Ekx+jII+~X!<*y)I
z$cyHfC$RcL#sUSS7d=D)4Jq16!@7Dq8{qpsSk891f%~Sr<#Bk((cZ!RxQ4g6=Z?1)
zn|RI}*z^-)!j}<*ee{ALr>Z^~Kh%&rso`%C3czGf-b*iO$~U=mx7%jfFD(7}GcT`k
ze`00FWml4b<6EOL%+;K;27Lj_PmWJojaW2IvUhg;4V0MvtO<>KK@ED$gD|yCRt58w
z?AD67_G*e71sX&
z=(CpCeRAaL6pjbihN8K(^)@&^;a6Wtj9^OIF8Hgb4*~H293^@STwrGO0L3q6emh$%
zw0;?O*
zUaPF#=7>uq?@|~NGQ{Hn!#NsRS_18m%B-CiTw2nxd(g#ihhuW~Yn)pV!u}b{-!XfJ
zBA%-N!PIU0wnwQq|12fBIkqneGKQLS3sV!Byz|Qz2}IX8+`|X=OBz%>l?K)Bplh~C
zt7#K+zIB?W1t`WpcJ}EBVlETjWWynGgELM8uQg9%e&;CAFmWA@k*=tMXEIlS60%Z
z>&ZVQb0t;@SovU7C&-u-T2@9w80Y#m15Ny;RuLV6BU$vOUx6;Pj)~ePQPZmw)&=!p
zax*Kx>Kx65#C?oaPvg$w4
zm5e=q9KNa+@|q?w&qUw)!i_<`?fV=nJkN^oaN!h)rj}ftL-1vQKv)01{|QcO&}z%W
zEp6XZ$QJ!)PJ2c)R6LEL8Jr@V3EZX|L%$LWfguR9Uc0=#GR8m?V4pU!S7C(C^OnwR
zjRpRg>37M6F!7wj<$oz<9#=)h+W!bAIMjeL2(UvF=D<%JOm7`~>n&W*l|^?nZT|dA
z{N;57TIgdJyvYKV|K1qMo~o}4$Qm`-R!gOQ?Gwww)x^~bY$5O^Z7J(6Tphu4^Qpsv
zpN->_&R+`rgOcp-sEMaGl-&ADLQ6hOlXfld&U$2IHjPgtT&=C};{g1Cd(`Flp;Q`#
zZg5MmMK(U}R?XJdEZs=T$eCZGXA2>{n
zfpEH;6L}7<2({}`QS>u#g}d-$1rPQe=plMZez8vP|E99QKXxIdEpfOeU7M1a@F@pz
zeP^muTRZGzo!zmnvUf$knu~yrIkb4YvUlIi#$c26dcnJn=NGT&EJC?+>W{#1vLat5
z;@B%Fezckhr%RHPcP=Vm67Mg^+2MHePgI!@
z`>%|DqA9?^qR6ms5yp4WXdu-|Cm|$tR+O1wvEz8}msmu#%tW39S#ER)NrNzp7JrSl0@}L;5Vf}5}Q;q1uQK6P!V<2J$cMif-gkQ
zylAvNN}cR*xR8#^)=~i9SND1>aC>O=v9nPvL#85@y&82B+
zY^zq#on)g|Tola5Ewj)1@AHqC<6)D}-fTQd&~+(#V%y}SRj>o;k~tSPSAP}Jc(1`=
znHxcW>sLZ{Ir_33EombRx^;rjclD^@1=C;YMmi3UKf#M&AfPb~{#HoB(Y6w>J~00q
zkf&yrLqM^^qF|cvzAvg0RrXpV^{@uvzSTtJox!?ua$|W{M_?=8IPX{P#;ROx`r=kKszo
z8PmxqTpo;JZ^B47i?svM0#1Rd50ljI@PXU4jm+8|dbppHM=D;<^#Pz(o9vu3bu@D;
zdpoxu6Ah-H1!nv3>>!LDY;%9__ympWPM$V|U5mt@4rB!ae>dV5a
z@i@#-7>ek-kZfWGj?P7uW35(Qy2A!zv5;-aKwqurtg{*Za_IuZref>f%HQ45VA;6H
zzJ7U#0{$trIKY74FhV4FPCcOhhZ5dQSQu`KsKL!i37r|&)@4~*@Ao^wSni%K)ctBw
zH7>EAY%Py>>*|Yf!g&1e*sU3R=zl-tJNU2O`{=l
z%gmyzW~|rq?`VHtRH}O8zwX~w$766~%Qxj)q$MKm1y_{(H49Hr$&;wYxa)WAi@6)R
z+||F<=Sd0m$1AYh#Ir`#Cr-L~6M4nN7d{P=IjP7AD!=kmL(EDSGeaB9Y9rpGqWne~
zuWh#x{yN%~+PPyRDco5Wd`o?cx$Z^@DUaBfzq7S>A0joI?wl~Q@xT*zq#xa)r(EZo
zn6fIr&A|X2dS|+YE9Ppjk|EeuW?*B_;t*1u(4|N-06nCM{Vy>*dJ6l80+HG6El9fl
z)sU`*^s4`$y0&LqkeIIebMdu;xjvPF(&8**fs-*XtoClNb%6Lwn!b_kSOK$vB)xet
zQoFI2lTy#^S4-M&V$&0wMM?AM!m*sZfv+6?7k@;v?Gt_*Ec>Oz~@inC3l9>Gs
zC86y$YeHUdD5xq_#WHQD8`tEZf8XH%y}%pG+qJKYtU!6$CX!pgK?$s-Oq}*v-ghpq
z-((-C?G}+bX>0slHBN#&LaHyE%Ra>%IB_
zN9LdQtwFD@J&(|9;n3~=^R#~|VR`z{swcc24pk2v@)
z-S56aOp>s_86@}w^;7!xqU|~B-6m@yE6;h=DDL@ED3_sim|0M^l1dLf$yS
zj#k-tkS)c6aNtCOLz@0dst$pAHA>Ae2-FKh&e&7Fl9fL6d8F0>i*4}%qx#pU)$WmtUI(g2f
z2ZzDGdI_H08a#rr6NF$-2bLgnu8;djtWvlVoWh%LUBX^N-bG^aYFPj3CH!o=$Hx>9
zUdSf$vTQ;xC}4Mz>*JJFm`-0+oB#j)s{k2C(;vm<{LF>pYmyxuTg&ToXeKwUeT6QN
zzPR$d1^#0E4O;l0hkYwv357Tirj)vLU9KsfwUR@a?7XsY4NVH&&D2<&GI8ZR+XA_K
zJvK$NGQWk|Y!O%1W&WW;#5$u(b*tuocCWPcoDe-#90g?`=nt_VRYJGOX#ypr2)P0N
z&9LbFFUF*|h;s8`S;}g-v3f7IMtaul{#{t{8p%Dlnb6>EDSLa+P;&Z)o<}?TU
ztzO8oD$WvodT;K5ZtcQq86aOzo!0b8g8`OYg3z<-O6o)4$D6G-;DhOd;h2Utu}wADG05cX85LNoIU1T1M!mB?1lq&e#EXVsb~?JyI;BYLs&U<0G~}%t
zf=j)6as8*!?b!(tPtb?SZFKBw)o&4y%MZ9kGS#`EXXLn|&{pBi2pVDdsh&B}$JxWr`R4c}Fb)?WUM~}1x`#JIVU
zIh&v)3UIeb0z>%0U?!H_UeeVc0k(F`lkMYH#4w$~rMfj&TI;s!13Q6>YK~sZhw*m=
zYH});8mjWa-ZGQRN`|1TTKDb$8k)aYu;;>nYR-7ufP_
z3#*%RVe5|t?+Fq@jGUZTSu7Z=sRl!w*XgJGjR-1X7JCprN4lbfe8^Ij9U4KOeZ*_b
zLubViXwnk5qUiFZ;N8w90H}%h5CRC1zCK>qU0B+%wMF8K-?1;;8n54hKVBg?rckPF
zUl&(@$WJm{clz-`=wVh)PMm!MeTBiI2?}ssovW
z-9IjTcsx~0jVL0DF;lG))Vj}>!9s;b%`uB2;ic&?lag=>7rd8G7X$-o9u%5C3uYmV
zq!OvLHx4gMmhTfpi<%rS&bLTt!DHQ|h5=M1mhT`&f1xDN*Tvuy(^b7r>vJ(=2)8IU
ze7N-Mev%S66n3G(NGM1M+|p1NCl8TRd_NZ_w|)y(kLy@n{E32K4wVmG>y^5EGOe6t
zgi|9I8qo2>{+{ZnV&xElMDY(6oEl$lB1Id0(p&G+z(~^FA84$i2py+Xhh4rdL2^|T5RWujk%2QOd4*jGhTw{!;cq%;3
zFJoCVz2oRl32rlRx;Vr^WI_sW!Q@`R%JJxZtwCpy|AFOT;+vaC@A>)pyobeO&+WJ1
z3-6NvvIzI)oSXo<3|Idbq^`cWOdl|j1GO5R7@*QaLxZfXI^SLJ10rD5DXDBnx^E>c
zhZhPZ9t>BVqfFn*cxW?s{#q_tFX|JpDQZmfP06A(ij^WY3Q{GITT`@aMnh0RrkZ&<
zV5}sa%~xvqzAkcnDpXTD5M4T`v8e%_k+fHa29zeiU6c%2bVRMOis&_}!PRA!5Jvij
zDcJElpI_>J(p<+wrjR`C8*ZTI;qUpDMAU0vad;}y_PRj{XgUk6wK$v#Vl322<2pEf
z{aXFG-Jg9QIGjV9#8sfJZPWVb0-XvgvF}+*Q{0+Lag!6~XC>2B5@AJa>1@AXSl5d!
zz{=yU53yuo$r~?X*lDSm7F>F!6p8*b5_3UV4kf@dXfH74!J~apyh3
zZ#S%~cR$vrct>2+OcQt%)4Ju^4B-g8gz9V2j7*grN&bq8Kugb9;~czxHwBQQ^eMuU
ztFYXq^GR1*|7u1}F!_c8i-JVxH)r!f=|5GQ4Uwk}XvRRF3xz#hSN&ep11SPCE32+5
zX4OI*(48a!DqLjGSGLbR(8>36s82QkMpVFQ;uo{=EQ4P$cRsQDR&eSWHlHK?qA`Fk
zBfwbeFD;Xsy&eA78J$sQ+&~6S_#0hMUJ>G1dl&M5jGXQ++8-832GUHV&xAUb#6Uud
z!X3bv=4d;TT0->kF`O^aI=^!_r=PcOKQ6o%B*9FuC=JY2?(_E<&TpW_Hx~N832M_f`%F&-t+M
zhFXVL-asH41Gzsb0QU|k!#n^rAfj_uK9YY>Bl>Z(_)oTf5?XIlTi2k&mIFn|1)d){
zqWkH#tB)_cgr9P+@eh)&d<(&=dG&uLB<>;o9{bTGgZe6~qJ!S$4N*K>a?S11oTFjkmsfS9@$5(&&
z@TI8bFmyy0>JASkYNGZVt>$Y&Uyylz7r6-#N&1lWWr1hqZu<94un#b&Clel;ueEdo
zf#`a(7Mwo?C_T+s1dLBRySqON3(Y?+Fa$L`E@V$)bFxw<&tJnIuQjdREyt
z1I9qBMVwgT)roGA9d!&n*V`OZUVRMqX$U*BjxjYwnLZ*29E4R^C
z-Q+Oelip-p-Pp{Gx-z+8N-(gX{WdJX5dU7X@=x>*r<`Wl$Y3RW@zZ^bw${vrpzJ0xbLf!07GQqc4Ci0_``O
zfFoYbX1h;MM9o~DVJMyHfM21}cere+kScA+Mb#ikI#7g4BN?lxgpKZy1q81NP-u;~
znlryvw83Mc8j>v!S8B4Ax*v3Q^p>qp=zc=<#$D)dDx^ZKM^Z4Z`n%GV*B7XR^~X*Q
zPSldi^nmm(T?{rT6a1Y2fJjc=D2>Tiy6Lj?q(?7__RtMq^K3Y=p$+MZPnsKLDQ*bb
z4A4kL%YEeP;B!Q_JhmCiP;xRxQ}XJ3F<7Oou8;ArlFDqdqveZ{>;jLjHGBA>bbwR0
zqAGw)&>tV2>k&bTT$j{6HK@iVwWMuRh-p|a{vpKhJ49wE@vEA&8>?elNu4&nj_|($
z@A~cbvcCr2pk`N0ATF$BG|esLyzHZj21;hE6`$K-Gu-|WvNRoV#H%&~g@Z-Vy$6C>
z#LzjiP3Yk51rJn*&gFPn(bAF$s(ApIETG?{=Y4Ao)e1YED))9CI9zP;dJ6&n^D{f!
zaA1^`7F_P4jJ_r_0F-2Bl`TzpjxO&h$(jkZ=UC{cHNk@<4@ep)@S*(pAhB^mgj0TO
z`A4H03e@Nci+@yPsS<>(d#?b)Ytg#S2CCk
z0?~H6nBeu{jwq(CrU;it<9;?YUvsguiZ@uT8Chdba7a3J8*)A+n+=~^hy-vpdK9{}
zP%GKg*thYyD7QWMqlv9t!eBE*L-PQz#A$oKL*NAyBVM`*>fFWA(%mt~quWoWz#Fut
zJqKbMw!}i$_s_18)50Uy{hot&i6ujvdvzG8sjt`WD^PUkPw@OZFI4sl8wCP|8!Y>K
zd)Y-61syFPvKfm0mkR(A3~0syX$C{Y%zDi?2kyi?R;!V`%UP9`F{YVbiBOG;`FVl0
zmWBCw*Y!|3HpMv5(0c#rEtgG^c?yu4NdBScZa$zkp0COP+ONV8pk?-CE;srnuz`1d
zf`qFIRt7d}!qM)uCYZl{&4v*UA0s$f)13Q$FC<9}aZz&l5?r7voI~QzLpDxy9*#$v
zErr1%W>2-pnh!?Tj?Dxs-KXHG@yh;~9R1WEAh>k>=}Gw>W7pv>f9a{A?YAku)K`3g
zkA7u^uaSK|7r@eg^jiSSITPS)M<&JbeEjJ7<>D&K5Kcn3#eYMy$Go$xxS%Tp!>}%$
z#U3T!#y}3{^{U^lNcHDTr}CM
z3dpA7Ohb2
z9>@(iEqr($2zS@RSxq*2`ZaT#$_9ZH)Voigi1mS8eEnWgG411`DyYWbrCN}{?LSdm
z%ZNk-gRLiU><*yNzL)Rga#Cm2OI|X6N%nz3w;72mDSfT9umtMtIfCT5tfuY~j{C#a
zg$IYv+hbNH?eCxn)4R_U#r|(}u+3@q=MEGOHcpQ+*LH5_hPy#>4^)rMBS+Y!(1pn)
z8QInY3e@Q27TU0rcG>f=0}8AVUk{12B%;HsxZvTErJV`O^beR~FS2;tN2i{)#3WWHd){)I0P
zW~AA!3woiy+~BzV>q@A3INFo?x?TplRw9MgZW+B$+FFLs6Le0HwB@R{Tyf7WmlmLy
z(1fU#r6vurILsv~1+ow8tLsMXQ
zN16(An9ru{t-BEuZ}ErBe7XgCsxpSp;mRGU9fPLY6WN!V6%<%rGIva~0F=>{(=F@s
zJquk?D@H>9YG8+(X~CJeLEkTSqw^*r3jrM8jKz1Ai1g=<#sfTke8`zU&y_x!(6cGX
z7^892En>c8PyH1hMbCre+hwIiWR^V;GG@75crcy9oRlbyF|Q5ap|?i`S~w=
z!3=!bKC0#^NRX8+Qvdw
zIVTXTT;7~bIllYy2F--~UX`wYZ+z<;5Bj|t9Y7uHDXW4KMGcg~_WcLzTaQdwkZWTn
z%$MazS4%g=mSsp+ztn{Tyxp^YU1Cwq>oMY5qXe>JcZK>|$#!{eC|;HMYG!ilqWZ1#
zFX%c9IF4uVo?dJQ5fx!Oq)l*@d^2&6*p)$;KMrS@p*_x3X4|2yVAICZ
z>6;n{lCXNADILr@4LD4YJ$pmyB~&abpWo>rSk$|@yY`64b;l0t2oj&Q3#@o-c}Wv$
z$MXV_rRApU8ahf#JHZJ;v?FcIvD3!4)%!6A(a5#-(iH_Sp(REQ^UUqrBdMt&Z5bkG
zZ)W8NV@;4uTc_#33yAno9>~GBB=|wa{@(iCt=45NY9j;sFQxI#;-AY!9r+3z^La~0
z#$$>O26lv*1&@94CJ+`nd|f9j2vpbynzi-lZqKwnaYMk7yBlA3yRh<<`1ZKjanboK
zl8%ex0jdV!b~R^OS#lPoHPGaI{>=#{)r*3v4L{{*%@nTu4Ac@AjqCt^R1MU&W?4%K
z3$M?$cm=b?bkl-=x8DFlrDl4TZ!#s&k`n9@W>nN%JKC2lLR^T5c<+>&f{X3s9tu-5
zSA3%+Rp9d9<7${$KFk!Zvpdzm=C?Gae5N-mwBLzHy`WXx>pV*8RJGhuBvc1C-4tK0uoVD8!U!HiMr
z!{M4FQ7I9>X{0bcnb-z}ra1GN@}jiM00*IGFNRS~rWnnutRRyx2Yi+u-6|_H-vq<+
z7j{2%ePbewE}YhzKi`IvxOMls~hwdUakrkAF}zX
zw)6KNH#9!1@v!!^>`cT4drnr?F$@Cef5S_-@f9t%0mdM~-5g(8Hl2Bv3Uh&-)>KmZ
z)-*DORO}IdHUYp+lHSNM2`M&Jk^1}q^$fOBm>g$E%9v_dR9R+4cIzTHFRvre
zu{nP{_Q_-_tM~W0|LtS+cy~#k%V)O=f$F2wSyvkm;(aLn$X#g7^06kwq>e=OfyxDg{Daf8Wqm~%&mX|0Y!8U!ORWO|`r0MPbwe(k
z$VFfk4SnE1AB{g|Hw$cmcD~6eQ=!z!IhN^fi4MjW9sY;JZGf_KJ#CrvXQ`m;Uai;10Xa2SsF?h{Q{NgT$SWTh;G+T>G!#&B;@dGetN&hYQnM{9Ia!9EaEvw-ZA
zwDteO^(pAZAmM9^Qx-;Q3ukSSp^o*q3I4s}or=QBd>}NTAOlf{?X-nBtWkvJYT*;g
zF&q^x4fQL$IL?cX?J@bO5xjD;wl=d*tzu#7wf^
z_Asaz1ttpwkAISOH*S0nG-mKxvHRHiymydGQa+aC1P2wxki75|P8(nZ_$!~~G@7$z
zN-#1ZhdWy27h@_kUTI1cpf9J5y_Gf3UhaA6eXBZv2-KJ@^q
zYRLIFfCJ)a{tw#+%8fryUD@3Fq2J@I%VRy?6@Ve!2P6>QZowqwjMGB}p^l%Qj&J`f
zOJ56grEpu`Go&nt=R$!|$I{0Zv#fH!qUi2O4CrL7Z_Is*e&oQElz2KzS
zhlRgdxFu*TTXzHUJqjDbU_u?mwc-@L?n-cUT!GkQqSvkl#f)+2B?zkqmPS7h3ts$-
zTCEq?22Nka0Q{~Y)O~mqI}(xvdj`&OCDCvppf=2tu)4qOR}wOnA(2)*F=a
zBBIwx3&yq89orJ4F%EN{u!$yKjzO2hggVMU$F&@DLS#e09!IHkfX78jLgr$(Q|%d
zV$1tsVRr&vv{T_#d5hoqF6&3c>P(W!@0pQ6$i5s3BFDc)@(ok4NrAqOn;&)CbJLF;
z(i8dSr`%N>^#pJM5kIyfmO4keysZvT%qHo~PL;h9i!7K1UQf05f)CAanrtb+?o>ph
zUc~1&`Ji|MsRbJk*H)~K73fy?iP?<2tL$f|{YL*)^_Sik&~b|ISi3Oyp1T+5RXZ#}
zVaW$qq3iSL+s`-JfHKrxWa4v2Epl{keM=Vp5srv^oI#GE#?Z|D#=%F?G40zNz*Hr@
zu^~tl1L^7z++-)1SGg5lpLz2+beWO3*RFe>tMzuubC{+^!383aCX9DuA-_1#e=cqS
z_(UTnXJz?1FCec&N0O6sB;7(xQI#&VFLD(~@F~5c-%YWgFuvZ51#}!)n-Op;r5yuU
zj^p;PPJBnd0v$VD``MUyb3~lcn|HO^Vnd3cov%F&gXz~cMn3BGr@)oub!3#Tw57Tg
z`2FiV+&@|(4V5O^JPy6DYVHYT2!FkXD{VKmxN>%9E^(TzVOE@F-L?c>3^gi>9L(%R
zS%~_7i{l>=YOhY+0REtKoqAw{Qc+1G6kduejx(==Uf#V35FN05xI&PL
zkLL;Ho(R2!dx`6fw@esdl%rQ4h$}`Q%R>d$0rhgW&YBoH-J%TZSIO%UwecSW@%30Q
zB{g*psLLiKYi
z9>Q+wwOm0_28`57+bvmnuKh9`U3--taK1-wZX}euQR28PE=kgXV>bn!fuk4fMqW
zk}dyQV?aQ_!_4!Y{;6Oz^b#g}Itl)7C~5!GiXnIdBmzz$P(r0q#*bl>+ewi}H82U(
zbG9`&*Xknzoom`XI3W2dBFDgyj0&LW#R&bC{~9bjxj34d`dy7X4mfsvlR?GOnyF~+
zvY>}lML9Mk%~al%|4->yxx6UlU`sRRsSl51W<~U_k+^@+4&|zwEcQfNK~{5-+?Xlb
zZ*eLq$UiGr))dV>mZPE`^E~u_PRW-lM`7;H#L>NO2bI0`0N;Uz6s^uPl)zrL|DP5g
z6u0=y7NQ!4fP#1O)#v(aQeHn(c{2y?EYK__uC1;8PtFR=Q*O)a-(f=q?Vu@M&(bK_
z<2V@%bZibx4iD*@kwTl=sjA4CRjyx7g{(@n!V6IW_hs|*9S#5`0sU~}{T&WId`bgg
z9M4FxW*pKgM~nCZf?rvY)Myq{K~l!;dzddC$dM^_iL8?l&49y!?k3Pm?FZ#9^lf}Z
zJef6$UOT^qY8~zz9gQ@VO{bVms80T*vdA#d#^sIskv!vBZ;riXeM9hxpkTZ8
z%_EL-+5^V2%mLj$TD#MNYmLgWB2)P(T)<@DTSJfyUg{m$^d9-r6r5qJVQ;?!`w=cY
z&yzi;mNu6YRUp*7RhV6be&!w8g&2<`&rnX6m|kB#dwkCnviz1X+1sPBMvBa|>cAxB
zO@Mo(0^EZZ@P5voGoJG2Y^0RDj#jOB#c)K&VY9%bK^z#XiEOz%bZ{&*9LC!AN3Wr9FOd1VRtf?X=zE
z1~;?Sc`E6s2=|Amw@0hca0PQYB_C_U%F0-vg^KWPzw*CDeKvwkwah!5XptvA=&T-w
z(8buVdHxAWUNNfT=wJ6g`e?R{XX6B90Ol?v&-gL`~(BXx{kbM)}02;YKpm`L`8>59ymuPnafzTnJTh`|-
zt1$M|Tc+HC
zk`hVF$Z4X{bJ_>J_^9a=syQA&3dkP~UDFg!yi1+Mw4wQeV;W{(%FRl*Z2alj1;A)s
zOVmW5!~;n}L!|>1psuwgeeQ}Ccj8?90f>DsRyJMp(w%=A!$)G6^r8^M?3FNHP}2riu)o2tm06OU_Oh?uF**)BVi3Fr0)f5p~F4
zx(YMa;&p#>S?)7T6)h;Pp)vI<({zEStzNAegIJqz(`~uHX9ZX>K#^RaSjfo4L^pLf
zbbNi@FzOX$3-t5^!FZq=a!DT0C^?Ehzg6I&CpuoiCRbecOy;OJTggu=_VkXR%2Y@oeD{;UDGqc1m7`zf^b)SN%%`5|
zN#amK?sOks1NuHd%ZPA68!17|@-r5wa!wr9b%j4V)BNMp9RPgEs<+PHYJRMBj8(CB
z9T7eJRtO*f9CL+cfC%s4msnQGg9bAWK+(Rq=~IpL}}yOc4b#wyh9v{;u%t-
zvrGJ)%|!Q{!LIv;8(o;Q|5HAk6P*I!eU2ly7Md5jXfK&nxA0Rmxh%;#i$Jy*Z`<5nNJQH(%wW-t{acb|%!t3GmM_llnv
zm52}%ZL|yz74bYsW;>w%$NIC&Q&M{9BdR+C*v5Z}68PqGW+G25JXyVz(nh%!2e#I@
z5f+Zuh6po=T>}Bvssx#Z*20@D-R+OYyXx{NK=f;7yWuGYG%&$fj}=Zd-3RS!>n%AqS%)0DV8}nBIE>W({W3LX^0k`P*{5aXDf*AG1ho}X5pQ*FKWKY8xT>w}RA)|MMXaCsD_4Zc7`9QikdpA!t^VoO$0Y7@e^v=}f6b7%B9VQ95YR+Q+uxB4)|?m5j>x_c
zom~4V>u#T|%FnwZk=i_hJj#Nk+hAY>cGXhU0wWX+$KAMB9~RY9uxk9l0M=dl
z&99F9-G^oc?!QaJot@pC)Yn!9=IPz#p6c2g81GAK5pzW)mYHQ4xE#c|GTnkspDMrm
zKs-x@;yK0~+ClBdK?wgb9$-OgoM%roD}RP12ZPZtm^kot>&XY{SRzMVI34chQKnFT
zosBXw59q5P`eo4X5ZJmoJ9B%tW?JzKCUcsanG<>#Jpegbm~QcOtd-}?X3
z!Icf>%-_An{+p8ECJ_xdd?KtaH{B@wcFK$<%
zsZx=fPvF`zPs%1=;Jw%wGNvQ8TXB3@ffSQb_`*pObFy${VGery~&kUPe1J()c8ya+&Wo_|cMy4NPt89AKNR4y*f
zzQ}WoFwev=J#+`lG&dQFU--=o3`Vau7JMP0BJC};Y}2kLwH_{o!TgV0jKc_FRR65j
zhoNeEmm-y-fbjf<@nIAfJvd+Ryb5zWE*3#FPDMkb`$y}8@zWXWb1Yq^r-MT7*hH@U
z?dbEZ2)_06{!F=PcNi`Szr!!`1txX;ircLBp%3Z-zdZGespJc48Tk_}I>%WOiA3Nn
zMlarP7aKae_9xXrCim7|QX7MW=8O*HN%95MWyfBo>E_k;OtVOD^a3}{q=jYnuV-LzPSyF{vW=y%@o7WQ
zO7A#}$Aq*So!2+tGb|a)L^veg?sq>?K;w%R^z>5BMiqzN9A(qc_xk;50*tTsudP?z
zB&vM^#p@M^XDwMfbmKjknL%{LJCqJ#I?nWA)JyCAKtI2K1pOvU1I3?_&2=P4Ds1T#
zgd^AYloTdv+6bZ$Xj|sLOkL!WtGxLP8FcOd@D0rc96Ql?ajdS&Pw8`AH)Eu4&PATj
z{jF`2(sqz@zS|PXF|eGMZ`P0ZWcYQKAlH5-oSrj=EL}l_t{|EpN;Zmi1gsWV`iL)S
z#uFCRzakKhn#`<%jC8-?6iwq6uzm9=cI)ZER-071Hvqek@B~l5(*gyreCu
z{g={5qoe0RaZD5K$T%5VECeMip|VnC`x{M@9bc>1YMgc>WUgvf^18h_C0!bU6izb8
z|1TFnj}|3uEodNevGOzLo2MRz=b^5}O=ev`0Fv52yp*!V2uklhza6i=1hZE^b8bzM
zpnPc)!)D7mof(H)*yLTEXIu-zk;+Bt=2OP!Wwut-JvBblF
zu0^j)fqzHWyK!8rvRlk+ULU84HD%$rU4MRN$&lh~d}Z_d?I7`~kB&aWZ#-3Pf6hdW
zPfd2OoEi%+IS@y3M{Wcu$KC!;dd-Pe{YM7pxTEm38eqzssluoWkNn{wx_xwwR;&@6
zF>+L7hb5-?Mo@Ub==<+gA%xM#fT}N(XL-2w>M1O}|Iz6!JIIn1jG=oXxiwk&uZ@YW
zncMQA!gb_TUR!YeF9QTy8jJ~(>s52;^@H~FLn3^t%mqd)xsS-ndwQq3MZUQHHu!yf
zi5B0&xfNd#p})edDKdf;pTr=^}DCOVW(e0cS
z-a;Ks2@sS(1K6%i4l_6Wd7xn|g=VOOiuQqSU4t)vr5-i8^@*C>|#o
z127~+lG1G^)r{=CUlL~c3)$fHPgUXe&nH$tJQwQdg!an-ss*n9cU%v7jQvlGplbL<
zW9J>AsCHmfXWU
zjfOh9ZTw^x
zw)ATbf9yLRWQb>=LGt~ExupP@@O&%FHzQv|BeLHb#5mx1tErLM7oy_XVxBml`pTKt
zF&>zxT8P9MZ4Nw#i;k|?hl`Qj~aL?N(+E+x1SCxfjp9;3rbZzq%2uV5Ng1l|1
zp1sP%Uw=}Y8SB
z)Gu$SQ?>+DN
zm9lbkY08bDL-G#*wtNL82}AX12;3LB6c6TWQAB`x%_&fX-#A(8dNY5$GBB4F%W91qx+R1iC^zm)FPk48o^=zH)$#N~1GpcWhgON6#!ep9LrZ}6T
z}tk0B{qXuJRK*Miw)y_W6oX$<6j66!M{AuvR(AuzU%w7S9VIquJRP#q{r;p
zyD256S}j83$n4ABx0}cAqDcSS*zTu|z(P9G>RR>CV!GPNXP(fhh05lLVp^amZfJOoY7aPbe5wO2V
zpCN!W_`{fLK&#o_p*lHQ7YhDDqq{$pm?}M=r_L}iGf^Yyj**4
z3i)GB{tFI<`#xwT`Tba&>Uf;GeRl^=O7X$25aBr6q?ZVjIu(m%kO6s&49=rlo?%g^
zXV@QW#``Uc>~n+wu^o4pscv;fZmzGhx5&D-$lN$ea{M@aSC^MtP6tlGFxXgFXdG64
zyd#KqC7+}x-hY-CRikDMKxauZHZ;#+&yHNj_ePdJJB8M(e~tV^AwasJ>wHus8ssi%
z0?x?6=&w6~gOwot+AQ?lNwf`oVlG{kjE<6&68jX%&A5mK*~{S>>E^2GRU{mXifEFUlBELDF6TX&*YP4ES$A
zt~`9!H~0^pQ`%}84djq!(N|?eU#@norq&N#p%NX@`{L){dIr`2lztgC#?oq`2QwA$*fH)1762NLTqoHEJQXQXLHym7FNj
zT^E%|O78RZDW=lJP6f@_M1nC|)p`nl>{Xa1jRiUGC2q0X{Aj
z=`%pXB7xY(j1~|))AKxiCrKHTHkzzJYd>fFV+~Lj$lMQrhh8_JG=xD_JhWQ9y_UCt
z0vw;y4yNycOU-UVsonCp?$A{w~`iB@vWd$!L9nq(0xyQ
zLCu{OUi=;x$;*G+{+H-Hj#@b`k#z@9@}4~E_mWFWr$#%
zv0ju;Eqlk>5FlP1ErkPeK>ZiGuj&0k*F$~A9m1_p*$mK!8=s#3=d42iqOlBvJB1@z
zLG~&`$Zl11Tr-`D=m==Bw3TRAH?tt7o7&Nc_S$>CMRgO<+J49tDqD9_km$iSD;Cr4~*NCZN#^4GYi*0tt6muBYUfoUc1XyD@I-2na}>;R92qkvy_-9WQitjB`p
zyU?D-0{~!0ZquNxq|>|oa--ArZm6YQgz;cvyFCfeC-P}qd0blA!mW546|m78y#dTe
z1QjN`K(8raZ*Q-#`ERxXWD~Y^sjH|6SV(Xg5;m!REmH1Wj-&X6h(nMEYi{cC#|$P^
zbhd}4l#tn+St;kTtpW06$Be2N^GfL?jR)aw5_x*4e--Y0Le0BH&5Ov}gC2Gg&#d5P
zFpRd&I@&Br9;taD-^f0|FIsQ&a9G;bmKD09p#MUusHm8c7tZgl4l_H$EU0kYKvtDs`coG
z(&}nQdQo#*+un_65p>8b;6#LA+yG)tpr)Q10(f~h{mS0{pmFdSENq(GMYVz}?tton|_+&AF6(Hg}c6kVep@2`!3yPh41X+iG_IEhY*^&gSJP>GMw
zEo+;xFd>2J^20P-0cgV&&N>T5yb>a^Vi;35FtRBP)YjmEr&hYQoV~YsDcy9LE$HL*
zS4!*a_dfch9c7{KDwxwWdpVQ)$R&kyTU(>YDuO0LaoCLlrTJ7ubAO<=S3`?l8V&R?%^f2-dKF1l7Y$OF{XBWEpb$u&EFhfZl19B2^nTz2YB_-lJwBa>&~p_nZ@u#Ms&c+KAHJFj
zvCDh1T5up6$1b
zdtAVDP_>`h0QUD+i(1qXR;%jx4CR&El9G~Y-AL~JXsEt@ibb*3_k3|&{4`bP!9~Kw
ziBPjF@?4U0%bSxzu+DIhveu_N`_WpU&Iy_0_jF))9SL<0_W^z4j1v-YF_18p8xTNQ
zQ^FTNG1j00gMj4XIg^tN^Bv`Z2fifD3Ds;zuHb#3R048ctJ5N<`A19Br8GwOZKnS;}p-Z^HdqY
zLmwLFI<@qH2$!_tDU$lC-3|3&
zM_*hVb{d@VSTZwHT#hrvicL)6=mxR)mQbkC+FYoarO7isfGh8vbys^VEu13m@+BlJ
z7ng(&zb#V<5eB3;m-ZgASXfxN#KiwLd8RoT>)f32iaOEP35^%W(UBzl-XQEz@}w{#
zPm%Y{|+$JWdyv*@)p~0XCWn@%ai$5Hbz+_j(h1WDjNY
z9fJ2`oRD9rxS~9Bwq;e7HREkGrOOd-YhQl`!H5185mO$8+HelCqnr=NXD(?c78e@+
ziK9h3BZIbwR1`#7gVC6bO&B6ci5bs#9t44PB8v{5Y_S(%eRT=zgnoWC{)raE$Ek72
zHA|bCz=xL|vIrb0|o;r)+`^{PXk~$C3N;7vO&4*94UQN*r($|CU{q0
z0yba@`8pcmbQ9P}$OYQHgWhBnJ4|GVPv$aUhZ89FDAZDqvqb=K5vdLmH
zft`?2obB-!u$+%mR8EL*J9xJL7yNE`R
zFIapp283g$-FL}xpIvZli2{0X%bvS
z-NU>qf{*z6qE=qGgm78wMW_N=v!5vqUV;phOGAq)2$vrljfsXQ5_k2NE5L!${^rC0%smkU12v*rFMtx>K!t#t
zM;g5DT@Dt0W7xLb{wr8D>yM?m*`yN*4JPw;?b@ib-T)HWZGh*_cI0MhVQ~Tu7np>E
z1h<6z*;%-PzIs@#(^8w^&)|LvIa+mUjT(W$1&>7+3777k%Z!mNzo+BHzucHXZoU{S
z*C#syRx*sW!zjqerKK6!d;4GVz2NLPEe^m+J2G_-(dQE*sTSo4Us
zii+QizRzorm6AhEmkWx*z4~
zE2?M$z6;;3bi}lk85uNBmUg|prIPmHxE*W)2HQ&XP58E#qC{e3QiyI9!Q9pgR;;i4z!Wh9Ib|fK+J2?)e}kV
zC~RWquyYC@AO?EEgg~l|wDu6x0bNki(cUSId?Hk4u?OV(>5lvlpn{93tlUIbjH&;{
z9e|RG=7d(zr!^;=Nu2GX)IOSJv?KtsA+0D;#{_Oee?to2c{>-WNAMKyN8#-+*Z+?QLvtd|Zr%)Qq&9zxIdypcv#ro#SeY;@+FPp^xdepc}
zNqTqZX~x*UOlpF)a4E|ybpOr!c3au&FX>n3qP_0{S^`afJti>F$uN6kjdUPL(o-mm
zb{gStCn}DQ%^;mcS4frdVT?O#eV(R};TrMGsMFIt$FG_lXx`wuPwiwV5z1%1EzAb@
z4T55xbS^bzc5(=sqXXPNA=WJ}Toxs#B9EPXC_K4igA&GwJ?Ane9nygiR!7qx0cK*e
z;>s-4g&7wsu-BUxiq{h2#60c1-Q~7kHy57B-@rjir|=TF3GLFzM|#vHVX=#n9|JFG
zKv2B%;%Z9yD37ZNVM6dmB?8Br91I*e<=Lw;*bkBbcY}E!T8J#W6ZVb2eLx*sv}foF
zyNJY;{{~#)2vzYQVKk3^=>rkf@cqY#0vF`JAtZ38rgmSx(+en3t6q*AT5sth8*1@j
zizEkz64lgb{!MGUJ~yMXm=C(@s8UjB
zF-e2}N>CJz5FrH?9AF_)oX?|kNkM)Q{zcz8k0krTAfO({4r&A6+pCEA>h?$gftia^
z8B9fEF5tE2DOv_9D9(HD#+I26?st9(R(No9$)!
zNIkNLmJ$WbMLzBY4KA1Dn-Z(nA{DYkl=%(cV2i$)qfkdY*rLlBXer73(0Xrbcw2IC
zTvR)6c%!!d@Nouu4En=hg2&_m!9vSnXxl=WsCW&1wE1^jW)?16ES<38A6*hEuSW;7
zC_Lu
zM1)OQ_v0n5xasPsaHSoHy
zN1|%l^z{1Mali-yT~e~UCy2kn@BdKt-tk<2atj=Br~v
z-;3*uqydygxgTHR3w~hbClaL!XMESc?Y(3Yg9*W9
z=*%uDbhe>;|79?;t6NqSLJQAfKF%^ZE@odt@w9}*m)Sd?yt4oY5NLs`1fUz4SG1}e
zgSrJ;MW%E`L2X^#al>FyK^{=n){E7y>>zG*2GW78DzF%odV-UNvx~Psc6T5FjM3TO=x!F{Fw<+Zw9
zk&d+29q&j<(;k3>{F;fz7E+@Gw>py_&{f-+qK2lO1l2=Ue90N24y+@0G2g~SvF{dm
zv=`i%2ebmqMj1QvFWb$J6FWwcbn4p?&>XMOdCszeJo2z}{77nQ#OYy=YrfKnSQ{A>
z1HO!!ehhL5m>6Tpo9z^QR^IQZGLl#5;?BSgz~P}U#gDMCNPK6I)O1|l`UN#6tkK#%
zcdUWbNm7R$6d0cLQHh^#3JPMeCSv772n#y`4|2Q=dlAaDAO+*
zusHz8I9~r+n}wTmG3tiRR1H``*adFx4)THwOb!w;VU{h`5KR-$6wd+v3k}PXXoOCO
zowGY_&Ye^5=5RP%ioxakI;)~k{{c_%CQE9JK`b*?!qSi};0l-&Ny$`>MKqY$Gq;N_
zH$!Al#Y?sSBr8gJ=AVVv)O>+F)EX6`*5MCTQ>Arm9_KZE=tg)&TZF(o<4f!9IP5AF
zU$~m|wfFS}#nii@9CihbAH!wOyt~_P+~p<6SRKcNE{~6u{mFkX=}0X|3;ub^>b75=
zf^XMJ7vg`7ei27wn!0k(EWyE1B46<4oZMaP5~CANIXDDN7DNCWwd!I=leiliJnb{G
z-KD9HoBYf}c?RqaIr(e|YJ1Sdse}j(4pWn@Ok!t7$j%=a5JU>$^+ih>`vrkN?#wH_
zcFEfFtL3Rl%_RH|{5$V*$+1+lR9SMaik#_RQ7#JxTVQ>~&&$Iq@(f(oKgizxwQ!oz&O6VSh>P<+$wlhp=TZuagq}j7_UtUsV^q{xbh2MGEn1!|uDK+K
z6&sA1Ho4z#Lcwe_f?>sq!Xk?z1KDIroi{>ntTyQs81OJS;8IF9#zM(m?TN|Oh1`y3
z?{S+^8`HZ{pr-t(2_AIj7NGW-=X0-Sy&T3M>Suf<3qL$FmrSi_zclP{859MzCBkha
zxn}=-RF1%Kmj`E4js6}E_bYy>WPo{j-X~wOoPLIV$?m=lR;a~E$0n_WAd5LguJeaF
zn%CRk=K;k0AfK3b*i3S^ck4Vs2?t(gc!ZiL{2+U?ORyVOfuXkG}?q#zpqVPt1!q>Cb+rKf7WbM|-#KAX&db7FMAQH5%wGTq6+WElZKX_i4fz
z^`&?$SSQ|J5sDV1BUrfnF6=yRL3(df!_$)hVLY$^j|U!Sle}tf>L!;^yY-1-Cm!F3
z8afKB4_|au{SV*tWlF;B%E%<0T0x!qs~S#|tLce)nJaS{+{zXt9=wQ#VARBz^Ssfl
z1^Y4tEtOX`GK$u}5`@*1C;ob3`{8bj>AE^z;!3$@)(aWMD8J~O?-DxM+wGuv(^mRE
zO9Y)cXD6<5gOku2oeOv;VtWbWxB2j+wrbiz<@#bPzj%KMFycWzia9whT+
z$>RzJ>fX8e6C=hdeKTIHpDOe;oH3uTYE#5>tDP$>O#UjP6uYb>bD8#ED~jH=*ujpZ
z#m%wlGSQuPw@62NDFXMhf{r4eZ9%lGe8TQ?c;pkmiyHFMlaL6xmyPrZCBKvO%QUtL
z@&gsl==UFt&cc7x>$P){A@3u6$Fq|KYvADzJ*N|
z!MmFmuvkkfv2mV&%UdFeG}TyA+O+k?y(a(6+A=jH3?rjh;-`D(W1$V>lATk-`tHXA
zv6EkzPt;i8MPGLIdtpYAg>9ZwpvL%sb>c#XAZ{*iR3dMCwB#2NCyrzVO@D@sx0(zK
zQ)WyuGMd-GEVVwSLDafZu})NCo8$)a8d@lt(Cgjs5~fnTc`YqjJg>p|s4q*rPA!ip
zS!mIO^ZV~FHQbh6blg@v7J`70qR1M{dQ2Hh2i2T>4!B!Etvk9C(W@RI9Ba?t_&$r|
zBKwj^xN!TXB#SlC2FKyK=+kObg=)$+MxYr`?3EN*Jo1GKJQVo#SS^bXQE$t3iUP)D
zq3_B5jm|`=yctZ^M7~aXkDvJ!Y^56K7)P#!=)x$Zy_cu~`
z8b-@*1+*n=99s&#C?RdZ;vw0T+YI{$ev;1Rx_SFsPmN?5x)5;
zUm^QMPp$$z?(ZGLQY@4-@n;3W&nIh6|qON$Dc
zz4c9J^7{q|u=KBuNqXJ6aZCTE^nfhiPRvp;Zsi$n-%yCJ`Ram$?r7PycGLrbP5t-Hxcb3}5j-dA
zd+|WgPJ<~6E1ES-ZXt_!G*-iOdJS)$d|iP2v)~IPPd`%1W1u++!7Z^0pwnarfEVDy
zT$|5K>Qd6|fmsFrwNotISW*b2_f)A1SASF>;idSE?aBw^WJ3J;gH1P!NqhzWZ1*Jh
zslO1;eSuuE!loo=>%(AhjM$R7
ztp?OrqZ-HxrhL&eC)J>XE*p8!dkSeAZbmpU$apqFsNZz{g`^fi77|qwqaBw|942gu4{!#a`bF=%J7rEc%
z>Tq1x#IJ}1Xo#7?llLH-^lBEV8Rt)>*Vy2E)iW_hC-n=NK54xU2rwW0uN6!Ue{w0$
zXgQGSX*hRyCT5Ai{Dq8Q=sl{#z6y&0-wv}+N%p_O?5c0Ite$0D{qSs%8xr)GTRQ9j
zQ=1vnLB=)qo~e;M>rZ>TyP{u&VJ(G^BZH}*^O}7SNmRSA`KC>Xg=b3MtOv^|s~dv?
zRRgs3U999yeX|;0IkKGg=SZh^|6`y
z!PY(GbSG6VaQBdmAj6(hfq=T&)qc#-4FLk%kP%QRR0qhK$7DeM{q1+=St
zW=|v8M11f1WZiBe2)tW1axl5}6uq^EtJpOhaB~L)>tphVNGu8HK{Jk&UEuDnNV?Fz=*z6Sg
zMyH_53#GtIe#L(`*Hmw~!hw^NK?D;WO_h7U?yQ!U7VB1_HGQcy4ssTXe)QdzN{s#0
z)Z5AT!zKJ23AMrstR$0?9YRcT;#tU5JB-;2>4cvN>Dh?F!5ZJc(ko(3t)b
zm_{B9yuAc){GT9nG)ZA0`Tf1V7(TBfcLHYHy$uViiAqYZgXwdt(4Ky(Y{GdgV4AqG
z9{79wpigljuZk4LTr^(pzUBk7<4ih}z(k&UIfaFf2Up=WHXPhRzdsd|2)inIRGAep1fsq
zb93qw^?h6fZJBI@AuP!`+!QxICWtz$l;nGmND&+W>@Fh^$6&VzWf(A5{rU5=PYKTL
zw%#fLrU$Fx0xXz|M_>F38vZUHXKtjpqqvV>NZUG<*%E;0J&pD(t=e>4vG3dsSb<$GQ8HoZQb*mqDE#MgGa_=?^3-=kT(1_Q%
z-(auw6LH08h*JSNM?&S;WUa2k06N5Qs=?3P+?>YAitY4AU=$!lTsFVx+_D-2Re))2
zBHxuZq5Pl)vPMD=aa`y7GIp9cufsF1rky)9f6DvfS{iq~>B&9_142tF5?-RVnT;6l
zkPGka{+09C=I=`jGA}MU*`3Tx@W+tE-#7d2Pbr^!H@->hWna1dajs}}ic+2@SGZ+q
z;^rrlab
zSPO}`$>_T_wA=bAssw1U0)ha|T4$sI^{%w_aC2qG$XC`FUb!hKxhQ{NL^s5%^1a=U
z%eTX7e#M>y)9M9yS3p4Ka}=DA2eWq8@nFXe%_FEQh$uV%jw&rZPU@A?6!bx;`
z9}Eui4grl!d*dL0YB7{iT>rfVtZ}EHBIc0P|IgK(D?68!LdXD|6ldiidYG1g+T39#
zPT|5@@~|X|iwHKKCGBQ#FezH2c0oIrrsUwMv@{M{gW<8iHTBhP8Lft&O)+`^xf&P{
zxzIzOWvZ9<=Fvo@Q~8hhM?L-hK2ZAQE0rSOK}~>*_OTj*t_%bHTyoAbhDt{B`U@)LbCSe4w6YP)#3vc#$q?O_
zA8|k_qsTi2^H=?Ia#({apgY(OGN@CFBgH%8Kd%cvxGTcY3>D@Q)9{hA!kWE;)}5x`
zIE$bt!5w-bKfzQ-JFpTzJlsHH9{ZTuwn{uofjOd0
zQjLOunaMYHV?SFxa{R3Wv~;La-~k7ybVv|2L(n#j8?&of!JCyQ%CJf^kN@f%AqJn2
zc?HUgXwdu{I^tCgi!7AHWHA3eni&ll-TEoOh$S+o=Y-vL{cTgwWv&#}ziDw0WLAI@BbQ7}A_QO{Y{El+rxovMy<3^caOn
z0Y{3go3ehhIx017O`mWoI-vQ7C4y_%{)Y=1yLr8K6_I+dOa`qiH`FLl?t@0Jqn}>i
z(HgtDgN{0ije}j9v*EXIUh)nzq6t-R5d5sRf4gOc%u=jz#GWwFo-nc2f~
z%w)!?e``Kz#<54oI}is)UzsxwSCDXZ($6Oydv8+DIxPZo${&`v+Yg{HC|1JD^J7P;
z^U|FUA3jV%?OF>u=IzVTA2J%fK))^%qB7+8Q<^UF5hijW=G#u;
zZB2vYA`$ba2MmZ3`v=;5aY>nslw>SbsFQl*_FGinWAjVwl}Cd;3imTDzHiL;qYQwy
z8*^&DQq1~JU$oMKy`T`Vx3||D%7;@^Q?Zerp`l|U0%-d_;Y)_ZP!ZQ!S&w-k<;$oczt=KqR!QV>V@*1_3I7<1ljj<-W!HgLmH4@@u0=~{7=Kc0
zEUkJSmCCVU-y5p&6qTv{+kT0TQ;xNLFaxp(e8Rz^-O2)SO)!jB@VDK4;Nn9I3!X)7
zyQA?D)g^rq!4W|vrIe?gx8E+9^Ix+4RIdAjo-XmvL40NqQ4|faS_+>nWQp3lcej%o
z-Adja*P~@1E%|GS3l7zXfvt>qBp5n6x)o@9&3kX7Q~@$uW&_%B|W#-Xid@SU;2J0_vMOX*INrZOH0eyh8a}Tf(U}Adp
z`L(c0d3QLwqW=%B)HSuamzpV!=~CY?RQs9EMagpqNnn5xCK_U>-2LH5>>5G>QLcT5
zi;=>0iJxn_Ty5;`MuyTdyS5&be5v-TuU?v8GU_!PGGe+q(^r&h;c@!PM9~jRKIDZA
z3zV&Q?w0FgXU_kAa444=UEPC;7vh}ljD%6DH)%=>ICetl5%<)@b_3-*LB?LDk=mny7SSyI2R
zt-CF`c(*y0&8{7;cy-8M_g1W}v9c#8z-98K>Aesi(0USVhC-{RP5X;OF7-<{dJR>h
z6f#0@bG#k@JVxSKfz`#y!@W`G^X*hp`RV$e&lg~g=@x1{R%&c=xBsl?-#FuUDdO<;
zLha>GCgM-tuC2T5yC^AiiQbesLK9iO#C3Kn{Ysx#yjoyLJA%wR(zTh`w|8r0UHZA}
zzDy|*X;d!9_6%I`_rf;pboa9zW^Q@ka7HR-@pU@r-z`QkstEQc{CRU(dx!taA;-Qa
z_m~5rSu^*tEihb6+q~xD`1KKb2+S-W4}Bb3hMPt7Ue5MD(&v>0D%x-C8=8xRyOyoBxiz)?@)p3%8c>@yzvj_Y
z({h^oQ*04`#-FDmfj7zP&{mxJ$?-AK5RuW8qCq}e*?2v;>OQOk5hz`I%uDy@Rx`yO
z)gCQ-BSkzW0&!d<_u|^SWjrHQx=Zx86Wa^gL41CP_O)s1=tvJaAy9ezd|E{GoML4D
zI%Hf}^7)W>qjX$iMM;HvXIxD`W+^U!sxumR8&3k$$@kUrN8K?Up$YTXg+@x-=&1c@
zenp1pcb_4^O|}>r3wIPt)bVkz+{{&#p62P05=)fjq3T#Dmm)p0vG+$m+t4RrylD^e
zd>;{We_J-&bd8p)_r#QI=w(Mw@AMv>hk8S(3o_KsSaKrg0tB^HsapQ?{p;&HJ#s#0
zoN-1by9AX&6eA^C?4aV^|oIOssKEp?FEWac=s5c
zv9MLi9U;x1#+vuwPaI;^=r14ba+{$#MA>YBVC`tSC>6tz@$QRyM
z0Mz@J4Hg$~wFTTM{<=_W8~QaAxo_9!Nng)Aq<
zc+V0f%=Pw?>x9v%8Yy}|aTCOKOwMR;&KV^B@kP&oI)^d)^|-Hqzi@{m
z!l>o~c}@<*U)Tt77_uOB~djEd2QX~>bsUN6xu$ac^
z0bq5}PdyNaUJf)SD72lDLZ1*w5eV>okfLSUOpB-bsoB|id0UkPGBeWuEcs_uC@_aU
z9w=*H>*?u15I~uL&E{+jhXgdaA}DAhc;$+#K3%(CrbSkEHdZKOC3Q%P_$9R?eCgbe
zLpP4Jp*l|WJT8-45cd}(Kmq4JTL*iq`9P!vx57Ij7~LvTR8WsM6cc2JnkBmGH%0tV
z4TEB&sEpwLN2vebpM_E$`{Shj-wU8+7^p!1mq1|s6=*6nuht6TPimH^XQ8Lnho%OE
z8}up}vhq*BK94ujYoK@j?!iEgK2cbUjDYv#1zzcStLHQUSn>E=6a@Xgef@YN6NI(Z)NN^+>;mYi^%P_n_s5=+y`yf~Zz(`QH8^^R9sQ&Vbi
z&{anp?jq3epGA^S4!oA0c%8819b+hI!d^4^)G0(Hj3_yis;C%eYat(NG4RHvsd0_}
z-p*F(_KM47I5?qNU#5SvHilWP^iL4dhE(W^!L`?516+*?zJeVNqlVRUm1Dza;yEKg
zmSD(<<=YS{i&hIgTxpK1L5(sIijuen!uvk=txs>P^d$=oMO@NgCpFJQg24b)1Jnf1
zFuyIL6Cm@Id&}{aKk6BQ|D>jNg$7^zs*5q82bwO#X9J-+853~Lq^#3FH_Ny0o3M=v
z6F=GW9>)N^izB<30R1LrLmADyVc40}ICzGz=Zn!o!=HRso_A
z5<8gB&iHo&y5ULxdQZv|s8Ko%|4A}72D~V11y(J;@GJSTo7)|q{EXFj4s1wjU-Le=
zBlV9uSjGQ0&^@rCPWGfo%dwp{x3p}4ju4=W#fPK&?Fy??5(j(+E>n0&Jpd;Ko`-w<
z+Y7&cH#0sN_kQt$2%Vs;;dwn(3dF+3IR7$BJmJoftbt)SfWhh?agwK)J8V$|8bJA#
znFy8d0L*a2$H&Vq8OL*=JnBH&VA3@GRynZ&MZP1F4sc%!SvUBT(91GD(xYT4QfOb_b~EfX0vk5MkZ9`&eopSDG=^f6I?PL0K7^wGhSF
z)NE>_fHn}YLE|u)lw`kPC%|r}uB{*xH*e_ZP%9^07ymVk&h|hsyzWycbt~-I9q&CS
z!-k&jH(r}zIKFj
zZU;dO;iqZZZTt5psLZ}q9cbWnxak7qKFwBwy!R?8k^t(4g9KWzu5^e;PD$(bAQV-i
zfPfc1sBvlgg0u>LPI)8Y@S~HqP>BG=X|NGM`GtP0=GX3VBa^8wFVU^KSX*Bl9UHrK
zZ4dxWsBpLYru(>Zo&(C-(K_{2mur8hrDw2(n#?$i;xW@M_lQ|ii(1Y?v<9|)CId1N
zf>d1WaDi2zLIi5Ialp5M0U&Lw>Tqjp_1C-n?}BiqSuis4eip{Wz=?
z6B8?dmUX+b`;ah#y;LCNVrOWf-FtH$4jT_iGs;fs(i|1CXPjy;i
z=~v5}fPrA)Mv=9dj8r_ymXLETKR&;H{_GTD{^(KT;r6!>#Y+_?oyO2)xth4_egfs=
zLz#(#hpB>OSLao{=wM0)CiT@~`3E38MRRRHw$t6?;IU|Y4$$dwJ|o)4hlJO45a$iq(ovOZi?zE&`Nk0d<+KBNfrnS>x!7APZV%v3Jwk9nN
z=ftVAP0)+btnbO#dTG~lW3E>%g!42ZC_gR^4o+5H-q{k5{{>#>*!jdv0S
z7+&uf-se(89C6sac_t~B;8*~O6cq@WA@*mnzt@YM3_b1BD7z=dip=pxXI#pZHgCNv1vxiU(abupkLW2S9{iH+w-4Adf1g!iT-R6aTK(j+D(0<;XfkoGK9
zADazd{tP7amXaHuZG7Bt!d1KTw%F
zR7A?i%q|@4>bksV7q*=<^7JqBXtq3+_~)j~v;#Xr$L3p)_V8WXne=gi&J5PhD_Zx9w6=Q3dvc1vu`XtwE
zR*L;@D?6LmAO5$J?@p3PY&*`-Q7BPyN3r5d&MF1AFux);u?=T__mQvX+ey>)|(Mp|>mL4o*dVs?|ul*sHW1GNgA-#tVpC}s+nw4y0*
z+%T4$?McQEa7)}9zQ4Gf825Ym-0Qf-qRUmqRhK7<8`srt4lf;Tbec`SUOKA&(VwI}
zzQVi~Qc~qL6XwxI#K&^Ge*kF9v(VWScdDGFEIlBV{6jmgfTgp`LyA!T&nE$oJx7vr*Y#oAkvDjo*8@Y!W^Dvl
zpSno}4CU2@do;*v2Mi>s2FB6EeQxcDardOPwk~q0vKSua-t{PQsC*RJ*SuHL!cG^g)Pgzt3=r9cy7WrOJ0Lt4_{IJh)Xr2~BT5o{Or
zirC^Nq6dynu6{gmZlFEtLW$jUb9$X8hvML?xFgTL(8V*l+{*qnBtc?t>aU#*sWy15
z{)|2SxoR7k>-yTPsDna#M}#~7n_%<10>2haqax2=v+`X}#KjOtzw#F8Nqm#1h2xFk
z>GVtH(;oE!yFU)WDD+tl^#?d0vmyl;VU8ZDXlLtvWN{7TmAhA*h4;>1L
zu(yD~w_Njtvu(V%n{(gZcyGFVL@F~yLQE%L8n1?K;*LzZM1D*}L|Q^ZLhOF!Yp2N8
z+Bc=FHxKlPg3fZLRmlJNbh7BBqKTQ4F0t4!hl*3wV)Zq>S;``!s;*bJ@g5>rNFFrI
zU93seIx{kKhI8m_kRLk*=7J)uba?pb_xGx_AJ-k0Lg_;?P`Kq(ROm_j6Ze+eO$$C6
z4=e8W#Yyj
z=3jXjZyHkHjLJO3d0O*zuFmUOrgIAaw5gDAo5Nap
z=jgAkAcK4gQpITYcgd<#MfP}{N={{INT_!#R%Gq>d(xX*`)^7~*beplG4=SE$Y)nD
z?d|O!K-e!DRF|u??7Lr|0LIWt02Ly}FIxaVgq<1H%~$lomnxOX$--Vln6RX%IXgQ$
zdM^$R4l1{NatqR&TYgklQX(I|w!Uthw@lfq5gR#I`_(;>bd*CmOi!O>xouit!P3-M
zx=2aG*}yyZ#XE|FJ}vdrRQf6umoW&!_^EO$za8lobFSidt#nUgQKH4
zhJ3NA0XWFv?2bk~@CZgHHb~V7cUzy2)u1-Dac3F2$2Xv1OY!(_
z{usS~ZjpUSR8)t#b=aLdCOgF@c-ZRr`UE(Vm2?C?zg)aKX1%se@22iwmQO8?+b^!+
z6crWiMF3{GxW{}BNvDIHWAmQCna048i!~&{KpM{ORNE?VvR8Vh&y>z3HAS8KPq6#a
z)*otQ62D*Ys(75>;4X6*Q|8+`H@D6xmavgpkKOBoyI-ss_w6zcpWshk!e(L$%2;?W
zQd1M~0#`C9CC*3am1Nj!Gy}Hnl`USTqseBmXjR8vOS4Dd)~%N
zY|e+5KlKe|uT5AlbksUV{64Hou!wK(?$)uhvy)ny_LKA2tQNCS*SQUiD$k$k!q3wxhGzF|Aggzy4mZxclUWxcYO10CSfBgTca_
z6fn!^@Us=LxiZ)Bjq${{DO-_;uRH3xaN`c3w56h=!sZDUEr&sm5sj>%JMnWs(k@Jm
zneOjDsZ4k@c@3Khv0+BA`*degF)tf0MBMf9dG-u@_s~-wi0NWdnN_c4SNpMsm9CBs
zm%dj$pKi!EJk38*W0t$@eY~D_5=*((p3eKyd3X
z;!4UrF1?tRV(_N&4i`f>V{5dQKFioohbpsRCgd6Y)2c1aCpePABc<<~n`Pk;z!T0Lf!#kBHgsoX-aL)X(wrC_yjNAbsJJ2Yv3A@(R{4*R_XS2Q
zGNg@4LU(;ww+(ppI>1WPo3>UneI+~luq5Zl9%;N>3kX0
zH{U&Tks-Zjhqr2IgyI1iDS~mJ325ZfAHuR#e5jmQkNF{bSkW2J-8LN-b-%~7ZfW!U
zHIsl&#gaA8y}(zht$qfXXW`%LtHj`9*=!Qv+^7Cr8n_Gq_-ar58D%aC$xT~y2
zTIa8qUCuqsxRSOfOHLq?zsUYdW1os*@hjV`7ETX6gZx*vy0VHdr5SM$Bo3VC_~~qM
zc=ZT)b!Xxvl~SWtg6$Q8$pUs-f2)v|xM0y&dNj6*>04P>5k%bwq>di_WP_hix}>C~
z&8u&%rKTSQ+lX*Ys41@wiJk!YM?&v(BF|tgk#cW@z@mjaKQ!w8`LwCe<>RlAtoaVIITnbP0)#I6?kN3}Wp
zaG))@A|Pd?=Z(o_mZm(bb}25dV#fiPc+ou|hMj+O6|rGLr0x{kubTw@Ia5|OMFe_;
zU^-=X2WIOg42*h-1#9~9
zhRC?o5|%9v7MXy*o(}7BSfjwZORXSuMsm?Zyl$#tQaXPE8>Ia!Cq5Y%ao~?jPQVgB
zg;yV!M0{UO?tV{jKXIy6!$Xb8&*TJl5xXlLUHYgcty4)~(<6$rSDKgdwg_?T5F|Y0
zf9`~TtvDMdP<)Hfb2V@_sLicDn5!+YR=oIGfY+1x&+~IxCCRGVc7ZQzlo&4aPl9eB
zm;qJ%vw*J(ztdG;~b|ppi+R7JM>xotnow}&u(j?b5ZC4dT
z$O@{JB@Qwc@{it%5=(3ARov-lpZG0b$A5g?TrAu&zI|d$zb+1eob*4I15*r(DB_2}
zUx*t(NCoJNyAhEf^xvq;iTIT0PEzHq{^w7}<_2?_;2hT9520VO1sD=Fl9PgOu>CuY
z#{?F5<&{VTZinO^NR5n)*lg$Ml%qcE9Qsjsskh_^v%_%dH8YitCkI)t_QXI)h^0#<
z6t(C1@HlTrCdMo~^STAyKxM1(uWX?=i~CqQyT8Ng8sfp0R;l1WAGWkDUuvSC6Xlw%
z4MIAa*&V7SIK1?AD*)^mY8Bxz;oX9+U_!||9n5CLon;<=!5g{xi719N>PnWbwpw9s
zifQ=Jg>LGfGgndZ`)-^Mp~xoh9t-$zTVw%+nHD}+j^hai;A%mw;|$r
zcB9Dsx@*q6nccxUKZ5`Ob5R
zHyii&6Tql}%Kc|O;S(oMnwsI6lzzw&p9=hJZXKN%#s03Kr=n|9ZH5Jd^@8+qF@!|=TU@T77wuf+GQ(yI=)V^ApclRCNKtq*i0tAJzvgHUgC;+
zb|dZ!bw+7x+E?rB3VGRCQ9ajPq8Oc4ZpI&$_uYK{*PSjNQcGiJGoBnX0-g=a&~ZSZkmfKTX9~?niqpbRfk2VBq-|8*W%uP06~d
zcyLd@bP#y`+Vpj1?g6&m?0w55Wg17`{GYEV6N#LoC>%he=qrXmt9J
z1_N8h04k}Gegs;kY)EddPiu7-q{+4GO?0m+uXK1+#Dzz?aShTi47&egIf8l3vUzKV
z037p3>BUCA@*|u{0(iP>tQ6tPhubrvZVIvN*+SUy##lf^h(I>jXV2V0JP5RsByeXL|7d7qVjjDf(x4GDf*zMamHC#y`yMmf2aJ~l@g*3R<0xYFa5*0D?i^-?$!N?
zU?dP3YN5gQ#=t3>Ejv3~K1H?l%MqKjw6qV~JPdLJ`sApNnj24uh=|zaqfKxAsUp#|
zwzh`&wjQa6MyO|dIH8ufk~+yZeDJfAlO^w#**H~Q;Ck2raS}Oc$91=qv1otFXzSP_
z3Gs`c;<;v+`UTUdk!VxXrrX40rL)`nn}DWPPEc;t_Zu~H`W&xN_1w#ozzo|W(7J$l5)U|-A~YPk;}gG
z_zu(lsp7}u;YmsPxw$;@>hQp_ok&ByA&o!&sk1!U9?^!@*6%yS!LJqb&#Izr3oRqnS!jv!{}+2nK?hB<9y7mrB!4fjZNXU6d?tJd8{;{vLdUEO1Pou
z=irJFaE226gsQ(89}WR}6hfbxDTogT$0qd%?nec#i4(qS;fva^E@S*-J77x$7C;si
z^k1jIa-i2f{>!mVxMtJn{Tg*LpI$Fg!-)%s?Lt0y{qd~%bF?q!wv}6Lkl*}@HVrC(
z%>gZ0+dsS)d=lU1PLYYc)N&!<0Ee^pk4*FTw*d6E0E{9$9Zq7FKyAZ62IUI#Ky{{L
zVDJWr6+ao&o$Ap!HdF{kQ|>7;z;7}?2S}5cXGfpVT|SXfxZ2*IH+Wt&FA(>=yI
zMODsiYq1v?g0iL>pFe`@a-Tmxx3(9yz0>{YK*a;P7+%uKj+9PhUqs_#bg_|o*O+d}
zX$E2@t?;u539W#PV$7v4kz5*rCaq+fr>d_At5rcX6=r5ZK
z5KBV}35XwKenTPs%;Acp1U~{nkn2CPs1aU^-vc~{X)wLYyeWVjmJq&Tkgt;_8`K9$
zA@+Vjr`7K_6Ga^|b@Hpsy3fk@!DO33)4?vlskHREIp8ChZ?z+>;_M?<
zF0?}!98h2`$9iME<;NlTM+#rCVuf0diFqAWqrASbF&>8t_jQz&l^a@?hYO{{9U-~*
z=^(=eYU$0Pw?*vfMwZo>wy9|b)Ul?aGeGR_UnV1%gWCKkHtW$3*)bAoRlw2=$vB?h
z=NkD;;yLPC!}yN%Dg;Xeb&0kLebnB;I~)BfCGNZS;Mh8f*yLwtXCdX}nGVTNjsr1Z
zTYP$qzCxZXaO7cwFX5d^$87CfU2>27n=h&6fw6aas|3J1=R>II9e_>R1i~`un>TL~
zZYzdg-76u9~#h!1v1YP-fS!!viAx@{BH==3{
zjbh0l+!o(zJ)S~JcxKh*se2-n1S^J9@fwU9-_0MQUoTvqK*tDgqP%3I#bzP!xiQs%?R;3I(l-D~LCu_;Ut|~ZV#Vbe9ZU!~nmTuM
z18Ci|P>q9yu>eytarOx$A``DZQTD96AHkudp!W^3eL2v*wgA(h{N6x)xo-%guuTHU
z#(eqyJ19lE{_to`GOO&{c9anfp`Xo!Je#0`iNpgqIlRu2K;M=)x#<%fz0*Pew?fj;
zc?LoZ3m~KD=#Tk0vp2mkAGzNc*?_`pxo{{1kL~m7EH>*NgkBER;3bMVDL|;t<;E+2
zXwc6Y7MfKhbm*~ck`Vj!4AtfaXN1gA-RBQUClQQeGpuU+#@!0or39}RoF
zlL%R
z>c>y&LibtqZiEli@o`ZQv1goW3lHSF>hur
ztgG8w7n`!x1W4y!|dYxqiuJ<5#0W{?LV_?w`&v-XEd{
z(2;GjRnAL&;}v`aSHcm5OhR7fhNi<6$GM)lh}vf#lOZvX1_LwZn*z@e;bPmJn?G9!
znQ!?%s4fp5`BV;@fF@6(F6dZJHwVePe*Wllf^*g>RP1cXEp~Qxnh`|m
zv&jSb_x1)5GJl#qJEdU%y(w^xkpS9f27ps;(mtf`UKba^VjH}O}W+A_@uy^+Bqyh|-rhQ)rOJ{Oe0E`Ki_=fWeFtBuh%s<_?;|)E*7?}oC%of2)1p_X6zpn{`f1B
z9DEbMkAFi!90ax$3BdYW&pYx
zKfp@F=5In6vXFE%pCkw^g6M7!d3>x_)ziyHiJ!%6Co!;?S0FloRt-gzI9@?f(QWh2
zz`4B~5PUSPY&up780^OPm%LkhSF$A7QcFv*a!V}f)>*yaDZsw0xw$0Ku_fN0U`sBovG(^*WJsZK;bO_-}2$#mUV94^aBA+
z0pDT1Hq&-5xXyO!*_}Ig*yN#wI2ui=)B5*jOu&%yw_ufk?D#sZgh1ab>#@;N>(@{p
zGkko*64&*I)?cgjAmbl1G`2e=vH9Gj*!nK;H>#hf2xs$aoGQ1@me^>4*v@geX4`qh
zbE*NaW^44(Q>Z_2oNyYNUu`)TBAS(XH0cjTJaZ=`cD#8yUf95>)B@6T*HLTuYyNGL
zHvGg)SH9Ch<_JLw3U+
zTQ|us%TF
zWDPJ!_6miaYzEKz$$c4m#udZQx=dop_o2G^!NStA&kq>z===LoJmhWhrF?FxG{DT8`
zH1P|uSt5EU3~6C)RiaIj@T!Hm
z>gQp6$>Hj=Rft-9x94}h*6mL$3xbhSisiczz5(Qvj;?<|86fV8>|5U6-ZPVV3S+q6
zu~|Ta9G#GrZbOS2ycjgHwf`}
zgE=7g;hF{pXN#3)a2ip=l~~HDo{#h}!YMJZ7FMdAk60Xv>BQ`38ETihC49i0t6P?gA&|<|24ldLlWNizW44s
z=YHqjLnYE5){CDuxC$*Uvd9LLLzbvPZTt=Y`_k0#Zl|TxrJZZaps+Bf%R4&6sMPg(
zPc5K@qW3scC&*ZYLljR=teBYUOC)5M{L*11UP^>n?3d8+-fhcwAh7&!$ytn%!Sj#uiAl4Y8XlUH6)%&0gu(Y`Jd+Ar3klKX>;t(BCX%g4npV3C}th
zo5x(Za6#!r;)}$4G(~t-e{M5!CqdPm
z3Ysbw@~->uO7w5a5zm>raH)wqO%xLy?GKvuwTqx_A?1-XWgP7#0{{KvyXO7U2|G@wCaMCtQhj^2W6Wc1Ly^SoL{h=qNsY*axlWIzuNAPWth_4Osog9;)
z>INg@phRdikj@8$9BMXFDBlAv*#!0EGR(>-)$PNf*Ml%h;yUzfWtVDxt#Tfo
zH{G_b**i(+-zt|!BJjwTaTd7_*D`B&`uHi@jaREz(4}Q!uP(CIrWldPPC$0#+h-S}
zSgck!85asqc7ZVKb+<=?(9yUJfUIdx)X@}0&sMC1j?BclQ}|&aJPh*ut9?Aw6zqpE
zOm+msfRJS3=hFFDH}$eP!1z)RlYVj|a!U5%5FSOOPo!UjzrR
z06#^%!QSV&r3jmtbEcnWx5LL3!4X->$;nDZLdQYZ`sG9mMq?ImKL=_|q^}G0Q|d^?
zFg~p!I;_oRRIH^5?RWd@>5Y-#W>vjaJsM$fdJ$~tJa?yZQLX{<5{s9?ZLc^-~`-XYn8CaXk)(5RO6qU{seYL
ztT4?><|VFr9(@}HEE_~lhERQKn*3t
zoS+;*y-3;X|5z$X7Z$z0DK+R8m{`l9*}$n)Di(|D9NtJd2E+@RUByXET-lOJ-+~0j
zrn58VF%QNriHV9*%O&dKRjUI#o0D9y!ZB(PiI5{ca-e^y0{-
zE6Qx&j9+T)E5Yl4UN4S45wY7iaxN1RXRA`Ku@bP%aHfOEJxA*B2Q;qhyj_h@J_bY$
zV}%L;tyYC18r?HOU%l<_7L}K8f!Op6?-d(*PK|2qlEt=R4+0n?+Qtf~4Lx&L+^N$`
z!}$O%vqDc@sT46DmF;cFzBlBRx2hP83v3)6w?p8kRt)(h@t+{5qr~?H@z3zQywqi6
zP&jf)6TA1xAS@8XU!%}0>6k$q8ykUFYbc=NI`mml
zT6ba*a)7vr@4)CerRxvNnDkT{I~ef*Or
ziGs3aS>XcURFetVwR{=u95
zqgUQ_BpY1E5BBvM7p#iEj?9z=>j}1a!-s)rxNdNu_AdXz(Td%3U}^7)48iCWBA5Jq
z9g=06V5WPTrW&Xjsm30;b&pkmPbpg-=#nwQX{M%XYlc<;>xfdswfM_((5Cw;95d^S
zUyqSS5Xgo5?*@6h0@d3U#|91%7>dl#cXoEIK=JW#nBEV5Im|0aH_OGI>Mg$)>l*&}
ztbn)n_+T8+(!fx4#%m&lf@Gh_=5E*MtH=#6ETo1)f~+G}e>}tER1pI?N#_J`{Udp$
zl65EMVR&U8`D+46-Ud6fzr9Pp4cmX_>LX&JNbf{~an10g^_$t*LRS0d4-4W$SA1c8
zl(A2DJzQMaG7?BwJ6?aIZ~x7th!y~^^{4S{X!M;l?n@q)LNQPOHy8Zhe@xG~W^ko1
TnETL)jE3prwegnI&g8!U2>7;s

literal 174473
zcmd42WmH_-wl#_cw*+?x?iO5wy9IZ5C&4|q1_pfb7)oM{SnQP23dhbIBS5lBfLBvOdfPg@emJ(BefPnFbfPjX8hXvo!?IJ`5Uto=8
zCB?v3@YjQAn;-as;3%c#0s%o3`u+_WyL({<0YM5OE%sH_J>z)QD#~=h=kD%|2ehVR
zqj3g2MzRPgX#Q3&m0HU=8ecw~WXu;r)Xi$#gU&z?8HMYc-y~t!;}1`cNH`RNz7&g$
zSCdH{cg`P+A?r;c)JQ8s7;)s7nwoWR;8SwCe8dFW8OX$Qb!qi#Eh;PW@_Z%nhZt#9
z1F5R5A9i*VJo?cem
zqO_i#9)zY%$-+?^KS51G?Gi)h8T21p&hTybWD5${i1{>;TnJ&pp)ctZ|Gd3L7j;VZ
zO|^32NYlp6L&CTS*JK!U1tF#^RyMc1ix;k-Bs0Cb+5wzJH&$G#fhg8xx&n5+0J%Xl
z*pbh31}}4VEoU-*k41i?cU^Bj5S{k}%$FmIzRnZd*x1?PfRp!J|H
zsZ0U770ms;d_oIf13H$1*vZ%~Gk7_?L7S?0?p-dXm
zeS`n{pj&1PobdZfoo82kT~~ZM`fe>tPo3wzNZzkk*#;wTXO-tPRm06Yl)4a1cKUVMm-`>n|5eMzA$wAT%^Ve>jZ*Y&kEeRFej^_Q-J
zfq^4F>x$iEzlUVj!SfRbzjW({RzS=DwZsT7HbjFq=3Nq!@gT*lE>V_!sB+y;vstdKKjR5!i4$5#QL*5#Ot2JtGVnI#((YIobbaIr&{Q#
zPAGrQ`r@hU?TOEK-RrC)nc4Ru@_Ccwm26%c;{6ydQm4Gl`<{IE*t0iv)*rFoEqM?2
zG&N5zuO|Kl2frs^2A`Y#1d!NcC+Z2R#l-J$&F;lj(SDj-6
zZ5y7ZJD&Bssy8pDWb%ZO<1O2Mg_+0IvkCsG1Q)Mtod>U0B^uqg^l!&P^iy{0ce^Xt
zBF8#JEl>h(r-bWIYj^iE$(>?uZg*fWXP@HllN7xCh>e3on<$g6?TifrX#n={`^SZ@
zNv_U|XdT2defP}|Szf0tKOEiw29E$np*;>AJx=OV-OjVBR!hvMWEGjolQt=Im^OhA
zPU)5vyDOcM!!15{EQ5woOD9%gsG4P5<>+p0cFd5Gd0|42`9fR!)A`TOQ*Y09ZOjGh
zrbD4<`WDq<7u60^Iz%ebns
zqQ#bq3`Pil^E&Ca)ip32Wd5C1}}sxTEYYjM!a8X8+PYtMULHosQzH5
zM(RF$Jw01<1U59xG-yXp`Mq92c%Rr9Y%kWB06WiI`CqPQpLY#jDTN-VV{u7Hx_p&8
z@g!r3SI=)B9v*bEl6AivJJ2V4Q%Zk6yVL9Cp+372Y^r4r%K$zBM|WYI?a%z^*Uz|P
zC?S@I)O|nNRV0F4pjqz&tjLNqZzGasJO$Tt-6amF;cemIX$`T0qwCJA3$6gA*vzN+
zza(;7XQu%n@N`^vw8kkYIGNmeO^F!Xo2FCc0O|zZyxw(XPfsiBd+cKQ-uIEXK3@d?
z?(6^!Zl=ipjoPpdLrLhIj?(}*;*I`rjIu|r|009P
zF_+s9h=Si+vIdVc_KKqa{e`h4Ej7_EKI^hJ|C^f|y>(b$BO{|wbIRL5T_(v~C5V~T
z6YYw5rYWi8f`9->QafVXHN@FNDd9!f2|w9%&`vxzQaFYV+0M_$$XiP(G$I&MhH(!8E1$udVy_$p!p_7PkxOh?B>N
zC#2Z5BdS7$AY{JMnjA1|n%jgVQ$b~1fB5w8`WM8XAP{PXqM1EZwbQaP#7i1tX<@KY
z80JwTPg8;Llo#(IK{|b8fPrC$8Ul(
z?+s2lTVRdx*B+sE;%}p;nRg!6))75DU-{2YADc(a>may6V18=jPj6GKP$!T042DZL
zZ-(_dRw@+zK9=88OFnY6;#3Kc-P*FaA!YV%ldP<)Jv~3+l#eKHw_-lRKx!9tc>qs1
z?a`7KnV6V9!9ao`wW-Kiaz+~i1`1T7$Jd*bGhH7k}4e_M;QHRBHr=Ef7^`Z^y@4rnTS=!zee
zkh>cAt)-&!h3p_BLD&!{Dmr@Fy21Uhq{#Js<5h4Om%e8XG9_v_;b$l?_|dQ?CMHoa
zG5Tl$1DQ5v%{CRQvygutu0XVyi2TpzeQg4Xd^4jEmUVvF2sFuK?a!BE;1h6yi-Xu_
zngIgGKtgX1t6773^vPq&G?@PNyt#AMc89)ioJqR_^mq|?l4P21z0Rdu(+RToe>+fM
zBfKnR@6Y_+p7?JUO`3K^yqWQEaUo_R`<+|b$Ld<1bX%N*!88iIOx0k(t}-}gW@aAa
z8hT1$-Sbq_!VOWSOH^x`nw-3RzM8r!QS>=%RLu_0RHI9*429Zt_Lxml-^d
zD!op&iFcmOuCAhhg*XyKV04IEb$V6zVtixUj2G
zV0*eGz4orXK&$=7K~H~y{a@fz*lj#FD<$JBrP5PudkQLkN>=#3oMqw!8PyZ
zy`%cmZ4a7>;a)Wj|EQZQCQhZdLzL{NSMgcwzi}VdArAGvVe^9K<_&fY_I`EcQO%fJ
z3BqFq8gquMwH7^TI>w2`yeVVR1Wj?l>ZqhosCQy1MEb&|$)hPF^u^X6g8Oz6`}@cj
zH>Wd+{u6<>WC-8@?3CenTTru&
zFMI)%n^jw~j!ws5B{ptmx(f5Ddq2zl6#3JGNC7%G5RCM@AS!0qZf&j61Jr+1!8N8E
zD>lc-`?WuUw%NY=1ph6X*V73SE0|lT`}Su0GFUJDKgP5b1KZMdSY*|)Q|WBt3>bmQEN_}pf(ILk!1K2HYv4YnJiB^jW?WT3zd2(Q!vdcO_)@m=r=1t8
zT8TX>$=Lhqbn&4(4#^nXI;13GNRgV&``o>Z9U9ux9MQoWxfE;V5By|`o5Q#V#S*`#
z5jHz}aN9Zd^uZG!=WStw_Ps-UU}~ChLs~IK58ltQJt+yaPwQ_vs?`6=##=)00qs}!
z_b!DqI7|U1(ty&f-gIp_?q0+(XuVHpb{X@!bWaQ%93R#z5dGBY%ouK5TR%K|uYR|s
zT@3z^y<1qwmt2nMSE(%QM`q+bV&XlL|B>#Js1)jQkU5ubta+_-ZgVQ4N6$eBykP-f
zyweu0Rn!wsIr?9zF`qj?rPg(swH7WZ`_
z>i@8OF=^PWWdo3&@oC4I*BA}M5iRMgO(@f@9qe(Ybu2(xSTF~~%6!f95yt9T2;*WYt-_Or!?_vkgAx*=7mm3S50>I|60U}{U3{f
zaJ)z5Mg7Qn%HvFEK9H{}*;|7Hy!nT^!tV2zFNg`zeZOdw-OXRjjGI0mY4Ilr-b!r2
zc%$%iiSh+lp)3({r-$$nC@I5ag^umg6=%j4#1+CS0E<2E?3xhxnN*7yME>N`5pL`V_ovqhCXXGcG^$Ki;`22|ES2UmJMggM
zZs|>g_lh~)%7oO2$4V53SBR8->GZT=+URL4Oj&Zz8oBUd(O@z$FRUIM+Px}63lq8C
z;&1fx-`ObvE}IN_=xYP&^_S*vpl2JrCV|@bl>hFPPZ|sZykhi{^KKMO6A+xERJ~%;
z33`4HztzuoYOpJ$*wt8dX}vJnQ1gkD^DKiRROX!vsQ2PTPhtdPyScM?=Rem(97ITR
z{KbTdR7W3-FfZ62(@{VbTj3+r_Y++A;~R2c%Ez`w4Cq^kS%jpaN)~uMnBXVjS63>Gp`KlGEogz6`c93)^liP>B%oyM48;?;WC4uUC?XezpbTD96cfeMy>$|!=
z19U0wdlu>U`0rjr`qam?YxvfGxHrZkIIXG^8Lijk8H{D
z>H4&Mce{unBXgLgW@kEV1~EShv_D3ffg9$2Z`gdQU<_nkNj$IlChyCZWz=YHsYk>I
z;)6v(C<+xhB|)gVvw0nH4;eFyWl;x*(E9AqQZA;h*6n>$4MR5f>|*tli}N|W5mlte
zHrBWbkKW}jA!qgwDhft6zo_%|y&W2MeC|hEMH2lV$g9OBSHT1^)6u;B9~(iWj~km4
zLd^~P10L6xpGK*go^F
zWgP@J!FFJ1K#u$&Z;bUoO2o%<7Ncin#gyoCXg86YIZNqM_xMB(&`viuj2$+SqSzB)<
z$iw{sYGl)-|4zUkSOIF+k`8>E%{Hvm712nVmX7)c
zYa5uA-X|v?zw$;pU6arz@a=zy^Hlp2M0lG%HJGI7@
z*2Rq+T2pzL{pzy{GkV>pL=ilHJ02Lv+iH_4QIZr+FabGS$$!#yx<;<$=9C=hFY#o-
zI!7T_tu=kIVL=%ZP!1rbGq>hK^RGm)_j<~8!;me}W*m3M!xCSVgIxgnU71fbk>cS7
z4hi{tJq*-qTeL*Ud}4u3o-les`zUm+>A6C+pGq5;%^$0kF+_{
zE#KrOE}BJZ_}GSF|Jk+@OIWLw8%s?UB|>StzkS1u9&(#kO$%^gSpQw28Kdbb!#jDY
zX{RMqvB@!c)f)%@IB47h$o2Y=lNE*J>9p$d@u0_D5rHXP)7ElX`EfBgYS%J(Z#v%*
z3`VO<^8#&!AFaVKjazn|whjo0wII}^PZNY2tjVy{R)%8^)M0$)GU$_w$zQIhR~dG1
z_RiW_M9A}+^gp$|kz@N3_;OCof|1M`iGzlejs)k{scsi$lr@;SS1eOrZF
zbhQzJW}jh*J^xu{YIY@?udxjSvnkuf-2}u6T9@FmMi;lrzn8=2eP
z|AOG(uV>Y1e%}*J$gU>Jr?LYbsvKiokm7K!x*Xy>d(JMY(}W2{v>$^}UuymX25
zD*r7oD^-HyXwjC~4EYN|F+g0kB7%@m@U3hFJ#oAyzmCM0r&yuJy^O^^K
z@U@abbWwyhlj-SFK(#E~%>(&{`7QPKDZAgkw$)O=(=%`*dST`eP@UPS6%adtBOQ}P
z%ImY)th>ST8d4_(
zi>^GtUxVCbAoe?
zpDk^ieOvo0F`ny$BoyT#(9uZ5tOgn^rI%nhghIKT@H7}cb~v2rIUWsosMZCXkO*@e
z?vJvSuJ)SOmU+E$f0)dpu0n6W##knK+&`pCXFMMqI@kC8SjU3a89TOH4Q3vAurRgf
zRJy_6G!aTD{6P=W(eL-$#=2f%Xskj@mQSwScZDD9^CWJa6JumRf5L+gRJ(IaWuUXo
zx0%yJ@-J=dxudsuu-Yct+cvA8C%lGr=l4r1Y9sE|XnLi;@OBC8%6e67U&GzjWRc6(
z@Vt`%X-d(xPq+6s;dBj6AH#>ftfKYwPhK%~{&cfKR@0L4JJnE!cTHddWMolrKS5O#
z3AI+0ZND=>&69o2Y&g1GCDN6k3&&3f!j1=mr$d-QR!uq0Vw<%TglayZ%|lGX-@j3e
zk3ltg)P6tG?{`+M5kD*ts5Oa*3;ey_Wt8NaeFITlAAd3Tg~b|L?1cR5)rjS?YzPOd
zoJhBK`N5L2QNX;Yq#8v!kX^8}71@X&ePqoYvRL);%^OWmzq{@G#r$BI+J(Ls9=lNJ
z$pPg7N&jBtFM7i^FR2iT9Q6U+mMAXQ*N`VK(7FtLl4t9CWrMr2^5M$S7eYBjovp*o
zJCXQkB8DVV1&0S*;{Ojn-zAq@A-m7-y#H5MM>tP*bLtT->Q_nHLEhaSFa
zo6Xwi^|7ER&p+O-YbhaW9E)%e6fYg<;7>;B32P)(4{RMmfF2=X7lgv}nM|0n;GRw&
za^qn-SV9qjR+jbgpn&;<+ndg8&Q?2)O#z2GL?HM2dZIq{)dkxdaOG_xmH-qc<<8=j
zF?3nv!S5IHZAo-oT=v=Kh2z!uluyk52+|A~(yrbmMOn#?d0pYPQoSxqX>~4f^r_}Z
zjxuAh?Yjr0TGeLY_@n$mV(*W{9Oa?$sns!4FT^_J!OZJ8g0Y8`@8(B;qQ
z*ef4Z!cF{}m?)sMv?4Q8y6A$9)neYlJ&y}&A_cd}46)>Vp3a00{uDiP4mh_eCrRU(
z>U$7uRTkBtUwG@XZX%7Cw{<+Z46d&wLzZrOQ88p3t#q&IL)T`s)j;54ahJVXk2zy{
zqjzW+q)mmQ4pfGEIlUS_Vz}FlnW-lOJI@t!gGSTyePY2^a;rG5B@{kHT1+jXKh=zM
zBWq8om_+loIa~LGquF=h#43XPFLAjlCOCEJfBme{xK*iQXSH_}B2nDZzQd|@p=o`{
zk?f(Be0y89;
zei3wL|IMNSwnFK4Z~l|rE|HH@Qm0pK-AGqjreB9yIL$*@(y}6Qagx6l%MTS
zjHpC6T<>DkcIFdT?my+{{BA&YqdZWs)U(2p8vK6yuaQF8=y`!*zs*}H>Xtb%Zcz*_zGkL)+^O|l&bk5hzp$?>e0O1
zp(iIpw>NIK#|jZ(e)hbt`EKK8GIR15XysxV2(h3hlg4BheNX6rQoite6aWJXZ
zTJy?=kx22!T9mWPQ`QQngJ;7cmo3&V>YH4+oHn$;z2qP`rJ53rkCdB4k<*KB5zGZ16PnK#*DO
z4~<#7#6BFE#&FkQ$_JT~4zK)4?$-)sVm6eejL#qXT4gUqM8X%In$;_(+dHmMG>7sP
zTXmUSikZ7wz9ShG3;qlM5YzpOUj!N!N$U+Y#VMi8$MrW-&z7jH
zRFPy8+Zq^O|5}97Ibk)r#Vq};gd&HQR>gmWQym4wr>8Ydo|CI@;{_8DkYE?%)>Kb(
zEtet`3-8t5AMK7i4MWSaR386c=`i8@J%?}a=TQ3dy>rq)hP>*)IOI2Q(+VzU9w;n#l9;B6$5rR&d3$qdtW*WS&=`2`)5TG2=5>
z58EsLQ_yyUe4tl7_Sy}}#j}D%JPSdW=@DklO{q~8mFH8b{~WC1Xw9+%QfOq+PV%)I
zj9W|TG0wcY60B1bwd4qJLdN`biWha?qkvM5d2!(-1si$+&R&@lm6d}~*cJo6#`g_5
zcE;Y_61Y2LiZU|;qNAg~QeyLQ{Y=fI67&q*50G^2_&ki&X6bj{monlsevJIZnr7Rm
zO@;yv&EyHTQ9$DRW9K!8#}Uf+iilEmrOALZ@NFqnLJIGVxO$Hh?OLtg><6v!YYIryoqWKMy+?+9
z)$kk3CH-@=b4*=yQ))OiB<`)JN4aBK=+#}0eQvAN$`ZIpaf0SU$SxR?mHxFs`(V-+
zKztl$QkJaqE)YbHNx=x&i8Ekz6x{IGW$q(6ulO@}w~)#yVzbh;?|i65j~RC
z;8bPtl-Tx7_;HUX)VfJ|_d`2H&jaLzkB!ivof$H?bO4S@yH~-5#|YcYP&Pqdw2NWL
z_5*2EGdx?UhtDH_SQ?AY_G0rfNA|zQPyf^*@WN5d*iKb`1->etpJBfmFa>>+3v$8y
zfqKNi0W4TQ+PiqR>SQ_BLga0$sHvafPZJu*fA~g}*3tZ}xxw>Uw`~G<%Y=G!u|h4y
z&iI_~2)(k1b)S{ww42WHW`A(>l*=Jv2>qh^1d@$%r4#}bf{Ka%i4wmeTpznAmE_>#aD
zUZBKYOGR_HSSwnd(S*xVfKGY}5tWbuB56vFoDqfw-O
zBo{F>!B%_t0+9Ki21L`kvc7Dr42$YuCU8cdnnlqG8gDGDIO4Eum?7qVdEvW?_HN7U
zg`j+nUCq}iFh_j*&9kijYoKTPsruWfV(Lxnq6d`&d`tbCBmpHR@n10
zjM16<)&7*{)%TI7GRTEtNbUE$skI~XdDr+WbXWWnH_54I!PQS7%v)kII0^ofXlB_o
zJB1HmnN4s9?~2&hc8Y1_A31y)*X21-iHI>Els(1Px%185x*jT@RL-z*k5%u&-LQTF
zI=_jyn(#0Nk7+;^D0uZl)PTvT(q7XVFOPc_ag9fkb$fq|nr34rPcmbNn*;N5d+fdO
z6?H~)AEUc5?2+VIkXnlSDV>ZZW>!>L(jfgLtYV8=gKb)VG
zm!&u(OBssh7@B%{#&;v#O>kzicsU^}!VQRo*Ii&0DyNkm)U{+CZzbKgO^RLlRt5I0
zn*m$!9lAYoF+b}Ti+oWRdgvgq#9@RUxW@arxsz`xE-POV!^y$LT66EHZtZMNOBt+pEES+XIMup|wBG
zFwBb$?vD&cQyMpuOXZK$F0E(k2;QOX;FAwyXISm8h^AT4uloBY{cKq7@>n<05iVA7-Pf^ld$y|!OAhibcc55
zD5gGRN~}f&^hT}5?my`Iz)V=)#f2}a$l&q&D5Tq^tT#I`0#8;zmEjBWw=v>SuR95>
zU!@EtOtD7RSn;{j1ZnJTq(2F8MW!Y<^xV_$&sm4pa4#*zTSe#O14Tncc-(9%JSr&f
z4-{wiDrI-;RYu$mF^*O6MvYaKfc=1BL(A;Aj-A4^bHdIvH3$3~~V{N}{7Y}V#1ecOo~
zoV|;6_rzPctfV!{t(aPL#;Y@sZ?{gg)9Dy7Sy!IJ?;_-nj$d%MD(1Q0s;@M|a>z0FM;JE-kA&HAw}q`?3#U^K9VmTK^^OOn|qkf`Z{
zWNczKbKKPK>r_TC!4+AspsV5<;^l12YL2Q@uhCn5_aEC%i22+xq~cvb%)hXo{SN!O
zT9?I*Uj#hT)osejw)wnIH0^QstiiC4h&MDv?BG<+OohXZ>N*659iHW6PG^0sAQlaF
z4QOidL0JM70+ddto#*Ryf;i(!^WhIk>IItirCMvlYkDuH10b#D^we&eTrWjSf93o$js)j1Yv!avxq;7DrNxBj3*6OT-?xXiC3KOXG%XKbuFz$k;H
zymR$Rxi4R-EU!veMl{Y&CDANwi(pV&oL-koxIw#knUTrHt4bYXuJ|XY!fP7AACy}j
zOrzU$Hp2m~gERp5WkUC8`t6)sctj~HXT1^%Hw6l%IIJ8gGfoy4Teamyk5*u1aT8_A
zJ_9T2rQ6>}ANtk6byU4?R#wXzZhx1h=3VMBitBmnX8}fhG?ffL@E0QR-l6cfs
zoFG7C#I(9W7iOQSCyy4biG~8ijD5gf7shpXP74n2WsmVTcVN(iR%d`)c2`I%0}@vy
z5Vw+&3OXSIfw5XCq7B;M-l6FA3UcFOuz)vm+d$z6n5kEbHxWHDnp|n}q5@R7z+H@S
zIlF@khYdo_biws>`?<=1vLQErXVi>7JL3{{&!D!4haBM_jxi!DOf|CAn%DB!G1h<@
z?s$b)*J|lUEyskKOc^c)C51`mcNA;4IV;!t=$6Siz+)ddCKEH$+i|vCQ7f~
ze|zXYS~I^sg?P@HCLk$c;6PY^kYR5Jt6;d?yumPw?z&>IpsEw
zwlaQBc@ZA1%u>B^5eDk_Azj^bTCOjBfSnMVrT)S<%MUVqpNgs{SCuUDe)r{Bil~y)!w*R=?2u?Awk}h`-)EtI1&H+aoTgaIvg>dlV{0%w
z)iDv#pYfsI4PNivDL|M?q8cI%)EiS7c)JyqB=(}uSr_=YaW2c~(t-^X1%?n^{#bpw
z{CJo$j>@vg`(dYe@*xMyFCDZJMSN!)oRw%!1x#8yJ{VMpA
z=!^QEQj6$PzS~mL(_}59VO;+t-(#rO$o
zVVzQNu97hv@kQWy{g6)i45~s6D3^^r8ZDgT>3BH#pc;wNhc*dH(Y=M2Yo+Y4Ae^VO
z&fOZVl}w?j4@`h2I14Mp=P$<9D|rP9$&qUv
zxFb3;TkJ}}E+jg$inP!<;L2p@sH@d`i-Mlniq>QtdCx&B&gL0rdacwN?A;c8^ZbQy
zNrJ{CQcuI{0U6MIQ;CO59NYWr7Zjd_tN%}U!q-=JZGxnTyZka5%+50q2cB>n3
zy8;uedBB~u)YM+OV0zbzRz0;@I%+;=2+&i?fwY`QKyw>T!)L>9C!FR^0R>gD`+rk)
zkk*41#fvUOJ!+pI&HLCuX~{f^JW@FteyANp3eL^k{gM%}e~x}sTuJF9M-ld;BIl-|
zjBoKvJFL%9X4B5u=i`8CI$rvVCjHm=Iu5|c0B&5oOBVC$6j!{sdTdl0}mWH
zJN7etv?SbuzJ)!q8f?1S*Op>w{URGYtuEk9)tH!PkxJ79Z^b@RVKtqTm#EEOpD8~H
z+i5u`9v8>723l0?pSq(h*b@TB<&Bas?wfYh
z^sV$s9h_lC`x=%BKcL=s@N0ReOx-@)TENYxoljH4Z{f0YMW?38B=_P+M|}R>u-NIl
zg;6ApN^*3(_&%`HybT^EaGk@DT<%wAZQNitVApixFqFo`TW4ENIN$H#l=N)sYPSZc
z%wJy2qUdLiI<_27!(*WaXV+ZsVOTSQg^!XIen^|KbEkPrN%*H=aifHKo}2L3u&EV;
zKA`!>KJQg9MQi4GWo8LzO~s)R?iTJjFM-DYEc5Af+zBcY+gxlE8+RJPn}{0{it3HX
zLl@`)FgKrw2a%(}LLb~lFFLyPCIJfld&(X<$JD*xOcy&1hhZ
zd!n>e`yY}}2zubRO;-w}Z$xKGPEF-LBag&={ceVEc=JUGQuS94FWgsbB75dvx{7R`
z@X5>@9S^XczMLlrFwLjL$K5R8xim)&(ahTfl3p*6Jh=A_UIV~aqi17m$LMJkGcF_~
z>AVgtCaL({G&}>nNw&xIAv@-o*UzGJ2(65{4p$>gS7e?U>f5vPndJTT#w?c|rVqVt
zr||vXDWf${Xa{HhRlpRlZ7x!)SD0cJ6|n#f==VF^zfU+Xs%5$I`?Qbbo~F3%&35w7
z1IPv(HF`V9$zJ&WW>bOqvbblq;zT2M&6gdD(77W505kL6Zzuc-V=6gQN0)9oU97X0a&C
zX&^T=4(g%|u2h)H%ful^|3Z%TZ?L+F1)Y^drtSRsm{%R`cFF-ZqJsxQ5eJ=9voWLq
z8&uI5_1Y=d#iUUol~Mzpt2;~)iu4=l^=)n*w@-ioi3R2wxKiZ|b?WCRndG;4st+z+
zk=Cc}d!qdA-HSYEoTV?y7%}#Gs_BfqhQ`lM
zh83T2xI-dXhn`IMJ6g(o0UPdq{THuci*$JutLCdKh4ZAH3T{i
zIKGI;kI_a2ZW@m}vTlawSE$K0G?GWnW{G4i-E*+>cFZdtuRTGp^SGN(ZLG)%12WZR
z^?+=Li6zKG^u+m1%QQMRx^PUDY88Q8LU0vSlkUw~g7L2b1do4;tD{phzs{9ebt~`p
zqM~d+6M)dcl7$GjSJxY^gC+L8IY`azjp;LmXZr^6dkmQF_DQrN`r*W
z#*1gWK11O8w%@&%Uu}5^`T09G@tFq&K`0KmG&H)O>L@g!l9400^Fsdxt4{DF_Nq
z#>Vs6aAXk3r_@d!0H_KPwhBwQnib>-?gp*c_I?}E=7OQ;+O}#s*;UO{8P(3>nKf)o
zW16xy&=cg)l*2uh;eDjEA#-#e)I*V<$Du-0Y!hhm9)koQ<>kC?x3@gFl*cyc#7LZ8
zf%kgF$CJfBzoof8h*Itr7$MTWpg#y6gdsqYGFHM*mM>Gydm@qfiQmolhQ0RC1P%eP
zSRpwj?f#Jnf5szPJLpWQb2upYd_VUlr5IM(QzqaZkE&X&=hHT4?z>+}od0{--L00W
z(4vrKZudIxM`q5j8Jnh1H$hhr6LZ0YZ30Y`^m_X1*Iqc16DjDE6G!gX*oU`am$|xe
z39}fOzKls?5gzf?#*_%0hp!I|cECNdH;O67j^Xe1!mEWS^GLiymVc&-+Jw3#BV+S^
zZ|NSf`L&%3Fon#j#^WO-l_T!owR+UL3w6yreROVRe<|&se-E^`hHKHvpgPrf*hwB|
zs=i+fV?&XvgC6nU;q6T&$j>u
zbVfC)*lbdP$9_?ss%`F=ZSGh&90;Df0nPjQL@14U?=*q%-+!Vhoji|ZOFoz|bk+u0
z&CgQHzzF%)4jCG~MdA7>LE%=J22AyR(Vzb964KHt+0b2xG0pJjSi1B>pBRb65eiXBIFzy8E&ZG^gXVkm1S*XhrKKWz_|
zL1IPX&%Gd}FgUD`gVVWiiXlsEX_Bg49`(wRj_l4srzI7;dt6hNp>JlY#m^J^Pb$7s@Wy*V02!e+CZX@z41
zCobhh@`qOG+YeT+1EVBPg6-k4#*1Ye(y^7O9zyMt*4h@dOB*DyZvxK7p|oxa1}{I3
z7=0aHm|M_S3m7i{wj+M}3Jhvr?dWf{pT7P4deLKWa28%Mz<0;=3PAfsV6*7`(YXn#
zn?{7g{&O!=kiZOewiB?OaL9>p=s`>uVrM1UB@%LB!Dl(n)Rxq&@-!i(yeaC_lI4Xy
z-LG6za~1#wLXtMIP;=ZiwSp^&F?En)sIeh8Z^jHFr7UCYg|p`ZHn)vYMcJTQsQb4ffhg7|65T|JayG}KBLuW|XXP6xNL^OIIh8$Tl)3O+_i1)i=
z+|uZ3wjkf`TJXqjF-;_I37?=B3d-3_=9%sE7dr=xTF{K~L9W27wOaqWnnrnTz93Q+
zb*9X+SSB&~TjuM&@(bUP4R_D`jLN}PXe0J;eJ>fVs~$;XA7Y%k?78b`edp&IO3ZFi
zap`5K5JBN+fzWu%Iq&+4d*nBOsCUa{YGJKt<%JD213leY$-X4f(})6i0dkwtaot+)DBuyN=CO_OG0tORmC-
z)hAL9GHZXNVdzg*$1=q+KU+AE@-klk84lf?l3Y^xKmbz=0FniW_KgUevJnQQ_osSUhUv#f*<>?wX{}>8Ot{}J{gSI
zJy&rfdpfUTgyg+Uz5C@&@pm;cIAkn|+Sr&C6*=lju10g|ZFtPH4P?-@^}DPt(}>H~
zmvo`41xFsryFBsfJG$82V%5v8UFLUv2}#UC)7$K`
zAK|PKJf_V1G7HS|@;t2B_NWzZa2Ji`p7jwhzFME=2i#O-{mGQ_t}QXl_SZEKzinOg
zMyQd$31j@7vmpANFH9X{`ovVH0%obPltqk_Ak3T`DREx?aTW-ITqKoz?j74NfhMH{
zqgO+FirO&4WB_Z*h}9OzU=X_rmCiL1FO%NU>OZppL_^rJVG0CBr!SdU%J5c!9ELs)
zR~5!0rnx#*$pRoR@c)2WVgzC7+#1SM6vnw$_ipI~n_s<2z^SDsoz})Ra-#UzUjZcL
z6PNzTGfBGmw4hp8;CON^{jnQ-u4p2_HjQaVOhMB~Rh)lx*3bQceOO4#nY@0ouak!
zFrwNj8A;hy=foF0U%ct$LHm3zjM%n)WNUZ(6nAxes>TxhaUb*OL@AgG=CgeDyuZ2<
zjq!jaxXF<$KY#e6R${;kQ5xCW?ddq>kaW7tpufxeV+%_tyw_3}nsZ7x?aVec%MOWX?)Y$BB_{Tt28B@F}8w(b_muSW{|xnCR7OWW;~5@XL=PG>y&Uer?%4^Qi{or@P2@
z_%Jy+ax3=k*tKGve%5`=&5{$ZCwRzCIBknrSb@8blVE&x%7EJz6yWAVWb>E9rAOt;@ND)x6e+Iw&t7hZ`=nU1*zUHg{zL^?58=_G{+X;M
zF7yh2Fiq_1=@$^X3z9VEz!nw98X04pw`NrLul-af3XcyAs%21#_X3VTIgthBFkEUf
z4C3!lok2DYa8mvvHmid0apz;tf>Zfg>hMCgx|b|klw;axH}h@>LJ(w22hU_oNF)_-
zG7+&pAkX1Kl{5Z1-=OpxxzeZ0tN~n0$v_oD+$w(juOU|>GzgNR7}g*9WOVFWJ7jfw
zBotNXabseS*Kpn0zeG*opsx}GPxul}%x?j*QsqmB+>lvNHq|P}J{zAY8S4@dgP*)^hZ$S3Cwv**Z^7fmq6&dyio>ijhgCr^h_nCx?6;F4EM
z)ST7n;;fP1-zU!RA)W29^iw!~T3j~7R$nK6=|uP_4o_Ay_w|^{C-5K2b#mRJ^Uoln
zwc_E7{{v4+Zx>tRJYU?LOR1b@cfgAMnUUr(L}jx2?`<(Q@{q)*h=4MP$9g^iyt+jd
zU7fpB8~4A6AsKF7P``7gF$kIP6`}^BG+e8ohOr~SSYg^0zN{&UX2&K_wjh4(sVO8Z
z6%dtg8}v9Nf?&k(IlM;2NH$TgHBb=}Af>=B?R*SVt0gJ+krSQ;n&bZvb(KMJG+`PK
znm~fPySuvvcXxujLvVL@2oN;5L-644u8X_7bHjIabw9Uut9GX6wMV+g5g44-Z$}2z
zzA0nL>k0FXB~-Bz*1w9ZhlD^4}5zf@`mrGMLe;8a=Zx
zQeW^6S3K}OW*3jPzhHyS4Dz!5<@I$857$VsN(SNeg%}7Kzk8RhR}!iW8nzY3tbm@#
z%h7(jCbK`&lbXVSe;j{J>*NxvMrsjs)x)pY5U}}p7-mN9))^~(wKFr=598>7-%#&I
zr(S#dO`OD2R}|C8l1=oh8DHQu=ke_}U`-AHi$5witikX@OH&?Aug5e<1)COu5A91eH2x$Y4
zNhyBZ9jdwr-1B(rnQrpnXzLCV==G!a4=y^ZPOEfc#M~cAp0MZj^#kcXJMqKXDJheM
zw1cBYRKjV>EKm*c0;zk25Lk77$R=PLvsd(>b?YQbzNzCJh+^j_q$)&go*5Tx60O+T
zZ$=}3RYy`KOc1GkJBxTYN}MgHI1-tr1Z~R^6eD8N8jbZQ&+K!4vFVeW(Z~8a;M359
zIi5u_(CKr|1MV?fTXzCE=$ULmtVpO~4-qmm%Kh5moc$uBBnJx}5Q31wk?k*mIHny4yx3Yoo?mdKqW#pkc27{2M
zGnD$wqF0o+sYQm`O6}1;ngTVJEmbZy=OE#Zf02;I7sf;S^B@zhH3Rl>^3-ILY%_R?
zN25m%AH$1lcj3+ahu0^L^k{Vrnfa;txK!}aK)7rw-0g+X&hKKj%vfU{e|#$Ms69|F
zqW3^G$W=@^<%W!?Vlm$yvG~>b#{{@vXfzXTpMD0Cc$|q1?p{{viaRe)T7nt8g7I<3
z@Ovfg>?p6?!#e(#^h+TKep$~c*R)jxhc(Ymu~MIIu*R_b?tE4^ZFUer;SNUn%qI@(u%l<}Vh*
zw~RC*Uq6cLP|ozsCC8n%YkN2-{fdrJ>B7XULtP_!Ju)V^{5Qf0)ELKdPVb5N>W=t?
zog0>ez|i=}>o8XYFm395isI^B|4=8r{|zr3AiVIykQue+qf*=)5@z_($OFob`Dtv#
zlHehJU=d8>Vtv;EYm`r)ayZ#wB!*}D{zIGA)_Y1W+Y@G~oFo-JPAY&dwTs{%cJzU3
z-G!NZ(9Mp;2|rfD+aKg6nxF7uC#L=}NonC0qrJ|ciS|lu^RklRX+Ccc{1hqQw4o#N
z*CPHRS_GgPt2Mo0c-5$xdkKUS%VbsTZO&@m%#QBB>WZXUvaK7rpVuiR+J;;=eLzWdz0
z|1&5VBrd)V{ip&m(9g!w>2(c@(@tK=tkPO$NZ~ycdrk27R
z{w(3RFH{j`A~9l@si>{FJz#ozP1~3`0g;=fy9Yry;34RQ6nm~iS3RqQ>NO&%nO{IQ
z7vM_T+;N6d4Bg>gKG5rj;C}~sKKkK
zXFx`4xR$QCsNr33A$t(NJtI!@x`c4?A8CvWTb;2|lc@0wGK`S}l7ZUlLq)`Z?zoMy
z&XLj*E!lFFTvF!n_+zWVWU`w>Gf8~mw8pgZ>&}W7qLCq(c~YHd^f_^=|KGr3K+fR<3et2
zri_iz%s)%VgHJH9{>ktq$|uXzjxOmpfQB|R(SkhqQ4d|?5&VETra&C9GQ||87*(57
zLc4jcP);OVvo=fCE~>n2n8sA`rEl>CfItGWv#YW%*Jkl$BL`hVl&f$Kq8Y>-YMXm5
zULXpeO{ZMcrwzlKuAVP0y2Rmd9q+n3(_XG_ys15s!IM<$PuR6{g0|%-0`FHHCxLZj
zR&eWY;Ff1Fq;RIr5XWnpod@;tG?Di6xd>vT4<;Zvyrm$J=Bx4gL6$MLh~5LQ?x46S
zu+@DC+b%Tqu~WUXYfv;f-JslV-}R}-=uw>pw9)#j&e?hJaFyta`Qf6N#v<_k=K`Zf
zNP8*5)g9IQ>Q5lr;(xK5nnU5NdLmVbiJ~}qqfKC1cL;i(^sdv-|JNT#&dN%*dHtGO
z2E-*$-0vzc_Vb6i0;_1Pbo+#Rew6bv{8&CgO;{@0Deh(`w(bvM75
zAlb;;z&3PRn0k!wRUR}ZdZMC!FC)!1(1hu^sn5@SX)4A@
zx3oE~zzZgZ4L6^SkM;zOd;h$e?|R|1b~u9bO^bm8?k+mT$2ogppf7!$EM?l|^Mmmq
z9e>_z8*_)kYFJ7$I^D??{I6es3ZYGkqv=)I?Vdhwd`j~IU$O+O`L1sM|6yHBC!kXC
z`pv@EgOfFV@k^@LKnTZ4X)G2k4wg)y>&f{7?Ga{dQru2+tV9zzXp5s=;RDtvRuHPPr^k(fsnR-tbPu3{1&1E(qVjKR+
z=;`Ho`=;-;gM2!neZOU4^1sxM{x7vE<-GW0f{N7c
zR_p@}E;(|vlj6BSh4xluI%#LJHNWXp8HN0;8yZhhiSuA_pwg5)+|bE)E9@g_w8Y=f5B;rrF#sM>T{ocF#vFIuu7Fm%rmhx3=Xtj(?y`XNt
zDd>-%-b@4uh-#vnXMFCdZP|5@UHd_fY258pwdrF#jP~~yzgqXU5UHp9(Yr+89Q@-6
zZ=a0XfIDSLPQsM1y@Ldf4dU)cf)X`Wk>6W
z573@dq_Kg99cO@^{rTn2m1G*Vxi%^*N361v@Fq|o)zlugG%#0LbaCYd(+aV6>0b&>
z!8heEUNQ0oT7f$FD7N}bB;EMzgNC0P--z2l2SXOt%>kC|)uxd_WvT7xE$l&O+YRjs
z++9HeqqpW3BgDA?z64j@I_y^b?)YqDIezx@cUpT0$2J;kX6VVW#kc5Pd&Vvyjv*Tm
zP!ZA`p{HyE9ON1qJYFX1j*ssB?Kqo~
zC0!QW&@6=>i~pUpU!4D?%z%F^D+`cS_ULU*T?$2+zL<71KWdpvbixpYcq`=XR7
zxAl4KEW;b1C<$ellH?9hNM?KDvrL1Iq6Hsb<_{(e8Aq=G1kSnA9wdsq5@c94j8ORP
zWp7ZP1ug34c2&+7mgwPjGl!U&$G@&Bd>8Rzd
zXbu@{eE4PN@NdNe56w0ug$KO>-`A}(f1!FwQ=ro}G{X6nlewQGS{kA!K(R0dClfTc
zRyDcfARYd
zkuRlxR8f9sBOw+QOoZKkjP^7al)JQrtMh1dIj)A(QVoQiA_s+}1zMBRjdI~8#*o1M
zAKXd~kfRWQXo^rhO%NM^4KP1R5K!=Q{i{pn!}K3$F#{#H%HhppX{@Hd$s6@k0J8zW
zIiolPjqNjukR0?3xK>f!_7IXC{?4~Qpd^+RDqd2H)rDQYA~qPr0ZYCDjlGB{Wh$jW
zH|ZXrY{B(mP)}S24?Bsn6R|S=&=hQ5xR@e>GCcyjob{)Dkutgnd@h~GA5bh!Q4vh|*^yBXz4^L{-7EiYaWBg!#zKX~MCrv@OKql=3-jQwP%76U=~~?emtFmh&%?xpV&@7sCbaI|
zUnK(pm`6`X{B!NZ*8T?=3tym?p0F#=q9YlC?=XetMZ9-U~5X~UmH&w*3itE)>e%@4^9y$yqfC}bodt94XZ{?bcz7mR6M9RJFh(safS~^5Tgo=Rx5pMQvow{N1>S2DDcjVMMQk|$8HW%%?
z8c)P+4jZyi{C!V
zkY`Ei<<^!Nuge(F;?dzee)AfnB1p$
zat$c<)E+(VFWIq@-(-IKl~<8u$ckq8&1=%=Q+3?~#tEc=a-sSUWav@m?GH+Se*c?I
ztGHnEwTxBYPt)Z}4h;rT0~MN3XkNMp`3k$Y?{vye!QcCfMQ-@8|~zrd#)T-}a|s
zod{D+=}b}fK8%PA>T3cV(6)MLM>j&>w|bXYknX$F`ia*+#}=UlQP|wPh!>0NXRpF5
z2m$?{YpNFj0zQER5d71ymb(-CM01~CbfpQQ9VQhHlqPKT^tfmLjZs%>_QAT_Wc5l*
z%?8gxEn{&4OO*Nf%LseQpNFEIf==-KlY%OYE%a
z+&KfmQl`~3Oounw#I9uC3(MkwHoJ`IsE
z)vgJG
z)Ck&iTX@ex*hC6Z1yCHKK4lBJ5s{`DR|SxNZ`biTJMUVL-vC6L7i82;K+ND}lv$g>
z{@`=ZE4#K!5cPrxvi`OC^Vhwmytd3I5}8L5Ov935oAp!O!jje?_RZr!eW8=<{g1g|
zW*k~jPM?mIkG}Gu+>K0GHJajFzn7^wcztPO=ntINOdCm;!@{vK35$BaaXnF}nsbc9|4V~e
zSN0rxAp4qjH_Pz%nZu8XgI7IS9#WtdcJcyFuZ&`~LDx7j;a
z8L?}{t^f9p@J}@qXb$LNsbFC8>!dU=QXw;b8`ZZxUUt+XrqWv3aCTl)tF^OPZ4PUx
zC9|o`TdVQrLq(~u-ezxIEx+EcVA5iDIJXVdYz8?RScD|(rsS=wK4e4FQrxn|)YBWn
zgf89uj3Y3B39W1GkxKHGS}ah}u|%34`TnvZ%lKu!4&YGsC2qy9an)O{RobRgzU`8?
z5k;}-z}neUWv%U^ozVeWp7m^vkKd!@!?j|Oj*tex9fUO`1ETp_TZ}n-b>Z|HAW<(a
zBli*kw7}G<^}Am`a9~l8Cmsu{(X`Ve4kT*m-yTj
z|3V6o90*gieBaj5-n?exIR5$3IxuDJI&zL&zTA9B%v@OZoS0_pdYjr6ZUo(`9~9r0
zZXh8*8nt`fQq+_%+7vw5wGYh4g)=dCpsHNE7U
zLhKC~rqq0$4cN+!M0FpthQFX-hAA+ufzx(le$bAF2*D>Yj#Z%t_2<6vz@>THm+*{;
zFPqGQOpg=%P^!dr-Tq>q3mtWant0=(grse;uapJ-ONtnz6tyY8zg=ZMF@(?jB)`<`
zFO1TSU)#~stSx)sOgQMj++x1IhY&_7Ze8wO8+@Knb_sD?-|)j8ju3e#NPa`
zB8Uy#930uFsx``!I^4aLx1EA=3L)@BmOBL^h-K@B73`kjjMb=vn2^t_=N|7GPA=SG
z!IcOTO!mKg{`tp@SjqKm4Gkh{j_2+;UO2a6$ssUbFgJ*l6$LwRKqMP%AD9NME#8y$
zIb&(5Xt^fxq790-;%RjT$xTiLZU-`GN8^(qq}S_6wa?KZYln%+axrh*
z+VAr>Gb*FDrHcs_t_Y5R2M;*)`3@?f}M_S&1<
z0$8>}8XiBRxmDe^D`!=|LHX~}@9vq_-#(C{Yb+pJbf7?x!?5=K^ICjyV=<(z{-;2M
zL)1Zlhb0BH<1*a_3j-s6;FOkx8C-&JtU(;3MAb3tLKJvvkF=xne~Hgu-BYG&g`^H_
zzF9UHOO4k>soun($$shHy9#3sF*#;{%3JG3k7)XSNFrkc%f}y{%^k-!UyfwN_XTA@
z!>X=?`JSb#&jGhMHk+Eju(zrfv#JZ7jUIiZwvuHB$(~rCt`%X`*wX}6o0gcnqT)*}
z`jU+?yx7g8OG3@A%T{I#XI
zg(<=$Y31hG=}}y4*^D}@v<;|-*Q~|y8I!cj&ypf^~FOC=Keyeo59mkMXztrxUmob-HMOj2j3tTix;V-
z-?MiO*eI+C2L2r%1_FOn09U)#QoN&z8K|S(|5;@+G{&UeyO9LyXjYk#H$Y2!&8tMB>?%?n@8NZZT&@$qaUnPB+M6_~Nxkr1uLbEKUMCUkHn(_xiE=_tA}YysapKPJ=7N&DSmBP^$N~jE_$082EsRmrJQ^R1#N$m&^6Sg}
zIBAj*UxClj_haIOyK_4JB(DA|AhX$zw8
zI3p8HAXHC{Uz1ZqAths%i);Vf$m^HQE9kj(^Qt=@Z~P~jEP)a*(-}EJ5AGt*3s-&O
z?u&|w&+c}z0uTzdg;HApJ7AU?>;WS%|LvHbf@$rH&tCozX^=^Ddw%-o)(WyOVyAJw`0D;9O}HA1hOc_dwKq0MtR{
z;J}xojns6{(QXAmIePub4$v=LY08I`rhUiRpAkUnNp;mlC9@S%7|F%-@vtMUTKU&{
zZMw%UwG2eN$36{8JluXNEudW=afT?{jE
zvNyWD55a*?$ciOF^epw^MgyC?RV!46HH)sPCgcWi*XzTtW9fa~$X*EIRQ6xKu6rdEboKiy4ip|tfA1kjos$_Y01qoEWmSf|A?{h
z?swm!UUJN?i=&9DX?UwX%y6ME^TLYu=x(drunWIQlQZCZj_BwChZU?T@?+OfVqh|H
zhO{`xgVK9-^aA$s)Tye9xSO$T^^*4n;A{Lv4k&WQp9a?`9eEA2zi;}x*(pOa=GgQko>698BKX8k%%#?$g^$Ap!cNeH
z0M@(e+giW=wfH{ou|;BK^o0WMi2Sw58L~dXn*;d^(Occ`9D`AUoe6Ba>LlAqHlnXx
zX&i%H23h*JFT4{NvFEpiA8tcH-0+b6{J99Aj#F0fZ?k(7peepVwsejK6EK61&MKK&
z^2k#ue$CE~;^hBYH+yFu3L!7VR)s}pHC));qkr)^$d5w&+vhLEv}|Z&3dDYvU5t8D
z1Tb1(f|E!ovPrp|Q5zbg4x9z4Mg`G;5jtAGwNFOoTeK{2jt}xFxp_2QG9$^hhVQXr
z9dI$NKY$BvlJE^*G6^1;!qvqiQW@rWX!7!Ypoz74aLS}h3DfsMo3aL2AY`e4vEAyP
zd`*`3&_NX|(JCJlO??Trqea%fz3YR`DQl>gz^@SAFQh~MfnmwzwXlVZyWj8bkHNbO
zUN;mNy95AEY+*~RazHu=(0!A+(lZSQTb27%)S%zG2Ia5o8VI%lLuW>dv=9uit}NTJ
z-kfAI@I&gK^!9GA>avb?jmavu;bKb+(kL81xn^+#5OVtj|32n~m-V~pN(}kEo0v0b
z*L&o5*K2D#(!bOc$a@q^KGbGh&m;auJE>$9=`wFxSqXDu7bBT&E+K??
z`*IP<76LI~YVH39FYhViE<*nTpr<9X)z;b%Re>{RMqetx?GktW1WB|ik`bm1wNZnZ
z&pGJkApA?uHz5Vv1>6S>BL(F0`&cH1{{pi{b0aORiIPh;4oa5d~!b
zt565`1+)Gi-cZ3ftucL8&`y<>T}{G#xJ^K4UeR!yl21fVS-ZHRX>>j4P;W052ej$g
zCi=lv5JzUw{dF&O
zp0VvYDiz4X}e$7#gQL`OU1c0O2PdiUQjcim_=IAS4
zk;hYCG4e8L`;K{&1%&lr2t2ZqMy4PDYX3rj?iIhxBG9S*7PUDm^!XGg9VwIUgOw=waweb*q
zED-*$#`TYBuZQ&b_)njQ=wc6I?E1H5josf8;_($Q>&cOW4QMxmi)(;7&F5tq2=?bz
zwXHeRTRZ>YR$-x%P)qiIrE9Uuw}%HO6X&`rw+q~
z7vr;0R^ftZezYP%j(Sj?pXR2UF_u(g=lg81OkhZ6b75=d`^f}Y
zk5Pv=diZ#468W*MiE3X6*#-&*^s}l@VXj9dJSq?CE+p1F54gEF+#RjRX5u>F2%66`W
zC-_N#(?$ki<;p#tSJ8z5?*Wqk0~Fb7#t(Zz)=yHcT%hYxE6z4?%zEuDgr7RYpnh2UC*bp$VqCltj7)YJYR~ak24Mq9|c0m~t2nhWD
z^2Y|)U7(SgK7X;C7q%okU&8Al{*N7$mzObyDGk%ZK#|DA2c%!~XuLm$jvk_AHIEM5
zVhz}7-=Vz?ihQkbvHRykYLP9=Dt<^soz@$=W5R?Y-`X*52;9
zaJ)oSeuKRpqK;qVUDcFapz`qe{E#mRRd%>nB|8vOUL^Z@w?BO-+JR3iNR~Q;HN*J4SLKU|00VGI1CLPu)iOZ+{qeT|MUY{M8_H5VLCF9xk3ByY6$49Kr+ww|AsmH>
z$63(;HZ+G;PjR4K`j=N3i;IWz-($O4<1U>NbIcRT*2VQ{m^1}y=m~$BoeTwzP7!(4
z&Q}74xh}-mJZv1G*gM0UkZg#x2J2`FMa68kKZ(uyV+FAT2_Lq7!eotZGE^uA9D|2^(I9%D>CtBI>?V9f
zsKZ?b&KeMnMZiQ2AS4=_J`K&p>$8r!g=m0VXJ(6Yw4`0nSN)Jzo@G5RU<;_$gPnj5
zRZ|~l^IHjCn=*HxSTft^GoLrIa>Ztj$2V1diHZsnqB!J59eftvhz}#%ixEOgO1{3EzB2qpVQ^@4
zOYXHqO~_E+E9pk@DSCnzQ1%X_4eN)6PxkbZdReJI29c|W!TW_pL4<%a3=7}ed}LPn6JwwV
zKuHoUs1YL8bcEtz6Y<%H8SD|l`u_nG&UfamI{`-xW2Wq_~&i
z$yATu&H?B3pl$Is8FM2`y>#W~zz_2@T5>x(L$aI$D@WglIuLjPBfC~e2obYa?B4!D
z%hHAUF7VS0|HqOl!QETyg!4d)$e4)REw7Yi37IH~ITrF)$x#SI=Kd~2tZ%$f6yrUv
z^G0-?<-6|f)f#XNF?c7tqBXA&oHa~|QKtr2M66|G4F%Z)87+G)*X?Gj&#w;BWXUZ>
zMP+5B+Rr@+el4xzOJ<;-w!f}4&b>PE>UpPQ9Gj)XOKXIP#m)_%mbBwa
zo{1i8#1>gBhvY&EF1wVRA;`&d>(FY>LikhVvZ2*9u;mJ1=q27iqAhF$$75oQpxY8E
zz*|elM@!kBTrMqRmmfL6fq#19on{)UQ4CEm+u|@AObnN(CnsyNy*d~RDQlW3lY|1l
zi|iv)(D{v#k%Z-8ND=};bb8}53^8+y&pjzM!TZjbXYt7a?5{qqhyK3u8j>neH
z@-wWmt>2x&B(>dwTZYo9G7mGt3D~3~-I_#Ctna0`Q*$)j%Z)C3gE^JwOsSmA)&5}9
zYa)(oSlb{q8)rt6p>CrkBCxOrhe#m{4J+Q52)nvMaqjg?S@No~JYFtAZKHi-Kqj>g
zHWX~IWz=M&@_^|J>GJ2dn+p_d<%Vc%3XW2jDeVCN9xp4otcy>zg*YLS^j*UivfFPXCP#D5u_vR*2C)O)qx@<51TmO6rTU<5#ly*xfrG;B
z01JK@XIS%`I96TX=pVsAGQUSzFkj7B8;O%2I*G^9%C#yZ2c)^<-OEwK%Df4Tf@}+~
z7FTyoKeTBcJd|EhM{u~KzMUGueEb!IYPRvd8Nw`fm4ng>q
z{VQpx6$RF9v5;VK^1h%Wg`L!zAK6Vqe39;#kJaRW=j6uT-c<}W>d8fcE%=%y%*05-
z#bR;2M@OIOM3ZBv^atl<$2u!ML2O#_=7)$(elr6H>KNfnfgo%(VqddGrcuv7B&e_@
zZw%UTndLT{R_ULX=~wku|6-wHb7EPP>Loc7Vw_penTL^}5>*q8hkvtCElsyLFU{wK
zSp2avEt(J>{S7`kg%Wi9)x|k*3RejHk0=CMEQb?MR4g$=7TIdePj8-bi{(=6ONvK3
z67iDoZ7$I#k_F=szh?m5%R%c`kF0
z=g(p6JAzfrYB2WX$a&{{ixwj9hCo^>f15WV_o(%Z;wW^zo>&1%PiwqlH5RWK;%7a9
z@3%$D1dH*a5h9z6p~}z3T;1K!dF9>GTVM9K?Q(5LUu?{ZWL=A=BhusLF|N{U
zGPVOeSM|cb?$Th
zInhasK&lS*M?Agq9I_w1OW!~;I-HWIEQ-O(XUHyxhOmM1jqB}}&+TeDH^mRzL+2lh
zT!3QiX2b%gC%{h+-}hI4<8paKB_HOshMw6JJ}HkH2k~+Hh13g0|LG<3EN8~wQMR@J
zungBmSH(LpbpW@hlw3DGEah)jD?<~am=!Z|Y8;T_*#zN4>ebj~dpJ?5v;mT|8A*%C
zarUSzE`jMSQu^$qc!`*-sXR+Xc_eu8_N3dYi5MXZ@3E`qOL<#ZCW(=s@{Ah0S#uBA
zQv)ojzA6S$qJb+k)|vDCNH@U5yrs^Y(kMH#$Z$>e?tI`JSQ9epHkJ2cp+d1EzY~jV
z(pt<}?N`y*NMnGRw?r((1U3#^%zpRCWoT{@nJX+U7u(
zW2kup^GVn}3WpIPR0yMaQ|)Tf;Kj6n$PHVLu!e1EKZ{KPzDtgtC>`W)E!wPks_`O!$r^4<}E+1>`Y}`hw|)v
z-@kgX62r-_sgZljQUj#Itk)nJwN!mK9cxT?Ll%K?CE+CmYF9igLs(=26pP2fe`>C9*lI0rJ
zmHP$*ZrX_$`M{1POPi{FO!mxQ^z`oeS=aQneDi@d|0;fiHFB-#AQpL)x}ug;#t&Cz
z6wyh7s4S2378xBx0%w`KG73l>Acbmbyuc(&_XI}P_C6Wb1*9~{2$ETFq=t>n&fl}v
zAR-$*7TYVanQ>}zOMrNXT@@OU6lY~%8lX@fC`UrvjcmA!EtXZ;w&a!It?Ds{_GCiE
zOrlWP4w-i3%MH(2ZETP{w^j1EE2MWFPy*W0^Kj==kieotp(7NN>*N2KTt>!5rT41x
z2fi&vn4(qm=7M-r+S2u|S{Upa72;h&+BoK$`F7+LQd}HOM-sLZnG#hBrE|NG)8laV;uXzhE<3Q~pJUS5W+YZzEF=d*kC&Kl)wgT_R
z;f;BQD<7I{2^q$DZ42%R^7TDNH4#qP8inHLsea<2}%
zUCKXH82^a45x#KE-wI-)gJh8MU`32!Nu)c`E;gut?8VNb1#{INveUW+^I(&*$to-s
znDM}-=f$Su7mK>J$u+h^Ax0DmwnyF_hRKMp;G|e_5H-Uf+N!zA`t^!NTM5`#3Vb4z
zZptjQwI%6^sQ&f`bWs-OPBKa@M#whD{VlZ9(_>g|{FXjss4^TT{+h55d~5{B!aCXZ
zt#V+%zeTFih^&SwMrNSdpl^?WK?;Q?d-tS9%~$Gs)CC7^DyW|&oLa_9ciWpcIY~EK
zv9XXwVX__4dH6t6i-OyjnnHKwC0jI@-dCiIFR3RZeHD)ao?G&(9*tH7`c}w{mtD$+
z6oJGdEFy7(dmQk7O5K)Tv8cAW+U2!5RvV;4u((EgPZpHJw1OS%NIe!&C52mPIwmRg
zkt=x|D0}5t2?=haJj>~ezBU`_xlxK8jWIA4N{mjuOJN~G=%v2}F2AI^+?s-{?GOfg
zNin3+Ro~~BuJcXd+!;`v&4_IeZxaFU1jVDAV7U7dk7Nc*;pS!i^fGvpxZ5b~!Y
z&>r+=TF4002Lv0_5StoXL_>wRNCs_8xT1q|6oPkr`%Vfn~;#->Rrl^^iO5ymM2
zJ>sAq7P8YcsJI#8!oV&nfew;^v
zGo1-n;t2zcD0j}RRorgKaQ$WEHc~@p;|6_oT2I$R9QU4W&P@F(W1{m!rc}hxKIU;T
zQg`*wLEjmbYST(G>w$B4q^H`do6loZdXd)N0#thz5|HhGc19xGyABsEGNzSiQj%56
zigA-4N`~StpC!Z`_IgEzv)lE_lh(-L_EC=eopVs|o7E1=#28E<4W6yvo)r~Ylu5#N
z{j77dAII4(;0X(3qxse@{2TMK_|G7B6UF^iOp5k=O;d)e%UZ@_-@3bivSGZ_x>#es
z=ib<0iF9h>I-~Y4{PkbW-eMe2=VKkgGiQtgI2g!GfI&A5LOhV_yJ7N*QfqVB?z}1w
zx^&uVst1Dc8zRN4p(~Gf!Pw5~@z)_g0l6R(H!l{q0$Ys+pgYJI+UxHT8h5c4w;8(j
zJ)1M_#ZGLTJhYKDV5q~i&2om4A-0_GI$^OT8&OlUY{@$+8{yoWey*GVx5#L;{Fpj1
zAlygLF&LOJsWK2TthZu%ng7LRNOx)}C!E@VbKKJMdEegJ9$gMmkVy>Snp%CtQJfqUt``$4=OkRN6^Q@m1u!m}Z*9$Rozv*vVL3f7#P`6x
z9lsWSMb#{WmQG_WkPvyac53mE7y(~z=r$PZctGdR@Z|vsJM^~>Rtrc)CTH<=mXeA^
zX(#YJ$~-^sLF=pc{5pJ%f=Ya;exWUHM=|Oqx9ATy5mlTY%(SqTJ=tTiIqzXwcdt|X
zTzJp&RYvGhbNp{l6&Atc(F3X5B@Ny^3l`cVL88D$lt8yRqe#CDF|vvY9wZR!6}*#A
z^gxSTc&-LulrT3~K}DvD46u{ZMGxDBQ^0uU0;wPAUn-x6?sdNu9^BB6alhG@|yZqZ)X
z2uG}fNgv|~8sO$`z2)^~8jII&rm?vEJ@!<~ek^xspG9TKLg)
zW#@^%(b|`DVSP%v`$t?-v}{SZ_}4yPI>+^0iZ=4dyo&c+D@zlQW~K@0
zS>#04T63Rdn$?Ew04SrCMk!l&WB5%sPcjRL0g`dmXcZ;qswsM8Hd2o9q5M=5SB*CG
zwv?2!vcyY>-*>mBLf~J_0XVFFCg_OKMC#_qlx9jzX#|(3*Q!gwI=60LYZ~D@@5(?h
z))^>dhbs@gGs>FzYdnWr>iVtM)i%P;m^I6kn${3L5x?xV^pk!NavPfqiJjD$F=v_y
zc{wtRH9HsHbqa60A{>#s)sy&of~SiYu3-(=yvNXkwM)yRx-NkkH7ygiOny?{%=pZY
zT^C0$+18kkdpS!AsI^jXMS79kkcjwOfj(-c`~|UpnA}BwLt`={%3NA3^)l;7$w7K5
zaf*zNO?HO;YYFN8iz3Xc1MgCs(AqbUml#Kqk?XvCPKDXCHEZ6~zpQMiCh(&0(Ve&o
z8yriIN?5O`Avn=?m=J%@XJz#3<&t7u8;Aq~bc4Neh~EAvHsESBbtM>Z66&fU+-
zpRIttx3bN5v!a^{1s#M83~@J=J&&p>F7!{zsCm>e)r?G%ecv#vT7_>^2jSfOY79*2
z|J5+mKxaP6BNQe8;emNEU?GanMKiYU{+=;P4zJp4;g%L}kRTXbzruCb|I7flNLh$^
zN5QqPUqG%qEgqnIDSNYMlWIMK4D%|7@hZ2F@O-B_DCQecQ_aPXl2D#bOk{L@AHCJa
zG3<0Z3^$>yyCX1zS~|Q{;IBuePFN_IEYU6?
zks)?D2d%U1L9(K{e8(#TBa9odm#H&foR)ElQ0KzpdV^#$f9)z9k@F|`@-P`HM`ORJ
zZc6Yf^K{8*^i%Y9lbRJSVXSmdG_1)swRfCHGeCA|dqqiDF)*Vg*%yWq$<&%A{Hl@l
zYP+R(?e$dreyQ@x38LZe4-;T(?UjmW-MU$}@v1(R<4^MVBn%v8mj7~JbMCN=^BYw)
zTt#%$-n_21jn10{i1qDK)o$+jzyI_x@HYbl#JNg|6iG#+KJ$#MrLQzII3Y`?0mEho
z*L5t=QzV$mzakqM1Fy8Uw{pZFm;i~5x3pzR%g@DJu0anJ|9Y!C$MX@EcJjQ-<$
z+;ZzsDA(HaGS%C}wfPyDN-8s%%$9SOBsTTPEd3@j>OtA7=+*n0u?39S?f(BKzyj0STyj5xUI-93=t?(XjH76=d=f-W9{ySoK<2=4Cg4$HfIRqqE?RB_p@
zJ9FloKHWVtB}zZs>1Bq)wrR65&PZ~*ILNy&J0~A&>Gijs?(+*D)i2THeaQ2^Wt63g
zhAm!R_NO97js|1d%iB8m`?raR;!QH5!$Nkz^Bn0LvN5o3$z6q0$mbU4h92j)*8b?F6cI<
zuu7E}ZnwXqG_EJU9b!j$W0@Eu9uFGrET7v$|C|Hy1z>wUL5f#@S(t>HD@_@vTm2Z#
zw>LvUz#n95Czj7`-)*Gv__BC|;<+fO(3+Yv?>~mlkMN|5PrXW-Ri3#KU*hx
zy_D?$W+ju$aqTkR4R8mKQ?hV2nBTwjdB3`MiTTI#^VPI~n&7yp=EmL*^2z)t{7JPo
z9!ey@5ALJ%zokh^$+vzziE${{<=owB9aKqRDqIl(n{T0Y2;bsTTjKy=!@K-Z2KD*G
zUB2Zjfqljfe@OO4_*|>{DG*a^>mV@cK>LTMQ>G>T#+kBtt8Gt{xB)umOVL-vPiwfz
zEX|b7E^D_g*{fZ69>F+A77tIOD37x-&naW;E_3*s{C(MuHLSfA4+UPcsQl#uoCCY2
zCUKpN!b2z{6VCnkIkUt6aBRM6A&DN@I<*|u@&hHosmVXW0f%TeaL%KA>A^Cs!P~z@
z)*;P3BvghA0}F!`^RYLd*B9|aCLEEnY8iV?Vx$lv?xDYc$IOe+iCGtW1eG$2Uu
z671ELZH@z_=blxTx|RRL8^bw1O?;e&^Wr5o99AnhHxN0?PQa8&V$_@F6@~o(23WFD
zOO_s!*_5KerxL;mfWN_o1$^r4DUbmW#@$8$wM5-UnpK?nSLMTUMwU!PHdIjNr4XG`
zCJw#@-o-%5>U~erKJd$7tlJm@xQ&c*%Qp7bxy(Nh=cq6op)gg#?$`PLdjZU^^42o>
zZMC%Y?|n%D$lJPu1RvmaJUAd1sG5}6nd6#!KSd>j^3L$1G%DJ^MFChxds@mP?669<
z(ZvdVT7##X%7!u(nLguEe6Gr4$(k*aJMyUyB8}ZN4i96p+zFVsrIQu$_M`+Ld
zMpXwWv&e?pU@-usl9oAo6AIw~M2`Z@_d2)D&>%(lGP5mC(JvHzHDX@~RM4a?A)m<0
zfkIJEC#L3$h02|*f0TgADu8!DJvz@eFZOM-yVhENq=5txEvuF5)thl5gr!%L?BNp!
zvwCo#_uXLlvv?ByQTUcw&dmqXt}Z;7ktjwd}T)8=wj%W#O9=Sw8ka_z)gEFzh82ak;ZBB
zS$b`kDIe(mqEkt^+{W-*^`dr@D34^Id=C%Q-P8Qojdjb)l(Fa(rH`OVfgiTXuByOo$SxTuoC6l0XYs*?E9XTd=WFy8rIE2R&wwTyFL=OkI%dwnoU!X(A=
zMj_qmzk%8FLGUs=WxMP6I-0hT_ZzS_sh5{k!D36YOuW}pIUwYbQXv4`loRD7BWzoz
zm|0sN)hsnOG#KNKSw7v|+^8L430(GK`0n$s8?ATvY1k2`e5C^rkJK1@m=^r?ZBi@d
zgEGnP$tTg-D0L=|9_sjy%$O8*QVv`#t~&U^R%x2GDyuy#6cKBC#IX_Z2Ep-cEIo3I4
z8EfYE$r`o`RnseG>Z$*;Xao{mYr!jq=*B1$OuRBWWLMifel+wz457&z_|@gKt`9E+
z?_2!}A{!6FsA?SgrdN?C!Qy0ywte#gU9BCy5^b(|fuhKFSL2jDJtg?fmLg5W#krV>
zzWKV?O3%waobW#5lf_z#NiOioqZ({!-dJybctWaRXQDMzrZQSGizIFeQ9|WM>#5u^
z>&^ZLcZTY_iNpz?+$cyD8ValJsh#nh2pS1D^w1w)Hl(wolDa)tjj2Pd8)}We{~_|u
zi+Tv!21+TsRP5^bxaN8Zp^RJ$fdisqgf*Za?NM$Q7kxvLH6lUvWFs-^2R167Nuwx)
zxN7qPXi|v{7`EQ7(kWlS?+S8j8|3(_QBZ6b;kE
zb}-#m$Eb*Z{xz5$KT(Y&_;XEJi~8cBlA?tzrgH|0k}AQbc?s$_7wg!_
zw67~m0}qFP`?!6pR$eDV3uUx`cmpw3M`e5lJPMbaO5q*;ZBk=o#fK1*hPU;bcpF!G
zlqgLIx^YA7u|{~EekFOZ<{h7d*?x+M?1Cp9iK=r$2uN@}?GzIpBLQSoDFf$e2~G8R
zidq@4hX+=FAx5(85vP^ailB^s=)krBKJcwYi8E@HUy
zo&{SL5TD*Dnz0I)WLfNXb)eOoX3DoQ?-bc_=6!m4df3A0Y+BPxwfJp#x#E~1I`$h4
z_ge|xpcHS!xN9$=4*pI;e7w!Y&LhvZT4dV1EQuX#*mAtDvh(i=6Ca(b7vy;*vR@=g
z*2(i_>ZMI*d=z!MFa{6ZI1dX0Lj5}HPjlHv_spIq0!sYDP!5>?Q3KEDI!)|;?8Q)7
z()O6Ar>79#l)mLCYVNPKUA}Y?zkFb4XMZ_62cM~}Yw%@K5jpr{%j8c{){54ROE^#xdh)1Es>#nzv11hws~qQs)zRV
zXF>mc4}Xh_%m$8J{T_d?R@5QT(TBqJn17+fmN2h@Y`sUbTkK$Jc4JFLjM@Gzkg`OM
zLe7LtTB7z1mxK6A-xh$BChznhTkp7Bu*wtGUsu=jYikn>p6d;CYBH5025gwGxkDuI
z?x@p-e*OY_)Yc?32VaEF1%G0|=I{xO8z6LhpK%$Qiag@U_Ls}n**wj^FabvUd~a^2
zf|IX1MDC{E4Bbv8LhQx%@UM^oYPV0q^X}YEn-||sX#xbVVS(uYJEooyLjt06%PH4g
z@AG5d-80v>3yJBvkoQVf(XjKiMaLR(R8w|V_CLx=j}a~X`a>n==fQr;`;%gJWnjaO
zCP$FD)x%w)sf-Yb{c+*hJbw7ra)`vE(W91lP;oOn9;?x{=_ziks{Y1w`F#y{wOM;>
ziPaJvy68nr@~4&fm7&`D1jGjuAWH#UJ99@!dIG=t>riWhzbRYDeM6&(e3X%F4EblI
zM5{l}UVpOWijY`bw0gII7B(<#A(WLhVzP*vo-AKSu{}NRF!}auD*}#`Cvj~;F8owL
zN4N{hqwLYKPnvt8vNxt#i(Dte-oJ2PMZiFKOv9t3618A#_#%BZ
zd&BHr08r#WaP&Og0ByH*H$w#YLm;@Yvu)dd@=tSL12UjV7a~Nad)BA$%oF+h2{lX~
zpF0SCRqly71?MgwH(!A7X{M}p>8rJ7N+CsDOKJVVU3h;5FpcD06oH6VfEcP^YhmC!
zvQk!uzoql2JWKLLIHn8}>h-2?i>
z{IGDZ;KS=<+**bNr!_;%omQ(5uq-h;G(4kfyTqQ#xEgx-tC1o@Z*Y;!Jqx@)YCOFh
zpD9!=p6LR*a9YDK5dS`G4%+ATmNp`=e=3OnR3uSGs}-3uVdqPxhu3St(?Hg=e_HhS
z+o>H%qdl|t!eGE?tqJMtnh`=S;1Wk33c>B(*y}~Mmp{>LI5jU!kdvqOUyv0+t(^_Z
z&MHgVJ1f0-&BX+GUhG!85-92hH%;EPbia|BWoca2GuiX~@ta}i)uBZ{9dVa+gvArr
znxV7a*ks~tkNTDV0@)a03~EmjkBLx)p5Ip53Ba4rM_sSc2r~$ez)A-!~%Yd>c){m#>ajd
z=Ra2SbbzW@0r#dUG};I+Z2p%x7o9T5)TLxvlm>(N
zaQyx1M?DQvcn)FLQ0e?09G2nb{!l}}D^4KxgDSW`
zDJ178!i$fvs8<8TKf%)6UnD4D-gLt@Yi0Lnb9m?vN;3r6T|r|xr%29lL)-h?h@%Um
zGf1D+Fp436uyX;vtDHZ5cIg7{9tTH-X$?y6*=$o#L%8pa=_L%{e9}*WOU<|^@xN4p0T;yS=EG(!32*gQ{De7bks*IK(mJp8%$?39h>p?uo?qACJI!Y
zBa{7J0*BK^`}=d%oou@Sd<;&1SpSX56pkByUqvB*&hO
z#qP3a`(pD`sgH}QdwO8u<{vS(f`f^lE{}{~X+ahE8QIm}dCu3Cfnz2esQ!8O?HqRT
zGv&b&@DI
z#(f|u(PZD7sAy}CROAhvE0)m1CT{G$7gu0~9}BD`eC;B#4i(QRK*{4bX*V5v#BsA?
ze;0WG7H%M+-ee`U!>g+V#-be!+;BrdjsKM+?0bBD`cMlAQIarV_f9LvER;LK~t;k>*0C^G0S2((jNX
z;1VaG+OXBQdhi#y1ds0n%Rnq~p(0J(nE7I7fbjjA5A*Zg>y6Yt_&NYQ@iHy^iUE=R
z_Ojm$`~}CBTTpP!Lil-+^0~M?mi>&SrwfwR$N>GtD}+)O(7O7A@BlYY3kAeY!f>Q-
z?S-RDLEMcLo)bj`Fn>5NtTCL>55D_94?J4tw&JikfP_$qvA$=yEnp%Nn20xk30*(9
z8^zsC>j8@02?)J6U2C)V(?zIM-8*n~MtoKYrt9@uWhl?Xv!J76#YjYhUpie0h25|M
zBED21hewyc%TseBxi>~^q|3pb&nw42ZU4CNK@&{K$NU?b;}hu*sK^?de<=t!&kz67
z;-eBbx-nN8u8t06;K{oB;>83}ZKaqqa3n_0eAcTLpF|iX`CMC`E@*mcHC&4oGFO
zm4A)=6QTfiZXPWZem#`&7vkj|>Om16egEnD0rS}ScDHVvw%5jGgnN}s{2FF55HmSF
z-P3-*CPT&kM#U2Gr`hlAFdIzkvFe5sv(2!uKHo6Q6?0kjh0{8&K3N|+iBlyCdO8Xw
z#7kKC6#06ry9b~@EfS_hECgU`M+V3!@oomZD*WSxGkwF>4r)H_fCwGn7NyXXlU*3)YC?(X|7JAj~_@rEPyxqBcjrm)7uE>9fAIPfR{6g=P?CN;Y1l
z7N2=)B-bYrBl;IbK)3^nO&!uf3FLPozZ<0(BEjL;`}K*&&ev11WdM7*9-zLD5x@Hh
zNy>;3E_BEF^-1l-RZ^vINMW{rnuGs!y6=%ncG|Px`u$_{`U8@2HLl0HAGbsd!6yFt
z1GK^O()__mTOC0i>c@#|&x4$w4}%gy&YZ|vt&m@0%biC#Qy3X;5(@;!
zc|F5pK4X~B%Nh3Lp5z&Kp`LlprebE?29t3_v1$feP5fT~EeG(h^?Nswdwohbp=Xu>
ztDfQxtRMt`J8@|ktu&{Ev{T2%NB|boItQu+kd~=yXFCF%d^3m1ZY8$+E=Ih51
zrY`h|Jt7UqtoA8U2JSDVZm575gjFge+@M{4HCySQitJf)v6v$lcYvWf243WSw_x(Tlqb};7M_BL>`+@dKV`ai7Jn;93
zZ6Aa$UKRD4Li()ldOz>iSbn5S#)
z=`ci|-)SNq<{CTP#Qdh_=EgON+uixyc9mnS5gNkdq8<`ldCRYpCFG#Rj;3<^BpDt#
zSg35tC@@5f#6;2o3cga#|7W2MwdFS=e&hC)tfijl@N$Z19w0DZ@J6}2)9i&
z-xXtX;~{seUwKS|RQiphr{2ya%?V7cNx*jBJjW*9>P&#{D_4h>&;->QXz{Z5wN5o&
zHpieC9Sq36BN4{0xGQNZVm~u2EW=?)de$iH)Xl+c)~84c5b4gOjI2YlewPz{va7!-
zp>>u)rQhB12~;K%!oyM{oJ}^P>7YW=L}X-Zcssq-YMrH|bm&BBik>5h6?5$4qh)Hs
z!@AM8Rm##$w*aG3erTZXj`JcClt0BFB^e*~kWZe~(v$Wq#6On_!GUQ7;W3=f2eGY7
z`iXop1B{Z`K4X_R{_F{MAt9m4)6r4HLs##~-_rv^cdWA0JIrra%==IYbhRhF_IL~Vi{2w`e^9Df>?9@?wDF?VnKTXLR*SstBhZ%u
zmR3^bcy_QDA|ikkulHv3@2K7X+3gSM;GNkwM+eN_Iz=6OG5|_?U4e&%y@iJ_hT7sr
z5Vv%1DR(kjJYY{&RyEV`#d!B1nJCmpTRNmDXz+E%LQZqK=wFD^f~-I@ej*yk$TyW|
z9S%pA2bSS9t$_cZ)gfPv!l=ZYEa^8jMs=ylEnOP?#-4t5jBBsz*zc|JPJQ@%!#dkd
z&4^V(Asy|nFN;$bmBiVi?Yu(m&2fIKLQ)cJ+SM22td)9W+@LZ|*8=jp`=?TD$!QKd
zw{mS{l6kjBl($V`$K&!w=jYSXT8i!7a103BrMmEMTeFL3#83bJOEtaYnf#0GKHLcj
z3BJI}*xe5R@8hhh3lQy3XM;IVgdRxNANsi;R`!J&>HKCYI(`iK$?lK%RzBe3w6Ow=
zAw}@lA~I1jF8<7wd$$nN$~FmyuSajfl-afPq@Oy)DVr7}{oM^J6Zr
zmtH+rU!ye}pZl}j>+Cmy&e!EmL2j7?@bmfpD^Mfimwn%!*C*yX!EPOIujkj7
zu>l#rLY=11Ap#E@KiY1lWDq*sFE&Jko+e}U=kE03cwkAHij5o6(8D1Mtn_F7bmfFo
z{7|?XPxoM^6#zXo47h&DXzIA``flaJ+3>2nlv^Ak-kNe}_@-q9tCpcn+kX71G-l7N
z)Dy;PTkWyjNX&%mp@7@wG}^=_Pqo;xo0eS$z~zuiyDa~bz+{cAP)uV+$J2`Q;{>aEFbcdhd^Wimnr
z_1Z4Q&U~43`>%BTUqS;?jyD}FvNjfn;UbK%zLzC!HQW#h{c{g<_xa@;Ae=uBoY?B>
z{WW`8Gz>~OL0g6DlV177R@FwgtBY2ma$FtOt6fk!x5)CzKi-(yl5Nn?7l+o35Yn!H
zQGXHAc>|PVjD3D~$+gEhPL(!v&U>psKk-8`Bjf8bz`azZ;_@XZo}92W<;-_y`8_Nw
z!b^lgeVPtxVOA``6F7FjTA6Z~Lbp-hdEKycG#=fUX)^qaBm23kyyrK6Zj)7lhyxdL
znV;Hfi0zJx`t;lgfX?JIcz`p=g-0u2mnwga=|2)1&{B53J$EYPC~mw11t3(~^Tq`4
zS9kXYV4b(6MqiVPjYb<}T;D&K-EtX))uafSLO5jwHf&NN#(Ed~9j6@+N)@6>+NTv;8
z!0`($;Jv6lgJo2YSg!T)vUpBU9>Yh)L#M=SFfzf7oUn5Xjt0)t8-yBosmDozS+?I%
zJT)(wcGEA(G_$Z)VGqnl4W=_)NH=Apakd$;7n=20Z`+NVhaah7Iq5orIdkiP@RAB@+fCRG|}r{Yj6{5;fC*FVS4m!zj`AanB0F=`?u|SAybTU
z8F}Ko8+iTAr@?ly8@SOYi~cN5Iik{cmtNq0#f5;+HEhEF
zt~Rovp24Q8=3J(EKg;K#R`{9S|0b9C5~1?~A?5XX=}9KdDSmG_iva)|zBz9nz$5<*
zoJxcSuV>j|^W$g;jB07uhU^YkU!L}|^(LWA(=#cJdTD}pDVJyeK*N!Xr`P&^Q6+iU
z?La{*38R)_c4-g_q8DT^LL)t_a%tnOjSZ+i^lzZ{)^J_HPg0Ixk2caT$}nf6F-C|4
zd*Z+V_ZBoV>4D8jEIph{YaK9|)yA)!PYFVPi>^2>WF71p-ia&IzX<5rMMh7gvp-wb
z->T>V{R)H($dxZeI8tXB_edxsJ^0X?ec>PaPcYYktycQ?Fe{GxW+K^7Y%=pNnr_lv
znsCq-zxnVXtQC41kR=&V=XDPsU_Usu;*C02wC}s5-G#dK6&}B5H|czI1MpQ!rKeVe
za>UyM@f*4DnsSb;0=6fPVOd1GeAS+KBK
zgNLYEGXaX%smM&YEjWA))L-Ws|gJdd!NB2;#4Z_zxS^(M)}OpDSJ5dJlg>rzHa
z^eeZ$*4oyeWcP&ZQPaI@+@k>4peP3HfZ?WWbWyl-U+Ny^d<4_x7tJ3dD#TvB$-RC8
zHr9b)BLH^gOI&sQ%_5;M32;pFtn+f4O9z#nJSQ~m&}UZLhCZLenyZx8b{4F}huUId
zK>Q3W{w>K{vQ38~0|GdzvoWHbz`NGNDs}1w$Wcbt=s#i3UWeaFIe^P4RPjV&CGvy-(eYdXXJHJ&f
z=D1&%8AG3~KmxL){hmUzE>#4Vy&5?!r3k9+!7*e$K#h*c;MheVed4xEmhc!gAG%?D
zjBB*LbtfiE?tilF45-C`7*90H>Wh3orzhA
z1!=2Yxl*^eYulJ_QTF%n`eG^9EODNSpkMh+2aH{hZ8P+#L1!?vtddF7(>Z101Ys}?
zxTRH33`E2N`#37ge6tI!fvcA*QHxMzG%?Ew?h8FGQe&tOT=*)j<$!xJ*Hd5V_3g9%
z6n{c5FQRhO=Ihn?uzy2f(uKKR(cZ1#<{uY}vtGTMFvsO{`jPO`z~U`*KW#vNow)G3
zs7m;88*YXnWyNHew(p;thvbS=`+R2E`&K*y?vz4M<$b-~ir?JRz1!upZ#>1`dY9hD
zRplxFCTII<_I1o?Q=7nUm15(dSDG=M2rR5|m#&;L3c=Bbwg3eLowXH`f4iM7D`(H1
z_1&5m%!N}K%*zkezd`Cd0)AG;^Uaiz<_G9~5rXaWb9Ikb=U$EE*9ECYx>h6TKr-)M
zKiE!z2_W)5Aobto_BT=MSt+N=-*L%)CV1QJe8B-xmp`nqo9%SP_<4b2YSBM2O#uVY8nO&qL)->1UjSRxe>henHc
zicKufME+?%6&{C&c>Je^`aUD)YmKh6c^3@l?CcZIH#t8`Pv>1;|9^a9f>zEf?KWxaGv!&9ojTvttAVB2eNq6GZ&%6U^H%M_Hrl?yK
z6l4UKQG-gg+5}En6=er~tTWm1LY=sq&mjH*lJR-Pb9Hz)oY3>)MEscfLF>|_&
zU!S5GmU5{kIedp3zbXJ)94q8syH5Tr=EDTqy~hD3o0Pje@co${HbIEAp2~wIu+K93
zv$)mX2U9&~i3&=h4P7Oo0*+WQ1fPS#hZ%aYkWJk;^^>7Ex9*&TGIo>ptiYa^^e<0;
zC+rt+y=g11l(#9c)N&_|4C(YOD<_ypnCpaHt0qNr^Y^|vX6Z7Hy&e)0NS?1;`Dx4K
znRKWGBo#YeiaMSQ|20rAz`OGXA?|y%+|lLgQ9+mjqr1Y}kG*7OKxkD@_u%pi^krZE8<9X2lxr?Z@D`_z*8|>OPga@}*e%9w551xrku`WuWMbEj
z%vO}wD?9rS4dFHTqIlYEVlFO%W%53c2FoDw3fd(1Ye~LPe9OUe@|i~oh3)!2-RD|2
zI62ph^yy1<96=slTRE4TzoVXs{eOcLy
zvQ`MAX_0{UYm6bm{tdYJVIg#arh+6>*BIx?Wg)|%Z4&J2@~D(fw~=~0ZJO-j>6y87
zbN%Rq+ukMg6YWq&Cj7;j?pb>>2BJ4w`)?v
zLW=QwsLYwYFLxcvQ_J9gMRH4{-@^YkaI7(cAlgTVH({1BOmC9m9hRq^xsxL;t={lZ_6JG%V#R4&5btlp1JeBJ+J&4}iV^S&KNS)ImZG1%
z6&%Q@?U%Sqo?CKCy2+@R8L%&8kx(FGv8TOwlHWRG+g5dteq?>y@fgu<*F*<9(?yJE
z{CxN8;#W+`^&?9A@WhL%5V5jtx5BKXGJ>qKe={Gvqf;Dti`j9KnyEQO^Gv9Myh7b3
zS}Hwwi`Y&3o9WU*I@U(YN*Q$}96fk{L^@Bg-JbtA`2}qd{`-
zucuK`oKFaksy6+V3W)bRv}++rb!#+(U)uB}ks%F)(K06H8yrgvDOz#l&730+ujN=gPlB6}#m>(PR
z=0e<_WB)+1-Jqnw*wOSr!OW?^hLdDP1FZQk-X(YNvF7)ewR*&4QIk5uLVafH(g+vp^dZzsv1fNdT49gb-7P&J|&sxt>c{ihClPgY!^QY#zl3DuEJ4LDy2;J
zS0mdfHP&68_=D+T=E)7TL$7-I2ztE1A(%(dJ={UfK)+pBJrIb!N7YL`g5k6F;{PY`
zQvU90j!Idd#B^*C3dPR^GVH37O@-WBfgs~=dV3(OiGQm;cZ@hYZr+wwL
z3fa+|U*Ew&v~O%tjp+Z4qQb2Hp4l5mecsS}(HZk@JtZS_&&n-#Xex3KBZ&a;Z?V^@B&&&T9^NexBOX#W%MPM~4`*G?^5!qeg{e_L6a11%2
zz725Uo>o`C@xrNDfcJC$uk%mxIN7JK906?)3K@6Q04RfX4Gzh(+~)zU^#Px^^Xaj4
zVrob-*5Cw8Lrf<${8oG8mQ~&<&S^!4YRV8Blw|hra4R9-n_ms
ze1&qUeN3>M7ZK8C900^7;!U
zO1M$I;_rPj#aZq$c(@mE_C{MG^&=O|bFBnL3;F6!eV^}PyD<1?%Mw?r;
zJ4S0W^;z9FoET0QKcd)l^{+I0;!KcxN|&*=-hEx|HxbS%*gw(t)cdsV_aKOLBU}Kw
ztw5KQ4C!iiVb8T-#Qk1Hkjw=|U|SU%t{TiuK(oK}TzT-~$^Mhn{!T)zvXZjcMI9N-
zj-T|H+gIt>=9VQ-J%C(E43qvvVzdt{%Z8wksPO^iRk&Z?Ax@LpxAyK+hni37V-Zj<
z2#lufa6CQEJ_xD$Lhg&Y_e)RxE=bGEZ!}UIz{aj{)Rg)>qZS#I)LtRjHXDrUTjdxA
z!`ABA;GcNu81qE}(=1uTGd>oJ*rfN=Pi5aVq^I>7#zB%L&(O?^p*3J+!sfl?H@1>s
z6QnxvYPeg5evJN`oTe;Z-N|fPN3P8t=E&X$A2ZP$#mL7YD)k34d1gnjFDoldu$@%7
z?gul*2v_A;6GI~d86~PETZMTY`(6ilBO-KKN6ZFS$CZcmT=|x=8eKAHs3lEr747-C
zM@FRRF|BVCFE*q_3{>~&3#|mJrYsK&s-k3j^M>r7jRpLB3EhS4j72PT;~=;0>_Ib
zSKV`*yIlk3XF~R(?*ZzzCrg(>a%b1RPe2AU!z=j&XNdTrx;Gq*QED^_OJAH;
z)8A98$3KRO<(sh@)Oz|#AS?^`gME1t@CvEpE#M4#Y_K|2D8wA!d$>^r}@!|XN__WdPG}6!b8cxy
zt1H{>g?u4dV4eimP-Az`S{a9{|4V%KIh+D6RDGU{;x@QUVx{6go_`tU*gMI#Vz%A!
z-05ug!Nu0faFt84Y09c6Ig5oGc9=VPPg+$rP9j6!?x0VlB&pD5R;f0EiWYqDbt6#D
ztn97CM{U@dOc0nx7^MuDy4p{c!h=Fu#uh1m(x9pO4ULAN-D`Qcg{$Y&rs_64t}Sv9
zugy1=*yiI*_+;qRSc%7Xi3ZuV8wDJlz7DlSd?oLiTde~^0qVVC@hb3~+=}B~Q)@+O
z9OxHzj`+68b`3i^Si6q>9oEpu+O_5B`M&JdS7aM#`0vo14P?Qpm1B`Rq$B#z3P)2i
z*{cN%4-9D6O@)k^er4sdnSnKaWrO_n>yynp>q8!#Y#;M~FMvKXip9Mn9mrGwWR}A1
z*@x>=x2MY@1Na@uoBhIcGA;Zf+ZK4b4AeV@9t~rpmC5H=V;q6we0F2l>=Aq85AX$?tGxfVgX+u|&t$!eYuAC8(fw#5kYts6p&#(_4`dUce8%ygyC02QJ)+a-Hdav7^jtDxXsN{K0VMJF9I&#GgAP3g#}=L
zN5LU_ALu{;7Zk$X9-|O+!1K<1rY7B7yKxs%8s+tdx_@DJ?DLR%{c1lZQxX
z^JcKRq9Yk5?LAjupMI57eXk9^_ORGHP<v
zp=PwW_@g|GifRHhUaD~+x8x;PpHLi{JXO+gg7R$SVDr$Lu
zmG1TnDy8u>oW63y{J~)KyjL|xIT}2AUueEH&V6CxnrDE3%rq?J7-O4556c-$@5kLJVXM*=>-SaoRmgcEZpRHHJQ
zXmOD*3azOxOl+_D@1zfYLw4;IR?XVvzwJ?tr^|_{4v~{G_u}wi26~v|m{f{8XP2mO
z$E*z5N_ent#l+$73{~E31s5{VM#s!udaLAr!8B60?-w|SA6u%}lG)`^{1
zKhfJKoc`_mO^8YGLW?q2X{KjzM}$g*OhCE9@f|Vkl1MI6rJqs23>8Y@QMcIq2s*%!
zl#f7uk6Ir7nz~9Ld%gvvB3)H+k^>LE#WN(5^$QGF-im8#8H3%~J*&Mf_*$jZP;0bC
zbgFX9AM*ED*(vC!wED>L0I0}Z`&$x~1KC$>7;j%X*uF+%(St`Pl~lnENr#!%Tr}#d
zYQ#iG9VGIedU!q(5zys@@7tSLUt;qNHXeDp+363wdXE7bsAe0qB
zTfABUSr-VQsAJV(8UdZ@D5wy(n(uX?>NJO=RO#laE3hG|t=S6f@p&1yGPCHEj%Dtl
zV^7;(f8$9j#}ts)y4@=e(batE?zMCr{Ep#Z4)
zXTa>Ml)ujzGsu=fS?+TRo2_xC;|j3_tA0*0hgET0nXD5RXip}|;Zk%PS9tjqjcDwo
zwN77yr)jFW;PpXymll9T7L-owgX|JQ%V-H%(!n>l^>}?=2NcX2Twa5i73B
z|8Z4}i>umxtMr1ZeDu8roary~o5+vS?^$Ex`J93|ZxJZJwl@dIAbCTr(vataM5S4)
zZ4=z)nQE`dMH0WzX8v~b8CG|SW<3uNGBcP;kXuk+Y6&-QZw8IaiZ&nqLxjS+ALbMf
z|BbEfnujTB3BZ~P*_t_B)a1|DeTl|(CfA(EDaL$L5tlV`YZ#>kv3fHRkp2|7g9A2P
z&p@^>9|MAwf9kzx0v)U-WMj#0@JCI}$yzwaCn?eS&mQ%8rDm;{ZNvWR_wa*Wa
z6|on)yB40!UJ<)_@w@p
zsRi&5azNDtkjJY$HM>))hK|LHg2hJ2
zjpNR}!Xr*^FLuJbrKbCr!9OZRuh?qOoEQl=;C{wuwuYDfM=P|dSWp>xcu3;<$Z9aQ
z)JD`z6Uk)J6g^?zDza#Xc{$QFQ94kY>5c_)q0PUB
zgW+C3i_Ox%!NJppFfQ+!lq*)v*utp0yNliIHZpbU0K4$4!vApIDl8A+J%fAS_{XMhtAMnEE7}FEGpC;iRo5vMx0>$4(RqFA;f1NN
z`*@{tHJ~!oBT&$2TVtL21jzelU(bSe!6Bu&4U3-6;se$qO2KJZ^mW1_@D
z(m)RTl^MA9pKBj|@=B
zO!@{qd1`-p?40S`@&cl5dvgp@<$Yi`>0Q2rSIHfl0iCeen8Tz=(t#V_fd_x(pz&dK
z#OOCO`JdCW5|N0_g7dzWBT|IIa9m?SL$I-4^|HJb`q%aL$pELglCm`ZKdRm`tjezI
z8b-QQI;6Y1yE~;@y1N@`>F!2Cy1TnUx?4b`BqSvK7T5i}KfdF@KOmdE*SThmG3K1U
zYP+t?V~h?zBL(G6cF6(cB9_sG{AuI`7t}mqm%KDPv#5D?#p&~M@8sUfB*WKNm-L`C
zbWo9ZNXpDlkwfF-Amh?fWa~I;ebc>9AU?4Cdxg;9(=XR$2aCue)L7G329tJ-86`>W
zR8&H?KK+DCKd4Li)Mja+DXzr0`=fKfce4byQLet-1)-yz)SJnaz|9l`{N7j@%+VZ<
z2g%yASF_uo?M3vKT7x;s4!FX7dxwuE;H^o%27D(S8R5z#^)5$73xu)w^?~?xu}XBp
z$&G=Yi|3C;t+!5C;F<|-K8Q@iu+dA>@h7jx4DlYJ2Nh0&a(z3P506iDaw=Rj8qx9+q)LUYY@2=`QoVbd5Dz84nfC?wEya9
z4@{E$9+de{mUrQ^-q%(-Eut2byJug|h{q*u=!iqUjgxAP!i5|GIxoB+?E;};-_ZN+kFW6vJH9l$Y&9{?5W`9
z`FN67eabd$7ET5R%qH_p8EMgzb`XKvDxNv-OrBDUwZW*OC$qoc*j}GPIZg+ZBhOx*
zL;)a1WW~j4MMl$;9ov|if?JNx4_-ZM3SRW`tG(ItR&jt5I@bZ;f>w{5vS6LjIlvpv
zVPeZi!o1q)u>&0v4zG$uBWON~6F|@AWJ$FR6`Pe0l8DBA#}wgh<)K7!_;T|(
zb`}r^Og8d4)ahFG77*&XkTh+{Zx-@COA}C{zuFVruO>bmcW(fCsi;n=Q)m@La-(Kj&{WqYE=0KX
zyS9#Qt91`~{0axBGQi{-kQ{weeYr-#su7uKt|tGJuwNgg3%{
zqI7w-M%O9CKiIQ&NrP5(FLcyB$u?2Lip~H~bBxUB8_yE=^yjjV{>4Y=t~y?n1283p
zFo#KISczujXmVPU67N)<69kS?$rEK&_GcHm0L9><@8d%@C296j6B@8%$~@-VC@=RQ
zO(KJUEv0p;@b-rt$5ajK4lex=-*
zJOZ)>E%xWE0T*ykGQ?)_3K9GYB$pMIm0r!PgBi-*iiZmi;!-zuYcenAoQW;fvX=f(
zK(4syH26?&PS*4AOb>G2v&b--oY;Pu+
zqv>V2TJu!O)=5(3HjW=;@F5Z8DrjEc<_2LH)IKif}aD7OPqIi
z`_|ujp5=$l>$fkK;+Rnxm8C71%+O(I_nLO_qh=8i&aN7bO2dPX_0{%1P(5AWr=YAi
zS&<8V()EvBHH<)QNy}LxMiWtJN(cP;h`K0&3w1~MKMk);WvL&gA3ni&&JCfz3w)Om
zmsZA^`J)mUPKEE@b;M^>_e5#2Jw=Ci=kDkq9$-TX0`2UXwCO_UGG$dPNVE6#m`4Bv
z!pC~I`Rm{Vuw94zro$Pmp5dMa17k`Zihu3z&-7c<-h*fg&8}R
z8-`87S7-B9l(d}93$AA9{JKfs+}$VTr%2`39PS19JKdM=n{>YE^7~N^O-3q=&)yuO
z*_O#P<`cq~lyfH7!#NJ85lpA7CymP=~2DJwG(q!lJZD4B4rsB!-sLI*+^&!u_gfN
zKe;Z4djbrTuEkTXYXfKh8$ju8-MygnD)W*cy-!Ig_$Cq#wYyb)Ql#pAR`b^U<(6Na
zbESK$Ti6AMfeEF~-pfs_da(fvom}5IU~OF%ghn*WXRcIpO2V_8OuG1wS#+DEc`{>N
zoy(%f6P2ZD0Ki#d?c}^=)<{-D*THdMC_5mRMChWPWvr8MXTbEQKC~oxsfb`oZ*lLK
zc+-Dx_AG2M4Suvevhizr*;;nC!<}O#Tu`5JXZZr1nay8B1i3%AjdjQ63UnAZ0Iixn
zDK>~*Wb|{f8`GQG0|xZ`04|K)!P>cacBBsQ(vVPTIW$7N|n*{r8(}+N;HXPizwH*PZ$S0=1@j`nUB7vdIfZ
zN^7j}_uU^W$8W1?O`JmqZqasR
zR{hzId0scR;0$t`E7&7H91_?$C|h@%Y=)?nzJUB
z*T|54!4=Dj$xy#}@~Lzt&MrQgEjpjmKHHo;L#OW2L_~^GyFn_RfdfZb)x_Y&3_7U>ynyvqoaq#7oz<p%Y82eEz-zj~9}k0bRs&qW%Lu3!IXXK^`q9I>W3A3HmI*j|!Q?
zUxVslarPMx8!2w=Ni>v?$=U#iyQ+Tbt2i%Sko85>fVByhu_e&Ro$q5m3T~^?X$L7+
zoy2sw3#f^U7nS{-IaW(c}Rd*rzy85zOMfa;r%NW7g4bS4m-h#V^xm~ic(Jn0A
zW(7v)h=R|}e#R9W|*V#Qo!fYt-!Cta`HGRHv7MdBp{
zn%yhEBaUwM$2UFSpT$l$chUmojzmrD=3Hcmg>4`wJBEQPZOPKuBV&AOL6y@Yr%rlf
zx}hwKlnmP@1~%chX~*X*2g-Gp-w^$vQo|EYjYe
zeHjofC0+xLCMZLSiltQH8pE4vo(Db_z(k1Sd
znN05ndA0vJ3EN;GN@C9-C*a
zhcnRY@R|b8@^I+%6dFHs_m7)wdU*ecz-WH%&)YZz*Dnn8yj4#cTd$dP9ZY*Rsmdsl
zLvH22`xSZLzd4G$3~W=gtxhVj{dM`j9Pp7N&;m_F%yU$#Y!ci!Vv7-yVrr`1$XPdb
zqrmGN{T6S@(_tuxKo9H^agSR%+h3p*DJI6^R!QR6-vJ^LsCfVh(iIht5ITfJ-)Mc&
zToSP7q*twXJ_X%!O>SWhi~hZLCub$8I-l0xkCC)wiF8Csk1Qk}wvQ;lT;F)-+_V$O
zhew?dYRXufnnf~pj2f#+%o92UOcEWzO{wDFjex-IT*)zAW*AxKh!j9MoOabQpk#o;`!vxC!VV|Q
z39p^0E7-nc(6#YprY5B*P?TlwcFsrpz2Lx#HK=8SvQUPDEOUgTmugStoO6wdd)&;F
z0o+hoVX24H)1B*0Jl2l5Y@cRQRr*WLxtjEdCiVGG0LQgSAjR67ZyMBE7qfE5w;_#{
zrN`U-uL#4rA?xSpj^S{mxGS9#dMVv~@L>0^(uvo?xuXh)w%O`F2aA6+85BClG*cpgg!015+y?8~Eh<+psPj~g;Un{>mNBo$vmDf+#65;55(;Jk+>++B;c1%7~bdW*F7BGR{Hy^|>>pV3~2&3KL|f*A@pg*FEoE_-S?x
z?hJC@AAT#R^y#dA8;jl-u~*trs9tLTa9T;jBIm
zf1G1lK5uT49E63yq-B(cTG;T*C0UBFp?Nl&w~`$a@cEuH5Qe@0ut*l%{ZnT3CTYI2
z`dV_UPkcvKf00-&wm0`C3*UMIqS5x`5A1YR?dG*bKFam|JEHYD-y_$|hjxjnma*0k
zBZ0)eo%?=3wBc)Z@HiP}ro-DiRKT>@
z*S)~$U;b}kBWv?bZvg&ZnHS%~lju;@g+$5^Q?;7|waXJDNEbT^wvW3H*gk^e4O1rc
zgX+#2h~HP{im4lrS2m+P1*FNRh<9w62VDM`bW;86b-QpA7cE>2Q|-tXxRfY>S8F}y
z5mNOI5-E-P=l9~^Rpl02ZoT(C_e*LLE(raqFVF$aHyq_Wb@-`|ymJ*qdaFQI%gffAZUx8ag35Ee1FFkRzStkgg!3V+|bg;k^I
zm978EU5Wz$+x39d-Aw|hc3b#=n&Av@_PqkF{VI9~N@=-2nwGRv_h|bz&2t
zywewmyOOm7CAj&HR-q)8g1-((aYRQb30
zr}S8r-m%SbB;mL~6H
zUn$AUEgzi)$T4TR!Y1N5#a^aaGl3#~Dg&g_&@>%>XH$}ccwv`I{}Br{
z_?i!!Z9RLh;w{?z?c;noEWqNasF?BU6;+l$y%!Lgd_Hy$i@`|z*b?`#<^AVZ1}eQ$
zx&GQ=^mKM13F}W$C|YLYO?uooz)Br(Ab`JraXpst|Bi1WSp8k)4J1e+VY83!fq~}H
zce@OP8<9We#vFOKUzI|JKrVwotkd`)DaG3x>qxc*khw=
zkJ!jL-%s4@*YUO-|3-rp$Y~#e1TawBt~2}tpWQFAoaYPY5~&x@%jUC`9IMGph7!ML
zDeb(SSKXGj0%)Qd6T9xTPh_rMKb}i>QyAta6?>gQ+4y=)zX#}KOnb7uQHM6hK>c$plc#*9~2DhcFr`k7apsGO{Okh}Tvi@zBrvFL?
zTiRs*Yk6{eX$ky9%us`W(T%?huO@w1AGfHM)bN4~g#1Ou?CtuB#lEk~leC+WCFC7w
z-o5u&FR>PQBU&=QfW;&8ZJzlH$pnK}Ur5CAN4rALx#+1@yH5`Rf`99|L98=pIyq_n
z-8l=7S^wfO_lO8U4L+eG?z>h$
zDTN*=YdH?se*L)&>__B{u>OBqfC7%Yrx;QK7uNKmghl`o>E5-zqZ?rf$nMeg&(zE^
zX;k|nnvg&Pd#dRF?Z$m8$)`6N=k?|f6PS0KUtT4Thz?k%aa%c_y7%q_C0UoiZu|aR
z&9eB=;i6TXvntx~*%j?fm5Z+vhzl_tUSkZ-2&>L_1FPrg{
zxqvj%Sw+kyhDx72@pF7CA`ie6h!|eTdN!Uf>4Jons`*DIrdV`ncZ9vEuIg1PE9HSM
z%B#vN)nO^17b?T2_3i_e%aphrzqTI`JAAFyNj4>vlQvFKE|ryo0Sc){Ha^fMK%>p$
zUL3Z>zbq3F1ftTeE4PAb6NHFj$!gl#a4GM$pTzvhd>_VyOz@ZV)L6?h6wS47;tfTb
z=`rKctzDgLKJh>-&{h5j)UcmIJ?A!=J=yZ;Rb{NdY3&-$o?+A_&{L>`2AjiuGw>y-
z>fH|=2&!M?{dX*Fw%3~tG>6t_pM+SeMaSLQemD=59Lj0vB(}u-wGq6~k4w5{1XRN0
z^7?$+T&$$!H`t)!5;1}A)JT%NyLquI^7Jys6rS&Oi4nLJ~KnVli4AR%67jht)qk2XdcS>n=9UEOJmT8u?
zicB3`CfP0{GG9158W>uJ!mm^GEb&hVRT{w2UaM-aexrpG6IQ*QjNx4yLvN2RdevryC9RI3MAO73@7Yr^P@!li?ByQ
zE7a^P2yO=r_{$)NmfZB0)rifOXCq>8;Y@FH%}qu8;ucNDrI?EjUlh;o_W5v1Xb99#
zfIRqq;kqxA1_(=B*Y?pdjD%Rw6D2HVS|qh4do8{zLO6Nay~qElN^l~>F^r@o+`glc
z_C)fv^+TdXe@C8q27=0U_6GHYK2c48&VM>*N4s0(z~O*yzRSK>1tUdhWfI
zBQy%oGPb^(%$nnWGh2SJ+U{E({{IB2w(xm9lDL
zC}rG_Lv8079ab49{J(Nl&(UhtlUpy(MH*{k$b2O4gMdZB70=9Wx8NPgx)__;$8IU*
ziBW`tH!}b2TV8_ba=~-NbAnNfQsB-Im3GmpRtV;f|8R7LU>|Dy^S9-&R|
z`CiLk!GVdhYY+~*udId$Ap=cTTyvu_V@+?B6*AS5C<~&QLq&oH`-^;XjHh#vxsUaWDE!{F
z;%%pql%`?pT6i}31xmGJaIBKY@1}<4%=Zsz?v_6`r0}u9fi4MV5rMtMTNv0g`$%&v
zWDy2?R&@2+w^{xj@;&-nrnYdO!qk$$c)RM?*;Z>!UkPxfX=m?5~Z
z;vn4+KD0BEUS^hut4X4oETxwjqd6A>41aNxh7(@nxNy-YG6V#P*#$pS%gnq(nhYLe
zLbSH@uR+?w!y87zGjGdH=KiENDXoDv+{sh;9XTRl*#`BJk%4NoAm5tJq8y}Emy0Mbh%8DojViXX5X@#
zU30Bx(W6)=Q$R>sX9MT}Bjz>QX1RbAvg#BS^R5W0rVC{)%z<{zg85q&V}bB`D4Fhd
zAea={MQK>ZuN&f~tL+TI`nikqTr1^0Lm7UEbe3dQ4JXEGUHaRnk_?XwHTTXluy^an
zW3dMH&j~s2dflF$Ij}2f=_iDA$06nveUHFzx~D&Tcb=)|i0v_~+G*w3Y~@)0&x(6#9N12B-G>oA$G1EwtU?Xm4D#ycMiyT*#m%zA
ze+O8#zDdB+ZppUHEVF7og-irP-zbl0-#=abQz7dObZse>afv<4HajluFiuUz?pKUS
z4rExQoa=ARy&TJ760#ygTu$^uh9s0dG6G~^HjhopyU&d$qGOYn7d}LX#_SU^4$(Rr
zq$VXR$HqH8RU6K39Vts6K#Vmp9qrRaKm
z`^lki@+xEQ(Tdzo@iFaZGvbYw1pdIV9HjYI3SUeo?xv`Kt!txbH=Vky{+;Sm5pW=2
zgxu>{)5EAzO9op33)o8P!2OKc5*L?p-d7WneKU+x+X3t{y}yV73ed>N$o3Pb2Whew
zJ_F0GxnGaFHqts^K84}i#IgRkQD$|)fzKQ_A=M+cDB{jsod_Q4*jlIq8yd&4Ves+2h=s0
z$RgWlF~;LxBOfk)Cmj}bjNiSQgjehc9n;5r^K`B
zfps76N}8{MfGE2@<&y`p7!JQ$Yu4RCtmAmcsHn=opkdbhgn`F;Sc9EGoR3SmGWAQ(
zcw9RCQR|KpP%uO)_Wk;Lj?%Mq%_3Q?Rd}oO9_!*TT?oKHN!f^uEXH>UY%0|GB^yEho<9{mbE-@^tusDmaIgPlsD2=PSlPAad)pO3whkeHE3?tSm1q;cN~
zS$9s#H;&pihCs50O}KZ&ea+~4nm7-aj%ad=1ECa{@h$wDmN;lF^HK(%O}2C-N9
za7bA4Xu9*1hx8CFBGlwpCtaw!qSjd-tF660E=fB{-S+Cb@cctD@5r6clL*T
zS_K;NEOe=W@DAQoI!%2?*&Ms2xaRz&6ZO@Bo`?bSo^+W?l9xb|#t_g*0Oy3Sc;PLU
zv-saB`5fUu+HYdje#LjHGgke>%Vu34Yx)g`O)q-8UYjGepw%LLCincyWx2!@m#_#)
zF%bSEd*HTel%5S2kjS*Go7;{Vm)W6F1SK=z(vsUUNu@g|hI<3c_Xv5l{8*L9ctr)g
zeGZXcapoBB?*WTlW!~wjcAhgd{{I@(VQ7
zWmpi}r_d+;gAx8!&y?b#KqfI{WPteFQt;*7g=e&ly?f_a0y
zCV)S73Os0^TgR6-$SeB3<*wT&g8#S%-j(JN=s#bKuDm+ATYErP$r>UyS=~D~t-m2x
zAr8?|wK=MHmQ>l
zfa%6DV~)8*>;^wVxFl7*wfard*n0iibb)^&3N&P_R+d|XraiQ%V!JPIh~+nF1+E7+
z$6j6@(L9W8&VsRAZ*k=)NXB0)Ac5_LI~N(;X&=>rP9cxvtT`cvKiwG1KbGBYd_l8?X3`hJkX+kWp=;+06m
z@#(OK$TI})szrbCVZDDZ@TrPFz9%L1#;fy^&A>M2z#)zB2>i1E8DZ?{8^Y1;@-&VA
zlB~D#G_7iNt+kd7E37gYMZlS}>K)^uz5f2S$A%uRqU5EC9$?4*#~>UtJ~ckj
z1~lA2F@`p%?Zc+leo^m7a7fndyxy1>9ISB{8uV2;=oFF>uqybukSs!z`nkBZPfzWj
zWHR;um%mb%|3OxkrdvB8(?KI|Pla2K?6NjgrpQ?F9{WN21eu6tV~oi|pcla*x<~Jc
z^C*}GYfn)jUuUC`LO|Xqu}S506j_<|8aY$nmo(u0#n@J-`DBe|?hecadrFbWk~|Bx
zx|M7kbVLEP-GNI#-a$a-z3R(RLBQBZj
zAZ#jq#VKC3HA<1WjKC!7KKV`4PHPuS;+@}yqn?X;tFmbn^xpl7yq9C8-H7Aui=eiki&
z_0A1A4G#kef}P-fY*3`lUvs|Q&Zo-S(a9-RkQLeFN-x*pr-Q+q`EgS@Wjj!moO)v(AedA_fOwci
z=|mcjSb~SOkBPLbVoNtj$KhNkUc17{(_{D*!`Cw4vHaH&ex4Jz;9325)}Pa|u-Vhm
zc*XgcA0`(V&=5pOTWby3)Eh=i$;l3&O&)ZDTG`xj*3)4(S|&QmGlYc%;HWI*Y3)Qj
zI7!@wp35F!lQ@vPKE^lmRqcS(qMC~r%p$jnNPO};pvt}+Sv`I?*HliImT!3o#_|tU
zoFVx({WXCO%FZarxepmEI;OW^4HX%i{0Qo~L|%rOqtu&o1te~+;t?(zB^SZ;o&1iR
zN}zr_#N6LsJAsKBfnl})|6^wPHcFX`NUiPVJw;logZ=P9
zsa8m!es1+tk9kZ*kIJMZJ%WxsiBn(0;@^aJw6HRJ!-87U^)AMz3W2_a$@3Iu3$pDp
zp%I!3G@1dU7Pirpix8Etf%y4>sI!Kr&AB)*+9GqajKsYocq5OmKj9{qgW<=2sZ@vm
zB$omsy+_}g#ut`qc$1LN#yZ9s%*)IfHtEv5XX~oBzgF3BrFPR1=G~I8hxtO2=9>%Y
z8rqvL5rd8refSbk+tt23;nT<$MTZoM7x2X%B*AF>L~@K-NIPm}CV?<^UK*zAg^GrUT^Ql##|2D`uS
zmAzMGZqQ1HhxQ^9qr1#NN(0q^WVRsinZ7+Q{p0C>iX@1|AaQrcK3683hX~a;J)~0x
zT^h#DzucGHv1lL&+2k29me+0`A2nTQ0W#O%c6vTp5XmW~p^uxXQStiyV(ERH%cp~X
z`hOYgbadGP>;OXj$-q#g#3mPY@j?0TBUx=JG#L@HpN%t~cK0qBX0*=LMSHkl)+SHa
zrB6t%p6C=CPL2I$r*Y>R&qz=Or(W}c4&riHm;=gSPr1Rf_~hA5&PWimvr)^g-MhvARG*3>A*&)T1|=O?{IP
zDU+4qHlsw!5+X7zKbuH6KTFzD_IX%IbUtIJqPAN#c7>lhk)6yg{7+!1x
zRT%<69B>UbQ6P?epb=E{|5x(w-TwkW)~{|E6r^_6ENqr$WC?PZusW|z{PoY=s9Lv&
z1ofu}Ya;41!et!WB2_BayakFzQKA!&667QdoI(a`sr1eC)>}*4UYfc);mWkMD?j*Z
z8p#lhfvfsCb<8vZLTUGFWm_Uc@$s9RMW3Eb*I`;fjXG(T3>)sWs?3KF+F{{%7T&HqC=1
zP8Hn##0C5ygC9R`Jc|lQhiNi+bn2(BM6{W{UYUI%qpz3z5b>+AV_Up1F(v+37Hw?E
zFjHr)$kN;?L_*h1r-2rRf^KALSTXhi`(9+TZxZH?4t
zP&t@d%Js1MSn_0-4=U))ji6!0)+(2yQ}Xl=bMo%DhfRInoB|lj%$fxVysxR+azQqo
z6MZNVo++0WCrrL+DVr8Omy#yhYz9NJZ9?^6{XCZ7#W(|0)-;c7khpE@)9DopLomb0
zEqb7hXx}Dp6-`lJU2h!pIpsFr-#X%pa&@wgcfpf)mBqe91w^#)W)SaKAN->#N`0Y*AJVcCS45mG&yLkh<^;Ls-Ydw^Y+IXWF&
zHs3_31$A_)Rh99pgvqt&{}{hGku^^>-(x{%u;Y#W4>DUW*;SDjq|i(?t{RDh?*Cj#
z7m)-wy+6`03NyrciKYZH0$TsbLRFNl@P6ozH8VsqL)p>||Ii1njT70!mR&if^YUlaIHic>33{Zz$3EY1oCHXX
z^_=PVbMw(-N{ga0^0$R_k;F*QsYdn5>_BQt$k-DXTt*NL!!{|U4qItoZ=UHrM=7Zy
zrvsmFi;d&jfnYiqY8Z)H8h3YKug&2P3PT~}C)yVCy9ADTwLRFyA_=*_I5?oFXkP82
zr*w1g5CheH6flF7IIQgf0}nhT8L*VZC4h08gaT9H7gx}u<=W*K^z=ZBDIT~~-;#nP&-F4WLu(-Na9g!~{aW__;XaqLf*|udR3P6xK)EK@6!bPl~pJjJafFIa$IHEKx_naJW9|eCl|Nmj+jnvR^zpU2)Xl!8@+xo(
z%g&H|Q+43}tHt8>vc_9b(JHBME*JTWdXS0MsUs{rSYy#D&S2%v>wo|iF_?ymJ8+=v
zjoq{QXq9VC@Ly5Io?XJ=r;Jhth`WLY`3agjHjZAk+TIYZi7)FTkJnP%nFi|-w!O!P
zGwv_%pB$0``mWD_n3co!Ys1C_8s${c6gYn(`i7uAZkOQAzeEWC%;s>DKFv(LZ&aBe2^U3ww$)U;x%JXhENy?($U0i0A>+-vxf_i{s
zroRqD#m#&i*u$;LpkIey_S<&vt|hy5NS#1K+cEPJBjYcM%XQSK`T2ZF036)Q%@Hg;
z#5c%w)wa!`_kxXG#pRRDk55F#G(KNHbI_jodG-7d3ibVp0{f6Wi35EEV&G@A-IwWS
z9(I)a4xbZY84%fZilB(kGO0p#=8GR!&)!{i{Y3)L2by*egR)B_;qK6WcOaC{DP$;N
zlF)y|KO~@1aEc|sws>EIBxTpqoQa5OOKb*6DtoiUM%Z6k4W0xIL{
zD~=E*Hw(b-KLJVUZ{J{={et~t%vo)CVNTk{jkDmw;vtT@zz*}9J3d|)FWCq5hVf~tP7`W*fZ
zc%Y-p2JYJ(NKx3L(IEUsw~G^q0aJR
z+t>I5b{<(R!;nCO;O1mwP6RR>{bt8dg&OsKl!~LBcdG(V-WOCnMDmxLYcBHQNboRG
zPB9i)RBb(uA)R1QoZDxpvNL`w0t-qV(-yuEl%O{qQEw{bh2_7ICaYy%QgO$BFmkY7
zAMf_rAn~ubU}Hy*i?lT~noE5%(ut&Indq!)>*B*>dX_I|zqLl#i-iRM#yzqjKJ70y
zjm1iRqbki;4)+G{cm#Y4j?jTHMzHc~{+6X%-zPI_7r!7<=JFb1H0_N=u*}~|Ru7AJ
z^%DfX1N+vmdD!iA1M(0P@8F3dX#6Zyq2={DtdfA(kV@kN&VR}J|Q3v!^jC6q`FHX
zxnTgVxa=>E%|ReQi1otOiauHCH(ohD05)_ymO5tM0KuN6;Je*ZeiEZL$>NYaYxqG4
z7K{~r+%&o^4%3`^`6%l|lD!A&d!0FiQTKKzfUpgrRs<|y?|rE8#s+^;xKGgnqS%l=
zT@pbWAxn8koYs8scz=3Q
zb4B+|wAVK&fXDctGXnseo-*G&q!;$Z1JQ-*+T&(KeA$b=*>gD1)CtJYfTnwWgUjhU
zl;umaFBI|shai}Sh;t42B370&NV|)-n0FQYH)?VyMX`z$FamYR!8zx|oRlOi&CJIQ
zHwHuK!lFYPCM7Yk
z_Gtf=++jaNg*sfTJkq~Co^?p2UiUIisZC!Q$~^Ln|j{m^IQ9`q_SG$6Mx0&_cNAcUTq%~9Hs}uH*m#&yq-XyjcO6Wna-Ns<&ShknqpumM$M8)kluj%jJrn0F~UMzZbHMkaa#z
z2*9y_-v1B)Zm~B*>_Hwa?c1_c&gvKX!lLlPn{hUat++2niqyXx+S?h!<
zLQVs%OKCwo00wuOa9LnK%W<(?GwQZVbR%cQ3PCUhL(ElMNXGFe7dMe>4v(<8!d>`+IZPH`OYfF@YGYiI6BUM&07#?6cMJA0Lxo2
zv!S?mN{y0m@c4@=8vhNt&J6EuAQ?R=?!2OJn_
z5eSTwu5;&EH&gj6&WgumWRyr9!9b6ptZDb5UV*}@cItQtgVH+byhepuMqw)W$L!R_brgnqX(NRsdKw={}ps=9mybS;)%|Vv+UhCjrW99
z@#fTn2iBRPt$tKmC7P_#8YVXE=)`GhM>v+AXAT>CO}i!+#S$J~;-wz!TAR
zTMXFD0ijNs5{;f5Dmmo38d$_EM!Yy<@eDC~@Oy+4v#J+}dj4LuLjb@6Je0MLSNJvH$cm{^3^GOz_vY$(L9tNm@~|L-V#oVi@ad&I>j
zzX>VyjT+)%8KI$#evuw}W&0XEx!xaM9M;fnAGk6r8Whp!ddVZNv6^xk6t2@c>UtC9
z(RbaI5Bt|TVp}{TfS|U6dBOkeo>7?~Njv7NcVNqm&^!BN;9eU3rSMA#w44?)&!(wD
z8lWORRlTI^vUbQIgoD+fqF_k(T#q;qbD3Z}g@jUxfeAgawN9a8JqLyeQK7BFDjURh
zty=xUg}=?dK++HF8G47Tv%=krJj28`NgX%Ifv{^{NFj=8gcxklF#2VE#@^?%@=*3$
zO3!A$$d_WGE6clJO*f|0L|6d20&K2kfh;qwg1VTKe!9wP?F7&^rtRh|22G>fk=bNr
z;jmSsy{s5@&=>%mh^0#e-;l+
zQQP~X%wX)7JE9ogyN(T!uv5b6ha}KP$+sag{eTW22wz;ZaU3YXgL<(AGm(WbKVa(<
z71$m=_&>u82U&pwcTPB!b+2N-+|taE2gluM4z`5qB4yvw
zTl(#4fdSV>X)$l<;uSdGid*CcB$m7j|M*EPwsNoxQip`X>%u;cYGjU{UB16a6~ll=
z0tE@Vz)>E|>AU$sE(Hta?jdz?WA(ZT4SZb?zeX7hxpaO#Z=$=SxGU!qd>1FG5Ws5T
zPn{N9nrk+9k@+bdBmik6IZl0S3G>uM=O9KA+q(DiMDU+3*VU)(#iiXzK
ze+V+h2g4Wl*vA|*bu7x#Ah}nL+o&aA-i1k*$66+9%rcNKjcEPEem?-;H+g@H`s*%x
zF7hZIF3<-U8eR1${R0ybxcm1G7v6ms|N4Q0kIfr7DLbKLV)Qb|14|Ww9$8Sm{T2Gz
zePy|f=Xz1Gpxm)H&5acBeB{z^R?V>XK8$qDDnR9fiK07ri&Q)pO0yOzIL$t3CrtXr
zoYlXzp27Qw`q%ug0dL6wIIUlAf1nF`*G@&?hL4p;VB?C*lul@pFsy1sA5T*vW1Ha1
zbaIrv!frQY25`z=KmsmU|;bU{rrKIE#=8(AQc%nN%NY
zKnjSU9!*9MlmV}A7`@m>Ggj!w4Kv`?P9M{dwk6>M$JPMAmv~PrJZE)OsVvTF&=f-<
zA8UT=%--O!xZjOPgM&L=CWDq@h?vwl8t=hY(QHF$r)R`=dQ(N;_p2TeSw{e4iXPP6
zSBJm+s*_ppL9635H2Ovcz8+?wzPn)h55C1C?)|uid0cXbl2jWi1X9Dn^LVY8TLs8deI-rCpEIFje2Rs!zU-wxN*_o5-ExU$&XxJRP`S
zR97vXAl3lPS-K!SiWXG;Ta(}Iux^~KK*fWb#;9+6u{CWGf0P%HOC}ZDxoaYD^IeSp
z<$mAy?|k0j1X!Pv_5aayRbh24%@PX`+=9EiI|O&P;1*nhy9al75AG1$A-HZ_f(LhZ
zzl-yK_kkx!_S&<0W~!^JyIdlckN>-n*>D&xKu17>r-Y?6a!Mo#5$I$WSfj&6nVMsF
zo5O3EdV^i_Q#LtCS&VUn>hH5s+EF31*&-uvP~G$IW5i3!9VSyi@geV`5Hx
zCiTzToA{}{ILoa6j_0Yk&!X#A2(}6a+FN-V(ZR~d4YVIP6*&z)fm6M*AbgJ-G#x%I
zPE|0^_c`O#zht~f931m*u)og`S<)`id=Lam@IRP^b)d1alg9DgOzy91x4s^S*eyrP
zgBL_{mh9t~=Ll#0v~*7Sd3qZDcLU1^7I18C%GoWjT#VGDcqzR^`#_>{4PupO_s@SpO)d*x6Lj>)npVT1s3V)Jq4MQ-FKd-RLVkVgXEJ1|V|-ut+uF%Y-|+ZNw})F>Vhql3tFX>Zg1^
z?p2uU0jAcJt^0__ASCO8sSabYj1p1zJ5W1FT*n4(u!*N_fSDo!)C&Wtm|X+Lx8_@ntfFdo@2gY@5C{U2$Ut&;WRrLxr4r
z;$b@~csA>T@ygE2FWyGsoX@9xc}0xY{mv+&{+d(P23^#d_a}u6P*Vk%y>WKA_2!i!
zR_BM0HzFkda`?jKUhR?~+k+qTeG@iQNIdIq2nVs4=QQ@ZVh#C_NtXRo?*s&=&weTc
z)TV8*0U_VJ9;x@h2Vz3K;Wic6nDijjE&nJax9WFs|P<
zbsf%OM`{N;G0vRra{{T(RdELIni|3l9R4G{RxVO?#?2HiX?J>+`JKehy=x$%{-xwa
z_NCG%#cH*mL$|G}cl6RYSxHt~DCDtal$Zivj`Yi{%nQT$Yx@YzIjMpE6F5}|3(#lj
zSw%|!-i=og6uC)1*{t||0?*sw;95g3OSk=Q0L=^!Gr0*6^Hq`oEG5QZ^q?I$c9E`fPC&=L
zfoW{B-fb_wz;!db&JC%Mu3sU?QC^SDaiR8;LT*$&M{h!D|4F>WH;x8D!7G(}S1)K6
zSGHdHQ@A$c%lK&5uTm;`xS2i;)auR3AbIT}LABg1Kyl#OoJ&~Ia>N5@XC0t<(BFG=)9@@hWMO|moqK%tuAK@$5dAOW1--Fryf6_oJ6#?Sk(UI{HreYdwibF8z}oL
zg{7Bk>1sACZD1)Y7_40>10sDMVB9GnI%7fq#+|UAZA0So-G9XV7VU^RYM_3wKA=Q63Nk(C{|?%<%6Ko1X!XE7pV2zhz>^(!lvWipO~F7%UpAWx`nP
zxJtAQ2H$JP+bF}6ru1&_L&h(v8FAcDC^_h?k>XPY6iCrVDo&kV1mQOd4bA=@
zBH6RorzY7i{IG+E7sc+kx<*zHPe{Z5`{M<|1}?EK+cAt%h->#LaNL-S6{-59bM{Tih@W?UwSFK+GQqF8d{q`vtRAdmdm%lt~1Wr
zI>f&=1I_MeTxqctcC+b#yuARIfM9p>{bkbQq;`ng^#nU++x~vd?fRk*`TB9vFUP31
zy-1z05lw7Cs-Qlpnr=E@3W+|E(r-FgWZSrHc|Ijw5H9
zA*FUc8rKK>uVn#J_$I#B7nw&$YwapKw`acKgha})<
z!l~$W`?Qg^)KkF{NRB__c~@e;5DM(pcudu_ZHtzttjiOKVDDw_$YLokAB;n
zG)>6^q=o1lkrEbDiglZG{tzhH3SI!I^~_uI2+_ENhpCwkYJWWc4jggO(ln1-Slz?t
zuj}Vko*iqp*ME&;FF$@hJdIv%4c<9E7GmRq8}J$*CX2lQOrTxnxBqig9pvijv1wi#
zR8{zp2DNCfK4A`AO+W+!1_wat9MHZUHF%6;
z(+H@v1R5N_{awMd(qmFTb6Z_yhbpJCVKtLs%54W9=b+cl0}5|=wuwz&ihmNL1zipb
zvguRX%eNi^dWv>egr%=LQ8yvyG>jDk431_J-Fw!6g`dwRyn!bATZcM^xc8Y;?l$1i
zH;PBN54dctW&qM2rmhFl+^4yc3!k;$TiU-q=pw_%mtoH;vqaifYDNn66wCam}Lf_=qQ}+i%)DFQQ72SP0+1P8M
z;`TF&_pG-`@8-7`nLk%%ZFFwv01pCeO|%7rC(cYYnlvrwQ^w_RMYhA$
zdZ1I|H2rlIcuW3sNUl7hKMia6#=DPwG@I-7Bzwjkx$83lUt(5WO*g#o9iY!8ZVi;Z
z1Zj7TV`az5ghoxl%=w6zer%ppQAxk-pNi4UpI_m7%>;Nj_*Y$xSswf$gbCDeL{V4wlRh8qw{i7HH%
z`?Oa=n9>coGmoi8Z&&2Bvw8glDx*6Vp2*=c0Ls7m@r*IlsceJ>=zXq%iLUk-*Y>;5ND3L&tHAld?q~ZP493Ff7?MxMMR1zliNfj8A~_G4LK~Od|_bR
z_53#KXuI2{yZB`2ccD_YQ>7VB8;@zHK`+;5|-=F6U>QLtG{+x7<#LqFV
zXA1WIRNZR4<2iD$mR5?C8`oq8nQ#x~-6*{2y~jEbcLs8`8IMbRLx2u1T%?Ihw8U)-
z20I%&Em_nW`1iLrHkD{o$TR7&bg=aw=_bYZNo?)5zT@m`j4b+lle_C2MDGcDoy@|l
zcHx?MaMDjEdh(+j^v)E~)w(l{h*NOnSjQ1vy5pNYKfOmKz_jSkp**umiRimhJIhY-
zkF(4L${ED{tk~JU2cu_S<4f7>hhLGIFws>S)@s@s0MT;OkML1c1EU0^qBRD0+GyLmsw_ig>YYl!J}hDn(*6;qqb?oRV`he5f6_N2P*6=W-Mw?qyb#zq54l%4A^mK+(+WE({1ySUWA+_p
zmwp+~fXO19cuE9(SAN2zblyq5*&-FWU8!xGDm2+(z%^{%)a2CI#oCAKi$TH&iNlQNi
zOT?*%4R-y;ie{l8CW0H8N@Q_5Za1O@~*}PxmtTQ?zj06T
zZAbB8++4s({+0iBP8IBBPVp53ng8NX#A%X>H*kReo8UX|7<4mQLZ}2YX)XG@iFk!a
zMzo)Ki{)PC6p{YBcfg*|hW)F8KUw-(1um^8cMxT9k;a7LshiA;TcpH@U9doNzu(_G
zmN%C-j~qJ!bJh$|Yte4it(+5ILZ($oVbjOnlMRP_K8ai%lQ}(G#_SXtK>V)Yh+ig1gXZ=KHkBqU&WLW8
zme4N;qsE*?QNrXAKxF1xS%RmgNk!(AB5fap~`=xn)&<9v)?f
zQ7!QPbz|%5)yL(Ph8bxZd67Qp9U}O)Ex2y~JTfv;lgNG!YSoRQ%5e{<@x86+
zxEiIisEW7VEv=cEED?M?e(lM?RO3|5Ol!NGuUuh=;AIV-`{={y6hEc56P4rZ>3Ib-W
zM6m>kwQ$2et9gQwviSvX5h3Z4d$DQLN@;w%Slehg;q
z2z3l|&w3W14?zsK_$b1AFwTVo?ZQ~NifqI)gy1WxTQn5+%*E6hwy_YNKgM8$0OlCO
zAA-Yd;LTYsDnt&{Q7&qW__(^d9_~ZJAXTosbv>VLR~Wp~f@Ld&>N2{4UQgCLy+BPO
zu>c*YeV$yW1U1IB|FyMkSaJVVvEPW(pUvR8`ogzVsQ
zOAAcb8>{vh%-v~SxFi<|Cx)SKI5xbUML
z7oaV2a~~%=7I-AtY-jf|fayxrNbVfmW6o-(^l6)mA-=e=$)A47!jdffK*s|`o+bh!
z=RR*;Nt}^Vu0MgnWG5}8qld2h5=A#!oG^lD{4TtGn)7*kvNK5BaJ*exBI1{W4U&qK
zz*KBiIcwLXKGSJlx9A5b)P_Lz`4kgQb=dec!TWt9*INnx-}RAX8&ODT5J{Tt&J95P
z;@@mN-O4<(J1HYlkgu%z5)QBRQ9o-T-D@(;J
zNOSBudydzf)bgQo?Efa??)9vqhODidE@qX}4O%naif{bhc|&JW)6|M<(xgv`mUz((
zXIX5bs)e{;_#^OL)0QTqtuJ-|EgWl^Dh&w>Q$FPr!&(t)^Mma%HS+FR$I+%IXC-hi
zL2|!y_pAeHH|6Dr{=*S{OJe)Ld4ZQFsj9;pVEw0*O0P&W?BGE
zSlHB~?hS$nj&MhHDfU!J_l)SbC(Dx5M2r
z{&9{$RxTr2`ncluCjq67++6DSU-C|MKRlxR0mC0B*Pek`C_YaFOQy?HoJ^Q*y3!^J
zCx!vBuQb!XMhm8Hiv3=0E)GeXw=}V{PG<>=vEcniCW^}}_&8TspnL|*F_0NaOoH>*Z`NpMxz>i>e$+04~%_ged9nK~P8oG25Q>;)kqA!P+~
z1^*+XE0-6r`=$#dxx8)0_P&229%B&wCHiKvXZ@mc{HPtm1)
zn%p1}-I8LR!eq%lyBeAkXBVKFd~!ot(}(|H@ytHNw;wJ)o^ylLB4V#1g;Xfv(dv}3
zuVZ&XR&=lDvfP5&M)@zc_+7ATLqOO63P+zr<2_g3@3SUmMY+0
zAqggl`ZQl{QoeaHmrgI}Tq?g_Ki^58k}1u1c9qNc!n0A`Ek$?6dUThlp~aqIHMiyN
z7FB%q@Azl#@$*H76$`6#Sc8(y8B@Q-`ka6XIzK;{f&QUOsMg3+R{X
z9?Z4dwII?fxtr;FrTUkQudfMxjXw6DY1v&&HSGA;3h7Ck#VGK1307~cz4|Q`LTu7
zi_&9g>AJrgx1h+e?cCVg*}l7gmM+ge?G@nm*%E0)2&O8DupA_%#~$OK=X6*5>RaaS
zHJ)if*^}3Y){RnKlYI^86gV3{0c1IST*pj6vw3^90DVex=<@
ze0awk$|8iAASw8ypEkQ;>cl)8$5$th2u|_?_AJF&(=DUF$P4xQlmrHy5CAxjHKb}C
z(`QusL%<;O8Hs655hWw7oz?5WAtLg)eF&I>ua~|i2j%45{74HNhzp(ilFtA|ZFdR0
z`?WKac9lL8Q(Q^vE84#GInE{zpN>s~e}36degODRiIV#mS&=ZhDHGao^LOvg2}o7h
z-pJosSwsubV}G9(g?Yyzu;k;(0HIv6*U|iafgU)9$TLA#2L;lb8Ft>=
zc;3f48`_Phb}xf=C_^k@-4Bu7?((lYj;%#kXMUGhem!GM-5o}JRktdw9%G=PkE<9W
zaI^ikKrW~r*t9wx{U1!YH3-BFiuag&HA!
z)5M;2pQ7kKYg5hl6#n$r9se==y{U}als%`7_lqd(!AQR|S&tY4%@;c$YmJB80d6p5
zbU?>ez}4Kcm7-J((F|}Al~Nc~FCb=>BDo0a^V9JRB4QHkZD)N}$1nymr@1Z4&T=We
z=1UhTZBLDFrj9|RoGfU=5g1*cO9!edsu%Y$O2rW~l!0AS!z-cK2B6nJV%~)}0_(|Z
zvShZ`uM3}JT$nCA_wkt;6@k!%sSAA!?x7kUK90nYf=8C57D2CCVq|5BQL>&m)pnLk
z1&m^A+qxBNRDWSMb1!DM{kQGlX%b<|Wha$t{fQyOu9hhfMmF@?jNM~M7XA%|D>dMX
z2rY0pL-cr$G0p<9Y&4T=%vhRW5Ot&%U8nl%%X8Lk$pQxejxiZLHBkK+<5L(3PPb*u
z2ASv`Afs-`=@-d?bk%XuQz1HY{!l!lE0`9;geZF5;jW
zn);l0Udt(sF_oNqp-J_veRYh?2MUkZN2AwJE`eV=E2b7(?pE{)9lfTZtXn%)r<5(
z{3mVaEk?`5f=|30@-8j_S3#NF@|;i)hjueFMvlpnpVafQ#UkM?60*1IqOmQ3M!yIq8r@3
zd^y}vPjW=Sv3m?mPcme$ynVs45T0POmVncuPXQGTF~p@1R+ZN8-E**_LLVpxyL`&5
zQzd5L=cOc`JVF+&RX}Ro`f^8*I*W=Jq>Uh~3kezIfc815>0|ktglGl;pKcF<=cUQ3
z62GUCms!DA^qP(jvsX%ZG
zZ{qmux9EBk1;S>bDgNIR?US?~!>JiCarqNvT;E#uP!)}???Q@rO__-gCa;pJa$
zHFKVFVSkwM^RP6a2J&q5WV4_%wuaBVLRp0eLba%fZ)az8mx3we`i4gw$=tOwx!I)l
z2XE(68ssa9FL_!e4?-#w4)U__*1d5QaTxJ7&Xc3(q0a0D1rC?Pb-4>gpl!$2ZGq<0
zXDHF&H2;@T8{m@LWBZr1l#R3JevE(HBL6-4)|$5bhx=%AT~x4afQ*OBbvp6g-K!^@*2>uJ=nBe<*$CPxTp
z72>#+9#E3m3I?8;%Cxb_iGQJWNW8~5C+1|SnN!?qLwZ#>1i7A~<_DAYXR{aFB%Iw`
zuSsNhkN&RU+F9d!`66$;L3=(y&fvquw%X8kfLu&rwWt|=Zu54tT@^-N(D$}YB^%k%rQMR}cuYAC3?Cj)k3ZOuK&ciz
z7a|Fi;KDm(mR0Pv_A5fD3g2+qm>98fTD0|e(6_U(vwg^c=f%!Fg7oaw^rb#IwOwbo
zfX+jk;W0ERVz*k=
z6^A`TW=<%tg|9jF-Ev>ja)971_WC{8xXMW`6h28UN6wt7thL?Y1r;vlJ8`xVd2(;;
zKO?>Ai%-$jJCHDZnO8y&IjbZ9l)3nEjBWlRt?iJSKk7(bp9td^dbx0|t{nBh{s%ZIm5O_W97X}ArV2H`vTfmpzLrJ0?<@FvOgFSFX!
zAB6OTn?umPV1lsj1$+wn#Um96xS||Zh6t<4OMQMD&wU8oyDl|UC?6kAAA|_7>YGIi
zG@fguG@DcNB=8Q|!X=?VOg|?3=l)}&Q@qOFqXQ@q*^v>zjNYg~E9|(iaA+;v$J_IQ
zq^mS$i@MKSc2i1<4;RW=RJbrPtknTE`B3EX(kx%PhGy*^+o%+>4Bc8X
zLthDQ8g8#1QF)+OS?|s6Rd@s^nsNNbUTr>IJ&Fy_XwTX<+g(}M3eqOSWh?C4wC)$F
z&`98?l7M58#=+rCkOg-t0jKd}svzj^BZfRQZ_Au$YTA
zgz*I%3=WE}T&GU6-kFDp2G6LSfx1KH0NFtBY#~x7CGm}@U3JA>!z?IO(Kk1+SZbA^
zs0JQX)Tlbe6p6so2@LrL?JUjqe^14CdCFh3aHar>XAdP$WiFhkkd&E?AMWjq&+`!s
zISlV63||t%9ys%Id5E1OP*R?VnAUd8qU=dfU}=M;WoEV)-*t9&O3|8bpEY$mzfH!uC+pFboksjbGemz|ugsc0K69v2
zzog5{<9lV2Qjka}8tm@TdO(+ELtB@#8H(J9LsO0a$$9=|heONl6pl0#WG?uu^#MUI
zr$mt{{PH;J>V6(H2uV4Y1&w^Eu3j}m$XAx+!289)n<<*=m4GI54)*kn-gm|w1JwPv
zJlLCw{2oI6hI@MHR|p+HoLM0PiQO6cKd-uFaLlg&{
zFhG|`$Ty05gzN3xt9fx%IJD%E>Pj4rNDZ!~Sl`aIm185Y&H*c|u_YOxSzr7B`A`Ek1#UDwt@9PNbE$a*`49HoU!E*gJK{`4
zSWy&+?ILE#K(WwsN=C{|Cav@#k5}sQIxv6aK|@`v2#Wl`&~OO}4evA{PvCTXA}!M}
zkXWEaq4#`nr`d8$e~4)hg9%A+tunj9$<3B{(3`^D=1$Yiv6%GD?}RxqUo~1H#fCHo
zdSTP0R8OS>G>JbI;`bQ}?5!*3zGdAm04swzw(yZuGsJRU%pD?_W9ib`NH24=jG~AK
z$mp=@yBtUayyAkJB&JOem!1UHE`
zlBHWq1AI?w`O%=nWs>kn;Z1#g2rR}xKoqOSH;7s29D&r$@vJd#*@R1k9CoPqU&|@u
zjTn;#Qt`Lr`8Xz5y6LV6C3^`nqW3@Ul{4`*x4YipCJqyaNBP|e2XBRj!h)gm^~Kfb
zF3w;`BJ2&kky@EUnW3{~sPdLT&}vxrnTY*8l$$+$nS6$kySUR-F$Fn~NJh4pz=RnU
zVyJw5;RV`KiR^z9Ud+3M9s6COS(yq@6VA|uA`L6UR-dMSkREdccx@Pq6GxiDU%c=<
zG_%o|WuR%`sEneJls1#Y+YE^4TwUZa7VLtq59)#Ci`5V`w3N;Pey{xhi5XQ4#Z>cDIK`fd|BVT6pey^srHWhYc|I)Z{vbTOjD>
z#xb@Y&;6$XrJQqZ(8OK>b>2X6?|uArJvUWMo~-FsUc5YB{eUAwTC3JgY}B=#1<^pVKcv1t@H@X==D^tKBam%0XF~!r6k6s`RL*d=E`s$Uvbb%gO1Y
z*CWjm7;H0LH+P=H&h9;8vbLFiZRzQBnwjHj^Izm?cd(7K(>F5+lLLFQZYmxDYwHV{
zNuB0Eqj7Eu>$m)g3Hh0+x!m9&6eC?zLme
zo*KQ}PKaO+NBY^@6I|_Y|FKK^4LGadK3&27BF5}s*=F4U4$PXEpV}6(H%9%jq?fP>
z(u54Y7)_n7jDzrJvt|bNdF4~&XKN?Yz#@gA|NSDwQChEdq9s{;#2{-tYcl*a1ZNTcQ_qvpGfts+lEX#^Y1Eeq&#$0>CNO@q1VFQN4eUstR
z`2>4{gUMH?W4bisEFz8Klza}_-BHO%qO)}V
zl&AmbPaB3NZ2B<_@bBMnPd=&Y)O)lZDZDh>4y{+R)EQXf7(`!sdxAbS`AZ1P2uqN?
z!#36Z^OGpPrMo4+cv0d_o;;~0;*PQFjTry$0~U=>m5a1Y%`U{TKIr)|biAcBIZg=7aZdcvwB!$`$SoXA40YBj6xb%5GC?
z1}G{B;G$|5^ga@Tr8Z6Q;kqJaQWmKNYpByg0?`S!22lXj2hz46}~gvMxfdx-{X?N!MgtEsxbObt;6kq-*@XT73NqSQB^
z=}kGZyro9sJ(T4l^EVCZ5tT+p3d2$qry;{X{{HrTKKCX@Gu3%t;I3#af`Q-;${8C%
z9SkptDM8RuR6Ug1TaHktPR$SHj3_|>ym{|#^jEOWGb0>bA78j-6~M2mmkFuW&DIyfs#4zgTCxfyo>$hNJq5radQmRefzCQ
zm%<>=Q-DL;PYvEUF-o*ZtT3MIb{oXsR@0Z47Y8u2z%OaU@ClLJoee^tC0?zU(`@Jl
zZg!1&rKaG}x`}L{uC8PZwSRFG>dO00(@~#N_NvymKeqpIq?G1xD$H{ghtn99mKl^}
zd8j2WLU{c05^F^uJt0dP%^BG;7df&QH-AKnXe8Dsvbqv^b||Vw7xpcmM$Hsll^Vrv
z<#Q%JK_2ChvhhAD2-?g7Dx2x&almn&lgCybs#r;O1D~I(>X6Y=FRcG+JJIOZ;YSZm
zk_C`OVEK5#n9qSDQJu1+7+q2nC-hQjK&l8bf^l6dh^TwONDGx>^AB-SJ@cZjN9Qyy
zrgnrQrJ3T!AaeT0x)`677a(pG)Zw_~^-_rewRDK8|-{9y8k;`?wK
z*HG6IEcm^R;+}ck9tvmbq+&vHQeh^>%oAbH>hJdCJ6}cp1oSbrW;Nj<;T9O%BHG@LcPA0hkMNv4f>AFo&Ltzqq#Bc#wXoXx)zF+rw>S`ch@|EHdlpu%
zC*+rut(P9VIY0b2`*^Y{>1jpeEK3!RG^lb`y+vC6+bxlyr{oPALF}GE@
zpQTRSpL?+K`n+=Yt=FYb%oO8(ve^Y8U{zvqQGT5^%;66CO5^S3ac<;9jx@
z@Usx(2U!8h_j=pe`M+=-0nYKO7(-&BYqHRlEIs@5aw^jqJz#OjcRbk!QnJ6ILOx<{
z@a1j})M8W#DUDjN=Hwk%W{m|U%IGjgs9d^866ztpwx%HySvtAC9X&41;rrn-yX^oV(^anr&aZ`Sxt4JK+>(!u3%ol8ZJLq}kCNbrlMbR?}+LIC%tw
zZp3Eb_ob%~Ht4{XO%LUYgunoeRY-YKa
zkR)Bfa!Hz?g<mG?EY*j+F}-_|Ws<))b(83P;V4mGK_$)C+>`sUvpuLj
z&@vyi1`ZMu6h3~-(c{>FvK(v2oT2=qo1`AeLyNHBZ)Q?
zP-%`$BaV-YFszH(Lk7j)&<+&&)m^kKXnHk?#b&DGW=@X6JuKWpdwEf%m;V6C#5Leq
zuYe}4Drec0N{WOKqTzA-BdC}Oz^<&{+$=&NG;p7;Gdg`p`hsC8zPDgQ;<0&g{&D9>
z&kc5E6>O|F$t$2PN-gR91ms-t&LaLqpA|r@&c;2l8%u3__uxMlq)qyF9#o*>wAl4x
z+)meCZkVKIW}l#^>+6Tro#vhKH{FD3ofXel*cdgla#`kf{$9bB<)Ln^Jy%=f=g$uE
zc;NzP)CC{*u92r_n1ov%ObF+#v=XOPsgrr!bv^8c;>@e(Q<&SSRs=%*s!)T3d`upo
zkh;aijvms)}K;uRXK(TsO_5_zc)-k<)C4hKSUiEriWyS<@(h+GG#s
za2A=>!j?9OrV`h1je$31$JBd|nmqv`9Bf3j(J-WnR
zUn`wcQjWt0LJeAvguKQ3=y|f@b*JYT*t`4EgS=&@;S%-QrUNd^H(vt!y58boTwS?3
z{9_yb0lCq{1XFJAQ@&*b2@MT!AOneBR~3*r7NYkZ5-apK`f;bMU3h8cuTb31I1QJL
z^y5(=pkE5h%*~N|zVP?>oQtQ9F8ZEYldskzvv9}G0tO@5Lglx6~kgCwAfs#j`z-knZdEpiZba{0R2>|qh{abueA2aDdtlS
zg}a_mc08}ok7ag$T6HQ>9?}U<}q=+s%65%(Z;Q;$j$P@+5INv@Y{aVbSA#VQCBDl0
zL81TST_YI-Yfck0*~0E4ZO2J@Op&>)DOy#5tz-WXqi`(>!>93?MdiJoi13kdboI+=VDi<3c&k
zv{ND0H7U|$AQ`!jxmBHw@;9F>aW@_;nohpiGpe(#WBH2SDyBVk_epgyFKGcFq7;aw
zc|sa0P=)y9f_{~?)pHLbu3I%w-fq>G);fg|ivjeT1r!N!MBFW{qc?(vbwDWLfJwEe
zVH>owBGGgnpF^WC~%50bqLiQM_mn
zr~|_iUpQExmr?jTY9Hg_om!aqBQvt~qv~)Kf(VUKe6e^0L(xNiVQlK%uTM2^%f)PV
zJh3|3V(QWV@@fi<`zhR@UAlxLhW{Nu)ncOuZ~5LPe8HXRYpByEKIz4D5n+Sd<9$U)
z2EHhE^!rpn6Vxl_Ztx}hP|4SFJ!wBqvxkUV>y9IoV|F6$zj=bqZ^9yUae(t=2>dq~
z4O|I0mKd3{M_+nP3z`?|a5%3MA@eawh)(95y@x2ts>I53(Hvp>r582)d~VP-3@-wv
z?L^t_rDbd?75|>LH1DmD08Q2}c{C88mQz?G@ot*DEDvy{>*OxHU!*g%V|q>crq21j
zE@pm37<0Mc1+Lz8p4D_BR(dENs-5erz&L)&@)UiHQ8_^{f(xB9W0;r
z_esJM;EVyX^|h-40rC-B1E&}lsYbqNp)-f&V#YneU1^&x<4qq>Z{Q{sS9v4*9pvdcO22iX6hC?gXwnynB@Xv?1oaOKTRtyL8
z08|iT%6illDk+VQ0C!aBqSF2(aRofrNoN?f2!R(Ok6`54@z73Wf5VK0uK}f)5#@J(UGY#mLH@%%*
z&}Kx6MQekpia&L)Bujp8e|IDrG#On?0IQ!X(+{v4bsH@=97zC~0x~2qE6#KG=#|Y6
zV)!qS5dKIcY$OxfC=NjubF|OpD%!ILGK^}vG5S%`d?DVW%yF^y)xw<791qH9%h?Kj
zWjLA^!hXKHHYF${&@LTEtm-Z;z_e8y`I>%!Lst_`*M$z_uR>QQ%cQ@n)8CfF4fYg`2zOPP#Zlir;T5
zrz?4lIrvY~=LlXbw9Vxv;Vv6w)a5ZLh_BtZQb+P?v83k8&kS91;yB+3>A`bk0!%q
zG~THe55>_;Tf>w(0D}L{HoK6iFoG0$>YrYA_~kq4(rswVZ5q!q+zW7OC?NDnOr@$4
zR8n0LEV;_6d9+kdjylWKFaLXO!M}k*X;Z;M{6oAUaraYk4T03M|F2EHh8G0O#eX!^
z#l~m2pZ~64RpUI)-cSq`e;u@ruq8%?fWsM)gY4x-mA|2Vi&6QxZ^7&TYyHcOi3ZkB
zD?Mp04C$j}ss2=LNtOGJnZ~n1Qv%lDF$;y4&`@tnet}P2
z%#_`M+pDQ`Olx=w1G7{rj9COn9~trR^m{6
zG;aQid{i3&44W&V%N@q%*K>*c+Zs>lB@5yJu!Rvjt}=vttx!)JkZXzyGqhF>NiVhZ
zvo<2hA6c>&#{6lieu=S^yru)o`V`^cC~>#!Yf?%!V;rA;d1}lcqCp-us)r^et`1cY
zG#0@R&9{XU>79FCZ&QAwqa%21f)|<}_$tLxe`l58fVg%rvuyc^_=A#L#r_ZwoHB=T
zaQ#kIfL@6wcOa9V7{&89?8<(C=I|crT+z6jO)sYdD1AVvX7LG40~djLKCYpUoRuo<
z(*!P_h4j{^U!djo6U}a|0iK!geFeU_hs(_U=VjO=3=2efJSp(m)IIay#jCPH=MK&U
zvp)$i30nA(MDXMzpRFJ3LXqkpd>76%sr-U;?+;07lz%WctIqq&=6y?@jAfBlQ>h0R
z22-Jg0A{Lvt5K!;wL;?lZ&Pfi6^(#QsteuPl>zHIczefxfX4>{;IP6*@r#wjkP#@$
zjK7BgF;6*!;t=+}PV}eJY@y2dkKuw>g6_B_Mg>iAN;C-+cJyDN_43w2N<6-Oo#?;1
zZTmGoqF>C6@7H$d7#6-b2Z52uU&a5;-$K@n@cvY*@3^?-rRk=(43*%b^Ls*Yb0%*B
zgkA8#=i2I3!T_;Mc5J2l$=CgskuwYmkn8eE1w{e2;~*;;9FUTL88cA-Rp}7eWzp}{
z7PNUtD48_FuHdEy=Nlsd(()BqR6Z~Cz#Za%k#b!ZRdX;wH20WR+Nxt2ILp9&@_-p<
zGMY6!tKqhgtkjp0k_2Beh89h?G|Nf`h~2Nz`{c%&;XNW^Jm^eCy^ry~cHsjw<5Z-d
zR_#gJ#;Mi*mHr=5?--s(A8ijec4J$O-Ixs;+qP}9v2C-BZ8T|Y+qTVj@|<)2?_Ag2
z4=K{j{AOeAwbm|EoUIg;P?Hiu@xa%ofM$%27_zB^xlI-fWuK|v-u(9Kl41J6}o>6lnXR}(SZPpmc3SB1ZKx~q`(}v#mT0v&t
zATr|GO31iTY#oc+Ky>9QLv9^sdK?Fg%`H-CD&#t{1~bd|s4bA&y&*JoQPUsFZVAiQ&R0u?(&
z*LrI`%&sEN#L^+w!UoiT_?iRVe{C0&Ml@wH>s)mEab)#!k`t-FLfBGGN%FyA$$!0k
zXAv;9bH?c_!{i03&-Rj|q5csW<)pwZh3gFs*E^^3WCnY5_`Mxx$zjBO!|(_n5d>Wn
zhH(Co(t6r#qGC+;Oa|$~`PD;P8WA)FE|@#rtvktYN$#o%vJ|*W4nJpdBCx4`0y}9q
zB5-EN<7m#X8dK&G^%v5A%?v=yOJ8@rZE{puNOOHX;*Ygpg1Y#*rQniF>}VvIM2)bd-)Xmmn%q
zep`T6rDAVSM-0s%jeS|Qo^B>yNPf{XLq$J+P;$)AonpL$b049eI(>7J~kLFQk
zY?Cc`SCfM{38qWXSCfq2Qe+kARDZZEV--zycKq)$s)X5gRs-md%db`8>@E{qXNuXM`v@!s3
zc?gC_Ckgax3D#%?v4jd>4CcTn)UL~q5$I<%OTc2()mfsR4;T_*8JnhVdGqF^G)CPS
zYf0Al){B)pl?0H5fPG7CjTP4dKG+gCUlE_&h9|#*ucHS~^^;}uC_n!~R7+@ONU$hqro!6)SQQY-3Xn&`emePX;P4P2sX=gvw7dE2|#DRZe87
zG0w@s?|x^G2`nWt1QWjG&jXDEFkCj%}kk}xQ_
z9_OJN>>R=zad~rYJpjJ_C3(n_{-1^LCOsNc7@0ii&bz@=7%WK6J?lPPF8DkyS?>7^P<3bL}^U=
z?rMF(7`w8l*aaqp%+H~pYDpzX8rtKIi?xG75b)FUz1Dh_6
zkZ`(%rRlN>VVt5Y!LaB#SWbohY5P2C1n<=GC9nojbSq+5L#$yvPc!K)@xQ@$CqOK;
zl9B09M^W7&ZFu2&m>Jn`u!$kBJ*o66VsNqq;qgaE7a=PMG({-G@_rX|x;aZ-e@Dp5
zsff-@BXPSH{hdZ-MICi?B;-b*Vrf(smd7^c#eZ4C>BA
zWxuy!tg!r@+hQpiQX*5L?Vu(Ze_i3}hXhmWZ)_?%>g~x@R;*%;9%%RQun0Y_vic;1mE-qbW^Cx0`XC|f}q79{{9#23o>{ehMrQmG^SjKSa+?X-pwuxhnnnXY+<(ZlIw
zyHnbhf6dbu=VA|24)p*@KC}TtlQQq+dFsVhgGKweRnYR4bRuuxgfS@JvdrL}E*?ek
z_(!2arT0nS0n;y`)OEhrht7oAf{lNcuGMOC1pO(oEmmP4F41}{=xp=8WICi*Q>A9>wAy}{x2x(1OJ_SO>&_cQkV}2|l|f7P=Fmyc
zv$sD8M3C-)R3*Ljy`(T`pIk|k5_2EWu&@umcZVu0UnYd1DI%y|fhGI58+*!*RupWd
zKlD}zvoW^2`bLnVf>7*_=j6mYZGngU6m+@QS$yc!nvQz$DVTW)5n@v?9alH)TTdQASKW>BHyyp3Tg
z2YP=$uYHgSI}Eh_C{S6d;qH6j9`Sc__>3wAE#U9_P^Xte-0T)q?cl{FvL3S(*TuhSUCQhj$7$
zzb$8^S#vVS$_nD}fCnZVdH!0k5{{-;L68LWZ6p5S)LE#?Okb-ftRiKrQx$n?p8lyN
zr%^$$I+Z$nCck`1)X|CPLxtiWa&V6aghOplcBn{OH=!<1XsYLBnI_Pbt%
z<@R*mVFwe=Lc?{dEd?XihT0bRBIVi;R`iT1bU5(n-!G`@&0HYH1_8fv=5exT57J9o
zSE~z$lg66^3RJc0s-0IWw(P(RQ6U=~m_Lo$&Nj<+Xfv9okuaZ^El>QCbB}XhTIqn6
zX59T*sew3~9f@2^1&5|~n*$LWqmE+a0?)V#uR}JfsL6>1@f8loMG?zFa%SqyCHSrJ
zU2QlaIo(P)Q`%oSoxa=|jnqmZrk&C617!pU7Uu_6a|KHs?dluj>!}LMa^_TC=Hf5s
zc(hrApf;L&f>6HJM7DGagb&7NPsz8|56ni#&%q0_T2(SA!1
z0q9MNRTa(BCojM|M}cH5ay4K!yUX!T!?4};$n$PFkg4ZPJWn#>=r*9!eQsCl{eN5l
z&n?dO0tQl3)7T_V)9d!{ThuP{$F*8Nm4-u2P&38_N`95AU|`O8gQa%z1=@vgNNgkO
zLytiMEtTzx&(#Sg5stGd7B6cwFd!Y1a?A_+$-^9cb|m5?1n@Nn9hTf#=x9p}XGgy`
z&i-2OzzmoTmLV5x7JKslfr+0J%CCxdlJ)TdfH^0qvaOy|lU{SjCeTnViN=&w*n=l0
z3a{$J(>K7%%bU8TL3hNCt$^ahrF287&pma}5JfhXw)Md0Q~1dT;V
z*tP52b)8g&1P=1aPIQ~HoY(mF?c3uG|A!+VU|_<`$S8mW{yIAGI%)#%IU`2xhf+zi
zpH5#ygIUf?HTInBLPpty*5;vV1IDd+=l1LrzLcDg%5D2aR((0IY>-p)=5P$l3x-A7
zG_b|or5lTf)QZHYOPJ=~mH&**e8q+zt@RnG0ABPS1AmKdR-YmrDxewDX^GzMv5
zfr9H?(*mkOtp|X<8hy72NEdC$ZT*;D$U$!W?ijYO@cDBNCesQWvia+L`9e)?jYO7L
zGI%22agaoQ%Rp(C5%C}vc!?EhooLhqu6NQfp~(D~6Mb=m+{ZG`2Rkr=3oH!9hYi>suR?U
z-~~cSqeaWsr;*iF%*Pdf=ls8BTCa@*OrI^x$EBP%_4Bq1zHIk>Y@hQ3pK}ew6O#Xm
z9}-+FFNn3L)cZN;hQEp~eG+*ply2LJEOF-}I1Z8|Dvtg)JgMdGZo}l>5ZTV&PuM~>
z>xLk!4tvQ4?Z;QWf4)Bunh}FXqOl_4SzYzG{Y@*)M{Qx~F3L166m{@|{iYe8r&WK7
z<>1evoBf+QdJG&M^E-|NE}xsZ88Dkr@|yBFSvZ;mNF&MmkFkEGYN;;
z1cRBj8_d{5x&q@ehB8^bGSd2%#-_h{cv`Jk*iuB3O_5pXW@pjnW&NXT(pGCTYVUZ2
z%d-ZVS;Nd`Yo2b@9B#eG145fhaHv|Ap+7sXf>REVCjNZk-V-i$@^!g@_A{|MB2}TQACqy
zAPA$iK?VMRomr4|nxRX5ufTjJs@i$l0Yl{Z3w){{FAN8wwf{|(%lub`SkZ72rVq8|
zH%st$)c|6dpW*3K(|w?QHA{XDn)IlS$s`Z}#aw3m2`jU@);s77I+wj5?YF1YEP%BV
ztn8Sw2enZF9dS_<6i+$cOAB>#?TMY*a^N9klG|2UHY(K04WN>Qpw6)g!EWwB-bP#Lj2
zmt?~o-)+8l7Qefe=?X4SI*@jB#AF~MZ}dgtcK>P_**5j{t8RNHQtG;oQN?j&$_{h}
zgU+RJKM9xiB^q0jNTBwtIy}41cDEDPZtu?k9q$`*83P1uX~OH`7;ka*QRHAGeyZU%RgXI_a5wwfmrL+
zp2x{zyF7^88qs680sbc{hv4~hawvh-PNXe|7j-Ct&ESM-2?6@Ljbk^VaaXrZ3*t(hD*R&aP;In*9``Eyw_E>X{%0Y!q12P;!2Q5<
z`w29EPIyeJ+fmj~qC=C#%or?CfAI5|lg9AWo<8{AsrvTmzRl^{KVIs0K6G5fjoI)V
z=FeH!Pw+lmzTQkQyr2Im$=?3_xcWZ0rYJvZRcUpxs=(N4e7!gXgli-_xZ^5b0M#Af
zN44g0Xx4k>d0qGO)wX&)z0xUjG|e?kz6*E7A{&qvtWfuQ-q*R
zm-?H_w=gLbk$~$%DNp6cckSM$!}>U53Y0_tAKMwWx-+?MWyJYNd3X7u6Qv_COgXs?
z_nysqmsT_WmLKsq#qtVVTP3r<2nhPd`C9;HLot3tq+n=6*{1p#M=84M8>%Q$@L-F1
z3L2aJJ&7!dD-QulbQQO5N#OrpCj^F^oC$$-E|OQ73Nb
zf*J+=U$alRO{_%alFQ5WhF3KTE%$ZkIw^H5gC6J@!W2}Q0_c{)ivqn&X5Q_0oe&#OmSXufRRfEarIcJX@OmjPL8t>ovp2b$FGutgIq+
z3+KV^F4?DD+84lqi(;|!?e!sS#kMO8ka))Dz@RoL3!9?IXJtu&o?4h#%DJuh?t
zyUqdcy~xf^zAuRi?I+q7+b)*O^lM7A(h0<_(PzMVKl
zk$Jd)AYFh;QbK+A^^R#iz=e`g16kcP7tfpmv_b`D78)Wb(U`HRvHMy}QO<_G*e^kL
zsc#v{Iu8{_O4J}Kq`N_5Z^4YejaiMXoW`St9Fw|eUhP{FB+D2fcy|Dz9l`Mma
z+sd8sJ5S8n$uB3!DGNPS7Bx1=GDESV8u{LI!dyltgD^XDJGKl>^+@xE>Lc3L65E;R
zzS}#)8S`EzbP3*(e#&$N;evgVll=_}IC>MlGt&BC8C-QL;15{E3Oco&znz^qCQ1Ll
z=%E@TGcYza|N9(LpoL6_t)|wiZc$A5;>qytGDiA~#*7iS-?w9u^{uk4T?Fj{&wllV`gnXk3vV1M)jg8FWaB4lyQB|}BeW}_V
z$fQAT+E-9Skr4e{Q+=xQPj8z(uTQ(xCX`45y7NR3O3Mx+@`cNBSfp5k=KUV?E+$U^
zSwT$b+m|t~xhWnAj=G~kftCs}&*ZmXQ(R+088Pv4qgY7g%gYcqXI2`qS7*UI;Zkg}
z^&j8zS1w38_vjAK+A1Z1@3>xrt4Pb~U)a_oJ);3k-SbNjIeB0uI2j7j`2+yr7S=BU
zJi&)MQWI0HqKTkDVx_W01DLv(U}VgH*9V`AhwAyt
z$2z$;u*+4)36M*FL@&KL>ownxH@}<9C1|)6uL;lfx?^Vk8y5b$JZo#?c-Y)PcJw%m
z$OZK5`rVmi8L~+fo;?lwdURopP0vbROIKa7f-1eXfdP;p{6a&)gpMTr!Z{NEuck*h>*!Q*O42%C@(dp1y
zsKYtZi4YqvF5&KU3>g_^j3MK_l}x(5(4*XtUe@
z?%=XaZb20^hqGiw68RGm9+|+08)&F=$FqORL>j`0T!Jkq%$XA}(@AZ7nR@?q=xngY
zkaW07_uB%S)8{KItN#$@YEAtLv~_i0>^Q)cjLm99^<0(?%;^~?tSg_3)yLF6CSPxX
zV&Q81^IuQ5BSW)sT>}1VB>|{oM=a1g*-{VFiBlvdG6VGIG;@Ggh}2hEBn~U~60D_n
z^fN$Aa@{d^EJmg<)!gH|(2oKd`DtZXgx$CTKa9ZV
zo2hfPhLJ3O=*m=4QEH3dBmT^!<^FXXmM*F*!|?pAPeaZ|l7w_|4%Obw&A8x2E#Wg&)ufc&NMg*dDG_4e)X;|1Em1!u|yMnh1-YQDiyq-ov%
zh>(bOEh5Jq(*6E>?OfovSE~kf6v3K|*XFlvZBOm)fjn2)KHZXWi}CF
z74gA?sUkir`jGK`B!xU2XVoWEpz~2H2!jd^vt5+++MIkIKl*<`AtU;ZXS)V}Py@Y+
zC*=I3%S{JkAXEc_g;CfmOU0TY^gEp3q=XVRI-qiVVXq%s*P#eb8rf4$S^Aw?pCk_c
zd1RMc?-{}(Y$qUtO(>80#}7os2O-A2o|Kj-rUTX^_urs20XzsO(qw3%c}C=PSX9Cn
zSS2A#5c~wh1O#-)V{Z_mUTk%FtQhmFjEfh#*2LFB#EsbRs`;?mO
zsO;HMEJ9_a_??QN?M4^@PJafLs1i-C;h@pvuYW+*E7m3^J+&hGuq&o2Y6F3Ln3?r+T#C3%`L%%I
zM^gkgwqwoxW<06KOXv-RQ5%GOXlW~q@I%&v;Y|r?hAfOK0J;&y&BLm>I
z2Lcg0EFdNOJSG~j)_D{~OG}uJJ918a>jfv_L?Z2u?D=b;_=bvUBL8-c#li>(g0`ld
z+08vXYJx!X*ZL)nmPaasNhrZh^q^T7cQq!KrP~*x4WskkVpe$JlRvhmq
z`~b!+0i9c)L1V$AFl7w5D>`2~?;EPFK5ewOwziC`RLhhJd>-|`@I7`T+L&cr_&l_M
zJbt=L`#vIm_ybPcr+1jTUU5LmKfU|mn^Hhoe6+ka-C3rCLszNVK?cq0w68c>JsA#|)`?VKvs`N|q!aDFQgJsWte$?56|Is#F@<(6^NxgV%T#
zHjum=yZOf;$f7sawg|#y5I{fiO8b5@fpo#W310SjVo$zUZduLk6#emADkftCCC^P{
zJH>@>F$}BJHkZuiKXI(wNA9Pm1h5L1+kQNpui`I5LUF*~tN1l$bhLi+6?k(jJW$f5
zSI=MfqRLvSi7g+Kfy(u;k}?Mn
z;z>Hzo+{dK%l|{AckwR$iptuT7Z6ze#9(P
zg9IFAb5cyKg*?rI^5?aOI(bCj(_KAj_c-5Jr+@5#Y_YrZvT0>e^$n=96$J1PD*fBh
zQnsHsA5S+3N4iYLXG)5mNMpV=0>_TIVY-Ag(S#+YEeHZ6%LhA%4gRF4R66O`=1$se
z>0cDGixQbunNeze8MUtP#=fJ+=q5<7l+-<
z@QG$bc_MNWbB~!77nnTeM-eITyz^JOpQ#F28M&kACP+&9VJ=z+u*G#DfUFP)WCE6w
zSX9(SK>}JEudHO2_IuFs*xxPYMkPV%I27$SHVdFBpYLH%&0j@Rg?1iv#swv_op^x;
z`-g|4VuQ*uw@noeR;Z7S2=ihb8=qJO8J_gtG(ZbjryS#YYCV(C(m2=lnLq%IA1}{w
z>Ewprr}q_oRp&Ex4DUTw(}vHBNY#ed&DiTu&g&2m<35c=C-`1yMWgXr#5k6_eEB~P
z3ExP4PMUly`>L4n(BFKd{)q--=O@N;9lrWNBgMT(aRAP->_vK|;n
z$(hQcLW={*F+igz(26B4{_t{zIO|6?=TUs;aNYQ;I+ar%coBirpMj_@jUQ1tgU`*Ejx@OdoewfMv7-^V?+E}~i*5#jzj9E>wc
znW=YwT*(Z1uWAWAh>1=#m2_B^)IFFRiIJzHv9XQW?WDL_#UGg;TmD@d~;B1IEJ1HT32amv1}fCYtdz$hb4
zPo_wc*{y>|;sGTDj@vO13FAaOL8)mDbjpBUdnUl^z5OCaA@%)-={OHd5Z4`!#{`1v
zo?3-MVADp>YDdZ}Dt~Vy4*gQOn!~`+*oI(W@9ixyjU%9tZ{Mjx!EZe)jr{C-wiI9t
zyW_(AmV%86f2Z)0fvW0rYlNnm6}nvqw&A5P2OC&C6>3WW?OicW_)zfn9951GsqOUe
z;^%Q#=w9f&XZ=j>+SeWm5(FNH#K0#Hp{h>rYX=Tsv!(mept}ReHx}qU&OV*Ca$a{S
zRJ9mVM)c3-eWC68z;hj1Mgeeu!LWinXQHYsS(zHW^J&cX8gSAK1%3-iCvF=r>jT^y
zPvep*=NOL_8_#r|FKZW|mjJXF4ot=L`u2df;VDV?DG4EpMcFkRmeXO4+#Z3ji??>BLA;OS*nxB-()P7XYJnlTK}dj#RrqX@uG
z1SikQ`vY5=${Gn&C+i+Sai9Luqxu3C5-n%1PWARvhXCm1dzFCqaC&5C=C$p1D@jN>d-;}rL)
z$3HPxJus=+<3vJ14hEm#3rf%K-MvoDM0K~qD+uiM;KPa?gDg}?HJGTCPB%a-<%wWt
z^_c_D?eoTzI1eu7xgEqRdz)G|h_Q^o<%eQlOYiNb00=_j0NYqYG#=(uWP1WsL68{1
zlxC9#3!Ab0dle?=b8YZY>$X&%B+w>&UUXyV$bRJwUhg+K6wzy#_d)MXb8bgPDUa+Q
z`x~@0AzTi-&_IgVTG@DK``GJx#Z>q+TkE{du^%T&uoZ-Q^MH4*bce{@`}(l&(Sv%!2FA
zT{i^O15S^r?P<`IxL}FZW)3-1m`5AEzMa5E%#fMjjNg>RYIyS!6A@wo`N<^gi_!^n
zD~`emmPWC+Bo>?n{*Q}{-z%bQxS@=_;71LZQYFNvf(4L41haoo2PLp^3zNxB!Z=*K
z!H53=AcdwHr0s=l;S9j^p+-HwCMrt>wy!v!=KGY>&X0x
z^ZQxXTN9Sy<7Ei{DB;@_;njc9+4pG#u>Q^fBJXuZ*HgyGJg~~b_ln^i;?whK2>>}6
zx?Y(-c5_})i;Ig@Rzr{iY??-Zab=b?XJ_ETM9->O2T4oN0z;-`1F3i+al>#z8-zkO
zOOlNXgEyPY*2Ag_8C6r(V*(7V`Npd
z%t*t+Mtc|wG=_Bp*K(qZz0bL{dEIUoPK`h45a5Z_U~pLrAA2>#oVpN4YnLr3co8NF
z(<>24fb*O{+$XZT
z+rQze9pks`7dFf%8G+TEzMh{(Q5D}BoW4nXCk;blj9oZsyy}<=6&C}h`<9bC-Q^z-NU@EjvRucpLD_$ThTrS36t>_ASBct^l
zA&iP@ubJmbXwa=XLpw44!@d@YNJXS&HD<#4N*|8Z;EwSR#{`*nUO!X}D~l+N;kiB5
zjsB#51^{4!kU{NvCh!gIf9
z7}0fdc4qA0;IQNXEVkLbc~TZB$@zH75vA%QeBUBesM7UDj0)VlHTnJmMFKR%SEZud
zC=mv~Adc}(Wq49&Ry*n1e2BsJ@cPqaN6!r?h8jrTe#4bZ9jLIw`d!Hyets1u6N~c_5G5Mq@FE8du4^HQ9$jeRxtJUtJm{h
zJAvsNFle>{*VV9D!eCCF0U9|RNiRrDYAuT6@XpM=b?@o|#PmF)%A(|>_Zs^VDsybQ
z{!@H0_}u@A#B3QRple4?k5LDgffJZ%4ETdVrDkXEZ-o%Q9#!l%Y<0sBURCM@NAf^4I8PsC@(bj`-@He2B5APP4qwuqlGMwD%_QTt^{flJf>I=lXLowbz*D1bgs
zL!vaQAFwNmVG4M#z$&vlget|dIlmi{2?--+dL2r5q565sA`Z7pqR&-bkDr->;adpr
z9E6uzhC&fzCXtSLx+kGCtm(6RpBX;f_b(KZF*d%>9M)=Q?B_Q#jCziQ0
zmjbRufH)A9k(-H<9P2y|{(<4aB2Kci*_1ggBK}Ne2dwGePL;S04(2RZxXCVfcA{-d
z9(a>A=4vBv6w*l9xdgdeHRWTse7BqOQpMczr+tkEBi*^H`*L;qmQSaZnfSQvXF{F}`Y%;DT4(t!*11D2^3!G>yiwy=Y?i;8VajL%cf6dH;^4t
zvMkbjqwDZyF8w2e5)Ib2-Eti__Qhi}SiW0!yye9RjiKzo4S-aVBZF{mB+p1%a6E&-W}~jp+pz;5{e)-4}cj>
z=SYw5$1f@p6&iOg#C(@C>^;`po4fF{Tr!x4W3VoFLVO6-*Nwpvmz&z>t5Qmt0!df;
z^`eYQdh*R0Q7bO3Ibv-)lAbA;wq=RS@t=>iTj-o3T3gsNw)GI4?xn5mjt*<$AD%mg
zW<}2_ZI8yK_W}BMo^X#BZltGx2MlKkxE{pI4|!T00AeK$_@@lcfCW9WoJi!(8B)YvH+jpeejBZEJ?
zNO(C+GW#IDS{KJv_8k(|24(SFum$0bv)LZ}E4=MHmPhTRBlbN5C`D*gXLN{qrvrb6
zKR$m1rz>PSLM+PEOvqvju6+B~oJQ7+)P#XNo{%WRK@;SHl~_Y=RdnH9=_VqV)1GV|
zf4YfQj2bD77He(;tAVGxMvw4hq}X~7a)YK(D}%~{&n<@5FVl#q^Jldfq&^=nu<
zSx$(eJy_E>h-UW)bg~Ea7&;k2ERK_htuJE&-E;seM^e8IPP9a?b^m;;<-65I&>GkX
zA#)#Ov~;%{#B!cz=yxSQ?|(M!m?UaX5C0V*FbiN+nqQuQKqdpszk%hJuYeN-X006E
zcP6HqV`jLTv+M)wW&;B{U@O+KV$L?ue0=n$biEq$J+w?{Pd|UWZ+v*ZuXVk+(sU+E
z6n#3A7M|VR-Vzn{YDl(dbrw1^1Oa=b@di?OI>CV)M&L=;C#5(IPo7mt7OCI*wGM$2
zJlSiRF_Q%kE4;<~_lSh8F;~{Nj4{wjE4BqRz6~)oOTd&raU!eFb6+Xv1$*(JLJv5TJf&#jnOVagQAX3_K{?58h%KavO>@DsX`=Jtjnf&9oyi6@tfAAD9LaDtBQ=e=K(Wk9iRV
zVm%Z)7Bs`k?p*Ip-dB9;YLsTxk2-WbsycM|plXo4F6O>dn0PP80j%@GA&p3X88Qx4
zWhas!gx|k;`7$5yJ6g4l=rHAT01UP#Oh
ztkxW%QsX4TCs{`d)2AshJDVWj2_wMqV7#JvZGg}h&(HI`#k4LsJTZR4YoEoBrAp>m
z2$jAN6>dL0UR1U)t=t_=AviDK+m0rW`A`Xb+p|Hxhk*e?QZgB4`3I+k(`N5?yc~Hz
zR`x8-+yyA{-4ams;63cXnK>`LF1@Yt0CT`J{-p1q5e-mCLz1a)x>K=?neRwJSuC<$D6`D3?oV-x}k&rit8rl
zmPvE&r$CzS5FM0TV)O%e7Qw->GcirJq@9I&9r
zv^0|JsXKHJ%W?uom?cqap4ZEGX$G^RS!=isjU`w@)ZS|TfX>jeNhT-t=1)C&P$Kb}
z_N&~_FK_B&L$$J4aLoSt9EK`9=URHuQI>andyY>xERv=LyErB4eO%tV9hrIiBuvVUSsor7S+DYf;2
z-By;yAiq~tUf0U7zh#71y8O|ehX!_379S~|Py*1ur>kvw{d+4JY)uP~OOz5q!qArT
z@NbK>q%K%11S8|GQ%8DG3yiUtpmAgR+;qLG-;~lMWO|sszxPh;K=Rx
z?$+hJ(S9yarY}WX2CA8lW8Jqhn%WCZo0gys&j*Ls$19rJx4@GSAaO8AfdgJFV4Tuy
z)l%%}XJWZzfshvXVTlB!L3<=I6tv4?B;HrF3b@^fvW1-5cZ1;7Z3{&)!f`(=r3)bv
zocn6h{5s3GinmTAuQoVbq_3a^Xelk%=zP9zLq~QGJJaW61IEO-!Tp}yj6
zvgACCeoU-qL8!aThU9#h>~kKRKg@UDcmC1TB%SpO1c~S~`@8t{4N7*A)}-fas6En;
zKoXOEeS+7`YTbR1Y6`c2$BZrmTB}HyY8We)MWQ-&BLBeTA&eMqPa4_hBr+m)Ma_TTmxeEC23gvQHkq*`MVgMY5MwjFH9(iAlUXOJ!i
zW@tad#V?`$Cb&?oP@HIzfJL1fs7xk3JSZuwY+BfkdIAqdLG9VmMg2auiWX?pwG^+1
zo&4CE%wc0=p*x+3VU^g$#@u8A=C8zku&Upc<$5
znrd>rt+|sCN}$FTR})u;1ZfY_Hd1@i$$schu#8VzJ=^QU$|!8Co^1Yz-|W>L-Zbk!
zdvRLvdoQ7H5d}Kz6GV?VqU$=nhUJE_OmM<&XvHez*rDR#7c*@Ei+6thD75b_f91?+
z9H{CH{tjv!TKteuk3{a}S`t&gs{#85L^x@1ziuxnzDrQubOyic;=}mwO17=Q$HXlE^#NvA>)b!P%72Z6UmP-{LL>ER
zi#b%UQq8S&pej66QI7ZEHWE#To-t$>g9`M-aXji{iwv!&zpbk#PZ>;C>{^W3OmnfT
z8SA$VstyU(FLm&;_>KNWDsDpLi3-B>>^Hu8gCZ-5abmz|hHl>1MCKQE;XNCHu_bB3iIrc?)`Scf8Xh!`mW{B-nyKu
z+QnM{^n<*B6*A!8{*-9kTA94|HFs4(48*Xb+EZ^W#077_K2x(Nc>%ZwcYzw0+rocw
z9r?!Oz8$;-k>{}C;Y4yUcD%5${1M?wNe0
zFv@-Jq_VnqJ8Mwk@2s#D^;gwp4u6t;L<6{`9IE$#=cyWHF#@-zq04`e_R}Ekj(c?)7uw~d?7;WS4z_tqzN%EmN*?$2Z6NZ)w2LGU!
zZ1f{UcC+7plRnhGXEy-bzvlrtJky$7I~%}3r(*Ueub_oA3kg_+1_U8ct}ax?3mfjp
zpunnuJbZCLD071zqosFgq)<>Yg}$qhjL*x|)$;!_^%X!>eP6hMfJi7xr*ue3Hz?g8
z-Q6kOASu$_AsrIZ(%s$N-QD%}{muWqc{AP_2Lnm^XQ2Ryxs0~q0VQHFcX<-G!xk)X4H_1dT}`zNnalna^3DKZbt%aaUaS~q
z6mU|hE&&Rj>(6~J36jFaVq9u1EcHq&v68BeC4_yx<)o3<^`l|LOP*+r{Bn3~Ldxcke+
zMfT?<{60-1&f3`Pvvascb{P^4l%VL=7&>&urY9lM<1XalF*OUku~&k#&W%VfTRNmW
zChwQ5TV?uM_QRP(Q+z>+I}XkBo21PjnZ>6crq`WJm7{#kQy?2LXR
zH|(P_6AU>mDS1a}dJuT~(bse*^D_Y1PffitbBGB<6i@|Q
zzD?kR%l?Sp7jjab2xRo3|E$5486
zkV^h5uyX_`3JE-}?2Bt+a0N-bTtHUwj38cHgsc$<>&`?NT$7r#`P!W$X&dlJ42RJt
zbvbF9c6>d?CM2;ALJ*u!golTT7U=xtcLm-|EY!+HT}bAz
z)I-rPhu7CMtFunNmg)8^J`Af<8ivF#7w9OEHz
z)>Kw*|0@ZQ&=^C2lW%=~4iZD6kL86AmQ&rO_|WYOoJ1|!Tx17dahEduaO5=5v(EJN
z{H^P@W`b?rwyVV75o&`&(=9d4L$AmqGYpIGg=V!|{eF;@JWUnVCH^_JO{Wl}?Bf^u
zh`0}=CC_
z;2MVD|06wA&AAdby52n?_A8=KnX2RP@~OeAx>mpw&Y_!YEp-c}&0tc2%>{Qc{*KcY
z%$MOBN83z4Wm&f?;os4bvTC?U)$rHvuqh4*TbfZp+m2***w=1HRmRD+Y(!Mc6X)Tq
zBSm?9{^x=ku$k+QvW4V-w#JOM$o)9?Ih*q12Q5VKNC?)ePe)_{+JM`PsiOvu6evSW
z%}zXxNDf;Ut0yWu*wMfp%Ott4!9tMCUJGv81t8C%~7Egtr@wszHo`edhT;|xfVun6L4M}!6hP96b=
znWb5evwClM_7v0FQytegoUYJgM+-zLxWeS#}-p{bu)D2tni2W&iG^8H8|$=mn%rg4s;eCXA$8>bfj!c*T=LA
zR(5D48Lj?VP;HK`_SolmNJK
zq_ie;f<6xg#+g{2s{G3Jw>w&bkV(}Ubw**mXif~2f{wDiE|I>8O{0FMi5Sdh@axXT
zg+92*li(!4fi>^1z1&%A{)S*+>ZlKc!>B%bh!=FK+#fqfWU-c?KhemC_jx83HoYqW
z)uNz^e41=dF&i$drTsX+j8=e*KRd2IvxJ<@H($n>L*tsNmKMtANX!R=as$Gdt*M+TOs-*q
z5ttT^lx;xCsf%xq5yy-!m$P6o@_-{
z{c3=&i`&Ur6SWs|FmC*JFj7asQVepPAy~wq35Aue-YO>dC1>$l^lHcRS<|ry^mQfo
zjL4W2RMq>7WTAk5+9e{7A;sgVTRRLci^J@xlZ-(iT48?xGX-BFBEJjKvSB)e4^_!J(G{51QPI>Q3Ud^a6?4w6E)7DTv+T^
z^ArL6?E5M^3aRNgz#;!Ex|t->DAc$<6RIsKgt6!m(asBVVkSabtEi@=M0nbww@>_W
z$Ls5j)=2=7qbGl8%2x~Do%FBL+O79|PKKdfSjlh*f}4xTwm2~Vj|;Fpm5@1!^zhbl
z@B0Z=8r!q|$nQMLuZYF+v&+x9Dpk7Cv!kHb?>
zIyg!3ca$AMFqgj{!#1f2&NEkKSL@`JloB1OZL5Q$IE&q)H@B3BjRF>_8g8{SbmT_X
z@a`@NeI!-#LdS&Zap8=X-<7nF9)86GUtiM$(Z95Ebvh4kdwWEqvhqB#oA@t*u>cm&Y2gxgcvLKB%R
zfbfTJ5_q@-U)i-?qo$F`quvAl_E9O(c(I#d@pyby1E7DJibf0cgUl={GXM^0rz78v
z#Nb@A(j)w_63>lukP4ux#U*6F!c^X-7ZxTsEkmqN)5AWyvFZ^q{nt8B-EPrqpWn)#+!4SN7Du&b>cA@J=CV92F{Az
zi)ydjH)bUjMeYw)F;%CkNc~oQj{@_zTBPrzFle09VCs?58t0J+iae5NITV_6W7$G)
zK)`ODL+pV%?er)0GNBIw?1M5-siAv5Hbkw+HDka&
zIokBz!u`1K|APpq1hclh*uyK8k~7IBi@BZiV#&w*JZhsXL;@Xma#wLnL5H`o=;Hm@
z<1K{>YvDz}>*k<9cmTA;8?)dP#A;)Ixm)<2(
zVw;tzH9=AJ!{dr-nZF(whZQZ*B*xQoOB8LB8bpDOdhus90VVQ9J>SAJ)s
z1i)P&`#pzHye@V|&;p6Ou|XgrNXwf6Gv5EA^B_sZwQdFUuX^iPFAb4S-WDQ)zlAU|3VvqF0v!`?Kdp61rWHzcxhMnOX_Hm|!s}4N4nOj#b4c5+)SE
zfC8z+scc%UU@2Bw&B+x*h`jy!lJ-v;X()i=!6|!rTY7*uDxKBioH?8-Ff>dgZ+3`?
zBUzy=9gY(gF4zpUB~AOdSu7E8BqXi*MR}k&K91s#5rjIi@=FO^mu-y%u@N?1cdSOV
zghuJ?Ht#efAx(br@JPpd$5~dV^A9sLnvyWZUm8NBvKn%UHnDGI941`g?tM!e|8WYW
zwN9rSGo|KR)r%2R7tuQBI-l|1JX3J{WtI?bGs!O}-%&q3Jw0~tKXz1jj~G|}m-Bk(
zk^av6wgaM)BKHQV#x=QWUuw5yXKj_gyHFVxqi4fPO*ZDP`c;b~x)#S|YuCl9IgVk`
z8NSh4>a*Y#?GXewpB$j|2g`+Q3QY*4r2+P}?6jRJtkZSVoQc~nsO9>~0XgEl<)}e6
zAj6a#;iOJ2+#SIQM-BiRKB3vIa^~Zs51GNf&l$ZS+>n&yH*3i%aY79ZkViP-2&d{4
zdhg=L8^j?rJn}Vm60f40WS(yG5}iT^s8W%5|NVMjf!BI@{r+V6C-oIkUVh|IckW;w
zuoi)s*Z>skeAiEddzL$ta3KoTiAfEiBVa}Hydg?2C^Zef1T@n^4=3~UZJ>OUL2wyx
zNdUe-I1P(p|PL?3XG4B5p~{MCRYiG(?-aFrN21Fnp$5}+yfb;JkwOTOu!DdN&cUO
z!zSs+%(Aiw`NGcZ2)=&y=Cd%Po+`Fa!6Xpci|xzP4VZm!I2~d`>;{Bu8{C-M-Tou=
z^}VmCtE)R`9yb1t^JUnoLnZzOf0sx{7Us(Zop25V+z%KA&UIG#P!-L~E_D!_=h3fe
z&zo9o1Nu@-P_}eP2{JCoAvvN%>yCfXws%oHO&2tuz)F4M9BR0Bbh(#GuFEqlDh-mB
zr=;G{5D7`{=peoc(|$>rHg~%01SNh)rHMl9LU4%EFYSVo$Sb;yu0-}9KG8&t55&GY
zPcW?fA)iJlzY-CbL##qXd749RpKD8(0eJE2r1>MXi-`=eIjdqd3~*^KtNb)TT@?#OO0S{HP~!X3a)$LGcAXt=4qo7-ct
zr*rHAy$l_IZ`;};vkmYvT8=*+=+iYa5dgQ5Z4JV1#Q$b%?ry9nvkT4JuFH_B?@Xs8
z;m+#_N5+xfPQ?j})7EULGKH8v(EhRhitEMTTIa4sg#YVTquTFPGYrUrgr1k*yly)_
zYM-3|?)%Lx;H&mP!squ3^LvfipC8prFyHZBqB1m|wvV^)J{(r^fS1SJfX+5}fHswu
zYZHdn$Db`CfU;pxxuSXP>8E-s^+Rfz%VficuXa)ggN>rqq`&li>OXaersU+h*-U@`
zPNZI4a;FZC`j}*wKxK(N})8LZ`2xsDB-MBDp!d-fvekto9wnP3imnI&ie%ngqT^NBxMP?dHu#
z7w+xX{DB-4%g(5JC=@Y*?;^6C4`G}y2W)G?GJUrNooih@r%gbYgBT<2|D394qtmJT
zJipCAy$bLTfGjpLo-i+nu~7gnO0ZzA>Di$s7|mGrB2v?zHG7aj|Plwi&GkKzd3
zzR+A0n~FCivQrrwq`W7K(dEr*5TO4KDBXI2PsGaobgj#2+w1oNr|TgM=d%V8XM@Zm
zr{xizp*Efe8hFjy`TS32+AeEwKqS{%+k8a_Muee^fe_updN%lvxz>gDE34
zhsW*bfOf95D4Wj!3AE;xXm5TF0+zX$YI}!k3knkdRK7iA@b_MtSqh3ZsdHx8Tpm04_;S?`7nr?qa5AdCm3eb0dNSvYCgQk}
z^b9Ta(yIKfqi$Z{k27A*Zu8EQ1}|=p?eu%9fvB}e(vB2%Z5JR_hUZ(g2P%I=<1hTwjrYKYLFr>3GL7SX8djgL1m0DdVd<6j@-
z1V6v`J{3I9#6T$#&lPdo58zP{ndqv^(^z_#!L8K9;}c
zSv;f;09Ngc3u*>@=VAE1_dDPR?P<_<0Ki;k_#R+O$(gMxeUHug{Q4Z;h2_3%-)j!-
zYYx91kQvb;nRN`O10CT^Lel{#(6|eC;R(>9;|f`A5Q5dym}nlXK36c^8*zu)Gf%SpU7Pu**b1{@d_v4?q(k0
zsXVU6G%ImEEbmE7OkB0kc))+h|9BdB;+_q9c6-Txs#mvV6K31$(Z*Da6oq9mZ+K*e
z?m?)U>%i?j9D(yqSLl@~y)yb#I0;)MNGT(i_KF+U9iG?DxN^Pr2$qlpsK7L$|6ju$
zUhRygay41daXI5!t*T&+H?kcmSV_*?o;Ux=*^-*uxSIR%^V$KMx_E`vf;+L8I-M^~
zuZG;rfxKLNJF;pA0H`~wx}6%%4!hmH8I4hE`a{{%@&4*WVr;gWNRs)#WE!w4DQkBjKrM=pXd`*g6zJnC63xN{N(JzZ`Z3#{uNN+jYH!{b
z*h!vmDB#f34xV%fhcVE>n>xnGM2Do&{UPWpRLkf^0El*#P5BpWB!Ij+Z5sI85SW+E
zJ}-d>gv?(WR)KF@E~KenH2gl$us@|o9H1M;Yb_LGJc=x|GB}OnVyiZxcj#k|93CD9
zmU8m*dv`r4GlAfRObZ-?+f7RTzL}P1N3R=a?}V0zhL#03y5rg&Dtr@+>Gm=JZWp-%
zT=rS>!=q2mpeV5w@ZSZL5CFx*)wqkV(3ZdF@h0w46dcQ#07b6(T2C2l?0Dc>7CbE0
zC%&}Vt!?h`jYgacx-N?e=nJ|&RmMI|t<)N+m}kmPrW>)r{W&L>u`p>MPiz1upjyYpLw4f&c}tzM+^KkEXAq2*<5sQ#_#{YDoj(S
zqsnrF#XK$UHE0#-EBts-A(>b8_|&Ln$;?sW$FI{X{yISQ;to%
zIVJUNqx$L2hlcMgdJjU)phC13o(fk_L{srz!T4gVCsSNgd-7miN4F>B8)~D1vJaIL
zn~8@MD!u*^O}x~{po`P|K)sZTnO>sZjYK>T@xqIJ=9;>iG|
zb3dL?Fl9c_?EQFao9=bLr*vWyx`vi<3k$JYf-p4ihMk)$k9_%80i4ceB4u~&-E>1i
z9PMCdU^B#Ct`Ws1E?EcZ;LQk5Q@q&^ay)m8
z-+n>Kx$5nzZcQd8hfFY5f>wH7IL{fMYui>f%9n3WP0x-z{#~Ma&)#@FM?~>&zI)*N
z!BC^~T|ZkyRP+uQK0&tv>6(+*(}9jbXq)=LpR(qD!FRku=)yeryV>|$4yJ-L_#Z#+
z0GT4yH}o^`&STIhWpqorusbGX`G*=-o{p7H8n7Sl=4YC_As$l@|DDx`g$u*}k_Qdv
zV}!ZZRhoG9nlg&un6$RVPd%NfLkUQ<%@q#SL=D^hnyb{kb@UeC=&_NQX21PVuO6wE
zJ>`y#WJfJYU+wu$aO;)e>erIW>qo+aoQ@5@9>qQR;hK>~BynV8j
zcIRH}M#bI~^=gCvEqm{}i6krx3Evrd^%V$Bnw3^bKH-*qmo;MUeo#X=%{`C(URDnaq_n
zi_z9%08^zZmklm=h%rsqKn!#XPr`cFuOEHM^V7m?HaWmFpU(&=e2wF(Yt(M%a^j2{
zH|2lS#8wBnp*WuLKuST^a3ycs@C{4J4PNoJ9dnHmT&H){ztNCD9L^W(2d9R^5wl=w
zX>_D^rEO;<5DF>KANg)DnKjH@t8SEmXdNwQ#DU0D;--xm_`2MQz`L4a8rJV6qBe96whS8JLv**d9
z22G86qv;U_s5f_=VtxVplK`0e)%WXXX$KjV4)`VmNBd#e)c4@g%DkY6Y5Qfek-9tOyXkeK;n3Q|L&pKr?tU-L9zs?c3z}J`+>3*tIv{?eF!91y%v^5;`23
zE|51`y9o#;8yqty;1*s5uYcPQ;?$73!v(z9JTki0NB@ZD%JV$mZa`iG%{TvXvjE9(
z;Q8rvtwV!wc8&^C!WPJonTq5+5~oFxkg`$HhyMCy9d#`aXlP1AeU8cu&zx(Wc|F7@&E
zgE8W1!A`Wheb}uPwftcIv0M)PM%x&?!&5WhN{G|MpWouKDjL0=GyRe+;xWTZkFd$H
zkcxhKn*KHlQ)-fDSc!+JSvZ*Nf|3nrz3>TxIXJ4GR-E4loBDJD!N1}Av|>B243#eotNFeHSB!0=>msD4lcGFVm%1H;jjVRbMI
zaB<|)1-YY+6{d8C$gf|6G(-Oai`h7InC0>YL2ns*53b+K@tqWEr=ZYwf6zZBIEvQJ
zCTve}r5{O`v~P}nEDViXAMjO;7x*MDo>Ab+<4G};{WE3ea?#pRLVdZiW$3JNyR%p}
zn{-V1HyQHlj`xDCso@r8ow$1yM4bBfI_0|;RYs+JxO(6z6T0A5eqrCy#SO=esk{p?q
z@M7h^NrM%u?|w+6NWq-UwT{P3*DhxK
zgv($!iq6RurSW@_~$Zd(<+Jpq93)e3J6k
z1*WnIK)~c3h{0oe4!hI!(&t*;>iba#MqXv&I@cUgGQMQ_+aBZ1TWh?1QFKUytmwcN
zrhxcpE_Z!I1ptxfq)kU0(@zf}Bjrc)(b
zM_}X)uw-phm&*J>fZgq8En%CQLM;~`wSIKgOapsqjM7w0F!)RA!)1{p8A1?CPOMf9
zj-ge>bCS&`k~G*Mk>GhpBuB`^!PL6i3ooUZ+RKr6$WoAr^=RTy0!$K#v9N*pJ3hgI
z^}cN`m@p+Hf&)(k(QR%xt&EnmD-lU4V&a1DXCMiWnd`P?a$#T=0b&)#ZGZF?o%=n>
za(#BgAs4$sLCl8no+FHLI*e7Pyu`hek+`n|gEZXae6)3H&iw2C@tCnicFc-e1_1=n
z?|He>cR?~yL94=J)W^{11@IQ@1DNc$qh_Rke^1WWUU&-O3;uz#fcsG_oW>d8eXb$6mUN
zc}ISbB|22E@^4M=UEq@+qYcgp{le*YupX)0K41^z4Xf~Yxqa$T6eKp1_Y*}33R@MJ
z(visU0@Mq;7`{K!(-_rGupnNhlgmO2u1ynIg7z#5nBYl-L5
z0m904Je-e*(KjY)j;8otva9bkOsds{7Hf4#)Y?EcU`550PEJ6!VI}NqH(*kqiQS(s
zH*RMk;X@GTpNA|XX?k1h1?1v%~ykB?HxA&$Z}-Jsex
z_6UiMZ!XS@9RuAnr0YwaSmdtfq*FLpG8Cn+mO&*u(g6OVpc=@0Z^$cH_}%E|-}EZI
zqD;UAyWP4&e|NNJ*^gZ|rK=r-Ld%RIY!*Oj7J{nH%R5MEC|6^aCKw~N1dAd
z-|Q8jkJYJGs?r3p=J15X{)UCvwII4NeOA+PdD=v|33IAFRpYcM=WUuTd?QrrC!MQO
z7xmRaP|6!ugR0bx4tR^d+*^Rd!c7<9adn*B&Q)kucxXsp7Qg2bMHe2P{Q-=q?0+T~
zQ)~aj{=6iItTRR590_E{U`uMJBE+*LoSO-r6>Ti!vH&P-IGz{$x6{_Q?B1M^E*i7e
z*&C0G^MH9J+R#&yubRg+6XN3xJRp80{cwp1@35&Fizx>%sWFutS>XZ=h6>@Z1#adh
zU@(m>B_{xe4zqgb8=e78h4OKQVrOza+T9T|r|WKZ&rrOp{>j{Vsf5?wSpiyO#$>4N
zA1r*>#MPTn^QCe$t)i`I>4pj{V9e+Un-`;Qk<
zVOr75=j(;XVD4)#Mk{Ihz26D*%9Mu6c$&Uc6M=Tfx}vfc!~X}ErG;X!l>0!Kq$!ib
zW&zQK^;y$Vp_uy1fGuP-(bu8+c_G#`1%0l0QHq(`AtI=j(LxBl5BsCn|6f
zUA9X~&^3A`YxP-nG=*8JxEUfh8L(66e37Pv%M4)DwHk-V$4$Rq>L44uhc#9}}eK~B+iG9mNz)efs
z7YPn$_^|@wA`BpWdYIKDl$i7SEe#sG`q%ZdxS(sJr>G-D$mq}@pBb+kcJ1YFHLv@9sD|1lz#wJ
zWH~BA&7<>1u^@H(!%8szNsQMxyZCPP
zbb@zYsA*nH;=$$_C^y19A*o%FT7`DICb~%OUm~~2h}BnzV>PV
zZRE%q!)@9yxl;9iv$JG0IsEy1Bi7p2-N(&|GK*V)p8`f^ckvM)#Ifjf+Q21v6J^DY
zJszTnlg8#e#eH0X0Y2A>Gss))g>qvlM6jS{5DA&l-pOB-Z)7?co9=^QBj**d3w};f
zWZ~MNyg~(>J~<@cfZt)|Ka8jsL}MOX&@oHk%-8-U65-seXU(gd2Ks{I)do$6e;9=X
zc=w&wBQb06f5DRMoiht+$FP8c4*D!a6+m}YswNAlJto;6W_u$z6bFFd>K1UQFV>u&
zBP_mK939YDFoqEthy2PFa#~e-J`Ei@*SaALTlK>IuoirHAO-NgCSX=HZk6MX)zH-u?d^tEx!U(F|!{en8%BS3T{oT08WRFQamvs`IkQTvUebXOa)v>sw3?
zshVvC2oxvh!9*xeRzUvVn~X*V;P7^~I(&>$MnDD&GFp<%K7m=@n11Moz7ydfvcCp&
zRixt6?5Z>fjunERjLtoYqb+GA<=G1&D-QR=RJ205Yu^)pZn)OpHjccopKa4SR8kXc
zH#Ky9J24Tm+~gbrzt1szWcu=@6VR3{?e(7PKbd{QOH|uMHKv=akCxI+m}>MheC~$_
zMBlTD>YtGE6+$`NWmD|OKE^}&B|Y9molzk~QFt)ED^Wxs{u{zJeKKIrgEQArzQA*5
zjn5f~r96_4e?vyVO}IFgiD#5pL_Hq`JY#aC!abF^5ut$>8UDhQ7W7i{Z;x)3&(f;a@
z*U_bxAzCB!)ezLtG7dHCgg2qF#ELE)2_`a}OcVB4!wQ7si@
zUXWjgFLh>f*SP%y7boI$Bci!`1A3D>rNKn9jvflpBtVQ|G~oD*$|xUt*9B$`j>7at
zefRL>G0D!=r9y}U0OGC(ZVVT@S4uj;W>F9g6pZ!9
zqK8*p5FcCb^8M+lHl)h9P0+wiQ=_mX1rr~Rr)8yLgIsmDb;oi+C!SmKnQc!_Sqcx{
zo)J9mi|2+cxw*BjIav=B4#a>utgy91<2HoGh!#hOS?!8L;Tk6+g!41%(&(8O^vPn%
z7aQxYsU}19le~cu21c5~s=Gs`-4e+^ZyYqQN795OvT7Sq
z9?|y~&4en$O<7}3;HcMqh%b*l0kv7HMGSoI!>p(-IP~V%
zH~2BRXQ=_B3m1^H=-Y+B;EUWkIIulrS%qmB;
zLptDk={HgMUGrmTwl#+rnygtH8sSI#pS8zB(KlEd%ob@I+zdnzrH5l^O>b9>QS4Yi`y7wM%{2Bf3634QPtEzal`G<#$;z$}_pf`_s3;IHOjnR-2
z!4rTfknYOz3Kc-E($sGNnPHY6)vk11;e-rL3F01%HsP+uTmSUxy+LkbrBOy*p3s7!
z6{CC*4nr5c$PveI4eK{00Cd*6VbA2euSbKf{Q$0bXbT21LAsXfyo+6%9X`5wjq4H*
z-mLq*zCarOyNepLRZ+aJl!385$&T(^<+}BmqsCXrRR1oUBs5CY7VRppj938&i4qfG
zHIw%g5MpH#fH5FIdUF1PP&_}*Aq^-0O&Dp4zwD0%$(2t@@(g*C4M3rRzk~T6?<+Qv
ze7fg^7PEV0V7gR-OsbTK*+?n&D2S122yAD+Qiaqd_6-mcnWP$$&3~f^P?KTPoaP#R
zF5_gvXHuNKUmuxn2d?*1W*OkDtLcj>^l4lJB$?rK$%bE3;hVRHt#fvERe$jO=qRrc
z?=NU{bb@n!7+J!qu<5igs%JtdwMa%0PN_okc0PJ0HiNI<)&NFmnrfENxVUu<@mN;FB13{0=T|z?AeBOs8!I$whOK
z`^pP?TNRf!^oKT@$LMcD{WaoCt^SK>xB3sDV0HOW6;Q|p(n4OpCJjG2{NB8NcA0c3
zaAqiuEm$CISM@2rigb4F^|O(;<1|HDJE-H9{0}qc^42NynSh8Xth64442IV
zRv`Bm$%6t#b=9L|zDe~Y)4qUhu84v4hcF;k&)KHaaLJ&V{0zO5agxh71Y?%<``&$t
z*g6gNpv5EJB4RU!gx9%SU?oOGY(iD57SC`l%3v*h8mG)dJfKyB{R|u|v6eSW0^C&W
z%8$=3n0<>uykUJ;4P@i>U0}%rGfChe4R7bRml#i;6q1LF$ot;%Hc^@K!{e@EGV=vr
zv&o!Va1@egSGBaSpveFqKOgz+>YDL5@qgsMRHGWRT#Owj_7!x$8kCCxh)n4S&poxh#)BuU%E`B}9o|@thAuz(HG(d%M
zV-lC635BIz$)cNVkh7wk0pq&6yc~u(1H2usth&s|
zLn9LgK*h2HT&Qm=ZyQ6*1Z}!MPss6jGX^*wSc0<947ocuiU%PdrETfqw-Yf5
zoJ#ZjvZ@UHkfN%X4RQ8`t|HMAnm#zEDHc&#^1`Gmr}3|UBI{%GlFsNn)ubstS9KU3
zRARI{pyZkNz1`K-wm&iL?RA_K_=nlu4v@u4n!Uc_)N)eT%Pp3;_?+?h%eali6n?hx2Bzzo{({8E6lEh`x>Y&`oUT^RG!Sy!(Ug;;kC!lEWm#*^8JwdOIrm8233iTS8j6$|Gxc^G6=v*}`SGNBKv``zMUq!8E%
zx}X}geSK~RgC|J#Vvd0GhWAEYPyWKB8iiDBTYtsRiE2;CS{rh6rN;fk{W3f~yZVd1
z{LtH)(0$5Vg_KqmR-o8pKz|;z=JoR%9>NusAH5Fb#BAz4I}V;{)!kxI9`UhkD*7kX
zp5B607$&eWJ6>#E{2K)(%Eo=Ut^-4okk6-*q*i#{@|VD;z92JEi?Z?gaw56w;A|y!
zNi$*#lcsxE+|yiPJmr#~q;R(qa{aBD#IsW-*6OFPi4O3_y`rV7m4^tMBKtNaclW0<
zYOBS+4FmbNb=yfdxW>8kU~0it94>H;OB_jp(EvkGRWgWtW!7xg?D+t3CI1l%_LCnkR4KWZNdoFRod~AL&{YEgUWZyS^rV;6D|q3
zynimvqddTzhwKe~Q5z{nt3t=kA{2ZQI#UO@+$z1|Dkl^kVqFzkDLyOeTII6Ws%A9j
zK6;`N+7|_YSOQM!zQy;SO(ZW(0L}{xiF7OW8C6Fm1LA?tEm@L<1Uyo*dyfEUK&(37
z?YFGwS7RkjV^mG$7`3)tzU5Q(zymBgt9|TBpRLpHVl>fG)9A16Bugxb3nf1q>wO+A*#YnpnKu(lO=blRUFvyD0G$(nHP%eI&Pw>X+rV}5h`ONVOY)8;0
zLKHFaoHc(W*`HtL8ctU0j}Jy~RJo0H9B5okLlYqKG%uv>uk3E0F!}Ib-
zA~PnTY*-kgIzHTRV;3)zmuWuOzwFb`Pt)VO_?6f^6I%nL`G}|*@RNBkY$e~-l=c{L
zFmJb4Bjz+XhRvL@CD|ES{RHIJ|4npc>QlZ;SZW&{42KJ|RY;Q@o8V+KWmNx+fS$;8
z3%zTio?olvx;UwsWzw$iyrXDReC!)w_9-@bUODbpV3p#}#o95|3d)!_+?zGiB&Y`8
z$A7yowvS^-_!0du6dH>@`)8o^E0MLjXy?*je5F%ykZUzSVMznGAEt&imfrn_iP#@i
zCH(*oUm{)PA*f64xc#7^P*9pl*D7q_Ufo%{CqylnTRF}pmmtti;T;pLebIIVmcY1j
zRqWkjO_5l8Jf^My0&%Al88lgZXd%t9rdEz#=g#I|)@lOU)O|&zI0RLlgL0CiY&jmj
zTiUX%ck&1lmceCYS!xQezXh)m4XmwG3kVbqBD0fC)2W6g!?UwVlXHcm%p>pQ>$5lr
z3-cISg^AkN{e-WIbJPr8xuPE#s)~fU(C{q=@pknd=I6at
zeGiI6>08{+p~yVM43z5Qx>A!99gWT1-@-iwU54V6in=Mm^@^>5>IwawgGVj_r~;Y|
z$OP6JYFW*+tGAI|s(SnLX8XZKhQ0IV34x*B;xuA3Xwcj#zoE+C^WQ9@ULRod(H4ev6@
z0>_qq)rjlamw3mXSX7NxjlS)w5q^!eFsH%um95ua%aZ*5F82>h*e7PcT%1&@wC$da
zhFM&jj!ENEwC{y1D9QaE;7{Y1jx$zEg|vkVr{;5)-Xj`G*tJPEHZ6rt%K-SBB7%W7)UjCO;=9O?1QwIrHFP|Z7O1ImNC{yJn
z^t&etd*Y{iOKJO~)Uw3ff8~98?%9H46QiR+iJ6m+?*)QrQcoUS(%E+s16Ey^Q|*Vy
zkOg^0NRb&zeeQvK)dFNuT2@ca?|2}-7Lb?sIi+_y$mo%_usCQ)cFz=p*~R?;3vFOv
z5W==%8oBi)(+}D^R4za<8HcSi+3c@zneU@c3xRXQk%@zTtTC{Hd*>6R0`VsTj9;5n^I$O7TdDUD?SnA{COGp<;x8&3KX>FVq2|H`hr
zPHo~~=$=VCs23u64@E&qxpE~Pp!$s5!QniyQ%_%~dF(qg;#C$A5y9YQ8DhrMYx{Th
zYZ<#h0Zji8%R!bji$?X1*R}MHorj6$Fiqi(>ue2*)YAfd+qu@=em%W;4O@mlkVP~M
zMKG7EO3x^|QF-BT>%i1T1phE(o=)$GeIj9R&#dz>KlAUT`N7oMn&QK+RaZiYE3Tx@
z{RfDCVVL^_Y)UjOoq9^FXsCJ-%<#(^2X0uQIV=04g1z)AbE-_@Pc{>}R;H&tI~8U$9FOv}d_H7QRB=
zi3U7(=uuWlk~hCCgrucWXq1arLjb?SDC1!7*UYV}HGh5@bWt%f
zHE(#S*{0ynuQs6)%pKRa>V$=j@BHdo`d(}|akTrJhmuXvrfD@A?wj5_IPj@l5tl|(
z)AiO}-jVX~U803^FC`|62P9Es;r#ogOPiR3?p7s?=Tf!qS2bH*Nl1eklD2T8Muk3H
z08Rkla;t?J
zIPUGZ-&t8Okr-bjw?K9j-^RuUgo^%bltB|E){FSt!e0;DkO@ck9^(rzf%O2qkDYff
zr|-n`CnVpm8(lqa5~hzd3nwst$&I5Z=@}cNqDuH`6C0XjDCxl3qVxo{%~N_Zpv9Eb
zsILt51nwfdtE($XfHL{@{<4gBZ^#57{K{urnaU12~q4$I2ozF
zlan|D?x+`GHXeRj4NmW2p=%fIkRbm15PI9Pl0e@D4k&?jhI!j96!
zJh&|E|7PcF>)!oD`=nA%A*N9Ji9?kqz${(Y-DAQRb3!IpKHf
z1V5dDm+eLv`}z3*16oASj_062W-DFoV*B&c!^qQ8I|VZHJ}h}s`jzs`-kHiFPO$hcwKcXLE7FmD3WYO{)a
zkiqWZY_c8w09^oq(HoIt_M;vZyXX1q-#oawIKg0t{#wgDl6%ztkGKrh;e(^2<0FW9
z?7ZOdSTQ+SZYtKSi)LT(hyjns&FJtuz=kgOe({>0pXd0#3e|kFQBTj%d`q&lwDbru
z(#~R~OeQDg5D!ejBjW{I*Ywg-*?GqJ2*|MLJvG_k+Fr
zH@maX^i`Cx6B(PFQ9L-I#rbHT&1KM^mZ|bny{3imT>m}FI9Ta57cVSncRz|34P93C
zWmJMPX5(x4+gh8i+fDctdOq4Vuqa{vm}$0}A`u(@^aNnU)rdsw&yl~hXVjjNGoE;N
zZ*4&#PTC*D4;}#(L1S--{eKktju^lZNSn-WzLR=VSHMI{a&T~?jGqbo4e@}Ut>Hb&
zxRCsWjEsDmcH;5+2m7*%Uy4mL&IAi1vR{ct?fG_!jXpL!gxp3clbSfQ=;`VC2t22m
z1N9)5YHU{X;KWgl?*fcgK5bVcuPMu$qlKSV3p?v-O>V4|vgw-;;u1uL;kfs)A0`Gi
zQuQ+-H2IdE8N5B6K#e0(#*Zw!9iGxWGmo0}SBr7;64^>!zsAj$Kj9nbl&A6DWlO=s
zm4=jTMg>32qFZT2+C%rgCilS5-K#X|wi;?zfe!e-SMN5IiyD6#8^POC_uFi?p3{-9
zZQc4CngBw%$CfWia^BEgWY;(?&z1th7A}cDY6#tl42DPeaCynVB!*W(lzsfl^jM|U
z{L4Yc1uq~|L3!LyWaO2XpJf?LwbT`
zT2zBW@z8KK<9ByzGt{=BDv=^_m@>weo858`J4+h4sDGr@a4N1G{iK;aqdS^5m&e6n
zZ1Q?Jd*AO1sy`Vg3Nx;TjhoK=Wt(?UTUSL8Cl&eAN!A-ZN(#P3
ze|X$h8Z-&jMq0&5OgiR}Hcut9@qod=3YkPNh7w#lwIF}8poHhgnkL`3)
zLDu%5r1t#&pzNaT<-ROIGsTpct}->_-}q9@vPg`UU@fx{Td&Tg8?^)HH!kTvT0IZU
z?9B(^7&UBH4rg}c-cZVOSDIKF!kQ7I$CuiQf7PkGsGXq{nANb%^aZQ7D!M9AkELz$
zS>=1g^PT69%;vBzpU4kYYJBUC?B
zKbBtkt9y0pk18;zGpWcDcPB*Gr8<`AwC4R=w@OzI6UDUT9}{;%y7YLeG_3TFWy4i}
z{~d26$3m06rR6qm^@TLWlS+MQ#zOQpcxJc!F`z|PgC@gN4AJW8*m7P+`(8XN*dG+d
z_+dA>+fdGsrFY!CY_)V!*;l1Vtd8@ehQRJ*K|>kk}m1)lx|SEJEWy9-Q6f4At~Km(jZ8ebT`t{-AIG~
zx$nQewR9~d?tSi@Gc$YdnR7<>nzv=Xf3cCbi3Ey}v+|bZvX>foFt-Np`R63kJ*$rz
z%-hmr!BTFN)iK^mEIc@h$Cwt{Z}=y0aE3=Ku`+XPC{LKpJNsC3dK6b09XN(yY^2o}
zc9~mF71%7B(Z8jS2~D}5nXCR>1}LtKq_~!r_e^os2sqTw>j3}9LiB+kM&y3)hbi}F$w3Ix7aj)2knHK?rKL(1k)746z|2|&_feRWgn
zKcmCRhO5uYrMRh{cyl4si_pkklNC&A&OsmhI-(#7j+c)2+;SVi>#g6gS|}s%Pl9I7
z`jGzbq9b;tqZ%nz$hqP?1K5+yl`&Q8*xMeL;E~u45A*@Eu9IJ+@Myr*(b>mj$AyiD
z&osr$%%|1q&tb%@KK$cM^uJz!%0+YOubg`Mo94$)rvaic(BoJ5`1p-`f5EAh=WB<5
zc!3CHzK(|dt-D!1Ft?z&SBfXSZSU`|Q1m*Vn-dRQ2mCL)8%+-tqR!B4*4qnIMDZ{%hu;ZcD>1TsuR7OcDH{uc3e58F0t!kE)97v
z667I|^={)ELm~cEKLKiO3O?8G*`8uqVhOIVc7PIptd
z!ptOB6r?2y(&8STr~g5gsxR8S{gpCsfeSMmJiSdj+d{jp=u(xdCaOpTe%qD2$x7Pq
z3)9gg=+0LyR5?~NDdrj}`!`%3VH-aLdq9jWlC=C$R>RdKi6^GNz${*qJ7zAP*)o%>
zj|W9?{Qi%8fT2MS=PKT`wOdWoW`Wby@&f;jPF?ldB>_Fso~j#`qiNi}*LB(3r_U#+
ztlmZ#aQ}a#^)5Mpf3s$IXvp*LtTt$zO~#oPi!V!Wqy`RucGP39)bxZSjvziQyYJM{
zJAY=g?V)1KeEjCB5Fg$7vHzC!8Yh|^a|=;JMx)LudZw1s51Y4V-axg?2SlwfrYN-t
zUS#Q8t7|v!WeU06ub-6qWE|CDaJ-!`^}PlTi`#i!qyU5MBgDT@K*^FepgG6AgmIrLZs
zl#^&1`6ZGgHf|^BLHmJkXNpBajP-T3H_bQ(0rdUvzH{D=J4I-J`TgI+yAcbKU;hmu
z0WK7PQ5P$@#r*5nYA7UXQYea6t|3nu&JW-V7fli9&ZZ_$tvlD6ogUIz+p~jD
zuFbF#++RyDyVObPf6vebzR?(8E=l4&`~b|IQ^%
z#`wFgp7QGvdjls3uJYYx0)LE}_UfSnw4hVf)2{t&=E~Qh!_}Z;0Cq`+)negdQs`IY8#{$eN
zTR?4PqrG8KEx5cKex!)TYk9|@wZOzG^9*Aa31>qY1s3x1>bFgB2~C6sA~31I9pj(W
zaHFY{>skPDRD%#4vG}0kD&lK^@qWasP-3EX&0;G(uqg
zXh|5Q#Vx+dhagAtmFN$RfXdOw39@_&wNZubQ+26~Fngy(vZCR(#`+wv$0%0Y(28UH
zJreMFWT|+5(MQ3TeR<)KKoRiSyUe+7v!a?Q1<{$9(QShvV6F)rSDAfFS;eZLhTCS5
zy}4)_qtv96Wczr~^ir4w7|uio0R5Edu>rYA_q
z#^J%3*>3tnVd{u-U{GXTG{_MYl{nvEuv|E}VM#J$9p{|nU?<+z%a=8@|3-0jRZMrW
z(H@u?-EkHr0}r+#$LVH~i(Rr%)hnkS=)Xg1>P|s%FLWYabOO86UWJsfi~wD#W|@~V
zBc-d~Db0KEZ(K@rzR?0A_5-uniM01kvRaU)qFfB;j`A3v6hm*LsH|KJ%flrm^g)1l
ziOWDW)+mZpx2(7IM2ST8IXoP@nKRlYF$ViyBb9)o@5rEq@R)Gwexb>NXGhTu$u8PZ
z*T)NLv!-vrX6k)1)%*=ZdOcTIOI7p9yXBj`2L@Y4
zyVAQVQ89&>YKl3r#8jOvL?EArl`SEcefwJj0hwc*DAPSMRQV^bOr3$eO+gaik&7B}
zY7uC~$>1eO2BR!T+Vw5{exyRml1%nE@D#G)7=zJZSLspXtnJ5an`fq>woRe|OvXj(
ziTUB{ajOBJ5_q{1|9Y-_Dszu&*0~YS*v*3JulYhB4^meevp3(>1OXu{J)UR*%cxDl
z;;ram{^)XAV>GT74cLT{cMC2|>BQT>TiK7I>R1;?q=!#*H!S~q@EE`V%a2&+q|))v
z`uMi5*S}btvf$+VC&7lG5guEMXu0$9((#yB(}sQ}0U(3^m0TQp1hG@|#KdnLy}<|d
zrQM9BDFqQNc5aW*>3%B@M59+QaEu=(h&CNd;~PAw$V%Jety_+2{h`j%W5S*+08?{y
z-=^x%^^A-VL1Gppge?h342l%_q!f<2|dzOhYtW<@GX{5X#d2
z4+N!~MLqDO6_0;1lvk6|imZgxyvQgb=A9Avj!|8f`J>#6?BCU=uJ`qL`}_%_~0
z58u21Z-?bcY5e8eoC<&-OeHv5Yd*3oWY~_%$T5Igj;v!f^_4o1S
zUfPSlB^kER{Yx95oOy$l#?mIR^ZiRnen8*RtGo5xegYQhKY65RUVbl^D_)qo-h3-}
zqGX^fm)#~9_Fwc!kDAnaeux-9zu1Bri+w{GW7bahNWfmvpubP%by|_Calx(JanMy
zKKi|O7XtW!zN$gGW^_T2hBfip*rrq*3=7sICUthUTb
zle5i?EPQ-fNJXl)(VWjl)CJ@@t$vg(#QpAEw4BDu=-t5oTX!@>w)LUrtNsV--2O2Z
z#bnA!6aL{O*F|aOFD~%*Ihgf0+_KpXj4>tkLJoi#%qM+wUPu(|>=HxRG)5!(nk2*W
zlbUCe@J|x6}PNPIM*raFfVt-*u0`)g`HkTNCV2n$Wvs-mrXq4)4!V
zHHphvt@f)+Js`+12nQ&*Q-y`l0U7*vmkEOSGd__?1!wdiK9Z{|NFCQnN@rx7EquC1
zkO8t{e1W|*CEb|Ip)HXU1-o^1+#ACStfTFdsBX+>^DQs%^HNW;0Djrfg3fm~$l3-r
z?v10g^QBrSL(i*(&-p<-58iftU*TVAQ>lDBh^e~
zDSpiA%M%g+fw}vDAchx$Mq&
z7PjCDUs>^JqbZyhcpiY7fIVo`d9irJzM;E0(@R9Jrd@38v0w$ehPl1$kk`#gR_Zfz
z)&Q-H=M-Osg)!mjP&sO1arZH%
zRXjgQH55#9TW@%&p4c;~C8H$?=u`A?my8pw2cQWL3f^H$xTR}OdT;2$iK5`YrsLN?
zD8LY)M{Uk{;l7O?i;B#(Fk2q3V5c_@@70`1(f34bzc&dqPf=R;$@ME$2hB;_c@PnM
zb0n%nM~Lq76U4HsX8hF%g+biT^qI#S4G>{^TmMpMfz&B#k6cic4&m*Z9mgS)sO{BUQDW&8iPR!tT(X%K2
zXnagpnTDVR(%>(W^eK6g&y7QaEdRL62P-M8dH_x5j7AzSKN~E=3hB)4trSjvJ$5Z%-;-ZT}m7F^ZyjVS9GfDOrgb
zsD4dDMbV7*%PT%Nqh0xaHigZM#Xv93r%XZ+ok7Iib1ArW
zLlxuZHbkVriL|GevbHRyFEGkH9(3mdJ!Ntz
z)6(*h!z0$vA>}$J86#|;XBI*LptewKQ^+aGKLmr5Kjr;`dMHg(%>s*g+9?cq&59Jv
zs$(N%fynQ}!4YqJ+BfV16p*B9ac1%Ld%_0xOExjX9AkorM(zhW3J{Sj!RJmPH69=f
z)$vyK4E~+wMf-}&WmK$JBX6L)2R%qEQ)QhUmtQ2NTK>@HXQ`%ek%Pg4ir`?FdEMEMn8eXx=T`#vyf
zLcaX!RXRA5i?lkS6~~=AjhVu;YqcKJ)4w~IelaLBVA(~EiB$aL#(-!%HEAh>FjKhA
z&QCo;^~H5V1(HE+fXd^2rBur&xG3R#Yk^PK;n;H%bjcU0k8_
z0okDTeHK87R=8-A2>VuQf`V@g!cW)?{HK
zFkMeB!8dann^t&})=AHJ51DO(-kWf{CUy=v=8&i|I?Vv68{@*IcCIZ!twMKb(sG&9
zSM*LS5z3t@qOyw$j()zV9eS51Zcjyc<8hcpu#ou
z$5`<~^&^&yoDmrlV>Lv1fO{+A1VAR<1_n#Izk&j1Nje}mu%#894_@3%T54a~y7T&-
zyzQN!$+Mb~WcrP7vkl4$Y7Uw#ZY8f7i==OZnw8J4ZfzbZf5xZ=U}<~xT;VWLp)RNW
z9ta(_r}D?8Y3rG#z*JpsY3OX9#uVsRK(18EA-7_(R)1krCd@Mg_>wTry1YHH2DE(Kx
zG%kt#W-8P~Tj1$zF^aooa&6wQ(tr=vGA&=l8~GB{^K9}J-yAn-%YleL0WvrW2?yjG
zcU)iT%jjVlg_sPVX8N8)YHJ2U4z)cU#G1EaIN%dOE2$KTQfc**MOLr*(LGHqw2l&F
z2-xQ&2#b%~x9MYSW9f)?YHC35z>uuL%wPFwE=UvC>{`-_uakuj{>4qY1uAzHItfIw
z_Dc2}rrREI6ZxJ)yFepU*|4A2sRO#h)sY9uPDckhw~
zWx$^*-fpm>W*qcq%2fXbYt(of>_NrDaxd~e-nBUhtutaz_F$c>2*
zWTJSJz3Qrou^d6AWX{ghd4J#g>uO-v;166r7t&t7S9HWI?z#Eu5ZamvfH_>7pHRF^
zuY9O{-@0H2@SedTL=+Ev@nVeP;-OXAbDj|F4HT71UK&50^^FW5y(4IGM%Z%-rT?kc
zQ$LW3+w*Kwat~H394np%=MR1xn$ViV?mdJ?lG=LN~sY^
z&u8Bc88I^sW=crA0%`Er0%+eAtjFO@BkXx)Jq=35YYw=%4!!ORtt12}{>OTKW09
z|L$_NpWvDf|4eFu*eJx$P^?H*bMi0-Y`Ly~gkDMiJbE3*?%ocllE$F_3kFytfrx=H
zU(s=OnN$Q2*`qPCBJ;dx5JYO;l0`%5TuAIQn~BmV%z~yEBKNIjyIr`XX2f}9VZptnAw^o8ksKyRr7)4xIbG(o1oxprRL<+&hPR;p2bJ%K;~mry
zGv%L&L6{3;N`>lo-mMhyZR{peW^?YlZV(zO|0GpW`6wOs&Bn;Mf*j($&&-KZgg^H6
zYSPl)7p59>rEJO6TncB00y|KwX67sLQa!`D)#pkm(e>o76Qk6Z+68=6fxRkvqBn7CKi8%>J2wbj}bA?1lrwRWHn)<;xnB8;&
z>#Gpy#T^u8%|i>{eqkXB!T)Ft&n`{~{T(Ps1A5*m=*8nwuKY_mw}in!(*XJqI`@I=?8aw~|0%dac%0St3Mqpd^i
z?eJd``d2g?Qg8?ka|Kgjyt1jO1>ChJhU}0L>RNQ8(EkNwzm9Bng5LNla6=VQhR#;dXxSpZyq-yUWtuGi^Xmd{=ztXk^qYx
zw3Yx_7SAfDuRJGzrr(w6)5Uj*Y+i*n&B2O6MVCHL8)s}lKVVn!n;g^N64XFJ0DMHf
zjj~eq;a#C3s9$l%@tm0$k`68R)u^F^(8mAaD5tBEGFKW&W8lME*=*h+xt3^zVS7;6
zJnP=l13^H=L0c6<4aAngoB=D3u*lS{FSkGdvfIg)%G$K7iI=O3WaNx0)JqTx^>@J0
z_5!u>(W>M%7u7eIz(QioS#EK(C$e_=IL*ZL?kWzNsu0@AL?sbs=S3pgO36l%_Oyp7
z!Q0h=IzafqIs!e_*6!e5WG_Y?5dhR5XL_19mp!-g05NT;l*W74MKqFj(S77fG3zAB
zXIUHwO4ZY0mp9(6`##FyU-9UUocn9igqK^3AQ3`{9VGSvNT#n)8~PS+J?~b&o|XQ`
z$G$>SNI@iDhtY%6v(uRsTA~vBR@5|s0DhX%P*@#*!#DH-hmG9YB}9#P8b9yuwnRW<
zAaG$E@ZRR;X0PV^=g*pkGQlep6LH()?K(#VNZ^X@sOhFr@KCgZ+
z2WLS-LQ&F(SH*3ZN=e>Gh~Wo3vszz3gcC7(BA=c9QTqmL{YrNrtY2yY;V!?~Xg701
z77b^K;Jofb8bC_FqR!oBmNa4Z(grOUPc|F2AlF+lQ-`S7C9#BM87wuLfH7p*p!(RD
zU=vZYfT+Czc&{pd!CyGgmAahp0c3o6uOX;^@%@@`718p4BZx)hS?3r$eF9}q=H|b#
zjKF95?!x5mAX9E?_al7%btu2iL1B&@bv-`7QAaZNeDlk>W8eRjxn-{dAq=`SJIW?D
zw4?4UpvG?KoF_HSb)slzVN)KpawqO8@WeNi4;Tvj+z@E%RIs~7EBG(S$w8~Qdud}0
zw}haV6ZF~?K|Wed2N2Z%t_Mwz0
zb;VKV*4y;xsMM1Hu9~d=KlI}7FO1|nRbJ^7EJa0|Pa(
zc&#*<#pVkcj-70ec4Gon3`dh$&HA$7|9S!Vx|rfmC)Tew
zLr9&3hweYTK2=_G)Dd*OW&D%e6m-N&Tr^BTu0ml&HRg7%xt!d-{+$Ia_4U`*Sii3z
zSA#qO+?lX06y$s+Z+hkE7?kjUaFK}Bzdww@Bo^{z7>-nXw3wAYz2VRQ{_r0
z@7Y2#0aFmv=Z@JLE^p83T>1PWZ?Qp7t;_%rhd>eH2;4kZlZL(-Ou9zu9Rb^mcHfE#
z!^H*oXNhYB?`!GXEJ&ilp)#yMJyYuW_0RXi9&#oFG
zNjv8i4tNqp7Gt{38I;xuXsv+vQu@{wG;L7S*mvz3%7LOS^o>jlN#P&aQMhJO;ah>s
zbHqTpUGp7X-9nSutpw^RDijgGC56}&PYQ<#a&m~7M>}8p0ny5<#W4ec^XJ989lTX$
z(rtuaqJ`50pfR{-isf-)7euM2UiVcw;?38Z=wJlXMMYOJ-+}AoX;faO4ihmBZYXkQ
ztB6-h|97%)&7Yu_XNIyNkTbT(zGOoJ&Z!fKis95KKey!da>irb8}7TiFgGDB7d#d{O1W;Yp<%psD!
zey2pF*m=j7?Cm#APXIw^Ngl`^s7`Rb6uV!>yv9@dQx?m?Id~xR>+@(^0_|s^HNty#
zhn*O#Sz8`yZIeTFy$(>|*+)48GJk^FqwGp?_;9=i*wv@q)0TCDc3@uIEy=6h-IxHQIcJ2f1_QISgtptaq@n
z6Q;J2^&A8^p8n40RXb>Z$^zZuc3cL@VB|S<2z1^r%2b0QaYs~}!cWf5B1s2_l?WMvFIem2_ml-q&ax5#w$wf
z_o{FPY8roznsm^-X5t+T^@%|;K#~Af42$jq+mOv{O}ASH>~;N8;N{Pp5AdK3lt)UB
zo>y(x`q0W!Bb{KbH;rHQV5jBRxMRTt2)E)vn%s$xFDAIuyfYMQw7xvDXQlogO~0c`
z!7mTz%8-AC`Q0p;ZlEkt2XNhnXq^LVuN5?*Xu|;ogdcR_Mkh4Wf1x=T+5ZW@zsI#y
zf5jJc)fn_c%G!dtXxU5?^ba^L66K9mX4C|l_Q_z(=Yby}cJanL@&#=ileu^E
z#hE7P;v`cFxs1QvZR=cELbj{4iE_7p)OS@BA9W~!;xEPj>cLSuN@6kJ)Fo4B7*r5R
zD0SgrNwi1x>!foLkw6_{m3b2ebUZi-%SF{YvMiL1asY-in8Ww5{5~tVrrL!q(V0q8
z4&WmLF^H1o-B74&
z!!zdKHy1?RW|YN18H!CJ6ro#>aA++uO-$mW)lNsN%1s`lsX1s@cYiM!CP`t}nK_M8
zvnnX9XWYAyLW0Q1;C#ly_Ky}Q`}}uu=apb~Ma?YO1+FcyoFX*Dmvl&~KsV-EoQ3YA
z8n>^b=b8!WvfeA}1pR+Ke`)A#+eTHS-N>;5OKp^c$|rd1`zQ8Cf^UKVHs=t7K0I1l
z?DzJIPRNomf&<895#W7DEiC)Id{!_)Q<|PhnZ?QhGgLzwhDOZ-D?&2X7SMA+WiSR4
zw2HsWR(&m&jXh@Nsg)19tFCyv@4Cc0n;16ePm;c>3j5-c)L-MHmNsb}vqDkbxx|TXvtN
z786NW?K+U5`t?4E)MIZ%s*&Ln@}4Wgz`fU;6cNBA3ZUR9fDkCyM@5-eA0;M;8QQgOkoz
zdUfJr%`5Mvf|%_lr9={%ye7vqq5NlR#PE}L7$;AU?yW{|+hcakn|(*`{p&9>d#Ydq
zyCKvuLW}6hHX>r|uD5u~P6ac)OLv<+QHTPBO*s;aVRba^Y2%tFX5v3W9MA|`HHG>p
zim_kA>TxoBVHF^>F^O7EZjQSttTdW%Vdu(ZoAbr@=-hmFjstr8fr@}KnuC!PcECeq
zTH)KeVc*cB-BHF5q=D4|vfO#1KJ6F4zPw3xe=2)W)w$i1-c@LJz4=b|hb%N}J$U+8
zRyRAAH;T$u5G5`o?Kr&NH}~NE5QHg~1uX2yMm+A#Tg)vlpt=JsLqV~BuG|IPM@v%6
z(ZiZ3yW$aMT(Na5{_!)YxU+i1Hez<6!$#zaw;A-#eIPQbyh8-rVC}tAE0^1o93lHV
zDl*Wx9}jJF1nF4CTxm@e${sO5_(_KLz5-~MmHB&AwfL*apFA6Ag@hy=)%UI6bSe?Y
zZTzD0W&DvnXlept+`oY96JeRkGLfq%kBXL|0pB)i9knjpKQk5sVX
z>oA}AG6WE?GUT0IC?p3I-!qo#mFlU?(5weDh7u`|!=Ysm9mJZxUB@I^`ndViw#_Ji
zGIB?FdiwO_N%tm3_#5|}5Va52_}|hrMj!8+RU0<9o2%#JwfiT;1WL>(CrMY%Q-w8O
zcb!?f#gpAPy=_7|zlTe*e`$(f8c&i~?N-jX>0>YX%W^o@O2Gy!J_|k;oDp}hl9_c6
zW0wS$R4<75Avj6@ILx~_WQ_S2=aWGf;WO?|r2bAp%JX||3>{O|MTc8kGU9N2mcQhW
zbmgD_&_vU`)3nRz=wERM2PP;uy7?0MO#PfND@roA1)UO$iyvRd$NX#!HJDTs((wX}3tCZ0!U4_xMCqEVi|}abjvH
zj2Z5IDMN`R-v$0j4?iT^J(;&8Zg(^+OB*yzGu%wr7Vg?rm4U~zdh-k8o1prP4b8lvRb=+Ax9G&NIn_3w)!ce
zH`&KBt)W0@yRK?+`25}q7#|*Vxmvyvq)Lz7s9z$NV^9+KbyRiDv7KBUEbCE_304nM
z@xtG&=6Pqs&tG^~jp|;|DpS&{k
zK>7(+vMiB;Qh|7zV`CfNl`iEB`O)d{VXp#R{rZqgifCs!
zn?~`QRDx_(XEm>Ea=jy7Vv$vu_}TLG0BjX`k#mUzR-(eom#S69DCm^d+-7ajF57y4
zUWx>8+0_del5KTF`DX{s#^dAv_z?BGyMVM2g)bkaC0^n7mB{Lap0CdaUF!#axmC7l
zdkC1^?#cLZitS8cABLZ;_1xLzB4S&F1(aqK_5Om5sK=SbK!%w7k$+R4U@5{+$z5?#
zX3Cn!IcKilwD(ODWkU#)sow62QO?VD?q}?4Z6Dbod;_iF$gd3$s!=PCjHmkeNBNUt
zjUYlSJZ2p`+1EyQGrkC}3ojM*us^qB!}X(4A$vW}@w_#BcvPLFr<@GLC+gc1jGml|
zSetB$%%A-s58%x|jyr5L4dp4@qW$VLL!XI2JSIgWzu>1?!{@482bJqGzM<{!w_02L
zv*)!CSpJTI+yjR8WS>Zq$x5AMC!7D=YTcEzxq+6x@K*BN{5}KIJCDc$E?_Kd2vLuc
zB;$L`#n+AD*C&@Uet}ef{e^Hd-T<{3QJ?~XLfvmue6ATtS?={VyVi(`(w0zh#oAzc
z4%zJrk&!oih-VyZM89P&l~iU*(Gaii9t2V)R`R9}+kD^`YeM)rZ(Wi;x)elxH`<*Y
za)MuG_s+}Y{48o=773qL!SytT-@$m?auoy>iGFY^L470_Lj&Kj598%G=Mz>#0xDU_
zS$;#&wvRbGAM64%vo=E!boG&4tKC$m6
zRY0iJ4dYDzPJb2s@ZS!wfbIZnIsaGEUcXIFzE;I{;sLU#ih6KquY+dIH!aDui;am_
zd9i?X{IPDOuQAzTB>iRK7}4gs9NE&Q!E$=j{%30p;3^kL^DovAex-CY#9*xRwBP7{
zvQ*SF9s2&IOz7y9Zk;?_J2J*=U)=h_ko@I3MG{~OE=8YBS5$I4Ma#Dv)30cEJ4)2#
z*5Oz&t;QF1uUq|wsx7yLcc;=i;CI!zq@>^GEKF<>frF8*CUy6Wh(e$
zSgcuDdcuy?A>0n`RnXL9^+w79#>z%)NTzzwUL2-3hhx{BzeA=wYzlk72j^14Eig-l
zPKOE?ayjz%l_rDK3b78AEmDA;FTy{crGSmfnZK^mi|n!FaKOSp3oAFe#@2Rz*_}=-
zh^93pec<7$4>Tq}aIs(r^CmIJzm3vKVE?xpQ&gd~lutC6h8o$pYtfyRn~+DWAv-{y
zb#XScEKe!DBBWFI>3A|K*?Qo=Xk@>KLT)$O$mxbEefUINmbr7W2cdM{ajuqA*)8B4
ziI#ceQB#fneWcfCPM1?B_~fB&m_yJvW|O7cCyUzhkqJL94iX@W&2iv5ePhvz(_x7
ztMm`lC;#&RX{ZNme(6y{o4a>R9BKG}|HqJ(XGOtlZmqbwh_C
zG~tVG>YwE|i`}ZbU)XC+&1g%k-`C1O{cWYD;?aKEVeEE;5yQ4&X~Fhq_ETp4I~EGX
zX)U%ICv4|_C5?(N#6<6VH%er1UJZDYFq&)7eqCxq?Wp(bda_!yHb)LxvuO{N?da^X
zCR6uM#bb(!l2qi6^j4P$8BIK|cr+gNxxMZg_iA?z)BfIXRmag&T=$u_jWRK3ta1jj$7n;
z8WI{zh;YC0y1pp2RtTOo9H(@s{3xn;k$%i0vhe)k+5EAXxFVEOS0)h(@E5r@=w~#_-tSu0h?rOf~a^X4<^|!h(csN2NXndkll7
zN^D4>TDUeYOJ;XL*ArMNpXJ6W#)S&uJKf-&B;}Mz{7T=+@1$2P;ZO%nb6^bISiZVKRMBe6=gB
zM?}2MzM-_ikWI_UeTa$|{?Wn}TZdDUzhv@bk0m>ygh*Pe2o&Z_!cc@JAxQi
zkLhh@`kwHHW~j
zak!a3dgG+yI_-?^w!+V0eZKK7;k@?Ku6U0c9CF4tvs#n48gFl->@*2YyYfgqzBAs<
zx5+B)DjsCL!-5ZZi9X~OG{rFZZuO7&JdUh{D~5~@N#R@c(|!SW{J3EXm5(|lJhx3?>)~0e)@SI7t9Wud-VNUN5s|ZJZ
z^v9ND`Q4p@28z-)v%lBNlLgH#{Q?@}PoJgHY4@^g&wOR1UY5Jq^F6%4Is7)QPW#U$
z;2XN3`pjRidVK~-hjTMwOENbBGSR4o~2pVNxzUY20y=2>>!qeX_fHa!@x52&i;$wJE6bn0pf2u
z4ST=8&#a327yD*NI!rFz25X6(@AA`k{7dAcva7s=jnpZB!*XKdDK=-XAL%7O#!rfg
zXZUmvf#}GhMRjV`>gJ^+1C5h&6q!C{6$GNJLQtBqSdK!Xg}rMCk)bwlXNr>g2A~ND
zo!zxjF2aN<9QaHGTr@Ag#eMAK&cT@=zQI&u*X7_7Y4?h*smuO)>*Dh!mOo$!2lAJSwwjE|(k!6S+oX6dTC@B!o**+r1xT?*+?_Akn8<9zj!=MqkA
zp*F?U!Gl^Yn;GEF|D0ZhI{vAlE?qLwA<Uw3ZumXV$j3zK9EvD*UqXH%#AKuTgV)r<%W!!q(gd`O
z9P^KepIr%6naM*#&jfi`kICyLFXjI7<)7dP<{P*`oVkgtt{>=1U!k>_thlhAMj)os
za*mep_C8y)0RYjOAP$AlTy~3jaDii}KQe558dGKLg`JEsl@~}iB>2Drm
z3Cn1jNVPyK$_#<-((G*Zx}l6zvK{1S1@(p~R|B*9S_!IY)(}-*<}KpPs{A616dB@e
z6OI78YZ)Z1*JFJA_}}c}-GMl&
z|4#iwF9I5~dAb9aMT7#&V8-;{eeJk??S8x%VwHx2{0dy5f!Y4Ba(V%7tZ_Q7pPyP?
zMGM^I17r3ck-(wBmXqeMZ9X>_&|eQF^|qWNkH`4z-8Kg1sEUJ;anHSc=5`_MMS|h<
z^^V8*A!6jN>w`4Za3!y-1z*1iJ0tX}!50fj-h46Q!IJm+tQK6UOLnZUmIL!Cjj7-=
z?RAA+e$h=MUNf02LA%q=fTw^sJ?>ac<-fY`ZP&bkh`hm_8u@n$zJ4PVZ0W+a{EPM
z)rdely5F8SjPGUoT7hl_YafFRlR}>*xhaVfA_x=Ty5Gm^>=9UWT(Siiv(HPy@B
z);E)y${&d$t|;AK*w~!0qlO%gyVShod(YQ52cP+>q)m#ufE?@njP>-Vbbdax4_f$t
zQt09};6!dk7)g!Z+CVfdW%7^c^F;nVhFRm9FTtTUpFLYQblKC=QsF!`bx1Sd`2WF<
zteZj8F_h_dg4|Z6Cks`1i!?A+{J{
zh8%Q=l{{%}zULwZX~PF41U<66U)CD{+3uR>TO})*3Xz*I7VUg6!G(!84|3)D=mI%`
zS?z7kYg6LLJHwf2Tlm*TqKpCe`HN-eSW<7Pa6tv?dx4;}6v?jT;pCTOMMW5ZU&l)-
zZSSCb8PG?YjqN@?YIY4W6!T|PjI~4FE#`Q53?mOT$s$kfUduWBR}Pu)_o(f%-YDQy
z=sfy#|H2|cOHjUewx>WZhj0e6Qu!yD;TD%imqj0Q&6y#z0tzA*`B}YS2HaNaQbi36
zI6JP8DH@;e4`1vZA7}o(V{655w^;=Hd|}O;gFs433S!I4&o9f7nsJ%;?04!z_Qe>C
z67^3usk!Y_lG2+zkzMJmwB&W$b_SHE*}Edefu_WzWHm;jRgv_Y!
z(DwR&y#UeV_Dq!vdlPw_fj{QY-3?@8?WAxn2E<5lGhEj7%1k1o-w8yu-s?(e^D>^r
z#bYC$*3Z|R32pUQesHKP#I0(vAQ;=4a`Z4{7Zz0?5cBWTRaPydkP1~Dgnz6Yg$TR57>$Mv%a2#1$h*Z>}B?g?s
z26JOyLr)!VKu1b0{dDMmi^73fgxSv5o{BukyD2##wLH5vVX*FU3}o}$hrNZ#l2hy2ys*-0B`jCYp
z%ET{G=@?7y7`*czk82d*>r08ENk7L?Xf!=8KHBboib_xN2~G|+*V%1rx2|^_R2RrJ
zj6Z!qA$aC^V9!ch9G(vGyPExSo}gToxSsZfq?O8t%8C=I^VH&WckV*(HfHb*pZ;<2
z!8{Pbj^tb~(-(+-V=YyWSkzU!bojKlgV9H(OFWa7u8Qp^NxIZnUAp3*?*AT%rTwy8
z^sd`mlQ3G7^K*4g5D!HIsZ4uh@iR$x(kZy}iSP7g+c_2FdR4|mnc`_q(iU(pNYiGt
zU`j>?b)p<*6szyLQ|7;r
ztQHIg8nG~W@5scwE*T&)ku0ydBfKz93)eR$@fiC*nyxY`uBF-H?iSqL2_7^M+%32V
zcX#*T?jGFT-GYRH5Zv9}{T=SN-dgjEfniQ}SJkdv)w^Dm+lVFU0P(3%+?5r~w}-xT
zY7rTgNDB$C2guDUmVmTLuJ*hIzl2MFg8qnFH@RX1;R?i+cKIZ|kg4oX_3dtgRJ~FlUzCWQl?PS&+f|4jR}%%c#2{cXHvvIHyb=*R?y?fF6W3r}rqY%Ef#e`t;9
zzg?w*o`qjOM&y13_^G9(u}|F>&;Sq*wa8GV$0qiBad_J#c?&4X_06d9y{+Kj;+iDv
zw3uAF^AQB}mbii8h1~8hmm?k<0kF(Zk4s17n$MreDrOyi@ZpJz}@qdtJM0LyuUvarvEaXRh@`MkCRZ9NcUyqhf
zy^~@S_hla@M!9tJYanoXar)Oef5qvphTp}waGF^K2u~3FOLs=(kM~M1ob{E~OHRTw
z1?ysRLY6Z2`O)`Z>MHFx>Nt%&kXKO=`5`m*p{KP6KuG@Ee<~}0F`KoN&03mixA?tX
z=a!U}9iA9Rdh7Ml0H|am~@2l&xnYKNYAq&TAWDt9JlH185{*h9Ex~JFhlhYb{Xio
zFGW~GMhR&yf*_@a+>$;g7W%~8q1DvbXKiCv
zIv?wVAjW>f<=QwqJ@*%gX;tm>rGH=NXhTVX?03rD_Cdt{4aF4%_dD}m7hRWT4qb0U
z`+1j3A3rHQx6vP0);N}exg##0YT_O(4X~~>SOmh-2qjd<;6RXcO7U=g3@n?sI-xB-
zH2p4hcisMM9R9S)y;Wg+wdAF*H5+yZ{ar^(*t!&lD@FfewgE{|Q-0sQE0-y}@Xm$GYbb8;|?BxtALH`Xp#`
z;2Fn%JeF-*z%K?d6&RON%a(0BqGhQEfceKVetz#_0`sg$vNKt?5+#wAOGmrV7dw}@
zVG=gfV=$xPMxtZJqDvIEbilRYFmWc|MFNxaLpT=XZ@6QbY0A?%SBKU&=26c{gnbbX
zkrMjI?BUGc{$RdrnMZAJ*eH-
zY_B{=d2`9TMXA8STv3CvkVxjgQ!CLM2|P3G
z2$K|Oi520)FMYYl%uouAAjBK~@<6}0`I^SUAGGL&#G5P%aKm$V7c@8$^1G~Fu}0k&
zvaP|g+Os(fBwGaAu~$Zqa0p@w&J^lH&2>X(dBr-w8+-ZjB=)~t9oG9kl2JJ?r<5P)
z;;bX7ZR~DR`_+li{UZ`
zgYU!ug`)%v*)mBnh%flwj%uURY?1L>V<;T^^a+pyT$m-~(i*s9>vZ}!Xl;_sn(T69qr&s?9+?@RPr>%d}DRmwo%
zA0W=gk(=9mm6tc@y2984R#I=k&O%~no7N&&=#t0Rir}AR+CUJlPuIAQ)>5V-{Lzcm
znFGrF(+5VR?uc%UGC&9dE`3+5_Q7;S4BV=Cv)tq6Xtil_evqZjb2?XGamq*5x_PS|
zZXox{E`iG5Uszdt|NZ+{33>;p4fx)@KbiZ;Sh|(RH9a{oF(`UIw`w0svtr9Yxuzmk
z+1`7_sGQzH>Z!q(RT}&ceC~9?k4{1uChP5&jXJccq>HkDn>$cRN7p3F$WT6s)J5%I
zos8}f$z~LP7=yQ!?>r2S=@LUu@fotI#s4w_pCi0ZjCjPdO1N~yosbqcMZFkd6r1?I
zL!a=LH3^|*@uMh;kO-zkekv`!%Qw~nlY_%xhnkg|=7L?W;nOAtMzVzn&J`{sjV5-P
z?NX&4BT4Z(9)$^|dDa=+ooAIPj0$d6DKb#-wv3P{{Q$|w^O-1MyN#^HB
zW`5`G%pbywEbmt=ybfDXfDBSg*QpJA4si8;Vy;RX{NY2|2vCLwRo7I{TE5(r2<=+w
zKjVXa%qd?xQ8Ysn$@&BFw8!1kR{A{0VdGNf5ojbAx=7=Ah6oBTy9lg}_MXTPVqn7y
zDTl-?dW4*REdRA7SzyX)=ac)5GVe^BOn{|IC`cX7Xh!=fSONt;AvqezXXOd+fCYFL_p~S6V}6rCeI%()B&~07hn)I
zo2aO$_f=wU*6m}77sSR+6^P*W
z+F!(ml8WGeQKypqzn5rj1XpdQ3z=IPZJ;ZvA6J;S|3@*Da1()9+S=~rhY@e3o8@c*
zqlXJyT2d{Wq-A6ff#hX>PTOu5(Apg4FcVTWHl_dqAnS+d=7)SPATU*^T=s!1lGXJ_
zyYAP<0YTQa6IL^-;Q!RjK2W!()Ljizjxh91N1?1cG^62P3(iE{jkAJc-O|#kTBMNe
zFq`##1Q}XvLFS@3Kcv
z1kk^J)MnQ0sDiKKWMu(+v)#IHGw{!@0O_l0$8ZV69@9KQakbfaIQ$=33`VOfxgG>W
zDYoaOUA!qsk(jYKa$_#MW^x$?6jEB?2(+^Eh#Aqxh?dOO6CzeY1!=j@3x^uQU+`JA
zK9_n0{wDmID8fXjF5ziX((nAsCq@BER*k9(*$Jc|tg$_U3?=aKq1uQ+&
zUcCH0KCCVTSSug?48N3jvmGy>^F;3~-_ojg@_SfuFzAPvvJ0rkpo}N5?B@^BB{P-b
zfm`Udqeqf_TT)y){6>ymwQK|C3pxg%>NDvaU;#Oj>0w=zrvHQ^k4bD4UHw|H$#Nkw4r5Bi+bOtqB{2W2p~-cx)Xu6
z29H-GL4`-cvfCN!qBgR+L|29mS&G>YE54OzQJel=`H5b_z45{-W)Ais!a3oyUWZks
z|I8#UOKR*DtI!t97vePTS)Cc2zjGT-E@s)nVgQwo>)1Zk5Lixg32CnIs57rt$cA$<
zc!^6P7Bu6Lm{!F4tN-#FZmAR$0COwa`#pIO7ZY6483_ngS#=PCh|yK@{mUuPA-?=2
z=60J8*JSXbOQOPVah|sq=(C?TFc_n>%@q<7_`^JJQ+_#Ehx^K#I5V@H{+Y2+*R@~d
zF9GmpF7r5*ZNHdM?Uqq~_#(i_hZ6OXvn82)MI$XwW-TnKg4_>nA$Lkld%ic?p;jCs
z|3B1NB#a_QX#O~A-E*y7xG}$AV7%c-tCt0RVOro1anh5eC`=;8>}YAia#SS+?WaWGT5VOLLrXz@=$RsadT$4?{uBoT(S3g@+9g9>3P;wdUx-g=pkV@JQiam7
zMEJ{}uSI>4&wPf@P|20D8#N_=(p0OfsG)l+Nbfi!iD!N-JYC*6hd+Qe6+I{NGm@$b
zqOT0Y+O9e}z+m9BmueunmCh$OQreo%deee^y1
z)Tt;qk)%JYMvN?;CFe@eLRr1h^0@^)F&>~dKGvp+;iG^kDS8G4)YC#)ClTMWDrPMA
z6suxioAmDTAcdDQTj;i@)9=zsam^6fOA3G(?4ouU)`6%v+RYxv%|>#Elk(
zja+WKpjl3bKB0B77&n!1W6|XwMIaj7M?lw~+XlhOsm`j0f+(OZ4p7Ej4ar9B(=RvO
zvoBSnIPnB1G#BPN%T2wc{Pv*nrTyYdYiZGe<-d>|b#^k7
zhgjzRC>GAw_5Jt+(&cY)v(PW|L6zx$b@@K33pODi?Eqr+tgLbS*s~?+9mo3-`QoYi~sTFJee(xQ$%9Sw>?5dHU
zh|De?ILMj#Oit=MrI$7n6-
z#%O`BYQ|RZ9enbV_RL@-f5OxeQp>Yl9j5TQs>)3&SR>%&Y1~8^(JTNQ6gjPpi
zmSsIbHU(*IPK6A!r6N%EYbqv<<`+hO!PAH2i%RUm@W0iNsK+*OYtGB-x`uTBu~{-`
zpc(YM5Du3m{w^b=$3Tu0eijtBK+>F`xc0~*utiDr_&CzQYg`;?;K8ONE7ZYUpQJMj
z7BmZHa((uYfnVt@1mT%#|4PhENM)IkOkD@seXpG@NCws@JB+m>e$UtEb1mE4@KSW@
z2#g6u3yqn55sadmn_qtGwGRdoJ8!jmvRz~R8m10Faoi;6t#g#!hi%P46VEu{Go>x5
zdpirh>w7)q627S^FbvY*mw~+jT4=EWEh?w_-^ByNtZR(#4nUZ>QAmH;u@7|AWmV!b
zx4DQ&tBI~t`dY_~H<8J|`e`?tZ#+^9>#?`?PXv5qndQRP8h?qP0v9@r8*pxXeR)EU
z!?L@y65b}*1|h~`ezY1~{1r~x`zB1?{RQE>m0gU-mO1VV9S)oppJK7Y9a}CE&=W`~
z82x&6{m<5m4|kZ~>jNkNFJ>xT2PN&gwHbGYj)GOd1B4yFCI#V3(|PZ*Z|*Lt9~S}T
zlaw9olNejgvrXnmpo{C%Q0jr3#3J4*2gL)VA>W#91#&)=#L;V~B5%Dcg)VUn3(sdu
zHl_H+E@t3;&1~xxi2|Tzd$Wt9C%piiv+th)u!qSfWc>RxmJMC*CjSXRu#w!<5-U(6
zH{@@iI#jub8W~{{|4Gd>n%JoyyL^=?dYmcmn3_*PIH%y`nLt;VyolUG4GDzgzyP
z8m9FrI?yaS)HAWFZWvF)G1Q9}(fi49>t&@%?}r>b&H)Z@`J>cI?|
zkLK+Jk9X^l5c0W2l}QS>F_*SGu4zdjy9&=HMkUEYtoB;{Nle@hm&PNn(+m<4)GvG&&{KJUb3McJ`Sf%LD0(89h8>Uleu7-eEstuL|7|&wp&LldcIZ-8_*~KcvsOO
z^j2Toxb#>P+7+76;x_?wy(H?zw>z?hd@YRs0kpQFnw;;AEzD67-u?}j
zM1+he*{f;Uf+mK6x%*P_Zj5i}KZLp$+Ycp83hiXtmo<)N>6tsB&2k{Se;0CJDol%G
z?*7TPY!Ev7QY0N?5PAYM-z~F?;z^Q9>26dgLH(x~88T3^$*xVxi
z#Z%?@S;-W)s8W_!p!A};{TJZI{xkf{WFUl8WQbg@)A&uk9Z4mKN9o4P0qy4wcvLo&
zhY{943RnB{wMf>}U+`x0x>rQ?R0$@E54S*EkdqIU%Smd{hHeQc4H20b9Vza?;|$oy
z<}w~>%JCJGZw~wJfg*AVF;C8BpKSHJs}?DU5Pz%hR`#J48Ppra#fWIrTZ`(KgM3fQ
z37C^D3tD_Tgz<=%AS@3nwll7
zUXxxB1i@W)KOe+6mHw4b0J=UcJ40}sd{zTKK~yhmlyvo#97&4Hz__qXG+ugt?WPAc
zbFQy$#{JY2hEbf@zj6&L{?@D5N2;Ib?%N7#XTYVyu
zmNVcn0J#K^nCu0EmaDR_H*5`G2}69*H>x6`p+SrUsb?q
zY2|-MjTGTSp$)kZ_*Uo7#w8Lrx@EH*U@6ITZ~woQnrpgML;I%fB+nBh>p_(fjdiU?
z2LL8KN18*I(6;D`6kC6pycyd~%&PnA+e-;vC6b+A>=<*xA_-g=Km+EmPc-*+%nkCm
zz(14t7-%4-?;a*94NJpdVnc#ZBiTn7he8`i&RoNQ6cYOUdMt)D@uas_uA3UKS_%R>
z1yCdtmg(PKW01>8FbvqueI!ma8FgRm&8#NEYJq6~D>&~uySTLTH~#8T%`PcFP^#N<
z@K^%~gnf#l?##o(#GF!g07}QQOo)(v
zprJIP&A=4QY#`>gt!C1A(9-4${D!d~s$Hw^OU%m~@O!^M5F`S4V1SoxKJ8uZ2Ijhz
z{}(Ho&pw(c%he!Z0fDQihfd&jPrnLra$fT{3T-XGcRrki#$HrxRS;I+v+pJYU1-2<
zkrqm~8C#Q7uki75x=p9^Y6O~LIUv4as~h0OML%2HII_@Q@9T*4su3Ik4WKvjTC!@$
zIwTm)1r)n=yvKi&qQGnED%|%cKX)bK02|)UQ2PNd`CV5~QvU#D1h>=DDIpUF&#}A{
z$zQ?4r3!9yg}iO;g{XsHKaD*B-&x8%wFm-vs>^{w0^~-*ln>AuER956_{cEFJ+D
znUUc)D#ZkJsEdthYTWGne=mS!=VK5(=dp6bE)F^l(C)n}U#ky%XB+8mLB(U8PsSB>ac`mJkYnSYGa`$-(&KUF!N1
z`8%d#bNzQ|piB0z5of)?-^b7xifa{Inpg^&VRU&SplcLjGzz3nm~it$t^>WLv^ZpmntRj#gD8JK(zNn9Lrw>vRh>dF
z#<*$b<{O{>Cn)8c4r5v@0HAotcs~yj3DZqrO4Ol{2xAqaHPOSt(+fu<86u%<*sVu&
z`0Qtl5u$a+Hr;#d^wRyv_rK7=f*=!)0e<0TQ^!Z(tJO2m3ahkhm7t#!&ZfgbD?fj$
zelv<|Oy%Kf
zkqp6T@tM^G7_4wL$HYlqJo#AzOWKgw8@u8j7r>&We1@A8*m>e%tn&BUXG_uRT{dkJ
z
zOevHsw&_zHSYoLdT}N83ax>3|uo_wxb0T@C!dx!Y1_ycQlgWQ`gai;5#U+24bA2n!PvGu2%6A~E+RnB?suES%GOw^VWB
z&IrdptweO;g|92TWkf4uS&aXj6b?bkUN4ZeMV5wNLy7_#H1}(
zfvZ5E)HDU!4wmaFr$46cCNo;J@fi2n3rb$!)y~qK973^QXX?3SEpb)YzY`OxvIw3wSqUDV^h5Lbn`WcVE}8aplz?
z>P!>6O?@X+Wa^bcB>sC=y-X#4d1&;lp$3ocwr3=O>1l@;+4Dpt>|f+Cxm|K?;!fJPIj&;*itvEMxVRQh;gE)Q-hODmak
zJIr?vc*VX>cd<05yx-2YyyUWU33tzj(vr75k=ve>I74HGRcSC{gpz?(eLwyU8z7(k
z#brU}LmXgG3hdyMh?QKC^5zG9ZpgB`0N3*rRXg9ii=epD6(e!$RVtskvjv^7ufOKf
zA(Ag#mIR%!bjtPmHccp%`&{!*8os=c&bz?m1u>8xjlV<1Kz&&u0a0+1vVUd&mPts`OrF{mVQ&qz40XX%AuB06vhan6>BqfK=`_Ld<
zlF$dEM+2NYtX)wF!JA*Mzag_hfvf?O!$apqB%;jz(!S?mJ&rr!5Fk<|ujZnNs(xAp
zUcVPe+ps^tM4Y=CVMH;b54LWZ7%s$b#Nuw>eh1Q(!z
z@jhrGCnEn_GMNST{mUkNPaA08fAgY6Qg`RO2(Ft*-CBIVk_9ynS0HSS5E_U79c#uN
z6Q3)+5_=jGadUljyc~;2k8^gR1{f*}RF3Gkffn&|!-|T-!Ji@1Nr;&60e6+n$afN#
zL3#xmRs_Wr7ZvQH6~LW7y{y=DM(raaIlej6AU&v}DvqjKvu9=cZ(UuN#l8PTpR
zNvy{V27XwoGDZ_m^u9lmZdSy8k7LnX`s3#cXY-=&BAEIhyP6-=99y*>!QH)xEfh|-
z0=7ps_%(rgO5}vB%^Q36*ywC!@ZWr|Ih=@hM!{b!^(w=Cg?PdHEkl;u(dmqxS#HI-
z0`*ijhR9aZF+Hz@yrljZ1*2RK9KII&g$f@dafBFdh5N?}P{SM-hbQ>sR8Uxe+71M$
zUviAk>{-<@M#xv)pvSWbAEj(Hr1FkV~MC?4(@0*m-c^-wR|F@K;A10!DL
zB}bQ0v+;rN<^{Oix&_w3??LynP&sWGyKReouS%!yo^9j%n*iz{)30w?KZX_jkOL((y`DP(mBMf@Q@cmGL_Ik7`Z^TNOJ(+MI)tiN#fHQB-2
zt_!>Hxm#TpA#^Jb<#b4TKAjk{s1T|d0$vEwq3vgz3*_qfnh@7m{m|CFet=A>f^6uo
zk0+Fefd_+Ui<$$Txz>y&Z<#3^_JOrOm4W6t_E{(9<}p<=*N1q(|r~(mEFNPtzmoi4WgS+Q;B>t`ieoQ24L`LFS%#czS=(F=^)li{n3w?tj
zW^Pbvo?iAVjfBeH#dt`WJ&*IZui`kLsTJKL33NcE3L`f%fv%`!e$ut9`rl_wk^6^J
zK|uy4Q6Z&o!|a-MvZ*Ax6vAv*ScTaHv5_N8C_(e2
zmQGPuxJ@t9=nMm;QgmxYn4@qwWI%&C29%_@>10Q@@naYI4~h2*o$ZvmHRQ!yqv0#?
zUS;9QJmgZKK~J6Z`FU#_lwnUrbCy9C=Hc=dkEP5j+~YBgncolO5o8AE`UbCQ0C7`u
zfEsfH5&GmG(kNohhDq?fB7FqB;4^N6JM8M|50iT7Z6}YH1KP{kPYxsI7~k#parTZu
zY*jEfu>N7J{n#=OPMurK>+a2Hqm0r$%V}
zJ@w+1c#dzP#?P%4@k1gu_yPXEjdoRrJzxLb@DGkwJVtA6wPucPqil~5Sd&%p-uGM0
z2-^Zlea1HM}u-=lvfsQi;U2g58v
z@C_CSK>D;BNv8hXK$!*YL2?Cxy3RmEMt
z95i7&=K6fIb0&0*ohN)HEi(<;r~pj^QQ^|To7wN(tXuJ$8vQ{N=gX~CYZ)Go+a;Ph
z0}%P(E+2LrL;+B;vWTF0jvI9ug|$Kf+LP}4vG`XGtAzkOI>)fy$gOiz%`wJ%L(>ul
zco1qC*Ab=T{L3h8BAICaq2m0kYgA~zv(e$+lFFuy;V*;mvPs0J`-NEd^W94*^|I6s
zq<~wuY>4^17r%iDCcP;>taJ(1&>n2diE5TFv1;Jo<^wrvyFE-pjPSOyEkpHtUn!a?
zkdGVHF#h?|N@u98^=A2OSfJ3oyUhh=Vr#U^3b(%LpRSLuPZom?4;G=%xN2)y?Wgc?
zyAQSQmss>NPI5ESZ@D}b(U4Hy6&zp|M+>p-=E>Dnljd}TG1N!)6U
zE7IGFF$WaP6a2T$vk^6fF9zThRjDsGgYj|*DugQT*9z!A!{F8O9|pFypIDPM
z#G=4Y`tpJ~@t4TC1^5F0pbn?
zY;8IA7NO{F?R$l_$YSkSzM|KX{ER};;6YyL4=}EwOfr&yuW+w|gF!)>3v7j3xF$q`
zxEP&C5RxkYlmuhfL*rcz?#k80kvGzg~A4n`bTM|BvXRULjk{Q$cj%`|Kjppe=
zbmI2hu=bk!Pv589g49oBF?BNyt(M3LRNifY*=fW3h-ppO{jq}I7A2mW!wU@ye$a{K
z%o&_(YaC&Y^Ejzf!_IrC+phQz
z`wwB4@7vQlTBcV~TupJBM7P!T%eJ<0yP5*@I-><#?hN#k7E;-b>2hl{s%yd;VKc5!
zy8MrbM44}*a8zK*jJj;n7#AhV`M%T@vnx)hGP;Ab##vPwpoA=;vTb8ibIVKvGX7Lk
zll4IQ`M^3TFTZI?5mq}^2-?4DeVjRPC1}tbiIKaI>@ul|JaVaJzg|!=LovyIHUVYP
zw0aSAwMRvhKRE2Ax|KeC@%(}0bNN|*+|B%BIe7E{_Zm~8m%0LYa~75YV330|wkaP_-
zhN&&aJ_j|%uHW$TBof=B2XZoFFsMUUWa1$|trJ9iLsA}cp1qoEBX(P_
z4Yoex=Jn&rH92wKvW<6J)E5^RpI!Q22~9K~*03!GA-tu5(DQ->tnWMmx1iJex)0dS
zRjV&?LmiC1uk;r-=n!%sd4l-XM=T)pySVd#Lk#&z;ZY5^o?D!7wHzrR*qU6j#_4Pv
z;*ufkC4QZ9)spFflL>wrP`u5d<$(}jR-JKmR0fVnL02NKjF7*-
z+!SuA4+N<^QWEz)35;r4Dt;k8;R@@qc?mZsYgf*yfZ=>VbbqXgHQ~yRB@~PNK}gU3
z1^&i!Ke;MtDikL;bRon>I_O+7fgG+!_)UjLpuV_PFynIq5g7an?U6V)&&L{J1Bh
zS`l&7*wEO`+Ak-&rI0(+`OG&36Lu<=rGz0RUD{K~p%BZ%
z*R5_uYq_>Fn+?kxSY04!-&+%8gK8$kcVw`p~%3qXLTrAWNJ2ov1du=
z)(pYbp7GCAQxeF3A`*(wlEH8p`rcbtOzQAz=ePh!{)0aedt8Szc_J6kIiNo5dG@*)
z!!UJ%Os0O&LE#pR$WBX`$o08;gt$DmE95@Xl(OxCrS6T6+A!U_5Dh$&_^C{3#u7I<
zS(u75T}3^{r;{I^o$)m`TGTyCFZRED2vrhHl912RiD>qGGcrVgWXd}~YN@o4o7=y#
zuVj3G`qriNY;8u=`)QjM?Z9H2s_?2R?ll=zoP|e(v7o}LRwt_#>Sv|@
zhfi8%^i>>G^!pUIG$LyM#l8QL%nrNApqtvqH-^&K-U+d_tuQyg0LDj^zZaTp=f3-0
zKxs|1Crlnd@dNu;e2ns&!!-8Wn6M4SB|s@`VaCj%i5&
zlv|
z;d4zI`ST}H#~ntWR`Bka&CSlZ+AqwOOL1;1dRW~Opb2trypPSmG~hV`
zSlC7vqColM0AekW68d%P88q1dq+iyhJ8ARJrshpsijCE4fx|@#l+gQN00`S}KU>qM
z-=jg9Tjh6$E>#*IR}8ZB>@dLw~Vd
z_jOx(05VB7kM~@ix^FLgHSj`jXe#>S#s92hWA7g!T#bI-w58UvJ1Ll5Iz+wBkZeve
zv4%RkqPW<-604R(Xle$=3iYZIKNDnhj5bxX4`|+3OBK#J8Zu*!y&p1s@Ap`_o4;iu;vOYv7E&w-p)jzIq
zv#`0JYhbG@;l{TR0T1VE|Bi>GNN@}_xrr$D7ZJoiZA^k=!Za=P7OL5q%?X*C-t+#r
z^}C+tcI@*V07U@^^$*3Z?|*A7wG{hvnC?V79>5T_Zwd!A|K}A!ABN9Zq@FV{IU&ld(Au7KJAB|=Z)ZNQ
zuC$6`>zJ`Kr0$j@T!`iBnF3HpfN2H+Kam1LsnG5r^VuYmcLh9!aYu?=t0UF8>``Mq
z>AWqTykVLER&&Nd(<~Wmb6PT$YE28#%VK&>Ox~AMMnns^uI8w-=1YKRUTAyS(aSAP
z8Q0~ccS1~43-ndnO$l+=
zE}>^-=)W9@JNNCdog)9`61fr|=;>;h)qR^N!7OJ;UN&g1)IE-qwE7=Fo}u+TGTS;H
z)uulAJ55>UgY_&!u5uNra#j2Oj^
z2AXf4U=iC4NDUL&k*U*G35J;c%YEI?!qo*4v5=Sl2`!xG
zG!8?03Ry55t=ZnLX);TjET1u852K!ARuG@u<=ONkbr~6>K3G5JvbXDn=O<0BnLoGn
z{&SsrfWNG*L7aX*X?LZeB9f=;HQV=&ov&%uuThscVHf{ERYq_?vTY3d^ud$!UOA;F
z1zIwVf0s@?0k@M7^y-D{XGAnd^_&{P{@Lni0y_2X_Gj5K6d3&+?+PD7XV%B-UB=HL
zGn!iQz$$|L^su#7xDB~`_}G;xjfx@m<0XemLqSH+9*cY=&%)mKenbA~t*8O%|9b(j
zfL@cBsjQ?DJqN5dWjvDAj&A7=+ma`r@Phn%|B=n{nLkdWAE;IOi0%0u4_3@K@mx2VGy44$ddts(v3uSoTML*Bnltw2}
zzusr4%**Do+L_fZ)~hk_$VZh$#DYYcS_E$
z(fKVn$L0CdqkE+eXuQ8zt2Wy|O@N3FeD@U**LMqUH)N3tcYpjFhh59>pIYfC-YmlfJ%j}
zXDHwxff9kK4JYE=iWli6@vKE5*HLR7{7Lfu8MpRYWS2W0pCG(L)LNwwmWDEym|f*|
z_JEvhd`=gSv!CEkNfzC{X!##CMbCwyrCrRH9lW>wP_nc9Ro$iyB_#BCQk6z+*l5r>
zk6L5t)0>!oazZO+*k*QL?CH|E-Hqbdo>3LtLQ$M)rCf
z63jypU)n9Uu!(?MvrNs&3dH4j4M0f2HBq+$B-BFx0#*&OMkHwWB5{T?wI*RQducx3
zr(5`{qQ(E7?Y7DKZz`Ln!RRyNwVBb+z6!e&FMKV}J$_5pUhjLgJNthNzvm7Z1>r8Y
z6Tx=&sokHgb9>f)tDNJWSwoxO=FI{V-q`eIJoa_$G}ezxig7*GI;JFagOXD=&+hQa
zjvbW$@R^D$uL-PEApClf;rF?_;r-hO*8PewyD(^NV>(~y^1#{~9h;cLtKfJzhAHHF
zHK7)69GE%ZVC7{DY3JO=
zoT=U0c}<{d^KGmL$T9);4@eWjgT7ZAtUn7J&g&Zh7zB{<0#l*g0xahxBLIEJh$WTPl;`H1@Z~ED3t@`*n;a$DsoSYB`oe(vz_c%r~
z8s4H{1xa=#tNCG5YeX^%8YhQ)-lKflBc!$>Mq#ax`iThSQk`PvKnAt>cdjA!pT
zGfp-Djv>+sQZJ1tuHBknBkzuFNH)A=Fj@gER^bPolT_#N?d>34NM<@kPP&)TeXemI
z?%(TFNs#{78EDc(?lQUmq;TcG>~^d4Bj53U73}*b~w-~iMn>U5^fx^a6+Lq&3f!YN)4Qr@IScF2u#seOK48?IF
z{#T%m)7FJuzxZc(8hGBv43pw3d&oWC^42!=`ZX>jMl4Z~>X4%;hYxM*4*$v;f~F-d
zP{n0s)vM3KlcL=v7C@9HOYHWAhk*h%SB!si
zp2`C~gyH%lYA1Q#p()wkEp#aY5l;EVS0mv7ihS9v=k^5To
z^R?svO6ZE11S-u4o|{b!C_i|`=nKN_o!Rt*gub@mYf{XeUT-6cO&suyj@Jla{QFYg
zUbn@TM4g)MD@$F0v8#?P01(SHJl>g~)u!d-#>r`t4+zB7#W!aLiI@t^V<
z{|pU@r>$+Mw>#g6srrlz$K2Pv27~ETs&Q?z=crUhZGk`f)%%(@u#LuIme^XNWX|52
z;qDH$y+aW@gEU;>VTVI}JKYaZvkUEhK4ql6K%9=Zlhk{|w!Lvr;w}4{dr^qW#voH_
zOOQ;Nhb1_M?tPDZ_!z0FpBwa>@Qbi#q5REgSm_^R)f%rJsAO;O``7tFb^XCVOh5Mb
zw^7-~V{=GU-a>&A_22PW58tyD^7|H{Lcfc*Hg#cw*T>ic{jLy#TzC2!?GG@qRT2jr
zVvfEoo4{DX-hcD;IowT3S<|JIVolm94;M91Zng#Oy52>h
zRjNv~xHnT)Rsa@CE^d_$xflmcXS#ToMG+85SU^h!+Hxwcq9_q!_FNNqpV^DQ!bG~k
z2|n=wm2!RBEh`FlV@0XJBWG6N^S09Zw9n6;PH&YAv$tZ`vD@14{;#&TjEk~++l2uM
z1r!lb8b!K6xhwIM;FJtmBKeB=deZ0V(+gO<1Rt=y&U9ScPi7HP0%B#zrxttmi%iie+g#knlg~
zYhz$hq-yei10spa*g__f;VNHvEl;^7;ID4f57&}~Ddu`y@^KeF!~{~0>PRWmj?YXz
z+{njVUpyLJlz)kbp~O1(>U?N^$fo$GFYca!kyV&=-J`uZ@y-WJb#p!?FHek>t;A2x
zTTMUgQ*|X2UsylcC$k=uC}+m&U>8<^r2A}k#5-=5DrB|Z5mnX3o=P!l9U2EzvNTH1
zH7jruJ{6GjT-J5>TSBhYmDG@~Iv&|K9#2$pif~R`*$Thn7rE_c_PlFllMBD_B{w4J
zB#GQVMShsL_Y8XQVu@#7h+E7XaYDZPg4|#T7*ybZNP7v;m9RY?A@l>9wsq$XO}yq7
z@qFuT4sJ$MU^DxDMxx3eM4^Ro{;+2bgQF&T^3q;%3{fHYmmnQTFFC)(S%LM(?LedCO@Yi
zS`r04FfYbQavY1uC-h28`4qjkri@7})aTnLtp1B&O)$5+Vi@yhP4Z3o>_kKobLT<3
z`-cy{@2pO^diw(W?}pHaC$vo`)z62Q~f(~0j}^A
zQfI$d!t;UFWi2g7P;HcXvG8x&%$dbVw7mS8-x+R@(cPX*t3N_JAND#`I=6RL81K!A
z@sRu!U(5_Czl#5*VMDjhc3M+%*Js!Sn`!u9&wXfuCvaP_ThkRCl|4Sep5mro<1TV>
zY~pT;J+^JC_HLi{szB)?U)@jZ4V}L%Fg$Q=?OH
z1jm|8iu3DhS=bMaP?|kSW^EUa8)y8Hw8}CBzk-xNm0ug9FZTGenU+v%uES+Kk%zZ}
z3lD^}13sYZa92+0S(x0{-HWBXz(Neai)3N0VQFn$MZ
z!aiErW}-v&D}GwIN8&tCf97x}?V~@Bi0rpG72%osnLq&%{|DagcHuB17aK?
z7ogY$T)Oiu>-&SMb3J7=;_ni;gg8~P-=y4!_{2h0K_OXr^u6M}3
zC{G1cU94E1mmT_1G;55Vm77tx{1GJIA4?NUwN1i=9qd*gY2y?oa6}q?wJJ%E|z#3e~F@
zszgnDmOfyClP?jdB&<-m>&}2DARh6_RK~HBZ*V%9-@f}e=^QirW^kAET|5O`FiBT3
zBlCv@Uox+ketgi&?!6a2kSd=xm6jG?7924)PUX_?y_Kq%!FWT_UF%g7r6EoByU4jJ
z5-htr*GTo(2gho3qECM{|IM0>N~M{!=*IQCyO*FOMA}99-{B+Q%+FiZ?l}K=L$=%w
zf+_9aI}hAkvi*uyFjez~-x$=X&ALC=r++?_dbTGZuLf#y-ft??{QP(LXXm>5oL6Md
z#G8x`-)Y$=J^gng4q0KZY`go&21!qS$t&05)~nLObUKt>`j2V$SswmZ7dsPQu>{8%
zcgUMlNggQhIm>ITq`-|(c-Vtk69-er$w|D_^CMaDE2J;rM+poqs>s_f=Y(DYnfA?e
z%rWX+{;?eQQyjNpS19PVXg=5%IYJ6YNJMf+nAo&>hXeI
z9)29kGRq|pe1>||rl}OC+xd3V*Fk{o8mWDfZtiDlm~59JJqPnOk!cQw&k~J75%ICqQhq=*^bV8>>UltDi{^`>qPn4
zgQv9T`E2s1CEcoyO$Hu|hxaHvlT;IYsAb>8kidTVE8fxU5px+u|
zXarrk-mu5fVlbvyz9!AvtTglH=qi;0na$4bIIPOy68nH0WYtT?+3k$(Q?<QuTv2y*fcxbiaI}w@#JkmhL5l$fupXmhw+^VLJ
zI+M3#=*EfgiEZ)t---jct(P_+s+k3HC^|-cJ>D+3bC)GUtu_Bbtzy^Dz5L>THC@`+
z=0`TTkU;luNl`ZpS*K|}%UG<*r1@-arlH;g4Gacvnoe>fF8sO^8fTb*SC3wr;KVa;=
zEuU`Pe|T#B)+Qs=Zrs@<$1<5t$1sh8O|1{k0gCQm9xkH--^7XzgtrIY7}V&eMtPYt
zNFlej&aD2P=1U|-ZdQ-cm9!Le8DmOWUkyf%IlSI`A053f<=aX=9Lg1{VY!;jqyw^)
zT5DGk&(8~R@o1wMwLZ^#M=u;l4;A-rT%A)$@Uur6@G8J}ur3Zf^^Fd(%AdyffSQ=_
zty&dGpem+Op|La!)Cl?+tt!AmqqBCeE-XMDg3673B62R5J#f9aMZ9m2hp*_(I*CEPO)5STm^#VmrN05wNoK<|4^3n9f_5
z)#x5WDxQZ)9~!OnD@HVGDa*KzFf
zIX-aR+=NAe8YG2g-)0{~JSW973%?aJ`{&DSR{PD~0-5N0h;u)?LCr^z?%~1}($?m|
z?4gMgkIJJ;--YBd?XaPsfT*D~Ev3hv?lk5#WP@a&QizC^Pb%DfBjBYINB#TIi<&x>
zQgiMi0fd(wsbsG60T!y7^CGQ1jW0ykNb=mJ~Cku=_H0cJFwZKNY6`p94TC_$mGwMg!tK
z9Tm$T&K=f3EMq~4DIy2Q44$J{G0dS~9-@961!|W=YBgV_aaT3T9P}k^z;(w(n3G!X
z-t^KHO?H6NJm?AXjfX$ZEiUYtbCP7pzVc=^!FFIK_)K;D$>7iDzFLf835pEvjCca8Z2IG6fQM7X2M%NJWO@UQ!uyAZC!
zt0)FgF8nGgwK1|}r}&#kqv8Pv!#3JzD3_c9#2ueDZp(czQb7>2RoXndTvIvqiMib>
zl9opkNC>OfJ@7e^J-W2z|2|(}F@0YqPx|`4OjMv*J5IZ1ySm&*d>5oWNaWDJ@FuI*
zh0Ch?;_o$QK5A=ZvV4`y2;w1Q+gXC1c4u?kVJ}0SQqS5;{$rp&`i~3^O=aW%d^J!(
zuG}MsXX)gOhHM$^d_`odIQ~)>B6@-=yQmOw{(B(1@=3fD(H|y!FrSV?%4kU-9Tp`U
zbRTuRCJY-wX(&9U!p{OUX*$}0RV17w4P)QIZBo7w7LGXJA~J3vF)CinemJ(jTM+|$
z3|D3nw_90wjwr5qc!&zZo*?)MvYmwVyi*S(zwdqT8zi^<9u!(>R!If43CHEjwtnUX
zOv#h+wWw*j^+7$73+qVN#Zlz)gNq+n76%E$-Zm~15ezjt(h0pABNkOVjQ2ui^7dYc
z^W%>NMM&OgR4~w!VpF9Bk~Dqh6aR)TDPHCIjtXYYVVl6?Fa~PDk*;M
zws05AT{sgpIui4|@&6ev^lRs@zI&9c*~u11(L}S6MbQ$nH2z
zzXI}s3XmKze*dtOPAwd-OlhN|;bKp;_SxwIbG+tyWYc8L7WFPAMU%NJp%tvBu#hI*
z{~R0;Is-4v!3QN($>q7eMmRbSB+v4@G13a1dpiGo6sH@B>R=6G)go#-*87{P2P%48
z%fq#ZwF;NkluT%8axagCJ@LLYUGv*7V#D|BK;rZ0i5A`aeDj6BUa~$Bp$K;GkGwti
zwYlTgXs}|epx=g{o`wt%?j*Z_3>3gWSc)nLckis6ycXdw@BZw0Kd{&GVDTS11&#@<
z`F&FV&Ty1zQuH3E+Dy`22iFT69gK;sSD-jY7y1~ph!0jc6z{V9$Xnn~hmW>Bntm~c
zt^4D`Ak~%RLR}Vxu9cwtuc@m-)@-7W(N}Jl@6gvlYSZ2u-Dl008}sIeS9BpD?3(Z3
zE-L77?<=jwpM(96WB{6`U^*v9+Vn%N*=+aTz(h@$S~M
z@cyfw?(0vJ(D4z}BwBO53I#OE5``tzFy`6znFcWsvb^|Bx@gBdbf3YO;3Cl(F)u%m
zGJfu0Vn6rN>r(4qD1G2G&qLum)Y%zvw?-XP1;&&2$o^L}Ad8dpf>rL|{li(?r?<-v
z8*t)=Y2X^*fU+78b51n?PjmSalAoy}+}2lV#0X64cyzMr+yV1=JudJGgc`C;hZuSn
ztR8cE5F>9s29;4RHLe@C&x$YZ%2w+uaF?3iH<^Y;V4yh_fy$6(@6Q;ZfK7`L7X&=D
z|I9jcr0Pm$m)F*Swy`*oiDbE~gi;h_8s=GS=hY!@q3kSR@d{Dx;Ry@E4YN(xwMBao<
z5I2FkhK(^Z@f7i=v1yHtbmgnO%FQf`82;@{vwd@TCd*HyCI{e9b(6T4z`jRj^rqQIHXYSEsaT$CH@aV}RC@hK+Iq-g^Zb)u9Q&8qxtLPzMDL-SmhD^69^=>a~w2oEa0l@9R+w0@dzU_W}h
z*?k&|^Tb`L)ks5~>s)yK`})~=TFbic{;}YEz|hyFYJDa6g^aR;|8q@=#?lIED+2eg
z=Fc4?daw*Sf2BRCMXk1TkjbO42;{puGq*olc1nJ?5l-UO8yndEH`4zl-MV8b3Ptn0
zKgQmJ#uml1w7=aHWyOV*w6r|$!2J=XTI^vv5WAI$zRGAE49F|4-<
z>)78Zi3t!}%o|Sj^>K7ktK!(;dR0*B9J=d7MsgrGj(CfvqDpX}1y`n|;Pd`)K=Mh2
zsnSngiNuYK)0F2_UkwS>QkT2Nm*h!JrbGEJpr}Ylgj7@kNNpBd({|LV?)gJJv-A&%
zsD~4`rhV?{ER}SvA^)6r{?etTq1wHkh>NwNf3|V?FEK}^jV`THeSTbtLZYkN-u6p^
z?4OUng}_gqlHc*ZInB?l_m7&za5pjUqhR%o-?TuMmd!VvY%YhG08UKYq_NR|(ak3~
zjk!9Slq`5pdMka>rp$gBPj1HB`b8rlwZUYNkOKxhyJ9`C)rxK9jv}J?(U=-rP2g>8
zu_u=^KMZ*jV=jH?Z@Rv+=0Q%oDyfL99!en*4J1U+>PT-}terboPkJSqnHioxZAxrf
z@JcRnl)iz=NolSL4W%DH1Kafp_n9ct!kge%O0QrmMXsk*F+EHuWLW2Zzeyf>V`4HSgf?S=uY5CbF5)23QVskD{%rn2!$h;qHy*=(oO^rBXycM`
z$;gOa*VO&7FGK%3YOB6_nf@$)`UVf6kWheRF)zMAZk3H>S0OIhb#qWWea&Rb8E6o~Uc
z3=#?wMHp&Ci<4~QoY2$ZvfpAg)XZL8s!Z|8SzKqA+mDVD%n!q
zPzAF7skZcFMJ?gB2Y<3pL6wpPP2wm_PUiX~Mo)ve&bfN0R#V5W^oU80fg$mc^rr?J
zAf!Qos85krUQJZFW=yI`__(`9s<=6s&!$I3G
z`3<_XT7n-4RjJW6WA8$PCZ>eeo~?C&$tRT^{;A+?z1ibg^>Pza6tQF#0%-@!=_6TL
zj1~z$3!UT`;fOP^Os}7UW$J$8vxPF%B2og^l!i>iT5yCWE`81)DT;+}t%o!6R8LRA
zt=?j!kk#Zed8OqBn5aMH;4fq8LwuDx-EUvY>WSh3*SvO*;`^NoPupLRs#YrrfXb!fdsvAFqpU
z6ru#WACp{ts-WWZEisWglhC2h^g5$=^a7{
zWI(k$X4r5alDqa1Xsc{|#5R0EsC3b^ulh0SIv?_1m)5EpPOL;(3uqT3@&wzO
zZBnLKEX%MPT+_;)k@cfEP}!VVi_)y{m3=YW%4SYwwPLC4)|gTj|G$+2Av5~tXDk0y
zdum4U2dIL(5_3*#LU*Scc(R%wBk$T^7w|4Yg~#Nr6{f5ebchXBwo05H5qwHUK?m2IrB`7*}e(ukQ(t5Pjk4Hw8Cg$#*+_lWwv
zMn*;Q>Zr`wG~sxZtVDuhZCPa&k^AdM{$cK>;`T`dBcyn%xJ`6E3oH&sRwH--=@a7o9MGHOL~jR9dGQv&xdqhv
zXW5G)>iJ6kbxvq$VZvt%LysVyw%c`ZMz0G3t&q^k5Hm~e`dRvxU+t)wCniIM(yoxcUm79k
z3m*EX4-l=8E=cd2#eU9rY%36&y_ym}jL!vMd6yom4j>v}6WqUUSymMR57u?7XJ4iv
zIm|WrObKs=BI(^R{;$_nq9~~`r~(Z#HIJ{H^;_npNzV8{Z<|(^eyU2U^57=4^d+Lx
zOIEf~G9;vv)~YU8f+O>;FzIOKb7{cbC}*XG$v?b7sWs9?#g$9RHEMtcnzKDbn9Mk6
zwwqayU1GKG%DV(&oxhd~8{6
ze2UHq-@7-ffDH?Y&pJ`$J
z5f8z}TZe^=rq!NCs!gdAQ$GUk2+{=^INxm+z`A5k|K#>#QpM^+eh;PAP=-o3I|H^?
z5sNJ2Gq$Pum5tJGpS5xCw_D^t+dYnIg`V(0y0*K;M;QYhF6r{yF7XT|~&k
z1$PCiGBcYCt{RgR6ZDYs8&_*RjJoX=fO9-|i_!#kRIZ+;mQIO))}DmGVcl&vuNX2ti{cqgMc9gf)myT_>&V_=mSP9K#VvLVCd2
z(5+z=Z)F79w8@AgM*BBbU1g&v>q~GNScHI>2+0h@Vjv;;M%@n;{O#V5MEvQ153Jq&
zM|grYT(q&Q7*O6BrSLe63+y*#L$A*0pFXraTKV%$$ftJgZ*sOWo$Kh$==k^+;6|B9
zWY$yH(<|=jk?s4&CFio&jpHn1p)+kOz!>WjEn;m=h#;@xo(j&ds3SKJTb+-|t+&
zz3kap(
zG}`NoXPiF`Fi}x-t1Usj_`aYdC2sDB6<7QQ>6ytq_sx%wLN?SQ>XY
z?B-hxinYqek5+pd6*zPfbKg>CuBZ7ZP8j;w`8TaJy>Z)8H*o3W;^@M5(~>Gtri+)u
zq39pQ-8T#_G$diIzMWDvo~!0AzU?da)g)UdG65d?K;`vhL-*
zQvu@y%vg#86vDpRb#vauRGU1lmyt!q#nBA|H8vAleLVA{1Are%UwqS}^$HY0%oeBL
z>{!&h17?UHBo0j~#hRtD%e=ZZ)(KfdmUU1tRPcT5QS;pI5S;VEn*x<=)9Km>
zc7ErT?nh)Kzx6nYHH?ijsS0y*B@aD)Kl^k%apW{B>OckS%d{!~`IiOdaWQ#JyTG!08(
zjMacj(q8)KckivjhQ&`LD-C7iWd=Titp8C>FC89xqR=JCZUXM0I4Xs&Y?&i2U4+em
z`Y$%8-esNqSh%;R$Ms;LT`_uWY>fVS_$lxH?ezR@Eh%j18<)-K%*;$u(*5y4`Z9se
zglrly^x*-<2_XCIb~AupP0#oDr3_fx+NyIT$5Ux&Y1sg>jfVY}E7zOTiS0x^`=Q}n
zIj|jNELSaS-)ySicVa>>7DG6?3TkUL<&s#&B6;TinfO!2e70}7G=~gtjTK)VCLn+q
zC{2f(%7?DwwCTQC6gL~v99=6#84(mBh9Xy!1Fqvb7H(GagM%;Wt2Dc?Ser7W$-St~
z^##c%!dY7iUKshRU_ECVMDS$HxTxhTj{OS8sxkc&JL9xAkX~L~)=)HYYv4Aff!KOL
z>5>m9eOY*-TUl>cjcz5&o6mIX2KrJ3w8Eb=Z;jkmVlC??=Bi{%oz{zVQ;b5hy(ukGf=&hu~6AW~;k0$N#URl_`=>AnNE}zkB3*>BUTsMyR}V9oU{0LIzff;RL~i2tnvNBB
z|5Zq&aN7-k=W}tk3kwf-5itVzGrPAwEXO*ArzDsOc$tB;gN;aYY<WS6W)qZR1#5(>x?CpUI64y+sw>t
zs>!PgfXy`P6~a^j21OaVnYfF4<{B$j$ZujE`|mld&p+N)*4EZ4?p_7iO~a>KZ}cF;
z0Ah*O9^F6TYuAP++Vyp&L3AWfVf*Mh5Dkk8f`DiDt0W^oomft@9(**E8y=J08JB@E
zpp8z}Meg`Kz^{=I9})gVRAnf%S+h*P5HP5^f6Gdc%{}=;o4zsUvp=>s+ei@lmec2K
zhh=&o`HeIXHb8zIhG=|tb~baiJyAa4;D4nD*{T+G_5Z=d$b-27p52*%{s&I5X=w#>
zy4(ze01+JkoP2LvHErzzz@2bKQ!
zFA7*}<0uK3DX072TRuE2{(o#aAPV|Fwj99n|Fz}0nD@32aB!Xg%kKV@j_|z@p9L4H
z0K|X)zw8`@L5KLXtpkhs{@cB?aR2Rp+F385$)^T9zhQvI`Df*=w++uiKLRrWtPhuH
z^DjqbHMMMmMt4Z8qQEXEfM6V_Xf|cRff0ZfOb`YprcuC^B+w!BOBC2LN!HfZR1k|a
zuRO4RpMFXc(j9v0J2V}BqAF}^(g*TJvP5qD5?DDt{H_~cs5YC9`_;t6+Mk|3e2`mF
zq2kbbQ%hw9Sc&;p)&9`sgoY&7JUl`<=^(H>H3t`I`FVV?PGW3STp3L9f%o7WFpCHD#3Lvv5
zbs7QvlNRYh)nq6E$iMK}?pGV>f4ba70go$WsIn|Mi!3?$M-AGMuuxIzc?F{0AQXIW
z7eDC}9495VLH;yA;e5{EXRh;n{p{hhCm}9}wM;gjeS$uW9?m>L50aQ6K_cW$WCykp
z?SBTq=6F%`?EdTjSQ}peHf4wv$;}Mo?f|+5vr#w+FV#WJ+2>A_yq_
z;t3;v10cZPILyM<`csSfT-HwNQ9U`5M<4UdyoBi1JLh6zVKwd^gMVhIGvrQIS!_#-
zz*Xw5yaCDj$-v$90Af#17J_ij3Msm;)9S#>L~b^frYcNAboKOrt)1)A&nK;A=#>lf
z(a1XV+5BQTP~rn3cTI?aO-<=)Xlh!6efcKfQC3t`1g~aYN~PG^-aftA_c!Vy1j29w
zSc5l?g+HGjj1CTFAS`f%l?E`m91izRh>y2~pKN~PaY$1Xxj7NukJG-A_BU)b-oWng
znj5M#>#g>?foIn)3!<~ld_mgk0w{c1eg`i%07UZpUu*Bc&`-c+qCeHH04=B%utCZY
znjM4OQ*_bs=Lq+vt1bz*?V!(ob3VICm*rfO7Xu4RB2}>XD~0d8Dvcid2z=s#!cSOW
zfS!jpJ2amr>Q9WJz0h}*FGn+y$yEh0tx)&9ng2KpW22)R
z(f-%j2&KbV-c;FJ+rcA3WODNN&A>f^o_H!KL?Wb?%Vykicd7;xmH&>OdhW81FdG4%
zV05u74ffG?p>BRw*4D#dVP;kjffnEFd|@<-uxXA5M2x_dv06zfP@pqmE;lr%w{vX^
z0x`$>{I#A9Wz*Xh65|zf0!VG|ULlV@28z>WoXNnk9gY9yWTeLD++OIQ?E$RX&c&r_
zuVI_TD=ohjUfeo-I$>1q$XgPGfwOgcwLbwUhEI!)Ze$T}vQIJPC`4SMiy88}VW+aU
z8hYhkYS^sXo5VU0$@24JDIC!)Fh5JDv3hZYFGOQqkN(iw0FF3dFnm)BWr7qh8i+aQW`oHK-L8xjPmS
zs(n3v39Dp6IEnxy3Tc$mN`{A3Cu>W=gutt|0E^r(;59r&urI^+JX%wxqqMK)5A|Ci
zursix{By_pTRws>n00d;e3warPKS{eK31SB^YjZ}*)r=?zC{>eQqkn4fq{W0b6~vb
z3EK^DVE&Y)IJD@*$h=K71MsJNcjjv!kYjE4v4sx<2^b0N*Nh
z12)M9xJnmc=zX(^YkoRYZKYNRn*|mG)#ll>LlPCjRyLTbuBq7^%#?`DiBsg?{Az^9
zk>-Ev1sPuI40l^gwqPK{?x|z~r)Q&a{-&&-cNrTp418sNJ89qJk;UI3HO{NDkYST(
zp*(Qr8Hpo7W3(VKgv@))I7ufBiF63G)>KzpZVu-*0Hck|V{gWA`q}oin!0)pwOr!H
z_3?m~msdS-VSytW@*6k>iF@_y{|0RrM(>@P^wmk=23il6p?C~j(uq~(p
z;4$np=XQrc#^zTq!LAzsYUJ3Ki%&{DRM=(BXH$w4lv?^u!N4P?F^R}wWkJOu<;?)5
z5ep2u9Ld88+)IU2ehpP~;_0N_xn@1pwP_fL3CxtcPyuhiZ$FM!X|Gnn{imOtoLoLE
z)WOdizL`%A0r0=UnYC^C*~3q-!L=~3J>wP*fTG~VS;v%rKmRrpB>5jF56?O|?f9*G
z(}crtMKcdu(}`=ETnApjT@2EeG%)@EKXz;mAbIqdrb(gl1fy||PDn`DTxbtUo%)Zb
zv??3`{A3!1Z&VOCFmL#4gn-lo)y&ecLCF`D{idH+qPzueorF^akWQ`#TTOZ%cz7-Y
zLRzsWAoAcby#@|>JQXmoOGlPFc^DLH4!6Tx35boT#mKA_
z?1t9dx$2i^FYB^)OwC7~!xi{z&(S|6rS-dndZHYF5ZBEH;0TV*2@4A&XOuK8erwjc
z8kb{JRxib^u$u#AXwe=*FV>^lI@?SxbEyf#>Qz*U00o7zC8GiV*~sxA##Vq
zrA`E<%;5-O1l)?D6j0=<(nAbF;@n3MQ>X`yo$p$~adrDcom5a(rr6opIjbnrZTJ)@
zF)d)z0T2RiJ^-22ajb5`cK|B6JdBgcqJ*86It;Hu=773#y*yKj1**NqWnB>fKtWDU
zPVaFCPpfG@%IMhGCYaz5VoAX*<-o+FkCCwiYlN`MYTS2q`@XVEys_xtsTMlyX9ZI6
z!O-_ma@Gk(Hk;Pk{A&Dm!7FXA_0Df>Vq$x%xV*n~WCXY3tQ@Z%Z0v6HhfEKq_4?6s
z&oj*@X>LJC*gW#c+tQQPqLV4GJ=g0m7e_KN0PukgK`vrR86&fobqE3=fF-+daC|&3
zoTY(of(0MbYB&ety_%rq99>b?7J3EDK%-gc`7AiM-Usa%rwF}^(8mZLw)HZlbqIdC
z?RK?W=Rq`_F6nzLefDeaSP-Ee8&1ddG}P6pdMojPXXG%~G}E09q@ZaU3RKG%*<9Co
z=(*KWM<{~O)l2{C|0$wH^q5#khnxveaxkHk164Ta_&uM&&FF-_2CRP}}@fu<<
zf%S7ED|~c#IIF8m3esa>YTi4V<*;<UW3*aFI(3z2(ObWi11@1pE5c=bg)k
z6n1Kp5)N%j?&^*-z_(pk!nYmh$b9*dH_N?
zfLEQ-ZmJrxp6=fQ-0XflKZ>W@*KY_X90>UzIHg%suyF?XN&pc|NJ^56eL}`Ry6iY;
zYxV(zOD}&$#iUwST8+>^j7k{4lnTZsGzVO7WJkx#)3`|Vw$40(nGd81#d2&TnJr(N
zO@`kBjlB6Y%((2&9!|pmI`P3zvx{mav`~vG=
zG~kAHIlijG;`5sX+Me2sA%HY`CwLJYkpvm4YB1zTGJ)FOr(-+(s16|fWKRgcI9w+B
z=KHFZBl!^1prnseon&VIT}xKCLa8yoLcER&^*
zm4x7!MBD=SF+fC^B8c9&?l+&GZ7aO0=oblcy7|=3HMq`qpUb?ly}iDyWRgP|%^)o2
zq9*Z#LbwFXP7m0sVBq#FnT~>$FFsG!n1dfyEG&hyYMPjs?7d$rsp{w7Gl_B~ARwqW
zo|j8x8UoPooQ(`DYT)mQYyy4KOtlH$E*Hr(!JS_;?*GmQ!lsC$T~G}1^(D+baa-AIRYDG~xoNhvL4o1VKnN)Rheo1V;fu@D=cJ
z;X6x1smJgI_qL{*GJJ*Cq0-x6_(I^Se)A!MFh`;PVrnq4kLqkIa?=RAn
zS5!oF&rvW(>cRJPim8y9{bPL-6K)Cit)I>fOXMDMjnff|TyezfE%UvH7f+2%Oz_&Lg(cW)
zzTCTFA!M>~-r9O5p0X0||C$URr4S~po`Q-v9r$1)5=|Ov*uS_Fae7WwIK?4y~
zeeSC_kc1+LqZ7_J5402*`n~0|`Q0{=O)$#BCTJBxEx_KBN5pW>lwf-|^qwSb9A|gU0yYJJNFCXg0
ztl|i$xIRV5J(sEHKR8FZ2KMdXZe<~yaMBG*wX?-$XF9{OF4^MB9nPo51+8x{d``~J
zCW?9=I(@qCO@H|gK0IAnSy{E;o_)Z5-j;q9Lh(>SKK6ieN$&=-`nz$ao@XVW@c8!tXX9IpUhSIDchwjCNdKD
zOP+kYX7`JtqM01;sm|dSnp;bSiS>T{%O1Dae>S1RB>rQZ3o_p9$v+ja(<
zfBH1`ey%UBiG`a=A~O;4IYaRMc%8#Ufb)lF3ZFkU-OUG+ONs8q>UZv-AfwYi_9<|F
zcKKgcF2ZC<#Djfh8vgp#?LCRO$KgSp!`QFK;!_HWikP&*R`FlHXl3=?8yOwFHTUuH
z!Ds8UM@|#j5tZeWd{ToaL5KKX$0J*%G=noI2atf3#
zvJ*Niw$stj(Q$Bd<3SXJjoPo(*lJ$Co|K(E@%v%m(QfFEFSV%#jSYPmNYxns{Ki7N
zGP=sp_?(~a>)*T?(-lYO-Bf&ANeOGpXO0BvAQEl~`TpJXP_p=I4D1twwzjruy(2@0
zkfq*TCU@)z-rwLKG
z{HD5^9KB!=)-}F6_gemrJFIa{p`#;%zR0zzmDB1I;wr)9UZ?5ldG!J#BaRv>qtnLD
zb4$ykt*nes^y<|ZQYD_kp=i0lBLv@Y-N@LOFhRYgu~A}(&2HQ!XoqorVWG}9d3OJJ
zVa=d((b{)`=FXiv2oiKKizl=Fi37r^^ZaDsy!LPp7R42w`MsU!ue|eW$2@E7XJzXp0saAAM3_d&
zdw#8J&JV=siA&1LR^0#iQ86&^nhYDm0X*%eNbT_$npBrv_+`0?4zd!H!+oy2eNxuz)epzWQG2JI#ID<+D2mm49q~x?&>n@Ha6F
zthSi^{deI6jlZ8d_(@)dw-MHDZ@a&``39GYOH1MQ?Sh}S!*g5t`S}QBNU`nhZCG`;
zwYss$Kc?&zw=vVypSQKK$e(N~ePV2pW+E*rDsuhImP~4BY+O)Mg0EUgar5R)$1~ls
zS+BP>9?J%fnn3qABipNEl#>KeiwAVut#lIM;V)xddRXLA2UYP*ml2jbbh;DA>HkT
zz8KPht~k42bw9Tn2A|Ba&gljpQStHd%{#=n-WAJ^&Id)EzJ
z*$61<##6tvj)ogttiL?HO7!Ml-^!?Mscp8HlfCC@z0-skq+5dcXuu%$F9Y1lRP
z7R@IGOv?FtVm!ld`X;~r
z6!owjn*AO(Q$8h^z~B`YzK@wEB?>?&o<-IyC;$$U4l^ACLkxuTpGS!kj$-kQ;-r8S
z2V{1L(WhH_y)lftGc&)YM&AQp8KvOs+q6U;tsc=LM3*q_S+yiGPVI@pyXn%76E+aF
zHqkIQ5PWte=Z+9~l*c+s{lqe~oOD|4cU%Rge`|0E6uX!PS-SP9+cxOJc@#`Wgv
z2Vc2Prq55OIrkT@Jkf#@MBrwK5v2L~gUVkrl>XDFPd9(X31cEbr>oZ9D_IUzt@V?t
zlX0|y@6vd0DAMK`XZ5YMJNXq%N^CA|_+5JXjXieY_TXyOyO|v{OhDtJ%D3xMx3#76*JqBWltE*nh&v?Ukc6kjA4QF0tTD=2wrZ&}rTDhhbQbtCV
zU*tPFI*LB4Z*weUy#AO*v)gOGu00WVa5xsw*WEcjMIXc7&z~;^9(fS6$e4PlH=`Jk
z_Kt6ubq|(5o%d9zAA4{jGlz?LYF=Jq1qB7+UCKptor0UHh%=FHUW~dq>J5YM{+V=S
zTP^*|kGOxPS{bc_4mr`eZRk10a?13ET3}%7lE{*bOc+PsF)W6mxLDVTQ<06#4p--X{qkGbU|Z2PGBVmGO~97M`$Q3u+R`HPXQF{D1%-kC?DPG*
zcL@?!hI1Hm9?SWAajdA5mX()75AdPQgE6X6?rhuofp7fwOGVS6kimG+ZApn
zh|*O*PU{&!SHT$W+`;vj=3cwIar;ktZp_4ZVIicThG?%)Mf&G1GVg
z=70aLpJh_lcAZK+o~PcR#ScsCvF7*=Ywxhs9cu@*${=6zQ`DYnnxV=
z*&0K6qR=7Opr}bv8t*iPTf?DCyTGBA@F7)Ku4n!}{ts+Y$rZx((bz|&;-3?zeHWSc
zT&B4VN{wmqp<{@64Cuu-hv`;#``seKc&^%hoo517W0jVl+t!uYJ`(DA0%j3i1rU@z
zcI5`uE#u|CI;p?b6F-mEofRotQfLJQL8FQ;=;$29C9kB#PoRhJyxmqS(bd94<`)-j
z0jxjbU>|;2P{8h+W7j|kX~i$~GRBb$11~-6w3?0R^HF-%#1#yzf8Z3*Li-FL#s~sE
z&*6_&as@kvMn*k!JG6xq4S%(%ne>mp#L~5Y`lKG3oMbF2Dmv3Iy^+R>$G`t~eKPLJ
zmHWM{dC=v4Ok@?77vkaR5T6dfLL^*gkb48Ulk3x4;|^79f`Wo0&sTFZDDzV~L#~Kx
zE1kCs;vndzJ4^HdrGF=-XRs|TB6ltDyLKGP{)B5(e%v2VM#GP*rCVUU8Y`t_3LUCxk>
z&9wRXJKBcUmn69|CY{@hB6mwmOC9e_zZdn!dT;aLhem4hR;N6I@S9ZL!AvWOdt^Ri
zd5@|Ed4k5wL@5PUxN)F{-)D
zuzXfgq-=Es<9bn`*((GmB;}HA^2w-~!nW<{(O#Ccw~&Ao(~<(UJ#1cGNqM=_jT@;;
zB7PB&z^U^6m_krDJX)cm$Vy}67dB>P``5O>GW|6F%
zA3967og^r_RJNZ|HN@2FmJ{gd)-tAtMIrc(%aip^*>FBJ3Hqts3eHOE~#iC{(Yp7!X+!4Lp2klsD2Y;#RjLu9x&t6np^L2
zeFJZ}x0FS(VuW;VsC{^Xi6}rTR9r^2-0@=fqXAKS*Q4IqOe{o(h0N>EcQy$iYxsHa
zTM{SYRX;3?5-2Lu5&k{L-krb_-Tp+j?YA`e9Q}NGaE14dw}-V=4&GkW1_qH)+&PVP
zI*DFbC`;!xT~5T%Dh_hz?%l0QzGPB6Nen_{fkU--bw)vw-QL{Ov+fyo(-#H|j_K~0
zcd8PGAs++wD_Z*d`)TP3lFvR7=%o(`5Qsxj<6@EvpjS}|4OLVsuu%6bktdjy@ied^
zW0KIbK`B%78J8P*;7=M{wIe_23yg*w$4{2dQ9zU<7ieZ>{d?xGcY$kxR!FmF7E+gy
zqck$afnZ9HswOb~=%i2{K{tmGfQSU5;RNxa{k`@hKG8TI&iB0JPj-oP~t>}eY!w1G0
zy`6%AZRlr!BjqXW`}!_79=}4&ySU33WetRSnnpCg>YXsiC90bCzM12|)rEVpOWuD-
z%YM4qaIGveGjq)T*gwVcl*Sa=gYR+un8?xJHKK+ILD*74nm(5>*6#+%{n$ME$7uwE
zK{`<#>d_?)>6w|I9a>4QtsE~biikCIJb@ISl9GacIANfhx5r<+Cv+FI#Y{7FnW%T#
z_6rDLh0~wQFKl8(#wurl-UNHIX|8Ydj8R=>nJui<-bA0M3H<}TZxSR?Z4D|3w?>>ziZn^PbHjC3LJ@b
zC9d(X6B0dA42}0cyz}`Psp(^xyIh3afTNHQ
zo;ZekVb@$mpWoU%OlrH`^z-=P?=MeYouO7R0Qb@j{8k?YP@A01sLsXp!)a+__#0O$kCG
z1c`}>XKN;g+w+r(j^yZvmhih`mu
zTUuH6+7GOePVAC0yK}w-4{gbOTSv$E4s|Kvf1x>2q7R{2kZUv8Y1|kYj(y-5nj5K>
z$O8G34wkx^hbsT35cE{#ROU+>hXSf*>}
zD5rxHYnFoQA<*Lp844`u!X44jS4;e~I#j3zMK;>+5esF$2)%yh(|=Nl!nJFm=uLUy
ziD}5V<{ix=YDS_k?1xh_uhvdB6;{_mj3njeCZI9=qcHYiabwsC^aYA_a#A)rNMjPh
zZxDIwq6qZm=OIIlTVo)|B53NI1o
zrOLl_p$gGHvllEN!--@bcN9BW_ihjC`#2_AkXxh`qMDWEeuL^vOueq{{LJ4s@NT?V
znLI~-Zs-d>*I`lD83kokRl-
z3MdNHbmS3NQ)#{2Ba<#;j2q*W4A~LC&FeW-CP}{w(Xu+z+2KV}*cmeG>||)5dOCPn
zTT)uu970l=Zj3zdVwG;5oS+Eh@P$@gQe$IfvRHS|gF~@wl6wz*@(flNK9W-mN?}}Z
z8l5_K()7IgI^&Gy<4Z0i^a(ZySnV?el^g`f`7#fw7F^-G&e&xs+q1ey
zc<5iZAFFfgd2KEAix)4D5UpY*s#E#L+S<{M>xIymiNLZ#5}>FXaCy^7wHEo}HRk>P
zXQ6Noy~HzWyJiRX^)BAUS(^FO&#CY}2fodWssE{V3bU$$P_M8%?91KY2*4*u5>W0q
zM6}_7bqp~t{**JKd!GeQbDDgBKou!Pv!Col2_MjX!saO*o_#Nvp2i_+aLVBOhljYW
zBPX7}vhfl31?3{Y$2D%%hQ=MMdj&;B*buP=O6(*O|40Hqkg+lcu07+TGGLd|aW*zG
z>YUr!^{^|uclpV?%6Cz_ns1bnQ1X}Me8~E5aAP2#$NBtza$h1fB%G*W{}ad|zLT&m
zpb{Eml+qS>^;eIC8S-)$zsUSuZRgbTfd4r7Y)MTX(g?*Ku&2sVfbMaEnb+i3@fk@ad!~c|E|xaFnQs6$jg8&hTDIGi7qBt_-yxZC#R$gcj`l$?PbXq
zTdy>rfuo#`rnP-#YpG5fMlSLdzpzioN{Zgq)Fl|?Qt3jA#2uhC&hI7hkSeefszHB5
z!IgS1g|6nU*Tn~uCUA6F{O~zcOgYOkf@Ny!_t$&kmtlQ0Wh=YV`?Q#UI;
zi~k}WxqE)B7ZlLV>}}JV#*2;-7sy+qcJn%v>F89?4e{PCrwRJhzQ&4(R)myq%(AjjUlME)xn{w8Bz$a5{}ivx
z!hfx<5d=qUH5KZqM+ADt!DVE@97R%{E4m2%NX&A%J@j(!$I=uJBE-vHbia0A5!9Ce
zzV_YLTsH<%BgX&B$r$}yE)Jv1@+5Kp^#YvVSfHBGeoXSo?8qc*6${G*m*hhD^x5AA
z5&Jt6a>-UW{vqS>OtG)T0z6Tpuz7f@W$ot~*HXxRMF+2Zxm{y(usI8@T|qAOE8-!n
zsy7QNocG^+i-Q#oC*u5v@!ID=I&K*}_n=La>>_dO8(M_qX5;5&{b?bGrMr
z+RS$@QXP)Y;K&FzQvJk->$w=9qLo^mkg|46(SmA)wjC*-O`Gp)D;qbjD`)EHn$NV7
zMzvG|4+pi&CyK0r_zF{5Ndi~F=JRxHyXmSn<=sv!1SublEzS$Na4EJkQW+IFwwgX>
z#!x`3bHK=El#C((ISj$n4ikP@BL9T`)fsjOwCb=C(SBjMd(Q~X?;hb0
z*@%_%YiLrhL&s6^2ct~t_hzmnyE2Eg`&SM
z*XN6yc7M-NgeDbH7fZRD==DuQ+N|r>j~VFbxJB66?TO&qjOd#N2qr+XJMEt9s1ZWS
zD5eEvVuTT;F>HxbQluWTvgXgRg5FDdNFKM!p@=in{#jms~yMSvm%
zaG-Av`rJa@O{^WQcO+24FMzgLtec06e3)>IHn=&RQ!k;Ln>H4POY$%8;kFtDV}{(Z
z_pKP6+gBT*s2YnaR7=D}3Iy&INwTBiPyseozW%*8_9=8*+3lf)7v-xH61#zReuxf9
z|Fp$nyP-C=O020h&c#B-tTw{-Rsp*`z>tP3l*
zgat7WP@FDaPNCsY_A{}z7KV*XrJi{BsH#(W79}jKTN%W1frh}dNCu#@uM7(W0fO8%
zx{NVpaN}{CgM2FM`HD&Vqxa9xBngyfuQz4)7NlhJj65P3y!Y07<0D!fCz6{QQoz?p
zk!rC?LoKJw_4f31&LzrE@g;=ek^KS_glVhaRa!waZ1Wv#>xvuB!DEW&x@y-#Tl#x@
z|1BtOAeVx_-paDDOToT2;?^r=PIHPZDMhyX27LmSlt1X%cw*miGVJ8gHDhPLP4+#m2-
z_OT^9nX>}b800vhsS-gx(LM7qFrds0KJ)zviqZFaC&t*gxa6cH^6mEa22h!_tjGox
zF?atk_)fM52csJXm(sE_N@m3+4Z7)Ng(B}>?4?1T`ZsKZCTQx0Pd$X|+(D4IPny7`
z?eHErNC*J_NkO0Z^s&HYJ;s+sM%PnNaH6=85XpzXEjC-;&nEHfh&zpsl-KNGYoyE*
z>b>oW7A-!4Y)4&(>iPQhD~_t7a_fuNuMIr#+3xGrJ{Y=T{h*+~q@qG4D9EN!{d%}1
z6&8I=$$fy}1^yvs{Jlf>H=L2sl>yLWlH4I@!OUj=l~?r2LwuX-z0m
z*?Cv)eW6D>5}2j^1S@k5Kw5?d3khA@Fgu8Pz|V(?0ITq!tBW8Z64LYbFLhz!*tWcT
zS5oDvt-y=IUWJC3ExglnbFXewf4a7BC
zPAqhTQ=`1v6qFPR9IMGJgoI*&zyqXK*kLqx5l?>!Q&)D6`jur%9Q~gwbXxB9;25gb
zZYeD#kjtx@R9=Qoy!zJrNU=QdK{W34OTVQy*F{UaEi470MC9f-H7QYof+RY{N2&G7
zBY~D{WED67bA6rO{J>UK963&-$q&2gij`4Y*w{#)7xB)6o(sx^+xXkKn!W(gt*H=6c@c{u&P}oD!&SLy}RqoLQPB>_>PYi{Qsa
zL^r=2B}b*w{;i9o<5GCrGwV8&*?z+L`pp}VuWyOa>wy-GwuS*K-wmKU5qS5~&#B{K
z=Waq?m&#<4w~kNOa=$Z4x?=|)PfU*o2#JZ&%AYRlqMuQZ^x~i*PGnt+g;nv(m%Tl9
ztx43f7%?SXK=MkRp&nln69c0}use}VMD`4cBUVW01&Q;Ed#NY_*5H#%XJ`BE4M#q(
z)pDSElOU=aw770$@=w(D
zZ|oQ5=PP*7v)wPNf?8xzS$&*i;8R{+p6X&>B*i{s6TuYGp~e~*zCYzpcJB>C`(dBU
zW+Ce-J_w&yRdgV3LsIq3?lv+pvF&_>vw3`)CF?H+qyScSUnKDE0v3(ra6o+y7cwUV
z%9i?TMhc*_L2RyEn5Fbk8l2f-I|5Z9lrh!BILvH_;3l+=Zet_JgO;?}iK`+mncJ1|Il30MVeb&2J@F{{}2^4EuGj%;pL
zknejwlq_OD6Y=iV!4pX)(pmZUdLS!D$H!AMm
z6ZGW628eF#JQi!1cwAD#14VL=QQFq8#oVKWVC0wUW-!5#{w;TE>Wy(pOtqT{Um*j0%(W
z|NCiGE0YS3zZ^%E>O#g!#@OpmpFTP3Hf?+@*7a6mU%A?gZI|(x4O-o}M7bk;LmEnqxyF2yA+fLoV#0l+}zx1XJ>VT<&9Sa
z(rLDvp-G=SW1x5tg(3QM?Ger{eoGM1k&
zY)NpjUh3v0B+8%Bvj*-`{2s`gUO7BE@Z36ZXTt9TDZS4e(ra4=+Vb?l!ka@B$M>~#9Pb+o3_
zYMaiVne^`?M>r3oEalSO^$VeREJ+QI@-`yqtU6!=CS;92mzA53kAEO~inx@OhrN(Y
z2s%At6B5!{2&DpavX<&Lz#)41jtp4Mk
z+w~J*7r_{R1?EuiDc|A~iNDTHc#|m~(@Ziwu%4}h02wNvCe9mm}larNYhVx*z*mf=5;O{vT4V9osO64V<
zp!+RXG>d}qNSTs0mVi1N{!m@tUrm>jJoezh0|1vRmUr*o1vmxWngmBUi45B*zO#}r
zKR|inY_Sr
z<@N`B0rPrdP!m7E@9G&FM?z=()Ac)HSzKV)`2gwJpC!6}%TnI~HP8(R9m
z4LTU9F~zcc{l_xG8XO)TZc9z}tZj@0cJ5qjpH94F`*EgN{uxsOD=M$~wW`Rf@ubvJyBlDmM?@+CF?xhA6Pu^{FuEw@@dq#hEf2
z8fFw>W4m@m-eEnG!~VHe$hgr{?#=8ziN9Z)=ugH!SEr}tg9i`oV}-5()n2@m-q!wB
zsCr@z%o0YKiQwaU2Qs0s-|N9#G;$oX4i1dUqhn-@YkIhdHu74YNsnlypwQ+9#730f
zHNu?nR6d5M1rjwljXoy^Gtq_FyG)3Gsr@kW9pB%LBBVpb=}wVYbR(lR8Vp%s+O$xPNv|7M9t9
zeM3nW%^Sn^X?aT)@09L~D>i#?&ugTmf`dql
z-Ni-COkaN{(&+r`)I6|7y4xUbhSn!;2){u^>v2+3rLon{OH{HLZ~0aQpH2v-f|7+y
z!t{=dyYn1$kRJh5V5^P3898NSv%KNV%luW%{FLkDWd;?;LXkN8a2_-}s#dyM(KPfL
zb}GMF(#HVW)6o;?Z%99U`QqG(k6(co+fj_sz`y{hC03TQwzRY?A0TsoJ6Uap708|5
zdl+3^c|FK0Hh07bl)g31TlnxW-OC>7(eO_~u@4}aHtOWV+$U2{_
zx+Jl-pKO0#Yl~VAJpv-ayn-^n=7MI3nK>@&gBS8-03J~qrtLwkCkM^SrznL&chb)e
z3nHWiuE5!GJv`=$_yko67%P)1=bb|+-53b;@n(BB0VrjGWP!{SCdxI>H2%-(RqIy?
zYu5qCZl2ka;1O2`R>(DdL${je#vs{s{tWqH6LOP7>BfLo6Twx6Qv_}L^_hDt4$A98
z&;i*1d7z#Dh(cOdJe$5yCxz$Z>8aP2I=w7lu2Y>@7U?T(aOC)wd*7Ez4{i`+0j@#rb0P}
z#xA$75ZG=;d}ah
zwMh+EU!uIUv=bH;13QxaXBIWLSiW8|>cjdEPWfjdw;pxaMEm8v9_P23@iG}M24}|Y
zAFuD4zPU$&E*#H*61sHhQsZ_nzuRg>1G}JL#iXrTJbmch&l$JS9UzboVBk!G4v^8g
z5hImbx6O{dK)O5ft&NHVg8Gir#>GR)wMJ6QE;S8)K4_xFEH<}JkN0gMq|sR!ZB9d>
zY6Cgs!KV-S%cs1v4KUdU@a)#WXp4YZZL}bR6lg5HJJ+7wTYE8ny|Rhc4S4%sT5SE#
zB*U&ce6#r&&rtB5kaz9WSbYaf7ZwIi*doTZr}7vbRHK)duY4EHiQc^n5OQ1WUCdS>
zc}1#pe*ekWXbCF%G!PRWT?@kn!lT5Sce-KDS6@x`B0D=KbY~wSalQ?3baWK>-JgR_
z*?(7RX0@Im+LYg^vXqRM4WK2S1GLcrAdZ5Sl?bdg{YP{Jg>+`?7_rvV!+I{vyLQDED;9so%>bW*v_lSc~
zkV~O-%xSXO$SQFRJPL?i?1LC{NsWx?-CKaKwqtH*e2)1%sSm$N0;>Pfp9w}&bAd*{
zG(cc813wSWbl~hG1{PO`>p!hCmEZ6EcJ-1}=^w5F&0?+fXr@Q=CWbe0@Jh)&qx$YC
z+1v9WpIWP6%BokNl7KuvJ%k36x5`CVGt$Z)MJ4VO-bqKVAnv<;
zN14CuhenQ=(|9=WnN|j5FVXi033gj5QWm7=rznkWa#X`8yN7FxZZaY(e^bSS7pixF
z()r2Rd$7aXIXYq^k{W((fNhWvXYNN)X64u=xZX{;M)ye-0^O|7qk;lkTj;15yUc{tm+>97|zF<=PL?r_r@*A7ZG!zqwC_TpYjMNu5J1e|gN1
zBk17_XmiW(zmn}
ztm3$8fk7CC@xrz$gSFDULB~eqdDk1c6{Bo%my9tgs@piK!+|6*F|Iih2`~xA
z>WPQCGBqYZ#llGV?qE^=!)4(Rg
zQ%j3Do~?z8ax_DO)x@)iAO$rG(?ZFty2C!0wQ{8keP~pSrib;wtlkX?5kZU#Dc*Qo
zKKbNTNxfx`C7vIz$`Lhd*D=-Vk2cMtr**2m-T2(R6G-rS1?`hxA)JH`6#Mbxk-=mwGo5jun<967H
zgm>lH7%(6|jh*tWeJq6x_gC>Qx(24Drcw>(rSpuRRV2McYo7N9a&Zvicn@}!O$}A=
z(c)S|-G$%3Z~ysTgINgokG2E{DEcTFFx`GN-saDk*1SSR|8%2P2f_$S^&^ggxCeH2
z|K_GZFJqIIemj;xLf6Y%K`Q8?&r#q^WR;C5q|D@YSas3*Kn5rWLtnN1C?684YGkun?wD-oLc803EF*;ag`?
zSJ^cs@+aQJNHu68=#h~-*5)HNoahv@RC+{(tWZyY2Sk<+2sOfpj~`WES+&BTK=)lR
z?o&zWOGeGg9ms}sDC>e~I{iQ9@k|m){1$V(H=(g=IJCHTj|=Y4tH;`$1Z?Z`b%i-=
z0hSarG^1-(&pl_|-87HB+7q=b5$bU%@G5I@QNdgoj4zyEB+6{#qd9=SY;jwlOSc!X
z@ow?CU_PsY2@{2jH^-+S`=J@a-+kF*>pQc)T1TW51j(!Oao={^_$I%SV5sVn;ZO6##60cXxLWpX|C=FlgG~ob$6K!0{F1
z>9YhhTLylD&&EM0`8FWNBAz+wEiTN@+o0`+U~LR=8)oe0^KG>n85?UjEQXZU!B{4d3@@O6iN9J
z-#lUna+v~96of=XO%-YCh5t#@?DB0_ELqPpQ`=9N>R)%H4aCP2Yvsv-An$SM|2#~%
zJ6^N+P=ZNaUEOY{DJzS<&*T`V;rNHr$QSFBqUv^nmHlHSDW=ephT0Vjd%CwcQ!X_M
zm+5ViP_R{Z#{CDp&;Y-}&fZ=T4k3D;@8H=#oNwOhX|Rf2@_j5-Z_`}BE;=r(wFsH4Avc#n)|7$c)KNH59>FgRSXqChBIaM3zi8m+KM6R0rr1H!}X}DVt&c2Uo@awk`
zu{qjZJ~)_5+!|72wH%ZxhJy$6AO>Rbuu#BDQ
zVMBiAW)N4n{1)|V{d6$HDk5s~V$%JyAe)ngj;t-PPRQUr)(RUOHEnH@d;QM<&@QB#
z%u@}mGch{1SP6%8(E6|wTB8R7NRsdPAE#FPr%vCFC~ca=*H;7Wq2^xS1+;((K9*`R
z6J|dd7U(x;U{p^P#JoRV(v_`$$B7d1V369l(jw+Dqd2>yBm;U3_LVXJbxqA0*IC8?
z-CdM6v|sH5jR7=O1o<%j>S=ohzJ2U6N0p|g=GEYJ@YU=!f;Ru@R0&tDY0zZu>vX#P
zr@%(_S
zlS1F5b}X*^%7FLccUOuNhOEONZR&4kd*_DQn4*K?dXldmm&k$_li&DNM=TBh_$d>N
zoWeLNhvKC>{Ls|@-?tn|-4$v;3~iGvN@V|SXvgzqH^-IbYdCPA0q8Q9HZi>?a-!aI
zKT*NS?838Roq|`dh`DuhM@}p$3S4&ptbIN`e#zPW-g(%|$n?&-e$(Yi7{p9gV;Kr)
z&vmW2)05(rCmnbs3jFysiJX2SA-!gQM+ul6Y*V-dlfBg6Mno~>)a{*(I5a2&c86eK{nK8VrT-QPCaL~E^%TF`J9W@wOf5Qt
z`j{iDb_|4!Otj^90emE;ph`iUSDTm)E5juT-5Jq9Iw~#SLf1M>4wNKFc)f}DUvd$}
zzdZi3=lRL>jAiiIU=D~KPd7eK2>6-xtOV(0=7)a
zSLvZ=N+2EoGw$H26j|X;dMvRQXg-Ij3K)j~R@Jwnm{70%_S04tvxm^?$=bsN@wVUX
zma{T>jC?Uc5-SrFGBfyG35IVeA^JQsULQU5n^p#Ys`W{|plk3sGtzPI&Foe;Yt)OT
zOnM4S^+zLH+!V>qy#66vKSq{0D=g;A)unF^-ui>
z7K~b>^EB3hY;m%G>}7$TrnYuhnNhjlscEZzJw{R%7&aU#sAyM8kgI;J2xgCNVRGGd
zWwW7`J(Qvvfu7Rm)g)`TFxB#dvg@+HfhgkP;X#mHZ>gl;jjr3ztPJDnd8@=-rUam-
zue<`D__ND=D%G6L*QJQa(i)7@X-izC9hI*DebLkA_zAJ>us*
z`w(SYTP&njvL-uvMDwP8?yD3=KDOsew5a8o{u(K(WsS^w=SjXQ?xnh;H#bK+uDOTJ
zwEFKCfCI}_S$QNm7>3rikABai&G2C;w$nngTl~Bj^Ph&
z=SB-@-@W_d=YY=D9zu;rrEM(8jE58so|1A7r$)*%V_r1X{g{3R)$XDu4Z&a<5NZ*q~NMuZ{$_
zt2Bj$Pyp-{ETCqEK6}Q5C_L+ny@uv}_F7&i7tZeimCyw~ZRVqu@~Zhg?H+=s&v4cx
z0tp}F)$g93bO{HA!eAr#oF0TVH9eOHjeAy8vgW2BmZpGFItVPh-Q8?G>Q7+JssLfw{$EC6ex6YM&M8yCkKlgkqr3xWHGFm3G}jmjkC#F
z`7d%Q&+b{l#IB
z7eNYb3ydDletiIzG%!DYd;Jgz`7HD{K2ScUx#M;Xg2HPW4(g)%0(>J
z0b3C;RAIeFB7c3nnq?@86cYg!63sB_#Br`*N@A?+dv88bE;6a$SE#_`cyLQtC}j+$
zbzh4uJe#EJNg+4bhTmeQH_7^aXgC0*p
zW-e!ou*tzWwxj~!%$rx0%qqV-sHCo|OGi(U{1^O4RvM4;jKHi=3X*`Qp`!|QJxU+o
zI@+#p=?)~XZ_fJ2O-w`mJ>KP+XE5SK*aTXkvDJA=BKU7H>4|wxhm5x0LpmlTj*RZ#
z|8YOBbJ}9h)7BmH57$}?iCJ0s(8lCl_bc1zPgWSS^v*#K*>u}GmHz!D=2Nf<^&~bH
zb2P)bT!m&46MR?+zxgghQ3Tc=eI)Kf2?t$i>R!bAqBp;UyJk4@2Dn9%2FcIub(`P7
z2cP)nFoUo{d8zkx6((`$xfzVehrs97K$66Oubm*vZ~<9TkaK1RfBSUGA1~wg$`J+@
zE_|v93po=_vKS7(0!IE&x6`Kb>`QP2{c}R!N#Dgtl<>z@)ulpgK#6N!s#Bvzk6_P#
zu!)?4oP0n-U*62|+SHN1%r&D^etsM|>;z6n@~P@%$-q!)*CCbHFV1kMg1EUE4Ud
z)PW;Rtl`!=G%|t`Nf`vvQIStr82vFhNXYDvP}ck1^}Ea8%NO>*4u+mq!^9N74@1yw
z@@+e>?}QF{XdCw5LRB0a1f5JwpJkZOMK{Adk<%|)pMvVI&F95Zl==T0@8Eet4?2v{
zz$XbLjh*I@x`pnNx3go64-Q_0%ZkL2hJ3h^t+YP?pAL~BzCkfGd*$>rAYCc)9Tg1@
z5IAW408pBpy&gfsWYQFR&>bXc_*|BFkK0;~@#x_%vzwto8}0n^ZNQ&h0-qf^o8*D%
zyCiJQLV4sWaOUTUt|$*;T_A8-4lLCJr^j
z2MU}!M^tp=Lm0T?9zR`Gss9hY-aDMjzyBXT&FpNFy%VC8y*HUjvJwp|duQ(*Nt8`P
z2^raYOEw{!BAd+2-}CJA``-8c&;7mrxsKyHu0!whJYVDae5~ihXXaeyubjG>ly}v-
zbTei4C7%omjh~#5IaLM}SPeXN-teq9^{Gu4s+>h?wd{L*(w!#`wEVyBczKv;`Bzm`
z^bu&w(T6Ky4h=fGCAq!`7-ZMX*Wad%c%qH@qG4pjEhe(Uq?f|G)^@KhHdKdOTlCm1
z_}JV!a0gx->JDBM{TNFjA0{mK%|(pihTTMmRQiPrBv0QQP`!SHy>`<5XoKq-UBAtU
zR@~Aqa?@xI1rk$grCD?z#v|7UHpJ!Lv`rxRzrD_Rypla%{(O$VHf(>)yQ9#ak3qsi
zAhCj_CBV4GgA8HDBAw;01KnczMb$~bQ5e~Zh}Hbb%Q(~dQpH>&8QQ&63s1T3{MsBR
zD?Xy}7n}nHe*?q@+^KNeV$G|D%$kD(mBIijviESF?=|-z_FB;dzpav_m9wnmM)&gF
zJni8>$J-farAv`Ma&IE7{mEIMOi*RY^7lNcDfUrIB)}S}=^u_WDD4U&ZHHCa@||-1
z*8+h%SG=qLIWq@m;p-lcqHlCx+zOFWCHq}i$iMvY-8)X>YByqpba{cm{%xsWO=+E^
zwzvREUFG{eKrv8x5MYc8;-5&e_%;=I!Kk+RE9qYGv&H?W&wrP-?%lhmcjwOdfr))w
z*Dr$_55eP;leN9aq^ul6IO(KTB>*)D3kwU~xbcIB9eG!|gtqfbPs!z07a?Y6wWrh9
zbk4>f8;QP&n-+HN1@Z0+gd@1i9CMR$`j5Sh-kUc~!Xu?Td+3XLqnf~7siGo$2-xgs
zo2><=m-*+yH5-ca7p`LGD8&>Tk(b&}*ZrQZuQ!=WA-y!mDdVd5Cxo<9kV|HgiooM;
zWeKaGAX!~q9YkD}tKK9C!2}O`iIvq=xo{uHt~14`&sa6DdfLx@4fV1VqCq+G+>4*WSmM21e`-mB=dZ4a!*5a*JTYMmp!7BaHJM20eKc5Wd$D&OnrvwI
zq%-yN;$OT72Hf8Dw1O-A;$ty1ZO
z<-(ZN28&UotRxeLRq(kK40)IR+*mNw@K|6e3QonQP})BG-usLp31GylSD&|ARw?zk
zBMK7VcA;#3R&614v_x{doH%I9t9S|Yrn#R!{S;+ob%7@a6w3e*da1+TY!IDQ+T8wq
zWW-`=;H>~%3_zmC}1SMmW
zvtBT1){I?%a38gY9Q)hs>_7%1qq783IXD5}%V8tGXFmnkhtn7e9i96;4-za!wk0vx
zt0{sRL|2nvGm}vSR!%oWw{-s-IYwVMgh
z3V`Ge@;R_T_a4{z0FQ*E4XW)-ZEo}$ilQPlF9BQ;4e~-}KE}Jb%=5evGrk#2niK`I~3-o0Z?!Sc>p-`a4Xu
z52{6)?`ldL8vpv>{&^ncbYzD4FWW7{4FrjT;N(CWhCbY~_nexXWJuuDz(mS!yc?yY
zrZxx6X>}gwgq3uCz0E=a-p?%jfI&E0*+a@2DCBHsCn}v+MU;M?XuS>$9CZXV=2^T8
z!^02Z8nDBg%>)oc&T@B=PbffEd-oZR*+-2Eu$iT^v6}0_%3oM`gvb~e7(^9bkn$Em
zW`L!fq`u>B1tte*sYfpoSzw+x*jozp>X69=hmPZE_G%Mr%e@J%#*qp}|MgET8vbpO
z6{lRt?;0PoiaNF}h-zY3S7%We!j2flE-!c(7rt`OMe#2~&a4kV6B768RRmzla-0;~
z=AHwSa4aFn>FH^{o7Z`K!QrN#ZhW>HM)ec40r{`5j+_YDci}m@HWFeTMtX@8z>9Y3
z;in4v{O+n8b~kK;*%WR=??+2>1ll2T7+0T`3z3kUxUMQ!JgAIi
zoSm-$+Ca+4*yFCJpM}j`6agil8}9;UgNY6e1!0UIVto0s!_ojps)Q#w2+-%md0AO`
z5(ye&*dMD;OxzrA{9?#Qge#vHp^JbgUm;Jm4@3$KkWBPjuCxpU9`{iG1wq~#$Ns_>
z+;m#5yXUC(mK>gIa&M7L?$hHU%%Olgf}{hJKb@v7xM5mjt+p^-Om>BXwBuZ`;^U*oN6O~@9p%}ia-Z5YX8JI-<-{~|`bAtA
zoaq(3|#y`qA$)<5>*9*dITqOn0DGU2Y45do@rSqK$YqMsE4$an%p;{eBz;gf4
z#_V!qsM$8v{2@ZT6JH=tG#>sD*g3R1NBNo)JsSba>>ltEdT7IOth)R%sDB{3zQ7Wh5
zt0$@4>iepy*C!?##Bq2m-^HHp@rpD4W{bH>8Z*OpNfLSBI?j7(G{+I6lFfFzQlssSRz3vC?TemC}
zUzAx0&~7#nUirLRbLi6$_U7{O
z@iCIjzX`EKR#S(-Rt-OK9P5H|Ius%bFp!$m)X!H1arsG1Q=&=b@L2Zl*WqHq8^2SqN1XVyt~2Hg(TC_ixz`^2$JxGSLYu(p7eEfC$@*_N{K3Kq2
zK}c2bwdKO8;L;mQxkScjw;89so+HTmoFOHlAvP3N8|Sy~J4l0~thD~xrFsh@@hN!Q
z!zAoCAnFKAnj{Eyr)&w-B|v;&p&q;+`9)*8ii$V@2{lXkO0W{Kojl#7C1Yuc7f7wj
z@P6@)Ie0S&Jw&P^Qw|co?zxw=Ns+B4lV>UnR4}k4UOgu?Q+
zI|4kvOB9YCTzxSuNKKX^1=$9GJO2wSA&JBbQOap#dnVB&btB^*$e&T~_R&cQA&ogm
z2&vl-4-U*g1_6L@12DsAq)*i1(aus3;FIHmUPp&eoQ+mxOsR3z(9;m(a0uYBq&4Kn
z-z>LLKs2;Y(=Q#Wfs+
z%jWWw^TqBiDrrIs9QaouDd>5hAqCs|e&x7GB{+yd?T%{;Q7_<6mV>Z7G?UD6P61+`
z3MSV#EPaH!y-o?U#T3B
zGidzE_=x*sRDz;vMZwQTW@ownZ
zz-3Z*?46&YJaXY|b5knWCYOU%Amf38j*brL+jEzzN+~ZFDT~aI@O;j9g?eL!qw}iR
z@|2H%&bvQ8AmWC2sFG!$9j{ux=4Ao2SePl`9=tZx_dbWmPD{39{T}nR-$igIqG?}J
zQc~Vwis3Wp8ve)Y!KG~>D{aW9fmcMbpFJM2{E~tdzw{)H^b|}yn+$;(Z~zv~D=;~-
zyNatbP`AZ`F!#ysS-xD>42Pg5zP34q+S}(0D~4k))$QKy@5t@OWo?Rk(Tb&!NT2Lb
zz|v@QHweayggVXd?C9R!R#UQyhgkpj>vG|)-!6Az$XrUAS|*lz6HdoW)|ByG?WyQ%
z5RVkk%hnAnBlh1Z>CLT!TLb{-`+Rt&-!`~>w`xtpwrO}ckwN&PC649e7w@MUW6SNQ
zd&Zp{dP{in(6`bLt)#rdGq~(FC{oi$FU~k1K
z6QlN6=;$w&z@)*|By0ytSaUaK7u<4?&xY*o9#v6dLPW$mKL1i?L_qo9OGd^@58yh0
zC+83umW2DVXLxFNNadX)N#-nau
zVYm6jmoK3v4Xig4i$G5}2}#K@$J%s#e>eRn-atgxITYk6!XeCWT;c!ww`E;3Yw#U7
zzYoBAfr0cmi84OJ`z6XMhliB0hva}I_CY&;WWfl9owYT&hR-#d&IeaLJUliTa9Q%9
zY$SHc;#3Ka>&ZII5VrL39&?0!2(=m`hfD+{zM%U^)ZjUOdxsg**s>LuMJ}`7@_-~uotHfG#%R;KVQap!VfA>qEclpYLe7|a
zBn=t=p4f~Q7mPcYNXNsg>}uXPx#=Yb`2_{B?J8o=2$;xHHg{_sX)@p4{lSF!>9(jh
zJ8j5PdJAN@X6ko-Ov=Q@ZAQctf~|9ei8U9uEtv(AYZIDOVMlgrxQ
zQP`b<_7azP;pcf4-BLiH+)~z5&KU8W-QlgWD&Ypn{<*yWCVaeTDC9M>>VV|_L{Rm5
z6(K0HX{NK{?4WleteqOlVUAn&BbO74s6LVWaBleI(F@@l&r=rlm1p~mW|*F?3hps^
z55CioP-c5F5sF9E{Q~)-uei*xDegvze70yOfiPbjr-%a0`?R=lT%g^Tw~tRhc)}{G
z+<5W#&{al!0fO-apN6Wg20z7`IqfrJWMhea_wgeEB<0G2umlqe3-FgwqsWpBFg!t(
zVPW$PA~`PhN}owUK|=Uew^M%Tjksg^X0@s}RhS+KdZO%nRq)DBxvtARPlqzxcDjxM
z{odd$zAr?F_MoT`_|MNy2j?8zls8W%uycnlGGidoMB*<*Ml^zZ95Cd;N
zhyz9C$+N2yZfozr|5NOY#UaC>1s@Q^Rv5`;A7eH*`g_QNlkHyrQ$|<0Eb;Yr1E&L$
zD8`>oqOpvUk>H`aE8+L+D-}eiA%GV)fFfjkQ;-CZsLue
zxw&~%p{UmmHxR~X3AS|ty}0c}1sNkF<0!bKphvUl)sDcjpbb5_o6z-uRsmnT<4dZp
z+?qE(4IMl(`7GcSczAedtR_!NO4fC{4+Sq1d32Q;Ew*V8e`qmfo$&jlPYJ+DEN{7afI>8}CRRAP@=pQ!{Pe@O-Q>g*q>cuwWn+*L
zq+!n11Vsj&3~`(S6eX`DlP-i-{`w0^l+#YlgEd{v-o_v}2SIEUXr0V|cEr2ICW~YP
za|JeEOo8FE9hdAC++Vv_ANoJMW~(d%m&i3178Y)Peq5|fy}{_I_0qsLy6Zt<%(g50
z4%WK!aMXe$S<&IMP#Ln~A~pf4%TC#ay^ii~s^PKhsc@Chz1ucFJUFbP
z`aAJ&H!C9o96@hf?w^83vBXFZp26|&pNAlr!~=Oes+iFR`UZkJWpnz?`Z8tVDxDEE
zH@8`+Dnv+^W@GEp*8xPJZv+chYb=;vbWqb9#Qe%a7!qnvfO-xK0U63U1bzCHV{CuW
zQh<5*xlaw)mF%btgP8tD3lN#Q*=US4beliS;&uURut9T;7a@XaVo6v-3DSXcppiiQ
z`}(v|zyT;F+uA08yH}^{nIJv_x%n#zJWstwH3}8n7+#mli*?=T>FB;%u&1@F1Hd{+
z!Ozcca(b1P$U9ieu<>NJKHJWEKJkqtRr&NNW*xv7os`RG3n})aTcG6&g!A1{VqA
z47YDjniN~wQxVskC$=QL@XsTp^z_kK=SZLocmEw#{Z;+_;9UvjmUeR-?k53B*miz#
zP|G#F4QVMaDY-V~wZgZz1>v{jd_`pKjRHg|$nA~?Dm%M#qO2HZ(VG?4hsXJPJY>|=
zZO$@j@<+bm-N9jDCG%Y|){Jb9-rc^ZD3XEX>hT;y;<$wJkR(XEM;&ciJAOHdqQ*oN
z(*f>5<>t)?8=K_qZ35A)llxn;rxHr?^!WSh-XN#2_e`&r&wAS~?6(21%Z=z*yoi3w
z2Nap>LrCYWNv#(Z$_#??K@cD!^k_58rzQx=?!IEztp!%BsKxLDy?fIIm(KMCLEasT
z7rA*ut6X+ig(jskq?9*Pn7hHLIQ0EHCW7nnv?xvBj=U=
z*GcJE4bVlH?@H5MzeM^Ha;iVitH+dLmgYfm8n9pKjl4V5vuKZn`|zmRYnMlSZ*$Xf
z*Y)ZvA~e6)#DoFZ)<_r(0EM&C)i1iOA0Z+c!~}@HrPle6Y&XTec{>u6PQ(nPZVDvz
zSS?jGqqX6^8jpSw9dZ@{E@_Oua~H@qH#ZynPPdu90riX~_M<`P5TZm54Hl}YX?6Ed
zK;WVu$C;XLeWib<5?q-|j(`CwXL!W(>Gbd4X(=f-Bgx_Ovr}eFYU9%wNZosTUUFL4
z*U#b&!jiCmKPjIKg|iM*!1d8DO^Gx#%e&K-*bUp)*LQPgM*+ga`ETUje?Z&uP|u{x
z(A9CP&+|y;!$&mf#1YQy2O$C96qoGR(3y|;|)#e_>wzP336joJhi5SP2>c-8ZhC5D2SJ%9x
z_$KTf6%CCqhd&HJ96=WhiUl;px(zBXK_E&|^Z3Dr-x;Bw-wzGuhrklqS_L6@KAv5o
z0*_(v;UUj;&x_sb53XJ~s?PXB@beJ_x^juX!{%nTpgs8Ypyb)DTem!;+r(r8
zH*m^afm)J9K6H~T6z6||pTBq+KY7BZnJN+hU!Mi&DG0CG+}e_bSt@nKo1Tu3~gB%PSA6{4DSN`>R7H_PU5ZQ#-
zNi;_q8mgnn@NlyfW-B4Oit6%7MEQdrYQjW694Z=zt9==hfX2KL+sE`Uze
z7PGXdsQ=^7c-Srp87~CLuGnD?Q5($wA=}Dd-`
zmIA5^0yqTnn9m0__ARK9CaQ&i=gSNdgV9?LDx=I{Ym~g7_B|q2f63bji03C$ss;ff
z!1_||5j7he-6@NLs^87KtS-J?r6tShV69;{Q4Lgl)F)}G>sP((8V}1Vs;cHd^D1L$
z$qj;zP)OW}Je^jJ*36LVKFw(V>yed|Vk53h>V&ml6=e^HQG)^X(Z5ii^fiSxT%r2u>?Cu3X&b0os`BP1h4wc(Pw-f<^m)&9?o<8*+FJIRdWHXwdG=EXka*C*u{qj>wph0$~6PTQKSX)L|8RuQ3C1=qmW?ORpe|G>^DH%C=Ab5_-yEZQ02H4gE(5|haTUxV?=a^bhjW49J
zzHp0F!GonYB9|aBR{;Y)8os+f>4I%$q~U)GEa9pL#2?&S(?Mw&-Pk`}{P3xQ0rWqad&8*7IM
zi_1EAh{F|Y9$LjfaMYb1Z)?4H`7*L>+_T>I1RXeY*9X1K(PRZQ?e0c&%0QCXYpDxV`z1M1qiV6y5b1e}P$`2$DUsx$m{Lsj!GNry)
zX&eg@IWTPHj9Io+9x4&NI0){)9W58|@#i>c>4?jq8D!U@p$eX{U!^Dsa3Ff&3>G+~
zEW&IKo1AbJnA)3a_a3}<>r10X3oz#>NRuu6jep4_Iruv(%dL`>;#*ivJv`Tx)X0uo{7<^80dCgBeAdop|v@ge6p
z2=M2*xj6yfV-KKO<-Z3c6jf9t$NYK(ckK=Py*N0>V3#8eorY8#GEXv{M)7W7RKaEk
z46du-Et%LKXT@+n<2vsP{}d0{RU#J283%X1Qpg=Nn_w*S4-tC2BD%wvO7Ku#(%VT(
zzHnqd@s25afWu$zaCafO!p$A7AE1Wk?v8NC;Il9^PM%6BG>uQEy&eiboby903`gCe
zi!C#FJRPr%Iiy)?$OjgGV#MIHnQYS33S9lG72pB-_3Ibv0s;7R6U+>am1$l#Ae#cs
zyol-rS1p<@Y!bQg2r|(cAQy`OIVjN&v8sJKwsZ1Ug@QI1@a#?QnrQIi!{Ym%ZTc=>
zkjSEZpEGy`?xzRsOIflGsgdo$q{IjU--(3741r976AJbpwgF@pcF0zx^
zqfOqLU_d}n#}vfPXB)b%WjbdhL&!W(BZ->Nr`mWpTuu`T;6ZFfuWNDP9ICqr+l-do
z^vJk=-Q3O9RZ&SvshV(u9%JL*qobw)xZ_uEbdt@5PI`StDhC2)mtm*{WOT^Znm#M}
zh)WdryXC(6^`HdO^uG*0y(G~g9KbC18aE>}Pr2BUkM?Q>ZEElLl1M|l
ztT=T-Y}R(h=-085$613*2omI7%TXD3*>ai@`?T(vPmN_i>(2UQN_)6%*a-IT^U}xu
z@Tuf-`dto^!EZDNgu8<<$oUItOs;@4{%S+VR
z*$MZ#5>(|W_)r&A+_1S0ki-uO)b&v2gDQ54CY+FJ_3s1vFae%r#y#
z`W*^{LVWF_ZsIo&C)PIhZ*8-gV+py(?HLHk>i(%C$&@GJFAzCvxfMRODOkgw3S$x)
zz-<=*uMY6HkY%@^9-o0?kl(ni&NDBHFG+}D1<=EUAEjNVYUQ$t07k7^Z8k^+)C0n}sT3kh0WPsX(KPQTi
z|C=v){JmqEy7!ux2+Sv=0E3nptTG3u=XOqE@U(P^YOS%CFnBawPAQD$AqeouYnxVe
zf5r2dmbGr|o0O)ORy#DOp3xn99)C5oO-!B$>U5_|UWC0J`b=x(!d_{q5E}P~)>G)%
zB~bKYAz-Q1L6!c%KD#}uzCQ8uF+2)r5Ho*=MlHjWVj$i=AxR>?M+%v0YHGCa-Fues
zg(sI7H|#KzMQ``SB6IssU~wHIV8(KgeTIqEdP`Wx))~txt#XeGIp$#3em<@qzScJ(
zD;5c+kmkk$^=M7a3X%CUbUR>@Fd}A#s`nsn3XCTnPt{j~=wue9tS-9aO`Y|Dt)$+^~X#h|JwYqIzd_f#xWyhRv
zL5q8|H<^3c`Hl+mte;dcvogqq5}qT)zq+A3G``c}*Xgq5@iVuy{Q)cx15G%7|2zYR
z#a*0&(F5$9oO5vh6?s5aNiyxT&#+#ztr;8~-0;iGnKVWz2#`mMf7vilk!C`DRd%F4
z)(3>(D0@3o;&p(-P*Pz`
z=gR8Ct1l)6abNo*3UBm}qy(BB|vt<
zlzuHLCZ-j%ZsMEe^X&j%;KFSfdVf>-HgPl&R;A3klgL$9OIo2*42S$r4dB1i0Rk1k
zn@xt78hDO&%w_Hn(d;H6*7vMkCENhrE%5q=ZY^Oe*Ry`ONE&vGLr8Wq*6#2j7geXA
z-8(pm0AA><`YN?F3UQeq!<_-+K
zXj$lfx2~%kOD_us-}lon7B7t98IyEfmtbX8l{pkQX=0pE?GCm(#K8aBJsK1gBnbB9
zD5~7pM}Xvabag@GeqruA?A#c=^K{=hW%f6wp8@KCCw5^(0UG4!`W0EHgw
z*TJ;K@NimmeaO8Zlzl&lfk-I4AQG&ooNf9xhBtOX=(To;Z$=B~9xm|1(*Okr0Af%l
zUwRQ<%y)192?!Q|;}ixkqR__Y>GS_-*if*AUd$!86*t*LRR3GWb-z}p!Jr9d^j*Az
zaug*RknCECnMdz$#{mxBx3bH(j>);#4jT(Fw~~3Q!FO4}>)mP}85%+p9#`ifCvE6a
z5!pDMs1v*R)E(29p8Oz={C;eloJ%cwM_(Y}C5hhz0NnA+O4(z;?7wm{<9a<6JEqoS
zC4w>_c7{`aqP2`cpHsOrSSU5)gnh^E-9>dc5KwI%NS%)~Hx!&G%|-XS-xeYUEfx#w
z>pcbBk`6Qe-LX{SUCyQw!jj<;20ebPsNwcuyQ5U8rTQliRsSi#=WG}MfEWn5IqAynUDk31^2V7XGD%hiBgo^sBZ_+8`$|C*4fOpqr&b)e@9-#Z71&m)HStD_GcL!aoF(A@t6t;fe
z7Y`;sKR-|%L{zEd(ZW>DIUr0Bf5~5o;n76)N5}xn^@yOpl|=@`9}w5bY!YttflN%g
zW3f!$4o3%!p6_OO!&ZT>EhwzezxO+$Wcw^&bE7WwOy^e93P3%Ia8R0hEphDpW=a3i
zB`3N6|J&7-8x(icICW1?*ALTv(=Y|7$g;$uwI`Jp7oquqc|}Z4@~qnEf5$NWsh^%GjSdt1_VPX<>WLq9XB0DVA-9Eeb~6N6qH0G#k$6oPB_q(+U)k!vt?Dv
zPE;@{wNzn7Z3Zon3^3YZ>aFHALK(xIdWZ+gH!`SX9w@PaCFS45Bxt{sLErb6r2kQ{
z$9js52^Ne$6Gcsxz$60ug*Gi!Z|_E_y~XTv_A5+T;4JG4Mhi;ant}#EOrt>W6XOpULb?*+HT!(>y4X}bkQA83g&EWzv
zlGqrxp8Gaj?{~)E&hvn%`SW&Jid=vc<4}&wCy&~bwe|H_^k@K0u&D3J?w#Y~?Oqh#
z?8%U}cf86&NwBjravp@%O(4WZ+i?$19TQyT{`Xo;U=TZp^4$};ZLPT14|V4$QgUOo
z6ddkeLS_Ka{Jm)+k(E;^TT>CkLNv##s_dZvT?}D4TPeF;L&t+$+E)Y`+5*{9N7$Mg
z)*wrog=w?spw6-U9CPLu&eNb{1?ET@LO+2`2Z2#VI%vg?{`I7;tYK>u_l4a!4;R;Hjc18sw;rO+llbI@3qN@6fMG*rYA;?4Ew8j>
zLTCKXn_{Wu?z^n;+>RyuL^?e^9rYACK>buS4XYCB2!J@@FGwgU+s?*{uQvb`M}mx+
z=ttD0&)xNGc>m)78~dz^5P?`1j@Q_^7ht0`*YtCeReP=q6)G=a|v7aV5I&u&o
zuqg*JL;soZ*|C_Y=v{U}biY7i!1rZm0Orw&dfOf>vo~a&th4s4?_40ljq+6d7+m9H
z%)Kam5BEGHQA25KHHe4+j%E;xy-$k@+zMM=5YjbOIO!;CF<*qM13(YN
zLl`W|9EHK?i7Ky_BaywASh8`QI>O8({{duZA}0Wt-pYz9c`%u7bnC)xNmPpWrVZ3f
z9X9@D3L8ry&d!TD(_t&9yyE{3%(qk#aLE+d)RVwv%LO7s4RfK@Xs6OE6dY2g9Kn~t7m|Kk&P^=
z3d3>r0LVEBrGZ-bSU0Dprfj!k@~nvqJ}d=cEtv|rtI)W=eOaBbL!OC%yQDdUD_!nZ
zoYn4q@RplCUArEo5O07#J5dkSA2Lx)&;`Kkq`9H7@x)va6h^)uby-5-JZn-~aS4FR997B%5lLM*%CF^HprA>m<%1~iTRAnrXl
z6(^jHIv;3^`l0+$wh?XjAdi7}-I$0$j1r9&f)k3N&a!9-4W35hXMqQDOS)|?TaU-h
zp%>O+x_q>Y#g-)hNT_%*%3wvje}b6=h2jz~-$9V-uRNQ6@v}hQxAgQc#=d?{hwA%?
zn!z5Dz;|izHALQ_s|DaZn2LpNIL@2N{($|ue>_bZ1%wK_FK+0;U3kPnOoI0R6&LgL;;0*C?Rd23436
z%+rOBAEp>Z{bh_>aTQSLw?o(;IDRlnIxfYxkG2Czh{JRFGKy$a9ZeMGL7qYm@i#YE$zHt06jvHG?UMSc%9ly
z5l&f?lZTKz3o1w!{1Rr#e!u4_t$T})ugaro(=hOFxvtdjNY{upxAQWMN1TJLr
zma3>O$eHQmMRE_@8@97QJe>q}P=xQv;TC=T6Ih871R+h!v2l>$)t)IE+z1gE@tBz`!U!dh{rz@Vfi{jsLte?;vxVhK2^N
zS2RYf0^oQQxqGXgtl>Yq2N?Fwz5HVFcaRjq93=@uhlv
z{`ItD3!cy^jxYaR1bPi76*IH3VWH$c=udgmArJRF=$>r1E%3=M3LdX-5d43EQXJTb
z>qA=$!JAN__03v94FkOE=p1@L2lAIRO`bBYum9lldj|n0dY3|9PI%wSuEyiU_^A5<
zjpEwdg2@-cXx?Hue7YkI?~@Aeo2wu-^d9`$
z+?1Ppdkf-3O)R06IY4}((Wv167QEjS>_(9Z{Tqrq0-Yyd(MGg)1UDiOix$!Q}j?`}MC)lZ3xw`#wHCTd*kRAV&a&
znNV{Q04>1Gp$Xtnnb3+jn5DS({;$I8ZgOhq&OTL~eOIztq+^#Ssz0g@yiW_}D45y|
z<43yiW4UpmBJZ
z3gu(LD42PTZcAM?q`B~z9Mjdqo;EFwWyCrjX2M(3Xe%o?2MK^0!F7qo9cVbHse+-u
z&(Y6oK1V}P#9dZM%(iOkRm-@$J2YIUe17)RGEMVDk=>*isL3R@S}4|hJp>A+u*|k*
zd%yi>c4`9OI=TtavE*(McRMU`e&@e_x~E`rlh^xCFUnuTqzEOzF{kgl;%6-SIyeY`
ziqX4kxuoa+6^*CbN$N-QQe?isNW_FyT>et@Zza&$kim<3(bCol(Ud6Uou7D-_e)zX
zh)fhGaa~EL$_$nctUNq|B{{YQMD}>?ts)3la;pK~Uv;aZtvxVzs|U)TbfL>q2#qOSZN2?S=R&OB$e-i#V$(Zkk}ZEY*kh&K0XRp;
zzZ;ZVk{O$f*E1L9=RaH_2@MJPa_|~RY8YI~BxPGI!w~+9K-KGdGms-temkDXzz)VhAL`ma&R|?#lnOHOyuC`sQfUCi@l{3M$xuLmEjLH
z!vD{W_ZR=Bunj>~KkfTZpQ77UY@6eIeawv}bR}`s{M7;}d;Q>G0S*aGas``JQ}M&D
zPlmOga5Vnj^@5hXc!W?_+tjotHpmz*N4LN+O#5|xyi9p6-u+m{{lJ%a8OHqWkWR4$
zr!y8(Mw1BIa+UNPC+`K#O~hg0+l2|ZezVW`KT1Ben(FlpG3!BoPBdgb}t
z%us}vVsL3o{9-IB0)Q(AZtB%dK@emhKaTt679M?k@^;vIoHr3TFwh~aQfF*~D*;+3
zG5VyqhHBO~9ZMtNSv#hHza
zhOYs*#0aAiu|c4DS3lx?_L0n3CmlzNuEoZb|4m$hXzsGlui%og)6~>N;~^o5`x#_(
z(HH8>t~n=t7I=43y%${CsgXCzEa86-@P3p^JF+Lm$F!&r0rM;~GC
zG@qBY-KvC(OVsv6+c^SNHd)CQR2TgLC*tHsZ0>uL#zu3wi&90B>-6t)_*I@Wf7z}F
zxCgSi&mpN0ds-l~
z8{p7)16rG@{OAyZhRQs69f?3fO$(lE1bW2g#;*wR9L6RM;D?fLoy$3Zo>pqT#x
zjyZ#Js(9V;A9XO~p-Dit<&MqW-|`eITaWD@O<}J8{5iBhT?r6uS(RE#S63H{{bz9R
z!M;KK^HR&|ohxZfEZS?mc8izK?r;%she`ut?P
zjK5wBWNgHK4~Ek5MsS+q;0B|fQn9v)%_=>@rq%aj_^D2XIU?2&T*)(AIb#(tqb@y&qR7Je@^$?q|4j*xz?E@Q3X@
zdum!M;LiczgNq!)8dg$Jz(#I8(L^A8%JNIy`^rX*r!g!rurdn5hsq9XDotOq&2sJ<
zf5582=?w%DAH3yH3Rvx8zFc2iZT$B-dQ$oF4KWg}nD^utrI(^#zrI+l{d9mpTb1-C
zRQzbXL>BmtO(N?6-2v3#{qP7H^5Frou2q*M%q?KrC^|2s=*jpE+6%bSFZE`&!UgJ@
zoh&t2YDc$#3HVFc(q?HF2ZTW=OuWg27!0tg_R(G7J-l{)gCs`T?+VcGY$P2zizMs%
zyRlLmK(&LU+VYDbB@In^Md0AXtiIZA?Y9b5$&VObLAq}PA<`PT-vQVfZ7UZ}n(LFpe>3g(>LPDs>
zI%?gwWy`@Pf0dg*EM82=ErL@dnSq9y`VZtXz=6U52g-rp*~S?Q%nU*LECpu9q~gtIx7R-!Z#gxMNJ-9tS9NJDdT&`G-IE|*zVfZ0^t9xU96KT|M9_@DddR?L+T
zMJoPZLrM(e?ID<8bPG5qF%vJ@T>7;MuDwPL{~KSNEh56trJcRWLEE9g<9nJAd9+b~
zhUQtq>&StMjHsDeK!7wWD=YAWph8toO?LsHfr=V*sk!;ey61naTl3{VJ0Gpa@l%We
zfZx9)?F;DJNAVBf&CpvH67qENhVM6S8P`Y)G1g8PkNaWC*|COJHm4?AUzT+R&5s3G
z^3gXWCntvvY-k!Ay8zjvXcYX8mn2*TWZx?9a#DdR_o1ZbX=f~S!JQWDdn}>O83w)o
zNu24$&Qza%W0=8cP*=SUX9lF5UenUj+S!=SSau9IhSLE=wdaw8tT)l*nIx|I@fV2qI3ZSqIXk0p!eA;85S_9`FZ=UvfU~9)PnsXHOGJr=7
z(v@-07)Y=cLYQ9X++U!c%(muQB^29HIp$q3o*@p_w!w=b+sI94J9Bf^Ub3-gqrE-@
zSM7vtzJR|;4Vc(B*8v1u9Zj%{Rl_{FLNOJ?ApUY~pyK@}^4*c@Qt}m{{okFjaMpN6
z2gemGjg@erJe9vcg2<>Q;A$Du&{t-af4>C8
zfGm(U3L4RX?;U3DRvesRs`gLQ^DUq5n6-nZh5Gs&o}&=l8ff*75;~x>p8IGR^f-2L
zZZd0Y^Bo}-D+_>4=u!fAW9rWXA_D@wsIb^D37T20%
zLDA_E{l?i6IAeTbVl=Spv&WV>sM9Hha*H+(F4Rb}$MWmr0qiahX01{j#;diAri(oo
z0>i5GLYAbxWUh>9M{gu2ur0CH1SqIb-2+-ptu82JTzZo^PLT<>&7&)Fl?fF4N8f*c
zRZu=i0{Il22GA9<+#B{MB#sH++nEvP4STcw$GjaV6+nJOg@ohE6ciL@&~YAcYofUp
z@2wl=C_D|sMM!#_47)iVqO^>FLs>nKRgeGU*@qpjhR8c-#U=l4rr#4>YehHx;Zzhv
zwI_j!K?+r(Jor2HH?d{;li2w9Vti_HlCAF;b~P+n8r-?lZowWrst?V;X9y%05l?x|
z%mAgx+rh{8GoxHdM+#!-3@;GH!0tDDY{jvlxS#dJTEDM)iu<5v&6djro-Q^#DykVu$W2Iv
z1_79bpW=1>jN0(lBA-idS#&JZOUCKT)fj_kP
zMc4nm>@S9HH^slc$%0o6z(U%gRD5hhgA4>Sqpd#Fc_jMZ&2DBgP2U%#XM5j#rMx7q
zuYW>Dj0dD6QPg}*@WDYdTt=11($|V}jjj2BBxchecm=YF^DQqBoQcRNB-w2S=%+3E
z7}tMq76#|R*_{k$w{4>_zbs2a|Ca!TzCU8D+|cVjXqSH3cf-Smw$T1OF7Jjl87n6+
z$&{{t!j@ih?*4b>TQIFj{{i(7zZ13}pQ
zO&%uJw9UtfbnSn@B_XT6Tk?nnWUdG_l0`cYq`szD{kq2T##Prob;0;ncWh8#pht8t
z>CyI|KbT1FF79s*-*pN(-dA`0c`T2rAGkav?u&&)u_jdi4Epz3z{>%ThoOgZ&;_Dv
zV{_A?PM+QE>is5cRN{m9XGC^wIe6gpl8Msxw5Ht*P7v)T4hE3L0**yAodg1>v~z}M
zGq|>kd@Utho!O}^*W+&BJa!Kra%TQoCFZuevC(V6J_#};tNHI3`6EmH&9Bs?RPf=P
zki)!tG;Hi*tg
zauQS~_d7(4yepUv=ovs8bsYqd9!qbN(7G`P)Eb^2aciDtkrE!=V)2%9J|{SPD)r)+
zps&i%ZFP}r>QRErI>ihm8zQ-bOK?MyfetQKfJ^4m$t8wBHUEWQzwW~Tm2x4wrO9ex
zfXU#h8`}VHAt9_|5w}%ZfFG*F^>oPQCePq-K8EmZ3}ls;uf66so-dXYvy*1LI|!5W
zPW?j4T+!?xHUOUPP8-|B#5eIVm8AUNX!?0y39YnvpjCrO&o^|
zPFzxgA9xMojoge2--~7H%0NlQz5Up98M(p`IL4H#pC<@Kp<6cG%+1j3W{s?%LJ0u;
zP{}4>)L_wpP!|_5fJmWi4Cw7+FqM}NnyG`3o$j{syi#(d2tR`*B1PwG;`%&^`X@(u
z!`6&vxG&+bWw;JvA6R@rJ~hkVaP+h#wL7ybgB)O%afwAtOG;LS-lSz9dmA=)+EH*+
zHBMdZ>%2%t_?Xx1J|S%g
zAdFW%4#3aHfA{NmESyv6c#R0211bglgQl
z?|}VEB(NiT-YG4_v;CLXqhxoz*gHyvB>YK^HIa3(=@=W~*-kT=+0M1Gxx90qFXeQw
zuEb#%yNjhwRj-_|y~z!=O>=Q~z2hUj=+Sd!(&To%LRHnuhsAw~v%(i!MeoN#^S`(f
z^hUmDa6Z@h>L#bvr(Z;U>_&t{Yio!<*d*lMH$8In-bgUEB-X~28IIlXTRy+wXRSQp
zy&?*;+Jy>obARvd0v#6Lb`NCwdJ76)UthO*xzl=_aLCy`vbuaZXOcgrq?o+^l%vT+{4&3$_&yXX)2h8bp$!DR1U>9t2UA?4p2$!S
zlDoWhqIJ^99pnc29(q%`Z{LewPy1=LYHeI6?>}svC{?j4CB1ij+-oe*zi+)@YjlRk
zSVCCa4^1}xm(nA0j3IG0c`4+vLQxw$W+zrA39+zTk?)C?l?3D~;5;Umgh!lsYciuc
zd2q^=oeuww3mi!Uqx@ZFE1E|kzr+y-7$TzdQ1gw%->U~tb~PsJVa`)G&6%e40rO&I
zz@a=T_5`TVbtmi3#HYgx4GpQ%sanZ<8Q8h(gXj7z8Dw&5sV*qj;q>XS8RuhY*X^tF
zzrp3cCUg54yiq3pz>&xbe1CozL_=pkR{VBkq#jfeCU)w}SD*Y4vbt~_d-#YyXamdH
zg3Uh`0Y6m`WqNnR)`ZMSB502?AV+(kx7Wv=PBvX$C}@%7`8B#2-5YWGLCk+M?1CJ!
z=GWk2lBbjZfIof2-cFbKqiJ6{M4puPVCXgctKbl(yHc}>=^vZWi~9Z6Y#`V=Gy`S~
zA^vBFg=e~J47SUbbAx03W9$3#T`#9LepRm
zN_Wb14G#~yOiQ@84#s+YLs0`UviUW_@4lVsjcA@#?@zZS+_mq$eg8hEsEBOJjI=-o
zxm5ha-kK9Th}(196)zxmrWdeX9X-7_o1buFH++@}6FRYT`tdS)+ljQPW{)yhv#udu
zsmy<{gqz!**>iDlG}44%4hf!K*LzzeSa&Vk(9rPTkIv?19e)wbH&__RAGoxfS0@>}
z-#Z*8pZ=7#
zu#uJ9UUWX>M7WMXlK&U0dhTnNgZ%$t?@hyM3j4R=)u4f*T~VTGR}@KY;y-!|&(&+c)&=-3y<)cs6li9Mmn?=>j0ICoZ*aV+
zhHX|*kSMHa87vXK5cv1oMt2nCdc-7f>Pt8=#xUM~?2dc8vS2m=G4;VjXa
zKgliSz2p8M>AvcAp(<1bq${k|?AuyBHpkc62!ssThJi4zchDD!fs^ur7CFWzyiFdy
z*!R8q-8(u!9z=XqNBO7RF|*u{Pr`j-Lf&A!xX*bFeP~y5U3=?XUu$CAyyrvz(aV8~
z072>rDWB)v7*Hqr?ZWe0esKhn;o$&wjldtK*24Ro_FeAWDQp5?UA;D)^_I_Bz0m;4
zRF_O8WxvhKN{Sv5aohNvHZSwOQXAx?qXElcjW-Y*=8rZ!IaFfckkjtlzZkCD$ugV
z2X<9O^(Lhi+C3>?bN_zkYFXAb+2`Y_89$l!MKx3qDT}csL!37eZ#hy9IdiH?kz6V5
znCRe~oCk&ydJSbEZo`*d?kfPqc*S}bzt6)xcm2e7sW`?)pLYKts;`7_OV5Py&)T3~
zRT0Ek&4d6y2Oq6&{{}IWiM{09X$FJID>vV_YClkke8EDCdehra`J@@cw9kre!(Pg1
zxRZxf{O8`*SSvO;x!c}<0?5;5;mHCd+5RxfG1S|8#C*%*5B>p`=_9+>5%ns~I5<>X
zyft)NFA8gl7Oz!Pvil;diq;S|_~H*Yw2uxGDb1qfd+-O}Asz{HF^tL}k{ABw-S@)F
z($v|?yxL%-_XnIe(}(OZFMvo7LHu!WEKhYyE>oZ;9O2|-6nGCX=m2^D4mRYTKogrA3`
zq#MTC+7H;Ng_SmnKL7!V^lmZnGJE-r$58g}f|n9A@u5KV(WJ=n*{L|e+2r}1x}!%4
zhFM0%e(XdB{yX}M
zYf^lS9@SWOt;%?5V!l@G5Qv{Bd-lCOD|JmV>l@c~siEf=+*>9H;sUDz4NjM>PINEi
zfsg<47uK&Nf=2y#!m3^mD=t1xg!Af>vQ`WIoM%bPHAFURx384hI61RTGERd%zGI1*
zt!?TvKB_JOJ$~}K2n)UU=VjN)wY@i|azn=<;?0(j)Fc1J0$4Yi-ibbS&{?US&u<66
z{q*+5^8-#ieme+Z0cY$T_6RxCw^9TA2YqRTFRRHG@nz5Hn^_L
zR638L;^f8Wm$@cZatUlaFL9Sih=cWGON&V6tkgQTb1BN`E9n~C*ZXnhMY3SWx_G51
z{Y=85SYD9psqqOPzI%CrGWP-E#Rg{S%D;4B^Gi81sy+u>h*z5>@%KXObgW;NxbA8{
zF_ODeTXXDmkEh2LO6nC=!n3eBsclc07+XkQhr$id-`%&`I>Dd}21_dBr9pz(Q#NU6
z6=UZy3vG9MtT>mPuK)6`^u~_LJo&~xLS;@4c(=th0n$i2FSLgB3|us6cyXOd<%UK1
zm2dWJA48ag24c*^jPGq4uGwfgxIOBAk@HOejLV=5dK2(~;Jb(EUT}3yl>Mk}#o#rx
z>^0dY^Nc6LN}kZ=v_>&fI}vrrft_|vy;UZtvnDR1ZBGC%*=e_WcZZ1>WYe5!ot!X<
z-9-<1P}iL(yRWDw_>D&&>&9!9Ev3sI9M-s!-O;ME%p4vQ6R5&&fE%-DtycIEWI4}h
z=d;2BR5D$n$M7YkqSrsk-zj9bjlj5q{^pYe!N61n02jUXm4?MUnv@IU{pF;yF^ZV`
zB_+b>r{(uNN^=HUQepoQE71NXeufzk#K7k-$2UcZQ&L+n$0pHv#EUap+t2FjV4H=v
z{3^Sp?9s|p}1u$1tKy}>$H66dvPUf6dC%}#Keh0hQuity{QhqV1eznM`Z`-
zUMaBuA|Ws4vpt9N;SRR^-tmhol^s_jijZ`HfyTx&ulrx5{HH!RW!+AY!l
zeA-cU?CS|GZ(i?P#As^WK`1?ueCjki@$#t9r5})4T
zEu{S(YPvROn_jQFFrfHJmoOk=wnh6Axyp(ig?=VU$(sCmKkpt0thCJ3PI7q^1Pe3gbD%P`qv`{8=rUq
zDO>Rm$7y`5hLAQ~R=@9DA*Kvit&2Wpa(NeTQTu%k-W+9>k@FgNgkU=bBtz+JpHrsC
z(2vX2Q$Nck%D0~vWACF8M
z4pvpv*1&r7x?k3PkH6T~t1&sPKn=83b!PAt^h8;a+(z$ROG2sIL5CJpznGuRAFBe4
ze%a}qGB{Dt^wxhU_%6N2YHYdTVdV7Tv1JVIm7D28qM6$*MTjk1l#l_nq>e`G@}?sEv!${zZDRmeW6}-6ZNwYv|iB+XCbzJ`As_&aj<=*
zruhefA`APze0d=?PepXz$Sn|s^K)T{QslM)aewYsr|gO)q~8<-hRq(G{}u)yocKq5
zwRZ>84jl)vjdJ%~G1+P}^O{NE+2mBJ)*ex5Xb+*=4wx86s?
z7WWnB22EHZU-6_Ku~8`hx`^hgF6y7*b+qSiEF1uU8djLl;Xfsg^pL?zk>g}M8f^5J
zLzSg_WSHpU(XJAf!i79REiutf~mRg;)DjrqwM
z5;0`vJ$dR#x|+2`-N~nKqTT%0qYbuOLvi%aSHhso)R~$<`>ZbJc
z^iR>oJ1tfcx{|1jXaM^YZ7I#ZY0ow%cozSaxEeB|sg<>b?1BN12iN&W6_N={#kbH3
zSYrc_UUFZfx^VeD5{Z1VzwDWDy0*c9jj{9FcKW_@+ukdpUK}MA+(bU6c$=WIK;H6{
ztTm2U+mRTvk#3d*1OC6~Qndu06#N#lElz(DSlt$Qz#g6M+6nDr7Y+nVv0g&73;R0)
zn&?f;&UcUAp}SBNXn|cuCd?UXWQNYmy5rH^Uz}`bKJ=mF`E>lW4Xyu)FhPK2K(;B6
zEd01#)5*dRv3upFUh%8ZbiK4Rvg?&ZTXfT<4#TC_ctXzpWcv7OEH_1D{YYD+ys{EO
zp!#=4nA95epz}Xcuw^Dzd%NBq6i=Arbntuq$6!MnP9GaUCP{QQ6Or6#Dy^%eb+UAu
z`Nf-mPiRq}W%%k&_uo;(ytbF@BQCPuHS{>^rU~Q%?Ujy2Zc%sdYg`oH!5pohU8n>c
zTlCg5%*4~I%taDY`CPF9ywy-~7Uy858{Y6_v-!|(S~~&sx{XW@TuIb#>
zdu7!ddZI(5oUgU0$LI;Iszz7hQ{;15_o9FS+DkC6^_GNj_^?O3+*Or+YW
zfi)ykV|t)e6kh<92kh0zVei~7>u;Fo{%A=SY@f)k
zD(bv8xN2_gJp15t=Pv(Gf3=r=!7nxAW=f&*ZgX)bP<>Ya$KuEKXYzt%wCd22ywGNt{0--`-A=60UuhLp57AD
zO&iDc3LqFo22JN|`nP{t2%B*?X%dM*$SQ8x!tJ3E^02Pk8D1LV5)y^nLefKOFcO>q
z+`~N@&>^z#Q+V+`xN<
zwyuuO4qe@AwRQ2V=wM{J^%(=N!4h|In3F`L!2bgg3PP_-fqY+1jUGlABNM4}BVO+RR~)&oI`(yBoj4Jzg*e;O_FRYBkVO5ub4ti{y
zv$!Hyv;sh15{i0RE!n33*alRCM*H`-J8yM<(_Kbe@6O@J`2O9*L$${~h2ChPC`2M!
z(R4lBohtcweMa#DSe$4}i#UYC;=t*J%qgIma{EM=seseRx2rOF4DG90ecUuy;_1d~
z%|pb`au%Dr0jFI}vf0ovy=8LH*Yw^>9J
zuZ;LQdi)fHqN#QI^drUG=_Bmn+Pym!Xv?EH%DGtLS;VeUbM3z|$M^bEN%j1v7EFXi
z#ZBQeSxz}Ja?iiU|8$vt5&4pjvYek^`!2OYxNq>>QLd16khIeI*$dq90X3VM9XP6l^Ex(g=Sx*IChq~OWao8d5zAN
zBF2G0}|`Z^Z0Ni@OvQ@_l@MZeZRL
z?z*Pxkstv<1L3K`xod|ZNf`Dfq_Q@&fxUKJh$ulf@;XkWxNTwy*G~T#bnB+({iP|b
zmcH9diQk1IBnto}7c`kAyjN3uzM*3usNM9RM|LB(?mJthd;5p`RVRDKwhSvD+;4tx^R+iN#7r7h9G
zr)c1p=}=r+s79S%q&+qAMqZ*~--0$|UNOcqNGd!|*?P6wQEeLk8UfOXH>aqWBrh>wL
zp{%9SA-Poww32tkXI7;hg)jQtI?yT(@$Ub_>l4^wMJ
zvcAa%nKHGkTw}C;2hToZ<7;H25L1-SW)Uu3rSa#-@BEQ?LK}}hfeSq
zjw4^Q%GkJW;2c$#>%Lywq?-AXJ51~NI9LEB}J`$Yy6(RhA*EN?0LcMyK@-JAT1
zY`z2X_5<=@+y#uKhZV;WMSt1ZBZP*K4WZ0P^BVyN^v(8mo(%5^+cthM=$4r=rjeNq2C}#z5(2!in*%tNf+gAa9Mq*i}ir)kFDDTu#obu<`
zbyBi|)SvCjcV2lLWZV^Wx>}geCd)G}RM#+en!$F{fZbPIGq&(Cg>iZYv!jDzxRseQ
zN*5tcNk~#1!mJsdce>&^xfr3RD-~$pI06HxJ2Fa-=w8x05m4_Swldx`LxAmYYcA&+
zsT~7D@#*Q@>Tw%?GT#VDSidmL@GM^Z;c`Iuif6Ug^=~QqGVL?sK2Q9mhetf2gydEh
z?P5##$bTi^N5w7iU5P`bWwJ>M9@T5OTAs=LIZ@c`h=bWuI-3pKAbbMOY)eH{0}%f^
zaKhNw+U`K(0{(bcd!H071vz!GozI318zv@ee3lyWqZ51$P}>c<3WsA=i5||u3(v8A
zbRQwMvR-;gl(q(ky(6R&I6ijEMZC2l!nK?K-^qg?2QA>o&^xPhmE{5y%{Wz->_ELX
znU~-C+`gZw5Jrgzwiy7h$3X=lCHvv)MS1opb$f#J4;Yw7+*4#{_6?}n7F(%jdfu;R
z&NP*UB|cGz?Gh72H6b0LD5Pfgb=Es^)r3KGz?1=xoWDlCyuWrcwi-%za*VTemPygG
zxN?isX#RUl@6JFTNG|H+7##>DbTh>T%<24Is59k!lUdhtFq6y^K+{M<>Y=pdplX<9
z2teWC6_^MlyO@+G&WA(Jh2~bo7BVaR?$Hqh2@O3iZb%XU%SDwHDShkl)H
zxu60~<`Xjdb|gpnf6gFPgATwed!-IQAIec^2Z>^$q-Ny{|94X6gEU`;XRPu2MKsfO
zHEu~uvB(~o7_)~n?V}0>+#*u^M#K`nF0{I>V;m1yjSgBSsB`4S#=f_D1!gN|s^;-Y
zNsDk%6#%GRhqlpp;bm8`rqfr%I4UuFgCgiXRWnviii-HXa=CzT1@s6BVdbHw#zv&L
zMP7Y?K`a5$%N*au#@_zMXa40l@emHk*uzHCIq1JscpVvqqbK_3o32
zdxuAM7!1q<0Af)St41P3vD9QAt`NXvOId-oh1?~#ZxJ@DR*6$!xz~Edis9eD8QW#l
zUSDTtXZH#cWjtJL@QCGwk{17(Fiu#Zk|0J>Vj41YY!Iys=*l$?kBQk3v`W!p;>nllnOFXhEPoG}gNn{YR~H=gvjeBt3jcRZ~+xeCpxDhq@=Mkz>BA
zJlyYuE^wdNxC2VmHugG^~UbRD5{O~x__{^%u!*>DqtDL4*t41-;#3(0n<
zW8NyVZ7`lWH`P%3164P&m#VO}9eCV-#-BgXF>5Vt7A+!d(8PLob9si!;oYzA?G1Ur
zs~LzBQ+S`dSb&h6xkLiTaqfN8QH8sEjGTW)SF;>qeJ~f=P}kdMbx-=55yJ&^o=7$H
zFF}}GL3CBF3#!jGmKtDfZ5xu_%9qeZRvfsa_>6rA4_<*FrkuGuDNosy%ME^rGL9Zg
zRlQ$FWmnk#xq)F$_$#h`MlmS5exR+zMnv1VA9vPm=$@m~+b#G!s1Aa_Xo6?kCZJhg
zq$Vw&ldp3>Kf)ny`wq(?Q2Lt3@4MDd!G?lF&dSp1=7GZZG#`K=J~lR9
zL&D(sLMqOC@RDd7yT-(hyqb!0htFRxXGWb-CpEY?d4Hx<+Yl6Uq-&k8W33Cj`K?XR
z4)GD^FW`vP=KJYNvuk!VS=6^-N#b0uftp%T^HQ9<^>TFlFu8ue)|5{eDLvrA$BdJ*r*
zUy%f(2(yT1ohn5Y+gC3o6BuGJSz}gb-InAvMuZ{{jps2X)eRA;2Z~!X9@c<_fPqFq
z92s*<3M4*EtSzTur2~ydMpzQWsZm_9(e?WRh^HkMFywY6G@rLqTtbQ*Al_~59DA{nLo6v6B@MmVa+k+7Uwryf6#P}E
zf<+-84o#8QP+l5pou6%OX4|A`_!>mdK~V9x{2YSy73sM~@)@2&_EED(PU_l6LOM#u
zsFf=*)~s_nGg;;Qu-IkQG&_Xj+vS#MEi6WRx`+K1tgDyN4PWCV&?4Om&~qo15aayf
z@R02DYTy^WV*LBLWoQxu4bB4>4&n1!Zbgwy`*J$wO^rw!Rd}Wl#9ozX!KjcgWI7WW
zW-h&%Dcn*VwNB~O=L}Md9c4degIFo3T}T~262~Y4C+(SE8-2Q;Sv4SS0KCdmkc({w
zLFNs(Sr$rB?c>viXp*KM%Ud^iOlk$vl<26H@%73qsmTp@H+VuR#L>LtYysiIs`~3?
zkgt8yZBUQgrlaxoKrjk!T6+!sAheRQr!Ee%UDEE+viOQTIX!*D;w(K`@TzqUc4Ym0
zS%b{I9X{XP=YCrosMH*1N$0-DfrgH^DC28GQsP%clLNNsmwe5!6Cm0yKLFf-DkPuo
zZkPBqA9}2E7v5RO$3xJ;XX2IU-~-WF4$MhWcNRSEI0r+3g@G~&H`>Kadaz(S
zOfN|xk!XcwvDQTRl#STvUzMUzWkp4oV-KNxUt%`Gw2%%%E~2*2E)L*%OzXBD+OH>wv_!PE=5)mt
zolfy1zf2qkE$1%DuOVX2|OfS`y&_RPpR3sv*xVs>dB@`Bf{6q;Lp?F&2Wf
zslQXB?|>>jsnj*5Dd?q471^R~ruB4l`Z3@!208>Mh;zk{FBMn+Dnpxc8F6RRiQV|%
zXCK}jB~r#yB+_nYC+Fu2B7``W{ZSSH086i9#YUERbhD&WjWFZJET?VM^USkmPRbwi
zo%Hr4+>Fhvx^FR7#bND%07T(nb*|G_2EbYB=N2@PpCw=dV`^NB+Dx3Z*)`N8~8JUG^QkLRxAiz0PEli(s^VEim0xW-vcNT
z2U;mB$ewrN8PkoX3BSHc7=NC03ZL2tk~wr_wu*RmiNi&r{n_|YoO$FRDZnZ1AS{Mz
z^FwwlqrOM|9d(EMiRWV`-A7X9Y(Amr;-`r2v}0^$*3Deb!Mc-K52EWN%le{eeaf(h
z3Y;FJqB21wC6i%N0cZ$#wKilM5%)wLT8fXJ{<5<<%=&F6g}3}|{+W)a7-#@xLW22`
zU?b~$4I#nna9>+tb#A;l5chBeI$WI>qP4Tg%CLpYP|XS@)4x`+TcPv8L;k=cB+wJ<
zOp6UF3F&epz&j53tmol~hZ7e`FefWm9H**?e&Q?N#&lT72OuYCv(}it`xo<`H{{HF
zY|QPyv$R+!#5)GZpi_k@enNF8>b%;%VUH~#)>l7Y@LYQHX#rj9F5Bc}=*}zq4L1Hy
zby%kUftLGO=saH{o0S*E_Ryh25sHpK3uvP_+dkti8ssPdKT{?U%JisBRl5meMY3fC
zJvTw}kaq@ljI^;vH$1{j!rb2r4Ir0-I8+~P7&4c`|D|nY(n8VARLJU6f+mPlhIu2l
zX!CSBg>L=%?d)iYtgrjl)uvXzPGhXNtSUkLnmYtu&>=ps-O4&5
zTl=+oxe=rhYGNh*&
z%qFP?q}a8Gm)w8-1{*&D;3ssm2$%2QT-lfrR04Q|iXX<9{}euM6oG9b{1O8sv#}ZQ
zotcPZd5(Q&r(tPA5EwFu@P1Ez;`)Wdg^k&!)18C*IV94-;-PYg8@8rv$$vk<*jkB;
zh;}U`D-tQ{`CFBuCl^a=9>$!4v|GSa@s~9m2U-V3=AkDhfoT1e*(;rZOj4wS#)UC^
zAmlB97(7zyt!5$@nLSJTcmM~mh}bD4X*j-f^UgbqbQ4w3*tPfGnP>`e;@XMm>zi1%
zboBWc<$NSkmK;tzO2TLiQ$9)!B2jc%#LQHT!H&mtUtW<{5XOI`N-R!}>R3#P%E$r~
zy&4EJHaXr@8HDUn-j{c6gD-NbUXq~qoU@Hkrr3t5
zTJ3vJq&&)GlTN*dZo!xLVJj(Dv_y!}XXtr9tju~Pl&>10?Fx9rx5>NOSs1&7KwpX2
z+SJcnI+P}$K-2jQW_)~IH|n}GvBJ#()ZNfov{78A7L<~8L~h0G2y0Od@%e4*C2hT*
zqfFn#u4sFaab_dtklDICte`oP4n8)^SS?1TZry!7Fnanm*5f_Q?oqg5^kCR|RzmFB
z$0dHXbyQsstE_?wmCL8amof60Upks6!$c<}gmPVmVtC`S)m1!-L?yHj{~^E7l1@AW
z_ShRNU4pQVmSdwG)SW$?k%(%JRN>d+5q5V!r>|4uxQnia+H!ER-X~LRUiiXd#?-8L
zc1}*YrS6#x=ws*NLL
zu`3&mB_TkmRCJ}R^{zynUH)7lZ<3?sP_ch{y+%9Hb6D!}s7cvw`tdH=fThGz4VGxS
zaosm56^{7N4YT?@RNXzpx0k#(dtMQk{U|&8fKZ%`-C;*6|3R#sBk6~dl6ejeyNt29
z4+x7uZWZIm)$e7>)eKJ#Y^TOQ$hC%4nTec0qh}?ij;@PSS$amFtq}})dzqD{X2z9c
zGcANM253ZR_q7dqIM=pc=3v;V*I&hfJNrz3vRp4LZ=4InvH**x)5bo=81Za3<}cP9EQ5xCP@otE{8lwmjum(7J&~ciAegGCr=d#1o@}
z)O3#VHR~u+5qel%+C|6`NcS(|h5ORAEb;4Jr)@PV`PisloTW!^*U{4pd*k+nkgN^A
zg@|yIC-o*8$Zu*qsQRk_K~Ypc?T&K#+6vU1qd(2L-X*YpgQB6|z!~a>RZynn
zSDyINPc$*7Eki8##8{1qE2^e~4_oibH*tES)Uun3U}hko)p)GY<*|+WWJ4#X?(v^H
zUu}y#29#SO?#{gh+tI;Amz*=h6ew4Ah!D2F(7M*Is;p#)aS)6Z&*uXVXqo-?Pg4y@
zDK0h<@@an5Z}rI-`^$ExHNj8(@%AndPk6qhYUyz{!H|cb(|50avHKdm=Rrenl9;s9
zS>8_|DJ5-UiSGgW$QI|@BSl9H%LB^9mN7OHJ5iz@ZQJWZJRuH;@TBTnCtSvaly)*x
zmbzgHCj&L-!Bw~)d?*o2T6WTpbC@#MjIf7%Ica63d*Tbz8Y9ukpuJ{md2Ekir!UYO
z)~@b*Iuaef4#n%5%HHX%N5}(RY~%fxZR{aqmD^t`EQv<+Xy8BGS
z2kcxWIrt+0!8hn5Zl|^v=FCZ(qJ()V1PL7Q6C;Q*#XP@7PwQXC|78uZ6qh94VzVv|
zoB2`MKO&*9Fz+^$y>gP_>7}jnW&PGw)N6{9`g_?k_yVX;vhLbYGmpqhLt+peg->lm
zZ3l|@UdhUoIDG{hsET8=j2?x2n5f=u|8NbS+(mB>VW&0CFrC~yr<1r6bsm1pxxnP<
zUBa#g=5NIZqpZzhof^hV0i!$-P{7%K@WeU2*P
z6bs+KYkhfLg8H6Z`PIL6rqu+;=VlxYz~b*L3PLN2`Xnhyvs>nGHBOqOq0XT9`8g-|
z(Z}ran%WyYbT(Xi$@8pi%^}<#MPK~3jTly}>Qx@wy`7PNV)2NT;(AZT^^s!B=Z}xu_DJ(0BE9djzx-Nikj^g$I#<;>j*#D28U?I3
zwY_$>bi8AhN>~DdCdZ}w4_rU=KU^`frKMQ<6B#%@tt3WSFOhNZI35S!NZJ>E>Kg@M
zZ{4uJGLvX;4OxMER0?HuO(I)LFh;G$63cG#*xp9ZGtVU_
z#QJ>Gbbjrw_c##?ZQuoivWuIrxZuU-t#DSF^-3pwmW)0As*H9^HUVtWlbin`AfIva
zhOhyjZ&-19UCwg>G&&PAOM;bEfL({ccET1Z>NP&hV9BKk6z9jbp&tRwzJ}eYB~IFB
zaA?(XP4Z5-DQyx@kO$x)Je+^)>ZP$70gBq`J46$lJyb>VP2`f2Da(g@S)=lt^x9Z_
z3Cwo0ABM|&cuQ^|VOgZ<5Anj9Tc3-uMjCrt0n_r8FT@fCO}H3S;?GzlLmmz?$E8RB
zqwRS+cK3lwmUyrC1UK8IK@ZhW_l(NgCPT8xJn#tcg+yE3)S4NMQ&J{uaf~C`mlY)v
z{Y4e>$>7q-gZ?{e^M!ZQZvN@&eQcVHi`fsLLW7Y7!2mXHZ(f?hDzm;jOuF|dynxh7
zQ?AHt8U0}-z`pUO_N(l#e=*B|ZrzL4@(bq4b+*G!)a23DI9_vYB0Cr>Ui%n1i2;s<
zrK^%zSS9<&H%`N^3(p(x#C>@Iv8x`tOS>q$@vnrMnlRX&k!m0Qe7u?Tf*vRE7z3`15{FS
zICY(Vb`sm-YS`lpnwa=X%rgG+2e3(kx{B$7NHDunP-$FXiXG7OxU{eNXF&5iHJBH{
zFQdACG5eCSTUK~1Zr+(#230lU4kjX6iQAeNA$btSRE+^-ffz!ip#T8v;z1her56u!
zlq-|Z`lo>0QnrowPQxlbZn3)p6t&Fsq66xa6$l~Lwzkuos6Az94crO~V<9HKwD_|H
zYvIt|N?t#L)~`q*1T9tKEw*kW`tMZNUM>bREo--)7mr~LLd28jQ>VK-`?xoNfm2qF
z<-c2d(C^zZI{zB-yig*u3H=t1)beV(MbsYSuFVr`5c%6J`4X8xcz`03ZJb#VL>Rt9
z`Q&(?50Euv%iHtfdr}(_MK|^F?CIOz?EU{?;nv%sguH{qKIzP=8gcqPKn>_U5fF6^
zio$xLHldJ3Tue9%(hy3m>+JyvKQvZ!!+4-c!%
zlKKz7(&+pTKkhz_XI?9`kp7TEa^>^51qn}}-Lof3iJPYNzAYxm-alMg@SzBSc@_o~
zc}<@w%9`UjZsUBR&9?}ZD6(*IVUGrQj)>m~Vak7bO2sok+mrxy@9
z2-54-7E!NJ&$HQNMaGQ)A&{2wTnG+g;)p1_6rOB+x8GxTy}*q*`X{uO78470FQK7R
zC8ENYTqqJ5eRXeD;_3WsIEdFS9G{7prr}LeGPy|Z{^O7%po+VnlnY3L3CNVcx
ziR67`Kz@!3O*SO^HBrVq{F+^Yae;PRjNQI~|3cJ=AhOV&8l1yaPc8^gldP6V$s{0>
zUO`o9+N}4w_uxx*kN$$r!i#e2*DvXX9mn8m)J29Niv3UW&!dro0P*-Cefo9p^!51q|RY^@2ikpw;Ovqb9SnBe0Ji8b)Nvi;N)AwWm9kx?f(9fakGE$
zbI|0_75~#*BtSZBK$s>7Mi0T5#%KmlpDAj_==IO=Hbed`pHJ#M&rT{5ibsc2Ju8Cg
zsa7Jv%Lp*QiO{|zdLj@2yjhJ#;@IWZB?t5l7jby@NGHrht{zwg<}Uz~6z
zof=8F9;B~>;X~^@3KLQ-4x3+#vg;oBB#f&SW!-xKt#_kC<3NfEo^?dE
zOnSqC`}UyzFK_IZtXF~AH-I~;->9s7Sg4_hEMg6V@yu_)4UU;`Q_gAYe8sjNOPG@-
zo^lA>6qxdnVgVRs1vQ=_8C6G*2EuKm9k3BKHkwm@JKJ~XSKQ6&t)^}%LfxmTj}%rD
zu3J~*Ak4gHWWviTE_o~hMx{Zkm|VUyy1R>Mvt(54vqTGG>etVo+8rv&y|{)NbXmy;
z3e=H6cm4QdR9vAdY+!t0fk;IUq*sB)_iU1{RTE{I+si-J1qBhV6G#?tKY#
zscTgAxrr0R3k==U2JP!fa8-7-g}lupd!CRLRZ;XWwyNTO0iMXek)%n^7AIFdY_m^M
zen$kw)5OF+f0>30ndoQ-e0dfV7{ovDmd!ypfTpuQvd#yQ?yfqf#>bAemkbURLZu0D
z_Z7a=nZdRlM`TwVIB)QgqA=P)Dq3MB_PfnUe5p4uOdraH|00?8&ct)kg~$0at+!MuH?9|-A>Ucz`#
z^+$_xfrBGA9W31fV7|8!T^%f!i9cC2fbDOzfX6t}(-*iJ&+l%VICzTRq|=gx
z;*Do6@Yr%=!K5C8A}{L>hV-?qH8|Aj*;ia&1dt#p5&P-KX!}B`Vyb+9&8ba#
zA0QpnnZ7!ue;6$9()nkd82W+s@$^)6gkv81Iu!shOer7d?$ulCL0+o+RzWVyx8X7*
z&3%oUwNliXX4eLic9!vcY8|Op3&PFwirHVCof148E|bx~P%3SGWTm#jx8X-?htcC;
zZF2MyQn)f`_sLVINab)>$Bljo9Kue{yoMVW7@(!ID~P8V1-F?#ZY?KlE|cR&f|PK@
zfw#=V2XP)sr<>gdT7qE7+6F>3Q0Z`Tet~Ldll6zyH$>F#t<;(&!4L;MJqs0|gYyJb
zH^@4JP(}U$&;zmtd7+{KqX}rwyG}c@?1Yb^eHmLPU?pOuj*
zj?zm!rE1NaY7VRU1!HWF4)Ywr$WMlI58wPcbk>;8UxC=ZXaP5HRhawzME(=Qw<1oX
zrq6#whQCDmbW>G6yY%kLV~HZza&Vd!)_-oV#J_yG>6lP*-O6Fl#Rh0?)b7V=2Y&Fv
zH(cZ7G4ZAJ^iYJ~Iq{w#z;>|vGJWQ~SECpORtxOq7nrR$<4GTfgG#gG`fF66ya0OJ
zPM#JE%&)y`Nlk4~Ki&-HXjmspa>U
z8=fSmOr#we3B}oT;*H7J44_X00jSW`moI`D&QcI`g-k_Cdire<;MDdz@22zX;Z!Tf
zhT@Fx@Ygmoi>+te45&X2Y<9_WE6igz-QhH>0eBer?wi#jPBu0#{xi`c0T4jk-11yh
z2`b65V70NYr-HM<5+fPKMnv{{3>iQG^lf$wZhx$O^Kfb6HrzaqAAxHJF*DH##@R)}
z1<=H_v9sIn>_%r%K&zfa4i>rfl|gO(3^^u*P88M=e3f1!A}|x;+@UE0$Z>)F-$X8C
zK)y(?2cTI<5Po?jX_kyAf%1#=W46k=i?DOM0QAj4(fJ`!uq7u>)nM59?AhjbaT?~n
zcPUp8Nl6Gk*7LqYhuG3SFOETXqTxCYpyQ)GpUD{6a&bieyJv5Dq(eqSFPZ9)20ElG
z1kgE<Ro0|4^~SM*i>z;QnhTcOpqdrzErP`iJh35W&+#}P*z;rtZBQo&rD;fj|OREhQbtl4)?o@
z*16*hA^CE5a5%uhEhOOmrPfs>={0o*X~m`1jK0Enq#B3Pwv1H-O;Q2_q!+xL|2K1m
zXZ0*VXi-Aml3J@Yt@Ik?cACt4=|h)szp2ZCntB7>w5LF7B_;2qldnx{GJaM4PNw5L
zApa7t)VHXt3DR&IN8ruIGtfJ^2DN*+IOs=!lOU1c_J=OMQ3L#i3mdfJ-TcI)&zc|?
z4*2&vP}VzYi3db5fCJt5sKOKEtU-ik_sQ>Ivytv*yGJJi-&kf!t1T**ImmK*L&|^t
zGT?w1LM{OBB$N`54I{JLvAl*R7Rb^6y$t>MG$}BOdjpNq1?%M>0;K^{o09dT{BcIg
z#jTf<^RMf^F}3Ak
zV^wWy4VB5t?B6S#_CLssLCP)TmX5lX7Z7JBuO7QhH*S5<$z
z6`iTxkf*KT?zTn)R@y5z7)z=>$J9$CYBfb_@&7z1-f-z_m~yJAx8Cm04bf<6&ZP(X
zldELmmB4BQd?i`AwKhe)|IOrJ5N<>EC;t07pvQB!X3u3(JvO6cOo$+9KChubvpkkU
zDKGl+<)H%L^Zcs+iv{qR3R}>HI8REZ<6L4QVm*6g(6ijpzLH`no1LBA
zrlm1OAxI+>vb+Ul6KGC&=x{B#4$J^e`({A_s^VzNctUPc2G-y*M
zce>bR)?JnRlkLCh>ekuo?~HnwEqO*qd#irs+0{RILtkz5;`QJyvt&+s&G~-gONK+l
z*Eg>{_;QEV9LrVG`yv-))!!K$;@HeweO>XKxx#p{dFRh)z1UCh8WxMZzu4b9I;Ue#iE)U@YF~C@;njAOHU8hf2-WN8-Y>iu))WTwzkd$OGVlA(&tuE^
zJ!rMd51ZT{9zLs6dqn`QJ3>Ua7=}_nFeFQ+W@pzsZy~<_MLuf|Mni}s_}%aAHxVX$
zORr8gFKa7q2IQjf&$DVt9dIrbP4s^cAB{M5SMEO_MTGiF4F2b{{*Tw9Ni6>Nt1q%R
zXiWe9>9K-I`agePLnRjd`{)0kFZh4o^#9&d+=2hQr2Y>(YDe9|=Ax|u`nnF_w^1mC
z+XA|M+QH!)jYT
z(J+3fCl4no1B~876K~#J3QW_=CzY~sHOT-*)}0c&g7-};Ep2sKxqEWfTOVOQls}N}
z(o-+Xg8{wEObsssV5B
z@wla>(`S^5oo->$O*Y+Ro_F|ISiEr7v|4m&$8rIIqPgO~|Kimy{Kntg85cDH`92It
z6tgb_fIUFw58@&+y!z}y6VWbNClnMrl&P|Pdk#8crbw%eGcB*I`o%)rTJbL!ifNjn
z{}lQ|t7*H6$_J0uEp}f>Ev>lOKi2p{-=&v9+l2Nng37F0as6BGeTneoEWpu7s28a%
z)trEs`uY0u}B=yGGHX#d)hB%G+Vv!8|XWUeM^2wtSn9Gh3)4KZ}V3hc~f!e)w`uP+R%m!FS8jGV>04
zh9Wt+xu@X=b5Gf+#dhHEv14iQ^ytlPa@=od_$fbjpO(#|n{R!*~2Uj9b^|Ng9FPd`okz`H%P1f*goW_#$nr>=6HsO0rB#w%
zSZLhW*Vo~F)8#id#J+uEGTy5BX=&BYn!jPzd{2()LH@*#>r&Awo=lS6OUx(AwmYu6
zC(`=uTk0yu{2fNBZP7{&jVZzIz=#HW9=mX%2)nQ5S4R8M5Az!>GmpHPSH0EfZ^j}i
zvwi!8`f2jkk$V!|{Ur3MlyzBdi2d7IucF&Kk*vC)Ac(DN|W|`D83it8|PG
z9{ij#d-}qK3!^0iUIuy*vY(*V+AO=wS@>T{A&5mw;`eP(RT>w2WcEXl@7!Vyd`E>I
z2OwArQKRuMy*k?UAb8C)6GG-mX{k9Xg$PM63>{XFdM{HQWO!b<;0j<^@MHlNM)G0k
zZ)WF_3&v+e*+=1b#n?66tqU=ck;*+!3-%oE88G;_LH)PBs)1!qcU0@l?`;D!s$utI
z;{&_67mInlw%pW=#2ZofGhFAlfZHKtQa)|>T
z^VBr{y-6ci;L1+%Iw?VAd3lSU=Q$VR{fk>@wc6qfh9<^rckh8OmB{FGr~<^nFsbK|
zEm3>p)KTLS&m7eG4`Kb~HB}d<-Zx7P33v`Emo%)929t9^)d!iacovdJ+Ty3Oy*Fl6
z6lT9lGCpySQd+WY!y-1CKS9gjM7?lZu&cRpl7<9jg;^;bKc39Nwiq
z_0y%0c?eD1c(HxSK)!>G=S6GlWJffNb!wOSOzgsn@5>H8c=Tv0usnuwX$1w7Ci6nE
zTmCBC{;{ijk1$h>3u}BON9K_|Ft+*(2!g?d3-W^X5YaMAKayGY>n+3m+U^I9S=PZy
zPA!kY3f+ZsXEEEQd$84RneBJ)eY-wG)o$PpieI(S`u(2Re4iT|A3?s^7JIM|dMA9f
zhh@WZva`EVlVgqS?9yP2;fksWp)5*n38NbKl&sWolGwdwj~clh6_vIOtM7sLQ`TFa
z=*Xp;&rdbz9M)Ps95}EivA^Gu
zlwfEqa(60oAAyd4FP`opdF|KkYi3+-QAo9SHK^`c7uS$Pgbl{o0b(p~Kwt9mM4i++
z)JcYR@|*{;!(@IkZax**kl3+l9RH)AGrV12vk&8lwgr^ZIL|TW`AE!w^!DxBZAULO
zL(kw!KIx%IZ&DerLkWndGH*l3lCZj9X^~4j*EV~^AWNWOs#%zLrO~geZjI!vTq2~
zgKr;QSC9|TXKo~}##6NVS^dY4@emfx-$#)zMD60$e=e>LnA3x1W?%=&YCbR&R`Wan
zSF}>lQqnTKN7JUzbsf7It0pWgY@BoYHckk~=aW`mKu#V)kQEXVa)FnC4RkjPq5GNx
zZ=+p4MStD@c739lH#9V?dc?}mfgFRu*Av29ooTSOGKprcrBml;<34~B#UHeLTh1kg
zv;J{VI3JQ*5La-n4EMQt~s_$B
z8hy;LVn{aMINmKTCF!#VVw?B74QxVf?
zEI5~pJNDZUl5k$*wlF((yzQTrGTp}A6RkcMbh!P2YhhbePH1A-+A75l{sez)12zbX
zLhaCpSI^~SC)&L3)BIaS6RP^~;n2Z@w?WrSfDbz*4@o3utj3{#!S-+L8$fo;tPLpZv(p$w|$~FbHkQRB)+;jqM}!
z%eoDGrudk;1V{h=y(7mYe_EBrr})R7FxMI_C(SD*>K=n)8pp(5abF(k8wH}5>yV!d
zXm&~9F0OG95eQVi6=j_fwkiC*9S5!bJV^AJ4cD(N{@`pN=E^;qGK)8VWTW^9EIA$I
z!4my-wY5|oOodnF%-4X)Bl$_fN|l2a((Q3+15)U?*}a|dc?q><1Mqou@X7V1G3JtJ
z%=B~T`dr=J^Iqx_iIU{*~socgcPAEw9TdK*4!`iIn9Vu--`Uu
zeRsj((2I_mcg1W|Q&B@Ws8J}
z0!mweDBZP@5EKECZWTd9LFo%Q*m`cpw=iXZFqYD8f>RRX`!Y|sA*Vae~9O%dA2SU?4^fpx1KW_?lVGTzl$%ROn&
zOs^;ETU7Qe$9)l9waX~JnaYnvt3HojZKh{_KOJ3MTzD?wOI>o>(_*MCvofm9Ai|u9
zWrb0~J5;mJ^XW@&5URsk_Dsq@JD-f1G~XpM$oo_^y99^T9sv5%Atp%-2L~)dY?=gZ
znfw`s5S_kNbr%}RzYn0=gc4e9V!eMnW#6ANv{~_A
zMV50>@>;RzcmMf&!sBI{Dk>`b=-C$!+Uv|Mz?0ISXqm$PgJKM=E1Mh;^1W8^K$`|9
zS3tgl)^A*s*D$!zkH|CCH@#kUa*7G};^7Iu2LWt(yzXXPJl((h`sat8wbgB-ek7Gt
zRt_Jx0-+)3=Yb=X?{V%Ucar$?|bGUL}<5
zifDocL@kVv%$0$G!`dwI7ZdC@K5zRFpqd5XtPs{0#v|ivb?8rCb_x=~Rv)f+zA(?1
zqo~XE)(&#{#5!@raj@8b0+U2u3wUQ^5)!@
zcDTXN$Fx(8BLu#_%O3LI!i!3{k+6FTF%9CmCxU%iP>*l~?%II#!83VV4rrHwEdV1a
z3q|Ki9DM7|6#%T+C!l>9>YUqH02r_bPP>EJ1t{`YYB%)ZlGwpEG2{gI<<;N(nLja#
zZ>KtT&Lk%AV}DkC8Y0HaW)zX6}8KBBE%*7h?O
zz#r55EPl*TbAL+Z2GVfixXwz``DC;S-$G~kj4k
z0P`$tN>=RbuH$Ekz7k#}Ob}2_;_SdIgHul`Ss!h}{3sV~W?^#s4g`u`!ScYnyu6F>
zw^CL7(2fl~Tp6Fl2VQAE-2`1?SVqt6gA4o$)>Rx}SEU-L7@N>=i~Bq~kj63L8)6;m
zh;*z{&k!N8Ve?_w1rhg%VZWv9fK)uZE#FM&UWtLxemzvi4x`jmsBn3XK+o_G&
zKg@&gqdon;KNRDtllO`aa@{wcC73>{%X+I+m|Ne%8I+XM)6VFphxmFDWdF;7CH&Dv
zZEZGAOf0h{2Q|Hru#x_)5WajsGN5({7r~RdXl0*Lr|L2t3P}+LutS#JZfmzkM)!N^(^`|ex&b%i#044;ma?@kWc$)t-KmMlyI
z{j&xWp+@aYYIc6r3!jj&nRG-A{t$ci$Opk?+4DrPmKRpoyyiYf0ywsUQ3N89=d-N;
z{xm>6qMdOqD+Wm9>@4rUmp^t-p8-4#_8FT8k(5?4qCqQWPVYWAET*D&D|xu2p?vle
zG_jF*i>-q1PgX|0vtEGSeIHEJL{Ch|L!IgM+he~vmwNgDF@s)cVNK+?1AkY`~0y0KeqU0_{p#SPAVO7P57Tw
zv+mB;l;F$kwET;t!Rv8rrsn&)x^taU6=dz2DGjr_=c=;W_ty8u{A-AF9@p2aZtV!>
z1y|V<9_;9bD9z1%PZR7c_GU-Sf5_Q9TBm9mg5<*%Oh_&<*k%yt%GP`tNJ&e7-SC;w
zIZ}o)%Y=>uubKgOgVO3tw;1-4ArKdGo>k}vWIzTqBl`LIF2iAmQJ4_6;}nsM8@Y+q
z`o^z}?c^unH%JiXA3uKFEjsn+yoa})p<#RU^7ek5u9&1LX>8TLVEoTT$j^4bS|BRG
zNWCbD$x6eI*y^9LK@C7%x-jC2
zo7U@WD~>6ts2Eb+k839*o6jPXhe)0jTC7ZmBdV^scK9WW9}C0u>dijgkt0&(p1De{
zUp+n6A8EPV6ufXP^Qttj8UOFa7277Zp`TRax*tOWgZ$;gzs93+%AQfik+D%-X{lV^2V;IGu
zH>U&@^z_Kc?=k}EuVa@naPCPKt@0fx4Yqw>>h=#Ix5Ixl2`$7Kv#x)M%~p4c5w`Rn
zKi>ax+DXQgB6ei|$dKBqH%U+HQK%lzO=0XCRPB2d=9-2CsyOf*k%dw
z3YDEI3%e}4Gn9rB<~H%*CSQQrTr`EgMp|l8!DrFq4Wd|iAcAaHf5XSv={J*JbM!xN
zRJ+_NsJ4eKA;hqBkr5178NW5WnFdN6^iNym`@-X=cMcew7n3KTwLqYNARy2SRSMJq4%of5g~K0VM{t(rV=fW_m`ecFKl(sZ0;;l+s%SY%-f@6
z&bnj&lP;#6>Di??)qlZM5-PMhn4?yHva&LJYio5ugG^&Hvy_E6dYnma+uuFWbJkx@{8yy_i`FN_AmT(c5-EeI|>glwX&Z
z|F9GXTrSocd=0m&l?ChYd!B3s8SnO-hvFU^sk#>=PPD3X5BGm~zkM|h;3i>#MtplvLY=bFk~UYw4(#77k(!h&-Qh#{d+!joOOy(RHrkm
zD4$~vVnHa#Xn450>pa<6A}yw1Q^%7%ckbun6B(7`l@d|ClR2_wV
zHcrw6RzTZBHxExSB^@)LGsYH@5cTW#y`lVn-&NvrKw#pR&s;`Fm;S`B_c*34CJN$g
z^dqFFnePuTBktY^R0XwXGQxc`VnF9-c=6Qw*q%T2{NmOBa&B?4QR1C9v)yvkByT@{
z?Ae;*hbk&688J99KuA3gcmF+pfwlK02>iTQl<#`PxmR#&NlS
zs-zL2)!{4c#e7)Ukkuc}`jFqGM}Gd1;75FVb*T(zHiNYEyGrVCgY19K#0*;nZNBEb
z23S9QYLq}6XQHfkD8T7BB>;%nZ`0o;yhiIgo08OKUNto5bU$Q;L~&S*}3<
z`E#I$dNo7(YQ|U?ANI
z+(Z6e=WO5}iAKPK1`F{6_v!S{BOz>pSlz?l@_2^6L@^ZbtXSJ7Fnl+mcCIVbpTg)U
zeAi1|d-|A9L{)Yl9j~EQ$>nE|xd%9oY}|b~+jS|gM3r(J<%kJyBx;;J8(5=O)bv-L{9F^l6F=9K-Px>^Q96zdJ9uAhbmrv{cVtn-V5-?C1U@aiC1
zgq>pgn{~X9_1o~
zUO0XCg)-jJwRFH6T;P~N*JA&j1t%st{Z0tiqU68(kx%IN&V5(mZKTXLb$h*^)G*A#mS7!UgdaMJ{2@Ukge{^LW8^eIPN4g
z@y${b`wVRS3!jqh@d2EuamL9E?g0+G$m-(!Jcx*=mz-^v`Eb)ZuhOX=$
zF_qo=YT&J)qc`FKSh#sIrZl*<;=@3S-(mca$J+mlwaT``k27Om-mV62&fpx8glgAN
zG#OKL<70h_22Sg?-C-K|WiV&xw6rq*#^{VhLK?mIJMRab0
z(GIlR`5HoNWBt$WCNv-cpP1CA6^K(RX>8>QN8$2-`N4lLN=8mjH%=oki>&w&Hb`|Y
zdJWy8Q_C{>@1w@5`Yo-@zaf18eN^7#t0G9lom)`|be%*~^*J;Itw`o45Dl
zXEdpBEvziK>Ylc4?%_fEB6|z`oESS9hpe76-Cc>N=L|!Zn^y^e5+LsQFwvi}f
zi5Kqf-chQ_S4u-966HAhsqlv3^~5a){RmZadO^Q>um?kngqIg_kL3?=wD6>)U1K9V
zmDFphmpp8^(-d&-y?{oWLZTM-vY+$5E?2}98GBe)txgL>T~n9|#N`lb6O!$rCB-Mm
z`tW%NM}-ED+4Vl=-DEo4q1zrpb|1o;5G5FjZ9vhPy|B4Oe{2AMm#4iLjDmQzR~CyCaBe0pi8A1M8r|g*_i3
zx7)TI)%WO^qBzq~Lm|MF>??Wr`d|>bg%V&_cQ;;U5Z$viOMKNkZ?+mTAU8>(`I9{W
zR$cS~6!!J?<*S-Fxf%zzcRLlK*Wu(9Xsp@%2|lS`J9RUz+ApA2(H=w=p}V0i#34Gh
zKpq}hG+sDKG4ay66XdIHbU1&IRKLl;ca%^2oreZ^4JhydrkxI;BZVSM=+r2E=$1bm
zfFS^zl5)tV!h`?)qcp@bm-e^~6DG*^8PzC`Jk
zWV=a{T5;M>Lrq)ro3AhT|-Mz`h{QJ`_f@+ex&xB55f2@`n`X{
z~G2
z6TbK~Blx&<1N87m7w>GI5X2I|L=z(NbNVdun+}t9=~t(Y13C(x4gtgAC76nRu~X4`
zfXdcx!9K)a*dY@Z6Z-*t<^RY7ptR=yRiExk8_jN4)607ZZKpd`4|lB?{=yx*9q-1u
zt3t~nePnO}FIib-0kc&ID@;NpTO@HJI)OpviXfQ+mm_W(KlXBvOv>)`#`eA@=RUPb
zpvwht?x+}o%^?Rz#{t;zC_-o5rzdv5nE73NF#Pd6SRH=0cPe=MwrAq#*93p@SZVyy
z%su?7=9;dW>gxEc?gMrxV%UP^Xl%)evVKhJ8zTAQKxrvrpB>@ei8elXtoE#ht>(N-
z;4VQ}Y4NQ#N^PQpS5ZUz`>8b&KK4&(2l{KCQ$JDkBqM
zy&tb}o?OvQ61xV>A7J8C*VL53E&dgBa`f}lt;hdS0)R4n&p*A+Z|85yy-bDW2T)1=
zP&;f^<9qEdujN)eGZk?M`U&Y-L9GoN$3w{Nr2z+?Ai8xQogl+z&owY3M1M5kkb|&(
z^J2X&<^88my_RY77zc_j$&aGCpG>1Lp6aXsm|u}$P5AwAkz9oO;}Cu{#z9_T%@k0CTZ~6LTdz_{Br9LTLsfe=lq$-@z75{Y*FDq~jZzJ9dC7?tf;g
z&jzs@Z9)BX!#j801e3XR`3GvdxiQSI+$Aw0vU7480)Q&YgFknKhDq1sp)+<)Z1Q5@-MaLjjv*56aBQ_y9}`SXP@~sagF2bbzhim_YZIZa-ys_~|v3
z!sG$D5ek+UAwU}&w>X<{4JzRGv{$WIltw6wGfFLR{T-(GF*ume
zhdC364*L@6PmTt9dtEF~!rM0LEIp@NNc}7pY$K-VJpdVk(Vh`LZbQ11TQ^Ris?u*v
zf$jMZ`CAv!uK;U7KNnf?3>)79F{fLf|DmH}X-uLyb(gFnrrz0k_c@;hm~;sXO_fpI
za)Uox6SEClrsO6eZZzLnsz!lK^vzmUqFv$kUw<#om^r^XM=ee@&5M)7Y-c@z_55rA
zx7misdMSu!UhZ;Roo-i`cPz5kmI1KW{?(^XR~kUC3(dgLAHM_L5;!9$YYwCg?5b;X
zpqA_D%249Rw!Rd#Fg3OYV6y~B9X{K;t%VlNHDU!D-eutZtmHzRdpm!U-TLo#0o_)GCyE*@MfKy;
zW3aDz>B-Kz%0x!v+(F$v);dKlKOEo8m<5y+zTvsrotZ>lPkrS
zncT2{^>kU9hp;)Iy!%H7$!lIj&n5BB0*J~EhzG7cr3ngzNxjPP?u;)i=K=4;K!|yB
z`y>IqZbjB7ckCk%!xu497BZ~Y_-G|9E*L>EGi+(#vDUFNIy=bzT%0w5@2q*HA@q8^
zO+`}{5U=-#+f?rcschCb!TMb_EO;%cH2@vYqm{vA*y`s0M)6?xx%oCm#c5m_$Tz~I
z*LYcMp(Q3){%U@7bcE7{_!eO8+P1HuA~*L!;+>4`a&!pcJ8>}XWhtBUE-{f2raod~
zg7>m}M@I{Qw#nYwglJ@g@5_Rdc{|`sYbJh=xxL~9Td>I%y
z%pIEMqm<8vMO_WE4q5sodHiQ!@07RP{bNy(rk@3WfEK3T;{aGFE1xxr6&GQSce1u_
z;SxyawESQ+OlP3XjjaX`-;1GHDR<#mz~h2*lV$im9U-2?@WpI=|4y&@!iHaHuH|1^
z8VFvWF2KjJNaFPXdn^%Mf`0I`6pN0$*@0);RZ{^$ByJN(hf%&a;lM+7?ArTegc1gS
zEe`x%-8&|wTiSw!puX*Uow)LWR-~*&(RcH0T|L**x&UdGRlu7&9rp4s0jURWMY@-P
z9W^c&veM?5TQ@cigvf0wSxYQ^7x?`GX0?205S>hzT2Ng$(@B|9Giloz-%qbbX<};n
z76#%a{`g2yWEecdUPIg-L^=nUVxsJy!(+Dt3z^K-?|faqu0C9yc4htAeoaQsBsi1f
z!0zmWOR+i+DGdF9U~}PDf~mRr`%_|-leL*j*Az~o1%BS%N=y>T<5mqjZi%EzRq`ra
zl;wMpKcPpEEd;EXtJ?|fV5^7rm0<7^3aYk+&hqbp@N^$#qJoT|87JBk^LolC5Qa3x
zk6VE6*A~RlOL2#BV&ZAef1Gr1>RhpF7ZtoW!Y&W?_1RK+r8@r8ymI~GgLA0oZ#%*r+;|(j=a43d3WA;aU|Ig`*qkVfucm#
zMq^!VkxRN#L46sGFpzr;{6^PjJGa2G`FCxm+O=otbd$$(q2o`meO>Hv(*Yq#XK()T
zrHHhBH+%7Jp0beRJPF84rJ&q0v|QSL00HGjLtq^!^A&*<=asD87QwDvQ>gDA!IjGF
zAHRO%#=D7=;~mlhrCxMS3hIv7zBp2C;cu6YgNlLL0?>`_{zgu5Z*CBtr5BobR7QFX
z39w`t%JxMf!opF5m`1iav}0H;5!F@OZK5i*X(j?uRZ}mRU;Bh*-8ve-EK@vGQS~$<
zZs6vXm(IUzuzkSqBUOJ+O>U?g4NVI+&J`~(;ojpe|2e+-{Pf#JJF63``x|~3jNKCy
zXQQ8}^8t&AMX0KW9;x29u!2_X>4+UPNcNKrJhSr`*gS*aiiyQ_;lLt~D>D
zT^8_1sTzD4cZW(UQy-tIPl`w~U1vw}kml;CDZMVl4dy`mARwxc`)|X)LGJ3a`I&pJ
z#BXylpG>{*eoV=}zI0EqvaJPy0yI&mb4{r;zqMqJ=|PNSD44Lt0Qc1b^NHi;${+;!G5OsecI
zk*;ke5}Oamu;EQU?|#t6Lmxeyj0`0YaP5kLc)wC(08ACVuRC{z?;#Gw#BcewpQ
zat{j$W*MoLNJK_kf!NX?xVg&90VoF>B{C`k7R2-X>su2G*s=Efa!j4S|ESb&=V48G
zm^PuXn|+#(lao_N_~(afd;Y+((}DJ5`==f9bHt_ygc|=lN1eU+GW`=tw`n_zfw0%@
z?I%?)ca@x+d^qHCM@dNnlT6Lca=#AetX0?uWqD7q0L6H_2aGNKRL(l)T4c`d6!=|A
zSf^q)2I?ss9N9Y^^t@#`BJet(-oIURagh+VqLw|NG=7V*t9I273Zm+tz*J`E=eJv$
zFq5l?u)}-TvO58drW!hi4!v~qN3KaFC?s_G;5rB$wi>peF7U<3K5+F86*ei{m~u){yTe+g=8mOOy&
zjy{K5gd-R-zMo%_fh8n|+ag;1*3QZ=B9ZgeHn>#3aJ-(_i6S8)uNW`=Ec>Df00M4#
z$sY@+Qw%(;WIcUa7U0YfhBr)b4j9S8P_q9o
z(9`)pOqPS_1Aho2Ltq+6VVq>%b)01a5IXKuI{wrcYxTL*No(rUWMRrf6D*BYk$aE5
zrpdQN2>{c(^}c`I2)@ovys&mj3B&wiKajq=<;NJADewp4=Fmyp&);i1-0UTD!WC1Y
zd<)?3I|OnS_bXp*o<~xrVc`89^=(EyIkzD5LGPjuI?TR9HREp@ju#uYeXJ*zZSd=W<53_2mEw%h?924C#CM
zb~|EFOQQ=y)$^~OUQP;=X@oi*hH@!;Q@yM6aobgHvM&8k<8sd4ET_h0665vAfFMT!
zjMVp{M*Hf1&n8)w53P!2ak*LSBDdp!7V~q_D1`F~%B1353l;>J_RC+yI+1}{^|n`T
zh62*{eQl;~*^{>aYR<`A?6!j2wNk$%z6JQjuxw)VwJC&ndFva!T}H2@Tlsry!}?$h
zx;6mCQDz$H3sLg(8XZ2s*&+ck)78Im#T!P2H`vIv(1J{3XHQibnAETSbO5|
zX6DEx@8%4XmTdbl{al0+^7MOx#?fcw>ff!DBZ0n>EPK<)KfDQ8PUI%>s?a?eL94R7
z@R%R%Grq0}A}h?F@CU4s4nRaTMS~7M_=+-0o0G;KU*Nc<_W>!bD7_3NPTaJOuBK+l
z)DuK!ZK6SQd5^5*k+Afbz1HC{!v&chL%0_(Wi|^Qi
zskUJN5m7=kLF_`n!Q5cHI3xF{JFlFuIpjfx;53r#2AwRt9qf};HiHEBR}Y$a4&uLp
zw0)(aZ#4RK0mxJvSxlA6ZNPUnK>wb*=g57)sK>w06qXKyP9bikMAV^#e@UC=qp8zL}
z>jn8TvUT7uEIEQ-TF`IF#IUAFa$6?I--{S?MnV<3^mj!?Nql-8?bqe0CCq!3JoK{i
zbpj7R&w)J91@mM=YjiVvY3n`xsKR))cVu1QR2b7YhPVsxJEQ=E9UNqs*mHMr30{Ac
zzw?CvC-)yutJUoM>jt)x>c?I4Iyf#%#Wt-2pZ|+Fy;P^u{Ymr~aLvV6YBa@0)q%*Bu|N2049<+l=)+q2l3%
zIkFuHNXO-@FFER+%3C>2hm5~4!q~MrBZ@Y7HB-Ug7$^1?Hr{lMnQ^K7#}V<>KVRQ;
zsq6EcNoP&sh}ALBvL#H(V@J}N^zY`)cdeBZo|27aDuV0vz|;C^KgyXHt`DdQsJ*`s
z%CmNk6PE__NA41g-Mn#Hj`!qwgzR?t%Np6_IhuiwBjjq}^8L_nSG7
z)veSTV~tl%6k33ZRP65K|G><5d*mL4N&HWE%e4PvrbI#dGXF6)=2#?hIZ&cl^iEkh
zwA&}&Iy$6GP9Yn%lGr#k!kAx}g;(|UmQa?)O&_UUJ#y8U2qpcStn$A_KoqD)Nnls2
zm)M++J6ZjX02OuZ{Y~yI7ZyKBuAUSR_sZD>sDgE3a^3{01qD|DGsYTeYllIq$|0JV
zTwumCv|id?op36eW6XURF*V>m;+&0I!NT=Ox&NDHcVG-go^^L-9kQfNj1FI+6g}(m
zZ2B)XLd-+s|Q=Hg`Vr_(gJTszK&
ziu*S!b%4E$?SojegdIS}Xr5hI=DrPiR8MCu>ebr1$nsXu$xhJdGNB|4a#YC%W-o1vzo{3jsZ;>%=&EYqND|JDaR~oF&!wSy@Ykfo2DN7a6}5v`w&IjZ-ltyGbw!w2-||3oDC&bF>bl@|!RWpo0`2nFBN=ja{)Lu<>%-_)&(O9t
zBhuaroI%*p1=v*Peg@6=_G>c?tK|)W0ESRpf8pD=aH8wo^EE$eVK0|J-501EC}dOn
zIn6|^md*nJRY>u%tcTGY*$^D|7FSm*yj&7Oi;eC7@yvO<>!%e)vq1kFWxOmecln46AXNQ#ud{9?nVg|Ve`zLM?V{jdZ}DHyR9u?7
zaI?*%){5|Ct}QO7jWfs`rhDv67jS$o+b8L1;TSs^aRUmI`in14R!=U)p{g7Ki#I2v
z%&$2BLrJo0oYkiZCoq@FuF8W&7jWx-sa%1DQN|-6x;)U}q*J$re2K0p8TotZ*d$h2
zJ@tv^@&xkQ{~ilGlgcG@j4LiIEMwZf>+vo1L)U_Ie9%7}9EMF;54w)-Brg;r2Cgf~
z=^1!wrC(mHbri_B%n%X!Rig+sN@#|KBq@tT7q;NXk|?iaWhIeMk818s3zDPtI4f=w
zRuBQg<3Dr(YA3XKOO`jJDe9Znv|o29F-~A^7#d~+{>f56sO|t4Wn|=!I4zJh#XlTZ
zpsm-owzmDa10>R;vY`ofJ6cImW9upk+Arp0P|W(^^(KD?;@9Ds=IS;{a`~M)uW>WfMj#g
zwTJx{K~x?sUq;ao|0ua^aI%h<&GER=6-QEy8uy#
z`5vP9-Fl*~-`=d+T(Ho00>0t?P)xznU=n|;Uj|H>^Y3ZBa0>|;UZau8w%
zreerYU~~~A
zHRp>v#iUIsaQ!0{PFZ!CH?1WQ6^Sv&fTl-;=s8k6Jc6fn77Ag~)AXs1psbQwS6|6j
zcMzoLp_f*8^%UbfyCHoKPtU(e4To=3xAF~GK13q)mc?GHmVPP|lYb(#6sp{-gwNGx
zkIigBvDUqN+_X@W#bgf*!_@TJbWs&Lk)^VYRWdHw7F)>!J^hDV*$!7PPM*~zB%Z<8
zaZ&dG;{R;`!}VtOV1EfFz0pmVaGNDCwDSva`Q(LXh*k9bWrYp-;0oLI_VDIe3Q1r`
zkg}(WgGBvomcd1n({4vSE1a6+~BMT
zt0LQ6w@e7!PV1i;9$_iEwPOB=5{bL8g3NkgLwMqcV>Z%z$W0@8YlZjCl1x3*2Z8rC1LSd!3|hK3AuEW6NLd?${DG0R@!BLFfMrs
z))Gb)6M;3osjqt9K1ca&G!_;Xo>rOpK2<`J7}Z`LZS7(_%-*XjFrP>jBW@g(&ubPF
zmGbg0us->BCGDwL^;c7N1k`|NaDV>zuI7-(io*AY-QNUYA&DAVa#>ftYAI;g#uxTE
z0&WP=Cc0WAH|87yDzk8&Crg2gdJ?p~qOANxc#(6rqPl+}=Y@Xi5-BMucc{8)v%n~`
z=XsiVZThxZb{DoVm%S?P*IiNd+4b4H9rF>LQO(FBDO?1P->?SP(tSKq-R;n&`%YU2
zuNTrBzGkiz7XIDv$yDxMb{95MD>}depP$W$qGn1JU7AvP4P+|DI?zQYZS_DO_N0-_ZIZVYJKSLmaveKdOhdW
zdI(rj+m|D)%eehJ=C(7S8rM6`6GmYBn1xyUJ)#t~_qP{dwYe
zTMqRQebqWMHHCThWiP<`%xO)n=UG|ZUo7fo{fvr+Zj_IKJ{E|1K4GKa*7|ybGYY@Q
zDu;+Py`5zFjxMi2*$qARNmA}8BSU=SsHX%PIe!8BbyPOJKoR@UL?VzUN;UCpHHzQZ
zA8L`3r-t4%K(^fN`&
zF^#`xpB-YaQg2OwToO!wKZB)9cKlRgkVg9XWMr9ldPU-*q=SE~oITmAb4LjBpJyL5
zV%39N#QgC6-$xQ7BseaEpL1je
z^^k$zq+;D09~cw<_>4bXyOiMUXKuu_CKi1tF7tz%UFvp(oeOmzhtasL85lynfB#;;
zJ497gl~R1Nh(6YMa1rDFOvYmOiG3(}IpK
ztot~!t?l^J#J;#V-(w>cH9y);3iQQleExl-MojuI$u5;xI4Gef#
z;u8~p&K@ZEnmmTXBqJr&_aNifzUKkQ{i4Ud(Iyx-6&?C4z_lPdsI-oS&i
zaW7uvI}&j($Ah3Eu$B?^+8@N1QpSg85-yD;A9MKz0vg>2qi{)Z-)3
z70;)evF3fM~@>G*eu#&Y;o+3zZZ!ZZ21p_~&#!plkV2N7sHcV4Ibp!DdUHPMP
z-WQbkEOj(^MbAvm@HY6`Yx#zf_DnsDMF??ER3qO$dHQ(Ul?VqMK%qyNw?V#+RbeXRD
z10-=*OBEjtH#Y|3V@#u8!xO2fx_QqaNzB65%bVDJE#ynHYFV){1B1??H8#y^_1b_p
z?>sD=7weLT%4^nH-!C^tje=kgY{|vd8NpNX#^1Jf5hDA0`bLnApxJ%gjf$k2^;L^}
zV>F5tzIuh1l9Kr4QIms#d(r~q4<%nb=C_AUlU@oPje-UK(5Nd&$!7PO9y~G6%rbrbM
zx&?=_+8EA@3Si=OdV-;6kD%BnKXk;AsBPmM_WL%oq^(xo3|FYk2Qah~F)6$qV->L)
zJ#uA={Wy@&W2*~``(buz&Q6B)#-M@DX*Lz#_zb5QlD~L953L{Ec%Wr6#wJA`d@-ic
zT4E9^cqYq$t!tl}d9omYRIMK!>xqwXhMy1lmB1G76>;^X`g#0s^)m$UP7LHEm*8
zSXekUpvz9?(l&)rGQ!Tz*0ZoWROjbqUgHUDjAes}GxTIpr{yRiYsDP}&`$q_7V{(<
zoad0($+@Q~89ITA6y2IW_ge)&yywe#02Zyo-dfg7G`utyS5&U{&i-~eLr%0bUUwRn
zc+~y%<_xMT6k;H~u`9|4C79%ul9CSM42;iwv??c-U)c!Xd7
zUL6VMx5Wt^LQlkdy5B*i&&;=u10WxK5~vM8p7WqWJsx=Q
zz}wfie1BChUH;QZ9|cfbS|KNl($wAm+S#e;>3I&}x-|3bVd|e3Umpy@?>(GTJ6ZTQ
zbana#bz2n#t8)*>NDxD3Hp>NuQ$l0W#>~$qA9|$Z5uD-vAkF&hebdWJFR9C#UYe30
zE7A+ZXzoTYBe-h?*Q;8eh-oN_@bZROY;0~NoosuFytwhKHou?x=oc%}$YkXo3@+j4
z-x!sxC-iBP8a~3|x{7cPR5mmx)EY%s((keX>hZB`*_l8abaPhkAnPRUT-CK%A0i32Yq?XfEP+v^2ky>^c43MS>?RCliY
z9$x&MPx9s5A694FI5^yIoHuWSH0TVzfC#SZYS`YVD?AqmJb&zGA(M+D&vMRk+rpem
z;&cq9>jWXOKpE@a&SmY2)dqaTA9ib*!F)PlnkR?w9I2t)+Y_M{H#XPY@9KwhS$GJl
z{|lYg`GSPG)!;&75(t7fgPya)EV9HU;#)5H7Cn{x4
z$tI73H$IhMV!80oq511q9dZ^a0;rLjVd#8Q4~JU8epfXCrEMVXQnqp@LiGj`s6+^L
z&UWej#}{As4%>b=_M)Mu=kp{9MLx!p({$N%f6>+yc}Y-rF<^$w@Dh%;PbzZ`497b-
zMqk%g#3zu~oZ>#%ZY-!Ifu;LqfNJ^7$|I=nfyT9b(6KVosGAQ7>d4c=xOGcQJ4h5>j{KP-REa^Iyg`1p-RoYVB-i2Yb963=)1P#q}HArxc@VwCqI;%Xkxz9B>
zet_w6&8PyrJ+1z%s|K7i_a7nHH-?Q?{27DH%U?DOf8F4oTU|A{sfn#2d65-DMDZEM
z!Y_?I>oXI|FtPf1i<>)fsW3bIv{u=pPQ%L`DsKc85vujOy&I!)i_fcB(@gi~B&mG?
z1fWlA$=1F>#JKhPqbqa_6pel48=(KpsKBFP{=&nH86kHs+0WA0dTDcpMT#B)n*hbZ
z$-#sxc=7TH?YC`3x*sWDi>u+Xr@E#mOJA{49v&VJrR#Ir%sKF*b6o<)E_a)a10Pc#-39G
zmCw@??9=0;6D-jsW`xzA%Qs|XWFnZUxeFJ-G1YOYi_{SLnx#xw+gEJ22rxvMki{7$
zG?rewaib&kU8t{LB-^uF`A%fz`xQp_pHqw6Uzg_RCxkkq868cZ6I6rY{y&&m%|Ov|
zPOu94H+i@?sE`bzZe&CYilJ<@4F#95SeqFa?$VMCK7o`=HiznGc1Ky%hri(OMh
zozy-JWX;X%d>IhxH)|KXIN#YgU1J!cyQVUYARz9(3wHHd(Gk=`w&&8!O0*I*g0i$4o
zdtn98VY>{Nq#yShS~rwIlpz#`tFi~Okh;JK^7#>7Vgw+E#cQF44g;DI<{zvYG6$>E
zXgQ+nIGvvJ{$;jd@~-l<igO
zLo3Pxhkt=2bIwL8CG}|1XZ+6=n0Z?HuMuYYuVW!GYrO7Ne`(0Y!-EHq@MqY8TsuBk
z)jYd#Yt<8CDtO8hAfbMKFJsase(`G+!rp@^Q0UsGB9nFC2gpw`dZWQW*#=KWA@pz1
zc%kCCuDcBLpeoMesufxp4Qzl~}yc7$hKgwq(Z
zE!XQ0<}e30;3Ibl3Obm
z9(K$1AbrYH7eYgImwOn!HEsaOCn73}98phBVkHf9e=oxy^!c`3kvS0peG*kA$oMQ9
z-OQxU2W*Mpv|yFbk-^K)zt>1q-I4T>DA2KnoA<1(HeW(TYc5-)JmEsYMG`CcW{^*wve9r)OEZ(dKh8^v`x`{I;Gq~#$x7b1?iY9U$QmAGp0JR;
zBRM_K%!A6m#Zum5?$Be^>ozwIE_zAY>yLZT=s
zV;z?bMBZU8=`4mu*1EhbJ*qQfd;HmDW~3QX!c?@>rO?W>r%d874B;|giLjggYhk$B<+wfQ!m4{Pb!G%ekBy$PuQLZ7(x^qguyDtG?mVME#8UAJFCFV
zaV*b(6QX8Iz?!nt%@gTR^l@Kg61Qvt2|*0ft2)li#&vXxWl@aw=dr#{f9UG!jOGH-
zz5CwLnrrhDAKN~sT?nmw4O-XdIK)CWh%TPtkPUzKK~LaKG;MZ^Jv24CIHCfTmy^H!
z-o5&s3pv6TkMVjWb=U1sjUuoin;^B1mcS@R
zS2t8(+heCB{7ikhRwo)b!Ev4EqE>|bC0*U;33sY2sdlzCyy}6>gT*XEh?mGyirsXjFPk(
z5wF3w`#P~9W-?P^fphWFd3-)j&UZJL#Qy(Kg4bTF;}7;Zz*|`hd{N-)QZq3<22$%Z
zM3uyAD*K>(#;v4u`oB0S{`YuXK;RkC9sC#6-lE_&g+Z-H!CF+@(==56SMTeKBi>rs
z`s;G~>|s0q)b0DML)mmN-5bL-UgALV;P*7mKr^JwXC4oC`jBLr0|@
z9ZtOiCr9=oR|`eDybBcF*AU#xU`4a|AsSCy9z*sDDsYX8$g^jOi-~;!V#6mulgUq?
zBZtD$;oNhdwQ22IP6O6LNBL;Kaq2(+a4E+^NMI5Z|CZO~ovs
z-l9X|Vg<8-bE6Z@cl`UqsJ%R4wdfp&_zT5`&kWhd_ya1=Y>%(JzJN;PLkUa_YV`DE
zgkTs9^SE%JY;i;JiW(aO!nv}$4_&C}jZzXow;)k`h7v3LdchTl1OQV_0?Td}g3>3u
zULKl2#e->|aRH1Xw=qXsU5T+*jJBpaGVtaNL|-jPHjr(F(YNr-vgjT~Y;8OlpT`=L
z0?*KOxskE_jplSKh*N2eE&i3mOpzv;x{Ixj(H#zs8L?
z-Yt-)XL~H!gyFe(o3rC4MJ#d&SAFWk^{1%HHpl{MT3d6)U*eaK4!QB+%iAlj{{g3*
z6!{1(`gQ$Fc2Gr2q+CXAolp&aZyz7%20|f3gT!QrQGN@s?7(E?_Y&v#73d(X-9n^O
z9d^p7+Fm;LP;VPn-VCSqat1~p6b@kjOEjN--SE
z>UnDjkP%!2a#k6Vfc;I3;EaHx>+J_Pg0B@sZ>u*223lJYTyioq0g=&k7_}q>lHxU|
zM+@?NUhlxI9bB0~T`LS~-_4~FIt~u8pc`5Qh2~X{;L0KDRzYVEjn{V%u2A%J&G>M@
zt*!Lg5P%B;Rn_FeLSzpx4ngqcp~&ukctT(yyvcd@XY5aXGTVSQfgrGVUNv)HmX!if
zo=3n&MuCH5PzH2+!+yGr`15R;%b9pFW4%||DxP1%x?k^xj1M$P2jDkX2
zLj%v!Z&~(ox;%|=!sh)dnmG|6A)5^L8ec!|@avB&p8@>`?MhG|Ju!>wPC%J3)+h~RsH25t2}|(g^nV|;lUWb
z>GgpA?VafSXY*tMNr-o%S$R`ZVj>Th`p?L0kn%*^24EMr?QP863nZu_%wj;1RYP<{1PMst
zPr?d}!@4XAS%9MG;O%uf1d{FZ
zC7Oxx@ofcL&5Z2LKZ$VMhb}m;sOSPh_T|tX|9P$k;MT8XJ9$Nks22p8wi1umtd;LtG`AD
zi*#^zTUdw`<1_c&O5Ka@`oFmV=;)=7BG(8=NWx^Yq~VMOa{(WWAVCX7bh;R#uPgTn
z6!7!H#9Phhl47M03waiZj)Xru+f~l{5(h^qRlTtaw)f!|cCEak+#B1QE(>kge>bPb
ztoGsoWKz})m3aoyN?5bAvr4L}pCM5dP8UR<=WONcn_xg?1|RY6?s-dqcohdxpKUBR
z{wh@Sju=r*S=;jlfZ=jYl|KY?&OdGXvI1Z)89n{X&+$#P0#@+?Y`puxva
zy2|Lm)#5Z~>cwc^&Oq;M6UHmX@ZF>oH#E%8ts_f!ujXCqfRxN;jq#VMxTI70SRLL2IaDLRgB>CIRww
zD_uJz{SCajf1OG{FzN41L>%4#;183@9_+e8$}YN0;6fi97zl*7Ne+P>E$9^XcZxBK
zpcV}TnhEwidNM75HWLYi7*kw0j2$aJ*T05mO}_ph2$BuZVTRBwdNy{Ze08wl59eDo
z6HI-m7U&P!#6C9ZrKP1Qox1~Mkn}h)*ZVNPoqDot?1BP(2wfIEgQRCH1m?ex!RfCxG*g@^vlmPYbED{l
zO_h(hg^9n6uv8n_HYk+4=;~fZM+ln>z&^d~wQ$p?Sl6fPPg^lZ24tPnI}PE7VnV}f
z8gmYytngJ8^Se+gLh>3CD1G;-quyY;RBtCJ@n40;}A*@mNQ
z@n>Hu3eW=VoTSuOeGb$2`ZzP;*kN7BpZ&LkA=dos>Tvx=iogl^9)KFY22r
za+gkJ+Mp|qweDIn2{=t+_1PjO4(yaQj(U*Rmou2j!$N_?zIw&}<|kIXj=yux&H4@3shlAyl*k4X5N|EWY=MG<%&Z7W%fO0*C{Dod1Po
zB~PrxFk*Wfoxut&9A+4Zh_V2MGJpR3DTmwUx?wFTbl@GJEewJ&DcvRauGuh}skg9P
z8NI-AqjGleVj%RCGdm|x%Q`R!-OrY*El?ge469``!_?83n!}Ku7^ub6c~MxArmWwv
z)j?%qzk3^9=#V`e45me2FrgKlBV8`~jb8ld3?FFW06|`A*lPL=?_xD^{9)T4arE1v
zuN79Yc%Ur(!n!
zVxaVuS%<;pW$F75Fj}6F-Iz9(-e49Kyo}y1VCF9aU1lSA}
zJNxNjJ!55=|1gw~*I8LZqdvE_rTD5lJM+;7zyaVXU}{uhiKm)lKU07I?}fbEhjkF3
zh=RFjTjVloWt#azrm42JcH-zQfa1vY7470Td}cD0{r7csKh_S7Xu)3VBp1mtwk2G9
zvLb$WvQ#jeyT~RJs0p){Kn(gLNpn`|;=>D>KWJ)ikbNU*+hV`?t%wo6Dx(FA+*Fqo
z^4c~9e817CdcZ4PIl(Q|vD%CL)s1~+t)k~nyH6r`o4b9)ByJlTX3IDD>x
z-Lkv$J7&8~o6zjfSIzwYl3qmqW?jge+TPtYw^;DtEu31PsNSc!d!^~_
zmniq+B!etzy(mxa(&WoP4o<0gr4Ja!YkEEN0C-XC?bbvkJ1v18Zp59}Cv*bVq%Z?>
zdhLaJx<=Q}qMwelK;2@*I!1he2%oZ@PYc&HyYqgQzFw1|b)uQBb&+jX5>?P=l6y^S
zO|n#cMpP3ZmG7!^I{y>8n9L6!K75IRs@a*2eXR?<+<2Dbo*CsG`&_(oa$SrV`a&SW
zMfZfrB02B|6d9g|L{VMWH?0&UMc(@DKM-_;5d3Z8J}`f6(p@XBfh-}x?_ZqTcBB;d
zq&m=E9lbL^0D}U7lT=^E;Lvb|%?rZm*VQQ^BH}3?aQuDX
zgGV&3YPEoSmb9TFpv@2K$Tyd6eEU*_#p%SlM}aRNN%f)qBTMqO;k|ByUzSiW39NPaDSW0a2s$U#fouJ<3mr5)I4vJzf*|gK-cH)bM}(9UW`Cl0sgF3T
zcx|X&!oD?Wk$>W1vaZ<|TD$n>Pa$>BlXaz3BdGU+LDNk}O+CIG2Kt4sR+V{-Xzdy4
z{-m~%#z-V#Ft>bJ6MF94Gq%3lQ?3G9H?>e89m?jow{N52iezDBHG|ZN4dM-8)6l7e
zXjKBTQ~?+*?4W@_3H7r-qo0AGtNr!_oAi%r?Agjjx|BvkBzaR0)t-nj{d=cd$PejA
zUsG-qT)A>ZzwQYu8n`++-H5(F-#a5{
zqHwCKtH)tA(i_dzIL&?Q)K(*}y<`?IW?)q)^{kU76Y9I{lK9vl6j*^LM6UPs{-=2`
zM#CNi8DORqeLq1zWr|9yXz=aBH}Ua7{-;L^z-PNQ*rxQq=EnkjrhWF44;cePG_#gXkqECwE@%g}z@gq(+b1n_l_1v%J2>$2g^>p+TCZDb92F9B!K1~qYVoXRg5gR6qeOzWqU(~jr9pQiKZ
zwo@`P#sF$h4K>37;85+vVZw1`#Fn0nlY(m+D1c)!UU3v@LQuDj#
zb5ID`+jyxi>oGCN!z=yN`_HpHQ4NYy4VI4W-uN9@K*xO(K-F)t!+wmJWy_j)2aesuw<321B
z({o0)P#oFOwylt=uN#A}y9U?ym=uOwvL9u`OkQUoS_v5?)6%{4Y2WC}D=Nz7>ny^)
z_ky!}>wp1TXZt6G7hNRUF63!gsmB)0%wZIquc|aQHroGQBR{;vCU0)}n&Mht9Ei)ssuUgfjb{1$06
zQcyaie=afJH6ZHT5vQnGt9bfld7uv&@$9vGFK#$IUa
zX@RZ`^42ksDh386;;c^AeXGAa&kC~Xpx{KKq*FWrdIR<^93Fszf+F+d$IIyWOO!Fn
z)8YF2dxjQX_<*%QUTJ9;c+s38gGP*82o^cas7_kuHy?d-)C!#=cuv&?W0Sm3O)DqV
zgtRsaT(Vw`IKI}8sHfnCs~>Gf!E&<=T>W8mTm5&jn>7S@c%Xss4FnZg&5ha7t0l6p
zk-fdx->JQu6gXH_uWmu}XbX*?-f}p=iET&s0ZC44xpWNU)j6vSZlGqHnVo46T|J#LL{J%#Qv7|v?S%|Svh
zYMC%{ArOF43xGq_e-DYk?o)j^3zI^kNow)p;^I7Prm3l^!vP}c{UAOLJwQ(h3418^
z9d$5WziFgdd4rBbVU@4(58@I-
z>rzV@mqMR;xCR-s=QXuJkE90@(xI7GLPyBS%(V(f(Vh{^
zurZ+Goch_R07dx@n1Gl5HJ|%cu2?hrZa=G(Vcm2-?kPTQc>aPq$``Mu%A+cwejGFs
zl1IOo8~=P0Lz`Nl*s0KQu0VhYj!~+-CkMYmJM1D<76gL`F${`z+q=bL)-Kk3O=-an
zJhs_;oXdHkF!%jr&fue)T5zRM!%$qb5A)z?#{kWqQ^f2I>lbq!1oq-?zck61(DO
zirU@2O^IagXqubrmvxgVXH+yrNBQ~Yh_E-PVJ3E`RtM7|2i?{LjXpP(<*
zwS5=)m7J-)oa2!522?v6`de$8*mb9S6wf;^aIkKPcEUCJ_U&8qusfp4wNLCsi_hGs
ziKE<4a_Zk#vp!Mt77SavICXTmk}7*SB45(SAB@-K6iP|?+YWLTy)
zM`q%ejt`F?a5k!3f9Uw`-8)qIfU=jRwym@k882ohapSnBHn(;kUgMlLRsfcx1cVCC
z-~)!PUOQqZYviO`OStu;C&`s0PFE@&sahL_cY`15_JiXf+jz@XCy5e4igmdsQVDo&
z_x}G8U=@%2;s(3g`@<^5v5Ejhp71=b*a0o3+)KGLYsag_WXTh;_ukze5)tt1jw!?P
z%~9}I52EPow7lT(Y)e>l|NSOx2Bb8;?o>%|Lyi-4V?11g6yPzj^~)H^!%Z*7!-_tRf;=$jSUdC1Lg6cop6{oyLU
ziUAp3AY+JQPoY)v`4w9D!BU_@1*XYSq8`hKf^gJV-?Ir*T23w`JkBjT
zPcP#CK`7a|5N9|WPXNbIl$J)C&d+={ZXI0)Y)0T0IvR1K6tNTC0j!Qbssp!{F%h>JTq
z*o>~aY1XbD4nvS+7&w_xS*LlJ%*Itf&Zv0wkK8U4O1OAB2X>Qv3Dz^ipjA{*ctNea
z68;hM@9|c17gQ7ul0r{+Ezv>2pS<^EfKU;akjNTaN3S?wr=e|(njsrm-+L|LBZ!_%
zs8{(VNvj+Yi00al9#F)4_w*mJjE##P4q>n0+R;
zyNQ{3W82{lJROk3%n}mxf$y^x#x;)~3dh%1g+$59=8qt8O_0t4Xdr?Bt)&)|b3V4e
zm@r(6l?zA!R6iowMXn~*wv@C|5Wb^dZF@hGol6FqZa_KOZ}p3Rmi!0PaVI1c^h|HQ
zao*o}fYKLUUz*yz?$VEU!4N@;n+umh$QYuls3OJ+a-Y-71G0l15KiV{Ym(Dw9TM3r$1r{I9)eM
zJ@J210i_}2?bD*8?JFuOG)+um00&PKb;pOc1CJr##DxNHw$|{CyL+;suGQhRwOZi*
z+Nf%~(sC%Q2CX)Or+ZfS2ufL=u;kVSuRKK=30TbNI{|oh8^jXh?PDmn{NLMv@pC97
zj1rLzo?BLXwePuZRhA!`HtN2`(_FyUB&m0{OG=CO^L)%lT?V0L`(6rq26aEIXR#0M
zr;8s7kuk4Qo0yp7jjm|~D4l+a(}yw0WvLu=fnnJ>sX4BXk`s^k{tf>!=sO$10e~{DKxbADGw$s^l70eNk
z3_?$iT=zT{)n4l6sFmdz!x4Z^{TF@4pY3gFH8sMse*x!IBoco~;hF%G`}%HrZBc*)
z7Vqf|oV7(J4o8R9$fzjy!{y4vfoW+`m4liR3IVcfzwcxf+}$b_YN6jyk13r^%OY)q
zZN0wiw$ac4$SoYQntzzPmimf5WEd1H=;$PNV^n8s(`fhqm~vihc8ar2RBZR)IwzuJx@54pH<-#6Uni#^?R_mq$PhRO^*HArRnmIaLRq
z2}n$|E!k-APkNx2I&wvQ{@SLM(rhTm=`USkHokgO4&8R|wef&*22xdr`ektdMjWL`
zAHA}&GJyT&F$DPd242<05EIa1dDHCcYksed@~-g}K*qMA0YzCpw9|a?;sq%=x%pTv
zeKFMi@Sc!B(`uS)#zTf3lQb%UA7juJ?XkCZAFecpz#j(;lq2%X;miFEdAL3GqKGtz
zcC&Q2yQS=o^98x%|`MqnYYL
zbb3vV5Tbf1M>N9e?jF~5%cWnxtl=(Ygr)r$B+{TSYQ>eHtn%a*@YJ^rGtiU54YAFKg+7H|Ce)4d#v7|*s`#mKUl&WvG!%eJe=vnZ^
zerN!I2`qSeAxNSSgvs1b(9^<7Ftr>4TlNnItygdVee!7XE1`3ZhYAqvO1mp;K-=VM
zq`!dn9YOgps0f}zT?d1oNqldqKk<62=JCMBw4&#|PUBNFa2!!Z&z)ME;X(x!XK^<;1yoL47)B
z+Op-ruklw+V0Q;kBmt5+FRT`sIeGML{?&y3y$1yk4Yumnc?2()EVKP)g%VWA(Vb)K
z_fizuGtoHac&eGYTlV%6F^M;|_P>MNoKD<}G$JAbeulJz!ws~B6hA-tqnWSsYo`X)6-LYdHDDSJ}hOw16@J6OXzGMsr#{=Kpnoj4JYlt)!{C-RVJ!FBLQKWKBAmk
zAyL;~(EJV0#KCtA{z+Vx`_ToCFRK^A1`JY3IknO$U4{^GhEv{CmO38M&9w!=J4@of^&HkJB8$f6}n<
z)hZde&q0xhY`zQ(L=5YmV8c<`iTb1Vp9Z%E0weh2slh)Md`e9$5YNFJd>LpVDnPyY^UC`?I0TW+6ZoY+aQaI^Rv
z4@t{>kfV_+D=i%uK3J9hpuK|mxBrIf3^e>-JBRZRO
zH)btx03$xPVYrYfG=K+?Oi~8kN5DlUSx!J31JfiTfJ`y%N#uOZXNFm2@Q>4;_R^(b
zII)m27MVZ0yW0@1Z3=?lL
zzygA8@vX$U4C;3KCTTbxam^OlYd#vcD~0P%KmA=M=xn_zqw7^-Dwvuo;R!={3nA-RY7=9~kFbX&PSjCm3
z0;Y(D;W>5@k-9&vq*{QZzKvS(hzz_4M}1*nLezU!uwXNrv+OUCZ?Xbv%MW4AY8jI0
ze&0;_TI>a7vot{j89|+Hr^S^N{^CU>tUMx+peas_0LJp!eTa%~k-KQwup7R`$P2
zOcZ9)p>1ne3*Dn{mSq=wBrCy<33Nyp)FyGvPY9!z49)GNV8u(o8=-YiMBE?$7WUM4
zGN`V?S9pzU%US*t?0LMUA5@jVSt0sK?Zq~x=gY4RvaUgMH@aN1lX7f$^&*DpWBfQT
zl{7X8iN8)^6v673^*o~R;V62i9G-~EfT5DaMh>2OnHtE2!wF9CSRlK1^_#N91cLm}
zjDQ3nPF@0S3sUQ2=ZFi|_kLY?{|LZO_&J}UI1dL9s`@qJj@?$gsI3v`J@UQ0oGv*~
zl?)zS1U`km@23wXp?c(=EdT00&&>@{=VfMQPK=F=K8OZ+LCj^(Xw=>01;f2k{ARBR
zX%vGv@Bvm1&s(m)uUxQLkie^P`bI`Gze|3a!+RBM@H32`NPi<{9
zc1O#~UXPNqoA~py2d%-8NBTspShsgJt#tIejOZi-HjmqjmP=7YKMegah_3YkgWd}0
zH3niEig}AU-@oh=HiNpw5)7RRr;hNeJ9)~||0l1oP!^Ktd+keIu;Gxb&jd|8rAW&6
z(2$U_O%DV_Z|m@V-oUy$;23@w|;fp
z*NDP>_ANp8Xeyzg9{-H$#@-vyZYf05aXyjTUy8>YfbtvFub_Sm5M;q=kN%^{!Drb`
z>I))_yn+I9F|{yY;XebThstn&VJi#4`3U2G7ePHF1Ee`T+&1c+Zœ&}Yf+=snK
zWF0%OcK=%FRY(5R3w7LZ)7!z3IWAmSuiGdcuIdt22e%`t00`Xt$OjfW(Gx(uk*jY+
zHQ?NlRZze|u6|XGYC8KpS_H1d^cCW+CJKPf|I-s7cd^5kNq5%2HDJvgx^CxHySXt4
zSjVc49DA~ep8d!NLm0qqSco&i@B-iIkU*&cn@%0elY1*JE$ypgS?{ynN6x5T9hJ1~
z?WvbeE8o2f5woJ`-G>5=Uca)!(&(~WL7xie#O#O4iA`T$-)#Usm8@9J0pE_z$RJ^8
zsZJ4XxASW!&Odcr|E7`__7i6;TRY#dqQt=0SDe-)KfmL(>5AJ+U9P0(uF0SM0a57(o(r$E9%7W4xmzY=qYDd&ZGz|&n@dlyeAZLLXi3^DH`+9{GJk8b)Du)bb
zh7?-E80~!f@`xAu-g|2uo!<;GdR)?qen$cn0QDyS2V8;&2tvrIV4+J**UXC@mWbfkGHaZWq<@R!gP(55wG-X;1(c}
zJh;l>yM3ozwmcGW=t>tW_ZuI=sZ|ws7^3hPgIlkfv-}Q*^;Q)u^Pz
zWwO~$fCf&@g{px5``FlZ8c_QbFiKL`l8f&sT!++O(1apQ)(p&=cc
zdP)eqriSIH$PcK{)4~??cw{42L#yHvWBfcd_4LBv6Ja8aNh&XKbLMJpU7#05roHE0
z!&nH_-;3oJVMlBNhym0LHu87m$TaZVUFZhb54P_JzPvtN!Wjr9CInG$FerLp_oHC*<1n>JP9C1
zThN35OCtl*)aF3k|HLbfxkBpI(=N21>+J-&uHEh76KI>tcc68nzf4u0vAyl=@o!W6
z(e0Py;^jh5Zk13)N)tI5|qaSiVJ#tSIeI$ahwV2=L
zl%~`BsvC>`xa7v|+euMf7kV4;VhVAUq;O(Hdk+UdjzUIuZO-Ad+expUvN9fb?#g;r
zdx$2KRV-AkVIgbxZw_p(TbRxeL#XQ+%nOZ~{Cs%UP`
z1l%(QlFMDd@(Q_~|Ea~tEASSLmaZ_g-X3E(a2Jbc)j!pMny
z4Np|)@@^nIk;=KTO)uNkv;<_UTS2rl9Q9%W8h`(UW`v~FsU-bwd+J3=iCMN0dqu*#
zYQy#j55DvP
zt2q8UePaQ%$aEEfpOa{=!b`miRbkPgR$3{^V)d?3$94R-ib_2U`_52eGT|)g^Hk=d
ziP`oiXz<_B(SP-Sb$c}{3rkt?E%sh+v-tTn96u`68#gN_UV=d}?p>S|3hMq>G8jF$
zUCpQJ{PtS9qHEY+kn+L&);AJwXVjbA*HT#Z-^f3l7keJ!rxEsJm3c_!|OwAHZR1H&A-pfFvg@KGJB(OBJ3SAJm
zY+o}Q!4xeEdy6-E36$Ih@9^r}tKNU1ADq4>0gc>-Uv=*Hi&$>{Op43CjW26Hh!Vi|
zidcCHi<20c&(~BcAxx$S-J1T^354{T&Z%yG=F;5lr{3Nk2eM#D0?m+Lsmrwy>cLr=
ze}W}v@SpKOAp(*UyWX%cC00#CD*|6&oQ-{VCNi5C)(kolyB9NWM_-z?cb0cQ=PgX?jql2_QA({4|H}
z>YlmDL8QZkNcB)-419PZ~^cj_D>7xk!Irl7H(x6)M4o5(81%{v%&o^XgL@
z69TCNnGL3OA^^SwLkA}Oek>v^3_KVsuVh@_T;M=X=FU$UUqnVuX#WMi%@pqGz9xUL
zBp)0s#iUa*lqZ0msNx1*m`cyKj=fMEvu#HGK<9HpP+~DDEJ^|xvB_G55T?CAY=`Et5aD@
z3o36IHyydRJ{I}WE!oWwDlAfOJIWvL3uq{W+!|lkQ?Io(RP2D8TJC=zf`wqvvG=V@
zp}7X7B|IqPQCTjn8p&pPOpTf)BGnf~_l@pCVM==s>r&TlUp;2?OH~Ac>H;cG_2uxi
z$moEl<-h5$1Ig~d|C=40@R%|0G0KX%6J7r>bH5TFg2oAr?#-;Pr-5#qgNqBZ{}1r1
zcc3_3SXaGmk@Ip%7&HlVfN@|TITSPPYIyF!W5>szf2|Y5tl3&Ve*D>#uU1~2UJt!o
z3gMsvqy;vsVSfH4F*>H3DPo2X!2=HCY(Q-H_^h?NEV)_w8--)t&Yan=aZh^qdn}gp
z8KXc-O4t8xop);dGo)p=^!7^B5DxF~`hoOyr9a~$a=?+KlsVbzLHWd#QTQDh!UvHT
z7jSw4y3$nHq>DkMPsYf2cTd>T8XW%DG3sk-b+qx|GO*3gUI_G3bTw%7EvU~K-s%R5
zUZ6i-yd+2*HB|dp=G&E%n>=koz1ohb&aM`OrgG6rzHTR~dZ2ctp`k&LQ#b#TYQG1I
zi9~z2l3sxl=paY9Xh=>OnX(}xf%oL(`i#-tWW8)PCsHsl=Yy)=!cI|DCftt9F}S~^
zgc1y4O0HgS9}CH0n0^o|J-ZMhHqVKnVhLmbC?OC86DXJuwDHlcse|rQy8GL};kXn|
zX2|)6R0sPUYpoLc;6wIFk9Tk13K_FP=0hQyy+^AY;6K#jfC`F1f(9}D`E-NlIvM)6
zug#8|{s2V)c!_XP*PC}Jd1gp$4(Lj+v9n(ceDrW5kmn3u#LYXK_oClzZp$&iO>M@f
ze_1S~Zq>v7F|M#Xd5U4LFZ}d1!SuNZUp!jku0w6i5o1tG$m|OW;`l(XA@{PgF0Bb0
zs-i#hPVR41)YR;E|IlAMF_xnN^?SKP>U)L0(ooj;NgR{m8#Go)`1rvXxpy<34_fCe
zPNV~>TwX)nssqJ%6U{UxnRN3{WAeB@-mpxi{mh2wo7mlaot6
zCvY(I)+=JrpZ~tb%NrAA;k!JOKK%xBSUanr1QQ{o6CNn;ITVqwxCO+g$3;zH5j?3m
zvh+8D|Xlo3+SkUk<(4JIRG}(Ictxn?T?~cFBvV)B9DXEo30?
z4>|hqNYMyRaCiwFMBS~w4m?TZ<>l?^7S!=Hec*S5Y)*7AGz^0d`eVx_GEPX&pchM)
zI1_2sZ?~Q-y_qFM%LsvTU~Ibvc6b7d>e7k=yF0m6A+^ay4IZstg~z`R2Bd9uZ~~KC
z$VCeBZ5r`bRmDDRXgtsh+oqqISjv6tjgOCQ^z+gxXw3h^QCjZZaf;n1eeF;9_DAyl
zL*RX=g`G3uq!1
z1dR`+2@n7M}Qqb0phlfG?!N-EBT1G}h$ad}@&xZN0
zRw0}A;{Ut>nx8J2tsTCU+4h0L;ZQuT22Li>w=n|~b+|_){J=PZB|<7_C}XQc_EDrruhT@JXI%5
z1gt}Rpz;8SO!6p0PEH6WHw&Kemuj{vO_nw~1qe#QD6Q}~QkfKTdiuUjor{U2W2j$J
zu!&v#^^ku^_iJY{!5iNyOG~62aUNGBlD`puTA_aGDwCr&j;pCGq#+u0E0yf`&q65-
z*z#1d00`7m{Jy~@|D)L3R9jOrv)oESMdihRe*;q^X?IEfC0
zK3GfBLriw4g}-*ZhOJCAB+~TY)!>h>oUo>Agir<(^{@JiU)T#$cU#FB#*AhRu5TZ5
zWd+uNS>YwA2$PE@r7e>vG@8?X|7K92>#x-<|8LxFvNKHW#D(g%Oz#FrNfCg@Z{E5U
zmzo-hlCF^Aw0s#tjEYhWfGr5oH>!8TV`WWt?1(rs0FQbET^vDHq&So8Y|!sM_nWGL
zPpocV6+JX}ERdv3I+
zIg$;H6L-0A(7p~Sn@Jx3w=oe6lj(JqGnb>#wh#aXRE`D!?tZbxcKqvy;WLBN3!)HA
z+1?2i2Q)X>c)J-R9TSqj#;Gz&OL=Mat`IUQm!B$6Dqge5Pc
z16CJ>iJO|5z~UuWXKefj2jN(!)&Fx-kw82ie^0$PYGr&}A3QEYoaZInN9P+ePu)iL
z>ZG>+eYLEJ4`pGw7K=@uOd892ZG)-7^p3P;zUqw^#i~x+o1;%YbxpmUwDlQWKfV8H
z)*IWdIy{`IBD|uTN35He|5>bGyxPr#uT3Xs)PEi+#FNV0oZCDVWnb}S`@(W};PBhm
zKTjq5nd>fCLrH-OI-xkP>)T3|^b>`QwhmjdP)OXmV`asLUc2OxlKbQtxO@yT1
z(foM11@%o!r83#~8XpF&o%<#J&4b+sL436hI8#BR|DOGN{wLB0#?L{{jgpTbW+oTA
zF27Ly%u&%5lVY1b_%WuAgx6;5Ti`$8`aqDI*-QhGU2|BR8(wAl2jj1j4-VF8=|=?{
zKnU{|a?F{b7=hsh*_}`i#{l>kK@&W(y;DjDHLl!$daV)jj+WPsLUk9b-vj#r1!dy6
zS-8qgJk7|CAW%QxQx(8c2B9ZDlyNdk_BB&cFp+$IP?50%bZ!K>!x4b30LXED-WvPM
zFw9y;b)ovjx*H`Wp{&1xNQFrkk;+o`!7zY^@26~BK(|J=T~!NDzPod>m#WM
zv589Qhupy3YbKEr(?NSMW_dsoowdJYVd4!k_{F6qEdXg$Qt25=sSMueU4=exK9tH>
z8UoM9vtk(~&yqTtgRSXGYzRp*5TxReAX-pzc7Y`k@mopv1P+d*#WPFP
zWwD*;{R#98kP43`>A^HD)L0ByC2G$=dz*ILR8cKUOO_8nX#z<^$AHlG7VKD?JpKD9
zpEfRLHdRPw$-@FfmMAWdNz-(%YiClrhTECEQ6RcdYiy}nHU(S>H;VpPJ{e-pn;yF;
z!G|%)546fX=qli+Tny_9=1NWf+@GfkpW-?Y&}~OSb!7jpDz{sUc7Y7@;;UZlSE^Sw
zrI!_M&Ww%~Jzy@a_6VoU%}Gm7uEZ32Rp$u0ZtDms>frAX>VVaPo;#a6?a`Yg#Y
zPy068YIA61S9miu$qga|Ti%v(~nD@O_Yh~a#t17lDNS}h}*W@eXbYNVdHjK@QX>FGC$cwe{E
z)5-O8bT#jS78`Hf$u!O@
zmG~z3+QpcMH(tPi`lLWw$Z7VvIbTmJJOIu)gN!&%DRHBRQcS?`xjmco!yK1e7~T!A
zbw7Yq{@R3FeJf#U_fG81ot;u~h!Si&T35R)Ii>pfM5^HQ*N_HLCwd|7?hSZO?Tf>vTd;o`wO{$
z1nV!Ai1FtHqQU2b4Uty5fdv?_I`2Jrz**#@5E4Nh;bxOI
zX0la=S!Dq)r$p>`t*ky{u^lNaMlM(uiXa*Xwh%#byMj0G--hIjCztp
zI0YO(6i(Mz{`qqe97$ckGNGjyoSCN3H=}$uYEl`u7Zm^V_0|Cx&R@R3Kh(k1K5lPs
zN8P1}FI9biPa(RT2`#z^*8e*Phz)J1jA`?@_ckW(jY~9H+JCk@J)H3_o4g_2gkVj#Z4Ru_ht#NHa#T06E4eQr{I2U&M5TmJvV1O&=bIsy))%eE)UeChpWw&#OM
zvOj#l$uhX%p+OV%EkJ=J`tjZLuCtVuJA`_ddG0v0{?h$D=#Mpf!d*{!_+0)Je4TQz
zWE{@FnhvbG{eriy8IU`~aBN&k1))r++6dywg8&$4F)ud-jRvZ>n{+=1YG%H$w5bht
z>%hoJ2t>ESjxz&p|JOw2ibI!IL;tBp?jM{@Qjwr)4h3-+-a>bpDc#{
z@N(c*)g+|jx2*VY*JU{V_V`1@5OWb6ny&{`R*FxqQIpfoT*<=js9>I3oc`yk-gI_k
zS8K>qYq%!a!$?jZ1U|UTbK^ttrPwtP-&27Y96^F-qCY(c!G|q-6wc@p8?F!x;^i>s
zlN%|j`$vr&66!H)lNOGS{o%bS$3C_ESZ`Rgl>Jp(n?7qH8=xN@cl~!SHG-6S{G$Uc
zcy^~9JsUL0Mbb4+z@pk2$=ehTv0bg!0&NStYw!=u{ajS1M9Y8q}Y5@vb+Q^FxUI^@!)``l;F5vqP
zZHcbncuerYl%t)cs)W*({HZi@f^7>ec_F1?c%u)pfop?ERPHY&%S9di!u+
zH%1DONqAd?2fm<~)x3kIQPQDkY?YT7bn^J{$2O3>E$n#j#1y{Qk4y0TBSwC>K;{)M
z@X46bx%ITF=#&?y!;0FIefyN49>!#}T2)5Sk;T=+8FUHM#aM{pO`+Bf$-8oQ-jA(g
zAR3bU2Jb7UFr=v`72IyYw!0jOjl?D;jV}IsNpl+?85rj{`)Q)4_L7hA%kq;2+^}n8
zGs!>KcEF{yv{^IP`GS&r($D04Z3opPfseflwWSBZ%pr&*BSX-%i~9FOZ%PCL&U_cD
z+rQ&uaoKx7yHA@87=TK%Ve3K+A-Ef{5JCoV;qirPYdF7!{ZE7u(}$rL7UV%<
z(veEaBia(g2;dEnw8DmlW!8*E-j^TSKDny;oAnfOJHnx!#X_z-3Vqa5
zcD40WCA`FjzYe;^)}@{Bv#p6)5++s}fGo-+htax-X%CcN7>KaAvA&@r&Dj8noUvIo~sZEGx`u$GN3mIQW356n0;u0F*j(A=?~;VQHEj)l-_0
z3dSViK^l&uOMQ@W%wj0jlqZl``vt<#SlEjY*4Ju787;yVorEA0zldxU2FS<03)_=SrY{L}gX3e^K|@r~rB3STI9;pNZW`Vl
zKuQh~*Fn7j@%H&ie&qoi?WKBNuFdAz`&?k06Qn)?Ic-*1S=kJwVXG*;05H*JpR^Pt
z&LR@!{(FyL*RiMgUC6&^`ROk~y%LQ+hDt@|s4YJz4begx3GDAJEN={8bP2Z2ootNz
zRek9CYeUc%q~EA+Bfd_K!Vsd0l|bJBtYlA-AT_;)8_8%S{pC0=@c!bhFR~GIvQ}(m
zNEr?9^%=2Auj-=KZl}f_9FPZWLkd1Nl=tZQ*kRrZ$%awr5z+yD8S0lJa&d8SID>GK
zD&2(ig@px~pk)stz{K!CiWE1FJdbxX5Xw9xwm
zz5+#od;rI-Tb08rrf%!siAbbQ_|QQlur|he^|n3ENUfV0rLVh_k&zWRiLig4>%YM9
zr4w?^cYxG|yHN0}v`Gd7mP2E9~<#Am}V$Rp~eRK24R{g1W|L&yFntPvKp;D`r?}2Re1xueqj*{G6@QjE(0N
z0XX!`!>);b#E7lg*NK_4x88-=a)^39y4T;Al1QJ$w%nZrsQPu{(tf&B(}o<}4^&W8jHHIv1D+n^fUC}6ZQ-IcHCsLCdX?|f
z_r2zqrM9a0RDi=4H%odce-zBE+ra95cC1i2e
z;KKX?GQKa3#Th#=M|2)^fzLp026P9M6VHJ{ENIfZ2MKiM78Yn)O5_KHaS4WyYKxmZ
zWQQTopL-lM0Wi^~)$rM!2o9htP37#r%SRHUAlD1X?;#)eDao2T0KCM
z_{bdp_oJhu%Lyz08MYzXrRog_<>xdJ*D`3Dkd~t%mFpUJLp99#$vL%r3cH~5jsmn~
z9%i@O>>Z)L^1pxo>IUektM_eQoPNRn)(i8l#2!VXG4J=E43Ocj43-%Kg*bE2Jz0(=r|9tqD5cK>`@Iv@{^nf?>H^7d7?;(cs
z0@BRMEpEQqhCHFUZB$ANQ_;+!%|eyZa6ucWTN>9oW1z$Mu(%|?y_JZBiSp*antH9i
zf2A|y0|v6ILPAs*iRl7+*E_bHK|g749a
zN6yCdtc_GD{ML#!EUxMvncK>+ae$D9Otz4fw?4$MmahYv3R*g_x}uU+)UAm4CM3MK
zns0dqApTWIZ42Z|rEef|f1Nh+
zG*w?CtP_AP--J=Fn8-newj`crsX}lHzeQZV`z^#2ssju^)o^5vAPOx*;ZE=F>5&0J
z57;{Bh%cgvAwX!NLLW2>ZwH(!)6N0F_k-}fWogG0l^ug03Fh{qS#D?)6_jD^&}6_1
z)D7PrQ$_(bL<3f)n<~sX74@A1ybv4+ZRX|kdF2>ZuLuU2?qew3hu#cycaG>1auc0V
z53|&qvKM^Vk{SCm1Pz78V&mY23~Sg^xV2ko4|TFg)hsP9kBv@Wz8ruK^$j)7)V>Ad
zuNxtV2ni%n?RkT+;$zn7#T@$poq)be;5B{k*|kf`(z7{tb5;kI3M+e{U@@4J!7wwQ
z_T?phA(6zRA=#o2ri9*(Q}|I`!LTG2%exq4EiH4#&Ei7jz_AKLavK)@KmavJXz2jM
z+&P{*XJGXEO9r78zOt0RfQ?@8Xn<815~wl+!mmb{UzM-~3m+h)!~6~e@}hCfkn=(dv8G!UwN7JT
z)<@HQP$QEA-;!GJm0$}I+?RRWUp{$HL$ONeznhRT4<4P1$jQGS+#E{b7LnZb7?(0x
z#K6x5cw{@&&=`nVA)pL=Ggs)Nj;?uT9_J^NP1vLCfdAijj1lygzjQ+e4014wyy^QH
zIAc&c7D+@ah*%$nsz8kif#4BvP?ok8|xDCoBq;Z?|njy@+TNj9^|5P%f@h=pT`c-HgC
ze`BM&B1|~Q^TDN%J=j48(_h$aqXOgyNRGX}kBz})gN1kl(6@N17)67P2m|p$CC@2nVIJ67iDA&HT)AY`UJ&K5)Jj3&3F>zX7AIiIro`E)CJR_
zbHhwq*tt*dcgeY;I`0#`<|9hf;sUk}fU?14Z2=>x(F6>CFr)Qm_n5#02(V#Yc06BF
z;eeh~LmFBis$hXnd!iRYqpC54K2PNJ~hDy5^xCe1CYm$Arrl%>R%QpHu$%8r^Ygh>2KFbz
zH>_cQse=VMg#mF!)e!4)lPj}(R%?YbU!5}Uv|}}l%|-6JO841dBVE^r={q+^M%F}y
zeh?xEd`(1&%j?;7?{tom>Q^L-ku-7uhGQPtzn0@u&pW5@)ZH8_x{oYw80@(c5wR;t
zt;(+Cizy!zjOB%x#8-AX3*0oR5lYGYrroAU>SWySA4pHTAy;k*bWr;YPNDT5Q@h*6
zWz?!ng-}#+qo{iSc60^~3(vqu8<_NQf7BP;$~Y}`I)9xaoqM_g1sxX*td_lCkKsC3
zX;m>llHCP0d9(~B^I`0it0Wv96-7(H>8E)9M~-QK0W<`!DWNyofBZ!U$zgG>s?5@r
zB9BKP9p8boUZ+=OB*7>EjR#KB`uAe^Z~ydmOGd8Z1?D~l6A@YbrDgFhOtFo
z!Dw2arPw4*apIL@yV|uaSgCCgs5R+pgZVqO!bDTI|9*MIf_(!{3r!p^~UGj#@Stfu5Qm^CKe*={nB}SvI4EFF^P(p|{Ov
zQZW95YsFEI)o)lTelG|dR8ot(mJ`JzulX15jXmXJG_K)Sx4tu0y%_rF#7Q+#*zowG7H5d30OQ0p>os#DvXuW4%+hgaT(t#){yzWy3)S3p>X>V$iEjX
z59qDCizn5(N$7tN}}>BAmupE?mf+QESvrWq}VNJw|Z}qTP$W
zDkq2i&r?KoCMYgWN4T|h1(Gcj+{rQ22dCkgQ8%AzWCiv^#=4hwlO9JQ=>>uvHL>mN
zS7y>A5cE
z7!{Fs*tzRagS4SAQe05}LRX{RR`9gK;&Zsp#=BGok1+NW3^p0*lJe*&qf*IU(>P&O
zTU)t4d1l7Ftj~r$$UN%y){|F}^XcH^j{?`d@7Eh$9i1AaWH6I@q#v&LK0dmJx<<@2
zkR!q#PlOzK1r*nD%k-H4#66wJ&!MYhEO7E|Jp71;lxiRb1k9S`wr^+WjTsacJ_n49
zeA0iCM`BWcN^!rzuu%40iYLqRT8a07l{BLTSwG*Y$=I-N8*@Z>kOaoZk#G=(T@LKq
zd4*^63=E!=bwA;DzS5_1@^UGKJ!VLJ|LwrGHWQ-eOQZPu9NQH&JOF@qEJMo6twosU
z5|)>v=v^KN2%f3X#fv!GU*+ZzO;1?|o)Y$r@SKFk
z=BC21q&<<{i!pTvOfPcKnjy*ud$MP1L};U6yhPf0l`f%HDczP6sMC(&g)7L#iJCif
zTlL#t<$qIWkJv0BA(7laM{m{yLx>;*-GjmC-`O7Rl6*!Z8Q5Jh%Gd%?xSGL_Ir|>i
zIPyOth=w)d8WHshIE(K~FF3_<3s`4^%OcDX2Vu}4+Eu|l6K8aI**#lCqIXh7HFoOy
z^cFF-O?|$VMLrrf+|`^PE%Lot!*HztMn1(Zm6$)00sru<7Ugu2fO5aB5232MGe)iqjXoAuf$a
z4*&~;9{1c9DrNRtuo*okrFmPN{4xvBMza|Z&vqie2FhpIoctG0f?jQN-nLT+G&Zsq
zRF_h!y$hpbREhfZgk;R{%q1O1k_UwPo{A_w#N+n1>rc#n2s~Z{{tiUJbHlJ>YSx@a
z^q_(rgRl(Q27Fe`D_ut;DHR$(YZkFzru4%{_6&hD^h6DEI5ghLMZ|(?1v6(P`bpVw
zev%_XcKh~q`)+Pzcg?Rb7k#xxS-WjJCU(gg`H#QU&1vQg^<{&Hv&gM^hZejQQ=fUns#J%kI
zt4yYFgf)PZ9cGnJPnf)zYmPBX+2vwY<(Ba5T6hrN^iIO0X^vMjRRO1GDN1?@VOqkM
ze^eUtjKUo6$Yq(@aFdDJ>Gl)B2P|{8+>**B*Q3e11z?Xh9ifriO9{Jjey;uMda)cx
z+_6MoSy?0e6bi{}I=Hvw2}>M&fP@rZpPjhy%m7;zyCu9n7C1YwAgamLa=#_w)@Zlw
zf>HP;jhyo8l
z=wTXlx+7ql`%zBxK{Bk!9z7R~`ANoikh+Nr30&Ei^YQfABQOGf$RW!1?DwzR33u70A4h_)R`WTVDEdw6M><)9U
zNlT~u;$7bBYM$GXyeKP$QLlt9p=8%*}z2Vzl&CF$T~hZp(pd;Tp{qWAo-!9b0UN_w_R(|@`RgpcyC{TTcgE8q
zmA`(C_s~baiZYX3^YP0Lx}cMy;bm7}eF=IdRLN<&YOO4J_XM%BQR;a`pA$Vko|!Cvc7U>4jz=CQ3X?E&xE^J3of6A@Rhe*c*yr7U}E-}U}i
zG#SAzA4=I>OZZ4QnUny(pax}oQqUHHh!j#20n?^`Mm-J=PeN#!`)x^zQZPabOv@I8yJ?F~G*2KkfxccuEK6o7-ayF9#
zwPd!4x8|HHH_#`mL!LBkot=>zG|PJ-y40y`g4#nr|FgcpU2sl6ddY~GwHhIHxUMZ1
zCa8NIwI%fDh&eCC07)Dq$iZj`Xssz{6zbktVM%>2^*T@UxYQ-r+bh#Ih{{yjJ>
zml<0uXn(ScAAE%L4Avnge7XnN8oP!SoMJC56dZOo07gR5P*&ISy1qO@Tqdw6y
zCfZ!iyiwxGOg}4SPE0?ruWI
zf*446G2~T#vi`-d%EEhhr|w+lPTs@F;w$)okBk-&kn@3dD23RZw7LF#N~rhC&!)n$d9Yj&
z+Pak!LWR2`8ZIZIQ5k<%lEhfHl7mCN-bvTAet&DKIP|2F^9pdY9*yPo>+FsR?1_BH9#6)Pzv^l>cK4X#CX$
zK#{yH@wM!NavPoP8Sxmd-x3;pJ~a1ql*nor)KH>EF>>|98fy}EV^YdBUAQFOa?q!1
z)%9={o9-u$b=U4KDek#$o`d(Ac=0exgp*oR`v>|bV#`r>J$mMj3h_#DNA=#_C1{C+
zpoiJpj}5j=`XxPXY$W|bk0KwtE&-Ntscgp-!_F9Is7)=7m{oJQRtFR@_bXaxU%?qH
zhi=4AsI?K3M^k9&oxW`Kiw{pF>7w8yaJc4gl3FXzJF;;n)n=pSLppFd$@PzJAL$7}
zFVk^r%y!_}|0F2qx94}ZwRy7?3F(gb^Wy
zSgf4mZ4~n|)84mHm?;l~JOiM5g!YU#f`H(EGx6eWwuddBujDg|Wo`d`T#koIT6GD!
ze-r|P7JN@iKPR7K+DUYAn^2gDhj(|m)i+WIvfBdDt8hNH7%Iin8t*^wcX7Avxumli
zqLtDWp(;H#jp=E*r$sqqwj798(B-i?^SUiO#d9^e&(4t87dlf^#27!T(#=CShl|I6ZyyRW7T58Z&X!lvdJg+0QtUX>?%_Fvbq2D{kj;NC@xIO5MNgr!jht
z`JRp`Hs9puI0L4Ve(4G(Exz&KaGi6SnwoA{%&SV?bKVYDar*w@X`Sy<5mPDmO>09w
zTucw;E~;lD5Zr{`Nl)Ns&`+l(Ap0oL)|L9YdPAVG?cM=Oa^q>9x9IkTTs(~2_SmsJ
zgL66G1Vx44uiN3ZvGMALRRoFaalpvPF90ZjSOtk4uNi#Qy61>_jxI
zSP6}y-iv<-Q4e}*5&r)(mQd6A_yjs!lJ8p#eT&puVtE}o4dU@xxkPC_f_U6b%CvPsSCc2fM-2cl_Ha5)j$xzlotP3(C9Q^oX%
zx*spym%8`Ovq7Y>ct%DBS^0fo7@{;W8OFwt{Sg!gF8**ZHX4(=WRDk1x(*P@P4>^7
zeo;gZ-oQZV2hgN|ZscE&;91T7@&>9#l3dxtXHF{((}yNf1r{xWP4BB=
z8xHGq(wYQH7tl)*KAtLVQ5)G@17PAwuE32r)#zAu39p;-tpxP%;_t)lyXAox8RX|0
zHbcgOAb_YQ-#)~ropolSa+Zl!1U(ibr$RCZX7
z>HuHAZr5s
zONXWxGz1j0AcUv)AuyaPh&x%-d-=^J8WLL5oXF$c!|7!Lp+kBqugOP}}1bq5vuT
z`tetX-lgzX!@a>s*V#Sq?%2Yy`VyVc_n##N7P+Lw4w-_8`22gwPWv4IQ9}OFe(Qq!HXh2ZiFfA{bTyNAdJ}aa2G3-N(%Idv%-r
zr&bX)^k%Q*(#^K`28RG)>ToK`64?K;c$KIpX0ypgG=!IJ&y*FU)dep2rvCx{|3T3}
zx_uEfw{9rTp_3))GZy}dtdSDqNY1UeR!H=+Ujli0dHfxHNT&6nltQJf))8XM<#w
zne5-8l~(tCYGC{U$KnzFUoI;jhK7dp!}a^Ng~xmzAO(4F%ZL^Gn&k7nnWD8gS~tCf
zM;eeH(k<-N8X2%{VmRL&7%Rv~^l6r8n3_MJ_BO*t{h^S=+Is~^2a!126j_kq({lX6
zf=`8&!XsA6mn0GL4-5!^g&bK^TNv94ojp3R3HPFTO!^Z5Cf+?Jw;K*C28@gYo4&M5
zIz9Tc6kl!d{s4dajfBRX_RuAgY>J%C>AMs&(X-v$2yP{Kbk-rs@1)f!Bdw!GNpX>L
zanC<`sJH{=#=hu9&qD{idwE~Aqp?5X?%O~46uml9T!gIQK(vX#P}>9e<4H;73M~DD
zm`Ivbed;`DZ2Zw}n~KcmG{)mng-hJMYlYC5^8P_)C>G8;*d`e@TXez^Y}GO{dnyWdPRL{^
r5smG8()hK{>^4%|DS>rN%Dap-MHzO4pJg;3QJ
zDdCj09L3W*&UBk*!Xtu*(de6_+WcX&^zU{_Ab^#wEH8xgpwU9cURn~d!z&K%Ny6bz
z2IF?1VZk%sojj}aVmZY%bln#@lcl#&Sc%EtklO3Ltb|RWIf>`s{l+SK>Z5vF-
z){O^PN^#5c3Nt-K>>?ShgpGT7VTwhci)y&!9JFRaV0cN?+z?*{svCmruRlR{ys9da
z@4-zDL*gN&v%lru&T|K$FZTIOHC0=^$fPJW=vt6h<;F-BRe7)Mg+BYoq;c8Ym(2l;
z#2+HCv2g>F@jGI&P02&(m(;|)SO
zsoR{!kgXL5Yi~O?$kuK6hZ%F=zyTySV1<@(Om#Lux`7t$mN8bA7ZAmyBVxc>hdO0
zbluy0Y4{1=tqX$7rTHrooXKrB?&?ddX9?@F^;lPFwK<2c+lVsaRc`xuYHnlp>xLU}
zu|TVbRO37rCd`M2NzToX#^Vns&Qo6NA6SF;B=ldi&-(*#43kA3J1}nRr4cjIGyqhW
zk7u45T3KBMgTvGI=QQAiUQ@>!&iCuaSoc19HsU^o3JBz29vteI8oo5r8jH|9-vbh7
z(M3R+cLQlMn!Ie{w`>WSLB-LqDwyldmori-lo4y8clY?wRVhX=Mhg}iLwPuA8`!d;My74qsQ`ThaHBZmK_RiLNj=d
zq}5RdXWgo%8<24ULy3%C`Cs|d?bBCT#n=fw$V&l@_D^o|D~p#sMW{>>Y;(8~5Cc2j
z9w@QL05{P8(-E^KowZ-SY*l;t3L`;(ObzqOziXa3vjsR{k6*ulX>|X&Z;9lW*^|PU
z!GCh*H;E1p9iPj-)1YJs(ys(01WYCW2`s2X>TcXm5CT;cn0POx?(t{?FwR
zIM#GarLnA=$27`)p*YC%tpD6*AyN)hV6Kkgb%|E14G#-mT$J9(gs@vm|b0W@;)d
zA+fjKA^fw9%DgXY(w>rpxcd=Y8!`WlSzpqu5y3OMHqIHK6g7b~>+{piahE3Daor
zdn895tzaVXtoYWq!q1S4SfJe`rLVzicw+;wo4vC>wk~o!Q0voyH}j}?PP6{n*g8#g
z&BM#O(HDj<2E4(o?X-PWIQc~VfIkK1&$N!_S6{_h`w0$!d!Zd-Q_@3@gp(@Mb0|y6
zadJexisqzQWSVt7P4bffFn+?a_}vO!A-3G={EBHN!Y1iH%PabyyU+LSf+Q`=ipYDX
zOy3LGt|Zl+Y^va6NN^o}W#y&A006ZP9C$Tu_aG$&{=m`tQAeHrRduE!WbY)%iKLBJ
zD~pQK@N(ZXnd$uCD@u0b8yxe9c8x?;{`IZ$b=?jMc;7JCt(D3D92DtMqZws
zv=73gAi1;|twA}i;}a=5qI(k$t5%^AO{(B*^3P39Cg4nApWd)(ce9HEkzCMv=H0~X
z=0}Dyw{#|Q|JaCExnz9jd##Blj
zdxut0qnDUQud8y7=_#`?@pJpXzA!#%7M*<}tyN?%sxIlk7+@g`mP}s9|*n{NZLg=3Xlc{G{i!+b*RapgUAB%{pTwZa2bYEou
z;L3%sZri%|2ZC-|-kyJFzj&8()A~ty=PtQLh|$m!>oZT)L~nKN8*Lk$lKj;_XevjM
zHo$Z9f4;$+;rVbthCz~Amd{;MovWaLZH7gH_pW|@v3p`s&vI9;>ia;j5ChgN67P6EB)qn_W9{7Fuj$)|(~VE{%T}kRo4;!hzh0wG=}w(KY9U-i
ze$c%gn?WYtB9C&9r2KhoW4AsDuO(o=TQ52UKe^!?Q;apF`S
zKYbpn_Pmg3bV*XcjGxqb>V0cU2rLL0jUwq>qFp7it}K_|K)X$8<>=|`guMe1Z6rh8
z(b2KgcSahi^X;Ru+K-Q24XUw!Y)fL@<6l=Vf%R#JBfRb#Ix1HoYe4fs8Gl0x$-}yl
zWV;n@i~0@8M`oSL)+mw@p(so7|&Z`f5k=v5xVx(^(E
zrWxrTMaog4I0ZFB2Yd*q&LDuDw)t2WQaiu(cs8ganzVE8$(`^US3L(&ln~F58+!-R
zE;}N|e_b2uluN93tXK|eu70Y>-W!iP+O`>sZUzploE>6oWXPO>XLaW8zeG=;BkCkt
zN;(<>dQy>+_Jl@?mi-?pzD+?7XbP>W*V8j~y3JK(R|BbP8Jz*mFXKrel}T2ch3H-;
zag)F-1q!c|6I(~F;uG-)2|x0QqB9H}F;0Kmy{7JLnR=$CHw&s9?71ahQfEJJNXOXI
z?b{55oXTCdqUnhPpTM@1x}~>S<$h67oeDg&$h>@$AZ3IE9yU=$7ZzT=q;mjmh{<*{
zYYGmvC&xTAy>XH|@nt_x6G6NKCuXwl7R@+2XoosKslkYAc$@KrN}-}m&wRlkMdZPe
zL3P?b%w=n5AxyK{9vyTmo=VhCRajOHjO0zgJ_!HZxbpKvR4>M^+j#MC3oT@Rn3cU~
zVj`+&3IYVS3YRG&ZLI6AL!OfLafR+-$7?)PMMj<=`;Tl2!cNt&ZnAaxOqV4JHqK=c
z6aTCNDuw#D!7VD7EWvC{APoz9FK@2ts>(j)#hS0C-$I$-i8SMTpQ@to<;ZDa#bF2&
zPtH}_7Y4mq)^4)`rsazy^k6-CE}o@oOQ~aO$&fJ%o&hPfepRrJP<%hldsNn`(ygsk
zFDLBNBN^F*xm&?&S(OR8lf7#Yo6(Mj`g(>@U(-N64zkihGdbW?2@_{>Ysjq-PgmDG
z5<}F&XE)JE#$2J?|
z^jY5M)MA{Vm-w!5lV>a2O
zzcygHwBYrtSLL}Yc|di+CQ4*q6O;2>;8IcP2aVg|(2i~i4z>)482fqV2NowP<)Zx%
zkJ_O)%Sul~Hl1NVQ_GKMZfje`971n+;7t|g+O(}?CFTaTT
z2+yD^xn)T=RhH}&m(_kDDK4>b@KXQiSK9t;cJxX%bjuJ68$vbMMx#$zOpn9=%>GEWsAA1P%`-Vv709OU>g{9%q1^;+dViV
zJUp6MH;%l799WvBu{1C#xUZ?LW>wAq$yr(}RSgLR02o#NZC&)Y!@D!LQ<^#szx}fT
zz{@XiHSwWR_}*j8kS`Cx5O4udERf$}&B|!RTV<2*Ar^!ke
zHHYd3xu20XI8%~$y?kz3!T)n{WYx#7pe$@(49|$8bk7oL$r5TrMSci*{m;Gj~hG8*CGj0mxe`va$c
zCxv%E2heqVf%zrk7Z-lF$Zw&^XdKrZ>1eJS2PuoqVw1pY?ZoEl2bRN|6mjD#Oopq!
z)o^C&!}_P7_{?oa_9A1b859&3vSxgiv(voHxpu8YP83TR1Rc9is^`!lGE0v
z0UVw&KnZMJ4i1GfvG+;>AIG3!+ry{P0)+YPdO_?JgyY9lCTGYuLB^PZyt9(|^bX-^
zjG5L}6HC9L^ZsZ)E+cZzEHM5Y%~c&mEajb42B~Tnxs%Biy-+}9(tTS|s38KHh#hq0
z)6yEo)m>DH4OGO7H*fYrRDpa1W*FcosBHmi10dkgB(8~;9lnJIE&BU^A0eh{uN7n*
zGN*Mo4)29+rRWR18=k}@u_d_|4rI489ZD8Yf0QSo-KG*{-JX6+RU^U#PY=BXVW-Xd
z7jG$%uMuN2pbZlQ9jT+TrLWYX!s_^iiZye~6L-`D)W9X&gkEmbT2RDllxbe3T^q%-
zY*wdaUGHQEx`Bh?!PS8xt!_Mx-6O3jpjCaDk$%YP5M5c$e%QCU{#J!#Ga`|
zzH?W@7c;@(-57ufR_w20%QVp7#)KPI7gco45ANVL5*EG=Da{-i7t9R|uebH|94hjB
z?6!bfnW^ij@PoX+uWl!uK`PTSqv6{0QjScP=t2&oy)-6))7?Vbg^tl{v~lC1qr;A)
zx&Q4_d6LRSH!aVTVeRr(n>nto=Wx}BUmB{5HS&=C8tcVO@t4GvmCob#TjKgJ(lD^q
zhe!&hGJFk`6*QzVD>2cyX|PZ@>g9dnjgzWpXRe-}dN=>30{-N@BGvOlnZ9MewC~$f
zYvz7CPs63iCVcreFNMM_$9Qp3xO(f>e)YFc6NR=iUKE}E$4^}#;OLz@JDzgfzH{Dc
zcEQ)W;MM?#k8akejfiLsi)CKELClWd1a%h+YT7)SrAu~v6v>T_;BPd}?LT#-I@&;O
zDXs9s&YR%n57Vp9U3~wJa6SQWxp7YOd|1R*ikt~5%P9996iJ&MA1RXg6hhX(f#}vG
zc+WCu*y`dND>bGsum}29S``(|sLO3&LLBymQeNH7K`NdLwiL;I1C%3zi-hl)@?P8a
zR?{`}eFC{uZNnbY+qa*~ct|72Qowl7`SJ4|JkBRUKX06S^|j-bnk#@ICK{@dE4A0`
zAl_iRZ-K%bRX|)naE&+us>hZ_6E~2FWN*1pwX_6XDwgyM1QoH)N`}y0<16dpc|WN$
zB~cv}fDBuKcYu4fZuY6MDHgh(bxO{+F)iEH-JP}B!h-wS=h7>K6;}D+j3)p3HP^q5
zv8IMW)p5rg4j&DS#@ZX$wqQ#31CO%zOy7bs&fA=0Tm@Mj9j2ZhU4wpdKObv6VM}@Z
z*ch;+mSWoN8;OZ7zqr^2$EM4KLP}a3hc7R8+nN$Q`#!kNUR&8uWoRDz>|+Z6Tn`|q
zN5`gz@rWPojPMg+AZ}seY)j)e1`Ud_zIm9%(ASd(jMQpqo?6OEZ=VySk7Vq5ks93z
zwfR%7u1e>bv>HFom5pU>Z)%9^xPA2v{8ayP0dQwC?(Xd)crsGlKWUN+axgeHispE1
zYFzUsn&fc4iy9h`$58PayN%)|1K^wiY(X&z7YY{SlvQ+Z$>}7e(|sRC?UbCml2IP6
z{(ODYrY9U@6;XLM)U8kpyrUYj>zjv4l)Ki+34w$0@$ttVdA>G;(m}DsCx+1!|hBYjj3oGrd3u_BDggq0=@65&vP&B464QvT1
zX1r`lVfw)qSodgoB!9VyC#kgS*r)x0%kCMY(
zKSD&viKFMoiyG(Vb}#(guxl}4``L%+2RU9idgxI5!~|wC+keTJQX}*HAfrA}h)z(LI?or&<0klMGq`jp@gW$b17tH*ssj2Cpg++YocP7K`
zAJnA>!F-i#{MLP#WtDki=cwY%!ouI{Yz(jl8%y7R<-19gUa0*MW}jrBCVQ`*3rp)J
zmKMIIn5XsAr3ZITOcHtfy}XL$A5w7@gbjp5Kg^Sz_n|0p@dhe+PV*82)7Tt*gOQdy
zBcwK73`;w3TW*(t|J;4iVF%;LyaT%52N`O3`=B3O2|!83Z~h4mb4AY)lU}bLmv{(H
zNyQ0<>d?COcZ(y
zzs=aulz;f~9*nGPDEQr2*3uap&#*-Fx|W23`EcEsO6~>loGVl7uvEN)a-WE17CzoL
z?5d_hJ#++yq*@ZWkB>3te=2x_!2-KQUAs7hwa`6h&OG9WE<86E7Y5snS;Dli4`A(>
z435Zl$bo1lD7hR&HIdX0#{&!hfY0Bbj*pKQcRM%&{KVa=PILI|SW+c+@PNN2uh#q4
z{?mTqwouOH>_~#E<_qI$jnVfEQV%DkS@w~t3kWjZ-Q6Bf3J))9XfSSE2?@c4f0k~-
zT0>a}K=~fYWxH|nCS2{LbIPPR@;mty2~U+orml=k?;&xW7-$|*rD=o(z*Wk}&Yg2?QMFdPqEc}Rb>jr|zjf2zDu?0oaR
zH8z(avW9DCR8&}kYU4+j3>R~+wgp~3K2KnU7w;Y0zt6zH%+4+)OT;;-?fv^qSQl~H
zb05(>pGGw$tE}9~6VUqB>Ccz-VB9H07x;>sH?YGKIzIc%^XXreW4%O8B^{HfpR#lYzD|3ovUP~tnRZEv9qC^6m
z66EuoD;#i*AGF>IEPi&4U)F6ulPZ6;gPtqU6AT{*$T7v1Wmk{`a*Bb7tk+U6hZWqF
z7Jcu31!iU(GS@vZr<%GH^uWM2(V>BQpY{{%uY
zgwgI8(dN6`w>o>9_Q6u9#F0zIPy)YZmD_q`GFS*Gr|apz7Zn16O!F9z2pL@oGy
zrw;%6_J&ukT2kuwX3a$X^s+LCOxrcs^7pXi0V@84iE7jAt+h!y08;lHxVQ6gb91wi
z05x++aj}x$YVm71Li)4DS}irII1C-49W5v*RN|Y^}!0+)YkT+
z;6L5-7?4Q@n_?8`Z=(z1@O)48(h<&+v^H{^ES~7(SN@83I(6#&hZ37wswjTd_|+{$
zB+mA-(Y$h#g9jgI2-~(v#8pn{C>T}T4a8~CF-0Yv|Y>4c2
zQNV|yy_t=sq}RojRbCfM=*#aa(}bu^T*Av#z}nR9ZJ%v@y?Lx|*duh)?@NmBXDX}H
z(i$?lK2=sr^ewcmEl*UYQB+puqcsNt)c9=_J-!~Zi)EIw#=laNsT4wgUr_U#ekp;j
z=sU=2reZ>?>B|{Mc&?X0tw<4SHg?_ze{RAvzz_QbhQ9bey(d~R^EcjAIC%MLGrk63
zt!L7^<=v1)U%z+H^~$-`bUB-Uo)fqpAMfP79tXF7gm&Q&d3Mk5
z*WvN^kJF!zhp`HDfPgRqk%-ai<pk`-kQSg5Gm#c=Rvy&3ZuLkk`*14-#2MUga-~C8%(K
zn;nEzK`PllPXG6B>P4wqwtboMxt@?9qdR7SMi%*_y^G*YSJ|;6s_6}e?eFa5`}>~-
zm0GD4Uei!f4w;#q0tFR!R0iDieeL?c{~jJhD6o)}8?phPhh(9;f3t2=b8|Z>dC?1j
zI6wXsh>Z-h2Fz*IFTnR;2JILhjcclFcd_4V{(pAX8rEB*a29!Z*H_quOCLi~;z
z8>cii=|Ld%5Js&k`Hvhrlm@lQ9iRNrJn-W`tt`9NAQDUZ7v!qRA37RcgY~5t!zx0v
zMYnesRKrfrU>*-VD;@YeUd2mzU%<5I@Bd8nGH4tir4>dYb)o9I0`$87q`E=+yG(rZ
z;gzN8m2`5V01{s9*exl5bN8y+gIZcP{4hbd@7A?z&@?YwUZPs_dBzvJR8-f=)zx(G
z-msTjx7>R6(a_%hA+q&9Kc!AI$>Ng>OR6`Y%;KL~N~&fyx%5>W#^hrqT{6&Bm^nrI
z2DrG4A8Kx3(!6znwZ7V*0&H`81InKdu+d-(j3VE|S5s5O37HESB2vTUC+B|W+m@seW|&_IlWDC`Hu
zJ6HIVha!8%ij;sjFAVaDzhU6vy{k-eMpe#!y&^iy*FP6JuFSGu
zC;4F=i_ZjWz{HyuFIs@l9=ONOwy^E=H5LK29OMzYu^6nK|FGCSg4H3V-pS6;yF@Gh
z1^oW*>VRr8Ge$hjDk?gJEUX0_mvj(8htQI``D%BlDjQ@Z9zfMaCzc#582#0ATKU`_
z;@D9LuDF(uE9t()^=5kdmpeYMqwq+t{7zcQgqoIaEIG=Kopl&@U1JEQNYKrVhlO>?
z+}r<0LjUcZBE-}HbQa!0mqbd}7sR<6w{D%BzA_f^b7N@Kx~+R;OmkWwDe=#}fA<&L
zE%SV;zYn+O5h{njznZV1NdEnecqI&YtNc{r8(VN&o)(|NaL5^PzvA)c-uw|5;MxO8EcW
zQD^R`Qf}vGX1*Mgy8ZggnU~{U`(jm8R6hUsz5ia!Q=IB3OPlY}9Wy_53YAY8(yvVX
zN7OH(FDGWRD=T|Hue-B()28MzDH{g2KEbEGu1_s{(_2v-O)o5ozjMo9tdwgruw3*@F!y8;!VRIdY>wG#UlEmITp6~jU$ld5zZ#tnSn1?E#`NjI*
zEqzNg%>LILU0jNm`hy8Bzu~d5Cri2kNKdAA{`q}0v_4F*d|<`bhv@$BAqPiF+{xpz
z>F;z2C+a`^X=;Uj!QMxt;eY
zcVujos9JU@L9Pz<$-B9-tgMkoSNHAP_s%X_wPVmL`gsZt!55=5BPZ1t?ttr?HF4qF
z4$C`#PJ$Zo53VIpt6`s6j*sUh$D@#b<7C?ty^s(eZvt85>i&FaD3K3h+Gl50US0<{
zBOVamAhQ(ka4-EnMQDW{9T;qbO1Wfa`7HB+kUyWS(E?oxG2MV4$^j`5%;le*fcCmt
zk^wZE-r>>9-^?@hyJjYy
zx$avqVcDmaQTgaz?%J!cef#@uuAn=Izl|Rj5M6p>oc}_pI
zWq?j#p_C)1i;vHO;-`(qx3$s0W|Nq#^37aJdg|Z*xs2P1;?w=Ix)x8*q^)P!8@&LH
zcjUOQUtcXtdI1biOjknxE>G%VDy>LD;q}~-KUm26SUwi;yv5x3hi~#pa7AqU`U0t|
zFN!>R-+1@tajzaVVl{buQ;1KdNKwcP2#(0sAS^~8fx8|Pb02C9z5Wa1@mo&lwb{*%
z_oQRKV|IQ?`7Z)EGyfwpGO{RO#UG4Csm+@WpxxF1V*7gqc7ljJ<>=T7Q6U*!vbqsb
zdstX#^tMyzq-gDphZ{C*Ko)QGMu=RJDg8rf5BJ~Eti8eYt7PAS14T>U##?S))rue#
zt|IHlgr5=gzTbkD;sMUY9aS-cV0(ZM144N^x(CM9>AmINr$BQ66Z;EufjFmjEo
zWd;&sX~0dm(8$n`;kk29q2rW+8nzMwS!GZ^d*Gi0mWBGKhqRTBPEG)z?l1aRg9@FA
zS&Ns0QyIXbK(u>@HCP0*M8p}Z@q8rf$J%7_D};3|z)5X;PNP+7BhaFwx%q{-Xn`N|
zCjpAXdWO)X)0Hzfk@aFTcIB^421E%!WOrqCaj}=+!*!jS`FhCBd+3vI@#Rqyb=XG3
z$VErp%byRn;-w&)pLv|Lv>%CkyLZ)(#Ef<>v*}&Hp~zPpuYB6doZAW16cRK(|NZIS
zzq_#YMU2S8(h`NxaNdFRylQ?#2C?4>LuW<;Yd3mj!a`>LHo#onUR%f0n>HX(Oiq7tmjMUhn5Xq-SGs{dq6h~5Tj-T7cH^O
zc91xy?psj!&Nr_PqCJSE6WQJW7>_zu0SabT0rpN#SvVC_`V49h`7DqKhXw0D=C-E0
z9&o{)3;PkrMTb#u@Yfus`YJ?38P!hyz$s_y
z?_cE)p(PG~DuV4B5C$>Nu?cL%NMa9KgDJjq9dVRLR
z;>+=I^BrUv*^zr>?XP2Jx09%x3-t7_+0)iY_xX-)!rXx_ZXGrGyLSfaE{dEzmA5E$O}PlL#eW+026m7J`BuZ08E39%NURx?oHAI8?gJ~EC@{BS8@cE;<>
z240`}rR5BY1D4M6LiGv|3_xv(RZwo6oiDdIgx6UG0AduAYH^~?N$S?Xx3>ft?s$BD
z^H%d7kdbGgqcw~x0DAJDE^1NB-1vKfqLi7`xW(-`&~4d!2zDAAwCvJN+Y8+;Gi{gp}Mkt&{P
z@RDYp{==qmVF!GP*!}f-xo1hWX+{lp~9Nuw@d@94u>fc
z;j(NDFj8tBa}*4vef9>x;t|Yl%nus`_`d&m5~ebwjWzHt>6~^=gjOs#au@2xqNSJ#
z=J3yL{s-EzDoWvx@y0*RdHRY}CW$P+Ua?&QLd
zfYs)W$X4vGRKJ||CN3o-TA9D4(mn%lHbr0t-z*2I_#VG8!~)VKe4RB)9^i`^P+1v~
z|Jw+#tzUqC*iVd+IRbG*6X_t#kh@4GW+x^SyOXTxg)*p~*>wM(?c$bG0evXoxYw>d
z1=$Pi31hUiAPAZRVDoX@k3$1bS(DYVx39Rz_vB_N{bCL0#u^Al!GP_r7rV!o!&7Td
z{L8IWHoHwOCacePkN
zTKRmW#l^FqJTZadBiU2K!3u$zHS9r_w9*>#w`EUyL&%{9S0k$+l&g&{|G5rI$WNT?
z!;RL-Xl$RjEJog8%ZS0vYHFU17Z^0HK`$l4n2eel?g9OjPGI%7M#K
zM8TH%0IFZRX(dC!?_E*9hjzh#DufaqN&p=B%LVw)MN#m&BLWm$g5fBY0j-0x5V8A1
zc5ZHa(#qmV-M0+UdzA|ob_DLyq~)=(2325pZC`Ed6I5*cvk;)-<4(KJ7y4=1eTq{f
z0E~?>Vf^)~{w2Rs4&UJ@I>PJ{!Bw!C%CP(<06meRTPmni$G;ZM*
zEq4SgR}?O)zKY9mB(K9}gzIp=@ngP$rOY>owb$O(<^bsp5=X$m@csIIYWwMxdl*9R
z#(>PI`!6)|fG#c81Lx`PUYBK@b?uu|dID#~zg%i
z0%|9+Q&@Ry3`_#+_Cs1#T2hj%bdat-qiTVqp6)@MZf%2?gzmliGV=JCJA#GL#3>Ll
z(8LRP$Uh6-|EVi+NA(rGJl9!!dwGSrcpWpt3r7hXzAiB_aSv;YZG>yw$xHhRSMB`N
z0ifvQ&(BXi>)n>OQuBD2T%`P}KPzCLfabU8Fd~F)$;lI*`GG1B$2CtonSoh5-M28u
zqjL}K;Ig2^*Prnw{1_@FxBPQ};63%?3R{Wht?GcYTxR?fW;NeHs$bf)lK*%i?&u!0
zx3}*aM=I9XsB^#l@_oc3QC-Ym{SbWJ60d3IFS`Br5OcEk{k55oc8(DOr+m2gT9O(zC
zs(`A|Wxodx6y62xTCA#~y78c@pj>)4IEP#p`L6@?hsn5(ev)Wraj_{>G|+mxg$l9G
zH|*22A%!VfU6Z=SIr@419YGGIU7D7@X#C+oHo`t)Rt$UA`c40lDc2^VXtbZYU=FJ>f%rW!dI!08I&lX2c64#-eRJp2GQnp8n)**+CN{+6s9pGRJ>gu_xc)lxO
zjyp-yWdOrWv}pgi*LZDJ?mvuQ&OBAPFgGc5Z*|~(4&K1B^(>yWRN}AcOykfSLUSeq
zrvTC(m2=an=)J?6BE|9DLr2tz^eb1M7XtkPfH?
zEELI4`be+QycE+tyO-Ha_>fu6wNs~0mz>ybVr*<&-{YqyuSM_~dM}8`d=zRTrM#+-&XN&@Un*voG5$zXO5}^ltXQ*6;?trRLJG1{inp%3k01
zG*TUGfx_Q|Wdo``X}HY-*IiIcYPI`E|G}n-wYj>Bp4%bm)
zNXyf+Nc5$UqiA`}^YvB@>}K6PJ%_BUWOb)SMTfrT*rMkYcoZql5z|U4238H@qiwAC
z6e~*8-jhTtYN8Y>g`UBfgh+AuumJY@8vuyy|{8ps?1}Tli^G1NoJhUV{e(zXoO`HcCCN5)$
za29z|8TEXfAEz_{8Lb?7{)Eqp?&9I0TesCm<>kqui>DiVmnCdjCE?2i5vo5VE~)Dr
zOmykV5eK}s-_W3=>e}N&D=Cmj(O%0N_*I-Uuu&LaRT&es$HrkW^M1c?>goA>jQjn%uKRTn8SA#$NIWBMUFD-x)7&lAHsZ&<
zXXOu0t!W|tn;@HGuoHIY7ZGuB>89U@PsPcx5kBl4YueQ5sJlYHPRM508G%qcL7zhm
z{b5RmJ?K=ZRE><#Cu{|7+;O4kEdflmF8J}1r)v>(9C1u46gQ8lHH8IjyvY$8|5_8_
zzhHKH_hV1K#9iGRcC0Q7%$u(9$UnsU(t6K0div$GAX$6*uywDwgedc}UJE_n^NC$FxhVC`TnadkRnmQ65iJ`;6@=h-j3
zEh{G?UIz<8!*}+4Fg5~hT^qw!+Qj+5K6s8h+=FOu{*z
znvNp6j+rqT=(!S~>2ipSzgr4#_pvUh-Kkp>KF}JpQY`hhmFsWKopS%GSb>KDKv|n2
znt$Zl?&Di$!;LfgVk-1@1$}zYX9!wmU3K+Psg<>~C#0fTIbRG;;VWbUHF1bqJ#f*<
zCkSS4ho-&l;*RS^Tr$HU@Q@jTu6G?Br=rM*KfH}uk{Vj%CL)zC-|Tk!Xq+*nY0ujM
zM0j;oX@il474#{8#f!efH?g6rH;~FNbBZ@qtd%P
zokaIaSXE`t&CPB9bG+y!u8jo`nfuhLv==E4pIR7et&w4^p-CJ&Q@1;K%QmgpSI?d^
z5sEwq{mlYvtz(TP6%P5UhP$Dd{N!AVX3<{3xIM{e{;Pn=sxa{yze5y5o3ZSf2b2dP
z$0+YtsL5q#AX|xd-3Q2Awy8KwvbgSc|Iw{>CJR@!!l2u;IgdN7sohdWIk@Mfqho?%
z=yncsTFxx$eFB%gZ}p7}*a)Sx2J8@1A}sis>Av?pyWG@ClU#J2V3*25vy4Ifn2*c0
z_Rbovb318mnEK`Ges|Dctn{5q#j-X^sXdc!*@ynFA(&Mjeb;|@tU3x#6d{7vBMZ@d
z7C?_;)3r|Ty42N5P*PaF5L&TDr~zDsX8uf^WD~5D
zsi!tz*i2XqfQpfB@-C)V9;7Px7OrJW^__Wcb!+aM>nL8<4lPo1aYHM28g+RYYp$=Z
zhukeqoPZj>gf?1{0&)*yk~cQ}otBm5-6qj+U**l~?erWSACb_b)~Nek;fI1uf3|WL
zR9bD?p;MJT5!2S5abI>-i7fHjm37urwD2H4m)5xob;UN1>oBv>{dnE)@#6FcQ76X`
z$Jz(0yp*15WT7_sJ`3-^&(}zQ@cH&(ENt%Tl825D#h!&E%IkLOo3z)fn=S`D-uUD0
zqTNljz#Mcm-;#rvneU=NVL$kTz{3->2FvsbFz<T!wM6#Y`>4FC5{i&dAmyBixDa}AEhjS9d0Hg@jeqgMe%S}3gX7aT>g@#!eF
z2d(P)OZtznrK6R%O`f9_p%QV;udY`7vD`L>ocJiu^x!C*p(mCVQ(IneJ@q-MylVlX
zt67}1TCq*S7o_(qwtw5)?=`h^qtpm|#AKR2?ERo~zomU#d-?D4!jzOt1bg_={z`HY
zcB!NK!YwPfGh*ya*ZtO!y(XtWsZ0)B5!^38lYB|J&LoJ5=<%88b&I@UkUClt_AdrPcQc`0?Bh>iZUp$S&`x-~v*Pxm{g6YP{_
z@J7{th7+1PpNvFFddhq!d$wC}Cxm~dR_wn0in_n#tlfuy`$l;JGQ^JakXDtjNq@Xv
z0VfHEjg_N+(oN!f5`JrYTsO+GBnnJkX-0t>@l8U-^?MTynu71Kep$AReR#5Qe)_x?
zLwQeAIUtC}xIS%EAm|pzMMX+&q1RF@Eh%wAS?ULi#*2zR;NiNfE_fGQ|5Rvu8Tb+V
z?8^TNQJAk7|K7g!YGS>pvgPjf^FFiFPK1dHZa~w*TBr!w<_e4WMU`CR$3*NXU>OBDZu)=AeR9zK3-1g#GJ
z;_?3zLZB)dwQkHzjWbv0?$f(<(74Yr|0~}L@3#Gx!vz3)85OV}vFQ$vj(*)5cXB$a
zjclfOqK0H&Pm>&(cxL-XgoTnUE?VObxH6Gx#Cg`WHP&AT|NkHcBx}0HZ&&Ji6N+#+
z3W%GiI}+v2yjqhSq$(kZ2O~pMqt*)?@p^n)=R|IKL)=!ou-1_eV4wuGHoHI3xG-3&
z`lg?$!b``A^*o6XBe%gI1>-Vb=2h-$mIpJvhS9AzbFyrj(ymrP+ZPO2`_+g*o4+1se>@HCRUN_8L*?&)CYW9};%tlpI>tR%WxRf7_0~7n(^5@YoPQp)DItU{%qnR4
z+=GJw=I9UO51h*;m0&O|(7i^toDK)T|M0loGPX0{f64aPyb8Z0CllLgby0jwLl>gC
z_DsXMu0MtO`ER)%Rq)r60SN{}jAjNXcQ+{$@+ojs%UbmQ076Gl>v*D?IG5BHoGaSs
zzE6eFCZArODCN5PCFql!dMr>oo%{5!y+EzoTY$3y!U0j}VZe@lh>(T}9oO6fM6p`d
z>u$%;~9XtxY21rx6j~YG|uWPm|TCr;qK;EDbsgzq^*uO=^S*n{N85-VdSa#%bxSFNjkJvHf)BlF?zX4Be+;ihcpntH
zx}gPHbLIotk;Qq(-jUyZ%JqHs6u80GJB;O8Ypze5B=4*h!NECRRfE+PX<_`!bx3EytaJaFk+66q!1
z%)c(k*FRF)=g54=N3KEGhQ!OUHKyWVK%$HVpi{a^MRce}=i6;dcpv;1pueH3D13Lx
zduekf1EPbyhMtv*&Su99pK}R0xEP$2+)uWA|y=vA;0{w-MK%OKcvzeDW~UbA5~K
zTQpvrw6e=DU%%c^NkYO9>w-XUBVF28zU~C*FW3W1=`}t$4}Vg{H$C1|XM*mu%M_Ii
zbz~Rng&9zNW9MrZExUdKR_p*>o=SS9!RJV$GS>jDr+M)y-LBR7|0W*@C|F!?cFfVy
zv1|D7eAJ`l76!SShji!|m79f5*sn>4wmW*NwA0F^SB=>lizjNE*Yvj*+j($~;_&T_
zErINlw>fP0^LyY>DLhxd@3yLPiaPpx5?WB)4Db8TI?(*OC0MLFo!`!m_@yV;C2AfAI&;lX_-hr>eGC0(lyV3-e
z1a$vwK8>?*&81GS#t@|6ZW;9C+$pYq@WZk^g6)|p-8%mV3c~e|!~Yiwf~k)rMJs*s
z{zHl~7d`obTlmF)9mfHT`hsK~dR9OakWp?n;N>F{)q+}oXA6SzPMoPe2GKhTYa9vO
z7`ynlsd87o6xm+^#sO#6M*#Cop^3pb4iJ-W6ai=|Np6qrefOJ77L>R5#bg-4}ah9m<)XnmI*?Vboj{>E;e81D*(xSw(h#R
z1G>u(yC(nA^i78zqZm18xGzV4f$14Xe-fP)guMB2t6y$Fd6IX>+huKP^*I2q#A_if=0<<$I
z{)zUv=oCu%*mKnzq$(gi91?Lr4uRXr0Je1k6KoD!JNNSbwfp@>cic`&D%fP@tAfQ%
z!hi52LMF{4q@_3^F1K1nur}WQ-BBl|wvTkCtyE^1n4wx^_)H7`sc;p%5g5)q6eRcP
z@_{ly*=9pG{tL+OKv{jRua4?7S&u413L;&z(pzdjO69uUKlbt{^c~}Gf}70KR~^S%
z*qRo?wzx}r3YT-^d!mLYPqp{<@+$HFGhL|tZUybfd%$0%a8%i@$k`8o0o#JN@OB$<
zOK6f(UASJs&Jv4r>fmi4cNj8t#vVD~zfg!nn^akl+Y4b7KRkc@?`*(T0gdat;#vpb
zSJJq6nZ%I&YmY!Y;@nlZkd?dyB7Ft{V%o7@RlMTdw-x)8F59vHURg^%IC_)L1T3QSSuuiuf{zwHIa78beW{0D09rlM!-{dx6gTEC`Tdh~VTiT}{RjwJt7SdVGqxxbw`
ze0|>q4K64D_{*c@Avfi;eumJM57c2eD-joWFu<=MfS0PV?Ao=BgA6CRmzAhK(+4V_
z)$}T&A-^Ys!P{Y$tHGDjF@S@EX;y!AM!zWlO9EtQWqd-yEQXiHVCCCM9(02%efg6q
zoBr$WqMl&|nQZJ7yVXu=?4#?&bp}rzya<;grE*{!_vf=DAVxP+Ua9<|nHB={!19>RD
zXFuo)>#eP8XP8^Pm2P~u^zJh8eJ2;ij}_BjK5Qn-8bl-)`vxhY(-?ea;ky|dYZrA$
zb`Argv4S{9cK=xQ%j_GO0mp7JYhiDRtJU+};AeY{oe%2Q9T~9ZcnC#S6Gw`nR&Tlf
zx0~5DMs@)Y1V{gl7np)e1G|cb4!aHT=4bldm(CZ_?$a?aHGLF>JYSP-%m$D;k;%S~
zI-5H|>p&6%;~!I?ey}7j@tv}Ra^&lD_2Sw?-&xyzSEHz1AbI1K_sK;ld>T5nXdd~p
zW_#7U53kHEzJC4M7}EsM7N4E_aU4dx`OQT@je_8r4SwVRIKvwK#Tilh>;RnUq`GOOxy|3milJR;2bmzAU%(JUk)
z7zuoM%gAr_yf%jH+}w}zwW|RnpN*kEwDY9Sb#JRe8b)md-Tfw?$ATaxJT0pfyrS8O`&?pe8fC@`Q&i4}we^?BuytuCam+hFjBTiRpk
z_tX_M{DZC=AA(uBFU89-@#?G4Nq_%FuCHFN#L3A*WxBb8vFYsDj>HLi8tSHX{L}^;
zN)dII1+oms`1tQ4pu3{GcHP3(Knz_ejNIK|sSdXL9g2z^5R@)ZxgL^qaiRbD?l6-<
zV>S*uF(iZ_H8S7IZ&YaTODQm|i*rBToeBKCMT_C{ww+G@T`(Xt{oihDNSL0DUpZZd
zMP7{=rl!uX8Gk>#7je8qws29NRc9!-%&ZG;Nz~pDB!_P}tBr^pdwPX@wf{HW=*yD<
z*TpO`!rpa>g*&jEUP&?pwN9pE;suQ-Jw6Gf2mo?gE52GxO+jV|eW^b1^8(L{|F@dK
zbr=8MVJV|Yyh}7@Vo;CNhCJHh+5mJS>BA&M)veogMPvxuxvY7*ZC2j>2N;&(#EE!I|HDNEK
zvAW+W;6n}qNmNY+Lz|aDp5113GPp|&i9-%ZCpuIA)CGaP>c7rdjF*b*hC)p
z@MeZuM+K~}`D2F&qyspNu78wLkQ6)fV9GeioQKM3!#HYcQnCe!L|BiNi3wnkJv~^?
zem{zuZ!tH&dYsEn*|_*!z}|KC;7*Dqh{;`-nuk38zw2B5wg!zFb^JFm>)tz$IXO8u
zelPmIvwX=i*23arBQsg6p+uO0%jv7}*||RpI9t+c9o^mC8=K+mcY=JYP$mgy!-=ng0X9W_zlLWTzol!lFJh=RD^jBU$!zLHDg|A2QQ3fMiNz
z>hqsok{m6}PES`O??ay6-1p6PnF!s5D>2e0o$3kt3g6#QYkBSd+dNF_tKw0MHq
zn2}q`?u;@cS#6iano<$Yn5XSS>$;vM8wsdSs;kcx3I)@#IDFl{y+vp4WZ73f&y9{R
zbXa5edcTePy=<|mbGGjFW_Q)MH@$y(e{E&kfYZUO%2x`Y!Hu}MPpS5xZ;{P$_4%0$
z6R@}ho$TL_dwSts&+gojZz&e#m@ep9yqD32HdFPJtBh;UQx2jKmjXP%`%8CQJ|$x@
z$h;oXAr1Rz+nzl}`39c_jb&7vgC>c|h65`0O;LvDj_qc#6v`)}ZPxG7vO!iK!QGt?
zCYpKE`O@xW@w{Bu%eNEDsXx9LlVAvj41@;{c~2=Q@alDl&)0cKw~QV^kSitZ*Pcfo
zJ~Py|vx|w}zBv%efq{VrcCqFsPiC}P#b*wT>D$LKzT2^-`zxS^
z3GXY4{6;%G*H^{!y}#k*+cB$$A>-`F3f=EtzLYT=Euu{fevaID4EJs!lTRSev+OJi
zz9
zn?|}$%~OtuTe*QDas*NqRaf;u}cjR;hF3G{wGHv!GZoz-a?51of
zD_akor9($O_s87Wm>oVM;wp`ut=`3Ji3stoA)~B;+D|*8AQm)%p?wRCxwW(`4BM_eLXz*9ig@F8|Z>6C0Cl=T9Z46xMyc99>_pN-!RAF?$`5^QX^*oFlOfw>EM5I`cgF
z9F6{w%-Mp;2Rrbc!QTOHr%&E~%qSx)tWiE(Zh}&;wP*a0AxZ^F_w40%D56$I9)AA0
zF=CvrLi)V>A3sHSObg$nhy6@B__kK>&ZF&F8H`cs9&YQajtq|MHxz;6b5~7(JfU3h
z!PahviKGiXTQb8OM2P)QYL~@v!h}Evd!d?>h2;_%%tMCIGv~h_)AG#GvkN(}$~g7a
z$}K2K&XZqaB|`9yW{S6j9A6n?frJr!t;>t-w2stJgSGLR|EGf(v%9rE#!A!Y8l
zR@G16ZJY-3WrleZ!Upyr@7MAURLQDPTf7cp&9Xw61llHo5EvL_cHHxFD+?{$+88*I
z5Q;Nr4W_ml?^*{&KvTFK#}JCXX0%D6x*HUJPOn65-On0?qb;E3)SkF1^LLj=;mJ@h
zX9!;V=e)IB5Fhk!uGUAgM$aCwQYT8AQfANKT^ZI`+*{Y|4F;J5CfS<;U^VJQkoK^jWy
zKBPS=Z?cxy@VOYCzsYR@{l~Ifi-@B~Bz=@Dn6q9SoP%$`Oa372GfhVcH!c>UPyU?((laglC
z+Uci|pN?W|ZCl$Xsh6x0-iV8;N;|p}5q4zyIzh_t}W=Y06`z4z3w3B2`_
z?{A3ET;O%S*R`V8`Ru39Ak^P=knSTt^4g=Mz^9+S?eHkQ%|Vd%$=_!mnjin{wd;>?
z{>uB`hZS~On45EBIwt}wFD^mkIHkaQmP{|e3w_uvRQ&B*H9ad!Ru5GBp>y-E7v$8o
zl-JaDz^*NWTszPr3!t9wqBYV*Tt{J<$s>=Oq7tIrd|eVz*otEIf@OTnG#vwnb*NDtjvKkk$}(l3uIHAJqtH}c&`mC_$-2#`vY>Xwoa^fi<{kEef}6+(K?(=i+qZU-
z0Ywldr-Bqwxu(sX7|lg&(+ZWZd!jUxC&`QTE_$;~?c=_wwIUj)lrlLWlQHE;Dd-HC
zDtSEo?Hif)22qbXnQf>WAA(M^q9yWu+14YyRpx!im(|nvyI$JCz+;lb;rRAG6_KtM
zma}J_id!>HW-!*sh9J!I7uhzfCC`4elw|BK@R7@Cwd-6>tcTLC$WdiCF|?ImHf2jr
z(}<3Rk0S%S{-Qj=bvBpCxKokn)BdpJKfm&1H%$bSO8CCROE)4*H>!>Kz*yf_AvYj5
zD(1%hd&IFq*gtN-Uy1yjoAT@}7miV~T@8H>ofJydPg+ZqocYQN9_FU(Hhu>9JF=cW
zakRZsjs0&IwLbd+5GWy@eil*WpJeu4^)d4fW%^J$i#TcEe!~{gzbOk7>T2H%;P2Yu>^|&q5np
z{`b`jPG9~v{eOeh1SgA6?Pb}S)X-lCdVnB`G}1)x_6eLWq)l}29DOfDP84CUJko@RF#X1!~=c)oVpY
z2>#Ni@Ifdn3rg~d@z2b%)u9-*fpB={TuSZKMP;SSX7DlYLtAG%HL;e7H+L*LGrXH$
zL1F9KLr$x7@IGN_dQ(~p?&l5U(r!kQg{hlcUMF{4%8OIQ^n=6PeLNf2p)Xjo
z&bNi}hA-hOdE{~`##b6C4I+@;6PPYtNsehH;F&>hU*$bNQ!!9ZF_xnXRK
z`NG@=N|@*)oY^g8a8PXd@@=JE5hZXJg;(P&?j+Wxi2kupK_ThQ7Y{HTXkDvGd1~I5
z)_One*A*Vy5AWZ1F&tvYrK5C1ikUx_R#tgCKfh5eIzC%h!*^?63n~gL@BH2$!+3&0CdJT1F_d>0{$_N%oB8}56
z5vl_=bp+m5stwNSzBxoIlm9c~z57bY)tKA<8>gIkGmQxC?ax0sJBVm0E@rp3S6dC&
zSM-D*2;wAc_QbWp*EenrKf-@!H^r0{(cQ<23;^sMk{Tvbt?k9cE{O$T0Ms2C8klDu
zSN}P2%4O$Fdpkj~s`gW9ZMms=6k9+|E#1<}a=ThOH#TW~*XxVEZ{Xb@tX;LHDqco8
zvfRUp3xlF3nl!^TH&#t;e=ox`UWX_^~k)-+Hi3Ef4pT*ypd7*47eH58Us%dWNeXKI{^x=UMUXPc58UgSGR-Cx^w<>*e70
zg~t*xtLj+(w#FWB@2A}mmtjsz+>gCn`46jp>^>>T17ovcwq&p6#W*4(S(N>lk#JT9
zZST*pigYfbE#Fcevr&4(lyDKQ`g*mTMyEyYP`pNO_zVk1Lu2)6#l5m;chtB;_JJxB
zNQ^tX)6Ef7hbZ_Z-J*)M_&nv*`wYX*EObbI>`-29_~i*MZO`FDYR~vW^V(OA4m)Wg4&JD(++sI7hjdBoj(fV2p;>9S8=X))
zK?#CAf$Bz9X&XQP``r`cgcUt=Rt!od@^VSe?d^SCx$`5emsO6MmKgwB9T35j(7vl^9gNn$0p!dAw*-Zsxh9*zB2bmgDmt<>my{fp(
z!$Q01L|?><%SVZrxyb_*k$sKL&FcqapZ*o@)k?XRu+6Z|qQXm^>pX*O3s=kRyG{#T
zN>gLwzlXeu%J$7mCj4a(W9-Pyctnd|H<~Tke9@0N>-KXymZs3s+3#CZu2pMl`jNk~
zZ^tSPMeo$CF=fofIn)zow^1?7hLRCtO84E%UNN)8lp*=1&Zh0{&$Q!bYX`Ld7#1@+9==zoIrA}on+t*h0H~dvS4Z)l_;p#7=!T5?)W(GL
zD2dtc^*H3Eo3PoVACcu$7+0F%uv30>yBM$Rd5Yls4F%H5$EmfkQFr!M*1h7QV=2`l
zeRDT{uNX7`SW#Y9YeKFAWT~K0q9W*p)3SL}pQ`Hz!QSlOdqti4ifbLVByG}p>RX%P
z;yn&0SW1}pA2p#I<)V6o9
z{Kb!6$oQ`xMUGCr+*_v`QnBMB;Z^YjIif}u4#E>yfA9D398r$gcet4?NyLFnPJ>ap
za)aLFkk6IZEHPWjuZt1KO--KJ-Bi3DYERgj2DDB18Qi`sQLyPNeR-7G&DU<+DiXz1
z#AtQ%
z=QHv~WM23|vz#&*u=`xNlv@qF8Mz8aNAyw2ra7G05KEP&AA&s&^`IgnD8cyY=`1XQD
z0eNj!L8dAyRH*F=-FprwEdD4C%qhh4S_%cWJzM1E|H;ytV*6!%sHS%nU&ypJMe`?0
zbjYoXF8n@K{>9zjUcBM^#wo8W>MH3qI_z0Sy1LPl*Npm)-s#qha5_ItL-c_R)1f$r
zpksr;3qJ0lcwd8P-pC2<1Vse$*&-PDo}?``nQ{TAe6pJXXoKIy?6Ctq#FJOaLW7*CbJue7h)%=ja|B$kEj@uu-Y3@SH1$Rv0YL6FcGyEWYOZ&Iu0
zx_fA!L8FU(Xigz@$y4vgk_Sn|tLBuKvvct}=Sn0-6HaFKC8?>@o}Q+%-4HmK6`x`x
zY(Nb}UyF{4YJ}2{{IUqm<-rW=jc;bo++s@MC5NkuV*c{>u*RhOy6Ld9V$zucr;q_)
z0CGovsLT2F``HbBjNptY;d5)yOvQed)$%Rze?QUTVFicjXaREZ6XCwq$&)>mE~&
zo!dp@(hMc6U6{4sc(bK+W)-aztDKzY4X^UxB|IQY_yPscp2O^N+U0%Tl|5v5H-4q7
zSjq5XTi4&;FMePS`;e_>1hjafa@d8QvGMUDhZa_%PT;!2`|qKM!xI6Z2&BDOd@%X`ruB{nXsAS1c
z1epCQw2TcyUfYrLgeZY$Kn1xu1Ps1|2fy6n;M|p5Rt67-MFihZF9g^$9Q@CVA$ekXWT*>P_WZt{X6J%nApCoc(tQ!mOore)9&#
z504$i^{uPiU#jbi0rruOe)M#j9IrcgGl`f4qn>u;?rvYmD*pwiwgw?}@EO4Ms}eN?
z@#AYPAIT$4BDIo6=#-Jnl>cc1&vi#c5@4&)#^|Hi*q%g6AUazca7t;jZpq^7Y&0!H
zL)vdKHyZ@IofQox1w~8V#6h5kWPz(2)Zg#iwY6GwF@!E
z=#$m4P&~1Vuvrc_Ih}a>(}z68q10Zd5yf>0L*rl0On)hU)`5kv9B8Gh%SZ_ec~l-;
zEZ+S0vC}*L+D)s-7S;fobhA0frWD+~%X>U3dfo`L
z-O8@A4zlHGgIN%AvCDuIrKo41R3V>sU~rI%fGh|19u+2*BMWN&GQd1n?(BDFT&O~h
zFWyWGDk1VL5}$aNSz&U^%U5vuMFOUn=~Di?<7Q@bgzB_Lq?(FfugK?c$V4hx%yUf(v1Rwbt>Wp3LW@D7YL<-d$O!b6~wZ|1`#Jk(s6LrS@trVcTqMM$(Q02e?la
zSG=hWF1o;^b!chLqmHcJ#&gG4FV*|v2;8H=8V?XvJPHuZZb2o*)U-4tYFpbtIs%Ub
zbw9rY_w%=_K9xP=()>)G)W+-HQaSVY@;P9^AM9+Fjni4cpR#>vMQQbqzJcA%Zg_r3!5l(3
zC;&v1ZeSRyP#AGe=2$N?od4pv4uu>AbzP``jSz@uu8Cb`GN^VrEZV|@RjX3eq9b>_
z&vx(WU+A~11PRr3E+L%^y|evsMrs-;U=^k@$nwPS*s)OH#Ow8aZ#Vv5VQ6(X=>re+
zoIbJa2vG!072;D3Yw06CyQGC{rVL%$pPFoy^HAnm%x0JX?0d7ecCHmJrXsdy(@h4p
zC<%D4zjXb-v;b_$k)(8CY0R{?9-CR})N3x1lglh9xMEdsX1cR<-0`Zl!1Sax#f!m!
z!!zZju58b@`2Z|)j;2H(-%`)Y9;8d@t~fg@eugj1zqn&a9z6a`pF})BN^&v*aZ3ZH
zU3lN~=;4ZtBih#ygqKhK-gvy%!b>nIFY*3b_>JU?Y3`b2Nt=em7n
zb3cN?pMgB^gq_k$9+MZ?r}rhVMMh399z^Mey^@-nyMZ*)#hDNW9n4067tiR5k0*W`
z!R+)6{7Z77cb+>+n$?qi0GN$ORUh(Cr
z;!hz(j~L8f-<+H@p8fmu7adb=_Z<8tS_m~QX926nEiZHj*>{2fg4lm8Z{UJ0mKYDr
zu(^AKRs(X)OCviSKc4D+u&s*K;3g(J7zVLu76YsiP$IcoM1;;s=h7U!JubM-bg^Qj
zgghl+D2TC(2zZJ;bCn^Z>Oi{Gqtu1vy-{s~PPQe+z>u013LW^5C%4nO`_0_@ARn=H=?WO#}19eG<4eFx~1k~;6$w`>tp
zZcoFlT7Gtvl@j**W9OQ6h-tmwurkc)8GB3f%SN|vTa%s0V-oZvDQQB0C?8q%xIO6!
zBTqI&c6(jv}ptf!lyS9~&Ecxq~@e)yJdUUdPIVv?4fTgCRxPRux>pTK&CjsFHR
z9J#-hjg4&z4om$A53NTjZeVO2g1KGo&H4NYeRnu@$_@r>g_RaBp4_o@y|OUOB-kE1
zBTTo7fTIrw
zi_r(imqR!O$(!StLKpb~C$A_iQDM^Q8QgTxgk6REAx;uPqIPKy>292snfYR3%G}+a
zk^LauF^Q>-le%toyH-AZ1=B-m&JaZDhaaXQUdK!4yc>^+iBVM_#lpYLeL@m|#0iHi
zg5yk0(V4FYH}D)Vz9uOW-k9*|R;B{gSjV`nE?@A*N-tnQg(qKe7C0+ASHouC7K@(X
z_SrK53a+?01
z{d(s`x?zx2`EhGg|f#@~TGJ+l<8W
zP`EP^64f)TNR()Mq|aB;@H+=xs4q4cNeBYttV5Xn=-C0d|M?ExHubx{SY^
zJ!zul<;!}MF@=t;yy#Q~?)B5Y0k)CyVYJVuvM8sKLDp=F=cPm3tLL)9P!Qb~pkdhK
zdBV$fz3Aet{Igviwm&LHAC|G5dF>6oC?_9cm9C;ThF7M?&x5g1K+m2W)E4e-RIZAP
zM+EcF5bGM!&~#)Z#wUXBVO&Gk!CYZ9(5OY_$;+OMzM`e2{r>rh1W5osH&N{+BP@TG
zeMXJ2;bsfX1HE;ZpHX0R`cFgx#XJtxAKrt_E}zXB8px*(kukv@FDWv51y)j5{FU1D
zMKpOucF!65@5)hi8_y0v#u!@UyI)NDFNP(jD!(po#KcDf|k)r#(vjBlq<@vnLVkbJa)W)_Qp>={x3F2UaaC=Jk2S1(85J8;_
zsGxqqD{obXrZn?M2hTZr&U;59G0{YSU*Q5P6oI$oceO)K%i09-+|aqag7|y)!pYJf
zosDkUQ|8iJ3r$xzl3&XBFSK7V!l*k{;Gb94R`ZVGXKo-qcZZfmx_d5htQM(_ONhp5
zJjA3(GUt6zF*lsMMk5wO*hJ^t8+8_6UF{>8;zk-hI$WCw4n
zV%+uSk<8PVELH=LvnKmh_qsejorg2)i6R#R!&IYR&C`bw=d(lfuEh2q|6XMaF$361
zU(}l?H)=2APmPAPTG`LXu(;6a)&TP$vCoPKOz3*QDDAK
z-F7G)f|A8;B?>*I-QSr};^Shm5~LBN78ZJhfq?;Jk{MW9MxzR^ntmxJ=R3I#)=!}t
zM{Im~Y2x0Ts!bBt^ZonTfz?T~#!rS)Z33xP@s{!yH|#Fo-*058h|0*kg$w7udS@9&
zY1k_(Su>hXPx3Q6Xi;M4e7iRS-15kOC?nX>A+q@(^#i37*3ILe7p6z{x59=
zH&0CjtybzL;k>&9>$V7fesQ){8<|2{t0_Bs`_E^Wa6t)0hNy;)47VkJ@LaBCPR7r?
z5V+olZm^MbHaRaRKHyVnXl52p26*Fo116-5e74SuT}|9_1A5Gd%(%9uhKPiQks8`x
z%-yd|2V_uu09-o^a+|C_esq_vM=7lV;msuP<&^ClAB_*^cOIfJ_iiY}ykz+G>xWOD
z-pTM%)WH4xwx$=x$3+HKMQKAp$6#r~1vbk03R`IDIn538t0h{DWA=jv9R*5uOq-H{
zVL@fk0FNW|jcS4{1q=pdwIGp49=2_*mklt7t-}s=(@Tj51Gve%1r+=Z$`K^RuP(K&
zl6t=AUWt=i#E37R%{+l8*ib=Clv)^OvhDEq7Z0`nk1B7QhT7Qx%yK|=7=goT>wd3B
zF{-f(9+(a}S=)S3CVU^)2Hm$?yoX;ugD7|Ocj@G$hgsgsua*IDSt4gg`>Ai75pU4t
zVT)IMSc<8+>R)>iP0}eKEG+yzNP;byeV?M=40A_^oRwk5Um6j@V)F$7J0@A4Pp5I0((K`l!B3;el!v;_u7Skho@)FPpw6Ljeo{#*Tm28^Qs#9Rrkigf
zVa-X#A_2d?Ex(IDmN=^YJ3fmI16vUXY
zJr9WE?~&HK`$Y%7C>t@GQoPnVx%GWf;l&)6CU@xGDVFJ5e!s?N{YYI}5DZKwA?zJQ
zZ%)Dsp;|3=JY+I454|ETzE!qPQ4uc~7osAY}RvhTL8
z*>(Q|1QNgfbRT`#E-$}@FK9{XpF)SX4Ak*>r|g%(YrKjFkRDXR|fUH#bms(W}0MG`$EZft#oeF#KrJ^&vU46ar6o9eezj6cl`mUwrvHS3U0YXAs`ctX6L-LgyN?Xy>ujU&cB{BAER+D9_lCI18AbnM>3i6%;kitxm
zCrrt$HjzgKdU`4+Tdl$mUZ6%9Nh%cGpN!Od?4vS^CDG8hZD%4bcEU1j(v*X(z8G_*pe&-a@<9;|Wi&5{1
zyu)r0hUTclGc9Zc1s3W$2!Zo<5h~>vS!={v!0BreD8fCmF*e@!Hya+nH1qxr>V_(3e*h-e{jzSRZ;p`hC;mC};hGGwZ-w{`?_Xkae!_)gaMh*7)
zC_K&m!=-$PBh!~UW7yMun-I$r6EM0b|9x2O7mj3Y4(*XZv?EfOKt%Un-JbMJ#^m&c
z{558@`8p|QS8jSCarQ))*)N;p`z>tRZA4;(s4%qX0pymNApHSQl$VToA6)2LbEi6|
zjZyXsg_M92g{7G^OpkmHWq#v~yyBShdn8H4`Y74R4g$;3J(#!S%>6BzT2&pyN!rX*
z&tKcJP*|e?-JQ6|E&_GnErRj3{Oz{--$~TZoc5&xIhOP2BfwVP&&*Vv@G%4_$Qm;g
z>5d4h`UPAnULneRv~_gUuJbAq#3pBF&#F{yyoJF%37$h?hV>Ilf4;G8PBY{q7q{yr
zQ>M2(g3>0G>@}?c4D44LsOFjEl@l&7CTl9J?lkzvJ=Zd(2rX(pWFQTv83xHp`g>c7
zSBT0UOor{!dvJi3=&~?oHPSy8sd4?#qr8L^?*mgqcdZBD|DkSSasP{L7B#uzJf$fy
zTegYBzaQTC|40J=K!Zuf0t$cqjXpgEwN9Y*6Da(lV?|qH3*~iud?e&*c1Ve9+Z)%(
zKOn8#aGWaJOj~|_=h^TP!kcSES7_jm{w01r3a@BE-3CD@xV5zIh#i=c{fNF3J-maA
z&kr-(rRPIp9RCNiQ
z!wpeEhR2u?AXASa9&O0zKCo3ZN7>v}zM>&kr@x$D^Tp>i!~%G9DX5)bd40#R?D1Y3$G@K)OEcxGW0D;u)-;s@2n?fjGF~;y5Kj)EE
zwz14len3Y9w-G(y_I8l5aI;QOa$H)Na$^c}@cy7H+mGsipsZG&6-q}97NI3F@tIHR
zE1w3spPHrVBVRBT?{y`^_ut-NO~!|~g%8n;yR_PT3h&mxCyAvaQhEfG+Inb!fnxPx
z!Evl8Kw<&QiLJk$j_)RGXiyg4k-T;;sOF9bqro|Y?h5^sGj(r2NFJwzq^xcBwj!*tB$?@#hYPGn65dJ3a93Y7JZ)iX{
zY|=gcmmo<3_k|tG7gpF#N1tD>z!%JXS~uxnK*&@~q&8G`JEtPAIk0WobOoP-P`>>k
zLfll_;hLuTP*%0!hy9xg2&HL%^i-Nci~HR#ypxc|;~L2&yb%`siOSl)rup~Y^B~?-
zt{%xFH8DebVxT*|rTMv$zHLG*8?<(MOR3Mw?4#s5{KE~_lM^R#ccQ<2%yubISK9}BOJ0!UiJc9srvAMtTZ+uq-Y
z;im1@lQ&Mb%kjq=;>-yd&zg7@M=)|kCcS~wZIb<hjhZ_Onp>Va#5WLjZl9V?%Eqpso-bu>qEik7%{GcJ)(PqfNF
z(?~uRdB*+lYul?Me6w@$)vH%j7P?-4Sy|pq{x1DT?tVCvx=%^z>zU5r=XUQJ<2wd^
z*H&;Ypv~Zl?(W^Hk~I=@&-`tG(OOShC&3ea$F7ekSxP|J3W%f+I9$1r>6JZ|JVo5A
z$N3o8kfIwtbgL-h6AT;3Cn%Dugg8_88x;%Tf+^cl7EZJ6d?i{P-yKjxT`3CNe?
zc5WOA@=n+$JuBVGkdg15|Ij<>Rz~)i^K(;nS=FOLiK`z?@OJAl8%{+ui)P>0%(vr=
z^2bw=DaZj?WtuS
z4A3MPdMvjcCNkt*UUxk8$;gPDNh5dy;KG9xjxP+e`gr)Bt`CZ5QzbJb_dp)Z|
z$u`P-!vhr_DWu0m02xGZV`Gkz7zRbDk`3*QUw?RiT9RwYB#62WWJ(Cs0Vt-ymVpS!
zqqjcR__N^QDb{2NpRHO>ioYK{8-DHD9r+C^nGY7({c(Av#SzCi5?2K|rb^qgvg4s{
zbWXWP;{;D#(P25g4j9|hZz`9t=w9XnMs!vFt-^C
zhQzZ0W7?2nA56-io)S6l>vjjjN+1ABjhGCMtgy`
zxlSuW$=SK3YzzvU;Zq$%>F1wTE@94wN9kv6*0*~n1s}1X>V{x5Yi(;#tP!}v(5Wm@
z6G|BM^O+fPDy;swJ<55LT(kb)T3!wgg5(r-zgF~z(MCkiZ24$*87WqSAnTaG>|RD8
zdtd(iMhGfM_WK~x1)zLt&e7J&LrMBB?}RMzzcKbE&|I~B|L8Vmh|Dr(o=HL?W5z~g
z%21&qA(BuEl}s5+lR~8uAw|YYNrMK%P3AEXWlBPd^SRvbv)=cA);Z@rYdve-&syDg
zd;j*n_H})~pXpmQoZ~fc>Ec`Af8Or$5+y&cMPu5WLZ9;hbmB!jwv}HD_#?Z_y}nP;=;k|zOnxPyf{93{sL1`GnH*DuEHGp0^V-Pvz%n#lVKKtSpmuE4&|
z%q@(kY4$%_pA}ZtWxqOLdHJ0%=d+QKZ$%5ZPRd)zeH03vuie}F0L*nrni$P
zs?UZZW`o@?Yh-9A-Gy&qIost>UWWG5d+JDXXL>!K%E-$4XE-S(g_c5>X=zt5>YHep
zdAY4Kz;K0n&s7G>rToZbh_{@)iV9!4F>#mgI(R}L-t-83I?rG{`@*vQFuuOE-6!XL
zfJ5%_DC8Z=Ian{PW`s}7UFb67ac|*s`!q=xi>H2}N8{61g^z5td)2O-*=k>uS*Bqy
zeM~oq({`oCM-f;R$fNN`jUX;BZ(**`^68Tsc!L)*=J?J{P@xNn=>PBh-?w9@LZ@sv
z1a|(-)ArghV-Zrxm5CRx5xj7|3HjXqnCL)Nm0fjwd8PE+^{euOW6l3~(HD7(h)<5)
zM(<7&W8s_5l0ZT<`u9ttp~L2{2n>R4U3l}5itEXq!7#sjkvdAt?M=JGKV~ehq6q!M
zdXN5Srk}6n9Rza~ET&mXbu*NgNgKd%P+Mzsa5&-9#Qlx;=nsEfa=rdb#~ph}j+FMx
zu9(kErcF;AhZ_%L#`Yk@{-k~dn0lhMt7`%DIQf2U-5!J-I~05I0uuT%eGH0&2@KON
z8tKW>NT<)xZMmiez3(Ym9UZ4x!=G)p6|MHR)
z4$oBx95KenOyMpO!|90~swz0bk{=1j=nfCC!5*+Y$@MyT~m%c!{Vq3&-STcwn
z+*^@*6*~**{`e1myBaKeFT#y0lUO+?V2@;@mZ-dqXO};R)G+jE5EjksheIbn2YP2u
zZis(~BN`D{C>Q*Gbl&=p7NCHs0KK*w&PkNt+?acjfP|ugw{`e^M7;)}2o
zR247UL=EW`r{4W5LiNMqMUL!Z$cI52YYDUSJfyXm=FzxC#0x||dB*xDVldpnYMkr|
zdo2>wOSG#GUa%_E-Ta_(i4~H~UE8xZ*rp*XKls1+vq}sJI~=KiWPvCIpM6dY`y)y1
znVx$mo=OFNJ0d5L9+|aTe;F0}d-(3`=%Fyh0GrxZWf23tsnkB+%L@KunV%+#p3-(Q
z?8*xs+u;(Zfx2xb59v$Z(%3BMIc#EsNe94`e-dto3n5AHnpg|
z^G4tV?6?GEhMmhF8X_KEURXSD0eUmvw$0AQO~w+NW~6^;Xl31uv5Cu8CJdQ`%n_B#
zqqltDE`Cpvjar3Bw%L|v3k;OQi7~E)dVQE5vv%;WN{mf^Qa?7p3~{&{PMno`p{1R!
z%%I{V>eiyd-EyB|6S=1I^;mF8)l{eb+VuG*!G4x{Eqz{6=YcLRYdM~FtL57o;0!g&
zCwO!46Ks_D;#8kndw9^=)S#)DMj2>|hETmsGzx^`;lpZBI#CeEL)T(DelI`&*Rind
zD{A{#hytZ`^k`^E*~%&Fil`=|0qHA}vTS5}>;VshD{z-Y
zwCzmEWl_;rWwwQngmiN=!>LxOU2oJ(zFz-;iYlF(xBT~i`o3TPQAgBx^~A=;pV(Uf
zeQoSGWy3Mq&1?KL`-#KmPTJkpJ-=8iZ;$>JUsm>%(Qt9wA9N6B0-Imj#`o(VV%yD|
z;^m=s$$0P8K&@iJ`2Yk-Lh++wz;=kLYAnnm@T7Iv`*w^YX38#l4%<
z&ffUDZl0n@ZqO0h3juWUJHI`nldsnbN@~J{cGW?_%-Wg&{n=~VWJjb+=j_Wd`O;PR
zkebHau1gK{9pQuHHT{gsjf}d}&$>ISYz-Bmiy3-W{<7xY{DLm*YAZXwC&+ZSsX1n6
z9ZHyW4Nzs!rO}35rFE2TUv>Xmi$6no4Hsj!y(LII9*i66%hvKhMQFI9fYZ4XzV7Yz
zlc&%)zY%e(B2k78Oa+7WktFp8bKUX%ltz+_!J%8Q$+jjjdc4_p=6X>aS
zwFo+9wS3!WL7!W}w^I^JjF^()RM;_QxtDlBDkonFAsy<)M>oaTZzHa2*8NqtQ|>%Q
zcmFhF^~0cb5N46JLuSs5J&0y%DO&O(F#k4?hlvmzBD@SV0~H;KD-B{$23G4%HYP^>@;q5wdgix-{*m>A(FBkf2I2
zos(RZs`?#gQd)9+(;M~MwpqW`|c{d+UoVrVE;8o^fx#Rf67af%D5K@9QgA4{cF#eO2Wi0r92^(@nEpW
zNa|U-?r|c+qWo^$;ahfppPHGJNRY!y?*qe>V9vIqW1aE=_)dezw|zZQcs1Nyk>K0F
zr*@zUH@zj5aXwlG;k!w725-71Vwyp)#BdmprP|!FscI^JnvszX)tP
z|Is}i&NipC?Z2wuw)?p$Qc{9z$xMJWuy=6c!k7KSD9U{8OJ+-v5(CLb9)DW(=iV0w
z*0MF*zHo?p=gb*-3P+Tya}C=$o6Ut4Rl6al-F;%3mp~)ev;$dil%oSShU3Mz>KKRgcR5+5#HJ-q
zge&BW-1_to>QIM5HwH8|r+EbApA#ISt3v4Lmc^V0T6?)NsXc$iK~ZBd@1gxEcuh#I
z73VCF4gMka@?9ugUl{FwXENGXwmlD?afJ^u=DyX<-rfcC@QcIo@W#zrL6!$`ke(Nu?7aJl<)vU|LUwN6Bh9p}DRokd
zSoC7iiUw`81-oJ`!tLzsKSL&u$TH|xKok6C#VeJtXiAQY+?*h>J+O^!f!~VkLCV2FN3d~}NNtNFGUTR5q`B^!#M$J@0_h9=T
zR}2b7B1G+Tlyq)fU9(V|oFLBy?ZEr6oE3E^yyCF4Q*7(r7MdQgi_87iYPB*$_qZJ%
zQ4bzbX0%f;ND%Uf@*Rset%P3T;ai5AY>afICGVR-w)ZZvjgpZ9C}ff@x4L+3Ji%nU
zKXpckDtX%Hb`a>Hvn&(37(M*vb>!zGv?Jq0Ho2}c`cXhYl)>>w77tk_9OD?q9-QqM
zgQ&~=za9iWo1(M4nK`$Cg22Cr_=01{9*wWk^2=0RfY^zai(CFYN*u_0sLW5pMkfz^
zy?^_&dYV=D-PIJl;AeX}dOHn%08;+6mL^9VWlS-|jlQS=i{X-u>_1H(1A8u2(jBh7
zc^L(&cumXP3Nb>O^z+Rs_@2sg#IJT#;&bh6Ixo1wU*I@K4U=oOKqMGBnb2=7Aeo%*
zGts>2llSQ%a-pziZ95t7EL{lOQ70oR%&{E@8Qkck615v<_Q3#|m9f=+^3Pp^$$V-b
zYbANT+F%7;ogv%*KA)SDb7m6EE*-fBLZ{D6=DR5x$!oX@sWR1TT)PSx-jDWpySSxh
zi8nLQJJ3qxqlj_)%YY0=MGhgckk*bGrq35ccUym(z%`gxtl)nI!f$nrlmSXj#d9t9
zcmDHzUjOgU9T~4vG*NPq*byrHX8Eye`8gNYOAKq>ylL6+NEW8+`^%x`!`8d{BbyYz
z{}+SnuT~jnbAr{Sb?R*mUQgY1me*|fVr@3I+vw{){Ohr@y+k{o-;o7xG2|W0-H(F
z8m>8Tsb!#>T;FRLG)IwU31r7THnMK&#`?m4Do^0=t`Y1vX0eDP7Y=5##2edncCbex
z50ui}2_J;iKnE_Ietc~Ga$zkF@ZB{?T|EtPt`U?M;7EfZ3Yc7SafqJyY4zv3hkiB2
zX(7>u=YANi{7Y11k=GY~U3BpGxKuwU`rtO3=_QR-be;~&ej@qXz~Qo6x;;HTC`dtn
zs1Z;tm7O+E3m!Y)grj5>c3M;Ca=CMm1xx?+Rt6vRd=Q~7EtG9;rmR6l;5V7?`7PH-
zok>PV_Ou|~+oTf4E~+x)(|JwUsaC*x27^NljT3{g@4DsUjk$KKgraityEp=WEsu?h
zo5U=STOe%@NAX(T&{_w((!iH5P`a{d9UfppDZZ6pO?}=7?{ZmzTop8&PKm@2L*UWVPRp)iN|(Wy?ds*>4z5|
z1r7CCHMMnDJ?k3&KF>%)8?(}YXD@5q!?&uL!8L|erI}x|wYvR>6u7L0w5usK_RqbC
zMTQi*ldqifdu!6&Tl$b;xiN2
zMnMga-}Wxn|{?3%|OT{9i~)!dU6x
zg}EW9gW2OvPeZr;-UPzh~t$LFVvt?e}xs&rVF{^qo*kM=5
zuHw(%GJZRnn==(TD&u^+dfz)@h0Td{>bjP{+wL$6>jzLt#B}rs3i_>Pe7iC}XeSp}
z!-ilciMkBJ9AVw@x-jHq%`igD3wadu2_av2G4U{Fp6Fi?jm`k4FFztTV_}#m7C1|i
zJJDkj(*r(AUj2-elv8LIU12tolan*RUkRDeP_g@47YB#SrCqgl{LgM@&9F<1=so@Q
zwnI?xT3im}0rlulAwz0qi`_2u8tdr%RCSNP7q=M1s`+q#*#
z9?Hd%D+vS7oRw{Watu$bInB5}H`PT_IP3M*5Bn(tR5BH>5z`H>_G`U(fyibb3q^wu
z$hfeU{=%LvE^!a}{Qg!VhdwNB`7qDqn9D$^f|;MZ8W~M{KKEdq3e$s$@(p7CoKh^o
zkR`rE8?l1YYN$VRBbn1hm{Uv1f6{Z?GumX2Z5s<(Ak=3)ZF%CER|T#cav#oKkGnBZ5egVCI
zGZm|
z$2^fGd&VT*v{TJ;X8_x`R|#eVSN@^Gp@LaUBS<+7l
zP5xz>lP+C~LXBGco&WK*UyWxzC9sB*GChKC2m$p=<2JsdzOLvNk@uC;vO>mv0$0*mMmnb&>lNz>JhPl+9YC>4NN{YTabPZ%8q
zf5!vp$^27Y(>|QwHMF0%_28Fpj9V2|Eq?Mle(fB*z1o%8*VhNgz!KBZSGb7-wjAG}
zVwOs~+%J*R_s%wWUeKY>@bd8)ZTRfu=(xu|B(>D^*06v7Wt9d`^~)GSjNsBpj2_^E
z(yrdC7@RJ#HSRhwZ3|eiA46hg$(;JZV6fou2?Nno+Euv{FeMWk=vG@^7~M~!2=s1!
zK!eRrEi@?N`4ifvM^oS5Jo4bM9sE9F0iOnN-NA+_&g3w^T&noq{P@XCH`)udyNrxz
zA@e61>05;Y`=jV?IDR=-Qfz8+%fHp{PXgCKrE#JD;U;`%
z$qAgWL_S0O9wnLwsd^XZz$T4%k8~SZeewo^y3V`bQ?@Tws)F79-p6kD3sr$@@5v^P
z53ku&{mZM)*v#xR4B-c-=IZM$w?KgD>gpPdNr8o6tUK{4eNJ|xkO}YdeGTHjOThxO
zp@@-RY3Dcu6K}$7F@9R5!&LX$&E1W53z7j1j&q$HM99zN}!-=op%j&S_7&{n&
zI8b5zKNEDoF#Is-xEH1*E)T!*_Af5Zwo%|JMD$AD4mf|`eD|L+7y6LH-p7Fj{$-!3
zdHuSgI8Huw+uhR$0?55JRV?bGDRlMf1^bBZ9eBToqYR9*wDJ>J4LSCx3wCuMWH77(
zT0=wOeflKCM@Ls-+z(mcSe;6aMcIc=v8y)L{?b~ZXmD$F`lEyDf`9%D>Cb#Ei+&Sk
z&Yfv0#GM%t&1`9X1|m@54Z$3grJJ{%Gi}kyrs9=c!nAqKr_gcTEGuivqtE!W!_tz2
zgzp;GLVhC*&bcmcab3>fT&}F+;eA&Bt5Qr
z9sGbP<(2P7PsAdS#;|gYd6rlsefIO4V;>U@Y8K3v?%u!RWp<^4l9{L6@>|zq)L@E-
zo(-8?AuphzMeGC(I_
z_PcqQxFS%!Bbbju1<25QO~2d9BkG{PvHc8lvGi#Fgc8j$`JJQMvXT<}lJZwn@y%8t
zgv*-#fRO)z9dYN9XSewb8cT%+tfVH0QxGd6w3(Aiiw7+xsmwisqc^N6VdIqS!E9mF01l=Tae*L&l(+gZ}oWjeUg6WUk
z;R8q_sjkk0)3=)`IlBXS3X>318*$Jh6t(a43casCC&5W$1TgVv;7^HPVtv3MF<@Vt
zRO003mh=^}(VN$?L>N$PeZg*h;3QZj0(aA#dO7GlH3ZA5e<*x@!1>_SONr7#8Ys19
zA-~hsZIccG%y$E!fsn)W*OuZUa7LNz+9ir-LD~e*_BmY_SS*p~TL@d#@|CI-%#}u{
zmLPG%PDKY49m12WtgPT^QWki5KJ4Ipd)`1oVnh;JYgpP0fgg~knwwvq^TFMj)i3aI
zeS&&KpP!cYR?iEmsezX%jVoJXx1J5orR5Q1J6CNcw$N&Y5Xe70i+?jZUf38vm0_ZV
zbYgYF{)a(@NgilQv2hJ+dXbZwgf6~&SB()PWl1e2jWAeLEt8Qku;9e~W5}%^yh=r_
z-?P=6RK>RJJk)f`^mO~=74xB<3Vq15
zF<$l+6y(GZ2|Yx~UqYW2x<$4m;=s>4o2Myb5EGq!i0M=~Spyhh%tpwwDA8ltU9X2#
z>=erf!ylVnr5e22-qni^OPHr)>XX5A({Qx@Q66dnT6ZEzK!(j3vpS0=7l?u2aC-sm
z-%Ex@ZRpX7XAxQ%i~z!@Th<#lZV<2)9$`yI$5^lnVmMF}Z_XTQr1#Wy>P3^BnYEI5
zK>hpa(Xrk$@n^QAvaf4dYzc=y>k{!she&+8OSmPH`Z|lF&JW|Q&{C3oRDe3KQAw9q
zp4UG1)6=`Xh#BjRl%$A1L2i&LjQ&UrulR>$`St|qpnQQ$s@|yB>Vdis|UtQKK0!9BL@|DJ4(f*SFGE=}03FzkyB5|ui*h_0z{
zXa3J4CH4R5NckHo^0X&lbNEAAbusdJi0j_d`p5f4Q&#ZYsmbI|3-X?#DQDjVcpxe)
z9()!dT_E%w#mP-Xp?FyJ--gV$YQ}gCWw`3jR5r!`dypqiV8-gE{p18B~3adDc!D!az+@LV@S8Aq4S)uq)&gV@D
zAXm&dJxNCYb-Yj%ds2$iMRl#n955mR!6B>F2KJBq@6
zoI$X+|MPVdyRDi!@0Ajmv~Y~O;neeR+M;IK?-c0%`nmt)SSaR6chn!1_@PolpM70+
zy|I^=kH(ct=akNvtUllMiRUvzHO
z@%9CkeevOx!cBb-IV6>x?(^f7E$#q$L)c46{a?A%aJ`LgixU5}q1V^u5||*r7FRM
zbS1p&vFI_Ie&QT_r68ng|9KBidF;Mxu=^6U1!b(dqmO5iBd3rss7pO7odYcR)ik}%
zZ19dr^dzB8Z*QaBp2axEoB2LGWjyuLC3oa)P~jx|3L*F+dPl)Z`nqfn4{%Lr&b4>P
zWCzI84YzGe=vaV{^S(pji}?t}GY6C9D5fbx+Z2wh>c~0Pdet9-Sw3^ijJ}PCG0}n{
zi9u)Xh7P+FksuuR>%Z~+$OG0v_)}~$*&PzPF8=XuU%g%J4!roM&(BZXmI4~le>A>q
zD8L}-duzk+%|KmFF0NBfzGWtbtoP?=xig!FA50mXhd`bHwpDW%?Owi8m@>Y(Mw0Gg
zY4DkqBUVt~Lc6|PK+PE37f;k$gP5k*$~3iqWT)4lSR5ZXn^ymP^%r=z3XyV8#F7Yn
zfYuKBilx9|sQqMAw8ir%wwb=Vx0lx}mreihD!fk5aPh?P%)*Wa?1UttftYBP$O&LA
zvAeuuE8lq)_XAAS#p#DFyHix;TP;l~IfZ`jYHAz*0%`E%ql~}zyG{TGdm!ieJQH#S
z|B5@spEF#{G`(AUKln{xd?AT@ptp&#i~h^vQAID=t%f5BqtUuM=_zvP5nneV
z7&c5)(XGV5vyS7OR>v{IH!SnU4H{U^$0x_*avh5vc^TUW7Hzxx?WasFPEkawonoH}
zDwa4Q7IW?#Ps#BeG$TGJ_GgLc4PC$+kxhwTkCgi=fBG_A&@r?-`Oh}Y%IXvkjz1#j
zAF}zNY~u3J;wzW9G7+Em5{v&^v(78s12@F16;w_cXX!P@nJ+uU#3i3zM5|tun6ujH
z{QQld&!ag1Ze+He(lauiW1yZ^Qv|Bb36P(@Ky1&C(QoEPTz
zXj!MB(f7E+myRNJ2v^5#mzEFz=PA#%vkj#&tD+Wo-68`$#Yh_GX-By{SWkA|4X5cp>kB
z;MhFZMZ~X|ag%J;XxRMy;0rY1ww>(|Y?s5^_}t+Qk`QRw;y}
zsF*(8^|#tH?Cou8HvgH_@LaU0gdrN&d=yEOi4YEoggK4V=TMEI8~3et>~(QuTwz#k
zD|!4x=;sMeG-{^N&%+Tdff;T*Sc^|i>J=k?iN~Z|!71{Eq5)0j(HF+X*H!42+PPhu
z!?}{r7co3VN|S_blHGIFMGG8bZb?sbsK8qdHxatov|ESKB8uIu$|FOp^eq#GGGi%5
z8)jo9Gd1OP#DB%9`pvHguKCHYw-P1P)E<6#;Tb-)zXurvh3EyAP7szKz(nxA>8UMg
znjb16mOTJgL%(bpvM_Geo~F;fOP|N5(XzEBGi?20BGHYbuz$<9J+t@BKI;qQTVklm
z*c-ZWL~+{vm0_vYhFO52zRDYn2iE6fqw_^-Y_BuIn7>Rd
zu>E=f;KgomyZ&FE6&offSk*g+Z)zB;fY^d_r>0<~>VbM%u
zL+S2oV(N7lXNeGJF`uHhTDt64+1<t}@ilPs(ok^F6NJ_mQys_$OM=8nzWaR#
z@qh~pcLC8;*Vb8lab|kU$IDioeUL`0XB7s%DLW}eoI>v_+#-}hWwx)d+doxYK6$CV
z8!WCQvVvJ&0(Y2BmND2#vkC8>K6@J?#NV~Oko0q1pcURdxnbm$i*`@Jy?f75Ay2?)
zaSKy8UolxQW1d|+iHn5n6A?D2>~d?!E=YppuprLwyX_k`q`9m~>X6CfleN?Rzu>J@
zaF>dRSZiS64>aZFsNf@p(=Ss0-s#f%A=tXHnq#kT4dG=wJI?`OfbquqOi~hue?>Ei
z0n|wPNENTe;tXzNa659clp|YOob&D_C6nnQft8iI{K-Rgw0`;20`aiJzfgk_7ws-J
zX-ybMMfSz7pWMNZ{AXW$Z6$v?x0i)daB`w~`G#+^yD8&)W@e_m+>OWtB&Yb#pGVsI
zCxaFO;^N+Hc2=ICETyMJt~~9nAFfyRQm2MQydOX34oP%k-GC%U8^f!{etrT{5;cIw
z8RuMSn{KaH7OC03A@b4ApyzyjN=Fg&84UXJ0r}7|;AoI3rpfRsm3pF!GoG)QTQ+Xh
zLzbcd6m9*bw&9K!dT3Wr(=7>{B_xvt3H!AYTf-eM|GU}Se5_$ZUtq3i@OPo#;a23y
zMjjsB5|(0awVLf2VDpKRc@plJ08P2%L<{~%g+s|1mMA+S
z-;(1^W!gVqZb^9xpX3#O{?V=r5N>JSehcF#vOW>(bb<{Hvlz9zZZlhHJ{^nU*?v`Z
z`H#~kN#)gi0x@fYy5bt6PBI+aqC^dO{UReGurx{q)st70VSa<*)8||nl=~|`D*XAL
zD!kHt32(wki*V}|eYT|5%6Lgr3hxRMx*h-*$!dV9Vpwlp9=(S3$2hju;0k`Lc2rjN
zM(#bU=g#Klzl!m&zq!y}*gr%l4&uy){7uc&G|L&fiT)3bKLB|*Xfr|U#*H+b}eU%D?biz0CL&-EbQ6)22S}zm?Rn(#y$j^Y*?U{KNY0O}mL#xu&rlkQ6}tj!Q}#T)`EW9bm0YU8fgq
zBR$cW!GA!#etVhd-E;@`fK!izFv^XWbj3Z33qc4u-9H%D@k+z_u>4(L
zV5#ALakdQGq@<2cnopteE(sT=VOjlbih=r^YX5?3TzHv-we=}b@Na~YRsm$?k;j~t
zPG8H0u8((a*vEE|d02RIU;K)zbSSM>Bh#$l{FV(>*gOSG`E=+nB;#)~y!AZNiNE*z
zXpm9q>|czS6^6FKEHJPbFN;BMhNa#Pym`InjY~>r$!yKqmFL2iuB54H*XjEJ$*EWv
zcW=jaApJUJHHQR4-v$GTKvxF2gE~`+#wl-WJkQJO@DO`32HIj6%7*{q#p`30J{cJ+)Yd(B-h%3AoLg2
z*CWk%l^1qEZG!`ucS&4w?&Tr~f>;z3^1kbGzxUrR?ztWD9?=<>$m;ex6k$IY$;ny9
z%F0Sd6)C6-7#Uwe1G?#8#3eOZsha~0vaZ{<&{9~LeZUEgH*b!6pUlZ18gD9T7opki
zeKIw`b7csdlK)4O8-PV)AQQPF`C}D9qjAfoym;DFfOSf#%g&vM-8HTi^NA?Iq^NR3
z4tmHUNirE+WHKZmlkm{b{*E51_$v&|4STLAT76gI#6;@iD-iN~#$Pc%mVKRa{xW0{
z8mgjo~V7QBC&csXbIB)5p{mX$=~uz!n5NgLu&l|{GU9agyvXaw9Z^U%2AZT+a?WR?s
zD__)%&%ay!>?KsBK-Y{T%(Ryk)p{qdNqOugvwIl|2}(>~KO@qLpX{{*<$g5bGO0LF
zZms^HpI3l9Yx1TFmb+@K3{*zo8$yUkM>+}VFfRy^F1=5l>Hu4W056iTRP>`04Q8wQ
z5N~3L=tGcOWbjDAs?B50yqV#@eY3dk#m~oY`yz{qa-XGwf^X%{Kf&m3)J!+>T*mU#
zpKI8JMVlBMe)2~kMMYIVZ<#e&dTfdYTNToJ_MMjrOS=k}r@25UznSIhNY0S`@YV(+
z`<4(1nW$z!gMR&0_}@Sj$(=*!b48plY1)uO%Kd*+dK1r-b(Ft$?=^PI1|^hhPcl7b?Gv{
z{T4TlkX2W=>D0XU{Y8!VTzA`u`BN@o;qP{9ZtQKGIiH}g@zkkP$1V&=cqNK4k^Ybp
zQ&i0TfZJpu#z$cJZ|dq^qwuIatW+$0LU;b37mUUOCmN>&FhfH`Tjc7FWs-LWc)T@*
zpwsPiJQkB3;LB{OpGz@ZTN^fg{*G8#FNHr`fU(Mb?#CBM?i2%^pQMbKJGE?4sPN;=
zQrwyI{rKId2zaqMPo+N1IHJyKncG|*-z_%6cKW$kcj>0BTYYBMAilvANHaWi0~cTZ
zM2_=2pNplncwvFYw;Bv`ZFkY#_&Hu_vh}*?sqp%8?aAuwY&nyKMXtG6>@G50aUUll#{%S(;fT)$w)pZ$ru=iF%uD!L$ftrgWc7CZ+p6Y_}=OU6)u56KMF50v+
z&(6Q%7JYWJm&wMB8+S(zl%U2NU>DDXe}mR5*fe@3R?e
zRL;C%PT+WNbM;6zb>p`nRrSEN
z+U7cs_((j!xie?ZAj3Jcc7;CfMv1Fi4=)-C>70qxo7
z(HSy(2gSEbsBFY)_>i!_>l9G&F)_nOo(XE%9L>LNhkS2XkPb)n1vUzmdzJYTAbR8B
zlGs%q`}W0znH`HAkI1qEqz3#0dHH5fYFKisBlhUuzqv5%5s>5%%v64Hzwr9Q^uz!H
z<%n#M!$Z=wSzM)T|4~{+F?l^v55p(`BjYEMKGP*Ag!Kk;$}cRiRa{d)Fzl!GGEsN^
z#r71tG69|Jv(nZ=6sE_}QU;GA<{v+d}ZklJ1*ZPyO~!ZQBW;QOcQpjr#!5f4
zqZhugZgunqu_xX6lmA2}Q3my%e!i0;rCy&iz@o#uigYhJsCF*t6zP!yE(Q0x?QVd|
zKxUIpnF!NAyUTMs+LW{;Mnn%tyu9;phI_;*|NPghSFf^r9KoCv8tN>&$Ox!1<>4(l
zr%k%vZk4#b!;K-^l!N2=ADyi4UGZ<$-tGDYy-pu+rk4mYQ{HjJxHdT{NzAw9w?8cp
zb#>Va!|9&_UlH?0z7Ism_Q$X5wrnmJ$Ln<~@`C?P
z;{^reMLKUK+3{dWeWxyyfqx$#n;as75$?=*yDuewxbI!D%QXSCe&0@Ui_5vn(rfv*
z1x_!Hhn?WrIqo@n^yP(XM&>Sg9Ydc#e1}`I7scQk2Xc2x~`zi7K&ckHErV_xS
z{~N)mT*6|RT2jJ&&k&(J7^ax0Xi&U=?QfAcGgda;MAQH-$Q}IUb(ITd#=1khXhs%?
zSQC;su9bZgJr{gXQj7@$I{!1Op={$fZsA$O*e_m-0oigif_6LDuHR#zl9H33^PY^U
zH2AH}m6<-no$?x3S!RPL2~LD1COY>A>`MO)E|^3`LG~~5U*uU^X!&uAofWu)RA)rL*PCuvUFxG~rE|n_QqSvYqOsz*~
zOCiQBJageuK}Zm|yu(o_Zu3p#Xy}{fjB4ViICdOn;pG2#D?gtdVU`NJPR{MCSsjb{
zEb)#TnuXm0K2?*9c*$vzYW>r0uqrq4b(tspTx6v@st0@=_j>{&@L&>+kXMI?!y
zCn8I^
zI9PT0n+cAIJW8Xj*=mDflReJqn~P=by-uU-4z&0G76H`zde?bH)%u6Sq#DOS%(}4s
zhnE(QI*kIAG`{cCI<7=vz7jBjOZ9gDQ@W22j1oNzr|l`|rCGaYDAnopM#Q%rQZ
z+3+n12}#MCQPW&riyPuc?w;T0s%eM)
z#$xw_!>JB4sY&IIP|(o%JzfcN(*ju`7pj$MawcZDB+AdAo|{gRF>nGfWvt7A=`g-R
zbQ6rRfDra=4r4x^9l-MjOPov?xpM0Vn_c+tHArJa`EwH;LC=X95e)4`6r&$vP~8CI
zUxxMwLY{A9M!OGh4zFElw)?BSA60t!@)e8(?&yiBG%xpD?h(#)&&f*6@)fCEi1nm;M!zm~q@h*T^?(ur-`E-1TR1_Emp6%469mc!N{z?T#U*f2iU2
z7h>liS=l5k7)A;ll`nvf=GwWqb5bIc}xG5sE@m
z%OKy#QUU~M+iSv^>`3BRbWzJI|EfCZDlIW*ekfC&VGnDi&D^uD*z5og&X7TMK_Q_+
zsEtU_rQY>r?Uyc0y2v#V^)qNo0pxiRO#}Ale}}=;+$h3=`0@qC?Z~C3dfEbww1%)c
zmC4U=HVE7jx0aa^$RsnpPSif3y+Eq@^D?Sro|`F*`U?DBl3rPMDl`){Z
z(Co#lsE-OwDL{R}!jUHDr9fu6jO6d}1*1Q+2mm|3Mo{9*;qBoH<4?{+x8H5>OuBrT
z3E#g1=jdg*ifT)nFET0xDL?Q|5hYJd7xgoT^Xd=A&5Q?G*T
z0rFd7Y{kG?ha%79j#b}(k<19lGDgQ(+1SWIbb>SId*`6dPd{U?pDXTWPEP%pzOY*V
z^e?w_a2Qr$=h%zidnHSGf)Bs#-X`o$@R;_YW4@wn&cc?gBPH>Jro^_FH>FDK=2K2V
zK?UD5UQ3#h!>$XfIb062xc(LdR!KupA|i@}(1nRRlZFiG35I=FoQYPLfA!NHJ9aGP
zKYVX3bP)}MN*Y3kJ6$J`c}`-So(L8^OOjDO=J<#g+y5Hr2&=)oe}>7RBuQ=U_Jeiu
zau3`tW|w5iYLGW_DGS59E6(Dr*Bs91!<;_Oz>Ff=B3nadOEW*FkDX=o_D|+K3^>Rj
zPoz1sLe-zDQ?$#SH8dPg$qlS5tQKGgm*+MsxZ5mjy;WxOtF4PKcz8`jKTgo0mGly;
zQXW@11qXzi+h(zf`?Jd>A2u-sNQbN6Oi$w5>_GoT3f=7bzbrP}uhUeuu`I&+!FZ&Q
zN6~=J06j1~cQjR3nDVl-tH^N#=?W&HxT8i!jW{wfi*T|2WHZqNLAzlab98hJ3NuPSTq90E3+UDOqck
z$5q@`hsxsLSz9t>Z?36K;|%*QL@yLi6f6+KMBdwR7s2xdsx*Ro(2uIZute1S1VOL@
zphoTp>Ln4;wTB1HAwPLo{TDg9{5O85j&!$(
zbsQfd-xOd?yLVchrWTm{2=j39DUI-4NgcNpY#Zl3OeHV$=~LABvqe3~{Iq8@Fo~?!
zgp|@bAaEJN1767nZi^V-XxwDh$(>nSk-OPgBp?rHwryTSK){9QV=`J=4#FY-3=FZ}
z;7SflwhLDXd=g&%-a>U66z4VlFi~U~B(1;M?Mka2&af%%v2#|C)a-eQo82iNr>z>z
z<FrO0p
z$RMKObpiVVq37}+xV|)Q3c`+r=eMV%qoG!4yK#;L5MZa$38}dRF(#rL!QktqDPABJ
zjW%y)g-6=f7E>gA=rT2dyeC=lW-HhpgYA?baw2uE$0+l?#o@;iQn%;q#)2(FzviNIaAd!kw
zz6`Jz+hi~>axzyO;p*rfHV%6JJ&zMQTvpY%={QtNo(B#XD)O6(S*HTYhT0&ru#mGE
zt9cbd{ZvoRRP+?jg$C(7g_geX@Rv;`ulb=#gSZPw1%kHooXqHozg!JlO{uOIj^5jN
zIlA0X`TE^cc5&?%I|%DcQO9S-YTy{&myqK@Zt`e_2nqf~kptm25p)&o9@i{NQ%UX~
zeymu;b3OX^tK0P1DccW5XX|1M@bvaJj_XR`>!uf9#mvI;0)C@42=gMED0E@C1D}!v
zs7wINoyGW8gkvUS<`*QcHnz5|NDcwJRRh^m()H`3pT{L0lsTfo7utZe+9X2Wbzheo
zge@`5_1Fi1cP-WMq-7-ybj$9rc;cnot0umFy#Sml)#TcsO-l|RJbX8~D6f^*Idtzb?rmy(g`htQVN
zT6Q6nq`?u|eAXYos3frqMt=CZ5mPaCbj{WOy8$8a?vRMr5Ng0{tm4v9XOH~wl#q}e
zE>3MM;C7s!j*`}+5uXkOI!r-qta=;^k>LtnL>Fn%0dT4KOW9=(Vt#N|K_HMZ6DzqWF+??Mi=Ku_>
zf8zeX(W~FuFT=&Rh94G}k{D4r(3iS#IAmEoH^+sw}JPx2$&Joa4r*Jfv69QQgPBDMLjWJr9or$n~?h
zqoOW%-2?mFg{~a}ME&7Di@0^_N4rxPs*-*09<)B+eoY-v7hEo=9-TTnz`G<@O05-%
zFBMR&3Mq7iV9CRuL1Kn4cp*;~NT9UduFj)>*;sf;56!S_SzL$a?MpY$_q4%cPLZS=
z-?w%7|GteL|ATSvwoJ)6Qc_aU9mgKcZ<@fsIx#4uj{ms^CJSogbsYTsL;j&zzUaj$
z73f_*m&bS%I$)F1xz2DBn?X?NID$nn_I&?p$?34hG?5QorS}kvJS!+8(QF&uUai7=
z_VN}P@;IOuD$J4%+O#`9p1g7rN=-u{uzI+mu*+v366dOs)Z3YIIbC@3b>i!39c3Ca
zvNq0X*vT4tC?zBO(dMOBSa5P$G0{!(q2qPix7TfXHrK_7u$$dwu3vR>md0pVB;AJ(
zA7XcfYY_5gY+Ff`=`E|Db*H1v56mWPjg{6FF9dCHA{$~7zPKrg_0rM|B%l`01`{jJ
zq7lQ`6QVMEooc_UZO~!6V_PfZkWORSo~?FJY#S>a4q*)~${+pqEW}Uneah=VsjR1>
zRvy8M>0@@40`H>O5OMMvBuiLQO#21
zq1XFJhuqu!cf>x{_jJXzB8JCpzGgr6&9^a{WjX(AM}T`OTf>PXkM+>h<*VQF%|^52
zyN*4*v8pn0*4?b3y*(C6bpm>HvtO~1f&iAX+_|%@&)r!$R{MJXKhNfgsXKywrnsnx
zzO%9f>cKVTkC;+Wan?O)QYsW$7Z%-Q^w0E0+FcVh2VJP>OYiB}=*gOkJaZZEijBN|spc)6=O$`1C<@h`2fET{
zNsnpL$^epx+e>iyWr)a2=c&OC<3`(b-cIvS$#VD`*60V^7C#SJ0LdvS
z5<%G~KjhI~=n^$<+S+)K+ILq!;_?pJh`65drB>q(fnaM=(5#1WZ9E|d(LL$?04`%6
zhh(v7a1G#b-^3vQ;)gqx_(;IoMDKH-gwgEO4=^PJG!C3ewiP$dk#re&uM?BJ`I32M
zh*5aJ(?N_pkv{p|>)s!f;(i@IB{3NYPF=rr!g^zQBF-!xGB9yuC;^}MoyVZ@2N>kB
z%Cum)FK;GGdf+DG?%Q|xW@pC}V>*BgTwIgV-A8Fz-$zB|-vQyvh&v8XdJ2x#;tG9z
z{Z$0S>w6rWkekXz!CcrrSo+biZNvJD+Cz3UwP+Scf-7n^w{%MRKKgy$8F3P`+pn%1
z|2k#;Ul^5Y*g_~Y)rPsvZWwkF{Jros8QxZQoqxxCkz-ydhc&lHxHailv`+rff=)%3
z%w~ZN@CCFG@gQ3`F=->DMEfzG+R~r?nW!#>dXyx4A$z7QPsBhZAeXZBV^q(+%}^-2
zo$?!W#0%P&kUfO?+SqU#+*vnF7sKO55L6PgOeS*>IV;i(P*cv&jKAK!_}iYUqFb?{
z{y#geP@_pw`@slViG4T-j&1Q1yMKoddXO8VfC&5A=Oq}ZE{-=P6eTC8(VG(1R8Ttt2BKtbN*cD;O8g4)pbu@9cipndD3F^vO85bK%!W}Udb<5ZkHQb-De=VI@bJ4);jtoG6-_l@%)JqFZyC_{wyKA
zP%WG(C#A3_0)*g;qQn2h9W}S4gl*oo?UiKWhEp)MiJ=GtJ%l$z($L9h%?lSU>>(on
zar$;B)w}=yF%LN18COv)t)px`X>B-?LMId_tKlknvvSKgVP>WCNRG$=vWX0c8-Qpa
zF*nK|$_7O?6K?-PnF1fn
z4HW&RxkId(91LnLH+{Sst-fqI^pYoor{s0ws)Fc@yQi;fW^pvG&-|dNV`PM{bnz&%
z9gF6W|FRKHEkWksr5Ov~RbYnC)q2N{F42`EfcyJ3z3HpZ}0B
zvfcBa{Bpb^IU@3J?V+lCzg6N28Ic6ZF@$UWiR9EFB{e@c_vu%!Ox4@IKT!NRa5h^9
z$IKV@8+9(bG(IyA)6(K=vU^##R!;8Cw*c#yfnLq2j{O@$&3k(?#im(c=R@QgA?XJP
z_m`YNB@8(P6@LHzea+XV#>T{j1n_g~%Qaatb^?wd6c(J!5`cRTUS}1z$^>aC
zw>rpf)TKLQzv{|8nrSqdTlZzh9ZVfZ7c!^1X`hwb!rH8SzR8}jWmP*n*TUO@$DzA~
zcXDS6@7-pcp0bNa!*MR%D2og=!eOT>7%!^3y}z%ZW)%6g4BiY3$<~G8r!E+9(4!F|
z^gDve2&>##E=iLKuo%KhXS2_R&Qk>#5fm!q7rx{7@_HDrX-)++eL&VgSGO!3TKX&p
z*aZ7;N}DQf-$S$s5QGpMDE>8JQC{>JO;*D(IkYP}HoEd{9z%M|3LXQZe1k|&@RV3|
zz?J_2?f8iHw6-#3PMIt?$FVpm@wJZrV&}e1ylVg-D(3Sme{AZ6<45=RF539J>&*V{
zw9I9;h+?5A$2>kV8`r+vjsD837_#g(g-{*P0Z+qYG`Q!WZ
z`EA?1-3_{~b2yIu*!Q)seJzY=o&nmR#(zGKaIX++9Gb*=Hi*Jc
zDI+7Je{w8x?FXU44<;@*F`NZ%y3-X6HH(+bI?Si0-sO5_|G|7h?Q=^RaB4Zu=d7*S
zb0sL~!i;a@#ImXxb8
z`YtlKzj2!SHAKPRtRrcUYx;w49FgqUmsi`hb_b(PI(g*(1|2yv9ZCEU$9%q);t(!<
z_ig01FZb{GUee&GcM5nuGZrO!_*7`M0@>YkO~inA{Lc%o`e!7x0q<-1pHo=AS>lHh
zLpl5h8ZhL5=@{z4HE0|4kLPKpX(T=IRgbwH(w=)oG~{)~!4rKNVNdT8+^bh##>j3D
zpnp<5oz!H37i{Nn?{S=`M9SmGkE{CrG)UhxhGnTxEa5r1VGS(?-(FfuPV}~~;K_BN
zIkd{BTW;U>3%L-9p}}bRSljYx9i52QHL*XL&Rja!kj8YK;W|kv9xOtG{^;~d`3=0g
zg65?eZd3(kG^y;fFS>`404^A>$iWkGj`G2Ym=MJyRA#ozMz^llxz5^^t9=)cqrG(t
zoQ1C2#~oh)3Ls?|is{Y*$s{#b(yL~Zpgl;`|L{5k!yt@j$ai!aS>OBK9bd{!T)b%7
zb(8()+G2=aeB8Zp4Gm|(-n6s13df0h%c8)T^=i$>S8X~{3Hv=~$f%CFlG>ga5=Ql&
zqpK_C*Ked8zA^0uRie|6k(2uej=GsIqyE7F7@jt*I||aVHdjj7npK5s`yR6LO0VDz
z`!4kR@W{4bfdTp2B3d6b(TX7lNHA@MIl$qsu@YO|ws*(^fk>{-5Mhg3Gd=bM)Qdlj
zk2TS?B(xJ!e(4e)`Q&tHN4vQq8Bwp2dRV@At0b*{j2s?7obyv&^@eMGu)xxyRN*EC
zOs@bZ%H55y!f?T?eH4w&NHEG@dfK27{g)oL=GE6lrVaq2gm8Ps~>sB3kr_C
zZtV_6zb{&fXY}MsMR8N~<4eqKz6rVt>xHFHNLbzo(|FVnf|C)Goljc0W+SAf8ui%{
z*?Pa9y8N-3^ozoQj|$r&G%TcC2v(B_Ol-lI05eSEg+Dp>`6BF1+-71?kdopUnAUcf
zLTiqskB~yO=YG`(Y#l-34|8-m@qO
zyDvP911y;)$jiznbe9Nylz-^T>pn$IG;XUxvK#Ww>>#?3hpixB4eA
zzJ`^%4~Yh#d?QUqd>1EM<^1NP;VO-ejudQz$q{gjj|Jx5yg~)Pl%!xo_i`;c>z$pw
zpHw;cka!*Xn;vCz3VSpIG%nD;CvGe+HF`5PUMaXmC1cw_7TH@87H#h73u#JIv=DZBXULWI4L2t{?(iBz>_dfO`w5VP4o
zWXG9KGV25DD*^&Q5!{YMqXCo7uM~Cyw~mZbyLE!2_&_L+5LkkPT>#XHI~9|=UG}B{
zv*ssL(r?aUmM`dp=_7OLIxE?B3J+ccFNpP5#Xy7TgIB|txLvn#jFtRQWb4NCruO;5
zk49@aIL*0CPwa4HhjmN!!H{O5eUGDjoJ_2HoaaV-02=hU()OAJ=D~B>i?foj`5+Xbp16k<
z-9u=8>-C;3569~*|ILF
zgn<0lLjb^x>{@DS>(43ImdwmAxLO{kR@zC_*Igvn$Os&5)u+)37rcJ
z*@h4InV7^GJ!eCwzmWc`cf{m6$93R}j|Ayx(X2{s6-ygJW
zQD9g8L;HTb{<O
zwA1W8B>HSke-6zt2!SujUkfSQ3=5DBwpYyc^<}1Ke}0Io!8rJDhMxV1I-we=9YQl5
zP$T~ZPw9INXZB+RSYam`|Budp4c~Iq`Rc7|-VHaJJic5Sv~7|)+qb;mZGfF1fKZd7
zT)Rcm5*C?aedZKY!&LW*d;y%SZ8-#U9D9AKm{Zk6#_v$ul!h6M_nl&^dnm
zI(fZh2Z(I%qo5TO6MJOp7P6$`GtDn>+OIEQS!vgvqg-4of}MBLaB^rKx7~6fa*J@u
zr^btq&n-5zRi(Na4W(Z2TCmd`uroLB%Fk|o+P&mm5FYI~`qjf!jPrBG537e~b0RO5
z<=)VWzW7?4N$9}&J5}z>oPEFJPi|=7Y>Uw?x6Jw8Nwi8Qnv$1}!3^{xxiW@Uo|xI!+#O!&%zR}ZNVpY=
zw^p69vB`e+%)B-*bf?v)s=)dxopT>IjjFPAA9W$p(4roX6X#-@h~K#NV#u
z#twKt?7HDj2H{KzKd{ZHwk5g3HTmoO)6xFMoX@?va78&V9_c6L_eHqQ$bO#oy@~Kn4idBU&6sP!^x;wXT>QR_0YZdurEc7!xDk@C+4E-#s4=Aa^r0_n}
z|4yJav74Qv($f9towQvi%(9nfYl0`fZ5Z;=3SVx?^S_VQMs{1N>jOJ`dj~%82p+h)
zI61aX=W{6%2OFL_uX14a?Y&wN+m2NAk&DR2aAuv7m%x~RjL)uSzT#GPgIUKi17!!F
zpNF#`mtVeQRZQCWJEJVy5nt|~OCF-Kve|HHBG+EH|HQ_p!HiuyFYD{Oe=9ib_HC|W
zFo}Qp?cuk%b2rmQ)cH}$PoQ=)EdFvK0n@@920s|OtUuZf1ReF*x
zu>mixcWSfp7}NR#JAbcG{l=`Etc^-s9$|mG+l9Em
z#Me&014b%K8Rdag_|VdmzRwf1^jvYLy?sr!ihi>#TCDmiw?$hn$5Ju_bx=Pl!)8nc
zxcebt>Ko_l4;24JFhB*gspDwIl_r*|a^1l(&xuTJzqh@V8(V2~N~#NOo7|?(O%I;2
zX;+X|sOqfaB)SLs`*nszqtVR
z^k<*FtMecxoIv#HyYTg;wZVo}HGwO`&i7@4Q*3*{q*1`>o`V{U+$qjC`iWa4^*3t4=4f`8%94|pa(u4q
zyKTiK&nvPMAs<}?B@E@{0>AkS=uYk!Spo}i`+;_vUe85sUzjwb78Dka%D65~XXjI>#N}1TWabuO4Yns&F
zHAlx8F2(<<*46yd)ETqw_?ht#4StH48KfQ7^-cvp1bNh1Hr(p$`B@>YfZX>iDi1&h
zck&-k*d6}<3rm$wMsmx3)~b-Fd6)@GkaaSYksl
z(ZON;2ex0AKWC;L-sTO3%Si}5lyuXq=&wVn`+dyw6pzL}EgO1E_VAiim!9fOXsKB#
z@2alwI-)u35S0eA&!*h7r_~AO)<;tX3Qb3mu1~*JbTQkN>}9%CVDr8PIm9FeI@KPY
zWSS=tCetFjmXt6YgSsv*`7ggc0*3qmBORFWG{E3fTbX-yn1D(yY-Te`pcSBTL#;_l
zR9hgo)Vv^IHaRMdOyxEa^v%zxc7}$x;}a4LI^%e(7zm#q-@l_pxp%|eM{WCs?uY+a
z$E{)PwWH$H(jO$Y`b8+eH}$2=Caw51@ar@igC_|3u6fo{GVc|~9
zyB0Uh7@xXZ^+e}j;_WPNB1E*zE<2Y3z8YeeiVPrG)X~+Atlh}FfiA_FHLukk
zvr}&L&24q7_Y=<7-m@Rg>QcEdFjymCFqOQew&uZ+xO))HIf!|}=^xYc4tzpEZzWkE
zn|C6r(0_5xVt&!T!bI29!a_OAy6Tfm?x1%3?E9wPI%Ic=H&Q9pYwQK;=Z?-%Y5I>h
z+f?(gsVdz~Nmp6UnH>iv>187Obrq+6*S9Soo7Ll-714Zfyj>>1EWLIk4K?zc6wB%5
zu>k2G^@raoy6?0*f#(gj2pQmGqsI=OLwkGh=g(WKzl^up0UHJ}tqEhI?r@n1?foTL
zJtMCmJ=rxLuebDgLRb4UhNQMxlz-}tq*xy~CSxQh7_PWGjG@vvM(p|nt?dEoneJ;v
zGz-quHlkyA7OR~dt6kJibY_Z;Mu!ONv3F{Hl^QHF&=M1EdP1ORhlIpoh;O#UJf9Ff
zed^RF>3uA(fQLcG*#B2vgOG)rv@JH5>73
z4aY8?rt&}t(m&g$f5LaKW{m0k8W1ifs|1!LdzZIWKFpz<^)u2b74MLw<2d2g;@Qca
zqE80frTK@E{CYbyW47CNBrl&@T7VZuyG%n_K`kt|<_F
zCtq!8_-R=g4yWmsmp>IAIWe5mm4!1vxWTHcE?T60wrhwL0=
z1g5>8&Haw4$hm>+c%bf-?=f{|In6rpUvw$N9M{15t&=Ax@slwiM#d|6O(H&daxuC}pJi63vjAndx$(o!1jgp%O|zOtrEx
zu>Y#Vqs72zU_CM@%Vpz7fi;r1Ci}K%DVp8A^VZ}0Kz_(O8|CqJi&ZKMmjH<;!WQNQJkLl{(h1VcxU2%0+={k_+3{&=
zKx*}~`94E@x=N=`=
zF|PCM?yPhAcm6{Jv(Y;6m0%Xs^7U)(
zqco=tivmxB=_-YywiopeE)Pky`!54ac1Ndm0CO?=j*htwJ(aKHq^yG=LE#3d6d9d5
zeF_E!qtcK;m(&y&dldU?9y&BQe)1GlWVUSG8d|yo<6>G`S~0tP4-9xUNKRh46hHTJ
zZ-Pcs1qSQ4Ay|_850npa&8oRk2rfW6MCM!`V<`PcV&Y5hnrFv9H`WwTURnF?*b`Tz
zq`Tip@XSXbaH~A>56LpM9lNZ7+ZgjyB$pI9pA|cwekAT>RR$sQ7~aDJNYNHmTrNWt
z(hdOL9K@Croc)-jJi&cw01x|Er*&ZV!G01rFIiNwx3fd+Ku>Ml1JbcdcGYUy5R19A
z;Ym+gdivC7C-)rEyNXm?z`9M|wZA)13@-|J#{FoCQd2ezI7`NoD35rZ+5mA
z)20UcfO9wr@Sxi4@|i*i*9-#o*7f&a%2=}aB*FFMxY6dYg*#DE_i}T$Lptv$MyG$e
z{{-n	ceEx*iDT5ws|i5ld^#*b&HV2GbK9h0`cO(Baz;z=Vo{z*9lo{NV>6ht~GU
z>QXJ1Q;l)I*B(>59`wa
z$l;qb2XoK4H2q_~RXMp%MxXCX=&1kmdFyXa1s1=R??q0sb8Qy503w9ep+Wau0n+sp
z0fMk(0qwp~Ut8%u$*~&LFgtJ{7?H*eV*#2`WM5EX;Z_=sqt`uSq#?={adD|j*O2Ie
zoTmQ5QU^rq{md#9f}pCsTJ4GdldAlCcA|kEK7R*WD;r=&?{f%^DuHj`_W1O52wol2
z)8i@vi{J#v>C2D8))548kPab}Agomp;vm<0AJRpDbkty7dkj~ETCxyqBl6v$$cU)v
zxjN5_DBcEy9Rs%p2pB-p(Xcs-2DB-757%4pS(VZK6lU-9A^a&y4YaEl@3QmwRi3=d
z9;@K|Rh7Lysh=Xh8zbEy?PfS>%E2;zw_W?u08=-j(1DOdIhZ8I-B2CbVI
zlKVR534O)~q&G(2c;>x(`@prkz|Kt&?HvEQoSiKD@w{V19-gRp-s)e`nFp$eW)#xs
z1McStB2@Ixqa`A!m_exhN5STOEa&(h%r4&+*`Vy}*<1~oAmjZ6`j7;{)K4DaWk%g$
z#f|eIgNkZGUx25`g+fSve8j9s{)kA*zmH6i5)Vg}{rk|2nn0~+5M+hZ2J_^olFzP4
zb-xXW6`+f!i
zhZ;$lD323ZIiFpdAEK~A$+{!+>D=zdi{6AJp$Ck=jHBBbB*^@N@i}lJas+5&mP>PxO0K%qNQ2LcGQlA+vVl#p8HFVsPj&
zH#dj*&Yd&hNDu7+>KrLz4vEtJbLPI&9y{c@XGfA{os!UnIXNCe%?}@Eu!V;}ug#ds
z^0-RPLQeJTjmX*kS{Fc(i55wJOz=eLh@J9x6xqDFU6Gea9l(LxJHHH`^6qd3$KEl|
zLhngCEGljC3qSsc<8fDa$BsCYFJ4+7`-BEK9I9<
zDwcP)bW#Xsc_gj)@1Qf%k+u?-)ZLC9XQ%N;Jg(UGb8#N21NXs%bbLR=H#
zE4OP?DG@7hAl25fuDMNg{2*T)P*4#~1l$5IX+q;LI#jb?NZZMT1GIv=9lqnWZ|mw}
zL~aPEeC=&0iK&rfsT$e)_X~*1gO-1H1%6-icMIcJUB-WR9Dd1noml<%XQ|eI*FS#e
z3^3sD9};0G>;C?-GJnONr-a|ht@-;H@XP=CP%hTk7jmF!cM-IDa2R{ZoCFJ3}_C#DbBF{2Q+-Ejl9a(iCpq
zqS_#krJ6x=^~#ork?Crq=f9(slU={Kw`L+wbL25GFt`uIO@fbYy3Gjb5K@{r1G*}&
zpQ)Sp}MxB&mLaj#v=
zK9rAJpx*owI9YCD_;Im|QKf&<6I$Hlm!Wo0LQ9~nz$W}Tv?!;uXq240sQd0l+}>`U
z^>n1{ov-3wB&iimP_nGV1gKV$qSvP|1eKUNNfw#iy9eRg(u(QWN$^iIA3oHAyzfJP
z_+%=FZ`-khOwZfJpTe#Sy)=bJ@%jh$xGO)DNCUyI6{lZ=O*{&yDn
zcyIBCb^ZCO_k_rVkVo|6%Fv{>tFaW$un(@=b>@|#|9=2Msr%mF<-=PJs_q-Ng}kUK
zJQ8xB&)LB`WFMwp);HV#2O4tw)Y$K`R_N^tE8&o&5;_hD!3
zt*HLtd%IDdkw=a^+NiqqEiL!S*B&*2YOc6-=}*qc7@e=SuL*S-65L%s`QGL$VN#%?
zvCe<0Aa*{tY;a5Tty`}aH#kD&_VhHzIoSyDB!c=)eTdJ}xx^gzDftp$CfLSVkZgVk
z7fDP+j85KB6%@>zZuXS0KWodH7<7IsasowKhk%Wm!R!M3Ppkvg)B%_hl`D`XlWMD9
zeaE%7nLJkOocmaOQhA4X=6vDS^Lx3jyGPOu9V@-d*WQGwrP}LB#`D5f*$K10%HyM$
zbDJuayRx1q=q{{?o(5A0reRR~y&-4p4#E!7xBhth+=gw%9rqvtqfumWl}F;CD^+bT
zdA3XLW2vggI+}p|{b1QpZqszd@?z{-sVMB_ZJDFbt%iq(qsnNthv?twgbmvQ8}Qry
z5=7Ru9?8d{>%3*#Hm#`Uwzk1Jolkw^*a?*!5b)~g$bIRm~!1f{81(kaL9_s!&HT5!CbX2dm7^FvwgBQ%c-A*%hS-VQ*$O)5%jHiG&nd9H@0
zQZ?=VeZ={u5v$O3P^lpggD+LoDw3RrY8b<>vCv$(M^m5QC~t!a5~QZq9gBq@20riz
zw>-f)@HBZ
zxQB8jnG=wiuB~k*nQQ|_9t0Cv=g^^RWWEhq+Q0d>x;epGlTXwq>xg}yJG4E##(HWQ
z^6h?xb*1WQ+9Dc=%dR9e)zaE}K(bF6?c!;kvrIRs>vu@kwmdlPiO(K5sA+0yDne5S
z6;o?^BqenR&e!bhcOzDx(hCaocRZVjf(U#eG&is#nKji2d0rUuh-XfB@4+%qz|lDI
zv~zL$h|NVTRa{&;D!}t@j6q`P0X(!x^3qry6IixdGDFn?i18?1-0m>uN@I86s2IpA
zYVARUokK9Ps|u0)xGt!{rs!Dtg^m9gjKM28a9$@&-3d=+E+$|$CUzdmk=cF80sglR
z&{b}SifW-h`htfC*%W3*YRUWJpWDO3GKeU2Ylb#tfSh=kojI}eJ4TnEsroU_fPVB$_WLJdg3;f{?#8S9
zkSUOCq(+_tVIIH)edwqn~!i8m%ysjZkkDuhVt7t}KG^6pumH$P5I-A~$_
z@dqrpXf`5}OJlWL)HKQ0_yg6!-xyZZWn(!UKi)1Dx?+rj`m!kYF^#2U4r@ou5xzW?
zW|>cNs3}R$w%)1gJw{@k$+^pYmv+s$uI%HWwm;G!<{BFs?gBb*TG+$Kb~uWRx(_kU
z;OmPzi|qEy7FhALK`(M@v{PWZ2<^u_@Y7=F&n8+|ka7iqs+9|~kuSY;=a=io^yS;X
zO0`w(VcEL
zRxrP9T<7hLKGZ*cQ;I98(6@2_nD{O?bdT@(sv?wYEE)*GX(NKC&YNCCVJX>26G-*y
z*|=ky!5fP_00Neq?TJHTmy>|vY=26B6i_J49o8F&%Nyh4!;6Z(w)E_D;A5JrisLi8
zPIiyC@UbQAJ?MDou`mB~Wy%B0Jlt95Y4*(~+PZQ$$H3RZF@%^2DWY*(Dq&fF;NsG+
zH>^fGSuPQ)E2-Gj3C}8iH|ja?vr-#4;+D2+?pn0n9Y$AatV%CNO~REa&vemh>N(n7
z+jReYqU3E(>dR=FK-FWZCyD;Ur{jQg0g5*89@vR89i4NqKv$_i?HjrjUKWOy=4R>m{k%8-f;o~~amHe*S4{Km
zui0A(@jyt3PqmUPuI*Z~fs|M1L-*O_6OG0-n`Oo2SRrZoZwBu=yA1wDrVMXXC1iWGsRS_E^-
zX8hnIh7?ynm)Af3%>^(a#D&PkgMVUze^DO{lsvY5*CL$|wP{_@T?~aEj%xH%*3vv&
z+6GkiPXwE#n!zBJDzLMr3Qy`%FQ|9!_5^-26z6}&H$Q?G}&KeZ8W1}OF
zcAg+WcfrZd%y20xEjwfB2oHAeeQ*?9709JNXUVEMZo)$ET%NI%99P~)Ayf;Id&agK
zo#vu$Vg_3x3hSJY8;vw)oH3eu@pai(GsS^jRURyuTE0`I&Povd-_XS9ojT`udlL)(
zgFW@myyY}GBI2l?C+0w1$U^q
zH6~wlqjG<(x=b8h3smxYJfERE(siXmKxl|dQEBUzq(yzMws6re>p3SLoO~d1`Z2*p
zRW_#80T$Lr?rUsF5zGw`s!ku*oh&#TeNzWC75R_EE&2#zLR6mkLC5GUKQu8-vqlx5
zvl9Mgdd227xXUnidQU99{=?ttY9wqmytAHNqDXfC*&KD>(iy4YJV92|97HH5WQnAT
z^DKjm_ko5qRQTjcd^-w&Zd)fOBZMsx+aMJzHtNbpSrSxZ1T!@#r+ny0ic31vb5PRQ
ztoDU_j(%4`)BuH9aQD!J$J{(I!VyO^I_W8m3cT_F%B(N@2}up?`*r>_^=ioTTCcLH
zntb6_J-3xgSMmOwK))^_=1>!pGK*$Zf3#Wgijos=g+<-OO-@#5Yi1e<=pS3R~D?`qVfPtuC<^xHR(rppT4-V%dJ7b3t!+H
z%B(}^xe@Z>qW@G!cAfv%zkmd+U=a39LVLlk75j(>$ZO8DUw3(<86W#ros}AneIJpA
z4uz}FdEP$et3lW~s|+Y;G72)-FV~sm5bSbaks7po{tS%r=70@WpDx0v>NPgi%{r97
zHxfxSZ+tV_vyDiRHKa0jTp1W8=Juhm(S*av&f?8!BJFZqW^9cDB}Y#&`<~H@D(AOT
zBqr9FlV2m3=uQzqU8eNsLV!59Dr}DXoc8BJPVxkqP~ziW(Hz9%pCBd=#Sdr~ct{c&
zcd-4~3_1yKL4saT69s$kh27jKOu)c%akN`a{kprnnQDB`kUIT9{GWG5qFrv0%sP2B
z`&(qG7C>NCqd*)H)f`Yxj*8WacP`1glx=K8tvixVvl=U&yNhWb(RaOUATlXSdhQZ!
zf8d`7tDq#p|KV5H7W{p|Og#<9{$`qkbScyx6Q89I-;~$|8L)ZiF6{-hqFLB<_!t68
zbOy5y?o0}+a3R!0ku-U0_etCwk$wwc2$Tbq=m-v7>usw68Fz-z{T>X7(Jpd!VW+l9?D0gieF9@b#jq+OT4~z;0!%PE)@+�-1
zF`%hxbb3`7!B!)DkPu!}xj*8{Ai~cjSi(#OyYrZD-1YkPv_2EVt8Vvt%>aFU68I5u
zpI(^sQoQ8P8eY?rQE~H~6;BW@S!1>A9>VyzmB`Zt9~E63wFYRSydP%S@|2h$b0Sxt
zO--GFvB>{^^1plpjBsjOHYyHBaUMS_&
zM`v!5E%gI)-Mtr-R|-0
z{m`H7o%&%2{**F4L+$SP;eEoym27-L$_|_pRx7&PJ~G$)Vi|LQ3`X43A^tu?HO7>M
zX-1B1k7<0PYEp67{t5QiCl;|NUDiod(vCHM{5S}Uzb4={B$)%Aj(=be7-Et2-*n0U
znI<;bRN*gHbI%C@FsJEjmDM5DRhpucdE8)FUL8u}MeX_*6=M)Z5lJP_M)y!t>cf6C1VOp$&3N?i@nb!-=}D#z
z^zm-R^Un8npiEfCcCMT&-LP}TzrGh|oR{LEF}-58F6+oaZO!
zdo9lPwtpT6T`6T7>xH@RPXdyqxkLhDoz3+i~(lIl$9A~*4Sh(84A0EoK
z1}NQ0j06@o_7L0y%*OxGT1pbF%SVQdj7+MlxG4RCQi-DZ>gkpGi%cnyCg64T;YG^e
z896Y@bv?<-6Y2;9F%=8CzZuOT?4&&Lx-Unx%gSJKw_7)F&HI-i@b
z-+c}pVUn=rWA4iG!?v1q3LPQ%6=Rewe{Evazx0=v266&58W3sJQrW)J|lV
zs_a-%naCCS>gJM?_tJ|6y}sckghibT8)CbTxw(U5(-h5qP95k?IY|gOL
zlYP8o9=1s@g#u@{t^Wnl6n^r0!UGAn?m}qfX`Uc7mnWeFF$6~;l7Wh?noep-f>EKG
zTyr}nX8QP-XaDAN`g=37Cl%31150&QL{yH^AgO3MM%f
zyYgCxVl5eYG|>_t5n{OxQjM2l(#S{e{Uzd2)q8>+WTRK8&P(w&nSdPO1|5P74p*@n
z;U_p!ys0NIgCBVWrKodW4dc!$ZzV(hD^}0hRiF5akRMpgef##1fuUhmPR+T{OM=jN_^0G-(9}-@38PVr}?aLci{6lc33BFH7vRf
zh9nR&)>I1D;WWK3OsF%P!B=`BMCS=!kxOg1%k}@g3N2<^Kh^m+@hQyeRvid*XIJw(RH6Euy5QWYjIb(o$2wI*oh5$=%7r7U^1pXay13
zAuxE-OLrikVOk;^;y#n($;)QiN|U#eJiD1(1N8K!MNLjzPcU@~^?oK$cZ&CIK93yI
z-iWenllJ!ZmNnmZ32|~#r>dBmOh^eYTUcgFO`~5k2xQhJAo!-S_RP+x?&a3H*RP!y
zzjQp$S}7%o0TvSMc%S@Ge;ecA`R#iB8+^TRIKIE0@bB6p^#^@WLQzT=V*SbYeQ<|5
zq5`u&cc>d8>nO;Q1gNFg*~c7dcof5jx_t}#_w2qMuuu~a`qT-uy)sCzC)X$#zoybUqu@oTtG=C@)wUpj>2uc>Y@Qd+J%?yBxT7@g@@vC3@vV{uF0HZ^jePfor?^
zoV@llA&S-!_0eY6CfX`NF116An7TQsT;qM|86YthXg9iwx-VCR8a3;X33j}a&xPh5
z@mz`uXidw!qQY4?7*&q)9+X
zYWnne8Kunrh)(fJhU}|H+DIm5>|&ehgus
zb&0foVnR>wAQ5jl(>fTuD!qX8Vf9P;^=gQHQ2HZt-h?tu&(zeE@+BMDU!IC|Db|($
zXVz)x=Lha`K8#OqOpXVlY$6lNy)CjqZ-$FIb2le>?nAsP>y5Yf9^SEIM~nzSUgBJd7MGN!aahO+FWsEp^KCIU)l=>m5VdWN%qZIXmtMBkF5;sZZ(|rN22x
zx3WJtViS1Jdt%0fo}Z};4`WaHr-nU5anfIyW3c=3S)o6V@D<{Zqy_@*x}
zlU!7YOe=M%yfd~*e7Rfb^sgo>Kjma_4uV_{5*iUmo;W^E$l?1x
z2(Pzy8OlUZQ4JR7E0&*%sMm^Jhuq8!ke=LOXh;Tdj}Dh$Jag!>J$QJ$cnc2;_!0*J
zXjOS{WeEC{RKE*e6O;EnDFm_Zh1;4wB)@(T8~ju|Iz0sK6p*JPF}Mqo5gD-|C}D@}
z!W)U=1PqEMP2c#H_%NzKoxp{*9t9nmUUSWsOUBmm?z+K0-(?V!-p`I{(K3lVetlo$
zhBlJ>s*PZ>kbRcj4sB^5pPsEtQhJs&9-Ze)(u99bdV;XS@AaLNB#X8}G;-Z#KWE$M`rsN$3n@qO%
z8NWL7@YnBE)RQa{TedVpKSjpsB^^1`p~w%?azChjjhHsuu8F78-y&>HE*33h)TN30
zd1#RT6Y+1coNd|)ZAmT}$w2?n*Y|E{a*M325ytMDVHCX1HS%T1zvw7rcL0*2=rYJa
zvVvsgdSmV!lL@-yvoD2+4Mci@-2REx
zo-{flxtKxghi0^{($BPSqZ|0_DZwG=$KeoQJ@d)h6dbkEME7;sdw7HH3i?s0mpMzV
zBBSqYbqZC7^3gT*2;!iU54DkZBMM|Tom2AfpoWkgbHd-`fp+po?1M=-#+i~_$dgn3
zp&>^!#kXxUKo$t85(9LQ;hJIxmj*vWE7l*zY6VAErZb9heTIy#=w$AbR74kh2M3wr
zUE4ukijYHlZ#GH5V;y%V(GiTr8zt@7A?NxOkR4NScKKdQ`NJoznHBGlW)>_`D6_y)
zZ&dJvV`JM>k31~6)kVo)UyPZoEf^o4CFJ5KgAQzxRU}vlR2gag>Jjl}NWWQ)y#CCe
zTw@Q#8L8zxnE7A=-7__VZ60oJ8KBpZ>`)QghI{JqyB$pPdLT-=5rY{JF3C(wdvzz>
z0y_;|ta=5xu!Gk_-IBux9#N}IoIFoCD-)Ik2uFhIM%3NA=#{@Yx3AB&V!f$nyvVyT
z2gwY^0Upe{rk(GqmF;YXWpHhcEcOU?RlLgjpu5nlvR__WbUEPzpD<+YVWr_;U&L(Y
zqUvp6lS?kzEVpe3!9qvgNm6!Y)3Qo~^GC+kkYg|J&z9eNzA{y4^))}E`Z>?KYZuY#
z8*VE)3{r?3Uf%@m{OuyPaB7BILr!N$*5CHa26h;0WSg%9}H`6k**
zRg`I}e+GV%l5(e}E_hQn38Kc+5a~*pTa_w=^BQB)B{|mPpk#u`m~p7#1WGav*1P
z_Sn~Pf`N+n%^7(mVqehRCvv-%BzH&Bz2Ii4lHB2$F-2IOX5AlEvX@4V%o^jS6{!@U
z5*$|MOi9WqSFaQ(m+X_A8Dm__Bn*s^>m0i!(QQ{TIpWN50*=n{xJ~5Yt5oH3RDTeA>#F
z-nu=U$?VjG%SGgPEMvO{?(+FUk;;xX(wAf`oEdS>;art;*Cr30ks05CSfRYl8T%tADO4kw%+f
zuDpho{SIIm$$_o$;$Kb(ct?6f?d8J-`+U7-3<3BXzY}Bq2bWxyCR>J2w*nzQ=TM%
zCnD;%U~o`Hm4&fNviZ}e3=o7*kbP!U66sH#>?Wyv-d%x=bBa&ktw;LRjqkyrP%BLC
zyGNYPojZmOsYSq|yNtASMoNk*L@4TUuJRa+{WR2#UjJuR3aS+~TA>ytCo=)s=uNRy
zzQxL4ySC~ZLZmma3m+wZ{>tSYRg(9f7j!FaP69X8;cNMxK@T$9M|qE=qV0)80yu>8
z8-j0|NI-YJoFE96eaFV=3Tn8R@nlFe3&eYVv~?voRygCsU;ckHH2$0OS~__{(kN&;
z9E&DaFj74g%~a45nrsXFZ2jlmp{JYz&W1Qhwu9Z{vDJ;>
zf`TI85f|Qv;DF+mWV?g>eGJeF0yO*FWTNn%J)g^+OVvmQ1y9;*FWws(M9dvG=|*@p1)F(pb3|_$5jIgcVyP*hIzuX2zgRI4SyRhF5Rz6B%WdF
z^>5W1x!&_)2wh54Gv5lkeTN=nmP_&@h~fkn+9yQiWKQ-;4-VuNe|jwDcqAYXJ%h*u
zCO4Wdu`8c7+;#xcABX4UzK4oFp7R3LY2RI)j+6<^YcxPj;p9ld&ePYPPZi~{_J;4=
zq!laqqQjB*BoPnR&Ez_oN-sPU<8|-(H34us(+_E0-^&hwR&9%_Xy(S%dWKvl!XE|y
zw^$cZK7t$(Y08)6?7P;n1@|zdko7+spB#s4r-70A{fhag73+Tr*uMuhPaD;^W4_2c
zsKIe{dcaP;Fk&^;;JZ&UX_*XdU5oI4B~f~N_Xfgo
zir?Vav5c}ZQ{(-DJt*x+68Bh^is%42h5la9a4>1)OLMc^o+<%-
z;b9`}E@KKb1Ar9m-=Mc|+*6TP*744lDnzGO>w>I4l;3qQJo#sD)7DEa$`ccoto!9x
zs7eLZLaYaHn7*H%Uvm#A!%=BSM_&z(n*6(hO0L+5Dq)M+aAt0<IU5yvOFGiZ-iqNB(8F(FCZLU}zGlZ%Ym3;CAtnN_OVAH{z;(53KHk(2~YaNn+a
zE5a7!r@9wDi7UV>`BBZ~+U$R*LSqE`Mgj@*r
z1TXWdK$?&>29&opbk!Lcgxd8AlHdN#%1A;0;~b6xw$ncJ2}iTi{Lg}@G|W?3T|OW`
zh0$kkbo%-k$rI+_VIj>!+QNE=MHcK|aNqN$o?oI#VN9>I-uj=%J?x}Xks08f_LHjo
zBHK(0528Ci34;&bXJy#gg1SW&$J^l|14yT=oxPj6RSt{Q3UJK
zHQBQvtwXTM>;eDr!CWqtMYGw15<=#)oManis^mK^5aD+H$hXiEoN9}(7<%HvQ*{vu
z0jBjIvv5)QvH0BeM8kwo=`{t?GHxIG1dJ5~irrayZjaFPE^_J7aOfx*dwimb6;tEL
zh~?>DS{2b1!!U%!xsbOdh8>%zjq;Eo2t@-O3)@ks#kkf
z`sMhk4wWG@rn~|dT@Zp}FFKMUqRyM-xePij$He!oW@(MkcokhS7ZB~fYZEJA-G*tk}hd&DDFs+$QFX&5Q#dD>XlqTpwWYmnsQ~&OWx-7!jA5
z%T&6k(x4$DyUpn1)rx~rOTU6uK*NXgBtDNpiB^XQLEB07vJ8=U
z>w*_|%GH$9BZ^m4$~3$o1>OAlv+a0D5Q14Q#|CPf90y^|rKC!kMnbX{H#LDiwW=B_
z^-`rhEv1yRa^jj=u6>82P*+3qdf8_5Lr+51@8z+Is6wr>wWfzwUeVi1zc<2x&V+$)
z4Sm20vF?{45^~qxy`IsH$a^PNwVPQk^liw!R5r1Lr!!gPSG<1CBzElD&u!4YHy?=F
z{bn>gqG^3uvF6B>w=%z<;?eky-`gFIj{0>@dnI4md7#X6P7uz8y>;ZYH
zMgd#)`gb3p%`GH+A7-M1-Oh3mF)_iU2R%v~Qtux8JhVL6N$sS`IbKBHgHYmxQEemy
z_F*B$0^2pn$ew?iWYC!J4fZ5G@hCQQ#kf-kmuJ!I(GL1rwq=&e(sg?HI7pz{#u5zN
z{Hg!u0*IRb8qZ!Zuz~W9dEGXOoejH=uo5K7EY9FhTHuJB^$utI*vI2e2D9bQk|eGJ
zWt0SXRNM;xD`EHsBio2o@_Eueo5dB@k_xI<{z_ko>-46{>zL);*YsdZSABEN@K*lL
z1yf>}dz?|d`r4d&it#{pqAOh_KTLW{>5@Y1QhQhW|7N}U<}$v`8eCN4$ETQ}MPM;%
zjcH*izd5&0!xu;u8f0~qq{A{~i|%0tPR^y94z5;t8P=17XuY58kbkZBPNL|pqV(#2
z9-7iR8$P!H-J&-n9+nx6^u=^y^Yfey?r9!R9^Tm);wH3p>ybMGFmMU6gQ`-?eVe)@
zPav{VP;4wb_n8a6qm#-gbBZ2)KF1^HEV$|DofX&rp@DS)JoP|sV1zy#_(bQ2l*Fg=
zz1>GT_DDIdUo8fWCjHoE-B9)o@*>tES}^Gtpn;-S#_px4B_(Lf3|wkBs|Fe!K^W!y
z==x0IfU
z6O$pxw7Wc&u$@`BUWrLCd^q;?^<%zf6d0U{^
zNI$Us7dDJq3n!D#-}^!oeO+{WqmXg6WyryNT$z)&m>8iGcP{6sWlBL~y&*hx}hoCp{LpWSAQx&hjrUyYivF+P)$BbnnN2vbR#v!4R
zGhbUucAvZxA3qqGoaq*w3qO=YWl(^E(6&`^yOp)$rHnTV3k%X7jiYn^y!xV!P`BDC
zB&-(>Q!puri)CEEfB}@f&j$-#AB<81rU3KK7$M%%kQk3rpfhk?-0=4O`y{27QTs&QB-=~#3`atS%m)546TLWHQ&9F`5mhk$4
zO{6>di5AOx=T0sH<`?GH$+Z{|AXIU%a=Ya4gLSwtHPnBm&30u7U9|>*a%QgkH*Po;#+K+6b<8i8o2ZiIb-RLx*55cz*fY@qmVk!gNE
zD%xW0cC!ensA?Qu(ghO7&CL{ATcSJgh>Avn9xyUo3Pj}HVDw|Ny<*5jRcEI_U|^t_
zxcFXWA1W88E&3=-Kst5&9m1v!RoK-TkM$mNr62{8T
zUW2#`1!|V9C!Ui&)*e2}Fy972Sg&X~*Q{nx6WC)0!79mHzinSKcgpF=Xr}tM-F139
z@%Uv2kK;YgeV5mTvh=|d*s!D*(97S0CU2{Dg^2r){qb@8hN?BHQ(C>>|$N%
zkEtdl+vfvls0NMl4Mlrzw~<@$e=+vn@m&7@{`h5w5K^*|RS_X%M(<>VjEqvLXc%R$
zkdzA9I}$=AvXX2mt6|4mAzMZvWsAP|t8>opch2oMZs+{@Iq&LvUDtCw9{0z6?C@HY
z{G+Yjxrrn7`>(?pV!2iQ9L#j@FS{St)kuJ^eOf(;|8-&orN97i(l9>3Aftd=;h!gGevgoYR`S
z|NPrcQhiWu?|mc4K|Nts
zF^c6#rEoK5+!Xop_@3AgpO26SMdyIqEk%&+HA0#$y7-5QBgxlMCc_A>SxjYZE;a?a1Dy_XyI(b*_z^;3eot1S*
zz1%ydoW!^{Cv!}t!otHBEzV|;-a}i4ABv~nJ4~F#--d<_rNQtI(QwzAdCiFIlR@KN
z?WZ?3kyQtRi*2#+@qM>_vaQ_Hd#$D
zQ5OxE@J-yYo46ZUF3;BHhK8i>)8(NQ4FMG=eLv>}G34KUf#;Cr9zBcB5qP!6b3)X=
zW)T$BF##$7(iy1X7Qd{6Ct;2e$sir+aN*9L&B|mFoHw
zN@bWhablfnoypJ<{EW|+RYRRwrkkw14d#kV!`uHHAGVvWTD2$ZDzfcm5fqeN!q~CS
z(>U82E0_P>k%UQeon5@hL)x0Lw)=MpJsaz3%|wD}c9{H(k;&Cc)k1XGt<;$-a44fi
zwt~We^(8AZ*A7FLfToLwV6EBq^2$kSTIXZjS(9jOmoQ=_h=LnidfS!%`5G8gx2q{T
z^GBlgENjn{I~mZd`seq)=Y@r+=HT1zm5O<=q-5mbd7-J*A%~F}Cf3q&ulX!ay5#~&
zW0qWt%DYJXB?IbF!oX+3UsQi2bHek$Qx&AF!xpB*XIUCeuc3uSn4cd(7UqVAhTrEk
znd+%Cy-$gCIK~siy!&wM*ma;gY_;
zJc|sOTWL_
zOus`lLTo#Y@Rl2n+jCgSuCK*hX!C_zI#^7%abFFR!m0&XGRbpgVd~@+MErqL9}4@F
zv-p{P8)IeO*yi}8(`M$I-L}A@w**z91fhwnY-~5lEDiWj#4GJ-zk%_j6!SS20}~(x
z|G+&QZZS78uSCKv9hrwgnxLcEL<9&00b0l@;bnRP0-2JTs?~hYS<5p4N2RSS53PZS
ze1qGef)%t5u>)&!AI+nYk@S{K{5uHxMLsnA+Yf8oUW}is6co5ZBF@JZRszPgWQMYNNhZ+>4T?<9yA_LAkm?qiP$M^isi<^(0+J-F$}=Xqjmh%$wR
zABLxKGq-*86F&_Iu+A%Z&Fv!fYQ-s5*4CL?HxblMCVp<%xRK1RC;(r^>Bh<9#{;2p
z9lpKQ0veZJ7lKkcZtOo2Gx{)q&$+znR}2C?ynow8DU#tY=sbsJE3agodGyTVak~*J
z@)yY&<+fn^<-Gre-ewcG(HsOcs_RRFx?Q5qY;0`#kb`a9et<{y_YW#;nSzT=ToNbJ
z&11Evjj8kLGDS&OY9%;&WTZ$q}5e}vYk!ws`
z8nRlP{*rdM+2PgN9n|&bFmS#neSra%;AEvw-jOcBQ2HE8LR<}tqN<7{DX}b_hE(oXw%&O*Y+5(QGVA}7X|^GBUY>i-9KrF`@Of6
zoybR6^4w&nPLkcG$mcNRGPCzq_GDmBT^Th8k$nH{fT8;QO$mZVBGDOFj%x+3tcRc9
zeS3A{NlLA}jLeJozuF(|A`LU^Xzm8LS=W+I#IsAF^Mr3r6B3VHzj2->Q;|#$-L+>=
zEqd=Zynxwd@IW?#x1f$!Jlk@8o!u<=RHW3A_PbD56q5wI&gZ-pt#0BHY)cl{$Hmpy1}<7R20y74KsYdUz*LLM(9&
z*l#URXWEfNFkPZFc6;g2FHwITu1HzRs$>t^03-Bcv0c3|X0-HykqwK6=8>JJH6|J;
z4NR8Njnyq-(Pu8m!Ubm|F?P`dM@Q~b#p|=xh})9HeMvM^cOkoTw9Z<)sf60%1R2VM
zV$N)J7O{Q&2&C~VjO{~>O=dk}(+;5}K!-!doM0u=5eT=bMuGgLSy<}~5Tc)DwI&M&42!_qJJzI2Q^L9K)9U304$2*$K$YN910eX*n-_4i(jS`y)o??FT||dYY9V
z+-K7RXRmy4yohGG;~w=IA9y02x8<1Ld!IDcgG)7DA+bJEm|_LLeh4;=6a%N?q!9$G
zuC5+9mg2i&6G@Ox0=x9%orMi322e~bI@e~nx3ize&72sCMh`l{vmn$SFSh3;!;fJ2
zK(;e<)ia`i1?%tX5P>_tW7*5*WF>qUaE2dhU%NCN6nrouWhIO2nlQhr
ze#q%7A{`oWx(4BVDy`XOdx>V@AEZSfE~L6&$Y)?LFVjy}{w#i#Mt)V{D3ZpNdE^kpQwPjoBMBm=r^$$c^hfD=S$<;x+14Ey9sZ%
z52s$OPAf@ORbARuib$Zum57DM4vl*42%`M_imp_3+G$(h5Tz|j}4-pslliD
z0UO^`9Ct(ZGg!E{0g1k!y%KS^Bu;};ji22r5e9U(zf~Z&
zoE;Z9a3tTH=2YpP`nI;o%N+bYu@=V0o5`h*A~Fzxh2Of$zdQ;J4-a^E{vQ;Hq~V0<
zne;QSeC>rlsLMuL^d3J>k;S+r_^@#ld#6U(wln+o>HBs9IAli3qcj{K83_`4hr!0s
zLL$`X+sRc8owgs4>2w%$fJ!Ea+%;4Wwcp@P7mo4Nii~emyz8$fwU_SN%ObKkmHD!u04U@Wd~hd~5oP8mZhy!r0VqJx`?F44Y*Ct^lE4l8%}vs0yH
z7o(n&cc#*-sHY%fJ1$@{)rKHM{3%%Ki=z|-M)&D-A3oiGPiPNujWNj8rBo
zqfSM5#1asSopNT%(D0x9xevf1N}$Lqns!kEG8A0K;lj}wds40~Y$NfD;07{}4BU#|
zs1$m7dcYd#J$JMuNGJ&E^E*BE*Kk%KpDKH!TZa2;4M-w(jiUN8P{-b33o1{VIVK+KI%KdcM@G
z3zD4B8*Ehm)wqugAZSie4Idx3?uDg{J$L$ltE(~Xbex|w!4#MRe9m2@3j#ul-Y%Vv
z;6c&gUvfm<4c7vh3Io%;zfljk9%@~1r;$F_Kfq}(6Az6A@SmLbk1&T7-U0#+Z^4#@
z5tHBBXe!a1%%X%Iz|E!MVp$
z56wDBYi2OVC0&*>wQITjnLSkka3ZJl`3*WP@5D0h^E+L=?@SU5rZ;H?^s=QsBTOoR
zWg|Q3#lKzfE1@KV1mHMuNS-ImHv5g1Dw=8c?#?DPKgRdc4w0wuQ!3NI~JmX05dyifmVIE)}O8Wu|NV
z+)Qna=n=$9oM+B-x<@Z?+OdDY@7033v356=Oq7b6TfkQ3k#6c5!qm_9pqd&XARut>
zw@^6#Jrzny$_S()_PdOl4m5XAHT$=%8Jj=y>@v7er8yd1gN-oBynp8d6vhriE
z=*_2%3CDthgO5!u?{jd8mMFR6cy=gHh1CR&&S$C^t?NMicKG^AX3gCKLh)hH@hvZ<
ztRG4*(B%Ez){BkC2P{2=fiD-H3PsTVCtP
zktn6jQ74?7q^g#`a?dUex=-qjEGNoPfKPQ2Jvx`kPPOgu?4E7Nd|Ab(Zm*)2Ky)fM
zGj(jj89*`6%P$^Czv=XF??YAOMp@d}$%|FH1BvYm%jQL#qdIytESy_28w=+ErS6%<)-xgsM6Bjpx8f{DX
zb{%U$E1605h}s@!&&tG;vMQODbrs+J=7jkTWe`)MT>}}-NCFUiosyMFQ=8NnP~(`
zC%fXSv$u{h+wPfQTYB6}UD}?$HTUJO#={4{#S}@#oy5?p0B=nhuI_xxW#+Yu2bLM4
zMeD_06tvQ@c7$N#xNIR}bAh82&8
zF^yK9VE%DX1Zc3Kunnb5)XrDxWhiwf`f9uxoum_GGdtXs7)4_Pv
z5B}0`Ua@}o74+8S9$^xI#*%TVvZ
zP~itu0vzphC3~`H7!=+AIo@rEn%ff1Ny*g9o)KmpjQDn*!5woFS6%^F8D#T+#&=nm
zoN`4)4aq%;Sb<-T6`WCrq`a@o9c?XjAqaG-Ftz%?qxbP`R8?@q$^YU45Nl+78(Iv4
zgm^;o^Yb;XJwRCy^}!Job_ua(G|h^@cCCJM~eizt4v&%#vc4
zm`Q>J$LrTbQu*t0iGjDg{i`El%GcW;Lpdcy#>R~@-cp`knQYNyA3|SUc~iQ*PF_mN
zuwF~~P#gnvp<>=byeR%qMaKwkY^R@K^Tc_?p{L_QLK*)-oA9|Nwt+-j{-3M~xyFly
z4dI>Ki|g0lYx^41SldkV_d5%35f@2MGYvvu%}8G_mAJco0ML1Su@ec#OjV2T%y^gs
zdUr%@)#|zEgFpdkjen9~+I$p2Mhg|87;rnytk4nt?vsI#_vcX`|}lNN7c0)c_#T*2$L;QTu_csp12HEh8GgU$?llXJg4kLk1HH-N;E
zDd+0=GLFcJY)nz@A8we86r(_5Gk>eT!aEjQPVpw*5hc0%Ot`8Ezpo6v)Z)b_J*4`I
z?BYWrcWou#>NBEKWWr4#y0;tKcowZ#_7K_Q9nISh}og2*lpD?8Co;A>0S6m3JPT@BdNbn2*1%ZqXS2FaPw<(6uqK&S*>>O$Pq^{
z9&kjyu`GDY8<&_zAFjiV1Iv)d=3vznpyLLY0mNKbGBWJ`!>LD%3mBX^p3Iegt@|%2`OR4)X1SPK#
zx(?UpLTaE6U;x!IlDE(E$G~H{Ly0?8b}$2*N^`Pz6d6TyGZVq7>gy9b=7001q-E^}
zP_oaWt}TI)k+SnMJ{aYtBf5{+uV$pw%-g})UX>WhkVM6!A;=J=nD)6P0JmNkdL9xd
zn$F*Rcw**SK+O%Pm4jZ%x|y&(Uki06FO2zR1vKd7p2D!s6G5PLV~?zi_G00gt}Pps
z|GUT8I>WD5?1z{rB>^)bi+OH-3Tg2hJAaZ#XZ71NSB=2QR-RSj-fDKOa2mY`LBKz3
zxWH;27|EHC8qD&yYpF}49Em*+%fQ<~u^*bywd}DH>fpq$IRp>~$s5PU?9lFf2Kd9f
zXA7gQ$g!O57~KShh1F+hN2|Yqig&#PMcRe1WaV>UGm(jZM5t2O8iRR;xXXSW
z1y-7fr{h7u<}Zvop1uPlKtW(&AS+=O92!bPBq_SR$I^(jTUM%OiU^#0TS;l0K;N3?
zjwiw{#kb=E|8E1y4~6CR7x(PEck|+x@i-f4{jJYgNhhc?a_jTy%-5_(bf1^ungy_B
z1$aX8xq$|IMrX?PkZ`Lv+4MJCOc(xi9HER6-kWh1sZk+K8e6KPpO;2C=c-?Dqoksu
zkiTAhMee?qyWHrfN##Gkf5|5Q&`*+Q{eqd$sFLA
z-yX9PFY!xN?8Lqoc3sS*OQcBLeAGwu2Y0bLh~`+{8mr@LpEtjrxKvw$hWIDV(80U<
zeu@}Iz8)*Puide!ojSAbErUT$>trukNfAX06Hy}KQ|{%Sy)jnVg(&N}ymyCk$udwd
zNg%wtGG7EcNF)nn;+~(qz`0Rnykpb8}yF8fHEy?hc+mpV52n
zY1H2SRdCa*fh5hskFnEkIBVr)K1xS2|FRcG5(;sX;T)-xKYrA(eBh;gXH6nOK4+`qJ}@MN^x9WdkPIEgMBTo)sKR52cZigZ~}03~sOVXJ22DsyvR
z(uY=bPA$~dRBvbdAY-kAn-Iy-n*%M+qG8w5wI=XKZG9x9rH!5mwcVez-@v_*)@k~%
z`cEX&C}Y@2Pi&A&kW`e=Kxrf{`AZVzLL%@leHFBNlz-8yH1F5BDN=QN0&hE|U=KyH@uG0qoM#(GTJ
z^XLXdJT{n&Uzkq4FQp4q$O$&`{L(_eG?KA27En
z8paEfI{!Apyo&wW?5|&kz@+Lu7g38*(GL3sGDFBh=?+)@)|qHwow&eKJKa+oZzk-t
zi5e)xY6QWC@6Wb>U%YSa*&It?U@i+Z^4mfwUU3>2dzi||yN+)nSux-U9?voD#RQrd
z_!Z3Yp9kH#liU0@Z5^E&G^V}2Z^7-*($hPPG+fL9PY*|RKIYLmntS0jfwCsn{41@#
zqsap9(k{=)p)$h0zpAn!Ea&JI9bS}Fy;<3vT4nS`nb$uajRIX{)qi(H@>gbCc{3b>
z)@s)5J!d_mWh;KBrRQ2ijR$tmIQ$zja6g{A8O6S`pdD
z?Xpoe{1cx2~7q+r`j0a(c0PORV>n!_N_t;vV`2OJ4;KRs81^n
zHi%+_00yypMugtIn>F9x_I%RbxqHgJ_#ehfODX2gN12&#v(H?wyUSr|&($r>AilZx
zUk&jLdQyb$_50HJ*qB)!-{<7V_r$6Ibq1;Or)z}1fu1FMYTqUVH$ykH9oO{I&kuXg
z6@Dfmz5yg`&T1zC#XAm%OEB;5Vx-%dK>Tkj2_xZ&pdeND)U5Ql($~j;2xx?I-A0#u
z4u!QzTq|f713eC}Xo!uRlGWtp0>tQhgDq!HTTkynrs(+iouXwiy?_oyDgA4YD>@j?
zk9f`O#leJf*FEIUtw0qv4$um8=6d2^j~4*9^k@w96yu9cW{9Q
z_YZ=@0E!qDD1hT%%J*AZX2~tu<9rm<6S|d8Y3wp5?_sc}jsA3Z$)BCXCt(h@T=gxT
zy19$%V2e=@FhrF3yJ@A6?o2fQ!_YN`f=w{2vg)>;+houB;~fn~YfkhPa@yIGO0MJl
zC<~559lK@foIL|eUFf+TZafFw=#Q$3)ngNkkZWMBHA#D3e{To3(P?HE^g+0B@9Krt+p!#Y#=Sd)A;
zLLhP5b%x&}^&WNR+^yULp{0+aPw15^c^ToEfz$?*)Czz@^NRH*r#EqMm<%tDbQjE`
znCDY^S@!AC))gaK|A);MYPMai!auy0RG;b`inqTS-9C1wyTg@LXw64&X9spb9b95>
zlGSZ@5hHmUWB8A#*{~gl?sTkNZ;P>-S2x$b(6;Pt5!|8d5wTdhQ!TdA=i`p$FC!Q2
z+@il#zH%IV!A_g;Z`IH@WNInQbBSPgU(Rmr#+nhWP*<8A$t*d=6!7V^(ZmRG!Gt@5N
zoLSm)MF4(8(oVbf)A#Q?f1fAe{S$>3O;%5xKQ9C!OSxhd`_zwYO^cZok!7!pjPl+i
zDcrV}1;=}*wd6GL-yqcK7OaDo=Z;r83ae4+iEwhn%4IF0J0LC#yl~On2Bs&~Lvs
z$I8aeKFWNX%bFZ&D3_V&OfL@7Gt=Gt_>n?>bx1@==q*pgrQISFq`P-;bS$ZsZ+_79
zYH5hE*s2op>HoSg)YE5I9KS?ndP~V!|m4l>Q#Mcyz9hcCq23mg#u-*ehLexrhk25KT!?q)tjh-g7tiJixGpT44IOBgO?5%
z2kQ&PuXY?bQ1$xS!QZ)8vIZwdPw-9{iA=C1J?8PQM6CE6rXby8sCI2nE2h%4&$Jka
z>qVf^(|1lydax;0aeqXa0#Dd`YHRkHE!!1cHvpiYRWp`dMVn5R;pr$8EY>_;+;XAo
z)G(*udisMe^^RBaOk{Lo|LW!I>8C2>43a@5Gh0r2cb-i(8#?-BMWLS$F=HmlM?~wB
ztJLP^F<+WB#Bc6Hn-7L!y;j8`Df(9Q-hT-jH)-HQ4W3~wiSnziP3WT&yaf~$=jtqq
zF)IKTLnR0X>CRTYhl^l&KpB>sBt*Dn_(DHNAo+%ndifQlOr
z|H?i6@x_ru^;~@#G8a83=#mPm8cQ?7(%o+M{BF^G=yea+T@ItdHF1XG1aPVm*fXV8I57WRZ#2-!jAkdmoqfcG~
zy$5BT#BVI_=VG1A%ltSfx-lwtkFMXpEI<)#07C_IFSPJamAFo@0r#XP0yq57{Ikp6
zcVu@vgMo-zW#f72L5vU@Nah`CmU9?Zc2-S8z*2|lkX?@L+>0{zFVCiz!CIxJrmnUv
z8p7>p4e48K*Y_{wTZz_Uhcn^4I@5r!Yd_WAx*@vzD!u_a*EJQHy`KQiy9AGo4JREa
z78q3hqfr}KL->IUCa`ZGJ8AoC9sf_~aPPs+f}W|gOAfz?>vaxN=VKbp{_FXVbo0k(
z&5)GSzUbnH7k=CGW>wytEf)N7ik9G)kui?mzj^c3Q5omYJECw|&
zf9QTv?z;C>Nq+qpSO}81PpRqX%xvVC<>Ohy(R~4}egiF9_ILg>U^j!cv&HY1_d-X(
zNV8kRzl7tHOR>k=d(|dIrkHpJ9x@m>6s)cechrOn+UrTD6+6%j^v;78$DUX5li~Wz
zw;L{W+PLzAxVs|n_EYdlni@BoVRl%r)e!*HcQX!=QE+|`iHs*SUR|z_@D(=_!ISFU
zmkVkTv@F%md_sNE;?}JB>~Z*MiJ0BrEln{Ap3+UgYjq1l&TId4ECi!S3%p@dLu^PeB1O>`~YXpjc++!
zSl%aUrZtsy`qiM(VO_wKHG**`D2U<=nlk~Yc*D>j-TLWrBcc^hkxl?P$z491uJ&5x_vyI+B
ze8c}BqE{SwWQ`FP>BbI(Jr<~a+Ba?eu+A5kzqZfN)o^j#zO{FqDZTS9JgCT4-xFM>
zwjw*T(wcNTbP;4)`0pjB?>)sV7%Qq{K;ktweuIo6us8!%DhuqYKY{cOJ{QS7K;e3>
zHT9s|^jEaq^VLPac?kiN2!j|?zm-)n)pI%-vbuL!cQ=5@U+ZbD%UD-jU>MCGIzzBX
zQcSY{|KIjrQtdHT@7_TxaDHS?OZ{kj)5eY%g2u0+dH>+2m@%iCcHs?gTMivONP)zl
zJ7`9?kW5;$#kfPyPh*!4
zz+6c!(SI?Udbb*L=?zx{;-t7&5N0Rde$n;Bk!(PD1KuV8{?ADc7Ri=3F
z%Zn+9UW8Vu{Qii&+F)>rGw)?#tZ~p+4PMHNd$|0Nitq!Vp
z$JLoQ$}bQeZPA#y%u?~CfBTc2y0y2JrZ=bbyt=Lmu}XJp2KR3N|94@Vy-sza*RwwG
zyMvwf$qK0n-wWI!AW->NW59CPUcySKo85IiiF2oj$a~HpkL3!=m^H<>T_l#3#QiqD
z*Y`=s`nL;`14FHYyRLj@n~J-}Y;{!ucU&-FQD%pVSz1(-dpvGgJbF}0ZXr_omUP8E
zixj^7k6z$eA9`$7(N8peJ5DTE?3kd-@-X+BiGDu2sI5X$dkWq^DYNKJR=ndggRw8E
zHYE7vT5sMO;71{}1-H#D^0`j!6z`?6_$N*cRL}A(KhARuV2U3q`#A#
zL(>`&E%$fzn)m^CfB%UW6cMjn)c%YeLl(V3TR7+SF3Nr7{8f^_2f$4}9Ms3Zj@#Q6&s$g9_6-ub$U
zqwv>LLGLH2X%)HGp)&x-EAl&bZP!WU>XEcxWV$Q5R^wHCTRIw}m)Og6>>y>w#h1om
zSL9?Iaw{%e&vg+O5Vr(h-4|Txl&`FSg$^<+-IPeCBXCdImFZXfwBNyg_1?FP+u~4y
z9{vzi{WIT@$9qL##BDbKtUM83SY_spF(
zTbjSP^~Wyl_phe(I@Dt^p{j}u$~>2G{nHdzMScMt^+1OpuED1Lfqm0xIuDSpOd?bH;`;+?cCe)mijM!G
zmv^u&A@e(a{^=idHu4S*HmjTcEkQAvr5MolJaRpp?4LBk
zc!B_={rjJCz1^hVK#Mxy=?G<(vJADmsw$_LXhdY>;LD(BqkFm{b)Y2v=-YV#QyFOl
z&7{3=(eO&2A=}x$?}h)ZokasV{Xp&MJKyEety0tPCiTM^D;zCC97+ahfzBVO6ILsH
z{`?0xUBkdla^~G20B8V!(^lqYxBak&Z5@Nbm4RNhWFeIuxvf8q&iYd%_y?pa@8X;?
z^`(*jPO75OeBCDF5YpI;^;|U3*b)3nO6B!@4}e7yNjfpgZqJedsoizTH23|(q!CjT
zs4-B-`1XT~z2lZG^^DbJnG==z?;#FR<1ITHEOj>xx5Cm0{&cM4u$~^HK
z`#Cq7tZUeYTC$~rApzF)_Gev*dF~VKG~Nr}52DT{&qt6{Q-SAVf_$jh{tF?`y@iES
zl0cp5eCH^`PPSC(hJ&Fsr8g=LnlEPtQ12o}+-HJ5UiaaYl>am5@cB6n8r;Z6!>i$3
zW6WU8K%PiJfE{yUbQ$u=$kuI=XZ?T-vQMW<>#KAD3d
zrecj|5>y1J`gUJ*k1=kJCf2ZsBID!fs;{OwgC*JP{6XB_L=l5c_{7ztBEN;LLlF3T
z^D*H(VJR{iot)2kkJ1FK$q17@N2>eUsZZpX^-_KRUcQ|uL(#-ZYmBJaK2X9$iV8mx
zOwF?}F%t-ij*j-nk|W6Bl_$6|=vW{4PIG;@I$DXcne)
zWA4sRIh>n$A>HLva(}ku2~SZ%p53gy#i8eA&iewO|MwJJ9xw5cMGZ;FLK+SysoPju
zKC2w`UtEAC&kESxbgq}{DVXlf&>8SIc}~wp#MIWO{qDZK0y5O*Qr0M=9~C#0Lot#e
zODYJ49@d*mW*lgD=?Htc1FKdqt})oM7dr+@QKq}ve(PXHSi*F2f7kK~8iv4GPy#F1
z*ljQ|?+n70@pq;7DXm{UYdSU*aqjI@AG@E+#25gi!$qm4Z&f^S8O`pf^vs?3W%OTl
zEY{x+5W_W~^3~S%{F-nnA3?Fl_r!7i`SO@2n+_8d%V${^TxkV=mb;?0sr1CUm!``&
z<@{{{9dqt|483L}N^E036DAW4TbMl4t
zU{Q(Im)`j5Xf7vveus#K;(|$Q`iirX1K%qb1#zD?Dtvwm6b!fH?B5YpLc?1HkK=o`
zJUdBc$Lra@K<mloDWeyAXm8U(sYVn*dN!bS0t5`1by4u+N3qVZc9?iRK!IcaaZmjrC(Yt
zbH0YmAvFsL@}vWYXb5bX%vH4qgWf4xtG;XVW_d3}B1~^Z|Nib?ZhdK!4YOM2`*r*5
z8>8kd2G}U*YTxpNF7CcaU-9C|Ig~PPRlb;KcJk>6)#*iagp;4R&3bd}!3%P0;x{~Y
z+s6Chbfg(L#c<}!^q_5Bsejfnk_U4`qb`ZID;Q(K=A5f
z$=VMBz$Sno!P-)8#Jnjh+f5Rs@LDy+T+9dTQIbJA%B-`+XNG;E3tPD2IdyW3uvoUU
zf3oS{MYbBn`R&}Y68|AenF9wbVx+n*fLjkbuy$z6-sAZM(w7OxYk8V!S(wnH+KtF7
zmHS7uu;-kI{Mintgr(Tz%GU3#F#CdCx^XNqirEK=sD5VijBixkc(`Nw0RV&nQmKG~
z!R<3+435dQBU)M!O4L7Zzy(Swtl*yARbkmXG89?y3hm=imZ!m6I)utNi6}}Cm-p!66xy@OLy*2FLx>RO1!44jSfj_^
zrT3ET6zm`W`sL~%dB#ratla&!imNUO>9b7pc!jc?%>q~>)&B~fdoJTx-kAH~5d|)>
zf9kaYD>S?JNvqwy&#!%YqK%P;H;N!teaBx|v&O$+XEjN$sNlgN>gF5q9DUNmb*z%8
zr!S~|>&z$!gdE;Hxbwq>&TC&ajp-~lY%X@Sn}zD-#h$*E;o9CCV42}{-s0oqoBnrutd`Cxoq;u(7ad~dEjc7>jDSV_O?V)ei_c^G
zBlY73N?BeUP;i5o{=!Xi#Y3X*Tb#Kz&#^x9XPrePdf(H9G1WiY`h9*ekrdbymX9Z)
z2Q9D_Y^|lve3G#D%$8vo%aA`3;`~6Zc+6tIRnTRQ8f^*b5*-F?_IKT1?&|yIt1%^{
zc207jaf!~5kBfmI1-UnUT5O
zQrJJ~A(5M|#(%r{KBM55|J{g9Ny(C|B@5S($jF6xRfK}5fI$Ds_rjK1@|oOqd@T0D
zpy3bbq6QGnVlYsCrR31hXc0A8w~t0UD1~$e;QP@o(0pHAh?R$DPrcU}%I#iz^g{6b
zqR?*lT_{#sU9+{Juh2PX$tJ;Een{CDS~N$9G`9)j(A{F3*?%atB~Z{SxOrp)=f*OM?#CTDTjfmS=i(b278a+#)&JL5z*W19y2_w|BbD|f%^P1O
zS_0&mOK`Dh0s@xV7W_20#$NMafDqB#BnY=Caab$8VG(ROX=w!?1nWMv#Mld
zduO2bt@~6|C_k`X_ywK}iV`q7_Ee4ZNVtG7iD{z*SwT+Hv?toKGt#`|N27_>hx1@tdG~VS0PCC}z
z;V
z$wGR5&h*NWcko@+Wl1v2*|Ypasv3Uo{WWK;5W0<=m|v?`J@zl8^ryHqQ@Q<7Tk~WX
z=oWj9=liXx1!)zoEY9q$Z$JGd9Xb^d({)iMfa*3a$B=_vuh_iZER{m>>
zYsRe#2_A&>GXYa9-*>VdN*|w_R)Pr+FjwBCnd^Uo(f_~aEu_;u`0N(4@EKv55S?KPh^-BH`7|I!dZ+M|4(7zZkNy
z2Zu;4^81d)6MhhWleFu=;NWNlX#uwZHcvMv@%vTDn9CtG;YI_W_eQW^Z+6-q#(=@j
zr*bdO+)tN_%oP4LtxWk(sQSu6d}1O=gd@R05Eo^AQ}h)6?fK`Qe`-rID=5#cPrh0(
zxas#>St<<9M^bG4!w#EllH06reX$Qf|D(=_x|JcjQ`Cb~@2fc_i~Rn7+K*An{O&TA
z!u~Gq$;}LXR2;p_XsZodO>SXNnnLm1;ZFrJGOMGTAdVhF=J@d>Crc%YI54-+Dz`_y{?A@1H~!Z
z)79v7TT=%uU71~6)!D4ltil>OYtpYu2mSLlGvRP+(xc>%=-7AnwC`#Eq~^OSbSqV3
zr=hw?Xkc3in<1+q#j5X2?sV2<_gMJj{pI7UZe~*mW{!%Dt!l;ck=JJWTIGadZWz2(W(X&>1=>$ik1Z*^TTo_lL2zKFPD6b)H|K2`^nr8c3J@Q|ugG@ieA6f|*Y_6N4r_uw7qxo2$JU
z64)W~*WsNEO+}etEXmmc`qVQR9NE6UNwc=D^eitgzN0YlQfhKD4x6Y9$O6NA3Zm<{
zS`8@_5BwHy`g#wsE~$O{UH4!AOwp=pM`P_$tD-ZoPj#i02liB5^$A4ux9^7y@9(rs
zw>Euwz+&x0?DTT15FoWH#y72wBfLD*YqLoC4fnAHuSyus+#mT|{SGz{7sKpqZILOL
zzSY9>ASh*Jf7VwyHc$^u_d8!yaB(pBoYKdnS~HkmR$ksTQ*WiPa7zEc@`&Guk+H^v
zbd+Y-s>e7R5rTCoEL*W$W1cf`%;5mHUtC;V{k5%$x_9(GZ=~48leZYEh|IJBo`3Zs
z%zN9ZIwWI!pFjC?iGNd|QYlg+zbo7*U%lDoGwIAxIhRHm%JerZ0cSXzK;KN;?08M)
zgcQZxuciH@$&VK_txU<86B4o!!RH4tNQH6jPfuk83ATbJk+%K!03B&!IrmmDeC~6o
zit|OQROIeZZ13SRueX%?HCDjmoeLideXwH37hgKc_wFp=mH5{F+m^D`iPc)AhYHpf
zPt(`Sw`FJQ^_TZ9($jX$k}3Aqr0Zq{&~caVai<5?a>Re$Rut04*vk2WEKBc)?~Kzw
zT__R3*C1wU^Yzbif0S322W)a<;0L=;#wq#+WviBurD~pIr}pCSLo=ccSgp>=U?VNy-5GNB;V9;%jV5k
zeBQ7FpKZ)O^_`Lhua+;hNn+V3-t^d&Fd!T@!@7R&8nPk^xkTfvR~%BJ@^bX@Di;zl
zhRwkk@w1A!kbHTZxQOVwvSb_912QWf0xl+_hMXv@XKw#S;xa`z%k6)nyeReUXvU6*
zsdT{*!0n^n{(0|{2#ZHH5uLL8E?}JaFOA$XkA1oGaC3K2NKn6XTm8&p_{7Y`JqXdb
ze8LyL=MCR-2w9;%8H!pbE0)$5-R3UJU`BFZqSQU$VzS}kZOa2GlcI51p8Yez+F&wO
zR4vu*?N%1!pKaZ~)xCV+CL^MR&cT7acCD&-<>kwl?$vw`Iy+UiR)MLiV&9MqK8-#s
zJgNGSB(Q&c);|G>y!gM($6BP9Y$oQu@G`!-K<^{T$&=qOt6uo+TCAIcV@2OyrKru1
z88-VJ?v?lu4sEH3u9m9{qi0rfjzhH>TFJKKSnbLV5O~P6DMJkny-T+
za+^AUi2c)YFe-*#L@Np-#Lr`&40dJU9y=1{3R_L`oOoBJv-XY|`Pe^PHJh#xwAr8B
zq$v&LEl$x`@8{S~49!dUJJ4%xb~(r&)$QrNyqRKGZ+)4+Z1z7wSCwrmQyYKJLa<-p
zB&{}-M!A`tOfw>BIBp=;l`sV%LEGfSiKnDhOccbPX})IDr#!y6VaH*Fk^;MmTu1oU
zk#4!LbU%Sx7CUn7KNhX!n!|dg;Q1cqr0V|ei(y~5{MxBDhc&Qy68`U+noN*cX&KdB
zULHH;vY=@-(8#ugGO1(>;m4g+E-Lh;zEtRL*u=-!KSx@YFme4(%R)rImE1VhS9uZz
z5#Nsk(EfK~X1-D>j%X3kmfCRV7ajrbEXstQ9pEyzc!$Tx(@INS*1S=qVm;Qi96T*8v{7_tVcu-zWCr?U`{=ee#Q~tvr|Dd*Y
z=~W0h-3;nTY-FTVVk+)b+Q3AljI&o%HE2$ihJ7fnlC=pQ+SV?JUGqJV9D^q
zi-+U-x6ee!#I{zo4QdZ@TrF-EiJAX!v`ez;yQ_yswm0X&ryrMjPSMaEhe`kaH_d$;
zcIQlAcH4>-Wt}lboqP7_^x$v0@$F(F#47Ip^e3ld&yA;t9X%Z}I&Jx=?Prk@#gR7@
zMMXtS*PaMn6z^eS8m_G>EZmn%QN(>!Il1It3cu(&Ge1RTA}33_0Yc1tClNmtaITx2
zwsH#|nY0OQ3vTgEz3#r3injMVjAlMUuq~{;-SyT6HO+VZzH*CBh=-n%d+}8{Ez^I4Y2Vc=E*^!)
zyta+WrM)3&XG14v;`;_26`^ZbP=H-h<7~jxcWPDh%Qw{thONj7n!>**A0SIyadsrQ
ztZj``pBftJ&p(;3WaSJxZ^6KI-7v<5Qv1E)Y?VUteuuuybzge5L05!!UKFP~7Bn^=fJ8zJt$kyFd447)FxD
z?nmi|5-w4;q8Fm^e{Hz71~p!ZyXJ`!DvDiaQ}Dlzj*MhJdUSZZ`>oCUHeR*Sk+Q4=
zHskxs&fE9bQRaqVMzyB|jUzK^k3#?b2N|lC`@b%+r!3tH-AD1=N@eg8yU^~LS7+kK
zbmzZf=tzInkK#u+@x8NrW0lyJV{T8%_wV83sENp{JZ;qS)1!Dn_Ui+lu=s=oo3I{u
zN+$_Q5KKz@i20&ov9YQ2D6cr;jMu~?xt0z20d8BDB6`ejbKYTKS%3X|_Pto%3kM0c
zn~1mhe&ICjpL3c|LicGO-90FAwamL}ti)}(oP5!NENTz7*%O?VYW!!XH%@ghwEi};
zh#S-Wee7c^5!Fm8z)Dq
z|AAD&(eyu05NuhZW@;LzVDI*Wb|;~cSIqE2m@W3>%bz%TOo}H+g?F6SdCqgrF~=O^1D^*&wuADc>xOM+VaMG*
zefQkG(cb+G*HoXG`*!%L`e4H**e&ET7A#hp2-SP^60R3)>YdcO#*T7S`%+)^o_&5d
zkl~Q|Ek%C_X&H5Wav&Cifhk;UvTNQyd&vnS(c(+3)or4jdr~btNGZ)|xl|sb82Gl(
zR*m^vcgoE#vAQQ0xJlGC9K#B}J2vFWMOb?ZjAVBQNw|IAq?2NC(tV|c`Kt8bkiuZH
z+s##H*gL#3kt9v~(8?ETgRw1m^n5T~Dovf#f`~{31Y;>SOgZND9iQLv5@yK{Gn6l;
z-Rs&PC6T9+pLva3#~rBo4s|23u-XknoEaB%3vZTz=AVrx5x4V^^996Kw!O*GE(}$LeD9Ba>5|p6}DzT+bt-%qI&j&1+}~4hKq{a9i!@7mo(}qxIC@J!fEIl9`)8
zDNxf8qjq{VZ~@J=?gW66?LwS;9L(R6QgqPI7hZiuvOcfC%M{);CT3c6T3GXQTmQRS
zitp>)CvLj<7+#s=9uGBCN^_f4T+ncOnO_aJ1ZX+=SEf;Jy9aMfbE%9ubNlyKD_4EO
z%9?A_HvIU~GBS#LcjoK9(
zN$Y1`FIsQwvSAT?w6`x`?#QsSEBF2RGx75z16xD7K^Rmkhg1sU3g*2EQY)
z9~_|=>Kl@KOe>#t--gC{or)JJxTtM^*3J7S$3g!IfXx$<)VE`zpFe3QzdWjw1T~Kq
zF{VA&XV$|Th28s5k;mtYv$=-$dvRcN(xtu0Lyk
z*Lmpjr+uTxN<~&f%Ul=r9jcVlh<=&d+MJsl!#Q0#yvMe4rlv{o+H2hQSR~)O(w=;M
z9oKdk?R-|}lPlOl>Yv0C!unQ4r8&mQolsm)H{#`WSLntbZFApziIyVfaR$FRb#k*2-@W89+VT_!and%qvE%bes+Yg3R`j)!
zUL9z9xzmKRW13eDa>JL9B|g>|Wzd~grDWjp1as7?qqcHk(R}_aRd`<33+iU%NGdQ^
z_>%fco%8Ci`GtOlo`iY%2n|I_O-`y{L(#*MDhaA@;Y%p#`CKUQ8nir<3G3QXG5W$5
z*nDxVACB{^Vm68QyhmG;X21WTk?N9r(}N(Yz
z6eS;KzZze!KS3&jwGr2PpA!9Nk0l1aT`hp^*V84l|sy_8j|*
z*F{2+w=tagRWj#|XPw#{E
zYC?8%a|)kFG$rHX3Vu2pJBEB-tCU|Hgyj{u8NErqgm=uPXRNiDh$W=j4hag{bo31~
z;uDYhzJ7hsr-TzmS!F0v{;ZB?Qc_xXuVS8(`{su>G@|fy-iAOSEhndPfKh=yw~&*@
z`PX5cTES+`6Yun4mXd+S+gH6~@D;g+sWL@W%5m}W8Bmaf0>tHim^ccYNt4xX^1d2F
zyDpe;Mug>xiHQlX#|D00!dLeo$(NBfM5`*K^ugon6E?HUuVESVZFn+H&2Fu^NLiHK
zM~%9T@!0`Z{l|y5wHu0u16zGRI%=wA@s%kDVxAc7;X%O&AVF-p=A1M5eCA-Ai9O+B>E4ar^yGdmDi_csNfiHRaO1`+rbwuR*F{tv*`*p-Xh&Cjmn3O9ys~Y}_GCNKIV5J=&KViS
zM}*S*9&c&Zl{)x6Mbv<{pd)`->(8ssP;iqT6bZn=*2My0dMU3O2_rWdq8O7Am50^-
zQg+|=i1h4M;$4h}pC_GzFWt6tR#s_T2b;&Xvq?U@HL^ygJ|HIf{WvyUkhiaI4m_PtE1!2W!9(|2<)vCNF4M~fb+@NQ6&&0S3xjq-iby;2F;VXlg)0wQ5d{eT4xY2=L
zY#~FLaQJWYO9&ezK%KLg
zI{c5-6y5^(RLH`X=>_L=p%r8BtSf8>tXmQKUe?dH??&AFT#aKzz8}N1<5wPEe1A*P
z_Eb3lT_@VY6jhY2oW^&lbj|xS*(muJ2w`R`(IYNBOlCrdBl9}{@!q9nWePaHc+D1S
zcJlDuO?)*dHhUL)qzsCp+uGVFmYlAsz&wf&KK?nSdWu>^MS#USp2y~iKzZZOD%H!o
ziW27e>CSmxzub^cdYYD{g~g-hr)ujU&3ZAQm}1);c9Z7Q%#UOZ;;F*ij&MAJ;!p$g
zvjd`%Zs+zq&jT9k*I-Z|qRSuiCml!t*V+gSI+thv0-oN?KjwLBWp|gultjBH8%fUg
zx3RHgqUAOX1a$}l1PU-j2V|hEt(`>pP9rnh-K3AXL>UO4DdGQvaxA9%4;|6Tcm5Wz
zTVHs`J)*R-Tb#aar72Ak;T5;_@FDWsXgKmhSJ98F@uAwR=T8M?<(rHmOf?ZcZT
zR!_jUF9g9Ab7|4wgC1rby*(ojyD2b|4zqXzir$xGcc2Ppl5Cqbe=vkUoRN{-zVqC%
z&G;vn3yCswTWTjv3|(j9bq1RYRx^Or#ezAg0%|a%{(NnJx73bJz-J8x7yf#wub?#+
zPZ%l}z=C}SbW50+tBF7+kKJXu)~nufb;>2{ItOD6sU0;TYR6mp_+xCNLH1
zN=E2hsKb{T9Mhlh2F9cXf%bPpC%E_I;+aobv^9Ue0~Yrd_xbI)h5Fkxffx8W@>wJG
zF79k{no#tEo@aA^3!iYD^cs}
zsX1ANE^(*F#+Dj8p^MozHbGD+h>QaynPCtBnFIBYITH&eV)5g?aA-)tv2nJoCCyzt
zvC)h5y>BgGYN}bHPNBZ@*@4P(6?T#s64u;Zo^MC@u8!>TJl11keE+yJ0^uTd&P}O1
zUgraP`_q}X_XEH8b37|OY~an+*xW2Llr1GubKwbS#N;}R+LVl_(&3@F=Os`KP^-P3
zy~6d_p7Xjxwehr}$x81nAk{XgD{{XCJ+HFVC5a`BP>3M*om?za$=Bo4U`w((byn@8
zX$bH*Wi2hj${}d?Te^mGEhY(hDJ(@>DdjJ}f)zcuXsUkJI88Izc>t8^TEjm`q#S$x{{JWU%|r(M(?&MF@RM`0;o^%VGgsNXxQ<#Y?Gu<7OgzC^y8GRW#7Ik
zyL)E$cud@6_C$cWN^q*7-%@+3V4;#Cp4w^c$TekU`g!}e@=^+NJ+~8o>?%)PS*SE~
zJ<($VpSwGThRoCUryif*cgNH;(}^WBEpz9(#S=}XzOQz{6fPGz=l6&5;t^Gn)cQPVYt=2_`}9df
zZ#b|~@?k?=-L{X;@yt5WIZ|H_7ue
zzbNUwdg;D?J+|Y9KQ6_7b~8M78WF@wK7TgBijkSF_ylFPk>})_-LTgS|?N
zUS`S~t0Kcw?-=yZs3sx)AgC>9-pTA>t}pS%)nG`Ma5+;hhG6`;nt&-7K`Q(TDf1T?R)dK
zKH05WP0hmjsq5Iurtvh?2@K$6KDu@XvVAs~S_mZ44aDb8^CEf}3?u5)s$_pkNz={&V+3gJYO;GSm|Y)7Q4#2)lDN_n1?iSh9q(y7f&a4zl&>FP*5C#3bYQc
z{Q01NZI>GW(a1S$dkA#&VsdjeR5UFvXmZ~Mc1hIQ#Dbvptb`)w$&)A8Wpt+Dr`%J2
zU)|M>B}N
zpqUK*#PBTYUmuZZ6!LWKfl+zp$gQ9QzuPMIJSP;wjM)fD;XBadSl2ZNaf9JBC9(fS
z>uzvvqS%u6V#!FdgYE}s@XPz`Z(Us6Gxt}v^AUq}HRszXx@4)s^{sIsOAloawYRmg
z>`cHN*_mr6^Plg2!pk0m#F1HSYDCg_ON+8QY*wv5J}=#jA#&AT?-cU_@wOcN=AWrWoafEMLSB_valY{L^E>18xT&$x+q#XW6!kj_
zJybPGY*kVh-q+r5Q!U&)9pPiZTpZ4H*Yo=H(h>;uAa`8>`w~vqkt{4MO4qItDUT7f
zcV`ePiGc+@<7O+tffuzQ&a+SNasv
zk)*l$=)kJ!&mE)VD$Ms6D^7KrJa^BPoq_Q~aZE+7pMuII5*K`y3nr~E%|KscFvuur
zS5u!V05arVU%scbEm+>8nqFNRlNnkPF1~o+y*~gb6lZ->O2^0o>kAEG#d-&|jlOH}
z^0G4_y9q1mum=5O0>Il`=TIZ?ln{Gz;^}3|n(HU%tZ1Ae5}D{z)gyQPDP|oG#r8*(
zw4Ijq8yX(wCPTt-owm(LVhY%a^I2?8d`0{?h3l8Yc6-|~Jgs^c8>gOHw!8qAPOZDj
z90gY3T-U^A?->zY?gdtR$+Tnb+0M7ZF-YP5t&r9)*o$f^(8mCMjKa8?4*&T&=(;m1Y|%;yZV^$n4|`u@p}G{m&D7
zKKZKG21PqiFfuT(Cmz7;SK%t(&*%N|gRAd9C@x-a9Yoow@12>Vw-Nno
z*)=4;Z>=t2L?V!DWw>B9J}GDDP+6r1SG@+sA@WGADH6A!uGQ{5vBISjaDu@l65HM0
zvhn861m&&zgX?Gu7XTRZ1YT#p)jjdaUB@+Fg+U|ymocfWeLsA0-|Hc%z`CwX__z^<
zzShuSnR6=WVkqs>4qZvr7E51$lVA>EhEN1o)l%LOX1bhN+CKXYK*LiEQ=ho41=rn)
zv%$Fj2son%Q(v>hOK$MfagK5^m~S7J9XF{xpz`L}Z9qHhZp#(`7=|#6O3*Qop~V8{
zI-;5)Nko5`mLByfInkp}q&%we`-Vy^lsA(4Q}f->4%?pm{(X^Vs#@W~{G)k|pvq%R
z;ResmpZZ>Bc0_EkflSd6wGZdJm-|j_Sl;LN=FQ>QXoF@+03#8hh4qVXMPBMxXTV(%
zoNUL!_K**6hNZ6jC2Qze@;AK
z=OI46CiLNxAsOu2;Pd(7fufx|-EFT@(CX?o{UCkZ;Y;$5{i^U)$}8yk#3{koy%;~(
zZQ!RGvzOhYYkUfPF@P-(a6=0i{<>-A4nz6VJr8e~DR!eT1r7*vXmD^ajYEg$120D5
zsTK@tdy3EZ+@o<|Cv7isw1_xTwv)B66i<;~6IF+Qd`3nit3jHG#d*p~s_>P)BsLzS
z`E1NTfy3eO?dFZoy7C^9asbzT&0NNYCMv6
zS)`r?NtbpH7md_D3#RZ-wt$h^sY9>$lIZSoj~D)=)wp&m;sZt9BYBE8iB%^0x2Kjn
z3fv0NC7FTr-&4bN9>Ynwvfx}`WUU@IZ{xz`CupUw3aVZ?5Gd6Xm*jz3C}L
zL@K%>c{{r~_qE*v7u1l+;+DD%90xd*FJ2RNd+F%JxnQPC1vRXDweU;*V_Ab?RTb?t
zH0Cb>VtBHOYeJqvFF4wdv8
zaonUxEj>|yCF)JS`tJme2<^6C{m$U_Y8)Td78`a)+-FkBVP0N=l4%NR{w>4D6)1^+
zzUig9@P3X=NtZm~C`ti#l;K8}lr;tXC7=uHX4Cmn!GW#vs4(wC>fma0G0<{mCNYI$
z=fTuI%Og{%=w+MvNm2;9&_FUpQ6(mpw$LA8tx#NYIKfRu0keptO!Rv-jjl0rN(Ybo
zT0Io~Y1b|(+1a)VZ6`ghU~yMyAYJ|hLPi?Hfw1bLKy@91XKIujKB(|eBvg1a@F*0$
zOUo^g0N}kH{(Z$scDtNqxZ+H0L#S9Q9r+4(@{-o2j#A1|AK;%L-sAa)q{9h(e4=zR
zaR6;83`N0Wcv;e03*09jU6o;YD5S3rC9mE&8ybE6>H|H4B+WdCDE;@;O!
zUZ4p6-N9{p{bdWq04O%p{K9;n#?M+U_rE-eXv$i5$Efny?maVKbA|Y6z9>#A+x#-%
zB7=Yhr!b%zM01|sH;eRwd)&QOE%0;w21ZFY$5Z+g{0@+YGkUhx(4Ys7&^h(aR*-~h
z@`+EQkTG=UfwW`Nmxjj1L1?8ZqDsQc)Np_!F}kgL!;3gGl8c(1huoDb86Yz`VSGL)
ztadEJCg%CnY?Uw
z#17P^fLY}+1JH=^Du>+Yby>xJ+%gptt8MGClJj+OPL%S=%`yx%t~dk!2_}6Dj&o)O
z??%(D$v}n!2>V1acz_(IE9z^d@U4m^-Q3PqI6+i}6N6hQ4!Gw7H--2`0`lN;uyMrL
z3I#EU5s{uQK(70|$dhp)*Ch0+-lVO~!J3xsTLNFa7#DA3pp-9MZ_;1gRJ%4IXv4%P
z?MI|^PQQ<>6iF=KL&9Vn%0|LPWS4r)J(Si4%uNzW7l&rLRL)hwkMY^p>9bctDo;pX
z9u!pWvj^Y`1k7WrJLSp2VD*HLqpMDWt6wAg#)wu!!Ag5UBW@$6$6Inpwh%g1EPm~p
zXQPGNQ#KHhH@{EL249@yD}_n@+t22L-|5Ck3@W280r9X6PZR6j5_4KitE6E1l*q)w
zn@aA9kdTl?e3EykN3$@k&!(p)s_T!`nyerr5NFPNYs#2(nG4O>YaW>w-`{zB(Ij*$
zi8PRbTNyk(vfpY)UED{FcC5+|^4fel!c)2%NMW6#?2RhCwa=aMBa3CKuH6g8eM9(d
zagz2mHq2G78{DIYUe?fr?^@g?Z+tp&6IvQ`dZbP10
z1SV3%r*;8>39v-ELzH_Oax9~Pb+kfVkW;OgD3$+)ZZxc+Kxi9C3tLGb@atC*VQ%Kq
za}{}oqqn`wK<(i9ooY}S6p8sO8mHwOxWe~P?9xuYBVm)>)iKSmXy4fQWMLgh-vV){
zo(D49P3ysyXWYEKjI{kLaM}9So4uDwmp$i+SV1Cj1pyDaDy}2P*4i)t`6m~E*%N8z>Pq*T7NK@VsLc|+
zTu^Ln<#w9C_|tZjp+3-Kj|sfK`S-Ti;Up;m46x+%1sP4h>0Z7F@-+v?n*5xOXvyep
z`gZSAT``dOzua<>xNmbX+s*ScHN>67C`Ae785jE^kw)GE>H5$`Z-Pt46$?CzIOy=+
zAz<5D4o2onO@D&m6iNtK*&jwL2Q1EAep%@oNs@XCUv}n)Lla0=OH0c!DNc6y*5&$7
zT!ZZ^jmfUcU;x(|HjKt*ZIkKo;Hp!TkLmsBs%B<3AJk?LY_PiOMb#!c17GHJx
zzSb4Wj$#(~YX~~#qS*VUEH&u0aBoX>xJV-PXoA#@lqqpxYHhA+>B$5ebCD$V0pI&=
zw?dNN+pWkkeX^9QcbhU=ILkIPG*pLaswiMx14cSaL0~|2*5AK}$$`iy5hs;tRML@A
zQMl8LzL5mDxi7S~w)zX4AZ@=18aL5);Ud1^uf9n&T9V|u?1|#tMC}J;NcK{Y#!N*?
z#$x&H3$}8bXr5saudyc&z0{0~TG(mS=YN_>G>sQU-CAByP|!58%q@5IzS!q!JLFaA
zoR?Qpia^s}ivIf}P)aD*EuV4{Ww+I!Vl8ajFnw>rkIM4>PMMWI#j@k{58ET;5Ybr-MTrPr(vpi{g>PA;^b8yQO~!C`pN)a*4{yDqI`7l^INpE
zm^Pm-IC|^M84vNr0Zy{m?!8y!%_cvb=EjOl8-s*(9@PC@i|PU@e(5@XqUZD4TD3)yO&#c@k~mE)YHG
zN^tQc1Iud_^A?Ao6&TYw(nRMC#a(AT1rKn>S`2?%m$2C#z|>Bwk5R^l7|F0h-_o4!
zNXb{}6l~0rs$Zs#Q=d_r>L>aKC#%*=xn8(n;6$UGx^-KRJ(!1}xX^`XW;Tr;oQ?;*
z856WM(3Xq}TlsB3v#XA>_coq6L6oQnE3lgu%Q)Y1oo(ekC8PPP#Rp!>lN~4gA`r#e
zMR)JXz7itR$m+(5h!o5Rlm{RN0no)hleO9Hsh}!Lt4n$wteI!kzm_txpx6fAFvY}a
z#r**`%VIZ!M`=XQz4dinDAySZELe`D-Ly&2tV>kO{`-RbBDC
zmWY|m0gU!u(^66O$#>CY;C-b(m+tG11$$U3V$s3c-`7XXAuJ%&J#3?4cRvAk^*I|G
znBrO_5M8u?pn-83peR20}Ms+Z^i(V|(!Ne%_`cMaH2ZNKB0vzL%
zjf{*k+}2#D>`>zY><)tWDk=gHZ+6z6W+WfR(deEpK4p!0;6qq{iTL5^*t-YSwJw`E
z{-sYN+Oua@wCtT?f-U;Vxb-*y3oc?BNf`|Ap7r2s^Ox}6+u(ay#4BoOK2fJBtRS1L
z9Htig>~?*m>)pzzC>}O=w*eJDN{}|MpbPZ;I`hd2W@Zlj+Zrr@>FV-$?cB6QOnvdL
zy<2fLZ+$DH
z7g~Xa^4*)`N0wXTvX|@Q7AxXH_gHUPo6%W|TwGiv2XXTs!`1&DR8<*b{9vZ=xg8UC
z%R_1+UhM=Q8(dhXj}14WDM8d_pR|)KNc!LBmI6?vV9KG<`T-O8(Q5nF3#l((lwvzs
zMdjY^z`1onUE`;jNkBo~mHeh_3vKGZ%*+Cl6BGO0MocC%K9-}kXU26ruK%@!TRvQX
zk5{E_;0Z*Lbt->?p0MRYW2Na$W#Zz;UXGz>n{Ks<336=&e~P@&)~57nZ0?X~icZ%+
zYse^(GJ$w`==ACK;#P{PtE#Fo_)wtQ3Et;CBt_pM#!cFOz?4Q5Izc?X`*$ebG4ZZ5
zf&{xtbi<+uHOuZ_W+0qLsvUeg;l@BvgRWjBfT$=?Ut@tyBhg@#E!>Kna2m}YMTpOS
zX7yUVEa3?>yfgO
z(m?TUvj(JY+~jWI$t2gzX$2Kh$80?lLK!(yqUErE|xko{ewvB
z=UbN_-z6~$6*+PX^iChV87zLY*Vwaf#xcWr!Lrl3{)z}nh~J@`dsLAI^a|^KG#*7
z>b?XF4gD_IruPxV0}%HPAa}x3rCEw<$mKmMCg$=bY`=tr+u5*nrHPS|+}CyXZ-1MX
zrU(zc>m6fA$-&0KJspmQS6`n;{9he+PqL2IXpp~KdwYAw#l{ZKW#V;-?}jhW#>VzU
z{UoO~r%y>ypBGyFob9nn3#BwtD)P^5w=oV%1=jhzL2~v
z_PebbR0g-&MNdN+Koc?>jfCLnZquym4b?a8y3jlo=;>d$0pbQ>I*5u5IgX}VSI-}|
z+Ws|%{VTgXs9u7s?8TQOg%`Ayqn4yZu~d(}^24=xiF>2@?vGS^z?l38@_YDjc|zNh
z^ZRJ7s_E_j_>pA3$)}`uv0%9Ci5V!1cnt9=Da7=}`}&548?OE6J&(+Z{~LG0=O8IV
z!)#6S^i2bUG(9c~q6EXA_269dh501=E>#MPYHk#9a{sexjtPJ2n
z=aJq%O#T2@?0#OhgvBWtokhR=>Byt>_PL$8h5PTKW0=+k=3nE?+mz~l#XVbIP4}}2
z6>s?S67KIIA1dPqHeT-`u|y<0++@hMhNe4EY=8Xs*C7>hBR;EnfFCyKI%YLcvzJ_V
zGf?Z~?I}v0Z4?Loeia$CWE0iWF8ZZ|A140s;n}@nGYyJ<5wJ*hR_I@Unem?=d1v-$
z&hSs5zwi~t+@98Vb5#Yo>Z*TnuFisPbh4U}nFD;iKQG<04`5N-hnrpmXbZg52uQBQ
z$Le5V#kmeEpDStWiZNgE_lGEl!4yFwBJK;E;l`Sp@DCr31HV^?l{2&ToZX(*e{3I8
zmOSPMpn6ZhknLhjx@W-=`tu?rcm01p7m_*e%ffTw9BXs{8X8(!4v-J=@}iUXvhu`-
zz>?lnCt4|U?5rfWF+8~@RJ}Z8kXsdDg^j5fo`>x^OMaLvK9~V|s2^Yu>{!#Or@t@w
z2-)?dg;l%i3UsXI?WXTNpZM1`(e2IehEKa(MyB%+rAOAhs0U+
zn})5N3IYD$)qMwWF4HZ4N&h{BLnKHT7Am~4&^4DI4OducKUdg(-huAapC20<8rDEu
zg`12C^#;^q`fm)V_U!6F8+j2@B}d6bMSw759Qyn;7*GEn>+sK~M|uX7zGa4Fi_C0^Zb#VXwOIYob)!#z??Tx`J
z{eOQ3Wbc3fut$|D{O`Y!SV5Ti`>+4$0sq&(*nhw1f3GQ4;J>$2_}}~B|MZFKSu-2!
zdjBqIO5$08t~KfEu?wGgo&mW1bnwV~)q0w$#E|7ewzQI~>
zt>7hyK!##t?S&v8Q
zfFMF56$rC?{GC~ldNTeMsO^vZE6{5HM<8zgkC^(u_|>B}kVW0)eG&iR=HYS7VI{uI
z_@m>YeE9E<-7r!B&ma_Xw)i9Zg!qDg{`})PxG!CUTqrCCas7@CD$rUNG&mG!V7Z@O
ze2-Skz@P$&#J%y){e@q(wVicI?I>AM=wGQaK6&`?VVPTLt@V*ua&)Qw@xp(;fcui<
zty@vzOTSOhGxJNL00LMLcBd%;^@gJ~e2446TbB5^2tckG)((jvKE|U1K)ZSKHAzW#
z7Qs6aFd#Sx=ieP(zmis<*93`4J+v1oWoWk3%M!bLTpiy!TTxlw4wpJg>5
z*7U%4*yz0L>Cv4TX;;~O(wJyL+&KQ)8hUO7?+8RdMR2aPHgCMb<9|pwE`rdZ!4!ZZ
zY(c>!vL0?a0@dlWhgFi4Fz(ox@8X2AMQEfSLI!b)(a#{FAWU$taoZk$eHqmbxEBx8
zv8!f&w<>~bRj_~Ls*po7hbR=+3AcvE1T{qrJSrt?=S>6a+Zi{4k0W5(Aq2p>)KFju
zl+n_;E`pN?YZ{=}mdCYbTJ}
zdfTMX!(;sxqaDKD91_}Z-@c`#qa!{!p`ewkc>$l33;`V#d~K#JTf$RP_`P?XxCo*B
zuh;f>^bfUEm6g?@C>5~$DJ6KPK?=@CwDk0i_)-DBzUIwS*(capg`H*-?li=}YDQwD
zBfEYytMo=4F`Wwm+Qa<(@|a5{$|2a;jaXO8sElfOeSL?DYN*v9Oc_L0CPu~xC{zst
zN41+jklkwhvexiLt)caz@DUh#Tzr2OI^vn9uQfOw!-hh`?ix0TakDE4atvd0qod|HRw7k<&-iZ)_g87vrv7v5>B9H$pqU
z23%V(cQ|5Ew{C9!#9QHV_?KrqcBG26wRQd+tX{M*6{G?mOoHEQ`K#>LY1fZ4m$AE`
z((r5i;N5o}ULcrwVb!9+7H!w^K{tG=sC
zZZawx6^Pg-=@gg_@5kVu#OnNeViW|uPev!FEId7nA-M7azS@s71@OxvYM%n9%%f?oyx4if5Q$$px`dT*VM4=Q8OPd06adpO?1f*H-cabT3bDaq
zaCU)=<2eYv-2uIe;OF_5a^Wqoi3Wi}5!*y-d~`HB0qA?wR?dq9P_oRln1%kOjGwmK
ziVY?*E0ZcA0~7yX)6OzOfjj8Y1J(<~_QvVJaDgDWNehd8YdXX4nrND{PGk-@#z*6k
z4Z$5GbIUQn=TPkoz+o1I_76tzI+8+8_kMnk*F7jIs)=I(<-D{_65O{T$uBJ{dkr5M
z7JxT4F~DiV8eWOH?klp?ogbTevEkyh^Kw>~y4O(F$zY2R^ED`FK%5t%XB8Sx3iCSM
zk-ZZF65IsbOwS@v12w)EAt6WnOCwMYVdQfrsd*hqUSvU)HZ28r?tCQ*KRNh4#B$w+
zaD5Q;31vo5RKABInY157LOW=;RNhL1RD1;7%3!8rwTJ^~iw^Kjlmun-qtPjNDii!oqQ`flT2$Xj3=bpV
zkg^{aAz=f#>$!AUy9Ct52t@U^m~xpqcjv~s$1K+_m@qUG^po!u
z>2Ly*DRWsCIB}x>dOI*QA-b!ChYJo3g4mj$fMB
zU>lcH)C^Z#?t`aZRhNq_EnwQ=pmmEftIZd|3%lB%sjdx}_s@yj6`#|-m8OO#DC?K)A+xBMc4z#xHg936MA8r2|YW=MicX13E+S^@WrAe3jxb;u{Q
zdK@~w59Jx=vBR?S1CCHEG$nZtQjp9aAyaeTHUQ>qrqBK>K|iMhn}3)uOx`3eqCCf$
z4<>bbogH6rDT7q!`yzKVsPslzb5nJ-9Ju@eTtqH|d#wqHKnCy`be}tCI*9dwq@|E^
zXLWV;Ntu?`poFH@9J>#u$4`Ja>a4$iOv0$D4e=%6t{Kj%2?bBJHGbsvP@?cO&}4z20+o
zXC`{T0RH&UK4XUsimhKmL_O$l9pK}uvQ3ZY(Q}Jqhks#9{C3D9F++R4$
z);T4JMZ~bgWn(qGW{C&PG%GQb5ZSY
zx%fEc_#JutB=_d)>j9T>%XbMjjyC?T_K{d^i5yScb0tWi7Qccl5_I=>gseNuDbrxg
ze@DVQ_Z-gVM-yXQV;#+d`#{WQ+$xH
zV&dRP#wm}t=q)DtpG0yDh-+ticE{C7X(n>PdYuQ~AB)JGRweRPJuGCIzRS05^Kw8^>ZCw;X6p?YeZoZPE~d~?SQawcFWSKH0hBoj9!^&=U&y%be
zYfx*;7RiKmEjO7+%`vW{oN-4v;Gkmh4rX4;fOP)Nu~O32K_%8wg~c1V?FyRD8k
z9ik?6to^AUJdlIkT(U<7N?otmD`4@SCx~_IJjz
zKZl3oQN*;bE@7g0@k)D97x*vV$DjX}6JI#*N7%*VHL4=T!|Z?1kn0ec2~EX!I~Ue+
zpg?`lE~+a}T;+`GTy8hn50vHzh~_fIdG8CQO6LhZTxyNF<{F5>skFLnPgQW
z2g2|BMmXoDF3r!!;I{Q+O}_pnG}Kk@)`&*IeqLyz!1c?v#0O0(m!(;zB?k)9oCHzZ
zN$)}OzXHOjFBdMd+lXUd+uQ*5j_BioMvuu{xnjdYDV6=k7o1juGFv3p>k8D0N*aRJN);V`9DiWm4J?b?cO0rKr7
zgzQ@EN#ZKW9eaQgu4^dUaOxSEm?CjJ%k@&f8J{FVG@hUTCY5j6xaW*_cS7ZYsHigc
zll=Vs8{t?9CIOL#qiDLCpNY~ofa}jR02(^nzq)dXU$y<3h+sg>siA2biSf1p+`^f|
zskm5(sjIK9vLtsqNIf9$#(sG@(hD1s+wkNgO1_amX(YPndwu=uFT<9U>pAEkzFn%y
zCI3Z?2oebiuIMH+b@d>E`a+aIg*tjCjvsG;A0V+vMB;-DXXs*}i#O}jqDLO3s0@9PuPU(bDf
ze6T4Skj!0yS)Hj$KZ=q(jJ^>wcFLK?Y76u8-!P~O?@6qR^1b!+P!?;@6IQvpyio1d
zH2%HFW~%QBF}R1?^#xuG)ewx*B#
zd+**1K>Ks39Bm!>?27MkBK$8xgQo$N`w{hYDV(N^O=ob*(M#k1T2c~^&pkOa69B>o
zd@P9zv)z&>KYw)P&PP=7M3sdOkFvde7Tx-L&Mq#ESr+;$sB{sbUyH*?DAyKQ1(9yP
zc=al#rbfO!Z#S;y!a~U_!9ul(j-$7b-rZ?Qd5bC%PoJ}W#t`}2A(f;Agz;|wDN53)
z8G(kqkVnQ>eQL=PEN`L$0pQ~7>`Vj_pc_~mGVllMShM%FF+|8!7&VTLi8(+-ktQ>9
z^Ay~+NoZW*S{h7RA*NTw9H-^+#wI>BOG`_KMMXPih4dcKGBqF!IMuN~IE8U7HVD0d
zSEGbu2f$|r()GkR(}gz1@{*EE#AC+?oWTK!!4T+iX1X}}w|Dn(a?Z3FB@;Y*N09U<
zGnTLrgnA2+bijMXA8QyX9nb&)ccQ%oe;nI4$FrT1-i^=9G$LEU{6I7;o?}pO60ZpK
zg!tePiR>~}F-MFKLX3BDcAmy#Hk|nJl~`h|IBtt0^z5Rl*qAKBmJ#(~6SIZU_wQ2$9M$Pc(gN`Ej6))c$RP0mp5wcrpb&%sJdVLeAa{*$Y981>wo!^AcWL++18O?3EixdyaC*SR6gHo5Nt@&B%
zzbW|Z4kZ4_?c=a<7qtJ!l8RC7=jv!c0jq4&$3RQFTiPh9Ml7`K1dUtdA+C%g-weeg
zC06ctRBDjh#2a&wrAJyX1-{F%&)l>B>0on%bDs`38LHX@%=++f&YIY4i+)?SRWxGR
z2)iP1wd_|EpaIe}7r410>Aj6yo2bcg@NV)mGqSQKAP*V@w51{~{iKsOJC|nTMtNuF
zPY_1lZZpzGKtTQ=-61~(!V-^T8V74^>e=i3%mn5{ydb7(hw7t!2#fTE#YMCcFJqrJ
zK)!UQUQR-o?x^ZilU1zP7THJ`n{NK_@2m8Xovn2woH5
z--Sz;+M9$z5Ofg$9v(&n{`of&>%Ohb_@ohdP`Fp3ih2odD$nIt-fEG;+T~EF}UyVe@*Jq{&!&g
rU){z38mLXYhWmg2>i<bZq4D6F*Nsb$(&UI8m8J@^t0pz33W|%XdJ1e8x0#B=)g4)w
zpOZ^S&_D9Bzjo{MhX|Yr0Y1KdntO7;_!yVJaz;iSpy8hS`%TRUr^gHrMTJj3UAb7w
z|NZBG-U6&&TCJ*dypjL0xM1g#t`#)Hzx&SdeGvKglW!R8+Qm;T{kLH_7e5{HU3&2E
zmm*TIf1jRPzUKe$trJR|TNgk1r_#bMUHr7=bVc;vFaN(UX1?!o`7EotT7#RLyU8w7
z`xz+#2Pr`$T_J+G5P@0CWhY2emPu?Dw?@X{&kMq|3
z`#E2~-jY^PR*onrC}`lYLpB@2V6rX$%<})kX8%Vw;D7pJNfTp)Efsyq0=dBasi8Et
zZlzsV#nd#LnT5q?^ak5gQiATDo+vuR$jIT|7+w=FGGpep7=xjj+TR7c2hy#rt@s24
z!1%GT-EYbdYiYmrntlBANhT6lRZUs>59B0AM@Nx#!R;ACLn_b?^81}N$T39Goyl$I
ztgKi_NJ?Vigs`$;*sp%uscQMv)zv1u%U~b2tnV_&4a~I$_#km%q#op<~tl{&F~1u}0hN?8F1~iVU?x>Mn7>hq1vxpAk$RK7trOPtpPm=_ilIBzx{Fw@gZ=-0cd>*yqG
z)Gpjy{QGyjh?kV0pr~j>ipJ;f+y9(l*5s+nY2XmB>ciDka}^MkmcxQOHZn3nZ;XvG
zd&7!oEV^`zHe4_xp3~fF;=3sinuJw{PTF%ZMpMneU_(XmpD8XblPw#^{NRD8+pJFw
z0d9a)3bNWZaj7>^v(&63glw|PI<82=Isj|X=xO=q$H(tlPjsrRVq}H>JxHaq9ihML
z#&mwMZVig0`S9cWfB>O=8#%dP!BaysR2J_ZE`>!S$&
z8I#^g7X~&toiW8-tgEYwT-du-Dm7Wit2&n5u%xn*OS@PDSioX+C>y>QtGgzAmy)um
zJ(xr`a>jdCJ`M|QG7M(XHSLN&UePaH7!-t$^gBPL_N!J*71sG~@`c)a>jh$TR3;MG
zxKO*ojL+L{v`E`?A(S^dGBSh0zCrofvuA7v*qt7Bbj!QTJe%~4jMiYOY|X<_AmDf-
zp>Q{M03M1WNya;(%LKkR`|#mIw$fM_%*{a-=6tyI+UIC74!)e?b&r^MF~&SsA-O<0
zih+rpT`?jeLgAEwoRl(|RYemAg_g;Mja
zKo$|DVuPrcf3L{xb{xZT86^dCR))C8^!OoQDj|G*J0f+6FFg{;qBcZ
zdmTHHuS!f!T{1GFR^Qq2&mf0U4E-?ZA=R|B@)%RShZa?v6L!{OpbY>2W|0|m#L|#tKa==goNr!N?+;n
zv$9@-sA;g;H517ND^`uVoCe%gI?{J9lZLz2&CxFfcx7)QuVUmLaKl2`I5v6TYNn2G
zno<%2_ZPY~cIswkIbvdBNxnSKo(*m^f-Q@Qj^?Tpar>@Q{9m`!C`4>T76yw<>7Cfe
zn&E6+t+BmjT&_iaQfhbTu$@q!+IUAYQ(5F}JDgsB+&|&#zl?QQ0Ulci?wpVGijR-K
z*pmDA&30EXIf7GaZGl9ZZ{B3=uTSNcHlIzdZ{mT61HQv1==pM_-N&cI#4j~R5WRNH
z-ggN)C4wAKMFqCRX`rD08qHH9f4B=;!(N{4;$8n{O9al>R-*x-gXsk{&&7K%!EPf{
zJd+yBuw4IQgGQbIcNhXYe&a^H^Nz!Ra>kG~sn^;4Qndy<r!6qg*yJa1^TGC4Ene5_&^5|F
z!mjy?-!D`r@;$0LD>qhbL`y91Iv;wcoHcqirzAd;;Ki&jX5PFw!=bOQlfnXh4=@a;
z#+}q;YtyB9`GZtUsjI;ua;5uMq3bzNgB8^e^(~|AbzQq3bPYPbtI{akIJGG*u(obQ
zkVAjdaut*WYo6;Z4-q=WH``K!!$|H~`7Bw6A6)E?1CJO)@&G(T+@R5bu9I1ws>z2o_$rbg?RK}rJ)h+~HYO%}e*R4^I-FVv)oKU+
z9(H(x=N+z28rbg!9*yO^SGIZ$N<_JK1BrOUYO1)UB~I!_YwR3hghojO&X#v80rX1k&5;|}ub5!Y%Tqi4>_8~{Su?HcFM40+19PxM>4r#FOknuxD}$!rl9{-b
zwwV&A#})>q8yw^Wky%^*u(%lt>J=R!=rKpX0Dl|K2zbv`bwet=9`*7?x}6p#;%1V7
z;ijkL>j;&w0*oRPMjImw$U
zTu5?2`IYW;wV+&vfXI3;UgFdfonV)oI86(E;2f%js8#fJ3*!!`oZ-GlGdHTP|9OpF
zTRK7wGj!OkyW#E+S8(S18u-fwZFVK@8qSrpq!q{e4
zmwI-4#)BwnA>+&{OqhfxdhWK51D8G{K0dJxkM*niY8}C}Qpp;{J)>o4#V3R~w+3W<
zT<0l}`+pcQmxA60$t24NG1fxt$4mzIBJC`RpGT*t=7ksq_VLM79JC=
zVlD?_Mi6(M`^#E|Q3KUODDt>erqX=n0Y8!DcMMVYiPj3+FCW9}xuN?M6M*~R+lnL>
zUoBKovn}@<8Ufc}YB3oR$u(SW@3Zmp9_C?1R?Ff_Yfv0m7i$P@wez=sx?-)|JTqh0
zU(y$Gn++iaN^$1Lzcx-I3#@$J3W|F<_2qZJQ9k%)(Tf_CkpA;W-j*2L>!OFyAuG&E
zEs}O2J=5EpPq~ckYw;BpvN}op@kpr2F%h|yTaxNmt}u46lC#wUv#%V@s~xx%DkC!x
z%c-q^=tm7AHd2J`sb3BEH|yo@E)ru(&exnWH^_Lj{JuTU(f&OOW$gjM^6Oj!-D^F3
zxm4PG3S-TcV@L8KLVt?IrNB{|vN)ubUhZMp>)Iwztoa)`8%Dz_9cnj9X~cnQ9c;6m
z@iIHM^Et@uC;uQ4X_8-zIJcR~{7A;YAGp03
z9V;FAM*O{tcxsBL#czj1+27OK)+5ZT3&xCllV{?S$xaH0bNx}CQcXAHv%Kc_y}ibg
zs#_r+sc9CWn0
z=4LaCfTq*zsnWzbp)XrEOX+}9{r+mQxK!oaGZ*ryhh3{~{F!+LGHxf!sy<06%A45y
z`8z%?JJDxuop!}Ze#zKMN6OgAw*|E?&u6L>4NX%;
z5|TN?#wKyGt1WfA)~3WWIT6az-L{-%8~iatYa=
z)S{v+oaM%N5?65f_5FOp?Woss9GyJ*MVh*d28yWlg~sKFNeOWY6>V}QPQB1MO^qX^
z5nH*VR*jW(J=$SEl6r*7J?d34SBYb=r&v}t%%5LVc;U|p{Mh()RSIT{rdIa6X8GM;
zifEmFL~0wEBDi%);C{mle7miHa1H-5w0`;6vzE5A!^Nf)
zWFnBl+;&7=-VQ&BS!%I(`j~(GtbD8b=M_8wb@P}?;Ay$D^&IQp3Z^R?Ha<4uC6)Mq
zh!vxz&a0!Tq@ADYn}Qk<@H<(JV|H?6qJy?$2qe_vfqqE_UN`{*8{JF${>1DDG&HPs
zUn{*wxyc8rL)+j?`ur&Ns7|k3CiVm)bNdInk1k#2E{o_Nmhf0yWb0*PE-cY7Q~olH
z+1H|9f1bGR>=V>HIuDEQRUac~GXPG8S!HTt#Lqz0;|
zIP?#+Mv{w28btbj6;yhs;Cs`mbS~P>jgrvNx~kwuduY3CAw?=qCB`OJc5`}3>>5;|
z99{;=+MAArMHZB`h^{C`bAJ21I=GS<%+Sz~
zZ2CZ1ylPdN8&T<=F%LO62h$7Ms5=cD2C7#R<;fQp4WN}dquEZu(O=Z`rucRxu@`$b
zcZOX*91OyL>uYSQd1~AJQUdSlYJTsOY5B7o%aeBcd-Fw>`1Llf(X^5QFL?J>^Os%M
zoeF#v`t9&}>dikPz8gAbVW2upujB`@x+_`bjh|9{MzFNUv
z%a((5ul{?fw|NE=ZUcWLf0LLCoVuPo&W&yET^W^7v`4Nw6LG>_9O3uD!)@VR5f#0w
zRiv>Pr}>!cK}&wNDA`8|?82ww&{0rHW4Fx>tu~WuSXx?l7z(pMO28hECQpK*!>U+=
zj4sqFH7_;n)o79dG8y}4A{h!rULvx#Wsde1{@Tr?LI4vM(qjmysfRzPDbhQy_o>my
zHGf=DtMvy5hde$yt^O0iz~8>=wray%JBz(vJC(afI!QbE8th5tySt||5zaz82;A&t
zlF@qMbYm|e7t9qx%dye?v--}Lt7FDe{OahCpIc9%sJ&DwQ(ph>t(K_&OoD(a(wIE;
z<3dqb#BI+-taa5&K)AYXewDUy%w9`gdcx*kx!UW=lh$IL`&j;6=gcb3dbh!W5AK>5
zwV;k*00Q+%U+AGUD7}@WrH2)}9CHzcnk+&>$T3?k3Xo>&7KQ37oG@|nQ+uo1_G)Ld
zgtmCqp~K1IxGP=($5Vv1XSJ_`RdEI+n0R{!N7#~WW(omj6UCj6J=i#PO>OoOH9SR6
z7B*H(_4$QSkM+_N#b%H06Jdrv66P2t`xJ*5+5#-!#>>vR>b4R2}QQv5Z3Xyw4J`8!rG~Zw}%?i3cLz;-2zB%2#c*A`zSM
z3{XnzPdf08+l+#|v^TY#i6lQ8sam(G-Z=M8uGX)9=cMBP?aTq8g`8{-m)#UlRmqSp
zZ7htsxle*3yIWjUGcz|Ntl7$WA3hSuN?fSv?oE)!?at*ATB-|MOL+SFJuVTo&8~r#
z);BRRwv!1}HMJ~e_H_x8yLV}$Xs9D`=DMF=zUD9pWn%MGKZFr`tWVwY9x#aK@|JR=
zfL|=A-pK{)X<0h6%d1m+t0`coro*m*plxb|pMSmcLmU(M#aN&GKqiTm2?4r8J_0{F
zOVi0`p)=)D2RCWvw^P_AeR*_mXk?Ek+dh&mT^GrMWh$S;_ffKA!V3LL^0YLH`ZSc%
zr6e$r^V5Ny<{fsIWP&AXd~0>Qn*0(cr9KD<#R|BDgbX-w=AdZC=
z_LucN%sMX$^dqk3%LVXi4WTy~+=Asu;@&&5_(Wr$+HYW5NYH!x>9m*)GD2MBP;+<+
z-1GgL_Y}VNP(gSGU~h-k&Q&tFy?jAi0wz8elYH)7aA5xpX~g%Hvr~Ia-OfBbx+qcw
zJULHb>wD+dG%>j~8$-zfczG3f8JW1-Ij7tNPPd_??EBpLtEL%)HvOpyxY*Wm#-bO|
zO4y52Hd_v#jI^={MwEcElG^6^`371(&eI_)t3bzZ7Oo1i(_r@YH0yxL&bSSYlxKTK
zo~BKR?hJy5>t(5)h`yp6b*W2yu1iyc9!O#?>Ye*H4=kX?pCr4DeuVk9ys1Jh8x~nN
zC=KOyHV@`@a+2%0Ej>rW*FN%W(nxE@v=3R78O4ACx6qA<#>sM;Wn0?w({R;tcXt)b
zRMmu%rj_3YU!0jiW97kI_W8}Xj@`~m$z+@$Gga{}Ck^+XEw4Dnb-XwJ^5?bAcukxy
zmvfoj+Hlksgq9Qo6ksmP*8IEk^hdIXp#HXYScg+1lYD1Po{l3)mUakZDVzq{u`G`8
z@v75Oj^Kt0!%+p2I3%K&CUS0i={E^|&9STTpO7B2%iK#Q%H^^>P;`g25I@1Wob=af
z)}kk(tOF^cdiE?@?9L!uFKU=o6^9B+fzO-QU|>cSE(otLndxj=y366
ztc7O{o2w#m@HKq3h#M5-lDHnruMUIAgJm%!yqMT5Yq+b1m{#6*nI1}EoiB~g=G8z&2as{z<*yzyWC*SCYIdU-+n058^^3WC^&|W>LW=N5Aqb(+q3T_mkzm&s
z(T{jX*p{d)eO)JJX}^b&MN3g}qgw?U(8qV|Qd!g~SFQKNaFKtA$JY
z)%z(l*Ye4$#bV+nxIjLcsi6_AAMI*)iQn(b7AJI-f
zl^F(Y0aHzb-gbJr75c{)J;<~r1hOqKMvUcMw2F_tK)URIAcbHo#?IlMC&&;)p=9ad
zb_oj(xLwl*NYIrh127)$u;*#K)6L?%9&|v}=M1&J!87Nzt=BCg_X7UDQ*d@_4fXM2
z=6OE8ip}{pP~Iq85n9r06F+k@BeWN8%`k;5n`B;X`XjzqSWb)9Cn6#k2=(!t@a~A+
zyop+NE*5GwY}V#&JWy`jl7g4{A?gFet@dQ?>l*0#lEHxozM1x^VGGXB>h+?{z+0T^
ze7hmi&|SZDO~8bc3#z>4sDHyQC2{45XQ=kPW77dW71C?_b-Io(k{gSTzCP*AFMBm6
z27my=D_Ji;;&PqYPB3wZfiRT;&a+MBKJYDtUYMuNshN-J_+b;bp@|79^l~7SOX=qdT!-57Nbc)Uc7#vDtn6UxR!3U@8M;xa#gR>
z{%RytN_>}*A-;R3Xqze$YQ4#ag$I|8K~yI#=5tixGY#|W4cQzwFrH#W844UQSLA8E
zeuqOI6P;Gb@1o=%)$>Cmn`$_fmtUBS4d5WWMKXgM0`?Vr!97t0Pwqn)0Cu3mY%H*E
zd36JkijG2sL67Zs$BOj
z$(;90d$U3u~vUojf
z0Jjx2Osu$dAG29(d~_8%+)?a0JH^hX!Lrn6Q`XRfyc8nY$aAdISbbi0*5s0Vb4+`G
zn3G3Gge;|K^X3M7)LkD+;ndvkD68DgnfRDYox-ZtPEt@iu8tH!0F9^V?2Gl^-RctZ
zp>RnlD}XcVjF%n|_iy|v%^Oi1%bFx`l%!)=IX9D2Zhk)1vloIJ5NqfbDp{pCus~76
zR8w>^BovV4(df1ErE38(c=>pNz+y_WzR9mJWvWUM#QU-G6S1q`LdYp;a<4XeS%Gp^
zC)HzQsiN}+KDTkZm#5dvlfV~$&ZeE%l9dixBb-ZdML~7Dw^q^^iklm`7rtJPS6R*V
zUs?c6TY7-rOnp8R1oUO=)*@r
z-gCQ2orWh#sOp|};HUJPja5}aJAPhFOfThi#h(!}c@N`k+5UUe=d^K(aJY&GF>%7l
zWW7xN8r~lK$E8b^W`ie^ym2J}q3J841fHew(kSf{{ZE!Ysl;37d%LA;eX#{B9FLU(
zHw=n+9#$WFpTC0J`JNl+c822PtL!UoxWb$AQzje4o3(2OSFz0?0fTya-$-hfACzFv
z*h`gMX=MfMDF!tA`;$=R!tc$W?2XssxX)(hTLXH?+vvxK>*Rv&WxZanU%$pb+Du)L
zkdP>N`{(aS&gU;*BD(%2HO$+ubzp*nvrl8U|VcGXeVDr#=U4f_+IRHUqP#vd>Js1VZ
zi)T6u*!Y&yam%~KeX5By0uT=2u+fk*(bV%=9(32Z?Vb77&e4i(sW~W8vUD8VsptA4
z6~{5_y3X_<#bT-h8of~6kDm+)D2#gkAR&uS*y)g=Kj}YbI{G+>Bn!CB2$~
zs%oh#vTL{?-(};oyEOLXr*!=RZf9rR$nw|2YBmIKOyMlW3|6DNFc0+jw(QLni*@?P
zg5vfePdjb`2O&nhn?~QU!P_IE?_STb24=R~+gJn^tw`RVD{CEUV
z3(vC5C1ZvD4Ns#HrNDP_00G+N%q{Seiyp)Bqu(gKg^wQ}J2d*vm7P^O7Pf8KxVe_t
zoo+?Rrp~U+8O3#cw#_=rXS#dujh(mpCIm2l5*E@Yug_mP*mzhmIBrqGGf6OS>YOT*^uRNBI2wn?}hoqXH@ZOD#lH`d2w
z3vYZ>i~9u^Mi_pOG&-$(Ej>kRGVy(={lnRg}8AdMLy?ftGVx#3~PN;^aMbQHVR
zCkt#XKEF*)B7UCfMbgg$A!+WnaBk_u05Dp9WBP@4(ln!)*#R2|h3@Q2zKX%TZK^42
z@6P=uI|+c3aB)2}01iQ3Oi1|DdfUIrUt*+^T4}
zXJfui46_U%An;|PzTn005eyu|i8I&AEW8ApYFl5qxHlnt8fpi+{7}jQw3q9yRkK;9
zGEq2H`mu=Nn1wB9w;_D^#sxo>@&fGhG5{bT?he88{itxlVx+X;IR#EN=!k^8*6--f`i>^uPd_hAGaPe^da1n++U@+1KTOFWrviQor}-=pOPTo}zcS{h
zLxsIN9qH@g^kV~Pwlr|&WMQARC0|0`K^`)K1Y|{`*}>Y<#{S$D&^4rnljqRfq{=E)
zNE!X|UhLzyUh<)m;>f%6x|jnhu$~h<;910lS?lH%Rf}@5_$(}#g+JmW^vq&M#4#MC
zY`>RQZr@!;^UzC6sHKdw8Q=A;%t(NweK)DGJ%6`7-Pb+qxj|&HJaQR(ng|^{f5pnCh0pFd-#
zO@$^vPkc+^aGlMD-LL|R>#_iYK($t(t8B0)>@H?gn`8FMu>r=d?ELO*iaoAtgX~g7
z2V$D6{gDX66;PmG96tSX)R{P76OPJd_zjfu2y^>Z
z0Gm;eUtFbq;Id@d=yaH;y6HU^?BY7>lnts_`j3Hk&wx2$7Chf@t~AG`q-;3b0zebnY0K-}*;Dz~5dd;51ciHjg=u(RUb)55%w?SzS2?NO8zwxYTu+4+YW6oXj~cyx
zSr`RE2M|_$bf6gOpOumEC=R6<_uMV1hEYxDiRNC22%adAEX>Lt$$>7y(t*7>LoD2W
zG6&JgxwrkJE{O1EEFIM^q0J%EVMO9B1L;`Kbgo^1{9^
zK7IVF5seGPz^CyUUne~=_!>;HDS70OIn$>c!PYzf`T9)_=Q2P0Cntv;wh;9L?Pfhw
zsy_dFB!XW5eqmpq5py_u!*|p5a^+cBOeNUzITqB~_!irNkH-
z3@GX>1*)Wy)ZxNJLmC!e0O2Uw&TOcyLqH8YDwhthzQ%gwx#n_}J&hj2#%Nx&v*QBi
zFi)~@A@JutF)8T6I^>rg95$wl2X9
z|MM}-+Z;TwY|lLC8KdZWH<4|t=5O8yILF*bPpnZN(b~h}Ec4Qwp+1B^HW>CN5@+GLjnYFY*OwnehWYxYg
z_aS>jNmpre;cUrN*6&Bl3Zm9wVT&X@25Oyy4L4-7K)B0!wthF+a|tLLxX?n;VSg73
ze}4>Zbu(Y)Ii|OT9;~7C=xpS2?cmB_rs-4CO0!;aZJXbZzl4R2%JU+#W(IqWMUn+@
zF{=IJ7D7qz7rOnRJFxr8l`YFCBu6SLNtKZm0CS+Go6$WsSMNn|k~B>l+w
z9rJ#ifE+eAZX88^j>lpDA28Kl;~nf;aYvqV=18t04Ri*9m*Cv>hR
zgg`v^j0Msbx1+|fxJlu0>@DgXmzvo;Mqc}|-Fl+O%^4X6$TnlC+Df(Gn*36dwfmyZ
z1b;3#F5GMW0|hT7BrJ!rq?_#8=&2t4Kshl*ubxcn;MKSj)osnj@M(f+}-eKE*mU}v%SWxw{D@m)z0MwO*X?lOTf=}ie
z(Qw%Z_w`@hjvMbB7lfuD&9DFcFGBwQ_t!u&^*Tm|-tTA{DxER_HBON1+svgU91zbKn{g7mCkrnunc=K*EQ
zs)am#C#XD2`2;nq>leS~uF;d>+lcvzI1|`iOejgltb7=J%hlgw!-dL5mqgr&Y8WMf
zmJ=I5ZzOs{1JGA*8h3N0xf!AG{e@}@(j{5QcSsYfYcTyX8Txkf3*3CgNPny%v0u@C
zw=%FZL@AZ09P5I@rDD(X57Mrp=jL%+sUGRh?BoW2
zV)%*1@Nv>f16mdT`qN{d6{k9=0s@59WR#PF)b0)_VYxw_>e(TA48JI|dx21T;Jy6j
zs5Vit{-*P3h@HORSP02S+{&3*IB4!8r>fN7)>k*#K^T_kjURv?zA;)OUv&SuNA%HG
zS6lA?t~X&8vDbjzH)w`SHD+tI0=d_Jh+#UC$T-M#rZSkI1^d5*U8!_`*7`!G5hLki
zZX}Y3(+?=LD#vXxm*B9S7Z*?Ezm$ft%fdN~$V(GFoeg2ap8k9$Bjh17k!@-PP%1~N
zNKj}Djji()1D-5VF%E|nPrtt%N(KtDDkIY%h-~RSrlFJ{>lii%UA;HPa>2dyLb&5^dqvcr
zie4Q79eB{yDaA{)M}mr88+iL*X-BBqc`c9d#(>Dl>(l%7!0Uiw2fo@EUbWy=bE^fq
zbqnzvBU8(#-x+U0{V=wtj%~5BpoxYEK#0KbJz@m_Qg0v?Hn1TGAIMyK@+WCMj&xd=
zDIr6bT*JBL5D$(Spf*;vjs)wu5wSYRqd{_8exK3cl
zuIMc-`UF<;F6(8wfUMSh^0twLf5#9|du)i*B2J16HSwI_r3Z5y_H|{yEv6=(BtL$<
zXT*EP`s6`NHue_hRP4ptV}OK=&1oy?G}~|^ue0V8V@JK3$dlG8Pellz0MZtjes)k3
zq0p|-YFi$j@ln-=sF$2R-3%AO>eBl}II7rFz8VG~5GW7S`@fO)ZVrnB{*?(J(Xo!7
z=qra?svRfe(C%Hx_CbJ~&9W{SFcoIi+{{|dXPrV{^#fD@_RqizY}aR#tMPJ8))%t?
zYtX8ObLES8>dWe!W_ik~*E)`a3Jdm5!$(&@&xO_(0fi8>oq#hzuh(%Rgda6@8G|l_
zHBnewbw)4WO18L{Jb>*Ay9f=p-08gcL0t)8=mJ2wgg6Z(pB8`=4j|n`14&CN#qwk3
z#{+m&Q2g-sxgy$PYKNK{UWGm8duV_(&Oqt+08~N5ZEY}a)`YpRQqETFJ$JdW*Qv$$
zoEgo1ZBTigoONO!(GJ`7hE+_!_lplIeYeGGu26w~ZEvFi?R@MftgLLR9&oH7EkYJi
z)X5NLxuYe&{dZ{{st&4Cx`y;=N(ZNQ%_bUX1dU&3E~ph5I7*!2zy=b8cq|jzj-irS
zg%LL34V*mgXeJHE({9W+u(L&$#H>{CnWcB5HT$MO9*tjh^^8p{(3{8zq?VHGQx0r0
zh7DfM{M03MBX4>Wa~eqXNrVK1<^e;%bps%`&U6|Q49@8XV@d%Ky86Z58K`0+-n}D7
z3cqk8B+CP=*fd993?#C-n^-NNe*9-}VbTE=(&6%I$3YYFh<`rTY8IuzTB|VDc=|4E
zitkU4$y1Aoy+ZDC)nnN)2y`aW@OypGs8OgM?p>t}s9_xr=dV-8u7Q4=Gt18F!RLgP
zmqIosWQEzdUN)17$bheI)=j5eP@4g;X2JQiyRGxzxCj?Z(k0yS0akt)islL>Xm0_L
z#imd6lpKm~#r3BQK#???jm}0Ou&W8Bluf(yW`jWDsH9*S&p2rpnJ}pXr671y*>@En
z-4PsD-gW%z-DHjNC_zA)P5<0ym#>x4f=0}*!K%nt#4!Z)Wd#jzNzjH7lMif7EiLR3
zEJpK@prXe{EZWm);ckbw+-j!j7P-0EXv_^%5Dxv+ekL67YKwk^CuE>4E)e=}15pAM
zIp4Nb?hQ`!lB^kuAD1r^6W`1F(Jhmkx=Kp+r!_1g9LIJ+ugHEOT><*oTsP2~Is^dl
zmjsI
z5!C3+y6b>a0q$Yl#b~I9JzTG|{skipaugkaqBVb
zb>4XX1kE(4)3oWNCiL1S1flSLAkIrwK-y%Q4l@b}=FBj!o<)d53RfbRK|!!pslEcf
zm2Lf}?*X+l#&oxF^e*)9&w~M%8Zcw~rZTVDsmB*cA@i=ggoT${1JtU-YgxRWLPob(
z16*F?)MH_kWuxlZEZMjs&Gd6!K-yAFTT_r{KzP51Jo$3@c4CELC{;ROxYM+S;LPJT
zkkUIpV#i>7mmAjE4P@Ouu^4^^Rur4q#1=TEb*PALU&yQFGPW-o_>`c%R21=EUacAn1C{{zK3bsWHR4AN-40JC=DEVJ$Fj@&nNuXlSd<17M
z_Pa#{6m7k~K(s;}hOJYLzQnzXDz4)swy{HYmS0=|qMx{EL6{MSTZV1W@TtAa`GnK|
zw~wmo&;CalyRlI`
z_dmm~S>!;fVo*#N)?9pi>oSP`#E@EQY@cSdWKB35r&0FP5eSBLl?D>24RXseQXrf%07lp6*w5FZvwD|1|@&S-w*D^
z-vm?vnd&`~?sZR10|lYL0L)O+Hm-ASlz&x5P0B5IKu9xR^I~9i{!a08=a*jJozyMM
zp#?1Mqe>#AuQ%C281zNaFqc8&2iE{$-{Rn`q=-`9%PEG3tw|beX~TH@u}Ms{)nsC!
zGgot3Ya`IGV%1T&#R48WKsRFPRDp`^W?n5#bXy^!sLtztlkc{VWY9*=a|g9;fqrcDu|%OEjsxNqZxfV@YS
zebZzf&<*CHdVZt^L#ph(ni*9~m#R2{i`bg8Jx-7YCO~}7k7wf$R_b7M$G``pp6GJ*
z>ea~#^KjR-anPFHWD*fER903df9{Z$qnKLKI)73
z#t^vTr7k@HLtS9(MFk8Ug0Zn=KY4a$=ArraU<$qd-d;qUp>IBW^N9+rRMbZlc({i7SmibdsF1zXH
zLOZ``b(*~EX1q3qe70KgJeQN*_T~bJx=lDN(WAwl=;9ibkS3Ur^xACHWMX1MO;!~G
zO`mfomD^)R#?FoBF)=aNmCW$z{bw02KwjmL4>E1Hc=EVejPn7ipW=gvOES=q|E`%G
z1Bg)KLHJaiUH`WC7%H(42vd?vSOMjfvZhDmdU5JE7WZL!U?K>N`5?d`61VLnS76oc
z+qXTz%DCVDeN|;S49#BR2D|{Txc3jGJ&)IG(7k=q($dN{Hbp7ESWA7sQ;g@|2q`Y7
zB{^2z>fcMxgYUCO(lrA80W&+h+ptv7=*o_^S*Uc-HMgEx(78i%CFUAo-(`E&MvM8j
zLuZ7Yvjz_U!-66)^tIhJDC?^F^6s74`M0Z4nj1Q`Zhh_l(mZ_)o+wzSx+p-*n~v?s
z2tF}1TL1d`Fp}-bATt|Vle5oMwQT~gy+Pwa|F>u2^{(rYh)D+=sZt=8arh&q{p5bJ
zPE~=lP`V3xFf(wt3bbV0kA+L57h=XnR{AMw^3fuOYR$_AgX5YSdAr|9xOTF6t2oxR
z0v2W1H~8lE>P7fnf0%uXo-Qet6=JBVXpAn({zBwpOOtsx5bN;+st)`|yNYoJz%*qQ
zm^C_`Cuvr4aBzs4)zk%}AI$;pn}l5Xz%c8?#017_cW37wHMJeDvrd`OJ1|3}QKY5J
zE_X@qnd_QXZn%)2!*7T9gj?^IVl-D!K(umz=H1gKL%RHm936
zq>3V4O}O=VJY>&>!Dz?ZoZYOgr~1gc%wc05^C$r~2RIMIbFBbQ~MAq_Ee%4dkaNU?)!uDtmfb51Lb~nSL9L
zbi0a&XT3e&e&NGlh!5#=fYclrP7(5oPPF#g46m(y4)n99K{IHkIQx{)90(zT^k7~z
zJ~=uR6}>?1Q6C6kNcg;CQRMyeW!3fXw+BWbP?rg6ns|5Ka4N>Io5XAF~(8bX=@%ap2C0`ANjJz-OF5I*XHI2G^^
z6%~!rl!3LxIOxLm)++i7GBU&tX8oFVXQ0E?e1<8F%sSqvFP&)=_Q6_oMbbkq&)$0{
zLBOp9%o{CkC0CgB4uJ{7^yuh&NcV-%pf6t>>q<2Zebn>w^Id1p$Bo15P81Y55{2Fl
z=oY#^L3*GMA@YX-r@)1KI(R)3$a=H=)~Bs^n*i-2QW9S@Aym&N6wA2Q)rAeT
zP(Prl77A4j!x>qOb)MTguW*}vt*oz0(K4G(AigOt8sz^uXxvNl&1Q#15CcQq7lyiL
zUED$mx+)C}yu7}WQHeiah6?S^P`FAci)PEl%#ay%AK<<7m*d03z2)QA-?rPrhhA&M
z4fw?ERqAuh6GkHv_VEVEkI~WUu7!LxX7Bw8^I!e_ojY|XoygZ7A(40&o3B7q5#KKbk
z49murWtx_kaffWtP1^DM+vU6^I
zJ+!Q>jDayrqp;lj=&fG8E8%6ln?Hd)^0-HT{=CA*HcvhfM$V1je1>IFND=%3hMsej
z`>m&z5b5H0(J_`H>G|Acs9A5hkdUWYjd-6b4+bb$G#}qiOeLxlyKbmU@qE?tfj1+s
zp&FapZovY{-rA?l63Iu3EzD`*c>5pAU%p@HV$yQnQw!ir{@uHM@bGkd>Th{Q&|}s=
zxfC^9+pA7GyOFTNwQ1AwE)(~K@O4Kqp{eY<40x_BO|>ueno~pZv+wx2R)3q@ydff>
zdvf1}!k(J%<9v6wXMgdR5HWK`DVuMC_o=AbOWEiiJ<6yq{{CGBy?IF`ztYvz7sxMy
zPetI>td=kL+^yc?ShRg2eEj6e&+n!^2@P@T#TpCf(&mnd3iCk#@1CsN`*9wgX&DWskco1$KR842jrB;j!F;P
z2oQMV>d@&qHZ~K|+JhHn<-^9zNYdsv^=WH4-*OkFuzI5TP3$}du@(Rodj5UAbcd=>=2S@1=Oh!h=suVn$C1q~Tp%ZF^X%B_C
zvDths9FmaVg-Ux7U}SF}4$|dAdirebr3dhser`l
zPq6icWh|lA_RLSd?o&VCU5g?uO0WHE!Pdr``RNU2JmPb2PbUjr_^Pev$$AWW+?P>7
zO}N+6&Bi+b!8`ej82`jq>d=*6pF>7wyCWjXb7AN2+b4p~KOQ)NrvfjspjPH5GTGl-
z1L1w_vD{-^`MM{oGmQemCtGc1LXF+OeqAeV+$Z-(Eg`IMa?fskQC89ZXxY5^!YqG-
z^_@MHP^hsqVenTcYAuh9;KJ;ypF|w)d6Ae)QN{}q4zh~`x{
zyL4Ncj+Q8j4^&iC%0RWCrK9s^p(B*sc*Kgk35#M$680en^Pz3fH1;E@xC3D9jg5_3
zk6nhoB);Lb-N6M@MAfTl7UoehRaIB-bCc(6y96UR7cY5)pjXkE(r~ksE=?-DJ+(x?{tXzfXH_}L@5(nL9su+Hx+V&q-ZmuV>yJ5D
z>RTOmU}YROS2|p_29MUv+i>4#%;P+eP<&CC?OaAOrYoh3BUj{&
z6IzA7GxRy}A~NM=ll~<=?2wU_ZCf4A#evn>A%BFBaaMNtfXJ^Q>`5D}K^^%B)
z2pt_Ask2_j_{k;ZZMWSWihDdymZc|E+ZsyVzLV
z__&L8{ko-71yhUDDIWEpeB-pY8u5xwtJdM+jPJ2+K)8H3FKtBbSiFU$yB%GGk;3wW
z->Z}#WU}wj$EcS@#ebnT9IkCd>N^UviYqn5j8sb0aO(HfhW8G--Aaza>LMkFDLSr%liOvrEb%qog=dcVpcXGmn(ASGT-^Uwl>pX?~t(y
zYCrY-GoG|s#vMieL^;3KZ%#YrA`Hwx2{EHB+wU>)I}srgu#d>n6cfAb^ypdvzF
z<0hjMnV5cZqHWdCHG6g_p0LwA4;pXy>NbU{JYSo0u5B7kOv=TYP$O1?}&U&~l&2D{@CZL?yFh)6d6$j9h7!
zCl9t`^V`qU_FQ^DI5!1_4iRbTmX_`gl@RF~NJ486{ylcSUnbzwpMT70*1LiRQw|A
z-`=4y;Dq1{ex&Hmpj3xHWkynxX_Kap8S7ym#$a#MOh5a2Gy6CD6WTe+Z|Hb%L%P59
zQY9gYnz?jkA2&9X`BfEu#gJNwBzVFD@%21For%S@`@8ocx3%Zw1#MsUR~C5}D<((l
zZS;6mPS*arj~dPTg5q!YsoQ666i1MqSlglUqA&6`C=Fs0K056$yCQ6s(ITyrbTHURyg5UXv
z8cs^8lqWp-x(ldH4xtU|E&s)ghUef(L}{t12Z47+kCsTyh`)1*B0D-N7oIWh^I$f%
z#dvHBNz|Wz>c@lKvg!KNFwL^Li8MG1Ychekt%7R&NFui2<>jvN13)K|qV703xRjx(
zZJrLlqAAj&_yF?jkNQm{a{_`L<&)z3EmvfAGUNwzqJeY5SeJHiI9j9$6pPQAO
zylO-X|NQEd{zKGUab+M{!S)i9SS!Eu8v1!Z@uq=zHJS2!exVYC{L_2HZ?pr11u$lW
zRp#N5h2SqGMHdb+QaWyxxR=TQrJK>W=^K8LG;}Uk*a;6pa_#B0eD@1&ZMk|NN4$Ep
zA1Jfe2%ZpR8YMBvuIX`6sh)Ec?lo*mq;epKf&fCBB^r^o)Gj}c1nFy+I5ByE8pKFR
zyPw#Yk2|K3tNii*D<2!mihPG^Mztj9@8hjimSgonUJ&PydAO!i=6Bi6bbUq
zvFzI8jMvwh-^ghtH}<23c-K+nSbnrn7;!R;iQmBKGsU!WZC9Ij0e;<7(`#p`3SWz-
z`!sV<6v&JQTS@{|@FqjV8{e6QS4;RuGX@zhg#XZxM07Js?2AIjs`W-}cQ+RjDh@%R
z!7B2kr43(7@37xA=+hHA2^6=J}L@U34P}x^!%kj_9h3}2aIO!JKm_lz{J#ip86*)H
zNs(tc6raXxju;zT|9~z*Ochz(a8~}7-4I*C^Aj5
zI>qP~Co$q3O&AP*va*7hduk&DaV+Wh3|>xtF@
z_WxE}${?|{T-;QhjcUEq3eDQuT4YSjv$t>AUMVZ{_4i>{U+jdR+;@sniUh>UGC01|Z%GB8TJde!1^bGU5BE-PW_A2s0zxNT5J%WKK>Q!kY+;jDW
zvK-H1yjGL?tn%`ioOR0B_Pv-ltM7q*Snud8nL-#<8ZjaSIr(E_A=@b{P{g8+y|9<_RF
z8+|ks-#_Kx^N!}k(f)PlLmXw86LQ6RnG2Tyrl;#E-tQdyCjy>jlnznPugs&4t619WAUSn!O{N$&yGtU$T^sEgqeXXp8Jyq
z6)(9tW#@{ipPrmy^(Yq%!LH2q>K}QzJm3?Ft7#!ZY%tw!`PUv{UHt97^;^&2fR2nk
z|4@Jg>6T|7;33TJZoBgV8;|}YMvR%cMKFzH6)1)me^1sQ5)*IS5!%#lIErhz$9G(U
zHUCTI?pSL(o)h`sGr0rKZO)a92q9wktD7yE!dv+^fsl32ib4K8uEIWcxt{R-
z-*AOt7E+S6E58UArc+4}q#Chyh|7KF8z)QSo7k*$a+AGzWgEgR2%1=7>L>Iuk?tOq05!s7
z9c}Z$3qOh&(CyRijRYcm+M=M|QJO6Tj&lHsV&QuF7y)npcO7Sn5dflaz{%`q8gR+DuKQ$r`8nk9JCxSPQh>2zB
zoRhx?@F>7R+Xo7}6%3s!wa2F15hV?RW8+z20pX_bnufKk;!E70gTrW5)bqYKD;L41
zQwrFtwu643m3~ME8R2+xaKs*8$fEfeLIPhYjAf*~jnYNZ^W)Muep=2ze`1?}r|w1>
zZNFck124-;TR2774hz-k>1`$82(zw?`fe@Yf_@#eEDgp34`^HkRgWd9uFksRpdZ$;
zz3x#fMR&ZI3+!kU-AHjflp-)uE*K;^y{QtkPBKaK+V?1|x>|W1ao9#&TymZ4%V5zQ
zry>nG13dp3L^2r2&+k0lE=0V*(AQcTT!%;3ENk-;6
zNu6lL;>=jk09Y6BI$>G&7ecLG%&!HxV9{~NV)(i;jbMkzYedF`=D4A5+N-)IU-n)6
zKyq?^4&A>8ZuWDJxzT+${<&y5mn+zUE0*~DyjJv5$uDAmk9peL!Z*qR?8DZ8lawaUy0n?
z+iK+yNiq9KI{w3QG#>D^AS)^+vc6xZx^CgktWr`)*9D@45@zh#+XOt)l7(jQY3Fha
z0yR^o=EyphjP1Hq*g1QJQyCs3*y`Skmu_9BZdb2@YQVXPV7Aa8b;W7uk>g?esiQde
zh#!Vx1I5icf#Bd=M!NaNr`nyZ{5w5wP~ahnFVcw%8vks6w&){kO<(o!zoEr&2p(C#
z{OOxq=`*$)38tZ&!*e&Z!7mwX|6r!~@?pu~;^yFK4|X9(vf_R_rPI&wVNkb${ja1n
z)cBUL2D~jC1tgE$uvTkyFV3J6-uj)$SF1In&*fj-2SU?otWw90^hY}`(auPc8UD*`
z1%V*5MZDti)a5*!#RLV{g#J(Tnx?*$h_h->E>RZUDI<%G^OrpMvt6tm%|rwcfLWgW
zfnBLf9>8HEOm?VINH7q-EzEcl`Lq0Wpn7@JqDh8v!|@4+LK#
zRFe7^Z4S;KTtdrHseEt))^|YZD^MQrF+|#bZg*
zbP*HAg@A}V+$r^6;+?ZZh}@x@0ayu;F@Ve9`bn##nlsym^8&GZZWvuNqvk*{sYDEI
z?Z}2FU#nY;k&b(8r=);X!!kWH&CDK+HuhlE^0@Xt25o`e5rM%w6#41g+UBA0`Cu7B
zJCuXyz@ef6+LfLaLhZRxE6k1mE$n&lmgiUAp(gXbv%zn#ULD`fCGviZ6zTr2GL58&
z;RuY(NYtntEb}QtSAD6_*^cO_Ljo@l0mqTyFlNPo%Fxg(w>Pm1;q5302toZN=rJ(3
z(U-K1mujkZbPaHmo}?>!Yn!dqN9s}&6hNZG(Hm>I#*^kFbB8eOq@i8vh#ePtsTzH!
zSP;2LhC?H1Sd>&~-X0Kv5QgG{f~PLfl93(;wG%R1+RB2>wkW|47qER@uf#D}@^J6@qDUhxJw30zy&c-o+bg@j(nagkaZZAYMFwGEVM)u(
zWZ>n+JKY{10t0RGbc7GIKCSrQV1t(c--<;VHv3>sCS9`PNiQbP4s}yS1yR$1bIWrtc;utT?@vG0EX;98l`t#E;h^D{0O>m#3DYvI_4H*lmyH3N)wh*m
zP5?c%Pd2gqY_bXQnLVRk
zv&wK~K_fa^9VBQ#0`EBv=>G_}777Q|ji_dR#nyHX#5M`1@x;R3G*u6#Vzqh!Tt+4Ko`ETl(T^uFN+
zZ-X*Gqw;ESbRT5mm60)-%beMbEXxuXW+v>n157ViS^F=(lRCYLW4><
zDw~nK
z(1Aeq4-O{kZ2Gjf30YM7^Mmcp;DJ=@AtYXatWr
z@Oiknu)zXGgUrp(ug#hUJook%g+DBfGBp#E_;TH93m{rU0>Q6X0>?yUI)4KnfE(m<
zCxt}nCqu}CB_ye4`^8x=xTj2v7KkYm-uvLbH5zb}ZmJG_s+lI`be5Fp1*U3b{>xMxkD6pQ9Me1wZ%r6a1Ust&*A2a6Vb>*?#~foZl+-~VO2
zzO0rcvpV0M9)(4RUI7yaM2obZfRONH$!)x6d6}A-nfb#D#t+|KgC+~Kcp8c5ni^h6
z_eUlr0|6^rOMoNzYeqDde+bfkV&c6INm?6zpIe*7?6W~od+O+WFbl{V@vckW@P|fh
zI1rBclivK%g_g45$ZRX#kE~(MGp@w_kA=nS!rG{M?yi;iXJy@Y69B5rX>SX{bM?dq
z11D!iW9}&s*lc6xy8;3Zwt*|?Rlyb?KYuUyM;ypguVb@&sCOK4mcSHlTZ80HwO~n%(0F8rR=1H@xWz
zCZbRKPjPWSk{B%)0nVkV9|a&VySB7n6nyi!{`Ed3nyRu85EdqZTlbHI7nv#$VFB7ddYH0SusSSS+L=X;se9tc7xo-J%!(vyq_bwYy
z;Do$%iZrG#F2LMo7#RHe;nSy3a93HA72)Ay+7^6+QLi1}-p^#|rh;M9m6t|FMz&H?
z?z>tJ{<4yA-Q|p8=fwQi!XrG1Xl7KH`H!g+ugz7y-zmc4qwGI>Xh1z6QEbXR{0HgnXSJ0$@~F^Wdbyo9$4ft!i61We
zokPZz&uUt-G9$`>ifbWr*LyfU!f7-*(hKy4IX+8z-**+?!9MZ+)L=J@)8T#I3($0p
z{XGAx97*bxfCmXk_rd~&-}Tu9%xKv}lAju_s<5zdwY<91RwKT%v$G-RXs#Biy8W+W
z2w8(c+^mU@^7d2ybSw~n7#r>9gTWjNOCZXEtm2&H%HWOH6o@a#0P2&|Hus*46Z1Jf
zKYE=w@}NJ|ca#lbyJch4wYdtyS$v@MhB^EtYc?>DMqGU)<ERk0(U82;-Vd09
z^|}2&UL{VddTALmZ8m_5g6mtu`)_Mf6f*^J^Jh{FP2wLJdI*B5pExNqBFfMsihUih
z{1UcMze{7tG>3bBL4h5nG#snNHhi|&+ut|3xdKSTWov}|Q)((wDfi&-t*!Nv9Di9g
zHMJy4DKu2nnXOu&McXgbKXQG4jsppk4O(n+vfQ7movVMF1g%ZsGSs=b`at)r=FJ2>
z9JCM<6F1BPOaz=h&R2h}e8FUMWp1;HjWAFQ3CSX^ma9Lj@g8~6{PxYv(s&;=OHO(e
z?}}86B)kA?*s*wN@<8w}ED82z|CnptvAUZ!QxM!+I0O!_Pw
zD<~`sg^}P9h{UVEe}|Hq`r>1RAp*0Yt%g6yd@!))5wtEL84^B1Bcr2qi7(7-ZKGAP
zMAv@iJxk-WM3t2VmGvfY$C&zG6iQRKGN
z_3kK|TxLCU$SO5?qbrr6=D(taS6EO+RhU$q_7}OP*!7;hGnWA0AdrXiw;65s0CnIW
z)5`VK|Dcl0_erUffHnMH9Dl8;=>{|HW5BfQX(4qS9GvikgoLqexF<9;B4T4pd9-95
zm_Fh5o|BUk*m%JGWFZwPk4Y?;biQ%+XOiM5A}q`tco4{dO&3}V2H;}?STXWhgb*Bk
zp!_{%M+U^>hR1?|mM<@B?o_A%%VK8xIuwu8X5`NjJ^;_i36>VGLqT=1!?TKhrRyEq
zy}SS>y@-W;%3t@sv>zQg{+8RR_p>fDcXD`FH1Turd>c-#^!@h7Dc3MW1%jis7wZ!6
z`lNwys9Vu?VRatBdw~9B3|!dkM+SspPvowvEw%56W2DNz%}Y^?l!G{TEz+
zLJUaN)Bv89-(7cHLMLxxTUtawZma>uNMQWHZ3f5{U~mxhBiJ;H&F*inYHDj`e0_bB
zP6Y%72cigBYV2mYD@-~l08Oq|K20X!{RD);2r!zz=YCv2vy}
zI2weJnYnjl1Z!+;Z0A=IW;hOYw0U1R-IFKv->xP%p5^Prh%-mlfBdn@$~Mte*u?~V
zx!sQg$`YNAQn%l>XKU)j14Pmb)Uvos(?9sZR()tPU#xfp)QqL0zkTaFztR7|@#(m(
z?sq4+slfxj>h-6h7()
z;J%Wty!v^5O+KPj0`6op!4@FgI7PiNQUwlY+YZgR`-YHi){|-IM0J0rQIMMhNfGE5
zf``wiPA+OEy#ZR<$xdL*~ORNF6fk(6d%joEMR)l;pSYo-;i?L5Om0ltFhYDfb?bRObMl4_G5gBdJdxV)4O5
zKebzgz;;&=5^9MsU0j-HN}StDfP?zu^EP+`_@odZoRa=Jb|)qBFRh5Jk3=CYvh#&h
zQ8d;m#l^rrV&Z%YEFxr>_FF1ot;rQ)|D((mi+XYKn~;YBJkRAjs*h4r)Il?iXtG98AxLZW%AO~7u_+v4P4
z?V=GPbin;8Ff-{Kl3_SrillJ|n@+F}$j3xF=uR+iNv;ADb9kUo<8;n}N%iu`PLDWr
zu*+4A0j-)fW0Rn;M`3p$^sO{c1z@
z^3Rg2Oz4SEYg>L+G852y&j%5^feA7#THLR9aDP1M8v!N;pXH5YR(UQkknve9IvTzA
z#{oW={4IKZMo=e!3;d*`-2)s9Ga6-wXri77Iu(dtzXpEt36w+hx`D*UbA9B2vn3Le
zaH7>3SUZ79LB=(&Mt1B?&h@A{m$I_DPSHbuC54X0!BA^;CrK30sH!}XedJ%VHTEwJ
zq@=ZZm8;^y=@_y_iK~;q^7!k%z}xMlzOh#+&lo=`ljUguWantjx~Wy`rq9r#Gh&AEfZg+CdcY1Q!jA!LHIOd>I^m6%{X-$wyR_W{Mb{zl)l-^Y
zg9g~8B#2ja0FO+qJi#OApV>NS1N5*ec$+`vMSa!%Je3aQ`6RP9v-6!
zv2mbftO4(bs3qK+m??w+Oe1Hmp3hZ-6xuQ=D9s&b%^=f@YaWAxnBF+0lF#Gf^2&;e
zKpA}8S_xaf-CS75Ra>sP^>W3Kziq^xYb+ub_@}qPAL;WE%s;XES!b7j0ddCLDmr^)
zDF7tpp3_&j7=a-bYb2$=zOc9Zoz;)oOqX&a`gt4@01<01HW{KPWWhW03Oyvj;VxSm
zTuib1*-+Sf)oGFfAcMw{KXN0yi@}ki6+$-=nt=rN2h*!7mrN=tQl34cw^acyT%e2$
zIQW$>>G)%Q#&k+Agx{jbC#xj9`6Q1Kj!#2*-@SX+{S{O9vF_B$uTAT>K|oPAlUI`t
zu^GC$vG7(1xCLIsZK^SnEtqfG)`2P-;m1UV)k03eK=vXGp#GV;NG+GAFhbzODcr@B
zl@wDLOb-BDZe~o~prklZrJnNIVSw-wh=qL@0_?KK^EE+wb9IJUzWvqPZ$|{=;u`p_
zap0kkT=T~C_ZMR62ZU)q|9>CUfD8m3u6{lG9yBEHjbs{Q7gjp*lPeTnK7QHA7y)@N
z9~tZX7WJ>l-3c2C&j8|xoA7)x2)3xjUj4~&P2(>wDS81Vtt$6`Jnd4gr|)@)*Vz7m
z!E%9Z$xQOzK6xc=9E<_KXXn4+XJwrUR~~Gy#T)WS#GE%dZm7u;fURV1$vgl_@bHpk
zB!l8sF#oM>2%4HhPgYFMZ8zrPGPAR0-YOyx{05eHZ-}O5P_tejiw}IGsB-|twKPm*
z_;niflKPau7BjP+038;nWKZ@+$>d&J%T#Igj*p=N%g<^{RgVGY3y4}CQD@v2$J^xC
z8z6yBpe`Dwtcrt_u~u?Y@N-PjZQ>;*Fe}^^`RKxbWNHa-?`n+4cS|T#Jur}Gb<~tv
zvod)OgMKrD>Kc5NYQxpWa4d(TsJsJ-=Th4?HXQ8G*%{PrjY&R_QW=>Wc41H
zW0IGJJM^W6IzK2A2p|3_M@rRl7XyDygGZUtgc7KOH#fWD
z3wJV>qOjF@iHNf*Dn+nSInd&T1tqdXMHeiAVo}38ZBp&=B-MN<_K|aK{hJx19lm@W
z1ofss2gBoms~_-OHE)G|^Typ{rt7?xhSn5`=>B7xnnLAk!NNMi&Y
zqZ>qqCwuIS-Xn6$h@B>=j9~nF%Du~cKXAidp!Z0HW0fwuij-?AP(`W|2vs%VuFm%S
zod4$0W{2*s(|=w8%zHty_>OF&@{~hL_=!@_+RBiyP6EDaik+28-{F#3@v`DL*&u;r3bs(n|<2P|yqaSW>PG*=&JPxqi_4?fTY#ek-
zxZL@Z@GE^^eZ&3CQoBOr|FjowB4)DrcG83nes
zA>*e%m#5Ppx^CUkTgv?aQgFcDEGCHH-B1L*T8z0`?723y7dMv4Sy~up2WaA#;;Xbj
zW7C0ONCI)nw$#(n;eeCkIrRc2f!pbfO2`Wyu!$B*0T<=W%%tpOq@Ro!laSMsot|V@
zolZfX*VL9dV*|1;x}-NX1mvKflx~6om`P2C@+$A|4<@bh$8`
z4{~*RVPB%05wq*E*8CoM-}9b;{9|RhmR5V*uowKJ<W7yDId&wbrw&|JG*oyC0e&9UmX-!)7BR_RH4e!In5LmW4en_E
zsxdW_0qir6P{Pn%-a;)mqiD`tFRS2=E=WK&tO)Mf@G>wI3;cg0qWT9I@cIwXZ-Saun06=SOl7CYB)(3=~(U^=-qnk2?5t=
zu3}MeR|hrRg=pc^!
zL4K)jpdWT2Gy~j|G3i-|=ImyB|FqzVzHq>PkmREBIvts3mAgY8!;O;%BB7Jxl5B4V
zR6t#Cly*Y|7c+qI@mZe6G<0uwKU6j1Y^WJWQu+Ix3^09-K;0oFheb1O@In#uEx8^w
ze$+~dvRut%j^P+|cM*v)-;u$1e6Q(=;6TZGHg@y1w$6Z+aCt#7JN)|w
zf8Yv2yV-|{$WlQrk@tlSnn3ihC5D&rfo^4g&{dU5iF`yhBvlwo%tD(|bG@7lDJv)h
z2xzhPV=8`Wuuj_o^w2vrQ_RL@SEyFTYdIwOdGf@705h7`@e~Js5la=E2oM~8a*wgJ
z&~J+#c3i>wN=0)|tf)Xk6IQk`e1!v+KOTNRob{fK)B2rUV@QJl3!J`|z+3_<2?zw<
zHB{e$Msm3~&54rRAZ+=LB*6A{N{acnbWE84{_uhwz)j8KPC_Zh&A|ZEd;msjNDW_-
zg`ydn@6%k|_Dnh(_>!Qf|A#Jj7OxqFI)UxB&XcBlt^YcVDNHfU@+I5TluyC9XlFej
z4@Qq^r-BR-Y$*%^Q-C~nl{v98tj8ZViHh^*;73)}=4D+ZVv;C)>^-Y?tPT3`BYWSB|O9bUQ!`mvb$
zXZ6=!GYJly(q)~jbxYO=2-tNX{}bqUYWsi*hD#cxU)sU=sl`2c#MPVHg5C4c_i9=y
zRi!NjZWNAvwiQtb{=t@QZK8dk;DQ|Yd~=2yYr}|%;eLND)@0@HwGCwmoKL-|PA{p;
zbU_XO@jH7(vnyZ)9A&&;zT9K{2bAOzm_U*;7)ya$6%&AWEp0NRZdbDQf|TRd(j)5CPY;~UWlI&OMaNWtonANk>iQd#rJ
zwVqVaMj`Q})oWhQ@~*Jp18fFa)ziQL3|?r8C=N5Dpx~&ECTKqb_9y}(
zA2tcXHVeWG5xAy9Z;L7FzKdL@6%91^{-L3bqEr)E&|(bw6+?i~z5z~#49-?oQ5l5G
zWS|)asPt4~9u+40;8d0xvmQj))m6{Z5|wf5yB@&sMz@QPwxNDfWD;_M#`0MXcK7rk
zq@<*vKYG*y^iX_4!U92-+Ea0u=&#Ai6F~ZRFD_Do|0k35eTqXPUb@|e4n~Qs#R)^D
z)zt6+S-Q5p9Ra$+==u47nZ0kcB525PlA(+?;#Ty`?2~G!3XgC1bwPvqK
zF|*tnH(X(_#jd?$<`h#Fbe}fQ24R+0E^o^Q%@UN~>t68PDWxvV9l9q)MNU_Fw$VRhR;&yG~RZ3ddb?a&ehEI^sZB+1X{m
zk(DvOUpqPBZZx_=fSoQHm!!diB#z$rnu#&s_DV=cS{kyxzFuQ7fYE+`y+>gQHvu%Q
z_#5ukap+d{_l9BaEsMR|!Rzhq1%8^7F|ngn@LXnYDGD_J_gbJ^ZPG9c?mnC(1c%2~
zzTe*3>h0;tyVx5XIbGd@{VB;g1}BO>E6Wq?x5@DfhxZNlxC6#dc*U2HL#N_rhMl!F
zvyriJ=4TtjLFS)w^c|*E9TY}YYO7ZvL$!RZ_d>;`pN;n8mAeDDP5WlbHrDPG+2$!T#oYX~l!O;J(pIn5
z0;N!c&Hwg90WRIn%*?2<61`AV>>ZbSz$y@R>Zhb1Z;S-B1(qDP88o{O7#rN51Fp+{
z66bgFkIW~tpsuzIEV(FHpN0SzDmJFKtv~5^HDEL5W9!D96uU0S3}45EoVj=s3R1@de!b!YOA+&6~svZ4Gb+)W6Rn
zEZpQBmJW_ZTJdb!HK>cD|vxdY2aHy0&k?Lsfmn?yb6DSb#-+zr}iG?DR_jNvJb1kipv*P3EmAJ
zUaIOjuS(Tsa|X;VFcQFf^oZEC1*{g{(E)OQy{)D3j^PNNL57_rA8t>*IkauzP8*2x
z-`_8RYGvo^0h$l7b$&y-0c8&y8pnriM>CGkeSZQ40|C
zPrRV0Rt1k6f=5cKdvrZfpnw3`7)qFJ#jX?iYaau;BZj5#J?~Oh=K%D8UjnZ%{sTjr
zzDD%j$;(I{)B+V2l^}YiF}&+(_8kL;YgoR}Opj6c^9~;~^_)Z8WsD4j
z?8D>Q1{vTf&4mH;o1mLK9CA#hyjg^T8MfizaBMkwdARfdlt^p~pfNv@G_3o$4K$9v
z2wMMAKKb*Z%!-MLiH2FAON66flB_n&n)Dqmx1Ib_;>mMb={!C@{;5}JyDyGwJF9Z4
z5|J@255gTdwgL!2-8s)G{jid43;|Y1L?~7F`;w#v#28@4{%P2MQ3^U3mBx&^K{ZZU
z5$sZ1)BQIwWTGtTS;#iXU27Yf+b#lPB^MdMMH_YR53`@^UI@|(k)6I-=We1d9DA8_Hp{H~GH
zB;?|-l>tANqyCKV;8Ma{6&&%bR1)FZwg|lCw*=&I9OU|}E+4(A6S&B(Udir!%NvYPCh2C%>cS;_yr%xaA@!`X}muD&s
zBY*$~kN`h9{ETS$mgD9Qs5)~3H|*C;v(e-(Gh}#d3^i~8b^Mx)eY|mJ&HLtaX`Dvc
zG+ehof8|ni>{VnCSK@Iv6u@m9qS0rnp>Jj7rfaRO5LiTn%qKg9*
zK|J$vUj$1-&WoQ0gC55{yR{7NRVo>v_l2W3yva=Gnr+&)-DjQi`u^)9c;B9@JafLQ
zYps;zBTO7>h07fOzRLZj8I>gX9ZD?T)B2Oq8&*_QG?*%|N_$y9IKC&R30HFjp@C2Na_s~a(9<>YM+ku6LM0+l`Hq?#p
zr*$WA&_
zBWw_Wu&o|qnpT@&a>%xe`t%-cx0DTPxOoz_j58Xsx{J)f5;5r$>`SHwPQf1)cDB1b
zPFthDT8mR=|7KX3+h+JQ8z~R?$@KZjIO~#FC0o5tOJAYw?;jrFMH0Y@&AHs$EEnAt
z*%t3Z7Q|gSIwdj#Gaz=^%mAnmyv_#x7QOm6_>jkpjL4Zn4!ytvGreuaPYyca!$H&a
z8gOmyZshn~ki%mM8ZJ%ladjRi2%VRQ%YB6}lOVUozGcI1?BA!SiQ)4$AP|Se#sOfZ
zn2O6M#y~lQcEqSk-D%wkHfUvQBLGr4{RNUPX+<>p5M|qiOxdqHb#K`p)?`-wXC=R>
z`hZsY;bUe5GD8e&6nVNDf)xo{JTxGZ&afcyu0ndFxuOP-vU-3)bWKPIdp9Bb+?MkE
z_Tzr+5{33s8q8h;1Jx;tTbr{jF(v3qL3J(l$83$|jx=&}ONyAVo%=#0>K4R#OC5ur
zlDugXK)%Sx?~TALHIl}M1craumAL^Aqym_F^uv7xSLzlofmUh|fUhuo2Kk-X#jb#^
z>m#S7=Aah0?cG>xbo6e}xX*q|r3nMhL+2x?1RUysX<*Y7nnv|sUuXa8PGf%Z^)16b
z4NVj?O;L$Ui{e2IV>@Qb<)P!0EuOLEvb#(2f{g9&dS!S^{U
z3m=39{W|Nlk#qs@ml4+)+T}WQqM{T4NhsW1pVN`VtnKc?u|2#_`ku^DM4^$oEmHiL
zAnN$;a%E$GzK%@FU;Os&4*aHii3&CRW7O8xQfT&aCYKaFVo%O4!gx)T{;Igiu8j%&
z_IB9f>>Ee7zvrqYh|$INSxPEBSD#o|)mZUXx1zb-Z_S)6Z}Y|U^AH;seie0m?G%FnCh*vkq6xTwe^r3=FV*|kB!KlPIpP?
zX{EFbh2je!{-?LbP*27@uLpi&#V7_
zl;62m#=uv9KN?e8wbK95{m)X10Iu?o;D1774cD!q)fp(*Vv`*|$Q
zh0t8pkk(E1d&u+20_FyL9c!Z#jBHPXi0);R=v1U#%G=o5(crUe-BPVNZ-$=Ln}f)%
zFvRCq6whWo-Fqr()Iu5yxv-Bg5+AQN*$HEJKJcVgr*iPvS-(PZvx!2czO_x~ql5=e
zdVVy(9efE&5N&)`QxY+DIxv|DwVkF~-n~YGNFL4Lj}g2~zdT&sj^P_UyJS=x9ep-a
zXM?(($M*K#BdU37eXNssUWIj?(585V%DvZ;8P{H~8Vfxb;p6A!ETnl)u?A~qK
zn9UT;)6VjGne4*7|ICn)-vQCK!f+BHM<#=W3+xPOHWdut;`c^zo57Gt{lg|vzd2I+n3shM$D0U
zT}PgT(SlFb*4x~u?s4qf8RV<5u;#=R1ePc+-z=&I5}$Ue{WWu*=LVf4xkgz`1TYa@
zUqvl6Dbshyr_+?0<3*_Ua`YjXGBg(&A-ZktFT7{U<3b7|Ry*$aU;-lA8=t2JQ70E0
z!nJZ
zckYm!z_i{THB9r{NrR?wsQ%)$U*u+0j7_}sc-MWAhom++A+zlc9-lp>XgA|xS1kVe
zK^X1z`LD$v!!Ipj;u7!JC4}8>Rw~=xJe;E1clv8u{x$G7r<*ZuiEp$MT7`uuY<6~4
zs0GbO#3TJQzGZ9Nu%^dZ@liXpfs@DhiC2K=KSNaiqLt>p!y5QiY9vQlv8UMXgks3x
z#%p6AHjzfLKmcXJkjcim@M?3%{7flDabS0qCh8D^g=-sHU>U*CZbBU=Dc?wsk1A*z
zsaYNO#CFff{lkaED0MLp2GuGb3&GXE{nprLwJ?OAXXED_p+;rf38sL9DUUMwR2~T)u0#%YPh3)>y
zLipM^ASQ9LcGcio<1
zpa{I>h+^S)dJZi!n_jMvji#j+-LoC7Z?pauCw!?WvM5@QYyYQ*N3z4)@kv~HZrJFB
zk2o7F)=e%nIb-6UO%>VAi8o7`{H-oJ_a+W3SN-M8v&Z(CvGL8?0Sc+u9fxtOagnAG
z2iOI14XM=|My?pH7{5#RG?4BnX8JhdC}b;&a-F$Fi0ybx`*OaOdFhl&Bh6BfkjDe_f<68p!-y+rP@VaQP?xH$%$SSC0ZgB>KK0jtL@A$_V5^=0+d
z#Q6HD@A+=Hzz7ulL~Woj4I}==#B3l5P*hC)hS##``Ptink)pY^G@%?)(dLVtLn9T^
zrXS$6{S`lomy;DQ$Mc|+ucN&1u_|uCU;EuZK?5b@=J&Ol6oid%)MUzS`V14)4qipH
z6s^RYEV}G`cis3E(QSn;IhbV$wOo?;rdc8pU=dHB6y_L}^$(T{*GNd>H}Tg+54M_i
zVgvcKxrNeCO8x!CpN6+c&CL*f{qTWHbe^GS|5ncM(wFV(^{6i`$pI!$N_7=4>JWW>
ze-~coXhWbYv>}h$9)5yut>+Sl#l
zXR%9oX4Iv>Z07a-0Vf3jpm$d;6y6W5#APkv!o>dSOxCaS?o=sx%`a&qRhr|#lfzH_
zOEyQ1-F}IKcg_HYa~LKZ?P9k6Bm@M6o#}GYR*wS=7m>_$|I<<7r-1i_nEn0z
zZD+D1VWt`Q;sLnn$rX=!WxkxehdOi^sVe6ogJ25=Ci&feg(6}?3V&~z&&?P=74v^m
zD3q}x2Ey+;jq&mKtt>0aCT(RW`xbvf#4}YaC1CQ3MN;6)vl5UqZq?cHqm>-(c>pan
z(|64pa;Zb_uXaxNbi}>B*tpK#`vq3>e8_S7DWM?bV016Pe1``4_Oe@4LW(vd6M@$6
z_Oeq3exVGk+THQTsa#p|EppMwdfUVJUxlpMAn+l9z`P9RzGbKssIi_6ns)h91IjF1
zv9ft;Qa+&L
zW(Q0hV>Bp6052S;NAIRlswJm(yQuT*4SaKs$-rsZW2>AK&-T$yNH`to&8s(t6
z*S33lws%RPDpF(n7~Xglq^F{-YiMA5LuV)-p(+=!U+hg&!oJv~^81iT=5@g|
zIoZnI5UY_te{9O4;7c}BeEaB;>;!u*30F{q6oM}I!!q^45So`2FYjwIGdsh38xYth
zFe}vdm_Tk(M%fqb%YjD!j7?z=VO)n=aOD5+buZ
z?LOVeJb$FsmUYjUAj!{3zJrK=ue;lOf3Se`qYKG@1?jdOXRaMd?}3un^~ryB06Fc?
z-*h3Hzkiznju;&m7e2qW#_z_X<3#L#SbGbos@AAocoBkv5(Y>kAP5LbOQRx)NJ+PJ
zgLIdQpp<}sw9+9UD4hn4fYJ@p4buJ3h3DMwes|n&-1_%$96Yl3+H1Wr-#MT8%x5|;
zKfm){Y^E)N1B7%pZE0v|P?Fd|5?g(5v_VQEV{*4WENE;Fcr!)uz>#ii@lW|ql6O^Qz^KtsLik30
z$Lb|9Wc9O{wbDT#G#|bY{9@3k+?!Bs9e=f@z4rYxF%?Fnw&5o+eH`ys@GaAskKRnq
zDsA|m*r)7s5&4Klu_c+Ml@*8CFNV`b8&84lIgj~sb^M!jg7cFnVju1=rs0mXrpyfLPWZM{{EniCMo+WYNpB@lmyLNN=
zX{Au@H!PQ9tjB|B0}(pvDn8W%mFqRnjJB+ql~{=Fw=ss!?NAfrW0E+4vb(8z=U}E59OaxWN3K;1y&SiC
z+9ZN7e9xT?*>-v&)`B-}l6#Pl5L{7PF+J*i_*5uFhQe8RN`M{@#=s1?!
z>?vd<4SGJP&o}9Xg@w(I*3^v5Y_5#bEcE6}Iyi7c#V8I;z%zR`UeIj*{{8!GTd}DnA@E*GZgV(7P-lCB&)(JTO)G*SjYo&(1y``!*fn+kPyGT`uWz?;#X&osLlCT
z)C(nV`ss~LBg7o?H3u_25@(iXeRx3nWO8d*e%4HbYI-IxRM79XIek6hp}QW4{JKr}
z^Pc%WslvwcCXVOA8B7tkEGotoVR@&I;+R2~jgC+fXy!veGhr&Ob1m;S)lGkAZV*=r
zm%5sQDs9sh2$xv~;?#RdmCWC!1;09%UWPK)mm;&~pw-KTzX;TeA%^
zFN_c0`amV>V~~-RxRmn>?0>H3i&yPG16g_a+DmsTJ-Y0(e2ah%Z+08wcPAHEzU22g
z_(F~won{LQ&%o8-fG*0D%|(0)UROU}QMva#&Je%DrxvGAnC|?_vf%T$xfpWDRr~M(
zee&LR+v|agp1K6qlt_Nqv(=I6%UaT%l#VNpEuN`U4d}x(6OoneNs@CU>)%Kv50eN&
z_Og-Nc#A)|%H$a^MfNUdX7$U>-`mq5R@mgcVO*1jGDO_oE0-b+(JgEJCQ0wDhs$S&
zD@tq$k1ZOXRPv&$S3BLFU~pNByViH#06I68jRIYLLU+~wg?)CC?b=U
zSRB1bh+c}%>!dwM3qKB(6(>;`$LxR<8}u&p1F84I)-2t2RvorC@$nzH7)3>C#1sl7
zRg-890_yb9)L|g$jrwfmoSV+eS}A!+keX<-hk7tFGO|lDKU49760V6)^^_GSsZU^x
zjdxNGHMc%ZPz&;QG7r7s?!dc8J*7u~{=NI~0FDhStjK}hKR^4vN=Tf?emwi+aV=}@
z?ya%$XUS~37`|c?^*)dPTnT}2Q3(U8a0Ep0ZwUxwYidqTPAUx?r$CF|Q^e}|c%(j%
zoJJ66H7J{9Uw7zgXJ>a4Y&B8~2|a~;9bv@B-yatlTbpQ@KN4wYP2B2!=R1DkMe{F6
z5u(L0x9q3SE|1paAL%_*BEG^?)lpVV1OBm^@rS?!s(N0oN~v{U!R@uRunV`MoHN?W>jNPLyn#jjrKBf9C`V$@A
zolfXE(HQx_vXUh9W0Dt}W5~(b6_A;VcXD{ewApX3j5dIx)Y$B7rsGCA?di)mA0udK
z9w-syDk)AM9C$1aD0g8Offsv8M)|I(=`{~ePusa)S1EC2(NmT)IMWK}XUPj2>DK12RVO*zyzYhsD7Qy(8o%Pu6e|kyrc}V$N$BYIfGtNA_EH
zP8Fhs`tY(aUSm&YXJ?1%d<+BytuG5WTtm+gz7ZF!GiT0ZYL>8r?(N-ALKT2sns&VN
zEmtKD%L+J!afmf>x{cqkz!v+pKY&^7C7HU0D)C&Qu*iF%tXS>$k6yy#
zKCmwOi?Oh&aDSUSVP3^@LYa$}aeCnYnF7C@p$Ed;uuj7BaS}
z85#7nv`CfvwnTfPungy+G{tSAn_y3&^m6$6HdA)M^Pq>H>f<8tYTM#o?zH#g-&z|Z
z271imcYUz%6rF=5?7i6BC(l|a3%)3nC^uhkgRy+B#a`k-&S=tu`MRb?)Mg5XZmo#63d6kv3knz
zOXtuDn*AF7o3R#8(^FX`yX)(BDur8;KAia>?2)Xrmcf8g
z8=cYiwYQ1bro>vo_2mh?L0nY}$ukx`S+8=bWv=5{=IcUan)5EQzLcX!t{4>;Yz*21
z?sqvm{&Xe0f$I+TkI>y_m}54^AeQH+yH1`GohrM3U_wH_%Eu&g}bq%5-
zcIUz0d$ID)*0}jaKmbci<=ew3S>J$64SYPjJNo)`)S_NNOmc~jK`^$j$bu9MMn{#q
zGfJC)ccI~#o-E4
z=+0o;_wfpx^DnX#GrkTFYtyS_Dc#xYz40*+mrvMcsyWhSrD}V1(57ZQQdNi9QHMR+
zpgUW62deo4p&}jo)G0kEGJPxLY8RtR1H2dQ3MW1I&@J2F*x+OUtLCQdZ}GF#LYL_j
z=7ui-<%ENSqp#AHi-1btxj!Mz*Uruh!tPt&_g88{U%!6MnS_tLeEBl+kCze-z$gzF
zdvn&*TsT#1h$q3vcws&4r3}!FVXw303jd`
zIj+~P?@u+%M9?*3^Q`>b1DOIW%lw}p
z*Y+?$KzU*a+AVrRA=g+GTd_@>CI6
z`uy>N&ID*7Gt{D{tXD(t6$r%%Av)y_Ss5%L+}~P4Egk`l$XQ%m+~9S{Uo`-Ij3)$y
zO$gD=8p~sWN>H~Z3Tv)dWCv}haH@OYT@K>`-(+X@$xl9ab)(mS{C!+5oL0$tGbH5U
zuyae}@FM}Wv}*Ep{$R(~!3!b9#R4mxJ-xV^I5lVEX7HrS?D%o4j;Jo^j@%#kmkZ!@
z?AurKO0=#41*W7GC<^|x2i8}MALcg&WEmk(c5P#&lH|}$rj#I)AaDs4p-+(veW%0{
z79H&mbR#Upxb>|sq@XOmuYd{-IySJ&Z6O4|c=4hbEI7u9@%iqYw<4Yb*thKukKrK;
z44ck#TMb-Dy@xtyTaGUIo+K>oB
z;|T^PrW}fgCPqejF!E0v9KORABBG(m=UZuZ5oNgm$Q$Fu{cB`|N#sY*>=uG+BukE0
zdbGLsz1XS+4w>@O(&$y$CC#m=WrZI~N#0#d}%*&+HJ~|;|W
z2yy}7roe9M0dkFJ@)~b(=F)e-H=s8Hwx*`$>8FUGpdh*@q3y;Kdwa!(83>M{2`n&4
zYC#8|n1lo;O9}5bk$j58xrgz$h(|rQsi2j@N3TP-h|2WTRE7^A6rf*lIYTZ<;>nYn
z5F^%95Vx~@}~;61nqI(=1Tar=jvmOy2W>5!q9ENI9uL6A1aw8yi>rb68X
zNyXQAFC>@)F(in&F_GhxWCKA%s>+Wd*-L_M$5(iDYs};cxCkhHhs6Ef!uU$mYcBhv
zz9F%K@+a5{xrdfI-iM9|dW!#9U+-@4^z_6)NN{=kZl)oH921F3BcqaR;c(VedZ;uqS62dM>m&bhWM
zuyTkGoQ?CrT-*B!{V0p#Nsso|>$m8|tA1KZ4jeyq|&B{AQTZ{cr&#rNNk(47(r^-CMS4r#a9Ar7$-h%Fl
z`U={gMn-X1@BqM`7VX+QYjgk?ovtHf;+J3*`qBE
z0kT8H4trlckdsrL$qtN;-WumNGrO0hC?xFY-NsVA62TOEcz*`Cg0K-hHoH~Pa&VBW
z2=)q|_7Y{GK=))95o?By1Yb
zHHyr~dva^sy-2o``ahdpP-2N35p`afUuMb<&eMOe#>K_S>7cXkv6il8YnxF@lqzFv
ztUy6PNJzK|YBeq%f0~$HgWgZE6~!Y(#qQvDQ2yMeu+{z_3kRb%e3c!?>ePaE4Z9A3
zC8GY`HqtTX&hdSh+8rGsU&h6{32;-E$MeV5t*ORm7B`0Mwbn)h5(CKlO1io@Q5P$j
zG$C(<1CEdRmx>}HA{qw3mIQFE+HlYLy#t-BE;zh48DM%py!~a
zQ%=mix}BX`_!iyF2iOvZ`Uw{M;|7#m_BbVTfVzk)|x`j;1ZT7`UyK
zN-cHd%FewozjTE-a1Amc_g&nD@?^>V4ItGszO+`#t#@6=V&rox^$C+s{6;eH5zLoJ
zKk0qLLBybde;n38M^(A=3IRf%(gqTH=a7I`ufQux{^EM(sSo@X8F0q}j@&qO^6H6e
z04VQuLW1`E0mz4-Xi{!3Y#7A^n+Ff(ipkW~)ztt$L*98GAI(qHu{wjPD;n7b@sM9`
z2d@7vF5{bYnZ#|uG{KOv9<#o23JJi*cwf!4raemCCoFV6&j}1c$WhT4V-eTR2m}Cc
z$ky$|JRLUj)A-U$Pjl7SK@1x!`xA`uJ{dj(h?k{qE&@3S!q!yCTZ&hH4EOlO?2KFvC0x*8GzzA?sz*J!(
zV1OUPS?aR4k+oO(kntNlDys1jf6MmHgt|@T8V>Rp95ncF;+{HaMu>y=F=n=7
za5yJn6QTt5uRr4W-apEM6WbQX3FxlsGrivc+%l*S!jR`KTL7;4ypuWLR&j>Pje-fOYofP(=2Zf_qTJHEHT8uAtC3r3;?m2M+H^`pKk-uTmZ5(
z=s^uI8u^Spc;)4e7DJV;pSp_RyTHY)1xENY;I0`!2P1NngjDXhkZvCdZNF}Ua>*&C
zj2iFp50A1s(8HEL`H-sz#i1eIa{N#n&$4is`4DIpN@pmotTwk!xn;t6R}NaT
zwettHsD02XeR8|1>LCRbPk;&>3QYrq#Rt<0GK8obf^G<)
zr$g%PVog1GnUBFv1I_%!eTJt=Ni^umuT|+n48l24S8OEHDrq8Lvidv>VD-rswa-O3
zpX1fW;;Vif+c6VrZc?Tp#m9WXedhZeHkrtCY4TaGUnjoIICW~(+39KM%ldr#Q$)l+
z1ARf%uo<+tFM({vJyuyxF0OHXv39xSKR4wj2?T*UMhE|`KKeO|em321%I;u&Rm#Kr==`L2Fwb?8pC75C{G9J;
zN0XB@hh+Oz3XSzCjO{7Yiqd4xVL7;*F&+B;D+WEEiNjvP@vd}k>SE*1{oY)ZqOou>
zU-+dnkj6L(La3WZL{qg}Z$Iu=6;p|tUIPG5Xa2OujyFO
zC&LXLYoAmCde67dQZ3PX0O4Nquy!OO-de<*_SP!jQC$3PJ9g;oGnCEK{rUuFX-2zX
zm`{6cDMCKbSbnkSvx8+-*yHJ-Obsa+j3{mW7?JJ6;!17T2kdaKe=|Mh8`hpHt+OghU)x!xV@b%7ySiZI%0D7
z(l6R9xm`00cA|r&R{Zt#aj}-|5>+#4kjG}efQcNq_N=O9
zbe12yw(*p2OizA)q2J^vpruXL6ZYsSN~w!u5tOnFe&x)|nfO7=I6Z8QY`W=0uOWct
z5{O4duCAx$oYt+mhYG-hY{AbnC2NnmBq+<>NAL7sGMia2Q1Z~EpJ-|>D<>yi(f?aW
zN~|me&hX(?US_hDMd8zaiAMrp7$q!6gC+T+235KXoY=5kODQh05(jeRxxS9!;vD*x
z!M}4j&4$8iT%qCo?_1An6mtrx5c!Z?nQrkr85EXta6gAr6Z9DyB;K!#L|JP|nc9CZ
z=nS_ey&-{QgR`eQt;aW&gi{wW?oEu7I(VKrYLktOP2ydfBYW#Lc6w{HI>WXS2xjjb
z5FKhYB}>|M3U2ITP2SsiH{b2_l+cX*)<23r`Krc6Seuxy*(0vh2jprGPF!G9K`?!8
zit1X@2p|T|%lBR^s%Nc3syIVi_iI;26iK6OC*%NKc1x%lnXd`EvRvgORQqE?dxW$4
zmKQaH`d4&5hD@f5{h$d%_lz`mqfq_|m&Nkr^37}I}q
zT9l8u%(apEHO27j{x@G2y1#TwLpXEo;yLIP3^YuOVn4a@nNXHQ6+0kN6i#5r+8?x_gBa$P<44p1$@IFh)
zWdo7-poeUy#Ge;qiR>|rX{G#$0BUkFX}DV2)0r=#*C921f51;e;1u06;J#ps(eYOA
z=tVt!88(#a^p>m#hwIzG8?p-ECcs3?o7Z*32C8;^|3*~vjtvUA;DA-nKDw^dmogJ7tGDoZd!I?Sc$y#&Iwrox($Ti}@KiSqXEAGA9oM%{Abob?yCU1pTWpX(VwIIKCuO_i5Q9vUR$eAvZ;P$
zqu*}O5*&BGwehJM5fL!=f%aqYC};X(NtVtiuh}kV%J0tLpx&HgWbA&>?e|slyn5-jbvGCF%V+*6A;kgZ<6n2LpYARP`yjl~&B0PFIXsZ=UP?Q*
z?=^loJ>yGp$ulf38s3i2oed{@D*zb909uxX$xuvmPGp3=iO@7&Y{A(4`Tg#(il9ON
zU>~jdW8EMt>gP%9I(7Z27bi(ck`txRRZ{jL5t>ClfeGJJ+y6qqbTTlm>ioEx6bGCi
zZ_x2tOZwh<&y^>8&ctId!(ZKw2-(QfC50R*Ps`!oNxUzLDm7z(GwX+y;yJ^
zRABJ^=Rk%|F%iDN>-Kl9lUYKc)~nUDv&dybttL$gaCY`|5sB~hRy*TgjqnZsMi0t$
z(2^5q!k7Si1Lt=x$bDz^3V`0`knWrojs_A$^-P*{^uri-Wknd7m?k)r9`+sLg7k6Q
zTXnR&%xQnlpA;V?v!sELFu<4a2fXcP4;eejGahAi+3tbHjeLU)mMbS0q04R-ry~ZuWi{#eAmh$9zxR<)qLAxTr=@}0
z4CnO#R(080jCom@I{ykfj^3JXdc)ZJs?i;B!(mkP46WNcK3X|m?a{RP(%)aEwXF`dbI6$P@g6B!K?+#hM5ySI
z7@%V^@Zel0+}%+7_1CKPg{|R$o-T`en%4*YJy){&cF3tU*VDy0oYFEM+M55$uD1_tz@BjJ5HIljF;
z08JqD{|%K+&k_=-0Gh%wF)^VO^`c~EUKHM=Ly2N%wH6oU+tXfrSzF$E)Rm`DJ(cj+
z$_dBE$FJ_rBmud1ck)6?{*CIb+>#MYV42K9Q56<)079hcQsLQXMR6-oE8GIp!Dv~K
zU>DH7z46!8%H~Bi7H{3U^?3Ks6jTs$?vw)x{Tt9Jfcwz$$Gx3W+X)1L(CX=fG)~uQ
zC1J4ShK!1LHR<{~Q(8;+@_26M+#P(-h(2FHKsFY*s<4VM5j0uzEPo%wM-fCZ{h_bg
zbrl-IvuB?}jw3uG!glTVy-r5yZXCcXjDMS21SWjLp-WAVZhKq5Y#l&Na)vKU`>OFj
z3wIcx=JDz27oc8v%6WN+nM(&o49YYSq;hM(f_w%WxW+MD7zmmpYqC$9_XPo6u0Qrp
zUkeJp6(q|!J7h260&92(N?3Pyf9E7>KiS(<0H%um9QVn_&U{r+RHPhg?|po@-4Z0~
zyiCc-$vHML@$B8ZcaLWLA?J^%Rk`sPa>kfNq?!8~_y@GMsxW+wyYgez_&%3(#+{St
z=xzk235VyN!{Sich2A{vXP-VTf8jXZZTCiyrlzKkpIEED0koTaT#f=jl(#yBq!c6T
zKz;7-OZm0hbu<-wlKc!Q4_F78av|X0XC14vM@R1gF4Q$c%BEpB@;&PT$OHU+Wxj&Y
zga%6Kh%Q`s2DvQr;C{$~An$A^>H*pV-i5|7wCu)2faGJ=<-k!$038kt(}1|Rkr=)7
z^N0qv4V}S{m7bi|w?Iy0y>fw$Zh`(U(?12^1SqNu>3Mt7G!tF+w}~7^03JGp(x}j!
z3ZSGX*)M*@?(hHc9BT0FKMRedgRQjcsD)g7psg_?2FkoK+k4Qg8@XtOrI@9ZF7qav
z8x>8njlJ(*)5`14uH
zN_Uz-xrA>o8c)N4VD#ne-!mfM`ZLYiMixpa`GpVk3|yi?9M?88WGQ|PR
z9hU9&e{vA<*?a{saEZE^i;X|t{B!y!bVL25vO6SVCF=HjpKvNN{<}N@?N?el
z1sTYTOvp##mmQz1t=9kjrBWRjg>Ieu_fJD*cT12W21;Lc5$KB(W&S(#$t=$mYcmHv
z6%>4dO;RupRpOuDiJ1&Z9~G^dMMtx6aGku5^G#e_T$xQ>2M(WRt^{9J7<`dgY17SPdU
zW5NpkzaE$jA7b^2c*@87BxB!gX_?P_jK&O(Lk@8*iue>w4G4_q$M_j+);@|0RJV1-6HHNFOJa&AI*JfOCx3G?Nl+2j_
z&SIDmdiLc;-N5>@-V(BJK=Wkz!|wV&J1TG-?32Zta7!%(lirnkhd%fD($3%7!Tsn?
zO5{y-?HXdfi;*CJbypI}%ZqCJyK3(rWVt%t!@3>xHV+u&w;qc2_4%^k!
zYZcBu70zSTQ+$?`U4&JPo{z)8ByGfu=0=aK!w9NALN}nH6l&Ci4cmhPy&1XWsC&fH
zutj1t0d=@j{_sWPj~dcTe{q3;Y}$wq$fIi)OP!X;QLZ6?SHFSDg38CDIq@`UQir91
zOXr0ZUjV`fEXe}zV=t&5qX!M*k&zKo0LszYeO=vAyQ$3|e4}HKKtg@Nd3j_AUU@6NxgFfRNSV5+Id<89u<^3zjGek|JysP@fIU9
z5_$de8;9|)rvU825Ix$VM|FOIjvDuB!+u60swX;F8~82ujn!`IPvm|%sY&+w2+V=T=Q>pB#*ln5rj0%L-bsvo4WI4%KO
z0CM#Rq@=Hdn3HC)_zC8nYZhH(UWVhWeT&EBxs
z*lZrr+eE92{ajF!+j8+nbmsi0f-gfMOJ@TeopI@KWB8KhuU{Ey+==@aT*<_I_y~b6
z-DlDHKqXTc&O@pb5|CXvs)T6$Cb-q8BMq)xRJqgka`I@NH^>K={!Bgvp#GK9n4tEK
z0_}9SZe2!*C@6BO8KD9Yx-zSkJ1|2#6d%YlBm-|8bSC_I4&ZSC=7+pO^?O#jfb6mo
zjgng6Y3@Cvr1X&^#Uu!cj8Jk^qUB@PvHl0aQMh{3{emeZ?soR~u@J~k@w5SZaB^x2
z0|A&gb8~NNX%PP1&aSKBA2ROgr|(2apgb0wh1{H=|IEg{zYGvf6w}aq9<}%blGmLA~?Xx$WcA&%G1`Ih^IXb?GEbTq_f@M
zvT`wGckua&_n@!j3U+N5~P
zM{{DYlkIK};?V*jWOC9F;v*tFKTP;0-)GP6W|gAaC{Jl0Lo%t<>#)3>*j`768s&W9
zld{v&(u!4GI*a_*Y}#GW%L$_3BM?&7&5~4#WY`fh5nHUF$*Qe%FM4Do@$cwXV
z^AV~3<%>dVY+{ncsJZ|c;qZs$n6p6bcnkSy*zmw80CmGr8niIBC5o*`X96-JNnU$r
z&^?KI^TGB&E`19G19a7e&8}!DM=;8uo3S;PNBS_nvGM-K%BZf57bFE5;4SDn2T6}F
zKYsj}?Jcz)7SO74Q(h>86e2B%?aaEzM&#z^0!=e}gfhXWo#cz-fRbTzqS-kGjJKWd
z*+`t0bjr%W?kYs0RSNdezQI36X)2&83jD9Cx*0KXR*VOJ-+D?HhtN143O0qJszb8wH-(Ik%6to$6S}2}hP!H`T
zN6WD2D0sf#!B0oUo1%;i3=HJ;GB~|&?;n_O(YY1Gd`6UjwTMOpVm}Gvpi7G$uxTN!
zg#{Mk1**fYU!XP-dkje;^foH1s@5Q2N`_%WjWR3)puVgEw}up);O`I|jLpwy$5aNN
zgEs~@a|j7hiXI5^G2|MgYGm3{hS#RBW}VV_VOAIykypq%E0h6zYg&khvj2uLtSWJ#8I1J|2e
z<{cFk)lcYa0&EkM5WKV2K+{sBFR7^m?Um{wZBzhM1|VJaW-c5
za!XP%+@66a%&hwfhDK4b0|^Y3QXS;m77nh<+YPEhUMlTSQ~-CBNI}Xt36t?OrjFOH
z(RKAgY#_jQUqgng+)2e0fUtX^7I_D}N3~DJ=Rzp?pF-w#F8+^E5Gr&J0wT2#2LQ{(
zvv1IXEG+l#+I@E`h}h~&_p;xWO8y0$VnQEfiRruNy)bal+;F0lA1f%E?K%|GIER9PSvf*|PRAf!F?UB0dzTxXFwigqxVlQU>no_^1NUCHcNptnL~x!Q80X6)#2ADB7vG|??n
zrS>xfB1bz0L*!@)Tb2t5?&fkdpM
zqjUP~S#iifqYN4filtCHXkY|5N&wJ@euGI4xBXHk9&*bMXGqp(m-MLHE{@nV{&!9mI%iv#EcGj<>
z%-#f&yr#l4z>ys}7nYEa`%~asJeYE*f?%Ce7gyR;Zoc?$tVmZ#`QLfcT7J-SuF8~T
zpkhJTrjdlBKQY*?-9GR#F)`UI%}UfL68-Olj{n^i|C4VHWyjaWR5EKJAMrZiUgp#y
zAT4SFf6pblLKKu%PL>W$8tXL3DA?|yx_Ipkf)Khh*K^~4{Xp>kN%RA@c(k@3Uh4D!
zHD)t_0K!CCW^kYDdK3zg0ygVGMd1(B;d>r#FHUhC9B(ZPH)j87r8#u&6yuBbp(U!+
z#}4jAewscAGNse|o+*|b@^az^X~dr(E(NKp^|RmAE*Si_rMt`RFU1&sndPkAWUJv#
z`)QM`Oc$&hxBw#H@X%gRAbKr*x3j99M#;vk;)``(Ma8g(h;q~qofVD!{==^M&1I9S
z1)vcjnJRc<9cQ8r+I9cbxi8Cnll4n--dlfB!a22k+?xL4g>2AS1o83o#UyfgY9q3G
zpFGY<`@n1~gRj?Qy0d2Kc>sbSebLvD+kUwNr5vFjw7QqK))RGAzL=uFAZ3PM2-l<=
ztnVF+2Ny{dsJ;J>e|L27b!Pnv9kb-E@x-4KDW?vp8$q7X+$;hx3dv1p@
z{iz8NW$a`Ml1oaI6@}{y_)FHl3wkA0y;nmzo!$_Yx<*x(WL&eew6Z=|LHe160KLC7
zxIePP8gDm#QO&&y2EkXiE9{P0S^szoA6m{}pMp^lk;6FMY+4_2tm{9poOd4^t~`~D
zU>p5XyKemRmFnQISKW(}KYz+MF9pF+BTn+jQ_lX6j+*2GxANO5H0L!BDzemC_i_ir
zlXp+1kfw#`cFfriO9>-9!iBj7hjnp!p8E_^N88f*lS$D+5&o)`xwOsRTDI<$u&<-D=Cqdi{)+4GwMh$A
z2GMFZ=2$j#?u9epW*xev3?dl(wmu&=_6=>!h99(W)eL)nb3Kk~J?tLA1%IzrL>iuR
zHi+1N@>OV%XK#0v2+us$Zcdp06mIAZvr%7@!|Sg0OF9kcd#jr$VHQS3C%P(YbVm;+
zl9>vP_P0m|&GGyWmd>QuPwXiEnaD_zx$8cIKTyo(I{Rg^lKE1=<;SD;hhN<*1h5ew
z*)+HURawlE1k`WVLv9Jt;}F~rKUm)6p%Pq`ZfT*p
z4g;}|4LjiVd(ZvJUmOifcJ2na(Lr(s6FL$wF}2mrlwuwCLM{ts8VFL_nHpij6u+B?
ztwtK-G1<7q$9^$fQBP1ZhRp&)|aDZ@~dcWj)Q
zSYIRdU#$KqDJOLlTC))EgMRJ-e9mugV=+cI$=llcXs5xhV}Gw?Xy<6WNj3k0^?}!~
z9MxWI7E%t1
z`L^YH7k%Id>_ANP
zam6AP|MQ3QOjL1^6&}7#GOe}kQm^r}qzM0s@aL-=;fL|f-
zJiAl-NCX3MAeH#P`KtfoK6^jqU?Ju8oA@hB^F-y5&ikH2PxhY6zQT6lJMw}r1Ji*%
z!2jE0{`=jVi}Ns4kN!0=$S~}+|DUfuf)7_;sVFWpZW$Q1&KF$xYUlS!&a{1n63P~7
z=zY+y`>$r>-`o7(o63d$ZVW^zFmCVc@;s5ikG~@bQ%`Uc^Z#K*{15j~mZ(hyyX`lu
z$!d!@SQ;H?!WMPhf5YM$(fl7)V&3&oA0A%bX+rOvyCgSs;z2o+7rJOZfNBLUyUE6Q
zrvWoEQ7;d-?d8L~2K6d8N3Zp`QA1!0p??P{&RD?vjlkt5OMN04kkv-$dZ<6e?L&{J~_<&8nSJm+MV$}
zn$ae)eO0HwT)n?M6+dxuq2paDb=TYE?2EWz-Ti6*qcd?6vhNDNX*`=K=4LO4k@+cPBT<2eRf@a?&8;O#}5b=8Jf902dGlE`A(xnFt2{u;d8*
ztlXQ=$=&jt21NpQ7oIQC2+!AAyd)U2yE
zd*bce_{)~d7dXv+r4D)RFIm+)|GY+R{8hAfF}
zICL({>fVC%6BLJO1ThLMeE9UIm8(5f?Rv4f_hgvlG&H4s
z2;&YaqBTr3;6uO#bAF$C_u|EiUyVt33HVd%iuDWLLXp}HDNenw&z)%OJKo)PT`KC;
zs4RwrD}?SfKO|ejCp(jl9L&wlIU&)8_Kl_5MYja9Vg>`1$yTS&kzci?;q@mXDHY}`
z>1ZRP6P5vq71V_%LA}jYDImHh!t@!zgsGQ1m;nwD4dXWhW6%WTam_{N<+7RS@`bz>
zs57-g?|ZXXw;dEO*ZbSOoTAsdy1S>srP-T4sDI*wx$~G})$LDd--IroMzDmftSPun
z{ezb2{bb|
ze-KXTvHGQK`~?LklwPPT_2z0uGmvo_-UocIddO+eD$QzhbF=LDXx|>v2qyDgS-TJs
z>kc?|DM(Hgwy?K!tLkdIB>~zwv-qif#L5HqsFT-bj;;~RG(YHjazRZRfp$HEF>avp2#WB_;WS4w-5ebqb5*Wdw+Pz2QVmxQ@lA-VIyh((<%BBxHqa(b
zG6)qeR=(!}EI%nHp=!rLs}dtXAkmAX`_^)}oCh$9$JWqwxHU;s6hf^wh}5O`6J4ic
z_zyQap+9A-mNx1J
zoR2kC%&;1$d%J=1?=I_J9f~-l6_WU%tN#Er-ee0?h(4QlXaAyCg&c4*(B(DGdRrcq
z!B|7#vt9L0-HoW??(S|Q=${L0a7C}9^`w~)!R5wKuZ@(bFCa-cUAR(VKOJK-Oa
zkAz+8Eo5#>zwHCEG{?Wuad&XY={vEcLxplZp5Iq?|752Z3I1Psxw#D?{ijWWF9?D9
zBV16f&r%9Vvw$xGdtmtZ*QU2*`KpbCGdL3Yziu9aRCJU?{4YnR>U8L9DSYnSIc-W}
zsb5gG!H~y1EM;Y7Wk&A9UX#9fH#RobX?K5QH?|O#t1LxKXXGfB&vJ%7;k%x$uF2PT
z37SL?zKKpkw`4aEwu=H)Jfnl1wKQHq!Z1{3c2KB|%p^Vx_zE+wQ<18_Iyye~hH`hq
zN6|IHRx%WxbTG+;?skFC#~C7pN!T1Y6s4`wf(Wz;a;Q{
zdoNA1qMR_#Gn{kHfZBZ0uX|NUc>y-~yNdZYSCgH1EUSx)d2y*6GeaXgK
zuqFD2oVK>Mtl-jTm3`3W69G)Iojz139PDy5qpXFgX(JY)&}-EGNd3}(I%@|NWoZgx
zK<_tE4?PE8(2=mX`8u|~zJAEDSG#N>ufnN69RTgJ-D&8(hQ0g&#7)`xiJuO$-rjG-Wq=%54Xn;OKgj`mG=^!
zpBC7s-GSa}l`t@3a2DhGC6m2wspnkH?S@0ZbH!aZoa%y`CQkLjCJ6O?p4Yj1_b!;(
z(K_NV2ADn;HmqaNH+Qh*W)O_>&Ckh^4u@i;5zf_NG1&TCk86DxnqUQA=N~x-TWGQ7
z_(&=oj>{E01ww&dIE7TpcgvwD5L{y;<27@1N-X2UiCZn!tMH$_
z-v7bJ`9E`+|Ia>*I%!G~aF%aCAzaS4Srq_|-_RVb`b&l5vzO9(ANG0=*AW8;VGkWw
zsc?f3e#X(mW#@`pbm5b)So0czFCNYS^+D1yGBTu+-{rjbIuCli4^_h_ffmyaLkjPt
z_C8n}@>u^N6%MG>q|MQ^P5CW4UaJA6@^nhq$*|p{?V6ME*4>BNc2FU{Dh0~`y(!qg
zVCknskJm*b7@&`;6*|GPuDXY39-H8a87W=6co6344`yi^&JCHul!)2wPGRmDLx6tm
ze#t;)s{BoKY%IC!91hf0%Qs8iz56WQ0ZULsNHH5d^Zl$H?)~Hj|XdsxKj|&D!d0`RgQs+El2)Kq4oIZ^DoN
zGRFFJy;dX>FoWT8N7r#b(n8p4LVL3*{eU6Xhfu}Yc<&D`3DiTO04E622p#QAxS}S+
zyekuQny!F=r5sGPzrjGUl_q=T>Q{y)pfPpk>(=m2RIh%;@9gM!-6<=`rmF3z9M|9m
z>frW}ewzuP4{3yC=Fqs>2rIa}AO;lfzEZ^p8ITr$P|-%^@lU>X*C
z1|S@?`@_a7;;M9%A^e?8z`+zOeDs+MjOYYY2}H%e=>_$vm>ZsR(%^o~jn;U3?Y8JT
z?Oe7ioI!^R7*f+&8Hvs4daeYUM0V@R;}FQRpf0o|jpqh6m8z_OZrMJ@qE1>{f-w}-
zqV{ezZz-O%LN&zVAs0Ue%WVu(nhmh>(=^9xG@4Z-U0q#yhtNNM*8_qB%b!PJf?B}c
zjRrNJ$@Dnu2XF}H92Wo2efIm|8_UCj^b$dhP-*(fWA_gwY>eD3Zx|p&UEL%GS19|p
zhx4wuOlu4D?i0YU#zP_3(w@-DJ+Rwl;2N)k5iNG{gj#2Hh!u_|M33mBwVl+VLZ{1I
z*EKU9oKNty1W^+m*bDU&F=!~UJX97V>g|{$gMqx)=MaJ>A2>yR?nAno2!D
z7p63OS!y?^F&()rgBcqFnil_DYJ}Ynp5D*uVy`2XQ_deEPPySTvY+6-hL2<{dq%2%
zS7&PVzBRVPRC%>PjeZB}Mtdx1jyC_4q)C9fAY;hLqhSpibU|Wc8gAhU_|`fDa?~sq|LbTd$8$1u
zT?iC0T*2Swbp11VuwQe$&py~BWdx@IC&
zfoHI8bG&7AZH&9RG#=jZH4Z5FL?X0{{)-4SqdY-iIpTUO^}>a>&fk$CC~k>AL=Fvk&{b;nLkjQ
z1n1M|(trfV9(C~cO&(n*iKrazKWfoE3WrLy61NqmL>D?qDo3Rdf%!}ZL24uS3|NRv
z{kHxk;Oe+<@K;norg85uh?2kX2k(zicBtzrs9X3W&ySvv;ZWvZRF|3KOwW{H0M9oE
zK4$fw$oxtR6Ajt&dT1dXzPNJ;p{yobag)@x{G1o!Zfw&|wWU**&w)fHBjOcs)UiW;
zRpunjvMM%X7ZL)$k4=XLoF5(cr6Q92T8aN}-hBNi4G_I-N(SEbMpjl`<=gL(vd
zQod1?g=$zCbaGIupUeIRYNBKcClq|lm9Jg2`~8xMQA)>cE{%6kXtPUEDtsbDFb{nM
zGKfmIhn;o9D;E-KoWmoU-S_4)KDn&@_BdS71vhfIqBuGt51PV|ti+2-$d>y**v9JP
za(7?;=*(gpjFEZq6zzZ&M3++G;O8yc`GrnLX2h-}^9q8$&js7|01}!H3)EV{58;B|
z>K*_}SpCc^>l_|BW78v~Waq-qg&=q)QsTFjYFu^v(ZC1w4#Cd%CTp)#H4u8v-laP7
zSh=dZ_bVFcH+BoTCDTCLy>V_AHnKemvRv0L=Z2mcEW&s_52;xUz#;30LoD2IXLVe?
z*izlPa;+XUOuJu6t6u}&FayqvV%&bSlu>tY?+mW!&TTjzHCf`TDfs8ef7oxJp)Lwb
z1X|hs5_XUf^$B5ZDEpR}HOYhX?)*bcnF=e=xR7$HsC2P!FaUqT3`*D?i9%uNpr8zD
z&83~Q8RZh=p$m6K-4PmT!cqDO_#;{lKkudW#z}srv}?Q~HA3BA2nfcn;rhM3J*bys
zk>b?<9#FOaad_x9F4Y?}N-Bd{`V(y9ky2L-uG$nVSUWfpAa>X2ahZD08CxSxK*q^{
zPM>wfQt_{1xX>>aHpue+m;t$Z67(5=#Pf4OY>s*`729DEZ6y%74cWD@NrmS_0G?ai
zBDLK?c8Cb1YrzSiX;Z}m$7SEtzDyi18_j-SLo<=9W9B4JdQ3brl?p4Bhnt(hOt{j;
zL~xYY5|ECy6|Qz6F3@Fn>&erO!@$D%%>S^stg{M2qpsfGjJ!N{SYM$cd!~W>WU+#4
zaw5BiS?eQ0liuG0h%15%G(KpR6?RkgFrd+|4hW;c&fgN32umC7Poh}}<
zZkcR~us_W5lLYM3Jw4MNX9iBRf<0)vL)K3!Rs30N8JptPL?S>nnc_Il1>
z$hmoVrrbyOb)c=o4-`#G<98d8k}cOU*}yWbu}c&b931{NF`enEnU>EX2+pC_MITe}
zJOg8E7K@E$@Vf*hlelRNoLj1T0A4|3T=0$m!1(e@Qo9j^QY{=|HE%I*mvy#=Pb_tkogDFRBKXng
zt)TEmoveOi@ZF@Gw7Q&lL~AR|mOY?y_>)vPsgBDPsRe#AS^lXv=oCTREEkSGrqqZI
zUa1Cbr06KT!!LwhuTw$29x~D;rMyk+&`rUMVrQ$m2JJf*>^~Y(s
zyT2r~;SS0PR>gCm1UEM`eI`Zlf$YEv_$gB12TP+zRv-)V>vzpGF%1Qu_4TT)HszE7
zY1yrZ>!f|SG#)qMaM8~zn~vp`3|u_JpB3LWkNeRgQpnk~rmeglc@xKqvs4V^`^afI
z)5L4*2`GeZ*nr3Co?W(H1v
zXk1=C&0{m@YStGL?!T1-E*NS;7;;rEnHK|KLb9~|Jl;VI5YC)qC-zsoHN_c|sS{2|
zn9zo(PYVthBPwP(rpQk9zsIY8NX`ZryP;ML@d}8wPas&pKDlg0Dpgpi!Dd|r<1QCo
z6?gYNY;as^m&YK~5Q(DMP(jfQCvSJQ_Gq;y7r6f*l$q(EYNxAqN)ODjl+#1ZDya3~
zo!K$-dZPz6z+K2ejatAMMGSw2dc8s2?LLE0tD-7b*Exk0iOA`nv)A~|YQP?^*bTzQ
zvjdPL1F#72>e_Uwz^g#d7SY2_(W&?T)Xfl=q6kREqVD6VlNBOnkzl*r;RVYB;~F2m
z&+Kb}ATt011CSA}AUmfJ1)GN+4M9=g{(_uPfl_Lp;*W&YX?{y59;R=oPYNKB2^=+2
z;ZWSY*u7s(dX|hcmHYD%>aC#|%CF%xu)9ML_v``;8^usI_7s0>zH0LQVSOk~5>QoU
z!X&BDXi9qhF*i5&Bur%E|2I&7S|!ua@yomkllNYa5z)QAhpXt4oppVqEwE$udG7m~
z}?0t?SG
z<@s}rL9HAFQr!EmvJsUT`|s_oehzBf0*}%vx*l8pblvWESy!Kd
z#{Pkm9^1p;E34n_pR?sWuq8JOm~k{bKkdH%S8x8$GwEeF%Z~L(E?s&Hm;yum(!VlS
zM5oWQ-hQtt8#t1@@wOT8E~@R7?N$@P^~;w2TUS4yu-?CK^~q-7f|wt`^*h?Y6?Nx<
zW4qIUH9;D1NbKhmb^DqAz$uERhL-8o>X8u{yI12dn;e7o9jzxLke
z29DkC2TjRT0=o>K4>0pTIVv812H4gGB}-5b?dR(KzgB|=Dysk5eY#)>O2%ntXHBhs
zw^JQ7QXIA>VxnU++tU_dzZ1Y&obBOrKcy92`g_9jIB?YN?z!%b%O_tqpFH{0tDZWB
z+|^%pPJXki-{bm3VEw^$v?xXs)MJ0Ktw$6*)<=~|Q_@C&&}Lj=n!oy7x^mSK(BX8-co$UqOgUt~WB
z1Onf@aqTV$#CaJ6;sX7}1$?b-fy83>{;?%Y
zFS~$1$3Qo)T`>*Im>&zz@OHDBSSB@FSyr$)y?TCmDD*?wzq0=x>n-Eie?%`>^x6Uc
z;3Gy?xLx}G7CkCz?0^4|*cBHO+XGkj4V!)bH|N+t(g%cEvktKH++5rZK+QG0T5Q3O
znbo2x(U`4oWGQIxjuzP*g~FN80Dk}P^?xPse@FsS|E8N87BSy%UxhN=887hVHW{@T
zwaN$+`ZR?DFJo$v?p8)D8=yu+L%#?mH1^8;D9kj18PdN}lJFL&Q03hn2YB475JQnT
z2bFI1;*yHJ&dMml?~IQ-Wa78o)^p?S-g?yq(p&KmG%q^A9EUO>e$TkxfTUVrOc}RZ
zLl@6NS{`EP2guT26+s~E@v(BXvbL#F3I&o8YDyPQ&j^Z!Qkpol|H-ts!23yjAN9*}
zn=sinwdn{WfqSji28%*M?5agekCtsFPX+}Z#?(sK*(nL(T!j`y4E(6HVg@9m^2VTl
zg8p~Q$laMUzt=JKwb0COuz}ufm7waG)fSH9mpbOr$||(wJTmj$B$uOu4z<}qY(YD+
z%CB^Ot-(_>HRS7V>u7n3nEPqeZijz0`{*`
z-r#6TlTfVM9CZ-08!O6n`>4y)cfB6Tz?1c$%qX3&Q4X!4^UWgG55)_78$Z;?1%g2!
zS;4cl(eiRx!6T$4URDgHL6AI;X8Nv;X7cMiRWBcg7F*qZpXsmiFfBJ!;S;>F9M;85
z!?zDsyAC_ZJJO0jl7GlW`(bKwA@oZ=03TIeVZ8+{+FslDNhj=DM_3oKy{9&_6(X40
z2J;SYy+9yD>el^MiHeSA3ypK`B#5#q`9mH#TZ_~e;*v+TuAKi;rL6b~UR(}CFQxee
z+j%836gk$%&qo;$0%3mI?xr-lh;_N|tDifrp<5af+r#5Rz$s=DepCBq1$E0uBk!?J
z*l}R*5)0Bnpvb9BWO|~25}!Y2MksIE!7p&UQLn2Jcdle?WWM1HBbq*pOy-B%F)r)y
zzPb**rz89^(p08YOMZP+4&!QLH~7{ivIo&t-kqJ~l{^=@vq=#^N%$SnTQw4z6CvE&
zvTS{;N7VHDyJRwvaul3&O!M7jV-51+F6pamZhtH!I!d(m#vov2^2_O9%y*LWJ=T=&
z4sP^Elb|jR9u=Lt(CG?@63qkc^_dd-H*%U2tbEC98TLNHROfbDK-YSjek34*IYkbk
zfeM&`@BP%4T6n1w-g%29>y($2QtONljD*Drq4>dqmck1m3l24d-Xnmr?f?eyI(Z=|@T(lm
zk5s(PME)SUm}CK#P-foo2v1T9-q3s2rrxn2Vh
z=qN??3Mrtfy}TX`=%%75JE_{1MC?!s4u{WtVp>&$G(`uO#)><(-y;Jq4Z0#&?G%nY
za+YksH~>i|;jGklA@V+XL~3cndp1141N!jsDxl3hHnIpyu~d1Y#?3kco$96(&eY8#
zvs?)u7CsKBtwHst&gxEU1an>L=`vLQwD}ych0Qemk=cg#<$Qo7Hj?Q52MT7(MFPZpWTSl2WvrU|Vl*
zp$ww3A(~mEGs?$l5b3jSTy{ak{*_|+IA3y2kljFCRMF`5Y9)E9SjW2bfLBfGvl1_n
zuB9}#NWWpNvnlk*9X&KvDOdt?e?DM&=#tk?$)y@UfPsg3(`QB685wK2{VU)2nTu8c
zY<4a(R`s(S(z|DgXV+zZdc_)1d>{M7W%{Rc2^h!VUEQRvCg|Fzo$KKVexHp7{^?m{
zdKw45*v)9XNu&69yM#EgR;qN^Jd1F+lxmbby=SI!FoTP$8|#mJv^>UsIBT#q+!!>X
z3Ud1>5T^C@aGCPu@E0Xc#Sj*+ayWA_k4#e8`+yAudLQCVA3vP&P{4^AR~tgpuZ^8g(Vx0lG~>0Ly(R-x?Fp
z)cYwsj+q8LpFF9^k=*(QZa|!u>?XX*fu%2OdZ7n&>5HYlX3cJEqY1wL<8N$R
ztF2iZ(YDmbqs}4?o7u_{i?K>7p~gQMTSpLBpq8qKjd{t={53I8`pnEoHp
zGT}NCh?b1;tTSxZaiL(6J;R0m3i*TNg`#;=>!ktg`{HH$`(sgEA}!hu!+~}j|NHU+
z?Dy>j%3*vf88-^O2t6jhzKNtp
zEbdVzE7%gj8%j@8BQ0B@&E7u=XDdYYYJ`7-rdpVCW3wMj|;ci
z5AEG8tq$hw-LajCAkMu%%#-&??%m5O{*ZvK*>hv>*j8@0H}kV6e^N)|ddhb%n2|=k
zwHy*eq_d4+K3vn%PyEECX-146_FQt@XXBF-3R}ujV!DSGbi1hL8>vq9WK)R@r|_h8
zGdI(-J>~qChshRhX52HD9r`GU@5*SkURSKCa=J6$YVfZ6)({eobEy^jw&t;p#NjiZ?+}RpL430{ZEbSUn
zVzBJ$4GnHoT1vRp1=bkeEyRl8gBC=U&R1kyuf#OmqT?wQn(;1#l5c&18*lc&v94J4
zmsvE%+9Fgdzmd2n~c`__HFlCtNtgN!k
z1kk?LcE!1zvv^dxDaouER>fTGk8Z#56Sdgy;rDdpR>Sd`s1)U@6%EYxiu+bBV5N3w
zH;c38+SS4zF3SA^x}}C&e6rzUpL3*mL6({|YrOt?)!Sc)c3ifFS2g)}PRWQ!8>Z?=
z-PZqQ3PLz_y)KAB_%2wttI}1XGw=`lt4;kYukh6Z0rOw*+4>nBpZg=le(v6%Q>G+3
zXFHzKL@7lND&P4h*ckc>nM$IWjfDpHl1wr1p_6w0zYMG_>|*JngJ#S2BZ^jDhwepG
zbj>z^rPhOE2VeXW(=#zU7)~i3Qy1YwpFWC*ThTKp_26PnzhPMdIRJbU7lht0lPI{D
zX`FdM?-$GbA@9nk<7&efWlRk-eN^nso8fDY>8CCa-ySSrLcMps;48_dgG>tAnTWB`
zj4*)qd@RJbqTm)|Eo$Z4ra;nUD8i-G;*X>+pnZ)sa~eXS=@e@)#u8Q$VMq_flPqYS
zA(;Dsj<6?0aH-9~5VD}urZ^6XAG7OkeENhsgy4?!K~7Nx#+no-`YSE$<|Rx*GDr5-K>$B?{2{oH@7%>cIa
z;s)a5_c{Z50v?*LvR;6^ba~MP7OD;*PZdz$X4(x8g8)ttZL8ZzF2^0f30{|@358;V
zORO{TAHLv1m8*K2ZnZ|zJ;BAY7=@7Tha%QbeFu&45>Wq@RbG68G9RkRoNSC&L`Rxq
zDj!Dd>2Uq!K1nGgslebUG1>|miwsc4Sc?_(N-SWm&>xpO!^;|IO4LXLdZsgx)tJjk
z2|@`x!-t2{>nZy9laO{Fh6J&Q7oaoL0#gtBO!v7g92S2lrM9jI<7dmj4z25<^{Tdp
zvd9)21zH+4G*0l;Lwlv`FxLBs(V_Ja*ZiHUbQ2TtJqq)qZDJbPJnE+|@I}%d3lbCN
z`ULr4Z*%c8X;fvt;3!EwGZ}GWv>!dlB!e4xzU<|x%T9h`fLgtGDkxBstR1Q#(eU;6
z3~tjw2r>FjWA=4%;IY@uq0f>n{60_WufBfoHv6|8`^)RqrB3WQ4nD8>X1l<47zg6>
z*+zo+r{Jq}7=9JK@vLnv6fa{&BJ_O>RQFX3=)IjDt-ArAn@D~mknx6@|E$=-s2SSX
z01!vCQXl0_FF;=>6Wi-kEJ{U*<0M)BS=SPK
z*woNE%VX1jAF!ej&P%V0d%@$-h0DN3f+FZK$mAEXEB_#ezm#gY40k-$e6ODotpg1i
zfXb8}KfWD{mrxwL+{W^~x6^DwsGOmlslg3>A8Iu4X3>YXJ@5$tC|}RcexzvPS5e#+
z79*~c9RPx~fLkf=QNeaJ6s
zNUQO9`PN5D1^{i6v0brR$#EXW5alpfqDK2`6f<)V>K7V->Ue&jCZN{_rHnhBcKQrk
z=ZURJ6$_Rk{^M`+6Q;_b$Ib9%E3_Wz9px%
za>^WD8q)BkG`#Ql_mRO5f(P+^D}m}-^5w8r>G)>)r}bB8c#-&}>zW;=nEt+9=8(t3
zz1(WZ>tK%5n?{T5(eGP0g{oaqzkn^O{@`?!b*TGmQ}><@NCO%UjSK2seA3emuk2||
zaBz7Db4XXhzF0k5<5$sEo>Z*Qs%U6)XT;$*EC#)sU8rERn?Xhpjgl~Ma4!y79t4(1
zBb!NNeXlb##~mSR)o-sKZC@S$ETHIO*7v4RGq`LG>>d=OAKy&*w4O4;e0wcPTDKI_
zR<4{j1e9%2tl4^DvurPbwjMfP;m(RemUjzlb}z7$EdhvBz>T+;<1&Y`-e1^IC^6Lx
z_TGsD%QqQPh0oMTRDTK3GxRo0a?A`K{av%y<@cde(lP$?+xw`VZ_WY%(ssh1bhPKcg_HyTyI!6JY#_y`cDdG
z@^P0gyBW9NPg#97?!}FQXAael?ORklTciC`_nNiD3VN3yvBUMmDPUE{4}04$seTxA
zMi7y7vmtZy*jVNB>D2@v1RkxNR6L6P6Bp(
zr?;ggDJbOYv*@os>fYop<~+60_x4j#B0Cs(lLFJ}qb~P$#B4-&+8-|r)L0Gv*k|HU
ze39sSbZ^J8ul7mC{jecMZ>;)B*kGErzw&+GT>7-G3CO;MVlTLJ#^zN?c-NEUTk;Ml~2R_`aPf!ggFpz
zcaOhqpbV{hjWoUcp&hz(?V6hsqb^N3yMQc%x?QWnd{8n3W}Y!2m|5JRw0JcQwdn}x1)HGMA(#F8@#FEKJroqz7GoP(MMUBcK8PLdf;u&u4|S!Rpb;mVIt;+*5|;*
zSCu2-;-teJ{4i6SP`E=-0R46O0s~J)3D&BRA?TDl^Xl@IANM@X?LBwCqK##`DTNE!rM@N%A1I^0
z1)_LIDOeKT-{%uGVxA~$?q*8!JQ7sZzs^$s6kh6aBiXkj1}T&Q|N6YU_;|q1SACr2
z#x6zMuTl%xD?&4mQ!;L59vPsZt
z{8MZEFI2Aog@jo1;9gh&fru5Q4Ia?0{_P#qh6VS!T*39<&&H7r@}||#tY_OcH>d$!
z&`4CI1-VDH)Rb7=H;YtuZKS!qC~PGWSw+E%@68D7}|bMe&MN{L1OZ_p{cv
zuyD4Yz5ERu+fQX(DdL@*z$Ao{`vUv*Gcd9844WvwgHIq?e0(+J7
z#iK;H2YnOiyF_wee8`|U+&Y*e+w5hooMvp50<<0MwDMMf*Ac@<4G~!tJwb-qF2@83
z?VKyvS5l*Z{yo7gR50aHRRJk
zRW|3Y+BMpC>pAGroNc9AxigALt9XkulPILLH%jpUE4{`5d3tuNpta%Wmf{FU9i3v{
zv+*`vtFRxkZPf}u8meAm(d?Y!vKvkR_voiRpC-z4ambOBi5@hZZ(MZWqHG~6qyAK1
zO$9wcp`nx~JbkfGGdqs_sn-%lXO{g?i{{NR{&FeB-=9X)MyMbm{Qs7|#(zP_f4?>I
z-z70LYKHDGgWK5|!CJPbD7pClpaR-!N+Vj>T%xqa7M24HmPq}pkgZpgL?5jdDF1Tn
z$J7qUVWBTUD7~JX44Awm;4Bf-fjbl*@XfvefuovQwqw=X-A^fvk#rR0pT`X4qngom
z+a$cRvdTt*l3~2>%;*BwUtKqNjm*bF%`8$sOm)Vp`vWRk|Mm<8cfS$cQrQ62(W!6-
zilXcigVOP_!-8+smtpvHNMd$r;o^|Lb_3j$?14XtPVfn2CMYV54^sm0l$HKvTA`N0
z!#bx)54O%1lk=4AMimwf6^WBf=EbyxWK+QMlFO_31oP~SD^|dIeD)*HqjtmS(s&Eq
z9U1hvDNx6n*wsdO(qGzrgH}?m=h3rEqf69e*LMd+4rXI2H++
zEb+9120g|*JB5$wUBH$wBY}*ABeS6^kUu!5BcU^GVX8lNnG|d#Mq2WNPUiBDzO#s@
zgkv+PF)pFzt&!7DRSC;)jm2ye_uIY4D$yoS#
zyT7V2Aq{QUAv${NFDk7gkQ<#B$hHZQpLH6;sT(!|Bj4*BM8twT8mX$A1Y=d2Z;MV@
zF#{Z8r9-`|6q-q3NjQG-VA~%{w03(KX~BY~xM((RuX-M#a)J;iyMj9-Z}d_n>dS
zIZ4499!-_DcACD4_-J2m(3tIq%T5E$H#5LvOr{CcUZ?b*THk;2@J<+JFG
zcun|Sx;Ba?wg5M!u>s`+#(Sl$+scYIhC*Wh?m
z<9^ld4IMPOCquJ_>9Zikww*b8hxO{uSpa9M4J>w%aI%8{_lc)tKVITF2^+c>)fbod)#Bkn1C7M*USkb!TwaIS}q5L=rhD)^mt;2o@
z;Zj|itNt}q>6AUwr?oo+Qttu{gm!;odc}9vd+3DbWP7fD0+*F%7e+TsaxG2aTF*);^eJ0z_O=frYrV#F(rm4NV*#%G@Z3
zhZM7FpL%`yTX&CDIv8&w;@a9&w>^y{xTOylT<>y2rznp0*%>vvnF`5fPKj81W+~Uu
ziYSXFS#a;xw-+SDeM%WVYSAVkR@A9CY*gQ&h_5cA@A9VU`BFfAXcyuDJwkcla!HG4
zDCNBhb2V>TF~n%Fg%GJWigB`hETDAidVkcE)HUWfNuf+KzMB>I&riQ(oYBYl}n2qfZWRPm(V
z2b{uMj^*up(O#`p4FhWRbR@fs=PF_RXLH)poUHsbp=!n&T={kJ6Wn{2pS3&2#i{o?
z4#Lb5Wu>qDL+H3l?3C9fYkS>eX+jd^Qp_?LzG5(M_u0w4z(!a-=eP#-xp}g3M
zmr&^b&fF>%7=zlCdAFaXt9d+`8jRlDndhgd$r_UktG3?W#`(e|pLF=-#ly90m=}mD
z0_Mn{vJeDU-f$?LILDneiW+{Z@%xec
zWHS<8)~Xd#?EAG{@b!lmi$3@{yYjYS>$tfuJaK323Z0&|lDuxT6lq4o)^@KKV^TtG
zgr(ANTN^4E47AQ7^QLz~ElH6b1X5jFfCJiI+Zuxt>Uc&Rlr;|pYfH8SMdp6+d=BDt
zw6Yt2E*h?{Q=3z((0!(PW|Yw37vZE6*B`04d!>=!GW(5!F_-aUwA1)k`9;mUWfV^-
zB>3L&WCqg{%gNcq4@oC9-!%l#b$m3~S{WkkLSv*Qaf}6B_@@WSewtjHIRqymPkqUC
zEz!apzZ4kUx-mU6)uD@%uz+30TS9ROs=K4DR^zuYX%R4#
z<>2dnol%dJI3Z5>Fy_?J_}Sr|)4^DIbZHHz~7^L^SxJgojVAauemnpj6vBZ
zPJef8Q_YIp+w=P9N))&99g6bY>ySZ^t2*?<`ON`>n>`7o{PCo2R~NdLR#q~YP)ur`
z)Qf#4IxWBxF>m4N;GCNGdkBBq0LfKe0y+p|ePFgcPLa@~;(TT)T5}P2!*~Mxozwhi=H^wpO&;A%aqacc=P8lI95am4
z^?Ctu8`gB@BQErnpDpBxC*oSxSp-?t{%4TrV=AbIpw=?!9f&I&J|Z+-1m0SSmyQRT
z?kCpLz|uv2%BXybCmv_Y@~UDyq4b!1Vtwmh;XR5@Ihk>B35f9^i?tYv0r*RMqp8H`
z#Onm}(Bg}uZ!)UQ(`}|5FS;MG+3?AmZd6iT1P&(vpDQXC`)XOUXg~qc6*w{|n~UcV
zIaAOGOcGjIp%U&#Vi{)OFF}HKK9_&;>gepISk)PIpWX*d#oO=@k;E4=r9eB}j%7Vo
z6ahG)Hza~Aac2jOLD~1M$@gdjEtU<}LlTiwFDcb{X&?^$Knitkc(^~>{m{RyCt%^<
zb@dnFAP3(gK|yH&%F2NSJfIG{k-j#@Vf7-fo+Mp?Wa3TmO&VH}uYRc;S?-}du*B-@
z2lH$b%?y2yq)m>2ZyG1rKfA>Bb804)byn$=cJ`pGXlob5Iy{T?{Ixb_+eqi*ZVA2;
zEr`w@iE|WA{gwWg)w7zOIm?vT1JWn>W~y3i)$1fIgy%SYN3-q%mDbCn-!O8&lI97=
zspj`^mvnO0T}C(Gy*j3QJ^qx<)I||=_N8Cr1^==xAPPhG`tuCJ(|ciVtwl8DA}zVL
zW#uE%xHMzN1t9G0X-KIy^WswFS`%{L>;-hBS@!t%p(M06L_Og*p|UW0TgGL&7(N{D
zU{UJ#`meb+l=FCfk;J?WvCLIvJWXQ#hHwVZG_Nd;hAp&!<(n4>!{Ew}y}BxrxAPrQ95X(0}uUGO`40yQ_;
z51D_^L3J!vJhiA!{y9dmJi7CHHiZcPHCXw78EO7^^Y;HgkoeD;p3S-$V3?}ba0fb*
zg0<(WF8EWrje1l?b$ntbp)D-j?##mtp)^X9YDabOpYNNh)!yemBBwc{-~|T7TE?2S
zxp;DdX>G~4Ri-&?p-i`7;_0tCx@$60Br)5~EZ+iGkYzRYHbMv5OmT`lJo@I>92zmb
z1e^wOM%`{-cd*usu3|D`<#Sw){eIcW$F^_7duenyZ`zLEMC$f$Y$vyl3}vMNp97iB
ziVaA@?af4{-Y!J$r7rfSEL1h)tD+no88nDpQ!+2I!r!(`T^x*
z|5QvKEOdOLjvAj_niasfO`Fw`_&GJ#dl}bGs2xBo&AO)eMfMB1j1@*OfUfL+*0Cx>
z(|OY==%ku}@tE?UQ0fb!22&qDhN{ICFkk&FxxhwviOqMyWYJbX+Lp=b;SXF)x9_XjqC%
zhB?fe>!&vSKLJ{tadCitgE4z+U^Q+a#D@(EOGaOz(}8wR&FD=cq*K|pFC)U`tT1yovZtg%l6Ybsju^g`b(L7%JDO4-Ja_Jj;2jw0PXY&L)O%nC6H;=$a@MVYZx0>Bqkd
zI?qDlgHTB`rdmabt7r*yZ>q_bo&~PdS0jJL>6NXuW@W^JDAiwpXCQq;^HglizFAKd
zj9NhHL&WKTE35j*T@QMWYO(-&CLXU&HeDA)x#9NY&U&{sHZhjF9s5%!I20|zdFwyU
z{q$Y+P!v_P9xrWhm*I%v48c>(iZKo|F2%dqCF4ru2FFxQOoP=b%&_DY<0~aRsE9jx
zYzh?{8aAHbrd+klr4&+25mt|aS2o1{)3bNNhM!{(@iUZMJgJ1wJL9sjHiK-)*-~Ht7xId?+f@5OaLT|O!*=85p
zo5NiETK80FDQ=DUcyA|lZ`fR#{?8ib0RWzGe(3x?QaL
zG2jb?OCGO=RB|3_$0D?JkwBpJI}|a2DfpgOEh_@Lt^pb5%_R-XFFQz8lbTU;qbK%U
zgk@j@w)J~hAaI%n`?7;px~PEJ>-K??v-e5PKXXQ_n_GwxH=6UNTh4XW6>Tp`J^cBW
z;=vqZZE1rQoi*G@Q>jO-Bur)N)Aq6FCiQV%i{PHSVNxiRws!G}qt4$iQ76v7d2?d_
ziGNRs?dvjZP?$S#)h}1)#*M2Zi@VIttf}V6Ah(&`-tOLHntEyYm>hXLGNhtXeziNO
zch$pDdE(?D0n5~CHU}E(NE7e8FI96rCB%;OB
zQ-58rrm;5zvN@AE#6jkuUiMzym|`2_=Uy~(Xs?JT-;&tG^$FEO^Cij8QmbYC|6bx+
z5?NC4XD_=`2k*bLqclOqUYl4KDUm-gl-u6&n`9~-!jBLNb+i;`>(*b$77!IAY|wi7
ztp;rQqJ&=~9*ntx67DvA-v&)wojB%rBn@2&el1A2Ff3Q4e$?eS$$BEfOL#uzH!&;B
z6v#c`(kA^{FU&A@T6gT5uvgO~L}{+7U8v4s0y%%tL7elHA*Z=+P9CkXhxP;?7#RDAEzGznAH=t~nP-T8-(
z?CyfzPP9*Gon#y5c73~;y?^u|VUSy#t42CZ>^Dd%qg&bfI^XBz4Dd}P
zIgya63-=JznZ?-VL+
z4?oNn`=%^?P0d~GAv)*8joZ^zrH6*@bk&6OTV5(k5a`;J@4oh7jED$|sYD3$YvewR
zVLjJYAo0Bn-_`Zpfy{0c^mFxvqaKquVwES=o>hpJDVGVR`QGDOQrrGY6`4@mtsVTy
zM^Q&0sES-K%Gu@l1vGY6iovq#Hj^BxxZ?`92L+2)yA0LD2Hm-_5XUwsFsqU84yks_
zPBzl@Pz|tT{WU=>xIAzk+wqZ^V$?UII#G+QRJ0{-$F9*L<;jl?9P-Ec=3S3+?s6U0
z>qXC+IZ+CawW;&YP|n4G)CG1*Fqo~y6AuVeBf
zA1zo($_hSI%9(FzHAZxFtJ#Q#y?*=I?lectDq;bld2|08vjJV0$?HwU(O)6}S;WZr
zL0)=nNbUEvkJtJUe`Ppm@Xh6s>jft^45a7Y;qUS7H}`vre57om#9Q>$Xk+d9n)SBg
zX(?jRA|!EG{L0<=a|>kbJw@ArBJCqFGkyBp+7g^fY{Y3RG4Ncz53w}u1)^_~&&e?#$d%Hr1f?V+Je*h+ryO(@E(rElJj!~njstx*FNA*#t6pH-dvR@oj7M5>{z@0)$_2t
zSoY~u*PMSU6lDa6rR;u4y7kP8*CXo(?>tsx(oKlzue{s|r^JH!e~5h@Sq!c?;eXk4
z=d`1CCrk4+m-ma|(7)}{2Nh(}iNDsQ`~da~c)G1ZSW3{4s@CpS1|#Qa^%l=JR1K_MSqU
zFT7aJ!i9G+J&@sZzk`k%u&?4H$#Wld=Z@itsq2>zRjvaO_n$5Cb$<6bS(rS|7WMK}
zdIcD)qtB91ZoCS$4|scmpvT!jQ53aoVIyCnE+BJ0IvT6D<+rJ5SHhxnBJTh4CD0&{
zf9N8z4wQ1CCuE{i
zZN~}b06EXTW@384{fr2cA#iA(x_Hkz&sb@rG$#Kpqn>+HYrDCG-W7+J@7PWKet7I`
zzpBYvl3m^Ju%j5W7YX^gyp8iNAhf5e5+nj0yv<{ajtg;SfqJh5HOA}37#Q^@Q4y;j
z*DHcG-ODgA&g@|^BNU%L+tKsOq?jV_QyF7;k
zIwbY9)?u(O<@lu9K!5P5ST^+g?aIHm6Q>-okp&1l<6$T2Al~1b+h4~s5+s|8ociSq
zi*5q(ePgg}RHYIQpIB905Ekf44_d6unv!)qv2<}sPDD#fYBcoJ66BC=%qev3t4Ghd
za<M->?KOpSmN6a+xyuP*E`Kb{(?b0(BulQNqNtNG{{|KZeKliem
z+K|ez%K73>PJcb53#5##^L-GARAJ7xc$KZE9-CrxAkeW+I_Al~o;zZd=lnIFW#4r=
z{_;^;FDgoG2%?!kCCnv=Fqz$L#BjI054Sv9$?$vzi_)lU4t&<}E5oo7Tw9+osJz21
zbi9zyzDEa3z{2#YFBGq4v_jSP|M=ud}VBZze$6q=*dWJ0p)G=|K{tK>l-$CxqqXMJ1
zykc+LK!ZL8@}2)tacyYva%)K5^4hZpmrHXed`ARY<+#FFF~~V)Wuux)^VgZ#jlzst
z;~BSYzlp6wkP!P%Y6S&GYv)BuwA3-GIk_tmxcQyKvQ>9>nofkQ2CkdQNmn-C1(*;J
zefl19R6A
zvUe+7M#Oc5C?BSmbEjS)h9l;J(R1a@)5;g|A>#WJb>rCJZ=#SHbVK}m;~P8Su8|ln
zTexJIh35{;bh5c%K%N+z?2#g^VtxvnhR+)A?KPc4h>C05URJe0L7$6no;^%k0otuH=U%LebM
z56RlX7Gi7Vci;(fBfs4SANS?rQb-Kytai+UXf%lSCih+JoBGQR{622)?h!x7I4^P#N
zIX#S&W<3EPedxf#Gp*Q}>$}&7n1}a^iXE&GxW4-L_%pe+mTS@eZs(W0O(H#;zu4f@
zr6v}-LzE;f(cU#PJ9a97KUiqe>ggP|@H)KnNREiZheiD@HhVk1YAntFSE5^~byD3H
zS0rP_{=YOn&;R#M#L0!2U$ve`a(*&9EOmV<=YSE^iQw>OY~&H|Whh_Cktu+_(DA08YYY7D$%f$YzBAs@0U;U!yYR@(Xc_F`OW
zEV_Km?APmq;LkdQ&Agn>|Ac5|bPt;mwaXr?Y&892npbpy#KGGd69+`0^0zU?3-Q%M
z=HIfc>R_JD9Gf}4S{m8I<0op(!hNuWRM>FQ*V*3g^%6x}HxRGT$%t~~l-G-%ZWsq^
z;g>tO&;`(rBe0j~w%U4$eHRONxRs&O!PiDQJ8dziO^6nE
z;f{-i-Rmvi)-~*Sj=UIY;dGZ7SPwW<^-N1|S%%HL$Cj*{SdWBAr+aMU&e(PQlt_`G
zKj_G6<8=YjV#2CI4;|LXLJOr*j3SDeFBgW}!noDNlsEW9ej&#k-mgHXDNf
zu7x~N*u0)_y>Q`!ByY{Xd2&RukVc8Q54JEBrmQq){TsgzIIa-}qqq(`h3^CN>Z9MK
z1;Jl3BbPMNl$WI^oUtR)b1&%oI`ZCF&1#vnN0WbVb3|l`9J06n$=N
zguJszMA%>gQ>eAe*ypJ8#LYrrpTWN9m&0(r=;*YcYnuJoThanK
z-6AR5Z=75FY9nCcv?HItjBH``Sh>)a*b@K#GcAaUbHb;2Mx@#2g%@vIz%jgaRUcr(
z+^@4n#yNWg8sxV%Pp^61JY*YnW=*kybJO{Qm)KP@-wLB|)zL1|yU)1b#@DXkk~=In
zg;-xjYHUyoTgE9YY_A93
zMAJjm*?4Ok1POA6dG!j}(tYbG?v@+fXXw+1*ECozAJ*k#WI)+(*U79y3cHLEb{}=4
z@^_hy{+ZTe+(jIscUDo|zmgXExxEz}&%Fd!>kLJ+ZSG%MD1(W}zPxwcq^L4PL16ZX
zqi5XCz2emqBHvp$msB0S4vA*OvIi=2q<~68bsT1LWK>&t=8@+=`f*ALZp$CtRPJow
z)u!+sG!PiHWIJq0JZdS}6RyVDqaShj{8feKZq?3V2{6n-ew46(FcpCu6u6RFkdSxh
zTO$I_?nhW&{q3}F^CPSsmN*XWW;{b_$RzB4tAW@bD|Kk3=cM*u)^Ea&Co)}+ElH-4
z{jC%na^*dCN;V`}wzD8#-r5MLX`O-b03xoncsNVXge_wX8`P`kKxhKl4q{h->kk==
zwehPxP^P^9-l8r!cZ8ak`{t6P#YK)PuvtL#yPL2gGsE-&nlrXh@~`a^OVHig)}Pkg
z-5tTheW|Dxf~Yv8-q$yJMM~w`8rMWv;u|Si-ZAHh8yl{Yt>soh!h|LN{qkRPS`jxX3axB{iaYPx#wax)s~KB#@6MNYsJ`h4_LCh#Ed_!xN5;|z!`td
zDkYBnq*tA9=zY%;B6v{JQ>Dz!(xK^<*ri`#U;aWT;P`m6bXH-}?=KVCB$EOnCv;6c
zw&EsRvh%R+hH|-hvCsdq4R=_N@cw?K@_{G-lsEhC@KFWsFQ&)Nl=#Bx?&^-Q#H}>`(;_9b8~o2HpZ^W3Cx;0
za!%NpvWZXhbZ_0#r+O@?p_J#|9{ym6;5IHB{-YGVAV95ob69xm_Kk^aj@jQBu}ORZ
z4u?2-LN8-zK$66_(X+qHsb}6>LXlT<{m+`3X&gBOo6HAt%G`P3ngg6qwF>-4fuAHC
z!b1A1#-Vmm2Iif&7I==LZP-iMCH$aze_(We4@T*KV-pa!Th}wX8I>{p!Q!{<*%x`K
z5*&n6JkjGkw!<&8LiG83%|%AUXs16*fbwzXkxOOlC$~zE4vzFUs+ZmJateNWztmK#ggx(nCJ%8*aw$||{{vk=wuhaf
z$`YFqmZYO9?3+CMpY*aXaxw@0VG31STgG2&-H8(sO&&m4h>Ya*a)EHM^hYs+H`v={
zCNU@fVC12yzY~zQVOhCY5(aVo?nZH{Joz=S%mDp>Q>TG<*>!b_We2ix^z|v4)z~S)b^@pWCe@M#$PRnmq+VOnZ#Y}S6
z=$Y#1+-e
zhtj_IuBvePH9tcIng0}niSOsKn~*a8vI}KLJ3}Cx-Jq;1hd=qTi|1^u%BGDzoSD}+
zw8>Y-CVOgNCOC2Hvdpc8Y!0b?McjM>JGZ`>hZP((|Kg3i);c+$Jt%CfbOAf#q^e%!
zMG!u^y!|jn`^P9oW&bGwZlUXJ#((Txyp64ICHYF~1Boy7exfMx7BPPy<+X$tHmVKc
zq}fGp%7wbF{Z)2m|6lyq*eFor$+z0Mj_WwNj&CBn8Bbf_27`1*cLN2vj4;-1u4=W`{@V(DUhy87RU>2%J?fS$%;gXKGcb0m*8lL
zL2_$9dGMy>-!Y9Yb_`p{F&>eS=l3s{#5_Q77}bzxCPNNvYm1tZ=?*7(t}1oa$?bG;
zdU7XQm3HKG%lUBak7)OLg-}QIW7oLsNZmqfP=$lJ{~q+`SsI*y{!Y<0{DH-JBsaHs
zCoETDYYjQFI7--h*;*cG+UFQ&VEet`z+<*9)T2l|mmx^^F;@VrBc$M=hTU+in5I_7f^xb${Je
z&F1a$GlKcz4*CaLvZ4kezG3+Ggh9(6BfyE
zx@~=wtsY^n^-;K4>*0c;gTl8K^}yB^ekvn|RW}HEb?Ste84<#5!jlLVO4JzQ5xGAf
zlM{eKAEh97TLY~r(*24V;0C0H}5t3P>}e7c<;;^5ivU>V2XRrl=;(w4(hL
zmU(U};fGhAB02o}!qL0X?tvYtPw8)VatgbF;qH3Y|H7fS93V@a;mQ{>4(q~oS^Vc7
zuMxj|nr;lzE}|lO{VSGD0EsKRLe?plxhvBpEpk=iSJMQMdiOP3dey_#X|HMLE_?Nk
z^9=fk;m_~H{{=@w(jVQ_#foBA5E~ugDD+q`rvAqM?VYF@;FqY64CnMGA6RqO?W`EO
z%lkcddiD1c3wJhM={`TW3P;A~!q%%qK8Q26Cooesb7euFLH
zQX^-&SJPm|LpQedrj7s4mWy&KJANn?f&_LM>pz$7$VMWjilDU+o$y^BX!o>n#QeLQ
z@k6mnj?SENQ#Gzh>BWAzXGb4^9X(f@pXk$oe5zp93b_O}%Uji%$$1sOL)@_O>Izmx
z4A9NxE197$h|-iPj=+Eb{pNqSu7m{hfAPmFvb->-p+gZdT8DRh+B&
z!(+l@oLrQEaMh~-xQ5%B&%h)2hxHO{%92EW(&G931lCpE4r_|Pi#BB>K~sL~#q#^V
z+&|A~VVx`$YsK$7ZQWqGlfW5mhpa=|!y`PeOmiRHcMMI3FWS9a*_~}thwV$3UBA%;pw@2oqBGx;x
z1mcWKVCW&lj=4G9K
z?=zhzpgQX-)*Erw8lZn13s3;Aq6(BoF(}=uQ)D4uzS$k!Lpf=(oP>a0KOo2n24^`5
zM8|Ji+0{Gx~czu@NJFv3g%W6hZl*uh*%bW^k;3iaRm?56oY|_(rr4N0%_?N5)>--*eOcVuc?^mWdye~ehIVfjp#ix4hsR0khTkW(
z7A>FafY+;z8?r#Xg>Z(YoGSO}u@YsaI~B>rOp7Ueh`H;mqzbs*U5G;rWBJ*`1ALw*C5N
zRB-E2kDt;ybfdCGaicd^X>qE3X&1AfB<{9K^C5mp_Z&r94)`p@T(@@A_@pyqVD4~z
zdY5zXGm=0;&6g_`VKtk~ct_jQ!TZMvNU4ZvB)@c>OK8g(BCPKm7z;c`p@%iAD|LrU
zibqRwe}Ym}NK-uMvd-5Rj;SlzJQcuAoAef$a$@4#w=8|%-C2m=+=2T$iyF>Ry-80P
zlG{>_#=-ViAyvDh0-0!s#$LW9?aG4jo@9Xax8}|N0-jPNiC6du|K)3oS$?-$C$(
AlC?!Rk`8TKkL%-x`=e}AHr#x2a)xdL&osftdIQL2xGTAU#nbn_xZg0<8urDpfgX{Zl^(=bZQ%~lr7I-vN
zJ`~!aej)k2b$TK5K0u@@UuwTNF=QK&rL2yPg
zI&I!~_BYeFHf6*|-(p!j+*-s*=KT-%x)Be$La;;8>9m_P!+HR_{tlZBm3Qgyq!g21
zf{%p*dd*d>;_2=I>!@du89>l<55e}wGTb&YF=3c0ZKmYT2xFVOB|95J^-}y_WU;g?
zDV1=elIHYk8qVp*a#ch!tcRw}8H;3RLsl*J6#B0GyUuJ}o0cl#2It!07e+N>NaW6O
zFnKj2pCU;-E&$>3=^eN^1IgOGA`M{oizuy(uvQ5m97^A!tCDuxUSyCz0U5h|V6>ck
zeBGor{tYbajn#K1yGqVEj*RQC{@1oI%`vOJcGpl?0K@m1g#hFQc9?M(*->?0;+?!+
zfaSm`h6?&W>4Bw^6zDGdFoWn-`Qv-T=ka4obl`pJUZP@1aofq6x
zs%vRC?Zfnl?>Q@_P|bE!K5Rh=kh;_sz~-^!99e7K6+lUS-a;XGz(W?)hjHl`ujJdK
z)&w|l|HHV#u6?2!(a)2N)~;X&Z4-o1LG1CNlD*YFfUeJh?ZY?EIBkR*f8jv&CcoH#
zi>vWMLg2pGbN)!K1Pm~teiUk@^OfRj>!iS5Ko&aa9__FXB2UwxCVw14$*6=V_eG~u9s
z?6h|$EBq^aRZnIQ1jNtfAM725o-N~Q8;GoOPyILVP?$t1qjkqlw!9Ux+fJy3a8^kv{wTh*5F1ay^w238tC0;YBWtwWY(22?t6|cs6
z&h3r-2h>8BEAv`uD}P)VK?hd|N1v=j{`1^mlp$r6yuQEh!3h6#>pDqSN#(0@A)f@0
zpw{;A1;y4Sf;zgE(gCXvBprP(hP;#~sjJp8WV+K+nUSy*n15IL)H~w`5hw=mzD8K!$vaIzkw{hW@ilvCh;G`gU>e>|NR^4gZT*UZ_J{s~e(QJz*85U(sf?b6?JH!W(4-s555B
zYbu)YO;$m~gys645ZSKf$KsWU*`N6kaN*LF-4~vgbhgsio?Uc(|2X|!-tlFO`0^N@
zrjk0PYVFnTr%idB{S)@0Z8}9MNI?0Yw}LMgu-t(G@8bsy&onoUUx|M0IhIBkI*G+IY$?17q82~T~4Uv
zho+j!W$=~ByoY5HLAh%yFNjeIv9Ip9owN|M^E^a1??)B^8KXN)VxGjw5HTM+sIy%z;*cOARJ@jKwProT}5}KLXV1@I%8uR
z4?I-UGn?rE1WsXvjZ6!j??(O@`k6$9^;8rPLbe>8i}pnv{l-TWlf0u8n~S6H{>1G%
zI`sH;2Dcn}53Qemc@qm)r#oM!VuXPXTjW+dRk~Q)-wo;ii
zS>u(FncxLd{KZSDz5XWyxZ8N0T}+v0Vn97AlHhdV%toD09g(dDXfC&ViP>r4q-9Ms
z$3eD6TRz*D-?wQ~?@IwATlSq^kP?2C(S$vi
zcxh1V!v+f?@2+u3=OCFYu5(JWDm+XyAJoahCiIUV>jIzVEk#jorYl5{KTE7g}zm{!XV3$ft*Uns9eKMlXf(
z_$g)3sbaGfhucl{X!jb6|MjZg9LbLl8S=`tr7rgI;F_ffS~5f>7F~3LzU}{J=Q>vJ
z`B4z^5_!D-ThVB`@?`q-B)pQ)9hOoW>?9=^xf9p>=_gTJ+V1EkJA
z6Du@E>lLZ68~Dv@^J35Q+jH@JPgr9ciH!)#H^rJ4#CdD+NJ
z+`aDz;(G80ev~O<-+zbMX)Ng3i
zvRi0>E;8JH(ug{u>W4b~4empN$&5Vm>+oLu(z74+>Hjr$C^?6|HdB@7MC3^K+aqEW
zqd#UHcFbWFWfh9ItA0{-@;(UR)X
zm=H!SDTk|}W(-Tx=J+Dm4S-MUE)&kSIfQR(wx5wC$0elQO*i)yUuPQcdEc8i#j-w6
z@SVQ!BGTiEKnCmXBREOb8{QFi;?t4${}9WA5F@N9MwQw2blu@9@+w2ynMF0
zBDZe+4Ag>)I&T7`|Nhl+Y86cY)Qw4SEN+HOqm0vt%wm4o$BPfLd(DKDUsWa=#xILg
z|LY`Jx*|;#gyVfA{77Oe-W~H%JvS1sSk_>Ka2m1I?JC0^88ahI&V+vV^l4L_;0Ke^
zd6TP5EiHt(<3=+*hUF#ZIQz@t_aPg5rzQOgFIXJtKg|VZn++V{_HAr@U%aqf40qEC
z2!j$A4FzFrhTIpeS~P&RLMrzGdE#x8eF7b56s6vCbJ|xI&lxO$Iys#
z=PKz-`snapOVs@2Pn~~Lt@kQI*IFBu(c^f^U_>VjDT1dT;4`U>S;md~-9t?z6eZ2S
z(7!~kdUN4`t~fjT`lJrLGazu*^11+eag=)>eCS8v!rD}KSPk;yF|yRIiuf=sSh{Jw
zm|2Em0Ey>y?QZlx-{^mKNn~5jQf9I%7Dk=5Pn7~6>Uke}tVQ4zaWh6`S+#N-F%GPp
zMmBFv7`R#Y7Epx~SG;%PUP`#bYD*d$BS%QpqnIf=q--*BXl$|#GGmHU44KizpD;~F
zYOybSt)IR~!42)z1Ny5OG@9e&TW-UU1uPtq2^g_?~Ea26rWbrks+uw~D&e14OW
z?2L!Z{`qVIVb4b*ev*5Zzey4jv+JO%ezozl>@22@IZKn^N~Q(##0x!M7c@ytGzSc+W3za;U!^(2~6Vww~*oJLO=!!Ehmv_QxCwmj0EWud>
zubp&nBM^3eaCPsN#G=Xs%eOQ!vK&(XrzhBRK-`28qSh8`BqTU>_RWO!q>PXD{1?PU
z6|Q<2t}`D}L09_tL^MY9XS;sU(fgmThg6^G4R~9=VG<~)K6O;l&Oup5i%-bxV8nRr
z(K9-vsn;Q1iah?7u08BJArL;9g{qoe-#&N0ko4O-;rjZ(*fW2t7ejGsh$uG49xeDl
zmD@9OyomH{P&<}j=i_TfzODfC*l)Puk3{>!9o$ST;Ul#MDT;r>Tn(Ug#s{K*tmye&0sI#=E3Qm8igASgKHuK@_W8A~ydM>u;9z!+K0nC-
z$&@EQHgVkewERmZ(%dE}&%F~?%=9xJ7j5*ti~dnDUCd*c`q|(hA1*U}J1Jj~ZiKBt
zzo;1T3#sdDBpJD79)QY!&7+Ma4JFA7A|dk~?sa`{1!UrIJyb6Lg%)KgL2{2leYCsS
zp-v0)j`Gwk7S{@-4lcFF(dRWww1&d*GyMh}#D0a%tp#ji(d0C_l~uFRSBb6gD%z-A
zxkF(u~QN()hRP9eovE28TdyBx?O3PL_RZ?(_Gj}8;Yc@%=^(D?!5VL
zI38tW7yF$9H_dl%F)eI3oS=a`lRb7Nz^u$L^BK=s(6~P1qG!Oq^-N52OsP
zH7W8TA*Q}7#WvUkJ}C5sM9pC7r~x5R8sDUpE@$bLe&<$dI&}bCe8@{)sx9i><2LoX
zGU&$919PtUgVt@%#hmx6lb8?Lg-7ty8JNYqs%47V?i^cySjv<;MJ^8)NS)nPAf@s28L#bGL={yMT0QM{2~id*>F9=hz!y^jto=0S{41Jg
ztG)GQ?}r#IhAFZ@Nex7-6Y2jW<)_
z8idHbn00tPpy!b^6hUZ{w^;AFE`AF=k!u;yC)qO|wtnZ
z^_%8c^HVOnBo{JrlI8`u(34Djz1}vI%z?}q!~%B+fdb@U0q$R^T6Uz0+3%iVq$tY5
z7=(&H31SXWk9o7^9`G(7A~QyjdhN*ZKztTN^Buea{ShepA}Rz0ZkShc{bDhg>Rbzz
z>QYoSXxs~6`t&Ni318EEJ}AfkmG<6Jf|Jr89#!|f4VE?M4-an`8_Rm2k2=;t3rD?1
zfMofNx7{j54_Bcnum{m0D|P?sCpz3w^w0jSZ@@HOj2H{94m`KCHH5nXYoOl3=tyjf
z^GAvD;?0sjGDv7Qh-fUk#_{Wcu8rG41rtRpELwavnazJ+?+ykRjQ;b}Z3QK8Z0Mre
z0iFark~kSDR(kMIW#f1D{8-gdy}rzndeQY4kw9U#U(cnrLaL?HC%nK?Uzu$*q`PGj
z`fAY&JsVrrPTTf_?-k^^x#S5|>FnIf@81lKZ$uqQ7{AqvezYS$9-ge=5N%DwbWKh^
z#SGSMat{&DmHz(SLzV%(wGjj(4X-JCrKLLsKS(uif7Cw!SI+lCU`HE0;{gN@_HI~`
z=qjkxEwt49VrAN6A9UOsEl?jBRhdafGW(1m%7E17+li2$JnPxkl_
zqjNVQzC(APQulEaSGY$!%>HKml;qZBcH)1>q#)8_xC%Fi{Ds#Nh&$9|=p6BJ09>Ul
zfN`|-iE_N~o~FD|x`@a@`rxH7?&|hk04gW9ToNW28-U{P52?2lnDXIrooiy_B~zvUkNHvOrTSL{pXPqs6$rBlf+aD)<~x
z`U@3kqynUHxv?848d>49VZ5Q6N8CUL0&S1XUOZ8>Q5c~%7Pm(`Z1UC|dMO6|{J!Jw
zDEfPd*oVPS>EZrnQr?0^?cIv2uC@eNT39^AX5PMS|GBS6u$|@Vz#l+rV!OZ)a;_0ci|AAy@S2AdwQ9G%>z%6?DdW>X-1#mx
z&hNczX3anPj2x<>icQjUpInSE=-p3aimCPz(gMt~w#(6n7RQ84=|JGV%%;sTq)}&L
zJLH?(fk_3`K^@giA1{R(aO|MG*6M%=a~i|;tHv+-(
zC95R!VHBnPi$)~RmVAIG1SCH8JWZ0FmjriuP|XzQh!Wqb+#v36zhm
z_agT|zM!I#)|US^)_x_{j$BZ5;U+(wBN_J~ySqBs4)8Mkw*_W8o-&35`L5nh?TDW7
zH(UoZ6LsDq*1;le)5i(iotZ@Ezq)mDYVOE|j;z5(IerX>8{=2l*yBy)$NS^inah!V
zPWmdx6YDHghgBoZ--)Ii`K~$T`IOb-J^sZ^-aYC1OW<(Z
zFAkAbZ-5hJVC0U@4EN~$!^hToeKpRBAhxb~&o7;!)=Eo?@#|Jgio8$zQ`>TUP`QNc
z5ThqIJc3*o6dB~j1>lA^>EE}ZB!F}Sn^2i~Oo+VL19@?m^t>(kcXTh#l+z#e!lwhs
zyqnLEzsMq?L?L+XkAC*~niW>_6<#=aDAw&_K8i1M{#_*!bX6~!_QE4OB=79n@6*@M*DdU89!zZz
zbPFYTEWAd1ksW(YdZnGCNq3{qb>$nIg?L5uMOM3kXYxb8(YxoOeTVnxRSdX`?cY&_
z;UK)?eZ(Zn303%Tdgcq(o77G=w==V5`XW(h0i9Z}m$sfNktHeScgdcFjoUFh&0?xtwK%MZkfwI9!_I=$j42N
z2$vq|jOKF&5%{<&D>BZqiR`8eLbOra;#5(FT*YH^1svdnL6T-*d@?Y3W&ETFo1Sey
zi#{H9V_!Tr?EB|+J;6yW<@PepVPg!Sb?usMfpgh(6~&(g!=ldmp$A4ciIV$lk2!rE
zQg4T{-V|>~L%sW3@P#oAtCJLIoDhN1U6Gf-K&8M-b?2U*fUcD7ef(0{vRljbM?a3_
zNU_u(Z*bF4w*xz#Ez6k`q*&Za{`inCK<=rFCw}pU3S70LFw>aBaoSS38rhoRt`-{`H8Fdjj_2kZe0Z#@3Wl5AzO761
z084|+-e?v6R`Fm60gdHMS&+K@4Bc^&DHPwxE-)`e{Ep`Yx&_i%CjYPoGsB~(O
z>UM9I48%iK@V}Qsn3mba^I%2y+MBF(4APE;i*(s#5A5re_zoGu&#EuYy)cHD8o`S2
z0^{&zgdqq`lrKnA0}P*dg*Gy=
z{0?&X@gP~=Dv9=2QkRu7^iCP4C5c01FiD=bPJm_ow9a95Mg2D!k{X#D#;m_t>(kiz
zc*V}Riyf)6!r5=1I?({U^M7Hq^zfo=bfyaZ!FJs12}+ZaI4RWyLFhfMGsrhdeG44x
z-8i)fB2KIuGY-><~&8dL%?7^2QWC>|=w{b!&vuiPnHy7BOYh1jY83
zIJeSx3IcF?Wk@GqBTJg8i{OR<))1uEDD)l$9yR#fcT+e*bX3&6C-Lod5u&x6pDyma
zKph|M9xo*`7pmI@VA=xzP7^Elc(DWd^cv!5>7Ur$QEP1v{~IloZ}
z4=_PWhZa3}1%sc_{tkN=Cnx$GK8si(XQxm<{ojVXCDSdV6_DDho1cVCQ`Gt2*^`!%5x*W*(ShiOFkGP0fE2lU)8S3rP;(Om@~NA!{6UFhQQ
z_-Lx7bJrPL)nE~ORdvdbyZfRsJJDWfuSVa~5Ld9#~UKSCrO8hRAK=zKM
z722V9#=1RVQ85I*^8%SxHEt+0eGoPggAfm6`kmHeVG9h-8DzIDhKv*k8>2#UxC+>h
zt-hIEb15DcE3+0>q`usLF^m8A2g;j|IMbRTKTyv39-Z-WvaMe5m3Y)eJ|;#BY$1V9
zayqeEtg|;JBS%BU2rHiM3g?0Pa!7rM-19r^>_dkv^RLQW&RG$!@JXZAj9153p_Weg7fUEQiN>^e#t>e*Xgf%Gm7e}Tao4}KfgF_hRCvD
z2q7a5Rz{>mtohRh|H&Tkg%i)K-JRm5#(zZ{x*FZxe{&mR8MYG~X{0|?Qm4ZfxvFVO
zpcH?3PwRJ*F1|Mc$hE6{-q{Ybo=
zE9tcT@A%op>6Zb@FB#4~(WrSSWrE4;5#vd)^+=O{XdX044|S{0Tt6|G4DAW^Gi6de
zruMF76_WhvDxO64DcvG@?DKCYg8FNyfT&A=CuN>M@No}`G8Su%iRg0;9
zT`+n5;d0#^GYF>t!DKTk;o6%&^P4*=U=3oZ@mULOBoFS8Q*(;4;n3MK_{+%X!aSJ0
zAhLeJpG&ms#_khhQ2-`sKR;e%hz)+%NQ_{wQR_>wi+9CBx++M?CV!#GC8gAIT+Qb3
zOwp?u<hj+BNd;AO;FWoqm;Icf6_qoOf4=qAnv4ttn+fR|q`kh1eV;^tnyDb_Rf
zgH5`-hAx$z-j&Af98S;zL%*sxdjNe+4NI5MG#|gF1R&o&@IUo{)xU!4d_oopCbCFA
zA&cb0ZxqS=9e+OZ>?fXGN}*6{^eiWu#_u7-l5!^F&b&rnJ0yix-Fr&S2?Ggk0VCxy(~GBUj4g`fBj6O#tx?1Ean7p1weN5lRy|tBsfcG7;Dg2JRSPn5=khZl)G|~6l$pg|Wy9IjBKGT6VEo#!t-8F``AYWf|mo|CMR
zcw^mx(bn&4jojX-l1vmo8>8MU+)5!6|Nkuj4D_R5q|qE(qR%jq^kHzOM+xH&PYGo|TC96<%KV&7KKVlwpwfEp41(4}PLOjXP9Mvpt
zm!2mIPM4?tAe<5wZ`=~4Lkb4U4Ivz=fGmZYj=YzcQ)uH3_#T|shnG0wA+B<{*q7`O!C7I)T%R~>McqUEL_c5U)6JS}
z<@s*h?>QfqE%E`05_d^tsUwj^{jr()epw(CKIKyrfe4yjo>KAokzOzaUwHc$>%*#h
znfHJBdn6weVtKcTnp|OE2Y1t)I2Qr8Q~)*^`DpZO3_&NlJ<-aqGEY*G*ID&+b&$N}
z#16YhZJZ@7jlDe+q|OpS%{0Hzz`+n^1PqaQEcpMLleC7T-tzhoI%+V&|M5J)kQ*VC
zKW~Rn{J%+gbLnejId7%YWmuNJZQhrpYT7AZ`Mr$W4C>SC(c&FYhE6fwh;>i7((1bZ$Uuq+on
zE7`v!5*%JGwJ!wp&Gz2Zt=>!0cO9eNEsrAMeBF>|##V;CIj1ihfDUJn{=bTk0HOF}
zUa!=7A3GoA8}f(x>lW2LVXFNCr6jfI{BK|-!*;f|Ffve%0&N4I(Del#JJS(giu~R$
zzSg9<>LbVqtURFfNs+QW%QnbnYx#k|_xg#Wt|IZmt^q+cKKQ*(ewbNobv5m3m_1b@
zhQFAn_+P|27#7IC)X0O8Aoq+B|2~LBuWq3H%8$vz6YBomLis9XwpoQb(@_kagEXda
z)bvMPUjHlwI!9G{laPLdtIjb`oX<$1
z7Nxch9v8#hGgseP-1
zr~pzoQw@AL)~>7EZfWP`XwiKe*pMAIF+GUIu{`ZNj}nowEs(zMj5WcP#ga?b9=-$hxvUd!*zy1CBh3~NC=G4sruSXn-+l6pOZE_#W7#7p82
zseKAr)(n?IR?#XBUd4RLX
zY{S=pm;_)iV0F5l7S9mx6;3e)q}
z9v#BfCK~lb_jne3zY*$n1$UFP8n2437+y$TY1h1K$@|~^c6?Ecqo()tV)&NNnBi!*
zN?`inbeqi*(il!*W~7v7ZyzhtS0rJ&-;sSQPa;|S*L=upe>t>jn%?U(^?4JM#83P>
z9;-e+u)c_S=1LL+ZVcgp016~jIlTknI9y_RL;>@+q6Kk=upzt$0cAYrYMl@bbj1X6i6WWkNKnGvN#7epVDnA;}=%
zV_Y~AH!%Em@)OauRIz>v1teMw@IMY?sykA#V+Nr6sXSq3YKQU_Pdy1$@#ZL0D{}tG
z()qgf3}pmG7ZI&^5Ab917W5ldF_``ReuED^Nl$bQKM^YW=uWO5sH2G4#jXbo8q4tP
z#gaBY_>dmjSo-J&8SG`h+D+(Dje-Jt#fH`qZye5Sk?OA;djRn|K6&1blNx66gW`OjqVkRQ#EZgu@YJ5=$HUH
zkj*AC6Ys06FZHB5y{j#^)xw^l{p5fIq7Cb&RfN4=!)~^U@od@eNKX0F
ziSd3Q_P!(LW&P0&Yg*-CZh1BkHlw_j$63@{;Qn@zc!VLCO#2ppgl)r=>Rl)`#8zuB
z^yD;*B24#C+M9!E+nQGF3EEF)yCfx6S%Bx4sI9vkLOrB9=hk)JN06`K&A>@d_g#@TC*lvwtFC)Eono4@!Yk$%
zV(O?jMx+t*BT{QbL&VhDjt3{<0dyA@b7q$@s0fuBQ0=-1J_{jk7z5M5;H-Mk6KlEe
zox6NUJSHB)ms8n;%oMuSC^iaLuTxpJBUlyPC5~Qd$t?S+BsFLIqVhIXvf`B+LQ|c#
zoh82HbmA_;;U_>|Ks^Q}Mo)GIfJ)^Z(;b9AP*s?&w<>`Zm1{z+En63R5-XOv!kN5;
zTSCA5VrYF8FH_0#2SwUO!>b_r8-kh+X-nn!sG*rQyaCG2uP78K&c)cN)nGWr9!-EZ
zOG<6tTGs)JJxj{>Mty2nAg`dJKj9m_q9@a;XA`91>;osUeNVjEv0SvGk>7LtqZ)T7
zqy!w?8!kK*KtzLQ(*~!tH6B`rIqcEh0E7upSwn=7qIbM9)yH>8M5KAy(jI)!noY!T
zBcQpyWAp#CcjeD)zFnVcEkzY=?bJ?dseNrwrBaGoYF}!vB`OrLg)Ul4t0MNjsJ+&x
zoqj2zh}Z?CL@6aji3suDo_S`T_YZiV-`;!fnao@>$()?)oX>UUoXg|yR(@QWmJQGh%y)8z
zPY?_ek~%qI6G&J8e?m*5k(EhpMA_0Dg_a;s-!6u@yT>yHZ2w7_NS}IMG!?!882;NO
zXT{JP1)jcQf;`K)1Ebahnzs6U^B{$X_uQ@`2fVD7dJF=B)i)C7pC>B6{$M=CII!L<
zsgnt%uT>K~c$c3G8m?y13wThY3sF%KO7AN7nwk*@aqDC_91uAxozgyLgwv;f{7O{Z
z7*2}ODtt%ra{IgZc2v77Zh{R{M0LuDz3%o^er=w=95p4xY4Sa&rf41%_`aUW;?n7x
z!BHU#kj_TD-3Ql*wN|r(qpNjQuK+BHa$%V;es+18#(&%K^vCzb?I|nWctR1|8nt`k
zX@Q2=tRwu5S&>IpeV|Nyo5QCL6(-lEA9F;(GXGo10wIF&ZJ}%%3B?ig6>(6ONr2|w
z{=?gUMdYEtJd8_6Mj={SckjdkgFj9ki;w4dUh%dvl`D0W4sk>H?)O-gO#124FLr6*
zfG{JTzTROUsP-}S4Cqu!YTy1Q)FbLupd_~zuvSD^@qD7Cm!Y%YP-CM|6}987AP}ud
z@s$}o05N>k|9f#5jqIb|H{`Y2T9BXK3SI+4x~{Ku%bB`6Ujs
zNHILjAZB%LX`h?)>TRpbnehZ&zLGhfd{hyA$Huafz6<#q1cs8>*)*@1I{Atfe!p3O
z#z9@*Opk`T^DW7~+_B6HxQBxllSg)%X7QCA5B}YF2A~`TC{*iT{79w5jSiZ~q#FLm
z7!Av*u}`~)S?^tMh&wOrs@B&!Z6lG4RoZr>L?a|~-^yEPC0JxDV28Gw6Zib$Jn}uS
zi#lA>eSc>HLm8oM(uMTKVkJBTU);NP0iQ+T`e#X4dP0|b$9a|hin+rufLc
z8&w+g8{;HPUVqNM?gA>_H#o|U!Q~y~+@rE(&1@m}pXU_6>|Ob~Z)4xZo8S^P@^rKE
zvI{HAy=?;M5j-s&Jt#r!*6p5_Fn(__92uVWZ1IOIMW%N7E$ZW%aKzr^5#&`yv?M6j@9qI2QS{UPPDCwIZTfq%5L!b#dx^g^Y~3X2i?zn
zGyhV2wcV=6OOc>QNWUNPs36oC8-rwYx;wi%tCw^VZX5Wmq#Xw+q~@Q|)>+m?;|q`s8STtx_&j?Asp+e3UvH
zm$tw7X>aLcPMU;!$(zj~0_o6N_0Hdpvf6oez@Lpf8nsO@U9WO#-BKxNefpxeCAR3Y
zPM%earTM3p%)o$Wuc7WQE=_=kV?r|uqqCI+WHO=6G2dDnC_Lm3_nB}2u*)Z9x5%T~`
zwoSS6wSQkochlOHh`
z5Y#QjY&#Yl;wUH9@!&o&hos}ewy|a!E{*hiE6FJjtFVvUX`G9Azp>efpK-zI&bZ(=
z;IuOOgLUceZ<6!}E`-ocuyX5{pA-ElUfj00mFV$IfJRwIKSR*MxV>I+aQ@Kpb7%C}
zyKcAQ!*&5t3)`2E8!s`M3e`Ckx=C~(xuvvtI|$m~WX;zfMD()n&KVhW?|PU^qq&x*_)(C!PcmTbqJQ-dZi=trQprgIJ|mR=*U7O|
zm}#y$mT!+{2`)i7aD7CGF>+~aj!*!0}0H;l2la)juj$OWVatBqK)lnylG
z?7`Y{^jgtOMM!BQJm!}cb&SsF)=xR#5SPXc0;~TM*EWj
zSTE;sBO9^s)+KgqgF0`^FeGVtd4w8rcQ9TK8*pI>62CA;IM;*@7=Fz#$ZQ%>oo?zo
z&mS_(a(OvgCV@$r<>!f6>|>;`1`QOaC~ehHB^Tz`xUZTx3d?Fyc%WhY@(<-!^mYqxg(ce2yGSR
zzNPt=Ngi~K5H9gB;aLN7k$-#q;Leva&4rg@!iW^cjcg3G
zetkbZ|7v>|jHINl@Y}rxBePyKaO#B}X#!2#?bJc4+?f_V3lga!QdV6&^0w4x$>JCp
zJS56tF+FvNzE{
z0>rg;_k1niphV02v8u#=!O0=hVhBt!;J58SWQcBYS<6L*8BUsXm51k2-IEh$Hr0~a
z*qZr=+ki11Rup5?r}nRSD>}DEB4NvcXGsC3;%$nK3;F!S_l_S^Di=UW_V|85*Y4S3
zaTy>e^-{W4^whfa(F{TQ4kRYo%Zvk`TQ5+nWEM1{y}vB7N((|5|ULHdBeH&ZXM^Q$wDqh~LPtidcZ|$TmAr0%B_~5wZ%Q
z@I1gMXmXf`e|9}%UO$K0g#Rl(0RZjaFOD17Oh9}8dF7ntI1XdJt^-X`mtsF~YPfMD}yUuxS|I>rNIRb+bD-^_A3pw
z_Ds`1PM!&u{k9`}an4F%{jIX@QLYUURPr~%emY=%l=?}LjF$X#g&vO9t96VEJ|@i5
ze}{l(A_%dyd2l6bhkTgGv7lr>ZoWlWQJ}FPlMki-bO2xY0T*g}g|eb~^Uh;2`XR@6
zx-{Q|2b}uZx03pl-98uKfx`&zYQBV}%_Wm1idr6Xl2o}>J9O44oPP{njQDZVB-_R0
z@`O@|To{DZKnw94@?wLnz!=2sWrcf|JLpzL?8>#m@-**N$J+y@8uhV0Q%B?=L17P6
zm&q50@u>Wuqg`@zV$atnHaxdu6_2QaGA7d}eXguIYJ~~z)0&R(x2P&90u?1cFhhsI
zs6+XE(|dzkp@nkR@uo&fX|l{_MR7-kQ`W+MqxX5Tt#!Q_P}R!SaWn6c-^bXpknsYh
z4->G@ZT%y>o;WuSUB*IpV&(PFObWbO?LHy?D&(jU8=tQ5(u@I9fn6$Mvgrn{zT(k&1(XMBeD_mlL1nDVTx#BFvI|A(qA{U
zIS1x9*<}H5Z>pxj7V_P0q8CMAwJX+Cv3%Z+0vqb@CA}+3=**#E=F>4o0q{W%3^z1P
zVzuGh>$Xehtqq+_Nc^D=h}U+wwJ#!C1|&*gV@V|c{oO?{Kl-9PpFK9UiQt7i$)_{#)OE_=ZDTxB(|_ezXp=!>8EVplIB*6$V8?v?fryq7
z)C55kf!U_(3_H*6wP)ggi*%*n4S)5c#n5B~ufeW0f(|jCfp=$bDzARqjW}!*v151S00c|%6(d>e_md0|<86$774Dcl
zCyyZeaawI3keK%EYvqL-<1VO3EXA8|HxeSY_A?ut2XfI+yAVA0VPCSmYsx+iA9^I0
zWai3~pMw9AsP(bvXcvbgjTuooPBvNRCZ_bArxs^MUM*S2Z}98#fry$Ynl6iY
zS_<>$k`B+SG1{dd75vBwWGb)W{_|!1LP{2qwpC5CIHzjePB;jy1eP&EWAq0(>Nvzm
zHOSy7m)>CL#otYOo91RA)udm@FPOyHqd9#
zZ!}yXimI_s*)fG}d^j`mR!vjzL6oe(z`8Oes)6!=hA=s$|1o0~7GC>q#7K=jI2`dh
zcFIo_=D)XQ)xZ-O1u@o@}i
zJ5DUoY||Kq&RbUZc>AoKmhgTK=-&=)IPU8XN1>7>nWD#1c@PmQtBHf9h-3Z1%trTs
z;D+OgjQtShZwa<<+%?i}WA?05U4fg3rnoCWev6tXsS)Dh;%d_9FGvP1{bch3#*_{7
zYSd4>$Y~Bf{x4lfKVUu`pQm{O~Xdu>B$
zlkz!3kFgh|u1x&w!m9&z8I!nQ`>s>@V^yb%Q$krL(y;B!Rb@0TiNQ1p=2Ld0h|~Ps
zjTv`Bhh&yLzUhAF^<(J8peJUL6{x9W^Ff8{D%oBB9>>yuP^g_TWay^{Ft;xPADLbr
z80U2;7m;^xxJ=~SlvAqwsM?GQ{{t?n+fUZle0+u3o6jMe7ILAR-I9`BaPf~rLWip&
zTG{x;dR`XRDDQ>{-=QPdVd!bbzC)!bX0PldgK9tHb8Ll4f?aW!Eis}?$^F{0)`Q(y
z*3H!`>w}F)7OvGTx6nLhv?K3KNVCPA$_LA#if9gmeXe{1i6T;Cuq!Ls4?PT^MWGZV
zLv(UdpjX%bkY$Zw#_I*#bM%dPvZSX8t&@LFz+8uvaDJ9AdVgh}1q|n_ZfxbQ5y2yk3)D#RU)&eeKGN;uDZ|FXSA_&DyUX=N6|?ysoO}e+avObNdHoe<(6r)RcGS2h
zwr{nWMW{qXTnDhFUAV!-0xMkF4QaX2Fjlnb2bh)aD`TT7A#(xqsJ9-a>6@D
z^l-C_wQK0YNjb@RoTv@&?n(F7kEcljcDs6Jw-$gu2KP5pycc#m#L;vq#}D_8UJPj+
z&H@q{XMF}uKJxjVhMz#r_0SQZn(}`XI*57LJ=3hU!1K_J`!LK=PwS(WFUZZa2(}wN#wJ
zRWsl`Z<})Mmc#+gAPK|BwHm(?drK4_fKkN&Q2U{NViWT%AcvDYRMpjQ!Em#JhnRZJ
zN*m&SA<@Ujlkn(tv%jjV%mzMp=DDoaLTe%|LaQy@9j_()#bAzuOo4Wi4V%*6Qsbv+U;$BX&o<&ZbI%aFLl#{v30zsj^%-zw
z=7fpTJj*gAakpay?UWSBma
z$}VlTXMU}B=GSn)MPoSX5~)+9C{XoSJ<^#+?El59B$CHhEyy~0XX+;TY|mUTc=B5KIC9>r6q>AMAcI~%|-L?({sE4
z=QG?$Jz6}X?3jaJ0rMMj&6C{_PT%lte*rMvOR>-1HON?zjKtql_?IC6l?dVgfAoK8
cAb2Q=+B1NDpGa#1K3fLs8Q=YM$NBmH08()UVE_OC

literal 0
HcmV?d00001

diff --git a/dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-24-1.png b/dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-24-1.png
index 0b022b622ba2660fa09678201c9fb9faff89c845..13254ebbcd28b29dfa00c240470959080b235e9d 100644
GIT binary patch
literal 65570
zcmeFZXH-*d_da+iDoV8rNRy@@AkvgBC`dPgRD!uneM^Ta9i4X$P
zA)yE)l!U@0hh;rvX1s+o&l&1V6!lhl(vH+~9U(I#`^yV**0uI6^Dt98oB!QAg|20De0_5!f
zUWHv#hW_(yh6Spy|9oh3os8k%EBPo+=s(v+dQ!^&=R@Hbi0a=f_Mhh=vVX6>-}`@d
zGjAi*3nTBHMU~QKh;4ph;W8VWkV;8enVy?l`41U#8&eyb-1+%=E|sOFB{1$Q`&5zU
zo}Qkn>gowx<6~n*B_%!ctYp=LyS^2j~{F6=;-{4rC=9751nGXYW9&|
zR@Q>9Yb_$!*qAYtpZ$AWeEgvFN=a#HrP@@B_bi0RdZJEF{fgnfE{r5g}r^L7Q3+HYT5#Vfx%clb4Y#g_+q$Ty(pC@w7&
z$@ms}ow?#2Gjy4>oa{$n{T?!tK6@^54vN&Ll$SpMOB5-dUOeQgO@8|S`qmerNOQrf
zV5!*)7$CAaun+80&k7W3=NKU}Dw!U^7k|Cv2C2fr{<1^l3~u*ybBwDdUBNbl*}s6O
zsM!3ez#Q0_NLO^6vx35mx~RYyrV)vmY~tkdc{d=1TKQY&AohuE{OQ+hc2-dCS%+Jq
z)MXGDh_5;&?Q1qNhA_u(#^?IUxvk_6gtx9RSp3hBdD8QTZvPvy@Bh2EUbA_~zxaCt
zBL5Z(QOS$W-F{>L;=-K{N$Hh;)A>KW3(0#cfZd2COvQok<}Li^yO4a@0*J4QXA9T`Ac6-PSoPZzKir28`L8j;aJL)XDSCrIlr
za6MJ*3YM^%1i|@J`Xp5}Ievp0$Wwo4iu}=E5DYYVu&JoMU7k`t9RU?sB{I
z5EDO_!-qtELuX`zTdJ_F(&J52ef|8bV{D;Go#V$Qzm1X%DSvc?+)+*ps|>onwclRX
z&Mtojwr@U4e1Ns(BH6k^Hw$?Rt>e01^L4t23l}aVBqZb|BwPX$zQxI@Xl!iU)7||<
zQ!@tKF{iIj{r+_h{y)$V4W$gkCm=B160j@kIsef7`P>_h#;x2(?-MdI%H@b_T1^M@
z?|o-s`%dVw;=uX0ye$n`GC>VoYlkaYh5-SM#j+guC%{A;>8_Dc8g;QijfPqEldkXH
zzt;^8Zn<#rVq$uF+1Qv~eqkX$Kfl`K34T`lRQ)B
z+#PA1Uo!fSe0}Tr`1q1*$mQcHeQDhlpz=uN3+NKD*`@?zdlOBFJHQJ
zQ$V19<KN$H&Jr<95lyE`5iJfKzNgA#RC1{l!4bA}N};pCJot
z+HBsE#jOr2wg%!xs%^VOJ!YiMVYqSGt$47pn96pGL0LlCmD@(yrXH>1dTi%grRA)x
zDS=b^Buq|qkm>MYL1^sk-uIr(CsJ(+Ecl5Xp?7Gw&7LPk_5-o?|Ubtq%eLWXr|wLV%rs?|KP!kyLa!>B&Kt7ajkwbbsxT{
zC7t7t1#5U>tsfH72CQt;*K~gq)hZ}rnFZJWg>Z9}Bzf>_Fo@(lhJUe4Kd1InU_pPW
zY=*(YkjdwzZjaNk>xkWlN-8QQUeU`IO;4Md`wTy_Zm#6If1R%09W^xu`f9v)FUih@W)@R?2C%wSGg=_y+5w7a9f4d-;*Gl>r}OhymU;Sj<<}MuSRcm8iabU
zi!MEP2hRP5emq5Xl0~4(j~_n*7e6YiXSJkx&He<2FiKkCF4iD*Eg4(_X;*dkL;t)u
z6Fkti_3WOWke+PJ)|qeWiYhDNQ|z@C7a6mYF+h2rCzeAY%53F1GB
zo_xmki3~b!Ox5=c4oZlng=Fj0#>HJw>=nTW4ZE(tFLKbRd-8%j*C@F?l7tfe1mP5~
zTYmOZU|D^9tc)IO7lIOxu=Hdv_rqV^!$a_K{pdEUhKy
z5DdnqmaggW*x)inn3a`NBqx
zceGHXIi>v9If3uOc;7D}TWzwJcCW5JE5B$$I%4LvbYZUIX#nVdwmjZRGVtd{f3f`2
z*HU%rT+~akvPncFXGAAQMCXZOTgaWKdqEIX_7L((b+~5BRaJZf`x5G}q$CwlV#fNl
z^WhM5BcuOEsj@bUT*x$9@cVVn&cgC*N*mFYAAa?1$lrc;?|M&9PaK!Nfk8=L-gkiC
z`V|4p8yOwtRL53-3WFUk*-e|{QD@iQ`RU@$HNzE+eBVULxe*U9=P3S~`ACLoN2Z(_E-jsM!$
zINzrw$b6CM{7o`>?A?nH<5|1DqxY220&{+$^rEMLz5Kgy;`bA(%oobGJb$Tw4&kiK
z)Xxxdr%lok@=kYaKRV}l?nrOS(s3~$D7%t~>iTt3eS0b^
zDAFu*r5t~fhO+ky%8N-C?pgh%A#wtZE%``xUT7niw`G7h3buK$L0@U&^E$HZnNgc=
zrbXkSpB*lTa>P|`WS*SCh<~;`GZp?z|D<~J5O$|cJjm2`%7_?Ddo}bk2gRv-?wk4@
z&d$z00N{UPVvm|8`#?wyUttYYZsH;nh(5o05r+|}w)ZpRDsC%=w
zrseFTMq}NcS;zyRN(>2AKBbh8G@emngCf$|v
z|3|6V(*X!#kMlH8=(9OR0(##c4u$!Wudx>^n^1uw
z&jZL^58N6l23(3#d)RjadUrk4tl5HXt3QeBkf3(t)9tk(c$-eEkU>ZK^#8|`6wXqi8pHt*e3!tcFj{pm$S@S&s~)cJvV3%+nDxvvYak*vyO%QALBN9PjUhCQLmF99vVJv4DCBaC!)Ts
z_@!wI(Vxt&&q1TtewHQRNq0_=gTVHp!B&13^n}n)Ey*p#vLior>T{|X`6S*l%9kegu
zMVyZL4jO54&$dKxb5fwMRV19@3Y8E!dq-d&1tt3hPjLnHT*|V;0O!st8pa1oul_2>
zeOg*_!5$f6XEs~swu~+kUAw)q=3>)EmqrA(V0ka!y}N@uC(lJXXe5&U-&^!C>DSjw
zg1N=(>s!lg7M`J7TVaFE!!_*O$}3<5*wW=J8r{lNcdaMYGx$JwPQ#DHMEw5p2FK?4
zFh>$~BQayHTuK_@w->7Zn)t6)v0Bt>vTdLWOQuHKw`T4OU_XDQ@WuQg14oT|Z9BAf
zN8~;&CCqMI3{P~hT=j_m8Br(qb*H$g#f0K+l
zt39Mq#di5bd23@Pi09~IUIyq6~
z#-HcYQfDe`D83bf{LMw{nE3gvP;12ttwBV7W$Wjw4V&80Z$8gn^M#DwCw4#>VS0c@
zI#Z~GZ%wInC^+>WzruIV=a=9vMrD8%wF8&De0MI(t?#r;1%qa*wEtKDnc@W%rr#y`
zA;Ejb92n)Bby{kpyakG;@6(^Z9XHT1w6mc>2CW|Bz64MmaxWZ>0a#=^_u!
zh7xH(K@2h&o6IBOby>WyH{bl!8~jnTj$EdSyblLy1XRGM^WbOBlAZoy`SffUT2e1i
zHH-D$(=S99srKQM7}iZ+eOHLpXd#BnSCaI0=v;+%GSF1_2rMVPpX*Ss7F!`R1
z83QfWCk0i%#zNX}-PS4Z&A%t)!8*U;CnM^Y5c0*b+I6S>!tY-(8)B^v61rXPQ6T0J
zoe#9ZpP>(Iz0O)5)AnCByiNU9bE-KhPFp=nOiVq_g4gf;nLCa2yLtuFKrcHn(h@8~
zc=f(TmZ$GoqZxiT>!eJXHQ?bmj^}R(eyvcqOVQlH&swYt?b56txO;n&VU_g+5@%&`8Tdb76i
z+qVU?bzPILA<98!zS`cuZ*
zMK8)t@NWK?AhrP7Q0dkh+oUE3JN$LV=X
z_9kq-KhtZu%o*acX@4+|MSpyvM61_Tmt!c*;6B-_v>>JQQqr+4(quuuezY;FBj!K$
zOrU+)t6o(_JXoF5;EC>n{{;^ZO?`a=>Ui>nVjuw{6TXLwsK;OuB2wzDJHtihV%t|%
zH&M;FKdd3<5y(+hifks@m=8p__d+0
zsUxlLXFGn4t{=l_>b(awbj^(O74!2|)gEg{VC%96F2CB!|JhagNGI-`1|?I52u$mP
zKt|?PcTow@#@Zb!fpHA3ETFi%WpF-3+~hHFGolcAjjGxr_&7i&HKhm~y-Fnfx>Ut1
zk+2kI7l}bsA}lMCi)Ul*%l#2nEG}M&c&y{KVpiHbbUP)0rZMZ)*;yhr&+)Om)xX&R
zsG%vE6b3@)SnSNnWBxrB$11m{U3>VIvA5_?IN1F@IdNC9voszAqXNbNnt}N_F0H(huqEf(wDOfS(^aAKkyP
z>PxU}`|aqcFQpPV->cE&@cj<={apXM&meg$uo{rE08%w+9wf-5S@$UnW~x^Lf#!*0nFdJS~DTB)L)ajHE>O|KX6wjqpWOas=>0?
zwKd@I$ETJjGr`y|$E^X)6D*Qty5r;M^p81CGEL|yGMGZ!>!3#(<;M;`m}DA5YD+ND
ztWt1uW*K3pmI3FDAl8g;?^KDn_tAl{6$yMn)nmG5a|%=VSUr)j8sUJWM)N&wXOh*c
z46aujuWwUsY*hYnH27f=xE}JPR^S
zQWk=u0d>55^(qMw-FU{M&{y3=Ste{2=WbN@-Qi%t!01UaX68^{Gf55Lo)Bc9?veQ)
z5kYvo_)KuLyAZ#|8M!#Y#pXio4Rkjqj2UkB4vtX6L(6J1k5;{_L2~L=Xd9Fr=
zOYgp9HLEp{(!5kOwWb%K5k0{wU6uv=VrFX@tRJDKb*j9*)!Ss1EuQxv<8wFn+Q8h(
zstpByRmNqjm#g^G2WP*LJEf&M*T9H3YPL=V4vhKtJq0pI>dU)#ppUO>NvHHvSov?b
z+#j@>J9F&yQRSfhVqfQX#b+}%#M7ppw|sQZh|6UvtR0ZPE10Cl+tZ61j5hV17!`7y
zi!uKh8p+e-aOg~Q+6c_z)(!ZWq#
z!v1ixp+#=necIm5sl0;Kwc?AoW?{~w%}zIic8l=d@tU{`VvVL1UngiaR!6#@A+fJ1
zY26S%SN1-2FY{cJK(az%1*G(c$~|h1<>zf*lzOSMWA`>i5XVTEYIH1Ob%2Ft)&Z~}
zU!IZHphIVwR?pJGy+q(XJ%=yAS|n!mW|7){iY*h=w=&q>c<-EASuv{+U|SI{m_j(?(P
zPsbaT6Hvwv3ovZf3HmCfh)p-t5tVlDSlN<%_Jet6Nr;T9A4L2sE)V1BMt;Im`5iG)ABQU-@7pB4Q-uV5cD#dgv{q|zfQgw
z%^60Qm};tnlo?q>bPgsihUQxDH&|wcZl)j`Sfz5>L#l=F_Vr%J>0tDWk~
zvshWbh?FMbfAn_J7P1m;Qkb)#HZm_0G#G4dqF;{i3voLz+J$f4+r=?A`(eWUuauTG
z{d7UbC+er-el`QTHn=4V4$^=V(gZ=jUYd4>c4$?T<
z3Ul{Y!OsqN`Ysp~HMWqt`&Uu|kG@rtA*0u(AG9-t#LSAzu}D4^XH0V?bUDyJC3l46
zjY#p1EBy_Fcdjtx{4v3?1UBKn(Y5S12IGu4q!l!a+hp{t__-2d=_eA3p=*44``M(q
zQJENlJ_ViS6NoGDjiAG{qJru-hd!Q;=L@=Pa=g6P*uD4S`psKnlgEU{;5Nx8*?e*r
zg%R+jRnPGzGrr=Ik&X9Br(L(=unY9E1_9CgA8sZC97A-OdK754EE>Ib1dB|#zBTki
zrrGI7z2T~REPM4Wccw8*YI}8@WP2>iezaWiG`hUE@J#x>AZ?5RzCU@FLiW=cxKnNP_@DJF^S_De;Vw(YFL@1
zbP)7qrswMBem&78BA+c5{k(Qtg1@qO_@vypu)TcN%%LK^Ebk#IWWWk_|L8jRM3Am!
zsAh(|YUz=XwTD4?w-?Xg4sYn!PZITlNzNIXt<~OeP0Hkjt_`cTTdnY*N&bF7-F
zlgBA=&^>jgHZ5H+NmJjDUx0&yt9Np6ecU|0dC9pO9x(OnAi2lIc}z@1Q8&m(eXEceN3j;5TobY+4VEOHE4A!p7$nqW>SllD!>2+{$y9)6|{!}iKTp#JXM&a
zbG$CK{+|ArkxXyF2c5{$jGd^EnbOrOd#Id#y52n>b7pTGhzk==QuRSseY^XHEGY6d
zSVl%gTW3l%5wxqNy#(wSFJaGxuuZO_0~pZ1z_*5dml}TYJVAHPZr;WNfICsUIcAg4
zFV-D;z@*O@gjVDS90snuTT_ib36af>VO*Q?ulfEgRMI|=(cRP%c;K1YRzpix+1!y5
z=Ougl=NS(tv*uXZP6)oeJ)*v|fQ12;J6d?AFS-Q3-jP#9DWAD6ZW_Og7rrq$H^eQ|
zjET!cF}KpE<()9y)lR}~<{wl0YVN8hn)~+m-5J~DWeZ*xJKC2|#fu$*0-lD3Cs(`L~@Q+{6%mjF&*GM#haitw%tz=o)R8
z@IZvNo;=A2P*d_nXFoDD({U*F(<;}A!!0k3iU}ePE=;wVx!Tk{itEgIYc6%h6+ZV%
zxV2%IS&@+5ZWrN~c~g3q2+WC(_kQ;fEHq%|el*{bag|%4U?}Y4VE$C>r^IgeUGvpN
zi=6eDkDX(MGm$y7(TvuPH|G1kKP0yAYHB%8bD*Yg7R2x%gCw6=RCKlfE}HacE4)QL
zJJ!DyQj`SWx@+Ec8iM*f8-X3E013+|8cgP$!(o#C?#c9iH`5aHO^3h$f*`Ca$Rh*!
z6L_CJ(@MlFPc$MC7UbmWu53PBSa=*bd~f3m?zFihd!(?9QspMoNJD*2gFg*(?s{Iw
zTpzO8k6E@&t)#Xkz`!Q=irHO#6$>TtfYdPoLw{N}=YxChXH->jwiFiyrOXAhxV8M!
zG`y8*5hRi9w|If~8KU+4wRVCgh-Tjyb;rd8^heg7XxXdZot$y|x|e|_#;#yX^Z9W<
zD^Mn%k}9vlVfk!=CS@FhEk*sxu@cVh5Y%yPU+fkrGGjV$ql@m1fzQ`(;s%^N
zm-nh0GiZ`xGEfcmpH^6gnrGKZ&c}RA05KGqozwu!2io1x%AUu$_o8$8h`OC7ex@kr
zbC&@lm+;@1pf>e)+#Oyh@sb?>{OFVY9=ZYqE2~_4NWRZgGUFYgVtv*fuH1iv8?vD{
zoQk}anN3l=ORE%l3=*_Ky9yTAwX2zWIqtbOJ@ay2?alIQ@9K_vu>$
zTE+>5^1Z$Y!%*%!Ygio=e?_x`X)FukYD8OB-r>sumc*3b2i=iL%S+78D3D)A97*rI0kZ=#C}6(MR;8Z`
zVzvg)v+W)qxNk{)5WXQHqS$zvXJ9k^V}%%EaAZ){tioSfb$%M8_7DMqAkJjYe9hDTknbuV!0$lnQ>KP*jWsOrF8VZ%@$#CIv@?DJ?(X$qa)^QI;sc6*DS=xCNnyUL
zR_?wfbZcuI=(qP7&z^0{_U_`@SlE%3@devUlW3C9%jFnY=}v|`rKaf>N0)Goex-(1
z^Dzs}#)u9sD`m8tbNDQ9nOXMLsEbG;4
zxg32*LeLiy{2}ErZe)j-*d<*~;qDJ4rps!>QM(DIv
zW=b`ZG*a?MTRpF_ZSF7l$TAg?#|GFTpjYm&1Gh{dGU*uDyj1dWt#rZfKY^F2gV>h9
zB~umX*73J%!viCM0k)g)#A62yh?y>ozoh8S_)J--+Z51e0NfSb`bM3=#KwjV(VLiX
z{#p8-sZV5StyfW5)NRhx#1nN{miN>d1{t9Jmyer&;7Xjnk3b7{+#toeQx5FkFO@1o
zlN)|0k$E#kxA^OHM4R7}9Gg#`6W6CXng~bUtzenjS-jia8Kv1>VR3oL@O177l)Gb0
z+9WYBD5JKpSe!+sfa4_aiJV!Tk&rtW8==aBvSGQEqaVa^AOcyr7xr(eFJH05uyQ+m@4ZkWyptE1xS*w|m8Ebu1@Rl=m0pwF|ahf0U
zs?p3AzJH-o*G~e|0~g}jauDhV&V1PM{@3rdhm;mXHG+uxJ;N)C#8
zX^(agTKI(pH5I2CM((>If3eQ-)3ET#e{WuzGGECaWT0O!6?LphdF_U9qX
zl-L&m?wOpcLMgf3LhW<@SPj5Q@V$=~XxK`tLxw(=9=Cw+=Zw90X7B>~XaFH3OhnNhMVbQJc0qYvb?A!sAK2
z&%9PaLWk=*NI19*+<*1WPkOi1lV#|YtumU8xgovHie~5-z{hb86v0`4#ow{e4q;Yt
z5_n?kc7Nj8g>}Z(Cd^xvg>Np@k4jHjaBF(auU(g
z#Il${X>eo|g^uN`SO|>@XJ46uRUfYp55mS=qAJ_15-ib8Ee!9Ct`xIf5phsbB8k
zxNN9bVs26ba%9FZuW$SQ>&ck~hoiih5{X&e#MtvHf-3t__YAM@uV0Ciy|?bCfle)j
zx6QZ}5rH6?kn)QURD=R-BR{f+(XY@YGXlw9VeSzn=uv!D=ojffJ!)?*Cju9_kNXi_
zyY%PcZN;gA6jSq3l>bI3?6^_2s%uT6R94^Dt@HhNQuO&6bxT(H%|9b}Er%bErEy~0Wc94L0;^T74;i4}9NK96*r_me
z75IQBp{(rSoEnfaGoEMUU&}483*MgSMfx*36UN_?x3=vvn@_?GBZDq8^Z2YiEg^p2
zGFYfl!7l|kVBWRKhygZA(s)!$H3yAF>y-`rSI5mg&&wtyNI1aV%1Jvb^XSJE5Y0-Q
zUB+7tA|t+AR9l=+%t$#!%tqzDqn33w2xNeo)K_fIN^zAsp3)^nhFVA2Vt|yi
z3!{99?XiZ=h7VBsU%f;`u%Qb|PWF|XpRlwLLmJ5ik%LkNnx1whkI=W-F?9#9l*+jie+jBc*(FQl^!AE|MmG
zBds}o@oD*&y>tD>Eqxfu?-Zu>W4gM$&X3a!!uJe;RZ?GVsmQ=7Rel+l%m}o?nIszM
zV@`fXJL}BarU1x!ALNPC8_LT!K}j;Ha{NC}D1#=R1A}xZAqH&p*TWT#yD!K9$ZW98
zruQJ=jY(mFW3W3fP<6vh3b-O#|JD;u$+}UH|ImmY
zJM8b#f`!YCtc~1B%L~AWJCfLf`_2|M5OqiycP?<~`m89m7oyQ)4*({vUwHVSqoJEF
zqJm|Jm!{RZrBK3soQ18jsCN3G;-x})k6gA~1yP5Tvq-|$*~cUSK}o|Tgb1Y2om*v7p?6;Y%k+LR69lCxldj^xq&{(g*=1AqrGum&3a~2~!1J7?LoCI+
zF+0D{dU^)>966$-9p!)H9Sy+hZXP&3>hJ>qPwv>NxZ!wJlKbZm6-lDV35>{tYIUvW
zbHSXx4V+<4tqFWgElK?eIP*EHP1dI_Cl*XyHPCxq#0#hoP2p%Us9^b@$6HZ;@B{*@
z)3=w1y5_3661~k?GXtGm$%4XLQukFpOEw@hKz`3Q(B!$4^9TSvdOG@cMQ&i*1t#MQ
z-v{}{a}fhjr-^}+d|4Y3Y%&$wLTv?N5`8t;{UO2r>DAJP;$jZ;SqQq*$pRvr+?PcP
zHE2!=pzHIu$h3h9LeZcCWD)DtxBh}E2q6;^O(!W7Bp2V^eev69HM>#J->SwvpkB>q
zqOcm)A2$h4H9Gc`dwa0&V`Ya!?KNFouco;^OPlCXRn`0W^`rd7mV`#&@^ya@sEO`c
zsdxGR$eOsJCKp4lGY>U)6C7jEgA}Av{ON0_#Oqo+&8-Fu-khk>y>TAz|PO{=~mH}F5IYH90ze{bLq8x<9%IU&f3
z65#48CI{BU3UBDZ67W`hYj%G(~+4i^YI*LmA@LB6FRv_DlOV?r3Cw;xhG&}~J6X9`Yd
z?eVggXYI{eyy)f+LlRsW^dq?}kNB>v!w?(9KzL7wYux<09}qk_s9I@b=+>O@!&XXo
z2x3?x0f}f4dYf>i6i6uj?>VL0*51NqH;Q7|B-y#5*cx`Xpg?xT?e;}E!EOZy#l8K)+BIkh_vd$u^Q$+_Gn
z-u}vPtDT&tl-D
zpD3AM=%NER^X>1cYXS)u_MZD010rM}Q0@+kl3`V#r$znmb){bFV$WA5@R9g)1(@q?Uh1
zXoainCOtS4wMsCU2tIePC0m9J|Rp@&V`;;9C7@iaSwd>mGm&xJ~A+s
zvqrmM?rtTp;_kiSn@&Atk-wF1zs;Xj{L;srQTEZXD897EFvT7^;;j@D`db7tL|lJ
zf|~VicX+RTt>?x$cGv%2Ps3YUg6)kpSbbA2rFWvUJniR(gLf~8R_XU
ze->SBn$Lv+Mv8;u(#RY7fh_}4Nr^kiR4pmN?jeG(p!xvtC7nX752=W!Q>u=7lIkYd
zK^fq*0FqJ;kax+P`At;zG#ql18GI1)d82EsMRWZr4c4_vo6g&&a2o=e$GJ9c9akZAnc
zyq%{qjew)qja5dUK59De+(x3A0e1KB!qlwq%p|
z1;gs__GjPyNN*C!q)SNP19R_0!gaUOhbZOZe2TCMAvMpPI{bp(YoTMnF=%|x`=(3?
z*mh08Y5C2@Fo^wnWcqnr>h3u!5)c{u+g08)0dmL3@}SZUlqhA(j`?SQHw&t*iI4Mf
z+F~WuF*I3QwSNegi^GDfs-A`I`hN4XEwrMlquNb6~
zDX7Bq?=7&S#Sj;&I1Bp{&jTlNB{%aiiJVxU=1tWEX%6}`d(_63WkYv=Oy>;&4&-fR-3`UYbIDvdj}%}s{d$0K
zR3a}f%wt!myU^|7G&D|fWzR5wUI6ZprbEgKJ12c&0%iJ8*kdKeYY_iy*9)uPzA2!B
zcl$vwQdLtMJv!WNZQ$qQ8!6C8!!9LRI(Nme@ZG+xXK!C{n(lg$N<0rJ3u=qr>|BVI
ztFY_+q!Q=eydkcUx(Hiay2z_Z>c`neYCWs~
zO;toUOnYTqaXnF0+gn_dU%O?;!{hio!Vf>!5h5(H(^c+fQgSRF(Bf`Z_uZqp!k7`?
z`C8Z-eHnrx^>7r~pp}a{h$6d@N(BOH0`?bYY|(PF-A7o)kY=WIG3a_~`?>)}Jvx%F
zR`0W>L(43#?mr9jf5o`t;_O@(eCXvi+h$H`5y?}DPx$!pNuh?D+eV7591%OpB;lTZ
z;Q~{IEVwbc?vamE1-F&B%1N^HgU`$Dx$`}$?Hie?cb|X~C+juCI8IH8%yCPJ%*&~l
zyKaoHhqNZHKU>}V(c7ZABTdpSh+iM|SRb>2(gK-UPEu3Gx}VgN4V22oMK;uv$Y1Y<
z6z@+KR`h5)EEx0?Pt)L3jv4#nxiHom{gxCS8|!d#dv2_Q$1nQM
zsUoG~7SIBW2o3Xbv=H>zmx3MikNm5N+}zC~1j3t|rb+}UBFP@mhk*km2HJ8oK%>@G
zi|0AB&`lW`bAObt;Vb0Dix$CL|_utC+yuGX$I0Ya}`43e;0_
z*-j3+fW6R$EA64j)oShgN4~wG#^EuQ2u6+9s|Yi-4(T70uB3!;!T!3vuOTG*1n>*R
zkf^*{wF)6L-^Dp&bDl|mdhv|<()t)%^+g)Z!ri|1&=p}G*_k?`wkVD%CV7^y9j@OIo*sMY2|fLskB#i;`RKp^hlf_ILU6Wjt{!
zw30(H+;Md%=fUI(XkX-3LI19{&9MGRD!YU2qY7DN0*eeQEhPQclb8F`3QH^7rdHbG
z;^IKb7y>itkTw4D6txeg9DX`KwknhGBl#~tNYKcdc9&`P0;a)g=X$xWsVRR_?>PGy
z$Q!63-vke|IwdGn_vP~Ne
zNFRi`e}>8rhrZ+-r_q8#)CwrV#DXK@G@SdWY5pDmSneb0QDWd~P6QT=C;%mH{f)9e
zMWk@xZR_#d8PmAf0?&5G-Jnyzp_m^lky_U-mD(LLpPiv+#Wt0L@=CghYD=f=uwT1DN(~1S={@a0P+D2Sl>eUu
zCHs9$euc3{=nUAq*JIJ^QrBV!b
z0!aRkt}eo~eS*}Qgcn;&x`tBg@wh`p
z-@!=hnutH&Ks#UuO+@FMcbz5?bRPyMnu*!fY2N%o!M=tSa|6EtAfHIaKuEm~wSsNp
z6BL}_jFlc)jQ`TRGy-f%xg3;rf)>Tm4F4HM?A35E7*e}+;Cgizc1%}mt&OlL;(IcC
za=ae`&${P%NETj0Ysk{hz%h9vl_J;@bZ^p
ze;o{4Z?XUkYrdHn^s3wPgYHR#^Ee|F_o2>~g6ia3r-veO9$m;QVux
zMzDxECu9aJGm^{_6aoA4B)jwNKlM=3{4>K-xGO$gFI-BO+#1{d>=)wXWA^=oFjV`F
z2xvL*X%g+@S=$y8cP0r}!_~0gc)$yWt|=+OyYM3`I0|-%sy1e;TsY)~F%_zU1*V10qO?V765-OPox8EmpJ-)-bb*HeT
zgwN^=1!*}EpwpC8rwdD&_C~xRVW@
zqZm_G+HYK2`Xw(n=DoHx!7hcQg171i)2oYcCGK*e<5{lw!Be%
zLCz&2t;~}`G!3GTl(xLh@~_#RsqXFa#|Qr-u!*ic2bFZGdp)Km3!IPf4Xb$}e|t;=
zt?^IIr`#KK=N?
zjc8%34#*cXp%JvVeij|_Ifd}%m-@3sV=sFy`Mai>%K_IzNzM7m$*aC;4%Zf4>ONL(
zmD7BfDkw;H&6>(vkg39Z{~xV1MZ1!9;~HCn+l&y$tw1V+ck?KsRZ!EK@W)Jh_Jiq8(J1GjfdWkzp?KJqd
zwD_M17LAJRmUAE4kxZY9g-VnZZdk%4@d{^BO%rw~f?`Wynd{Ix(3
z4{|U6+i@potlCz&mAHqDo|(~WKR5xuna4=aVXtF*i{=iEM#=B0_wQQwf4@R~zhe7t
zI5{~pdd;mi?Ev}xsm5e~0kf@&&3iFFjddn|gAchkb042sv$GEgWuUU_VYxQ+VmE*_
z>&zx>3pRVckuG94Q^bQ601y!=o;!D{Oc3l*{29i!8{+jNU)d!jB+}Eo}$KQWuGW6m0?;c4nnE@MdEvGXT=5X{eq0$_VgtT)k
z26uL?-*pK|UF9KT=XlMakgR{yR&~%?!l0lBm*Sy#OqH*0_kL+{(TIj8g_`cxVM|Sq
zrH95Z%nw_6!*i0tf^Gi9Y`*p44ab&q3d
zM#_r1E+wWaDTTg~_MVTh
zLTyD+7&+q|))E%7Q(~ENx|X5T#)ycxA@~CgU~`T;C^2JyZ5+S;QE$JkxI8uJ&!ihz
zEPIJV%X59hl&MLi=IWxxF4jyLJYa+$HI*$3SEbpMcKz5MKUek3P0~zl7_Rb*pVmq<
zvs3U(0ft#Kttc$8jD5`;9wD$zVFfB=2y(qrgZ6ClU&H*eNlKDKzRALukQ*N2;v?>k
zAoMxfXOxenPe{X8heP+R4>s?rv+srFSQ66H{H4UZJ4eGw&>!OPr{iyn80PWDqZM_Z
z8%@c)vUPL%>h+?moZE%9b+vBp)|s_QQhbB)97A3@U03A{;#qGiIeLx!tx!f;xBn0Q
zx|O=2O_1ZjIiZSwNpxm$U_`N{WWfg{H{HM^8g+NU@$oAw$xr*^hmMS?lVQRm!oT9*
z!o1d<3SjlliwM^bJx2htrPe--?Y|+ugQVaoI&(-4o-f1ab#(m3$Zf(3gK$&;JwGU
zw1MOYOv&_Y{}bW|_nEt8wmQxn>xsSmyn%aIj*l9vKIGl1U)Q-3-Y`Zg%E)B8U7F5^
zJknpcvN&=xa
ztEflmvLblzM>{@nBcDhx$<~cvv#~8ETo10`f-FXVf52So-pn!K5YwdGR6-~U2{|{J
z_WsFRnO$q#$TC%Nak9BQu(KcPZ+JAJvRYn#VrQfKwVV>od=dL6;XH~VqzRq7TM*+_
zZdlZM`UH#DCohtN*-
z+pu)vN}z0eEdF$W|F=SH&1~2oY^XY)$|0S5c^KA*{2kfdQUv@l5efaQyq8}OlqjDX
z@>6E+w$Ttgo4$r`Y_)R{r+oS*C2ejkeTZx^Sl(D?V=?*gF)QPFctn7jqJp#AVCSdB
zMW^ZQhcZ+Y7vrbrZ{+`8JMQ;E>hdwyX&!Ry^Op$
zJa?ItA`m+gMMpkAferX>;kD#6t%p|$mWe;f=Z(lyReiYuwZSyp2znjpRgfmot=`?m
zW%5#1&hJuBu#AW`^zh!1I$jBX>3su{IH_GN-N4zskYImtPeV_}n}BT2@jNM7%hqCr
zl!{p;w%#Dg3qM62>I)r0TXm>iNa=tV{^$^y9rSNEv7v#{Ll+O&q1H!x`V$WxnwkZg
ze=VKp1XBcyx@kzfj%OXxRb>S=YkG89TT}Faoj258VaZ^h&p1$sp3JZG=61wymr;U)
z`c;=*gAw*6llJUU35m=?vdSB|UQxN)8>V488?n54UxDrN0;Vyp-jdVBkEh?~8`)rd
zEI(=d@3zNSl?YqgV9tpv8$}f7J7V9`*AE<9zU6^;u@0&xnJA3t^i|#0vKgHy-AO~Y(
z4-&MN1$8XdU$T2Av(R3{iTEYkp`w~DZw7R=rnbf2@mA@BFIj*R$fWLMq!fbz
zb$KssPTW0LD`s2*+f9cr_l?f)E7b}3Dj%F2iFzFg=IY?Jg9xR_ojA+w6!4^tgD<8`
zlKS1PAX44xhrgA;>c5gP`#-`2+sNdOs6O{Sr{%1M8vZT=aLi<80nfaB7xF9#gjC_-
z-5vRSDU3hVI?};GK!^~nG#gTfyBnEk_Uu)`Iew_AH&q+<84md=qrw2$T>rB<(bVW{
zr$egHB8YII5ANy^1!Y{~5@djs&s*xkgDx>pO5C_7v^gv+$?|-*Fs6v<>kRFsp!e^z`f1G^U!l2lCHDUH>-2+M9
zUW`M39#a#W81O|Ad%mXH(wwmV3Fnv16j!N!*W2XjOQL2`tspa
ztPobO1znbF`F&9%+;Yw%gRP)m_Qg#Nc)p2rI>x6e?a^zhdM9Sr&}glTUlO0?`K;-R
z)94MPueQ^;Am<;i7`S>KJ;92F?>|G`;{RW9KW+(ZV=~PihceRR@2s&s7qh#gisORr
zFe4blA@;(pR=dU^>p9v%v3$e944cGXfyQB5g~aQ8P&Z@Kp1`>=T0|V2Tu)WPjvAV*z^1)*>sfJr
z`b_7`ozUb@u~H7czI}Fn!rL>sC6a(c#(x**{r_30IKqhZ7NafCqHV88V`~dtGwJen
z0fAy)$<9O$Od}z?44%gi%qy&7i@$|i@ec3Q$^*QdT(`mX>w$quWz-V|EW5+
z{`;%nbZ20?CYW{OyA=^RBlFXUEXm$%IK`H5?*QlGOh2T7w?ixxQFMK)
zE2)AStf89@0~B;u*v7`#zYJkygK%c<=869T3N*VD9><2JJ&O0F8T{5yut==s7yaAU
z>k0|*-YDm;o1}bw#@!!!7^iH~DyylUP)U?h)uSnrMFZ%jD&9*bFy)wbI$ln(vJhO3
zF?JXe6dV6mSLu0@N?yrq;zt($Vl*sgZ3MAwXRo^C;xA767Gq`>tJQ^Qx?k$x&QeA=x{@-#)_miV
z!EtuQ(<{uCfyAHJMgyO~r4BD18=dVB^hFa>{3-b4)(wIb4)-&eYk#j-5M~1r{**!Y)N*S^f(BtffN=B(lEJa}VI=710Yn&ieIap=pi%#R
zt!prIKBofGBQ`Gy-taQ1vR!A#P2QJ5=7pL5SZum(XnrQF5Iqh9Z1R~)9a6nQ0<4gf
zl+-)zrbG_Q+1OWWf8<6RQw6I}Pw5w}9aNt2GA39rkeC}97ZVZ0&A*(EFQGCj)0uwV
zRbllW?2BM3i{gpI6Hix~uWeh2UP3EHQKqF}katwIXY$KXuOfC!UeJ$2s|g;he;&K+
zEd*p&$Yt;n)0wjs@MwPkPPso{8wn=3dEK9nNq2O2!!2hhv6dOKCLhcMgT#ThX(^3$
zi(n$Jw)ZS~h%kRr`Dpk=K#iX9{BQ`hv0mNbA#Vgpq%$VfBtfNT@R=*yd9@jaI0C2n
z_jI*jsbXbp9m1KkILR$MXfed}pYwPvji(!9CXXP)jERZ4=)8tLl+541k!@_ZauV0^
zbbvf59p?=L=SruwRZ7G;n0y4hT!>ObZH}37aU*jn*b6dgVRUz$gBjm4cwWU7#JqX5dPWB>3?T<
zYX96Zx5^TxJVTWqGa>XzXIm&fo*)|*4I3Wn^Qz1qPj}S`BucT}M~Tonj142hqAV4S
zeuJ=9ZzQpqD)nAeeW?2K(qQl0jbN(Foz4yV<4EctrNm031nDI>Av=UHW=*2;?C^Rb
zn>f{gu24%$Zg1J82|rC%N>-0{rJ)WgLgF*M6p{f_mX^FqLe>mb2q-sbNdzlgyhqo7
z$GTbWvGJ_M|2&(bIdHF`8A~!AJ#~B0wlp}g+Q`pFh#O4Yn*irpzILiuw9wZgx%M#y
znA9vEgvw=%0(w6Pq4oJkNg0COHtAt@Y8sjyP?1R;A0M~e3`eh&3&T@DsqoIo2v>Z_&z6fLWPF~Fu)dxdnB$@4Tzqn%mr@0e
z1^9*ic;;H+A493rL=vjiwQrB*lbiGDh_a+gTuw~fGKpCq92ubof%9Mb$D-xZjX?Lj
zIxsX8)2x!vr&S2(M@E?$7#M15KWEF4ecbp2>FIh4QDEic=eM!7g?&vykvVAz$BGMK
zf!I|a8r|G5MNXN%dUb7mEc0mh&bMS8J6)e-dpa2ep!UwuDr9f*p&zGhhaT&M$X)D?
zPWoCYBn?ehVKYj{;Hn@RFN)DI4zqOYTN#er{lv-GBEWpaK67%|SWm~4SyJ4+`ULp|
zYV<(hx?^JSLcE#;#igV;;x`yzUeEpV_fG{Q4IznKHs2XE^OTO{kle^_{Mr~MD(Q7(
z6e73gO381WJ9HW#-f$<;;3#WRm9}6GoRY
zTY?APJvKcdr3Akc_WoHv$_z4(@~0J3obQ5=BVs-?=4&{S&MdrF+*URkQo3YYFCw{~
z<4M~}U0^5TLN9U24-2?_ZUmoi-@n76yknDko>mo3C56|DmZ-VbV1^7xWIe|seFB)4qW3#5E5m@`^bt9|JG+fUK1g_blqCyLyA%ROK
zbp{bT>PrOE+FCYyx>-t&1{eA9ynxKOGY6hYKQS7u;oTA>0GC))^w?<_;XZMF^_|cS
zr)Z_c5t$oWY|Ph=3e^11%PQSK!lbh6gY%yYkBdSJ%G~SfH)Y^{NS`k8BBgG;lJ46ZdXJd;oLi0}n!q|-O$Dy}xSqeQ~kIf>|)-(?n`z+yjBg1;GCx|}3o6=i^ysB|b3a6Vqndu=LI9OCY(SRNmR@EDVe`UBdu5Jtf
zFLvcFLn(}3Mo^E?VE!TwtT&Bx3Ds!Uow#l2K{=Jv}OXG8hY2$MGuQ*%#I
zeR>wx;ArQ!EN$xQ^R4+{w!bM>WseFQ`s+Dw{zd!*0}wyum8-o}Bf?XxC$0zF=k{Hs
zhRdxM)i=y;G(LUVT!8Z`c{s&6eL~Z5F=2z&FwL0zA6TU^D?&mj_fVs@*3vqsMASE@
zpQI9HE7*r14V6bsh@?%@GlBmwtdi&d{UJV8-vycnQa#NDSR;usSCR>y#ov@9lMZPn
z8hJ?Pb;s1VjGCQUJ^d7|q|_)z9$uS#9?=DF*=YRS=Bnh}pFkc;H~vBmk0kf{78Fq(
z^L;XW|H4umu9-fhM~7(y@MCO*=vVW0p=sueZb!gFp$`oWt>c?ch9@TvO%|%VoOI$5
zFzG-%Jw0n`YDTIo)xki)_QgiG{Cn|LFtHXnSky-}y;LR8bh+i52^%4a$GL3z8W`Dn
zvy+_?%VLNUOvv8W+39zAFn0#Ro!x!S1|=m3{r`>-kHs6U1*ADjem`Eu|NagG_r6I$
z0@bX)qeV$HkizNsEE9P8&elNYLbYjw!dCi(auzn>lk0H$c$lv|0^wpDM@;pW(0coG
zvxVNmII=}ZKvirdz(h_(pB4>62)uv&R_NS=0|iQYTrjKw_=IMHrYj5I2AUS7j
zx_;wzH@7rhVfu1sXUEx9Y5!VHB73a#>xwW63Q8=yIW7Z(p*hdy))tuUV0b>;)AQ*K
zIk{?sGqcCtrQz04(s;gdvE1I|-bDbfFAgrQoQ#Z6YMjLdm`BSBcvo-={jWg4rQ+jD
z1Vc;%kY7@km`&uN6ssbs=MhWe%4UyWLS)R$XxEf1b$06p3u^Iu{W1)MBjr?xNID;g
zs$MkMHjb)s&@LB#^S~ZlS>68RCTN|!R2f4+RCT&P#9x3B_`3MT0%cYeCfjV?LhRl5
z*}t>(Ci_cQq)H0q+eS(pL~V?vyNfn8=7|y^XOleTR(;NdwaNpZY%5MBfBS?(5}+CT
zM+XqPUwiM2WyiQT=(Z!2>xYsGN{Nb&GO~g%yz^z)<$PQA2L`dL*nL5X^NAj%M63+i
zwftgn^JCwy=i~-IeR7m4w|d{~2F*6WzY`QpAz(E+zMC+o?0(hYm~>*!L3q%>UT%kI
zm`mUe=9b-5
zVMPsRWOP{iM1%H^zK3?_njdtR7Ma(LmX;_Gc9Rj1>mWdmTM2&7H{S5&W$BX6Hx(B+U4Xg?4^tARGUxkY5`YWq97CJZAm8!Is!dh2YsP
znSR2_|Fi&;e*_Rol8x9Pa7^hRcrW?5(2oSC>}lB18*#Mjw=3*V?RnH(Tu$3-bgUjN
z8B*qobpu-3G?SXJ^BLaL0Xg#rWvoP1y)R=G@VEwJ0tm1W_xjT0iPrSO8;)Z%dqx
zv~I7CFk7I5Z6u37#Q|Q7h#JL2L`;m;Zc~Dg-OM*VogCC6g-YU~B>dnkIa^y>A@^YD
zP)(9JZe`*)2pZWOh~A#pD~O%?cu4}o<_~W2kA>e*oU@FT0n8chGiCJ^Y|~f_k!Rv+
z?WC}t-s+5YWGAlDh02)J4Jp{iXZ51u>OyzeN1mHFrDtWDC}VSTbb2B9Ieq-!`SSfo
zb45Qzb){Pr0Pu9q4MCv4NeXfwN`cXRE<7sKa_
z#x!aT11ZtXmf(}B?f~$O;sTyPSwPDlqgJ?CyOq4w6Haci)YSO*DmM?90+>6C&;lkk
zTSry~{xKOmYBGX=NHNdq%XJI_8Evlk-ws68<6Iv{kgfbShmZHS3d-0d-0FJ@cDk<9NgWp$y5k5
zo%klOs5G%*y0>Pj$dtzi?$KU$P$M$!&v!=+J*62*L*!FKZD;B4_FpW??PS#?(L
zG6{=*7OM7ur;*EUjq2USJAJ)=caoU6&Y|sm3;zI0KJKWz`$0DzbNsnFztxi~Cz&R{
z{@gc8C&HS
z!-};in$O%gyg%b26C+VufD_kxco6bS8w3IE-h5jqAC^0F5TJs9Mhn6%XDG~6=1<<6
zsFbt&y|udC1FE_+;iJR#J$vl!iyH2@!*@_97fCkK%np*HUTt-Ka|5QQcHn8dzi;+@
z_%Z}|+_d$zleO-IhHhYxE?Y@Xc@9aFES2P`RTfJxE5#37^M3K9+9SwV&cbGmn&9);
z=Kw^B-BPdgOvw~|UZYSg6lCwsnzdbj4D*8>_ff>9bWdlsRh`FeN6qvB`djWAaWi>H
z&$m}e$D_f2b5fS+jdd90EatTm0Apl5%aJ)&q?n^W1>j0!Z^XLFXS_uUn=~H_y
zhqYUf5wps7s%5@(%0*$};oqdPKNL^tGvPDgqZO!E7xkIb^A~eZ6%!4YU0q!<-Z(Ec
zc~F?kpHczl^UEGy8+I?$4^&yfz&V2{Ue^cJOD#G~wVhw!@x7}N&Ot-qadLH8g4etzm7g!|+FlNZy$Vz{A+
zAHwCr3WGD!)g9J20>&*By}%&i&Oz*dO-Bm
zR%^HQ>C-33GKd_UE|zj~FM!rZNETw+_nU^YJ9|<}ftbzLFoQn~yPO^>0K1%E
z-2~Ip-tHsdA@TIR+@7AaP|4hOzS4Z^`g$!izhVeDvuO7Q&j;6ZeKZ6(=rH+SH(ih5M`Q}vxY}kq~_Y5yQ
zCTMZQyAb7vXWS8j^CQXoDTDOvexHUIWLr^UC4`$^#P<~!H|3))su_C*Hw<_i=0i!^
zI=S~v!i~v*{o8J~pr|kIP%sq$dlCM{D`|-dfoZs$H5ZbNmNGFh`3%|a#MAC*m6!sR
z_tUM&CeRqQffe@Lly_ye>b&OWjyr08N(LFJa_zAlctk;b@)Qg_FR|VDVrv(;tB;F|
zYkRUP0_NMd199fyVm4O~Jd^XW4p6y?IXiQ?xVTVsJMa*LTKtuuXCkKHeMw&{9oaxQ
zy-wR9Hlnwg`lYn#)w3!ijlJksjW&@b8Q5q-Zrau$G4YkhSwwqwb6fJ1YC5pk5E*ve
zfwIMWdvn@;tpnI*EIYdPJU6lI%$Lh6T050EsNzy9E0S})obp_Z^?$iHgrr-vv7XzB_yC
z95epcMj_vHMK#n3;bLQZpTPd)s{MUol`BJG`p(j{iay{_*J-xn!{W4CnlY3uz5XG$
z9Z6YSsGlb@s%0vN=_?7mb
z$}UMDyUv@b;|IA!fl6uHz9SoTpVBN)&&JgW3(qq^E78nzYhklJTqcU5jHT6w_U>Bi
z2VBacnT{pLgN>{Fsewrh*z4VK)msMD-n|$bK4Gj&Dp8kHioo6z0&i8lx>D?Cya7Uy9L*L1}
zY1m#si2lCw-gqgxVx6&ZH+xJ?GG8;eIxl^(-Ih)Mvt;|+C3&G%Y}D1*-U3kh-*JN3
zsaPn2hXSM39R{PaNi$RHPaIPn;_M^pSU=-2k?lv?!@OkgU07&*oBx)dzfppp2oDc0
z((!@9stqePRCC!J)KwURWjVty?zbW;hxdnFU>`
zJa3>r3(w~tp*jDE2L(KrG^BdDm;j-etIl3l@0(@m(oSQ>Fijbi)0-LJ0OIBW?z1gt
zL1jG0!PtScQgSH%XI+Tv6#U~5efR8e`O$a4Wh77SeKc3@gaoEpzVp3L(yZ*=7jhJ6
zlEV=BPZaS9A*_VX!3A}?)x4|xYfvxUxXq~%9|-cWLf?k!EONigS@XS8pe5PG?)Z>o
zAulr=0V1caeuv?UvO(i_P_j+j!)>xB{+}=T$AV%_h$K_D6^(Du>*UtfDuoQw-P8n!
z#wbozom5#h(6ie+>91Azv$4oe*VY>Ib4Vuq3iYc>5S}+hYbm_HXL+v#T^-v$;35!O
z-pj>QdxQUooQGcXpDpK98U@6QvX)k-a!k_X#=gqs
z?*N&|HAms`B#$!wT;qEWsUc5q>ChBC2bH&=5`r0-or}ElnLTkoI&|hSw`dY2%M*9D
zr6ql|`Cb^4_PKxX1H8TU_Heo;4@iZA5wU$9Wy+bejLqT_f09Kfj98O9Pd&tno1wJm=oA
z9cTSvvLfaPegp)-StjIGX33K!-sljh?uXdWqy8vAHu*;8l>+?(h)J?
zva3E|D90ItB-X{XrwV$(V=oZX(c1HctEfT=}mGm)b)5m4lO;qhf~7>MtW=Biq&CZhya;B0#ffw)fLi)~kt&
z^UE%0^@-;&lAGgzA_YTG<-w8gP&xN5i}GLVmEHAE!#~htCo6lHK;&{2auo7-t^%dWK3;?Y%?8v`RsMwHJ=MA)
z4ew9uJI)_(O1hLvhoW>7E6_$u;CBKJ*!{ZOKf+Q`=C}VDh$juB&6vFD#i!u6MZI(e
z8K~D&5FeL;gahOY!j@!6=Nq}@lsHahK^OT*zA5XYB%VyPDWDpcaL{(fGt
z!TMH0A^=jk5YXWWkd$%M
zY7zk|tF>qwU)YK=EPrgYuRpT1P<^DMU2~LQ0oxE8K6(%1a;8*%o%$Vi_}w
zEBE?hXJc=mr$a|M%cZU(R&jHn20aElfcYh(KLn>R#-tj2cGV*Jsc%h9m=K@PJq-9t
z`_Q8Ko`H&*!GelT;~{a#r}1CHjSj;!6zZMeB*xMI9R;FGJW{>vRJGTH?;b%M2hq`5
zTIH_Rq~kRYmL0M8OB-Y*O{di?hc&;Pf~pOc{ddUc!1aM7b5{JHy6d&{OI^-gTf~z1
zRb9hCCp-ETA9s%e6j=Ci`6`b>6*(ye8HLzc!WnpYrC_|YGFNspA@4TJIEeggb#B)L
z$h}Lb{?9UEc)cfndj=EHknCkBjV*LsGD5^ET<7zoiLiFs!Lfa{ga6}~
z{ZnzO^0>fw!kLV=AF%t{9}r$-
zNhVdtmERa0h=KZ2{*D-+AOj0m#-8oE=!oeNh0JSFH+j72kV$XC#)vkOC}(
z@p7jX{LN*Pc1{E!843ZM{E}}Xt80_Ihc>`Qem1Lj79@bnx?k^_l%T45U1L(4Z~77n
zqpfv}LIqS{o6n=-e}G$T>?L@JY9?Op>SeidYj*w>fnHluBWvgKB*cteoGPeous3&o
z8YpRiJTuvFt4%^{YjeG0_p`pZS~se!stXVC5`eZsfh;a2%y&rV4}iHTE6v*jJzRfV
zNWZhR&&Lh2n)rTQV4-KV&^Gw_!=KO?g9l(fOrMLVVxD;^&_-!CJq@}Y+{`ulezAEx
zZmxDi7FIxo-g8;JYHtsqW16~p#pcSOovjbVa33==pj*gMjLr+9UdvEAOR4{P3N%9R
z1WCICe7`ub&Xa4mD`vV66z6GdIKtIDd?%jf54da5A*z&IML
z$?D3`x1UFAqx8HpPsTCDf7RUF%1rhb&aLIDl)_PfC$Z`T_gl_LPqp~)XM)~E3l=OX;KJ4AyA%Iu
z6W$}#2A|di>Kf9EEMa&7qDSP05k20^Y^dpsy_8bhvbMl8WA8};L*%`l`0B?)MKr+t
z)3>U%>e~D>^QZ4d6u|dWYtRPrO5Vei0YGoh;1GWRG#02X0cpH>7(FOqB$4Ay33t0g-BhE#6(Ay0W;a6plT6h&xO4=X?qN
zeG>YTC-PC_e-~cXJZcz1OHEz#k8wlz-wNh%h|`@d1`5&M$jd>YK%4!{ar;I7Yeb;$
z30Ka66WZJE$#5)$DsPo=()m+j2Y{|OpzFuHgwEYYevsvY@X3Q;P2|1(W7=u!PYhf`
zI2UIX5<1{T@yU`}0LMlt{Q|hbzqlptNq{ic$S7*VE%jq@5-;yD5u#EXfIhrC@ZUL
ze){&gV>*K+jGgV*mWkfFXZ(zXH-}0zNP0u|
z4yro?eh$Q2e{cdo=p$h^^<(F~C8&61^A&*j;Vlb=wM|0(v8WAz
zqMr&`h!DUH;7MtS
zYawqwd`(-qk2wR}hP2(V>pNmn2|>Co?6$=H@50H8Cq#4~$opPl0vHbn=2D1JbuThX
zf!@skBy{fQ-N=TVha=B-)eqBv`xcG`>OnH!!rsV_)4{6{8Oz~E8jd;#R3k?WSf;s!
zd~=`MhS}zr8MjU&g9v$*9OuLH2EG?%w3FB<{?hB(KSNJCs+OF0svk1e*GCGH%idIz
z5TcLy%*OM1fpnSNOG_P4L;Gg8^xu_>wnF!8`m}tpaPhqXD5V5cJ&p{_{<3sa03~e)
zsHgnWMCWO+BCYfN=Q(->aG{bEUp<5BG1_q7!hM?dtE+g(k43q*9sk;pm~^w$%POjU
zm7_FxqpQJWB_(Bal$mi+S8Fb3YYP>$0>M08(3!oXXrWwc^|8av@WO{^=r;>d>r2?%>=T>_B6)F2-3sLdRua-b4=
zWH*2WFD!fs;muJ1aW+gD3{WIcpeY34BZ<=Z-ie(9O|Si@;eO-m;bwgFN9?5G57tb}
zt0sKO`}@l+Q|V&ILfw~?Ti^<}cdlcLnAZaYLR+#x1j+mzkB8RDG|(u&W~??bpK=P+
zz5Yb~WZk51e7$d1V;m8zObdc@QG}%qRMdj@S{H9u4zc7fAc9D49K`%?`GNE;ozseC
zb*u6oMA1dUk?wsDpj-sx;rh>VJnTVU{v6BC2qQ#pm>`XwSY-$FxAN`9x`75P^3060
zc_o_FtS|Qh&)?~Vh5gFOie$uT(wF_e9W6nB&9Bpt#hP4a3$0WP22EPPu~|IxdZIEg
z{xE<;P3=nwv#j5QRSzI-U3zGFXaO{#Z4Bd`0Qx+0JYrREP!*ANDh4WIlAZb1{l-Uu
z984l|hHxN}bku<3RMt9LBBGwXtvt8LNvqu4u?NLjl~l9x==EQqSS|qFC;E@#hG*hnWwezQ0ejZXQdyaVX>Ob
z(`!e&dCnnyL3n9=m0v{kG0);mao9{``2P|3694Xe^nXTN18<=iyEF8018C99SZ`?~
z=`8|x$7;y3Nj$R6{RY>02|GW9t0`iJ3lK=ReQVY2ZJxP3{oLbQD`ra
z+NRSd5U*!vY*dDyh!u4+J5C^^Yc|@u@@psawC7$wtCDO6?*fSZV8{Fu=;bj)`Bp74
zJ*k*eU%k4-Oj8*DOfH4wogkiQ@^{WLYs~%j^r-DDsQXdy`{$S6y7)p(0PS_sV%=1(
zf%_LJhRCVMKFxmRvz73*0@Tpe>@z$U$8M5YkH+7bTYZyv1lS|fdAO%O2^?gs&E9|k
zkGI&-YUl$B`I9S;pWo6BxWuWRK|$qg7G)~2Xi0p(^b8?XB9onsUMGFARh^ZkYk*WT
zw@cvhLV=399$Y3eU;57gMnQF8hKvtQB`g(d$@4W8hE~s<0Tl>AtsZ^q=dQUz~HNT|=C4&xut?n~j+$|?tnKOk@hIjmUeUk9%-3l$7WLwU5LZt2*6;PP>
z=s%cu>;#AP8(=F9Pil1PuJ2SEs=a~hc^5Jo5~sD{Hr;lh(e3fx(sX;X3$^}A>3;F}
z*n1|lbbGP)UBo^qS%H%LFcz5^D>7uJ_|Ko$44QQx_4M9=*Jj_Tlz7vtSB1sJ^_J+i
zJKr5t?<~|;cbbp={i{;*l}x?Lf{cSB8a(sHtk>}?qI7FGWvidD+2HQ-prf;Mw9dgC
z%nIlN?B35%e~e6?q!4Y-8$VLd>u&%<43CKs1CPKE@Vl~=8xK=bQ}=8;Ob#jDIv5xl
zLh(fotNBlW_y8}$u7DR%_0P9Qjh;vtHELQom)zTjl6Y%fFKB`ALvJ9KneU|IC3so1
zlX9;>T;WIE>6ktG=PzYeb0IQWT8*wIY$7vcxw*NO0uK{wOGh?9hD7eEm2c7jcmY}I
z!J-ns{0gWB2b}A>#s2r1Zw!WfC}1*w&ubj2HN}hP?idx{@j2s%I_-6IuqR9tcqoq6
z!FVQe#RKV!xWE(<+J4}_E}9o*cE@%TEH$Q(c6GMO*j%y#a+p8Oz>{dGJNV^%qNeut
zhHTFgvu&3D^~K7XS#{%Fi*m9kc|o?H5E?4|`Iw514waL$damKk#;KOuBhci@B?{hK
zM;$%K$N!|DfSuy?$PMt?#8GDO%I|t+j24T_0pROeS%>-LH|Il$d66(Mx^$S1Px~3q
zploYnwP^avNa~04-HH4GnLiAgmX>;yer(Ki}}a?AxT@{7dtDaE3g#*fP|fSQhb=Jl~sE?;3p0I5sb_p|&T
zC+&X}VGa53Ay~QIJF@ySz#TJ#ccQK4Yrbg}Q}Oa9fDsQc&@-^RJvWV<5;z-R9f)TS
z1a00xHv#l*%gZ_t=w<|N)?f12Z?}Y#i}m#OzAv7N1Y#s0B@p-Y6!`E1jf}N?-|YZ2
z4BKpvkb!?EWMV=M`meVyTmhqtjE=qm&Oh(?sG!UaCxO)%158Yy5D*|~)RLBx!T_%`
z!7mSTF1@9vFKlBc^*DbH{d9!EKfnkRAbAP_>jVOpU%!yFydEx4RBaSBK}!b6AvJRX
z0TFoA6|$bpp1|e0metE#UT43&(ZoNv2u*XaRb=_xv}+v?fg_(`dC&^!Sk&3eqyv(x
zmcd?st>F8(c?K-&Lc88+*P)>eYvbt5I>CQ*fkT{BcKgZjQ0@yznIJK*qXA%+DOv&D
zjt7KRA9Quez$46WL0hOk5U7Y26LZ_X4a8$CI(8Ty7%%`m*4MYUwyPb;8XAvg^K!*n
z{3KrYHugNk;Pqf^!KZsxuy=ZHuls8o2;hSDSkxO6lai28Q1n*X{5TTwr-KMsufgX4
zH^r=SAdx!~{QYAf^socx3f`1dwiN)l{adbl0!ZB*Xs+c4K%WDM!>fPC
zLZPCWpT<&KePf}vr=y59%^%c7=IVCq>(tn@o1+ev#1qCUUt-Wkr8z82R3IOC&?)~K
zg!pz)mAzq01iS*b11pRN@%~cjsAUuuffl3T^bV#iQl4($VYH+kf2>Y~
z;!w>F;FK#gxgEwvYintlJ}IFURsU4xvJo%_OMHBM63OO(Rfckis*$4lX(YNfEuV^~
z642(c>9n0^y1Rb@(FIg}9?hsd1fs;ZG)q;+hGSS@-R(gY%d
zX~{(8Q`ZZ0n1nxl`Lkv%N-D16eDGb+84#d1m>Y|Qh8#mOb2n_)`E?N<-6UbFYnj`93){
z^Y|g1<-kZ|ld}m-`=>`L(PA~}6bd?%+vX!c3{Z3X`Bl65L+@)%J0M;>Se3ulaGB`l
zl_%sDJK1aw052~7#US?9?!v6|ut74OO?Rfu5Gcs7Uc6|7$~HjERV~qh2`1v)Jl*IA
zH;={L!{b{s?E5eCAr7xZNIndQ6~wqW@JO5Cko1duE=c
zZSXa&IYA*dKqq7!Oo=-?k2yy4AE+zA6kqIh#&KhwfVNIFvsqstqlb0_KjQHPv4--0
z4E^z_viDJgk8yv|*f9tNTD!esmFK#1?3vn$t+HZee5gtxic>Wl%G}&MEpG3|uhk^y_^F2N+TE=m*bB1PDJ$3!~C5|%$%JmzA4jmx|*sVmgIpbKfulA)#89dK}Hfg_GPIFt3`m
zURhSx;I8*xl!q=@tgk{6QMiUkV*tlO&bgjz3X
zCW%v3%X9-21~34Q8vuoN>Wa<-Ft@wSX;4}zXhpL-$LQArKrvazf&5h6@+1c!runXy
zeJJMQ!29W{rFtTt@k)S3V0_oj)x`yx=t1fn5Bh+0_uohGadO6#lrZ7GQ)vODd%wnA
zvDZT&(1-d@PphCjy%Pj#Ngx@cF%9;-T5y^(DC#>sJq5Cs08ib;dME42B29HUYPIY!
zn~Pn=&EXVnqrhpXMMS(ASq-65Z=t0E9gP3FZ?r*!(@UTb1$v1d@+4l+eJP;%u&3V8
z4HyflMF|b0bVT;WFB+t*Ff?JOlMd82+l3q#Nw#
zdh44Y(yb!_z;}wb1$Y_Mm0w$SZ_p_PSN|}l_?xtlco>B5q+q6283J{<9}g&1k1zMY
zK%_M=rj75o1rDSEX+Y=&@^vs=XdR5t$vyW_q{RWr=-W4MzAJ0F_yKUNT>$%j>)UAAjXV5DEz+=>rq^>gX6vD8$|o&F(ER(G1jEHLRZe
z488;o6mTZP6XtxUdl=_NT5FibjLV?IzMC9@h~FBLJbO~#3A#V}n@M#v5~A5ozH)MB
zC6||X-u)&nra5x~tscGHwa(^AHul!AX
zd0jZEsJbdmdqMO5SnF{17jybzJCD7pPKV3t`NBe>;w>l%X<+9^kzI1|7e_$AF@im^
zYwo`CceHxWTDoA!S!Zu~Mhwb;t9d2gTs~d#`GLRa-w6Pd{-TWpY>qEIsD^>*qQbmR
zYHa~LaXf&g?pD_cKtl#0zY_zQe|sq>_F!D`*h%}0Ou7E8s_M@y?KM$+Z_o+Ix}U9m
ze6vnB>wW>(l;SxEYIta$sp1Waz*2sFni6zjRBZqbOk4Kuiu*L&ND4PUeUBCDfb!$fwr&p1A??AIfP1jaGZ!
z_nypJ9`4h<3jcHFm$AE`HLh8zzT2cLd`L%U_Lkl^mc~N!&)C`Yq$W_iH_Dl_WhINY
ze^2#+NElJ%Qui&p=1OC#xyDJqTy$fProjE~1o5BYZn(XJ*~85rflf;p5Uwu!P|E47
zJJngLW-aOZdBN+Chj4flf`14yt5KoY*|`V^>{mx4~jeV4Da`5(wtJea?aWMD(SyL;3y
zQitsj&#vgCMGx3h%sVL4l|0g{~+~{
z(EsLFN17jV|H
zk5^wrzwlctu>+*YmvhlMeU`DRqvIn8ZF(RLRRL*e27AD0bW9960|N#ggNBff&TBn=
z{guN*t-@fr+=7P7JjMKxYHRIJZzlrB&2H5z>1Xf;kzQA-9hAVx#KyS1|JAgdq5Y}k
zGfYrd%SaYwWdha&?8672QXaDBh>>z(sv59fwXC;(&(`9qWRD|0pG?HrQL~;Hf67%_
z%NAEYQJca~w`2_rJn4_x<4TAQk;{Ccn@ocLe6&HSGx#Md%b&-sxMggzP|D8kVDAZMyvE|cTF3J}O)$mL=K(Pk{rffs4k{{SLZG%#_~XoDFHL4?YTLF>b4
zvzHeT<>{|=1*??m!QVeTR2Gq8A<3wz1%T362jE<|UJVACivN$Q_khQ;f5V3_s}w?6
z84)FskutNgBeM4<*()oX>@6u8MnpDc@9gYNX0~jyGT-y+`TgJb|K6YH^E{si_kCa2
z_xg_WJdWc$PAod9LE-xpoP`=2+Z$X2QMmo()gkX$60IgKu5|0)cZ(EJ=Y#)gn-e;0
z*WENNm3RH7ee2^9d;HZron!aqH$oN&OZSI{vGbQwlO=t&*1xC5Qw&~~J--K&U}v!D
z@$IiCbZece@4++CZ(=-J+33)*HhtZuxFS+$A#YVxy}cLieNbIArDuuUN2@!Wjvg~d
z0lOkO8IgT+=R1_QaM=A4NnIf=qeh8ULYL*^cn%Dtz-EG{IW9(Y
zhDxZn({D4Sv653S*CL6s$&;|debLwXQQx1pHX2z`@L{vb2i`OItQC=~o#M=GQD7v}vDRg;dX+6TG|1|pb!1mQm
z**6gNUr^4F&sD2ZCok60xG&S_T{0Cm&-c%{|2WNoR*)4Qj
z{doPMiOG%TC|W`oWhnX@Ubc_1zVA<3cYo5O?24omH_r&;$OOR|m7t1kj4`qqEmN=&
zQV5S)=^4hXbHp*xexrt?J!@mM9A53V8t;K3%|}ahh+6
zced-l`%(2RPlc1;NIg%4v6i?9Beyk@3A;>c_;D>GJ$=>_f6?pW^u*vS22+1}brru{
z=Mp%Lxw^X6wYTF52?>!AI)l`pVT$ldjFaY$?swQL?Ey>b`1pXFGoi!m=)(u<*QeDN
z6%`bsySQ~L95E2;2hKST@1dr)udgqwxV^2-FFQMXvd0{NV4@Ilw9pO`4LLUf6L$hb
z91emQ5uXjIOW!k2-0Jh2L*?W}uQL{#2Qb7oGYmB7c3(Z6z8+`LS>RiCf6d&3?+g2+
zTiF$%^)W2_C*e){vCXNv3=IsNul{WJ+BQ6qE=x*z?wum)OYXeZFs!O}OnLPuwNXk>
zn(8-fq?v-Esc5J1Dv}<-d^lqwK*BhQFK5x;wzR|~cP6|()?mcqqxmi=>|PDkT?%>n
zhT8g;lJL5Y$X?SV{fN*}+0y5K6mpEUj2O!CCXd{UImOyXvFfC%D;vgs9;{#x6UVS#
zz{bo~Xz4MdVP|JY2N23(9LlMo7zWIE>>M2Yq;GH@K6F)u(x>_Pc_tPXu}6NRGk!543C@J{?{D-|ZRx0&4e5*cBq-j|j`L(i=
z?IL7pV9>-AK*e*a>15g%OdQW+d#%2qf%xjxkewYzP;XKvSxAEwI4%xm6-EE0d;F5KR$BZ@+jzgO$0d9E2#?EAZz-w<2R&dcwY1)|
z|F+-w`@@22KZ`q|ft?1f-^2vb+(Ibd$FbS|)Qs?JJfA(OUiKI6-I};to?rg?GrFV8
z`$mM9#085V{O&cR*sIMgi%G4G-m3Q!ygLwXu2w=sMds&urNwA({e(C6jh=N9%*lM0
zHGlO=N1vW>s-9O4H&5O9ujwZV>i<0s4iMcTxKOW6=#s~6Vdb2$2S;U7i>X?(7?|aGDRM5z{A_K7A9s8q|b|nocICrD5k+
zZHNA7nVX--IJh;}+w`;C=!Uqa=GE6SH(@Pkl~{$qET0AGc0TnvK8pb+d@AmaU%P<>
zRPYbC0i2+&;70mu{;8K|6g--=QM0tH!`+o2c$4Lc((tZeLi%+%jBJ@3M9IcJwM~|#
z@iT7DY|eVMPnEPGbQs(UaoykOr8^r=Wr2yi)eykq7WLvr)m5Rj;r?GQ?mfm$vKXsL
z$T)xM<|ZJ-=Wu!IhK`6cG}R0xW)XbP{r$m2WwMmrm2Y{rEFUqcrt>psrRq-{Kgd@{
z&1^f||FbEQpDst|!dcDBt#Ehd+1!)bnYrraRF-yC=GF29e_sq^?0K2Q{h
z&TNSL80Gk4rEkOwyx@dll0d*Q-;t`Br)6X?+`j#2u?C{AV7Z(y#Xn7A`U+`(Yf`eJ
z7<|TsJg0_qUFm{0#<{XjzR$gG+h`KKJ|uKGY{WF>VD-TKgY4O}i<+{uwp9a}G>JBU
zqI(r@*RXX-vohT;C#+#xkh{D6TBb1hiHk>1Hr1=`ZN)Suspv`;0fJ+;uj-g8B${5)
zqU{#Q6RWY$q^AQrrsIbGZf+{ss)M&Vk{vYNxr#FUe*}i-JJkladVManFrxzaj$!1;4^gujyRXFz1?f_FIi^`k=yaB
zA5Fy{TaV!(kAp3IFDSA?ToryK(X{F0Jd|Z=BE9j8al}#ajOkO>_>EUuL9|9GM23m!
zK|_(yUyCZZ(%NVz#OLhtZn2<4Ny{6-Yx09GsZ?1CU;2|pEyK3UdWT5j8)4&jz!%F
zs0UM;TC-mImq*{eehv3>Q`~h|9%SU`Bfs?fsQ;Qik}V`f@ZyGwuEmYF?+1lM*rePP
z@2a&VwS1o=F(G?f*WGm0Q_OG6YK*C9yH{_Gr814=e5|rvelk%a=k04YmxB#lO50A@
zn~NIK!_?_~wnTfr@k@#s`A!k+${9&AI!~2FRN@4{iMnN{KW&*AIzpAH*(mZ&|UTuH%4`On6l>yt5s!Qq&?V_NaZWnZl1d(W8FRub+S
z2M!5!Qtd(2X81KhN(3!(_74oiL_9p0)n*?(d6J*Ap&V;koL^8-aDL6=Ggx06>@E-T
zdL8pZc@4`7zNX*8U3HrBw5WwxLS?^Cqu7!QH5BhJUsm-r%nf@Yw>(S2;hwIPZO_a_
zkg+}?rTBtRRB#-^|FY463?aGqB1}XgPiOwDEzX3$(f16iug!3@K-X)4)DxrK9$yNw
zNqj^hjj5&f>=+N?#(u4GOIL9UGQy<@Iv({#Z0`E1^^aTA)3fLDCvI~f`A+w8m#R{w
z*_nY)-ZMHXey??;_1D#SzUOp_gu-BmkNv4>!r-Z>BpDVR{U^6Z1vBF?j`KYWfAIt;kET<(@A^(u_j(c|a
zw_O}KdEIVgq>)5f|MbytQ%
zoL5ghf3bg*jft`(4S8DVISoDmtWvPmg-=eMd~w0~7M7s7RBL$8Ih-ma(Ujz?O|r0-
zxcIJo=aHb;b$M$cksMafec!+~QX*o-3HM(v@(^G5RpD!p-Y=ODgwM2lPk*cE_0;v(>VJ7^^)>we{7yJn?%=y~t%pkavBttl
z=}IYwO?#xpVlUHe_7*>eTSVT%G!S9p!v=tNwA&cso>>;1;%yQv&2-;9#6C_d!u-LR
z$W*k!hr`O&f*SAdM-me8Wlpyuh5qnDf@g-Cs9^Nttkc^iqOI|ldt2cxXmpj%`rc{^Np!d
zlyc&G+WBfIsWw>s^gwyz)FJL7`}!oIddL+y@jEMQAE%$F*6P*~eK2r*v
zW%Xiv$GbPnGFSK`U@n}E2q2g~0GJz~ac9+wdy&+9
zeo*!99~5K^w%96wHKwnw
zCiEkoi4;9wPimdDDrxtUj!;~DzOzI5>t-FUnZFyS4TG
z^=)O2r)?x*y58Ue5f6Ob@GN4;_{q`V=Ib@xJI%B(Ey
zQU@vEISIq3dhaF?CcgZ-oadkC-jm(GZ~vTYrE0-0E?%uN{rc9c9~~AO)~4>RZkS2z
zSYD^Z2fO5ST*XF}3b;iZ$YZy2W@BAd&o3*!e8v=i_f}EiQ@d2dWn7~`UU6}g{8b}t
zq8K(++k>46UcuI2s^>wTE2B275*Pc^txo#&+~e*L5N2X0G&M0MwRbjd-sHZ64XBmn
z_KQy9DkI_VKtyeu`=Ci(UF;+-hl+)r`1Na+Psp@aJVkX)taO^oePywsp(#Q^
zzxTfszMk?6QaaqaB`~p&GOGWW4ymeQsR{n_aC>K`$cY?Tx@6OF;ra4cFIq^(s*MqG
z=WGkaB%jBo!iJfZ7$LwTM01At-kO9-&;HTk@6CqchGNN&}jJ6{Gh}J=t
z;K}`C2L=7uGn$a#JDmeP%>(T8^z>ix&xx3nW)1x`H{69K_JRpb0*cmJgBQ%E
zS_wrYd>pu0Y3xg5WAs$;X`emYu^Gj_$1iUD_qXfI>(RAgcw~Dk=4!%Xg5z7mXp<@{v+H(RhSttq&@3AerrsnsKcAu}jC2-L;0Uxqr4yQ#uYUzs9
z!S(6nX0z$F5ZlXaOZYxohpvYGUkuHrXK?~#0tiChf|ZYD*{e8$LWSTVFQIq<3>oO(
ziRnuOS^nfZxOW@pYEzTh4VQ-y65tNr-D4Z1tWq<^sc02*cU(AV`ih0K)HJFny-1+gOOUK#vH^-eT2JF}i3
zh`lg#X{-XT_|tm-#E>rC*Nf*w$eNK>hcu|hWeqhr`AZZpOk4H=^QIu
z+3K~++TIWoM_*@VgIT2DU=s;gfoptuovdya`$^7*TCP?Ac=s591c^d;(wVlN6QQqs
zx~5uZ(XPbc5lS+DusxueBkW!1;B?3K*;Ppi?iQ*E{*=s0?WfwXr@U+sbxK?`P`Vg7
z#Z_~e9BIt>Y`l?cf^RjXVmakk8%c%legD!_c^J$Q1DVPpM%~zsmKZ*96SqITbJb|pz=
zu|_1S>iBVOg_zYIx*vPZmONTKoK<_JIXwAX`Kan*+{LNHO0#Xgp~fVhm3RN{Ufe_*
z-KY4LNeTdJkUTqPVKZ4`U)TAfU~mk5tUcV)d;d(ZaOCqkXGPu|%YU{=p{rGe!ft~W
zmtl*CSBxjR#kA{X_y~Sc-CC5p=q%ILzV+rpz@HA**44~Z&xZ+r8-&70=1pm_R0i%G
zt{t+%a=bN~cX)}l_K>W>dpr~_7-A|*CwbT{=;_^^P7a+OgM0}jB7v2a4agtN$BobxsrTzsSukB;xN`>|!cuWj
zQ9sQSc^Mf|K=xsV?`=%w7uV+G;Dcg80#u#X-?kG&NZJ%eo?28ylC75OCrd|9kor3|Rs+i$p{kY1+VN8(6mZAC!g%?|w+n6JvP59?q-S0fQ)*nU`
zmjo)-je#gWyZvIO~3B$)LuaB-1>$dz++JJI>jd%NcV&$qc}Q^72s!8Beew|Q3EtN)^R
zRz-Y5!1ebfbl*lcLrwoJt=;co>^0yCCix3)Kp|6wiJ7?`=p+O=I~=aH+soNIUk-|a
z22dVHzk8>3^%L0a%)Hh2@`X$aEJ#AYEyj$d6ztbL;3-8*-_R(vp#e=Na5xHTYJu?E
zUlBZ$U-quaCc(ha@$*x{q$6k78@T9=`~nB226!syS^%y~E$~(lA+02Ei$X`M_fm%w
z_?|POy?VwgT?k>aqNbGR2(re3FbD$aFSVc>3@s)=v%KzmciwSX2FBicVl>kjBAKs9
z1=CXifYVU4Ih6`C&>*v8wzW7&)$Wiss8f6SO~Lqu*JYg=;8*+8;}@^rzDj=zFk&XDMm+xvLo=}D0_H(e2l-h4-}Gk
zl8|RlnZ2=2h2sT7!%^C6Q`PR|!lwreKq#P&X#zVvVgULRg*CYzOb6K?6l`&lAsoW755P8d{i(bp+5F#3y2pD|P8%tkcW`tB7bC(LYY2Q+oUd|c3+zmSRsdbm$KXP%KQWME|Ho+bWIUmz7I5vE@yucU
z7mA$|i4;ZX`o`LG&>W#)RYf3uV>ImeE9XaR`AJzZhVrnSczpm2(~N
zCR+4g#5>&S(G+mg+wThA*=y9c53;{in><>>q)+R?olNe=GkAK_Dx9(|)7_l0lwFC*
z?(RLjHL9zp{`HD+s{?Frp0WLm-Xen|eo*So0gb4*_?zB5-3K4XJ}ccGEwK*s_s334
zPyYm<(%_zcnH`4ZP|kOtF74oCe0_5Aupm9X>$B|ON@${xCndsR+7Yj{`vkCznXnhqGPt~V#-bcGD8T%ii1h#R}{!b~_hOS}37)DlLQXn0n
zAp+w2w`Rd7~;p_<%A
z4NMb;>(?=Ga0WNVrof-G>S(?4Tz7U(p_`4H8$S}S@=NorSP-+29qN#irqqy)|Lm#i
z0Mj5gJrtT8QB|kc3|4U7V-dQuzq>o=o@1IOCn*`&yAm&ZEO(*;
z3o~7u0+j1o+4z<(8X&*eVhsMoPn)GNc=Qroz}C1nMmX`3a<+T!0b`Oj(D>zR?$LI_
z69$#pKlxmpTWqTPs{u=@xPPfmIak}zNJUm$SOnryr5NdFBPPM+EV1auMEvvpyJ>k<
zsP;gRavi<$HE>sQ1wq;M*dGN?+sVdjy=%V`6=~(>QD0Dr1>;~JZ$G-{Ab3aVuNI(a
zHXDLn|&FL*hUiVbmmrai
zdK+TR3QcrOo2gE6i<1cbCU(8GV7dabL2H(Neh^w}s+D7Eh=_>HJ9mCv1U-H;;9I{I
z7u7X!DG#0%J(7DDS5aa!p_T1*cyu(oIo$vXdImCfy>JlXNo*Vy05XE~um$Q2!t}Nn
zjLKRZ9^mSG3La>P59&%~lTFDK_xA0IK;AOv+M7?mH^97Vr=(Ca_tSs36qDg&j$PJP
zC{RMX-j(QguUptR^@(s~<+qGqrCX^zw>Oi>F}wu>KC&9N6u(z{;3D_D(%E07+fIg{
zv$n!ig7d!#W(5#F|5Uftco{L$171mGWyklF^zIq8X0`=2s-A$$VQ;x7n7Sfpk~G)hU83RlkB_H78AkT%omX8%U!WHw;sb}I&LVCGU|Iq_ZR#gS`{xlbdb?z9
zKI$a?{Q2`jlOK?=NaS;2V`6;z^a)WJQ0Q~|V9MtryF6CPju?Pk8jOkhN4>##3pnJC
znc-Xl*tXwNzqqI&rxb&m>rvI47eg!H)KR)dbs5Al*k33fnnaG3kJcvV-0bMb$_^s%
zZ>@9KwLs36`-mAB-VJNkqFZxt&O97F>V+0h$n!44QxgaC&12BV~z`LBnENk4@j+OifS`1YM#*
zy{I5m(Ki6?q}E1@pPwHGG&hA-p()TB6I!^Q8?fMl{6#)VC;~`>_$_>MJbe7d*e604
zl4t&ci`}pF(v7Da0Rzg@wW4;W^H$5a6FjT$eL5qF=wpPBs#G2*#uH_HTyL
z9$g8ic|Zn#3btb$d3x1ae?4Hh@CDuXiVnCe!!U?`e$G;^qjtiM&NOv2!@Cu;MXSoi
zoGzcxpxJ#3Z-}$xDYmn)5T*4Acv9k2v=v$`As!<~)BJ0oCxNu4_>NW)uJG|D7ARjJ
zE&y2oTEBykHYGv`tCH&p%4Kw`1wYVKh~?449T$6Zcee?cEI%lq`CUB(=TgLv*juRu
z1w>Fs7NElxBtqw-aYqtLbS7Uc(!@?`Kl-e63OYVHR5YN>N|16@TcW`hZLLXxQmS0fdMT8DQ?jEKu
z;=aG$^z~^w5h*E7ib61>+`C^1&l2G|V?u14zOMx%pznRc1;}i
zV3tF%8gAV&eJ3SMUMO!O2LXTh!t%3n+_&P)ES+zrhfAqUbi|Ba
zDf?jc$^+1rJX;JM4BD?;DyQ;SI27Y@}(Y5N;%S_$)B2r&CQ
zSjs;(Fvo0PKX3k|q2;F=S758NiC8m$IN~M@fENgE@@+3#)ZV^MKla?&Ij_X%b@i3T
z-|UyIx(7Tf;IDS|z$&xA`^-zH#zWKc9of&wks%tozRyDP7%ZyHDCP!$h0W!Vrfy+a
z6Gjc91t+6&AFAF4(o3Ki4oA_8dqunZxmNpslZ8;>QtG1iNa?Kx+6PZVHk&WoB3J2&
z`O>qdBQ@>>W@Ow#k|C1@!CA>N88I=9o?)i{DhhtF~?~!j<|SeG15*Fp13C
z=3~eO9!_0zWg8U=ybi?tnu=!xsmA7RXmBvKHpBuo2QzpAP*8_Hsz#%`P-8(vPOh#w
zYX&(i(N#^H_+_B`;3}>oN>~TKdK5d(R{V!*p8viY|M$qts@#L-y(D2kRb&{e@WjIP
z9dk;ZfUpRBZ#8mNrSaEF6a^W7xb4nYGSH4;z%%M`=ef!_v
z7=T8-r5S8NHPiZ?}rN>B#okOmTdPAuRz>9cYn&qp1aOV-aN_`(Kx)1A-<
zjdF8dU5*{It#EBx#!%2QBvxxmYDs!@yOoJKFlij+rtk9chc+dK1WU6QYZ3U0)S=hc
z`W^jlR
zQ2_N3#~5Fsw1sAi%Muu7_bNYg^DE};aqHIvK66>kyLPIgsE}UQsPEN~M^&0LbRI6d
zc6GP-4SeODFv#222e=W3qa9C6N2!cALVBhp`z12M+ih(emiu0*YXgYs>S$17X6&y!
z3sKe8EI-SC4Cx{UTEehkh95o&mTsV|rM;hDOpO7%-rNW;X7H-Krv`?V!MAka!sKku
zG}>{qcZ}QTEnAtnbIE!q{6wv4o%@+jfF3>!3rGgt0OdJ2ja`--NH};xus8NrFCrYy
z*#h+R_@G$T_)IIMtkh}YeVq4VEhM;g3&x0^-hzUc+#kLN*9S3h3o0o~hz$e$X4$%5
z@XK8_0xGj&p}Dtln#G>FZMRvQfUX*Go9DNgn-itKe0_9^Fm|-49%xCTZ8-o0RXP6q
zKnf&gqOkO~fkddoYRwC(#r}KA3Ry(!Ya!naQ#PO5H-o^a_tp&xT3S9uYezY7+kb33
zb&eg5!4PSa;u@UtaxM5eK6`djW1bBWEknh)+>5KVAHz>dW4Gk$ajdAhuqQbaIuE7A
z=f0q`o0tn94utiQe%#~;ayH}j$(OB6Y?XWLZHk+cNF
zQy(;R9Q1_N$w=zOn1Qw?Pcr^=E)bnCiVZO3RwJviMP%hae5X1h{5`Iou3~hmf6MMB
z%lVbS7EvamI%Vd7jH>}DtSK(iL={{Y8e?9&OO9Q#8X^I8(C-O-Kr}%{$Q%E`Z}pYZ
z{a2OA`qCVd;{Ffs6zP>0l+Ij25!utnGT#Zw*=9q&yir?`75j8!+cQ&j
zn|=E?hFVA52kLJr%6PYK`hB?$QMLHctI3K0&>f4bZmuV;MhZU0co6$0l4qaR4N37jLOMO%O3+T4;
zAaAPPc2=^!<>$|Hf;Z^34dLR%=gI*5|4HLcfw2QNW(s012g?2RsTq$gp0R#kx8Xe=
z;0+J8%6ooRrWV7yGr$YuvNT?Mv|t^6Z2w;EAl3dR3)M-@+0~G%31lnZn*SapD7@RU
z_2B24nDI0VCZiQjy?30+EW}C^>vb}bepVXt#b(5N#d)F2`@dNwCx=%lX*RFTFlPMlP_rA4lCxkHuC*|Gob6dM_gD&{MzN}
z;wG{mFeSys2RLB4R2r|`Hn=%26Km0@;*_73`z;S)2_
zJMJ-RAzh(z$M3P#WZzoi*9z8CtJ~g;8S#Us2HUz}dcxylS0G@Qvk~SL-M`PnIWd?+
z{pXUje2KhNaI4M#wU~Ruk*})A4WtLuIzQH`O*p@a;=8|6)iF{#>X5u
z4Wh5tu8dSVk~|&Zu@9H9B;+!I17tT3H>1B!W5p>jcopU^B=v#l`9tb{!3P^r!~Y#c
zPVktI5>TcGEfIcU%4?RHEQ1z0t*!Mbb0j*QZJB>=meN`iM-p8LlibI*@r$pMR9k7^
z+~g1-9#qOc?Mo;+Lba76@vc8DhHa!xjEF%)ctuku-Q)jg0erU1T__H5dp><0JQ5c#
zY5L!AF&mhuTUBFfsDj)UeM@&qL_KT(4AWlcNSJTdR|{;Jh1u;`P?{VQ6kUTkbi8oyzduxLr1Xz%W0!
z_1eGr;h+OsZ{A2dZgSSO?cL@hZ*t}mf1u?Awrg{F?b%f=^_BF5^hU1)c|y8A(fZvk
z>*c5@@T>*4GZX@~#)NF9KzwdMux=ShAg=7flf65A^oM*mP#B2kKbNRMdo)B7GN8~A
zX&!X#VMO85$ZcSbxFMPVxv8TKwGTOeQPap9V!JoeRugjcSy+49ZnCfdhF}a=Wd?~w
zBHhIJcT0sG1BF$stKDcet_k=>xw+)W3OV6!w)|LRG&)-|p_Zu$gK2#KRr_7K`xLtG
zu(hn`2o>%gF2<(blCwCEobfqdq>>^iHj1K*yo7N&!r_2BfNZz7(YZMI1t*aias<3RrP*b7M6^CCjUm;ajr2E=AxS@w8wI$l8pV(Kskx|s)g6GcY0t6~<0
zF`8?5q!&qE$7yErz><$$;Cc(kQOr{T=n?}FEsDyQJA9sWzJ2>P8sHAJ7F|A{1QqJ@
zFSN=l!;eFXT&>RGtV=X&TD&pdXvUwc;USo-5%*fq1HT-U+6tV1r5Y|UCfhF8PZ
z#aOyAbfZ9CO`3t;LK;1@HG>qG#1$2ZA+u~hFEk7}4`g`0kfDe%kr>Ul#WAt67K^ZF
zrq~_3yj98PJtQgMKCLk=wq1LscXTKXA-3BQH)E-HikLRbULfo(Ml^7pD+je_N5V**
zwrzC)px@{Dhaqu85ELH(LjgXfIGJMrXbH!qEO;SA(Y4>XZ7{1XA$o%-UZrjXYJ`9|
zv2^*t22-D5^!x#p^*+Q~;Wos2=LI25()f4TQh+1ewVf0I)yo~7vVx(-+iYyjV5Wiv
zxgkhs4WLgu;)8=nrjeCBfS~(3IvD6uby(cvAh9-2^u_V4;E9h*_|RmuO2Kov(D1t3
z*kkiyO29?tmi5KO)zJ95^((kqIPvoFO*aq66BOkHkUaC}B1&r^2BSsh2(zg?ihQGv9cXiqs+~Sr
zvbB4BjOdB`DFJh#6(d@MsnHus{@IO#j3Km*4v|0*h*n{9nf;|4HQj0R(P~_Fj0i#H
zPM@)k3>FU*4|WS0D5NC_!>s6*XsJd_O3@;6)w%n6Uw{v%A)#
z_feM$jaskjA1!EwG~xp$-oSFG+C&8hizp}%t&f+#1PEMQN=mzGYEI+7&(25EqYzRq
zJBm|?2qCr1L%{&Zhz_7y&TeIhH8xT)Q{`YT_6dSO-L_+~Cm;&|Y2hGfmE9-Ln=Os7
z76ViB5eN*>1N?1ltn$3ldiu~RA8?Y;pokdCc!BmeU-Jf8JAwckEc)nC$UML7r4Tr)
zB0!E1{_jR86YXc4QSBZurwu?IN0gj_;u8Y_G#BO#Yy^WfelMX|tIB&68sw-R$?wua
zx=BUg1TqZt#f1-m4iI?Q2$X^}{5n4ck_%w>bmyl4_!@c(b!X#eu!ywtXXl8}IR6(3
z2l`0hOco2eBmuVjGcz*<=KYM-YtE}97zoOe0ImkE$zAzSg@T|~F&%n_;gn=~n3B#f
zmFt36Wq-(@@Z6yMdVO{!`IflJBgT{Q#9Avm7q=BMvSk7YuNg=#Zh_7})pn`|Efm`=
z0TKrTF#uR}aFS(kZhG1mdWg(qBze_?^dAMEwW_-3DA4C3sVj%keuu63S<4gSo$lIC
z!!E)`<8NpVHhyEHNzK~-WCoPg?)#FJ&TCn6(^<=~2k|~%z())Qz9>p|??WdY(7U&3x1pkN48uk>GZFVU^`{p(HB0*P`j`;8IiVJO#u7bdgNv0k~uO@5d4
zoabjyb^yh35zbCdVA&7FeszFZLInx>Entdc(0lsInCQz@LM;`5{BtW6Y(d@qkU0($
zad2=@(9^T&{R1~ng910-xj{QxNlP0M^paA0XH+~g6vmH|Q67WgD*>>Ft@94rE)6ET
zyVWuI`S}p_n~=i6ogYgq;|DeI@<(TjjbOVg%>hxp#v#g_b9`^Q8VwaB&m-x4yS34LX18BWMjH
zP>s!VdoSMwXjBo3M}9F`WPEv4E<+Jxy#2uYrx{fq39Jhfee{|7aj7F%K7h2(qy$~#
z%(ecOzC`rPc1!5rx&!XwB1~tzAsq-Y0SJQ?gJYY}VNeN0c?WK-NSHoY2BELkH|Pma
zut&my23vL0k7j!+&7-?c80hQmmNM;e4Nm^;G%!LOsMg{8sB+!?cQ4!whG$dlg#@uc
z0v`>Oyrcu)VIcPP@%Da;;hX=v>zi=baUdKi7u`kE>Ea
zodJzt(HA8>`i6gbEIO*1Q6il#V`OnLF;K)XAe)z$7kyGKs%~S$2E@1A;q>0`BkpoG
zMKMMy&Ph;6(ck;8+<}No8m(b!U+MO{`ELTS%SuEW8v&z;_YX~gWJ`l0jp!#i`tAQ9
z67;)U-Oy3^(ym&E{vW(3Dbb68VgB#+-|u^{Mex1<_mew-k^IEzB;k-h`|p0~zY4%x
zo_{!%_}_EYg&DQ*|J}}86waHuXdq6Y{i92c(Bsm7)S_ZTG-Re-Yp~hCE{XVj{mKcI
zK7&t7;d@%!-~y~7|BaAU{<5Xr;IJutnFE^T|M$s1f#!pspjebuB&>np;8nc;egbgT
z|9NLr{&%>fNYHQnr2hBIqvRJf3%LK@`0vmDd*eUwiM|CQuK&Gp^?yIPS>kj)c=a~Y
zmUJZlQKx0Ce}83;Uz|V!ZsXj3J5-ybCK3(Wa;al}+g;&ApWG#wd3^F1+3rBdzWw&q
zzP12YsH@9teuaQocY)8@;ohiQe_vX>_Y_X~>X%YmM-gLi
zMiSe_N?Y}a!P?{c_qNC|iR2#(_m%5-PueRcN4%w<9Vid>zIF#F@sxl0zeP+uh^|xR
z52va;HV}|z-&=faaa0?oZpX+v(FTDJy?Y}uno~x$(<|43w1rKtDtNXf3S~Qi(+>d3
z0BnI!vH`eUs>@i)GQgyu1(-l}`~u>T>CPSh+FD_L=ha}4+t5SbAhi=M;MMmw@+mqw
zp!r^7bMvy*+k}J=U?Um^2T7r=TmE427iS7&FhW0n(x)wa(PbrW1+NAQqp&2w+eb
zio4rNl%Bx1C;o%Z9CXMo_&}hE-UfsN4c*;@(6Cs6Ij-#a;w6+b(J6Ppv8~!VrvXTsepXVa(wP9dtD?pvJz1(O!A(Xm?G2$?4K2A;%hB)!+K!Hn4na^I&09UU3s4IU
zB%PFphX8o_1w(1v5`F@3b275BaOhovDwxsBgb8>28GM!l#my$Io?K7|#im6xOtqhp
z3QReBH;HhIO17|+>D`FnV$o(ZYgfXWa0v*Sq-Z_;p*Ix+0|OSM2)Gw7W(}=_+#L(4
z+HPYpgYaSA8G0h3wt&3ervjI+T(JlLGPHaGDeydUc6E23h2Yd*gsu*F(?W|u<~!OY
z_#4&xiE8@LchCnd!kegYq7ZQ90DgjXtKbK4@`Dj2rwek67PA|cpA(6QdtXZ1PSj^D
zK10M!G`Ym6byFf2+CiEey!23`8n;M=ITzpaA|77$nsW9a2$V1ppqz9TxBeBdl8}(7
z*gUYG!Iq4=rn}Z`(i(jo4%F~2qU)TTmtlSeDP=Z76BgQ4j2H>~iy9NIH$Gj}xhXF>
zb^+lH@psL6>c9H{wk+o$45Ao&2*zL|f@g>3O+QTR?CpJlFBzYhKns$gP!xEQx|Wvn
zuv0-@fY1B)RA8AhJu`z=GDAIcp@x;iftdJCa?a_PWQqc`$i+d3sHt_VlSJr59zVuM
z&~7mNQNj?&A<5u06gLL8Ezxh@sO9Rasgc1)?M~)^!P_~wg!kOmqR_!}?Hax&wG=W)
z0ODQRJvRywiPqFG#D}tOMfbt=k%`>A3OEj({V|BRR8+-iGF2=bzRa$#=iM8C;xEQC
zeDmcPW|E62xd~;IsAQIjNkmWY8pIRPad82lA%;
z8o)e7>Ep*Acol8EO*pRtSB9PZX`Se2P*##F2l6$~oMzNWZ=bDa|4ueW$0|ic>9uv0
zw-d0%Jg7&4sY4W){59_6;XA>60qNs3sGF`X!!&Cc9tN{H{sn)2k*1|RFe_?P$S5nL
z2nYyh?e3O>gAt5
zuL75xxY{%zf;XX`Y6^G=@kg2WrCq4`yFi6*Ci&HSfI@>7QaSzccTfsuUz&0Jfz^ZivNBJGaYJAt?ED#ur*>F^}W5leYNEP3Jj;gREvLqcVmk7n`vj3
z$ML)TEbn2D?t)a&L2|{K0?oHb9n^!}{i3OSN63rv$Y$!Hjrnbuqf4aY*x!stQ=dpj
z_x?e{hM#_U{QQA6rRQ|__Yc>PLV{N#BtRpiC7U@_>rML~srtI>=7?|T%_-aQvXtU#
zV0D2j6@wOeV2YEqMg@&w4|jgQgwhUFCdL?hb?rT9Ng-h>wED@3K0>tE_G(m)sIxOS
z2m&*n>%+J<8uceBiD4*q7PKnri}T{-tUCeX5|Ik^c5Sa^@(y76#KB3u94bP`K{+=d
zk&Go`>(ihR6if}5m)z5%U^P}kAR`hRWEesl&a`j;7)txUl8vl>5Q?kOJpgoHb0H0=PP)4mfj6TH2&GbTXjo
zFsQRbWv5)0Ljx9#k$GNnaH@onvDU+-qR7Cv$TMigMz9XPkM}LjviR7&-px2JV9Oo)
zT^I8nx(V?Y9M7~6%1qW%i|hv_2iAa)Xd;IUF~`Nm6xeQMI9UDGZMQx5!vX`G21+qh
z1~9THPgMp}r3leM^gjK23uRZuA)2Ek#g10Sl	
zi-_~)eYfaet;88V<$!cUVxaa(CA;usl)$Ri?MmsNZ2+=FTYMy;P)8OB^|1ct6}kdOoB#?F#oxvp_tsjRq4(p~W0tiYsJ_WM|2
zwDhw6Q0tRVaI2!GAfg1T*~wQ65>;z`5fQ{El)eZ0yJ~THA-~{wLVTj5iNYqqcchUH
zQe(hy8bEW#>O5JIe4(M^LS#6>SaD;7nDtAB&O+GaC9xQEr>NVN30h4!QCHc~!kU^ITs*u6P?T@N)-ns0Ut*xb
zfb0dPpxx%LhdFxHprZp1OeksPf};v{lX_IX0Y{1E&iLLJ?v$7mVu`?#K{e}!)OWto
zx4jo5+RsW|78M=hoF?nM<0kt*4q|^bq{r?M;qckQ`H9I8794Vi8LPpLI&iBILl1+H
z-Oa$S-nAJ+ir6sl;Uf~hZAM(F1dhl*mo5iVa6J4O$Z8M6EC7W@1ui%xatn(BK9pbE{#{72oMA45(*`Ntj?eUf)FDLN@{r{
zAFP-0F2ozV3G~tmx;X+U$Z^emwa|4gMrsD6>JbonHhUedk%QdA)dTwHMu}bGGbxzp
zV2+b%0{dG^{lmVu7r&m$#97*@=;}@=?hW_#U54OmWtUm&N!0lV+f4fEi=5~6E6-Om
z2EMvAR6}#Z_gZgjVbpIIC;9RYN#D-ipmLeAjG(Ug^6$dSF33gJxRRhB*>EbouE2Ym
znx4)GlaG{`xU;jf(9^y9CU-f->gK8k4O5BEpV~iPuLTBHCb{1gI{S0hQGVi|-t2l}
z%f@C9)!M9ECmkxZf%)d;_i>y%MjK7#9RZatQ=X;W97c4$a<=+n68bmiJaGgRAebcR
z1#`h=8{}yglMBX6EB>g_A1%I0i!7#Cw{_chGKJO2Wcf51n(h{6dY{*fJ^XnsnS%2u
zBN6j$qU0bq7uW8H&6o9kH5*3Y~B?U38cp$y4nBNXCRI{
zFe`oZU75#TPTAj(shywBu5wN~htrx8OQc83*;bMv6ps}52}|Ep;1Ty8F}+W;dEKL3
zhlP+N!bSXWxj;eE=F~z%Q|tC8s&J;WI3~1}|F$FQ*w-zzh?_R#p~2
zW-=sK_^x__h=Ca~qR1JifC-e)tFyKhpdrpA~<_V5>RM*j53h$45
z2nPpTKI8A32HiQ}?ZbAeX*E)uJ@))b?Kh#W!ymQH>Q8tXYmR%PUMIWY56ltE*>B}E
z$V?FU_z@!*BAn$WazAdAV_RukT7Gap>&uybA_*J9;mDP({QR8TdM!vYEw%^}O^trX
zkDCTA$9v_j&&T%k#!Q5^ilg#c`7=3?*P?xUKae^-^ly|g-!x)%Cgpi?EtX{S*o2bv
zSluzOMd(~)>JYkw4h-=hCYP9F)lNx?x7yM>Pb|)s(>v{#$_jCo36OcHMa7euzyU**
z8?T8)UW>nKuLW2?JL~Z0WIAqL4;|E#nK%qRdUWIDk^wEHaGw4e;l?v}goy-wM=Z<+
z>1~=idiqnNg`~Ohy|heaqwU~y%)N7n!!7i!oac#d#_U`!=)UGAJ-)m8r|>wU)XiF5
zTa}c-!qT|8_Lzfv-6HaYGN|Q;az^9)x2RyT=E&Phwiv$zG3gL#Mg||IkhHfxs-Kk#
z=W?Dj7AiCDj-=;hF^`Up&FbrGUdgxpNvW-^Jv%7(e%AfTnG1FCW{Z7`Z4#?d6ovu&
z|9g#Y7c|5hM*6y_*iwDI%G23$YkX*(eU{ipmV
zUV{x$%?bS(O~Iq1e*2^d;xosI31bA`&z(6!h0FTF-s%3vvPO*>1vx;kyRQT`}aQ!T;0VmxoiiMtwhq
z(rAd2c}N4PLsVwAN>mCJsf>jt$uZAEbxtHhMXAhnL=j15Hgyc4gG$KQLC6@H$M<*d
zGrZ@$-tW7<@4DW9U;kk5{p@Ew>t6S|*ZSRS{ce6yKDDQDgG?6B53;VND%O+RzyOC{
zu}vh;OCMty8S7?0!1R=W|_D)57$r?HxDMEmyRxr+N=itbblE
zx6$Ix+6Akvs^9Aromv{rn&;B?b9bmD#u!AgGigYWu_HIXrF1XlFILjH
zeI4sklAb;78*Taapl^zXIkz~K;rQ@L)?-aIRzDPrP&ZdGiv^~_3Y7&<7z_H^PsNsu
z9NpwR9X-$%7SfKIH;#WZ-{P^_S597DpuU4M==GP{xm22(Ry6)gpS@Cr
ztSJ|cFLL~vd_>-m3e+Zg?o7G;Fd1{_tEHB(Wn}6v4fiWNyIA&z{rA`y&NQDtWGvfWv1w^q74DsTO7j-@yo{nm
zFYVXdWk45p9LkjunVuIc9TKO0*!TDK#0*6ioLu_D^vbWMrF_jiq~qyn@+~8_yv+2I
zP8lU;{+Ce)N;`_3sQ6+Yotc$gPE(~zC1yoFFz$$r^~fq#WA>ZeEk=CBRVv`&k%f<~
zm6>+skGtVNwfI
zN`6_>1D{O0r(exIDZXXjF$^yZh?3WCv}pCV>R6b+;5+u~a$Kf=?suAb%h|}8?bXTm
ze0Zv6?u%|kCpdMW8bNp
z$d=VLjDH&HIN@Jve{|Ci@!FID4nLqa+`yBpp{x~b>)uRF!sk5>5%^>oStIK1=G9Xd
z7TBvRiaK{)p=mzZDFZf0$Y8@Nz#YPW7LUuGvOO
za*(O8mWgw(H7h3-&c={Y$xl*>N#DB3W&FyOqVj-9JIN_e4Rbg;w|yxrh=^IKFE!AH
z)KTWgb1SK9^2A4ydmDCB?|VflzNUd>CdLcFqcW7Fs20&Sj9$PMTOp(C$nt}^xr4ks
z&H49xxN$hg-x@m1yp;N~hZxiC1A>9Ki~v|jI`dvjnVFe6ci{qRQ?a>If|kz%E$g*f
zync&oNFVH5;@-R8zN_>5?t~;-XTcHIb>iYg;@W=6#G<2nen-_jN@WTQ)zBqj(9uTy
zD+;W{vuG{nqrxTdAaQfcA?Zd7O5aS5_adxIe*sSx%!NP92GW?sl*oS=p~@S0iNpeb
zUdrpr%;ML@`PXB)lX$`bkNlu|y&t|~+ZYtjxb#qW@!@ISzZ9)4Wh<#=28yKkI#a$E
zXv*Q`;v!ka`45lROkOhy&Y8Yu7Tbrpy#{%ogvCQhC{;(BV|g^L%1
zu3baleSUC=B{GNPzf%5<1)uCLzlV
z``<%p9+qT+x%}t-IRsjltfDGIiSi@=7Peen@LwN(L{<-SsTI4x9pAsqi#%rF+g*>|
z(a4z2ULsGdz{I)a?1CsIX->@lTHg^@zpj4O#n3g|;yAHO8VAWs)<8vad`z0J$lU%?
zrTXU@xT0FPm=fbBhCzoZnDkuT%P;DCSy8OEF$Y{ZN(M)VObRjT;b(@b7$W|2
z8^}af=@rtB&yz4Op(JQ3f(p1&CA3vwo|wY|l(mb}+_iZTBm0;ri~N_%0^5g17=HGO
z0~^G$`$sKS5G&ymY*4*9h=?`DD#q}+s}SDklV>epJkO{ca}p*Onkq_B$78KJJCKo%
z#4{;1HRLM0vZOA6d61dt*45WfqlvOIrj*!f1FX|C$&Zli8X-Oc#tWaoE3O=g!hlpRq?iMI34jtq_+~aWjHS
za;$y-35Vlwqhs)AKwsZv
zUOpNpz)X6g;M?n!Xs;+yMCFQQ*PC0WX6mOm|1xH``{H0!8Vp
zGGB0Lac(d@!65{h=s7(xo)7c#lv8s$0;k?+tFIX!A5SL|<-6E!HO+geGh1I@Kh?oo
z#OLhnJdz&jy%kNz_j4xOJUfxmzY&m2IP&BiVkCbN56NnDCVP2VIaon5OzLGTEE}Jn
zYNg}szNmpOqCk9g8)zO0O
ziwl#T;Gzpn^B%NmopD&0?kNWp(wT$uo6b(rMYkP0c64=GhOv-|SoC(8n3${gFG|r7
zEIfN&EjHDC{OJ6%x{Av{@5CHVGk{0ziE`A9_?DB9vZbL)E`4zrs#_GHxwM}wK(P}T`
zHl%}vi_5;4iOtDf8fPtGe@TdoD>267LUljdW)2oWEYrKTIJ)G)g9jd}+mul0)+s@o
z-j6O(MeMQguGb3ct%0}XG1f9*N!6j$k?mbyb
zCIp^`*duV`OF~YyyG+d#?Ai))hVuGP18KK^v(CQ+bswE~jW1naDV-BnzJT?md@rvl
z51`^e&*4G^^~LELj$TLG*1XI|HM38XlO6S6lI1#_#>DyMVdA#LM2keuiPb-OtaQJq
zqapicC*?6e4$|{2X#-PN*K)~PSB6hDHPF{;3)yRCPvBU9kbnTdilszp*{v?d<&MbY
zM=&kqd;rFlDfL8g$IiC&D91#~T57$GrO{GzyB~y1D)pyibiCbOGmzwmxtJOmx8`>Fv(KCFc(X*(nPYZWtnC`(8BpwAa_wnBDAhE1tPg$T
zH(>Rf*;NLfU;6C_p
z8*OSA!(Gm{4!aC`IXl-k(4-iG9xFmIvaRG2uU;g_V>9eVOxQ~;eN+M)2?iko^%B3Y82
zK9you{OmW?j8z~92V_{nRMWktN68YQ9f_hV7u6UAJG1)nD6i3qk*lI}Vm{dP(8i>L
zGhLNuj>fZ4JD=~7_C3+AWpJYnX$`)AtTgW(pN7kFQXR4h=%ZK7WLORqWDJHb{Ji(-
z>W~(c*kH8_H<=ZQoY=AZY`gp~_3dAISd}U7EmNk&aF1T2VX;AW-u=cSD138S?gt?9
zk(|s-=UOIx%@P!piMqBr8>N`!%HiCh;B)8B@r@~G>`(mg4s_Sg
zwx&wV=U$Pk75>J6cx@!ZZBO)+Z}PiVX<_VNDNYG^c&xZIv%)2C-0ptW+`U<87O}+@
zBGle7)tN`BsnY1g6Cy4cjkHSmyXD#MsPW2wS>umrtJFHebS=o&En9%{+L!)d)MZ_G
z^`nwTg<-1Eg{3O2uFu2zKGxNhpl>+um%W8c_PZ=l+jcZc@S54ZI%K{}S9aWWhUrl;
z)3uN*Y#KPh(b6mq<$^Ar3sH{M*N1&3^V4yrp5nms-}2NJu{pR`lk6Zq%2W1jjaKt?
z!B(j(DpPYqCMC65mIsS_#QdC=X3cWvK*G`;9?981C8fm*r!Z^yNHX;so5vqAr|}v~
zAEhKSnD^b?B_V~);y|)KVLOO>cDTs5Jem&BvEx~GTVVcB-WJRfZeo&Xsde$3N8#>i
z9D_2FY(6gq?-rv7-}xv$ejTnjJw5tmq;S|$_=`33j}wlD=V+RwzG2pB*Yl
z%@?v_eq>VhLC!(=WYp%Jf&*{jU(xA_7LpCt>`s)}G*d18)j_-XLwZ#Q)lL;G_v4KhMR1X7^3GP2yj
zr&i47g*~OcI_&N3jlcvt!;E^EkYKIxTO;^!t4xASQ1jDgTk#Y|TR&m6<*
zEL}MEe(HS$-Qec9QJ(iOvwZDgZ7vqUW6^0%Q`Kz#SC@x5tPXLQXZAZ?p-t7r7H^73
zi;qjYLCXzNTq=+p1EpSPG=T3VJTr9Csw*0Qm&shGKqk}Uc)UyhxhnBy1V
ziW1)Q*?(V+s9&?ojEDq{;+fn
z?}5#_XB<`sdd$Y?M4HeguG>bRezW#@*Q{r1%^ge54-qC>F7-guOWJO|L}6y%&SI`c
zs<;+#o<$VT+8T?hW{>SRk6bmW-h%2TYbQR?v!%Z9jk*2PapkiY*Tj=X48K4o}Qt?wqkrG8cw
z12s#Kl*K@N1~y!ZgiXJV{D(Y?ARK>YeWzGC4cNKqd%lnqeHu6fCj$T>nLjca$z@2`
zZf=$Cr8L~R@g4)Z;3N6pAtXvpB1{{oD^`x;%kJz#u>a?4>e~#Mm)_acxUymsk!Tb3
zP>jT%FMzWA>l<+sl2ok_ceJ>tn+QQ~Qh&en(2-)@5IHC;b@i{z_R3GYmr)fY??d)0
zKCE1`*opN0<|^qvhE%s)hp44g1<7?u9$etawk_#kmg_$GzaG)OVLDEKIp2oJFpVVO
z6O8+g>H^=`@OSE5K$0e)%?xqHhl#jy)(oVLKmqQFtgEE_Ax{{QClq&Je4OMH;b{g<
z{2pdt^~tC+mCQwNeku5sz=MLKx*J%wk@;)HgUENwP|@N-K)}6ir*=m~S%F^~uaTwVXN@k#jiPS;1ies{-_MTyOGht(kVzJ2&IT;Ye)99r$xom5HMU9U
z#h4Hyn^>4Eq9HbTlFvk~(vXVQP1I>!jw`7Z+ED2K{d3hmUPq!K14F~{d_7=1_Gt0P
z+CtJX#PTO*y~+PjUKB2}|8mFZjA;XsBf$o9UvDAwPTPMtq%fW@qhCR`cc<#J=^t$(
z?Yue#M_zIGJU8#p4BjKx<+;c~gDl7T@d0ltvVRU1ktf
ziqme$;4D#AH8SbDIEi?z^=B5iStK8#?nt8y_428*90=6QX~A`m~mFmYvx022oBsR
zsqvY}$U*95iS~{Wl-HjTR;z7l5&#{TJIPknzg^}i0b_#@NiPWaAZ!}~cBy~>!i({O
zKB*&9$iu~j;jno5@?{Bf^T^Cr%TP5m;G>YCa@vu})Ekjz0131E8{km$GP8-S4v>{6
z7P=I2t~+f1`_6`v{SwhUB+fw%qH0eAR_&{Z4n-uQe%fu~^ltBAb8}Iw$f!N!Y@aGq
zAg&E(td3k_b0PBt#gb*&Me~CsT{A(bIdWakOPnMWA@cXbazRIS)_eHQ79&gq^Tly<
zs1*LJ#B6(NmN@Oaczn@id6xaYtldM4Onx2Q)VpNZBW?bx-g@zljM({$
z**zdM6FD1YuccYw`ir_Hs!8o9KAm;l+@shTw7ug=VoaZ;L`BrwLf|s#=mEJj46I;L
z89YhvWM@93s%fC!AH_wQC2d@+7<-nPD2>HWW$SWR6fUw+fqIl?8t5Q|e*E!AE=CfV
zVk_t9FbCGQp%-3g*&u1G(}^quJivAP6eUxVlW!oifT4qwqb*^OAU?R(9$h3_NWz6&
z8c(I4E)BfI7D^Bv%>ttf%sl?KLbsD^XML%-DOQa!(4dtA>-8x3P+oGKdwoY?@)$qy
zPN3u~CBy#JNg2#eyxA=dIwn88T4LH{t=lIj;m&{m$j!GU>E%L>2Z{fJ%qSOUfzUrUVil$0s7?!K&JM+Q5Vq-)J86Y>T2>jpIQPvMPZe^xHv!<gnD6>ktCTfbQ<@q_nh97z~_NuUwCI_l6NN;)+Ud!^3ezVP=Cm
zvznl~mz#;pCu>>Hi2;J3{Cea`W3J;_61QH;AIu^e>JVKV5zS~*tA#WMe@b(pxYy8m
zye(+kb`A}BU>L%o8LfMhfYbmuDiYyX=qyKs3ltRgbr0?0zaLgiZgtYwSfz5$ge_ZF%`P@!9xl(}j_vwc
z_L4HCO#t&t5l$LC(heQE7rTBtS3mt&stG?n@_D=d{jhv819fzC(4M7=I@UVdMz=H4
zx7z2r6@(Kupd?hbKxjoTDz$C|6#8;3g;9J-I8G*v8<{XD?Ez8(cYy4ve_{^XDx_B>
zFyPhi?}(QQ+jIyUF2va*@qdwOH}&n0bR6wiN^BLdEN~odUBy$y!z;&z2D96T6f1z(
zl=(GS3i^*8Ngu#goNN=sg2u&_j?v0N_Zm65lvoeKh1YRy5{|b)
z)%ZG~*S$Iv9Czx7_ukuUc$9Eyuj=!Tzis>J#m2SLCVXi{3my>_W|5JRoyf;SWqd|%
z0F0{xc{{5ji}gP@7kc8P94+lEAz1)pRs><8iccF>3#)~%Dtaw$9}SJH3!4^jpm-^?
z6Y1OvTBcw`H14$<1wcLJ714YU^k{`B7ixUgiZxCc3wH06`$$JAz`<=vlh+Pp;#8}g
z-iJ3lY`24cJ_k%sY~F${&5Gf%rw53`O_FwIlZ=VkWIs?)kf{0%flVm!L@XStoT0P@
zH_&9sKGusBAz_Z!fTd_vRVz(dPkfp_St!$g{Zxr3_j@f(@`!U#zNx#qcz;YWvX&iE@mb04l6&hlvV~GUl2Pf>=f{qU48P|1AXiJ5)iiM^R#b
zU=sm9%dumKU;mHj>3?u(a!5ehU2KQ{@6Z2-2DVwv`5yZ{YwEm0-X8Mt{d;vaQ+Hcj
F`45&N$|L{)

literal 37231
zcmdSB2UwHm+cu81)wT|bizU#4iVKhpvf9c}5fBH+R>BTLW>_Iwt0E+%h=A-CL_|gm
zk(mGvAOZpcLLh9ykP#q|FajjseIxeQ|2K}~_rBlzec$o-INCtS^W=H%ab4$ip6B&E
zxM*s$>wB^91q1|koja?4NkHJ6U;%-xH@@8l-m&|t-5$Jbb2K*62e07Y${8{SynJ`_
ztd+ljfW&?H-xmBR%UM9+M}c$tzg!7Uo$d>HWE+^Kx7JcHS!iD*boQ&)Kc*<%&NzB>
zxJ>a+k(eL95v)5V+d{)?)L#xYYusxR
z{rZ7;R;=9b0e@;u6hBYblU9s96ka{?JYZmib2?|Y$)tZZr@VBgGH}(dbXLysE0vU{
z9_eAZy)631#d^IcI~s*3(>kpUeC88xxhD%MM(#BJ10g)iinFxcjQ@`
z-88zOrtI2`^(Yn-5;|d7m^$eF*z>7L$^kn&J0T%rC}$FUGG#F4@rBUPP{)Qx$Ap9w
zPo4VV%$YNLdxhfa?@^zDAHh4PUP~w@U06hX1Ycwlu;Wy&=AHj@_y1oog#W)i#pxpz
zw=E{Y)GIe@$RszpTu3{uS~VX}@Qicke~h=Z7u8#SEhsHL{9d^Qn-z1~BQDTPhjZnm
zZQ0FU!gjdMrXQE2+$!z%tjkWc7egQrLPF*QT8|R5tLs{?FI9pyct^0Vx7?rcEGs5z
zqCLmw%4GtLhG*SX2>&TYV>t3zhet|y-!A0F+V%5PPjtIhjX7K!jTlcu#hfTClaA3@>?&Ixj%Iwy!pGzlR(Qm5WHZA3^!05~
zeSwM^8jm|R*4nFuZuzhJ!Fdc^U0o?lm9x0aqu@+-sJ{KOsW;yk2Kq!Sq%f*hXQEw5
zE2-S|#U2II(-Tjg(WZPCn$%r68~bxE{Jhj$f7om#F<_#tZ1A@onPf7#puIU&Q#n0&
z_yLaR)$#nQV&LS*rh9K?(}Nwa{4u;RY
z_I>x${g-HZX%(lyw@H;&0|q1$41d)A6OOH!2CPCoHIdBy?{
z&m>^err5d*OYN|9kN~^Pm$x$R6X!nOk|E`q9^zsfJao6!O$AK#G6RoC#Av!iw@diH
zSM*)y(5PVa7)&2b*n4oO}
zP2a0`d8^Dt7F%CAp3RfTsXe#IQ}m+0eBgcOoXcDEJVQnUTRDd_?#n{Kr7lBybQ$T$6T<`Q8i!&N+tt0R-xLJ20{R#n#T?1PUJA!
zj1~H(o0{l~%wRCR8Vm208AXlq(Jkm1e_vLuu&fz*s*qflSiLsdq^pOh!(OWl4ct+2
z=qd`e#Jz=K(u)<9l$2mV3W*
zWOGcRbuK@&l9x)oSG`YX)u$jm2zm8*yvBH{zqDhYNq_IYt#E;h;4h`WCcCv}HtCjz
zugq(#PLmKI$N0Y8rT#L2ZlN*q#~H_&-g005`V#fwVPpEd7(D7#%wHc}=e!$87>gIG
zG@3-qOHBf6+KNK6L)rD%Zv?q6o)>D1k0@p2u)+iMVz+A+^4Z2bkL;N8IX{NCPOaZNAX+cWd>
zPDo2z5bT-qZ=Q!iY>I))ym@~wX*30yPwi@HB&nb
zwd2hP^b*vADwC=%oQ`7qV&*T{OJO=w>{D6|o#bPJd-B=z{u+WwM#!N|<(!GgYe~cz
zomlhLHV>4&OjhwoTXPyFOAVbZ7?*bGZV$@95#I-DeQFzVxk!563T3J8R7WOy=2p|2{O{dF;#5(ZLBkTIF+Is
zQKeS7ID#cQd`O~E`?gLL6W#|qJkKi5*R_bj9is89%(!K>46+M{m6C=@u_Z4h3m>9Y
z@p$Z&=tzz5L^i!Tr9H*g1{>teVYSDwca1ssbv&uqk1tsD8KrHP#rJiMC)O9s#8WDN
zWi?ixokb)Ld(59VT0_l{&Jj+m^5RRZPEUJQ2s%GE
zht{c7^=nV176ET)ACfSGtwK$mC&2CJ+tNN!%;#L_@6wD&Xf=u@rrQ(wXDy_R7N00g
zci@Ib=-=Si)$;IZmQQKCx6$q6EZVx2SB+`fL~*U@gm{;O4)J&%-fTLq)rgPHC#H~j
zr^^>_#}Y^A!Y-brLPC9SFF!=)RqLHX4~EJSVq^XqX^U6j`uZ{R?+Z3hWhMDX=yOeP
zOk;MNJf8{+8Y#qba*c`l;*5>H%lUeZ2FGp|TpGOBK;AadDz~
zGK+D0ZyXXyUZ2e;W<4anKu(~AB}7l0)z?3au9f66H7DNgX2y0Hl0?oc$SZaJ;Zav6
zB*ZyZpN$h0%*OY;>(Si*R=EvHRnnzIQ4kF-fnFe*A#y&v@3o?}>-{kq))%iDz-e8n
zFUC#aWoZ@`Esax%!4KF;_Gs%#3ulhGN{;K5C8v*SMcjAK71{)~qZ>Zv%O`VWA0oBJ
zBob|Vg6D7N>z>|iDy0=g5#$fO4{gXj8r9{TXeTZ0=;?V9y3xzt46VoGf&0>mf5Zrm*o`pO(%{XVnFmoRgQU2m>b}rB*4c
zJ&ug@sJmeu%SuBllknK3r>nINZjE66T4RaYhV7+^W6EaE#pX`=W>yQ=8rOb&caiPF
z);^~~RVracMq&+g!dq6X&Zv*|ruEk)vs<#<#?p|NGamLEVNFcr3wBp)=i!gG(K=lG
zo$Fq4^3{$T)ZO>4`c=i-Er&Z_cwv7`Xum48TJ*^babyzw+bsyqDnY?(Xzua?8K0|wlxO7k`OJiJ?wD?2t~%|gGw
zDpyoAL%a#ZMVI{MNg3DmqmJHwURm7h7UFt(gA4V=s{?$R6~ajIkuCk;IXwY+KfUcr
zlVqim+M(2SkynSD%^+d-A7Q8d{mJ+rpvD)DY-2NZDXupuxVU!AS{oD4FOuxFvXt|1
z!R_za^vgkDLpiDt@Xp9~WS&8P7a5gJtMbla(=E+frWlP|L9o$ni?i=ZEYDZ4(K%6G
zQZ$S?Obe?1)Ic#z7CjMkFEcsh=!fp7v-h-=)#f89qvrLWG;`E0$7%&-wWb^T(Xxp|
zEYUx-xmWXQ-b8U<-$ZeFqf8DymFQpRmD8&mgJZR*z!K65>|v-Y~5GpXn}0Y7%u&;9VCDZz_!G7p!yHd!`8
z4?Wo=78bxyX^Wnn09&haJ~Ll8st}6~tK&UIs>}}FEW=U17qDqe{|-*X{}Dp*e?4Uq
zd;0`lASyho0RpXNErY0*Xksk2WQiovBP%P~kyNn|#CWiiM&+Wz!hyh#&nJpk7oXB1
zMnUS@HZ@V4(+uWrN7o3+lk)6pdtj#y=jEI7dKF60x_HQ4izUqvq2pvOd!XB_{5-7&Hg<$CsPEv$E_d
zt{hp6CC!*5Fb`Xr4lsKMM&8+VUd}m^7$g~C>gVPEr(Pb;@qDOMQ;yQ^drC{O<|YHO
zJNawt06Vp!N%Uue>uTjCL9gywA!t$Ts%T4-7Ll@q4kNN|%YE6#l5bD#UUY)P{$I-9
z{;!Ao3k5v+_|vvq67Bqzj_G_ZikWP`nmNO!Ydr^Gth=!d>7Xf-6=ZEMwcXT&uwI)?
zAzJRtp*2rmATW>4bAu6e$Njk86UFUZ6v**K!?ggWW1mJ-zPS|8*%p05bYQ?`G4^VP
zRuGx%rY377#k7^w^rKZCo6t(l^lurV8xF*Upqb
zQ0%7cRTu6k8fld#hUx$~B9){S6w|BgH+9+MA^LK2l}q2(07huFoR=zXeK#eORWn!3He>IbJ!v=4R1;&2A~`jz$rPJPNP
z+Iw?S{Tlpv>-Dl3*dCv19q;P(MGf|cGmJA*+>3xH8vlsH;c6vNy+VSz%h%thX{pDY
zo_zLL7tJ+P1(eSE6lQ3LL!?ZMhO|d9{YY5t`IkkTQVv31^7=4&4#wjpC%`*rPd7f!`G)AFwIHD(ZUKbX{dh9!m{Bg
zjm0hmV>ntNCJV27y0BvMxk*(g7@LDaLXe5sxqElXb<+*jh37{8Hdt8BdLJN9Sp7>?
z>QR{@v}@ZX0xs(3lf!?-VEBeDeStJP-#6dMda}j-KQt{7@QBqK6HnqY?FrN-^#Sd|
zDtH$Hyeku1Ax*2EAa5roYDBtfi8ZgcOC7v_(C@5qT{z${0m|&BgtWG|
zlUn^DWz9%N7CvxpOfVpIV*#CAlW7n=Y&RQ9bD>Vn%-CZtmx_Cr{dHJpLjcm(54aGp
zmEp_ju%v$Ya4{9bTagp>adJ8Yh@zs%$l!t1{-xCMf0DUVEo>d$GK29L5z{?fMm^|%
z!4|X5AqKOCgI9Y7B!Novei8}D=akB3AN?BloU{WZ*Oq3nIM&3cWyaI?zCH;synDNL
zfx)qX9OvG?H&0#+IUKe;zQ6IC^G{!HnLQ(@v#)d@A}ke9Vvxl0#naqWhG+S_*(?G<
z0kZ6m^)S36Q*c#itj)beK&l(fWj|^B6_CW&%5L7U4eYoINo=R>ZOG322XLlR(7cg2
zGw=G*V_m1g1;7Y)YtKBH?SJ+2_deP(`{|Qg`0(D0NS&o#emXy(?kq>P)kKt%@Tr{Kv>wO03SseHf0=XSF(UZQ)a&rV
zbF?PHEP*5AD(S!a?wLYp=t5m{Ycu-SnbU3ZUe-ojDU5br1l^lloGo~Zb=3J)7-a6-
z&GaNd=$UZw@lJRSWP;H|2T46{D}MOH8A03*`LgT12=DV?_k(z(442Y!@3^k8utT`-
z{7e6__YYbyyoD5W1fZ2!>~^!#Op`rAv3Dje~ygeq#M4h(3DUYb|I#kPv1U&Wd)x!tgXd+L+$!A3WZNv*mTIfL;JX=s
z=8ZXa`Dx8A_1+it$snj_@Yp$wX02IlV&$|mD;6LAggG=r+O0YA$73y&cQ1y&PIRh&
z=rx}VL(Hqi+`oC|@~KbWA~TY~gSS~kJlZqmF1clq^OA}OP`r+=}esnb4WG@eM640}nrp9olKVvFu-4ct8mc(`8$rZq~)%EA6X
zXEw2?qAt@Gys|&D)ZUF<@b9l;5M-@8C=iW&rwU5FISU0h`$NWSL&noeYm*_9?=`zY
zsCQK{KYU?4lKyQ4`Z*#~Tp;LzPLhLygpz7yP*8TV?dr(KPzxzziyWGyx_V{FyGd!s
z3;;ohF8y7rOMqHvjkgb@DTko1NcO0gm$*Gq@0*@(L_X<{>o+oFURzkqS34cWXp4@<
zsy^K
zbDiu&wH6~O%)E3~QVKDZwE9kZ{o5m7ya0XpVq|q9Nn3h8q28(6XzV>=rYhHNHe_Zs
ztsT`|m79jf;zn_Og@I3S)O~NWvH&i36#8>5_5UU>u*sV8U0VQhw%iQ}9yu=Re4*V%
ziKa=!WOEB(KSPhAdqKhCA!88(%9j@>e5TRcKY_}yKU*pJm+_1Ba{Cu{~vWPl=xSJ_?>ByXHZ}f4KfWs{Zo+J
zUr-x>|J(>*Q)Xpl?d{vd_(yOPrh)kKhIMN9VBInS2?o~1$TXu;`oQ*jIkP{|DfloyaU5uTo&BvlB+;!IB;>nyY*w^l3I
zl$=bEvpK+LoALL7Fyq-9&~DO_}KgbsRP=(A29i
zHT^^q=0k#wgIb((ns-i6Goraf!>Tj8*GtiLWpu`e-eJ_NJr*IU(<16EULVq8bZ>$C
z%<1IRd#~$dX|pn(R4CL3^H&F?goOC>3j94e>7kP@$k~di!cVia_{d07^J!$B!-A~d
z%DICP%R{~`I!pSBucZ}M&P{tc{d24
z&)_Dc{azuVjI|Nj(rc@D{xTj|T|i0=u03H-tWQSZb=17eM-#49g@*uWYnasB53E%$ZSJQmkbuQ-hB811
zW~7JBJb;w|ND^xdDXMxE3-`dYoc)z|Bdi$>e_ZitOPN6TG%
zaUFd}S`LTxUne{+x`6P=G8VRz_R9YE)k$X1Xg*wrEa=FEFUo>aI@j)zQ&0&+F*aOWzeqE3^{_`$#T5MFoDCyRtS_
z&6|3x!Eot0zL9OW*oc2Q7a=%|g`z6cjH@b4v>KWzd67$sm5~PVMs4Qz
zZ$F3Bmj>qhSg!>mPDx8wfr+c57b5{S>-H?H)_$usu+j`}so_YDkBZn7p`ZtVeHbzr
z@N(g$PjW(4#BgqEDXpGrjIk6SNfbf6Y9;~Tc$t*7B~AaaeEtf+YD3)qOOgr^tY~Tn
zKjy;c8St7<#H=JvVR+4`DzN^S1~3>OGBW4>*w!?1WuxlU7*B<
z)rEQP6}9i36Xoqr7wWn;rT01*VWYxgMAgHUcJ)f%fP97`=+{{nU0KnyIbodz>}0~C7xEmB0%6Tg;q-D
zSrTH%GZiP~!9w=E->!9fbB0@6jif4hj+6j+hYsf_i5og-Iy)O}T
z4H^#2_kq!M1gZuR*ma;&Z=qSs$5tl@xJjsbJXYj2)UN(GGhIz!$%DHW82#3l2K1_c
z<7oqJ22U6}RCN0;0!mU#nsTx269E9HifW1CY
z(++}A=i4Y(T7#-uNc;5Z(^;`8oKHAH8WF+LyAAqZ*52x^oiXMPnD1|KXbWv}StyANZq%nNEIIx468X+zpFLa%WiEc5hFfwNc9aS?bSz%pJ)#JVXC8eC<<@I;ba}X47WY*)xD#
zm#a*Sok*!BO=e8`j1&_W-aTRuPhJaUp5?CY5o)C^1o$x}CbC(Jqf{48tGSMD<>DZg
zSbDRPU~*h(w*>uaN?!NL@h(ljn631c^zoB;!!gsJjI?Muy`z>ep*F|2qh`3Rg@MHn
zLkdmEom0IljaHp;&SCXQ)ZWol62B>=<^Dpt8Zd_*_$_RDt?*MAFiIVdQ2WqTYlXZMl|N73i#dW*4l!O~$`dYSQ<
z!rr%b6U7Gozl4)qP5ivZFLLL5oV^T>O9SykQ9Re4;HB{8;-4OUODM&8EA|((`pC
zucg@Q=^%Pt#hUVUpIVAd)W(N)b{Pz$vgxjE$SftmM9)r^Pt@80?*ykA=mN2YY_+Fs
zSGMBeJp3~!&#yI$n<#+_QP^E4jl8AGIn0OcMluL8E^=({W+-bgnN9Z?8*)%ZryM)p
z!S>ZsT6LpUST=pqlwL(&=qv;-i)T5Q-6|H^$*KX)o!(v(S>5k#nhoU84r!J7{)@Tg
zQlAIom&Sq=NDxV^>M~W
zDsY|-7$%KT7D6=%5cm9MGYGzOLmV;`7fsAfIyBitXAQitrX2X(XEc7W$pEBZfx&FJ;RFE-
zYj+SRs2s5-7iEY$MMSMo1&r3#R$rWD(3jghcAo2Y7n&Iz)@mI9MU0P@uQ&?q*IBJ@
zH3ZE16b!;*02i47Bjc>-(o}CS0|&W<u&hPDDZi
z2jdv4-Yi1tscD)R*rgEgp!!2x1A>C;VC<`2XZnL;V_%9M!G-0RRKAuAsEP;wpjFHyfeuO=gzB*bS}W
zHndMc?@T)3L;*-$vv6Jt&2Ej1e5~$c9}wVq+OHRoN&qGT*0xC!)0C{ria}9iAlw98
z=lf3e3W-gi5Ix;WHrm;&9UQHS-=!;Nwp)*gI~~=9;TmU>+RAH_$HRCl+AAY*LPD%e
z;Yv4>YWq`@=*Y;w{`w2#${x=jD92!R1}yJKAdrg5YhlKIrb4VomrQoVQoK7d}Or6`hWS{i0&>=Y-|@71alpCz@i
z#9Z}OyC3U>H7*ckz!hiDbyM4rX5GNB;fh?~K31+$P*I<%R?;&<&5E5XOjGwa=y32|@%86CP
zH*v4^cZnvSnOI%Sl=0{HB$;O{=#EkDGar@DsBUi;OpiLxtpIjg)G3uV(#o8`^-Q~!
zXyai$OZkxg3a^kyoJA?Q;QnMJZ!H6C0Z
zC9A3*)0{Rd9%%z1^J6z&Y1soT5T>ucHiN3}ndSs$?7{%ru#tAO{{ujym7ppZytOrb
z!FF8`WAc$kE9LDR1_x-_gDP)K)xmEQzQmq)a`@Bxl8DcdN>KC}0FN^a{t)+?Y%415
z3$oGIhp3^Ofd@EfYK3VfN>hic_VJ_RhtXK|LAfaDeo)1Mf)3P^_2b$D;1(?H05+xhk|?EHOGU!(F^B82;n&`19eM
zJO>;ev&K-=D4Q{S)|jY(R|nV$IED8ZNudJ(Q>ojMv`9x1Adg`r5qM>ON+-;uKNBmg
zI*U{oJ2Y7PQ(z=U8ya9kf`wWB>!iRP+0Fa6SBGM`EiixKtrZxl`
z0vM3*SABfb`DJJAGtiVO@LL|bPo2f^SD^?Y49iE*{Xq!r$QuUISvb_tpuZg$=Y)oi
zAmO-tP%?P5fNij_9~t~cA^4Z@G3AU0E#Uw4?Wurg@dYG@Yh^PC5Lw-xV2{-@c
z&l-0Uy-Z&1c=Ri9Mg`?~aH(zSb|7aiKFh{eIv~z-U+EyB*@C
zJ4q8SfvC@}y;xT?b9Pn})KkiT*phvUmC=Kar}FTvWZigMn=lSPMfc|6h2Gx`vvfc{
z^&;A#Zn?$a#!OB=Yt!KzodiCl>B(2Yv-3Se8kza>rvvD?Uk=?6?ZQ2?_V$JJN1gWv>mQXY
z95Kq@UtFUa+}-)*BnICacb9zm#ko@d%rT#xM*4tgdbpf-tQ|zD{S(EPgI3V?GV981
ztHCbgYB|xUrOavK6}K-C1te);#bP>A<1$(PILE3V4d|d2cHj&-N+}
z9lYTsu0@_bh%*c=82DbTGuHQ+9bp`oMoL@C@riC~WqWB$XBIUU))yNXsaE1+u`T7$
zBvsU$N)?g3An&y^8*|ShDC~y4l;-n^#?xTt>Lg7uK88=TrQ)`Dn%QRFhAR+m2)Rq0
z%E8AJHn(M@@;^o={^mA?o`f&6akL=>`J2+>`_o_6^m#C4Gk$G<%qILji#Ov`OBBEC
z@WZ`MIIn*#2ISl&`!9z|r-Ir0?2rNZSzo{SclTUU%-<_#c+W0RL|K|C!NjDHX;-e1hj&~;150!h8~tmm767#8{C$gE
zNIJ#koH*x@5q2zD8?cIudAClgQdIjmvCG}UUJA!XhqcC5>B)JBW|RuG9&EfOX_kYj
z($~lG=BEH3xmqPxUSid&<>uTe5@
zQx2A`*iw?Lun)}eAm4Si|IWzqS*;;{^Tb3_tf8>{!;^n_68BtxaeLQy$m#s@ZVl@l
z{x(?FH!rQ+3Zu)@dUB@%Ezx;7kE_&C=B8M7h6S>m9L_eXu`?hc2DMJ47
z&s*;e>TC~V<^7p6OM*XH?R9^$;AYzL39BphJgYwa)ezIRDVKgYrmp
zu8PNA~v69Sz?HO96&bW9%^^lh_fuaKa)#5^CCj(-s!gTf2E7U0c)r
zJ@i*VRuI$GqUPE41N1d$FAv_?xEjDfh;Bc4^Jh`iUw-dD!^Vf$r3<}wm5*ZQ3IY0x
z(V8i9QxV$`)+++1VAB&|W_~a_=&KK_bKhpo@k97km>(hY2I_KKNPYm0hsWauPv+(f
z!*(x#d}U)a#~!<>MQ2xepUszcfr$UYs
zwlzW)28gNI5Q7f+@`n|8jwu;|07wfN9TdW>mSV&qb_9)()Q0#Ij6croJ~oto#dtq{
z0}gb_jqb0+sttM-TeH$;!)2wVA!p!Kn4yafJ!ww?T!|qJB&iRC1EF#^=-(4U!g@nU
z2zZrYFN)(2+7BJphJ~R?2KpTU*)5dfvO^Cv`mu7&&>q5C1l`X;>(R)oiHyh@dcRiw
zO1I5G^uTVc-K#M6djj=I3>tN02vw@J1
zP3KTwIzaw%{K5{8`cmH-AtU{~j;KhJUuG9t^rVFCgKt2^+84AE)EJ|vV^u!(q}35
zaKrInQ4YGfXt}erYCmXFvkUA{qY-RMGR9GrNy9=x`fmF8_Dg=fY+2il_Y^e1YAFfrt
zdg;;N76N*_HX3GOk6ofeLTN!WHxRSiZ#=Kn0YoJt%t5uBeJ<5IC3`75^NSZ?
z@lA0EzY47U%MRxzvs5*5Z+fYnD!A!Y#oOwRru5lR@UPJi>zb3>chG`VbS)`CqvGe#
z@6SK;Dv7WvD~Yd8`)EYFPq^Ur#HuXdQ_?UsK)+@?L+dV5klVz#i$va+%J^v1M&;TS
z3>O!xMLZ~o|3ICo*%zf_oSxG`n_>b8s;KeUB4b|Lte0kmVhyaHYw7t&4QJH7$-cbQ
zqtHokkOC3ay>!dZ$2@L4*amL|BFOU(HS5I?n-a|7`T_E*Ynzb&T+yjJiNr7CG;-B0
z^RM4@NDsaoc0Vp(vE;~=SD*ouzT9A0wWq-11Z*N400k@R8Xv@(8rbj*v=cJ~@ce8z
zAfXJWF;m9KREr{oIDnpM7DI{;($@h6`-3}#<$JyRfX7b4VSUna2M0c|;nfV`xvW)I
z#gPlIdOV7UK^BSuAvQ7+By+8N3}~lhJT#Vn;6f@Nbv4sl571s`xBCvDmujzC+U*At
ze2=F(=wKAoVPDh+t+T{|h}GIRcXuFw%=6Ym3|E)X!w1rmFtif^O3S-+ykMi5{8@>0
z$;2hq{hmon7aqrP3xEcd4ysEH=F9dVYcdGT%Ot&35|Fr9-7OJn;BI2dR%ghJd*a@a
zTX$>xm=1LJWhni5m577guD24W_W=A|f!9&ZwPbrvc^C~8Hm16I;dJ3RWJgq
zf|C`r;KlH{4tyjq$OQw}TFH0bvw)H4a?L;wL$@H5X`oH(+DkX{lXevW0KaNAkHjc1tGL3haqjw_Ak(^L5ng8@h8;em~AwdaTN
z19I&bvl~sNRf7=mg25R8PXx1DjTk_Xi2@2yT4y!To8b5e3HgsV_jxw~*$Oa-KoRF_
zOpgQ4C5i$N>D!1BAQwPYGV=92L?M7Gf{xg0rQUs}tI&<~XT^Mevha#`;MLQEOz^~l
z>b1sdtPEaT3EE8KZz%X#@|b0A0hsZWt~vnuO?oJRU4GXJJVVRzD>M!yX$nGM56n
z^i2;1ECnGJ`3F?k5tHP7LMf)tJKa=DzJ3k8o)F5(S1k{Nr3GLZXr`_`C!6;2ZI3oE
zoep=}_~76&Y6eTW3*7pSC2^vA!W=M^of_sqbAcmB0p}1(rzIq+!zO_&X;f)1MfHB}
z&Ikq=^3-kMzS|Yn@_h)8ykf@*)d4$IDW>m*R^vi1OY!_ln6cy)lW%OsbmG@>d_V!!
z4FG1R4w?ag^CNVK37i68j>XesJ#|Rnkqx_7`FqW@6=U>x%h$kTHZG*76?`cA0pK83
z2O&Zgrc40m{4f0|Aw<0K_TI7se+q*OUWat$ujmhwoKU-0>Km_(Md^tf41ywovKl_3)SOm`JA8(t+RC)Eb8
z2<)FvdUSxlmI2c#FbyAtg6RnJMy7kQz47ywP}hA5lE-=O{v|&JE{3tnYgwge+(5mkQRBt?ecLj?$E<<^M6G
zF+5$P7PS;B6%a5)@8qJ|>5r|~&U8FMr*Xag@&-Dx@o8_!gF_E99KM^LvP+yV^Bk}A
zaYy86-%Cq#NAKK~-H~&)Pu76LIUH}+_gejjEnSsP<}6k7+|={iD5d?O$TeUU!U3N|
zXiZ!S&S}AO09a2oZ6}#b8~~EuRv8|h!2U`J_Fe06SijnP^X)F^<=NjK1k?Wje-$Ie
z;zIkh4`#JTiT>nIu!-bIuhhMJ%bZ;_1O#55iCtO+anZ)5kF&T~2dvlRp3GmN^&-c$
z{r&=I^|s;7+>MMp*$Aa@A)eagyM%G*v_AAO2YEh!`fmTCWxFXnMZiw#p~{bMCPaP*%Ja~nS!24
z;Mb`V0(K9$(Y*>=icXs9u8b@X31UP*VK}ZPt33rK3Ap<~dC^oR*R$dEXO=pw0o@x~
zv>)l}!m~4|dv;-qk4yS!y<9JG^CiY~f@+JQz#CQ=29Jxt!ILPrLxUzO2gA+r
zBCkVd0CbAwSrmBmc)`O@EzWzkXL}s)QkqS=sT>@A8p1?i)`)>g0z4)|C?uT<4d`%m
zph3Z=S+{4mRYEO{2PHT`aE4dQ?_@G9UPs?5tvJ%VvmfBXI-sRreij6>?}kl{RZKt^
ze3Wbkjt33?+5+mD|A$|;@1NNVj=km4b#TrC2M@LV49OUW1&visZBls`A2!Ka3l
z8-820>U2q*^S1io6^CnDdXG#sPy8||y7S()Xu&?!?By~}sI?T%kVTLAy;QWx#aikZ
zJ)|VkB2TAS$Q_*%(p{rRN7`Vp<@Bk{6*#I7!OCV{~PIr?^S5_Jost>|$4A3-C
z3tJ<==PU!BtnE^|JzZ`j4j08EFN*7M3}a_Mc*+ATZ-ha`0DU7MjoJY_FnGv|@P;n}
zG=^vc!X)*HBI#sw3vd?uf@gie3ITEb`j5a)@7eX@CkTq*(`=xt9|z3*6(YaRG2Kn9jzr^+jAF%R4<1B{XCk8xyUewK<9n-!Wqltkjx&Ujos}}Mb_6mA%Ux96
zl19YUw9OsaMqZ2&>6*iTbDZiedLM;Bcbg&?lTnOk-dVsYBkkCDn$n}JqVjTdpxD|g
z(I*eEZ_p?XC97dl#=57if0HU%yYmazQuK1(B=NcE=($dS>Od(D!j>4(rLQ7ThO2mQ_fRS~u?nUdt@qb3OXzud_Ca@}SF2l;lM7=E0_-lkg!zK&J-vNO2Qqs*R;B#ge5ZReU%*VmXb`SGxfl0>Q-MgQ5pisgDlP;+Omthvs*KVlIb9T6;c7%G$
zICvq+PwH}=S80$WjoH?mj!ImQ^}{}4Q?w+)j?p_%S`K@;t35R1U%jfWj0E;tbT-K3
z4er_Hyk?OBJEkDJ3)--1p!o_g8Y?fR02@442C#Z5*$dP^fNmC96ULk^_Kjc4n0*)d-$2g^ur09MeWmkM&WB5I}=8oU4^prU{^
zJQxri@R>hk?I2Qj@1C!GX4~j?N4~)-N{Pc7;%6(h?N8$`_p1XZZqi<8q=l5l-BL|J
zpfY;>OV`K7f4YCLh`O!RVAC+7Vr8(^{`n?B=bSsav;Sd&+x6+qzn(1kAwlWsmk?ti
zmuV$FE8q5A_K8i+#o7I8;4b?uK3Bhd{;J)b#D+~#%!cTt6v3H-o)ISzcafyd#3tm~gG=j-qJFTU(
zaRC7@%T`fJg4?r`esX3UAZ`{EJt&?fojRG?jST)y?^
zzi-$||B50!`uXP32LLv#+x$5>{PH^+Rk?o*Y(YNYgZ?#?H+I?AJ^Y`1O_9dGc#`b;
zHvq>S-n`gD$kEuVbBB;t#;Dh-Yx)ee;HKm=c04Tum5rPu5;f9|BIZK#-H?H^wr7#
zFlVs|1J3_*2HQr2z{&1yo=i;E3gLN`L?(0FaUqiKQ>Ml6ERb{`UP96_AC3MI7-}GDBv4{HgE$Fij3vU
z4|NvU2!qUI4{#EAIHAliG%Nv&uxv;#@ZrM8)8YHO*seCR077=0I+rSvi-d}Y3^|;XgL|F#ZS>+XMn?q6E1J6n)iCBdtaE!ay<`L
zTh{V|cFJkF0=&f=p0TFsX^OI5n~(9s?Dm4dh4NQo(>gC`PJT4+Gjtt)DiFfhZ91a;
z88Us`o1rAV8EB3~6I0V{(px#&fb@uryjJYd5vdAMMWo4%7v1DhqU^?2J!z%;l;q#2
zTyYBpo>vEYQlKDE!wFQsUk#T2$TRQgp+(ANF8u7zJtII_Yz8$#7O1_!1K~hlLSHiM
zW|o#V)d>t}{N+^Y=UDjPn)?o@sIqNa3@u`SMi7-$tt3SSQIbRhQWi)?kSrn+iy%2;
ztAHSs6o`_eO3-3er2QGhVCb*!;@zhq~
zM?@I?&4C&51ReA~pN_DrL3<262$18hN*n=qK*-0CT8wDw1RQD!FwR7*LR(!Xjefqc
z3w3Ae7ACZ$1i5?u2);4|1uB@|A=w=}ppa0Vl8engSp`Uz&J*Qo-{ZP5MeHR22NF;u
zkja=?^?Dp-fV{}6PT%U_CQ!zXY^>eZllwt5KP$sbop(rE>b5=0u8Sqohy_jK34k4U
zX;46na$YIw_eF{yfX=d|hs-G5$jQlpXf(Yz>V(J28SLslCqpjyD8`rjy`Ojd%dW=K
z;v#egIa5j~esm=CYv#RD`TMjo$*E^QF~={co?vS;U~2I>AwaGuDLbLpa!QnV$+o$G
zS}k8INsoOKBi7$?-0tdl9aiCQXcv6fzZorDR;em&
z-$z(j?bKp^LtCWOsMR}lia)E=%`owz3)vUSP&suKKBo^GZ4^Hfo0{xzH4;V7MRjj{
z+W#{jQMNh2efP&V*$*8gv@6^@j`St}$X<-*y%Gm8K;!xIBln)Z;rZEkd8o#$#`eZA
z>d(#liv20QpZR$Zqy>2g%zy6m7a(^2U7mxCqD)-Q-{nDS%DflS9y9_eXm@3ZsNFJ{
zRaEi$;Jd367_|!swgXKS#4p
zB_Z0f4Ck?*k?uq_8MFC@EB7~a(M?UT*to^rcEC!#&L6)gGxdJNB(i*RPvetxzwn*$
zcChEPnJK1e>Mt`2-8-}_97HDdMqlmW>m&9_oIhd+TO)BL+Co?@Ci>6Z>H@C%{OVDP
zJ%1b4V8{wIevVSmUF#Pfb7t;ZKVK-c%ufDjnW@bK5Ow^|UAr}Dw&q^OZOznUz
zF6#W{(ceCRhg8Y(z>iTzVxfM`Wx#&^OoT7kL6-N!j;9uACr9klK5G2=!t@Ph{p|Kl
z!n52V%cByNFCYX9EjLbcYKO6fvE^QU)ma@kh>hDkgQa}80B^onS6UVi`89_d%g*s`|cYJeSr;TY@&*6*0)eNcr5f=~$74o#Qh@
znYW-*E&s_XK6aJ(vR%GAMX6muE}6ThiXo*1IJV-^1->(HHPR-Qnq;RopK=b1@zeN`
zo{dUh*2(V?WfSAt`bFD~1E79@4xvlny0tz=A`#!Ulbw7ABexXsKfMJS_G?r8f43|i
zs__|=t7Pi)|LDl6{V|~b@<;l`s&)~Vs#3ydpTpT8#Qt*%M_iB-zP>Vj{H$#y%4&A7+74+87Jg
za30(4r%T6fPb9^O&99-^l{rMXwze=X5`7Ug*S^hcThUnKA2h2Fkr6BmpoD{IT7leyD_Rr=1lqH@*)p@^4!fV#O=
zVIo}U-4W01l=ksiGhc2!pCu)saeWT!~aIwij@qjALx6!PR|{hfMCn{s%w2
zCja-B{+EyTZyFu<8}tl59qmFs9fV^W)y5PqtuSXgw$G&bHnWGhY}|BA*jaFxV*XgL6sFH~9kp|=vJ>p5eru{3&
zxn;+$M)KKTj_&%&1>i`+wT|8)#x3&jwnkVIQ_F&8i%?|u8Q=a8{ww^`p=#slJ35&R
zT&GcAkOU~pjJfeYAO&r6rd_~$3L>LxPAjJj971a8gkOXhZ6ki(x_kgHg9ceb!gLE7(cMI0V)u0`%R
zAhJS`%TUjhZkQpW4@($@Dn!3rwzE-&f|hw-b}w|noJkt}-k{Q11tQF;U6*>eP&$}!
zPaUXH3%UiOQ^b%1X>I4bL?RI?QCgRj16gvk?Wo5J6x|c-9|;_Psb0B5a2CHn#FAz-~jS
zISt-0(9k33Nbf(5T;6@^?JJ}qI}j9Hgb?;UwIHuxv}siUAUj28%eaULt>7Uj06;Ez
zbYl&eYD|cUd1ho9&@YjMx&HF6q2b_n0BY%7Lv|Zd`@8;AyO*ZEljxq`W?X@g6A^I(
z=!Zc?bOnL-iLEZf=XG8{e+;280F}YE4%2`<6X3Q~Lx^7%s0=LX6px06KdwE8nCDjk
z2yg-(9HCbr=K&xNFpOCV&K0t$km
z)cL^`*O?VUQGM7|t3kKz#+_3Fz1B*bwz
z@SZceQ+uVENAf)c`49Gq6C0Co6o{$fUeh#{l)KBF@muq|H>WH%APS0^LBwtV;Y31@
zdzT{srtc!#V8$Vq4h&hW*n3y#3Lv#44^+4anQRyFffbCfR*^WeUA41{ngez*Vx_Yy
z2IkN2f`5mABsH;sJd1|edp2fR_XxHgknbs~Wnu_XMC5Dz?Tb@Xkr(uJLm%D1My!(G
zJFh=Gl|ijt*;)Uw<4{L?Ja$LpI18a^j9W9b?UE!J(y;0OUwq0{ULLEg>
zWuqdu8ee_Tq#D;*xyMbu*xoSHeyVIW(>6iz(L1)@Dy&>cVZcY9H~ciX5`GXB3Kiie
zG<>58i~gp<9Jx#wF{`q{p%J6=LHg&;hp{b&t!v)FH=~mSONsBrk5xvjm#)0?JxZ1t
zn&SMS2%r)=WUUQ}Zzb%|B1Q~Iz}p=xgwTAE4_ZFR*$`e{t98I=(UoQZqk+#r89_YT
zcVC)}KyRQ3(H32D5tt?06B*l_W+0I(08_O?=E6XCDVQ!KNfx_8uYV4vXiyXTFTfJH
zrP>iM{>lji$`+SSe}-M4=gzm4de~$%N_EFXId>G(REYC=8&94*86zz)UG)g%$Er)1
zhKS??)5CK5Q9*sl9-=_>-ahDl_#oPxxeo9TnL`>q_daX@hIQ+6yp26tJ%1UfU-muD
z3-!DGN|=-4rWZq+R#&UUnFadn^$?p1gf>aLU0WW92^ge;P8qt`6>*QcB=78TDmH&<
z{SmmOE$^IsD{t^@KUrnHglj)xN#F#7Z{@Snj5wlWjo+i3@zwip)2whRDZ{Jo-ocr{
z7^`O)*Uh$RozT%!BP2!b{vig4L?2d6vsG?x*=wMP4}=wxQOhn9fT
z@}yU%H9ilKKo${q5YnWVm&3xyYknuY95~^G6ETQe9p-jB1r+wPHl|2$yWgl-<8B8x
zJ@*u~`5VF`(A8l8y75ae%Hr8xfY6d<+?I^kUVyEKZ71Q%qd&ZWHV$p8iW54F+{Lpu
zc>9F2q;+(3HpkH7-Vil-Ky9`1zVUURQ;@#Kqd6`OLh9liQrx_Du`O6%ky>IxLqz9($wEQ!NYC?@vITsp2NLqUudTUTM95;b4^vxOTIX?
zyQesL04oK#BOq>wxvsZFR>Dovm4TEIB#8o#8p2K?789F9w+-_lU{s7{(&%EbfW&%3
z+wmM&{!xQP0B#70Hogo3l^}y0M9$rCTbbF`LXIQBlEmw>cWD&}I7Bqt{he=DYqjnZ
zqEu3B%q5&3iI_Q^Q3rxykUslK1_0CiY63W5Y!D8AS(#gyaLDSs+os!LNMSeVPz5Ue
z4)yJNqZCUH*ipV2qjV>+G+cLJ;6z*&%U3b}4INHRjnHK$C1*~V(9j-s5d
z%#E5_%_TB$V(_)r2FH^B8B(xT0e}C_K<-BkipD2?&xUe?Ry7$JZ;!F)PNupQ_YSV5*dA3z9-8HiYCvmZ1|kQQ+b-b*d=5>KN1)KlCC0
zO6l~UuP>B=qDM9vEoLjD=&<1LbEsqFsps+Z`fNu;LMb~DyEZL;9OaZz9#GjZ%BWae(8j4P%p2H>ZWTWK
zX2eQd*|{e$0_rX(u5!8%vGAF!nNQuF==1t+aV{faZAAeShowctvi%&1m9qXbcGtdk
zk4QJZJ1Vvk_353OsIFU_F>m)3vk1ZdXqEF~i>|1%VrCO2H>6y2biOukw^m)U+1W!T
zFEmrVJ4k;6BL0nI@s~wEQmc_U#rx$q-bpqekvoxIA8O@|3l$A*MKgQSaZkIY*kfa%
zB=kzP&=)hg-dw#;DV}{<@y=*re?0cmm&i-@P_?G6mP!Y4IGc4Fvr|Si+oj0lVO#I?
zqA1iUR(OVaUV60;z>r)R7W6eFW`#5gvnG|!^~fFWXs2AeXDm$NE$){VSmm7P-+C+P
zajLB?yKi`0*{aDyx01e6AfBDHd$cQs{r4gk|8&`Xk2ZJGa9fs&EelZ4%
zpgTamY4359`D)2f=2n|7kVmr*%W$>+L+kiZFIYQTo85~fTtENSYhp&)Fz$RBPGne3
zUUMi?mDNn47?~Td$&@w&%i7v*Y~<4FUH01e-6A8kKiecpN^*$Ipe
zC`l1YjgCGcs0(dnT9$n5ipWG=c*`P{JZrBmr
z7P46LJ?p)H`xAwgY1@}v(-;XQt2W-;?C~n)peaGpbo^wXnwdt9j)|3~zKnXl3fA|<
zEwpV%W_Wm|&I^_MLW@fEW8@=roKf>bkH0=HbrW2v9R7Xp-WBHQ1)iZJVGCDBi@8fj
zdm0@g8`l^O)Iy2$k`hFs2Yc>$%F%*F+q@Z0-%`rm=)bw2<@@nOz*CJm`#tbMetb(|
zmoI{R#3$x^gA)Eock9Wn4hH^s!F%tnFaiE}kM@^c4@mf9=GjBv56*;aUV--i`oe+r
z9gwYmQEKI&d~eE7eyJ6bz3?ree60y5+B$eTiEyd^@^i4_Cb
zSu=ng8m4y3lWG?=3*-S4bOf+S*!lu;tMK)tF8i0h_*<><-abBeH8oRZLixu*rD>IN
zOTC3R&t=0F+m&6Rw+7|M>(J1Yo*vEN;o+J`3!5~2yu5}peI@Ig3yrVezDedzok?g(
zf+ELwYkf(`b+Z6OM@HD50tF9Udu$n&$ggi;PzUGT0co}nd~Rr&nbSQy4j?15wzj5C
z6lA1CL=cA#A8rXer=$$e5EjOW?aYj>xRI@UGC3usr6F9H58y4XHR0VyCL=qj85I6>
z1^Vc%fVA>i3|xEe;Zb|(NS7)9Q6?c}ID=JLUj7weo3Y?o-)BMu8S`0TVGaBu$gqqD
zKfeHe=_}onhbSl%6czD6rJdw+6c88JaoJdI1Is`@r)5)+PThc?QdUt>@!>(dO7L+P
zH3*3W0wG{$*P9$}WN*0s;o>*P=;-3FKRtlK!;O}-n-d8#cwX~95jIxVT!*q-w{C?9
z+oe}|4Ztz7W7YmFmt|T~wr0PU+W?*hGli3zJEH`(TRy@CxsuRy_HZO^FN+;H74u|P
z1FsC!-_m$qK%H%;1o-(?0IH0w%ATKp3~+6};L&HSfOBdcqNG$YGfU^vEclZCeFj7H
zc(<6iH^V4o{i`Qx5ul42n3aH2DL#A{hYkg5K+RW++xTP0j#+Q6S^^DG5u^C{INYD>
zWRJ{)xsoAZV3%c-z{ejS2Lm$>hWKBQ>aSZ>MMVlfI5?PV(!rIcQ`T3~V3u#PGTqx<
z;*>v9ADRFRkI#BUY8FX=-*2fCOoKP>jgOCq0I8czFO1J5sLzpfad>o;1VEeu__r2`
z>FMjg+XkQ5{K9PjfmHfSU5I&dn!)i4S3I9Tcc|}p`GJmhv85#E)vI6OMXX(-U(Jb%
z`fYxnc1Xm{YAW82+(v3@>aWuQd+~NCK0(1w&!!Lkyj!kWU8c@eQFj*=_K?P@@19F&
z8J}}fQw#QE7EShNL32X3r3ZLsc$|;Yd4Qy~;T{V|Bb;cNn9>Rhg{Fx4a%yU7wRLq$
zQc~WPeoUmSE#Tkq88x%Me)9%am?U`ryz%Ac`7SOIIx-Z>x_4bIq>1kZ$$JCvr=efPs=*D^eyfmoS!r_JGT8}Gc3}%qHZ1wbF
z+3&oK0&HEm#Bm7^>w$`@17Z!#J^^fZ>mU!DzBM>BL{#pv2^O+Rj){%UvzyU={ra`d
zWciPGevL+SB1p@^BJ%(hb1LFx>Ij&>4NR%yw6te0UaaqBhlsMZ08q4gPb0*VrAh|#
zF@T!x0{)lKvqnit*$z#JT*oEj5>UISg9;!t-`B^d1>U*37K(-@7N(_+TMkz8-iz6X+rBqB6f&hEvn7(cfW_-C`FYUb0YFuQhNHbrNpcN1j^|u!!=j5
z6};r>QX?CiypH<^_7mVBftBBAi+ZPBR}TKxgsynE=7h>Kx=8Mx&wO{lhUdsla5eG-
zL^<}RC#3_ez0=C{)b{&42b0hSz99=ip{b^LfN5_5sH+SSUP@Y;xLJKuLgE>_Y*^>S
zy0`ZsA@knU@u54gt88w4{m3h`(kPn{u<1@-eyK-1G#=ynLAu52;M$Xs5ZO9;9i0pa
zgeb{EkQXdU`Btd#GUcndEHJ9!)cvdQPLOt4l9v5fvAyUC^#6BjbzS
zXgEeo8;8K$__(7C{PxZtf4&i?rD|l|BX6G7s5MbRn>1P<%7LkEY&5sr*xFc;#zTVM
zK2Fn!Ly2p@c=2K#sDeFJyZas_8h)7%pXA5H-014+;=Fiq$=)=ov{bv_dBGRf+|}2C
zfoDZTiYt3(#|BUD@wiRuI(<
zeEnu|?=ht|Y!qo4`Npupr4e3udp85NuO2qa56c0XV=9u8k|`SwvmePd7`KS0Bz@`M
z0otz4#>S?V4Lbf9WeI5QGilI?8$WiMO}+BJ{;l2m}>)ybd_(Beu0wxfi^f
z--K!FesJH@UF?u!JKd86(LE_QS2-&yi(bGiY`S+cg26V8m(o0!|T
zy&PAjFJh9@((b}U!?FA>4l@aM!vO2KqoZjhvouf6L-+=oBt8zdl~qCd)llsc$M-sW
zHPzITkU4|y88;6KLPM7@KR?fkL87p+
zaWXR6YjE5{-ou(>m}ZFBOF*<+g-{bPF<}hO&DZdOVPUBtheQ4@6#Q(vy_^_F5IqG31&s`O4aoU136D(2
z%7*Y_fcKw?{ANo*#%ZyMSEp|xKMcQtZ0h=x6Jzcz334P5w)wN(RZ&?-=1g)jr=9EO
zq=EQ?CGV_&Y(h&o>Y6lME*|n6?d#V?41Y0y_wL=al~=FX3i1hX6}B8jJ2&%n^T_SHhrnenLm@?h1H?ALyb#C7F=t*S7E8YVNQ
zDHctFoFj;pje}zYx#d0k4iqe~u(4HC!S4FZ!=rG4<@D)~@C^#dU4-nW!+!t0fQrhT
zhC^2Q!GjpqbNu}6$VXo?UTxlDy5hWQfkN+dvjV#2`vtvk)&63B2e#Q^vkphWa)*Z`
z>#m!vxGvM;tkKL=D!8kefH-0O#JT*^BfFLBr|5sCYyW|ADKujrnUIfB2-E|uz&uTg
zi8;e0VlU6f$44)0n+h@TJ^xf}cDAB}gTp%bA}cE>L__Py2-0@g2$aB}qDb$tAY&nD
zZP+jnLLoF6^GpLJRds1;2}%D!Ufexcij)Ogkhbi`D)3Cn6Q;|>8HI3iayCP^HD#y@
zmr_`$J~uaq#3|@ijJrN{aC${0ssu?02sW9HA3vUyntBHwUlk^9yi92P>guZPln>+h
zd$`78ryj0`R|XP95|T@-h*jf&s+Fx+QBeVXDcmA-XA&X8mpHAok2S^exvX1jff|IV
zn|qDAQ>cjQu*q2R!izfSQ{);nM${38G<7eAH*r{=Mw9KpoD{8u)M63DM;}cb;GpJE
zg1F;iB9iXomLpx3gF(K01xeAsn_BVSy|*2*=30BY+A9gvm3*iD&8+%__IQ~
z&Ux+}1_C?$uLgdpy+o(oZrb$sCCQ}yhJFOHPY8r!YT>O$0&d3z~ZCX$><74}O|
z0giuuLBm`p7a@X_91~#LkPj@8IAB>gVx`6QQ~txMCz%bs7sgsW&-gVxJv}Q%HX)~t
z@D1H)yS?ck3g=L1*MYh&t+&VyNlXiYoskEkSvsG`-^kUQkGtGkElU@PED#KDkajhA
zpS$FExU@sf<=BbG`)5(K_Dy>G$;r?2@!h3izw-sCCMkIQF)%xl#&$1*cY}JV^Ltox
zHlPLsU&uA2+QEr$Cqg$(fkQUz3#2@`&TEfxQ;d|J;7&yG{P}Yuko0hJajD44`th4~
z4luvB1A1{{T$}{jkI`uE0SSf;ANON_6mnWlh19yZd#b-o2Oo&XH>Z~!?&jv;K*Po5
zA?pVg%PHhVXLp$jxosEEFDxMCAmk2X&^uJUapQL<;rY{(0%sU>a*p#OB*{pl_a-_(Ke%
z^zGn)(;pvwn1|rjIGOSH$1#l*$2LKnN!WRdIYF?-m{kxB{>JfzxxV=C>s=nUz1Gd!j>
zh{}_J;{x?u5M<+r4=cg)hGyhxOn0G8N{83k`F$71YsD^XYN$rag%}&fiKiyyY_Q7s
zv$)SF4BYx~MW)4N5${Y
zyyWCsy{l`#3KFnHb_`h5M^v4it~-t1EBEM8{EZto7Jb0-D*J@^H*z?%gJpbhXBZ4l
zMcVyQhUqCAnVE$1qLERfG~%4bufM;K1M^qa4l(b3S+^-pCkEJ-}OcHBr_3vpgAwk{p?$u-PWf
z&d$~mIK;nL`+XX*iifHCxBE62_x^d`Gax*`#}yPn>-KWk+qY-O6BI6Tfxr&TutIGn
zJ9&cRld`if>pyxlvAr>~VmMlO`>_`9`vPWP>-qpY;G!i#z6!Mz^OR;R7eXMhbrZ|&
zhbA?9`6a0J)tN*cTet3MK(0?P?@u2bd;lx;57E0%53l`t63`G1&+^k4soS@|%neoL
zJsy^-j}+Gds+2su0x%0mq05Ib=h#pKYskkJ*b9rEeC3->ijt!^i%u{C}6u8+rId|pdqkuTqSkl9H%zAd67I#G6yIb
z6M-Rd6Nneh;F~<0#l^`f1yQg7cDbae-x{4Be!F?!;`q(~1tciy*AxXvMHEhAfY`zE
zM6cZAXf|=Gwz}GIf&Ux&zLg-OdWmBm>o}Y&;M?K&^U+$>Mrq!F^Rh80aMPH%Sy*l&
zJ{24ie(7Ice-GNChl&r{!`_T9Mrj!*k0*LnR!ZXfA=V{h0@#y^i#2(8crJ>~4;J2r
zYUp*ZnX0{g!JU@Yk59=(M+&U8teJ$Yt6j2&9Y0?_cWxZd6Jr%F;?Qi8>%)3iRh0xW
z02aF!dR-qr13u%FiQ10t?jf{+3OkU(*eA<{K!fHAl}os6y&7Z6wfA8
zmKuWVww_`U6Dw_-DlaeRv!A{HIw)uYa*h_5{&%4e2??R^1zO9rEm#%N3t1;pG73h)
zfr!!%xI}bTfzXqZntGw4stP$l52Acf{Uarqpv%*}DP`MB8IGXXSpuDT66~PbM0ny*
z(qKVWmIAUHf>p+Z_6flK0A+;ard#yT=4(~$xo+~S%~nv-n}B_vl$2C65Iy^%U0$J{
zRPf5AX_u&bQlV5J27(^gzGnFwxhC?cCgYQkpZwf2RNjuU_kK@L`t>Na_ltCd|ABH{
zjc((Isua)V`Z15cs%yA_D+o!tFwKzEovU&3D+)C)Rl9rlE|Pt+j(>Qv4e**alKR_d2hh9;&AE%)i+I9ep@ggBu#37q?
z9B>UAT&6Mi^_4
ztEhl0xpZ@0`YI#k$`HPu7;WMVJW)JXLpiC|cSQ3<1Hg>ho+yDcsMM74AuN=@*en@k
z<-iStj>BEuK8#uMupivUyROyg7=y&0c}FvrH6=N@r%rQ6XX=*gy~vc4Ip+OhzJL{g
z+p@XkGkr9?o#>+V%vm=r2QjebQH|X1?lzE$bMHuyL#;Slr=RfQRlRrb?D!xH{p)J0zVJh8yYnOmJ@+Ef4R$+)gHndHGzsS7r=K+GoY{OV+Dpq
zfSRo6y#z0f79e8}m&RiAiAw;S8V^+hR10xmrzxwNoP?Az*4DYm+Mk>>U19Wu0NI^m
zfCD9~4QAecj|Tb`i>MFDL*AfX3GI4M4qgLfqD#<5uv6pl*gSZox6SkU&UnKDg=0hm
z@)|@XXJe`|iBpBZW$q~}VvZDdUdvmq`DyvN#_nz=%s
z;K0B*aB=sAGyf@-$2pcGxhdxhLb3mv#f(?Hf;yYRn_4X5+5w!
zQt9@*N7n9ZK>$Oxgv*yN=h~1|u)T$CDfQsxm8cLasnujzO%3r>R}`$vN}%y7ifM+^
zlae707PS$O&I=?G!p;|dPN)RoMh@V;wn0h6)%9p&dFqc1h7YhvSI*AHppCH8QSo&e
zPUnzfD$ilz5p-9^!N^h-YHk49;vpz#fz9A}pzxp!cRE-Sjn18kkB3~USDb^Lo%76@
zL2sNd0sLxl5Ln`%q%&!Z5EZfUbqw%2u9RnwBB*l$cwx66rVY|NcJ!
DVPuJ1a(&X41@-AdctRkdo>s&%jXu70Dgsz6RkPYOX0x#B%}
z4G1FigCGKkILm(
zd?jZ22k)K*?R3POKVT(!ju6{v;>5_{Jua=aB$1cD#(OUM8JXghSVf_#mBLAu+h?UC
zR|@Ub29;g4>y0~w)vokrsU;T5AQ#kZac-Q&#&urwjIcCx%kQ$I8jaIgeh5n0qk`~$
zDL{lnCH~MIK}iVm`*|6{Zw!M-icQJz-hP#SEr?G7`I%h$*F_UTN(lOV2O@mMf=6l6
zN`p^*6a1ZFRGiX|P)=?KywT<9B{?c(JOYTd`roZyWP)cvtLiCp2CNp(UzN_9fbPkztXrimIuAd=UoGN0p#K4p@l8jidpa}gh+ya8IdP6?e{
zB$NY7krt1VlAKV^kKBM*U2cW(ai%Zcf8T~@$UsOUTj|7lP&z6KZZ`URGsJQR4*n=oBRP=O42aBOxN#0uYq#^UpJQ@bFvxQ=VIX4UhwUc?3F#2S(c%
zmO@J+3*JRvI)|xoT_fsZ0Au-26ZG#-opLknfJj+^E3)nY%UFWH)s>ioCWy`e%Y)hZ
z_#7hn(-MP6{fPwhY3Rpuc*_2Bk@z+Qy#SN*`V>CvCkBI4>X7Cq=wtx&U;y?{>E!T+
zBjxWNfeu6czKc+=gkPzqb8sV1|V&TjSj1(D=tpXPeZXpK|WY-h6ZKq)1^
z7bhXa$_NHE|J6+BZS!Mk<5@@Mvm2tUc;Oh7eyQ0TjhrZUu0+-S!!a%Hj0&5-nzK`u6nRg`~Mj@9pt;5u2EZHnR!y*%%@)EQo{{SXFXQm4Ih^J#k9>
zZR-?hz}@%vs#}f9sZ;%a!661{pZdd{R$1$bI(LG#u^&HFy?>DzcP;kkA-_;5%s0~-
z_gTp9>(y@#7`S&xg{FmuQs92mqB(1%Utc+%adF^K-H+-i)J2DKa&jJkb-9Sa^bZYX
zU%DM&IaK_JUdF5XZYX2UJ2r*fni{>^ffTT9=;`UTbab-JgmUCBf0iM7KII9O+fT~y
zAy8Un7M%kMvU}Zl?kk`dB9Fh2j61Y4#Y?#s(g+yk_o~SvI%4=b3=TDu_oCRXn%`cq
zwz1*KQF(pkF6hXoN(y*!Q8LxwsSCyN(l4E1kuhuvAny&obh{69YH!b@e_$XtGxP4M
z+gLgJ>koFk7meGH=&8zi(fHpkKgE2$PXtRBzwD-RV?nzIT4<-uNR8?r04Qi>#5+
z(F)%qpNh&#>&_(UkqVnwmzA-cL@8JJM}o~#yvbb;@)Xe2Lk7{OU7Lf(MIhqgd9M8V
z)l^|ST505KV`cR~Q&aOZ`Cfw4k8U;JJx%F@KTVSB--JcXzJ^DP1X?~Ky?D|IErC`C
zQX}K5+pV3pgGhwAP+U^7v*bADXqbgH*o({$^aZ*8UCd^0VDC$M|^qPRTX@TmFXu?O&yzt;#^Znk{8n=?w>$>7t<&gNApK
zFE1?K6AF~fU`#G>#UuEby98zD<=vm${o#83Q6u5^IAM#fBp$^#^0!P|g1HtXVD|%@E3w#4pVe7qMEf
z5}Yj(NYAs~x+My=2Q(yf5MVi_ppkN`NcM%b4guNuk|kA>$p&x9{iQMvr15Qw-(TLC
z%T_U7O?dXgXCsZp3M{!16fzHlg72LwS0eAQOxC&<j
zCJcRB1jUa~SK-#p5{Un+^s=;{410i|&8;HP-?G%17{0RL&B?Sgm*1sD4
zt)D*aYmesf_O`2e^6h=9!&J+{?p*TV-X_MoXwp7oDWBLe+cKxKP5Pp{|DAqndUIn_
zk#ZskiV8IN+!UnqJ`y|meCd90A6Ay1keqsUlqAKgRI2%KiLt}Iu;P%Xu=>^@!Zq<>
zzV0>Fj_fE61=#GuJz4
zQwb#x!9GaJ&;@0W)MLG|z3GaP<>nnRN@5uwOP{|Jx!&$dxk(zP^o~JDkKZS8Uy?M0
zlY6VGfmk>56<9%FFaNBr6fUfr=2-edvQe5Fw!md3NFp>1te8a}<6WhU59c^*h^6yB
zUwk;4+2q@pd?R*!z_JwT%mB-_?WgOzZ2P>TK;XK4CDU(}wa
zRZPxu^Wj-7eXyeJG&k<2fE=ewVdaeu7cto&^1G`BPq`sRefiepPIMDCQdJh8{T9cW
z@)1IjRqk-~Kmn*%l#N52xd$9R>Pg7iA`WBhuNWji@G%m_5
zV&=uF`j+p~yFt_DMLbB$C{^yt4D%=hJ-tV!hfd_7^1_d8aR{F^g%bP@8|%7k
z=}OoxeTi4Ww*j~0DV_d&=ZSL)+KP{c`ocbXv!nq{Ag4Y(il*JGA3GwxQ^SThZRhvA
z31o60`}31|f9|*Mz3$0h8!x5De2QhgsOkN+cyDlTiFKIn9ule7J8lR1AM$OM9Nu7d
zF2ror(F`J^l`@pm6i+|(GXYui8c5alviqou1sPsP&K#UYuvto#8&F?(@(eb4p*g9lC5JaUXymQNtd9rIT1Sd+3AUg$_Zc5k^
zb#ZYLVVZ~bC~>hyW_Hxt`@zY*bx*DtN-rGUvi2et=Uyk<%bsWMc^39E{pwSc;UKXI
zf4N}%NviPxPo%a$OiXOsOL(ZKC!$I@bx!}t&btn6-l5&TZ^LD<(pTd((>O$Y4aO1k
zZO4fv=qUy4uq%p}Sj7GQwA)R-YLIiTE;P6>h#(LYFU1S*^RAm4V-A0P`#Iwn-kH}|
zDqUF*)`-whV-NG&NDD)AN}D=ruQMo;}rbaZ%H}1axlVwF1@CaAp{$l
zDxut`&qL?@7(tr<@y#cY=EGUqEr^gYm=Evk=i?3F4M@vr@L7MFJUuN(k?98z2zcth
zUiMFu5Q+Fj1N`upTqbhmW>xNR_l}2mj3&e?3BlMtKc|ud3zrz=fYQPE_#UP_pocIL
zJMMHKL^2;z0Db-J404!8xM5~68Df?AtO{G7;A|g)2;p_fV1V~W6r{KEWSTP1;f#k;
z8g$A2Dbc6V9YGSXTLPHVeH$X&Xn6?Lg-F4D2GLY*0~ny51AyoheL;N7KOw$e9>)TDv!#J+A@r9C5pPICfcNU)&^eqVV
zEop2y2_gX@-UHb9HO(z!R(&vB%l4$f^AH|r?ySriU}Cu8>kdq;KbfB5eHuN^`USu=
z$5&HO{-LOZe%c=6Nq}-4Navxt4HamB%Cb=L--S)X~0mQh4GWCg1=xWImo*pj3xOvB~lx}_eJdzZ6a%15_K2E3nV7zR1S
z#drtoPQ|Vgohhim`tF^Qd%AxNi?JqT&_s+ht00aHOypyDIzSwGx(~7>$x28r7|a_h
z>9J{iKHrC4Wt);g04PIp)bNt~a$PWmp`L}(6;z#Atzk0&i=w*s@n9oduJmN}7#etP
z30xY!wtABi^5Zliy-2A7%qr#~%X;jPM6iv)oR81r{D39?z8SRPd|wNNCnv%RMNoKx
z$&OP>;5L{fmmL-D@YKE+5o))=Z@Quq@M0Df%+u7f>YWc1qcJMF=r({uaIBHb(pnYdRW$h=j0|2{9@4Bf9BZXjPd1an%OwK-
z88UJ9HJ1tSRyp0jz4|D24*UqcCLKh2{#ZTjM`^y{128sx%X@PLJSyl?JLo%{>VXNS
z>-_|RzuY;n7jizXC5Biff!lx!JyOJY@UjK@J#cPdyod?9)1Nj3zy(&X<6Hc!Siui+
zUqP$j<-m0wJl%&Nd9d7AkNv*qg%@%0Z5Ebgy_QwpM;5r(OLIcs&ye9h??2VvbyqT3
zeh_1x8I0rzw$~a_Z%GKcIDoFmjY>^H*4x?fm4=injZEM$F)mn?buiQZS4phUfDDZo
zf3L>3HJ|$$Eyah%1>#sM8yw~hw}eqfyjS-r&IRp^#h
z_d1pP&7@;veY)aVs0MuM;~d)>JoUhQEWMv7ksBWJMk_y(A-KdrauuIdo~fSsU91%T
z-+2)S7GIp-e0>ATUv+Lf}*(CfiwQ#8h1Og5=HNIBhVwG35{wQ
z7-~n-4-8*wL5+BSdxr_eh&-8>9cZvzcsmgL{(7aXspSWE1EJ!4fwn`w;SaWH(jB^^
z_QMti1F>e4MFzR|cih6WXKxo|SPl3*TDG9^DHOu&*;{R|3`P_r>kaDN)=9L8i@#(L
zQUUJ-xB9v$hp-Nj;?12fN{Py3cE+PaqLA9
zN1M+ASfQLB2ibb63696kq)c!-s(Xsc3T!#x!Pj7qlBbhqes_!xj$IS@vYR|TT(E)Q
z#e3`cZaAtz(8re$$%B||X97Q^$E3REA=#V!>jkc(i%Q}X=D!1kBD`DQS4LfP;khr-
zvBu72ZkTDFSm8Xpm@8HnJD{2GO1D_r5KA|OdT*ke84V0%K7K!<BPrL;Ryqg*iB*}?vyq?BZaAOAPV+MyG8Pe^OOXX%(7Zi$OR69SFB9tn7t-fwdlxk0FZ
za5qdL{Tirc{h!DG3{f>#2i)$#?f*Oyv&6{?tVaGHtLeW#6_EY0imm6w-{e6K^zrRP
z=)I1WKc{_RJAw)taPv_rt6?fRP|ku)2`Xq0?$|4sT?0`T^aJdS^4cGJ$RTcyGp>-Q
z_ZC=UfrWIodEZv~ADb5}ws1|DTL(w)?o#Mu7E7tGKYVB^zHKR(lw3|nT+VR@BWjnY
zgbb+cr=RSIdXy+~ks(I3@CX-xd@`PH?rg?i`;x9Wb`%C*u)BL?pZc4LysvRTg#LW{v5SF
z)ETLDa{f{vO+WxLf#ab&5CcRCv3dZ2puOQDPxII3E}hs)@6m}hQ?7&EC*kNkbV+G`
z`8Ds!3h$1RJ_>7oTrWclJ-Q3M`ug}}WvkQ}L*Pb$ttj>Wy6hVabm{H1qSW{46c-9ZlFSXW`n6)w!BPaRp17>c
zqrjZpdb&|6R&&lL(lNS5Gd>+Fx4>%Y323pkD(e@inWzm$V%HsOOH!V1UhirCiEj_VdX1F@mpSEwM#emiW0Xfd?#|8MR-Wnd1##oDhvem;lidvLvHxY7C@Z>m_r>5Y
z4>>U2#k+J4*kAEM&2hx>I{=x>#{i?yd%r16z+H0XAbXN02MxSA=|#E2Rl)!I8LZ3)
zk;g&ibq{s1gU#I!?Yolm{kp>@SighNJ!|s0(>{fR<*P)xv2lXbq#tQ9N#^i@uRM!Q^
zqIYhOl5%oUQMQR0WBn866J;%0vAqNHdYMm#C^QiWnU%81xp7{_N}NaFYWZ9}d8H%q
znN7X0ZL8aHe3dIjipUm!{h0U_!TxC%_t-LKw4gXJn8=2s{JE1QU4918Io-X=%oHQR6j#=lTv<9;tzB5v6Q?)rV){S0lg-N5H$~
znaXUHBM;Lp7tIfI9|4C_d8Iw^pA77WgLTDQ=Lb^oGc1O_Z~j%yc}0$
zB&vOZ0r|>;PHfyNmuGz-S!L#2VwPvDyH#NhKS$kU)<}V;vUY`9O^;S#Ugh^P<&agA
z$GiF+BL!0}FBJnHr4CGKB&Pl>KV^UjJov=|o<;^VP!);v&wTlvWG<<|@;I05CBQQe
zZk<(_es&zUAYj6e{>-6Y-;5kj3A78AlhXXJ*NiZvfd1#7j|;{Sl(SFvYbmx7RQ;qp
z#4iWJxCw$vON~jTLVGb~_>`gqF0{pnT9<{0`~2@PC~Ir$9^Ce1a@829)@+VBbuPqN
zBy}erZd_dkvla9!NNJDu-ckeSg1OAFe|ocf3#&UiLG1r5dGGlr(^TwHPzl$6`HTr;kxUJ;W#Ke
z>sLOFYuNp6�>C9}yTz4P;>e#v8hnXQtroQ8%8G;Q#wOHg~Km`N$zQz5~LM}lwy>%UiTXhA6sA|_ZU!S4^{=w=WyjY7YWO#ykYGH}cpdfu&YMWNH
zrqiG7&br?LVxQCoe*GSB6cL#)4`yR#YC=8RUb@~N?Srezbc~S>*A)JyrTH{}yU)RO
zFs~9dfh^BS5cYcIntFpRe7&?zZD6~!a-i~Cz}?QvtH08oBK1N|pVTsdU~{Ym$g>Zl
z-2PoYG;vi-xUVcYvbZ2<=#plAZ0w?7zxMVV%lmc?$w9Xmt7r9-Y>JLkwRL0?m7B>)
zJF=CIDiixJt5>V9r|11BQ~s@%^nvO#&IPp{gvUY#T;tS3djBL~3Gb_S02~j@a7Aov^r~S1S+h{#kmNFA
zg<2}@m`1JKWLS>k(sW*_nOpo7$TEQG(H}sK7
z-#>_{StK~z?Uw8mpE`5w)%6|~GOKUYEO-9=;;6zHOzy=D6e2!sm()1TEiz2*wA_?R
zeSCD)@1oc6ONw4J9EuKj*^rJ!^;2Rt*;B1^ISqi#X>5;$EZ1khd;ETLwfxzyTjUH+
zYVVm|i&MS}Q!9YN;s2f}rK6d}>~*u@|G+JU*+0@Y4xQp;4r6h~>;W2};4$8V6;n>*
zE$Ge;K;?ef&lp>U``U0va-17eF*=LE=^H){1Boq0$h&soq45
zNpYbQC!12`}qXUPKj%iU#0yZL^CpaUL%J`-11bTaelm8LHx
zzQv$WxUJF6$s^q4aS-k=^6B4Z(!Rkw_=1Sc8B6cc1SQmz=`ygL)ivZ3n|SPaPGMDMNPh;*ry>f2ygH?p6K9_(%w`4#|&owqUG
zAMqncOZ|Fv9}OVU5(m<6od7H%UW|!M&f7
zm8B)8TcKL4n|Y!M{&~x
zExhF^>gId1?2`XVlHxW
z@`gUsdPeyufIpyj2Fn084%RzuaC@5s4L8uylG8mlBvydda<+`}Cij1lb}Ln*hPaqh
z6;I0SyQOB$`(J!v43oe4r*i8zwkOPERLc6J1&X%v29OU`d3q5ZXVotzU6sjI(($R-QAY%svW3$U3+H5
zqgji;cPrBsk;s>c>M1%bN{w1YdHVkF{f=(*ssNjj>^;z$b49h$
zWsgpFu_@EhPA6+yXsSiir~|X~XJS$@qRc5h$FPyhhjw(OJs4oUq*^Wmgn(H5+mN>`
zfB2&+0m^Z+zyFqQzrxh3lMln&Yo2GlPtz&nc~sP*rStvQ`Jhub{=kKnPgPWMyJojv
z-FkG(Zb#U5S&=(NW{6dI}dWpt229efP^EzsY3D
zYW69e4t6{n1=lmrBtQ!K0*~CUu5N3@M!(7~k$vH;@6JmZkTB5ldd?-f
zE`s2@joih0PVQf~>S4DX{+&3Wpkn9tc;>>nnf*{@5{8*+kxD>TSTe`
z1_se>W*+``jBaZ9MhhePI_T-I?ZIh0Ct|A%53lQ|=S;NDb)Y9u>}d&MKyGv^=v3eN
z1t9LdHYU8j{(kMX#80F|cZ|TIQb%of
zL44YiTH|!xZNA0UF?sqqeCyF>;;Dh;b?=mTklSiF20A^w+`WzQkTJr0AVJ#!S2sVt
zhDaWPa@)POQ
z#Z-+$>9~c_u`P}<%+nWnJdqo~l@#h8Vairk3X;qdu1%>RbMP-&J{iqRGJk9uvRt*2
zcTo56xp`u}H=l^W>h_Q8(N0Ij1GVa{s+x!^Z%!R8Mod?(Z1GO@4GeSV6>RdGE)Nbk
z#t`^zc96+dNtmKViwww`kb8_%O!8BjM-y5<#xdi*W;jagnja?Z;?0lqR;4?g-D0gS
zKFV!><6dM?mDa2kTYu#0LEAP|IQc$Fw4+j4i;tf$q&Q87O`{Z#a@`#Uz0)964Rz;H
z(M2a60xB9x@wmeQIU;o6*e?{ab<{T@rFE3Ov7Y46>nv3(?S52S&I-
zrXOSr&w9__-YYuV6Cei^p0Vu@GojhqR{%61kw~s+r3-vj9-G#Qo+~wy&wk1kq0u|P
zgFIH7X*Zi#4%MCJe)Kn;l^w%~5bL>ligYQ|z!U*Yj6XQ-$G!ma_2pe0EPm=PRg=Y)
z>l+wwD8?H5xT9mXM<)*-0%+sd??tf>_W~pp%+!Y)o9oF(hFJ-YN|vW6U)AamNc^oA
zg>w?gnYM=Z10B;e(I^wfi>gPM-G&#nk)PZYLce`60*lm}!dATt3^
zd(6gJT(^0+?LVIEvB-tnM<01|d|3MMY}=ZZ_!!Sa)RDLZ$}Q+#L}C4wzT&uM(&1Vx
zdYaGa=O;Wkdx}Ue^4ZKIE{Fvatia-}1yZ2ioz*FA9i6MK4%2YX81KAP(rOKm-`<}<
zSzbkutL;J!mp?QI(cWLAD2LxR-$*9V2ll6^d+gu|kicw!A*q2%_stMP;o`d~)D(+BN-a
zNIyF0JX+FW@>u|R5s2OFidAEd_djE36~~tw4)-t|$Uw9GZ7fTaCfKq8*Rt$F3=OV-YTK^b8Ez#>SKDa1b9E8A)>KOpqv>tASOlT4ml%h)Xx)vQ2lK5M%g--ZKWmh~sNDwApx7s3iYjFDL
ze8r0sYBtFgQDp<>h8C)cVO2DuUh2rvx09<^Iuu9j`j;~6sv>u)0dAw)3)mmIqKR+}
z#>v|1ve4}l%M%($-Gvm#**xJ;!zATmIb3R9kDn6FqqB8zc=qVeS@&dLAZd)IK0Fif
z*mx^Yx@-O1Av1Yh$VvEk`$iw=UPB8T_N*0q)O^+=lSV(*7LE$zFm>xcG)+yXZgze*
z6Ota>%E`;?t>2!=LmzGyf%T*8+L~9azGe%Z-^IOCU~V&LK_UtBiv`A;RxK{-QB&u4M4_ttt)0BD|z6%*rcJ0pElpe-ZVfg{XFCB@!$G-91-bYho+jApF&07g9Xh%i`5fKqdP^H?)GsY>g9PPBiX$ozDP2;Q6
zsOoWBY5I4u
z{*;6|1Ih+{N#6Zt!Cvn~HG|%-MfZMrb3RB0yESS*2nuARGDbl63ZuupuL?36E(}G$
zgTI5I@pB5`x^5sg3sP0+K+S&)Du41l-e{2K?Th&hOL_WZhzjYN5u_|xhG&1B=;pzU
z*c5Ggsd{_Y19@sXSU1)K`FhrtmO%H~_bpBsxxZXx11baXK)tMtRa8Qfyw(&8^edD=
zI}c1v(}3*Bc|gx%0r*O{X_$1T{N+c5*eFfa?hp12IRL`MqW(0J!OGC)DF>13*DZl{
zB&ULf%Ry1jcBuH~*7yt9GVAvUXZ;y)qm0GQz^h3rOdN@a|8p@PwVjKXnY#xLIT=DC+oVjbn0^c
zh)GGCXL=23#cE=38gH61Hq(214y|RLd+&STHNycbw=`iu++nmWb#!5z
zUs0p3rM7Tc;6v`)e}a})taaU}`IAH$+hJ7=F5g%yiQy`rAnaTfE_%qKPTD-}V%4%=
zPVTq+Xpv|q&52RPgW~PcMWOt%Z#Ey4k!{zuj>;c-e~GBf%}icFkUST3o>%9H9LMe#
zB5FM{Z_j}83D7o6=&BI317(jq{z(F1Le&o_o`a>SG(RY4jk;LO!d@(z!Qvv9858+q
zL{n(8y?<&U&!I`)VzM_QmznpQ==tbO>_7;)jj;AC?z^)hnTWP|eqOvntFEq*g$TN3
z&!hA5kN3A#v?T(lD4$qO-Mi34lBwLvJbJlGW=ikMwcn7N!)JYU
zp`PyDiG=3Ui@$F?DQ@{`ZwV8C`(OR%{yg~5f@)FcIk|9<#shK&ZdLah`I$#iFwOEg
zytelWv?z;-528b}m-JcS8k##@k^L?PHN$Lm9nKdm7%7C8Le95DKSEf<2$ba`^^Bf8
znJ>#kom)|;Bhyp+a;~K*!Q7nCd-9R3Z-q~Xo~9`eZJ1}QVwQ@w9(omNQ(xsbw6oA+
zPCt@dQem8!Sm{VJu+ST`-L}T8xYc0kE?a;D*2CrBFRfQKMc66Sy2hzug(9Y(XkT^%1uvD3|WRmCKhr&vkCXJS*e|#6yj*lY;Mk
zJtY@>2NzD^P+hgV;pK1n)n!_5dord-qyX2rb0J65X15~8X^D>%>%s(7%!)`t^gs^7oBro
z03HD@%Y2d-MsWw@g{PT>W}bfhA&&~S&IuQybfE>hM>x=T-L|0cqYsX7tkkWm0?o22s48&`j&^sao>vvW$slI8w7Csxqc)%s
z)KsWc`O{$`gwO7bIXb}c72IQPX?fpGHA7SM^z+pfS
zUjU#FK>Zs)`HcZEZ9us5Mp~!WtS~NjKY+mwPFqDlT$DcCnXO+R#gP%aL)J8LJ=mRio(36+2C_uQ{wc}9_4m*t9QX3su@uZ
z&>oAC;t?QhQ(K5qyq_5Q4~QgQqb|?H#hAy}`Z>h;B;hZKDN9V)=VLNsLuMwX5G|7h
zEiPXj=;O(??@a$OXR@=CxKv>W1r*;{e{0KJE9@0qU|0%ZeL-rlnP;LzQ$tXx&!~;w
z(EzF^An~SWZ9%Ts;b5h5RY%!tP1ouiZi}yvlFWsQMjCLzOfG=81!@vBA;_zzDx=)j
zFN_LF)lYUR2dy@}9$i4RD2{-A5Kkz;93L+R=DJr)i_U90$QY|x6i1Cd8AKvSZL1U`
zKrI#Zl9@&H>3bSp-4vFCpTuxd<@{Y_FiLBCqTZ83v6azDc|yn{$vqR4IkRG7VtmRc
zWP_nw*(Z)aUnCd`8mm<`2?B%lNnq$QepE~8oRQ_AZB04^I0=45dRd>kb3}I|
zSlp-IMWloCES1xH_O;8R&5y4k+e}3y3bO$`80^RUyQBwH
z@2+jU<_6+W*dL3EiR45|(hCzj{!nK(taz=~I(j!;l)HqbTQl-r>T;Ulp3eRo35N2sqx+D&0Kh*!i*+Wtw_%Bq>vfGW^
zCSh$2#H{E7;b(#<_Pg(LLVgoNXx9bJh5@WOd*nFnr%oec&g3yNuUPsmP*+Cm9n8rV
zoj!kM-uGzRcN0d=pzs1$X#mzae|$s>Fi7xj_0WT^Amcu`Ro^}M2V`KU7
zp#%V?gSN1fMR|p&++dvt4bL`AQUEazj0NE?R6<`L%wXsHCzBl+fg47o>lnFb4BksN
z9DZgAP8MTwD6rT`&aVy(JcQ5nM8KR|jMg?d9Ko	|;0c
zc`aslLCu$25uEJO?@qByaiFq%rN2TE4`q7|)Qx!PmYPQXM+S$1XyKiRK!E+oyPy(fh)sIuUbf>;U-tXmkQQM$f6&D)R%>;-7BDQ-T<#jAC{^5=EnK^BMh)c|L)W~v0*aGF=(QiF=
znI!_SvvFZv6g8HL*~tBaM~fbn7uyWoWpA^hx8si8Yw~py5H4%dik%*(9iJ)`86aZK
zvxlfR;)tSyShz9Z;Kp0Kni(40^i|pJ>9$DZX1`7zD99O9+4ajFPRZt$m1%;aoQGOU
zB&K11rFTwdTLLDv(R=+x9?~wL5CWeNgAeyf+PPGnfTlgsq`b&mgSb#%FdUV1?(K
zQ~NzWYtEWx4fi!7Uic)}KweQpu7J;K5FCGguU5-!q@G$(1~=+?~p_j
zVkdHv)TSIY3;|}=KZ(6R0|6hc%S#gqW%rQJ2mZ}X%1=s-pUw`06?K?E)kk;gW<7~B
zWmbVUoaq21o0939ulW-3NMc)e9qy8%vwN!?=1VKKR#+hs8DHUBD4E*Tepya
zx{pfk=2ItTx|VeaI?)2aS)S#Ig3^zr@f@W1nNj8Z-!$(;#s}?OQpTfvY4s84EmND}
zlLrvwb8pU&jrS`^f_Hqmnm<$iZx68fy%^g2$HX8PGaTfAc_66E{t>C)3%C25|NPru
z2c0h(>!iL(;m4@BswDQ2IJ88pHujy|0~~oBjrba1`|3+
zU(-DFF17{L5N!Vmg_tn^adCO_a^i?XWjim^cN9YBH{thIVQSYS8O@rCNE){oiG_?&
z6{JL3s|W3xCwkGs+b7^~;BYFlzQatTGFONxKx4TQl|Pe!OET{<^|i_Euwt3jyV8Kc
zsvym`WNo67ml@dbUhkp!bM;#ko&@lM>=
zJnT0IpL-bc9pd)vFYYlaDC;-Za{7kfDWvNCvOuWAr?nzPHD7k=NH|*RQrrgM&%NjTzkqM5w);U$Wt+>rOmx-JmJr1aO8mcUFo<&
z*(vl!%pz`4DNJupZ?@vLkx+ldr1)!BYs@b|6MoYLqR+Z+^{Mr!cSs#%whR)Lo8R^UlibxP?cK?;<~_0P>G-(dJ8ciIv9V*4`EQe~YWCLDc>W#-@Y8TfCa4W1kH&1q{M24CHjhJRZ1M
zBt3)31PbwvJxLYY^=p9}Qa$C22fh`(4+pK%>N@hRc0S}3zVmhcU=b%Bux${r7-B(o
z^@agP@5*j!=P37mHx~WGSt=0R&OCRW{a(<}pP`jiP^g?(kdSQgG3NZLd`J#=*2I=f
z&4Q?=M9@b1q+84z``zLaQH+P}Mqyh;l82{2FA5RA-Mk78n+Q#eRNJe`uC_
zzty|BfuWBByn8FCkG*sd)(A^AzBf&+le%<)d
zVSKcwg9Cin@oDx!^r1G^W3YAu5QK*CZLdzB_i`h`0cu+P7k(FP&{NrL10QU-+{OumTbOb_8aiKofjg0KMpf(1EM28-SsxADk4kpU4N~;3%x{
zD*&Hm;D~GkbcMu=i-&kbC#dhD<;_IfpZDGpZ)6$r@$pG6q(=fl4P3#_t*FojRG|R+
zpfnUH1f;>&1opmJ$n;|OfI0xXh%r7wMYN?ed;Pfy3opT);AHAm74Q}=ca
zxK(Q7-^E?d>N`O4n}k(%qz=^0K@PtFD41RqvGKn3ZNI8VP**t+o$5NKAtnF|2wav$A^0$Mea3nyq0jDp;+bPysPQLEVv
z1Hz-_$`y>Vk?S~;SX$=kkRZ$hM8LYsXhUC7b=2Nso~OTTe*o}7aLf=G*(8NX1duk>
z=f5R8)&b-Rm|#D4tHnMbM@>Ku=tZQ%d1pFGI4&3#tts|!#2RYcZB}eCmRqE
zKuIzE!aU#%-DO3%w!$4PG%B4brIi13?Bntw%4VPRAj&xd*-&?#(buBpFV?K6Yvq6hEMe)
z0IiB#$cTjn0mozN*Vb9sMjv_SeBTB-{aYN?Y<>|kSJp#Q`7yuqXLzyUo3_gIp&AX7
zYmVWy?GC#gG?L`>bG<
zr3j|19&xxdWg;IL9H{~dA)MV}hrLs1!4`;^&iTr8YyG%PBh~k?YxA)2OSCP5z48J}
zqkv*sm3N<(PUaTJsF3DFM=;Z#k0v5U6{9LOtV`=x++ikE-{41q4^aPt)~y;_X5lBn
z>{j5*B}5(Nm6b}16hZlEzU(kxC5`so?bvOqAmgu=10{=!B;P}KB#>iPRt^}VlR*IH
zen932M+>dHlmx6f2L`#s-Kl{tzFceVJVn%X4Qir{@iN{Xibw#r_EKgxM7(zXBu$Qv
zj5N|hurm9KlPi(a+pS*0Po6}y
zsX9hDxy<79d4ett4_nMFn9VtDO;}9a0OAu4(;C1J+N_M#++BW!K1uK8B!+f8o8D2E
z3zTttsC)!uC?|c$;@5XH)$v5&h=
zg&@d8Gcfb>U9c`=-1i6vOG7t+qIZisa>NDb9|2>VzO}WLzbs;P^*}%b|MkhhL;*Ob-aj~)S5oo-l$NaR>>g@sYgf^cRFdd>a0N_>AM>$_Ajs(y
zjhKL6F47eTYXR67fZFD(+dd%ft|&_GPDj=bu&v!v#7}`gD*~ugm;rQ(
zkp`g-t^{zLJAGU-0z%P3SdkCD4l)1?wh1^%4EWT}gR1@Vswxan#RfbqGAao3UNYSS
z3YW|d{#s=gum`l*iif6ER*J&gMBxpY9UW^z$`f+JIrFoslT#U}+5YR}Iw+Jr7z=4&
z6X~g!4^PQz%#oz{`O}IeEyFc{=W=pDla{?wJw?GJ%*1}fc
zU?I$%%kT2b-om1{?3^4$wHvFizz35iE0WX=3_iemd}IOmbcb9yt>IZe3g#QxL}WCU
zYtwB&{5}?RAPoxSAlrgJk^_ekZu*dR2S#!_A^D?KmZMY?!ECr>Wl&uPs>S4t;_86&
zErO-ayX$i{U|&GIL8!s}Cx;?ft{9JZ58QiP8$~Hv;mstRrPYC&gpiulpZbkFb;w=t
zEu%CPN)qNr|5tPG85L#LvX1vK6J-l2BYRaaeAMx&r{GMg155zU4ZuE4$P1@{UNRQmjiVK)M{4TK-&60p>-PTaV2IpccxZ!(Ct
z03wlnzi_?BupIeFNz4V`aCgz5%khFxiua&h6r4&o|J0S(xb3|7cb2n;(d|
z2)+*!wC#)v}!
zFUq=6fvOlv;0iASH7Y|d#`~^-W+SFMB4BPTZf^8FR*sXYnd&OYwDpbYuXt!B}%VH`g2r6T)~ypW0G1z!c5hHED87$RhIgiN}#HR)i!lLK0%}6WcO7cuU(IHw#;_kN*Ppj0$9w9k8cs&`O;wbef6%Xu#=g$znQs&
zKH|L9V;4bVSVMFT*48NhKB_!KdFEM-;g@Mw7B;W+_&SU2I!U8o9hE+dHBp8LT>CSK
zzky#RIq2A6Khe9t`^v?nZaceN&cZ)1Bz)!tdRPRYwWelgH!k_5PzQqv&k0rKWC3bh
z(S{-t&jPL(fb-gLP8x%A&-1(iLLkx)x?1FBZFJ+(A)T~ZE4H2%U1Pc8mcDJuoe9sd
zA2qN-i~=Q`H^#&LFjd1t8pby?>q{?`^R%dLmfUU1ao+Ykz7-@Q)
z;^x|#xec>+qVVishlyd13e0cu2+L3EvL8F@?8*+c~2L8HE
z_2*utNj_P;5Cf$HpomItibLJzT?3rx+)&l1{F97yEVSIdJ815rGAZOgA2a%J1%jP=
zD8;p^`!%}&^<(ozbv)L`c?idOPE<3}%`-7~zRR^l)v->%3aEZ<IiqJS*swLV`b(+^=)yLV40>wV|x@23z_O>&zmS+oI3M^Zd!J*qa<
zMadPnEspXN@-wyLl$p9(grOMZL8y?y8^|GAL-NyboIXU2tedaK!aTG()Tn>6rM=V$
zR32aqAormj_CRKIeMv`*!A-|M&fm#AzxPca8i9-b-jTVKtBD1>nNKLaIDZzRpl|v1
z5z0@Q8`Elmj?bft)Zye9E?H?gAr}=WV;TF8U5&TRENROt>d`uH5?p_xLFb`zN@at-
zlHTJ+WgP2r_^zb0*_vB#$2t~#HG?WEe1k^R*?jmWYtAhXMh*-D8m@7Bl&L_hZSWJ`
zUdevbJ^=+m0L$YQV@IQJy=i|_`*1fW%EfZ0xV8jFAhQA-SUtxNzaIcycig6DD3ngl
z<-QaDko4&nMHk7<3+i{@MEfTl)TcA{0^^{iPLX>};6v5^pSM^B&s%c;vNsB)*svP7
zQ!Sa_`RqCyMX;*P(QoZ_Zs2uX&9e!C%LCECZ5DoYK0bRGDcO-X*Qe6r;?AI8078@>
zUR@bQV*)*1<8M)!SsG#0P&8b8*ApG}kB6nmXLm9L0-3R30$5}VEX?!t&tU)SY$twr
zdGXKY*(n#Y<$a+Lr7)`FGJ#P~l)BLRTVv*Lz&}DUFDfZPsq+$LIu7q&*(+@YBpdBKqf?a_k)EMm$)
z^CQ=tT)eJdw-NFPyfg5<2^9=d!SQ~BiYJdHWI82hPABgfRe4P3nVCR)I{fq-yY@y;
zK+wQ}ZxM{G+TU$nT=!)7*tNbIo(_tYowgULrU+C5_kzry4X3In-B$6WXB9uMV>N8xHoUu1jHI|78yhO;M)%fs^M@XXF#nU)XD4mRtqah`=2-oK7NIC9dL-BRwvv5tEey!C$51JTy+bZiC#nFk|PSn~fV2y0jwDJn$uV^bu5M0vQ!QRP&
zTSLfioZGTkx-u83cVk0;F=lN*Dud~DQzDUJ+5U-kp_XFDzN?!yuN1Jm?M-vRQHgR3
z{`Pf-mOo8$i)fhb#M`F##TA|2bUjrkT9toBnIO~3pghEATW`o4>FL}N{YRJ7u+Tnc
z(T~Z(x>fg{?5vECKj7dmdWOc4tGO|XHzr7_AxpSwenAq%cE3HXke@QEl+NXyo<@!GC6KOOgdE
z49^f8J^IfNbtv}qL#4PA6=aF^4p(No(S_Z&Uw}NA-n|w^C|lpU^e`rVe*PQ%k7XZN
z<)7`_PBb}Lhd}{JH_!rNMP=M+l;|m3Kx`+yas|-OGJD7i3XtA%6Tvaqy%#I@8nwb;
zfiTPgD;m$msLByZlw38XF3Fl$>
z>B=lhm1(h}#}5r?PWk8Yx3V@Em8weM{WxpnE#Z@*TZXSlH^}f}Of{by#nUMU>ClHF
zN>wZ)po(}7LCfHe{gchxiPu2^c^sjYL>)AZ&ZNNL?Or{P*Z%o*d`xPG2qu6jD-Agb
zMNwMb*qUXtZCZUJIevf5d#Hr>IUK5(D%lZWIh4wg
zJA7`XY8z4nhzks#Wr%)v_Mx_+3%ybD`IdBHpZK`1B}I2`83)%23np+U
z;0B#;8U8>Clw7i)SY8GiQka0I4k^H@B`5o<0wh(&6B3Dy{8X@OeyE#Z0?*8>!b}H}
zkD!@uZIUxf--KVO0YOmdQ={vY1v5jfRAZqKl}lA<;N4BZZL4^cPv&@SxX~9
z3qB@DA|y+vND%Elyf=s7W(88(DUER|Y5Dn=t)d8_5J)8k?yA`5$LzJaz6h~-0(huE
zHmhze+WBca*OdT#ZS>G-D7=%&ZKoI-5
zR})CaP{z^H+w1wW=8Di|w
z(iOhXqG^DL2uefeP;EWnBQGIfgrFK#5gah~(e8Hw6zXjgs`qbkM{y_uF`#Ovki3wW
z$<*T@1-sM+Pcb^kkn>rs;`*u#$B2r^}ZjDzoY~`OwA@m>!(E0
z(!QEty_*GH=@}OTHVx`T2YQ)rUN)%IiZiX^E{qXBs$-R}5p>|BwX|vD+_~MXK2fw4
zmITl8k-Mf#H$*+Fe>|9-uF#G%eY89O=ij!ua!^8QgXHvkXW5cm{#uuMwNsM5);_d&
zTx|8pm&_x87L@@q%c>+GCcVtAMNsZKC_K06UObr);ZT$kJF(X8zy31XZ^atLZx9wx
z7Zkwin@FH!)ZeSe&d)Mew0BuB=PRJiK|H9;{I%9kX7jm`Mp8VAxvA~rAcFGnWqD&35)me{X&<>cuX6h{{gKJU^3-7gG4AaFe;4mpG%m
z2X&yp`YfrajiNd}E^Z)hg8FMxBut+*xW)*~`B@ir&55lBbd)Y{U06)$&P(|sX5$(6
z-WOuDyGK+bB<-uO{sf$aBwO*uM|sm{Sgx-Tu#Z@@N4qd;xCigF>O_ekS*`Do!p1_9
z{Dmof5jT(23y6RE_-g#e*TBu>&n$}ZT`*8>ItrMlQNgEyDBX70?_CmfqpkYJtvilJ
zK5v)o{xNln?#rQ&EK#KC^d7Q*N)|3cC5#Rrn-5qCDIO36OCcOC9h2wqIfUv|F04$o
zv=EG79C=}=fKUyY-cPEsI)_b$6SfBqjJ&eVc)^1>Y9$Ve05Af_lTY=Pn3bjxp%ii>
zP%OoA+>yMT$YTwNm|?r8#EJ^M*C&)KR7y!$VMd2prR?K{->cvMp8&y@WTQo22x|dw
z6St@i{*WL3D*MOFsXc8lz%_T8tnyOlDL4N_vFjQO+=-205yd>?1JV_=CNpcahCZfd
z4<^1@N$1RY6uZ29#C(u9S>#r8v~*c|M*Hrc!eZ0$t53&Ri>yhV${bR|AB&gXL_Fwn
zzI&kOop6ksmY0~_OS2hihVikRQi2B_vD!7gTUYSi23qejac(R__-G
zy`L%HfGab^UPot`CP_>^`}dDKC~*exBg%dNpzlO|_Y_i4K~?zkQ1_9Nkx>^ivBbnp
zG&u%)1kq{D2E|jOil$dmQuzAB8F;hHUPqszTv;q5dWM5+6^v|MzZBsYIQ2#;1#b9cp}?p(Ytk?O
z9w-v9#i9IQR&eO5&2C`k77^ub(bNacLC%P?b
zW3P8-2}{jtHQW0Y@q2{N(!6SIy*d4rQ7TRC_xgB1H8q<;NUpl5b$*QVM~T9n_vuUh
zs2)UdRDRNYQN{Kph_gJA6FV^O^7{sFzN4hT0dRCn0#-u$SHJBzhyGYGDp&oXwnjJ_
ztMuhSEGG-Ueg8dF({bzX_IA0Od$97WDf}k)z%Ptt$5)N*VoKe1E-CyMnqkLKwGPo&
zx?x*vjTcI{mtUxG7e;?E^#Fr=+pacx3<>S)^m<}oap^8SUAXV90RNj0;&?;C
zTZex7Nm#E?oZz!!T`KO}AP&hHG!NHi8uMOi&A7zWoBb*I`mf}EmdvBzaEY+1xCr56
zLAyaV5~(TP0#}l_e#b~E7TczToP5HT$9Qy?G(|EyKzv%Ae{Yk4cKrN`!ogHJ;w;3D
zq8YSh+i~fIrFN;S6L*TH+=5$EE`uz7B
zSK#{(xGtCgZPM+jdf4wc>4oS5lB+O#*R{g2FKD~}>s{G}D0^biTMk82N-jwqQyw}@
zvl@SFcv3udJZ$)D{-dTVrIqQ|Yrjue=_r%TJwvT$w7a{&Ipy~#7A~1eh>I&xpK%O)4s~E
z%P=jibo*2XX+D2FCBk%qj;)1>O`$qOl7cvHho56S#QR%8i?J-*je$!UD}-eG)KnRL9buKQ
z2~JH*BS4Y&7*t878u=|-w0|=aI$D)^Qy;R*HRHT`?{12xLhegd2P&C&aVq?BeljDr
zR=7XTg`$Gkm3iv@Q8}gqQZ_3eu9hyk&8`ppaNR4qK*)F%uY4GKQvu4aKJRk6mFB*BpZo(y`XJN9E^&UVm41mHOTNfrbsn3`
zFB@r_ljQtWd5!pi#L8s$P%G&S
z)8GGTSrPbXx0}y<6Po
z6T+J*>j63P&``4futto6A;cDAD+hlAJqlI}t-R-k0_Za?y
z)Dlu#fNU_NV$*>;0R^NZKp!qfgzA54_h{#e9{Fr$!gQ3rJ4;jyj_`(g`P(Jzr#qFX`x(p~9{$GrIlJy-s
z8$2RlsOM;Q3*KV;C+O%1d?)5ceYgBh!4X2;CPmO+uv-(%%m}=
zPT6(annF3lw~l|!9+RnIEHv?xT0i3MDq%b*b-GuUUZK~&+w8J_!}PLZri@4U`_a{p
zoiVxR-wgOaO{J5zG;Y@9S|lrRSYA{X-3zdX$v1w{uEc$TtZn+1iE?*yG80U`2`{=U
z1@@b%^Sb&I1A5I!q%JA8kS81=-U6Vq{i#WU_?SMPX7@oMRR|1q+eB%1u|IEN+0P`l
zaukjN2nseLE&`Hjg3U9YANuwsY!?RH{$=8^n3K;R%7YdBGsz2$DxAkuy&&O}lQ9)U
z_Yl!k?i2*k`J?_apaM2_pmgb6W89-|^FG06eu5_@@(2hl%t9#Q9qjAmU!-6N*WH#4k5#6OI=lMHu3``jC=rt1^GUnT{Q7;bz
z_rW%!P?_WgT&Ve?bqL*%8V`?kU8Ia>d(3$rH>hT}U7i_2t%34@QP6i^5p)=ZaPHLy
zgfWOp>u{O$eY#J0f{+brN{W+EPJzntP}W?v38d8sbuz<9a}7zRz}fZcSpgup+1=Q33NbTI&L0|n)wB@SJ{nSnPyq>5_tF98SdJP+wNhvCNe>gw+P-*?Wc`46%eMstbc+93v
zh4uGM8z(Q1s$b&Mdn?*!c1~S?Rjid$o}8hy6jNJ$jzN=(^H1hh3-QX{pyo0*GRCV|
z+cUXxmi`;3q|ZiAxAoGT__TxK=8!DIhXH9DhskaOH#fJNAR1}WDUA7F=#%Q;@=Lx%
z+qaR1>_3-I!iw|04-OCJ*9rvoKBvZEX?=))Vh>AeHbR>J<44_g1n&Pm+q5tb>6QZu
z$higzO!_ITrRyhOFykop&|Fk?iK@)+b6<*|DR^rrg2FQd(>em!
z;cb*A$0}c#^}{vM^-BeO4jKT%G2%;|b<|+sva9Po+rq3q0s^=JgT=59Ef5HBVClnO>P~$6`^jIhQk=B{OySmT-Eyj|m;}JZBlCYE--Z$o
ze%eu3v<-ahg~AM{BN*JPE5IsEg?#L2z5hloP-zpj_~HSi98b@!YXXS`rbp(AZ><4V
z1g6S-MBkb+RIlp6T?j@b9j+$>bT%4ZpV?{Cj_N;wba09!4sE3V8%YfIS93j(gYM+t
zZ~8%R0^_#D$1SbX@KHAva*CWTM=-VBSDTQ40n&s6`JeRF$>NK5X?IUv;sqTys2pqR
zaxCqcSOJ&lCS1y1Q2Qu>J|{{xuWJH)q^r4>0Z88FCUjnVC2H{)WE6@*9>IyK93aI%
zJm_^EwGI2sB@nLeF1T|OZAo?mpP)|fgCW?!DgEF%>ju=ZRFG{1%n~k&
zYx#Dl4k;Ew^s%22j%}nP7rZ!*8Gt%xuivUYx~YMamA^3>v!VK0>pZ95(rZN4Lb?x)
zZ_cf>Bq<~S74AFE9SW~uIm27&+|t&T2*|E7TuUwkhvJ~?
z(et3H+gEyJLn@~8?8MklyuaZ;DSD&AuQEQd+rm#`#yYNum3}oi>C!{j&_@o}EiW6q
zm-Pr&TF@@(3ETDj#8?Xpd4wkJY!JtU@+FxU$(@oK_gqSqqxlyXZEAllFAiu%Ku?Py
zS9X=#O0iu>nh7Z^beA_IvqjWz#EjGF8!dx=)D^V009gRS14!=a*UwSEIK+4WvRJYE
zL=#f(>siz#aWU|X?H(n9bsP*a`hGbAVrrN>89$J;Zfit16%I3RZP09FRH
z$RZ$(Wg@LeAY-s}EkdU#0}`r&2JTr$z{97ac%|kv;1DL6N?ft9BLNu)w{~pI21#Q<
z(HvmG0C?*ll3PRsEJFO}&&r6m2hchYtN=rUTsYnR(>;C>S3ntQ8|7sqtq&x{Cjhb|
zZ6}@-fCszmfo1q`7YB(4Nhh)^a5*uO4?|V+aQLM
z4mtNYVBi2xlWCFoeaF_F1Oe9uiH@+vA@sU03(TwrxQ--lHgF*t+rNlfV94PSU=ZNu
z2{O~O`e*1~`13DQk-UP4K%2Q2N@aCBA77ryC4Mr^&Um57t^9Pv9aQFUncA_m%rQ{z
z1v-&y=4vUJbe!z$Vb~7O4kL3DEP#|a6l`0pH`IY7ts)eW=D7^1eGL;i1L7*@P6`Ku
z2L?Gzm{TpU!bGD4<6+=Uy@vnHMLXv`5--&Ip1O1?WZa&grLw8H3>``V11wmbH_xnc
z7h;bfpUJBJGO!{uT|maMeGc%hQGh;M?F)Jm;nviID+gw?Dbs)57M){gt2X+I?*Gc2
zvcD+K+6uk>Qc-3f@uYt|7F3&gug!`_Oh%B#n|VoRr{31a|7keYDy&)meY0bh6QOj-
z2Ag~4zjg+0e#7>MY9z#jMtYM7LKf?_f?ifDP)3>x)r?pAfRa$ugIMhTs|EheKxHhZ
z#s)qIG^2A4WO#zT6|5<$H;tJ94EPoDUO=LE97MA8bc4#(qE5;~FEuYv4ixQOKotW>
z;VRO3_|6Z!g5wq-5FCcHd|&2(cB1wo$n
z4-3}ULE}X_CsBrn0buaKT=T9xH+M~Pq<~@Z-^cEi3;%|03A|V0hg;cTbz<7rj~5R9f$paPdle`#0G8@V
zb!3~KN$@lEel6qj7aFhk;{FC)m0Awrl#zCup)PKkYWbZzJ2z;)A3vhFGi*S5<(HLW
z8q$6Cf-2r(Y9-Km%ZRTd5JjUX)Jb(9c8gXErR5;{lht>(`QM07sTmoP7F4&EF=awz@p|uO
zO>#zRX&->NvCdDm4M|UI>3L-7cmDKiBE9vdPpkHEN9=zA`mJ)tND}Ah3+*FAob3D;%fUC;hJbT1n^S3p7PAI>?+*Ln&6*3w0gyb
z`dp{O#k?2C1t7p=qKvJ6aV)EfX(V`@Q14+tyNg75LfZ{Pa>s}(jnbZhpudzM<_j_i
zNZIc~s8A!2m4G;mN*xHrQ?aM+ircjCA#qzIenFmp>u3$UHrT|nE`xufwCj-zq322D
zrBBEAceOY`Y!8wK36Q3|1ip!DoV%0j1jTV
zUu1`K&bpy6FRjuJS1kBKBZU^A5-9enHy5%23=zN(m?jvEGKS1wdi;=feE`Oa_Ms|4T%6lq_*deyDl
zxpEXZ`|Z|AQQ#KNCL;6(SykKijMkmUKg0rg`Wi9^kV2DyrkcJ##bO#evdx~@TPj0B
z3hE$Q7^J$jNGpPdHeOfB>JQr&u1_Uv-H+5hW|&CiyXF);Aq$BMmhD8@p?%-Xi+gwS
z-qy%3r6_aPB$b4xxkORZFF!eZ7{s%l^T35Y3VtT};8=vJasTrw`%iB2fu65F4XIEu
zetF`^R`Ja5?J4E8Ov`Z!+nKU%3s(Bwr7f(MeKDyuhKWUa<;lYO2X4F5S9k=qSA9Jf
zyL(D1wJOEgdG83Z-?fo*|Lwr=V}Ek6DWv|zz^@K{UE6OTVO#YLKOIh{jIb;4t}@?2
zwDYHOaAiL_&hnO`l)uKHjA$C~Av$BYr`YP`Cwd9t1(Ek6)WUsbe+KTtu*tE)U0O0^
z+f|?=F}SY9hNUde*<-Oz+mxnD=IYc$j8{gZ{yg2K{mW_CG{K|yad;aI$U6lIVxl{4
zs@E*@zk3lpZ=$Q9JG8?IE0e?jN?Xjxowa-99i!~8A}a%!HtC=fyj}C7v?frMBi1%7
z#moJG#eg0Q0SzJY%ii#u^><+oglIc?8)%HCaHrhl^9kPdDW8mSgNN7bg_wd)d=_t@
zz?2}dMBV+0^0KN9N73H;VWaQi^xM}B8m8AdC6*YhWEbkpkGEQeS?IInD>~$8SK4iM
z`prej)SSKclC{;MXnVnnKyKwvB>PpDP-hz&w$`D0hn0s0-%E=&o8KPHx>5Y0;YIO!
z-hg6=L`(K1h4QD?K)yp3n|Hr#Z=HlS++I-@Oqk$0)EB0CSgcy`W@v5dFwsS^Y3y
zb<(~&Qz)H9tiG}8Ap^co*=013dc%+L$O%Ot*fjvN7j>cpfieY*p;d6?Fgxf2Zfu6~
zLDPZ|kP$Vu6TjQyp#9Pg+IS4h{~=^DowwmdlXa-nUPR!4xb!r$cn=?~$c-1z`}?0f
zhrCt%m2Rg4b7Kz+Ya-ijUe>R5is0ZKV$ZFPEU9ogKvx+sR&BQ1yzJK}w>Mu4YtGty
zm1M~f6&x10+s+R}mP^t)*L9l+%nrGnK9|H`{3e3RSa~~6xLJeV=kPr|F`gbL#sC_!
zHQ@0~{K``N&lBK;wSDLb-l8YKJt{v0eq=FG?D4_X8p|AYe4*>s-_N-93V3=f3t)_Y
zULnm#jb%Zg{m=Jk99i05#%VC$QTWXKi@nx*4jrz5W`!x(y4`4gzkE4&{n7k)vjd{i
z;(JAXj5MCPgvr;w?{{@RK^e5lj{VIAm^3m>yjWV!n?Tg&zjVa0)_~X3ycFnZ8oAms
zGQ7vV@(c`bo75eyy7f@|k|v*NzDDT-EZaTvnpU=#@V1_q6+R5}hCU_aP}!W%sD;({
z1Ccvmu7FFnbTw7?(+dgoBecY9u*3x`g&_+cMpNkFFnW$}msr;VhrFNum5DQuTDfbaL`
zse87sqF4yVtE!ys?~Zed^R@S%b07UF$q=(MC~k)X*;hTL{dvE#hQiTA??cCD#_p9%
zR%|ZXDie;Rb-_70oCieF#v7M~nX3$WzYmyQ<~?3Cbm)}b5?^M-cR~CamfuU=-w50q
z5=8WvBphQ$wD=eh6)3R|$PkfRW0HvQgU$c?0dR_7RseJOdsfgN5+Owddk8%dWYsS4
z2BF`U0qO@k9pF&M1X(?lPA$8LlF#@?0B$3OE$#K)w>5Pawx$kJ-Y^O}&mN3x-+rQG
z^Ns12d-SUby!AQrhSw_!bUIG3X6_yqc1^BG&j>r!^&^p!`hc;k?$Ac?EAj!2m|Sie
zncUHgFM|cKqm2ieE3Ic_p81-l7#Lowm*5*(h-i!@2Xb2y?%TTTcm8N?1;6Wipp(n)$p4S2#vIm^Z`pD
z1XSR%X-|!%Ic~FWLQ;w|rz(ciyNg+x`yTJDs1Vnva+&GD+UVIua>aGoK
z+uCS-Ghx3EB;HbA`6X$O_gC5@XltvZaFsx-H@LJNzL5{_#0lvJY1q
z**Xwt2Y755*+7^L6E-j;c;=JHptH`1_6!5;89CfYNi}C!#*?TfxRw3auVZ6i
zk02X*l)wnPvMC!Z1^LtI1`LZppVCCdg<)7Jek{?O{E$W~fn`ym_24~}$%e%b(3^zx
zm$enC@s%E<+@d;;o0lDunxk{oFA&ne
zetL(TdR?JRAUySMvx{)tRb{}-%9MHPT|2ze|X=;k@H9DS`Ihxx0}Tr^{KC357Mk&J7dKZEjs)+{Evo;6sHQ
zvA@>}Pd=G|BIee8Czw*FD;my&tT-77j^PV-*iB$X;8FW<;1?MTtZYBNv=G%1MRvRIJyg->
zo*6^VeaG;dqPgzO+Sy!}Q&BI0>e4SMm+vQP72c4wDVfgj7B8!T
zOJl-C0CNbrbTW=eBkPD|okL5gWA%`~)f(6{T9J!&oz{AjVF#|Nb(8*ZS(OSsHTl8$
zP3J6~wua%E+8;}ligg(7Tfwyl7v)y8
zu19$qwuUjd90zowjwo-!#_4K+mUkUQn7roz&C}8;@jIP8sKoEg3yuS_8HIC!e*iKc
z%z8=;E5J=GFo^22F{qo!!fz9F`LN>;@t<#DhO}(fxTv($a3hSYDiFKN*ruXN#H_;2
zjBbjg)(i%Xzl=Hi%L=C#VkT7JMY^I_ms#R}1Bcyp%bMYKz6^RA0>bCNK5m@n&?CFP
zTG^V6&SZefQ8R%$xhZ*ugYwc-
z?s)w*NJ#LgA{9+YmWhUTm3S8b4-;Ak$gTr)QsXVhw+p!p@WppbpE7nX_DB!(>3Vmg
zf(A*MA?^H}2hsr0mO_XP$Z(EByJKh0IYIr57LcsVvuPE$f0|RG0IHmjay^s)Do)C53;*fKmP~iuLSBq}jS0GRV0=~I-`!+8_
z?ArT3u)KHgkURuZK14d3PSWXs^g_A;Z=e92U8LY(TSYp;Qpy;E8l6G55D?}ffMVwX
zZM@oeQxDP*s16PA|DLx#fJ0>z{$vHP7qu)vO~~Fsi6}(cd}dz&P6t)`InYA82^>`i
zdGq&t>nHKVA-Z_V97b;h4oI_{iEgn!>1?t?()kF6q|Lnb+364pfd~N-R(0%1MF5G%
zP4`z6hjc;V*FoPoZPg}!kPfr~BB@~ka1~Hh7OILW?y-V$TT}>5UM!gc-7CbJ*nM*D
zIg$be>@-gQ8W|M*QNk1zi7Cv6*C!VheG7QV@Y2crARN!9*!Jm|>$f#m=9T=lXFR;&
zx%5Yx;VH%!pzQ55X%2P_`Px$R%YO=*$tK6&f2S+~>M0A=J`a>;Mdz%XjJ`ij{Q-y
z>pRW*u5PH`1pz)(Z@S(yOH${}J(%pyj_Q{)3K;nAlc-T!4rn^i03DY=#X!P)!47g2
zZi2b~n|`2*d4UAwd2di+36Q`B*dcm=Q}4SduZ`+-M;habdmMp=jfB(TpExv!!*x-J
zS|SWWH(DT>j603uq#}~H4%`sHmgIbS(%>@T2
z2!$@5HcdRGoiN#e^RDewpcnld(+~6F484_=9;nO3y8rJ`Iy1d{$i?+2pd_F!jGzrV
zRdkFsz@|EwA2kwzt_8Ztc{Z8*k+))oVpin$RFh3|U3==lH
z9E#u8cLDz@gpf3Txyb0tDBUc>)9O4kUa+jY(6wZ
z99;QLbq}1#3tdl~l7sz5g{&scn=Lh9C~T0!p%J
z&~ITB@?3<3Ueow!?&j}&?TwUDr{m`A2ji^Hx3u?--ey#+MSg(JI_OLm5AEv?c0H@9
zrog?z5=9l81Rqvqo?~km3%W#$MeCp|{lRZ-fD@ewlpFQ#Ap@wb+5`_Il<$wzAT|2)Rw_MTz11i
z&jo1=k3*ZH`m2eMvw^+l@j1`^@QXiDojTGyFc>d{+fFR-pgPvMw|@h2V!(45LAM5^|DhF763~zgp@95qOmhKJ
z;X;|5dimL>ev8F@sAwJX&P`QEW73i47ORNq+3c^ipap^&XcYB7V1t5Ze=E@+$r%|L
z<0Yst9@+UBhouZQmB1Cchc5S3wyE+Zfww$L*oVcMcCcd>bml8`wmChM2|kqUp?k3g
zV;R+jTN$X5yImto&DYnr{YNh}z|lo4xcU9Eb{)Gp!h%oV<^ISMTL5+TGJ$cB#Xaf0
zaI1$MV}cLX1XqOg4z3tTBa<95pO^7=ecDYIMUE-jHT@W|ZyXkiScorjBB|-W@Rl_9
z|9t5o8eVG~6&Fp%LH_k~kEN8HMd8Oor;h-`I_bGqqLtFXym*Qo9n0@pPy_tVK*@DW
zz_&UihP8H9EzkR;9xbqG>rnCu>#Ki>J^KNHXF8>P7cjG-%yOSk!GGFJxg;AK|
z?iIN%0%r1rd?!@he^@s^Q>)T))V7&%U-xtm1?B`;hgHK`*AICefAvA%zH=)41FcI)mAiLBNvXg&5#4J$
z!+Edq>qa(p)qAsTz1vgcdhEf**Ky9n%bLwjv&PM$>pRM+yW84t$^`8tIBayayT4FG
z!7<=G$s-(kJoj+`NZEfyJu7G<#^U@2Pp8JJF|AiuH=fy}8SQ@zrj=
z*}9u_;ih5reaq^1&srd01I5DffR2=D=C3Cc*pqC(=|g@CQhf3bjVg9aFK$-Y(u3LT
zh5(2K__}$$bGotvVlpDKa
zg(C_AI7Bz~_d8)kH4@!z6bvHhwjKgvC7G;D3N2yuM~eUXBLFC{vikr0(MJRW;=kA7
z;Kl0org8jjJ%L^k3sT+LT1Z8*l4TqE)~@g#86D)c^G%C<;s#|K~}L
z!sEwYU)oE9VHoT~ZU|GqQ!hy2an07V97Uh^e;WnmcBR5;ZWsza#o*#cpC>#9`fKn$
zK3=MHeHe)f=2+9)|GU@=s0Z{MD54(zQPP>UGK;|T=&8Spg&odSqz
z?od>hP*QRd1dqM|V?eyAm4YZ*5ew6fF=^tx(qliW;xLh(^bRigDUt3dpyjZE`gw@(
z4<-<4|DDC%(9p26#M^^pUK=KY*sUt>m6eV_r|6pKlinmA^ya_>RYpGq>f4l#(0*tT
zA9X>v&^$hk3bTM`hcBi&w2}UY4?x^nOzD2w!BILV8`N3~qY>zybVHZz
zAwdK&3_E&KBI*Z3AT_A}Lv)??m^x^fO2NkTom_{vP9l@Z@++klHK7WGn+^_|F6P_(
zL51P2cNo{q7gcnMFZFBh^im7V>hyZV(~>ccXvyGBG6(({be-7LJK=0$)H}w<9~4;
z+wgCIO<|pE2AjeT48?itlTSegZ#b;@I@*3!eQ|?Fkoq5BJW)|{9*Lj2Mo?okIW29qQkF6)16ETWVj<}7`~|2Zx_pdHy}i+B%K$h2E9wc+bm91X
zvG;4(0|FI$(H;<`eoB#&p+Gt#^!4`CMGp@c`iA>&RC@~n?K7687JwS$j1<@BbV=N^
zlU-e1AbAz(QV0@M7I0vffzVP@nf{ex(+@~Fg+rm&L>;={M?yzDeo)NM64GTbDzq*Z;kuEFk8{QQKEAP^b?5ys5i(@kMoy+GjNoTz%i
z;iefXNh7UY!Gvb%1)P-6fgIP2IOE>!8T0RgdJht}+(=})&M@lN3g!pYL23b^R@Wp)grOs(#w*JL}LVSvByT%FzpKRFTR3k8fipS?4hkuKTAC0d8hR8tn1t
zo0wgP377?CBwm&dRu(|(!bL6ANaoP{NCv3BrR`~81z<^ggFrc|0Yo{Cj<7zpg>t
zS+f7?#K_2bVE91Wy(*q6s0pjt5gC*aK%v><^a<`LW;%$Pq?p&N<
zCZ^ACbs`da_fQo{oe+iH?gB<=(<~ewSjd>{Q`VJbYeozbVMmtq!PtuoEGf|Jn8~fV
z-)2KQt!l$w02|c`kX~yW8#Qni5c1dUQgf^jE+|@y;U{qiwAdB>d`dZT2dAiS1eqhP
zP0Q)ylJ37ckRmetRW$%{GeD>ZX#{SVt!n6y?g|oFgP^5);k6d?bO~(2DrWqI-<2YQ
z7Xj{y#NYq^?NtPUM-QH-)89VG|D(_I|K%UIsxCZrgLw4+2VcY+bN;=#pVy8CG-#vY
OsGie2n{nFY&i?}TUMXe(

literal 36067
zcmdRW2UJsCw=I4a6e)J;poS($FG6UF2%##yBOpY2Cv
zaKyA_WM^l8x%laNxI%hXmJ+h3uP?<$SpVDW2bzY4**aV)%qM$BMhq659!%|EGBPqC
zFqG2W<>h6ToReB!j6C}K`r$3p3I=DhtgNi2JQy2V-o9#>%*e_LgCuuby1KY*cu;I^
zZu&^Fb@V?Xxu`1{&*OS3al#|cG~bXdaeCc@R{BbTSG7l6gD}(8TW4HyDw$8}Ag-+K
zPqKVAY2U10ZZGdHS7)M5W
z`XFa$`z+MhZ`=nzpH+xe<3}wyVI>L=4?}Xli!<_Zwo$cSZq?dri`J-4&fK<#{1v#0
z#Uj%>G6tWGPQ4o6>YTD~WVT~fB09*kX!ENX%z4_~7=yt~aRr09wD#)})xRLVe
z{h@rb1}iX-6@-}>P4){An1DrVN0DXs)=q_GcZy{bl0`4y)StUz?rLv;Ka)c?eiRXJ
zg4i!lNl9sG!FL=ic|;hBGmg*Bd(G8sjm$Q;v}kH+
zX??bGU^dOi?^g%-aEot=8?l}{)o1wf%jAlWY))3z(k|xJzCGS|)`M}!;N=oQG*XEb
zzm5GX!Tog?iC(E4S}VsOUDSCdt)!$x)d*_Y1yPQ@d7l`z^mIN$rwAohA?rS_8wO?f
zsKmd2yd{*`m#v>VzK25??%RF+_{31sg3<2Po%cN~Uzxv{@|6(Y4z2syo#9?`p7^rL
zUv<+cAavGa$@$9kjwA(hLgdDeb9pwxnfBh3bhLb?&skODM&P;OZa&OZH2hPKaUz1?
z{F<7Ymc1F8qmsgmhhxO7;JK?xs~Ex68O#6`^xNM(>bsz=YUGvYJ>I`GSm-*7Ml6hZ
zt@KuTtW(ZymX3L5+LcWNaQkT+8RdY;nTC1Dr=_RQFX8ORF=)k)x369bbdAf7Y_lkK
zp2eQiK9&gvbZyNEreR9ikmS{wezeB+HaqLOgeu0(xa)ycM`s~s@}VkO#OTK@mvt^N3{VI=mVLD
zd=6hf?(O?7_GL@lSb3WduVssG?;hMqx%?&5wUPRo9ZG)wWr
zAU|ebT&0nwpr9Dtw*x1S7Jvs|=j5#P-tbg48djfd2;j!La=#^z+I($U4kg0&itSg;?EWrJYQ%?Xa+2J;OPW0+Or(p-pM!<>g?3
z%y|F)_Qi`Ak!})wH_s6#_BEHhdHj7LKT(r)CL-_4f40BZr2EdxwUGW`)RU1=HGRk8KZK@%aT2J|;f?
zk6@w9J^eIE$AS08{3oo^m_tj-74s6pxd5$=$4SujJu2ILze)({1q5kLBiZDx%v44oOPnSfk0@|S6VmR
zLV967@?x=B&`=@rhwj$Mq>?IVA&V`2>nA;RYb^Q|-HAf3m9oT(#__!55X(EwXu?}<
zTzl;23g3hE@;Kq9yx{ZZj^{9twnKY><&ukwpQO*j_%mI$nN%8)z(bZ
z#%Di%%dpixx%Fy+_O;pH?rEBNNue}N`g5~sTI*4o*}FOF%O|NYd%79
z=3?ysCD8mYqxN5-);dK)l8$jDPv1O_$nPVl+h4Is6e#uh{N5=#tBf06M)vcJ+SIeO
zQA_tZ&|+&iC9hAyeate-5rhnHM2h4D);++L6UHZlTh^%*5a74h@rVe5@E9((UI?gO
zVoYt5z#=I1ajikzh`SJ2yeIsReH#o<&@Cf9TE4g!fq(i&5ysfK+>9QQk
z>UxBZO)RuWZ!+lE{`eaKT1t%SxD|EE`(fj0h;8^(`j~{0Z=e@9%&4`RNoOqjGJ;33
zZiJMLM|YVK-v1n@RMpCBjBlw_|GbrmbVtaP)+ioKHYjQ~hZc>WH48Xey@GvsJ#%D|
zgrwu>|8$gfD&G%2g?1xd;rvga=c)OT8W!xBPTmN36z6=U0Ef(7H3Q{
zucqHD)|s0Pp$F{-A|M=Q1Kc-I!6tq#7JB3@`bc3qt9F_QbJ^uetWrU(1a>PHdJRU%
z&qSjR__&@o4Vqw;c5@q|tga{RFSQ;EkBLR;v^d}&-g+bOZMMFm;a!r>X9>fxYTsv5
zi`bw@(Pj-~su+S*%bvQ?r|2XZ4$m4+!;hSwdzc1$G9i7hk$Q&TH(V)+e4U2!dW6!L
zo5Px#Y(|ra_e&3)YTv^l2a-@5V=}UUO>0zpY4*61ayADk3Hy!z+4?tU@7*3@jja%P
zViL)sIWnz5>DtZ$o4*8yG?ojHagmDRv1*SzS|oy#Zu?dXOh%UD!@Xzhu}Wub
zgnBRJ#w^9z?}TENxHe4?GkKF}n%u5xDtTl94S0KHNTt!$>9`i&UEQ@}r-3`!j-q+Snbryg3ppxk7E7*BCIFHnD)#~PY_>3>z9KxCTnKHn
zf>mPpip?6qVRiamL449aqeThr@lF<|^JZw2`!X9B3rAx~rA)vw%s-s%Su@md*3xCZT6x?ubjI%^Z}5dFk&1?ln@tjLO{7kW35yCC
zea>r#seK*OHmy~4Yu7gWk*A8#xvrMd_kH^6Q)E+;m6e+huB5ayv$*%WsOH0GCoawl
zFw8al53jgc=i;E}*GExKAge@YvGQs$SG4U07D-ub*UL3%$7&!HN@W7W6e~CEbRy=f
zKp|pEcZBb&`ZS|f$9G=}I1|q1-V}gxmR6odYT&yFxM;G}n*#Y)4yLf=Qhges{4|J^
z2ReMWJ~3Dh&oegUttcQP*_~f}3qZ3NeF+(Q>P5qDKcKsCqFexm-@$`Kfvp9d9%YGi
zRn;_v(>5zo_ZfD*eMLhl9)Y*lEk%a8@*F)so`+k*?R6CfU4zNIfL`;(-GQ?kV=al2YVsuo6w>Jzcxzy@j
zJ}xTYAN>Z`M2YZYtQQV;4Y}4d?h)*jC5(p~J{a(;Zq`#*Zc53<5%dr@1qLS?qGpad
zJenY9{t2)DuW6(I+tr-gXyLENc~$`Qag3uan=irXVPxbqU23PAwzAXX;!~yA))Xzgf%BMX8v}A`wgD>eWM~9cl8tNP
zm(x{1de^>&m0vEqEU+6RD;o|yud{WbDUgl)N-d?iiHAKhOoZN@T<&SYgMmaRQT)w5
z`?CS&IF^LmBD?j5>h*iN
zXE+bi1VXngpaRG+(TPQ@(u8XJO@UVxehAeWnviwq=pxpsO1`Rk4AsQAc|=i`;$sfBF%%Y8v2InD;P?TzUeU11Nq!NQ|H&+trd`BaS)mdynoLgm*P!{8C3#74E|rS)zxlP2`MS8hOWJuWKX3*U+g)T_@biKb{u2q_oJ3+%
z2stYiLn9+uC;@!+lPN&j6*)~SWE+&Loo7|*$Sxhbe&8db(lYI&S8Nq-(L$b6@8q^T4Ov4wUHc7F
zFLG+l&3y>z+umGst-GlGXnm$_6dS6Nx*2G^`~K0&*`Jri1sKYqa_3aQ{}IV4w9nSy
zPMemt_To&8ec$s_=LH?UN)s?V?duv^T784m$Rwt{IXN#hy6}I`g*wG4@>FXei`-XD
zi%aR^o=_Z~>C6>bdlDf*LH2j@a|@Zd5wji=w2NQPtA-UVp39Dih``qP;mT)S_6f5q
zLi?h#u^)=9`>&sT>QfH_5X6o7VG2n68~P<#a=)2T<^RZxHcVb5^T$d>hKIZEmt!zS
zF~YV(oWlbHX@DcOi&433;P3>HY9B%*E3^fEF|-S>-OkVb8$tR$sN8N;4A%91qE^$$
zXpDfLjq}QxX^Tni{2*uD8pStMU>^9JFNJDd5ASM432c5mO7&>IE4gBOA(JX2WoE|0
zyl@bZbXr;|I$7FwnHN0rb+TFtONp_#VC=Vj5Fv4Jc6`0cSCj4xi>x)t4ZR|H1_p*`
zD8lZ3eG6c#*RfC*Sp326EPi`*Am2>LYs+TTd%X<}Kh+k+C)1sxJiHPGzIP*86p5_1
zp-ZQ1MsBXu*9y#bZ>|*}7y*H~y)nPt6^U{AXm*>ln45TN`q(2!PlQ!G=T25je{Z1t
z*8^i&OOkB;QWZ|^oSs-wXOJ4hldEL@PxmLK_GOfnm7^tnD(Zt7Dpf7Il3>v{9pBT^
z(P^ryn~BLoLSbOeDFXJp=O~ruOX$Sh$x%yR{tPR_Ad+kT)3)aFrYg1`W+^Rle~y!6nR`Q
zn1xw=WB=&O%d^qq9!?>rLD4~sd88V7ugap`hAg9nthGu9-NkdR$OO=L{0L=L?s`Tg
znWmYkH7^iPXgyNn+mm+R%FYhAhPZY&Xl`qbcZriR1QCa8aykmeX>=ss|R%UlF
z7VUA_(3L86{Fs;h?1!1`obs9IUxX{i%3C#Jv*O*)IxsTQD)AVc^|54uSwpZ|WCsUI
zDI+E2E;39dwRgx$JTUX+2@2YtS?9levKuH8KxQf|RPYt-?27}9q=zsY&jZuTd+_9L
zFnzhI8)AL7zh=L_L5%^vmb?=PgXczjm_tA}<6ZFhgH(hA!|8Tk^-fi6_h
zKTC`;33JAn?~d&oMhQLS#_oFi;`8$=?2fYTHDl%V3rud~HK~<5Kb8h}X+-Q|F}u?|
zc-T4|q5O*kj&D8uG}0H2-%79%9?rGn4X(a8&G(&j5set@R9BT?fo)GR9i*M+smdE(
zlE9CAxE3N_khad`x4TL!WED0Ba`}DmPu;5{eq(_~n)K?)r`#*odV2Sszph&sZ$k;B
z&Q1Q*Za3JfJx_FiaR8Afb@6~-Izi4#LK=%-t4z__N780uvsc6cvXZLg57~fDYv>$
zA{a8=LXoJ2_g)S2ii%pj24Sb>ud8X-FRk$4pO!QYc$34k$j#cqFAo`^ncTr=WPtXr
zwuFxJTj*^HRfbKCSo1SU(2>cTn3F3rnp)*D5o{TH_-E{#ef!ol4M>ie{PYJmaeCD8
z*hNi^OK`3hFM;n|@lfRQdb)fAn%V4!6ANrGNZ?x?pe$z6s0Lh
z6ATY0;Oyx&+Wc>S+I^m9z?}*tB?Io#@sZaTIbBxkE@x(E+ve670}Zn;*En~@7hg%N
z(u_dYtR7oWeEkdmpF{=nV9M6prS|4k@i9JNaqa2qx(ch9iMFP+!ocHww9d1sEQON_
zG6b#o9qfQZY)iJq<97({emSbXYoXUKWQsDH{xSiaL?z0+STJMSiGs{;4cm{~Z$ZZi
z!H{&Y$TATc<+ccWKoBkVCOFv+QQfpnVLttw@RB#J~5t6$E``m&MY
zh)Dt@Vip+CGrEa|u?Adzvqd5CP4@QvAZrqc$OyTy(XG1JAhqwvp@_Tui!DEMyL7}U
zFv&1dyn3@w-_Qc+8buGA&cV8rMMjebcDPHGSVKLR@*4!r>d7gXBn{Fv6yj!^*2Rg!
z+vn$}hxM}n;D9%>#d{aTxqmyQ
z94D@e+(_o}Ne^SepZ*<`#HLU-gs=;v_xDfS0wGfS?z8by>!^169&z9y=r=^5A@el{
zJ2g~RL8eU>g+M#Xhs^7bZ)=s}d5~_sdq8o%-<89vYn{1c6m|dZ&&+*%1|;U9w_4vQ
zVtjPk$Bqb4VO_7-;?jr(WH`UXW)OVtOY>Fh*zUCZA2f&nr6=bh|KOmwm9@1x>m&yB
ztAk~ZX0toHBeRmJ&CLoRnGyS8;o-n|kyVHjz~20@UQFbxGza(oQa$ps6efYCffk(7
zhd5?n@!IGN@hw_M(23affGNZ?U)@qyu~wYxlfAA)6A0$x!>+wM6=Qh-MprN7N$M)8
z!RWO2j{HLCXVlo@+~0#G0|L`4bC@uy(XVi^oQ*#q#2=Km^h^Et`i!(^cmDK_m#Ma7
z{7S9Dd;j0HYT6?X^WC3E9?9tYV*=aop7d6S2ce%O(%^k_bF+_;KKli+mE}-{;Ii7+oWZQv
znv;0W@XPITd&&4<(-?ZN+hV-0hCG!207^zCwfpU_8)EE$E(xOXt|-&Pg)kjy4VHR<
zBh|Pr4QE;wTC_zo_UafLj}vC=>+9{Dhf8dS7x{DXbdug+7U0EePucyRCHb{fQU*X`
zjD)nsOBo|Kh;cwBEi70mNAV`M^e=lH#A;mcUH(BQY|~+g814N)8zQ+qhn34r{U2guq@`0)%D%{h**
z^ltn5=^6CEoA}{@tO*h;vM7_L5a^Dheg}KBP`9Ncqc-K7X7xeyS!UQ+QDXnl)7g0i
z)(pB9Af01HXXz!@8n0pV-9*YE^Fabw;+m7Nx!BK%Rzd9hNXGYXEe~&wIJeISLveGC
zM>)yd$*4O5jc(co3JC0%K0~9b@-<_4r!vmtlwu|@R&mhxd&Yx1ad&Imeq@r%Ws22$
zogO(0Qyaw
zbk%g;emJK`%DRBP&#{3&*p<7XS{%|8NGG{OK6xxa)hRclPa+aRBkA?jCK3VMhzOHB7MF2ZZhoVhKbriW^U@b*5Cj77l5Qq73k-yb1{2WZ~(
zExkz^05I7$UXSl1r->wFO34V#JU?9$??N3y`9fUE^OaMTW2j&tM
z?bT5%cl>uAIRPbjdkHSZIbR*a?)Uu}Q%~c&Yxtdt$`y?MWc{1PEj*}E#L~I>O4a*)
zgOKmUY2&$)Cdjgt!41O-mzu~A%Wh!w7eV7FhRX
zb&Avw+TK^a;9Y;3pfmgK_K@pk*MXkiURT@*NT%+@3JyK)BZUSfEU@B$5tZ8BvoRxZ
zXbks}^=$1I)J_qK9|P#HIou)!mJpaw06`Lm8B#E#5JGVuv8G+1guSlbxrIoXWQVgF
z3ALeCPlO2fPH9#iXx4LbI#W&IC(Q5k#ZEZ+zi%^d+iXzO;^Jy4h>Coy%MIn~VtJ5)
zx7Z^mUz|o>x{o=Q6*cbox>(}k`Z?YfU+pBHI+s&X^ZKuCA|DqoIl%Q|&@|jfhHF5`
zqN8bHYF=KIz)rDK6>#g>iA_SRwDIJBCq;V5_`ImtdJ3JKwlS-txG`!ohR$~h2o1Ow
zn2)oneaC*eOu#k(A0fR4^x^M|f~diVkgX=>@Kkh%2+damrUJJ)>+
z4wwS#C@RXnky==+om1s5lDsA1QI@l=6DkO5rpFdAJsQ~}UyuzQ&%2@9u+S0|ZjOQ%
z;)2XYbr(wPj`nSKMZPBNZzGdaswQe1-ku^0aD)syHmH@FLt&LtRL^2fnBFG2e@34g
zF{Uqg5t7$NO2ShA-@uL$_1wdMd4q9-IV+geQME|NkIkm$(NH(L^p=}RzdVo35L$sZ
z70Xlyr9I~Kc?)-hC=$;75{ji?x*Mf)-gLOaCF=AWR$Mi)NqL?>llHr+%DW>?uPpt3
zDojUi49y`TnVTy#i~SLB)INNoF)zOsoi4~|Qt;%;LmicvE?n!23<_tM0(C?;XEv^N
z0?6L}CVQCaWrr6Kbc~IQMb)k}UfMqkIytPB2X7)^pyyA|KjS=Fd%{j4r1G8voVPAGELk1(t&0`9K%$jt@VuT_^=y{z3sK^yZ
z9Vee)bifSGYN?{;8cr^bE801FvynDO$41R7&?`3B0)G?f
z)Zo(-c69p#uP-N=S=)V?U+^RE`)yCEgfo5gLciCqcf3X_vPaW4{uQUC8QRjS%YeH&R-(^DyP%ik;3srKe{c);t2`W_KV`N!%RnvsRU)5x}HQ~zwbQPdkA
zsDKdxke*tOWnQt(w7@P=^$^7|tHDbjo3;3bKf=6Pr^K*DnJP=
z++895&AEI#Z}p_UFjQVM^UlU=k>^jhAB{&YNZ1z3j27Nahpg6r{}g=jI=i$
z62#lp6Yt$KGcyByW!P;dU+3%5e_sD7)d}$!)*vA{ir>fu5>y@b=POS0#KOD3Q~&7t
zdxAe-^%eUw?C0V>d;AXCVfOsTp)#o=z4tS!zhA(U`sds@b83g1r*iaaw0$}c?J99xJfX^)yuG+LAo&kwU>#o#e
zBT!33O8x^~g|4r!5kT}!9+G%#Jj2)^;v1x|701%eq}vy0LP{B35|vVkAv}c7;FctS
z^q-WDYvLkhT>R98EVMZqF^vY=P<{Siipn1NTO*1U_*BWu7c7UB5m71Y=U|A&f~p(C
zNPE$zbf}Uec;U-a1vp1A9LHgwN)RI`rA&d)osUwenWG(2{{I%Yt0q;k*Z&OtXZ4%^
z3`^d35Lt@I$Kj0s8Xb7|pDFV4`6_wBpJ6(MJM#RQ>~F+>YO+c2&!M`SeUmMF3an9p9TD!f;bwEyss3}c&0PP@+@DX1bYmksp
zwumsdOoKMkl$>wbZc71TfPZ~I8s)t$TPuI?Fq%sG;6i<&<-gSdDTZySKjLI|l>Ohv
ziYcA(=X^Yz(^t;@$3y(8H4}#~ICe_F$2mm>u@Z0GCg?0fhc=sy6ogLbT^A+~T%
z0c;HzV==TAKT2?K1Q1m_Rr{TCOs*Il3LeK%Ka4y3%YDEM5r_GnY)|2^Xj7HiD^ii#
zbD3TzU~BZNJ&Uz+jj|6#2Z_xv;Jc)J)M_Ja-3%H6llU6W3uM@S(pwJFn;R#7AL@?j
zl|7Dt`ue+Qj~P_+?0Us?gg&wL0ez3u0ij)N;`#YQg`*J20!QBH0@j)NWW^rnkM^&^
zUe}ot?bfA}-uTM#Ww#(eP8GA+SF-<7*umtQJYW1;(;0Z30YSlCK6P%?cV`*xCuP;c
zPNdRk#ohBjUzJj`znKeMt#|Ivc>kDq!2;7Z_9<3N*C;L5$?}Ug>#oT>>?BFNR&Q^2
ztKT{^ms5#DCULLSsROxXun?|@Wb~MNceS-_aV>|iKC6h7#Fw{UG;dY=*Lr(>FWDfu
z;@A@CLpAmFV<47G1Nnv)Sm=s4tPAidTF+^c;c*^!+uGX1zP-FAXg5;!K1laEFz1Kq
zl&@gPxeMP2jX1;?wlUz8vL_mOnTgh|AjmTBNSdEaCA8b(2i(6t2x#}$nnzJ&wH2HK
zJsTw^Xzy8DkPE&>m^Kuld9?+Ny5=j@gE~dq5MxC)bbS;xlZ{pKZ2=^Y_Y?v5^m+!E
zmkKm)X;~)EUY8@%0#9J9+2uhC~IZ}2&FDs5zRkzN`r@D>|
z&Je$){RZP#gHrnBo-*m1)NKhHTDdlM{uQ2Erg3&%!iwaEF=nxq09r3=;Kv@F0VKy}
z^@@+Gda6oqN21Kdz`7!{2Fh%m{M!dx_6I3Mg1w-HySu;~x7io-8-$$mXHGq+?DIMC
zwg(}yx98ll5-XIvYvqFvn_+AVRbpjHUze0NY+81lFJ7VJju{Qf_1jxSCh>SroZe{z
z9)H*PnoK}c!6nye-Y`iSH83Dzi5i^9xVQR;yKffmD@%M*PB?V`o_rT|85!13S(lW!Shez|mfY*8s*V%d%o?a~F4h+YJK@NkHs-`=K#6$IAR#1_v58v>M1
zNc}v=?*aajxJ&(`mJ*t^ez!TddP^@7MHG{eV_x*TpBgO+x3LJ!H5edz`fi034m0h4
zCxvx&B;weXw^)B4!Jnba>6^f2D#D&nhmU|p$_n;Z;YOZhYSLAu|=e%0ut-)r;lUq5Y+AM6>!x*}_K%|X-J
zxGv7%+H>C%XpKU4BR7eACU&a0vj5SU()#d)aT+L%4r
zn|B-<;L2arihh@L`bC+5Oc&0t>Bsz>EVfmubiY{*xm!9SQdv3sok>ifftni?S22GI
z&Kh1d4h#s>>p-)6@K#`w%7uxv6(LJb4vk}(ytsbH=4gwzZ$6Iv!6Zv4?w;6k(6PZF
zuh<|jdT8x-ah{EH-Ov~${T}ag^5IwJlC>C4Sb=y~f1cq9OHe`+Qb8G;sG|N8I6&N_PDtAP`3&ee{v92+r=0o&Vu59H@E<4*0O~=de|rT$4uAGOCIGcR
zXOW})jSD}APDNI{e0Js!Kw>iCzy42b_>Ol>mF*uOCUok>cbi`g!DFK^LHa34on>sS
znpup!X*P5{RTwc-?1q>TQO31m54~x;RW%0!BWMolne8SE8Tpc!p6a1*So#PjI7V^^
zO&G9_1oqEe5y`1map#c(XA4Z}Cy9RKkC+Ig%bjZIEKNyy`7oo4#qKrW*b|xprdq8y
z6UA2-SH~;4)^+)PvUP-x-*T*fm-KYvrHKy0NPMF8Se*eIFx9j)A@f_O=~m_*=tcmm
zP4-T#NftBOEhH3JfOKW<2Jjps`A+rkfEp4MsqX(r;|_$KYH!+t={%#h)MT$CbYu
zv4qPEAfQ&{UMBvl!IskjCEEvr)t|5Hm8sIuFsLj`)-=glj$PM*tqd&Ix;(
z>qyg;AZH8lnjs05#Z{bRUuDCpnw+Qraw?q4!D8QX&mY@5Nw^k^`qG$bD?~y6jgp0&
zP9y)=lN*->mhKrz?XsHr_;H)~*!SV%Tgn9@%+Da0K8n}8EUo71bF-vL1tdZiSIbAW
zP+3X)*T-pUUl_7ZVyPq4Ej}{K$dWv`4AAfPgh-&wzow-6&6U(&9ouh&Eby3^85?>>
z!Nww(wxMhIQ)c4MAF#3~?#-0ikLQ@TM9c%UdtY5W^lk`aHqdzV0WeG1eJ1X@9p{DX
z3{{onfJIAqm82-4y3FkWp9fZ&h;)_16DV*5;k$`>)6Gc%SbMPL$$NU=(Z^@Z@y1q#
z>!J%_CDZa6gnEd(_l!KIFA~@G(sAEPpa5)nDsxA6XJ}?_0HT{H)Bs@n+RADR1Cs|r
zLhKG^2iL6&M<)Y0#Jt+e;&4Tt3n@EBPMWEW{j3LoH}QbLKv9bV`If?`{
z6p@jbc#Ek055nV@Tcx%J%m8*5+uP_Ca-LC2R^tGAAy}f7#&>5#rgt!LzT5NF(NIpU
ztd7S=jut)m^p|qHq#;lwx_i>qiybCDbI+D-bSbjH0x$Dud3kv`j$+#XTr0t
z>z+r`!0BGyxlKgo;tgi<&zL)a~$H(7gM1qk&ro
zwj$(Fp=M;nZQ1`Oew|PSd_sS^Zd55__{;)8OIR{a0N+!uI5Q|@sMPE_wCR8N4NTv#16tZaUOknb-ow)
znE)W@W`Q5XS3^UP1r_U3`yN({K1ZWvX|GV+q?Ww^>$s(B@YK@3to~6)E6l;y=Wc_<
zt@ELCt<)+ngX`rX)K{*`9rOG4r~|djZ^ikZQl6fd`^o_KnXv3cOV8{aPhY>cIG5qk
zk>OEU?eQ1*#aOWy-J987HJdh?-iwm>dQ(24SAgjJ=}K0t)XcJ4CAI^A;-A|n*DbWL
z1Tb#Y?z}f2m^+{9@Ua-VBaMcgk2E?T365HB*awfPOq*hFbua#PPn@wI^m^IvuE{NM
zk{mzr`nMOrn4o|c3!z`Ym@_6|A?IH8`IR#8b**iGdPa)KY$wiPAd#hk##s=KjkT*`
zoC{8pRVt~|X$*KSdKbB`0}rN&w+1^F2!-&*|Qo
z-cu}1f#f0$ch=wVC0@A}#OK?6%lY>GN}l}0&x!R>t({a+bg%2U#0u#ftB4Pe@zh=+2js}lCkK=ljD20A?GYbHX9~RoTTUQ@bK^%gR6QtISalC
z6eU&8JuPity%_zwHsM%wzN9m$>gE0~qi{c+}Z^7lvzzJ7b&ObiOgFe%t-Tl-?Nm?5a-kQe~3QHM;y5S99Pi
zv9nZ&mb}Dmzz%C}YO>tZZ<%A7@0hXy_!$Wy%2*6TIk~z0&g~Lx^Brkujc7qjWB>(S
z3Rq|Kt^0G7Er$;)D?P`&5w@BwM5Eu&4L6bw90Hm^&eBp*2?l~-1}Ko}<%8mW`f%bV
zV;wHHfd)GJs?Jo=B)=E+$@Ez|OIeNQ%>5OjOda}PfzORft^aldbk+>jZ
z_Ll9ffv`<0>Xd}RSFbREG(DLf*g1gm*?=Lc!ONZf6e5JnEq72ueN7PgH(_v*P_
z<+3m^rLd!v7Jyr$1IC6t(WmhquQd=Ly0PPc#I~>@qwz^Z{>iOhVD?1fn#b<#@
z{rE&BCT@K1UIN%Fz4z^MO~-jv@kEdHnN5s3sq=zD4fU_>ic3je5Y>viB)}*O&vu><
zq7%vKj>`2}wnp~Ak4kKtsTd}b9LDkSwcr_80%B?4%6!M@-FNb{B7#4yW<(>EoDUaB
zXkfqrw%UlhZ)lUj?G5yR*lValGJ07wnd~_8&-r)GZKG4a60s5ic|#+R(h^lwB@R=Q
zk&y|BFdi>+{4nOZcmsH9=O#m>`iO=j(67!BZ-)S0q35I!eoc(@%$bLiMjXQRK}~$6
zW`!q4jasa~$OjU-*mR~ehGeHJvLy&JNddc-0bu7zVt`s;nz-5X%M4aHPWW?KV`QZD
zSPfZBX=tSFyHYM+%2#*V_>f`mOvqP5PdP(3XUwll499-H#Du>eSRx*{>=KnMTG^{&
zyto*vR(xYe&)A+V2F7e#qJF*9Ji}>WalMHZYoXcaK0@Dp&p!BF)|fFUi)j@VdX6!^
zM-p<~O)gUDn3E5e`sE<^pGeBfzrL%g=8I!^@n*Gm=d+xd*#`&*6uQG(zPs#Ye)Zj)
zlLmJ7;)M%y6EB#wbahbyK@M{r&xk
zd&Y_Pf&j5LBJ#PwrlYC1UCNXf@=zuH?vbCjRMGwc6Y4>omVU9(mc`RF#VsTlLniH^
zX0ozP16Wi@dO<-!OB7KkenBRXPHQOu=m$V4%mWK$KkzyB<&cEs#CkpzeSA3j4gqW|
zGIo-l^HFBO?;t*FO>BnPqJTi~95vPl(%*Q`_QGHjf0s$KCR
zn9Ow~Hn)lkuFeDAMC=V=+1`(H-d-^`wHY872uvn`d|pJ<_42Q&W`M+*szl!<0g#l=
zuIv_)n0J)z{XIQD$(|OTnyUW2;zth447AFVBiDq~)yAD#
zZjkxkCh{^wD`sy$lir>q!2d*RK~GOl5(t3X`i6WLFkxo^CJ6Yg+#WgOaibN$%2f=~
z%`H^4zprlrupWJfw3gUP)w&?q-5xgG)6Y(F2)64_W|V23?o{l!_jDP
zcMTWd?^yt(ThEWx$zrGJX3AVe$T{HU0$&Vqimai;R2MS&d~AAZ3UEN+O2Hjx482$D
zz`YBIP!K}P*!1us2@SOO#U5XPr6r)J+XJS>czp3-`4s>u_u
z;Kh!Ucc*7&+%l_y&-W3itJ{O^z9|Cj;_3tff$T*sFxg}QH%?}xv9B)ptGb(;Tl};O
z#2vG;Gp}-09^6196n7!^zK+g7#j&xmYOm>`#GANqQ?u46dS~e5dK;f{V}ZPU*PTFX
z1)~9ab*p^A3C5ar8r(4LS}M&97UECaDsx4`FG`eEtY<_UdonY&%3yt8bD#=cwIm)h
z)_Ub#nk*E_&)>=?JR2<=1dmZ4_?8f;S2V3_!v-)+cW|~wad>mAT3x=iQ)%*o4y=>#
zFq^0S8AkF166UO=9?JJ6H@##rw|tW4V|=9F?kj*;a2x%m8>&Z1DZ{{xQ&>X*gQb8F
z%exR*7Z&d~rwAIkYQWL%h`%5@AUxtF!e9C&8HUdrDrc}&-OC9G9*w{W23yVRKmK|9
z3zwM4&z*ukb(1HOiaz{3pLkdlGw`C9ohhlwq@}6Mbqs3WU*a2HXyfzi-^@-~CNC}v
zOc}JeQ&Y!7_Dl-(ASl1QSP>~c?!6dsS(vJ2^Xl=LsLvB_q8IhZkCv1hUU@hc5!Ys`
zehGqDR?0YM@$_QqikT^FM-7Y-nVclsmh
zRv*^QP|Hu-TJEj76=14-a&zrh6*c|RN9A-Y5ME!Gf`6VUwIq*>BfUOnqPms`NcUe>Kg#pzYiDb
zaGKil@vp;bGXEf7466
zo!(h5QPjdT2Y_o@ALrKmX5RYe`~3AI_iloo)zRz6BPD=CL7E4Y!Jh%!5OsUfya@|3>KHQ4K6
zTjviCyXehU#~_2#jQM3Zb?J|4UFOwKw>fPAMkAojS5ea#=^fbqS6xi&^3qPA;R_js
zrEeq&QcjMCVD@)V48B2sOuh!__V*L96EMv5%bES>XQeIW{=R%uO6HA|zn9u?qGd@H
z;4Kut3*xtL%NhWd@?Lm+I2aBAvle`Hb+Jc(j}Et^)44~ahg0&r&b|Q+d`37&m^R+-5H4wm~1BGR5;x>*;^^@sMa>)1h
zor9Feg!xKj-rIgtE3Tg4j@h&JVoZ81s}cv7#O#3^XF&7CGs8$eT5?}f_r~}o(ftn6
zgx4Cq!TpxH*k`}PqT={-EKdKPpx?edqW$BdZ`O92fBkvUKg;=r%Yhsq&RoCa{3bVp%mm2RPJSzc|x`z>4PUgwB$6_)xu?Urn2Sk==bGf`1>
zzAzn|mb^OHTS2Bu}^B63japT84
z=rzomk&bK^>ZQLInzYNKB1f8bj52Xe`zESQB0TSZ+
zr9g(QRiF@Tu;*%+9{X90un#B`h-P&n(Ra>v#>}A7Et}Yh5bq;Jr0NO^3$urZ3*jLF
zlng@?EAifIuZU*^O%m}QUqtThD!O$gN{RJiNCVaIi}+@bbxzRV+afeyE_ivaMI*f|67(Gwsr;yx^*sT|N5akBu9>PH&7q2fGd
zXkcAL_w;~%>+L;np}u`I!{KN=`Y?Tox1Z4{cf9;R?KEIrpv~x9+}Dc*qz005bfFlr
zG8R@m{5RG)qiVv&RJ{rK!}OdS6(mvfRx!hD73ac`ai9e;!uMZADV6M3LY+@~D41Vrr(*mf<`eg`-mQHexSUPQ00tyKi+16Kp9N-V&3
zT*PLd$Q}adyj^#!<6P$BpE(-lFve@9^zEx%lPc|`+NZ#W>|vVjKcXCp`uCQ`s`ZhA
z;5KXAW_o0T;1)~7T}=h|9%h2Q0YqYx1qOC2iP|jHzoFAV*jsI2S_E5Gx{2M&e0S=i
z)WNzGXa)x}4Lk$?UiCgV$G8;pWqFRuti>#BGhg9|^$T)hGw>Xsmh$*v-eoH&EUX~5
zYpc^aH%_JuC$D-CQm2Ua?%N8|Dh!574{tStepVS=QDG
z-&#v0xE3{p;ljnLIJb&^%UuAuC
zOzYk>C4c>MvKLXqP1t+|SX|wa*rI_5VHtSsB{sBjkgcDvF}uxJjj|Hrn}dsDFCW~Q
za)2>ZIP?7%u3YC6ac!G-kXL68UiK`FWxq`ds{JD9Wc1gZwXfQaaYZ|SnZ1RNWzLXA
zYg6FEN794n>IJr~{`S`q9*@P^lH0BunhdY_pydJNU2EpttQ_A{i8S&|$5rMo;=z{0
z|DvJM8=8#u4E)`IC{)a@!P@DipOI2UKtLztMx(B-er^62>|5e?Whf}?_ZLdbD
zP!TE`SQ06jXPU^$P@&9}d0dfs)}&<0BJ)rYAu`Kc5y?#EDU^9g3(M@iZmQk$z596H
z=Q+Ojc#iMef9zuqtF?Z=d${iFII1Ij9_b8|snX5M9cygzu2nXC4@Cye4Bg1ag<*D~C>eh%P_mrlGH|4~^7#M?Qiy
z0aoKN+yZDnoSNis{;Jzpv_4i}-~>`brVZ0KXwh2lCwBC#Tx;kFx;yEc{UQ3b^S9%U
z&{lU8^UTDWw`bxAym}8E!tOJB{>p#IMdpTF=HC%TyDUm52(iFIv9m7%of{yTfmlt~
z`EOk&BB8Pff^}S)Dz||OAIWOj*jAuQ&!&Bm7j{1H_3u+DD#ounA80r<+wW(B@C5)V
zO%PxPV*v(}GmNweLPBF0>Kp0bE*x@E0znAi(PMQ6GE;^C94E_U=V;1}S=df?CnHoT
zT;L`iiZOHZWM~2yM>_wgAjCpha|!VShCAfRf8}@Y16WZ&NVu$_@rq8%{tUqy?BUoU
z3`GqNgEp)QfboQ>{&LfApPn#k1xsUT{L1(G*=cOK1#Avv$cG(;{6c8
zyUR47B6gyXqy^-oGjLL@wYS*>1eB2*A((AiLwz}#5Fd51VsVn<*JH4B1qj6(?ir$O
zjK73505$+pB?11@YoP)U*o?Lvz(ec;0y*X8tN|6xXRjDi^^iI~fDPVxP@Xi^y3X>f
zF_~&>l?54^5z=lqp;5T>qY~*3;3RQc%yz0KN<@n}>eohz4a>jV2NifSNeK|hoDxrK
zY{aZ%8kd2Eho-ulp{1MBc|VV|(C*iTXxeL`jdzuk`=7G$)8
z_RNF&#oPdwLU{?N7gR^q@tb5|`k^2s#4ap2!a+6bKzVm7#RyT{iCr~Edr^DoYF^_I
zKj$9BdIy0QB0e!{lZL$O%0HKnAHp5}A^G{UGFneNS@@{gNhj7bEWt!QH4UpW)fzhf
z8l8mze_A5>6P40Zvv|6f0+)`_B#M`H`rg#~Q5WEFZa$Hp#8N>u&P!@h(Ze6RqT_3v
z9YQ=qxXH!oPnZ4XUVD{*F3+T-?p+wtV9o0jDQPwIx&U_%p8l~!Q+*r$alx@DQt6vs
zr2#%bsm9Veb98ih^!bXtcw5vaek*&`2&;YMLdl8|G?ohN{wRcaP_6O1MtP$m
zdxKZ6{ntJ}5;fTEEDQ-A@2~Uhe)%6Y&YRNp{O5OS-}f{B`L)ack1EH|p5R5z4*B8l
zgpx)6WWvNBbx`md!7vZp(?;K)-%xXXpZzp^J;PP@qJj>3qFeWgY?GvuH+;!ey>FSx
zs%7e`ej$bFl+jCMv@`U7@Zsvc>vpq-mA8SO8F!ICq~j3IW8H)>;N?uAF{-gU}BDudHF!=51fc!>MH5CgsBeW0y9R?Mfoir3vnK_Hs6xr}b&u
zSuB55Bw>v6s>{rU>`93mmbF8X75n(^TIm7x^!lnP3HbVt<95<=%9ee-;$Hj2e;eoCHcsl!
z=s&-f?WAuU{On)#twurQCt^e7yDNS_hce|mw)WjxRb=%0G^nlLefrO$$n&r15jS)y
z)YNDYC@-+8W8mTHVIY1Jh2m$PHmAvh<=3k8i{2j7&9QX7tS
z{hlEy%rmlI|FWz0-R{$}8zX=J+4IL}6!3U_UZeY61_pt3*J$^N>zj93Y}U+9XrFE)dYr5kSNmB
zrix>4&*;i3_F|yc#|XBc+PG~k6deBY^L;U!8Geq7ySq#U!)f3eOcs)&Q1=hKNlc+r
z_vk#+e&~Or_82t&*=R={_fYqcvTl@YU0xv-w?IXR+*hE%I0_8Gs|dEIIM5tZfZF(l
zz-=JJLi?pULMWs0O`#LX1gwUkBx{0Vp*f~#?NKlbNr5!(?X+qj`ZW$f>NIG@4-HDJ
z=5D1r*m>mWK|j;(0*CfI8`Jz^FvQjD$hp}9aBK{GEdcFVPDQ!7s?cX~1V3U#C4iqo
zNbR@|^tkr8MOuGH)&Vgw)WrK3B(--q2_+Gufh
z-0}N6vMl{dT4Y&(1eC(B>e8XnXWo@}wXLmf0bcqw>KOP-pC_Yar~?`dvWY=%AAsI}
z1_CP!4qP_!dOZ#V`ujgaL>e$HX#k;jrcwQKc`tAxPe@CiWc$r&mI|X%ea6Pvcd(k&|V0}B8@1rfTr=0f_~)o
z?c1lpFG7(u!r~6r7&QCIuc34Avvnu^)5VGWONeL4XxI4+iYM?!PHkL5x^-Mbx_%|l
z9ikuQ>|A?_FW$`Ji^C0{I-Uy?0HpY?d;t{0PRO6({lx{qV7`PfYheJxPiA(L
z@}{q!5UM32uNqtf@JL&SM+NYm$8f@+ELUH>rlb@Lteb4FBoOMtHhiF7rKWMKf(4Lx
zHQ=d2I_o%Vu=eN}2J6!8r;8>>VaOYo=7~?FvDOtV!N){I^3QeJ6%iRBeM18=3C-lu
z^HuOps5k+G>!YX||z$|bIIGiVHlc0n@vdCcWd+(Zw2U^ljJ&RiTgST$o
zvW8YBl;*O}>UvDBg6I>OD}WhIOMC5oI<1!=&R$KOM{digWXUq9-mhufrVr)&$gI;6
zkW!x`(e?0jE?Qa8Ycsxl+K+`NeXHh!si=oGn)Cf!|u<6jD?YX^LT68
zIq>~xg584nU?aE54h~sxuL7C6@%{ZBeD>e3BWgTq*kkuxfxbD6$~3IKi^y&PoZ35Y
z1WIG~3|qI6O2BW(Y8s{nnJ99qIzYw2CUcxnvhd5XAG}U&RQYH#t
z_cc!BDKAZ`=Bn5T$w@*R!=6X`&n+D#E@^otX7Q6(kZi+s`>vLSSm->5Y@~I5TZJu?
zDiHQvXHHsOz7{1ExAK$=t4a)&lu~$^TFRj39}pa>i)S^nOts3rxdXLV;jUBF~*
zgPs#OkGsy592$YLKLyzZ0HAXftb$B^jE#(pH1n2$4VJK#lA(1$0}4S<$2$Wn!5HMf
zYUz47KdCY6Am#r?Iw`*X?oNq#v0-ggcdVTf8wZEd*Vn7>+Vkx=OOiHV-rksLBE9PD
z>};<81|SP;RhI@%$D06|K{W|F>8n=<4w=+RfPp$J1sMXc!bDyj?4n!qlyTYUGX9WC
zbxQOSvS(W3%$t!q0TAFAt`j|N?j>Q4gg1m(Wi1C5{VjJ8;RMK3$iN>I_dx{ywX_LN
z1@T-%wzdzCyMwe9^VISR$E`H8>Zt+rS+ijc>V>Z~;e+fo15pIG&Sbo7@#~cs+KU9I@G8)Klbw
zx}5M7adG_Af@S@dV8C$!XoRk@pcc|MFfaic)VP)ia#INkx=26SyOih9WDlxm6M7g$NGv+7f_zH0Qc241=$hlCiOIyiDD?CTFuGuzaB8M3xuRfa@Xy
z_J!{yR9E35fxbQ+A4ZXDU`&m_hq90>jAUgt7SD14BxUp8
zsVh5IqUg=_?5;L%4t1y=bSHfI%2akpR&%*#aADJ0@HL!09p=8|;laTatVj3jp1sc+
zPW?!Q;TWO7qLm@=iJ@gipk`Wqy
z@+#Nz6?S4u63_Z3a$NOL;HA(>%s%6`v{P1Jp0@Jkq7Ow`NZd}MP}FvgO_L{sZrf2;
zzTM;!bLrZ;Ee7WF!cV*hvrX`44v*Q;0@Jd=dVDINiukc}j+MAsBAUN#Mmem_$a~+H
z@WF>uOV0U}a(x3rVp!Y}F9%bOft6Ha)`*)?`O*ZMYOeCus^uFQ6ddhS+s7tkNbhNh
z&3bB8{scv%o#a&X@KUh`Ub#Fv1M^9GT%-q0qG$Mt*crZ#+-qiiX1+4vwx}^nw?lMV
zx~gFE)xet((}XbAa@&*7iXx65yIM}r;~P}auAbb4d0YQz_v!ToyWv;Q>u)o;pM4U{
zE{mTTFlOVgQuy@SpH=yv@BcSnrh)Au$6Uxa^WrvBY)DD=;Ts6Cx@EUtcj>O&0DTV=
zTR1%~D%cpGnA_bcFKFOf!Km{j;Qc^ljCOHP%85;!VdlOSAJa@Z47#_PyyPjr_ddbX
zKbFHQf(aT^hV{x!H+-jDygVR1W^B*go82nU&lR*hPeD6)F=#$S@nc_K;3sqAdD%tmPV{U?XujO}8ymk(DK&|_XJcg)zeUAK~LN=+^cd0xP-
zE2}puSr&4+%W~izmQ77>cfd_w@(VskT>H;>-NU}V{!r+sN!mMV9Q4|DT8SK~baZLx
zjAlyvJZ;z*jO8m=q}KHhIJ7-JmJ#=ZX~0jq$KU|Anl+cz%Y_LSWk^|3brC0WZBf81
ztnFBPgbPkJr%a2nu70JsP0m%q!c0S
zfcFutAW8Y&mt3Wn_|?BQ>iPPAZJ7`#vlo&a@DTN?39IUmh8CtEXOKSrV}|r6p6Jb5
zaq|q1u@XET3^eJ2!yLB=li|8pHU|Fk)~|um^yiie^S!yWiaw-aar^cS(0iGGX*tN7
zqf1<2ap3Zb(4nOp5^tvWix=4fspc`M^+Np5O6PB0@88`Ye>YbC)~uM#Z5S^eGc#YI
zqqXTu>d~1GD-!w2&O<}J-qEVBB0_Ay13TaCwomsx>r(tx^@KeRi!8dbI<>$kJvO;x
zpyoL(*_jz}EALqQ@r$~$_O-$Ap4U8cGxP%FF8(-Rr@EP?imTU5_aR+{K>1e+0l@nz
ztN6(7bIAYjxH}N?ju}vt0#V{(0E}0krPW6#zfj^7hp#5C_lRQE8KEs@kLz}M^>gpf
z`uNhXZ48Vs-I=}r!~1Eri*rogZaW(t>KrH*ipMc%+4C%}3;KnfF)VMxW{szX=Jy~+7@3Y5)hWpS06(woS?
zd^ZtOtLPzAcEHG+{F^UN*vnGB(wPA$%Z~w`EgcRNWzu@
z+aDaR>8FaF*bMtu(;gC>C!Y$H-Q+E^mpfO@wM9F%lC55k@*;ouqKFCv=1)ANC!v7p
zd=&^K&YqjaS52D&l|@<^8Y4`-ao+YN^u)7z@mJ-^_E&RpjtP{1hP|K-$~SMJZ^{FQ
zaq|OR&xf+P2ANNHA((K*K#vmS87bWK8*mV#)?`on$$-Kw&Wol}wvN_Cb>~?1N
z_0aimpN;?S9KVsyqsF+$Xb#1$o+^8l#GY+p`on!g8U5?HkM#X?<6LE99fnT`aeKpb
zDS5+nA90AMai4H)ZdCwEWh~FuF@7?iY*S<`C@t`xjb)fq;oR4Au69l==;(S!tLuBW
z9S|Trq0X+5PLvDLb@s9?dTg3QA?u+ZAB%3qdCTU#&Vl+LQj33g`2Nb%{>oFBhCzDt
zSoni#e!lZb=$0X5#!X#JSLBM-Lyogp++uh&SL0UONC9{*_wIkXiGvA3?toQ*0#^*_
zPM~qu4EHwCc%J8VoHjz&fkCCE$U)1KonhK?QfzgJi1e+t-v&g$oPBA%OO~jp@#$#{Y%De>H6aCk6#_4z*u(8N(?}viyze2ky8t)ivt)$yanwS
zFOc9r=x_lp13z*lMrs(u3D=I%G{BCX24U}u5>wJxTgSldz+R~OfEomelP1p6Oe
z+87Dw9LOzj3Sf2lU=YYHI9vnLNr5e*T2?N=o5+B7T#DLdCP}*qI=U=9B$3iXpxDTR
zrY3+(nPAx#Rj@|w2lS3{3Ta<%GS2hpls>er1#$0sGZ&N|YB{PuL99h}(A?d!vJxr$
zAWJ~D4EIZJpxK3Ly~|RmSc2TkR-~oeIrFC^mGy7aF8Y2|nE;Jgnf=rB^yCy>bALa4{2b?@vEP$22+=^bNcX6`b^+z$K^
z%`09UxR9cmKMezijAVyWH#@fk>!5{m1XDHygP}_bkzF`j
zd_==SJJK~lLtPoB{RfcCD5a!SE%WblDib>OXJ5bhttq7O_
zmQ?;sZdH{m!oUH${f#`*70*d7er5KT4|b72w4{I3TCHR@$~S^MQP>3!;ye)C4PA4(
zkfFlSEL<8kK0sMZRC9ZRI~tIjWBGj5>pT-+(w}^Mltm9tUQV4%c}4S$#ggJw#mA3E
zg%sZA-+V70`@GPv46#V`;3X@m)V)4Z>c#Q=e0*8Hf)`d>e#E3sE+$Lx$E=#dV!`9D
zSy@>{4_@baim~Y0ou42CJZxm5hn#1T3o7#EMo#Ns+>*=}H*PKgw3La=NF<5?uQ?y_
zl{sAy$!PUZ?T2I%Tj2E`z=Z2eV2kDvIih
zJg2sOplA}t5KHTorN!AlWgnk(;gB(ny9KXcA2U&`ws8xc#$lWzv09)*tYx;SGexQ?
zvv5-QDlKEG)E)L?Z*9&?k9w{Ex26}o%fEN>1_>W8v0_c|I
zb?H9HAHb+Uo&dcACaI{k&%2)%>DzL+honBZ1wrH@qHbUyD?@-N*f>1elA?JWx1YyA
z_F`~v#9s=i{4A>VKYREeajxbG+GKFF2I-wNlFKToswTklfio|wWHcT`k-(-$R^pYx
zoXRdPE~BF`qAX%d-%ALe@pp!lzW*J*b%YOENa%V`(DdecS3qO}Ib7hACd=v&PzRt1
zLMUHnynHDQ)c-_8t22fLRVbIC2z;7$
z)7MQWz-sn<`#=6=H7v
zR8w=!);1fP5Etj6|AkRON$GPQmM@xT;^BEFb`Fj}EFV8V_-h}n-uLbrbSXv&bufVd
zKs~;_iR=?m6gmTdiN6qGQ~~RrPqnqdSacle@0(j^)SuQK4Y>MtZH6$9#s9Tx;jdKa
zZ#sGZt107jn-%lcY+?Hd46#C4p2PT2D5z(f`D4-QhV%u#g&)*EGc&K7DTh!zxjTiMtSdq2J*uf!4*CGRF;pT;{TMn=N
zp1XTYCb|zCE=T^S@FA*dPOtVY7R^rfyhff?C@%)_A0I6JVdQ)5=Q_=t#EMXgfM_)i0^wXa;%`rZ1@(eeG)E_an6PAm~izX+}a7}OABb^ZJ@Je)7}h7
z`wV!ms{nbf3BpNUq|D>FqSvSaNh)3~M7e8wyBftoQ5Cf5QD$k@nu^aVcO6kjO+4tR
zq0bt@xz4U2sI_DEKphW_
zdtD8p@wqLxxQ%}&Wy_cxtN}gbYsj~gHJ8B6KL(Kh3&=nfwJrVq>w9g$5DWRMf-7ti
zx*~a?Ds(MsK(_3|Afy1X5`?2j6D3mM3NZ`L?8jK-Lz@Q_ZxPM(87jBAyHL`=k~5oe
zy~F-Lwa}xM16`qU3YVq7V5BH;_?`oMtu1KrFwPB&Fh-a5tK-!L2QaDJHQiBRJxh;2=w<2CvCN<>)KK)NL$dnrzMFp@I`M^XXsipbz=OJ(>SB4A+
zEP@h|iPNW#AM0u&MP>q`m)4kv$d7vzK68_l2LTxIK+z|FUY!hCgE25O;S{+tD(!*#
zOfYbcV5=p({Co+rI+?Zb17{v0CP0i~>;v}uaa`D`8)tK}W$Io*Ed$iXs}T3stlS~d
zRE8Z7dp8rBvM6sywp^g!=d&KVj2nwz=>sC{XRyxQ>v?|7)JR5qfdFmeCb&`tc-uyh
zq%vxi6pgwejy;-js1Tl^TRCDX1!pxE?4#n@6yuD_y!Rox#r7RLKopJib;y#6)M@31
zC>h9-05PyT3WJshqL}9yw~E=t)|O=B3#OzZZJJeGW}1D46P7wny_UCHQ(0l2MS4=R
zngD$Q*~ue0<=B|nXp1<6F<|5i6RS{5d$qW5(Jvu!rC)F*Z+G#%&G)&^QqWbU9ogum
zTJlNF;8}_L-teZP%1_NYSs&tFSyW4;>&IL_mV9W(!rc#d-f6cthmmjQ=CaIQ`EJLi
zKR|V-v~mk!artg!NukE++z6-Jqr|kdcS2xo^1VBE(5gGS)**vC>J$dEQxSLmjFQ_*
zd}`{cHZ%SY<>jNmGF7^K`LVFDu=V^8{hXHZj+{%#83T$|sG73C6%1tpaFQAvh|%q6
zZszYz6A^(+RbZB$U?W8x8e)99@GT&Bz~X=n(qq1=d3y-9PyiPA9i|{9*iK0qRBfOL
z2ac9~@0J&FaTf``3_?0Z9)i_Ha63;T95@7YE{%Zu-&K42H)j0dckbSO5)$(A`Ew?}
zHi=R^et2?HSyJ*o@^%0x`CFf|OYyT{mo3K5##WCCbZY9Dr%w;V``q{NFo79|o0cCS
zQ~hpTny@$35=CPrZ=H(7sWjzyODLOD7xD%lz1h%sZsWEf3*kru{^HcsI^9*2Fa-oK
z8=GY|SbY7s8>;(!7x%%hUx$EIdrLTyP$rxmd{UFpg(nHl_Le+&LLfX345Y!u_@(>U
zO>_$3Vqy}G966%39C`cguyxpKNo;H^c?Z4Uo@o*(yyIcxm?;VuptB9($-tAPg{woZ
zL&L!E3JJG^7?pJd?4S^m-oJbZ?jz_jKV%uM?cDX?_GHzx=sh#byDAO#3M8JX(iuO#R^m)bFleC*-Ow(V$cY>fH%QJPpH!ON=z`C~A48Fn1r{IzC&
z+`D&Y^bHM&H^ELdFe@@&UFbKiqv>^KyPa(x7=
zPsTSUKt3kjaN1)q|dv;q}TXD)2r>;HWmg1m*_^u!)=OZ5_$_C#K51Iso0bpPh
zsEfqhHMO>W&
zqiwz>6obO9OK%7P0o51YVf%PH78VwGd3mw8M}B@S35xNVfFhxGEbzBchzB1h#u-n>6(
z4%99z#-Co4`0OCo)jh^{7Z}^7D<~*TLoxyE?NWw{ipt7HIKR5IqNAcx;E;r}5alWZ
zwz}D$Al74js?~&SMgoO&1}y}wr}`vu3OYJ{RV%HSRJee_1xVn?&;t12U9*zs&m%c3
zI^-wvOgS#dMi>NJ_R}3WkOXsLG}&D^ApW4_Mv8|5DDFX;P%)kb+huMnqxP$Xppu4$
zbI0o=wpNYslyE*{amb*e+_jItcrJ!&)2OP=!TsoRcvV%Q;i*SnUNaw={Zzi!OfnP|
zOzeAj;FK8F{kmsw?+sj3<4w(6-$Wm8?>EZ@(AY(W0w@KoZaFxXBQbyYq{P+kPE#^R|wJmzS5J#0$V?<>bihSGOg}
z4_F9Rz2F4_RWbxPt9^41A8s@6d~*e*?j^mK0S!|wKP=y@4%zkmGDzT$ni1iUmLb$c
zOWgD|xuX(maR}vsP4Jc$G^DL^x$39
z{D^3vihSqAmAnaDDMiRh6zF7Sy|Kfeo*WO5FX3fh=z)6{v<{Wqzj~3JEZ3kCxmlNG
z@7?+%aMenthlfX1!jJxrE>HMaPJN@~*ekG;;KDUP8S!js$vKBpm;VB+#a#2HN0)QFTIYQ&8{5DX7Ia*NK+>SD
z**LY;GTdclq~yARv%|snYVe>NLd3=SZg>t28D(6%eI@W#K~0T3E+#3|zH(?NO2kh7
z?%liS8j-VS@04e}lhV8o?5PphE(9s%hhK7+($vTleM0CLHG-8RDf{#a>*_9_P)$Ei
z5WTjMyLH?)XSVyWZIKmmK+cb|Wph$mwR&ldfW}Q>9v+^nYHB9KJ9n)Q-EESy%fa^o
zu%4a^lQoN7H9@3u
zaGaJy<>{L@f)JoWnVnu?PO*!NYc&|{9_sGa^4l-b&>FMF)6-K+E}2EX=n8}wF{fEX
z*tsYtH`98PgFG@K!mK$nMb`(nwh;4x?c$L8K773UC@Tm
z4ws*hL7J>gh<*S5>}$Vs5wCLK_8dtmsl>uUO?YPmxknJ+7)9+bYrD?Bz~=6KIJ-5C
zc!>F($yJI?I);ob;Wbb@k9X!a8vc6dyTen14%=2Ci6Fb~7_wor0Of;o(7fPx<3G4z
zWMo9a)wL+M@Xec6-LG8i>=#ibjjC;B`Z4CtgNmpRHeKSXH@?6-gGmiCtpg7+2=rHO-AezN2)`#>Ind&33ENY>
zS6vy0!wry-)7$%!5<};))4LfNlfgIyjM**;+kbxw0x;(Mt`t~bFJ8PDMqU&^F*LB=
z+4uDTIXO9Ui&$A+Y=WHz;TBPO(VdK-0S(<}<4UpiLPfpS!tt*Zd*#xcl}pX>DAaWm
zXB>{nb(58KNccPP#UBgmI|9vT2Sc{P(oT71w=qe
z=?0~{n=>ZM{eJHk=Q`KBJv_3lVZz~AuC=Is&>_>1(ZjG7IC(0Zf)5(NHPe2gIU2v*{j
zieuDFzgy6~)&Bkc&bqlLx$7nAlE#ymQ|Bjixx#3TO_P<$uV~U!W;l8`GQUts&EUT;
zq-2`kA$xaiiTb@vzKU5ZIcj2~dB{V|!
z5+N)NL`Y;#LfeGQx(Gs|6E#E$~KidCW}L@-v2_$EIE
zauCZf>=AjwKq5(;32e}TNFc;rwPy*LzW823keXL89CQi}9)5a+8(O&#JNQ2?ReRi%
zAw35-djI#0N`#01msXxb6Wh>)CE7F>g>Q9%9U(nEZviA@^mz*L`4sGSOboSi|$
z2K~TtUq=w!h!jHn=Gk@bO1c8F|GpFEz@|l(9hu^#~
zr&+j6NMCt8UWs+>4a{yp29XSO0(L{(!ZkvYPu}pEVN3qfA03!*7Ab__2`uo;qiH0>
zhmQ67))8nMX5!5=1b-`TiL3HBaT%@<=HiLZUSrYX^laf^N8GI!Jdf)s+dDee-mp*}tqJ#7_;Q5z(O2Tl-968&^I}{Wbd3hceI@i*
zJdx6m>vp&(;lf<@JFq|D4>L1!cI}L+l9}~&QHzFf4(I8NLLQs3A5rYREiLhu?#q!q
zdB&ll%Ws<|`W*(_@2hGh2a0a74)26NPAezRG_78c`2<+BSzZY^BaT>}J`
z4Zp>k;f|yviN}v0U*Y0Xm6Y`Q@Zp2Xy?cqp#e%#%JgM2)cVE4FWnyHcq@@-8;p4~q
zYHDd1`k<#z36#FmoW!YXXtekBrDH=cPnIq>Hq_-r@|m~d2#E4rH?8GkMYZmPv$y<8
zyO*z5F5iou_?RXz~=*2DgA}v4vzW2$C
z9m7@LHmiKkqMoi$W3nptiVMtp-}hRS$Uno-8#eIq@EFYxl!?R$JsrZq?1dhd&NXc6
z$nw}VHShX#>&BBGO7imZ>a#D@&JhqJIR2G#a-P^}%&@PvKFglEP@Q`eMVZaR`B){^
zU!&`LJtrtn*Am9*a;Lh?6-gULS^Wbp*SdJ-<@pRkx%~S{eN`smC+J(980z@Y;_=N61nO
z3OXLty&XK*l6iVHM>Dj`1QS0^IaF*%^H~l=J?&YUY~yv`*${17CwoDW+~g_g<#qZt
zf|P=vn23#5Vkwtv!0sLrdK<-ZlU9^KJJ=5S)!m&|GFN=(_CLp4e%FOA7o;=24i7gO
zs(fb5al^QkNn~fCs;AT`m$PDLDKDZ)VrA_)?8n{43;hIZ1E(%;(-uLMzNplF
zjgqJs*X#XsVM@R$otDho=K2=Nf?qmOT)t`N)WUF;dak5GVF_)irGs%P0B#yxHb
zH*WuMUp>bFtKOjFJej;zuUa1Rv}fqc3%i-F>?EOwLJ5z8wd$l!T`Oi4THM#!>4%`C
zO^jLa+gSEfiC0*$;!OHr!0I_YEkP7#lv-mY+LCi#Sqgmp
zpIF_a?N6QSJ}rVV2s?uY9E8N{idtOgj8$eAshwZ)7Jd0Ea8dC}-)lM$ui9*X%zB|!
z^1GOyId2y>UDfl9g6B$?6*4r7ln3|L3Td@GuG?EMpL^`^`AM%d=4!pe8e}@Ez`;|k6?)6ZG-dw}Lvz(gX
z53Xcr6gIXz&TaqoE9usY!;?Sx2Y-cgXwc|*6eI|72?=GWTx9p98^6viOL;VTtB||`
z8@F=|K`J$UzeXACk1bIP-fiJhyVoyqS+(;Q8($d_JtA_GkB~KZB7i%TR*$ctM{7Sp
z(m&5}Q7=O+_cBXXFc*aV3|payXLpM`x%~>n_J|rRaA8*$=L^Y+t{{l+MMm6@C;Z=i
z_xU?_s~f*>xzesXp8y!3u0Rwg&hNZpbm9V^T#3WHeF>Y>YpiaV39D(rZS@t-6Vj{+iQO!ty+^T$qYV5a-ieM`WkDf?&
znclq8u2mVNUVPhT*$qR#N@EwsE;F_J`Qh9<I3ap3v2EbcD)(Y;_kYI2mVI=Hojllf7A!-lKqiF4clC}C4od7m6#S!Hif*4Nip
z&>?yn(!z*Sdf3V#@1JvHr!(!+mu}b4Aa()S6_=cG0tDlHj=)wtXXu+kTxg)_C{u{Z
zFZ&PUx|bpHr=3FLCmwHIie;z&>-m|$XWR*vsSdXMG;%WPdeK<$uR_<1ib~cN9t4pa
z@j_VdK5Wxb3N?DCF%$6ai3C{`Ihl7`dFVCWqlEP5u6Fw*hJ=JXM1FO2yblNn5M559
z9y1$XmwW8|WyZ0NFhNDE?m2VZ8>~&cD-)cyB{59>X>64GYEX<>US8^V(ueK
z5`{sCSM6VC2A
zIlq}25<=15*_jfR64b@9{G^)mDIr)C4FP%cooiuU0(O{)pS*{x?S`Tnh!$1i@6Hd-
z{s^6MK)B^|7MR=f_Qn(o0?c~V)Zg`14VuY*B(=cJSY0xrzez|R7okUjiyHY&@V-BY
zb?a7ClTw<)1sjf*?}>7BhSzCvMb1YqcMBV?Tg3-NWj830gf{x9tX1K*VKe@Qf3*`X
zQqp`+W}))n61u%RE2qfA5#b#B@K0oP5Np53jp)us+rl@LYYaAvyG$(w=Ho?jW7xB;
zD}~xzviv?+o{abJrNDUv%Sap{qw)DkRO#}c_a14bIakcpc}Y|7@sY{Bfo&_%Gi}&M
z9`ScC2hQ%%c}SPFwkqFOQAyIg+%~=)Iaa;%wmvB^NgXzfZOr_xreH;HboiY9O1lo5
znMYg5Azt4xs}E($>-$$@=MO+)9l*FUa^x*zY+~tkwyf_4&N;?jACwe6-??+g#$AiN
zk}XYY_~xpnN1(sFYYFKy1VzRnqefIdp@BlUFLD;K0?8V(A;xvGIZoRyobCGb5!X4i
ze!SOgZ4^%XN}Ys4P89sZ8j*XOKCk@fw@KV;A!Fd6zOoLB32;R=L{LbmePAHQc28w`
z%5u+ktnSI4Tyh)BR%EAdPLW*wW^43=m%RizZ9)j)kooY_hoZ6Y)(J0!#OF3bOc|pY
z{ds$LuWK|jlM_%$ZO4hYPhd|^e8D`e9RsGHSx6*cXi)UNzz0Zso0W)&Lf;e_;U+E%!0#-#HB;a&I*EoR3HG*uPiM)QPwpcN2hoF1*w?n-{SXxI~PgEA&6EjEK?0
zM`YnJydPi%M$ha7CTin__(7xpeG%=3&8IS=F#z#D#1UeqZyiWAGziUJf-9#_JcETl
z-9?QPXnFBfh6(OKaMIB37z_qdj((zxF#99bM*z7%hI9I{E=I?U6hlKu51}2+Y@Fcn
z@-7NoV2uYiWI>hNpGkOh$)H!l&?~sLvR2?cbUqS#y9}>&%VtI{j*{sD4mwRhu1g2|
zfUAIbNPqE&XBdtE8RBRm_ks0;IMl3~)_VdudWczflXq_O2#rQ()ZJcMjR>ZULEeHv
zrvio2Z!Mh?d)Ys$8p1ue2U}LP_UrBkWHy}$mhtSpMRXWOx21On5tTXs_%$T>c{=D3
zz;UGVxaUD$wF2GbM|%+V0zrnfTnmWMk%xH@_QSve??SqUbFgCJt`vssQ6&2eaxoEI
zti-*8r5J-oob|3EqTlLZJ_aNqErJ!D@XbIr&Y}4#n(7{mk)?oeNWbO9m%kHSi%#&r
z&z`-A5G;t+ixQyAeQ-60fo4_kLvnJ>>}7f)$P*wL2%$XcWxFtRD?&r1@0-XzPJjB{
z4U-c6>FYJoMEkAt!h_pJdHPunyDX|V3o>0lWM)2~Cl6wx6?J_G)B$H9$*0;nxAY59
zeOW2F`)R4EO84)-W%d5W0YNfa`x$v(gU{6VhW~NiXaD
zzNmW^>_Kj^cI_qM^GPrSD+Uq-*NNtfdc@?YKcxpFMHU3nyWnvJFjWb3)wJQQZ`k&_
zMECCKR7#i;;9%k8s_jp{fsM!w=JS+L1NpBDaq&5%x?h4=&1Qf4nR*}*&&^?N>lWO$*lL~F^xF5<#=(`w1LF*_~$LH(ZX*!56F
z>m?D3XvbIj(}Y0~{)dPQ5KP!}7&W2|*>6lvH`C)liDLdbPr1r5cE&%;$Y11PZk40SlqJxNVp*fegl*)wN<+Ip_>nMXG7;JPUFY*(?|qjAeICYF7!VcKbjSNXhy9lo7i?<_Zu
zEaw`NEmh9#7m?1anZ`YY)Cfd|AyWiRAuusgC(VP3+#LestoNl-e8VcEYEaZg`A5de<>
zO~*5$BYhSD=CJ;iEvrAz=l8d)ekm6^vImvl+K1?N`Wrz}Q0<=#i!ajtLPk{2v)^~?%
zK5z~7dtiQy&Oa0p;?vNnya^I|seQPH3`n0pCnpu?-GX0K8)(B|#qnH2PWnUS@7w^d
zz)j0}2xGqIqg
z-!s8xys|=|AQK&BwjF_t`EF*mlgCfJ!P??QexmF7_`zDQ(NyNJ^YZZtw)4=B`v^Z`
z2LKE0J$Xb7Mi}Uwjqh*n-~L{8_ioavgzteegpqT3km7Wyp_33O;98|{%YUw%si`9|X6A+U9U=?cVd#80zbAQ7#oAL;L8I)jp%Yh
z3#q?=T({s(BR0c(AWysp8VUkqEe3~lG(Yyt(qQ_V?%n;d`I89!|I_1iGDJ>_tj67#UJB4?{xsnzCUQy;j7hZ|tBg?IWyPC6CpB4`%ZiX}XHj12)*`
zf3UQ2yJP$nSi#uGYJ%G{xhUxy?L3wCAuB7QY5bnFw70g)EH8&ffn0BadE3_Nv|ab(
zh??-}iHYXI@>P!45fP>%)xOT7ulVzT!9!^jpuyxe1ZQVwoyXo9@|bp{YnDEyJoVS8
ze4j_B!UT5N3JsHuQ?T*{9KitfV`5>^k%SGk1!^t%IL^ex#I}K>aK)*-v{chD)~$f>
z8P0v-#l?vh>5J`AH*NG1aVVz;Ea-%{*iJlqLo1MKt3xkNn$-B6+4^$Qz1h$$Letu}
zBU9@mO6Pvm+5G^;oG6znR>3gbp8){K{TAY1J_FbRxQq|^QF-_vNA%mJLa$KgNNryC
zJFZW;*CWS%%f%Ob47$0=pWEw!tTZ+HMDIP1Zf#vr2pnyw#pw+>A}E~+E(h349dKD{
z8KytpTni}HXzVTD~N^F_^Lg~;NDxGxTTZ~4(
zy%Lc+{Y4n%dm)3k{ehlE_0K~naCQ9kUNd&jG;Meg=iSxLeDhwue*0eYqr`-2SzPY6
zQcg}zGgc6i*XH_r^#@=9s{ff`zV5PSw!76?(eclT3q1PYjspQ@&@W1vVs!D+!Iod*
z>Nbj2`J<))A(VsUDN+3oLwye_+`^-pHn@Bma)Kl*-a)#T-H*hCvWa6vdMQ|H39BRVR^jC
zA?X#XXv;~8`U-R#8ZuD_hqC{++8U{|mzstWn&%et{z7c~?K)TA@LB(s;duB7Q`l#HXNJjr?8n=8eCF!)b_$Vv@~}nQ
z-^)kZwn$Q?#m8TowdYXFk?`0Vy?9z-drGz9!@TRb5NYV2fu?MIt0QRP2EmE=ibokV
z-K3pj67-NgJ7CsgK+305rwmk0^CU8k0V@%Nxh?}VMKJ5KmX
zFsK)pz18;EwTpIJ>qdP{s}nE+rw7(VUZZu6Veg9_V?QJ9HvdGVl)2j3m+KX*Bg7K;#^>I#|dmdnfvYcwm6?Uz(yQBeW*p$sLH7U^oT!8@H{|i~Fg$je>UuHya&j2C=Wh!i>H=KZJJdL56xV
z^PTXd{2eGO#aKJvx#OR~BhnuqGI_bxmoQNxaCD!S;J`U6rH;IKxA#0s^RS?Oxhv<2
z5)18Oq0RcH>rpRp$i%+CN+*h=6|$EJ$t+vz5p7FgWCua}vRmFh_RMzWjTvffLI}%ZKw=9bY@|Y~^8HVOvbEdTS
zwccWAW#cTDc2wKeo!F)nN&mBxjY9Lkz+zWtEj@$`v)W^!W~anz;KHIme&LxMQKD@G
z_6*q>6C*qb=u^6PZ**d7=H=RYD{Hjoh
zQ20&^xXiahu_S4KBXGajys$q!!rzjYm)E#C?w0fNPyT%1=c6iO?j;DNm=Pr!G$r47
z$rE}knVH%+Y^G?#BU*2SBn~3+P**XEGrEeOeg%gYz22z_@pwSz^uVLSeadCgDvRFk
zaO=_Eoju?gm0cq1X*E=J4U_e!j|Ldqm}z}~b&tRAv1z$OxxGzAd;nW*_9ieO_XG}T
z=sNoxrAwkaH+NUs?6zkM$7k!O!yg;BBuJ{4I%apItA$2%+TJdHb~oozTAFy0t-BQF)dvYc%_!6zEcm}bMCO(R3VN>;;wjV_BABoqn+-a)!(LREqu2Mg=Q~rx
zc8#TVJXR)JsQJv^*v}8lPB{Ckg!Y)?&l5CXKi)eLM5rzLr`PN`|
zfvNc-Im_U;KaXJMxmnd@!lrJ*8xRmB5Z|Nx0R%yS+zZAu7ej4TRjQIk6;o5wnN5jj
zcMFE^@-;|xp9of#KLWQ0X|8;}8To<8V6JR^pbch-8JktM_D*!YsHv!rVIE-SHD_-r
z;3d{_(!Rz^R0y4-m(=0!B`1YvF(%-u(3xicW02>cT;1T3wmyVNEjx#kpj|FdPa
zd(vOQ!csv`s6IMW$JC*OR4u!0uS`B|{`$LP3Ui5315|Hxr>jl-EC_R|z2Y7bI`h4}
zJ41lxV7NX&!K4%2+)_IM!h;9M8aW!lMxew*(E=G{C!VflyB5en*;s3U>_P4U!J9~kFN56h2;!<$<1a*?1-_ci4ZiKp3hPK;kdwP#%Dl5T@YiNBG
z{L!gnQ^iGB6!aL%g*HNWJ+vDweM+>`ywN=F(>eRD7^0S
zAq-2bYYsZ2vLSQj+jC*ddrkX0flLr|Z|T>rmEHP^BC_h!ibhQ_B7*KapT7=&f>j9&615>cM;gX?{3<>KYWrd9YYVxWuO)g@!hUN&Cqyx?B~{3s&aa)
zdXe>GvcX^x5C{bSqBYuufQLdFUZZAusJ+(bupc5MKx@a&5c+wXmJG11>lOQM{E;)P
z^Xq0n(+aU4;9X=fArY5w>7NMs7~z}t?kfvbCt0G#3oCZbXBPiN=)|;4Lp{oEIdU+J
zX?M<{qQQt(VRB~X7gR!-uwt8aiXqw+GE)}o;Po%32{8%T&pg!bd1H$1y&Z+91GWNL
zl)FN7m5VE|pKTfz;*O)cEljFR$hVj06BRwS+OVDZmV=@wET__Z`V5fZdp|$FF0GOs
zcMo=96H`+F_|jwpuS71wq|dmyk6su=IZssjBnH6{s#$^gE;}2G*^i;(+GkRb`1#nm
zm$wcQb)13o5zKDCb!nHD%WS?gESTNO#9g#j8@sCsh!86=cO`W&e%`B(-b$gH4
z{y}j+aboxEzC9$31L4p0l?RQPXjjyb?=}Oj1H&55`x@&ibANJp71KmEzit8)_5lka^DPhgp2Obny8JUFNoQ{{7
zvMt};USDTjo-$t;`jTC{$QUK3CzW;BR*ywt1I>lw3O6V&-6M=sbYBVuOccVzp;fFB
zvQkNOQYHjVu)y4zH97aTZh{hIa%+92JJDsnjQ=B_``C?GUlI2aUlxkS)4mdUMlA_p
z)1<_NTaZa`rfr9>XcU;$ebB1;{!;tIL^TOL9@4Ko86ly^7XJy?V6qGRP{*
zzBnjjdN#O@oR0MoDPO9;3TWjlt(d!}vctJtk9~KMmFC;jH?0lSsWcP}AdSejXV?6!
zG~Jn{%6%^EfMkz$7--oXkIh=0?p!a)H2Thr9jy)QTOgBq2sqztXa6Ls=99UU?QzefSu{Il8``45pNBc?l1tM(!rGDlJ%>)PmYT?O{
z@V%num95y{owoyoGG!CHtyyn}u2==QMZF4sety&6--97VI}l-|0YL)wYQgFBTw4%F
zO+m8${ll(Tb(HprL_FVwq)BjXTzz{6fy&#I-_^_@+YyHP*xeaJ6yAn4ptxHQAXcct
zNn*mDBAb-*rPo;o{of)j%hjO&ih^!Szw6WsEwt*b^HQ&7l`4Z9&d(
z;O-l6_?qNOfcD+O0cX>S1{D<*BhVkglhK#u-o(|{%Wm$vzq%-<4RIwF^2v{P6Qypp
zmcww%Hb(q=K3gSTR*XppSp(Y5=f^mkPb&(?Lz4a=IXStYlizAYVt0FRzr)gFTjOW6
zkSf&JRiXBAkfYs+;A{t5UICZd6}+xQl1@@}iKe}^b;SO35C%k3zz#5B
zLE8zm0B0eq2U^9+*hDGZ(Qx{=2OJr3;vv*0cs@Tx(>7**IwU7I@cLtoD{G=IOQy5C
zO)9_F_+A4anohY?9;bw-lW@1e*8xso#)7VH#_G|;0KV*B{_d~=Fvr}4cu=vWKLyC+
z@V0&uj^T+l>6?Dbq?wnLdST>4<_dxAR@Riy*b-g*-jXu93~{{dxy1k?m+Q_vFDvm3
z=?WCJw50<7IfdWt%@+yj9nXtUOK}&Wbwo%t|K5I}r9*IgK%zBFwEU-SD4B94N>`EK
z-P0#V=W^h)vf}^i3N@k@-aaZ!$Z8KEK%A$HrC7wR*m
zegnswpaclt;-DI{aK(b?@(aY4t54_&@UKi_
z6g>JpC!J1*m8j+=LK1^7o#1Sh4j<+MSsr|TV}s{Sad`&;!ZV$?Hm|6kSn5y?Un0+`T0&vy_^1FS@lv0de>;y6
zM8WQgfupvqxBP)$t%Rbj<0+BzF;ujFYaEEs-+QPJ7zLyirh_YirK$~I&A`b?+@^Z
z2!8VIW0fLh4VB{YLH-#8IZ!xqq{bWU^)Gg~A>I|e|9l3iS5`b#RomZyLkbO_C_5K(
zP~Amva$s_%6EzEeYbOTJVO?)?{gd){E>6QrQ9EA~euak?Zvl08Hv117Tp^S5sT?yoqnKoVd)?GRJh
zSTCH%
zs*~V(MDvSbHT>uAhheQe>5eyz;3?`H7(7?}k*eIk6K@8iy)*G;fgNvC1}~uV;wS$x
zteKC)v*YxrX;L_I3xmCbr6TZx-zQww=h}PnP3>yVs2X*Bdh{VRwK?e0ZQDPuRi^+@
z-K&4hZ`MT*7-nhwwW@Yqn^2tsT7b9y3$+UljQb*iQZSSrTi8;fTE{on2V4|^25kXY
z$K$qTYu@+yZgR34W5`p1^v1@egwSeouj%(zbylw=QFbHalCYs~l2{~kfoKjO|{N0MS<5_%?
zXm$#5>V#|oC8)6>?t9CzDNzpFYqLGs`re=j+k@0vY@*bwRy3;impGV$1vc{idQ{Wz@{EafAEkzeh~cdhd;6s$
zepgX5FafBqUg7TcZ9fYb$(M&DT1-jLTzBRY_QgBzr?M+i&ym#6l2x&g37G&6a^6|2
zy|1hs(k_S!ud%J(7u_c$PTTlVa63YU=ts`K$-GD{2f+{WuE|-Aq_1*NqzTAqs53VJ
z%b?Mq!u{~7dbH^(sus@NkRwpbD!w?}1me`y-=T^h@_4poe!t=$2x5wMU8+;dy4vZ(
zHH;<3K?3)TFq0lNSr#
zD^;=)V`{Ea@1+Bk40Lp6jN6*p>({Tl)$Iq%-HIpQN3KA|s%CD^BIQRXWG|;Eyyyut
z!ie2M311NTa6>o48<;N
zi_nlwqof<~E|Ioxxm<^jp%WHu`jia9UML9;9fp7x^8Lcs;ivUSg9pX~&}4XTZ@psL
zmnEk8o}x%H|A6Cd099?D9#yUU;qp*Z)wJ?zyg434Hy-PShBG`9h@@1<-ZOCNWc}Uw
zJ(w|NQ+i^{{G*(ANy|Ek}87q18pz`6ad;7m=t^&8b(20ii2*D7(
z#odDtbZA8rT|e}00XAwv&?G*zI%VWYK@j8sA#zPf@u{2!ojT#~!2^L%=a!cKc64py
z+CM+Kx)t9ptsBOkhF|eDm)e)CA;yv}I>ws_;Qh0LuF{0ouo!ps<(-ElLXU)Ki_ZCqf`Zb+mmRzxWhrBU0cbOGqUR8&hWkGEAZP
z3x;{Ze($W;4qddF#sO_9ZXr-qF}hzOurvJaDlkeo9=y2{(o-@!a|nCm16)xhD?Q~6
zXZHVm#z1pYfnMWy?FBv62vOVySIjd#0AfuCVlV{52@6s4lJ3}lKEo`$Y0-ySz&o`=
z&;qRm~287Y9j2O!d*kd6qJ+U&@O!l8*QsrY%g9d_sL|F$6jvvT7K5#
zV(mqT)EY0}?-Vg#@s{(OqLZ3K^ykl?zySS%WZV`~k&ng2>cA?4J4Bgb6*x=r>H_~1
zFbyfa@;~8Bm*Y{q#aOeIdy;s;`5=@xf6WA~er{TU!y;(KC?wB)cdN93V-PkA+ae=Q
zW()whv@ZgsLyS0{AJI%`jr%;)Tc{YqqvDj9~{UcVkL|dLtyu8u)9mYJ=Z*)v5fjHgq$N78!XOjj$b3S0RMIorJy&VUdG2C{`t^Ks%PtYF-=0Tz0tIHiNlZ)M@A={ic+~C(FLl+`FF6ia-+vY^Cc8z
zWtA@Zq2B`yJPqf6+9E1;{=DS+YP-L?J`Hu(FecP0?!A}83Jd}|L92Eevl5T|0}wrL
z)T`2~3JkJxf-g@54kdO1o=*Pfu!Q3&^2OV8CHJ)lY$hCFvjdh%FC28&cyahd
zYZ%)-6%CDE{TRs0TxO44bX7WiSTkiBX}>BWs|
z7SZ_eSPyNuw;3vLnII7;t6gbR6w|uEXZAG3$|)>Vy9CIWvega^U_YN!EYpcNs|*6`
zc!tdTfWSbD>nPB?|M7t_K&μxnO-S+&<`X=%5BHco@=eey=^=F0)MbuBF*v9|zy
zP?Y}z;u=fK&Kpg_qu;l0KT1FkF90L^|Ki*h&{4p*B?GU5mR>M`*0wg=dtXay*8a3j<6=y2PtS+3u_q|f1fEg5Vp$A0
zUMM39jz`(>ILv7RSqqHKJ%yW+Vtb2$0DTf7bli)iKj#{^T}IVK4G~^7y<15!lSuPfK@zEx@x47&-$T
z)hM>_itSJIOMpVd{h#l6Kh|zF!6o3$8Hc|Io??`mfNk)Am9q8Qs|z=rby!{d2vDnK
zb#GBhsb~>oiM9=a+Hc&}mNR-v4g4pdCZMCBwsD1n<0oquFwH71E+sI)O#Rw`N!VP1
zt{b1w{Q}IQDF|3lu?sM3VWSnqL+sL71S?z9S*B1+MbSPb3Gr6+J``U}z+*|yKw0c`
z;|*9G^PW7cMxjOfOm{9b76`AN5(mq`O)?q*R5p`z0eHsTRRCY=V3o~qFbt0Jg*Iy3
zJ{5NWV_4;UGvhok3aeGCLW5(RkDiF+ES_M1V~kxEroTSi|Ck4~qh}jh!$gLcN+NJ@+
zUea|cmd_Z`RjP><_o!oOF+}tZ|GVPBnM=E8cd2C>VW#kSygG3E2xuL6pAJ>#
zY1_0WVVxmI%l~|@+8dnpffm4N`H7bM<{x7&kF{^J~0jU7yS%
zsh5+v+^{D_R)T;`eJ|p&R-Jhx?CPYZEBjtmW#f@sP;f7%dUS`9nweVdmrL=5gRtKX
z>B6M!+22W9{GD!BqZ?$O_8osy1xMm)BTTxZwRLp3Dh9JaZiANJwpLQa`VC{Cpo0w&
zg#(j9ZAx}W4*8$uXoY~52KGM%Mau&H>Ba}HaeAsA1b6uc=?o~Su{pds-zQt74s=YA
z%3oKV$9=PS6KZNNy?8_X2*%_8d_pd>$+jT}Wk*EzHb$LivTL_A!!|*!jcUlCq|jrf
z44wil!152e-h&c^m2LlKxP`UlIuS=?FW-9?kwlQM+)b!$Sw92x8-iR172nczS)!ug
zE7jOlP0=K3Ez2o8VS?X*`iwXVUw5PTTMGa!-}71Yr9uL43Tg_p#Jl5Op{}mJl6Y}f
z21>1{mINrA5y#%M9O_9m{#2&mh66H7ngQ^-OPj5R&joeJRh+8h5%8l+mAtR2S}V#u
z>nROR_%1PK&Tntl<)UhjTNIc5izvOa^2^A4oiSn{4JVb|H>xh0ERNKme0^-NIC`=Z
zjs-@Ac0y3jLyL5f`i~pzYKLHrnAkEtu|}Sp8)yiNi0IYkQ&TcncL3YvXbH6?jQde@
zv2#_lF?ZQTw7W>|Rs!Y-;`eGAicHb&Ta&1-L&pcfP7RJPHG_zN7iyJ|a<>GRcrfez
zM*?w;WxCea|60lgy5t+0{Jrrdi$|#6uH$oIUaDT!xtf=xwd
zqPojGk;E?qAk=-c<{Pf>Ye5v)x4h{}&8>?&IQj5!ur2*`ym
z?ZvUQS>mEL)>wOoTfLqxz}c2b3fhw^d+BT9x~H4wjDD*$5&V1amY9Y6i{I6zz30oL
zvou~4BD#J(J?hy0*sA1Y7P8>!>FHyf>An#kG)pV2tuv)bkS74uSp*=DP%?0?4Ds--O+4G;>+97p93AioW&4NrmW-jNU`LNJ_Y&(}fhJ_VwIHozMz
zX^L*L@M8i{lLItVJdxnP0*n=i7>cJkL1MwIrMOe+DX!9$L1YGpPH_7bWhH@`A4-=G
z?Flgjk!v41b(f|nj#h9==2TXGIj-hG&6H8Tok63N(?Cu9)!Fqz{e-;UdlJ0Q;fy^mY`(3=C-wR4$fE0
zz2jkn5_A2-e3Scn11U#wsc`TViF*hv-EY8XEU3qqmZ*k<#m;@}AVc;6woDR!d!Q65
z`q>6`Ap%gy9Dx#^BM&d{>%<}v3MAOMy@2o>qNE1zVPH_#&=>`H8UR_1(B9nq9w%hU
zze=~EWO@Z86ETjUT+;{suBD^nEXW#s0JTZDxw)mQ=U+jOv0pDNzuHh4>U@83Vcn7l&80V>ua%I9
zf?sv8g1{V}wCklzC^dzaP$+w!oxU}#kEmpU>ZlqtqKph9ofUg_$1m`u_qyr0F4k=L
zS8VvNWkH6f2MW<_-7n8A0&hZgHVX0&PVE=lSVUq9Y!#;m3QU?PSOVvC_L~dyUm*1B
zgCrVl-f^WxT7P$IH5)23=tBO8x_JZqf}a4S0~B|a*%5|SlpLvf!sdv3Q42rkafEV3
z5q=tFtSR;)Bv)K|AN`tWFi9~`r(s8iX53gW$8tm$Gy3+xs
zu>!S#avE>-7S(S(eu#RjZx`1
z&98YaZuAfaQ6c)*#>}?PASw_~(w-dRM&c-;i%RCin51`SDiIu<3;aKQQm-X@3yH_U
zEv9tMEIIguNqY>nnvE~qi|OKG4Bz-KYkpTXq*Y0a!Ny+K@evagrOas$z(Ky
z9JH960pG|3Y7TCCl(ISC|?b&BZ2h{
zxporXA%RGks6kfB%8ZWTzdu!e(eKWAe9ho{5S`rUL**^vF9<|hYB2N38i`1vP&
zAbQBQ94xicpqQXp=K+Y8>jB{@^@FV>08vou=IlJU`Qt`Y^?AdnQ-C{Wdt;#L
z;0T+0bgkDiP-lOuv!%INDQ|7f84&ktdB&=b?$k{46&P3#dJu<1>3$
z3P(n)P;K2Yu2OO!`Xz>h>Tg4GWeNty8Q(}l^0#>%Pi%PSn!bf(7maLgipX+l+3`TzGy<{0JMbu@87?7oXzjls|#Va0;N$6
zu)d2%CMHuk`;dHtlX#;aFu4{5=O280eBfR`PEyM=+{z7*mBod@;mv%uG1-vzC%;nf
zT7itE8hpDRh|sPXHOF=3o2r6`V<=zn;;M$6c?1-JfpAnOsmRDwjV^~>Vi#At!la9)Ix;#8YcN0!dTQ>Q>JG@rK%QpCWm
ztt}rPpww><=zFZ?#!6PlhQG+71eX<7X8^tggN04)(WYE39NPLm(X~CX0{rBg=z#!tbyncMr9i|#rXI*!fBUL6lToy
zm+-?;k2d3_30d$%vZx=Bl}Cu5K7}86^FMU#Y&F#0&H=DB%@Q~->gwnUm^J`i02Fti
z5qX(T%%bn}L(p|fNbIzU?cU?z;gPr;>MORLE9MXB{x?#VC~~N#Tphnte+LF};I?=P
z$YBJi{t+~}8=%m<0OEhCmrx>r)Nll<;jcbs7GH^R9PxF8(p^G){C17ulb`R-Se7nI
z?eq`sYRN?jTtjb#LWnQKPZn**VXt%0z4JPE-5(GzzDBd;`b&{N?cceO{=UVA6rkSnB|g)pOxKiI;rx4h~;_5
zJVKxG5@C3ax`aQv%-qNaFT_XXI{Xd;E9ha6c5#>xG)h~eaf{=BYc^~ecYc=$@1;yG
z!Fy2Sxd~w)6;8A(vxL^=IaH!W!esC^aq18=XisB^kk@dInf|BA)qZ5+Dnav?WN^q?
z+rKKhl>P}{X&O6kS2lM89P)W}WkIZkM@a8stkT51%%#p8rpO{)Y}U50Rn-}%!f8`P
zi37TBmyUp&L}@#;>%ZU!+7MRM529V4LIaXD6iyGi9)Ql6=D#zB9`aR!W10BJ(BkSJ
z0RH$+GV3B3IKYV?1$tULjshNQPb(_A38|BEb1jreaXJ)NeI=z~(a1zSBhm_cAc3k$WPpDGPY9e9U
zKvDz}{4~ufI}1NTX1RYB)XY~UPy0hTDlPOFE+i-pN&szqewVh!@}3chYL<%oU!;>32XM+Isz3`
zK3#AIYHbv9K!4CbTvren_LSu}#DGos0kVPgGy*~fF9SpQ-fGr*G4*da&Z57yGI9N~cHn$J5m+E4>>4da2
zHaLHn{}6tCDhedpi;ICC!r+u;`}?#>p-%y!CMYUG;#9)9bm&f9)Nl2>}7VV1z?!6fkbI4`>?E(EfiF_vP_aZg2Y!iYA>*B@u}-6i1Un
zI8vd^l?FqHCS}N+OuNphcIHGXiAXeYl**8ylOZ~ls3UV3GLsTAzSq6$d*1K+zQ51!
z^ZWhv`iE`r{XA=}XRUkP*L7d_y}F%t@m}3V6NZToIJ_gzq+`kTGOfukT7W+m`6F)^
z4#liIXcX-TU2bTWTN|_mE1RB5P8?lklc#|+L}6%3mGt+_B&WRM`(tNVSFgYYA?HR(
zGRL#0vp9cYorFs1R
z(GP#J*_j_NA4z!Vxwpu?GT9gy0D#IzyKTOl?B44JvIYfLGd~0-#2&#EI@PoG?jhq#
zJ27X3Gi)j|iUl8C&w$_8%ANQ?*e$_
zw3h1B2G*BOZvp=u(BDBH4l*
z{wR3Ts^0j`=(|gk+xuT3$Z&G!DG*^LpIe{X)ntsfO5kxiiTiY?C)po8fh}2K2OfPH
zZ33U(WqTYU@F*<}NnaB}L*?D{q&?1Vt%lDX5cTNUoP2xno#p3PqPlg1})
zU0q*nejx~`3}jFKz#aYdeg3L1fiOg&PDae35d6Uc3oDQ98vTVr{kYzPSF#rRn=pgP
z!*eC@qLG^Q@iINF5%<3k!?T?j`$qeo;DcLhVV}0U#wsEB&%)-#6}|&jQPzTc307O#
z#(W;uVLboUWFVsu2VouFJ6p;uQEUg}({x%f&@PI>0SjQZEBa+cL{NRPG)AaT79~<9ZC2PftX5rgBi~?Z=^4i6yk#uJheyr0?tI5oF
zM0Qc796d!m4GM0jVBcr#0RcGgM!^Vj_LtLm!cxKW}g}9X-u67L;dWhw8)ZpYy8P2^$$lPxuuQ)@9IXC0uBp0KAt&#KD
zsfy?xqdh6IfBrC-^kH(gkD<(Bb5gW*AVklKkOJEwb=n2ga`9i6R@x!CvVLLQivxCG
zcl)2)OsrVr@NN!b=b=w$t1qJ{(?uA7trvg3X48`mEZ+>p0v00R3K`q;Uiknis;Ll_
z)5gAR*S+gDuQu8fI^Grm$a&q$lsi83mo1wK!b8Pg0!pQcc6D*jcfVQ<+S}WoMG~3{
zc-nXNqxegJ<2w-WryIcYRa>721VlW|*x;l55M+24;2fL#_22=p?TOBf}k%`p}&9Q`zaKIgi>v)
zO~{^NlcB0YSUVG<#hkGxmWX3J)McuOiHS7@jHgYC5UY~-@ZlP$D{^Z%0wJ84UFF`~Fps{6|Jt$1BmCmyzbaHl2cfuduj
zk$}9cmXuxJbbc9qz_CspaW7VOD%Ag8_$gQJ3N!82o)VMf=8_X9!WL9s-(@QOoUAYg
zrs>(@u;4`-PLmgh9gB9CvFG_?TV{!^l0!^nu5;eE1JQQyn&V)}kue|{@GUxEK6QBO
z5+OLmf#gxU)VY)Z7J<&J3EPGKz`8GiT;=b~_a|pIeT;DqUFY_(5CM-%kNo0B>)POU
zBg-ZT;TGX$S@Q!*8H~2J|4!@!Q1*;HodKb+Oge?QY1;skEzhSOWp(
zVrg4UT<7)jg$Zm?G4wT}ut&LWnnw!$aWw-!VPoq$QxetIUnt#Yiw!c}v!~|R*S8k5
z6I+D_d^k1!^sg|jiQz%VGvcm#4h@g9D*bC8Ifr3Hw+@9?>_dc>GFI{p-CR=SDV
zf4}+|z(^ATYpjZ5#PB1AqMHMdn>PQ_R?cHR1{rV7Qd=hnhhS_7YY7mQh`Vj|k>9CX
z2$oYcXr6K?i6YLy8UPHq)H*&YLZViKqYw0%&1H&d!R+xbv(G7UjFk*?^3T>kV=y|R
zEB5KVsj7MuZ4)A@BE2a@?Cs4lg+{$t%jr8x&Z+r*t5-joVT3A!c$Vr70h8l|V#yhS
zlA`_?)J=E>5(FlXL7CEwr^+raE(Tl0
zDe^@~tZB3xh0b6M+#w%|;EMELdgZ%h_PUmE&HQ3;vV}t3PX59VCK*|o0U
zN2igXfPo<6^2c-46-yhZl=|@>9%(8NSXUqNcfUW^XT{^w-<{ZU)4BSdtTo)dwGb$O
zR(i59J)m?55)zNN=n8}F<5&wM-gN7BYM^@G
zL^N$YBVvM5lgwEEq_Bv#5Ds8|@*ckG-(i`yVkoHFqLGoDA8eHHE$&%7(_
z+UGMv{;6PRL4n9><}z%A24pJ&=~~lBjAM%!TsoN0ow>(7>ikE0u>LALF4~MW%_CG>
zOkkeM3=k!SO(QWqT?P5=BCz*fs6x6j9S)i(80WU)s=q&44dyOI8jR-{gv&nUihO(-
zTie#mr=V(IeWLM9Z%dBc!pxq6l3VA9hfLakf7gef&PFO{cF4bxZ++#m=!8+pkV<5g
za_z!f?m{W?5r*7W=H^11B|Nr`J=Gf9FgD&e>4(7Yq8(}05-ShBbZAVzdGn@U$KWLL
z(!7%O{N(A`!`7{QdnmMl+&Tw6FGYSEZ5CFJ1ln&`a
zajI3$afyZ1(KDTte(ns?(Mia#I_B1Re^rJElVX&`=uOj=|0?`3(#_q-$SZ0_eQpU8
zal7RKAl4FA$69}1+F+T`ctI3^v)o))icu#imCp!bPT*g&H&3EC#p0|eV+)xA6~H7}KJ
zg3d6I%?34>oigt=u~LwzH^J<1gvE#2mPa|PSpeG6YDsmk(YoHX?!KXUc^7)Q6MX~z
z03g*CoW`nHZnM)|k8PeRV6(nnceNUy+-WX8ZHlavEc97Mv?W*{XPb`OaOoS6@krad
z9aLy!;fZKXwu6$OoY-|D!kixW7Y{=|Ek>XcXp2k{G|nq16&=tK-n@GG4bO1wCt{a#lUq@;Z?)}8z+rSnMd#
z{#d}e5q>n;a%81}wT+0}88nu7Rn%}PhWUHfqes#C@5uz6
zJf)#4n;GrT(^$MW>?HqqG-qjJRqMpnA=zg)-)LN7{8ZjE?d2PO3PF`+MIxhj-alYS
zv@UT_qN+}oggIPl?30T&qy9(A-4~PF2n?d~LlFdX^RcrXDm7Bv6ybas%C(b`2s
zYz>#6(Ogx2;A0fVNzvw;LEX`({IcsNpCsfbI?TwmLols!;>*hLRtt4c@ev{E)|tO&
z&kW42P2IpS9UedPY4h=_)K6Vi@7VY1S)XmkmZK}fy%o74l+JtXSG=WT!IgLvFjfW1
zQc!rgK3)jgC0Bh)c~qisGx=!BqfaSX5)p(P{0ciVG#(N!lRaPRo^yG%jOnf&T)&-o
zraFBZ*g6o$j`n2$pH)C*;ld-*%=JqQ
zTlYQ!tl`3NKEe-hO9>+U$4DVN0`F}v(98I3HKVq_wLZ$}Pu42KBi$ZxBl8xNl?zrJ
z0_d_Hnh(%5Yq|cJzpIyS&z`=$^p$9R>4E#_I7ILDPyub3%Y^jwT~)8s1rZU`Ro}T8
zkgOD(oz&ea+A_OK1hhfd#8>>qGevthnwAkNp(wkT(T*S(i87OCDU75iI4;0c7%;jC
z#LGlbqJzCGBmJ5nr#^v7y43eu(S4$DpXX7m=|ILZ9Ax|;%840}sY+LSSC)S@W<1Gy
zXdU{r|Il>49IzOQ^-~0?JD|*mUKz{!ThAP~7EUN1oOjO#bY|z|{s_1xdWyjK%V-oU
zegNFF`=_FB_CIb|c#lSL75YN$wB@vOD+Zr}S<9$H747F4!svoq(E4!7l_QjVHi^22
zBnM81(m5SMMM9~&90v2{6HD$jZcic_ye{t;@r*PB|8jEhc0l^IJ8cQ~0cVca9|Q}#
zBIEZH3N4fOOrnOhl!x5rei;=xH_>>WFWP!Lf{LdJ&aU8Q7gESa2I&*5420Ep;{L4b
zU?w?D>e{PBF|Jh!_))86i4dQFItp){%|9^ibi_z$)u5FyzRro@lsenL0n)9km
zx10m$bvZ+^jlN9p5$CO^Kt0^Hr-N5p)1cs){pG(eK685uRyM;;wi;AJloR*&(t-J0#Qj)TJBmX1<
zHN!1d&}&`>S-g!tFAd&lB&Jpv%4Kn;&hPi+T0G{CPUeJvkyzF^Y3uJC$05&xCTMUs
zfrHS?68!nYPe0}c4M?k+Ir7`TkNzf1h|MT!84gaHsQ|6qw3CKw1%xJgG}3l7$4cws
zzc-gyW~ovb1Ww~QuR2`)I2;QIau-h55W|;pMAyE*OIGwgUk-XDz>}gdp!tcOkua^f1UX6%%bnO&W;w*H`aP
z6rE0pRqP>x&_MNsCON7oCl0CrTXokB5%J%FS%W3iA6C3zot)35+e9TyWMa?8bLk;y
zeU@r%VnX4OO=Ia@3BAp_G)0WjlUBXSaNZ``JlvgD#=kxsVT2FY(1$_QeB%2tk6;yD
zTw~?FOfrlOWzuOe^3ssrcv!*D3Jqp%&3^S_!YnDqBxuUL`X{U)39^yM6R}2domNg
z1`m&Pf!9wEB}4b6o`XHW46&euSl=%KVST~^wZ9@Y1^I13%KyS?Gx
zx%%o=che8G8RWp)g0tX~$MSxcrqa{6vfU6+b?Xvpng|#`NCFueAkL-FMksPo%At%^
z?*Yy<21_TGH9PV()^0^d8WWCCy5I(yZA+G%Z7O7A@-+mC-U*UvKS
z!a3A@vaXyD(ir^n7FCWV>&)1j(VE67PI@^@oiY^~@QPQ$-{&|RDhTL;6L
z7x;)?uw{upb%^t<$yBwd8BwWJ&e$5R*wyzi=rF|P;58M1EJW2k9l(7cyy@9nx9h{)
zUp&+~dz(%tF^Vuk;Xjj0uVPoMtE&r7pCmkgF6S=0+3X{#M;eSN!~)vWJjK9B3lLw3
zEp!^|I{3nA#Ew>MiknK~d2X6S-(|8;71Hy#LEC9pz(`G@j=@@eH&Ucdr!~&lW9G$eN2Q_8VM5i5wN214R5tS{no(TgJxPw8Buutq@0G*w$sbaNO#pn*C?jcK`8o
zq>l1d)-Mbg>u0lxt3aWkb>2fhU`U#Y2p~Q!LUzl@n8vJN!Jp$JE$vulh{%V}1+l5d
zyIkTf;uA#a5CJ_wcyQAPv}D?v~y~X0bn_8(F!7(jv-Sh;o+e1i+U)l39tL3
z2vacuFWmGjV6mrK9=Zk{8|*Lqep3oRdHR$YgYL
zUfLqVKtTqXX-X);H*e|HW46Kg8Z_Th2@hr~N3j}wK8h)@8+<#@bDh}`W7<6o$;HdJ$@eHdrJ
zRCHVvQQT2@QN^w)Zt`2);`612Q|DREp%RHrsE8L#QGBbK&snehlt`OKkDv)DJt5aN
zoSECa-yGt5M(V}AYKPGngZMGmYleAyOHw3;&qpZp*q|~RNlqwRhg4rmVOpS05gbI0
zd$##-<$0PwVD~CIqKA;z6+}_Wo&c8m2oRSr^~6WM8cD(5xE@OfzEHqQh9@0AJcHlO
zK%_GRG-d!a5k@v%b($b$6SPz#4N7_9FI>1lqC`CGl*G`^ft|43(70o}q{(^mmG`qn
zXA1F9)g5cWQGvOATx&D2MJY>$Qo{=G?SI~ch-EOvkXrYf=wwZ<#Fm$|H*%55;jAO5
zo{=5x9BE|i)*Y$i{Hsw(+Dt#g@FlV{S?E33&~>OpCyEK;QYss*yJ5qIWIq5hP8^NR
ze)^M^28AO4&rK-&M#?CfSC&VgOjUtgz^KFuk^&dByhNo$Tu2f_U<<{?|ADxKe7yt;
zz2+dBG249WDqP4GtfRLiE;+eF)j~tLr?YMrFA;LXI6v7)Ji@J@Ibu+mdE%
zIWCq|8E3+GYnLfcJk?orLEirZ96X~-5{JBRFPw`r>?^ao^C7HZvpGz6YgrWJxn3Ds
zf4_Mnj6iBy6T+$6Il_$mZ!!7y0S?GTS8;B5oQaiD8`qW)q!ftysQD#>u^@-~QK_gf
zP(-l_8E0F?U7s!T^ADLhPbru~{B@)74BOeac|niOK|IQNvA%JVnLT?Gk$a|>LxP6n
zMIp17-RuOnwm<%SpP!kr4bLgXk!kTf(PoXXLJ+trsX`O<^Y&LkyvAyV`p
zjwz!^4y`9dNd&;D9|XC&*aan#iZ?@NGiZm}P2D7(BuUt&Q1STy;waCAFp>)@yA>f?
zFrRp2WQ68TOUv|;ICxQcoACz|ugM#`O0>k4-g9;qy~{kmUFp@i;%XRNw})+R*yk)&
z8YspfhfRK=-@t43JIN`OtJfoIfhwY*WEP<#sTq3Z*8s_E@)cKuv9QU0ts2SOX=!1w
zl1l+ZC1}0ay-wKJkNET-Zp}xId{G*0I1gol`UL31^~7Cr>I?TL$9nF5R3Z*Li(rgK
z{K(t735k5;+zxpugX4$xIn9oLV|kEec3)T{DN;G3qo>iVb7yP$o(CH$8hi?#r0#QL
zP)oMZbhCuW+6DpluMJ-~VS7k;)>0h*5W-!+
z&p%~aQ4p%nug`}_)XZ-mV@BP_kdj%~+zcO}>)u`E4f3Ps3x<}i>a^E2^_slU)Wne@
zs&mabwe}C+TjkoxZ)Rkjxbh~ZRJ$?KSL6?bbmB(dBsU>z(f^KB&O>u%6`1A0S2=q$
zouP2*iG%(0D&R8FErd>MA=ocxjmfbuCS@jER!-(kKt
z^1QNer~J>IJz+TDkfC@eU$pP|m#f@YT!YI>;+Z^e|3b+09_v!tR%RSQCeA#1carr#IEFYEd`I9r}yKFfPX4s__5LDn>U$Z^u~+
z$ybjnknkk4C1MLjmR?s>2-3VJO_X#(<&@V&;s29OG;}>-8es6|_{`A2?N93(T_3R9
z1$jjTMI|!%^;FMm^CT@{I&*rtFJIM(ag8>YNJ*ZPob1TxgUw5!s29Qu#}Hx2sXvGb
z;DUnEEwM)qVv+Xe_W3DO;ZCPlE4_N_9w(mR?Hq0n3oAXpv;?Z@K>yyuRgLf43$&UL
zTk83uhCI#9Yhspn9<7}S-PxIv{6|W1Pw#uC;7QxwX{^tu)~uhp=G(*V2F9v9J~KQ9
z+E|Bw{{Nv97e0R!y0(eE^YJkk4JhFtFEB2I
z^9rJ#9gN9vqg#7KF4Rh-+Q4nTX637y#4Px8d6LXYc?~Ejd{7(pYEGEJ@|Od
z1>sY?8@XlQr6Hn;f|>AKfBP63G?NkDAfLMO)D#uJZ+a(noKNDA-XN?#@LG4>SH|z%
zziaBOZ1a~{>t>7ly|M7iHUGQbj%Ry!sAT~6;%kETwzH+;uejd6{Bd+N?qR`=#EHm)
zuEmTD^yz_RA$RmQB**V`?Cv|-W#%z^%j?(O%jG(I(|v1mYI&Jc3af%Ux(0m%v~u>m
z%@7<}xgs;?6EAB(h%q(I3axzdCSC5p=38lr5z-UF*-@XJ>`Gp`-W(7X10CoUK5TQyvFa;c-EBL%uoZpxeCz{oA-nj=!_V%utFG_m!A
z!CNkgXLCk%9!BjJY{(c8o-6XDF;DaF`Za4sTXS{@-@B_dI%}ZuaMhk+v-XEqH-&nx
zg059`<$5QK=lVGdnsgvt+$0;fAe)XQ|+QwmDzovR5HE1ODyx5b+
zIusu_)S4b@)3!q_n4NO>ZU~%4r?3vEJ;t>@K6jKyg}-F>&T2WB5^m>HlbloX*-`80
zo`Av9c_{;f@3b|OeNKhOcPlw`^mg$`-rg3F(EMfO5{F{h7R<11Zx&9Aw7u|)@NUm@
zeT~-*Iv2Fa7`~j*YVxc-Uq@1L;GJ)r1&lGFw**^gaSrHv+nER63(wQ|yY}H#%`>Yy
zp0gk1Id#3#^po$J!mxowe%Zu4DM^?-xYd4S6K8qM<_WBz+j_V!!
zdeU_kDi6Bk%I{ydJKdoDxMIKJzPO1peHnu
zA9)H3P%c8&N9p~0!a5ziU-M>05{ixA-Ez_a%>?<7U<+CRGCyKC)bPBB;eb|I
z$XRzISeeM6E`AeK9sB+d!0HzM`AoRyKmX_!C3wcUnv5W>X0U=`9Zt~VAt0MFO?EFd
zj8{&$Lb~&>e=ypsiAJD){3+r6-*3GpOOvQa&ZV+K5qyK%U$!+wl%tZ2fWCL5`z#hy
zRo5sZ^)Hkj=d<1hVNI&L
zkf1a6`E=LTG5|e9ok%Yy;v``50tb7}$2(Aq;mA%o$RZT#q~mu}%~pa>5FSI~3)IUKE4F8pi#adtDLpdD^|SY_UnQ$Y?^*eL4gH=ZSxUtguSl^x4g-cxcK<)(m)
zf%mnBqO2a(@Kkq{_ftBdZ_g2%u8c`Sgu|$EAf&kC4x6L}D0EZRnhAAg5lQ)>DR+d-
zY7tdRB7Kam?yUJMWC(7)gNTpGqE$+LZux*40s<=DpIZ(&Ifas3tk2(A^BX#N1=8`U`ASl|^2S<~OArCR
zJY)w{WHspZqs2PZVx;CtOWQ(4>jDC!7?YW@A!z1*O2;wEhiKQJtEUD%_c%^ylRfM6;j
z2jmaQd)GZ<_!kZsb0mIrznZx7zG|w>^Y~xmsr{XjOBO41R)Q2hGqN;03MagPjxul7~6Em{bZ~|+h;o#CXp?JP72Z;7*
zX021Xisxxm`%{_Cuh9&{dza1#fTHEyV{f-)#~-qzM_z#>xk3p6unKgDNM#;nSJGZo
zqB)q3^DfRJtyBp)rX5PL$&l@BE{ro+&-(4RBeP5l#(Q`~TphV7`$|PB>)X$>5juCW
z$hwGSuRGSE++Arl7&sj_k1_h$wH8tb&ZBuzQk1oaVR5(NH)?aGuzXHF7h>nIIOu_}!
zw<fT|rpnr|`i*KL>jbtg_eaLPS5U9`V4`jc)f6!RByRY5dVsT?k
zUCixh>*Mm$(*7tpv01ljohl||SP|U9Ina^^vJV9$Uf9z)KShZcGISk#B9gc(`o3fq
zGk)7sHRmwG@TR%ua|m=S+Xt0asiCflR>(2SYJByDwhL)#QV|IRT#i}%=(w>_ui-l?
zIPwmqT70~VPmFTCC3!4%FOk>@*AT9eTb6!Oj2x;g@~nVzaqydptI)ND?GTTJvBwqL
z2P}GD(4i{{AX4bEo5fvpqkpZ;%F>`@mqD{o2-U=_`L}li{)Vu}s}ld)HAzN7bPk)1
zqdHQaH{%S9vm{!P=3TRS6LNyZT?z%DDurI3)Nx;~rr}_h+3MYYkY?*KbdQ*-uzmxh
z-Y53?z>d^3?!}aU(AWl>|8Fh#1humfh7t5p5m+!g*l%1Ek+w`!5VS=mGE8IeT4e6=
z4QOPk?ji=6-P?v@Lj#p|IQOY1mePp%+r3YeRYSYCY!&HC;e&K~!-If&FgRI~A))8z;ux2&-hH0Pcz*6uX{g$|
zeh5{VBuIeBXDQtu(>Qjca>XkYOb$UP(4)E!1W9nfSV@4xlNk(ZdEWlkpim(>oX@?cZ^3=Gmf^Go0xCEa%K0y;B1)Yj7LLBhA^f58
zOhm_KYmI$ci^?6%ckaIoM8@XQ5*XhSeRu*judD+pqM6dy}#d4AfQ
z@`^KbOS!xpD=0rchzU{^U5ok=#URaeU5gj_0xLK`8lUnh4IS;V`u=tik(}+*
z9K_6&@0hNy4qT033dJco>rz
z9sLjZ9bd%+spb|GXg{R+zQY`&kuC$T_p^yVf7piv!fJe4d54FGwT7**
zVr9t~nqHexSrmo&^1^_QDN49!(+$C@S8h+y|K=^le6A2TlEPKHAS
z&Qe$mO_CMYn;xxqny)wGLXfgA4jg&<4+J|Z4uWp2(n1jYgbBi$jD!fjM{?nOkMh2r
zfqxx>mV*ArXeGj_ZJHwRf_dD9u<8QLOpy{VXpupSolKO$5EMrbmT?C>
z67gFUBEo@#D?I;w1xc*Yex3h}2tw}3KscV*uBzjs6udty<66$24m$&0RnlmXit0z!r~>HljG3?q}sJJQ(GQN#fRNMz4%
zQ6w=H7G4#-G|#Lbkc=>M|CnalB9W;$76St|H!%!i^T%A~B_{5O;KJ@e0{uho$^SdS
zC|U!&DA<*_u0C`fg8eDBf^H9BgDF(FT+Pf0NUFr58{(U7x&Hq@l3DG>+Bx=>ta0FQ
z_ZPR}cvo_g0t=ajLpYZ0A7GhgR6lT&#Xvk;!~_DwpCWPB`PN7HWx&>Tz+f{`){v%}#8+KoFWKJS
zUeT?xAuU~9;X)O0I(o!qipO-$O*QeS8R~3Xe3}zjnA!h(-P%lm7Ek99l=A#*zf>UH3X!
zH{vu^**g&Qz6VbQg@o2W7&!jQ)y{M66&zcA&)+xTP&xIX;yhdOkX>=m_joEhBO~LJ
z-D_dYalor^yV`e@0txa_MwHd}p@D&P%p@u*bVf!-a`W>s^W&w8n?Y5UH!4Ih!@7bN
zU<2T}`hJKzP`TeTU**5
z9+hC%NB;cD0T%7i`ETR`O+Eg=&+t3te&^msh^_M6Z{OH{BkoXBmm!X~U(Rf-uWJC&
z{Ukw8y7Z6m_@5|A91O^aZseD085ksM`tIBcM#7+3QXF{Guoacu&(n>}3zt_Df-0Kt
z9-D8P0F^j)+oPYAi@=4qwzk$>pf}2WPF~Tv4L`;8MLn}l`D$NSEf;o+YjD0TtlR@-
zT=1+^F74tVo4+CZ^XEsDhRy-o4X2I;MzuPWMy^j)1zQYOVK@*{44kyKcpt2U6w`La
zPE%Gdi)Byo!nwIQ?ANq?TXR<6ag{TEwZS1FZcFjHx6bO7KHUG+Mro3tSJdErKSknn
zv(#-l(OSO&)x+OEj7=tG{PmG<`s>+rxpluJS7JcZn8~{qppD7GFx;-ab!N;&AwLy>1Lv0P=a?r^F$Is^p2~6arQ6y`Gcp
zdU3L{a^}anIJorEoWb%?kdmiw?lZ8E#|+SGT}vWYjYjStM^Ocpst@F3nQy#%P5c0R
zk^u#+2H?}FJ2@3OR?P)}@?bit^C$sln!Dkz`IP5EIJ#5K?=#p|mh9upoe-&>s@A;|
zpY`qS3gteRsW}#uXBthn-Mz#pYr+tg2A1C)?-@;jiICsZQ-$8VimmhOxV1>mx6^SH
zaG-UkK8hF_lfkpH*W~Ag5AT<{tYcowGdW*}4aJBBTwM62xb%s{$e}X${V&eyW|AWp
zBE(ds&ezm1+FV{NjXc!ZG2h*~=EJw5u9q?VQ9l|@@O<;5~%k00>#IWY_yYLZ}?
zCKy**5%{Rjhbz2hOj$CPG&S*bQ546XFUQUT(4s{1LjJw+2?r=OdZM
zUA=h27loJ^+Nzu>?B;2l{B<&6mh@azDq*VdQ#JEtHJ;pHz%ftK-^(AU_zBoucCYVT
zV`$j#R%bPg3sfh#DK(&S3`6}uQFQ$vb1$6|ZRy4MqdijOX#TU(phCVZv&Tl-DEybw^Jz9ej=1BQ*Ap$nw5%?SA88jMBlDlfMDbJrn5<
zPdTcOxJ%G+Oj8?%7c8-BR&nC9R)i6J=P2@Ee{jsXap2R@-rFJ%@{0*w348nSGjK%v
zfbHeuw1EUhXx)FC>3=s3sBoCjS=V^NahvK7N%$b`lygivm5$0z5t{|WY#w@zad2|-`WE
zgFyoBEuYMjdbn^NQo69F^=JS5DW|9*K&|cM`jgXpG0`(
zyvOZ6R@Wz#1Ye0l^BeFXDBtUl4t^6m*_AOuyGoN#hd%wE#U@hV$P@p8n%!9L&?tVv
ze-|1`sI9H77{e6(7W^yN?uwoJq32f1s8JyVPK9&@doS-^SY7fMj*ZPy_XjKLDY&&|x>
zTT4fe(}!=i_$V(A^}joo;rPM&CFmk^goCXFJ-%J`t_YTHm^smC?VW-eTVk3?EyNLq
z&pF?}?hi?Fx@dOfVmWfM9DN
z;b5n_z};L~CK_I>Fg7ufI_fml)zuvrN}RSoK6TGlt8i#|b#gjxn~WN$cHNq+BK=$i
z!gG`&^9|qyfVvWb!zsJ2$Vf?pMBJ-%dSuchrabiN#<3B$I!z~}KrJ!t;z*|OBLhyD
z3gLO)oDiG!TYGH+ZMXR%k=U5WuaZE(|AW7#TQHZ3??LP!eg~Ic(lay}07?JXB~K#C
z0C0qE!mc|rRNye+f-v2QX$N;Qk`9in1X_o0t^{fD;$Xr@a1!c3qV({(0an!OD|ZA&
z&2oXDCgArCB>9z_NCC@mVuY|re|&&4O$n%GxjG$Ew`i|Y4MYs%b=Y;@P%fB4w6}9Q
zCh^*q1}OqrJrcS5n-ED3gbp=f?tlV!_-Vlj9!!Jtp9hCP1XPg)kV3RLFPIewEtWvW
zhq>ZOsRm)!1u>=}D?viBLkBdy4xU2k&Ifny)h)6Yv>URK6-y~962
zh?h5A0&!&NKuL@zXx&G{%><<@gWFDnla6*Kzl-y5HAvup1j9Cj-)u0MhUTKeekcEpeWPzn>TOCrhm(
zgFQZd{ty_Hw!Thit4w!>N`tvYRAZaK7lzrfI`(LV
zj+K3&GV|=FO;p@?FvuB`cP3YnUH?vR0PS#NF@PW%fDJn=+t@gp?YE%1FpL&pa?n}Y
zNqmCekz8OmK=$lpmW*G=T3v7xNK~4P!BnaOnl&;c#)4)YX=Y%kIXZZgpExeDC#6i&
z9%Wctnd6jbd1a+R#m2@)sbFI`&yjt1USLccez{X4e~i+*igT-0$@&Thwym;&X3udH
zHar7FEo&gm4r7W|7_A7K_USHOn)bgukLb+<@i3=u;c!nPKW%ch5zweQpgF%mwu_nB
z-tnLk&swxRUGdcP`T@epT1)D*ZTr)QG}K95f2BX3Q-egl@C;pFi8wa{L_UVeS*B{Y
zw(ew$RZSiu#ArVym)VbT8@=kh7tuEq@lN>lvL{&;$eO={pPj
zq7ShSwk;>ywtkeGrE&G9|9?)!5il~-@!|};XWh41=}n5Pl=$(*
zo6|D_p9jC_wQoDEaa(>@%cpvLlIhip-F5s?(&;G5?~I4XZfx3lv|>*E(HJp($_y6F
zH0EsX`*YgHl3}aG7wwmljPbm#b5D1W#~-r*7Gp()2fHo~gmzs5Mrh`3p|G!Cg3s=*
zoEL68R|k_{j#qKBQYKpYv*}w_|GgZ7vjoo+Icr+vbhC+JP=I?kuAQ9wVKI2p89)pe
zt*HZezz$1r0PKt2DQp*q7hDMjS4e@DliN!%0B3Lf!=22NY(jKa1soo>Q9rmL0Z;I4_a0=EWZikYZHCw=$?7HoKZO
zIwZ{PE0W@|1T&j_u#juvr7_B~q{SrYdOgcB&YSR2_VBxy
z7pG@O@fG9eYeh;#hKeV8yZZ8
z=adr#rTAPcg7!bZOYSw-dyV0EYOn98nlPlp9aPZnGBTlLk?$*9UNY!xOYXi?TU{f^~{~~e+FXUK|bKSzQy30}fVM_5eI>xAMX?7gGw
zK)0c$Eh;=bu%$5|3-|nILIQ%Ofwo~T9MR)c5dfD4O#-U~qIl*l)U~D^9?TeDaJN(}
zytpOaC;*$*@3at6Q&DvwjB7nm?&+VOX0g}rjz&%Yd0_s>(dJD$30sh!f1`Kh3l%Z0
z!4acHyR3?>iAwv43WsMC;Ouc3R49{>kjQ?^E&F_m<|~v^4Rv*+@VVW#hu$cP6zgYW
z-Cyn?9wlxyUs_tGhQKmemW(lWQ1p`B;t5_5_)u)
zvvJZGU-O>b>3Dkz;{#t*`h&#XZL55&=HfNe;6yh%_6tbi0gR*amD^&FyLOY0%dqPE
zuoV;m)(V1-5+5u*kg+Z7=jZR(KG$R`@~SJn8>4wDTX1r0+GXoS=3D)(TV}1`?@9ev
z?u6SJJ`K!X@<6?Pt
zyWQsV+u0#9*Xl3pB_g=U;NDqgHbW&}b5U#Y(H#wu6S}&23T%zMzg0M_h4bu=Hp_;9
z=(Y2u_Wk-uZb+sX8@jKqqBR#S7U6E%qr9&;2nC1j`{dPzoaNZ$PPCx4Dkh*{LIW&u9q~7}JxGna?
zjJq$ytQf7Xj(A>jvB)&6UZgJLo74S~{7Mg>WZ8BJsN4<)3f6Dl8?q9=aHWD!wPNbV
zO{h6fZ-35fX&M_-A%MFRV+W2EkGAe>cwAr*$Eygjc|&hw&MQX(iHQ&YjRfl=%IQ+u
z|5fF4pzChHS*NZXGMXa9K70QyCUtX{-%lNzWsvv=RVkrHbw@5okIIJ30|R9X@nU}s
zHfXA(OvNOgP*H^b4Apyj^7kC&UxdLMfKq(IWa|3mPr`0}^%tc#1>vMIILH0_=ITJQPFR2M8CBHa3(o{^AkaeAbGjry}pP~(+m5EQzzTM
z=N3h$r>7$`GbSx|gNV)IcGo{v3Gp?=ag4zIq*O*agJlUlT=ZEj|K%*0B
zGLR5fBMxnk@E551mJ8-?mA;&_ry74?9~|NTmokWlScK?@i`Y-?-qZr%)dF(a$>K|`
zIVXRAi!LnGNQn70Frc2J1WyEqehlQO`!QnvJi$^oeNkPy0{*HO^#K}uf)Jb7wMI1_
zdhfTE$5lnUrMlTv-dj5e6JyA
zW%Cbr1d60Ea4)oTBRHVBTW?{`*4Q6|`GXJPz<2mYJw2&0U_1n&0DzV7@}>>u{ZB+*
z!4sL*i_iBt$=};IPcq)dYxIC1)0v%}@5cV;hZ+eFBFw1l92~S6nwCbiz+`zW$Z*vx
z2!4BdT$uYkP4E~laWuLJ5)Q3Vh9LFnnwlEdje^P#HSe(n1O!&oE>F^~1!O%0yK)=B
zig{q>no4sF*XfBabxFmu1F$3N*C6QQI@ZWYC<$>~&HMK?wY4MD(}km>qZ$cVpboOb
z2L@vX-i$2J-@PayR;owf_nzH_8WRB)0o1oI5q#8>fDqj_AoLs1bc
z#Buk3$qaysn{{bGZ(FI!!1Ax;%GGHM2Op#UZ_zrLQBl=}meZ#G{P!4vlxtQye`}{~
zku+@wpdQc;9#{>98Z0my?05YBPEp#qdF9fN
zxqhlJt8klU+RV}kYta^XmS+>L9v&O?m%H>~>Lh%O044?Jq_pegnrU|e<+@SZrde
zw&n|N{xZCA-J$%Garr~;^Fyu)O!TyuPvBhnM@_7fY@#?OY*B+CoV;>HEf;>j5Z9bpN>qp{ICrIjypT#+#JAw+$f|sz6eSgyJi(PMEXO%wK~>SuT3b`|qFiR~IX=2XF$x&2MN#wZ>u=X%Lm2HkJZH~#0UVn9&
z^e2s#AYN@8JG=YGk*d46lP=U$cHa_ssP4Pn-ua%+^DUicU-Tny_eQH602p5D7FV>E
z0+0lwcF4{LKo`$2y4W&K+Rw3q$;Kdvg~#gxwSV%{h!S#?1Gbgp_&?WK53x_=Shf4?Gs3CESmA(}8PvHi$Kg;QXq=Qxo
zMp>W+#iYFiQtBOywtkohK`wc>>~xJvZ>_zx8-0I9{{?YWwpB4cg$7w}LeSoWQ`=()
zYsVimoehc2q$j?8AyVa2jM}n9mmaIiZv+i@zLKZ@L(nlhPl8KsB-*Z1JG*@Jeu((?
z-W|U-6~yU#qgr=N>>|4S(c(q9{5DV=S@7)pm1MAF2}DKT!v*5{v%T&QFkN~15THf(
z6n}j@^&^ASAD$j3#*ZBGy%*?q|%Jnxmz%1Trhx04`mv)zqy*$0sL
z2)904E6T$$3l5_S&KS*=9hWGPDWPhhQhZFV@|aoimra?%h!+4>>Oc)Sbt#C^l>U5G
z{_t0%-*8E<#PQ^p@H@h{a+o0J>_9T39QgOoAc4y)sgcI#Id}e*FfrDpXW^+SV^c%@
zXozcK^Y(N`MTT&gR&?c8JhcLWgHWjf
zoxnRXFjX+1z-&J;euKCuGLeG%$*^LQD65;_-NGj(mBejIMxmS}tacQFc_6iA&$9E6
zTx>!~nOd5lV36k657vM-^Wqyi*yMCTwL6Jqn$V}GhhON=6?Xp)*LL`^Eq1q+=`r*F%b9~cE^?RzxrtYoNepic7_At
z9h@Er3Pv^~fHo)^Q(;xOtn__qN$Vm^doF}ar1#4Ywb`+yx!;h~leYY&EEgXSBxO4B
zMfDj!h(;$`21ME|)B5lBKh#iL{e&b>6_tpY{24_q5X^@MXSC?pwF>s7$n~ioiuRIC
z=zD1?srd|e9{-)eu`VI}*(;ZV5w>nH@*dYmlZ-Es-+CWT@n*_QYkpP#)`2hCI#3a~
z@=WM9X-IidMV10CBRxqsX>4N&-@-v?-@Jpp47SAj&2z;v^I-JYEq$7UOm
z=6{54dg}I-djZPIl;F=ws3Crs={+ruyTOMaULF7(=4p+)@;RgsoE2g%!dJ9<|M-~t
zntQo{D!nT45;=52oMzGJ55c`KaT7*m>PD}^QVd=OT<0s#8yMOFH0zLM8(~BQEH{x}
z_ne~fovW~P7T#$OYvujvt3X`!57^~*ba0Hefjo=Hj3k5=pjO}=CY;$J=k?ThwXz+*
zW4#b|?tK`Z@qWlxa_w!aoh!OCTsEIjGm+8uBH77aA0^rCPI33HMbV7c=1W{VJH85%
z+h)C~jfUFgZASeZx2Op#_2{>6WF(aKwR>dohbWs=)zu~(yI0sAizUauZ4a%PRPV{I
zjwjNh_|`XG!Tz^m{y93BzsZDQM0nEsg~P58?v%;c%coGZ!;zCZY9y{eR8ki
zSvp?R)M~iz&ux-;aRG~C)yx_Xo-QNyXL%x#aOE47ss;mBJgxrff*L5P)S0uxcv_c!VdP_yz`u1W}o+;U4aj-?VBImv4w)7}}QwkvyZR@h>aBeU^=vW^bw82cpR
z;(9ou3pBhA;GM=T)TI5pPskWB8aIlWN&egp4F=bOAfU5#L4q`?3-SLt*?dgpB!d@r
zeKG=EmHBs!VkcP;No$99pkw+c3Q!^a|8h@kCjc*MHHgx90Hoj9y~)CPwY3Jo6%CbG
zb-Rw+X4|d}evK`h8#Qnmp}*L{R~*Dt>4#LsxEyNx`cyHs@egh-5&%H}FXn&YH^ndY
z$obtKwG?H5=G6zQ>--OriU5gRkN?L8yW$p0E2X2)#1(C2z@sUW~e6^
zFvwb}_d0w1UKgjGqvNP;c1jkA>t8y|@BaN=0w@-$DW3E12!kHkZm2jAc~}tWnQd)^
z*^bd|$otA$;5a#IjY*{sbOiXH&RWv3lV$$H|7DzVi+y~L<6N5%O)BmL(#`H4r%>C%
z%M%~TZa{T02{zja;OlxKjg|gC$Swt-maThx;&yO`MWlodYpUnxTik}<&}eTk3UD_t
zJcXLwpI77ziNCXf=pJiH{-Xv3=Fi>SwaRnOdaNm~F~**AxEO*2hVX!?@wsZ=`1;0>{W%W+mx76DHENYd
z0>(dc-GtQj5?elH*3^iCEUTP`3<;c0`SV`t6ra6L(WN-e``GE@ntQZ%F+
zzbzuQWo3g3Yqv$u=P4TpSfx%ni%Ir>$&~bF0v#=?T8DI3Oyi{&i*OL`L(>PkJ^cJtf@MhqQ=0crec_ITFD^qi;XSXB{
zmOgV2_3edn=_OADz5Mn$3m$LEK`pxSv2JCK|AyT_7@yV|U2>N4R@mWnNRiOdk;m?Oo<@M?=7&!4&zJ9e#h8UP(o4SB39m$T_+VdlZRTUQKef
zp1bCN|K#Ppnh|mU2s)7)DmW-J0=>D+Wm_f6L))XCjQ0+$jGC9@Zsz~wK4Mf6J5WDq
zHIv21E2$`;&e0l@CJIxhm}E9Xm$8;8XkR!g{^2>pngG?Dn+DFNPIFp}CXdZ5(xz^}
zAY60S0Yy9jezh+=VZQOf`ocs5>-
zIIgNNGBV1|$?2@xO+#!~qnCL6b3*966|7U-KG?aO4O4GRlcmo;-0t9}_3tt678;X$
z>{Rz^g)Bs1OC2G+v7%|9Jo@(8m*|i6(-!glTRr2?ZKlP$*R&hBg8~5p1NaRxw0Tj0
zoI@wJb^-J|De2cjPe;dFG#X7~B*d%z@D>D^NgDvP8{1pz27DlS5x#x^?kU9R>+Am{
znZQttFmx-MU!P_50TbqEdnym?%j!_th3ii*z}#AWO~gF_RHvZaehjl!Nm?qWM_ZcA
zF&B81bIu>{1jGjn2VV2%1a^Z#Du+?E25vp?%K8jfY|VQ!GuE4oA$1*B*yTP{bAB`-
zC@!AQSyVR|eF6?0hQkt*sl-$7I$3s4>BH)L7|-a4u8G8`(&}bu|7fChs;x*rf4{gU
znfMNp4iLnA=WnK|%gD&|x%nQ~&Wr$VT)g`@V2d53pnO)4DN!S1IM>?}#8-I%w-JIA
z`c>6Zh7qWTy^h}&ejE<}$VS2(mlU8ftL|GEOQm1$U7n?q{NecQ#=AFufU%bg3}&8A
z!C=fiB~lv~3^(n~O;vSW-2{+CydV)F3VKunAXT>shsw3>T9o_!{G<+E;*;|WY&xSf
z)mPb86xYA1%3Q?Yv$Y6=$9o2uQ9YAM87?AX91>LJu6HA3^iuh7b^@#H5`#kJzMz}Q
z{L)89by5I9$cxf4Da)~LSI%Lw>M0=H<#X5Vw7hq~4uFrhHyDUu$V{mEV?ZQI9Xwe{
zOWQxC+di-#=Bn;uJ|LHk-iNOXOc^?dP9@VHv3iaPwkLxa1
z6sOZ=xK4Fi|Ed5I1{3g}4Zt6sn8*W!Lq=2zaFjJC%gKk?Qs;`CI{5>_4Z9@m9$LVd
zVmOSLiJdR9O8pWXGmITNZQP45(ooc8V>tuvkw%Ct_M$kr3z
zuRGcdU)E=Ol5Xd$fWI})KWbZNMSdCQCLfzCT5;FsJnfEHDGu1hNvYHq_e~lMXD*H^T?n~eE$yFR3OTEYnbTCq#&dTgzmp|g
zgAYbowj6Yk6VtzbZ>@_YHnEKr7gfKJ`zra}lO0-LT^%?-o=F=*_}m_i_k2`iy~RyJ
z`sXsPeZ}P%Rr!hbY}tL}$hsk20v;e~_SlQ>U>iLf+p?b@Nny67Whi~vo=us-w~|T6
z8GKWQT9x=&1uEQq&G(SgGVbL7Zu)l(vaf-GftZq&)v0x=mmC)t7sfOXs#YSz2zc;C
ztLNngc3y)`1ct)$6M)yUM)Gv?YHIZD#|l*@ehR2exelp#qt~(z8;YmXc*ZE^YTIzfL!OG1~v((vVus}T(Sqc6KnEUQTI^3$d1&64
z{bBAnFV{*HmM2|pOWZq<8l6%xajHEzZ7H)t6MHFsqx=aQLz;QTczbV^`MavuhP)3s
zs;cXU?|JHPxjzatlugj5=h>*JEATZs8rz^1bH~_5aoH*b5V+w+970c6H4}bj4)0k1
zDX~H)_@5+vek0YHbVXDji!E>gMr|nW+JzAc-CYhG;jQ>%|zV!gIY9LhJtV)_uKnhlzZi=k;uY;>DZ>3US+)hEB!_=v2ejmUjVa
zfS5mn>ZhWL_pVBc&CNSY8lrKxG@gsf85J3&lx4daoPjAh+5^An-`tIpK>L7p}@UYoJaU5P`GP{KPVOx<#X7
zjTdh1D_gREE`ryXu~S|!K5b}z`s!H@AYNj@5XtZwXSReQOe&{r1d_tnukqkOd(pj4
ze*9}|CpGh-oUUyYx_T8}{fKGJ0cumO!v@LfH}X2oPb+q8_*f8WUzqcv*oKa~4i)Xe
zP2klaf2CATq=Un`0g(*wirEjg&y|65jZ~`8APC_xCJ8*mviyEp_i4;X5blz=1CiO@$z?b
zJIqYL1>-$?e~^W&1(}Eg6F^;lnW?W#3i8!^GucR$ij}A9dj*f~ip})1KHd}cXJWi-
zwt#Yc!ZBo03ZS<3Qk>*ZJ?U?Kg4xr|${PjZc(dnO3$lEI4=XI+I$UdF10mR3>qgJR
z#0TAL*LKNAG?E??zu;RrZPEfbADCF*v(U#gIj1Lu!NHR+=l0NE9*Yu@
z8D@anG*pWKrr>NYC(#)o9-ZSX;OG*>o0ecT
zn5u5&`K0XGM%>U`EX!=E*{Nu`ciXLryaGET~RT*>(zq6
zo+ebn`MJ^+Vqn)7yz1|{J&yZ_fK9+bf84z|L%I!Lo(JvY9vrIjK(0$s>3f!(WEirY
zlHi+TCu18M5uMhZk6F*=MAjowr7wiZ?`S>xVpj3sYp}%T%thcF2d+%~Z3F7yjN7|-
zC&b+35Nf=!-^S5V=XU^^-g0kp_A#)IUj6tO6`KIiC;t>(-;!^FaA{V6xifaE{Dh57Xb^1}Xt7ZahP2muD;J7Rm+&
zTi49Mk=Xc1i6gzMSUt_Z0mFjmJ|QI~T?ZtYU#(1$4
z!i71g!`Ju01gdseZ@l}~&>*>WYK+(ttUnsJuh}T9b?tf3zIxnviRnII(RN{q{(c_!
zUGIJtXf4v~L1%45N}|8@iJ`CKw$V)(u5|as{m%Ld0X%M7-xvBcltjjQD%5BU@
zzuayFHrM|cBhP|ZRnbmCT7t=X9qcRq9Eg%{^5DWtpZ5-iNFFdM4mMtFH0oEJ1EYIi
z(ay$Z0Eo@2=|DSA2g5RY3ToZK!NI`TfPcedW7!yY4D$Dodx{v6cB<$6wGjW9Nx*&D
zP%=TsFy}Nh7#~j~irhDUXMiOGkUb-V5n#S9qPstC-c$5H={7mQ6wK;yq(4h%UOSp_;+a*m><1y^U0Zl_Wv$KM%GJSp6#=i(*VA35$Irv$;7C1Y*L8k=U?AIY%Zxd80mNL<^3^F
zjNC>8(2RTG!Is$A*s?jrQB~Ij!~+>k*V@dpjD4)&Qxb_zF}K31SB@#@X*5ur$wR7l
zrb{b3M&3(0HWcS6WxTCV9)FfIHMRnmh1(9}9dVdFm*jev2qU>iZTb9cvrFr1k*>4_
zGfMxF=ja%#pIYG`IW^(p<8^9b>KKs2jU?ya%b1vtHV@fd*59bMb
zQ^bT9>M$ACCA#Qx(8>SQp#ES`X}sEHrE11#?{IcD9hl%p8R{^<&ztVslOjjL7hSpy
zpRaPJ8SxWQulkQ@epgr5ZvazyJ0c3`R;kU`zaL!uT``tGpY~}aJQXNzmUgS(G0*9y
z;{O-722~+==g5hNwZqUI`ln7W+{bN48XN_2XI@otK*%u=UdG5dt^2H`cz_&SZDXux
z3}135px9Q-V|%!?Uy{@I(z)0bST0ofVO;TD>hKQ&(367J?bx==U#zL|VgPN%lW7{X
zpGlm^UJ6@IFyV<^@2X0&CbnOhCY(U66&0|X%ARVIkcvoYwyL)su&k^QJt
z+B%A__2AfZH5j+mmjCzJ9rpiv2-g5
zzy2VHI8siNG@_-Y#WZ*P#D#+(looMb9O-+1>lCQWG=MkEzoWm;Yy}t#fslYW7-@BU
zoV_*h{%238yMvonH)*kdv5+=Z@BvSP(=YjLQF%YB%ZcNWVViGEhHtul+CTJ3#M0LG
z>SvuC&V;MH#JbNwU&^_X!=j%3G4W)m(uV2tQO1@?ugCMY7uqNLsLw`gMH=yG4%eW%
zANDYCJZjc+^IS)?b=NLVQDd|olNq2T3V?hIwr<8I_C>JpUWa{1k=K_{2R#1Viu_5nMw-S`rdA9clZvKncM07%@L7w3NM
zG5zS56PHOZRM>jgN6~CyzzR_saWNpz&*KCe|BH%Gfa|yEpXbaEKDj_zlpnKfn{(>x
zv7s!MB3y9J6Z?JSbdB8Nnb#^C&kOn_jt#FA67Wx%*8uTR<+LFpg7ok(Jc6|9^5WEO
zyL#oh;ZOA8#(r*bhS}xGBakgW?@fxYFtWB@sWLOZ3Fxx#>y2yO3s$fgobrGDhau9G
zM2VgLr_>tLX%WLb<=jdVlPR`cB@+XBo$@F+buxWT*3VryIQVAlG71V*gr{6JjRom^
zcA71U=)D%B%N&%4hVLa9nv0|XR{wdc)LCHWFZsbDgG%nAnyzr+Q5!ghNes+dZx}3!
z83Ulj$RXD200wCR8;I96PJCH4^8PmePhK^X
zIF%b6eSRz#-o5}_-mhSiJFeiguh5#RP)tAjGUwGv2PgiwMi!xqoepwEi_Jrj){DBA
zF82Fh?BAZbNf_k1+eWEGP3v9$YN@LjarxIr5)|BxD2+Wc0GL`>H6L2HPK1M10~{@L
z_(iznVU8MTztIRb15lbB0C~~CzSH}jEzpn6h0r^S6akE33P8dZCPkp-3$$ketKIh7
zHw?tf)S&qc1JwdAI~+kPwwLRlyVFNa(yxREKe)hz&{2wfIC~lp=yv&1mF%_GakUE+k*_~cD616iGb}&#(4KdqXlhUBP*}|Q~=LtgQHkZ6Y=2y5S&%j
z#CLyGA&9&JJVpUs1Txl%g?)pG!RK<56gJZx>
zPH4N-6_0@^$`QwoTt+p+(P+?F0^Fd~Dp=$wkYFxg1%Z#Qp)R&jS7!#JzgV!-{%X;+
z%vcQPR^sCCLe1=JqB5IbOn~18KAcltt_}QY7HF@+D==v^zC3ceT<+*sw+rqZ`Tj*z
zRP>1v*5JCJgb(EmW0quPl-(v~fLP7~|#2MM~{+
zXB4tzsill$-6KMO;;ACQps5-O&d9c+hK!%vbc!0?iP^PicGL2S6tPJhVQarS)=4Yo
z2l*=X{faR?RhFdIHdK5|L=mZ(Jh{(Amr}8AVG7M+qYlax?qkoyJ{cCJ5X3^#
z?&sdJF&=rXkpOG@3Q(?}?<1>&g+WMKpqC7UL~~U(Wbgpk4d>`{&qwPK6P%dFZU|Zg
z$%|v#II-GQ2Lc3%0boEUzZX;2#{9QCkjK?6{$qu7_mV*4sAG#})9kea=vCirlnIYR
zLFtPjQEPQK!D1$DKjA1CX??x`Wk%%>c$&$T&*~92dCz%I4&q
z(L;~>01ntmM*pf5vXxsObqgA;5w#9J2h(DEf!+)
z$cW0Q(QiCD{3Ev0HXm&4RiM*OubB!PcuD{JMc!1}MU4PZB{4ZmeSd{(O}MX(0SLl6oeP7W;V&0;{xv{dZa
zAdQZa%kPrj*bQ$Dj2w}J&l-HHbqWoit@Ej80SU|HcREXeW)*N#21?8%MlGx8gpru{
zQAAh_RsY!Y8G`kKw{Y(N`Z%U(7J@neVP*1dGQ9N=)6@!v|0~^oH<-Hl*t|vpFMC6v
zF_+slD=@rJ9$I`~P(-$#xPm5+w7#I-UVD41mBlOcM#s(b4h$^+X2VHVO1O!2k
z6Z+WQt}Q&iD|1imIJdBHG$VvgKgOyRlxcm2QQm{A^s~tl^p!idP!sEZ!E_b@
zb`%Jzu5R#eSycHJP$OpW#TCd$<^&)2YrF%|BbP!36<%r^$mv>7lW2~l8siz`f&`Pi
zSnZ=K7d6>kLM)o=DvyV0*VHH9TRRxs{x(`>8c4kR+t8HbZ3J;{cB#s{$46UZIZH6d
zCT(sA@qMV!bt1W5#@6c{oY~P&pP<#SD4rBP_o6z25B6)
zYAAOvT}wh}Y&ouQrI=7rPQISMS}X4p0A}lbPq*yG+Y@|AMFqRw1t@`rTz{}T1XQrn
z#i@c_*JNGFmPVvyEfW1Bi|RzbHP#QC{OIaxWem%8T|BkB>NIgEC5`S^t2B>`e6yyh
z`@(VDmZCv=8CGp_7+gJ@?nVJB!}SC
z^+!n$V=(jKVf!`Y;77r`-@YV_=~vipklf0lZn~Z2L#=GN{$~N`ZPs_7-UWKafc6Ag
z0amwT^Ei?2fApCQXb-MEk0EH@y0RPKJ1{0+ms1wD-E6{W*di$9V?I7M|F6#O$wD}l
zrdvVwUymU3{}Ac`gTw$ZNUCnhG<`ZeF!4S-NJCJBSzj0(ZHI-|H>@-+uQ&RQ8NMG}
z+)qRgL{FhZ_@~*s_K-Q|4AVsw%?_c=ax}@-M(M@{BVm>u-(Rc<&nMA(vu_EcHA_;m
zWkt{V)$gP6WP`a#L{U3{OI%F4wf~KfgSt3O^Yhxx-Pz#F7P0lY#D)eY}1v3dm1RDEKYi|T#Hh#;w8MqKPQ
z|Fr1UziN+PH@EnYQ-viySw_gT`Y>TTy-O~REAr`LT^F)^g6cC9m{mljhu+$v@tY`7
z(fHb^Ptv^RrKL>==p1o1IJzaL2og|KcD@%2QoUbecD~}Y)AdsCNpP?h`T|%mmXAIA
z)4ZMoQdgM<@8=jZ|mvw&ox0g=^B}OjJor;;M>amO;_Z>hnp3Eh@Xg(8>Gs}4QG0W
zDwsVt=JwFeWvR!??$daW%gY(oQp*{FYf8Uy$gel!Zs&3lYUNUJn3vm4h1uAa>$kn;
zI^wP$c@-nMb+%Ljz@M2W;xhYPRFU><|IKX})gNbi{-rRhV;(u|X4}2-j
z2Lq^sXl*!Kjo#|{bGsjJ|EW3Mt}XXHb&vI?zrzv`?0_o=T{U81?r9_kS&}(5o>yS7
zFrm9OLN9)&gRjr9>5RFj-{@CgQd07H+DS$x5JX(rpoycr+HYgDU>tnG5{7H>RViWp
zbmr2p=a})9_$xDm0&E6Xvb614{_k8@`Z-4tb`#NWHz3-1lc-ES0t{L||?lH!U;o{;F@!h`dRb`576<`cR
z{g`Nlv_-^w*`^9wjXW)ro{3*|`h5#v1XPR-PodmH8~KBQ
zKj=D!*0xpvH&6*1Z;I=+xZ~?v4SbbMYMXR`K^&R`QPd>?bLIGq&e4Kk)i$TlSG3
zPXs;=Pj^37F3NGgIIrqXEH?%%?>szQByRPEO0@+>#<7)M012q^fbfw2i9#?1dB!Mh
zz!$9!DIcQi6ne~EM*ji`muct1L(&5{bM*-PdM`jj@Z6nI%1tFq#BH+qxr2+VE4wO4
z`oPfUAl(rX;hS9okcX%|@;0lU5;EJb|q?j<1KYm+%tR=vSL5vn;Q1&(fr)?*3-*MUkbczJ;EsQtlXyj0H#nfvbHt0wuO|X
z&p$2C_g|r-qXUSt6KpWtfE(dq^A29M>i35C%B%u4&#A}Ha~I@tyOO;OQs%uG1goNf
zL9g4@iWxb>)bvxcTH%AOE+_l~!zltfvy-GfxEgda8w;D|`I3{y#4KD+VOV)l?F~pP
z>;=gc5ub|9c6WP&u^2S?_5iYkrDW%ob7lEZGRYW)6+#JtQQ{VhO|1O(5M@}3PO{RY
zLyw1_Q7aU%tJRu|w*G05a(I_gDM286mdj>YRH=Q}$TyzeSy%obQURE|Q|Roi%a`dBM0u=0`RTnr6tDsu8N12m
zq!{3p3keG&U<3gudcXwZ(2DOnJXyF3oT(XPsPr+2W(D{^CEXo0etvOY<1fAUcGg54
z`y>!-m8={R)jHL-I8qOIlUhF%uftLRf94pi_6M%%6}z}E!l1j0WIR2Ux#M$=|IUzj
zig(EsicMU0o~M;%E4Ynr*v3?z`(^9YiQkp#OtQ{h7iWI<(X83_0zHiP8b!f=I&Hv
z5HL2nZj;<(ZF7)BJ|6`%OV>(1{BKKK_&%Nvb|Iw#`uKDF@Yr7AotM<&_RuI%$
zDO399$x07~|ENFQf{TO(LsWp53^qXZa*hfU?Jcr5)Ef%1P$}yUmRQZOkGjcpLZ?Dn
z$?>tPR#^VKtx^x4)NdN(ektQl2_eyQx|B48iPQH&dGEZ;Zs`hfcT1S&VkPrq%WS!n
zq-6G>&vr_XxtBbzaQ&%@+E}QjibI)oXjOvJrc8jF)n0JMhlIYqK8e+R3L;RZW}w(l
zK*fXhEk#nJcWG%firP4U;c25g5&h!Ngv<9T`r(dh+^(mFe5YFLzy7mUmWehiw_HU-PWm{j=7*
zqpmLO*7N)3%G?|UNOmkjz%p{e2D}NE&qP%gwFyHF8
zNJsYcZ$7W8r06oIj3>Su%MT81jcQNU1oejIG0n%Tk+tr_!0Ia4kV$)P@i(`iH~q}v
zHdgF9B;%R5XtgT1z~
z-cE6w))YcJUD#}L-gt)G;9EI}IjEF@5Qiri!(7&dsDazxqL5g@gKrOL&}Mpb`zaqg
zh@hxtbJfFsVfS-j&k28#+li8_D)Yz7&djc+%gH4s>&!ZJ{hIEQI+7H=+4*H``D^Qu
zZq>6s540lnO;@<)yQ=e=j_I#k9`}utnY{gF?#}9s3zht;-%g(i&hp90+V7vAntvys
zD{E&?TGUXP?A)xYQ}Djo;JbcB8cBP31#UE4
zwcgwotcxYm%LlZv%&!wmUx#i9?5E;^p;O$#$cd}o{bp)WvNk)^hVy;%NYMXezq5U&
zT)%00T3XXy9?@2Mc1AO8t6;_Ow9~AP&e_ROF)vA`IB%D0ax9?-@7QNd$T~jW{jw;$xG;C>7-$8T<_&HT9d!ao`+p&UU?_mvpiEGN+k-
ziB;+8FCsScv&ahbFd<8qnkPA~i9YUymuE}AExnK3=-CTGujF3q?rfzry*l`4gDKAS
z`g+-m-Ho%9KBi0?a!anUZu7?DjSHi<+;-PD>c`v2{n)-brA(>lgmigaJ1!L!o6KM~
zSzladqn8Be&-r|_8ebGG!(zxnF?-bk+j?zIUHsvoIht_8&wkJs0FnpIVE79#zJcKZ
z%C7?2zfjX6uxq#hOv?Qmf3Xa#=MdmO!z_gFD^$Xmer!ZSUVIL-IVSHm`DsMGK>lfHAvFIGhv4JCD$BVoO?SE$;WyZZLZH@oU^WIv=c-pU$F>B74I
zc|p9b`Sz(<70-YLzvTQS-_)|JYRrPV>SB~ZmG923%W%paNUiV@dfNP>f;9GcWmIgTdkS)JJ~mZYTI6tv>o*>Pru&t!&9#Mm#QlsIAymLqKt3vX)*}RR##z=igG;3GNacZNt
zRzU-|M-HjBK#dvsWRf^|j((y3{z8!TweP8-zZe7y^?D^ic98njskN;l^Y?_XeSDo+
z`F7&^YZ+CP@jI4Jao{V*HGVay%;>dro%eE~iu~r!kTxo-4?loF522Y~D{!rsf%iS#
z^~RF1hd6j{#e1bRw>0)&A-<zK{*Z%DqAczCNyUh`xLk1cGy~bNVXNP_yOt{;
ze6eYIB?)Uu%G-DEM6Z23umhYaePiR7XSPBvTqVR~8X!TA5p%el?vS0Gy)weQX9Q>o
zs_-Ha2$FCjQM9N{GmFDuwFx2x_4K8^d7~r0{+_ZBDL5dg+=TGky;Vbe>eu@RXG1KG
z`$Io0PiN=Hxa>VICuIGX^+(}R+k#8b@(&-*jZI8&i;EkghiYup^Y$*k$`=ix&HIoG
zRX_{i;^l2;4Uu^rC+(R94yPx?ZZhJfn@|pom=wgFi7WPljBIqp+kL=mV#@!7qqdTg
zKhz5s2C7zS_O@yO_wa_qulJ#}eMgQ?2$O8#t)X+szo>kndP~IXj}??-MJ5HS;dQEq
zMe&>ELFv(T{sf{P!-*`sb!V;&Wep`l4RIXq*dqo?`#wMa-vrhg^}
zc(2ad+7&3$2CeAn>Dg?rFaGhaDhC>qzKIDhpf`wtyFB^R8@vB(*65{V`F1yI60M#jg7y3`SKjH_13AUcCW8PlVG3&Uew;%
znVpxX39|%nE0m<8naQdgJozP*Rmyug11uIt)(vqlkMdq-3#m^A^VG{r6F&?!HG|3P
znqmAPn@xBO(Dr1hr(Om>7eq4VRNWj6*TTC>mX(!3844CrdQrOwzy=mI4WB<1zr=aZ
z7YHzg&Lc`Y07sPw2?C;)3)N`V`0m^9a)6nqsS@nvm)OfS!a6)!GxS6Xr
zHkFk&$?W3H2}`p)+2aX=&3E?r0voEYWQ$sqc}WXy`;O@|8^(|hmX^tk=Zx>G-JJGu
z&sy_mJ~Mx8;+O&tjFO&hVxaa?vidy
zlELP5YkCNqEojAgJ2m2@^kGyb_){=uUDA}i5J17$^7_IPq=$JZV*nEYQ3H?@4pK$r
zmJHBOnb=!`Lk^ht9w^T(Ej7Au;R47SVApy`Mf&-m`Qpf$y1H+La>d$1(_v}j-Cd72
z@pqlgbzxystMPWR(GBj8JJh}S$eW3DSBe}naV}g8^ys(=FelbP`cQP}{;Q6f*zXH#
z0f$^KJ1MUf`|a&UZTR?8GBXu^PmMOsLJ(el<#f^b=@HO$BI6u!`0yna0`WjrXM$~2#WA^@(G_fq%<)M6!hwGd8f`z_*(MTofd
zwjn&WPmYoxx~?=*&+I>OAru15{kA5Hc2?c8Uhco;)c_!
z-ye(qonC0@)3~+1R$Q6Uv&I$V(`B81EjrkMRKLM0vy&rve?)R%qJM);>?o0K+QjqmTmG??m!&q3`
z-Rd51+h4GXA|B?~X(p;j1r-{;Mq58grc{n@>Hm?Hp4&K>S0K7d*`NC4FxHIni+zeRjPz+Hoqb__g%iH#a@^)+Yk3Jd^CN9luLwc|
z+VbHM8H!a@bpfwP86Psbx8c)6MxIW8^ICUZsq@G(kZ_R-8sv(e4Kj+0haJ8e$Pgvl
z49a|Xq%^dvu@BXm5D-Qcq*C{)V`6dfsBI!mDS4N1;-B=DVcj`>L-8NNQyvwpOgpTi
z{C2dz>zH>1Y+`|qt@-Z8j}GXg93U|lwEp@SZX2#}N7^`8ylWM<&9Z(+Fnza!P-A+q
z#xFqZgt%h_8?u@nchmcR_C0cZ-dd0W$ou;X^po3~EBU_Ub23o=7vKS9OqS
zLs8jS9D_he=Zgc{Pr+zD4LTRqh3h;(9*z`QA%5G*rgs-VQG^S1LJbx1p@%gVdQpD@v}?EVXAIih4${TIy4N_B52u6&&R5Vgz-O`ghNdQp6UU1v
zLm&6=Yj#)i-NF0ZvuhW?8uhTxPw85Pn016cieit?L)6X$qGaGe8^Z27DWGff
ztM(qC*&bJeeUM)L_pkRBGuY1@?xfI^j1RAk?kBI71dXfG-ez^&`^+%45SUO?W&E15
zc$B-(tL50(SM}zfQBDrYqX&1k8BNRjBSs{yXf*G~79mur=&-n0faB;}2ztSsUe%jUqR^%Zo5P23BH$+RXu=x8J%W+RduWO`Bereo55!8y7K8f%n{y=MNqOp@2YK7d4B6gOU|ZaLd>t?$M4gAvgFS#2
zWH|QkeA+T}E|_6D=Z|m3}ixe7&+}wsmcJJYk^`c5&}Sy7_#B}
z@l+mxHUyB%-?;P7w-sk(sGz=aEE_x88tm6;;yDEh^@F|R5S#{=hN!&CBUZlG-3dnG
z5Tzeo6uI>C;$8|^+=rSl%2m;O00na^hbKv#=joriP#K`g?%?EtbWp?OGqF0+r}x$%}o;7bBnW*{fG}Jnlt>CsSC1
zis_CBc1PU`YctlSnbUf!bD5H*Ju)iF4j9KE!*>2y@>0&H90)H1wiSJSS9jLy5j&6)uraL2)8E1%a+G~X02|44Ee%uhal;?O6-gE
ziz}M@usIT?zG7b|$30(%fZ8XdhiF6uk!Q9zGFA!FX&
z-j2G(!ON=w0q&V&9fe07&Pa}3!kT3Ps5;scjWaf86AZ|m_^mXc{oW7j*^680V
z7}fx232#>>apTNN79^23WAk!cu19g?Cq2$u&#!iymEhOHa37a8?lN+ST;G+&aE!l6
z$%@UR4;R42z$H=}7`+uAbh_g&_Af5|{5lWBK!zP)eilY-DW0LgcOKlsh}eC+1A8VrVsuJvh}zXk2i7b`vcq6vurrg8v4
zLtKA~`v9?uPp*1xjtl|`Q^4&F{uQ9-qq7ot)DXkop-+Sac$%F65i1U;r(i#Q-EyRBhstra=r~*-YlUM;*egN8y;nAT+Ks&L5
z6Hui1AAb!E0l%Jt$_{q(r_dXSs)FtbqtOfhd67yYAKy?QM)2SXogeY7()_1YaDmfz
zYStAZ13Xj@?y!e;&X9V`qIPTky~f)T_Skxk3bH_jmD(nGhOsF2-HjkECw>!r5-kb3vb7o(UHm--9|2D&t@s
zYapeXsa$Fb@0@WcbA)gM$+Dw(j9&xofg66tN1zyI;@+-rck^Zho0rV{i5PVe1A+&s
zf_p%|3_RAvi`B~gZ@4oWk{y7PqoJ!FGUL(3+sM|&
z9%|v=zJ3k0I8HBfy8!qs{Lu}mfB7#wX(J4>-g=OX0
zte8{6Q-{d>31qXK?<-?0o|u@hhk!aPMtR}mFjP|!_yvy`=CZ(u+5iLppYLt0Ef_jD
z`i)C
zKkDxwT;S)gN&h@Fk%<7qnZs1=(ivRI-1_8Y*+Y+^or7kDod87Lz#O2_KwM4??2q
zN2Y$aZVKD|Dz}0%OR6ARAU~49n$YzC^jAww1dgvP}){@^T1fYPgeDZZhFkOa`YUCOfn%2KaFKoarCje%`;Ed+%{H7z%gj*HS
zBY-#u=dd7l6S6-3kBDp_;`GpC+Hi%sx4Nm@*;!d?NWbYe`X%(a!|^0Ioe9i$2yj&w
zUkIFqy%fQ|NW%&T@Yq7BEJo1MA31lFUCp!d6wHI+XPkK$gY#@OovJskf1GP&c%?vy
znbZEOphJ|Mtf;4PsMB*q^d7;XKl-3%NV?hqN7IT}w_suHR&
z{Zo2;W-pK59zed|poWG}|6LR2l{s4PF7xaDiZ5SYtO5>MJKCCZKt>T2`Itc4R5Ql=
zNKb|15ezrarr#t8>lUpdH8fZk(UoSO1SJw+9{B5hqE>+Y#`NDeu#+VOz8Jh~{0_l~
z8kwv00Z*fXz#n!YVDK0nMVk~0ggda=p{u+`CGd~vJ=F3U?PH3%KziJq7q)u}J6TpW
zR=Wwnqncz1o~z(@HQ1bZ@SI92C;VsNVp@}^)uN%Ha0>qvK(>gYl^{(5UbVxy{q~)5+G(iKk&~**xw*ST@;yMI1|{%!|;s``gfxb;~P!=PovfG
zjb?+52^x(y!e-hC96`q=S%J5dn$UJ%&3`Q))>?$#gl?2W@md-KF)!A%@SOnMvj6e=
z7-$O6OTaVMR3d82_Msrc04;WZ?*|s7SSFpQHMNx^EUOHHsV2
zK9vypcbh02%wp==2*`#)oBY~;zK&U5jo_#TAhdvAw?(fL807$eFMc1z&8=NnYp_-4
zU$q3XV6w0Y#ziSWK(udsA&BNcUfDRkWSq$p6$%E4L}XzET*Fq_l`>(TWTvE?r{TDW
zkln2OyJOrOgHQ5M6jOj+P2l-*&{<6R=>5DcaZ@^>^3O)BGOf6X$U_HpxL?Q0|7Ty$
z@?ny@YXk;R^S5?@e^UtJB?Pr0Bo$_9`xx#kPa^?wg9REDRGGWR58S=qM}OEoQl|c4
z{sI3htakH%vuP&}&(-jK7ivc4gQSXZ&_2{DyDkzlL3<
z0nh(nL!-;w2f0(!kNgB+BNr@pxS@jKZ(##@HzKJ*@d>Raur_6^UV#D?I05OP0)VY;
zCj1HtL{L3JSTQH~XGgL@
zT*N;ydfj9NdO9_`bz~|>y#eA?`)ZG-n?l|9cIr28ri2$pPZ*yF&3$NopZO?jrgLo
z$KH0%JoEbM0W~IMHit4(q!9+mrg+-U%X?Zc3SOO$#EF6fHpqt!!Az`i>(5rInfx2W
ziZwUi52scAPk!Gx>$k$?Tz~f_jHNQzSNjWnzQ>5FLm5=W!4EU{Zd_2Z}8R&sCkGb=j0V%ZXNiat5A&85Bo1Z^~Yuj1s(8}!4
z!Se4Ti^>eUD&Oz@Y%*CPRtVd-EPX_$!es1jLr(}wrsnkWT4&5{p
z@z`qARN#-4SJED{5YXd}XzS{pQU!JUjW1$=zlFury*5%p`c@Ng2lob;S;T!>57l)X
z<%&}dVS_O%<2NKUm!f|o%lj8s}yPCRs
zE3h83kv#|R68;PhWP8}&)s^uzoYNjAHlyPfRHYl{JZ8YiZMuM$YB$H|%{jCL!f5Zf
ze&LNC-{}c
z7tS<$9z<$UVL68jczf+u_IP_c$9ly@ysz*@M@N@j6zCX$wWjM$6}vofzDEad>H&^6Ce=NbypS#h75
z+#l?)fs6g?8;Jk0yR&5v2U|GHY6_5SXg-r*=N_upC^Q-S^mU%loD3#L+FV1Cb%^a2
zVa|sUdl8=mFE1}tv7Oo?!4kn`-26-s4}q%$LpkuSL3B;KR1N9EN-YtkN|?)A#`1|`
zUyI&}QHkTgF;Y0(2Oe8zqp_xjhVa(zyVF;pt~+&12P(lRiB36!n)TX{09=!x$S$~$
z{$}x`_!AN@P2fVd5n(K}P=P1*S@;3phH`b=UEg0T-qMADPei_frS6e_Eo|FDg}cL<
zD;p4A89>;iuG+z64mt51q?IxPxd{*ZPuNB92BxrEq1NMx%82(JYH=7f(
zHk;TrjL)kq?27P#*TNn^ziRI}r@0aN!j%w3Ozp6U>k@KaHQ?TZu><)YBBf_;^{+d+
ztL;IdnzY#&IKs2}{e%4)-7uvL*1)My`Q^)(&a#Lm
zTssYvFSs*4rtLwIo&hj48&LmYUs3X3AO+X-Z&$B{G4GBb9el+69x@^9Ib`S1caZ#9
zqbLezg(5Q}#%$bsq0t8j4K
z--j8|LGxI(2|M~5P+aMP9vzXLqo^f*URwsdLj{kLAq?m6Y2>r;6%R!TUE;X6>Rp9=
z#Kj!@GQa~!1%(PgdxzVi!&&Wta{^_PlTHhuoB?$cIzlNMma{Y{kVZyC*q~Sv5y<(6B%7Ka0(cvd(bys+ce`}2qScZFZ
zOHTl^Zw96OwzihsM#@os)10udFbW45rVzMJGMv3rQdSKS9Her{vryD^{Gvv@OxgEU
zppc-nE#dB;AZS4H6TWg4ST`JcZUbUpWvbeO4nxp*B_U`-1?q_2!VA+DfTzKT(F==;
z;s~ehh1oGKfd3Jr3#zr*z+3=53Pd
zOl0&z;OB&jB48&~KKr(zv9v)&08|w(qs)%#R74-X+sHoliGzu{Ujyc9_1q8McYF2`
zK)AE=Bv3i1gc1CUJOs3m3O?j`F0#yrbkVc_W*y`-m?GNj~?>7!ZhyU6GnaHK=Dlle%Pl8N&L|sNzR9isQ*6I=q
z!mJEHA}*KSN`^!=(xE46$+(WSuKGE7jY{k&mHI4+n<%)a6>FKcp$5@z##R$JFtl97F?tliby3#bC
zuV&lD+S=OP26>Wz2Qn%Kz**)FF9XYfDhE{)<`vK_A+-!|s(BcSG7+Z-RaSu!hES^u
zPmWFjFiYB<@boD;-j60`g7JP4o~?`eE->EWICO@?w|vNlBErL4leV*VRN@p!4Q4{6
zeny!WG3BDu$07a$(%m#L?4&$qUjV5KBy~x!VW1-gBO@cBc&iJQQpl6w9QSmX6sX`<
zWm^5zKlP;);p7wk>Sh?&?O`v}5GJ_{E@xM7ymD4*?uBp%Z~hvtC6@`dIVIguP@=iw
zSauCui_kI`;DNPqT5+%NzVmF_Q
z)|J2gI}vYl!>YW`aQ#eGH+!dUYp&5W7hB%c>FJbfqI2(DS$VZd)>L8)O_%!5Qoxe+_(@|$aq
zb|I)o>QwaV9G4)+LDDU*GiQFnv1KBF_e#cTB9df(xjQn5Oh$%{A@aMWFdKS22Byf%
zXYWWL4p6I>d@k}52Y
zUQKM>^<--@^Wldwgi2Vc2I1T-i8jb)5!19CmB&$@um?pwkhHExi9y!Mt6m}xC%!vy
z+-quT>WDaVsSUz*)Jsr?oNWn=Gv7hXH(vk%r-65X4wgLDK9^s!>uuup^TOGZmAPI+
zNKPrG8H9B2)t;t*{~_tt`_Ra9c!tEJ9R1yuEZZ!K-n6fS5s3q@6tIWq$&UVdxG5f=
z>`Hh}pZ_6vJrsTPp#^7rqkUm(t8G%@m@nyY8e-*xPvb
zy(*+Q|3M3Rfqa`|iWi!Q=ask0!p;Rduul7?!VM^vCu$C4Dm!weOC0JG0U3*6U@$ds$pc&=107&_izwrq3eVu
zP)R0XVmrC^0vFs4vOUPO(@|&vONM=O;#rslNG=JUREY4S5|#&sSVk2+{s15$Yi`f^
zs{l~-wfS&fG33yFA|^2XEy%#|LGtQOV?zVk35KFQMhr7*EwHE)v297Q@=PWn(6$R=
z`$+08sdH+BFhXFz!t0L=7%XUr0D;o^bH!g_D8pR4-&7>*G$4alr6MX8s-{=%z%mIU
z#8PO&dpH)L65;$?rRWlPQijyt|>VdVN^jE0lfpZaw0%}E}b2m
zCmgf=`Pl8Y!`4P{c@{T!R?$%&mV>kmkIF&2-bF;9{m$lGtac}-BHKNUj0Viy-9N!l
z_>z0^!Q-zdfcqRB&50}?wIL!_qg*+}aaH2T*W$cax9_fY-|z;jF@>Zg$cwx3$gM?sCBKHtu$6kvLUd3k!>eW9kMn
z3uH&XJtVt%&Os|pB@H{^PA3p+ar~rV;XYlBa|Q%N*M4rYvG$O@>0RKAO8Wd}V85{1
zuh*ncuksmQtcUfBu_$5xY3ihNrRE$x0-UrTbz`&wi7*po>|sRbrWJdX_)Z5WwaJ`v
zPF
z|C|sjkLI_N53fJwRXgHRc3CZ^jzl>0YNs#r^+4;;pr-SOKcA1j0rxf_LHI
z6&l!k-C9y)eEF5cYT8WNShV}V=`gV{Bx1C5(k!(cL}6~yE$?nh{8
zkqIDWFNe5zXCbv%(*0=jPWNKozY$kh3K#==$%F=629OExFWvY!wc6p6{NlcKKM1hE
z0H{BK+WsN=m6Y*F`Pi74`;Id_8KfPbd2)YT&~?
zw*3wy1;98$#EXf=BNWh^X;z*mGi*1ksf(`Ynlenpv*={)_mDfq0svzEjsE};-88aR
z$vPAu$ga&=Uk;4u=vS+~9O5$F+ndYuDDSz0iKe32uCD2+auN*Ng&H$vu8+TAE^$tg
z^Tg;(-y32`3Q|BJ2G929;Bno{p4`wESSFst@z38vccuLM@l)L=@ZhyKJ|DjTqyKM=
zFM7`vf0;-s>|`pQ=Aa8sH(0G2R%NBk&5F;TKcgOK?w`x*Phve3z(%vLeBC-^%~h@T
zU#)FtRIim=|3x&{S0+5X`jU=(_}vp2J#odxx~8vi@!0s{)6>r~;vj95SR*!RpR{jI
z^56Mh^WsIn)%EK!CGXhqkQ6{0x&|Q7YxB0!x~>${H{VPU(rZ1LJweO%`U-|~{5InR
z1#vg2$nbEQCAoKR-=au}b$ka+MXdJm0o?Pq<(61m54#zEOPS>oz9i133M!7a@8W}?
z^G(6m@@RGB??<2pLvK$11F67$nNc35`(KwreWt*L${a@ch9wd=F08?E=NK*ml_d%e
z60)S^)RNL73oR9Pgy|VkXX8#1*qf@Wd(o^jmc0S{89oWqcixD;5AQlaK;BR
z{)-;sH_!Yg!OsycG)IE)10hn75<1fkIy3BV58%592vNHDf@dukek?(J8u1YibA6ML
zC%}yGzlXPgsaWHuiNAjBb0}y&=pNWxFCFN)ebF>u^4{y-IF2^I2Apw
z;OSp`_6tqPDH#jCA%5OzH_~och#j}yPeM&X@^$p*{s{KBA4%?Ck)Y47w^ZQ^;y6|I
zOrO+ogL(nc+?hot^JW=3q(I3K_}M)fWyu4|d5{GbYe`E`_IH2%=LExOAr?
zX>TcAs;KDY*1OT{-qa_16SpswkYbB>2bKrz$cj1ob$yF<_v)**K4Mg{?n5peq!xu}z}_&*xr
z*%yq4GWH4(It*`6$AGu*dj%!u|NPwd5PjYUW?uLsv3|Kd)qxXC>NFCEBmhTr89uKN
zFjMZ=SW2^!*%;n=V$W`Jk!H@$@oVE+XV%W~vx?7@PiS;^40X)cbY6HQ$u;-M;=~sN
zf@Bki_w&Id4=FUyqW!}`A{;j&Kr|UqQ)8SD|2uh#>*`*O$llutzb9Dt82xMK;5JuX
zl~4k;NTGH2R@zN_bwWVrru-N5rsT8LHM%*m37eaHmn*b(5!-x;cNK!ep0s;c!t
zuL#;efdfRuiVE|`pVM$2K0P^3rfuBQn|@BRFNc`o3`|YqSH%EP(=$uhxYZ<}xzp=@
z4ExU48{M^!#vvMaqr}j&_xkTz*0i|=c!y~Y+38<;oduFSc9-@U_0hojkdrkRIDE$B
zqx9A-KffWLLVz!RNO8JQwYRF(DupoRBHu(Vk-N>BLT6e48RQXi0Jpo6Hcbg|kmFASOu
zZVjvn71sbxF%9tI_pV*6%N|Cc6cqX9=J%CDSpmCs0?sV2pZbadlUmtxBT%`(a3^47
zI(xeybnO<t1tS?e0aNG!zh5BKoW;j@V=#2TT
zS6{FL^DFN=^4)(w>ByL&k0qp=KZIf9GYpuZ2LUDlm@>nskwq%3%xJXzhiuXJo=d&2
zZruSZZ+|)%?BX!}l7ABmc%Bfv_7Dd6;oSjr_SDg}126xy>Rb`3sC(;^<~ZLy*PiB>
zFKtGtI(z<2r`*#0TYFwa7kdp}&#u4nlBS3$=1r7F)8fA_Ct~xQ$#>lXLZ{N+VnB2e
zo+{J~_;?P!TfoUs;-D7hS_7P9$Q*hR1B(ah1K2GZ=rCn`9lsQeEwNe+uwgrm){OPiBEC3t8Y-EL3N&uCBhAi;0bG@9X1H{j;^P
zM}!%mUE!bSU?~RoqH<*yh4gJe{W)ddeNVV-}6s?xDR|%(a^+{|NT97A^0_R
zOX#1mBPhcJ$q2qnjslKk2`>~5isWeg=RObcj(;Vj&!F~=VVd>e)p}fpfE?HBfh!&Sy#UdHU|8L7H+4)*
zzN_B#M`~oii%CoPPoHjvVg>K4&L4=|m7X3?!Y@tt+1w~_$LnB8hS>k_H=Q9-w*$VI
zhi9^~?aiAPxiH|5fb==$k?c9G_y5@{IBE}eFszmrhTHK_c5~Es@KXz!z%BCYsQXJS
z_WkpFG}LSVu8%O9(L??F>uAKWir8FRrF>ppQ=^mbIba`HR?Q-B7|t0nRY`q;ZZ`5x
z)!utjht0LlgT$813G~7Hg}PWjx+Z$%SKG)@xtlcqA|z@=<*Zvk?~;J}(DQh(gZVv^
zyyDB48#1_SQ)NcEeY4u3b-J+%yz*6n6sY(0+wFgxq*TcM#<&J(@7vl^>54u?2scgc?nC?GQ|cgAyi0D@ft
z=>D7oXevPvV&fdrdgx3itA~4*8m5wblRWxHW|JBOvO&T-lY`a_8jgU6yUyAKD45PJ|S
z;A9EsT9|hiewI2kO@^oM(Zv*r%qaE+j84*nd%
zoIgH3{=xwO^>pB@T`w@iewpHT4_LeAVAm5u*dIWA&b@^tB{wp}v0uLUUkk8f2Z;%L
z0AfMTatMnANpo1|Ogn<@K=`8pd@HC(^*g4693A|^&5FR80fA&dE=4pDz+0&1_+=7H*eNIeNC84?+)F6^H|6CV9^2(e?2$uFNmvRbITw6~f)DjP51U;Ub|!ml>d{WU`AnTBzZT
z>XH8=lxtC~1tKnRxktP|sPEVUF#{>1SHO<&!cJORVQA)~4+8PW$c`bqprH9_$f59C)&NSCLX`7Mrk_MAwBcU-hd&7*zr25IvbC$L
z%X$awK-g5#DQyA2IpYDSnSoN+)Nis?LReJbnjXfCB(zChV#Y_8pooXc8btcx_k;
z)F#*~zr&{H1GRF-C}gkzRE%-{ek3~egQ@_kQX>u=K;>%VmbK?#nR>YbG3b<*-)1-*
zeK|XS5VIm7WML7FgYzomb6dUQx`EXwa9mH|`0VfUCFVMTYo-~iw`HJSBv|EyqvavP
z!B~dkWhQ6j4lX(KwnJy|A}%5_+I}2{VASQd5aghlAnb|m!7n1O-<-at@?lIKm-
zkQ?do{pKvf;Pk!jp75=*)Zs_Qw^qNWmY>vWNe*EKRjO#%b
zvDO=yyKjUy6xZRjn@oV>-MxtKz`0Q=m&VXhYIx0a-68P|;O)XlLB1qKV84mndQnGT
zIA(IhccCrw(yFMIHHIDWLtFq+Aoros0o+S)<>{@49o8O1C+MhC{-5fuJ(|kAZ9kD69ZX>)=j2eTP4tq}kWO|)=tN&-
zvWaraF-h%_4mx2s?J`2jAr%_uAvsn$OBxX&Ob%f}nIYcyy7$biZ{9z?cdc)&@1O7a
zqqS<~@jSohcewBCzOL(j9~RgeQ4t&>%8;|X&upFQsQf3|AD@L?4WCu6n8vaI8uAL1
z2=#>N5t2&AGVGs-c}pC;=H{2FQsA(^2b#!*tuF~ZjZ#!tJ4B|lWZy`Olcl>I+
zljpe2V;EH=M)RemBm#{8>76TdFVu(k15p#Hl{2d0LqqQ_E>^G0#x^Q!1qOqjK*-9qK21XZsX8!*
zE$hB%_YW7c(uayFxuVx>lrBl|7_NvGm$@bQu*Sl|_|y2Joqn$CE-kosH`?~rl@t3-
z+av|%Vo%^G0QZ}psfLZ}d!RTExo~AR6inCdmK7DP_)?sixwIcGsMw_=4npf7*wK;j
zxw5h{uW;U?k(1?IbrU813$<1b4*F*;rwx0w$2e8kck1Y-g^1ji7v02ckr1Y=GlDvI}Nel$!NJFy3MrgkP}f2
zvDPel*m>r14A*@`-(;G_9>Fy9w~8E`0bk;7c3*bsXJ?_c2HKgdJuCmpZ33st0**YA
zzB@aIi?>4xd3a*X6Z-G=@FEWP690Ow&dq^{Yk^0SQ{@%EmX&?>t5U}YHL%}BkcXDC{v?2$02O4%5Dt4B=oZ6d4oDP
z?&OK$`i{5eD9sZAf@m7#*h5<;wqyM7zj)&uC7;>eESxgbm4^&cc7}F+?O52qDRw?b
zPh)S~<+>mC9#GF%HT!$3ZS}wJW9{ws6q(Xfx>W1Kz}nZ7t1<=N@f2#oFZ$fJ3Y)9D
z_BiXUl+5*KUgHbX)=3lE1mq%qptjx~m5~y~oqX$e0^d)7GiY;$(tZTof1;nj21eK`mwK1IxU%wSUBCM#
zRI71bmylbEQ_e&pJ9geWIAydaodpJR1I>*1;V(m;7WvEQDE6{V)vPQvDYZba=-`kA
zSstU2qKsBR03)+BCTi}_)y}@@ToFZ|1Fm~C$H@9
z?@#kGeC1hXD_0(wBCj|{GuZ^hAxz`w`sQY@kgZqc!SaB;&E8%EP~Mi}le*|q-*d;p
zSxjBVX=mt|`GMeUz|PZp^x}FK>Aq;`6z97t&aBtKL`eUP-OtKuEg*+#DWh)P;fsae
z%5hrWU(el?t`l!`tntZ8r;zs9$qvsQAQFI!Ea4R0%N!)!jHfLRzR0=9e{^QgK$ST2
z8IfzInswIYk;mq-L-_+K#tBWQ76)wE(Qdtb;rd`D7lZT!-6?*8ni!3pjI?iPXTKy0
zASPZ7QBtLCs~U}AJq{7Cw!h2w-iCGh0UN)6mgloLJ#@QKkZJ7g>%%$RyOO1ApI445
z`oS98`cAe9bYz^8kao}y=obytvHpVaThO=X4^7jpwAmDh|X
z1~q6ppXB!zZ|isTe6yn@F{@;#6Rxn2RrnAJW%Pj3n&v-hQVm}a>L8&#qD7;
z5poWoYHNUCu4by%i6x5TybnT*;$>H0>(tvU4Hri5Y`GY3Gcp9mmh4W26s{a0O!ntP
zGK@t5<;^QVVfI=@2xE=rpBXC+;VinxcdoN|Ho{yKVe?=AX{rUoXn}C+Ee!MkCv!VH}Y5%pg`j#rjBXUOOYlX5PebPZQRj*?&t1L5n?lU95kid0w#yV!#H
zx}EO+_uq+3Ij)j}S7wm^##3&twBjuwKDy2S^aFptAAZ6j%}L?sw`W2C^HIe3w
zUX-gOvzU@*;fRP|;Mq^2Ci}<0KSZ@>{~xa}{Lp&Q74wQRdi(nN2O>JaAGA|Ma5+#g|A8X21x?P{Rcrb_H8m?RTcF{^ZhN~#!NQX6M(S!9;An6tX@v)g
zYd|!^%_Wi+TH^54g?0(Bba5B{bCk3e4mN72HwJ-$dq@bwhil73v@#wmRdMnNk
zuYox{uL3x*&pSRJ;vP`KU$=llQ%OTdSB@g4n(+G1zwmv2iKri|N*8uYSIojbdqAp6
z8gN7|V1CW*shFl>4jg%sp3pR3%)WNiNUd_NX^nXqhh>p^2IZQhGYL5Q=
z`+*$ezAS7e6sTW|^He#+tA-`p3-;rq6)u*8t)LwZz!F8WA4zN$c+LCzoASXYJDiG~
zlRdc4*S7%{-Ji%_1JVy71Y)DtAXowhZYPO`gD!wG*hNrOjJE7T-BEvj!wB5`*Pu1t3o^rmKmXd&gRRK_lfHCnQ5!m{gy0pdQ7^d(
zsz{|bg{Yi5N{xeB(H0Y)Mbr@0+xr#3!>a{h5GJZ~kdSbG3&4SlzlFtNP$S8zvyt5%&z|&c%t^IY!AI3d
zD2__O83O?2;`*8af
z9Fi!Anqm*a0)iQB4su-I69oXI9FZLoTn3L6lCOh#*RAJA4x}kBQwDZVB(9CpVk
z7}LdW!U-7%)Vt3AU9|)!ecFl_sHLtq4yvlMP@S!;epb=Q0c-jtw0Bi@&o05wKMM)B
z
zD6(t>H{bBinXmw60DSz+o|ox2u^IpeqO}029k8T6VUxDz6FC*g`?_#*+97JHX*%fB
zbU=d5ml>|M<^x&LNRaQWz7acU+uhmQ5p6C|?{Caq=g<)5a|VPRIdVXydo40PoM;K_18wy@=pRwAKcHe?wsHouC(^68X-UD+_r7Zt7)6Kfx!G6Lv
z)O_xaz*zN+w6wK#Jz)WniEpK)j3wTnw<_R=%C30{Z>H2J!{Fn5V6TL6#ydGtRi`+4
z8Y5XyK~jMQ9y)?~xY6Vd65|v{yIRiX?oP6T1rmalZjXGV#3oL%<#7i*o5U~r&s1Cy
zlkv(z7P`9U>Iufmsi$0L^0;n$X?sMGD@OJY5D~pNAV+o!N6v$8*jkH9!?;jnQnDkI
z@rA>1)xHobQRqO3)lI2|ItM$G)1z^*Hm?(3sYoWdU<&JX_4}Qf5_8MuEO2;TAmeog
zVV}LQZBb`U7<_Fcgsi9g#WnJctq16fhMm~a3^OMpZ3zp}Ui8__kTzE8gkUPCU=r-*
zJTB&v1j{L6Z3`E?LS{i;9y!&)(ZNK6*vK=ct@!&$vB+n)C4n~qfG-fO8IG4pvW`xl
z@L2se&yU>vvV(oWyGBC0tKR!7AghF1y=2F}z8fBP;(=*40AA>GcQlcSEY)wSc4fo%
z6sfUizXH#Uj(3;{R(tCMA0wo|)BJb>#&i=`xWeb%2@YYN&FNzukA3Xgb&NbG31A{i
z5fqYA1d(-qV8-|+~d
zR=WQ8G133U&9YNg1&90*iV2_M|Mwr<+J8ssp>f!{?5dS
zO9Hd`dS7&{{Wc7&|Knyr29>k8S0iOoGh5ttke%`4+Cy{?ZN;4*sFj}*xwvM!)26a_
z+3kqG
zqEAFKVaL6*VW$syO-qQWH0~A%-0&p-4BM78TGak*iGawq$yvI?z9np4#SV@VKl*e9
z0`F!teQv)SL+#BH+cUyHIyU-npY=ff!889x$e%+8*WUZAQKFahNB#{yX@xe~hfO9$
zCMjN**#11f|HH?R&f#4X^>-5PPV`^X)6?S$EUWIbir2^}tgmO1JvF{fL`hqjK`290%9C>-})yXxVJhj|%dU8f7>Hh9K&pIP))MK*iT_FyG@$P|_Bc=vST}q~=gnBHQ0?P^!H)-k{!z=&H
zZ`bG+@Z;_)`tw{qaDR3lC6&UmLz6oO7Zx!ZCdlK
zvhseNQFh;*{r~LjkBke;_KtYt>o-3=|FjWbS_Ag
zg+V!1Deg_qHDrik@{e)*p_$Y>ckZxxNj}JXz0QT{x|&*=?a2Pv*jO8<#*`N4z~W*_
z`c=!HY}|9x+M3a;_)!uApEq`KPLS~==ze1hYz%8Tl0=8vQfolCx6
zpvyB-xZ8BonicwY?&PNv4bC*RF;+>_dHPm)@W~>QqW%4x2$0hn
zv0b4q3-0-eS0c6ySNHUXmOh|D;XJdW6ie3p6X4V3C5STiO4V2;b=@
z;V9PP%k;vLJs@(VT0!<@MHjA5;ZAF?4EqxX)}O`fp_zT__CCzZMVcigB}vK3@^W$A
zYZy4hI!
zL`Oy;ymIA=l$6w4#+1jC%?=(|GtXi+l%h{q9;7dtm66f&#kq<_Ht)+LxMn#HZ^hc=
zj~@$v{MZkOn9(GornWmm{%Lgd5yX*@#m~}~cM`G6u|eW4A+ah6TTm$*1}trC#)k75
zV$C?cin+waW!bjSnK;V&OC53)W7W{mh)I_FH}|ff<*Rwd_i05p^~qqPZCJ=4s4fa(|+Lytn9*;s3+Y(J@GTak^q|hL$5iGhNh)Q;r?^
zdNjeT=lj8*U0wHg-~Wcj#mmb(H`gW3zUAp~jhZR9pkPsHDLuNfqnJmNNmO+7(>*7x
zhf8@Y%us%gYove1KBTF;pWd6hFh7gDj#5943p>lUC9l)Gvaaqa8lP_ob`p0iZ^iaI
zUZ)BrDQus8k$AN^F5!Z%NQFN=p)MVEnr!3{IB7wn;qqwZl3N;+>2HD?(a8F2{m;+q%u`
z9!*t+F8ooZcYt|gtVOzc=ei8*f&DBVNvWxq1Ok<|D<1M%iy8o^x@nEskI!p2vWR}c
z!qXD8*k4|19h=^{bLUh|Y4w)hrPAow7RuVY48qJCou~3yM}JkxdPyC+o2HJcO3HP?
zO=Ko+Zp4;3uuLLN{gA)ZmW@xaK}Zt|V2G0+ZTLmUs}l(y`V^;Btg#%<=SVVxdLaT!2O6_D%|YnrZ5*ZcbcQv
z{8@0*hW?(!#f#U})pfhdgJY;=+FakNs`9^lSrh6!b3`J1Grl@aJyJee8#|h&j&=r2
zu6@8bWQ&i%Io>Pu(mElrns
zD{L8ss{lOJ}2Lyq3@&j-AJnI?&}MWja{EWE9vd!K<~vJ
z**iGglKc1%)?BuCU-ky3q-RXPK){vLPxiEQnvVpw%sp1oa`FZML6N(E`d(h%nT@Ps
zr2zN>fo`O2$Q^$3@%}D131B!B4PM@dw7yQPx#(o01@J7Yh@?PZ=U4BeQ;uT%UT=YA
z4qS9^+(PL|moYUxf$JberJ*4`MTTu>}31cv=I0S%H#R{o6$D_j^(4@e0*(}rMZ0qjLs_ChN&>lfXO6fw{#WO
zI7RU@sxevvDiP{MoN`9QvS`f&g;?rasv)}bvw|OyT`2It1A9&~x&ly**op!q;|uGI
zl#MT73%j~2!(+)M0mkPr!0KKI_WU_Uk!
zI6j%Xe84((U3ekC{ZIef;FWVjiwh@!qCsg|3ri#K-=}l_70%jp*ScnIF4NG%B2E3*
z#Kd|z9
z%{=YzIwRy;WMm{FrP`1mgt=g=tmw$2?VMRzS;#sr^q<_^d+StCX0cLA+CAy+@qPFd
z;0z{rr?D4CUd3-XyeP?GaU;xgR9E$7`
zpYGTS&SoYO3|jF{`6w>S>OjyFub1J)S^rlv)@JgCO1*RTIzaG6?u?%cV|g_%Cb
z(PDOdC%=@Vj?P0fA*nd!cCE#6EkTVU`>gVlLz($?Nw=?QYAPqWVZTu<(e@+c^Gs6E
z5{eaMPZi|m=I$9f2OhZbd
zLKWYf^J1jZunQ2<`V%>GJYd9^*dEaO3Wg?Qh0o^9b)KlpusMOcsAFjO?0TF8p!4$O
z%Mo03O;(MZf-2MooD_(3p*eHp2>gebI
zQ?y%WT+`B0QLB5W92>LB@WW&N$2XT7>dEWW@`9rPV4_4mI!hN-g}(k8>m049SWp=p
z-_y1Hg?#kq!otTfXTNrh^#%yKUyG%JSz}9;+_urLD%R!UJaJ+SYxR~R?3BaATbzhoo(C-b#ZK3piIn=%U>!;=@tlLSwJ~he%yC-w1GlwO)$7vd601aZqv*#y&cnzVsp;oK>b2!+&^SpX0{&kdJ6p_
zyiWvSn{1Qk_AF}o>Wyf1Kxu%<{43J0mdPL9b}6cgkDnhMMO9t>Go*_(D-_4&(G_)h
zZX{n94Awz*tF@SH^fSrUbE9;l77Lkco{Ndp;cL0GD
zem!mr{VGsB!fTP2oQ&%cQMlYg?CgM^a~WS&Nc|JV%i`zd!78
zKt_`Z|BFoJ*swkk7LV0W^7BGYIdl&U+-k{ovYB%R)!xFgc1fo`c7;T_jeC>H?S_xW
zHuGYk6-BNmvM+Hm0s;Z_=^GeaJtli1b9mXqhYwNpUbMB{fJn3E(OC}lolHzW@>a95
zv3QJu5o~gkP&!zi_i%NkRq&%nD-ryMx2?lfL7Is91_6*gu#DhekUqnQ=0ePn9+Z`p
zNtcR}2~Lk#_QgnmbQU0A&_Sf)abJZbH>Lzr`g9Y;9ZIoE$kF?!PaFGZXgDYx5HegL
zIZTTQH%yLM7Oj39jqf7O3T1?pCY@w3&&ucQ=%xpH}K`OQ2n`
zu;7JerO)>jXu`HHE=3jm8dAe;C@k*o8~LQ$(Hvtszv=QsKa08^_c%{mj;^9?>;)eE6lSgv?qgt2Z*YKH8y4SzvlyZI~<_SoHYuV+0>tU>UZ)r>`&HNWfxx^cF#?
z=l7!l;{G9;1F2?d77bWi^w)BuLy@8bh^NZ=xJ*w6xI0M1>KVejaiWpcarg{~SSlcF
zK;+9yY}N1fLAPJh^<#R&(J>!*B9rl*if^ga)gO9l!{pXrUGCh8wSQMRXl-#=@whM5
z=#7M*rNsreV%@*gk1KF83a&hjwE289Q97{gX5vnNsmBn}posKXUT+GNxKalY1`OWc
zlB1<`d%Noegss2SswesPsfGs;`)SftL#37HfGsXZoDGxHMgfH6lHb-k-9=Of^dq3;
zgjNQXYd7aad8mhxPfZ%i6$nb
zG=ShClnr$>_rJ_F5{M1!{bvh;Nmcptgf<@&)#$H4y!}C5>oE^j5zB6$?So(em)Oq2
zr`Sm!!x#>F2}M+T|4S5^r}yvQZzwM}=!RGly3iB)_w~5v?(RH-f)}B(0S7}qY%)P`
zdrBQD)=P?!*M|a@`Rn@?W?}O`o<3bGhE9jR3P}{51ndUJ1`4myx=?hV@bHHq+V~+#
zAbL5X6K&{W-o1)01?q`MXYT{AC@54N3zLYDznXXTT$r5PF_lMWQCaictTUDbZd*~7
z?Nh*PR$5GPCex0Z$whRA4S`iXib*dJFnUS;Zf+Z(WC&aJZUfdPtn>Nv=O8L1?+_Qo
zx_*9sx%zzHTUv4qH04o&au)h>pcdY6a@qq%J2xkaHlsl^Fflo_X$_Z{n2f9}Lyu(u
zcsTX_&&gTHKWJUxFxXTdA4V3tj+ZBxLo^a-k`eNNXDIFv2BWI%8kEm0*<|}nE~4E0
zF%{60o*n%@GAuUMH9kH*L!_oM{31x}Z8T7n((Pw~I3V!*1qF2g&mQ!b`m0X_1#qrc
zB}aZ=p+&{1i^If{?sY(T?+1kH-yCMqIg
zCA2<~U_HDA-JZbUD^w|z0F#u!OKgADLrveE9`AKI0-ZAOY&axVs$tWIBXNox05D3m
zI$S#y^^peh;ofoFs_DwHXbIGs_qsgAAPfKlAXue(W0AA1OM=?%8#nG(R#r;WeY?o&
zM92zS3yDw>k(gEXcLE-xabepbiHz3W4voIkVV!Yg+q$`&#mU8cyU%@6yM7&t4TPA#
zA+6v>i%?HZ)4HHOkYbN;f88BZw0|`WqV=z3vk^dh{qgJ^kMflP0JliK@>5)WJw0UI)h5qi*Ib&JXQElp`Qe
zQAL7RnUuk42tR;%N2cX57lIlj(rb|3|6drW<<9*=)5z#fFLA1^Pm
zgeh{|g?m9w*H6Blcs&kq2G&+}*5;*x)1tAo?2J`!g;1|joSMxy(BuppRC}0SS{2>`RES@;i@|NsYUH!
z>c?ZBae$!gf2nO{<&Auu7-~sq9s?2}nh%e^BCj_{_z~X{#EVx+C*`EMeH)(;cn|x9c_Z{Dq$MPg_Q_dc
z>;9b{Vl#)44lp2zjRnymF3xRsFvA0hjk~q5uz;$wojExrW%ao|%m1APaOoN1T`E8$
zgCFUDtSp1A12()3Fe#0!vQ=6ey@X_zGHsb*(3
zM41>HD^c0qzP6$R#K-L
zBO?!C1JS5~YQTxsuU`*;baPZy@#oJ(E(7jHen5If3*qs9zV5!I#_h$0`Cex7muEFJ
z8e)=@lM_y!pTGY;e<}F{8q^6`h~{%sccEdWInSpD7kD_a;s;%E6t^gL}
z&b%*QP^x(&f8>4LyP4^l%1Q!wh3tPF7N0Jbtv>w|lDCgx@>kq7;4n6ZlQA5f9jXnH
zP>t&KtYPgS1^q)qqY@GrQX0wtWq@jo{q7hWcfxLfQU@zFW|MhFQ_PRUo7R9JR97^^
z^Q84DZ5MRA^Zo6ghI0VjDuH!OyK7B0W}!F+2M3c3DAv7n$O}P}KMNl1_AN
zq#HUdG;8_%*fxn?Z2)&LDj2b7N%R{xzIR!4{@VFI=JXv?
z)2`OMhlZ`TBEc|B-_~TBmb@@}k{`AzNKl~dX|`b3M->eckQd~o4clsLDjs1(;u
zT{APerVIx0xfcL=;0dU8D1i`xO>^c2pf6gANP_|d5=8*jwY0R<4E8p}_t&4yd`lih
z8lbEaJWoVXlDCu9u2}C=mxC=pdJl@(e;+Xcx_Ag
zNQ;$DLtt$>)9#tCouiS%*NjeKLSWt^Ozs6m-_=3{e%vTi*E}L3DAs5Km}CIzGW4^8wx-YbW5gDEBC-he4P3#a=pm#(xx?Ct
zswNE*)HR+aw9D^^_%af|V6FoI2aTVfAttQy3agt0$*;g-CM6NHA}kg4Y^`5X^%T>A
zmun#MpmiZ#fC1s@SYQ@MY;O1*swxa^SiT^8$T)~j{=B!LYh-nbR`u{DegT5hCRGF}Xp1Cj$TulY^ZADWChsV)*Gl|Kp!Yp&}L9L(lauY
z)(2GTvxQbvH8x7Y1gj7oqlaDP#V%`(c-k%kEng|_W>OtoT;hn+;Aq|25;;X;t@))KHypAy*+1eVW)))6m&TQTjQtMm>>F-$1zHoy
z;!}AHwopb<+HmW*PB<|TD5!chYwi*E{Fg$m2yF1>igdYS%!lcrNu-rF}q)^q;0yB||Q-)j|
zc|8u)LDt1((KlNF@Bm@M$CTBXW|;g8q@-E|4vF9+RX5>_OHdjqlB@MZe}`*SRij@Hc$fjEER6c*4EIEZnuB>*
zY1s@lOM}TmKVOoc-b6=BYWU)6R;^m~%?btO!Xd9Zz8C7mS6BNzlKR=^UZg=xR&-XD
zMqHSwscDPi(_eO&hl&by4qy+leE>rdSrb@>#2%iV$7T#>42i-0!FUO>{KrUYJ!4IC
zbNO-xQKH>6*|c;vrddD?2Kqi}GpGv{3c!{mD;nsv>(@V_L;$%vP7NOmtX}Xz6GU7S
zp^MQqdO%1ZPBHq1L{gutP9l26g|-
z+HI6$fTQak0U+grXFfd-Y}K2Z9dl@4Cjsrg=C9}w__@8rpn&Jte;@P?YD@K-TT5>+L+caxmA0@M<1u0Jt_0lN*o
z)$dUHn@FlZ8ZaG3{&YA^8$Y@6i;023
z^rubHZBR%%pt@kzF51u&A0266)RG;1#rJq(V&Z)WY@mTe-yVN`HkSGo)g2|4jOx9A
z|Dew3koV=v`ufXZa&X+C_G0D?fKEwLC;2+kg`-jbkF$D7yQHg-e3%VF4O#J8AgL*H
zS5jEwc6^_7*=|Gq51;sBFz=RGFH-Y%g`wg>e!Wfn0^FKlp%@5(`U1KJCkAK{X^RNJ
z6jhIAnr|0*hJ7F@Yyuft_$V=e$CYYm3Y9Kd?1>g8foQ1;N;G3ps}rVhaFXOZ{QK!7oGbC!*)@$S992Y<8qLMx(T%uQLhR9?h^0dg*)n6
ztotJ_rFlO%<+GR
zT~NKDLZw*`Fb!o*vcOXZkfMG}$<8jv5UHX!6_jSgR((TBh`)au_yd+2
zavb_SNY36(+Ng^=G;Qf}T5@`3pva0%wJwJki9i98A)5&l01hXDWk#Yyya44*sDC?Z
z=Qg}F2B+ozdv1NIrY_Bb9TJ@3VN0%^pY@WiCeX-C5VS5!5x171+vtvfVa?97#$pRo
zI$(xG3LTFQ4_}Ui5(q5N=feb0wOJ=Z8~_^u&;{lOQUxCiRhmG5l%E-&-d9jw?_v%H
z^#(QqAOIEt-LN;AOf|fouocCU!Qg>JgSi?oTMUM4&=9-0`t37(%RKC};DXAXk<*F4
z8g3PrSiHf+NC)BuM{bOAEC3DsV(SbtG6DW~opfNZ21}6*jXMPfEk)KoIt%etTCHMc
zb`}QR4-8CV`l-!KNXWALg`q!s{Ldc+uHEV7nCt@PfX)7QYU-Cq>vv$3V(!O|9Jz#w
zPV+gM%lr;he~el{h63(gzvK9DM$7z02qu`*(B>jjBFxMk(7aW`bRf9GiPy#;ab4Xt
zOnRcuVF5s*itruTfA_vk)NC?Ixk7!369q$i*4`tA`$!xHc1#R%zVi*ZKa9{K<93Pr8gghSmpnUCDpN+q6q=&%z7u8KqVh)~tEKbVl(U
zfViRII`|+?GruD3!2h1Y2xu89>aoN`5XciOGcOPaL@In4BIZ*vA@P9zLyHr(?A`=V
zPyKii4BvCOW6TVMh3&&QCgQ}9g?i;g7U7R=mBYha#k%szbC|nw#|y{=cZKsrlG38H@L-mO>3e7nVqXF3v-v=hT
z-4mbOGQ{qE8Oz?EXa=gZXIi`5v{b8gB6ap|0Q!n{gLbN)d
zU|b%`I1mk=w2q#hL~wqE%Yubc8|;~UG80Hx5>bq5;W!b?9==xUtu<3{kWI738BuM)
z%vaqC6?0-jZ$n0){evQWYiulqkp}*xHFfF$Lc8(K@0C7lcHl#*U4Ctg{Q!2YHu;Wk
zOnN0B&VgJ6NDh`kHOG2moWWFN5If3?bcL3?k9p&A00Rs%AoVbht;8=2|JFzV!HI}s
z7P0*EB8wd{WPnr9cl3;nrIVfb>kDw_>G82$M9x!D@mHxr+>voSFLvJItipg?t
z+-~dWEQf%%G<|7Y-&<4rKC*A-*uxLIw_k9h3I5#TB&K~OstPNOa)p5%N3n!Y(csHl
zp8mlkpN0NjaP!8kTPs5=o=^=7Fqoa5{*2al5Hpa%!o)+s3Lp?Q9R~Ozj)N2EA!T!6
zRO4c?@Tj`XVvef86=+;!`Wc2M6mNVYk`~T9X-9QNaFQX-qYy%Bg;)Ot!y9?1?TbGr
zK`h9q0p!%B`Nn|2K$tmtW@f`a-{gS`r!L}12SJBFhRiI+|AYh(71gy~%ao5v*m+K<
z$b(hoXfGWaJZ4ffh#H8wTYv=E%%~T8H(}l+7$b+!t6?6zj)-_fgerwECMnBd-&C)g
z0feR+k}d&6igpTh885Kv2Yc8q%J<1rVoE1bwHBjlkQXpG3h6sqZv%gMf^uwh#pB&^
zH`>hn;FVzjpYC2&4{S#{PDWD)4d@9H;dd2sR|uYkS8@T}1&23eq69b4Oz4|1{n|T?
zn{{x=h#5tn4&<-|X@oR!8+;K9x}D;E`Czl-m^7K$f!4~TjT0KgXgc9Cy&f*s>Aj~h
z!i55ZQw|7!XadlCfjF!qM06~za0gL^44>5yL%I|tKHk!bGeRI|?P%sARth9NXYr(zU
zao5R+F=PrHd3b&{?6q>%Z5)m8^+i*~u;h;sAuJ3$)H`>MLb@drw(#4P?2>GTG$F-T
zU=kt^%EUTCpLe0vfGhl@s%R081YaX|FYIFsr@4aEOG%*{!HxMnHCddfQ&i0yRcJre
z(_?^dqtd!9MW~MZQyQ|4P%zI)zx=mjofseU5KvbkJ!l-3oA_bw2@fbt@-55iNjtWVS
zVCr*iblih;CPv2p6cWda7~+G?8(Gw7lCq9rkW4QkOZgezZazN`9)$x*@*BS5dLYX0
zLA%nl?>X4)vgm|aM|34fL(nTxe|E6C%yDBj+i(MMU4+d$*1(16j;uI^p&p3s>KWE<
z5IEtwD#^O#QPFia+^?|;##ABM4n$E^Rh6Nf4Rq`F5i|>Ge-y&j)HESx0)ub(68Y%r
zW3<=MOaubaUV9Vq+eFn&<9i@0(TW`1>CRWQL7|{ctBk!i=}M{)(?RNkNLj@}x&X@q
zLo>GPV7BNu>@7eVWb2wD#;gT%OO7_&H-V+E)A355|ii(wKN?Lf57bM34y
zH{L45QVDeh%ZFOcFO?Y)aY0FNpe4se!AcE`5NhP#Ju>-8SYJnne*$>q6nqGiYyR}}aCOyb-`(cJj1w6o*$x=nL)>F)BLpc`FJ!7vwu!114mjp2sv0R2v{iOr&7o
z;c}UJFGK+pAJ}M1y2XxE?ofTCJLGRj2i4OU3W7KV`jHak0L@C9tI@j5F-{p^tnquc
zbrRS(ATtt`!_iP(98yf8D%^=Jt_1)e7-{7KNyJP79cFte+Ba^T*$`<$|6ve=r^(6Q
zuzt)tzixMDITa(2;G~&+z0+GovklOe^Z0Rc4rl*MxyjUo1P>HEl=i7&S?34wOH*wB
z9Gc*hCN>04w!O%I!f<6AN7Njj;B?f|TxB-j!@SoIUacY?(9OkT$aFF=4pA6xjJ~1a
z{+;wtDgUwR;m{+7p=NTh0rGW06(i$vBrXvWfXS$5P^chG*|pwZEo3+PW`+|U&;bw8
zvmD+x0mWje&x&>TdtctXW<_n5gCNdmgxWiS-$E?nJa&xil3p+J29g<>{cgD4o=M?<
zHRCF9pMTXO6%6DFWrlG(s$qmm6{>9X{U3rU;Susjwg+7ZzY0`q7S8l8Iaz7tC7X5k
z%0tB~BChxXC43s1#F0CQzQFF|$;aW8K)kXQ1@1&{9UyJ3VF1C2Czjo~(Ul{+qN4HCPbHs}yy1Ulz*%Np7Mq%`k
zsLPAFkNm%jbEZU__p0&BxV2Mcqz&F|TDQmS@|g>~oX-xs?xS12)8~)=E9_0dnl3IK
zzIXQTx%6pZaOzi|(gkYRP+FI0aCugb^Q3SEZ+vfGAMc%-cclURu``Ji6BF|{OZ6E!
zRbTWawnpN&QL1}?>k676^v57y
zEoWiOgbH`QQW(W?mQL{ZyRctI=f*0!a4!imnOQhD@J>CA2Q#PSRhnZy`49Q|_+Du(
z&d}@z)4IN6S==lg5}bPn2g}o~`griWYe{;YZ^PYVitXqQt*2WkWjVvnLr;MS^_m{VerIsIyuvW~m%*!n~p#W)!MuG+&G(a$bAS2E)&K
z5R=ZLkj?5c?JVF(S5;QN#Bnw;6-~QN=drc(iDMNwgCaJqi$UW`9F^e{5cml>7fV$P
zU7)JDIfVaCjc&2$LFy&}o54nAtLm%Qk`0ygDnf!G>;Zp9K_3kiF#h`Lh(b(C#=&B;
zt2p>F|EWG3%NXmWDJUpNm@&|4baPD&7H?r;0VldJ_j91HCa&bmmrIBkIXCg*5LH3c
z&&;{e5~^B{Wd};Zz4g2Si$;0ndzKr_o#^Q
z)eJaz#Yb0Ld+*rKvJ&!9I0n}RYaveJHROr@`sAa$dZk}bg@7{xF^GHw6X3#ae{41X
zw3hw3$YaDb?m^GiRtP3gG(^*8XP^GGWrUAH4A_Mm%gsG4fqyn|0vcb-adtwW+snB`
zCUlbINpK#I#aQaGqCGb1&=L_&!Ah~px5j&^28M>0Wo2cdW5@%`ll$8(Xi|#yA|%W9
z{oh%Dv4zPTmz=e+bUTA7D=3t3eXJICP;+DiO>5#_Nmfn(IvBS_S9uvm&y#NCKYpi{
zavZ$|xEYfRDl#VrK5%NJTjnU09M72>Wh+i_neQ{Idw)>U9N7|?kwFGpucevavbq(I
z?%RcvJ)*6;)qtJkf|cXd{mF$XM9D}agE45Wq!Eyf-NndgU82rKYyggby#Q&=-oI?1
zF^v~}DZJU*<}Hf%Sa-OGUjE|^!tKv_zkmC?>mrWmmP0!^30NnK$%pvVAJ2NbK5FMZ
zc&D1U|ETi2FSsKgxJ6@D9?M@_lGu3eg;GVXzPd<4?RplrSw+K2$>+F60NJJto1yY|
z*OFkm`Cxd74`oaipzCLOa3DsJCizXDq<45;8HHos@svH}60~C`CZ_i$P3gT~?5ji>HM^)mbu=3**
ziC(f|!lrg5YUY@-%^9qSi;j*?pQ&T*8yc$k_Dzmy_inAkj=5%GSMZYQ^dbt^E?f$Q
z>nY-zopr8t_1I|1iQ83?(!gl2msH5zSoKyj+ce&#J`Kj8_$V{#iXA+Sq+2CE)l_Ok
zZ0ymculsr=s#;exNw4hd^Ig2}?Z!0EN55h(
zh2p1+eseJ^rrU!`rFQlwRm7J|D&q6Mfc*RifSsC&9U!0nmsd_qehy6)9WX4>M7>y}u%+c%$vXDX5
z9CHDVtV_MCgZm>j(Mv|;h^cMh8LqWGXMb4{GtlbcQH
zR(42-_f~y1QlVm}*n`Z@qSkRmcCFaCo&+LS7(kmjUf%JcN~UDUWpNgw4=)(fwN$ek
zky8Gi010~2qn&m=5x%5B2wVK@C^L1oSgKTYekcy_9j8a<`frPu)F2PFlJYF`wwIB>eT
zx%ms4YPyT`zFo_5gzKf$vJDiZpKOv=r_qL2XASDXhA=E@a
zti;yR?T8CXyOFLgTh9D|>6ok5++X$%b$?xOeUFBZ{5U64^Bceg15suDNZiG%MhADcw#vRDTgv4Q95C86X)2yf@UxpHwdjRmWjkqeAYxgpw^yWBbZ33s;%`y
zb5s!(KzRoSL!qh}RiG@aAR$U=@4mm9=O?+#JG#L^U30aGaE7bk|@=o4;Or
z2)ZoH^~PzU!(Kx7_B<8V1JF{MSi}-IJ=WzxjaokUbkjY2WMMJz1q)7_ywl7QxgB&D
zeC#sP2KLY^(w6Xs5&|&SqYS)GSSCWC7498_cBGR_qtW5@0w#@qzz{*$Tmt0^r+AmU
zFZGdJp*qxbl;I$ZZIi;9l9Do`ie^DB8x2`HP@vNf>GoC!2RqcQs7g2`S`67a07!v-
z`rOWRKph2@+w-h`{Y$Zbms}Rm2Bt~fW~NYmQSKNFHoj&9uPK3e5sb<26aQc)5)Rnr
zJ)>{FpZ5Rf-RM}PLXf~h*(X59$q1AlGsP9CvF6oRFYXylJnDU!0AReAYX0T)zTa=P
zth?pg2}tu5P5&i)Hx>5#&41rGCnM7HCUZQ_)T)G0&SEJah42$E^Cl}=L{`=*^i(OR
zJs~wUH3WU5i8OnXX#Tb7{<7a2+8<<5UW_*Br#0WJLJ(-AY-k9yPnMcEEz0V1XlN8a
z3bI9btdtk^h^O)#-61+bAN-iIO@{oIayWB=
z>plF9vW}f((0{-2e`Rsh^UpJAa}ofFPJI!NhY2%kO6PZFJoc5)Fm=a~g6M<<@pn4z
z&!2a|!7M*D+2{pxN`w?&wEnS3!K@=H>US?73>Dfd$VR;uc((p@ta9AfD6#Qq9As1x
z|9G?D8NpySO;#$|Qw1l0r>9@I3nTMookzW{W!aBAv$~8F>=+}J+o5GvQ*5TvqwG}+
ziqqn33xPbxGlxGpwk~JA1n7Y5CrsyrQ_mHwM+IyuzYV(un7`k3!4wypq}a$)S;CFb
zTL@wL)l)T=J(+dFb;k)APtm#IeE!8C^6{DpH!}rm;OfD&aW-z_
z`VUW8mbK%AvBh6ca)mIyB8x{5oM(7=_j_d}cjdXAO57@x4fOQn>PE6nhwE(oryh?F}w2Y^u+v1pUIK;b{euQfTY0A
zl9}=B4`*iV6Z#~zTWI5|&RGl-GLea}fcp}#$N6EoR4^^T0wlKs>j`!A
zUAy74g|*|BqVgG
z%kEUl!yOjuYnxf^(OYeEP5;2N147vVncB{<+LQ(GOHPz7w|qToaU!+#0b4P#*-V?U
zW4W87{3z8BFn}D`ih+19Hg);t%-!c&oEcnPBtwCAI7r
zyB0-bqpFo+yUalzJ0b&3E_pS^~vrbi~8OvARnOwfc$Wt%I4%H^+^9(;~u-P?L7AUADnQ8_>
z4#d&-R_po{ydOJ}L@!Fdv|aYU`#+Z9zcJ4L(EyOfRk^&C0rgZ~OH2HCS4`~exmhTW
zm(p`@Ld|WK4+9|*3s71R$okPncVP2
z>)|L)C~0*`=Jwf}kEDk%qm}GP=qt|q=dXo*R`d2}|I#|fd&d5`F^U{L{ryt!*$>0ab$W2|v#Oz?Az|I`F^Pp*B>l^5=Q-#U
z=v+jp{5Qez`K5l`2Vj_>4TW~MaXltqk~7ux{+6qdTq;NuM4mS(DK_Lg0z|9~q4apM
z!I!RRZEf`nii(Zx`#bc`#=ZZK#y!m}Rn`$GG&CoHa*@f@&aPGx>?@JX=;MAw_sL}blT#=Y}L2F7Y*>WGN;C?$+60c3p+Gk
zu`W&(2}6z|gS&4qcvEwZkOjYL!|ZjnK$@Ca<9*_bW8zwyT_%*Yv_efC+jmQPLQDBH
zCyv)qbYB0Y>xOQrY~?WWqaYz|QIb7au?c`CN29Neygi5f#<=#YaK6(BE-i_I<*apb!$t)Z3%iK3AV-!nhYsx9683P|_jf*&0
z%{-n)KDSz;Z27mA`KA`76mddJ2q>qUgiPWR$l%m{j=H!wo3l83onbXztNlIJj*^ZO
zAq3m<7Ka>ctANdwIhi$7hUa$Vzq_8yfoEnaLOTi}#NrES&`?3xiaUL^LI^hg_i`rd
zllWNw0w`}V$v8$+w~!`>Mc5>fUK24_GIIuuO-q7pnsNR~{=aTMXW8L8UjH!-naamU?j^Ea|@#Y*D|b)37ujic-I|n
zlT@&X)jJsmvOtTbrOUo$6D5+k0oaxwwn1d&?m0a#KBkTTp)d;S=;y!n^;PeLsmpA`f9&!M+-vzJP2`tVhJ5t%^u=s1
zG1JD>#Q%skXJoKSN?>3hLr)q+tN0Opa(i#>Ch^azIXUTBK%4*h
z=}F?VNxc(!jo*`pwx7fE3Z3Jg;P@tmtA{E|(Qp_@rVfyNLLk#}7RGxg9Gb^M{^RZG
zKLhR{%{|$spSVmt!DO{l#Z!s2mHk9jQ^}d3vK12<2=QKHFGQ}%OS5dboP&cy_E_)`
zn=RcoF~H<^Yf%mN=*
zbR1xv{-U~pe75%Y-CjrUO^D!0S7R-U^DSvTk%2^?CC?Jr#l-X#`XvvfKj?<;ol6M%
z%gzG;w!5EXZOx2j!}Mr6sD$==Qh&*eI++m
z_BWn)nI9*{>m4WZ*lxFP{Z7pPNfe9!X+fD!B>omT7BGft+<|gb0$Bwr
zwIA#;UQ>sL26N1Ax{niyjdCcNd;MwR;XlD6E*o*@3F$3_K@egITX0Wo7Yn29r6^B>AW3hg?YSBhtyW_qvjv#9iH?ZgvLV)3yJqcnqfnn=BRJ?EC1-&P~G(
z@vmQA-S2Ppu_p+>G4SAyN&XfxJtfhqFAwKdD6$ewLWK|M3FAncj(5jrk;6cFN;Du(|#%
z8~9Lm>sH5j!kzOr>fBYzqI={PSetA%7&n;WwE$89lE&dKiUrFxB`d(
zAvv)km^@MN-mDlNdOY2_THKF~jM#MrS=C(o_seK)_V*8X^khS|#zg%84?os_F!&Gr=t-tF;Noo+-CrmVU7VPa
znCsAk+q|R~0AfNmLkxa2s^h85zd=u>(QZTiAs#RSgq@H^j56>+q|uoBSr*7%P$A-V
z4XQjUf;W23Q?t>3%8^?rYR>w8xbq>dQoX0iq
zxK(#`9BE232$+cm^>L?A@8!)32C{jxiC8{;tybx2wk)J4Hr{X5U^S_Ya19<95++@_
z4JOI!iHCOv4B4O7JN**Ps+;yhFL{0I4D?cZvMldkGEyyznpCWOA#~!0ZlYsr+
z-TKIVnLezB3rGq`k(gefbUik^=lXMg#ITF!W
zFgjY6WRnpWL0S|9Cm%v;HW_{w!oK%OOK^^t7uwwuZ#9%LFU`PCeZDM=T#>3auk4(P
zvAmx%NXR?#=Wl#BM|t2pIxmrWaVNl9pQsAVCEbMW<1H8K0OpsLc>uiy%JrcTnAWVA2O8{e&6HUUmd6gE2PWIj2vL;DUoh7=u}!dc-c`q$9_
z4e_K`)dtHuGpK}MfnUh!_ufbwWV+{|JrO1PhCu$YDZoaWVF?VCU7?lm_@Xq}#1kSP`s%*L|81nVBldd1y>^hjCk21D#!L-kIMg
z5Yf}!?Uge>ZS2z%bZkJS-#cK%w;({XuqV^u?58&mgM!Rz$KnJ5&zWVXq|~4WdoniV
zSe(*7<>u@>v}i(hqv-zw8vB=@0HWwRQ!t4{N`zJhs0W$TNO;&-($C2xvN2-s&b(Kd
z(I@$EfzbO_LM~EM+kB4q3@;cREQHhBJ11$3ijnHAm1;+VS+yVyBt8p*a}Fvi%cF62
zP{wMpyxzH^`tKx_Jz@8W=P+r)3J?0TWl2<^*4p%WT7vQEsIilbX7(?Cr^D
zM{cRyqMVbHLmPb+QR_TX4(P`pCLaYzFDAsTeznqAoAA#wBi2zWZcvmH9_S7?Nk~dc
zGAbesI&RD9u7)XrtKTQ53SWI3>!u^&?>;MJLGA&#IG|8cj*=}4kqPLhoIn#1y@4Q7
z^P#6r$P>uK;n(+(N)hypnlKG)+Ky#U^0gmGi-6`ZCwSf^X;`bl#=RIzYU*eAHwluq
zC_bu^28^$+?g16;_BOW8F~X5xoM_FzoYZ4V#FqW2gu1l)YGeX4vzva`)!iLp1^uqK
z`;PP}vM}lNkihHEfRs;u9~KGpoCwzhU1h1VW*CN!=Ggv`>x)0z3Ump{SxrzgA4<}|u1W=i_wz$)yE
zotg%Fb}u6snf6uhP^=K?G0+$#QdzxE?vk`)li7{Asz|qS#Q-T&8|=>(w&96nV2;C&
zioo{rXc(&n+0t?Z-Seq#{hM6H6Hq&cqJ|YMS^|Oq2xT1uab;Kezao%{qff8ZSaHq=8iAGGi9z*~{
zMUnccZT_+iZ@ITMZt8Zvdi5%dYB+wZ%kERI68zRKMy4@>LWXFlWO8vsCm9L5m^GktIq?
zUt?M|Q$Hzn2~QLNy(VxL!lghc
zZ%3+G3O?T8Ukkj~1JGHbWY8jepI9tiR|&NdA$X9y9gGY_`$$Z7fvoBU$2$mC6iKC*
zDD7=oMVMNYTh_=P5REL+toeT9&F_}Y$+p+Gmu!-5(P4GaZ^eUqhmQejcdqa_oHJ=?
z0>Yeii%ZUc)p36m1TNa&1QHZlHFtskTVVGBCM2{A#q(=t@!X?@!+-JBcyxvY68;s^
z>eGZFMN&G*eM9z$&;%B@f9#6?w(Pi#f`^5Edg;KnRzV64noh3;TyF=xQut&OkhtLmCu0
z@V-t*TxAy&^;0E2`M=LAU=qw$y7J_wH6Ky2}0K8I2E;O3AlF$DM7nNIal?!S^xo$P3pQU)WvugXI
z*RK81w3Ub{j>v51928He`W&@amWRDgTCH8gAxH5zBgqoGhts0FiBA?XFyoFBFH
z{^qv$892lsImZavL3xw!FI!wyqS7kzY_?W7;JF8Y{yE^eE4?
zhk=3XAbv&bZp?U&Gf|=twYmpd3+Bz6S4C&zkntEiQTXar`WXV0QYt2)2f({*nK+gD
zs>3jlE&c9M_VDRxFWS%f9`Q?XmtDmR);}yYN)q0ek&(e*&eB43`+ynLPJ&$Gs^&f`f>qh?M2W}cz!z?V@2zp*ERN*-~4hM@`5xldxjlE
ztfWw}WjAvgS0<_L+_~L!Ze!x-l+nS#2=lZ>SR}uK)&Z9l4r@0i{p5c22RHY~5fNrl
zad8ziD<1j#FAcbNPh3v!0JQ0A$G^An^6`D`8Z`082t#M5E}wqkR0=ia^rz;F0oCs|
zvH3y~4m-~RpQ{Lq4)rmX`CX_DE^b{u&RQzR2p
z%z+d1K)$IKS_1xofiZMCg?IV#9!!Q{Snn}W*Jr=0`L)(gORKN;%3Qj*QA_+Ew(-!Q
z32qqi-XXqoO;!^V(+{VaU+Y;pFT}rtNWDL&&$Tm&&{N~K8}}C56`{Xt++L1
zF!7M=3`Ic6GZ{k_#DM($@9}LRNb+rTr75vlvIX
z*x1-$fYzx$%?G%kTL0w9CYtfL8}CX=h8%V~z&aj-@*}ZrTUxQO+>z}^j~m9;c}Wv??i4I@KC`j|=*nK`}l>n8~*
zDW(&Pb;4%|J%IN9e)A4zo!JjdMIkr<=ev2%!is!8Q3@6zXuHQV>M2~aaogeKS6b(($MWJJ0wpk`WM$=uka(=a6|
zM;|{PxN?q7^43xIRWtw~5V!X88E>5zJd!}g;rjGuWvZM6`#U9
z><9+ijL$Ng>;p?rCb&h2!bZ?8>H^!i8q*KSs5%nvWc24wRVSI}MQ5-=qSebxG{EKv
zol(UIl7WdykfxTFE6}QV<0La|B(Ibq4z_^}YO_@tOP4Q?;gv92zj?DRaq`3)U}0_x
zY}w%V+ndtLW=bRlA%_R*Gid6>4
zQPCJD)tQ)>C@wEI25K<$gCcpqsIvZppv)8O2zVCR66dE}UJZKq4`NA-)_H-yzumWw
zr{slzV9ATLmAoY{Iy*a`KYRSr(2Vm3CR!8iSDcaI!as2b1fDN1Ewxy2hI}N2BBR2-
ziuDEM;#yWi5y*?&|Aik3?_bWkZ+e20lamY18^YG>39@18LOu3`^n>k(msK2F_$w_k
zk-S+LL4qlwD7L#_=}G-Pd#>51w{mI+%jsfE4Y^!by{Sqe;4j501!GW=cy%|-aNhj+
zP!O$x3=7F~;8;pSl@2K@bN~Em^YlP6^z@@5BiF;OL6qxm%1XP!v$8&Rl(N6=oFsXx
za6?UP?HZCK-Mbf!gP}?w(!_{}h;Tt36e8!i6T6|>ceNUSwf)hfe<7;~@b_;QH2Tuh
zlK`QfuORhiqG#Lz4Ujup?2T6_1U8~nh=cdIudc4{#;sc}S5yGEc0|R-u0ITwTyQ42
zdFX)c6jwsALPSKQ>_}W>pp`o%dJX7;Y#oC3UaxSe#p^F!HE_
zi2uC2vazKM#$uAC;WPMUtbCF1iO}G*$^F5RN2*=r=>ni=X$VpYhrESA&vI!y8~Yo-&;~tr0d}DWX+m2{M9FojP7BH
zYcR}UIj;ZGc56v_`F;-%53+gigi2~F3>XZCKVmQfeMe_!Nvp&9_3QWG(7FMd5DJzyPrNV(
z-*ysk;lc%(Q&m)wfQX3f2EEBu*$2EyD=?9|!4bV!kM@WmtkGq1_!MUT;)+9dgLjPJ
zhp=Q2Ab)kcq`dq==r9UVK_rg4D&)BbZABeV
z&rAp}kkz*RxQX=Ux$VnKO0BFHg{QTf#qLBaaE?pX%oo$NV@5LWDm@>0flRxR$
zM-$hACPb$2$B#EySXg+3Kf70mMO9HTM|dFCes_Pvja~I0Y6w||!nJPAnw`K}Y@Ush
zR4ULZhI;BHNOm`#eH(LFX8@uK3ss<#*Om~
zq_rq2#4caHEN_!sXRC1TNA{L%>jWGb^%!G*dRSoa4kjn#V`KM#MV<+LT0{ibnoFP5
ze?KWz+3D%&>gSgG_Xq06;6Yl!b&GG&3)qNZa4z24qgWUAVxw+h>+4St3gEF=SC#0|san2=kA!
zv$xmvxs7za*Kl-n4BB*b=fm`ZCYF!j#)B|8
zbt-PBnp#6+vDM#eq5TIu2E0T}$-uQ#$1uV~L*G$A{r4{)arpg03g_=FLiykMqt3Q2
z_5l?bkeOMjUlHsEexhi?+gWMjcASYkq#zKC0}IU4R^t^sS05exq}Z||Q0lN#ZgcjB
z*Xnupii3lL@m}RUcD8O=hZiS3uY?1Sd-6m_Z^$S0^dBgk9L{9^A(IE8Z7Y-!j7Y?>
z9?a2=IqasGB3#C7KK^0E&&BSD
zO;10-sKyUaBb+6_ir{MqZYxy`mWJ9}i22p}A7=Ar;U<<%{eQA1BpLK*KTHKfAjAgl
z0rig_0@==;J4xOMiKm49Val?hz%cyrBKSKS2yjlKd7kk3^D%BgIUR8CO}CiMrWc!b
z)z%ah6;)!AXFUX^QGj`)`Dq_7sA|XmJ`HD30?p7(8jaC@7!8-17gxfmGaraVWF!?w
zplXnq1iue7W9gD5k03Tqyr}fU(v;Lc@wu;F?LrcxB`+_3l_f#^3G@}ae0*}rEP=`06$&n~;AWWjJ$!@QWaJzsjE$9)ttwXKps%29C`#va
zNHPBzTF_d7NdS_o(Dbks2@^y#j#qU?HudzOM588P?IWIdfY(@md~#H(W^VXVqCaTY
zl$r8+X2*^lli&v=0(3CUQbCl%z}~H1w<*J^V;KGJPDnz4Pb%uZG;0(^$|64aiIS!9Q!THNAa(p-Ysuvec`)c#ja9juZ9a7*UL5HteaH>1^@M>UK7#xKZ
zwI4>^8+y+f&Z^HGA3x*T`%#yJlS^mUu1l!rES}f7K#(^Fd>KGnBo?K3O*lQ+8!g_6
zC`Z7eXLYv!1dPH_Xs$TR+XiTrP^Ln-ol}%~mJ>5;AthxIPWr6H8Bgm`{JwhiN}+!l
z)cc==dXFAtUll&vW>20JLK9E|*9N<^Q=pgxZ96T*wy_6uNN$
zhNE);g+BsN5m^glU?5+TePdXcXI&#sAT)U03Y@%VXkqT?_!NsJ0*ivK)sut$%P2a}
zGbdBB%3NprsirMLclS}GgqkYWeY+_)J-WizC+E!fV+gC=7{aqp&D%t=3Vxk!sVK-J
zA}XrM5ZxF2HMO21b0;h;Y>2}Q5hcL;H`o
z#d@vyU6GT$n~rde^wpB57OHf17>tb~oPQ&)$jGi#&z_;e{4PbmA)kX>ukW=uo6Ih|nfj2<%nODu>aVr8pP(5x8z2a>
z?nNie=P(c|$V8a)%Q=MGXLdz@*|0!$t?U=2DWH%Hs&<%iNY*rc*()SMYuBm?dkvh2
zcfriuzS*3dM)F^fK{6r-1_t=AdSSRqlL78rTk{3B>Nw?@`jwqqXS0WIeR1rmRb|9(
zMkK(lcLg;Rt9iIXD29e2Pa1)q>Q>`Z6w`|PW4&+-Gr%Jmk=VnTiCZZnL|a=4Of_gl
zmnlw?0&=;zSEc-`=g0E(T~)Hy&I=_k`^l
zUU9~8J>uA-kT{P&E+Ld)_tvuGMNFo}XSQ^6wMkd~&<6i>j<+uad9E&#G>OEoe+7rF
zQf+}!dl!R}9-BK;Z=KQ&(uWbA7Y4Lz-x;!7tv7Cdj#68aMgYOAVvY)mlIJiBW$h}y
znmat~LJI1+bLZA)ILF-Ea8OUA;`{fE!9O1#6AJH!9%E-};PP_?bAk^2zT5GxqdG7z
z$Qj-vDs@QQ(AW$;wvQ4XfDQ8l_yCD!(DSJnJHM(bQ02|r
zW8aVp5X8j~PP5#69^Huf*UThDycm&WfgvT5I4FC%c{@!HRou{1hy!hXV?h~TY5eK=
zHoJN%4Zw}G@VxWO-k}%)X!o3Y3jA2ZQRK5U2C9(w#xDJX$f&7tmgS-Lj~A<|Rewlo
z@?c8rnaveFxRHScuSO+0ae1Lt2ZG4fhkfxIuNFAg_)tpAYsPG`qalx_wOCE*yis^`
z##!X{tDe_wph1ZxX_V;q?O|M5Ap9-#GezcxgtL>!G3AY4DAEfNf`B0DV*-NYal_~u
zFZw}AG(A2w0tTN=V_;BFJcc(({)eZeeNc+-X?08isbepzYzfWRs^C-Y&?i86{o1HGsy73*8MLj-3GthKnu^Ri?P!;PnenpgEcri
zUpPF#**K4R|Inq3^OSO{_}m%1$sPv6VP&-lyHz-8KfHM(AuDUR>}KIaIzT4)))8EA
z7si2s)Yk%qPf|Ds-V8vpNq8%NU*8tnwTg;|K(RFd;ExS2>WcKIjycz=2P??@vDaa_
z-=o0;lw_0TQl=G{ix-DgX4ZdMaNyaA>i~|-I-XWl>6He{zn{oK--2gJ+_Y8~)Lt}^hui=xgjt?gl_Yy0K*sXJ&pPs=$=JoWgnocV5208
zm4raP=k5Ml9CK5H2b$2d9NJiLylMb(hH3=6w4H
zjP&InU;WPkN_O>-ue8|u5Pwlff6+UHg4jLPwf*g%qVa(8UbvE!EnM4KPVkvYBL2cp
zYJV_thB{gOlcN`*F=ckxxl|T$s|uYBl3H{F3?8vQj)qTJOFT2_;+zGU6E`Rny5czc
zTKFTg4+)%o&WI5Zn26#w5amB0u%sM$$qwNh%SQ|)K*px_}Dpt&&(t6XxYFzv|-Rg&_8(a0U|S+
zP9q@e$=}U^q6BG+SUyB^Axw}*BhmaKC%03BEE1uy)nvV`EN%o(u27qb`Si}#0K#5M1f#b4BPNvWx`(Uqqq5uflJOtNy(N9Io4dAH3T_L4l
zKkHVi&zR7JyRuurdh62&0sw)dmAxmwqFe9*R6_$()5q|uJ;-^p0AfVo0O49s
zpTh}syps|xue
zgr}Ko%PJM}JOCOK{0I95O$lR!T%abXfx=(}=!96J&-Olc)E#Zo010D-ymOdw@PF_?
z>=%HK(9i`H7>93pK&K6KbQ}y70bTi13GQuXmhw}<9qX%@1|45q63%Bc0Z3F9rji8b
z6M{4dg;n*Xxk~^?L;;6B)psLp3$8am{RGFkU;rk5{W!XXt!FhgJ(^$^xVF}IOM
zZUn4nfyPlJ@WBnFbpy^$EZVeq&P8wDXb|U+J3Xk?InNAu6NuilfUQV*U{TaK7LG-x
zmO>gZj>XN)$OmpA3(TXhIVY>q4m+rvWvAotkIupFlhdJqY9Pn+ZTd&U={!4~20Z2Z
zOxFbJsaMw)A@(_?yg~Cp(k%O~zz1Uc${Uv*-Kw
z?+WhUf{`&1%*rJC~z76
zYB!Wf&RNGiMuTR}o-NN2fx6dVuDAHc8Z%Q<)6O9y9&cpy2}(rR2#NGPAhGReNTPj<
zUIfDNsmbB4NtDO3E?;$MdZ-+8C%Y3A!iY6&_+<^(Z`_D?%|lBAWsC?-OiYa1T2Vrx
zB*PoJBsCt>FvySwg1g!Y3k!E1Rzh@%eI5dNFvT=Q^i7gX&cST=Ljuat=Oe7hZ%e$9xm+*m{;ehS=7|Q
zNSw2j{nTqUI#!>;s=Bfe+woFJGFUgA!$D4+ZXK&lMk*n$)j4`q*yljcQ$TcO9&Rvw
zW~P8u{-wEPeQ3I8zji~m9#W9vIocbCo|SCumtt67h@Z*=q3!9FeZ*pZzcuKj{=vbf
zeYt~!PMw3j3>o`IAhIj@_+pU`Ycg_w{x~}`P_RH&Xo_?5(#dGY0?K#
z{gN~1XvRkD0(e(Kiogxfj75V(Ar%zh_AT${4{IAwaK(mEVT%JQgf*459!AQF4QG<)
zljAw|EfFfVx>W(IdNAr|JCMSGRgsqO4w5G>`vn?eErM0UkTWNKl{s<-7C8ffvzoFP
z=WmVjz|_?kE(ir9{hxluA16@{ZMy1&RMe~B+$Gd|qo+w~f20^DmWoK(G7)Fuo3>$P
zNK`Wv8Uj${7#ao^ym1BxNb$)$ERb*DAx7(VVj70&cn(EDG7iED6xIKMie)%0Zzl1>
zabPSd);MImK$u2iEYR?7Q@tOAtFd`Hj^^6BAHZe`3haDgP#(lsse_$Khaw#YP=mH3
z`m=jTJ%zqt%)57co4^7Nl6Q{AIX>-3oAD^+=kpO-YxHN_lP6|4X|k`(f%kk4ge
zc7m6m-y~_$ZtFt~3MPRH$pU6|b^nAsRt(hFzM=}&-L-31Vkdg@rvT8@XL~${G7uAB
zsF;L=7KjDi?_=%)r-}wg&jz5$;P>xw#@aCV4we&vac+{kLMOe_e-C@+-^s-J*WPPJ
ZMY(>_Vhf4ce&il#yZ7y4?mTkgzW@o0Ex7;y

literal 0
HcmV?d00001

diff --git a/dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-41-1.png b/dev/articles/a0_tidysdm_overview_files/figure-html/unnamed-chunk-41-1.png
new file mode 100644
index 0000000000000000000000000000000000000000..24cfb565f44d22e8555f2199580d535aad5e1295
GIT binary patch
literal 42704
zcmdqJbySsG)IR!Bf=DSU2ogs?5h+1B6{SPz4rNP�Ke&0V*X(NP~1E4VzLFge_gt
zCAsNte(MF!`Mx{G9pm0H?tj;D4zS-`Yp%KGn$LWmwckHhmLVmkA%-A`R8IDxDg@!9
zAP5g4ItPyE*Ip+9zs@~Xka-AxgMYhHXm9ZA{0mtfM+lxITnfEk&7fdS;I@B>6R^q_?G~XPZ?j
zSH}l8itd(Jx{mR7;3*Wg98q@`FPrKPd`No7=8Oe0|sa-TP
z)Ap?Y(f$z8$)9zO_>!l`;+de++g7gQP@Eh>%@CnZ&xy)F_$Pmj3E?uH9%{P?om%u|
z(EqDP@u&?$qt?Tf$gCI?5&r$epdd0i)e8OI_V)J6WkixpopZ$lgM%z`Zy(%$`@rOb
z9)99QIyySySCXOkxVgE1=Hj$xsI#T&bKa6;yXxOOv;JwscVuKl&gdq0KN0E%{}qut
z54pnSGt<*$I)ljltMVnQO3KRaeCoIVm8^od+Sk*Q>LkqZ-jS=0aL!40cz8I}*<)9}
z_FVMq+s2YtGP|=4m`LhxTc1Z|bfo+2&<+RRVe)}~XjSOb?|N>y3Zl$A&?q+P1jQh6
zMjQy03GA`MLQ)^%r3B&MBd@-Y@pPk!Ihg>0%sKESQQmAum6sr#7O7?2ENag&6MSIL
z+_wWb*KngsSLF_`t
ztJ}s9RLq%%!a4c}!i^4&Cs6-J1O`ACzK`MG`@kEGX1h>EV6=`Yz-wjNaI=hwslhwJ
zD6f#?P_%n&uqP5rUx1+Y%Kv>)My%qcBXH0SKKRB&u(Rwu3N@Vw+NVw?taywIC2oS}
zd1b}AQ-a6dZ^Lac-lH00*y9_c!ey*eQN+WG_BSL5_(u2$_=NEq@Q9X2`M3>ZWN@qb
zrNON?K&wwKIcYU5X!R}7>WW#7I%?QXvwbJ6miYJ1(^dz9R#Spj>u<0blSqTu)4s>n
zXb#@UfG;WO*pZF83;U(HC;S9yLdiKNH)1{9o%awCH5g3rW^r(-gb8)fh7D*!N3s^q
zGuYhZhcqkXeK@!W>bto7M7VqW6nAkMjY-5=VXs$vwn5~9%gCsUFIh*eh=T`ueiz(B
zN%iVnv>!d_;z|1%&f4!f`=pLK{FCf=2GArl${RH2qzh8PxD6TC%|9OzK$2L{^@E3C
z997bEuGkF}%P}0z%3SeHszjra7>+Wi&|;5W2M&YEV#^9rT7L8X
zLIf$t1ux?;(6CiW;As|4P?&OhOih(K+oSe3Kg{K!%f3mRwFeGY{2$4wW~zTUsQCHx
zNw#KgC&SSSVN0BdmO><_hMnEAGD1GJ^Vhmv`S>|HWcQQi=S3QkLY3^H@a#vuWCSg|
z+(VSeNF@C|?yJO{Q}h_&`|dCfug&?My~Abi{7=flnYY_oX4dz9+!9YhFW2bpFQN0}
zUrwBlbDfTI+ntKcjv#*}Szlkj*QDa5>f-*9eF%r-?8&C*QL33?JW&CK{W%U5v6YpT
z-CbSD7F}tX`S~imX06@7qj-Dz`qJSeVAdKK7|hSkK6ZCU^F)!1lV7^Mmg_ZGYNPx0
z>DwToY3gdM!Lntu<8sZuZOiAoQd&lyCCY;1_y!J5EW%6WlTM2zeVQD{KI9&fp-$^9
z0#+|x6y)*$qeG2@zw^F^bjJ_4lnTO0In_J8%L3`*l3iA&)s?Q&7jTXDo>eb9{7CRo
z%g!zzjE~H#xYAPo)Gmv4@g#lD?8mI;FJG2Naa}OK7D6a_M>FTKo?c9=FgB->yrFkS
zd}r*n@b2GFE^LkqUmNE;WEgVYo_g2e5YBe1sc2-Xchb2GJ<*E!$evt#eoX2H7}ECg
zuT0LuA|h7jM3Nfpc0wQZ#R+?NGo7@
zxVJe_Zl7Fg-T&q2=;(R1Q)22vH_}8Ide?_my*VAJk%n3NoPEVJTbrA6;KRV29j$<^
zx{J$p`L~YS>9JoJ4#o&854Q%96Yp2KkJs{edXP|)qHf#
zH>r85aNUo~!Ds%)1(dI^uTwuFa_*xPS;v=0{?U6wlq#Z6BJ~~KZw=Z>(7mX`(Jix$
z)6CIM>QWZ58JhX)AQWfcaIJE+fwsh9Ni{
z49Z_5MQ|DAUEnM?HVtc#yA_u*87xsVy&fcS^m5n@n_CGybaQ08M$6OF6Ir&YV6+#i
znX9X@`IS;x@P5Ma!Azr4TJ|Ab?%UhOs01Px95`U|_dJMOeGs3q-}z8xL7npt`yzFC
z+ia;x9WYM|KS)7sFpAR%dB_7r~Gp^T9c!>+I*YyNBmCSq>D
zD!(UCU_>yfp!o(7Zfe(DNOxs~rO3~(-q{BU(uz{hKoHo=h&|
ztq+;nPlk!<>so2ZP{eOv)$H};TOJ+k>K2+drHE;Tf(bPJJ4&t35uOFZPF+g6C6?jJ
z5{Da=3AM)GaBYSwOXi=g&$MY}s%Kfrh=dfFSE0-omNOWV!HWG3tSvjwt0>GCinE`;
z70&Ar{s_0|Ab(!bn%%?Z_pwCk
ztM;u+9IXcTd3XQ^3~fk|7?fo*I`5y8bN|Vd3pW9n?B$HmgY4|91BwlsPSQoc`OSZF
z1;fjTxgg}W(ILa4K`zZk=K{PLo+T`D@XQ6aOz=$@d{uP{OpX
zkPIT5koMQ#7`j96Y&U5tjR9*?f42NK0pO?yKm4TXB=99aD?V%MYorbDT9B0KEWaP5
z(nrez))}Tke@QgwZw>6KbiByLOm+F0SjV86gDEa-B{r`sU3@cB7MrgnW)i}@-rnv;
zE>3wqpy7gF!+u$h6cfC{Cfnh8F+$%T29h~8?7J+CMpp#t)Vxs|SZq1#4v0lR%Y$rC0pf2RIKMZ5c#d2;hs
z!#8RO)vL9Ol7%jNPX;#I2X;r1Oa?m7R7SUGa7KnJr^}S$)g%(o^mRiSJ=I5>`F*bl
zE^PefZBs<5>B?98gjoHuzD$U1cAO^-&bi<5rw@a34u0Z!RJ(8%fk1?@Sz-5{s(n=>
zHy<0$$Kq$`4||1-l9yP7A&{!UW)VM}Q&B;xJ>?*&uXOp9hhohducRam0&e{L_va^k
zf>~R~UxRVXIrK*_tf-|*P~tvHcWC7^)Sh&+E)3ZI8ILvk(f9`ofs7#V!h@|hAz4G`
z=sU8VJ58?L6z#wDHu*K9g7!lc{yifjqfuFk-(EB;jT>`a;Y|xW;*Rycq}QeRyim^$
zk4+r|+v%5$cJi~ct^V4!93CFh(9_$_uRU*x?&;q1(fl}jQSx16$GB|uDAY~-fvq+j
zOxI7pqo$c)(OYKH&Y3B8@gT?PZOvIGy{u9C?`xJzc#GXJ>RND8KCV_la
z*A98Z*^?upj)Iy%e(*3DB6|6AmNLH?Cq3keOt>(X&Wo;xdx2HuX72rqK9?Y49wla|
z@Em_{f~LteKK*Qxc1t*F0t4lnH#~Y;UvPB6G+1+4;N7HHZ$^fSLpH&K-mzbs)Q^=A
z`v_W`iKI?5tGAr@DHfbQ`L(vThTI4k#1>8@VxF`i^-AXQ#~r*+lJPmSka8vU&K2WJ&{V`ho|SdNpT=KpO_
z20y`Xsz7A~ZElZWt4gmxRmt}xY47|^0qCPM{Xc5EeVb*{-gZAbcr__Wtt|tE3EK6;
zk2H62DJ3VtBed>4BmNxxMSK@Yx?bj?c700V*JiPMmN-cdv7dgh(%(@x20Rb$N^h+T
zn)4iLZM6}N9;VlFg|@zymX?NuNZ{e&0bHPg!FiYNP?6&#ELM1&EP)pY5@*AX4{CLx
ziBY#^HyDpC3OZ
zeu1c66;IER?QTrAV(!|LX@s`j>elsizvNCZ+L-kug{{wdwu%--Nb
zZ#zWt;2+C|Hg+{e>}}A0
zMT0_s*$x`sCicbB~hc&+xGDDH*QG6$p>SQ;B!2$3-vGlVs!rJu!nTrg&luz^)WCp1^$L(
z;(hS2&$#Cx$?Kr2N0Y*ml1{VtQPlrHkfgpw&>%RQ0DGZnS|yI;9b@7@e_syb6)8=z
z+kK05c8Llqwy>YKa*V84LSn7MaiE(T)V_+OIHGWS{pj)E!MNea6(-Ot@br!(LY$|>
z)MLDR0%HPsc=$U2kh~)kBcf2NgP;|hQ|QGgyuoMjo^MLjj--wHrmEmI`$gj1;Os3UZVkn@o6LQi7015_A(KLUdhY+)>U4~EXhS@whl=CK>I)@D(2Hl>w&{!2Vuq-f0VUjq?+Hh(C+mgKgv
zpHhN~ZKAHa)}xB6>_5d>X;b-aRbs06%seRlgohBFEP4h}uZm>#`W#Cu8RghWT9FYJ
z*q0`kbYFe_KFVHpMRAHWyx&>&+l1Xx^`kaZhLSsJzS!IU%@QJ0#+VW
z4VfY^>!sk6aRlJ_BMAVfG?7vB=ODF~#*31672c(p`VB7@Vn;3X(xzhF9lvSzy=c;G
zMW~Hv=J76aJ`-!vwtE>UG&%FB*d)oOq4Ifg1!f@x8F_v$eekNbxl5$n6&qwK=~Sh)
zhKZl?~A{Kl7eAH7-QqtxrVrKi9z^a0fgqH0cs9aC=Irw)l`@$(
z0?=pqTz*{hj{N5$7}KsLH=YLbGSgpG@pJ_}e7P+KY39HGurEJsEua@BMKEWYYLEH8
z%FQbt*Eel{S;Ny(;J0))$3?E0Cc@%&auR3P+AE*AC7z$oY6d1*v+QaE1x`ba=L~m4
zQr4DK(1RsN-y%iJu9{Y!(3IaF(TYu_^y>W9?U|vOS&T(~?)F^qw%OSWBSfz!mRfmC
zrV(9h&2eq$3#m4A{M9S;Y8A88&aX^b)zuOWU7`}Z)FW~0dGIE0Kg+5&&=@d~4(0LQ
zDM9C1h?M4jn@Ra5PkC>ewpFpWxQcOdBx0R+=JPym`}Jq(KH>7Elk_M$YMeI@tx8TR
zT#`tALLzgL>T~ZK;6(luy)?92eKZd^shq)?{mE%C^TFvKcqj9m^im+~l#rw-nC5{=
zeT*Fdlm741HXA-5BL_#!4Zv7Eo8^-&ZYE+(^M*LfuF(*ZIi=i*h&>23h8IOlEO(Lq-VMrlEh+@-N%y#>?xNg)mACt7|-t9%rX~&i{E{mCcT|5S`0eA3^h`
zXc$4bhN}~J@_;$>tKb@26K<7InMV1-V%>Vg1wKg&4{YB>c_demwB!yGT-i*
z&SM+2%3}L;L*-5H@c_Priq6q$y8K(hE!xFZ2z#S&1qYTk*q-(?@oBYEei+?
z%ijsO%ml*c3pz&QiP^idIhxl`ENkommaZQi&pv9Olr~S|E2T{E{im>R155;JS0~rA
zgX$3Yy!rsbSG+EE?md`M;Ny=AI20hnP%~eJqdk~xU|G8vMF0B7Q@Dx;QAmVSyn~1`
zRGw$iLW0;98`2kDqZSU(2k*p;2i<|K{bWU?j^zbMu7Rv(6_?2K?n)Y|uY{Je{*IJ4XG+9Gq&xT($y&A#r_l|N
zB1q_-sD2(WW&LZo?2{H1LB(ptiWsU$y^*7^6sIIu^;1*Be70cMW{KyKRC+{8{BYc(
zSIT;|L{jy8&9sA8sJECA+m+4MJN`EI5q+P(TJwggE-fZ;o001o)Ui%E=m2bWpMsU>
zRfJF^p)Os>?Mqf0z+=IZ53E^tkK6d^EQc)n*=LYmDw0$ayzc=i7&s4ggV}L%K;s(D
zj}0zxgi#zU-0zdh7{9XNP$a|r0cwYu4odB6KnFkoT=LvK1eHtZU3v%3W8;cIPDl=4
zQkHcIf+>g}luY2>e?TIBl3+lL@#W_zxbH@RLO1snT_mw~6F0TRpT}vY9&!=&smR3?
zl4Lu_hDk?sl78>wG~Q;eHv!51{=QfE&96IYa+YIK0vG4GbNrR-g%2?WHm>_F<(TVy
zEt-8*$bDhVn|`IV%0gZN5sdZi3arK8Jxp$+;wen=Hd33E^{yX$YRYy(3M9`d7{a#PFe08fqnw7xz1o5CE=7PVk147S_
zgFGJ@aeKifFf;GB+A{c)v%FqCvU3T^U>!Bdt~N5M(={>Rb&TWkX@HEcC$+tr>Gl-{
zevK<{cu7(RNDxDw8lkE-ONX-B{2O#~_ba;$rspK0=9_;@{50qzabftxOj&*wZm4dI8%qpAFqlBnq{65&9DX<|1{;eoEORR@3gGLMCs^XK
zkh&(Qw8WndAwEp*SC{*nGIheEU}=
zhG5Y%t@5&Vsrs`St_p$f#QJtlD{6^_k=go*#LTQj(Z8I}^wYl;yDst2EwwV}1}mg~
zK`VZPZ@xaV#QsSa>*X1$ZoMB;^cz#n6*Ir5B30&fx4J{;xx`?ev^(cPUeRy8&O1uT
z)CBS0I@4RO+n?u!3&4M0iUcd^;9xZ+5QSqssVg2p9-=zCO6_snU|oudxT(+-rbVM!P!iTWVDCN
z(qP7bG~qFW+xbg=aE=ZpEXdlr{S06I7(WfC2OtwTy&NRl|NHV&C;5Lm4O$Q~dL9Lp
zog@v`_6fL}{HB_7bztEo_N^pt&o!NP$mMO{K`frO%Q&EJbO|A0s9xQk%k5Nv;yNy-f_Ih?v?7WKV~Ag!{XsKaO)5Jt8emzc>;!=!|I
zO*<%R4b8I1#&!_;2?m{{7zKEMz*w05NA~*Z+T}GSEQz8M!+#H=EEudEA1s99yg|WC
z<^qrv1Rc~7G1djqzxt6G08Q*kfFqJs_M~Tr{!J$)0JK{8G89DhVZ3IQ1
zj(HVu3FniL8s$-r_h$<@I@^oLkd)%2*sp8|(#FAIfF~-uz-m%ISeE;jlc~Q~s?6T5
z!YDFHF=m`Vo)|44h`Ii;s9GwjQQ0X%u8aYs%o_^`UBh;fL4yYMPs|mg3+*(sWSeLV
zzVG%etHIB&6?+X>5rg#V&UWo4O$Dz%UM{{i5N=V_6OO%ixv+Lnxq@taqO$>MsYBjd
zs@Ht2w2QHs>sC&q5QZm^A?p=c{nq1XtE@XcW~^ow?&#cF-$C(tcE>t~gu6W@wMn({
z_g2)@4CW^8w(_KY+mA!!T|cnuS|eV!b&hBf-3IgP=e6T;_Vs?!wy1fxLs~ogi2i+*
zWe{_pjuLLoH+p0Eo!x7;f@U83p=
z9u=4LN0?<|2DU=o(dTpa`J@cksD-0aUKq!qAIqc{$$l(ZWW>c}`Xk?@BRo?{MdX{d
z4E36|Bf&6)F&QMMDXheT75_vFpih2n(1&Gq(f_%t&LElSY}7P6W$VDOdgRoh9C__e
z&7P0wU;@4A$~(l?`_Y}g$2?($iwpxt9uY;qk0bf7yECW0db`AfUbe|n@I6#|%vOnQ
zB9FRCb=7)`8x${2ET$^N2pI6elk~bSTRLG7@R*ayE{spum{3G;rU7}YOXC3dJ~;?N
zC-`^FO-k}2*^Ke-3EG8V!m=(f-si{4IBq+9-WjZN<$Q~r#xeXhoiY-8PkAiML4wsLQ^7(BBQUJp>m-w2jvolozIp#yCTu$1j?-=N{>Te_)
z3X>VB3Xz%|WhV9KIP^+$o{L-rm<_xKu4h1HY50;R)bnc?F0HTSlUwgo?QI3nNUSEz
zu%Hh-0iAwAPApe%Tdq$0tepMgA4c!E-vNjujcm<1a_^nj)2(sY;00M_WiIJFsj3#H
z{Q^TTUIz)!vm&yGi0_fq$2EUffeSGpTmZ`M6(cCO$fv5xr+0y$OcIip?y*3+)ovwT
z$NQt$luyc?!Co85_85ZuiS=Y6iZXP_FvIoeKJ&eeIdDCwzq!pO`8fds!Mr7!uX3?;
zaN`@f*NeZdyB>x!@$Pwm;@<=Xe>K=fntA$}*gUkd)%c
zqoc(=E1BoM5i)cGcCN6CaPL{Lm?p#ipT^6+oO*j=s#~p<$AZH_%T&yjW?-80Q%nDRA$!+AUaWnTvTvZe>PLQSL7!aCR8qUr
zyF+9Ok6fZi+hXR~#J8819^5Z0l64#SCvA$L8XdGTT*9N*NF?kwgh<bnRVlj!v=ySG9Ttk#eDox2zol@=`nCk|Pb>EYb`AB|b&ot0@aTlGyo1?zF#H
zhW$aQGIaYNX`a&{Z62?Cztt39#Ky*k$s4d!gUUGMGslu|aDX7?BPV)+htA>GKf1-g
zRyYd30g91RE?U4YURYRI`p63~sPmx;oE={Ki|Oz%0cx`g47JmMMS7r~7H4GFHM7_x
zTDz(zceL`lb82vb&}iN
z`_A{kY-99`=AB;_PCt}^oh#g(*up1b8K{{;q1n|&hQ8|Uk?f*2agor9PXPBF?*t!b
zD8=y4y`fZY|Ni!Z%WW_V8)ttp1$Q?D()J7vT17iVv^+1d?&mRZUo3$s;9Hk9Pbk#m
zqy21gelXSJ(y}zvY#RATj<2O&;y79F>SU7fVlBIJqlHvuXuOM+OKJtW{^)%Jv0B7R
z5CW|6-n>?A*6#X@RZ}PnsQ@d9l!5)vD{g;7WSst(_*wK9u5vw$Y%B{BrfF=T=cdplFhEdY5jEM@3%w1hIkl
z;U-gAbQv6eokm<|G(2;Xlciz=?1DDFm~Ad}-w`p=k`3#=C>_4}N1pIDh_uGQokiY?
zw@{}t^*@Lc^sZ0@NqFxIXk#`xSUyx75U$H>+NpT9gQZHh5l;IXWLv8FUvb?{AgW8jS9?x)eWep#kKibNU5E^zT@qqUlKxbOd@PiQh>d
z+loQz&Amkq2W-bIWUTW+WoWr+SYp|D2PmuOtrGpHep$%G2KVS?Z&9+8D^<@f7DS
z#W=7Rko>yF!J~M?Crd5qLdcZ_PoN9
zU$gi>{MxjurYed7l=BB&sb^}LVPIX)J}2`=3b>S{s7C9|t-WiwD+ZW=Tx6iGMFZhF
zBassz{jpsMM^1l{`*|Zzq*XUVq$dw;z9a{-SsDzoern19qLle{X~O#@($s<5C&`&w
zx<2QfIAuym$w%UNw{5_#_K;bQTx{dx$cnFkqP;)2rW#(N>-zK@aLDMD$w1-ds`Z9y
zg!|8<{pHba{xJnRa*
zq9WPb=I*%?AyA1Su|slkJ=0&!BqHZZYv=#|qMM@l+!M~W=1Y*C)YJO&_8)D^H27R3
zT#_a}7Rd^(ys~g@b`tT&=iTPhxKiv=aY3i{UO@nL+}~|(RsGkTZoNp$xqORlaRKXP
zZVt|Y!iMSKR9>C~)+=d%*wf(+XAFHL4>F#>b-5XAjXvF)K`Li(4ID&o5-fL_n5-WpKw
zWAG{$-$){#qg#F{BV{CejHx~F7hekrmJJ2Do0Z|xL_s}S7s$3Uz#3pMdbs3b)hoiy
zohY(grRFkZ@3&NY>;q6|kwp*2^l7IAbQcXoH736O6@QaZk
zAD%xxNH|Uga@F%C75bbp%a=6SuL6%#XTNF{fd)w_ay~QN(%9HIy;frN2c;XxFE(=R
zJQZ%mzIX-FzpXe!N7dayCe)L()4Cg~DLf344OJG~><$_A-biNXVc#EnO`cU-YZSV%
z8tm=y0JGm>=atM9ELw;VSMl6NkM^9u620^aj^o}
z2$oHaY?YSDg@Qq>yjgQ22F3=RL6TTtlH^vwNfKB$8Ko!94C|lLx(gs*LV6cOT6boa82=;5PfuL7vJvOVYFKvTK5}J~oSD7_G6NlkMD~39)d?U2Vuim05%R^#&=U{mgdi2ni
zL%To{Xr_V6lSv|c#oX9fa@V8ge15|;uo|^%91JeHfetz-C@3UhYs(qvql1h0-!TPI
zyDsf*V$-wwIegHlZ|<;!6M|%emG12P46Z1@og37)Mc`|dnA!M?xz#YC^P
zFwX@e%t4**Of60RSA=vwI!JkNje9QiDwrdL0P%!S%$iB;M=1+UT?R3zwhO~m%PzME
z@U_mSE6579fK5{9#$jP7&k_#+Q(cc~_xJXsy+(n=)OpaRENhD2`cFaEz5K7!E$*AK
zCR5GfA_kL$B`nDTj2*BH1A>@kF5xALZT*n~sVEpruidH86gY>7VBXx=Fb6YEBSBzq
zPpD#O$LK*0(9CHWx+0`(hFnHHWxQ(FTSc-X&euN%5Hy{rNlFeE@kkirb%pI}T*_!?$v*3fHadL0%Y_0s>
zv9ZJyI+NeNq_i7x%N{Zps5o=5Pcc2$fl8HWQ4l21NYFV8bMr=`4NxO#WboE+q<7D;
zMKAK38H9gS2n`aPAc}JtafM^>J<)^tcSEX~DJ?MqSQw}yA`N<9pr&5`-8lCzJNP$4
zfBBKTCge0^-xzpMW7-rN;?I%*#L<)Dw_;jgxEAWHSS>v9j;Xu9Ka-ItOg9z-eONCeJ@HP{UcN1XjmMl;;PRfUkmhi3t
z5N|o~!29QiE4n}q3ygPCv}rcwna5(gCVu)O$KO)HE393{p}4HFo#YwuDI3wunyAiJ
z(na-M9J{d4?I*tRk6gat!(C*)dmJpujBZ2EXJtFJ-zN;*e+gy~yf|Y4BC#zGOxPcq
zu{10)0{~37!U54TXMP1p&Ha#VV%rN&Hvhn+-tsBEDjU%;b0~Kn#T+=)kv#!Ifs=ST
zKtu3?02h3cgM{Vd;^IJzf{o$?11q3b?(`v~u~mNB4vHm42NP74lR+ZIrcIZSNMvSF
zk=nA?HW~?RH4nQqPXp}}*-nwsUFGVX3I9DX!LxW<1*HJMPXJp;KzWAG`^baN`(U;5
zU=33OAd%-G)+qQd-wz!M9_AaW!1)vAZyE={s`K1jrOu%2mPRrBfy4OzR-VNMT5jaE
zt=z5wYa}VPEzzYZgSzK5w$GndU-&%LY7oH_T8vIIh+IHaU-+Xp{Fb;>sM}8Y`E?F1ELelOFGKV<^)4;pKF`EdR%Oid7^0bqhjKZWTyU%$8F&?4aHJHl
zb8}DJ_k$>lfJBI`*43=WN^(
z=d-v{geBUZKIg6dUvt5Qctc8>v=)5d%-f+~hL!b@1JBge5++2Ie(Sat#Q7p7MHg86
zGE-v_mMP&#OWiQFKkbD8nHY3Xj+HcXKrG%TAQCD86`hR$7deq$JeQxp%x%?;
z&|&HwVz&`YOA8DsLPXX3HjqbHV~S$QwaelIlJfirtxFDjUNy!dgbicuvhHjih?+$e
zgtL~sS554_z
zaN}tqw$SUvhcR3P8b+q}Sts+uOWTLCCWws
zzQZ@^72^sUG!Q$QV<&c)n`tXOJfOBH>^;7#HXQJf33}CcQeHv*WsAgsDl(7--=}!F
zT4DUmE1A=4;W%pkd3SDlt{-In0gQoOcwE()3gG>To|s0v>4jOf;JZnK#b|{&7_TjAEgreuqDN0@+TmZ${m#3T9WceAm@abgbe{w6me-`5js4zR0T{7cd
zsThFPTXeQ&EGCt`{}i+r|I>Ac*0I(ELv_EQlK-0KyxQy1N@8C`P02Ds57CBp*}k7v
z|2Sk-Ns*R}t3T&!p3^-9bCbh_*)=sA((q)G1XASNda1OmSJvpH$NurDIs*tBbZYEo
z{R4Fdww%Unj}e2L&qP~_tkZk@%ohEhyf3VkZdwz+>YtYN{h$E-_*;RPb{PjoxP)Cr
zRd7LkjKIfcu(@qySe=X-(+J6am|3iv{PTPi?(*3PwO}At^WkL+%YXX?h6tFVX&M2g
zyi`uV0Y$q3-_{IGN5O|z1fUPkA}%$aK$wwJxynat@pF>;_%xJ&w6Ht7`>JmesH#%n
zkKjwHipq5T_}WtQ5A>?+bX8A0LELwUa0%{@{fw;dMPo}t1xxz{z5OG+@tg}^-WFvNYdcj2RX1gh{C`aY3+}lAmTciN`YxGy#x_ipbz7EEDeEmO*
zMoJqU`@uRsNYWv&W;$2^r(IpZ7@p@Yn>nL
z6q`=}-f$ZHP{m9TasA`_6gw9o0&rhf);1)22~39f7bU@~AU2Te0=D8LCHQ(AK+#Bj
z=d7VXY!1#RK3zbfq>ZSBZE=4(-cvf8Nv9GJh|Pl-mGaV1<<{9PVH+1Ed*iYZEnxxK
zTz0?ua~#9Fz_!esQ68t1VFXWaDQ$CDK$K}m!O~z3HtWwE`=ykDp-ubfL2_RkvM%w5(181u&M@X!IA>?VjGTQPtMU
zIO!77tNx`95v8gqi^|6KRp%a`^~z#HS?v7@f<$TUUWIvV|MmD3
z`5R8DL6=$MyE6Z^{^`|^$JHR_|2w-~Kux?9i#wYssw~jc4RUxiEM(x6uZjpYAsEMY
z_6qg>Oi$4bX
z_rk0(-zFLydP{PL{a5ke)z5qp{_U?uFc;SA(;QN7c`xN<7qo&ZXIcF)Vw(PW
z)}7h-CC;#x=y{&I0ShFU2Fkss9R>~Mlf+=TiQr$7{qmHKz)IUFY1Qr8{r(r07B*Vy
zSj>PCDFeO~hM!5UUTTTQ6{vTTlJrg5Je80*ax-0T6DI|6SyVttgT(T)D7Xx7JA$A(ZE*rgduwsEx-_5${_kSfE07Wr@8-Yb`QI}xLqAs|
z=Fegk-6`#!kp`k&xcpDBd4*YN&69=c;#tHpIf+;(%M|K{k*h|?nuRS(_qOL1um1YX8;0cx(pd~xF&8zZ
zt}CrE&(0p&q%wR$25F;R4<1pUnNk}P~p^HVlNuCxc!*{3;_zSe?
zG1#l{NCg)qXmPN-=s(x7FlWEX>m3dWFhCsR|#crG@M)&
zVy~$E##b`@I2Z`E1$R;c2(M!HKaW1o%GyY)E#aU<^@Fg(qHt{YkI#fq_^m8{yP@(Y
z%P$*6)Y-zFU}QPr&!wrQ6?wGNC^7%{lS*$rxkL`R=d9Eo0O96&Mb*{S&n4FvirOp_
zJhz^(g~PIkMviT`poxj(%ExXh-UO@F+tby`^1VBVr|UtwPdxpK0Id(Ig4M@|%YAU+
zF{G9Y6trM+;(1$quELlY0E{VXelf=#&WpvY&BDcLLj-fK(u7-%(M
z$1B-+@z1OiMO%V2&}Q7puTl-oGW3TjWG1E;0PB}FP-V~!V!*yfPPx55jpA43;?!8;
z^+dSI&cXuA63*j9I^gF!T^UqH9#6o|qRHk
z3zVqU2
zY#o9PcbPS{tW~&2XQ@N!IPZb0`6XRuC96S${6$Zh7M{$o)pLw|IeKNvp~a(K`+<6C
z>1K_AykIvkC_6Wjeqe_i4sQw$O@S+Et!v~G2P?mpVH4X{OkIWLEW)69n?(tSIn$f3
zZvr)Y)u{jpD)}J}5#v_7P6Mw!^jdFI?=&Tlbd0rOd)t8K>E#x!nk0)av0WYM-Lh;4
zPD4YCTB=%Cmg@{Z{^EqmDF
zoChr6I>61L2v(31-}xVtCUUdS4XRYiKysg4S|Vo%y|C75oWsddW^ujk4q&r6bD%z9
zM)cFwp2XX6$^ykz`5seuLQ~p2mmK*pU^BKo`oIRLRfIv6w#2;S2HndspGr`U+5~$b
z&A+`OAT7zfxH>rCLj%Of*DQ#6F3K$aTAAWW70u)c
zQ?hrw$C{iNcp@N;+!{qJRqV16xvlxKfx5F
z$x45si1S+D^U-FOkd9tO-&Q$hgEoCWf;4-`&3f2Y`+3u2m2axDoiEcZad-z(U8q}lPub9*=(
zGX-z)22{6dzWXrN`S$uG!?AW}cG>HMcMp;h?Y!1wLQ}vFYo+q|51?MB7+O4Ni{{hU
zVwxyR#hV0$4KPf`7iS>Wk6~mJyIm_*N>&ffaBGTh|pt32$;8_f~pCAyT3^+?Yx|9TNgWBI*XKE|L0~DVk
znPCpSwGftxn2E1nI|PLN@Z3cAV3}PXs5NH7_3+RQ0q=Ez0q^6(mi(e?C*3*~KtcY0
zPFFi__buzggBgiPX3y~pMvu+R(m^GB#CFQvo
zkNv4ovEZE}blH4fW=(O5h*9n&B1G06JW4qDdy5ZHEZ|ELU~$PF=u$2q<+Q;Ut5D|c
zpKvnO%bv?>D#7~$A3?;8iTB#G@SLO_Z3k>m9#Bt#8y9Pjk913|qr5=%9T0tc;h=bT
zYbY%P|DS{~rV_8iy-eE&Phk!xsK#@DDtwHKAd(3{_d_qgXiVj
zt;&fu?oB>Q?DE}z@zC|6xq?CO)LUPF5|NsI+PmiE6cw8{+I8xKn4itQyJ(0ntlCQ#
zIqrGS2w#|cfr;Jdmfj%!)a}(Ro7NjsR7ZX48mswacEx;9)-O|@6J?jh%a_`Vi@t|1
z{r?Ca1aKY?TLFF+feBH~*ZO#sy5^)2%?j%a{P{Ql9!3=KpJYPv~;}e%%>h
z7AU`PBEruGn_Jb{uApIzT_1LqT1l%)L)Du&+nb(OX}R#$roq;y$iT=>YJOAOm;j`h
zMLBz8vai+Xf?au-Kl7r==e6pdmrWlCNxGsrK!iz2C&hlN%;e&!>dTBY#Imc+9>m-D
zSdmh36O;5wg@h%zhoiIBNYo5$+KyirDY`A!I&e4{{nzOl?@->1O+k?E!AkT{SJusUG^{@+o^P5J3O(z{@*;oT#
z2NlwR`Mm^yn%iiwh1ai7yHsGVOEi{N1r?)z+wI#R4~^>GhyrA434HrrF2w`q7kAh?
zZX1b{Y0~K1J@y_Ra2qWoeD#B!goM#Q3eQ6a_Yw*I`#0}c&ox{N`8109Qb)u)7LY;0
z^olX`E@g!57zN%XLhF^6(|-84-zi?zj%k_lC{hraG(BL{v(wn#mdPmHYm$l
zn%P>nSB`Va65p&y7_c378*aO#eN$_H)CZB*B#Iaqxy#`BPr>hW>Hhe4jb()1X=b&a
z0hxIZF+M(ss)pV%o=smWnb6L;F`iz5H;+E=*K!YDnf5`x3+~|Uo-(tv4oB+nYmd)-
z+oRDnWWcW50?jdJJ%4qI31K{MsaOmtXP1p@5{u6EMJTKFCnW3OC{9N;cpcQK-Vyko
zl*6dmw7f;iKc|-enJ&Mr2W1=@f(kMbDp1K$La0e>xkDu1HFB1l5NWarmZw)riCY^xd;(}L~h
z2Cx*@(sIxF+tS=zN0vtR1`zsMP5gKtE#_Vt9TT%3*7UrndawqhC&=d8=|CiN*~ZR9
zryP8n4e+138qxnl*?Yia*|*{2ml2UwsgThSQb{thl}a`tWGC5?8M0C|R8O~+J+im#
zy-L}8&q7uxd;6c?ThIIc)_?iD@8@}*+vUEl>-?^B9LI4stDJgI_ZufuD9G{Pu?}l;
z{TKeP@|rvaP(+(S_h|ymSj8t{hhHt?Th-#Iu8ra)=EoxhqEMy>iIJCViV>+G$)Sc&
zk{bgF5Jl;&*Qs}aqyfVDZUBVY$`ydh9WL{w>UPH?CQv;FYB?qx@2Fd=X%G!kf9#u&
z0MyNMb90k3GLUWI$vgY{k^#B&lFgK8d6iJ{m+y+B%RAcA86tgmaXy;4zh{OXIOO)XI7eo{fv&pp}
zBpzq5+%%M|W)IKhlq&m~#3tYoW*uEz
zT}u(LK-$IS$atD&_RYngjWa5{2px*N-y7m3=-h4+o)+Qw?*ishP*Vnf+S3JLRHs7+JpO2rPicY98Qe01bv$q*Run}HDUS3|($>c>r
zRd@JFeRyVx^~VwFb`Qfn(+~K~Z-O^m8sxgG_xNRYtXHY2wuSA$v!j^3o!z9%@MZ+U
zpo8#IwO!3*nze*EjL#U#;#QOlq!{E1w5F?_j43hE0i{`
zw#6;Flza@gOSON=OYW$+M(>k&eeB{LDJdT$sI}-Sw)I<5+MUYjRZ>cdUykFC2@vTPzT?*@0u|;r1%yAfjTJvF+7WTv_>$#mBzF6lc5_dTrAy;rrRcJ5@1Q}l
z`S#ohkA00*vKK>j(hP3fqCaIeo$P#eSuW6-$6s4s+x@ctwV9Tqf_`uZsn`7KLdm5~
z(!i+ch8f6NsKh-aezZ5u22LS?C?rdA|^ch$OCz3u~8ub`raD-Jf-PC@7J~
zd|hkB%7FPF>gd<5H#8%BXvz^c(^!csXl8pC0P}VWwZQVpvow47ke^Zz3g8Gj3oG^%h@jcsGU!w~GG~2Z
zLAavw+9|@1p5x8eeviX}>~V$Re9PGt$HF`L42eDpSu;vv2Sw#CbD(|y45k744exnK8s
zy*PzGU<9!u0FNvKOklF+xE14q!r5W1N$~FJGv(ZRSGI1u#le1q%JmP6rq~du2Dg_lhRnH=6B}iHwFV0UpT@R3TQ}a917s&BSbWDyv|D|(rrH*LtQ3T
zd)3`?GtR2S`}cL|B4iopYH^7Iu+16d(p)C!IZ20C0~#M}F5PGFjT4@*F2Axc?sJGy
z(<`RR{oI=)XbsT>Rz3~$+_@ki`_7#({C(U~`oVw+H10XlQC@^^@8##`<#7U#6Alr?
zjUgaqY{_VV^?FfS2m;({)5Mjzj*F#Bw_PWMhg$)sunYm%g`6VU0BY`3&-b}Alh$7e
zso8ly5#KOa;lH;ZdAloo8YY)}EXVmYoS-I)A{TUqHNYe$N2kA7Uoqhh8zQzX-h
zao&B^CYcvYD$7pz+`CfUzVPnLA==qZ0sOx4JnP@Mi`8~)_twj@;*%Uz`aD~&q_P)Oy8!4qP`7Rqb%sP$?*LP=D
zw_P%o5^yBK1cDkF4p9u+VM@Ww5}oQ@*teLtxEpw+VIyC+2_R0koyk#BW1~i(OgYe!
z#i7R_gvaO=;CYk+H%9MWiGHsd{xHAxzDu$Sw(?Hy|B#2bOJnj%oW6Qv3suqZvnv`;k$n2(H4hLkJFO
zl;j>;Ppx=7IjX{BxZJPyzBK8vxCot3BsYk3z7l}P%@I^(9j~E(xo5eP+?w@>sKY0P
zgV^VAb^#Zx5L~rCPgZczeU9{x{q?|=fOG1MG>h9>G~{&zMUq!4<#l(W#yiw1gMaDq
z5_db+aP&L8Z-<#?xd8P^PQLodbLh#{p>dR65W
zs?8;ksw=hb?A?|o*g%xZ{ZkxOrO~E%9^ytD+GE{_kFwGon)z5@JpUX@vX(
zC(WI@9(H&!F%kkE`Bp-EHM!Zs@UZeGGmFKf;36a8!^N?m&+54H1Rp}>sKnI;Q}h+|UHqnqX^+%4Mlc%Wt%DPYT*MyZKjGl@nnSK0&pHF~#iX(_
zw_ElA+6h&snXmLJdLx`kZ;Nkm;J+2
zIlDk5)TN~O#?(cIp)Y`&ndG{K>9|IwNP>a)v_ThOWX8AIdl6p1DAYh~-oTCPye0Lb
za95AR@TZsu>Iu=lf9gpwMjo7xhb3@65RDBy-%fSCH1qVro0OE4&Y*9JAgxGz?wGc<
zCo?2n3_5pFnhd-WU)9j6ANQ;Q(}v$PJ>Ii@pFBg6KjfSOYL?4|&8`Y4&|o-zeB3D_
zUM@HWVUs}x7eziZ8RcTB8;866{Et|uXn=8e|3**J3w{#CkIx3oZ|;FsffFEK-mi7{
zuCvSh)>4A_1y`@Pd8Q|bC9Ffv;de^x#Cd6{i*e2X)XH&LeJI@qXQ6gZLxT9WsdO7a
zkq=cJ9kghd_#bYeTv7_BrvsVcMiFF$rEzTXA+f5-YyLGb8vuGj@oRzz*2Tyx1jWJ!L&PomnC0#9D##*O)S6tekZCg5e`fOAQr%Nw6$I{)JW
zA&^mn!D_}K~~isQh?KtJ?jLzVXEHFLJ)ZQX^%szKno<{5;4BK_~HjU
zUvipgX3yrl-U;#5tNR#OU=z(jkgB4HC*|ff*Y}q~qHoy0=LxPU4rr>8=I5?+Sgcne&Zr!Y(IcHvk`bjq3bg<(##Ekzv>y7~k_{LJp!2&T9q3=G&kAHlnhB>`aKvP*cI9QC8{W
z{1$YX4R4u*S!XF9R85=OB5-k2n4mMrnJ$G6Z^bKOs%iX`qy#i!KkH~RV;_}=a{IoX
zw>gurO&S=C!H@
z;VO&OE(TiJs$6B}9=d<0Ow3xJa87-p>=b(q9Lz1kWQ%}<
zejT_D+1-;<&9WIjMnJH|#r_%nDitp;2@sluaUYL^c!(VxeMzaPhjxko#y3&LARUKb
z)+ylIO*(FZA(101-39=8^@WuMICoo)|6qi=!+VoYJEW!995I;Dgn+4a=Q28g
z3E5%HGXdPMsR{Aj!nYy|x1`&q5+c*5+7o=b;$>i8&ZfiPQU7}KhIP7u?lo?QUmA#*
zhl{mxoza58J!rydP
z#o=mW@q(tnY(+EzhU0Gz6l~S5{TW>bs@wGD@NSuc$e-&Fg`W$SGlOys3J{i{+BgmI
zmNIC&e(6)CifFz#p#)r$xITHhOQ1D;S8FwW0dTgx#W}jPOj{iqDuq+tu2roUDvcC)
z{olt12al*#bQo&yv#|ZmsZVZyB=a3{;GgN5;JmM#`tCUH)CEIrGLDrL56wu&Aa#Ol
z@)_)_Lgq;
zH{ndbuN$L0O6```*GSiT>ai+i5BJ{<#ozYNGf(hdL4fGW>y!H6-eNan!?M`zV%#q*E9dI?}k6(CCiMu|%_@Gg8
zeLvsH$1Y4hAEssQKb<(dV0Lq#y8or7en0xhJo!VjoqWLaZ7?^S-8TE6c#CZGnCbJ0
zBY%p8ybjFvGHKt$bq_FTe-l#t=h57IiLUk6a`Qek6Ni&)wk|1$W!G$k>u+y8D{Pec
zRK{-*as5)q_%Th_xWu<3uFr-KYpbuWl?~fN>Zh?0c3e@H6_f6CoxBxH;{M}@-eB>NhM*&Gl@DhFt(Ucvr2uIz>pq
zSIxnJ>J4{R;Iv=s?%8ELUP5W8WAClly2hZTV_JQ4S5ekF__Ub?i)Hykb^YMa{XU`7
zGIp-4nZ5}(L8PUNQv(!e*k^Km$nzBduJcOc
zFgMg*Jt
zGeDsNZY=)6@LO^9m)g@#zCeoYzA%ynv(Sv{3Vv&amDSb4f#*FWUM0x=chSHKH{?ys!cJu6oHN)eVS6gRxx+n74YO}x
z;@*cJ5J7?HzXEvp7)HkhFWzMP=$a8^EAVfKkTZWjy(IUiclZuSNQU{d5Z2(0orpK~
z>X=|bOyFO$o^{W>InVNUdJjzeC_~v^P%8_o{tYr(O6170wtMk0+F=qp_IBV3owr;>
z^Y=mxf!Nj*jh=;LA6U1b`3rv4pfA9y$H-j8h%1~F(g}a+?_HbJL6hk`n(*-qllB9P
znmgTYe3eFR-lM8kj((;tLvwi}*9x6gbZ&!HJM~jI4{pUe^Lgi`bmo=z)r|0%j=nZo
zKWX4P?7hA-lzpy1u4aJ*_TaHjh9Q9(7M+M=KPs=~u@}g-{r;}V@HLa2!ZM$vH?RmJ
z)evtlGZ4p_gkDMIN0T`6_1AqcgLGlaF`{g{$8Gd!=)?mnhQF4iLYCwJM|D92v~)c_
z{&&9EY9OST|10>kUt9ZjI0VcsQ%oXBq|bZT&0zpI`-z|Fs@I4X%{zs!oXhMoSw%w?WjiQV>749blpO1yyiPob;d9LBC6Y23WLEcaG0~T9uENcM>UWd@`y>
z$`Zde5M5Enx^f?i-7)YXH2*)n`g|(x%^V{JICqkoNB_$A}P820QCRJ-_%z3
zP4w*9{<*fxA~*GFR@28thdPZ?>OU1;IPO(XC+_$%@KNP+hNpUx5Fb?bFI7=IyI}vk
za95g6{8%7M;?|2B(TOWKzOsqZqM`~OH@3qXZ0)_uOB+p1RQ5kZS*7`M;~fYjcnf-h
zPM7eD10P2S2#*1cJL`_skc`Q7UN##9`jIp6AyxIPHknRKBZ2Z~WQR9&b|I~XIwPQ5
zK1%RFzWjF5sqzD;wLoz(>EKP;n;8Xb>6QCyw!|^`QJReq>6{_Rfz)+ln4k(cGDvwG
zIV##*3A@|FyPaRfRxbUGrz-!MUJ_A^TyHR5`dv+JK3ekz%nZn|b|~*JRS;2gK#KoZ
z`P%cc?O7}8yUmD1xn8EXWCQq>fQ3v+m`4e;O}l&b5bX536v>LJsiY@R8%T!iC*sc7
zRZ|Kig0mDcVOr;Z7QG)dbU^a>rI4}wDJ1odIgOO%iIVL^Qzz7^GN4sS^P;MrUIrAV
z)B%{2$vOpk>@0RKG^_fui)CU4h4fkQn=hnpoMeQY{tsaqDp*OkDY|d8POUwO}vGXd#au)N2?#%9z0
zi{*yrwSzVFit@KEWyrM0frQ!
z^z0oy(`J{RoRZQM%PmX$qnp>HRCoL4LR*^mwY-OsftQa&821D__V%SSNESxeS<_3G
z8EXu+-M)zvsh%+r`S^X}Q|0sN5Te(t)1=Ic15$6IT~d~vxSy5APw3!`ofM3E@;^+!
zpS^T9lJt7$xP7W!bEjEJ{`vahyZuIw%SvJmSU&Lm+GXve%j>S4I3mG17UbzDKV``*
z@GuNt`XLJJ%`)_fEj4JhcG-ny5@_Rdh8>UBaZY<15)Vu(hvs3eWI|Vjk0`K1?Brwy
ztPsEU{|;frqZYj2CM1T+MhGsYH$``d9GH07FdPt((NA~S44CidW~?g#~&6%56_~4EVR;K
zm4;O}^v^U5?cGd$PqfR2!`1-V0_rncy_p7*RvdgStZe}(De*Ukxb?HvFCo@1h+7*{
ztum~KihxXS2b^b9SOvIP&@NJmT>H$9SiXX`KbJzyp~f+%%;wknt2cYIGnm>PgrQvXAh(^x$Qe*`@n;Qp+n53z%Z4?J0|%NuPpD6L
z;}vP?3J<;2l@a*=89mN9_CsWiDs|Frh#U`9U?ZO3n4lm%H^@%e7KS0%F4LpW2hB`O
z{+V!s*z(PrH$o6u<`{mZLYO_IDs|0iEA9krK??*lrS8bIz8Vn|KhLoKzlN5_eRLe5
z@Pv-3^s<{S8uwSD|lj2
zR!9|2p(KaH_s+e)WddblTrAY}Er-iWQ~QM%f+36OZmMx)(|WY7x1BQOePruV?f8|(
za&F6uS)z~0u4UAB$zKW<{H$cMCj7(IiLX*N(1r4&r9IypaxPW#0Rwes`p3gv$D4Nb
zwXCBp{shpHJ9TQ1h<%>u$f0;rrKDcf^St-dy=V5)%7Omx@;JDNSbnag+H2OS6>*L7
z{0?kBRbN5$hY#wfW&)Mx^IeMbb~oOd2^fAWQN3xIpm%5Xfv-tivk9^4{&OA()Z%fh
z4mW)S$~Jg^P=D_f_=mRbSzW;Rp2OOdxJ0hs^`xlw_gS+`Zf#;_bbNkOJhXKWERHwu
z6CeH4aWAEQ$(LR)|JPi_DYt~^2w%%@!NznO_nANGYjCz@Q>|b6T})vaG-hP>^neki
zmFmpx4}sB&T@xK`qs<#(cfB1SIgnQ${Brnk*LRt~JRiZOq_*nB)J@XrviO=FqQc9c
zw?#18i63tNdR~=#t6CpoF+e^v!9UUHe{1A^{&Fb=x{tvF?_KfYRI{zszc>(UlD}ul
zV`j+;ZV?D7{(d0w-{6#DZ=HLL{d{%zuao(oj~@K%!2f&0$GE)&If_azbBYrG`Z6jI
zTIXsu+f%{g!{3*uX}tf7iIsscmzmC25`zcqT=T{W+lBHr0TVt4u6BRySM^ysiI~Wmsr}xaBV6kv#aqz|7C9Ko<|W
z4rIZ@u8@Px+4s>|#
zBysS;Hw&k-)C_~GG`c+Xh7`6g0S{a$0SnKgc~^^EZG$hBM7B89k~%59$%6-wDuEMD
z09xqFvkXnM#FW$`{P+LaOuGFyRwcu`T;n5~0KA#8O(nouC!p>DQOHG@T!i>2#AoZ#
zKKPe}f-7OKwk?p=$&{H<{$fDw@x9tb5d~g?7h=spP6$gXC?h_KdNA&V
z#bgjeVo{7Mv!H0LVEx~y@tWKI5A&PomnV1`)iG<_Ykcs6B5AVq%QlR$5FjD{-@}EG
ziLi!KUk%h<*&$%UJZu0aJHn{=kVIlH9;b1_k9{3Ps2+aWj0&*$(T?!`*fLp^o`{?6
zjr`T6ysXOSpSr@$e|x3}rRJ*zBwv1bnbkZ0X;9|e4~hVL$DZVAaxP<678i&n?r)#U
z_0N`Tn9!2csD77d(WUBVWl|i(yJM0qLLJEBQN!IgKSw?k#@C~e07>e((-+=dG7U?-
z^h*3g^%LgQcNbqZd#QaGP75qb?N4cu2Brz7U;{5s7zKHvYhyP=F~~K{0XuGlxw-K$
z^}jEH53$DKgshN`@Dla-K$Hm0NNAk)Mhbl_7%?VzB@89fAU|{p0z?cLj4(t3SBfY~
zV7<^2p12Mh1cpfzTHBC;De$FFyeUuy2vg#MTa2(CtENTaW;C$`L=vDtz_PTp*gS)%
z>)`()RzJjTNRll?&^DeYxWQv})m0Dm5K@Ms+OETuB)|HUlMkl;BM+E7Qe`
z$w^WPUI$Dys_=r;NiLv@kc=Y&R6|1kgfz;0gX%(jNC*S+jF5|k1T(+9K6Z>U7|?Iv
zo-?~HDMKFoqOXrHc?_wN9#bGiL;jq$SEQnN@mE#9iQ^1Me<}=rDwRu1OOG{DryF`l
zcriHdNDiZ~hGgqpI_$~a?3NbAQ4Ch>X{z!dHb4cs#sCw48
zk7-*0Yihl?&4u~(h~Goh@vEP5!^WMc7jwxLg)cW0`EI5){m#3>0bMF|$tA<@1wHva
zx-~Jl5zcakSVHYs-MLKY)zuh$Sqh*+<&eLJX9vy$ii4mSh1`nzzzd){m%lN%3bIIk
zcsUJ3O^L@xf*oybF&CeFKOltsRcV-3Q>BW~C=Wr^v>q1TFb=m51X-lJ==(v8gR`%!
z*?ngbkC-=YX6}Edc^!&3kRpMs(1{JWGfyxQ$&{BzL2gG&OH_P38^kb)0GaxD^G(}_
zONP8=9UM?yN-iwa1V0R+`YbKe;He?Uj;p;dA~y5#nO6{<$o$)LF2w38Djy;Ilg2^Z
z)j7dGyqb$I{&gg&ydK*9VEFbu>+C>b_G%Go@deUOu3`noVUN7sHv5N*H
zS5JVs0bugD+es%WN0DY1NF)F|36vV0-Tj2BH`{5rk6lbm{**!31(l5c#R(50s!3bG
z|Dn2>?&I(KKu^k?LDboijDgZuphKZa_8s!NkWm!P@*u(6ZhCPWTQxuSrMIgeHYd3ZKf?k<6
zFqj@`G7D6}QGj7}wJ5j!_1$58mgkG(6h|k=c3JYa_G7Y%mw&jOyF!Nvijo@0J!8PO
zK}f2j8;Ed2)G@5`A-vMSc?yTh(zlq^UZ5!~`$cYDM;0pk^TukaFfBUzDk`JmcNbxQ
zL}~aJEms^40+L$B5l%m&W`zMWXTQ6>im`?tWjPZ319WHwO427ZUztp%xwTfK*k}I$qMJ2q6-v
zDaN8kZou0>(jh*-zpZRQeLWFLG)-E90@;YiyDTNQi96?6877O~zaonwfHPzK-KG7W
zBO&)h?Otu`%mrkS2(62@>?(sJYIlTtC9CtO8OH0ha33+fa4RHN0T(sRWV5`~t~diK
zTPik@0@F|tJ9pu3&MinfwIj@Ml1c(+fQ;$t+#r&y+JQ`!4kBd*p4W`&>gpZ&V9lG&{_s1k^Ja8nqC5^(^I7FI+HnsD22uhOmzy^MrNx4VEr_;sPZwY9a_ZWD=$
ziup+hKwc6uj&*$HCz>mnC6+#=
zmcg3+=@bEd`xK`@)5sGR>vJ)J7C3OG?fidDrBw;{fVSW
zbsPudpw6yqRkj`vdtAdRWeAfS7I{JiqT<
zB?bGpv#XmNCeJWWg%T*o!Wj&B9c!gtpz)1F9AA&%^_o4gnE$+Y^Yr^$lR!W1bSztB
zLMN8qW?%QU6c-Kvm-B}*+3557r$&6m3HUDYHHFVj`3%K(qo&_<7nX0`b_ChAKolpRBj-Gks#ENoX=7C8S=`Z8XeN)7|&UeUZW_m7v(vrG|wp(1vT*diK(s`T61C
zE<+OFwR8)mPKY(k7nzl?oNq4ubLoND0JBDXiqYf&XIe>&mxtE-@)yETv!%M)<8`Xk
z%Cm*kCpPMsvGuZH;fpPxqTDr+M|PO)R-Z8066lm|HvTy+-7K=`8(Vt#yiXxf1cJ3G
zge4*f8qj3zO_l>y#JCw=ML)YytyA{sO6eO`N;=vjJK+ke+n40?EuaX*Pk6$Sg0@d%
zC!N;(L-o^(7-t%w8DW}qLn0;_!1rd5Mk!6vhZzLB+E5!BPsnE_=H=aC54XD=x%rm<
z@=cX^xmH-=cnKlU4E07xb^z)^U+Fa6(z}j>_Cc&uKwh*+lAo
z(#%`jZOM-|Z#9|CtkD4o=?Lk(-vC!z+(iJj>zJx0(LO$9@<*}JjY-lUh${90yc9NS
z#P@`Kz>}aJ=xPY(d0wcyDZgy_g6sG>y;g8{(g6B8b7NlI_NQF9bro40e{LkGWTy&v
zR7Fy<^WsQYV)%RPt1k`cO5ry4UGv&@kD39;Q{*5Fbv}c{+xM8v=;1Z6`68FMn(AF9HBaHss_1
z(DN><{oP7MRL3^m`HmcTq3}3{?YCQ?bX4<j1tvkmLx($FJ472xjoQj#9jb*`TE_R6RFz9?lR%DeTR_}Ej?ex^9u
zMzK_?rJ~Y)98+soA`GppBgFoZ!k&HO6uI?!kwDJiMaTWM>s@zkV*D++D2MwEIPQm$
zMt|j&db@1DL@AnmesT2vo961bjg>}4jv>=H7Di%c`syblxRMR!%IB%2Jw?S7$0^)w
z*F{0Pu9k;Mrf!4i+-K{KLpgW7wN(vuKNR?U9?UDudQ!cm7w;6t+Hc-CbD1}AqH;~A
zMa16u<(s6itBc9LW+hG8V+W~|FxLhlvpXr7qUAYp#bcgV-1li^hF
zYLQp{TAG&SaXCAZpxQV~`}N)t9!<&7Gqs8&L4U3_WcXDUUu!nc>kPOoQlkn%g`K>0
zuy0oSv+wIXBGh&Cx)ag<*|+G2yiEHyJ7npZ4ciuWQmUvwCz5J}%Gfb`K#5CIU
zJIvwkij-O=9Asfn2(i!dyycz*d(T95_$m?h1M*sbpP3Rp^OaNZ%;VH$Plnks2!xHk
zWRbvw!{Mp<9Qn!;g6MBi$Hf<{&5QUN<`)$9L>!M^x*oYXI-q_%fav<@Dg5R&WP)R=YgG};O;ma~U;DAk_^
zx@Vh1`0;|*mc|GE0Z7vZ|4MDQn9z_XqX3^q3YlSV()<8;>YiEl{u?1A
z@pk)Pzu?f`6vEp8+5R(rib><=i>z8PfyAYCqKm_;h6l0j@oC8U8eXn6;-{}G=`!dG
zqY7P<(Wjr!C5taA8GKV|B%<~6m+{k?+g!)BYh*+65<(#LceeWQMQI%ui}Ca4`{iI-
zouO!URaCqJ=Y7@hWgKsrSRl*2uEA$Uw~~w^4F@l3x=FIV(fi_UxxtjT8mVsnxLHe&
zrQX)SY53W?Tjr+{mel!m4ib_}Ydfh3SRpY0NuT$sbTH(Y>b0E$)KLy^2F8D91OCN8
zqT+ou!WTq^pgHpBIxInaAyA2u(GmJFqTj0&5Yi#^g+v_pL0;@c6Bt_%pHArnl{D1=4OLmZOKsD!f1@a^m}!BGsMgOteM6
z2Zp*^ZT)Zh3G3xVMg;Qe_#O5g{o`mMpcarAd`O$4(teeVhLsA>oTmAN9bMH86rq88Vy{f>znKB
z@V*l?#h24%)EngJ=#yW{Eq;v42dl|*bl5jvE``t%5@E<_d*%DRMTRm>pR*7~;)U3M
z-VRv`e)dCK$x}XfrWW*84^$A4_h5j{(ZTmg$BYL6DyDM^%E{tBc)wGZU`7lnn1
z>K}JaoHV*Z@hL|K$H{oq&VgQhlMXbd{#vXGKZEZ6`^L9knj;sQ#udL$feB;L&I3O*
zV8iS9%C1B%+M4l`129Ff_n6hOxa0RHlyZbL9jsjF3<{l7Vfx^UZysj&-3d|vr=BA?
zQB=qW(!am=uVR*fTVYXc_$LTRb|CV&_MG(YBL>1iZf5ZZ6z_kfTUZA>3R(7VA|jQk
zVL$tWr}d0~-i!Be%FdFV$Av9u>j!h6zCQmvAl}ApwP~b?VKv(_hkfn&lB1P?+W5Sa
zK&D)b{ax!Drqu^7)Xr15Q3lNLcg9@@mpq7q>$G%o(t-4I-89U!YScu#=INeqUby{pV+AE0;AScYVK$evs>%{uG!!5_`h}|JJXVC0_V%c^*Y|
zED657kH8Q(7D7k_BhyJdhGj?phzWr<2d;v7CA49o@!%Ojs&EFwF^Mj~N5{$dO%hoS
zU%T)y0~vp4W($_{!p~NGyMsqJU~1wM_KDzq!`H$KI0M|WmGBroGnXOzos)EI=z6)t+cnd;_DpW)Ovcra+ZqA(8P~*
zJ=}^k=ubZUx&&CgNh3VCvCcQt=SRC4@`9Q^pzC`-MYFr7PA-#;#I?<5@Jm7hQQv2yu-O@CfD_oV`*
zJmC73yGZ?BxlOO4GxT8_d}nqh^OO|+wZhfAeJ~`0I`OmXqJx06?gYWnQ_d5WLd9Mz
zEOmQFV5{&#EG?;(9eW0TAQr`U_TzYs*
z+et@0Z+4mSh<3bbGVmDP{GFvFHx%^=fz>`iAJiEogNO%*!OC7;aDrhUoiid$+-}m*@o_EDM2Ar1y7~WjGD}{WB
zXInJfuvjo9%YQA88xcvBj
zmYO>d2hj&?w5WE+zBGr!Go38mc-ME9)Ii8qR-b;wS?#kU739RwU^v60p+gF7B~Iu$
z(d{KV#@89?xY4{cKeFi2`&
z5WW$9(9Bi?6g~<9;7sr+fX7tZ8<11@i{UYo@o$ZSguTb)MB_(u8*Q`?P9
z;R3n3$K*9O(BQbDdYjS<_kCbL8$=bm}+TQM|JHX5Yk
zO@ZHlU{lN0EIZZ}G+$R;5hMoD68GvxfGjjYGSk3oyqzR2ke`qsm2xMo4b;R_5yx@m
zS1(G;+wKBK+JgU_G}2K*LIt#xF;9l)RgMNo;+Nc>^~ug)C~a|+OFI!!2n@fzRf8%7
z*a6C7_8{MEzP+)Gl(0a+-|@&cA>z&054*0O4Um~K*V_!)na!vJFf3AqB3Z(~joASkm8`qgGocQ6pS|BQ8*2(S5pmg|Vv
zUKwkb=@+3dF<1neoJ{IH;*6{HW1j)6T{qA-5`c;}iSkcCkl*m{2P!A9;l-re%D4N=
zO{<=fmF6S)8>AmKhLZ*H1W0P50tz&%(SZyL>iPwxjRe%g2KqXs>uHHW50e>y_jLoX
z(+<)xz-i+0^?5@xMxBUfXT;RtapxHE^;mtgCz4=AnQU-4T$n)78a^dQb8gOQ2A*6C}qAh*~-9Y2Am45&Vhl{nwp!P-Q9?U
z#mC2odc(2#Np1|-@GzXd!6E8Ff+~(cHmCNc-Yg~z0;0aTxYas(`0p=lSI^{Yc&t*y~|&}RqV{Q?G73MrtwSP8>Gqq3?F
zG@mN%7evzafJ&n3D}zovDxg(T4)s#hlLUxsmfzlG!Q2BP7l(8INgu`-NDG!tzI{RD
zy#u?UYLk`Ney;4S(*+H}sBNynl{pzY#T8N8h6h?#XJ=1_$g!Q74L791Fj`|WJMvww
zAkS-z*O*Q`iC)F}9M3Mp4x*S*vha!uwgxxZOh*R?nLgnsGXR$BMlGBWLKVgoL=iju
z6vdKI1qGS~;KkiLl%}ezzo<1B>Mqjnq6Otlq$!99Q|#jFFXzfOA8t=diBI>hsU}Z;n)eFk
zGY>@FKM-LLHU_$dZP`m5OC=f{yglXVvl8@pMv8CTh%)7uDqzGn?&>tH8t;70iA!j@
zb>$^xL8^r9K+lw<^4-mH7~mOH_%R3IVyO{So?Lb#gdHEYI^&x(pw@>_
z*+`$8dkA1tTt6E6LA!Q&q|pMk-M*89yH-0ttw=0pfFlKhA5B+PR-=D~EoOhG{-SgZ
zs%0sja3ogMQ1fC2;Hf2%yAu&VzY?(DHui_8-P3d;8fqiGeGQ8usBKppwcBr^Qm7ER
z5=NoaZMoDN2DPOfAa#|xJKEa^FhUav=ob?OHGA1+@!b-{v4{L#@VpBY*QlIbTEY&G
z&qWA^wcKj^rz$41ZM*7g&9MU>+*yhQh~F_rNjpNk+>-Px+FS666ya%geEHv}X49UoSUkygMYdh_^o{|`?_?M^0WusKicA2tFh7;*u`JXBm^DAgYiEp&Ng9Af1
z$FUJm=4Yf~xvOv<(X};h_z(@}7-}!3GtVDWx9Vz?-RpMPg1Ux*HlS@V=eJljee#_|
z04wxbIJD5beE9>MC`gmtXqTvzSE3G=Df1=@C#KvuhSepFT_68n3mE5I|8EKy<(tg_
zNtX@c>V(Do5zb#lC;_YM=!7G>E~*Uzh4i0TvBTGWD*w02#nUGyytH1fPE-ze?qAW1
z-yC8OR|xf4r94WdxdU>A`d2YkX0Lq$S4(XVfRGR%s@)+08Yn|+NA4^o
z*u%-<-`5Z$(%gO~NIT|SdO^(j<#)8zlyBiGXP>u##~c)4F7C+cG3Yo*drH%al+$R?
z2LdiitJ*=)yxG}HjF-#psvc+=VKfBkq!OFnJXfO|CGyo@=XS43xD#Ql&BpKOlB3ir
zejD!r!4_QgwDKP^Eo}SP>Ai2DXWLwS?wB#xDuOuJA##hf3YAb*&
z!hupZ$aw>O5+PJ3qP0I1@FnCkcQVslQjN@VK`?
zdb)a6S9l;o>UlqlLjE|nWNek!r)Y)P(u~_xrwPws*v9ec)$i6sp`KjI_vlZt*ok6M
zMc}+1c}~jLDRg50sD7;fT*q^xDy6qxU!qBFcFlO&yzHZ9!&+6&->08+Df&Go2MR_!
z!FH!oYqQ;aw46^8VFQqUPv-a~I=XQ6h6d>kWl=+obg#be#5b>YAK4VY$u≥j%($
zNWRNlXaA*+R##lR_Wq}_p`xQpllw4#U=1b5{KkBb9IZNlTd1P)tD^F(Q=2b4Z=l@c
zP9(udakS>yvSU`i_T?TjO2Xq1dVp`v8N*F{zNzjJjVaknZ(A2ZwHc`!SxP2RGw1W4
z|GDTf*(X3tJvtm6n54?BM|t&RqkcZPQQ&z<--Z^iz}&bB1qSP*aOYE85Le=Cn14~_
zx|GM&yJzjHzp6LRJ_mZAveV_%99z5k`S21yOoyA>^>=r7`-?yJaMo{9j|>~qA2p--
z!a+yt%`iiJwf#QHRn0upj)H>ECIip^RGqop`eG=tb#mV^hE+%B%7+?+0&F*f)`lsH
zd${<012{+Q4pC4LCDvC-WF?-pjGN{9CfJtS(%!xj7SY|zekrVMLU5vly~Af>y=;Eo
zDcSX*$UFAY9*x=Z*9wm6MttJxE*7U0s623e{Nb3#)HUq7WSGdL8sW{-^jL+P!BrZw
ziuS(mk!IIfmwDKj8vxc+J9)A-$!)mCmwiothh4Tyi0k$Ucm<(#TYpJiDnNRKr>O;nksk{C2g)96LWuJT7@P|HsJv$Q#^}
zyw`5pb89&P6`g6pp-;DWciz4$BldW}j>Vkx_xPjJK3UsUbY|DRZlXpj*`~;F)M=o<
zU--w`l&*?=zu#tHW#v`JAUVm-f%kmxBU8|OnmY{%X@61HJ#cH7;NNG^-{7dbo~z2K
zR#*0xMI4nDLxw(v80O{#-`cF@87d#m>QjupPZe@Q5F`Be-URKfkGl>KmL0Ei^`P1B
z@xZaBM_zy7ECCT)s6PD%@}o~lqBw{pc%L2O#-gC<2gU&v9Ln!9qF4(B#CWvNu@~MP
zK^|o8U|;B|DWSaI!{o&RCbNEwTXR5jzZ^gYYz12*OQ5GjC-_nF{zO2!r=7
z=Ap!*H2*%AeF9{qOpZbX`tP5`KP^7snFNXPy^Ez8;68sJyGR9`3f|N3e2sGdxyNfY
z{41f~$?a4B>6sJ-gh>2d#}9FTr{-2$x>#`^0(B)?!V}Z!B9CuFzL3|;X8*r0c5Yk`
zlgLIF5W@v^RQmt(e^sbH@;S+^mP$k{ad5v!;<>}TSX3{1cmPP+$DxOR01qG1>3cI$
zqO~D}FQqksJ8gEjTpS1tw{WQ%S*L*cuIbghpX1d#@trHM1lE>#!ZQ9-fuYBz
zQ42{ND{7Dij!*l@WkQcX(9rQyUS8hK$f}$?$N8aDy>c<>PkJF6ubkV{0VlmlpV^acbifX2N?$KQ=Dz3E!w&C4MPAOhhdJtJcSa6jGyZ;ua9vn<)*ik#OixxxZ0vPAWz&CSh4
z=z917cwy^s&q&~(j{#t|F^;nk6S5{UI&Mvc8+)pujq9U(HjJ;vSP9fzJK$*6JZW$YB
zuUv)5L1)<<7-q}RfABsC&Hy;WrLC_o1mKZ?5uAXiNM2S}7HRBKxba&Jg+YiUaIxg~
zH6%SQ0-;bLNEI&h5AWo)#fwxz;KaC`4GMdKtn1K9FPIe?nl-=R2L&9#Cu`QYG2qgr
z_CmNm;7svX26Olipzqn$Xt5ogxjszGW1|K>(M+
zV~rH@vOyxBwHDU1ckVWz6WhDHg96T}$HT~@esGYf61wNH44~-KwfW;L5`QKYJ!(~F
z*5X6T_T#6o(}{r?fEn;gU%#r_SZ97e3}sXX$PB?tl`bo_(FL8w?ehSttBVkI;Q>=f
z`cRESFWiQUZhu}I%+?)FTlk!ksvV)M+prAKnMO#TwG9r6rs}NM4S&
zh6Z)~Kr@np1W#EBL`J;;@I0FlHS_mz`q1Nifo1*#f=;E3%{_z9o}Qj{
z63L~dqU9T%84HkYy5rDY0M4u}AeX3IwgK?G2tcv8?Ci^cmUJ9ngBygh7J`}ujuqTp
zdEC}wyW0v(^GJjBUlpvuGW@i}M{dlMw!;tlT%XKq5U5pn1;M*8_Hl
zKgi|2wMw3SjYTQLA@vJ(0%@Fb{^N_n>vg>&BO{rS?$9;-KJ*6@v>CevJFg#r2M=ak
zRLl_rnewHTmH6CTK4>-G3puk)`zv*a^FcRJmCa(D=N*Lb;VX=uQwEUUa{}UBTWjlk
zFh@Kzv`k1~M{^1y*=z_wMSzd^aZWW+oPe$V`rkRpAybjq>r2nRP;C>wWkNzi!ud|B
zztG|3{f(m~amuP;dgPaehthCTNWN`0+Fx
zABIT%JnT^oJ>&sR&CTlp1hoK5f=wEhmkmr~WxWizef9OP0*1@5BmjVI<^a9y*lW+S
z8%o>!>d9hdCy`7@{>UQhRE73XR%x_V-yaiV1ofkaZaw#KaQ4}xjTY_10c51TZD&wPFTKxrDX$d$o^`4wE|
zHh;$6-*M^eImHHakDZ+zncAA&JfaX3u;9i%rwiq_MPi0Y-LN%J%VXCYA^W7IdHG|>
zmFZmoqiW#}7f*L2i+u0Px6%V8!nWStV9-6a{+!l1zATCoXfjS;Vbu*jrQDb0zPrQ9
zz7cVEO3@>$!~6*mw#dj({=BAc3;N_KZPrEvfq>)tA?Sb7A8t$PL_-O`_{uxbD2kv~5h0F@mW
z3E*MN>O#lIrPWn-Y1Efo1ZdoXK&%7UHIMtw7MZJp(~n$8P_riJ`WOPyKoEoojVki)
zeR)OZ%B92teCI|;``V6Fcp4nYfL%8}CFL9vkHL+Fn5QQZU-=&_mGt*qj>>X&ak2fs
z1|04SualFJ@%efE(UVqQd0^EMxW3{2ot?)1KsT&-zZZDy>mOi?V_w0{Bf#EQTkc0o}#`3|!%VI)6C>daHW!85YdD1D?bQD7eM|Tvb4*Jp#E_NMsIZ
xu7Oaa2(2kYiq<^0N&mCIcmnMhw7_Khf2L6Wsh_#}-d_hf($m$?Wt~$(69D!u>;(V-

literal 0
HcmV?d00001

diff --git a/dev/articles/a1_palaeodata_application.html b/dev/articles/a1_palaeodata_application.html
index 4737b65e..23c2e9d1 100644
--- a/dev/articles/a1_palaeodata_application.html
+++ b/dev/articles/a1_palaeodata_application.html
@@ -338,13 +338,13 @@ 
Fit the model by crossvalidation  )
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 1 of 4 resampling: default_glm
-#> ✔ 1 of 4 resampling: default_glm (258ms)
+#> ✔ 1 of 4 resampling: default_glm (276ms)
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 2 of 4 resampling: default_gam
-#> ✔ 2 of 4 resampling: default_gam (671ms)
+#> ✔ 2 of 4 resampling: default_gam (667ms)
 #> i 3 of 4 tuning:     default_rf
 #> i Creating pre-processing data to finalize unknown parameter: mtry
-#> ✔ 3 of 4 tuning:     default_rf (2.5s)
+#> ✔ 3 of 4 tuning:     default_rf (2.6s)
 #> i 4 of 4 tuning:     default_gbm
 #> i Creating pre-processing data to finalize unknown parameter: mtry
 #> ✔ 4 of 4 tuning:     default_gbm (15.2s)
xOV^hEDdG$dq4P2T-BO2FGftaoDH{b
zKe3U_(k0$B;BB(FblrRnqO7q1L`Ugez|7fiRQ$TkB0D2nBYx~-9UGP>4PWdym9}av
z6O_F$_9kY}yuh`@IBV!H7hD=mSnQT*>^UsU2IK|`KlRalhn{u8;0Y&SwWJ)xS9$`otbfVjbs;8!R6?&Pa>Eym;gx=wKbn#s;~M$0x@?<&G=0S?
zVQV3;Ki>dHip7H?SXs#%htHCps|@ifTC~>p2IcKWB$iZj8ZCtV7sOWmNhj@C7#!hF
zXOTbA98Ti52!urk{}RT`WMEhWI#56Vj%mDc^l3J$qHg2YZimMRCGs+hc?oU|T^}Qf
z^ZbB4hQRAtz+pOSUk}nAc8GRI`p|ttZ%9S7>S3V_)49C3D%nbUaD3h?ImfE0oFU^X
zBlE~d6;WzgzNdX;3bk8D|81VrKbyxL__n}#WYpM+R;z~4okiL@j(l4go(Ur=X{zil
zTFEOiuP37NrI0VN<0NXh$ym>b5YW$)jfz-k_DRxZtP5wi7mWhTTPB6YVx-`#hrj1O
zS-&y}Ei)2%XVn0lb^m$T>+A>4+C!&_sj$xc#gF4iw3AHkM2rE9!j*n%G-rb-mw>sv
zW{!y`uonPT8c=wGFl6V03=S>BcpwFKc(1jKJ|O@FQz&4~pd6YIUXc2{-IkUOU6#i!
z4~Bkbu6z9Cs1!XFDPE|Os80_BuLccRm%`q0?t^AW$9yuDk|1`NqDJ(~XqUu8YsRy!
zF{aJ+YGi3)rNo|K_B7l7u*E7dFF>_~#rWq>GzjJI9L1At2a=TxTg#OmBH)wWOP%mF
z(KGT8q`;PJ+BRo-75q1P%-t4WUdfx`0n|=;tose`c+0LT5m$9FjO7!veTWXwsM|t;
zk6#To4Ax!XrTvqUMC$zX_LhGmZnbkG`GLtK-^QwMpP&5_*OkM--}_gs=`LJa6aH6o
z8c`V|>oz_DJtc%Tq!^x%v!2%TFWB&EF|#BZww8imlgoje(fpd~2_w{#X)!y=fIW3s
zt4C|o4l=x8ZW-W6Hu}-#mTTeMN>!^jqXA;2vgec^uxTjEm+EAuGgG5&m_&AZUxsWF
zbG~z`hkX(!)bY28%k;}6^|-v0DA#84yTCwgR9W9p>mClfBApkY+?!kXvGf-Dgayoq
zvfaLhSH&|MP%N7xaJb75VSj3_d*PRb9EiL9wPyJ3eJno-0{{k)>popK){6+_Nn<^o
zWGWr3W0iF{t^5Ko;ReNP7A!OUD{Qh_NGJ!xB!FM_Yu#+o9zR8hL>UYzc?G6|Y<5CW
zD+-wA@j~$aoSwX1XJ6htsG(~!dO~8agoM(4uX0hIfuI3v7EljIdDJI{Ej!|;Qvm3N
zHK-{|el|qj@hjh5LW`z$!Tkw+wFdhx;tv129aia#iAATxuPd{_WPow>dX0;0?7v3#
zfg)A0Uo30u_66vhV;}5I7VH#*p*)NnL}9GnoWV}YZI@|s+9OVfvHMb^2#ljclvvt0
zU*cP`0}Y4s_+lYxZ12(s6S=8-h~k5+Vv|8ifgMkyU|D{M#DbE5KudqwJN!#;f@fAA&7
z)VfkQ=>1gxuhkyv(PcMv$KKES0iiL~?sz)VuBgB`&(6Nt2}x$e-0$P)$zj^7!w4;D
z$EMSS`9f~i
zYAJE4`Bh^*J)d>Cvu>?OVFlrjT2~Q|`}4J4k#X5y!*|LjS<{7nuKbTw<<2hho%>1#Bn1VMm>vZ}9TX;we|cq2F=`tC=g
zj+g~1={!tcfv!h^$9%q8@@6)KTZYXoh;xkpQ}eeo9$FqX0{b)Oteu^y%1|3)g+D0E
zNQX#56Nh#Ey@p}6hP)SBTfwjP=S^ubEqM(rvVDa9lO2Z0tW47(5)3%)G+dd(XmRf$
z4-J&Jb+&)&wJh<-7ypPwh5SHnOAwmM1$}zfTB%H9Z*caZrzXF+YBRBxqm$|UK(WkE
ztj8>`c}J4OQrI|#dh4q2YUi*yA-FcQ;EchRUb-)wfi
z{m}vL<*NSJ&NB6P7Szj1EZ;+g2~8ajSM?vRx(ssh0X>}ffSZ@MjAot?qm5=}PyKC%
zq(pzjJBUIRvbk
z`GzUG>&@k8Gh0*nnSa*HT_;zhm?Ih${zQ>==My
zT(z@mnK77tnVxaFw2cy|m4U+6J#w6W$%jxXt`TMGC;as7vlk91g>I$MGq0&HG+!Jg
z=LgN)-F3XxBh3NZ*^2
z8%99jpa-Zg9JU*t(%bWD6}
zTz@9EbS~-OSBthynZz)neyb5RAXhgcg$PnoRU;FehOv3^i(_G&jn^Mg=>Xo}sj!`W
zwM68rQb{uh~C0i}56@Ndd9C~i#JL}8X8gW&B
zGQ$v&jXO9|L;4h@Tupi-p?2JBR!Bd__=NhwZ%^(LW4+`Wt+%nAxU@-1SHKBdDEcNn
zE6WTmETe~nusBaI*H&6^hDK!dMuz7&7L6p6-=bS>9pHX1`^%A`OY%f+YawTccxyR=
z&;?y2aK0YTBR}EjZGj0ZZh=#|`r@cTzUb-1Sy@;OqXire;PQMF5aA0#M1Fo`NWvMs|$6tp!
zdwSwdO97LBBGl6q_14{RUCDccJr7CzhK38dzsiokl@>wfK{CoCNE1VsWGmNEwBMLy
z1y$jU*|{rJ$OvkRj`?MAk6ERxNHR#cFt*i^JR|WYqmn~kLE!W^G~ECiTZ?!$KY?EN
zc{lHX0r*Jwq1YEWuub65V>t%8cJnVn>n?LoPxY2A}{QA%F8(dezFL79Q(
zc~6$x;g6#?ksXSeX4darOTU@s3BVOnx_p8nBgF>@;GFP=o?6<=rXDrHCd#kI&t-^*
zh$ybUI%)7*zCUto$7s9lw`x+WqkkSPmzpH<@CH_9fa)biE9PGKv&D@m=0>fq`dB_qH)XSP+eOpWIg8HSdy*eHI6SCD
zI4gM^1QTzYq-S@3ezwq0{d53gzHuUL>&H=js;=3yvn(?hwMp~sNiT#@Y4ry6N|to%+oc)_g@sXb+j@6;0vEkS
zLerh%!tE#AM~}8yplLZp{8HT{4FZ>wok8@e7Csm|Ud)7pzp7WLS{$kudP1cYqe*9U
zc3or?w5MSjhoZ?R8zDSx3ELVvrx|JXWn`
zFKwxHMJv;PXJ9r`3Z6FLr?(Y!6KtiUPBzquK2=z1b*`@;p6KUstHa#K&&Z1+Gfl%U
z#$s@V+b#&6#fdcF(<)>IT4jNWcq9e1Z%|B#yuyfn6l>~rpj7-_EiXlXHIQ&~^@c{_
z2n;e=QsvvAXKyb3%|>1~ia6;_ufK7pZ+^)tl}94!SLi$fdS%U&7$(8{hBMA|6M7-B
zxI3OCeBX|q;_oLEXO~FRG0=}L1M*acj2<^z+>|2iiElwn_Ehg7U#n$+UB)WT(RUv_=RekV^qqg64_Ip40qqaicNHUktY|cZrFXO!*XE=tJLvK2;2Z
z2h*M2-{p#k5pAcN)J36uYx{naTqqJ?whkjQZFq$7+56dKtEzlWWb(l^eEE{!qCM2&W<}SD1@v5IiTtPIT}joBf|g(}
zfhbd55rW;v84RlnB#9F_=7KEEYN^18WeJhx7A9h(D;SaoV{aoS&L=s
z-Z5ec8*Ll>&hvdHwh3XE)iDvdQ+fj|W_4Iy~rsrNA0TjFS%_NoXk6C!%y<700@iFv@)7O*CP-)F@mn
zDql8M#`?BsB*DSw?c}f|v{tw&*9?Yls33Ir$$6CJ*^C9snp0kBfgpaeP#B@;}8=t*G~g5A@lY_z;XrFxSuJZsM`Xz=Odl^_4rnnCQ*qcWV#67
zXY1fFy}AA)sBq=OZ?$1z)(Kxj9x{pNC*ner16$+k1FJ*#iB@wC(C26OZ5sRcqI2eZ
zgW}osR}$;BJ%U@%AIo_1Kuq`JNz5
z!+?ujZEgD_+sp?eol-0hl)Pwy+}kD(=gv$8thWrepP0x4oYMzVBGpEY>D9x3iQit{
z=LWL(*PA`@y<>95*E`J_``sfZrd}7lUDvDdGNgM%hrpiAka}UzH8IByD$Knl!Ua&G
zZN#Sc&wo3HN&XCPJfF4HpL)EShl#ZDdk
z!OPMVi+s0B+Ziry{eUV+hYwhGTT=6+2>~u;J}S7H+qU(H{k`4DMT?8+E)IK}5zO$7
z!p}}ify}X09g|*jXD+DzkZML&aEol03wla!VhoIb^sbaiE|@xdH9!OZ-ex8SZ?{
zObo9i%kswGd{v+Ck2!&tzy82Y`}
z3XdLkTTJVPh&E)s2f6ip*8WVrv`1QOUGNvz(jz*Grk4}S%@(bcCgL?Ss;f-~5~ZU)
z*v*J;Ey)^V&Gu(WHeY|`sQ0f|dqNsV$
zY|eFyqNy5f2;j5jlMoFIka?&jlo54#E1SS`{>Vi6{sL-)8cHlM3%`z$Q<>kJ`f;?#
ziko%C+~q5B_T6^9M%PlK86XI{BqNO+THFKKQf;Ctm*e
z6wEd3Y)U-CJO$PmP01~JDSU__6z8;3L_99?O3RiK8)`E384p+VOUyuQu%Ag>
ztfn}rk0T)i{_4q{^beYF&pmSseEQAo-5~RaG{i%K`>Q?&(*#t9vPa3MGP~Q8morbV
zwuXLS`aKDuai9vaD$wy5vCO~RTZS^CQW1<^<&Tf2wdAjDHlKTq6yPuTxvpH&e3+0V
zNQ0_%#0|}Qm>2RDZN`Q+tBXH1e>-u?FH~E7e{93%tLsErr{Vi)gQ~x&uccG%)-kH@VIKi;cv(4RFs~+^T+v`cNJ>1FZaOUXhs=rz-N8dR9+_XBw
zD6nj3a7TJ!TE0JfQLuHdS30L5Gl$IC2?y|_EY7@^LpC9Q5zbWkJ-B&UVCZ4$#VRW8
zA4U{~iMY&J%iOw9^7vDcYtZxavFK=X
zA|_G+*ihw6N`zjd@6&SWbIQn-k>WlGMcXR9Vj#vySji|S3!=`>poG`sSlGbRN!0Vn
zZg~3j;-A3-5q>o)$5$bcM!7EK1ByzMuRedYjJty3=*x4%k!gJ>o4M5oD;+_I9}JNG
ziRS|bPBIvA+I*+&KeJ8%l19mEVxTT{Rx|VU^jt>qpruG2ljX%Dy^5FE+nJ%_0dtDo
zu?wY^Ynr!SC`LRUV=8uD9LA0!)8Mz<<&2*$sH0)lw3FGWD+aX2vi>*0^5M`bn1VnU
zjlt9-Lt?lTw=D02H=7=>|F9GC*^y1pXJ{HnO{|O_-be7&avAA2v)+FXiE&UGzK<6$_~Iy%l}!gVW-jI!z*AcL
z9Iia*GJBiQ(caVZ&^eT;6J8w9-*@JU^f?8NrQkrqueRm~@vWqU)0#)&cyE#>->WVK5SV3_wO+XEfW6T@xEp;Ch4NUzR
ztx<}UQYo)9$8mOInx6Tn3$^v&&IJ9?gLfy!UqV`iBYD@{oeYs?BW;S3b4lAJdPvO38+gU
zHIw~De*L6nlRlp_{-=nGk3Z_U-R`gP^i&FA<=~^#m%-f0qiHG1P-F0xQ9q)$AC8G0
zP%L&V2vo{f+tFHB2JkVilA^U_d~0sgQ?Mz$?zD`cNJqik&hI8C#QQ!7LtnFkh$AXu
zH_$e?Px4f@w
zlZcSCZi3zm2}&-72v|XWs43o@HL3BE2qW4@dH^Z#wdYjt67=YSNnRqb4AZ)Id+A(&
zQg>eNTg>{CrpA`R*4c7Xg9jl{aJ}*8!{NUFEwyZROH*aF{Lv*z2YqG!bO~WE`*Mto%0E1?DXNVo37`yV~h`k7`IH>%HS{o5q=dioGa?U!Jrx4wS9u
zW-g;hRLQpvms+&zhi;6U(#9JO|ZhZ|Kem+TH-lVX;TGL`Zc_QfRCBAs7PqBIe1%HFGANS{?`u;?bd8jNTKDStwbOJ69QV*JK?Z1*S9ZH&TXN&N*)C
zcMoQPGMm8+;9Ykji_M_(R%A;5P$!
zv5B?T4n`ms$E<9(A{Fim4gV)h&&>1_CMne#5(JJ#x#$$1Mds^Aq(pcC#mQVymz$y*
zJ|v$G7wMrkZog9bc>^M=RHHh&q~i0aDS5HGtOn87GMsIYhGWi6H#;|w4d+Q$zU6bD
z#xNR2!>Z;?E(XY>b)!UKe@O`-`(yR`w|`VNg1}+le8irIH4CBw)i6@X@RT08AWM^4
z4EXm4YjjjIi5l}Pr5hl^1j^x5*bp@!wner72m;?uXFh7;ztBG?_
zJSEq~Clny#2Y)zf*V@2_&Am9Fu5|Env2;gd0&53yufDP$hP4^
zUy3iv+h*LTz4!L%^X)~}ToSh(egP!2ugN-lo)EK}AH_Gs@gh+l9HPV%V6$RDg}y(?
z0chm2f11adWPM=_`8enqC*;KmU64q##VX@}(`}>}N=vuE85}G
zS4BDin1P#{t_#~&#?t}^)jIp`j3;Lo?)5JJ4D8P2Pq!=wDY1aqFkb@I?e-k#dIA9K
z=t~QOSmR}jb|r?CSqA&84dz-$^r2z0O6!Uv*{qtrYFPsC^Ju}NyB`2QSh2POss@gl
zf47dQwk*KRf`?C0hS0>(!!`6Ebh%=KGVjh1{TJ|*4q2fnScK6@Dl_u4yX^9${9#^$WOp<$?*rQCveKm`YJ}_4@mIx_l
z;nGG(wh;P?q=}x58?UhQx3M02D#0ORGEcvCDsL*Q43EtF#e6{3=FG<*8AcydV$kaq
zC^=niNYzEW9+V$~O+q9MANSjx2eQ0qgiW0rLhV)PT*Z=0+QJ20&v`&<6^w*%+D|D*
zMPmO2KPjow@BcGZz)t)#RY<4)-)Qc)APV|YoKXmWv`_|n?~k6^W9nS;+&oc4Mynn`*C@`-+;2)r_MZ&EJMk`_Q~97C#hl=J|L)%C9sEBG6Z!9
z9ZUGjH)HJB{0JrZB+s8X8&8{Jkd8oZm0YPs*|yRP~FVz?f%{tzl-
zkHOA$>|4YW&#TYT63B+8l_A?ek*@1sfa1L4}s4ww6Zsa}<
z-}enDDC-+|7pjepSb`8u+5?rS9McnkE@)RAdMQBCAvuhn-maNlNh}3^;oUW49OQt8
zOF8_e)>c&%jlZ^*QNo>x-HQ3)uD)
zM$Cixr1NmruKx-9cAqdr7|C!b>F^sl)j`4Wjb??G(#Fx|qW3cGt#|$KYdNROYi$U=
zT|@UiWtq1q#
z8K*Dq@qP2p+KpE5Ae})Yu4jw;7A&$%ucP^9m*>vBY!9z<4f608$q6Jc*JBBKl^0nQ
zEnzvq%0VI-ofZMgSyj6?ZOq8S`BrZjQ8pPA_Fj4fsD2h5A&v@kDK%{fx@e9aG&qMH
z(@Ol6n~$s#pQ_x~g;Lmeh_cttk|{?G8a`PA
z*{?nD;#W8Fs+#rX<<$@tz`Dx#ry}xIH2(JtRs$;qp-X3@y%d_WZGGkSf*en;@!wJK
zk!yeSYl`47<(Qad60de}Mj;F0APXtCZ(PmKBk6R~2AI};FL`I&pZp>RGwvDRSI*kp
zmL-Oh>W9$r_=WzOwO;>J8qSJ*dWgSzIoX)^p1QhA!3D?|l=0xo7M0C;kHpp1?eu;I
zJhIY4RwRSI`?Y9Rn1~EX8WemQ?h=b?u1iCF-(|xt8k(JPJ*i6y`|sJB=KnFLAaC`C
zv7AsG076Z|SwOc5WV0)KdArv75ipERXFa{Fb=+gV?qrhl(cT@k=GYe$YwrQd+#?Ol
zC(pljEeJ`M>B$FI^FDcb0`QR5B(rNdx`vI$t`}oFM_aaI5tZKZn4JgPR6SPli+6e1
zYUkmH0eaU0Bf|aB`6Hu>JIys{7SV%RC9RnNIb+fg)qh`16g6|XI&}E6?IFn~2&Qi8
zBN(0Sm#^uw*DlGoN_ihR4OJ$K;XcE>2kOmB4
zO%DjS)p+0SUTfJ7WiiWo`q4u3C4~gP8tZf&McC6O9+Ny@YVA-`nW|Z|uPJeG=z;$Y
z4y`#`v|*_%^PT);-}ql3t5R;^L>)eQQEXwj>w{E}km{d`CHRq2UH#lIT?MA_*qxY0
zLZ?Hv65u`suAnKxo`$~Hnu4`$qBhAVZRciJ<%vP`t#P?~*1(NB!xQsg&?JqoLIx$t
z!lE=US?DVx&>c9Vor`%YspcW>)0>ZW9dv#V>Hl_=V!OntA7@?oUt%fKIYVS_>KT;T
zLl=Y%^Pk6PpR*YD``>c&al0+q@z{)Ruh;(TTJM#x1WMewl50gWe2sKrq0
z*0YANPwI8(D^?giyf+I;Y@afBHd^fF9D5C}zR!R!oeTMpTnA(XN)7BRT*4bm=lnG<
zS^HzG^+fJ}##+HcmoB59&fKnu1P%s^-(#hC^PMqG4DxL70xO(_iRDgK1nK9j%j!WF
zZ&OQOR=FD?@P@Fsv6;Nd>FB@V+7Ph6F_pb}ygM*!#2hUK=d^Bd{`gnb{;`LsRcQ6j
z2d_^I@Vrch)+)rr>!r~?PWQgXHN%&g7!w^88A~frE2CDUwm%8yr)^X1YmAE`E?8wh
zOx{&Z+e`+CX?#5~1Aau!oq-IdLxEiGFx@9>=MhDEUIP8IEq}{^GINrKr1m8?2(n~A
z8fmioWI8XR>h(L{nK#F5lbnurzYoBtq0d3L7BUI|wXXh-y8W>wcsp#n@iW)T4u{PR
zyuZQMMuX^G;_9tT*}F8JU~tG;$;H!Cx1R^6$i&uDe7}u4;yTjCU1lMM{FK-tqY}jGVLecbPS3!2li26~edI`CM0%)C
ze|0FL9@&b_7pT=#kLRO^>91d=bf;vXP*z1Y_>*jD)KVKwT(*1^D{UTyK3p=t9q=aO
zpBA8Ik7Dm$nPy+(xRFNMWHLFfw0}>+hNlwjMM>;JG>!B^-d}GP-=YM+nxX6|v(6}=
zV*~h?^e@hBEIs=hTGuToIq!a8<)7)sYnKj&@>*;Fndt;ak|rh
z;X4ixhWzLpKvQQ*nxBzC_o_pV*@ywBf?JPRJN~u2rKC>0+;owgGWwXGd=wqQg$V0;
zGl$)UApE(udfWWrD&Bzh(H)CxxCRXq9HT{~BrDlBV7ETc9npofwm@-J)#mm7kc@%7
zvUx?8+CJ8a=ekN~mUt$-cw1}t>N{S;VDTcr^V@Ra+$2c~M^
zc&a{J0`=WBb@}kVNjN>L3Q!h0;7(U5mgNZTc7@*OwGn0MKW5#6lBC@Cs@>2Bjk~N}
zM^j>oY^;)IOdxugcD3dEw!>942qZcwRBb9>9az=!8>i+IQj5keKEhff>)`MwtSn5R
zQ@2SZEM|AwdGnvmo#{GBy(-eE9G4I&x%b
z`^Z5J&fs{exDIpV12}fw8uF}OyvyAJGT`pU0=Y)KmZ^FK1uwbr9qpLO;%>B!Co{22
zIAabPrC-Y~jRC*trI3?mu!UIdaHpU!z@
zWvj^>bpkFrPBrP-!~VvVp3iM$aF=xTxGG*MCdcsFf=lBLSb1!p5RaogxV8p$cs=E7
z-*_8YR}^U&FfGERo5zEVt4o>8@J%=uE8L6^q(r#QiFzpx|BY#CW1Xs+F&?O8?6=5F
z26U$eKgu-_I^fKVc*|e>X3zj|I+scq`U(t9J4+UQYr<1`~Op$
zt%1~Eq`S2s=AOXz@d!aOlH@NIUDp3FodS19ZPDX)d(;(cy`0>7iLBu57e6GF8M-0(
zQAT^wB$XX|v8R#w{3xuw_oq`4sIi0hLGZP1KnA8~`1avj)*8Q`9HBxoWGp{Usk*k;
z5}YGok-)tD0+nq~7HTCfko>4-MQ1PMd!QDgPPl{vM*j%}s?!`E^Z46;ROxt87E7zq
zZk>9DYeVx1u-2mxk|-qpU>h>IJ@DL4gzn3Ii^R~}AM;WAtF&YR=u1{X!9R+=KWjTh
zQ12HZJ}I|l7M@f3tEl#SpCv?Ayet>4t}rU!oCRi;N}WzTHoY~qM?OPlL<(b9vy%Os
zzlE*04YA$X5XcJ{{{Ji>NB$$rKFCCjT2Vcx^V4-tNz%r>(r}3x%h=k)KOlim-@BH@
z?Ze5^bJeQ}F&4xEXykq(^I>xu&Cd;(1y2@;bn!kUWG2RQU8}ih9GuUYzS)23Kt@70
zT%`*}eTCY;_T3dOA)YZ*idHg$?=qso$gKV?UyL-XorMNiux-GeMSAN2ys7Xqb7#>k
z#=g1}S47wgw<|Xe;|SjrNfYk62_^0MSrf{f2RFbJVx;%+8OHhSYM0ktKbqj@&>D?x
z8j7RXs?+R@TQBPHWZHWBBNHPbj
zPO(QbPY!_*Vts0QG0Wl+ex$BerA{;}pXdNRQIfm>x?OPxIkwwxfu4t}?>zP@T#Ah*
zQG}VGcml@*v%(%br}<|D#pzG+dnxcOi9wwXexhRf;lC(@E=azFxDEF?hcE6;Ha^IU2XT^YUyfGs0
zhicnS*>yM0^g6&O<^~lQ(y!!^NT@pMZ$8#8I9c_svxXK${e6PFr1^NiA_NC97jhsA
zDHBJ&Z#RM(|58AV5s%tTBgLZ^a3qHS0&_=b;!0FPRm(OxG)JMNC+xx&XO|A>Q+11%
zky?A=b#lTRK69`vn|%Ug4fAMuTAvaQ<}+h&SqT`NmC!syshmR@F>5S>%{Y8
z=_HITJs2=cPe7=eeq27(D_7`^?s}BgAZqFTH^fx&wUTBpboQSvG?5US;ve(6*Ec-K
zPGV&t0ZL$a7(GZZWjtmUwH@*Yu~)O@WL+_(k)?edu{e4HDdSH924w(C9eF(BDtV$7
zS)!jjBQ>NvcNC$@-R6j;(@tBZ(#VisaxAjvk*2dstp5)k;f1n^ai5lLmmMtl3;_njI4yFXPEviSqNWYHr4vBxV6bywn0Zv#z
z*E2A7WO>M49`WZ$pBFYN-LTl=W~e17!WkS`Nag5`y!oYxu&br%)U
zM57$enL|I{6zS9ONeW{baYT*cU*4JAZIR>^5G{NNmypM`8uC@V>TOx4gw7H=u#Lsv
zhu9!j_tx(mi^G|Yd2AZwcfbA%jpU^A#7gH5Su+fHuJZK@y}lb5VREohTyWfg{k}D3
z2GRCZ%qsn;RK1xDrq7L&q}9BZRCAy8G+vSygLh)#un-i%6e#Mq2J#o!p=x05taGZS
zxdTnhdob#5nmD&QG~F0Pd)tR7uYQ&UZ0SY=ek)>)+Bi!KOT03=sLO9v`K$^}7^L{g
zGl8O;6RhSlu}Roog!1rC-1$fm8nu^cd)hB_{BPLPNQ(4z`Pe`>mC+$L#P=OIzK+vv
z63)8P3y-lku$LF=uetfi5CEyUSqu&u
z>6aO@G-}03X}1e+A?1~q-0$;D5?(YYan}?uqe;rm(|R#098gCGZ`o59h|BI?gsds|zbD2hfOK}1){v2p
z_n#hTqiv=gibs6kfW|lu>`l(4D`jphgf`0je?<*P#Ge-ms^I}ni5T-(zw=FF}+7RPf>I%Ug3yyO;#;8a`5J4tsp>b9zqt6l^7V=-sSv6!KwRJVB
zrtbmaWE)rVfcPw-K97Ij{eQRmTg<{X_N4gs(G=v8>q(2e$OKXIR2xQL-hP~q}BX-i-d=YD&8Jm>+;Tab*QzenP#=Ttv&l5
z=p|--z(taiBg0urzDAkFlJO$)xTUrk^NxZN?K*~pFdg?X6QutpT~aek+9n$Ud>bb>
zN@f^5MZF?^+t~QvwSTJ2`D5GLIG^uhgy!_HUMyhTwOAj`nK#@0>lYxGp0NGq$#N-Z
zxff2oni0D|9(Ov(`Brq!q~dz*1KNOMqHr(4xD{>`x
z?aSU%oZRH`;s1GQBP5ltR+)Y4($;2W80%4Xgw^ILT(tzjF!G?~!-$5@D;?0Sg88lU
zLhYOi@!zX*^kbX{Tt^BOF_JODr@a4I7I~5)r!>|Sg4t9}O_T+(QXiQX^zOH8lT5VE
z)ztbn)qG;Z$U->yxHW!zZg`RE{Ne8m+o8ZO92>C6k5aK{fNlEYt=(v5Hx-|>CVrgu
zQil`gdd$VX&P*aJn5Ef#k*9`>#^R;yqEB20PNVOJH$Rs@jJLN_j=$^Msi;sjQ5no;
z9S?k0PLd6Cve1QcHs)DtM!&bxtZ=(AFzdtwW)f^f#(ZV0Sk(GwpyL-!jv~Dg3XLA_
zL#?%#>(%1q%0%XUBscS5Rxp!KQ`w4LD8V`XtRkh)IrD*#Q@XmGp
z9Q6h(_PmsT{ZIzc&7Z1l^b8t4g{
z-~A*SA$bR5yS0NV!$Z{eXMz;v{*{zCPs-xqR(TTYec?cPtD!O!^84oUFVE%2TOU~M
zuUW+d?L`r9KSBFKpcJB@Y1Cpb3BO)-;(wzbdQi60N
zAxKI0fYJ!MMU;+_MjB~m5Cq9#L}?g8LTTw4;=H=I`}@xCob%V=;sXBQo%f0Lthk@G
z?uFxD3{rfltJ;Ysg$?)!(Pk-v+cm}!6jS`Fc!XBg5xID(;thaR<0)a@KWby_)-RR!
zh&>Go8V9-&89c9sW|aS|_@emTZgJB^`h=L)ge`?{@aRsxo93RewVLIF8?GF)pSA9*
zN6-UKP%HD0W6KTTN?!aCGVYXES;Y`45Wixkzy^6f+S&K%sOvGm`00hPodR=hI8=nV
ziNB)Ca;5DxC^paDpw1vqnyfl4lmE*fG>JHDILNUb)T^J)Osd6#KDwkjfjB~_!q(Ngx6_DW-4F%75qyC
zP6=QkU%L`vTs|z~Db7TV+`kP-
z{4(kO>K`KyHPw2mG`q?IG$R|dR#c*W*{Rm6@|xAhRrl^FYJSgOMU3oho?xCI_NpmW
zYILIOr6O6%)(pRuGfy2}U(LI^tGMPV&MXbN-*!Qa%k+3=jkeI|sr++nQWk+Zm2p(F
zRP%U|Fqcu4q0T*llG-B}O}$dTKo$Xo@?<7Nye%}p8hcmV^P3;a<_6VcdVPK0u=#Nq
zESTiuUJyIou#|}@M`BbZAS>&d1!P-@58;jZwsT2BZN%*#9{`kayC_lEOR0=1A9^pJ
zCW)?4R6y4mi$OlmpRE}#z?vk4i_Hx{!p=0
z#6Bi2c{LhUd*dRemIo2U*hsXZKAHLg`r)yLJ@$dJFZcY7d9pI{@Ti2JmxslkN?)aS
zN0J;fnleEgY&6IBhe|FRPN7wED^(!j8U;yX?PVJ&5_1#PmPC;H*Vl$Wvt>5_Taf%K
zNXN`s2*vxQ~jfD5=tk}_jHnsP+irUBLQ`-9hzVVxPRzcGR&FY8~bu58L
zslCm*A_u_Fu@3dk{v$Ph350otg7LL1busQxbstTSCozUdnyrWltL$~+3y4#J-L^0o
zO|YJ)yuH`0Qi?&vEYuW^xcSre*Ukufw|$4fL)ppRdJwa|kX>a4BB(}DoEWEr#XEKl
zf=vYcD|{NxAHOQt5b8ZY`j2958C09E8%nIbVxrQCY=_es&@al{HG`{3$S5k|F+u3@
zq+v;A@@k3QgBnRM#tiHp|NKqbc}wXUbRv-0MYzv854FP+iH8Q6(GtzFn}Vgq
zaq4@)9u`N=h8q&8el4V4LR7VXrg-2=1$UC8f`|!gsC9a3nB~wIz&!z;@BXVZAV&!*
z74;{B4yj<+{Ok7Z0(}Z_eY{Y}j{iM3vqpf}eVW=%rn&#nu(bh@dv+(PXRV*To{Y?7bHx!N#o`HH>B|qE
zt(WW=rcR0}^&bY&Q|2N`Dg8KzlT_2Q4dBP}i>d|?qkR`2qZ{YN3(}a8AThCl%=0yy
zv&W5*I_rN6p&1W}a-9`xT7aSD8t;IURKl6TfN0SO_JYTe9`NS#W
zlA=s7q-|i9SYL%WQAC6l=NA}|M;}P~h5I_8
zAj$G}_4{LPeYe7{2}DrLkhC$534`X8_wuZXL&Y4h+y)>&=4zg5c0MOsh`SAG7&H4A
zKiyxV>tzUoojq@H=;k`Apybk@{xd_JSp?>0O8c@p+X6*=1?grt3BCJpDFx%t1@rT<8+lS6El~P?^M%iaDTQQ^W=Tt_M
z?Ud5cA<|%JX6gtT@0jn-s7;rS&kHcGma9A5B3Dc$X8=?TrxhU2nTb${UiooGiVN6`
zwZp&E0aU`e_Ac~F;UIP``5(A$Ii4_Y5{LMp0NCtZm*mc3fL_T)ve?2;ij__c4AHgL
zAeiYup$+u+eZ;?o`R!-i0;(Uww*Uklpu`_tvYSqT-NsoXa-TBsnI0B(Lr55gbL7qBcINEST*17?_IBx0o?gX
zDzbqygB^ei7*7Hl-A#cdc|C4Cs_+h{O*7ON;r=e%9i8@BL!v^{sUe8z80i#HP)cmr
zymE#d87%oH6!5tO9I$t6X`T<{{Rx;of`!QFbG}+-yH+dOom>Ve=)q*ggJ9i<#>Ib5
zNxO?UqbJL7w7EMLc;)VK5l>0g?S^1cQ~
z(h73$F<*xJHdtJ~ts$hvxb7Jh)vxo8=|8{u>uu+&LaC#F<~)lc&=;%Q
zYPbd}FR&bWZ2d6MX7GpS&x
z>MUYbg9TGW*Uvh>sdFg-Y-z#fsNKmuI(Hk2f!;C~ysqgSB=lbXX0ct6;Hx@k-k4=>
z6d~Qz@TCDCxH?~bHqe+xe;V63Q@m?pXEuNhcmzBN9e8oSK8#PG`~(jq&!54Y`RlV^
zZvj+TgqAac&Z6t-l0SNUD7&^b>mH|lU)ej6du#S^_KfW_^QRN__AVDo@W%>sL}VdL
z;3-lp>Fk1`UTd9PK+lh(5QyaNo!I;Ulbt&*XBIUOJ9DvfEbjO(mIhh8&t$46l_
zjA$}c>;3wzBo5GPskI5Gb_^8G&*HnW93L?zTGxM0#X5mn!UMxRU5=O}v%HNuhfk^^}+$$+4qzx?OH2p-7|w?3v)&p7$JaPFF?an>a--
za!UDL5!>&??AVG%7q!krGfMebq*})PDh!r$pqX)kv594Z`nclmbUrFO{!Ac0jn;gi
zN(%n<*YRUt)UiDvX1};LANT8dsq|-2oE%bX#~}n#lD}mxATpELcjF@l${xn-8(KHF
zVn6>0_)je7P}%s}_VeX>@DX@A_8=A>8yNsEMa`7(ou;Au^M|;AT;Pi-dTF)N07m*W
z^gQ`YMXDkyrhEIfMtrgo>v3D>s_1&(7??Oe?=}LQhr#bU%(oL~cU4H4QnfR%oG>*@
z;{2>_QScxGzvLUaj*P}}QNKn9Q1dqN&5
zVAW(KpgZ@aa<*4p-bAH4h7gz*XAb)*?9_S4zBbd_Cz)^ZkR7)`70vnz)#a>BqpW5F
z6(eHB`QNo7)zU;+nl3++v?MsYT}!LQ^M))*Be#mndl&H+D^Pm;$Ej+ZM8$d4F*lR_
z-E!=g20SqTr2+r>GOJn!m6)OHB)telCpuq#1+)<&4|$iu48oq6!HWV6zl8xC_@%6!#Y_?p)h8M@+oycgTL0_@uBdd
z#w8zcR?F@@c5xsDW+`D3G4E?DF2Z!oTkRVEzLodi4@LWP{C&%&cnT*M8QVKlla1bQPq6A1}
zID%UUDtg2+&$%
z*I@{dr?E-x-bgmUf-$0WMnG5FZ?J1%=_0_%S`{f&VS(kky}u)qI+@WKl$At%ZscEz
z)~`5FU-c;yyeXb!tI41M^&pV5)<9Q>oo?JBO3h9o
zDDzFtCXKEBkw3CGouu9PB}-^dYgbT*RjD2H$j?^xTtho
z+|OrTZRu-j;kQhWNWweX;pe*FgA#vycV1wPaG94G41S`Nchrw&4ovop@o5`D`MfzG
z#%gT8YGny!2PCunk%4S@W9gy4Mm7$hq7c53K>9!jF)k&4sGdEH{YA}H5fqabpXi+5
zmxxrQYcL^5)4VvDWPTF`)=}#U&y5b_G8|DFMBeI(Kt!?Z^X~K1
zsSSU_D8^c%J5Ab@_#qH`xsT0X1(*UcF?Kid0Zyir^n<|jgUZ!linGle(0SB(zQASY
z@diTvf`sX>r~ST8(pypnAlQ^5=`qqHP%&tQVg%Qcu?R5FFP^`)JAsiUJ6V-;=p$v6
zBdC*47;$pjbYs1FS2wjweb8XZs?p|mdqAma8pkk5VgL%TkS+IK>&9|saQB1Qk~G4o
zR7rIU=a2@(B{YinfDE#VW?e{8evlGW&CHj9a63Oq20n=z>PG&23$$uUAy|P7tC@Li
zgVA{r0>Tv9b-@#|0=)VCTYWbeS2Q@jWYUnxT*R;7L)oPv(o{_p_hYc|h|PJ2+y4vO?9%vlH+H>9GXvrX4le`*W&e2Nxgi
z{@MTd2&&bDUmc$JBc+#%64Qz
zg8Bt#AQg$y?^`ngELCOA*%C@)4WDdQwRB<;9MfeWBATIgy+w%>5@CEjN9kvEceq=g
zy@o+&x?o?9;Z3vqc;m&giO~;dXv}52%&S$QVnzX&M(6d?gBn2)>o
zFIF@NK7ljHcZq8W-;8!W-W2U^k*q&a@S+vrt3W;xodeNpB2V9@MDSZ>y4C!0(mT?W
zUwUdro?>Wi-0BR{e$JL|8hF*RK@1RQQ}C0Pk=(rx-j&MZ#{nO3(|}@;anYR#iRb@n
z;R7JyX&k_2EXM-3F(*Jxh4A9F+fK6%KH??-|9uEb@c~qm1Kz>dX0&2T*!7bJV0o^w
z3%f>^2M%Q&Q}KyACphDE4zNAbRUoXhcYs^z7p(@PMyk*58P%85LB1oSD-X)M6fraT
zf~ZQ=Uv^=VBKh6T#NaT#ecoW3B+Uzz6M>pA@f{!WfbY72s$RdX-FgrXQxkJLjXMtM
zYzCwynH`zR3z(>>XGA4ivQcR?c#RtyGR1$uV_FC;<@Syxe_di#!K=1J7icERA=
zdyyk+Vczm&fpZLFRb{xzzn#2gbg0Yz>|LWLcGA^$=>Qb4eaopmIac`FbV9cetFe!q
zXw5bsiePO#lP*qdK}efzPtsQ39%&5h6G)R#N%f->8BA@9aiuMPhaGIA6c#xesTUtB
zMh_P@PT^91}_Y>n~DLp_1m0_3t4Q;ME)
zR{|c9w-yOQWh@snt=^gQQ0>}HAv7+-jt&WuD7SiCA~Tx1+Y8p%OhwN9)mT1)&u3#K
zU{&dbpWf{DNt{dJYhxJs0tHBKxC_F};U-;67sTuoXBj%)H+cpa03wE;Kq^h$DL~)^
zi1205S-A9t8|s7Iw5<_75AMqL77(%aG^Mtmf@Po14QU@Gom&@rusrpLq|W8gnU<}P
zYw_JQsXU=#t13*447zbnCmNJ#W{;mP+uV
zKU=Uio(=YHIF|bGQ_1dxsvkT{a<;nWYKx#=O-c9=ddIuR+BYP+33u9a5d2vND9u*ZuHtb*Z65REZl;1U#``CH$>|QUH=)PNue3ta^B`svY)-8gsYb|p$
zI&3%jDm-n9$5B7fKywTFyhDx-*>Ye){LF!s=9J1bCsipLf~U+)glC!JVt(t>(R*!o
z{gmj7BEHGw9LK)S8T{{AWit-jl+k~vS=fC^Jq>`s(8dyt?*@-qqT
zDI!OWXPSm$NhJPiYQlf1?2#DE?}n@q2EVFqXM>ostG>djOb!XU%w=>%Mys~UVMOqL
zYORW?xdnEsUvN6{crJKEe*QJ3Tb(1$aBVoWpLKNbr=8mTcK{Gd3U`^9d;wFId;gpI
zwa&UkK|mWKj#k@^6vIGS82mMhgRcQH$GknB3JvGcAyicLiLTUSRsO+|W)Z#I4l|X3
z3_S}po#-I*GWhXEtn2)pUDy_o-gSi}v*-S#US{1bf@4S|_DaO1VzwAjWv)@oWz1N$
z9&JS^)bZ}Kt2tf%^ki{cF+3;X?36d#B_6pI)^i!;?SJsfVan%lF5m!Jt0CvWkBC{L
zMPJPE`P>!D6l*|W7^DiCqm|T@Cg6%nvH581OBy@{VUAjE=jg8+*7Dr(k$^XyFc$HF
z(zOsYWbHz5xkE1fz=gfzxsn>jt5!HZmOMgrdBN8}*~vo-O@~wL&*0Cq7f*SqfL$cK
zpCiT`j*Y234F`5TzCc+^8$=o39E%AuCIA_6yps^a%_ak208
zlvU8KvH2PVpV3`7DQfic)9TIpsp+`erWe|5*1YS?&`4pl+Pnnsq1XPC9#WStT~hkS
z0THt279+1X4uuK*-{KZF67x9(UanpkG5|z500U&j!P4h?#*f}yD
zu$s`S)8^b{o56kv7vh9m4@{*o3843V?`4?5r=bNp`^OBWOV{}aZQwC13?p7x226u!
z;>KRC_VzGY0H|Iz@d{e(Wt)x$M@gT|gK2%vw@R@GlP-a$-l$NQi4$&=wjCa8aR1Ox
z4PR37`JlTKy=GZH>fJGQuW|H45E(2)Tt;bF%?__(7nWFkuKU`WyPSkXd0>4Q3H->_+M@HNe$%7y|{h!YM;BZa318M~^!Q>jju^MMBIw
zE8=PRt;j)eVfjbGtQSoYJY?M(IjZ-wp#+K=U09WmSpez8q9A}*cWFHkoUd{6{na=<
zxbOvxpzK}3dv}*x1Id(|FU)98##=)t)1{Zh`bX|kv268ku6QL608mitphMqz+v_GJ
zI>)U8jbYF`-7gnvT{w*gHflCN!EE39Bgv2BV-wW)v{v?95Ph+9qHOke)>$gzEw#>3
zbY$I{Gc(fKO?T%Z6{>L)cI&m^8#
zL!un1Ig%BVSg@!$8eccge!C%C#~mPYi-T&YP3m3C@p&YhVX}Mfg`C05rRy|4GSyZ0
zNvSk+$gK#7uf#Y+a^#mq)fp#Ly^F>)n0}Y_R8eANC3=(~DzU94
zpCfdQ{$L4>qAH=@1Eb>eu>gME5V?o3j55hf+IY>s-zR`JACcE*$cx`C&QrcX>W>|&
z&d%g^mWYfL!uUmhpd<8Gj*V&cbTFAociurgw1j_$$t$4q1EC0w=h-#>TwaFpy#>>W
zr3d^5^J4uV1%P``B#WPnT|M3CC>n3WoqQAVLFQ#67E#gcNw7C|aQ~r@Gu+tOTHN`O
z#CZQ3AXiZ?W%cOZ*&C8KMvH+!Xvqbah_9SqCrhtOG-I{yuPgERu*m68!*5;lrA00n`{Au*?XP2A
zO`v}PCqsk{=5+26Wb#yl_m^w%+#X+vbQwtIs8&mRE*tG^qS{smOL
z`UO&)ZQf;|-}-T`1j^l%qX$2_&_Z?yP_1(YNfAWf{YJvCL1ZWn@Z
zytE{g9nn!_G$Vd8oVx&ragdzA5hNTkbD2Fv;OksPqbVufK?b?wL-r?8&%-{r8;A#N
zr*iMcy8FEzyj`EO-gsZFM`YeNA!2Qs@R`#ZrBa1pRF2OBieRhX
zqEbO1AIfP{sTPs4fBEA>*!r@CU6|}wN|q!K&wSyuvymCkRWMK+IE09gJ)fnS(#vz$
zeGT3*=y`7;_P&9J!J?%oTv%@ufbZSe-|jaA-ZBMpr_%0iT0?U9_X5S=o(0f4yU)?F
zw~{g5wj_E;zq@m40Mix^s$g=dRMFoFr<7+^M9UL(wC!I$UOT+GTvx?Vuq00ZDki6~
zXv)SQ|17)o5NfD6>dP$~&i>UwI#etc1y%JS|tK`SfmwrIFVQ
z-moXW2VNVoFa;%t`iTAL101eRTxS`m-0MUwtjQ{*2jXHZ;;LdRl!GIsy@EK&ZYxr3
z#3eAf$BDM#z)C9PHnmgu`Y$y+1&
zv^A$G0maQGe4rLfI=qnXuJd4EKUA)Y8`NT4w&`N4Oc#ceWy9`$-7wJ&AW_B_$kaj$
zmsme4x$HEv07;Vn_V8zsGWbj{W*K}>SA(E#?ciTV5bj{BlAA51wT
zR5&YoP7NJ%aQLMbE-D9Dw5pgQ@4yrw??w|=;uEweW7YxiTUZ-|d{3AUZ3G&&{T!!^
zSwL*hU5~gMhIo;#t`{M$6H?k-gn4);R;933<}>_P7NElHf6RvYcCRW_E+1)PtkL&q
zzOj2UZ9qRO-%Kb_COg?I17n#G8+|}YjknTceXGOH+wu&O2Bx~Sp5nX3{fQEoM+?Kj
z!Sm`4Qg5#-;`QzKK(-{bdC1FjS6fIawe_@YVvDJfB=it}@^zr0kFKo;ZMOhud&Il4
z9USb*`n;wcl*Kgcr)7GfIaHM_0kFX>7ZTsBS}B7xV0hb9hd`FNA?E^;pe*`WqSk!5Qy&hJ~8d
z$jx{{1G7df_~LE_mZ&0yZh|tU&9j2g>J<7EcbH3T`kJ^!8jK31Gj=>M7YTlzC;War<=O
z0VPmJ8}uD;ifXw>eSV~oeZJ2Enic%I)tbF#XjCHH;^!FrN`qK=)O=+1=VO?IqJra~
zw9!FF@#A0d-LLZk1)QkIJwSl;lWmc+Lrh=N0;j#oj52vZl3V~9CU7|ptyd^_4Gpo!
zzhVkAi(3r3{Ic;OEkol8H}mH#DlK*Q@*8b0oT=dc_1D=5*Edl;Yg0@VGs>Zqv~jBy
z0Kvpv5&=YzJeG@{In$5reg1crDH^=44y#nqK+B=?+c8hdRV|ZZ56$go<}u&RfyQ|C
zZ2%Eh-)AAV~?2Q%b#>c!k+B2PkX^m`YjkoDQ^+e&lus5pXD-!PXzpzz+nGZk~nDW}=
zfIoil)Rr!sVR18(l-o_F6`h(aZ!1h
z(aR{WBo{@b&!^!Qc~JrWGhTa!)XsDYTxf=?kC>ONmjEs@U$9<={@5>iDf2*_+|NE2
zVz_SDG7&3mxW4DV$Vgs1#&U)*LOd%v#ui1c4gB@X=~)H<3a5it72>ndCWV;`c>z2x
zdrC~1bJ&TSCew8j5P#mhuK1T~4)1DG@z82W6BR@xg?t)lcB!WFxk}&5SAIt$@KhV9
ztCh^a?_C#PEg5Pq5Z>HIxcL*c_~U4xVPOD13|#pTQbu~JkMFwp4tbJT-dkkF_}P?Z
z`0?*(rrOcBN6_oY&&7yVIuouU;Oz=*kccUUo+}{?IKyZzXDtd6wa(;|`aMkO|F7k=+h))$p=GiJpP*{P)C2}h2v`?m-3`Gf;Mmdr-
zxKZow7y4AIn++Fd5*wM^P#?JJ?&&8?s<;C1$bZAcfP?mx^&M=f4qm%bV6Pq!(`zwu
z8iy?iT$6+O2%UX=r{FMsOby((APb{3E;ROJ=tru*MZyyIdVRAZ-laCjkzZGcOyHr@
zr`tBKd;SweF!Cc?<K&DKx;t~8xg^-*vA(TljkN
zfl<>%Aa5>K$nL^KA63VZkysCpnLZK+xOTSh@3R)DS}BpP2jp>9Ve^)rqqSl#liZUk
zl;)RNAJb(GcE9xfPc8r)-C`9N#b%JX8QC04tN-<{jBmbee~S|yF+qB{y-wN$!YfU=GX&z
z3^v?xU#7<16iWs9Vx!TSNM0%g$B;Ot3_k;BlIN+yFn+1`1eV$omA>o5!*CV*xTB
z*^MJZxu-&}QmHBRbF-=Jo{kUI^Wp@s$v-ruDO4w`S%C5;)r*|pIJp_&@p$VB<5RFS
zWS-MVqzKfeaU!hWm;XKUr9x`Epu=?F{xY9=ZVskMSw3Q^BB{5Cz^3ZwNkbl33zFK*
zz_#7VcZ3GwU}I04MK>OWMk}1Zf4swWtF#&{P|=+UN4`*)RZCr9x?kl1>4|Z7qjA>P
z)81@!i|=^E!p`v|{JOMgMM|L$lkHd#08R*J69jYb;_XCtxMn
z)2i8t`1qX>=B~LX<4VL7)TxWRDabG0w9{@<78P;QOS_S
zD02wy8dkhUG3Rq+7bP6HR~q7n36;H~_?*I-qbap6$s$b-(IST}wLtst4dHI)eSu!-
zjqR->Unh)vQruM*5>%lJB$NuXfzFtiHFD?z`Tasj&rD73yd%)p?>W$v*ynDU)p3V>
z^-xF4gbm>GtKZ$4*5u3LVghXrx?ijIphVwD`QzvPhW4{|V@-U9QbfHE)zm^?CL@*@
z3P<(n9c7zdzB;3aB**ZMO~aoV@MzKAl}$XBy}e}u3TMLAh69i
zwVv-gtj1};gz${;D-8Xn7%SZa9E+Dwwd0|h$N{ywG`f;j3ueV|$Rl`Kji7JsnutakN>-3?o)7DG-S
zQ0kj_p!RBX9O0m0Ox~Z(@a54lflSQSKZOk#_{3Q6O-rL9fkD2~&qy4Qp#m;wJ+ag^)
zZCb%H3yo0M`9}~P`bm^w2fCO)Jc_X_ensXX{)8~EMj>7-jvQA0@KyH`gF)y}
zeg1mDRkEk&q|&4iR)pk|fyU~)(y-~sfVevOUIZs1*5CxEXVZu|8!$vW^CzrcV|^0U
zn&$a`A9qCuOgWXJXHc~Z`tn@07o}%>wb;@dvA>xM_}heVZc*I(YdcorSbJmJgTd;o
zxUwm`B)
z3OHB$7P{)-y^#h$)u>NoaTo3hEMyxUABIENp)e=gAgVhRO3IdZSM*$To2}sa@vCQ+
zfuY#yaC=i^X~K9zs|<+m0zH@B+h_3Q?4mt0k?8g%XSf$f6#SCnC9;C6#ftC}SixiL
zrAzV&aj*pV2dKXCx64wU_2l0D
zTYO@-@OV4B+P1O8Cz_Vn*Vp4JxXQB}XcC^ReVqNi22s8u_>#f#E=VG2(H2}{M@vGZ
zOo@>02Cofo!lnzb(=m3wqK6A#8v+N0v8^~hqWm86ml6I0_X75ehz_n{z7u)#2-cCt
z|JBC0PuBl*^N5bTq{g}=bi|{^v
z($9@$f$!dHz_w?-O
z^CCS#OP4ODHQ^ElS?J)N@k67YwlF#~>+t0HqB+dsJ1ysyv(<)aVHu>{%ug<>Gm=Wh
zG7PzsFR2p&u>PF_za;7nBsy>p-%@JwXQ)lAG{EQqG&yqlu^n^jjN{YQPCFP9ZZU!5Ri&3+WnoS757m9G7A
z`QL?(vD+5~Ru^3>(Q@vY|C%iGc{W5&_w=WG0tv
zkOTQ+*n!LT#se!8ReR%^j=1!>a$s2-%xL0w%$9fuf`hI-*2I!FBYPc&dbdumEwDeV
zm)EO~fpKcDlp}DweL)nU^E*LDyP5egYr+N6j6m7Q-rGu}S>1-ue
zq%i2GH@T6IABJ7ukh)?YKNndUz#=jys4doK!q3rEnxe_#93`yYYgPBMG8)tV`^b0x
z_ju}|m}!9~3PefPvyO=ix+XHSwv$I&7T4VyHExpY-CA5SN?njmKA6EMYg?
zb)rq#Q@u_#8*lmQ0$ywPq(Vl)%^+8L=cX6KVLjUj6
zSNB`X|06#2P(TD@FcNoFj>cnAil3%v8Y@UiUj|&|^u5|I5@A^%=1R$oEjMX)G=#fF
zQbvA!5xqJIv|r%1nht`MVydjdiZX{G9$cXdOyEb@Pw~v{IdX`T2(BxiN5P?_j+POb
zryM=_{M|1pSKlIIMF+RB$sLx^td$iG&B>J`xrz
zW8XbA*kLAA$(G^zaW3?c(dxPK5$YV)XJ}&1%>17dkBNSRSKXbse5SXOXBvG(Ju_Qp
z8L{*x=d2HXJ-6i&GS>d8qFLeWzDqdo1GCkam}7t8dl8R%;q=p{<+wzQ>zk8?h&TF
zC+@dy=Y1O(Sj)K?%NSJWDyWynnx`IQ0?w^^oIKwA
zehJ3lKV7yzyQcU*U5H-?5z?jDCYus@`&fp2B01SiU6R0p^YyF^m}})wH4x;dPVA
zO1YZ^^;wzvO2V2-S{(idN`^8#!+z_-eg~UYVc>+DAv|7JYN^l2b}rjd467DABsC*m
zeYP(3{P;p@-r^HAbLvDn(Tw_g$NfjP%Sn6ddY2V64a2JfZ@$k6boEvEA6ks{*Sw>A<
ziOSm*3Jy5(zujhN#@+bj7-UqNOQL^wBzea%>gvkJI?dVIV9Qsngfz+nOewhL!g7wq
z9|5=AV+cuTdZtc1PN*ssQ$iy<6dX>}#jTed(fJ{c(|mZA^&;euG?M2-`+}gx=%!88
zkv)@D)GvMed!+y6#Mw^70=bPmEyK9(`Ii#=EE&UJ&9rDW~9OdgIANDtN(}3A3r$WBW!|Bnc_c?aE>nzz%^y1%|M|5vgo*+IVe-aI_CPDnjfSk1n7y
z^S_{JpWneBPaK@E`6kD_=uPmQNoa?J71jH-$^EPK5`_*AD}5%ie;B_Z7ahZk_HHhv
z5Uq>m7KZsWZXMl!@A)?A4sLrkY+F+mee~CPVf<_RfF;3)O68Zkv2$=UATi|rJjJ{O
zEyMe#qP4=$X1W=!s@!}ZwdEp1`LW2|7tc_t6uy~qqw#t+>4x#e^34`_fd#xWwkOm%
z>EN1K7mEh{|K>iraC`t9NiHw)+88F4IkpQ~AL&q=Yaf*p-LPNnn=q|rG%il0szj@YqBMmpqhSvJxaU9|1qulnZx-iN
z@d@#@!m3uz)JUYHM8A0jX?;2~o6>J4CFL9xqQ&yK3QHGnz=3$Qt;EyqmNcFA92T6L
zc|lq`Kj>43b^z@tc9wnF#+UhT74wSxFSfoqD$4d-n}!i2h8O{*ODSoP7#LDQK#&fl
zrMm|ZLAs
z4UCtAo_~iL86{?3%9kHlIy+~Lwo>5e{^4f9)<6tGhg;9%)Ut
zVC(Y=$4$u#HP~=Q|h|
zsXoj-*mmnS$A3+4`WLAD`_uccO7)8Tf!8;Y*miZ|>Xc7!R(;DO-dELPN#Y<`n5kBz
z)5XDcU~Jje5^KBf3%Ve2
zWgf^`iZ=Om+ILkw8VzK)bc)b<{S8o=;c&|K>eJ;&Idzglm8QD4R_)@;6<4ufylQy%
z4yu*b9SLT*kgO#Bz3@K(Ar}+oqjNAIZAu+cV%cQnqW$TUWE=9rEW}nyy$7IAk&KwQ)Md2C7JlS=CAu^@z|uQ(^PqKl+-fxt2sjQG+$K
z6?jr6tj4ueWP8t*?Z|srbpPR(?$>6={B)x7Q%?_px9J^4fc9kG`!=j^c27H}i)*7DaDtTm_QuJQ=AmN(n9_s0kI`I{
z>9?fKz28lzho5i!UYt|gzN+xj?AjfXwLHYL@5Mvt{k+j483Vckszry~tN1B;PM^h@
zNaer!{{hHc#A650k3Ji(vo#-?Xhf4}HQPK6X7C=@?C58!7Itm#?Ga!Y9Z~u2XH>xYhi|ZeiRFxhR2}6t5LggKp1>vM}dRhEAVPb2E
z0gt&_u01-RI?r<^&0pJx-AhtB%m?3@PVClwsrKFA)G=&fn6nXhnrs&oRP9`uIjm%9
zXHzXhia(}s4>^r3iB**Qm}ETPyM~CFNhudZ#H6;PvvB>Ub6dB0rUPDhn?3*U)yNp2m)VnFuQFyS!obNpMLDsR*4Mk*#13F_PU6`OYaD$-DCuoSYF7+`M*q
zkzJHC1Jf~uMirBNNnKt}5;--;P_}A>iCDyP;t1qM$v=Vc-aBoTpU~XX?F8UWik9P0
z=EAk^z?z+Z8iX&tivH?QD>Q9lQmiECkvq2xX_T}NPH*CVxiREpX`AHXmUbuzrm)!-
zdoCjb$JK_RGiqFxJD`b)#*iwlHpw#!E*eX~h47X?6@|x}igm)`iq{J>;$7cvY3H-l
z`?}1^q(aQ@TzshC$~zX!dOSt5?sz3iH=o_Ic=E&K<}qaE9ldtnJEKpkm-i9|bsymy
z<~s<0d@;4{CXNe+$uL>@!(pM89AHFCv`UBGrv|dYvRi1cVKC-THfmKv@T~bZbZl*?AI(dCu30K^9FJ}
zEk@Q8f`)w}wv&36;|8&pICkvQ`Rz-ZxA(4IR}byj#bQu=XgxFWi2WMEaovVtncnTS
zq8kJq#*>sDAHUl@ciA_&7*k7V`$?bj2`jmCeeUUW&f;1tk!FU!sJ;JH
zAfGd1>Ik^TUTnK?0wD*E?Q`1kihRdA3renl^YSeaHcW1HaHBIQrG?;dt8iJCwi
z`$i&GjkG&6GDS-rLUhm=k<0&N{7q3(Uk!z7amopvJ9q?WwX8HvXw}~=6+HOxqkov~pW3-@C1J1Id#cZ;QY+KxkZ>-XxMQtW26I%Y}$LAoDX8sH=
zG|6k6_NW83k)po+g=I2*%AU=a82J8ZqQabTQRwE4n6@`kUkfMyfoU*dUOMjE#19f2
z`6E}%=}6urgJ3+Mys^m*x+$oYOe!*L)}EQ`?~)r+d&6JRgg5xG5~W4CacrA=uL|g4
z%fz2cg8*^2clUe;%6gXM+=SBQEmQ$B)a-AbnmWQD{l+#ruc4b|BFn=D>H0EC<#0(R
zI(+t1#FCcTJt4t>X?LU_9JG&$Q~^Q)&@XSAv@JO3!yV$ZWu)U
z)0?hIPZ;u*r`Z2OM3@{H!D1L9%KWy>92dz1wTRAKBD^NJIe&T@aZd?mp?z`m1UqYO
zQRU()yQD*HYjLIONbsGzo0U=RwL)mfi7+#bt=?r=Qz|3QV4%0Z6Nk+Fy}*}4{%@B;DE}_@uQFagCF@NKJwj6T5JdANhNXw33`CRYpy`|gt8)1qI{fSN9N4+hK
zHCOrkoJ_>p9ZUSDy+bi#JA+AgO~CnX{~61v6tNyewf?rJjZR6lowt`B*Z2YVrwJ$H
z=Rd!hot*YSNTd+Enak>#gL4+_%jlL_x~|WxAI*|c!W3^>#;QeMnkdarFHZD6ks5K5
z#A^&Ak2w-xdyd+-$qiFlOSb&nAJ=N&^=P1UUva_(*fm}Q0NdN-kst)PnaAw0qaQRs
z1cKG@21nX4h1MGmwra+xg<-iWleU}-Hg_;G^!I6JHhd{M8CvkY2_$z~s(RD7u<+oN
zzdWeCBq4I{fY^k3l9RL7munUYS-0q*@@L&qEP}Oo9PekV*9U~Uy0k6ds=fBa`p@rE
zkz6){B336`(WqPia_`^@LyA~?4m=|Jh4<`C>3SO0E|+fY}g
zb-2jnQy`_aH$js_FOAKYoR8F3z)%AO$SUoj~%vhtW0eiQQ}s-bPcl;50KfI>T`o8%b`W|CL~yQTVC3lAUeF|k?S4T
zyVVQlQ-w&%rP#s^%Z7ce=|hK6=~KqpoR?Doz^SYo3QJQ#g+$KMyKY5d5H&~H88Fhyv9S<)>fg;f+ynB&Ejfdu-x~Zf%2gA%!4;P(*!MRru0sdwB3`AEC!VuV~mDL
zL1CrZKJwq!o;+&)E4~zrE?VntMh8kI
zk_TKANzDJl6?)?HH*W8E)th%~?1$%%aaJ|>0Ntt=eA*^wZzbl-l>DwcfCJg>;_iNJ
z2`j2WcjW?)Y3!7(?h6eXjT;-ZXE~ZfK9&=<+?GCded>bkoF~Zfx^A^>>bY72a#7f8
z1C~_fWG2C~MR!i~6G!*H>^Zt4NszIPE%Gqek85dv$8N74yMpOeTi8N>rnVgb<`-nR
z;{DyAoA>l;;n5D7{JRkU;gT;yR9!YjX9Xate>Fg8@%+yBo7IsmPcgLigX!sF#(yFH
ze>EB8DR^X&?!Ccx4ce9FtrK4wvD_=iq?hk9tzFZJjqmT!X_Djh@X#oyC8o0wS7P_0
zOc#QBa1Wmw%l1FgaZd}t-g<1+e{P=&{aNt5vNh`ntvQGTDZCsc3VqS62@WRSfaq}p
z;{x}($OOwZT)yLJjgejOZdkfw&sz9OueOY++-s>AVPSjJvh-k@xFR91svXGeH|Eau
zG`*wfToy1K$hb;|YWs4(#jOMCIOf8#9{?RVqm#atgi2u>o{0sc#65-eh
zx%x~bT!m1Mx)i#w++72uY?=5bs%mQefKy^tCA`R8Kmm6F3ciUlMX3
zp!{A5?`9xqFl?FaV^@xyU6Ic76kBDOTEPlqdQJYN8~p91SV~NxWm1VWS5JAcUK{O$
zU32Ffrs}drm^um?X?%b`ulpIn&z@Z%=PJn-Rj|0ec??Egp@av5FPc(_Ha
zg7o6??k?g#;5suA>2?r~Wy5c8Kt(2dr#QXSi>S#&e9SsMIq$FYJwoqSWUd5Mtx`Bs
zCRoGTHC)U1vH5LkVQPI`U
zuratc$Zjh9kR3y>Jp-pq6oqy5=>|IX8_=W&E1o8gB21%?au-7JCd`365oARsk-@-l
z=#k@_g^l?{FSwJgjigD2`|e2i3)F}BQ?jqMAKx6*ly0!EEco+%9pn2yfB@o5o`7Q+
zCtg8GSD6{N5+U$=+yJkVjQ?Zsl>sRK&CPoRq0+85emUDUmlGsU?NOk~r@b|wFn(4w
z=2x6*D(d0sdYJJw$)7~oLw8$7X0kVyt^jr2*#UhtI#54?C@B}k8^83&@640{83%(i
z=X;+VmW>}{>k8-p+@0*|tQrf$Ir=FupVK3^XNu^?#KUZM`7Ay@?)4^7_1vkfLldbrBW<*`yS+rqCE$nxgxww
zp`y_bj3A+-&7GupV^+Sk2``9ntO9_P1vg*y7zPc}qO<+@I{Y@MPrCJC_w4~G{Y%Cp
zq#n~dcc}zdwETUpH8DKpnrUB6bi?!Zx2T@WKsHC2Y#zpl(yzhmJIP~eAwb}E0z@yL
zoyxL7x|GO7;an|LNzGUgmW`a;-^|zyY&6HGs=f;A!}pDZR&(@
z@eI#u1CAd@NaTEU$UN8(kvMyNhvPzbvmHJ>0=eo
zlDCvQcJ|s1vG&wO%B3@kxst+Fwf5j~sL0kg=O@I5;V8l@l9Wq-=@sJ6@B;&-LmQoy
z+F}`Y!;Vf3AJ_3Q+AA)_eFB`4Jhv8^BhH3va3>y>PCYfdz}!;V{QdCf7nvo85hh~o
z3f>pdDGp0f@Y}`^G(@RaNQwzN4
z5kNJBUQR{#gxV^L;M7_3rkXBjeA(k|jh|C}%JUuMn?k9oPh#ga
ziUbMZIA>U2x+%(UblH}=Zoa0;a_~yxicQUW<5c4f8Ts&4dzaOb9m?#PLY1}oKA$Vn
zc!4fBwK{sV0sN&8i0>$~>3ucHz?a0^Y(Hwm{9_c`q)e-xGK~qn
zr)@-YV#H`uJIO+{LM(o#PRjC`3-)x=r7}_8CQ}1!Ft5HL&meux0Qz*OA4F`fnD$X4>_gTmVB~|nrBpj140{+Wo+EaiUh9)7
z`sACY3j_%R*}!Cx1_1UKPp})a2L!H_;$-TIYFU`Q7%-?1O3_@R`n;=WEs7CCIm=e|Z@Se&Z$JT-mc8o!gK
z^Crv#IrX84d2o0pTA0`J{hC?g*yiKu2q*2l&-7pS_%+E*BTXE}5r&YBalBWjFnG*Z
zc^JvUWb{agG~EUBx9IY_O)MSMb<(U7NajwtzGj3HRc}>8#ssn!%b#rnvP$m>wK;yF
zB{l4;?&n|!&h8=a>I=?WS9AdOU^||f)c$ARMxo#=479+RPwi78O~xN?BBY9|Dt%cbg?HmGokOuZ%IGnO0Q4tPx7`2
z#X58B{&4UKJ@OH&{`?3Vynnvr#UKyB83es4NbEL>a+edLCI=<*dd4PfTKXWqghliX
zsOTCJUDI8ZI0#A3*~B}HzY80?@`wkeV}PT?H%F**H6L$TX8}A{v=31u{e9RD)4*kn
z^h^7qNgmb|AUM_AU*JzE{V*h+DfWl5Hlz&bss=)K8-uq}0lM)G+nw>wx2$Xyn~U=8
zJfE-I9pch#<8o`e=AX&01_69Q>;_NxW_{*h!Z88Ohn8U`H7rENk3!mg@b1*&T5t^*Tq;{ed$RmdGE6Km`rhJv*>I
zl6L7TnQ{J<)k<2gg6WdsXz0nDhR3*A;>$TQ>-GwyxFLIe&LFTsDL3K^sOy~I_MYk1
zBpjNSgLw=L`)P|iJKQ;Lv#Ng2^Mca@O|t@$ER&B;q@bV^q7Ya4tW!TP7`+
zcJlw9fLcNJtQ#L;Z~N@`D5JsTkojA|PMBh4yMt2b$W7nLsRpF}d~4CuWBnFN
z@a@SNJ6ox58m_2wZ_`3_m;e#&vgIajK+Z)OamYxH`n+Y5?>yI9Qo+}bXSfU3H|6bE
z;p8*plZSHUW1P)iCC$**HzwgFRnovz4jfREhXK_wa_z+Kx>S~Y9P~>Bxln0$ODbHx
z?16Z#(i)R+NpWWbtJ+=)XsA~Ktb2&9^M388=G0q@sdBj{6*INRu*mWuEij@ZZZ(8Y0l6yKY1t=uX8n@$Y-23}
zzI0!;_dw%sp-Hs7v2cf;#R(
zE9#{z#oa`xe2zwnF?7pZ8`qW^?fvrSJ#DQsZ4D&-2Anbm+|FnewcMI!eu{uC|1vG=
ze&~a}lr*rWsXV*mADUf@Wg2>v=6vUs$&!5I))Gz-WJ7v7tn|*bvn@D-s2t-BxCE+Z
zQ`;IM*S;ISKx20g3{{7f>IHHjBNop#yq(Q)&ilpFVJ%*i`KMp%6VBQh4+|4=uV#(g
z+jXrOT@-o~cw3g)*+{vWk10dDort@kZ*+zKQ$a(V`h8k)Uccs5XRy1Hem^XbO
z9DBgFi(z^{ngkqsJgIiyOLvsS5>H?X?6Ob+7`~xS<25+u8boA&_#axDQkzt-)VmTzg#(1RX`ilR@m
z@%3VfythkR<@0{!LDH@Q(d@I)VRZ>xO+}J?VF1J;$2LfP
zBf4&J_vpodVizI6vWCGsPq6D7m6hQ~WH2(VH!i+PX^@I4K*-uFG-oawMCt}9yy}a`
zMfrTcG06M1h~6*O0ECloNANr|&a-wPSD2gTI*7^7`&&L403KvX$fAX_FD*?V{m$gi
zOkZK6q>o4{!KwVG<&kp**4DAZ|JA!!1j^P7)YI-OH+yY)=@Z_~m;7@6TZA0?`={y(
z_P~*;hJqb#`+Wb+K1n?%n9}n)CknpW_T~@|ztXE>UWi
zgbl^WCw~dOpDurbrdIk}d9lApBF7ITQ{>-CljC2Hci0Nb7>((z!Xt~Y{}j>6v)66D
zh2fR{5Vk})!O9sBJqeloo2257OrO7=*Xy$%4sKNA{8m0}4hFhQV_M{R`-1fuGW!bcxtCr>l8gAw)uRE91!{|oj>>9tExw@vx
zTwq9haXr&3A82R}C9&n@ah|9@(JsY&r4vYy7D_YowdoF%snh2)(7pdv)PP
zMfaW4C;;2g%SFB_`=es_f7eFm&ZLD>p2YA77vfofpna7j%KQcKwjeollVPIsHg4ww
z)|{9j2&#X^&wX;i=U??WZD3hrjVNt8S+XNWi2y^D&JXri9m+68?*~g?z@ATb{2ApC+Io`!;O%kUofwB<}M?c<;N0;o|gVrkG8QQFH*PVId~K
zQ26AP-}C2;>9dbusl`8Y4lK`Q-tt6AYrth3IRY=|NxO+2kk_>Uvx;o*Y|N6wTn96>
z+-s?VD}wK~`DLx6YI&lG{jpSOyd{7IV6tnhs2cEygyx?#0e1|N-9Sd`k0BfH($6eI
zz6NVzL2VgAAk4Jyw6i$Y5q0z^(`L%qj*4_Ir)jxmjRfW8BufI|`>%9LH2f6buW6NF
z`AH2v9R)$$Wqv7~4ckx86`^$dg@-_sx8s88bB4Y8EC#XNQ&thcQn@Xb!AL@r8;W(H
zS%vldl8WcaRkM)MmZ|Fvy0SYJ+=5aphjA-IOKEV~D)!#3K5m8zB$@UrbD
zD{OT&I~>^i2Jc4i%<|ZP%Ask!{3?&vA?dZ~w`pb&gjnmh`TqV?_30p?YrU%Nf
zE2S+Uo>y0i>>oj0w^2*0>7!_Sy;RGh?ill1;t5%+
z$@7PqMj|i2!h3;pXzG~V^8!ZIkHMRc1o($
zKEt=;m%1&EZ!g`S3yNMHU{H)a{OE=LoM+Q!5kQP$A*_C;VXitsSJU3szz{D1e%(SI
zb<|7wKI1Or>HTMN;H8R^nnOyhz)AmMfgvd{?qX3u3+in-zeX5(D_v-~m*~ISlA}u+
z*Ec*iccN#_$YiDh0Bv36n|G^Y9nz`I2H@fxA?MPf3fWQFbz_H}_Ish}AUfbHTJ|-IF`OrN
z=A~a$VBjU;C614YS$upG!3NDo{(Rf8io=he*0%AgP7XeuUND}qALCKAv&Q7=#xK%#
zdgvNO+8D-dvA-DfpYlzAzdI^z>OSpGwsKUw_+A1k@<(L*Mx-D)6i$O%aioSCWNYa`HZR@O+lODiuu2sNv9n&Xx)w?bcsnD)n%g`QI&YnUj%x^L&sH`x(ni6UpI+6^8*$
zevE79X|dk6-YX_F)c;+9*&S|b4_I2iU9Av9#Xk65Z^~+EO6f0=(Q_;Mhj+bV7~(>9
zMfW}4^iSDhE&xDbjTs+0=_)!BrdB_Or}dd-AXhzkM&LGzc;VzrU!K=uWx$jiU+L@WN-4RA
zB|J>aXMy6bc+B}{n%aRM4Zxd~ftRGvK!iIKIF3$887C
zzzk*(bB;s1t-4aZCAV??g{pT<%vXkIte%Il=(pNY|6IHK&;0rxX@!pH(Zwk5TaMTQ
za&}w1HvQ+l{^a&qaz7;v`Bz`04k;|IDwHnnZVz%eFGgczlm|%Z=Jr8?ZgSa7I
z53kN7p6vb@Y#H!pWgg?^>~*WdiX
zo^fn)2ir3AO6g;UjAqMBSA`$t{7O3w$O9r(y_`+9fOJf(pcc0n_lj3Kf8JNeu)5TNhlgutw)2PF?slwM-0`oPvTLHh@Fy&P`)cAl-ssZE
z9r&rUsJ~w@c`D8(CN(nA$SN~w#`MF5&H?L_j}ui1m@GpVC2Q7{@c&`L?1*Ka4mkD=!N09r+An=PJCyipTo>ngCGnQ&b8U{})D4%M&9KtGfn
z!}CACv{lqhKrBI)L9&|L69F6NcY}=U|JDMKnh^dd4*ypuj%lz@a6UG>WBs_6G>YrJqo=aRm$C~IM{YHLli`^?gSReXPmTyJPphCK(yt1!E(qBQ%!E}
zikU|2HCnkb+UBOykB>=jQS!t=(yGRjoj7v0WPf%&>TOIUU-n_D9u63ogsKi
zJY54;yeqv#oUcXq$+8;-EG(*WAVEpUo4zsqnN@r+j`L5XIDGT$04
z_cUoWVAFbq;?d#(Y)Jeay2HE2mxp4>UXNR7jQE|usciW(l)pF-d?S>jM-=V9fNE1b
z$9;MOnVz1=J5y5cir&7W$>D54w{=s9L?`@fHzQT7#6t9M4cqsMrePFhHJ;NE)51QV
zMw(C+U-(F^y7?UyAqpZHiEug>B;AH#P9`8qi&Wt_X7vM1MsLpCWU*J~le!1ri3jV*Fl%gN;KPds%ks|Q&N+DTK+ZF99UZ5kgBT{%ow%L4(UPE
zJeh&jPEf{(RkXhM7y?JElB6dd1zLN48omdD;#10MV2S*faqYheXgus%MpwQ&FZB71
zDOx8<@-@dy8O>xQh5>!N*E0ISS*X&2R-)N=)jeon(}%;D`*_mkKKq+Y+GM{&fk%=^QNwwLl8QT3ddJ2m2g)PGlv;Swli{KCv6L1T^ydfjdfcynexE=&
zGXvdsHI$MMc5TkU2JZr^cCgvVUEc7RLpy$TJ@MN}`Q)%@iaG8?i^NZPz0RQfpV3>>
zeeIiOrDl<(L7W@4F}=Fnh?oUpt%9Z
zXfXV>#p5Qy*HN@(8XS<1b?3LDeBJYkz7N)^(rv0&qANd&Ws(wq4yJ2Ag~}Y=LnLgZ
zt^4M4fhMOm?6*~!t*7x|E
z53@AJFNKA@l{dZF_zcb@$LnZZ2(`GMmMGqG_Z!_HI`Z0P_;NpvXS5aZIxWWG5qTTCGml(B_t1ZtIlsXV$SQ0gJiToIvM?Tpl2YsBzJ@26@fKP=AHUu-|5&UdRDc@d00?Ei
zjBtm=?yN0TS1|AXcrXTv_PzQ5bw>$PUr1d}CAs-!y|nhhV-9*1r8+&Yq&kJT4;!y%
zh%s@2ij9~`x(sbyUCRBs^`okO`B+Ze!Q)1?OtuIYEo))IJ>a~Qe5QvjY-9cv4IWW`
z#oij@%eq#UhUH72O4D;|P=VFJIjE`&>I2Im2ihcd$A9i+A9C(L*FRUXm_&id*NP9V
z!^jej1^f*u$78>TUj)FdQ`m-TL{fjVnlYmo6`Ks
zN0!`cSOI2VQ+*zSI!;mIF-!_B#v5}!gitxG#gDE|^Tqd#b;iW)b?r18uBZ$xZ0it)
z8#QJ&>rn}2;%!+ksoQHL8^DV5&a#!)w;_91Q=F>w=DmJHipN2=3R~jg*Oj#3VoTVz
z#HB&kL)=8J#T1^7A5K2p)lvxLo{#(a_@9T-a{kIqA#Uz}U4?VzjDTibr3zaPppX=9
z(u`Id^gYTb>>}tU(R$+g^U&j$WG}s@HzoU;-MQSiTZZfCL%SNM7i10<1<(xgdPa;a
z(>EjGrl)sTw5>J(K#tyK=t@00>?r>w^M*x_W6C`{dNzY$!Ze8UMME-wGoNDR=Lfsx
zKL%9r2(0}BXaUWBpOHt7Vx~PBSmiv=_ixb7
z?8tAp>GZ{w7halJt%Z
zb}cq+%|UxRPP#=f$*CbY!yG+3@hK0R!DP=KyigfC9V^%ek!62>~#y;v6g}!TN(*@fP7A$x8u}Mmu$ELk?p6ma}Uj=OTo@l9rb-VR*0O
zQa~Z{#pBg;b2^#mp+>TLWFsD7Gwf_XjS(F*OW4N
zADmfrD8JAi8-FaY0Vps^sw-%?zIovKX#a{O6Y*wgr*OM%i&m{^(u#6pEszvQPM908
z`>>%s?q$}e-j^@$iYNM<_Io`h5Psm?e28+rkDavQC%rm
zXUTJ1KBQ>u#*fz@6Lx*}EE7AQ{Hl|_?~Ao4MhTeO`^RCY#EEIPjL~A~7#JhdZ)+^M
zu*SRMoc34pY$U?CAc|5f4qVQBk|R*Fbya|iI=3nTZuBng8fB8YLg**Zy*9YJ}Rf2*SBXXcIQ%&7Gl}&6e-=&O14LoRsac5+{bw$7K96@;(wq<{2uirrNvMFQXCc%W)R|nli7k8;_`(2{Pg)YEc2N>
zKTq1zcyq{aj=&3|!-M7fla_@#{f|!$kEiU~Y1
z9p_A+Bv+I&l`3l+!@p085Th`K^W18XKU}@Y8f0#8PGp~`>+>gJ`+UP+ZDc}y!3$)J
z$Kk7RFQrb(c^nl;Tz7mRzU<-Ul646ZL##$5s5OzgKWOioY{N=1N*+>~VhmfQ@E28#
zvXuH#nQ}q^B!p%Lymvai7xJF?!Rk&&`LFZvN4w9JTDIr=ES$-sueL|}TL`aqs~@@6
zI?O9wHoeUjaA>}4HHcHX`k)$V+ay&!Yk=Q;=TbLAll9Gw;Y`A;?y33OyZ=Ls#zGh%5_LGNJd*k~R
zbX`f3)$o8q4R-23Hic_^yER!VzMaxx=5^@{Imlb@GC>iIc_ya
zCgzpK3>i7X3tRGbulZcr?r2~&Gtf6}n@~OKH0~2&9eYG7^f-Zu$aFkD=w97r$_m46
z+oSzoXtb`Cgo#t;M6*!g(uLUD(Z+>)QJ?aY9;572os5!RAYDU=B&p(%7;BW;^B}Wb
zmvo=hP7@z_5WU&zdkKPU;Q&=
zB4TR3Po$mE6$o@_S0H~R<7Q2MM3};R{g{pPemKviqm%=bh{=Aeb>S=L5L7D;Ksy<`~{(HS#sZIG2~LabWs8@t7Kmww>R4
zhUA@#ht;*GQ#HY|p-y!3LNfJe@Z!5Lqx{oL8UH5op^@n4Tw&!50cDGohpp--$$6I_O=pV8lA-kzcFU0S8lFQLJI$u>6A%DOJ&5CC
zxPlo|V)(}_h1oujaZjb;xBrR4pvndQQ8R`BK7$VH-Fsipg
zL`8N8<~qmhDH?jocBd9=tJzwkzczJcX^Fv}UHYV!v&3KBUScYnu($yaL0c&1HJ)0$
z>^{`e6>PLswUvjboV}k!d^G}KCaGR{TZ8hD?-9)Rn7P+&kOjHNn5`E&BS~#&?ms6P
zFS%C3GBPA}S4>;AFouFh9vT_lD&y6~5`ec+rRl)VwyS(uQyNF^&e~3<+9xQpX&z=!
zVE8m4&}3TL{_NX78NC=|-H#hyujm};ONH`NkqOb5VmziQ12JXOWZfvth)=}^M{2fE
zb;YTIo5iYCgHU$JCeqiC;R`&Gx`RLFcYn~@rG0<=FE&B`DL*MK2xnr;B?O{(ZrwlZ
z`rtGvlTXvvWm9d5
zCziWq@$-^PZ@UP-Aj53(*3Y?F+?5p3vHs5~AG>2}LAav~HlM;&=xN@@k3_|-oYFX8
zykeAB;C0`)_Fg|lXH;LtaZOm5bRw^ya1#H!3GQO6u@oVg4>*p)$^n^H_}U`la=k{+
zv$RCpQP*WQJ^iTL_!D13SVp*WfQy`@#B1{*cRm{L-8vJEib3lS0UG+4VJp1NOGsQ$
ze$@@n5xJ}Rh*#O8V_z5SY}KjYcPL8o0xPFY4_4PM_-!Fyn08O+Ot
zdvoy#p|ABY@pG5q)@gOkTN7jDmdoBG`b#c-w7}7e_4Z)7R7=yat|gu{1;Z6-89$wc
z2!oKz$^p0L4BeU82uIMXd`rwmVp*DBKSrg`+l|xTnZe<1Plyjgv#Db|ou5}w$9TA%
zJ?}adIO6^eJ;L8%^r<0Qt6xe7%4{Hji9SOad5ZN_lmwA|xVNG=ar!9M&;n&uE;vuVCG?N>&_;l)yC%_j@x*TyqSS
zWc_!o)HdzKS?2?VpSRXO-CzhrtNIpZ!+C?ir&NJMDFP1H{
zT)A@^Am(V>9O>>}$E%jO
z{OPLy`H58|z{H7z@5WLL5n<{sNvX|~GHNOdHNpegfgeg>jCBE%b!B4Z>te;V?_zp`
zvnzEfR@RVpR8NX{-vqn?^rfPe2D-^yZbV1`G*xx8_PRY>rcndFFf%Tcd$lHPkBBZI
zf98dib*pG|ykXzY=y;zHxLtX7_VxiJk8i}J+7w0_F7k2Xj}Dh0h@!5*2II+SlGEDe-Gj+kHf;f{BraZ7kJuJ#
z)UC@1_#q*!txHh9F*hvtAyXU#TEME`OTbk(b^oTR_n4@r&%?zz&)|De0_+K4V*#gR
zb>xY>eS~ju&*Hvg2SFwAM)}^`hm6T)Sobjjf9*Cn)?`ax7O5}f|GN4?^(LNp!eE+$N
z#>NlFrmf!;H90HFe|nBZHF(JMwHI^-88aC$g$K}^&79LXa*p~6KFoLPVRoz3rlTe-
z>E0XyVlh73;qBCOUh17}Be6C?PNmSdZ0E!A`_UZpNTs>N-2i*&l7ipDC~#xi*X!)L
z9kZMP1FkxbvloIN_e$H@@CjBpodgb`Aj12a>K_OgjiL9Id~_h?B~^*O_g$qnXe=qU
zN`KnxrLQg2g58BiEPRDw>FNax4*lniDZ%U+!RaVoWt}vp$ky!HiS(>y&i-h{xzH~2
zeA^k$j1K&J^YKnCgBceNPusxFgqzGIJxzGuP8D9#QaOOEW-mZicLC7}EhKTv0n+`R
zR3~{;TOO2hSWa@^x8hU4TYLm&ENt(u$bPfyEXkl{3+CJYMk`7cg?cnbKj5UQ7#IUf
zteeHLQlyOm4fRFuNA%&JTVUqQWIErxe;|JAIADnt+J*6GV)d+kbG5gvawdBXj#1%R
z_^J32KCR%4R)sj;c7r)D4&gYy};W+-xRPM#nVLyw7|y=
z3_ZXw%gc+cTs#_n?!|icVENUN6Q17_{4LRQBXzGjJv!SbKsH_QyFXEf3sWhaRF3?-
zoi17?4*z}G;UbvOL=}bK=_IjRj&&Zr(~HBI&oiC51FQMrIt2p3&jfpLpMx9yUojd>JjB$bjCRTT6;lvsKlnhWBcAaLj
z|3}<={x#JFYr`od^o}4!P(h7Il`6dm2qFYUdKD?smEIFj5UC;^fj|W5AV_ZkM3j#7
z9z<#=p_fqJp!YfF`48TF*zkiSd#_ouX0DkvYc9i4qvdxqz3k`d#vBIKA%2rA#PsDq
zyJHqgETwNm?h!)`T1iOlrZ}+q#@kHB_w}{fC6BKgpX}=8$mPF_sn7?>y`5MfhwOc)
zG=E)%jo2NMs
z%}A>x-UV|(%oU&6aWAx#mXZlE3XUA;u+F$2@^bwOo6+y2NR7b)Yfs}xXl&1#
z#-l0M*a~#Ic-@7FeWBRSWXmL490F8(+4$0n;{|4$joes8I6nX?%Xp2ET3>dvhQ!qQtn1S*9u4p$Nb5g
z`H-E?b*lm%S3ymd#RsjkPNV--)9{e)$z&|7j@ZsK)MU>5);E|xnL)yK@|&2E@#=Bd
zz(m*(v+KiU!{PgzFH1|q$T3%zQ@ozhUNolsx0uk^G`|V^f^RU@Z{|x)I3s?Ojd1Hx
zMX$Pj@YN%vz?8QiRIi!x6kSgE2C|iBs@`+?am7d0SB+}0soSNW5~8hb#7M9bgr0~P
z&4iXeE!|v|KpSAV(c;5qzmJk`OrmVn8m31)_ML>W&n$?&qEbzYApwbU58uik-?Cuw
z)i2NCGlIWGy2a9+h`GD;m6S*QH=DaE(S_50n!8C$lr!vA6)(^gKb6Pe7N#5)m-0F4
z>g!!n@qDYGeC(61XNBa+!6f|$h^MhRFX&&0g1z+1X&9!?$W9>EiQ>SowwK?U!4!@f
z2Teb9I4WBTG$D$pPanRq!9uZ-LXnU&6-#vyi)1Tv`DF;|{eeE0}ZoXVJ`2*TXZ-_@IVC$3-)O
zdzxNU&sQ3X(l*0|U|YhU!R$c&+GDQR*s;j(TN@-TPOR9DfvWr)HX~<)$0oZUFYDQw
z&#EPUt_GB5FZI`{r+xYHdq-n8dyxmbQ-xQgt*9P0gp2O~1+g-g*ucToo`XTO6oelo(^>v;c)|~6g
zi*(_!K8vZPTd$^lq?XoZxi&YeEBB=wVr*lU8Zr;QaQT&1j^d{YYn2-_nR`cpO_hf*
zd?3>ldpib$a~)N?TYeaxhm(fkPm%bOrT$A_M06~E8ribp1$V2LRama6CYhoQ*0xQf
zG&;UN#yDfF@{Eu7G1Qpoxg#+hjHgs5#|)$OwP@0+qG#uQAjT(yl>G|uVY9{nGUDM*
zRdh!twF%dL0C%TBy7G3r9b19EFI6YU75k+(D*dxdPeoBf)XS&KuNCM1@@}Q(Cko(4
zkTPU(mA_b!jBtxr%w^)8C%*a#xXiF}AtK?KH2Uyf^!TS0WYjb9KW(9j&1L%(MU
zpaG=AWl^?BE951lb~aEWTG7N#K%^}A#)0?mcrM2XAJRf(hhNHA}>q2O=A`3e1?l^n_K$wY4kd8sh)7rqm
zH+2Vk3?clKt7GS`Nz}{n6eI1JAz93yp*r^Wk%y;E47jEb$UWw+ac~V7@})!>9pshv
zR0ke(vy@K9ng-|jh{*z|#*ibhB-?|i-ON~Vt3d-`rt
zn)6CMP6#i{7H+>At=7`-0*raR-V}USWAL}<{CT*;=L|nU`kf7m!4>+soubPd=3oKR
zeYG5bQE`Ie=t4h)-_|Yd?{L(Jlt)IlY206tvrQivTOQLMMU1Wy<^m0w$O?F%#`fzV
zlPFL-FvppLzRqNHkyC@zz*h%A8;2Rn&>3jPqJMz4l=%X(2w`Xsq3Dq)8eT`?fS03#!kSUwzhJ#CYLy8NjMZ=
zq69WKCuvWZA$3jADYI<;o-!Hmd0)Ze*t(+Pep}lv1*|NC`mpJ}Zv!3MCu-~=eyZ5g
zm!e?DurnP)2}=&Rg1@@{Gulz*ru*@4ouWQp4&Ezprx%QW>6R;UiEZ(XRy2n$dEDEz
z@}U=HAb3zuoW=ChZrY1v+KAdU`}o325|XJ^-IbHZUbTokFdLl4bmbqp{peFL5!>@-
zjfY4<4t;FWnw41_L|WIumS(kxUj5e7T9~W1pw_Vhc|~B3DZoZ+7gN(Q<{pE5Pj8_D(W`3
zoNp!DNm&4_n5FOfNxSr8f9eC&Hl2P}-y(x<$x}az8X}=MqB%9iymKA)WV6Fgbh8b9
z)#dInff*5mn%~!bhpX98dr9}jh&W_@X)N4K+RAT3A?3R{iJZn61aX*wu%{0xk1<#B
z5DJPcm)BRV)UZk9ob{TmtA~$@f|}u<0#K=kTKI3
z735tYVwESCpKZeyO!!l@kl4VU!osn
z@AE6;ZYXRwHCgnzvCXB4f@LPiIhx-u)D>l>ixqE#WT)$+K&bvxN^pDV0(m
zevg&`#&X{6$+0G8#;AH_GUn3eqp63FB`bqGnTNh;aXYWLwGwj$ry*k-yRPzS&++KA
zwg$o1D?M;jGd%(KX%ZB7?$yUjk6*dkp6Oqy@Dfo)L>e1=)ph9b(CT_EG
zWPwOd5>-Y=G1U;c+9V5HGhM2>nZ3~*q-L0{jjoH1C2@-eB!U9Da%nY+2lVp*%B@b=svM6T^1jq^y>3)og)rN;K84S@F*)h^Bb`PR(_um5sG=zAeY3
zlkum{ZgT3iVJZlsH|xJg6<1E{mDM~yv%D!ypRBhaC-t)tMvyxuufxVmyfvlT4K^$6
zEBwb=rbl!r+#JZ@=m?+-&>@?CR$s9CG5PF$ZcX_Z)pzEIVDn9tka$ELiJ$`V@#7t|
zn~wNMo8|Ee?}2REZ?-V;{wJH4uFScZR`%Bj;8$C>S#X;B?GWLdb^vekqPlR7Hi1?c$R$3F%~M)3+a
zKP@=Y)MYc2gYG}O>Y-(S9A?*#R?pMCFG`#6R+2J(vgyeqE9vgc9
z8w4G=56N*PUl<7UPidXz0eNCd-IyuL)3HX9Q$TMQzVLabYcn@n%kk9E31!>7JSa$M
zPeHv$I}P%YgR@lK1I*8lyqk)-z2TE_ADphcO+|sVPU^9F7X=Aa2}Jn=JB1qF{l=sw
z9Dq8Hi^P}Z4O~#pMqXJM%kGSBcCtc7T}DJP6QJj;xt0=78RypBh$$f^BtE{ef9q+b
z{~ILL97KA$Ec*;?{{%15RqliY6>|rRuc7S%8h3MSrNnLzsSHIV5
zB?p2%DwOU%6&ZtUzM%tfH~A^{M*y38oHp`!
zW&X@E?)@~aDwq=qYHBEo%1>TP^U{O`ai*qLFLrt}FcD
z{*qKuaLPOqM8Tz!a=%$gvA?ZN&g{M^RsuXj>Q8q_&DJ8dssg@U{JJg|q?x}}Y52@*
zS56-%X5oOHO*!hzmP&AWy<)G*Tiq+cKFoj0O7Yq$Cb~H&YyRNZzF4vIunCzVyX1Qw
zd^NOFE{M*$Jc$sr|K)C9<&!F!Ri*q69NPH=HR`Wr5J+jU!Z0~W-l+Yb3d|8zpf%s_
zexEhGpBqY@2s(@TUD7AJ9JW1af`I-2
z4hKY5N*}1O=5ak(cjHw*=vILq8QodgE!o){YG31C+4r@N!p%@Oa9Ia^Z*Gy?Jve`r
z?7XNTJHqCdT{Po@iet5*Tm(5o|iEt^*B`(@BfEjnJ?CB!@Ik}2MS1}
zS^QD;ja5)1w>kj(8FK}b1eZAA)HPmX%Gk
zLXAgh9~#(IexA7t_?(l=b?x>`9gQ{d%%)f&>Hr(X1%U}2#(gpD>mhfUUan3<&!eGv
zAK2BCwvP)6rEbQ$64g4XrY>$T-KowQ4@Eo6f}p2S&!UEN;E8AZ`Fr+1IVJw$BnKD~
zpX*TA-N$l@g0`J7>6rPsqe>lxT_Gkazq^$i1@|T==nP_b=Gy9b79_u5}o>H=u
zP5Fcc-QAaltb~UW$togpI9U*-u|w|S|3-Y9IO6xtYGUG}s+E#K(IApRoqn7rlMpLV
zlM1){*u>J?{c{QysXqojw@K*@Hlr%ygMs_6+K04c^7H-@^ptuN;owyK=~J
z%x42$k9g0qQ=b*VgYFlu6gfpTv*7StT(|^l5+XHK^jK!h*(cT=b2*dN-Tby|VA#0Qk|CJN;XT9xnky
zY%c_e>evS+ebXVIRYN%TkE0JBM7}P1^dyFor}F;80B1^!?SsH%ZJwX6{OPTeF2R|N
zxa$hMUU?l9DYu@s<~3l*n1&9ovl;M?T=QqM&PJNePLi3^%6PO(wv~KFq1V+~vb!u}G^Q4{3CN|z!PXsz*DD$~=>D$9
z?$lNy^!w@tZ|r;0kGO{e3IeU*7VBB~8n!PtVX!sms7VP1Js!u@kM=LGdp;26lw|?ljWEZb<4BS09QVw7EZ$O>I
z0fl~se_tBa!K~#71v%-GI@^TrZJ&U>nIQ5Hse_qBzH&ZtBJ?qN759yt_yfiYLOtCp
z%yz2}FLn0gls!m0&}&m3Iu`R{Os`Xep?u>c)^D{G6bI}p_8h&BfUZ!mApBd&1|^z-
znG#5Zp$F-0+bgJPeqEO3?!kxiq>_c-ne!sQ^&wr*Sc`k|Y8^w_usmtOZ&zS`)i`{m4uj&>zenMf-k{)1~)%VOvId3t+=&cb~l>|`2}?TFZj9$GUt3n
zHSqVbH{X$V`_E?p&I6~It+}lS@km*=VS^seN*8w@#5__ybbp3@kzXNbP_5r9475sd?p{E>
z)2~vp>lKl*yeTy{@#()Ma}hOW(ON@HQ+G`G$5A=ofRcK*$WgkT(1)Z{b=E>?qn?{9
z_8eelRExo{8xSJfPsxGO_*eEUDtIPW5p&-s&QhSij7)STH_Ibgc?xg3gwEt?M1V`!
zU8?#P8TXP2m`ISj&GE~4Q@)b%5Lq^^^bQM2XvLzqXbFpb|48q=?(&}0rO5{5Qu#AbV9oRmt8u;hz=QseB
zdi5-)H5ngM&iN`y<)DSEXjNKOZcs%;V)AUvYM@ONRo{AqeLi!)&s^fr-Ht3pXF#;0
z0=v_49hEho0FdtubmBPB+u6l})FMqtHtsprfC|#5=0abufOKMB(hrx$mK|_ecbcon3aTyxYmCY5V$&$v|EvkRll&
z@b>=Z^`AW5jPlKlU3`O4swmV(Slh1Aa-+I~F0-B4GW(4Tt00riVN3mH_5IU8bvL*R3p-ahJYASo_fxVcv>QaQY
z&Q-q;L$A!UY9hbShdAf_z1#RzNq~L&;w=~|DUs#y@#IqyW^!?S_RYOp4FECyb6;-GteX4jMH1Tvilk4j3?!dNNWJFCVX+U
zk;9%@*X$E7ElOYu#fCz|kK)Mfz8xmPLs!}IJ$zwj(sGgi2Fp&Qj8C^=VB@$w%`YN|
z7oG~aCX10|Dm!7Lu-P!TIik-~HTR9p7thH|!i4ajA<0Gh+qZhZ7ffQj+BJXVJSso5A6DLqGZk?37d-cgE
zV3R19JFl%JzQZZ99Egz_<e~E0eFzO?gS09?+w`B>Q7-}VJPIh`i?P)4y@9f{l6+zT
z_d1~vh>~Ak$(^+#*K?}XM42l!^_?C)t6LIGc9YbSNzdKA5fM7@vsj^1jhcgV!{Pj!
z%1u*u$CpOP54zCJhUNw~OuP=RPrL&MU5zCxH&_tOAa0~pfnCx+*|!~aeDWxeKpteL
zqFkzL`P1#0Dd3#(snz^=J8v1@sU?p$=@6OZ)HCfiV_UtM3OoGA0hqF@aeT`O6~)&8
zCTstUhYS`thX4_NG$}*`9fpxN
z=wcR%%5NaU`dv`xpwB3v>a4=g>*)T?V`}*3cn`d`{^`qmE!T-pQhmfM#O2YZCZ1=}SEUBns0XihycPPHyx!M$M4Kvr5JH^l3J0ZY{5^C`PLa38CFsnKV;r
z8z>LKcorr}U)CBl(kXzH;_*4Vb@F1)a@x~*{kgMEj8^_pCQyJPCWywL9HLSzvWs%t
zG0yjC+Wwn6)yvclBUt5|OjZE=rDbO7U+}L!z8Jp|;@xR4C~$hQN^~-LX#NH4Fpb7n
zAkDC8=;i4Xccm#7>iD6s;GdKleCCBY2tVXzR$X=&THr8E+>RjLaB|t&HySvi%p#wg
zjh)aO$~pd=$2^C2vPUlvC!PyLUB1{7^LI(CRy?lBG+fvgR&-pr`8B7IXatp8zF_(;
z%WN|Ys4_dBX;VPT{Kw`R!>1X*
z5(VY5U3Bowph%a=%&MxPIvP&r?q=Z>4{`o$#rEz=Oqr`J5WAP7XSG)L_=s~U9)H3x
zRxll9hcwf*b>S%p8*9U~#BB4uE?1L>PW8X`oPKwAk4AxeFi5!j+?H|QI&nWBuFp6_
zQlp{ryE?{n-TC!}ts1Aps|`)QA{`>^sA6woUkptL&<{B{vtzj})69#h{D2)
zsp#}&`lLwV2v27W|N1%3$d(x&;wjO3F;9+fm(|oY)liZc&t<~?4cMLCKFm+p;XQUq
zDVdF~$uZYODmc5wB9QAocbeb?QE8Ncja3Q#2<4dU7Rz56)^+UzV@qK6?2>$K&}eRz
zFpcCD>Vn-Usfhz-Vy9D>l;UhiaN!2Xp%~AKRf%75EFO($dUBHZox13+JV$ObmspMm
z#%)osWzkAfN|IXpl|;m)e9uNLMZi{8ZohNbHhu?2i4SRlJyi_Da6}UxH4+k>Dg48S
zUc>9$#y;ip$;Z&uH#SkKw|-yg_lu`N$ss{#(k$Ns0`Lxi1&#Vn#hVrhH8|E26Z}zx
zoKXmIIW3;1W>xjoDRZOW4fyS=Yc@c$v8sE!S+ncfqTcmw!NlibIt7mbtc7XXOOm&E{I3+O90^gtqk*}AYJlHs>&37m
z9a;+18IM>gqJ*vZ3TF)IS%&XfK;GoZON{nQ-bRm-JMfXM7M>iAUt(^>zAJ8O90+@L
zBF`N!g`6qfq6@W5So2%M8?@(}1FtZ>AyX4%MBZ+qsb5S@@RcbI-CN9>9UD<3f~c%D
zCJSwgc~6Pwbh&6u&)CN$J>}`{bC5q7vHC-?^d6gt1%J*)bGYhTFeL1Zm@-VDF+c>X
z4I*!}-i<&-4zwdThmVZ9Q;PxqtdbOC2cy*51!+4(!SroJ$sbMNx;<*Ig_swalN2;8t!I*{}
zwzOD>euo;V%vO_`1i$?*eEC_+Gale@bz4B)k_y*qM)RHZ(qeXS#Rr|-19d0Ih`+ce
zp^Bx9f;YTc>XDeTC4r0^4qwUsu2MxkTv28`hEYhaWAaZfdlN=}@?
zI=8COtS_(Z+yj|8aE2)Qd-DZ?QjL7_?^)qSOj7H7Usbu{GzJJ~7odRg`=7EU23>+^
z4w`m^DXn)o>K}eJVBcbnZ?6)g2=!+-xKxvs&oAPTz66(ezYb5wiXqKMYod-Yb9VSL
za}*`nrb@@ynH{!FKGeGOI=OQ%#Ed+Kh5P8$-O&AEuJlOzn|*m-QGXwz@@Wy}@q=DB
z?NCCG@law3F&|GYp$!bmdsa&cpEzuViL8P#1jG%bOIB*O2*OsquF5l5DZFDq7hBxj
za4)}u<@rc+!YApqJIU0hf*?YcW54|rsbi?U^><3{CpxEn^f1DXGKOZZ*5N^LS{hp5
z&S0ziNwasBYbL+zjH3(C7*t*9-Tc?c>D3<+xJy}#`JA5SKc6WhZe~!cWhw)E3Xu{b
zef$dJ7GXJym*8`A((p1oA+KqcA#dipq^>dE>#Mw9!RK%Db{t?FDwk9zbqLR#;*pe0
z?aSIe{tFT>=6kO*eu~8VYK60W=P`*SeGRL%mORiT#b|@g{iWqkp#VyJ-_VY5glOYt
z2hN*+7)D%}fU>{x@yKmQewo|f6moIwef6>%X=^-?=X|$d`?`&?7L{Ef6@**@ysrQZ
zm4Ez^-mo|c*%vm+3G4bgw7eEF9427)2O>#ny~uLedjKszrJ7~YGxS|-u*l(&Qpc8b
zzi^{a9cIhq5-uYIN+C@(OmfPNf1>+%-V=L@c{c}Lr8$?zW|ws*3&{r*?E`Q_glD|T
z-IyZRzrj3?Z_sVg2|5*@Qte;UTvgk%B1eOmaMcH#F*--Rx?Mni_!27<#|Xc@qaMsT
zTmz(j{FP3KJz4$LjXd2`Oopo;ha{&YHN;l+wK3JP8Sv!h)B(-dyK($Bn=5hGgsC6!
zAnA{c7ajfD>JEZl{tg(=g2J?eQ+!>byZ}RKg+VPf)HG
znr%2_{Ffktl=L6uwmAmpSb1$)TL9b-hI|u$1M&=aOgNp>Kz?9CEQ#{$eQ+)!IFk~=
zf)Fbh+h~J%e_^EfDv;_cz)ttm=Cu}7T;cYPAFu*GI++fKU$S7?MdMMt6VGgh{g|!<
z8H45r+9Q4Pm$Vf-=F}eVr~*f`cE0ghD7!l{=gA+EQv{w}vHqOu5%X#2oELMA=p869
z86i`l#CbIoS=XQ6uFl?ixM8nkT$c()+4Oj6*Ia>|aJlkP1oo-{f8Bv2tVr+-LJT?8
zf+-cna`9jG?lFDs_62(sM@`#Sux4@5RNDy@gi#b29*TF;Ow&pNt{dN
z3(l-SqIH~lx!X>HvM6uw`7#o@??^e7^xtJ({nlfM5EV#%_{}BulqJFYVx&94nIiD&V|Ba!8*mE`n$EQo
z(Xv-j>*0oZf+)l-n04SC(cnE5G3UPSRTe=lld!t|XayGTn?f~MTOdTooJ$wiE%mb?
zkM6!~;9;|xLsmpk$QQW~X}Q0F0fgv09UAZ1VX|bxfH6SQY@|M?qL`c@ApGU
z%#NpKp4FeF=_#DQ^)^h>SOGngW{8{O+^AORAf`5+J;-nADez#R2~555Y#1j7f0^nl
z6V7|QdTx24vN%`bh&&RO)?+xTxnujL~zkSN`8k3
z{N{44dc=fzQmlSmH)LFXXJ1*k7kfV5HWoLCO}xVmzDPVnN`t6J7Y*cNTJi|TZF$CK@zjAzFYzJ{FR|{}bgIBu
za*@KB02s0O$If3XHH8G!T~qcX(0Nb<*f##-W(H_oq8;qs6OMd
ze~6lV;CsmVOF3&tXon8)#31ypN_Q)^oc#0A5D7k3tfmK*u5#*~NDcu{qhgCw}CJ0C@(3ALtj
z$8mAZex{)xU)ZtPP+Jo7g(ew&2f{0|);;1`Jzv?+IPe@@H>d4ePxK9ZAxa^OIY1me
zaz>}9%e#VHua&vj2MX3*1yZyt?gNc_dk;8ii{>vr-FRNU>ssm{0D`00+jVmUxL8
zi#SByLZI*N^g5|2hrad#(^lLpv#C#e_SfsI6I~v0PN_}Pp3Ghq3!;!9A}U-^j2vJ}
z<1!oRnpuZ0t$5uvn@9Mub54G8$6rmMf8Qcbst}gAg-Iqx
z3`NTPBfn4iqodVDx<*qsuQp<@gb{lB%iiqOe9)sU6sI^p
zx6|wW%|DYFq@0>CvN{_(a-Rl4!{1k3540ina;zl&2n~%b@Hpg#W8FpB;tDeM!dAsM
zw#466z4QumoL9Ffm8u2`CAxbZ+xXGqZMybtY!VJ7KBZ7o62FI<1(Zq5Wp&qm%S>xH
zeW)W4-B)Up@Cd}|^n2gsw_XM$vA~bgMFMqcCbW8hda_^dY#^3@!7sk$O?pr02eaMu
z@{|+yUq!w>XVic3<6pV`|9ctnmR)yN2*UxzL7vbV+9GN`Xg5g)=nP^)Jq2c(7*f4Z
zgTJqe)M6@`P*7Tevo^4>>T}BfJ$I!cL-M=ev;%-2$RYH|s_m2wvw;a}eKm;4nHVtm
zpU;a_82Ph6#QL&cr64%5yJaUoA36Wani2IPWgI0N4oZ#CuRY1OJX%T}zWRS3Q%!jT
zO0A?~cna`M8|3)kzZZ7A^^`y}@vb!vPJ<
z67r3`fi0;8D>emM)#jL2$07MSd~z0gDDSWHt%&UdqV0v*X82PCF+fWD8c>n-oDDCw
zd!?FHm3UmzLG%T|Mp<1D&pp&tW=Kp$G=xt|uxq5Avi~x|0Q-A)z*u%-Fh5QwPHj*S
zKH1DMR(bITdvVZ)%de^!l3u%CRXw5E+{jGP7nAJ31MwG=Hp&AF80SY*XQCG2H=So4
zVK4Sw9ykDPVICP3I@JWDy9(N52bs`Z@j68t=0#Au_ti8i+y;(EQ9*b|6d=<~(f^@@+FU+`n)pZVZ`
z>|jCQ`Sq36CI(k3Ho(da>;dMDXfEY!7v{EDiJMYQGsL?X=p@Acj@e=BYy(o_vL)A3
z_wy_B2JW7}Olrc;`_2f_ZqbWhMRMB-1X7`jc7iC5xtO?;9{mB>y;uT-<>Y2U#Q}+`
zmEvk)M>xPFkbs^DI^}mnUrf^9SAuZ%H1#svI19VvuN$*-*vSXOSv_=zP+a
z-DIe#tG?(F-aZtzVGMzL)ts`TUfdd)hRb3Y=qb?bYI?A9uc$mA$pF#XW_wP#?
z4tgPu1{1fYxX9Kb><1V)(>x*$@5x;b@Qk4uJmW|+%rHf&ASdCsvuOcOkWq-r$uWV8
zMT2`rgIKKRo#H~4Q~Scbik5WrmRUr)Hm_`yx~StEYrJKrnn^EH7iFfnj8KFNIUyVep^CRzsN%^8RQW&NFnk*kadr5f3oyV8_-XG6qY=1rtFxLJdrP$K>{Vd!jj
zAotYRZB2E%Iz8RD!MZk~=u>+?L4v5PwY+P#OE)(^8?PyyEggc_9pgP-`}Nye4&L0D
zUoMLoOs%1HD5A&k?0Th4~P7!M%W5RR>=5qlZqwCr?RR|)2>A(rY?_ieL=k=x`b>|}v
zOhWXeZ=qeRsP%+Xjst-C&7WmK6p%xwLszKX!Q`bH+QyDj@GVpXTU0qmnJ&26Hs>CA
zsK`z7-^HDbb$A2nUK6;D8`=Y(lS@<-iRgq1!Q2+m7+=h)g87w69OOI5HcPYiAwnMP
zMmqhtVq`_-hDwz(vUdSl+~($n6dQOGa!b8jxu?jjn8GAfz`h%jsA3(Q3$WF%je3LB
z24>!8QSL?8NJKe6{-#jJ&#A=0?uJ-{q4x8uOpaY5pakd`V^sfy<~;mhGfhX~i?M2;
zY3L`Laa9=m?h9xVeGR2L^;hruOV<4hD~j@(X{Qpa;?v2%i4ag|Gq@Kh4)wfmsBZ=R
zGCizg7-QW3rP(n7#}6qIdVBhv3cb57KGd`KnOJ=vGS=k5VvF#s{?PB|$12sF!IC=*
zmDAih*NH%Lif~3i8um4X({|T#&>L#F$neD0ADfl@Ei3X=1cpA
zWIN1i9*Xl-PTsD7ul4CMGn1QHJIebUdwXS5bC}4X6H)}%65qLR&AC^X88YVryWb-Q
zBRGzWh#~nEuwMoKy*=*6h^%yx-!0-f+KNlGU3^{v$>-NyC4Q=-hCE5Fn#)cDVo#Yr;qj7061)*`1PhnbPmSWNrQTO&cW?`9a(o50cKvlP3ZcZrRd5VX?^&^h&
zR~L7N^l+Q=JmZ$yK#BMMsxDMJlo%HKv0M*gPQ89Itly7aF!Ealh1VN`1bliHVtGu1
z6^q+3kU1kfj+u9AFN+yi{ymqDIbD`{T9EXPI+_@SrneD+b1xB)8ixI(MC_w5`c$di
zB)t|E)1$U+J6vRgq+u(CPr8a8Fno(Jd?pd*({uSN@gPPt`5^B7^QWF6v>=zq9~+GX
zYIL<|@djhPv~aKGrB-*UuQo3F=sNpM9&+7;RRQ^rU!?(cA_Xq2V2D0k&OzGdzS+ZV
zv@n!H{MyeSXLeERe%Fc)nuG%Az%fT(tp{vtXuTy?q32AMwzc2g9@b9oEmt_Sg@94h
z#iR*K54hT5vLYme+X&sRL52pl*3d+EpJ*O}$czm@o+Pjpv-52>^|UpVSW4F;74~nC
z{nx&sHE2zZ(TH)$-T7yH6s-X_E2e_lP8F9URzA16A9t;Qm`*N71#?+FxGQg)G!{fl
zL9+2+oz=cNjL?^j)#|obOGN58E6Z=oMU>m$LTv=@Jvetghpuuq@E)f*hX()hLp7W4
za&-P6wnWi4o*hWFCC5I~ef9g2yXJauAU5fhOU*23Oh|?kdA1V}{-?Gm~G|FjHl`x@)wrT@3O^F-dLQCk(*3=v+wOHSg`>I$dUTC21-yRa+sHTN}Uw=N@hYwa&%go0$H>GaS^1
z6~z+woLVU^z{78=z&{o_ez^kPFR=Q@0)lv$l^8a
zXjxPiaUavy?FwGf^*XN(Tp^|AWy)a&zXEVgqIFl$Xlh1lxRcH-FpM
zMS|bP=(Ed?`s%(`wj|>r|GSVmA8~XI;e|=5iMah#$0E>2narb**_vM;MTJXbs1y38Ujc>!ilwv
z$l~XG$?>=1PxYMi_HXsiW^)Zckfm(w+ku@4kE^+LGP$EYp$fzuLzeMNh#A*A5{Lbg
zSn1`lkBo^iL6g!Cg5SFU58jhJxN`-}j@BogyMg-`k&KXMva4oHU;X98
z0=Vifvj=&9b{Ri!`+aXyS2XXjAVqdb|E~VM6JqrJ|C+Z3z_I|-`Qck|l7DTtC$o~`
zx80Z+V){uGDyR<;ze>JQi~wSP_2U~HTiCQdmi~v9g6g!hk&foGL;RVpHmDLZ|pa+{0!fU;gR2dMz1P?RC_OGPgW%IJo+N^nIi|
zC-_~$>R8m(T8vN#PXsTg+twyQIZj{!GNf`QxqHu#WmQXxG{BSQ>b+=rU|+)p6XnTx~g1I
zPILg(_XW#l;kNx}P@CGG`ymgI<#rT2;Aw?z@T<>v39Q=NZLTU*AShOE65Hq|JupcA9l>0;i`SyZG{a&L^vdV)1p;C=mPFd|uitmn@;L9%cOy`AhQ!%xG#&DSb*nt=>MKnEp3hA|`^0+Ttk@dUqLyXV?{gMTz+l
zq}30;n&*yOQD)fnCqG4nE5;wCIGwP1RHU=#7LxxUmRYjYg77o_BX=GXdK`9!#T=XI
z1263pNbuZo2MgESe>L!Ha&ab_zb7tnbI~|wt^}OKe(aDzKr*saI=zxT=zfzr!x&qy
z)HQ%nr+55-G#FAC6tnuOq!+W1yR|P7hqd%QBi7=jTl>&bAh_6bxm5OEQRca~k%>w^
zra~o2u`t1H4l<~U$c?W4RBF7lbF4+Pq2zfpexocqUO^_MXa(Sz4>j
zo8nJzG27VJs42}gd3%8a7TPKMw??`TUfj1aXAymAzGpyYikjvaBR%BQAn|_x8?)}e
z-Su1a7mM5ez2=_;N63G!Rrzf_J+-+k%y^3xYsfTYQ1PwYN@vs*#`(jJ>X?D#_`3Ve
zpDgJQVVqIEK#D*a*4)wj>?m~GzHh4)9FZqK6#@$P=`DIjh$<)fiSxO2{FtNSuvg_)
zS4XQmN6nn|5Wmm!nsa_B&Y-Zn_a5E`e16@rsX;t!YdsiwpSAww_(L5pYdE4yYVZhS
zxhy|60DH1cA4i3g`Oq40d}J1HN#1!9>8yktplsWn;OW@lco&mT+)Q!JxCe_pwzXL4
zc1r?hQp8B)9G)i;>ur&*LP8$hUkW!*@}B9Qu$8HUCnd;bn5&#uKec*ZlVhsBbskg-
z4h!u#JMStIaSV@RH3MzjpS{!c##g*JvPt=qOV3vsjqV>C72^akkqUtYz%ss)adowc
z;`n+6RDIDh$Y#74!Pq+Q?)vOzrxMsYq#bFhKnyE~s`OM9Gxl`Em-wwG#DM`>DWQSz
z^w*#Ql%TN}`cChgvY0eDbP)#wkg!GOj3=sWcCar~TFR@VB&9&aO&q1l>>VB4^Kf)8bq55VNEM0
zYH^ooSsuXnLprNA*xRr0#iR@#4gRPvg2(b_FT3dE6;GDGJS(U$g&WYGeHA|t#7Z*Y
zZ$j*;w3r$LVV|uv42(AU@p%KHpUqDgdH24(Y%jivmlU3n
z&KaD-8t1fij}Y#^9ieIHX0HZeOnHuSp^L6%{zmYBn*|ngId!d$8?Hm4YFl@vd%6#7
z-W$r%F-b9&<$7Agu|5BT;ksObpYyI1bN9!TMa<kfAXvqhncT1^B8{~5LJhV-xn+PQs2EPI
z#(#5~*>(3r%HK^|Ylz_)s_228M21e00ewRBg{%{Bgz_0V7Y_oO303*`#QV|=Y&jBz
zKLaqol@r6*C9s?LVZ21P1wWgY5dDUyR7#%8?ga7g@v(-s9vg@M;!!R?|6bSgKs=eP
z=fFUg423R!F`Q279qm_A9IeQA_>baF+9}z5b-k^BJE-NM`9h>t4LFEne*b$GpyB}<
zqpQBbOghX(1NKqzjhPo|tf7YbPr34g2|yb1UQ_*UPH@_H4Zx64P&w=T5XQ4COjGx4
zux{Qh@D7ULC>DyP+JJbe9YV?p^eD*o_`7Tg!4((s(+~980lCGm9Qt$`)iyLKA3ZsK
z1wOrp@o|AJBC=RnY>A>#`vh
z>oo#Y?jmt;pni@Ynu_uBUYX$T2?)b>fWHs41Z!UDFIBb6is!SMm(cxPRp3w|UvPX<
z@xe}@@>F7Nke4?sOqw%X>cnmnYB0#K0vEp@*AsbozLQ3Bajxw*X`
zZ{P7QbcdMw@S~#N<~i&ln54~mtOddHfl4W@&{KeLD?
z3I|!=Wu`f&@v|R`cZ^#$1N?HJ7OGTp(J;kH*&wfDpD{i~+ppt?`KBEia7N5|QYh%<
z!!%5^bhmSSmzH6FSD5!DtCO+rSpmOWxyn_bT6w(jjuGW>E%HlnD(Ou}U~oQ9@0M{Y
zsL77m1yJu=5&!ze;eI@@++dj#v$!gs{9IAj}x!^F`c@0{0zWfcxV
z9}h8KRieAVqf7@ssovnHROF9PmqnCS{6xM}^aRg)(US4MrDA16nJ+lp@=n3Aba?$m{%SEZN5
z<#x81DXYHnT;=8qS<;r*LE&+W>fg^b?SaoRWF_09Z84j!%I%=E?Pu;Ed>kXcplnDx
zl-;-oJu0V2aH4_4+hGg=I*os`ed`YbX>j}))U3t^BIO(!igk`;u9}`h$)Pu3~
z{G^%S!p2K_%=KfwfqWRN${C&9&yw+1V%dO8x3)s-*@TSjievu$$VteLgH_F=1OO1#
zj|{;M%i77<$-Mi)*VG3C(LcjCJ}4+SqR-V?>t1JR-7&;wME&l(gL{sQL+eFo5*_%+(N$Y5Lp|q%Fj0M?ffZ(Sdt%e95-7Iu)z{O1D_aW
z`HaI%K0>|kQwH>cQWWFBOnw}y8uQdoheXI(gRHGOaBO&oj(z5n-Ex(zqtJ^pk8F~C
z@{sZ*1I<)wA(|k-B{iZ)VF07(oxzti+3vsTCD$)ZGrlonp5m+T9+>zy_aC>sV=n#v
zntVsE7&o}gee?$mQ-FqJgS0%EC`)Hx^H{j6Q>|ezv{Lvf5e{=D`5bZ;+4L)YAJ7qv
z>>`azbEVzwuxL=SP80lPEVA)ZANX3G5-U;CwPzeT@V!8Md}sNi+-l)Z%Zl71Xw0QP
z1}y?(;rK`rBJ&maRCV5ik5{EB@-33dR@-*w{uw)1pZjC#3@`&z(})0u+0So-N~;dm
zCKNBCH}SAtwEYnCvW}N;1K(7CIkaiOOfGDd2eQL+B>lIU7+xP5&b#R0(??WFeRa8YrUI5-^FO#E+%)$z_9w!izE8&(?tzZ67e5X
z4MyxZ$Qcg5;TBhov)-v)isN1Mf*~40;cwF7evf_aV||ZDc|NT(>OUg2T^rs1%J8Vn
z)nkVWNvr*uM`h(ZSEL$_JjcpgYIxajuTVdYtE1_IM)rEqosjP@^hE5xFzmEW+i@J#
z@?bExJQLq_t7)*gScf#GLP5ACT;ASSgV5XvAA$<#(_6Yp&&v>n&bIz#46RqYc|5>a
z8N(a*dm29Au`B%tuX{|mgw>HU8*RStH~_<>&D+xq@3sHe(}?S1Gm;J@bxtc?$j}N|
zhUPiXV-!|yO^&GJq!umJ@X<8G9%Y&n+@rCE7I!mLK;Ke#
z05;x>02|>Uol3uvTJ+Ih<+CU4Ie>kF40neDzs3WRca`SGDs4Zf_5n7HM^9tu=(EBA
zJ#lFH@*di-FYn`}1w6LQdN3x<9>>5;+0EaT6R2~Z5=6t%m%xfEs2In!o~ue5+A^UR
zjNL47*KfJceghdsxAj4yTMLa9alQ1I>f(s=MDal_&$j9Ds}p4GHt1$+
zQpsGNTB>B`ia~-yD#CSFidt{@*I~Yr3%hEQzWNf96?$@cRP4fRfXDvo6|~Yhdva!a
zitaV>(HQZ+JW85J?jbD4Tb#)g+p)7iO1a!O9(9Q~$!l+R?Oaw$rlY?M&RFMQ;}%Ko
z;H>j|h&GXL4t(;%MlZvvM+bhK`2XxZs?G2D<9kf~gNNm#ZaFhVrmmO2#N0_?2-bP>MaXn>-
zs;qnOWll^``X>+9BN~!&hLf-j-A))QO`h%cbLINZOv;zYey$M_G5Fa
zV{4li_o$@co^T*Epv@5fN^2kKS3aVtiu4B#ab1h#`+Fazf%p!xFG9~O%9Lj0)*
z3Ofv~%@GG-lk)}`2p1334g{h5cOti^
zS#TE3GiSfxh}Rt~KUa?-FyjgPBhG|KJ@eJ6wtNqo-+FB5i-OC`hPHCWQGo+%aJeNH
zJrmb&6;!a}a(mGa^h6TCsMT
z*mnfZjg=e!uvTP`P!Hy(x1bvF6Yxz$PMh-y&hF?Z95*8KnHE6Rn
zTLey^Kw_9f{qCIZ9cD^={&Q(MQ~px+PH^m4BTxS#^uY@3E!S7~4>r~<91gbmJ@N5U
zXHzz_*+Ne~U23@HtQM(4rQk+S+0|t8b63KjXZZ3V5R?}i70-9dNJ>~`kJ-dPVJ?7P
z9Hm>*275Bc&#&rt_w^W4CKgqiS!3BmPO)^NgH$GHN#u29+x4b!$rI-7V^Sn*TZ(d-
zkm$|Fo(r8{Pgz!u#?tO^2{c_XnHXZ2fsGI=dQ0uimL24E{FJe5G1aGc;?cg3Z~1A8
z;}I8|BY35v1E7y~TR>6lzgVEC-iRL{9J3^zd(rDHD)*tnSP9@3GFrPgw@{3O{yc6}
zNv`_GVw72nsx5y(^XvcRUUBGwax9#jWcC7x{ypg*F2g)9&kgaB+4879%ENR?u7++3
zr)i3MsnNm8(rHYd&)ckr?fhbG!&WRl(xf+5aFjHb)Bf9U!)x;BgXdFr#9?toT=2k^
zdft^FKK7~PnM(PNAR5NGdL^P3IX;tbW_+#tR@z$oV>E)>M+ojJDL{oRt~Q`f7rQJG
zV(ISE91u?LHI*P2#}VqTNvq|s=A^)|8QJ*fCs%G+Cq
zClWce5FIr&Z65Uo3od;m>U(2sPU=V#DamB$@A%m8DB>xsiotmbf5Aw)q%sRptWzM#
zCvHJiOgmRkAXI8%pWIbE)h3Qd9nMCt*0ei3T1#5nT1zxRhbX`n{b11m>5Cmc`X5UN
z_)Mu>dI>0b{a{!dp48++j3UdLET1^!yo)w(9#KI=qXGX-WcB%k8uFMnuGEsa-_VLrh$VA#Y_>pLT;Il)+RGG
zBhuE9@H@)uyQbsKd%-Zvm5kKxF3xA1+#7#ZqjXXNKO^Lt(HYE5QE){|PRw+e1yxp#4d
zw&9~R+iWIN(^j83Xw4#8&mp-r*)JC~yto$UGFv;HiZ9341Lp(qlliiECG8=ig0UIRuT1F@(-vAxBBS@iJ&VtJi0x&?wd63O-o9Y9Ys!In5=&2LDw
zr;!0@ONhx5W{9u-=jugtLNh9vUc91pbNEBtedP{jSAx*(&0)O^_Hag}lI!h?4;+JkT8P5~?WBs^g6
zUmHz{dC?|WRycI(h$b5&>jibQIRjh9nGK%4(Ia*H+s+bQ~-malM#+hv`HBOwus$QS4%}@&4J-
zW;@%%DiIUKCV^#ZMgfVLyZCcobpmtnf4?~4olHL!rLuk3iQra8n|#+(o0e)YzzX$6
zR;bh(&I3*r*DiqJ=
zSkFI0PkXT%pFzAGLy_DoF0(WH8gwjcH|bCc)z(UfE@y3sawo^BFt5n+fpZSx*y6)=
zb*YcXh%O_-HGYD_k$6hN_f*@rUO+II5A%;)tNL$J_jM*iAb@10PRh!b1Q*r5aoPsn(0DTxY~0Cv%(M
z1U5uaP-uH062fxU!8%`F0+&WdUW!D>Ood2l@Ks7r3`Uu<*O^}{1#D*MdR}j+_s*4i
zgpFl;KV~IF-p$~^c(pLb=W?}k!np105C@#(N}AK!e0rYn$=LYK=7}W$qPkoW!H&XO
zNicY_p7s+YH#bQK=qa-X^3y3Bl2*{28CKxHxXqWIre)fsbvD`PHb%KKSKv$N>+)N9
zK?Rro$DAev(`Fw#Fnf@~i!-q6%{k%Kv2mmm#`qMd@7vAsy6Wv!mt^_z9dTu}48AU<
z)dbMiAYSPZMKRp6(-!z=4}>1{m%7i7;EE5@^~Rz~Km8>x_yil7*{QeO5utM(cCtJQ
z5}-*BD9LPU%A6~bcP`;6DV|8l2c`IrJxe4QXYW1ghbf%P%figxL
zjlpfdsHVF4Q)SD6b#l*rqn8j_+>QMUgTdb#0;bT1+y?&jqn7*QgFm^+;V1c$7HT&f
zAJBn9!>C?pBhVSy^}708XimDNtGv#nLm7x3w-k%ml#D_dqQ=G_e6p`sMh99O+KTWx
zkH&7qpyWvpB7;vvC3EU5;g#9W)}_tBck$;!{?t2&rn}T|F}dI_rF5dcb*T0u)Fj{6
zzrv@QhS@B(S1V4Y16tL!JaOYt>ZqbqyIO)Q>mn003ZVdm^?S|gM*JV`TnZ?>5Y91A
z`uc2l*d=pK%|3#XEa}ZW8S!F*nn%sy-z8N})+E6?01Tr?h+e(~6~)yYc^Isr0;$$h
zUkWnWqYr+tMz`~puda8N>iefEh~Owr7R_+9zU<3~o_|WRR3z)Xw?Vp@jP=o@!~#|Y
zJ-&Uxc527}18uZzPIQn|9YVBBmTNOxo>)E5j8&wk~oixLy1mV`_+
z0VWVbZ_`rv$#jH7co|2!lNPdtB~VFJAg{i=
zQAWraz%Zm;@MT2>^1W`Aa(mz!Z~7DKn}qNe%SqKs^KSopS87RC-2j=^uk#6D1=bPN
zNI`utGx+h!6nuEbR5Z~uveHOJ-_`eHbC$e)$4H!()!kR_WP>)4JqGNY9ff?NokX~l
zCc7E=x%fIWaod=S?xOc4DKhM%*K7D*b1KkpKddG)6I2MRsKZE0(NZzo$QgqqV`O`8
zL()eA4dgjkH2DI(p*FIX!nmYcSCL4eR>4#u^y45?yhJ<~hM-&h
z|JVs$rvY3$^3~rl^MiA9njFI98;#+c<#u*EB`GRhd#5}R`yUJGhy2HdC<)d{ooN&k
z(=zk(-ox%s1UK%-tg+GqzmOaAu)hf9S|j9ojx6l1Md}b&9z~h7_|Wda4voCB%<9!!
z>Naa!`h_NE3blc3vT`E;UDIo(=KX+8^F#Dj|#b4nu=|ItI3QTt7Ki{n<4y^lG8w+
zd^*3I3it~mr9AI#1vfZM{F)9BzGn>)C4xxij11C6&HNJ8#+{Zru-k6w5`KNXJ_@!R
z2~Af_B;FeM=XQC+?t4Xly=9BKE1#_Olmyur01%uFvC5yU0ElKBs*Jmc;x@(Sy?Yi3|;v@
zZ5o4+$Fa@Y1_b_?ED}Be0?i*<6y|Q!s8emVX$arRCy&Q2!r6s2^Vvtlem4&ERLTh^
z3hGteB0)G2;wcmppq4s`7@laSAXKrqV5Cj1hz#g?aLV4A8ivN`>z7CcPAs7W?H+wC
zN8M_Jq2zm*Ky5{Rqn-ZeQ9Qwd5E%n8fi()#
z(Y1y8cLXGmgR67u_06oEryz3!iny*$4H1tuW-!!i%wVo*+XDsRyg#wW1ZW$Q;^3Fa
zjjSdhXUX!?1+uGDl=KU38|s=L-U3)?DCI7wcgJ{hX5Yo!KSEc_3;ii_4*%$sTpUMb
zZBNiRu*kB8G$sBNC|G8{HWg2S-B<9Fmk-;TS*?!_B%&d-STX|bkJG(Odk8xrH*oMc
z_vUA=JZmZpPKYAmFyeuu*%GGi;gx)0jyCXq9qUw+M~bvDGE5f`dcH(HC5;E*D5l?t
z2#8_i&N5o)w(DQLE5aLiM)K+gVQv*2-b#(A6X@qk8(9${r#^UPzZ_aXVL>a(>)o7c
zNNY_%!?rMQ{yc>O(--~Aun#BcFG=+cH}KC79@ytXO~xFF<7U20udQm>H12-&6}qzy
z;#H%Po4BN_P-U5rk%)_l?Xkq>Ov`d^^Ze}z68HGhy7)Ln@tIwOe=2A|zr
z1$BQuz4|frcxCp?Fho7LVzVYN1Rcc3HD1fBiBIS9gC+o{snB3j^SX%Znw
z*dk24M8@|TWaCI0Akf~q{TTD>1;e2Z`Twdg<+M3*ad3NyZp*pxoEb>ai4sKX*`(P5
zE2U3{uFftve)F7Dtij(SyR3LfCBND97TBLtFoND`N^-`+Jt_&D5rDt&9y{I8=yIi%
z&g{w?zGPyTDG}I;yVZrzhx*0Vw*et0sW#d_%hWih$PiiA?QXEGHV0@;mz3s
zy%O;1mMGg4H?-Rs<@P@0BnvA!yHD(lfsN33h*2n<4pm4Xpu=gZF~ruM?87#7(>5{G
zY;wKT>p|6N03{ogLK-@;SU$B
z$n6%-Yrs_S3MNwQIv0%vi|AEY_=>AleA_`_NY%8RcTFVXI1wym#@A~UJijsd_bfoD
z?A=yx)(tSDW;8P;=7of4wW=wR=+42q8Hxlb(q00oG<*#?0(A=CD4b{3Op^igy5N^CQ1nUZU&?d#?}
z5zY&h2T)qzDYX8ZNyjDcO~|RIaGxT8Z4+zuwKKwMR-d@0a=f)<6b?xI+xY8sOSx=C
zB^k8$CdX=eS^n!1oC5Fo
znW4qxC5RQyWd%nGO|YuSzNA5lwv<`kPv4D?r%&G$JxOz2o)Y_+W%iX5z0?M2vWI~5
zluPp$6u<81Y9vN<)=Sk1T17qSvZ(|8M=G8^39N>^fdnYlTdR7o)WLg`=wJGTMw~B`X{@wGxz)g><0&i?y8DgHK
z3WklOzJQfx;lv<`?vvZi-uJV|6gMo5{ZwSX%grk*N9Y@cS$N8V2YEx>&G^
zXDK^vltvP_-7dzHB`1zNrkwSLO15^%IMjjwBW(F5s0^p)1_Mk1?6IzzVEIa{$FlQ&
z5(Sp|-U-K4s1xDHFi|hauuh+_H}ayd1V4uGn0zy^{rq8^leCpGCYN@O8J9Up7ozJw+A;Tz)3FW3
z+q#Hk%akDJ#ZXrkVbP_|`ce}P+X6~xH{bes_kcd=pEo4?K3&u8-G^6>k4SdZD#l-e
zXOJ>&N~WNvBJ5SJWDnaguNV`Tuwi~_Bv<3vlbZ-L&_zqTPti@MP+Px)?d;0-%;V^}
zo^SHvi(tPD)NypY7Vp{A#v=UpS9AV^Rx5IYh0ym%e;e|o5BBaOx9{`gqYFT@S)`W0
zJ&D5TsP@YB?{3q`ZxwpJUk;?D{6apqdXWOs20LpHolylXa8tsy*|rKM(X>RDGTxd~}j{LGB5vCH>FW{ZBbh>AtAP_r2;9sD^WC
zYj?sSV1}C{9u~T~*|R_@Nk&9wB9ZXQ?UkVCaZZX=gBNkn*TL{A_$D4@uI2`?R5=`p
zd-+xNS>*myUV)s4z*Ew{th&#WsM-+DzLcnniydweqMH8|VUq3w_UU%0ArX+)b_R){
zw{62l*{PAJKJK3t4|oi84eCpZy?S3w$fh~Ltu^s>r{_r=YZ?wkz`}CFQX7G_e1*Tt6{elFla(FZtm|@rguTI!of|eeE75&VgQD!F^Xp
z%*)Yf>-gx{nM7Ou*fw29r!7N^YC$8$sJU$Fxm@AAf)HM=r;Xe~&vhj8&gp14la$_n
zhv9!kEY!JPas1iZ4RpVP9Qa(;caocX7zBMPfRDCA50OrIdRpW1$@CTRYROu~qrKwo
zR8ChO&~yTSpez=9HVG=u1JMO#2SH%l)XA-nZ}yvU
zi0_KDVK0G^ER$-C#n*5SPh$;+@XJLFXE+uV_~xE42aJW!eVcHejk6Qtn4yZ&YuRE-J^*
zE}!K(;04i!ajPhrZg2!3EFnIw*iG$%@ny9#v+?l5KRdLv9C@n+F3ntMIzt|aKeM!|
zi~8UO^En&6{9qTd
zz2sV)S&}--M7!5!#33tXc|5RGzE9G+sU|0bRp<*X1v;)1#S?YhRMaGJ@dypKN;b|Y
zZV)#g3r~Kg$rIYr7}1ttc%8+`{dat7jSmaN2r^6}x?07t{Yel}s{zxe0iZxR4z)<_
zL|2@yLwDkz{_#DgxxVW3FaUFL(E1`cegGa6zl1qYF?IV%KJ+jy=w1~qjO_(<2
z=SPE_kGsJ`4^9*fggmZ64LC9C1hN8XOL*2hzlm)$4WHCxY7hLG%-?3koLJ3dwX5KS
zDRfw^sanHSi6pKjZJB@q+VZT)YTdcMj?{`t{=vw%7cOzlL%S^lU%c~F+kAG3Bde~uHu}oIci#$bY-)=9euMwZXF1;wIN?jg5Xb2_gtNwh
z5tXo6lulA^Hp9UF+XHT-)pqsI3gB$^&P^t-x>f5m#
zYlOqpX6pKX9u9
zkX}i)Q@fz8O$!}~b}fL2m=wOtzdjH~|9r9@rIPort;s2c_%wtDZW-#
zV$xkP2~-t3AGf`J-t}wI<4osxZMg9qipQj=!7rzWiE5_V9pG@1{s;E`6K^=*%QZn6
ziXaX+0lMA~Hb1yC>y;i5rfRjDA0k=~D9$%6hnR*=>p{tSydxEQW1qQ8>ag!#tHoT0
z)THXklUtq~v^@g^0_w6FO9{qG3UA0Me$Q+bo=k%7_0+9DoqK=Hx^+io4D{h;xwdrh
z;oJ7hkgvFDu!@7=3q@?g8_E7nRl~amk8?~VSJ|^5rLRk`^QN6-tJI%5A<)$(CkwrK
zFQJPIBdLR{wIlFXoyg_#jqWAklatki+K7<;n}EGT*3bz#D!u5z2?z6YX!GNL;lT;@
zXu&`!>IgOL=5l1)>eMVS_9>CICRbY6TrAR8pu47sP01rBHGB89Dk$sjJN52r=~|z{
z?p?&nHC^Psk9b4->8oR0^O-&QXcvt0(K3-B^043Alg-19K^v8X%tX`bvm?!>)dI=^
z1~36&1UQYIyR)Sq$ea#o7J2)v;&}9Ww)aZ4y9CP5>_k-btAQi*t(loRG9{3S)S-A7
zvrY!icgK)w!!>QyH8LR_Va-oPga+R8b9Xz@CZ{vR>?DDe>k?hP(K`#t_1(#!L_J7u
zT(I3W2>(QBsC@brnK#}a
zXwq+$1mc9NcDJJXp^^v`Fc4rh$L6Fy=m_reJO&yES}K=u%fEe8W_n#yr3y|*W&Ia
z$l=k)%RmL-zRP!?9XPW4LKPy*jA
z?zAEr9*Z9lal)CwOUP0v782j&X;LIh&A@a!(!JKOrT9sz_Xr3$tMZ0~12U3X`P$I;
zK)p#?>P#fARekEH=_`8Lr|(X=v8y7(D$_7dl?WC@$
zp?ktyk9Z|v$&~u`k1hWkuRTK=mxZ5T4YFdNerUrv@QQ<>i9rX
z2iWX|AV(l9BRaF>Z0%N%&Mqe}scw@n%)LQLju#-f1L#+yi|TxnP+?E#1nJt}1r_&z
zehRNL2eJn~zb4QXM1+f}`y>ixDiM`$(N526vZjLPS46?IPw?M~rnF^3A0depnf!KN
zQ#HS@q;k1IznZe~?^|y{1QMAieiuWrpr+PY7^DW&E^!?PI(mZ`RR~#yC+oxMp)KwF
zPGRJZwH<>G^FdEMiNX*@N0sRO_AA-gzgxloL&y-ALyuc&lTB+Jp1ogRo?XXfy
zbtdWFqDF#SLxS~EE1w`LTIV7>@MbI00-|%t8}6mw5}F{EqCqj-XG`6l3V{()cftc0vce8@
zc^J2k^eYp57%Ad#`t>$X;ZyAY>jAMF?18Z4vi5s>Pf(Inw6pIPI9D
z`}s|Kk`pM&dYcEkE9{_W?%o;H1-wG!zWl(^Ubbo?$i;?B0zXWmQ{(AfX4TH?(_F+
z8hrE3G)UCF1&ir}JlwJYeiWo7E0Z!Rfy)Qa%rcRBQ)4cspBXH?_g=nd?Ya
zRFnThrT)AQnDm-m0HjzyzP$R}hHXnl(9QpTAz><#VKpRj>jhnM4zQGUyWHmu~UFo{)mew_yd=
zdd(!SB5gXUeM$?oAh98(rsxl@Ntnx@9DHESE?|LkyJ<(zUGSY(#Clr>>z!TDS)|Qk
zzOt9)9$`YPTjzHIXMO@_&BDuPh^;CBLuALWAF!r=V%IdE`mAX;Uv45xsp=4u$Ak=S
z?ZLFHM%Foei)wn!jzm`F5Zq#P@jp(!tS-WNL287Y4aHq?N6PdklGsKgnb1#GoW2tV
zAwno-brGnnc96G?zETgv_3a%sIJ{QeCvu`dm147Rata5!i94Y^RmBf4t2VHuTz3DP
z(7BWWH+D*mlZCQdF+Z2rU?O#dg6*__id)&4XRbdHofjN#D9Be})ucZ#0*7TZkOFi~
z1lk$KE)_268VW?HAfNq)K%O<3oisWV3hlBJ{*n6mdQ-|bunu}<+p0UfAaUEWJOJ+N6gsCLLfSXERRt5T*U}w2u
zTIR5NWy*TG{~shR*MypqKWgt`kt;AqVHu+$5MNWqHdC<(WoBXI-PIUT4tn0!A*
zd?KG9^NHqu8D*aB`kz)q2EU#-yb&)(MK<=f)t1?mvEM)a)t1xjx}a9kV3bOIW91gx
z`pp4f0_Id=sc=3x+=W;g>&WG&RQ>$kB6r^M*N9h4tr0!r#^J10LI8@Z@tGX-
zOvTW)kk;bmdJRUUE8p0LRD)Br2i9e0mbn{mhGQ)s6$XoqsKkjc5&Q(x4isSjPW+ez
z_WRQEDlK3f(C2{$v-+Rmi+|dlrdqKMxDrHCxbH$My)}cV=xDdzIjkL2zS7KkOlplD
z$R<;5yhcb_=&WG?C;HlOUVGV|I!a#+v^lZ_2o-(mMUtcZ-#shIH*>s1qWKFtHfD-b
z)ja!Q)C?{2Z{5ebJv}Ge4pN;*akgfw5O~AAKiWedmKupS%vs7=LkE3q7gMg+mnD?;*^<`9=qn2w
z>)OdLpFxy0_bVC4lN{6+KPH^qCy;=oes_t>12x@)*hkm!HD;@oCfNhs|6PqkXN%cj
z_k~l=nmb@uBGr8G(f9>uvK!!YKZAIUQoJdmZhnls#MZ~W$lk~6YGmN3sKpoW(ZX6C
za~sc+V64Kqw|Lg1rTMrO0DfimH9uDl>
z!jPkx-$OHjt%mlMJoZ`er^sAAGgEhAT=ROQno&QXIR#|QW(%nlgO3O4KJv+^sSa4p
zeEvo24u{pqsqKHm9&~Eygqqd1k}Jy#r^Z9`vGB|q&?Ud}MH}fyBqY+gKpJ_3-d
z2*RXwf^DaArkLGPmEj(=9W>#dmV|4e*~MX^I)q*&+07t-)L}QWGc{!_vztc(0T79k
zcx{&wwZqdqO)6hpD>G@|SEeL-Z5G1R!5~M0
z4()JL;(vb7ZQW$rX4oVoh2^~oSq58#+nNsshgCbVQzI^%`#(v7i{#2J7&VW6kuiC`
zvo+Nm_;8w*;wpZM%M{$tGRK?Kf7PC>VpF`(ck;aiN)a@86+B%K*kqq8(Kc?YCKbw0Z?dLceGZzD$VkQixW|EU8^Fo!#7IR_QH`z(<|zc1sKiM
z@m3C&4L$sQl!5%rQ*!#8w}uS;GnJ)F-X49{J8JgI2%7mb#O}0JPc%SD>w_B2{I&p6
zJySSW`@?(gW@iFiI+3#_RZ@eqr`5N1$#6a#4zvo_n5TA;YG}Xr7LY*u2|`1)%ThUtVj?iNFs+vxs%fNq4s(CvtXd4K>~hzmo#%+p87j?j7*
zP6e|)O!_exTKc(H`47(4|W7gu@AAR*i^
zA>{TsVHIK@@tAv=5ax|R-`)Le%ej+asp#6eB#}98XZj9F@G=LN!?)x8&c-bNrg8UG
zGW&e-brCWCs|ID=KjS)tf93~AVe3PPKXyf%YQ=-FC0(dwOxgiaL0*Ei*B!w+eJA?X
zVr_u5bw{hOD{p*>nOS-k@vy)RC^OKRSO+8kNjRj`4F}}!OS4*!yPg<|+&fSnEJR#k
zE0H#=`}X}l^SrX6ORf6Qe5_g-XfgkS*+5t(XI)EdHvAh)G@PC)YE>iCROl|?yZ+t#
z9#6${==pQt_*D%nJtoPRmC>?8Vdy;A8oO*5E#xVxcvf1-i9iUBX4F%X|#EVpgKtr6E@d=t5
ziMJ@xgc6#IW+JKb7ICbsgJSWhW^k^&Fn_g+_&Ems+&)ssLzirF%Z_diSzp?>Kn@zh
zH_L^BID4*tF%9n{<83@+5Ns%IX;I>Q-Zf65k4!+>9E~;Hy6ic=4lmmrK~*yjZd%bF
z+pSV%dAg@>9b*(r@p;Rv5y$C1V8qDA14`;JPFWJlWo0_kG>_+53Io@AGAj-#U-A*1rzwzU+F`Kk;_ySDIX^Xk$1D$m)yV8#6kGdI
z0`7@4@w|)fv07SZE?W=4H?t%Dku}Cf=d-)5z6lC|Yfi1V5+FR}=#cg(abPp4scpy%
zSgkm2$+|aIhj)87t4D#O3d_%1bE7ksHX!Y3
z&KI-YAo9e^W($g!Ug_lNTqB~Jxr~g5&&idXV=5#n@?pI*DHeTLlc>DGh3-GxR!+zz
zAt@`R3);w1%;Ac|6a^$)g@DOT@b&+-ZIU8SzQ*-zF2`P>O!{W*P2TQ#p2oyLqhoz_
z)EU=Dt&})6GmasnV{&L6*|5gtm5)YOTrltb;_#1t0%78HTYA#iIeI6)pqQmz{(-wz
z=wR!I12_2VHt0G(R<0U5v3A|=Ye?W5>!j^ZM+|xzQ+pyi_eXNlUzKo250Jd@DIr{D
zANT_2jMf?)G8lrdLf!3FeqV5*0P-T#3B{qCNgHbJsxU;71+|CvDa-NRp)1yQ*h;V$
z)lSPP_-jp|$nWj5hlSw4Z7|p9wrS#SF0>gM<{5p6cSTFQ2
zzz^l9y6@~1OnreFBj~%o(LW9AAEdS`Y7cMT>O3rl;rbB{l8d}J{McBy{p%snb33Aq
z7WiKuR~2!j%Nf{RXGmZ--5ajVql=NB=52}BRk|(X-oMN@==XW8NFkF<6~5qjz}Dpu
z<-ZOX3#JLb3fT?3Gy!I$KdHCET=xoMg#$DSO|
z<=jJm*-(dViWN+f{fidvF$jP4+U-%?9Kmk(B>2STe~;b=nEHI^dHEaOq-#G!%EnMd
zRdlsy!(PPofwLqVhqxMp-GL$8qca>l8AmHryx;ZG^XB2=>@1x&qZS;uRJ8@#CO(dW
zT#%}efmQQnkSDcPJer(mtadhJv
zwjj~Ry9ce>io#6R<;`A>F}cr^b<(Lw0w6~g?ev@yy_P3|MU}GfMdiLFw@rA8k_6fd
zSw9&jBS_*g`)AKTorcuIYP@pg??>N7>%!k6OUt(s5VQP2jncEi0(2?7vSdPa
zi(wYd&5_kB8JyrxW-r;utg<4p=xiQWz0Gjw*5bm3)Y#tsX*>flcejg44;sBPAr>T|
z#3;$F_Z(QFPbf(m_+Oa8m(EG|6gZ6JF}d(GXRqLD$|!0Ai=O~utb5eb0ogW0BXLf8
z|5E+qcAkoipfx90PSEEn_(hW4?RRdAtB|KB!}hsfZ(?=6E}ek!gF&?9<624lC3|=)
zcL4Dt~wg`Ckb@qVehvcy5Uf
zZ8ewO5R*>@+dJJeXOj4X%vl6HT}PFr%9m?#$skte#qo8G2WjQ|IiM3W}BDCQ&U0@S}rT7@*
zM%pA2-Ax6or}BQp_fpoI9gX>SY%
zzw$(9i|DgVt1B$S2*CFox5MY$Yc-AP$?(NTUGbj%L@=XD7Ec-oeK2C*mJ+U`TEOLs
z3p37sdcx*&G=JoBbzj)SU%6g%xbJoFVOpE^@tbJmK~kA_<-b1pL+&l>AmQPaj{AE*
zvHROQ^tr!!-+v?Gf3;nO%-YB`(u^}1Uc@z9q)heXt8_uP8!2eyUm`<5iD&gU2wG|r
zTU^IicROvVd^BjQL=FB(Yc^LN)AMXiG!Ee-5=An<-v0IsibG3x-JHIGvujAijATa=$G`r!mQQJe73&$NV7`E@8a%Oxy`!mvyhc~FtE?fi`qVM=2^vq;Q0BV%RotCz)cL#u|Cp0#JykBybJEOXOQDjKHHtR0>BtAS>n1N
ze5Upl&Td_M^G%NDtNjjZlF(z_?cL`g|B{R)_vK}3u%r*=V&>Mvkk^iAy+}jaj}+Im
zsr^4VN&7Vuf#{UeTQwo3#i11ViP}RxU4JT#G93QrO>*Eh>vLvzq=#`0?1cAS4z6vN
ze_e>j->}CByqR&
zYeCzhm;F)Y-ND{PtW5z?AfjxoXB9#0jb-FzVy)_&ciFe>Tlg|@gD_3wmi#`S*mr#pG!_vfIzTpG|$$A#qf%x}JP
z3Y@k!^EC1Da?l(9xLjhDimBkkb$J?Wi9a+
z!fwyf2n1j^;D!HqM`g15gY6>j)oX({uV=k0Cm=T?37AWj4&9_J*6zp@37~-o3_yhv
zc)oQiQTgoQaNlp$p@ni))rVPd{JQ?f%%KPTHKth%>@<3nxKhZL)YVEQOP{qQRTx`j
zsKce`p`Gh8a}~IBSU6Y;kG(ll(=DzLvVVu$3C-9fhf%=xXceh
zbDtjw(2s1&Z5sN7d6v?1jQow&n{GIc{pW*5PhWMFSZilJB?e23YX^o1QOJ_~`_|B9
zO_P-btt61uDGYI$zpveX&o_!4$tl5Q{xNj!Vrq#pN*E<;EN72^=g6Ai
zdXYVxGTbB>Clts|MIb^Fve`7{vp{b@zLcw8vV7nH2v2Dryd#?fn0HN92%=JbI)5EQ
zm8RT6nwI?V1=e$2XDn$TwI%;ZbMv9qv$o?T?L5IC=wYnC4u#k2K(RZ9=T1By
zC#x0=^xazH)xw<$gI?cHVrxuK>U4cc)c+ozCy&m_qjMWRB#K%yLqBKR?|wbxF4kj#
zYp1B#j!rv~umrA~sf(3_tR3guGht2l8%i6!nCK}|ttRw5oDE0Wx=>Jh3IQW~UrbgL
zZH=BB%JCh#_2$K=c3=HPJdD&1XvFRn@#&ewR{Cl%T8$2IlVhGAgD1xHPbhb_0N$Xz
zlJv?G-gJge-7M~@9l(lMd4(gf-}Cu)GC+~uI-}!LJWbg9+VY7^sIbQ-@M+g~915%-
zHUvn<#K&=Z0oxYbVw>a$me^6kaqkCn|suYV8W
zRy_QPE+D{GbxL4Yr2~Imiqhm7tH*|=XO3X?Uv8b8A%$l$QDb?E(L_}Qj#me9Wxx=d
zK=bg(wv|?m(!VtvdUjst>j|wT7}!0Q{@pvLY}^V9;JCXvLD2?
zvLD!Lejl3Ll-*AB!x$Yun79}5Z|z8B%`*GTV@=eaP_ksc*4U#s()$*6jFzk5*bH){
z3XK9(Wph7CYb~lj6Bz<5>tEl5U=Hr@
zaVTkzy}aE(6`T+a+lPpx_!4)9P~REMDPDk5Xnk7?a-_k@r!ZpbC+`+*Zx~UGTwa$g
zS`3=+m!4IfSMHNJ7vA9V;@jMQ>HKjO*7=%+i`4t&ZbjRA1Eeto{0WUbqFLNQ=V-_S
z@T_2LT6ttSSy4rG)sFZgukXHi)2`&Yu;JEM5r7Dgq*zPL<^O8Ydy~=z<|CFt_DQM}
zc<%FMgG`;g4;P`NH#xMRRv$4s5plA0oOmjcKMSajG}@r_b5ND(yQNoYO+#Ithj0@X
zUR6m*E$?&5lqq#ByGV>*8!;FS6I8l#{4>Ezfn=bTef?%QaBPx304gnEvpn6+n`>p%
zg6l<#dh>Gj<{R91z_9w)n#BLjuStoO3)l9GEFw-5p1l&V>WM(rn>c4Jz6T^OtsiLs
zp{GR^OJ@U?^&P_B)=NqKR*XNh73yz7mZ_qMX7$gpYgacLgk_dk14<4awC(QS4+t9M
z`K~@G!@cfl_Tl>3aDGCo*K8-7D$Hm~jr%K{#|JN
zf(9mFlT5yE`gLZs-soAi^qBi~S=J
zvGBO5@ea9U0ZKmMv9U;D-9#vU;`qELUo&=3=1DZgE;`
zpijdDs}ItG)X42xkhO7Y_Rvv#_Gu-p2vCvTB}W(D%iKJ_YRD%<@8X*M=bFzqS9%n=
z$8kT3r(1RWT-u>h7~zIcC=*=8!)#z7&svhF@x$#+i~=umGK6(5-Qr=WT0p37k0ZYNmi%{MJGdI*|zOvb}^fj_;#
zP7t2E3Cib)0VFfs*%qKXA9Dhe8=lZ>cU`yfGm3iO(-0rn0FHy%*Ax`5vDjOn{CI6Y
z2yNW*PY*9f4V2eByc|_cY;L=Nyr)@Q+NT0Vi6k{o5t_}uX!0e$jLk||ITnrhJo;qD
zpm~g()9tHyaCP9)#CD_o=Pf_BAxlewdCr{7Mbtx*S6|dJ<>`=UjF$o3P@N{L?0zyi
z*T;(En@)G->V%Pd=)-1>mn}3RRL~Zo%XwLh61P0T-Tn?g`J|fsKZm#L^vGqhfOpgT
zXXO}h!cpbtxap_aw|G&kkP;R1Q$?s(JOqy3I9<$wjR?*d&^9!LeMbt
zEz`FXbe2f%p52E1*VC0x5bCsRn+6X{rTDBV8)dlhJ>jBp5KUSvNtqUF;b`ij7qug;
zk^6`t=tvdf?Z*#1wGt7Okfe$R^_z5vW4<+~yPF0NVV5}L9P%G;^1vAAcs+35m6q9e
z{*ZpypSu%{#}@^1cDQi0o|_7ME?ONhZ`)7>KyDBC!Qf5QdUn^F+dkil_HeXJC6qyz
zSiLtCjN^(gn-DAhaj0Ok=125KD9wt|m9C#bU`|1`Cl50omCxMM1cktY{MT0PbTE3R
zR>)Tg01*pP<&2h8m&W1Fy`=(6v{ojM;&K-pA)SH2Njn(PO_a~Wif}XEoJX)&4`O}ho`v_9at55Z7A`U*(?e4##
zGfTGn>xd(f-*&g7CLzfQ!a-cym7X87{HL`Gy%GJKW6$m!0^MKkinGuh*mD0zqm|9bwujNqBTI4@h8+tDJ
z=-1M!s0TcwF5X7lO(P+&+F6GOcL1FG;DHdZQ2$kh@hiiT3lq=^p_IgjSnu0O%XUom
zH?Du>b3F>*fq3qJs3RXPYDk3!fBv6!Ri}7HoGSqsj6+cppK+4H*{;vhHA3y+rYPU@#_`xCtbhj
zs1Jbyt}y5O-ln;?oeOVMQOlid#2Al%kLC1{Lj=*=vQi{GoHv%+cFj6@?AG
z698~Z7vK|Gy-Si+2a0xWj4Y=ivy+ky>Gh;AKV7jr;QIZSbuA)|W57ZkfzEt6@0ruy
z_N$lGfyc;NS>X23dfG)cdfqP3dk?%UXxNu;qSrWlLcOJe8w&xy%hLt>_%Rg$9r{*4
zN#(BPhCV^GNr*^TlbiS86KLeynw@n?|H?-jC!_>{#@?9E$1vu+~cK!RZL?kWj2tVSRu$uBJKHJusWZQ_?0@$n7rdRc
zqhef|p?73wNoq7_m3yCbFv5Y(kZ8_9u~zT;WT4C`_*{0Nz5J4v
zWc19SxLz>RGm
z287$OoyG3ozPqG|#!T2m6~vSFQz&(>=-}PwuaMQ9^&-J_jSU8b5#N)z11lbpz`XuU
zcvW0Gp#r1*3s)cM9(=|y3NI2A0
zS7wAXF*tL=N`kxw9Tw;if^a!Ve2#KCDDm}X_iY}W(PPcKvJ62cu!OhuA
z)TYY*B+r_wB+Fa*J`x6OQ~Wf-3*sZKH`yFp6|wjJvlz*Ih^C>3gR>vPc00zW|F^|!+o+G@k&&fX_}({=vsjW0gK@@2(r`Kz@zQnK3#)i;o
zqJPpg<7WeJqC+I6ijjHIS>ie#U#GR_oxcLC1?n#Al1YGc7@2)@e;~IaT^DfGb`dh=
z)Iky5DDY#VRC=ctR{uK&K+mVBbAEn$G~q6c<#(vPVe=++xxZ2ifw5=e{2`5
z%PpgvC8K3k*HIOuX9-=aVr7b03H`Tdb~Oobnc^Shv?A@^&p5k;iUCTBAs6#u7yzipXoy6YZ)(qXur;
zDA$K4Nxj!bVV@tRSV73m`af`utuS^g){goq{U^x_YnMAquG!W6Th-x2NUTRYep}2A
z)cYnatv`}%WTw_p*?4Ar(T?w@Q7lu0Zt)Qe8~96cI0}ktZraKVtJ|l$6QBSZ!-lZz
zEQ=ia2dXscK-ZbB{@ne9t?!ycoAK7us@0=Y5$4hX6g
zCIXI%VLQcyy%l>C}S;PqJYHwCu
zO)6UdFiNLlle!#oQ)O5Xz!=2);R{oZ>nA{|cA!Wwm~ciG(N2~L$7EGP*R7|0Lpx6t
z+D~HUDc>_8L4>0OOOTL0b2MiW`uKw~DzJD)Mw8yya=$zT-19EegbyaC;Mp#^_8Y8b
z4xHp%$;6V;Pm*$^=%A&lCeVh&$wy-;L6XI--V-Ey{EqA?+KT#mWuD?$n1_%ZFl_n1pvBqp2wNo7JfQ1a&-h(-33A>r_I
zuJ0bO*3DCx!45c7w`hnvsSIUN5vzA4dAQKfB(
zhC~j;$6kA@QJ3y}!;;UD?|@t;pkd2u)xD|E^6vQ-n0BUTx>#Tmpu|$Sv{iM
z&U@)eOTv}~FWs(r2Kct&<@F3uZU@^O_rJEAkxPBD;NmcDDA#tX5i&SRE2})WQNLxu
z!@RL*kE!8wQifA;WgpKyej2*_1u82^OyqcIIgCiOti?#?lGh8YL?sJv_8`=$BBQYT
z&@_ire%9H=4Hc!3pA1gDn8lX;@jl$pPoK8&xBxay&>YN4|!{AZByk*xZ8<#NQL
zEQo6$bgvYFbS#$Fe{8_44f*PRE?SxIxYt$<9bkO|z#%#F{|uT~f4
z7QC$Re}XaAtr@XmCY!KVz(D)H;Yb=P7%W
z*Gx`_z0dU+1Ruq=auIz#zEuTs%(&xp1tBT%KfLj13@YOT<5?s;(4q|5zrorL+M;#_
zIY?h*MS;1ylm&OjryK&*V?o5Jm^IGK)u`uamzD0U)jyXf~?m=Uc*)R6vy`aItz;nVxKI}z6rM5=`43&7hhX=
zLuCRfP$yOSui&PGN&M(g^mo5Y5S?g~_RWYsz})*@GA5*4EOnpJFHeRh1ZF2r1WsYF
zplkdq>nS>)uM()qz?eVuf${MrogmJtzc~0k`rfV`*Z7*M~bZWQmN=EDgFtR1a*(0
zF_ADRNYG3do$fgZELB-6*bUA*9ptWl4%^#G`^A492tBqGJ(pD5H;{hSF{6_E@obV5
z$O+_DDclG1w=1=(GE++5-myui&IooukDu}UzFfBqi5Q5$RaVT*)4v2q@gHuEnBn~H
zj|%K5xL|xp+%KSrpxn3f<-S877d0$d-4v{4S%ZbW$KuBD27=F4!~#!_+NCPaiA785
z)JCTqsmPaTY#**(^1;rZd8xkzP&i-V2=xQzOU-@Si|k&{yi5hX35$PRJ!Rb>Mi|BY
zl;H97w?*`6K9q?$ds4{>kg
zH5zH`yZuG*KoGV^*F%+}x*M^`Wqky)y|nc?6|s!E=Z;W!!?3WpsY6l{t9^@Zmwaun
zyoYBpn*`&uCV6Pq)2I5l-Jth0p=zz!=l+N8bbjxlzTRy$S$1F-s_xF96T&)(f+fs$c_Fm%n=-2h*3e<}ZqH$haDfl3Q^Vf|1Ls@aq@8
z$$rkX6OBs=gv7@!2dZN_@0peUT=@4t!7$H9V{gZ$5F7|=_%B1&t%Pc8C%!CqQR2!(
z(7p+>xN^P}x-wTPOtbZuFW=zM8O7(O?7AhM=KS{ktt)QK2l8{GgoLsOIFptiJ^fQE
zWR`^l_~Igzg*>3-a}poY!{$S-6COIwo;ZhljcHEFbjg)P{60mu9XN=BOczwg#X`-}
zyB*G_AQM8)CxY2x2+O(tz0Mx$E{b##-sQN9Zp%5U!OUOwb+>NlVODryPbv}X9Q~cz
zhtzC;k*4QxTxZSj@hJI_Zm4$v$K`XXCyWV@2+Od@x(6NVN8@|!{HOT(UF4@bA}+k?
zDp7AG+HprGOW{b~n0$|cs9Mqg8d)~{k6ceB|db-MzuIG0$|5T3$Fj_4+
zq+bh(whkp5ZF5#@_a8<-*Mc6He=9A9l$Sm#Jl+Zo_v?E*>Uy7aES#sTgQZ}#^YGI=lATv{Afa4(F@5HGa2%H;dZXLAI=z|ru^JoA_Ktp@N-dgq^
zwX@5MLY@DXv|;&gk{rd~T@J;Vh;6a83QgY~A!=G*HR4diWVm0c-k0VQi?TUxrR3KC
zy51BLGiI>D5PhSky+@^>J>fp%nJ&zxgtWX&>exMPhrZmZGR*ri95_Z;Nd3NuU)Gps
zlC=ENq2rqrAA^$Wp*Rs{RZB6Nmpog~qNwbZ*B{oNI>hcjgAi_b>7;{N`dRyE%XH6QY$R5xD8
zJO&NaZ?yebaoKP2?sB<0B9HNo%=E+6YH03eY8%yP*n%I0r-rx*Fj<7@=(>`+VjAssWXT{Vcmb5
zJ~*$&k9TfsfNC8a&lFTa!x~RyYpb#W_`9v}q7twbJa(nTkcf8{dgCER4L9UBdGqQ6Q
z*FD8_aZ)Vx^Z0QL+DCN$cp85P68haf-8gZcIIlFXwD?VxtwkdaP{6#ck?eu3chfL6Hb}XYH?Tf;XO@@Dyw(-C9URz)w7#q8J}IV|JeV
zA<0mpiZAgn{h^8{NLZM-o|#?Mf_-l;7Y^JyHCFYQ{M`HX_a+NKR(rcQ-8wbz5Wl8v
zA++RhJEdXVu0=X@RZ)JWhT=FOR!s7FMR6O3n48xM>
za%9J&eq=a+T*HI35{|T#P<@Eu^qHTmw_U=Z0Xk6Lu88v7?PCwOUk<_3`))t}WMd}R
z2Q9-zF#@%#xR7jIbmw*rb6_N}aul1_8s)NL!@zZA!P~Ui<$<&y+cbIh2ZUZOJmSie
zU9%ncCJpW94$e#&^^zQXziN;93=%Pv20cs-9bLaQ@=Qh#*g9U1DO}Td_;_9Zh*yoJ
zh<3wxG$f365?szKf&T2_vV3lGQ7B*k{3}y+kV}k@haAVJBQjtgH_S8gVKT4UQhi7N
zk}R5dX?v*)%?H&RODCc;I(~sPwPgAs{@KsfW5XP4t|vXq@91j2~=I
z@Y2jXG~cpqcBwOr4_+U|Fgpb*31B8T!t2e5E$~vd*#Sv&qf46e7cmu^t&{Tg2|rs2
zEBcM<;ld|#qQYLHajDhD`yZ~i=-JoiD{9(0D|aLu`0_$^l`1%W*efpnknR#=5#%v{
z5Ll5c6vp&9Fr5E`JT&1IAe~{JR&worL(E%P85_O_>*
ziJ$#=l^del=>Ugkx-EdI6Dgdq;;dERVc?vLLw&rWp-H1N$bLqIEtTd}7-Xxa=`-o*
z#Z$|1k3YOaB6}r(qR$*d9aDC}XmOUr`13t$QB|Dcep{8{u#J7bmA=xX81Q5Og=G6@
zcBZ~q_L|S_hF3vd&9H@uQd^>3FGPLI-OAuU-t
zn#2c8`%{ESj|a9M)^Dt3d=D5py|SW93qW}>MyB*qfckEX<)uks0Kuv)L(8edmouqC
z`7c!hlm2IsITfNUn`+7XO0E8!&jyP!)2*}r^^gL`5}w#n7AoeX;$yZ6<`-IY&1mFn
znn2P1kd+DI(SdocH4Wf<5h#;>Du0(*#ItO7pU%_q-37JwF>=2nRytE-)GtU-Jr8@j
zb*QKGRiPTn8jEf6MQTFSpA20G?2-63oBHP$jEx9c3h(U14T#EtcYj>X5siH5*d8;d
z7u0`xuO4Kv!ckhxR><8s+O+Co&XiAwPr$H4=5!24Ov83mfJXq6V%0@LyAj+>xwW~~
zG{+C$rEPKG`gcdnl=jt3HJ0R8148T^*V9E5z@AI3O);=bO@|Z^?gS#1jMRD*9fsy6
z;J4#j$Sfy-=|uw?JnIbMpu8lptC=QBlOSs5@hAB&2inA|gwyspktiR;!UMn*8<;~s
z*2HX^qUW!oGn*J(ZmQhYudZgmFT$-vp8meOz=^3=sPorsvV;1!VzV|48!y>{DkToG
z$dI$-nloOh?eD^ekpA)bxmzcl+1$P<+7XlG`88MOC6{S>!(gyf63+@-n3;qqsci?+
zq(-G3PAkYpaKO3ky4~bV=KXzZb{*cP
z9GH2Wr1`fhG-kmdrWv#liB>Y@p|Q^(7w4}xzua*|5cHWFT3geZw}%@waw&DbuVOu-
zXxEH68bx{#ifa|sAX+zkMn&vT{-`SH<@7Nyzzn_xQ_;(+>of*E|Fd
zPfjeRT@B-)rRzoi@LZ1M8Wyug7F9Jt4OF#9#MZT^13i6Ja)gE9^bfGVc+C3gW7f&m;#vFU(4ZD_SSD`tEydOM6JtaLzBXY
zeCJY`hvFIjVC+hnE$*43ZLb5&
z)=B-a#u@apDO1`RR$_AKpAFpDyJepJHmD%5S7xkd{o}6c19#VT_EI~YXA92Q-N{#W
zd|;go%P_A^G1`o8KVN;&e*!gIJKo*%@pU9FuYGi5Zw}e0;Qa1{b2Go||CW+^(=)?r
zZIWrp00SSWFZfxje?$lN;JpFq*LtBXo)ZW5$To3NS%xR
zTI1!3Sv#pqt`mJiGH08rFW_)h`0-{ORrvtQHvlh)W3d3IJwdW>FObX+57)}
z${5`;f^6)TW6XI_qnvTY*|(p3fMg$z+!CmT4Ek__!M{0Lp8-1k@_aqtm#;eaH<+miq6(-p?jMhpAnNvJI%$x0<
zuc0IoW|s?tVY5E5)AfKF9s?@qM0!ry(=Zb$(U=g#C66s^{?(rmJJW?BT16-N6paAn
zn%Lk~LB2y?aM};5vqtK!7AHz&Y4#_M-?E~JtQ3M_2@KBNMLax@&9-*!9o^YZi?tcN
zLCZdF-F@Ub$2oZFSr0WyzXMXrm-pXNJbH&u7aWqLQW#}@i9cPW?@Sn7I#_&Gwh7?F
z3wrqp;%q$}@r79ipV
znY)U1*-yfFMUU5^uLB~wRfRC}MAfyqMj(@S`>5!9d32(MXo!K7_+f3CiYL7^Q-UU&
zm$4)XGN?{u{RpSnzuy-g8sdi4{G?;$F;$F;e9myAS2Vl6iWN*zuPt;LtU~RuJ=rN<
zFMNc{!703g!{GX$Dh_Ce8-5ossyYRqvuTX~o`9B$6eiv5pAO-h#=Tpv1hACV)#$*3km4!zUazME
z*$=;EeDw>9aA$_@8vrxa7%cB)brs4lgud)nJf(Tnd(w$MQ6kkKMg=
zIotp0fiLd=E&b;~t5@*O-8tE!g5Qz5!-UNIW57}b)kQw3fjDH}99?H*``ZKsWz~ZL
zcWGloW{$MAbL}fj^ZGl)oiE^J(I_K#e~<7RdnGRe^VJU~3Gr-Z{>T066j~GX&2gYN
zXr&9S_I|v&fx1A5GCx*03V-Ceuc`!MeDAxZ6?kD4FWDT`Y6JhwmxcA>yXT^rGk}JK
z6%fV)O&KV=yT5U1L&VSK%vA^n2uPTT3}_NCO4>!847urSAC>D`zlJgh#SbCmn%DDQ
zJM(+^*Je7J*HnaO&yiGdY#oe?iau?8%^;m2n!!QLY{f_(AOKDhq;8$B?W9s08n@`x1>tjHThO>);@+dCe!CKaa
zwn<(aO(rfwqenI1DPJBj>_OeGaQ3)aRqPT
zhZf)>=5&ydEb$DFeLC0tBZ>{VbZEt=fBem3*=2QW!hq4
z)%^HL>D{YSt+mN_cP>qO0gTkV=Q&}%GhJwFw4(ST2Lc{aQSJkXED`4QH*)4nSJ>1N
z+i&Ha0{HKrRV7y@5zYsh65bmEi#ib?9RC->yYn|1gVqw7UeS(`XDD}ib(W`uE6BKp
z!K%NPr>(C;-fyt+HaSG*5jO82RHnXmS*9uB%3Nz&AtE!aQoZ6+b_(s>74_f0(0#Qq
z79$U_V7VH7*A)!@w*E!1+R$}odj(?f`8NAjqw>NU;t5t1AaCJ`Pw342VglMl#urbq
zQ?@P}y9NtmuXD}`w9D61uw$g+lTY^>%29r`4i)R_{Mdi*P{MzwAfniU^!}nD0HJ#c
zjJqRg`>}WxX_9rN@t4Z0kqcHN|_C46$e{+e{!w+nXc!rdUM`}_wVepHPg;Gv4DNurd
zW%p>JsGX76(`+!kbX!RDYhSX<4Yldv<^uk
zFPhaP@T60$LwWg)I!ok_Q2_@L+Mrc+IR`gcq3?fdwmnibZe&5z&!I$rLrmY~j$c8J
zz1F4`KHRA}Z>(|pn91{nXUZ!B-vW26)c#vCx=uGLW3L*f_zvnN1vvf8X@ZciJ!02Q
z(EUMY^Q9&n1+C+SNh;H~sx)_GKCiVKdN}!~=dz&7i+Wb7W)25Fi!J5YU`n#qFo_A(biG9
z;!CbJ^`Q&|W21Rr$3Dn{3pJi!?6fREfdWV-$@t%7)*(PCKq5PF&aUVET3imVueVw1
zTC~4Mm!X@aK#aWG=d0_eA4J@yH782PPj1{ZwiDe>+Ue#gS*VfElEqidg;tov-NZk_
zS}0_LgP1>#DlMLBIj;Hp`qt~{6!u*p4HuC)k9VS&*Ljb;))eJT#kn+!zr1Jta|ejF
zreOXYe|N;o%-zG7d_l+d?)AC9B+Hy!(5Vu+-*#Yq44h!{OBx#eRx4%6jzcklCs_Cz$&U9!Fq;r(vCO+#}SqWR_K6^|o@c(E5D1aqrRE6@acm^a3)ANEq
zXQ|C?*w?gL2fsDglc4J)KnoQTP3=eg?d|aFJ2cltk{*BtTFRw%zCNllu{x6u)4Yby
zFagmv_@VCkt^5#6Lrx2wY4P19L3Byu$NCf7pQhg%Wkm$;Sv95Sc^2{}^1#2bQE%l;
zrr-Y7TCM$%G^g~oX(Di%dthi(OT8AuMH=GuXg
z=)U<#oceH!J25G??q6g~!D4efpO-QYo^zGFV~((2VP2a^u1s9J6Qx&~m7C($cD$KB
zA*!%MSnP^uIuT}Bf;>zbnYNzU^@tpQY>JanAIgjR*_uGL*&5Un@e!}}LGb}Iujvu|
zEnWt}|3?9|0;o2`zt1uy{R=Vs*D}Zw6e7sH7XA=7YuTa1FcR>r96E3K^CNAaDz%V9
z0a&^t`ZHXD6AYwMv4E+WefGyAvA(B`um#6A-3M64(AC#W81{%Dt2_?(%j!>FLP8cS
znQ{P2?Si_=cb(R`wq?Z|P1+_u{6hwH@xtm!kWFrD(w6?H-dCWa=YsSEC^Mh--08y!g;lyqHZdrTmsvz1Y*w1m+PWE?pPq(
z!MS+JXdRJfA~5j_9aCPKKIZJmcg^WnW(VS3bzNG;xfg2Ou)U*84iV?kNP12mD~zxvt#>#HObmvEkDYC)VI)jvn6
zO(D1`!3z7D@gB>a^2qHe&BQkCnp2QmXBB#w5jL@6@33Zk27LerN=Ih$rfq$*JZ=LQ
z7ktZEi~hlUdlx&Q%#z1%ZQ?q$_W$t}j*F*es67iK~a{V{E{Y!-N
zVWxy#qauBz$vJe$fNXPHI&()Vp)Rjn4wh@M?}4G!7sD3&9B?rqoiGl8EGUr@zX!fO
z2IYJjl=jV3zBQp_^yX9j@jER@iGz;{pGbxD(^OdS02IQMET9_-202sxB346TR6HBz{fV^
zhY)OFGfHu)l-B0JrNllwq4<`tMR&w`$h?Z({%u}0qA41&Uz1Gs3<7l~7){dRZkH>d
ztWB~0cvN0o2wi8n!bv;pPBUj@S-a|?QLFsKs(!d24wj>8~StB
zL$%4}?q$CQceFJj{Or0`=BFG6p~DptGhbReO%t&+X~>1faD<1)XjfbgyunNV@FGS&
zgs8;cL_LTz3g;)+LT2!`4;&^JaZ>#fXkVO!1L{(8$kXPpUC9gj(&
z0UQt4t=m2-1FfQx3P~OeZk>(PZe;5v&0HuPV&|+I)U%w6*zVJN3}|J}zI7($e}@c2
zQBr3BaF`J1G%4%PegAyVpKxMZ`?)3k9*bzF1{&Y5ZHDf_UHe@RrKSG=ko6XBQFdMX
zFx@2}L+2nM-AH%05<^QX0@BUUNJ&TtNDHX+kVA`fBOL=s4M+?r&3xl?-@oU0-}gI?
z`2+T~XYCc|TIV{C64Hi=jF%M97!>xf)GQGq8~mabn{3!^jOw0H?3DUOn}q@iwT)lG*g_!=etq
z0(Gwi8Zk-f{Dth0fI#Ob1)-gNc<~{R-f4b|Y~c8f9YjlYx!pvyRlD#cA_u<^WkmlZ
zy#I}QRjgr0%Kk-ikv1p#Rn9__d@NKdq9p8J0fW4P9r;XI_kHo#G3G~)&(nOde>Lx^3jUg__Q*>@<=1`3ZMpX4H?)d9
zsb;Xo*bk$B^7-sWg5g@Iuz!a!JAl$-MGg(pf_}z<2zGB05HFcZ{G%dMeaYnK3s2w%
zqVOy2_z#=@6~i@cuMh^uir?~^w~iF3k{^&f=uRH%@ZD7~ZeV`7B_vB}qU35(7$0O$
zrSI8zE=2f9asxn?AI@Z8nO58g6PlhnYfZnxXR%k{h+n?>l>1Qbl2sr}e1-8+9)*gB
zK+3(d_V7)SZu*dvV9eBj9Ye_rDBi;WtMpcm+%UpAz-IwL*mv)?|V~ke=`K
zTFD8+;DcH8xC+frEeFLKr$u7uozXXOMv0Ga5fkEXCAb@LeXg{<5(yGx24BRTgl
zuQ=7!^Jqy-&|Ro3$$<{_nIf>F-kd~R*Jw=RKQi=v2Yu^SO6h4PO^N)l6FXHt2G5U<(
zFeC1qB7SfVm*I@CK^oxW>qf(ip5My$mZwpl+)iPn*M3SXyBAN*XCC=bs_HW$YPQ6VdO
zd^b-g2-boKQL7BMCKQb)WpVZ_XelsCy84`4|6pSCx9vqwdhnC=W`0*j-3;L8iWj%+
z8Z!O$vLYpEN{5+2-GD4szxs{Ex-BH9Rj83d__xN7?y9Y2%6LO
zDVw89v?;^lzV1l~J_mTtp7TL-OU9304yx1`tD@I9HN5n@>_{dJbYhx=apJV0(YAf-
z(mQeY^Vw4wfrvnYZ^$Lp#C!d0>uX9XKZcz&G7*YB|N04ds1a|s-9K+%k6^;4OtS??
zOrAf{?1bR|`lQ{)Pl{t^i3UsDDKN+G@p7W-%gkV#@(JK-)vf2@pYR*eV<8fv#On#+
zy~0xN4A%At^5chk-5HAUj|?g7I;6uXLFf>}
z3)eupxcpEUNN_x-5A~`#Mx1K6PoUz&anI&U&bBmw3mGMtaVMa;@nnk1B$uSA0G)<$
zJ_u}EPM*~^c=a-kL5km9Q1M=rmaq+6`L=R7!x$is)b$!Ky84t)5=>>uVaYjeKT5Tm
z6G%?{g*UT~Nvr6##Tw4D&hb@}u!!d*V}W&c?))N%3F3T57QHG#arNTye$`_+{VP3@
zLAa8g1)@_feoN+gLx>@P_mJFB>^|3v%LFyNiCJ#V%Co62RURLS
z<=)kaL1tD+7qaZ%=pmOYkIFinSCjI)R+AoHt>;!(DH+_&Ca?GkMdbjfa``{*
z>95807Zzdq;OQz07WK1Kw0aB*A%HfRv<2DqYE@Z&nsd*LA_R5{+d3*&PgH1tuX&8@9
ze_>W*xqeU52Lm+`J)*x9cgH(Cd{3kT{!k~;iu{$#06J=o9@EqMYC;Q?-r=F}ln2ry
zTM{(y!_z;m(9=!&+EguHlONJz}xt>C6b*e@V$+V9cJ$Tc5#B7rc@x!7t;y>3?1^~glq4OspMIt
z4?1R**b}M|DF>8utct4!N-#4`(hHq$A`EfH)-2vzYt^2Mb%PzXVJk=PpDdzFk^2OK
z;br_a$G84d^->pmBe_T7ul|I|bD?S(2sVq9$5$6;+wAR-N;!UvYg4e*+spmHII{VA
z04OZrSA|6Yc^nqDH~+)S$0H(;b8)Dlq(TnUyK6R0`b}PoW^S+1EKm(Eb4u}6Nj}+dMJLwo
z_ZaSQxG%xlpZ9QsEgPD(zgJplPqdAsnp{^GMu9p1GqWf;1icf;K>|J5%=^Ze4rNVL
zjVT`-{Alk-3Rjp=Xio)U;SYSiGemGhXU&@ZWM
z+0bl+eh7;Zhws<5h8~2M;fqV72z>^>9zvqT3M&*+CsIqcNcE#0FMF6UeL}MR=^{K&
z4)Da_)7=mA`0KN`VnbdWRF@O-mr*>;_mx3POKIP_N)3!*d#4P3+T*CfdxcEvAXafZ
zeyc{dDxR<--LuURS?w0mAeVk>Ft7D{+nXDgJKk}O|a(PuU6Em~{-Of{;jSc7L%|2M&Po#4mg
zM`TnkO5z#&cDcQ6(?s=NQ2`GdnsXhcp2Qh4_A}pzmMi7+yrt$ro<{9P8>Np$r^asL
z!^%BajsSk_B!2(2Ncc_`f>YH?p6+}7DT-Y6Dyvc2EIbE|Rsy5(gvB13agpn5@Qm;r
zea7+R4(C`}A>AJ>PYN4|#rSx(13RwL>TS0158oT}R_9=x0PxC_lm;}JoUQd93qOmc
zRAUt8lyaAZ^Q{-YC7m`AeIc|2eI9+$k%$Gs2o&RsID$Q7doq7ddZ1BsPQ)O{gHV2d
z?nnUXwn%t8#(22&%Pv)xgkH1m?LmRxHjc%&m!UoD7w-57Pp>eB5&Brhb;)=NW!|VG
z4{L>PChc6dFZQ2(q-4B|MAk6e$Bgo%4ueqLnOZ^U&l|Q8dDA}*?C}AqDW*;s
zv@OT;GsQ*^j8)1N1ceW>S5%l@)uYN(H-u@2zF_O@CO6b%`MuXK0$@ad%l`e8&s^Nf
zk5~#ty@SKd0&3Ta7tT4Csn~G59$}}awBBd=IBR~cl2bZek;*-duyY=W-P^ey4;oh~
z26m;V%#S=-6e}mq4Gcevtg&Ao1VVI+K&Tnr|5b^(Ci|6E_Qj9+5#@w~7hj{K2Sp&{Q2Hyb
z>+z!%n#KtZ(^G~Q2m){r@qQaFhwj0sHg$3qTBW&X9cLf>f-lJ*WAs-kl036tM2b{#2^`AL+D
zYlAKTmY=6ho@{!of)(ZS9dPNuS;NWG%2
zHZz{xY0UQ|Ih5JSF
zK1Uar-~T3_yT<~WOH>@|#~XbCUxY0W*C!ymm$HO$1X_kX5M%NfTf#k0TjxyndVUW$
zQs;N>C&xlu8{0>v@=g0-84LR}d6X4P3D?4v(eWKOHS!S@_=2KLL(cHBqc)AGmUQf9
zM*eR1h}D-HyNp^b(X^9Lmc6#GV?TYk
zniH+pa0fl-&-BERn&*s<+?NS=F4bIlFGj`xZ|qtGt%&dU8b2D1d|_HKLa+6d
zWD)LC+Uv+~V!+YqnB!A57nHY_`~WWO^?lHJTb`%3?ev@*Ww_2?mBq#+kWVO-Pet{2
z{uGpa=L1i4QN}gxIUt^JX}iT&Dmbwe9gEmEW>ZPrqx}FIXs>zGU4Gr54$a!K86r$?
z(mvqUVx6i>_u1l(YAJ)OjT|C&WTGpr*H%Fpinj-zcf_`MG|AuKm;bd+}2ewbp+w(}V6litb(8dziY4bdh^(jr(dzs`SkKP{QS6Y&6_({
zyfjFD`|S~0mR~_0rMdID{!(j8!sq?do=wi@v79eU-@oJ=HwT#@RY(E
zA7F}QGKAvNuR}Ei1yU6*Ghbe0g?AMz@C99KFtS)EH(ndnot*h^$
z7Dw&X8D_9c^VBJzN-4#p@SXtBbY&q?mDn(cA+%8b6#6r%lIkywQ+|FYyIUh_-;VDT
zV#>rWbVEmu#?n&I_3ntcrl_Sm)W*ljMyJPTS)-OYFT8g`6xN_uY5d;3b)q75C*Lb^%8@p$6njb~TJG}TX4t6sa6H<6yzw}PLYr6%*;M0RT$mQMqAi`Fr
zM1`)tH~;EzvBlnf>NF4InT`4*7U7!8J^yA)b*GBJ&LurCL%MbMj}z1MErq!NI4mlS
zi)MtuYL4N((YJS3EC%sHM)c+|V2eT$Ta-95z
zT6uo1s%|bd!6qfGE&d&Q#X3lKY62xyH|ktK#b)}*O0jk~U*6ZYz>6z{_rR)8@Gi1q
zzi&Kg<$Pf9#6a1#5iM%9+-Q3
zP!;5o^CPbst@0f?!Kmt7l+;Xsd6MS@-%QIHGFn1P$4
zYp-y{4I}HbAFx>FLn(b4!Lof
z(H8l*W7#C7zhahRBfjj46cu4MjPGJj=(DqE6MKuIx=!41alRPYb6d{1lA{!!mXo_w
zKKUXikBOa60)$kno=6=t?uPtUZsr5$)jaR}qc9MBKhw}Gj}40HpSWoVdj=bmqV&g#
zX7^8fF)TC=mE8loy07Nl}G7JHR#^iOR5)5XIepB;4SG`ee0`Ia`U!Nk&@{s
zo-<&^_iCA-9*w~?rWieeZ78TTD+U}
zu@mU|=&N4S6XaESI5{&zolb{($p_410c0(aUMNERfo$UG>9S>brdzH8G{5
z+t`*rpQ~i=#WwfUU~nl;^Lx?9@2$~g?2w5TH*4N!t*IzRUQp+#WPi!#B4O~9>l#=b
zGobfV^vWq+I4CR!8-;iN)k8S_tA`L75v}p$!k;FoKdYy$R1|Zq-zrNKlYo+WXEc}Pl1
zty@zZ)ldJsRGJj)u~@IC2`6v8>J_0dSig%kNF4u=J6)+TvX=UI_$4PznqNkJtdB#c
zYIU&HRxmw2hwSwzYC_xHbp~BD@%6RzG1@PSB_?R+01Le?%N~w-;h#ye=+K6`MUi2n
zP!#N7sTLq^S0X5Ki|uc@F0>_kRP)u!`;b^AVrfF3XY7~rx(n%f$Ibtn1#t52Ja`v1
zG?IGt&in{-9WZF?iIQ{_(Zsms`xP=+FwK<4;1`^D%hTez_HJX=?bp(kPK1ES<0}$^
z@1BXd;=&hDia_0P9MjI7Kig%_xzEFz^#?yugq7nB#pJ*H9Z+;nZu7%Abm=h+VMj{N
z!|l+3+X5h-d+2X0p=3+lzp>r*KPO-9yN9!J4wbnNRIBsILgRh^eFyB$eV_3$zsv4A
zfO#O_?kMAPFPzd18X0Lcla~A$9I9Y=aXiUI_X>}!S#er~gq0BCLXIqcX1nFJ=Xa7!-W3`B@z4>c;aw!v!
zv%4_m($5KwXnt$e;Wu{?BCj-m7(V`a|q2r3xH}h$fas%bR?;o2|EcEM;vb=gH
zK!N{dzj)J+cgZA-sbmfI@8JFK;gDT+xsk?W=S$evuh%;mYbaIiQ5$~uvNF3%8F0QE
z;{Bqm+s#@d;{jE##rl3i^4R{S-s*PQn(s7s>z;RF*F(C=@0M!cr*>aujcxOtjR032
zuO8ePvl>Qx`G>DM%W{ttSYH~8oxC1-?)UBAoXgaTPw&^^U
z#+V+{hY50=C#ygxc%CIZ@D(uqo&bMzb5efWkTd@@FzUO1P}e^~7rVG9`s4JztX4-m
zk^~f%AHO1>6fA)2BjzaH#`5elW*>dfl1@!h+H__3`{lsyosVI*FD9-z@fYEf&<3nl
zKfdH1!-I^vQDx0F6Bh=fDixmBk8fJ_g!O->kNsYtDiKM7^j2&?1c_uz<&VWWBX4Sjik<}L+r1}Rx&x76XX%eQGO6>I*247#i0`@<|9^Z+b
zjwT}SF9pauE4Yy8vd_ACMNzp+q5=x0Sd>P{0yv+;u_*cX=_zN{-aE*CjESNt`S_9(
zhm&)BDfb9@onm^y9ADr_JzLAc(q9Nyr36n9GRn>sz(1r@1*p!n-1}1Q-?r*KfP6@g
zJ0u(XIL9J%790T@=!Y*Te>{6n_zauaIlP(!ESsd}wtrdTaz^O(z++?djlycf^rK!8
zdcFC|X?~Ggu9be?x@^U>8b8h15eR2h@A0tFYey1V0iMEM!{nB0Y|4bY^Dm6MEdz+i
zX@kUR37Y5ZoeAWIA@5dSjVth-sdAI$`;V{~wC6zZYxmHa|HEp*VR*9S;8lNXQLmkc
z5vb9@2rZhO9-H1}l2gHFPPC;`gdYvaUd_o$_%KX9(wdhZ5i^T)gt&b#IlF#U&
z&M4b2aA$ETR(%2#T#CFfP>*h&f}Xi-^@tPsz*pa1G|7WXr&*bzct&#tTMAV6LJ<3P
z@A@i)Z(B%8q!T_Q!$TU2$aPgRALfhpXPxM~$oq2WBYXOZ6l~W(4s)V%tw#zG>wZ)9
zTU6^3=ba*i(Y7B+p@|5*PZ9Zoh)mF>#N{GW9fb17QxmSC;HaQ^YRcbsP7O%QsH=h!
zJV7P6+Q2!T+me%qI1ZhizQ}>5gZJ0R|A{09?l@lM_4GBEbQoDi2F-LJtb^b2sigVL
zQ9=Uo&t^hG(Is#s@Srcp(5;*ea}(!&sd!f>qLZi=cjFwj4HyI~PW;{lZAM3#r|Ltf
zTfuyyXos%YcPD!l+vW$+wS0eq-LYaPsm1rr1|gX|ef7Jv%fwfB(9Z>N<4G6##h>9}
zmnjR)f{@)&+ec}bG;J*tNwC&Gs)pl~iWVd0VH8tnL(r%<7kcE1wPE(my9K6uU;7Lp
zX(<+H#tH*?z?&O;I}tF9;LcQV?Ar09nLXLxZ?gzk)yJp6VEW@7hz8`Ti~A67;l!`XSD2-I;ikw}D=RoW
zr7rJ})`xS?24QU@mmmtl>7$&i|IA-UIz1XIq`n4<^`Qxu?%l00UN}O|ld?*04
zWsD@xJS3HlT$z>0HL#*gZ0`7cYmsB`nJ<^Bt=y8bJRU#Qt{O=5V&9i^Y2MS;6So$(
zH5ry%DO;fOGWj6^2i#xuSw;5A?oM~}WSg3?;gf&AM&o1jyQy*M1fBp6qi@cWk&>-i#h%Z)L&~(pGs%=zn##QM3O(SsYNnSf$#fp%uo5
zkxEa84>_-IQa9^N#B^J#-+fBl(CMNLL0GOj>C4$F2y^cTqUg@+EvvHKrANrMl8{zB
zcBPzmww3wON6EP?+>>+yC)5A=TiEr*E)rHexoem(-gtK%Z%d^OVO)(R+%b5>sI`kn}`2IC~~ndpTo?8BHg
zTWT3NWf23;a+wMzk_ws26sgNiPT1+^&d?dj8dkgrG{Qn<`Q=BDynY$Dr=#pZe<@ma-rw?=aunZOApej^
z1yerW770>IU_!U@lHwj-8OJ}!k@?tkDf<4TwR>BKM=qsWcvb{pp9sV-#l(Np*q@Lm
z|L%hy2Dv=b7bSBiHbNP;S`zZcPLjKhA=g(v#;Q~kW1q8@3api$PX`sECnAemGUrSD
z>%fYNWq?t_!Ph~oEEVl=ec(fYo6<>efx^*Iig!i9Rwpj(IZ1q{d3Ok(+4h6|ROFvC
z@^yCaWay*l4-(z8L!Lee<;?w8sgx$oba7vpibL9>H@@erp(9lX?9(g2V7Whi|D;LI
z%qUPjGTbV?<3dvr66;%JNK|ijO%7RFr1xP?`aTl98;pj}k6RSQk-+LwK@qlX5VPl5
zXQzgSI+&Z7g0d-79AUm+>bv8wvJJDn6K_;m9^LZUy#BEKbJ$|;0EgLS$Sq>fl!Tw4
zGrUsb((_EM*yWOA7kZ_(Mb)L)@CE=O%fk=G_=t0d5`FjqlMMb6v)JuE)lvMSjfz{a
zi$B7RiiwqQ#+}U8Tu=V;lPJu4PWaT=rpmb$lU<)So@Xr?gYS#&t)9O5sQ-Uois&c7
zj~}&vvezLN3WcCW-YtOQLLzAO^U&t<<#MJ?3;lX&_RyyG#s
zjQ^dV+}i_g3Gm`#B>NOuou$XjJy{walG=9(;*7kF1(zfAd&pHq`784jr<}
zqLiHr&3*o*Os5yriDAy6fp3KQ*BcCixMM)Xg3w}!70Cf{dt}s9p3q!9t0t=uDf^=2
z&{#nn&vXn+T~U~AoSO>u=N9_7f&u8>GoVVMnevzxx5+CPU$oH3xWbT^5=ja7+3Zwh
z@C>ajVQgs7ZGbykMNuvJe#zP$w)ca3SQ=yB3D>0>%`b(Bz0K|jtc2fwc=Id!s5wQP
z?$q6fV=Z9Hc>Embh(0&6+Rt4fP%3b)J#J-lAPe-z>*x%hGDtYYLUO8b7-yHUk+0V4
zJmd}gYTgaF-DR5koL(ly_WQq-S!a*`d~vyG8@lMJR>s=GJNEl?5?e6EoigML}O
zPvw1BgUyr3BU^wOs!K*)q0=N*x+Y(AKs@|CXpLO=l5m&cD)g|_My-BJu%ILhax#LsoRdh@0l>~26T`#
z(E4Pr>AhO~+``1^(CdJ~i>5HFtYr0kFR;Qq9Al7x`@xOxI|h;c_8)@Ag89gf^Ryax
z?}smz1@7x&p}S2d%d&i6!Haw1hs4m>O2nO)y_iOkfFoACL!MQWnMWHY`)>_?Wav3k
zIfA-X9P+@!Jk`huxA}VCSv%^9cyuJl-xgr4s<`Vf4m;FD2PNM+z|m?{rw5D!Dskw#
zR0iOG)9m{>l~Ne54kd!hd9n%I%}Jt*Ts&-bFa2J&EP0zP@V58xD-;XQN9xbVAK
z3xImX+1V25K9J@CnnnDjgkiq2Q|pJ+s@%f*A?kK$0)+Z@wFdIp<^aV^;6*XbydjEj
zyf2^0m(1dV;@bG^l(^pp5Dj5H>R;bPbbEdgz7wX@L--9=QLWpUI1!Np97n7U?=f0fXkd!s#UXh7>6lG%Zb;{8N-dRTWc9QBl$Gxtfao-!Zw@3dC
z`<~@nfbE^v8I$(up15!LQ#cR*trl*d@syH88URnyNBKFaj=SEs{
zr&hrBPwIO-jR9r2hs}O!e9X-qP6ns3A75`ibR+H@OB!4TwkxDbFEstS8
zs-vDFff`VrFLL?H{jHurGewA@4;?mJ<;1de8ro9P%m!gb`E$}dcUjr><=qu6CsW4X
za|Zi`Ki&X~wF{dnPuTDlOW{TSDH%;Na*L`4eWwO03%+o~y$UUt1qkNML+AsJ-k
zG8SWKA8se!@zLeXfU~_XD?B!Z`vG9F9Bk}|7-tN6N;%oq2ga*Yu2I0`#`ZpZuQ(45
ztnC-b8Tebs>7@Ht(mEF3UPfs?{+s##5LhBc$bR6M@8{_+yt1z|UyeMN`QFRAi~W}N
z_ll+VAYQHtt|pErn`UP%DY=uZdLx(nwrCpPQQd7Q;JXe~{M&q7@3vueCTP2A7pbA%
z{*>9^H7RWto_!&zybrg-S9FfiV^jFiHf5#q7A%JqcSTAu-l1jyfkfnX;m3#XE~fvi
zZpawUSD)EKh=TaG`mT17(A|fhSxqF$d+1H-NPkTARm*j~62XBEI$~h&nWHN5vbZHZ
zQR-6uU3?ZX{Ia;2+aOdJ85;0_%Mxd4j;|(iw%bK3laHVXXv2GN~`k
zOtZa8IMv6Zqh?}{*wl$FzDv#<6Z{zwVGbUwN0W>?g}b6Qc0B3;I0z#Mtv&WX#&5{U
zAn*|%@j
zv-X~@$&`4KkV>yC2th4YqruosLy2%xO0>m8?vd3Q&uOouXvY2**Fq@(ARn?3lLR{_
zT{&;0@rg}4#JD0xwa6xz_cMpwmfW5A78xqQEX`exPxyZ8WmDcGF(6?V)5*|@xce1V
z9$6h#zF6$^&&8;1m)RWpJInq4vP^J7Ib*%a6uPn
zz6s#&$a>HLxw7
zQYWL&{^pfx{$MZOQI?xeQb~CCk!*9?+N+KAa{1wCO$zvdE2H&EXqatCSr>RD|x;^FGLVpECtme~
zc6Sq=Z{CqxgkbjJ-c$GGw5Qx~V7$ie{2As`R`ASA*d;DcJzr_RSb*G*ne^R|^RdfQ
zi2Vau-^lqy2XBf|jo&N&!tj{sl<0EOR}kvj$8STcq&|H2jI!6vXKX0QLIZoAh3+@)
zonR8TL2nAY&j9i#>T8ND-m7S<%EpD*=WYU2SFNZGHeF)>cxR%LvE!2O0nKQz54H)(
zd}-CM)Es8Aqa|OBwC?HJ=S^oD%x5ilR+KBkjCnB~UQ(HVZ1U_5sYi2Vl)dW{1uE%Y
z?Vn3h<|0mJ?xYN;6ErhFwxv;KN#e~#?|HS*Ni_7_K#tfNGv{xi!NQsx!7_z1MAxFX+EE{$)A~KHMd|6Tly}
zh^62qq3QcahuGc)y}v^?eO^P
zA+Vk4QcVaYN@T8aA)|p)I%`QQ*ZnF!o%<*SVA<$2;20^rvihhnz0Zaw`}Q9Dq6fWU
znOnPdJ*Ry`QHqgZpFHSeA5~d_d{@HDnVy2FXB~i{GdL%(fqFOrnK5IY;|A
z)xA1L(l=Wnq6L_awJyN`S|Si84A)l$W2e}_a^gb05Ieg4N`zcd+-t--o@W%GI#E%7;$iInU<}0~n#})<+m2$=M?st$m+vWax#7u*NRN+
zaIj%8UqK9xP-vtw6QcDt{#LqY79?%vNI)=zCYjYS8#MPUL<&+yM|?+{M~X!4S@pTy
zsyQhY$}CVaO!=Dez*ivNq(IeLxbP#0MXS?yYaM;X`0MRS+Z56Z|D|P<=ZH7O>Mu>1
znw{d?Up3*4mNW`)5!P{UxFMPod5Yh3r4J{rN%7}ri=5Zb+GheCSstA=ITt)(eH2Oo
z9Q1>>b~p?43gC$Ust)?hJ?qKv)`9qfNoBt7KjpY;_3@EFfM0k`4EJQGH0fRVdQROl
z@)ZJgfmdo-fBaEH33cU*u1}2~i0MBFA^}H!D^ifSzR4Q+4X4l{X{
zwhSJNALg`dMJ63^G|Qe3wRX}6_=JO_!lmAq_5fGj*_v5J<9s^W+q@}f8|u{)|J|Oi
zwOxyDt&Bab_v_&3iSo3%Mw;AMdpI`bKfgkze%d@
z;KSh~3TM$qb7ea7RmGW<+z_E!tS(M&%db-RNbd;{q)|^m?hH`F7}0clKtessaznA8
z*ta~h;w>SGd+H&ywmOs**Ir|8>I~O}$7(qgbdn*V0f6IQ=N&S#0eM}r9feDPcGG8A
z>~2q|QFc;jSPuUNN-+k{4jO6%N?HgvE^naZV_N=N33cchMdf(=?BHX}#cuS%RaPy%ytxmv)kYd-OamTf
za5dI1$wnqgTC;B{k>^$>f65`bRn~~`FOeN4#LFXuomIKTSAMv~j|PSYjoQh%Srrh^
z)`RVJENjFLRfXmj?l~0<(Bnq4ShZ?M!wC&qB1u!QpQNKS?36L~U3R4{apStPShAKV
z!eb3G;lFk*%*a6mdEu4%a>|!66UzGxamv%MltKvbd(TUDareaBKN>dU@^!BPg_17s
z0xeCd#+PmHSpy$}@lNtPt+%x}LIvo3l)a=H+}@;jcss>OqxE&4je(#$e)#fBQhRIn
zz>3CMvdil5ZIp|fQTodpHMc-%h?U*|W(XSb5#?m}HYvVfSHTaSinB0icXK^qaO3UW
zqlX+(z}1c|-!Urv8pZBRLY2BDj{~rwqoKHc2e;CFg1eQ%89H2A?UkF21f_P|Ww5-8
zmj>w)4wCU)*H7ac0re8c#OEp3ncUdoi02M-_hbZW#0xS8D8N
zlvE)*G$_T?M{s!VA?!9(2^cC9Yw=Z~`pZ5Vok1w@PC68&t%k;orlG9xg3-h*`=mSB
z@@q8j3jBI7q@9qRVhPgYS=YT3heOdWYSny;^co!AM+4fgXx3GnsZ&B&b>Gcsk?~K%
zEo05W&`BKg(z4_U)8sW@@m~Qu(e{XZSxVv*dShED_rfg;4mNc6Qt}I1TZIMyX!(7$
zEz}p@I&5SX|BI6)Gu7U_=fX!@1c^-vvBed6=Ox>BxdqdA4iCX+5w?0`Z}(5NN`#ri
zA49DQ&W?mQAfuO5*h&JtG2l>S7sD7B3q(^}R|_v0(pi5KkS7|mot3>8~C1);YEBME-faICv=k=DR@;%*=}w
zx^hcgDMr4pBpU1ElS@>bQzR2gh*YL@zrL1I%se85`KgM56?<0UsdP7)oW5`bHxE4d
zev=cF0T6X;J8j7Q)3akZ1wpmvCa?TXGE;wqtueb;r3Bq?V-dRY)AkP;#*}R73D#gr
zVd|CcAj$E!_YNbXnyZ}yg@!)LSXGWfWEmdaTWiXTLO?{(3|E8%N&=7a61cO>IpK-D
z8^sP&k&4-2iarN%Lf<3P=4k%0JJllrfPV?hpAnSNyK*Qij-`v)q-xB$nc_1Mh&kJ$
zpv(Vq(t-Sjm$^6XoIX-W^Y*GR3r$?K)q{5&ckur1E${|OM~v|zK0NSo{I5$r%7O_e
z*EK8$-!-;xvE~RhbqPxV^x)Psdpd;^LVqkqPLZX&u@yfkv(%P#i8era*>^L8hnrxVrY&ty1(
z{kF~mFL^KTd!ICp{L>>47)FVA3V!sbM{%s`#*{bU{U2Q}43pXm#YtrT&2b%ZzSz@|R@^kKo-
z!vtuZc+5o@p?=I2RL4z=_l+vqZc;aEw`G)z7j}B$q_rIQjbiTqtFKu9wl`8qOOQ-T
zb1~+krR;}81>vG8DWZgNPS5pyPjOQp|0?5j+b(G+b1-c?7ORy!Hd+@}Zx0^RsYyuF
zmHA+{>#xYQknzge#!;Jz5#4+I$Lh
z3ng}N=^_9@8TaQph#&`{qm4d3>$1S6Py)+MLc@d3V8L4MAtD5!iN~kJ2M>v3A7D)9
z(pJ-pk=Zdf`SFjDIFFi@FA=)HsOqSr%MW34g>UKq^=7G3f01!1Z2QMIcIntlD|WX7
zQdsjBB5-Bo+S*kawb9SWGzu8~n3i67wssv|s}mLZce_=NUN3BrWjSvRhXH;4dGXA-
zrn>qXJ_xmB|3rg>Wuze_1$*h~lrI2_O5S))iut5I3@Sz{a)$0yxWJ+LcjhHvRoW&g{CTJ>In^vW@5BpC0_`y+qI9cG<8@b-7hkzdKMU-Z|;c7&Hns-|A_nhZqNugChB&E$*aJ-rd^2
zrUT6l@)v#lu8Mqxopsv5CCiV)jZH~+_6R)$VWsg^joVGM>Js}^;EJ-hCx&_Z^C)$55u(I}FV#)ZfD
zANh-}YUO;+Hcbn(3eONvZLG!Jc|2#W0X|Lb2}i}09O}QB19bG1k8apfyUn;dUyJ{-
z;2jvqs1V60cy3Mv^DW0DW^Rwp5AuCOR06~Q5te{4VFaDo2*cRrF;_X12{(6nll37=ea7u;xwDVEIULU&#P)2-t=_qq7kJ&rVI26LY`Gpl
ztm>cjhwl;!hzH!{SImdohU6>14dKrKaxqTsDteIes|xa<%PKA&)>Gq*;_TFT7U0l1
ziL{}!?=l1Tzh(H6mcNy&#io7Rf+a&o{KMJg$vvX$W%rUOuT%kd#+N5DMSssFf>v)K
zoVWy~1-)Z@zd^9mqum-{dnTT|7c)
zvFuL~8Z_{
zBwe7m@mx~7yPq@YGL4hFMbLj&-uCLF^XhQ7PShF3x_I{#`N<(p{6mOvvio2#z+@)x7cXvDK|2faz`+SA-CNFaRBD2=4nS1V$wbKOq
zy9q=x9z1GZrjx&+m(OGAdH7295J2<3@e&BQIWAZlb5r&kbtBX(S`~yyh~e49x`t
zFPTFwEj*kEbN#>V_e4Qaf~rrI;|Dl?fM>$JbJV{Z=7e0+n(;+Oc#2R1X3zV-B96J4
zS(bLR-^i0&spURYaU-<(Q!ULTX4BxDWlVBNHdH(X1o7Xf7`{A^zxH%zNtn(g&f9fV
z=dDt^qEBQPWLBv;3Zb6s|6qD$vU8ia|YUEKU?AGH%4yqoob@$b^`A`!GU*AkqSkAO8LA`LZ=y0
zAEXLe&<_U#HzDm;4%%eVU0}$IE|-&Z2TTn$*H*cS}4ZG;7*)Wzvw5%9nlNA%m~=v
zj>E@EQo&5E_O;4bk;
zH+y|HwnXpYMDWsd(7*MIGE-}JpuT7lD6+<12=vTpSB54U8v4s;iBRAns#)YHn9E^P
zGO1^r5;g$oMBT*Ak%QJ9+4FKukIcsDIrW`}Gpl0gCCplFYE
znHrzGvf;VYd22{t#a@>~XPF{BHDb&7MI-XHEb#A8kHsmg2LTW6xtHSQogJ6Mt*eLQ
zBEG(eY1rRibxPca!XGa7qOuf9Wl|FDbKE!QmCsBo!yPF?Y#TBqHt^wXXt#juP87If
zU0zLMqj!w*jPq5M*gy-$5U52RWB$krz~|v*Tj@X$-d6VJf+W5V#udL`zYpcn>pqxY
zP2XpMgU>ctss7rgYNy58Os2#7PPj`Fkk-HM$je>^g6<$g`QlvsI2J+V@XgGVad#q_
z(l#+hodc>fkR6tb-H!!QiVRo
z)?3AF_b9N1zOIu}*I^QP29DcIOsUh)O;r>r1$YJ#xT)1MV_APE#t3EjHD>$i-=1=
z8=DG57bEY=m*QvhAK}oUP3@IDPr3B)5((4NmygTZLb5!Bc^cjOJqa%cy|wvLP>n0e
zm`JGkHD{Yb`@5))X*{0%w3x!tHg^Y15AJ>9yQjEc?B2*M;6^;_Z=8#}x)THgC1WwZ
zqeeE|yBJhCp(YAOei+NxxU0pZo}iceb~U3#p6k9j1)kE5OQT%1_xkKL6m3n(dTsgw
z>pK({x^6eH^Kyaemie*Bk2X9DgW762xb5eA@z>N=LVjNQugWZz^q2g;2)9$hZa!d+
z1We*)N4Ng@6nf!s*YGBdR+XPTXICfPd@hQPUI}<-o_-DOIQGqThz*OT2w9C2J7Vn_
zL!p!)@z9&o2<4Jb3!j{**N}qP2p@Tn_2Ld=E{e7T+I)??6
zfKm#KWb`<@y+q)GXHBufVU9+sp3uX9HG?`E-Jd)*k~_mX;2Ug^+ne5rjK~kpVoYy0
zBjhs81)dpjab5x|C5^D@GHi4<_6D{2zFWop=@o>$>e4hf7S4rLpt+SvLiS8?3F&!q
z?F?T((M+HEY;fH;db^0vh_YXir+js;WpzTmJbzq
z&`M?AjEm(;KE2)Mo$VgfwoSfj=gfS;nd!i(WQD;kXL%dY-
zd`_S%3XApeaxOj4K|z+lL@4I&t%a{TmMW*#O86M0=@~IT%8dphQAWu-r{s_Z7%QkP
z)o4Gz5aMV`uF5~~%au$c@Ss2(YbEyOqSo+)1crWh3qB#-RGPcbFl<{X-lqx}?Jjtf
za?~>Oo6-8LBF!!JQqec-=DskjvSC5HZ~f^|r4tZ3J&CbY|d?W^=dMt+G4U$G0JY4Fi?bT_L
z;$F{c^faFFKuGkttaBdjG(ED^<=>=5Jlh>8)G->JkF$E%*PDReZ;F7R0)w2E`goNC
zZGbBrzXpFH>PF|V_T;a+k$*{d<`JA4ZSZ!iul#~M1Z_MTzFzBMqiS()!-w(PPb9UX
zs5tKEr|Uxe{KtaU)}36LqOTwK)%Xkqx+uqmIpG`bM1J3c@hgQI@g)9AMH%6w%4&lA
z0nSAIM)-HRn_PkgO#{*vHfy;Pm$##^ZNHv`cbIFcH_!aa+DQ7G#KUKKNTS&B#R^tOF|e{bfLCei$E-zKe~Mc-_vkY6?fo~
z``U^mu>_C8AzHiJZvJiixcP!&?!qbEJUU9zP*{df4=`wh;UiYLA%dkZ-dv2l*7`7vTB(+vHuoKBejM=#i|5w8)*Dz2BwEAi&I7hQCI#CUm_E@bQ5$RAL#fGj+tDe3!)=Ha(t
zUVm0oj%KzbwKQsq4R625k3YJH8g2>F%TeoQn#3|{P*Cl7qpK_V;OP}EM)O)r`+V+l
z^Q!GT3?cS*z3++=5|UHFYWl?%V(M)--xZ}ugcUUY&C^+x$!5KZP?ci}r%LC^k7Sw>
zDTXx6l2NmJ^Q0{MeXQNkmzzKF)E&wnJ|Pnzo|eo$*}MEwoK=3I=l&JLZ>091a^LK%#qPw9Ps&@c^nv4*zUH|`+}N~OEY|b81*vA
z(h7HJF#A#{GSc|(2WWnHI#LAL%J}JPlnP%L#)U+X-7W@Lm4@c?R{gz+fZt
zUU|CYEh{?BSz-GBe)`|{jMH)e_~Yt*#g0tO#(9I&j~Z~x8IEGLQ6ZOw6t(^T{i!JE
zpo;)VQ0r?DWk2ImckTmm<6rLo=dVQBWkkf~G#G`RrxKkPdKAn2|NIL329r!xI(UP{
z%+>odf4%zFKgH7{nr{40@#=}K`gX}zL+Fmr|D-AUfP4!2=cYlOihNxY*5pUhsdW`X
zgYU0<%YYeL$vs_*%=RH%EL)%v#+?ZKKhZO_Bi;z0}}Emx7qi&yCP)rwAMUT9QN*%
z$fML~c76Zf;syE%ekkeou_TeCsVOu_$ES^nrgJ}*`G2&AHJj0_lXZuupek>h*9GXp
zRC)0iuk*$TOFu*svErlE)f@Z60&U{|s$-g4o^`FjV7M>`S~h0TpXCbzbm9*dpMRrJ
z`2W>~bQHasIF9l4F140Mc!4pwj<=_Z*Un=Cyc
z^X^Wo7+OG@hNNm298I0qiCB|W;#Q`l$AGE=XdCFLQ7U+!lXTN+L25;~^q#2B%64O@=R;mqx~pF3
zTF``+=GVK07gSckrW6vfR)?8Wu+VP20O=@brkVc|1+oZv$=Ajuy|NjrvzJ5+l)~`p
zctcl!npwFQ%b6^N9zcyNiVrUyoqGiz4sUeEJU~Cd$O1fIlq`&s(~L`W2!U?P{P@#-i?1&g~Wxl
zzQy(Nj-7pnHeq=!aAPV#bO)aeJxo_V<7Dg~PS&Q)0`X?gzHw${z|ZMirdW&MR*`y3
zOS7>^NQK7
ztoY#iVCk>W@XuBN-l@An-UDvbryssfG$X+KeSRaq7r%tDht8`+L4We$;wnEYu8-9Y
zf~Cb3wLthP3$TH{l;XWo~^?8Lz*
zug_#T7x)+cAn5qf6_|Mll;YxAO;hJAP==Z;8nv_S6U_=mhxmNwtIizeedU06QFh_q
zbeexZZ9l`abur>9uIHcwK_5Q)J&k6EFyLkje;6)W
zcF#V#Rx%@9G6%nE#eVU`D)5m7uT_c|@%`BR)`E=9Bl*idp$^q5KdbR)_yI0kO)ZBt
z+)n33+QN0aV`ps>`aNGG;PxLTMZJ2t#x-54zc0Ss1
zKG=2jq=)E@V%++0sQHcPQZT$*bY2@qy+%SNa95_mNqT$ByVEuYAoi%$?>dX3B)zsK
z`{X{zD?#5-wuqpweT(%Fz9OfICM37AoeUvAK-*dX;Bg)I4tSj$kdDJ=iWYg~czPVr
zL@%a`gOVR(^y$m=`~Mx>z&p+W`tYm{db!n|j*!Fr7Yl9Zk~nuMzmZ!MEe>CyE$wI}
z8p2d4PqoRe_3Bt<$^DhJU)h^1CSO>My4I!i3*3aFu1cgDIIw0^GLWr2kYQHLzyKzT+3=`=vS`pT-S3jS(AkSusGP83--k!0R)TcJy8T5FX<)gKtp*%sEFK+Zv=8%Uf}T3Qu1y~_p&k}#YKe8EZrO-=R`JjCP}v(r
zwB!GbT>07kTL~YY8DF?jti5r$8+V+58l~$4Q%_+8`(=HUACl|1V*u^~7754okE^og
zR_tv9;$Z4!BEWifex3{+=u6o*t~p_}V&26%T^{kFqk`7~mh(@__QfoB6zYm&8KGyM
z<~KkOtt<7k2gS5ha;d6Z?UejGt6!E&qyiKl+M^_`r^?!ydsO!Wjh#NB{GIMAML5NG
z+WaWMqx9;fd&QOhQ~aE+G|p7?DdtaEhv`{9uk;r!1?p!=I#H(Y
zS;~xu^)?wf!XDe-1dGy4x9=X(9Zhd%@r%U+*B{
zxJJwd&;Ql}TuyyA1ZJ_4Xehz2A@PcBE(F@+IBkU$dLG+BlC3;kbOE&J)optrF@ph1
z;uEQA$k<)ZIu4bAkr@H+R&_=0liQ`#BZd5Is5HgPw!EY(xjp=L0sqX4Du|dW+LstC4khEB0r2b
zM#Tmzeph>MP6g>dDtK$M^Qlu9T}t8ot9)EL>pWgkL+0aCi|6yJgVW#QQPWV8?k|cC
zggXCWlKlVHTY$8~#zU!z`SiBI7I3R(hMVMi@D%w7)RoOtu`Q>mY7NDjG2KxNjo#*c
z#46R$;2FBh%93PYx#Y8c!k$~7m4P0Sk1Dih?!SNM5LQGmj*sP!FK`iF)RSy`Jt%5G^c^Aj0dqL*SUz)QTnWJ5P8;DpLX=w3{&y0;S4
zmcu&+#nIcGn_pWW5pJXWjzu1#F04mjUcxKEauz?_a?&GmGTlonGAY;L(wgbC03qoL
zp~8H5&j@X*%4Mh-{ShcqNxC=*gr<;Gp(BY?!O)39I>_4ukora)#t_tFPJZ7#>;YF`g
zs1zsN6<=W4dQ-(>3_3{NDHbdcyYD2y{k0RAwXH{+MIYsP>V9OhWpDLmr8|ubQ|7!K
zn|AL$eX&tVMT7dB;~T|_P?$)`r#b4>nMrozzbWjjF=(QZ<(McUF5{;*XWgj|LH&Gu
zxky`x)mxbqIb8_FQyb>Gp5x`)VmO`XA2XOA(g^%&(hZZIiR$Cyr?oHoAS-rFDKK3$
z*4^q>X}y{H=Q{L^oZYh+q)q!>htAdqQ#7{3v))4fe&Yk2yYa`XDT
zW(k|X!6f{-=~^gVer6()l7D*d(_jDmj8*?QTmDy`2vs4~z}WsFKq;1_=1JU=eKb3t
z9MT%;u3U}nL(6g_ii41s>xuRzNlpPN1M@D*e@&`2IC9vl+q
zw>C2!)qc6z4IB2??T=w2`LY6Ve~!0XE|a!EuOHb;p@()whj+iUW>%oHQd1Rg6Gxn9
zsf;4ACw=Ku)u-`4D9e7WdEfoM;K?*_A`KNk>$t&*bA?0nYvqpTW3Yteg)5xHhuz~9
zM%sA;1&_k9>inrxtS?{K&Hy^^Fd9IM(V%`xUHJvX%~mLqAISs%*6w^7uYG;VD}e|Q
zuILX*e&@g(S$KTg+cS2f2UesSxBC!RL%U@)rM@O99wuMlu2Paz#ceznHXOcu`fcEl
zL!188Hz3WM_b6xy#2NH?BaK{=#uqKa27%(1Q75GfCzQIavwHZ63;jB@GD~sNAwHk4
zEjCA<5~^u4a7DjLo`t{n0jvCc#dYxe>8<6NS0xUL!R@WY0{N;Ybwlqoe+>C7vF~K#
zM<=DaZ$w+AKI;bT(;pV_2iD4ih=qAJ92=*9_?BFe(8C2nI+|T`_|++9Frlqp@3QCrRh2FEC5a
z4OVxwEHl&P6~=r8j$Sgvp>;XPt3M^2Qjs_JPm%9>sL7Ue!S|2(;L=}zY}Z1zR4nzW
zcZ0|?Ic^i`K{Vsf=W^`tq~hU^oxG1UuUH+@lGC$7O#)uS){jK8RCk*oQSXN`_Nh^+
ztjG1wtUHp^HE&RPI~Hc!Ju3Ju^`t%_C&zli<%JPc%Cw(;rTv0A
zFR5)2E)MV>%CEhzH&2s%Vs#XV)j4@1b|eDcX{OgBenF3rTh#d3B;Sf3D9Syhfh;Xr
z9FyJlAhS96V}8TDe430b99_CXD0+>hk^AygM#eOghg(j^_eIof)jm-AX$L^m%Rb(m
zS&+d#zC5;hl$Z3{QoL
z0+XubM~fN752GzigOx~Z>gge-=c~cSsA&Cyc>GZ5k{rdb>fnmcQZ(RSh-z^fTTS!1}&)d$#-dEmo
zUXI+Bl{WLe%O~#I;j}z6v}&Omj1k79;3XSK@46A$&ARHEZ0|X`G;u!PY?J3uckilRjhR--z*TPf0@B$d!ralrFwjFFaJxXCY|0e8tsg>|yUp
zyB>JwMRqDQ=(t>Gin>oS4G9?r3RDsylHCk&<{9sTG&kyICbV#Le-6k|EfwFl;#_eZ
zmGROU%PBFFOB=!h&)hg}+jpcOe^qL=xO&p35DAjlCIwB8O5=ey>~NrwChY!T?f=OA
z2V=xDIV
z62IqfA(i2RlSkY`4hxx)@t!F&h_7YFA;9KTI4R%xNu}wc!anx=+qf@mZHiFQRbODA
zM>^Zh?-Stlo3TN?m^U2W=&5LjxqJ^RIVcj_m+0Gx!s{EBx5BEkd^~{*M2TM_r1m#7
zGqOgU(a!t@CK-meEpAcVJh`-eA{*REeZSmj#*MTuQ9Jfc6|zi&Pt(4@NP08tvU0Z;
zFiTC23hOCD{Z9F=e}ma)GA7x3RNXbLA1o~6Q|P~P10FQ4;hxXe-w!m!^;>!cvYe4u
z>Y}ib&fk$U_Q(ZpACGu
zDMJs6rFUwRw;D_3l)~8+MFC(9H>b{sRgRv+#mpxnG+eRh&INTT0XIP}WmC9D2_FgP=N!kG
zQS!^e0*_3M9kQVczks%ml|Wn0VQngE_Q7|r46G*I#heuYEibAD1Se{R=D(<}CTiAq
z*u-kFVUDbhR@4)p=ZipkH`9@fNGwN(V%vXJF=hligZ7-KULJ`t6yr)E#_i78&q#1(
zgo`QpUFLY5xyU$NpygtbxSyl3Q@LhBPF9|u8geoBNK}nF%s}~%-x`X(A4L7>M_QSE
z$@r%_F(oghxXOe1s|LVJa$C!%Z^6fI_7&p2p*D?=K|hDw81T-mb54t_`ZA6
zOm{O`pjEqep=Hb6j%}|go~zcRI$p;AroH#M^qN2W$b^#!&%c6=BrDlcq4=*a+WM2*s;>
zWe?E0g-%(YRZqgfgXsCjXp=(}x%91;hu|>BrS`!Af7Y7#HKbgWSLAgtcO|{a^O}Jt
z*QGlQwmFVXxq7)QmVx&gKcuRg>90sZlCYNret|6+R+KLo^eRH`IYH#oG%yWnwVjcl
zCjf+!4Cgj4IsWLi9ahFakw4ykic9?j&8I?%+)FC0Rnj0Y(ruX%Xc*l%h?lczwR1Qx
z-}Dft@72bdGRW*7<;Ml@as#ca1Y$?m*aj}f?gY9=Q{DgD+L99~@cZ5;eoYjlDg$2w
zT&VhSA~PxVBjsrupX)!xTje*{!KR>ag&D48cu==gFih^pdB)TQgOLP}4^X!%-uL>D26q`$&5^eU2vCo1R4LEuL$0(ReY0>7W&*QFQx(d@x_euW2e&aTy
z!V_s4jjk6o^K4O6KT&BojVwT;3TeL$=Fh5k6OM|2%%mc*(2cORpM3qMlfNr{En{`q
zFh=xyl+BdRI3;5&#hcJvc-M1_sYSXJ*c{RPUX!l#B{_Fcj+>)=vfvv;`V@nb?1pNR
z4VOAG!20C@--Aff^fwG~c~9?(;IEVCo{h}N-(S_<=F@cOYj8h?dJ$VD>H+qpobxLg
zeoF@E{#an(Z|ekwXIG02f|I@lGDSuk0)uFR3?t=BipWXdeFU3NJ3@{E5IZXAnuKlH
z6t%aTymVZtL9z|fsB5vB)sHhF&<{HVmMR$w7pOThJ%;QHbKdwl(Z{HZgwaFV#xf-*
z)MqfQ0%PwNhUxP|QJUbZLRCD^AG2p67QHR}&!9h*-W&@U%h}ZJ=P9iS;0JD9q&Kn&
z&J?)5vaVz>bw|uvmSykbaO*FmVq+Fk5pP?N)#`-f18r-lxTt$
zg?1Im7~I(Mu>X{y>vr7PgxISLg?7MK+s|OHg5iJPe>E)&GvZkFI{^{ibKKQBrv;f7
z1Y)mOi`+j8FtI%)eD&d{ZQaDD?5W}~STyS3L&tck4X)ej3@g(eOqqO(CYAYc_$kR`
z0D&L7Zr8(&9SWiMUH@a}I8qX9tS2jslKlp8at`|@0)wL)|I~9<#k@AqQv&ZxsD#bD
znpJ_byzJNuk8!(Hh3_ph8Ll@5ZtS2hOv4ewRwJ!Sn!D2e17=VHTDn%Pui{$)0Xark
z5;=o%lVi_ZNx{uL(Z9RzwFwGe$4ghSs^VaY5(g0ku&A4cS@5DzJkb@nw}FrDe0N=^
zt%bPrO5IslgElIF7*XOHoQ0EJ^EV`0_Wd?1MESu$#FKnVua&;0gh923%Pw=Gc@WMI
zZ+nJ+ss{I-)Q{cfDn{RpIGow_|2p?r_LOhDKhOOVRCs=9qlaHQ2iG&70f2Q}n*rQxJrt9NJagnbX=rvrB+B$B19O)p*O~*5Ua3
zX8CI3(%dgQq|qQC}@N{=r8B%nSRS(ZeOumI{BnSsgt1#c|*pAGZZA;Rb_>hBM`)t4mrd
ziIu>?WJ8*_#tR%{f9@X@f8V-aG|@~0t0fm18=TH>XX*RdROI#f{UGl#Z3#9#ac+G5Qq9XmKNpBL_R?`%z1=4ehAzvo%SK-DW1XV*a$
zXe-w=jcO}4N6p)~QNr!q^?$)Phjp8Vaff`ZaPGMo&7lXG1(wXbwnt~}OpC0z8
z+qks&UbF%`u>!GCF%DV-Q6z&+7i$NSLR)GYTaWmP6ZC{RA{T6$6C@F3LeR`HAeICU
znH1>j{CR~Xl_m8EcC8b^vP#Mhy;-X@4+?k|#bjN*(M(wnYT#9%xY-<`d60_}yUp);
zF1TwU1?0qape^8$w%F8u*JKZn%J=_mFFSkUN2ID)qZPg0I%w7iiB?>okd#ut_N-%=
zbY@w4YkPDlpV`<|-JY&7VN7jUOal{DVk>3K)Khw6N#oJ7u`zIF5@;6=4Uv(`jiTaG
zS8}Q=Q&<_YMjC3rM?gvlax*MUI6K}se-&LGB2ihKNG&=xTw_Y|VZk$uefD-PRcxA-
zzrOin3Gb==%^Zr=bb;{f|8z`X8Bi+6rpK!YF;4#!$
zuXU)jIWWN6!g|D-B)^q5A!MEJleMS>+~fowIje!*F$D&)+=IJIwg7U41o2
zXkoYk*vyyLn3z6z329wmhJcY%A%7ZYq;-?om)+l<1%I?WM9;)=P3Rs+E^md;DI#sk
zF~hd$HwAROSkzasxn_~
zVZS&i^_yMK3jc$bINp@DY@Usf^n+N3v-gK>S4fPlhoL`f2~QW9aR&I;`0J#m!L}!o
z+4$M>eUyvu(qlN^h#`!Zc29+FP9NzNT?-s>#l0Z!@$c+yOS2_IqeTX`esdqy^fn^v
z+`g<_Jx^ILp0Mx23~E!KzpNc8^_VUPCCfVUTb8BYyM&nX71D*W!e=oT{xjV?0waoQ*IQD$IeJoIq|Th%RC5$X56(T;b&E#26Z%l2Cp7*
zK8FoUC|OtuvkdriRE|heH~ivJaN~ZU3J-w9GZ1?)EUhlzF1Gu<#hc@f|DER-*;g_*
z*mXHLnVopOU&1;?p;ovmq>u93q1uZvj}b~+PU<5HNo@Umuzx-((e}Zw&W&QuUcIdx
zV31J)5RKSSsPPcLT&C_9W`-Zc70o%M0*9n=PxD+_8I#SGMSGLMP@m{+7JTJ)NrAqX#vBCTiDJP%YNSEY
z_UU$1{kgRDO@{#6fK%iOjZ$fj6tqpOcPM?k_+|_bHt^j-dvPJXD-AB6^p3kiq4$Bl
zKLp7N5t_1RkI4w-lKwO}rffEseG<_o;LE+Y`7(%zfO(lOb}>wppKrGwA2*6+$rt=!
zS$ArA)ht=f>~yM`^n2SS$!M#Z_tAe#MreM66dt@*a_cN|YT?UX%`Q=9e0f#f=~Xoq
zEAfMN?oBzS?JBLRvuxUL`zfdIre#x~GWo-EaL98;jHV;Z!Iqr(wD6S|JTu>FX~xx1
znd6KSOk3P=u6Ie!y1t9Wim1BEoYeL0n~TnDYlna!87eU%CNsDbqZY0e74yU!K?Z*k@I4$6sYAT%7UTXz9h8
z1&YTD=dm4T;rItIOq84-yYY1wmEckqvAGq}IvCpDn>DAN
zGbcsRrQ_|*hyN3h6F$kR1>hQ;R%`kbzo}_tja9R1EX)CKjXb$YR1r^pSK({jFjM^~
z%jO?|g4*;cGY=M6r!2{+)FWP3&O);~?61b7LabsxAsBtDPz7sjasNukjvghUrMSx7
z;G8UbxUYV^qZas?Nw}=+7leiF!iSPzA%!>HtJ+xC4v*r{nx7DE?w%qFg;9~76<3i2
zwCi**vFo-~-rTr+l88jp(2RKt{&xafhAB^3z2K~G_KnrdQ3a_jMbYO0sTT@R6o_=C
zzHh5FojGq2xGzu!Zsk@_nKIq2)ZFrCEi?T^fC^Na^CL`Z=6FCSgL*&zMf@6%F>OI)l79I@AeTFCDI_RAM)SK8Z=fpXD
z7-P{B!Rd36fJQ!*gnm7G1x87W+G|F#h%=Yxhr7Yw_<39_r#jzYj#PD=3^SvLy=Bf7
zahwq)k-%p7n6+Is*P8Y#5Nd_?KaiP6H~ZW6uyh^ix@Mn3PRZ7|J&Nu~OoO_M`lT5}
z%OA}_CsYg(4>(r3u{`Kr&wAfU5?krS1|IyH@S?{*txU<-KH=N%oRHwFY01|;J!B)1
zQHq=M55S?tYuo(EV-WR*)D#s{zmiN7HaJiX%vQ5%FR(5L%u?QtKkoW+7JB%aYCJ+v
zLJRF*{+SnD41oEeYMo~-F-IOFjCwMBWv-m5)gaT606e#DEvZBy1MY9o)a#yb+qNo}
zLtk&#
zwJ$B##^yDMYuH9lcY6sZv+-#$nn^naosw{sc?VOPH|LLE?+7v13w1amHG5plT~lk#
z)ph?79n*Uuf9>YJWpiU6vj)jA%$Y?Fh9K9K_Y9c=w7Mnz$WZkokN|wExF{8FCmCW7
zW-$2|{tjn3i1k*s%1}ruyqkZwRkTneHm~I1IQsm>nVIpfk)P1{{g(k}{pB;WrMF10
z9#JyzXD8ANwC7x;SxR{hmh04xz4?DA7
z&0LJ92bRhyuS_y_kN6{?uvm7;^7;XiC!TGD=`6s9&JWQlbR^=(+{1-4XF!5#_t?JI
z`=Q~TvxmAU%+un_b)M_9aws3<3QJY-hUYBc1%pJ!fFi+akWxKq(VE$IisGyl0<;Jq-E~++;8N0
zE_NlGdrEIgzs^Z62ye#4J-V^x@1`2$lfUIhRpHZW|3Gz0A@ok&KC###1>&U9z#yW?
zrfY4@`*&7Bq@JgJyuA_y1`QP_i+`SYg*az@8h!ZvSafi2aOQ;^G%YJie7U#mP{tM{xAwC58!NVW4j8
zGJn_4(jdA~CoLoSojoUie9d;o56+A_txO1W`YM#?^j0o?F<1pub{;(1pYiVmiu;dc
z@A~0pQtWyMQ)pyEJ_G#3_a!0-+?qvTod0slMk7)fx~g?@!D;r6V?J
zUWfn^Z8cVUzI$LHW5#c$a#)dGqC;{+oVMC@1_n$S`$w7Kf!YM${=_{K2@7ipFY@Ff
zkwmpT-2fu1uEYd*gZW-xQY8?aYKw7?e@@Ewc9odHF4#s6YnP0z7kMz6qBW?}B>$
zN}--pclngxOCPT@%0Af@a`9I*(=O&;u1^vDA0>>{kH&zzNHG!=RU@1TezVQ0Gd+Wj
zV2DqRJD>ZU)PzYh&K`v35P36CX69+x;K71eAC@JXzPAJQFG5si2C8@)`?Vh#jmLgg4GiNa~Fh$?S5bEm%+=S^$PgKWD&_IYc#zDA*84MMs(9p&ih~Mbe##t;k2=XD5vBCUEWxxF!I1T$+
zM5kFwDyb`hzL-g!^af(7Rpe_mlkpN#b=chb;>%;cTYB;p-hv*@GSF9bO1V6f7z;66
zn1)tdOR^K$^oq;$UZpREGi-|u2h;-V1lzVTbwlj!_Gg8|+CAYQR}YS+3Y3`R_8+t@
z2Amm*YuF)YQ)HGHCytiCm%@^*U#(toh4vaKzi<%dHjH{Iij62F{;=JxoY3_9Dkw9O
zRB!jPI}USUBljQx{QR7z8$jofg0=9G@0+u{Z*TywU<>>v@O;iZGZ9Xl_(je?>{==A
zY(0GWmOtI|D=8C~vZHr#`9j7I2eFi^ywy3uoe8zZiS3iJBPvq1&OipVQl(==_K^Mo
zPmio1t2B*bO08+W7p-JB;OCm`#DW4C5tGIA_@Y$Ps%_7jO7W5l<>CzpMx4j|Ory3ZBcc7|`dw%|0qyHz@S{;5N}+B-zB?Y`We!
z_ieMi3G)uy7t(*vQuAv5w7Ih-J8%okeLvfZa%W`(y-`n~}E#o3F!Su-u>oOYBVl}YiETa94%&eQ&
zSprmdpqHhfzpAEeB#!t!Tb)$J)A0&bX@Z+wWjpk;iemlc8Q?r1O_EqYd6;nAo7tSv
z;91w>>pjwJf?J9A3C-)~Xw?ZBI{pk`5-C$Akq^ark8+5$;L)Fa(I@UMs;L(h_@vg=AdMca7ELnE;Gk&Y5^}%=lq4*9Z^CCp8)Qge1h1^K(a*jMImanSasF$(
zj~Wm!TMukgf;+-Y=i@u&rlsz4uDlAf^VmgXjrTzXt$85ed
ziTngx_5hwE_k`cF{%?z%<>!v|NOIvQbZ6umTCmxVhURzIca^r<$@(FDwCYq(YxBq(Vv{y%QKL1msO)cj+k6mI?c<>yoNW-x0))cjk-|G7``}KCf
z%RGuW{1ZDcQ0b(`9c)d&9UsmrBIALKPo>2Ht=$!D`=xB&?>4J_?7f1
zmH%CYV%}vq|0GzFp`Ons2vw=ayDJogeUy51Zw1=zgQRuJE7}ND442{b4@f)f)Di8|
zpb077gAK$BFy}nlvZ-5xLr>D`b-rgRf!ZqGq|Zxd<|XZ&?^;{7NMPLYG}5pC;mAD#
z`bH_BdEjKqUFJLl(c{@Z3hb;FCOFqL3${FFce{|?{+UkA9Q9mn>B*ZT;8q}&j<8+C
zlr%|P4Yb}L+K+@9|7&yp@2tP*J4C!?IxN1-Eq6P_jFCnt!!qr+9P33;As%Ya3uzFs
zA3FS2AA@BmYDxM7-gQ59P$ZC`(nEl2m(m?+r%)i(pm+ZJ&j{vEy~Q18b@5`pCSTGo
z!$lKy3J%w`?}k9-Hs7lRRn1%_t^>{JRVB~rcmuH!dco+C2$ATM2X7oV^QgH876kmN
zmi59ndqPNtm<%d(xT})DIUjkW&V~O~LPxf&I(d{JVNLOrokC>%&C>9Mp7W?08EI>h
zXsIdTY2MQ<8b4rB+dL#TKA4VD%k8Jy)ZndD#;+V(
z;FkB6Izx;JpRk9E)PM2&{~ULjVH4AwRkm;;R-eu3YLp~ZUHctVJ0Z})qurkO$V~E)oY{OA0(PJe
z2Pw-t5qJv8a_?j-RLE}v9_3dy3*&kMIm?0Na@I{s`97)caZUGQ5c^v^$nMoFWbW>b
zvY7-i?$_P?>5my7fYh``IxvPhOi6fH@3ykh=a2*;W3mhLz@)#sBxcdD+DGS(ge|du)8SCCe3sGcZZe1_SZ7FokDgS@idh4Jz
z!>>&kDOO5xC=S7kdvUj7rGiUwDAwW*#T^30U0NK97Yk4<6!)URg9o<|vgvR4-S6G~
z_L+J9$z&#z`#yS|>zrf89k051vc$5G5Yyv0B|ty&tO!Sc(ipCxOS^c+fj5st*DnIK
zitQlo^ST^usT@m?7YtKK!E;&g=0{Np!fOTS_C^n-|BA}HVYa>84vM^_Ffh}GJ9>M1
z%b%3;f}omX3Xutxb)LO@RQmW8#o)93EM6Sbj-O09dqKB!%`b>8PAu*29AO#A8`c?}
zue6mr{OS%!wR3xHS}z`YVhHtEssRBTaBaL2T{C${D%>^3JDr}*E{EJSeKE-ypeRg>
zSF{}HD<4BL-6127LP(Ew&mNtS3-!kv7~7XPq>TaWfCKopi33D4
zAfqWn+~ylV>4Qp(-f{@cu%afQVqX+Mn^2UIXVZu;^szQ=IBD~v`>4eeg}s*@?x+>g
zJHdiNu6h*f_*Y;5xMl5=a8(FhjXJ}>*E7uCmM~UWXjBEZ
zf~y?4aRwUE5}<$Dn$}$H03#FdsS%K~WGk1auNd{^V9O}BjJ!Klz}R2Z0SuBwHQOU(
zE)gDnY>k%7E3h^n2mT<@jsZ#H-n9fI?RzX(iV&ju
z^r@oO=m)EJahTCJ2`%o2vhGQfKi=wZ4+h~;+pF}Vwx_qMS=zghq#MV%EnJh3j9EUL
zhD7+rshMn+mBd?`_{URPLc7Uas06^iF=}~XxlN05r6tfG^x&;QHwXKa7!$Sh1az`pkc59
zW!{kF2fM8Lj?JSuE&G4h-rK2H4t<2}o{5y;{NvX|HQ_(hYkh;QPs$B?U_m-#hm?f(
zU<2z-8HVdOPYY&}KVBPX=lx~yRt2E!n)+C~{d#Bg{i1zT&%)YWx5~JXTrxdKGz>E&Mmgza(wXABDJsKjwKM
zb;?`O3?&C-3={wwM_~>{pV`vVUkThziS|fi@KJ({_lw
zTkhtv%PK4Pu%e6m$1VYpjXXk%Z(GIl$b*e|Aew;%F(j$q&ACgLgQ@tjScfH&&)uD*
z{JthHxKg6wpcUX>>;f#BDIC$^CEGS(gDl^&t^~g+ISnk$p+}@IcK&gdWY*ZYl_J`*
zQ*k`Ll{$YhM+zX*LR*a(?^^KTB2CtyU+(QdrO`{b|I3Yz-GQl$r
z6W<~61pmPvQ2cz4=m-D#C&KgD@k_TvvEr~NYPPeRIr?YOF_zOOI$>tJfcnaCY(wMZ
zX91Lq8sA_2HHu!z5+j)D1HV3<;tzC5uxceH8K;PHv&dZFEipwyJQ-%Z;andPmi-Aw
zSMTl$=?`_UdwFF}8B`F9y{`M$FnSYn@DX|ca-_^KPYE}MB1-`C!S0Zovat`E#(~=p
zqJkfdfD>d8wxaEcW|}sk88lzvZx3_x4PAkMaPtBM8eTP?XsM?tuZEl5I;B-!nB2ze
zZJyDSZ&j%b7Nb2S=>Xy8hF5PcC>6a8QX}E>{_rQ_At7OZ9gQ%R?{8kztqMFFTx8+%X{ns9MMdO={_>h{7hLZAZUbW7
z4o7i-{ttD!1&%+G`VTeQN1Y3K>KrX;Y@JYz1DTs|o}hamej?rpT?`ey;q$%8=Bm)F
zbQmq~5v$uI#vyrEj$~Yc{dGx5w?lPhm!%l2?zG(^MLfAd8g0#!CGQ8nX}Y_Yw{kSE
zXo(z%{jsNzGuLqom`RU?i?-#@sjob@5)V7T{GF7#@=-oLZxQs_IAMp`ky&@|{O2g?
zUNAk*c@?u`MNYEkMur-9wAE<8-iYOFhP=9B1Mfw>c8t>dTt&AvQOly)5qBw)sHy9P_9Hq)qH)Z;ZLmVXL+{I#ZbP65K
zMP~xOq8cj2jmtEYO`X7E5!@Y*JssG=!k*`YAdY
zEFFO8Y!Hx;fhi+Or-)Sd9nWYz5^3Jy
z|Hr(b(#5k!kd5u5zj{7?i;4=Kap9>u>wSjOOlIvrW%!%(_)OcM*!;7gAAU1;%=bR2
z6#2ao4osiy=Bf2dx>?a7h)lH=o145@RDZi`2la@^Z`4%;Gqm_(xP`rXsfqj^;Yq+0
zSIn34t4wuXDePw0KKWL_8l9?JAK`_XGM1?kuz(bwObSwG(H~TFn2zvsWliP98~1
z0f9S(Ic+yUC^&~7S@%Nd>DgG7LA+{MrIbd4JZB#`^vJcsS0HH4$r^EW^>QSrBEgE%
zDqdR!^Y0gylVtyvdb1a+81^1X5AQRB2*(Ho4+YTMp4uWI!9@))T8*IToTGco(J5aR
z%#p@P{O}3JDaOcDFjvRIEl;}2M4xOb?#r9m3V*|}!y`{$Zo4%FYljT>ap89qjQE{L
zfwtYJ@V>nPFkvNkFlSnNkChf0okFOE8A-YiWUtg&@Lu|Jkyow>bg^zI+obO|E`}WL$H^H^dpxb5TCi;@)cpem!dxEH8
zX{|D%0n3X{6z^X$+?IWuF$HGyccoH2r?nj|w-QF>#4)UI6e1n>kn2sWf&>I|TZ~S8
z!lxaqnhXj63e#wl)U84>wn>KwJQj=|h&uPn{9=TBA4;}m72HxKbF4oicAnP+o32AG
z@=)z^677vLA>2ucs;*QeakhAdC)PDznc?9QgaG`Fl1WAZBZ2fcn!UHuby6Cen^R81
z&p&R-iJh3Q2@0%1xnqgjH#t$8x%EcdGAhUtsCo8#k$Brf1`qbP2$%D%#PKJI%)yKT
z=}#sXQVbr_CYwE$XJJt@OUQEL@9B=Prdd#Km{Jec`@!bX+CyPs##OqQ{WCLP>{!lh
zv!K?`CTrwBW)^p5Fb==X-UJu+t1;ee`y|pQSdyvoMfh{dBCRYzBsJ_7OlRaOpL%d)GzC9Dw74CD^0dLaTqiczb{>K
zw=2R?tpmllqAXfTtTv5QTx7t@n~L2ndoQy-g#OpUnSSKv?a6QW+kgJm5Y04&CCHXL
zxD4^iYAbo!-0$>`g*y2MRwVi4^7*Bl;8TpD2v44<@QcHc8K8y*UJUe@1^;k6M8pVd
z)v(M=x@tN?I32eHNHUOrE2}mnH8yA%zr*{DndSgz&4fm)+)?f_u60Z3BOa@ZbbwP
zgb>MIl=w1B7O~LReHU6xEIHi3-KnSNlTSBiB_U>SmqChZ4m~^L1EBADy@czw3YDt@
zEnZ`K7AT}!j8)4{Y@WHXtOST^LK2_!8D$;NaGrga^D^Ik%iExov8HVnML(Q%qe0RT
z)A*W&s@F=eDz)6Y8pWlI5|v7<-k)G5hSrweZoECPDM2#1QN;(k5UWeA8zep*vNYXx
z3F2zF9UZI+%<5--pjaP!uj3&aI=;Ly>+x`GXidN{5pmSK%aUUKy7_gxYk~TA`|Re<
z>JJpfcHvD}haM@1;F=!x-#49(BPL|&Y(@k6BfD!aQKH!x=#czpgazZVQtPNufI@Cr
z6=QGzTlPI19z0==U&!_r6@qZ4WI`xY3_^Kho-x$23IrHZ;1#g0^K?1?5a_b_XC@*z
z&_MaUF&pXnkyC~Iv37NZ(;q%(F3oc(cTFZ@p*N)l#QZ@X&*u8-GcJt7qV_pLPEw56
zY@_p|`U^O!z2BmBW&B~0^7j0U*muK;!98>Ol#^75^DS*kBh;Xq{A<xZCIe;3Q<
zuG3`*h_5-~t`5leI-erQKl9um-|rX+
zIg^hyn@B8$e`^*7Pu8cGuiZJ@`7N9h1bXqRz^&K)NyN=BP7ykDz_wv*el+*?)@2lt
zu65pP5+f+py1PZN#D)z}RTpdWVjp=oX+Qk*0l&gSL-+?V%Ks!`y_w;R1%!nDP9FH8
z(tQ5vb@VcxtDM!-VSA7-!P76v(nfz^x=!7Y@4Kd|Z383SeNdAW`L)1HsAWfhy}2L5
zc!`M|?GyCNH-AhS3RH?+>SE?|=2Ei1y&26qR!8;I#q>k%$Am+x8D;a0Y}smzdqud|
zTDCCEH2AYrHZ4(ubTKZUe;c5&MyIYDt}A@dI+|hOJ;-~>_l`Gcka52zR;D?zmxqPV
zcemt}42CyD$Q;+vxfLXHr#`BZiq$xav!;%WP=#>N#V=z{;5WT+)v3TgkAdjsUhRy+3?fBiLq_*vHb{&iuMr+%NAX;rn(9Yx08{HcUSy8gs#`
z$upszWLThD^py!t%xX8`j4a^@Z^Um#r}+Lt*+_^nu}mBZ%@+w0R~>l-h+-tdi?9T3
zdvRNIj)d|9*IYQnV*P&BLo%k+h*O8DbvI^K8|}s^!Ac|=W3N)}a+P0G2Q5f*(+@#=
zs{ArFW#I5#H{4Cga>8WYj)fwD_2tBHYw_RAdcsHam`9yrf3OqT%mo+AaDnA;ocrRi
zn>qeSd~&XaPWZlLxl7kQ_W|M7*H)Aj?)z|{&E#wND|&m;nW9~>_M<`*
z_PXQrN0+*EG9N87K^z~-_Au;6PrQ{g&Auvyo762Sm~KV_ppB{C1
z2D4qNga7iUO_(T)3qAC6uw72%KAa9z872u(UP>x@pD>xNy4C)os>4^DJjs0p)D1{&
z+IN9duj4j-{E7LK^vePfLg54MB(z9I>Y2R={daTTuOw{PBy}lS8jt$}hLk75#$BSZc(M~IFyn8RyOh?B560;%1C$Puo8EiU1J#s>o)nD!Gu8&BTe153N~j%+?5?ETQ34Kt5SDpy)*m+A%Fk
zp!XVU(FT5OH=a@EJcyP?L;0MkcY2H+iiCKp02S{C$s#kD$eVnKwH
zjr_;-a(NemWQOe#v@BDkl&^)Y%~GXB!5lRd<~sX=>g>(u(X}FAcc0GodD-hH<$=uj
zDpt0mNgc#GLt@$X``V~AQ=
zAt2wx-}(ycm@$!L$m}UCoXs1Z;d^j72Kpz@T{1tIqA#}%5is93E|#fMw)XWN;eV4@
z4-AWHfCd|j=KF_E2;Lr3HLxI@Ez^#%Ao;`KYvCB$eQyPces1BrDw4>vyL*h-=Ct`I
zAR#u+PYh$&{C&O1kyV&k&+=Ke)B>f6WXNb-a5P&d9Nl<5M)=~cRnS{&jz4?ZjHZB+
zks-^N>Efh$N-`JSDLyGcDqi>jwM(^owyM7+#*X>siRu=+L@*jC4z)s1vsA#r8G<{F
zMu!m;7fO2^-lQTMLBV&eOdTStV6AUB>Tt-DZG{IAFOb`pCUMB=rgz}V=9Gy3IZ|Sb
z`Is=t;$NLpv}n+;wbjz(Lx9DVmK`F}qA+5$j*SY_<$SL6L|J^4D8+443#
z2fPIDcy@xxN-M#EY!mzy@eB%DSlTy{jf6bP8Ajt+;UbwA;@2Digyo%^*~v;)G(X&F
zTgJV@>~n6zIhE4M{Hak*xBK14-A%4Zj6e9RUTXIW!6I_rrE5pxNS+fm<8dgU;Ue#w
zx7HW-)sYLAKdaFzA_1ktcO$69c=rLOjZ)o`-qjz(sFk7SD)W3El2^yI*h3UR9#yVW
zkTLQ&sAkNU7Djk2WUYm)Q#DEwSzm}2Mu>gJd^%3v_-RkHvJhPYH7(>=DOs0&-YeS{
zL14eJgSF?6eC{w>XDDb+%0{1pZ4XtWF2q|^nEu~3UBoG*Dd=80nqI@#Ro|@^srJO)
z`wP9$8Uc6HH697rNGRT($~pgZOVe@MH~jPq
zW}_sZV8hg{3;b)Ewol=Xx3xm<(8qYEkY@alx^0j?hxZIT`s@RvTq|>aYfVsJCU-Fs
zUt5oDeAF45lp}@VWW?)8%J$;FY0dw(^ZY&im(KPn1@UX~O`&X0QC~52k{8HwSO2^g
zAL?Go9hcmqN04PL^Yx&QH=2w~uuXcv)IEARC}BBB>J=3E@-(Oh%n*{Xi8$-R`%9A*
zVU8W}j93Wi;8e{bBIgX>PhSN3x~
z92v)(2XkAV`KmQ37Vu>|5Ja@%o;Vv4wkEVEX%GOkjw`25cO>Ik1u5MBgs(n#cn*^Oi{xIn0ZY*;CG)r;Y2-gSRHhIv
zcTM&`P=V-v#s%3_ldL|u$gMtUL8U>fZOk<~
z*!rrZbKXqnw$AJB;D_MqQ^sj0tXKHN*L=!Pn0jb*7lW!$#tW-KVl2;{_ow#fZv9`7
z0t`o{&~9=~z#+{Al`^|%k3xftFHDsecemp>Rkus9yU!To5C>}fNZ0|DmG(wbFZy-j
zrbTrmM;`eD@iPm^OY7|At;x~^I-sIzLiDo~JaRVU4@DsIv^McJ|8TZRSBykXwIQXi
zSV$qB`=3c|#bf?P{`b`Dtlt*4PuQq|85sZ`c!Y~T!7Ma;5GK)+r0d^+e_%}VzaBk9
z&F#647uYXQ@lo?v=dYNj)C^WN(vuZUsk>BQhB+nqX*6d#h5<)~d7?HF5((tiH6-c)
z+`4kj-8s=NHvLO8ohQdGL#hrqI7YNHYJ2h4TJ-MDBuJXDu9?)#{oPNbSG(1CmX101
zYyXb(S64FRc7@gVaJ0=
zigYBp(sR>r@CZY(axC*|SGEHpV&XBg13Ck2xzLV|f7&b%HGEIeg^x8OK@S;xSVZu$
zu8q@ujlRfB?np4mxq5$!#I4Mr5d%kQzriAy4CH)NNfLggC*m+L8^rcB-G)L%Pj57E
zaCYTRBe{DrJSL$O71E(hpF(T0upBAL%gC4&-<>l7;m`ESVWDE4`yf8~)C{i4*ALkC
z7y++>FwS4iUCt~V3rAqyEK3Z}#-c){8jC-?o(_}0gyeWtLBOMUX=Pkg+;%&ey?)QVkqc=
zHT|bSieEN`g3N`?0bul)M>5Q;D2w+-=tI)5*s{+!
z_Ln%<>d=bvwMIo8?V?{8s%o$YKCwZ)?t*IO$Mn{qMWKjbZ#>Jg&5nsT-)(?F!d+XK2AP0W_Am8LMXp4j_VCj`h2{u#oZ
zzNL}-Q4V3&PRTtwA^+s^JoU;yBg6ddxU4Ydgfx+AP1xp1m-g7dMyjKXvG`p2BF=uybdG-2Pt7&PGWQOHs
z9NOydW8+B8Tg7u{0Wxf#}BT%>3a!%W^#kQYq_VOd`SWJD+iZn>4g|3s@$7@-f<^5MQtmd@flE+nJ
zQeZ+&M;Ykb95SCKS8tHx8Mq1T#ui;l)-}5B`&Z9Qcb6<=G^b?3VoFQ?!w9pz+UAIOgL_qC^-jL&pIzw0Sw#ivGqrRo)J1wHS~+W)xf5l+K|D&2j2E7*
zkt-4&p_N31MCPX_?-j=2#0}YL%JQ|JZU@5kOftT)%E1^9U-z>7m_kx+$B8j;bFtZN
z1k$p{>-;xYX|JF#zz>wHBl^*M=GQ=6j*J-9j+!jIZsS>77=7F7wk%r=$Ap=U9D!vn
z7(UoCnt6;%b+)bgr~>5T>ZwlEOYg3Izdd%c*_QhXlA53Vz=0>BKfZ8s#i3Pk2MF*j
z09iL&v4ZHGQ0o%7xdpQV>7Kg06(z_iLE}&!(#J4n7Uap5lEstSeS~0UJvGipj3Bx(
z9Hta5_V%qtRu)=!16Dkz$!ts}Kcj#@yR}%%4R?snOtPd^8;tMwrOsmky
zL$3UV*(icY+w{d)Sw12D3}Gi^M~!Y5350#IHTY@Uz^kXtUwwm1k~$DJ
zC&AB7zkcihE~oKp)yeJr{xd`azOSZdI-zHr$DW-mevHf6c31HHf8@Ff4;WogI<=V@
zY5=~$$K4v3%Ngj$uyDNIs&fMbT-`FtVpF}N0}eLsaNrQEp_UJewq4TsfV!PS0jgV`
zMZ9kg9S_vze6fE&=`nDKrpwakhhAD>{feagp=NrnVCoeK=-anB7)Jo
zPThW^(6nZ!f#jah$(CA@5XkQ0eC-#z=2^Egi&4v9mNi2>C
z(JzDrCHmJbzsW<=0aTI-uLeems)~ZRM#~(^bMwPYthkl7cWOD-mv>K=nom)C-Vc_m
z!&ZD%%8f2hUN}{|alQ=GOOlBIuX4peO$~jY6-?*|e!-n&m|kwb#0gl$6?v(pag$eG
zU64Q#KCcpoSuexHy$mgC5$;waPA_Wfz1z4lXYQD^gETK?y|NvNODg+p-~|44!W)yD
z$E9sLh@5DO8}LQFx97IO<6;I=@dlR5^1*V1b#uM>@iae`58)}^>@KZl7q(-55A~0Z
zZF@uUB?PZh>fNNY3IVK7n6D*R{3V?4cPr~MWk3!p|6v^KDGo45yul2lannDwXqAqt
z{$V|erNC$XtJ%M*M#92B;J<^4)
z#%zUg%C&2=rmX^Bcuu1#`2jA6h
z7&CZh0Jd`dI<`4g(LCDArBOH&DJ!(~$R#)JU#v^<5aLKD?C
zNb1TR%_hV@u+>!%u`i}_RtmN%=LU^9^YxP6m#A$`P5Wmq2R}6w+M+fT+&yP3ILemq
zOm`=6NE(_>=i|!IWzd|suc#tYhfB8xlCFLQ_KPSPMPz%5Y%`ywowQ=-zWH46^MrC(
zn_$`kG;+Z|(c`7^j
zh*=4zxR}OG6TZ@)weZ)r@Wf{Maygt;8F1^oP&X2`Tbk`OCMFKQp1`{ro
z4bRVX03!|5*hHpnUpiI>qMtYVG6o5H=V%-j_4+Eu(YihzH+(IwB|-{M6k~Mvu6oz)
zag)d++sn4mM1PF9qyKZy7WjaqA_ql9N)4q#a9d7usjRz!bKR=o6fdr?cB1O4RPSTZ
z2q+i*n3RLWVamM_C%C#&Xi{;2S;nples$NlF=@3NYBE5WV_!r9dB3RuPplMIb*qT*
z4}6|iUaE0RIby>%;RlSwg?Y>_^x@dS&}0kFJ11
zJUICMjiR8ZfZ;T|2i6xHw<==%^mAKpZQ!n*u0#epT-Q~id$tQk?PFdsv>Ed(HM3w8
zo;+Bjbu{tW*QCk7!g+EGYiI<_F*dxb2cFI2R1K9;5Jx7U(21Pp=6di%+#CO2YzcuF
zUhg7_hMRfw(eBt5y@GLhRA!Saq)^}_r2mxpV7Qb0OopfC#Cd;QOlu&o+#B*)WMIiJ
zF4TY9qJKSA?P5wZScmgf_lFl*#>|fiCn`35gRD_xD|VO%hr^^OpmP%Az|5Mtn`Sg^
z2$$Obfx2!n@a^XUL94{#7E4<$su{Eo0J-B%v*AGNLu~`z-yl0qYWBqSm|a4Z+PLPD
zyFm7mph_U??`E|T;mbZLQY_BVR%Nbo!j$(O=2ftgo&sHD!5im)k>O<+T3-BMjByLo
z1ne}B)GtcQzPtO*f?+x*nSVpTOoA^blM4OQu6H;7c>UmSwuxO_ufIU1TQYFKh>Ix0Ecx3sJH~^p%0RF;|
zAf}s0%*vD|OFwd7hMoYeGEynT?}2df-g3v9c>30qK!1NH~`5&rC8^u|xmyLE=R3
zLR>J`0y)rca4Dq
zy#_&1d_^CnMLH#)p2lIqi`9>|2V7W0r_9aO$`VYK-bDojs
zz>cEidWM27ZqODYhZxOkL-c`b-rdIA-lYZ)Huw4m)vG_UUo!klybz3XRtRmb^Q?Pg
zw)bd7*n9LmV7NNIHXfdIFG?>#i45N&*iK!ajSG-$un7A$%pE69y>NAhF8)DqH|)v=
ze})E5I7gKpvdqen6WCXAn9HRueBQJU+n|~1e*mZ4Q2%!9A9sVVZC_`lpWI>Hx!6XG
zoY_u`WE6Z*1jt2ro*98!*Tb$?u0g!V$e1w_A^hEmv=X?ERhxe^u8G7Fri{$)1J4~)H6>sh`0Zgkyc
z)V13ue;-#{@71a+{6!IUf%w+ssTaVJ2$jdJV-FU3e;M0jA-V%t`?0>pAM
z@4{sJ>0qMH04e<)_$qQP8QaR>@kBnb=MYQ+x7k)%zwjw2QN9HjI)*LI;s6e?*J3Dc
zAHV*A9e{Ow@>gn$KE4v@O!PCaR|Z*S6oPh97D8*rooJ`m$UeYoD@irk)>REWR@eps
z%f8WEPyZLi5bQZm4qH3`)>+Fnb5+F&Zj8d3Ov4|B*Ww1>EiiYt*epW?U5x0tee=7@
z5JB@2ZtYV2`%CHG7LjL}pN?h{{?dI2ck5VRLWH<(;T&-dYu7#!Z-2!~
zysa6T(OA9SK;7JvL3)>EaAYI?IEnhwtjCeSl_J-UxB-UN((CxR6SkB&
zf6AYIX{vD{F+Unz1Fe|*Hega4J8Vrkf1TAGg#at8}`O1QbS
zHLp#(ch0?g_}7~Ei!)2d&?-tJcOt$cdMIk+h80RZK>~u93C)2e_Le9k`>ysSQDLDV
zy+4%P$GMArs>3znCTiJ%%0)Hy&ss&B_wz7DMA~lnHktM2qgT@{ar#!8Pj|r>YT3zx
z*l#u;45*P5=Pi_NL8LD-TJr&W+5kx@NH-2Af=H_!BKtCcSw4pmHItI&kt=Ra8fTm8
z`SDBm3?{?ieSjs;HBZ@$(OrWdJue&0k2f-C+G)6NPN|c+zU3shRa%&C1BxRl+`Y;&
zooHFK!yzHAWykR6MdvSC;2TI~{4kpl`6~Qd@3*v4{6*BL3I%kJ0o_kOZsGxglo28>
zoKr#trYKvvi{IoY006Ra4&93iOPMVQ~c{k%kNNwiGKiYuv5c7<~P*d*@voBJQY5duiP-Om8FAwNn=
z@7^0{wlHgvTdVD!3C<`KD50V!^3v-1)1b=b2t?`H?eXiRjCrGu6zEA-kOBMUpE)=x
z+AqRa#i&f$`T3(H1Hn=p_E-XLKEpemL2l*#$u6}u_+Cfl45Tnp
zx|(PxX%Un_kfBtISE8H~2{n#c*iWwJuDrrtmO}CUPz~(32i~`p`
z9zoLNtGaY_%EBAt#2ePX`1NkI%<1}!p)P0+pBLWHtl*i&JcvS2dwPmJM3_gAv3ylJ
z(*_+!7bl%utG>otBM6Cs4D!w9+fICV*Tq?!WRVyAaOF&y;}&QrV-gp@U=D53QKc^3
z_3JsfW9J-?!m|Ggo)%DhFn*N24JLC~6Rk|L`7floh*PT6~s#FSjJ}JXw!jiPrya1i~`=L+dTSr;o2#q_u<|J4DT!wI}OSHpOyjDJl
zC0_df!ax2oPz;^Iv0LlqSCJ{KQpm)n_1}0y9s9`jMw)X0vd-eYTmI?w2hg(F*XV3X
zFbP^+$r@k2@~xSAmvQLTSuN)77JDC|ZeH|h4BFTxK1Uw28hiwFVSK9eo6}yDsNFCppH?b_gmR-(cWp79bP@`S*U_BgUIo#ZtIs13Q|*D3
zqz{9uhX8Bpm2#)W&><|c4m?8)6*5scZT
zIs^FHFkDuCg|O2C|3Tqa$Khl_BAr*GaW3X34@lw{RN>)ol_twQfU3Xs`1sH3rI{Y>
zJ%WD{Nnc95R%ze6MYhB$=c*)AWlW3}s`+G32^Dqy$H7ecCSZy7I_`4+SThl#<%rx~
z3%re454;pTw-;lT<-DyJiR!#_HgiAJ4#?v4TL?&IWkwASIv#854CV~t@0Q8_m`!ow
zf6h>;gYse&KXk7JS_6MAKVr&!x?f(c59HvDLe%nIKPdZzin6)NQ;+C(9A_HGOP(w2+q4;kklz_q$)yE}
z!UH28(Xc3&gj<8@jJPz6u_uzQ;6u=HNZ)Zmfn+e2(N9ShwhOD7s=QN)HEj%ZjW~p+-)Yb
zsoYT<;7j{G<>tfG`co>om&L_Tmfsi-{G;Cpfs7m^ahpykP_5u=f^k)$&M
zT*#EKXq9*IjSFMOG=+7uLz^6)#U(Gk;vjmHCJ?$%KDq#bGByavei_dJfPN!*nPk>0
zbYVjiO~84DB~r27MB{9gGvbsew;_^BEI2Qhdv_|ax);%BmQ!{zCENhvt>oOjA9ea%
z5H3!Ju3I+ib`YAf3+OqJni2rm!93~IAg;KjRT4JnDU&94xX^ho28wK&Qb?!=1hn;w
z8@HKXh<&;`LvYx~@UVr$BtjM<{RI~N%qi|*mJ=eDYfYxdZS^pF87fDtA%Yp*4xxOU
z$Yp3t-vj8W!z6v|Jy9QpwAxTY^!5r>+9Hw2c1A0Ae&o`5g&L|+QbX6=KD%RtLlnQI
z;U^8iNAwFkNtyS9mwez6YdHf)81+*%TOaz^9)!hgQf?#|%$~ghb=mg5=YQ`SMGW*2
zb6a$CIeBnifnlF`V*$P`$lz~g;>lM)E!%YI|nWkjNzUI(9z4?Nwy9^<5@wWE0ms_yS@B0T^A$7c>cO!?mR~D
zbb|5W;F72_=L3q{meYWb`knsa(#epufgU{jB4?6MuAsN~&J8a<-!QOB@;a44UOjWb
zWoLPhl^P|sv*b8
zk}(L5M6*@3lEZZDp~2VfXL(w2zdpQI$DGw%&UjnE9!C`OSBs%WS#ShF-8=sro9K)E
zQi38lPuZ;M+z#l?!_}vz=!!_$=WKjqiEi~<)0OziWKR(x~U#XfRq`bqd3AzmbmjYv}kyU04`VsTVLsF--e_Vb(ZMV`?uQ
z0;%cwinXw+dEwWPpkJ%w
zaMo_#cDOb>D5USbz(z0`6IuEnD%|_73u+Am{_x_j)-tCWb2i*;D{OhsvV#**BaC;8
z2;b6Oc%y6Zmup!%gzzBK9*QSyCKMX^QNXc9(&@!;Y9k6*>d@+JtZnNXD^9p
z2+Fvk2FNF5y5hLvo_JD%sslM+L0NmnElvw;0~6-9!JTcGb#qpB63UFZ-Vu5KaVjVeo*Amfbj}(K>&B
zhbgrpud#1_wv=ji{Cu)6)@%d<=_W^gU_nhdT+5TA5^o#6K&`0Z2~E3E&0g_N?`Uu(naObY4Bp@R{bUb1d&Q=xhAHjk^aSf~$DFfw9KSg_t)_R4B#99UD*p$RzeoR{
z?AgjS-vrkDMC@=;qTDdO3q|v{KUM`O`W3}k>JXnf1@{}hZ^f^O)%;nD(pUC5a8(Jk
z3K!%tcg2c0wmt|2>O8Tholsnwnm|kJ(P{sa9+Pv1PM5wFcKB@LFgtBaTiDmKH$+=e
z-cV&q>4Lv=u%7taF3F}`tMl&94&Az%i$b`_`DH!h*v9s`ORMzui5*KnQDxE(!)B|n
zo2>ny<(dwg=!3uEzkmg^)YD5cjRQ>&k=JinF~}M~bgD0wu^JfG%h*zeRlD<(;@ZQb90Q820k%86HoD1~Sw|^_tt#bnn8?pV^9Xi%PN&>;+v^n3^(wQw
z@eHNHH6<4M;J-~1?zKVSI*8C2FnpmuCzRpq!VmN`94=Cuz$cME9}isChrkPK&P*ZYnof~8CC^amU!3#sER3ttQ6S7ey($?s&rjI*h$0F8G@n$
za1@fAyy%DAh@Z4N^<+w&g95Fh9Zowz!y>!P&E!Y;oh<{7mC>hN(9OX6D{7JVuA*4i
z7&3}>GE2^9!%glr6Zk^`yBFSp+whAwtzAzXa(9NJyqOD{BhfQX=zx%kPWi=HfJiq;4n_({jUHo+J@fZ_
z@8^Dx<9+x4j_vq-ug?|db)M&!lQj>GZ56f{CL8A8-i6ov5K^M_0oPvGsM&qUg
zDNoRh>)3e-k!1|9{~Ln8e0`jwoV%dHb0FF^iV_xhs(??mROkz#Tf0}be}-n?kQElP
z$$LV5w_f3DkpPag!NRX$)W8$Cfty9FM!x?Db+`Qe(i*aHZ}jU(80sRq#^;WyhM4G!e!MwnFH3$6ct_W3Kpfznw^bW{c9{0)@q&E(C(
zl}=j_9hHfcIyUOkLg15}KOrz>TsXSV1v;S~WoRU!oKE0m*Hn3BQrggd)XlfAD)`u|
z(^IgZ;)!cDQ`(f`$5mM-U2iyB!KA=;7_(68-cD<
zE*lf+r<&<=pkX
zjc|=|Pc=m+*}C4Jbyxm@K1wE__t3998uN@>F`iMI?ykh$nG{y_G6a@c*)pD9L36@m
z=dg&y+@ta(zn*+S_8yjyE`Je@P8a`0LO=S|DXkkn+DEPTSMQtZJzshpxt^?ec`XXE
zAJ+MD!I9FraP|DSv;$%khJ*GH!>@wXljinJIH{hff~G1X{$MWb
z+wn(gRqYOo20}efqOv&7WO}>*D{+|ZrmFvXe(|r_dg`la(&?=g$uzIpA(|q`
zSL?CkYR0(6!jmfDR|-ch-(Ismb-@Qy0KYOjzf<-MJmb}7z~#a*#MEdQWk;-wrZ8iF
z(>2romLL2DwR9L@b|H{1LB~Qhy*T!iY>_gT!6!&*O~5pnHL>s*3LjaOc}IvL>=A#V
zzUzrNQd_=5FRR^HNf6g-|J6-{%~N20Uz
zi^SpLNo5dkaj%BPlld^&?{!`cp7(ZLyDJ=J+CaekSlDZW0F*RGfOA}1H(wiCdL;L_
z2XB7hROaL9pOD93)Mr%}{US_IK#VcHe2n-)P^TYOtEgjJBr_n3Zx
z;3RfxudDoO^ThvVtslAUqv~|_M5AJ&yxsb@uf7q^Z=xMHQyPYxr)#Jfv%#v)<&e$1?jQ2*fIq0u
z!uY;I_kzUo8vkh;uE{x+Qi=z0g@$41yoG<;cCJe@BUo2p{MwnaTB6fUzHAFs5^w$X
z4DCHLUz}Rq2xNv0mc{9s*M%_R+k5@!iM__%T#}42Mw>#mWtK;8P%8%_SG1`v9@%#X
zdNy9WO5E*K0i0N$SVv7Lyi0x&fP#-*2v$WA+2lb@j
zvvmX=W#VZEtKNY%K(1e6_WbHSkIf6B#nM+%r)eThtRB=JZ;)7Afe~1QoU9v4JeUcJ&qy11R-suU=`KrIomroQfXk
zN*409g)r#u9+IT?+KXi(GTc;zmYF792ZsG
zCuuj(_3wL)8lTYv#r%C;$9;7>8|$0<;Si@fI!5hhp4;r%Wu9M?l+P$spoT;IPsjmkhbrH?G@9*|H%=yqAmK|b(DjzA)f
zK9eNi%iQ}0o2HFW8W$!V+)D~!wD8y((mPn~_D_>ZY)5=0hMENDR?i)>v((!w!smp9
z(B9AuTsb2F+FQL|yBPr<}7j860a=Z4_CK6UVs1ZalVmB?ua98Yy6zB?^PXax<{(_NK2
zmG-*X>w@6UCv{yzOL2FQ(NP`<~P9a#icyz~)Z)554FfskgVnyyN`
z{keU;`)fALN315I03y?;w8~b1UB6rhRw9-jdru`Li~=
zOfSuk%Kc{boz0e@`C&+eOTd$eNi&Zzyp4ZYN5Fq2pcR38^Q3o)P_o-Vc7cXuhu}D1
ztvo>&191O1Wt>zR3midVWxz$jIk8W0#ZFN|dywGwy?lX&j(b$+sFg7IB`NvgYO
zjUn4s!Q8`pxj6zNNoD;+aU3<-RQ6V(Z%&vmW~$87zD=v4hS@BOV`h~7sjD&v5{Dv?
zg)={WMB7{X4|SnhjunrwNl2)FPbme+(w4cv=uR5iI|u2$39EEwcs7;(+--RTV>6^<=X|H6)m_<@OwXV8^*krU+)z@Hw(=1uOoAxeu&v;{F4*O{o8_I)oIw3
zeN6QnlY<8l=gxIyU1wrS=^#D^AMv4KDke^pR7okC%I_eCL;U9I(5v-
zQ!8WoaD-wqyA8g?`DrgJcC)DKIk*&)JATuV0T3?7Wr-QYl+@yLNE43~YYr9e%S@!*
z#vkPs*aPS$`9{ERev*+R#89TLZZM#fvbz1D11jMBI;`sPgE
z$_iJ&3)aD6Ijz0Os>d`%E}Iup3kyDvlfV$cE}l0mF0TuohPHGLwn%$H=xzkKlr>hn
z7k@7HxN8=mEy}tPeCGje*`2Vu3itEuO2?dbI>j4
z&4%Vg8DB(e_qJ(oUYf>%*UVNC{!9QvvvzqO{n*gs5=@n9xddCfe3O?is8*l7NLy}e
zPS4&N8z8dkZ=b<=p};IqQD^;bZuLYZc@2Ii#>!iKsD)R7A@c9~vwOats~ncs7j*Hz%#RaeoU`*q%Q0qt5YwGiq#+s~0i
z1`sfFj+<%jWK!rL_+Lz4q}6o(d0zamCrfoWN;cG$kCzaL%6ZWVEcwObiDcuL9B!&>
zb5WrAav>~nCgph{UolC>VS9-cyu6gwMlqlPGwe@irpx%NcmiiIn_Cg!?3M@;MBcq@
zRxDn@+dsIJ+J6pxkL-JE4Yhyvt0RLK*y6LufE~&)`%CG}JMOfO0uUVDB6^cx1G^q}?b{dg)GL-nrozhRG817iDvU^}Dr%`Wp
zz@O1iw6;0)_7$|71=#_`n6t$?EAq=9cKt1)(>lkJt2q6YZ|O7sqU=MM=buMqMkvVY
zRcXak{CthZu}0@PjhPDsYPGwK0iypK&~l;Ayq436rp5k=WE4V_?;Xk#FF7z96F5>u
zLPR?IIcXZ~GAfEV7E>D6esNB7d0M;_f5t3FjP}a$0aB
z(1hXH1aO4W<%?@VOg08+$kxrgxo{RdNVE)<68keub3}nN^#O?Xs1JQ?ijI_Szj#lz
z^Jb@fb8A@KWq63S*P3G}atK=q
zg1jm0;x6K%G7e)7fW=zcd3DMfH{RmvMRCrTpCUq-HWtfDZSC;@at_S!GMKB4GCK-j
z?VPY*du7d24Eb*`55A$O5X}K}Hu1T%JM!Q(J*ZR)yT?*&0Xl?BhEWIysin+ircTpi
z(CY)bf^dRFRjo*YI({*F{AW&%9#4%O%GLst$;!t*i_-&d*Rmm2&x3mldDTrm<5q6n;yQfA37EspeOKD@hFc)Wu^Q$guc^Pl*1x>
zQ+FGlv@_*DS~(u(sWC+T1@lW)Vo3Ms=g*Lhc4
z+T?~Zp#7>)-1`5VI3;$68xs&z8|3gWe~{o+On8k7Kd(8SES#^x(#T%rco)y4+|HR)-pZT(T&;T$gN`lxwD4q}UF!{`s4EV*P2gUGff-
z7*-AY=Q&ok##dl{no*NukccK$h9g$)7jI+0GY*8vm*pX1NXn4S4eC3*i&wO#
zherNlEyI2*abshO2G+3}`dD23_B))li^tk^f6~2Kjd+yu)Xiar1zaz1a_?eqD~?P3
z#eYwnacPv|*C(BZ$DE4^!E4Q5*R><)4*34giDEtW~55b3#Z~Jah
z)$QS|4|LW(ZHT^0O0&qVt`#WbeW@)_%ra)8KE1W993(5BjUdZG_59
zjJb2-EZ|s~qNP~dWg71vbI}xPce~^|hymn!mP_9LXjI7b#5n#F8<&AOrDPHlLXTUfNM^eLXT4lfjB-<`T#W<#;UOFUN!4~Z7O?gYZ+cmvG;Xx*t$r|i*v`@b9>ZPwYH}?937R!
ze;#5*Sg~lvgu!mV{0Q~H-~+vmrA`f-vv1e)ZvvmG$&Yv|kVySbFg-VHbk(V@$z$D_
zqux=lqXvVcBjMh>33JB0%ucwH
zhwIX}aNg&IDj(A)g1w|>YgvS!Do`NUB~^ak_6_knsy98l!ghHWoDv27@1EfQKBL99
zy`G{S#FWn-=4}JCnBb@S&x5j@mQ_gLdBdJIqx=1FxS7O;Yt~6u;m~&{N+frxAMY2SCoJ)0YziK)SnO22u
zsj}twd#fpMCJ=XxkTZ(*CJBj-TJ3zp`aZW<>bisV%0NBJDJ1+YrBE`1s4VA_`*9nh
z>R$K?;YCHFS8@j5#
zY9TZidyf)%N+g4k4RO^A%Y(xC8ev}&D4vSb=)O#9>U^j^C&ZNLFDF#{`SbNA*(Cuc
zJ1N`SiAU5}6354XmJ1`Oq3<|;krs0{6tDTw>Psh_*d7#JJH7^a5(X#iRy=**rC}~O
z8zA2G(~{}%Lc_Bsg~N4pI%%+a0}b+ohfrKy@u9ys^f{=sGXoPA^(lL&A0gO(XH`FE
z5W(ZCP&_cUw1_+C3$%~KAF$83*?I$AJbHTqK%ynv;ZHF;CvE^_B`AMCxh|4U7#e+`
z4gKbwmV;y+`Si^uwa;=DSuky@K$eEXk;MJqNl26$`Ur1j;Md1=|
zJ1>cyxW(j+f#Gv4C*uFy3B3}(uDthn`$nekmCOg%&2$_#34c`4q~xNo&ZFTva($O~
zTT_O>>QTJ?4z12}b9>1asnQQ>z`Qn7rIId$i|H#Ef7yo)?1U97RkQRB6NwA6w;J}V
zF{3tQIs0y;Up{Ij$t{220kG*P<3PkU@rG@fX@{IKS2|v~;20gre4R1dKAom~oOwAcv@6v`v*obgJwGwGOnzV}r(F7$%Tqmue=gFXJ
z5>0yQAt8BbEdesPh^FrLfkS65q3H%phKM$b#6sG6VkRe-fBN9G9KzYv
zA&hokyXkTAJ8EO9f87qj0td@PbM^JST84gqQDXahD;M8Iwot{LYx(Gs&%2V362r{G
zv`Wt6j4*hpz*Wd8x!2Hr%I=?C<*sXoAN%`BJY}W!&5kdX03y3nt_rh(2+7&%YId?3
zY}&6YIza2cv*!}owfQq7`^NaN9$XF;m*FFK_twzRgTo22J9|&Y1UxYIDX1*p8Rlnw
z(qT+I{!sV4vhY)Aw&qN49X$gD9^Y@mRVGpdb0w1lhpbMPz57n5yD-Uab7;Dwj%MUv
zZKq-vg4_Gh(hK)S^;F*%t@wTv_1pMxOZ^G|I%g!}Y_0YNPg_`8h@vXhxgphjjr22EQm
zy|jpx=+~J3byVYTTjEsG@(5o~v|9VDa+@!=>knLVC3)m)TvK&%2bga5XH!!P6DU9^
zc<0x*&1OFh{)HV=6$^oi*XQR7m-4r3Jim54Fs?8yNLLfm`Uiu!*c}ANF3YU~s>4Hb
zcfxD#?50U0-Dl;y?8{=r^Ji|GaXfz$nz@UYPqNR;
z)pi2?;KwUH
zid1d|dQJ{$);N!ht+TK-_!akD&NSmcUacA4KJ@qJg$Rq2+820Ebq&PFaC++#)j%4+
z+gBH_si_}FYNiIP(m6$MW6R0BJ~SyAWY`RX9)_57tPkZ`dvO@Olvn~&4YWIx{)+%ev91@bTYWpMmmA`6ZS!=hHA?=
zIUYKN09}|cK0)8%J*gQ&ZXGtdE113Dk`}rmn;LH;@GFNZhs|0>!@r9nEtu0Ss6bYM
z0w_BK^#!zm?_tEDt0>k6qgLq#U77rKE!`Z>`7&|k7~3qqVGsMunLHGKst7201
z`d^BYhThV+2hGo9g#3E2%Pjr46_zHhoJ8kuySGnKPCsvcwjwWAO^SQp1kg7BF)w}Q
z+6GAKQ$n3{{nmVFBQ_fYesDwISoD+`2vXR&Zxw}xb%wSrb>dq=0EUH9%J;Z^*=Xzp
z$ykEvk^yAcRN7rQ50^J9Q%P1ybyu0GP)v}^q7YdURejd
zB1xxg|3QPA!P@^SDEuKAi1kKdipIRH2S~D-6rm(X`-rre@cJjxLjK#T<99)0b+YNJ
z(_ia$daWT@vjh{u$jS{m&70(Q-8oXrAhQoNSIv#B<2@`r
zvi_}^!9vjD&S?#0T;1-EOKm!SpWD|U`r%_vG0Md@S5g!
zk0V*Lx{c*6lfvyC69-H_=RFp8IvOa7*0H-lv)4#oyzcl^E#(M)u#h^q`>^l6bHq8(
z3}q3~w5<5IWe+!0iIf3x_uZgwt%WE}m3aF#uDA59HKA(G;>Mebs~)e^YfY!xRO-3%
zdr}So-r|9w(>Gu=KrKYw6)l!s;GjGJ7HO`X`jD3iU;Q*l%
zrl(fAZi`elMS4cr8wa-#kZ8iby
zltfKG3fmBhd$;V`sybfxvVlL;z#}vMWt{Mk3s=%ZOhJ2De!DJjA=t@+FDt&D^$mZ>
zw)T-QPwm8Ah~FLi2Cl!#)pf+hg+J4*;g7v>RR{0{4*j36Y1%N)1A4V{`{rg4oI}^D
z>cX+O5$;8eV6>H^E-Gf7Jma#lbfU9A0p2tsxi_}`ZPzV+J}3fOzIrPk#++hXg)EkumMgQA
z9&<%g=GZe92TGq?NwhOMeh8XHNzKTTFns_AHhyw_nM#r{?TfLX0)>NgG3$?1$yIpn_7`x
zLnKmR`*<}LXsmh>k~imC>0YXD@x*e%|!^p1_gA
zq0r>M2Ac!a&xKU&Hbe*iHa*PBukMt^UG3d5P8pe)tf%F^-kvSSv1xaDrXR0xL*&jU_@Wv8JN%GnLzRFDn
zPn$ECfU2sMokLv59m8s*+SmQzEi;Sd9-Y|3(DS5`Zq^WmPa=lfXyyM*!GBDZONaKi
zegL>;IbQx(x=?{4J@J;o|lr*8FluZedYPDb@g81;Xcn98POkoIZhG5F6kHNp0eBP#pjh3*nwEj$Gq(U
zK@XQ<9iJz4gJUarFWvlx#$)##^H%#Oe?04U*|A*UKCEhq;YqGj-x;wF{J!uE+#rLHhcnx%D9)tWtYv0W^Cp)O4WL1@=Mv2MbFLnh>1n3OHL9joAVzHy?@fe1wG05_a3_k~VS_HR
z*^cXv&sK6Je-qLoE(NMgy8$GRX@7F)u*R(N2DAI!!R#fKDDWnglmT=l%JY+auTZMP
zw0?GKtHHQb?L!#vT)kraa9;gi`^&uoGruS<3uH^;O+z-$ffA|p@cQ8+-1c>`iU^*-
zIOAq_w{m3JFaM$B2|Y%d2SvU&32)aAQ_B^c*t&2`38HS~X3M&8fQZ76qX>+(INvPW
z8a-99xB=pxs&Y)-ZYVp=N86xjiT2~Yo4@4MN+BX1;pB!4EQ@!G40Z{9sRE94ERpM?
zMo_p7ICIzp7sXT?le_uaQcOFWBl%{_@2NPp3nT9Wld)KR&?zNFc2mBKkCI1EOouBs
zRpU;{8UUw88zBQJLJe-SVxj;L=*R
z^P0+JBLiI8vi2aXTnP|GS`xw?`dx3dD`jaS-bG@F!#VcP2fQ3O=!qv(t}8D_GQ2yE
zQ0a&EqHmwVTvYSkP((vw2mEO@n=6f}MyeFzP3b70=ultYy5@p^q2SJShq=~cNa3W#
z&jaF@IUebg_Sf~^)OtL>l?A-^aX#-2R=L=$V6Tm!$gaL#(aVx{*lg5U4Yu=A!u{f$
zu{{gNGnZbWzM#*NKVJ%Ubt3L2$6T9svs;bguhRXB)#EuSWpbyV@#GTh1Dq1C=IQ=0
zDa~RD-M#=6*+oBg3Ih~G5BhQbqW}7uvMkC7hXymq$b@|I5?St>pRm`>uPukl`F3fC
zd~!;M$wz`H)F%ZvNl&X(HoNU`O*?xeiyWlnp{TIh%73)wSFG~w8jjdu$sgq$X(ZS?
z@zN4rM0%lVP->uI>1*ee)>z7-LC?Qis~N%mpW2nFyrmO&uFh_5{t~qyWdco08*|
z!Xlc!A}y_%Mr_Nl1A8F%*ahQ?w3*w0gQ`(#`0EHbln}wtTyZkyB&Xo^HAG=`W9hlt
z)-GI8>q1G7`0BG0-u}?vGAO1N-)9p|H>hB=meUOH{UlC0X#78T2x80xs_=LK*d2gb
ztj-7Bi=dkkqo?{v@jo2q#z1OF!qVGoK6|nGgDZ_E@?qnVF8-cgED0wp1?xJH5uAfW
z6E2+Jb|xzVuLByyeq`(_*rp^}gogCBYg}8rFg6#j9{aIYhd>2M*NBksNWL0UHJ>4^
z`Bg_79BWltiMM~@R112#;F*U^Qty%~%no?31CqB6D^btxGdRgbdqMIx$2Nd*M^9<>
zcDjc0;r+s3zqTiKq^!F%&8%i)G>kOSSRjlmS&LETi?BkqYxANWF@FNEo0)a+t9VBW
z4iiT8AzS3$28w)d;O>eg$zof_4^kdopwB{+gtf+6(IClz7#*dzTz-z{bSHuVVxuvX
zz?iGBIfIUnIJ$m}D{TGqw;011kzz^SYp+zm%_vrD&k{v(XK1XEM%NedcAfbq
z-r4FzwePLUu{0BgkZEUKx{Z%fSJ{%}-t3Gmq-RhRUD$Owj4sjv(L@J3Nljn=hOpw@hZiPJ^tMvKi(o(a{MKJKSr2tS(nObBVOUHk85CN$
zI0`$pS{KbuGHah}w|Nj6N0!F8`KR}51w|Y7{D8wcD98_{-m5ngp(Y5DTDs?(eg1U8
zwNSkUl(W9UA{w8DqF{H81M)zBL!Ab!kQoH7Now!56Zu@V9PXBOUzGaZO!9pq3Z16DmK#5!SPl!cZz-tn88|f(YK@a>76~NdG`GMZPwV7Pin$l-pt$E
zu|AnirKgE3U0-EG#jd~@DFTMu^I&c=n39SUvz7k*J(zE=bDcLXuT7o|NZx9DZ(KGn
zpAbv|Fb&|cQk}48Sc+`R`Z8i2iO#NfPA@c>Gb{S$h6%0;ppcR7_``9U8<=l61m4aA
zyQ~{Vk-K|NV0l=b0IEcK2%)SaRi=IDAa=2DF>%+;eBUzZu60c|wb#W{s}iZyIuw3r
z-_n@%t8pq7YN8L{Gq$Jf9-pRgELviiPeQ+u1CopCRq2+~Pn+3%F0p0Nblav}zNAIfHZl6^}9e0gRi56!Hb${u|7`kdlCGrcSqX*o=!|CYJn13?QcI
z=g|_+-j>au+}6H-AAxpwi|bBhA6&kSq2E$xNOS$Y9D
z)cOYo5f!ZKI6{d72N=qqFK|XS=S5C%AxL1>xQ7~FYAya=xGRYs(_CZtk$EU?9PjEU
zEEo^#C?gV@a4cr5m%Y-$b2HAq`=xb!^*;$2Si#8A;aaD+0Oy~=992d%qkJ3*S@b)7
zyl1-+JOZiTF;%Pi(Ht+1p+D2r3eykD5B_W(qNX$nT~T;j%fpxQiaEsjYq6xX?k=BN
z=+kN-*59D9Hq~D!O7?p;CU!oq;E68^Oe|T{s+L)p_rY4`m0IoLXZank0u3de%{JEfzosQK#_95kKQrn@%_I8@PFLC*_0Gjk+{Piy~bIe_gki>
zXClyJT2JGG6P}9B9TiBW<`W(zmAr-Yw#3|(AEyl008X<#3*V_=z8;~gF^QR~9E_1b
zzhKSAcLH=oeLS)v{QfaHkPxc0Qq8vGx!f|>ur0o$3xj0^0&CuD4cvNwSaT;9uw~&i
zZTsTy6wTu#s8`8Ix8aM6@=83u-t2ueoa7Hrb}e?3zAyV|PaSm%7OO3(p|vp^oNuT-
zNI~oH-g^Bd3THI9E8cC%L}`>iM@T^3iAF4
ze90FZuNC%E1EpWO{|A-IzBO|o@(r9+kZ6sk$TGkAu;OKR{lHzD#QFGCo1I3b8QRqc
zQF?RlP1MZfd)&|`>Ou;R45ouP%jaD8FAH(O4GLW_H5*+|XmEkuye^?cBpe5C89w
z`xc18yem_V6(9xZo{~Yk;Zkyc8swljQSAN3fg6>$F_}
zCTkY*0UT*i=$7QR?k;DczmW=tGbv$=Z0&bauF6pyf6W2Ed+!nKL+k(b
zL2;vG2>Uy7E0<%%cBFfxb$vx~#aYV@!-XTtw2T{E(7Ep8*3--h^MSNxYuTwBevZR)
ziem^+%o0=Ua(_mV6A!tz>?Ln+g3+{}z_~GASWWfq>;R@ODL2jk!vzQdv^~JL2z=pD
zaMh{NwftriFSrNo^V=F?J7Bw|a1%TIGa7LxDRhP1g$Suy*{cFz5i03Ux%>
zdDjpEjJzEiP2k(7+5Qqx)ZM4Xt8|R0xiN;dFpM~5DWp*HQqmhJmao$xj^&u=|2V8b
z(o@~vbBdW@^{9}>i&`8`%4St#OfrIegZxg`zw2Er|JIC@Hcb?i8t3kl>mu04ns3yp
zzzFF7KPL$#)*rs5X5x5pYpQlJf6Ak3^f@&-I+5U&ch}4np}yYr?+Rg=#TWkwuv|Oa
z;tnKjkNh)b-N_PgKSp19))7pZ5dwpk+Bvmo?3=Z6$MMkEa*VS1M^R3W8*VFANYc}L
za+6G7PM#Ev^PcsJXBajb?E=hQI%09@J`Un1JG;9=oq3o!T<1{bPhODGPSK1nxslCX
zD=+hDq34t2G1=j&Puwq2#p0A=skdtzU5=cez76Y6P}?gMPJ^mR@c8U?N0Hn%Y^5Bc
zbCVHW{Uj2&ket(+D
z5l51sWuTT@62|wOJ{78_kHgnZA3sYINJPwE1{Ld3gm#ApP33qwOk%8k#Jym*t9x?d
zd*eWH_)*Js=fYzz5olZo*1UWOQeg(^-fmL(bf(H|&*963wxRX7D(chrG+qk(IF?!O
zgQCp)ajX^V&)D8rHp)9m#+!RuBRGIE3QjK2X?}Avu|}HQj{$j~&d%LU$3gl`gxp7g
zu=SFo635au-PV$1zfxI4jl&Oko|=|24c(+<&n7<{ew-Hf3LTY+DfS>`Q`MlmNVRpb
zEEBX`>-OcnhCE^vw^B`*l~3i^RXq`(S`WKQRqnz4K4`_~h5Fop*RS7xE;cPIx%c`O
z$&`s8@l=GlZpnLdv@X>UpKQ*hif#!RI>f$~p>qNti=^NLh9?StTVOAMiC_vG0kuOy
z&WDKf-nok8W%{;!{eoviJ!|iV`L1@~%0vmme!es_MaYRPUD->cm>x-$STi?o{^
z^Sn_426ERwUMmFg2lg0_?#+9o2FVk=Va+rdma4WQJc{@^p`(t9#?|la;&G1EETLrh
zVX$!XVup*#DdJ%S=EW!{J`!Rf6P|}3*N|ie!+8c3)}9;*NEZeT0h+*1tOWP3`p^4A
zx~==Qrk$NB?M~~-UojrV5cu{e=l|?pyEPcrZ>4&bE+75OvcT$b=Y(P2YB8fA*LtF#
z(2p%^^&WQ-z*9HP4|^*Na^4)O_!ZU6$qx$q^;f}qSms68lVcTv_mtc`+FNUTT~ysP
znf*<~vFLX0kHYYd2VxP)$&+)LORY*zz!oW6vGcEq7X<0MR3dBTS;+*Ig$ut)Yycv|
zzgJj3BWB#!$XxHX@#dgEE!FRAz|9qW!_w@No+jF47A*VM2*Yegc#@5>faoeY1JkN*
zJ>JSy3Xp3MCo2#IGqrbIQ?9tKFUqYj!!!2*^y={Q7ql>l7nL&_^k7x#1H1RwJ31oJz~hA9KFT@yEkTGOUbGL3wuph6@w~#;VRx
z-PAnP)$s6vY2qk|H@ChGmwWF^%0axY!LUGT@wL2tnEdow|J%gZ?hMC$J7~09Kn7Qh
z893%3OZw1TGsfnD%E|eGnjV~mJ@2Z|){bZ4o4
z;6Q)FO*9qjSA6B>Y&u4Ia%J_ru%G$c(tKj^r*VpUMI^ddo
zq3D{faqcz%eCWJe3?1n(OD=pWs$labROExs5~C9ir%=w=jAZb)%+d=*T@MpfH!_%r
z{qSNn@vvN|8xxn1EBjBq%e`mA6+u+FQQ=#+Z>2NHpmpo!{c!Pf@i!J5c5bDJW90=;
zIZ)msNRmDsD|^NT?yKuHu8xz$eN_02LcqC&&Dv@&}225#`_D)nO|`!
z(a!9`QSH6-Pv~!+hfa8eqrb|!fk-T@{xm)Suj;)&y)bqk$A>;KOY{{FyT#*A;fVgm
zx*->3;bp~ZC`Lg;VDW>f)+Zp_!Qt-cka|7nk?Qv^#p1v>U}*PkG7KtnuZWx3=ZwW1
zL!hF-vIwG8)EgOzY2}wPzN7mtAN&QnxGFPMc8LfIKTxgmSFN%RrjGuB`RDYE<^q}d
zwHdJa=ZxJyvebVozWi%pCW1)&w)UV%dgjit4C~RM)i=)83(mD$oD8)i@3O7Yu|C>X
zWq6cWKf#2Lij3_AtXeItbCkbBkS+D316waiMLvKb
zdvd>HSdSK16Rr{8Ail(ZL5JUGkTOwEH}r}cQ4flR}RZ4Q$NUvFqu#H8ruY_Q;BYqn7IueU-*v(*#
zcb@rws%;cKzD(rpF$so^DBBtf_E2ywP$)-gtt&&Z?4FzfCHUG|bfswZ-%s2GJSUIg
z(U;pt2tOenz{X`%h^5*3c$`ej^jiN*{giP)%Ka^2$+O-e4(7Zicb_s^rtsf(q9f!Z
z`pY^cJPaUgufFz*~MZBSx0nnD0*YcY|^AY-6Uyc
zY3-M8H-W8v`eJAy(}1>>IBUT6^nzhSKNL>*4Y?qUW3}{z
zLqo(GytEBf+cd7qSi9GLRa5F^dEAn}zmVc_2+a(6-MZFkhbAxWVMr7{Ezq00Yh)IY
z$CJL0rY`JOcbWrfC8T5_++Gy_vNKOzBYYIWBWEX#>f|>rto^8BFaSR%|7!!RRUIK4
zqE_jwPQoJvpR5$>*MU>isIlN}uE?+NPKBWM
zP+#-l;?02k=g)^$*=ibtGfql4Vh)#Vem<-!Tf!UMD*n-=Ysl!{p45b2ua!o0>Dbj5
z*(-DklM2>f8fJ+o9n=!PJGrowc!K15)mVLEwe5K26!BuUU>N^ixb=jPP~mlr{I>1b
zXeWbFz4sr>TYN<=6zgLOMdDb^>KbE%yrczm%>X%Ep_lx75TWiVAdI$vixnd2-O#
zV-P%UT%7(y!+fSY5P$Ey;!$A|&+xk1ndIElM~wP)YTCaFlvtRx1ND18knQ9*^XHb`
zJgmeuR=FAkROl9NCY#eS+U=Dz-af9Rxb{Ro@OmNr%EPaC#7N(=zSlB{>wq_rL#O3d
zA<^bP;Yw9gi?x>WB=3&q=aDbAPX$Tul>Ta?1LoBsc4wwqL22h+LcbYeacu8=k6HpVYq>sB
zEF{%GnlXEmU-Ud6(>8h(*J;{Y95HIvDY9mCbhuVxp5yx}%=gtn`}8=s@n6?WPxln6
zmGFF`sVS}qv5N|^b+|bHURUGzy-O)2qqu(1C54~0_P}!XT0327yh0(@-;Vuf3RGqy
ze+L1jq7NMKE51Rs_a6%d(D+=JoFhF(9b@f-voncZ2SIqv`_`U!2c?&!zrPaBA;=Z!uXX0P&qhFJx}oW
zv3}APX@qW&z1$8LX@fIYsKQ^gf=P?#Kw`>klG8cSjRChLSKjtTW^vCHDT>!eJDF>8
zpF*pk#ys}J-DCr|T}=Gp8gCyMgYoak$hb5(BR8A1W&(r~czxxbJJdgT72u!D$;CBl
z`^*E7@CTUzx#lku%unKx;$e@xPZ|5-$h`59wi6O?t?_O{?D8&DOioy
zySLXc)kM7E3>mXFuu+zMubuHJ7H5Ds{6zWW`!`Oz{(CL#BS33>%x
zYG!|YcwrE_3TIDFx&HeBLh*k%d+WC-+o%ha5RgW?QyS^+PKiMzq@<(-1f;vWq@-IK
zq(Nd(I%H_1yJ5&-fMJ+3?{|IQb*i(f5m&lpj!
zJ1m;G1sBPiwqS@qiPG5r*xCYo31c1{0}0Hh_X+fKbBOF-G~12{3y_r38E`9
z#-A8AK)P4@i&xM;5GyM0@+^#)vi_9|H<5wqrZQ*?^+iY9>zLB91iKl=VZsl*%GhLC
zYEH=o)5Y96nzyLss>?I=P)4!d-kH!7`3z}PpXUfpL($}7ap%^`h{gAVP%J_g3dgcw
zTGi94SDQ*Faa1$yGY)7r-1DmU{1kaa#N}`0U7|sIvYWjPacpaas_7}a0GS!w&l#O}
z=8+m*b9%m6WhAgk&n0QRHq%}X8%W=1|1IwPlv_lGBj2xG0u>A9+7gW%Lv4#sc+#@T
zh39}w?=!4+&YK))`F-~4g?xuBdUc8t(PIovsW;LH&zr(7KfrvRyzycY5znTr
zT6Wzh;S^I@N&iO0@AGT(+}UX+jPgeda)@>zN?+I`g{2ZnHRyjJA{r2F=o5xj4Jc$>
zZ9B9XRo9nq=&-jvJIyxqP^rtFn4=AMF7+{eWcbZ`gfo9NDS43%U~di;3}lf1!e`cU
z4Rq)iqBP%9;N6qW54W^nf6X%1^2D~gCRTpd9eXLgsr%AX0IRECTV)t-rEX3vci~Po
zwhQhRACW!pD`)*)Wzcw5bcJvdSsB9Ui%1Qu0-D>lWVy~axW=*lz5X>jynm9Xu0kI2
zOnN=)E7v3=8Pa|W5RYmiL
z7RNvWAn1UdKU(kP8VrI{Wx#twBk?xg1ic(OSpd_k4*
z9XAkpd^O(M^IpQEy7~zjk^R6CADERAP^cm_A*9D%jn1k6qYIQ$W=xi&Dpi}^GQMtJ
zMM7|5)))F|M@+t8NhVE@Jz*fN6#PapJU*lwB)i^WD!LLI#{r1*VV9$=ezW0mdXuXE
zxkK>qNT)6&V%FEJ_SJk&`a0TgGB-T^w0e?yLM7KTAj%Z;YiFu(0~gsbCHDRG-XN^k
zeU*DMgrwJzKaW`Fxf9Zem#P>}i89{G25Pljf}V*;ccGi3^)mJ5#|k9&?lJ4xwFoBk
z5mblSoeu_TpF{EJwe;TxK3k2R)0K-tfFtxX!F1{sqQsmE0cm09g3t$S<2t7@5z6HG
z*kXQx`l-J&u%a{B@1PpCYV~?zmBy4pi@?}*~@SAvu
z6js-EQLNdTR2W(5sjP^+s`kf7);ttyECdesbv
zYH^tEBpP%jY0WT*mOs=KTf+d8+Rr{gHcGOjuuZQ=$x;XIytoA;IqEP+^@=BCrbNDi
zu%T*GCRmnMb7N!t@a1i
zfSIU2L-OA2&GEh6@`+m+l!T+HPDnQykpHglxNDp5KAB=!mJGb8N{Utp4F&k64v;<
zCr#fO%8!n~n*WV3m$Cf=%Hoeb23H^<3|1-JDsu5
zW{m0xS%jai4N4d)qYEGcN3IqLN^h47)tUrEd9?~SS65X4hVsB7F-<=3Kv$smR*t&W
zk~(zZ_c(OaGNpqUBR+}sRL`uiXJS`jRQ&PpQHyUgvj(5SIRtlpV}vUP3viSq1>n(5
zRj?HjHW5VC{$(7_QbuN+e(T-z-lSpDeoUjEX6=*``pC?cPV&+#7fSFzBv|z*zFJTP
zlEuqhf|lM`sOkNs4>j1J+tW4sDq3R`UHXNRf%WY_1p6-K0Dt1ASGwV#Dr-Ly-)_r`
z`Knkd`6PeOSDJrXUJKUH#+rSWZ#wIXH{0r!vg+n+zy3z{S{B!`i9p3Q&b}L>zQDU8~v!3P#ER^4lzbdAUVCkuxn?*N+b@glVO1?_nwuXXz3NYLC2L
zKTvS>q#ON?^E);7Q%{{Rhq>|gjp0X~@pgg?PMG*DU33}2Y!A+%=JV#S)EOsQL3O$U
zWKnqGRmvDxIo?msT=`RTmw)D7iXI9Y$qRj-`f8VbG`5+l#7r)lm@Wuq=tbYK3oten
zV}(C=2$SQ%NTSSID($mcP*onm{N@HxrVPWk6PfWPw~5XrZVqq9P3(Itu7O|};f!q+
z`-JInQB}xJdhs)XFD+|MK+f<;k1*aqRaPg$JPG$n)7ZEsYXGlURmKF}E1sO0BF`)J
z%8q+$z_mzf-Cnm7LWMMTGI$rnbj+KtDm~3(zn5h04}U!2aAi?n7OD8t)-0J*&@aTn
zeWdEZ7J|;xH!D9RXTNcDw7z4Z_WPEdY4@K92R5MXw$v6^t3=#9A@p32R43NCoUd*F~I5=u>D~99VdTh<3jDF*bUK8Np`XC>{N%u#`*fLjdn`H
z9YdI4SHSGbkV${-D9s*nk>Hxaz_K7=hl+6CcjLdt8}}ooUYP|?7;!~tVs3g`(;iue
zOPj+cnr0|Urv3U{V!%b`l81ZB$zL8)-(aSPwWtviyo!BHP}8=M1r)DBxIbu?;~US&
zm0LTSpd=q-m20}mbWCxl&Qb~G+am2Q!ZOH1dO$CASBpRTK+%klFkUrxySxCK{_
zU$c3ykYz%x`ZqZ)xGr*%=dC7Ke0JY)iip>T?x1W$SsORTS_#uz_VKx#m#y$pTQ^-ub5H9!NVno-_$6kzUULyD4X(XCw
z>y=2UKAgp+-3G&MMx*3hfPP>v1^lI>>Z^@k&f=eL1`#_QoUr`SejDLOR}J(p$juCM
z`$Hs^IYz7=wLdY=V_Wq$>#rv0v779!`oJXUMRh9s;XkMjRL0xq6jV}XMp_an$T#5SwO(?JYxP*=Apwd!*b!
z!<7SiBLKe--kGTfZQs2nSPlZUiUtTEg
z$@Vjof)0#8tP@{4t?HFB3f8@@pOb!-zn0=62k~WLo>>WR1&=jlj!>o)H_t`)rV#4m
z!O!$_Yr)*x6V?<8BBpVE>Ro=HtOK&XjdWv&h^@5K#xH+B2@d_n9){Ov!@m+nkTC;6
zvn7Rz>c4M@G+=PdS!kiYBp9zHurEFw^u%P!#~6J{(%r=O!dspz*e5cn+hOUS(UV0qIERAe&r2~
zDmhSfxF0mLfeAGQSW1s6#*g^BSLMS2mToMHnBE}fy-ZZ6ybhJ~&Wl6(B;w-tT4pKW
z{LYSEy$}S(-VcP&yej?s0WakFu0jq+_>7clq&j8ort$wl-j$AV^okbzf;xhuO+#YG
zT|bk&93S)bBkJm8h+p$VBz@z|$TP7p*uL@SNqI$z{_F$Nw~{p*@}p3@xT%snBr%J~
z8uOdf07KmO4uS)2SLI0Hx`m#r?R;>bHWBpqsQ$tg2qY~9g*Z(^-`&M!^SrnBfU(4#
zo+qrCwoI)inO)&l;aPsamp1v-p`<#^8?OI4<$CHOUCnVNy8?Gex**FP-fEW&qx+S%
zeSLZ4(@Tyoojy`t{blYs=0CP>#7{*?j$R*Q+x+t>||Z3I@bH$b5cEtNHKQ_`i#yNZDP}QA$aA
zDoPxVo^fB&+#jJU-2{86?@?!;43y$?!kvDDnQREEW{b*y%KLwDm)O
z-4Vb_RaIx9{Gc#KWFSVWC&*iL#Gx~95If}_BXx1p@9%1=X3e0#2!}09tZB(~(ySvq
zNJCOQfMG`Zh*v`oPxz0nn~Ge1AVq`5B<3o4n{U|P$UB1wRUt>%tZI}HYjVMtgNPf$
zGMY?=>GEx{Fktb&wG^gok49;WH}0RCrT3Y11^Yd|mco)&L2kv8e`^;n&UZ!dSO`I-
z!3QcCe7L=5r|b#;rv+$jKQzOt!SdIW7^mKSqje<2n{v_t;GhDawk=-}1;>c3b;IsSG1%&a^QvsTr`VGQT2a==iZMLLUI*)FfR&pI
zX8V3xQAT8Z;+6+$9OL~(6E@Z7Q>`#7Bg>+)1vOKorp*I&YmWVeHY(rDt;q%hgVryu
z&v8b2bB#kVx-`l3o+=@!X_9_xZk|uND@kEhDDcki#k|O{5xKQ?bU=8RG|0WMv+zn*
z$g{8`G{f4FYb314EalHTvt)xpOZK@%;2V519ihTR5_o43V!s1{7unCI2W
zjuaS23c`q-@fIHDjK7Czzi&P`r3e(5?RcLc9xnsJ=W8%Bs*V##0~AR07_84H%aT<2
zjme4`BR=Me=}Ymn4Tkd>wa>N7gg=(FoP4Q|ij2!a(+`ZmE7WKU;?vwSmd9N2{(R^(
zL|Tl2OxWYbb<$#`^`=GxzqPS@$?Ze@V4ar##!{u3_JT=w+h}_=;N1i`U6-zI?XJkd
zJ8Csy4a)|xis9X?A3fjvm2YKDHgU^f%Rp81
f=vhv9k$4^7
zZRs@Q+$x0o(vkFOVpvv;?KoAn(TOG)up>b&28%vPt
z_Im%p6ZqEK=BC3$L=}umF2}-;I0amWAO7I37TB4eu(-g=L1ndZH%spj$p(YIXquYM
zN-wL5TF_uOP22^9Em%rg3g7ANwhV%*k2h}TLc0)i5?k2BC80m#^jT+Ez}L)Qzzy!2
z7*2a$38#z89o^yanUt=!$XvN;k@!VuG9fb%ZeponSo)RMAP0R_r*31`qW4w9Bu}8!
z=iF4f^rtBn+)Q9V&f4}T
zb=h>c@R%~EbQFZ=%TltLGWLj=e)%n2sx-lW*XV7X9>V(kk7mu-{pbE%^`#y^rP4f3
z2QW2(?tL}%3uonE()^OKc3#H`L%X(7-neJnUQ~U*64jeUk4^;>C>Bete|mGSlgVeR
zITg!~CkmzY^*_g1KvKYQ5H61VbJy^(%r8zBwbaXOL2G3U6DQ)9u=7qP^-su91lQzE
zr{4Jx%*)ZXHSUoQ?(Mv<4RvV|r<0|+rxQ~<6boO=4${u4^5566Fd3h%n!%j|EHc#v
z(5K+GilbdNdSPa-o|oUgHPV{`Nv)7h?xmzUS(Qh%Vb_#}NUZ=Y1Xacg#-+#j5=wpx4pTY&%e_I{J
zm!|s$FEslVdhLw*ggph)CXq4=G)b|ExyJb#p95Y1V=0MeEaz)vlg`+fq0{%_iq@gg
z`*})i7kT@etT*nqFhf|;L(rL-#lBcy2nW2==S#9j(Cd73wa&)b?8-JPZQzHMPq0*I
z*QC9D)InOV>#lkUL3eCvvzi;rK-#RYs(S0e$#}l~iSxXKATHm@e2Wm!YXUAY_}9>1
z6pdvv6IrmE#072UYn&c0ZYiB*z}T1rYDO!h;MYcB2kPaL{lBDqUy`*U%S8wEF)*6w
z_*gulxG_QWOcU&@dZK9x6Zbi|uq4r!Bqq?~qsP)T;yLD4hlCn#sHeE0OtU=pod5)Z
z2>Cl{2$!xdDBw&nx;U!pM((=!NjA-TyGS!~md_4K9t&-`=5yoec#EK!T!Yn|v$&vE>VFqTyf|;szSgmYUDhs!w-W
zPYqqTG$@>9^bvp+KY^Ada3iyb((kwC(0_Dm6X}AHrBTegJ$mMiqH<1$1ras&%|*eg
zlu7uyU^*Et5q3{ciW)LCf|K3>!{8EyFMpd%Y>6WEPRTKl7i()__?u{Pto9o&v(#};IXc;WgK*+<}DM6
zL38Y_{xwmnlq_VFfn-B>
zTViigb)Y0!jA@fuVQGwdeWRuOPh!7=fk_$qxIlh24(G4GJUg@ykf2z-YD;bo5$1r)
zh=UOsc;OOll7wkN_glMRj~=sf%oZ-u_L&}FIf~l7p4xC3wU*=h>f^U|f0C!xK2Ai=
znE4*kqAP+xF3lVzhTL$t5RcyF=qQXS`qF$Qdi8dGM#B?y0yT`K=@N_=n
zmy9wRJL|3jbdA?>oq!=b-0eCdb!~GQ=@)^o*}S@hSwg>)@rKs^t7<*;fW!v;9tAp!NhoPM3ay2jYxC5-c&LRz$Zx3Dv&Q?9N
zh{zq%gmtUNeFJ(s9zx%7^NlSmb2Rq18GR#-%{o>$DTgcU3(&-@5#flpVuOjZH*&5zU
zMu(VqsvlA6esq*oI^rht`G`bLSZbXYSrDvCOIDXxNnT%>$YFD~sF>Ie-D^~0VwNw<
zxBKbADdXJg6#6?P78i5Byu}n8%+u=%d#(+K2MG`;yTP;4XCD}Ln!ak$@oid}sG%k0
zN+b+oJ3Osg>2Z|Uu3{N)#O6f$9xs;=exkZ7BW7r-mSK=>mN98e(D21IY)eeC@}yYm
zKS!NY<~QyShY(51Z%9wvUs3KhWj&-HdBWZ~H__cr5mbAJ4D^V%I-q%v2wnfU@8GCC
z3>VlGe!I6pKjb*_(N3k>-_wcgSyYSZPx$r+rq5ZF|KI{0H-T-u>)wo5PlL~^L(}yJ
zZ`w^G*e6w%^F95YEAAJ^+EYw->$d>TaE+Nt=dp5*=Im&TFq!aru|uoAr_-95*zB&7
zqA8P4Giqv~8#MhOiV}BNeLv_6zsxn+u^SFBZhFw8KDg$G_z`_75Bp`0@^%u~#vvlx
zv0zBku457G>(wj}l{s?=eSft3ZUAbGbQ?&k4C=A(E+41fI4oPMTVKjL3}fg!Sr<_j
zza&9$wk1%_P}YyRzZX0~L=E7M8Du>~OEIhqVekxt|5eE;SLf&2{6I$XzdN{kY{~Jd
z%^|`EKE}baMPc1S1@grbph-lO-(}PWdrN|kmjT<(!Y1$A@LiIA{WM}HlAn~@o2sai
zl3Dw{l0erzQ?kHbUE2^H?+l3gY;oYKEF8W~Nmt{gozazEF?Du!{W!5SNZh~Qxd7#L
zL_Dp#WbHg{A8{&oy6Z$YYhY4zD-)6FvPRB_m6%5XU7b`7rfY&U=y*yC5Zp!8y%e7juUn&t_oE-J`QKaWkXo;1Zt%_ipQ$
z@;HmASmy2v=Hu7Id|e+4CsNP%rm(fE+~vuWsrI4;%5Km4%hcGq{h!@??Z;lo5pWUfIhfvOf`!`N1I${(i{w#
zD2F9#40jcwiDds@{Q@_&JYUp@!{V)ts*4P923yv#wa
zl9m-2AicZvT8UtJb2&f4;Bm#kK&FE-h{95ZWs@*o7KM`cw3f3Pt)8d(=jvf+3PM*x1x;{jc?$F>!sT?^bJS#T!N;}iov
zSMs@~V(3@o8bV{`EZ;zl^plJ;}L+l0{xt49G9|O9y8;4umZpe=E&L!ter|ir`{2+
zWz0R`oKuNP-Rt%4W1otizuk&csCiqufaiN4#Jc
zP~4Ex)Z&!Sr(qIm=3svvHSbaxpGle#_|RH7;e5(uJpbpcC%=@I-A
zK-noVtUh`&kf{xyM3#)7MLxH(7NwFxlvQc;jJ-QQU(PT!DCHaodhWaEg6Ptf;29cB
zijtHQcTQc=a4@6Klm>51gXe!PF7Mp}Z0bmBYc4lgJYA!T@6vO2O2@!Wvty`;&w
z84{(a7HisEkp{kJHNQc#-`jmP<#=xdhj5%uqq_2vLp0SXA+cp!Q}aiOJm+cgDYIw0
z8g;4XD*M8h*ztXYUlr_AY9c?uxyrc-+bPlMnqho5FWM!lr<`(LaNiG|CIiBl-J$nh
zH%GM5#rm7Osa##WvlhR-=SXeq-se3Es!=Q4Z)u49slK;TXc69-t1r
zdG*rh@>BJxLqU#SFPd{J@Uss8OR&UjbS?MYe!$I3y(&HU^%FrbYLP{XV~Uj**KV(`
znCSarkN$LKInkwP7inv#j$b?X%uMovG#sRuD^CcU4J0M+`M-)9cQS#v41eCBFwVo12x-L3s>2WwaAFb^cKD(_}^NjT_
zrlJonKzI{g$-A{YS>|x@SJYy&0WaPS8T82T!p1Chl5t&W)qyb_+5Ak{$3rjSQKSR2
zd~QecKg_ZqfFoUB*)THvC7PZ(D1@g(7cRt_w&#^O?Lf;Yq3FigJW#B48<+?K7{~{y
zm)f-bTDo~2*2n89a1YSFG2H&A0xI)9
zvL#A<&f@Mk@t8|`ymiIwp0FibCr{F#{qWGHC2#5v{9)WDj6iMC`U-dy_F=Fpd~34%
zt3XgH)u=z?s!9@Z^Bj;G8HHW`v`Evi(J5~e{F9HWw~R^%^zz-@$Jw$Ne;l;p_jh-g
zx#Fj2P+y`oGOpyHdQe32^^hg3fFy=_xU*BB{~sWAqYq*V^;}3gXte
z)iFBGA^YaU<#<5Ft|qNWC6p7c;p7H;o(~FOQx4eyC2&%E-|C}bIFvL<^)YBB#Tn+9
zU*bD;@^}NHbar!wh->-En6`KhVbJBhg5%rl`T77}~WgZA&<#Qw2KTk2{fp1o+S
zC~2vTc+#uJ-#zxRpWiRUxVaHTH$`k3^l6kuG+XtR@jzD%-`h*GIWkOE$y0{
zydB;RYhSudgpD~PDJ{XZCbki-hymlsh8l7ab?9=<+oFn;SyUsc6+GI%HMPPtO$4g?
zQqka4`xDu0>aP0h;cmuZD(a-W2+S$QV#cY!LJqq(;Ge%tS#
z7qTHQPQ=Ad_1FuBoKci%$L}}n-6J~PDP-Nug>djBKx+T5RJGyC)$n91pYq1FUg#7)
zP4Yc}9?i=vJjQXSEE8b-hSga*5n0Z$C~3Bk7k~l!70;T*tA-6(S#`ukQVdZi%J_I&
z~>FaT?GRv;m-vz-oPqJXxpyU3KaYNFNi!R!XJ07RRpCQ!aQjB?WK!96
zB%{+_BJ9;Ljiq~#2yNlSr+9uDk-Gga^WgXI(i^%c^EqZIN%y#`)(7@>JqL!6nr|8!
zQV2%ATI1
z^yP}T^M(g&XsPd%%X<3LubJ8AFU~xRI0lFe)0ba3vvK$WKJ`k|H^{Uf{C5Y+0l%2}n`~tD
z#RI$XaBz0xZY2S<(ie1|#Th9IauaXtm}MYXQ~sgPtg93rST9;5OXZO&_$F-St%PVk
z<;*L7qSAuH2VFRIBU{~3jHhE{RA@Jv*W(ER>a5T}IggVNP}`!K6?EAkeY!##aK2T?
z!OgAf>|Cl4MN{yFl+C`ZA?pV&S2cmy(Fqy
z6qM=vtD@;ET#BFl-IYHU&z`@&yf{5O!<2afdESsncN#^Y$g13WFuh>9$_4`AoNg>x^|3_;Ir<+Z>u6g?aT;^C_(mR-S;E%xKsgxrZ+Y;#UJt~swY5o^
zu*D^5G?fBw|FhKa%Tm2IbD6$g8u1}5L!{JG6gzIpvPHS3c!fX}Q?X%{pn3ZZTF)^p
zbIYo#D$fC-N!z)4*Nusiv}V&XnrZCNlvE0;XAE7~i%YpaXN
z0~NsTsD3*=Rs4sMY%J|3d|%bchZ3m@xvB0bZI7BqDT-Ehe)%KpVGYE+=o&i78DnK01AwMSvo4eCBVUEA`;)&_H@pTdhgD+F
zkM(`eqPE=CMHg@23ORx5)O;KrxQ%OVCyEWlmm>sb967nU)z;G8qpXKAOW3mf!4wd(
zAHDTzIyySva&mIUErF%%y%qOGZms;@eQQM9lCW-3QT%rBRRQ07cK!L#TG#Ihdd*JA
zsPhJx5vXL$E8`s$HCva^5*px`JLLfLz-DmsYSmw*ud5=BQ!hX7h^puJ5-G82
zapFn+`F_2yq-0!IAMz;SXaj@sT+4_==JB*OpC&&48A>u4@mRnE;6_J!77swC><}=J
z`E0tN9W?Xp(wzZ-4S^y{-N3-W4j=5cciU*Q&%TkAFi^NU|K=yrgStCg2+P>pwH?_5
zmx?M#DY$SxjZlIX!y*0TS;Y)tK`G<=s1HzMW-+WW-5w1yK^ByZPh?pw$(Q!w^EP0M
zKR3RA|Nd?MaA9?I^|yZ3Yr|k2LRnntq_Im2T!p9MWkW;5mNPFIA$r2tMc2-*fK?;2
zc=2aw-RBfO^Y_Fu7jF{cWM0P5}U-v#jV8Vl2v
zHQrFXnx$O6le{JenfG`)B8%o-Q@Og#Z@7Arq~w5aua_*==(mil$Fdn
z;YVt`i#8QJwo0jUQ9YqYGlK#Fw77y(#F+Dw&WlTo#GA^7jNr~Pdg0@^EhXFVwRB@$
zI{+-|-p`*H{Ut8Nin!8e+h|UBM=9JawzZO4Y6&edOi4O(-}*s^(*`Eu$%Mn#nYlIL
zH2^IkcByr;aFd~;`ds^soZN>%K)pKr{{Bw;%9!9utN(*r20riRPZdfZr#_AOy@$ZrZO$VcPf&Uf5^G
z-yIZe*?aHnU4u!<-dyN(bb`~fv$LDOF)&i!NN5r97=CV(x^k>&Yi9>tgQ+R@VjD_L
zs)yWV*3v%;s_mq^)0dUG3};^}C@9TW8!IuM+}h*Qitl;ddu8=BI?Y=_>JGY~{D4~I
z8kLFg&B8-3$4&+tZybWG2}^&wLNOz@N;Ia&SzGn$-iPmr_heGm_B@mt)E^&+O@^1m21za?`~AL`Jkuy-jybcg6@gzNs3
zkN01gR01W>2OoMrPdlBM=mYeG9Z4g$H6`!~yZ<=O0XqMp^sT?m%5
zP)KK1+<~@z%vuNzq_e(UL$zy={yt%yT-$0WKP7!DzROn@Ihth=cy@2@S^r>)z_w-L
zRZ4$A+|ll|gBt%YRR-MZfQ_c`Pc*NXc9eG}u<=--b%(#&%ZD_1N$&RxoND8#eE9L|
zH&CvQpWazyh5GXCUf4bpDJ9`?%dLu<`R*Gp(0DG
z+Vy=8zCC-gseRm&_1-#&ey9v{C}ZyD6!z0{k8P-o8ho-n`4TJppD8@e?g+|kIYp&8
z57A2b#`9Zt-GBJ7{XM~5lP*yj;yksquAR0k^)z7s?9#BN3=EYYaDJpyW|{$1YNU-9
zwM?}ceOAs>hEQHTx{yYSQ9r$msUn8MsX7kc+sl0?(_8p@KpRT*aKY=cXf1>-+kxbE
z%lf4R4c{@-p|s4&nP7l;18;S5CUH1<0bA}G_WqDsKzM8{DULe#bK_~m+&(HqQe7*z
z8)Y@BbA}8uJ*42w5Yk&)9p7=)@6HDZrdy=f{HOh{74)KqT6=*jyTScYEziT;hgCOz
zjvxOdMgE9a8(zF+D?n|J&39u7!mGT*$K0uz8Y43}3m92eB>8FAxipOzbeVv1CC$!|
zc*3UG(o!NZ#O^}Q^mmh98om*wF({cJ)O}?_rdN7bFp6Gg5TFV1cbTh;pD|D5=DJz|
z2Yak^%REDwzuIvc3e=gu`5k93W1iBRjU1D?P>R!U#R
zMN6BwW{01tnBOLOk$>(_-r4R~-Ki8a6!W5a>ZHm2k3;Uuim?R~x{1>KH>$omD$4E)
zmqr>vx>Z6N=^Q$gknS8xI;3F$DG>n?X=&*e>F)0ClgReW+{hSt5l*lXJN&2T7^@E>zQN*n(LE1y2rZPFnsrZ9YLkmrBv%bD(g@kU7V^
z+ipZ&Pv|I+`RcXPzV;RE9r%gHZjiCX^8+IX=9sN4UzINjDbk6^Jd#0+BM!xyZ;>aB
zH*B=33JO%1-c_Cwz+bhH@b6#(CE$%=5VeTrDE8c
zYwRk{cPWLhS8Pqz)nyfl7}&6)3}&yHe;BG?7~CPw3KI=G1b0UVZZQhSQZ%uq5^9(1
zR3ukr$|?ys8DwdS0?S^qezhX)6Kp5aZA
z9oEqM+;DO^SZ*r!0tJ=a)7sPRayaC#0^%bnAYiC6r1?{Sd$!l@E7UW*#nz>NwByve
z3o_}@(HW!BT1H~IYwJG6Z^3ocB1Qb_hNR4*93_0pX3k<~YVC
z824wwfpTKE0?vv_vHeqgG|?tB$XMMVV)D(cuz1;WRKPOH>F
zcl{S@y5AL~<_yLb4&^bhdG
z&Y0a|ZG|+r)Q)-7jF65wT}4?+4+;8P5tbaiy**y+w+2oU5|*B`=iDH>*oeQ=L>Ag!`~`EM_@GIK#EOLFL=HiSO>ShR)J!wt2dc^4j~v!g^aI
zy07-nYXkqBqDSeB5u+)&yaD<
z;^!R9t}J&wRCV2pZ8f6~v|LiUZpm@>AiS8I9~4?&A_e+`NQ~3k!KRB=Czo%_VF_8=
z6m9{`cvA0hMh+8|(2O7%^w)Sct>aaBv;GH^ve~ld-fIRkRpb>h#P1Y82A(%PoHXN*
zjW;0bUv;{!nv+|`#%SSWS?esU547O?GjHh>e0HQjgEi`E!*MgX^U1a21;4|hyq+F8
zLbhBqyO#g{Oj#bV2D{}(vJ#|5F4$(QO6_)<&xZ|Qrivuc4t~244dT4nLzV%#ylarJg(ymFk2gkuTq&EAbBKL>5r4dyOj7=kHdD6y=RvrY#gvQF1x=(9#UbelOtwu)
zr4?-4kr-|8(x1}l2!T=`1%12ql)n6-_IzTne(EC`Z!Myu$YS!VY<(^>aYL)KyhKIW
z$fyKO3(xe>#mP$QNLv~CGr321CHahighXzp)DY40a!OmYyBP>-5u{~goV$p$p9zAT
zR>g_g^g73~<@yE(I~{7kH46%F--2Oxmw;j-2LNLcXV8Z&_i@ZsU4Xvj8x**1A
zLT|0l1&dEM_N0&MR9ilk=ahPEa86yZH)rLm&3K)^JV!Z5#6&p6hCvjW30PDYp4||#dfKvc>rW+9IKYu%mgp6DVbl2-vn4toR
zuhs3@ACU*>IUuUVBBA=Gz1XyLZ*&j&OfWQ~kEePXuJ8^o*&#C$A-p%@(jMQ9>39fH
z+^-xc;mL4jd35Ym8j$X$Vs{mtho8w+4A5JDsTZr@>_B+zwnMD&_+wHWJrTIp5II}3UY
z;BAunutkrwB5<(6go(iC`I8;2&&qTvrwwol7k?5{xDb+ppCQ?sz|eoiOHN0dzy<_a
z3bI^g*V0Ma3M*NUXOk4ElhzodUjBVG=~opxthd4zO6g)$4G|#RT*V|L@r7#p0>cH^
zZ`jR^Cjde9Wk>{B0||(Pgv4!wd(zMrbW>GU7EMsl#)AG$M_(-C`SCUYq&&gEpnJ3o
zmK8eXz;A9G0mv1+3IhY<5AOk{M0@~-Dq8&tj$BR0(FzbJqO|HCOI+Ma_cu3jUaQa6
z;u6Ht2@%h`1yLM-WJc9;nsQiO(jlL5HiRv&1;Bb<3zDTP<&q)oODsMqXOKK|JX*jy
z!ZO87nb|B3`l8a7rgKwEN2w)>D~f*q0r^?Fyuo(yefE0I(5c-*f@F#;rhYQUUkA7L
z0?^>C>}av)Y;2J@6nvv~=OG2Rj4Em76S+zOu62pR9L+aoa78jAK)NgUN+ZPF&o)C+
zuZy*c&W6pz>ljLz|2k(hY_wW8@?t3d^dRcKOi@U3O)!aZ$h3WGcp~0%2w53P+L9|D
z_0@6k@pk)-cIL?Kl9$g#kRbP@d-gQ8li_u{x*H{~&dJ1k%Rx|oj5-OL<&)qY+stmJ
zC&wrl5wu_rBPsk*Qb}|v6UGl%;#M#OvP#4B%Di?t!nKR1q<6-!`*-mK{N5xF`?=iT
z5D5M%h()3OLUm_%_qVTKTLHtR&xH8fr0pZLtgHoS1)3R2;_fNhRMB8wKve>da=d>c#l%Xw%uBgW
z-MRhCGH(0c3TzLGHdrF6x!~Hi)d_pHu3k2ZjEk@OLWC;EbFn+6Hft7vG
zS?>$>vbXZ`v}{AVCoTZ$`-PP2BY-~=kduFIGhzDv8%P4B!n;X{h~ggH)YQH$)OL1u
zN)9x#YZYmgK+CX(oe1t;BEFPH{dLoTr9dSbo@ctjygh?x>AB{YfBghynw647hhi@}
zNOnZPW4}K(-V}V-nEl4j;^5;XXsTQD(~$0t?iBpciM@^#_WfIL{BoCv9d!=PKYI`y
zJ(aH-bal9Z%;~nLfgpCXij2_S-o7(ikv*`FIX!}b{o&!&G2kqc`0Vw%KS(P>NiPN>MLhU}Kx_jAkMX{t%3vD$-7{Hb@|N3}yqNO+yVgO%Db)^CrQC$QhSC
zqgUM4x75GyDfRrHXqM*ms+FwpGsdPBG(-3-B0a#!<#}E$12c0I%h&39g+>^NYc>^^
zw!x$KXUsXm|7EI+p6lU^2-}LORKo6?i~-%zG|^+$AH0;}m`RpfqJVt`-XJz92}2;3
zD?B{h7kb(QK){1VW&@=>@5cep3hw^07QxX>%QB!VNypEh0A#siE&l$%m@cfP>a%YK
z2msb&4xrfw%S|Z<2UzL33wC_pVq@oOonNTuD!y_?Dti6(`KaXgEY+$FH}JBs_nM4H
zdP1df`}&5pE3{oJ3cM%40#)yU@lstu5ycDFkF>nVDWf;6_D7+|INf{HS*gP^C3);C
zK2s_>q$sudEE?*jv4MG4dp#E#bEVWbBEK<$+oM&|H_{kYJiqXg@h(%(#3QJW{iqk+
zGG1!_?K<@VOiA3u7^dKlnN)JhutXZcrd8G=^S$s2?$>f@UUX2-xvS?W5Q)!y
z4V@~zdB~NK-s?vBP^Xef2YV2fldbRn>U;e|-DFqD5Y(F>T!2!yd|2`I-0|qG;^lUq
z_O;3%tKl$Ef?j#Mo=M#HpI6satY<0Vk?LdwwYM)yoxm22CApFkT5O7IghVt=p|+aO
zXa*2MauzU07<=ZxcZW<43wkHf+H{S)CanR0HLBZ6hMM&~jy_wk9kk@e6T6`W9OFwa
zu8Pt4U6LL^Tcd!g&@&%jhS+dmWFD9Ey7Ym&FfggEXrPu(Dzw~cgu2>s<*2#@(3;o4
z;5g|0)mDn*8SwQ!@Q2=7A~;vo(T8TD!z7juM)4jW?#<
zmFmQ3(rSUqG;&M#srri(iU`RM?%+MLiMM7hj6zkP*f(PS`3q+WCnrviWiLjj%ug=B
zsKo;9vb3K4T$OZXKphv;@UXEr0rQ%rk}gJ1y#YjhM|^!K!<|zAQX#@FH^6Py`9!N&
zM>W6t>xm+PxTFTH640zmocZ2Kb9>!Ukow(7!;RKuL`~x^Xr{n#9o6a5XLeyU$zE6bHC_62cpkCBf@9TI;TtY
zb<0fmo5oqmE~APrk>Jdxpt~*Tff(R@FEgwf{Vx*rX7%E{z|tVbnO?vTJYq
z%69J*wg-k*ESt+^;j1#2-?z7#8D$`6X9kq*`-#ITzDv*b-bdA0C0xY4`f12rm}IXw{Ka_L;gSr!A>$Z9kH8
z=YdwE|LVW>veP|!Pb91;C*n}*c=DoWjx`eVx}2nRJZgRH5>(49uXV%F7GAm*#?j;CdH
zq)ZFVM%d*^FVD_s&5fT<$?zPASs8}q;~&VNT~y=G*VP^6H)pO-HCaR^4%6E*i&Xz_
zRsE08J8@;<&vhAby_X;PO(K*=iT4&1csZ~-ru(ka6ku~3ShCkNomj;HV9vCir!8e8
zG|rX3e0{e5smn-V&#}590+o=1#hLIa^!Fa+71Cv5G9TypAk|ZVYBY4;hWS@f>7>bG
zQSl`;@bj+Qk7+u-C9G}lo{YGZTY5EHK8&%#&+W#5pATm=ok#wfw6%fAa<_W#M=2Vc
zNs(Y1GLlEsk}h@M6an(l0a;G0=o6^Q3(Gn68);&xA3`}VK-BO6C
zfG*Obl#B>-Wc6izK~-vlRaa-@*EJPNHefm&4j?@4v-eLap_opm#`qd|VF
zydSLF_ovi2ivqmIQ$Bd7W?|z|0{J>8$GfJnf_}TVEuI6K;+i9Zj1@sC^B4Jzn{YqQ
z*Rm1Ajx-=3jA+0OuC1*hm|I$YOG`7_0)L9sT=*dK#Gm0oC=ADof??N@
zG;w^gL%Xy^W3HLA4A?$L*D8#592w(20MYds|0kbakEvyUACR*p@jIre*#X5M(VCMA
zv!MiFH18&rlV>K}V)`WjYF;mqeR)^e?A@3vp|OMnvuq#XXwQ=}onaODg@Vf#e5k%!
zqrWz*f?CSk`WA17Z9X4M$wxe!Jq@fDT@X#N8UQHVKa7(o5%`md5vY@NY;}EKi?qe`
zH!dpmD8e+e6>pWPOpJz}vtJu(qqeA=>R$nhzh@vm#
zwYQaVP&O2*znq{hi5}a5V0yuDoz4gDDhDGmS5rT
zV{e)&J6<>Io0#)&A`L(uK0JF4Z`_v?pGv-S?nc--JqbCU842C+-!-nWW%x;?BkR#~
zsj16VL?2Z8g^uS&@-S{XQY!Jv+E2C-Juvg`u$ylxx-a|vXcoln66?Q(W_{_Co0j|@
zyR&0mw*JB}INFPn51wfp#`_BsyD@L)G-4m<$0N$7Hg;lC{DB&K92l%#3RWa0Jt5F|
z@7qknVs|T9;unUD3qdZSX>ls{3No=2op}<5tTz0IfWZ7^>*kNM^T5*#wFafKppBHN
zZYTS&txj1c^SJ*#|HmVU(XX&QoXX`{5xRe-EECOZgUQjd;f4I|6RD>iL$EBdD2a|t
zoe#ob*CJ)6`-?=lC^k99Q&a-oc<~(w)gl)j`DMKmbdbGwZ0@osqm!*P+Ll~8H0dlB
zv}`?&XY+d^8Vlzar`P7CQ4Pm`kF`($0-o=&v$Hx5b$^I+bYd|a>WWS(exl4)A}9Y2
z@B)diz)hIHKEcEdY3^8^l6lusm%{bo9ZeY*sU%S~#DkHQ;0S^wW{6Bv7K#T6xlLIe
z+r>95bF!2D=3#G@&IYet9K#-U{0zX@A3UEJH#_0s*m@@^{HxJOetOODw)LOxSkCQn
zD2T2J9<_`}4haqaQD%Vz&mFfdr;-f!Xoh9JSe+)JrN{Up`>6m|HZ}dEp1&>TxHUcp
zG`%M!asG?*7fUi?R*`oUh6|T|AEB%CY0pMDJ*9&u$rWpmAxIqRuzmLXQ}VkOeqZNH
zaA$DXcjfKB*|=ow*B`Ni_xH;j$EKb`X62mCb2q@qLwcphZOI0N0d3?X(MX#!$w1;@
z+o(Myb`#ctd*bV-#B5CD9(OMr&&hdoaid3qS2?TTY+R#v?{91g1VrrQiN_EN3zW3Z
zo-BR>{f`R}UYH;uPOC#ippGzR|JIQ;xlI=@zaV01&}^Ol_FuuMUrSAyV8qU+zAkDe|$x{o-CDJM0)}~h#wLAkP3ZeJwkl5`kwSU
z%KJgHLE?VKv?t{&(9Yf6xXEj&6uR>F&3eADl(!xt|29D5W%4yW
z`#>rUZrykc0PPY5qVaNgEE_1i4a8efv$fg4oNXdYHp*P~`#`aC#r5(yU~DBd5@3=nvd>OSUqJ%h$CJ)%lqXW(A`l1f}4*jn;f%0evm?_HqYQKjG4(YF6xD3)rOOX7I?7uj?
zK+|I|Cyylm1eD=*YqLAhg7M`-pl7i)#~{ZT4AhQk?iTKqO#W3
zz<275rG^tv=6S=+jYVZ
zul@0cK>UvipsP25>`k;HNNVbn>kBweej@vnthdzgWt43-+Ir^S$GA&nZle0$_d+`N
zpw!{vksZjr#m)qcJG_LiTg2ZU`EwG&9c1cNxAH^S-~rY|r7HpL20jqF?JeU}g}or!
z{`*8}fXL|R2y-5ci+l`7ktNzrM%7RHV+D)_MOm|tc}Q&xwJvTzE$s;$;@vU|Khv8-
z^)6TEJTlf~W=agQ#JT~i`V03p_hcDj??qOvn?#G9;%eYbbsfj6)qsxlk8Mc2j?6|h
z|7{(Q8j9Ytgh^9^b`@-LwCkuY@L8S(P3>+$R?h<*RgB6QK(V)H>28jl1b)|?oHl+O
zDa1VpB(G{}$aQBsUPp8(cBl5aH_q|?76x)3#{369X8jt4UNH10Jih;nYZ!?oWY>T|
z%LyE{Rk9Yc>vYY-Y53bq(~{ixR-~R{**v#nU**~I&yIyiSxWI5vE`EErY*hWI|Q97
z`k0MV-8U8PEI)368qmK3$w0d$>VFO$m4$
zHw2rNsXUKi>xXFX%6BR;8|KaF{>2&0A~@SV*8Yv*XOA%zv!I8Y|Kh9KiP=9(nSLCp
zSi>z}qrH$=1Bc6kKCZzyR@+of>X;-fI9o?e%Ri8Hc6sqvi&Pb&c@a6jvIPBiV$x_s
zAjd4mTX-c30@ewrU~cXU`J1sxn)TBeQYF!dq6bBd~n(|Jqz54p@(>f7o6EE`ccXiE*4
z@%K*-U%Vx0|4p*GD8uWw<%dAk&=$~#@2=Vo%tD;~rO_14QcnaI<3Y;xMOzsOq1o=(
z-5B0TMk^@`co4x(^{IE{c!}bDt#xcHv$Q9H-BQnh6;Cr0iDQd4M&-BAf}imD%ZJ|K
z&`I;W#n8O8D){mn(a~NQGFs2O
z*<#zvR8!i)1p>LnZg~6Mo7HeF{%)ssznIcuJ7F3Qkq#>mg@98puDEr+Y>OBo^tw%)
ze7fZ;1}4woG!2hQZB{1aYyY{z+CyhdVeOITT3wdKZ9Xt(eI#J%D5Y8aur4Jwn_|6u
zALLQ>^}lKOMa-ckD^31((yqdYi3
z#STD~9q*oHA)WP%So}R}D9w{K^eDQ3fPtMVY3UoEs@aX7J
z5b_9$u}Q09Nk9Ve=}<%gkKs1{2-h7SF!Ni;ulS88k8FobRd|)}PqeT8-^dn}
zj|4aDmBZ6Dl+%Z3Uk}QM#bm#rjk!d)n!FC
z{^eTqNBmFV8+{1d@t}1QehaP*$kVXYcDE%g5@ef+m*0)8sy2qe{^eHO=07E+iLB>v
z_KddnpC*)yn!NB6mR;jSNw|I&e4=j*`_WsyBtzIqGB6aPp#Dn-TDLw<^C;Ul@#(|4
zG4`ti>3_|;f)!CsLw|&dv#4RO^{DkSS+aJyVTE1Y$$*Q_d4p?B`N`i7UU1eyUF^
zOvW1XE{95*uYJERRTwvy(}k6CR{Q4WdZqnK!O0oLXhYdZD0{FIct)bDz0T{@$DZf#
z-J77l)mD9SxZwZQ#wVcBl86}lhkQ08cdF=3QE!U7SJL_ou-1FI_AR+SS-GQ
zQb~!Z+(a$BVnuL!>v;I5G^r>7{P+c_TG`HRD*A-iL(xX@{Exw;pOjh86+gVE>h|OB
z87pv0Jo6)v3;_55ic-c7di0ML|M&*X-t}k-dRbY4K(1GKQ0EzcWqpZ1rRrJ^H}cL&
zIOW}v&)2CGgBgtQ70i}pyj{%7IG}!G-fcN-;a%!*=+rt9EotMuR;#;`mNDX|f9rBf
zrcA$O;vsJ4!VZE$;w8Wyr%)fcle1%8I`;QUd)_tl?%8)|#E%x2iQ`XGO2PrsR{G{r
z3O*!5)-7^|0e!EVw}4{M^?HUQj!S@&bMJQJW!mMB@;>Fj%UFce&4H~Y1-m&vt%Bq4
z<~Qy#zVPdnVu6mzV=5;ga|ys}790BFb(fTXz97o|T
z_o~NedQ!gQu3L>V@-fU58RL2Q&xb%e%TtgNFWvFE#!8I^%bNN-*U3sS@Lr|HrP@~i
zto&nKMNVhs(Uvrn28Kh0+lt^b4l0PWq7&Vf$J7_3`>jbR$z0bcaw--Lk@}ScrTZAs
zQ6KAQ+H0^@n|7V{#cN?}o&?_}J&Xz4SC$0JF>!2m8IyT&()>l_mpdPEoj<*+dHkx)
zfR^GzHt!$|r3Yl~BP=d+^-Id$p+WP!I0k+>;qgN_q|x~tFrd`j3Mzl#=zSBmV>8UQ
z_M)gh%DB$R-)HBevLi}z9Vq>K@`k35Lcws7+=G6Cv|6Di|1#p{JS8iXKD?qvo5Ka3
zkZuYM8t!R}GoCSbhAmm?@Nq=tKe=_IXKn%1-K&hxY&KYwQuy$0dm^LlEn(2kl;*P7
zV+!y`rUR6qe!G##Lg9tZ7@UrQFPT&MWMJKn=M
z>ao#
zUv{|*NVa|#>(z5@88*eu*T1s<=AbyQQhtb0-q5=}dw8;-?Q|Xm^SyV*mIx#nzj!*9
zX8T}pu-6(&>CoJJc*{V3QsM0*C)|DRBrf9bRmaT2ID?jpHPBl4Q*-Tnj_hZ;`rDUm
z2Jvm3JwqDNEO#sezmH{?_O+8mIJA)kGRl8B*eC1B?3c=hpv$XUv$TeVbZSmx3O?&L
zSFd%H4XNiL?%K?rYWQiTU|!~@_{u>!mE!}LoJl0T)S;pMu+GFpPbKkN$^gJp?;GsT
zaxc-7mX>~oqh*M`Rdi`Kca-p9%Y!IiYj8d$dnNvb@Y@!;BDkF_n}(^CY}__`KCF0i
zC%P}D=me_e*{ErIXe-fnC&3U>lf!%slCQ|9>$m;<#-DlP>QAyloHI+OdC?+&(0aP<
zFSZPPi(#4sv-`(0RcOa>#;CAp1;rXN`eV-DMaLzqD6)Jg1`BuD_YUt*icD|Zb|*+|
zQ`^{U7U5Ri3$);t>`rm!8&~esKIm*OomKMg53oO_4KDj*-d3kk)dI$PoutTPH~Tf7
zO|MoN{wP9Oi{GyujDBGy`aiOf628X1ZA&gD7QQd~@a-FiZRS$*coL4rl}~1+hOS
zxGYG2q5V@7XBHuJMcrvn-YZ)9@xk`_Nw7WN4Y(sD={0dg
zw?2o=-Y^Q7C{HeL!)T937XE_Qi`JpaT0?1QYT&Qk0bqow3&|(aO>9iK2=yu&r5e
zD|7V}rfPTwGk-(>6jIx9Tf
z9X9@y&|&R-yJ4)dWcYU)(t2S>7}n}}*U2afDTHM4fphQ&I#z;IQMF9jdv5aec^`)w
zuMTneagq@Gh}-U}p&y0gMhFv!J4GWO8t%~tn%G#J2QtBLKySG&WDf
z3W1)Ueym8F!;X(aMeOz^fLzZWx?dfyr~r`VT%#8^P!-J6w%21Nro;_fSjdzLL*OLE
zHt;#Da#(mIwk=hU0j*fy7VXm?Ys5EoWsrs8^K^Dbu{tN!jR2>7e-4fPFxNCD6J{Z@
z?(FjNtoL_DhOEW+namMe+S}2Gr!QYx5fYka`s_0=j_0vwN-Vb&TPJgmZ7|Pme5OP2
zZpLkBaa#VR&i(@n<2C1cHz_qtg_2I9)PHEv>n;AV-!}!zcnERxgQlg;%y)yj6TB4S
zj^@KVXRV^RyfjF1y8m6l1^Qoan||KoE!0eYp5oXX4iJ!lLR;hAUeRq21&?*>Bh5OF
zSrgz_(1qdAJXQe3c3lD10>UCdX+S|ktB>T)Cm!Ko1gb;r(Mk_Cyk&zAQ-1_)nGce1
zb@MWo{eSed>x=K-RMaNkVSS2-&ic%+5Z4`e@SmC7+lawuE_Ez{_^%$D@5AnO7>8`>ElCM502v)*3CF
zf@WdJ5F>0413bTl_94FvN8#Ek8rIwTP2nCJv`;ojQ^FlYY#-fXL0+K%4PuL8O**t8
z>Ueax6A!DsKugnzA>=`zZl>XeO1QE23D%>rX$O*KEww!5)c&&LiDF&u1g;=793+#|
z^)9iUr$9MZ&c=qB*LM0RKqnV_U)lHwO70p=;-0H>Wps9SzBrhRjd>wA4rtGk?ZC&!pjT>6
zunyV`%W(1SZ!sA_0CP@~VOl$_f}LhRccV=OggDAhWGMF;Q(F!@0ifefP5NqN!fJs6
z{ZXk-yA-bj4MFdr6uaI)QJtq#aQC>~8IMT^(@7PJhHMr;u1-$~?mqy`wQ
zmUF)>sQ1z1PytkQEo@zVykf5LW^)-)FdY9Gw)ODKcT;IjXN>Yo7unfd)EB0LE8|`;L1c=$QMvOBNQu2V(S;_jg&8QzQyCPI9n4$1jw><0k;hU@s&U(
z#dZ2+iF_49eA}lCC3BTD+uM+yM7xG-{YsMeFBa;ioSn+=g;Ehw|5=pDgvz^uY~&+f!tQzlOrbRWIQ
z`+k?Nie>5M?odOmo`Lz{4d$Tdz%Yriki1e8J}5sakkMgZwv6wnM(H=Iq|Hm`M@qBl+M(HfkR{p6FXGZj$`y9LKWs}<}B;&RbWMMUGxJB@h+T78o*CE@rmgDKW
zyYIYkb*5g!q6Sf58LhNS_-x{)mR4UO!U6NMnnoP#!=v$**i525RN;A-3k7P1B_KL!
z)J@t~a{g%eOf846xQbr9^-yf|jg#c7CgJ$E%e-QwT>EGp*cKWA-pfaP?=V+R#yyBc|KGH~U@RKnHL025KvC8*+y=X!tA&UbX_u^z1|qYJAgK=Gz%82U7d~!8ZUru3)jx1QvsEuNM8VcgFke6|Y&=V1g#i*4@w$Zqqi{nvJ#WMr
zw`fgWGDLxzU`o#tZ^P^x!{tc&wgFGNesw+agXK(We<%K*^bKNGd@1kef4{Py|4qmI
zX3z97eT)kXJ%?3-mf!fU@J3dEdyr1{ipq!u)8pg20h%gSYq@F1=cN&VM)d}0Dgf@r
zy{z3x{0!U=y2+SR|NR`@`EP6yf{On7I?3neD2{8&Ckq6R}2qiuMkLJ`DlSpXXs;R0wCSoAQ7dkg^u
zl_qw^axp~bdDf&^s**+T@jUsntyWH7&hwUTUCx#^(x|C)Y#lH4{H{l1h{C%pTq-AD
zj(joscat@KU(ZMrZ;%7~DS5-;zt}sW4K7v7!EAw^VLcMQI2uoofUjicd5K=tIv|&<
zE~!J79X3^FQ*$V^Vq$54p+|B8IxqL4dK_xF?dN%bF1jtgT!4-4dtU-)V98MeXd})T
zuf1<$9a+15mBNsVlQ?&DYcJjMr+%H>k`JxMCz$LM;jdaS*Qa^IYTYIot!v*k$nMh0=JfZjxDANHGzo(
zp{uK_X3>4x<^Ud%kdZsY6Gf?+jyhTFQ0#J0IArDZkdh6p6HPjxX_7
zrvRI(k!dP4(8~Ml@MCFhHOb@p^+lgOwE9)}0i`fPonW~Yj_(-)^flr0q6F4kDaK=?hLC*xyQ?6&n%$nu7F6#Y4lv1MFhH-qT;q}L=vimJ7
zxtpDa4QlZ8VAv?>4p)21SUoWT7QY|TJ{<3g6}928T~M9&Hz}sQ+()jAO+O6PX&wLx
zLM_w|!-M0wurr%en}jaNwo!qhm1qHv0r#8kgn@$o&!DKfUw@0di}RQ6veA&32`hCh
zs)vjr9R4E3j{?T^hR`MAYE
z#go?@Ktt~3u=G0x-S*6xiP1k#1z;n$e=I8ARiTnjdBl-qNxmjsZL1hg5^rG-gZa=d
z;kuDa))dj{`J1IZz7q2*|G}J_zlgyj_1OM)V7TOk3vdmvvzM4COPH$TV2AZ+ZQTr!
zQ56*x4ps{vr(<)_2(iFy-9*w8Oq>viHjfo_beN|gCq75FkvWaB$nX^(KZQFKlgjbb
zrj|NMD%0KS9py)S2z@mscGJ@BrNRsc>Z9wZ4Yt17c47Ws4Z1(+&kBhFbz{m92)?0*-TYU*k~M)=b1w5TF5hI0RH9Pl`uFpp{dZM~S8s@GHVqj9>&vlpnJf3KCZ_|`uNT**|
zDZ>ne58LdkKZbwGStv3e-h3rCnT~WeXV~Zeo>oX<2Fe@7&FGpOjm8*Tx$Vq6^DOF2
zyrg+y6^6;tynR8#7}joEX&L>F>?!H9v=-u!-Ji^$1mY6jO*@iWcQOj#M?US+^@BFh51x!Bf24){mj89(>;8zP*E8TU+oO8-_8f=_J!
zU(EayCNr<-TTnhi5&X^fEWe-aoq1~wG9>8=xu&8oCKy8|PF-O3ze_0)%34aN^KvDc
zjMBgdxab=zhWlJV6H$j2HJRf(+^Xe_YZ0ay}Qe(!I=sOwBPUtxoGt-8I>92G5*Pp3f{x!$tFr`B8sZ5W#he
zr#*5k!ixRARwG_H22vioggweGe)|aNKgju!Je_f8upGQCcB?AbENgW(abZ*hEn%Hy
zbl1K(YrEnBsP)Sz$TXp}Ro*@So)>+yp@{oeS02zMHQpsmMP?fVQ*|oV+%lC_E~__2
zTD6S}yV8^@xF1p!mug$ZZ|s`8&qr)E8mzg0eJvcdpftD_BE8i99+MVV#8-P>oUr&HvfmE8gyoS0t+!il=ee~7!
zK;~fPsOxL%&!{Pg)5WR_OZ+2+AXidYy2+A2ECzKg%~6ZW#wcClSy@m9)049BbN;w2
zAPJ6ht`Ob`KrBR6~
zp7x);2j~0b?4N5ch_~R;{mS$>OjBJj6kFLvIll6m;mJ3qS=UP~yWX%k%d}e9LrI)8
zP9wi~7g71A9q7p((msJn&Q>nyO7*U6GDxj^*i_tCw?^^i2vh$R71io55O2aiZy#Bp
zZC$}(qZ=~TK9tJ#9|xs5!z2v!KiLG&^brL-Io^9q_|&L+LN2R=Rm4-uby@c&+QCl4
zew*DSO@Olegu)ZXE8tpxQn$sndP}nQ8JC{aiA=bruMS0V%9tfX=6akW`f-K9O!}|u
z^q+-2X8DAsys7-gJF|TaH^Z3vZTIuB9=|t^krj%e`@su|8Bc0W3n7M?ugY4BuMN`|
zPB|9cu^KO_FDTx9L`=y15xd;QNX?S!{8!{Z{mMg>1q~wnMe~8Mt&=_<;<{@y;P3A$VCENEYkw}JqdvJ(L-p_Vn{tv@g}Vn
zy{i^t!x~q&!v8kubALl(<+H#mmDkAfpVU4)&;IQ2Wm>N#RsYx29rt0Q0{>Rk;59-%
zhQD%G9`_XQSS(~o&+eqeOS5@pTykv*P=VyGa?+QF+Qm?5F|
zbj+pJcD*gyM1oh-1Ga%5mblEVIu;(#Ra#t{OA<-k%DB=gODHPKLg3Vw{`+{*J{=ss
zP1%ILJSq>#A~Vx_JtaM8fBe%4;W0SF5C!46)a;2k@V+X`biP~A;+`tUo
zdmI$l@|1ZL$gA>VB^2OYQNv8S5J`1ivBiFNak`B>wUDu&C&Us}$&LJ)+oGoyW9-?I
z^hhClyLz5K9lqEVIc1Aq_vMoAe;TJ+yjSGBtj95)uhYtaK!Fkyq*o6I
zOCFvY7V|x)$4LqtFDFMOXrE;9U|Hn6s%B!2m#HZIc*b0`|GBA{Do*Apu|?Ns_D`rp
z6($lWs4}mzXrI$Ip-N)V*;@|Z_u$LRzus1S-M6U-N#7Sr5ZF%JUQ9}Q$?cK04N=B&
z8A|^Id?s~d7FvZP30)o{x?_&a|?7r)Z{dHb$Q91J-bUG
zz9G6&4y!SQE6lJXzxuB!7K3aSC!h|{7!lg-Spf0{DY#l-#JKqg6*3Q372m$
z_O2jvxn-F0>p*10QiX%Bvi-J{J?&rno)g(EV1_G<<_H@=h(_sePKAEIdCuM~V-(l~
zf6?PnHFcKVy~9O1{~@eS-DJw697MRsKtEBWE*y%pr;^To<;@w=U%JFF0^^Uq7GpLU
zG4d~q5B3al^)6YBDw=mvoEYUH99ckjmF=jn%Na>k^A`mlIdsnX5lXqRJ$?E#Cb>7f
z^8JrQ*Pp70@-N#DXI;NW96bO9-|O!}HC8Wt;hc85n8?RD8c(f<8p?g2CwA>I)+Lpn
zx(b}14?)lG>KC~hjpRQw82cmEJW$~h+s?(tA{+befxL|oW<)3#qqLkW*x9LOgMqo~
zW-O2s3ke28WF9-z1Tm-0hq9%+4?1T$75xLF6fUz#y1!=KIcGMT1Q%{M8x)P|A5hTJ
z)LPVLUI`#@%Zg8@TcnRH9{!mZuI4&j<6##Qu2Y*K0G3b?j{QSd@$X?&mP7URk`ib0B
z95?5(DUs`pXzb0Q50}EH)SjBIKw?=OSq-7D*!fom%6sC^dt~pG>ITl1g3lsAT}$vz
z456MPkM*uV^zSm0U9yoU}Yl=zZBc*^K-CYKygh+RXba#t@ln6+dh|=BNeSkv=(hb6)ySe+|^M3FB?jM&i
z7{hVo{9^C5*Is+Ax#o-zx%A@B+x@NwbGtd2Fdlg{_8DV1f7i@m{@xy8{)X{(5S!RB
zm6|qA^}O%O%q11^Z_3LsDwinlp;rzs_nLjGn3;SfH8s|56QClu#78D~@5PN`w^Xl4
zzeaAZ48hBNQDqZER{Rl5ip74PpzV9{LUt|tfj$2vH@&
z6TifL^(Iqag?+f1>XsnKFl$lYd&%2rAEv_w^ENWJHs3TxMz6E5M_R5eWwEFY{LW%9
zkukp)DEN$VeyC%RlW6gt2~YX6o_kFBRL>7IpOfV(JV
zLP@Xcmdvd`R`LhW9Y!YBr!{9Dxfg`=;J#4|GmTzjC_RZs5>oIMO{FO2G$D?JT)W4B{m!So_MYI^qoy++jJ}6wxmK>x2J35)}$ulwS`Fi
zrtQ|AEdG3|Ppy(OB$=vzl|j)b=GlEyW2yGMQTF|8-O4spNJMYxwq6Iv%h0yp6bnCL
zXiNLMYuz6~H^GU<1vcJE`+j%N^IV&aRnysItC9v=*!Y*T3SX$J(2{3ciUTi?r_d&p
z=GN%L`s14A)@Q2eHPzuNFQ}Su&Uwv5tmoDiFKqcnme}k(b=S6;d@pg;&ESHNFtznkdXC6)Hosn&RyPXf7XDkquw!x&*JmDK
z$8}xwkBUv_HH6%Dx!`Cj!^6WfPVjZwif1|;M_adL;htaDM4Pfr!fUO=Ou~md>b_g-
zlvg(m)Ek7D$SR+f7owLP4p{Ra=_JiIYz;3PcWXH7+^5^%gu9XHJ-a?kvR_D0+{q7V(
ze$!nH^$Uns6p~&lj$R6C*bS1Rsd*#_RXS|F
zNiNV5a2Fg%!)rHa2Y22%#I^OHXN-pUciYTT+IZ$22w;;Tt?S_O(-nc36{`r6KQP{O
zUu*_hh}dse!M^RNHBC={vc2TW{uwi~ck@g@>#7!saf1^1=#Li)`z)I0x5?2Mx87Kf
zxEaNGMF$stW|Kwx$acm*KprcGuVuz3jn;ckLVGr8>AB3W+=6sGt$!BLAWSqS(32rP
z&QBobZecPM8kpg7y_=%4WMicxqD+Atnzf_bw%E#O6A)bFB$Kyq(DN+Dg$a#hsBG-i
zmG18y5hR=-_q$kL455
z=iY|f%<6|03vjE;M|7gtw{AHr+vaisP`+M|&N!M>=Qn0M4sW~Rl@l}W`lXZV-IVB5
z{Xwsn4aU(+PKP)f&)oR4eW^2Tq*oJ&GR|X1YhDoSip+-x$~c}cO_TFlAAU(#`0kml
z&U!iRwV9=A6BmV;4>{9?{zUS;+mGoOGjILv;tL7aDx3pHbX=a&6N5^*U|7>=(B
z(J#`r#Xjq~GoS|Q8X6T`J`?Y5`BmLEl&pWuR$@jxmiu7)Ere!Vtlo6{P0tL*{_CM4
zd|I^TdcFm=BW-6E%tj2=D~#!?=Z1JGLz80dD;bdOkHWPj#@`#^UVC)f>;#|9eOIdH
zvfKO3dGUF^xw9pgVviOW=mgjnP!2RFyXWiV@X6eYTrw&KUPLoORwWbGQn?OztZd|6>bn`F2lAST4>
zCWIdvCEa}J)q=I}P)OOhO1)@4T(EV0J{$BxXQ_w8#@9dJk@)g-@ZuT0TnfLVEG>2I
z_r;3r>xj=#d_q*C^gtz#ucD{JQg+Md?5E2#om77P+k0!`B=%3Nrj^fy<*34I@#${z
zjrY-8;Qj(sErkIF(2G7jXpx9zfl;VdecsA#z4qRa+xz$LD&7wvdE9W-SPIBlIT6^3
z2uCOH290?`neueR$SU`kic4P`502304vH!&b-)
zs~IJpt_Oy=#g~pQyB+Azx$PGPD>OMP<`i#iuPX*^#jYY{lHg{J4-*_68zPrR-rE#)Kh=M$nTkCDW!`CN|K~y
z)-GP1jJKNfKm&7mJ-4kiQMgRcNDe0Qin-8}cvRwu0MoSREZW`zKZ!e4_$>y;$ty2!
zX*e>+>sZ*Rxwg$8yO+m$6Wj&|%w+I=Z1>evZ*9>Wc|y~>2Px;brwc}$jS!(DV|(+l
zyJAcW&<2>+AI3QePTiODv*{!9xj}NkR_`V}U*Rfmo4}APpIgA*BcZT?tBicP!qhQ)pl9
zk})-Dn@)EvEb*a{>b)yv7}{X;EcG7r!F+e73~2d}gUXf%f~tI2i0B*KAO<_|aKEX+#(ArVN=JeO!~G
zndPbOcy;8*0e9?c65;3>e=)6`uqy!3
z5)BZ6w!~uD=MHU&^PdQR67kT8Bl96W#;|qPX(_iIFdSIh4t~p%m)y4ZK;CSn(+t0I
zc+R7iqoO2y-{jhc6o2%OB$Q;-Qe?T)d$Tu=&(;Zl``9uw=JyyO>)
zOn#-U%3maZ=C08J86wtdz^WGtF)@`b+#^o=$(2?bn|OK6)|zp)eNx0Oy`d4ytMC;9xc!#u;r5Dg@O0Oy
zi3Y`Cq#@dr_csz6#wkI%r@uTN3q{5ZbaNth|D~5t<_F<&;&?=%N
z(s^-H=(;^R*=2EO&81AaeapW(bU9up_syAD{kFWZ6h@-F-=Il}J}_bcr8-$6OIf_#
zz4=*UgGpc-E8Gl!@W~ykP8gD#`X&vk{ZF{*SA^`e&g6-LU*;|jsb6@hm4nyc_;
zyK_=sgTukut)3|<3q|B^ZkcxHKd)jUG-V2nlJ=$}_eRx9j6jD+i|uT>QI7=ia9N=9
zlLE%@M?9eb#$`x?W-36n7CJcVbGiL1B^9wZossaDr+-GQ1$k!jQ1OP_8?v;zYNvg4
zz@8=BNM-s~&|w<2dipZcwS1iYtnUD(bv-=Bz7UFjRsTw3!;X@c0{t?+b@Nh&*f*5G
zxNT|LVBS{BX8M|j+4Gyzezvp^ua^tG)kV`4oX=J{9bc#-!}_o*I801&>W10Pf?wDL
z%ZnE^ZZJ?Hy*=}-=;Wx9FDz
z&YAYAZ5Ape;+K-!mlgmD?smfx#0WCdqPo61A^2RQr~7KG8u%_*&C!Sqpc(f};4;J3
zB^!-|ase7RG#twQh1LK-x#Lo6U+=nGm6|QBa%n)>u#fD&F8ye4h_j$l#tbz
zUKP!A>|D7ofp}MkQ9N#z}j}%L}~^$mv(1(0yW`IA66B_u>gCzERg+
zOJ=01tzj^rcMbxy)6pv{D~juYZX60Y32S$oF5A8&A|}kO77O9&Rm$%5bIYaqT$l?7
zj|*uL+N&07cFwxa>ns)bGpQEncZL%7C-H;<^P4vzqM~nQPxcb{G=hnbC
z>?WPmMX`8U{ZND+3nGnt4qirk6_)0Q{W+htY
z46b+k#>$FW$YpCGgg#9lR7DYduruIKf_Ie^6j}m6LZ9^n
zu%VnHqw_c1vjhkr6;Grb=~O}InzN;_b_Z+V;t}bj%XC4Gb!q&Ar}_Yzst;IwFv6iD=T(8J0P*=K%hQts*?jB5SIZC-}ci)9!sL*&0out
zX6Yt?920?nG&VM7w_obuEVe&ijYnZO=_7D(bbNIf7^>_)D-~&n}f@nuk>O)mY?R+nXV)r*Ed~?K5u^t
zp8R31DrRuE00WUg10I7qKnv5;(a|mJH+Fh1DXbG%
zJYj<%ICMaVF@h@(Gps8=%bYUp$^G{Ca6aO{!DVI&#Y#2U5vMZNA<$j>v38MD?26TSr2FxZ1IQS6&XkYVS5
zu*h8W(ib+C>B=4>>A&st_3ZWmB~NY=BKsju`wVT-c8z?8Zs-9q>ko}`({Ku*IA{2{
z{ocY0gu(GlXupD`i3k9PG-Pz)C5rLj0Scu*@3Y*{l$R_&P`?2jO9|km*{NB^URpwS
z`Xpk!JJ-0femUXEZ9CV{pFk<%0Rgmbya`Csy;8W#auseo!IiUW@jt9S%eLbjCa*V$w7stJGg=v1XS3ZS7nVBN
zczRxHX+SL{5HBIzHrroIEtO*m0U{T}#d>1ERseeu-{j=vnU^R6@(eobH5%OPfAYF{
zECv#@%a!+Msuk-R^fD;FRE6|Gq0711Y2US~ZBhUeeHD;ht8N~(1UOH-dZ_Nh-+(<8
z0+61rXH|zVv2-;(@7Q_YTZ&O`1e9{QE5Zn{X|3uqv9f;7FK&9|2h=tu``-SjBSq6D
z?|=m=1uJg}N??88J^+Cd?N9WM>M~MK^0DnLF-4)t`nSvY-!x7`S5>DgMT?x2_MXcF
zG|FZ)!mOgcee|Sz%WrmPDs62qS?jkr0T;Ko8?`iGRYpJ}LDHZ^bSUd<0*nUSqAX%<+6&*dV
zE&+4=alb4T3lgu5HSdMi%zU3b-Us8T?#D~>;Th9+S<>x~O`j5))qL9)*_#$?CDZRR
za-!g0q`W%R@WGfUP|MZU;@Jfbjr$77o{)8BQ2T5qtu18=6R#_zqcS
zD1qO1qlNk6miFp%&*QH@4>#D4-rWYDg`Pp5yRALhJ7<1{^atRys+P1~bq9vp1Esyc
z8Uglu>&;KhoHq_%r+$Nr;OZ4%lgFcF3*$74JgE11=A9nb_-%gnCbj3s(qKKdsuxZ(
zD<=8rm{Fv?m50YM?Ne$zf9hjzdATg)FOCvYQuq`U6g%7&RgCX*v?*Rj9Riv-oYRqw
zp^R6F9K_moNB{++zt*4lOVKJfL?AYM1oay*EK1)idjS0DOf*X)o$1WHif7wIQ6?&$
z@I0HBdfOQaR9WiSI$Qiv+yQTBqL3>qz%u>3(3FnljH%Y>+B%K1H=>@o)l;v+ZAwJd
zXzun$+Kvoa`(7UX$9pM*R7q-k=_u4yXQT8pC|Tf6A+--`^@VXkb9%^s8c~6B&ZN}p
zxzy)Xo!au_4Bra0a-0H9OeUfiCzR6WknYouM}u}#o6|CC&?SFQgX1;kCY`3JR8*#%
z^hce!voX@P&N&O7V-abag>}I@!04MiV3C?=Ijg->
z;Cw4^wL7}Yywa*By6`J*FgTaWIHvr0gUNL?D}w+JkJAMH!_wXmt-N6Bb->z+d_&nLar`l}(t4U`@AO&G
zCt^LXD6n+*r)`^~;^HI$#;O+B@Slldy+o1Ve41>9TqmUWU}>IFoRI
zXsXHEvz9|*x=KnyB6gbo841`C!7|v}^}S6-T=H_aSuE#L&t=jC1V`Wc9f5F(TENC*
zT3T9iA9);de%z8w4{KwRp~C9hKXuvWJ>9;0wmRzNPm=}0plpgfB1A!=lu2+>G$-L+
z-+P(fhaMHSx;Srj;C$D34ZjoKr#-S~@NIT`T<&`ocs%X;5T8P#+Oc>6gk~dpZzaT;
z|1|0iD2}-4D*m$-yfWLzctMVeIWC{H@6+i;1bYe5uuCvd-4R{UA^D
z$>Tni$d3twNJiR{=S;p^ef|CSuC~?s05AC3>gwXYTOUi`S2F;?558?QXh)lKTgF2C
z0#-2?7#B^8<9E(01dOpwn}P0jlHdOk#X
z!0@|v!})V6-IUs-5H8iI+S4AV?=|9oMD7jNAQ|?ZpX?dGTJ*V9-F=t$kYD#O$hr2W
zfks9>^AZ!=h?kmr@Zo2iJjJFTw6`ZYS>~Iy_PC?mIKI4l9*v9;4R*U>>fq<&WfM+q|+cyMl@W^+G4f%3_gGByj220C$O>nDN
z26_Sx0LYRPurJ>1NBVxWvWiOTSPw`S3;fAt0N=ftZOGzDlanl7!=xHZ``Yo|=8+dO
zpYBka3fW1i<6FwyUXH7o(+4vq%#FO>d&{y3r*u}A%b>6+_&gu_ZBb7_$@Fe-V>Dhe
zIsSZ8Wtg9@;iTL8Hcp^cr`O546cp{i^C9uiIA$|bMy~hp1gJ}Vjf#4=Sp~WSiW&~y
z$O~@JBJ?VNQNsYi+#6Yi+`g2Tg}{>me)(8W8xYpccpVPV($U4$9@iO=U;;ONI_DXQ
zXa!PMTAP{C7QHz$Y7w)f|BAR&61RC9Tk}=h)%oEo!76FFFZDP#d>A)ZxhvbvMbpq?
z_{qT(y`|f-zo?T;aqzUs&_;r?Acfw
zCe+lGZ*r=Xi{&%UJ}Hc~yUx}fTzU|(3`B&4+@F+9#-rL?`yaQA4f3{z-x
zAyOth)|4M#-FHz)k8LI}1%u+rSsfXljaSY6!_8kNyYH`nN*U5k
z;l!(r_4MoXWMJDCvhuAMo=E>Je8iVu_@$D|S?TU>j-UtE^}`THz;
z4Nw|GA`$U$$~^=@qihQQLq8B=e_ROl0fQo>-GRWrNA%=U=Q-_b0FKE-0mrPu-xtSl
zF0j@>zY1j;eBNc+dItO=8I6pNTCYD-B=pifGr+#$#&NL@?l9)x5&z>$N&8dTs=u&#
zGV<6%&PS^`J}vc899ene)oOuB-z2Vf0|mT#<#0U?`Fkd&U{y$_kHy*eU?^gwJ}No$
zxMDw5`{aPoi~!`Dn6^#lbRZU62Dt@VfE@;)Y30_u3ge*`Oa1
zN&?6Zgg7Q9CJF;NGHvhUUlo=UJA0pX1q1}VZqC=W9S3+IDc&cOKeDrfnX@;u-YQTV
zRG7XJrMX4(z0o~5DHi)M(bYCj+k`}?h>)Q9*YKyrWj__dC}iq
zO^SxOr4sBrJNDIuCEqmY8{)yG513-Ey^&f=zvP|)MDH}nc;ANJjjRZtQit6ef#{sZ)BXCpzN0F)-_{rw4FtC8xeh8@W(Kp$MQ?~^bqGHzB
zd*?2_jY_d{JK#;g?{Hw$w+wsXYeeL@*qqZ^Vy>>O(Y$+fF-TJPr?1i%Ig4le9KYYM1X$SNu>
z!1$zO0OdNccSKS{)cZmqTb=?0(Hk2ZhyW4HMG#n>JA3`#HhXdzNwUnRwzi(QYykm=
z83ukyAh5Q`vIi*9}rqPt^RHx0YdwkBp4U$Y$%_cVWWdZH~Mtn?Rp42Nu%5bzQX-u1;1CH8f;Ql>6h}blU>HBK7GJ?$oUKlNOtA!GW8u
ze$ch~s;!lss^OxML4Fs3ZiI==Ev}fZgxyBQ7R1$jYWAWt5C2Pf&2|*Wo<1w#>h5)O2K02@kcSCyoB!Z
z&xJx$K|&GVYQv3__$p6DW%GhSZB2RTz*P#aD*7@_1g=jc~@
zIJeDk779~R9DTr&F?;emc@zRq8lAIZ%QU<08#rw#ZB8+8FMNMvz(nu5P6_g+ZG*u^
zLR8{NGz^oRbakhMaU5%L5#tjU<0Go_Rifcj?wBu~ScD?qJu5b2>ay`~=~91}onmWS
zpzx1L=~HD1>iR(1f~g0>c@
zbtfsKLIWD0BB+y-zBV#}HMUY{&vS=r8R&CAK%
zB^{O${b2r%0+{G)w}iZP>#*H_ro=o=|MRdv;KNowD*&yTii{aKzLdZ
z6P15qenttTC|oG^i0CyT<5&%502DpT@w~-pyxKdk(es;+w=|}`Sb4&q1s`q+iH%cG
zc>wS+q9Baticdft;^T{S%F-8|r`uCM`lr`#8&aEZEU`uPCa)>Ws@iJc3sn=}mi4Zx
zE9dc&EaXxJZ!#I3-cSBhJsmhuzec_r
ze@&Gv-j?%1gqVh|C2roJ)3wAFz2oVtNx0@-7)wO=NqB9>~@R`NLz?n{)jumHQJxfpvaV}i(xbUmA
zbYVxd>Rn@6oFklFTDDCln11w&j?e@nVNmEPs={2QLg;;Y@oPx{N}m7OJ}o}XsBN4Q@(Hg1}(!yo)wwqExX
zt~+9lH3<}!l7Lzc^5cbEN%NAWt9
zA=2<{q8xSrv72&<9-udVdVd4
zW_}AipSH*JBMgiIP8jUmM{K-G6s~O{#wMjFq>})Y-8B%%GRP?R`6^8U-$MtNc;Sg}SeOkcnrQ@SGswLI
zT($cdSO|w7=d@B$-dBf}FhOVSv?eJa$EmTM1_9YRx>YZ7h?^?)YW
zHfu?r_@lU#Aup8I&a*p=QJAEKZKfHB_(8kK9+2rZ^CzTEKtAp`>nk57%_}r^&F&0!
z5D=($LpnNshm{+yTOPV?MG#Wx)M|^1xAp!-sD4Da>K_x`(_x413$?Dk1yjZ!Djci%
za?bi2&sDy@es4n6zk0Y!e7F{TdG=nOcbe0>={%mX+8#dsZ3%>}3KDmgFOEA3KxhU(
zNuN`{07`{$)yc^8>*cyUnJhp(_#yv1i|*G}^XD~Uf`g9y(X-v~w>@mnYAd#9ZhD1X
zv}lsJMZm`lmPA2N=Q~
zonzs)mAbP_XI48eruRi6i}eC0mE~=GL<6Km+HjiVbfPZZYI&pRJ!n11WSVc)u@lCyI;UAY!=M?*#$UaaKQ2J{$
z{OSJCsNj$BX-H9zD=Z%Dzt~ckWf8$rbLRU8>v84huzD%2?x&qn96MCAd5zV%I$B(=
zhZjrR7Fi!%^@hLHHMQc5x5zt(F&e7HWS8Z=#e$u!g
zvAPwu-L2=nc3&l47Bw{vDN^p^iXhnCCechIHePug9(a}}&=GjF@fEH?C1mz5w)Aep
zcDHt4KFyfO61g(N7_(IH=?6WmZa@PopN#=A^4*+mdOh!udZH{Ojqo0#*RBz%^P^YU
zVv|p-7@xuYmhhH!1lH+S+^yo7gP
zd0WrYPm!CFD!J_q;NAK<2)SL~P=>o*NMWydyqRxhuW{`-4zIh>3^%--tQY*%kUGge
z@C9r2eDM`DAxCMjn(|rS#Y8~9ijWY4eL*cuum@iGIi%`cPx+zxqZ8Ad^BZkzQX@D=
zNlZ+ZxSE(yaR6>pTAs=$hXZTo>|q^_qBv^+xQAd^b8l7eJGLCf?F(gmFbV;U5nz}S
zc=lXPSu&Boe7dLnem%gQ!)4wzxGgc8d#yVjwi2rWKlA97uiA~EtCZ&ysdqB{{gZe&
zW1HhweE8jHIkRJ7qVMFaA^^p}@bDC-vyL_P*IlOf<+M}`I8AcW@t_oHPAi|81o1}Q
zl#g|RQw8NV<`h5!iLfE`K{EWPP41ji`zoWD&FArHDhYQN{sgfJro@v6k(TuH_1mBL
zI#axrgr2K~xS13ah=QGX-cW}1LaN(c_#5Rn!%AE{?886e*%f#S+*ZgDS~+`nf2`P;qJD?|mjEHaBg0O^vpwGu
zhx;q!ev)zvD?WC^JkMX&lnYVQ35E_@Cx4mX_%{F=lMLcA8wD2nPo~*(+WrRJGg!MF
z95(?3iMByojU^|1ZkBl3T)3vNfd{Thh{vKfaMSJ0CB`b@n)trZoO=s@0EbP%<<5Gm>-5MOe>1R|Y?rvWu<1CU)q)D?4bMob9OVNyV*zQr;j
z%Umcu?>pH03@RM1Dd#*1p@ucxD6S$^IO)ZjBX?dP>QO(t&S&A5Pnej(e6BARL4*YO
zOL_+fyVeg&UA8p=#Z*7gEUewkTd1Pv#S8#4+aD3EC!in!01AGvbsBp5;OcpwWKb9v
zz4${z>An)>w~P>JO~}$%14K{7eO{AKGDx2*=5HNpcBkxG8(J3Bd{ARCIv@+jbh{bg
zbJefLZLo+4)@$lt_+gYBPiB-<&)m)NeTl_LxQiK@V1u5d(IuYDr``pr*{m!J50UX5
z@c0&hZmm!4ZNMQ{h$^}dDO$S((n)q
zo}LR$Kih6w5crR8RCVEzS+wYNz9~JNs#Hp>KD;RM*Jhbk-9^pJEHtuekPrW=tQ8-I
zwKqe!wyu1M&V`>kc33)Ga%xi}W63Ude^I;mxmtu}!+P
z?OIV0ic;kx6HH4?yq4Svb1!)iKE+@xFC=1Pr?WyfU+Zre_34vQ0>F62RygPTN{EAG
zDpV)vS5=|!{ln;|GK}7h)DMW5Ay*RF05;^Xtn0NeQRliV@8u;73Knai3Tq0O)_A@n
zaf34eo~qdi!)}iQg<}c?{AL`WEUP;!vC+|OE4?wjJw1(wRMoROmQVl~0#pvq%FSS)=*hYW
zD%vc3yfieKW7fI3x!M43hA1&OZT*fqo%c-#Sdif?xieK~#CV&^Mf%gv`SYcH*fk5#
zuu_}q5VUKxbE|@x)adY5(GVfF@2DQrmvcdZyaD;ykQL~xZDPzrLK(&NC$V+%fX54>
z4#b#iIY5rxuUTDrcv4I>Jrd#f5UU;mu0Uu=wP`iD{u%N|s79Wz;1e;ce?$HvZLP+J
zW#f%jG>u{z*WQYv(9BT*$9y-uaP#U8u>J7iJ{Jh**>B|
zU?K}gj8uZ~^?3fSJnBmI8rMS%7^{AefgPZ!KxX$i`lGmBUS6KaMJ6ozA1naBJvHQ2
z(7o!J{`Et9V4j>n;7wla+6gds5k@Z|%3avRKl?1Hb#%a^BE}lT$>CG=Si&va)$^aB
zt4jlX^D98|o{o=?*bh+ug-)$$K#&OsW&`*&u9lnKm{Cib3eIR
zn8m#@?#Y_J6*Qsk=}A+!kw;`1cG+R&r1uWBhMZTv!TRN(e0g_+Hawx`Y)D%sFFhh%
z=)BV9V?W}!9yK{ySv$3jN-4BAT10KSXndLtr4*=UCf@uW^uMYwK
z8vqLknBJxn5lJ;@584NYum>=dfsJP<7RW4rjS#f(%Cw}=RS57|j)wyr>1XgesCotP
zKi%M0ZLJnmC6z5C-hkCW%40#0DLI+&f>IL1aQ`N7LKa()zxaSb)4qCpBE|h|$h!C7I3pdQtu@B8n96_<(;Gi1mC&{xZfm
zDmLGmW1r9P?1-Yt8g}z?+`89f%51v!x=(e+H!>t+v*Pa7W70uf)yl4a(_6VbqSr@C
zHl*cwR}lQ0>n=3KN6mvQ6FOSf?tkC=UUvvqY-)m|G3au&2yAE&-f1`-^y63q9hibU
z0<40^v`IgCFobh9DjSLnIyAe)D{Fswr2KY+l0Y0!RpF0azdHi~$2g9(lXOizI1U^a
zqUL}Pe>__8S-@>bkZ$+_UOg}DP11+(Kuq|R`SZrX{`!R*Tcuy_I==v7eWuiL@>4GVp-`QuV|p-Fv~*IYAk
zA8~JFLyXVQ$2oZRJv*(h4W5phToZ3!efXeYOhc_0{-3ckdu|bkD9mk7S5JqsJY!x-
zg*E3bh2M>^IOEa~9y>iHo+=1BE8EIUpdUi@E~Ymb`~Lp-k7y7>zf1pB0%8Tk@HBi|
zatsJ3zB7hg)}X}(AHjbUc9kzdQ2Qaw)*_QW;%*+Kow+I=Bq)ccA>|Sd@-K&ft8#(;
zxr}G*zsrw{|G@i;iza^!^BcoJFeZgE6_pT9*K3(wq|Y>la{cvyxzFNX;oPSeK~c06
z-tWM#*d^l6diTI>br}6a63br;RBQwh3pnbBjG;(dL;%Iy9dANYVVv@LzpELVbm8j(xYM0J-2{wG~Z{%X2K29XG@>`TPrWHIV*
zgl=Q4eJ;hce@ba2@;SSOv!fqY8uPHIs#~k;?8LS-+Sk?8jVODnni5jiC%{n@X{I~Hh;(_{@Vc@#Y3fV>v|`dfz5lbVZ76)XY~OTT
zUe>w%uo16s6}7Z9gOq;0Yd4GpJ`a1|)6{f@44+@7rp_?sFG*PX_YC=WMC6w`{wH()
zcfIomz8FZ+u|Sjn{+l``Z-@N%2==c7p|@XhU<651L}BRfNA`I1L`tC195EYzt*(Ou
z)2_BXRebM%fBNn}=hFWf?39iWXf7tr4C$E1fBj4#QV`0W13>iP|9jVNc5*?K9{>OQ
z;lOwARzBjkEAP)QtpjTxRhBj=U;dtqo(MR>2!i31sm#%;o}1hIOTn;cvQNqn77vx`I^
zH;yCA+$h4O4M~V$QAX38RH@`>K8^!z++C{jk#Xvm+2eKIn>QvMn$2B}%`7F9^glxi
zzaDVyg6_`U{iedwm*44%R{5-b%6~tkph&X!5``xy$cI%QIu^BDtYh!*gZ*+xhZhey
z(+5S%KF-kS6&LoG^mM(Q+8;k?mzI_wzpHJj0s{k|)E9k{mj2fKect3OE
z62uz+cl;SZ<2>Zw3c>$x-guQ&k)Cb+cP242O>H{#|F;pObl5FmK0bzE{CAC{v_aba
zp}GH(3;bu!$?HHD(chYa^m9*__S5;6H7s1R2i=r7vz~!MOo#`G((L~?=Zi3wzLou!
z6*K)!nFR)B_ab|)v(v&!%&k=Nw3WMST5$bqSRg-4{qwBB?lgjZHE;xUz-?E@{Bpg3
zzmY7yjjsb)c2%wacm&y3(q%4JP2C4A>X-Q@;Y^L7BR31=*iCl3)AC=CK@(~SV_1wZ
zmb$g{n77|Tab0!4AM-<4iz5;^^E{+D4)6-P1-=;4JlW$>w)h?<-Dt~o{sD25WhIt
zhJIyG0f6$^$5L5FoG^pIwz@nzQ
z>}tu~KepA_FN03ul`<%+5g@yxefrdZ1Pw4J8q77gi%Usy0fJp#P#~~gR#lPD03h5?
zUx#=a1%`P&GKn_qQ=H3-nZsaDqez=)Pc1Bi5P)WC&1z
z*I+?BfyxWHZxTPgHqYOmhXoIiK_fZ*4FE+68~qP8E!{iMT$yHY=K9Ma376Y{uFjbW
z0#YyZjCorQk|63sQZF-p{qKVy<_SFC;%aq<<7pX;jJ0Mpnu|oFtxNgugx@c;gRR^j
z#ry_N4UnlyOEnu=2M10FI5byP>lODS##Lnq^YKFlB~5&{ZIOgi!u~`oE#8;1%ud3T
zXgZkJ2k5~<5_c<0lR@BVCnp^}J^Cnj{u460`q_?d^f_5Ng4&h!b(DKE@*;wQ7kkZ(
zy0*3D4lj9ZR92MFE)t^6q
zH}g{9pEsy4o(JY#&9GQN%gsd=GTpurrK=WdZ+-YD&H`1Uir}o(WVTiBvizUE7qmH@
z9?x6;p+ob>m3}GDm8b!u(k8`^E>Vq6lr`P=(IJkvA9tOF3pv7)G!Au6>xdx`Yh6>*
zELsLWzUtwGkrBn$W)HYrq^2r<%u25k+z*E!Q@`IH#)Kx2(ifN6Jp0)5Us9iB@(u>wizF|LiZYH%Eeqd&dfQs}qY%0XM2W1VX^m{U>4~k(f-U{{H3qI2fx^7#Y7Z5oyheqpVQVZb(XDv2~Rko
z2bpo-wk|k<>l7#LA2BOZBc}?V)EUym@$=t=S*IrabP||6vG!5U3Xkgc*~f@ap{
zhePN+jOP$s34zFx!W`PiN_0djJCe
zO%^s5mS5mV{PZ=KY5)6J7n)clS_KHQ-?M$SR6bvj8j{8xxZWk|tW9
zQ%XTYBaxGf%ej+K?LFe!0Q6jbpjqdXTV*rL_&N!I|1v4O4_02!g4Y84t>c!(jpGH@
zNY9n5CsnfA=cf{a#Yd{UuP&xf@MgKkFXGa{OZX|77#qKb#<4u&G7U$hU{D_rjcJJ5
zEj$NlxS}}^|L4zrn)PlZ2b*}SXXA>dliE0u-ve4;kFC<~qb@SrXMB8Wv9Ym&j%(qd
z2O%3|MRafXsctityCeB(ispAG0&qlg=C5~LFF@kbX>*L>+)H$IeH~uxd!6sIAEx&Q
zbgSi6>pDAEB2dVPD^Hae1iX3kX0!7ivj0#sXl;QVoO@xd=_i>!!-i-=cOsdR2ySo0
zYB3SB2#}l=2Zx8wyN#!Lo~Jtw^|L^#Awkz;l
zM}GzynpYsvgK-bJ4+fh6XB{Vi7#BI{q45Amc9Rsx_^?VKFa;d%8(CSZd5qR`4H`<>@>tzUXnsUODkBx&4>#z#5N0I*t5Azi1hnLM?9{GXb;6Q(WXeqk
zFg)uQHLH0(n%o-#T<$!e(*-2xVnhkEHfPDGK`Qf@HFrjS_8)#}%&(iRX9s{XPi>`1|FyK=a
z=1R~sT*$}XoP4}wB43lE;0R=JlTUIF*&yfFH$y$?0FgPSVM-DdgiXQt`r-m!Os0Jc
zI?KM&Vv(>vK2q1zO!`bAq)K0ulOx^R+k4E)k#B!Ezz5xSv7D`QW@KTpo{K^9V}Il$
z@g41!y;arfR`mWOt^)6mT!{NDC_iL^BxdCT6sJ5)_%Ix-LPV#~Q@U}nX>ZW4+sls0
zqT8T;dAf@u*P*SeTLg+G7NCH$37XgbD6+p!5_T^GjjKNamRu3w`9Y_vW|?t_P4o4M
z+=^;egeq*cQ6$IBh=t<+AvDr`O_ceApG(Q_N#6%}w6@7}|LIRJ$ucA)>mEY^E
zgwkyR2|SKI`?J@ZbB*-~H-beeT+`|dj4TT@;7Bm36^((n*EZ7tT4BIKDCH8^UleIJ
zdjU{#HqZ#R1OZCM|EcaffTGN{ZZTp2vqS|02uPBwNKyoCP*8$M77@uo5m55zh=HU{
zQjjD`vPfvjDheW!8fXv%3@9KVDh)_zcCynkNZsr&B#>b+a_tf?ug>-
zT6>+5qxU4$HVSAdIQ!!NtwS)f93FP)_8iLA(A2d5>FPZ_m^S{5nOFLW1JaUcDQm5;
zuCn88-&$H*TLsT;IB+;AmZ`JEOtGx9Y`fv4qE62J(68D*y{EQO;%0mvh>>oF9&~3~
z=N0Yh?UB=2BM1P&+2z)vf@3lUOP-kIJSt;vlD9K|dFS@+ZMp5-FCCcrSIq=H=3FA1?a-`+&|VkKj$H8USR@Rwb2uoL`-?n(3+&5KQF*j
z`k3EzOFVsUW_0K!yLpzJ#*0rsq%U<%j&aI4-6w)R@e(QP28W;1Vo{mRYx&l!bIDoC
z?R@hJ?{Hqw;KWpZQBl97mmxFffuVJV@e-~cTTgRZCR?5A-&rdnnzv@R*yA2EipY@T
z=Fe|Qq>8WCpgoh?DPno$runJr7wip@e5PT1rcx94ubIa(LWK+Ct@e}8&L+gTXtqtwoih+rPn!IfV6H6
znMJbJFFf*sez24`pES1EnA-mCk!z&<{iMUg1#PdqZ#c#Ue|i|s!%jK419MpS#W$g0
z_tLhc!)qDS?UgjuwTj8`3bz6K$t7c_Cz$&9vE;>}3F~;DlV|~6C90{RL49#^e~2JA(P
zpWRr$Gdwaf6}|d`;*C8vSho1*f2wVFyT~$b&N(wz*_1qEO1l~D6nFiH3&r$0^En+d
zu`{U0{qfqvftMD&lCEzmQ(3aSHC8Gat;^&Ft;MK%2A8+@7Q3eL2?+}im0f#~$|ZmC
zVadh82Y!qpbE3_wqjTB9N7&dKnJ~$_eGR8&872Xgobs+{`h*P`2f)xaYAYn7&4r(j
z&!+Fy9XHxBZEc{=)&kkFI5xZj$Hp|7zSu1+JU-FoJcQGUBKeNRE0w3D(=0gDZ8kL_
zGpXv7UHB3eW9mmz!jj+oX}RXP;2!0;!otIo(QBPyTIxO?DSGOWO67E0?nU~*3B~VE
zm$2q2qnEtNMCF4tz;JY7XFfA-T9R!w>Llcqbn*S_+R>=TzT1M!4{-S<^?h7(m-r6<
zJvQeT2`Va@qSL<#ECP|$fTu9Rihup;RTF=d$pf5bH3ZskP4~#43HT|a;tMHgfX+c0
zLhQu5#l;PfMlVNe8SnhBny-jJnk^2uEjSR&LU5wYvl|6#?}z5=7
zIAnLm`C9&{-@gbhHVWhnH=FLIRyYRN4A1M8^b1h^=0jVv+a!s-n`!Tf%y-LJR805z
z?f3hUramV}gjZ
z)Y3%xNh|Hk6>~p}?vwG0XspW?(0Q!tOB(PUQCDy1;3E#ZrOg+|T{eiY^lHRzluEAVow8j71eI9;>F_Jwnb
z(@rBfXX1@24v9=l58eAfE@4%e$t_|SbBWKjt~jY#8W+AR=gtQ4TP7jI%ltd4x2UKX
zpVjCx=vbYd6RzZ^_;`?bg6RzRvTX^h@{H_@KOezn(L-HiGx4zh5|l2T2`z_X*vx%r
zhhv`;4>H-TAYS})m$YclNCeAH$>N1a&+vw+EIA>YuFI&|olB;9@>e#RaWllie5r;y
zakiX8#eFrA63>!mvgPb7U!54Qq#2?PZLuc19Y6Ef>PB=+
z`Dt)ZwdAf}_1n?U`_f0mlJD(M@2^WD?FA+9bG4PH-&3X9da$z&1LH%U`i{_Q*;UZu9_>%V>Hw}{E#a?j#_ale*pwmsdRA)I3B
zd?emEOpE=<`H^HNhpH=Bv_N_kqExN(}?8
zFelGL7mOQUt|o@cWg9W-Cyhk5&g#i~>uFRR`PxdEJLa#kD!G1ALq8>$5|&Sryh^RF
zyy;LuyurWdCMLr2&AtNVbT8YQd4ox(cQ*&AoAZ-3oylkK`#7|J9Ao#h8}?BxnN=r6
zsqe5P-lbw(&DW&D?b??>uZu~Zlx-KCJEC(rvA`#h{;h@lCVzguUTenD@B4g!jQ+yw
zgHA79*A(z8BY9rRc(<6m-@B-o6s@QuwXrcY-=4JkMpoig>q>R$TB9DFM
zgN9d>Z`&7PXHPBSS+y6vU;fkr_;(PyfvS7CqjFJ3^5C+BRnQl8#7K#mQ{~$CWA^;YmDE6Sjr8>YIjUG<
zj;{t{MrtO?kCyz}Q0qckJAWWrM%%9U>1I{~Ga)N$&8q9y#kChc)4^g50^XpU-gNUZ
z>O^InvY43Gw0Y%}uRM1Zf44V9dY+xi%zLEQduO4&04o>Y_@Jd%CpYm{e^u<=op%w3
zGZ@qvXPL4xQ!@RPtMy@~SmEslxU3ZAq==WjU#yDX&hq2OlzoB8>*YwsG?Mv9SjOv=
zH%`=uq?Gjhh4xWG2Y7al6>m2l|9~2&)|bBOUA2BWE&khX}P-gl9h~Vv(wXRca9+z
z?q%EQ|Hs{J30b^u;je{6Y2mNGz4d=Hs{YM~{c|q$^O6EN8D~V@qMUI6{*2;S_d|?p
z)>YQ{a`kz}y-5DHfR|q7=<~a2Nt588P%@sK$`r9wh;=G#ZsHu`(7qBJ#Ai^$1HLsS
zc;qD|->JWqLL1RDFhbb<0A|;1#Jc-v8q1L5vc>L_I^RnbhPFj@$tN2}ju-uO1w0xx
zZqG*w2p(Ccde3pYoO28D$t{y=4thRq^2Rc+BF55xMc=!+yp6kUl(%40$tmd3~wbcULOw*14e{XaCn`!hn%kf{%$v7K?G=s{W<3zq7MvDmf*kc0>s|kcf!Gd9M&Q
zc5Cql>1@l445RQ{HJ?t{+1UklV&SY{|4-kXyx*i576^Nnop5t$m1On6UEA*4wnhPZ
zK0k!_3kmr?T}_J_o5|wVu(95%J3?XkF=A@b9l|#jJ(G3y@m&2$V_daL0d|CiW&dwy
zPXEV0&e);-NL>n_ggZODI)O#*6ELd;sw@?JU(cM*)1q|8?y$!T{0K?js$bbXqe@;KaK@b
z52a#{4xrl*UgaF9Fi8}l?U&eR#*YZzVC`X|xHUyR#Jkek63>_fA4-1ZQS}&Ld;3zu*-@#SH
zoUk|AuwjFqscANVKPzkN_M4Ma-X%bWH}Uf3;&40y_ccP3-^r{~&8P1mC5s{IypM@5#i|Iwdqc@9ML1MWLcSw}O0uVnY
z@zMxTw*sly(3Ik}$;1_I-Rq(P`Fj&CC>+oeC>mQ>7Jdcc5Ieq0J1z@EMW%MV5>TI9
zt^0cuVMaFqRLfa99u|7tm-}PkY83(Zx6JtY+5UP@GjpHuh+Bby+$OX<%fr|LWHP%~
zpBOn~YGPt?HHp$R@x-LJJ=k8X?U2L6ZVyM+(WJ5clVcn5o{hL)pK~uZp_{U#GcFr?
zaV>tqHc{O1te?M0{`qvU`>*d71pXy?O!wL8}Dad;KSZB0sEQC1e7!uuM%8Ws6)w+KVw6EVyn*|%zivAHU6InR)FuurD+Fpn`
zUcUdycG(v%U#3Hg->kJ{&C{7zN@kfIFZ!*9L75@Zwpk8gxe|NQ$4{R&^YZeJNHZN?
zH6s-4>YRd=dw!(1(j3auT#wZgprlCF;=M*i4);=z-g{u|T&|DhoRN`1#mdh7To+{z
zix)0wo7({_oEwZh;L*qhstq1t;bigyjC$R>GPB%o6*Eo*G!DTZ6=t1P--8xyD@vZ7
z38o!z8j^DUQpwoH@|KtiHmv`Iv|nlBH-Ltu3E^dkWi)eYKL?9l$0Lhq8T*qqh6fK`
zsSf4M1%6!q^R+Mm1;+W!O_kJoDX{iTFuVZ;rNNy~A0eX!>{v|M9K2$(0oltwaX@E7
zMpl-Cju*QmxCpK@^+Rm?S*ljVMyyZw2ZyBQw)jk$L};RsN^g^8%y0ohXofCz{Vsw|fpGUMI*!ct)xcobJokiec-Y
zeYLDbpqV*{o0GrLcVpJqFEE$ct+bm6Ww4`4hMU)kvHnJ9>NEus;mc9%Y-~k*<*PNY
z<3D85J9!d#ki>J$)>SHPZEc`Yj)qHJF(v$-iba6d!o)2#36AIa^%i@>rn9A&#Ai>*13vt+iuG5whkQ*U_cSs
zcMZ<0Ol;IQGcyxV+F~LW
zh>pPe%5x|b8yu!|Ct!90Jjc{+nuhUX8@OCPlH0BuYnZF{98B^jC{J3^AHYo~nQd+Q
z%B72qDt*g=h4T
zyw)SiLg^26LctTJ@VK~~&B7;bK#;z!t!-{M_sfRA9=P@av|==W|4`*N-ewR#`7@gU
zqj8pIXW8Za9-m3m&!0aFiHaUGFgbtCsbp~1I0A5rE$T*=`g>A`*DC!weW;UpVI*u;
zvxITpuDaFrv@0q)nrk;poWf;t?Gwx2yGBleB2CWs_#!MMbn}AxBVl9`m>c9|h)6;mc;*~%rGV}@IQW@W)#E=fBnDD>HZE{`)?+Q_bsARIY;>J
zCqo|DDfA);?z{)_1CWzp3H9pp10K%R7#TYHCN#(xv{v+`30f~Lg;Il{LP$EfX64|A
z*f4DEaHGRZcZ2K4ajyy(DuVkW!Y!GY2!ObWHxkkiL}8K+@`^TWb;M(HQ;mMR5obRA
zut7Iovlg>#M0ofBoM6exfnp^`umd`eZ-GF|$R|d{K8fk~hs8)F+z?Sn)P~soM2yGR
zAI7{-#ZgZrB1R*AY$7gcwRl+q4w}^<$N5Yc1|v2SrDJWFKxRUM3bYLHkPdN|e>8}`
zm}ayW@R8(tE+s(#vab90(_PQ6tuFLsc#^14#K<^wJR+_%r+mT)*Cr?;W>c6tw;V!4Poum%b-p(!(iB43Y->SGTu&e!MB*PvIC{B8*GbQ%D!b{<#g(~Le0uT
z(+^4k2kO-9l(X_K4(d2|m$XTS_+)*4{-fOBs_&BM>x-u_qOj6Kyr<@s(C_F@VL?*_(8_vzFJ&(s>Y@xGlT@!lu9Ta)fKNRzZ`&-TGr$*xV_Tx*8n6N&H4tWDTjG|3Z6Y@Vz7DbIL~r5@@Aj!
zsh#Uq+@F+s63}gFAuVFk>m@TFmvC8-DRB*@D;s>JJrb4@c#%iM#AIS1s%a%iHa+Rh
zhc~kz^H6PgNbLU;h@
z?}Ixz)q^+)ZkMpyW91PXB?1Y;kND>=U%r9{*U;9^WvBSexRa;}2d+lbOZL`dDY^|b
zZAanwHLr%JB_+yiH);?vc?0SiLKg!y(lxQl*$ZwE&TU|{p2VU)U{A}sQ}d}A?O(a@
zCf8ZHa%DzN&dCD@etVpsKa{Q7Td0WLxE=I;D$EB5g5`Q_q(dqKd8+nE!wfH&Q%b$u
zYx1O>T?V#zZ>9K&Z{3+{fo!&Lk)8$<{s8TBNev}*Q)zS1vkMwMFIOr=NA=?PZt82oZ?s#b!0=t_sS(#W+`_t87c)WeglH8Ee=N
zgWzpddx&y@F*jKm)ipvx6_<Cdgrm((aV>MQB73nhx(%ca2#bicBLCnc;gs(y>LFXwksqKuB&ttgVNIM%o-Q|iy~5tO;r_lP
z)G9DAKVJfa*9LCQUNvpB)5@SL+tjU1A0=7XJ0}WD)o~p}Ghp$$=g+0K|O1Y8zlyh2se1ICNcwp52qOJ{a1p-Awtjpgg!Ue>h>ZGZObjl&wT%F1prau(Zhj
z`}=3)hKgz|0k_Cz=RAID&7K?gBfnj@*@_Ea(&W9#e;r$zcKk_w{RqBvB$uq!t(!J0
zK|(1XnwF9>*pX-H#v{CYw+@klR4GGm2H{0G-&Q5>CtAbUw@`ei*yj|hJ5h{L!@#Ds
z^s5gEPN=vEi%E7#%t}a!NK|B6-KXDN=k*mNAvaSQkeC)KIoi@1DQe7D`*Zkh@jz+O
zCj=WR%5yrL35B+AeH=
zoJ^LL;)jf@
zAmPM_4613cC2i@mtKG^5nI2*Kbro?OmsD&#+;-cX}`(2NcQnOa$;AVK0I
zA?S;GJzmoUNaW8Nj>q@c2l+a*Q(nYr284q3LUBdz`WEeG{jn->XhV#P9GW4pOB}UcJ)C;glwEdEuZW$cHYNeGdB9fvHSyj
z4&zZZ!ayO!Tj~@!SgRs>D6dle!X9!20Vko?KQ)o*_ebAn804>OE3>mF3=2>1In_U3
zgOU(=2;_-%&HC(pPwVUIba6YVD9%QwVu|Zp&s~jP@&!>ZU`@DvK)bb-Rjgdi
zYLc(7Z@JVxGU~Ea)a8SyND0LX23(ikY7%!`PcIqWp|-EXg-WogN8G=kg-o#=h6#kW
z4L%SHa0h-fH(J{01AAhZMf1P3b;EtnnF#!djwoC`q2EITs}PRD5RyLJSUf=KXy&Tf
zvm)2!+x5cO(V~xUlv||l{1G0&r2YQrVe!!M`q0*Z);X6P#mC9+-2J6icBra}x)d@Z
z9|$HFz?68UY$(}GVGNqM7s)*qg&n3Dp{e2fLfYH@Z)@N5P?^TM4WjfY#+S-$iLfvQ}>5F0Jm-
zsQ>L7{C0Pch{P^=dW@HFJtdTe0EGBS`#ruP8ajH2pM_{S(b!gLW;p*Ve76T=zk{@h
z-h2K5v8>XOoj`Z#K$9Iv`>shMtz;-({@J(O66%nhBoypN27=smn>{{E;^H#_W5F}`
z)FFXK$)h{!q>nK^to3Um76=+o1{1IItkU$OIybi))$Fk;J~DEB17+jdG}?4e7*dIJ
zL8k2@P1tSq&*1Y>);?Gtt7q4`WgV}=rQ=Fy;nACW
z_hfZ5?3?*wW0@bO_BQB`UG2jnu%|T{P7BT2t&RVNPa5ezktovB$eo^zJV1qd1Q%)
zE+`+mR7jiT@lXAvyV2qf%FXD^gmXHtT?z3z^=;`rX@mOToRHt41}Z=cv>W8lJ%!I?
z#&9a;hwIZY>g9_qS6$lv*-yFs*;K>bR*_5}ueQ{L_~+t;thmH2EZNgzamEP(F{s#w
zEEYBR_*|RVBbovYXx!P>x#oRmU#(M|`}N6U>!O2|YUcJ^s}iPml=JS8+`%YkP8fue
z!@`0ifDknkI5QN<-iaN
zd~gz2g>;%4F&!vpYsuny06y&59W$S9E}6*BUAi
zroO^PfQD^LgoKU6GoPZWe69E4iKK9Zrr7-+K&WLB_X%N*qOTwW_9GC^I;ZkQx3_-x|hE;On
zd~Weln2jq@Thnz_LmPph^xUf|3VuS4Qc(s^KZhwm!m;pz@TzEB7{dVgPG?Nx<7CjOX0v#0mdd@6dQ0kC$LDO
ze9bnmtT1~+$mdT#^=EUuUJ+InH!YG1xTFc;-j-uH`%!079D#cy|yCWv1_bhbc5UgR*FO3o1VzFEL_kzR8Uz7p1Vy^LQ$o5M3_y{P?(S}oAr)!qW*CqXW`+T2
z>3hcS`~Kd0?{BTU?!R}f>rxqE=5x;3XUDUjy|;n$Do~t7pJ8;bpd6ScNu2|*7a*%!|>ywWxi
z-f0G!>6e#B<*h!8u}YG-vc#Xt-d_Cy)qF7gay2X~hm@F%d--d4jyZvqg|msuqwgKc
zs%;%tb9%GheSGkNk^P$NhZ|Srb!v{a-2HzAyVui~EJKKS<{=+-L;|KBT>
z<^OjN8?y8ylv8wctV9?}5IHpJgWoZCh=T7#NZW7SRGDirs!UTVWMH{*wfCuFsxN*V
zXW=+YeYmB
zXfp7_qvyE`n_JeoC)j5t3*SDEib_0%4@bKZ+!r6FBE
zPul6Y26ex?#jS9Uv?r9zQ~D7E$;mFGQ%vvjAL1v8+!CLWX&J%~GV4kvij`iz@`V0o
z(3!m7&`lWb@kFM
z87VwXE9SQO!SzvboB_x>?#}<^`wRpU&~8+Xd{))+FfaHC_kVwan{v>%`XJ-HJeK4fubF--653IlqX5WgiAS
zv`b+ED?Ru$EDRlkQ_Z}Gu6DfmMg>mm_yPyY2g+MTh`pS5ym#b`%tZNtre|q@EgwDr
zr%-hYk?b?S!VPs;Nc^8Z%NRx80YR}iI5$klfTrILW;6DjpPbD9%n6ezuqnyOk@Q^j
z_k4b+=r*n>fb4sm8OLDggUlCNi&KwjKyPe}bWs|MRG4RbRpZ_TdQkaKivL+~l@a1m
zRG&5uY<(2{k%8r2#BaYv8HOCqQY~ctw2`{2Yps&t+8s?zO_DdaBczYE0#7lG=)Wsb
zi9IW_K0kjnFmuF#OJu^seb90Lm^6sE^GoN_%;^=#JU)@Pmv>ksS22|zxmi0rG|(m`
zB?UX%9XJ?~BC}~fKOCoaY{}*dJRY#Mw^y87;3f{1d?`c`&&*Y}Fc$`r`S$xBK~)D#sXP-wKKv2o?xoSvq(_P|=dJ`Q1!?1Ob2
zmB7GutqOzUeECFFUaV68KpUCp{udMq<+c(bfcnWhJP}6D=5~TCL?`Gw$j)7y?F}a~
zAl#=7iSTiC53b#&V>E$+`hsps1osG8ShC_Ng^Q+;ywxyuZ=yD;fo-*&oVzTLUW?V~8<
zB_X6nikD@=U4*V^R=Q5fIg#`7^Db;#*D5`qoK4GmYrZK(z%gTPZm!N{P0rBi+ZC3h
zont@PpYPY*duTm37JRoS850d+H0ho=GX{MBe)Rz)!D5bo<4^XF2agSlV$q-CS8_en
zf`xXtAm+NXD-w+ekJNYHvf2*H9oPI9kN4KmWAa>+S6CGg+e;oUYG~j`w_R*niI2nF(J>Cfzmv@O^SS(G3v3D${s_)e-lq=&#@5yA
z9pr_OD*hDZB+n=G7(OaAD?|DFs{tnvyKD>rAz`xT9SPNbS*Xr?@3rX8kK1}}eoa6T
zuGegj<;%OzJNFa=5d*_XkQ)-YAH~`B*9_q@zyVu{6z;yGWe;yqtZY5h8?$%){Zkh9
z^Gv2sGFzk3^bG5K%=dAycCPSZ=NFT1RqVFP;{ZfD3U9tTe8#lc1M0G!$5DAkGsQP;
zkgHq!8o3&)%sJB*v+B|`F)i+V>&Aa2r%u-;`K1(NTOZ_~B!6yM
z#rnRkrfbYJTDVfxGL*l<&&24WCf(>73R2CjM0!30cdAm>O$#Ahhec6H)hmR7Gr+vEx>=(@$?3cz+$LdSygP$zLT;6q$-EaLH-p$gZw}Df?3YG+x@H}RJ
zvNFJZqT%nSs`hr{fdr0N287p2#2j#OJ+0ebH2(XeC*U3Vd~c?#;SKh>g9Vwz6J?c^
z!(+SQNTa7cCy!EeZrf`X1Qp%+&GiTiAO4Q?-grD&l;%e$q;?W5MDNJ<8XK`h%kdcP@=gw;l2sx=(7tFb(ki2uDBq!Xw9*e(q4IX>|Njt+{U31GxWKuvGCy
zz522>Tk|O{B+>Q+*LqjBMM;5jmEj_FxJSC==0#e79Q#3Qr@afqhKO&zD6|3!sv%GWw3s*VW8y63L6dXKPSinKi(_8)8~a
zV{dU;j{ox0DaK3JSX6$!12JECE*+3bRQJtZ
z&9YeLk}>x-y*J#ZwSD=<_%tQp&wIL!isr5UfhU_WgBy=nE<1yIZrziWqbAL7wqLDY
z@w!O>Vj1p()2_uctJ}X;n}4!$&bn)`BwWHREvR%VO7B7@ExY$1@@C+gRBEk;r-Zj#
z%ssX3$jQQMqLH^t49d2?4C2pxQVV`g8Y&gg9yrl8Y>|408d8B>4RWE^{b+u0DtW%3
z?$4aSIkKep7>o7pG|SRLR3X`G1Bqz(;za|(FxhFD%W1Zy%91GDg|AF-@*{oX0AnKC
zxm17!cN}IIf@VHJ)=@vWyX8!Hch@B^x5~mjhP0bRTtYu(;oK4KT%DvZoP)zLTata%
zJbrVLrW1X6M4xJ!Xqm5YCd%{i@x|n+Fz2MSbJ<}AiNKi2k+flq%Zd++XDl?OL^kDr_cwD%7TxCXRCOrf%(xL0p?
z>PS<|`f@%v2S4cVXOR77q7p6hW2`X9JpS`(FVnOB{VOxU$BmHhj36#E{1=m^u&^!_
zCKcs7OvBNg1BPi(1BuN-si
zp!SoyZ?1WsS(%7ng(r;rAg-=DQc{Lkq?_lhF=t4{`m&kOH04?!?nAch=y-c5XjHA0
zKhFmtlZH3EvQq?u!K^z|qRYa41~ueJfF!R+LEoeYGP)Gd@OFOo3$1jdodu@_~^%R>|gH*3ZVl_xUk-ZcH^4u;uZC-C
zy>fWHcg5tZ4!hQuKjZ-LLRT3h1hVP+Et425FP_3thZgW%`&DYu=Dh3CYWB)!0@{tb
z=VIghcPgW!4t`|1?)Wz}M&w5zhNmTE1@7^v2i>MLzQTU%Q&D4MVif^%mKSuVyl$|%LiOWy5dP?$=f9+QCT%j%XHLp%7YS!VS`
zdf8@TiDC_WJXmm+=Ju2>2N$h;vTe=i`;{lVj>B*0RCMSEI$VyIsG)F5oEvg_XOc-?aU0hPXo~Xw4(+C??dTxs_fF$D{4UGakpv+R?n0-KwiEi!n3QHhf%tHuwQwqY*
zO1cSUTQE}lLs`#ssU~qd?n%$%9Lf?0fg~qF6eno(W4>w)P%a2kkqHNv`|}xFwgmu<
zkO`03BkK+^;5NgktQh0ir2$}FIwqV61#p%Oz*)0y8VP3I790*GY2!?T?G~0-o{b8L
z>eVcRVOs*P3S!4^LaVp{zEwvaS>Rdg#q?s~maz4wmQk|VW5>dm1*ruzrSyL4()Llw
z1rEr7mja%xJipEFpf1fQrN$(UW5rbY6$dL^4!Xb3-LRWnBy3=@mbOPvhv+XhU}n0Q
z$5*~AYHyLFn#7|oJb<{)&8lY>{`4$4{dvm}lp_Hy><5uaSE1;=k#$e862=P~p(a1N
zK{styi|&2fDk(D3mR$R#wlvx|be{RIn@jIJG52{>q+dQNF|-9IRZp{oWh1RQ4wY#=
zP7_OimooAcZP$wzS`m28O*F51jbHnx#*4i?+#tE?3Iaap6VOWwIUoKi^sFX}Ya{j!eNO>&l)+J|3E
z+*X9g^6%~SFWG47#G>vc4wXvi4oJN_0p;el1InEvz(0qV-;Ta)n&F0spufoHg`SW-&X)`wOH4e83D=)1Ktu6Jt;L
zUFZkAXsw23+XS_j`WpZ5>Zw=8=R9`>-{>?vMOM3VmtW!hRMcw!@zZ5LwD9a%_?iW)+o6$ns-n}##t&7iCsIh7Okd>8`L@7`UgQjT{IbiS=A;j_R%Jc*d
z2p}E&th>(qlCnAYW!y@fsm0{i^0lR7tk;~3V*~itW?F(ddFRP>5uOp9g}b`KlEE^Z6+o{8?8>61m-u7X*uQT-!71Pvc;_nesWnuI8|oQ%vY>%lo?GqhPWG7
z)(eC{a*Ms6vb;I)iMS{}_boYr(=p%sk4njJ^TxX#G}{!~I!pegm%ZPaZAo5xujWV}N-VW8t;q?wWHyf=~Do~wxC7EqtK{nthEM@r(l
zQ5e^TfF}p|{xFxJD#2u;2vx$MR-J3a|IuRpv`;EAOg`6i#AvtPjPXT$jvbo5-JajQ
zG|p9!mUS;wU{KWZDCE)Xj*F$``T&*GE!jDdiTq|?f%S5_I5IC4piJG^OKK7eXFKjMM7b(!3q2YN7H!Kfc
zkXH1x6d2`)PO&Z!)>cXn`=wutquh$hb3Kg*o
z@yH(?I9)a;LTM@AK
zZTq!dUCVv9fxVMbm%7cEN2bYq?nJ`~~nfEVSZ8fYh${d_(s
zRBI+ac%UI4(?EQ%F%0C;)KSsuICJE#ZRy^A3M*ZW%eIbbJiFQDX4oTiUWdG!{QBew
z#dSshV5Xy?EK-yLull0{W}!&GS>X4%j)!nNik?D0MX1pwvI4D>_yj6-@!CfhKSrq-
zuN2wW&c~lPuk_UaSS)jF6ieNI5=}lHchohxTV})<;gtcKu2gmV-A3fMJI*suuKd&i
zAJ3(=UUvx5oG0_*wPN{q*CXw+QJ;-#aYSMe&L$w$vSxstttvE-cd*hrAV%E6m1wHf
zCL|qmhsx7R+sW*vJ?Ans9qpLW0+=VsHb;NeFPl@46%zusWQw!D>$8qj|3&r2K3>e1O<$c*@UD|7m7Br*!t_Fu7w!9BzgDGi>M*1@2kbP};NRx`N
z8TY?!0}bv=R$vQiA}I_IJouryq?~hmz-l8=UHJ>#$#y_xnDBXc{o=rH70>QpzkgR~
zyDe4p)bWq-lv&EVsjxL)Wbb*13aHNSvDS?UpQEd+OUCA|)JKDNYMYhSt=r7>X#RIOgu!(UEugwe8aDS(qwi
zcKR!xNKT3%M)zRASw-`6%k38iypb>HSuZGd`#QPGK5b$r)13Q0{J1anId9IE4s$1~
zeJAGXQ6VBg@0eZw$XsUkE-9@szv0nQt7t*bDT$)In@3k#I7UJCcL<-*$u~!v2MHoA
z$=k(~nXmoS3W%v}?mG<`3cDSV4Nofz30NQ&4eo6pXD8VKPu$$h%|bq4{;^&B3qZ#~
z|55m8`Hq5SRyY5ZTeQeb9$UElH!c50_xc9ulf#9>W7KiN_UU!ay@N|1qv?Zmblr@A
zre);5@})p1>>zbPpxo0)&6vHcO~<43J$bHBp|bqhpsh!Iu{g!(KsJ9X1?ng3NSHX$
z-oaHr7pKq!&7TbuhX*Q&dce!WH`gnEqW;z*CUxtT_n$0k$YYjG$GKSCR%&n+iVAIbHm}%(cTYyEZauR|tD-{!X<4Wq~
zyvKfzKl>@3v{MzL=V_xhK$rk=43pTEHw3J##QmhsvglP}gGjM{0Zn259n0sABnKPI
zh``3Rh+SOAaxry5?NBdj&DUS+>BkBm6EvdVwsCkHe@DD|c2Maaiu^ozI>47BdAO$1
ztW_soIW1MZK3eSIwZE2fMX1~_;m}>1#Vlox1~q|qzP)ke@3`(pUIT{-pkmif3k(Ss
zCNgfUSs{??=;%D_1m*aT-C{7#)M)wSIl8sRdrVZUu3z1<8jaBJ%5`b!prC5NA-V{q
zV_^-h)uT9?X8Dfp?_b=^S4LSnGr!t~YO|$A#!H2;(#|SdQU!%@q;Z)@@?Gnn~{-(_3M0hDz7wxa|@zDz#)JOap
zJzX{?b<8!#JYlovf+V3Ox8E^Hh1jMWr5iW3Uo;HQVjVX6@{==glur4LH2pv4i75-1o7U
zdd=!#T-p!H=}$bk8`hU~n{$bZ<5^UrpWjjpoR*Q)k*3NVg~2-A114MIFs%T4*$C+Y
z^U^)AXD8jALT8qU!x}AE;sJOSw|n+zy{FQ{%guE1BH?=!L7{SHIgQvgbR(LgL`X`9
z9&>G5`eJAp`0LWwoZ|v$(#f9lLA_t)leYqEFY33rMVp2Tc`JS%fcUDkcxc4|->Isw
z)-MOZXX9OZ6l&vWdm7JwifJbyk7LOJG249nelc)&@x$>q%(Q!%dLX;qaoa0wMwB4m
z8-O_1n;UDQRR2lxG=_!6M7r*YViGhU9{x7iO0lO(f{+
zrGbx3$?IK0Xs1qZehwX!Y|u%P*5%T0m|kit+EZur)7|
z3fzF_EFQKN^Lzq0-@T}R4ZG_;%OS?LBgfz`oGp~jao`nB~D-6-B(np;M6e{_6F?6F=N#R
zpP35+?R~Wp>qUww@i@W)ZalhTrYb5{rMSN3_o9&j|I>=I@wWbn-T-U;OX=Zl^Zp6Z
zR>zGTM3hz9vr`cC5i?B>2OR^41x?h8)WsXQsrVtN=>-52NmWF5<%V9cK
zRm}(3e`l2jXDq`k1^8D6M5CnR9=gALe^NQ*e$x3-EelWNK=)u9Qf^&y;RQZI`wiJt
z@Z_GRsoyhgC1pDq&%>4qILvr*EC6D>@*ifX}vqe22*{=u|rrYa93njuw#hdE>
z)HEeiXIm)dwO?Wr?&j-BKS0F4a~lwdX=YS7t2{I(7RLcXO=cja*0g1&n0&LObe`?`
zng7FFNWH(AQ)t7h6TVJKoAIsQEU+!1%?84g#tkmKZ6tGGt=Mu!0z)h9*67|_L)k>7
zqu07)mhStqKsTFHl&79AjN+)*cji`3-_K#ZcjoVcv_UTr-j70;ab9JEn6Cb
zRqc~shNehhSK;RizD=S+vtg1U7->E$CYVw_b}rtcuSoQr}+qdIm#ydT+m}-}}UW5q@HN`q}r@_YZ?b
zZQ~7ko&uS14H~RW>WlXJ=}#xFrKpzQo3GHE%cu_2r#~0cm>MVo7s65BT(Gl(#g3t;
zDf^uv^zJX=sMbdCR#U+n*OG3Qljx@Y^~}3H@OlFk(j}{nwv8f~_+rY*wD&$aAOL>4
zMDq+Y8U(~%H)2Kw&!zj|xhCzAn;~5x5;7{3`y4TT8iGJTkO>zy)&5X>Lr&?eYqA0=
zT0o9F7Ni3zDQKaR;t)tTkxuS6LVa9P>z`}7@L%5E|dC1T~0@I_d2omJwsfpT3g0)9(l82@0Ek3pK
z&ceVFqpZ|InnIuuV}Sy+<+ZGb^3?peP|yx9s4nucfD(A~6WptejMZlY6~}>X>Yhm{
z9C5tqn$?*X^OqGFG-pmfhW6efgiO(RLbWd99EXaUt>cwLIx1ZF9%$wBZDRdyf06sN
zGbP$mv_jmS*0fS%7)0s>?RCqR;n;pFrp@>ZBNExi@t9l=DPOrtA9E?ah26LSQTO5&
z+5W-hflhJ0uTqVNc0XqlqYGgDZuXta;g~d@rzRn>kwZ@`QC5arkJIswyCgnW*cz7x
zI{ww^KfNFRvaZE4e(sU)yG+gZ!u!gTboFO}Uj33+6Mq)6zDB#rWux0==ihpG
z!*Jmw&WOxC0@;QGNxZJsQBW$3g{}qx?m$ItGvl)7?!B=>*27qq@v#yWN{vBk3P^Sg
z#7h5GM`YW=4o7{ul14#7qe#AQL3$aoA}sFw9R5oSVdp$qm|W3cc2YI`@sNu^Z+|vD
zY6C2c`f_tk;~{T}@qyjgu&^=J`0j7xvXsoHI`{hGR{7Fk4J(WQ4VS#uP6o__{ndJ;
zCs+sJ3(;mTe>3j{(V}+jgD0`_SPl=?L3?%248TH8J%8)^+Q*jY{{a
ze7NQd+euq0L6GWuF$e`=tuRkCH;AeK5hElAsAM_0<;QG*1B{$PxL8#iG){V(@0z~K
zGq!TP{M@D=n3SM7l)&~7LWL2yzd4dd%+?Cp>uTgUC4Bq&MY?@-5v2P~!uLlnGW2L^
zGV=t-Dk*WBCj}z=J|_N6<*4UnXj&cdT{1d{t=E@D?EyTHfbr4+VRvrYu(*n99KLkl
zorwj_%jloGW^*2Jg0yuxIaqpDxb*0?0-+BYpjU@&`)UI9ql32mH^S2e#0sc%F~dnO
zi*7OPyAJ1HcbL-~_bR=0k!-5*ow-<26fj942&3(NG$5?nG+HGRHv=RcNy(W&S5DRq
z=^;E2fI2tFTDpIkVhLGfT`kkK8)-Q8d|vc5-{Nu
zmyoc{Yujv-;=-s~J@_Siuk^PK2(-rY$BlWh?=tlTwF5fmR?ytWv84M`Z_JB2)lRFO
z`bRDm1eIPL7Z%v@c4}s0-MKFOvTVxwfun!)VfYIy2b-?@M1N0&&!u++E+u+0@XOby
zXxnh$+hYhy=Dzv#KU}++=d~nV-Sj5acZld}E~^ar^Vd3D_}vXPTJxRf+el&e(7rd%
zcoNzVQcXqqtLzPW2Bfv0<`q})3}BjbXRmm#jNT*J7)yA}H?CPsf2OXnzRzkQeNYbT
z)W~?$@#)fo(uewB5Egvm+#{bm$KLOfd>nP00&121C1xITe;!wSLyosk(G_erR1D2{
zl-bgXo%{7y=brEafPziF<>U9FS}eA7f25Okee{x71U?F}i&N6Y|+p
zE&HAJ&)oHn6=>D@4b{^E0Q;>+X*YU#(4Jc!EoP5F$1(ul@Fi|(xc4HU+O`dN)0&gP
zB}SJ?Qe`cFK%vyyW|r@jh?y0qvmil=g%l5`H69Iqcb6NxJZ#G@q8iYdFqb(ozigIW-=wOH
z@L}`&F)a1H(eUmzrqVkc~UQpcVfOMEaclG
z1*;c6wVdxkgWR|RZII|}*no)+FocW2(rjD6YFO{|bRgX?zYcIdnNMlUl{L4ny)Cd%
ztw<<2uhr$GZWrQiu>4)_bdS`#CW*!{<}7k^PT$>VO=Q4cT>JQ@AbZ(wLP$ago8nwy
zH2G(_vc8gEwj0C>1tbxAMxIry#79*a{qG1^&H2mLyVlkDfx&-ViVPR+{JXati1*ML
z)8yQ_Cjp2@@r=oSz93Ftj-AxO%$jJ=fuxfm1;3%
zZ4fA5Yd7UzYsG{v0xGC1YIh(h*-iX}fqnmD%h6E}LiAl(1a!4H^?
z_{8@9=WPTWbt*0lvX-QYfRM{|2b9Z%dZKqIS=sf-j9TU!pHXNIWpu^w*fqtP7#%<9
z0)X&Z++X-ZWT`>Ny_%%8x9Q3+9*6o!4J?PPZg=KeTN-d2D3SN
zcjTcv0@l*|M{hA6o}D#vq55p7sF9lf*<3keEkX~Qm#5d~5_+N^1&`b$K@DY0U-xKv
zxv;6VqPLowgBG4b?`fV6^nT4q*>C(-&Y~TwPiZ&l4XEirz5s*0SA)go8>4T_^+pdR
zpEIpqyqqo-Dl~H#8`XB+k^SztIrk+|%?oBYzUaJK(C}Ck{#W3cqbbC37
zY~-ySN(A0a3J~ahb+6u^sGg?O9Ua*gNmf
z>^=}jR5F(pwdppiY%#p;1EI&ie62VxHxS@)Tg9rEZ{8ga2_O9U<>BwKPJeQA5`}bH
z{1dGz{OBCkX5M=Lz86=e|JQspIR^*)F=nI0Yr{i*dcYfV9aKT@3XMu%MW&cMLY2<&JPfu
zVqGVY|BaGtCUdG1WHAa*g(%OTHYK*q_-cE33zfi4U#l5=;IU4;J$Iv-L;ltI)Mmv}
zki{Cz6ypWiq@puNkqwl`{hIpp{&V-Lt;CA4nR|LPPPw&C-t5*=={wBFeRK~k7ZN0Y
z_DE_d>nS!LCje-HDlRa>(3N7qRent4y8P!ADeZ>VBD@y&6l6)9+E3JNo?I9x`&=0;
z%0DghJUOT>Fn5a!L{-6+Sr=a=PScd>1I`Z6%V7asg3ThdGui5mm
zCshjbPfOjtx;yT%q+p8WUfBuEwosopTu((4cIdUSxU`7jVMyP$rF>E%T@?tw#52u
z&_ydpKp)iY0Q@d6IKFAa*lK%jib*{B-^DEa>)M0k?bCEm?3#9Fw`~1?iod)x@DFMm
zhv@}U*I7j-0)ogMNp-r5whWQaEKf`H@b+S~J5@XI1Hb{Y1Kk{1cY*#|+<+n!0Roh2
zjqvgMCCX7LsKd$F&isjxRNJ#m)Awm}{@``wIJv8vrWA@iqaPG8L=JAB6dDFDHZN=C
zfcgFknpU*m#N_6E-5N-`c-?BJdNZ&Br^I{d#79kDvN3=q`Xvf^AYj2QTPL
z1}=vLdp1Us**znh+?!L@fJ
zikcGr!=B7`whRVSq>Jq8vF$DWuQw-+X@og4u73wzzfW?67|at!naRQ$<;nLjKiY1jaTwt6-p
zonINR*MIJwYnXoJsJHisN6*yQ06&$=0MZfhlI>|OIl*qLw~bmyio%*!j)A>Xi&AeG
znvXxvg`GJPfUfA9*ldB$VD~L!kR<3`>SIoTtbuu2+0_D);JcG@SuxCldSjqzf?gXp|xNKyzd#Giab|FZg$*3bI@;Q_vOEXuh
zSthbUz$@X1#Fx|hO#mgexHyxTt?3cwMx+sb1OO%b$;A!E_qVv;h;2DeMPK~f`<}$(
z?yzP6$PLMrNDuLL;G_c*scapyZ|0=66^7Jzw)Bn0cY5YWiULj7np_rGeuhpBh>1rMS&6C
zok^YNVf1fZqdIpuDF(JJ4?}#ZW1P>Ws}pTMIs_dXw$WU!R7or>ueUF040w0ZJbbdUX{*~^}?mQc3T)v{~^$q@(qq6)AD
zLbjY(sc?&^8=5>Y*}0N+OXtNT|wb)WJxAjXe=SNVhSk}}YjZz3QKH2lXaNcAG#
z2vp+4F>_hlleC=bzl$t?-9CQ>|9rb9u88m6$ZmpW3UFRMAWM1UH9cE)DNtzLH`+?{B`?-gFs77wJs{mhb7Ob^TJR!XA=qV7UW^Z2(+P?CtTOI$L
zo`X*EVfRKz;T9+X%9>ncZUT^v^3erdEC7zJqs`lxCZDwex@zCfr18S|=*`@HWMgyc
zl}4tS9QDRa*;gk88!C>uz>{IZNjHkW(auq9)i(PA_w)`li~Hg|2<`mV>keH3t-mo}
zo`ok+s-cajQ4_!}Yn!QGGMaVQ3029L;x%t>f$22nC-mz$%P?|@hoD=HfgAU#GdXFa
z7)VkOL|4iRC<`i)C@qEx
z!1AU1BTifnaLYISbQ?X|&1|kbg`gk<5ZO!~gJ_N~*YQVHIep7cOxCC~*{%7Z)MAOS
zMojS~azSTi2xtJX`JmQk=q#`kYZqPyLxht?|DVSTpk0EiJ`}i`8WlsZgBj4}6O@j9
z8$(;rEl5#}&K`XFF3g}Mx4~SWe@&wnVrc;TY9@eJWGOIJYQMe
z0C~zirjaPlb^Z|@8NA=yaq2B9opZh9Fmc#)4R>fF8KjH=&=&LE>-B99^5aRre{lc!
z6!pRur_4RuHYI&`I#QBUKlxhMTudC0^dm>Y^)7*wfs>$k%#r|&Z}Jqe6BArt9TgUe{v60FlEE|TJO;G3uXUU;L0
z`v405K}Gm)W9T8C7rp#>y&){f#ktIB6ZV*fh=<6O$oe@$Gx=9L3~DQS7SEX0(X>_*VLhtT&A0=n`YMnA#x)>%zr_J6B1wpE=v
z0v{m*^Y0A@$bkzb(CWBaPv`MhaWR!hFU15tl6ksliEFK3JsQ^C(m)6%p?J6*H`ujJpkx3a2Mm-r;Dsj(c;eb(a+Db&b`m`kQ;TFhTu~-
z&C@w>LA_-3G(RiOZ@hgBg+Jwi!ld_V)z~10et8J&y`ufX=j9{c{^x4xBR;;q?n}Xx
zk+9bCaz$m4oevpa%hza~f80E|IBFNS4LSRN7>2uldI)!%-sz#^it352YyV{bq*`I>
z7PmUchBC(K3NkBLdp3Fw{&85Hd
z2X=RiLn45lCo!~AZ%tZxo@ojw3Tgq~H@CqPltqnBT~AIsJg9vHjzxs3G=~X1PX=-Vq!q_VAx;IawCu11pSND$hGcS)bPY~My
zg~R?^uD-8uME6Iez(Cgcq_#0fC%4=0WGfW*zBn4^b1u(@FKOHZ*E0j#wwl)OV@Lml
z4kpysj@BLd817(Q!)IUN`EuUIOWntD!y`{FY;0W;K#_WEPU7=@Dlg;nC!BYPY#vaI
zz6bcqB=ACh3ykP#G^5sSh1Us^Bi#~jhLlX5RT?0KuTSwp%oIB}g^Sy6l~SJth;J)H
zcU}zPWyP~;_hUTJG4hn>3*OCDqF=`XC(G-eDC%VnXfTEG~25S-61A$2RCK2^gURw&RSJz%XRO!=xxQJ
zq$lPxRlT)CLh@`{Wh3)Vu6&LQB4D#NYyI)CU+=D~EhG-Fj|Wp46$x*Bl{#ARt>kQ4
zjY-?TdHA{g?(GXm!W6_iji#jlO^2_GTNO|TcZewiiJKZCLH<*&d(LQ)!Z-~%Dyg6t
z4A8V~KA!!U?neVhx^2;xYoMlU
zpiO}-h?#~Io${t)v`n|wZMW}nRI^lp4Jw4%;h*wZ^xeY71r|8WpdxRet+3V&sfO@g
zPuHurjc@xC%w^Hq4gf72qtrB5;x*=INjLs9w3XZPB!H*YOCf>0161S?Gj8D^Ilu35
zD!X>Nv77SVT^^JQ=MTcn*q?&`Y`~79-KgQ#=BiXlOzBSeRA1;nGPEE_-?5;{oIF5KIxyRhhnLK$aSxql)ZzV)ej;
za{`AxlPqkfo4OuM?nc^DlLcn@pjbHc>SPu#FOK%K$b9!lU!k?zPvWP_baTM~B1x)=
zPs?&_tFGYN$Ej(Yvrg01WkO#tVn{G>cuDcTPX+f7FwX$k#aQ%yVF8Q`C1Ajh>N#ih
zzGCyB@VD`!nEbZ=<6iI|Fzj+z#Y$KaiHzAR69-ao8Who;{UX$jSGOEka@xR-99Fe*5JMFw4p&_Wi+xW-q-pj2B`&-u4~Q1i=2MQmSv}t1l&MwM
zo;CT_(AQD8SHBW;Z;iHXm6(EBlA!YCJ*tsLz06U0#;2@(R?pm@Pl}`)wN<|MEg_FB
zZj?k|%WkmtZA=~x707Y>e*JndkfIM}nSNbbZ4a%iunt^A1r8;1@Wxu!I4UOAjl?H3
zB;eZHuvp&2XAdi5B?=4r7$kn6YT%5=K@?TPLWWE9wOY3!%o1s2El)}0wpe2|#=x8G
zKXiN^%{0jKhDTPY?;xPnZ+56@Sn#OMl4ma+-L~~Dp@t|+Mo28})pZJ3hI88T^ny8Xhv?ectk4@@DG_KOngzcPsnmswJ2fmo;v*R@Yko~z{-DZa;iVvqZFM3c$!l;bi6Hp6p1V)ED&bVZC{AK<8krOAf(3iYcy3dk!K
zMbVd>1K}PQY99BewJPsYJREtZ&L5S){@S3iO5Q56K1p!OtfF5mnHsI7M!icsOA~xU
z@@n*b2I!U~aRUxX&~kA}$ugLR#xd!Mr1d+j&5RH_d`oygD<|hs{!u2s{XH-Nx(RRO
z%AZ!Wq80xbb1f3aDJah%A?M+(H+}lUtXii^hy7-hJIVVTP3o7Y=PCp;Bq?0QI|oav
z-ADTo^He{@v|ir9ILf?STFCLX6P)jGB%*vl5-4<6wW-n?N1n9(%hbR(8iMP}2^sRm
zqYEp&JL1K~2_pB|biZ4b8h4lGZ@ZF9UVZqZBNmdm`eY{LDTHD*s_&QZyQ+OBSl^*3
z7!2C-u1(*UJ*n9*p~nxSAno!g<2pH&;*0*mJhyVLo6<18_`-E2s`G~649X^=5jK2O
z!y;WVkU`V9cq2&j$*#C}=CA*Qsjm*J@`<)41f-D?NfBv~?i7*kknV2q(2b;|bcY}!
z-Q6A1NOwqgH{Tq8_dfUgQ=h|m=e)CL$J%SnehV?=^Nf3SkY+|U^!e&haK!G{;#v|Z
z`TdSf_H4V;tg`Dbx4YMaQqRc)uy&;2UXyp}E1x^+l0o1st*wc7Y0*4%I$t*~M)n)S
zwQZe!-*Ycr`PI6rNOz7F*rTKR?YN$cM{aevDY?89)4ZW4Q1!{wE-P0al4i%aK9Vbq
zO}dPAsc7CO;d;+j+<5(d{kBEMrtcMAJi3u!;xTq3eEX*aVs8UqGs*xgk+dYzy1!8j
zNzRuF@)V34TU$9aC=Dg+j=bxUwVK5<2PXjA6A6)!OG0@~j*VBWIkT_^b`TvC1-Fca`D(+{|uiG=vQh5aUB)qe;#mDn>QaP*S)ZRn-?
zkKS0kagG+vJF4a3%%QDHxt`H=!UzL0A)AFZdK;v>`z9F83t^@8X7`Zrx4I%}26h$7
zyawtqGhd7SHCSM=yP=7qR;oRKH+%#=P9rA
zlMh9hbq;pR!~-n`UZeIi0$%P&5>Hk#iy%Y6QO$svx@m6+e23IFd8BtbtL&)2RI
zf)t~>x&Cx|2}9N0_Ovmwb~TIYfq>((IkfSV;&PgrqxF1ev9lm{2qR&J?iaJk>cj`@
zE1sLEEv(_PsK18~+G#xRhVNk!4z1iXJ^kaA8Ezc5nwe%gd<4W}JSwQMYDtaLYZKh2
z#shj<$D9cw&TqJA!Ir-@`u)Kp$Q`9Ki2Vz`2pSc#uc+qUub(^eALV$J6zf`DVYg<*
z#KT|Vt|0cRphSFXQEeq8=~Ize&~bG?@}(xytm3(EI??ey^o*Kd4W;Frd$Xj5gp2T4
z>qgH9FT0@8n&Ok-6SGh7;LzkA!ndn-fs#EwWEa&k@@fhjH)JL_-(PR~+J7I03almM
znPc&FH1sTvZm5d=C~nt%bb3?IV8suX03V%bU5$jxn`rv!^LHaCWQJfhk;psWc7-))lFXU?S0#i=v
zEagi&xu#15N49sSbcmlfT-!cc|4ce-AerAN
zG>gas-IvYtxs$=dVAtbqXHttLa_LU+W}lBq()k8p`Ad$8&rxr|PR-14|4}Aj2^XWl
z2!@AgU5@%4uRXE;o&D@5vX>y&$hY<$mQ3kg;!OOWY(i{HgZm<@mo6MdNAnv&GcISQ
z5Pu41?o0hMPGD<7n*{JEU{g+$i;!i?Hw=_iFc5W$j)^x$hRDXV5eUo%evYR_{H#^u
z^`e6?JTcjQ8r&1yTKes>J1z0-EjWtBl9*Y46jkG!nl72*zqG$*WMpLN)hhn9?|i2(
zBm0~MO%maogcgMpvU*9%3m*l{SC(t@Ntw~n>N)E;LvQA3Z0%(t>SL2J7WR{d5$#B<
zviGGnnblqEuB`>575^NZd^JVF8Nw(TPU%y#S~f0h^?PXl1Y@d>a{XzksIKvsP6AIx
zb%v&{{gLeD4%9ao62wsIi-felEoFUU6Y+;qUv4P%&$aQB@o7Xqk_`2iRN@KW8CaR#
z@>JqHQGQz$71FO*kB;$neJdy95O6M?1f7iztBi)euQ%Sz@Iyl)xuedJCmB8LH!Q=f
z{=#qxEggDavGI5MLk2=*2$59$-geB+v<~v(A6ks_*f&`5a4HQ0I2U))Oc|*@?C9WK
z>(t4RBr8Tr`RY-E%kp-$-%G-u
z$(0N62#b*gYMoK&zS)&sTAF*geKKrLc3k22K;S8Og)Xo|(i1A{Y}t|VWB3JluG0J4
zt2EaJ@96vj%i5k%5dNjGVZK&PR?9eZtHRJ$akGgqDT*Ts
zAG+40kAjL*jX+m#o3)ArIxyasi&QJH9SREd9f8;Cl+WbhzDrcA*JshOq|pET9-i(h|w
zAoP6U&il`~Y{WprhB`1#3oCFLL89>|Dt>2R!cwvR&FxEG?za?bL;8Njao{Bh3Uo#K
z#>%!JiZqCov(z*GmPWgb8)kfEE6~U2WXIC0IheO^l&t?bE2olrbg*?EqpV+T#M}tK
zl}V>Bj`aJyTg{j!#g$5i)4|&5Ao7f=a+e1U%EEM2AeVr6g8=Dh=fY%JMxK_lgT*IG
z;33g|?PJ!QTF%2xd03gOCPKZ6`@dNHZ?T2zNXEQOPjGMEJ%kDf@|nPXdl5f>YHIH_
ztTHG-C`pFa08K4_xDhyS@vcjcCCuKGv|uEn-jq6d
zUax0HiQ~@%4)8M1kfG7+Bi!rg8eTfz@%me&Y^SiV9D=iKZ`iVq_50u8&x?I5l6hq`
zum*DAYpcDIA0>@$&l7wocY_h~KBD_%JsgQ3m5d~JxQXj-_z+I9_NRqOve+}v4EX66
zs+@$7ZxKNVWw*RghZb_@-Vwolq+ZSNX5rb(c)j=FQ(dZt3l@RTF8e_hv;_mO;6d6R
zoiOfoGo26|d9-PAHy>-iE!?q1iq=p^xl+8KmAQP^_d>$(GJ6TTz
z8L4mKa(qQj?m4+=Cb-EjG&_q%O0%UEPbBRcYKazg`!I-DY3%49zQB(9WrZy#G8k8}
z6wa?xr;;!X6>Yd(2_9Oi2MfvN7*NpZ$=cV_R~oL^_;5&Dc*?HRO<@|k3bFMbp|{H533Zp3GmJ4d~?k1=J{L|JaL7)Zcg;FlBD`arqxD}0e+u=yi(_8NEHLIMcxwaqo&jqN*3@=rdaR7N#wSBAJz2B&QW|C
zG*dMC1p>`_bly6LQj!G|dgT>n(8+2nDBXSf^C-w@Af#99#b#PPm^`JF!N60ic0FMb
zlCJB(2x5ttx`fXXWhvrf`${}f8rnn5)_C9rsezZvC-;I{*n3?a
zQB6WQSS&>NrChbFzkh3=TBO}`TpnA8FckX$IJM@
zAb8H->e$konn7WG!F9Y`Lvg=w^DYcSs8@?6!Fv{$;tG$kEvw7B-{IG*1!Zogk2;YJ
zR?ppHh>u8oHJ*>TJg)UiMqtLt5N9Prt0Inn#{NFR_iGh^pfw+Vs%oj
z&3g+7JeHVId|pbgme9rsr8IWSlBx#vSq=5AoN%!wbN)?zWQ5(+J^xfiY_Fy>mD6Ll
z#=0S=-l1hlby9wUr}K5XF!wopJh5U0;Df6JmtalVol$di+4DYaT(S(H2HT|adr|V
z*yJNg>eUJrhcMQ%dcw0Jk>Ap-uXyydkE7cR5sKb?9HHM@T$_%{@AqJ!qK%UlaYY$PK}<@E0bWK+32HAV8rNKfkI
zJovKnG=&V6h3I`#V$hT$gN&lo6#LkWv&e`FDX;xza)RrAZaR4<`4CE1_FSQ~fvniG
z)qw;AM#&+ykam5?NrR_t^f{_bBA23mH<-Pa>W2nBW*>&3GrKM!OZQSY<5CZ}`NP^f
zCogEwm4pUeG-%LeFQWH-b3M8&>NO*+_$8j5ULbfq(jmx8TlIk#6Q9X2l#*#JNvOuN
z%`Po9HpS{Kc%rs3S?ck%lOkLac20yA@kBi{gn_4*(2xxM&b7Ze6DieY1+CX^VSnn2
zXQKgnt58EkV9n`Vl)qykoNRs28+V69)m38&7
zTv2LBHH_*LV!OZSDj26KGvT&Ol_V6Db|HUxLkhx3-E;tom4a;qW{7i%PTfM
zKCpXy39GukK3Rc=y^Bq%IGIa!`(j3QmKx&HzT+_BwD*2k=p6gZhBD2Ltdl^Q%3Ejs
z!;|9U&QfRNQiJU}It}>$A)ZSVvDAuV3j^n8Y5ZGrorl8GN@wrb=j!+&aG7QJF*zyu
zs2&;z`I}B7?{#Tg_7P2_-qUW|ef*Xz!M|JsTpf=RKZbfC;=;^I1BQq97OD
zwRSTfQILOs{y|rlw4fk+k5|rYPhTspBbK6F;KQBY8*vAum-``ywEa&TWE)KhZ?5;V|?t<%dvLW7+
z%|-0bG1AIJ@_K!(xi_{)XtxV=%^I$zUB^gSGy3aVZfrN@5cp~X`7Rc|dpSYn2TPDV
zuGB0juLlXi+ytT7I;UZ~Xa^bU$M7WXyh7M0fS<6}4DtJUy9nY01?29tb>p&>cp}8+M_n34F(@Ue9KS|I#G#0Ikq*
zMMsb1cS_B9<7_pSg}mZ(lf<`9QZ#wbjHD-FWF^}p1`_|=NV|_g
z^W&wWHy6xSO&r3qTSmzRU!_@lvvYFZV#RC6vawLYj+#}_mD7D~j+0^8V(E?<`E7&b
zT7MucvK2>kfUHOMdgR;t5_12aq`%t$B5)1aso!|Tu-HM4z|EMGWHvCo1+WdbhKu!p
zBg(F_oIRTFFb%XP1KgB<8s8`azk3R>3@Gvv{}HSPB`aFx0cYebUN(k6
z+WMpY@U^$S;w`1B9L!4_`bD%vMu~|(TNqUL+~j^5u0>IX^|PsG>ng)~D={Zd6!)tN
zJ!e@++H;{6R7W+kToAI4eIXL^LKNy?g=2w(br#z_Ep=tZ*^Y*!iI`%ma+DkA|NPN&
zmA2Jyid4HbY#d#THc@V(0Yb&+EAK<#muBvb@DbPhmBAOXbg
zqF;*%CMI-LC4;=l5SyI(mP_flj%@0RU@W+vPysP$z`qj0Bz5x9`q}TM_nW;IBF7P--e|2AeP28f?7z44+
zDeKMWv_!tUc^I=qg(%iiMtZRzlMKV5x|CO!E^Q-%gjeyhvW14zMaDTezC90edy}HG(i}Iwjb%MP0wVIgUbc3
z97~V$3PD$dlu4rlkE3*LvLTq`>GOesv)GG7GuaS#Z}n*h3vX{t=GysnHIqyk)xIH;
zi^AAB41r(4_0@+qkDAVc$x`Pi>CNr<-hb*~VS+6UG8k_m`#Z{)dbI#xHQkU|m7Cd-TF!s5^-emnR7XXEma^YMP$r&L9CnFWBGoi$2
zu@P}^iQ|I+4$EMbEbmJl*?mTHkaIkaOR8HsV;mO+aI=`F1Qitg%fJGfDnhE*(&&9<
zw3a>=mxS`!hEhf`naCep)M0p*8Zf%>E$4njJ?Hg)JtIYs-a&&N{W~K0KKGp8)C8B3
z;|TL!)^oG3&^i*ExOsc2cdJ16AZ>y`nbQ*c&I4d4ptivX)Lxh^OPNK=G&%Xc#dCLj
zHYj+^)iPhkX?Q)c>gKZ6h+BNAa#c`*4T>#ZznHI*k(vC$Y%kWjCQknT%%)jfIzu5B
zrIP^oAYUghjQdk_K(B5*gcXy+Zm(Kh5-G#{=38s^p&{s0vHY}#(@fH7H$9}~hliw@
zs8N0V+md~g=5hV;izEZmJdyQg=HHfhKv`Z
zox~{h*n(Gf#f>-Go6ml#pBhGqs(V6$jc(#q_3vGQSRrF
zso4-Cp7@DyTZg
zE2}D`!w8gZu??5nR+6>LFJBdLSoe0CR3$RE5?=Mk2!Ru43X8?oeVG&
z)ml54(vQmdM#pdJ*!KVKOhwhN9ETO1s$AU(8m??3vOQMhyV8$z>2cyMCSA8atxq$r
zGNpgsC!83KNPtbs$9j_x{-Iw*)6$rDfn6W+Voj7HA}bIJ9^liWb33=4_UZ`2mof^f
zqmB~#FX_OF8a`m{2o}N5ku}_VbPw04vGGla#0|?$uEgtEoLGZq(
zRn!?B@ICprFET%`#9r%q{omUy3xkw6#N_42g?Q^P{p~rFVfAAyjQM-cGeqXAKj&)A!%m1J0~WOP8d>wVl7D59
zCLB|vn^O^?OCPm!?48=KV*1)vt)$$%B7E2Qa>zQ$9epwGJrMf8-`l5e3=|@nw$Hq^
z*cCb>VwaxsJQtmhonMq{QvppAKRS;0fyTgoCCZU
zew+5(%!KoWVrg<)Wd(3bg;DxGw+@avQ4Rc3;^OaDQ&Og9SBj;t=YR+2S9G`SSZ|##
zOE}sZA(xJ5srKmAZc(`t%S@DyCpz#Ha6tsHM=ZozQp={V6LQ#mpML`n)00#&>Id)l
zX~BKB^R>g8CGXL^tDGi*OPbS><*DAC$%a)L1SvyutE;ug4}GKce&WX#O~7`lf-~(<
zm~D?5OW_?Xqs->;bf3nV`oeAtPIp4^CE5jU7qbC7p#%4v2j}gBw|2>4s;)X{AY5+i
zxr4lhq2ig$k932^XK14XVyk+N?-IDwL`ib8%8D$cl~ys^crU0e-LlWPG_X!a?zYX
znjhMwgTqbvVs@3vt
zwG*$f%}l3_)6ucQ+2xPY!tW6A2TN^-1ZB4itmPuTZfvcO9n%@6{ds@BE!4C`Z*HO8
znUBFSl&c+k-sEx5a~8~p#TEQYGb0*8{ri$-nXuI*K*DZmfGvjD$Ni|cXNY9f1BLu{
z1O&r}&ZloTkErTbMKQ@pLY|pc1S2Y1|$V@XpDoe-D^w3(p`%oX%q-SFw3@{G
zets_~fZA{zGziBVG$MFDBiC6M&=WYi*;RJeiOnt(ni)`6#s`V?w-RNd%VYUzQc}T&
z2&{vLU=eeISQ>0_PhNgs1EU=xKINm=LBUtMjo}qObSqF!IIKz5Tm@sJyggSRvoYnMnr%38&%31j@x?q1>kggaO
z*HUeg8fK1UbYY@wI$r*PWu`;P33qNu=JR*xVQ85sOTZ!|yG~6qpbg=BN%DNh;1V(Q
z?xBel7k+DojyF}hxADyFats=4SD(4a;q2s^31zwtMl|=Pf|S}N;%zS~6sekmB4)&-
z9kb8LgK(hj+gFl!!qLBIz!BuF<(6w7t(NLRnKqU;Zmvz3-&I=;FZ+83GOznzE9~b4
z2K~7j@m0I9-s5%AJ`I;|abalN=nwsAXA7GDm>*S~(?6zHs^GYZ(W8HVWD>xkCf!@A
zW*=#VUBqo|jl(`ST&!%EUVnARm36ylj?dSHhUXM#53`q{>Xlgr-6Xhw78As7P09B^9E`S%fSbc5EOs~=dx4>oqS`MoEW4n7M}>*UWaun5R{mn~
zNcZLGF{pZJEgsPnaI8CX5&D%Px}MrF(8-y^J6qxww9=CH$(n*pYXHpYBziae#_R#d
z*!x)OkJXIeEmI0*?B)%ZXtUU5PhS7RrP32MLx2RI7U>+@A7!j;B4pn;6He*+3ho!k
zV`Na|hczbA*Nepr8w*^4=Qm=KKG-aqdTe<>*%>?7>~bG!GEjaZYe1%^);bLKlwpW?
z#8~Xh=8KR0OqFW%Mj-faZ*2pug^FZzi27BN1(Ss$fZU=xh+
z`QzB}38|nqFucIV*wzbHdHu0&x^Ln3O~MB)`w{KXR!>BORQSp1&|FJC4J|#1hUITy
zpIH?C)hD?Btgm0XZBsoAhcFKY|Knd=2rQA86HL;d>q&MUr^N^Q@L@pYb>oMY9~AIXn}L%9KdXDX`woUB|H+%4~YD!zA&o2*iS=9+eNJ~n+{BNH}6!ED9E_mi|wz6CG+u*$G
zQc(7l>HfoL3?=+D#6X)c3eette00;ZBJz#z9dYr;*SDi5OWbxIg~vMv452A)m%GO)
zTl$%s1k&{^v7pQYwGdUvaPTA5;~tMp82&bgb8zcd0IzhRgU%v1gyCn
zKoT*BH%6b(Jh^=Er%mNW4qgb>SG{hvof~8;CcE1G3&ud4rGk#(PYX8uZeNUNj)~ED~GIPrawjcUwDEu@dr(s`o|9H)G$v*$4L0co6_y!
z4iY0m2PnGDDn~z&Lar+AQfp3IhqM}poT8i45MG(!657;N!4Ne&H68Luq~eFVx5{*P
zP4ZAfB8$JEDC6rgb~*b{JlP)@MAT9pdUk^XQ0xoB`j|D(ua-|T=pKq4@M^N0)0%_I
zxmy<~LLQob^EZE2+es)x$b)?M;i%+90Rtna{Gri3Z({bQJ8#lbc5h_`NHx|93QIcH
zzc%|9ftd;y{FtQteKX}ourm!#^b>jVN6!3M&-Kf@?2?&X4z)iOslRu2cJ5jSV-^Ne
zIKsf7m!#=rE<4gfwNkm+dJ#0le9-1GdCLSlPiFmBJc8&(V|C|6)ZR7?P0`8JvH2NN
zb7b&XeU3NYo>%q4K6fre1FuSLjenvcOo-j?FM}1&)yqu06Zk?^me1l#`7-Q$bdUilc4DV;GvbrH3S*fEoY*u*&<|5YW~zC&Z57v
zBhk9k$p*9=t7{(@Ya6-R2$b=m9h9&`FA(QQyz}1>MmtUhSWW${lW)cy`h36Kf_)rQ
zZ^ScuBpANYM+00d&!Xqdl&ztB6qmSxO2k7rS
zGsBo#l7QqQqca%OMOSNrUHjcjB2H`l_Adx9U=~s!*OF__^bH{H?=RHj_yUnoAmHj_
zCjOpuBPpH!?FWzKx|^TpuKM}{`r5)6V5M0!;5f@p&(0Ka5o9OKEiDOmchHg~q}v(>
z6wnyT;;XN=+S|T=3yaU7_!DH9IMD-9Yq!vTNjIVqSoc4atMWC3M|jE{Vk7y@X|-D-53t}81u|Lhd7?tRLKf59dd(S$wuq#
zS={0kfSGS($C?6q$)49#Y#gJ~Hnw6>_%SSFcg7EycA8egu6(XPzMC&pnQ%g$0n>@v
z0Xy3T=CJWd(6;pfWX><_kk#L?%Njl2-xO)pM*e=+7!LFUdW(@qvz5WIa=ggC%^p`u
z8XC#R)pw8*EPu*}bz_!n$2g0~^M&!eU;w!pc+Z~;wpz}0O%ylYl03pNR3%XIb1r{t
z$CcLovyRXc{`RowTX71sBp@!xt<=n((U<1Fhpl^axAAt9a$JWdFRey$O9XDwsVUwJ
zn?`Q274t*PUsJ?
zQPF26fSIXtFjAU6905l?;oO_!1;v1b-XjNr6k5Mmj*4N`M}a9~xspt&3O>(tQ$|F6
zcQJ3Jt)a5FT)IEF?Eda#(TE<2Od8$Su_-wpJ-k=@y#Aq>wy_oj-E+<~xGW%N7}i_%
zzB_PmS=lWO3PL3HzBYK*e6B=CPhYNCoHVpK{G{V?Pz~eCPYUOE$Y-y~fDfg^!$5iH
zP_O=QwLAh`J?JAeAI29z0tpz#pK1PxC=p@^+B?+yP%Mk7PpL_kzOAO_>V44^z+F@m*pW$pX<(mUL^nbgQk$$Ug)~y1TItn5nUH5
zjRWJanum=*P+I^$aslW_a9_T>YS8r=#xrF8aaH)0KvC=zL*L(|vX%V1122|{QLxZ$
z?JH1gd`*bLuKRSi{MXXXDJ^=@iM>M*+fsVBiGtikY5k+Sa);lwe?x@)V!|=_FzFW6
z%603RxgZMhUxewFxJ4~+e%<#7VVoG~rPOqmYcY*4Mu7e#TICw&_eOuL+xD6&r{3t1j45TKa10#5#+X0G@AO=_>S09@j?(YsL$1zqyB?NfF
zFi|!8`qE~<{@fkOsQ700eX*Zzn!fq*P*Vo^lDc5#g4dg#=gRiQoIo;EH
zBJ>55$|4``t}y$6&BpzY&FaFLDu+Y6dNyusfS<=87|W62`GHk70jIJ@s}m3=qaNP5
z_kAL|w3naQteZaDGiXscLu6{i#L7pKCWt_awEcV7<1&k9zDZ)IDspE1+|8|j@v&X-
zN39;k3-M0D49f_;__slrdyh`P{5Y{K;EDtM)m=)Zc5e}J!yUZimX@pHi7eGBn#H@*
zq)|_{rlQo{H%#(nz*!uV?!8-d#Pl8b9c4G=@bmx{{<1zIBBDG~WC)NJ9d_v^xJT$3$d*#LZ91o~%=TF8Nj^nf}D
zG7^AD))haJKuLaE^WtoPO)W8fO=BMiP;nI}jgE`vASZq`?-w6~w!K0`%omo*P@+h8
zJ@)}-muySB!ltpFld&}>0;pNV!^P{}eOb5j09PRpA9)lze}9l`Zfxg@;-5!*$T1Y^
zS6C@$XfgGSO5-z2mI8_8dUcII|J*%n#EZvy*WZu;Ky#vDR;T4MT^obn$E^FYD-LX1
zCFQ46kWgs$kApkCueAeE()N{;g7fh3ZM_&$LC++U
z-w7WDTEJL0O)V{rI(vgZe=SKzPSRbhtgMtjLp^Xa)B}fiQR+``$rxy?-s=K9Oj5Ca
zmL+`|pHWzL^>U1y9YE)P;P$OS(K&zq~hz-9o9h>{lN6gJHotYp8Dqsknu;_5S_B
z>ebzBjSZ1>0>cimkWo)~TpE3szT$cGsigZic1})=3)~<^phB3O(|t7#@=L4vo>k*b
zSsZ|wuLqvW!=7-JJsPaLXV@-s9OHz&RvTJ5`n$z89Eal+&bGgPTA=2EAU;OZmY*Pk
zKQlnXs%e3YG_z5-MI!ICfH@?lA~!^%ANQ|Ao4PC+&rte8xJ;k8M472m$P&?@5Z-?z
zFxQekSxc`=`(-P&p9ahENQFFWcg#yjnil5i4h0kBHO+hjD$8gMf81P)j!2pWD;pbM
zp@ycW=5s`UC>ZE`hc!}U2Mzs)V9;YgPs8G&?#S6nyMH(dAHHv~RxPX7?YV8QUBeC)
z2yd%N(;TTo3t(vA{bg-ygllH)l6x3X{PKP0F*Pw!)Y1wYGTplZo(m96m1N+u{BU-H
zSL`_eefqw{92O+BiKExM3Ph-w5A=TTsC!Ll5C>$Fw|PNHdVOJ^xp@m1YQvQgk$kp*
z2X3NTnnlSWO)f_alIcNA)Xlf-&VgH4T+=NaWjNR(0A&gSYngh5RkvvCDX6E3Bn&em
zc*mf3-SKj*CF)2TX5+#=na}0je63xS>kx3poOVltOU)kjKvzhyL`{rw1_X3pf&MaQ
z{&R6gXlN)*RKIbHQpnk1;@GkDdBjAHAlb{K~Bv`Mg#ggQhRi}_j2Bu
zeC*D(CiI{LL}Ipqq~t%u)F~uTKoeAr3>ERcWHepKmKL8(I*bx$==v0g;JJwaEY-Pa
zKZjh@8Ly`Mbz*1Z>G9~PZX-sThK8n1pIJdcp$+8W>NVD{?yioGl>1DoHD@bKP=T}>
z%`DT4lQR{)a&{05uj~doTX7v7l2~f_NH=u<_O=MFr4aCSK+tKjGoHJ#xtU!+2UJAb
zUKf*1;O7$aeEy;4JCO-ZF_d8A43%Kn?f;Q2WMH6Ni@o$Vxkk4)WRZo%i6Mprk=c$(a+a9Qnmu=m-2=(R8U`|(g>BMSbWWFb#opT4|-fFM+{+Gjtj`cup
zMVhu@hiQE!?4x$5=3v}KDg>4aPuP%~Ep^D)%nW|z?8d%v(LxUvP*<|_ab`yO@P2WYogd`)|->GA-9=l?S
zQ|dYF5SOjgU%C`YOP65AYDF#A&4&zN-_Z=0CB)d3jpG8kx7KeT{$S+ua`|Yile7fI
zL9q15@Mh7LQ(L=sZSHhc{wK
z(Wj}Ch(Ynxec_kCpmK#D?Eg;Jimy*LQW?A9@U8{X^1~RBFbWIyHJ$0WdymsI6l!80
zh3T?GE%D*GUY43Ew8f1833w>hq9m&;DLS|P+&9SMLOvKu&`q>r5*{Ql&1?M{93{4N
zko6(IJxCRZ(I169@Dy6ebEelP7~B?iliEvBMmCUcAoc{Tzc8q4x*LG+IjVV3jFPY1
zI0K5g=8jAZ00KQKxsz71hGKhQi*$X5`5lT+jOz2|NsSYrntIYBfZ)4Qo{-KS_`p({
zPjmNJ=!Dczx6-DNxuPpZw8%_VO6YvzK9N{s81P3#1Vs9VTHH(W
zHQM#Ggh+j7QKAJkhwDlnUOIr~TXB{s3kj^8y?B$}&&mw?%23@2Duo47S;=6iA4o1%
z02kags*q-IkY;1H0=2Hyf*v549Ggxe=1psYZCe#`Qrj&|^;a&R(7m{haKgF%b_w)m
z{o-F}N(T}LT!Nx1b8pUTOSc*mE~nL*W(B!Qd}{Vm3`j9$)3`HpJ|tk<;%6>1Na6Jr
zRj5+VT$iVX0Y89iPc1q>g}`p0{nsyIv<7oD4NO{j}
za{5`+4I{14?p(|2oAbVP>aU*eBO`M}angg^2K0(<N}p?9w-7zrVfuPG{)
zQI*l_syXN0xz^$v7YaEWLCD2Y%5vEAPrj$ID&P{l7n%>02!i%!RQ~O~*cx^jpr4fV
zMe3AKjJa(2oSGU%of*`;+h4tHh-bHI`DH{XqHFuh3x2EouO5UoRAJruisul`N;2xE
zS}4k@g8Flg5n-ZnWY~;0@9Y3_9#uSkwh#Nc?Qc39MT$mu5W
zUJ`;qK(tbV4DVqd0toB$tb+|SX|_43imdJ@FIcX4xz_onKA05O1`&}=V7H9$+Sw?b
zVZVt1%=$XIc0u7_k$0C!T8OS-PlRI6UT+i9eDzY`;5dxlB_lTka*x1H>=e*plLM@A
z{08rJ79~1gsuV~pp-;^03oe*1mzJq7b?zLj-uEPb2Fymzn_ai!gV#fvS3%=Comry9
z0-WA}Q6e9gM&zKzq^fu$a%n8bvUPTo^0YG1Sp-00w$UzJi0*>NK5EtR&pf((H{=)n
zIgDiX8dJ|0kUbT=vMjX7F2`{UT~X)Hj%E0fe0FdhD@pttqr*QO83-J|TXKNlGz5X>
zAI335poHB&uPF&#te7Ffw}Q6~#|7!+ekU0IfgY$^<#oO9G^H!)Zfx7Fy{E2iYjs7A
zZgK3^{SY66AnqHlam#@YERA1DtjW#w-*#^Q+(olVi+cIFK%@O
zx`3s>7#A0NPJ=iFTKGroMXP|J@r&g#5DbeBdug<9NZlpzhw}n1WotRamfgi;0dgvW
zc8D1F4Rev8u{E{+(a4&tndRFA?wbQZa{vdpzc2(G1QwXN#Es9fUhPv!y=-_mBXPP=
zG|v5AEzs<<&gGBc-johOUHb!RntSA3LirlcF0)Fx>`?-rog@tHR4>*@Bia0`XQ}l~
zyQ+Yk@{#xnpvh1n;jr+=y2yDqa4Uj(m0uS9mY$k9th}LZG&0VTM6k~d=Bc-mk?$I+
z0r#9dP2)Muug98S)6CO8GLNT?id7r#h{!DCP=SgB<$q579jwQ!m+y!RvXSA*F8Pve
zSTn=!)8CP`w~+mV1t-TAHRfQKCXRI2KTK&yEPOd3EI*5qww4YSB!HI?(b5ose1f5%
z11+njeL-4ABq
zoK-KS{3xLi^)cVJKI5nuq6W$S3+efdvoZ9s#9e1Rnhc3UtyXHY#V1%gng(`H{A^4x
zQF;3@L;X2<4COzE$N~d*?c7O7%9hb7BWeH?cw^vO?+@~aDb*GsVj73!iI8%
z|M9M;EOF2Bv9l-~sv=Rety&-ZV135pR($}&sF?*Rq8G!$`>KUX#R23{U8BfxvXYif
zt&S)^d%S#ua2-&_xBvnI0DYrWs0(_8k~;$+rA
z2^$3>fmqE>UPn+}VYU#Im;Ze|cu@kyhZks-0R?Icd~Z0bN%TJgw8e8b?3N(qGb$%}
zGwyo2jFJqS#qPw4Zq`JL&BdxwDI5~djt_*8cY%h1|gp8+`%Qcvgq$Z{1Y;r2YdAr_`u8ID?kJI
zfvHBqPlpo!lNcr96}y$UGm@sUl?S<~W*PBZxXZ#0a`>P3!Qq`+h@NsHXf8@1&6dDJ
z_U%HpdwU3zU}?+P$5x`_N$&A^(1AB=hfu!C6ZhmA++2{S5!SED$R5yKbTy@fx7$2)
z^kHZowvN#S5i!^0=sPIaxTc%Cm!50c^+KG0qDGUMYxn+9y&@@--F72?s&B-A=9L1F
zE@109$sE+Am1>-w0l^&qXGbK#StqII4sew|=ZGadYS=Y@yIO-9yW=gy_74lnvGP_U2<;65x|U@QE~`5X6%o5m!%&)|
zL#J4zWy^4{<4XJHLDPb>FX;MqF-VhhPKp8oh*ky#|IyrhUY3!&7_87cZgdiXT{t$9
z>-X)%HArbqK5!Q=S!od;6`HP1D|z
z>y$#`Tq!w`Y#byVC&Qio+-&4QOgC^U&!g!=-(~(%rUQd0GWz~Mx$xgmNY7V0Q2z&Q
zv;e-G9xj-nemT}0S#1t`XzQ5>SnG`fx&{MlnI@TUg~TX!K9IjmRBH}p+YjTV!XstW
zAZ8K%x?v-aH$DC6BD@tFe)QMp3)5EDvcQ&*O>lkw;n4e}Xe^O)9iYmP4QrJw%c_`W
znJ?jTXgb5v@~L%tZc5d43@#@Cm@UjR|MxOf6IdfO4m-EA67DcxSEcBHHOMFU=E{Nm
zIH937$#8g`SPLOXCfT+6_58iu<2p}3VQ<1d9SSCHIv(3SEP>77T1E$3{decTzC(-I
z1nT;X5wmK){4u~y28OEWuGQc5lvE9?PP+Fcw|Tn?7X+tu+hwH5weG3qE@HqkjV))S
zPnK;d6nK$+`i&jK&?gr~d%nvOXjuijyNjUFlQgajoHCJ%`hX-}&b8uMksU}Wfn>d6
zR9Eh6dyq6LAkFj%=`_y1GB-4P{V4Yi)!HP@uwQ=L8{8(4WZDk^=Xw%DY*qa-Kx9LX
zP=)c&Rx&PgP$0SuEr(d+z3?Fa2zkFr08Rfaggdn>aUes(-!nq6Ix~J+5TJc+1}8Vf
z9JmPTrf7T^C_9VC48?4AfR<&(!OENSj_5{uPrT@i>auuOMVhpgNmC+_7O20#v+H=S
zaDlWeF;B~-yLlKy86}9&Z(hqbxYwDaQn$n-$m0rbMYJBm|ClI-u27*zGz#D<;4DdK
z!Z}BKF)+P6e#_!fZH{=ew|YUF+pv5MbYb%b^j!Ms`=h!k`J2Q2F)_%l&A_
zCU)p@(d{XOD8?GIv7hS3yX3cYlAGz~ECOrg)za0&%I`RX=QwH8!So2UOCfs*!fm^2
zv9?>W4CrSTkCGJ%BmM>XZI;48xwy2f)oSaN47?i}j-)tzC)6pvK*|;U^4pZrdrYUNAqFCtzUAKc`aR!AcEcZ1xa#QKwsad6
zm!hJg-YUzPeqVo?GQ)_zFa2%|vsfV2^QEihTiuR58)p;VIVbAU;PRehD~!I}0^>V>
zA?G)~YK9&wYKtbu^~f=C*L8&PHBy-5xvxJ~iNZzG28wJUw?y63@%vqTmoIN$bNqGP84dt%#1=0|g0#GN6s4wneqUXoo?QX=lg
z%Is?zxg>rhak-Sx6JF&?cr9|TB9mDb2mFO#vSRw|&D0^*=8iALg7``-Ap+iv
z&2SMf+u0SL6=kCnNsV|A|39|=0;;O63mb+vNF&`ymk0>b9a1VKNF&_>5)vW}f^>-p
ziim>-nrp5(=XK3%o!a{Gh0oqq
zQdel(vH9c5rg|wUnSukiHRX%Kj+#e~N-N_#C&N=aD+w#zKg6MUXK#ZeB9?vl5k{Ow@t=|#3;Z>Lg|+%t
zTLg~5l+0QIjWQ%8S_ohn6BS^%dD3ChU`plyFf;4Z-{E6WJw%|nN`I=fu9$jBIy
z(AKliyD`seS#9|8UPfQihEmeJ`VagBT+#-LF?_D83sSUcxPp&9%~cvcUAXg<3Elb9
zRhFPG*2!P0y?2bubzCC7xD^Ze#KZU5m;5B0Kcw8mf9J$rHJrftMwseYLOSIo1$`@_
zKS$>+FS)G&YsEX{oK>&Nx)Ngl+Q(Ui%X}}`_1I5%;;wGkXK+=CZpcGFUwSJatH5RZ
z!5Oiq)tl>oW=?Oz+zo(_P`n^cKoU5kyg?DtyzE7?xk1rpTF_fDH*`U}zQVny8_R=P
zVm^DEBF|mJ}X65&)p}SwzHFb|Jljsb>zZ=<>py&|MsfSnrfd#Juewi
zXmwj}zM`TkMRzrIX?sGXOVnKjE5TpCB195=wSKU_@hxfWFJY|KCC`q
zN^&WT>9dkM?x$s5y@Fb|wFLW&&gw)s#SXzh!efuUMV1~THnDG}iV)>lw=$TXKEa4YxFv#Py^{AM|@mcli}Cs74Kybtp-FsG6!4$aqOXdqa{H@#f4VFpa7G!aTbZ
zpUQh=>Pz|e>tyV`w8MhvI~X%jbq&WAH4G!TpnCW*n>X=miPO7pK5M9;Gn&;OvB9}r{Ce4b^WFj)SFFZvKc7oLZtC(U5j>U>y=ierNe>C
zz~ofmjTHHofdP(GvOs)2HiFK~jtg&=a%s!-y%#&eI=@${G@@2RQG3BRFB*zbbnfR^
z3Y!YYQ-+Kc&-x6}t3yxr#}^gE^%Hx8+CTa=oBmCu>KWFjb>Z4x+mDQhSjCG}M1Q4*
zRclO`eJ^rgKoizKGYbp4mX=mTWaLd_V>(MqOJWL&u!sm8)ISLck*j2rKB}b?cvW~$
zHT0RrJ)NM0c5LREda`n>72?Vf$7^!K#K-4XzqEznlaP{zM3P%;dgGPc
zh*nw4x|%1+HqQ4rW><3KOwD$~hwx3~rR_#%L*s+vUjJe2b+cEh(6>qjeMe{K
ziFBz|#l-6QZmDF*N1XgEJ%#g?Tbj;45v3oLxg!4Yr8fBQ&)lRjp1%K-bDMncj21Zo
zso_$)eujqaHhfJk=@JQT9UY9UK^(+>s;2BazqIem>&y+lhns&M4h{}>_w^ME6~B9j
zSXfx_KGn#&75@xO6|@~=pOY#_u0^4SGo6Cvqs`xE)w_q8Ee^Tm{m-^k`Yh*1)N3pU
zeWdhZP-(;^Z_ExEoe8>7$#AK4O`Z8urGn!^a-6k3`MiRnJj=MB2>JPC
zW=qLC%WM8Vfw#!%FM>G`mbbX?S=D0iThCfq}5fh#*-76Z}&`0`cwad+}zW`qmW_
z=4A%v0!RE1h$fo=lbVpDt^yZ
zoev*B%JZgJfjD$>CxiGS3;@xT9UQp81|+=JBVY>XF)@oX4vX}-n=VcqFEh%}@$>U*
z7K|(p=aHHE?I_X7223ruHJKLtUhD4eZmE3meW3DzcJ7G7WjZn9G*Op>ZQhsrSZ_hc
z@5iTy_{l0^!^1it$d0+PvJ#MHr|`R)K@RIF8t7y4)_HA2ZBEzwda4Bk7#hkO8^7uC
z8J(ZEMp|m!$MjBXPdDp#zH*nm1MuH|x=#3!yL*}IFL@~tY2_`+*5N{VJ4+DwG^ns8
z;Lv!pyrG(9G@O7gCpYnEm0PH*?4CRN1_l4^=V6&0ww)vjO=C2S6ebXyeLQ;6-_^)4
zM#g_HY?7ZPD6sQqjL@{MwSh|FgAt1-gZ%L{;^;vmpRZ28w3^OW`{PqgLMkr7Y3bUX
zy5v@9Sou3|{oxVIlN+zQjYS3CCN)zvpSX<_${ndcrXaF*>RfYc9MB@seqff@8xtQ*
zIG2=}Wg0qPtc7z=igbdKNU4%HFc1RLz}1RvEiIqy!ZM22RuRv?LVH=#cXwQblANvs
zGLfccF%}jU*@W9{#2BsbQ{pNfUT{QNKIx3B|4ZApyWv?e@y__~b&Tm5X#$f5yXOtY
zoB=;E+NZ4?Tptx1@=&Js+7=pB;c4e+6ji!F_%mK=acQwPEqvvBPQBDY4_|Y~i)-3k
z8x?%UY*8$>-%^8*cbD{kxR|Lu=zAj$eA4iCJNJT-sEhMc@QC!upBQEQsKbdEJ5RTo
z2JBFVU~*TIQ~&nhd0V9(9D*K8)4*82<;bqS-X_=+pf
zVFNY*9^y-0lc>T%9ySgR(?h8%q|N7*_W|s^jCBdbD+9g#)!f_+zeGrP&&8-@qic>H
zORm+!E!l7S7plh7X<64FTz`#Y
zUM+Kl$mSxnU%0sW7>6S~=1I-cs`8Y-4XbJ2bfoB?155eQlA49zq6T^%9XYdiD-|P0
zuC?C~{CGcmHdQg<9r*et6`HsmE&8w3(Fk~uj^zSb%cKKzyh5x9PDjcM*^MVLb#=H9
zQ#=)kj)JX_!S|)c=eH7lUrVHHR&}Z|dKiY?Qi`+<3?g7oP_m4rrNp$cSnTZVoY$|1
znU;hP+J{a!JsWYb+3r#;ugGEQ?LCkpmh1jvl|b%&aj%p^Jzaw0@r=KyfPjEGSk(8G
zQXq6AEip8LuG_OWQ@S)@-OhE!D%jfEK521X9(a!gffqsXBJF3Iq`fw$a2rjD(t5GL
z>)e$&#^6Z8h44FE?|!Y1dC$x1U`N2+0Z_qy1(wR?v{})I>7CXN`C-f{B)IMStq9t$=xdJhq
zM!H1UD?vMnv(v_(Ped>Rz915AzcB*N_w`YpCNXhS{~)j1iT70VzGviN6qha5gwv-#
zGeith)R(X>%iX+*25YNxf{R1ZOYZ)06=`|J
zB8#7%2i?reH#^j+oTaqHeE9o5gqSifsZnWGj=Ah21%q6a4neYFlv*_5XOX14OSo7p
zUtjZ>-OaK=Ysu^gST2lkuj_ZVRTDMlPtjS`_3TcKwsU{f(={3!n62p1Na(kI&h=ce
zcwEpe|6<1QV;mEXOtS8Ao31Tkg=fgq^*1iEF0f0qkk1{dY2TOdSPt@B8%@UM1}Bdq
zHX86yN`bzv_r>v2*~3YZoGwBbnT)`T+V&ZLh%SK;%urTVHeT&w_GAbHk`G05*iRtZ
z0iF=4UWutm-pOZEpHC1qS2~Ur`_;?8m#g>MxB(L1%_cpYt=NnmL)of5fi5L|$16D*
zr9S%(K=jMHClIcjb*&%oM}-}c1d!94_}JJmij1n-Kpy;DrvKS&-FK~Twt_zcP9F+A
z{81@IyK>#Pw8P}O<7c6=d=i;gYR^JLF-k&Yy`EwdDH|A24-E}*74hhO&mX1HH>PNr
z5T%A^UYIfW{(1v%xVKD1=S*-(z1mh$Why1$2`wMGf!QO%$EL@OKE_9U&&+-Xy`}ma
zZIL26+svNR_*G@XW_$BK12Pb`=zuNDlSz=m!!GuKD?h1~F_7j%6IyldRLb;3VE(tb
z4YXIYXQQow?-dmZ?tfmoZ$~3R;kyD6(@WWzAA-vT2jBBjv*&tti#VfT#54pwRa8{o
z4cdPd^jvTB1eT4avGL_1J^XZyE~j)RmKR5#xC%6XPqwiIi@=!Vyt0Mmc1cqYZ^0pZ
zbn5)i)C%fBUu4c>vKWAstD!^B3XY6PBjAo-hk)oEz>pSzCe_Oq+
z3XT|r=hbpwzp&dcdSV)<8*Y$CdKg}txlMN55T}Rp(k$+#l>7=Q!QnCA>7?-9S
zc{|}*=D2NJfC8ZaPxiv8J~?BTiA67SRGj}s{)xOho$cWHql0}d$0y_`VIuOGLgeg$
z&EfTXhR*sC?hCx0?j>CuJ;TeH5$!TW1>H~~m|o>6p3dzAcYZvC+JNKJL*>R12M
zM?+&f!K2x#R5_Crc$gBNtD$>)9@aKC@1MALEtTmN8HtPkF{12;y^7!Wz$wRSJtIAi
zUQ+MDDQHkfe@VJJ_sZ^VE2PXfEZQ*k)+fkfX@wu1Y#sR&+oU{y{@cUX!^5yDNF%49
z^1P(^0^Rkx`5Zyuw+iN(O$7Q_K{OnKDz9<7z^7G4*HNb#AT7}DGEitJh{!oP@dTBZ
za}|uN3e{McZEy<<@B8E!72nN}Ia;siM+MNvO@0$Lp`{Y*CAF4|&$$nD^jy%DMsTT*
zeFP6UZtLuH8jQR(qBoUwvndV$5?b8YQ14VOI43UwmIcd9KDl4R8F
zzA1TMv%5-2s-0T#@SFIbf^VgjCrKR0J;JIJcT5GAz|6{e2_*~Po+|BofFM5ms|y*Cnd=-!-vs+-dqrnD;82b2Dfj;4jj5(w>f1Xn
za}cc&|E5wqn&Yo2=7}XU-%2qq+f$MT-(sD7mm)w@b`SGUq4N5W-EaI}T;uW=-u`dX
zUf_BQ7E}GuIWBb}E;>?kCy&PeZb9;}yK1@g(>zaSsPCrDhl*EjcByOYiMJ!^7_Sm`
z%)M%!eaBB#@cdb3l0e^sxUc5>1k3p`U6*Lm+2RsH!$h#F46+)<)eAV1|t13Us
zGBcvu!RoE&peJ?^=+G}enpx;c;kWrp4oL!>FVJbx%!E?|JnwCw;QvZzmwS~#{=
z_TW1QVq++IG2H0;nCgG?6Zsz0kDPaQ1;muJvff3@j8bpr
zZhHG{Z(!SAQ4;(z)`PIO+)xw#(VeyJYJH_4u^PLe(O~iX(?BO=*DcIzSe*Ayd{uO=
zRwi|sKk}jlC-1VfrDUfhW%R{F)U!JBXAwVpaL{8ipSimx91_=hX#dpukjEx-m5G(f
zDw|H=a4VkW9ARAO`=CMDa!`u|U!1MR{#q;LG&`NBo(p?(-THpbTj!J#Y^0W{6^bA=
z8$(9RiqZN@(pIDIs)!8ba(bIaev^?53Kxe6y+xN49+?|ViE%Z{P>sx2&I`N8@G
zgkjlc{q$<<>f3(59HU%48CCoUL?(QdCoU=KUQ#YDk8>!u?#MKAQ#)lNW6AF)X0%5O39!5dT%g;2nIbOzkPg~n<^UWGjKY^BKh;q={$)ms=
zcKyp@x;fUpX|sv-4~2Kk$*(2OWw?o63hL32Iw<-ZvleXTnWAMWC`o^4V0}NAo!Qjn
zv8B!}zhZI1B>S*V+qQ~{=DGF+g=NOqA=a;GjnZhaV`|6qdfM*qG$q@d{JAQ9qtfjO
z67h9UkNs4r>8^eG7}~q*b*ke<{mOTf*CZT$x1F6YWDFDoCRG(ZQ!3Po&JvIV-XdlV)WZa+idWhgf*g};7Hfh)b!!q_ok7tv0+R&
zP<{s@x9j+p;}1`Dzo(De{hNw%=f6$5RnK1FEcM7p?Aq+yIpcPz{_gLa77M`T%6{!d
z;x4v`Jz#U9lAo{{;`iRf8A5ncGMl$ceoNdMlv3WZnX8&^xfFF$3xX
zLniO-Ee8HG?iQmz`Qc1pbI(YZU*pT1u^lMCn0F^Iqg*VQ@xtC~V7qq#@x9chhtk^C
zHd8B0nOeew6V)r{vGsGBZ`bKIHS(vT?nHr?8aG7qC)!Vks?5@XX7xaS^;54;(=>q?
zL5o-SK2JOAjpaKO9q^cboA~81Q=-1PGcHz>nNuEk-R#qJx=cR#+0`edV@vy=LqeV!
z+0;6A1cz}xu1kw!^Zv)MM)g^9-pqcKvXxk9(_6$?b=KcxB
z=LKZlxRk}^UX2rdkGSwSE+ZqC1F?goFx?^?R5V`%k%(*WwDJ>ks~yc<5w~k)4y^gz
z{$~?${aol-yA>ourQX(vk3=Gbv<>xITLX5p3H(&)6g#Fdy^smVLMfb~#D(&q!F^J{
zZ0xFynmojJe`5L9$Gh?AeYUODV>=8{$e$vg`O}|xF%he{`l^&;LUw4hW+CFj6V34v
z5uD=y)!r)}20H++Q0+OFLw(I1~pmFObuEv$#J
z?R3C+^l5M-BB_p-zusZc(x=Z$DCO4d-{;SCjE0(4k1>#4yaU$n`MVB;1d%xAdOtM^
zA9_f#u=Ra^v~lsOxo1uG7JyQ_BKC6|fsiQAGoldI{8VUlV?c;#+{@G-V_s6Y0?>2C
zCTSdX&j~9o0;R+O)#MmRmcsNddC`=Yl^=;Q#M&=;(H!^{pt=7!JQ3>Wro66fG94j0
z=OdoJMwCsp9lB$z!!|Q7Nzq^^?WF(1_%2{P+KYM}*AZ0p7VcA7;DM6U^RPGlYuay-B1=#Rd
zI#haECohR#Raf#Bx4VkGgW~p9=S-AoK3ll^hUh%x$#$-0-l{oc5{{#&_^F&nqMNBT
zcUxzQVU#?NIk7ZCkz1!c(S&5>0ZJ7KID0zmEXtXR#k%n(Cp^Yw
zI=t$WfFK8_jQ#$#EwW7YI>h@G-e*0s0~+_8>_v>ewCIwh>yE@4ucBPLl4Gf9eJ-6m
z6On%|ME*Gw_jJD&%5&i?X=Q*rDDKPMiFC>ChJhzP8^`$3zv_@xVg5mrllbEC7Hzr)
zc6zb%3rx@Sd8zJu^uL}HHxPd(uwpfmf96P|Wjh!J6bUQSUugCZZKsGyRxf!mbN0OLN2;R0es(x8VJu*x=69de`x_j0Rh3d6r->vHOjA*4*@>|YHinguh5|$Qw?I`0on2qT0e~kLidzzVCCR
zAz43|9*||#vgvKbMZM~|sKO>;YhJIR7Q^fN=eL4YSd{JvUl?N`unMhoyzwiOZ{6g*
z?eXya|;M)Vw%EmID%l-=5+uqiaQpr^W
zRK3OlssG(QgBr#kuEC3|v
z^B4)e40|GF_DL!HdUgukr=|M@V%Faj?7~DFrJ0A6cYc*J92%
z_WMW&N}|bK%@$p-v9Zz(`L@CJ;J-yMf8}M6mS%nlcMw`jU{u^(aKz~C=XIt{CKyce
z9reejJNDLBs-*HvE!ggnbkeL+?eG}g$a`P*ORKgA!>|x=%PQ!1z
z;(y>Te~3`nO~4sP-Uv|quE}dzYLfM04jEpunbRd*n$Y;)?@HPt|NGq_Js~UkQN8(d
zlj4Q-kw{{G$;Vd@XdVq{uhhB_YQ7X_4GwyO>px)1pxsooN{!evkOm*)`WsXF8Z!S5
z;-_+~vfF7q;E6N2wT+FaWsW>3{X##Z$H5BqaJU|$tVM@WA1PR_DI_Z;td+oQNua*D7#*uwZN@W_sjC)f1Z!Pz
z9%Ft=_d2&!NTS8{cdpuf9GN_-DAJIy0FWWz%6t|=Blqu~2D%)BQG$ysbi$Nk7=eg+
z4l^)nA~<`P{wT2;rrw<^>0(#KHT^bCSg+t
zQRd)qn?~*}kiK?G8m55)5gkop6Q+GtEzBTW{Fm*UED!A_v&H3T|7UbD4do;c=LhYx
zB9w91YRq{%Z(1?%m}1oZceC!t5IJaCBDv*IF;&j9?{q8^Wi`q#EZ1*=aAikjQ^UZ#
z9iQJMJ;qJPLC{M3OIXmiF*1@CTy17Jcgu0%YKs2>VscSR_JhYy7)V$!a8k8PiNZvl
z&MblJZ{2`A<7?pcq%T0Rz(j7)#&TY}mRIxuwd(|-qOCk$8)W|;yT!fX*yU`s(7i2+
zVtAaLz}HDfALoS%WkhVfZaE5CH6GB7I`-Gn?JBG&g)Ux1LSVz(@g?d$OHl2x?~dor
zgXZ370JuIz9gasGn!*I-2mYHKDs(yYAiJ#k*;mUNh~~9#-}M+`tAG1icpH$Z^{G77
zD4ekE0i2~(!=I8N+9~?}i!TvLT$=WR7S+u7+`?B~e;ONS?J~1u&UOHij6|!w6&y!)
zohG`MnK!o-*>qmRhp!V>?u@#4KjWG)`<_OGX?l1UH$h}hRpp)Et#MgAa
z`ODWm;d4CicF}^w^6<2?Bh7I
zjd=ku$=k@Q(bZox9J_ATL_{o7|^zZRQrjPTpg${
z27O~y!)d+m)+iN6hBVO6;6LRpdU~@G%bHhFQAe~40|NUH^a6?!+lAk0ECfyzGAx`J
zXk?aIJNGQ$L^_8_c`X`{YK|&IDCPv7i+6JM!w=miG$bQl?vwMW_CMF&t!iPXYV7
zt)cNu{(Z}*hm&*%X=)riMwK}9l3t-kMaqYp(`DwZ=+v>w)zU6p2lRE`J1ieH(xZSQ
z(Y^4CXpKN@d+6gJMF;3c={mL%{qXUF8l&bW>bGm|?kpt?K
z)SE2YpFv(;G<1Q&5oG_K38GSSP_H3)|NedQf$yrFb(N8YNLu>Owe{T-&;z*P_PgUx
zEh1-RL<>mc4LHFY6tsGN8Ki53n>PCVg5oscRu_;H6vx5bLMc5hLh9f4OCX
z`-Quvu>xUZ-j?q>218k*sDH_4
z4YmL#Z!Pc(%mYeqw%HE&`k-_p>ajUR1Fohkp7Alx1=0fAGr@poWdaTf6jS>r+txq{
z>Hhk)4Zs;`Q@gJ(u2G9R(}A#pMa2YD6w5P0dZQ*jD1iX5gW~1_rVDciPZ$9N6f0mU
zdN03+C6pzBLZa2)h>=W8OhDymU~L~d_4yD4z)OLsD7r~swbUDEz&TNdVwBr_HwnsV
zsc|^LnYk%^W(TY1xwxoQ8}}3G4ZzVYRyk5Br)hxt9_8C^#H5!Wies*EVXF4+gaVtO
zHaV`=iMRF5nZGxiJAS3*tg}2se0S#ruV3=Kj
zJ)d|BJP_JVVq)MV0^Vh@IaM1G|Jdy2Hh@#+EkS6&=V}G6V#4d!t2a0R%$o7rC6Jew
zFLfN_t#p}TxR*x`KLEvLZm;$6Un9PP-rMGW0PsVFG~eUzm%ct;qURga^;Cd18f6GQdGYl~;i#yR&N4hY==hL`hgT!7|{k$a_)A_su4K*!ES5M6>Y@4=I|AS@A0dA$v&DX7Lnm&ia;;s(mj6eV%h
zx-oIzMs9{exZcx~6!nk;NaW08nF{K?J}ENzrv&1rvF8dY!3v#HDW?jUG$@4S@tm&}
z^cXbIjN!8mt22|KpIZISPIZn*sBs>)9n(&ZsBeFb?ZHbBiOSfx0-U8tn?-42U1(!l
z?ut&uPWNuMyAPVYdw$!|H%d`Q0TA0v^N-Ju4&3ih%-ZRjd9Dn7Uhx8=BCu`H5FiZD
z9WY9IT^6+cCI_ZNLP@Fja|$F>E+HCk#IzoqL1co7Kt0r>YVjECVGhJNl$rz1OTok-
zHmad>+;ack92l5l^^AydbLTZ|7LV$te-`?5M3C^t(@S~Z2r8G6ymEdgrJ1B>nH6GeYubn_wH?pvZ_{Uw6Rr`y
ziLve1$9TkHgF$NZp0~?HBxN?tcq}i~U*}qC%0L%0{!(kis2C7tYu9Cg*gRYEASL=a
z=M9~W^RL!cZTBtG58liy4G!F9n%y|MkE(cu`)iT1qh@AO{>oh0H#1H9-ORLU(v=onrXV1<1
z&;Ab=pf;;*pGf!5&!gM}ji<5{Rr(#~7M5m|p(Mgcm5H;u;(VXKR-&di%^M9|+}0LX
z&mg<`wEWiesP$K}2Zam>Y&Yblz8k{eKR`f_5Cl3GV&5rgg?>?rypJM4I0iGBZGfbp
zNxj!+pkebvcu;+ac9apD-h>T*xBMUFHqrg=xjq+W0mqo}Qhy@8
z^EY3da3k-4g|#rr)i+{UCdc7^R;cCn$}6y}{}5tE_Y*rTjF0+So;Oet-@}xkYZ%v{
zpy-|QSDWKzKHgNQpX*5GXQK^69zKaE&mZnkfI(ct>%=Xmh0Ka`vskdElizBK`@2ot
z1BV>VG1Hlp)s#;js?tEzFwHP36jZ^SX%6LN63qIXxy+qMmQu$4M0w;Gep6yJ3L!kF
z*of(q1&W-E2M~f>LYAlNMdcMrsvecvT@DKk6_cKUu7g>R(*$M(K&VHH+IQx<3WW86
zGQ2Taodr~JgBn+6RJ%rwSvL{&4FuVS2v(xk6(GVX&muoz0OgPt;3Oobr*D*+WeuAD
zY70ZYzBZl24GDsM8R1-eKff+^`e^e)$aPi@L1_zV8n364yPh4nt^aJC+!`w)go@wt
zIHQasH~Tc3kp;Owz7)k|h+`F+%f8Nu9;;tPzK`(dV&fZBb1@U1tM}M|HB_b;r%wT
zS42A@a<&k7HBe$E`$qCHVJ2rAu*iU}B%dMU@8=y(#||8ezvs<=vEQwq-@bd7k1tsA
z$saZ##$bXZHbk}WQJldzf5>_e1gs5**M#eI9cZH9-An`CGz&WnE$UssW%PT}
z`>rCwNKVK3w@MNU@7zKory@^_%TA8Az8YCM{vgqMXaPy}YLu4>=3+LRrEia|*pE+`
zpJ12+**~+gvw2IVeM=K1GV|Z3ASESb!a;|21_qyHW>_m)%Xn-~Ml&CLx(6)v;>LYgx6TH05nGoCSiXy_ggU$GpjXhWFfIFjBQR@i#)kLWk%
zmuhm7A3-eb)^ojj7I?*Ng8fo++Y?UEg?3wA{WB201~QfKZ?lm?K;!}B45%2SN_cVw
zeI221I@8iPQl
z#|c65bfTbf2cq{mXg((|bei7(U>{Y1zN>
znv7$tcjZmoA+ths#3~2uX%XmlXGc3?kLGbu0}0GVRJ*{@_OJ0Ke@PVQA$%u<$sCre
zLAf<9P)m_W#SrCKT8pU~H?X2E?Yq(oe~d^YF){*9t{rSlhIcUr(t$O?n=8Rv-UvAJ
zUZ1WXThncWnSu=Y8Ay^@foNB%)RRZqr%HgC0uk>Sz}D{}=z`g*+3CE(57`%;lsEC0
zFJBNpmm#MdApZje%o3_3D4-O2S6-;FV_l{Wg4}@=n!4l-3{ul-_!JfVHSCYx7xP%weDc8PA(w)+$EONAWtV>g!i;>s3Nq;vRw-h|E$=+xP)hR=MoY>4X+Z^k3-c>fRm>
zGO1_gkJ4*MZl(%aDzA4@>AP{HFpR*jMMRvf?5%ts2a&+}N8(16_F9wQ-{XZ;8$74|
z@WT|XkOkk#TQZRE;{GGN$KlzT=~A@JA>@Eo9+mB}c&%0BPtz+wb1{E8D?_Z)(`CF@
z)HE;eoz*YnjFM;kS$niroT|tTZ9u^z*A(6p8}pT!nhXC9d$WO-re)YUQbY|6Wtm9@
zimJ&+Oie_j*<612JcQ&b?8QVJ`dM%0cNC6)6<(sKm=;MfZF79mT4sbsGD3&4@$M_N
zwY3Hf-u#dtgrm%ZBMI2)&@Wlk&@~8*Wai|$ido>~9aLtF!p7vP99APP%wnP3CH2X&x&5NO2}-|e
z{S%v>A2mIvuKYyb`h18rMLsnVs2SULgtmfpA-NkK7iAztF+u|D5Mr*xR<0ke1F7N3
zugQ+y@1al1l8tEVs_~OO8ec7MPeoM(e^JET96S=uxX|12wx^v1iLv3
z>+I-Iq=VxVP@SZZ*t;F98!Fzqm1Wi(fYOA%0ZZtob_g*Pqjf@TC`#p4GGn@+N06Z_
z5_ucp5Dp!%%w73JXC0cKrVhRQu^_5)nD_CzR(>PAvww3>J6kSj=|Xs3ngsBUu>+xq
z+?S{(SjCaSJngGcPRsq2b5q8g%pQ-cbqGU3^B?g`17UiK@pM=e!%O}q)6M)p5Bzc!
zv8o`Atzc$xNL@cPMooLfDj)3lxxGiphq4DH1dTr7IpHs
zbBmywz7=);qDtJ^O({XgKZYlGMw<`c<>T8D;1yw&bmAcgSKJ+~!-N2l2t{K8VB#bm
zfK9IbMvV2)vVokPtLja$CDDb%W%)-R#^&@NXkfUC0B4-+6jf0k2}D)<^S0Q{|8h$c
zT~UlMwJx=H;y5$%$;PtPJ(am85yIN(7e6PGY}&Fo6fJy%6@Dh{|MfE=wbVV)aW`En
zrfQ|d_M9&+uqp(SZdO_vFY-Y%(#S&U$mg6JtajMZ&EV5x{`+!dPm8u@nXJcX*E(bU
zaTqr7b=_HLA=fy>CoX+A%LJ>m?wOrleUy`OO#crQ_#dMwih}SBlt`|shXM2+Z}lt;PY*=ewtOm9S-Gv@Z!lOJ?S4D6(Tx_~IJ)6C#F+S4{iP$z+pF+pI_)x>a!D
z;@w1tHg+!)4w>r`Q3{dS+gaqu6nx5&hw+9HFF^?+WHqG(>aw9jbNS8J
zn|K%q-c7tLdz&X@FmP~TVt`c%t)AkU7e{ce1uOjfUPi~~&m#xq5xMB76j5tNANe1q
zm46+TYTMsN8STGII1;9bmY@ns&HpaW0n`Qxi|RjED6<7+SF{k_v#{V1np~~&sQ(KX
zh=VSnolq@~c-49ViGEl}Or@#c;GQQbX%R1Ez1hE@;20qXh}x`ZgJzX+Np
z8NKY%H4}1!`NPlw^Xiow!gYdg`;X}*_gL)1D96gZ48m1reIfgBPfP;~_hA{0D^{?K|rWyYYN3ICU=Gz$%yxW)TpSI@w
zN+hlQyCnDD*y*UE#>#>Z4POzteK~&nf#1u|^^f@fch|ZglyTwg;hDd*&BGBd9b4OJ
zUMo5ACxkEWD~;W`E*&Snz4MAT6&IfJNi@KCnKF(|LoMq*ly)jQzit%2!7%)La8}%G}FLlK%&8yW~UvzjrnV!@#>o^UN5^?xJsPZ0qV(-!4JP!}d4tOfFQG$yP-)W_jELwO;*1JWBW1ONL7
z$uZ+4Ih{3w3#I=ak=y{@sK^SU>VFq!sdbe!8cQ*v46Dzb(9f@P#S4N@=mJK9zF5mc
zq^zz1&>T1r8n_EQEPU*g>*rJMpJ_0nxd8xnInaaj2T(-dmr-so7L6(2^S|}O`wu=F
zk^T3JP}U~V+L)6DIz(;&{Qm#G*4i4tX#4Nq&f(ohBwhxg-V6Kxdh6U#Kr4XUCH8Lz
z&<8?9-n
zzIV+f&Ni+!Utln4^_?^oe#xm)N}U&#fOTCK4!VI8=bnGD-eeRP{03}rH38qdw*9A7
zdU_nbvVu=+&C3t{4tD+D7U;ZrQr6_ZDlGiCc5Xlck!v79&=7MIHT2k;-Q*yx3!6g5
zm>Lf2BeG?OCHr%ac~6dg90V?NN_3_UiUqSp>b34sQTHa|K^|GNo+hYc>=JB|A?C{#
z7{mxNN|8i*BfcvO1Q-lX4>rC-{{9Z2fv>+@?V&>q7|k!EqN9^vz8qaTZ!|4|a{%_c
zWG}R!h_9!r8m%19Pz3ta%J`H#nidwnf=;TuHjEk}ynp`T`E%0V3|U$0dLTwS9RFGP
z+SfPg5_md^cFueGGFpPTb2n`cxl#a2pw%e*iK=g7urxYySqVc9K@9XkX1V1ZyQZ#g
za(;e(B~U2OL3Mo?06O0)xB6+L3ftKHf~P4nG682bag4IXpqXz74U$Hs<~Ii}`ua4I
zQ&QF-r@Loi@qV#CqvXw-H}6Ck;%_nBJq-N>ddh{6h?5CK{PAhL`Otzv4-xFj&J#Zu
z#nXK8+EMc^f+*0S{WmU%{cx@p*R^Yd0H#1{%$fc1BE?oC$269v;ik
z2dN89G60zs1kr0tDc#Xo=qEWe=OJKzgK03W>b
z0^)Q&+XHACJAuJmpLv^>R^Sq_n|9J;c99AC;+i0?43T~!TV7$I8i;M3tlSOcO6&ay
zsw*o{_Z>OeU)%3yjo(}Cp?^H}9x59*;RKQqb;5V~l|wK(^!kaf>g3LyMq!{42esbtBVC5(t-$5)LqnvM{cHRARaLsr
zg)G`a6AqiGeb_QzWadK|`P-x6C!
zk=}4`7=2`XorGs&GkN~N>%rrmoM(r)$c;T>1nsiw@9N4YsOhYx@yC3^?Jus~8I*a8XJx|8<=6
zs`rE>|ISd2+g!*2%#?bDjLCBk=-*2?3h%WmgtM}XNR0x!;5-d?thBavIQUv?Pd>!VL#+us-PT}W0RdiLz8#KZ(?9SPDh
zgcFodh^~;nx3?FekPb$i@IG$ZIsQm`J}rKD!>b@GOMy2*qS~5$_Y7I0q7p=c
zB*PK#fJhKYk|m3PlEgp~5J^fLP?Ab;KtYfwl5@_Ws0gBDK@bp;EIEf^ZtwA&^SyiD
zSMOEbKW^2ldQ+Cg!0g#;t=+3v_pg85-D);lw;VtJ;b!p^@T0##_RC!t1G~^@d
z!KQ=E`wZ|sx95xRE?UCYpN`Z%_XON~d;8pkd*f___a@@K*P5nWrlIBtzFTIVDKN0%
z1Sh%N`>n*#pprF{r$R3tk=GB2e_in!ZMy6}N7l7XiLkO$<1F|=Z0|^L?CJ>e@+uk|
z8?%ewijnPZZfolWV2hVMlUXx^*EQT>{@1USASru$ds`cu4oG9~>FdjIp7=Zkk$ox8
zwH!cE(%-*Vh7L%Xm6gV@0(UA+rY9$LtgHli$1rctUl>Q0HUXq5we2~6uhxvnl?max
z=_e|j9R`M`2bRtO#MJ>QXX%g$FbUaEKJ9goz&;2C$WaZVqa$L|$@erW%KB66>D^&x
z0EnysguJ?44uuM8p%4bTpTR}TtEs8UNF0R>oHX~LdxAgfphl1FSj*GhiTUk4J73-7
z3SM6ME+0h}S6GApl91h**so=KZ|=HjqHfZQD6vwP%GJD?67@r}okL~%i*o`9BBz=>
z-a+F&K%M+~ep_mu3YRR9hKWcu)5z@o@?{z_7GeQT`M}@zYL0){&eqn$-qFTJ*VVN&
zHZJaI+@YF3Rw2<-3^E^4nG+OL(Mm5Ku6y+f?8(tcHb&uhh$jvH69i
zo+IN>IE-9k?m{v$GE{+7|1foqdlJI-$4{Q@0dUAbS2r0pW{X2P)!@W>J+T&Agylnm
z!VEAi+8@v`!*=TK@6TFVxWCLK->v(qw1)*)u&oGgdo#nRdni>;O
zYLB*d8G>H6ac56B&uEK@?rQ8g#1PQ`jM{Gxzr~^w&_AfpBM72K=hMeP`5bKYy
zg>r3(B7Bcx!jUEDFUEex;f2r2ORg!;;q3%eYd?Ir=Ku@K_CSS+P_B8s8GdCsk!S+B
zBn$H&TUt6Hc+u0*kqpqGJyfcf<8@P5%}z}{j|O)kLm)MX)8lB?w(Rc4=+*T^fElxr
zGdnnTydt}ln8j8P&;@Ke2&gw82&)t|PNe${$FUWq_S@wcB$@3Xve|b_+6XNQhlKrX4nTiRZclh|WyPBcUbjh+n@?1N)&GW6(u+q~gI^y43Ei62_4U
z{iQCz?@&{vj!2l#hOOdOZ3_C@bM03LU@QD;!yE6`Cz<{_88GX11rNWb)))3m1#rEJS??74n^~j%34TnF)WyzN8Xa-4re%>pI
z1fRktS&U#`s6vTH*T>iS+%mjhFk^75^il|VP*ysp1JUNIRUGI!nZ>uvJQMw!&DuUG
z^FHgnWQD#M~3kwN-L91&G^q8exc>aSiseM4MrHfC=Md{<2ea$1RJKQC&AD_i{
zTZ!zSa?^^r?blOaeV;it5+a+~Q?@&;2qesdHd-`>C6g_xV)HhuA!~u$?w*!6G7WSNzM+Ukr$m
znK_SUMSk6z_`B0HNA%3gk2z5xte?imsG0R$U0oOF6y88!z`(&FkFR;`PG;r3+u29y
z-R`>OXzgzr9P$)8!I#J1C@?wk^5*$(yBDmocRvpMSXqQ4+%>OrumY~;FP2R!q(M8^
zUwtcwjk|5GsN~E4lR$A6w-*X^L_K|aVBP^y)k(|2Qa;!xVJmo0P~Fe4l~S*2d`4f)
z@ZhMVF>kBxjLoAg!qm|LG8~&%Q+gdXx=y+0rj^zDSBDJF^*2xLRP@K`5nK-w!sCF|
zX7`S~*fgLsMHLt(TWveGS1)#!oQS#HLZFr?V$>f?f7f^TIJgnfs=sPQod(}ZW~E>|9gRmQm%74r|7D(si4
z;Ux675i_{LV)A@jE8o=rtZo~YYMV(Gou8a7Ya8uWM4D3o0Uow!Dz{I9y(x=8J2Uo$
z8V_)Vta%WHZ+wb0Mt;2d!yl_J(-t+I=()M>NGzx|(@yj>AIohT?UO#=IJP?38!MHxY^+spnmYIlEu*9wh=v2*`tqLJyk0
z=+328uaUE3U*o4Ye}TT6`RZTatG_xw(@W3w_LVPdjDCD>e}@a-&>(^|f?HWGH%m-EA{?>Qkzt3~OxKM`b78OE~s6lc76-WdwC2M?G%i_H$Psia(^L~!ay
zlJEY_1^56D1Hqj>MaA^vy}O=G>5{P8arI9jRfH#D%J)6U5Y_!u;uo8$X-V$beqJ0C
z%OxQqp0E5&6~FV~K`(j)2?+t7K4NzSQ7|#`rYH!P{;brqtD{mYFM~n2rAXH?W0-!t
zX*q#Y>&zRkSN`VaIB+a}`qt@!GYE1%jC8dn1NYm29*u^U&s;sSH_h|%ubb>Iiys(x
z^-QR|MYvM4ads+e=2q8$efo;YXj7Jxs2~&4;Pv~kY()vM5fo87yiKgn!2{3S?bC*I6aCU0D*+{PQE1-x6v
zzeY~`E_+VSTG#E#3vtiH5$z-s&#Lj8VWM@;2tvMaIF1biH*$r&EQC)c&k@$|R6gJ1
zbH~GF7K5<B%4b7RjmU=MC>o(TN&@+p5fsV37t7*h(zTM%Z!ZoMkVU
z*};xdDsW(8sM#SX4?Dqx&zYu=XeW8lV7vEn_@QoQ1X1Aq*L5b?wS??Tj%5kK8M8!(
zJl)Xhj_;fpgy}K*&`8&Bs5jtG?ksLb_m{h*zLf5p+T3%O==^azPjpLdP+DM}4nasm
z42B_&NI$<&wj`YBY$`P9^8=iSEh7iV1-tJ{9wo^mNp+i>T-}{LZ0Vd>q&<`*72Jsb
z6uxrjgidj9uIU6Zi;&kfy@!?Ry5Yn3Qbng*681I?VGz9WpInI;q#$eZ%S%d2?hZpF
zuFTT%0;iSk+N-U1lWccZK3vte7eCojck$ixYcA`Vy{ie?;sW)I2u_tG{Hr2Z>NJh<
z0}WnjsS`nTzI@GTbG?Fs{F-q>u`i!ICdVQ%f6v!{>L@01uB}??`bL+2o{TBcdt*Pd
z2RYI}K@vqq4AX_^Nq&p_Pb2YZY|jJsmYYY&3^fcPNc$lYlAwr?ckz4D^zmmlMx}hv
zP7^M&I^Ol(#S}r7NqRtrTu#KaC>rNV|6S5E$}684;r1bkDJPaYM(C?X!#US8nT-Sd
zjt`PQ>$*qw*K*$Xr1(#F|HW^SJETPze%7{=?Y%lNHqL(ElN^x~`CCrXGypwR^T^u8
z#a2me*{^3-tF@i>xup<}N+fdWeQObE0BW6!pKlI&PrKSzS%=-3o#Gkj_A~*Vb)H4K
z2%fW_F%IDlW4M(O=FW2A9W_Y?_x>LGX3a!a&(3ImM#&ht^NAFA}(*vps^R`)5&fv2OD5>6+p3x!s1co@&0LzuhZyEUwqSR20~E+8^8MQ7RUz3CF|swhZ`7M*XL}
z1o6!#y9bW;-0Xc=bAs14E)JjP%P!uGit=q9a?)3_gHL+ArQV~uMN+R({|Hx)sG##>
zzgi5E^!v#vAmsXmSR+T6e~PWF!09R|GeQRt2Eb;2|0&mWE~CHvt~C8L4T7+UFrt6^
z5$sMCVR95RliOmzVz5n?CrY_Wj^s==1Ww;|$AA)^W5tl`Q#`|+!e(5_P1npX%`*>n&t&ss~R5b`cNOHm-Iwj|l31=&+V_V>ec
zBXl*(PM^1O<~n)HBYBEh#$-J&lYm9|gh@gWAPHZm-mtZ%t5Q48$B?D<^BAg~5un4Y{33+|-F|wy^Y}NY8D386}+5Pi*2!iMMJ$)Kh
zxG~6>B}w6sMvMAAs&xO1izFfY$VeZ5!yzYf0Hbq9svx<4Vfd8&yYr2{R0!V*bZq;$
zcwubjG^}Ihu)6mDn*A^h-%DR`rTQg+k!W!eb_qTD5k3ZG^gtxNhqNsuLV~ne0PTzk
z+$)Fv{r8L!>NFl$Np2_7CL?{E-{PM?zuP;{zO;RfVgsHPJ36QcBMCDY
zDxB3K^ys`p0?+{&QNdGEq+vzhha`d0f&upoG-6j~b=@49qBELm`Ta(?sjR3*0g2)_OrtHkebgndb|
zOa!ayE@^SlJNh4JK+sn(7y5>@QkXAZJO>
z7M;yr2`uP#1osxeJs53YjTd`(W>rArDND`4|m<~@hbn9EBd`0pu}+V5z@XAC+$WS3=`diwDI*7Mv&K_QLxs&z(tC>yA-fY=vWau
z5Rhae3_5D%zelN)gTR-`M;fo_Xl(lUy3frC81B(>Gio=}X;0;V6
z&H4A$Z?BU_G>vuusVK*Ldu<9l;dVeD$8JjiAWRM*oW{F%?*P4;S$DFvvs;C#7g=c<)~2xvfdw0|yV@&PoRD#e($53L(4yf`FJLv>K
zt`y1&Mesy^x~cE!S?xAIlnd>JPao7~+Y6iQ_by=N<>!CZ8x4IfOLL2hMTbl&A{s3B
zp@mX%*2$zfpf6Y_3Uj{Fh|bE((-PEr(GIkF0JnR3Y=EYOPc+!%ot)A^7$8N$t~~@gs14^pRhkEMYFJnAYSv3e(0@Dza$F^)(kE2o6SgfsL5L(f`^4mlZt>xO
zZV0#pAMC~8bm(YtHD>ux$|M&c)aKDeYe)=hX>Fym?E=6&EQ~=-PhQ>+MLeM#kuC^0
zXy#6cWtCcY9MOys;ennbEW%$D8D&x-NHqQML|!}OZmmF7sL9XL^S_E^wbJ$72VJ94
zcnCrn$t-=~t(wlt_9%6gS6L%_Cpx*QhWIOfR
zmk*{nde2s4kt5)oyr*ny(pykX06ykRX(~Juk(4
z5&NZ4Zy`83!B5i{6RxX3A?Zya{bCu*nq_$on=zp`4Y~$Mkr4vg3E%80EMXU=&MoDl
z8}!)~hYmCp0NMpYb~7M<-4G@N^jiqs&|PVo%fs$NHTQsxS~fj1^E5J&H@)kt<1hr3
zN}wn!iai5Bf4SDfl`g@_5r9CqYMHF<2ed&7vl>xkkLLNFY=ZftY66~rfR4OY29w}I
zweD86&cL!2Qs5s$DW{~QHX(;KW+8TOHvmwe#NEXw+CqDF6b>1bb-Kx>L>~Y{s$V1o7CHP*+$B
z1;f8Nl!I+RHJA@tQD*aJWPgcGByd)fGv?}{Fm%E8%=Gk5`Szide&;Jwju5kG|K&>Mfdbd_Ss=H~p%lN0>YVspRyA
zU&;az_%u{oikEOwpr@y27rl8QUmUf!mj7J&JZXhZ$5O}!YKQZHMC#7i#7=+EMqmF|M{wS7nG!C
z{Z>!@#Y>mc;80!fuZL=sYMoH+Z|wHlylP;08$y&E%{3$*4zcD=e$u_p=S8qTbTsah
zcv8oekvGY^KI7L9Ah^CH@*H16fH;A0t4uWwNow7Lc=RzXQedw^>+N
zvP()XI@Yc}gF`G0^xshk0Xmdlfx2E>pB#O7)#RDaH~D|M*#+$X)$jKiZQAPrXS
z7}TDCC}Al?y3P$ijnF9wK2b~dYC!}TO;OA>tF3BlGA_Gi{Gmhf{%I&x24b(DbWL4!b1UP^eDz9cc6OGGedui86BV-O%SUzicyu#_TfT~PAMVpR9NBc0
zfxBTV&=To3v|zRgW}aVoFWA|+VRW(+gQ%L_XTU+J_DnQX0?AIgH*UNNTsP13Z(1anZcm7bt|t5`RJV*Urnj*x1vK={Tn4x
z*e!aNraZS^M%Gh$*-MR|7k#lad9#2o}}#_Onzev9l``4If?H5Mj2_
z*+1vWXMbeVfxo8rYM>5ABd1=aN_g-6nBDV#7Ky^yuD7n*UshIDfMM_hkW&$$9lFLK
zg=M<3nv*a5qS(*t`7mu18@E!I?So#|QTumxe{GtD{+wv&6$KM&czdP%aPsOZv20>Z
zXLieudBZt%JEijQY}svsnm8f!A%`lPL&hutvS=5nf4#d&vGrYl-mSp+Dqrf)On4SmZTOg8|!CuSdX+E
zy=MH3t@#>%aYHX|o$EK88wkkYk>Dn(nx~KE!Yk}c_{BQDIoR0H3g($h1_mA6
z6We(3v&s)-m3@p(Tk`3Z@H;<=`lh7c&oWhK?VwUcuNasAGm>P$fitUUWKSW&ZMN?!
zxq_Kl0wD5ynT3U?KG$L__LDq~E9yi|+~g^Y7-;Sv(h1DqLq)`Z-$qSxVFT`=Ml$M;
zk)v+A5kMUP8SzrUJo{
z>MlosXJHZCfKcN~7k#Mkzbzzm)ZfW?Uk2{1W>7u0-zT{_|g=_2s#gC$8936OA%id$yqlAA8t+1b@p
zGr5nAjY$F5iq8h>wu7G&;v9~!zRJzj6s}#t^JOL_$-#m72>m6>9fHFRpDI0HBRZMF
zh>S{dFo2EouKEzNFA4yRf>@xR+;!)fLsJQBH^<|^Ms}>xg$OUe1jx&hk`ik$oA9Y9
zsSJ!$00t1&DWIivf{$US)>&Rpu$Sa`p^k;dNfo!q5cFl?gh~PWI*39i=W@KO
z%n1k;!`a6la^pDWQSrd+?)o<5+W+`=2vM$vp7qeQaY&}Lw5Zn-)&^|t?R%iL#>yxcQ6iAC*=!e$ji39h6(=5(
zk*Vz^NJ&dWQOLaTb6cvATZ5XBV7u|D+1S{yLorlaTic8J`Y)mNP*E?T?S&+7^hbU*
zkL}rV*J1B>3zsCg;g$IKUy^yX|
z0@dXS<7etS7=0G*2hXDwBnaQBWOcxxt=nDAw}VV&514W(6c+~L0Z=EYpOb#DT;A)|
z!v-*Nq1qKaZ^+r-`chu^s=xoTZyeZk>Ue1M!?fhiCFP=uclmlFIVFJkPvzAET{Kswt0`K`yhXM*D)Z@`TJvKfF%O1Vt=)}V?J{=I4h6_ID=BI
zpk^wxJYlqX?N5PnbLvCq8%@BN|1ew&snu$oP;m03+7>iY@F=wbp@HG^sYRRIQG44)
zD_0N|HOW9z(}b}TUD^PMrd0)bPyk-w?x^gpB7P;*(d%XJZfom>L9gXccp;PIb=Z^L
zkj=+_@w3x1^caU0VY_$s4F^>MEi4l}n_eIR47#5N&J%I+K9Ew@r-8H>nmV_a93C*4
zM*@=4O44@MC_6-ZTqw?^Y4M`5`1{Rz?0>0nM$*=OhH8-npf
zOcjCi6efjFg*uyJ8M9xDt$K!r@}Q-V8Bierv-kouGj
zn!x9=IEUqaFcuen4cdcv=dD1N@X@I^1|EsvDx+3pqSsOgOc{lP{_xNKS&prw*JgG9P}2R?6xe&mbyCJnX4=u*?RW;c_vg0
zu>}GRI}}6){>0@gS77^OqK@tN*Y~%|eYeXavZHe}27OLqkJfSNF+~$IMBh_&6no
z(h+W11svh0fU`tJ?FSYm=rk<)0ty1X9LI92@2O5K^;-OkBv&$>t2*+39K;F64P;UjUCq5Op
zVrneol#98XKS#Hj?n2QLU{`K@RP-n#W0GbTxDe4@`>;)Jk&|lQBV&@}!lC=%wAaRM
z;toe$h><7iN2bml@S<#4AIVEgQ-+&@!I@)X4r?&+^pQpE^cdq+A!@v1s7I
zcXtIGG9o-0o-7dVvQttN=Ie=dd{f!xglU|wFm3^=K8z6~&e(L0XE%*Nn3)>w5s-?J
zWtey3E{t*Ap+b;xFiq+mD#s4OV*wtu9Zpl@2SJ=kM9G5T@7(k>em?Qs?H})ZvJHc3`hB2%
zjm*aP`#fBpkjuIS1nX0i`$B=aEMon93bLh7K#d&3YN*OQUpXmq$5c0pd!8ZCel07J2pU3Kw6OALkB6L1ribIy@e7W
z(g_ekFA0IO@&BIZydU0==id9}`WTX|XYaLV&ssC{o8QdN7cC8?n`HE4AQ0%L@~h`M
zAkfu!AkY=ijcdS&8R7v2@OJHus?u}d9r$;m2nz$=NIhN|dx1cVkr%H^vCBKQAkagQ
z@^g7T|MbmSzjQO7mh+vX6pOlgo6#%p^;Fa@vFIqQBhVNj9nAI{P5qWck(fy8~;AN{?7V;^)Ro4Bha-pJRX0>^!wfXL7={o(Gz8|$Tr|V
zQ7SjjRDd=SjZ0>O*41$_#UAZ_j&W;mZ})`F#^-l*yet^Sgfa~emp33KMSpc5b~lA`9cHPdJUbxJBJE%iA&SuHIp
zD$-5Uc>UDJIPh87epOfAa|Z*zdmcGhlDUak(d{X@5kOur%o}RZ$sw
zP#TEG6bk!p8kL*F46@EoSM^Oz)2dpmXrtQS1g@mmyTo4qH^bjo$w#1~mX-@qlUMpu
z^1KG6>osFSfV1@t3?P!YX5C~n&o6H96FYP7;TKJ-nL&beh=nL_Hf1X5{qK+BK9@iJ
zkNbLn*<}LF`b?Mun+`vc3}^hWoBJ9UirlyG&jIt9bB#WO)yke7FCG+Y
zhNu+lsl-Yj{`hZm(1ThCTQHMahdB6N2Ci#$?_jE`prD|nxESMYYHgiIMn=|jGe+iY
zC$<;ky&k8;qz&9ydDVZ((7k&P^de82xSNa^8!Ofo4#DrsNFTB?pL{+$?v!=HPD2IN
zb)isb(?$hsKV>i&g0c>l$*O2t=TaU)pB;*tF8;^L#p0J;@Bah@(HwTr6P@$7&SI9d
z`hE36OZd4Xc%iohukwYyeRkUK+e>dPeC0>BQOTASW`&w$9sl9bGcj=rDw92KrF!N*
z*Zl3s+r&N5rGgys|5XM-$`@t-r?e_hd!awfx8x;PN$Co#U4;5
zB_|*4IsA<6T%13kl{@Cah5eUB!rcpPKxwlzHbY1QuUUns4S
zzx1_x7P0TcC#+usmlN~n1-?>&ls;Hom;3TuL6(To6b{^X$N*L{5^JRF*=SZ$Qc~^H
zmoDzLUnomd_F5enx0fXtqdM>3zwZ~MW@R;hMyI@X{BY*T$|2RR)U7)(EF>hvJwmj|zh#a%n!p
zZZ9qQ&)R6mcI(KExRTa)(XG1FN3&p@br2x$8n@+1RDR6mF|~rL|Bm};TxtK$mS*Sb
zLkPaJ9&IVYQg&YSVfnH_f
zd$=@`{UJrF17+raM}V%#XI+!KGMmV$>)rRXQ!AL}-!O%fk`Ks+Ho~o8KH`k&0w;k$
za#@0ETn|@iP`{Wxwvkoy9zV*h2~(}6opp6})jlq=lKvZ$Kv1!JbSPB!o>`1??wSl!
zY|YJJ*~OaR*Ym&&6FcaMKv%vNm|P`-XwzfX>E!-R3{v`NfxCR|_3M*4qGhi?tamwn
z6qCrteuuO-tbpqoW9ko&(q~w$KLXJ9q%mJ59XtN@n)BUhSWu|I#reNPEYG3
zO@MeTdVb8W7lIKA@9cH-&g5y}F(_n4@{XnY>&6bKgZ`;8^1kXXkoUY$I(~0xZ@)2@
z)RWe{5TCwOK8A=e&!;*r!CQI%lM4pKaqpdsYN|CG%L2A;tre(+Or-9)$+XH^VPP;89u
z{F^*57IZ_7L(%+F8unwzvpW}Ka`0QAOKbVOjP>L2S-YT%pJKmVTwgZPdQUv
z42qpzOj|88SJpl}osLygc1#J(_X$B$T_9Z05cejUBKxlH2-OA}$(v9y7G$e9zToNX
z|14MhX3(=ocjnL?-}hysagM6FP$go%I%f9O^RKMh;UkVW{a`-6@^Xr1CqbqvDUf?g
zxh8jFp1et=pZ9e1wR+EGKG1yd&!Z|`zWng-4Z#Ea+mJb>+&5)&5`@xJU19hrHo|e;
zOHy>huoSH;aC>k16)kI5x!y8Ovw#M-<{Uz0Mcv0EL7D
zt79W$_)Oc9PdulWBI{#bgeG;&sAw<5w@FsQDK*;SK~#*`)Zt`qUip!gM0!-T*l;K_
zm^qSVbXnhJk{T6aBh)7Qe8S%UjB0<{%J=mr8Qo{_G=q!Dzgu3F`}I&~VSC-wma$c>
zu8|$07E)|e{j!m=@24_Juj@e)*>u(=Z-4wxKQ%5RJ6Nm>+(^n;=WsPF3>Dwqcj>}>
zJ&d%j+@O7Kcm3s)HIG#n`>yXSm^KpY1JuegV|}|q9p3W~7Mjc!iItfa?xPv&B#Rwa
zo+Be+bi=CDZ9um*T5e54@>2%H_$1{MSefdCAubfk%=`MLZnD79PyBM~9#8Lz{BxdN
zp8#Dvf9#L#x1+;xPMx36rRqmT*TTzsVfIPoaJKH6An1Z(8GleywRBEabhDb<;@|El
zMQ_K}Dia2Gq@mM_lUFX(iy3AB*hmll$6;CBj7ajkHg-gtGp$8jT@p<8)`bOJ*#X&
z{|lISj&rHh-8m(U2Y2`w$3DHIodox-x0(JTF42(cS9FY(EnOZft*QSSzJJ^V6-;UY
zYov^pG8?AnZa7(>!qQ-&31rEqimszFDNrh<{6-~IpS`t;33d4}&$)mqb|e0_tGLaz
zQJK*Y{icFo$YW-~QfJd@by;_#vSbBRkmQWTTeqpAU!$?gaj%k5v*fGXfm<(BG{lRu
zUS5FTzgob~0_moytrvqu%46D-o~cLg1$w{L&glsBoHz^+uT>XK)=X~uDWbU)K7`ab
z=QG-=Wh=HtLIoMk(M;*CP_D2udrwifntdZd&fudg9f@+JZe@ImRbyglK(bpPL7CAR
z>}X+}WKls|VlIPFx%)N)saN^c$*(6(MvGvt;gKKF_+dIpO3Sjye?H4L|E^O;Xn3O4
zwK&+@w4N+NaXL0SDq6~T__l5mSz^y^*95-_!mg{iOMu8&4wHj1R20-hW2qeGVqV}K
zaiWk+{cW64zvgi8&~e*;|M>fD69c`HA8p0fZ9)fCKKvV1<(2ym-=uGArUe$an3F5s
zhSowI|D@7LbXw*MkmcM<^U1o$lc$(ZZ6Y1P0_-g`QETIezF1|5-jc^!
zVz%Y#{d--`6zNljVy^?(O72f9Oy7&;Uh{S;87%!8MW(-I6E6gWvsQ}H&DN});qw2U
zu})U?>WMut5KBkAff23N4;BMMVhWDj)(&NKN8W}tD3=RWCSs(XZ7P@kCEDvZ{|yD=
z0#XKUDWX0BRvQopbD%^wI;I2YaH=$VPoB+7wU=@{!IJjSIemBEcte8hPl}6Lm8z%d
z&SfFf6f*=uM4~TY*`+cetoPB$#NcSlqD)0re}fjeYSY%5u*97aW-$KhL<6ZRuahDlZIgRzoJNDpt{ARwh5prJ)ao^)ML+Okkx0%bE>q;pzlTnP`ve$COG=Tp&9ccB^^L|14Ix?4L=0n8M
zI@Jyi$ppLFXKSrTa{wZ%s2Q9dAR#8zmH}HFlfXz*D`}M%A
zjb*=Wb|qqod<=!7#Ump+(WlRqfjKSX0Aj;DuBy
zIVjQos@!#oI!k(j1gI&%uRL^ODDl7_4SrGLf5^e;0a%D!>GKu^A4Aq#GJ(;}?iH62o1cn?uAbs!v{&pd%BN7Pk7XOyaKemLs`Nj>mlJPXN>gsZ%)veMN%8qQKS
zjxtT|TueP*`AW}#Y3fC}9^lq;kf$`$GJ0P|OJlFb4qp$Z;qvyc<)A}u%x46$H=FyG
zJS`yO(hE84o?Q40Er=DGVkpJ
z*BkF*D6Yy~A-{C%9qY}#y!V&>9vlwMZF3OrBiDYU0JudPDWY6(kR)BX0mg?<$8DN@
ztLLK|#zw1pk7p)dw>f52j;=w(37^L0Ct9toC&&~Xw$!|F(h-4wr;VT=JTX9SE5)lt
zs@_};5p8oRn;8-GF&qt&uty<$f)?*c55tuQYu$&X`+I%52MYJgn@;H3m=#CF-)qOK
z@pAHwUg)kdkzd56dKzNx=4fVr9JvuwLgmA7_CwG|fB1Pw>E;#2bKih*|Ffg&2w9!Z
zJ5c^i@2EZs)qDuPX<(rzIrbh?USpmNgjv6DD3ZKmz3-PtNXeQQ(Ra-_@Xen{pKq|q
z-Nw`bywf2dC`BawYOtxJ-@_ou{YLO8{JRivUn@0kTGbw1RUh#8fv2>ldTTAO|^)9!b%btbzfYH%iH^^
zhF>flfA>g)qmwKqkIQ72iZf%qE?Sjx*5s+s28~_UcTUW7ymDZzYaTc@Ek`e#r}y^t
zKK}BtgoM5-jl=y>mYs}dn0
z;bfZWc^{TFr|J23Ik3E14kIVv=~T*O1rCec1(KtqogyG=U6Zi`T_Wx3)tB+URkbpwUHQ&cl*54C2@K$TN
zEndVlOu+>Ao;
zv?m?f^T!0{t4sx(rOj&04j)&PTaUbdWQx@d-RS)s$n6HH6`A8170|=&OiPF`cAd=t
zNCPE-CY|#vaFsa>bf0*NV48E>cwi7*;*lPF@5;MT;8{9_xI+D2
zVxhS5u-fuut5mL76iS?XLU>-dZ1Bf-wygQukPJqN73hv#%bhtl;NpGTQ>7Te(X0@W
zq_!33&2PT5I~0+zvm2g2;g$ftoO}V?^4-+|>~0JG!vjI#(wqVOTda>K)VMOhi){yM
z;#S(?RoHSEzXY99I;j{>ooCL)z`2sdL+S`M8}mpXlY6D3DbdJEQY9WXKjKQ6YaM&_
zL@Q=QW{M9taOBG9WzhDXcga-eX$W-1$5isIvHs>yQOOcEr68O}kSVN&Cir}J%ecjl
zF$XUYgAT7Sk
z{4NPjmW8#m!p;4;FPD``<>dn%g2+V-7MgJ>CKmS}qz;d0_XW$_)XOyO(YdPZ_xF7b
zl!U>ROH^$u6_?y5xzL9N;DP1OQ0|{Awx&c@#Dif2z$vnE%QC){c+u(xBsDEJ-n|Qb
z{XEap4PAYXULD5{C)c@l?JhSjGNBLsBz-{)*&PjE_p3fwADrZpHVKGHtoD87Q`0S|
zoMTrSU>9*rY6*^fKpG_f>rBStj9Gjkr>x%$Q+w7FTy@>}m?P>8WYh;P_IJ4f$$a$?d>;y1{=7m~Ho_IMtRenp
zs*-WPWkK{@vjS{xY~p>|M?FZ$Fe?wD9L&BjaIw1g*8_ij*W29ZvW1LiYD`)zEjT!1
z1i!9UB;iW9?v3(ysOycarT5bd>Q%4Ul2{-Lt;v^2SD#o&8#}tcPtUm)P|vUbdUiul
z2kF<=Q#ib(Fl+KQ%I+l6r%AfF_H4S^0O1s97{_Cp$lN#Hq@*7^R|J5YLjUCkz9UJ+
zn}CpfCv~RWXHxx!1>9ddoKq`xl7jWox0QMYiacIjwvM>=Ljyh*_;bhjM?>eylZscq_TSU64F~fv_wwB
zAoBtMBM;{7PJH=vUt>!J?+g>MIG13}MQL^kZh_q1Ml~O^3CRR3UIn{B@cXvs7N(h`
zIak)J^Zve5U^+Rp61z)%qfI(
z^clEJeo-NiE!`09u3wZULBb&=N{GA;aZxS_CzIsG2RlDi<{C8LLmTZ$A;flbv~GP%
z=`Z|*ZT_8*ou9x`;=`>{KYH^j%NAEw;&3b!v=)_y;o*!ZjmS2u@HXim<#8Okl{k8~
z{XYVRT9$m$^7kJ+gV`Di=7-h0j}iO1$H8@nwpL}ZSNzeq_NL`MmdD{z!p^QTC38UTIgE}l&wivd@$LIUbb3{5ljkZ(2Y1zr|X`PPww?t1Mku`RTpg}2Pl&j+{N1wgQZO^
z%GbIQk|-0qZo7^iHD-3wk^TfcD+H{emzW6|8A8_keBKP23K
z_n;u2GsDh-Jqd|GiC_*R{KgYwd?hsfXXu<#iTWv9auYJs40_dnFF`fVZ8`+{UvcQy
zZfkM{PP8z5uMXs~}^I%-1J(@@c?*1IUG+SeG
z7ENx$hNW3~iF+O+ZLVH}sHo+bT$ZsflDFkQ)0s2preT)Qj(aMU#P#42D_v5dZ^kLZ
zO7HDnX>wkv(7M!tW_bwA`Nx`5srJ+!BC+sr8(zrN51xbNAR-0+l6;guAu=Ma)Lzu#
za9Oga*@|!9R?WE8vlUlWX*-f5B=^B+oT0$vLC9@T*+Wo|(BSP38R9$Wy~E
zS6V?&96)B&GCtcvwh3
zY$ukDwby8rQ(xvRB*3q7-MdDWGUG4r#I0n@a?Gc>*l~Lb0oFyC{D?h7mNna~Y$t)5
zKloL+DpU7crXUERWdCc=sGvm{e|X)-bsu*h(i#t&&ky$Gh0XlEkRmT7ihDZYsKp^k
zK+ymYR5eEHCOp+AZoF({sM{~1np6ZOGF%$^r2xA6_m$$!hrd2p&$KuBbxqAi$i_b#
zF)t!SX69wH9`*F(j|7%sfAKfPQqoyHJ&mgl85YT~5FR*#P)@`ivXfZzgv&zmHSaSP
za@kL$sD@bO*6U4BYtFzv7ZX-{*(2Rb#eBk^2<4qz`Sibg0mf*)cX}*QgdJv#yEo{i
zSlj=cuedBNbNa^Iz(Xy0?;fpNNZ!7Uv{p#Wj7YtssJVr3=H9{Pd@P%Ix>KrGUY}w`
zZ~ll0ed*|4j%%P$wWRfN!r{Fl%x0wtt$NJUA3D9oS^Bx&iQ!(x^!uTH_W`&+9K+!g((n99R;j3#qX<%i$gIi0cobvO-Bl=qWF>Vvt1BTwh%&SJ
z0?e-Oe%!_?1%SqG$bqgJZDV(f$&7CJzJ!tc_zbhDuAZVHN6;X5*LZY{INWei(kOS=
z2uP-vu)$L{CF}`bSh`vARHL)uo&l{5MB<7dz#83crisu0J!j}t2u*yBeQeqiI>YlEQ(LUh=F?kL9la2$
zf4Dn2WtO&^3jw&b&wlyg!$^fl)74`oBfkA$$5ta%Z0d-%c?-eTRjm$#jo;0r68LBY
zh2AQuj}V6;KXuzRlxD}i9GN1u2pU`^g~uEUcmGV)MQ${Yv9mh$Rkt5su)S}rcp&+u
zQ5;1x9TdgKKfA#w6`ita3qp*{ZV=;v4TTtfGUPn!=r57aZO=r?3|9=e_>eE48(mgq
zg+>}}R*oXw@WUyxQ6?AN+!x7X&AED+$@guzZlw3avHf9^`#de;_`4<|D`e8LyR3MN
zlV|!(O;iC2b|VI|EPLByT-)@AB4Ybk^U$RD;!Z{628T2f{?u7OjKjgTJ0T}#*};DL
z2aBzroyN4aY_Mw39>Zh`yzMS%p$l9WkTL1XKZU5f&4g_!j#L6@r%
zJN~G-+3;P%*jYNK+8Ly)m`~6+kF=4r(kjWz;vS6Q&^%Ji@5=>k${%}NWan2i=Il5&
zcQ~h-7g_iUA7isM8%9|t^fsF)9o?&+&}aTLSgG0^;cO8H?Y~jj^4%^!`g;dm-5I@K
zt^3b$i)uecde5opQ3;Ug)qGc~?*2MQ0`f{!wH+WVfJq-C2Ufyyf
zq<&Jzn*@y#MjqE8oEx#_G(tYctxsp&h8evZ4p2Gv7#mC5WWw2aoxE}Zue5BbwYteY
zNvTUi-1AuQbc!I2dSUIu>Y#I1bxe^AVwD}+cju9-dMze(wz5b#Bjly7nr~f8@*Bqu
z?AJPk{l*OA#1H8?S7arts`aE(*u}C2oX4}F>)7iEKZ9HeyQlw0hpD@F=jDr*BO8>Rt6J?6z&;N#n;3eNdLlbby?0^?z3mr+OqkuZRUkTcCeDlf
zc>P5fzH6Ycw)^)?lu-ljj6(Q+v
zuq(6tp6q4ivFC2_q`v(~0Js~^3D??LrPss_fX6ao80;YNgl^W(0?g+xIYrQ?ywpyQ
zl0Hm=Q0Hcvr7*lS-xGIBKl$6*893>%Q@h5X-CerKtmd8BY~RRKVOfiOLFKG#BU+O>
zx@N{VzFsY%+1A_*fv_#uaxmknN%JV=q!||uvOw-K@tu3pQTCI@j8XO4uf>!YieO5N>Yi?l$sU`Ae$J^-&ifeJd-arwblpWgcRF=1K62>Y2*Do7!uC
zRH+$!bEV#U-qd{TZDpMYZ}w@4h%kjdtTsIot{jSYaP9Cid+;F7QolbQ<Lwz5bzlb;ABLrp#BT!s?(bV;WjRJegCHCF2s3pQ&7^?ldmk@$hF)}F&-eZDkpzH6>_bJQ#k<|C
z9Cue@EM4nzRH4!9y6v27f5b&o=Kpdlf;Yacczeg5Q))|51soIKmpF411<*yQrwr&s
zo~!MXy#myX!iqUS5~eL~;MuU`G{=74K|)p*U|js0#Yt*)BZ>;!bS2q+?@`h~i|K%e
z?tsiAYfXLsQy2E0j#re0X8n>&Xh1G#C8x230)R<#{Kwy#Qy#ddSB^9u0nodD^vX*<
zRov_lT9J19Lu>ZwSqvkqsi`SVEOTZ*&3EJf1~M_;=&)KA^Io@tJ=EpNWSe_AK7VZ!LqqwZJ!_M0;BCmmrMj9-Ob9R^q}DS4N{{&*5l>*!&{@>17>VOOgK#fxCDa2K@
z@7s|i%1M7`Q*)^tU4{dP$W4H4=6ofbAp0#%B!Q3+RpictO_=TIe!<59d-{kuZk}NV
zTYaZ(e|?(R_00%+b+-*8NF88(hPcq~-4h`}iuTeNLzhXLf|hX4h_odXT(1IxOeiM@Fx&U#KGx_swVv(50;z^4nxb!qU>n^R)ci-z{
z{#$<3jFLi�m%_z?>TZo`&1PC;iQMLee2kH=P^UkD$|-R=2#>W?BRw?8?cm1fe;c
z+hp0Uedr^@pz;O9$4?BTmH)8-F99R$t>*VGmHo(dIr}|Oqx}^Z0eUic;~gdKlS@Og
zX{HCujE(jNQu}kJ_&-~&f@~r6Ztt0#H{cb|hvr8-4By8?ih)Shj-?LSx>QJEZYpRz
z0i@BF^Y)TQ+lNhv4WT*6j`H!3;*-n~1IVe_&F!RaXpqJD%r+&8IJq3JI2e2S8Q^C;
z>&)-FBiSW0dn6J%D{2wXg|kkfIwUkL60xjEAftx!8Jb3G>>8|lwRbwF)~meGsC0_A
z>i@bq!fa~b7#nWhNqGq6sWB1+Dstu%j+j
z%lgx?2lTtKmA$vC&gbkT%t{dZt5N!X8PeVYhP{0H#61SjKh^xAS14bCK7{}c84nzr
zG$KLQ;=p<;qS%4v{0%MikJC%$TJ@$cx<9#br9oB|OsO$;#wt%T#+sO}@<{`54h{JC
zEE5CgCil-T8_1}&b#O`yJT$CZ1FAV#@Re*|p`7|WB>2ez5~$m&0!afSkiVDx5@=x>
zKwEB@YMhu=wlNo5UsLEUbJjnb(S!o|ye-rxfHs4;Fyf0s>2K}(1fg+CvAuL>uXL(y
z8m1v(p6H;V7HiO)bBg8551jXCOSyF)n`pDfu3C+
z$~wiPg`>nayr+Zo9bw&6=BWZiefj8J*R(*IvsWXF*tA-4E7!&z06W5N{@KNj{kmm}
zm0e>&7dq_$K4f!KjjhikamXp&8a^Mdmn#XTCsQFpC5Z=e7
zB&*uqN%e-??Duz$kixeVi$qnqYazc({yMyH*d+;&oOn&08l2M(hWzdv1Y>p&t(bKj
zemClf&OZb&&uazHCwW&#HUghkq)G6QTKLXZD}q&PMh(;S(YJTq?e=&AHtj&Jx1>#^
zLQv^QNJX&DZ^}7KJvX?vPfhrBV2=QGWi=d?N<%7CV7fjx(6rW{$f-DDu8wmwtaeYX
z=UImw>UCkpoETbFrVaCLa$2?rx%|MfFh8C?t!h?nkrJhxc5N$nUe2%4woOthiLrI#
z;TUgj?WagjLT$ZV_rm-8$3PK%iQ&?%YtZlg&`IpTmC{EU0Y;RbY?D76kV<}1<%QFt
zep5XyEHvX`!aO7OPOF?5o%E88Hfh@N%8D`AIjq3!33&p3Hyw!U>kPu~Po`aooQi&;
zyrZ}@!=)CSVhdyOaEZ~x?Bs9h8zX9(XIb3J(_oj4L-}oZ~ylLtLfZ89B6kP(8myeobmyz&%4f)gIj{_SrDm&>|h1B?Fx|LhzbIy6vh?z|%
zkvZGevQ)Mwm7CC34C}wRTV5Z#*=>p*FbI+?HlBCu)x>5gO5dH%ZAUrz`0PCIC)0EO
z43uj0%)aJ9@v5lQbXeZ9stE*cE^2vB?;CgdI=0pj{F(E+iZPXu8W1%DD=f%dCvLKH
z*fqQBA9Y#
zpfy%Hp?3mB8HPr$t8A6J-fCm{ly#nD3^Byzxs(3|3PyXZu>D|%G_cYJ0cdr}H*AyS
znRsjhxUbXgisl2XQ+XWBF=%c;^w~XqeZ{i@zajub)r;~CEBQ*5>(-s=uHyU^WXr-f
zeum2u%D#$j=)$r_JN~?1Sko9C3x^^t8E~27o_{q?9W032o
zsphY3OVt$bk8h3Cf@5rXfTh-DK#3it<&QK~`DVVE<#S)ZrNMDf-V_i(RT4FK);o8;
zK@4!WKqyr04_B$<){PSQ=5}f;Dg)HR9F6l<6;a;1yY{v}kiWlQ84N-<6uZ4Q*qptM
z{kt5aXssRc78P-7_5xEIb?;o7*`B_Z3{5QjmJiMPl3Ra1QzJ7M@Vwfn7Va=?88mj0
zXaE7{#>Y8#C4=7aYWI5zE0z9tr%ewckI-N?>6s>tb3a;grX#RogdIL&Eh7Hz!N*-p
zQ=LuqWB-`b%Sc=&{XWKg&<{2`74f|DTLSzCW&tf`8LrB#UuR6FF`6i;6kS~E=YpI{
zOXf<{SPA%a#c)Jzqo9kA2v8b$m3}j#TU!EG0M@O$kExOxagg0CnQV;fnoo2=Vw_Yt
zyxX@{eJuB)_#~%^uMgftm(Ru@__L;zBK1rPyl`L`3n3szEFx}VcFL?=7$Ex%bz-uz
zfC@?v;;nov-b2(?cdFEnb3&~w_eEHoJ1U;(VAwv;!xgY$BdZ^FG3XvERiHODjLPcQ
zc3=w^4^JXn_yz4dAIi|Hj21KIEi}&?`r{=T68AP0B7?B539YkB@eOzKcHi@qzCS&!
zNuITtw!}HgU!pO}rfHl^Sc&jkgW$tUR1eX6nN)mjIYPuX?
zNrLZ}RI8$po_42`zxSJ{b9isoug4uF7m3kLh;pcprWMd+Z1Kl-`s_u}G`XR!%~~Lg
z!W@jJ@>s4?Bt!gr^*8s6MCitQj6TL+@pja%cKAFEv8Y&^)CK6%-d7z!=2`l;XO+h2
zJR+A>Q>QobO!v!3Tt)OC6}Dke2Y@2B2N!N)+<YGXDue&Zd#!esdN+b!=Qtn#!qZaVowE{b*!Djr&)LiWMhG~NsxO3?5h%aVvR4{ylqvS>@FV405_
za`Or~mvIesEigl_<1?XM_W%?U8V#@CpSwv!`u+C@EMz6@eo*TDd%!|cM9RU%MQ?g#
zg;jd~;(-a1lvzrU`EAfL-KC*RS2#hbfgznDGeDu^P1|EmEH_waB=;%QR6p*Uqo!ak
zUN4lq^$?oSoP>8i2-p>G;{OSgq#Lo7%#vPULdo5#%*@As4b88u6j&rCn9%R{#ghQp
zZY`ftQ9*k_lteoHT~f@)=!4xKj^*Ek*L7i;z16ygb^sUe#v^T<^+dvA?&IZNz^_p~
zs~llAG2n81Ydk)Gi%wKE+6&HGlV*+xHobp=KY_Ic@F--lx527wyjeFh)h9l@^A3}&
zDUgcrjn38)zt;D!D
z#)4%VgWuO3{=*3WR~yP7ki*YyT8)-xyLt3mJ?2aJ@omZw$HCG_E4`0O)ec2YvOe`A
znVX2$>Mo8$zr!ng(&q2OZL1`RtC@{;ZS^XKa#V&{g;iU*6i<~RPvXq+BbgJ_^>jQ3
z;YJ5+9$i_i*Q
z%P;HyW}~KmejG8Qo2mbx~X0;r=CsQfjPUp17j9GM99YKRDze+OFIeh9kkk)Lzz
zmd91RM=R|G5(KD|p`FZl8K&XCBc9XuJprb>wyD94ncr(2`zm@}_x3pC(FNwhjSWn2
z_{q3So<3!pH9ujA_PLKe_j`O%-~<|*Cnfx{1So{FPL=^+XT#;$=NJ{U+4|#VWa?nU
zfR1|N_VHAdp*pd^1mI`pj@2!B6cYIBT
zqlzI-^aOLNVNo4(@{tcuDV=kUZD;c2_OX}C{h4TeO}%RWAIpb89^F+#=;Bum9{b<^`Wtoi^Q{(g-4i`~|@V>;2(D
z16zZ!vlAB$7Pn4CE^fd_KLE88##K%v
z2U#a(c>X@7lSXJ+P!K^BSG)O_ff+Cpqi{M!NW+fRi`D^GL>%2vQ}Sfb(KQ&?IZ(9WPw
z2m#sy0#~hk5FFE&fK5u~lI{+pdZ6`lQ(0UQ>4c|7oMabd-L+W(ykYGz4m=%rSQZ~P
znk&Nuv^ddj0_?rw4~^LP7m7gNr(-tpGqu5wFW$+@$fydrB-T5n(U2bE+i2tH^kKh-0lEJ?DWk2v%X
znWlcCH8~&8q6kqlH@wQY&wUv4
z6lS_{?|^VeK$)x}RGXwXQ)}fNWKmlTwV{8u=_)vqQaNr$2A0nGTXMg;?k#l7;KWO|
zALZGcr{C!lQu?5(uBF}ve&;J1pBHROW%)4fkcQJ(P|Z#Gw
z!4cpe!gI3M8RG)Lfq;rBEz>of7|IT+lqT`CBpn(ixB66B-^vpfj@mpnGKQ
zw|v0tB>)(Yfi54a=rNTdQw#yBYWnO=8c=7xTxzK`A0O5ocjIW|n2$1MxI9Tne_>6c
z#@44^G^qTNcIDtD%qWYmel;y!+Ik8iY>(
zH??)1_pa12k_;?c{6T+ERov-25N0j_=1~5g#AQEamBI_o?FCMXN3(z0BK9fs9UAL#
ziN%_zn3T{i`;)I+!AF+y^IE7{O|ED24+@BkX%w`@pMp*242E+NJ+lppIbT+bi21#V
zPh_>62Z37($DNg0bI#okyVx2A5stf@V9kSr+55@T)BY_MH1~XYmPs!jp(TjQb+5Sh
zm*c1FGU8eHzA;}AKT>bKlv>fD+h2aa#Rn`q8l%c$>m7WPG<}$xop8Jm%8aD>VpMii
zVQAunF?VFtOo=A7f3Q1_DC(NmHWw@lh?@<}wk@c8e9d9ViWV?){gR(5FCTIFE#9N+mcq#aaq8Yp
zUBL8T3O@29g4^ymF_n*Oy^CMYvz0IhDnW5IEn7eLoh7858nz$5P#WBsYH
zE<4+)g*i$ecsXSpV%%^?TPDT3_HMJLoaEsW&umrEBX4Yv4OW1jJdQJ!5k@-dSg-SdRWj%52tM_`@9(7ft
zdC+4-7~w_WPeb6x0{-*60JC++6D=}S?@pa02+m~c60-I%z*KYq5Az`6_CfT}pS`hX
zgpHm9I2OHI*ONt5j-9JVY2u4g?L#>2ncp9H=^rkH`L(nG5V13?z+eCHwM9Hv=2;a0
z#!*bxGJk-Fq_(Opx3W&Ag{HFdLZa?Tm*x7MO@9rIp}Z;=@)3BR%$=g_GKZY(@o;9-
zKc=qdCHJ$PW;pW@O9fXZ&@`(|9|0GgUurq;IqP+HIVO$zCM~R)w^4SGIA~Im^!<>g
z#5HgQ;g6u6tH|g+bc-eK9N*o&1JHG@3HFDkA#9)&_MT27vM@H?^3lpk#JAN~)=kY$
z;@H%S8D*&HyrSN;X#mwlpdqKXZ_s$1HF(B2$}oD+gOCFL&8+MsL;OlS%$ye7n6>}_
zYZB1eI}HiZDSmCtPq+;FyG=L;epum$neEi^4o-ZucgqF639%pLCUxAurJz9m;q&K5
zm6f^giYl{d$+_+=(a5JhdDO#=zd|C9$?#SQe1)5`shN^ML6W`x{k8&rtIw^6*vQ8}
zB|aFC8DuBAn%+3*wWV}NZlShLlKM@HEYa4V$ZEgL_v5Oa38BDcPg|Z;IC6a^zfE-E
zL*^&yzqAXTp`=Ll&8IXqvHo+i8A6wS^eFtw
zjr&yUu#mdvyM%Uii{&UcfjeEp(bO!TZaqq7yTqp9jJlFCMmbD+|7M>t&zD4cUCUf|iX
zExY!QsW}JEcFIIQkqds6H2ZOK!Vy0&&TT=kCif_0P5-#3%GD@VSTK@-j=ZICV|c=b
zMu24mDLOix#(JrTqB}vZhtsIXSv~uGqcFc$T#Kxb3-O5_Z<#JRUV?|^lUPgoht>Ol
z*bCn5qz~VkFxaYxb&$O)Zahk!I}}@E0
z?@Iw+Dvb+2c;X&-v;(OZvS?|K%ANIgFkateTTDd-@@w5+}8Q3>s=6{?J#5~+wO@Ut{q9d!QIyMJziZ@t3tvT=B_#sw)Q#ehm4Q%oI
z@~=AUx0HEba2O=-^PyM1RK71&?|wYR@ZWYp!;3oKGHMS0p7iC_l#O6i?eeBGXMgak
zY1O(q>GWwG^0m`+MiTtfttl&16N>*3BI((()tJxLr1#pJXYJl0s{I_3hoR{$pxAkn9ltTH
z_2-H7YY*KIWMQHmN}74kKg>=a6%7m)y`IWi+PTJ}Aplu%dXR=z%PUYgi?Y`ycH7^{
zEJ}QJVgTrXWN)<<+6v}Pq7T34Voc1({}HZRW(4a@B~%gR0`rIw7LU&~$^
z&w8`n1QU*^f<`QeZpo8!ShV#2b#9*wd^m8A*mZuN=S&*8u0I-mSI#bFoB_;W8e|CDB*bB*ba
zCU@cRub~s-5jCG)pDSlr8|}$YJPE}nliD3Vkbta9gsXcq-}I2|wf0lD9KGK4
z3Q)RoO;b0WHv^~m<)uy^n~sM|V8UtAEbKk7k_!96FD8}`{X~R?+hIS&q>Xv*?e0n>
zHyoS<9|vPJ6>;Q?VZl$aqj0&`+j`y~NkJd$={i^HyG@TSt8}6N7f)Xu7v=MXi=v>?
z-5}D^-JoB_St
zIJIs|JaUFU&K2lI`P?*^nII!rjQCskVxMV>gmn<4!q{`L6;BK2E8g7Rn`OeE!^DRL
zDhDcv&3aqCC~u21#9u;plN`C1?9U@7%0E=UNVvEBYj7IHb!3J@d6y9CG9c+nt0!6S
zDzh!$7}?;>=w=BIJXCXgCaq#72xWAo)wSPP7?m$k4MqzF0lWe$o1L4{K
zWI45Zw=$fRa`lsxmd*7onW~8V@2{xej~|j3pmyG89Fc>zSS5tw^I8vzh095htFhl2
z<()M!23%%^a~jdtx*XvUP7OJ}cko|6KkBw_$-Pi#*OJ*XuaXUfz8>xVgjmcfpQb*9
znXs*8H2KQBe_(+Yy~ilqR5n_!cyYaOyh_1=76&jCs3{5!HP3mUO*KfE4}X;
zYDK4HNbC>no47rmI&{u8Z^#Hl;z>pO-WA=LjVbnr@?{oN?6VOSI-RFxXQf?FM$l+;
zuHJw{Bc65n(@R2zHzi~aMMd0u!ccm-8DsL@g#L@hC4N14{q8N*086U|n;(i*JT6hm
zO$~jq|0S%{nh~tzm^>00x%fESjdn;8<4<}s4T6-uZyobvj4#;1$msZ_Ju~WioWK}MW
zR(-t)9mydSQY361Wbexy-j3R+d7}BX#(_{WXh>{)S910Gt4}#-lFf``5gl@cf
zM3KZdu+Jl@eZ=m2s1@M|J4g;=8yN3;H!M#gQqnb08&)U;IL*(H-*L`k(D=L_b#OV2
z6_uVxMpDW@Tu5ys%6s%)b-;H9>^M0b`ro+qDZ~W?vO1PIqHp$gt9o#=0MEdjGW#An
zv5$T~Q5BEo6;O2T7VQ@Aq?
zA6{yOQSLEOs)=w|-sdsuvi*=*_0=a;p<#2BVvVE&_T$TUYTp3N7K{8Eiu>@Z>Up1k
zTJc?G0hl?qKcRm$8Xc=53WZzZJ0g2VFyb->MM4ibn~oV<*csh@2G&DmP=E=dLzG2$
zN$EZbJgwAWZwjX+D|i-2T0)&C!LhFz@}-SM+o0q}o>{a$MJ%eQ<)f>Xc>TEOYqXS~CKFddTgQm2+?30s%x&f-_aU#qmxXDT
zOCASoTTfN+zps`p22|vVSl;v3wx*tjM#)hJcx}g&bQ_kml+~SlT?BjNwr9GR7SZ1&TFWqwM7x)8KX$cyi&igYrA1wAe
z916bJ9TkaCeqsOhWA%&YVH5?sXPFoE=us7=_}eK2jWxD#Y2|eaA+o`QT1L`7rX`j`
z<$>2-FqzCkG&N?iEFka4zlyx%GG4Gv#b3KFC8^Kd36HbZyxZ5>DeiL(w<5Cmw;keL
zMP#ve*KHPB6V5QjQ8rA{H@&yC{!XIx#S5$`8#b(8gz|sX{jgseSsJCr%>~5?
za-T^_fUGRCA`FdTcwKRJzH4E9C#Cc-fX*TUy}bnDPik;L-4
z)@?Kq$(gu|PchnFchC!zMP>9<><*UvA*~_6`bGNP#6HJ;@e{g@5DkueN}rNhyKBzX
z=eR5a`9%}d3`iM;8e;aDN&pIyZ<&$BQdomMZ`P&OfY=NBUmqRy$~r5HiWtsW{}j9p
z>lV}3Cr1#;#K~(Ib7cbilB;#rXvIEloo&}g!Nx6z7T@*eIpR*zS2Vv4)sVTc
z4_zVy$aO0VCvT_r;&*5n$#6sheg51^yn-SMNL_maPqwyjLM%r;vrfnrhB!>5xmqre
z_`6s%vsmdEA9YufA8=DxTVq$+`}Ckw
zPF78csy9nri%PX*_%#Hh?(o5z;-N$0R{V~NQzu;txPgXuftMn0l6j^ZRmRKnQ8c|{
z{&{B~iH%}M+T{m;l~Eos%5E{-6g#lEdTjrH}T>B
ze6q6ktQ8Mwxidz!LLon$@9pWk34
znD=n|M2>HylwIjr#3XCOXLy7DeCkcaGD8w6I`%)qM!W$-a{(%9ZEDf
z&7{|9$Fz!Y-zB$g#~U~Mx(st>`4rgf-oW39sS&$|Mzxyxrr%JQryHorKU#^m6j
zZsI_f$OT{7Lf}NV7v1F0Bf0@|!ZV{=K;qBQ!m+C;k+^25{OhQU5m^y=_!Yyj!Xj+c?wxrH{ILR9RdGjB3
zzTKs^GGcLR^KZL5goop8KXUYj(;%e-h4-^lq2v(-h)rGAo;&3b$cW<2Gx}e;Mvfm0
zW!iq2`Q+jxrgU}Yils5(#z&fGDi;@-IIko-8b=~x7a+%9aXlP4#*%@<*V{~fAQ}ze
zZuK4D2juJdZry~Byu}M}Sc>Fw^CDd?NZ;IU7NutR<_uvAt+NDLG1+AQ0tL2Z+xH+a
zMF8kTLe7tJeB6eFf$$x*C=VsaOdLUh6P=!lYfFjG93D@28(JjzziL7kIQ$vArqOXBdkdEGTea&nj1pWQdQ0$lk)3LJiv6`bbx;wE3X
zObqSrrjew36Uu_&J=8$C{Zccq+w+?bBfk#-xTV6CMvp=kc1O+sYjx~$~0BAgz}O$
zn%Eb4F43!-#OfB#sw=TSI3W&8ic2ESCW`snlM=<1G_kvc4MNk~A8XgA6g9Xk*CZJL
z;`ynJ{SN%DC4KYTG3J>_4WK|B~12#$Y*|Fz6-?00<7w8<`
zTLE?=`q5*5aU^r-x~fiP90j3q3wwFnLPddtlx&(%l`1QqBId+nBIIL>?8X~kVO?qkUi6K75(fFV3%5U}4o@9p6o
zv$0&hBbTGTLSF`9zmL^CZn+2-0`K8`GMrFn>HX*%^Sa?UbkDX^M1kswVmqL?U1hj^
zLD(K-$SG5q6|E(uIqJIWYNz{+-Pm#i9-RJppqq#$})G^W4SJA=52kotvT62f#
z_VA+vLHq(?l)ozukj17qho_O@6^CANW=W2rR3!8Jzb8tDUBhwwHru5@9Iv&n9Ek(W
zuke54ghtYQD%K>wV>p#e?HCW(UvHyXfdBR&^RX4YI$9oWg%_J(Y&WP5H?r4G#c
zKRCQ^58(5|V}jyXWKkIlLL((VU6=0$2LIV@uYnC0`rT}oKxUm;gtyYXXE}7_3h)Dih``akBnj`JtUPV{n7||&i<(puoq2bQ?d=Qy;edfZ%
zc@10agJ
z>710W2t?jSIemFo#rG05Mee8B>m31F7w&|;$->no!MeR)(JQ{P0so|PNSHx*RiRP-
zXN8}=%&W88U-02*t)%Cr;d1Mb&cG;ybVl_+`CsVw*3+LCn_l_1Js%FZtxkukU+^&s
zzKzBVJQfZ2>diSqE~0l-Xbl3fl9O3p$vV&Xd)yW%LhT|2b{``h2>M5xKgNAPknhr9
zLgw+sfBuel{spQ)tlcQ)2VAhbz-G!p5?+it<^zG4;a{~kf&TBN*=rAawOd|sJMNGc
z7CwVU(W!|b4O;cCnEwG!As%FY9pm=H_be&1SmmZ?Q}^H7!Gz?0twmZdwk71$c}HMh
z;T(wieYmA}jKzaUBLb#~P=NRb?j*X|sAVuP2OW&--|YOdr~9`HpbQ#CcjNDaCS9w+
z*U7IaB`jhP{&C16kU3S-_}XGwulUL&kiytU_N$L2TEsLE(&Fy1gtn
zp|Y^)BpJ2_+b}*8g)z#7_DVSA5*^RTpJ1fRaDgnuo5owS^0JshY$_DqzV=t6JYvKivGx2!gDq;xhSg98rz5$Z9H9
zr=Kso(hfw)mKDNlhc==*B=+6vFlz`LXUoj6()Qts@LnIfJ*E!9)6k(*{wX0fAI60H
zeS7b-S4akX&&=Mgu2I%+dq>%gt|VDcc@;B!f_Vt!d!rxk@RL3q)K}CbfK!FZKq@mo
z@E}%2>Y|8^{-fujoJq^j+uWC!P|+?>gRuT7=P?9ZU)4Ih}xK!l)q!--A+3bON}
z=5&RvflSAmsBcHGDGU#Q5h(}U+-EHyDCns;8PL>sCzcmtl-k~eVQ#JHW6_jiLhg7a>a){*<`S#e;V#L}#&pTrr*APDTK$sybqHN;bpE40qV
z=SYsILpl$UY&ngGm&s$FVT%Rhgt#0CX|upI#(2Q?h--#B$jWV}>mGP3;8
z={HKf(Wj+-2DJ#`zZ}e4zdSi*M0V^k`|onfX1Z<9}lQ98#kW6$Lh9S
zK-}00^DK1ai_m-!piQ1GI>_Z{X1MScp)B={cL`>BvrNkrox8KPkXqDX!s9f
zEbmxNeN_@VC--soLARian7suf!z*S2IK~n?K|wI}smC)y?9<^p^ixEWti1H}xD7YaN>@>R2;9^l`f`x=iJwP)G(CSU1V5Khs
z=1(pL<~PLJBS2>AodC=Le+Z=oYp3uwI<^6abH?~LJcxPbk_#uhz|f6jRIDfh+=%m3
zq4^C8R`-}X&XK(LkJq<|-$na}HikztA*nRVa0J(0y-=SS{>4yEHpjc{4du`cl^8(M
z)VtD`ZZF`vq}u+uHK+D@t={spMT+ivs((?6Llg1FrZ5x_YY
z^%Rr=e*+`?G{w{A=qelq@;zw>Yjc_ehG162r2@l>ho<_8v4ldgWfHvFW0r!as^)cr
zv;a-AZ>E%7PP1=TZLDF>io$dO(OEg6vu7D|RSoxEJK)_s@fL158a<6n4l`j4o*iS)
z^Qh=P|Kfl`Ho7p}j3pMV>i0MxqinjSZf``y{4X`4U?2%AS&mW4uK;WF!5p?$nzPL%
zuP?=m`t6>Ml+%IQ<0;~}sOhd0XGf^LRupBtojG0#4Xfq7Bv~Lh`^KehT~Ey)p#LHt
zpAW{5ilp?B*CiNT(`OYvi%d<&cfth>KujL{>!16cuGoo0m}0?8)PRGD3EmMn)fs{yThGGThFt@wgcN&V4vzs${9QLBOuOQ1RbZ-V&T6Yu{uQs~W@
z+BTSv#uNXARSj;PElb}GoVcWg5#D_sIP!!uKo9(VSd+bZ8iG%6MB)vdO*Ig42{-K3
zz%o8ERWe3FiwTqPftu8+xl9m$gf%$h>`vZ~sN@(8pb0vVjhXka*mlfhcwY8Fl8Ifi
z0}!>Mx;)ty9TL#ZKJC?h5e`xVpZky#U2<6vfS8oxVhUazQ;R2@*OBW>^I74ZZP$$R
z>tcIg6!y-l0Ijson4?rj_qK!?&{m%w=M`8UPnz*-p(Rf(${3_sYE1N^pjf+{IbW@p
z?BE*giBZS~{h=M1o5}y&JVkt{X(f*cU)eJO>YVhhT&-8|dG8jl%9{?|?~Zq4PHCCV
zan26gL7E?V_mIFxem2C_fAi|aR`bzOT9Xm@%I6E|*8zlH!)`!DYVYBT(c%r@S?rfUzzH~*0RCLEbM@xQD*5p3KAVEguq9&n#8;2~4BDYt`E>>t&Q}<^{T8{ZG3$j6*FWDZis$q^pOTG_huegk
zUhGx|lwgjy35}~GW`|Z}{UJYQsv%(jLT*&}l}PZ>Ma~ZK)nb20{o4>+w8-hFy;Cj>
z?#FdIv?#4ARi{ezPapnj0SuIDh83RCL*8ptv>1&25^GQNN!*Ob_pKnZM;a`ADW5!Q
zQcsR6zJKtcwO0d;@)i(EhL;}9L5~UY^jh3XOM6v3tb|S{xvS6s=BNPOEY7_M{#pY@2|Y`
zY>gG+=eeC)1^#=LggeZxkIiv1py&{xR#=L94Jzzh}Laq+z)wzfK%?EdZaP@DJ}-p6p6M
zKZRH1qR*FM{5~=mFYT3+7!J6L=-^$04YBq&M)tK}%wI_+k+`gpu!l{d*hp6W88WM$
zu=%-j2(A3+K$D^wYyASa!Z3Lq}Y@1xrn^BH*UFJmM$ai97R{SiH2dUK0MKl*yB
zCw-=l<1*Qr`J}1h
zNCza>K5~WOTz9)*ld`d!h;knk7@i(i*m`6FYu}1h1&9eG$&Q&y3TULU`Cv)NR{W^Y
zwGzl;^h9FqWZ8}8g5)xQw6B&=&cW_{);>{*F&{~jv|s0P1!3*vb>{)#a%6x9l}vHw
zm*(gB`zO(`uL}+Y0Qi%026ar!b>u8#5enfQ&$w0endnj34xT4zV~l-;5ANj8xQBy1
z37aT8ojey!JiFft{SWCj57{*>nrRsE$dtvzx6e;A>^J3%gaa2eP)L=5dk#G9%qcv;@R%XCc;7F!
znA^IN?n=YFy{NDaZqSXYM7?(Zbhj#q8zjypeV?X&UmkmP|B6z{0Dzit4(Pn>JV501
zK5%C>A4^tAnnwAmt#P|Uaf!2joa!B+ay%Ay+}?cNCT^(-eTgn7i~?OyH;@kfZELVl
z$_@w>E?p>F3O8%SRLJmTQEj3WA`=O3#v91;#Kj{OwDu*oD%6~rnb~ub(ct~GQ<@T;
z4^#)H{iL+Cw8Wq-W3pJY%D5k2TU*<%L02J(%@5p;&u%i1WYc@{mn!PF-KrRZO~WSs
z)?g|@ot}dOC-0)8>KI?3j0A5Ahyrau5(+@t)r@mJZ~-SzRyKlxUBp)Ea~uX9QoR;2
z?bwkOYBi$iMk2Wncee0YJ;xUdwh9rDH)~m`oj5%EXC{1XiQD33z$!uGo^uIH
zjivTkIdLn!gz10~u4g1d8m7$(lllj+SAU7E(d@%ZBp-PbM0$WEy#)t1Fn;R0v7KH?
z`NwBYai8q?hE{jshy{;pDTTh1j
z;%HP$jbTk^XGt3v?FhNC$o)g>9+IY8TtQan3TaW~1sd;|(%UX6Lgy!LNn6yT@gxA$
zB^bWxA6*yPB95~C^W5BPm%xk8g7ptC?CBW8MM<%g5Kh@&*Kir{=Wt5SF^l5VlJqE3
zV|ra7>Z5hbhBI9qL7Rpk0Ur{~b8ISlbHfNljsmlLWm
z=<>r>UZVcm?RKVV$G7K%s7M+mpE^WAlK~cJpcrNA?V#=1UU4~x-nC<)(aY9
zVq)w_98@H?!1C&9J(1gAr`-mG1)20O_i^j-}Z2HFrF@4jPFy_w_n~y?hBe65VtL7=DEC;C@7qa
zSMli9ZnqAM9kUQ@-`U{2rNXwM012$XfBiQ)-MTi+N$uQj>I-UYk#u*1TbEDHlg$)`
zICtf5A@msI&eCw!L
z=UAnYk&#s8<+=?qpj$$t{6nI?JA>tPSws_T?Qb+y1L!IcES1{~UX5_5Z16hK(`39!
zQo_iUkK+cd=bxeN_2n4so9E^5L|TP2RL%z1+BIxioi(QKD7puPan7jz;cnqvy)4om
zZ$5e@-;2nJJt224A6DT4jGACFzSGdf4ZV9}$1)%Yk6pNAV)fI}zSbshwSfL#|%p}uW5r4sq-yi+J!o>8mwY61Vr*1xCd{-gK
zv2iQKl8q1*cAoig5Tk&dQ@{k}lqXjxEFUVof2Vp-+4{=PXP3WTP5uDA_c#4pjQGs&
z{6mm0r+11bzU)<3UftTU@Z+wZ=1jAvwEO;*?wOct8?k+-=v;uo*)dw0jF
zRf5dX=4MoMyD{RESGSj!XQH;IM;Mj~fr3VEek-P6uiagv7(;f6%)O=l!
z;C*^>P&I5qBSMJ)vQH4Ja^*!#wrT6UpGMMB_sG>Vok6N4#%V?oqE*|j_Yq1gA)NDc
zNvl-KPwqG9fA0X21(&(yn#UE2t#6hvD=HQo8w(lVr;j#tx2|i=ytPou(JX@Vkm`WD
zZ1N(pU#{LzpU)-qM7moECPpizQ*v)~SKJF&?x1JIY!w~6awbG|C3)IfruaKA=Je=qZPE5pu~
zu8y%bbiaLSr0=x51E{Pza(c~@??q+jlNTm$5`+>`f`7r_4>uhZ+8TF%J}<{P)G2y?b2-v6gXZPH!%G_LS~+WFFR$_?_1C}nFw7iiWembx
zqZ8wC+k;5mqB9AL<}eDXMM@9oOv4CVa}uyDxzbUQ=A5QOq$YzYf%Av7qN1Xu(nA9#
zj~*EZG=(8l7QR%gi%~yrg|dXvhG;mi-%X!*=l#e+!3@l3Mw(;eYs
z@047>@SXvFNlG>|;?~t|Y=)hv97`b3GhD8H(VI}G(j}rj)W&SXF82uKSv;R{r@bXA
zSfk(}d-&}j&>JiTnEsyDL$86$d581XwHJvRt7KkSt1)kZ^b169fF=Dre@U4v#PT|T
z?{cP&RqEw)vz8MbiNlJTIiMl@Z~+%De6LI);S%~0?ItKQ%4Y{P$8D27`Zb7AX6l;#
zi;NA18`0evJWiDss%+`l9NiC`eHa77$h&Kyxkpi}ws{wU$75ed$(|u8Mb6rsaH-Uv
zV1WSD#RJv9Af$5pxLx>K=^Nhq=UNhBMcn3Vop0j#qwJ@ub_@UVfEFQ%VD$2m5=$%?%qr9b3X?dmmq9^s^W8UpAvwE(&Up^^(FH8^Zv
z@x9iYZg_x0wW>_ew$mKYAAwY7tyFGwWo2dfT_&d~y3hT-fmXE{7VmwHO0xQ3T`+$kB|4VDKCt^I+MDyT-8llh8Wrqw)=GX5*FC
zR6_2%R|@-2U_em+cDxG}v2YtHQ$1?C=a?LJ}rIta0b^E`MzG~d|c
zdtBvf$x=ErTI3uym#+~mJ2^uNJ#ky32|nA*NS%_jb*@AcONpfoS$T-|+|{wJQwYR9
za?w?2;vQ5$e*prQD<{{2I6%=2CN4_W7w+dycEE9Vl05N%fU*5@bUe#Nl)oHlj=}BT
zG(f)i1S46As~nYPqj%vq+Wb+}nD+rIk^i(}U%w01TM9|TlVpkXJo@((33tq&u1ns9
z1i1@Iah1mfGs43+3kM~uvqZ~`mDfH!yz=`6LKD`>pCX-v_8C
zY;ha=LbF@Q=a=x3Qk>Us{@J>d768Ag1QzwN7nGT$<$5dhX#ez=L1WqZ{4zYjxIcj%
zbeTD7J|7~#b`$dNXlJfl=mZUChH;dI?7tMPW<1{eE@y5Sw&2OtlXttKY=1huH(5!iH>8I++
zG9ibbB{PcaiNDY9EN`L?t7(~!xY{N@D1gzYPNAiEOCq_he*N(ZcKFrBAb30t`{n25
z3PNaPw-?zz2F5-5{L}I4?sW4>**wUPAOq?$@iq%`A{376@FRXYbB_g*}HyfcR8tvc(US;!SUtqkEGh~
zv7%uFtR{OCMX(iQ(Z92tWuP|~ix2!fQ>)_hbLjQ)u-U(@pR#>zj=bD`={K%9qx2ny
z!^fY}rsKth7gV^Cv-8WizX9I?
zVt@1AyPGU5&pEB`e#R9xjiY)R(6N4q|x9_b-4>60#r;cS8x3Qzh7{kx8@^_43IAeG2vtM7egbT#AS{x
zdfTV`H3i0R1vZkJn%ZxpE+o*UE#>?);BRgEsz#aM2@*!UUi%9NtJ6z=EY@Z7Pd%aU
z+~p@SW#IGN32#*o^rjYh=pwczo-bqQsDF@t#kWK`m62vD6upU(Cutp
zm_GMbQwuMnf1K1F-(^bU{>_|t2*ZvPC-9g9PCAu5kIS1Ywn;_lU-_&fl$}3(>kocO
zuwFBbIn*2Sw_k+`kgSdW<~UAHNz0aF3nL#F?j;Vb9q6}rEqAtUr?7m}!+SFt<^5+|
zS#*&R@+#VTUaVAC<(#AH;GVx%|9wb@k|o#Q(09VeuGhwGEQ+iRJwy*fMmj;m&6f18
z;Zm<+N|NmJ^Y$&Q8fT+N2}LGla0yd;)?Lk2ak;{TbM?3!On?XyXd3Fie6<-FRbGdD
z&EFnXmkd0j;9|DM(%I3vA=l*C+AN;rwy*)(@vX(@+QHxP=MBx#X+{hk
zWyJiLSCu0!z6JAjBU92*E_rKe3aDJ&Z3Hu-E5n7X9$cY}*s^o9$MtU(lFJI!iC-B`
zI1R|*$4)m!cB}(cmaGSXe;vQa`r}wTSNb*xi?iGtHOIHqe(c`sue2`A%D%DeT=2
z?BBx1A5meIUudT{oYG}gt$wqQYIi2;<~EcXu~Xdc-_dve8L(KBkdqu44v6I8+2|HI
z!yj($(T>CIjci=UcJ8^-4nK4P^4mOqscq9wWai4nUX3M_#V3(rZEGv1K&q-R2(A3j
z0OW$b@<9wLa
z#~2TlRQO+W)U}Bm1ee5tmGfJw^#n={ym%0H=eG5A)a@t!)cVDzk!_LJZkW%oS0FC0
zzr&xA8Lto}3n%S2{(bW0R#MmF#Hsd~P9u@AO|_K2>jj%qw@mY7d25>`jsf5LLEL@e
z&O!sDlVVyPe6EajN5HKZ{=WafwqRkpaNpC#Wt-5}V0p!Ov`H3T^V>_i}wZ|m`p6wee}BOGk~ePRt4WR%|Q
zzjzhxHyionG4X-vV|3J2u6IP(IVp?Hc1rl69z3)~YmSK*7wH#7EdPA?W8W?N!Fa#{
zRjv}#Rnt_v|HeumHd!8Ntd6#zCq$J?=;0qUB)D`>t$ha@cj8{CwA}{uRl$sRi!qt%
zTr6FkcFq&{Y^(5=6QJ8GY`s{GOQNi_2hEfP!5M4bTZ{!(JG`{!5hi~eFs!sS2#1W5
zXpub{tCHr)VTdAkljJzP_qGTs9A|$^&X)1h9bf*|p15eYXcU7HMYruz*jNOK-s2J9
z4sd&>5FFc~c)LDk167}P)jyb-+~giy`@?B3;z!9Dypfm-(n%z>s`a;I8K?wo{Tf8$
z!_@LGqvD6xlCKUI7BATS#@;sLY~z#=hMCxdY7-zu40E{m0R>6*ETT?l+rK$Wjn$I%
z4qnydwJ6)VmTcm%IH2}m7nDWj>+w9!9H)e&V_?MIV7Go{}S#)&b`oo$K~LN
z#^a80x6b~ihNCj-73{QpXRABt6+J|G7DWR2vD|OVTfQ0^q>V1syzsG&jV=l{Ti5!1
z&o&oOc@T10)i>|YG=!z$Dcc`uLmsQBvQw==Mmo}GM@vE%kk)KlL4dSwjwp4PjEYPI
z6#+Lj1|uTtNJ6H%c%0(n6P20YB%?kTEq=4zczz=_M61hztA+=WX9g6#y_Gv64e=XY
z?LgB`Pf!bkp5CwX`@lec>F&YsgzM@8g76x!(!&9aFVw@|a|#NS6I_*cHXPBQitws<
zP-cW^ViO9*7gjyv-ssh>BiinnW~W$4nq
zGUmQCn9k`JDTt+mZj=A0l+dXZ^w0q7{WUZrY)zn`BA=Gwi%U}XXG+%cs-*Ja?XK

diff --git a/dev/articles/a2_tidymodels_additions.html b/dev/articles/a2_tidymodels_additions.html
index ac41f568..2e4f9c55 100644
--- a/dev/articles/a2_tidymodels_additions.html
+++ b/dev/articles/a2_tidymodels_additions.html
@@ -135,16 +135,16 @@ 
Exploring models with DALEXexplainer_lacerta_ens <- explain_tidysdm(lacerta_ensemble)
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  data.frame  (  default  )
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  predict_function 
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidysdm , ver. 0.9.6.9004 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.01490969 , mean =  0.2861937 , max =  0.7169324  
+#>   -> predicted values  :  numerical, min =  0.02638562 , mean =  0.2951438 , max =  0.7778588  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.6465921 , mean =  -0.03619367 , max =  0.7891973  
+#>   -> residuals         :  numerical, min =  -0.6797394 , mean =  -0.04514377 , max =  0.7720678  
 #>   A new explainer has been created!

 
Now that we have our explainer, we can explore variable importance
 for the ensemble:

@@ -177,55 +177,55 @@ 
Exploring models with DALEXexplainer_list <- explain_tidysdm(tidysdm::lacerta_ensemble, by_workflow = TRUE)
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  default_glm 
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  yhat.workflow  will be used (  default  )
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.2280177 , mean =  0.75 , max =  0.9854359  
+#>   -> predicted values  :  numerical, min =  0.2554356 , mean =  0.75 , max =  0.9838188  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.9096205 , mean =  5.395921e-12 , max =  0.7719823  
+#>   -> residuals         :  numerical, min =  -0.9314151 , mean =  9.574021e-12 , max =  0.7445644  
 #>   A new explainer has been created!  
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  default_rf 
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  yhat.workflow  will be used (  default  )
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.1315421 , mean =  0.7480648 , max =  1  
+#>   -> predicted values  :  numerical, min =  0.06715952 , mean =  0.7496213 , max =  1  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.6878921 , mean =  0.001935171 , max =  0.5870619  
+#>   -> residuals         :  numerical, min =  -0.6303111 , mean =  0.0003787291 , max =  0.5929444  
 #>   A new explainer has been created!  
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  default_gbm 
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  yhat.workflow  will be used (  default  )
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.3390188 , mean =  0.7314788 , max =  0.9632964  
+#>   -> predicted values  :  numerical, min =  0.2205058 , mean =  0.7324831 , max =  0.9634812  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.9268645 , mean =  0.01852121 , max =  0.6280424  
+#>   -> residuals         :  numerical, min =  -0.8709313 , mean =  0.01751694 , max =  0.6855955  
 #>   A new explainer has been created!  
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  default_maxent 
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  yhat.workflow  will be used (  default  )
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.1095764 , mean =  0.6256817 , max =  0.9960248  
+#>   -> predicted values  :  numerical, min =  0.03884931 , mean =  0.5873206 , max =  0.9584494  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.8207859 , mean =  0.1243183 , max =  0.8904236  
+#>   -> residuals         :  numerical, min =  -0.8338183 , mean =  0.1626794 , max =  0.9611507  
 #>   A new explainer has been created!

 
The resulting list can be then used to build lists of explanations,
 which can then be plotted.

@@ -395,12 +395,12 @@ 
Different recipes for certain mode
   )
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 1 of 3 resampling: uncor_glm
-#> ✔ 1 of 3 resampling: uncor_glm (319ms)
+#> ✔ 1 of 3 resampling: uncor_glm (352ms)
 #> i 2 of 3 tuning:     all_rf
 #> ! No improvement for 10 iterations; returning current results.
-#> ✔ 2 of 3 tuning:     all_rf (16.9s)
+#> ✔ 2 of 3 tuning:     all_rf (17.6s)
 #> i 3 of 3 tuning:     all_svm
-#> ✔ 3 of 3 tuning:     all_svm (19.8s)

+#> ✔ 3 of 3 tuning:     all_svm (20.5s)

 
We can have a look at the performance of our models with:

 
 autoplot(lacerta_models)

@@ -589,10 +589,10 @@ 
Using multi-level factors as pr
   )
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 1 of 2 resampling: default_glm
-#> ✔ 1 of 2 resampling: default_glm (191ms)
+#> ✔ 1 of 2 resampling: default_glm (223ms)
 #> i 2 of 2 tuning:     default_rf
 #> i Creating pre-processing data to finalize unknown parameter: mtry
-#> ✔ 2 of 2 tuning:     default_rf (994ms)
+#> ✔ 2 of 2 tuning:     default_rf (1s)
 # fit the ensemble
 lacerta_ensemble <- simple_ensemble() %>%
   add_member(lacerta_models, metric = "boyce_cont")

diff --git a/dev/articles/a2_tidymodels_additions_files/figure-html/pdp-1.png b/dev/articles/a2_tidymodels_additions_files/figure-html/pdp-1.png
index b41cc40c7870a241f94008f248cf321b2089d40a..4c7e9f68e99ff957a37ed5c1d7b7581a33c30ade 100644
GIT binary patch
literal 50109
zcmd?Rg;Q1S9|w3YAxIigT>
zKVWBPXZFnKbv(~~;@k0gZm5!iG$tA;8UO&8Z{JA10{|o_03ZUWkHG)YZ6n73KOPy$
zN=t&D;BzI>z#PZr(zX4329*utxXMO3@TU9Jc&
znvLklXvizC@N}^Bsd360v|JHr#Hnd&O|3RO9=@8$M$kuE>#?n0+<6~|esCU2HH#S9
zboAaJhlc!r{OKX;cLgM8)a=~nzuyGap81xS?|LTCLTFy0E-s3!M
z-pbL?($cmk?Ey>zly0l9fsC4{Q#|oSphQFJi&;2=)k09I%R#PCEBQL9caDTXZLfcI
zujzLYOkldW-3wTJbVy1~kvBg3yRx(v9Y(k9fZyGKvMIhRkBHv3jZZOl71_dWr@HxVKP4?AGD3kb%B_)a`oWsTcc%dk6P
z_Ys`?lhbDi3q*U!PC|~6TJK%KxSd|LwMOGdFW;F~zjLVl2!4?u{!bewZkkxpWu*lA
zf$g5}9$n_*fRVYRq-3nwG$eLa)mh!kY~lQm7wnhLPO|fI`|}!d4dA#O_|e&k8F-Yy
zGhb|Gcgj8!zvXV>{dp=K>i1+gRUkM^F^{z3gU%xkL?sl%SCT(S&D#C6q-KiHXN3}K
zKX6&oW~WvIJE<+3t%62VbbER=bsyNN;U}@$1qK`xI&oLaKW3-!eWPl}0_xJVuG@>C
zNcxZL<@f_3C(pzc*KXO*;-`B1M>5ZpCNJv|XuAyn(Sz^nF-#>#26K!NRCO+V>(^NK{
zTSO#%5U1!hUn~}r7Q#g3?94`GzEh&N7od#Lk+*5KK66~vv-%y61XtPC{)}$h=Uvyb
zt|gpeydWDStKBAAfaSP?w1CgX`A@43>{=PT5D`VxfJQpkrqnPb*(Z3oxT){(8!T9^
zzZ0N=;<7Hbh~WAr>IHO>w?6lfUPe!Ok_)fhBij)RDgV_ovJM)Ukd(`}ADRcBR@SSy6D=n~S3O$GQ#$g1Fk-Rr0}hBI-kN<;RAWn}rKX&aX}xka_tjBF-`A
z%1;@b=4|tJtem->?g9r%_h5rbP6ufw=LFtw)rOJR$bnn{0jHUR#jmEzv#P}Dhrv|#
ztekwws)}tjGblA-!55J*;>e~WDIhXsBAJFt$xy>db0rlIe7
zzMM^>rtr%$rEYfM!>m9V+P&^3Rl)ZghL)n7E2hE2HnK&+Zh0HM8aMY3Wl3l}hp5y9
zmB(6;e6Q6q)<)s|o-cst=VjE|KdgS3^dToz=R>o-*%y;!loz|LA*vT%J}y&TLa(20
zGt!o2Q9UVQZP9blVC>^!F}6^2h`3+`3{dS@N9Om7?;00w2~3NNB)_NuqNa3LPRMtN
z33G*0^)|MiDv!yp>7jUd>qH%CxoLrX5gWaFdBa;j8!i+`H`z7W+jHs2SE9r-VPO$^
zgI?BMFPPlZk|QBZR5V*6{>&m%E}*y;u-WXY`U_S2wM=PvsdJldfIN7cfd_~aB-FS~
z+`ENE+BCJkW{sIz(iAfYI>_KFZ!jEVyw50H35ptcRDoSI2<{xaM=^WFf$xgWl^;ih
zbPnO`=}maS?^>4$dSVxW+Tqxv$vjYT%$?oQiKUX1n6L|09y&h29swaM+4l%j3X1(j
zD$z^>1o!!m!Usq$enBm4zg(<)6Pq#Fm6$H+IXo10?Hq=`iE(GX!kAQy7|W2deXQhj
zl-h(QJ){Bp228gwQZmB_lp}#VuaikqIu`!w7%Y
z+x>WB5o~gwIwWel9xHCwk-{s;0W8ZZm>oULdiewt$s{WTS=e^=rHKLdUrz2;V4$I>
z-=%yoywV8%Jh}_o2n~7<1zyvf|EMBr@Ca^osyokbma1m15P@KcHHf0cxZjtNeLAs}
zAU|xLubWP6Lt^O3c?V9bjq;!xD@RX5oKbPRQwwYitpch=LvE=gN`?z9C{)&19Xxzq
z1kGt|s*Vf3R^vpd7NPx&9yGe0H16y^=3khe8ULN2T@ooc+F(Z&=3G}k0{R1DUpjkw
zd<_Er=!atSMw4n^$2U>$DV>|9Zv4MVCtB-vtME2G{(2y_yZdqZH9?w-YRBSZeSfnegM(O1vRNhekK&h6%m>)32K4DZ!4CHl(Rt@L60drBS<8my2&raC67y`9r
zY!<>VBMZ}ZE&iFE;%CjRq~8ka?4v`{3yPLd4sCZ=r6?Fqrbf+k@2)>{SUu0+T>qXN
ziTY+)4KT%RT7sBVz9*oh@NL89ufh15LCf#Rh+pD6(U5jtb0=%_#<6pSM_KG!s8#hlA9T&l#1tTv
zd{MoRZ_ejM@k$=2RU=x_#p_*9O5|gygZN~hqhrD;l^2
z@P~gv{l#p;s1ERVE;zSBd_3)gY19@eUf9re6D136?`37%n}W0qU|5TJkRutk2?OoG
z>tH%47OvS(O&=CoAwQtKI-N9qXin>fvxADx^(iTV&Ba6+bh+-22wKZ|Y#}C|H0}z7
z`75$(TPkAv+T(-QK3S?!)qWj6jqcWPJeWOIRu``~K=t5P^&_gZx?zk#BVxGrhX6JU
zF8Tyo^E5(!n`CFe>)wohYn`w6Ff;54*vqLjDjrmf;DZ9&ZYC#$;
z>+435k@x1m`{)L%`Nm!t5?kCg4^Hq(fzd%|CE_Lym!E5AWss?esPzS}o!bKIGamZ>
zKfnFL<~h<0Q}H-$bhE`sw?3Pe$-KQ=i{Ffk!e=;oQe;q$sD!gf*s-3%r!lAfsG-HF
z-%mOrmydxUce#$tN4EA$thLV+L6d5b`Y@t>^~qf}`bzHbhQQ-folxH#EXo={Ii@>o
zrRq~J!Bu~S$kg=JXJ5kse*<7z>|Nu>6;NiLmmXlV!fpz+*_n&s`nPrcSx?}b63^4l4O15
zS^JLy)C;IX7SH;)$PM0n5cng>YhCJv-M)BOtNq4vMY=7qSOs^`JvQvRpE=+no6kXa
z_Y(`Pa!hgS!lc$s+gtn`oKSLQWqo*@yD*P6*xYHWjdz^#-gK%QUb5{fxpZ
zxRPZbO6^|jHdkliVi<&lIDB7N9~Kgf$1Yel*v+Ac_H(Hx{)H8I@6*L`(iae^J{@j>
zG}8hyQ)J4(y5GC?)9lSUZj{$@j2=sW7G5a$?L#s`5=-J)J-POlJUwo1QyrK
zQ^2^1mMnD!3)=G&dKb~0uX;M`x-_=u`XnLY1?7Q~$RN}q{gon;Jp!~pq~^BqwF~zz
zfz2x$n~p2a?68_zn2TXKoKLlW?}zkaWiEzXNlZm+MV04whHEd_N-7k)rHdBo)ic0U=|cX_VOZqaaWv@UaeBGsKpF!SAnNjtiq%KMHi1DVTxM+0`c
z*gqYr8Dki!*f0Z+O8Opw0$C10)hCiQQ0p77SmRtwd$HikJ;d4K=h|+6tBp?tL6CA>
z8kcg=dTH
z>_u$f7E1uiFq4p3$~*3=-H9pl+=FW&&8iGe+T*PPENj^q0|MnUmk$Bs(=ZSC@=U3kL%E9?}Ex)MTLe_T;gKwg~$z^ScSJAiL%A0F_xZ;omdLOSU(kh{2
zo*$01`RcwuyZ^5(3SdeP#0Qinwr(T&i;}izXsaDsA^jxE={vGr4nb_8pqN4m!d@!3
z=PM%$w{J<779`3<8f`Yg
z@61$scjv&c-?ueqrG`{LFDu#jgq<=O?s+zq+Oeof>9HDwJR>JPd}^LO_0#pW*U#ja
zfB%K7BqNGF(P8P6zAQ{?&skC-R!EY7>g^gPB9`}c;9kw!B~oru7D0wB;V@&`RTqq9
z@$lzbLix_4Aq2ZXy9G#^z)@Epm@$QR_JOqP;}k)AlcI>U&u4LEJDdbTb#7Bohb|_p
zCoWAfrrH_d&q~4v{v*iRv_USDUVv=%z>mXPgkSmwdfcpjU3w5kstVuTts3%t>?OBq
zW4oUOFr>+iJ{!7Bo-zE%4pZ!usUCI8&>>@a{!89?>vWabkXDKYi~g5&!St$XW4fO-
z@xJx4a!~EyxU)NULZ7j!p$v6j%S@dmpb1+0(he$JFk#`jkXg4o?vbh}k;H%g>za4p
zqu>N$NS0n_ef8SiIQ?lMNZ$S_Hu!lNxEG~9>~D3eoNnwv%>*^9E-LoE(ZB4q_;|EH6T|1oN?9uVw5>otR_@xnq%&y_y$;wUnf;~_pHNObp40eVK-&N`
zBJchz<9=?WPa0xT>`xX5X!c~Q-7
zlJ9>bO&4wHSTGRnFvh^+!_=?6L3{d3i)t6InuXaliItYc=v*llxAt!=J!!*VrcKQ$
zSSC-sK8Q-JdoaCA9ix68uyfQw5vIbDS1#D0u!yV)Q|(ZUX6B^Yv1c!mFSzG0O6aW2
zzbsNE7c$#n#hfx=5w2YK6jP;)n09eq56^S5p=#%{Bd>*BFh6Gd=vWI6c}GL0Az)=v
zS^9T{Tcv$cns<8D#2}Y->qoh*O-)f~LEAec{pM=pxX))X%=tt0c2%aA85%FwbV)vl
zSGeai2i_sJ0YUMLgl{@;XE1x8_C<3S)&B{%z>bZGwY}dBGDcQTBc`HAR6SH}KAjQH
zuYR^>kj+ccW49L`w&~>NgVMfc@_BGj&{^=?>(0lA#YNF-<0=lDx+Ue#dVYnO6}F#e
zYY!iG!>7?)!v~h6c4rMtFm9RGAs@s!YT?N{DTxpi6$l%PvXwaVsS{}{P(hFTU>LH)2b(26W;w>f
z5Bq9fk~mjWcaJxq%`41WE@2D&17NBroGVYH-biL0$wVAJPU3#QyQxwUY{RD4t1wn`;bKcF;MStNrC+ldJ~jdC^5oUnfd`B%NYWewF}O_|{1^BS&qiT`
zw@Jl=UGGaG7g?7qW-3cKT_cXzHRkX^HZt^>EPFjQ!3N|ZMPM)FoG?(V$?&0gHPPu4yb
zQV}?KRW_-(T@b6-lwVMBSizhZsHJo#!`YYsNqo-sK7)nBdaulDaX)HK&}#pzULyn1
z+{S#Wk}EucbwS>WeZt^O2%)^WdNqX#1$K+t^M3j88wJM+z1khxxgm+99@L?3Zya|X
zr8^fGxJK8V1HZ(FffO$0y4$$&ab(9m*7Vc>LDnyD6PImg&POMuXI&sS>HU@lyF@J_
z>X%O=J0f7s)ri;IEnwWc!L+xk6^tI86E4lPv-w!*y+5nq1;ng8eKE^GwNvq{?rce9
zU*I#Khd=8QF0n?SsI}@7PwaN(^{b9=uS^I4&_B%cWi7>SK^)k)@#~nD2{j$0DK}Jo
za<8sskvm!H$GC6jAmo&@XMym9{xJ51E=s}?A3S`7%6MpvJ1F$U9h4%%z-l!JoDv(rM892CaD-HZ_cR_LzmH7#6Eu
zx*+QY<~=`&qRxN-IvRY+7dfRs5`%o^k&_9k#SrB=IpFo
zrriufBHgUGGd!7^9|~$p3Y3-|Q1a`xYJfKtPxmJD6ecv1%iAig_R8)LL4%QM!jD)=
zyxpAoIIef3JZq}(@raW1C?&d_fIW%#R#JhWlVj1}938V6Ih^*l4p^;1M>aYscX8A(
zlo`HtAM`eR)myeM68}E+F|~UBNB?C5laCLoJ@qo0`xC=Vl2clT2H6*(cWCqb_QX8R
zX*C-3OILVLXE%yV`PjVC+OKhA^2Kk4a_vHK`5__t*+PT_w`J2B?{F#8-YaelGcU|G
zZR>NfSrI}tUMsMFktW(LCDpkZZWG)E?d0;=#3Wh?Ixwv-KaxIQSbl2YXI$qnMW6?=
zHLWyY=}RgpU@z{Ut8eftH%nmqSbYC)>5-H~8c>cMNtm=7&Sa5aK~GcKW=fAY$A6gj&m7fpnsU6v(rk77hrGebZ%59GjF!O*{B?qq&eitEyUqOeExM=WuMa8{w
z79er*XwBQseXQekO^tI;sP3t4gyQ#rZJ2u8PeC2bRWdX^R6{~2glSgl5C(bqG3_e6
zXHXzl$LeA%4eC3|V_YMxM)Y|F9oPUiA!};N!XLtfD@N-~=HB#H8GP`apaH6{;zcnF
z=2XV)t3p=a5tJe*JzjnTw4l0L+NpJXK-9F;{4f_(MlrWXE~K%|iU(E}0|mL-R78uf
zK1gRiu+n;R;G+Yv0O%s+Q71zg6bW7A{c4fX5yfp*K5k^{TENrD*lA*ENgUiSejNf*
zw^SJWIP;r(C3lf*L6XjW%V*N?L{s#TkPDu?u@bWHX(Q!%64I+Zq
z{AXrcoXu*DWomxce$jQ^thO3xmeVs^|4uqT1hs|$nv+|L`?)D&YJ~7OL6iSG1@J}x
zs$_#M)&E{LYw{K92I9)2Okfch$qHkoMIX30#
zeofjbQKB&V;h6g!1I{DW<%C^w=Yiirp;CeMc#wxB2(Xs9)VB@{NZHFPXC;CSvN?ne
z|2aWd_Je-slC70@!J1rpe|l#k7}Ho}Nrl6R#iE_MvQD+X@U1rNJGJP6jTEqZLJFpO
ziD6sC3OK>mNcQ!=*swzGzjbQuBG{{tN_=~+EYV8n%l7sAqdao+15nYw{z?q#3EN8s
zv&0al?_iHhLKuuE11(xnGx?hpk=(Q&sW+fq*OmI66e$9R9pN|VH@SwE?ax_}dN85t
zrtIc25CH~vGpfnDE6d5wggy6=cmDs)76Z=4qiV?e!noo@dWnlo4`1Zv{saJxr`SXs
zA-S$QKOGB-!FV>nL(Y{OPDyyH=xQc_lZ|iG^b{^}1N7iQLW-*LSY#a(%$?f4n`au`
zrDz<~#aslIHEKYbJrAE@>)RA&m%Pt|T*b4rA{Y{83N^Pj4ohyZX4Ga+ud}quv0t%B
z!VnWNGF6a=ix@6!c8g{bnbME7eo6EHYUM$$dZWey5rMQz0(we5`s8ENwcj?%p__-z
zS;|U!@uq@5ZrBFrcOCeWqqZau4{XwE#3HoriC3}T34C+@H52sShb&AAK*PT*&Z=sx
zE?&;6Dd3eBmPDX*8xMuH;?H6zaIjpfMK)E6ai`5`Xg+T)39AZ9G9uAi0E|+N==+23yi<9$su1$G`AZAfNyYkyC9Q9ucBdSZY@7=^N~o9KH^0+WL%ehe&HH
zL8jm@O`-m0N~fvVD_D#Vj8Z$^%j+_l{0|Fob9ayX5zqZkG8)?I~em)l4wBa#ho=wUlp}70xMf
zMOsR~@1IGU=B$83RQpH7K{ycwXLyr}PKXz=x(i`N*~~*7>CQK3trdh5dHE(2%v>0p
z(8tf7_~PKC&W~!{C^T1aPpE%)@-_C0M0oc=DLg5dA?DBzFZi)|0XYMuX*OH3cXiEcbe^cZi_PY+^G`P(5}U}V@W{;Ew+
zf6`qT;~PPxkTkGtp1(5cF5SQBWt}6JW)Qac?VU%OY3WcXXc(%X1}2W;SJikCVbj(=
zMuTT`4=zG)i|UcZv8ijo#!SwXhOxU(&C1!t5D-weEPl4AbR3DVNs1%KdK^~|Z*26T
z;)iCEkGN#fsjI~gglm^+e}+g|hM8clACSqVh}xtgLq&^XE4
z>)Sy}N+&G4{SkoEO%wu26)QqofALw7_?-v4S?qvxvnYR9oi^^Qb(|uUd$p
zpZK2!(#^Q~D5XtX$1sawcPIkQa}bkf0IM@)oe)7Jz(m-MjR5J5Jv=ib
z>9NTEIIf$Z@k{e$>yMO4Rq2P-+jnP_aRWPS#V!hP9Yjt=WJ19wo;>;(!znH}rWO&F
z{(DiYNu<7pZChZ_{?^L8JH5r1j?3z@nKdgk|ADB$V9jCJ7ok0njgd*XQ0q>qu(f_19hoB@7h!g(_5Bh5I2
zBcotrfs^y~iFZcR!(i|E7o*Lr@h(=E5eojkg{8%=hvkRt&_LT}%uQ2*{X8$E
zOG0RXxZ-;MPWnOzE
zB`o`bKXtGC=ruMKS!Br+Eq03TELjG*R9lgjQJ!VY>o^O)N(;OofDwZ;X-26dBI54x
zN5M)ViwOm9z(jC|(oKbGWjHR1JIbN3Zy|Kdc2>`=ebv?ze}q%QLB?M6^K~Mf1bKTR
zBPkUt!A_>Kh_a-?r)-&kJw|QPSsURkOEQucg(}TFz5eQc)%0M5;V!ST5euIYE98`D
z+|)PxSjtkX#RxxxSEdW{xu?~Q-(FnhZi}$wPHDyOq{1Tg(RuUpq8o`LMgvG<$!?+yKym4o+fU+~*h^4ZE6sb!lFLy|PbQPGlRr4(naG
z96n0#1?Y`hnv{F(1WTBol%c+Gr5|EOdv1-8^TSr_8v#jz_Q#WzuG|qK7!WoL4Z%n~xU6OTiWzNn2lz#4?(u0X08;bBl8K*P{P;LMWWX>c>D2jr;~$w
zcc&8Zjy^=wY!vKp#qGJ$7uu3-)hoP?2DfCIFQ2z6Y+Wb8>MQL@``_Zx1P3B4aZ_5g
z|B;p-fr;_APFPPcQay;EiDM>VU+nVw!@(%~#fi_A-NV)yrHBtH%Y!ePc`^Cx_Ilow
zmrsouLrOpQ7ZKE7-&g~MW`)M0#o^f(CtoRv5(fVNmv4&
zlqA;0Ghacaj@38w(1(HcQL+-0|1z9Az00guin3SqvGHBHugL(kH2?iW}$xNX;#IKt=FOm$l
zFE=T;+yber%#TOhS@QV2(K^(e#yAXpxZQQaWmZBJi9mD(f@B-{tT)5rt=N{4mU_>k
z)4K`Vy*H+FA&m-1FZNoK)yQf&x2$JW?%p1rk&;eOTh6q0b15(67ypzSoH*$-(fJjm
z+9I8MEI4=}$OxLKFtDT|up%+_Y=@3l4-akq>e#|6qB5oqj#Xe8NG>C{nPC@-KVu%j
z0MJ@$v#XDGqmH|>eJMnHf3Qk7oU2#6Oy1i`_Z~ws7q`L6pEP2bA5mO~jtDue+apE<
ziZMGR&qsWcC_-^;cqj|B(M6Z=G7*lx3tE_+>QC!i>)qJ1ApY>B$h`2;&FPwE6!FdS
zsm21w*Q){U7GCUAd#Lih#Q|R2IQqY>7=kEMm~2>b|Fhi3g36hkAb>AVL<#N9Zs?rE
z?xYXP;Lki=kx04P3F|i#e{Gg``Cmh<>5i@$!NhheNte$=u>3rKe16Y?uawX{t4Q_b
zsX1V$WhAog%s-h7i6t31V76~9TEsGxpGP3S#)smqitITPi#?YwCIuu9Q$ZaTMG6kJ
zjAR(IEfBW7EEPM&PrBn6KVuHw^k8{%=sI~z>mBa9Q_!MdY@Vx!e82jwb@d02r%d;0
z(6{B-@{mXSW1AD65yfmtF0Xa?n*UHBq8$2v=enG(I*pFn#}(qg4>Cx`YVZm(K8Rqf
z)jdFgg7vs&k=6Db_anN*t6n7^LZGXw2hDA@F3by^$`<5xztMA{#(`@Er8oj&?IM0U
zB*)LM9v%Uf@Abe+X_HUT436%sX0EroaiJAZ$NYRAm!F!$qEFIVxjb$~T8-gXigr`6
z*iXqBX0L_4H_CIs*=N
zR=M?k+_zMpwwuK!t>R<~JwZCE%}qBqG#YT#tDcY2x)1HUaHlRbDw-y}T#<}sWzBuH
zJxu4sJ){1eM(sek&>MT`pFWaCfcp4`UDBOsWzF^7}J
zGi!|0pTzs*EOfIle&GA4)=|yJh!0y!6uO@TA@wE1g8_9nmg-txrGWEUEP>Y$>85jE
z*Pi_iIpM7{76MA9#rA7p*Ko2&kTx{P+pcyvBbSQX`G8{
ztff)!xWL`652ZVId2*t8zAYMO`ay*wLwaM@(luv8gr(-7h;P`ZQ+q2^(p7EYz;)jIttuY>_xv^4HnLV0u>?GJjnW8%MDwC
z{=QSl#xh=J^0zvWar#^Bz}I@sL54!V5>=b`U2}?Ts$DfM8hrxuU!H~0m&bgZF1=BW
zPm*u&rA)H?=RH*0P+(4J@G6Ov%-Qj5?9-Et7ewT>O9zqD6K0x|V0$`OC^%m){6p~Y
zo*z;>LzdnJnA8j!Q%tSe?n>J~Z?^)o-R3{T8gVa%>hS+OE|AykF>79sT@<~1!xCpI
z-=@@!nMHBn>7$b`UA7Ej1@Ez;oDis{_RORn-w*b8EMQ&0@LoLA%*dR3bkm9HFF@+4
zC?SxE@^xK*DS9HR7y>WhfX})RsI$r}o_ZxiRMeLm>YXelU#4Bo5K71)Z5DKEI2Fc2w2{9IS_uYip*SwDn@QGQ9#Is0o1#2weSShEhe1Ht~usS%8pCjE*ZYYk0MWSiFAxLw=gtH;l^k@6V^p
znTqlyMe|4Q4@H8vD|XAUo=;n-?oy$4$&Bn5>!2I%9p15v144%!&KRnzxYr*TZ5KODggWWEgmyJ%j#Y_cxehOPBDPM
z?6;P7zr!|{C414V!ts3PSjWExbZ|>aWoLB89~#Rd(7C=*iz`XPX=t%<+e?gBI{;m)
z^hefaq}9r`F3Bx;UJc(NG6;_U$|P#Tm=@MZ=h#9fW@_Cc;@>y-)7mBeRH(!lWiZ$k
z6W!b%KZ^Ku_nTf)`zyMY-jqVk23aIKEE_H9FK6!XfCzjVpm4K=yswhS8{SMCKM?pQ
zIJ-(@#*r8F_RuVyJehxK?$*b3O|w8Mvaj+{!%3*t#2E6GCOO6=gdD_joY!B|5~Xv9
zoA+dYU-C2b(*HXxDGW3%-@?#7#t8K~ZHM1HMYs1bA4iiDz%jcz#}y&=H3Xr_BFaBN
z9~rWecUY@w9_qcAyyAy0K_O$R#xqGz+^=d!OlXT?CqNy^NZ^72Z%{$R^}5P(o_7B&
z_JI^t11YL?EHwP{g^ID5hMgQ&8tb#mYZ(dYUdN`vGHK=R13Jow0iKpZdi~jlxUbMS+!yt@x*;l4-e2;{c4yU;nCpJJ=Fk=Zr4DsB~V
z789!l`HL0v>x&H>-AgN4Uj^SUd%rw;t=1nJBY%`J&br_RBnmjcxxLd?P5D+z^p8i`
zy4*c+SxhP$zpOa;t=pEc0i|jrjmzjjx)1m*AoB1c#T~@(f4Kv60sWI}OIWvz3RwJU
zRyleK#f1TA7RT3?+bi<3yUcoLrXfd5wGlbT6?Inq>kg6Ywgt#JG(9SWD_`vK=3#p!
zEd%OT|0GV*16l`NrzY5aFd6&w84wnGHMSlq=(h`xLQ$}K^MPirciIqJ5KqP-Uu~37
zXSMZ!3O1GKo7v^F+Kydqw1fvH+Kg)U5Yevk>b`GmE0ah5;|Y^lB_flw&7$tY!I_O7
zHEjamC=
zPxBh=?H$=ph5g>pxpt-=;UQ^v1R{|mKZ3=L!p*i&+{Bsv;wIl5V-KG>^-gXD=n4z!
zKH>;unGQ)Bpa7~xh&efgiwqA&;Q@W2rb7CE((?bCkE*iUWFp;}2>*X4-c(`)(Q(H~
z1KBCsyet*6ss{^A7l*w<`vN}HbISirJT8SL2)?lRewb%Ah}nmZ+vJKkyNsiC_1gx0
zsZZPRKcNXGb_JAYQ~gv1?SMOl)O;P9`nqA~7v&FES~onT#Q&xmr3s=Ck0n&&vu0x9
zIBi2*4#AD4#F_XYt}g0x6L1DKf4cIYEf$QeKnxi(8jVbEc_*dLm>|3OZc`@VkGcEt
zq|@SCMU(%nn%=wz6eZ4FY9-byKtDss3)^KMt#$af`+Et29hSFh;Pt5SP^BG~5C_~$
z9*8$;rj+C)2D#JnRz$>l@LEnUY~lDP2(D<&|2hc4XGmH=I^;)U6}vVZGfw6I+dcu&
z|JKJ9h;O>#7zy$6$QVN^wpC}li|D%EcLRT~H)THbJ%SXizD9tTyIU;S*4G-P#I6T%
z(O`Vk^`z}2{Zua(@g^P>R32|-WZZZTApU271(DYDP`>sqIOAp3K>*1z-k$*|+D$|k
zYD4vHa_le`00!{m*b^!ofH#?r%m>{Z+}$ReNbKvpwwBDiL6Q<^=E|Oq-GT
zH;}opdAXHTQppfb@e%Fr32nR!)Wz(BL0&`)1)Ku27*TP<^RD|#{0`6mt)y(^F#%a)
zwz~8xxFv0e)RiBGfNd3Qh4IT5Oq5`chs3{A+m&rcHZS}?`*}tQ6!dA#30d7ICU0WP
zqx;sEb}NR$N_oikw_)iSAvVLiWHhY{_|ctHPWx2XH0h*ndIbRPpO<{=Z{jRxPx
z!g!vW{DzGR3bh!1Svxyf!FSzh<5U!SIrx*uCxHvY^S+CvW<>XAND|Ke;$)E1rw$>C
zh0DByOq+rac`lLZZYqPOpLbHw#|Sw8I|;`?3a&W(K1IVF1W@XZ121-AcggNJ@a-dV
zy+wW)S=74OF&Q|jCo=$)IEt)h8@J=b*)79NM6#+n#b{KLNl<%zm
zqN|>Cgats6tfXwev(eLeK>DrIpYd44=LVSyu^y#eglMs9KL?tt!NB8C4X6OO!1iUw
z6L)X$3lmgNU1&RZ=NnFff%u4Z;wx&y?euf@
zo16Q_tJVJUgIy7}(2}?!?LtJngVw7H&Rrq5#XnTPSd*rW*Cu{N{yVrc6He5Fkj-rM
z1F8IC^A_-A3W`VC{7qh-=PMU`iD)2@jTg;Kr}TU|jK6OIKtsCLW9Qnxu+^$+D>B(b
z8r*z9$Sj7Wnv>iUX5Rm<3`cqrRaoS?VtxWc&zIox+y9d&c45COg42Fd?h_8vUkbhu
zrL2haYp)ImH_BLNHzVe;jmwehw1UgO!xOyP7wX~k_+M15oUSs_|Ls=_Uz@K>JHgix
zRB8wQC+P`45&yjW$N~3ljLOc7Iwv(APWGw(?5sTHlDY6~1(2R
!+T|FD^y=7nWKT+y=i$`U`TN!QyG`tA9ZcVgUPR5gYf(ze8z4WH
zV09i3yVrsT`(tNc3UlRu4k~*MWYvp~%3)L_A*kw4x+hNw$*JV>>3$O6mzocrrt7<1
z7)EV8Yr(AiKxVmDvasyH*ZSCy1LN)y*ELq=YNXixYe0zeq`hw6S|s}h
z(XYm|pL=klYqTgV!Hv9qPzX!hU*u6vVLQWx$oVkr{}dI{$lWjAAvAV^&<{49jG}Ib
zl}NC2i!T}4FbK4LI$n+h#0MT`9?=0Y5bOO-P0ELRx(*(tpU6t-awI4euRr0vojaj{
zHbLfn{;=;TaLa2w8Wp5}=1~30?htzulW2Z^1=*S5_pOBaE6e`^pwxIil|N-tHIMy?
z03^o`&Cc-aGJril5W=vijDLn25JJXv
zamT1wipqmZ)3BCpG5xTAKx$Y;%#D6Q$4!rajhadsjjgJ7;3jBgd58DXH!;cXO
zbo-WQYZ5dqGEe(4gp$uf0WwlV$W)skx;^u^rjEhF!>J8S?CDh)YD98VKpsr`A(KnD+Sv!H>
z{RJ^dc0gk8h(XQGc9~*r_{g(!gv5gOF;@ed&co+svAk*TLuwJBVd+bYS{J+KL&0M&
z*PE$CylO)n2&g|p*cCY1G!bq|D%2?j{@h7VO=?_3rUw7FYSVEMA}Ro0gb^diqy$t=
z`bW#KA9h07r*4X6)aC0idhehd2qVUtfw^#H#u`3IYWTn+_Z=NjJsUeOYh=V``Bt*U
zt?a{J-OxN$UJS1@a>0ARU3YgxXs6gf7{N4{zzLv#RaP96+;VcbTMfp({M?2$QA}_c
zzJhbWT0LsfHvngi<^SpYWTKjP0EEBScG?KL>sINf?T917CMh&pad-NaP)3>nL(Tg7
znx^yN$}zQivIJTCu|NDdH3fCcKjK9uGUz=JVv*573JXh^Bq6vU$i3xlL-11@6&hmq
z-d8+3J4>xk`FHxBIN@CYt%%8nU$3j4a%32h|4I8Gjz>j7zM)jM0!b5vIG`k2+_8tz
z=K{1M8Dc>%sLd-?_ZK#Gj@hK|*V4Psej!txQrsZ>>tptHL!SyMPR>E^$8d=?&wl%P
z--~Mp{O8VP-YvQUxL+oa#k?((!-^Gox3@p^EYPCNF+9Y9W=b_a#!GL4|!PW#^HPt#V|e<6Dag}5ZMd#Vu9k_c1-}@qenV3PQG(Nz?pJ#u5XjFB%W%B*O5mJmIypJ*)w_u0|-FNr$sWG`5tfBi?=V^VN&
zZu6ISjgN;!Ti($up>PfRDr}*QtZ|(V{guN1Q6l@c3#4v|lE6Wp87I!OR_tzAOh5D2
z{LD!T#iiCmX7T5Gxc~T|d~XPDHeSzturWpsZ|P&^qyArb)mqdSf*7kEjCLZhH0N$O
zb_;wOB0-w1c3ss8i>R^n*0C=OA;?u`sIY~IA{x59e1AZdQP5^$F#Dg_WT(Qn;E=Z+
zgefHzc+c=e_w_x`+YbjSQPPrU?}Iz14}Z6%&Ba9!|Enx8)q!EL`TRS9hrIY3UHwnk21LH%X&u6AsU78@;+$tZ>JYbm~Lip_>@o7k+l
zIiqY$QvbO}n|`w}&xOnWNvYq6{krJIUC&1Ee#6G)WJwPa{AVLDJfB0MG?|Y3W7slV
zCkp{8^qjjla+6Q5jLXrDEkL>*ztQ{%HO|gw1^Xsd{6q~{l%ht07c9rEp
zVbp{dy6Q)|gfJBN7uHBHsSQJf_IKQfY9dH{n)?-_P9N`0D<8MiO#X_0+xl~T@SMqW
zo%8bw&z$2SIs7Z)SR(*JP*mhE4|{9n5kWPyykv_a-Qc&g3_IA4HeBP1>xHb_FhxI+
zofAa(_^Pl+I9%b~t4D?wC&~vr-wU6nuw1F`U5*|vc&Kfhj7hoL7z~0c5HWWU!Jf-$ex@uqyYXb2e_45a4WCtNq7if
z>x&rFnQb-dm?6l(FS
zRTV~K#Z;@<9k^}LppU`mH`GL$}@yuagw`FOUEu{@|)51*uIrUF_Fia~{t{&Yp};#$zvfO;qljQ2rg$
z&T0r$ee=CPeHt^=C%k==^BK)AdP(x{3Roa5OyqrRN)~^W_dnmLieV{=X50|M`}-1{
znvG1Qx=^Od&xDj`t8vR|e~xh}3I5J7=Nklxx|pz6aeDW?XKl`DtueTnM88!dITqMs}OT4>=v8v|^Lk%|My8|lg4
z^s(4)-w}1*)V_$key@)Rmy34Pmx!q1`V3YB57aaABq;J`al5X59|DPyiAd8sVs=G^#TI#=oc;Ojf%nogp2qb{&3
zC^m{9MGPRlgVcbC5D^e*La5Ta^j>VBqLk1Cq)6|*2ZCjh-a_w64^<$52?XBxv+unh
z?uYxq-~Kk4a^}p;InQ~{nGmpfLr+`$k;U_Z+e~(eBHBToEg};qsjWm>YDk2a-x=DX
z*g`DLT&yTAg`U}-+0OD>SDN?iGc%oZS&$OWZqGCAA{nsC!`SS@1L{d|a^RGWMLl}&Ui?0azz6a?r{f=*4o<}MzG#h2C
zr%ZEZ*}=|v#?Ui*hBbs+rO#e_7vCh`l_`mmG`)PNRqB4a!e`%j%wd$eK^xUA^#%S^
zu9LD?D$KN`1FV%a@18agRzCOlmr%$2x8yH9y>Wz$Y%fuiP(jWi<|yB!tyw!I+!vZp
zcwrmNq~!SH{p%PhuB{qWN?zgvf3sXB4@5<9F!7t5DrCk&Z@vbXLaEHX7kA)ysWiG;
zC+wF7J!SZinZm}&PU@+i!p@tXIVZd_41HuJlNIqx#NyJ-UWGJmWRK%*Xe!3L;Pf+I
zxgt?9tJWww_z}4!P`jT3x7E7^eQTu%#Ep&-)Q?wJ7rU6OV5U9ntCV)@bScqaT)WQD
z@cicj2p_YX#c1-*?Y`rbSWHSez0bmTfyMX|jq_DmM?5FeAPZ=|$MkQE4lYmCX<
z%Bg3e6aoi0?Dj7E@G&P+%ZBy9qpOHXtJCqnTb(`j7t@z$eQlEy7eA|<>fVK{iHZe89Z%8#y8B^uHi8k3ufqrTUM#-QLbVJWugsu_n
z*?9Wr0RJ=yE5bUtxlo=Zq#4Xk6BOCyonY^lnY+%_A=l;xEs4Dh(kFfAT!&q@;X%i>
zt|vc9JuX?M3f9_zHmEj(cn@Yx?_)k+X}sLDmDGcobORHU(%7rJmOfSjjF5mdFi7Dg?;1LU+N%{GXR{4v
z!&9U4Kai!>E1>V$w;-LD$A4tQe76>Z*Z3GL<2cbK)2+{RD`oi#ne%KAH=%Y5RA5)X
z8!0=FyDIN$sXO!te?sF4VH0E4s`OH6Liqjesy}ufCxZhF+=%G!`B0Z=F-SM}J_frf
zzYec$&v8S;M=9%m{~I>(?oh@d_fvDF`RKIdu|BR1^KnV90h`2{!^}Kiq09Odx+#kK
zz$ptqg?yKbg=a3j=E*`Nm19((^JMbXxd>HPmvOu)Qq@yz*zDz(J~PoWxtOBj(^)lu
z-!Nyk-d-q;p-1r&!yAjl#@YCt83Y@iP9QLaNg|dORs)&WKU<}dv!M?CvY-R|%gP9J
zfJ&zSqf(!}N6Bb#%Q=u)bw`$#3kpUyS)4*~gv=C|8FEshkYTl*jm+pcq?q(hIB?XdUW{pK9#mpqUg8z#;f@@lB8O9pR^6
zX-$GXXKgFO2U`_BWGz77FHnQ+8MAPySY2>?z8
zAPtv^z8NzH9+Cw0d2aF=neFeVJaTA)Y=_NdBe*4aeAmp&3
zb&gc2U<*&42CrZ2a9Mr&r=H3vij>|&c@}&rJO_3-RPIf-QJ)un>pIo6LtY<}_0zH%
zH17RN(9~21R5efnSND4{0YZ~fx6)Pj`&LckcIRL!`h
zQ%(V6yUeljIoM8TNoL`;CNjO_4sYtfBW4U|%PIVz@hJv#H;G2o)&^_iCf;Y^v~ta=
z388Y~r;>F82oNfVIViLoOH@|)eCu2U;V3oXoi48S_rxs2f8btUBX`6ms2MYtrH7pAw)k
zIvI?>otVssA4X#psJ{G`vi$L_y=ZGf%mP~%Oa
z1){c^RSF-0{-Ms~jQb_nBE!T&zKee~d5CGbuOxK*c7OLeEUZB#!X`H>#=I6;X3bbD
zOyk0Lc;7v$i3++~!s|2`I>j7L>Oy!~3_K~7E}J@}#%cO}!uS1VYjpSkij#%YUWeC6
zJb1WD%xrdmSXT=3*F!%Z$TT?=rGk0t8xH@LP9$>;e(X4YWG1^Yi1z!>IWQ`O4WG|=
zx!>$J+S`-9=x8%t?KItO({U6tY+D>`=``SpbcBC+n~iE2o?WJ6aO$pp&IenMCQaK0t>`mm7OqtVcO2jVH
zC0OGnWDPmW>ZJXSUE@>Ir-iS6k*Ax$cwPSjyN|3PddhQ>qvxS*p?!^RTUcR?2L1)@
zlE4j^=RB6}Mpeg40untTM#J#xIl1xFkDNN;FTaJIm=wjTg`eVnp|c;+dg>hjo=Z|~
z;x>}r*FGdIX~Ni3-5xo;ibFRpfqx+hnoS!&zVDat#RiUTl>Ehhz_g?%$F)l>7DYO)
zT5fB%fj-tx>*-@nWP_;=22#>s9=@lkSnb24K6oAq0GiyTgZ}x#Tko1*m)`N)I765VAN&$B>k7a5|^J{tT#bACSzKe*e5Xb
zAx30FOP)ZO&_L@p&SDO9Kc)$c1|oI%ugC>YEfjIj?shkn1pS$B;z`x)b333WiBW}q
zzQyEa;vjE5`)UuuKtjK+VZ3$SCQ$4V{_xicb=uHg*AYI%H+J6f3)NgS89BD_+RY+}ogiewEt>@vgJ4GwH%b0AG8ryNp(FWnYlHIu0
zy?4^BTeJAYe>ZKbyL=W@Rv_pN@&MGK79TDzuO
zn;0BEM_Zjw>rqJ%E==S=(SFu?jTd=5%d7~yU+OEz%4!gFV(-kVAV^f0H2Blhxf+(Y
z=GeK_86pE#1ye?jFe}FFkCb)JI33F|Qx-(YH#}?>LVVP$f~1X*UB*%a@fySSuW~`zj5kp6@$H}IT*UJ=T4mZ7ikldy)fDQdy#c0
z-t5zpY2mWDis$W+KQy;%Cv9G)U-?&xyYBZc(eAj3=yYKA0G*;4J9quW35YQ^()Eb<
zkE09vFR@xvC(~M&AC3)vl%X-17QwA#E|ZS{6QURm<$`*HuIv8|sp$*-_^iUv-ezQ1
zrUa+7L%EfW#rBJmL`!vbuJopjKXE*x3?K0iknTjS#FCWpPa8DAFwO`O8_-rbI`TM-
z2_`c%s(BcLIg#7V-@0n_HN8{lK@(p~0i+umI>Xt|4b|D3>1Zx>+)l2c5|)`gJYgtk
zGP@q$FwTQvC~nzJv+Z?GmH9QYZE>kVW#<7h0uT&0&--DFChXNwtD2Tw3Ux*uHC
zFP7h%sr!(~|0k8d>E@N;&TkS;=xGg#lY$~KY#fHE*@^HPbt9fCYE=n_jVhj+oE-{4aY>e*Iy>2@U@{GmkM6>yM>{GT
zNC;~D)2*+sD`l!ruSLHM9z6pC^p$6=EEM?||1S!`Ngd2>uWW%j#IXJ8OA=b1lZFXD
z)+lrNNZ&}-#%apODF{>vaXNIewyU0Eo0mG^;OlS=ZwMe`9@&1xiy{SF8gEB)b69*`
z6HqFglz*;Yl0?2+D|Y6~Gu>eAITQM~Q|x|zS~V`gCfeHS!}8nnCn-_?tv}J&>Fji_
zK)?#2V<&f9+A#hv*!NhJir0LSy9tkdBI~=+4#EkD=nzY{uAhp1iz-DC;FmTz?W-6O
zrh7BXE&!N@)XB<(VU!IYHSE23{P2Zzue$UH
z6GbVNy6`LOA+y$lBTIY?P?zVeYx*$Z?i<>BU+OuuOl}Suni%+LWY!+d9p#)l-Dn7C
z3hSB1-OydG7@(i*9(_gmS=>vRN~Ej5iz|LIW{gcPG6J8Be43
zabO+xugn%glJaL}o*6A}w%lf%4n9=YO0N+~lm>Q{FM>PbmVgnTebfeJPvnE4IQi%k
zT`&S{hsTyL^kV9h1N@S9iI94uDemj_G>O*kQgsOitozu%6x>U^RIvA+AGV)Fbi1_Q
zVI(#9MM56Z9JXLZ(f|4Cnu2rgtjq4+w0poqcb`Eet{~&oDjlqT|O8-cLPKqPIUBZ7m;O7h&i@o(^NU$t>@6N3o3$4idtUAHyTEJ
z0tmW+{aC533H-d7M>G&c574zwaeGNWa28);euLIugyYE?89iGY^)7txgDdh#z03%V
zr>jp5EcBTA)-Nw~E$Xv+|!=hO(BBPI=LT^
z_`}&@{Ozq@U=g7fT-+BjRFacSXT$?)7gQhk=dV3L(Z4d?R~sx&`tUBtJ%$1n{kGw3
zpD(-#dE+05+@cZlBc5q->U%BgEa)`T#<73VrwTZBZ~v^7h98Nx*qEs0bFf+iU<9cI
z97OH=oZBA08y@|^M8!@IE&j$&sV124i+BU>7TZ#FQ5v$OHuIs=%qfZ3{`M1y+F^_w
zFMiviMVnqYrY8pv;Lh!&LC#rGv;6Geu>1Az3Kv+=n%%++=rm#c^GDtxANQ%4%HEK<
z`?f(Vn3YmGGZbCSu<=@>33h{cEgKS6NT!bh*516+@b-Jp3m3`tkd%NIp3i2`e7R(?
zyw9iI^Z>i*<%~WLxAz-#>LLW0d8SdrqG?@##fxeb&qA5Zc$EkMtMbBXJ9W4f;5OG
zbRNuDfhq@NYcr-R%3UQb|I?)Jz~wBaGFypDU|eC}f&4SDrh?4IV4s5(?Z>`W?6RHK
zY%xu3!8I
z&G;9>Z?c255_?4OuLNdEQ3+D1{=p%lXJC}~4dt$X5I?+;)Vep)+3PZPb?H~#>T=uh
zm;2BmQFPfWIy22=#m2{st}39n%3N%XgNAvg=Ji1{JkVxzb=%3J6I
zJLtkLMcJ_vaDwTG%m7tQ%4SbZ7q6<)3&}q$ja?x5L`l_OOz_n5)0;mRuh&ueU;gHP
zMsO+2==brXg1Vl|w|8F2FsWPo`6c|@GdJLz%JhrFpr$-
zixtmhsH?}Ea6BAu{b2CJw8KjQbTO}wunG7UXaBf%`9?=tz-9w=&-xJH>0#r)Czv-h
zd;~(g`lwE}S}=Kcw>A_1vavCnuz&b$N#H<^_-%lV^}uN6E_7vH8U&^X?Kcz&Nmbsp
zjSe^_E|+;8P*ciK!K?+w*O+
zV~NaF*t2TrT+JtU3g`XD8kQColM+{&Zsn6E_2>(5TM5|L9i1#Q|U`T-ekWvqBgsX6T#nPS}
z#z~C#ipMns5DN0rnBaLeXB1tG-ADPh{IkYe=)#U)Z?2xtBz4AfH_tBxE<)o{#vZhs
zknP2~e8=>)DzRs8SGVV7m$bA>v|t&0rf!ep(QyxQ5PbMTCtIe@ZhndW>j1hOYvGV|
z!yiUF$$4mnj|KViIcr$cgU61_&g%(Hxe%NPt6wkU7di25vxb`-`9|%%{(9AQ#^LL>
zVIR1ZqE{rWX|p5tv^z>SGyi?q*pSKVr>f#5pK=y*V$E?81`!H4HxY|e)2#wuqFA0&
z;94wO+)Fu-EyxyORp)fbBS#reJG=N~%I(xW@jBOX2Xuq^-(zaK
z-GSvfuMy>GES2}d=Rnu&&+3?umobL$tacY@q*P@)$(ea1iu`_IHg;&*p6W2nrQ==0
z2ZMyx*j8dESznz;0>2Iry!(>41tAsT>eG<
z+}w6HmD>QHqV%we)llqk-xxq08X<7$MH5|O#0w4|9EP6_;uI<4Pl|#F(=X=nv6Rv9
z_=KTU?!7-KBP2RysrZT5;X7k%&=1kpx;4{KVolIPr;kVMpseuJS0&=hmgFETEd2Lk
z@fkQ$hkHolV$V|7QPp+osm&c>ljgaG!Q+^&8(o4f&HX0^9(*qteg
zG)bQig<6Jw2J9!JKFFAuWC;|y;rV2rp)lEquDvd`M(6F*Ty^OVbimGm^fKT>dDBzw
zO!3z%;hxL-u5op2(tLkry0f#B=Me)Pr1m-msn7@N^i2rePB?xbcQC#Cf1Q8m@yE+%
zPwKILQPkGn1=({fP4XL?QmbBD3+dv+`X6+AOD};=V^24Xd5kmzE+T>&(*@wzh^@aF449
z(oiDXJ@q1JGo~#b3KGTN-e0G_wZ^?At?n`#-;~WzSBP?i(~+{<4uc4h_1
z<*yYgN{19&Cb#YL(pEK$;?PUtBR}+)6(HiTzvfsxbOKIiB@%H8=kz&&pRSoN+?uVD
ze`vODv#e%1rtDX=fN=VU+L5*K=*;9>$LXqJD0!9q3N
zD<_ufI}8|_Cloe)mSpsI=Qdy~S=h?OoTt
zalKAnl(TgEIbbyEmy_pFS0xq``PA6h$7@yzK2`?Zx|d^E1zT=!m&$=ZgaWQ)OoYLg
zD=ecF_>t@K!%|TWhn{UUMAX4qn6NP@tHFNE7dR~RbEtecs@~~)=Pq{u3a)m8+>>+l
zKhXN!3}{m+V@;-XdatS=)`hHQP(!8Fv~dnSJG3qBygvwq&F1C#>4;_??W>0mjARsX
zLhu|6PkNkYKu~Mz-d48`6z0-c8qS_mbLSH<{4I-2Unj(w`K{F5=NORKNZ401;zai(
z1n#4J@O>aAmr1+&2;{+3to6vpJ3p^T$?84Mj;L(8k3w~AHm{ED5xYUcDD)R6NTA}s
zoMWKhtghIrLq~2|zb8$f9}Ss<*ufqZRsc<^vWjB2G%yKj$clN
zZbJ^I*K$L39sGk!@-t-C6Wm2uC|pmM8zEF@rk>_k6E(T`mN-~w2SKb1ZlJpOjQ|ff
z55{IKTujoB*%?@4iBY8=dSNrX_({NOr<2tk&z447zLK&e&rjKIg7U2Gn|4~xjc&uc
zX1%0;c*7%GynG`5a)i@8c)YS-p*q^@FFx6K2KJtxZn$G`p)se(&BMe9f!HU@-3MCw
zaw#sBd@lL>3t58AZd>eUszLbc>*rp@+-s|$&>uO;!^9`>|Eb8?t4Er}iJRi=VlVm-
zhX+1uLGU@9x_g{Y#Hz$`VlD6B8Vzf|;vwIy|lG+^Z@5F->URDYQxipbr)r
z_mc9FeaD6l{A6e(>OjcVzjkM!CT~iJC$#`8J+U7pg{beW{C(7bPUl04%JTgkabL(a
zneIvSgcgpB_SV02Y~6WG?StQ{lDT12Xv-t-NVwo6==3^t
zc9Q-9^C_$E8^8>GZSwF!(R0@gjy=I^TCA%l>Cf|HIZ{TD>x|w`vVin@@&7mRmu~BI
z$7(j^KooC-)Ka~+C{+#%{ge;l*?4C^>qhFj1gL1q^*NYMINPe_%!28Rn>4RoK;^Dl
z?vAr$&`cE~N^nQ5%@rXPU(D0wHMz~5{%M?RPzv5*ynMRJA!*#LFTZ59#9s52IkHk$
zveG$OItR;ee4A{aSWlENp;7G){6$y|vp+3Z3B7rfDgZW)Wij|rq~$vOH6?!P;jTfrb0)*`
zSkn6oXvqg?3e$M0B*gzrg+|eKHEzki<7WX-o>VF2IrUcIVVp^=FZDpAq=Tiwjdv~Z_Fmz
z_Vj;K6L*f_jxa5l9(2V>9EpMLf%pl}Ri*~e5mSnWrHfWwMg5P`@d$_l$$ZqF(V
z{Nz1cWttZ*u%e*!dr``Vs`7UvRzYg&#yIC27yS2EF3gPr-p%Z>a@EKnzma5Q3B$)V
zWx*b^hW(+IJ?qFB|ILQwT+BgG&J~#XpNVqmy`Mh8&HK}9QaSq_!g6kT1Fc2+a@%EQ
z>s6@B0Yl)@($I!{61Mm@AJibSb|GVF#OJjV1MC#`
zS)bVQ=1T5>>-3E2Z=1n3ju;naRB6T&ba#z%AD@nBA^TA*oPs{seYjAl?tqgI1{)Xk
z*1hL}kXOP)3AEqAE-mVlpKW_Ms9Vduhw3VC-2RUMH3i~YqFRXHkrj(Zdrd-3t==D`=N6kZZ
zv#QMuvt&bT8U>8;g*O{2!*Fn>VzeeC_!n+pw|=*FUJEf>TsUcf2p&fs9@}|pM{mbH
z1Y*zx<2^|+*cnIpM8fpV!y|{Mmo$1}#rZ6sPnvulSBa8L-Ej&@mr$m@rNLQ(l2r_b
zB=&Ade+1IzYiMuD@rEezp2pm|zT2t3lOIH7bx@|ZU4(O<>;>}+RZ@=kB{Ud&0Dlu|
zoD%G|lObH4gLWPL3k{b#T+~+iP&L2p`y*BwoD<=|MNj2W)pUgY20$rQvy3QRDGmG1XOYL%XiSKlO?zQ~SyN
zbTtMEfbpi#eidy!j1f!95}3~X-*yshC~!VnYP<jxoVra1T(P^Lp-ym}aTTXm#cq{}k>Rj!
zu&FX6ydog)hw$;GM}i_|wJuBkiF2rQ6Q7lA3T`$j;wlF+8Ol-)B(_Zn*oPofZdtg=
z4c^E(B=4kx1v^9k!a>3H^l+Tp)lOrh0Ycdp_%#Zo=)vS@-3Lb=fr4F#=P~86
zx4d*OmmekN5hOKuO^x?W{e^M1cV}RBpknP|Wdw#v3V%qa_d%-XjSzpgZK=~og=K7z
zH%r~NJwe89_3ab$RDH)%HcuUQ5@|{PB=Fwwx%nM>UTV49O@_JT
z8PZ)U4Atz7FHn`zOCwGF`Z!IaXSq|Zan;gvdj}={`$M_Lav)eEgrQoeex!GK>L=3S
zX3ymyOwCY9@q^MH1)w15Qip*RqyJ59l%#2;;JyMt42%s>E?>03Wou5@0nfgt=VQ{e
zc+3JXswFU@~yz`@;X#cdHx90Us7uhsCfoJvX^MTOiAyYE(Pv_
zhKNj#L=!gqfvZr~k;OCbm7k}}!MuJ_9vtfMU?e18)@tsBGRfm4%h6Uoxr85(RaGU2
zEBpzBUKeT&b)0?bxUZj+Nif>0|5{BXsaZ!+&Ql_}T
z4npv9h&_#=j?;bA>FE37iGFCnvPs$dJs{n+bawI*^k89V30SU8(AGeE
zcSL7u?0j>^KCF2~fsywlUS{@40wBWtc8A|NyVX~yw!D`a->h_uvFXU?UFi~aEwAu)
zcyZ?agv9
z>yTtpxT!UbhBpu;R9vf#J^Liu>TJZ?hIZLlB^vYhW;;ENk{oMOYLWwg)haKMw8=+f
z#PM!$xP{{ut!Oj8b4~9n$z
zDEi}qO4(RGLOavR+lD{u8z
zo23!&L!ou(aZ$czu&ImG1FVOXHS?m3tO&weH6$G*(eB^sA%#CYbVjV2f#OaxJ|y7(
z;srIvYdM(i?Kk+$XbTafz=i+vEP9Vlkzzo^wm@f>yJk5ziXY|E`7ZK5w?lYWlUI79
z#^&3##N*1nwNxpFx;FK$
zpZ^KE$t;-DvY$L_8(vDKKB>!FMSEqXtrNC0)=$T*zO7ItAkwnVESkz*wP!M%M0oCL
zcY@N6FOKN3_w9?6n?Fvt#i!BPFIRc;pkPfVB$jvNCE7^zp$?BCVD~M|X
zDb?7={5QS_R1T3FK_`Y6wZ8LVO@LKRhI7Neu&Hr-9~g-TjfI~;iSWHjEgQxMJb#CL
za@!X)Jx8rPFD?wO^x^_t`Ojq*gBab(ynsShz5J^)N9M=7E)UKC`V<(?oK;85#M{-D
z@PLAFcd>)m>CC9sCCR`$I$w(pw@i77vbE$H6ZNaRyk^~=QC;Iyfbz;<2Hp`+mwRzj
zSY9O82~=Wp;G-9?@&`35P$iJ(`%%!}s%O2e60qX11=YEoN=|%r$P*k}fHpS3ytaNl
zbHQ}-;zz?JGxnrLW1gnA7E?dD!Qgv>QSq&@1EzqnhB1y*VnycSkX``{;o9nkhohX6
z{{G=7Q`4)N0~rOwIMe9!T#dvI_taZRn?~L%_e1)xWH%biU>$na87fohz_j;4(bli$
zD%g#kEKHG@y&XcBfMU#2-$H<(~bP=-D
zura6%?E7AgbzA%Tvxei;f*;o0db$G5_s~|q@$!QA
z;Rbp`niD@zQ^nfT+64R)g12yORwzm^R&Ji>^HOkTx8Sn^Ps~?#@~?lJI=TG=e@rb@
ziEh;OjBencZj3NSH4oG+fJG{^mFWRX(o~TDfR%4Ny_S`F7F7hi)1mqZxoZy1TgX(F
zc(m@^LfeA?q3g-_i?5-(aNidqO%^mVCHHL&eUBrjEK6tia>086LF>Q^{LhLKKA8oA
zQ7?n%VSrFBx~H+u6dOFU#{95(?8MfwAcqN_BTB;pD0}hUZBVQLy9I+BUbO8}SqWP}
zDdviN;si;zf^~hP8=wJ$#YTyF-JN8B&DOXxfWBxb#6y7*nmNt3NJjJu+xykME=5TG
zuuRe?c=Bw#Q+MbPCZyRFrB>Vmv^v0YQ2Q^TzUBMvqd(|c0^?G!5Z%C4{kxYXwQhT7
zOeQw?lYRGei^tu-?G=_(5V4r&gSTD)&30%0>8=e+9?M}33&#)+>Y^sd9m!*J*zU>9
zmB3ijF5&8frG$#*J!?(K-@k{}%lPajx~8yZ@)XxEKhbs(T=bZ
zjqH*~Tc7ETOQ8b@@&Z7x{_k%2V8$oBrxin_@a(sfkqt+MfF`A;gsLCDgl0gpgq7?R
zF5tPQo5*i!au&Dji$9d~2HXbIo`D{_f%5JNvYF6m1EFq1wMm%w#O3%Zw00WswgePx
zl(@TmZ<}6^x*jIyd7|bXOgveV2XI|6Z87JJI8^miAlw|DY4IE`KjGO~Mf8Q>3%DsY
z)!I8*qBJwH`5#!)x9-6J)=cpgI#V`dkchd;)*>@vNCdD3$uPo@ushy7hhoMS{fH=_2
zU#)1|^{|UPWkw`oAY}U6^8nKTNb__KVqR@^6@pJW_f!dHJ;#a){
zka2^-&~Z&oNA?{q-Qx7^%No)Fizl{QGvA8}H;Tfd)(BI7O*H=LasNK`P
z^5RjorX$Kuuir>D)xJoqM*l_ckzDgXPXdxA@VX_nOw|{wCq@dc!Qs9Ttbg-zZ(~Sm{q%&1h$*Cl^rv!?(c{(XY)M
zM2>16XAZ|BdMKNMyL;)`wBE@9OsN>_dkGGoY(5A|yno?F{cgJK%`4#3`}fRX?&(8;
zNen|RW0g5In*q)wIrt8=JdK2@zgCiv7eQY}2DCh9-aLd~JhhVHj9Rq_p
zzlHXgEzgDVc51~XBYZA3+`jG2>P@3Ojg7r6O!E?BYcd1Jc&zp^esik%-|o_l|Hhmp
zfBW0SXAAsliWm`lxQ9gGr;~?fX}4k{x7xwT7d2d5HWBI$dygW>Z;$ANr2@){GMoBM
zvs80m^#V!-0@+s~Z3INLJQh!I?JV3+CuO_
zC!1}^d|PPI)!9}>-yMw=h(OphzL*2YqdmK|E)`{48DzkgLiw-bzR7i9LHbj3a$s
2m>9~kQg{M?8xfkl|_vIs(k3iQA5l)5x$Cit)gG;lS#aRCaPDuk-
zNd+vTqK`;H_K{z#=ENbk?VCkc3##d}7=+~S2{_BPc)Nm@r?miOq2M!5DlW6BRkHA(
zd%0C$)NE=Bb|86CQt@z5=)zMr=zlC9!GLhh6SXDe^tkG*_*@>#(m<}F_(RZsT5};q
zkzpY*q4T1@u~ePURA5Q?abOU?9&u_d(K$*6Bo@BR=+BDOey-0BEXeNL93Be!nZaWF
zps+oV7u-6#ocU|zeO+Gtvk48x?j7B6SAXb5n~~PC@yWw$HqH-}LEb6!;3Iw40S~NW
zarxa@u)dWunVs8}^j50`v%uML)NHy`Bxy{F>fCdTSS);2Q2%2-
z{&nFSJ^h{|lzaQ87@XW(uuDbSEJg^eegZ1qx>_B~^pUTZ7ut&r6;qf|y4ist(vp+s
zZ?9pF9<`cj*~__eBnBjUElYyPjAcg_8JG?KTr!)viu1Ac)@L}tlJx4f7})Z4fuy{=g^A^Bj}sZR
zFr=7Iz3t#wUy5ImdY*7TMM%F4E85V~D`4<VtHW*ZHCg09|KQAd=BSsz
z`K;7}ZAx+&3W=b2=hV}MIQo}cd_UtKIWL(eHGr<7#P-N
zTU;ERQ{y@Zx^gTR46#kvH&(1K$sPt2zyG{d=j{O$){IKTb?x?BZmQsZP
zyXc`9^tFiAne+3%esoHRNlycI!BaZc7U5ryI#NI`*9;19?yhw$(UYTvDuMnD5@Vnn
zspu1{27l4!zO%kCHQ8SgQ2F!}#0rh?tJBU(
zy4-!;DPdfSW?NBnuSglyf1
zd2+iG#Vx8(^v9mc6|eg+@u)?E33s1CidLc4>G({Nj5R;Y^Fdh_EPHUr?{$Pbzobzv)x^qEmtQ^Cp?BNmi7RGj
z#AJ(zqG>t@PuEfd`#Q72tbRWlv@TsGSGJ$_9G`2jZPAmgTe;gXA#-y*Hr6&#tKAN|
z-SoI}s^~B&Gdb{cV;fFxv$L3^rL?pCs~;G!)0u5~gP`6U#(t}Fi9wzn?^9CKFn*L^
z1}W3(vCMfz%tU=l0WtGg``e%yjPn*<*u%WMn-D5nda_E{@hyn?=smK^AW(GoIS?PW
zbN=IqxEVd`Zr7(J$He1_z~-!wjf|zW?eFwUHNK7UW(lBGV^n2B?1>HQ%%D+9QeUb<
zkOluKK7-5-A#Z7|(Ms62FQ^V7Y1S5-JQld2L~c8fTQ{Qf0%`crhtzWwDe&PMoVfp5
z{!KBlQ_YifzGPR*kLFhNj8?4w9^KljOixv4BBcMI@=YwDkYeK(ug1bCbw58
z@<}4OMH_@oK9gITxeleK&D(|3r^u)OI#+z$tR2qB$k}r`hg|~Ww7F1+at2%R<`FlGO7h>D
zvNr$5SX}B-5FNu3$toOR?P(UBUh1UWxp7B$P{s#AR5uye1BQ6)mKAtz5&FjK@#$Un
z`6!2(Gn+oj+wc|@s1WvBtRyb$THglVXT=&UlWrmLSnqKuyr?*N?{j_|m~ch&hcWTt
zNT`x5YmB%b!o;V2??WZ=wNE)zfOk(|MX7yAV$%(*>C{Nu_BMFIJ=^P{liqCwyBR&OjrX%RWQBkD`)_
z360s5sqV?0*6eCI8TKMQ24*;sOsXb
z$J?UsZ{@8C#=7)$mJq+r{o7FT2@VYDvu9vcsS23{%x0q!8omALOp?&6db)+#gIgVC
z_F3OC=U-OD4>PpjVg}m4dAK*Yy|?j?b+UGY%ZRHCcrXiFX~^ZKw{b0z-&sS?!g=zh
zdu>oT&w|rGnIQb`xGCg;r#GP&BaZ0GZd>1B@5bvG
zN{E%S`xR%m!C7+I1HHT5sA;#_{}g;2?IH|5k~FLsquMD9vj#wehSJ)#Ywx3`ee$j7
zwb6OiDGvuL1V|LGT&Cx=8A|No`@}4k%3*JfNu8$Za6aCg2zKO-j|=gd7>=qo69(F_
zQ#R5(!^c?hQ{BBq9k*#UrS*io%6VOSU@p!wScIMXy=yEy$;7n5WocSq5`s(9uBy`r
z_=jhMwE86}dwcm}*9zrKW6j8DrUOO)>`Djy9}(ujLb<+^p1GFpJK)6biNARv7ctv
z>@t!Y*=r&^H&fQW!HxD_G+4ZWRXaR>switLaMvi
z2_CDVyUJ)^mW#gOE}AR-utAoNYna~PK)Me$m(Yd43wqJuuWVG96coqOT4Nfl+dvnhqpaxf@)2kjyhUK}P&y(_86^Q14{>WL&vk?+G4gz^2V)BA;(v8>|tw
z!CeQhjHBv?w;D!;CI#)o;f6mc2Dp)bEj2c6Pi(yp4g}ZYD(98AP2-Q0I2(eRF3^0uXx)GS+c$<)ZPoyoAqU(t}Z3d?7vu;
zKgUz)+MVlYvA%Z{cKP`?B3d(sV5E_Xy*m5{?2ylsptdneqz^q;r@Ey?;{zKhwP34B
zE#F%8sx`-5>=QZ6QDY@hg<6yz+;vap7>3X^Q^YPlzfJDaug$SvN=qN3yf$BB5dXrNmy`8Ir~#eSFLB(y7VP4Y|F}UZs>-6U0igJ=@UFVP>o?u=J7)0}d_vqPlGVyw1LIuUi*5JP{Q^_9g-ADIg
z1<(X(kAOYG5k=~b%nfk9{YcBLgw}6ag#Rh;yMvnSzCWXgs3`b;6;Y9*H0el}7O-Kc
z(rZAZw;-L+g7_jT0uq{ZgaFceZz|HO^o~dkEdrqh67~k%-PxV_{r=vWWhTQP&wXw=
z=iF01=iK{DQY$R|F!dcs`N2rulg
z0vA5p6r}cSW}8FU6&T$HP>&)29OvrskgC}Yi)~!1LFsu<^v~7n|fvuIcU;nQV?}J=>&he$@%kp!9cVQR4|1mVZY{Z2vT;;3c
zgn5;xnT0S)mCI`c9Z`|DjNQ-D9Oivr-v(LnRw8up_ioOv=QHMI!xDNTads3b8pE%e
zaDZqA=L7utZ}S!S(=lxYPXruN^01i<7}?vz@7}X1hn0BHnxGUF7L71BxMI24+Xi-E
z=4PRWo|TwJwzda3t4ls>H$EP8M=z}OzGm&a2bA+yvir^xZ|E6OlW5gfE+!Qx3pW{G
z#HNmR>~4AA06fd;D?a^&qti=nv*aceiCijr^xU+{fJ=hXG?(|{0~nf8=PoujwA*fd
zwY9TuoDw8fa1BZI@7MakJFNS<2@aV4j$dhPcQzc)oF
zMTbPS__1m-n0(m}q9|$qjh=@_=L~fQ^xDH~Kd;j&IVKV;Ew2CqDF^#dK9eW;nz0>e
z^|!Qe=NKm*;t9db5s|ieD3w|gv$t&J1zHOPwF|und`F;_+3n}lnpyKil0^niTy_4a
zuGs5I*XPb*$qK>P>MCsGIypkTMFdg_!ByB#&FLP@tx0PZdyiv>bc^o`9b_np#~w^(
zd3KlNUOWv+Sqvu82~sx~mthW+dV;
z5az;Wb6Dsd8rm?p`wy%IHpWQpawRWB{pBiA0k{W408|(XWAMWb_>OHU(bHWt5uDGZ
zoshvioA=gvcFfle*7f^kEU0fsRr+QdZN$xo+i9BZ&Bwzdh}xB;}V
zoTXu)k>yLYPcep3{xU;Ju~+ku`dWm|kUFt^9_$R}YCuKs%byec;O+v6j3;J4mN+VrI9T?G`ho$butnGje7u
z)TTb$lNjtqwg0mFb5HU)U0@?EJfJGY8ZgJ~4TeH1b9cD0N_THmfyuzkaB=a~i)j1m
z30(A{1*~Rp&ucsf?Z-EoTN{_qm~0@vvKT}nLpiR>qZ8kwKycw<)AR~2UXcS#xC)GX
zCrj^r1H&2Tr$7~m!vMTEuYIY*)_6t}1Q)Dax@hhk%e7b!06&cq-3LVJ-y7%U#)%3o
zlVQXHD9^Ga
z|6rdHv~cAClgQ4ZW=3m`@3o<%7b*jT#6{O!ZjS8zlWz5CWh^6X{H%q8K(Hi;ARs$~
zoE|OWYzGQCA(lrn$epzP8|2GD`tI^|cvHWb-r~~#GoBG-jj;(5uEk
z$eEFsMwVb=^W0y03yK^x_iNKP#C4Omq&1w(j)K7}{B)&1=RZp}37}p~>5mJMqrFGm
ztkX*$nCb*;j`HCT=`0x&or96m6A6PKHOs&zSK(Ly1Ivwf?>E1v4ZMd^-IUGSEzJJ<
zJ(wv`>fIH?Q;?+$y*?2AL+E<=8x%8=%lezxYxts8#C6!-yIb-CXYuW$Id6yx!}e^#
z7c!h8=M~i@P}?|x`l(7EaTuqUSEpyBL3;Or5}2#-w`8^CXA`1CeY*chx(u;Uf<_Lw
zfZkacCpcnq_dH^Hbb~3R4RF~t#U8^x78?$WLlzvsk(aoNy$cy!sWZ7=UWtv?WO$dX`!wY!;b5KjPVUTHAKf)mJs{vbx6E?JKT13g*)Su=$(yzs7|cbo!>^
z&*ewk8w*vfgby+lj4^K4g7@Ec&y9vLtw(R0wF!)>4LAIFJyOapo?OSp`VG7ugt54?
zgf+OH(_X-cE6!1g``KQaE^iIh*C)0MYur&*0A4@jR&`rRjG9}?ID3e7=6JOrK5M>0
znc$t_4D`(Fh#k$Z7lL?Kb>j_DN%1jHB`pdT))w6D9_r{-69$#C`x41V;i(G9xdG!e
zpn9eUhHzn)hU~t@_K2DG4{reFsMyk4zJ@Wo_xxl!BMc|J!F=-;h2rw7a)x>c+8pGv
z>tA1$xw9(2&NZM1hO!Do*LU{kx2T!B&A~n|MBU(n)U~XYnynw{U4C=Kjdg|4?%LZD94@l64~*9~*u>YKu{nG)RR22KNrq
z_2|2&O7AGZ8poGsHD2u3es_c|-1qzA-sdr=B>;YJBBEOKKcqa3b$x8!yQh>?7@{uc
zJ=RuWju6*>=qj#i2USUSq|-TU-z(vHQRemM@JFMsP%MZ9S9#WQ9J(cT>i@|StbLSk
zm+m`7hw8>u)vO%Sq9%RX@?EU}jpRx%T$!)hFqmBF!@F0@MA`Q4(@hJEp^Kga`uX;0
zK)3<;AvhS6jLv=3_s(0?F=F*vdTEMtW9PDKC)maQoiMile48x`ghn35xmOcq*nLxh
z^S%<>4mdb<1$pYr^SyxS)yyR0htm6s
zpB6!#8PQ#QMzL++5#Al_i9GRPT87g^+wE%o_*5qHJr?kB47!*r6+a2
zy7(u@y~bmTAanl(QnzFZunN>qj7jO(5;rq`*>JIt8Q2SK1b|a909DgH3OMY`?95Zn
z7g&M>L&@umjqc$gq+?9V$E>->#GG4EmO_A;bt*S6$RXO|64=opcGVjn=3<^+i1+@4
zN5a4%L_A;EQ7fFjawTAi3}~hBEJf68@t}?E^SaWH#H%nq&Tm-3^6egxst5N>cU3P^
zA^xe>{#0=WZ3qi-}~f+l?FkFYq}CTwx=@g0p>AO=-$%TE|fO<%n5ginI^7(iN*Y+q0%#mAG<
zw{@UG*eq{0E48NpAHGK9d2VSXYSQeoYykf~zA3Q%e*ttUO8T-DgHaL)8J_lugOrgw}@
zTV1_wlB*0-f&p+rT4%XvY2EXgh3}KBHaVi+$^!3I_5Jy8F*-?dX{%SDMTN2ttgpb(
zrnnOC7~4$&kyE>dJk^SUikb|wzy9XEUPCO}mrNS?v0z8L46R=@9nL;>G*VVJ1rOzO
zb}dZe2xU+j+dQBsZq+WSor-ARF^X>nkX~`)wdwVd9#v*zg4%3Ql;8LH28a5USCco$
z@E*h!-r>k)%#MBMYgntsEw$MGfeJXcLGNoJT8?d;yFP^@Nt$(}(jBz;Ji)!cMHWGT
zU$-v8u*OL?NW6gW96cf9fe?6nhk*&Dx%)Q$$M;obfY_yQf*$bXyclz29bd&p&rnZ=
zeU1@yi$fUxxla7OdxKQ$geW51a<%3>3z-0=-|VIj>y+(w9X38Y4m0lW`{IC)|JvdJ
zho*V=tJLhtts7^HR#{)K#nTs5W#qd!gO^fxK7m|@b_8NP^V_!3=;8OU2Hcz;0H}H;
zv&dQ;QkzM(H#%wCLYGD|?-jx<#Ob3w9`J(UK6qMD$sJ_pPLh?!$DUauE29+@(qmhQl;3@
z+f~LyaM6Z;{@2MP5POfF0iGxXuDG$fIWI(4)`u_bT!`*U+`F0y@Z^^-??QkQN>SoU
z(j>vEm=KvAJp7YaJd0gN4_&f_u3d!qBR-H*8j$M9M|b{_HkR6OM9UT@=kx1VAwAVT
z+U|Ar8D_4xKavG4STD$dhD**IF}w|Z78T4tSf$``;+|`UTj1*Ga79Bw(1z={99Awy
z_~lx3jk$sItCTFDBiH+69h?|d^4ll|&Sn#fp_ssr
za&mo;F_g~yo$E?Ip;9wL2RengA~g|4_oSngyU>&|ili9|Pd1C<`yC4^wNY0Z!RpA2
z_D3}3d3L|=XK&ET7kDb^1EoFWkIE4M?pwLl9dP~(rm*{X07a~TTJUJ6?)gE
zByB}BEHK&7&t)T7_&O~JqytarQFfxY8`KY4nulW#<1Dt`ug^sZg40)z$dE5&aw>Kh
z`V%TX^irYU&eTB&Y4g#3Z}>P1lm(2vE9F&x(5m-gC0$ScUa>MXGICJ0h2AWqhcD3(
z@0@`KYIXF4ISR3^zM~S695csNtMc#0o8aY|0sDI2owR7-N-D80L>?N)B##?I
zBmB^1ISbX~6nxC_P;XL7fWSZ?>OApM`)lW`=oXdSUz?j65{(G9zSFfWoRfNDcOv#d
z-d==UuLDU@;Hm$d`tDOmeJuAUU}5HhK$LDYUSI)z;jPI#rRDWV7FuRV
zhdJi#SpO%uNH2S<80;E35}ceRSvG8CbBPoyR^@gBWPBo*_?0Sodswp$)1N!*Q%*s_A
z_0>T%*dh$BF7*F$?3u|GEN{H|3AWX7Er5=ZhEp7dldT7lj*JKx$g&Vun@Yd}XXDX3
z-LGKvy*W``JU#~N!{t8@eXI
z8KAKq1spf%HOF>67N{K6b`YUeP5&O)e}&p`ocAV>%aD`j-#4oQ)7Sm17`ieYb8ZMh
z(_R7B9&#+)&jn1A;H<+gAfJSt<^+kc9&)J<4dvg5ARINIZR~-0WtO=|Oq+mk#jTC6
z5zu7mGU+>TULj+G;6(Z92i_NDYzf!<0$e@LFBgmD}!U%qb
zYy3xtf#_ELA1zuw@g%q16trFxYU@E{8ousaXtuLEvTLJ-7Kxh8fDlLScw_hz
zCAJ8hghk3r9#y3cUCAD8Ydet#v^)r|?Cz%$VAdx~`sH7#!kxAE9tQmwS(e;=X`x<@
z>0qkZkfT2Goh!&a1|1XS<>l_GdLR4i*5Md4nx#|2j+2d5WSbT>^c=K#ebVM5N2Ii@
zU`vEY2Odj-YLAZhSuaKgTA-1HzEhAwfeUhAeR4ryyJl7XFglv)`$FN@iT}{HsM?BL
zt$6q7j3#c{=37fH{B^uGq+b&i>n4$()RUXvLLkR=
zB#_h@u_{ceglp8NtUVScBZ1*vvn)cgK%LuierXd01aEsnj<=!?SK)WC!jgZct16!E
z%t|)-ZIX9N`aLFa8SZgJ0>QLJ-k)y?`fP%;EMaS+UF90*+cy&u*p1Zv*EayF%k~~^
zbLj$PY2$cvLTtq5o9P-gv;M50;kS{=uYG)iFr3Od>l%-_hm+G;&OjveWXd5T>mz+(
zTwBiuTj-&ear%1Z#pltpF*6e+sB(7~7o?aNNzb-LZh#cMPwZNwM%%I{+7~^a|8%dyijklOmf@eYK;D^m
z<8|@GRk&zN+-MX>-u-`PLIsCunR9q}6O;5lG3q}B&SPJi4kXdJQ{e2}zZ=b0u5|Jj
z7>RGKN3W$R2z0Jjq^&cfpHyP0a)!DHgm2yIA5l2km4E^9WN%{eT3%Tgvr|tN88l;y
zkUi2G%nhVEiU7+^5sxKjf~*9WT}bcEnnxQco(Hm3c}Rn=2T30c7GAX4hwVujR%X
zY1B7cD0MZa>m$qNgRd;s#}_dJqc)HKbX+c^owa@urtzg^e0i7bC6Yzqc2)zWaf--Q
z|4z5^c=M1z7BKx^mp=*AJQjd?!TQwLD}LX%;H+%Phy?O
zc^;LW0~SkKUgG+X?HfdpV@}L(x$2+&WN=s8ch-%!w|d8WoEjZQi)Wn?Rwdvnv6((zMM-Zlfr1n-gPFI|zWt#X*mnf3~xw;<8$n+y3WEhc$
z=&cR1i%{O|eex*Ql#DixsqY?Sz;v|pYrZ^?oa6If`0=91j@IomSTSB&T!lHKK^r#|
zMsiHEWuQ4cvq!*$O;(nfuF8Zt?k@-z;D+{ScZWaC61WAVqMJ)0{tvYc4G((I>&vYr
zU|@6oOHRnyWnHy&^xBTL-ilD0w0QLygs%th-6)X<8V@H*_&;{0F_7cvk>PiZgr(*l
zn&HHbsb_=H)vvw8F2Z{X#?u#v*EFOpB^}J6bcrHz%s1jVSJYdYfIKOmYGo)!50##7
zeNp6&;s@!Ts!q3;sE6e;sUaN#L;>(^6b#En4rzVgnP%(eAtlS5r;mWK1|KArTxd1&
zJ)qv-8Fs6oI-K8zE7X>n?*7A2E_U(RmNl{aUKdcm*MtD?IO}ndh
z?b!lfYlBC=IXil8p($qwUVQkhne3LOF6u~IHDUArJaCD>js5bP`9T4UwB^Z53O+{P
z2p=H+uFLl*Szz4P)d`VClnaD5%@r&7q(L&M9Fvw#${pv2$zQ*kEB)`FBxR#g1A9M8
z5j~Nilb>8wnnoroB=*^-yJ0PM+DpaM>_@qn*D_9G?AW6RTT-EVB^GU|kA*dC-kyiN
z)eGZ>BqpJ7qWlK}Fe&bwA)1dn@Ki~JCl(yb{D=`e=R(K>cuaqI)rC#^LugwA7fc9R
z;5^B`+7H&@kFWsw@VSBAj`)mcG3~DPH^YLV*H_rRTa^Vc-(PC)AEq`qU%miwRROw6
z#Bb!gyy>%D_gT((ZGBM}`Hr1?W{95m4TFmou$HRBa&7GxqyBIt7%1|otS-89J1Y}F
ze8k&N$f2a<;Qe6%#+wF*!9q0;`tC8_{9&)1@`s?XsA}+!jRfTD?G<%EuA4C?UJy
z@3v2emUVrpW_WjhQhwxRe_Dm|sAr*z8o$1K!d1iHeP6Csz&DZO6-@5^%TmqjI1eX?
z95t}A1J)CNyj$WZho8!7_sPLf;iDADni9tXPrK&s@+7I&)4ilxb$!v5*NmjwU_gKV
zZw}6|rXRhl7hHT*H&Qx3gaV36_B^a0PA@TFVbHiq+-Gtf4_9>u+Kw|=v{Zti_&kO
zI5N~YB1+eEq!;if>w3~Ms8M_+9lPe>as?~nqen**dYf0N8#^Wfl-Oy762HMMAKh|A$~RjlSC)k%ldLX#6W~?(We}?0%1YT;QQ`7P3@);`+SpyzdgN
zc5$+v6IpS;q(71{PllZrNYm3^x>+}?{&_O
zNCB>)&!0PW(wB*~s}n2&u@{t7;yi!d!^bHf!87+J)jFl@41*S^{FzRicK_0wF7v|r
zM5?vx|9CKCGr~8YV>%V8Mf%KJU{jeP3iK`L?f#f4Nw*j_mE?NCa<{qgVI>kDY=c7W
zd5wx+f#GsFxjf5#3Eai$3O#lRA+C2Svc#oHue7*D`zS&p51zVoL>ywzBg2T2;ZOhd
zhN_e4aKUW2ef7Khdj$vNcOz8cC(_?{4j8YDV^uNvtp&}a$8
zpdR-9$HgSFvxFVQ1Li;eIhE3J;?t(YyTrQ^H~V?t!rAu&(VLQjt(M{@*M*6QmFPyM
z*{4W|%%$T<0wU8qP(XBg#?86w98=GY^rH$Iok4^d{0cjh^`?njB5Y>JNDUC^>_Mtc
z-g3K*iIVa^iZ}f8kIR`sS{pzzOtiLZJ}wOg8L1C%c5Ww75z>sxoS~A1zpP`J`LNb7
zg;lJT0naWKUnvzQUcV^2j2H|_DLL_|d(%{s>VBJxAJMn<#E3`>myA7uHHhv%q;Q$`
zvR8lc#Mg3x(tqf$Xem`5dna^zoD)8A6C8?3iLc&yv}#)}1VEWx_vxJ3DjHup$78XRsa2Phz32Bc`dkZDZ^y~1{oR$5h}QK@
zFPPCe<=-40PUXj`1UpJqAaH&W2wn!$wqN~12Olu!(NzB^ARiY;@ta`RdBQy1I;hDo
z%VTLEtS9t`JhBHRZK2AR^9l5oYFo{^?KEnQB2vobeKJ0MUCD1bBcecty_)CJ7AQSG
z*-vse={VYFizFEYhR;-mMP$kKQS}RID`r^n4O|gI-H9#c{|9HD
z+WOy1p1&yh>7L5J!W5x*-+6IF4E?)4|4Pd=Dc2Jp&Bc(GL?O2;cN{cBB=wJztwGFX
zT7t$I8_tQh`-^_|m>+#aRz1+hJkTzDaBfNF?{w(3d>V_>=885hIMjBwC`qblAR=8V
z@x`4TubvI~~8lZVQ%D{PF6YrH$+u`x>7
ztvdEi22-FpAwJ-YU~ry&RDnphKlvq$Ju+C7%OW>_@0P$K?VLd^f%Uve6!9;eM_t=_z%
zJDYzerdjd*WAWF-Mj4}jp3<34=<*&RHr^~XpM81vFNp-)7Pi&!J(q5FM;eBorfV0~
z*<>j`uWUEJgXu`7c_0(9nzqROpT}k4A+*2zPX>X23o6-}?&p^C1Aw&j4z1SRiZBI(
z%V;z@$z#_F96BBAOrEMvKMKylT_3+Za|>c{T<8qk9-~4ZR9pcBRl?Ow27l#QvW;F9VfrvGqPpdzAc#(7rI2%LwNq(?2|}WGMKgO
zX(#q*?Ac4l`XIY>w5ss1UW{xuKJP!aJ8#-Z%bSZ9
zUQ>KNvYj-f=JV!DU4KUs$`DjfVpyet+P(^jS`~q1!rUL+6pNV(4n#NH8Qwxeao3~^
zw3Z93c6|@a0OFeAfk@fu7TmMjRHF{HMC)avBR-#tXRkBw>p+mu8sC(P
zc)gKWkDmPKPT|N?Z!i8OW`*EFyH)X7nhCesNJ;Ht&4-#UPD_Osn@70%JDlrycVi|3
zVgh=Nr^@Saaf2Qo99o~#{7U(s;~D};#M6FQzr{dWV$dkF5`RyWbR%izE-Yr~(~5<@
znQ1G)I^Jx=+|Oo$pZYssnC7Ru%$Ey(!qADg&dz`d7h@vW8K=%WWe?)H^)H_lKq?Dl
z-aJfykE25@xCxnG`1_u~j2LpKct&G&uKD}NMEiA4B}ro}G_GD0*NT5{WT#?qMbYl`
zaGd!U(W^n1MNjslzp;bY3)3B`?T4}n7uU=+J&VmbJ6r=MLc4ll=6R#+HX#^M@AnUF
zd1>f&^ozpNR-6j|^049^?RsFPv7=em*HKw(Izm8}QMH-d4KY
zB!Z!66+`*ZB4TXlV~vfs?|S?=gL4H=)zZVg+|t)MV9sB5gK&!Y`w|7=#|qVMu=vH*
zWNm0As@C*rLoVTVkd^41`Hg~4Zt|8pYo8wmk;++nn$u`rTT{vlc1}X4j`JTNNABS{
z{YiGHB3ahG^8hz2`tMk2opF5mkX>WBm&4dlO4s;G*?!{LK~eMaq2e0;54ilCFvkg<
zY0G54s(Y7~>4(4iIg$VUBI(~8aFr=^oJF}5OWJv3raC66Jn;G_yn$f!RdrI#-pnn3
zx{aHbY=wJSd1yG+_k+96MXm)-`BZEWLL9cUvv3K45>j@WWBTzLATSj>z;~S&Da?`(
zDRk^d9W;r4$&wQ(G%-SsUVT>$J`uO_+ZZ_?l|UjMXnrAk)BeT_YZVkV4V&Aq?8Jvd
zCgAi;!yh-p*CqMsmL-6jmQPb~w(Y90_pmZUXX)*a4sR*TZ@&#>aONHP7{g#M;b*=6
zrlaS^4#H}2l^>*uR$4+C$9u!AxQ?A&Nbe6n*la$$t+;kPnAxEaFt{yaQN{K=ZfDn&EC9L
zeaU55Q20`e-KWw;wHOomf$#jV!S!r0%`#Er0&%39Vm3`cVYNMCL+AY?hZC0tA}1h1
zvO~46&^ungW{EU=Wv%Aa8l-e{p-(X4jjMb2>u0Q42Klza1@2h}8fD&vvVu9?LOI6L
zySaRIWl#SqI!I~uvDUf}7TT2O#QyWh5w~u(QoAhWkLqz*tIaJHS<|DI5HDSUULJXW
z`ktw^i2nc`N$z2=cpSYJ_bV}n$;%IBlO4`}cCdb3_x2v$*>tz1XF_LZX+LIM5<1JK
zYIFYeh4P^zYC{MFUPr0Yw@siAS5H;aayWiu=P8Mj(j<`7~JnEl-WT%8?+NYHus9j^=UkvwxruS8_2BSFi8YCzohIRL7^jy_$v5s5MxYVI53x
z@QU>%7bzQpqRkMeW=z5$Mu6QHHpDq!1(Tug34uD($j;W99s4K}IqRg>j^>CDstuNI
zlfPoToOyM3*nG>P>NPUmuMRH!Aii5Bu=ObQNk-_|79G2kg={;Q5Q(k$kod)$B@W|B
zL#(=RuO@Q?UzHsEplWP2y?R7_MAFNhL$*4XE_Dvwh10$JFNx&)LcgY7zje!gM`mL=
zd4&(VQksE#tkprdBK3|#({XAy)3Bjpz=^z^|EK>JV~Ph(6^fMO*Yu^-n@x-rt?Xb(
zZ4Hxzxjr^p_I*Xp`Oumt6{ve$W%2uBCZhP@*iOfoxi@Spw$5K*`vZGFu7E3VK36bH
z#V?-bRSOQ!1U*&d_J5F>Xln6w@pN76pyzRa&i-Y7eod;tHmcjsc5`gNUe(zGZN|QD
z$+slSC9Jj6Je>TbSfCvxfN+(i!6eaKG?1ZVp4PddAhM)n^Ve=megbDC%ya8
zfH0nX*nyc6YVl9b=&!ZkYu!1L?Rxf#&i3Bsfa^~oH5%`+&oe(01!U$~UeVbpP4^bK
z#`&1OGEI!Ucrk4C5I^y7K;!FZ(RHLEUst$D8mh)?>p*2^IF0#Pr0m
zi3m3K{cVagsol<7E^E|?8dtZ>MQb!BGCoMb-RE$Q6vD8Z>osI%b`)j)kZ=Fjx9~)q
z(V_6E=$xijP0l0R!IGUlb`xSxJhN1dI)!o-zsWMP*mq6}mJi$92lICPbpHt-C2u-n
z^OzlAA~%^Pw?nJywbfW`jyeYGQ)l4W6QjV+6-CqA!a$k_}%
zfR@^^eC}L+&&=YtNoIT=Cx^F*vrg(6onqwH)vsvV_B~g-p(gvXtA%sdS~YnEWB>;j
z3pBPm%GfLj)I)9M7HW1PW(CS<*G-&Dm($W8l`uRIBqe7j8(S2*rrY4_*Z0CENpUv6
zN0!yV6EXIxJ8j_ug!w-1hg3AUy$VFK=egdxZy5s<(u4WTiK98ur=zD1k+vLV1A#rK
zFPALiYKZi8D+&N#v~NnodOcz7@~3>T)zkmDdI=74Y{AtPc6
z9-)z+l~`NWPUOx-Rp04KX#Cd*bVd{w(?Cl^W<~%)w!jFtI2dm!&s$B(LrJQm3BlW2Xi2
z8>F3H@^8-C+ddVxSkGn{aX4j>6I%ZVTHmnpF1F=My1xt7byF)f+5oW%dGW@8-^+gY
z8Tt~e+1nOZ&|RKbfDhfpsLDLbS5;N*6gPt{X2qc+mzx8>-dW;TV{g-aQo*dUSssgG
z_G6h=+gvOd5yUqcxOkxJnZxqDtf~y6X-+QV=cqWxt|YbvUo%tnXS0z^+*K79(BDoI6_Bk`Wk#r%=EL;#l9rBVIW&b5*w`()*8<}6r?ytvV%T8V$eE^h
z*Y#{vIn~^9MD>$hQYZUME$dF*`HHP{?Mj16{#+keuu@wG3VZSO{-#z1AQTO?9FGyo
zdzU$5juy?9UT?bhjqzw=ttfp+DgqN-%YGwa8}Ua?<_N%bz7JhZ-zDFg;~W
zx#EcP^U#=%U`t;JX=JUDMRB*pbjMBhcLg7e4^K#xp!zcmy_MRi(3lKT7m1ZZEy=0(
z>wD)6WOnerN#uYb8pDPX8}9!BQHAp*zH7Up)_C9j@I7a}l*_*c7xWCM7qbGtr1SHx
z_trgdFh;dVDRMC@qYc{QX+l@`I&Hf8nFwjf^(#LcN>9|HAsjfK6^^jZ&2Bu|ZP
z+YJ^fnmD+!%Y0+6Ej1AW&W=1uS_a>6w^v+b%}es}9rRs66$==0q78txgp2DZ-MpLb
za~Hx5~qb$u4tBYrA43ajt1J@Hfz4=bnk^yvgYXVvR|ERc^fM5vUL}joc!cEyTZ}h
znMJ6Ut)EM%8M9s7&;l{YQF?yR{Q0~=uJqtE)AEAumxp;%Uc}+`@$J`vL8q0mLJh8p
zZR0?G4{NG|fI28KyLW6Bu=>jo2?1VwWdo9=c2kW@gr8>G7%1f;vWS-L~|9@O{uFWfu#
zJHzbEa`x<#pC``-%gailBH<$e0D$`Lt(YPJz&
zE!yY>zC5#et6>iSM1fC#P~n>=MgTwxyb}{qc23@3ba5t_tQR^y;)`sG5JvnW{IP!)
ziIEn2SAX_{H0gd0V|2Fvj4Vv{j-#n5b97DZ@I`ZLYz{$lPBYx|*csV$v|40r8uNk3
zPCJ_nA7LMh*pxC@#P6LanF&`{fs|TylrDzhl>OJ9snl}pS@uIs_MavCPZI0_^8d#V
zz6Rwy6o!#n@#>lE(eCn;+r3X>sS$H(Py{}%!mj($4I>~003p>6m%H_|p+P1awDgS~
z>#n8S+6vdK={SfwY$ZKs(AS>!>ARc&4Rdi49bM^_K(6BAg6>6kXU-X$e^5{m;8X*X
zKJmNhf&g&;B{A0QeTQ78i^-A7dRoM>S2NL+bokpYI`=5z(rcC&YK%B;@NxoKzZUuk
z+8L{@(7P(p%G_XYYS&Siov3_tn+&N|s!l*!x$zY_AS`aWnEN@7A4;DUqtZ4DAialH<4`c
z8~B23e8>6dm)db9c5o9aB=6xd1>Gm(I2VN=905c@B@@o&*dV|OT6YA}IkZme4igbL
z>Mo@&$p;5Xr1h=+I*D~`g(YR4FUP>d9NqqfmhKn4ofC_vS9Dy$UCL9o-D?rJ{=H=g
z8RtQq4f$7aUw9YMUHP!qGR9|!SEIw8Z+Ha}Hl{*J*|)0cQxAG1hoAu
zP6&&Ws1ZAO_M7=+FrEcohjrAOW0BS7nKwQFr|_(Bq5V+0Pg*T`e5}UA1HR)GdEYzx
zvR}<4L~7y(u4OsRH@}MDK*@<^;q!UhCC}S*UGJrD|B%^+DkEx>$&Fp8C8ufkg63w8
z{ONuDI=$QeAy%`WWW{hBGk6XQxUl}!4G2n@5U01s#Vnp!4!emXE89|gXWFcZiiJ7|
zS}*QA2oIhmgd_#g;2tDQ3HB02Ka3U@T+R04KER*}HGV=ohNfhNLAB^!~u39(B767@R1nR$(8=@e$Q-NkP!C|NKu+Zp{wlYV4UYi0b=
zU$<5p8eIj_NYYIWc8g(tzx3V@Xl`lcA@3DRnjaMG8}5O5R`Ph}i#GR0mbaUHDPI-3
z)U=(TJL}%VeL}V&^cIC`D=W&UFomn!pBV0$Xs|c^WMtdnADb~s;Umk;oS%eq=>9%<
zc;1FzjQLBSsrL==4d%EU+7mIAjk2!6<#z30NUT&*S5u8__Xa859_l>;25h$Yq$_1B
z*Ua(4yxJlDp#rO$Y+F(OMR&cgI^N;70Gc<{_ACD)%(p2*@)x@{eNW#47ts$}hmpZM
zkFFnu^zftk@OHeMZo#Bb6v$&JN&E1!4iTCJ8wYq5kmiaI!Wq<(-NswnKUrZlkK?0k
zH9z>-169Vjq_w9!;O5$H*VZYNqw!R*wBQr89lZB*Km<`2E9MhJIWfH@y|XdLi};~V
zUe-;CBoOX0#hf3V!%kfG^k8ii4d*vme-zEvlntsbjomPdoCq6g`QU0nPo{;++OKss
zh=w3-*s0thwkh*%7OWgyFE(>Hwq~on;0mk#c34X>pIMht-+VLOl3)1hCyF5ATbCwx
z)sch6va?giv|3LX?_pAQU(1y~z2)$v)d9nN&GdAW&7hf0KaYtBz6lN~
zd<^`uyZCUKSQu%D7r9!M3%hxb+9n=h35O5TqF0mD+VojGC$Aj3joO0Ji?cNMik0so
zv20MriY7ps1jfd_;*PwoI-BvaA>*#D|C}eqbwS6#?Fv$iy|N|};`|zKzp2RqGA2u4
zd+|&scdG;FgMa7x$>t5DR!b}HQZ;&_HouKvsdb7ZPmnRjAgqQLR#A`|@TOxjH7$Mk
z+F>+bQkv1Xaly4P9OrZUX~<%Lpt1JWSVfy}rX0#0Wikh({1%H^;lzcYA)L8S~aSd4m?f6(GgQWK%+M?aYn}LqUnjdRW3*2E6w8>s~E`xHqjs+;&S|-)r&hjW7
z(&8~#whp9???^5SkktttIS>%x0>>`3joT!bx@q70)&j8f6SY{JA?Sen;Jxmsy^)cV
z^M0&X`lwpq+35DE%ihu3lVpp&w;re}uS#22-CNFisyABR8C-sD{ZM&^0HFEzc(gRElas>iO*`x3FtQ_Pn;ZGMI
zgkwf6VbKHE`uNp$y>MjWzD>!Y(XtP~SY5d?J9m;sg%dB*JuKV(Y3KpZN)=29b0qG14{ML)ZVG;r!5@F*vHeTE`X}60%=T!nuHP~);G4eQ|
zmktr2I=`_hrzk~hKzKSZC|UATJ%G!eBn#VfLU5uvKgmA1|ppl+V!
zSZJ<)5P8-Doz8A{rR6=qRdh!|esm>L8w-7!h8Vi=452Wt!3js;yIm25ELt@!2nH2Y
z-L1)l?g0+SGu}-Y+7Ro)2c!3iV>fAeIpH-`YPD#B(_f_OYgf&o7nbz07nTU~ZX_zS
zSIKUUNaXR4Gk1p4<{KQ^B^`%yE9%NeSR1lDgLbU%eDE8+@=>KN)!kq1exk8OjTx`?
z_U~UnT=~*d^QL9)d7fs(YY)?o82M&;vuXRDsNriaHIHN(IdR(*IaH0W4+{FFw=h~^
z2xjXH25EJJP|p3uhZ@0Kro8vtjnwBGE}Wz{lIgpfz1Al^H#`DrbwZCnf9N1z{u-|R
zSYd>hgn4s<3Oq>-)p7B<>0%g~TcD!2?KHM6HYa%PEM~$3j{GFHss`lQq^Kh#^5!Ui
zMNOemPUBtcTEs#2rYcq4cL
z;=saR9N>oDCbjL0j-e)N03GK2-igo7o#o^s^SMFikXTkGqt7lM>F?zpVt>#3&R~Z?
z6tYf_NNW3iPaXtsTR7`(_YCETDzEl|kM|oGF0_tHSW7osNuxG2%8wY;=JQMC*JqLU
zZGiVy7=CNWK=_!E*o&b6q=HV66@VjWiBnah5VbuNG19}d0mZ+|f
zwaDzvkUPV+)Y94OubwtPTlAo2*wh7CIF)Yg8VUl)6p-=?Yyx*mBg^Dn0nYLDouQvtRI=w$fEr_2|pJ
zS8dctYyGZ)0&J$E2dBc^F=D{5WLI79;VGoJSlUhH_;Ek`fa_-02BZq>2!{H9rFc`7kya
z^FlCtW?M;ndF+V5*s+Zfp+`|A^;W35rOxvf=h2QGqn+SB9BcVBs%RCTym@}rf)iAwhVVWFA!TUse?hJH8;{`hRmzuw)9{&cD
zD)&YiA?4VPvQPPb1K)oG2EUo&0bQp*s2D-K??71QYTo8bE`h9o4XB#ynTx(b~u`t}J6(|FE_xb#f-&75`$f(vT)mv6sa4elHDv#A#1$e&c?<
z4CdrjJ8^hg=Po=He{kD
z_v^>^bUQeaHas^GG~*Xh_7jPC&28zgw0~-bk(8}}NUIfOz4@r0YkclFam2>PnX*E|
zM;5Z;z_;`9ltwq4*gid_B+I7lj#Go5I{Ol4+#B|wN=KpdThMEjWvNZ>J-!$FS1x;u
zGlzM^9uA14TgfO2^I3ZEam_dQ1?M_m2vQek;$ng?$9*hKcMHi2THqrW=kgOlw+G_YuTyRGTVXaY9UFew(p(u=3&dvbM&Pk=y3CXML?_
zvA#(Z0kR_Dn<%Q;g0uw+YRT4Yx(XJNhU7$C1JVmT+bz=G1AF|J5_&}V81Edi(>=0E
zTlRyz?ulq7hjFQO3w^rTmF+EBy8Qm=nh0eEO3b5^s-p>
z8*6$%WUT%&=AS@%%Uh)s8otDu#MD2f{a~L%S@q#<9rTb%+fDhW*3Co?n`O+BMO(FG
zEcK+!+R${_cS`CA#BOa(oHeI!Er<(O+UC_OTx3ltZj8@=P$4W3M=BfH8j!8Yd`sQ7
z$tp+lQOn{&!5dGeyKPpB&YGWLJ!!SKKMRdkc_
zo$p}le9(j&Ti9ovER?2*gb&-!W8ZOYv!v@g*T)(-`!T#ZVS7b&3Es8jyzW@9v!5_q
zFM3aTa{Qs_jemaZ7*SH}wSFl;%lOETzc<2K#^b7`GGt${Pgq>avs3p#_<``X$kk3h
zPCB%{)p@EZ-(n*cC2@pZ)qgHY4tV2lb;eu9&1tfr099&AcfQHQ5(7w-L-?o{QC5{w
zyMl~uT`YVmUJ*1NB3ivkK*P;d4;LhhMaf={P?2SGNwG25LrG0WY@#y{i66uIb|p4UJaRT~?0@=Dym0tH
zm!i_Lrox6{-(SjKgO5DMR_~m+Ve*v8lM{f}1OU>bSj`8D3!5g{m3&Jew2}JFu&F#L?Li
zo8{5cGp&0_KHlCkZ^$^!&C`)oes9V>?g$m&vgj?)PxOqz&#vZ4uA}LH2v$%VD03>e
z2~Kfu8H@SKqTk~8-qccO?rVIj;z#4ms*aei7g4m-GWDO5jXn$I`fk^=4y5Zp=)0V`
zxq88!GdDASZ1Gvjn&0B#qE90hX?dd!K62(w{XU#
zP5bn^wwa6EeSL?=zoqbpijSvei4{h0bNPNRfR$p3jd*6%j|H}&{g_Xf9Kq$#%d=Ic
zB66Ahvx2#wkHK^ozKRM=vu6d5`j&y}XF{TMO%Ay98(z-^(gyO1IxN+iDB4gJ8u?>C
zG_e^R?F7-d>ZHjYqArFux-8*7Z
zO^pS0lb6li^hJ+ikM7Lq(DC1(Qh)?f@ZTq1%G}$M3R4H6)S7Djz^F5(4YPZ0
z$sCKZ6#wgMgIDn{eu!Lry&WybYny?3)~IZIcoUWg*^gaVP<4m{`&}r)g&mDyz8~%?
zf6kZ9DK-~(9R417~;=T}_fWfPs7bI#Ikk>{@uc98V
zECxxnv>y3wzcNEu~@FF>2L=^TTxUON%)Su)*S`zbchZhqd}c
zT=s8K=}#m)(Y@Sq?U?3tg9FH-9@){J*9y3#F5fhv0=pl`s?wDvnn{?y4bL~PfKA=B
zzRyj-2*E<_*a6cG>J9Z`ksU$~-O51#`o)XPfU?4s$k>`)pRnl51Y
zhO~wKps?H7i|eid!1uP1>UZceU)u@%z@$Bg`f%RJmw5U
zVGQ0TT75m0@dgd;U-ST)!gh*PtqY`Wnk5mM+0kLoMc6V@s%MucXY#2E>H|xkuRWST
zMg#^@8va<*vRwzHSTenIiSmwJm!I7FYO=8r-HT$ABTeE15p=bx%}*j+u)L(|=!xw8#cWJ>aZ}kN=lX`A<$?%VklSd?BaL&R{bKv5DH$mya5QUm
zIv;Ap=5skQn(U0zGw7X!JYIXdg1@1l3GQ3wgl7A*6nnUjXQd9O^DAG5W`kp|hrUdu
zNb@mvaN`I!$s)jHwDtr%o6Y
zbb%n4->Zz!sLGuq?5@GcG
z#tX@fgAzjBTM`e4nYo6lX_CB>7wQn8tT{1Vpk7IDr}ZJgx?`w+z8i9oTH-5&l8O(M
z$@z#s2v2sc^6X0ZESM^Rl^r{G7?6p#%3Qo0FW|5_*q&Z34-0|fe%VF_EI}VXS0*mk
zZuXih^EjDDG~@uw(SQSFJv#cvb($+Te@GBMF8${h-s?6i2k$ySdsz2o0&W3|z!g;W
z3b@yL7;zWFTL*fU_I5m57etduP{~_K4QAvFd*pd4P_D@8RnW>&vo9~-*~`#qd#TzB
zqOXp?&CBKJ7(ta3=8&(z05I~bhd$GJ2D{!`RDX4bWqScL&tIWS)}SS0v7tZJHgdNz>KV%f`9;+WDpLwY@rU4%_aGXRCgZH24bW
zVUMz9#KWZH370~bik3+*xD=InoQ})H6TlWk;U@ao<@`m#4nj;3G4@mcE$ki7R_nkO
zUN5Z+=1RQhqauFOBu~+aU2_8oPeDBW*wcG#S{0n~*42k~^dtW)sf7hEt
z8z6v9_djQprW=j)Dc*x8Qz48<_`eVQ-*}CVH{=5{NBbbfUMOwaa1RU5^Bzu*rIcuy
zE$ig5^zyn;m
z3QoA=#Wohfa{g@GraTdsx!Juf6BaX!_s-8}%oc^70`n|HZw0)a#f)aA6NcwU5W9>J
z_{k_9@ntWn74e|kV1U>L2~+B7drOLh2+x!ayT%{d-xKy2^mIP{Jk37Cdy=c{O58r-
z=ci6Q(wQy2@1isS*tJ=2umVQpzcoL!#DiVdB;T!;Buyu#gMrUQJ8KGY>aPVNx@W_v
zQ|LnW+(Wp9BJDfd&ox8YDe4dHn{}|Bbh(KSR!H%uz4T!?aTb70-XH^0&_iIq&IXi?
zD86VGyMky7whP1eaaZbn^QW9BX)r!0;Ojx+lUdMI&Ok+rx`Qd@7t==O%&Wrw^o8rH4%w}Ly2W#nn9oJeq|^njjUFM^WyMT-Gsi&*
zwP&*6H@UZ|x78JbnIKL|sl^zPII-L)m052NMhdDvp*JTEe{t+WWk$1^XoYj%4-Voj
z&PG|B9)6X4;9MOD1WW>V?bjl2whmN=flQdQ07;Q*t=OHA{YnP=s9`N@iCnC9=EV5|
zFT$(e9p8k+Hlrg|atQ)1P-(WHdX!dPiW(Wcb6bKbEN>&M3Zish3Rs8oply1YsI7di
zm{!|D&6~pYU61=%{fXEv){-yk5a?4=KmgE8Kb=mewl>c+d>v14G_YukjUTbdEHJ)q)&wiwiMRxNnzGQx19iUP#T*|`z@10w~nvo
z%s7XwxsMd?lReOf7H(lc15&vBmiJDCwmc-VAqM}Z0u_tX!AU4T!V
zTcNY#ivlJ#&_eunB~Ka0Xk&+v#WFENBXn&QYyo=wnMvJ=5XDjRdDiJv(pc#X{Z!O7#Eo9!v_-Hr^(a3F)&TlJBHkY14bp7
zlT<>fq_>87r7E9MUgwA{-n>+}V-&fR#Y~x8P(9PEFyKCEm|s<%@A>7xx?nKJ6785`
zmh^d-AHGJ^b}ym8!}4C>Wek@jcBmXp?0Nc2jU9DES2
zyDOTu>#LR3sq6iGdTE*QIW(ZGXxQeZGib#4`QI!MgdHdFJyL|cIhHE|K2I
z!q2jhg3Ksd#scW!ZZIO<-@yY=Of}z9bG_#>YMK4z+^U|*ck|Mwgm{5D+GMb&^Ov)<
zJCWg4bZChtlDDSoXG3+!y(+p%^jSz$j-zp9|hib!Q3%kPfMiarDY6s(Qe~`{mksL`<7RbaGMR*v2cp
z51hDkk>sU9f3a%!+0|LyAfYRxp@~=iJModoz+}J{d6{nhlS)-JdLZZ)PS+<;+4k9c
zT3U8r{|p0_m;SeB-T1MqFvo-#H_wmGI0wEC?JYZY@jVDv1FV%^r2{D4b63_Y+a$Sb
z;Dl9(s14GQ6br2vKA~pw=2L2e&GU3dV2EgFW1aw7ZxNdZ7j6p5o92Q4n4cnx(p?Fk
z4!Aed3(dQe)Rj9@cxZc}_91-+rl0%8_tr}RbW`q&y2f9xzJ4gZm~Hu(laRa)w8;;VrLBD2$~iWl!jMgB|`nLWnUa5Z8a3x^%cmW
z@r%8hH{%={&cC9eF0Cw@;(7AH7dB|=gx^1@cc06&0H!k2w#w(@jFyx0Z?wJ|q*kI#
z%XQFS?jLgcj>8W%K2LSNArU^{2Q%_4U`S>35&F1$`!m=f-xhg{a}pydG{wDyHi0sO
z{BB}PMW}jCr-yLd*`|)#QO3}}@5Vn<&x6y7=sBhKLrVOy3FGVNT!=34m>m9V7Rq|q
zUbeX9)oL5ZY!iK~gTY3atdD0)eRIQ6>9LHrKU&kXZ7Q$>#|Kx3FRWX}){5Wu_=?Z5
zg7bq~LFptQU{fDvx#TFmEY>a~j4^*a43^ZgY;GM`hy*uqKsfrq{u7QxJ>gieQg>Cq
zYGar|8E3+evu)+^8$&R2JqqMBC%1$^fg2;OBIj3#p`-~pnV)W9IOHT*IiX(EtmkMb
z?F~C5{Kf^;e>l9ra3zfBtw{_$v)>iy>)m7McaQ~bH`Tmv6bw|sl4
z)|^>Qms?5EJ{o#DN5*GYozr(t=8QgfPR{FfSkzNQk*@63u?0);0EU3j#a(%FNb6HP
z0c6pw1;3jpjvR0M7X}j4>SWXzS~;K9ZwbrzYP}X~Y`ADdd=w`MV3JX_s^E;EEpYV{
zDmbH_`_t~P5R68nMs*jAI^g89?3mp%+#s$@v$tfeKEvoiy-%SiN8z}YD5fbZ$tiBN
zr<_BcFIWPOZMnw>wjr#K#02yQ5XgvIbkwv)&0g|TpeEpkra`Ei*sl5MMX9zeM<=x_
zXJJ*^GSO>*N0)|hd|xMb$ixr7I`l^2+HY9vQLEFDSb|uZ`&Ua$;4kd@FxWC{{fJx=
zkE<_M;kVM{c2M3}03l2pP7LK~oypd~ucl+Yi@;wQzt6s9zVi^J5j%S4_!cY$%>}JR
zai0&ztj2HGDQ{dFnsT)$RSrWeoe@Wvg>65Y2!5TbqY%|@E2G9IVZzz-RuEtj)BBRC
z_~w9G6@Si>e8-I7WwUIB^ZQ0c(^`VN{o#4A?0Y7ThuzHQa(&j
zr1)nY#NKBIoTfMIRj9e8SbP<>1Ija&QDLp!usYA;IF}uI$fn{2GE8R~SeB$634I&`
ztvsXRM{5%-3Qw|c?~+}^?M`|79aElCHzOEpsD7y7W}+aXL}pXx#mIr5WK29O-52sP
zZUiqxBI+uQ5ye*CJmUU_dE}Y+u;m*uS0EWVx9}=~99rw_I9>qXiG1ljYbT){5$~)O
z!usd=x7`k`@fL(^Dvoo8yh9z1d{xh#vZ-E!xZMpm{Ob&
zB5gAQ^z+{LY_G~R5$xDiOmN$a-v0a)s48DfhB(|9(YIO*og0^=yN9lv7HjsZpWTs+
zKfDA{3aTlQyBeu#^-BhPJQB;|k@%V&)Hu+Yf}0giMJ>LyxcGZ$>V7AT*__b4*3Z7i
zvQwK{2kE+Do=V2WP2h;@z_l9dx19KII0i7!7gK&@zhmq9#WGGNIZWYa$wBZWs&ig~
z%|A|!jV=jnB8>`(5!0O;c2j3mQ693+0pE|%9L0zm#h6KU$&BUF94WnLj6C27#N}Tk
zk0e0QEo|Z7qCN{#D|`@{hD63Oco2yNsHYLtWq&r|S?^ihxXk$c0JJ^m+JD+851>Yu
z$#%C}q{h(Xpg!=OT56g9s2nNh&ikoP01o5+jq};2*x6(DS0jy=Zo{?(i*u`n^Fj5p
zuquo`1vq;(j27l|)%w=k7rP{rq-L`%U9UA3bNAvCVhbTp5QQq+EXm`N5_-u?4Q2@;
zfkeVQYcRtR=2@HqaM!2Wv)L+=bG=%EE?woDIjCwV7c(;RxK6Yqhyc>PtINCl9lySGtHK9K^Sv?M^eHpTLQiSGRJ|anY>7TMIma1x%*hi
zi!aozD(xvR5t+BDpNob|#ZJAGZ9a75p5@Fe#e!>ip2G(=JE*)n)9M5UtQPrP1}yp}
z&w32C2H|u6*q4OcAM5Vw&}y?2^L)?^P0dvHj#{)jBTB3NkRyDilJh)M5^(N#zDHKu
zUpWz4R#2&CBrr{<80cxg?Rk{g|?uRAq{KEycU{N4=Ik(4w(k3Q{nSYM504uSV7
zEHAtu)KTC+h~7f`O~L1Swd&#Ixm|9wI#?NA`!hX1u(D(`kF7)a1VwbmBvfp+#p$_le%*bMFk5!4>=)hZ%Bm{x6gp|
z7gNg4doANe@eUa|p(=epCgYr4ZKK{$5cxE(MKrwcd~v2p>nX3XP-pAW?TgN8YtgOi
z#7AgGKtiHgN6)%bLZccTH=(ySc85FV#4sat%-c?iH9c4CMjieP0QdRKz275vgL^LB
zhGsdhbB8ISSm#tL+sdzK5SINU|H>V;6ZGr1BV2u5K$WHs90sF^N!{(c0DPfx-v)(r
zbXuF5;x`;FpY)w-_x<{|z|Q&`h4k+yncR9AtsG~YDenEv^B9&2E5`n^Axs_XvpT#h
z{Hp2_PPxNcrGnOeR7~pv3L0o_jJ{e1Ke6g*T=~x9^qUBoAmjJ`4VoTHH>n}u#)){Y
zUajSaq&F@24(CS=@9*}&&S2x4?$T-RTE2J&PvE##XEfWlRZ{kyH_k0`gjR!@~B#scoFYR}__*5P7Ag9Ad2jQEX&Pq2Qum%YjuPEGQ2P>w_3-r7}%
z!xGj}wOyoAX(N$rb*N0zi*v-A*gnBGu)}lBvhWpJSF*%xVhe9=ji{)(y@(S)F#PL|
z*TnpDe`2c%DOf<0subbqLsn=-d*M#cGVia2h;~nmxnt=-~$%EdvQ5fTXjd7iL?>yXVbj>emp_
zYPNUy-7fQ|g$P4w*n#=v$Vu}BYQ~g#Wp$-0b$+Bv=9`qCKr=`-C-}JOfxa4+1iPk3
zZQEa=_C$M<-8Db!v}$EX!WGS@|7lqq9L_U6PtItgglm9Wc==Gcs|qx)dX4J2itGF;
z6^%+q^ADLdzk_S5J4PFSzNZB}9S1c*`x*HSMdZh=B~0m71L9ei4)32g)+|c*IAES$
zehE0MsNBB^_b%j
zJDkwHIbb(Pc3wQNDX=U8>&<0?9-)^7ak3
z#!st$mAQ?4W@>RCG}u7*nqzr=;LhIgXF*FFZ^e{cCvx%B;^a
z{;rj+3^oN??%MSsWUIYm2E!Rut5SJOF-;5rSVBqP`}osmslhz8J-~y1048^m`P;SY
z4i7*^YX!clr^7@^;g=R!&mj;)-#M{}KX-OYqEdm|7;
z!rg;Jg2~O)JtH=GI;|F-VMA%^DU2P@e~1-*s^!3pSPAU%WQFh|Kg91}KXt1S(L)h{
zY0slDgTT+EU7Hbse#Q8cU+P5wuFD+U>4h0=#gVHX_WdR339hwVwq>kZEa}O)tV|&`
zhK}4H4u)VUwf?tA3O9lc#}vWwuDu;YZqZRtd~`|beu{A5>2uMB7vyr7Nf?(z@leKz
zgZ4(0!c2VZsHu48gbfw+d2YX~(kz;6sxmg<21op&a~py^hgA=e*NI)6^ts^;4QX)m
zJ9%COYo-dLE@0z@h0*EQgsQ(ekPupkK0AM}rjU#d(AB}@-D{mQn*HTdEDHzB5-6|Z
zQk2c!r5~}_yf2Wng@h9kIJ|d@`jO~S>n$QK19VrJfkx2u8V8URs}WSZ`mQ!P
z2hP93XXme}zP$2-^UnGtlkyOp5i9xk#?jKC0HY?B@^D65g2Qm8UQ^%IIK3A=y$PeG
zdwxsEDM_sLoUlr?pu*WfP
zIgaJ$anViB2P^%mZDqsrNJ=OkiX@J6P+mUCIDmoPB@m|!P!LqtXih!M`+d@Y1&;Ps
zE*==o?`--h{s|ZkOpQh8j#IhIt&VZZm4`z4v12Uri9fCLaomo0^(&v`cQ0~qYTS(2
z7LAjKqxSsThP;QJzVQE{&aJKy;BS93_Ek`ydP{`%#_IMthoD{d`@c8N#02}nJO!_X
z*z4`d|IAE*IDf9xEm4CnPCP)(QZhSRU-FC46>T
z2s}zlC#q|hsvGxRQB)YhUEPzc?L=)et1NSL9^v%uoX?ssh?2O(g_gm21umUXxJ6QI
zeL>NFSY4q{Oq}dv3le#)cXMNlrSzHnT6nx4$05^rGtzxw$N{)ksw)>8__q;mQnkW*
zT)&3_Zsnei1?-kE?VUX3M@iulYHjoOgy~-LE8pI}>0o^{$U^{EhFzB+#nw>Sgu+nT
zH^wfe9V)55hk;X1eaZAG?ylQlTIju33JgITN#5sl*8H!9zZvhUDEtBSL0Cm5^Ig&t1pv##
z$3n^&q3d~E-Pke)YaI?!2iw$&?O~`xugqpHP{RLIqCa-NDxfy0Rgt@8>n_{!3fd%luwJgLvH*^7OnAcEEbiM?OyQ%x=%F8RT}KH_rlektn!1KhDq
z9^pB(^E+{`R}wa6(&<}??S0_>Z^;)ULgcO(j0KoW_2M9xl`eX
zrTg>YA*+5({eOZ-0H4WGm`nB$9Y2D)H%`vQZZjZnu(-Mn6r6B{6fM2)miT+&=hq()
zFmk%Os?l*A97AWHt(0xhZtBn+axiE-bTSXQvr)8zh4<4TG6bh&rnZ;p(+s|AOUkD-
z$KQbd0q8qDrGteMcK`qGH?m5nAN?YBmmYjdMYwj6A3FJ2di$b(%BSU#b0Nrs$zbj{
zF4^BZj<)+zc+(UQHC`UA`?*|CVlY6xW}Cc&{;g6rFwjksWCl5u5e@psP!=(tH;t(B
zmd^5ql4vaO8!26!_C*=)cNHL3$l)x38OSt6jQj^!${!Ihj27Uk!wKi+RgQ6RG@!eR
z$gof3Xkrum)n}FYu0*?GDE|r;-w5PN!(k|VD%p^>Bp?&XuLRH0o5`m{l_gfdVLV~j
zUim*&yYB;;n5%1ZfgzViLL02$U015WyEY)jLOQC~Mw5nSHb1-nqqhDVkudw(K;uJ#
zT>b|gIDJfS3Z;Q1`Zm3ZNTXa_4gnP{E%O{Qv46@<{)tA4U(WQqR`L`aj<#SBBP=AKz7nnnmcxW|FbANI8YAM$+slK@2h>MRFE`KwzDVfzQS#H#BSRS#z`ic
zLEy)+sQyW~rxT5|kJjF7x-LhHnO(UAeuG>%bVBNT3UqU~4S|!u!#G=Q4z<)jIwHW`
zh3Lwmn-is|(DZV3I5nvFNINKB>dvvv)S;4ALDzZz#V~}oe|cnoQw9@cr)z0he4-6W
zuIw72LUPCSrtTtNf+_n+rT*|+#{MxT03-M>-4!9AKnjv?kHU#?&Nn85*35uz)QljA
zxP!)r)fNQeg66vM|M6Ji170kZpM2l(NfxU*mc~%f+ZP-8H{$o0fQ
zKsjRMeh(a2J-G8c>`DZcO%b3!eCFnGy-V}m!I`$yM^8(GrNa^mX4Rfa
zU`VuY`Wq~^Ywf(z!u{{zAqzRlZ~xfy106p?=F|P}e8qBYwKo@1Ko_mC8sMeYQxPtR
zcUC*a_vzxt|4g(F6mxXu^%;TA(IEFJe@7%0hBiuD%tuV?!WCU
zSz?7Z6@||f>4Z06@}{&3`llA`rhc&dzxzuy0xdYg=dl>NnkL-2d|Uk{4){HR5u#p7
z-oMbi7#jX~+TP@(?H
zc~ry~9O%D%eS{!KXdHZNr=S5nI*gVPgbSs^WLDyS8f!23KYH;epCs|&)BSe-@S9CD
z1p~75z#s7*Lf#UhpJ%bS26YgEe*7l~e4VFjsUQ!x27$1PE@yBRup_ggG;16|Ok8f+
zB|B>N%l7}t0iOfBmK}QFzI~ic+$KiY3?PiqwAz6>ABJWSDqcy*H8(deu7dq12cEAW
z!4y4kkC$&fp?e{>H&j|_Pt)MDvEk8h`eQL(!r86E-U25p5Kf66lGfkB&G!Sab~*?hhphYST>H@1(!~v;8$t
z*)#})Y0KMl0tY=V844o5p#dklYn&M)8rArM{^`5BqUrykS12|}N}uhg$L-$WkM-u*
z4X|z0ip(OZ{<{@JsdtZBUVHoZ|AQk9a6cncL3A^jq=ctK5yWOz;5y%^JCNK&zC-(R
zBJ_;&2h~5k?Lz_$BlHbK=l1HvShxKRjt=z7muO@RQ%wD9&vB2(xwN#J?rX%q$VC(N
zq?dyHf&0}&yC<`EhifByiac%iW*Yse57!z5z$p8FdNKV4QsLK`KP@CwGlFv$Qosad
z(}xk_tf3t15L~!=og}w>@L!OK76jSjMH~b*o@N`YT^vG(_$w#A8MzH6VEdHXD)E*<
z67H{Khk~JpoHs~Cx3Q$GEFHr7EEI`X;NtlPDpV{%`ytMg**g)T|3gH=c5qPz8W?DP
z*jd*mSJUzphkpN-#SNoP4|Q~&o9-`OnQVaGkJ%NkHy?lHIjx}g+Pe_P6;07I?Yl$f
zRH)n%>lLOW?7uHZ$*O_Lb2q#Hq`x)~tqrW$!0ED*UR}XoElz@uk3!`8iy5p4tzRx$
z&%eEq^GbK6!8&*ziU)bfO};gFN3{p=}1^-JU}v3u^7O#Xo^tbZxMEDI8!H(2?{
zv_hRH!afrWFd8^@VsN*o$qD51UaE~ar}9d_*~lRDGs#X+YW#Ju`|CQhLM#Ip%4T+m
zVTSy>7QY+c9&z)*&%<-^f36YytpSZRt#%b&*cuuL(l&~Bxhg)2UsieA2CiP92a=)m
z^+r;J>YpBMR%8@vfT00rm|W4UL3Xn|(?Wv1?EGKFZE;|g4j|Df(08or>HT0xJ(SV=
z^3R4x@^%4U(>{UqQ^qSRz`IA~p{AfQD=m$ulEoUFMRNhs1uN6wByw5q0&kQ^`0!_{
z=%1|&>W|cY98WlRrt>M)D3}3rlDYjbk2C^ZU*mE8aOZl_pcaM$`P+ZH0I826u37(*
z6#Zxi;AssJE@l~O27Q`cl~cM%scaP7Om}FfgK!>m(HXMKA7}b`Z)hsbXsuS
z{>?963jD4_tJKE({3M8bKRb)Kw-zw7gGZF*>xHg4b?L%YbluTJkeVEO$oFKW?;DlFu-Kke^`((&!t0ZJqvZ+GGv!+^
z>0Y43wf^v%O`hXe|HkAl?R^BzJ!Z^_)ppMW!zJXozMwXSNBqYUM@2qOd;^dMws|N|
zXN=MrUCdnI02F;^3N$h1`^TqWQP5Foemog=N{h;X5%ppH{I;KxCR4aPgOnXBS|nKu
z6CYl|rol!bomLj|AT~#?t2{wZLz)dfMIxqySz+d
zDfL!v?A0v9(6u!+u)Fz6)2&$U$RqnCsd_4wT|}`ZTh#Cp4qZh{{q
zjJi&yv%%oP8cAm)BbJe8ezrs7vF7_Ro_zU7n!>zWrP-M3ZX@njPd^WV^75nw4I{=z
z+9I4Zb;0$Zro4ZsB+f80kTaw4tkYK&eY3Sfo~v7;O7N_wb;>F>`zOpYm*$58?Gl&B
zR~ih?yH%o|u00;ZI%9>yx}|!pEdv9uu8dLAOF613t#3LE2*O-{>siYzPT(C@aqpgn
z(~ooyr=A@bm`Wb0sNJ*+sKNQDs~~`c=)XnoI9{?{|0OUP<%A#u)nli*ep<{o#~&l*
zIIH#{s-N=g?r`YLrh~^?sv&Rv><0HdBzrF`NnT^UWHa(t^CmQ4nPXz3
zR~DB6;K9gD{i9Nju((ooMzUYkaw;v&SroPOsEPBYPpcSVQTM7(1pRSYi}!4%`SXAe
zg(0VjV+k}!jBsuIEPbS_GJwyn)z-xE$!)azV>uJDRtc$ImHm-2s!_Vl|Q
zfZss61{C&I_Yzv9mbtK1zCgpi1+Tuj&~mSahyZHVa_>3LyGEIpwKfxD4s#=4M?E2j
zUg323BYN&8KW#j~zxxYoYhu;g;ZPE{gM*Dg$IGD`)WL=wpEw7%#llh&K}YqAgzm%Z
z9FM0wODDXSeOY3jPQd{^;kc1J6$9@F(7Ejk)SfnvMgs(}yjignN31;}9UHYrW
zBC66yf7d7->93j=%upU3
zZq*ouP(GLt4})h>uqEqJVJtfeG0gASY|v2LV`_R4cTUT7D_zt(6|FL%tD~wg*;sn}
z#77$`JIF$$;bChGC07bH)!4)A$Kt`Rc_vX>2uZ@b=kJ#t!6{M0j!=Xj=MDiseXmKryZcinoa=>i
zL{n#`!r)2CCf%=W8|N^wOnbfEy>TxM(#Mmt;CDyUaV`$ngvkm+bRg6G*Y5Ei*_
z5*6mS;}^MRb%_9%Z#{9B{@FwM?1@idYt#bh@02o3d3UMrp1rfHw7(phJr2B0ZOnG*
ztDFB7AhORD8TW4P`4^YW9OZ<#X4vH#m(Jek#zKCw?#%io%XMKP@A5(O=v}PGo%ugb(l@e|~kiG?x5mRPP}^
z)@g;la>=FPY)`lBsTD`FR99Gc)_5V@4g^l-m3X72OZadKg;
zzzPBjQtyp|_Zg0q7V~|o&GGQSMT{(O6BcZFue4fPGpo*e4fIHVB=#3x%bkYP+vRax
z`JG0LwS4t3Ik)p`d%Xi)M}RNtEv2udrYs%WVhc^JoOJ5^AXy^ieS5Z^+90DQ`K;Rm
zpNHn!|KaO9!=g%>wnq_h0mW4T5ecgV$r+T4N*Hp^QL=%j=AP9)3nLdqk*`yGZr>!%
z;L_qJV$ZOb8U?*~Qn(NAz;81V^B2eNe5pO%D|_!szjh$Se(5=4!g_xrt{WrOf#HeW
z`Rz<$?qixcmDQ4_VaJ+$sGUH^d2Xycrz@i9mD+DfLCGJ9UIWhsW`4YUGf-x(_lHEQh{(nsjjO-LR!q5|
zlO|RUe(W~L%51N@i_bc@31)BD;-G1+;_K8jnc
zIX`2bphcu^Pl-`FINskB5UDq3-8g59E8VVly(t6)z;>vJ8DVctHL`^11t;u-mO{Cu
zo*6X{*C-hq+Lx0sBY72wBhz`a_70yv_}gQ&*~)`JJb&g2Z>_t#6FlJOvxY~_5suzM
zlB6j#V3&EbmFt(k5gE1)*Rq&AS{e{EIkUi`)b}!oyGRO4*?e>AU1KqZF4^dF)2)5?
z$sWVr-E^Jp+%puH1tfz%9Blrd?qVxl%tz8UL%jry4ugZex82}wp7Xyib}kGPFMgso
zFZpTZ&K{1ppQl9Wj^~m4Q)uua7pXKXiqAQxV!4TZXcy%oy2f1Ww%R%R*v_w)8n`dux>nJF?5AKGxZYL+C`L&_kNVJK-
zlhTo2E??Vo^~UI&on)+bC7KgXs0)g&rcJ=Lm#lr0WL^l@-4p
zN?>+?4>ceMR>!O)?totdWr8l>gzY>GUAR*!c$nhmG`}~89e39%PlawlON;!aYp|mv
ztEPFyJ;!90nB(vmZo~MPU3EzERY7n#1O3CyA?Q1cJ*k2WwF{F7v-lC|iyy^r1YHdb
zD5%WZ6G8PU4GrH7C6VWB@>wP`h=81pdEg6TFtJv?t_k;2xS&ew_v~|JmyiQ!tjAx#
z#uxLJ1GG=-&?eC(n7OPjsub
zE*{X=zjOt5n(W~Z^I
zoEaTC>tIv{2N-1z`>b?Fr1m>co|B+duA?sDum5cXmI=E8
zBYKX(WAAl2tBuX)hE}9P=%}Sd1}N`plzwj$mqB8#z0cBWL1P6yFS8Zbs#^d}Dzl!v5Cb$rZw92l*dAxaeY`QXY!y3e9D1KFLC&4-
zM=5*Z=lTaB;B_S!%<3vIin|$mrn}28;0{H^e>!C4^oYJ0BF0{#h
z&SW2Cx{LxBhgtRNcUY`avm(x}%#`6O-B(OZWsljB%Ra3V$4jX(+y%<|PbcP2WLBx*
zT@n45Q>{GXCcCM$2qV$@_2&ZTZmgJn&n-L?!N5@C7#&lpU*4KI2rcR82DGFWDic?%
z()!+lpvsdjuXSPx8i8nqD=z06tQegU*HBeG)&&YDSJS)OaXFM#ae2KZ5)G_0(D3J>
zkfPk;>-g3zhZ1gmd|q=dasFxsZVNwBNM_NCI?AY@H5_l#=X!<#Xw%fH8
zdzMSMOj+St+`eu<|1``a;rE(bpO>Hu7buZsYaTu?WY*Ct$7h3cc^glaMV9urejP)O
z{*w_>8d_|l9AvRUbdZ352Bd52(dwXF1%3Kw5QCXS1FQ!m8{zkvM6!~jn+Pd*RqPH&>ItCz4F9^^Jbv7I&N(nl3>y#>GKOoElgvz0}k@Wr^skUq4PyKd5({LuHTZj`L78dYuei
zM>mb4c3LOWI*5Gp&D~7r3K3PxpCYK${wG%e-CJ-{iFtY;T^K;
zmhEBQjjTMHu;m3)zs)v=+GCL;QIfzQTUXc5g~(>z6%oNarzzLx#$&0z87?#a+j>Fu
zEBPZvl`f}L;rD3t2LJYbBxSpDIKqQ)9L&lSUd}xCHR9?rkqUSu#X9iqcwuFL=>1aE
z>9%|4rB*?45lqrgFmX%EP8+D16dzP!F-l98!estx?rW*`m%E#-`w6D88t8$IQF>FFr
z?_a_dRf;o{jat{vm$<{HSk-3s`(idlc)`4Nk(UR|cc(*n`rP&fF7~;S
zWTZup@D+Y(b&~2Wz&e?pew+N?{(?MX-P4`+*Fxubub-i`hI>mG{ST|@&1Vf+{^=>a
zqDU?6!_kIO!L3{p)3k=Y@Xln=M-S>fqndGF39Xh
z_GV3>cy#4Xf5DUQR#JRJf1~1)H4^}$HyRnM^~w60Wuuw#>lScYlS6aj7#0ixpCW=-
z+U?k1?#);lqW&R#U)-lQo5J(l$(MzyCXx$+0F7N>3fL++FvgZZZ6BSH0Q&YON30&x
z+Sn%pry@OdyVcb;}=blr1sk$5vw_Zar)
ztHSQ?8HgNztyPN_Y$9pJC!o0V(MBi6o@SiIpHq33Qs{ff>17$gC@bxDQt6>8#_GC^
zoJZ;hd|eUIZY?FfdQ<8FcDekQU{{;7I2<~NgH)owvjwesB}7EWR&0wDx6Ml3k8fT|
z_Pu56JRVo8`gQ9!Ve9Q|4~k;L+VSIqn?N%Eqld&9fX?wvZ+j!^#C7DRXxVUl8=QxI3|L#XfmRJ8Dj4swh6WgM74ufk?04=H`*ttG+~!B*A{+xO
zu1=&}uUyZ+WS1(1xbv?r$7(D84Iu}O(1xGM|rCh>&Ea@wTDZnRBrD9d&F2fo-6!#%CmJT^$h#z
zpgXzsP0RAI{okGR7(zo%b|D{_AaMQP2AKBa%&iRmcMk~)bp@E;K8hMJub4eb)#<3V1LL1RIJz8F
zS+bU;Dw|IpMgfz4-di{yfAUYfqjz&}Npw-p2O=SK12*>L6^24_Y-3po!pr1@9;U_^
z$+S~Xxa=;QMDGdPD4f`aZp@a`&!<#hC+$1wPaYt&!NdfE(*Wj~oweJH=F
z)MktR&hNA{DqP#tCdlRYX?*}|>{+^;8Z4cedN^rEu@^y3Tde~El0g6dR=peTB%4-m
znQHyo0gJ&M=5qs>T>c{s+DM^%Wvp_SB=g}P4~zl$anQqYsONI7>oHMr~=XUx0@
z_Jn8K%3`D;W-8h3)DLsnVQ)wa*hdpZgV0!l5At{jr7O2djI2=Kq
zysDgpR47?6x^v#z>Z;}^aFm2swBboYtlN5Ge>XLzA=i3A#{Q-89*{_&^1ft;eb-II
z#74FJ#wqeBYB;5YfN^F=SIu^Eb^vCm1x9`P&%n$=o=J66VVb_!_Q%iV
zFc`0TTyF`7$o>w8zp>hy&}!B9;EyyCr;ZX}4e#$(8(o48sKr51)_~Ra>|noeA>L1<
z{v-I2SG^3(7Z~uebipj0Yw2vK*h9x&)}&OI0Om4ZGzTdS>{Ne{vg){Fy87w5ue+nG
zy|tz5B%e~LR8tvGIS88OzdEN$8Ee>PsL0X$&fj>u*u*cvzK|^k=%17a|JK7+CAl2{
zc=qI^5zvl-sa=Z{VX~j7!yNCA`c-H1z(wUYxE^zP?wc);BN}I-ktPSKEWo~a2jT!S
zOf|N3$2Lq7Hm+wkvwSdc2b{8&ZY!8HW2#60lHJxpw_5U&Cu++RTh)f|^LJe9J;!JR
z#b2$%j_dgLSf0mLBF7|(+p@Kq**Pq_0t{QaIX?RGK=pJ#gP3@eo-;BA
zPjHKc+kPg5FuIC`LJlyMBhAFs=hxoYdZTrJ_bxSY7l4+r5-~|uKyQm1z=$d7`H`Mg
z2P-J>QISowMR@JG#{NXuKBs)T;C%bc@C*4P)Q(}Iw*g|2wU=Eh
zW%4gOMi@R?O4yvw-QcV{8@{fw05mRrPIdUtz~ue3Vy8BSg!O#H;{`IhP$^X9Nn2=*
zcvJ34AwQvZO@ni6M&MH)$p6jD0WWaNv%c^c;lp^S7vt^SAKzEd=ykM1T(&p_>8UxS
z0cK^BJ`oT@%9GGrzsx}PCS+}+4k@}U4(<)h#WC8L4%)uR-LGFFg}b9rgu5>gNddJW
z<)WZwe!1VP3_dRm+Y#9$4|`I(_Tu2^jgHvL$s*agsgeGxKh=NTjAB-X$Tzzu;OglKh@jp}A3
zW>?By>?=U154O@F6hDA`-bAd70#$>@EmVrd=&>W_tCB!8ShAzee(Q9?T)YQmRQ-Q@zuD7C;X@|$5U9zN`|u-*
zeyJgk>-tk3pCXI-Fi}d@i(!?wl}tJE`BZwMDTLHc-KuB6au~(<%ZZCVWet+aId?hT
zx8%c(5jewEMxxPMqhpQ2mRiE|z{hW}qjip-iI}A2+Pg2Fbxn9PBl~?Gf#Fu#x}?(J
z{LUZGZOI}qUiVh3WB|F3m8!igLEiXGFGkLDkc)Xt1f-0o+Wh^7kHNU-1=PeD-Bj==
zDD5eA=cTm$=f`E>V%j)KP(0dafv5k3kBPlsK-4X!{YWw@kA_mI!53tAVX$XEr&n?t
z4JB$8wOE?fHTBFE#BG&kI^{#yU$WY;K|$rgosFeX=YT|C#}6Z-sS-dA#K>4Tt0QMocAM&kqO3hv9oNvpa`fL|T%%0pRd9x$-E*OG+0(TmN=L>Ejhuq{
zSufXzR~}PCrfd#z4lvPI97!hoDz0c&?>t-^!BNJQ{j5#C-0+9+vxaEE6b47ov{3!_Foe=`J_sOTQf?F)`1-FrYJVND0
zMdP}(>O<2+(1Wo`D4`V<9X-##v048W{JoiuLn;W)!@5-tREh&n`IY;lk
zqnnD!)>ggyLsPO&_IKRIjbEX@F}Aq7y85p=BICA{CZvRxyb>4~A}N~dUg7CFMoYz5
z%U{II+LUz%qvW28umA%Xf{Z3vfl1Z(v;DFON^-EQ(f#?lKD@9z9nx;<(g@WT-T?v9
z@3vFhYV~}UY{mFYf1FfVtghl-6x`OC;`T(pZ;U*Olx#hb*@@#U(d6zs@75Jso2yhz
z6tO!Q*#ydWYO11k-{>1t3o)~A4(Cvm=#@yQC?JiDS73UYfGu&`Wt98}=MAPCs0who
z8dWMdE}u}sfh-aEbYEz5RDwDEA)LSdO8}+C7VJe_IP<`r{O|t}KwZ?;SlsmN
zID}Hbkd#$BK&xa5y@Jj9SQAj_yi2Sikmb(Fq=$fO`tUXx5dkF
zPRs@h59kgM#{?SLVIv~Fez`Lh-`{k{R#OHpkEQOrA=)>%J;iWLwM%=TUReES*s*I_
zJW@&1(UpBc!M)tiU++$Y)NGFnkKj`C@>u%5V=S&4LIF?7?!B-#g6LV;z!dQ7oc764
zg5mJw_U95FdbtiVz1cI&@J#yUqA9IHo}Z7F=-}loWWJ(P*>9bBq7M6+8>6Op*O${G
zKrENu?R!rcRoaT^S1E!4EU<`pa87=50W&4$OY9zJTfZ}`Hto1vyi`|nsk>cZ=I8)WMkuPi8cAOc_Mj@zftOQ0pYVN~OM%3+h*05lLt&sTv6qY;>oNNWJ~Uc3J)
zgxjKU7yF>>e)kb6a>Ias4i8aoCqbUdemlXg9_2o)5FanD_XX3XJ#uD~1tDN8%dlw0=!)37HWKt(r*Oyb#hf8YLApF$-
z)w4NbkY($#x?P!?qtuO-lXerY8Jn)YglsGRU3>W0zLhBg1D~j-l%@)GKU{DjK1B5x
zV+cu~6sk7c%?W1AY+wG&^dy+!Ct`{S!;kV;C{@68(HakDTAAkD{mzcWx;*9PJFo#!
zz?xtZmNr}x{vt~6jgl_lGR#GNVZs?1usBaIW*>-|Y^|gaaiJKlsbjDQbGH13oPMzJo
zM;cI4yRyJtz*ZmKwuR9VJoubbCnpRRju!g7^S+p$Rf|a#<{_>fbY%
z@J2{IMJazPa8|kXo*^oU>D;V`=3dAq`d
z35v7wh+dUip&P!fRuls=RdU7G6{@POGfL)Q$*1sHj=7Zta@s1xro;Fyts#y;FcEqRa%LU%fed4n
z@+t-aa%!|@v(LOG;RwVO-j*xjnCljkH{@Y#lV0YW@vH5i
z1_ui~V*-}z@N!!MyXRzEvF)+!ZokvGbYh{m3bm^M~;H
zfR6X^8Y(~_{nc-xT_Al21#Y;~80P0d8}Ad8%L`|FS8!!LI882fQY3=12>O&4>_mZe
zOCT^Fij7^j=hL0mJ>jTY=SQ50$TWkwNW$AVo6HZHH!7qP>U=G5zBYBg$`)*z2*+1G
z{@D~dTAtmknR-EG{NPZ~Ny7MOgTLPOXFQ&E#S~qZzrPKH!%?_U)
zkn&)?tUe9IMc^uuJY`lvrP)13%GNDN3MnO_aw)-sI!-u%}-f$Lt?qL0&Jj5<)p&j>Dau+_0Q1499%
zlK0~~guy8W24r+_1maJ4_kZ3fbQkpn@aw98gM#ag%J1q^u_wmWK~TKoA_Z0UjInN;
zk(A#yNcfmd$%ZzDqe&D8G9%a@ZcvYf1zyXhk2jd82*B^0VnZhSt;HbFIVlV1NZ5`c
z#Im4H#B*>Y)gw;UdZQlVOb|*lcnbaeJj+LQ(+s~8uA00p{zZyXXIQn@2J%ym7o(r&
zf_@q`G_cK26^0mzMzJI@93PTs<^Z
zW4X;=PhuI!&pICdxw5?pDI9Y5lMgKk5E1mX;Fct>?TBChf~v&hmlciEkC9##Qddd}qCdd=QD;j~sBj_*RlAv^?lAMyZ-eu+)YfSXF4
zaEwi=@bS07@jd{lcz;??-?S^%=lhh?WHH~tsa~eMYvN{NL#kE+xS?3kh-LKwa=IWn^vOhVIu4T8*Wf}mXg^Zi?SDYm6fx_c_2E+Rq!
z(@nIhw!y#)Nne3*b)cjcf8n~IKyyvZyy*5U>qYZ|?uC@6Knmz0G}q@>Ui;*g_z}5(Vs^_phf)v|jVO0v{%g)N;|;<)gZ~i<(Y#GvHEEDTIh-;fo8#LUTx}
zKlsCFn~ZFpC)&@VW4b@W?<>4QIl0REWa1NlGzbbiWV-j-5
zS~GMx^w^9j_t;z*zylD?ExyskFrELX#*wVh>c&Zw?WK?~=U{gcVKoi)DL9=wkUjG9
zUNBqcrZ!k~sv8Y()NH9bVgiNVz{y?>TGWFX90Yr`BA+R`Ri_xCDi@YNq9+Ieyjx&?
z^A<02)vkxm`H_l-WAKEp%1}{$s`q04AZ}0u@P*^%zGPU-9>=>8#O@!7i(ZV9&Iejj
z=A^pMGcI7_R$pS}v9^CftC$D&w9rTkm#q~z?;c_ZeouJ1nZPXOh7j>GgHd5s+_SUw
z@7-O)8dN3N2v7qpNymMBmLXDYawngAblrQR*j)a88DkA$Etz~4m=DoF)`}W|SNuFR
zhM6#A&pH&TWIK`;*QgElMx+INh%1*V<-du3&>U)0wye1x3N-LLELlv?Jv
zQnem;*Su8angmk=PZugn$TS~sekO6NsAoElWojcRGGjJGWnOLW4Fz#F2td51xp|?|
z9aiRZO~CWW!Iy3z`!s%eQtA!g8R_FP;D+ZhuM-+;`8FOAf8z@}=HnKV!>+IUjJ_Gx
zg9u)<&3(uOd$Q>NJUb>xzR*u=X)vehG${+Hnv)^G)ep6(p~rm56Or|y7#|lCmfW{;-V9Q
z22Rx>FUo!&iDR|;M!-3nd5+JqoX2I~hm$I^dVTJ%Us}PLxuA8MJ?5vCA$7iO%?^#9
z3!88lB5+GJCOkVe(@NAj=&WM!XGNJq0*zU21nHhmY@abLO*_>bC!UB*=$=Gp59}%c
zkCW8&d=uFGYVQ_0!s$8+Bfumv+LJk%Zre4bkQQzB9!#(!Lc<1wYx+MsRI%VU%_!-E
zxzuxLzxre8(2Y#Z2dXiDW#C7s#FP(r7#ohGU-zC2fxad7tZon|2hy$QYD}Ty_pHI7
zJ0A7Ypj|?}#r>G`gi0-z>S)5p6G4XzxukUk{i9c*QtbAQJnvt-N)^8}?aKP>0!=Ot
z!VoDLd-~`oQATl7W`9kxT!nYXY-kBmQ>mt
z7;1GBAFkf9W56}hR@|in?xhf<&kfZ9?hmDiW&l8Ikl#%yw+*>fCEtPG860p*{5~we
z8t%0i4D}VR8i^L}Nm(Bm01z4;A+qd?;_gudh$B!k>f_}Bb~wXNpCy(gTl0v2EI}%q
zE>fX&EDH2U)N$-SC`-NeN02;+;mn(`eeU?v@6V0!T%`m~BllmKmRnQZa!-MnG~NoM
z8;^elGD~=iY+a5@TKAYTgeAKTd?zH7-jY(-eUn7Dvc9nA4q-S^fhDQ_yPpu}&f%t$
zKey6^6ILT5o6kP>NJ;9BhF{;}f{z&)q3$Iy41K|e`5OU@A&r_{r%+sGAkK&-5g{Qh
zMP=(3%#p*J!=aj5U|MH5y6?&B$^f_iBf5#R!7m2e>!x{29UGq-<=f-Xw;zevgb=d`
zuu<0CGewLp>!EkQ7pfTUD#naD*=gLZbD0T}6thO8`V4=TJkSD%v1%;WbXoVY#ToT%
zKt(oJ*Vks`VSy_xKVQH4A5hy@z1I3Cu&M77C{AoK)HJ*z;EYhLtA+?N%rK{Sgzs3h
zIER?aerQkL`o7y88X!+Jq+_OVZwh&?=ey-ROPm3}%}&utF%wUUGIJf%F=8!q;Hs2j
zYWg!J_k$C^+Paz0hE<<52(YK5d6WQ4{KFRi@(jt(73%fVk77DK
z+)Ei~&NTGo=Hh@8_5Ki)E~K`Nso=yV%6`2QNtQ!?Gp6ow)83c+qP|6kOq%y7$wq&I
z0|0XKI#g|gb*{~Ftgr+JrE(qypsou9w;BuMty=N^iM=me&TG)|ZBMxz=t|B-
zJv#R=NJhc+0Fwqh*9GGlPLA7I37;G-O|<7I2KE2n%wkeUlL&Umnv`r
zcfGNVMjHG}VzwMNBq4HGi>kl^Xud;xClLJA=d;iHur+t_>H$9InW8PvlM)`#4gkxJ
z+2k_UY9|N_Q(nnoLCq{>wKfY_O;1iHlx@N2PI6Z*!Wzm9bi1W<*xNI_
z12^cWOnW>FHT?nZG**$oxfGV_W^(`CZ|e9GF@%3EC_(~AI9^0Til256l@wXRq+r5H
z@DPjY50T^?R!j(7j@zu0Ie(jRXMv9YF9OiLZOV_B{Vr
zSq7A{NkKv9}psXJ$*(Opb@lE@I?)Og#H$
zKqX{k)Hc&5o8HWKz1+f~UBzXo%PG=x3N^Kp^BF=|R)(&L+a&OC`{ceyP{ZIjsK3Dm
zG=Td~keu?MtK-&hI+-5rI~vV@Y;WNefNM-jy$!|oKxNRH
z>yGkNj*Bf&rlC-Tlonn+J)s>znJNzLM3-|UG)P^LxD%lPWQm7+bNw+l48I=t9U<+S
zaq^WW=+*WAHq!b%SU?li4>~(#3dH{#(bGcp<(Hn5UYS)7tLLb%en}rb!1An+yAB-t
zjzd`s)|n`#NIY7>>em7UY)oz+Qak{qyYy(>7*p45^F^5js)G6Aj;%Zjt38^g%Y^2T
z|1Gkbvnlr=-9;iU*B<{?g_Y_*1)#l#iByx-y`{y&2&vjDUR~@=W*Yjhj!W^y{PYy}
zlDX!dbeT7x)49gjSC}mTt$pd=IFypJhnKZS2;8K>U%}$p5
z7hD;}P@fjS>w@x)Mx@b{I=#0pSng*^6ODQ#XRbTy1zoc6THN`>B-w2N!=ncPz1*Gn
z849l4&CEIms%FP>S^H$Uror-kl8e4pX_}vxsp?X1?n0rOC}f3)KXr2R_05Sg)Z=Xc
zu&qphS+b7y`8`;Myw25IB3w%Q;%;;tOSzmK;1A{ye;_^VB7*QX)O6@ru<>wY_yPWY
zQLDLGb?p4O(ZKl}^txJs?sut`AP6-;{mC%K+gJoqD2dT`3Tp{)cP?7>z;uD`E;rQ8
z%i!aE;8>uBTNoqJQzb67eY{Ev5!ifr#0C9zbv5<4T?*=phB}I1R&>OSKndjfiHU;`
z4yQaFHy`#X;|0WzKZ5zxp)N=m<1@TC;fZt^7pC6-@rnhsj{p7rvKsPcC1}+Llwc=2
zsWean4ay});@ZSx5=b=7f1Hzd$PdgLDG{=)`9Y3OVSy9-G+tzzlRo{@mG+MQz(SnF-noqY}T%)eCrEO^s|2-Z3x8=5-3>)g^d1
z1yNc*fG(KXU#*qtZxX^>1HpgnJvRjf#jlpA+4P?t$L9X61?8-xY1>+g~Ev^NuUe{{+=3=-LwQNCX
zm2a8{$IrjzIXj&^>sg?L9d@M6sbB`~jecKAZB;e+UF%*RH_xz9pxRr%ULdFfpj;L?PIKOkd=
zD|h>lq7aMh=rCbH_A~acxDNCREzWrg&tYrn{-1WpK==4bon8RbX
z{uDXYe46f>Utpo`l~U7GHA-i@%^oS`>^FBkbA`ZV=4?yY$1@Wo1VKzRmwvS}d!Nyg
z7F@{A2Ic#gi;t=nPT`uk(Gq{_-fcJ
z>0^j#v@(_huY7@`aDY}~7_~z3ls#)r{ZnERDexBFSW-7o+WYjXVnZ+ub1
zp|KrLoc;G9)$Dq;_x9c3Cze{ye32hYXDjE0I88*L|3i~h#ibRNRPaiWk{WTj
zm{ANGVR|;*X5=GTj*}-1@HOxKek(z7E}7FF2{%$csz;ym(e$J@`;COvJOH2a1-VKV
zc#AAtxs5Kp1C8D{bvwdPayD%nK_N
z7b16?QmqT-$9y)^I{T2;3-)j|4;zx~z+9g-T7a|A{td#$8-Tb!uCQRBh84mOk6
zrc+3H5q^1x2JqYXovBFB6=5?>6QWIv;MCtoqHaXHAwZ@=qtOp7Jy)x#%F2(OQW)Gj
zYmC9fcpIYr_pH*3VnTb1GbgDug=bh+QV)7BPqid`A2!W
zW?#zcUF&hE)lUiKhAA8CR>Y&R!+~GC-;*dUVG#9
z&O*BK5ucWZ+)axcftt8p56$+>iTKe;qn?LvM@n_-XVq=03K7m6LoyD};^$Rm@7hTJ
zP107umivh4t@m@{`LCm=XQzCvGARNM#YqO+e#X>#`}p)BhgBEjh6PvTdP&JpW=rxc
zDw`V#ycuI-(h_%qs^p)5n}gn{_#J5`V6qfUpf0%N>SFET9@WE~(5pOd@t$<6=j@Jv
zN%iXpvxhT~
zH)fC_CNbJr*LV}elHlqmxlL;|Dv`tn2kHh)d>3D
z_VTQFvd8`U(YJ4XMp{~~Axzcph+t7H)33+J5I&ojquf7#_G=D)2+^7~%pQDlomzwX
zwlZo$J7ywh7Z#d_Q_H~Gb(~U-1h)^;ZJS2~cT^n$$X})=A$Nasxuz!=u6H_p|JO*$
zO6JukE10+-Wrgj>)kixEm-w*!9?H5*L^nNl7TfsHF@igMwm?*`5Ux;>*ayl2zL-l
zAO8gYQhMX&M+Gg_$J+Z+wKFX&xINvO(nu-M8rByO$HsW;qo1s14XN~BQdf?^sWcEC
z@5s2OJ{&(fSzgVjKqT$so2Da~k`SK{r^$4T%-Ev~u{kKw{?F{%*4YIXvt
z{G9DUB2OWY0~W3x#|fj}Eids=XS3j4F1{P{o{Qh>RMWUvHP(VFh>XRQ9_k%n5@y(5n(ZqI_4EUEG?8mTmQt8y|b{T7qW`?tUng
zu2&WBjQ4^Mz0;^UtFMhy()?AYjy0Pw8bkA2j+PU3K8W^c=Fy9KSljEaF6LHHu+SSL
zsOCZ|;_N-2VY1uN^>(B7
zZ!s}QM)$o5;jZsF&!@D>aA-=VTiHZ_u6;_wngzht2tydR#d6J_S{DLd38p#NY~gudzZ46_O$)%)PjZw{tn1!YyRETh<1-TNH&
zeP{bm^=7eC4F`(_!EMO(OntBq73Pz_dEvpn+``TcUkUPMO!nt=Pv?)@b(>y)TR*L%
z8yOV06n5B1vtRk+$iTn~&oy_I-}aEd`F;vfdp~8@rtf2yKFC0JoLHJGs*dR=B14rp
zngq|LBOmgS9Z{T<}ouvwkrL43D
z-;AUy7=VZo6@SYVM#^=vo8}NR<>qs?(NQ(x39hK*>U{H*Z|iQML;?*Bk^F|pN^)P3
zlSLmkzDI`mumkzKWp8r^(JMH#i%~k{8AG6T#*)12+quHpN*xZfsy9Cq`dI@2N{hPj
zbc{!Ikc;Qlu@T(94HKipa5s5J9h?=H!E~M*n)l_B1g11-s$MzCSm~{TI>G97|Gys|
z65jB1?#`XQiIp-w#gen#Q`D3>!)kU>D{9`nO1x5onH)$OVVzCzAIr9Ly@i(G++Gt~
z_unjk|Ixc9?AqJT4d!%~eBo;q@+DKkD{Dj@)c1XlH9|US6jAl*^%g4)`*bbFz}*@<
zi&zT@NzxxKl!>wH+=j(Kfdl>sCPe*g`Fn4@Q3zM+ru0pl^v3gul)oM#B#cJ=
zbo<{gV?0;c$lW>bDc^O+^YrfS3X86izv+Aj+;iqg>Ju*F3?$gy%lRWG*9~7Y-+&~~
z2hZ(tmFU42Q$$jG$N`+J_|Cy`BhqR-XFecbDRq3VLhw`OZ(0uL#|uQwy#QL-sc4c)
zWAJ^Q%~d}rIZ=X5;i_s^GO3EDgl&VZQrU{!Cf-HYq}fmzvmB1UJY(F=?mbI1Lc3ee
z(N=g=36*@hJTQBLdoSFjH2YgQi3J|d1HuaxJQD7q=WH^Xx>gKa)IhR8srM^&)d9CM
zD?J6thPUgbT{~40_YH+U)Tz?&Fy?q)HyPixNr3O2|Tj8hX~=B%x}xZQ6{Yxy7+5i
zGy1~72l{$S000Q|06xl?ZK-3;ZT!~z0FO4*v`T*W6~G_WWZyCByMK(6DXZ(%L8&Y*
z>qAKsjE*D8j88rn&0JO0dW2~?8RDR(Dpj)P2GfW!{|50x-()Z3G(;*=QBn;%`Ib!O
zC?%T#9#Ru_m|x%LId=FFwB5m?0=lWGx!h~i;JP@ugw|&@B%##WXNayhI&00cU_aT7
z?>4HF5ss`-L)jDc{
zFtzx`eoQ;%_ut28JcUD^kuestsXkR`tXavWGY*uu5&efwI@5l#X?(3e6A8p@~t+-UoxzTNd&=AQ@pFem?-x3p_m;JkaGP}MMY$=H~oSw~tnZO2Ksk2j2A~?<;A>G`qU%^8*2pGr1&_qCPu55E0Eetf{H!&%8sE1*
zQl-^M!<6bDVxA&H!MTt7sh7ainh$=1+E23gN&kM@
zsq02)g3zkNYcb1VY$$$L3r@68*qdsbc297|2f&^9p-%8$r`%u74Xip|e=wUZUtzkw
z@~XwO+F)JEQ|oQ5O_yWAZ0eMbb9LsohYR9g7mMgjptlU`IM|3YB4pnV$w!LvlRq$!
zzq-+|clH44@X(xF?b#6Hj8Aos+
zP7a9h*9N|WRUx`(Hkp;J=JqoWMXG2&={%}eI>Wy6-r!AWDdy9R;)-|5KCfN+lFJ6|
z1XulhKvQb-yXLE=*m?g1Rfq@6h-5c=ytXk%7TUxT8Ywt-87@S!_j>7iOh9o<2!-!b
zc;;LvDT&QmNzca)_psn^e+3;{bvZk^U((WW9;lSvTA2`2n8=wK8%-DDdObx0V6xhG
zGC|ug_T$X@lDKSrxxJ`xv~44L5&H5)l+O%LfS~K*zCJ;i6@%(re#1Ks
z2>dLT2Y9)Q#S`a967a4+(Bb0F39kJLsTqn%1l?%SlY+b52%I16
zDBgZs4~fOB$Hope(r|`7cicIZN~sgd1c76b_14+7pASbWM0!>q!1?#l?UA)YQiBd)
zSO&tN>gxf5Kb0px^EP4X1w$n-yD_pV1QU@XA6B`45MZ2O)b|M2kFsWW1i_hfaMnVFWU289(;
zQwY%HXq7T+`n-tLilc-Dx>;EzMAWUYBL-!w6m-
z@~4V~3OE^h>;~$aWVL5AZ@Kmgw`7Bh@!mlG
zu4*s%*K5j_%~}JzAZ^AkxQ`K=Dv_ENg3Hql?3CGWbMzZm=~L|eCo5YVlQ{J59
zI53%UAAa5QJ%+{1qXnBiW=CUUpe6{I|IpTAk(>x&*bt2lkaRlhex?Pz+t&05c#k^X
z?MPJL%d>8drxdx0q(;|o%60D>8<_`pLBT1oiR0n5Gx_pSNu{*u_)X-3+y;Hr7C_BA
zd>}EPoShOj-P$&6GB(m_^qzQVWLp|{2T_bPk((j&ZGJ_`0tEorQS~wMv3udHXVsv1
zZArj@nT@HBnuj9j9~tOi3LuFJKChnI(Nh@I^*meUn~fW+-#gy=@ooVelXNOG
zMU`+uzuo=BWAq*Q%diYJxZkDDMz4PB|10lHyrF#GxThpasEClI43aJT&Xg>Jq3pZL
z7Q-k+b|v-A5=Qo{S;LTRvMbrQv1eEIUB&v}KY^QNznXZwQ?u#RRC=o|IQ*r9ORRQbveVN$!eF9k=$}h$OjWaAi9Wu|
zi@U~dV0hfu^?(3smA&A!jQ%0M4Z~~%kYeNE!3xRagU*k#TAF;ejlF5@N4{Gb?t7PU
z9P8RJ&KCM>qc-aleJv|a;)vDPDu5Ojh)xpnFmW;AOXiX4g7q8#bUG#P{)ui-f*d
zMqi7-GU)+|qcd>%NKp%vh#%qqSwt}pb#J^@uI2oAC*BgnV^lrz!eB;v`t-*Z*4x;j
z37PZfAuuE_Lj+xL<+P09bDP#^$MU5+5#vy9ZS>imSeAwR;)k?t}uRn3pI|tSE^51lmPin~FB&oo~CQhXzF
zdBGv8$aAD$+g6pDt=&)AZ@v~3l(ckA8Y3VLVxZYT9T47r3-*Gm4KGb?%|86`g4P%O
z3a6XV&q@+xaF@N$5L}mKA++Q!`>?>s9ov=fFIxE-i#@lW2gI`fMP2D6H*d9X!I;%J
z=$Q%)fTM=(T|8^f;5dCxKsLT0cGhekoiAEaaDJL^ZAJOan~kWU^z{1mp@*f?
z7BoKRal;`Bc5zL+9?6=
zo;-Uvlx3{iXP6#|F3|IR=wQv{AqCVi%yA>U@=PpRLvrnCGTv>#Ok%eQ2s2=S!6#Q7
zT>$LiHb)z5vS%(-bHDp_&BwvpgQ*7g+pOFMQod|qxnZtirl9rQs=a+oKE3qE!OZmu!c%&6GCK+a{+4RBU-
ztZh|&13!#qZo^*!N$Qc4mei&F>Q|w{f-|H1{7gDpLoRuj*?IqkwzWa&3w-5*r48{4
z?{V|8;BfU07ck^16JrauqF0O*P$3
zld&5>QTp+7bLSaw+YY_nR@kQD0TO$dBpeK=>oIqU1+Q!td-yH4@w8-yVI#%?p@zh1@ts1%&ZfeH80(zFB%g6)xm1V7Ut`RC&fj7gxTn1wek%><8Atb96IuiJ9
z&q8A+P@3e6-oU$ZGJ6hZy}I5Jv3L=#K=sV$XIelBNQ)*NqrNw2MOvFt%|)(1R-lC%ze9k-mGD;+0ObZ$87h6G_+N#$dazvv
zySWei2+(_Godf@%lc>O5evRmt4~kP&uC|B1Cgxvn7{gyt%G47#wGnK9$qVn@_(2zc
z)4hA#54;S@G4d@jFbS$M?|f0LF!7l4=Sws%Og>P^)&xwx8un?R7HfU5!z5f}#x(TD
z;|3itoc;WZwYqz$M=05QK$Xrq2!L*!1&Bcz;<~P$Wnq5HCcG-;-V+=y_O*RG*dz=a
zyX4dCyY_nDS{Qm*NOlX*auU5x{yWyfSDI+^K5^!WUc{r%b65b-3^DwZ3P*hbKjBu*3gF3Ch15*jT2~M$CNMI1dyJqKzm1*6yzpzd7lVu57-#XOL`nU7vHbu5M=)
z=hX`zBXk4?2Yz0X#Xeaakv{f$A%|guE&Zs9-C!MMAbZ4BUY)ru(mpI+VOnBR^w(k2
zdv1ErSlu-??X!xBChd(Hm*>a2E1B@23~K~I+u!^5CNSVw`42q+>&X2jf7aTyKe07<
z>79-7>Xaw72P%-%*S4(f(HCFIKgSzb)#1P6q1Y{NWZQCA-`3&qW+xq=!Qls5Q0Jc9
z2%Wq<7w*a5@34n8-5=fdjvgO2h75f_{E6LK{5KCJ=EA|`r`8F`Om~-wEi8KXT5C{^
zuG}pvB4^$Ff1TkPKJ5SH4CAN+QVt*Nd!KiRoG+rIP85hW{})2RZ$Jk}2m!CCljsnV
zeraKe%7LMs{0&gkJm#3_v{jr^
zFg^WIP_;d}GVGjirKeYRfJG#++^qnqa7y8?0KjnQOZ|y&JM2N1y5hXww%Rmpvd)y>
z!&FRSX5ZZ?U2F$7Uv(8hG76Ah^n))&j866TkjoGNW%YJ4y{nc6Y=U|Bdw*3HI-68)
z_pP%0MjV?0kX$1ZFMSzhuBK%!^pKaD!=hI~{80|LuFABpfzHwe_b!Ca7`sgowB(&L
zpdirhX^J7(?K=6zuUsS<<(XfL>gfD9gx;(<8BRsZs`#1y?%$t0{;7i#@eM}6somJWV#S#`fG
zVB~GuY>|xsdzt-qJjOF+tK!?P1}jWO93}sm$
zRe8d|W!Z+?O@<2$vosepZxbFbv~p8|k+@ElD`h)$5c$4bNWb-*IEMW*kg@&vO|=smsbCACKDiWp`
zF_z7B8X=*V<85=Y{>S5#o{sZulUmKL?QajXYRITUZIWq`OvX&6X5FND@Fg_>xDFbL
z^qI>@-OXtvwMIfIk(t9)g*)P{^ctQwb;}?SiOZyH;E4$~^_q;o#dmRbaQ~tCekhh{
zL3WaCF-mCWgyls!oVP~)VAO;;qTe}+tR4LjI>~?@(N3FE5o&A
zPkIe^_G`O9$7c+BHCG`Z5QzP;0Dq+Ze5R)YZv3Z&58ByjFWoW#;>`BA$8l&41hO@3_DDn?hDf<@v?~$#9altKJuNeN}W>^&_IYjllrTySiQ)D331o
zX{Be4-gpabKCHxa0PEK8X!a;Tu@ms_!CN(?k*%By%(c!&i{&CDOt1SZWC~>-1{EJI
z2Z}du)3(6Cz17OnO$KiP4_pt1mf62T6YV6}kYMznqp^b%3keD2#^+*gh-tFbl?YBa
z`o1hquO@0#TAHKztbmFVoiidFisU{AXo7u
zH@Xt@(SE%8P{^%jZK4M(D_P)Gbp~qUrSI6@>wN_$Va#Cp%i#^SyQ{AafW7^v{0h6$
z$Y{cATWv^TTgD}Kyjr^qiz8k%4sCgH(UddRZTIqAX&L26S+RQeZ8(A<(Y^Xp7(pTw
z?V@yc1`H2lz3ci4qeRu(-;ZS+b0drn8T9w`m5{Qs$`*u#gF?EArWGpnc;(tkZfD1?
zMi7=JcG*@2UAA#%HT=0Kn)Oy6>uz57#h;JY%k$__nr$P1lyjPGY1~|wP$dq_&a5&-
zkG(@Bo*DK;W2%a+--N^|h;;~M(<2D_`}h~Vk;-KAoqyWQADM>p&(w)tL_x&`+|xX^hWrzpee2#+=STJ~6Z`=c
za9qo`%^tdEy5p(vhn8c6jS7NO`;s@s|ti~4nV*wLGez#86IBb?4+*+1AxC;6tsKx{5KUTa(
zs0U&GDK*c>F+Ag4YEU2{
ztqI(Adi+@2wkVu|?B#CUfdojZ8S|4}n_?vdkPJ75)(G~f52&GAeai|kbG9H9l?Z=u
zPlxDdtmJBk)fDTjuYy9>j+`N()kM^LA|h&ZB}7RfVthmi-}ZfR9@t2z+rfI5;6R_k
zl0LZ_E1$$=v!G>zOHX1Q$6pXZc=fgls|VK~_z3KZz)SAM$T}UC8alE{R8RaK4%L#W
z)Ye6_)xbJ2mo4sH4Sqt%Y!ydTf+ZSz~r
zaikasuUB6S!N#JBc_8qv$3L?seV$nQ)D;{sb75=cm8S8h2lOF3Sdie$oK;^H27VGdF<=QyK
zI!fc2ql$_oe#6+bfj*NgcO7f}>3%C}$DExW%2?(Dcsw?jc=c>9wR_`{XiPLMvL-W$
zwp=&rlitCL25kSDnhK&<*_wzn-#QG
zp8HdiYi6?k@a*In$kqQ&4z9DEXf=J~pN%h^P;Dl2bB>d8u6f+|_iqh{$PEbF&6DB6
zpddj+RQ<^mUMPXHN6<;SVY)HKGK65-E&aWGUOOk?#sC^n>_q6Pp_Ywl}``
z<(g!;$0+~&frg9Y^Z6$c`J#hEZ2jMlj#!hbqz6G|O8e=cr9|J*9ohDW(Aic!RG%Uk
zAyz)jsQq0m3b_dIgjFa96ykTXLjP&K%H;L^nZ2za>bC|Wgp83F2hM-XAX_2)8_eh8
zy#?7IcH0CW=&$14$msIj&QHlTHs3cYoBLI(#jalHA0yOd8`B61fJ&&-2i3a{`dF#k
zFi|?Z^D%EVRy+(dO3-=@&Mv@N$dXIJlfW2{yZS)bE{p``o5?CMgmcfxDHd|0L*Wx=
zji>JLnVam?pxw{TlKK@NCxk;_s;q>QRqhd89k%4KUoR5dz^Yu>WMA6EA_A7(1
zIh=40j@{a%a0@1S>;8?7@g>}7@&eq2j*%2ZdYGxprrKL(DLg@rizq;
zmd1M$Q-Sz{b={z#qn2G51b5ua0ca*L@Cy~CDvZ-SBfN~6>TVwSFtsSk;#ABs0SyFE>^d$;RPui
ze=y7BP9T?IS2EV;rtNRCnU{y{?I`9b{N6b6BD?ySK~!XqB@tvVEw#IEl4Ot)-LWtg
z)@Zt?`$cHw)$=Yx>7hjfVsu(2@gI*cL7i*HTP;IAHmBLt{o*IC=n5BoQ-v)}iBNKw
z<8ih=FhpkbOv-2QoQDSMe-duc3J=?k*I)nrqmvXedR!O))YgEL91d$*eqYO4b5;`8W-=ZG-oFL>#{QlskPXcfrb!Dy
zljg|rh92m2wnPOL5AkSk8HKS@MpE{U^*Jg7ftc_u30Si=&>cimnRN=gOwu9COKS
z9osyk_a&j_gXO{i`e>8QqS10F^`RyYF5#d3s4fGa$1L0IIh^JxtK|ccE+oX{Z8!IW
zmcqLrzKS0|AX_{z{cqqW+bi#f9hiaDkBP>^hq@!GGx{A-^Ymyc#KR3vIM0Z^;bpPI
z$i_y93+c%sRnQFMM#4gL6pmur@TWGVO0oGbvQ<+Y3RLVBc3<|GsVy-=x{0mc!AIo|
zHkI_6FgwcJ34lhD&4!I%Im}lt`eHpEH6Jz`lEBQ5J0t+S$sdexy%F2we~88B<-WgzViuVMW}R5o`We6Kfvz4KZXEP*#f}{uTR?eimea
z++x18kI>T?joem}|7Ujb*4epJx^4{hEQ&38L^S6w#zJX_>#$fnaU)-mbN3XLbRz7qsD7pux&^$V2J&G(F3^%arJ~PKFT;U0_K0{w3?NjU6zLh$T`&3n!clAgT=iBh^)EQV1
zpCIMBIK#lLN}fz&&LH^omt%!+m~RlU$v}`_LeSTb
zu7f3SnB|oMl5m8IKO7rm?irdLBYq>G)2xYkG|E)C?+0fXrM>(Lg?_66-0#46xYYsp
zRXT9i`S}~f*}Gd=SzaxF($%clk8Fsco^O#5MluSqt=~T?ShA55^QbM-ZlrYQ;1d3i
zi-*h4`{_3WT_2w#wNVDOW6%P!mt7=Kvsz%_y44A7m;BGxwYgX$C7<$a9s~MthQ0Mm
z5hG3H71+}ggT&7V^SyZ8E5e6wH~c~j#tgHGGNMsIx{6!s|MPH9o;|sckY`TwBnm~m
zuHgZDZ`(RP$?ymY8-JN%Qa7TxW5P6Zj#^hK$d$ty1xYx)AZv2M7$d>E!Im1XMe}Gx
z^g-G=4c6#ECHL-b6%;+>Wd_O+ZHW
zjF@6KT(x6dGv3le3&o`VM~PzT+f75q18;X1J&UXTXFWtuSH+@xJ@5L}-oXc?a?SS>
zxQos%2(5HGb9%P5vx*mSO;R4YOm8YWa=t*YrJpDph(}d(I`yS?s>w|E2^#e~
zVY#q%_K3=*93fe<d~L&pS_#TpBvcXIBnaHASHArfh#sf4Ikn1x8)S2Ajp3fIH8N
zE}%8k#=cm1)^iL)@tL%HJr|d_DJ(SejAR^m^3#eBjwxHZ^Wowl
zG&Uh^CKV)2Fn242kD=`&rUYV;+RsXxc}uyG`jcvv373{n`4~q3;7iv;ia}Ra0k;p@
z_&K^+ex@6a_P(u1rh)x=AD*vL4ezEv4RK-_g&l-L`+hmy8s_<;xG5V!S#{=Q%aE&&
z|4vg+&&>3D>pZcvXJcK=_~rz9K0SexcuFOuiF5R+3~?HU$m9z4h?UvB`L9pJ+Sb^r
zc+GUoC@S%E^(_R1BX*38g-9Y(V>11pvYy-p$j1EueZ3orvC|f#@op4l$Xs;`4rT%F
zqD;^?f61W?E8~>G7-4r`Gzmf5RI13hXs0*we2a=jQjPL|1Kb4Y{-r)-ajdVz-+Op=
zt9Bd8kVqGG&Dq6NkBHI$t&lc5-d-_M&?DIHZ-xU4mXQ)C52*Pqk!on*R4%e1KD)R3
z`-3cA_EA1fI)*E6<$jV(H;dlyCXZfMmrBiab`1$YA90JWatdWDVHl%Jxu1%z8z9oS
z&729Lonxata8Kd?t%qG$po&Y{XRh|o6K#o~2zKannb%w1>rXH;&B`i_H@UyO|Kb|5
z$Q)~D*&Z6(T-+{`8=k|-?|_f#(=jvO(ew45Ix)Y&D-n{Oi7?9GBzDQ8L!M(RRjvnz
zfj`%a9l5&5;r<@rg$tr8uErpFGsr_qG%LC0W#OGAeX~Tb5F7W7`Adw_xk4Gk
zyFcSug{N#o=59hwkx{z39yyll2CfSuOv
zEm;f2&zYhRajdfVD`+a&-!iBn*8=Aa#Z%!4qZY1lOBoB>c$d~VyZ}U^#4kJVx1@5n
zp0_$9<>FN^GO=+4>~45bX=vp?32DFMrGm_cmSB*U2q4yNKN?$Q;9m9Z4ZU$H6C0
zaBH0!yxW!_C8LKXk{RYW;p%a;+^EFM>ze%la{>J^N(b2;fjWvdfZEJAv=@ynx7mBq
zo!R^1Pmug+6TSgluV>02bB-TQB0aZN+*p@NDQfPOv&@eo-Nhd2fQ0$EwZxwj#a|tY
z2wm-25RdE!2RCeYaeW<~F;$6KUlTo5qZQ81m2l2PCeWNO$NHmE)QdoPq3X*rKXINM
z@c5r16%TR`DF}}2ty7Jh&cUw{wkTr|?r6$uWwAshMe7L6ThLwT4`ubWur{Uv@dq*A
zRWkmfpf`6tVY-{2Yv26-hVEBo%w_ZPBI2$YQ_^R{?8pwCEklVpqhA-w`Wsl~o}aPh
zWcjBQ>vOFogZrwa6jn;0=&Ogua}Z6v5jtln>idy=YOm+lBW&@muwUmb7$Gt%iQRL}
zFl`mQ@EiB>&4IBa$nF_GuHfr2+6NDQzUr|S1IqEr-sjBnOBZxDe{p0%Gg~hK6xURz
z#HwR;%aK(aW!QgHn#n9oqy-^ASYWjh`GKGT+4ux@JxIW!7|KHY2OP?u**IyF%<){*
z4Sy6}vn&a3R4dN}L2)kXr8=7{kmdQd&MR_3X=JXDGs}RYZtljuwh&xy?@&@|H(cx)HxOhG#dyY8V%wLtwktfW$4FL9yr?@X
z@!t3u-0!{`xRWP%bIU;IfQ_lcavUWqDwJ|m1bg^V`W=_{`VkaJSodk?>T;h!3bMTh
z)u}6f0XN#N^_27rv{jD?nzNRW7sQyYlOz2p*$k@Xp>TwIzgI{}6i-B2)QA^boiKhg
z_I8haBBe2P=cVd7K|>B)CtW)`B*?C%*Is1Ry2$99LHAYnw57YVQH^Nght>$_=z&X$BuaiO%GY&>otm>OS)?Rls9cErL4rj>3AELDP$teA+pEwdrtz_5zcpXNhFGJ!Z7B
zq-Sh9N6NY9W4$KyTz_D~;J8$O;!tmzr#CtpTDBPe!OI0D56BW`hHoM~3d%KNIpbec
zY}I;{BGSICS^ZU6sSzV1fz{l8uvo)o>w+{qaBYdJ;e;Rj!M&~3(2dBc#vJ~~mm|)M}NiBO1M1OMQf@8(Cwns7xBJv>)_wo&dMLCxhgtt
z&p*%DaVN=qtM69rfk!91tai|bEST)P)N;Ih;?xi{JH2|Lw8Cw)+<>6A+NO~Cw{Qx-
z@e<4>;>Pcp0vng=k?GD^fgQQtNnGjpTyxd=Y>qr{83{
zc}i3WMQ6^*F4*7LRnfwzp?eD_n|>!6M=?5sYsSrhK%)yMmOmK_j1s1x^qlbdsIEvu
zL7XEv^Np{f+DWc=Se_Z-k6yDEh{;+V)~rZhb3@{Ldxm>&!35}9*{igIHsqOLIDZY#
zaWd`o*HCzNKFF=u4)tI*wmbAd_o8zms_xNXKduswfMc@`u4QK?FI75A
zW+PPXGO!v?DKJ+oZZ3)SUhHQ&uhyK2PRsB)!u|WB998u!IiFWNbmK080_}l7f10A9
zNZ>r5t61WaX`_))>il$lo|<5bq6YWvdpf>JtM^upzwgXDMf>4b_#gFNrZ
zd%!YZyzMQXzMtL?^O1CMnLH$Ou6NOD-J&GpkK+!diq?{gPK%sM#K+CgvdC;jDeLb!
zLuQpSWu4ecMkGW;cjNnIJH02SHj^sXCCyFcAH~lCl6OJ#5$N8%nXZa$FXw9a-dk(G
zO0K#;;42jS4S7RqKUnBH2dCEf>~m?M_o~7QGjomIf!#t+eu4{60oR4EwLdLZ(ntmmf?lsrf
z$R>7h`A-CGc=|^LlPQm(VOgOlHwQp0eN|fweBmRMo@3WRb$7;{>m5pBXZz24Iu`2O
zD>jkJ=X*?KVq^8AMe-2~ThMs42=}fwIw{hq+UJ$mfWQcf6507UE+|vWJaWhzp~|nR
zD&1TTwSfC1d|FM|Zo;`mW7xq~9~^J>#K!&q$QG=fT$N|e+6s=ykGVtKHe6BT0p|YW
GH~$AXApYq9

diff --git a/dev/articles/a2_tidymodels_additions_files/figure-html/profile-1.png b/dev/articles/a2_tidymodels_additions_files/figure-html/profile-1.png
index ca54b6283f65b60280b318ca89a0cdca6968d8c9..fd7a93a98e14026fb459b8fdec0126bbf28d704f 100644
GIT binary patch
literal 73626
zcmeFZbx>8&_Xm0|-H3oRD5#Xu-Aaj+baP3OM!N4+5s+?>6p(I^Zjg}fE@`-Q_k9Py
zzweuQ@#lMQ-pqS@hB+7J&N+Lpz4m8))@QB5w|7di_&Ag}007|2y^&G{05muNpaNJJ
z;9vBcsqw%IhKana6nF*4rDQz}ykI-L(QyI*nt=NsNch^JIRHEcJY<%XyC?8pP(m6cvt2!
zdT*qB^e^|%@eF}M^hHLNQBm!cOhbBnmgqPnThFTJFYoRWrp?^yxsf8VZVKcgJE-0T
z-k}2TZ1%RTb#MF$s3&zQUdjbGkxQ2yDU{^c!0}NJGb~kuUHYQjRoI-n$R#2~>2m!#8h>kF_$q
zGm%?U9j-*(9!=Dpqge1;oCcI7X9=Rt$#4!%3P37*B*2MpS}uE!Jj{8U)sbS`v_-4F^dfH
zeIY`RHTDbHHgpiGccr!a$L0C)-;vsC%_cGLxlg$|i@P{{K4nG}EQ(6Ye=vXO!nc5d
ziucS7PhPbw-ub^p5W4)Xc10|Z`qcKb5UE`1@MNyIs|BQ@y;Iq2ctAv?a%h73z+C3!
zHk(|F?_$zmghK!HU3$ez)Nm&*>0O2n&=u4Z-$8Zd*s?f5d!%`1IykTfV|UID41D|5
z63+)!B~(2BqFk00){up)<%d72fa@^O(`V4PVLbjEG_bd4yFe=Lw$R|^qeeiJn4N8b
z{uqk-pjLG59XU*U6Dn?D?XWiBy%8UzSMH8-r-9!*`_7gl(Gg#f*UTUf=$(!
zo?ftRJ=s`L?=~JM@;)gr_vy=4nSJ0&{2?!*X|E}}gzSYRXgl>^Q-IU~Whz=TL6F_7
zzcEk`@m{$}^qTnk^n?UX%)pH2M+cm|I9nVsaYdg__ml!3`NLrL@Hw2{_!RY|9&{Gu
zrdOqBEsGuIJ6lGvw`1-vmh2mUuuk14;*kbNpf&i&Y3=*+;QrnqW%tZg+U
zFqh}TpU5ehgmWsMl8A`t*>8-;j)nClmmh(_-+d(di2}TlPB4PvIXX(g1}q8Km`$2i
zq{$l-diu{=`5BDuL4RMHe+>)_45FfgWa9n7kZ9%<%EJ2j)&M#ygxex4y|()x8MlL4
zyE=KFXuJr=w1O-ZIX_ozQsU*Ij@|b`6w}1}9Xc6~0|q=3(!$ZN)4}su$G9g);B?2p
z$$dEFtXDxYb04klM^m=Tr}>M7NO<$@i$Ft+*lGwR;P3*@PrCVeNk#JYx$B-`<7~=Y
z!PsOKU!bQL-li(x1o#14n!GSI!G~6`lPv4=P&d}gTZNX-I<^+>ueB}tPf{T*fOFDo
zKAfMGtWy_r?h{bxXdOULN3z7FZO#W6CE@rMF)XC5o2b_~vPuHlJejt|mP?LUDDQXx
zfoWfaIg{s;tDh+09-^sxU9JW+eXC{j-tk(lM`}p=*`Bi-$2$r)1#Cji1}%+6NcSvc
z48VGIK&EmT&Ak4lvN8J3nLRFG{*U!Xme2%xdU_UR?=vqHoQv61z`@RJW`*;;Se3PT
zNv65=tQgQSNI!}rGE8IRY3-bN$yiORAu6YtyZj!gNG{YuZ!Vywv~=~1Z2BP6b(qb0
zqH3l~!tZj%d#hzM;U7&zFpv4hCu6NIVzSv~Kd1@bY|9F-ZmGj%^Ia{8B)M$Judm+v
zG*$Z#&p24d=M7rd5m7}9bZf-1C1van^W9ued0|gGP;@AiMV{#_mO%7rzia-;6rMVH
zlG8gmS*-Wesu0y7@ylwsI$pTN
zMRh06x30TNge8i6d)u-oM#9_vWlFeC5ul*6kjl!dDB?sK&)GoGDBChFhcylyY)*6G%!qecu=dEP;i|-zjKb9oG`UaH;2w4X
z$v8&MLB3-=uXAK38Ax@oA79zUa-R{>A?=kW=n^XbnvD+Gg@j&UV5L4nl`p_x$&nHx
ze0==)A}=Kmejb}oS77GU1ezF4H{=IwQw-pAqhJ|&lFjGW5ZmR7P8C{gl&Qk|PEcBE
zP<4C|#hv-^%48x6=^0a$JlQ;DYwqNmmo)!T;mzwol-$t7TYiZ+iuY^Skt;sk1(k4b
z^obN<*Y~Hl3qIrGy#giDIesQVfq@@Tm=1Aqdpc`qA;Ef&KC?TY^4(e}B+gX9RMcRz
z^OIxIO(oc|p0H~dlpA-O*rOGYPT=RomD>-)b^|LR%6^Tp@?NfN$olBPiVrffv6gt!
zK18GYuINcAcdFLCJ5?9nG0J?GJ#n+)@M(lMWs6{>R!H4jnx4H|!E)g`R>-e@YOrycrJlS
zTI@e=ZkGbxzO_B?SU}IFDhN3+PjW4xRY@^JbC17CUx&%h^RjL^Le*TNvJ5_LX}wEqJq&4!}xk4p*KW
zpFPn)^ae(U$w=3KQM7(?p<)*Hx+D$eh)~fnJB(28ewahH0XXdZj5lFp(s;T-mVo{u
z?IFE#r;^o(>>`TOY`FintxAO}O|q(oN99-+>Ld7=v>C!GIxAa7|m&lOmhrSfq_fyj;#ZTJ1w=Rp-
zO+nYpO)i53QtOE1oIY*mff4h2S!ltIxv|N*Bf1KZl%fWrf84#wf60BjQ>(-6Rb6{~
z851`Z8A-w&^=$0Ptt>zqX-VYmFk7`2=KpGM&)~ATY<47xt0!woR__a|Tef`FJ%foY
z8$Je-mwYO>4gQRf9dToyWac&f3@ffg;Y{fWTF#F_kY2{u2u=!KN{jQH4pl>_-^A|)
z-o%B{M+nMh7Ez^15%JZ!{zf`}_
zRb}J~yHnk~iE0$5G)UjpLHZ{5QZm3|IK*WXVXZ4pOdIK|?V}sQg*UkN9gi`&$5c2G
z3Mm!mDtgYfck%H}8)Cj&p3^bY`)$xt?37$`lt6mW8-i?H*H*k6Y9B;T&WkAeGcx1G(ZJ6VKATJc
zTNtf)FNF?uiE>rAjQz{y>`rp^Em!C73d@2vf9#@mH(8zOksfCwE@OqH9-YJ
zBFwpg6BQbqN-`cUWLWhf=KXzyixuVrh}w*uELs-%sLydQZzZ3Ma$HHTHXDUL-9cueafh4v0A_IC_7Zt{$TS&$pS>UYyBhY85l26~JU03&UP@*o
zeiAcWkikrf9K0umO=;eC0aL<@}S{pnNLk!@uQ;+NX0%NVmd|J6jeDHc#hU
zHR_X}78lqGk7r)-p>_(BdOm`WLa2kK+Dohz7)Iw97L;G9kGi_+gdAyzWyw5=h06@S
zxsjgaG3k93`H}j=)b+y#Q-k+`+xmbg!K3+@OB#ox$3GO${5Ed5_mUefFKfDzaIU_e
ze8b~EbsR&|{^)pfAw3y0J$yY%97ZwE_Oe8$ag>Ma1A?iYi>I$fs3b}yQ~T}LBH8Jg
z7;s%5^6&=PSvq$%Ho(Jy=;ICb(zN(
z!3kG|uW3Is!!~C|r}oWSJ9ym&u_;pNK&Aqhh@5t*V|s28W%xucAd_9@k}WMNbN$co
z7ZR(HCxvT;H57zsH@1=W?8{WVnK_wFXOG&G9%=S|ykyV)wK|1yR&n@
z^z-^r;RtRkvjsVubdn73x5_*5m@2#SF>hC{vOb^Ynq+5Q|1MVJSql`-+)_7`OWO`~
z*$+-7D4^y{)O#f!EkGs8q=rIGMzd#J5~=9pgD!XdIY=YS9IFGHb9C8bzEOj$xS`w-
z7Pbv-TjLUGW;&VL6o$VR`*U$<#=E+<>EyR1Ef;#D9dv*Gd5B6OflIt1#rWuY;y&|R
zD2?K-#WpIfgb#4U*)&q)Uw2VcZf@1Gk-)Bf8=Gw_9@h_qqEjrqR(t%FC2fRZLwaA8
z)I&(FE^3>MA@wQ*%_kz}%z}krP0JrcimOp=sP>4Jo$=vhGlRLO??+Q;hyCcgmt|s9
zjQ@@(DR@L93w|?*hoxlp8?zc;ah#pelej4^8Md$l*5GR^eef-v2jcr^gLi%m1K54G!=o~9EY_LyWbK5D
zp;WTHZ+5uWe=^XSGOt?nPz;l0GAar#A4bGH>fg+Loe?%1ZCgy;`@o&evklHUTSOXf
z;<1*0SNm$^ijfQd)S@ggq02}z+kU@>E7l^5Tf}gPeR=|y0<*+`CGvf$x{#~DO$6sGnB9dVri2}<`<}m7X
z*0v$9?PwHO;+yNt?ex}UDYJz3B5G5xb;4H=6ATfZ?@E+}dfcFi3;=@`uEw}
z)lpe#V|vH*@YXWHqeJt}ZmmUPS>C>e`U%VBmO^|+hI~_XblO(H^*IEth>hZ?4-WMX(?@|QH3>_s%X6*(I!nOGiEcP
zy^O`&?>L%sW=mywMtN^8^Kg8LRZ2BZYSCSlk5jT=gP86Z$UNR|#G1003bknV&%a^K
z(iXe?bx#nY~l#jWV^+kx_rnddl#?S#YS^2Pdu_?i4glgu2Arc&z=n
ztNmL&Yft^ThaKcRLmU;iG+|mse$5Z~HyDe}UWC8p1J#_s9%^udc{5TIW*0hsYbeFx
zjuk^gYwie+vcMREW#XIlyTQz|tAM1J5jv3KFjL-
zZ9n~DOC9x84U*Q+3>tiq?5eC-=N!E8EA?rhRRD
zqy-B1M88{NIH(RaNhn@-;NNL>xsimdk5YM_d{*025TYNh<=z+K6QK`(oKI|uE>>wf
zd-T_=m*k3j?e*kdr;hDC$IH43v~!KUtJN^JOvD@vkrT)qy8vyuVav
zcXxcHh?w4rx8tO|L9pp+SKRG>TX;Es)FXZC^u=W(Lxh~yy4VeR%C43IeKe>GWu-NB
z+R?wf$eu62BxYBcd&~Q88z}-lF;30}ulC4v=9CN;%zY(Bh0XETfP$<(gM?UMH^x`CGDcA_Wt~^yuRrara8sIDdEbnir7O0l
zl9%M_rD49dnrBR0k?y$$Txp>uJdAgEM@nYDW$!z-l_=~*wU2c%*-SI^+-pLPBP0iW
z>Um=RBHfu^s)yq_FRc3Nru4{oX_Hu_>0mnF^Vyj(uapn`(6ozA)`5&f3&^D@KG?N7
zsD{0NYIaj@u^%+KbL-w-xYOTFilHhL*Y_FLOyT|{QUgC#L-~$nu^`BWMQA01g
z?UZ8F|0x}S4M4Bua%zkG*do4R1#HY#h~PB3)U>%-w=5F;z<*u{Ny$jPb-%d?y6uJ1
ziS3174zL3uegsA5o(0XpWlH>1jZZA`t^yuNBz?=(o6>O5aI;tQ7UvC%HMulnq2_bL
zxUoINx1jwo59AXOBw@#cbqHUfr|DFwbB$M_eN`+oq+=TRcV{U$-p{zS(tD*!3r9}q
zRhu;RUh~2qIC~qkh~*d`KRP5IL=kwKUhUQRcXs96lm|VPoO(na9!K)^-Oyl++Pw;$
zS7K@Kf<6hN?e>}p#p=xld`r4z(SPYf?YCRLRDpC8r0h8%&H3w2Q?XcM3Y3@cKWxwR
zHeBcLOF8$#O)AsZxAWh=YO!~*=QculQ1CP*)<7;+D-5xCVY>yryK1vMPquZJ)Z>_N
z7sO>DG}7L^9V5t1sn;g-%ciZvX`ORcPZ57c`X8JPhe!76_6?1-%cCzJObXTV@|+$l
zo3(pyNDeOW1}L@*&`D&-V4_a2mrux>CujP_8eW<`sp>1#$~WzYpf_zDl5^L4CTW^2
zTo6B*p|G*yR7l1!a++CX`bTs
zTWa#N*reBFq3n0PC3s$*6Cq%rPDER;2LxyphrW+6m&{EzAI{dfNiQCfUT@?sRh{HP
zfB+KhaZ;Oxw!O?^ycnhbBnb-;sp1NDU3+a2>)V&<5w)sl@qhqfiwbauu_Tv!(|Hnd
zV}jTlXMdtSw1Wav?STt1n4gIT#i&O4v6|QExIpqJ20CTRYSkBXWOyh7Xh!^K>@6`g
z5*Hs26O>&*p?tFcZ$kA6zb)oL)qVVH=V1>>#D|xW59t8Ur!U=!BOXh+Nv>I!~g82>17r3Fmw0M!od5yvwLdfdO44(#Mer!H!-IqZtQo7=1i32Ti?-h`f
zm!G~PQ1j~)Na9fwaF;k94+brND(x2imtX3|AKS)hQJ_dzIE+ieuTZ&l2Z;{#(=&nr
zP}L=90SaYyX;`M-14;PYbC=qSdj?7q1}tl_;aB{IuBhu>i1%*Ze~2lYRHYUn9S;F+
zAcW~a1dXaA2D9KQTf6~VUQ$ABJ2viz>bHCLhdvKN+*^9UcLi4WSy6FC&+Vg*di|b=S|}U9q2M$Tcc~j0WkET%%DXA0t8*EZ|&u~PZisB
z=oK>q2Y!cmfS;(q#-V}YAeoS|tSa4OF%=3o1N@6w;U5=EMD}kE=`gwGwQwYX3!p_^
z`8%I;JsCJj-5d3M*)|TJypfnrPNR_ML7tDR?051n&pw@$sp6DD8`cJ<4fdB0&jNLkc`ekb?_x_Psz+8#0ir*HjMCZ+JxM0veym4A;_ABp
zhx-zP_kE}Sz;3_g!%FzwILB$m)WD7y3NZDH>I>kxJK2b9r8~&?JGa-#{|~Rw^c4d;
znE-=&)c@&yBp!`dv2&5yS2Gg27szb$iz6dZmEwFFN-lMPLE72@23eWh65AAW39uy;bFYG1B)~Q
zLMh_fI;71-S2GhjCX|z}`+^}L)N{b?a&K5x3$zz2oGurmZTV*t-ds@VPibXdCYIUN
zd4_}+m{7neu?!!m31Nsbh4<;qB}vdv=I3xc}Q
zpWapVqrC9@(O6KurJJ+%_q~4Hm#pmn_5zs8WEsD|7FHnU$8vZAKyQ3$_Pd$CZ7*g}
z*gCb-&OHt)0Fu#`kUy?6iO#AI^J$11>MUlhwH)d-)qB-SJL~F&pHi)G5Zcf
zlOKxfDoWbUzEvBhb;EXnNU>pEY#6Q(y6XFa^-5GQ4Uzqji%TD!F_Hq=Z1%@su`2{M
zww#>mE&J(JW@5WeSd)o()c(UDWJ71usMBlLjTh$}XFcp^zV{zF%SEl$RnK%&yEe5OWaL=vU7js+Zgn%nznk?%Ro{PL_}bHaf46Gbk%ALkR-dhuC$Y0(MYyqu+P
zN%EE(bv5{2ws!tx-1P1&N-B$-yjoW$*fu{@^YFR2fI@0SbZ{U8R2)9%^|~AQjY_1u
z%ttPA_Pay)E|s=9Z5&m=o2p&nhM;SMUM(EE4wy=(7{{v>m;z@qag^~+ECXmjf49{Y
zoJLXUs7!qK)LhW;yth5i_c$q;M(VhpAmn09g8uMaXB4=t8Dv~!@jfd$tt_g@SS%^f
zL*NGV2N-QuF|bEr%#QU1eMG(V_zdD*OT
zzbBPOzWQ{n@sYGmRn6QlztEPKQUf(s4Q~_+a3?8Ml7hglrH6Z6ck8a!ijATHE_<8e
zzKUa^t8D_lju7{C%{zqk3>$D@=ry9gboIvLYc_51JHi3h@fBp}$74tAC2zzKJ`O&dB?e
zD{U^YKmpB){{`gap_d~XJ>9q8CSa91sB~Kp;6wF{ETGxLy+dy)U~wO8iBJmLag&IH
za6lwT7Ef6AP~W`_8vOb?H7`=gp0d*;BXizz;$>p(Uxmq|IJn*+G;j*@EyLY0&Gn&b
z3UT>MH-3&Y$C3wS@kyp7b7+sL8;ifFv9Ll+A#jTwDY23sgDovy&hTO2o=0qc6jJ8g
z8fbbzgH30Lb`Zt;40aDu^hft8Iw8=94vccJ&D_`DE_hd$DaDiaX*^~(&hFM2jEJSa
z8m9_fwLJgHs5PrHTmjaHTy@k6Oc%KE2Pb!CZ_WrQ(x(px#b;=gk#s|jDqyZy4X|kr
z!_W`JhqtP1^~6HTh#zEBS6b2$plo93#-ZIfA@MfpbM*ploVo7?J
zWUbBN#cEl`JKsmfH@8}`;5l*WrXPpIZ*ujZ7##yO+3v*@*_Wr?3{Vswdkg63hu+)g
zEmGo!Xeap~B=4ellSoK!I+zo~>9S^A^Aj9cMtw*v$Y}?+QtFFocc~qSAGEQFRJto6
zX4@ECb3XYu5w`5Fkh$JRy!SRW-|ZO>S2P>@az1v(I^}0xlV;ccD1eQRM#_0Li{bui
z5M4^EAR^z*>BkS?wMm_Bv>3OZFmp0%M!o>)mt5f8g9&y+T=kQ-Vx!~sNOXS4bJvwW
zAYo)X^E=c6INH~RAqb?t1MB?`N^Et&7EHt;j2mbw&<5w$dei1~{rbUc
z!99slKye+REAG_qvd9QTr9OeK3;SRnX$
zba=Y8Y7xJN!fJ5-!WgN`gRrxyuyrk9+9a#J_HciL+ipH2^k$MjXRatdtA$1R`n9%$
z@(Edl_RDPl{_xsb+fQ>mu0&+LLkFAl-Z&x?^TOb7yN3p$?11~I;RnME9y`#u!Te`M
zyNbUq!nN=={MvSO{lNQ&e?`#?^+g|~O1nX%?b8nAM?5NREG+baxzjulQRnJrZ}
zGh*skj=!`aw>SrNVcD^`kzT8UH}6h#|9W}UJmo>XyK3cFxgiC}hU7Z5GP^0!9C?U8
zrjJJvz--CW;};q)|w-B5dI!Vi9->Io8Ecd
z;c8hvS8MB%;2&?{O@mjl1s#F3M2~fQ61s^=j|1yHO#;Or9rR_(jG6??d=y%y4B?ky
z@spl9DEZ#0mXT+wpQwjl8UNZ7?Ptfh*$s$X7j(`cxiBq1XK7rwM$IP0z~Jd%*U1Q~
zvOw3y>yWcsWhI(iZibf;a@>tF`#ZfB=`{4{886d9D`K7;uRcbi+zCeRHjzrS5e2}p
zJwq_uLsfqtQAFGA1rIFs(18?n|I_Kk-{zSLLVSw!^Jmv#Q3V3jljmX7!8_1NUX?`hG?3$M{=`WG`VwK^y`
z)Twhu@~8LsF$hXAabN*aKP-HzSNKTzO&QWI!{YWmb#TUrg+89Zr0uuIGT>r}iK_kx
z#;rHu*I`0dC!f1XR>os$KkNE*=B@4|wiaEmtM8zOz!-y;lOF_>X{9>4?BFNKaJU3L
zB5rZDZs%gu==tXU&mMh8q|tl(xWn(dE4cUw*JJbcw*Tl*hpl+Y7E7P8gME{MvQV6`
z`2oh7$92&!s{I0ZExSUNi6%ccEG#zR1i|FfMnvt_7ESRx;#>WXN0G0xrIt2p$H3LF
z`}N5uv1(6D=!|ZJHU4u7Y)D``Yui(-
z17QVW6TC$Kz#~XU%!Etpx($K5_(0V5^+M8%ml5>>)Pv_?`oXKA;c!Lrm)RLblJGS^
zM2!H?5M|Y(`wbvLULuu9rO3NbR%yS+FkO_}@nCAu59JF^?E)fFkrdOX#CGO<&UlFx
zr=GaxYUZp!>XeLab)oVm$=H-`N32om9qv-?YM#cA-3_yf6a~4dYpbVFS|dKV-=J$a
z*V^10sF!kcgVW>5OIGs9Wj@h=o?KO*@v?O*X+pUZn|p9^dG)z;5Yha#aFYjc=9&FC*{gfGhWVQ0@a1fl%H{6t)(
zLX0b4Lnzxa+a}A66^Y95w^1WjGj(j+eW&`*$b_=JC_ab&7VguO2oHzw$%Pmku^^Jh
zS@!z|FNoTrg|b-m$@C1hTy@FZ>V&UbTmMwIMH9pgkrlKTeq*=k9v6P0H+C96J&lVjIMcKg4tq*wCKNnLrUZ=O?
zHa2Ysq+>CKTqANyk|J|W5wEE$xFdUg3?H>h4LG0k-sybm+WE8cT%#w`Wt1;D!SRXS
z?TJgyB&h17>{jvb8j9vhU;<1hS67KuxFav40|~Y^xqn1jFcIqr?50vmh{anOw99Nd
ztim{X%)30mQ()y#;Ry>^Za=MZiKqcxmN!_{mNtxX$VY=$6&J1Mq
zTyct~B5&zT#Ed=DXYG0QSv{C)$cP=|*XXfJo1esM;D0TCTP{sha`>gsiISD>W2NQd
z(HDTWI{O#%lD#Rd}?9r-#2w(?A47VHu*
zA`CsZI{ii)D};JwiO!}zZjUk*u{+U7yAu4jw3ZrdB7OsAJoBZpz9QoluygzBMFBLR
zcj&Lj$MtmPrqX?$@J(Tjr(@%@7rWg;3nJN8i>s)TXF084%VSl6i0)-gtbOd&R#8_w
zt5%S|-PdtrEmekqgT(5Qt3~yj(F_V2WqVNO_GCM@H`i~%8xMd;v`y*m+h2b;l~`lv
z+tu@Rpb!%Asr-^t(4!lIU;Uj7rB){$h5_)Fm9;Kj<-KB7t;%0t)XD$Zo{4AV
zfdIXjoFJvY9;lJoIog8c%fx1td(m#9H-G7b4CCh37@#G(GzRnZP!{D2*uB5hpiwnS
zawGXBc_v|GLGoPv77ZeuOpc6@UbRFZXaf&vm>ns=jdYOw%y
zv+4DvphjTmo)>~3qQw*<4yZ0Jr5z)MzNl1_O&|I6DKSE?lidJCj-+eN9rRU^5PSm*
zP+!wn6C5QMqCTj$Y+1|(+xyxLI}AT9l)zb`Z)s;M%e9_NhV(}&d$nC45ba&~GF4P3
zgkM<{_kAUQ>3z~85qjxKGh6kN?okMVn(t>UT8dt`dS==c4V6o5paiQannnC<#eNWg
zGcDLsN|sDtk`r9a`cqlW-p%jcph{@%k0+_i*h`;bm)iZX+LSQ!(C{Fb_;XBzRhJx7
zL?!ekH0enVBUe$xzDDB0ZDjeW|4%JxnSB)E)@`s8iP@{pO+Nd&N6~H?GIu#v?bEc@ylYB%0
z%i531B0*!YmNVNmU3SZoI0-hVNv31$sBo#be|I6F>?pbzwAew-qCkEX$*%iW)-@&n
zjI7JBo|;vv^htT~4;Ygf37VAWuEVuQTIq<|4jev+BuSDbnH&pYlb?W9Md
z0DP%o}1@Fj@fX_X$<=6~u@0|Xkq+DW=$>V)dP
zwhgm;1boHZMR7B?)5Vf~L4$3@)N*)1o3+_J?OT&sbn+atm@O91$x{bIZ%{KBFV3LY
zOP@%-rE>T6xJjNm1o0FfpKJ1MX>Zv4@zXFfx3C|*YB1}G+iG%*7QUXxb~9ywUAk5q
zh9x_1ibq`O>?~@bTNJ{rMrH$2dX)9QX;S>{<+ze}ZsVEVxwUdD|KVY&@A4&Af%baw
z`24W&&;Q0kU+*nc@oX}@@h{Q78{jP@9fi96YJQ@T^@?lI-j2jn6yhGbEG0;tvr=2e
zzMWlEbQX9soI2;?;J9}BZA1e-2S(r;u$FBsMxHS1>+GHAO;<7cr%TKNbqMVrWP)uc
z8vZ&SC?u0@R(LbmMrfeoXz{p4KE1b5qrJ-&g9`b_H`Q~l3jE;i@OF)v-tl|m{4UT2
z5TI_NAHZ>%KID%DD2sTj-5lv%#S>n9iQRbR^7XcNz*u-NJa^kdFc>Nl7O#A6;!z_!
z<(+A~%p+m1vVa*0~w=5d%&e8^YFX-`#GVp9xo}BHXaTMV*vpN57=(4?KtZQ=pi!=pHmI$GR)Cd4rHR;2ku`pD1A1y$;<0~
zz8Mnn-GDL0gWr+B$i=;f{ZR}wM3l05MD$Fk!}GONnE(zs_+CyJFZedj&xo(^!-994
zLwl)>llVYORNgr)ulv~0XGq09U+$D7Zf{B5d7)=f#HCBmNkY5?lm>`B@MBWmhZ@7O5G+{5H1E^o>BlXfo|H$-K>
z-J)yyhA}(KFj;8t2bC;5>t&23m?&5-(E9BYWiLWNBDNk>R@n2o8hrgMqudBMn1;;IPA^+*@_asF9_~Q+kf^vU5ek*tA%?H~$6L
z-xe68AzFxvd=6*<0%#Jr-=Ab)!%xGyeG0Xtey_ltUKCJ+uVWFB7IYWoieoyIMo>IS
zl+fM}oa^$GmJ%Tl=qd*{3`Gn`0}gl!<1V@&-Z&D^;0UA2zLGa(H`9PGnh|56g-06t
z0jc)jg-kv5gj18TSBjM~;p}Yaz+gR4`1REL;0e$O?4cdRkz8_QOvLw{o?Y+DA1t)H
zrqVO!e0809V<@SDpsNxebXNyzh%`NW~98iQAvN9*`iwhg?+GRq7}!%Ygb
zi2r)W^a4T1>*o2~4
zhbwj9YF_eS$*{|hM=j^Zv5OpV+(;cAl{k0I2P$!FO&%-L#%f}ko8D5y3E?8ny~426
zFB)2?n`jP7V+}&rr<~d}-OmOe9i#zbRQ#~i+d7Jt%TlF=$dkiCYDQ0t%UM8-f`5?E
zsPgveAzUwNm3f}KpH^5gBe=~OaXeLmm4kR=##QJj$Y5pob50zkU~W`2a{Mzz~`
zhBz+m;WS*W-6w?9ytKRR-I;t1Tmv?!4(emqWHTkbzzv^tQ~6QnI6qAexz$In#uejS
zJMs0@{m%F@s-Ut3$n<36H}(C8%rl;+MJa^+0hZpscTd9tB=~%N_ePNYt@*)ahKhd2
zI&3TANk`ZAK=1CUFG>qx#sW7mhq?4Yo3l)KyHUaPvF=YiF<{B{ciis7YZq>~{qL9Y
z1wM{w^9Q>nlBPXPrRo7c509aJt%<>h0zeG%l2;W|6Xn8q&WqMeQ#0ln*r#mHT$q5p
z8TxfVmZ!2f$8i`qSu9nGnuX|NFO`(CMGOSE@XOuEam+C8o~L~|UE7k=Zq8Nw!VhNC%M-RkK(>wNcdl)DjCEhIw4>{N;G$;Xf|
zEzSwy9|GHkWs~*lLB)oxF@mLM9>ed3AHel_08-ON7Jni1)ha{jRr!nmdV}oh0@V=)3gwkTXHzDQ`MaU
zHUZErjrxw078AZK@Mx7`-4|=gP8(mBouLXwmt!uiW1>7G6*G`mN{QD7pp^Q4$3-Ro
zG%h%c&K#G5wHJ4C2iyG?E24x(!Cy|jvA-$*aGQn21G#U@
zcd8%uQGGh?B>`@PAEwnXT>t8Pb;neuTIeRRH7Q!XZNLJqLoMhue+;4C;N1nQJGv$=
zWS{rd4&`XB-hdJyg57wkO_mUH>&TuvVg8PC9^Wi?YM=+9J%kdrt-%2{ZDlyq({PI=
z)AyG|_k}z2c;lJ~M+Eyy+p&tW1~;UjBRI2jjOO1{Evn3Y*D0*fmP(aJss-^hJC&xI
zg}dRm)^$VRYEeJsTzmJ$uJ?|Zecgrg^Bvs;^EO0DR
zJ9H#Pt}r*Vw^_{@5ForSYyp^3#6S`GRFc`9@3p;4kh$ee(51iwo#MH0boNI=sKgZ4
z|0bD9@$@S8sR=adGSVL%b&D!l)N&#GoK(B{aZT-j$wTJzTjr65Wg}5c)rM-aiLXPe
zPxl$?Pxs-nv3LJ~Uxey^&UN%1{9LQpzY3_1UqWY_e=NH{)
zK{FU`B1!-dZ)itY{pRZ7yvL5bx}&9bObkXc4JaNhcGgvST2VJy`ikmLxd~$Lge$_eB<+8ARb9KX-*At&dOkNT7&=8z*=ZVzFSkNJqKpN%T7bE-?jI)k^J@K%
z_l>6s@%E99
z;URA#yX&b7EyUn=XveHTvNaN^`d){XdV1_33c^6D2|*L#GoSR~wD_m@-!ud#X2
z!1}{P!LzePN3pcEk%!mzd~2B6;!#qx2yfOx_ND!=<0>vU4gw}Azy8|`uv05i^$6Xv
ziCKG7WcAhm%w08-DfN*dJ&PvQZgU#o;QaX<37KHR`6eZ#W`n`e)gdBHt3xSwbhn}U
zqM%g98+a(5=7R^<&{<`6j8`o0%Hyj1b9bHh6pWtUnI$IK?=1
zXz#;!5DQWTZtBVZwQFe34cf%KSQn%QyM?$^=J70HLFRh(@2tVKGTs!`8ODxc@^Dm%
z%QR@-n|ro1GL5=qQEDgZgV$nN%9e
z?}&r~`>$T`4>
zPabr%6j^h_FC1>FGO}?l{{pa;A(5gcvVZ#i_pA68nCqv2aez_?rC5ft0~e{c$RM;{
zoWfzehcBsa>zM3n&ChO>pXzL+sTLwuRFI6S=mn^&QoUjX)^D`Y9n3$Q(^V}B^V;3%
zd_-WkdTL%DJ@s%f!GY7r9bIYx)iX#KQ)@Z<%)SrXpCg7jgPMHEr?Kco9@&s2FpsQ@kubdz553NCiJd7hcfXJx4OO
zo|S)tJocf`2g_(#X!~m>X$t?iQ(^VoV9D0Dgj8L5#>XX)?XUiRr9DUpdo=Mb&se)U
z>5jWl?`QQhC<)Heaj8)C^`kH&+xccg-sJ<`WJ41I%hk&GXceiv)N_U7z%Ybwv64D_xbayEwjg&Of
zoznHjuljp$z554ivDVDK=j{F2dG^^e4sC4M5;?L~88s+zFMBI6Hyy03+-&2x$Wz3C
zD5EYt`&0@@e0IyrHR{*qPupel^b;+YzW?$l{ic`I;cat8e>Ruyq2aLxK
zXC9!rpD*}u_-$A$WX_%q2Xp_~cuQ(ZFf6}s;ccRYFk}rhlM(~4AtL{
z1Vkux7R@WZKl2q4SmH3J7z~=~p!5_!t^$%nL#HZ?+PoWto;lwk%bnAMuU(ZQnr*jek;GhqF=Z@{!%}+G`%vIcRlQ&hZ|V4lk4#
z^q=!~{%L&rWpghTbNXVDJk4Kyh4S$TkcA`S5wTu4IZDc_&C3e?vv8a2pA_Qne|%)b
z@(GEs}f1$2u$v8aeUIl%A>mA>jLCfsZhYU&wa-e*3umEgzk4KnK@;uY`BUJrWe
z=kgomU`3c;s0(NhS$ZwAVGRX!E%FXC@1t(GpelNz6S@#1($Y{&qI3
zJT`wdWS9%!G@x(+89F*h>e#xJE1+(AM!Uvntu$4Hba#yO>-%0v1d_W`K@~#>n$M}YwF_{p`#5xP(6X5I)`$p8zk*=_ta?MsrlScXk>WR{5MNUXT6NGxW>b0h@!O;rWr
zMncaSQ`Q`fGOd&?J|b^|ukOTsy6Ps}2>saxPX6f$L2LkJ>p=1mW9dOrJdvLS0U;QI
zdgs-
z?Sih{nE^e^zPl(~0XFbCMHsB2BIJ
zz0p^0dv%HOp$Nsq0zKi5M`90V#>r^nK&AK0)Hy1dUawUt*_5%*KNLb>8li|UCq1De
zbMNTw_ij50X-19Gwq@u!)J&njDwLdvvU!aZg*-)uw)e#zgU*lnNjiTAn_2v31L?}2
zB|<{AEhm5MLfC5bZ(0Zs-)Nq=`%)(jd@4)MtuCus^S$f26ZEaKVA|^b`j|3pe7oto
zuTVCFc7RK`Eu!lS9J8nMr=ol2_LD9${3{}+1N6pi=w@h`Qqcml!VSfN=t5M
zhbIBm1VH;`TzTR&$#6&6!Taz4Lw6bgxwZO#Aquz;WCur`087%~
z`KN2>uQQ69B3UV0XijR(@SEvlecyQYZ?z%ZOzl$^8T%Kl&7r-{;y39TVn<|y@@HYV
zU+A<~Uial}-UouMWJlCLm2+o&r`os#5#4Ib8)`;LHk3RX|3!eeBA=>z?t{hm&(tP%
z%9?n9cvb6l5ZkAzS90U_N`sq^n`)|rSA?N}C&>3DNjl$-sbj%93&n=I126`2DlADK
z5w}LfCJTlUnpD%VI7X!j6gJrMg;?9RPi`#n>Cv0eP?>{^GzM5D03(f1@X3>4kdWz6V_hz&#d@ope5vd%5Q
z5Xg#H!Ho5mO-9@j!7VvaY#6@I<>vQD)ypUkTn06_Tegyj8x!;>x2s)Mdb~e76r6lr
zR=jn9%hqL2Lyrq5f|<$_z0(dzw8;c%
zA#Fo9eO))zOk}2^D+}~yuIa*mw*0@p>Mzh6MIgTo**-0;s<^auSV|2@gdBn;E@SJm
z^i-vFH`UghkP?G%2Gs=<@)Wg{Bd+jEe6v{jlDoT~YR});hT3iv!UQN&R53hbl(54(
zdGq_rV?UxkYpj^u0NFF-xe`33pI*Lvw^MM{`|mruKg1W{Y%uU2&7T$u8IyzJ)67N0
z1N?U!kx==lbxG3V3`x@MyQO=|k3x!!R4
zdeB$Z_w4$&_rzX+2XY(VZKm|$uHn4@`)P)k&jI%j&>;{&@SI6D$ET848P}_9<9o4N
z+j5K?`X3`hooiDCOrq4NuOqvFfzH)3sXBw2`%^`L2cVKgGb8^;tcXhw*bOp$$B=(M
z$H8FVQRfQ=5Qzx)i2f+Dv~bQg77SrX{eKtB4_AcekgMrPJ$z0|z?Zk!
z8>l{f@XP-8uA5rcS|H{u8~Tv{|B%(UpK-5aLle(ncVf1C|FCIqyOdm*VXG^M0>E3@
zmzuwsE>h2%25p~42K{C34Ie9LF9>Eyus?z!;wr*gEsSdsoWN%|h#q6K`~R3bVhSos
zkai~qidHzOT*mzURT^z|2J;bG?f-u{{pfzil5C6ca3`?r`)=T4Xd87SA%K6Ambej&
zaS|r+m(BPrPay3%ru)@6uy`v6{J1(+yC7rjcXkc?*ewAv_wvrFt(VefdcvbA7#QmJ
zGOM*#9XJDeK}8-8W-F%V-PDMGRY<+|a|2#jo$W)9Dw>N#T4<|d`B%qzUhbW^-xhf0
zqAIXzP`1-u3<)rI9T_lQwmP#b^l-0fTV$F
znJBmk{a$v=oz|Zj(!=jVtGym`pnY)FM4ibttgLNV@o5PpxYa_e3;%aD|I=#>Z#X9u
z*kSB{k9r9;%j7y^}lKW!@eOVVROCu$PRsS2Ec|V4Uk*>lDfK=?ie(mhZ97_s?I%i}=nCZ8MitAb*9pZ5j~~;VX|q&MHgS
zwE7~-Gu`!71wG$~6=DKKmk^$3*PMntqJ*sQkoqCFDhfECuoP5|d4~~cAnVuU=s02J
z|JLAISYs{3L-B~sAOE}v-Hm*-a`$KWLz@(5FOLP?#&rHO3%&wcSb^#U-Bw=tMX{2S
zJaPdoN%YsbeED1tTs`2gUQi2ix9u`H8_CG(B+!4b?6v}NzUa095h0f7Q>PM~dSaFk
ze-MVUa@l(Nd9TL74uZb%?4W2Qe~Oy>MLTIl_jJ`=kc^okRk%I8jnjqA?BD%L8|(>$
zfNsBfrok%C7Ymzan9|kosR*Vi1Qsal=uG-HUZqf#@1&d05`NN(wt;b%HiwP|$NkfAPiC)$NyS}hM!eSi
zo9xO2jd^T^awn)#v2Ce*xzj?Lv3>({6VxfW(TWYyCTmHV?el71RJ*2vE^4tY!(Vlc
zsm%t_r`Gck~4N9mvCy}(@3*xq(utQjNggeoNG}RsVa+W>o7q>
z@_ijIRL)LIrS&EntdBgu=p@*Yqgy
zu~EtIu)ViCq-{1m-?+bT3FY$x?{OovR(Xz=pF&P5EC@;<5gHZ%s0-pv2HpGhMK^qc2`}czX
z=3W>!KIM%(ELE%@*GTB)qSNe4*BRpABrqXlK-2c->r$I0iuW)k{otb}zm@x(XC_U;
z6jGSOOH)-bv{?+HMy8PnKy*}!@9RXQu?sXmyWD5}DA@pe!^j?91?%6%myeZ{pX%t)
z$A-vf;+&U|h-G_WpP+Her9}$uh-9W9+i@nSx$2QzM8A-eQR*t>WJa*_KFIUb3m^x>
z2P9eQS4ya(H1EP|etp}=lVCMwo_R
zOM=(?y2eqnn(!7&sqX>DmZio!wZg}CM~4OyOAPRYhNWY0m_n*3^fF
zao6vEWGmFf?KVxgCS`H^#NDI7UhG8XsTF-dzm)UPk^uaSIZU8s$~p8Hx3X5*qAWLf
zbLKYm5De_nP_y?8yg?$>IkrQj5>LFgP5&9N+{R)(7uc-=cFc0(64^d+4#Z9(bz-=2
z4nV_)r%TF4Ub!=KAAO%RF`zAvQ}R|W-(J}&LN#AbOpZ^y3MUW)s>fE)G`1$|OX@7N
z`Z<+i=shCv4~RvBZ{Bw59xP@Ru0|oSV|McEMFrOyUXE=J7=30xl~MLyO>XJMC|MTa
z9o!$L_@I;aNtkn=N6MQ$)(F+t3VyF_7mqT=^~QoyEqSnHeM
zA5@($gG+g!_GNpeWkRi=qqw|_8vZ#UZe$xO(+lUhWXJArgoM}F-;m<4OnnD0+v^EO
zDF90~2g32}VECMubeMs??t!+dOD(E^qoeOuk}fBiXH00W_@s(%ye)va7a;5bK6TxT
zqFCF0Sux-E(2TOhd*1m&TK%8tw}IGXe8YP^ByG-t(+ST&2j&FjUIVy3LVdjL@Rj6&
z2bI-E*_PO|PSW)=#Ehg(SDDRH?$5td7y9mnB>Lo2&To39~qi(AA$D&hh&%}2+&sgVv_;0f4qSq<4p-Ie{j>XM
z->fPWk>nqUy~kr_(GoQ9EOM*7EzTS$L~tW$fEPgA3
zyG(u7LAdxsOqWYJw)`LX)~NvkD1iytDFIi*W=u$xFX1T}D(BWbMfLbMKQ6kGL>8&O
z`sJ;~UN!Mi@FUaHtPD@k`X?NML(rSHN2#KWQG
z_f7e$VK~_{vlxwj^<3|dU^x_aDB%PYVwwka;H^vp970l9%q-9NR3{?peE2%zOGrMU
z^uHiT58CvLFk|`Li3CYP9csZrI(j`ykz4T(Vnt|7TMMGycAg&sR5aczXqDN0`FBAnPGFi>YrWoBlAD+L;^9zrNa
zHtZ>W-0X(Mxm%&Wc>?)lBbxX;=`Hvs39A2-znR)&e@PWJe=PchNcuhIU;cA%Pa40z
z4?`ACnELTe*1cM?9Rnt56p>G%;1-0d7f-W@x4j9jpRaD;ETs;+u?HB9KBJ#0%mj~f
zMX$baG~Rr|1uoSzMbOd-Ghc4D-S-GwXbEMw_{*kTkWxkSfPs3#o6j__Yrnie+#iR$
zkR3gms3GqxRP!y672{#gdRbv4wtj-dVq<awJ%QL->u+Do9Jy|F0TiMI{y
z*DNI$F9<~NA~XToUaB|nahFuhhTTav(YGTka#>Ss5vJ1bG5*SVl74%CR;6szzfs!*
zl}a<4Uj?BLEPoL2lXSe*!M;qpMn_ugqR1%iX1(I(z;&%dU-!dY9AtvPn-$^)ih}KB
zO3hE3>Y2h*uiI3G8as3RxlBQQx+bm%s+>jA_^j*^22$<56%e7bx)QF#x-%$hSNMyepw#->wjGMCPt%zi)*~n7VeLSKT;tuoQ-03;os8Z$iNr@#s~yc$zTrLUbl9pT
zPOG8$`a$Op{piKfk6|~se=T&;pqbrynP!8glx`x3qW
z^|e&y@(9cPOch51J|UVqq=zmd$4{xdWoA`s0C$C;r1@+!KP>y|cd^1CCx-`)16
zj`$b$BWu?XVg{?CJ-28s8Ua27;@;^YHDKRq!)=ZdqeLv~_z<2@g2%UG#8nbMPwf3tP&{@*|jX4_&g-+&JoQR{jG
zoAl?}AC2mT6?i!{aQigYmmhXh%iWc%LKUr)`81!-A_FloQp-gYQtA|B4?bqf9`zPp
z>R=;t8#pA&SCEGL7b(CkJj^y&@-Ox7JQ+a`5CO&Q0N+=+4F&LzBtGNYE!V^cO-V%_
zk^EAM1@A@pehdGqLMZbz_454N{%iK0cgPQ{fz}Bm8yog?!z6FG3d4%d{#rp2ar`)F
zq%(10j8ATu2xvMTd0ZiE)aQ`|IFhJTEK8D|Y_Pl1>{uWOb-l?CUG`r#NYr;rEqWs9
z0%}(OrEba$Kl){L_U5&h5WD>}L})29Y&G(a=HPDa;i$rMfUQ4EK9qmA)&Hk4z^w2pxW-?a#nOD9K(+`f~|sofsHh5`MQS
zm^mjSz1RgFqpGwVOhWH-{oo^n^*b%u6+PQYTJQd#-RD(ehdPFzNf+Ob&tUdotQs|I
zDPmQp{Nkn)eef#VdviR?=G{A~(mrD3C=QM9dhZN_x&6eRUr}U#Z6Q)5Pt-Ke{|o5b9aggNgN#|@YIgPUbCOiDcnJ6*%uQ
zxz|(hX(Q-+^>N36vx+>q*avf6!P5@bKZSrWt(mUbW;m-sO#be~e&5$ALDol4OOs~_mu2#Bv6{vIHn}Tdy
zelSoE`Us)?=GP6P{Zo@e)i=COqi^aDhuAk-IP%iqVV$GFLcAfkqQ3`DSlgn=3Fw6K%KK{a5{R!8N!H*
z<4*k7!gAz7w2XWQ`BRRchYdwYb;*Hz!P}@f`acEV_KeANp!TvqWd9m;d`9zgt_iVP
zJV3z+HTOy$VK8dE(3!&HrGAtqE%h$%Uz^(e>gX;wFC#47N~Y2?UTUFfiU%|1{FxRde_;tk^WP=;u5kB>dC#Q`Kk&Yn5ERz;TJ^ioA
zn+zF2_k_ynss>MSfzrzZi2-2_R1>6r)FM{CF~0BApGxxiJIy4?il7T^2XzVEss3;-
zIFQe*LHeL=>R9s#!k7$g;x+v6FmL=nvf2Jbn#4U;`#?BW&F$Zdgj+P0YxiK2eoz?XBP$(>%$<2nozD)XnC;dxK?Gpx7PQuf6c#HVD
zO?8Sz73uf?Xi@Dqtxj{RnqLWlMbP4Ea9S*l=CeHsWR2aT7!?eBN0T`slroOf+@BSn
zqcq}=Jp$}a35zTcLip3r+JRbsLlJkT%U9I75}|(>x0{R~H_*hV@+1;AoRb%x9()Xo
z;|TC8zOGnG3s+c(`tk9B4`n3lF;?{UeB?Q4MjJWL;{*1msFH^8)bzeh%a|i2z;G
zb%K(g8w-7f&W&z^%)}I)Pl|TyfK#Da5#)XvirBO5FC2yYF>)}7-2XKPlZAgcC$-Iu
zb7mAEqWg4~1GxojOc&(Ug;|Brvpr6`0|C(BBeMZR@DL`sgpu|Gw8
z9)Feg!
z$f@)A{8YPgsb?C2bK!*yIfbCZX6I-d9}{_TxbL)Op=86N#nqn=(G@Xhq)jSRy18zH
zt*P01Rx849CW17@qI6+wgCqX~UVOeOw+gX^mjYPqTOe=h=8gb2VhCaB>b3mm;`Pea
z<>_83+=T$Vpl?o=Ix(m^y-mZ)s^c>jz{SCM@|SNzzIC-qqnaxw
zWB2(+IDj*B#YOV#ft;5>a};u1koQJ7J{`zg9pP;Rzc+Xjoeu%1DTHMqt~W;Nj{
z&iKmLKWUM>QcoZ$r?UKrPW+L?xgkKjh{|w9rjv{#_*%ABM}T+8)#
z*J62@={~;hE8q+Dd3I_J%z%l$hnH_K-H_sO_^)uXQRiO$ExZVRhG-eSzHcB;IVxGX
z1!4}Y`VrOrWCFHYF(2Zq*8>)-`V+jT+3FLcP8u6g#+X60GRvAe(7D^a!C{l8p~$cz
z>%RdpQacPTw(~4>Ha%)+H+f9#(U-)}1L^bOyd5-yZ|n2s~NwY#8+o$O;!-jxY(muX)Q`soILp(7p>
z)n53Hj@@I5_rQyjy_g-p10B{_&9$lnq()O)w}^31bUvU_^?`^8hCTDUyzo{NfAB5t4Q;>i<1%R6KUz>T=K(~5UKcX
zGONEAE$JsbZZ5-p(Od`%yGcEynDJ7ZkQL+L*yd*8>ts;j{2g8Girj9Q93_WcgCLaB
z*aDzMAGdl`>QN$Qe`WvErE?C&_?xg6F>gkMZ%ZXVcUiEb_N8b1i>f>pIWKAnsK1D0
z!blgT5JC!~m_Z~HZH4OEhGd6B@wwye&l
zJ)+N#88-_tE`8GX)~g`atdQgyt@J^_&7*g|S{OUrv0#$WJ^vUkn{2E_7)8OqmE$rf
zq>)ZuT3Un}6M^a;kE#JqT;kz-?f2oLnEU_w1>oi%u4itQrBOke$lE82dP~}fJz3rT
zS>NdkDn0UEw&q-(|zCwHC8
zHw=_Nc=~lur2!VwvyORSvC$%V|I^)K&95gzv0-7}axRtaqKz=(9RwIv^+-(+I$P~oA$SJ=z&^>o*jREC;0
zv>wnpi;4sprz6L+uKNy{&3=Z4*|>yV
z{a%<^w%v$3-gDt()Hj$A6eIK+Eb%H5KfxN?Edve1p-&|6z}3dIuIiJ$JF>Bay!~oT
zNLIdffmp9*8*Ed5DwMEdko7Vr=YF)|^Ef4tNPFZfs0?fhnreRGR2yBa@E5GTH=T=V
zO6>^S89+O!WpZ0?W8O4P2U=9d6wxTm5*GRYDaaS$iDr4YDQa{ZX9qSxGC`ehp1z=g
zY-t@^6!5JfcnNo6?f&BNaAf-Cn*CT7h!A$jqr)=RvMB$h!s+)h7=IzmE#0eOJ%MOh
zt>e>!I|oi@qaiM5lE0-#_{OSJGsDO=m4HhZpAeAWkt8DQ90dDuQXkgnD^WsYTvNG$
zg{F-}bfghSwde4;f{f)LD3)OOPm`q-pNj|2t>46T4bjB8LJ9MEX?cc0$Id{^*BO7G
zs+Zc2E6SK`em-9l?^qCE0y-BUaB~)((-Sh0*?i;0W!)vzYgQaC9WfC>Ifu7LW^4M}
zzM?!$_(h|A&j#qLzd?aJt?XM{sB#%%Y+1{ogi-K!Wd@W7jqdz#gu`R}-EeRdua6E>
zZr`-NehS-8#B?U*QtAOujsRo`>G+_$TWv)Xl=Q_lbI8zlw4SI?9!?$>09y_g2V=Lv
zMN}c8#+DqvB&4waS%(^1cdUn|i+(}(Y_5_+Ra*G8=C>biYdAZ4jscH;s#(~%V$=EY
z>wCV>$Gss-BQWf-hbe)I@~_TjoQ3a%wM1=1J8}Eu&t%^sS;2=7V43T~r}Dl%8Fz6l
zgSl*?+)ffWFDA0$+qGRI-5C$qaQc&Z@EfxPIe`Lh{>zE_*r9$#5D)McpTgS2jAT|0wm?ix
zMn_FG(FGR)y+KhH!L6C`y>sxeT{WUkoD3G=P_v1jSBPI7z1~q}5*)JJSuB)tC6=xR
z(Kh(z*EU@MKj2I~(khIw7cux-Kn7^KBG_v{IUEs^tO$f3!e4m|Ob661M0%U%BVsPa
zD>=>O$bcxn6xRU0l%1D=MT0^GC{Py=MvA>}!CxX7_OXCrD-h;wQBRXU(|q;;c^ZUx
z3Kw@>u5I|B+RxXgeYkh2UQ=$D!+%^ljhnZi{yOc@(OT_8T!ep>EDCJ9huWxN*cT)v
znKTzOkE7j1DuO;ealEC&BR(C@D$WOL*&+_@VOI)b4&Ho#<$04&G2mZp^zLe6?E3~A
z!c*0uy@KYP(i1%YmY(tu0uSb$_R@IFRbBL_HN1QRxVf&}yDUfpAH`1yi_S`i46f?(
zO^0h7HQph{KSsGxkgH2SHklJZwy19S3}2tU#5p8Yl*VV~VEc`{Uo<$^2L$15txIPjoDlJ4=qXHd%m$Oxl+I{EgyaSpTKcf4Tl`UyA#
zUA16SQ$t5fQl9a=y7zH9xi@T=9HT#Cg(SkJVZ<&8*y`r!p~QE5aea&kxyd-r7e(am
z7(L9QMP6}MyA(iI_LUlGD=%)~g2`o6xC)bjnvkr~^P);6?1$7(N2XTVS
zHa{ar~VGHF!HL7Q9+V)YXw{20+g9l)pvi_+SvM&fVi{Z8A9ab_OC
zPYN$zGl9EMAeq3-g3*>mBcn@(@knvnB-YByu%;&jIV47JN0oqwK=ryFPG;;Kopt)d
z{y_RyoY@JWVbB=Bk*H>Xz>!$V3yLE{{{GUt5!*H>7sck9bq;>qPFjuW%=x-{UW^r1
zOzCL_;8!|Ni`Fw9%E)=%Sh{PF>)v&>IrqFTO_a%?F{
ze#g_Ngy1q(GQL$h859pMVvCdm_0M=$k#Q}?q#-@8Y&!-I8*F}cA*P@fRw
z9cP>KDXiDQp92uhE$fcK!;Krzl$a(nmk+0D5%yF1niU%
z>8$%bh8Wp;uLvzw$f^S=w~JW(b{}YPT;bI4WpC%~PWfG)noJSDET=KU<_N4LnhZvV
zLNRt}FeP=yY%nCJv(+(DC#f6|@NoAySlUn(3ijB(+0DF{wI8#5_ONsN25p`V#H|_Uka8L$>F(AU?q#OKBEr8!^
z-Tdp)4VllJJ*?Kd*Lg5kjwuN16~|Vl2Y}~Gf?6#+^K2E*VK-1fadfh1*k8eFG81t%
zR5lNkdeRh;1*)G#f1bdaCK&-)fFX1@ZMA>ZqhZu9FK@%`w-Ivq9cX!xeho%7Ebk0A
zLjDQ%M4^tflf2=`V9CpL{=XSma|k6=%iWXjP4(j})BT62y`QpqIxz~|1$QW@-Id6jmi
zphl)j)J9Z2qDGtc2A~wxkbqX;$+BX3SMetTc^=l((yraPH?2k);U4y!Y6K@l+*x6p
z=V7Y`-|AB0)r0ZAGqDd4M(l2VO4o4vFvIXghsuog;T!qr5|YD9z|=+yw7T}jbHA_o
zSEhf0lJkQS+opu{8#S0MEZ$biRs|LQ8O=Ya5qY$EGVx3G&5no{kSJ2#=CIgaF`j&*jeAe@TQ$@=Fg#q^KH;Xjw&6RMJw
zc0I!Pz0y{e4Lu<(?HVbN-rwJRJ6NHG-t)fYj%X9bykk%12gRMUwKRhL?)S<9R*Xkx
zf#X{e4w^PxuJ25)TCW$yD!T3Be}=ED|3Ymw7QmNk8F(@U$55~_Qwm%1n!2+xp
zL4bis$d$iT2rHrmc!ASbDnS3(bw|kSan$`jL&(FJm71#s59U*fD&p8K=zNxMTzog0
zqpvkIvkEeVT@>(Il`oE~48BgpE}7BC%wnx=WQ^xkitUWGkOYxtTT%)r`_!kgdqXXq?+sSWi}FazU5;$s=G@?^qmC0%>Q}MF6$)oT
zyP6pVAzFBt&x&8t0NG4-WHaYiyF5>eN9bs$wM_hG_fm|qbu=_Vf?o-;iZ#bH2pG`#(BMqvHIFFyYGZ#IP`UXg5+=HrLMB}7}mAd;rFqdf3(I`Qlz1eLlf=Kh8)2Eo(S!`hhf
z+s~b~W%}VoF(gigvh*C{XNL26Ue7#Q)ljQ`IpppLNKaIUx6!A=#YoF=($y|jAdD$j)YEv_4SIBvx%Kk4ano==@~Djn
zH*)o=sx7uBa{7+!^4fU+sB|a0KI66MxamZ~BzZ8j9sDK=9$P%iT_GXjbx8}jZm@+`
z^(huY59m$DE^pv-MdO*4L8@#`nSC!
zqquIo5TazzB*YMnJ
zM)YDS7uky0x$y3Ap5KPE6!D(VN({tA(>gDUXSX)a-p^QApU$bbkr?hGuv5kLCZlWD7A^T$P}tFJ!XJ-Yzp+;&=VcDIBjv0Vwvw
zU~_rmJzYB?YlpxyOe{z4293?q^f^JovoBvGga`*ah(=l1z{XBe_qSH09E&UgvnTf#RY(IjvKS#@thT&FBdSX)1
zowT~c_xhg3&cH%vQVOXreNyW6Tg%vYM;|@*bmGfzjd!ySLgyd-&)5@A6v>MxEVfZ}Q=8dzBsl;npTT|Jm`f
zOlG>n%StBP)xMILwcW$C#@4|kZ~G_2=7O1{qKm)I@S5HI4o&;U4ZBQ_YmzP;Ct{y2
zJ#RkMUfF+Tg!Y|TGO?{Y(FscZ4pO#bsX&_SNSaZZYjZ!Nrt{I@OwZ2lw$<3*o*bTv
z-yYZ1arxZ2?B2$7F-^u?Y)R;(n8zIPN3(U3{m|w2>=1g0Yh6I3j&JRsRfHNLcg(e
zl!nWlKb0nV0bHZj@Ll8w5Lh~HE}o*7n|Og6E?8F=N{w9SuTbaBoI$`
z1lZUc7xWTM&>l2kH<5?!O3H*lT?m4l16(q$Gn{G#D=sQZu(}@WFH*IOr;-o#iOAd&
zp47cPjgWggdD
z4vNbFnYKxSj8Jn;!R`u+J@YyE&dkq0b6)?;N))bHd*!nau+BEzv=S+Y$l&AJ!@X|=
z&-$XrdGK@Gs1#>RgIIHriDTrfsANO-;&*!ck-Pg{gg>Om)TFz_rl1nED+O<<<+BoG
zD&=pf6=No5N(CQj>@-QQ3HzI4hOlVc&SSnsKR7s61g^iGO%=Ce^%JEExeTSr3@u;Y
zt#rA)ua5o%M2KG9gp3bY(0Kvc_bAA@ch?y_d1)ph>@hh_XR7dR#NwtQ1Q6a{A~${p
zN)P+dB0*h3|ChexV;xPlqy!HLH}c%LjNA3wIYBHme4&`y1W!h82yDJIIO=OAezEVF
zZPiItR+!OJ;g?fTaMsXz#Bp`Xsfd$7B{>QOM;ucn#Yhmg1m9{yoC>HM`u&XM{<7cpj}?KFh{D`mdr<+
z-U&BRrv$3u9P^*0N03a)Bdr(tOM#syMPHB-iFp*VJ~;5oNq+wP^~9PP?v~d!ogD13
zf%)U4--ejnpVB44Q{vG>I^z*;*Fq7zYH~XyvNh#%^zOJgUF@W1G7N731tCMnQpt>e
z{{n9RBEgQAQ|Jeo%^{_SIVNwz=hnmNz|bb0A>g|Q`GSbQXMW}y%Q#dlWH3_a(N}&M
zv?z0(Q^fj%_?tdEw}-J~nLh%9JDErSo=hGo6O;_zrS7NTL;2Or^kItr_dVEO{7Ev!lt64R3^gr9*fz=l@8}T+R7BuMCMUDRBxl&c8VaBSH@K?EQ(HC
zj~HN{Es^zVai|fjE1ruBcs?(ZB-~XZME2H9Snr;WT;O+!>65JudAvl9e
z65QQoaF^ij?gV!T?h-t>yX&BLc<%fC%B-xz>OR#ayQ}u8%IX%I{(f;L@RVgZdb6Aw
znbj_VzaxUC+q90fD?`Zh8-@-95H}brCaHPM8b}G)s?mm4r#fLX7>p8o6uc}6b>ujJ
z6Ggiqqf{(Z3*4jqdH?$d4m_iCZzZ5?r7g4wbcNk_i1UY-ffwH|3+e`rBv8>;L&A8I
zSivO)rBeb=gKF7p#_%sjab&7yMm+GhQk!WP$G%YHQ~TXeT|%!=qH1`=UWZi@`zCp9cnaA#vDf5Rm=Ln+`{Xvz{!C?q+G);@8bS(R^oG4T1~X|L
z9oTHMOHt;H;0Fxv(_^JKqp6XUP;aFyM=-#7a!^3u*ZxAhys)b36g?2d+37I1+Gl%*p_#jo*D9FNA|*{hcS0>$TnO
z2<+_T%0~OC!@0wkx8KR>{9t)GfM~fWqvL$W6}pDvWOEWn-xU_*|7O_c`3}`dXuRNm
z_2><){q&HR-K#J7Z$&J{FR}w`!Z^2}gTWmKOnHlWK+j;=m~-CPs6MBsDRGcFnqwIw
za|Rc}5iJOi_0W#LocB>2JS;b}MF%RX)a4)28`l+|wCJH($Gf!6;I-S)sSI0wH~Aqe
zq?Gq}T6B83EiEl9H4K-q5x?CrQNW6(uazdvOy>aIm2)o-*7t23ucMh5<7YERJ5J2p
zk9R#@RXrBEozAP%To;qBV(j$SsV2!Acy)udj^7fufEuspp9syYLaJ98Jv6#r1<1%)
z@;k%@(f{+hNAyTJLT`Lh=oUDTwZ|}vj8<3%OX)1qcGf05M*vWaL!
z1R*FVmoxtide66WefLj>?_!CDEBdS$1Y
z{v@wz;wF)a*pn8TeCs$0JBIX9*3dc%Vk^BelD@NJ*8+Z12ce
zgONXeAY2e-H_yR!;4JdVmiJaI-PtDc^Iqso8SJm~3(SYxs!A6j;g3GA2u&sq7e3_t
z{GEb}X>JgkA*d69Tk`I=Hoy)c&KF*Xh8|D3%r?$LD3Ss$rENb)A#BQ!o$?5GJ6-^d^_+B0fHId#IqND40)T+VbB1bZ@BBz
z&DnVTuxc4*LFqf^Zr1$`g_U8w?@o`3ORVv>b#zD$zBOfV_TszMN~A)0ZeETEqQf2<6z6J=jqLR1){0i;|b
ztC_R=KQCX%12PuI&T#2b)OHv66vrPG(_ziF_@AOdd(`G9(18(tDCQNx@`ISbX79uL
zALw64P38{T5BE2CyPy@ynqq4(*9G(jqeU{A7de_&@A+047>oD+4y`4gS^?Twndl9vs(93l%^ABV(zhCr12_l_=2
zz(^BNZ%@#npX^H#KRa3!s#Iv3Zuxc`L&aM2>xV!lB6DqIkJ!lc
z+8=vIg;edxWbmi!(%G`&K4}e1j!C%g@3J_mCFK84BTep`brk<3lf!6CxuGU_yLTHX
zc@H((*@{3`gDO^;==}kivEWxkc9Nof&?4%5o5(iy3KB?PR(|sVVYQXn!hsDaDr5IB
zXS<9hw2E0`z-ciK*4V7Sc{iSTR$NYoxW=Q#Auq_MQZIvfz!A+Ty>$I>i<-}bJ@*da
z_*4#W7ZBt|{&t?C@N7Do)bXR};E>(vlAT@kokUsVY+;)AWkv`@@Ymt;kq=eywVKK#
zoXJ!%0AVrZ`JHC0w<3<-GBU5OZZ7KWo=^3NbFQ!1j5KzHe;KAtJ$sXM_{^6UyW9)C
zU>wXzKk50eaR2D8p{p3GgPi(IP2ePef4gMR^C`LxN;LPo`}D&ov4sey>#Jdo2269+
z%(+2!lwR^d%KLGN0he%_obJV|?qkW3Z>$syf)+>~fF_*Bina74=H&!2;{VAj+!)%l
zVcXbHlux=P2Uq)vVA{cJ1akz~@U^cL1dcBW&kKK0x?aQwDofpGEH|~Vo#0)*wi_J{
z#iS8e2y=M@vN(vF3y{WL^RMDV6bWyNsxpdQ*fBDqDu&~b!tijZ
zNGdqdP^x6)Ni5H#Oi|mcC#gfuEz#mm0S+VxDT79jug*`
zsDb?jkseh-G;)Y6bX!*?B~Q772S@RtPf<^RLf~L6-nflR6y6L8<$!gS;t#?I1n}Bqcn1NVBWd-qF+8jmf)=t0e70#C(HtRUijix-W{Asct
zF&Uq^Odj<1l7i_*h+ao7DeBAu_}wQ1^0}2(G`D#)qF6}N1iJ17UMz_FAoe!kWLCIM
z=W;D{{PA^@Td6~#|?Gkjtb-=YS7g0P4(Z?{o)1Y{UCm!C4s(}N%~`ds~^?6epHt9Q(n~6QBvCC;T9WJDNtqjjv9g`4e62I}2
zRyhc(icw&*PDhj%3s%(fK;yl1`B8o+Nc!7KaxKXPy$n|kn361lm^>Zog1YZ!J1fP>IR*eEx
zT8tXkpd3TEd**E@F}{)eiU0aqQQV0W^psr{CI5uE1P`X@y{zBO1Q{y};Gp(e
zke6@SY5$5(FsJ0Xet-V&DeA!B|4ZBPQ(|P>F0Vmm`t(sbrb_w@P>mcY@=%^pY+7Mc
z2au0P?XnzZc+kbzPuS1p(B^0?Lq;)ORh;d@l*&l6id6MfN3(kF|EMtq2Tu0|1-v5c
ziabs$bSb5{V_IN)Nb8!wH0`rv(eMeOozgbdIc3)&3
z76YEMKWW+`PXa=&ulKm#&3DW69}lng%Iq7<1KvGonm?h
zFk*6%0S%oJA0nVDG_nE)Td=nyb2+114
zL6Nvsd?NAC3FIrAprh=36dnxgWuX_lho_A6G+cdvv&Q^S-^u1xpJYsK3_I2y`TF4g1`Q
zcHE~70;FNsT%y-ja_OL>a;iYKj>HZNCo|1de==X6_W_A~fHVk)BW
z17;3ME(tvX<7FXF&u~eW|Io1Ly@|d%+{g^Cf?s5Z_xTl<_jA@YQXsM)+u$Kb`gbrX
zJHM`}Y1K1sklySZLaqzdug8Az2ls)hvC{uZ*1(z{=KYS(r)%}Jwi77|yzzwQfq6-v
z<|?~L;N_?De9Ztg0lkXcgM(0D{A7zLb<4-sH<1B@)3I!;99}YVh7jxZ_EYpz%8c(J
zAmq3lrj6mUby0-=t$G2*;^h-1G9$X^zq`bMTKk#_J+OB7$IsdGF8a1F(grp|B*#PH
zGj%{j1~?uPtTUo|@!;@J(c2C+onMGxbm?=Dw`
z?QA3YApC17vT7L@>^yV{%H#%3>@|i@){lh>Br8bnuBm^xoR2f_4IWtDtuJ-@@|rKY
z+WNJ}(@WcB-B|KlQvBUKE971CYXm_2XTqY}^&mHY4BKL9hYAD*X
zCqQx`RmccpnkjeFMRMKmKg58SDa*n19s-}iX#UGP(TwC2{KcFjJ;D(tz{Ve;MO?Ej
zc-k3lP@7o;aU!jsx=`%MM$B`NCp<%6^#;DJR6+bSY*qNW@)`f4z@It&H-p>E?BBI^
znhgi%ew|StZaW_x=5`E2y3&UpAj=WVc(G(baYBGznDA#PxAKD{^lehxFz-Qjh&2Aq
zWIYPgW5Z5Zs2gnZeK9d*Noi2iPSpBjeR?ABni?-|WjZSLD`rAQ|8DmJN`@#?fJfTm
z@-S4_*A8mv`_Y=^9IZMh;m#~?K-WkLl0mtx`}`kn%a<;dpRr{I;SM@f@<_3B%{SZ>Mvt
z*mNm6DI}D7T>!VZu%qy+_j#JoaCVwrd)_(}tMA{<4I@r=UziNN^V4WMQz`k^Zw4(p
zIMuBVofLGOD=H#){Vfh7zU@uRbnK921~`LQpg17L-uLfrb-2Ud=7u(b*a8`f=aK`_
zn2HizS`C!mVCKSP5|f%p>2cOv^zJ}-9AZ@{IT
zjphHi0CB?dA0qdSPWm*k+0~(gP*7mZA&shtiZ(r^fKKW`$IsMWPFbfn7LYwSePU67
zkZ$bDY%-sUAESvO`y%b1V6x#G#!bx;uNF0*sF-sVPf1MG@02FVG5;|#O~
z=#?yOGU6KH4`myl1a|S5GW*SJk=_TMv!wG|S;ud=Te(1}@X_KlAb{E{-48>Wp$cFS
zjNyUc#tl3%a&}m;h9bX9AJZvz>bo_hjbcIE9we)RtiryRbd8$|aM0&yd!2K2QlEHU
zs@C?-zI)G-P3L7pxz4RiS0~%Y`z-fi8uyWoazhE-2_P>gDG<+hl(u;s`V%hrKUbMA
zSRrfC8`4F}ueep_m&J8?EZyeRl`P42zBXRe41C2dCIPva3j~?ITL4}S&3DM^XqFzE
z@-l6X{u(&>O)v&Fk_*TZWR4`6@m!$!vc~Xpr98)d_+ff5sKgQZm;Zrh-_PnzpfydU
zD!dPnmJH2U%W^lEIE_@{a%&|f>5FXx-nz<{W^!0v)vl5JdWN$5
z)s)s$*cNI2HDA#eUsPYbZ}6V&OEc_2odJ_E3acyU%Rg(&N7EpoD-C>MXx&-q85YC^
zc?jljxeNU-0bFUw;S1S1Nm97f>b#7YLqORY^;BKy3+!qEBf4~CNM)y@ynk@93Hrcw
zwfIdNg0aPoD5n&tR=B@?$aoBzBKn@$O4KL-Jp`^V6Vno18OmHLim?
zdNzuyyvWSvDg^`JkJpNLyBn+oY`;_3=ck>vcnzN2f7UD@;HGi-Yf@UF%dP4wedqJ{
zEqnLn|5-zQ(l`L(0~|G%gnYK9kDi)Jj~YsfxWVygyF!?msf6P`+IT@R57yQg%
zq@(`NOqhJRv~$xt*(P*>60H>E-|>G1oG;ugxW!u)FnvN!ROTgXrFhdzcoj8?hrzpd
z%9)16$P?RQ*;1WuO7mh_@5p!%i5xUKDIn)|1E*=pp3nI>6Wse;Sp;K8j;YUC5}RvN
zmWgD2vU_-rZq@luPq*s+yHfRjyo6z=}mT
zV3oLm6zY%={~itZ@Ua|R&zam~C?Js8)@M$dU#jp7!=_~cz7F<{zdgM66va&2kLhZ;
zwX(&6>0yY>TgR}^%LL%FG&q0jQ9>Mq;Wx?#-glR|CP;mWRKT+k)kQgNNCb(+i}g9(
zH0lXr&RVIu*fv*p(~v4^A(I^IRiaGUV?zfWiCr9w^iU}ndH$8y&h9H3Y`^Oaboxr<
z2Ab|6>PoK!2P3ew&z@14QF%4=aq^SR-|~>BZwTHFd&3W2=uXULa#-A_JsNp$tdkj@
z79PVf#~C;iW)&bvbbr;NDefP>uJrafT4>~=f%mr9`|ajok)e95rFW^VI&eVW14(e*
z=yr^1yohvL=a@IpyC$J}?RM4#zTAaRzC*CExviMn;Jt|m(YnS7>o}f>0UbR`NaPlu
zoehD^rQ~Iu)`U}H{po@Dbsb&{5an-rt
z7zrK7ey5>iQhxcRxntdOR7L7p?FljGem*~YL~JF6MdDvD!!YcS=5`WsL>?l`Bv(X~
zT^r%c`n(xfU$j4!V=LQ!7;30D8ju%Q#zb{+ofZ`?mEO&TB6qa1==YQN@@LRuf0Q!5
zjk15u3>x$t8AKq{i1ja24bfXm;C1>l*7l{>Spjjzc&v{>o-m&(<>hee_48mVLdKHx
z%>9=E1)`MuFP?q>)l?d1t_TH3ETsdGa;U$rD-Pv#hafY4LPR`uJR{8+&VGQLEZ@V(
z-a1d-&$SGZg4Q%tvgQWxli}ZKI53boqm;Uhp?hr>?Lq=I7%>;+
zN<=m0J};dqZiE|%mZ%r2K=kyJ-9LUSj=ve(MxB1GxiZHz_fZhVv@`$O)
z*8g3JYF%KrydWPT$^SBWs}ZJG+@FghX_WN8k*mrxkfq6!6(^N6;^{DHEbd7%3(fqE
z0TVweV}F#b2}xD+Z#us$5tg@{K9sNv=|d0Ywr;6?*Ye)(`!z#7!6>2(5l{*csL9Lm
z`psAoEo|2S0?gI%qhtP5`$h(*L4#$qZ@YNN9hIH`=Z(2%Y3r<6N!&nxqs=A^#KEAP
zQK8*`O$#w^7ZImGVDKI*@0aOyZLGmZwNGHMuH%k5MOk1@0&iTKda|-d_H+a
zOZA}|ME%tl6i3(xS^lug##o2P-K6X;TTG|+zs0BMOh}@rG^iY$t^F&txPf$+D)y#$
z=SO3E(l31ZzaDhg4XKh{*1{3h%6p5BsJSKL771j2Iyz&e=gC-A$o|w}4lL&Cs`jNf
zkYzEHmP8U`k2p+LL-MV@Xv$noY1^gGd&Tcs##|C;shc#l&nj7?*`}4RWb2G|#SzX?
zG6koUfzJMVN^w3u&AQJh{;^*Rb6kxf6tGv4Qv9HxcR!gS%K1qA-HA$mA>U!Q!0;-m
zK}-|k2_ntukg7L1!l9e!RbI+w$6np(3QH!nMu#H)BtF$+dDn%;NGe}6IJeAI1E?5Z
zy088O?4$YYXA}PZ#MdQn5#F
z36FlXw-Kf9mCyGA=ta_+6RP9^UU)4FmXT$>P0!)>Nc{s0pMwWgGJoaS$IBO-{q-m*
zq~?i~W|6P4L8L-p$Mdp&cLmNzSUa^|mfKRzPfpvJ-jhpntbXszsiIYCL8yA+rpM)3
z)|V^N{noS{MXv~gQ&i*E`!6D}ohLSO9nfx+)1M&^%S8Uz?CG9X=;tssIX!c)F_ZxS
z3kV8zCE~?pFh8aSM{J%!#%g!e9EE9tR(IRjD$6F^p0XNX7Str$U1VSbskcg~px6%J
z!!VR$ML$t|3F_AP+Qu(`*0kwD?O^XX=-nll2|79HVWQzv1CK9#J4N}7E8Cv5{?jTV
zcoC28vTkrs8ms>|K+EsN_OoDO9T2!hV<;Jf@>QUGX9p(!d$>{718V=#|!)$-}X-p314$Jw1{X2Cc5kOYuzZm?Xq`w;YX2|)nOa4eUFD2l&HNdM;A*7fzdU7WdI
zC1_ROH}f||TizGhpHPqdyEigrlnLVAT>fblW3J%iJDZbmIQmQIgfnn>OTq)xh>(UC
z4e{dnxuIyn*&oF9!$&^+JuAAYAIS^Rx
z6Q~oYCE`WDcFxm|sOeRfUd+;3o{Ljs*%=#lCq~IYEhUg7$PfF84*xq%e7lGE98;sS
zwd#%t7sl5Gxqa(@_2w^rhC;PYqY%b0&cZOGaUs0$YQ6ak5(1fs(j4fGkJ??J15L0>
zVdI6xfS45Wyl%c>eUmGd&Z9RLQ`Tl~0Febg&i(ozfT}2F
zE+mkfRWc(^duIembwYc^Ly%AM*%_>8?Qtw~IMc|Prmx;Kg+K>|Kt9)S7UWa}^1nbv
zTxTJFyd_Z9@8gkGpP^CzLZfu(8&6cCwUtQPH;%k%5`xiW?j9V&^!H)+@zu&aM_=Ci
zC!uaubz4sXVgNLLen
ztKk~_xyEJtksio2{DqF1QVQm&|F?|}7dhLi3LO-z(pgbEhV80W7wfR7edhK$(Lb;^L4!Y({1$%M*zeN=b?^tK-
z3odd{6%3iV%zC3V;Phq4-tJ8z^}Hg?v8f^EKl0#GTZ?!B>el;JQWoTGiSXv;ioe;J
zzNIh*cGaT2udr3A`dUxb{lrZhF+f3|)pNI3mXfo^@)n|Hd}Qu}1`YA|tUBJYgpmmkl>
z$KMhcAz+P=GvZ2r2c6)~x|=0eivL}XI?Q=)xT0LPh(7MCd4+pj@Wk-Hah8txSke;L
zxm$h9a#c4UDN{Ur*CJkZN8+h!OZH;aZ>B@tA6iX$x{BgLH;|hZ+Hf|DY!|54WR792
zDjaQ|{*5~w&U8&&&Sh)N^TAJbc|P||bc%b&HR1L1eN=O?bdf*h#{IKDK4dcQiCS$T
zmrP+wbDLL3&9gZ14zNOE8a1IC#VuTu5k2Peeb>2WJK1R*ma+!(m}Q&<;eB2Gx=2na
zAkP)~gRF@!P6XOIy{u&6Ob1i#p)dqDrDgZ{?)c}p)TQ}es&ZyKyGy2_gv+1P*9IB
zS%v;}@<1(s*~;_FbO{%wriwpEab(7=oH-ty>F+jeeJ#vqn=`$>1$N@9g>vM##nm8F
z7Z+n=W5%*6D!S&Un@)4$Nq$yG)h?UiT^66O2r||Ao;QE3-$)%c6ln^7hN!D~P8QL&
zJase+|5N(x57Q{*N_y$JOD%-L$!p8tJo=AJfmx-v+liCKw47WPtbvmKwFkFfwyhoa
z$;+<6g8{YS__U}}fMfBv>x(_nBmo45K^R|J3xA`L-b&7He6E8_6@Q#IWl_DFS68*-n1ebTK+77M8DNoR#>W|q$I{C+Iw#m_T$CHZTY7=UK>7Pey_wB!p
zwATou^yDD?DmY#J`$%2LhMzlWF6sWRG_9j08R4&^I^d(OFP~yDq~G!DFL~>7TCy8h;u9E%8G4<+_h|~tJNYSU+Z0u+Npa~~
z1zQHgi|b;Z>xpRXeuj~KQrvEKGJG9%Q+KedB-B+W~n9~J)%~v
zDvPhPj(fQu1^a;5qFS>9nyfB6_WQL4oemx!T)TY04+&S*q;AjibA!MRgQUB;p2J=Z
zK!)r7Uq|mmV`r&fPs!hiUF5_TrliisDVAPHcrWg?*
zpwiaDGTbCE6_dm_<^G>w{=#$lijT4*OBO=dyoAk&fL&zFmY(|#@4NX`o=K_*2xC#-
zWSATRS2C3IkykPYorrceoUCmOZVxIc(N)`M9_Ln%=Cw;3%+`0%ySF?indX)AvsOq?
z^gdF?D+hCfdwTHH_F(pq##1xL<|f9-=_7$%HNrRl@N<6OOp
zf&yFA!pNZW`P#j&zMHCweWO69rcqq?@A1X6BULq1qtmOs;cIj?p0##EEKIohc^@I9
z9Jo4_P;h{yiP;c_nuos$m62*4s<$?@*o9K2WN|_Es00srt;k@JEb5iwRskn`VPc(`
zK!7XI`GwFfqzo-gV1MZ{?H9$2g3SYafhoIjf;GyZ&$$b9t&`BUsOefa1HT9){(
z@P_+AHmWUuN{~?CQr4H$(00V>r5lxTg?6g$5Pw5H$g_@$_?0#Sk2JOpyZ*a2UY4g|
zrz3P39c2dK!`-jSt7{vrmYwk#$6zhgu`DoWMoe;@3}pG6o6~W3l-+($-sSYy#P_}mjoqulLd
zLpFKxI|W0IkCUC-*?clYZGg?=ZaC3=0h@+-b3&SLr%mi@4Cw28ozLgTvW7z}p(}_+
zT!shxz!sjT;iYQnl?Fb^{dG?q*a?IVz@{KYaaPgiUj`V=nT+|pv3HTbsUVqp5In2E
z#X}(1;FZ2ReD{7IgDe`eK0C{Kd+=Zu7=KFcI0FM*8JTM5JxXaq2uytDlC%9{%-@i1
zI-3u>6D$LBon=w|&IloJGk`;et%a3%5;2OEXrWyhFBU_-Zz;O)3l-jz
z%!iE3?)q+ds?7H`VLaHsaZGQ3&ztTNsRc_$a`AbvNNrY#@G_g#$9zWN*Ey7oGjZQ;
z=|#cgYovnW+Px2@q0ox?7r%(6Gc~V$uMOy_nNoKa97>P!$W*7kS3&0=ug>&cLKkj-
z8p#CP3th#8idj>+pQ|1RGr16NMM7PXHKLQx6&~toE*txVm<$ey5*7`+`%xQI-Nb&L
zrN|6sKWPaB{dYiO(rwhf6TD>CC}b%#;$L`YUI3ad-CWdp17*T%A|3g?$cdSsoIzX8Lj&
zaeNRaDl&pN7HBw!s1oo3#l-n(Mw`>+&|H`i(uIY~d7!!`Ce)A1;#=-!zTCRvbha2-
ztQj1Ux_)`Z?tb7c#v5J?%h$oOlv`=Du+Ivp^9@c`XFL!}ZL9O~=q)XlTxQ~i*xUe#
z_P+u|C)C8;7L-oZK<_dHzNaqv#dJ5KG=X!x%8pVQ7XBkT$i=ro?;C{B(+^>-)#~)a
zbUPa`Q>dsJoo};|s4zuBBPP$aXItKCCU&cQ(U&w=ugvw`9<}aRkcaXhbz@agJ9|i!
zXI!WgOL(FoaQ}22hTzJ%|5)^+L9QdZc~}2(2-svh3kN=jHdwuPTQ6Yr2&A+M3*5R>
z9jtEpR4dHaM&8LodnO}Q)JVBPi-L~_|M&6X$FDZC2beZ_;n!vc7%99)Dc$#rJD*d7
z478bM*I*pe3z!XhpL0!H6)qK8Y1;IKTyt{S8Z-X$-i7_EqQ3CI@>vlIkC8vog)rJk
zSM4Ql_nP7DD}O0x_(6NS@3hwqvAHtI<9qxt3m;>O3$qw^@GeVB=jZVoS2Sq=)Q4gE
zJzIg+0dv;$q*sT&0S~F`j<7xh8?e9b=S>lo=-RNNN*{&=pdO-wy4Wes>zQ}$t(8KD1qn@0v`(rC3I#Y>%A*
z6_}R`q0QNy52KC?O}wnYADi`7d4J`EK#j0R3j8JdI^pUI98XfaFn*pK93xptA>@t5
z^hGbcS0tVDrTZM59a*ryEIO9Ej(hl4r!~EGx|+Zz*@WduUf79JC0z$Rq77x=QaJ4v
z#VAqnV|dZ
zI{ke}%JRq9X=N05)rD!$@L}g(`BlDTT9q9MYxb1LdB?CdRv6?M4be2hvZ1J7?>n1c
zTx~*X)|IYL8eT>i9q;FDo>h9bA@+3@EKh$@%S4YNI%&Ivc*StwpsW>rr1M*C&HC_f
ziMY0)^$yX-nH}%*j7Iqc=~;v>RoVJh1Wz_&4au$+x_8mVTKhfmGGnK(w$cU`%Ok3t
z-Z*CI_!Xyj^N{K8)A+0MCf{wQc_xJAY$5lPomScC#!L}^>>1&}$JsNEB)hsGv9_Jl
z@(t~%Paa_Yr=B^FNCb+CzoF7(c}%zCL34ef7$|B22wVe)GtZgn3i
z72dYp%#3zO9-?eJ?FuTb_%3@hA<|
z1=GE68&8#l#gBD=Q^<|0n$N~E+`-v2^n#G`azv*n#g1dQ!*%SEfa|k`qfHUxmtT~)
z=dJtX%_WcBXWE~bf=WO-E58%Xv25HV9UX-pe*Ex|hZmMR&*Zf0I}+Dl
zf8VK87C)Ce*7y4?gkH_Yb2K7*+YESA#zj}qeD4-&#^)kuRwR*l{;TMoLEz0tB8As6
z)I?xb$IU01*ZMFxj$YAco(B1y}64#o4rCboj0N{x-w(JzM(P*iU##R@W9|6COu$MJSdb9_n-hAwkc{#QpZJj+Wf;
z9YjO2WBNU&fUv7p1|_qygR59$(%H7yQwh
z6u_uT6Z|fo&Mfd>dLx!$6Nv&BjD5fZ1kGE{3dFDaPZBN%(_k=<|3t~T*Bo8H_`F6=EPp)5LJqqS6T`JV*t@w%
z=`QBXtXDcphT=90W*^^PL04R?Ez)MGEiu7~d)qn-oXAT)Nb6qQU&j=|;d(5+8j$Qvp(pBrXv0wSz^T+7xC1XaWyf1!&>wP7g8qWHp2NC_tpTdMy=dP8#OI7lc0Ll
zG3BgBRm7M>Xp(kotg(Zwdu!!W8W&W!=IVhrCZUf)bD9*OJBcHC)TbRK?AcT9cI5$;
z{hWigwDQtrb-#a;ii`M9hRT`ihM*IVC7g^UH1W;(ntdRHFVtYiZorId8uhx4PY*%U
za(Ac=ISj#4AMSbLFd>Qpm&VBDPng0#q;x&+385lRLi(&n2T!-Az$)_
zXi-;hHClGord;q*H^&xcpq!v9Ur$YOqoUe1thx4X_0z9i7JIOQ0yfyDu!%%{j~aNZpk_ZA
z9(0;i-J}#KRP!zoM7ZJ&nBe1A;S5b`)4!B!kgD!QH$Qg|uSG!mDA8l&LbeA`Qj2Ts
zx#Qc~utldx#J48sU0=?;Gb(YwP!4G%Eb{iLE53935kfn0sKxC*@4cG2SlCS!J)>*?
z8UM!SuDI3Jmdiqzr78E$5m`vYWqiwW={Z-Sbl@LkNJYz%8#{v9rW)n<#a
zp~mTOSaOJU%`SFw9t5~pc>ax(qRRDL3Hd8Xr?Nad#NiJ)lH@1p^$4Q>hGLIxj`e|D
zfJVoh!k=ZmuYV7n6RlX~tB`hI!b+&(jXS8iMl{bA?&_W6?skUy+McvA_k@%t^^|U4
z0aE9P;s&z_pVIV+51#Vot6mFE2$k2Lvn-RWQ7pgbeTrY+Bbk0a;eqn9LzH$e{YS%i^>H2y}3@
zO&82%xOUccKf=iBCQBi5sZrdWP0BjSQV0Kbpk#UeKFQFD@#|+8GuR_yQSsuwA8BkJ
zEaxK2{8A-hKN{1cT<03aKg{3&XM(LmtL5nfGR
zIR%4D0#!9v@
Zu*@9gn;!u(mpD-;w{TNGMoDfknUdHw3fb1>VAP1JDQyXhV~$5W
z8Be|_34ET^tsifi*1hrZvI+S@;_ny}$3_}wmZE34Bvwd?bRkBc(;9SiGsvr0)vC9P!lHgzz-}tzVr%-OJs$ounSaa95R8m2XL%#o~%Pv4WtB
z9@GikrxNfV0*2DVH?$k!B?06!zmcyGT30mPtfN!Jdmo73d?*%ZAP0&Z1aVhbf8@$;
zQFD}g=kFJ5VRrv?B48>vo4vN{W9)O%cS2@i9PDbdE_|y-nR^+rZKuNww(nxBx^`u3
zvvlJT87BuL2o7+ur;d{!r5(itOoCBzW@11nuW2Gv_|#lfIeU}stDy5lJ>3URiiM|g
z)dM+U)4t04{^zidtl;*rA
zEnk5k%rP1gWNB~#p$tZgfuB9goWNr7Z>C7x@XV-xVoZtQUkxadb->j=
z2k&^PAC3vWZ8M_&IX_(R1H(16^dy1s873u6zu@JxXFA5?9$^QK;GIN1GcCRk={*}k{p|8Jp;j*nynlgp6yDoKHicis9
zXeskV50Ak1pGd&~R?ALAOBybr-GcMa_IX;HB%I2APk;>K177>oa~JYu+fd#}sPUc0
z#Db!?OCv{2XYN+oCu928LB(N(&{q`|c4Y0=`RA>!TTW|78dwqA+#87yhNf|nv_37j
z_bygdfj_a$(4U{nHRZx(|9)j>f;9f6X{9~pFR6f@Di2aYhlQb`c{x_s1LX7{Ba3;={U0!r!r)a4IW|8trbWPh5)D!=%@syLaJ{gMq#{-y&FYxh>qq(&M-nt4L
z5TmSh%j9!F&9BfGE9llX4*lusz_RSk&u^KU#@kV@7YM9%!CCppCUe5W+S+v-@>kM;Oo&Ompoi*mU5?;v`Vh^~7KDT7QVLi4y8w`Yo#^
zA9pFN^@CnZjzHd6suH#61>R382N=F#+drnZt~?~pOn{c@^V?iDEy3OQD8>(9ZKBL$
zm0w^cLTXrt$5{R*LzBbhdn2?-suNGmVmLExS*c^%qjSaU>#KkT4Jhx4NCS}u12-#y
z8#2y|S{)i}EKo#gGL{bNfCpoa-qDX9Ed@qiBnK~{CB_lqkdRS0e+`(pP~8hKlYFeP
zm*abieqYvKG>IPr(^)pH={v^kD^r^7tCgQMWX^OFH@NEKOtiiw*n!SME=!6jO$6}$
z&Mt4+_~qmbTfqR&vtO%@C|v~L+Ymwa^?E#8d-2ZM>J!@xgiIol)#!fXqlyKjJqw9-0?M^%|&w_TibDRI=5C;hN9b<&rV
zuQqo&^jG18%C6THe?<6kvWy@KC;sOTJmmHG9_t0Ls?KahZxQ725MSX0wj5+K_3fR$
z`P`uZd|bRro9d6K!dx=;4^ENiCsomX_W=c5I=RhSDl-~zhd$zZ`gapOb+dnOMe9(1
z0BUeNYzHpv`7&b4-tzR!dDWR5e~TdMXDSqL4621!$<`EOET<5c%nT;a)zhO
zlSF;GsSv{+&wy|Ho}MiIZ|r5AC^_33*SD+j&S#CyGFP7%n&k6O67n=5O5va|8GwSN
zw+A5HNk;zO^N|1(jI)Q``FKSvIs);@4$
zC;X`^esl~Pi#SzJWn)rzgA!d}K1A09ncW#xn+!vz3O=pPM}5pIYIenwl+@8=o)UP*
zLteZ17d_iT#VUePWcDuTkC<`rQ~j6alj?~v0CBHllW;6tdf)B);R~Y1$bY(Nk23UE
z7|Q!VkjnhCrY2gS
zfBxr@8o9^^SL?JcJJ|2c2)|%+;KQXbmBGH$Z9;UjRl}`tjEY>23@E|+Z1L=`4)tWe
z!euzBYvIrl?HB;k1%6~Q#ZMw4)4``ps^IT^x=lL1cyDjB4Jh#4>>8ra6G>i3FpPAv
zamx#TZ$pQ=PELbFln*!n9*+!9$Wt70GxIf|Vypya6H{{EX5$;r3b&*naNMgaF$S->n*iS<>vG>aN>mL(}g
z1IFwh$rp`SZTcfX+h+M}k6DSOS5*m2g?36bzgwktiZ()TMbJW3z-F0*?d;}Jn~;@w
zQ1;%g?uTg&yDfcw+upy~qY07K(eqW~t$2;?AG)ose&#jF$_~tkzNl2!TJJ7IZ2184
zquHW5b9gd}rMR$VEpwVB|FUy898KmiYNmU0s3ie-ZNg(akrd}*cJN%SEvsb2*BhUE
z(KB~{?_R^Qw*~#>Aw?T3NEKsUU;j$_ZUZ4$H}Fb7b=TT_qoDvg#y1F_Dk2v;B4%^{
zkEpKL7tr-!r7DdEgV`d6td_5lD&G3_gw^@OXiN5}rkVJAko3e1)+
z*&E!dEB(xYnX!oYukk7NyrgCjwz0s7H!XEqRK^~eX60{mC3Md!YqY6y_zU$HLW8_F
zdSv^RbPQ~-91=G_OX@}4agzL46^V>LyfRMauj4R&XRZme>@v<-aGHkhNbHJ_hhDk(
z!@}3+)rj%PyM*G8NIV*iA|89v;;ZJ|P^)V9c^K&Z3xkFNL@#I-{Z)^W`5N@SFz~B!
z%)bft$8;Xo8w;ALLcQmsUhb>Cj2Oif0!$~TMwvu0d4fx5-spshsvJ_pAoP?9|;-8
znhk+j6Ahgh^8Qbv-E%vsL5AGZn!T!0EV8f`r$I&?D{JyGaNUny-w9ZzV?QY
zg${+{(@TX-GmpurcZ6X*nQ`^AbibPF`hD9Ma{wvC-V4)0BCLcaLRj@;ROLI+j|Yyui4hptUoxKWLS_5`8L<4g_i8@48a|>o@~~(?P3jxO=?iT*CLp4vRGae6
z@S1i`6b7;=m$_NYrtuSAxS?oVC2e9~`}s~s>4$x1^b2Zt_AN%h2Y6++G3q&bej^O0Bm`A6IsW0$^u3iFIfE&+T$e3iU#%cZT}9yH{g^T1Vbfy-EHzegK%2M{WscJrgD;bS
zE%oEX-PewL;mu?EDqng6sQqw7J4emPShbZ2s~}p%I9l+USAWXqOQWlO?Jp-!9mD0`
zse>iuy($f$wd##I7);?e89j-4^c_|x6LoR9d;_~1tz!Wd*zK$q5%_i0;$qW{822&h
zTfx0QpY~klzAWHCem@rEQXHgL^@<&Y|M`to$f;yl<8zQn5iAgLT-KN;mTI3+ncrVl&&K0@%%^j55aV&XtbKQ`
z@p8~-RRbU&u1i7mPjh;ced9zE!b0cYlpoG95ZB;>uf|x&QkKO$ZYknsK>h;DOtgdB8?ejz^Dh9Kv@K
zllqematpnZ0L-}b!?xhGm^zj~o9ktv@l}!QCi8KlI1OU=&TBLb
z3^N9;3KE6>W|`r<^0JtREWZ}GtM
zc^8_g#j6%mGa}W
zwxi&*Az0kQoWd_}9gV0ccrmiSLUGA~bdDJ`zp;S4%>#IKTlis>I@s>~n+^8o!6>c*
zKLp+fQM@56@>X}CxLZiAqwV7Ga(k_^-=jfJ_%Tpgx!tdilZ}m9q|)Y^TGsuAlF|)z
zJ&)wndgkW~TDB+KO!#3jmXB*2`r3t}ja!nHzwQ*nky_Z&B|jhtK{%FYv{C+6Ce%$5
zqif2pMC8C1Yxm6%qv%LU*zd8k$kk#6sjh-Pk{|kX-&U!%o(t>2-PPL
z2&It;b9{82i1TSprOsuG17n^6T)0v
zmsQ1n_3{fW4ai{dau*~1OMiES)G@V2o>xwYdJOHEaaQcrJd)5*eed$67x%qJ0d7fg
zOi$b#kji7Y`7L*`nCuDT8!q^?^RabUBkxoXRrS(TAST3NYuq<&2c6hZvU1yKxV<3Ky
zRQV;$bqL>q$IC%WP5}e1RGb&@#(`tj+y~aeo|~^z>xDk1Y+fE0AruD)sU(+aBwmLe
zMQ3~rjndf$9`+wLlKbFJyG-34Jp8awA*+O}BO=h!xs*_F_ic*N5X`uW0CqTn7~hdXu(T`p
z;{MglgCD$xrSaWW*AqWwm*-Q#(>C
z%X^iO19{50r>7~9%yZg0&f1`5C6?_r^nR_lOeA=s6IL0l9jiPa9x#h@HEEB&ppj!p
zZ(aQ)?mVzpIl7t5`!>8CAL={neoK!5bYjQHH*uaA2Y=Q|V+DHjnhQLF4{0Wx&9|w7FK7t~
zN$s$qkk-%cn|#=aU~$m84$wfcWy_l>*(n#bBldj(0|$C-2HP
zMTZm`Ekj0(tq$fWY5k`DU~l7U-|uLvVKCjyJ5COp0_FMTW5x%(6Qn}pMhAhO3FBFX!Bk)Cw@M&PpJq!uoJ8b)WhwN9%X;gF1x2ny0)+9`2$u}$ZBwgox2VZ!1t!#_(tX!Ydg7I
z3JYtp>s?xioHrf3YoLC#GEb16Mvo{VLLa6>E!iS%nCsI~a#3#z)NOHmR6P!@$8~64
ze0!~cCa0dOM6!6Y-xcdnxl~t9)Og}u-gj4m-y$x?EW=+`Nr<_CQ@oq9u>N
z$`6C?JHoyAka77nI@qG}j$MU3oc!Te?%kl{%BVwT>(7y5K8w&v5$
zITR3b+O3Jy4-8YcoUo_Y&F_WpkHzp;;PeS%LSWfq(BPBQ{7D*U;Y_usPjL1)QLd*7z
z?_5Nn;}xSs+)cQXK{ZUXh|WL?xonbg{APHvS!_R##f9GCp5%BS!=fr~f|AB@xF0|eF{Hf_Q`
z+Wt&ipW0n)jt2VASxKiKf3Viy^m^HzU97!2iWb)-%&J#y`!W4F;dAVA~`Dyc`cGJChu>Mf+VdnZAFJF
zgP*kb@i{;TN1zm4ctBuP-7(AH)x0_62@#VtKJy1{-}Z0cjpJXScnRN_@3DO_rv}_)
zSw0$!Rf}|OJSqd6KyLRs-=H9KLzTPB!k3`pVu&ZaW>BO{>0`Szhwt?=TIoN=bI(
zn$LY?H_6j4J2by;2M`xFE9ewG`EH&%&TTb*A5>L2L{{N|l3v8{B0-=pyi){J5eLIQo;KqF1)5
zU>xmZul%aXm{;c`kbi0<1em=hV9Y)Z-5bt*jtdKz&GDT>DngS;QM!Jpl{2DgwT+Vg
zzg_^#cwW8xly>Z2;A#QD&r}FS&;Z>vEkGE^d=R`aeN@bsU1;>Ozq2uIBS~lLZFKibG4RdDv7(FW38Vy5mf){ldk9*qEOjZ_z77EbR&2&oQUKw)%WqE%Dbk_Z~|8
za92q0;P)I*pu3ZAqmW`bqYtORcnKQvc=0?T{xT8a{}%LMUUG&O;TauuxO2q%3vaki
zyCBsywLSH;26i&t(k#{kZ`4a@+>-Y`1;stFqto*+pv|sFqd>Yq^#0YZXauJOfn?!N%9YfcR21;
z^+CbFoJlR4o{KpU;!82AnA?R
z0r8txZlO`pADkvG(AKj2actt$yc7
zlBDg{;G~;;yH0-9qJlPXQb+bUe3j=b@_b61puJ!HQU4+mwwYh>oIm|G_#7SMk*LZV
z>dwat!`ZyRQX-Qho!17$7j6D=@vwqgFxof3t39uL5M!@?}X$TX3|`
z6mt=xAs?CPQ;dacrAU$xAB1#9JBjX8pU0-FScFQ+?-^X7SCSf_kODQ|T4r1Q+OOVu
zjZ+~jYE=lc@X^FIkpKP|P*)a2V63SZ$EAWfRi!uW0GzqHxNi2kR8uR?1mv!D&&XLP
zTkN?Ad;yD}01L1C^)wdQn`z}!DAAbMZ!G|Jd}wTVm7fnONrGj>QXsmFl`bwYur*;Z
z#zgb=f{~A~8Hz@-WlD`j;FIOUnnt~vCaKrrsC9q)OH_#HXTG?@_f}?z^9!$nna{1#
zl@~a1%j!=R?MsaZwQrT!py5jLl1|!XDA?yvO}&EoP>v;t
z{Pt9K=w28O#<~_BohZ7|qTNwx-C1DpQehKAcyk}DtN&L?9B(Rx2#tFmByh2FZHk^-
z&_%v}5_#_#4D)21&o{4s5IOMnmxvIN;$>Bc3Eim(FakzgX%04>0f_e>KSR$JQUd-S
zLIggbmxI32hyi}@{T#*m4@$(A`CR;x>%nN4AgIM$RM3F8Ua5m8{fGL4O0SuouJ~=7
zn703aTS&?WOT1uZ-}bF_h0UKJ@!BBlg1;$Fk_Fot;0-_$NctL~n8cB>>Lf342s2FH
zqDu@61$Y-GI|o<$GZCTN8_aMc56MeR!G7qHi9_jtRYJ64v_`%{em0$=pGSaGz#4u<
ze(3JSSoOa29LY~Jbo+1q+4C6GF>y@!%`ecfmP<^%A4m4Wg>(LDHE=?$v3?&DQ)1!p
zhU~v<+B+D!D3&i27Dy^gP(?*bUgq?I-@^X9Ec75(ibH%BBjWuRg_D;+VEz4(1w;o1
zH_(bRtiew=x!zf&*SK|1Y#d!tGTuEVh+X7uomgX{w%=J6)kkH!yA8>HDW>Wnz#x5M=6>cVWsPEE{MWH
z@GIwcKA=4y;)j+iN2D}1b6?1`4vLQ_(~ug{Ufm1m48on~E5BMmjE3XYP<(D`Ac1^*VsU%U2gkDBgF2zhGiMd5X4KjuQowK0c?Nq
zTp6Bcl|n|5XrTC;OTmr`eCaACrlup<6YRac5|@wiNs7+pl@*|qH`25a+(NQ8NnLv}
zjkMiBe5aQZC1t5i!}>;UYZ=7nc=|hUfH5^1_p!?x`OQT8jV9}L=$WSvn;n>FGRo`N
ztm(@<
z!YGIOt>p!a%ZFH9KAdo8mu6SxQv6-{NgfTt@=nxh2RX5Ly!}EUi%(V#A~CM?qp9(T
zq-j`!oS!dNz`z4j{Go|ZNC?t1s~rBSH43P^qrFqZ%-bRFY$PtyfXWpn9|(V{X=jrus^G*V#eLZkfp
zVK|FCeXzT+{2fc@Bq7b=xi+mQC!_0VA#2wWip=wC#7NbkUcZn}9S#I^Zh812CB542
zc0W(_dAZ^~A>nJ2uzzIoimbgFSd1ZmQWdC
zTj3p%YNJiLqaPb7y1km}9I{nKDm`#gy}p2$O%s;-h2rOp?>Q#Sfj#PF{7~z2W^?39$(7AzgqT`gEqfdK*JdpdU5t@%
z0{ZxzP?GS=OW;jNOpd2o#-Iw2B>NPf{VCjN4qFmHTDu{29}FOYxnq5cRV(#s7CZ>c
zgr4^4EX}UYS5HX}E4~8<_23Jp;KH)QGLSpJ-j44DUG%?hfG_L{=MlPVO#@kZ#RxWP
zxN@!;7z^lz=o?X~-I&Yue{t(1gvtx_@>7UQ^n~rZVcy8)VF!l{78_AMF5MA&Q5JC(&}6lVh?Tc$oAsXsO++?
zkBXeOqXKQfZre0Kh9uzJdyY=mX`Va(ss(HL9l?*Sw9d9^_K)hHal-=Y(3GMRiQvW*
z4H563cy7gCakINm|7`xRJc3@SZ4RK{$no7I2aj{Gyag@rlSdxhxyjeT#ObZFAgHIT
zi|OD-)@LN3SG3my9f4`@dViXj_D@ROXXd!-ngLLwig#jIj4eYnrxCA#5y~SpAO~8u
z!&-UWen|LuP?|rMQ@?I}nBCC8Bb_2BOlG~e4Wx3fcnVt3_zkNBJPA1Omm8oaJ^I9&hrFdC$ns=6*@d$n&2!jt*t@O{&C)Rf==Dt^80}_;m%vM3ihdGG>2zc&WbqE6TF?
zQ}k)P%0L3NRaM~Y4=5kx{4svOhX)l?J=qHoB=D2K)V&Hf25{5?;
zzyrQgH9f5iRy@ITqmG=sUizT_@>LvTiv^GlLzpewK;g%*AJ@Fy2#v*xEN=WsxaeJ!
z?q3JFu52BdKpX;lGiS&nuUVmnKR^xh98aK1r+0+fFSA(WEJ3!Z-uCn`c*h02q0-^LQ0pz5rVYru|BR_e+3`uY0Ibv
zzT%%tjvLaFZbTVTd@^|LMV|&Kp3Vo35sD8qCa-3E?>@(d2jpr^R{b#edi%nQ*rV4J
zuEzMXj~
zPBWzTE$`c%v2*JeP>`1{O^Jz;N(V$pH8hb3@BqIK?iRMC5QeQas%XOJj?r+yVAKAs
zE7jnyU1INqUZpVz(PB{AlhTN9sehrH^Fc%%h&#x*z6^%`I5S5cLb6sy&XQ3SRvEBH
zttsMSXoa3j?igb0n|J2^>8QXjqSIeyV@%^PUN9sQg0S17SF?-Xz5yY46->RIBSUjM
ztv{v3ReKv7Qf`lFX&@54*6aTbx
zt}VCIT4C$!_T;qO1f);Z0$sGno~Amw#SI-+XEcsvNIB5jIcI&%v5B|FUbU?3dddFp
zIAh6a^#9t8#slG=FyHB90IZM}Y>fav_;5U3ek;iip}GS@ApJGM+nU_g9$qkcQ;#N}W3V|7UBspooBH)wL@NB^K)p8(@ZQsqau|5+_W&bA9OnOR5IPyjQKf(>-~;
zfIjpc35{I@@-dO?jHNV!wk1scy+w|ED!p4(Y35LQ@a0dYx9D70+;
zVAvZGkoz%Z#_%M?srfNU=79BnqE@GgyOaI6b&Rr%L1X4wX!O5xC2`+g9X)OI{6Z0f
z%{8=KO9#IfWZwR3+xWNp%>flUoVtn0jtzR;?Bqu^2{-J1&qsnmDUz1!UD=kkeLmh5
z0&e_8IdX_G&FeaHGNgWo0z!2j?Y7hMi9e9mo57|JV0dorE)9C3xbUrF~c
zdBH|zZSoKJ7u09L>{c4}i0J+j78<9x8f@#v
zCE5IB_XRl%0n*4zu6v)-_U1YH^D<2prV6&jagQV)7!7KV4+wqx^(Ai_L@}d9{QZD%
zY3&U690d;g$oH};oaBs{MtHI%vot%OgR=#;twQ=M-~ZgJoKLFNZ?Ye;_#|QYRZSw`
zUNuFA?mIkThd?B}moX?AR)
zLiM*2+B#k~{?()<85zjlsKsuH*IDwZgNIanUgtEO6Eq_X&1s5CAi5461{?mW47&Ut
zXF3v+vAZW8=`Z+A325VtDZbazJx>)EzCRL$o8m~Xr~;FF`SE<8kvseM&s9Fqf?K>b
zo9o;oEqf!N?P*WuRLGJ~H^#eMxBE^QY7@y!A443M
zbJ8hGW71X7Xn0=|oU8SCda}(@iD>{`#}s6*;`(I&ir5oQ%rn>(Vtje~=AFM@wTzoI
zVfjV*XV!^f$@UW6iUvwHnb+iG=?>I;XFvX#3ZA_XJ=Ufz{)n;{gV#>whWB6Zs1PG^
z2Q74>B)|HSVRY7R58wv^@W(@Z4>LaEJkCg_
zwh^HCuPIav-^=Oz9opfEeeSshn{L}!V88XJ+RO3HaiP4PLj*{EOD>{^-hploZgu6!
zd>dnhjaXsX4_mzNZ4Imbbq%{N;bNc-8%2z5|t
z>mbU1FB2QK
zz@Aw~Ra9}Z^YPOV`12P!E0;ecvharh(PJ=YD*4J)+@i-m<=GFfa<6XADS7u!H
zxuv45K1VX6*M`X4!SjO3Xm0||tZWn%+%y8^!=pQ~bQ1ldQ}e1m%z211p!ow?cKouH
zSb!z-WF%XYa|%*jVN^ojtqV#HavunrNAmx=e-RoqO{@6l=YE!mj)BzvpUI)=2eFME
zp4So3^3|M$6B5!@$61SMzTRz*{y~1~+RpLiDH^&QPPzG9K@k`EX|-(sC*->Y+7dE(
zGuG^|nrt%36R3O!v@wA>WjS-@RvE~$sGEuQey4}$#d||`K^=}qOQxe2+|W%hB3D~9
zq)HoLRdl#-Tn4RHff!p0RpQ+<{T!I*3N4E39i3gTqfZ!LTjP#}@?qc2fEjNvv9CK*
zrJ|`i$H_-Sc9h{O2>0UlSNm_<(dYYBV4pl0n9Ygjx|0D+_fmGsz-ulS=1zM*DRuN$
zZJE(K3jK2YUAg->Ku`-3;W5)ez;r6QjxBJApmR(6@L9M>LI&5f4~i*QdY|LN@yYuX
zKby!m2*q{8dJW^p=Vrc{$mfWFH1O_4Y<`FsUCrJ$X>>u*Wo8q45DzFDA8Wy0=+0|%
zP9c`zQ7!%;H<3)^+vm3PZ0J1;P$j>BLJx%F#&Tn|oO*qJY3XU@I2)DL3+5h^WCkxo
zVyDA%fJ6`xLIiRQDSkaE{7+dbMc$eLkQQOs$=4i&P5zKfFf)3Z&KP;}sb`%itslG~
zmDHuLj$E%)yN>|JLd1B_OGUQFTXnPdUn}w>B1=HEX?%_)7br>hY
z4|TPoN#hQdLur22oxNe|XIs6C3vE2+(v91zJQ&;i;jRfroAKD#IQN7>T`#tmKJVbb
z+$gzx9+hBxzDfyp;{SKsY?3D2_~qmA;^DX_Ogi*-5_n9(j*a$pLtCzxEkiIg+7@*@
ztj=xFz9JATK~tfrD>aUQc7aZs$&49C>|zDy^cAQCgCa_lu6Nn$Z{tx&t9(!2$Vp0(
zyg$6KHu#UcTu{yM6R%tY24T?L=hfALxT7BVP1XwXsqc#LHLY=0=UY;&0%=a_xdAiX5S;#f|viPEECM8Pq#NmEl6N2xiRrT
zja##}(!@bu+f9IMTLCp-I|`pdD>ExbXCp?k-Lo_hX?M#&2<99$t7pM#Go1^w*AdB;
zLtL(bYm&oZ43UEP=OkaSMJc7wf}k_E+s50i*jJt;6**sW?bFq8=4{E&|8_&s=JM(u
zT3pW8&7=#5qz-+z@=OnMJ~|RpCm00n@Hofj!J{kl*j^HI%Q(5&y2y&#z@sh~&FR|v{yf*CIMJ;nFF&$dC0
zsf&tqTj~B!OYkb4%R!HDRPWUU(IIUCZ&t_|SCw23pr=o+0aO)V8Ju9X&O(2c7fs{c
z8a!`2DItT=lFMkgjz-Ym#P&vmMBi_`e_8*JTV$V`=6560Zcbt>WW4pTy{6X|A4R>KC+u%y!+x+c|jxKWoaYAin3j
zoTbZk@L_USktqo2ldO5)c#O4JjiRC=serW2;9WlnB4z{yHTBjDo70EF=*q?Qg}a#{
z-O|fh=hG(FKFi;BySmj&k^8SHD@t7Ee*cZbB>}9@6`h2KbBx;TdXB<(Y8>LbBt2}C
zyEglAoxc}Kymf1LmMbm0c{0I6FAQbVc
z(6hnQXTwt@!d+EW
z*U*X)I$J`pR2d>vtzuaVgpPBH{gna(4|Fpv%~jaxD3Im9t9+`9&2(pay7a0>n0LR3
zGv=@t_5eo$iy<&*04Xh&7W(<3)1mQzeL?0`#a!z}UrXDbQHGSVdMJl0b&Y
zP~X7Z``iUy|Itd-^FO-LByyj%Id;gzd^FSux`|DKjvj8}4^)mM*bk@M^0mI3arH6K
zvCe$x;ioW3%{+)q4lzL1%1vm<{5!SWiLFe816QgNg?qTMTbE~?6;BUj_8k!5gdt*F
z!g7X)r8|ezHu0FPJIfgHyob^t)}sUIwvha87}xU%x+#haiEI`7g>mW4b!D~lHMPE4Y)X=Yxea0qt)TsT2HwOJ}Pz-x9qvk`tVmg
znD~CSbv0~e%SULjoxVzI()v>D3di;LnOCMQmJo9Yu@<|*KX*lLi1P{b5GoJ7>g+yDVFkm
zM^bD`0*Ugesh)RXCPIdPr^!3$URf-1W~;y~XWn&rv3FpW$5e3w&i(4&BU#=D$$w3h
zCPrN%CpV>}-^XSL#+DxEhO*6O_VQ!TgG)P5?AM#&?0FD?
z?nLfM=ErHvxd+}_X{q!ZZ4HM56iP!Gga1y87I~D&+FW;|HZsiO=CU@u?!LTWFI!1m
zobX$DnWd=`cya`7?{MGdeJW%A^6_>opHabcA+B^ie*Px_5YLJUeNsH*O`Nx>tH$mVao0|H{gTXrls0#
z>qmA8V%Bo%EQetJi%8390@pRRAbyZ{Ev3u{aH-vF2Ua5%lVs7o5I)V(g}hg;artdr9gotHm?q9<2a}e`j}9hs8^mG{49D_f%$Y1&>izab
z2?mV5sa5~3HkP#26hEqsx>8z1-?3t=ZS)Q(BwOxLya%=moeNa94)JUDf&>37P?*Tx
z@!nI$x^MVJo+bA=*?{B#qjU!{fEd2Z@@g%=XVGJL3WS(^)w7Q}}MG
zJ!J@j%q9}-MAgFVBaN6h8_xvzxpcMb7XJlB3NhjrPZO31XA+cH5_I8;WaUH7nORxF
z$lAE9>)x$9gQx(7iRHj*umkG!gKN}6#$_-+H|3q)NkEdZ+&$Db)#XSg!c?gYbo^?6
zP#W-kEyc3}_7x>i72MFq_QpsgCGDn;G+7ITV^}pgnAwLBi$(4gv-FVDOWQY)h1$kg$B&KR+aMoKhS$G{9H
zd!TgXWdUqeCHX3uJ{KXsW&V}TXA?S~S+ORI{+pA2Z)zQ9u(%?Xs=hU8Jk%!6?%A15
zIP_p=R&33y&UwQqrv2f5Ya*dSaCE*rm_D|~EF`lnsq_;o<-%xQ|GY^2Ol?viB-PdI
zxaM)VLV-O{)28ytVdu_=kBj_>cXH{}PZU4$=GjwJboFCr&T<|Ud&QmKd+&Ya`EZRC
zRZGM}Nkv_Rh)~4)jb}~Acq(79>mqyJN0W$Nbyf5mi+!w-}5B?N!J70)$%^?B^9atusW6}>Y=24T>ihK+8}@QBP_D5sg7PLjsuxuhmDz2VooNw?xheb<_pOYCy}B$Vk+;Gowich4Z#7voDugp*DDaCJR_gb=ACGs~@meXQS!qv^iY5|>zFK|FtC8|`g+eG7facp1iG
zDJ}@qYrYK!{dHlTkS+bX@8|Jw>s~+h5wgvp_le%*CUaaKeul6Lyfsx?A1He-#_sJWQUnHcl9
zlt*^?drI2g5i{MsPnRb&BO>CB0Gr;w0L@5;EOKU`i^H*++bqVTU&>MR*7}X+s^#q`
z9_p=nZ93vB4$*c^79P|tRolYC0w3`u|Ld{}gH
zJNhF`CzHu_2pThk{1}R;q%pPnk@f<3(OqUSY*qXGH8J^};oc)rhYX6IgEpngu^2n5
z#k97cDb~we)Gx29Ca?jDozRQmp+DuiJ4f^9KO<=#YtFyvjN}r0NpyUe3hq*PR^76%
zRMHTIy&UDZ;=+lc%plhxuDokrIke42YA06_W0~4pbvw^)!z{}>`TQE?e5a}GQC)??
z!j1I=(cTBae0`8T_c7~B=6KhUpvQkoFfAlUW>PrQBDzyHZ~Ud*4^-?d(F@Nz1?t%O7_QHX8cj`!A?ggJ8EICk
zW55oVFO)sTVb~PzEHSK1b^lHfinXA+tG->4QBj_*M_vaP2Fg?>lbG1Eb5G}}ltd#F
zq=*ymHkmy^i^5TL?EO{_ZISurCh`(a?r|7Py>F?qSbC?#f3ZMFFPNhCj#}9w?sA=b
z6;;zZDQ;on&C{q-rGm%A2%$tU_M;m116%*dZUc(ol16q}%{oVw^+@VZ_TLFJsFc2u
zS_fGF{2AwX8q?aJ(15bZut~;)`sS8m$0-J}hsf=+u64)pt3^kZjywKR=CK>7dHrx{
zpa~Jpf7yu{cAZw+G%oJL`w1;nwe%)PCDg7w3pmfGfQw*KE4ANkUE320$?x5(r*_!h
zGnG1^D9@;~+#PldkyDK8$KW+<*JwVzK^fDMNN4mSPSqP5{lO=9E?ny_IEr}S5WX7u
zAY^)fxF3leCjmVg;(eM%m>4mvk$g2xR-^47t^+^tBDHBu!ZTwHFGY*pozG$#wX{;Q
zTW4K2Rs)`zYLP>mETqclfo^mgyX+W|6zF~pg|0JBhx~o^QJImMTye>P{l=aa*O^Lj
z1Fykx0*;>{FM-hahnBXWvW*Tjo0W}4?q9lcy1QQgP
z(+*rV0ug9-m{`KXL4vD9vPVEvBRC4E@B`5@q2ZyWqlJcx*7$w?)JHJ~*9ncKzgBK*
z#?Nj)?%C}hhCv4k+fFhk<+fNw?#*X%)hybL9o)GbJ-ijEgDSTuHXJGN0crEm@T8V_
zS}Kx?Y9?z@(^2@-Y7v2mMhU%79(0@CpE13FROAJ@@^wNn&Nw#O9wro~C%N#KmI?MY
zGX!z{&|pO15=uSZq+9+}8KTi`OkZE*{^WXD$`(a>LNUMdXw@&Om*6ncJvjiz>(zJ1
z1cmZ-7}mS&%tFi%&i?bH)S?|8vc0PjnXFi}>=>RN(WEry*0n`o*T#9CTrhp`2&!$O+JObvrC@wzxYP(eP@f&>H~_k;Qpe@f&VsRaN&&?{jN%`I
z>Kct`;-A%v@ATSkUu7dehao^W@w%?k;U+aP`%)!iNhcDQ_y0i-lkG+b%
zfM*_QXFM<_NG{=~RKzU0n_y7=$KVVW&as~%u7on`Sy=?kXaI-+_j4%qEuPV&EHja!
zenR3hDlzf6Xiu8!su)iaIv+4A43(jlg@aI(U}|_IBeA*rR~W@3+OAvBuytjhz4s(iQclUchfYa~1+ql|fy2SF
zPJC2_0_8wp3MFzW`KT0*^@|o^pR5aX&@e4H==_^4C*wnEm%E>&iumq=cTvH>0SIZP
zJe4dr0wp(|nX)4Qc_|R4u!8mJ2nB=B=+unz!5yKVACI=~!4EwuCN9pH42pdLQBLsC
zTz-9I=AY@h+mvLjHls|M_b&P_hKk^QnE3I&A(r(wF?688EATi}tqwaoI*8%4WA5q1
zV7Z6wt23P==6JOURIAtppASu-6Wnij^!&o6xf;*lo7PGecQyH8@54%)g{We`lmT4l
zlS9c3sPF-rzA$KBg)Cbe)OTNx8v1yTJ)`%|U)yu=>W?m5*k67VR#oK@q=f-T3dCjr
zFG%UK9ExfTpMP~i?
zKSIy#O+<8VzlRE+HF4eF6UFtSL)Q<519@r3ZL8(%@@I>ph-Jq%QhHzKiha|=Fo-0}C|bnRb4@cJOSU_sD*C+f%p_Wy%@>H3)zm0=PP%?V;+ElSjXc`)nq2
zO+(=ty1B0g|KQZ4aKk1XbQE-qAT)aU6n3w@UMD}g{MupZ=oDe&HVo7#m-iU|iLE0j
zjxBQRP*ysn%zLuUC`E=HSp!pj#Mcd?BZ8cvH99Kr^3U>U2^u0VrmaJVty{{qh5d3C
zO{zRAf0#d)y%*uCY@VCPVg)nfc+jhf8iNhP31E>~@Fz2Mbi%V%+#7da^L_8)O9FHP8HdG)itWP*0mtD@el@2oN1
zZ<^B5qc&55V#ATmPlDbs-s(cC`OiZH@>MoJ)O7&cA3-e?4gO#3VjS619Da@(d7Fi{
zY0-mCC)%IFdw;)_^HKPDY$cv>WMt@5t@}Kvot6#Znp{oNGP}V!vY{9^momy11{RTNCww
z;G{nYsUTo9h6Xx3wNDnVdpC%d44_nuj&bog@jf~v#5=N@(km9cI*F*ao%<9vXZdxc{J
zQBjp&lAt#n5uS^l=-oB
zJew|qkDy3UgIQNuS=&R}kKSQd-JN}GTBE~kzF`!+%;jC{w*!Uf7*lb0BKFU-bNvEk
z7;>guJh-snd4)%O?bOqmV3sJ^mGwQKTJzRI=Q5$Q^B>02hmHFrlV4Dn18k>(%4hMR
zMAsJc#wji&)~<@nQ+#UWQD)SN;k0YF8g5ACcXY=X;j_gZZUnWGJawL#xL8m
z6YsfeHjC-|*HnLl4f?=W7nWB}<0vtzGFkbclLP)4z)xZesK-0iNvscx1&PlyAtqxQ
z!>?sTosaEW9kFegeBSG}DW=!3zJXKwChTQxMO%MNU&h8PL2>f4QFDIvJR8?f7__p<
zdJglL!3eew1MU02&kK8EsDFIBY2o~T-JDrelSvkUe^9j5(J(4tBZ@#G0wQgIgf%d2
z1Nozd4x20@f=Ck)PzX_3+NBj*IW7rAnysNDi$(|#z!(W23N&HWut`vGAuK||l1Ov{
zG8MX=d6!++{l)xA}9@2&5iQ>*zD6@o4N(iB8Sj;l`Oi^F4VaoB^G4i)^m
zk%2>|C58mqmgUY0v@~{50sA9z)Oe;jC
zyO6-MK&S_7@5PpeJ`GbfcE%7ClW1rE-9qML$wvlVQ7LDbAfjGO(VPa)pIOowC|`~o
z&o<4h1b2+s6So}(Q#24Gu=jvM{`_?Vc)1&X+AeL5;U5gDFZ24!
zgDq7fK@wp6V?Iey(y8
zxik6sPeJw%%l9f1HN^@xJA0$ArvA=}ui?c%p?m&*+}|%qS>3YdYO^^D7XjrjWmsrq
zAW`~PwWK0_H;zmz*?691)?Nx^^)eJb7gOv4J0`Q8*-Lr>3(ogr*8=4yZn16Qkn26K
zW>;!@`1n`7PWZybal%Ew!xODkJRCh?X*OBpvu$Wpo+jP;i@unTg3-#vI7xZ}qSonz
zm-mrj$BKHqDYZNB{)ytw153tg&t4TC!`aEp0&Ht_l}?JWu4%!^J}91b)jzAUK729{
z$-u|+!4({p!VSK@GXH)R*0{p8b-RPw<#g}bwNky6TPu&ZWTW`F;
zrnl!@o&pI^=DZsmGoZXl>HdRv`xeYK(nO8B>mG{HFSA=5&5iuj$JdB*ZbJF{HTrsD
z;u_yt0}}tD*UziGG$G$>Fd}^BfKI5KgiRaWb5~kheY9Et~PDE#DdrN6O
zUFsGL`M1p*SKX=>W!>DMGn{e$Jiy!G@HC^!TiWFt&M?EepR*fCTd$TMr*)Bs8%~tS
z5cO@kYn=N}BoOU3M-)gwl?q){HFFVBa}Q5<`0DfIj1pk#q@EXv+g7n6?Xwn1a}@wo
zFJ`K@P$eC1(;+`j7z{I7N*axl*Z=_Ox;vZ-9yH#n{+Je6#5xsA@;seCPKAs2i>jQ8
zvJuh0gRu_bsl@ozefU?pWfu<mc&K)N~Ln_v0z8o9sw)kmRDx76%|Sr<
z0cPfGKDX*Fr=sdEnsjJ$>gsD4ylI-e_ubr(omgRCByr>;fQd8dtvQXlCJDf^q92!b
z{d$E#zlO3FpOqHhl-uNsG2)hN1XK2%;gHXFo;|P8f}Hgm)F{s2C3WQgAjxz=yISZP
zuAU$kp`17hzoTN-Cwd8sp4ODRs^8jc(yls^tKA`kj+f1wy@w(_ct{P>H&UK?Mzm8%
z8-T^@bO9_*rLps!>Frwke|P|K{N`jNv`-%~>G{DW132svY4wlxD=uKX`VVIM1Y&zt
z$N9tJoUCKPE6toPcOQK)JH@;*rZDalUdHKfb-1HKh;
zbF4m*tHvAYivFmpYNgd_$jqVsmz{&>5Zj@wxKJFyzaS-m{m<*>hpp~*&qDGYqmz9M
zEW0FkzL*i`*@{~9q96YJ5dguV+5WSAcnEFr$=1ZAg!V{dtusDb$kgBxvdrNq+{6|0
zv^?_t#hL3Yr&E!VI<6F8(#K@PhefE+zFU53fLsXT>i
zL&}EQ<&6^&K_sjKI$Q)gFe%~UGsqeeeT4dkB_i(^O;+N?Ycg3VL1-!NgiZX}UI<=9
z2@LNO-J2nfx2cT8`2u2xt6@V38F93MjoonAZM)w2aYr!iNB#k^9%x^qI0VQ!$e_|v
zkLt#v;L!}P=*+o#!MwF11t~aqh@j=Ru(So!)at*-$V7q2?a*J2eT^
zDCd3RkF6Mosi;+XXJ6a>Jk|Sjy3$qs8AFtvCi-3Xo;~pOL=$uWvv)?YFrA0<4z!od
z-jH+e9u00gUN20gZ+*)bkyOuTtB>EK=eQeM2G(+@@4Nh?pMXKe;{F&U<_1;0MOU&->qYZY^|f&CQuf!t
zLbYKHe-l`wTj7Om=!Am)I{vw~BNk=RwN4O!A3;W9UwWs@uo>Qbc=sn?xQVWwd4wh}
z;W<`uqUK}{eSgb$R3TQnJKar3AU{Lbf?G4Z%qCm}pKJO*^Mkncb*dO6v$F>=X8HQ}
h7fPf4e^t@jwuG>0P^5eM$m~?Jgk6Z=vA;cf>0gN!a%2Di

literal 77524
zcmeEubx>Sg^X45iK|%-+ENBwkB@jFW3GNnTa6)hht`P`9LvXhsfx&~@po0Z>8-lwt
zFvzgO`+mQzt^Ip&aW
z+`~ct#HjTN0s4kxt|TvmzN0VX>&8Iz?Y{FH12+Jm`Fi&Sie5Xi0swkILFSdVSK97^
zuiq1^X34`LPY)qm>HcPVhpMf}aMFj$sVd>7?DsHovTEL@{3MP4M5}R{6$;Bd+td)F
zjSeH{kmphv&1vf=mg&UTF8`hSqocYfuhxFll~w&qP5s{B`8jNWsd27(z|p!4*#s{0
zf6jk3FirMzVcnX=3vbQ&Kh}
zAqKL3we0OR$fF2M*}h+YFH*Ny4Ll2lKKZ3&J>Y8_w_P6<8XAiCg-~h@hA(`H;f|Gc
z0!l8+$&4Vt$8e`<5Gl^ItCSz
znX(1(Lk#eo^dBC2Hf4_@NN5lxi%q_^P61VlGTPqjYCB@1<83gIHkl~5jEs!-%rqd7
z5gO1#y7GhRHswSpIN>&Ldd8*q%}Ov{;0VX34%s#KWx~McOHK#(e2Z`Me6M~4J{HxI
zky&dOz-f(4>Za52>&l&woSQx$poX$lg&I6%WX!?qz{%n($l-7FdF%OXFr9yc3;y%w
zs-SSo0Ix>~B;!ORMB1IXft(tgee$-Zc^H{Dn!uJ3RHkH#*!@QF-GVTwN*OZ|;~h2+
z1Cv>mkeHXP#ZAh&#~BA)A8JoR9G@5LH9QyH5)B(@Xe_Q>GnDPWTR9zp7eM^WvcC$)
zJ6W3voD>-4B+%L+NTZvIe!ChVERxbLwQ3@zW_`<9JYX7{o-Lmj#tcx+hY5k2?ibT#
zNxl$(pvd9H)k@kf_(5+)j~H^gpMnDC4BFIp;P~-Qj5)5SlLL#ai{%lE%|$*1v1_|@
z&R+ZIJ(B|w-V*rUHy^T?*Qj&$>7w3M6WWT{>*^)e`Lw?u-;wI`cJk6x`SVimh3DGG
zkW0i$SS&wd&hZkp^t_8^rz!Y7dL`n7>;Wp~1|LH@>_hE&eIEs~e#=fjoFfB#~h
zfKIyx5Z+|AAn1XL|pD7I|;hni(!?eH{QN;Y+&&zo6T!y
z5z;Et1=kiOZ6WpuLK82P=j(&fh5a>+=R75Q+M!3pWNA;K-+%|$K!<=$+~_^)F4oM^
z@n+w(kH|3*E&;;GW|B=vcSB9R$BKn61}Z9+!G}S65&Ing{R=E=)8A|B2>Eg_``fKc
z)zh_XR3AS1Y#T|D6%GtwJjD5_G;#g<%(-smZ(`{*|6~a%f*<5&^E-3%zD4rFurDKk
zIn0UYtxoUIrhdY2VGw9xJZBW@CliEk7H=RK#L0Hi{J=LbCR*b!TL}Tk6!jZ1lm9WC
z{+`qb){_2JNn-Zq$ITTyvE?(b2HF`H1C~^n2fndMJ*)CfxFh@2Nq;i)q6jOW`WZ;a
zUx?lYvk>!P$P!)7v5?ll)s8RI^&S_;x4PJ=QEggYS+wnc9U_nTNDgZyah6Uuf5R-4
z11({dwDSFvwSg32VA%pPF9`ei@!+&T0nMDpn>{RpqA+S;z`4?d?7G6oxo%=h_VU^`
zT|T9INomAZ!>ILF?OH1)|0GTLn+r!Ns#s2&kY?1M#zX|p^@7RAi&EFcQ`pbc_Iy7c_sOc=7ag^y=NRvLzMm!>u43MfE;PH=
z{VHvi#}4pCg_stu8PC{PjrKk4x#R}{+Ag+wPW`tHO^&d&_+shF)`|@9qm7~DF#|zc
z_)=t1-HWjr^oE*FhNx3NYZ(_4g}FC*YifNEaMk(l7vAqybHFlHM
zrPL8`3#tcA@*rMg+}P{$Jg1mlzaLWLy>!$>2vr2Ga>MVHXTeVwFbhA6GUMMSlP0~?
zUh~C*x&VlxO=jh%en$4lqx2s;&HS>1I*g*)?g1YP
zonzF}$2>bP%Dvs`R%5Dkw0g%^7@nZe2OIwj0hgucdqGJcS
z-9)L0ye+yTmP;F-y8PD5_A}pvU8R=!lwbK~_Q7Xs)WAc8E?vg2MeOT6B9Jhz9oW%_UAFKPL=};wZ
zY#xh@_gc~Sv!Rj`rQFt={fkEEX&cp3*T0wP>^ML2GaJ^ijwn*i&RJKVl>t0MaF;01
zO@9x;>vdeu7fyX~l8pz2QyEdy-E=@`
zQlO$T`K~Q8e70V?hy5JGOG}ql?Oy2u@(sZG;!EN(7mLob
z1M(zUj!ZtrXqejjK6yAsmFR=u?LWL#9=oa9{*DdY6hQf}GQmQ|a0}~nio+q4dd*8g
zvnF<9<^`hG4_&lnKIHWKQ~pSo2AF8rb+XAX-u8{W_jN!}q<_EX{neCd?~I;d-_era
z6{QYb=2U@z{hO%^Okk26jI11sfE9J}5e(>i+Dosf$wVAd4vHv%tvt?t&!<)%74)33
z=phROSuNcIlEJO(5ntqit0;)i$|vneNnp6z4tcWOHsiuCt83#UHf-^3K3(3rb0)pi
ztfOZKS!(o;fkrJbhlR^cb?10PY*7qm2!ttkM@xac=Lf799Gza8Zkm?P=Af7Z?)zY7
zP-?`QdHhI{?}z!@qAwzaw-{M$BAlP1?Pn@GM|gUS#rsi00fs*Qy7i>jAKc!}Ae4Jw
zoN_Ic@QL`)2IV%DO*RSXT$%?keGFh+NF0x;)@3NI($_Fb@n~iQt0cMQ#ez>eV$TDK
zpoYn#G;ytp937!ZE3Kl`DxqsnE4koFRngo
z;lCefXC^Q4f|^Hc1!LS{(Vrg~?8uoY#!#0*_2sx3S8k`#q@x|d$I=Vv6`_M5-P
ziqxuK(ZjI9NAH!A0h0{0j)_84IyOmSZbJkW
zdsqayXX;KWZH)hfE+I#5wIq*Y+YvC&Qm>AQ>$sGPcr^p!P1E*>pV3kRDy_M+&=KCP
z*{TKIP5}$i*$`U-QJVBU=+owY{zduw}Y;XV-M^>~ZzX+0MBCqH9v2o&1AWi>96vNhG+FO?jP>M{^N?&eDe6X=+mhAN
zuD$m+*#=kURf@G1Qt(?CCJ=O8+9%W^0)B4+aC~>AYY6uG|w-O!YM?
zG;}oI9>YW8DU_1rRJvB}35c-if}0yx6XK^U?gQ(HMnNh&_UKc7Ukkdig{^+lz?
zx*zZqvVJX3h$XR}r#`HeKWKSlKOT`Dg$#K7O^sQ&Tj8wi$
z>y;ks-9AXzL(0mihS@=12wrIr>)e83VsPlAz4Gb%r`bx6!~e-@A%s#^s^r|j(?cm(dGM@8KTJbnjTzPdxe&pmlz0C|v&~1FcW%Ugd5Sf~qcc6`
z16!G;s{3%md8ewp_5-RvC54#^X_2&XoS>*s!t>Cnp1hWpPjUXQx{5pbzAP8k*&a3R
zFBXOCnY=8MR6FC|ay7^Rllpk=(ny(QTHbh7QXRYQzHC3ufyf1L!2aSTQdeZS$mu%G&C
zS^=vO)5b-NYWZ*UbZ^X`X=cX!B>HiTQqIdh?i&tzQ{#yzqUXJ~CUbo0S#CeX?YLXq
z=|ELvH3?t7h(OyX=O~C!NqjZE4nkWZXj#kM@^ckYhbE&(1y436|uQRzni(po6w<1A|$mlS&92g~8=
z&#z$PaageL6hCG^hX+4LZW)QG{g3m6Y7=y+`f5KxXk;^n-44iS@OiJ5Z`VC2*Etay
zReYJC#&EYDE5Y-rJif2>oOW`5B^X4@nqdb}@b3)M-a@|~$96m$_l;cn8PlV4@KZ6*7vLok#1}^YIa6>NDM>Xn(Wn#G%IkLVcDUeaT4@
zMGUyqTRpHJU5c{A-H{lfSMiVBH1lYRT{$wPU;1C}eNF9N>R=1qV}JVSF~{I<`?KN0
z^PrLJTI|u9JAh*Q*d>y!G+k(Iut9n2@xXggxrbAsN8Km|oj}F-mZVHpCjzA0{7=}$
zuh>RLoa^RH3}>&J)Z!k#Q=gUn5RxVNlY)}u?e3!fil$?o+xaY>RvICP<-oN03M;{g
zK4uH+W*rNH+r=}2$5JoAIWbsoQgl8IH+P#&fVNAG<~V#3*yE
z0qwE0m+3mlY2}#&HCoQj&x=ffS3lm5QDY20yvi`!ez_pd$!+}>*1>IDA&*tjx~~>W
z(69B;)=t$eB|0QzqD9IW=BHE4gxULf9f#wi|nU}yvpX`rP0Z2
z{DdnqdBL-1Y)3aT8(?}V2KQuv72H#-bKA|mlCIUo8&~Tzn68S
zKA?UNQjJka7?=eR=H4{V6PmI;q5|Q)l9^=vkS)HId@;FHLdZYY!smAN#n=(is9w6Z
zLK`2#T05?-rJGD&+J(l%7V87pQx%I%>7>i2o$$8GZ1&$Jxz8lEGAQ!{dIT(Sfh*N}%}nZ&
z?DR1;L#l^z8TzemT~IWJyv!#YeV<^=I2L5e-pQvK`=r7dDyroAn4t
zt~jF__V%2UP*eYbtpHF)}pt*?pplD_v?m#HcW+MX;W>BF0Ka~J^q#i?|!oY0QHg-Z)+aE
z$$^;PRX9(~Fds(VLpa_TKqYth0Grt=F}!Bm!ah$eC>)eU!vq1Pn`hj3o%R$p
zE1A%VESCijasvck&&$qy>;i*ERE1KT&1@eaafziGza<$?>p0u$sVSLD3P#0SAT8M+
z@z&yA?|mb*q0Q<5-V=XIQb3AvSVCHt{lWXv?mtTc4@?xkr0?)5tI*0H~DXG
zG56{IuV%suPRuZ}kQDa!McAO$iDs47`%;h}A9OvebWFTU11)MRoO*Xo^5?z7{t`NM
zzFS!%D4Y*xs6N-i&GOh^UZBosy4C!0Jf`9PH%{lDEQyI`kIW%_9kE0lk3u`ZJFEF<
z4hvtC@WlAuLZcon58;Y3&`U)_px@f_mOGv|>XB~1TI}ZwzABTgC=w^uLz-w<678<7
zL5ly1THI#7dOur7=MnJ2QhEPVsd0ZM`BOiPhmta$d~9{~F9b?>eLO?>(KHcqa$@eX
z&@6=?Bo_a&`Zt|UwI^zNx%IfO91XdhdB#T>dEofaqj#SMkCT0(U4hD
zC2S!ZRYG9840>!@h%|4EZopHQ_=ko}K6*eOW&!?f(rns2OWk4SmV9pz*BK}1HPCc#
z$))hR?Udlw`ecxdn?ZYg7Xx^4V1)2`-LY+PSFGuc*Xd`wfzm=h)2UHaxpL5v69Cgh
zrp#DF9dQm)s~Sg1YWB0<-qEQYyiU7zGk8nJcL^}q)&xs16|ewh@dL``Cr3>5459m9
z`eO0K_Re~=v^*~^U*v&rUcJ~esvyyKU%s~GAJXi&NRlQ8CEYir2;(BYcF`YR|0$WP
ziBv|`R5&5Iq~OF!EibZ)!ew2EgJysS!0~UE{m9Vy`j@}$ee>O4!mX|18321c&RhH}
z6!dqEmaG_g@unZ30z?7BM8z7usdzOMP@Ikkd!L`48xNRwxDt=qWNxV08$l;pg#4nd
zyZ4EV8FLOo%o&1gfeO(xO#Zv38!)cS~D(_c;~a
z6shBipdwSezTP|gKHJPh`>vdERneNg?E2;VF0UHCkB{7IK)N2;9z^-m*rDJDNJ6ypLv-I2dDKz_{GTx23E6
zkAf{l*?ZI(jplR!M_PdV*>`Ok>L?j1?C$EILGHKtz1XfPXO?s??C}Jhqzb2z*~je{
z*+*d&;3piO37{A)2)j&hH%?Y%_NO=U%yLwLrv@G4ZY!cySHghljVb}KSpoL^Q(`CD
z^)NRZO35^}DYFyZWV9NgZeadD&rkY}+DHP!dEwe=4r(oHC6tcyhx0JFYvpckbBP+J
z*X5Estr(xQh5sA@=J9Q;HKni?{YH@@Nfw$wz>?zDrh6Ry+i7;@T1ZO3#o&so&}1yaE9XR+
zzY?ubMtA0uw0R1h{q}plg@7dmhW9l!xZ6;McngwlU=(UDIfeAiHY^r_7lNP1L=?Yy
zx^y5+ISkuVD2{zOLWJf-Usr5hXK$x;ItWhI{&_f7hhd(9+rtWk03Tkhd76PIX76a-
z8lZa;6UeQur;{itL8VJ0Lw{i}BfZt26A
zejtq?i~PI$VoKYAsJLETNAm@@_Acfc@oiVAf58S8^uoDxgX5eB@uNgiqrP*IRab_3?;I>7}ftC$>J#1zZ@%o3=39tH2qNq^pdi#fw=TUz9Cw_Ziv>tn3@NDd9x;VaWol9jX
z4JCuUE@dPNp{oJ;R#u`(BRa8p;MFP>_$zGoi;sT}iz?|zG4;*fx!1sUwBxSfXlC7?
zmu@1(O-_U@piuV?=H*EjF_|bm5grr^4&t~K<
z>58$PX=R2^LU04o;N9h87kLr-w0e6^)w>S_Q;dN;IQDZWdSnrlG)S6VQu&e
zPc5|_$NmR7p7?WPui>9#Mb
zQ|ef1^jfEH8iwoqU$wrhiP3r_Uu;|C1h!@qdBl}H_^HPLbi3PslRX%|-~QvxoeK7l
zmO$E4TDgG)bmLRkx}Ad7khL0p-N8yuQjrb*MT$2kR(lbb0MQ!T8R_J+G
z;MN813Qjy#K}D&hSg$7336X+=vECOQMS7z|AKO1LZh1a)EG7p-het*1V)o!D1tCP&
z`f%mm$IGbVY@cF42?JFF$9-M0_YGaZ=^N60OR_VIUuZ^ambIV~-1s*AvLljy9@qhm
z_sj-zw$+6)SF^fLz4+__F!0phH}C-QSghqx2LqyTJozR9y<(*gH^oD@KC@7QxL!nN
zw_+5#Msv$bef=PwRf?8ObWzMLf?kPuTq;%9l<4jT7a>#SH}On#7^sp&wjxZFm$jv(Y^Gj^Jf3)EEayX_H(^;d4
z6eDfK>2lwtdXU;Dk4}+cvaOhUdoKF3nLXC`_jB^zWao7WWdieIw?88MP1Cw>
z3pItAf3{B-%k0zn5*{2DkoqX4Jo`#@C^m^EHI3HeBjFYT>N)OKMw77=d8DzF2-$L*
znZ2Bg62a#Vk!KG4=5QypIEZF^TcIMYO}b;?n~I-mA$3o_I{F>-P?MiKji}AW8Fa*v
zL`5Xed)-y$3yUFaj({`pJ>k_;KN+5JdvsgJBZ6vWT!_4L7FF}!J|T9(S8T2K(qn#T
zVNb*2i=E6cu=yE5wIMX|M|HL*3o2ezM@sywn73VUvgTh+EW{QI5F^lM&IxK=nV+`$
zEXw8klHxtF)Oy5V{7VlLc@s1;s3RVl??a34R|bHDsagu25gBJ08b0f6w`~P^fP|em
z(w&^{9Ocr0)C&ucIhyMnqHOjT|2kr3Bze2+?t%N>tq=9y#1ZU-jE
z?r!~)bcbueqBt>lRnExjsd}p;L)OMzY{x^Sm%w8*#MhS9R>Lj_4Z9idIfD;%fU=^c
zo14!fybW-W0Ra>X(C~v5*HKHAu(UjU;L9Yx(_~9w6B_lQV1_5~vLV)}-|&%RS0JxB
z9ZU2D_lI3(MNie9>iGrebbqUPr%6Cmv#WT}o81P4N>M3JL_LsENrG%*tFccbo~^)lKvp5S-V7>vbr3Z8wND2?
zr6uWg@FFlWE1R-GYCs_#U7;iBaO}gJDmjU&Rb$yBg0_{H
zW@AzPaw51!L|-Z})i{zS5T!lk3$|I=bXbQ4oxuyU2dZ_H)Q;;B9{plN)e4w4GViKNmSKb--GOz)D^A_B4)DUj%a_evfQ5^W1oC6W-?5gVg
zcHhx#mrV7Q1-BZ^q$3WEW(DP`eao%z(Ft5g0OEMq^7e{_v;gFTYGU=AbXaWuE%c|T
zdySWBNid8=Rz!6}oM~a6{H|t9+Gt%d!ptZD4J2KxL;nC0i~8^YVp2VfAYjUAv3~c+
zvVUWXN^;|X277v=bPv1;(#Bylk2rK;T7OeJ-X$-CAwg2
zg|`ad`$nR62R?V*s`|7i=sGLDn=AGrLqXahX);6VhFU;qI
z{K*Nh_?tW>mLrlH9SKJx{q1~LI8h|=?JpUKEz0=T_NLkE#A}Y2bv@7f%mmL?o+|iv
zY~+C_E=1)p^NjSm!Qu+qBD`CE;JeHsOFyM=yB3CyJhzb&R3Tqq1lRZr&A1}NIx5g1
zP)O*U`v73Wq!q+b`Q}lb_jS#R8d|1>27c?p(?b{GeSgqOnaYT*;VBw+3y=0rbiN%L
z0Ul6k{6*7kFT960ZpuTAfF*4JW-t@_=Mj+Qf!>2`ja@H=xYk98X#8?;Ac(r3iS$O1~FEgiv?W&F&T+!fB-GYV)PozRNhSN2d%6=^t
zBT~xFQgtaPh6P$Jzp>3`J~joB!s=qmERDi%8M`H*7ehZu2k(EQ@Qr5$!%T>O=NaoA
zAa3z5Y-DS%Q~?F~Cm7vZcb=$tpWRZqp`QCiaKer7(t(#G1V+^AIJ7AF?u%s7wy0vu
zva>Q=^myRUO}}VRUyzX4>1fXvMU%Hrx_CVDe1?Qb$yX)xnP=|vma$!}Re_(nkWtE!
zJ;K_aYZXDaW5~)lhPYGzCGZt*vD`Uq65+|$kU{%ir-dr5K{%D@n3E3aFlnoPJ^Ksr
z`zW!@lpoS`;i$mb3Vu7yJSB1xY?4w{ksq()Ffajn1)oVzQO7YC{ug-32l~OKiEC2g
ze{o&f>mg5Rl<~31CWiOntNmE=LJVyuN3UfNsYf+6y
z8(**@n)~9)ESx$8q_?ynd?5Sk7aUcic~7EY?}DaS@*wKGTd0W2m4fbfy+rDJe_mXc2=p-3sSkO*`xJyiU?Fs{9_km{Q#9yb@J
zONnuntZpjBpyw@K+44T~p!&==1C9Pw%sers^x-bQ3Q^s`^Nk6C{N}qK7YY*ZZG*&O
zMXK?BuZ$bj#BzS~0!Oa*V-8?_Kb_ep&QGJ=vpeWbtUccl4U}DZJ8!-I-ky{P{#a-y
zFMGspV~^06@Wayu^6p<;{y|OOzWmYavVd#a717zAvjbhM*gd+vE}STQ+ACnCwTTyz
z!^Vy{cHcddS;GCEPgksi6SM-7lC2f(v!_IRthUueYgwy$M!TXCv0oEM
z)Be9kU#L2W(()K>;XjKluXjqET8zV!_$bgk$DI~%^(8<{@|~JQ{PE1JSnuz$`PIn)
z&-Q;79OSu^7q%aXa@_RyAB_Qic>J6acK@T{e1zQc>(bd%|Fe&x+EINs_Prmt=GB?S
zcJ~|z1HAVMY6R-ZZiA!zv#wWKzr)5gJEyC(-|nvMOxscE<19J-TFex>xfnB*gY|xg
zY38vDHOWvoDMsJ5iVl70z+LzDuO^ZrR;M^e_gL|B8o*#(!qzsq
zGOlhMM9h*ZmWN8{IW7gDEzyaEm|Z^t$Gd*>>jz^}^|k^Hmp
z7_l|B*J9m6ZZmRR4W4CUK{1$_8FK>7{$@qLZ}JaB%SElV+BmU$OmwgMR2=s_ndc)S
zrPryQYfZxXdbo?J9)MHK!x>FhU^5#6CJf8(?_dug_FlzS2?}>{J&r4m2=yBCfSUB8
z^NBP}LOtUM46%66YQAg0#)&xg+>KWo%xu~JX?eiW`PrmHK;FFb@Xh6*Y5%=44UTw^
zNX>VS`}n?`pBS#G&<&@ICTA_RzUO_IR4=$cRio}N$4E|lu6MC^^NPm0&Tcee7TSki
zo(^`I-9G@-pF=54oL1NF$ed1|DFw^+!AO6lOOWroCOx}oM4p8
z-sG+SCj;HwH=BuLN3}D{efI7wSGPrns-TAEewh&?Rm*+dug0u|2Qa(E_d9`FM|tR;
z+RXXs+SN0^b$DN$A9fKD5F}GxKLSU6n?-HIA@C|oI9j>z*}+v+kDs8Rajc@pa{VlQ
z`v7>q+{P3*XM-E@CUxRtiekqALIlp!QZoGR^-}r8v%Pl|j=dh>`rc}E4H{md(c{->
zz-=e3m3eS}E(>_ctTLnPbfNcRF}KEd;)t}^CQTY@*?!FE3X^4U=tbr?JPJJ_puF|o
zrUjZJWXHi7fE$pH7e{pe;77$idUO1dq4}ye(eRvGuAsnacDVOO4(sR#IkAxsK<0sODlO|N==onl?fuJj37KHf;Sei
zfs?m$q+#{VJ-V9~9!zV$hrDssDQAWoKcG8&O+RdkVCLNBvkfJ6FMSMZHO54FobCUj
zIcD>~Kc&SsLTVoOL|KXB)%$&j@*5;+t3nr;ybl)~dn74JUo`s?j&NZ+YH!9(yQABq
zEZ^|(DI+x)z1|7HY4W`y^kmmIfF{O^fQIYo=vHxTbbD&1EkTR*h6T%#6W#kFr(2@h
z6C$83qkpnEVm@q_#8f5l&ywNDn$8-fKJ(C5`gwjrWN+@`qkw9bQPvEe5(6w2Ut-E%}w;KUrff+i4+YLuVs@Ui|JAUC9&t
zV5)NYUiC=JDUEjoXyE)E4V-PR$xo8DnYw8$xYPZf`0lwv96L@3-&I*Bc)27E2H{
zy8h&$&nZY{BeFC}4B+dvrvoyRExja!j)_8P*XDfh2lU
ziod%vDln%R*I-)td=)#GXkTmRM7B*!Gexu=z@ElcY-rQyxSy%
zvp!%qlEAl>Xvxj?M^hfHfc;(laCN;d&pJthhAFDr?JgoQ)K@uXecNxNd%%0WG*?Wz
z;CK#Wm3Q0Zrk?taRO>e%XK21M<+J`{otX`^bzbkBbIgzvRC5RoZ0BaxVdz>6djK71
z#!(ErZ4b|Qxr9>0Ppc5Agg6?%;1ZQF-pPgI4qsLeRf@p#BqNVVBMT^x<
z%qeEBR&=9KtE9F+j&|Z~>+X~C6ZAoo09qZ_-TaKnK;hp0{FceA`xXfceb*5;$di;n
zpw4MW@H2Xex*o2Gt0M`6gv`W?FPT|N@2N>R`<%KoNjKmtF&bx2+7XbzFnw|{qRm#T
zwmxIrK#00mOEcEf=&%QLxbCvUE;>6zMM|&D{qdPWw~q@`%+|b-mB89*_iwG1K&G>C
z5r)(l-zhZp>w>!3=v*;KhKU~c3Txe0_Q)_|SFfIKcrs;pd`t+zNeiqB06`Sot54~W
zSviS75JoiC>pxrav%Szi|B{)Mw_OtX4Ie9D)BT-$7G(^?gduMO-cfZ^vei*S!^;s4
zLNcfcLwDZ;JR-heNTW6g&H
zk2>F*7Lp_~zs>!Ir~$w9J8W0E&nk1nkDURn6&b9nfjxh?UkPV@I`=&L{qrim`q_W_
zdvO6NapC6imJ9VY^W7N3zN6_K(w+OnYnTTBT85(fj6SVm_kJ}hhSH3`R#gPw@j@HA
zeHaJkC@iP&74TT|-E|K;`w}`2(}1EC;?Z}g8RqgGHDYQ>A_Tl~`ZpF!=
z*`4Q%7Y^%jp%nQBXb(Y_Hra%Q7PcQvE6J=%EP~ML6q!w1MD+B
zL8%#|hcN(@t*QRyf*Av9!5u>)Ca1+)L4-ahmLt&MQ@h|$BoMY_7-Wxihy##7m4E>3
zHu)&X><-<|Jx&=JfiRc}BjY(*(?mc2TQ@n?w}KM7Zocs)^xgGRMI!oD|My)#kXS(s
z0NtOChG?uq8ej->v$nR1gJ{lWJ3y2O_T1a)^UY!f_8$$`+o1Twj<9s%KI%zPCDsX1
zdViB&rxhj!iX|qIp7V6UiDed`Xw1R*w+4~ai{>^#p^6zGsLic=ERpW(ZeE2NJr0Sh
z_z0mtzQMYR-r3it%~f%4AqD;H@e-5lO1~zGkD{(}5070qmRz9qnjFP0p9!U8v^gTn
zA6)N%j0j960Z!|X&~DJADC2pB2{AExs0v6}=sypQ%xMG?nu2-xr3IqO7m4em&%#2z
zo;XKY$;xP3N&uNShtD9o7xEy#$5Mhp>}J({+-TyI6$rpH6@_egp?@u?KXlI2aBtGB
zh1j?Gy&BQXT-2X2Ul1hZ%~Kd#s}@*b~44vV&)L;8!Yn)@Nz
zJH~v^jmuDWJDKq$BvS%ET(6>>s1q&D;gn56?K_(Up$JyTWb5@&FaLv0JFf
zD@SbS`$0Bl#!u4k?>PSGBr$~yO&>^N?u3u6pr1*_+F?9=3a2it|(w#!GC
z9FXwtja>)9_6A`UJw%X>qi4tE+QxH$1Tex`+9>BTLE+hDKC7aF2DVduG~n7=mWc`;^?AbdA?RVyS+Nlolm`+uGpJa#D+9p4x<5+A-$_gW>Ej}W
z%+meJLeAI+tP~Q2NKj0d5|FuWaEQC_`wz`%VdG=^dfzGCkWTV(Y6)w305J{DFxHOr
zQ;eM|35*@a=dqjsSFroCu6`{G9IyD*z4AVucu~ObK6D3B=>)oX0vX!)>YiQ6VYVRD
z-e8Pm0r=DW-YABh4c2QyJh$dSlf~v{&8~xcK4d!&>I`waH9c;>Otf(T*Oa;z1Ha0t
z3Kzdj@Q_?}eSo+CfM@&rU7s!!M?i`?$Q^Oj8^w#9r(4meh{6_o5OIkg#BM5h%(OF~
z%nO#W2NYH=SdTX9wt}CZXo9%wt-@Ae6
zcM%+M1729`!xCezSG~X9crpZ~koE@%^){L5w1Ok
zh+bERj}8@{0d88{0^HR92+{FA6d5ai%lO1kzM9(Qu!Qs^(B?KhovCa!%2n*K_NE*|g29eotA4ahVP_?`Qgni%eFw9D?JwAK4^{lHQ`nok_G^J1z=no9O;h}FM8S$w195+054tZV?$gwvpVx4NHn}KW1yk$cWieM7-{teoPyySh
z!SdZlfM(-kQNgYU(Tj(b
zRN8%+AkrA;HYGfcnWl&z5@u<6bwXZPa_Lr4MGWIlD&>{X%k$#s*>C|^nk_)oVoDU$
zL7|#;w}v(wPR~L{kK%657XXxyYzn^Cz(LJz3*A1Lh4c5VN%$&Kgs)eO9`$7<_^cS5
zqZK>A9`bHRUjFBs^=8UR7pkC^XD7u#n&a)QCc=O{XioxVJlA73nA4zZYiqc*yHSnb8
zxm%nb#B(s-yg7HY(`PMh?u-rW%Gt>B(Y!Q&lMWgL`WLNl9li=~Gd1vzv_!A}|NI*0=ma>w
zgp9PjF#qtO(jOSCy}cz_mhT&|dGb?>>nhhMZn?q~Qjr#I0a}R)eV3MUZ^>J~mFHPY
z2JYeOtJ^$<1Ty_x%4dcz5blmYtjOmM{6)HaZWFBiGsBRQ8ibGs-(xw?Ss;H+$)L{_
z642@Xpzhg0dRloY4`id7Tk*%_F9o0`uV<$UaICz&eb?^FJ$=&p-P{2C@K)2FzhT#m
zb+L6UKyu;@DYyn+7MHCU9(?AgU60;~-d5;H0MX0EGcG&UxQnu5d&rye7E9*KkQ)>?
z$@&HrZnDH}J>m+idTb(rfO+XfSiEY9!j#&FebN+tAd|<=-p7B3;IB-@MX$Z}JATTU
zF1){VDtC-t{Nba)5)>FbQNQ46Chke|@hk$F3$$PspLBhA?UMiY;AOcgfuX7Ucpd&^
zI%fe$KizsJKvWWr@v!pbgaRTjv5q;NVr7z(@$t-VXrbJZ?i_mACF5#DXBt1&i%utR
z5o(}1&?L9aNI;?H*|!rnpa9UfDWLo`G1b-xTwhTf%OYVu8_KMcqHM+xy}{L7leO2S
zRvVZP_jWHdpOy6&17i1g9z=KDpBs?>cb(GWW-ClNU?6%)7)Cb@F|o$CZzxwc>5Bg#
z;Jc1JVvV*ZL_12G^omYiYB`EsKIjuNcUNgD!Hz~ra(M^>3-SO5j=SWp50;Sxr$LBy
zIMCqwpQ~?nq-S2kba!Vx$twEKcZA6y7gmm?{z2%xP=b%FO#DaKM?9En*0<2G4J-Y0
zV${9Kp8HIYLAF5r9mg-{9ow7Hq4OR8HQ>L){{Qd)&sZQ%UUQe=JHOld2VE6EJ7@Ii
z)aCP3A47@NZXZk(;s)@0c>Q#G?D&Duq{4q}lGkOpOQ5dn2bhKxU;V*_;&S?NpxgDX
zzMw)qS!E>dZ8ieRz=v>YRF>I+L#ikDo_l3R_wCT4KTOXUe2W>FKD4p;-#GiKu&SOn
z+_hTX;ItF&^WubTNeM8T?A
zLr0nc&cO(CcC7Um5J6!&c;lI|Ku(zTe%9OB95ngl{eC6P-2#|K
zqd`UMV;Z5=+|#`8qQ__8hlaO4jHz!-5dL|GL-s@><22rK-aQz?{?O51Ef&`mIkWgY*w6q$_x(*?R9B
ztMX_z_{~mDdReartMK6tkQ{tRho;@D?d~R1zHr&q6kSsV{Ia)XqY>o1`0@Ld2VdL~
z6I-4weckzQnX$M3jW%Y;24s=pelNZfnZYY`N36%l6RtK9g^m1TIH?mH3u5G9=d6~O
ze1K|eF&2D4*kWEsw7}y)smAx$nP4e5cLESYRbFS8eNQWgXxgT%z;A$%%A#eGF1eTM
z#;jr;(Tf`07PS#o=iErGDaeW5Vu3I
zr(Jho==pS$M)?Xi;k+X^h~U}cB)fF9;7X+mj@#MY<3%OVXE^ByHPg>(dn{~@a9(}z
zhbRc_Nq-0v4(|{N2<6H4y>4KrfF+>M)NRR)(GuinuiwVS@+2LCS4tgwy@09gBl)cv
ze}*qPz0T>KwE6j1UV^+xf30v9tzYA1oh|9$COb@H^;t@!4=4B_;p%>`p=7IvAhGuSY+SJU8$xQeNLeznfggQfc&F82KgZ9#$4TD4T_
z9ZR5>iG>HS`zb#b_xN}6N3_*uQ{4=u>lJiIbC%goO(O$FG(V&BN7memySnn12QT)n
zxmYWU4$M8A@1elqO1BG&y_a&*=$jOV1`*EB@-}Fs|0m}dE>!R}9q!#y?uhk8)rEmjIZ3|+sptJ5
z8oLtaNWcQZ<-WP|@VA4;Xu(l_7O=pyra#Dxyy&n~
zp|ui&@^c@(1LlkKd#n9}dS3MZ@T1(^20$_*i=ywX%@6G9fAhg5G*=5$?lgGQgmT0$
zf0+ndPE1JS)Q^=H2G`F_N2Og|;XR)_?MH+hI`
znA5*vP&`DHlpx+t2HgP~3hAjy
ziT+8NRoGJ2IMc!ai5yu$4;x-kWV58kSV5LnZ~g{
zR%NRl{Z@4^0U**f;9EasTcHl-BYTpfKU9i_BP|+5;a0jB$#!HuB$KI$9@FbMxL3E{
zlf&1O;m!RbR@0E%O{$D$)kIP!01nW-nA0i{nc?Eom1me{Zjb#(YyX{LvxgY7{cD~
z5!~Gco-FJh3{n!#fjN+E*L3rxO6=<_!jLp`FFk2c<$@kLvP~i4^c|sszS};%J9X}Q
zGO)pU)f@e`q$(jdd2U=Qu~pJ`Px1jz=C{7ePurX4mGo_|sh`$M-u;N02rHr4TB^Jc
zevH~+`)UEs`_Es{i|r3aJ{4i4dJU?lai&HH=;F9n3gHKxNjKT65DB%J2dGT{94_G3
z?p>{544To+n2IwG%C943mlDQ9Gup>ufp?|l`X^MVPhI#J_PVQ(Z2sO`h+*1MFtV!I
zP`lQ3Cpy5O{+>7g@&qfEyoVr#KR>%l((0)4aex(@ReJPo;T|kYh+B=kM~vhRC~nqZ^|uXa03=
zt_=Luiri?v7gO<}&O13SgkZJ|w1}@K@oT}?8)8q0&u}?;PrFU`iDtudxqyfW03y$R
zbNk4?Pa>7{*V5v+XpNa4I9%s|ae%$Ff9H6f_Ib4MB%0_zL#BjJMCmCbD*8-_2kHHe2~cfIBYUK|@sqaXqqJ@m*Mp9$e0i;Ibxy)3?2eB}{FS
z{b#Qm3ifSK{3Yy4<<)H79g)Z}J`e!JpqFj0?cb7qO~To)ee&bsfot1)Fl}3D<+Yr^
zTfyVX4?h#mmh?7V`Zl{izB}axfOul$sC9wq>v?PMQuE{0hA1cmg<#^|^P>sFmeSgM
z`X{##BZ^`m5<**PUM)~~gy)%lxqS1eVzDpc95wiga8zRJY4L|=pH5JN|$a)Weh+?{bLYel-PUeeg9<5?M
zLk3CIyCVGzPle-D2TBtcP0}&uGjJZ|!-yFlk
z`Py+sL|KR3zOUI2fYnlS-V&q4*xKdkr{a$B&Qu+^l57ml5e7Z|^>uS7lt?YU*ALJl
znYe$eo1D4T`Z9PvHRfoYh6=z~Yr3zK2>Eyrg3I?mJjF!`X>L0ZiWoG(KtcwIP>k|h
zal6_WJO@hvm{cKxYELl^OSv8@Q&}}lSTJ%iywBeK)szBS3KIs}qF;4)IiKg0ObSH-Lyb%YxqPix8@X1+_1(v~yoquv-u<
z-g@a26D|v#jydz=amW*&b;vlk_>l~i0amuydplPL;Q!>Zxw$w~P0f`n#5^8)lyBk<
z`h*;=32zYKbugnHw~Z&k0Ehs<+r}MN7q8rd7LG-jOc(nBL-@=0GbqUJ{n?^~^Qm1_
zGZUPfneKh-6F=EM5Cb;2mi95fJNf++(xFubt=;o+^)MpDqQ1lRmY?!SnSJHErwX0g
z()w94|E&}U-Sdlik{`z^LAOfD8|NAm(FSCX;qottl?2EDG76@ob&vC^zn}7n7Buk_
zRCW{{gBmhvBiYN0DZOCwoV;QmwGJI%^A&&q@*t*E>>BeTGw`P<;1h6u0zI0*#qO=*
zM?|s`*lva)wGfZ-76wX#fLy%24%$fv5R9mEO}1_042C<*3nhDkz5{o$2kigpEzDjw
zoo0YcNX53BAxF#=6R-Nv`4-?Gn5Tb|71~%j*HB4))!au?
z0eL_buz0s?v^KGl0G~f?UPTxoW@1H5Y}^lRW=HDqZz(CL`FN&vsE>W)qr2{%FD~I`
zecTOyeE8l#2P;fWu*x*RJ=4J~3CKn6KxvurDt$fleDkNjuu4f}zV!%nl!yX|w3sB*
za^DV?p>i1X7af{oRJr*EjM>9`ZWq|_!vtgg;X{ISvarh)9a>KVj>ug$NUP+w}a+y}9cZ_m(XmC;#m!lu8xrP@Mii>$#
zPpU%a$S3iKgJWTn?1fbT=&9JlIwQ@e?{~8!Sqo>Eq);8(#KDsPA+hGjwP+dTsdgjL
zvSQ^Fr(`hme0_|nsR8c@*VT6Et)7{nP4m_q<+$`Z`?73=7oD3wd^(CXI*^a@HF3eH+iu{
zj1|W*RY$``%@PQ1WpSUQ|EVJVIg1T_Q#M|aD7sRvh4y!<-vuroWKs%b`)<4Rxo97%
z6Hr|#WB(~j8B&QY#%GAjsBS(A%1+n9o{MSiV+(9MngTr8-Km
z^`ij9q#FO4EyK3a3f)6Kg^8Bk@8VucRh5hJA$B~TIW(~SA3h=2a&8T*@|~ZU^S3Zf
z!-rjPWn)eovP72iI0^JLB1ALP-u2ugqcRtWiFq=;^f5nD18A{rp|e$a-}<@IuCZLA
zZ>+q}%7ngOs!&UrxLEeb2HQV_vRZm{lC^y2r^%6_QKU2S_L0Y_lLTu-L|dLF1w^cn
zLgXOfA2zyE?3*H-yVNwFm-;}v-B^e(qeKaf`cQK`zoQqHn<|Q>2<#VNK>dp^?mt7|
z+un3-+T5-?W|LeA`+ktddU_lA`BD`FBZ6F?mxmdovFfMp#>va1TlGcrsj4vCHhi*Gvc^|G6R#iiBT!1lSv`9-ywM
zR*%VvOT`#jfh!TK<6uQ8G$Or3E&}!5GOQF`92q{X=++F5j6wFCSEsT(dNbqiewl%B
zV09?-nLx2PQENCe2%V0f5J(rt*Kv^ljX!4pW6(UoUuhp#mpXD-R?0L>ga-6_SS#^j
zG5qCJ1{VQ&ELospLy!_Vc7XF2b+%0r+|YzXDl>atl{fwIKAFhO4@pj6bb!v^hAND#
zod_Bc5IQ{FNNj!C@3S8zLMa7q_z1`XiNN!42t2##
zLbtsq5+v}8W!SCkP@j15{U=GgPE+VULsm1ocR+Bfn^94$VS>2*i79>F-LVx`bV$^xN2KZ20@!aCk9Oum@priQ=i
zLX{LRQ*
zLqDsN%iQNUX}+=S)TO#0nYAG{Phy(H{p$VTSG@S`KJwqdlEDLqwfRz{WE%u2HlRGCBweNt5_jCX>{f$ZJ71&S+heeBwV+>Kb<|k=hFk
zC^K*pzDWPDxs8{`J6imKh_j189?$5t#M|I)Q{WQ-S1Hl$ICIHki}Z#%$LOHu8;<}Z
zn~keZ{u*+FDIBqFr9rWkz+tGplSa!$3HF&eD)_$`M@xa+^R2+1crB1uRx%e7(wmix
zy6Ewfq=SS5>oZ2Q_|_%PXL*9qyX>&GgYq`@V-RS9E~kaSdW95w;7%kbN^UX&f%YHr
zPG8+r;6vHm1E%VNvP?TKl~YkSWr2_N{8eR)yNblYSt~J;!;bCBoU}GGb@aGe_7Q~@
zMn$?j=d%|CmzbO;PfpGSM^yyfz_+`Mj3XUc?yY)fFJ@}+I&4b&Ilqa?PvTeDq2DY<
z96rmFgm!I~&Q7T3(X+I_-cc(pF7EMaPfFRs=x&jKMSBuhR(9~UkH%U|WSP~fT6j7_
zf+|Q5x206(mu3PczxN%O}MgTdd8
zDXspwYe?)!3j1Drx-t#YDXKCrYzraq76vmB`!l~XdJjLcue90%UcCGLRayncz5=n&
zkMIFF2j;qq8&g4vdn$y%NxK_E6zPl`M<~HI3;kc>vki+AC$71`)mNo}FxCgep>L`I
zj#%k+YGCf@MFj$1Y~$vX1~1Dp!0VwHKa4xyM^3FANDZ^QMgJi}m}za3z^U%Y$#N~F
zXF%L!9}r&m&;LO1NiGLSpA~yOY-N1`#iNG2M{=-%%TohpK)%?e^TB<@Rn135!MBL$
zBvYIFd&H`<%RVSWi~u{}vO%$Nf#V^Cn*JlD^vKn2k8)e^pFL2@`wA6Y-yO^P;pax^
zjArs+XVGMOFTFAU0@%PF<^uNNn_tnC)7@3b8msdgyD;n+!b>7X?4QM`Q9zYEIn3c+jyz2>-!{^~UA=Rzg>Q3nnd>(p=P$8oY|6@CT`920R7RqrrJB
zRsN|);n+7i&9!e-px#3B4Yk?^OwDrft9MGwl=nuwHGns5?CEiZWuz0
z6L(x-uTa4#uW7_bF*@u6@BLEaf(MunS$0LLY8hdYMe99q#XTq4O5fX|u7`8RO@=j+
zpp~Rmq7KZgdnsH(+7%@JDuMRZ+W
zp+XX{uumiM<&!q;Png=qK??-|qyh00ydS0M3sghC`N#QUTvM!HpJ#ns_}uM#wnX&M
zq;EZ%=~P6&4nu(7hUo{N9%5wn^T)$R;Ikyo-~uknZQ>^nFs%IDXF@*+2W>+qpIyxq
z0sIMTej%C!urKIgNZc-n>2Kh(SUY%AS6{agMK)jFsm}>Hc2f7jXnBRS=RKJsS7NOC$@2(aujPC)U&6$8?xC?>Cqd0=Hw*a>-{l${GcyzANWTiM_PjxOZlPo$x5$D&aMh0G3ei7
z%dx2UdoSwiW4w6jxFB>j>Q67RBesha=!UndBIQ%es91$S1E*==NG>5)2RQ(iQ1<
ziA?Kn6VpU!u?P=CQO5427XQ$3
z)XDdL>>YNfPWz8H#KsG@*QcKwbJsspbC!YJ)i#whccoVfJF2NY5E2MR|1_~vZp(Hh
z-;Rxq{r-098d6Vy%z~BjEx-EAjr4DB{lXD-_halk-%^xfjEfd}rk(RRD_z!X>9!Oe
zq5(LTUp-61rG*gywOjMzVg8tu&!X@LeW=bT>|$b{6R+s^CL7Vn71mILk~CoSxQjald(2t5;r2E-=w@^bqAb$F!eF$OU2a5>YT;iTXrD7q=b1A0J75fuPZvg
zq#f(TMPztp7|hFeU3&%UMrq$Y-og*klo&KIkhq@XEHrVJIaWF@z&r4Rm7yB+0fx=o
z)a3VVf0&;|#YKf*3;)C2x8njk@;v4TZpI)6HC9saco7KxAZpt=|NKN&`58;^O4IeB
z+O)G@^W9Vjg2V!9s~A8h>Y`r~_^Q%`Tj&6rT+xL(i>&j>zNTp@a5Y&{^YMx?6YND!
zJM7T4nObzzJ>N>ElmGOxRMtY?gYSQnPQJ_GVF%AjF5(29Lj^Yz#=mlp>7RXGyAADI
zKJ`>KY4g~9ijT1pHh^m;P*Z?W6?^4@xX1+Up^cO3GQ-CMYgFm9#-JVkSeuCT>#~dbV(}AWKMXaX;s{qj}cjdP@O|F*cl*@hR+}0XOTv
zqoRu<8d0T+0~ZUB1W%O%nv5mV@tSwGR-2ipp!bX4JbwZjH*5_yC_Uh13zz!sYunq_
zyz-a*5jG(b5=&1xEhK~fZ^}`Wgd7Lovxaor@P*|VRtqtqx&HQCc=;r07sDjQci^B}
zm{^@f`2@I%0NP=9&(k5dSzfoH%{Lw9l+bRzGTc*?-IjKl7jQRoy_H1pa_vvpd-ei-
z9MaPK;_|D-7<+HQ0WS%3a#;euE27*{Q{dwb=~?;WgphslDVrgr^+yi`x0uTQUH@Sg
z5<3b_ww>I!YhfCRTB<>)=#CIC+H`Cb|C9EI!50N&5LD>Q67%~$>hClobGoCLz5&k(
z1uvU(u5jN+w_;$S!96M9ngTw@cp_^QZh#TcWH6No7axbY#HYB5R)Aih+5fPj>?(OR
zvIlQY)Y=G6$5ujYwNt;ek~6JjVIL)5It~x_LjBLkvxIVt2ilGtSmod=0C{A`WIo^_
z*uub8Z?A$%qY#2-5^>iylE(6uqpOZMkO6jAg}$Zac^@|UN|AvC2j){>X4~w)$mEdM|?*i&XFlQ)iga@OvCfKZxB)67EMVVvN)d-5yZ#Rk=OB_-i(L
z@0+vop^e2e&1a|Fp!wZ#NFX9p^K7Gs%6hBJA8Cm(%_jgvmPTr$P(!r-h`k~PbLWV{
zg=Cda+m)aEMUs8U-RPsB`Lg=qdDy}0$P}84cNv`~EVPj>wh|J)Pc>;45|7VZQSS(?
zHhql-j(G^rFGQF^mF}~ozv!NTxhY$)V>*#%3AZKQPB=fU+nCEAMoXT$KnKN9k+(EIq+ftmsY^<9ksHT#mb3)-P1@V7S35^
zZR)#LAGEkpfP}cmC!})%BXf%?BU#IayRaH;Qrq)4N4c)=
zv&KVn?J(7Z_#h5pixVto0tFx9X*`M*|0LS5B!k%e;T(Ma6q$W0`&Hx~(`e+}fkH*O
z-Q7k8C_pzDU*3mu10AGC#~Oex?lk89)!#uWMa>6(GU#VBt1Kc=ts{eG<1(GTQUlgw
zA89_C6l8qDW%xp=whb;b?M7(_E_}i75f4S3=-}L$$@o`TC|mD3F|kOap>Ke0S#gU`
zw`J&e9V`0#4xZ^vzj@4Z?%MJyHe#I!|G3k`Ex^YSwPD&vY-caq>7>;hw<@;lFNmzF
zX5dzzG#r4uFu<$KU${jb$n(GY`9hB-kIl|w!#~GD1KwePJKEHXP;{8s7MM*h#UBUu
zO@%hA(8+Zje;}<#EWgIp5=B=oj#Fp#Fdh2TKmS1{9(HVGkN7QTeQFr+8!7V&!DRRA
zeyYd(4HnCXa0~FW2SSm^h$4*a$cBSZU!TW4k1W=!)9o1*Cf#P;cl36pa8%+1#zhbz
zm93;a)sv+0kj56!?qggiOoA8^@tl0qN3cVba2?J%+SqWa$H!8(pmaoXp#vWQrDW`>
zNFNj*XNmI~YRi3lYe_AOH}uz>w1pH0OmxbvCdN~-G#j(k{9GTe6Af~<0s>(KMfW3nS%hlO1dZ3^;`QLP$pimhS
zVhy+8pW}*j9o%QH9WTHG(-zF2IP!hoznFme2L5bVaj1vY*o$$62e>Q2BF$^|AkWzK
zECmdFJK19nk72JFRldUlLzus4M)W+W;jf4qzRzu@*`}i8BMSC~#{^8F)C%|xFCvjz
zC^KML?xxw9;`zzn-ImIY7WaLb!!b@X;@00VshFl0UIFV7Mv`s$H-@-i^8uH3-+F@v
znP>r|p5Wr?NSUTJZWQ~kF0J$Fkm&GDi|6Nng_X`g8DK=L#}a4=3(;)d!*eOJoy9#%
zY##Lwuw&}G=b7bv%qoY6zisF1#$L=E!-9(8<1pn7K~?-Dj=SH~|%Vw57Jqu0E-
z$aXHcnP6A9fiDMYJs1ZB8CO1!cEk53#1|!5P8qJnSK=oQQzRk|O!MW^_Vvl9@WMBL
z@e&|weyO)c#lVc;i9xz}OW~hvqbAdoe``5pnAp@dE;N^v=Xsu501;Jb@hkc
z7+amQzA$bz$#V2ZtZdhxo3q43x&6`;v4>}63op(OG-u+(c=?v(l$>mvMEklLK75g7)2r7m8}iGy$aKJvN*(19-e-b{8_XnI
zPKV;Oc5tk;;l&9s0thJnGJX0@R4Ql66=Bsjj+*HC*KBJ3k<4~jc=0|-JSX;~-tV+A
z5}><^phy{D?D_re0=|JC9=$z~PtPL>E?Ex870q(u6n`uwvjPqd3w0F(dMK6kqM2br
zSSDZOH`{+W5=cMZY}6B-huxpKUw%eE@di+>x44c#_H*d2Imy_LfbuJ7J)lneb=L-U
zmNEv6L$&;ohkTm({WYxixOCN5zU3vY8B*^IT01MxUdz&3@r7w;!3*eT1F^8sSdnGc
zc6FPx=%WBVsB6IQ+`NnEekI&(YamFac(S{kMpsRL`UlA3vo45K_iL_Q>+UwZwEVlE
z7f9>aNnnehlvk8?fRfSg_2sDr%Y&AUq8qzH_`{$NKT}05?oYeVA=c<%;oy4cXZoOu
zA$_cQj!pj*I<*=PGuwaQQxU}BML(>6;ji7qWDGx&#Q3n;StiN9*9{WPt8hd99I@QR
zPo4S@OGXccRo#nSP+YiA#a@I7p1bQzlC8EoZ%i$eWpbwbUl}xZK>Eeg{NtKsO_|=B
z1}FwC%Q^+{Fa2_hL9;6CK=Jqj2sB;MJ``*=B2-)9vt_*I?zf-&`IyU*(Z@pHK(`A$
zhIl%GSmxbWUuSi@y}$Pg%35X`eAzhK^$6jyJYPQVds^MOY9N|h?A43#6NGu?*78;H
zdz!UcL?TMf7nSC{G5Dc#)z)_zAibCYXhqMM#eEXWLYZ|>^BfeHch>6l%K>`PFT2Rw
zolnJfs3=<3$*G@~7Qt
zazvN}lxxi0-f0&6C8;4qicg`u{dsq8to{puBRPXDBc!K1N4!5-r8h3b)I)O)V>1w)NUcpP4?l5Wo@^VHa6Z8twjA9SQNLQ+;4p7YuL;U$
zRQNXVm@tg}A+38qJY}3xFL5+ZQO60>Q`V`ISZcN9Po+-mI#6w|U}Ix@s}kVXJQ^BE
zq&!!r7i?
zS2;aIW6$(QYewVQKG6;<*7mqsnnE!w>uA7{xO7I!YIgf^L|tNVuOBMhXuehKO4B{w
zW%rEYc52h#Mar+VBhC|8lVKfv+3Ig)xmpas0T+BocoFv+4>5*1S%W
zQ*W#&H7HzV)z_NR;7>raQ3ECJ_G+7oR^5$1f6)ky{`H=4A%Xx5n0?eK@rUt}d5J}U
z$UR&udVq5FIS+25D2^d-)<1F+FE47Yv${kf)dW2^`4&Fur_wR
z?GXfWs~1$bw7YICR4va#_Xl{fJ>A%d{%^KkI+U>w6GxHwo}vfn5jkeu6aet$GfrjN
z7|7?9&c1W`Ih*xQ=f|R449w3Y20eoF3>KFiA3aoegTWL8ZUss4Ahdk4>TL{iN^)G2
zAzylI%SFAp;>=7lnEft7sJ1cBwsh-%p$4rZ$0{hx;di6n=d5=A@!FOOXKGiI{D6|t
zp((wGwlT#+xZ;dG48aAAp5@xp_xV+}SIy6Ag3_o1*Gh2B7Vu`}>CL?~@6^AsgKR*n
zI`(B7?LMZwqcnmahtv)Ro+k*yI*fIV{jRU5KZ8}WwA|tVXk5)vAC)XJ*=ZJ$zQLtu
zaWLggMlw2e#hOu;)0-3H@%?_;lI6=YOGGL?O89pfKSz8vEdxXy&V{9)$Yi
zF~fqP31e6?XeKQFeIRzbx1aU!Jo>yv_>O}k&G(D$iitUpJWQ3rs3LOClQ21}h9Jx*
z)I1fqsOFALU5lUqD$Uu*hoVyH$F@7@bPj;fgxB}N+uoOnlje;Vo6b%<~$?0GU6!
z@Qk{cYvqfM&$4Fmvh-kLa!<|qNy6fXUZU(RtzNFm7Mvw<`6zrOR76Q*__D^qA
zw1$}wmAT>g2Os^s8{r>s|37Y9a(d)<}WNe9rgEIYB+E7k(
ziP%ldmxvzruH=#b_?9j&FZ|un-J5H+#0q}ya=>}K1WVQSr_o{m8P|6^e;*NRZ{rug
z!G94P_R#pypedYRmsQ~A*xT|0pH?r3&tCIb=+N(5+a;C1rmXRY#)s8m#}YqwLC^lU
zU|KRp1&J{Q=A;7Fv8ERrN6^zG*r>NKKncEKby4FVamQ7y)?_{|mfkgcT0{WXd15`w
zn%i}(>I{`aS5fEHRa2MDgtVdC5|mb^;&=edQB~naMFV`wV<>zpgkWn0
z%zMi!Rnh#CM94*mQ&0SkaksJmtJ>>3%ywYkmAh@tG)%E->sD4@r7nlVkK5JGg#iyp
zb^oU2oE9j@Ub}RTNiiqrk2u!I!|;c>knQEfmA#xRn+$YV3K1G^Mbkax_c4Uob`QBx5U)L`5cD8lDCGag(Wa03<_h~RP^5lJe{vE2~*cIOklD+h+F1l
z??>`p3JaG81<>w(sA-~03l^?I;dxhQyc#^v&D&sj=mt_EzmgOtjevDYXG?Z()rbG8
zw)z75`_+zbgIyB~&%=4;N{7J%4S-J%(84s_#zOp6>B>O_F*y`^m~PgdZiWBQG7%SY1N%+0ySQ2nZmG`BUccKG5=r^;K$}m^&2_iH!i1M
zikRc$$h}IfmEZ%smW%JBsC&7gzY@v8sEdBw$wwf~P_3hcUSorsp|72ub=+?g|QO(bm~q-MO};b3o~P4U3!u~_z@WsL{T
zF1$vq?q0B!pr0w||Ug06}
zt>@iG`FRL2h-u@^9NPF-n3~<_aD+I}h43YmcRUDx2m(j`BKv=6%_dW^uwE~~I{gyg
z?V#thPCM@jO*AmVRz3sZe1oQ1(|wc-Z(-XtGo>rdlS_|zvsCgXopN*TMRpoALqhzW
zvZmZD2I#4R-AFnzPD{Z{Is_~%!pQQ~e_Q}8$$@XX@H9GpHyd#+gO|#!&5Yf*^jp0P
zAwFM`Bq!kAacvMBq;^h{Jr>8Ja3aL{_TEbzq8v;HH4l6|A1v6VQ{Aw2#30hUa?N)7
zgv5+gUT+9~fIaNSKS(J9VHUsH;YvU`pubEMBLf_4@S}-wCfmlr97++}uq^lIw+-{f
z*?DL+0MeoMmgUMlMdVjL3nepcx9eQN3L%Sw--&>QFrbBy1YNn`eU$CMDfG6_7D0U+
z6;sBCl#+wm^b9>{*G5@FP2Y9rC?+}s(YYWAB9v|X@Y?fiqzH>Swr(kFhFhMs>I!mp
z#ad$AhuX5Y^>fA#q6hsj)vq%wW)_PS_rkBHQ9gzNI~1F%V_9yE7{kK6%H>XtEENKj
z@aPWs52oVzE6Io;y?Iw_ZFAn^y9Y*Idv9nH26}Mx9N3h%k5N>&0caUhPK4vPM-xuR
z67r(7P=H3b77D;#e6=@OXRv(-!&KdUj3o|00(3NR%ot9cK)H(#748d1%IcQnE&hXz
z>|4?E;?g)fD9mopGK=f#>g*_Uz_zx9Z)8A@<7JFuNFYajhJueUp_N6&32{b!VF%VMASMD@?HqRe*7iiJm3sg0?a6U`s6*^
ztK^a~#gJZfltJqJ=6S@sVc}xJ@*>C=(IzgJAgQ>9S3Cks@T&MYLNeeG4x?QOqcK7|
z8e4HTa(MP4j)9F-*(5SzCty4qQ3tT%5r7q`R=`X^
zJ#kQJg%BLMrlf{_5sK~z%^5Piv0
zFtZ9|U}TV91Y>4><^SyPM=4F=0#pM}X16TbLi}b}{Nv@8XD$;hAAh;9y^u8#6~uEO
zRF>|v$XWz^WE~@|sz<7?-FV5}eA_@6Yy@u0hT
z!zbe1kT-x-$8pxE)Q)qA39bcPG<~1ZQb*fA7!8lXJV?+4Z@!s(1sXe+YpH^&=&bKO
zbn#;0*b={gc_R>H!pplLf<+X&SP$_;D`cWG(j!u~221dLS$$v>v)6eI#Ph8k)Q@73
zDyDBqV_=qE*pzsFX54dcat(IYkOCLR!pa1mtOk)PuzT3p#_pi~)+>@J
zhJd|GF_~h-3Q(V7lo~sTP{DA~NlL-Dmg8Y@|nmT4Bo8G^{u!nTB{L%b
z9jK$=t4>18H{&io;7XuYICPVTnp7~RpsbmVlRdf!5rI1_(vbz`lD@G3K}xkxg?%=5
zlkrsXev?*peU>wZ4JLRb2uBv#j+_Kk;T#RszyK}pyjaosxlP5a!d73Gnk;n$LL
zZ(qTpFe6W27IwB1>WhW1^s~JJ>kOVBAt=1tHTV7)+2|_x7cA*u`%*Y{Ee3n4MInH!
zDIgakq04_Ot>Ts{1L045XV>~pnABN{{1>h&_LUS-3d(3)y0}~{EQX0>5x9vK3Ahn0
z)eZ^;6H4mwZ+|A+6ha1@`>*;fno)~3h;
z>4-x`Z+It@^ZlyeeeNqbArfrt6}c|aXY+Ng4xf7o@N#Fu;H~;i&{B^P5m_a~5VZ&E
zh)Xl=C~Tl&Z=<5Qjj*1YcJ*#7LfSeTcZgY6ZuXGMTnkneQ4rp}c%RGIDvp8G6(Wqh
z?p@CZ(KrWA=|6j+iCYWj5=8Y2OBj4*o3{INfN)5IUDi)0gt1E&tyqxNKva03OjlOt
zeE0Fk!~V8RFsA+i0k#Nl9_?goT`0nxu*FoO+7I^6UFaKyR;+B6ReXX8
zgKEYe#L1rgi#49mhJ#eqSsPIUb^QTW89~o~s2*KGGW}t3nUD+^o-ukIGzAy^%gBz8
z`ZX+T&^wrKTggT++~h&>05^I2*lpvQ7OWDw5u!+^5p$>%e@oW`X2!YgjDD9uYe7;d
zm(?^{bf}wQa4*3sL{ZxW({9QU8Fl~JSG-TgkZyHM!68+5c5E>Z!zBCwyhoGaiC6n2
zUkjH*2Fp5}4GKO0`B6C8j1{Escf9-}Z>V(13;W5}H)AssLEyQ5;EMpXrbeuj3#DYS
zijni1b15cH-=CTQ>gE_c(gW<4=J2moeFHR9g=cDpce+OJ^ZN`uJ(J&ii&G^}SDEjT
z##Ccm>~$o_vR(3{-Ev}kroVCtYK_z~0oRT@(#0RGUw4kWd+i88tt;pcHV1Z?IeBlg
z{Z!gZYx%!w0@QxVq{E>_f#gpddYBOe3CtM!zq{_#N#ZW1uLi=CpCJc3vg%b^CY|#I
z&%Y<8w|!6Y^Q+?!9$5T$cl7q8+o}*t77R-0o>=($Npse7i!MnH=X)W;1qgieXHGck
zGkWlXiw(s+8eE6!@|=O3%O&xK>3eY8#JNxOyZopHuB9_RGq+};*qU_02dXTl7Xjl7
zO_sI!12nD3FM`8NLt`GX6pW#+FKnMWa-|HEk)dCOgp)^+>x*@q~J6mY?Jq%F~8=-TMcE<~N3XPY^%Hq6gL6%qgo!_zR&7q4;!*B>Ckn9Gxw
zFF`K*|A(fp42!b+zP@MZF6k5$q(MNs5ky*A8l<}$h7fpYq`Q>v?hfhh?(Xh)@b~_|
z&o%eiCw8p0&e@}nRB)353plDL#VxO+!{q;LxxOg;smD*Z0Zyj++hRUoAn7ORt*`53
zR9w2jyDXz2f4TXX$$QfDdu9zijMswGQs&wAG0QUyBr$DIJFRB$2NkWzN2yAiyvoJG
z*3LWnimw!5d0B3B>L)u@a~H;qT~H!Yy}Gln3*4xex)K|2!pZNhs+~u|WMR@2%;@&QyReIyelOdlXC*(YGK+Q!eGmCOcsynF)`xEsk$Ga3xdS22ez(=T4C}T+olBuf#
zKNuha$qdcw3Gf63fFUeECNKwDM)cbmEvh2ty<%tzy{KS)CjaVd+lI0A4PU68W46o8V19-jSxiABK$_3;;#i$n
z^EyJ?6Eu3+8J)Oe$&_5ZxWJ0^8bof1dcT7U29;~sZoPmsrT?m79#hmisWQ3ge_LhY
z%QTnjy6k6EXvN>~YW!~gw%PyT0-!2qVJlg6pu_@XHRk+1;15OW~RPG0|`J@yonn>c9Xy?(9w_
zzb(_wk}O#?4v1d$Q(&c+qUrkk<#5S=E2lcEKSt-Q)a~nv1yLYF*N`GQju=$eJ{*{p
zRoaVaimEaBVH@Ceco&VKhu(r+?mSJ&Ob@sE-elf)G0|ABq&{SwVfqj6r$;h>68528
z+t4%QeT&M8;ku$;#=DKC!81sXfzi41605=%V@i5yr}jM>L9Ua{?k9rlfsDisA$E*a
zF~CRm9(u~*OmGJ|tQArwpRq-51DLUe9spD@WOrO>f~Sri=w;{T$u%VI^-KO5Jugd(
z`+974N6~qJ0o8E
zHU1`}y;%866`BAQ7{rs+C3J`h2fHWk(3j^HoSQcyh`An7Kmh_KERg&ahokL@1{|GT
zsc}yL9cT(}9L~Ri;uYY0lPwoD#N7Cb5$J)meWzfqQm0A89Io}W-#yk~v~1~gid{9$
z^7P4KdhupHZ6{@LK-h&;NQlO&p4|W7gTU2BQH7k}Q5aewB2)BdN9lxE0k?hn)Vlax
z@SyZxjW`6|fOP98!nQ(Pbk{ir{sM#UyE~pxas*(WeZ-*3=Yso^qDH`0*I4U0YF$!3dQZVKB`*W)FZ(
zaA*V!K9M4tCT_bxk@jCS=G*`L|6|D~+hdAkVGJJ|Hce(Yv!3_5-wEoC?s&lA3x*$;
z`bJ*V5;-YG=b1p2jjVMZw_(oLwl$jh(UKXAqr2ae62HZr8LSC?JY|NAIE}T&;64d>
zY7TOe)&=gubFE+l?zicn7Ua-&;67u|SZLrOpM`7X?U5Q(L`MQ43>7j#1XCf(G@=~C
zZ_s0U!)ZY;)fR;G=_?FMt5p_Z1O>E*>t$>+>k_n$$*iz;1+t=yHM7zv>dyz4pm(k`
zJ!5EN3DB^=hwLBCa{({5Q-Z7Vw%bwnPE*d`Y*VXJAB^{jq;P9^QtWU%NdG)rVn=WG_>wZ_HFiHMO
z2GhX~0sMT*^*B#?6X-|YubD-|tovke;^fqSh4QHu9W!%YJJUMY`R9tzf|K;l81z*0jya|;Ca$QH4fU^Fg
z^3OF6Cq&R|NZz|uDCo<#0-8JxkL~WIdmECLU)#3q$~tv}v%6xzz~5N~uD~GGj=R7D
zWFfo#-2|HOoz#l1($_WG-8W>>nf2(0KPCFW81m~|iz64cu_5eV9vEmhEw7DQ-Je`h
zsTopj9^aG>I6Li2-fydFq~8BRq)(`}6bp{+ko>(y#zIYwG7~soJ0vX^YjdL30L}$v?oXYlNPXQoG`4!)EA*7EIkNDEyR)
z_NsBRe4_PWm;WaKc)1%=^joUJcu+wuM%gQiGw%w^@7ytyg1McQs2~+N%uF!Zs7WgD
z-GAgY11PdX*YT9x_VS_i5mvfYq4V+RA#1P+Qqaq48O%gsQK&oTNow;_yzOg@6XELQ
zRP&{?RPNK&4$8SFJU*oE=m>(g#%zuiT6+xjG0D)KlsL>>u&Q)4v5=iMg}9+^p2b}<
zS^!V5rvjKyu-$?_COET?Jnxs6vg0=Gt+uIv=ke>uk{;bh(+AozdQ|%UpgH@Z8+DZ?
z+XUY;Jjg`qP1Xo-!13)w;uhvL5sV!HuQ9N^kRuuch#-@b(!SK~9~jxF+mLTv%Z~DK
z?~rZv&rQL3-7#3quQMPTg
z33fj5Ram)uoQu{kJC{Kzz22uz44NjadOB*Xe94}ZXrrn?X+XO<&$r3x_#|h!c{GXw
z%LM~NDh2s5;^5nxpAj-os<|a2(o#~$6NqZ-S;@H4oVj6PeS3raucmslIywUXTx(0s
z$+U*3h`GpkooW1s+)A$RcS#&+_*(e0Ci@*?jh?c
z6utHyrH!^{TLFzp&1ye=kH`B(eUQEeeJgi{C@8C68_?bDpPfyV61>=o-yTf;DW@
z0941B^tOjLV;y80KOHsvsUg@!nlT_~{RH+|E4bDvrXTio7NE;qq4=;dZ#q>kNx
z|F;Lz)(1|Iiw=udU~*ak#2eke#;}87gBr&+DxsyP^M)I`r=P04NsRyk8EAo;m{{i2
zZ9`y2(FU(ZINFE43!i~XkVNXkC2f0w{=hz+GN=f=6Bfmu{rv5>BogX_Qc`usr1RO2
zRQPY)0Lkz$w=Rm%I7V*GJBXP(0_kq^Ft+j4=6oXWj84Z_ces+56-hZ#(r8*
z``?fH*jHEO#txrHX}hfaTM17no1fsDxR9IJ@_Bq;A3KT8`r=?Nuy~xYXZZC?>e`75
zUpq8WwP-W|lHgV&Y_z|)d>Rh)$%Wv6n3_&-`!M~gv0-ZxdRjv?&-gX8=vS6B9OpB(tmBMbGL8TXNzet#;m
z+FLbFFTQZKL1(wtcxEGcCtqG_FQF{kN`W=6TH-mC0R%!c#lZd-CJSsB_*u<4PKH+Kz=TwLr925JPT9;9?{|=u|tUuUCjmzS}-Hj
z4F-|RdMo?bNF_wUF}iyOX9DFQmsjPIf!RaOMJ9oDCm$n#YI1>|%r`Jzo!;
zDk1cd18NvtOp{F}y@5}dMohYPQIDWz6=F?Z$2B#{=U1QN<=_TCy19F35qV>bX*r+D
zKCuAJhM`^u`jlbJ{0d8GH|pZ9urobm3w{p&s?R-Z!qLiOcd&+LKPDjEGTe?}Ne2oN
z9@7$9e-|)o99#G?vEWD{9Z*c;R<eI5~h~QOy$5f?8yiKDyGhtGt>0ylvQY=Rc6`<
zsv3zj^%%airr`&z9@fYd6=o7Y^Bm>fixTo8KVyhlt`V8Z)wo
zM^^Pbz;=lMGAv8}lmRiM7?lNtV{^%T&Il0kkcPY-q;UEzwrJ)Ov8fe6V9M`!;XfCv
zAIHH?-LZ|ax=*MQ$;0?FfmLo|!5QlWN(a|&usCdR=0(1^3W!*Nky)73=%5e&|1B_H
z(M&sldsuGS0l)CIITAx>=qfC6#C?=_hET|G?_;AR;~i{&~9mT(Jtlmbm~Y(>lxCCdvE#V$oOeub9XVC@R0Ofo){0c(R
zl!+oaqfO0Ky=g<`>W?EShF=Y&v{axsP3_(fJPk*?NDQaesg(t=%DkS|^Gk23QfO&^
zdJcj3+U38)0%bX0R4GhG34i+}x8SHz8EIjeij5{mOJjg{C+^*#w4BXL39F06CiJ4L
zppOw3I5aoWmD(;H5kdXLW;VoB64OF)PWZDWwSd{3>UOyAJL-Fcl-A?oX~dbF(6sNP
za~b~(T&w>k^M6`^wgV0i{ixFT@5F*RIdg&oR|CneguLkHW1U
zG25!#4Cnc5*V%AtE$WB1j}rc+n9a6D?=!|VV^OysK>iI!7(Wn9_ypOFyXCwPM|gvV
z?YLm_)@EQa{Zt?5Q(pN|kj3HPtm#dOH-?29!m2{?h_@DTxP+9%TKn4j)KWG;Gh(sm
zCNp0^*R1xkw7(?&=`4^<&RDlRyFFCr;N=G%ehv%QM0c~7(dYQw(2%>Fi!~^QjLGje
z;|!t?v1&pel4^~~SsIUdw6!2zM+HCS->sS6`(V-nul_Mbm(D0h^P6eOBSu@un!w#f
zn7D^sj-C8z;De*
zY$8ew%A(n^){t2K@R;2{jEr^0*rhyzbYbB>yh4V8*Da$r2=N`KWpStix{0zne5j(Z6aimuXOZ|59X%)_^7>FL6s
zu@RYXWSv)}WjP+WZBH+TttO)suI~jFZEox
zevEv4l+$BOMd=^~99RV1=Zk9@wdJ}dju{*NOXOr)X8V;!{6I?SuoK;@BRGkH)_-Ok
z4|-dsWm7zF{m~$+@(h*XD>3c`KGD)0WB+TqkakG$$;9R`1#3=GEwk({Gc$_kp>nCR
z)oIdsylg6WUrYzY0s{fdykxN}{1PgTiH!|=pS4>O{>muqq82X~AT(XhbL42b8;jZo
z6}Aix^5v}%U)jdD{1ru*x}_KQCU~4XQ2$}c)qKTmw7P#XEYdt4>7uZb%*@?9b6gT!
zO3ye*p9;;-HmZ00RoBO`x}ga#9om^-O2Ak53FG(%@#>uj3~vU8$bu{FYXQE3>rcEc
zkV<#dNs(tV9F|Mv6+Rf~Om=w3d|Q!_kT^LQR4b){06BeQ+@&ye4O3dvW$W<{OH~Wv
z@CWc&ps!%Ay%_};=ZoVmdf-ker`q%3n$cj}Rf{z6bq6Wjmoy`~IPzDeqt_johZ3M3
zR8M5W*A_l3T(BC9(v(6DYqDieOi{bg7Ua4|1$@-roXnM|_hySHcX*nAEpHtU=Jp$~
zu}ptDx^MEz6MU|*CIEzHAXO_E-L#^jHfkIhe;W|c4(r%s#Qp6DVOT|+HDZNcXOh;6
z@Z*oa1;eP9_t-3uI%+<_Pel!99DphS5U~AclJgDzlIrREj;o0$`Nf*~yH}SYa_OO@
z7zn8q^xq44sXrRfdt0XM%6f<+2l|VUF69W5(=+b`&4NCdYCm5kv+5nq%f9n5LaUV~
zhI}rKTdPkG&=s*k>-qWkJu7$7s$>4C6)(EQa9$|oBRgzs9*;%U@y}G!(iAq~PPpxM
zf}%!xj`y$blfWYq0M}TBRe~QI?Zr1W2SdAcrJcsFqd2em&amD+0n=q|hHD
zuA#F=-=#*#e)2w_sxO;|S#mIb=*zD8UfSq@BN4!H|Gte0+a<$-9WpSVwlX#w0}u&v
z{Xm1*2?kCThmvE5vPt-BT@IBbDJpuC1Zp50x94Ya%o?DHTr>OGj9S41nhsyPaxQu$
zEbf+_OeQ(6{o*U4(PSKQdhB7~TR7A(p1Mor#9j|#v(wcz-&TCYe9q+nMj=WbIjRgX
z0QCDm`GBT9(;sc@s|AmlUq`$`7m@Bxjm3YoE}B05NpyoZ%TC2(>!PgzG^~FAA?VoL
z-K)K%{5Fec-J2M%H)R^v){zscDA9xVazN4bk7gRdXGpU%7nfWM>vBOKcCK8?j`7-i
zw8eM6hpT}8y)EB)A8JNTFnZS%FuVNtI-@}wT|UXnAQJq$
z$Fs`Dc!a-mc&BeE6wEar@xRJo#$U+j%_*)MY=9X<9#|{kPq*WR9HUz5D4wQo(f~oj>!JAOM)v
z!aeFW5^g!+IIKHrVJSFYwP)qS>3Wr2al;EBAtJYUiMwt2p*p2KzO|^ByX}Z!{q^`7
zwn)wfu*>WNw-FX%$MC5Q;UUalah&cq{;{Q}Ey1^&3cxe`svSndiv$()mi8>i|*?_k9{}~Myv+mmCu8h
z!g;vf32bk3deUwG#rpp+;vuXu;ls`7kk6U6zD}1rz7p7SP)6rOPZtyLk3oNu!qPu%
z3HisKL6P=2Xv_P8H!Om{4e^^vmQ$h0mcKN4f9=+vt!Db}&Y1%kUhJ}T$6`c)pK%=`
ziY5-}_z6+FRcvR1esynchyCfp5A@ex<4^gyB-o@s2;X;KdH4Zfa#%?gMPw%j_5)&{
za13w9@&9pbm?zlm^Sl4r~)T<-vYtn{wvvW8WgJ=lk-`Obc
z4e#m1y!SwCTccsSqCP0)^<&L(;U$B9RK$SAn=-i^P1m`PoY;>nzh+GdN#kR~Oi>LZ8#K^9DtAWYDt4A*&~S~5c2
z@*b7hOiH~sGF>(ZZ
z?2VOs%kQ^u;MMkDxXSc*?m;!;N1lLehyjj)?EY-Nx7>w+=Ihd(wLKtFZ09p_r1^0i
zOiwe0H{ieR5g?pn#CUM!|7VYjKXWU6SwVc-aK-}w+py;qDNL(iUQyB4cXErf6d#r&
z_&6<`f7l%6gMb1}37b6!{(TpUScJebEQt>z&G|b#tnbYDf8XmkkZJ>n#_W`;
z4g$iDdsdITb6!uQM+V<>S_qwcVvF8rr_IZQORP~v_(^Ph_4i+b!yL0%C%YbDS`VWu
zTx(g`~Db1Et!jrT=0GT}APY
zS&{#b@}Nly=A(j=CRV&SEvo(tZaWMwe{Z6$9HiIoLw2~#kXYwbA9$0FEzZKxa8OU(
z*jv3U0_6)qt#X8H)ora&ubZkDzjOqk>@jBSo$9=)(;CP9t{|8-wJX;|8u8DonA4r}
zIa4Q}@h{SN69J3(reS=Q&~D$e`e*G$+ry3TnoZWr+U|pDcF-_&##%2^OM>!w`x%y5
z6lg5`D>pIZGij63K0=ND-?_R+rJ#1hT{Q=_b+MyC4)PnQk7}r*dnJpn{>PVbegFJz
z|L<4BN7B$0x6vn0f*js#ZSC*t7i~N~|0IIY7M4-=Y~~;@yt8}^$E{;|RrO`ma*p!?
z1>visc{+=n^m}TxA}vgn+GzD}E+DoSVxdMc^-7qe0I6@{-5v)cb^n}k>$x@Ubw
zY-bQ&*J{uH`1J5%m@w|iU;nXTGsLuqx7*pd%H$Ped&?(}mHx5Z&SuL964#-19(YEA
z$t7Sn6wI;o=`OnQ5SgHf(Ba+P1Ty1h^#EzgP4nIb=kjpIZ`SrB;}<~aw-xUiijZ;4
zn`iVv>vqZWK%dmI1N@w?=dWeJDV@$6pPrnGIcw?g;TE(uHsBunwtM<0_)PLb_6z_h
zANMZCyKX$OUTc0^$_H**4))nH!9jWZwPU|@GWpF!sLCY~1$d?(y`Sn*7-Tt=W3>;Z
zk!rs^iuK8pS9l|M6L0XJrJLItxAY?ykV5!S&s_d_`N!%n
z*A3?7gPFG1mBWEl;>&8=UaxX=vPXMjLBs+{6SS4ZOm$+Y4=)W#pfdst4;-Ro>5W?Q
z(pm`{s`gTOl-e1cTPL2fL)NSsz9T)Fh}B04pYV+tR@xdETwK9qKcG#Z{^2!i{e6>}
z$1QrzPgJtNpRWZAF;Wx>9w4pdqG5ycM*#W5%)+lK9OkKu;)QfBNu}09RkF_kw5#-h
zs4x3ZM;h-C-QuP9sO$vIyW4kDr1jTll-Vww3}9`@gxEW8OM?qTlwNIzwo;#e*a2cX
zHRQW=LL@n+wgxXjKVO&b_}p(V)&;PX-~!H$i`VPomg*UaELXUL8ZcHd0bGiPpX-X+
zd;7Eg)=ERtd*+y>6gIvHOPpp&4UCjKXXGAa2{?*)Z^Flf`v96uS}c25EEa(}Jk^`!
z2->JE7W1^yFNF#XPdP_80^AmyFR-ha2^cU*#eY1FTGM-0_-w2_7HknLx6{*J40n?c
z1|AN%>F_dqI6PeSgvP|B3Sr0INM%Zv_C8Q_0d4OU0$IFgORhnzty2G)#=AelhEqv}
zpjgA)n(pxLvPFl}|B~oYx@D$=I+*pY^()v{0PY1q1Peih7(H$euc$v?@11&kSpmLq
zkoklXN~06@P#VnuLpT+xyz=9s3w$v!IwNyqM=cxHuXQG(I(3)G)4Iw>$%xy=VRDi5
zPE9d^$dN$xh8r>_?3mip+lq11ecpUTBZLLn>9Oh#%772tIFweaGe>PHu&ooGVuDYb
zi9Py>@sVkX)3QAP6*B&vC_a2Xyi$Zz`dlwb_&-`^=kxr_FC!jzf9mNfcwoBhwH)Y?
zO@9||O9$njX}t0iT}XfNIUqe*w6COF7K-ilxo{bwHN>XIZ(BZL@(4J-an|hM?B7rf
zQ2pgL-&wpglcY9;HsJo4V7AO$L
z`LeC;U^|ps&gdr!ba@1}LtsZ`fn0XdkD%iaW@z4Z%A{R+$WV4hO(3f2&=|X-efL4@
zEicRU4-(=+)r7$3#EfTT@x0{YKd=o{ADIsnano}k9efa|@s
zmpb(~jb9P`H3aPy_%y`QS`s;u>fyB}Q>c9{P&tP;q@&jgngNfJn$1VfgBtGha$!h0`Xm085aLoHKMuU)nlrVHA))VU*O8d!c^!MJ^pWxpf_1d~@
z$P2P?GS0azwtr&=2ndxT%pVQ~&u5no)2GE@r>Q)5BZhzRNW29zh45_tKHDW#h)~6=
zF(G^phXULKCBFnio8~`uE%9F?|1ZdUtzQue!J8Md=lujSh^Og6o30OJ(2Yj2k@CkL
z#Bfvh8|6X^`q&&{^r=8gJGPQuaZ>~V%IdK*_ryz3m=qX5j0A8&syKKU^TDK>XHy>7RaEAH7ApIzoR>F27dwl@xh3n(N0J*Ai|{hw>i
zs239i+zJkbKD=hVAZS{Y#Kq?xDYwTKCV#!~f4mwiNZ$THL0AS6K6|?(s
z=b1~5XD#Q_x|VUEc;!<4nv=eE__iPl&2w&41C!z9<k%dB`j4J0Qb)#AqdX27NhlwHcGrzQdQ$WZVfj}oCOv`Njd6&l)Ka%{W>k|
zPwZi52*iMVaf{xyDja^|-5TDzcFTrBZ9lf#@Z3ZbM=Xzl0S({O(gdYC|G
z>Xqk<{WTuUgM*^MK-A;!3ESaHhMph5t;^oMIfm_Pw-ywH8gg=Cl^c7bqi0_n!%qeBrO+t2uemt?!bDiO_f
z(wfrfz%7)|#QX6ZEvw~`g28_Y7mVHk92UMC>S7LXJpqicryl?tXgq}2Ci)f5w5_W0
zKD}#zURM}QB|g^6L9I(W(<)#OPZczq-*)hZqj_}~@laLseHOzRinWd+)GieFj#5aE
z-$L5*6hWxvmBa~Z%O7emFR?ExUEcB(E|i{Eg(~mZ%{oqU7OdQ5c`>@-Jbseo~A=E^5x_ci4$w(an|(DVl~tY;8K
z|7TU|ZCtblFSE%cL-JdC0q1>DKLl>8OeZ9Y;o)0BfRpQ3_Ga8Nj)yq_{_7Wam{6Me
z6i=A#ePVvv7@7a_bs(q4G((=k(3`JF=<`l`?o$$^=yl2EWuFH=EJvb`3-}&TZZ>k{
zpiJ~i4^&0IiT=lZQ@z36r9&TVs{MGKH8nvyG;0)_4gz@3J#rJLVWifhuT9ap8Y3dt&l#e+i
zuA<^?_5hRBQfY@(M|wzagaG&N?P}h@!&C=58<_`EPXcFKuO7Q#sh7Ehku@|D^%I+B?`kj_lwsCc43sYA&_~|*(CoZ5c=~tA3R$1z22K!ehtHxNpqqSO~
z#swXZ7$ar$QC+~dv8d3l_UA<0-Tv+MgaspxN;^RdNG~15{hX2O!Q&)L^PeL&+S{q}
z9=JmA>;wQIK)kwbpn^<9C^TU3d_}PM_=m$gkmueu*}%$CT3%v)R#-6lBNUr8RE1bU
zlogXDIRQh!&3+}$z)*+^jsSjkak1A50+ZajfNGNmnlfq2Q@f
z^}Rj}#niU#1S=j;4-
zDc-_j5BIGvd|aysv+me5;G-83=q*@H&?=enOfyRb7(<-bW5w*JxPggL@ZdZjd|>pk
zfHIr(3vg?}sYNXOD73kp$3R!XrI9vcDV?lS1>1FW4kQIs3aGugKr?3Mg&}H1(1rM|
zg^gaGv9r0xkHB1khXZ2QV;DEVCCG(gp$`*G
z8)x?ZGUii9WZnC&0l7X8-=wp6;+AlnmF>GJ(RewmuYzfV_M;G-;SWNlHfJzFb`34NPJyBR&|gv#L8W#^`M
z0s6;FHjd0opI(|yulvY(%@=vA&b~`Pa|ijs5mPZ)93gU5@yt2_SOedMsWmi6<}r-T
zLwT21*1Co@hw79+gRb8(!tB-v4A@&bz{$RAV4(JazQsTsy#|6XCtEu8e_8+`l>-52
zmB;ttnKK2q)`;PR7W#>d+sPSj8hhHmrj|u+Hmf|X@LO=usy=7_%@+2V5dIPosDZ}u
zGR8O}K0Wuf9R9ECfDJPI-*A0M`;cOjX<@U@k-A3BqLKZiGcvM_~gK1`^*8-A*%X^yIY*KG4^JWtoC)f0;o
z!=km*>Ce)o)8t|OkrSM`<-Bi4Ex>ie#+`-jO{#sE2NlrKyy~;Vdps%W(^*d#D7`?N
zHBQouSR)Yx#8*mk^kjUN!U~`^#f6lbV!@|_!uEY-_MvP0ANX9Ws9&2JC5GOuiG(0M
zbRYwolP$65AKt!iKM{8PCa`nR81k@)k%h2&@3`h9BdXb-m%rrBodu1bZ&S{p7$&??
z4GDcu*f6xFl=mli_;EFkHd%nD6#3hc14hyS=&h_3s7heVR5TXm
z;}G9v9-Amn!;a2er%q4*)Y7E;{uxn{MeXQeetH@iRA`8`AB<863u`#^^;h2@{|ULI
z8V#GekriG``p%l3(Q*Av8pW@^#FZ10r(7We@6oHsl?1LpYuU1c1nrR{?TIS{tS1mK
zli$l3)4g_)oqC$OI{`1lP0^yW5regy#Q7kSCkGkW7o7)QHLkY5D{55%|A_=W+V9|`9~FSeTyyIm&3!_lN#
zX|p1~HEVpV&@nk;eL-=;?deLiOOWnU>^?&;}RsDgrka-*VUwEJRX?eYoF_hD4NQmuVP-oj@ePpGD2
zl=1XlKx8{~>Bw|TSrIoP(GE!rPxSJUBJ+Jg0(QFKi=pW{+25KUn}Z$SfYgKZmDw!{
z>YI7oJU?i$H6!UZU2|zUMNP8x@*bgP51QC+REeLnR%BU8T{zTYs~pmJ(B6TlZu_oLP5hPcs5(E
zqYpMqc}!~6(HE&YJ~*>Sbz3(-DsS5c$wS|vDFBLnGqCXrD8Ap!m(LXHn&P5nW5-Pk
zMZ&gYet^&Z{1hv@;rE^MYtLn^h|3V3l&6hyaAuDNqzBwq`pao`zHZ{-MTk}OV}()m
zrZyG1CI>E^{bvaGQ_X6Ytl@Kq3UH1uWK4C65#e(PQ%2@{b-KqxQanq6vzW_4W@de<
z;`~EWrtd{4Ds29RllWa5G1-8t+|5>{?8?AQxF+}0(r}dcP`NUn=~7Gg(#|20Lw_J<
z?~UQ&rgdj}D!;>AhuS2`^4zcSNH>
z7re0s!Y|AkcJ(DLI2Rs?46_Y|2`cctV#Xuj;~Vew%m^9r`|m)_@dp10Q`
z2oEuXbfqJ#ZFbak5Q3mh)L6Yf)XLD-(DL)NH!-VTpL4&%*e`V+vjuyq(>L81>o`0S
zHvWXZ8JkCiEDAE2bA>>;{-28tnI8-!+itu57*PDe04NC>tW>wXMN)C9!=o@-Jjp!5
zC+d7BnG
zaG&eRX;HtFoh#<()Nc(+4GyU3Aibdp{C?BDDLAL6(i-Yv;z-A!HMO+&I+x*SG<;$E
zD+&r{mEmRMh5SjCj#F23YVa8vkh1J7H@WGyC~l{%*A}$bNUp7^SDy*f|GZ;r#K;;!
zy!;vS+wi26x&L-h=g_b@4%PRsJ^-Oe?oJQ?%xF+S;HGN6BW#>T73VVp?W}Q-`~
zn}CCJ{EouRsP|cI^C2Sux~R%n)t8jIm~)-jrXyv$LLM0HhM*&3y8)38>lfSAjc2RE
z>eW=MFNKQgkaY}XOob>~!efXhi1u>v=g;tjWf!r}#_&i_O45X>Q`TMhHSffs=GCCM
zf=o=(Q|w9N?u?nuutAAPyW26p|1jr$4e!)@qZ}fas!gTvxmWm13czgln6TSKJBpsr
zeMy&Tg!X~uQKjUmoK*8oRaTf)SLTi4Icb|qn6M66p^OA+KH3`YXmRpY-K#SfaYSL^
zny=Wb{21u}c|fM=_~*~L^CYgf802A?wnMqx>;8FiK9q5bUexiWmYlrBXmfB%1BANx
zjWEnv3J1K@xQzGVnHc`7ZXX3Ayl}BFCLwGFvu|l={vR&#w53+y^qW*mfXxEG+gGI`
zMQ>x_T#8$>`7NU`XZ;;qInpvJ&PJr)xgx9-4HZ6sD`>dOeL+g0lq#{&QYH&drvlT53)bs1YgCB6Z&)xy7GiK;{dOh)r+WVEu!Qn`SFAN;3bToIQf-NT65YWr_U{@J^^@fB1Dfbs6hYQgh+l}
zu{6v7pl>)T6t4Ysq~yuQbtiS%E&Rbiatfy(I)VRTanVumTBQ+stDg*PQUxBPk=RAD
z^r&8AWEo5p`sfK
zHmsZ6opHWyOr1#Q-u**`pU2=$xgmw6_zPBzqZ
z^de0+Rj~yGzy&M*wMUOPH~UoU0bS)(1)js2f`R)jO<3|{{8e}W3E9I$C~n4uUVE|1
zS>*4%%kOuLyclLn=&UUmCW1g9s0c5rDai`g+IpTnlUnJ<%vxNaibt7|bbQ_w6HZ?!
z1^I~yVqPl6mBN*MBim{_Wv1JI-9C$byYmuBi0S&~0>MJKs+GI|1e}{gW7HQedjeMb
zEkqw%H|w|E!-d(??@D{B$HM9ArOb16uB?XnH3NReBUp+%8}GWov}zDV>|DQJCzcZn
zDaFkc2&KOx5oB0GLi$*)l_7;26}@pmhB42QPesU`ZPSZu+x_IVVBFZ++4}3UXk{*S
zBGKe}I+j!T2NJ{|&@)7?H+Qq!r~jXax0FC&0P=so+hPJ7^kG1M%0i{4Pb637e>E;f
zHjO&|jV@DyRKc@>(q`pj2rc&Ev8s{iR@`q>TOzKPKYE+&{33q{;nLjbdRiFieol(R
z#{+W@?6oWQ>12dtx8I*#5O5xmVF?bziu^rtB0f>kdiVqG^FrT2w#kNn)~i%tI#dd$
zxwrC}KwOI7P=Fc0NcpLXo)TtOX#12a$5D6BaxC}=`hQftWk6P4&@Q~W=@u#J7LXLB
zQ#z!(6=|fqZ%{(Ik?uy2?h@(l?(XjTHa_qBopbo(4`l7NXU&?q=9<|vZj*4NaJ0is
zl%3zF=Uu(cCPQc0V}whH3k)pFvCIt1-szQR$4mDojm
z9a34)Q!uyR69RT$oK4(pVz6ol5vU0SDTyfuQgYONr
z9yn=(9g|@L#zYkFVW8m*1~zkX6dL6%w2Mrk5{jzS9<${`w3L7UT$A1%kERdQ@|4s{
zH6>7v2b^@Itz0cN6IEVU@KZiMj3!>A4)(8NvYxiZ>H@Wd+fT5qeN3M|zc=aX6-c3M
zXu>YOrt&p;^KlIY&l{A);8zlJ_~8yu{H_K@iGxx1NZ!e#UM{nc;|L0PthYuJ+Q7MD
zTO)b{TORwC0KF7<1z-qESA}-8eAQBakQBEmCu$k+Y?>wbtYK<%eIh!*V-8cm`>dk+
z+hZ_P!Ie1Z>;dsJKO+hKS_P~+jqtX+=F|3yz3Bdj?mXTg_=#`|yH~?ld8CeknR!Ko
zQdp|n*qVOLCDLdig+kWxPiB^F9ttA_L;JFS)Kw$9^y~?PNC(Z6Nmkls`{Wg_tVobBe>u1*2e=7Ey#T}SJBYesk|5vfOBgM?==a1ZyPnMI5U
zFDfg{Kw(@FEvT@yH9reX;!fn_3dBK(dRH6EFw)Kgk6-D^hQHr!%+ed*FA^ST&N_~D
zE8_v1MbRdQ+pT3MPA93xoyA=l>pF_dHWIRbnYc*#xOe1Dy6T)UBrP>WXyhzMlHzXv
zLDa#prc3NCjpX)g)h46c)=00Ucc2j+Nyrlk^-+(tg$TjRJb*ECx>h5D?k)gS{Ml**
zTJL1*B&zycWfn{lQnz)R27l7Ch?)>eCAn$D57lD{e1U~B=OK2F)qfofh>D!Z_7;)L
z=B@~!@?NygsO6F5_7eQKclS&2zTk|{7a!V;uudRTthyUr+8{wT-SQ`8GJkN;TEJ-l
z1`urOc@VGc!k${b)VWZ(1Xk*&^OvRQ(Cb
z#`UXIbjuOJ2u3Z!-&S^Vge4W8GGl%381>|8@?C$)_PfL59X~-0eg;Q*<)aZRWVefO
z^G^{tv{1kKFTALCJWaPjZAoIogg|#v5ICiWm$3)&OH^BPOQA@lM
z+(-r+^WLZEk_5pk6pdRX=vcMDjUr6@E9NhGR$qJhg?m6t`czndDF`t0Jmh;IjA-iW
zAf6IwA0y+d;;s+W!Bg6&Z{wESU8@{VA9`u%u9m__?fb1Xecs5*62O>x5ZUS7IdTg7
z4mS6}5VjY^X{toqQ_e)>
zY&Lx7bf*DdjChe3UBLQVk%}Cp((aF=lRgpraK7KpM?VE*t?4HYH9x>#X}He$UHHMO_wn|FonBv#Ct{QvqM1auyQKT2mv|#LW9M8urwBxF4cM+NV
zAe9Nz)e-Zh9KAkw(sU+5q_^olxI(!6w}(p&&elbbO$SI}*I_(hvj+aLtY%(FM}mRJ
z`xhryn4!C6?!-^?Ai(Bf3~0B_mk1}_7~rmHF9zx>O}sK!j`1c0qA5T}BVa+tL1R0U
zMt-ZD-&pPC+&M((9=@`GYVanj(Bh7l&MIJ8?S13I^1F6B-6kjb*_BScrL-pZt3lNX
z@+{pSbj2zo8)MEdT)Vw}vKV*xVlJ*KxN^fP?vZ$o?%^T>2svLVbhM77_Rt-@gKG}#
zUZ$NERaJBt{&p?*dNp(IaSJi5(C)9*9VR6vhb?)QpZHMseS7ob^;la)VzRcxsm|$^
zq<|61&mbS`5~*(-M)!m%xjGiddKY@cqpb%hLyit@9fMY^JcDyQ&uTNB(&TpGR>n|wA-*~`E{tw^MxmUn0ioDZr)%|x)t?8
zrghUOPoYZ(Z}Swfi1|%~ELXa4NutI@q(q1F8j7mMOy64@qG6yZ
zk^TmXMp27K5%)|Nj&N!DoWu!u9a
ziCk|{$gMx}1q(7&cBzL|rF!OnXt$_t~h6)vDSeULUd&A(_k
zQ5$PcjP^jT-1eYEf$78YY5%6o<9wITDmKnz=_&cgIxewSZsQ$g
zRtv)Kna7Y>!P481t0qK*!}B<}`A%FD(KwwAzO6MbD&Hq#urqGT2hr>weRJV^tnlOv
zqm1m0Rq*7v`rnid0l?SZeC@qtX?nDn<(^|D+s?ENe&5tDyMh)g5esLdM_wBGEg9h3
z=j~UO>CmwXlc6m|UY~%#SzsWAm$WrXSsy=bYQ%Fb$rgGDP{W4Ki5kLm`^kF|c|QEK
z%ovP?j+TuLR{hn2d`gEPDWq{Db+a_o(f)$ooqy9>4uf{C3q@=mt*1FY;H99kY
zt06K&>i!BpN#-sEXx7j7dwB5nL2g+)@}!By%XEv74{5&ELRrWoDdDK_`3lsG()xy5v$5FO2D#UbFi5>!u^4`8Hhk7v?YL7
z0DQDNjXbedagd?)3*sknQBrut5-@Ochj)o)iC0d82^B3FfRw#^W%?&#^B`%M`5l(c
zJLG`jjurmvqS7eL8z|SfSE(tlY_eRQf(Ny)v+7A|kmKmoQ%Zi&Ak~@-0$QLz;`~A}
z>8qo2jF9)m)Mg)_ggPWX_tk$(Y;v3kUm1&6g~;8!!RxlvgjIg}s%-#*rSZ?-%Yf{t
zsF=HVfEDV5NJz9Gs^I13TN-+ks7xm@IS0j~0Cg(%Pfw}-#X^ZJVs?`vk(3b(VBHu#
zXQlTC;>L+GfIP0)y7Si~W~+;2I%X71*{1?P!O4(%*XE^;vd#3FE|OBB?WKi6I}?Gj
zAhN3-96;Ah<1VxlPZKO=;}|hamFcGc_0f0ZrH!ou6G#*l>@IXCDWe1~ZQjQ_GVff5
zqjJdpBJ=iYhxN9<(J@YzHYENVbVi_7Y*y*B$rbdb$|LR3e*1NLXENli7xIMZc!{(!
zumE#zae0xVhX*C>X{sZqXCBhJ)b98iOy$%P~fz~AX1r791
z-V3D>BlFx-QzgP+}(=esGxSh->===*O-w|
z)$>81e_g~#cSZbjh4g19lm7FGe+?yen0p@^XU`pm>s>jlw5HYi^a{0|O?^@jPsG1w
zz1cvFxyXH*n}*(XzMv}rLw6mgO$SieerIu&&0c4lS?b;)2&e$8VXqIk55Sh(W~=2g
zFx>dSxR90d(Fak>G{gRB*tS>ikFDpBA7Nh6N2NMq2Mey)yWD4IN7*VbLe4eem>*;E
zmnWwiZv?H(Px4X&^Fbz*N#&t*T0v(#d5L-k#I8_KMlPz-KUAt
zRaXg5cMl2Ns#$8?q0UsPec{
zN4tFYd7L$}#iWz&QY?L}`Unm<&@BHAX`KezgJZLst3F;-fhBMZ(?k--KIv2V*x`uD
z%s}R?*1{Na>_p<-NzEFAKN@}Dw#w#Bs*pa+i(joRoH#~0@Ye*9!lER;n}ew^-D_SL
zzkIb?;zD+gW>UuqL}BPjIWO=bp5U1Ih~pZM)ut?qLuGg0zwD2Xb@r1$?Pg_VvSL}3
zlfG;Iq5b|JnavB|_FJ6eIa*^x#+w2|In??GX;pYvdk(-(3TdfI@5N$Ll>JPt1BLYR*2e`=5LZ-Qm^MyZ;X42mI4aKuQrV=g5_8qlUtF2+}oqE
z-=Ebx_u^?b=BdC^5@MFU_num`PyR5?v$bzd`RR7t%Mr4
zygmJT3%v=BE*n`DL(GnDY53c+ZNe}ggZq-6gul2wybtw2+Ae@6_qp1JN8$=e-`Ne~
z7=j%gmQH(Qbx7G9Od;PHi$iGCc${ZQ0^<(2W2|&Cp>;upwJ%&Gyl-!PzER%mO}z@Y
zelk(|5!Xx^(FfZ>f8LWdftY6xPCx>O@hWYj3KdfA;^T=Cqz=%Mp5W_oY8E}3eQ`H~
zTdwBV|HHx}qjMV-_!et;4~81JMxyM?3KM74@+AM&k=AQP*Q@is@@bTlM6ZslH5_zi
z)0l1MG8-LN!K3PB*COL56A#P0G7E>?+uxAt26QK8xl@pXy5ywJg03)udN^cV*s(??
z0TVeFHO0USit!;6cypbQ7x>T!!7Vi*E3}um$lEUmQargqgZgY&9@`DgVVB}$6dN+T
zP?u4W1fZ+1KR3NWf|1h9ta(g6Vfs7EYCpS$`wFI*Bfa@j^!sd4xEd48S2tSFSI_ec
zjFH>%ekV(hhc@Zz$9x{g{{Rvzg)pMy&8hTx$;wa6<2B86V{s$rptX3632P}W+He$r
z?PmHQ%mB~!&Pic^Ox7}N9w+hLUIS~0Y#!OLSX88^eD`6rASYIwSJ3j@yc`$u-e+Fs
zH_iWB3(#vyz-xIW#ln)t4hVcb6k$@Thb
zZKEq{yCzr^=@RbcKl`VLetlJ8L0A`ZmM(b{tFJB0mZOZm}I{
z!-*i7ZeZrIV-83Eh;$qyQ&eJb@;vY35B)kk`N*2gV&CmPa(zybvaQh)_MmZv3MC~^
z&&tTVRq*^gN0dBagDPOZy8#IV>J?js)9Ra+WmKHt5yQ7_<&j08R;IU}+e?pa3^m~o
zAKl0ck;1P30!*C0ZEGj;y89OfZ3@HzZ3mAcp{`8wak~Sv&AZ|KUq^D{2b$mu<=JgqNQi&5K!93xJ3+!@N$~hvfLlG#z6jeAK{k&yq>qBO_qXvkiX9COsufnKu76;8D$%*G`yY9$
z!omno4oFJ%))BR4iqlZkS}c_G3;HwQgJIX*xj&)~&B^A|_^(u?N>GD&S}Mg!<#gV*
zjF#LJe#~7?cr~u#<>&8ptUmvSKvRa$v&qQb3!}~My~@4MJxlTrL5uuPS;6xofj?X^
zgp8?cZJ6`-cbMS5<}kuj95N`xF?>sPW(s~=$#%P+lJK6IGlHf`kR1JD
z_vFK|Jwg1%7D5HhJVSBHF073bj?>`hT>)lKE9m`|jCXjrmmpD%RZ*zJY_dxcr~F
z-EUMrI%+KOSm=m>n562Kwg%LFH;39e#nGboM1?IMmWAQT>$}%Z3@iQ(Jo;JyzP%6@O~v)`ns#({$W%BiwhtqS?o;k0h}
ztisjfzj6M%G4#|RTfiP%zkq4amWPukG;hcz9@btTS9#Kcz2=_$6?7wpM9d
zN`vzm1L?@|z{hv1?K%eQ3{tiynE!)*{`4QStjPtA
z=z>dHALS}_gU9AP=$*&+wE$m;fh+3mg@nNlDp*Q`tZT$wJXg=?S>7GixSz>=HsrH%
zhYy93!9b1zP7YuO;*)K&OV$Xh#f7E2d!aay=5*HZbwp
zRU|Q|EMVp~qNbZf3^%xxdTw?OknlCf+9W25d0i|~00s4P|f!_BV
z#9{OvRNVmcmye7=N3bsPqDNXa3}>k6kLbU8!I}XKoOTVkHX9fZ2-I(n8
zBM`xK1xqZ&I6Ga;G;$AMhw1zXq^k@w{7A|i*NB!bA2E#X|2Z^V_tG$cOsqtPOx}0L
z1?!PWWC~!z9PD0_n)Tdp+7j;?Sg3wI;>$wT8v8*QU-c(j!aop@&yNgd`ro7UXJ+p@
z0?aUmmP(3$Cm13&&&UoqlwKkhfB(bJ0%$c>FJ=KVAop
zx!c|+<)?Ww`D2NJl}0jO9lG@QFw|W~t)Z!!dI}-Gklgz43b-e2RR9D)F89<(YBK~w
zAI@UW*izpyi!P4xIIfh`vSM&6f{YcD6tXvP-gjFDdlBcfR(Y%<{&jh9@3#d
z%3|_+M`QtyrAJ3UrVI^W-m7rreaDaY*vXI`1U
zEHb5Kb%mck!W2KT_d@Qf8vDyO*{tjuNNkrP`I;Znq;j+pF_(j&KE5UlXbGE#&Ibff
z&hg+yn=Q5Z2*Us-+JNV5+M1^~BvqMAxvH7&UEyVhwDf5Ct$+IDZDzlapvDWV$N}jt
zIo_$442ZOx_g5x)M$7oRaRX2BB(7NOo%_EStRd@0NcC|4zajl9^USui;eLEj-Z+tzE5p##I*7b=hz|m=9$T3^)2s<
z`cwAT%IqQ_j_ZlSK$9xQ@DjK%jMaGsil%M&7mtdINN&iDe}r^N~owh-gd;@4>$ub-v?_
z5&)u=YI$o%i8vQ&G8hL!h`0B#a0f{Z%O$er!R2f$nIdaNbtwVeF|LrUZL3f$JZ>uN
zyLpjOK8~E{s;2Q>4R8fYVgk+^14Syt%q_$q>`xU&QpSHyUCE|ni4?!|&otW=7xH0}
zzZROt60zN@^r3njDrtOnhO;QoNMP_2&-?-1jwTxklnDAxfsWjMjncrIhNXd-j9U5rtkeq0Km`wemjK^Nl#Ka)?=v*X
z|ApNC>e}s1{6&uxZnv(&J%Bho!$!!i8(S0w23V3X^ipYTADH^#UyxAWi>0~bISsf6
z$=($VD5xe>e3|%Fc!~zi2Qm=hc?1|-*OQz!{)tGOUX*`zxt?jzZGuU;HB{j^v3UVHzr%?EAiR%`bTv
zq&NSgX;qfu+bjjEzZ@RczON363w6Q%-lc-8g>U@|G}qhX<*yp6&J*8y1O_4j&q2FA
zA$uAe%VT%i0O8RMKGZDA_k)u+5im!K&5LyA|YB=jkD^hYB1g)Viz<_Om=kNh1j*F7y3xfm;Om
zVdyWla(xk3?YCHPg)F7Q^08D@jjgr8mNY4-t+?b4Ew9wX)t(feDj7IIy~(_!TxWnX
zwq38O#~0&Dp0VTH9i{9vz_DQoW$&~H(D(Ei{I`Cw%YNlv`a~KW(<7Z4LkQ|iyDgT_
z&!*>w7j0mebi{WkWB`
z3u!qI<`1I~=^^j(^2OL)j@K7;D^UGK4`jJ=p)`|%E=PTHeLlRqX{pCQPOY;aZ*rTy
zVCGOW6@_0TLuuP1u(3u6vJCsPahN#cAUt%E+uk4Fvhi*WJoLx?4J7ROWkuz7$F7NY
zeuZ?ew_#D{pfj0{bp+lY@K6-pas6Kp=bJ8HcwS)oI}09tFKf4JWTmd37hAl_P{b
z|IS;H>bntKt(2aRX?3x-X0}>L0)MEzy9+
z@pt*T*;Z_fHaEnBQ*v9athoPrL%syGxtXtB4Cdwv5E|=%LF5;keg@)Vr@W~1tDAQS
z&j&4z;tC@P^=62G026vy4A4>-A(cmrktCpXrK1Y41BB3rPRP`7h=f6PQk2NGs!?pL
za>$hb)rIB4^AhLuW0hGy7q7LK2m|{MEk7_Q94V-|U?p!6Pe;!2O^Mt7N$?8AcvrbG#cA1Dx1M|Y(d2LYgS4usUjtYo@VuHtm-u-GTDwNc%P{5OR+5`}Cj%m1Jr>At(uS2y_Y@JXb)
z-2vCXcZ+4T2Bb;57e@zcS0X2p3uC6Z_oYV5vcSTwFXz<^?um5%83pJJaU!VJa>Frd+4sbLe`-1&0^59QXoSzm&l&
z2Ldf2eMv3zVU2-_1}l>-b%lQ~z6-sEM^o{D8LOvhc*+m|FEGn*N0EV{r)uzxnHmj@)R)?c0B@WrKH983Q6ZVS4aZ++yFys*k7cd
zukdU++!EeGpi4)f*a9IImw85@2!1RN6;{Eg|A#VR!oFH2h!oamRYj9$9%HA`U@=T}
zaI624hZ?cpV>Tc)wlg!H+_PT%-e6^4Mxn@5Q^?V?w;bSHXekQ=YZ&+5M5?NbCRYfG
zC+lr2eR;l`opct5KPdD~Jk6A>ykRGu0ENhNupH}D*b|d7Gc1?-i*&h`2FfRmh+$px
z?O(`!c*WHeOqs8fnyPHLMD1bD(OwvTxQGnm?>w3>DA4;?_fN?a?PrwbDV=6iBXS`I
zNHk$Q4Ca!o1^=-H&F-b#KR*f+R0lvx;(*`Nw2M8u_Gxdbs5mooZT>L_yQMIEA+1L&
z&1zz|=RQ=E)BiGGSQKcW6g=$)e^e5$zH7WHSk0JC>Siokm)Gl?HsNl95!{)pWU$xI
zw+ADRV2rS|(Y}>fe3&Ky$!!?;L+S3MrxvgldtB7ssdyipk^oan`6<1dh@EuF64TRU
zoZ>%LDbtPO2xeVj|1@aI)u2VfPflGVkH{aM>Ke~G?1?-RqttLd=Iw4r1@tvs5caY+
z`dDLw{b2F~=M-ZODz%5QGnJ7R$5$sCsWQ-
z%}3k!dt8BmlFs9OJUomz9ah!LXRO0Za!?5bHTZt_Du@e75HS54FlPA=tOeeKVP&^c
z9ozU6HRUdn^eFApCwe`cZf+P@+#=NwZS2#n!*Y7|%-0DGUnayR6$cQHQ=mRU9b8&x
zt>?idrN93%Q6r-V_#ib
zj~T%YHpmw46Lk=tght-{hh{{5o~aNV@tmFL(n^&$$Tk_ZLo|Ko^D;Rg@}?EoP_hJfEavq0|s
z)#?2iJ4cShIJLb~qi2d%rxIX-h@_l97{v7BZsNNP^U9LZv%+$8#zBUEFTyM8^-ZB;
z^dSRB_&I0FA1HT!|1aMMMg8{Oi{8Mf^FKNii#_(avW!;!Y6&(Gm-?J2(9jrD(sK^9
zU*J!E&mS)Mk2Ey&S0=zbUSYs1TJJ~C;^Ua8n0Hb>_5gW({#AQXBx2dA@ogFcpiO1d+ijz
zxcu3@D*cBs@z&{q6v%fsQNvr%OW+3uf*AeTzOl=vH{%SbnQ_OjX`D!)GO?GyFFR+3
zeokQ6BMYWzZ;u51YAqdk$Co@g=+1*A6m%{=%vI);%z@7#T>d{CWyR7T&?_@6)Is(z
z&uXJN2_2`^{D-B?$-qF4?q729q4scxcQ4o}1TwECtrUjog(4S=F@zVd8t-qw1?A2d
z1VIAv^W7`@8z3lran~k{%R?bx-DdH8_0a6A@%1(?cGv(<-|x(YfdV`e3umvb^r^vP
zHJ1=>f&W-MXS-h^^ySU+Wy5Kn-o3hKA4BxzxFEmaI_RtYenOOZoK9a|tP%joJ_ceJ
zPan4z-rmT2Stz@S%C0gqI*49P>KE*`BQ>&J2O=Hz6SDgHeSB6KC%SWZ@(HX9{?shA
zp-t@YYgGMz1rfVxPMEG>B7#DN=drnjra90gLlPB4ut8F`H>i4X2#*g`=9U#L8e^Ck
z4EU|T$ule%V?zjf3cwWSv(OcZaQ#VzMr$5Nc1x{(S*`YzC>RTi;z-kcdHvLSD&{d8
zxH?2wb^ho3{Y|jueMYtU<>VhUE)Oyo!u;zs><;fM0vnt45Ff@zuxtgZ%4FpyL=A2E
zEAT38V$(d`tGHq5*C!Ew9MSZBjTBS$SDXBwnjH$kEmm!|s#
z(}c)=gmT~J^F4v>{%)|?JDzDHniHcIyloMr#)k$K(W4$hR<@-QkPQX-P*Ttbs;X(1
zO4Mbe2vMh_23)eZd;vctdwD$r;V70L#EtuZayE*}vDxzVD!4MZT$~{LY=6xvV0Ggg
z3I?p>hG*5duj9?kN`QEHa$v7c>
zU>Ob&vB}YTRpfgYo|0|%aJxWY?MDUrvCiRVBaN2qWFEHgDRJpZaF%
zUZS!Yg={8Wh1wbAFN8iq71EHrwDqXN>y?$8U{?Pb9THR-7$g9UtPT-==PODf9X|7x
z;VZp<&jdsQ_7JDXrV{W38Y>3X`NRl8@6cy5sw*q4Wnp5674O4w1;}}&{4PG<_sN=^
z{m(sCMg7Kw0?VVRH$VK_@93atEii9NH7RF6^LT`0LMkeXJ~EOu5EZC5mVSx^4J2P-
zx&6yq1t#pjhR9e>7XM;sp`~Pj<)W1|4U?JKP5`&L{Sj*tqR{l5#pF>}Isd+~zoGng
z;Pbpe=4@Akf4WW6E^0xz
ziOi(f{e7pWpmaJ4WI{k~NB)c
zEDGa0IB$&_hBa8B_v2UOl;&^Xv$;G^Ei=mjp)F{cZ;N=~;)L0ZujjM5H?*($C8eSv
zgOf-|eJ%qtS`j7j6|~i$!J#yd2I1yuy45@{^xK=CMz_U{RqkFVj`>GoqT{b{38IHi
z@*By6$l#Eflt+3_>QM1eTUXhuG%IRKq`!T_f?oe)G&A3nFYsIQn9CdggTrcm%|J};
zK31Sy$BrjE2h3^hl=exDtUK*-C>@qx3PdSUz^M35Dni5yYL}|Q#kk)dZR*ed9PP{*
zuXD=f!VD`LWEn8q4rXA*f7^0Dp8^b$GWPa=9}WA{ufxEM-p_M%{ay#_&Z@28=GD0D
z$TQz*&uk;s-zA3$0@s@V7iWLAL}lJ!Y|TWBF_HtkghdEygt?ecNbz{^`X3;5NxrY#
z>hH`FSP*o6FC=CHslASA@5p4!>onW=I{P*iTPl!_8pQJV%07IE>FyE3Rgfi?)l)pH
zDiB9(YSdm>mze*!B}pH9aee1RL#|wofab0D{o(5Q`fM9khxw2_7rL;Apuv~JIPh;A
z(-yjXZ9nYy;I#)~Yt}O%;kQNagD^+B=CiuOb(HE_ZU9e9shGt6tW+Lxn@H=v>pG2Ma8eRRIpky*Zw~D!5>mWO6`C^n=P7GaKWc9^eeH?uCPK$k&|YzrFmfU=foQFNec#e<|y*ZAq}{p<(|Y
zbvuwR!q--cic3M<)&|^Qz=W0J7_qcB`J~F0j?fX>%U#?KsP7o(lnKVwaTP=EAy(S*#0*9_XJ;_fVym
zzZ%Yl`n*XiH1N28rsQG>N1ke&w@y@5w;sD%h6ECRMgbVH!mqv)O1qabNvE5`2k=Zx
zUdE{q5bri=Rk8gLIVx@9Z#wAHM9{X(xq3q=DT78!X;SBp>Rn
z{jDp+F7Y&Q=z3V3s
zl}ibov@HEcVF5shH@*#`@SdxAX?ewGr&r+uU#3lvS&)r?8^t@W&I71aC;OPZ$izw7
zqB(l?^1DCVg4XY;~cpeQbR>y%sC!+hb3(wY(R5e5K24YP9q6*d>WX2L(EGEU#JhYp?H
ziwtYtl(=pX(SDVbcmjAxTeuR{$288C>}1u)zQiZp?UV5DKI*4&+wZc)lG)^2={
z@RzEBMmL7MQf)Ij7n8?`xvK#b2e~Fa3lMvrbVZcl4bIYA*veRX=)GmPmK`k=ir2fGhrK0+MF4kUsVpl`#%(
za2PrJGbTCb4}KJYx{D=jb7I{3uB<p;Qin(WxaB6Dc
zp4Tp=1ny3~=V4N3;>mP0qJp~$JRE>N_ENbONUt*=Ow(EYz^eX3?ct|@O+}ykU{agn
zv}yFA#?3vxFlr0cjf)gNc1J_yYt{zS+mSDN{X%ZwpKpJs17J)Y1Il;1WY2sNWSKSI
z+k;)7U=uewafdDkd#i1YFG=dc_`gdW?Pyt#l@fB~a#;4j06_X!p9YNS^|5=oy}*8g
z%@74gFal3};u&qc3w5o0Nro&!`7WZR!g-1x_kum9;M@i_O$r13-3wChrS*6@GLKzs
zGigk41J|NF96pQfmZDGPZ(rYG)(wsrUm$%mwlr%kq)x}4ZrJS_$m_!{zKtBfB=k^P
z$s{Pg{ZM4@oK)s^l0R(en{D0DIF-Sf2_M<$UzB&j8~v0AZY~1LjJ`VArvK?O@SxvI
ztsE=h_N(iJD2k8}qWU|lT_nx{+1g!++u@u(cjlir8saZu6Is7ZM77ys(sqCK&CZH8
z%~Z<`z?~{BdFZF#C>VU+sHrre8c^5aH0UjT+SHLYMctxYUN>7&6CkzZw8JGeMlD92
zwqZ4t#}p7HNL4Dz{Gaz)S@a1dQQ*-mqX}!uNjTDuDr?+)5Tx^sbHN6Ax
z%ESe>o~)ywkozXS#F;svc_y>&T(PQPs6atPlh<&NmCntd70sadL^BT^0qMB@CAzN(
zGFMJTQ>8Ooh~Tz<(QFi1ieGpxue1KnaTmB(R#ZLg305Iwp?_mBoZ5tSS#o;w&mNro
z7LHoQBDtHL{c%*y2U`=Bc~e21<`4n3MESPX%Ne3SbJ~1)P_fV5)4Bifaht;z^5WPV
z!)zk_&e>gnYi}fk8eyNde&C-Cu8-b(jx8{Q+?H^iyS
zA~6P{$DI3Sd%&-x1z>7v439Qn5-Ps8&NTeee<4{o3&(@_})N<&FD%MtK;y$ZZ4JO-Gn>rBbA&YSc!}xVwA#)lq?=Tp4G5Iu`C4VCy1UA73
zOc|7(P=3xxrM*wpej4=oHcxFYWgY?_ZfMl8CE2U|O`p=tsa%(gcez>E&uc7|kC~}7
z+2&}`y>H5F;rC}$`J?8hM}DaXs*~HNCy*$U@y;^L-q0psS)zyVhI{}Qp}cW2F`LS20WQ&?(}cR
z!C9{Cq3nWoQ;u;iIV;bSRC8b)oAj!WPEf?sKz?d^`*{`vN;R6TP}0tDRO
zPCWQcxD-pB3Z>LVS$a)&Xq2IqeDA%ERBzCZ;eqDm+J|<0LD%UE>GB6PbgS)L|AnbY
zp;+W{5A9P$pZ9bL&7J0-v)|}Fxl08#cv}{99xvkaR3)B7hnHS{Dsg=Wn*8QD`$sg6
zj}lt*wW~9W+%s)0QchlsctlJzjyCT7^JyyS@Kw6Iq`{ZmHOv#P&wEOUJB29F@tcgQ
zNTJAffg+-d!hYmgG<7}*E7uR(S6BN|;;*1reWi)HuP$|^jZcqM?lkpTxMuhDH{GK?
zYRq5WY@Vu@rD?_`-nKh&Qjo
zu%G55EYX*EJhi8P?a2~Zr+6v*D~Zw$r?cjVSnlcJPHtLb?A7}p#`UA>1&Gy;<7!?V
zz?P#_Z)q9^W|Q??WIavSzP*qFK?5LVb47N3Fn2Z8!T;(0Xh*x1`k@3t^mIZnswWoC;~VFJsPThnqQk4sRY!G}(eJQU^Yg@u
zKS?V1!Q|mfv(r60c-N@D`zH=E^RN-EsH%6<#}ZN~jQ6v9rTU9MzcvfG8%@l`+)cj}
zThvQn<#761MmWf;y7)^5flWjL|4f0Xoun|xdaBdKa#SqsFb*^jdF0(vwsGLjgyv$x
zlv~gL7D^$~7yo1_9eaStaOehOp_Tqnj-@pd`B-b6j4ob%G*gf^X)l9oH$N*^CNcF#GxYVtb=M4gk@;(e@o=z7)>W&3
z(kJ!H=F9RWV@h@h9p@)Yvl`tx9@@%dZ985GrSgftvQ}mBn=xkT
zWxcn=4~s~m`S%4|_X)|zej-j=yr}*x
z3YrT#dP2UEM(MN5CP9yD{+Vh`XUV9(BR5x(ok5k$rHHI+@M}KY&e(JRNg<0_Hm}{S
zBK67p(QFo)AjdHoQh)VxH=9d+wn(Dc79#a#8<%SKRN9%Ag0d48nmhaMN|D2s_)6BO
zxs4vPhvt~k6JqfB+on7!FxwmGIojelv0}18(s~@3PmRBwFXNW@%FLA>@|&-`dFF`|
z7;ea=93xp-+|oIu5tzA@POjag?5^zfHN97q6Yfx;lV>B-3=La`8{!*@l=M;L9>Ljr
zC;>S0CL`W@W{CTHVX8w{!3<8RJbD+KAr|IC(Dg-hHeYsZg@J}U!8
zu?Q}ddMCDULXcqOX`5=m(XVc3X>{1$OG+`p>B)aLs*)dxl1i`S&BCbYyO}5)TNx`v
zlynl?p29BK8~+|-nccY%i9=MrTIQ!VUI960E7KM$&5G++_D}w<#{&u{YfL@pp41Zw
zGi2?oI);vAU3pJ?1iVTKw4gACH63ap5jg1j1>><)xBNDxnygZ%@2D?g&g1$?ca`Gp
zheii-_LU)$g{fSgpJe$S?V|_fUhQ8x(KTdFeRFR7=`%h&Slh5rZGM7p*v9$sQP%Ia
z*ihPBo@@-m{(<5>Q{i6u8nW6g_$Yv>3k5$N`?PE%IdMO6C(4VCp5=o}iq42HDX;NN
zGIw(RcX`ox#-80#7O$wDW~=fu>I>@+_HzptyzidS-Ty67AOVB)Om8G{bgnzgypbce
z4ENVO>1iVUsT+IwcbIwpa#DF=oN13CDus4R-3VF!hefYi9jR*i(z<^`>c%-UxD9eo
zFn&o9J%Eo6|BB{2H^81juoCMtb9K5kbS*NAEt14(F;F4F(MhGRnqJ!X;6S6t?xeu%
zX*!yP_q}DOEXQVNql=`gknMRXSa2zlY+M&DUF^6z@hnhX+O
z>h5IEFC1!I%n!5vF6}wkdmWokBgpd6f`)&!WC?@oc5Nd^jZj{*{8>JUevlW#KC1FR
zPsRK$QKhI7u^v7C`ZBopx2#$345C^N@s~Em>FR2DW@_4$)D6bIul18{J}6o0J&3dj
z2=VIckD5j&1lJKNQ~)46=}ccrS$-#Xrv1EAjq-(CNs{%Fee~5lV=SOb8rEA-sVg>d
zDqiUyKG2CCR9eL~khSfJYq(d`T#wuf6L2*uJcR?78n(lMLNWf*6cGsi8ecF;bWr(Y
zbH;tzc!bYf>uMqXQnbj%8ylzRvqv?qjSlCQ(F{PZJsgWm+wDSJ7vX)6y^9xmZQ)
z(3rJ-olirlNn`DKzQt6-*5+ia!PoTmfv*Z
z5YsAO9Ui!jyQ5}XT?58e&6kgt7HtGQanZaUIFLT=%IyY#WM9L!mv-D@jT-#tS>xPf!eg^?y(<)*mxtQKgL+o2gZHUrWveiwOB?fh
z<~T_JDf0RgU}Z`Bi|+RWb2Ceg4xSeXpKH5-#F#sn9QR*WX_Nt0hJAxbbKYI#Phxg)
zGsG0lb-kZ=+82jMyrixNp-V&M#{Wz<@)WSph_Sr^h;b|bF_qgC-H$1_sw8$eChB83
z57U@!LH~)_$=DP0BrB(hR^Km_{tVfgs(tHkb76ab|CNBa!3
z`)oz*Uhyo;yq&2D(FqzrzJVq59eG{otg>f
zV?yu-lVv+Mkay3%Q>${mUydCr_3C~)Ux5*j
zKi}$%;3ZBH=uYC{#R#>#W_B!@$639(@=N|EYqUI6^e%{QykKoQ=bDo6=+w1DKn5zM
znTfVHe1|W1n4X7XdV3()Xi<%+DHD|?C3swM-dOg+F;ZZ0^D(E!=Ftj!5ujMHCci#Fe`UguY;$aPBK>jZ8#_9-auRWkFH-M9U#=%8#l
zbALl2jD-QYpgXs$zxvPHvt9puR{_8xqiGw?HSyV$`f%}B5q|cs&PESAjDX4d@$XfR
zAGw0;dbGOJ2Rqwk%egAIZy*M7Da>24Nr!o|BJ8MENqH
zlwcs)uq0XXY2EPj2h^#izNz18dorbd_1^Yxbhl~hy%gMMV_zG0)7UME6(Ox~Rkbq0
zWytA1EusN=D(|@3B->O}yW-sa2GlpO3chIiw{)$kZ=;EWJMV
zS>z5s?Yi=iWoFB-0^OzxOZVXV#qXBX;0TvvBMpLEg^0$2uj_);L!fI60%_@-Vg8cm
z&5sPQk|gRaOncnkXG}MhL&~pky^v&a9st^OYHgY;&a7Sp{Z8}h6arE8q8T-^P=
zN_4(b_jNf9k2ts;wE^Z>1811ve!jNc%q+cK-RU!Gsn=LP-(-Xp%iAZi1OtB~0@`h?|6j1@Gf{NWeWLG9)pW#&kaWMV5$&<
z36G#@o|{RDTB9bCkB0XOabMG?N5$y6t=V)3$7suw)q_K(_5B-1V}W7c
zA&BZmo~2QPMTv$nI4)OmX@dvD^@1>oN`OGW{-~IL5&OEo+l#i$aV21xEEcA(weD>0
ze}iOa%a5+D-NEQpGOa&WILZh_Dh?BWLRw2(br&QWCg84GhGu&JmdePAPslHqgr=dD
z&eGUK2VZd-*cuCis3=32mr}8KlWSvvh+z+c(@w&Ykk^%DecjE(3Gl!jpAzJ-;$I2b
zob|bL)i1y>6Eh4;6Eh@qY7POm&z#+j$fUI~q`X9EfY*`$?Yn8)WqiSDs|ms@kyNYS
zUba7H$I(||80vWG<4t>k_s9v)S23Rqf)Za+47y{B>a*&deGOWF8Y8ybP*=@1Xp%ng
z9k}{%_d-9-iCu{PjR`PzzrEl1adr8SqIjG_?ijDK_RP_|Cd^^jrY+X*UC^6s`Oy9k
z4&yuCj2yg{(J~O2p0;gBJMNK503p9;VXLDC#u#ERn0VLBA!_4x!?fMVTT(H0q3?aK
zZunYfwv5QP^1Ws!sH50ad+IfrRL=)OjV0Ij_;1y?EX-72VzaeNW|#3cxJ7Ftfd*Uw
z;bPa>eJW*tPvFq3$+8H%6$U0*?mT`x98ZuK{@l^ULP@ciU~
z+g`lhS$Vb?-$*rjkz^>~qotp-chtt9;@fW!<^AzA1IZ>j`GJ}BpAH%*ib#zRCH?bd
z1=(;w@zcQ2+Sjt#>B*G4c~|Iw=8s5rAgA%;RGt-Q^JfTxV?q?$rU~+gKA&#Y^!~`P
zl4%H-pQWgaHFWaXRAt1^-^b#evS8lfcW+b2$~5h$91wOGXe=)Y
zFo-^Yh5IX2HabkOi4%3qe4;ki#Hl*RMTbq^9!hD?4+p!a)`l$*uuJsPX>pyd_g5?O
z$FUvQT%{m;&uYu5uwc%I!Qj8rOa;;7aULXE9}T3&z@q(8tE9{HC>|LE7kVu}O87@1
zM{{>0&S&c7ai5vY!PmCeB-Iv18RmH2lF_pw(shn&aytbFqr1_RtcJ8E%GNU%=(_r1
zI}vZ=p>YdK^N@Bipj0UY%Hhg^v%Zj9k45HH
zrmepu?*!?}x9_+sf{2a}dPVcNG+R!&WUINM_h-BAxs^rGXfDo4g7VF`zke@V)>5|2
z*x`n2{`FL)ezmCW^SX%DKy6dEC&$8&9}d#Jf;?vuJBv?t`x`P}YnXQfN#;?2&Yw
zYT3*FDmyQieP5y*{tDx$-)YS-hQ5M1<--N7KRud_cMElMVd`ACzskq1jICDrrd{~Q
zeOGs~z%aesZ#({@1sCH?yp=}rztm{cgI9P>8tef1F6d_Q49@$4ic3_lPdZvRYGa@<
zH`M8C#I6k*VO$bmy~rwtUl+D^wytsvx*%;{<=lzmz@x27sGdcrM=hR3EJ2litoL>4
zDo1nboFFo^p~h(*_teCJT338NkqJ|0^p;zHqLig=o$qVb?rj7$yXv@5t}1)CYqYhi
z1aS+3y=`WPm@pl5?Un{t%8#&QSU#35b?j0=NWbM{vz4NiRv>L5fN5OqQgv@5X6n~2
z)3q!)DRrI4iO$nk-I1^^KIlWT{~XDut}^_tq7
z5}wOhH4s>(;0&)^Q}v%HK?FJc--@6#^mHnBxHxlEetzkwtZbTX
z6^2-ge^J|!MgEk7lrd^;o04f0EgMx{G`;ZHn|3FHQh*!_Ef7BDGNwGyWSqLBk84yG
z^s4n-Dc*9^#B9FnWJA?3X4zIXu_mMN#q{67C}G&+!}rKNm+t%%l^w@05x3eJe~K-kcDzwpylq&)Q8;-(m}niLtx;#Fqg`%
zdm*}Rz2;m%44p;CY$~t%1sL+urTgOphN`CvR+DGZ_MR*<&N@b!1=zVPzb>i!Gj~iL
z``2%`F?@)I=rCo0)#b1d8AbsH%#GK5SfcYR%z8h3sqjfNpJ=bf%rP}gu*!z&SLPwS
zlSSiNf@w5C-Ssu5xmun4VF41yJ
zSq?exjSr(!-2KOE-nL>Z`r^Dy=pGTOKgQSngY@T>2HPHDTnVbW;7C1%d=*b?nTvw*bQNyBahLkw)(B?)#Es
zZr06_g!mApFSY?Ur$x`l!&L91>}20t4Hnx-l{3QEyPI$N$T*j549GMp)32kHy^Os7
z>t^loJD{63x|%|0TkO`O?l?G2Y`jjzhGch{RhlPOhVlF{wb4u_vChoobXCq58AJ>E
zy-WEjUn<=w&#o`k?>FIaJSNq)H)=t~rrSi3TnT^fg+*+@MY05a-T&i$O)}`_!K?C=
zP(v1N>#92xk&%)=T_2=Jk)>_@6GPjxHoNaCsHi*qCwA*`u4U6F87D@1U8m;IAfCt+
zEfO#8tL97nM;9EMLRyK?O22K)?j*7_D%sPbzTy6q=Q3g1CMWR8*brsg?eH>Q>h#_o
z-~xo<;8kUc$Og3i&Y(~LAV<Qnj3J1d06x~cv
z%P)YLG9Xm5`Jkr+1EGmuy#YP_`@Nuw$1|CFMD>p>u46aWb{Q7o
zOjHiJ<8+4>e*-XUhyS|U1-92-Fba<@n53VXFeXPI8dHKMPAm0OCk%WCw!_9EIro6K
zfrL}K;ZJ}~3M?3@ALiSt6lyA*VySVNoVjJ=rFGJ%HJ180;}QP4SQy^Ol9x6+ALsrL
zBW_0qPP4CFNr^w5BMwmANhX}*zpJxY0=9f>8@{6i;p{Y|NE1Lf2OU@T-}7g9l0JzY
z3YtH*_!OmX=_)JrA4^g!+6JuYWv-KiLR>^J@f*?C)tq(Vo0WT0axg6`2Z22J2pGD>
zS4La)R6LHHGsoMAE>>AM4}A@rbvPXuf`1`_#areVk~^*hZ`;|M+x&Pv{3-#I
zeYdxZYvIbJvp}YN4x;DsfmQ-jOS{??D!rN)*O@r{Wu!7;h%GqNxzQr|8x>*g`*?T}
zOJ1U3=Z$K&!J!U;?dK}JrQ+c;DKF>;ToadVF|GoO&*>fVjSA=S+z|mAoC{a9-SF}L
zPa6!nIDvDatsUh=iMxKM6@nWkwuH
zaLd&oqUGy6gNL4ej2hL3Up45lIYq{M@qZ4$atTO6$$V&*Nl*F;a`XXw;k
zJ?^;R+^GICyU1Y99944Qnhs3DL*~8ux1S{qk%DzaM=JGqi6?nZpa8DCZNs4()%*de
zi}BNm*ovj!O8Cy4~CMp9V<+RMsu;2K1)
zjKpNq`jJCB-vWBt?j)z+*e7$-aK6LS>;w;ThrSokCm)sC-cOG`gtde&k#}6#@>&GS
zA=c^%*UM6rtOjQR%x`0`*aqgvA|A4ThRr)XoCV0zHV`_5J6L$s>}c
zNREG=z`_+!=HP38`cntb|4IX=@2UDIyIx
zl;T}nAa}C|iJ=wjR$i`hbfWq6v&?F-Wy2;Q_w~MA7nN@EAzfYNeYfciHB!eTKAfNcrhj>cTpSajc>^eR=^)tk6Mhw5IF9L)?;g=!xjsKj2xG5LXK{Th
zvjs|dr!DmIz~~IY;`!&)2*=}otd@{$%_reyb%@@!-QNC@n-ccQ<;Wz*GQQixyvk$_
zo?lm%tl*wO!z;zqE(QKGe)9d7^pDR4q+${*KSqMtF4W5F>ufYliBM$b@v~_p5$<6<
zEmgP}+A~D8a0LtB8aODvW(xAQ4EW3ikEc(Rqg2Z7q*|kdwt7qN>-PXZJkP@ni##DQ
zxL8~8qP!1
zCi%g$&%iBK%HgF2z2uWHiVaqBiJW@W%h$9L2*;k-O>YaqRf-e?K;<1!#MbJO)`acg
z^9Wzr!|Z|&R9G8e7iQpiG4)jfnx_mXzB4ACy{R4(#~Ye)GD;kK95H0E3yi%w>elVO
zk}A$xQ6XxI>$Ax1@j64$>le|_bPAsDP?_9egQE%6v8q8%C}Icrc86XN&HA{o%mT`&Jo(760|&@U-(
zE4$#Cc)+e9q(2p$4$}gLWhWcySm0E#mr;NZDe!x2(~RX6EI!Esqh#Pd;mf5fUBrQV
zhk42+Q=#7Hri=GZXP$%`cR}96`AK5^ysk@cTSltne?fV@>D)!4XcSh-4sH0j{xFrQ`c{BkBceZW&47wL5Hi%V$L`3)UbRxt1t
zFfsRYGXFk9Q11R4Fz}o@6Ixjl_2rC;AN_y=@4`@6^Pbwy?|-oCzzH3=Xq+h4--#?(
z1KM0lx8UEKPjE|dIPi8r&xq;c#)fa1R65`_h@RO_%!;XXUS)euv)|LX^4Stx1pZdC+*02jy@p^*e`Ll$5kxcTIr1Ey&5Lw&9WxGd~8
zzUN#rc*x}LSh7(($-^ydeHBU!b{r}=xC_KST0nQfFg&xMQM7MuZ!2~XDn+FO5gPCP
zEe1rmFg_;WiggIoEszLBD2t0XBrZ3-bDPBAGsnI`^uX8w$TK!%BMFCkf2;-~Bmn}X
z_lRm?;?$liCUSnVkxI1}()``p9KsPBD|~owa100DW9=ES-ye7~?jT2pwgbc)2#NDR
zzb9JYx|f5=-r6ozIC}im?^F)pwj--=l)KBnIr$D#8R2CL#)NX}-Uhxvc=EF4#2EtW
zy^uaIEYIAwB&djug?~nrUOklbmy9I8$(TOL&ycgXQ{9YU7Y0IavCK>%NuGa6pxQ?L
zOx`6p`l2KEwCVQ^ydg^U&Ggy5Oa`DWc+1Qb?%TbZFBhn~Cp(3-3ElW}2F(di6dPj+
zQI-tPl)3@DXu%yISe#2zcHT5Vt?ZPKA!)W}FPYXx*(Gk7&(Bz2!@{etz#DMVke171
wPQZPuk@;Bo)BoB(O)~$#rC9$b*W>)_gvlU^djmo69j6h5>zU|Q+D*@Dr^j
zlKbFMH
zWv3bgNe#wBuC=Ec0M7qkhEe!3FF@pe-PrsHFu}}w*uwImfa7jkMnq%-bGu3}tlx50
zp151@jmYnzzVyQpV5fBjT>KQhvk7DMA4flncQ;?q6i~#X-M-X&u5=WgfGpAs^VH0K
zggfsVJol0k9BH>-07@br=noWpwVL}MO%oQKKl_7&{u3Gn5hs4)%&;s
zJ`ebfs6DI=dU9h@M|IS-xiFeV)9jugnY?C2g#qI8PW3Ru*-}ReUDwk8;kX
zw)$aT!gA*IAu`A|_W{DGq>38oN}-Z?*fB>hW;F7Oqsf$6A;bm^<_sx@)C2RgR=C<%
zT0OZ{s6tL5Ifs4kbX#w$g&#q_Af{+~XF;wj$3GHtmgjHUQFU}5)-uR%;liGUR^Xz1
zlNh-*(6g?-%^542;hR?J=Q}z55nkwnowIob)I1P=4112`MG#GAQ9}OII&r_PLG96F
zD^2;uW4MEe0NH3Y7J#dwQ-($R*mTj@;2D=mWMF+LbtRO
zLy|aiGV|)>yprC^!XodY(Q9;O2nS6Fc(bD0IiVM3-Lq>xiQ;ZeU9=!)IB6XTrNw`-
zE7-DBLJl~*3|zGkRzZ0^auUEt5HrI;M>(1d^h(=qzoa_7;;bt4;GE&1X|SR>$tXU?
z0kX1qwULDA&6%$c(Vt~6#@d`4U;!cr-bo01&%8D!
zUku@$P}CkD>q^PEN8ZZwFg!MYLW$UI#IT@d%Qjh5R8RCJ_p5Wi2z9BzMA*)<*e#K<
zeA9s8%Zn)7YG^9v-Y1A
z#A8b7h=Lab*^3wjjk|ONef9P}t(5?<7CrOA;8)A8DhaI@Fi+?|y~L7t_fE9kQs(MV
z?ke4U?xk+q9>Ir>Oq5lh$lWiGc9~ozULK+Xg3AYZcPFJaRgZWrEuIoFHL=)eewrJ)
zzdZ6=y69P+LqyX31DiZ#1Ssy}ipwy3Sn}4lbC9p-kY10h{#^e4Dr7t>aIq6@1>K^(
zqdTG^i`!Bf?}`64In}8WR9;0^+YW79Ulm&!tbsp9u1+Jt2jLRGh4^pZDC
zv)lqFlluHaDR@(wP53vT9{8dQw8&L#a4tNR)6&${Ywil))^4?U7|p|AjGGo#Sf1B4
z((#O6aMpyWr}yI~X+URo+AVxft1LMz6(J31gYLUQz%x;A65{*H@o927T>1;__}5Pl
z)TY*3o8x+S2XnIs$B7|tfuB@A2mFv<_@wTrJTIT|F-kXgyc5
z^hq^S99HL67m-yRVL@<#?q7!TeyDH2hMUq5BM+otHco{w*hSA)k?-aXT3ymBZ;$8I
z1((952Dy@3*Jg%Pq1WbjJuN>^hrBr?Vl&TTQ5#b$1*eBqh7vrv)?`C4F!2}GLITRWkC)XAtK5zH_rgR!T7qX1Cm$dH(UkcI
zhEjIDu^i92={!YJT#JGWr(?g+NQt+i@vk_lUhWT_llgkC!Y!;KspIs=v8x+X`S6l+
zs?}n=F3Qdy$xPa>3fGRt
zMW9A?@tjQf6q~EoQ`+>~^-<^N#AiX&v-E5WQjy>jb?vXZ-yzgIu}#L`sG(QRxK($S
zCI5UK;E$FZDR_Yhm~Ur}#`!7GdUdq?aV`1!2>zd#AC@?uL%qq?yf*vE)%={cngDu#
z>!5i9&8lZxw!b_Tw*v2wKNq8i&T?OuZ4Ml+-$_kBOVWMzR)y2r-;-k|tWqTXhN!mX
zlPB*C4+mG#E`ECv$}Yj6mt?Gnzl)`wG&9yz^mX922>LZ<>A>>R5uz
z%sW~YeG+lbGKmj&X~rIpo?1+5U!lNm4lFCe&myCoqzn^}ex=_L)lw)-tDJs`^f4=b
zVylUl+A%uW#Ahb@P{k9m*Sv8yc=dD1cGp>AOo*^2Tgt(vp^*WVlVD8o){d@eUHSkb
zpu3;w$(*CTcCKbPNp9ccd*wUBS8yb|5d>+m96=SqksLpnH8hG%Yf&&=q%Z4=@~N`!
zd0vUv(f)@iy&zNU3e8sEtpGCXQ%~+0YKXU0;?n8(TDp-IjW2zfkESZ(h#Y}-q>&C(
zT{Hx2SNIDKD>)9%cyjD9bE*TzvbT8}ax
z(nuO;^n=#aGjD5L5w}X&Mwa%djJpA|q0m+OYZb%Omgbuk7>u2os>|=_vyMl{h39PnXqab3j02h9J3@=YrCS{1NpkTwr@I7~7N1gg
zBwQ>-Rm1prc}%t;w%OE)x*l)-=>(Gjs1tn#`Fb)oOj+3D2cPE%{O`8Tn&r&`rqG(i
zscw4EWZsS}elM+C{TOm$AnyS@pl7@4V+xdbO!~Zo-q77x-0+UbIJt49{2OaW<<3X)
zk_VmXs`>XQoxaoQQ7yVuh~d<4ms`xS2FBucUYq(kQrb8myb+PviXATHIEubgy2A=@
zMEXoKdY=M{K!0?*UT87L($-=U(IxyH%V6_NfFmtbJc#E7+3xRP#()4}i~XZz|{xP^o^Rz96MzP0Hrsg?ujch$+&0mQC?v^Bq=bg`cN|*iLqRc;hh4
zK;(?pN?Zx$U5R9BCyjC1ckMNaf=1rpZHepI2{LXCQpTa%^-Qg4mQO=t3aY_NSC&C5
z+<hm)A{yeb-xHke=defgSt(Xc}`_ob?ZglXLk#(o9?>KwimYBRdwY{JocPp
z78Ra;h`peN(XS~TI4#!d;$UP6l$FsgiK{0(kn$8vIhoYWHvSwSsY(uIlH-5K8bZ+-
zhJ~rhS@eV^D{Y8PP|Wt#Vnvyot;85WB{
zF5Dp{oSno)xu8XIr1P-@TSJkS{fwR;;F8s34uL)Zf2w>XpYu(fO?Yf&q9$xBInW
zs!T{?L0;Elh9#jGvy#Rtuls5yKluy-PxJ;u&?vfV&Sa`hV0_pv4i=#vhYa;M+w|S$zWWW%m|R8
z;hr(lrD)x7T{#vR}06>XVSO_ksa1Wd&QwqCF(i5w()Pnq!|yFb%1TmNh&UE#L0R#y1LDU0%-OfgQwHG~LWvV{HagOthsKfdB)>#k}+OAfkIE)zA
z$<@*ziLWYuS70Md+aTA&Jhqob(^;?d;a|Pf)opPiMc5Uod
z^(rd3OebT!UbJUU_Mqbx50GpR*1>yBVqd=!QZKG7
znA~=j(;cMTc*)}8?&f(jyp=bLBtj6yi8qmX=HPoH4XAbm3IZue!oEXCIN^2pwe*$m
zrFqAp?(N&PMFX>}da*+_va}A5ZoidfUrhmv=}dw1Y1*zmP7VD
z7B@JsrH7%@<9L(Wd*9Fu2$-s*&t!nkHm7&28@gvg*DH>92t}^EV4eV^D9CGjMWB}Q
zKP<8S9)61EwgSbbtBJU7lnM_YnFq*wNJEmFWq61J|5}Uy5Cakw`S9eO`byqhYBSf8
zJASPak`#s|_I0Bh00BsJ>^sOC$`_6>;N-Y<<;`&_Z;hpIe^pwwI#9hP(1AM}Y#M=4LQd!5i3jr+TeUOPo2x-!2i5dmgosqf~rtFs5IcSqY
zZ&wn;j&?^#D_PedF7BVJFw@d0)4Y@-Zp+Q?j|kGE1VQdM@;f)#9IWV?pV(yyt%`TN
z(RnSI@qVmZwe6!Uc{#&`6lRE2jK
znwgLs9>LH6EJSYL&Al{cIoFroO|DF?C5Bm54XmOwCFCh%ED066t2X1>Pkhc0xlx-%
zfFg(s7K2xL!R%FKdA=KIYHD(4Obq^jveL9u8a&h&>5E1eAZX43XiXGk4W#-$iN4t5
zFBv-Ze2}L4+7<$P49r5lJr2AY3BAq)cM27juH7uvr!IPuF*;tFi>zk9>GNxXAe%K=
zZe1TJgB-sar1lXyLEntiG}k6JBQBxtG+{L6x{k-+z3}&M#10e%Bq7HP`)o*C?J?qk
zlagd}u=WM5Y*R}H-&W(s<9
z)Hrby+9xx!PpW6@r70deJe6@2|AB^TbuM!{Uv;Q)dR}rE=~OnF;FoQABo$jA0^_GO
zEvL~e!AhE-i;L0$AzHinX?1VKf_vIXFn`|{NfYWvc7+DKac+=0S7YzUwTr9;Vf-vSX$|vK7z^HhNj=xlW*O`!4JW-8YC#q
zbGS=2~B7vC?g#
zg~v4qA$c&IL4fz^CHX|;lCZy4o2T?|%#Tbz(RdT_>5x1b^g&B9OXuYgX7sdCGb
zSx=(oWNy{BzzTh*){>+*W3CA5X$;D+Bm`Yb7-zO1O$-u|W^OVdf=afP?0DuNLTOn^
zTC#X$!B;x6havK?Ct$vbNYlJg(DbS`SV+>yb7F>o&_D;f{ULyi&abC58eM^ZeX7kA
z^sRsr84jBZCkI)I(GlP`OzvSEQ^y?nq6eW=DueV&S=ckTHR63f1J)rwk)r4P8j!c*
zoSEF|)azdF;C@K@fH9WKQuwQa#_a1ruKrUP+dXX@O`_WT*<}8)(#;)*l4|?DL?X|*
zt`TQL?j7Fn_f2Gn0^Pnxg!wzj8QwKG7-K<;3;-R%Iir#nk;T*?kY9p3RpnM!h#wB7
zsHi_tx@MBncF8R~E)-FRpfXf5I`*zs&HKCZ;??fh{ksA_AY19phNXuk(sh*8=U+2a
zqYB&R+9l5LZukmR_+5oEV%MwU_W`+C!k`4DL#TI$18E;jXU=uI_LU}gb*`WIeqjqUvHLI=5!
z-w)JUuL7UE2$H+)1LP}$`Vsr-Rv6Q#ZfHy8W*C+V=hutIy4A;OUQ(+4Ac9G9ky_Sq
z4z;&J*=L#Wn~4Dl+}j
z6r0zLEf4xgeV3SOpY(CxPVFrD3m)wBWSJxi2mtjmcRf3SXY_i##`nQbU`qmlsF5QP
zJGbZ*=4&X`&S7>(?lF-A32*`UZi0j072lo6^ipyA+rXo*?#gdl9o-?G^
z90*YI6h7yyl+_*_$ottd=*dFbM8#=+iks~
zb#em3CkH5HVybqYC#%0FYBK~PNOp=x1{Q*TW7n5FOCxF}xO_cM@7VX%xUTYXtxiL<
zJj6du72SK=5hxydOx=Q_lTPxfo0h`%qOy+fjeO2AQhhU)9
z3OrLDyhEMm3RtPMdN=xk%FA^x2p{0wZhrzuH^+&B_-Pj89S}VLocA=Vg|JpyieGAH
z@o`lx60|s9Z7SvPvaz%=uydsoG#^O~7C&F!ay8>dOYyYqKp0axDjYxcYD=cTU-u)L
zGP}H`@kG>3CoMv7Q_d*5B|y+ZO`({US3{i7%9)fIp-bpK*1-IU*u$G)yLQ+Z;KK#z
zZMPj^tPLlUZ-huwSRA(kw+SvOnq$*Xt1iU~8>y@+wxZHK1z?f4+^^OKQ*o}!Gv6_u
ziE^1Q-Kmh
z%pyti7-^UTQ`rj%cyJ@U+IhC7at-%6C^j!Gj;emp
zB8P-%S6fxv^5KU_J?i942E#*I*ZZ%_^EB`9OT0$>21jx>rAO#WMU}1Z(^7jqw1nfD
z6!GaRHcpG~6T4*-d&Ik*;$mKPR%e~P{jVvw$Rs`=o3Q`lG86TdmM#!~NF4w={Tp-`
zV#$Y9n#R~0_iY?1=s(e^x&AFWi`)qQBokxq)4}I$_~_TV*?EU;>dku*jWtc{hHVj%
zX@@Vs+7ja>9ph3F4N=%>fgpR%I4`7G@4iiog!9|2Q#U~d%2)_D;-GR*{zuA#v37Wc
zukH4EZP=@Sy#UHyrdokb&3FUr#9~j}Omb;Iq~d#>U2WEV_Gr96M%|G?DI}|W3U?Ye
zjhCp9o9B2YVryk;FV@#TM?op2l(vPkm?$op@Gz(+y+R4S1>?Kl9EaqCTYp)%0b;Q;
z{Mg83Qm5LfowH-_#p@yiWT+E9W>fBSK_0!b)o-dQoz}q(Ij?DHaF5EHDHnuv$wejxf59pAc
zi^+PQVd7joP75>Z4IEh_&Bxm6d$#vkwzvJ9Dn_87=n)5VjwU`bJ0oKYxGSf*dTxoQ
z#}nsUFR})nNvb?kPVS1c(d&-R#9K!I20ewg-|dxcRL^jg-jM!qtdlYPMLr{l&1XUL
zZq{S3Eda`crr8^xvx#Hs;K&y3c~>;xpu)|&mRLEibi24!ttxhPFl@DEgh^+
z{7M&>t|g+2QTs95qm)tPNrN{hsq;&~s@=N9uyQl}zO~Zm8yxR+R~Lno01MWKkAIo0
z8z(z{?`sSX+I#bC%CY;s7fHa8%{2B->P%4C40v|OHJGBM?osh`Wm^_Dkick=c?li9|!xJeY!W59MdZ=K&X{2|1gtI_uWiSYDX5
z*|mIS_u*xp$cZ39nlrN}pZ+N&XKdlUZb*GpeK~shZE$LN
zbwCTj>GnFw#<|`13c;;lcPN$kTzEpoRwb(&nfh+g#OkO(_lUbqk{6t}?3`fnGc-Z2
z*m?}?i_q7+bQK=MbS6tNL>E{%mEoJ@U>-CF?r*SkW32TGKKT{2UfSrhnK`-%v3JYg
zaHla-?NAMt=&am{qFS2{Y%1d_t;>E+6e&iB4dqs!=#Hp$hGe?X?-(*zkWa1zaAf#w
zeb)Dl1Jj*^pYON)4B}a6pF5b4{h@Uq
z=egbTf+d#&#`5g=YE86}cN8NpX6L6E<#*`p0PK~JqWYt1iW$}qgH}87CRBpXJ-T3u
zn|1#)OGa*9=SRN9qV{$9$WU54##@5ZVY1L7UgUN<1{36dqWWbbs+fxrxkp
zL_f~cy?e$|FTvCnNs|HUy%orZu{TxhJdv7VT0GfZCnFy{Wn-ALnE#+_4DXU1$PPIH
zL5Kn8uW#Ntyf=srobYC|X0cLOKOBG3uozuy(H65&VHac$dK!X1o~9B5@YI=^gM38<
zz#^ke_o$?vRkApzQA3mQSMxJ^g1wfD+pl0kGq~P~BfLDGSt)BpAUfBipVwul?E0gu
zs=9LzBYRHOI$eBDetqacjgy+?j@DrAXIZidsyj2${je&xOb5{^bknXe(r4uYS0Sd6
z2waQ~V)~@;!X3^rGsL6*UQ)TVvpBy>NpF1GAtOMBb4{VlUm`LZ1W*KGk7v5;Folve
zvHVn2COa>jIzSXIcDz6VOX-yx__~%R@@FmQ2f2q2(}ehwK2oeNmpQ&R$abSbI%})K
zKNRwG46_ZNv5_+nc$=0kAXZk0VMjgn*GyJR_|&bLRX(
zD%^QmT={VPkOGda(uYcK;Z*HvfmCh$rRrJ8%2Ah))
zv81%5rPS(2&4|D((u06oRWkhc*tU-*m?sBCBATy8!bsz^Tq69nuu`y^E7def0SyTM
zH=m+$hUjoyUMmup>(x`E#74OVp22U?g<+&)i1QN4HT3(N%Bea)<&bIu~K
z_o4F#HQEoIAl%dw7;7k+pUg~zTGGSM9lpbV=l(3@g|^NQh?Z0(VSh4PU1Q_?
z^MG#hBrQ~7*SDg;2?8wF@X18>;@OBZA`C$@?iI&ch)4WuuBLp?#_%^(6evHvt&i#?
z;J#Kwq>!}+3)W?%4QP9ZZX$Inu&aq3>+SRX>uP(R>qU*bl9y=oZm*J}Q@qNsOuQh>
z(!%}1Q8y%Ustb&8!9hsh5+-wAZNjjkylwp0c0Bul
z=`z1?zu)ErtQVMv7}BK>TXJkwmN#5Fly;`~Cunn(WXqi*o}i&g=Nw-l2q5+_*mx;s
zuP#|t?kTlz^Cr_VP3gzao_kVFuAd=O1{h^M+D^WPS1Hny?a!V758BDW(6WL))Rcl4?T7}f8CmgS;k%ZmrL0kc5ecBFqUgl3f|_*t#f)#$AE
zp42k0ucru15!gmO)-&Lro0~4ZCYKRv1>1KzgTw_P(NYj42ser_Ba9A7VT^FH@@v@O
zZ}bX>G^D3lv19dWw2!lx3xWHoMEFgNQ9qja@qKT>dq8e=aZbT%jyEzR)EgD4`q#@c
z7PsLe?-sJ?KpGep54!eBqps$O_>9F|j&Ip$v^b?xP-H2H_R79_1GKAhx)*aRxjAN8
zk6A-*_L~g?c`@j$$LqEq%%
zF+vL^2OjA)Wc7^Q?xB0U=(}KVEiJqU77gg6d49`WnyoK9M~3^n-sW4r2s*GKLXukF
z8h_mCS*xd*+ILM57bMxzPc+DZ-g8h8cfI=X0c@H`ao%i6rFMA1%YumKd^zbA`#bwp
zL5ly~dNrr28p!~r!<2_*-RjnRI~*Hphd7Vs3k%!#ihLK^uN(&=^frL
z5A^}BL3%w^0Onf=gN(qoKfX{u@otT)E-A})jsVI1kvCuqljQi#TZcKA5L&v|wAoya
zG@ojD$I^qBj&sCfkM0K_!GiyscT7+Rk$~}1Pckp}ueFTkc0dp*
z1z-Oex*s1c*tC@i=HDXAc7UIOXqLlxQUz=nQjC0g;gd9r`yq8FhDB-J+foK%Xs=U`
zbMvy4ldpTq8UjyAEb$xqITs>>US-UJR1?+}6N)_oTxeBRzsw@+3CQ&O{XPrR`gtnd
zWi@zSjl=(V%7c%ja(1NN{URQ*r(Mi~A7%dgd81(%jEB`)`*q8=*E5gV91RHkZwt-`?}heHjef6kv(dLW
za%p0D;Kkp2|D5ILT|#}y9c`l8ZwT1mv|bO)HJ>t^zI{cF06Z8`O(01}DR}c0ENe#<
zGM7l-wEE8nugjjZql%b6bNbbYTVo~k+ENB1blCOjvRo}2W${wqgdd%sVvKJ=oFT;`
zpWAeE^bfY1=^!>H+23v^stT->2Iu(iWRtYT;02)GOdyf7Wbq691lIH-Cg1Rq5G+6-_I2}-2&4;Sh&+tU%ayam8Ua8B@w7{uhH<#
zEv}ZT!MdT?M4WD4Iz-5-Jf&PO*Ru8ubB#ny^NNZ_r$5gtxmB@64s-4J$#2U=Lumnxe({Rmruu~p-EA8c-7BGw|537T2$UPR*rQTHf)jLu}fboMr%?{EU
z)s*M%a*u2K<@8G+5|Xg?ZQze3ADpj7C*+~cJ?qdWGT&=E%VPKqLj$q2?p|OYD1~54
z5kJ%+BCW~4B!(~G`GRBjg^pO}&2&%GQ3Rg>OYm9Wq7e_K?;lmZ4>rXllr6^|#3D3o
zZGUwp<5DXD!{i46-?VP8w3#Xfxmto$RFtMyrB$3>UQF7joX51%JGXE0W2!}#dxhy<
z@kBeX8TEuMu_%`~y?lT3cmqp45G5}+|90sJx@8<@Ve^|UA_l0q!pmv~QYW~8cAzDh
zj;XtoQuLTkWlDMKz2DZ~PGvs-bCEf&Lhx@gVbE}bE}U9Wg2a|`qfP}ytOJhad`
zU`P=Pw$!K`Bw&C#R$W3*vUK2r>QaN8fhl_X%W*IFaAfAep<`2FTGJ`v(=Pe(KLn>^
ztpREG{U_C&GrVum({MZA%8v-;ZhV>}fY&E+fI-L3x|B;?e~+i{9V>4z36E08M}42K
zx(>|hpF<%Ze`0>13W^QtZpvGCCTSxC*e|m`cZXRH-54~n06>HPsPpf@foi0YP)*Lo
zpmUkFg_knfd>7BRyK#EOTC5=jr?O`eJ)b7CIG5WrNG
zE+dkt25(J2Td!3>f?7jTcVf|(Q2?jf!?b%Zcfu^JYF1a6K8pW71a?|5jea}@k1;@B
zA1e}h|BxQ`4Df@viYOQDZI5omPnlQpqFK>bQ~6!34JQE1{MHm&OB7qWb69WC#W
z+xZalHG5+-P{V-Bw^E1VCpOx$Hc;>;oZY7BX7I^fzj??E2*k_Fn=F(dc<}T7!r*%#
zP}GWU@vzJ5dzTN`WL4&4$>=rbrC{?X`uy*Ir^yFMt;)%4PgU)G>F@8)g9wXEN=ZtR
zIi}Cj=-dPiJQ@%MQhpMQ&3VX|5udC^&eS=pj#ola073(@WL5()`Z3lJf;y+2S}|pe
z5LST~#=X^iV+X+mbV>F_KrbZ%N&-0wEG;cf47|_C
zdu%I_aPNq+6b*i{esInGX6BN(nkANQiMQGB;oWqBK_MIrnuxkG5T+7@c%2@0_$_#jIkaU
z0nRxYlXq?QQ4DSvNkgGw4i}>%szI*UL5m@;r<}0GfkRLorwy
zZExC0{MfDdZ^96L#Q;rtn}d)o)n(qKgT*y3&z%O781cG`E$g$!_+;oQ|KaphMr2Uh
z-RN;F!KscbcqyYD$*=1DjM^9p@;qKL;OC%$tU>ZXl6%suyUa!TE1;RN$Wi5;$I@jX
z{3#aWm;J2BWDp>@LU50DbSdn*)3<1a7mKpnD`E>U^)NFxcaLRVjUHbmmz0z&bSS$G
zveufzN@?rk{T+=>(>BwD&DNg}YIU;Wffkt;yLqUjj}N?7FuKR3Bl2CH(+osc+2ZIr
zA|fKBCfJ03qQX43L%UH+LBUQ#=EIK%;-GHUY}G
zzNPgrv79m-FKcza`pYwo|Ee=!5LusAdGm-O9_d%))?X~aUkn4zaemL9c3DBEqqHNu
zTCTB@e=9%wUv2&Pt!5n$cPjOoCUzv>IcYj8M;8@#MR#jGPqqJk35J5C-Hs$8%Yy&<
zN7!`9*G1QGucmW%r(o5}W5uL#!%(8r#TB?2-Cg?cv{k&BzKH3f`;vhJd}VCOo)qJc
z!VH?Wz>Qyp%|krZRgf#cN7~@W|7!T)+Y~`Rpr^KDfCy^-hx1ndh?V5c{j2QH-t}2yc)d
z0YwO-a$66)k$qK_#IDP767ab(aIS-ZSjd;OW_y&wt=avBsd(q2-8W9tKEFQYRBm|A
zyu=+qea&$+6ZFptcBFxiWp~Oxho0O~;qcQnI|7mb9!9ZTYLy#*d(nl|SOcRpjW(*+
zAw$cbm_|h8bt_T}&@#Ho2TZd@Se`?-8qwD=0U%uV>zfvV_^DVY<-YnnEz1E7fZ+T1
zfJ(0w{rlOH?L;LGP|ZAzhJ%!>^w01Y2b0fhlAD+Fdwos^+HjQUNMyt)Q6V_lq-CAKR)
z%~?tBS=8{H|00K7JvhQ?nQgeEAq?m5zm3)AxSnxbJp$QQ+8
zfMwksc2Ih`&VK_f=PLcrkztJ^xx%Hc%=)*$%VRTStM_IFHLSG;Je=hz7|rCl-CO<2
z(Xn{d<3eSP4C4wj>(v@P)0hCd1^TB-9rXMX$h2Hi$OjbE+|0L&aG^gwc_LIWh|`IBK41
zM-DW1m}Q+PN1@7~$Uy-8sj<#Tp#XRj0%G(QL>O6>Id1g%(*x+i=_$=L`$M!WGg)0{
zQ5~@CB`id$Q6fZ`d*fi>ZfOGt#0W!-LP)1;JY?bBd!o;URLUK6&Z1a&1Ufy6Z)1Wg
z1>KGoi6H`?|BLOqCV?PLTz^lBYyC0TApjJj9Dk58XJ^Qwib2P&+`HB+wG(}Z9M20n
zMTAk-9CxhK#fx+I$t_GN3#89#D%}Ixdb9w#yy5l0d$20uRltOO{T6R5Xue~;^l0&U
z7#x|1dOXmpuSSQr%zHmAe=zi(n=|dZGb4)^)zWyOnc@3=Nou@zKJP1l;U^2%`6d9##-h5WYN=u^!Zg)rrVrKdE7eQ
z4?3`%7Hz>%C?YoEx6WGdA>=jyUiNwdqA}+8GMdAYJ`1$)>V6+Y`YgFT9)*c66B;wb
zZjVf(w?uZY5cRq1%Z&y_&Z?z?CnInh7xl@xKgHbq!Ae2b>~6g@Ac`d9l9{n;L}%nx
z^?uA1Ff)knySoUIY7(>ymrt96+K>GJ`jKEOc_w#h-@X|dguYH=rC=e4;F@+1KI3?y
zp7pO60Dcnp=(lVO=L~D;DpamvgPvdVJrT
zqW_sp1J|#BLRWnha`4ljhRL(LiMlhFy6*2X=S?Qbk&LS0K{P)W9%(Y1{Njp0G-G}u
zZ?5Tg@XCzCo2}Au{Vmko9HZa`Y33xP{%vO^+XoFM9(la{(OgHRH$E&?NICwLzXCr;
zl8A=$E!)}kd(H~krQtk$^ZdtT{?U!6;M!8zsrJ=GlcOAkP_jwEJN27L>Wolq+52G<
z{ZkuzmRFrUV=@;3MlPy`2QHE-bP^J-2mPyGoVQm{X?UJXNLJ;~Mtg*faA{*taqjLN
z?|_gg_^%Uwx)m_NBoEVE#kKkEv*?B|F9QbGoL&2^tfn~0NWQpV_xHyO3VfLAP|UKd
zU9vqIu04^^r!m>hf3rDN>e|v)9RK#>ve5WiB5{Zgg}6}1>+(j{5(`{71ye&Eppo#J
z>$P`2zWh<&|OrDUx)-uWO(;pjG?b-)t(YD|`4
zW}}Dh6Y71eUT7=U8ojG^#PIN$PLtqdukJ}d)g$%3e~HY<7VP2W9AYFnTSZvyRu~X4@-G8
zgHkk5OuUvSZqBxy9Th@lf9*Kb@p-gepKKA#sYV{ru0D?Q8b0Kzx7*c`m5PWo(c#Uz
zOS-w``B5UldF+^#T$Rp)f*NzTG%w%dc_P}$%y%7?zdiS8cX=X~oXxAh^zO^BrRd1a
z5T60T_9zDeNNmB-uPm6OpZVo&v0~j^oXXXlAougA>9QF#nyO=2a_Gu#VX(SD{c`-#
z8q-y@LbpkTn?{z`c6p2UN|?aTf)z7{DtLH?CP(>?8<$9r!gzQ673`gIPN>d81ed5j
zAilinO
zfVKEknNxe5qlt%}y~*}|)M4c}tz<*?AD^go3M-NX43^5NthK6^JLr;D>UZNRq`Zno
z-SibcMO^Dr&Z#PNPZ?VzI4z$zH!NuKT^&a`VCCclMIN3>Sjmlfyt{@;N*EZ0u5#-P*4y=auR3@NfdU2`9}E
zDdWDllgx(L;GK}*V6BMd{D9Wj-Z+k}N!p{gv{Y17QG1*MDM
z6$QOUkh4g_hxa%VkwJpod=c(}Q_2dSFgO9sSpb~jraZ_Gz)860DGZzd4H*dhaDUp}
zNTY(Y3-8mb6O+v&tVt^SkPwT;a`(N}z3uQHr?A=@d+VXcu!h$Vkvt~ewaqoBo^y4H
z(_W!)2r$pe`{Ii2gaB)t%3k`)7coZ1wZ(_=tjiFP6$URKmN~0d=+TVthk#FLXcK^e
z6a2vVt$&76Gbo3r8_GCU|n)8w$
za-|JQ$4+*eJ}5IzilG*AvFTC0UEvG!tl4-Q*&Y-sG+&Nra!eXaZQgj(H8*#*KMs{P
ziMwwsvloB+D_Lm%EW)sLb=SG+y3bE=)FJc7;z#etbp5WYt-V?Qk!`!)53n&-&h|gOYI>jaUx=3Vz<;k
zd~yAn1VC|WGG`kwWCPbLpcaay23I>YNq`y}8ZNg>6n^EdHyq7Zw>JB8iJe4587-C$
z8+ey_eD8~|!NI}90Si0eJ-m&B&+C4mQ)sM2uiYGZFQvagi7<4K^5i~Ha{<}-Wq2CV
zU*+)(|I+Y*Riof+-`LgFA*%EmC>${Dl)o~n*=!okJ9}fb;c)vz!YqWC1r%LjJmK=*
zKxbyH$Yn?AHE<=Ewmt?SIR8(wj7|anHbxPAO$PwV6aMdNFgE7^j7L67tUHW~t7nuj
zE464x#<;EAcne-1UrfI#dno
zNJI=@jxf$u%zyes1@1t23EX)1xy#wb(;9jS$sfKFzZLqeTP5tz{_us%B}unD8ytAO
zK2vA>U$ngkRFir4E*f=|vGR=#k>-pEy(ma8K^?`=f*`#rCDNtW5Uh*^(9nbkh=kq*
zgb+HSU_x)921E#<2SQCC;k;p-Z|2OM``!Qj);X-jBD~@K)&1N1d7i!VVpP}dD+u&F
zy&u>D$In$fqpv2B|IK=-9Y`@zX05ht2?mkaELh2MqFj?{GR`jl`%+1S-;LXv5?s&i
zVmY~;C3`kyvh{)xJwZU`&Y6zdFYy)GZv22-wQfkbw~c5eo^Utd<>;uP~?EBw)9Qo3S}Exr784dd5&c
z(&!(SY`7r6UxmW5*z>VN3pzuVuO
zrwV8u_PpJE`I!YVqFgZUd12+(*cFT(CknI~0cKog#*6(BP*SP0r81pSM4jN%4MWoIa~3jyB!PKjIr@vzmfB8`Sj^
zmmUl~qERv)0Gvqg+l{Y;Be{zzLU!1-`jzr>JisaSOlp@i-|lZA39giCwckK*e{GOD
z%v#(?-axUdI#lmXkx+e`L;>!dglp8o>N>zhHavu}b7%eq(xlx4b!lfz$$A8)6!^vou)lrc-m0JVgqEons;eeeE9Bx9rSGEuE9KzWSwe8Wd
zU8X=oD6R+*m>@FH&5nJuWfU({TiNT~F*}|?8|E3?51Q8i0(`yAg|Ln(H%3$A7Sok`
z0KGj9-DVBBH<#)Vhc~(c#^Qekrln3ieF5nBPe&iTYv}v!R?hE?eOHCXVg?5kO{^-GDkWr;D5u02w|mTi8{e9Km=*3U!^#k1lUCLH
zl(k{DE}5|w>q9iB(N{bj^B9GdLEb!(glAw36r{W(rU2W-&L-5Y8^h4x_}o`KX}=MI>VRVTj5(;FeCoLvNAu@wC+C
zyJ*`Hc3DGuyt_8hD9Mu<8&MVV3#Zjin}W)N9PmCzr5=
zVr4$dZ~Tm)Ue``X)0X7+wRA}42;~#9NJnH?kpjtbN&$@fj+YRm-hRh9mz1Pf`7&Rq
zLapP3qat#njc@&%BggsA$CFNLu0&ZY7&H+VauV4SrY#RFW*>~-*KX5Q_qOM=i@n{Y@ORzvY47_QbyVb3?B!gDd1$vA
z#O=f$Vpc%FD5F%GH8|8p1o!B88`}z`Rt0ZH)!rX>W=)i7C=%LW$D}9l%b(Jr+xhB9
zYt>t`u4w+ag2%lhv2-C9MF}ph_%S6EDWhXVgg5xhJ0Fu;hjC>IQ|we{W+^ah&7!;1
zLvIajjbaY>=UWFal6Xd68V5KUp*vE1drNpo7PaOvj~{BuK%LjDbvyCc
zK#;)?_*#3dqOteuFNP0LC3hUOk$ROuK4@$4@F@ZLRk@tR1aQW%dWa>Xw8qlYT1`a>
z!59=t=7CuJk!3~eF
zCLstzC`4r+2o6ohsgL;nFtm^;7G&A;bCU1M?3Oq1T`o}j3q+0+GN%s~jO>k%oeS_q
zr3%$0x0D~7Euzi7NVZ5Rb*~O)C65gZ2FWSt)p!gCHnK6%!+nemEFVdlm0&@yi^0ae
z!SrUWzhGpg9mQlK(|X9V67m6xzw?u85~iTOUdz;JmPgxAJ4t)8v&ScBtUcw&@*4eu
zeS^%zGF1y!X@?4y#K`9U0<`+<T*HyvcFCCkbq$o{LGV+=xj2I``0TG6KOX$|y#+
zYf|ez(6B4z^!p_5k0(+(XIc}_kgFu}P-txL^7zy7i-aImR*gFCH^(iOs8&|~SR8)i
zN$qm*K)Dwx%ab}h4j6to$<=YsEi_M?D*aocs(Ko!AO1q4uEodSXSjU%YyHSXfdA;~
z4DX0Sii&%WK$Xf)O20Dl&iirZTGrT@)vgTU4CpIpY@O#6UNx9CIe67ar$h#e(v&0?}0LlN}=hw4%5uhi_}_U^9%94-t>8il#4bBQu?!F
z`fq|aR@(>mhe&Wx_tI)7ac_2}s#VWMMDh@e^kHa+6M-gE7W75&87StoL_mOJ>+CpW
z>TAtOGs?P3Vm_r8VJ*RGA5
zOfqcI@;nnZ;TPjI*WWT0w)SSZcu^+7VG3Ktpcj78`cQ)uyd
zku)TF@i}b|DCO)f{xMjm!FSkOOxrTzRGsn;UP4=J*e1}ftx~S`ee_ijNc{#dGD#K0
zXXmn5I5rbXA#?!K2`AL61GHdB404kV48MMz1MCXOM|1FU@)LiBZ&vS@o|{@%d>x1#
zA^V;N{&f1(e`I*OtW!dpZC~Jcz2{f@>o7l7k0cT@RSKT?I{SK#Q$kd5fDsS}DLs=XZ1;f1Znd^C5`
zAPNvXmR&dM*4AkrXPs4y=K9=RRQ7^8F~AhMjj1x5ZauugeVt#vRD-i1gs-LC6^nIJ
ztj{PnrEcuS)vfb95an}(>ABPVsB0WyB<Uc-S)gIwEV
z=cCo=mU>f(m%>miIZPCQ_XNMQ-F6P`cSM!b_me%8RbkpQVdKOVILo0Y5m=(P&cM4F
zmOj3QC`FiI3+o?vEOGO0VWMnV3L0GI-!IS4F|gnV9747>x*w|R?FYnHpq+$)y&Q|{
z^!|@a{)aI|-_J6(Stjj-eA$e3hGM{C_G2~lj|oQ=`40k(oaL~3Sq0>fj;lz2zkVTn
zW~b)g6o&(`KD+^7u{Mt6m+Tu4fw^qho{i!leD%v5%dY;~i$T8`{4aRoUv#%{^%-Ev
z?%c*%vV~!Wvk`?VJH0!D_rO3eci#Y$pCNf`qEq2$!6krH6z(jx}^{@*Ovdb26CYP}DY3eNED51rXID)RU%tF98k
zPFcgy7Sg)!K)^w_>n{CHM)Lu3)8y*02(F6(mkrls%%}ka=se7kFmex{9*LX0`rm62
z)h$`0IL6C;Xsl<;W~NLn^;EP%GG`N$oPbUA9-C?mlP{x1u^@lKWIur3!|pm
zV}6$0CFSEvoPnL-4D8uqo-k#?^FIX2zpy%X9yoraf?gbLcGH5&p_m@SJHEHHDTFL1R
z%`J+}_=g4az_BfD#Q=c>7oYbR@kV!Kg*x(|Wrz*XySURSRrFHWF;9Sf2hWY65bKxa
zaBTPv7k5-`2q5t8$XUT0AxJZ=Oqb5qSdmcD{l*%1|
zKStrlZ$J&T8DHb5sq_X;-<@HH&JE4(hdId$yyGEnEtxF>oOpPAM7UH}A%I*OH2fY)
zczX1D;w`~ZrIZN8C{NW;(kD24n#9Cs%7H)^l>g>NO837oG52kMW~(E16{eh>sUYxg
z|C5s}3z6^m?e~cHi6d%ZR4igb(B1C8^W8&${gu$Sjdp?nG4U9DcH`gS?{{_m`-b?O
zxC4P=-`6#(2Z-erZ;O`f-k85jf=1cly2h?KJ?_
zgb%tX869_6@mPMH6k)_;p<0em#PZDnqDgp`oJ6?AUE|X)`YdFUltQni
z-{!R1R2ICybK5*Y11N_m$cR@2E34(WYA;x+A;`UOt5=^VRJU8}>2f-=T(0yS`9>X-
zy%zOIyLFfyZ(E}Ln%`h$QkJlzo)kGc(sM9yP;U&m@}wrvyeiYETzAA~`u>v`pcBwh
z*M&oGgPNuJM3KpB8Syv~Wnn@X%-leSHLz5lIhPXfsf6XfikDpm7bkyL3;C91Tme2S~EU4JGzLO$rMj
zJdu%W0_DMhFvN9)+jYGlWAss2BGku%vAWo<3b1>qWtDlNLolpxHgCemlzXg8@q$_b
zs+vR<#w!yV9Mu$40#_qa%d(2*2yaqaw)BBKY4O8-%}6!EVe|-q#Ygc)K9^>8lMIL3
z&AqO;kTXPbfkm!&=xmp=%c#v1<|#CSsN
zJzEt&^1h{K-A^M4ERXkCTN03gx6cU^PQgl~$CSn&wQy~q0$1E&Q44&uI#Gh_`cj;F
z``4RS6R=J&bnUp?qVA>O4PnN^tC^!aC=KX#d|Qa>Rhiw~hCU%HseR9CRB@GpLkmub
zTpHuQG4Bii3}k^5Hb^5Zx$CHfq2aOBrO_lIP`Ffj4jKgd{eJ`?i<0*np!G0ws{X6Y
zqplql?)Td1@XX$REJjgeFk|oC(VJJHF-bu%!%A`~E)F_ewMP1!{?I2rHQBJvK*t72
zyq!R+n@#x~y?u*^?%*;57sL%w5@9ypwD^ZRVua+7wXHqDRsoHHO{h+y^mf8J=~J}F
z;_5;Heh=vGbqQQJgu;Bo?rQw>}m+
zQrNz8t3c4ky9rR-9M_i6?dQ34F(%qbeHi{1!ko6$n6k4S5mQ4XA1~xeG
z9WEDG?YU*-iF~(FCGV;Vfq75Q;Hy0m@E?Y4vPk#cSgk_>1?)kmKK189y!>a9Hs7`C
z)61-nv5mymNS1O*ljY#&fK(-|Pp^_+OQp6|ZFXWjf>+{^G3n+K9Z)|%bicG(0EG!I
z1%mA*Ph!Vns#x>FQtb}hoIKL@q+_&3i#lS>aRec*z;ofvwmL_X_(0)KyZnFc=@^Zq
z`$4%X->6)#YAzrw+flL3p<~9k3e~mX8>UFOZ-i1}@t{M?awI`|;w;F_SR+a`>?4Xe
z&$pW%PHG3Nuty76%D&hWDNB#^5$&I*NB_A*!n{txhjx?;j#`QsZXypUf5_o@FwGUt
zNt(R25>*{Ir4P?uTRV~7L8HGRkCeNsDP7puOiorr1|PshX6X<6HW#+nWvMH%TZPo0
z)b>cVEgEso``JDY`($o8rBtQ&!&B5R;lR&hu%u8sQ)*QhKyt(+HWmD^
z6sn@Q(W?^^9E$eH8b+?9)D;#S;CfPcLrUmPrQ>QIGC;^@Cs*=}4%#S+y|mg^wz5L5
z+)kFKnBtrYJ(DCA!#UvJKR<52fnGpGCXHLQY^%VzY-a(eHXx`ECmVR{?5uW~3OnLF
zCh)<51Vw6x`MN|#YzKJlgZ|Ed^TT~DLLozqWQ)^fow+BjM{E
zXZX*YC9_8&F>`YMOEKr;G-#(mfEACjZ3^j!^y6k_&$_X
zW?8>W^DC2!@AooC!RKM+V7x*OqSZ__WYmb9QszYFwH+AYRaMKVmJ;h1;ngeonULUG
zfan-dTKK}(FNI&;<@X|qCFG9vOtprP6C%FHV8of6H8eKN_1ji+OsEJ!1YP3W)a1-X
ze(ygMkwW}kW9ZKP?>Rl=(bKgaxkqf;L?QOR3n0g7=ZB6dG#(RD!oBZ1QCVQI`
zwS-(3cCjj`+z`kFaF2x4Q?&(Dl?Z>poR0t^qGWPc-_t>J@uXChY+*%!X6nJW|06v8
z9S!xU4ANH3p=+1OQWHFC+k;y&1N)wWKwl361qybGacBo^Mh>)o7Mb;!7YM7!-$9a^pXKQehvJ~S6eZfG~d70vM1OxM-12Yk3+cLn&P
z^XmduXzUKuS@so9x_^UBDy_57K9)mxh*}*-h1hTiH8imAO~O%r71mW4eW|IKdm9%`
zW+dn#hB7N|tAjvWzX2@3VmaZkR#JOso;0%M%hlng2tlQ_6bYHo!Fw@5!ZBCJWV@5k
z__Ibgl6A&py*tX6<+xwdUycEH$GrN^3pi}nn>mxPp-#_dZN)fD$RS=7sdzS+eP`gD
zOwLA|`n+-aR@=a(%CQ%EEDXK<9|&&&IYL{-77k?m$p5AVK-$Xc{k?0)qx*pq7{2f~
z`25f5_P-Goj-<1WO<)m-JW(5QIAPcfsl&=|{6Vz*??jHXv6aX~YZv5IbS&EMA0>hh
z`Qn(_!!cO@mW{tql6+v6`(Pd}|3yA|H~lWLv)U378COh&5aK<|t7aeU2g*iH0A_Nj
zjbl@nCS(@amEw$Q3W5
zsS-#?T_SiQ2PglRjQd*Q{<)aY{25O0>(u!pNBOTrme^i{5(jjHBJ1O9dNqf^26p@RQZ~%eyc9ZTg
zSB>U!EV;ey8@+&QZ$uzPxi9f2r=EFzbT5n!xA(Ha1|sI(^-~
z4@Uh0To#03mE@CkdB`jh%>&i@ux`T;qYv~jF97V6^Ef__1WD`zvhlu6W80s`MR-y|
zLaxGuQ{{HnwHgtUY8$pyN3RFH@yMwwr*CijaOAh}n#O+?NH}FZL5$&|6gdqNi-K;8qfw-|3yI6ilHp__gM0WQpAx~ZRrKr?I1(JzYtgY=M|pNx!lA0L0X1F-_ywe
zy#|`nY{4JAq^aY^p4~S{U(iY&ifCSW3dsA*sVcwbPz!BBnzm50K%O#OU3Qufho@-CILPDb3bWB3?W?fjgvA^}quCLm!ZafTX|luoUp
z>X}SM&p}t7E_=W?FFl7vSpyo%8lZ{%ezq>>nSj)hy|O?e1qm>!gh^a!S@vslG*4e|
z-6AcOQPVIe6to`GMknG?>h5#e8NsgFjC5?uO9vW
z`+S?KNi>l5ZJG7cv8lq<+TZ(nezyV^Z8+LHqmKbF7c9%SDGElXfVnbzShLmkGSIsS
zpWU+Bt?Q{?S7E0`f>=iKTLwXRCmdHqe0n9zk
z12IqasGiFQ2Iyl_c%!LQVN9pQjb_7fcuT%^`#Uuh3f619?rcui59K6itg|@j)TENK
zRWbP;nwSx
zimz57FyFl4NOl5u2Ja3nlHW~($#W}39!%qfLBJceG|CY8zUQ^qmQ5Ch!QbZ@mX;TUeSp~s>CzTI>9
zs6h@AmN~x&*TWUPss;pA*ax5e2E;X7C~78M6{VU03DPtCw|s!Au&80Td(O{S^I|e>
za9&MQV8RoYqEJEzz094~CuP(`{B-Copu;_?+e&I*#b)-pjk4FIjOGHbqkNUh;+eyF
z{VB@g3LU{6JPe~#ZdOK7RTRvxO{+^^%C
z7GP+?wW6glLOhz}86>w~Q~7DlvKKH7U0C3ra6^xv{RlfK*@WDn^RUQ1D5%JUA{vFyHGra>0i(=`A
zt%{V=Ux#eXe{B>2!(dd^;X0M&-XeF!J@~au%xJY^mQk#g{KX_(-mBC_lbV1A?xJeD
zhTPaxD`if7c#OHk;kW-UwFq!uc=CdfjIF98Yn^5d2#{jt$zTZOvns}Zv^YU1cCsEU
zMlK2F%G&NB8Nfpuqq~zu^IV80c7x6bOQ2zN^(J<}ss;jZR4l&LDH2rsZq1)F$JwLinwN?~|(k5mz2i=gYQB=66kzVhf3h{+xk
zc^T4xy(%uwbKv1y*8l9I9MP7>a-O4~jkMdgM2s6qjr$I8P1W9x
z@QJNfgt^Ra71`DWPS|(wLg%|=z(JQ_h{k$mbK5JhNV|F19pHl)=pllZ|M+nZj*fQ$
ze4j=#dMpvuTM|(Fb(&k~jhmDSU@11Fg-Kgs{Yw9~N=W}a=|kD})F->Huk~6Qe&1dt
zv<+JP&?l?3b-shWGhDT?Sx!{#m>3&-<<@*~&vETE{1@1d3rEt9^x8o*RqvN%eCWA7
zePr~Cn~~iicSKfC$e=z#WWhh8+oNc>rT#<4Q{C4WYf6XPTcyE|uly2m@=%7Uck%oM
z&2wpwHpP?2*gq34Misr1BoL{r;2DZfs9^GnsuoloowD+V`s+s97Ob!fa^&N^R?Ak;
z1?N#(H*+NTxZcqPQ`>U7jvxAi6XD6{F62rW*!eMb^oA0GWi~fZJkj*CqH7#DM&XnF
zQ$Bh^N`Xb+&Eb=-J2Ca4&%yXrJA~=nl=FfJutOkFwz%;iX!4Lz+JnQb3ypraS2fk*
zm!@m+4~e4(U2Aotug`JG#JE{JyewiQRp+~*sC^c_O+S~U|Ji=wwi-!L{6~}o<1CEp
zDz48mq;ODmG+4z*b*BnbD-4?oYi2j>XDyq3Y&*2ZXin6Sror<|>7e
zt+j2`!WJRZWPcF4__aQqK#RX*T2kP%H7lLG7{;ke0EN#Q#vRo}e^4*;Fg=5{2WsiD
zHRvZ`^>aa%$bNKFv2;h$v-ZVu6yJ~CG6{oRkYRCW1H&Th)(Fdb4e9s1JOHOFJJrs7
zUz)c@UJOfdI0);Q{1$ST(cWh`y62)z1yd+q)MhL&kTh;3$bPgr*68LKnOfFb8|mC`YE!h`PX8r>!-L*lxp$CL%@5%Gxb!`oPp$yh
zh+YTJw7H_*
z-=o%MV{0ftfgSJ_u6=pmzj9wNtOMi`M1kE)ptwf|&T-xY{&i;axz22T4|vO)1ML@k
z`wy(Rru)AEuN`~D^+a~mcJX!8DUsI5lwX3*nQv~5uJ%x(5ZG+zw<8xhH@{ZC1WFSp
z`?L%-c{dy6tS^$c#9%_Nz;aa{UGJ`q$@tu8eo+HFyd-8-7FK6l9k~3?yP1QizYbjH
z-bGYE_gecnEa!ip|HT9U;>^DjuHW%%V+#a!dmxA=Ra95h`t$Bi82AI-=057W7l+q4
z4|8geLf-}LS~&m8UlwEEkH(ORV6cn-L-6Co){Yhd4)+Ct;=&J{yA>yuT6s4bixLmu
zxK?0mk4x{?#{+ia{Z~8LeeJ`*YkA3QO7IriHX@4ufC7!~vh5-#hYyStY_(eu0@wiM&j$W~kN$bQD(LNNX~xo2
z-=X+7CU8!OQi=xj-j-AVTzgWf<^Ij6kse5L%6hFxGtZdXk
z&_GpCl_@_0!
z%#me&i4pQjGr2X}Q#%iC$R5~8P>#26+e3*`*A_X_==-l97!&L}<`0$EtFx`zBW}Nz
z_K|E(3T+n>bp_Dl|CO%{C(1EU{i~#S5%vvU7Eg?H%!m36t-XU#?hJ0EeRGWB`sqq`
z(=}XsWN(|gwX?1L>FS$w9dMtv%1hm{6hm0?w*iA0kY*8(p4Wb*tR
zr7nlrST_514YndIw*DIN@wv)|jof7$qmFblaVRy1dechI7FB4D4zxcr-5hiBu%nB<
ze_2@8o8ougKX6v;_VR#$5N}~{RCazts)JSwWIJ-4F
zg&7_OujvGrU3*Xv8HppsD(my_bJA(2-t0&>$oRt0{lw+SbP=uk_0^Z0wH$~%(E0oK
z>-GH6)AJ+#d-1h3nYSA&f^@7=ZfRWqGWfaO#((Q60E5E8gn6ceX^Wzkv~5{#`g+B~
zeRXlYUo$)WfQh{|8;(+R+m-+xm|--3^k%!+O?4-u_GmRZ{sJL2_Wdy{)O)kyuLFk9
zs-v3~!otpd3Eh6B-md{A(dCcwwI5X9Oav#crs6UzREa-{L>(=KaF$Rq&Jb1DH+9!G
zA1Kf;(PjcrgE^%gc`D;7_qn%MdV?ISJ?IAcdH#*llxXOvnrIIfm|%q}^&edD(LVe2
z$5JtqThjC&o8K8uB4zv5YnQ`*)afP_x(ddx{stzn=-!{7+Bdopg5H{mXRt@!J?~y*
z_l?YF#PLgLM;rh;s2J`;Pi962WYKS?-Wd0nM58m
zHXOyw`Jo-~LZ9Q#ia6o4i5XA5!!FGR@fT$7nY@-FRF0RA*QQEcVi*)$Nu&X1BLlHCa?1_5jQWTo60xC+Om%MyjoGUVaiom}9Q(SX^k5|wb>dUur)*ptRgMtZHU0;vCZ@R=;#U%Hj
zlLwzz(NQIxrdo4c(eO*$>1pRWCqMO^(EmWI9l{D){O4z{N}I}ulKoF3Mf8)dP-
zf!l{~M%UlECgb?TuYTE&tdg|bb$VAsqr54h)juz{1xj8#6Ah8g8PHTQs4(ijh90c~
zY+Oi#={uaJ{qz*&lvDr+1kU4qHWhLzL^vkpeg4O=1lW`#?<04G&(DbR!}RH_96v5F
z`2ur?Kn}L(-mxOTtmwB^1xp2a*fns0SyyxHf2ByEMyuLX2T}~m5se1Du7xjKC1mt(
zJ*QKR!0(ETr%G#FYs)MNUSkoJ)E#o~AQ(|dln1ro~TE%cQ-p7{PY
z=~U}0u+Py}Un_eL)M;P@#_mBM3i8$v9?T?g;*4<9(|R)^X2V0T_!EzwOFZ`65$Vvk
zTe%{f?qUYfD@K>qqjN+}+W}JIPPml^F_LO{zA`u4x_u;u44IK>b?=`w+u9#@T!Q!<
zu=$>
zF>Ygdpa}y(-awCRuMJoAlTDv`y<@h)-LT|Vq?KE0$tbSia1^r9hCq+EM@*~$>t7cTa6=wP7*c=jG4RtQoi&4+FSl0
zA={+QM-Ga>C;6lo=3T0A9BWFFQidA$uDsUG=t~u8XRt~cGo23;BLD2?5#AFGRuKu{^@9ex~ZV3t7x`aM(b8!KC6zf8h}4q
zr#wie)8fvE}})})@Y^Y@?ChOjScMkbRIqS8S;r)nJA7kjkXyb
z2y~51)R2Hl?+{5TQ?=*=N*~>xor=p#qKgUwPne`{+(5%pd1=yenmKe0LDxDMJz58i
zmxlY7v9f_#tzm#!Jzg{Fu-6vPV*4KMN!%vS26MrcSLcX;OZ_;#rn%qw8H7EGT|-Yg
z&FSY3?j#FAms9S`>nKPbd-w$huKU%{^Is$>@=#ATYIS9zMKSrEZl)!Age3)VyB&qN
zg(f})cHBs<;BwR@P8jL&SNw6!c}Ax${EFF!e~_QbZb8YV4}8qp7!XN!3Cs;un)vX#h)~azu9a
z-Wy72TPyTB#DC<$jUJM^sZiGgnWHE(H3;l-c1!vC2lkv9CF#yn)Ww-+Kkb|iG7V3A
z<+ybqv>_dii}Xqkxm~>1y!1SEqWIIT_EnAJIm~r7|Hj*kD*V>briCv>kZws=1Gr935+a)e_1@MT4i5-ly`wv5^3>U{@xBJn-5J&I=
zdexm^F}F3V|GHv1>r(M9@%lf44=+53Qw18*F7W!?WOm6Negpk+34mAf(ecXQTT0$e
znHBQ#ALGd`X}2
zh*3G9Db@*)8%OW;l3{rM;q-tTY+6df0I;hrTBk@_CXbB*pyh>Xe^FmHHC
zy1EQhj95|m+0oV<@H^(V;Jk>L#~0S?=Dq@NwE6}MAX3j?6BhR+iSbeU`e#b4j?@(D
zSRGI|?x(VkY3IhBeAMt2aK%-jKg0B%D^_>^Qf@sc=wtNLD@OA#U3hu4M^Z!Qg=>NX
zsnjez|M5;jgi64Cg;(~Qi+d;^smH?&eV)KX2H~V7nUM?E0z(RSj;c4?97>y
zqeBk45Hqt7yC}p*Qy8=Lw=8Mi+?=4hZRjXww^pQmmxX&&((o3TU@ereN*jc*agIlH
zmMIwh;u}lvuU}%no>>v>8th^=OvL2GpW~q4hrUSgaY>(`QU}YHGqOz%2#T=aK)g#(
zc#{wamsWNrxKL<2bej15&rgh%i
zm%F3#BMV)i-aoHyB|Plx+#}p)3eem*EjzG$V`}}?$Yj*y
zXnaajlVxhuB4${|S^xFHqPP#WXND7_|Ijve+Ho0tc(!2`mMo)DeOZq0Nb_S{~)97Jr7{Tza<4(OHLfu(5SX
z$>8?uAT>dq>PdBn%nr9X7xi~q7C*0%%xF8APa<3P4cb=Db$|*sfIwquj7mn9lAqmiVhGNc9_a@VIy
z+db~R_?ca3FxvqEJsv-P0VE134d8}r(_YVV_b=r5RbBe#{r-lT4`o`mus)V`+4w~8
zr=+vTJ&!$n+iWcq=Ua(Y_D-fur2;-E#8lDk&1$obQ9cX)t_#04(kH!w(^fI==7$x@
z_E+s)Y0otK7V+3BUO{EC?oB~ytkl>!Kst3;AE^@&ArOj!W9F|#L)%I35nt8GpS;?f~z-d
z+OoCSsPlDs2hv*}hfQjZKPFk8AKRIEuW>1V-haT1FqGNk^&80zQRGM9I2alud>Yg3+L_8Wh}Q%O{<(l&xdLdl^b`)3U6
zwBA%5&>@c27~9I!EXkFqPx8b9h3Kx(-uD(p(LVUAvD6`PU7@iuY6X
zzZU5bKHE#w{XBCu=49Th?ZV7~rt@dL4u>SSygYxx>oc+wcf+Rpvioyu&ucE-v`fy7
zXPzI*r9GJLtg;Rp{^42__sO8Z>ZVsEG{k;VpX1GMYBJSPK{+2a#>Dg6_gsJg08I1g
zCFx+w$Dc~MbvNP{ldTIvz>Z)77Me7DI17U^>^>~aqW&&xK(gUdIm^Gb$FEjd6(?*+
zkwccvI&4cF8t>py=M}fAb^5V-&u5KvT<8zyl5%d++wf9_<~6<)tgV8GBU2UDQ8@!=
z9@wtfE(cc`8j8ZEDj~DXG%S9Ksi`8MteiN+n*(%k@Znc}pA2tTSF2LD9-)(G4bz%S
z&Ya~N0{&^;i)ygC@O~<3qpwX!eW2K(z~k&j$^9Ik()mF_dg}l+J`%K2wR*EsavNE+^Jk*euK=m=Yy`)We!iUr&g*D{WUPMi*912R-
zNjxu2UMQ4^EzSTGo3KDWq~FTJ3%}`9LaU-xL;%?CFzJKK8f6E{_PGE&4#-Wdo6UqU
zb|^yJzP4))z*ThQ^nUxi>j`tZWyi+4+=XWgtcrfKAy{xdSbZ>GTW$eh@BEkcqJw&9
zS=lNL+oEcvxnnpL31m~KI$4dVI;1A!fH@&{UBKs)
z#_1)72@`NXpX<*6k?EJR%bU-}_x$9bnptqV=`{o
z-&S3%V)nFH0h!5QWVu&gkc;K>m0xO+4@G1(emqBq5g;@5nlEiG1|JC@`C18$A=w^}
zPF}Z%dEQ%z)?p^h(E4>&gN3&rwr{^3aB1KuN6>i2`*|R*EPvi$i3ny$O9kUJ_bQViK8G14G7;mJI_5j*qeO$?{*RJ`*o4C}Zm3VjN
z`NzSJ0cnYHUT1UXrCU186Mw^>uH^bEt+aMMOR4>*Ahfk2N`sy)~?nK9(!uJK64G0+|4Xo
z9w4S_*IxIa#jc{7EfOf=yh8T*Z>!J!`0+yP5jgzhux_8FN0<|kXk2`?WpU*4T`GY1
z2#V{|%gyql&RX^p1(96{ss^~<9Bmss`c5^$14YkW48Hr
z&kUMhjAui~v|0Ec-YNky0tkXGz85IDKSrpJ+bJfc1s-DSG~%^)gq1n@n~d*y^@`Gk
z#BHf!vfuhNg`)@F7!`(ju+yG$g+K4Z;E+y(E
z2+q%|Y(Kn%jqt~9n-Jw+?AI7SbJpnQmtx8I6IA|blfn(tuZfw7L;5x^3EO@i^g(xP
zDeh<+!2%&>SXi*Z?G@eT7}FQP*|=-vJ7-0ZCbo^%N%bkTL!_oy``9*=;2WY#d|J{{
zlYY{EQMzu(>BSu#v;(`z(9J7zR!R|BSeoY^aPwiDxBA>MMfQu`;2_9cYrN+AWb|cf
zVJs{EQ)T6ewHSTjD(O185?Yq7BE3V}BhB+LIrR)JVxY^c6q~N`;r_g}Z>xqpDfx}yX4@JU=FZb&F-dyN*ORzN
zXq%UX6`3gPXdQFGq^4B47;Cu~YJF}^ObeFy1&I*;DBsicG(Nze#xz&+w#k(7P@00s5>&;A2LmRe~?n4ks3G^Cy
zH&eMReYB-eEabTfKr}jYctZ(1HD?{GmOFTtv)k0^0TR4yNy3pF|3j*>g%<>PH=^{n
zrrP+}d-*Ju=6{{L807DE2KNz4J){)>xp$BpoRygR^B@jfbG@5K?Y;ZygDH{C$2$sb
zhS)d`#uxKd6+BW6feH+D3QWY6)@!6N{|TeafI`S>MDhLD?o*8h#_}pGtW+Qe{tN_UJmGH;)yPJh4|dOvU4?7Q=a~e9rUH<
zHfWCSR1V;V^xqM~;(1st{tDj`TBU<*aFBX$dSxnwL?`S83>0VEdI5uVo
zJb?3j0(s}w>=LhIkE?0HtY~&au~qA(@xXJBtJ~$0&+8ShyG}AcO+s{BGiM80-y)pu
z)F_k%Q+|_;D@lzrHRZwW$uV3B%@xkGr$1X}m^|aef<}lP5DNe${DkSZVKn=S;nGOw
zM@1NO^j50SlkuYrXKt3|=jaO}=?Hoj*A;GdV8}-0mXn*MvCPu8XN7en*WQKBU!f(Z
z;eG``BkAfx=bfXmLa@0pK2N0umN&9#a?HhLAaJbfg{3!}u6kBBajEY-`_wC8+Mq)r
zU%zw}i?u5d(RT!wQ?>;yr>S?v8G;8SBKr9pXbS!V%+9!)Rb4{|b^}`{gFbd;NVW?R
z$2TGWOTo(z$d4kA{QcR_@LH*(z%yHm0hpLbc(rz4OmXUIFRdit`uXyV_0LJv^7$>t
zqScL*x|8p7(pZOlb{1Djw&CU`p4Vib!IHji7IA}qGD!fN~YqLppYaeI=P03R7#2>X)eT|prN=BIzQ^1`RBbq-#@=|&pr3t
z`#bl1&;6Xwa_@gyq5)$4s64Ivdq0R_a~u|(U^PetasAA%Zg9%B{`i6GoUQwHV|bNp
zKFo|HjdnyD%~++V_VI4HY2l@JL1S&|#|I_d%=1NM=BcS@
zr63fEFd!fsGr$sz+-_QC6+&tQvHI)mxz}w{q~l$+A%`fC!0^xPg(2WG1nU>z>d7(=
z2Eekxip?>!f6WXE)LHkePD?&gNnQFug27kVrKtmz2#sgy-n-N}52I4}!)xt@{`aLm
z)1*;XvqQiU;(}Ybp`CpV577@b5t}k&szV_UWotd=y5-4=0iBhmP2ccZlQ^P=Z~@6t
z7sUnyjBhWkEPYD(zG32K65<^e%(~1cz8O@UIv7*}M-=55p9gt)R8+#`
z$};^8yFz+kFZP7(bF)lYAPCiF{61H1_exz+JkX2|c@~n3(om1l%&f
zq8gMSvT})lsgDHk-QI}sIeDd0!4rIfL&xc#e&1Ir5f5ZFre5TwZ#n7<2*eOl^xFi@
zzIFpYwohPdP^=#;Y&Bp!uRw$n{%9{csV({uYSv~d$~k7cI8IY|-t+Xwob&U8bQZLI
z3=K1n%Ck(N50AZzFDUG3n(AojmbaKkO2+WW(>6wWTsu(k$hx-9ts)Z(1e`o!oXnX;
zh+9qGztw&DPWnbVrq+QLk&;skL#WwI>f}#}RovPT{SA`i%ZNS^X|(Q|%jK)w9CTb_
z>sQE^$cV|R{Jm;vK-%8KiCb&edq90S0gAlsG;D{jbBnBWb|DVs*K)1&i4rj*Ic#j}
zgnn^bOTxH{*+3q6K(0};}tzH6p0)^IHoL0=)d^Z?0-WGozHB2
zEH1+99blIyYs5Cxlp=f-3$A;@Cl&^QcOBwY(zwKaQ)f53E$8X*euk1>?O=V#GTnT+%_}0fA?_l7(_BM{>SyQS?P
zZbq2QU9yY}+@EC4_82lGUfCnpveUragZ&yq_=;ZZH^6-YrhI+@t!=v94uuXb*m-n7
zY~(lOJ^g2M58xI@ZT;=0IGQ5=6_9)YgKq`0N~KkcdO<`#i^v)ZZMUK!{ifqVi7=qS
z!w|%ZTZ};rV0E56ToPkGR$WMRD2_bik}G|9xv;@zv(thm;1X8PY7R@b0bMj$oiVn5
zfk_4&6VCd)X;!~C=l0pSjPgx+I^9jTgRmb4^khs&QYr;*%5axW1|jP)@G-R+%ga-q
z5EfmMkudW}IQ>sAIv@_8jG6A9U*KxXB9g;vc&C-m>d3-DBe9k{N@@ZMJHyf
z=BLAUSd6s-CTF@pbYe$@HUA@Lt(EC@;Pleg_$yR6Z?0A~wUYz)e_BiCYiomTOEQb<
zM&I(2ocH_hqbNMYr%KWr<-RhvxnpbGPqVM)L}eE@hDR6UGZ*A~(4!Moqh7oRNrx^9h>X4f)%{Eqo6X=l5t92KNIx2|4=BqHYEmb#F;)!wmMH{L%1@^HPO
zz&YVq(mFHBPB?NxN9}GvQSWT
zUtOxcRh~%=USS%jA=cNAVNks-PnSuaJ=XfO!`CLynl~zbvQDn0PEPE_4;~U|3u9e?
zE-G8kR^}N)vfwA7uID(gg`#k>+*s9d`2I7F(3&9qxX5O~z_VCYzoc7tWPDVMC*Tew
z(;3ZTeIFdWYi%ggheT_hQ=GUEk7uKEW;f$Ydb>7Spv$M$&shiO&LUZ6se3q~^jQ@4
z2m#45{7!lXFSQAa!4yzg(r*vg8xG8wMd99Rmo%C3KjzLlkuCPCY#Lcc-^DVgh|!Wu
z+uDLtXzUG=>kD>qplL`@+WD7KyMg2Q=Z%$&!w+g~-DJMgdiBZq_HUONDwPka5>Omf
z{MY1ElhLFRd}-Q1G|LoQ-N7>IvDE*w?ho@4k4Ef~t!XjB#iP)T+~z~
z=Gb;vcz6d^r$%=PA^K9XW5QyO(pZlp`8EAtoeh}O8qs74A0In!Z4fj`2I0#yO+ofS
zz_U;mSzxCxj*!p)%FF$Ctn16*zrWj@(lswg20@)qc>mq`e{Jw38=H#9d!JS_LN9A3
NhPs?_CZGH@?Js+kB$)sJ

literal 40590
zcmc$`cTiJNv^R>Pq9URqiXxyAK$>)r5~2b^=)D(_E=_t3v7$(m(7Q-)LAs$uRC<$8
zLI^Ue(9u(RtrYp=c5Z~YEo+M3D?=Wm{;p`l@bswnEx
z(42ZnLqkh*_6$&Bj=psP_&D=SO<5861g=AcdN}ZL?uCkp7Yz;Dd+N`L==m)>8k*ZQ
zP{l|3{%Na|uwZk$bP8pEu^Z$R_){ZmqN*cDklFZ>B7O3;Q)b^;_01odokrYk|G0|$
zwz5(|*sUe4Bl*|&>v16_7IsE%DLJ3t4Ov{)G0OT_rJ;Jd`ODL+9#HAiS9gD>g2Wc_
zM9x_6E26QR();Rj0gUqa1xl}OGH?LER8x;2Wl`|_jr(l*;Z4yjY8K+=wj-4fN1(1>^X!w
zM$>D0^*sAWzHKW;AB&pe2M*%Qs1}^5X6)$=zk$=->7Zp{==mQnnp@ZT{T5^bzm!=A
zd=qqal;+%-5rw+P@5n&2a@s(XLrfs7T-|I@;uCpapRb@AN2h{KT5dD$5h;kLIdv_od%=LU9%Yn(lJZ)I}Ubv`ZDEjeCBo5b!1
z54T-}7A3~TEn^q<27dqGko49hE?bx;-*h)4wPHEivd#Cy#jaOnT!pTjPrk29IXr`K
z_Zg+-c6QPd2a8NeCJa~KKTq4JmiNtE4aAljf|Ewc*pUm=Sii)mw1uuE@__Jd!ZriL@-DLHh_$opDlWNWB|TF)Da6^b=DCDUMkuMslMQJK#%
zE^0#%ukW_VjIX+#X*03&CMBcEAiMfh?2pavy>)($E}kiGfgn(iiaWUg+<&z0VwX5vn#y(t+;`C>6&I>u(L=dq^`fm@
zl?%;pGON<|uEWs@66k)n?2qx)G51OsclhFzhqw665Tor}=@fdd`U-IWU;+xi
zN*LEtF`1)7T$_Ke7ytc7t;=e|c1(XSFU}_wYncCmqK)B2MM(`L;$)rW!3lHSh55+h
zjNRvbk?RCS_7$IcW$m%jQSD7Gpd47cL&>5;
z*TS@+8_avsf?E7(lT=&?Qg
zhVcQn);nb^_e#+ilg1+f9j0A<|EhYl!gf@ILebSzth3=`7g_fUHGS840$C;t$d?s`
z>Ua7JlowmBNc8V1>iuQ{MaSV*Rz8GA-r`-85a9BXZ5AB)Ojb6kn_R`*E|Grzxli$K
zb1-T;B_N`HtQWjKEWH)r>SKM$O`8JV_kg
z7o4l`j?MlC$SmeC0F*s-dvv;h(*ModCdA2mf2SVr%8zeo9p(tnkK3nDytZd(N_$eq?IQ26_gbj^Bx~UPD&?P6TC3C@kUPN
zhRUCx7vKFMS_FcaOHG>QljGs-#XVOnewMS$ay~6PR0qM}zPlM}8{@vPz7K1Iwd7Lu
zOpX!XWmfJMuJnbxG70bDV3#>%nKL{brTW$7vc_KD=>}E&ea#;F&@{`_$S3kEs+U!7DC?ff*UWV|-8G0i*c)T121bN#|1=H
zVUR(6YH9n3kFH$J62`o(%1@GFL19b}<`$9IP!XRN7(g?udK@ZiL2B%tAhV;A_EtY}
z2)ao!!+)(-KQ~M8+s=QB{c7GF@9$&S!!-)*#W*?p>1pUq_0S~m$eaNXc(8wT$6<7F
zT%>GejZ}H3Uhbg1-Oh`ixj`DM_={0KXm`Cpxo`MWzw};wKYO3)*w=-~pX|_;3=0xQ
z3B_HyJ`ymm$KD^H;F~gO-af19bb7b#8H`TN1Ks|2zxvU(D|O7Oa$;vXcfGuq6=*0Z
z1gSbpzy842c$>%W(RO4u4;!G3(aYRwHDgx30ZV(W6*gD
z7s!7$A*3FnAz$1aP~9Xk_W;W!jnjCSd26_rCmcl>&ic<)WwD%`Pcioy;ehwp7Q5Li
zaL1C?@_HAn=B67^-J%qwpe;m%nf2wI
zJij3dDDySDBW$4tbtP5Ch$K^HC}1-$#d}~;QubNe_OA6xCSEWV0rN4Q)fnx}Q(kR=
z*kIKF%Y!G#fuOI*Au4L?*g06q`L*bIgSSMb5h(`>;}aq7YIo}G
z<{8qR0zS68YEsu(%r3tFMK#t>JMW%&TVW1iMH90@=l9LfKK1iq3+?;NIMiC6EPZmOo!+9D7T;|D1L%gpQ*XUT
zBoAE{Ea}JkbjAEwiP|vZ^^}l+7hPJthHk{y8A>|f^Lpr`M>0ahs}rgAxfCA
z6|4E>YKS_lU3WEGa2}kS9Au6C9D)6+ubvF4@WS8rSLzHN>&k35^-t0cXuy)n!hG+>q;Uc+q`()P}X1|I;U9~Ewi`=c`Pe|
znQK$v6sUq|e!@%&9mSkf2)aM(lLO!VhUH#-{lfT`n+XpKN36okKO-GO^W&S+oAw7h
z4{G#6*S<-yJF^{NH~wS~iq?vSMCXMjh_S^Mw^ZWXA$M*lHa$c7sc;)vqmz3iDnHZa
zu_S^mMlR=~Lvt5}7R*G?z81b97V@ieo4xT0l$Y5)_)3;;K-sWk9uHnn);|K*(JcaL
z67r1L89VhUIb9A^$Q<~GpMs*8+P^vX`GeAeYBtZy^Bd7E1}nsO^IOTb=WRRWY;JCY
z8M^W8f(e-le~zc@6GQWO6y<&N)q)m(IC2b@TqW{2c7`Zd!=wo)t^D6yn&C!Z&}1)@~zt**}ATxdPs9HN}S=J3L*CF5S_-jzB0v(|GO(urUUAHlw_
zZYl!z%l%Ny#Ww93I}sFriND$o@pf!b4Pb~#PwnG9V8Qk$WA9_~8#xoYjE7VaMTFNs
z>0Q<2cRVtLnVU>suyN@-?T7z9I_wrV=p;r7*prSGn_J58gu-a@kJ9AvN0>z|MOjkU
zx$*5+u8G6dJci5_sv5&XKB{-d+aqqN?$K81V=tkSaXI~J46?1E>`a=hha#dJl4xxf
z|B~M|;w~3cY>lg(FZjg$(nnj_ir9*7KWzT-%&_-(ah}x0ResO7S>b9bDI&PbV3O5p
zN6FZT*-~?GIF%&Uqo!)_F4V3_Q7uv=8}2+z{aoOsX(-iQg*VMEdK>Ohlfb1DO~?W
z(5!Y5FnW(MV6H-g>D#VPc$A28ulp>oyL7d4FpuI>vx1I3K1OJ4)yZCSYA+Bc{;@DM
zL3EVo{y@K(Z?IC2J3a1P10C~w5pC7vztuCFk|WKu4+NnvJ0eeA>U3*N;ISaUZ`5DJ
zMX-IV8d-aboa$ctV3vWm`j(92pm)OUzsJ5+c)oe0ym4WqEW_dbS|IMjY2~N(9Q;*{
zTla<}6xrnhVN*(ah0zx$ZA>^k>fFb7!Jb6lR%CWUw|kJzk!N`Z)5h&AO?;bR<9SP07~lR$*;rtZ
z>+sffcjKV=&>joX6hSlO+Q29HIc(v(TSCz2^=~U&P&#F{BnhF6AbbIykj7k3(uWqG
zcXe-2^LHP|w8?LW1nMR2$<8Rbkj>#4il%;Wo2Q7ETv&fv8mqFBhb#FA&
zb~P|pa)~(Q*cRF5kA9QeU=^n?PJoL_X%MivKF$lw#ewUzfJu(Me(tvVd8&`$CT17)
zBq?E~vTfGKS+lP;swLbV`4L;&=n5^d`*rzJ`FfE9s8R0g+IF9SlVitWfqp~N{2Na+
z*ECD$3)jvOQ_qz`ToHZgkDM}F7el4&0dyL!JoVW6Y0ou39_J0!HCLG9`M}K~xBtzo
z5_#6Q^=LdwWp}g>#2}wBi)lM{Db`q^D@&%kUu_}XBh~lnf(U+|yK9x#OI*LIZ2tb;
zxR;OfGxvEq$NACm)^sysT1YhqMx5_U_Eu;`773qa2Uj-D?`Cr}${1fU^ZH}5>)h96
z`1&}Mo@)`^OcIy$k(|5|T?*FPUf4m}Ts?(0zv5ia?@hr@scdg4`vosClDy)+31$#C
zs$X4{<~901<)6H@eNcp&mFTh!-=N^J|6KR^N>Q!gsNq2x
z^Gh%@
ze7tHZu1C#u?#K6Clf-9v!i$dg{^=SMplf#**3O|l0lD2sB-=kN>oQ7mQqo{CkQ?SM
zG|){Yc(FncKj;ldl{7k!V`s~m?k9R{1{(dEm)bQnniSXeE65-_US!|fTwMY4Tdjh(
zdETXISb1)Y0l_VL>FJd`-ju35#S&$Y>d;Pq^&c9E-rkbavJFwY^+ru~py6%#M3|J#
ze*MIn1<_{mW3d5oNU-bHRa=6+^5Q^dWSiyz{_$VIs4#SB`|>%hcT%RHgZP{q_bK~8
z^uF+Jrn)-;q$f&n8;$p;JJ9fb$(WeJF<@GwXNixt0im^;Y0uiA_T1ILPEGG4E;ClpJ#8YtFqRo)Gm?n4kDUYE_)d-TDX(P$i~~o4aj-%%JvqwCVk8msIux<8F_AWz-{cN3gc<(
z=L4ZgwsCxE=0C#}v;WeK=KCB5lCRZA|3+3l({00rjJCUQ4lvK(K`oq5fluK2Z=fpY
ziBrc#+J97N{-Lq@5B>-2H5`C|X<7jAkF1UHOl%s6aU_2~c<$xw;uw^VlE3Q|mcu#V
z9$XAOM7gFqp2S=R=P8!J-}j-9SniLEz~*~B+w@&p)>!pMvj)m^0&@u&f|es!!ns{j
zLA)3GTsE4v%fp`2)6nQ&yYlcMd$0NLKwVI78y7EgzZ0Xodq~BENMnK#)X>gtmTcK(
zZBsvD^+ko)!d
z-Em-*@nPtllK}Z7CD^foN)a
zp*8%}rI&Z)zV0(LNRFlw7gpCsfB>b*v-MQOb<$0s!h0D&TA}3wT!}gFCAm`Ab-zq(
z(X>3IHvXO!Y4Dxq!mJpPV$&Bded+UuB`nb5L6ykKvo-*bXW`2CVAD;kULTo@h)Udf
zof^WsJf*^S)Vnzp_r%n-usqA|(e3(Hi;egy?QOQTFavm8z{FpalvY_$N=Vpy-@@*`
z1n;*wno^S+S(7!WVka-8@pU0{KYwwbnOm_IOKxf)hz{lg)WQ?~`|fa^lk$KT7yeIM
zE7fb#Ekp{dE1lVUXZ_q+ZaAe=z#)%PSy*}K#aRRCJs_ge4d894N0%&lu76hl6
znwq9!!aCrpNIYkj{$=BuuR?YVtb}{&;MHc!ho`zd%M~@&HfwIOnqD(zF&Ctt<{rgy
z?W(SP8i(@~7h&B3?B_Wus%3}eMgB@({bS0|YEWyRq5K-+gFO%36$RU6mC9aPCaz@5
zA_JYOj6Zty;3ddSI>?Q7|FItBEK*?ie!<pzJ_C2_Cj1X#`<-|J$-AbigZqe0o-lBgk!Ns(JRN>GT{@5OI||TO^!2F}2Em#Cm+3
zsfV6U5#^rrzjk(*j+s5<2X%)LlX?|Z~
z;j6poo2BLe1`0k(3ULs>|n_K8dH-tC#<0K`$Ns9fANqx(g-m
z^@e8Pu1Qs~m)#yIh+zUDy!8itv}#OMC#|^RS0{4*PG)~R1oL+}T%@7-)M_R0skSvV
z;j|~Q^Lq`dDO)&L!Sz##tCsj_K&{2kI!7T+FLv$pnERk`m54p)@B{!e1IO6uwJ>{U
zE%ClY0!MQUQE>UM5X##QBVH@1V>Cp?kl)yrCSOw{KdfubRa?0pd2ro7aoq#UrD{TY
zSh5zD_ZdJOOKxBIi(roqP|t4iVukcpRw?b`U(A_83gIH8?^Qo!>(EsV
zMEO0#^LGzj6hw@2(vo8<)EG42y`UMlil&=RtWNjB2v&Nw2%BcI^ca^7ePZdRSYo=k
zVYhFTN`C?OUmXOHcml+MBx$jlMB0_@;|OsPA-c$a9F^+aV!Pp9e|WFTiZQJ8CE0if
zFATH9;N1fE$?TcZzu_RWJG|%U8NG-0|7-`yRwD8#}NBIXmyMJ@>8xI2f
znR3_5a^<87{r3x=h4gjqB?Ey(jtJeQ?M2_&8MS?_8oyG)cC%C&#zI$hGEfIYy9~+J
zUo6{La+#8U5u7Ld;RqJkk^u%k^8B+IU^Kk(`vhPU46Rsz&61f@i#ntv?38wUn$;p#
zhnmq1jIDf7oFC2r%7$67+Zy?jsn(?L#u2{*`Dw%O`u2sNgEP4P-csYO)MffNK6Qf9
z4}^Xhj8!PX5Fx0?xL(a)fgHEAPCBZjE`JAO8~Cjc7-_XWr5u4%>r&__Tp^8Di_FmR
zM~GJAadawx#;(jYrPxC$3B_yXu)9|8EQ_rJnZwe)IT7dIFr6+-M2sP=GGLFpQuScV
z=ibs%Y@m=%xv$1pIjfcx)_FqI)#AzE`JuA+9r+N=-vO(5eSgokUVf{kX>*C+@bxHc
zElhpE%7AhfAvSsRdhb^ek?x|o(7UlLcz>3v^tZzmfktH
zvidaoIUg%Iom0hbRO++2$Dt%{L-hRz#BK
zy`L-u<*rxeZm_nHqSVR0;gcNnvW&5lFN7b7>dzE5>+s)qU0RY$y4|s}xtEs@YD|+~
z8tmRzg-3%Ozw~MFO@WJ&rYk)|7Jy@xmgU6ThKApMzb0OV@tYI2jg97ST#6x!;ZiFy
z;Q;>ej|&j=JlaS`+R4o-yv@`d^V@d*yE87jjn0T8MH=i`mD6~0VPe)TeL#;HmYHk;
zS{C0eGriVvPjoYoK(+Uplw$J8RbKMSQ^G{E_0@&i`R5g2kCw98@*3Jsd8;S=wypE_
zR(%G0<%@=Ek!@q^F-Ot!GL3Ng@FC8qiyfmps=ow}bb3!NM7LKD5{P||n0`BWC4Xqr
z!ECgH9R0-K?X^A2c&`TO*t66S54MJnOsBslhrO*7_Nyj$=2Xth*teT;t(PTpA5G{t
z1nKLb9qf*}0Wa>1@X50QBJ@#g{%q&oU@z7RRW;onNnUF#nz{o)77tP$e6Nat3@t+p
zmLYFQ4~Ftr{_M5@IiG1Wi`^hGVhVv{$oLa7|9Otg-9C;p>iwuAj{T9u=O4oU~<7ni4>p5oPdgQZ2xRpg87QKth45l
zqvGl(gRf#Z!eQ*zq6nV={G^!ug$2-K`iwq<=nkS0j~DAUg`m5SRcC^^>29s-v>au`
zr{w{^zs3(cr6yZbeBYdW8
zNr1sqp)=p>cl
zDzyQ~%~t8%Q&Y<1_`rWxaL^HUr%LQh221cN%3)8-JJ?RAN{7NmTeb8eGm)RvU!x7{ayMLR#~
z7K#*Uz
ztCb@Inm!Imb?&ky7x=2V7G)?G5}gZ~aqI@&K`(OQz;=B4oGQ@yCRgl!(kgOiAvtol
zRNBb`Nk){Bj6g*l3;;dADD^0j(*W`G;BB8xz1SJ
zl(REe>qgkW^492gHDAIr3w$thv3nd&R=3-?%jtid?bB12wy*hbm+4(IxdXM|tLEAj
zT;%&bz0cMNA5Rd(?m^wQl$;$*$~3(g%ciD_aYV{Vi*Jsg19d)Tx%{#km
z(SEqx2iIviFmvU*a`Li+_3uje+lJw%`clWGKuSG3^X6MQOeWE42-MW&Ghm^d*`>%f
z)1XB0s*tRaEj8Vs#d+N1&YKc1G41nG-xG{=(x%ki=!`qZWK6@|rzne!pZIZa`1#hm?B+;JB7ocfG$U%wJ!RVnv+
z{=Q7kyj(X43A7;daIPW|`pg&2u9@>`9w82O41%Wkm#1#M%Q*WZ#jhP^6(y>49arMC
z_l9Z4KGw66AHW^U1fkkafJ5<&w^yRi$b;|%)x_E2Qk#~y9S~Q8PO$U<>}MmL5rKNn
zb4y)$c+WTpTjc)4IVc)|dkzKo0}VO)6!==(0wL~n$7vhb5&yt~;((SVkf%;dZq(Ba
z&v9L@*@Ldcd6%WiGu27tMNRqr+?BS-G
zS^}wcM%C}nYpPJx$V{D_=Om{Na><8@0FmQ**K7Rzo-0(S7~T}a(c$Cc+1n&W;E?7m
z1wxOZ7-JvUr4=8<^b&^irkoV~`y5A^u5f;K<#Lp6n`DBsfk4Z*g+sn4)Az7`IZ0~?
z1Nx9?-94->|1h{{1kgM(^~n2QuZz-#>onRZAV8hALvHN2A07e`HAKi=F}Ck7%I_9i
zBsWFz{QZO@eQ5P^ZOCYbqkM5%`Ekd5%2g95KEFmK&lw=*+_+RE>soAF!H7A`LX;w2
znrV7rB;8=z*YIhf2I4e=5uUoiO`XhV$Jd^8G*?aHbNFJlR!()EFAYDnuphQ@`}oUK
z+`G}XpLJc!Ae+jUM|DVMH6kl9`;fuixk}8+*M^vX17ALO`}2jn+e~NjXFN+o3UCz`
z^O0w%?X^4nk51jAH4=u+_}p9Lbr7HyzU%~cUqr{hK(zA}sRZQO;p=?ZL
zyO(NfKWTx(uTPsZHwfbgzw0fk?AfC-?~Iy5bvkO)$l6QIV?7pVQb0{xHjwVId*T|o
z7BeP#C1sc;x_a-T5Dw!fbESvlo;~rF9s8m0`dq2hdOAZ(@ef?BFeCpfm_VgU_hGegqSDez?8_%HB
z94^Gg*g@Xqd~WB_xRIKewk4`KW~zbLHGrlKP<&H(D7n
z;bW<6gn#psUb58`4RE~z#EJfc*&8g&I)&aRmxdZ%`w@MEj0T7wM?;!=Ex*>>i9hc*
zr{@chRGe;{`}``tXFWNipxztqvN(yLY;D>+-^X^FqJ!p(bv^o=f3d9ig{Ung+DqG7
z@qLj3H#8o0cne@tc6MEM>xn*W7R41!LeQ?AhdU2Th;Y=7RCZe5HKn^7&!~D1t!PB6
zGb--4)ot`~0u-@ufNtiq?or#@k$tREw?u(t9gW)~gY6(h(SWR_Z>3sxb>n*~jf+a>
zI&FO^aajZ^2CBENx~WlPaZKRK<2zj$3q+^2RASPvftZZj0Xf~%T+7McTbxCRMyZQ{
zdknb4KyYmq^mkdMb^SeYpMe-FLdZ8>TXg=p$1g+oS6FXghV_*o8~Y+`9Jz7h&wy!0
z$eeR@szpk~@U4ChXNm|T`0$SrH=)72?ja@!C$7>)}2z4l7{YkFrKZ5ty
zU+wEon(;0F@lO6pC@Nm>UJO3gD(z;@r|o7oFdWLBU=oPW1#+r&g7x>|A^xbH50RNF
zGVV{UYLvfkdr(tY4ozc~CddIU-sA}>n=YjDeq&9JncQ$f2Bk%IjH&pqjg$N8+G1IG
z)2^u4GbeO@-`jEe
z$RHG}8p^>Qyhd&tjRks^(Fb|%K1~C#+S}Bz)qOxOwLdg-3nB=jy!L&*=z
zZ(h_ZY>xkOcY%kwc&ZRXe#p{cvv+MxEWXv-QpkO^>26!WO|Mv)Gc|};rk)1&74I3{
zM#?#_ev>4vybFGU&*6cG$g_0>WM8GyMP4eL>H5woM5VPV&@GY!{BgtaWhT#H54?yO
zsR_}R^=7lLYX;&6>$_c0b3AG?PZT(GZmAoFZZn-fAA+gPtSvRGF&|HaZ-qS&n!cO7
z$ah&)=z_Sm-lS}2k(2y`lnz8n!eK8pnhq#8YRi#|{@7+p$IeI}N;0|`sA;fFu}?Rq
z!o@TfC8%!u*m8feYAy)6K-QOU^Z%?lugseb>W%CT}|F!7@S6UHRIs7LaohIu>
zt$*Wx`1e{@R6}(5<{Luyq`@N@j`o_=WIqiH=aq-;T~uSw3Y;L&BE)JpH5Yu-RsN<}
zkTP;fL^tv&z#m591MHeRLkA4Z;}&jddk7s^zXF7wU|Qo;y87v}~R
zsh!er+As^x^-OH2qA%R7cW3|`jUK#~jf&r?aoH&QUH3s;xVemUR1N)@rTb`ZJNRz5
zf4UbrG0X{l#JAC~TC)@WdF61Kzw7vo0vdH|;DMk&klMbh#ZHG%^T;fPBfw#OFTN9X
zv~OX0`T2|2*WJw<4i<_43bSNMK(;wN)gexHz$ZhXw08{6^OaOl^bLQ0jh|L%vfAFs
zV%#a4t>Q86uG-4D{0o48`y-42aKiw`(nUZNK&nUs62GGuh%ZPHCUhf0Yr+$NL~neK
zUEuApZ=ZJ=!bV;(bON?86O|J*!1`XvPmAKw;MTKDdoG;W^t!b3dit)~v(jP(#*i5I
zi2LBUkQ-rA0u64rYjmrpjidOvF=O~D&h_|mG
z!z|7yUUp~M`7cURLl@%AOly&nmbH66YR?3*JkP*=b%#>fuM84-U8r+T@=l^Xds>*W
zdhhSUKYA;f4;EDXC{1)=K)b80CM)7{$Ube1?WAH+qWSl8p()tBjVN)`(G`H`=9-tWW%lRdwT0
z4BTLzFQksom|kaq_#wrW5t7=0OuQOpIAwk=;9x3J_I^;ssXtUt?0XylLYy9_dLG@#
zDX}t0$5Tjx_d|?jN66ATc5P$JM#@*py(=HN*PCbdM!3WaFQigqK*D1i5J+5XhplaI
z-mjvdyUiCkN|7POKcjvPECO@lu2<8|_XII~oF>m{2P{_0OvE`7uwx{N_o+Lt$T60I
zPe_Z^*jxr~qVnk)Z$0b){a8KnXd^53HPt`(AFtReY73vA*88qKKmSvh&&kTdVzSP&
zEq3__nviMi*pKJxn2(0Mm_0P>WE-%p_FC+Xoq!dBl*byu&j+$<0gbJXno320eNn0wQ->9Cq%MdjMutn8X6ev
zJ_5R(#$vH>^n{4Di|^XlZXQrM5vW{2KA4T3)>-&;@rD3x^lKCm+v5_NlaAmvIC-yX
z#x@paiReDEhk{;K2v^ps)R`c33kUN-F*GS(CP?A-zRv>jd!DVY%f0podR8T&=U>ls
zAyjBIbk@l?#AK}yh>p2vE}-)3?vjuhStolOs1yhWSl&B#yTpUIVmr8~l^+=x7>J2B
z#j+lE`$IT5GZ|)xm>`i5zHw4t6zI;~){i5)H_Rv_H1GKVpbT)Sa|_Ti9^d^hDb@dL
z=JmemI?c;xb(^7?O(HvkK8UNQ2+h%Ge{wA#<>SuhpPW3)+#={AJes-VzN7?5;kfv{
z9Q%oX+EMT#g66Rjba!R(k$7-8NU7+H#e5X?C(m!~fAbrRsFuMeSGusyz-itbfQE
zb3(IR)KIg>LC{mt+b7Z6e8~CKQ+8eh(6d&f+vzeC17<|~
zcbt}z+k8ef8NplVI-4#{X>-KRdsyL_rdT~JP~q!~y>4`bu!bp=GWH~>FxJSprV!ged)6MkS?}?tk;(x7TmiITO~>m
zi=7>k1zrT8e*RNU-KQ4;12C0beO;-jYJ9#eQTE!g0J-V^JB5PpMfcQNISHjXzd|>~0%zfqj}8
z7(rcZ0RIEHVwIF4X-sve_fY>_nZs>koMS|_#SOrJq=xDS-6O~KXgYJhJfT7H-Yx9R
zZ8ydV>nS4nyizy&@~B~L940f>J0^$IB2fGjtWpTIpCDL|oJ?H%mg|GFfB&ejGC+K*
zYflkx(h~kp<<*s#B~Ci7ya;a_BWLFB6hN^mDLhVfP>1@XJb(|j@z=-MN=lW>AmFI5
z;MB2aOT)r?<4?FPIfb*5yDCcDoT9usi?`zX8$9t+QRhIj5Ux6#9w_I
zEnxZ0ZHgMr-7&H_ey1eTuQwXVk#x$qjY$g!=J
zl9XE2l{j%u#L6M%NwK@>5dWW3@Bc|R58&!>8P3M=V}$lwWs0#E;BX+YX%vM49qn#W
z1Aapc&G9%7TMCzyzu#Oel~&auzC{5n36>7o?l-Bp`l5{{HGVx#b|&X~%pB#WiTkV60l)f~d-+q-G?-8Hlr_Ehh>FAD0Zr&hxfC~z2iGg?*G*1c#&9GXfm
zx2rI02Ek{e3O~!-XLPnRTz_%=u#&Fw`JVdy_nn|f_^HW-J!vRCsOOUlDitnvS@!Fn
z9UC+I2=BC9qbprC=SL8SrCo!#KGYF6bP<}uwJh8rBwp*Tm_6VpdEXKCQ>6_FxcE>9
zHN<0ZlHi`QpZP8##|YGMGI~*_56HNV19TL&En^(nzht*|i;!Rj5N|EG5AP(C&T<+6
zAYV-pChkD*yE{3ga8@
znyD&Ze0=;oeU?+lSg;r~0ncr{!*drqdAz^?{9bntTEOTQH%SvS;aP2Uk(qdQ2&wVSL3`0
zHN;qbErrhvHAXwc3ZxnU>{Y6A@zmO|5Zx5MsVFB`nZ^W!z*qX69snhx&a*dCxmMRB
z8A`3hus-&6S@6*S{9_z-qjDF|Eb$p+$^_5_@4JrkZ~PJYs_PlRk~C?&{@|0@k)T(?
zP*0{u4agN{+gA(6k8p(OMLn2Ui}$QD(_~Jj@jM(h-*}Jg{S5y&mkluMLF3QOlTYp^
z5u%rGIqmelq>@)}M(1W)UohZdQ>S@1a94<~gM8|f*~(@bLrTow`q|Dm>htoHc385&#Ng-=%Cqg(!?x=_;S
zD8km>ulxTwI=|fII3X6$+kZdr>t?@j^GwR$!|4{-lFS@^W`FS;kqF`1zOQez;z4?w
z>QifWXR`^U?>O6}n;tD<$0C2>SkQjzQ8p5{1t752}ii&cvaYL_}2FY(RT!$W}y~6h2Mvy!n9QUcc#V2~g
z7BdRGS}X^4t_aKr{-3}#yqRZM8EW`5b!2};;=C_d&EaCy9LkK=$`v%K9>hd
zrg`F=Ygrd_!FZe-G&NR-ysjI5F0MMh4m~_PELc@zQ8RYZvIbILTwgGR2z%DtWm=6i
zKs=pCXxI2Z8ob68d+v+5;z^XceN!JfChUpI?YD37Jsm_+U}PGel(8X}DfY%(Uarq8
z^vog{riIl=O~^`b)5~*f+`Th9ST_rO#~lby%vU`0f7j&{PD>(&V@2oi$E=n`)Riv{F^7@
zf#mO$m6ir#z`;tgn9`d}`7}2NN+s3}+@F|aQFy~o+5bJkjNWO;FL~f*ZMeU2!H=-Y
zpYiQ!@5gD?mEJEaQBLU|^)o;`^!*MpSL*~WYH)`XlJAQasop~eIKFs*@=ByvZNflY
zSGl5n?YqZf?5wPW9a_TGcr#U3x@1VRLaaB<4`;e0eVk1ie0S0!gKj!ZwwJn_2=DW@
zC8l5#O(EWWBRU*6Z{Et7u&Cqi$kWVsZ}#C-+uxi+5-J9_E5g<~5}Nxj*gfdz^p1@?
za(sr-fYI(MIlF=VaM`G~H((x|$z1oYI_r*Ab65_&e>tv2^`sPSgm(P*V9(RbuE)hqTO@^+j6k_gIJ~98Xz6rAXbN-
z6p8v}xq6w|BMBj1E}*ldd#`9{9NQPP;6jtc8Y#9}ZLua_+rx(gcl`acv$Nqks)w^6
z-rR``ys?v@lo6qxC9|EN`
zg89c0sH61hOVmnTyf3MxrbzU$@98SGS@l!5txltD#J$djsWuWm`-)L=mz4S9*Y^l3
zOBv!3DB$V9L8unY_9u}eSc7+R@96s<8f}_>KDAynA$d~N!wtci(t8r%?>f&oiKRw;
zMNj$;L7I;GQV9#d^pz8Jdo$%GH+kHNEv*&bn^jLJ77uFf^X4W63{5_EB8AXNP_)${$$FK{B;V7LL+&jyvRJa|21mI{nSL(}-74#!KI%RY}0yu7E8O=l58pqM&-g$3y
zm#4&|5@Wm7D?ElvOe#}*e>R~=d*fC{&W+;G=cRDrpgotC=10$G
zTO+5{x2r(O63z)|BuCB@Wo0-jZhIL}jiaG+JZYOm4TopbE)(Cjia-t^XsJ){>S(1h
zYt%1!7B)7RFYkO_#{j>5Ps(m_l#39o@O@v!*&{&$Z*RW)In6kUK_s)`T
zr$uZ&wl_rrw|JA`mpm&Q8!243lYN+FQI5R%;&ih}__kQp7b6tui=j^l2+H3EizWd!ABd%L8-3K8-iqbl`CfM+5KbHcCOjZDIg`<%r!>3;g
zG$JpeJPB*%1*_nzvvORES81f-hzXuP>Re)IZNL62@QcU#Z%_YclbkuTT-CzInVd_g
zCC)!gfK;EwIradarh&A(#P(@>n8v~Ff_y4I-Xjl90AWp)*d1I7}u5q@d|L3PG1qxiLdfRxO
znvu~#3;K8$qj7a*f5rg2B*ddP1jv>nxFsTwb;thG*7*ZuggC+hit@$;DQ0q&6M6@z
z*(zY=iy1U)6wXEAv*O8-pi!RxY5S7>m=It%>Kg*qyz0oJ~y+IcesNWiwtknhv
zqL9|X?Yf3{5?$cef48D^NOV>82qCK&GMQ<|(>uCb$6!+*r2OMD(;!2>gEc8~xEt%x
zy}Gx=SnX!x8s2(HDC!jW2=0+&NYr#mc04IZOtHEHfOkndDv(~yu2ht3}IvtUQx<@p(
zPB~^~)d8o{spePk-4BuGFTPGc+>wyH`MF=mjyYGx;JX})6TmQ(d~6g$``
zBsP^x1rT4`@gP<_(ovIz`Yq|{9VmztPC6RAh;IAW8SW1o7Qa!|qA$1E_sGzOUqe<3
z0rgVnj?%U7xyIX0+!uD!fs&c0jrqC^|LICRHFL)@Stv>zW@rF@2;4Dyu;gT@wry;VKyU`mutj3tIZFd-Feqlr0JFm5{c6hfa($MW?ffWK5>6I-Gddu
zHQ?>9@0Qp#E$~9MeIuLN4KeiV*uk<>O=0^YcX9{J
z@P%z_s>~KzN5s#BPBLQ{c+fTp6~+^WM?dzBis8T&kyQ8oe~k;x>qV|SGN}PW-6T1m
zQ`H$slP~j1rK|l(8GB8&L!Fb27N`n$r8}iCOGO09ftXXA{!u#xMW3n9&ZlPj`YfFB
zo>^&$0o8CF`Eo?-l*(Ad*fejj4R{1koSp|?4qdYB@TrNZbPSq0VbS{3dhTib>yr7b
zYOnV~39aQ3Z;oqiU#Jp@5*#RJ45iuO4NW?XCj|D9NXFrpa
zxk6H!%7-dTI=_B|nM#NY9NAte8)m)e5`elbj(c8a)Mldr^BDj1p^qJHos9+%P&YYx
z#CI-QEWC%^ST=fc{UCJOMfaGJT>d70xP9))>m-#^Tz$pq-xsZz-0bgk2xrfkVblt~
zn%%G(@3TIOK0v3trNGdN^lhgp&y-839;
zTXblePCqJo1@$B$E6}r6pw-kLilXP2`SYr7<4uypNL>}
zP+Tok#_QppZXGRyg?*jVvlfBe*p-9)7%TB|m;}^Jl`m=q6)$X)+8t<~Ka@
z*{piH8B)147T6~Sp|`R!xACZM7><-H5jl&;q`#27dQB+>TxlEE=u3;Cj5I{}2ASL+
zt^%eD)e}{)U6v-L#8I}kPJ~9vlIpXj3hePf_mJj}iR#>O`fyfhdSgIKwMLwZSk0nT
zmBml|wDlPOHQ(yPbBvY+0xZJNjY7Kg{U~JQODad0WDDe6(
z_zbi(gSvL{g6kZc3e%{Q2G)Hx7^cUG8jW@7Lgm`F&;gO9I{j{d)re<=1sJx8~&(0?ELubX;Zwh9lz&%74
zM>>s$)E34#rUo)G?e!$;3=@%X@I!FWEf<&@m=a%&%?qnN7FP4+X?lI^8;K!7npKKCsQdQ%vE`lWx}1!172->3*-t_Fy($
zu1B3RL|LznHHa+LcKa(AOiCvdE)9=1x2(=Ms9$v-(+XjrJsRo5hH=U?_G!hJ6d@?$
z0xEHG5xTO+95kr;Nyh|1yGrl3
z6>?ME3r{Rs%f#2G^JImNY<5Z3PNZ-;_F|ht6`}WCkiquk;uP_960|ncn^w<4I%w?K
zTe>+eHA}OF>ezU{^CZ{t^!0Uf-gdoL
z1Vdu7j20st-4~IoU7vhmGqQq-;rYnnkNTpEZK(jUH#P#^LomfeJE<=vfPr^V258Xboyh3t1cRQf2ygs;%6`8|NajxB1zUH~StAqoke8A=`l3k9nS?ki#?Y<>*=Vy_xcW
z(X84MBK%Pe&SUWd#ZindA6N@Osa#QYRwiWBn^vXfKOMYh^PJm%1QNWZ6ls6h#n&SeyU$9ewWk=-BO%fAyG
zgX3^;?eOj4)i|TYfdWTO3D>MZcUoo(zFX64PUOUcH8b248LK4%+N1
zIIiiknuT!60#*G)%IGolY!7ul9?e5s3`(FE*_-Rr-P{?bX+~Qv@@r8b^2npz&7g&_Q10;ARJcZxZN;Zl-l0O
zS^LZ(t4Vg${|s#mTKec(`jSj;P3w5qs20@ihYb8!)tC)M8ISpP&g+tg1A}_e!D|sN
z9glDiBc^}HcB;9!_g>?<(FCxqo`qf274*sv=3^1eYt;h~0>&6kpHj)9FGzD;?j!8X
z7#~B*Bm`i(^G*1>eGj_3+w&74fD^E3TCZ?r*oo%dN4iee-2=oy(1o|$Xnc<3mS??W3%5WOrGLdLe{*>M-DLj8
ziG}RZETKGAVP{Jk?J+=Dqw*e&v+wEKpYHL6facvYgaAC>sKPW|)xebo!tC@oNcTUX
zB)H>JQaxi{KukT~JpLP7dVwd?QxBV78wl%Kr}t^?xJQH%9V8r{Pnag$y~c6$uyu
z2D?aBeWFQ8n5(iQgfvDPsW!f{
zR9I(?r1mi=qsG{ig%7Hqz4I-dF%-BUmror{8V<6+B3rVR|DY?l`8qjMT)NR68)htp
z7$mC_7++P%<$j7}tv267bO!%l$&A|su~KcBOo}elM4z=`CMZ)|{FOEUtb_@ZlGn#r
zO33RQ>G?{D{lS`WO>iLkPEmo=0tqT#QpU;pMr(uhi}Z9$OXotVTDQB&+;ah1HHS$`JXsD9ETaFn~WP7J1xE=XS#x
zpw~$ITVH$rt406Ob5x$ENrxO>FnXb}9_qSs%tac9Sgxyc^JgfmlSM@O0Kd**)E7eS
z&bDogc+pe_fr6_;?cVx*)a8&^SkaKppG;AZ^csVVYCsNm`l#+_x=ogP3EagSc&YE;
zd1VZG&b$)}7=a%f7NXK6DR0{aG>m5q03mP$=RqtjEL2Xqi=VzzG8!H>Kag37=TZg3
zH4P_kZHvru{CAnTL>G5qh)~PlBRTbZ+Ay3;9nJ3IE(L)tXWe5TP`D0A#5*n_macA|
zppnqy1y&RQs&{hkcYcx4heKaM89Onr*cYQEF3ZrU+V)DZ{8xdkbld&aHahn@!
zGh*|>N~1z?0eg6O{+Xw&+zEu5+$_qrGDT`(bQS+vh%uRDQgy)
zA8hVZl<}POsDgWisuCYcQ;IN+3dbcgqE{MkOZ#k6d&ESah0U6Ij5W^2LbC0{U(c0%
zU52}#e>Zz$xp=~&ZDC1{=K2d%3OZNn!@tmexUkcn{?wZ?WGzM+cqDS~s?~^2<6>FV
z^gcN|0L$=HeQxr_r=0%h;y0LYhu2%RUj#aZSk>JelIH(}#YrjokP1$bjy}T|CaP$q
z@f)x8mnYU2rdL1^2;($u`LG*{A1XQo3O8?9FSh!l!p}e@mBh3VWM`eQ8{S;Q>N}&H3YYQnw5c02YAesKqKho`CP7P
zpNk7mbywP{BW2Z%u9US)G55Kx9vPeyI?Lx`7YJvx9@Up|6<3qR%43@S@j9*gmzK(U8U%ghm`A2%v`VZXPz
zB-$KR#F%?mUws@)-5YDLnEh-W4fWQ8IiWx7EzH_@ExEYF428H(KWH@FsRO5UeKKXs
z5@(Vqr!j?Dr?Qw_;b?fyEpj8bEulk&P%}#u=2mob{o26;F*Wp-{rd
z8j>qqPrDnwFVg;uAAaBw!pju+g(jmF#QslOg=+!Yii)cB`6S_}v?;lbLbRmz`U?nw
z1sGHC`R4m5doznN5jAF$W=A*AjqIvQ9=(bH8$>JFzA1t=gx%9_MPEr|Jb?S#qZ&>|
zPIrn#z}%-Lp`<{ErpnEs{&p2Pk)vsqly#|f|LVypzPN@jFStmYb7u6zaZJ8W$Oq4q
z+yqSyc~O^*@E`RF`Xd(rwItlN#DCVf$fgdx!9KP={@w5_&Tyyd0k4P~nhs4QT^lJ;
z4f?u(o_dgG=@Xt$XWXXtzsR#yp}$<$s?Tf<67F*tBL1XNt?4+kGTgls?ggUxmA~mr=1nE#BViiaoj-PVo4l|ZYhF*g35XjVAzdSRoDG1|@^y4{|sza$2N
z(wmpjnUk$yBAaKV)~C}Ik|&cP`cXTgS{*s>CF?t1S$kE&Z$1@g#tyvr9?f_;oRLT)E{J#}=XVl~*!cdVBNAFaAA
zG#sMoJU7r>;KA|zGApKazp+yd+*E0T&G5V^U$ZV5;
z^BZqUIpJZc753&(3Ti4$#}jPH?n_Uob#hz2kUbmgz}8S1Vb66#gwj}_LvWS$$$f>A
zq`=zIRVoLu2$DL&o!vvm6BivhJwbS=j%C87324RgJANagxrWYYiS)R&X~b>aX~ysc
zXI?iT&kY(#BQDHc0eW*-C%XK2F+3K|FW{`LYUG~mSiMUvhFd<4@AC@7`
zU8@VpV-=aq6*U*^f!xg%YKbk3^`a9NF?IQq_4B$N><_s(U2bn7tn0pCxF0_lUPlxX
zGbmXys5nEQLIxr03#571&hf!1tN$P?V&rgsG8@8M7ryBJ>E>8^ea`B;ybQFp&f`8G
zg9uJEWZa0-op&m`(RuEt!7>Ln8}YAa+gU5|x`AP;V@#RR==6EHIHG~7zfJL2YPQ@W
z-JO9LLm>`CO6C%2&y0tzlvacCB@`C7U?0(dFf$t&I?au{I#nSkL4
z`J8Qw=-CLSUBaNzysMq-Kp@|)YXDsc2#mU>Od?PID~9Cx-CpnwH=b>s9~;zUtv{AJ
zd1es{KI8Fv%B2|^5Gy4`ves)HaLB;lBQ*a;GjM_Jb!P2_%oT5kUbWC6u?EV!%2=)N
zPfsB@W@9;){T@HiR7NsbNDta%m|6ts85yC*IiH$3ywv%b(|emVnU4hG(%G*;5{M0r
zg=BoT8SjBhP}`&NhPYx9@GbcPUQaS-z5fzp=sFu99YLdpxtBmulA;5gyK=UaU*qo|
zFOQ2wylq~|#7D&KENfzAc5CQMK~awT*SC#cF4lKd-X0!k{ZD{=S>#CMH{f-S7ic|JK!Ixik$4KAD!|Vn5TMf^W
zDUBkoQ%G*|(tim{8~rUT4L7aJOe{$#oY-=ABSp7ZHV1g~xFmY)D->70!}Z+$jGq2S
zJ^3$b_&9Fsy>&`}L}&E~%G$5pyUYuG>a+Y@ye~lLP1sCG5DU9%DJd&wQ$a@sD$dD51a&uEWSB
zr&}&!HFU(^ws7|?Y@GQMJYOtY6Cc0Qk}W>f_-DFZ_eoB0_fsEkf&~^5VESj6AKVEt
zVy~f!1bMW5dgPmC#z@r$5FiNZa((3Bi4v8jeN;FIL
z5MVna{@}^}*^~iIzybwo5l
zfa6OUHQ>>95P}v04uuWZ#b7ENjf=CcOE+E3ydF0N#!+OZb@lhf$!p?5&!FRtvDfq%
zCJI;G)jsK@ZsRU*cP>bTwmp9+$ZZS{
znd#0Z_@}J$+)_D04}`zZ#J;jbA)=2P`+gmdVNHlj_DyCOwKVevaBbt&>nCRVulDWW
zhHZ2UY`|`mL<-ovnS!`66E--WOf*uPdLSqaP#_l7wwV5r>I!Aw2%1^Jxqr
zS+>OX6!vYB-w5caF1{Yz+)U8+^+a(pAk~Qu9KS8kX!&YM*0!n}1J1gIP4(q{Fmu!d
zs)d~w5PZByMFiDoUuQ-6zU@3d`)Kk`0=|oWr%?lX%{lt-gdS(Ea>K&I!MloeU@!Z
zhGb4oW`{Q|zQ4v4lq
zTjjsY5>xh!AU;1J*K`BV=jz<)We1AuFg*rhF5-=mK;6Z3js1J8rmU38vmu=AJFQ<%E
zVrjuI!d{D&MHpeHu_pdby;fIh#w((lZ_dt0m*hz&{#FDrt#
z;_n$2`UT`OU>C^i^Mlz4eRp~=DldJN8dy*FkIK#9J`<$lBBPSyf+tnjs-($4wL=*rpNVx!gOHHvu8a`<
z0q+kw!W8sD@Zm<22MApM16MII{NHjF
zn=g6hjOOdg6dH4Ro;!c}J&JW-+<45-juqYTYXOH?+-|c&7pXY;?u?E3g15>OuDJz*
z-3IB-&MC#^~Dh
zfv88O^RbfANg0)ezhHcrHJ1{iMx8zt@kcZj*s6srEAUl@#P|(incUnF5lX&znCzngFU+
zOsAKPu6^>*3mR@Ayp`Ouw?o4N>zG&%!eVoEU~@<9)ayY5VdkqDl;-2S$`IeRV~!v)
z>u(P7#0n*$i<1|^{2qdbpVhAh(_OX!!ACZ=?n?=$tRXBeuBdcXht1AFLkwF>e*Vr&
z{kHzKl#_frbPqag>=bVl2nO64KZqjj)Fzg+1l~+JFX2sz(VMfy$GvOU=G^Uoq
z_^Q_U65*kb*7+92;&+bG*x&9%#2dmLT!VT$3#+WK4=eaw@s3#5r>gB(xfaFm!P%1D
z8pmq=$2u!wWN-d>KiB9?6UKF&Pqw7pTe917Ja8qX)w?)8FDYRD(B+^GW^`UYihB8t
znujj2d7#8%U#(Ro1YIR7s&5-#x9&-&Q0G87S&i>jV?ezzR;FG1(E@k|P!Iq>Pp>=i
zK9)APzq{i!*2DeHEI2FRb9biy&P4RC`KxHr*nxc+l0%6*?vk%4vxY~-zWtjv7yXW>CpJ
z`GF@7Do=)>M11q}!31UsL`(ek)gA;2+ZWic^e8ZFzzH6R-E>7h4$W`VmK~CS@}j7E
zwfIpTOQKEX4gH|r?;Xj-do}9P%3!o!i2jvO<)h=g^2}f_pY~r3iE`}4-@vXHAH7Qr
z_C12)EF%-^9xT>Y>qAASyw$=$j*C!_06=?{N@B#E#n
zgzkN%7CZN>y`*H{zLdPib4U#G^oZ$P>I2D5N6c~VU6Hq*Zu{XNsr0D1Qlk2O7}gOV
zD?P%J0EI$2`}+G4xV|%6>UY_p1=)JYzrE6*n#Ugo+xC6v?>ddH=)PSQhu-`cLfh-p
zSorSP*4XFE;7XDc>U=v&4e%r}s_JU#$
z_dJM24vdMLQCCdXKi@?Jl_F-wOz>O%cNW8yW$GR~cRcwyCPdrJbT!;({20<=E_kc0
z6FU{RXh816y|-Psv~oK9^{I~#sH}0aIyVIth_`JoP)N}D@^ly^(|(SNXL)!|NRIqj
zN8{`J^E~tYtEvC+Jsu{j^W;44XmokIdporWLTGP74hFcENC$BD5Ag6L9^pP(w7VRJ
z1i8=iD*0avk-%Qb+}OGRn4&1S0zrCSH+^Xb=ORi`b@_bszp5Y3ycjna|yCF;>bBZ?{}3bgO@!}G0{%?X{!*JW;7
z=vL5EVGjVCIH?(VLdgD|8b=}{D<%)cjZ)1BI*ONnO*ycmFmSCn
z#IrU`m6SRVQmsU#95!B>yP_fwZeYoJ7o}9}?5iGAS#T
zU!0+<5?83d7rw1j&#raKfZ@Rt9#Z5IG9>+8@ac*0MDo6O#3Ep`leYsyejI39yrR7Q
zP+sztTHT(TyWi|Qnp`86HB%~znio4iG!%bQ=dz2K+=S&F6xz^PUh*KQ=zo03(@}H7
zCjL@3&tNjY?
zlh;O**5@O{LP5bF$?J<5VR!PVJ@0lUj(JKYy!Fd^_xg9yvuDwml@DnPU$QJM)@$QC
zbr`dA+pMPZZkO_xS%=SOJl&z%=K0`Ysw_qAYQ%$UvKlBEu~AOcG+Q~qj*^oX1%Z-h
zQcfD>2)8B6?-E`BBeCUCo!u#@w|m2dqTbwm61LB7=>3N*c>nx^LnA*_N}1oN{V;Qu
zE|m+TOG9BpzjkMx%2mB1WOg|OG4e+XAMUxwrNV0=Qhg1M`K|V>k226h!S$-$i$2Ql
zcN+|PcFbTJl*Xg+`$36{i$0pk!KWIZttTIRC{P4({qBc0_o?f$?dzAJ6$^14uo!_<
z=v3k$UOM6U)*J8mIp+~1W$&JL&mVX7DMh$5lOWrBdeAZM@GaR~0<=|-ae1Loe~3)N
zkh7>esH$3%@AtVjS5H{vwAYjgID2y52xe-4()^)OheC%%3#8tjLJdluOxSt<4KOk>
zV8-(M$uWD{AN*Jw6B1VmA*}C&Qo80`Rg15+7g*jQrFqdc_wT8lYwQ*)!vj#nKYgT-H)H=L|GkF7VOWMm-1F(dk8R{S&?ZH%`x)30|3=5|q3u
zoZmU0Af2#(1{w)$MQG*q^Ct-fmwuU0?yCJ&4dqnIM#p;eu{xiE_j+Cx-iRxr3wkra
z{(h2mv)U`q>%%a1hB{cIMcB}b=dP0m4(o@v=k=ow{Pr463jjqBH@|%Uz_likK=`B?
ztp^sJtH6PePl2_1liuR>rF;F*aP8L(0}77Zez&+Zy?PbvnzGN%DhLk_hxpFmf>f)s
z=0MMqqg`@qm
zE~dq=;AXe9`Ex^+u^GF2SDW?u5_3(GT0yN7b!hfuhzfEwnXE)hbj&zg-kvP4W|bj%
zjli|;4(h)FE$bw_Vn-gYZku5cd96kTz4*zgQ8lS8ZoW`KG%4KUAD9;KD8QLym*nI1A$5)
z{EDqiB4HNAFaU1sr0K5Up!Jy`c=cwU@Wl6eUZA6(p4mXJzzaEx9_p)PY)=_*8PNRy
zMq`)52@JjL4o^9nkU(t?I-o+dzZVQr`5omimwVh
zYh`^@aX^gIInDTVco!FG`SnsCA~l8+R>bGyuBo%CAlsjG5c_&J#d7mK9*H-4^lX32
zHdFEp@eLjxi^%3IE6C)I?96m1ezkB~qs2)xIkhdRCF&Qm2r|pKN>jtnBqyWYc55s$
z9*?r#7Ggv-Z}2k13XTueyGa09;=V2~xjTQnnmlkHKuil9^EOHxqE*xuP2Pq^)Yo8L
z&K+w!k!EupEtZPI`#=}8lDuF!iOFY6#P6a)bXEIV%-S~MA)*sW1{d}uAS
zvG1w;f%Q#=ip`kti>(l&oZniS3}9LR!ZQCGK0(f8aUXEyuX^s)w{h%F)RKkneru``
zDjV|h-LWTa@vbfpK$%`5u`S?U-a*u~Yxah>ZUqka+nsHfE{X8w9Nq#``vO<)c?BHW
za93fW<#i(WC9KsO(9(#bhs-&|f~qN^7P3;J+xJ^H5rRw?+gLk~8=I%lLc5Uu_1Y^j$BP2(
zSiN|iK8MXKey2T(ee7Jj5yT}7o9236NhBh!`DS
z3A>}w-#;|fT`B=Y$aY=xrL+msazCn3bs<0Cu9+Esaj{34OhljR;gX*F&v1zAsF8Ic
zC?_eTnN#rFO{qpF)|o@QMEhPeizy)9A6Hki*6_8|t&o}pZB?IpuDpNOp}O#Dr*yr;
z@|T?@odwCn4A0uQW)MwrIiwZIlk;rEWMH7wz<4)d?M2}ml>p5E!YV3HQk9bh&H
z>VtrIoYd$*>60DTIbJ_9hSGt_yE~*A6z0be`z0~b%$E~=mrBa^o^m?@dv!QL3`KYB
zOjHHS*}mNXXq^4&y<@ZjMB{iJ!vx;(3Qc2?DWek&E~dt-6NT@+J@y;`ndZ~AjH>t8
z2)|aUezs_qw==8O^gO>hMCymP;#*I19<9A6x~mihPKP^0SPSDTX^@lOSdXf4V0>}9
z)pfbvPZN=BSoU#ld;x=>(NT&S~JuwLfWuK
zmAaO>K}`8OghZxT7B?i3?deO?StAK^@YYOQTU6F9WfKX`x4sc!x^V`g>>Rsohkszuq%^e!=ym`2em{{f&S=0NXGlpBED(N-i3Qm+7L)Fjq2;+=ktDXJ7br+iVVU0E>^3M!VW8L6nqo8WSrWPtT
zNl~|_sD1tQtNO|_$s2y!*!-ABVV4lM3=hwq@wbz?9WC$ha{T8?;14_N;I1zI1br}A
zq9K(wha7HeJVmQ749vFgv5ENTfm$|6G-$)k3D2NQ
z#fz+)scge(#PxNrQe
z;PLpu2MGJ`9_s+wCdX}H2h1+fCf%W7Ue`3F8r0gu3b)9K$dzobeP_!F%7FNfdQF`4
zI$SB~R^PZNpD>Quwd1)mDf8xO-;^q4j=$a~iPAF<^*c+}eKN>_#{ggZdKKFzGGu-Qd_P(F#_ZLJhN-e8A-^is4$g@iF
zW=7Ux$0BqfSUG}h;sHGr&inV;h*P&qaoWjxmtx6Rw12`F4w&6L=lcMM8Y)pLwykF?
z(eEcNg<1Wucijtr(*Ke@N;LjgQ;#r@eIjZf%bnW2kF3_*A^2Ce_1_@C=a;3%Rn`@C
zWJy7&#C^rj9IwTkxR738ec#0-+>f}MFrH$gf;G0_-_t0cqH=IY8Orln_n?!PYds_R
zLX^*OFc+nUyvx@Z4Y<=&^Gx|l|Gvds>~t6Rv_W#aaIR4_ez-%FJuE|@X${AF*2Fqh
z;^4^Xh8}(xr&WtQ-{_{RTQLMVI>6VQ9A_|y_7qL)_L7(@@htnj0i{ISiJ_w%y}(_o
zU&6;O5K5C0lZU2op;J>AJlyj>U5Caw37B0P^%kMGRH$~y7Z>UFu1vn~G*A+oGEm8$
zsq9=i@HAHK)8SRsrh}aN?{j`U%=-h+gFN*g;*K8q@mx*7oXzQ!{c%^+txSG&2qZoc
ziJQ+qv!DOO{*eA@NjcFYwgI_`Jqe5{5+0j{7H!*Cdt`%tByH$+_UYfljbPB>ezCmd
zSYh6uHC~eC@~T022G6$6V$v`7&>OpCLn}7r1t51oLr|8iH6m-k6x?DEZa)yafH!jwzJ!gd!J|g6;#tV
z?b7Sgqe7KD6VI>Do*~GA`lh3vJq~)$jTTF8C$GiW)`n}(+?tBl6|>X&nPkW0sPrE5
zn=ooPg)z0RJ1J^I^(R=gEb^k*VO3sMHK>(q&AVH6aSt$D>!Jjgw_k6Vnl4*haF2j(
zlpi|(GZX5@1d|>$5??+
zT?ZS*4!i}pb=3-?cqrYT0#_p7AhKw;8Jpry)@gbW`==unbIStDysV!9AoR=e6EYRsiz|@;d_t)fQ8KzNgBS;Y%tl&nk+(-$`?kQ`tfBD|Je*+utNlg5&JfMlJ8(YME&`^*CFb
z{e<0oDcVJ$q;t=Uw2jm}Wj=)eEPKOJ=UsuLvt5{%8w+g(Zz~n^k|<yhoaR;D*qZXzGCflk%}Zb>F8JDc>mT=_$La$@I<
zZJXvVP#;w)QI}?Mi8IpHk+7!jOyMk_^YU-?Pm%K}>!3bMRa3a`b14s*9_`!Sr#`lt
zIZBN9DNZCCDjn94*CylO49l3ZwCMZ|Mwq$x-0^bD%%=H*`p&aAyS8+fcI2?KS6#OJ
zy39*7+{C+NVg>IYs&M#cd7Bo4?vqEIcVs@l!)ly0lj@B@cD&FHpvI?{IL+Fk
zM6a(y_Bk2cJSji@$Vg+R{V3zRqt?qK!NfBmE}n<6o1Ok4z<&CMM#JmS*(U%-1))L<
ztrzWwc4a-p@9!+J?4zo1K{g>sM|7hTS3bVaIjb)Va0a=7PR`|E>EvIz&!V^yT3A-B>F*PM!zc7zT
z@rJ$6ql%4I`sg{+boL?1V}%LK(i7=pFTz8@?Dxjz-zxCK^AcwKvq+jfhdt^pmUbFt
zRJ?R~KBmVX94b-ckx*o@?~17`-YOy>;O5cCElSzO0~Z4fjE;5qyjPXmc0$;D8*k(<
zI6%Sri8o4;|I
zdlqvqw&bQoPRWra-GMg*@AZ8pMjmxF`opp$$)4f3ck^*g)}?Z3n;O80ry018pn6kA
z%(IQ6%8pXYepmGCl<>F1xv!L1_>4r{9$)5!y$gfsdOpd1N|>abwp6Yf{aJzdQQPB!
z#q@vzH2y*mEmJxvV)t!*-E7mqM}xmtUGGWubNF$XfYX>3jc~D9vLsOG8Lkp>#d{5g
z&KT!uryzblQXbPUXQ9>PH&X^qEM3CcY&$wnls!#bGWKGIq&lygLrPNf{Kh!dck%?l
ztV!Ejs?i#&prc@lG%DVt&<*;}+*33KuKK-8{6F)Y_=Rt6{fRTpMnc1lLelpxqK#CI
zpnf4QD*TiU>Az^Ib%A-N$*q9uf7+L*a@B9`-i0_}X}gIx0lHFUXMP*FFJfmL9^$6d
zS65h>1aINM(zbmc*4xdy<6Oy+;-R4Qha|v453k_%8tP1vmS3HNA;ycHWNlKGUQOJ4
zyxT#v7SU`t(HK>9Xk1-)ddAg4OsGt9{0?~K)z0IEVohrYQS!Zd>1pZ-hVx`3%y5t!
zkM9u1H~QtYz5SJc_tE>GQ|YcX{WdpqlqR&0!(RmMd(-xg-1nYAd*RV>=;u24R^6Vq
z$<=78TKpIA;@4AG_eZ_~QDL43Zd)iS^yfPDrkZButon_C)27Vl@M&dub+0Lg@3QffOZSaLP*Bn8T6Qq&!TV@4
z6w&gwxd`IR$O!Dl>vGeWfF$LM&Jh8D>$uoSfq38@#n7(gQ#(upYlIY7?H|0n=d4DH
z5T-ljY=5!|q<>I+`yTAJopcd&wP4=Ts*Z~_=p7ne^G_jnmUd*DI?|L+S?XYjtw#h)
z!^{9D^!APr(m8Y+y}SJal6ilrox
z(N^_6RkftGXN(eSR0Ivev{Z!HRYWA(GKdgUTM*0qGV{;->;3ocANQ|&&fU)W-t$@R
z_e(9zSIAV~Tojz@92_8^N+qh*SkEROasd{!?{7!JnXW#R$%oEfVAfx8#!cQ8sKYkv
zE3qVVr7Pi4SpKKlxL@A!eWLhs1@g-uF1}u-I(+_k2N``*$I{$$Wyxkh{0(yNBHT_J
zmeMzm;LkfAyT(54ZMt~wlN2_foO&YXDnlg{D543TXA(*sS3tO~Nm}}y*=ea{UpNYY
zao_}G$LbuHiRmHqj{>PdX^LkZjwb&J+C5ZGc@ZXY)d_DZUySVM3z_FcwVf6Mo(*-8W
zXkhjGZ%Dpp9yAlL(Qs_x6ERS8<||NyU@;tB;C{HES^9DzfwS8dY&G6C6u(uC*WI(4
zcRsER?7*OI-X1Oh
zEXoNr-&3SSpEv%DhfW;WjO;{&^e)ZMwd;Hs|GdZk!$^T}?+8pn-Pw2R3Zg^@cRQ_m
zYNERQ?5EV9qamX)trkXbqbiNDSn#05WmP|NVyeBQf@A5&X4!f
z;P#cS2vASkG&WrYoq-$^VTxP4@(x9>S-yl0LK{lUQfMBunh4Szg&)V+)kd&bd&%v9
ze%tET`INa77m#!l*!-KDZ0bz?eOY(nk$y~pTc;+e
zI6aZ^9^fv^ZTokEga@Ay`nTP7z=-tG_jPvtJ`yP9sg@hx62t0K
z=f?Oq^g9=k&6+y~X-CXjSyqoW=j>*H#XGO!^ob^r7qa^rZb`Sy^F@DKlwJp(&7G#6
z-zxL}7@02=zp}Ll?z%*h&HO#IvAb|DB1ip10I~V<(c|mPN=epH%mfA<9iV1F_|{e%%d;iz2RK&0=v^~yJ>z3WI>m+x5Z8bxRM=&MZ>m7ja
zLuv*NdEQa5c*>Dt>|~aU)0wO7H@rWU%k+WUv%%3H21GU!o~(+IR1Mi=OYPta$6l@1pd8ng529L6Zt2o5x*R}s{L
zX3;=Ut5*ayC%{va(=)E6ZqLh%OhD*;Vf1u~#1z}>u`0N^hJ(G!aN*B|fovgJU=Zea?Czsj!W#sMGJbm%BFb2Lbo}2VW6p^Mi9r+?wLcXWPxiA0-
zI0g{V00@THmuI$u7p~gf7CEMC#fQeWK==d%=E--xQ=$l(w!vDbNe-ibidP`n9UI0=
zq$^3&rx59;jAWS<-5@F749CR}T2!5T`e>u}9PqCpzR&0Gi#dbrfUo!&dbUOB2Ts}2
ztX%}Qol#o7O`pOTo#Ma5ZS-kz=3Euym|(=$8CXPlyzuAe(4dyLzgL$wDnTRNEs183
zClYQC!QEKm9HMjZ9LWKZular5_P4a3w
zgs(GO*|3!+HC8R>_6HbuKNW5pI_~8`$OL2s!R~FFO(sE->tKi~Qu^gZ_c?|N
zp!!_CQB&d3CJI37!@|(!(QSZ5Bt!#X%KvKrZB6?hrk=kC|DSuq(SxH##c7X+L$vD^
OQ^B0v9cd2#y!$7oH>|(_

diff --git a/dev/articles/a3_troubleshooting.html b/dev/articles/a3_troubleshooting.html
index e4d63f6d..0e06e666 100644
--- a/dev/articles/a3_troubleshooting.html
+++ b/dev/articles/a3_troubleshooting.html
@@ -94,7 +94,7 @@ 
NAs in the data#> ✖ dplyr::filter()  masks stats::filter()
 #> ✖ dplyr::lag()     masks stats::lag()
 #> ✖ recipes::step()  masks stats::step()
-#> • Use tidymodels_prefer() to resolve common conflicts.
+#> • Dig deeper into tidy modeling with R at https://www.tmwr.org
 #> Loading required package: spatialsample
 lacerta_thin <- readRDS(system.file("extdata/lacerta_climate_sf.RDS",
   package = "tidysdm"
@@ -135,10 +135,10 @@ 
NAs in the data  )
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 1 of 2 resampling: default_glm
-#> ✔ 1 of 2 resampling: default_glm (341ms)
+#> ✔ 1 of 2 resampling: default_glm (342ms)
 #> i 2 of 2 tuning:     default_rf
 #> i Creating pre-processing data to finalize unknown parameter: mtry
-#> ✔ 2 of 2 tuning:     default_rf (1.8s)

+#> ✔ 2 of 2 tuning:     default_rf (1.9s)

 
We can see that the error is self-explanatory. Also, note that the
 error impacts all data splits (technically, rset objects):
 error A is repeated 15 times (5 splits for 3 hyperparameter values).

@@ -320,7 +320,7 @@ 
Using the desired formula with GAM  )
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 1 of 2 resampling: default_glm
-#> ✔ 1 of 2 resampling: default_glm (275ms)
+#> ✔ 1 of 2 resampling: default_glm (290ms)
 #> i  No tuning parameters. `fit_resamples()` will be attempted
 #> i 2 of 2 resampling: default_gam
 #> ✔ 2 of 2 resampling: default_gam (1.5s)

@@ -405,10 +405,10 @@ 
When only some splits fail#> There were issues with some computations   A: x1
 #> There were issues with some computations   A: x1
 #> 
-#> ✔ 2 of 3 resampling: default_gam (1.6s)
+#> ✔ 2 of 3 resampling: default_gam (1.7s)
 #> i 3 of 3 tuning:     default_rf
 #> i Creating pre-processing data to finalize unknown parameter: mtry
-#> ✔ 3 of 3 tuning:     default_rf (456ms)

+#> ✔ 3 of 3 tuning:     default_rf (501ms)

 
We see that one of the folds gives us an error when using GAMs. The
 error (“Fitting terminated with step failure - check results carefully”)
 comes from the gam function in the package mgcv. A quick
diff --git a/dev/pkgdown.yml b/dev/pkgdown.yml
index 2545f7d5..1db5d380 100644
--- a/dev/pkgdown.yml
+++ b/dev/pkgdown.yml
@@ -6,7 +6,7 @@ articles:
   a1_palaeodata_application: a1_palaeodata_application.html
   a2_tidymodels_additions: a2_tidymodels_additions.html
   a3_troubleshooting: a3_troubleshooting.html
-last_built: 2024-11-18T21:47Z
+last_built: 2024-12-10T15:34Z
 urls:
   reference: https://evolecolgroup.github.io/tidysdm/reference
   article: https://evolecolgroup.github.io/tidysdm/articles
diff --git a/dev/reference/collect_metrics.simple_ensemble.html b/dev/reference/collect_metrics.simple_ensemble.html
index 29b07739..0f0ca02e 100644
--- a/dev/reference/collect_metrics.simple_ensemble.html
+++ b/dev/reference/collect_metrics.simple_ensemble.html
@@ -87,18 +87,18 @@ 
Examples#> # A tibble: 12 × 5
 #>    wflow_id       .metric     mean std_err     n
 #>    <chr>          <chr>      <dbl>   <dbl> <int>
-#>  1 default_glm    boyce_cont 0.683 0.0573      3
-#>  2 default_glm    roc_auc    0.789 0.0137      3
-#>  3 default_glm    tss_max    0.533 0.0192      3
-#>  4 default_rf     boyce_cont 0.632 0.0552      3
-#>  5 default_rf     roc_auc    0.791 0.0146      3
-#>  6 default_rf     tss_max    0.519 0.0284      3
-#>  7 default_gbm    boyce_cont 0.738 0.0473      3
-#>  8 default_gbm    roc_auc    0.792 0.00304     3
-#>  9 default_gbm    tss_max    0.545 0.0368      3
-#> 10 default_maxent boyce_cont 0.832 0.0771      3
-#> 11 default_maxent roc_auc    0.832 0.00649     3
-#> 12 default_maxent tss_max    0.595 0.0124      3
+#>  1 default_glm    boyce_cont 0.661 0.192       3
+#>  2 default_glm    roc_auc    0.779 0.0149      3
+#>  3 default_glm    tss_max    0.494 0.0612      3
+#>  4 default_rf     boyce_cont 0.637 0.0367      3
+#>  5 default_rf     roc_auc    0.773 0.0180      3
+#>  6 default_rf     tss_max    0.497 0.0118      3
+#>  7 default_gbm    boyce_cont 0.550 0.188       3
+#>  8 default_gbm    roc_auc    0.776 0.0107      3
+#>  9 default_gbm    tss_max    0.514 0.0202      3
+#> 10 default_maxent boyce_cont 0.622 0.0412      3
+#> 11 default_maxent roc_auc    0.809 0.00822     3
+#> 12 default_maxent tss_max    0.572 0.00390     3
 collect_metrics(lacerta_rep_ens)
 #> # A tibble: 18 × 6
 #>    rep_id wflow_id       .metric     mean std_err     n
diff --git a/dev/reference/explain_tidysdm.html b/dev/reference/explain_tidysdm.html
index 1c7fb3dd..35e905a4 100644
--- a/dev/reference/explain_tidysdm.html
+++ b/dev/reference/explain_tidysdm.html
@@ -197,16 +197,16 @@ 
Exampleslacerta_explainer <- explain_tidysdm(tidysdm::lacerta_ensemble)
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  data.frame  (  default  )
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  predict_function 
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidysdm , ver. 0.9.6.9004 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.01490969 , mean =  0.2861937 , max =  0.7169324  
+#>   -> predicted values  :  numerical, min =  0.02638562 , mean =  0.2951438 , max =  0.7778588  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.6465921 , mean =  -0.03619367 , max =  0.7891973  
+#>   -> residuals         :  numerical, min =  -0.6797394 , mean =  -0.04514377 , max =  0.7720678  
 #>   A new explainer has been created!  
 # by workflow
 explainer_list <- explain_tidysdm(tidysdm::lacerta_ensemble,
@@ -214,55 +214,55 @@ 
Examples)
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  default_glm 
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  yhat.workflow  will be used (  default  )
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.2280177 , mean =  0.75 , max =  0.9854359  
+#>   -> predicted values  :  numerical, min =  0.2554356 , mean =  0.75 , max =  0.9838188  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.9096205 , mean =  5.395921e-12 , max =  0.7719823  
+#>   -> residuals         :  numerical, min =  -0.9314151 , mean =  9.574021e-12 , max =  0.7445644  
 #>   A new explainer has been created!  
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  default_rf 
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  yhat.workflow  will be used (  default  )
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.1315421 , mean =  0.7480648 , max =  1  
+#>   -> predicted values  :  numerical, min =  0.06715952 , mean =  0.7496213 , max =  1  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.6878921 , mean =  0.001935171 , max =  0.5870619  
+#>   -> residuals         :  numerical, min =  -0.6303111 , mean =  0.0003787291 , max =  0.5929444  
 #>   A new explainer has been created!  
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  default_gbm 
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  yhat.workflow  will be used (  default  )
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.3390188 , mean =  0.7314788 , max =  0.9632964  
+#>   -> predicted values  :  numerical, min =  0.2205058 , mean =  0.7324831 , max =  0.9634812  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.9268645 , mean =  0.01852121 , max =  0.6280424  
+#>   -> residuals         :  numerical, min =  -0.8709313 , mean =  0.01751694 , max =  0.6855955  
 #>   A new explainer has been created!  
 #> Preparation of a new explainer is initiated
 #>   -> model label       :  default_maxent 
-#>   -> data              :  444  rows  4  cols 
+#>   -> data              :  448  rows  4  cols 
 #>   -> data              :  tibble converted into a data.frame 
-#>   -> target variable   :  444  values 
+#>   -> target variable   :  448  values 
 #>   -> predict function  :  yhat.workflow  will be used (  default  )
 #>   -> predicted values  :  No value for predict function target column. (  default  )
 #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  ) 
 #>   -> model_info        :  type set to  classification 
-#>   -> predicted values  :  numerical, min =  0.1095764 , mean =  0.6256817 , max =  0.9960248  
+#>   -> predicted values  :  numerical, min =  0.03884931 , mean =  0.5873206 , max =  0.9584494  
 #>   -> residual function :  difference between y and yhat (  default  )
-#>   -> residuals         :  numerical, min =  -0.8207859 , mean =  0.1243183 , max =  0.8904236  
+#>   -> residuals         :  numerical, min =  -0.8338183 , mean =  0.1626794 , max =  0.9611507  
 #>   A new explainer has been created!  
 # }
 

diff --git a/dev/reference/thin_by_cell.html b/dev/reference/thin_by_cell.html
index 1d619c1c..0e79d670 100644
--- a/dev/reference/thin_by_cell.html
+++ b/dev/reference/thin_by_cell.html
@@ -92,7 +92,10 @@ 
Value
Details

     
Further thinning can be achieved by aggregating cells in the raster
 before thinning, as achieved by setting agg_fact > 1 (aggregation works in a
-manner equivalent to terra::aggregate()).

+manner equivalent to terra::aggregate()).
+Note that if data is an sf object, the function will transform the coordinates
+to the same projection as the raster (recommended); if data is a data.frame, it is up
+to the user to ensure that the coordinates are in the correct units.

     

 
   

     
Further spatial thinning can be achieved by aggregating cells in the raster
 before thinning, as achieved by setting agg_fact > 1 (aggregation works in a
-manner equivalent to terra::aggregate()).

+manner equivalent to terra::aggregate()).
+Note that if data is an sf object, the function will transform the coordinates
+to the same projection as the raster (recommended); if data is a data.frame, it is up
+to the user to ensure that the coordinates are in the correct units.

     

 
   

     

 
@@ -92,6 +93,11 @@ 
Argumentslubridate_fun
 
function to convert the time column into a lubridate object

 
+
+
dist_method

+
method to compute distance, either "euclidean" or "great_circle".
+Defaults to "great_circle", which is more accurate but takes slightly longer.

+
 

     

     
Value

diff --git a/dev/search.json b/dev/search.json
index 657d55e7..b9817206 100644
--- a/dev/search.json
+++ b/dev/search.json
@@ -1 +1 @@
-[{"path":"https://evolecolgroup.github.io/tidysdm/dev/CODE_OF_CONDUCT.html","id":null,"dir":"","previous_headings":"","what":"Contributor Code of Conduct","title":"Contributor Code of Conduct","text":"contributors maintainers project, pledge respect people contribute reporting issues, posting feature requests, updating documentation, submitting pull requests patches, activities. committed making participation project harassment-free experience everyone, regardless level experience, gender, gender identity expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, religion. Examples unacceptable behavior participants include use sexual language imagery, derogatory comments personal attacks, trolling, public private harassment, insults, unprofessional conduct. Project maintainers right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct. Project maintainers follow Code Conduct may removed project team. Instances abusive, harassing, otherwise unacceptable behavior may reported opening issue contacting one project maintainers. Code Conduct adapted Contributor Covenant (https://www.contributor-covenant.org), version 1.0.0, available https://contributor-covenant.org/version/1/0/0/.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing to tidysdm","title":"Contributing to tidysdm","text":"document outlines contribute development tidysdm. package maintained voluntary basis, help always appreciated.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"the-basic-process-of-contributing","dir":"","previous_headings":"","what":"The basic process of contributing","title":"Contributing to tidysdm","text":"Development work tidysdm occurs dev branch. , want propose changes, work dev. Start forking project onto github repository, make changes directly fork (either dev branch, make custom branch). updating documentation checking tests pass (see ), start Pull Request. proposed changes reviewed, might asked fix/improve code. can iterative process, requiring rounds revision depending complexity code. Functions documented using roxygen. changes affects documentation , rebuild . root directory package, simply run: implemented new functionality, patched bug, consider whether add appropriate unit test. tidysdm uses testthat framework unit tests. make sure tests work : Finally, submit push request, check changes don’t break build. can check, also builds vignette runs tests.: Make sure resolved warnings notes raised devtools::check()! followed 3 steps, ready make Pull Request. changes go automatic continuous integration, check impact changes multiple platforms. everything goes well, see green tick submission.","code":"devtools::document() devtools::test() devtools::check()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"fixing-typos","dir":"","previous_headings":"","what":"Fixing typos","title":"Contributing to tidysdm","text":"spot typos, spelling mistakes, grammatical errors documentation, fix directly file describes function. .R file R directory, .Rd file man directory. .Rd files automatically generated roxygen2 edited hand. recommend study first roxygen2 comments work.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"functional-changes","dir":"","previous_headings":"","what":"Functional changes","title":"Contributing to tidysdm","text":"want make change impacts functioning tidysdm, ’s good idea first file issue explaining mind. change meant fix bug, add minimal reprex. good reprex also perfect starting point writing unit test, accompany functional change code. Unit tests also essential fixing bugs, can demonstrate fix work, prevent future changes undoing work. unit testing, use testthat; find tests tests, file dedicated function, following convention test_my_function.R naming files. creating tests, try make use built-datasets, rather adding data files package. Ideally, body Pull Request include phrase Fixes #issue-number, issue_number number Github. way, Pull Request automatically linked issue, issue closed Pull Request merged . user-facing changes, add bullet top NEWS.md (.e. just first header). Follow style described https://style.tidyverse.org/news.html. continuous integration checks Pull Request reduce test coverage.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"code-style","dir":"","previous_headings":"Functional changes","what":"Code style","title":"Contributing to tidysdm","text":"New code follow tidyverse style guide. can use styler package apply styles, please don’t restyle code nothing PR. Lots commenting code helps mantainability; , doubt, always add explanation new code.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contributing to tidysdm","text":"Please note tidyverse project released Contributor Code Conduct. contributing project agree abide terms.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU Affero General Public License","title":"GNU Affero General Public License","text":"Version 3, 19 November 2007 Copyright (C) 2007 Free Software Foundation, Inc.  Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU Affero General Public License","text":"GNU Affero General Public License free, copyleft license software kinds works, specifically designed ensure cooperation community case network server software. licenses software practical works designed take away freedom share change works. contrast, General Public Licenses intended guarantee freedom share change versions program–make sure remains free software users. speak free software, referring freedom, price. General Public Licenses designed make sure freedom distribute copies free software (charge wish), receive source code can get want , can change software use pieces new free programs, know can things. Developers use General Public Licenses protect rights two steps: (1) assert copyright software, (2) offer License gives legal permission copy, distribute /modify software. secondary benefit defending users’ freedom improvements made alternate versions program, receive widespread use, become available developers incorporate. Many developers free software heartened encouraged resulting cooperation. However, case software used network servers, result may fail come . GNU General Public License permits making modified version letting public access server without ever releasing source code public. GNU Affero General Public License designed specifically ensure , cases, modified source code becomes available community. requires operator network server provide source code modified version running users server. Therefore, public use modified version, publicly accessible server, gives public access source code modified version. older license, called Affero General Public License published Affero, designed accomplish similar goals. different license, version Affero GPL, Affero released new version Affero GPL permits relicensing license. precise terms conditions copying, distribution modification follow.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_0-definitions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"0. Definitions.","title":"GNU Affero General Public License","text":"“License” refers version 3 GNU Affero General Public License. “Copyright” also means copyright-like laws apply kinds works, semiconductor masks. “Program” refers copyrightable work licensed License. licensee addressed “”. “Licensees” “recipients” may individuals organizations. “modify” work means copy adapt part work fashion requiring copyright permission, making exact copy. resulting work called “modified version” earlier work work “based ” earlier work. “covered work” means either unmodified Program work based Program. “propagate” work means anything , without permission, make directly secondarily liable infringement applicable copyright law, except executing computer modifying private copy. Propagation includes copying, distribution (without modification), making available public, countries activities well. “convey” work means kind propagation enables parties make receive copies. Mere interaction user computer network, transfer copy, conveying. interactive user interface displays “Appropriate Legal Notices” extent includes convenient prominently visible feature (1) displays appropriate copyright notice, (2) tells user warranty work (except extent warranties provided), licensees may convey work License, view copy License. interface presents list user commands options, menu, prominent item list meets criterion.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_1-source-code","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"1. Source Code.","title":"GNU Affero General Public License","text":"“source code” work means preferred form work making modifications . “Object code” means non-source form work. “Standard Interface” means interface either official standard defined recognized standards body, , case interfaces specified particular programming language, one widely used among developers working language. “System Libraries” executable work include anything, work whole, () included normal form packaging Major Component, part Major Component, (b) serves enable use work Major Component, implement Standard Interface implementation available public source code form. “Major Component”, context, means major essential component (kernel, window system, ) specific operating system () executable work runs, compiler used produce work, object code interpreter used run . “Corresponding Source” work object code form means source code needed generate, install, (executable work) run object code modify work, including scripts control activities. However, include work’s System Libraries, general-purpose tools generally available free programs used unmodified performing activities part work. example, Corresponding Source includes interface definition files associated source files work, source code shared libraries dynamically linked subprograms work specifically designed require, intimate data communication control flow subprograms parts work. Corresponding Source need include anything users can regenerate automatically parts Corresponding Source. Corresponding Source work source code form work.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_2-basic-permissions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"2. Basic Permissions.","title":"GNU Affero General Public License","text":"rights granted License granted term copyright Program, irrevocable provided stated conditions met. License explicitly affirms unlimited permission run unmodified Program. output running covered work covered License output, given content, constitutes covered work. License acknowledges rights fair use equivalent, provided copyright law. may make, run propagate covered works convey, without conditions long license otherwise remains force. may convey covered works others sole purpose make modifications exclusively , provide facilities running works, provided comply terms License conveying material control copyright. thus making running covered works must exclusively behalf, direction control, terms prohibit making copies copyrighted material outside relationship . Conveying circumstances permitted solely conditions stated . Sublicensing allowed; section 10 makes unnecessary.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_3-protecting-users-legal-rights-from-anti-circumvention-law","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"3. Protecting Users’ Legal Rights From Anti-Circumvention Law.","title":"GNU Affero General Public License","text":"covered work shall deemed part effective technological measure applicable law fulfilling obligations article 11 WIPO copyright treaty adopted 20 December 1996, similar laws prohibiting restricting circumvention measures. convey covered work, waive legal power forbid circumvention technological measures extent circumvention effected exercising rights License respect covered work, disclaim intention limit operation modification work means enforcing, work’s users, third parties’ legal rights forbid circumvention technological measures.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_4-conveying-verbatim-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"4. Conveying Verbatim Copies.","title":"GNU Affero General Public License","text":"may convey verbatim copies Program’s source code receive , medium, provided conspicuously appropriately publish copy appropriate copyright notice; keep intact notices stating License non-permissive terms added accord section 7 apply code; keep intact notices absence warranty; give recipients copy License along Program. may charge price price copy convey, may offer support warranty protection fee.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_5-conveying-modified-source-versions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"5. Conveying Modified Source Versions.","title":"GNU Affero General Public License","text":"may convey work based Program, modifications produce Program, form source code terms section 4, provided also meet conditions: work must carry prominent notices stating modified , giving relevant date. work must carry prominent notices stating released License conditions added section 7. requirement modifies requirement section 4 “keep intact notices”. must license entire work, whole, License anyone comes possession copy. License therefore apply, along applicable section 7 additional terms, whole work, parts, regardless packaged. License gives permission license work way, invalidate permission separately received . work interactive user interfaces, must display Appropriate Legal Notices; however, Program interactive interfaces display Appropriate Legal Notices, work need make . compilation covered work separate independent works, nature extensions covered work, combined form larger program, volume storage distribution medium, called “aggregate” compilation resulting copyright used limit access legal rights compilation’s users beyond individual works permit. Inclusion covered work aggregate cause License apply parts aggregate.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_6-conveying-non-source-forms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"6. Conveying Non-Source Forms.","title":"GNU Affero General Public License","text":"may convey covered work object code form terms sections 4 5, provided also convey machine-readable Corresponding Source terms License, one ways: Convey object code , embodied , physical product (including physical distribution medium), accompanied Corresponding Source fixed durable physical medium customarily used software interchange. Convey object code , embodied , physical product (including physical distribution medium), accompanied written offer, valid least three years valid long offer spare parts customer support product model, give anyone possesses object code either (1) copy Corresponding Source software product covered License, durable physical medium customarily used software interchange, price reasonable cost physically performing conveying source, (2) access copy Corresponding Source network server charge. Convey individual copies object code copy written offer provide Corresponding Source. alternative allowed occasionally noncommercially, received object code offer, accord subsection 6b. Convey object code offering access designated place (gratis charge), offer equivalent access Corresponding Source way place charge. need require recipients copy Corresponding Source along object code. place copy object code network server, Corresponding Source may different server (operated third party) supports equivalent copying facilities, provided maintain clear directions next object code saying find Corresponding Source. Regardless server hosts Corresponding Source, remain obligated ensure available long needed satisfy requirements. Convey object code using peer--peer transmission, provided inform peers object code Corresponding Source work offered general public charge subsection 6d. separable portion object code, whose source code excluded Corresponding Source System Library, need included conveying object code work. “User Product” either (1) “consumer product”, means tangible personal property normally used personal, family, household purposes, (2) anything designed sold incorporation dwelling. determining whether product consumer product, doubtful cases shall resolved favor coverage. particular product received particular user, “normally used” refers typical common use class product, regardless status particular user way particular user actually uses, expects expected use, product. product consumer product regardless whether product substantial commercial, industrial non-consumer uses, unless uses represent significant mode use product. “Installation Information” User Product means methods, procedures, authorization keys, information required install execute modified versions covered work User Product modified version Corresponding Source. information must suffice ensure continued functioning modified object code case prevented interfered solely modification made. convey object code work section , , specifically use , User Product, conveying occurs part transaction right possession use User Product transferred recipient perpetuity fixed term (regardless transaction characterized), Corresponding Source conveyed section must accompanied Installation Information. requirement apply neither third party retains ability install modified object code User Product (example, work installed ROM). requirement provide Installation Information include requirement continue provide support service, warranty, updates work modified installed recipient, User Product modified installed. Access network may denied modification materially adversely affects operation network violates rules protocols communication across network. Corresponding Source conveyed, Installation Information provided, accord section must format publicly documented (implementation available public source code form), must require special password key unpacking, reading copying.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_7-additional-terms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"7. Additional Terms.","title":"GNU Affero General Public License","text":"“Additional permissions” terms supplement terms License making exceptions one conditions. Additional permissions applicable entire Program shall treated though included License, extent valid applicable law. additional permissions apply part Program, part may used separately permissions, entire Program remains governed License without regard additional permissions. convey copy covered work, may option remove additional permissions copy, part . (Additional permissions may written require removal certain cases modify work.) may place additional permissions material, added covered work, can give appropriate copyright permission. Notwithstanding provision License, material add covered work, may (authorized copyright holders material) supplement terms License terms: Disclaiming warranty limiting liability differently terms sections 15 16 License; Requiring preservation specified reasonable legal notices author attributions material Appropriate Legal Notices displayed works containing ; Prohibiting misrepresentation origin material, requiring modified versions material marked reasonable ways different original version; Limiting use publicity purposes names licensors authors material; Declining grant rights trademark law use trade names, trademarks, service marks; Requiring indemnification licensors authors material anyone conveys material (modified versions ) contractual assumptions liability recipient, liability contractual assumptions directly impose licensors authors. non-permissive additional terms considered “restrictions” within meaning section 10. Program received , part , contains notice stating governed License along term restriction, may remove term. license document contains restriction permits relicensing conveying License, may add covered work material governed terms license document, provided restriction survive relicensing conveying. add terms covered work accord section, must place, relevant source files, statement additional terms apply files, notice indicating find applicable terms. Additional terms, permissive non-permissive, may stated form separately written license, stated exceptions; requirements apply either way.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_8-termination","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"8. Termination.","title":"GNU Affero General Public License","text":"may propagate modify covered work except expressly provided License. attempt otherwise propagate modify void, automatically terminate rights License (including patent licenses granted third paragraph section 11). However, cease violation License, license particular copyright holder reinstated () provisionally, unless copyright holder explicitly finally terminates license, (b) permanently, copyright holder fails notify violation reasonable means prior 60 days cessation. Moreover, license particular copyright holder reinstated permanently copyright holder notifies violation reasonable means, first time received notice violation License (work) copyright holder, cure violation prior 30 days receipt notice. Termination rights section terminate licenses parties received copies rights License. rights terminated permanently reinstated, qualify receive new licenses material section 10.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_9-acceptance-not-required-for-having-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"9. Acceptance Not Required for Having Copies.","title":"GNU Affero General Public License","text":"required accept License order receive run copy Program. Ancillary propagation covered work occurring solely consequence using peer--peer transmission receive copy likewise require acceptance. However, nothing License grants permission propagate modify covered work. actions infringe copyright accept License. Therefore, modifying propagating covered work, indicate acceptance License .","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_10-automatic-licensing-of-downstream-recipients","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"10. Automatic Licensing of Downstream Recipients.","title":"GNU Affero General Public License","text":"time convey covered work, recipient automatically receives license original licensors, run, modify propagate work, subject License. responsible enforcing compliance third parties License. “entity transaction” transaction transferring control organization, substantially assets one, subdividing organization, merging organizations. propagation covered work results entity transaction, party transaction receives copy work also receives whatever licenses work party’s predecessor interest give previous paragraph, plus right possession Corresponding Source work predecessor interest, predecessor can get reasonable efforts. may impose restrictions exercise rights granted affirmed License. example, may impose license fee, royalty, charge exercise rights granted License, may initiate litigation (including cross-claim counterclaim lawsuit) alleging patent claim infringed making, using, selling, offering sale, importing Program portion .","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_11-patents","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"11. Patents.","title":"GNU Affero General Public License","text":"“contributor” copyright holder authorizes use License Program work Program based. work thus licensed called contributor’s “contributor version”. contributor’s “essential patent claims” patent claims owned controlled contributor, whether already acquired hereafter acquired, infringed manner, permitted License, making, using, selling contributor version, include claims infringed consequence modification contributor version. purposes definition, “control” includes right grant patent sublicenses manner consistent requirements License. contributor grants non-exclusive, worldwide, royalty-free patent license contributor’s essential patent claims, make, use, sell, offer sale, import otherwise run, modify propagate contents contributor version. following three paragraphs, “patent license” express agreement commitment, however denominated, enforce patent (express permission practice patent covenant sue patent infringement). “grant” patent license party means make agreement commitment enforce patent party. convey covered work, knowingly relying patent license, Corresponding Source work available anyone copy, free charge terms License, publicly available network server readily accessible means, must either (1) cause Corresponding Source available, (2) arrange deprive benefit patent license particular work, (3) arrange, manner consistent requirements License, extend patent license downstream recipients. “Knowingly relying” means actual knowledge , patent license, conveying covered work country, recipient’s use covered work country, infringe one identifiable patents country reason believe valid. , pursuant connection single transaction arrangement, convey, propagate procuring conveyance , covered work, grant patent license parties receiving covered work authorizing use, propagate, modify convey specific copy covered work, patent license grant automatically extended recipients covered work works based . patent license “discriminatory” include within scope coverage, prohibits exercise , conditioned non-exercise one rights specifically granted License. may convey covered work party arrangement third party business distributing software, make payment third party based extent activity conveying work, third party grants, parties receive covered work , discriminatory patent license () connection copies covered work conveyed (copies made copies), (b) primarily connection specific products compilations contain covered work, unless entered arrangement, patent license granted, prior 28 March 2007. Nothing License shall construed excluding limiting implied license defenses infringement may otherwise available applicable patent law.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_12-no-surrender-of-others-freedom","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"12. No Surrender of Others’ Freedom.","title":"GNU Affero General Public License","text":"conditions imposed (whether court order, agreement otherwise) contradict conditions License, excuse conditions License. convey covered work satisfy simultaneously obligations License pertinent obligations, consequence may convey . example, agree terms obligate collect royalty conveying convey Program, way satisfy terms License refrain entirely conveying Program.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_13-remote-network-interaction-use-with-the-gnu-general-public-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"13. Remote Network Interaction; Use with the GNU General Public License.","title":"GNU Affero General Public License","text":"Notwithstanding provision License, modify Program, modified version must prominently offer users interacting remotely computer network (version supports interaction) opportunity receive Corresponding Source version providing access Corresponding Source network server charge, standard customary means facilitating copying software. Corresponding Source shall include Corresponding Source work covered version 3 GNU General Public License incorporated pursuant following paragraph. Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU General Public License single combined work, convey resulting work. terms License continue apply part covered work, work combined remain governed version 3 GNU General Public License.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_14-revised-versions-of-this-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"14. Revised Versions of this License.","title":"GNU Affero General Public License","text":"Free Software Foundation may publish revised /new versions GNU Affero General Public License time time. new versions similar spirit present version, may differ detail address new problems concerns. version given distinguishing version number. Program specifies certain numbered version GNU Affero General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU Affero General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU Affero General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty.","title":"GNU Affero General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. EXCEPT OTHERWISE STATED WRITING COPYRIGHT HOLDERS /PARTIES PROVIDE PROGRAM “” WITHOUT WARRANTY KIND, EITHER EXPRESSED IMPLIED, INCLUDING, LIMITED , IMPLIED WARRANTIES MERCHANTABILITY FITNESS PARTICULAR PURPOSE. ENTIRE RISK QUALITY PERFORMANCE PROGRAM . PROGRAM PROVE DEFECTIVE, ASSUME COST NECESSARY SERVICING, REPAIR CORRECTION.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability.","title":"GNU Affero General Public License","text":"EVENT UNLESS REQUIRED APPLICABLE LAW AGREED WRITING COPYRIGHT HOLDER, PARTY MODIFIES /CONVEYS PROGRAM PERMITTED , LIABLE DAMAGES, INCLUDING GENERAL, SPECIAL, INCIDENTAL CONSEQUENTIAL DAMAGES ARISING USE INABILITY USE PROGRAM (INCLUDING LIMITED LOSS DATA DATA RENDERED INACCURATE LOSSES SUSTAINED THIRD PARTIES FAILURE PROGRAM OPERATE PROGRAMS), EVEN HOLDER PARTY ADVISED POSSIBILITY DAMAGES.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_17-interpretation-of-sections-15-and-16","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"17. Interpretation of Sections 15 and 16.","title":"GNU Affero General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU Affero General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. software can interact users remotely computer network, also make sure provides way users get source. example, program web application, interface display “Source” link leads users archive code. many ways offer source, different solutions better different programs; see section 13 specific requirements. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU AGPL, see https://www.gnu.org/licenses/.","code":"     Copyright (C)         This program is free software: you can redistribute it and/or modify     it under the terms of the GNU Affero General Public License as     published by the Free Software Foundation, either version 3 of the     License, or (at your option) any later version.      This program is distributed in the hope that it will be useful,     but WITHOUT ANY WARRANTY; without even the implied warranty of     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the     GNU Affero General Public License for more details.      You should have received a copy of the GNU Affero General Public License     along with this program.  If not, see ."},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"sdms-with-tidymodels","dir":"Articles","previous_headings":"","what":"SDMs with tidymodels","title":"tidysdm overview","text":"Species Distribution Modelling relies several algorithms, many number hyperparameters require turning. tidymodels universe includes number packages specifically design fit, tune validate models. advantage tidymodels models syntax results returned users standardised, thus providing coherent interface modelling. Given variety models required SDM, tidymodels ideal framework. tidysdm provides number wrappers specialised functions facilitate fitting SDM tidymodels. article provides overview tidysdm facilitates fitting SDMs. articles, detailing use package palaeodata, fitting complex models troubleshoot models can found tidisdm website. tidysdm relies tidymodels, users advised familiarise introductory tutorials tidymodels website. load tidysdm, automatically loads tidymodels associated packages necessary fit models:","code":"library(tidysdm) #> Loading required package: tidymodels #> ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── #> ✔ broom        1.0.7     ✔ recipes      1.1.0 #> ✔ dials        1.3.0     ✔ rsample      1.2.1 #> ✔ dplyr        1.1.4     ✔ tibble       3.2.1 #> ✔ ggplot2      3.5.1     ✔ tidyr        1.3.1 #> ✔ infer        1.0.7     ✔ tune         1.2.1 #> ✔ modeldata    1.4.0     ✔ workflows    1.1.4 #> ✔ parsnip      1.2.1     ✔ workflowsets 1.1.0 #> ✔ purrr        1.0.2     ✔ yardstick    1.3.1 #> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter()  masks stats::filter() #> ✖ dplyr::lag()     masks stats::lag() #> ✖ recipes::step()  masks stats::step() #> • Search for functions across packages at https://www.tidymodels.org/find/ #> Loading required package: spatialsample"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"accessing-the-data-for-this-vignette-how-to-use-rgbif","dir":"Articles","previous_headings":"SDMs with tidymodels","what":"Accessing the data for this vignette: how to use rgbif","title":"tidysdm overview","text":"start reading set presences species lizard inhabits Iberian peninsula, Lacerta schreiberi. data taken GBIF Occurrence Download (6 July 2023) https://doi.org/10.15468/dl.srq3b3. dataset already included tidysdm package: Alternatively, can easily access manipulate dataset using rbgif. Note data GBIF often requires level cleaning. use simple cleaning function CoordinateCleaner; general, recommend inspect data flagged problematic, rather just accepting :","code":"data(lacerta) head(lacerta) #> # A tibble: 6 × 3 #>          ID latitude longitude #>                 #> 1 858029749     42.6     -7.09 #> 2 858029738     42.6     -7.09 #> 3 614631090     41.4     -7.90 #> 4 614631085     41.3     -7.81 #> 5 614631083     41.3     -7.81 #> 6 614631080     41.4     -7.83 # download presences library(rgbif) occ_download_get(key = \"0068808-230530130749713\", path = tempdir()) # read file library(readr) distrib <- read_delim(file.path(tempdir(), \"0068808-230530130749713.zip\")) # keep the necessary columns and rename them lacerta <- distrib %>% select(gbifID, decimalLatitude, decimalLongitude) %>%   rename(ID = gbifID, latitude = decimalLatitude, longitude = decimalLongitude) # clean up the data library(CoordinateCleaner) lacerta <- clean_coordinates(x = lacerta,                            lon = \"longitude\",                            lat = \"latitude\",                            species = \"ID\",                            value = \"clean\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"preparing-your-data","dir":"Articles","previous_headings":"","what":"Preparing your data","title":"tidysdm overview","text":"First, let us visualise presences plotting map. tidysdm works sf objects represent locations, cast coordinates sf object, set projections standard ‘lonlat’ (crs = 4326). usually advisable plot locations directly raster used extract climatic variables, see locations fall within discrete space raster. vignette, use WorldClim source climatic information. access WorldClim data via library pastclim; even though library, name suggests, mostly designed handle palaeoclimatic reconstructions, also provides convenient functions access present day reconstructions future projections. pastclim handy function get land mask available datasets, can use background locations. cut raster Iberian peninsula, lizard lives. simply illustration, bother project raster, equal area projection desirable… plotting, take advantage tidyterra, makes handling terra rasters ggplot breeze.","code":"library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE lacerta <- st_as_sf(lacerta, coords = c(\"longitude\", \"latitude\")) st_crs(lacerta) <- 4326 library(pastclim) download_dataset(dataset = \"WorldClim_2.1_10m\") land_mask <-   get_land_mask(time_ce = 1985, dataset = \"WorldClim_2.1_10m\")  # Iberia peninsula extension iberia_poly <-   terra::vect(     \"POLYGON((-9.8 43.3,-7.8 44.1,-2.0 43.7,3.6 42.5,3.8 41.5,1.3 40.8,0.3 39.5,      0.9 38.6,-0.4 37.5,-1.6 36.7,-2.3 36.3,-4.1 36.4,-4.5 36.4,-5.0 36.1,     -5.6 36.0,-6.3 36.0,-7.1 36.9,-9.5 36.6,-9.4 38.0,-10.6 38.9,-9.5 40.8,     -9.8 43.3))\"   )  crs(iberia_poly) <- \"lonlat\" # crop the extent land_mask <- crop(land_mask, iberia_poly) # and mask to the polygon land_mask <- mask(land_mask, iberia_poly) #> Loading required package: terra #> terra 1.7.83 #>  #> Attaching package: 'terra' #> The following object is masked from 'package:tidyr': #>  #>     extract #> The following object is masked from 'package:scales': #>  #>     rescale #> [1] TRUE library(tidyterra) #>  #> Attaching package: 'tidyterra' #> The following object is masked from 'package:stats': #>  #>     filter library(ggplot2) ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta) +    guides(fill=\"none\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"thinning-step","dir":"Articles","previous_headings":"","what":"Thinning step","title":"tidysdm overview","text":"Now, thin observations one per cell raster (better equal area projection…):  Now, thin remove points closer 20km. However, note standard map units ‘lonlat’ projection meters. tidysdm provides convening conversion function, km2m(), avoid write lots zeroes): Let’s see left points:  now need select points represent potential available area species. two approaches, can either sample background sample_background(), can generate pseudo-absences sample_pseudoabs(). example, sample background; specifically, attempt account potential sampling biases using target group approach, presences species within taxonomic group used condition sampling background, providing information differential sampling different areas within region interest. start downloading records 8 genera Lacertidae, covering geographic region Iberian peninsula GBIF https://doi.org/10.15468/dl.53js5z: need convert observations raster whose values number records (later used determine likely cell used background point):  can see sampling far random, certain locations large number records. can now sample background, using ‘bias’ method represent heterogeneity sampling effort: Let’s see presences background:  can use pastclim download WorldClim dataset (’ll use 10 arc-minute resolution) extract bioclimatic variables available (use pastclim, use raster dataset access , loading directly terra). Note dataset covers period 1970-2000, pastclim dates 1985 (midpoint). also cropped directly Iberian peninsula. Note , vignette, focus continuous variables; machine learning algorithms natively cope multi-level factors, possible use recipes::step_dummy() generate dummy variables factors. worked example can found article additional features tidymodels tidysdm. Next, extract climate presences background points: Based paper (https://doi.org/10.1007/s10531-010-9865-2), interested variables: “bio06”, “bio05”, “bio13”, “bio14”, “bio15”. can visualise differences presences background using violin plots: can see variables interest seem different distribution presences background. can formally quantify mismatch two computing overlap: , can see variables interest seem good candidates clear signal. Let us focus variables: Environmental variables often highly correlated, collinearity issue several types models. can inspect correlation among variables :  can see variables rather high correlation (e.g. bio05 vs bio14). can subset variables certain threshold correlation (e.g. 0.7) : , removing bio14 leaves us set uncorrelated variables. Note filter_collinear methods based variable inflation also worth exploring. example, remove bio14 work remaining variables.","code":"set.seed(1234567) lacerta <- thin_by_cell(lacerta, raster = land_mask) nrow(lacerta) #> [1] 226 ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta) +    guides(fill=\"none\") set.seed(1234567) lacerta_thin <- thin_by_dist(lacerta, dist_min = km2m(20)) nrow(lacerta_thin) #> [1] 111 ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta_thin) +   guides(fill=\"none\") library(rgbif) occ_download_get(key = \"0121761-240321170329656\", path = tempdir()) library(readr) backg_distrib <- readr::read_delim(file.path(tempdir(),                                               \"0121761-240321170329656.zip\")) # keep the necessary columns lacertidae_background <- backg_distrib %>%    select(gbifID, decimalLatitude, decimalLongitude) %>%   rename(ID = gbifID, latitude = decimalLatitude, longitude = decimalLongitude) # convert to an sf object lacertidae_background <- st_as_sf(lacertidae_background,                                    coords = c(\"longitude\", \"latitude\")) st_crs(lacertidae_background) <- 4326 lacertidae_background_raster <- rasterize(lacertidae_background, land_mask,                                            fun = \"count\")  plot(lacertidae_background_raster) set.seed(1234567) lacerta_thin <- sample_background(data = lacerta_thin, raster = lacertidae_background_raster,                   n = 3 * nrow(lacerta_thin),                   method = \"bias\",                   class_label = \"background\",                   return_pres = TRUE) ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta_thin, aes(col = class)) +    guides(fill=\"none\") download_dataset(\"WorldClim_2.1_10m\") climate_vars <- get_vars_for_dataset(\"WorldClim_2.1_10m\") climate_present <- pastclim::region_slice(   time_ce = 1985,   bio_variables = climate_vars,   data = \"WorldClim_2.1_10m\",   crop = iberia_poly ) lacerta_thin <- lacerta_thin %>%   bind_cols(terra::extract(climate_present, lacerta_thin, ID = FALSE)) lacerta_thin %>% plot_pres_vs_bg(class) lacerta_thin %>% dist_pres_vs_bg(class) #>      bio09      bio12      bio16      bio19      bio13      bio05      bio10  #> 0.43907819 0.41888524 0.41487381 0.40742724 0.40492411 0.38854703 0.38610145  #>      bio02      bio07      bio04      bio08      bio17      bio15      bio18  #> 0.35191109 0.35036167 0.32450555 0.31879785 0.28143659 0.27152095 0.25007068  #>      bio01      bio14      bio03      bio11   altitude      bio06  #> 0.24589097 0.24294699 0.18414624 0.11169528 0.07271380 0.06742951 suggested_vars <- c(\"bio06\", \"bio05\", \"bio13\", \"bio14\", \"bio15\") pairs(climate_present[[suggested_vars]]) climate_present <- climate_present[[suggested_vars]]  vars_uncor <- filter_collinear(climate_present, cutoff = 0.7, method = \"cor_caret\") vars_uncor #> [1] \"bio15\" \"bio05\" \"bio13\" \"bio06\" #> attr(,\"to_remove\") #> [1] \"bio14\" lacerta_thin <- lacerta_thin %>% select(all_of(c(vars_uncor, \"class\"))) climate_present <- climate_present[[vars_uncor]] names(climate_present) # added to highlight which variables are retained in the end #> [1] \"bio15\" \"bio05\" \"bio13\" \"bio06\""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"fit-the-model-by-cross-validation","dir":"Articles","previous_headings":"","what":"Fit the model by cross-validation","title":"tidysdm overview","text":"Next, need set recipe define handle dataset. don’t want anything data terms transformations, just need define formula (class outcome, variables predictors; note , sf objects, geometry automatically replaced X Y columns assigned role coords, thus used predictors): classification models tidymodels, assumption level interest response (case, presences) reference level. can confirm data correctly formatted : now build workflow_set different models, defining hyperparameters want tune. use glm, random forest, boosted_trees maxent models (details use workflow_sets, see tutorial). latter three models tunable hyperparameters. commonly used models, tidysdm automatically chooses important parameters, possible fully customise model specifications (e.g. see help sdm_spec_rf). Note , used GAMs sdm_spec_gam(), necessary update model gam_formula() due non-standard formula notation GAMs (see help sdm_spec_gam() example ). now want set spatial block cross-validation scheme tune assess models. split data creating 3 folds. use spatial_block_cv function package spatialsample. spatialsample offers number sampling approaches spatial data; also possible convert objects created blockCV (offers features spatial sampling, stratified sampling) rsample object suitable tisysdm function blockcv2rsample.  can now use block CV folds tune assess models (keep computations fast, explore 3 combination hyperparameters per model; far little real life!): Note workflow_set correctly detects tuning parameters glm. can look performance models :  Now let’s create ensemble, selecting best set parameters model (really relevant random forest, hype-parameters tune glm gam). use Boyce continuous index metric choose best random forest boosted tree. adding members ensemble, automatically fitted full training dataset, ready make predictions. visualise  tabular form model metrics can obtained :","code":"lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) lacerta_rec #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:   1 #> predictor: 4 #> coords:    2 lacerta_thin %>% check_sdm_presence(class) #> [1] TRUE lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf(),       # boosted tree model (gbm) specs with tuning       gbm = sdm_spec_boost_tree(),       # maxent specs with tuning       maxent = sdm_spec_maxent()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) library(tidysdm) set.seed(100) #lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5)  lacerta_cv <- spatial_block_cv(data = lacerta_thin, v = 3, n = 5) autoplot(lacerta_cv) set.seed(1234567) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 4 resampling: default_glm #> ✔ 1 of 4 resampling: default_glm (190ms) #> i 2 of 4 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 2 of 4 tuning:     default_rf (848ms) #> i 3 of 4 tuning:     default_gbm #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 3 of 4 tuning:     default_gbm (4s) #> i 4 of 4 tuning:     default_maxent #> ✔ 4 of 4 tuning:     default_maxent (1.2s) autoplot(lacerta_models) lacerta_ensemble <- simple_ensemble() %>%   add_member(lacerta_models, metric = \"boyce_cont\") lacerta_ensemble #> A simple_ensemble of models #>  #> Members: #> • default_glm #> • default_rf #> • default_gbm #> • default_maxent #>  #> Available metrics: #> • boyce_cont #> • roc_auc #> • tss_max #>  #> Metric used to tune workflows: #> • boyce_cont autoplot(lacerta_ensemble) lacerta_ensemble %>% collect_metrics() #> # A tibble: 12 × 5 #>    wflow_id       .metric     mean std_err     n #>                         #>  1 default_glm    boyce_cont 0.573 0.115       3 #>  2 default_glm    roc_auc    0.775 0.0138      3 #>  3 default_glm    tss_max    0.486 0.0337      3 #>  4 default_rf     boyce_cont 0.709 0.0856      3 #>  5 default_rf     roc_auc    0.794 0.00648     3 #>  6 default_rf     tss_max    0.537 0.0363      3 #>  7 default_gbm    boyce_cont 0.659 0.0472      3 #>  8 default_gbm    roc_auc    0.789 0.00707     3 #>  9 default_gbm    tss_max    0.524 0.0152      3 #> 10 default_maxent boyce_cont 0.651 0.157       3 #> 11 default_maxent roc_auc    0.804 0.00653     3 #> 12 default_maxent tss_max    0.572 0.0111      3"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"projecting-to-the-present","dir":"Articles","previous_headings":"","what":"Projecting to the present","title":"tidysdm overview","text":"can now make predictions ensemble (using default option taking mean predictions model).  can subset ensemble use best models, based Boyce continuous index, setting minimum threshold 0.7 metric. also take median available model predictions (instead mean, default). plot change much (models quite consistent).  Sometimes, desirable binary predictions (presence vs absence), rather probability occurrence. , first need calibrate threshold used convert probabilities classes (case, optimise TSS): now can predict whole continent:","code":"prediction_present <- predict_raster(lacerta_ensemble, climate_present) ggplot() +   geom_spatraster(data = prediction_present, aes(fill = mean)) +   scale_fill_terrain_c() +   # plot presences used in the model   geom_sf(data = lacerta_thin %>% filter(class == \"presence\")) prediction_present_boyce <- predict_raster(lacerta_ensemble, climate_present,   metric_thresh = c(\"boyce_cont\", 0.7),   fun = \"median\" ) ggplot() +   geom_spatraster(data = prediction_present_boyce, aes(fill = median)) +   scale_fill_terrain_c() +   geom_sf(data = lacerta_thin %>% filter(class == \"presence\")) lacerta_ensemble <- calib_class_thresh(lacerta_ensemble,   class_thresh = \"tss_max\",    metric_thresh = c(\"boyce_cont\", 0.7) ) prediction_present_binary <- predict_raster(lacerta_ensemble,   climate_present,   type = \"class\",   class_thresh = c(\"tss_max\"),    metric_thresh = c(\"boyce_cont\", 0.7) ) ggplot() +   geom_spatraster(data = prediction_present_binary, aes(fill = binary_mean)) +   geom_sf(data = lacerta_thin %>% filter(class == \"presence\")) +    scale_fill_discrete(na.value = \"transparent\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"projecting-to-the-future","dir":"Articles","previous_headings":"","what":"Projecting to the future","title":"tidysdm overview","text":"WorldClim wide selection projections future based different models Shared Socio-economic Pathways (SSP). Type help(\"WorldClim_2.1\") full list. use predictions based “HadGEM3-GC31-LL” model SSP 245 (intermediate green house gas emissions) resolution present day data (10 arc-minutes). first download data: Let’s see times available: predict 2090, prediction future available. Let’s now check available variables: Note future predictions include altitude (change time), needed , copy present. However, set uncorrelated variables used earlier, don’t need worry . predict using ensemble:","code":"download_dataset(\"WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m\") get_time_ce_steps(\"WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m\") #> [1] 2030 2050 2070 2090 get_vars_for_dataset(\"WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m\") #>  [1] \"bio01\" \"bio02\" \"bio03\" \"bio04\" \"bio05\" \"bio06\" \"bio07\" \"bio08\" \"bio09\" #> [10] \"bio10\" \"bio11\" \"bio12\" \"bio13\" \"bio14\" \"bio15\" \"bio16\" \"bio17\" \"bio18\" #> [19] \"bio19\" climate_future <- pastclim::region_slice(   time_ce = 2090,   bio_variables = vars_uncor,   data = \"WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m\",   crop = iberia_poly ) prediction_future <- predict_raster(lacerta_ensemble, climate_future)  ggplot() +   geom_spatraster(data = prediction_future, aes(fill = mean)) +   scale_fill_terrain_c()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"dealing-with-extrapolation","dir":"Articles","previous_headings":"","what":"Dealing with extrapolation","title":"tidysdm overview","text":"total area projection model may include environmental conditions lie outside range conditions covered calibration dataset. phenomenon can lead misinterpretation SDM outcomes due spatial extrapolation. tidysdm offers couple approaches deal problem. simplest one can clamp environmental variables stay within limits observed calibration set:  predictions seem changed little. alternative allow values exceed ranges calibration set, compute Multivariate environmental similarity surfaces (MESS) (Elith et al. 2010) highlight areas extrapolation occurs thus visualise prediction’s uncertainty. estimate MESS future time slice used :  Extrapolation occurs areas MESS values negative, magnitude negative values indicating extreme interpolation. plot, can see area extrapolation model already predicted suitability zero. explains clamping little predictions. can now overlay MESS values current prediction visualize areas characterized spatial extrapolation.  Note clamping MESS useful making predictions future, also past present (latter case, allows us make sure background/pseudoabsences cover full range predictor variables area interest). tidymodels universe also includes functions estimate area applicability package waywiser, can used tidysdm.","code":"climate_future_clamped <- clamp_predictors(climate_future,                                             training = lacerta_thin,                                            .col= class) prediction_future_clamped <- predict_raster(lacerta_ensemble,                                              raster = climate_future_clamped)  ggplot() +   geom_spatraster(data = prediction_future_clamped, aes(fill = mean)) +   scale_fill_terrain_c() lacerta_mess_future <- extrapol_mess(x = climate_future,                                        training = lacerta_thin,                                        .col = \"class\")  ggplot() + geom_spatraster(data = lacerta_mess_future) +    scale_fill_viridis_b(na.value = \"transparent\") # subset mess  lacerta_mess_future_subset <- lacerta_mess_future lacerta_mess_future_subset[lacerta_mess_future_subset >= 0] <- NA lacerta_mess_future_subset[lacerta_mess_future_subset < 0] <- 1  # convert into polygon lacerta_mess_future_subset <- as.polygons(lacerta_mess_future_subset)  # plot as a mask  ggplot() + geom_spatraster(data = prediction_future) +    scale_fill_viridis_b(na.value = \"transparent\") +    geom_sf(data = lacerta_mess_future_subset,            fill= \"lightgray\", alpha = 0.5, linewidth = 0.5)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"visualising-the-contribution-of-individual-variables","dir":"Articles","previous_headings":"","what":"Visualising the contribution of individual variables","title":"tidysdm overview","text":"sometimes interest understand relative contribution individual variables prediction. complex task, especially interactions among variables. simpler linear models, possible obtain marginal response curves (show effect variable whilst keeping variables mean) using step_profile() recipes package. use step_profile() define new recipe can bake generate appropriate dataset make marginal prediction. can plot predictions values variable interest. example, investigate contribution bio05, :  also possible use DALEX,explore tidysdm models; see details tidymodels additions article.","code":"bio05_prof <- lacerta_rec %>%   step_profile(-bio05, profile = vars(bio05)) %>%   prep(training = lacerta_thin)  bio05_data <- bake(bio05_prof, new_data = NULL)  bio05_data <- bio05_data %>%   mutate(     pred = predict(lacerta_ensemble, bio05_data)$mean   )  ggplot(bio05_data, aes(x = bio05, y = pred)) +   geom_point(alpha = .5, cex = 1)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"repeated-ensembles","dir":"Articles","previous_headings":"","what":"Repeated ensembles","title":"tidysdm overview","text":"steps thinning sampling pseudo-absences can bit impact performance SDMs. steps stochastic, good practice explore effect repeating , creating ensembles models repeats. tidysdm, possible create repeat_ensembles. start creating list simple_ensembles, looping SDM pipeline. just use two fast models speed process. Now can create repeat_ensemble list: can summarise goodness fit models repeat collect_metrics(), autoplot() function repeated_ensemble objects. can predict usual way (take mean median models):","code":"# empty object to store the simple ensembles that we will create ensemble_list <- list() set.seed(123) # make sure you set the seed OUTSIDE the loop for (i_repeat in 1:3) {   # thin the data   lacerta_thin_rep <- thin_by_cell(lacerta, raster = climate_present)   lacerta_thin_rep <- thin_by_dist(lacerta_thin_rep, dist_min = 20000)   # sample pseudo-absences   lacerta_thin_rep <- sample_pseudoabs(lacerta_thin_rep,     n = 3 * nrow(lacerta_thin_rep),     raster = climate_present,     method = c(\"dist_min\", 50000)   )   # get climate   lacerta_thin_rep <- lacerta_thin_rep %>%     bind_cols(terra::extract(climate_present, lacerta_thin_rep, ID = FALSE))   # create folds   lacerta_thin_rep_cv <- spatial_block_cv(lacerta_thin_rep, v = 5)   # create a recipe   lacerta_thin_rep_rec <- recipe(lacerta_thin_rep, formula = class ~ .)   # create a workflow_set   lacerta_thin_rep_models <-     # create the workflow_set     workflow_set(       preproc = list(default = lacerta_thin_rep_rec),       models = list(         # the standard glm specs         glm = sdm_spec_glm(),         # maxent specs with tuning         maxent = sdm_spec_maxent()       ),       # make all combinations of preproc and models,       cross = TRUE     ) %>%     # tweak controls to store information needed later to create the ensemble     option_add(control = control_ensemble_grid())    # train the model   lacerta_thin_rep_models <-     lacerta_thin_rep_models %>%     workflow_map(\"tune_grid\",       resamples = lacerta_thin_rep_cv, grid = 10,       metrics = sdm_metric_set(), verbose = TRUE     )   # make an simple ensemble and add it to the list   ensemble_list[[i_repeat]] <- simple_ensemble() %>%     add_member(lacerta_thin_rep_models, metric = \"boyce_cont\") } #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (226ms) #> i 2 of 2 tuning:     default_maxent #> ✔ 2 of 2 tuning:     default_maxent (7.1s) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (226ms) #> i 2 of 2 tuning:     default_maxent #> ✔ 2 of 2 tuning:     default_maxent (6.8s) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (225ms) #> i 2 of 2 tuning:     default_maxent #> ✔ 2 of 2 tuning:     default_maxent (7.4s) lacerta_rep_ens <- repeat_ensemble() %>% add_repeat(ensemble_list) lacerta_rep_ens #> A repeat_ensemble of models #>  #> Number of repeats: #> • 3 #>  #> Members: #> • default_glm #> • default_maxent #>  #> Available metrics: #> • boyce_cont #> • roc_auc #> • tss_max #>  #> Metric used to tune workflows: #> • boyce_cont lacerta_rep_ens <- predict_raster(lacerta_rep_ens, climate_present,   fun = c(\"mean\", \"median\") ) ggplot() +   geom_spatraster(data = lacerta_rep_ens, aes(fill = median)) +   scale_fill_terrain_c()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a1_palaeodata_application.html","id":"sdms-with-tidymodels-for-palaeo-data","dir":"Articles","previous_headings":"","what":"SDMs with tidymodels for palaeo data","title":"Application with palaeodata","text":"article, show Species Distribution Model can fitted tidysdm time-scattered (.e.palaeontological, archaeozoological, archaeological) data, samples covering different time periods. recommend users first read “tidysdm overview” article, introduces number functions concepts used present article. first load tidysdm:","code":"library(tidysdm) #> Loading required package: tidymodels #> ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── #> ✔ broom        1.0.7     ✔ recipes      1.1.0 #> ✔ dials        1.3.0     ✔ rsample      1.2.1 #> ✔ dplyr        1.1.4     ✔ tibble       3.2.1 #> ✔ ggplot2      3.5.1     ✔ tidyr        1.3.1 #> ✔ infer        1.0.7     ✔ tune         1.2.1 #> ✔ modeldata    1.4.0     ✔ workflows    1.1.4 #> ✔ parsnip      1.2.1     ✔ workflowsets 1.1.0 #> ✔ purrr        1.0.2     ✔ yardstick    1.3.1 #> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter()  masks stats::filter() #> ✖ dplyr::lag()     masks stats::lag() #> ✖ recipes::step()  masks stats::step() #> • Use tidymodels_prefer() to resolve common conflicts. #> Loading required package: spatialsample"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a1_palaeodata_application.html","id":"preparing-your-data","dir":"Articles","previous_headings":"","what":"Preparing your data","title":"Application with palaeodata","text":"start loading set radiocarbon dates (calibrated) horses, covering 22k years ago 8k years ago. convert dataset sf data.frame can easily plot (tidyterra shines): background presences, use land mask present, taken pastclim, cut cover Europe: use tidyterra plot:  now thin presences, locations 100km 2000 years apart. see left:  now need time series palaeoclimate reconstructions. vignette, use example dataset pastclim. dataset reconstructions every 5k years past 20k years 1 degree resolution, 3 bioclimatic variables. suffice illustrative purposes, recommend download higher quality datasets pastclim real analysis. land mask, cut reconstructions cover Europe : Now thin observations keep one per cell raster (better equal area projection…), remove locations outside desired area (): Let’s see left points:  Now sample pseudo-absences (constraint least 70km away presences), selecting three times number presences Let’s see presences absences:  Now let’s get climate location. pastclim requires data frame two columns coordinates column time years present (negative values represent time past). manipulate sf object accordingly:","code":"data(horses) horses #> # A tibble: 788 × 3 #>    latitude longitude time_bp #>                #>  1     43.2     -2.04  -14000 #>  2     43.2     -2.04  -14000 #>  3     43.2     -2.04  -14000 #>  4     43.2     -2.04  -14000 #>  5     43.2     -2.04  -16000 #>  6     43.3     -1.89  -16000 #>  7     43.2     -2.2   -14000 #>  8     43.2     -2.2   -19000 #>  9     43.2     -2.2   -20000 #> 10     43.2     -2.2   -21000 #> # ℹ 778 more rows library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE horses <- st_as_sf(horses, coords = c(\"longitude\", \"latitude\")) st_crs(horses) <- 4326 #> Loading required package: terra #> terra 1.7.83 #>  #> Attaching package: 'terra' #> The following object is masked from 'package:tidyr': #>  #>     extract #> The following object is masked from 'package:scales': #>  #>     rescale library(pastclim) land_mask <- pastclim::get_land_mask(time_bp = 0, dataset = \"Example\") europe_poly <- vect(region_outline$Europe) crs(europe_poly) <- \"lonlat\" land_mask <- crop(land_mask, europe_poly) land_mask <- mask(land_mask, europe_poly) library(tidyterra) #>  #> Attaching package: 'tidyterra' #> The following object is masked from 'package:stats': #>  #>     filter ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_0)) +   geom_sf(data = horses, aes(col = time_bp)) set.seed(123) horses <- thin_by_dist_time(horses,   dist_min = km2m(100),   interval_min = y2d(2000),   time_col = \"time_bp\",   lubridate_fun = pastclim::ybp2date ) nrow(horses) #> [1] 185 ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_0)) +   geom_sf(data = horses, aes(col = time_bp)) library(pastclim) climate_vars <- c(\"bio01\", \"bio10\", \"bio12\") climate_full <- pastclim::region_series(   bio_variables = climate_vars,   data = \"Example\",   crop = region_outline$Europe ) set.seed(123) horses <- thin_by_cell_time(horses,   raster = climate_full,   time_col = \"time_bp\",   lubridate_fun = pastclim::ybp2date ) nrow(horses) #> [1] 138 ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_0)) +   geom_sf(data = horses, aes(col = time_bp)) set.seed(123) horses <- sample_pseudoabs_time(horses,   n_per_presence = 3,   raster = climate_full,   time_col = \"time_bp\",   lubridate_fun = pastclim::ybp2date,   method = c(\"dist_min\", km2m(70)) ) ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_0)) +   geom_sf(data = horses, aes(col = class)) horses_df <- horses %>%   dplyr::bind_cols(sf::st_coordinates(horses)) %>%   mutate(time_bp = date2ybp(time_step)) %>%   as.data.frame() %>%   select(-geometry) # get climate horses_df <- location_slice_from_region_series(horses_df,   region_series = climate_full )  # add the climate reconstructions to the sf object, and remove the time_step # as we don't need it for modelling horses <- horses %>%   bind_cols(horses_df[, climate_vars]) %>%   select(-time_step)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a1_palaeodata_application.html","id":"fit-the-model-by-crossvalidation","dir":"Articles","previous_headings":"","what":"Fit the model by crossvalidation","title":"Application with palaeodata","text":"Next, need set recipe define handle dataset. don’t want transform data, just need define formula (class outcome, variables predictors; note , sf objects, geometry automatically ignored predictor): can quickly check variables want : now build workflow_set different models, defining hyperparameters want tune. use glm, gam, random forest boosted trees models, random forest boosted trees tunable hyperparameters. commonly used models, tidysdm automatically chooses important parameters, possible fully customise model specifications. Note gams unusual, need specify formula define variables fit smooths. default, gam_formula() fits smooth every continuous predictor, custom formula can provided instead. now want set spatial block cross-validation scheme tune assess models:  can now use block CV folds tune assess models: Note workflow_set correctly detects tuning parameters glm gam. can look performance models :  Now let’s create ensemble, selecting best set parameters model (really relevant random forest, hype-parameters tune glm gam). use Boyce continuous index metric choose best random forest boosted tree. adding members ensemble, automatically fitted full training dataset, ready make predictions. visualise ","code":"horses_rec <- recipe(horses, formula = class ~ .) horses_rec #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:   1 #> predictor: 3 #> coords:    2 horses_rec$var_info #> # A tibble: 6 × 4 #>   variable type      role      source   #>                    #> 1 bio01     predictor original #> 2 bio10     predictor original #> 3 bio12     predictor original #> 4 X         coords    original #> 5 Y         coords    original #> 6 class     outcome   original horses_models <-   # create the workflow_set   workflow_set(     preproc = list(default = horses_rec),     models = list(       # the standard glm specs  (no params to tune)       glm = sdm_spec_glm(),       # the standard sdm specs (no params to tune)       gam = sdm_spec_gam(),       # rf specs with tuning       rf = sdm_spec_rf(),       # boosted tree model (gbm) specs with tuning       gbm = sdm_spec_boost_tree()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # set formula for gams   update_workflow_model(\"default_gam\",     spec = sdm_spec_gam(),     formula = gam_formula(horses_rec)   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) library(tidysdm) set.seed(1005) horses_cv <- spatial_block_cv(horses, v = 5) autoplot(horses_cv) set.seed(123) horses_models <-   horses_models %>%   workflow_map(\"tune_grid\",     resamples = horses_cv, grid = 5,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 4 resampling: default_glm #> ✔ 1 of 4 resampling: default_glm (258ms) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 2 of 4 resampling: default_gam #> ✔ 2 of 4 resampling: default_gam (671ms) #> i 3 of 4 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 3 of 4 tuning:     default_rf (2.5s) #> i 4 of 4 tuning:     default_gbm #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 4 of 4 tuning:     default_gbm (15.2s) autoplot(horses_models) horses_ensemble <- simple_ensemble() %>%   add_member(horses_models, metric = \"boyce_cont\") autoplot(horses_ensemble)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a1_palaeodata_application.html","id":"projecting-to-other-times","dir":"Articles","previous_headings":"","what":"Projecting to other times","title":"Application with palaeodata","text":"can now make predictions ensemble (using default option taking mean predictions model) Last Glacial Maximum (LGM, 21,000 years ago). predict using ensemble:","code":"climate_lgm <- pastclim::region_slice(   time_bp = -20000,   bio_variables = climate_vars,   data = \"Example\",   crop = region_outline$Europe ) prediction_lgm <- predict_raster(horses_ensemble, climate_lgm) ggplot() +   geom_spatraster(data = prediction_lgm, aes(fill = mean)) +   scale_fill_terrain_c()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"exploring-models-with-dalex","dir":"Articles","previous_headings":"","what":"Exploring models with DALEX","title":"Examples of additional tidymodels features","text":"issue machine learning algorithms easy understand role different variables giving final prediction. number packages created explore explain behaviour ML algorithms, used tidysdm. tidysdm overview article, illustrated use recipes create profiles. demonstrate use DALEX, excellent package methods deal tidymodels. tidysdm contains additional functions allow use use DALEX functions directly tidysdm ensembles. use simple ensemble built overview vignette. first step DALEX create explainer object, can queried different functions package, turn explainer explanation (following DALEX lingo). first step, use custom function explain_tidysdm generate explainer: Now explainer, can explore variable importance ensemble:  generate partial dependency plots given variable (e.g. bio05):  many functions DALEX can applied explainer explore behaviour model; see several tutorial https://modeloriented.github.io/DALEX/ also possible explore individual models make ensemble: resulting list can used build lists explanations, can plotted.","code":"library(tidysdm) #> Loading required package: tidymodels #> ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── #> ✔ broom        1.0.7     ✔ recipes      1.1.0 #> ✔ dials        1.3.0     ✔ rsample      1.2.1 #> ✔ dplyr        1.1.4     ✔ tibble       3.2.1 #> ✔ ggplot2      3.5.1     ✔ tidyr        1.3.1 #> ✔ infer        1.0.7     ✔ tune         1.2.1 #> ✔ modeldata    1.4.0     ✔ workflows    1.1.4 #> ✔ parsnip      1.2.1     ✔ workflowsets 1.1.0 #> ✔ purrr        1.0.2     ✔ yardstick    1.3.1 #> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter()  masks stats::filter() #> ✖ dplyr::lag()     masks stats::lag() #> ✖ recipes::step()  masks stats::step() #> • Use tidymodels_prefer() to resolve common conflicts. #> Loading required package: spatialsample lacerta_ensemble #> A simple_ensemble of models #>  #> Members: #> • default_glm #> • default_rf #> • default_gbm #> • default_maxent #>  #> Available metrics: #> • boyce_cont #> • roc_auc #> • tss_max #>  #> Metric used to tune workflows: #> • boyce_cont explainer_lacerta_ens <- explain_tidysdm(lacerta_ensemble) #> Preparation of a new explainer is initiated #>   -> model label       :  data.frame  (  default  ) #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  predict_function  #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidysdm , ver. 0.9.6.9004 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.01490969 , mean =  0.2861937 , max =  0.7169324   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.6465921 , mean =  -0.03619367 , max =  0.7891973   #>   A new explainer has been created! library(DALEX) #> Welcome to DALEX (version: 2.4.3). #> Find examples and detailed introduction at: http://ema.drwhy.ai/ #> Additional features will be available after installation of: ggpubr. #> Use 'install_dependencies()' to get all suggested dependencies #>  #> Attaching package: 'DALEX' #> The following object is masked from 'package:dplyr': #>  #>     explain vip_ensemble <- model_parts(explainer = explainer_lacerta_ens) plot(vip_ensemble) pdp_bio05 <- model_profile(explainer_lacerta_ens, N = 500, variables = \"bio05\") plot(pdp_bio05) explainer_list <- explain_tidysdm(tidysdm::lacerta_ensemble, by_workflow = TRUE) #> Preparation of a new explainer is initiated #>   -> model label       :  default_glm  #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.2280177 , mean =  0.75 , max =  0.9854359   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.9096205 , mean =  5.395921e-12 , max =  0.7719823   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_rf  #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.1315421 , mean =  0.7480648 , max =  1   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.6878921 , mean =  0.001935171 , max =  0.5870619   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_gbm  #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.3390188 , mean =  0.7314788 , max =  0.9632964   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.9268645 , mean =  0.01852121 , max =  0.6280424   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_maxent  #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.1095764 , mean =  0.6256817 , max =  0.9960248   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.8207859 , mean =  0.1243183 , max =  0.8904236   #>   A new explainer has been created! profile_list <- lapply(explainer_list, model_profile,   N = 500,   variables = \"bio05\" ) plot(profile_list)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"the-initial-split","dir":"Articles","previous_headings":"","what":"The initial split","title":"Examples of additional tidymodels features","text":"standard approach tidymodels make initial split data test training set. use retain 20% data (1/5) testing set, use rest training. start loading set presences absences associated climate, analogous one generated tidysdm overview article: use spatial_initial_split split, using spatial_block_cv scheme partition data:  check balance presences vs pseudoabsences: can now extract training set lacerta_initial split, sample folds set cross validation (note set cellsize offset based full dataset, lacerta_thin; allows us use grid used initial_split).  check balance dataset:","code":"library(tidysdm) library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) set.seed(1005) lacerta_initial <- spatial_initial_split(lacerta_thin,   prop = 1 / 5, spatial_block_cv ) autoplot(lacerta_initial) check_splits_balance(lacerta_initial, class) #> # A tibble: 1 × 4 #>   presence_test pseudoabs_test presence_train pseudoabs_train #>                                           #> 1            88            267             25              72 set.seed(1005) lacerta_training <- training(lacerta_initial) lacerta_cv <- spatial_block_cv(lacerta_training,   v = 5,   cellsize = grid_cellsize(lacerta_thin),   offset = grid_offset(lacerta_thin) ) autoplot(lacerta_cv) check_splits_balance(lacerta_cv, class) #> # A tibble: 5 × 4 #>   presence_assessment pseudoabs_assessment presence_analysis pseudoabs_analysis #>                                                             #> 1                  74                  197                14                 70 #> 2                  59                  225                29                 42 #> 3                  73                  220                15                 47 #> 4                  76                  209                12                 58 #> 5                  70                  218                18                 49"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"different-recipes-for-certain-models","dir":"Articles","previous_headings":"","what":"Different recipes for certain models","title":"Examples of additional tidymodels features","text":"certain type models (e.g. glm, svm) struggle correlated variables; algorithms, random forests, can handle correlated variables. , create two recipes, one variables, one variables uncorrelated: now use two recipes workflowset (keep small computational time), selecting appropriate recipe model. include model (polynomial support vector machines, SVM) wrapper tidysdm creating model specification. However, can use standard model spec yardstick: can now use block CV folds tune assess models. Note multiple tuning approaches, besides standard grid method. use tune_bayes tune package (see help page see Gaussian Process model used choose parameter combinations). tuning method (opposed use standard grid) allow hyper-parameters unknown limits, mtry random forest undefined upper range depends number variables dataset. , tuning, need finalise mtry informing set dials actual data: now can tune models: can look performance models :","code":"lacerta_rec_all <- recipe(lacerta_thin, formula = class ~ .) lacerta_rec_uncor <- lacerta_rec_all %>%   step_rm(all_of(c(     \"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", \"bio08\",     \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\",     \"bio17\", \"bio18\", \"bio19\", \"altitude\"   )))  lacerta_rec_uncor #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:    1 #> predictor: 20 #> coords:     2 #>  #> ── Operations #> • Variables removed: all_of(c(\"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", #>   \"bio08\", \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\", \"bio17\", #>   \"bio18\", \"bio19\", \"altitude\")) lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(       uncor = lacerta_rec_uncor, # recipe for the glm       all = lacerta_rec_all, # recipe for the random forest       all = lacerta_rec_uncor # recipe for svm     ),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf(),       # svm specs with tuning       svm = parsnip::svm_poly(         cost = tune(),         degree = tune()       ) %>%         parsnip::set_engine(\"kernlab\") %>%         parsnip::set_mode(\"classification\")     ),     # make all combinations of preproc and models,     cross = FALSE   ) %>%   # tweak controls to store information needed later to create the ensemble   # note that we use the bayes version as we will use a Bayes search (see later)   option_add(control = stacks::control_stack_bayes()) rf_param <- lacerta_models %>%   # extract the rf workflow   extract_workflow(\"all_rf\") %>%   # extract its parameters dials (used to tune)   extract_parameter_set_dials() %>%   # give it the predictors to finalize mtry   finalize(x = st_drop_geometry(lacerta_thin) %>% select(-class))  # now update the workflowset with the new parameter info lacerta_models <- lacerta_models %>%   option_add(param_info = rf_param, id = \"all_rf\") set.seed(1234567) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_bayes\",     resamples = lacerta_cv, initial = 8,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 3 resampling: uncor_glm #> ✔ 1 of 3 resampling: uncor_glm (319ms) #> i 2 of 3 tuning:     all_rf #> ! No improvement for 10 iterations; returning current results. #> ✔ 2 of 3 tuning:     all_rf (16.9s) #> i 3 of 3 tuning:     all_svm #> ✔ 3 of 3 tuning:     all_svm (19.8s) autoplot(lacerta_models)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"stack-ensembles","dir":"Articles","previous_headings":"","what":"Stack ensembles","title":"Examples of additional tidymodels features","text":"Instead building simple ensemble best version model type, can build stack ensemble, implemented package stacks. Stacking uses meta-learning algorithm learn best combine multiple models, including multiple versions algorithm different hyper-parameters.  can see three versions SVM one random forests selected; stacking coefficients give indication weight model carries within ensemble. can now use ensemble make predictions testing data: look goodness fit using commonly used sdm metrics. Note sdm_metric_set first invoked generate function (empty ()) used data. can now make predictions stacked ensemble. start extracting climate variables interest","code":"library(stacks) set.seed(1005) lacerta_stack <-   # initialize the stack   stacks() %>%   # add candidate members   add_candidates(lacerta_models) %>%   # determine how to combine their predictions   blend_predictions() %>%   # fit the candidates with non-zero weights (i.e.non-zero stacking coefficients)   fit_members()  autoplot(lacerta_stack, type = \"weights\") lacerta_testing <- testing(lacerta_initial)  lacerta_test_pred <-   lacerta_testing %>%   bind_cols(predict(lacerta_stack, ., type = \"prob\")) sdm_metric_set()(data = lacerta_test_pred, truth = class, .pred_presence) #> # A tibble: 3 × 3 #>   .metric    .estimator .estimate #>                    #> 1 boyce_cont binary         0.853 #> 2 roc_auc    binary         0.986 #> 3 tss_max    binary         0.92 download_dataset(\"WorldClim_2.1_10m\") climate_vars <- lacerta_rec_all$var_info %>%   filter(role == \"predictor\") %>%   pull(variable)  climate_present <- pastclim::region_slice(   time_ce = 1985,   bio_variables = climate_vars,   data = \"WorldClim_2.1_10m\",   crop = iberia_poly ) prediction_present <- predict_raster(lacerta_stack, climate_present,   type = \"prob\" ) library(tidyterra) #>  #> Attaching package: 'tidyterra' #> The following object is masked from 'package:stats': #>  #>     filter ggplot() +   geom_spatraster(data = prediction_present, aes(fill = .pred_presence)) +   scale_fill_terrain_c() +   # plot presences used in the model   geom_sf(data = lacerta_thin %>% filter(class == \"presence\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"using-multi-level-factors-as-predictors","dir":"Articles","previous_headings":"","what":"Using multi-level factors as predictors","title":"Examples of additional tidymodels features","text":"machine learning algorithms natively use multilevel factors predictors. solution create dummy variables, binary variables represent levels factor. tidymodels, done using step_dummy function. Let’s create factor variable 3 levels based altitude. create recipe adding step create dummy variables topography variable. Let’s us see : added two “derived” variables, topography_hills topography_mountains, binary variables allow us code topography (plains used reference level, coded hills mountains 0 given location). can look first rows data see new variables baking recipe: can now run sdm usual: can now verify dummy variables used extracting model fit one models ensemble: can see coefficients topography_hills topography_mountains. Let us now predict presence lizard Iberian Peninsula using ensemble. Note , predict_raster() work, name levels categorical variable need match used training models (.e. recipe step_dummy()):","code":"library(tidysdm) # load the dataset lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) # create a topography variable with 3 levels based on altitude lacerta_thin$topography <- cut(lacerta_thin$altitude,                 breaks = c(-Inf, 200, 800, Inf),                 labels = c(\"plains\", \"hills\", \"mountains\")) table(lacerta_thin$topography) #>  #>    plains     hills mountains  #>        82       233       137 # subset to variable of interest lacerta_thin <- lacerta_thin %>% select(class, bio05, bio06, bio12, bio15, topography)  lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) %>%   step_dummy(topography) lacerta_rec #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:   1 #> predictor: 5 #> coords:    2 #>  #> ── Operations #> • Dummy variables from: topography lacerta_prep <- prep(lacerta_rec) summary(lacerta_prep) #> # A tibble: 9 × 4 #>   variable             type      role      source   #>                                #> 1 bio05                 predictor original #> 2 bio06                 predictor original #> 3 bio12                 predictor original #> 4 bio15                 predictor original #> 5 X                     coords    original #> 6 Y                     coords    original #> 7 class                 outcome   original #> 8 topography_hills      predictor derived  #> 9 topography_mountains  predictor derived lacerta_bake <- bake(lacerta_prep, new_data = lacerta_thin) glimpse(lacerta_bake) #> Rows: 452 #> Columns: 9 #> $ bio05                 30.50350, 25.28050, 23.67800, 29.68875, 26.34075,… #> $ bio06                 1.477000, 3.631750, 0.789500, 6.048750, 1.869000,… #> $ bio12                 596, 1490, 1395, 729, 1324, 1409, 1260, 1390, 116… #> $ bio15                 50.59533, 50.07437, 47.24211, 58.88199, 51.62960,… #> $ X                     -5.394226, -8.374844, -7.886102, -8.231414, -7.17… #> $ Y                     39.48495, 41.97207, 41.89992, 39.49710, 41.78401,… #> $ class                 presence, presence, presence, presence, presence,… #> $ topography_hills      1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0… #> $ topography_mountains  0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1… # define the models lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) # tune set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 3) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (191ms) #> i 2 of 2 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 2 of 2 tuning:     default_rf (994ms) # fit the ensemble lacerta_ensemble <- simple_ensemble() %>%   add_member(lacerta_models, metric = \"boyce_cont\") lacerta_ensemble$workflow[[1]] %>% extract_fit_parsnip() #> parsnip model object #>  #>  #> Call:  stats::glm(formula = ..y ~ ., family = stats::binomial, data = data) #>  #> Coefficients: #>          (Intercept)                 bio05                 bio06   #>            -6.920024              0.635493             -0.334427   #>                bio12                 bio15      topography_hills   #>            -0.002505             -0.113106             -1.851098   #> topography_mountains   #>            -2.531259   #>  #> Degrees of Freedom: 451 Total (i.e. Null);  445 Residual #> Null Deviance:       508.4  #> Residual Deviance: 189.5     AIC: 203.5 climate_present <- terra::readRDS(system.file(\"extdata/lacerta_climate_present_10m.rds\",                                               package = \"tidysdm\")) # first we add a topography variable to the climate data climate_present$topography <- climate_present$altitude climate_present$topography <- terra::classify(climate_present$topography, rcl = c(-Inf, 200, 800, Inf), include.lowest=TRUE, brackets=TRUE) library(terra) #> terra 1.7.83 #>  #> Attaching package: 'terra' #> The following objects are masked from 'package:kernlab': #>  #>     buffer, size #> The following object is masked from 'package:tidyr': #>  #>     extract #> The following object is masked from 'package:scales': #>  #>     rescale levels(climate_present$topography)  <- data.frame(ID = c(0,1,2), topography = c(\"plains\", \"hills\", \"mountains\")) # now we can predict predict_factor <- predict_raster(lacerta_ensemble, climate_present) plot(predict_factor)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a3_troubleshooting.html","id":"nas-in-the-data","dir":"Articles","previous_headings":"","what":"NAs in the data","title":"Troubleshooting models that fail","text":"algorithms allow NAs. can generate problematic dataset loading Lacerta dataset, manually add NA: Let us set recipe fit workflow_set can see error self-explanatory. Also, note error impacts data splits (technically, rset objects): error repeated 15 times (5 splits 3 hyperparameter values). Prepping recipe (trains dataset) can help diagnosing problems: Note , training information, warned 1 row incomplete. use step_naomit deal programmatically, ascertain generating missing data (prefer latter, good SDM pipeline generate observations, presences pseudoabsences, missing data).","code":"library(tidysdm) #> Loading required package: tidymodels #> ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── #> ✔ broom        1.0.7     ✔ recipes      1.1.0 #> ✔ dials        1.3.0     ✔ rsample      1.2.1 #> ✔ dplyr        1.1.4     ✔ tibble       3.2.1 #> ✔ ggplot2      3.5.1     ✔ tidyr        1.3.1 #> ✔ infer        1.0.7     ✔ tune         1.2.1 #> ✔ modeldata    1.4.0     ✔ workflows    1.1.4 #> ✔ parsnip      1.2.1     ✔ workflowsets 1.1.0 #> ✔ purrr        1.0.2     ✔ yardstick    1.3.1 #> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter()  masks stats::filter() #> ✖ dplyr::lag()     masks stats::lag() #> ✖ recipes::step()  masks stats::step() #> • Use tidymodels_prefer() to resolve common conflicts. #> Loading required package: spatialsample lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) lacerta_thin$bio05[37] <- NA lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) %>%   step_rm(all_of(c(     \"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", \"bio08\",     \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\",     \"bio17\", \"bio18\", \"bio19\", \"altitude\"   )))  lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (341ms) #> i 2 of 2 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 2 of 2 tuning:     default_rf (1.8s) lacerta_prep <- lacerta_rec %>% prep(lacerta_thin) lacerta_prep #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:    1 #> predictor: 20 #> coords:     2 #>  #> ── Training information #> Training data contained 452 data points and 1 incomplete row. #>  #> ── Operations #> • Variables removed: bio01, bio02, bio03, bio04, bio07, bio08, ... | Trained"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a3_troubleshooting.html","id":"recipes-and-the-response-variable","dir":"Articles","previous_headings":"","what":"Recipes and the response variable","title":"Troubleshooting models that fail","text":"response variable treated special way recipes, can lead problems. best manipulate (e.g. transform character factor) response variable recipe, since response variable available train test models, make projections. hard-coded step recipe includes response variable, model fit, fail start making predictions. Another potential mistake remove response variable selecting variables interest. can happen use step_select choose variables interest, error less clear: Let’s load data create recipe step_select: Now create workflow set fit : errors intuitive. However, models failed algorithms, suggests problem lies data preparation side (either data , recipe). Ideally, already look data (summary glimpse). , case, know data fine. Whilst prepping (sometimes baking) recipe generally informative predictor variables, hard diagnose problems outcome variable recipe. Prepping show anything obvious: case, process exclusion. Everything seems fine, models don’t work. ask outcome variable might problematic. general rule, found easier rely step_rm remove variables (e.g. correlated variables).","code":"lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) suggested_vars <- c(\"bio05\", \"bio06\", \"bio13\", \"bio14\", \"bio15\") lacerta_rec_sel <- recipe(lacerta_thin, formula = class ~ .) %>%   step_select(all_of(suggested_vars)) lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec_sel),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid())  set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> → A | error:   ! `logistic_reg()` was unable to find an outcome. #>                ℹ Ensure that you have specified an outcome column and that it hasn't been #>                  removed in pre-processing. #> There were issues with some computations   A: x1 #> There were issues with some computations   A: x5 #>  #> Warning: All models failed. Run `show_notes(.Last.tune.result)` for more #> information. #> Warning: Unknown or uninitialised column: `.notes`. #> ✖ 1 of 2 resampling: default_glm failed with  #> i 2 of 2 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> → A | error:   ! `rand_forest()` was unable to find an outcome. #>                ℹ Ensure that you have specified an outcome column and that it hasn't been #>                  removed in pre-processing. #> Warning: All models failed. Run `show_notes(.Last.tune.result)` for more information. #> Unknown or uninitialised column: `.notes`. #> ✖ 2 of 2 tuning:     default_rf failed with lacerta_prep_sel <- lacerta_rec_sel %>% prep(lacerta_thin) lacerta_prep_sel #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:    1 #> predictor: 20 #> coords:     2 #>  #> ── Training information #> Training data contained 452 data points and no incomplete rows. #>  #> ── Operations #> • Variables selected: bio05, bio06, bio13, bio14, bio15 | Trained"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a3_troubleshooting.html","id":"using-the-desired-formula-with-gam","dir":"Articles","previous_headings":"","what":"Using the desired formula with GAM","title":"Troubleshooting models that fail","text":"General Additive Models unusual syntax, user define variables fitted splines. tidysdm functions simplify process, assuming user just wants fit standard smooth every continuous predictor. Note step defining formula incompatible using step_cor recipe. step_cor removes correlated variables recipes, using similar algorithm filter_collinear using method cor_caret. However, algorithm fitted data split cross-validating. means different variables eventually presented model fitted split, leading error mismatch formula available variables. known issue GAMs implemented tidymodels.","code":"lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" ))  lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) %>%   step_rm(all_of(c(     \"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", \"bio08\",     \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\",     \"bio17\", \"bio18\", \"bio19\", \"altitude\"   )))  lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # the standard gam specs       gam = sdm_spec_gam()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # set formula for gams   update_workflow_model(\"default_gam\",     spec = sdm_spec_gam(),     formula = gam_formula(lacerta_rec)   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (275ms) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 2 of 2 resampling: default_gam #> ✔ 2 of 2 resampling: default_gam (1.5s)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a3_troubleshooting.html","id":"when-only-some-splits-fail","dir":"Articles","previous_headings":"","what":"When only some splits fail","title":"Troubleshooting models that fail","text":"examples , splits used cross-validation given algorithms failed. However, also possible failures occur splits certain algorithms (technically, specific rsplit within certain workflows). type problem occurs, best extract problematic workflow, potentially investigate fitting specific rsplit. generate problematic dataset subsampling lacerta dataset: create 3 folds attempt fit models: see one folds gives us error using GAMs. error (“Fitting terminated step failure - check results carefully”) comes gam function package mgcv. quick google StackOverflow[https://stats.stackexchange.com/questions/576273/gam-model-warning-message-step-failure--theta-estimation] gives us idea error comes . start extracting results gam fits: see , .notes column, second item empty (zero rows). can check indeed contains error wanted: can now get problematic data split, extract training data: case, nothing obvious leads error (important check make sure enough presences split; presences generally lead errors). can now extract workflow refit split confirm isolated problem: next step dig deeper data, trying understand whether outliers problematic. specific steps depend algorithm giving problems.","code":"lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) set.seed(123) lacerta_thin <- lacerta_thin[sample(   1:nrow(lacerta_thin),   nrow(lacerta_thin) / 5 ), ]  lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) %>%   step_rm(all_of(c(     \"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", \"bio08\",     \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\",     \"bio17\", \"bio18\", \"bio19\", \"altitude\"   )))  lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # the standard gam specs       gam = sdm_spec_gam(),       # rf specs with tuning       rf = sdm_spec_rf()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # set formula for gams   update_workflow_model(\"default_gam\",     spec = sdm_spec_gam(),     formula = gam_formula(lacerta_rec)   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 3) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 3 resampling: default_glm #> ✔ 1 of 3 resampling: default_glm (199ms) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 2 of 3 resampling: default_gam #> → A | warning: Fitting terminated with step failure - check results carefully #> There were issues with some computations   A: x1 #> There were issues with some computations   A: x1 #>  #> ✔ 2 of 3 resampling: default_gam (1.6s) #> i 3 of 3 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 3 of 3 tuning:     default_rf (456ms) gam_results <- extract_workflow_set_result(lacerta_models, id = \"default_gam\") gam_results #> # Resampling results #> # 3-fold spatial block cross-validation  #> # A tibble: 3 × 5 #>   splits          id    .metrics         .notes           .predictions      #>                                                #> 1  Fold1    #> 2  Fold2    #> 3  Fold3    #>  #> There were issues with some computations: #>  #>   - Warning(s) x1: Fitting terminated with step failure - check results carefully #>  #> Run `show_notes(.Last.tune.result)` for more information. gam_results$.notes[2] #> [[1]] #> # A tibble: 1 × 3 #>   location                    type    note                                       #>                                                                   #> 1 preprocessor 1/1, model 1/1 warning Fitting terminated with step failure - ch… problem_split <- gam_results$splits[2][[1]] summary(training(problem_split)) #>        class             geometry      bio01           bio02        #>  presence :18   POINT        :63   Min.   : 4.74   Min.   : 6.737   #>  pseudoabs:45   epsg:4326    : 0   1st Qu.:11.81   1st Qu.: 9.336   #>                 +proj=long...: 0   Median :13.09   Median :10.937   #>                                    Mean   :12.88   Mean   :11.052   #>                                    3rd Qu.:14.82   3rd Qu.:12.649   #>                                    Max.   :17.87   Max.   :14.037   #>      bio03           bio04           bio05           bio06         #>  Min.   :34.30   Min.   :341.2   Min.   :19.90   Min.   :-6.2732   #>  1st Qu.:39.30   1st Qu.:500.8   1st Qu.:24.91   1st Qu.:-0.6787   #>  Median :40.55   Median :610.8   Median :28.59   Median : 1.1918   #>  Mean   :40.54   Mean   :584.6   Mean   :28.57   Mean   : 1.2175   #>  3rd Qu.:42.19   3rd Qu.:656.1   3rd Qu.:32.31   3rd Qu.: 3.5664   #>  Max.   :46.98   Max.   :756.7   Max.   :35.31   Max.   : 8.2344   #>      bio07           bio08            bio09            bio10       #>  Min.   :16.40   Min.   : 1.922   Min.   : 1.588   Min.   :12.86   #>  1st Qu.:23.32   1st Qu.: 7.716   1st Qu.:16.995   1st Qu.:18.53   #>  Median :27.88   Median : 9.668   Median :19.828   Median :20.51   #>  Mean   :27.35   Mean   : 9.450   Mean   :18.938   Mean   :20.48   #>  3rd Qu.:31.49   3rd Qu.:11.341   3rd Qu.:22.607   3rd Qu.:23.08   #>  Max.   :35.27   Max.   :16.882   Max.   :25.470   Max.   :25.71   #>      bio11            bio12            bio13           bio14       #>  Min.   :-2.060   Min.   : 249.0   Min.   : 36.0   Min.   : 2.00   #>  1st Qu.: 4.968   1st Qu.: 452.0   1st Qu.: 59.0   1st Qu.: 8.00   #>  Median : 6.236   Median : 628.0   Median : 91.0   Median :17.00   #>  Mean   : 6.268   Mean   : 757.8   Mean   :101.5   Mean   :21.97   #>  3rd Qu.: 8.455   3rd Qu.:1016.5   3rd Qu.:119.0   3rd Qu.:30.50   #>  Max.   :11.795   Max.   :1622.0   Max.   :248.0   Max.   :74.00   #>      bio15           bio16           bio17            bio18       #>  Min.   :13.44   Min.   : 96.0   Min.   : 17.00   Min.   : 22.0   #>  1st Qu.:30.07   1st Qu.:157.0   1st Qu.: 43.00   1st Qu.: 47.0   #>  Median :38.97   Median :249.0   Median : 71.00   Median : 78.0   #>  Mean   :41.58   Mean   :280.3   Mean   : 88.08   Mean   : 96.0   #>  3rd Qu.:54.30   3rd Qu.:334.0   3rd Qu.:109.50   3rd Qu.:117.5   #>  Max.   :71.59   Max.   :714.0   Max.   :253.00   Max.   :253.0   #>      bio19          altitude      #>  Min.   : 68.0   Min.   :  38.0   #>  1st Qu.:128.5   1st Qu.: 319.5   #>  Median :225.0   Median : 689.0   #>  Mean   :252.5   Mean   : 685.5   #>  3rd Qu.:319.5   3rd Qu.: 855.0   #>  Max.   :714.0   Max.   :1926.0 gam_workflow <- extract_workflow(lacerta_models, id = \"default_gam\") faulty_gam <- fit(gam_workflow, training(problem_split)) #> Warning in newton(lsp = lsp, X = G$X, y = G$y, Eb = G$Eb, UrS = G$UrS, L = G$L, #> : Fitting terminated with step failure - check results carefully"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Michela Leonardi. Author. Margherita Colucci. Author. Andrea Vittorio Pozzi. Author. Eleanor M.L. Scerri. Author. Ben Tupper. Contributor. Andrea Manica. Author, maintainer.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Leonardi M, Colucci M, Pozzi , Scerri E, Manica (2024). tidysdm: Species Distribution Models Tidymodels. R package version 0.9.6.9004, https://evolecolgroup.github.io/tidysdm/, https://github.com/EvolEcolGroup/tidysdm.","code":"@Manual{,   title = {tidysdm: Species Distribution Models with Tidymodels},   author = {Michela Leonardi and Margherita Colucci and Andrea Vittorio Pozzi and Eleanor M.L. Scerri and Andrea Manica},   year = {2024},   note = {R package version 0.9.6.9004,     https://evolecolgroup.github.io/tidysdm/},   url = {https://github.com/EvolEcolGroup/tidysdm}, }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/index.html","id":"tidysdm-","dir":"","previous_headings":"","what":"Species Distribution Models with Tidymodels","title":"Species Distribution Models with Tidymodels","text":"goal tidysdm implement Species Distribution Models using tidymodels framework. advantage tidymodels model syntax results returned user standardised, thus providing coherent interface modelling. Given variety models required SDM, tidymodels ideal framework. tidysdm provides number wrappers specialised functions facilitate fitting SDM tidymodels. Besides modelling contemporary species, tidysdm number functions specifically designed work palaeontological data. Whilst users free use environmental data, articles showcase potential integration pastclim, helps downloading manipulating present day data, future predictions, palaeoclimate reconstructions. overview capabilities tidysdm given Leonardi et al. (2023).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Species Distribution Models with Tidymodels","text":"tidysdm CRAN, easiest way install : version CRAN recommended every day use. New features bug fixes appear first dev branch GitHub, make way CRAN. need early access new features, can install tidysdm directly GitHub. install GitHub, need use devtools; haven’t done already, get CRAN install.packages(\"devtools\"). can install latest dev version tidysdm GitHub :","code":"install.packages(\"tidysdm\") # install.packages(\"devtools\") devtools::install_github(\"EvolEcolGroup/tidysdm\", ref = \"dev\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/index.html","id":"overview-of-functionality","dir":"","previous_headings":"","what":"Overview of functionality","title":"Species Distribution Models with Tidymodels","text":"dedicated website, can find Articles giving step--step overview fitting SDMs contemporary species, well equivalent tutorial using palaeontological data. Furthermore, Article examples leverage various features tidymodels commonly adopted SDM pipelines also dev version site updated dev branch tidysdm (top left dev website, version number red format x.x.x.9xxx, indicating development version). want contribute, make sure read contributing guide.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/index.html","id":"when-something-does-not-work","dir":"","previous_headings":"","what":"When something does not work","title":"Species Distribution Models with Tidymodels","text":"get error trying fit model? tidysdm relatively new package, might well , get error, might encountered bug. However, also possible misspecified model (error comes tidymodels, model valid). prepared Article diagnose failing models. fully comprehensive list everything go wrong, hopefully give ideas dig deeper wrong. also check issues GitHub see whether problem already reported. convinced problem bug tidysdm, feel free create new issue. Please make sure updated latest version tidysdm, well updating packages system, provide reproducible example developers investigate problem. think can help fixing bug, read contributing guide.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_member.html","id":null,"dir":"Reference","previous_headings":"","what":"Add best member of workflow to a simple ensemble — add_member","title":"Add best member of workflow to a simple ensemble — add_member","text":"function adds member(s) simple_ensemble() object, taking best member workflow provided. possible pass individual tune_results objects tuned workflow, workflowsets::workflow_set().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_member.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add best member of workflow to a simple ensemble — add_member","text":"","code":"add_member(x, member, ...)  # Default S3 method add_member(x, member, ...)  # S3 method for class 'tune_results' add_member(x, member, metric = NULL, id = NULL, ...)  # S3 method for class 'workflow_set' add_member(x, member, metric = NULL, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_member.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add best member of workflow to a simple ensemble — add_member","text":"x simple_ensemble member(s) added member  tune_results, workflowsets::workflow_set ... used moment. metric character string (NULL) metric optimize. NULL, first metric used. id name given workflow wflow_id column.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_member.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add best member of workflow to a simple ensemble — add_member","text":"simple_ensemble additional member(s)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_repeat.html","id":null,"dir":"Reference","previous_headings":"","what":"Add repeat(s) to a repeated ensemble — add_repeat","title":"Add repeat(s) to a repeated ensemble — add_repeat","text":"function adds repeat(s) repeat_ensemble object, repeat simple_ensemble. repeats must contain members, selected using metric.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_repeat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add repeat(s) to a repeated ensemble — add_repeat","text":"","code":"add_repeat(x, rep, ...)  # Default S3 method add_repeat(x, rep, ...)  # S3 method for class 'simple_ensemble' add_repeat(x, rep, ...)  # S3 method for class 'list' add_repeat(x, rep, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_repeat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add repeat(s) to a repeated ensemble — add_repeat","text":"x repeat_ensemble repeat(s) added rep repeat, single simple_ensemble, list simple_ensemble objects ... used moment.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_repeat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add repeat(s) to a repeated ensemble — add_repeat","text":"repeat_ensemble additional repeat(s)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the results of a simple ensemble — autoplot.simple_ensemble","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"autoplot() method plots performance metrics ranked using metric.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"","code":"# S3 method for class 'simple_ensemble' autoplot(   object,   rank_metric = NULL,   metric = NULL,   std_errs = stats::qnorm(0.95),   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"object simple_ensemble whose elements results. rank_metric character string metric used rank results. none given, first metric metric set used (filtering metric option). metric character vector metrics (apart rank_metric) included visualization. NULL (default), available metrics plotted std_errs number standard errors plot (standard error exists). ... options pass autoplot(). Currently unused.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"ggplot object.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"function intended produce default plot visualize helpful information across possible applications simple_ensemble. sophisticated plots can produced using standard ggplot2 code plotting. x-axis workflow rank set (value one best) versus performance metric(s) y-axis. multiple metrics, facets metric, rank_metric first (provided; otherwise metric used create simple_ensemble used). multiple resamples used, confidence bounds shown result (95% confidence, default).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"","code":"# \\donttest{ #' # we use the two_class_example from `workflowsets` two_class_ens <- simple_ensemble() %>%   add_member(two_class_res, metric = \"roc_auc\") #>  #> Attaching package: ‘plotrix’ #> The following object is masked from ‘package:scales’: #>  #>     rescale autoplot(two_class_ens)  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"method provides good visualization method spatial initial rsplit.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"","code":"# S3 method for class 'spatial_initial_split' autoplot(object, ..., alpha = 0.6)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"object spatial_initial_rsplit object. Note resamples made sf objects  create spatial_initial_rsplit objects; function work resamples made non-spatial tibbles data.frames. ... Options passed ggplot2::geom_sf(). alpha Opacity, passed ggplot2::geom_sf(). Values alpha range 0 1, lower values corresponding transparent colors.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"ggplot object fold assigned color, made using ggplot2::geom_sf().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"plot method wrapper around standard spatial_rsplit method, re-labels folds Testing Training following convention standard initial_split object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"","code":"set.seed(123) block_initial <- spatial_initial_split(boston_canopy,   prop = 1 / 5, spatial_block_cv ) autoplot(block_initial)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert an object created with blockCV to an rsample object — blockcv2rsample","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"function creates objects created blockCV rsample objects can used tidysdm. BlockCV provides sophisticated sampling options spatialsample library. example, possible stratify sampling ensure presences absences evenly distributed among folds (see example ).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"","code":"blockcv2rsample(x, data)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"x object created blockCV function data sf object used create x","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"rsample object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"Note currently objects type cv_spatial cv_cluster supported.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"","code":"# \\donttest{ library(blockCV) #> blockCV 3.1.5 points <- read.csv(system.file(\"extdata/\", \"species.csv\", package = \"blockCV\")) pa_data <- sf::st_as_sf(points, coords = c(\"x\", \"y\"), crs = 7845) sb1 <- cv_spatial(   x = pa_data,   column = \"occ\", # the response column to balance the folds   k = 5, # number of folds   size = 350000, # size of the blocks in metres   selection = \"random\", # random blocks-to-fold   iteration = 10 ) # find evenly dispersed folds #>    |                                                                               |                                                                      |   0%   |                                                                               |=======                                                               |  10%   |                                                                               |==============                                                        |  20%   |                                                                               |=====================                                                 |  30%   |                                                                               |============================                                          |  40%   |                                                                               |===================================                                   |  50%   |                                                                               |==========================================                            |  60%   |                                                                               |=================================================                     |  70%   |                                                                               |========================================================              |  80%   |                                                                               |===============================================================       |  90%   |                                                                               |======================================================================| 100% #>   train_0 train_1 test_0 test_1 #> 1     172     207     85     36 #> 2     218     202     39     41 #> 3     218     192     39     51 #> 4     217     171     40     72 #> 5     203     200     54     43  sb1_rsample <- blockcv2rsample(sb1, pa_data) class(sb1_rsample) #> [1] \"spatial_rset\" \"rset\"         \"tbl_df\"       \"tbl\"          \"data.frame\"   autoplot(sb1_rsample)  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":null,"dir":"Reference","previous_headings":"","what":"Boyce continuous index (BCI) — boyce_cont","title":"Boyce continuous index (BCI) — boyce_cont","text":"function Boyce Continuous Index, measure model accuracy appropriate Species Distribution Models presence data (.e. using pseudoabsences background). algorithm used comes package enmSdm, uses multiple overlapping windows.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Boyce continuous index (BCI) — boyce_cont","text":"","code":"boyce_cont(data, ...)  # S3 method for class 'data.frame' boyce_cont(   data,   truth,   ...,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL )  # S3 method for class 'sf' boyce_cont(data, ...)  boyce_cont_vec(   truth,   estimate,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Boyce continuous index (BCI) — boyce_cont","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimator One \"binary\", \"hand_till\", \"macro\", \"macro_weighted\" specify type averaging done. \"binary\" relevant two class case. others general methods calculating multiclass metrics. default automatically choose \"binary\" truth binary, \"hand_till\" truth >2 levels case_weights specified, \"macro\" truth >2 levels case_weights specified (case \"hand_till\" well-defined). na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\" case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Boyce continuous index (BCI) — boyce_cont","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Boyce continuous index (BCI) — boyce_cont","text":"multiclass version function, operates binary predictions (e.g. presences absences SDMs).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Boyce continuous index (BCI) — boyce_cont","text":"Boyce, M.S., P.R. Vernier, S.E. Nielsen F.K.. Schmiegelow. 2002. Evaluating resource selection functions. Ecol. Model., 157, 281-300. Hirzel, .H., G. Le Lay, V. Helfer, C. Randin . Guisan. 2006. Evaluating ability habitat suitability models predict species presences. Ecol. Model., 199, 142-152.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Boyce continuous index (BCI) — boyce_cont","text":"","code":"boyce_cont(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #>   .metric    .estimator .estimate #>                    #> 1 boyce_cont binary         0.805"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":null,"dir":"Reference","previous_headings":"","what":"Calibrate class thresholds — calib_class_thresh","title":"Calibrate class thresholds — calib_class_thresh","text":"Predict new dataset using simple ensemble. Predictions individual models combined according fun","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calibrate class thresholds — calib_class_thresh","text":"","code":"calib_class_thresh(object, class_thresh, metric_thresh = NULL)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calibrate class thresholds — calib_class_thresh","text":"object simple_ensemble object class_thresh probability threshold used convert probabilities classes. can number (0 1), character metric (currently \"tss_max\", \"kap_max\" \"sensitivity\"). sensitivity, additional target value passed along second element vector, e.g. c(\"sensitivity\",0.8). metric_thresh vector length 2 giving metric threshold, used prune models ensemble used prediction. 'metrics' need computed workflow tuned. metric's threshold needs match value used prediction. Examples c(\"accuracy\",0.8) c(\"boyce_cont\",0.7).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calibrate class thresholds — calib_class_thresh","text":"simple_ensemble object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calibrate class thresholds — calib_class_thresh","text":"","code":"test_ens <- simple_ensemble() %>%   add_member(two_class_res[1:3, ], metric = \"roc_auc\") test_ens <- calib_class_thresh(test_ens, class_thresh = \"tss_max\") test_ens <- calib_class_thresh(test_ens, class_thresh = \"kap_max\") test_ens <- calib_class_thresh(test_ens, class_thresh = c(\"sens\", 0.9))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_coords_names.html","id":null,"dir":"Reference","previous_headings":"","what":"Check that we have a valid pair of coordinate names — check_coords_names","title":"Check that we have a valid pair of coordinate names — check_coords_names","text":"internal function checks coords (passed functions) valid set names, , NULL, standard variable names data","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_coords_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check that we have a valid pair of coordinate names — check_coords_names","text":"","code":"check_coords_names(data, coords)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_coords_names.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check that we have a valid pair of coordinate names — check_coords_names","text":"data data.frame containing locations. coords vector length two giving names \"x\" \"y\" coordinates, points data.frame use standard names.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_coords_names.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check that we have a valid pair of coordinate names — check_coords_names","text":"vector length 2 valid names, correct order","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_sdm_presence.html","id":null,"dir":"Reference","previous_headings":"","what":"Check that the column with presences is correctly formatted — check_sdm_presence","title":"Check that the column with presences is correctly formatted — check_sdm_presence","text":"tidysdm, string defining presences first level response factor. function checks column correctly formatted.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_sdm_presence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check that the column with presences is correctly formatted — check_sdm_presence","text":"","code":"check_sdm_presence(.data, .col, presence_level = \"presence\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_sdm_presence.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check that the column with presences is correctly formatted — check_sdm_presence","text":".data data.frame tibble, derived object sf data.frame .col column containing presences presence_level string used define presence level .col","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_sdm_presence.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check that the column with presences is correctly formatted — check_sdm_presence","text":"TRUE correctly formatted","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":null,"dir":"Reference","previous_headings":"","what":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"Check balance presences vs pseudoabsences among splits","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"","code":"check_splits_balance(splits, .col)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"splits data splits (rset split object), generated function spatialsample::spatial_block_cv() .col column containing presences","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"tibble number presences pseudoabsences assessment analysis set split (training testing initial split)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"","code":"lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5) check_splits_balance(lacerta_cv, class) #> # A tibble: 5 × 4 #>   presence_assessment pseudoabs_assessment presence_analysis pseudoabs_analysis #>                                                             #> 1                  80                  273                33                 66 #> 2                  80                  283                33                 56 #> 3                  97                  272                16                 67 #> 4                  94                  262                19                 77 #> 5                 101                  267                12                 72"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/clamp_predictors.html","id":null,"dir":"Reference","previous_headings":"","what":"Clamp the predictors to match values in training set — clamp_predictors","title":"Clamp the predictors to match values in training set — clamp_predictors","text":"function clamps environmental variables terra::SpatRaster terra::SpatRasterDataset minimum maximum values exceed range training dataset.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/clamp_predictors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Clamp the predictors to match values in training set — clamp_predictors","text":"","code":"clamp_predictors(x, training, .col, use_na)  # Default S3 method clamp_predictors(x, training, .col, use_na)  # S3 method for class 'stars' clamp_predictors(x, ...)  # S3 method for class 'SpatRaster' clamp_predictors(x, training, .col, use_na = FALSE)  # S3 method for class 'SpatRasterDataset' clamp_predictors(x, training, .col, use_na = FALSE)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/clamp_predictors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Clamp the predictors to match values in training set — clamp_predictors","text":"x terra::SpatRaster, stars terra::SpatRasterDataset clamp. training training dataset (data.frame sf::sf object. .col column containing presences (optional). specified, excluded clamping. use_na boolean determining whether values outside range training dataset removed (set NA). FALSE (default), values outside training range replaced extremes training range. ... additional arguments specific given object type","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/clamp_predictors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Clamp the predictors to match values in training set — clamp_predictors","text":"terra::SpatRaster terra::SpatRasterDataset clamped ranges training","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"Return tibble performance metrics models.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"","code":"# S3 method for class 'simple_ensemble' collect_metrics(x, ...)  # S3 method for class 'repeat_ensemble' collect_metrics(x, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"x simple_ensemble repeat_ensemble object ... currently used.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"tibble.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"applied ensemble, metrics returned contain actual tuning parameter columns values (unlike collect functions run objects). reason ensembles contain different types models models different tuning parameters.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"","code":"collect_metrics(lacerta_ensemble) #> # A tibble: 12 × 5 #>    wflow_id       .metric     mean std_err     n #>                         #>  1 default_glm    boyce_cont 0.683 0.0573      3 #>  2 default_glm    roc_auc    0.789 0.0137      3 #>  3 default_glm    tss_max    0.533 0.0192      3 #>  4 default_rf     boyce_cont 0.632 0.0552      3 #>  5 default_rf     roc_auc    0.791 0.0146      3 #>  6 default_rf     tss_max    0.519 0.0284      3 #>  7 default_gbm    boyce_cont 0.738 0.0473      3 #>  8 default_gbm    roc_auc    0.792 0.00304     3 #>  9 default_gbm    tss_max    0.545 0.0368      3 #> 10 default_maxent boyce_cont 0.832 0.0771      3 #> 11 default_maxent roc_auc    0.832 0.00649     3 #> 12 default_maxent tss_max    0.595 0.0124      3 collect_metrics(lacerta_rep_ens) #> # A tibble: 18 × 6 #>    rep_id wflow_id       .metric     mean std_err     n #>                           #>  1 rep_01 default_glm    boyce_cont 0.796 0.0241      5 #>  2 rep_01 default_glm    roc_auc    0.974 0.00385     5 #>  3 rep_01 default_glm    tss_max    0.881 0.0155      5 #>  4 rep_01 default_maxent boyce_cont 0.834 0.0603      5 #>  5 rep_01 default_maxent roc_auc    0.981 0.0129      5 #>  6 rep_01 default_maxent tss_max    0.914 0.0345      5 #>  7 rep_02 default_glm    boyce_cont 0.716 0.0520      5 #>  8 rep_02 default_glm    roc_auc    0.940 0.0268      5 #>  9 rep_02 default_glm    tss_max    0.813 0.0543      5 #> 10 rep_02 default_maxent boyce_cont 0.808 0.0745      5 #> 11 rep_02 default_maxent roc_auc    0.982 0.00807     5 #> 12 rep_02 default_maxent tss_max    0.883 0.0270      5 #> 13 rep_03 default_glm    boyce_cont 0.402 0.179       5 #> 14 rep_03 default_glm    roc_auc    0.940 0.0202      5 #> 15 rep_03 default_glm    tss_max    0.821 0.0330      5 #> 16 rep_03 default_maxent boyce_cont 0.908 0.0312      5 #> 17 rep_03 default_maxent roc_auc    0.976 0.00727     5 #> 18 rep_03 default_maxent tss_max    0.854 0.0345      5"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/conf_matrix_df.html","id":null,"dir":"Reference","previous_headings":"","what":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","title":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","text":"Create confusion matrix multiple thresholds, using optimise tss","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/conf_matrix_df.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","text":"","code":"conf_matrix_df(presences, absences)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/conf_matrix_df.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","text":"presences Probabilities presences absences probabilities absences","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/conf_matrix_df.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","text":"data.frame thresholds columns thres, tp, fp, fn, tn","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/control_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Control wrappers — control_ensemble_grid","title":"Control wrappers — control_ensemble_grid","text":"Supply light wrappers control argument tune::tune_grid(), tune::tune_bayes(), tune::fit_resamples() call return needed elements use ensemble. functions return appropriate control grid ensure assessment set predictions information model specifications preprocessors, supplied resampling results object! integrate ensemble settings existing control settings, note functions just call appropriate tune::control_* function arguments save_pred = TRUE, save_workflow = TRUE. wrappers equivalent ones used stacks package.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/control_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Control wrappers — control_ensemble_grid","text":"","code":"control_ensemble_grid()  control_ensemble_resamples()  control_ensemble_bayes()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/control_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Control wrappers — control_ensemble_grid","text":"tune::control_grid, tune::control_bayes, tune::control_resamples object.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":null,"dir":"Reference","previous_headings":"","what":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":"environmental variable, function computes density functions presences absences returns (1-overlap), measure distance two distributions. Variables high distance good candidates SDMs, species occurrences confined subset available background.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":"","code":"dist_pres_vs_bg(.data, .col)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":".data data.frame (derived object, tibble, sf) values bioclimate variables presences background .col column containing presences; assumes presences first level factor","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":"name vector distances","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":"","code":"# This should be updated to use a dataset from tidysdm data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>%   dplyr::mutate(presence = relevel(     factor(       dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")     ),     ref = \"presence\"   )) %>%   select(-ecoreg)  bradypus_tb %>% dist_pres_vs_bg(presence) #> pre6190_l10 frs6190_ann tmn6190_ann pre6190_ann vap6190_ann  pre6190_l7  #>   0.4366602   0.4299480   0.4295013   0.4096230   0.3945855   0.3933454  #>       h_dem tmp6190_ann dtr6190_ann  pre6190_l4 tmx6190_ann cld6190_ann  #>   0.3647375   0.3316686   0.3288771   0.2544976   0.2418274   0.1812527  #>  pre6190_l1  #>   0.1297035"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":null,"dir":"Reference","previous_headings":"","what":"Create explainer from your tidysdm ensembles. — explain_tidysdm","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"DALEX designed explore explain behaviour Machine Learning methods. function creates DALEX explainer (see DALEX::explain()), can queried multiple function create explanations model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"","code":"explain_tidysdm(   model,   data,   y,   predict_function,   predict_function_target_column,   residual_function,   ...,   label,   verbose,   precalculate,   colorize,   model_info,   type,   by_workflow )  # Default S3 method explain_tidysdm(   model,   data = NULL,   y = NULL,   predict_function = NULL,   predict_function_target_column = NULL,   residual_function = NULL,   ...,   label = NULL,   verbose = TRUE,   precalculate = TRUE,   colorize = !isTRUE(getOption(\"knitr.in.progress\")),   model_info = NULL,   type = \"classification\",   by_workflow = FALSE )  # S3 method for class 'simple_ensemble' explain_tidysdm(   model,   data = NULL,   y = NULL,   predict_function = NULL,   predict_function_target_column = NULL,   residual_function = NULL,   ...,   label = NULL,   verbose = TRUE,   precalculate = TRUE,   colorize = !isTRUE(getOption(\"knitr.in.progress\")),   model_info = NULL,   type = \"classification\",   by_workflow = FALSE )  # S3 method for class 'repeat_ensemble' explain_tidysdm(   model,   data = NULL,   y = NULL,   predict_function = NULL,   predict_function_target_column = NULL,   residual_function = NULL,   ...,   label = NULL,   verbose = TRUE,   precalculate = TRUE,   colorize = !isTRUE(getOption(\"knitr.in.progress\")),   model_info = NULL,   type = \"classification\",   by_workflow = FALSE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"model object - model explained data data.frame matrix - data used calculate explanations. provided, extracted model. Data passed without target column (shall provided y argument). NOTE: target variable present data, functionalities may work properly. y numeric vector outputs/scores. provided, shall size data predict_function function takes two arguments: model new data returns numeric vector predictions.   default yhat. predict_function_target_column Character numeric containing either column name column number model prediction object class considered positive (.e. class associated probability 1). NULL, second column output taken binary classification. multiclass classification setting, parameter cause switch binary classification mode one vs others probabilities. residual_function function takes four arguments: model, data, target vector y predict function (optionally). return numeric vector model residuals given data. provided, response residuals (\\(y-\\hat{y}\\)) calculated. default residual_function_default. ... parameters label character - name model. default extracted 'class' attribute model verbose logical. TRUE (default) diagnostic messages printed precalculate logical. TRUE (default) predicted_values residual calculated explainer created. happen also verbose TRUE. Set verbose precalculate FALSE omit calculations. colorize logical. TRUE (default) WARNINGS, ERRORS NOTES colorized. work R console. Now default FALSE knitting TRUE otherwise. model_info named list (package, version, type) containing information model. NULL, DALEX seek information . type type model, either classification regression. specified type extracted model_info. by_workflow boolean determining whether list explainer, one per model, returned instead single explainer ensemble","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"explainer object DALEX::explain ready work DALEX","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"","code":"# \\donttest{ # using the whole ensemble lacerta_explainer <- explain_tidysdm(tidysdm::lacerta_ensemble) #> Preparation of a new explainer is initiated #>   -> model label       :  data.frame  (  default  ) #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  predict_function  #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidysdm , ver. 0.9.6.9004 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.01490969 , mean =  0.2861937 , max =  0.7169324   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.6465921 , mean =  -0.03619367 , max =  0.7891973   #>   A new explainer has been created!   # by workflow explainer_list <- explain_tidysdm(tidysdm::lacerta_ensemble,   by_workflow = TRUE ) #> Preparation of a new explainer is initiated #>   -> model label       :  default_glm  #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.2280177 , mean =  0.75 , max =  0.9854359   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.9096205 , mean =  5.395921e-12 , max =  0.7719823   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_rf  #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.1315421 , mean =  0.7480648 , max =  1   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.6878921 , mean =  0.001935171 , max =  0.5870619   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_gbm  #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.3390188 , mean =  0.7314788 , max =  0.9632964   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.9268645 , mean =  0.01852121 , max =  0.6280424   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_maxent  #>   -> data              :  444  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  444  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.1095764 , mean =  0.6256817 , max =  0.9960248   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.8207859 , mean =  0.1243183 , max =  0.8904236   #>   A new explainer has been created!   # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":null,"dir":"Reference","previous_headings":"","what":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"Compute multivariate environmental similarity surfaces (MESS), described Elith et al., 2010.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"","code":"extrapol_mess(x, training, .col, ...)  # Default S3 method extrapol_mess(x, training, ...)  # S3 method for class 'stars' extrapol_mess(x, ...)  # S3 method for class 'SpatRaster' extrapol_mess(x, training, .col, filename = \"\", ...)  # S3 method for class 'data.frame' extrapol_mess(x, training, .col, ...)  # S3 method for class 'SpatRasterDataset' extrapol_mess(x, training, .col, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"x terra::SpatRaster, stars, terra::SpatRasterDataset data.frame training matrix data.frame sf object containing reference values; column correspond one layer terra::SpatRaster object, exception presences column defined .col (optional). .col column containing presences (optional). specified, excluded computing MESS scores. ... additional arguments terra::writeRaster() filename character. Output filename (optional)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"terra::SpatRaster (data.frame) MESS values.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"function modified version mess package predicts, method added work terra::SpatRasterDataset. Note method terra::SpatRasterDataset assumes variables stored terra::SpatRaster time information within x. Time also assumed years. conditions met, possible manually extract terra::SpatRaster time step, use extrapol_mess terra::SpatRasters","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"Elith J., M. Kearney M., S. Phillips, 2010. art modelling range-shifting species. Methods Ecology Evolution 1:330-342.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"Jean-Pierre Rossi, Robert Hijmans, Paulo van Breugel, Andrea Manica","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":null,"dir":"Reference","previous_headings":"","what":"Filter to retain only variables that have low collinearity — filter_collinear","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"method finds subset variables low collinearity. provides three methods: cor_caret, stepwise approach remove variables pairwise correlation given cutoff, choosing variable greatest mean correlation (based algorithm caret::findCorrelation); vif_step, stepwise approach remove variables variance inflation factor given cutoff (based algorithm usdm::vifstep), vif_cor, stepwise approach , step, find pair variables highest correlation cutoff removes one largest vif. correlation certain cutoff. methods terra::SpatRaster, data.frame matrix. terra::SpatRaster data.frame, numeric variables considered.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"","code":"filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   ... )  # Default S3 method filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   ... )  # S3 method for class 'stars' filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   exhaustive = FALSE,   ... )  # S3 method for class 'SpatRaster' filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   exhaustive = FALSE,   ... )  # S3 method for class 'data.frame' filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   ... )  # S3 method for class 'matrix' filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"x terra::SpatRaster stars object, data.frame (numeric variables) cutoff numeric value used threshold remove variables. , \"cor_caret\" \"vif_cor\", pair-wise absolute correlation cutoff, defaults 0.7. \"vif_step\", variable inflation factor, defaults 10 verbose boolean whether additional information provided screen names logical; column names returned TRUE column index FALSE)? to_keep vector variable names want force set (note function return error correlation among variables higher cutoff). method character. One \"cor_caret\", \"vif_cor\" \"vif_step\". cor_type character. methods use correlation, type correlation: \"pearson\", \"kendall\", \"spearman\". Defaults \"pearson\" max_cells positive integer. maximum number cells used. smaller ncell(x), regular sample x used ... additional arguments specific given object type exhaustive boolean. Used terra::SpatRaster downsampling max_cells, require exhaustive approach terra::spatSample(). needed rasters sparse large, see help page terra::spatSample() details.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"vector names columns correlation threshold (names = TRUE), otherwise vector indices. Note indices numeric variables (.e. factors present, indices take account).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"Naimi, B., Hamm, N..S., Groen, T.., Skidmore, .K., Toxopeus, .G. 2014. positional uncertainty problem species distribution modelling?, Ecography 37 (2): 191-203.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"cor_caret: Original R code Dong Li, modified Max Kuhn Andrea Manica; vif_step vif_cor, original algorithm Babak Naimi, rewritten Andrea Manica tidysdm","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"FUNCTION DEPRECATED. USE filter_collinear method=cor_caret instead","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"","code":"filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)  # Default S3 method filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)  # S3 method for class 'SpatRaster' filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)  # S3 method for class 'data.frame' filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)  # S3 method for class 'matrix' filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"x terra::SpatRaster object, data.frame (numeric variables), correlation matrix cutoff numeric value pair-wise absolute correlation cutoff verbose boolean printing details names logical; column names returned TRUE column index FALSE)? to_keep vector variable names want force set (note function return error correlation among variables higher cutoff).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"vector names columns correlation threshold (names = TRUE), otherwise vector indices. Note indices numeric variables (.e. factors present, indices take account).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"method finds subset variable correlation certain cutoff. methods terra::SpatRaster, data.frame, work directly correlation matrix previously estimated. data.frame, numeric variables considered. algorithm based caret::findCorrelation, using exact option. absolute values pair-wise correlations considered. two variables high correlation, function looks mean absolute correlation variable removes variable largest mean absolute correlation. several function package subselect can also used accomplish goal tend retain predictors.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the response variable from a formula — form_resp","title":"Get the response variable from a formula — form_resp","text":"counterpart rsample::form_pred.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the response variable from a formula — form_resp","text":"","code":"form_resp(x)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the response variable from a formula — form_resp","text":"x formula","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the response variable from a formula — form_resp","text":"character name response","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get the response variable from a formula — form_resp","text":"Note: might behave well functions log(y). neither form_pred modified https://stackoverflow.com/questions/13217322/--reliably-get-dependent-variable-name--formula-object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/gam_formula.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a formula for gam — gam_formula","title":"Create a formula for gam — gam_formula","text":"function takes formula recipe, turns numeric predictors smooths given k. formula can passed workflow workflow set fitting gam.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/gam_formula.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a formula for gam — gam_formula","text":"","code":"gam_formula(object, k = 10)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/gam_formula.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a formula for gam — gam_formula","text":"object recipes::recipe, already trained k k value smooth","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/gam_formula.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a formula for gam — gam_formula","text":"formula","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":null,"dir":"Reference","previous_headings":"","what":"Split violin geometry for ggplots — geom_split_violin","title":"Split violin geometry for ggplots — geom_split_violin","text":"geometry displays density distribution two groups side side, two halves violin. Note emptyx aesthetic provided even want plot single variable (see example ).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split violin geometry for ggplots — geom_split_violin","text":"","code":"geom_split_violin(   mapping = NULL,   data = NULL,   stat = \"ydensity\",   position = \"identity\",   nudge = 0,   ...,   draw_quantiles = NULL,   trim = TRUE,   scale = \"area\",   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split violin geometry for ggplots — geom_split_violin","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat Use override default connection ggplot2::geom_violin() ggplot2::stat_ydensity(). position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. nudge Add space half-violin middle space allotted given factor x-axis. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. draw_quantiles (NULL) (default), draw horizontal lines given quantiles density estimate. trim TRUE (default), trim tails violins range data. FALSE, trim tails. scale \"area\" (default), violins area (trimming tails). \"count\", areas scaled proportionally number observations. \"width\", violins maximum width. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split violin geometry for ggplots — geom_split_violin","text":"ggplot2::layer object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Split violin geometry for ggplots — geom_split_violin","text":"implementation based https://stackoverflow.com/questions/35717353/split-violin-plot--ggplot2. Credit goes @jan-jlx providing complete implementation StackOverflow, Trang Q. Nguyen adding nudge parameter.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split violin geometry for ggplots — geom_split_violin","text":"","code":"data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>% dplyr::mutate(presence = relevel(   factor(     dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")   ),   ref = \"presence\" ))  ggplot(bradypus_tb, aes(   x = \"\",   y = cld6190_ann,   fill = presence )) +   geom_split_violin(nudge = 0.01)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_cellsize.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default grid cellsize for a given dataset — grid_cellsize","title":"Get default grid cellsize for a given dataset — grid_cellsize","text":"function facilitates using spatialsample::spatial_block_cv multiple times analysis. spatialsample::spatial_block_cv creates grid based object data. However, spatial blocks generated multiple times analysis (e.g. spatial_initial_split(), subsequently cross-validation training dataset), might desirable keep grid). applying function largest dataset, usually full dataset spatial_initial_split(). resulting cellsize can used option spatialsample::spatial_block_cv.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_cellsize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default grid cellsize for a given dataset — grid_cellsize","text":"","code":"grid_cellsize(data, n = c(10, 10))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_cellsize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default grid cellsize for a given dataset — grid_cellsize","text":"data sf::sf dataset used size grid n number cells grid, defaults c(10,10), also default sf::st_make_grid()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_cellsize.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default grid cellsize for a given dataset — grid_cellsize","text":"cell size","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_offset.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default grid cellsize for a given dataset — grid_offset","title":"Get default grid cellsize for a given dataset — grid_offset","text":"function facilitates using spatialsample::spatial_block_cv multiple times analysis. spatialsample::spatial_block_cv creates grid based object data. However, spatial blocks generated multiple times analysis (e.g. spatial_initial_split(), subsequently cross-validation training dataset), might desirable keep grid). applying function largest dataset, usually full dataset spatial_initial_split(). resulting cellsize can used option spatialsample::spatial_block_cv.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_offset.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default grid cellsize for a given dataset — grid_offset","text":"","code":"grid_offset(data)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_offset.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default grid cellsize for a given dataset — grid_offset","text":"data sf::sf dataset used size grid","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_offset.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default grid cellsize for a given dataset — grid_offset","text":"grid offset","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/horses.html","id":null,"dir":"Reference","previous_headings":"","what":"Coordinates of radiocarbon dates for horses — horses","title":"Coordinates of radiocarbon dates for horses — horses","text":"Coordinates presences horses 22k 8k YBP.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/horses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coordinates of radiocarbon dates for horses — horses","text":"","code":"horses"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/horses.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Coordinates of radiocarbon dates for horses — horses","text":"tibble 1,297 rows 3 variables: latitude latitudes degrees longitude longitudes degrees time_bp time years present","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":null,"dir":"Reference","previous_headings":"","what":"Maximum Cohen's Kappa — kap_max","title":"Maximum Cohen's Kappa — kap_max","text":"Cohen's Kappa (yardstick::kap()) measure similar yardstick::accuracy(), normalises observed accuracy value expected chance (helps unbalanced cases one class predominant).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Maximum Cohen's Kappa — kap_max","text":"","code":"kap_max(data, ...)  # S3 method for class 'data.frame' kap_max(   data,   truth,   ...,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL )  # S3 method for class 'sf' kap_max(data, ...)  kap_max_vec(   truth,   estimate,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Maximum Cohen's Kappa — kap_max","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimator One \"binary\", \"hand_till\", \"macro\", \"macro_weighted\" specify type averaging done. \"binary\" relevant two class case. others general methods calculating multiclass metrics. default automatically choose \"binary\" truth binary, \"hand_till\" truth >2 levels case_weights specified, \"macro\" truth >2 levels case_weights specified (case \"hand_till\" well-defined). na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\" case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Maximum Cohen's Kappa — kap_max","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Maximum Cohen's Kappa — kap_max","text":"function calibrates probability threshold classify presences maximises kappa. multiclass version function, operates binary predictions (e.g. presences absences SDMs).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Maximum Cohen's Kappa — kap_max","text":"Cohen, J. (1960). \"coefficient agreement nominal scales\". Educational Psychological Measurement. 20 (1): 37-46. Cohen, J. (1968). \"Weighted kappa: Nominal scale agreement provision scaled disagreement partial credit\". Psychological Bulletin. 70 (4): 213-220.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Maximum Cohen's Kappa — kap_max","text":"","code":"kap_max(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #>   .metric .estimator .estimate #>                 #> 1 kap_max binary         0.725"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a geographic distance from km to m — km2m","title":"Convert a geographic distance from km to m — km2m","text":"function takes distance km converts meters, units generally used geographic operations R. trivial conversion, functions ensures zeroes lost along way!","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a geographic distance from km to m — km2m","text":"","code":"km2m(x)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a geographic distance from km to m — km2m","text":"x number km","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a geographic distance from km to m — km2m","text":"number meters","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a geographic distance from km to m — km2m","text":"","code":"km2m(10000) #> [1] 1e+07 km2m(1) #> [1] 1000"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta.html","id":null,"dir":"Reference","previous_headings":"","what":"Coordinates of presences for Iberian emerald lizard — lacerta","title":"Coordinates of presences for Iberian emerald lizard — lacerta","text":"Coordinates presences Lacerta schreiberi. variables follows:","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coordinates of presences for Iberian emerald lizard — lacerta","text":"","code":"lacerta"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Coordinates of presences for Iberian emerald lizard — lacerta","text":"tibble 1,297 rows 3 variables: ID ids GBIF latitude latitudes degrees longitude longitudes degrees","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"A simple ensemble for the lacerta data — lacerta_ensemble","title":"A simple ensemble for the lacerta data — lacerta_ensemble","text":"Ensemble SDM Lacerta schreiberi, generated vignette.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A simple ensemble for the lacerta data — lacerta_ensemble","text":"","code":"lacerta_ensemble"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_ensemble.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A simple ensemble for the lacerta data — lacerta_ensemble","text":"simple_ensemble object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_rep_ens.html","id":null,"dir":"Reference","previous_headings":"","what":"A repeat ensemble for the lacerta data — lacerta_rep_ens","title":"A repeat ensemble for the lacerta data — lacerta_rep_ens","text":"Ensemble SDM Lacerta schreiberi, generated vignette.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_rep_ens.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A repeat ensemble for the lacerta data — lacerta_rep_ens","text":"","code":"lacerta_rep_ens"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_rep_ens.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A repeat ensemble for the lacerta data — lacerta_rep_ens","text":"repeat_ensemble object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacertidae_background.html","id":null,"dir":"Reference","previous_headings":"","what":"Coordinates of presences for lacertidae in the Iberian peninsula — lacertidae_background","title":"Coordinates of presences for lacertidae in the Iberian peninsula — lacertidae_background","text":"Coordinates presences lacertidae, used background lacerta dataset.. variables follows:","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacertidae_background.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coordinates of presences for lacertidae in the Iberian peninsula — lacertidae_background","text":"","code":"lacertidae_background"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacertidae_background.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Coordinates of presences for lacertidae in the Iberian peninsula — lacertidae_background","text":"tibble 1,297 rows 3 variables: ID ids GBIF latitude latitudes degrees longitude longitudes degrees","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":null,"dir":"Reference","previous_headings":"","what":"Make a mask from presence data — make_mask_from_presence","title":"Make a mask from presence data — make_mask_from_presence","text":"functions uses presence column create mask apply raster define area interest. Two methods available: one uses buffer around presence, one create convex hull around presences (possibility adding buffer around hull).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make a mask from presence data — make_mask_from_presence","text":"","code":"make_mask_from_presence(data, method = \"buffer\", buffer = 0, return_sf = FALSE)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make a mask from presence data — make_mask_from_presence","text":"data sf::sf data frame presences.. method method use create mask. Either 'buffer' 'convex_hull' buffer buffer add around presence (units crs data; lat/lon, buffer meters), around convex hull (method 'convex_hull') return_sf whether return mask sf object (TRUE) terra::SpatVector object (FALSE, default)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make a mask from presence data — make_mask_from_presence","text":"terra::SpatVector sf object (depending value return_sf) mask","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Make a mask from presence data — make_mask_from_presence","text":"use terra::mask() raster, use return_sf = FALSE get terra::SpatVector object can used masking.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make a mask from presence data — make_mask_from_presence","text":"","code":"lacerta_sf <- lacerta %>% sf::st_as_sf(coords = c(\"longitude\", \"latitude\")) %>% sf::st_set_crs(4326) land_mask <- terra::readRDS(system.file(\"extdata/lacerta_land_mask.rds\", package = \"tidysdm\")) mask_buffer <- make_mask_from_presence(lacerta_sf, method = \"buffer\", buffer = 60000) terra::plot(terra::mask(land_mask, mask_buffer))  mask_ch <- make_mask_from_presence(lacerta_sf, method = \"convex_hull\") terra::plot(terra::mask(land_mask, mask_ch))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":null,"dir":"Reference","previous_headings":"","what":"MaxEnt model — maxent","title":"MaxEnt model — maxent","text":"maxent defines MaxEnt model used Species Distribution Models. good guide options MaxEnt model work can found https://onlinelibrary.wiley.com/doi/full/10.1111/j.1600-0587.2013.07872.x","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MaxEnt model — maxent","text":"","code":"maxent(   mode = \"classification\",   engine = \"maxnet\",   feature_classes = NULL,   regularization_multiplier = NULL )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MaxEnt model — maxent","text":"mode single character string type model. possible value model \"classification\". engine single character string specifying computational engine use fitting. Currently \"maxnet\" available. feature_classes character, continuous feature classes desired, either \"default\" subset \"lqpht\" (example, \"lh\") regularization_multiplier numeric, constant adjust regularization","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"MaxEnt model — maxent","text":"parsnip::model_spec maxent model","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"MaxEnt model — maxent","text":"","code":"# \\donttest{ # format the data data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>%   dplyr::mutate(presence = relevel(     factor(       dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")     ),     ref = \"presence\"   )) %>%   select(-ecoreg)  # fit the model, and make some predictions maxent_spec <- maxent(feature_classes = \"lq\") maxent_fitted <- maxent_spec %>%   fit(presence ~ ., data = bradypus_tb) pred_prob <- predict(maxent_fitted, new_data = bradypus[, -1], type = \"prob\") pred_class <- predict(maxent_fitted, new_data = bradypus[, -1], type = \"class\")  # Now with tuning maxent_spec <- maxent(   regularization_multiplier = tune(),   feature_classes = tune() ) set.seed(452) cv <- vfold_cv(bradypus_tb, v = 2) maxent_tune_res <- maxent_spec %>%   tune_grid(presence ~ ., cv, grid = 3) show_best(maxent_tune_res, metric = \"roc_auc\") #> # A tibble: 3 × 8 #>   feature_classes regularization_multip…¹ .metric .estimator  mean     n std_err #>                                               #> 1 l                                  1.02 roc_auc binary     0.857     2  0.0143 #> 2 lqph                               1.90 roc_auc binary     0.856     2  0.0121 #> 3 lqph                               2.50 roc_auc binary     0.854     2  0.0123 #> # ℹ abbreviated name: ¹​regularization_multiplier #> # ℹ 1 more variable: .config  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Parameters for maxent models — maxent_params","title":"Parameters for maxent models — maxent_params","text":"parameters auxiliary MaxEnt models using \"maxnet\" engine. functions used tuning functions, user rarely access directly.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Parameters for maxent models — maxent_params","text":"","code":"regularization_multiplier(range = c(0.5, 3), trans = NULL)  feature_classes(values = c(\"l\", \"lq\", \"lqp\", \"lqph\", \"lqpht\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Parameters for maxent models — maxent_params","text":"range two-element vector holding defaults smallest largest possible values, respectively. transformation specified, values transformed units. trans trans object scales package, scales::log10_trans() scales::reciprocal_trans(). provided, default used matches units used range. transformation, NULL. values feature_classes(), character string subset \"lqpht\" (example, \"lh\")","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Parameters for maxent models — maxent_params","text":"param object can used tuning.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Parameters for maxent models — maxent_params","text":"","code":"regularization_multiplier() #> Reg. multiplier (quantitative) #> Range: [0.5, 3] feature_classes() #> Feature classes  (qualitative) #> 5 possible values include: #> 'l', 'lq', 'lqp', 'lqph' and 'lqpht'"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper to fit maxnet models with formulae — maxnet_fit","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"function wrapper around maxnet::maxnet, takes formula data well exposing parameters normalisation manner compatible parsnip. Users unlikely use function directly.  parsnip model specification MaxEnt, see maxent().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"","code":"maxnet_fit(   formula,   data,   regmult = 1,   classes = \"default\",   regfun = maxnet::maxnet.default.regularization,   addsamplestobackground = TRUE,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"formula formula defining outcome predictors data data.frame outcomes predictors regmult numeric, constant adjust regularization classes character, continuous feature classes desired, either \"default\" subset \"lqpht\" (example, \"lh\") regfun function, computes regularization constant feature addsamplestobackground logical, TRUE add background presence sample already ... currently used.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"Maxnet returns object class maxnet, list consisting glmnet model following elements added: betas nonzero coefficients fitted model alpha constant offset making exponential model sum one background data entropy entropy exponential model penalty.factor regularization constants used feature featuremins minimum feature, used clamping featuremaxs maximum feature, used clamping varmin minimum predictor, used clamping varmax maximum predictor, used clamping samplemeans mean predictor samples (majority factors) levels levels predictor factor","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"response needs factor class representing presences reference level factor (expected classification models). good guide options Maxent model work can found https://onlinelibrary.wiley.com/doi/full/10.1111/j.1600-0587.2013.07872.x","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"","code":"# \\donttest{ # we repeat the example in the `maxnet` package data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>%   dplyr::mutate(presence = relevel(     factor(       dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")     ),     ref = \"presence\"   )) mod <- maxnet_fit(presence ~ ., data = bradypus_tb, classes = \"lq\") plot(mod, \"tmp6190_ann\")  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_predict.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper to predict maxnet models — maxnet_predict","title":"Wrapper to predict maxnet models — maxnet_predict","text":"function wrapper around predict method maxnet::maxnet, making function compatible parsnip. Users unlikely use function directly.  parsnip model specification MaxEnt, see maxent().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_predict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wrapper to predict maxnet models — maxnet_predict","text":"","code":"maxnet_predict(   object,   newdata,   type = c(\"class\", \"prob\"),   maxnet_type = c(\"cloglog\", \"link\", \"exponential\", \"logistic\"),   clamp = TRUE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_predict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wrapper to predict maxnet models — maxnet_predict","text":"object maxnet::maxnet object newdata dataframe new data type either \"prob\" \"class\" maxnet_type transformation used prediction clamp logical, defining whether clamping observed ranges used","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_predict.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper to predict maxnet models — maxnet_predict","text":"tibble predictions","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute overlap metrics of the two niches — niche_overlap","title":"Compute overlap metrics of the two niches — niche_overlap","text":"function computes overlap metrics two rasters. currently implements Schoener's D inverse Hellinger's distance.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute overlap metrics of the two niches — niche_overlap","text":"","code":"niche_overlap(x, y, method = c(\"Schoener\", \"Hellinger\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute overlap metrics of the two niches — niche_overlap","text":"x terra::SpatRaster single layer y terra::SpatRaster single layer method string (vector strings) taking values \"Schoener\" \"Hellinger\"","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute overlap metrics of the two niches — niche_overlap","text":"list overlap metrics, slots D (depending method)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute overlap metrics of the two niches — niche_overlap","text":"Note Hellinger's distance normalised dividing square root 2 (correct asymptote Hellinger's D), rather incorrect 2 used originally Warren et al (2008), based Erratum paper.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute overlap metrics of the two niches — niche_overlap","text":"Warren, D.L., Glor, R.E. & Turelli M. (2008) Environmental niche equivalency versus conservativism: quantitative approaches niche evolution. Evolution 62: 2868-2883","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":null,"dir":"Reference","previous_headings":"","what":"Find threshold that optimises a given metric — optim_thresh","title":"Find threshold that optimises a given metric — optim_thresh","text":"function returns threshold turn probabilities binary classes whilst optimising given metric. Currently available tss_max, kap_max sensitivity (target sensitivity required).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find threshold that optimises a given metric — optim_thresh","text":"","code":"optim_thresh(truth, estimate, metric, event_level = \"first\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find threshold that optimises a given metric — optim_thresh","text":"truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate predicted probability event metric character metric optimised. Currently \"tss_max\", \"kap_max\", \"sensitivity\" given target (e.g. c(\"sensitivity\",0.8)) event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\"","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find threshold that optimises a given metric — optim_thresh","text":"probability threshold event","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find threshold that optimises a given metric — optim_thresh","text":"","code":"optim_thresh(two_class_example$truth, two_class_example$Class1, metric = c(\"tss_max\")) #> [1] 0.7544818 optim_thresh(two_class_example$truth, two_class_example$Class1, metric = c(\"sens\", 0.9)) #> [1] 0.3710924"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_kap_max.html","id":null,"dir":"Reference","previous_headings":"","what":"Find threshold that maximises Kappa — optim_thresh_kap_max","title":"Find threshold that maximises Kappa — optim_thresh_kap_max","text":"internal function returns threshold turn probabilities binary classes maximise kappa","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_kap_max.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find threshold that maximises Kappa — optim_thresh_kap_max","text":"","code":"optim_thresh_kap_max(presences, absences)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_kap_max.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find threshold that maximises Kappa — optim_thresh_kap_max","text":"presences Probabilities presences. absences Provabilities absences","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_kap_max.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find threshold that maximises Kappa — optim_thresh_kap_max","text":"probability threshold event","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_sens.html","id":null,"dir":"Reference","previous_headings":"","what":"Find threshold that gives a target sensitivity — optim_thresh_sens","title":"Find threshold that gives a target sensitivity — optim_thresh_sens","text":"internal function returns threshold turn probabilities binary classes given target sensitivity","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_sens.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find threshold that gives a target sensitivity — optim_thresh_sens","text":"","code":"optim_thresh_sens(presences, absences, sens_target)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_sens.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find threshold that gives a target sensitivity — optim_thresh_sens","text":"presences Probabilities presences. absences Provabilities absences sens_target target sensitivity","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_sens.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find threshold that gives a target sensitivity — optim_thresh_sens","text":"probability threshold event","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_tss_max.html","id":null,"dir":"Reference","previous_headings":"","what":"Find threshold that maximises TSS — optim_thresh_tss_max","title":"Find threshold that maximises TSS — optim_thresh_tss_max","text":"internal function returns threshold turn probabilities binary classes maximise TSS","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_tss_max.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find threshold that maximises TSS — optim_thresh_tss_max","text":"","code":"optim_thresh_tss_max(presences, absences)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_tss_max.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find threshold that maximises TSS — optim_thresh_tss_max","text":"presences Probabilities presences. absences Provabilities absences","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_tss_max.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find threshold that maximises TSS — optim_thresh_tss_max","text":"probability threshold event","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/out_of_range_warning.html","id":null,"dir":"Reference","previous_headings":"","what":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","title":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","text":"function helps making sure , assign times time_step layers raster, values badly range","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/out_of_range_warning.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","text":"","code":"out_of_range_warning(times, time_steps)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/out_of_range_warning.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","text":"times times locations time_steps time steps raster","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/out_of_range_warning.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","text":"NULL return","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pairs-stars-method.html","id":null,"dir":"Reference","previous_headings":"","what":"This is a wrapper around graphics::pairs() that accepts stars objects. It is adapted from a similar function in the terra package. — pairs,stars-method","title":"This is a wrapper around graphics::pairs() that accepts stars objects. It is adapted from a similar function in the terra package. — pairs,stars-method","text":"wrapper around graphics::pairs() accepts stars objects. adapted similar function terra package.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pairs-stars-method.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"This is a wrapper around graphics::pairs() that accepts stars objects. It is adapted from a similar function in the terra package. — pairs,stars-method","text":"","code":"# S4 method for class 'stars' pairs(   x,   hist = TRUE,   cor = TRUE,   use = \"pairwise.complete.obs\",   maxcells = 1e+05,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pairs-stars-method.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"This is a wrapper around graphics::pairs() that accepts stars objects. It is adapted from a similar function in the terra package. — pairs,stars-method","text":"x SpatRaster hist logical. TRUE histogram values shown diagonal cor logical. TRUE correlation coefficient shown upper panels use argument passed cor function maxcells integer. Number pixels sample layer large SpatRaster ... additional arguments (graphical parameters)","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pipe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pipe operator — %>%","text":"lhs value magrittr placeholder. rhs function call using magrittr semantics.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"result calling rhs(lhs).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot presences vs background — plot_pres_vs_bg","title":"Plot presences vs background — plot_pres_vs_bg","text":"Create composite plots contrasting distribution multiple variables presences vs background.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot presences vs background — plot_pres_vs_bg","text":"","code":"plot_pres_vs_bg(.data, .col)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot presences vs background — plot_pres_vs_bg","text":".data data.frame (derived object, tibble::tibble, sf::st_sf) values bioclimate variables presences background .col column containing presences; assumes presences first level factor","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot presences vs background — plot_pres_vs_bg","text":"patchwork composite plot","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot presences vs background — plot_pres_vs_bg","text":"","code":"# \\donttest{ data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>%   dplyr::mutate(presence = relevel(     factor(       dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")     ),     ref = \"presence\"   )) %>%   select(-ecoreg)  bradypus_tb %>% plot_pres_vs_bg(presence)  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.repeat_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict for a repeat ensemble set — predict.repeat_ensemble","title":"Predict for a repeat ensemble set — predict.repeat_ensemble","text":"Predict new dataset using repeat ensemble. Predictions individual models combined according fun","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.repeat_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict for a repeat ensemble set — predict.repeat_ensemble","text":"","code":"# S3 method for class 'repeat_ensemble' predict(   object,   new_data,   type = \"prob\",   fun = \"mean\",   metric_thresh = NULL,   class_thresh = NULL,   members = FALSE,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.repeat_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict for a repeat ensemble set — predict.repeat_ensemble","text":"object repeat_ensemble object new_data data frame look variables predict. type type prediction, \"prob\" \"class\". fun string defining aggregating function. can take values mean, median, weighted_mean, weighted_median none. possible combine multiple functions, except \"none\". set \"none\", individual member predictions returned (automatically sets member TRUE) metric_thresh vector length 2 giving metric threshold, used prune models ensemble used prediction. 'metrics' need computed workflow tuned. Examples c(\"accuracy\",0.8) c(\"boyce_cont\",0.7) class_thresh probability threshold used convert probabilities classes. can number (0 1), character metric (currently \"tss_max\" \"sensitivity\"). sensitivity, additional target value passed along second element vector, e.g. c(\"sensitivity\",0.8). members boolean defining whether individual predictions member added ensemble prediction. columns individual members name workflow prefix, separated \".\" usual column names predictions. ... used method.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.repeat_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Predict for a repeat ensemble set — predict.repeat_ensemble","text":"tibble predictions","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.simple_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict for a simple ensemble set — predict.simple_ensemble","title":"Predict for a simple ensemble set — predict.simple_ensemble","text":"Predict new dataset using simple ensemble. Predictions individual models (.e. workflows) combined according fun","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.simple_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict for a simple ensemble set — predict.simple_ensemble","text":"","code":"# S3 method for class 'simple_ensemble' predict(   object,   new_data,   type = \"prob\",   fun = \"mean\",   metric_thresh = NULL,   class_thresh = NULL,   members = FALSE,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.simple_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict for a simple ensemble set — predict.simple_ensemble","text":"object simple_ensemble object new_data data frame look variables predict. type type prediction, \"prob\" \"class\". fun string defining aggregating function. can take values mean, median, weighted_mean, weighted_median none. possible combine multiple functions, except \"none\". set \"none\", individual member predictions returned (automatically sets member TRUE) metric_thresh vector length 2 giving metric threshold, used prune models ensemble used prediction. 'metrics' need computed workflow tuned. Examples c(\"accuracy\",0.8) c(\"boyce_cont\",0.7) class_thresh probability threshold used convert probabilities classes. can number (0 1), character metric (currently \"tss_max\" \"sensitivity\"). sensitivity, additional target value passed along second element vector, e.g. c(\"sensitivity\",0.8). members boolean defining whether individual predictions member added ensemble prediction. columns individual members name workflow prefix, separated \".\" usual column names predictions. ... used method.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.simple_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Predict for a simple ensemble set — predict.simple_ensemble","text":"tibble predictions","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict_raster.html","id":null,"dir":"Reference","previous_headings":"","what":"Make predictions for a whole raster — predict_raster","title":"Make predictions for a whole raster — predict_raster","text":"function allows use raster data make predictions variety tidymodels objects, simple_ensemble stacks::stacks","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict_raster.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make predictions for a whole raster — predict_raster","text":"","code":"predict_raster(object, raster, ...)  # Default S3 method predict_raster(object, raster, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict_raster.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make predictions for a whole raster — predict_raster","text":"object tidymodels object interest raster terra::SpatRaster stars input data. include levels names variables used object ... parameters passed standard predict() function appropriate object type (e.g. metric_thresh class_thresh).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict_raster.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make predictions for a whole raster — predict_raster","text":"terra::SpatRaster (stars input) predictions","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":null,"dir":"Reference","previous_headings":"","what":"Probability metrics for sf objects — prob_metrics_sf","title":"Probability metrics for sf objects — prob_metrics_sf","text":"tidysdm provides specialised metrics SDMs, help pages(boyce_cont(), kap_max(), tss_max()). Additionally, also provides methods handle sf::sf objects following standard yardstick metrics: yardstick::average_precision() yardstick::brier_class() yardstick::classification_cost() yardstick::gain_capture() yardstick::mn_log_loss() yardstick::pr_auc() yardstick::roc_auc() yardstick::roc_aunp() yardstick::roc_aunu()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Probability metrics for sf objects — prob_metrics_sf","text":"","code":"# S3 method for class 'sf' average_precision(data, ...)  # S3 method for class 'sf' brier_class(data, ...)  # S3 method for class 'sf' classification_cost(data, ...)  # S3 method for class 'sf' gain_capture(data, ...)  # S3 method for class 'sf' mn_log_loss(data, ...)  # S3 method for class 'sf' pr_auc(data, ...)  # S3 method for class 'sf' roc_auc(data, ...)  # S3 method for class 'sf' roc_aunp(data, ...)  # S3 method for class 'sf' roc_aunu(data, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Probability metrics for sf objects — prob_metrics_sf","text":"data sf::sf object ... parameters pass data.frame version metric. See specific man page metric interest.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Probability metrics for sf objects — prob_metrics_sf","text":"tibble columns .metric, .estimator, .estimate 1 row values.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Probability metrics for sf objects — prob_metrics_sf","text":"Note roc_aunp roc_aunu multiclass metrics, relevant SDMs (work binary response). included completeness, class probability metrics yardstick sf method, applications SDMs.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_to_binary.html","id":null,"dir":"Reference","previous_headings":"","what":"simple function to convert probability to binary classes — prob_to_binary","title":"simple function to convert probability to binary classes — prob_to_binary","text":"simple function convert probability binary classes","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_to_binary.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"simple function to convert probability to binary classes — prob_to_binary","text":"","code":"prob_to_binary(x, thresh, class_levels)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_to_binary.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"simple function to convert probability to binary classes — prob_to_binary","text":"x vector probabilities thresh threshold convert binary class_levels binary levels","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_to_binary.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"simple function to convert probability to binary classes — prob_to_binary","text":"vector binary values","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":null,"dir":"Reference","previous_headings":"","what":"Recipe for sf objects — recipe.sf","title":"Recipe for sf objects — recipe.sf","text":"method recipes::recipe() handles case x sf::sf object, commonly used Species Distribution Model, generates spatial_recipe.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Recipe for sf objects — recipe.sf","text":"","code":"# S3 method for class 'sf' recipe(x, ...)  spatial_recipe(x, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Recipe for sf objects — recipe.sf","text":"x sf::sf data frame. ... parameters passed recipes::recipe()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Recipe for sf objects — recipe.sf","text":"object class spatial_recipe, derived version recipes::recipe() , see manpage recipes::recipe() details.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Recipe for sf objects — recipe.sf","text":"recipes::recipe() natively compatible sf::sf objects. problem geometry column sf::sf objects list, incompatible translation formulae recipes::recipe(). method strips geometry column data.frame replaces simple X Y columns operations, thus allowing usual processing recipes::recipe() succeed (X Y give role coords spatial recipe). prepping baking spatial_recipe, data.frame tibble without coordinates used training new_data, dummy X Y columns generated filled NAs. NOTE order matters! need use syntax recipe(x=sf_obj, formula=class~.) method successfully detect sf::sf object. Starting formula fail.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/repeat_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Repeat ensemble — repeat_ensemble","title":"Repeat ensemble — repeat_ensemble","text":"ensemble based multiple sets pseudoabsences/background. object collection (list) simple_ensemble objects predictions combined simple way (e.g. taking either mean median). simple_ensemble contains best version given model type following turning; simple ensembles need metric estimated cv process.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/repeat_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Repeat ensemble — repeat_ensemble","text":"","code":"repeat_ensemble(...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/repeat_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Repeat ensemble — repeat_ensemble","text":"... used, function just creates empty repeat_ensemble object. Members added add_best_candidates()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/repeat_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Repeat ensemble — repeat_ensemble","text":"empty repeat_ensemble","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample background points for SDM analysis — sample_background","title":"Sample background points for SDM analysis — sample_background","text":"function samples background points raster given set presences. locations returned center points sampled cells, can overlap presences (contrast pseudo-absences, see sample_pseudoabs). following methods implemented: 'random': background randomly sampled region covered raster (.e. NAs). 'dist_max': background randomly sampled unioned buffers 'dist_max' presences (distances 'm' lonlat rasters, map units projected rasters). Using union buffers means areas multiple buffers oversampled. also referred \"thickening\". 'bias': background points sampled according surface representing biased sampling effort.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample background points for SDM analysis — sample_background","text":"","code":"sample_background(   data,   raster,   n,   coords = NULL,   method = \"random\",   class_label = \"background\",   return_pres = TRUE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample background points for SDM analysis — sample_background","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster stars cells sampled (first layer used determine cells NAs, thus can sampled). sampling \"bias\", sampling probability proportional values first layer (.e. band) raster. n number background points sample. coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\"). method sampling method. One 'random', 'dist_max', 'bias'. dist_max, maximum distance set additional element vector, e.g c('dist_max',70000). class_label label given sampled points. Defaults background return_pres return presences together background single tibble.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample background points for SDM analysis — sample_background","text":"object class tibble::tibble. presences returned, presence level set reference (match expectations yardstick package considers first level event).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sample background points for SDM analysis — sample_background","text":"Note units distance depend projection raster.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample background points for SDM analysis for points with a time point. — sample_background_time","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"function samples background points raster given set presences. locations returned center points sampled cells, can overlap presences (contrast pseudo-absences, see sample_pseudoabs_time). following methods implemented: 'random': background points randomly sampled region covered raster (.e. NAs). 'dist_max': background points randomly sampled unioned buffers 'dist_max' presences (distances 'm' lonlat rasters, map units projected rasters). Using union buffers means areas multiple buffers oversampled. also referred \"thickening\". 'bias': background points sampled according surface representing biased sampling effort. Note surface time step normalised sum 1;use n_per_time_step affect sampling effort within time step.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"","code":"sample_background_time(   data,   raster,   n_per_time_step,   coords = NULL,   time_col = \"time\",   lubridate_fun = c,   method = \"random\",   class_label = \"background\",   return_pres = TRUE,   time_buffer = 0 )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster, stars terra::SpatRasterDataset cells sampled. terra::SpatRasterDataset, first dataset used define cells valid, NAs. n_per_time_step number background points sample time step (.e. vector length equal number time steps raster) coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") time_col name column time; time lubridate object, use lubridate_fun provide function can used convert appropriately lubridate_fun function convert time column lubridate object method sampling method. One 'random', 'dist_max', 'bias'. class_label label given sampled points. Defaults background return_pres return presences together background single tibble time_buffer buffer time axis around presences defines effect sampling background method 'max_dist'. set zero, presences effect time step assigned raster; positive value, defines number days date provided time column presence considered (e.g. 20 days means presence considered time steps equivalent plus minus twenty days date).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"object class tibble::tibble. presences returned, presence level set reference (match expectations yardstick package considers first level event)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"Note time axis raster POSIXct Date format, use `tstep=\"years\"'. See terra::time() details set time axis.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","title":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","text":"function samples pseudo-absence points raster given set presences. locations returned center points sampled cells, can overlap presences (contrast background points, see sample_background). following methods implemented: 'random': pseudo-absences randomly sampled region covered raster (.e. NAs). 'dist_min': pseudo-absences randomly sampled region excluding buffer 'dist_min' presences (distances 'm' lonlat rasters, map units projected rasters). 'dist_max': pseudo-absences randomly sampled unioned buffers 'dist_max' presences (distances 'm' lonlat rasters, map units projected rasters). Using union buffers means areas multiple buffers oversampled. also referred \"thickening\". 'dist_disc': pseudo-absences randomly sampled unioned discs around presences two values 'dist_disc' defining minimum maximum distance presences.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","text":"","code":"sample_pseudoabs(   data,   raster,   n,   coords = NULL,   method = \"random\",   class_label = \"pseudoabs\",   return_pres = TRUE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster stars cells sampled n number pseudoabsence points sample coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") method sampling method. One 'random', 'dist_min', 'dist_max', 'dist_disc'. Threshold distances set additional elements vector, e.g c('dist_min',70000) c('dist_disc',50000,200000). class_label label given sampled points. Defaults pseudoabs return_pres return presences together pseudoabsences single tibble","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","text":"object class tibble::tibble. presences returned, presence level set reference (match expectations yardstick package considers first level event)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"function samples pseudo-absence points raster given set presences. locations returned center points sampled cells, can overlap presences (contrast background points, see sample_background_time). following methods implemented: 'random': pseudo-absences randomly sampled region covered raster (.e. NAs). 'dist_min': pseudo-absences randomly sampled region excluding buffer 'dist_min' presences (distances 'm' lonlat rasters, map units projected rasters). 'dist_max': pseudo-absences randomly sampled unioned buffers 'dist_max' presences (distances 'm' lonlat rasters, map units projected rasters). Using union buffers means areas multiple buffers oversampled. also referred \"thickening\". 'dist_disc': pseudo-absences randomly sampled unioned discs around presences two values 'dist_disc' defining minimum maximum distance presences.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"","code":"sample_pseudoabs_time(   data,   raster,   n_per_presence,   coords = NULL,   time_col = \"time\",   lubridate_fun = c,   method = \"random\",   class_label = \"pseudoabs\",   return_pres = TRUE,   time_buffer = 0 )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster, stars terra::SpatRasterDataset cells sampled. terra::SpatRasterDataset, first dataset used define cells valid, NAs. n_per_presence number pseudoabsence points sample presence coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") time_col name column time; time lubridate object, use lubridate_fun provide function can used convert appropriately lubridate_fun function convert time column lubridate object method sampling method. One 'random', 'dist_min', 'dist_max', 'dist_disc'. class_label label given sampled points. Defaults pseudoabs return_pres return presences together pseudoabsences single tibble time_buffer buffer time axis around presences defines effect sampling pseudoabsences. set zero, presences effect time step assigned raster; positive value, defines number days date provided time column presence considered (e.g. 20 days means presence considered time steps equivalent plus minus twenty days date).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"object class tibble::tibble. presences returned, presence level set reference (match expectations yardstick package considers first level event)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"#' @details Note time axis raster POSIXct Date format, use `tstep=\"years\"'. See terra::time() details set time axis.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":null,"dir":"Reference","previous_headings":"","what":"Metric set for SDM — sdm_metric_set","title":"Metric set for SDM — sdm_metric_set","text":"function returns yardstick::metric_set includes boyce_cont(), yardstick::roc_auc() tss_max(), commonly used metrics SDM.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Metric set for SDM — sdm_metric_set","text":"","code":"sdm_metric_set(...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Metric set for SDM — sdm_metric_set","text":"... additional metrics added yardstick::metric_set. See help yardstick::metric_set() constraints type metrics can mixed.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Metric set for SDM — sdm_metric_set","text":"yardstick::metric_set object.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Metric set for SDM — sdm_metric_set","text":"","code":"sdm_metric_set() #> A metric set, consisting of: #> - `boyce_cont()`, a probability metric | direction: maximize #> - `roc_auc()`, a probability metric    | direction: maximize #> - `tss_max()`, a probability metric    | direction: maximize sdm_metric_set(accuracy) #> A metric set, consisting of: #> - `boyce_cont()`, a probability metric | direction: maximize #> - `roc_auc()`, a probability metric    | direction: maximize #> - `tss_max()`, a probability metric    | direction: maximize #> - `accuracy()`, a class metric         | direction: maximize"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"function returns parsnip::model_spec Boosted Trees model used classifier presences absences Species Distribution Model. uses library xgboost fit boosted trees; use another library, simply build parsnip::model_spec directly.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"","code":"sdm_spec_boost_tree(..., tune = c(\"sdm\", \"all\", \"custom\", \"none\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"... parameters passed parsnip::boost_tree() customise model. See help function details. tune character defining tuning strategy. Valid strategies : \"sdm\" chooses hyperparameters important tune sdm (boost_tree: 'mtry', 'trees', 'tree_depth', 'learn_rate', 'loss_reduction', 'stop_iter') \"\" tunes hyperparameters (boost_tree: 'mtry', 'trees', 'tree_depth', 'learn_rate', 'loss_reduction', 'stop_iter','min_n' 'sample_size') \"custom\" passes options '...' \"none\" tune hyperparameter","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"parsnip::model_spec model.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"","code":"standard_bt_spec <- sdm_spec_boost_tree() full_bt_spec <- sdm_spec_boost_tree(tune = \"all\") custom_bt_spec <- sdm_spec_boost_tree(tune = \"custom\", mtry = tune())"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a GAM for SDM — sdm_spec_gam","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"function returns parsnip::model_spec General Additive Model used classifier presences absences Species Distribution Model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"","code":"sdm_spec_gam(..., tune = \"none\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"... parameters passed parsnip::gen_additive_mod() customise model. See help function details. tune character defining tuning strategy. hyperparameters tune gam, valid option \"none\". parameter present consistency sdm_spec_* functions, nothing case.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"parsnip::model_spec model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"Note , using GAMs workflow_set(), necessary update model gam_formula() (see parsnip::model_formula discussion formulas special terms tidymodels):","code":"workflow_set(   preproc = list(default = my_recipe),   models = list(gam = sdm_spec_gam()),   cross = TRUE ) %>% update_workflow_model(\"default_gam\",                             spec = sdm_spec_gam(),                             formula = gam_formula(my_recipe))"},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"","code":"my_gam_spec <- sdm_spec_gam()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a GLM for SDM — sdm_spec_glm","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"function returns parsnip::model_spec Generalised Linear Model used classifier presences absences Species Distribution Model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"","code":"sdm_spec_glm(..., tune = \"none\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"... parameters passed parsnip::logistic_reg() customise model. See help function details. tune character defining tuning strategy. hyperparameters tune glm, valid option \"none\". parameter present consistency sdm_spec_* functions, nothing case.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"parsnip::model_spec model.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"","code":"my_spec_glm <- sdm_spec_glm()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"function returns parsnip::model_spec MaxEnt model used Species Distribution Models.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"","code":"sdm_spec_maxent(..., tune = c(\"sdm\", \"all\", \"custom\", \"none\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"... parameters passed maxent() customise model. See help function details. tune character defining tuning strategy. Valid strategies : \"sdm\" chooses hyper-parameters important tune sdm (maxent, 'mtry') \"\" tunes hyperparameters (maxent, 'mtry', 'trees' 'min') \"custom\" passes options '...' \"none\" tune hyperparameter","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"parsnip::model_spec model.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"","code":"test_maxent_spec <- sdm_spec_maxent(tune = \"sdm\") test_maxent_spec #> maxent Model Specification (classification) #>  #> Main Arguments: #>   feature_classes = tune() #>   regularization_multiplier = tune() #>  #> Computational engine: maxnet  #>  # setting specific values sdm_spec_maxent(tune = \"custom\", feature_classes = \"lq\") #> maxent Model Specification (classification) #>  #> Main Arguments: #>   feature_classes = lq #>  #> Computational engine: maxnet  #>"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"function returns parsnip::model_spec Random Forest used classifier presences absences Species Distribution Models. uses library ranger fit boosted trees; use another library, simply build parsnip::model_spec directly.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"","code":"sdm_spec_rand_forest(..., tune = c(\"sdm\", \"all\", \"custom\", \"none\"))  sdm_spec_rf(..., tune = c(\"sdm\", \"all\", \"custom\", \"none\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"... parameters passed parsnip::rand_forest() customise model. See help function details. tune character defining tuning strategy. Valid strategies : \"sdm\" chooses hyperparameters important tune sdm (rf, 'mtry') \"\" tunes hyperparameters (rf, 'mtry', 'trees' 'min') \"custom\" passes options '...' \"none\" tune hyperparameter","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"parsnip::model_spec model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"sdm_spec_rf() simply short form sm_spec_rand_forest().","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"","code":"test_rf_spec <- sdm_spec_rf(tune = \"sdm\") test_rf_spec #> Random Forest Model Specification (classification) #>  #> Main Arguments: #>   mtry = tune() #>  #> Computational engine: ranger  #>  # combining tuning with specific values for other hyperparameters sdm_spec_rf(tune = \"sdm\", trees = 100) #> Random Forest Model Specification (classification) #>  #> Main Arguments: #>   mtry = tune() #>   trees = 100 #>  #> Computational engine: ranger  #>"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/simple_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Simple ensemble — simple_ensemble","title":"Simple ensemble — simple_ensemble","text":"simple ensemble collection workflows predictions combined simple way (e.g. taking either mean median). Usually workflows consists best version given model algorithm following tuning. workflows fitted full training dataset making predictions.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/simple_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simple ensemble — simple_ensemble","text":"","code":"simple_ensemble(...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/simple_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simple ensemble — simple_ensemble","text":"... used, function just creates empty simple_ensemble object. Members added add_best_candidates()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/simple_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simple ensemble — simple_ensemble","text":"empty simple_ensemble. tibble columns: wflow_id: name workflows best model chosen workflow: trained workflow objects metrics: metrics based crossvalidation resampling used tune models","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"spatial_initial_split creates single binary split data training set testing set. strategies package spatialsample available; random split strategy used generate initial split.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"","code":"spatial_initial_split(data, prop, strategy, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"data dataset (data.frame tibble) prop proportion data retained modelling/analysis. strategy sampling strategy spatialsample ... parameters passed strategy","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"rsplit object can used rsample::training rsample::testing functions extract data split.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"","code":"set.seed(123) block_initial <- spatial_initial_split(boston_canopy, prop = 1 / 5, spatial_block_cv) testing(block_initial) #> Simple feature collection with 153 features and 18 fields #> Geometry type: MULTIPOLYGON #> Dimension:     XY #> Bounding box:  xmin: 745098 ymin: 2915630 xmax: 805045.8 ymax: 2969840 #> Projected CRS: NAD83 / Massachusetts Mainland (ftUS) #> # A tibble: 153 × 19 #>    grid_id land_area canopy_gain canopy_loss canopy_no_change canopy_area_2014 #>                                                  #>  1 M-9      2690727.      52443.      53467.          304239.          357706. #>  2 Q-21     2690727.      54712.     101816.         1359305.         1461121. #>  3 AB-23     725043.      13737.      13278.           52628.           65906. #>  4 AC-15    1175032.      24517.      24010.          111148.          135158. #>  5 U-25     2691491.      83740.     117496.          601040.          718536. #>  6 Y-13     2691490.      79215.      41676.          312299.          353975. #>  7 M-10     2578879.      27026.      41240.          161115.          202355. #>  8 T-22     2691490.      80929.     140490.          573628.          714118. #>  9 AO-16    1717547.      64863.      52390.          465563.          517953. #> 10 X-23     2690728.      85198.     109044.          458205.          567249. #> # ℹ 143 more rows #> # ℹ 13 more variables: canopy_area_2019 , change_canopy_area , #> #   change_canopy_percentage , canopy_percentage_2014 , #> #   canopy_percentage_2019 , change_canopy_absolute , #> #   mean_temp_morning , mean_temp_evening , mean_temp , #> #   mean_heat_index_morning , mean_heat_index_evening , #> #   mean_heat_index , geometry  training(block_initial) #> Simple feature collection with 529 features and 18 fields #> Geometry type: MULTIPOLYGON #> Dimension:     XY #> Bounding box:  xmin: 739826.9 ymin: 2908294 xmax: 812069.7 ymax: 2970073 #> Projected CRS: NAD83 / Massachusetts Mainland (ftUS) #> # A tibble: 529 × 19 #>    grid_id land_area canopy_gain canopy_loss canopy_no_change canopy_area_2014 #>                                                  #>  1 AB-4      795045.      15323.       3126.           53676.           56802. #>  2 I-33      265813.       8849.      11795.           78677.           90472. #>  3 AO-9      270153        6187.       1184.           26930.           28114. #>  4 H-10     2691490.      73098.      80362.          345823.          426185. #>  5 V-7       107890.        219.       3612.             240.            3852. #>  6 Q-22     2648089.     122211.     154236.         1026632.         1180868. #>  7 X-4       848558.       8275.       1760.            6872.            8632. #>  8 P-18     2690726.     110928.     113146.          915137.         1028283. #>  9 J-29     2574479.      38069.      15530.         2388638.         2404168. #> 10 G-28     2641525.      87024.      39246.         1202528.         1241774. #> # ℹ 519 more rows #> # ℹ 13 more variables: canopy_area_2019 , change_canopy_area , #> #   change_canopy_percentage , canopy_percentage_2014 , #> #   canopy_percentage_2019 , change_canopy_absolute , #> #   mean_temp_morning , mean_temp_evening , mean_temp , #> #   mean_heat_index_morning , mean_heat_index_evening , #> #   mean_heat_index , geometry "},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":null,"dir":"Reference","previous_headings":"","what":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"function thins dataset one observation per cell retained.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"","code":"thin_by_cell(data, raster, coords = NULL, drop_na = TRUE, agg_fact = NULL)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster stars object defined grid coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") drop_na boolean whether locations NA raster dropped. agg_fact positive integer. Aggregation factor expressed number cells direction (horizontally vertically). two integers (horizontal vertical aggregation factor) three integers (also aggregating layers). Defaults NULL, implies aggregation (.e. thinning done grid raster)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"object class sf::sf data.frame, \"data\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"thinning can achieved aggregating cells raster thinning, achieved setting agg_fact > 1 (aggregation works manner equivalent terra::aggregate()).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":null,"dir":"Reference","previous_headings":"","what":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"function thins dataset one observation per cell per time slice retained. use raster layers time slices define data cube thinning enforced (see details time formatted).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"","code":"thin_by_cell_time(   data,   raster,   coords = NULL,   time_col = \"time\",   lubridate_fun = c,   drop_na = TRUE,   agg_fact = NULL )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster stars object defined grid layers corresponding time slices (times set either POSIXlt \"years\", see terra::time() details), terra::SpatRasterDataset first dataset used (, times dataset set either POSIXlt \"years\") terra::time() coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") time_col name column time; time lubridate object, use lubridate_fun provide function can used convert appropriately lubridate_fun function convert time column lubridate object drop_na boolean whether locations NA raster dropped. agg_fact positive integer. Aggregation factor expressed number cells direction (horizontally vertically). two integers (horizontal vertical aggregation factor) three integers (also aggregating layers). Defaults NULL, implies aggregation (.e. thinning done grid raster)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"object class sf::sf data.frame, \"data\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"spatial thinning can achieved aggregating cells raster thinning, achieved setting agg_fact > 1 (aggregation works manner equivalent terra::aggregate()).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":null,"dir":"Reference","previous_headings":"","what":"Thin points dataset based on geographic distance — thin_by_dist","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"function thins dataset observations distance greater \"dist_min\" retained.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"","code":"thin_by_dist(data, dist_min, coords = NULL)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). dist_min Minimum distance points (units appropriate projection, meters lonlat data). coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\")","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"object class sf::sf data.frame, \"data\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"Distances measured appropriate units projection used. case raw latitude longitude (e.g. provided data.frame), crs set WGS84, units set meters. function modified version algorithm spThin, adapted work sf objects.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":null,"dir":"Reference","previous_headings":"","what":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"function thins dataset observations distance greater \"dist_min\" space \"interval_min\" time retained.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"","code":"thin_by_dist_time(   data,   dist_min,   interval_min,   coords = NULL,   time_col = \"time\",   lubridate_fun = c )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). dist_min Minimum distance points (units appropriate projection, meters lonlat data). interval_min Minimum time interval points, days. coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") time_col name column time; time lubridate object, use lubridate_fun provide function can used convert appropriately lubridate_fun function convert time column lubridate object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"object class sf::sf data.frame, \"data\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"Geographic distances measured appropriate units projection used. case raw latitude longitude (e.g. provided data.frame), crs set WGS84, units set meters. Time interval estimated days. Note long time period, simple conversion x years = 365 * x days might lead slightly shorter intervals expected, ignores leap years. function y2d() provides closer approximation. function algorithm analogous spThin, exception neighbours defined terms space time.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tidysdm-package.html","id":null,"dir":"Reference","previous_headings":"","what":"tidysdm: Species Distribution Models with Tidymodels — tidysdm-package","title":"tidysdm: Species Distribution Models with Tidymodels — tidysdm-package","text":"Fit species distribution models (SDMs) using 'tidymodels' framework, provides standardised interface define models process outputs. 'tidysdm' expands 'tidymodels' providing methods spatial objects, models metrics specific SDMs, well number specialised functions process occurrences contemporary palaeo datasets. full functionalities package described Leonardi et al. (2023) doi:10.1101/2023.07.24.550358 .","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tidysdm-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"tidysdm: Species Distribution Models with Tidymodels — tidysdm-package","text":"Maintainer: Andrea Manica am315@cam.ac.uk Authors: Michela Leonardi Margherita Colucci Andrea Vittorio Pozzi Eleanor M.L. Scerri contributors: Ben Tupper [contributor]","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":null,"dir":"Reference","previous_headings":"","what":"TSS - True Skill Statistics — tss","title":"TSS - True Skill Statistics — tss","text":"True Skills Statistic, defined ","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"TSS - True Skill Statistics — tss","text":"","code":"tss(data, ...)  # S3 method for class 'data.frame' tss(   data,   truth,   estimate,   estimator = NULL,   na_rm = TRUE,   case_weights = NULL,   event_level = \"first\",   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"TSS - True Skill Statistics — tss","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... currently used. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate column identifier predicted class results (also factor). truth can specified different ways primary method use unquoted variable name. _vec() functions, factor vector. estimator One : \"binary\", \"macro\", \"macro_weighted\", \"micro\" specify type averaging done. \"binary\" relevant two class case. three general methods calculating multiclass metrics. default automatically choose \"binary\" \"macro\" based estimate. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default \"first\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"TSS - True Skill Statistics — tss","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"TSS - True Skill Statistics — tss","text":"sensitivity+specificity +1 function wrapper around yardstick::j_index(), another name quantity. Note function takes classes predicted model without calibration (.e. making split 0.5 probability). usually metric used Species Distribution Models, threshold recalibrated maximise TSS; purpose, use tss_max().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"TSS - True Skill Statistics — tss","text":"","code":"# Two class data(\"two_class_example\") tss(two_class_example, truth, predicted) #> # A tibble: 1 × 3 #>   .metric .estimator .estimate #>                 #> 1 tss     binary         0.673 # Multiclass library(dplyr) data(hpc_cv) # Groups are respected hpc_cv %>%   group_by(Resample) %>%   tss(obs, pred) #> # A tibble: 10 × 4 #>    Resample .metric .estimator .estimate #>                      #>  1 Fold01   tss     macro          0.434 #>  2 Fold02   tss     macro          0.422 #>  3 Fold03   tss     macro          0.533 #>  4 Fold04   tss     macro          0.449 #>  5 Fold05   tss     macro          0.431 #>  6 Fold06   tss     macro          0.413 #>  7 Fold07   tss     macro          0.398 #>  8 Fold08   tss     macro          0.468 #>  9 Fold09   tss     macro          0.435 #> 10 Fold10   tss     macro          0.412"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":null,"dir":"Reference","previous_headings":"","what":"Maximum TSS - True Skill Statistics — tss_max","title":"Maximum TSS - True Skill Statistics — tss_max","text":"True Skills Statistic, defined ","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Maximum TSS - True Skill Statistics — tss_max","text":"","code":"tss_max(data, ...)  # S3 method for class 'data.frame' tss_max(   data,   truth,   ...,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL )  # S3 method for class 'sf' tss_max(data, ...)  tss_max_vec(   truth,   estimate,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Maximum TSS - True Skill Statistics — tss_max","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimator One \"binary\", \"hand_till\", \"macro\", \"macro_weighted\" specify type averaging done. \"binary\" relevant two class case. others general methods calculating multiclass metrics. default automatically choose \"binary\" truth binary, \"hand_till\" truth >2 levels case_weights specified, \"macro\" truth >2 levels case_weights specified (case \"hand_till\" well-defined). na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\" case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Maximum TSS - True Skill Statistics — tss_max","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Maximum TSS - True Skill Statistics — tss_max","text":"sensitivity+specificity +1 function calibrates probability threshold classify presences maximise TSS. multiclass version function, operates binary predictions (e.g. presences absences SDMs).","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Maximum TSS - True Skill Statistics — tss_max","text":"","code":"tss_max(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #>   .metric .estimator .estimate #>                 #> 1 tss_max binary         0.728"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a time interval from years to days — y2d","title":"Convert a time interval from years to days — y2d","text":"function takes takes time interval years converts days, unit commonly used time operations R. simple conversion x * 365 work large number years, due presence leap years.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a time interval from years to days — y2d","text":"","code":"y2d(x)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a time interval from years to days — y2d","text":"x number years interval","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a time interval from years to days — y2d","text":"difftime object (days)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a time interval from years to days — y2d","text":"","code":"y2d(1) #> Time difference of 365 days y2d(1000) #> Time difference of 365243 days"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-095","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.5","title":"tidysdm 0.9.5","text":"CRAN release: 2024-06-23 implement clamping MESS manage extrapolation clearly separate sampling background vs pseudo-absences update vignettes","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-094","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.4","title":"tidysdm 0.9.4","text":"CRAN release: 2024-03-05 fix predict* functions prevented fixed threshold used assign classes ensure compatibility upcoming changes tune","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-093","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.3","title":"tidysdm 0.9.3","text":"CRAN release: 2024-01-17 fix bug filter_high_cor due changes terra 1.6.75 implement collect_metrics ensembles.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-092","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.2","title":"tidysdm 0.9.2","text":"CRAN release: 2023-11-13 Release CRAN","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-091","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.1","title":"tidysdm 0.9.1","text":"Add spatial_recipe class. BREAKING change makes previously saved objects unusable, old code work expected. Additional articles showing use additional tidymodels features, debug errors. Integration DALEX explain models. functions select variables.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-090","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.0","title":"tidysdm 0.9.0","text":"Initial release GitHub.","code":""}]
+[{"path":"https://evolecolgroup.github.io/tidysdm/dev/CODE_OF_CONDUCT.html","id":null,"dir":"","previous_headings":"","what":"Contributor Code of Conduct","title":"Contributor Code of Conduct","text":"contributors maintainers project, pledge respect people contribute reporting issues, posting feature requests, updating documentation, submitting pull requests patches, activities. committed making participation project harassment-free experience everyone, regardless level experience, gender, gender identity expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, religion. Examples unacceptable behavior participants include use sexual language imagery, derogatory comments personal attacks, trolling, public private harassment, insults, unprofessional conduct. Project maintainers right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct. Project maintainers follow Code Conduct may removed project team. Instances abusive, harassing, otherwise unacceptable behavior may reported opening issue contacting one project maintainers. Code Conduct adapted Contributor Covenant (https://www.contributor-covenant.org), version 1.0.0, available https://contributor-covenant.org/version/1/0/0/.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing to tidysdm","title":"Contributing to tidysdm","text":"document outlines contribute development tidysdm. package maintained voluntary basis, help always appreciated.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"the-basic-process-of-contributing","dir":"","previous_headings":"","what":"The basic process of contributing","title":"Contributing to tidysdm","text":"Development work tidysdm occurs dev branch. , want propose changes, work dev. Start forking project onto github repository, make changes directly fork (either dev branch, make custom branch). updating documentation checking tests pass (see ), start Pull Request. proposed changes reviewed, might asked fix/improve code. can iterative process, requiring rounds revision depending complexity code. Functions documented using roxygen. changes affects documentation , rebuild . root directory package, simply run: implemented new functionality, patched bug, consider whether add appropriate unit test. tidysdm uses testthat framework unit tests. make sure tests work : Finally, submit push request, check changes don’t break build. can check, also builds vignette runs tests.: Make sure resolved warnings notes raised devtools::check()! followed 3 steps, ready make Pull Request. changes go automatic continuous integration, check impact changes multiple platforms. everything goes well, see green tick submission.","code":"devtools::document() devtools::test() devtools::check()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"fixing-typos","dir":"","previous_headings":"","what":"Fixing typos","title":"Contributing to tidysdm","text":"spot typos, spelling mistakes, grammatical errors documentation, fix directly file describes function. .R file R directory, .Rd file man directory. .Rd files automatically generated roxygen2 edited hand. recommend study first roxygen2 comments work.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"functional-changes","dir":"","previous_headings":"","what":"Functional changes","title":"Contributing to tidysdm","text":"want make change impacts functioning tidysdm, ’s good idea first file issue explaining mind. change meant fix bug, add minimal reprex. good reprex also perfect starting point writing unit test, accompany functional change code. Unit tests also essential fixing bugs, can demonstrate fix work, prevent future changes undoing work. unit testing, use testthat; find tests tests, file dedicated function, following convention test_my_function.R naming files. creating tests, try make use built-datasets, rather adding data files package. Ideally, body Pull Request include phrase Fixes #issue-number, issue_number number Github. way, Pull Request automatically linked issue, issue closed Pull Request merged . user-facing changes, add bullet top NEWS.md (.e. just first header). Follow style described https://style.tidyverse.org/news.html. continuous integration checks Pull Request reduce test coverage.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"code-style","dir":"","previous_headings":"Functional changes","what":"Code style","title":"Contributing to tidysdm","text":"New code follow tidyverse style guide. can use styler package apply styles, please don’t restyle code nothing PR. Lots commenting code helps mantainability; , doubt, always add explanation new code.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contributing to tidysdm","text":"Please note tidyverse project released Contributor Code Conduct. contributing project agree abide terms.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU Affero General Public License","title":"GNU Affero General Public License","text":"Version 3, 19 November 2007 Copyright (C) 2007 Free Software Foundation, Inc.  Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU Affero General Public License","text":"GNU Affero General Public License free, copyleft license software kinds works, specifically designed ensure cooperation community case network server software. licenses software practical works designed take away freedom share change works. contrast, General Public Licenses intended guarantee freedom share change versions program–make sure remains free software users. speak free software, referring freedom, price. General Public Licenses designed make sure freedom distribute copies free software (charge wish), receive source code can get want , can change software use pieces new free programs, know can things. Developers use General Public Licenses protect rights two steps: (1) assert copyright software, (2) offer License gives legal permission copy, distribute /modify software. secondary benefit defending users’ freedom improvements made alternate versions program, receive widespread use, become available developers incorporate. Many developers free software heartened encouraged resulting cooperation. However, case software used network servers, result may fail come . GNU General Public License permits making modified version letting public access server without ever releasing source code public. GNU Affero General Public License designed specifically ensure , cases, modified source code becomes available community. requires operator network server provide source code modified version running users server. Therefore, public use modified version, publicly accessible server, gives public access source code modified version. older license, called Affero General Public License published Affero, designed accomplish similar goals. different license, version Affero GPL, Affero released new version Affero GPL permits relicensing license. precise terms conditions copying, distribution modification follow.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_0-definitions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"0. Definitions.","title":"GNU Affero General Public License","text":"“License” refers version 3 GNU Affero General Public License. “Copyright” also means copyright-like laws apply kinds works, semiconductor masks. “Program” refers copyrightable work licensed License. licensee addressed “”. “Licensees” “recipients” may individuals organizations. “modify” work means copy adapt part work fashion requiring copyright permission, making exact copy. resulting work called “modified version” earlier work work “based ” earlier work. “covered work” means either unmodified Program work based Program. “propagate” work means anything , without permission, make directly secondarily liable infringement applicable copyright law, except executing computer modifying private copy. Propagation includes copying, distribution (without modification), making available public, countries activities well. “convey” work means kind propagation enables parties make receive copies. Mere interaction user computer network, transfer copy, conveying. interactive user interface displays “Appropriate Legal Notices” extent includes convenient prominently visible feature (1) displays appropriate copyright notice, (2) tells user warranty work (except extent warranties provided), licensees may convey work License, view copy License. interface presents list user commands options, menu, prominent item list meets criterion.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_1-source-code","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"1. Source Code.","title":"GNU Affero General Public License","text":"“source code” work means preferred form work making modifications . “Object code” means non-source form work. “Standard Interface” means interface either official standard defined recognized standards body, , case interfaces specified particular programming language, one widely used among developers working language. “System Libraries” executable work include anything, work whole, () included normal form packaging Major Component, part Major Component, (b) serves enable use work Major Component, implement Standard Interface implementation available public source code form. “Major Component”, context, means major essential component (kernel, window system, ) specific operating system () executable work runs, compiler used produce work, object code interpreter used run . “Corresponding Source” work object code form means source code needed generate, install, (executable work) run object code modify work, including scripts control activities. However, include work’s System Libraries, general-purpose tools generally available free programs used unmodified performing activities part work. example, Corresponding Source includes interface definition files associated source files work, source code shared libraries dynamically linked subprograms work specifically designed require, intimate data communication control flow subprograms parts work. Corresponding Source need include anything users can regenerate automatically parts Corresponding Source. Corresponding Source work source code form work.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_2-basic-permissions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"2. Basic Permissions.","title":"GNU Affero General Public License","text":"rights granted License granted term copyright Program, irrevocable provided stated conditions met. License explicitly affirms unlimited permission run unmodified Program. output running covered work covered License output, given content, constitutes covered work. License acknowledges rights fair use equivalent, provided copyright law. may make, run propagate covered works convey, without conditions long license otherwise remains force. may convey covered works others sole purpose make modifications exclusively , provide facilities running works, provided comply terms License conveying material control copyright. thus making running covered works must exclusively behalf, direction control, terms prohibit making copies copyrighted material outside relationship . Conveying circumstances permitted solely conditions stated . Sublicensing allowed; section 10 makes unnecessary.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_3-protecting-users-legal-rights-from-anti-circumvention-law","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"3. Protecting Users’ Legal Rights From Anti-Circumvention Law.","title":"GNU Affero General Public License","text":"covered work shall deemed part effective technological measure applicable law fulfilling obligations article 11 WIPO copyright treaty adopted 20 December 1996, similar laws prohibiting restricting circumvention measures. convey covered work, waive legal power forbid circumvention technological measures extent circumvention effected exercising rights License respect covered work, disclaim intention limit operation modification work means enforcing, work’s users, third parties’ legal rights forbid circumvention technological measures.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_4-conveying-verbatim-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"4. Conveying Verbatim Copies.","title":"GNU Affero General Public License","text":"may convey verbatim copies Program’s source code receive , medium, provided conspicuously appropriately publish copy appropriate copyright notice; keep intact notices stating License non-permissive terms added accord section 7 apply code; keep intact notices absence warranty; give recipients copy License along Program. may charge price price copy convey, may offer support warranty protection fee.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_5-conveying-modified-source-versions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"5. Conveying Modified Source Versions.","title":"GNU Affero General Public License","text":"may convey work based Program, modifications produce Program, form source code terms section 4, provided also meet conditions: work must carry prominent notices stating modified , giving relevant date. work must carry prominent notices stating released License conditions added section 7. requirement modifies requirement section 4 “keep intact notices”. must license entire work, whole, License anyone comes possession copy. License therefore apply, along applicable section 7 additional terms, whole work, parts, regardless packaged. License gives permission license work way, invalidate permission separately received . work interactive user interfaces, must display Appropriate Legal Notices; however, Program interactive interfaces display Appropriate Legal Notices, work need make . compilation covered work separate independent works, nature extensions covered work, combined form larger program, volume storage distribution medium, called “aggregate” compilation resulting copyright used limit access legal rights compilation’s users beyond individual works permit. Inclusion covered work aggregate cause License apply parts aggregate.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_6-conveying-non-source-forms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"6. Conveying Non-Source Forms.","title":"GNU Affero General Public License","text":"may convey covered work object code form terms sections 4 5, provided also convey machine-readable Corresponding Source terms License, one ways: Convey object code , embodied , physical product (including physical distribution medium), accompanied Corresponding Source fixed durable physical medium customarily used software interchange. Convey object code , embodied , physical product (including physical distribution medium), accompanied written offer, valid least three years valid long offer spare parts customer support product model, give anyone possesses object code either (1) copy Corresponding Source software product covered License, durable physical medium customarily used software interchange, price reasonable cost physically performing conveying source, (2) access copy Corresponding Source network server charge. Convey individual copies object code copy written offer provide Corresponding Source. alternative allowed occasionally noncommercially, received object code offer, accord subsection 6b. Convey object code offering access designated place (gratis charge), offer equivalent access Corresponding Source way place charge. need require recipients copy Corresponding Source along object code. place copy object code network server, Corresponding Source may different server (operated third party) supports equivalent copying facilities, provided maintain clear directions next object code saying find Corresponding Source. Regardless server hosts Corresponding Source, remain obligated ensure available long needed satisfy requirements. Convey object code using peer--peer transmission, provided inform peers object code Corresponding Source work offered general public charge subsection 6d. separable portion object code, whose source code excluded Corresponding Source System Library, need included conveying object code work. “User Product” either (1) “consumer product”, means tangible personal property normally used personal, family, household purposes, (2) anything designed sold incorporation dwelling. determining whether product consumer product, doubtful cases shall resolved favor coverage. particular product received particular user, “normally used” refers typical common use class product, regardless status particular user way particular user actually uses, expects expected use, product. product consumer product regardless whether product substantial commercial, industrial non-consumer uses, unless uses represent significant mode use product. “Installation Information” User Product means methods, procedures, authorization keys, information required install execute modified versions covered work User Product modified version Corresponding Source. information must suffice ensure continued functioning modified object code case prevented interfered solely modification made. convey object code work section , , specifically use , User Product, conveying occurs part transaction right possession use User Product transferred recipient perpetuity fixed term (regardless transaction characterized), Corresponding Source conveyed section must accompanied Installation Information. requirement apply neither third party retains ability install modified object code User Product (example, work installed ROM). requirement provide Installation Information include requirement continue provide support service, warranty, updates work modified installed recipient, User Product modified installed. Access network may denied modification materially adversely affects operation network violates rules protocols communication across network. Corresponding Source conveyed, Installation Information provided, accord section must format publicly documented (implementation available public source code form), must require special password key unpacking, reading copying.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_7-additional-terms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"7. Additional Terms.","title":"GNU Affero General Public License","text":"“Additional permissions” terms supplement terms License making exceptions one conditions. Additional permissions applicable entire Program shall treated though included License, extent valid applicable law. additional permissions apply part Program, part may used separately permissions, entire Program remains governed License without regard additional permissions. convey copy covered work, may option remove additional permissions copy, part . (Additional permissions may written require removal certain cases modify work.) may place additional permissions material, added covered work, can give appropriate copyright permission. Notwithstanding provision License, material add covered work, may (authorized copyright holders material) supplement terms License terms: Disclaiming warranty limiting liability differently terms sections 15 16 License; Requiring preservation specified reasonable legal notices author attributions material Appropriate Legal Notices displayed works containing ; Prohibiting misrepresentation origin material, requiring modified versions material marked reasonable ways different original version; Limiting use publicity purposes names licensors authors material; Declining grant rights trademark law use trade names, trademarks, service marks; Requiring indemnification licensors authors material anyone conveys material (modified versions ) contractual assumptions liability recipient, liability contractual assumptions directly impose licensors authors. non-permissive additional terms considered “restrictions” within meaning section 10. Program received , part , contains notice stating governed License along term restriction, may remove term. license document contains restriction permits relicensing conveying License, may add covered work material governed terms license document, provided restriction survive relicensing conveying. add terms covered work accord section, must place, relevant source files, statement additional terms apply files, notice indicating find applicable terms. Additional terms, permissive non-permissive, may stated form separately written license, stated exceptions; requirements apply either way.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_8-termination","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"8. Termination.","title":"GNU Affero General Public License","text":"may propagate modify covered work except expressly provided License. attempt otherwise propagate modify void, automatically terminate rights License (including patent licenses granted third paragraph section 11). However, cease violation License, license particular copyright holder reinstated () provisionally, unless copyright holder explicitly finally terminates license, (b) permanently, copyright holder fails notify violation reasonable means prior 60 days cessation. Moreover, license particular copyright holder reinstated permanently copyright holder notifies violation reasonable means, first time received notice violation License (work) copyright holder, cure violation prior 30 days receipt notice. Termination rights section terminate licenses parties received copies rights License. rights terminated permanently reinstated, qualify receive new licenses material section 10.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_9-acceptance-not-required-for-having-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"9. Acceptance Not Required for Having Copies.","title":"GNU Affero General Public License","text":"required accept License order receive run copy Program. Ancillary propagation covered work occurring solely consequence using peer--peer transmission receive copy likewise require acceptance. However, nothing License grants permission propagate modify covered work. actions infringe copyright accept License. Therefore, modifying propagating covered work, indicate acceptance License .","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_10-automatic-licensing-of-downstream-recipients","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"10. Automatic Licensing of Downstream Recipients.","title":"GNU Affero General Public License","text":"time convey covered work, recipient automatically receives license original licensors, run, modify propagate work, subject License. responsible enforcing compliance third parties License. “entity transaction” transaction transferring control organization, substantially assets one, subdividing organization, merging organizations. propagation covered work results entity transaction, party transaction receives copy work also receives whatever licenses work party’s predecessor interest give previous paragraph, plus right possession Corresponding Source work predecessor interest, predecessor can get reasonable efforts. may impose restrictions exercise rights granted affirmed License. example, may impose license fee, royalty, charge exercise rights granted License, may initiate litigation (including cross-claim counterclaim lawsuit) alleging patent claim infringed making, using, selling, offering sale, importing Program portion .","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_11-patents","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"11. Patents.","title":"GNU Affero General Public License","text":"“contributor” copyright holder authorizes use License Program work Program based. work thus licensed called contributor’s “contributor version”. contributor’s “essential patent claims” patent claims owned controlled contributor, whether already acquired hereafter acquired, infringed manner, permitted License, making, using, selling contributor version, include claims infringed consequence modification contributor version. purposes definition, “control” includes right grant patent sublicenses manner consistent requirements License. contributor grants non-exclusive, worldwide, royalty-free patent license contributor’s essential patent claims, make, use, sell, offer sale, import otherwise run, modify propagate contents contributor version. following three paragraphs, “patent license” express agreement commitment, however denominated, enforce patent (express permission practice patent covenant sue patent infringement). “grant” patent license party means make agreement commitment enforce patent party. convey covered work, knowingly relying patent license, Corresponding Source work available anyone copy, free charge terms License, publicly available network server readily accessible means, must either (1) cause Corresponding Source available, (2) arrange deprive benefit patent license particular work, (3) arrange, manner consistent requirements License, extend patent license downstream recipients. “Knowingly relying” means actual knowledge , patent license, conveying covered work country, recipient’s use covered work country, infringe one identifiable patents country reason believe valid. , pursuant connection single transaction arrangement, convey, propagate procuring conveyance , covered work, grant patent license parties receiving covered work authorizing use, propagate, modify convey specific copy covered work, patent license grant automatically extended recipients covered work works based . patent license “discriminatory” include within scope coverage, prohibits exercise , conditioned non-exercise one rights specifically granted License. may convey covered work party arrangement third party business distributing software, make payment third party based extent activity conveying work, third party grants, parties receive covered work , discriminatory patent license () connection copies covered work conveyed (copies made copies), (b) primarily connection specific products compilations contain covered work, unless entered arrangement, patent license granted, prior 28 March 2007. Nothing License shall construed excluding limiting implied license defenses infringement may otherwise available applicable patent law.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_12-no-surrender-of-others-freedom","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"12. No Surrender of Others’ Freedom.","title":"GNU Affero General Public License","text":"conditions imposed (whether court order, agreement otherwise) contradict conditions License, excuse conditions License. convey covered work satisfy simultaneously obligations License pertinent obligations, consequence may convey . example, agree terms obligate collect royalty conveying convey Program, way satisfy terms License refrain entirely conveying Program.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_13-remote-network-interaction-use-with-the-gnu-general-public-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"13. Remote Network Interaction; Use with the GNU General Public License.","title":"GNU Affero General Public License","text":"Notwithstanding provision License, modify Program, modified version must prominently offer users interacting remotely computer network (version supports interaction) opportunity receive Corresponding Source version providing access Corresponding Source network server charge, standard customary means facilitating copying software. Corresponding Source shall include Corresponding Source work covered version 3 GNU General Public License incorporated pursuant following paragraph. Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU General Public License single combined work, convey resulting work. terms License continue apply part covered work, work combined remain governed version 3 GNU General Public License.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_14-revised-versions-of-this-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"14. Revised Versions of this License.","title":"GNU Affero General Public License","text":"Free Software Foundation may publish revised /new versions GNU Affero General Public License time time. new versions similar spirit present version, may differ detail address new problems concerns. version given distinguishing version number. Program specifies certain numbered version GNU Affero General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU Affero General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU Affero General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty.","title":"GNU Affero General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. EXCEPT OTHERWISE STATED WRITING COPYRIGHT HOLDERS /PARTIES PROVIDE PROGRAM “” WITHOUT WARRANTY KIND, EITHER EXPRESSED IMPLIED, INCLUDING, LIMITED , IMPLIED WARRANTIES MERCHANTABILITY FITNESS PARTICULAR PURPOSE. ENTIRE RISK QUALITY PERFORMANCE PROGRAM . PROGRAM PROVE DEFECTIVE, ASSUME COST NECESSARY SERVICING, REPAIR CORRECTION.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability.","title":"GNU Affero General Public License","text":"EVENT UNLESS REQUIRED APPLICABLE LAW AGREED WRITING COPYRIGHT HOLDER, PARTY MODIFIES /CONVEYS PROGRAM PERMITTED , LIABLE DAMAGES, INCLUDING GENERAL, SPECIAL, INCIDENTAL CONSEQUENTIAL DAMAGES ARISING USE INABILITY USE PROGRAM (INCLUDING LIMITED LOSS DATA DATA RENDERED INACCURATE LOSSES SUSTAINED THIRD PARTIES FAILURE PROGRAM OPERATE PROGRAMS), EVEN HOLDER PARTY ADVISED POSSIBILITY DAMAGES.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"id_17-interpretation-of-sections-15-and-16","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"17. Interpretation of Sections 15 and 16.","title":"GNU Affero General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU Affero General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. software can interact users remotely computer network, also make sure provides way users get source. example, program web application, interface display “Source” link leads users archive code. many ways offer source, different solutions better different programs; see section 13 specific requirements. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU AGPL, see https://www.gnu.org/licenses/.","code":"     Copyright (C)         This program is free software: you can redistribute it and/or modify     it under the terms of the GNU Affero General Public License as     published by the Free Software Foundation, either version 3 of the     License, or (at your option) any later version.      This program is distributed in the hope that it will be useful,     but WITHOUT ANY WARRANTY; without even the implied warranty of     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the     GNU Affero General Public License for more details.      You should have received a copy of the GNU Affero General Public License     along with this program.  If not, see ."},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"sdms-with-tidymodels","dir":"Articles","previous_headings":"","what":"SDMs with tidymodels","title":"tidysdm overview","text":"Species Distribution Modelling relies several algorithms, many number hyperparameters require turning. tidymodels universe includes number packages specifically design fit, tune validate models. advantage tidymodels models syntax results returned users standardised, thus providing coherent interface modelling. Given variety models required SDM, tidymodels ideal framework. tidysdm provides number wrappers specialised functions facilitate fitting SDM tidymodels. article provides overview tidysdm facilitates fitting SDMs. articles, detailing use package palaeodata, fitting complex models troubleshoot models can found tidisdm website. tidysdm relies tidymodels, users advised familiarise introductory tutorials tidymodels website. load tidysdm, automatically loads tidymodels associated packages necessary fit models:","code":"library(tidysdm) #> Loading required package: tidymodels #> ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── #> ✔ broom        1.0.7     ✔ recipes      1.1.0 #> ✔ dials        1.3.0     ✔ rsample      1.2.1 #> ✔ dplyr        1.1.4     ✔ tibble       3.2.1 #> ✔ ggplot2      3.5.1     ✔ tidyr        1.3.1 #> ✔ infer        1.0.7     ✔ tune         1.2.1 #> ✔ modeldata    1.4.0     ✔ workflows    1.1.4 #> ✔ parsnip      1.2.1     ✔ workflowsets 1.1.0 #> ✔ purrr        1.0.2     ✔ yardstick    1.3.1 #> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter()  masks stats::filter() #> ✖ dplyr::lag()     masks stats::lag() #> ✖ recipes::step()  masks stats::step() #> • Use tidymodels_prefer() to resolve common conflicts. #> Loading required package: spatialsample"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"accessing-the-data-for-this-vignette-how-to-use-rgbif","dir":"Articles","previous_headings":"SDMs with tidymodels","what":"Accessing the data for this vignette: how to use rgbif","title":"tidysdm overview","text":"start reading set presences species lizard inhabits Iberian peninsula, Lacerta schreiberi. data taken GBIF Occurrence Download (6 July 2023) https://doi.org/10.15468/dl.srq3b3. dataset already included tidysdm package: Alternatively, can easily access manipulate dataset using rbgif. Note data GBIF often requires level cleaning. use simple cleaning function CoordinateCleaner; general, recommend inspect data flagged problematic, rather just accepting :","code":"data(lacerta) head(lacerta) #> # A tibble: 6 × 3 #>          ID latitude longitude #>                 #> 1 858029749     42.6     -7.09 #> 2 858029738     42.6     -7.09 #> 3 614631090     41.4     -7.90 #> 4 614631085     41.3     -7.81 #> 5 614631083     41.3     -7.81 #> 6 614631080     41.4     -7.83 # download presences library(rgbif) occ_download_get(key = \"0068808-230530130749713\", path = tempdir()) # read file library(readr) distrib <- read_delim(file.path(tempdir(), \"0068808-230530130749713.zip\")) # keep the necessary columns and rename them lacerta <- distrib %>% select(gbifID, decimalLatitude, decimalLongitude) %>%   rename(ID = gbifID, latitude = decimalLatitude, longitude = decimalLongitude) # clean up the data library(CoordinateCleaner) lacerta <- clean_coordinates(x = lacerta,                            lon = \"longitude\",                            lat = \"latitude\",                            species = \"ID\",                            value = \"clean\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"preparing-your-data","dir":"Articles","previous_headings":"","what":"Preparing your data","title":"tidysdm overview","text":"First, let us visualise presences plotting map. tidysdm works sf objects represent locations, cast coordinates sf object, set projections standard ‘lonlat’ using proj4 string “+proj=longlat”. usually advisable plot locations directly raster used extract climatic variables, see locations fall within discrete space raster. vignette, use WorldClim source climatic information. access WorldClim data via library pastclim; even though library, name suggests, mostly designed handle palaeoclimatic reconstructions, also provides convenient functions access present day reconstructions future projections. pastclim handy function get land mask available datasets, can use background locations. cut raster Iberian peninsula, lizard lives. example: plotting, take advantage tidyterra, makes handling terra rasters ggplot breeze.","code":"library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE lacerta <- st_as_sf(lacerta, coords = c(\"longitude\", \"latitude\")) st_crs(lacerta) <- \"+proj=longlat\" library(pastclim) download_dataset(dataset = \"WorldClim_2.1_10m\") land_mask <-   get_land_mask(time_ce = 1985, dataset = \"WorldClim_2.1_10m\")  # Iberia peninsula extension iberia_poly <-   terra::vect(     \"POLYGON((-9.8 43.3,-7.8 44.1,-2.0 43.7,3.6 42.5,3.8 41.5,1.3 40.8,0.3 39.5,      0.9 38.6,-0.4 37.5,-1.6 36.7,-2.3 36.3,-4.1 36.4,-4.5 36.4,-5.0 36.1,     -5.6 36.0,-6.3 36.0,-7.1 36.9,-9.5 36.6,-9.4 38.0,-10.6 38.9,-9.5 40.8,     -9.8 43.3))\"   )  crs(iberia_poly) <- \"+proj=longlat\" # crop the extent land_mask <- crop(land_mask, iberia_poly) # and mask to the polygon land_mask <- mask(land_mask, iberia_poly) #> Loading required package: terra #> terra 1.7.83 #>  #> Attaching package: 'terra' #> The following object is masked from 'package:tidyr': #>  #>     extract #> The following object is masked from 'package:scales': #>  #>     rescale #> [1] TRUE library(tidyterra) #>  #> Attaching package: 'tidyterra' #> The following object is masked from 'package:stats': #>  #>     filter library(ggplot2) ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta) +    guides(fill=\"none\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"map-projection","dir":"Articles","previous_headings":"","what":"Map projection","title":"tidysdm overview","text":"start thinning data need make sure data (points rasters) geographic coordinate reference system (CRS) projecting . pipeline steps (e.g. thinning data, measuring areas) using equal area projection may make significant difference, especially large-scale projects. can use website projectionwizard.org (https://link.springer.com/chapter/10.1007/978-3-319-51835-0_9) find appropriate equal area projection region. define projection within code, use proj4 string, provides information type projection, parameters units distance new coordinates expressed (using projectionwizard.org provide yo string well). case, use Albers Equal Area Conic projection centred Iberian peninsula, km units. proj4 string : rasters (maps), use terra function project change CRS. pass raster object proj4 string arguments: Now need project data points CRS raster. using appropriate sf function: Plotting data, see shape land mask slightly changed following new projection.","code":"iberia_proj4 <- \"+proj=aea +lon_0=-4.0 +lat_1=36.8 +lat_2=42.6 +lat_0=39.7 +datum=WGS84 +units=m +no_defs\" land_mask <- terra::project(land_mask, y = iberia_proj4) lacerta <- st_transform(lacerta, iberia_proj4) ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta) +    guides(fill=\"none\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"thinning-step","dir":"Articles","previous_headings":"","what":"Thinning step","title":"tidysdm overview","text":"Now, thin observations one per cell raster (given project, cell approximately size):  Now, thin remove points closer 20km. units projection m (default projections), use convenient conversion function, km2m(), avoid write lots zeroes: Let’s see left points:  now need select points represent potential available area species. two approaches, can either sample background sample_background(), can generate pseudo-absences sample_pseudoabs(). example, sample background; specifically, attempt account potential sampling biases using target group approach, presences species within taxonomic group used condition sampling background, providing information differential sampling different areas within region interest. start downloading records 8 genera Lacertidae, covering geographic region Iberian peninsula GBIF https://doi.org/10.15468/dl.53js5z: case well, need use appropriate projection (defined ) background. projections correspond analyses stop giving error message. need convert observations raster whose values number records (later used determine likely cell used background point). also mask resulting background raster match land mask interest.  can see sampling far random, certain locations large number records. can now sample background, using ‘bias’ method represent heterogeneity sampling effort: Let’s see presences background:  can use pastclim download WorldClim dataset (’ll use 10 arc-minute resolution) extract bioclimatic variables available (use pastclim, use raster dataset access , loading directly terra). Note dataset covers period 1970-2000, pastclim dates 1985 (midpoint). also cropped directly Iberian peninsula. Note , vignette, focus continuous variables; machine learning algorithms natively cope multi-level factors, possible use recipes::step_dummy() generate dummy variables factors. worked example can found article additional features tidymodels tidysdm. now project climate variables way previous spatial data: Next, extract climate presences background points: going forward analysis, make sure missing values climate extracted: can see missing values extracted climate variables. case, go back climate raster homogenise NAs across layers (.e. variables). can achieved either setting cells NA layers (including land mask used thin data), interpolating layers less information fill gaps (e.g. cloud cover remote sensed data). interpolate missing Based paper (https://doi.org/10.1007/s10531-010-9865-2), interested variables: “bio06”, “bio05”, “bio13”, “bio14”, “bio15”. can visualise differences presences background using violin plots: can see variables interest seem different distribution presences background. can formally quantify mismatch two computing overlap: , can see variables interest seem good candidates clear signal. Let us focus variables: Environmental variables often highly correlated, collinearity issue several types models. can inspect correlation among variables :  can see variables rather high correlation (e.g. bio05 vs bio14). can subset variables certain threshold correlation (e.g. 0.7) : , removing bio14 leaves us set uncorrelated variables. Note filter_collinear methods based variable inflation also worth exploring. example, remove bio14 work remaining variables.","code":"set.seed(1234567) lacerta <- thin_by_cell(lacerta, raster = land_mask) nrow(lacerta) #> [1] 233 pres_data <- terra::extract(land_mask, lacerta) summary(pres_data) #>        ID      land_mask_1985 #>  Min.   :  1   land:233       #>  1st Qu.: 59                  #>  Median :117                  #>  Mean   :117                  #>  3rd Qu.:175                  #>  Max.   :233 ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta) +    guides(fill=\"none\") set.seed(1234567) lacerta_thin <- thin_by_dist(lacerta, dist_min = km2m(20)) nrow(lacerta_thin) #> [1] 112 ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta_thin) +   guides(fill=\"none\") library(rgbif) occ_download_get(key = \"0121761-240321170329656\", path = tempdir()) library(readr) backg_distrib <- readr::read_delim(file.path(tempdir(),                                               \"0121761-240321170329656.zip\")) # keep the necessary columns lacertidae_background <- backg_distrib %>%    select(gbifID, decimalLatitude, decimalLongitude) %>%   rename(ID = gbifID, latitude = decimalLatitude, longitude = decimalLongitude) # convert to an sf object lacertidae_background <- st_as_sf(lacertidae_background,                                    coords = c(\"longitude\", \"latitude\"))  st_crs(lacertidae_background) <- \"+proj=longlat\" lacertidae_background <- st_transform(lacertidae_background, crs = iberia_proj4) #> Warning: st_crs<- : replacing crs does not reproject data; use st_transform for #> that lacertidae_background_raster <- rasterize(lacertidae_background,                                           land_mask,                                            fun = \"count\") lacertidae_background_raster <- mask(lacertidae_background_raster,                                      land_mask) ggplot() +   geom_spatraster(data = lacertidae_background_raster, aes(fill = count)) +   scale_fill_viridis_b( na.value = \"transparent\") guides(fill=\"none\") #>  #>  #> fill : \"none\" set.seed(1234567) lacerta_thin <- sample_background(data = lacerta_thin, raster = lacertidae_background_raster,                   n = 3 * nrow(lacerta_thin),                   method = \"bias\",                   class_label = \"background\",                   return_pres = TRUE) #> Warning in sample_background(data = lacerta_thin, raster = lacertidae_background_raster, : There are fewer available cells for raster 'NA' (112 presences) than the requested 336 background points. Only 9 will be returned. ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_1985)) +   geom_sf(data = lacerta_thin, aes(col = class)) +    guides(fill=\"none\") download_dataset(\"WorldClim_2.1_10m\") climate_vars <- get_vars_for_dataset(\"WorldClim_2.1_10m\") climate_present <- pastclim::region_slice(   time_ce = 1985,   bio_variables = climate_vars,   data = \"WorldClim_2.1_10m\",   crop = iberia_poly ) climate_present <- terra::project(climate_present, y = iberia_proj4) lacerta_thin <- lacerta_thin %>%   bind_cols(terra::extract(climate_present, lacerta_thin, ID = FALSE)) summary(lacerta_thin) #>         class              geometry       bio01            bio02        #>  presence  :112   POINT        :121   Min.   : 7.222   Min.   : 5.920   #>  background:  9   epsg:NA      :  0   1st Qu.:11.556   1st Qu.: 8.822   #>                   +proj=aea ...:  0   Median :13.040   Median : 9.280   #>                                       Mean   :12.931   Mean   : 9.301   #>                                       3rd Qu.:14.297   3rd Qu.: 9.881   #>                                       Max.   :16.672   Max.   :12.124   #>      bio03           bio04           bio05           bio06        #>  Min.   :32.96   Min.   :320.6   Min.   :21.22   Min.   :-2.665   #>  1st Qu.:38.80   1st Qu.:424.3   1st Qu.:23.94   1st Qu.: 1.409   #>  Median :40.77   Median :493.5   Median :25.78   Median : 3.184   #>  Mean   :40.89   Mean   :491.7   Mean   :25.95   Mean   : 3.034   #>  3rd Qu.:43.49   3rd Qu.:558.5   3rd Qu.:27.54   3rd Qu.: 5.030   #>  Max.   :47.59   Max.   :667.4   Max.   :32.72   Max.   : 8.221   #>      bio07           bio08            bio09           bio10       #>  Min.   :14.74   Min.   : 1.817   Min.   :14.56   Min.   :14.57   #>  1st Qu.:20.78   1st Qu.: 6.940   1st Qu.:17.96   1st Qu.:18.25   #>  Median :23.13   Median : 8.485   Median :18.96   Median :19.02   #>  Mean   :22.91   Mean   : 8.616   Mean   :19.13   Mean   :19.29   #>  3rd Qu.:25.03   3rd Qu.:10.440   3rd Qu.:20.25   3rd Qu.:20.39   #>  Max.   :30.30   Max.   :17.639   Max.   :23.72   Max.   :23.87   #>      bio11             bio12            bio13            bio14       #>  Min.   : 0.8458   Min.   : 397.5   Min.   : 48.67   Min.   : 2.00   #>  1st Qu.: 5.8650   1st Qu.: 769.1   1st Qu.:106.65   1st Qu.:13.18   #>  Median : 7.5043   Median :1056.4   Median :143.07   Median :18.88   #>  Mean   : 7.3158   Mean   :1049.5   Mean   :146.48   Mean   :22.34   #>  3rd Qu.: 9.2647   3rd Qu.:1347.5   3rd Qu.:186.54   3rd Qu.:30.63   #>  Max.   :11.7415   Max.   :1732.6   Max.   :249.79   Max.   :51.97   #>      bio15           bio16           bio17            bio18        #>  Min.   :24.92   Min.   :128.6   Min.   : 19.38   Min.   : 25.38   #>  1st Qu.:40.18   1st Qu.:301.1   1st Qu.: 65.13   1st Qu.: 68.60   #>  Median :51.05   Median :401.9   Median : 90.20   Median : 99.58   #>  Mean   :47.88   Mean   :412.4   Mean   : 95.30   Mean   :105.46   #>  3rd Qu.:56.32   3rd Qu.:528.8   3rd Qu.:130.62   3rd Qu.:153.24   #>  Max.   :69.06   Max.   :695.0   Max.   :178.73   Max.   :195.92   #>      bio19          altitude       #>  Min.   :106.2   Min.   :  22.58   #>  1st Qu.:283.8   1st Qu.: 192.58   #>  Median :387.5   Median : 512.13   #>  Mean   :397.9   Mean   : 538.88   #>  3rd Qu.:528.8   3rd Qu.: 733.15   #>  Max.   :695.0   Max.   :1477.87 lacerta_thin %>% plot_pres_vs_bg(class) lacerta_thin %>% dist_pres_vs_bg(class) #>     bio19     bio16     bio12     bio13     bio02     bio15     bio07     bio04  #> 0.9959022 0.9362035 0.9268597 0.9140456 0.7975679 0.7452740 0.7092859 0.6983330  #>     bio05     bio17     bio14     bio06     bio03     bio18     bio11     bio08  #> 0.6646394 0.5635174 0.5631364 0.4638880 0.4473745 0.4445754 0.4186998 0.3892218  #>     bio09     bio10     bio01  altitude  #> 0.2898833 0.2812704 0.2706408 0.2580447 suggested_vars <- c(\"bio06\", \"bio05\", \"bio13\", \"bio14\", \"bio15\") pairs(climate_present[[suggested_vars]]) climate_present <- climate_present[[suggested_vars]]  vars_uncor <- filter_collinear(climate_present, cutoff = 0.7, method = \"cor_caret\") vars_uncor #> [1] \"bio15\" \"bio05\" \"bio13\" \"bio06\" #> attr(,\"to_remove\") #> [1] \"bio14\" lacerta_thin <- lacerta_thin %>% select(all_of(c(vars_uncor, \"class\"))) climate_present <- climate_present[[vars_uncor]] names(climate_present) # added to highlight which variables are retained in the end #> [1] \"bio15\" \"bio05\" \"bio13\" \"bio06\""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"fit-the-model-by-cross-validation","dir":"Articles","previous_headings":"","what":"Fit the model by cross-validation","title":"tidysdm overview","text":"Next, need set recipe define handle dataset. don’t want anything data terms transformations, just need define formula (class outcome, variables predictors; note , sf objects, geometry automatically replaced X Y columns assigned role coords, thus used predictors): classification models tidymodels, assumption level interest response (case, presences) reference level. can confirm data correctly formatted : now build workflow_set different models, defining hyperparameters want tune. use glm, random forest, boosted_trees maxent models (details use workflow_sets, see tutorial). latter three models tunable hyperparameters. commonly used models, tidysdm automatically chooses important parameters, possible fully customise model specifications (e.g. see help sdm_spec_rf). Note , used GAMs sdm_spec_gam(), necessary update model gam_formula() due non-standard formula notation GAMs (see help sdm_spec_gam() example ). now want set spatial block cross-validation scheme tune assess models. split data creating 3 folds. use spatial_block_cv function package spatialsample. spatialsample offers number sampling approaches spatial data; also possible convert objects created blockCV (offers features spatial sampling, stratified sampling) rsample object suitable tisysdm function blockcv2rsample.  can now use block CV folds tune assess models (keep computations fast, explore 3 combination hyperparameters per model; far little real life!): Note workflow_set correctly detects tuning parameters glm. can look performance models :  Now let’s create ensemble, selecting best set parameters model (really relevant random forest, hype-parameters tune glm gam). use Boyce continuous index metric choose best random forest boosted tree. adding members ensemble, automatically fitted full training dataset, ready make predictions. visualise  tabular form model metrics can obtained :","code":"lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) lacerta_rec #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:   1 #> predictor: 4 #> coords:    2 lacerta_thin %>% check_sdm_presence(class) #> [1] TRUE lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf(),       # boosted tree model (gbm) specs with tuning       gbm = sdm_spec_boost_tree(),       # maxent specs with tuning       maxent = sdm_spec_maxent()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) library(tidysdm) set.seed(100) #lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5)  lacerta_cv <- spatial_block_cv(data = lacerta_thin, v = 3, n = 5) autoplot(lacerta_cv) set.seed(1234567) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 4 resampling: default_glm #> → A | warning: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numerically 0 or 1 occurred #> There were issues with some computations   A: x1 #> There were issues with some computations   A: x3 #>  #> ✔ 1 of 4 resampling: default_glm (260ms) #> i 2 of 4 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 2 of 4 tuning:     default_rf (465ms) #> i 3 of 4 tuning:     default_gbm #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 3 of 4 tuning:     default_gbm (1.7s) #> i 4 of 4 tuning:     default_maxent #> ✔ 4 of 4 tuning:     default_maxent (831ms) autoplot(lacerta_models) lacerta_ensemble <- simple_ensemble() %>%   add_member(lacerta_models, metric = \"boyce_cont\") #> Warning: glm.fit: algorithm did not converge #> Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred lacerta_ensemble #> A simple_ensemble of models #>  #> Members: #> • default_glm #> • default_rf #> • default_gbm #> • default_maxent #>  #> Available metrics: #> • boyce_cont #> • roc_auc #> • tss_max #>  #> Metric used to tune workflows: #> • boyce_cont autoplot(lacerta_ensemble) lacerta_ensemble %>% collect_metrics() #> # A tibble: 12 × 5 #>    wflow_id       .metric     mean std_err     n #>                         #>  1 default_glm    boyce_cont 0.789 0.211       2 #>  2 default_glm    roc_auc    1     0           3 #>  3 default_glm    tss_max    0.969 0.00942     3 #>  4 default_rf     boyce_cont 0.845 0.0835      3 #>  5 default_rf     roc_auc    0.978 0.0222      3 #>  6 default_rf     tss_max    0.943 0.0469      3 #>  7 default_gbm    boyce_cont 0.890 0.0651      3 #>  8 default_gbm    roc_auc    0.986 0.0139      3 #>  9 default_gbm    tss_max    0.931 0.0458      3 #> 10 default_maxent boyce_cont 0.684 0.193       3 #> 11 default_maxent roc_auc    0.978 0.0222      3 #> 12 default_maxent tss_max    0.943 0.0469      3"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"projecting-to-the-present","dir":"Articles","previous_headings":"","what":"Projecting to the present","title":"tidysdm overview","text":"can now make predictions ensemble (using default option taking mean predictions model).  can subset ensemble use best models, based Boyce continuous index, setting minimum threshold 0.6 metric (somewhat low, real analysis recommend higher value 0.7 higher). also take median available model predictions (instead mean, default). plot change much (models quite consistent).  Sometimes, desirable binary predictions (presence vs absence), rather probability occurrence. , first need calibrate threshold used convert probabilities classes (case, optimise TSS): now can predict whole continent:","code":"prediction_present <- predict_raster(lacerta_ensemble, climate_present) ggplot() +   geom_spatraster(data = prediction_present, aes(fill = mean)) +   scale_fill_terrain_c() +   # plot presences used in the model   geom_sf(data = lacerta_thin %>% filter(class == \"presence\")) prediction_present_boyce <- predict_raster(lacerta_ensemble, climate_present,   metric_thresh = c(\"boyce_cont\", 0.6),   fun = \"median\" ) ggplot() +   geom_spatraster(data = prediction_present_boyce, aes(fill = median)) +   scale_fill_terrain_c() +   geom_sf(data = lacerta_thin %>% filter(class == \"presence\")) lacerta_ensemble <- calib_class_thresh(lacerta_ensemble,   class_thresh = \"tss_max\",    metric_thresh = c(\"boyce_cont\", 0.6) ) prediction_present_binary <- predict_raster(lacerta_ensemble,   climate_present,   type = \"class\",   class_thresh = c(\"tss_max\"),    metric_thresh = c(\"boyce_cont\", 0.6) ) ggplot() +   geom_spatraster(data = prediction_present_binary, aes(fill = binary_mean)) +   geom_sf(data = lacerta_thin %>% filter(class == \"presence\")) +    scale_fill_discrete(na.value = \"transparent\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"projecting-to-the-future","dir":"Articles","previous_headings":"","what":"Projecting to the future","title":"tidysdm overview","text":"WorldClim wide selection projections future based different models Shared Socio-economic Pathways (SSP). Type help(\"WorldClim_2.1\") full list. use predictions based “HadGEM3-GC31-LL” model SSP 245 (intermediate green house gas emissions) resolution present day data (10 arc-minutes). first download data: Let’s see times available: predict 2090, prediction future available. Let’s now check available variables: Note future predictions include altitude (change time), needed , copy present. However, set uncorrelated variables used earlier, don’t need worry . Project climatic raster projection using analysis: predict using ensemble:","code":"download_dataset(\"WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m\") get_time_ce_steps(\"WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m\") #> [1] 2030 2050 2070 2090 get_vars_for_dataset(\"WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m\") #>  [1] \"bio01\" \"bio02\" \"bio03\" \"bio04\" \"bio05\" \"bio06\" \"bio07\" \"bio08\" \"bio09\" #> [10] \"bio10\" \"bio11\" \"bio12\" \"bio13\" \"bio14\" \"bio15\" \"bio16\" \"bio17\" \"bio18\" #> [19] \"bio19\" climate_future <- pastclim::region_slice(   time_ce = 2090,   bio_variables = vars_uncor,   data = \"WorldClim_2.1_HadGEM3-GC31-LL_ssp245_10m\",   crop = iberia_poly ) climate_future <- terra::project(climate_future, y = iberia_proj4) prediction_future <- predict_raster(lacerta_ensemble, climate_future)  ggplot() +   geom_spatraster(data = prediction_future, aes(fill = mean)) +   scale_fill_terrain_c()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"dealing-with-extrapolation","dir":"Articles","previous_headings":"","what":"Dealing with extrapolation","title":"tidysdm overview","text":"total area projection model may include environmental conditions lie outside range conditions covered calibration dataset. phenomenon can lead misinterpretation SDM outcomes due spatial extrapolation. tidysdm offers couple approaches deal problem. simplest one can clamp environmental variables stay within limits observed calibration set:  predictions seem changed little. alternative allow values exceed ranges calibration set, compute Multivariate environmental similarity surfaces (MESS) (Elith et al. 2010) highlight areas extrapolation occurs thus visualise prediction’s uncertainty. estimate MESS future time slice used :  Extrapolation occurs areas MESS values negative, magnitude negative values indicating extreme interpolation. plot, can see area extrapolation model already predicted suitability zero. explains clamping little predictions. can now overlay MESS values current prediction visualize areas characterized spatial extrapolation.  Note clamping MESS useful making predictions future, also past present (latter case, allows us make sure background/pseudoabsences cover full range predictor variables area interest). tidymodels universe also includes functions estimate area applicability package waywiser, can used tidysdm.","code":"climate_future_clamped <- clamp_predictors(climate_future,                                             training = lacerta_thin,                                            .col= class) prediction_future_clamped <- predict_raster(lacerta_ensemble,                                              raster = climate_future_clamped)  ggplot() +   geom_spatraster(data = prediction_future_clamped, aes(fill = mean)) +   scale_fill_terrain_c() lacerta_mess_future <- extrapol_mess(x = climate_future,                                        training = lacerta_thin,                                        .col = \"class\")  ggplot() + geom_spatraster(data = lacerta_mess_future) +    scale_fill_viridis_b(na.value = \"transparent\") # subset mess  lacerta_mess_future_subset <- lacerta_mess_future lacerta_mess_future_subset[lacerta_mess_future_subset >= 0] <- NA lacerta_mess_future_subset[lacerta_mess_future_subset < 0] <- 1  # convert into polygon lacerta_mess_future_subset <- as.polygons(lacerta_mess_future_subset)  # plot as a mask  ggplot() + geom_spatraster(data = prediction_future) +    scale_fill_viridis_b(na.value = \"transparent\") +    geom_sf(data = lacerta_mess_future_subset,            fill= \"lightgray\", alpha = 0.5, linewidth = 0.5)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"visualising-the-contribution-of-individual-variables","dir":"Articles","previous_headings":"","what":"Visualising the contribution of individual variables","title":"tidysdm overview","text":"sometimes interest understand relative contribution individual variables prediction. complex task, especially interactions among variables. simpler linear models, possible obtain marginal response curves (show effect variable whilst keeping variables mean) using step_profile() recipes package. use step_profile() define new recipe can bake generate appropriate dataset make marginal prediction. can plot predictions values variable interest. example, investigate contribution bio05, :  also possible use DALEX,explore tidysdm models; see details tidymodels additions article.","code":"bio05_prof <- lacerta_rec %>%   step_profile(-bio05, profile = vars(bio05)) %>%   prep(training = lacerta_thin)  bio05_data <- bake(bio05_prof, new_data = NULL)  bio05_data <- bio05_data %>%   mutate(     pred = predict(lacerta_ensemble, bio05_data)$mean   )  ggplot(bio05_data, aes(x = bio05, y = pred)) +   geom_point(alpha = .5, cex = 1)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a0_tidysdm_overview.html","id":"repeated-ensembles","dir":"Articles","previous_headings":"","what":"Repeated ensembles","title":"tidysdm overview","text":"steps thinning sampling pseudo-absences can bit impact performance SDMs. steps stochastic, good practice explore effect repeating , creating ensembles models repeats. tidysdm, possible create repeat_ensembles. start creating list simple_ensembles, looping SDM pipeline. just use two fast models speed process, use pseudo-absences instead background. Now can create repeat_ensemble list: can summarise goodness fit models repeat collect_metrics(), autoplot() function repeated_ensemble objects. can predict usual way. take mean median models, without filtering performance, plot results:  Note predictions quite similar ones obtained , predicted suitable range somewhat larger, probably included models good (filter performance) ensemble.","code":"# empty object to store the simple ensembles that we will create ensemble_list <- list() set.seed(1234) # make sure you set the seed OUTSIDE the loop for (i_repeat in 1:3) {   # thin the data   lacerta_thin_rep <- thin_by_cell(lacerta, raster = climate_present)   lacerta_thin_rep <- thin_by_dist(lacerta_thin_rep, dist_min = 20000)   # sample pseudo-absences   lacerta_thin_rep <- sample_pseudoabs(lacerta_thin_rep,     n = 3 * nrow(lacerta_thin_rep),     raster = climate_present,     method = c(\"dist_min\", 50000)   )   # get climate   lacerta_thin_rep <- lacerta_thin_rep %>%     bind_cols(terra::extract(climate_present, lacerta_thin_rep, ID = FALSE))   # create folds   lacerta_thin_rep_cv <- spatial_block_cv(lacerta_thin_rep, v = 3, n = 5)   # create a recipe   lacerta_thin_rep_rec <- recipe(lacerta_thin_rep, formula = class ~ .)   # create a workflow_set   lacerta_thin_rep_models <-     # create the workflow_set     workflow_set(       preproc = list(default = lacerta_thin_rep_rec),       models = list(         # the standard glm specs         glm = sdm_spec_glm(),         # maxent specs with tuning         maxent = sdm_spec_maxent()       ),       # make all combinations of preproc and models,       cross = TRUE     ) %>%     # tweak controls to store information needed later to create the ensemble     option_add(control = control_ensemble_grid())    # train the model   lacerta_thin_rep_models <-     lacerta_thin_rep_models %>%     workflow_map(\"tune_grid\",       resamples = lacerta_thin_rep_cv, grid = 3,       metrics = sdm_metric_set(), verbose = TRUE     )   # make an simple ensemble and add it to the list   ensemble_list[[i_repeat]] <- simple_ensemble() %>%     add_member(lacerta_thin_rep_models, metric = \"boyce_cont\") } #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (161ms) #> i 2 of 2 tuning:     default_maxent #> ✔ 2 of 2 tuning:     default_maxent (1.2s) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (170ms) #> i 2 of 2 tuning:     default_maxent #> ✔ 2 of 2 tuning:     default_maxent (1.1s) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (171ms) #> i 2 of 2 tuning:     default_maxent #> ✔ 2 of 2 tuning:     default_maxent (1.2s) lacerta_rep_ens <- repeat_ensemble() %>% add_repeat(ensemble_list) lacerta_rep_ens #> A repeat_ensemble of models #>  #> Number of repeats: #> • 3 #>  #> Members: #> • default_glm #> • default_maxent #>  #> Available metrics: #> • boyce_cont #> • roc_auc #> • tss_max #>  #> Metric used to tune workflows: #> • boyce_cont lacerta_rep_ens <- predict_raster(lacerta_rep_ens, climate_present,   fun = c(\"mean\", \"median\") ) ggplot() +   geom_spatraster(data = lacerta_rep_ens, aes(fill = median)) +   scale_fill_terrain_c()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a1_palaeodata_application.html","id":"sdms-with-tidymodels-for-palaeo-data","dir":"Articles","previous_headings":"","what":"SDMs with tidymodels for palaeo data","title":"Application with palaeodata","text":"article, show Species Distribution Model can fitted tidysdm time-scattered (.e.palaeontological, archaeozoological, archaeological) data, samples covering different time periods. recommend users first read “tidysdm overview” article, introduces number functions concepts used present article. first load tidysdm:","code":"library(tidysdm) #> Loading required package: tidymodels #> ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── #> ✔ broom        1.0.7     ✔ recipes      1.1.0 #> ✔ dials        1.3.0     ✔ rsample      1.2.1 #> ✔ dplyr        1.1.4     ✔ tibble       3.2.1 #> ✔ ggplot2      3.5.1     ✔ tidyr        1.3.1 #> ✔ infer        1.0.7     ✔ tune         1.2.1 #> ✔ modeldata    1.4.0     ✔ workflows    1.1.4 #> ✔ parsnip      1.2.1     ✔ workflowsets 1.1.0 #> ✔ purrr        1.0.2     ✔ yardstick    1.3.1 #> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter()  masks stats::filter() #> ✖ dplyr::lag()     masks stats::lag() #> ✖ recipes::step()  masks stats::step() #> • Use tidymodels_prefer() to resolve common conflicts. #> Loading required package: spatialsample"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a1_palaeodata_application.html","id":"preparing-your-data","dir":"Articles","previous_headings":"","what":"Preparing your data","title":"Application with palaeodata","text":"start loading set radiocarbon dates (calibrated) horses, covering 22k years ago 8k years ago. convert dataset sf data.frame can easily plot (tidyterra shines): background presences, use land mask present, taken pastclim, cut cover Europe: use tidyterra plot:  now thin presences, locations 100km 2000 years apart. see left:  now need time series palaeoclimate reconstructions. vignette, use example dataset pastclim. dataset reconstructions every 5k years past 20k years 1 degree resolution, 3 bioclimatic variables. suffice illustrative purposes, recommend download higher quality datasets pastclim real analysis. land mask, cut reconstructions cover Europe : Now thin observations keep one per cell raster (better equal area projection…), remove locations outside desired area (): Let’s see left points:  Now sample pseudo-absences (constraint least 70km away presences), selecting three times number presences Let’s see presences absences:  Now let’s get climate location. pastclim requires data frame two columns coordinates column time years present (negative values represent time past). manipulate sf object accordingly:","code":"data(horses) horses #> # A tibble: 788 × 3 #>    latitude longitude time_bp #>                #>  1     43.2     -2.04  -14000 #>  2     43.2     -2.04  -14000 #>  3     43.2     -2.04  -14000 #>  4     43.2     -2.04  -14000 #>  5     43.2     -2.04  -16000 #>  6     43.3     -1.89  -16000 #>  7     43.2     -2.2   -14000 #>  8     43.2     -2.2   -19000 #>  9     43.2     -2.2   -20000 #> 10     43.2     -2.2   -21000 #> # ℹ 778 more rows library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE horses <- st_as_sf(horses, coords = c(\"longitude\", \"latitude\")) st_crs(horses) <- 4326 #> Loading required package: terra #> terra 1.7.83 #>  #> Attaching package: 'terra' #> The following object is masked from 'package:tidyr': #>  #>     extract #> The following object is masked from 'package:scales': #>  #>     rescale library(pastclim) land_mask <- pastclim::get_land_mask(time_bp = 0, dataset = \"Example\") europe_poly <- vect(region_outline$Europe) crs(europe_poly) <- \"lonlat\" land_mask <- crop(land_mask, europe_poly) land_mask <- mask(land_mask, europe_poly) library(tidyterra) #>  #> Attaching package: 'tidyterra' #> The following object is masked from 'package:stats': #>  #>     filter ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_0)) +   geom_sf(data = horses, aes(col = time_bp)) set.seed(123) horses <- thin_by_dist_time(horses,   dist_min = km2m(100),   interval_min = y2d(2000),   time_col = \"time_bp\",   lubridate_fun = pastclim::ybp2date ) nrow(horses) #> [1] 185 ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_0)) +   geom_sf(data = horses, aes(col = time_bp)) library(pastclim) climate_vars <- c(\"bio01\", \"bio10\", \"bio12\") climate_full <- pastclim::region_series(   bio_variables = climate_vars,   data = \"Example\",   crop = region_outline$Europe ) set.seed(123) horses <- thin_by_cell_time(horses,   raster = climate_full,   time_col = \"time_bp\",   lubridate_fun = pastclim::ybp2date ) nrow(horses) #> [1] 138 ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_0)) +   geom_sf(data = horses, aes(col = time_bp)) set.seed(123) horses <- sample_pseudoabs_time(horses,   n_per_presence = 3,   raster = climate_full,   time_col = \"time_bp\",   lubridate_fun = pastclim::ybp2date,   method = c(\"dist_min\", km2m(70)) ) ggplot() +   geom_spatraster(data = land_mask, aes(fill = land_mask_0)) +   geom_sf(data = horses, aes(col = class)) horses_df <- horses %>%   dplyr::bind_cols(sf::st_coordinates(horses)) %>%   mutate(time_bp = date2ybp(time_step)) %>%   as.data.frame() %>%   select(-geometry) # get climate horses_df <- location_slice_from_region_series(horses_df,   region_series = climate_full )  # add the climate reconstructions to the sf object, and remove the time_step # as we don't need it for modelling horses <- horses %>%   bind_cols(horses_df[, climate_vars]) %>%   select(-time_step)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a1_palaeodata_application.html","id":"fit-the-model-by-crossvalidation","dir":"Articles","previous_headings":"","what":"Fit the model by crossvalidation","title":"Application with palaeodata","text":"Next, need set recipe define handle dataset. don’t want transform data, just need define formula (class outcome, variables predictors; note , sf objects, geometry automatically ignored predictor): can quickly check variables want : now build workflow_set different models, defining hyperparameters want tune. use glm, gam, random forest boosted trees models, random forest boosted trees tunable hyperparameters. commonly used models, tidysdm automatically chooses important parameters, possible fully customise model specifications. Note gams unusual, need specify formula define variables fit smooths. default, gam_formula() fits smooth every continuous predictor, custom formula can provided instead. now want set spatial block cross-validation scheme tune assess models:  can now use block CV folds tune assess models: Note workflow_set correctly detects tuning parameters glm gam. can look performance models :  Now let’s create ensemble, selecting best set parameters model (really relevant random forest, hype-parameters tune glm gam). use Boyce continuous index metric choose best random forest boosted tree. adding members ensemble, automatically fitted full training dataset, ready make predictions. visualise ","code":"horses_rec <- recipe(horses, formula = class ~ .) horses_rec #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:   1 #> predictor: 3 #> coords:    2 horses_rec$var_info #> # A tibble: 6 × 4 #>   variable type      role      source   #>                    #> 1 bio01     predictor original #> 2 bio10     predictor original #> 3 bio12     predictor original #> 4 X         coords    original #> 5 Y         coords    original #> 6 class     outcome   original horses_models <-   # create the workflow_set   workflow_set(     preproc = list(default = horses_rec),     models = list(       # the standard glm specs  (no params to tune)       glm = sdm_spec_glm(),       # the standard sdm specs (no params to tune)       gam = sdm_spec_gam(),       # rf specs with tuning       rf = sdm_spec_rf(),       # boosted tree model (gbm) specs with tuning       gbm = sdm_spec_boost_tree()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # set formula for gams   update_workflow_model(\"default_gam\",     spec = sdm_spec_gam(),     formula = gam_formula(horses_rec)   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) library(tidysdm) set.seed(1005) horses_cv <- spatial_block_cv(horses, v = 5) autoplot(horses_cv) set.seed(123) horses_models <-   horses_models %>%   workflow_map(\"tune_grid\",     resamples = horses_cv, grid = 5,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 4 resampling: default_glm #> ✔ 1 of 4 resampling: default_glm (276ms) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 2 of 4 resampling: default_gam #> ✔ 2 of 4 resampling: default_gam (667ms) #> i 3 of 4 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 3 of 4 tuning:     default_rf (2.6s) #> i 4 of 4 tuning:     default_gbm #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 4 of 4 tuning:     default_gbm (15.2s) autoplot(horses_models) horses_ensemble <- simple_ensemble() %>%   add_member(horses_models, metric = \"boyce_cont\") autoplot(horses_ensemble)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a1_palaeodata_application.html","id":"projecting-to-other-times","dir":"Articles","previous_headings":"","what":"Projecting to other times","title":"Application with palaeodata","text":"can now make predictions ensemble (using default option taking mean predictions model) Last Glacial Maximum (LGM, 21,000 years ago). predict using ensemble:","code":"climate_lgm <- pastclim::region_slice(   time_bp = -20000,   bio_variables = climate_vars,   data = \"Example\",   crop = region_outline$Europe ) prediction_lgm <- predict_raster(horses_ensemble, climate_lgm) ggplot() +   geom_spatraster(data = prediction_lgm, aes(fill = mean)) +   scale_fill_terrain_c()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"exploring-models-with-dalex","dir":"Articles","previous_headings":"","what":"Exploring models with DALEX","title":"Examples of additional tidymodels features","text":"issue machine learning algorithms easy understand role different variables giving final prediction. number packages created explore explain behaviour ML algorithms, used tidysdm. tidysdm overview article, illustrated use recipes create profiles. demonstrate use DALEX, excellent package methods deal tidymodels. tidysdm contains additional functions allow use use DALEX functions directly tidysdm ensembles. use simple ensemble built overview vignette. first step DALEX create explainer object, can queried different functions package, turn explainer explanation (following DALEX lingo). first step, use custom function explain_tidysdm generate explainer: Now explainer, can explore variable importance ensemble:  generate partial dependency plots given variable (e.g. bio05):  many functions DALEX can applied explainer explore behaviour model; see several tutorial https://modeloriented.github.io/DALEX/ also possible explore individual models make ensemble: resulting list can used build lists explanations, can plotted.","code":"library(tidysdm) #> Loading required package: tidymodels #> ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── #> ✔ broom        1.0.7     ✔ recipes      1.1.0 #> ✔ dials        1.3.0     ✔ rsample      1.2.1 #> ✔ dplyr        1.1.4     ✔ tibble       3.2.1 #> ✔ ggplot2      3.5.1     ✔ tidyr        1.3.1 #> ✔ infer        1.0.7     ✔ tune         1.2.1 #> ✔ modeldata    1.4.0     ✔ workflows    1.1.4 #> ✔ parsnip      1.2.1     ✔ workflowsets 1.1.0 #> ✔ purrr        1.0.2     ✔ yardstick    1.3.1 #> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter()  masks stats::filter() #> ✖ dplyr::lag()     masks stats::lag() #> ✖ recipes::step()  masks stats::step() #> • Use tidymodels_prefer() to resolve common conflicts. #> Loading required package: spatialsample lacerta_ensemble #> A simple_ensemble of models #>  #> Members: #> • default_glm #> • default_rf #> • default_gbm #> • default_maxent #>  #> Available metrics: #> • boyce_cont #> • roc_auc #> • tss_max #>  #> Metric used to tune workflows: #> • boyce_cont explainer_lacerta_ens <- explain_tidysdm(lacerta_ensemble) #> Preparation of a new explainer is initiated #>   -> model label       :  data.frame  (  default  ) #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  predict_function  #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidysdm , ver. 0.9.6.9004 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.02638562 , mean =  0.2951438 , max =  0.7778588   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.6797394 , mean =  -0.04514377 , max =  0.7720678   #>   A new explainer has been created! library(DALEX) #> Welcome to DALEX (version: 2.4.3). #> Find examples and detailed introduction at: http://ema.drwhy.ai/ #> Additional features will be available after installation of: ggpubr. #> Use 'install_dependencies()' to get all suggested dependencies #>  #> Attaching package: 'DALEX' #> The following object is masked from 'package:dplyr': #>  #>     explain vip_ensemble <- model_parts(explainer = explainer_lacerta_ens) plot(vip_ensemble) pdp_bio05 <- model_profile(explainer_lacerta_ens, N = 500, variables = \"bio05\") plot(pdp_bio05) explainer_list <- explain_tidysdm(tidysdm::lacerta_ensemble, by_workflow = TRUE) #> Preparation of a new explainer is initiated #>   -> model label       :  default_glm  #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.2554356 , mean =  0.75 , max =  0.9838188   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.9314151 , mean =  9.574021e-12 , max =  0.7445644   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_rf  #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.06715952 , mean =  0.7496213 , max =  1   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.6303111 , mean =  0.0003787291 , max =  0.5929444   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_gbm  #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.2205058 , mean =  0.7324831 , max =  0.9634812   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.8709313 , mean =  0.01751694 , max =  0.6855955   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_maxent  #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.03884931 , mean =  0.5873206 , max =  0.9584494   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.8338183 , mean =  0.1626794 , max =  0.9611507   #>   A new explainer has been created! profile_list <- lapply(explainer_list, model_profile,   N = 500,   variables = \"bio05\" ) plot(profile_list)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"the-initial-split","dir":"Articles","previous_headings":"","what":"The initial split","title":"Examples of additional tidymodels features","text":"standard approach tidymodels make initial split data test training set. use retain 20% data (1/5) testing set, use rest training. start loading set presences absences associated climate, analogous one generated tidysdm overview article: use spatial_initial_split split, using spatial_block_cv scheme partition data:  check balance presences vs pseudoabsences: can now extract training set lacerta_initial split, sample folds set cross validation (note set cellsize offset based full dataset, lacerta_thin; allows us use grid used initial_split).  check balance dataset:","code":"library(tidysdm) library(sf) #> Linking to GEOS 3.10.2, GDAL 3.4.1, PROJ 8.2.1; sf_use_s2() is TRUE lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) set.seed(1005) lacerta_initial <- spatial_initial_split(lacerta_thin,   prop = 1 / 5, spatial_block_cv ) autoplot(lacerta_initial) check_splits_balance(lacerta_initial, class) #> # A tibble: 1 × 4 #>   presence_test pseudoabs_test presence_train pseudoabs_train #>                                           #> 1            88            267             25              72 set.seed(1005) lacerta_training <- training(lacerta_initial) lacerta_cv <- spatial_block_cv(lacerta_training,   v = 5,   cellsize = grid_cellsize(lacerta_thin),   offset = grid_offset(lacerta_thin) ) autoplot(lacerta_cv) check_splits_balance(lacerta_cv, class) #> # A tibble: 5 × 4 #>   presence_assessment pseudoabs_assessment presence_analysis pseudoabs_analysis #>                                                             #> 1                  74                  197                14                 70 #> 2                  59                  225                29                 42 #> 3                  73                  220                15                 47 #> 4                  76                  209                12                 58 #> 5                  70                  218                18                 49"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"different-recipes-for-certain-models","dir":"Articles","previous_headings":"","what":"Different recipes for certain models","title":"Examples of additional tidymodels features","text":"certain type models (e.g. glm, svm) struggle correlated variables; algorithms, random forests, can handle correlated variables. , create two recipes, one variables, one variables uncorrelated: now use two recipes workflowset (keep small computational time), selecting appropriate recipe model. include model (polynomial support vector machines, SVM) wrapper tidysdm creating model specification. However, can use standard model spec yardstick: can now use block CV folds tune assess models. Note multiple tuning approaches, besides standard grid method. use tune_bayes tune package (see help page see Gaussian Process model used choose parameter combinations). tuning method (opposed use standard grid) allow hyper-parameters unknown limits, mtry random forest undefined upper range depends number variables dataset. , tuning, need finalise mtry informing set dials actual data: now can tune models: can look performance models :","code":"lacerta_rec_all <- recipe(lacerta_thin, formula = class ~ .) lacerta_rec_uncor <- lacerta_rec_all %>%   step_rm(all_of(c(     \"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", \"bio08\",     \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\",     \"bio17\", \"bio18\", \"bio19\", \"altitude\"   )))  lacerta_rec_uncor #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:    1 #> predictor: 20 #> coords:     2 #>  #> ── Operations #> • Variables removed: all_of(c(\"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", #>   \"bio08\", \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\", \"bio17\", #>   \"bio18\", \"bio19\", \"altitude\")) lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(       uncor = lacerta_rec_uncor, # recipe for the glm       all = lacerta_rec_all, # recipe for the random forest       all = lacerta_rec_uncor # recipe for svm     ),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf(),       # svm specs with tuning       svm = parsnip::svm_poly(         cost = tune(),         degree = tune()       ) %>%         parsnip::set_engine(\"kernlab\") %>%         parsnip::set_mode(\"classification\")     ),     # make all combinations of preproc and models,     cross = FALSE   ) %>%   # tweak controls to store information needed later to create the ensemble   # note that we use the bayes version as we will use a Bayes search (see later)   option_add(control = stacks::control_stack_bayes()) rf_param <- lacerta_models %>%   # extract the rf workflow   extract_workflow(\"all_rf\") %>%   # extract its parameters dials (used to tune)   extract_parameter_set_dials() %>%   # give it the predictors to finalize mtry   finalize(x = st_drop_geometry(lacerta_thin) %>% select(-class))  # now update the workflowset with the new parameter info lacerta_models <- lacerta_models %>%   option_add(param_info = rf_param, id = \"all_rf\") set.seed(1234567) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_bayes\",     resamples = lacerta_cv, initial = 8,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 3 resampling: uncor_glm #> ✔ 1 of 3 resampling: uncor_glm (352ms) #> i 2 of 3 tuning:     all_rf #> ! No improvement for 10 iterations; returning current results. #> ✔ 2 of 3 tuning:     all_rf (17.6s) #> i 3 of 3 tuning:     all_svm #> ✔ 3 of 3 tuning:     all_svm (20.5s) autoplot(lacerta_models)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"stack-ensembles","dir":"Articles","previous_headings":"","what":"Stack ensembles","title":"Examples of additional tidymodels features","text":"Instead building simple ensemble best version model type, can build stack ensemble, implemented package stacks. Stacking uses meta-learning algorithm learn best combine multiple models, including multiple versions algorithm different hyper-parameters.  can see three versions SVM one random forests selected; stacking coefficients give indication weight model carries within ensemble. can now use ensemble make predictions testing data: look goodness fit using commonly used sdm metrics. Note sdm_metric_set first invoked generate function (empty ()) used data. can now make predictions stacked ensemble. start extracting climate variables interest","code":"library(stacks) set.seed(1005) lacerta_stack <-   # initialize the stack   stacks() %>%   # add candidate members   add_candidates(lacerta_models) %>%   # determine how to combine their predictions   blend_predictions() %>%   # fit the candidates with non-zero weights (i.e.non-zero stacking coefficients)   fit_members()  autoplot(lacerta_stack, type = \"weights\") lacerta_testing <- testing(lacerta_initial)  lacerta_test_pred <-   lacerta_testing %>%   bind_cols(predict(lacerta_stack, ., type = \"prob\")) sdm_metric_set()(data = lacerta_test_pred, truth = class, .pred_presence) #> # A tibble: 3 × 3 #>   .metric    .estimator .estimate #>                    #> 1 boyce_cont binary         0.853 #> 2 roc_auc    binary         0.986 #> 3 tss_max    binary         0.92 download_dataset(\"WorldClim_2.1_10m\") climate_vars <- lacerta_rec_all$var_info %>%   filter(role == \"predictor\") %>%   pull(variable)  climate_present <- pastclim::region_slice(   time_ce = 1985,   bio_variables = climate_vars,   data = \"WorldClim_2.1_10m\",   crop = iberia_poly ) prediction_present <- predict_raster(lacerta_stack, climate_present,   type = \"prob\" ) library(tidyterra) #>  #> Attaching package: 'tidyterra' #> The following object is masked from 'package:stats': #>  #>     filter ggplot() +   geom_spatraster(data = prediction_present, aes(fill = .pred_presence)) +   scale_fill_terrain_c() +   # plot presences used in the model   geom_sf(data = lacerta_thin %>% filter(class == \"presence\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a2_tidymodels_additions.html","id":"using-multi-level-factors-as-predictors","dir":"Articles","previous_headings":"","what":"Using multi-level factors as predictors","title":"Examples of additional tidymodels features","text":"machine learning algorithms natively use multilevel factors predictors. solution create dummy variables, binary variables represent levels factor. tidymodels, done using step_dummy function. Let’s create factor variable 3 levels based altitude. create recipe adding step create dummy variables topography variable. Let’s us see : added two “derived” variables, topography_hills topography_mountains, binary variables allow us code topography (plains used reference level, coded hills mountains 0 given location). can look first rows data see new variables baking recipe: can now run sdm usual: can now verify dummy variables used extracting model fit one models ensemble: can see coefficients topography_hills topography_mountains. Let us now predict presence lizard Iberian Peninsula using ensemble. Note , predict_raster() work, name levels categorical variable need match used training models (.e. recipe step_dummy()):","code":"library(tidysdm) # load the dataset lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) # create a topography variable with 3 levels based on altitude lacerta_thin$topography <- cut(lacerta_thin$altitude,                 breaks = c(-Inf, 200, 800, Inf),                 labels = c(\"plains\", \"hills\", \"mountains\")) table(lacerta_thin$topography) #>  #>    plains     hills mountains  #>        82       233       137 # subset to variable of interest lacerta_thin <- lacerta_thin %>% select(class, bio05, bio06, bio12, bio15, topography)  lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) %>%   step_dummy(topography) lacerta_rec #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:   1 #> predictor: 5 #> coords:    2 #>  #> ── Operations #> • Dummy variables from: topography lacerta_prep <- prep(lacerta_rec) summary(lacerta_prep) #> # A tibble: 9 × 4 #>   variable             type      role      source   #>                                #> 1 bio05                 predictor original #> 2 bio06                 predictor original #> 3 bio12                 predictor original #> 4 bio15                 predictor original #> 5 X                     coords    original #> 6 Y                     coords    original #> 7 class                 outcome   original #> 8 topography_hills      predictor derived  #> 9 topography_mountains  predictor derived lacerta_bake <- bake(lacerta_prep, new_data = lacerta_thin) glimpse(lacerta_bake) #> Rows: 452 #> Columns: 9 #> $ bio05                 30.50350, 25.28050, 23.67800, 29.68875, 26.34075,… #> $ bio06                 1.477000, 3.631750, 0.789500, 6.048750, 1.869000,… #> $ bio12                 596, 1490, 1395, 729, 1324, 1409, 1260, 1390, 116… #> $ bio15                 50.59533, 50.07437, 47.24211, 58.88199, 51.62960,… #> $ X                     -5.394226, -8.374844, -7.886102, -8.231414, -7.17… #> $ Y                     39.48495, 41.97207, 41.89992, 39.49710, 41.78401,… #> $ class                 presence, presence, presence, presence, presence,… #> $ topography_hills      1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0… #> $ topography_mountains  0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1… # define the models lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) # tune set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 3) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (223ms) #> i 2 of 2 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 2 of 2 tuning:     default_rf (1s) # fit the ensemble lacerta_ensemble <- simple_ensemble() %>%   add_member(lacerta_models, metric = \"boyce_cont\") lacerta_ensemble$workflow[[1]] %>% extract_fit_parsnip() #> parsnip model object #>  #>  #> Call:  stats::glm(formula = ..y ~ ., family = stats::binomial, data = data) #>  #> Coefficients: #>          (Intercept)                 bio05                 bio06   #>            -6.920024              0.635493             -0.334427   #>                bio12                 bio15      topography_hills   #>            -0.002505             -0.113106             -1.851098   #> topography_mountains   #>            -2.531259   #>  #> Degrees of Freedom: 451 Total (i.e. Null);  445 Residual #> Null Deviance:       508.4  #> Residual Deviance: 189.5     AIC: 203.5 climate_present <- terra::readRDS(system.file(\"extdata/lacerta_climate_present_10m.rds\",                                               package = \"tidysdm\")) # first we add a topography variable to the climate data climate_present$topography <- climate_present$altitude climate_present$topography <- terra::classify(climate_present$topography, rcl = c(-Inf, 200, 800, Inf), include.lowest=TRUE, brackets=TRUE) library(terra) #> terra 1.7.83 #>  #> Attaching package: 'terra' #> The following objects are masked from 'package:kernlab': #>  #>     buffer, size #> The following object is masked from 'package:tidyr': #>  #>     extract #> The following object is masked from 'package:scales': #>  #>     rescale levels(climate_present$topography)  <- data.frame(ID = c(0,1,2), topography = c(\"plains\", \"hills\", \"mountains\")) # now we can predict predict_factor <- predict_raster(lacerta_ensemble, climate_present) plot(predict_factor)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a3_troubleshooting.html","id":"nas-in-the-data","dir":"Articles","previous_headings":"","what":"NAs in the data","title":"Troubleshooting models that fail","text":"algorithms allow NAs. can generate problematic dataset loading Lacerta dataset, manually add NA: Let us set recipe fit workflow_set can see error self-explanatory. Also, note error impacts data splits (technically, rset objects): error repeated 15 times (5 splits 3 hyperparameter values). Prepping recipe (trains dataset) can help diagnosing problems: Note , training information, warned 1 row incomplete. use step_naomit deal programmatically, ascertain generating missing data (prefer latter, good SDM pipeline generate observations, presences pseudoabsences, missing data).","code":"library(tidysdm) #> Loading required package: tidymodels #> ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── #> ✔ broom        1.0.7     ✔ recipes      1.1.0 #> ✔ dials        1.3.0     ✔ rsample      1.2.1 #> ✔ dplyr        1.1.4     ✔ tibble       3.2.1 #> ✔ ggplot2      3.5.1     ✔ tidyr        1.3.1 #> ✔ infer        1.0.7     ✔ tune         1.2.1 #> ✔ modeldata    1.4.0     ✔ workflows    1.1.4 #> ✔ parsnip      1.2.1     ✔ workflowsets 1.1.0 #> ✔ purrr        1.0.2     ✔ yardstick    1.3.1 #> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter()  masks stats::filter() #> ✖ dplyr::lag()     masks stats::lag() #> ✖ recipes::step()  masks stats::step() #> • Dig deeper into tidy modeling with R at https://www.tmwr.org #> Loading required package: spatialsample lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) lacerta_thin$bio05[37] <- NA lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) %>%   step_rm(all_of(c(     \"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", \"bio08\",     \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\",     \"bio17\", \"bio18\", \"bio19\", \"altitude\"   )))  lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (342ms) #> i 2 of 2 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 2 of 2 tuning:     default_rf (1.9s) lacerta_prep <- lacerta_rec %>% prep(lacerta_thin) lacerta_prep #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:    1 #> predictor: 20 #> coords:     2 #>  #> ── Training information #> Training data contained 452 data points and 1 incomplete row. #>  #> ── Operations #> • Variables removed: bio01, bio02, bio03, bio04, bio07, bio08, ... | Trained"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a3_troubleshooting.html","id":"recipes-and-the-response-variable","dir":"Articles","previous_headings":"","what":"Recipes and the response variable","title":"Troubleshooting models that fail","text":"response variable treated special way recipes, can lead problems. best manipulate (e.g. transform character factor) response variable recipe, since response variable available train test models, make projections. hard-coded step recipe includes response variable, model fit, fail start making predictions. Another potential mistake remove response variable selecting variables interest. can happen use step_select choose variables interest, error less clear: Let’s load data create recipe step_select: Now create workflow set fit : errors intuitive. However, models failed algorithms, suggests problem lies data preparation side (either data , recipe). Ideally, already look data (summary glimpse). , case, know data fine. Whilst prepping (sometimes baking) recipe generally informative predictor variables, hard diagnose problems outcome variable recipe. Prepping show anything obvious: case, process exclusion. Everything seems fine, models don’t work. ask outcome variable might problematic. general rule, found easier rely step_rm remove variables (e.g. correlated variables).","code":"lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) suggested_vars <- c(\"bio05\", \"bio06\", \"bio13\", \"bio14\", \"bio15\") lacerta_rec_sel <- recipe(lacerta_thin, formula = class ~ .) %>%   step_select(all_of(suggested_vars)) lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec_sel),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # rf specs with tuning       rf = sdm_spec_rf()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid())  set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> → A | error:   ! `logistic_reg()` was unable to find an outcome. #>                ℹ Ensure that you have specified an outcome column and that it hasn't been #>                  removed in pre-processing. #> There were issues with some computations   A: x1 #> There were issues with some computations   A: x5 #>  #> Warning: All models failed. Run `show_notes(.Last.tune.result)` for more #> information. #> Warning: Unknown or uninitialised column: `.notes`. #> ✖ 1 of 2 resampling: default_glm failed with  #> i 2 of 2 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> → A | error:   ! `rand_forest()` was unable to find an outcome. #>                ℹ Ensure that you have specified an outcome column and that it hasn't been #>                  removed in pre-processing. #> Warning: All models failed. Run `show_notes(.Last.tune.result)` for more information. #> Unknown or uninitialised column: `.notes`. #> ✖ 2 of 2 tuning:     default_rf failed with lacerta_prep_sel <- lacerta_rec_sel %>% prep(lacerta_thin) lacerta_prep_sel #>  #> ── Recipe ────────────────────────────────────────────────────────────────────── #>  #> ── Inputs #> Number of variables by role #> outcome:    1 #> predictor: 20 #> coords:     2 #>  #> ── Training information #> Training data contained 452 data points and no incomplete rows. #>  #> ── Operations #> • Variables selected: bio05, bio06, bio13, bio14, bio15 | Trained"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a3_troubleshooting.html","id":"using-the-desired-formula-with-gam","dir":"Articles","previous_headings":"","what":"Using the desired formula with GAM","title":"Troubleshooting models that fail","text":"General Additive Models unusual syntax, user define variables fitted splines. tidysdm functions simplify process, assuming user just wants fit standard smooth every continuous predictor. Note step defining formula incompatible using step_cor recipe. step_cor removes correlated variables recipes, using similar algorithm filter_collinear using method cor_caret. However, algorithm fitted data split cross-validating. means different variables eventually presented model fitted split, leading error mismatch formula available variables. known issue GAMs implemented tidymodels.","code":"lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" ))  lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) %>%   step_rm(all_of(c(     \"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", \"bio08\",     \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\",     \"bio17\", \"bio18\", \"bio19\", \"altitude\"   )))  lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # the standard gam specs       gam = sdm_spec_gam()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # set formula for gams   update_workflow_model(\"default_gam\",     spec = sdm_spec_gam(),     formula = gam_formula(lacerta_rec)   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 2 resampling: default_glm #> ✔ 1 of 2 resampling: default_glm (290ms) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 2 of 2 resampling: default_gam #> ✔ 2 of 2 resampling: default_gam (1.5s)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/articles/a3_troubleshooting.html","id":"when-only-some-splits-fail","dir":"Articles","previous_headings":"","what":"When only some splits fail","title":"Troubleshooting models that fail","text":"examples , splits used cross-validation given algorithms failed. However, also possible failures occur splits certain algorithms (technically, specific rsplit within certain workflows). type problem occurs, best extract problematic workflow, potentially investigate fitting specific rsplit. generate problematic dataset subsampling lacerta dataset: create 3 folds attempt fit models: see one folds gives us error using GAMs. error (“Fitting terminated step failure - check results carefully”) comes gam function package mgcv. quick google StackOverflow[https://stats.stackexchange.com/questions/576273/gam-model-warning-message-step-failure--theta-estimation] gives us idea error comes . start extracting results gam fits: see , .notes column, second item empty (zero rows). can check indeed contains error wanted: can now get problematic data split, extract training data: case, nothing obvious leads error (important check make sure enough presences split; presences generally lead errors). can now extract workflow refit split confirm isolated problem: next step dig deeper data, trying understand whether outliers problematic. specific steps depend algorithm giving problems.","code":"lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) set.seed(123) lacerta_thin <- lacerta_thin[sample(   1:nrow(lacerta_thin),   nrow(lacerta_thin) / 5 ), ]  lacerta_rec <- recipe(lacerta_thin, formula = class ~ .) %>%   step_rm(all_of(c(     \"bio01\", \"bio02\", \"bio03\", \"bio04\", \"bio07\", \"bio08\",     \"bio09\", \"bio10\", \"bio11\", \"bio12\", \"bio14\", \"bio16\",     \"bio17\", \"bio18\", \"bio19\", \"altitude\"   )))  lacerta_models <-   # create the workflow_set   workflow_set(     preproc = list(default = lacerta_rec),     models = list(       # the standard glm specs       glm = sdm_spec_glm(),       # the standard gam specs       gam = sdm_spec_gam(),       # rf specs with tuning       rf = sdm_spec_rf()     ),     # make all combinations of preproc and models,     cross = TRUE   ) %>%   # set formula for gams   update_workflow_model(\"default_gam\",     spec = sdm_spec_gam(),     formula = gam_formula(lacerta_rec)   ) %>%   # tweak controls to store information needed later to create the ensemble   option_add(control = control_ensemble_grid()) set.seed(100) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 3) lacerta_models <-   lacerta_models %>%   workflow_map(\"tune_grid\",     resamples = lacerta_cv, grid = 3,     metrics = sdm_metric_set(), verbose = TRUE   ) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 1 of 3 resampling: default_glm #> ✔ 1 of 3 resampling: default_glm (199ms) #> i  No tuning parameters. `fit_resamples()` will be attempted #> i 2 of 3 resampling: default_gam #> → A | warning: Fitting terminated with step failure - check results carefully #> There were issues with some computations   A: x1 #> There were issues with some computations   A: x1 #>  #> ✔ 2 of 3 resampling: default_gam (1.7s) #> i 3 of 3 tuning:     default_rf #> i Creating pre-processing data to finalize unknown parameter: mtry #> ✔ 3 of 3 tuning:     default_rf (501ms) gam_results <- extract_workflow_set_result(lacerta_models, id = \"default_gam\") gam_results #> # Resampling results #> # 3-fold spatial block cross-validation  #> # A tibble: 3 × 5 #>   splits          id    .metrics         .notes           .predictions      #>                                                #> 1  Fold1    #> 2  Fold2    #> 3  Fold3    #>  #> There were issues with some computations: #>  #>   - Warning(s) x1: Fitting terminated with step failure - check results carefully #>  #> Run `show_notes(.Last.tune.result)` for more information. gam_results$.notes[2] #> [[1]] #> # A tibble: 1 × 3 #>   location                    type    note                                       #>                                                                   #> 1 preprocessor 1/1, model 1/1 warning Fitting terminated with step failure - ch… problem_split <- gam_results$splits[2][[1]] summary(training(problem_split)) #>        class             geometry      bio01           bio02        #>  presence :18   POINT        :63   Min.   : 4.74   Min.   : 6.737   #>  pseudoabs:45   epsg:4326    : 0   1st Qu.:11.81   1st Qu.: 9.336   #>                 +proj=long...: 0   Median :13.09   Median :10.937   #>                                    Mean   :12.88   Mean   :11.052   #>                                    3rd Qu.:14.82   3rd Qu.:12.649   #>                                    Max.   :17.87   Max.   :14.037   #>      bio03           bio04           bio05           bio06         #>  Min.   :34.30   Min.   :341.2   Min.   :19.90   Min.   :-6.2732   #>  1st Qu.:39.30   1st Qu.:500.8   1st Qu.:24.91   1st Qu.:-0.6787   #>  Median :40.55   Median :610.8   Median :28.59   Median : 1.1918   #>  Mean   :40.54   Mean   :584.6   Mean   :28.57   Mean   : 1.2175   #>  3rd Qu.:42.19   3rd Qu.:656.1   3rd Qu.:32.31   3rd Qu.: 3.5664   #>  Max.   :46.98   Max.   :756.7   Max.   :35.31   Max.   : 8.2344   #>      bio07           bio08            bio09            bio10       #>  Min.   :16.40   Min.   : 1.922   Min.   : 1.588   Min.   :12.86   #>  1st Qu.:23.32   1st Qu.: 7.716   1st Qu.:16.995   1st Qu.:18.53   #>  Median :27.88   Median : 9.668   Median :19.828   Median :20.51   #>  Mean   :27.35   Mean   : 9.450   Mean   :18.938   Mean   :20.48   #>  3rd Qu.:31.49   3rd Qu.:11.341   3rd Qu.:22.607   3rd Qu.:23.08   #>  Max.   :35.27   Max.   :16.882   Max.   :25.470   Max.   :25.71   #>      bio11            bio12            bio13           bio14       #>  Min.   :-2.060   Min.   : 249.0   Min.   : 36.0   Min.   : 2.00   #>  1st Qu.: 4.968   1st Qu.: 452.0   1st Qu.: 59.0   1st Qu.: 8.00   #>  Median : 6.236   Median : 628.0   Median : 91.0   Median :17.00   #>  Mean   : 6.268   Mean   : 757.8   Mean   :101.5   Mean   :21.97   #>  3rd Qu.: 8.455   3rd Qu.:1016.5   3rd Qu.:119.0   3rd Qu.:30.50   #>  Max.   :11.795   Max.   :1622.0   Max.   :248.0   Max.   :74.00   #>      bio15           bio16           bio17            bio18       #>  Min.   :13.44   Min.   : 96.0   Min.   : 17.00   Min.   : 22.0   #>  1st Qu.:30.07   1st Qu.:157.0   1st Qu.: 43.00   1st Qu.: 47.0   #>  Median :38.97   Median :249.0   Median : 71.00   Median : 78.0   #>  Mean   :41.58   Mean   :280.3   Mean   : 88.08   Mean   : 96.0   #>  3rd Qu.:54.30   3rd Qu.:334.0   3rd Qu.:109.50   3rd Qu.:117.5   #>  Max.   :71.59   Max.   :714.0   Max.   :253.00   Max.   :253.0   #>      bio19          altitude      #>  Min.   : 68.0   Min.   :  38.0   #>  1st Qu.:128.5   1st Qu.: 319.5   #>  Median :225.0   Median : 689.0   #>  Mean   :252.5   Mean   : 685.5   #>  3rd Qu.:319.5   3rd Qu.: 855.0   #>  Max.   :714.0   Max.   :1926.0 gam_workflow <- extract_workflow(lacerta_models, id = \"default_gam\") faulty_gam <- fit(gam_workflow, training(problem_split)) #> Warning in newton(lsp = lsp, X = G$X, y = G$y, Eb = G$Eb, UrS = G$UrS, L = G$L, #> : Fitting terminated with step failure - check results carefully"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Michela Leonardi. Author. Margherita Colucci. Author. Andrea Vittorio Pozzi. Author. Eleanor M.L. Scerri. Author. Ben Tupper. Contributor. Andrea Manica. Author, maintainer.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Leonardi M, Colucci M, Pozzi , Scerri E, Manica (2024). tidysdm: Species Distribution Models Tidymodels. R package version 0.9.6.9004, https://evolecolgroup.github.io/tidysdm/, https://github.com/EvolEcolGroup/tidysdm.","code":"@Manual{,   title = {tidysdm: Species Distribution Models with Tidymodels},   author = {Michela Leonardi and Margherita Colucci and Andrea Vittorio Pozzi and Eleanor M.L. Scerri and Andrea Manica},   year = {2024},   note = {R package version 0.9.6.9004,     https://evolecolgroup.github.io/tidysdm/},   url = {https://github.com/EvolEcolGroup/tidysdm}, }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/index.html","id":"tidysdm-","dir":"","previous_headings":"","what":"Species Distribution Models with Tidymodels","title":"Species Distribution Models with Tidymodels","text":"goal tidysdm implement Species Distribution Models using tidymodels framework. advantage tidymodels model syntax results returned user standardised, thus providing coherent interface modelling. Given variety models required SDM, tidymodels ideal framework. tidysdm provides number wrappers specialised functions facilitate fitting SDM tidymodels. Besides modelling contemporary species, tidysdm number functions specifically designed work palaeontological data. Whilst users free use environmental data, articles showcase potential integration pastclim, helps downloading manipulating present day data, future predictions, palaeoclimate reconstructions. overview capabilities tidysdm given Leonardi et al. (2023).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Species Distribution Models with Tidymodels","text":"tidysdm CRAN, easiest way install : version CRAN recommended every day use. New features bug fixes appear first dev branch GitHub, make way CRAN. need early access new features, can install tidysdm directly GitHub. install GitHub, need use devtools; haven’t done already, get CRAN install.packages(\"devtools\"). can install latest dev version tidysdm GitHub :","code":"install.packages(\"tidysdm\") # install.packages(\"devtools\") devtools::install_github(\"EvolEcolGroup/tidysdm\", ref = \"dev\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/index.html","id":"overview-of-functionality","dir":"","previous_headings":"","what":"Overview of functionality","title":"Species Distribution Models with Tidymodels","text":"dedicated website, can find Articles giving step--step overview fitting SDMs contemporary species, well equivalent tutorial using palaeontological data. Furthermore, Article examples leverage various features tidymodels commonly adopted SDM pipelines also dev version site updated dev branch tidysdm (top left dev website, version number red format x.x.x.9xxx, indicating development version). want contribute, make sure read contributing guide.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/index.html","id":"when-something-does-not-work","dir":"","previous_headings":"","what":"When something does not work","title":"Species Distribution Models with Tidymodels","text":"get error trying fit model? tidysdm relatively new package, might well , get error, might encountered bug. However, also possible misspecified model (error comes tidymodels, model valid). prepared Article diagnose failing models. fully comprehensive list everything go wrong, hopefully give ideas dig deeper wrong. also check issues GitHub see whether problem already reported. convinced problem bug tidysdm, feel free create new issue. Please make sure updated latest version tidysdm, well updating packages system, provide reproducible example developers investigate problem. think can help fixing bug, read contributing guide.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_member.html","id":null,"dir":"Reference","previous_headings":"","what":"Add best member of workflow to a simple ensemble — add_member","title":"Add best member of workflow to a simple ensemble — add_member","text":"function adds member(s) simple_ensemble() object, taking best member workflow provided. possible pass individual tune_results objects tuned workflow, workflowsets::workflow_set().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_member.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add best member of workflow to a simple ensemble — add_member","text":"","code":"add_member(x, member, ...)  # Default S3 method add_member(x, member, ...)  # S3 method for class 'tune_results' add_member(x, member, metric = NULL, id = NULL, ...)  # S3 method for class 'workflow_set' add_member(x, member, metric = NULL, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_member.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add best member of workflow to a simple ensemble — add_member","text":"x simple_ensemble member(s) added member  tune_results, workflowsets::workflow_set ... used moment. metric character string (NULL) metric optimize. NULL, first metric used. id name given workflow wflow_id column.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_member.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add best member of workflow to a simple ensemble — add_member","text":"simple_ensemble additional member(s)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_repeat.html","id":null,"dir":"Reference","previous_headings":"","what":"Add repeat(s) to a repeated ensemble — add_repeat","title":"Add repeat(s) to a repeated ensemble — add_repeat","text":"function adds repeat(s) repeat_ensemble object, repeat simple_ensemble. repeats must contain members, selected using metric.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_repeat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add repeat(s) to a repeated ensemble — add_repeat","text":"","code":"add_repeat(x, rep, ...)  # Default S3 method add_repeat(x, rep, ...)  # S3 method for class 'simple_ensemble' add_repeat(x, rep, ...)  # S3 method for class 'list' add_repeat(x, rep, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_repeat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add repeat(s) to a repeated ensemble — add_repeat","text":"x repeat_ensemble repeat(s) added rep repeat, single simple_ensemble, list simple_ensemble objects ... used moment.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/add_repeat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add repeat(s) to a repeated ensemble — add_repeat","text":"repeat_ensemble additional repeat(s)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the results of a simple ensemble — autoplot.simple_ensemble","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"autoplot() method plots performance metrics ranked using metric.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"","code":"# S3 method for class 'simple_ensemble' autoplot(   object,   rank_metric = NULL,   metric = NULL,   std_errs = stats::qnorm(0.95),   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"object simple_ensemble whose elements results. rank_metric character string metric used rank results. none given, first metric metric set used (filtering metric option). metric character vector metrics (apart rank_metric) included visualization. NULL (default), available metrics plotted std_errs number standard errors plot (standard error exists). ... options pass autoplot(). Currently unused.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"ggplot object.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"function intended produce default plot visualize helpful information across possible applications simple_ensemble. sophisticated plots can produced using standard ggplot2 code plotting. x-axis workflow rank set (value one best) versus performance metric(s) y-axis. multiple metrics, facets metric, rank_metric first (provided; otherwise metric used create simple_ensemble used). multiple resamples used, confidence bounds shown result (95% confidence, default).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.simple_ensemble.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the results of a simple ensemble — autoplot.simple_ensemble","text":"","code":"# \\donttest{ #' # we use the two_class_example from `workflowsets` two_class_ens <- simple_ensemble() %>%   add_member(two_class_res, metric = \"roc_auc\") #>  #> Attaching package: ‘plotrix’ #> The following object is masked from ‘package:scales’: #>  #>     rescale autoplot(two_class_ens)  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"method provides good visualization method spatial initial rsplit.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"","code":"# S3 method for class 'spatial_initial_split' autoplot(object, ..., alpha = 0.6)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"object spatial_initial_rsplit object. Note resamples made sf objects  create spatial_initial_rsplit objects; function work resamples made non-spatial tibbles data.frames. ... Options passed ggplot2::geom_sf(). alpha Opacity, passed ggplot2::geom_sf(). Values alpha range 0 1, lower values corresponding transparent colors.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"ggplot object fold assigned color, made using ggplot2::geom_sf().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"plot method wrapper around standard spatial_rsplit method, re-labels folds Testing Training following convention standard initial_split object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/autoplot.spatial_initial_split.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a ggplot for a spatial initial rsplit. — autoplot.spatial_initial_split","text":"","code":"set.seed(123) block_initial <- spatial_initial_split(boston_canopy,   prop = 1 / 5, spatial_block_cv ) autoplot(block_initial)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert an object created with blockCV to an rsample object — blockcv2rsample","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"function creates objects created blockCV rsample objects can used tidysdm. BlockCV provides sophisticated sampling options spatialsample library. example, possible stratify sampling ensure presences absences evenly distributed among folds (see example ).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"","code":"blockcv2rsample(x, data)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"x object created blockCV function data sf object used create x","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"rsample object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"Note currently objects type cv_spatial cv_cluster supported.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/blockcv2rsample.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert an object created with blockCV to an rsample object — blockcv2rsample","text":"","code":"# \\donttest{ library(blockCV) #> blockCV 3.1.5 points <- read.csv(system.file(\"extdata/\", \"species.csv\", package = \"blockCV\")) pa_data <- sf::st_as_sf(points, coords = c(\"x\", \"y\"), crs = 7845) sb1 <- cv_spatial(   x = pa_data,   column = \"occ\", # the response column to balance the folds   k = 5, # number of folds   size = 350000, # size of the blocks in metres   selection = \"random\", # random blocks-to-fold   iteration = 10 ) # find evenly dispersed folds #>    |                                                                               |                                                                      |   0%   |                                                                               |=======                                                               |  10%   |                                                                               |==============                                                        |  20%   |                                                                               |=====================                                                 |  30%   |                                                                               |============================                                          |  40%   |                                                                               |===================================                                   |  50%   |                                                                               |==========================================                            |  60%   |                                                                               |=================================================                     |  70%   |                                                                               |========================================================              |  80%   |                                                                               |===============================================================       |  90%   |                                                                               |======================================================================| 100% #>   train_0 train_1 test_0 test_1 #> 1     172     207     85     36 #> 2     218     202     39     41 #> 3     218     192     39     51 #> 4     217     171     40     72 #> 5     203     200     54     43  sb1_rsample <- blockcv2rsample(sb1, pa_data) class(sb1_rsample) #> [1] \"spatial_rset\" \"rset\"         \"tbl_df\"       \"tbl\"          \"data.frame\"   autoplot(sb1_rsample)  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":null,"dir":"Reference","previous_headings":"","what":"Boyce continuous index (BCI) — boyce_cont","title":"Boyce continuous index (BCI) — boyce_cont","text":"function Boyce Continuous Index, measure model accuracy appropriate Species Distribution Models presence data (.e. using pseudoabsences background). algorithm used comes package enmSdm, uses multiple overlapping windows.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Boyce continuous index (BCI) — boyce_cont","text":"","code":"boyce_cont(data, ...)  # S3 method for class 'data.frame' boyce_cont(   data,   truth,   ...,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL )  # S3 method for class 'sf' boyce_cont(data, ...)  boyce_cont_vec(   truth,   estimate,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Boyce continuous index (BCI) — boyce_cont","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimator One \"binary\", \"hand_till\", \"macro\", \"macro_weighted\" specify type averaging done. \"binary\" relevant two class case. others general methods calculating multiclass metrics. default automatically choose \"binary\" truth binary, \"hand_till\" truth >2 levels case_weights specified, \"macro\" truth >2 levels case_weights specified (case \"hand_till\" well-defined). na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\" case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Boyce continuous index (BCI) — boyce_cont","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Boyce continuous index (BCI) — boyce_cont","text":"multiclass version function, operates binary predictions (e.g. presences absences SDMs).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Boyce continuous index (BCI) — boyce_cont","text":"Boyce, M.S., P.R. Vernier, S.E. Nielsen F.K.. Schmiegelow. 2002. Evaluating resource selection functions. Ecol. Model., 157, 281-300. Hirzel, .H., G. Le Lay, V. Helfer, C. Randin . Guisan. 2006. Evaluating ability habitat suitability models predict species presences. Ecol. Model., 199, 142-152.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/boyce_cont.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Boyce continuous index (BCI) — boyce_cont","text":"","code":"boyce_cont(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #>   .metric    .estimator .estimate #>                    #> 1 boyce_cont binary         0.805"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":null,"dir":"Reference","previous_headings":"","what":"Calibrate class thresholds — calib_class_thresh","title":"Calibrate class thresholds — calib_class_thresh","text":"Predict new dataset using simple ensemble. Predictions individual models combined according fun","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calibrate class thresholds — calib_class_thresh","text":"","code":"calib_class_thresh(object, class_thresh, metric_thresh = NULL)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calibrate class thresholds — calib_class_thresh","text":"object simple_ensemble object class_thresh probability threshold used convert probabilities classes. can number (0 1), character metric (currently \"tss_max\", \"kap_max\" \"sensitivity\"). sensitivity, additional target value passed along second element vector, e.g. c(\"sensitivity\",0.8). metric_thresh vector length 2 giving metric threshold, used prune models ensemble used prediction. 'metrics' need computed workflow tuned. metric's threshold needs match value used prediction. Examples c(\"accuracy\",0.8) c(\"boyce_cont\",0.7).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calibrate class thresholds — calib_class_thresh","text":"simple_ensemble object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/calib_class_thresh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calibrate class thresholds — calib_class_thresh","text":"","code":"test_ens <- simple_ensemble() %>%   add_member(two_class_res[1:3, ], metric = \"roc_auc\") test_ens <- calib_class_thresh(test_ens, class_thresh = \"tss_max\") test_ens <- calib_class_thresh(test_ens, class_thresh = \"kap_max\") test_ens <- calib_class_thresh(test_ens, class_thresh = c(\"sens\", 0.9))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_coords_names.html","id":null,"dir":"Reference","previous_headings":"","what":"Check that we have a valid pair of coordinate names — check_coords_names","title":"Check that we have a valid pair of coordinate names — check_coords_names","text":"internal function checks coords (passed functions) valid set names, , NULL, standard variable names data","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_coords_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check that we have a valid pair of coordinate names — check_coords_names","text":"","code":"check_coords_names(data, coords)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_coords_names.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check that we have a valid pair of coordinate names — check_coords_names","text":"data data.frame containing locations. coords vector length two giving names \"x\" \"y\" coordinates, points data.frame use standard names.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_coords_names.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check that we have a valid pair of coordinate names — check_coords_names","text":"vector length 2 valid names, correct order","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_sdm_presence.html","id":null,"dir":"Reference","previous_headings":"","what":"Check that the column with presences is correctly formatted — check_sdm_presence","title":"Check that the column with presences is correctly formatted — check_sdm_presence","text":"tidysdm, string defining presences first level response factor. function checks column correctly formatted.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_sdm_presence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check that the column with presences is correctly formatted — check_sdm_presence","text":"","code":"check_sdm_presence(.data, .col, presence_level = \"presence\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_sdm_presence.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check that the column with presences is correctly formatted — check_sdm_presence","text":".data data.frame tibble, derived object sf data.frame .col column containing presences presence_level string used define presence level .col","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_sdm_presence.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check that the column with presences is correctly formatted — check_sdm_presence","text":"TRUE correctly formatted","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":null,"dir":"Reference","previous_headings":"","what":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"Check balance presences vs pseudoabsences among splits","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"","code":"check_splits_balance(splits, .col)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"splits data splits (rset split object), generated function spatialsample::spatial_block_cv() .col column containing presences","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"tibble number presences pseudoabsences assessment analysis set split (training testing initial split)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/check_splits_balance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check the balance of presences vs pseudoabsences among splits — check_splits_balance","text":"","code":"lacerta_thin <- readRDS(system.file(\"extdata/lacerta_climate_sf.RDS\",   package = \"tidysdm\" )) lacerta_cv <- spatial_block_cv(lacerta_thin, v = 5) check_splits_balance(lacerta_cv, class) #> # A tibble: 5 × 4 #>   presence_assessment pseudoabs_assessment presence_analysis pseudoabs_analysis #>                                                             #> 1                  80                  273                33                 66 #> 2                  80                  283                33                 56 #> 3                  97                  272                16                 67 #> 4                  94                  262                19                 77 #> 5                 101                  267                12                 72"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/clamp_predictors.html","id":null,"dir":"Reference","previous_headings":"","what":"Clamp the predictors to match values in training set — clamp_predictors","title":"Clamp the predictors to match values in training set — clamp_predictors","text":"function clamps environmental variables terra::SpatRaster terra::SpatRasterDataset minimum maximum values exceed range training dataset.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/clamp_predictors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Clamp the predictors to match values in training set — clamp_predictors","text":"","code":"clamp_predictors(x, training, .col, use_na)  # Default S3 method clamp_predictors(x, training, .col, use_na)  # S3 method for class 'stars' clamp_predictors(x, ...)  # S3 method for class 'SpatRaster' clamp_predictors(x, training, .col, use_na = FALSE)  # S3 method for class 'SpatRasterDataset' clamp_predictors(x, training, .col, use_na = FALSE)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/clamp_predictors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Clamp the predictors to match values in training set — clamp_predictors","text":"x terra::SpatRaster, stars terra::SpatRasterDataset clamp. training training dataset (data.frame sf::sf object. .col column containing presences (optional). specified, excluded clamping. use_na boolean determining whether values outside range training dataset removed (set NA). FALSE (default), values outside training range replaced extremes training range. ... additional arguments specific given object type","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/clamp_predictors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Clamp the predictors to match values in training set — clamp_predictors","text":"terra::SpatRaster terra::SpatRasterDataset clamped ranges training","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"Return tibble performance metrics models.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"","code":"# S3 method for class 'simple_ensemble' collect_metrics(x, ...)  # S3 method for class 'repeat_ensemble' collect_metrics(x, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"x simple_ensemble repeat_ensemble object ... currently used.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"tibble.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"applied ensemble, metrics returned contain actual tuning parameter columns values (unlike collect functions run objects). reason ensembles contain different types models models different tuning parameters.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/collect_metrics.simple_ensemble.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Obtain and format results produced by tuning functions for ensemble objects — collect_metrics.simple_ensemble","text":"","code":"collect_metrics(lacerta_ensemble) #> # A tibble: 12 × 5 #>    wflow_id       .metric     mean std_err     n #>                         #>  1 default_glm    boyce_cont 0.661 0.192       3 #>  2 default_glm    roc_auc    0.779 0.0149      3 #>  3 default_glm    tss_max    0.494 0.0612      3 #>  4 default_rf     boyce_cont 0.637 0.0367      3 #>  5 default_rf     roc_auc    0.773 0.0180      3 #>  6 default_rf     tss_max    0.497 0.0118      3 #>  7 default_gbm    boyce_cont 0.550 0.188       3 #>  8 default_gbm    roc_auc    0.776 0.0107      3 #>  9 default_gbm    tss_max    0.514 0.0202      3 #> 10 default_maxent boyce_cont 0.622 0.0412      3 #> 11 default_maxent roc_auc    0.809 0.00822     3 #> 12 default_maxent tss_max    0.572 0.00390     3 collect_metrics(lacerta_rep_ens) #> # A tibble: 18 × 6 #>    rep_id wflow_id       .metric     mean std_err     n #>                           #>  1 rep_01 default_glm    boyce_cont 0.796 0.0241      5 #>  2 rep_01 default_glm    roc_auc    0.974 0.00385     5 #>  3 rep_01 default_glm    tss_max    0.881 0.0155      5 #>  4 rep_01 default_maxent boyce_cont 0.834 0.0603      5 #>  5 rep_01 default_maxent roc_auc    0.981 0.0129      5 #>  6 rep_01 default_maxent tss_max    0.914 0.0345      5 #>  7 rep_02 default_glm    boyce_cont 0.716 0.0520      5 #>  8 rep_02 default_glm    roc_auc    0.940 0.0268      5 #>  9 rep_02 default_glm    tss_max    0.813 0.0543      5 #> 10 rep_02 default_maxent boyce_cont 0.808 0.0745      5 #> 11 rep_02 default_maxent roc_auc    0.982 0.00807     5 #> 12 rep_02 default_maxent tss_max    0.883 0.0270      5 #> 13 rep_03 default_glm    boyce_cont 0.402 0.179       5 #> 14 rep_03 default_glm    roc_auc    0.940 0.0202      5 #> 15 rep_03 default_glm    tss_max    0.821 0.0330      5 #> 16 rep_03 default_maxent boyce_cont 0.908 0.0312      5 #> 17 rep_03 default_maxent roc_auc    0.976 0.00727     5 #> 18 rep_03 default_maxent tss_max    0.854 0.0345      5"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/conf_matrix_df.html","id":null,"dir":"Reference","previous_headings":"","what":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","title":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","text":"Create confusion matrix multiple thresholds, using optimise tss","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/conf_matrix_df.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","text":"","code":"conf_matrix_df(presences, absences)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/conf_matrix_df.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","text":"presences Probabilities presences absences probabilities absences","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/conf_matrix_df.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make a confusion matrix dataframe for multiple thresholds — conf_matrix_df","text":"data.frame thresholds columns thres, tp, fp, fn, tn","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/control_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Control wrappers — control_ensemble_grid","title":"Control wrappers — control_ensemble_grid","text":"Supply light wrappers control argument tune::tune_grid(), tune::tune_bayes(), tune::fit_resamples() call return needed elements use ensemble. functions return appropriate control grid ensure assessment set predictions information model specifications preprocessors, supplied resampling results object! integrate ensemble settings existing control settings, note functions just call appropriate tune::control_* function arguments save_pred = TRUE, save_workflow = TRUE. wrappers equivalent ones used stacks package.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/control_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Control wrappers — control_ensemble_grid","text":"","code":"control_ensemble_grid()  control_ensemble_resamples()  control_ensemble_bayes()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/control_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Control wrappers — control_ensemble_grid","text":"tune::control_grid, tune::control_bayes, tune::control_resamples object.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":null,"dir":"Reference","previous_headings":"","what":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":"environmental variable, function computes density functions presences absences returns (1-overlap), measure distance two distributions. Variables high distance good candidates SDMs, species occurrences confined subset available background.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":"","code":"dist_pres_vs_bg(.data, .col)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":".data data.frame (derived object, tibble, sf) values bioclimate variables presences background .col column containing presences; assumes presences first level factor","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":"name vector distances","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/dist_pres_vs_bg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Distance between the distribution of climate values for presences vs background — dist_pres_vs_bg","text":"","code":"# This should be updated to use a dataset from tidysdm data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>%   dplyr::mutate(presence = relevel(     factor(       dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")     ),     ref = \"presence\"   )) %>%   select(-ecoreg)  bradypus_tb %>% dist_pres_vs_bg(presence) #> pre6190_l10 frs6190_ann tmn6190_ann pre6190_ann vap6190_ann  pre6190_l7  #>   0.4366602   0.4299480   0.4295013   0.4096230   0.3945855   0.3933454  #>       h_dem tmp6190_ann dtr6190_ann  pre6190_l4 tmx6190_ann cld6190_ann  #>   0.3647375   0.3316686   0.3288771   0.2544976   0.2418274   0.1812527  #>  pre6190_l1  #>   0.1297035"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":null,"dir":"Reference","previous_headings":"","what":"Create explainer from your tidysdm ensembles. — explain_tidysdm","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"DALEX designed explore explain behaviour Machine Learning methods. function creates DALEX explainer (see DALEX::explain()), can queried multiple function create explanations model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"","code":"explain_tidysdm(   model,   data,   y,   predict_function,   predict_function_target_column,   residual_function,   ...,   label,   verbose,   precalculate,   colorize,   model_info,   type,   by_workflow )  # Default S3 method explain_tidysdm(   model,   data = NULL,   y = NULL,   predict_function = NULL,   predict_function_target_column = NULL,   residual_function = NULL,   ...,   label = NULL,   verbose = TRUE,   precalculate = TRUE,   colorize = !isTRUE(getOption(\"knitr.in.progress\")),   model_info = NULL,   type = \"classification\",   by_workflow = FALSE )  # S3 method for class 'simple_ensemble' explain_tidysdm(   model,   data = NULL,   y = NULL,   predict_function = NULL,   predict_function_target_column = NULL,   residual_function = NULL,   ...,   label = NULL,   verbose = TRUE,   precalculate = TRUE,   colorize = !isTRUE(getOption(\"knitr.in.progress\")),   model_info = NULL,   type = \"classification\",   by_workflow = FALSE )  # S3 method for class 'repeat_ensemble' explain_tidysdm(   model,   data = NULL,   y = NULL,   predict_function = NULL,   predict_function_target_column = NULL,   residual_function = NULL,   ...,   label = NULL,   verbose = TRUE,   precalculate = TRUE,   colorize = !isTRUE(getOption(\"knitr.in.progress\")),   model_info = NULL,   type = \"classification\",   by_workflow = FALSE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"model object - model explained data data.frame matrix - data used calculate explanations. provided, extracted model. Data passed without target column (shall provided y argument). NOTE: target variable present data, functionalities may work properly. y numeric vector outputs/scores. provided, shall size data predict_function function takes two arguments: model new data returns numeric vector predictions.   default yhat. predict_function_target_column Character numeric containing either column name column number model prediction object class considered positive (.e. class associated probability 1). NULL, second column output taken binary classification. multiclass classification setting, parameter cause switch binary classification mode one vs others probabilities. residual_function function takes four arguments: model, data, target vector y predict function (optionally). return numeric vector model residuals given data. provided, response residuals (\\(y-\\hat{y}\\)) calculated. default residual_function_default. ... parameters label character - name model. default extracted 'class' attribute model verbose logical. TRUE (default) diagnostic messages printed precalculate logical. TRUE (default) predicted_values residual calculated explainer created. happen also verbose TRUE. Set verbose precalculate FALSE omit calculations. colorize logical. TRUE (default) WARNINGS, ERRORS NOTES colorized. work R console. Now default FALSE knitting TRUE otherwise. model_info named list (package, version, type) containing information model. NULL, DALEX seek information . type type model, either classification regression. specified type extracted model_info. by_workflow boolean determining whether list explainer, one per model, returned instead single explainer ensemble","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"explainer object DALEX::explain ready work DALEX","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/explain_tidysdm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create explainer from your tidysdm ensembles. — explain_tidysdm","text":"","code":"# \\donttest{ # using the whole ensemble lacerta_explainer <- explain_tidysdm(tidysdm::lacerta_ensemble) #> Preparation of a new explainer is initiated #>   -> model label       :  data.frame  (  default  ) #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  predict_function  #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidysdm , ver. 0.9.6.9004 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.02638562 , mean =  0.2951438 , max =  0.7778588   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.6797394 , mean =  -0.04514377 , max =  0.7720678   #>   A new explainer has been created!   # by workflow explainer_list <- explain_tidysdm(tidysdm::lacerta_ensemble,   by_workflow = TRUE ) #> Preparation of a new explainer is initiated #>   -> model label       :  default_glm  #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.2554356 , mean =  0.75 , max =  0.9838188   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.9314151 , mean =  9.574021e-12 , max =  0.7445644   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_rf  #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.06715952 , mean =  0.7496213 , max =  1   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.6303111 , mean =  0.0003787291 , max =  0.5929444   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_gbm  #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.2205058 , mean =  0.7324831 , max =  0.9634812   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.8709313 , mean =  0.01751694 , max =  0.6855955   #>   A new explainer has been created!   #> Preparation of a new explainer is initiated #>   -> model label       :  default_maxent  #>   -> data              :  448  rows  4  cols  #>   -> data              :  tibble converted into a data.frame  #>   -> target variable   :  448  values  #>   -> predict function  :  yhat.workflow  will be used (  default  ) #>   -> predicted values  :  No value for predict function target column. (  default  ) #>   -> model_info        :  package tidymodels , ver. 1.2.0 , task classification (  default  )  #>   -> model_info        :  type set to  classification  #>   -> predicted values  :  numerical, min =  0.03884931 , mean =  0.5873206 , max =  0.9584494   #>   -> residual function :  difference between y and yhat (  default  ) #>   -> residuals         :  numerical, min =  -0.8338183 , mean =  0.1626794 , max =  0.9611507   #>   A new explainer has been created!   # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":null,"dir":"Reference","previous_headings":"","what":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"Compute multivariate environmental similarity surfaces (MESS), described Elith et al., 2010.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"","code":"extrapol_mess(x, training, .col, ...)  # Default S3 method extrapol_mess(x, training, ...)  # S3 method for class 'stars' extrapol_mess(x, ...)  # S3 method for class 'SpatRaster' extrapol_mess(x, training, .col, filename = \"\", ...)  # S3 method for class 'data.frame' extrapol_mess(x, training, .col, ...)  # S3 method for class 'SpatRasterDataset' extrapol_mess(x, training, .col, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"x terra::SpatRaster, stars, terra::SpatRasterDataset data.frame training matrix data.frame sf object containing reference values; column correspond one layer terra::SpatRaster object, exception presences column defined .col (optional). .col column containing presences (optional). specified, excluded computing MESS scores. ... additional arguments terra::writeRaster() filename character. Output filename (optional)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"terra::SpatRaster (data.frame) MESS values.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"function modified version mess package predicts, method added work terra::SpatRasterDataset. Note method terra::SpatRasterDataset assumes variables stored terra::SpatRaster time information within x. Time also assumed years. conditions met, possible manually extract terra::SpatRaster time step, use extrapol_mess terra::SpatRasters","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"Elith J., M. Kearney M., S. Phillips, 2010. art modelling range-shifting species. Methods Ecology Evolution 1:330-342.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/extrapol_mess.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Multivariate environmental similarity surfaces (MESS) — extrapol_mess","text":"Jean-Pierre Rossi, Robert Hijmans, Paulo van Breugel, Andrea Manica","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":null,"dir":"Reference","previous_headings":"","what":"Filter to retain only variables that have low collinearity — filter_collinear","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"method finds subset variables low collinearity. provides three methods: cor_caret, stepwise approach remove variables pairwise correlation given cutoff, choosing variable greatest mean correlation (based algorithm caret::findCorrelation); vif_step, stepwise approach remove variables variance inflation factor given cutoff (based algorithm usdm::vifstep), vif_cor, stepwise approach , step, find pair variables highest correlation cutoff removes one largest vif. correlation certain cutoff. methods terra::SpatRaster, data.frame matrix. terra::SpatRaster data.frame, numeric variables considered.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"","code":"filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   ... )  # Default S3 method filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   ... )  # S3 method for class 'stars' filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   exhaustive = FALSE,   ... )  # S3 method for class 'SpatRaster' filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   exhaustive = FALSE,   ... )  # S3 method for class 'data.frame' filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   ... )  # S3 method for class 'matrix' filter_collinear(   x,   cutoff = NULL,   verbose = FALSE,   names = TRUE,   to_keep = NULL,   method = \"cor_caret\",   cor_type = \"pearson\",   max_cells = Inf,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"x terra::SpatRaster stars object, data.frame (numeric variables) cutoff numeric value used threshold remove variables. , \"cor_caret\" \"vif_cor\", pair-wise absolute correlation cutoff, defaults 0.7. \"vif_step\", variable inflation factor, defaults 10 verbose boolean whether additional information provided screen names logical; column names returned TRUE column index FALSE)? to_keep vector variable names want force set (note function return error correlation among variables higher cutoff). method character. One \"cor_caret\", \"vif_cor\" \"vif_step\". cor_type character. methods use correlation, type correlation: \"pearson\", \"kendall\", \"spearman\". Defaults \"pearson\" max_cells positive integer. maximum number cells used. smaller ncell(x), regular sample x used ... additional arguments specific given object type exhaustive boolean. Used terra::SpatRaster downsampling max_cells, require exhaustive approach terra::spatSample(). needed rasters sparse large, see help page terra::spatSample() details.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"vector names columns correlation threshold (names = TRUE), otherwise vector indices. Note indices numeric variables (.e. factors present, indices take account).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"Naimi, B., Hamm, N..S., Groen, T.., Skidmore, .K., Toxopeus, .G. 2014. positional uncertainty problem species distribution modelling?, Ecography 37 (2): 191-203.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_collinear.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Filter to retain only variables that have low collinearity — filter_collinear","text":"cor_caret: Original R code Dong Li, modified Max Kuhn Andrea Manica; vif_step vif_cor, original algorithm Babak Naimi, rewritten Andrea Manica tidysdm","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"FUNCTION DEPRECATED. USE filter_collinear method=cor_caret instead","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"","code":"filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)  # Default S3 method filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)  # S3 method for class 'SpatRaster' filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)  # S3 method for class 'data.frame' filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)  # S3 method for class 'matrix' filter_high_cor(x, cutoff = 0.7, verbose = FALSE, names = TRUE, to_keep = NULL)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"x terra::SpatRaster object, data.frame (numeric variables), correlation matrix cutoff numeric value pair-wise absolute correlation cutoff verbose boolean printing details names logical; column names returned TRUE column index FALSE)? to_keep vector variable names want force set (note function return error correlation among variables higher cutoff).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"vector names columns correlation threshold (names = TRUE), otherwise vector indices. Note indices numeric variables (.e. factors present, indices take account).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/filter_high_cor.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Deprecated: Filter to retain only variables below a given correlation threshold — filter_high_cor","text":"method finds subset variable correlation certain cutoff. methods terra::SpatRaster, data.frame, work directly correlation matrix previously estimated. data.frame, numeric variables considered. algorithm based caret::findCorrelation, using exact option. absolute values pair-wise correlations considered. two variables high correlation, function looks mean absolute correlation variable removes variable largest mean absolute correlation. several function package subselect can also used accomplish goal tend retain predictors.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the response variable from a formula — form_resp","title":"Get the response variable from a formula — form_resp","text":"counterpart rsample::form_pred.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the response variable from a formula — form_resp","text":"","code":"form_resp(x)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the response variable from a formula — form_resp","text":"x formula","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the response variable from a formula — form_resp","text":"character name response","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/form_resp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get the response variable from a formula — form_resp","text":"Note: might behave well functions log(y). neither form_pred modified https://stackoverflow.com/questions/13217322/--reliably-get-dependent-variable-name--formula-object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/gam_formula.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a formula for gam — gam_formula","title":"Create a formula for gam — gam_formula","text":"function takes formula recipe, turns numeric predictors smooths given k. formula can passed workflow workflow set fitting gam.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/gam_formula.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a formula for gam — gam_formula","text":"","code":"gam_formula(object, k = 10)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/gam_formula.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a formula for gam — gam_formula","text":"object recipes::recipe, already trained k k value smooth","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/gam_formula.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a formula for gam — gam_formula","text":"formula","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":null,"dir":"Reference","previous_headings":"","what":"Split violin geometry for ggplots — geom_split_violin","title":"Split violin geometry for ggplots — geom_split_violin","text":"geometry displays density distribution two groups side side, two halves violin. Note emptyx aesthetic provided even want plot single variable (see example ).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split violin geometry for ggplots — geom_split_violin","text":"","code":"geom_split_violin(   mapping = NULL,   data = NULL,   stat = \"ydensity\",   position = \"identity\",   nudge = 0,   ...,   draw_quantiles = NULL,   trim = TRUE,   scale = \"area\",   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split violin geometry for ggplots — geom_split_violin","text":"mapping Set aesthetic mappings created aes(). specified inherit.aes = TRUE (default), combined default mapping top level plot. must supply mapping plot mapping. data data displayed layer. three options: NULL, default, data inherited plot data specified call ggplot(). data.frame, object, override plot data. objects fortified produce data frame. See fortify() variables created. function called single argument, plot data. return value must data.frame, used layer data. function can created formula (e.g. ~ head(.x, 10)). stat Use override default connection ggplot2::geom_violin() ggplot2::stat_ydensity(). position position adjustment use data layer. can used various ways, including prevent overplotting improving display. position argument accepts following: result calling position function, position_jitter(). method allows passing extra arguments position. string naming position adjustment. give position string, strip function name position_ prefix. example, use position_jitter(), give position \"jitter\". information ways specify position, see layer position documentation. nudge Add space half-violin middle space allotted given factor x-axis. ... arguments passed layer()'s params argument. arguments broadly fall one 4 categories . Notably, arguments position argument, aesthetics required can passed .... Unknown arguments part 4 categories ignored. Static aesthetics mapped scale, fixed value apply layer whole. example, colour = \"red\" linewidth = 3. geom's documentation Aesthetics section lists available options. 'required' aesthetics passed params. Please note passing unmapped aesthetics vectors technically possible, order required length guaranteed parallel input data. constructing layer using stat_*() function, ... argument can used pass parameters geom part layer. example stat_density(geom = \"area\", outline.type = \"\"). geom's documentation lists parameters can accept. Inversely, constructing layer using geom_*() function, ... argument can used pass parameters stat part layer. example geom_area(stat = \"density\", adjust = 0.5). stat's documentation lists parameters can accept. key_glyph argument layer() may also passed .... can one functions described key glyphs, change display layer legend. draw_quantiles (NULL) (default), draw horizontal lines given quantiles density estimate. trim TRUE (default), trim tails violins range data. FALSE, trim tails. scale \"area\" (default), violins area (trimming tails). \"count\", areas scaled proportionally number observations. \"width\", violins maximum width. na.rm FALSE, default, missing values removed warning. TRUE, missing values silently removed. show.legend logical. layer included legends? NA, default, includes aesthetics mapped. FALSE never includes, TRUE always includes. can also named logical vector finely select aesthetics display. inherit.aes FALSE, overrides default aesthetics, rather combining . useful helper functions define data aesthetics inherit behaviour default plot specification, e.g. borders().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Split violin geometry for ggplots — geom_split_violin","text":"ggplot2::layer object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Split violin geometry for ggplots — geom_split_violin","text":"implementation based https://stackoverflow.com/questions/35717353/split-violin-plot--ggplot2. Credit goes @jan-jlx providing complete implementation StackOverflow, Trang Q. Nguyen adding nudge parameter.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/geom_split_violin.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split violin geometry for ggplots — geom_split_violin","text":"","code":"data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>% dplyr::mutate(presence = relevel(   factor(     dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")   ),   ref = \"presence\" ))  ggplot(bradypus_tb, aes(   x = \"\",   y = cld6190_ann,   fill = presence )) +   geom_split_violin(nudge = 0.01)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_cellsize.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default grid cellsize for a given dataset — grid_cellsize","title":"Get default grid cellsize for a given dataset — grid_cellsize","text":"function facilitates using spatialsample::spatial_block_cv multiple times analysis. spatialsample::spatial_block_cv creates grid based object data. However, spatial blocks generated multiple times analysis (e.g. spatial_initial_split(), subsequently cross-validation training dataset), might desirable keep grid). applying function largest dataset, usually full dataset spatial_initial_split(). resulting cellsize can used option spatialsample::spatial_block_cv.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_cellsize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default grid cellsize for a given dataset — grid_cellsize","text":"","code":"grid_cellsize(data, n = c(10, 10))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_cellsize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default grid cellsize for a given dataset — grid_cellsize","text":"data sf::sf dataset used size grid n number cells grid, defaults c(10,10), also default sf::st_make_grid()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_cellsize.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default grid cellsize for a given dataset — grid_cellsize","text":"cell size","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_offset.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default grid cellsize for a given dataset — grid_offset","title":"Get default grid cellsize for a given dataset — grid_offset","text":"function facilitates using spatialsample::spatial_block_cv multiple times analysis. spatialsample::spatial_block_cv creates grid based object data. However, spatial blocks generated multiple times analysis (e.g. spatial_initial_split(), subsequently cross-validation training dataset), might desirable keep grid). applying function largest dataset, usually full dataset spatial_initial_split(). resulting cellsize can used option spatialsample::spatial_block_cv.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_offset.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default grid cellsize for a given dataset — grid_offset","text":"","code":"grid_offset(data)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_offset.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default grid cellsize for a given dataset — grid_offset","text":"data sf::sf dataset used size grid","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/grid_offset.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default grid cellsize for a given dataset — grid_offset","text":"grid offset","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/horses.html","id":null,"dir":"Reference","previous_headings":"","what":"Coordinates of radiocarbon dates for horses — horses","title":"Coordinates of radiocarbon dates for horses — horses","text":"Coordinates presences horses 22k 8k YBP.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/horses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coordinates of radiocarbon dates for horses — horses","text":"","code":"horses"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/horses.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Coordinates of radiocarbon dates for horses — horses","text":"tibble 1,297 rows 3 variables: latitude latitudes degrees longitude longitudes degrees time_bp time years present","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":null,"dir":"Reference","previous_headings":"","what":"Maximum Cohen's Kappa — kap_max","title":"Maximum Cohen's Kappa — kap_max","text":"Cohen's Kappa (yardstick::kap()) measure similar yardstick::accuracy(), normalises observed accuracy value expected chance (helps unbalanced cases one class predominant).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Maximum Cohen's Kappa — kap_max","text":"","code":"kap_max(data, ...)  # S3 method for class 'data.frame' kap_max(   data,   truth,   ...,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL )  # S3 method for class 'sf' kap_max(data, ...)  kap_max_vec(   truth,   estimate,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Maximum Cohen's Kappa — kap_max","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimator One \"binary\", \"hand_till\", \"macro\", \"macro_weighted\" specify type averaging done. \"binary\" relevant two class case. others general methods calculating multiclass metrics. default automatically choose \"binary\" truth binary, \"hand_till\" truth >2 levels case_weights specified, \"macro\" truth >2 levels case_weights specified (case \"hand_till\" well-defined). na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\" case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Maximum Cohen's Kappa — kap_max","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Maximum Cohen's Kappa — kap_max","text":"function calibrates probability threshold classify presences maximises kappa. multiclass version function, operates binary predictions (e.g. presences absences SDMs).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Maximum Cohen's Kappa — kap_max","text":"Cohen, J. (1960). \"coefficient agreement nominal scales\". Educational Psychological Measurement. 20 (1): 37-46. Cohen, J. (1968). \"Weighted kappa: Nominal scale agreement provision scaled disagreement partial credit\". Psychological Bulletin. 70 (4): 213-220.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/kap_max.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Maximum Cohen's Kappa — kap_max","text":"","code":"kap_max(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #>   .metric .estimator .estimate #>                 #> 1 kap_max binary         0.725"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a geographic distance from km to m — km2m","title":"Convert a geographic distance from km to m — km2m","text":"function takes distance km converts meters, units generally used geographic operations R. trivial conversion, functions ensures zeroes lost along way!","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a geographic distance from km to m — km2m","text":"","code":"km2m(x)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a geographic distance from km to m — km2m","text":"x number km","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a geographic distance from km to m — km2m","text":"number meters","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/km2m.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a geographic distance from km to m — km2m","text":"","code":"km2m(10000) #> [1] 1e+07 km2m(1) #> [1] 1000"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta.html","id":null,"dir":"Reference","previous_headings":"","what":"Coordinates of presences for Iberian emerald lizard — lacerta","title":"Coordinates of presences for Iberian emerald lizard — lacerta","text":"Coordinates presences Lacerta schreiberi. variables follows:","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coordinates of presences for Iberian emerald lizard — lacerta","text":"","code":"lacerta"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Coordinates of presences for Iberian emerald lizard — lacerta","text":"tibble 1,297 rows 3 variables: ID ids GBIF latitude latitudes degrees longitude longitudes degrees","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"A simple ensemble for the lacerta data — lacerta_ensemble","title":"A simple ensemble for the lacerta data — lacerta_ensemble","text":"Ensemble SDM Lacerta schreiberi, generated vignette.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A simple ensemble for the lacerta data — lacerta_ensemble","text":"","code":"lacerta_ensemble"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_ensemble.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A simple ensemble for the lacerta data — lacerta_ensemble","text":"simple_ensemble object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_rep_ens.html","id":null,"dir":"Reference","previous_headings":"","what":"A repeat ensemble for the lacerta data — lacerta_rep_ens","title":"A repeat ensemble for the lacerta data — lacerta_rep_ens","text":"Ensemble SDM Lacerta schreiberi, generated vignette.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_rep_ens.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A repeat ensemble for the lacerta data — lacerta_rep_ens","text":"","code":"lacerta_rep_ens"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacerta_rep_ens.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A repeat ensemble for the lacerta data — lacerta_rep_ens","text":"repeat_ensemble object","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacertidae_background.html","id":null,"dir":"Reference","previous_headings":"","what":"Coordinates of presences for lacertidae in the Iberian peninsula — lacertidae_background","title":"Coordinates of presences for lacertidae in the Iberian peninsula — lacertidae_background","text":"Coordinates presences lacertidae, used background lacerta dataset.. variables follows:","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacertidae_background.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coordinates of presences for lacertidae in the Iberian peninsula — lacertidae_background","text":"","code":"lacertidae_background"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/lacertidae_background.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Coordinates of presences for lacertidae in the Iberian peninsula — lacertidae_background","text":"tibble 1,297 rows 3 variables: ID ids GBIF latitude latitudes degrees longitude longitudes degrees","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":null,"dir":"Reference","previous_headings":"","what":"Make a mask from presence data — make_mask_from_presence","title":"Make a mask from presence data — make_mask_from_presence","text":"functions uses presence column create mask apply raster define area interest. Two methods available: one uses buffer around presence, one create convex hull around presences (possibility adding buffer around hull).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make a mask from presence data — make_mask_from_presence","text":"","code":"make_mask_from_presence(data, method = \"buffer\", buffer = 0, return_sf = FALSE)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make a mask from presence data — make_mask_from_presence","text":"data sf::sf data frame presences.. method method use create mask. Either 'buffer' 'convex_hull' buffer buffer add around presence (units crs data; lat/lon, buffer meters), around convex hull (method 'convex_hull') return_sf whether return mask sf object (TRUE) terra::SpatVector object (FALSE, default)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make a mask from presence data — make_mask_from_presence","text":"terra::SpatVector sf object (depending value return_sf) mask","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Make a mask from presence data — make_mask_from_presence","text":"use terra::mask() raster, use return_sf = FALSE get terra::SpatVector object can used masking.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/make_mask_from_presence.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make a mask from presence data — make_mask_from_presence","text":"","code":"lacerta_sf <- lacerta %>% sf::st_as_sf(coords = c(\"longitude\", \"latitude\")) %>% sf::st_set_crs(4326) land_mask <- terra::readRDS(system.file(\"extdata/lacerta_land_mask.rds\", package = \"tidysdm\")) mask_buffer <- make_mask_from_presence(lacerta_sf, method = \"buffer\", buffer = 60000) terra::plot(terra::mask(land_mask, mask_buffer))  mask_ch <- make_mask_from_presence(lacerta_sf, method = \"convex_hull\") terra::plot(terra::mask(land_mask, mask_ch))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":null,"dir":"Reference","previous_headings":"","what":"MaxEnt model — maxent","title":"MaxEnt model — maxent","text":"maxent defines MaxEnt model used Species Distribution Models. good guide options MaxEnt model work can found https://onlinelibrary.wiley.com/doi/full/10.1111/j.1600-0587.2013.07872.x","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MaxEnt model — maxent","text":"","code":"maxent(   mode = \"classification\",   engine = \"maxnet\",   feature_classes = NULL,   regularization_multiplier = NULL )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MaxEnt model — maxent","text":"mode single character string type model. possible value model \"classification\". engine single character string specifying computational engine use fitting. Currently \"maxnet\" available. feature_classes character, continuous feature classes desired, either \"default\" subset \"lqpht\" (example, \"lh\") regularization_multiplier numeric, constant adjust regularization","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"MaxEnt model — maxent","text":"parsnip::model_spec maxent model","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"MaxEnt model — maxent","text":"","code":"# \\donttest{ # format the data data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>%   dplyr::mutate(presence = relevel(     factor(       dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")     ),     ref = \"presence\"   )) %>%   select(-ecoreg)  # fit the model, and make some predictions maxent_spec <- maxent(feature_classes = \"lq\") maxent_fitted <- maxent_spec %>%   fit(presence ~ ., data = bradypus_tb) pred_prob <- predict(maxent_fitted, new_data = bradypus[, -1], type = \"prob\") pred_class <- predict(maxent_fitted, new_data = bradypus[, -1], type = \"class\")  # Now with tuning maxent_spec <- maxent(   regularization_multiplier = tune(),   feature_classes = tune() ) set.seed(452) cv <- vfold_cv(bradypus_tb, v = 2) maxent_tune_res <- maxent_spec %>%   tune_grid(presence ~ ., cv, grid = 3) show_best(maxent_tune_res, metric = \"roc_auc\") #> # A tibble: 3 × 8 #>   feature_classes regularization_multip…¹ .metric .estimator  mean     n std_err #>                                               #> 1 l                                  1.02 roc_auc binary     0.857     2  0.0143 #> 2 lqph                               1.90 roc_auc binary     0.856     2  0.0121 #> 3 lqph                               2.50 roc_auc binary     0.854     2  0.0123 #> # ℹ abbreviated name: ¹​regularization_multiplier #> # ℹ 1 more variable: .config  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Parameters for maxent models — maxent_params","title":"Parameters for maxent models — maxent_params","text":"parameters auxiliary MaxEnt models using \"maxnet\" engine. functions used tuning functions, user rarely access directly.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Parameters for maxent models — maxent_params","text":"","code":"regularization_multiplier(range = c(0.5, 3), trans = NULL)  feature_classes(values = c(\"l\", \"lq\", \"lqp\", \"lqph\", \"lqpht\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Parameters for maxent models — maxent_params","text":"range two-element vector holding defaults smallest largest possible values, respectively. transformation specified, values transformed units. trans trans object scales package, scales::log10_trans() scales::reciprocal_trans(). provided, default used matches units used range. transformation, NULL. values feature_classes(), character string subset \"lqpht\" (example, \"lh\")","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Parameters for maxent models — maxent_params","text":"param object can used tuning.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxent_params.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Parameters for maxent models — maxent_params","text":"","code":"regularization_multiplier() #> Reg. multiplier (quantitative) #> Range: [0.5, 3] feature_classes() #> Feature classes  (qualitative) #> 5 possible values include: #> 'l', 'lq', 'lqp', 'lqph' and 'lqpht'"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper to fit maxnet models with formulae — maxnet_fit","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"function wrapper around maxnet::maxnet, takes formula data well exposing parameters normalisation manner compatible parsnip. Users unlikely use function directly.  parsnip model specification MaxEnt, see maxent().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"","code":"maxnet_fit(   formula,   data,   regmult = 1,   classes = \"default\",   regfun = maxnet::maxnet.default.regularization,   addsamplestobackground = TRUE,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"formula formula defining outcome predictors data data.frame outcomes predictors regmult numeric, constant adjust regularization classes character, continuous feature classes desired, either \"default\" subset \"lqpht\" (example, \"lh\") regfun function, computes regularization constant feature addsamplestobackground logical, TRUE add background presence sample already ... currently used.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"Maxnet returns object class maxnet, list consisting glmnet model following elements added: betas nonzero coefficients fitted model alpha constant offset making exponential model sum one background data entropy entropy exponential model penalty.factor regularization constants used feature featuremins minimum feature, used clamping featuremaxs maximum feature, used clamping varmin minimum predictor, used clamping varmax maximum predictor, used clamping samplemeans mean predictor samples (majority factors) levels levels predictor factor","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"response needs factor class representing presences reference level factor (expected classification models). good guide options Maxent model work can found https://onlinelibrary.wiley.com/doi/full/10.1111/j.1600-0587.2013.07872.x","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_fit.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Wrapper to fit maxnet models with formulae — maxnet_fit","text":"","code":"# \\donttest{ # we repeat the example in the `maxnet` package data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>%   dplyr::mutate(presence = relevel(     factor(       dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")     ),     ref = \"presence\"   )) mod <- maxnet_fit(presence ~ ., data = bradypus_tb, classes = \"lq\") plot(mod, \"tmp6190_ann\")  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_predict.html","id":null,"dir":"Reference","previous_headings":"","what":"Wrapper to predict maxnet models — maxnet_predict","title":"Wrapper to predict maxnet models — maxnet_predict","text":"function wrapper around predict method maxnet::maxnet, making function compatible parsnip. Users unlikely use function directly.  parsnip model specification MaxEnt, see maxent().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_predict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wrapper to predict maxnet models — maxnet_predict","text":"","code":"maxnet_predict(   object,   newdata,   type = c(\"class\", \"prob\"),   maxnet_type = c(\"cloglog\", \"link\", \"exponential\", \"logistic\"),   clamp = TRUE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_predict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wrapper to predict maxnet models — maxnet_predict","text":"object maxnet::maxnet object newdata dataframe new data type either \"prob\" \"class\" maxnet_type transformation used prediction clamp logical, defining whether clamping observed ranges used","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/maxnet_predict.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wrapper to predict maxnet models — maxnet_predict","text":"tibble predictions","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute overlap metrics of the two niches — niche_overlap","title":"Compute overlap metrics of the two niches — niche_overlap","text":"function computes overlap metrics two rasters. currently implements Schoener's D inverse Hellinger's distance.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute overlap metrics of the two niches — niche_overlap","text":"","code":"niche_overlap(x, y, method = c(\"Schoener\", \"Hellinger\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute overlap metrics of the two niches — niche_overlap","text":"x terra::SpatRaster single layer y terra::SpatRaster single layer method string (vector strings) taking values \"Schoener\" \"Hellinger\"","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute overlap metrics of the two niches — niche_overlap","text":"list overlap metrics, slots D (depending method)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute overlap metrics of the two niches — niche_overlap","text":"Note Hellinger's distance normalised dividing square root 2 (correct asymptote Hellinger's D), rather incorrect 2 used originally Warren et al (2008), based Erratum paper.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/niche_overlap.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute overlap metrics of the two niches — niche_overlap","text":"Warren, D.L., Glor, R.E. & Turelli M. (2008) Environmental niche equivalency versus conservativism: quantitative approaches niche evolution. Evolution 62: 2868-2883","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":null,"dir":"Reference","previous_headings":"","what":"Find threshold that optimises a given metric — optim_thresh","title":"Find threshold that optimises a given metric — optim_thresh","text":"function returns threshold turn probabilities binary classes whilst optimising given metric. Currently available tss_max, kap_max sensitivity (target sensitivity required).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find threshold that optimises a given metric — optim_thresh","text":"","code":"optim_thresh(truth, estimate, metric, event_level = \"first\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find threshold that optimises a given metric — optim_thresh","text":"truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate predicted probability event metric character metric optimised. Currently \"tss_max\", \"kap_max\", \"sensitivity\" given target (e.g. c(\"sensitivity\",0.8)) event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\"","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find threshold that optimises a given metric — optim_thresh","text":"probability threshold event","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find threshold that optimises a given metric — optim_thresh","text":"","code":"optim_thresh(two_class_example$truth, two_class_example$Class1, metric = c(\"tss_max\")) #> [1] 0.7544818 optim_thresh(two_class_example$truth, two_class_example$Class1, metric = c(\"sens\", 0.9)) #> [1] 0.3710924"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_kap_max.html","id":null,"dir":"Reference","previous_headings":"","what":"Find threshold that maximises Kappa — optim_thresh_kap_max","title":"Find threshold that maximises Kappa — optim_thresh_kap_max","text":"internal function returns threshold turn probabilities binary classes maximise kappa","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_kap_max.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find threshold that maximises Kappa — optim_thresh_kap_max","text":"","code":"optim_thresh_kap_max(presences, absences)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_kap_max.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find threshold that maximises Kappa — optim_thresh_kap_max","text":"presences Probabilities presences. absences Provabilities absences","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_kap_max.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find threshold that maximises Kappa — optim_thresh_kap_max","text":"probability threshold event","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_sens.html","id":null,"dir":"Reference","previous_headings":"","what":"Find threshold that gives a target sensitivity — optim_thresh_sens","title":"Find threshold that gives a target sensitivity — optim_thresh_sens","text":"internal function returns threshold turn probabilities binary classes given target sensitivity","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_sens.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find threshold that gives a target sensitivity — optim_thresh_sens","text":"","code":"optim_thresh_sens(presences, absences, sens_target)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_sens.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find threshold that gives a target sensitivity — optim_thresh_sens","text":"presences Probabilities presences. absences Provabilities absences sens_target target sensitivity","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_sens.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find threshold that gives a target sensitivity — optim_thresh_sens","text":"probability threshold event","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_tss_max.html","id":null,"dir":"Reference","previous_headings":"","what":"Find threshold that maximises TSS — optim_thresh_tss_max","title":"Find threshold that maximises TSS — optim_thresh_tss_max","text":"internal function returns threshold turn probabilities binary classes maximise TSS","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_tss_max.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find threshold that maximises TSS — optim_thresh_tss_max","text":"","code":"optim_thresh_tss_max(presences, absences)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_tss_max.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find threshold that maximises TSS — optim_thresh_tss_max","text":"presences Probabilities presences. absences Provabilities absences","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/optim_thresh_tss_max.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find threshold that maximises TSS — optim_thresh_tss_max","text":"probability threshold event","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/out_of_range_warning.html","id":null,"dir":"Reference","previous_headings":"","what":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","title":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","text":"function helps making sure , assign times time_step layers raster, values badly range","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/out_of_range_warning.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","text":"","code":"out_of_range_warning(times, time_steps)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/out_of_range_warning.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","text":"times times locations time_steps time steps raster","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/out_of_range_warning.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Warn if some times are outside the range of time steps from a raster — out_of_range_warning","text":"NULL return","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pairs-stars-method.html","id":null,"dir":"Reference","previous_headings":"","what":"This is a wrapper around graphics::pairs() that accepts stars objects. It is adapted from a similar function in the terra package. — pairs,stars-method","title":"This is a wrapper around graphics::pairs() that accepts stars objects. It is adapted from a similar function in the terra package. — pairs,stars-method","text":"wrapper around graphics::pairs() accepts stars objects. adapted similar function terra package.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pairs-stars-method.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"This is a wrapper around graphics::pairs() that accepts stars objects. It is adapted from a similar function in the terra package. — pairs,stars-method","text":"","code":"# S4 method for class 'stars' pairs(   x,   hist = TRUE,   cor = TRUE,   use = \"pairwise.complete.obs\",   maxcells = 1e+05,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pairs-stars-method.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"This is a wrapper around graphics::pairs() that accepts stars objects. It is adapted from a similar function in the terra package. — pairs,stars-method","text":"x SpatRaster hist logical. TRUE histogram values shown diagonal cor logical. TRUE correlation coefficient shown upper panels use argument passed cor function maxcells integer. Number pixels sample layer large SpatRaster ... additional arguments (graphical parameters)","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pipe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pipe operator — %>%","text":"lhs value magrittr placeholder. rhs function call using magrittr semantics.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"result calling rhs(lhs).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot presences vs background — plot_pres_vs_bg","title":"Plot presences vs background — plot_pres_vs_bg","text":"Create composite plots contrasting distribution multiple variables presences vs background.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot presences vs background — plot_pres_vs_bg","text":"","code":"plot_pres_vs_bg(.data, .col)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot presences vs background — plot_pres_vs_bg","text":".data data.frame (derived object, tibble::tibble, sf::st_sf) values bioclimate variables presences background .col column containing presences; assumes presences first level factor","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot presences vs background — plot_pres_vs_bg","text":"patchwork composite plot","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/plot_pres_vs_bg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot presences vs background — plot_pres_vs_bg","text":"","code":"# \\donttest{ data(\"bradypus\", package = \"maxnet\") bradypus_tb <- tibble::as_tibble(bradypus) %>%   dplyr::mutate(presence = relevel(     factor(       dplyr::case_match(presence, 1 ~ \"presence\", 0 ~ \"absence\")     ),     ref = \"presence\"   )) %>%   select(-ecoreg)  bradypus_tb %>% plot_pres_vs_bg(presence)  # }"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.repeat_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict for a repeat ensemble set — predict.repeat_ensemble","title":"Predict for a repeat ensemble set — predict.repeat_ensemble","text":"Predict new dataset using repeat ensemble. Predictions individual models combined according fun","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.repeat_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict for a repeat ensemble set — predict.repeat_ensemble","text":"","code":"# S3 method for class 'repeat_ensemble' predict(   object,   new_data,   type = \"prob\",   fun = \"mean\",   metric_thresh = NULL,   class_thresh = NULL,   members = FALSE,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.repeat_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict for a repeat ensemble set — predict.repeat_ensemble","text":"object repeat_ensemble object new_data data frame look variables predict. type type prediction, \"prob\" \"class\". fun string defining aggregating function. can take values mean, median, weighted_mean, weighted_median none. possible combine multiple functions, except \"none\". set \"none\", individual member predictions returned (automatically sets member TRUE) metric_thresh vector length 2 giving metric threshold, used prune models ensemble used prediction. 'metrics' need computed workflow tuned. Examples c(\"accuracy\",0.8) c(\"boyce_cont\",0.7) class_thresh probability threshold used convert probabilities classes. can number (0 1), character metric (currently \"tss_max\" \"sensitivity\"). sensitivity, additional target value passed along second element vector, e.g. c(\"sensitivity\",0.8). members boolean defining whether individual predictions member added ensemble prediction. columns individual members name workflow prefix, separated \".\" usual column names predictions. ... used method.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.repeat_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Predict for a repeat ensemble set — predict.repeat_ensemble","text":"tibble predictions","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.simple_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict for a simple ensemble set — predict.simple_ensemble","title":"Predict for a simple ensemble set — predict.simple_ensemble","text":"Predict new dataset using simple ensemble. Predictions individual models (.e. workflows) combined according fun","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.simple_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict for a simple ensemble set — predict.simple_ensemble","text":"","code":"# S3 method for class 'simple_ensemble' predict(   object,   new_data,   type = \"prob\",   fun = \"mean\",   metric_thresh = NULL,   class_thresh = NULL,   members = FALSE,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.simple_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict for a simple ensemble set — predict.simple_ensemble","text":"object simple_ensemble object new_data data frame look variables predict. type type prediction, \"prob\" \"class\". fun string defining aggregating function. can take values mean, median, weighted_mean, weighted_median none. possible combine multiple functions, except \"none\". set \"none\", individual member predictions returned (automatically sets member TRUE) metric_thresh vector length 2 giving metric threshold, used prune models ensemble used prediction. 'metrics' need computed workflow tuned. Examples c(\"accuracy\",0.8) c(\"boyce_cont\",0.7) class_thresh probability threshold used convert probabilities classes. can number (0 1), character metric (currently \"tss_max\" \"sensitivity\"). sensitivity, additional target value passed along second element vector, e.g. c(\"sensitivity\",0.8). members boolean defining whether individual predictions member added ensemble prediction. columns individual members name workflow prefix, separated \".\" usual column names predictions. ... used method.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict.simple_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Predict for a simple ensemble set — predict.simple_ensemble","text":"tibble predictions","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict_raster.html","id":null,"dir":"Reference","previous_headings":"","what":"Make predictions for a whole raster — predict_raster","title":"Make predictions for a whole raster — predict_raster","text":"function allows use raster data make predictions variety tidymodels objects, simple_ensemble stacks::stacks","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict_raster.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make predictions for a whole raster — predict_raster","text":"","code":"predict_raster(object, raster, ...)  # Default S3 method predict_raster(object, raster, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict_raster.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make predictions for a whole raster — predict_raster","text":"object tidymodels object interest raster terra::SpatRaster stars input data. include levels names variables used object ... parameters passed standard predict() function appropriate object type (e.g. metric_thresh class_thresh).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/predict_raster.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make predictions for a whole raster — predict_raster","text":"terra::SpatRaster (stars input) predictions","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":null,"dir":"Reference","previous_headings":"","what":"Probability metrics for sf objects — prob_metrics_sf","title":"Probability metrics for sf objects — prob_metrics_sf","text":"tidysdm provides specialised metrics SDMs, help pages(boyce_cont(), kap_max(), tss_max()). Additionally, also provides methods handle sf::sf objects following standard yardstick metrics: yardstick::average_precision() yardstick::brier_class() yardstick::classification_cost() yardstick::gain_capture() yardstick::mn_log_loss() yardstick::pr_auc() yardstick::roc_auc() yardstick::roc_aunp() yardstick::roc_aunu()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Probability metrics for sf objects — prob_metrics_sf","text":"","code":"# S3 method for class 'sf' average_precision(data, ...)  # S3 method for class 'sf' brier_class(data, ...)  # S3 method for class 'sf' classification_cost(data, ...)  # S3 method for class 'sf' gain_capture(data, ...)  # S3 method for class 'sf' mn_log_loss(data, ...)  # S3 method for class 'sf' pr_auc(data, ...)  # S3 method for class 'sf' roc_auc(data, ...)  # S3 method for class 'sf' roc_aunp(data, ...)  # S3 method for class 'sf' roc_aunu(data, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Probability metrics for sf objects — prob_metrics_sf","text":"data sf::sf object ... parameters pass data.frame version metric. See specific man page metric interest.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Probability metrics for sf objects — prob_metrics_sf","text":"tibble columns .metric, .estimator, .estimate 1 row values.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_metrics_sf.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Probability metrics for sf objects — prob_metrics_sf","text":"Note roc_aunp roc_aunu multiclass metrics, relevant SDMs (work binary response). included completeness, class probability metrics yardstick sf method, applications SDMs.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_to_binary.html","id":null,"dir":"Reference","previous_headings":"","what":"simple function to convert probability to binary classes — prob_to_binary","title":"simple function to convert probability to binary classes — prob_to_binary","text":"simple function convert probability binary classes","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_to_binary.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"simple function to convert probability to binary classes — prob_to_binary","text":"","code":"prob_to_binary(x, thresh, class_levels)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_to_binary.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"simple function to convert probability to binary classes — prob_to_binary","text":"x vector probabilities thresh threshold convert binary class_levels binary levels","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/prob_to_binary.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"simple function to convert probability to binary classes — prob_to_binary","text":"vector binary values","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":null,"dir":"Reference","previous_headings":"","what":"Recipe for sf objects — recipe.sf","title":"Recipe for sf objects — recipe.sf","text":"method recipes::recipe() handles case x sf::sf object, commonly used Species Distribution Model, generates spatial_recipe.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Recipe for sf objects — recipe.sf","text":"","code":"# S3 method for class 'sf' recipe(x, ...)  spatial_recipe(x, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Recipe for sf objects — recipe.sf","text":"x sf::sf data frame. ... parameters passed recipes::recipe()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Recipe for sf objects — recipe.sf","text":"object class spatial_recipe, derived version recipes::recipe() , see manpage recipes::recipe() details.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/recipe.sf.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Recipe for sf objects — recipe.sf","text":"recipes::recipe() natively compatible sf::sf objects. problem geometry column sf::sf objects list, incompatible translation formulae recipes::recipe(). method strips geometry column data.frame replaces simple X Y columns operations, thus allowing usual processing recipes::recipe() succeed (X Y give role coords spatial recipe). prepping baking spatial_recipe, data.frame tibble without coordinates used training new_data, dummy X Y columns generated filled NAs. NOTE order matters! need use syntax recipe(x=sf_obj, formula=class~.) method successfully detect sf::sf object. Starting formula fail.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/repeat_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Repeat ensemble — repeat_ensemble","title":"Repeat ensemble — repeat_ensemble","text":"ensemble based multiple sets pseudoabsences/background. object collection (list) simple_ensemble objects predictions combined simple way (e.g. taking either mean median). simple_ensemble contains best version given model type following turning; simple ensembles need metric estimated cv process.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/repeat_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Repeat ensemble — repeat_ensemble","text":"","code":"repeat_ensemble(...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/repeat_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Repeat ensemble — repeat_ensemble","text":"... used, function just creates empty repeat_ensemble object. Members added add_best_candidates()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/repeat_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Repeat ensemble — repeat_ensemble","text":"empty repeat_ensemble","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample background points for SDM analysis — sample_background","title":"Sample background points for SDM analysis — sample_background","text":"function samples background points raster given set presences. locations returned center points sampled cells, can overlap presences (contrast pseudo-absences, see sample_pseudoabs). following methods implemented: 'random': background randomly sampled region covered raster (.e. NAs). 'dist_max': background randomly sampled unioned buffers 'dist_max' presences (distances 'm' lonlat rasters, map units projected rasters). Using union buffers means areas multiple buffers oversampled. also referred \"thickening\". 'bias': background points sampled according surface representing biased sampling effort.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample background points for SDM analysis — sample_background","text":"","code":"sample_background(   data,   raster,   n,   coords = NULL,   method = \"random\",   class_label = \"background\",   return_pres = TRUE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample background points for SDM analysis — sample_background","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster stars cells sampled (first layer used determine cells NAs, thus can sampled). sampling \"bias\", sampling probability proportional values first layer (.e. band) raster. n number background points sample. coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\"). method sampling method. One 'random', 'dist_max', 'bias'. dist_max, maximum distance set additional element vector, e.g c('dist_max',70000). class_label label given sampled points. Defaults background return_pres return presences together background single tibble.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample background points for SDM analysis — sample_background","text":"object class tibble::tibble. presences returned, presence level set reference (match expectations yardstick package considers first level event).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sample background points for SDM analysis — sample_background","text":"Note units distance depend projection raster.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample background points for SDM analysis for points with a time point. — sample_background_time","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"function samples background points raster given set presences. locations returned center points sampled cells, can overlap presences (contrast pseudo-absences, see sample_pseudoabs_time). following methods implemented: 'random': background points randomly sampled region covered raster (.e. NAs). 'dist_max': background points randomly sampled unioned buffers 'dist_max' presences (distances 'm' lonlat rasters, map units projected rasters). Using union buffers means areas multiple buffers oversampled. also referred \"thickening\". 'bias': background points sampled according surface representing biased sampling effort. Note surface time step normalised sum 1;use n_per_time_step affect sampling effort within time step.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"","code":"sample_background_time(   data,   raster,   n_per_time_step,   coords = NULL,   time_col = \"time\",   lubridate_fun = c,   method = \"random\",   class_label = \"background\",   return_pres = TRUE,   time_buffer = 0 )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster, stars terra::SpatRasterDataset cells sampled. terra::SpatRasterDataset, first dataset used define cells valid, NAs. n_per_time_step number background points sample time step (.e. vector length equal number time steps raster) coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") time_col name column time; time lubridate object, use lubridate_fun provide function can used convert appropriately lubridate_fun function convert time column lubridate object method sampling method. One 'random', 'dist_max', 'bias'. class_label label given sampled points. Defaults background return_pres return presences together background single tibble time_buffer buffer time axis around presences defines effect sampling background method 'max_dist'. set zero, presences effect time step assigned raster; positive value, defines number days date provided time column presence considered (e.g. 20 days means presence considered time steps equivalent plus minus twenty days date).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"object class tibble::tibble. presences returned, presence level set reference (match expectations yardstick package considers first level event)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_background_time.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sample background points for SDM analysis for points with a time point. — sample_background_time","text":"Note time axis raster POSIXct Date format, use `tstep=\"years\"'. See terra::time() details set time axis.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","title":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","text":"function samples pseudo-absence points raster given set presences. locations returned center points sampled cells, can overlap presences (contrast background points, see sample_background). following methods implemented: 'random': pseudo-absences randomly sampled region covered raster (.e. NAs). 'dist_min': pseudo-absences randomly sampled region excluding buffer 'dist_min' presences (distances 'm' lonlat rasters, map units projected rasters). 'dist_max': pseudo-absences randomly sampled unioned buffers 'dist_max' presences (distances 'm' lonlat rasters, map units projected rasters). Using union buffers means areas multiple buffers oversampled. also referred \"thickening\". 'dist_disc': pseudo-absences randomly sampled unioned discs around presences two values 'dist_disc' defining minimum maximum distance presences.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","text":"","code":"sample_pseudoabs(   data,   raster,   n,   coords = NULL,   method = \"random\",   class_label = \"pseudoabs\",   return_pres = TRUE )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster stars cells sampled n number pseudoabsence points sample coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") method sampling method. One 'random', 'dist_min', 'dist_max', 'dist_disc'. Threshold distances set additional elements vector, e.g c('dist_min',70000) c('dist_disc',50000,200000). class_label label given sampled points. Defaults pseudoabs return_pres return presences together pseudoabsences single tibble","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample pseudo-absence points for SDM analysis — sample_pseudoabs","text":"object class tibble::tibble. presences returned, presence level set reference (match expectations yardstick package considers first level event)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":null,"dir":"Reference","previous_headings":"","what":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"function samples pseudo-absence points raster given set presences. locations returned center points sampled cells, can overlap presences (contrast background points, see sample_background_time). following methods implemented: 'random': pseudo-absences randomly sampled region covered raster (.e. NAs). 'dist_min': pseudo-absences randomly sampled region excluding buffer 'dist_min' presences (distances 'm' lonlat rasters, map units projected rasters). 'dist_max': pseudo-absences randomly sampled unioned buffers 'dist_max' presences (distances 'm' lonlat rasters, map units projected rasters). Using union buffers means areas multiple buffers oversampled. also referred \"thickening\". 'dist_disc': pseudo-absences randomly sampled unioned discs around presences two values 'dist_disc' defining minimum maximum distance presences.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"","code":"sample_pseudoabs_time(   data,   raster,   n_per_presence,   coords = NULL,   time_col = \"time\",   lubridate_fun = c,   method = \"random\",   class_label = \"pseudoabs\",   return_pres = TRUE,   time_buffer = 0 )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster, stars terra::SpatRasterDataset cells sampled. terra::SpatRasterDataset, first dataset used define cells valid, NAs. n_per_presence number pseudoabsence points sample presence coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") time_col name column time; time lubridate object, use lubridate_fun provide function can used convert appropriately lubridate_fun function convert time column lubridate object method sampling method. One 'random', 'dist_min', 'dist_max', 'dist_disc'. class_label label given sampled points. Defaults pseudoabs return_pres return presences together pseudoabsences single tibble time_buffer buffer time axis around presences defines effect sampling pseudoabsences. set zero, presences effect time step assigned raster; positive value, defines number days date provided time column presence considered (e.g. 20 days means presence considered time steps equivalent plus minus twenty days date).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"object class tibble::tibble. presences returned, presence level set reference (match expectations yardstick package considers first level event)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sample_pseudoabs_time.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sample pseudo-absence points for SDM analysis for points with a time point. — sample_pseudoabs_time","text":"#' @details Note time axis raster POSIXct Date format, use `tstep=\"years\"'. See terra::time() details set time axis.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":null,"dir":"Reference","previous_headings":"","what":"Metric set for SDM — sdm_metric_set","title":"Metric set for SDM — sdm_metric_set","text":"function returns yardstick::metric_set includes boyce_cont(), yardstick::roc_auc() tss_max(), commonly used metrics SDM.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Metric set for SDM — sdm_metric_set","text":"","code":"sdm_metric_set(...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Metric set for SDM — sdm_metric_set","text":"... additional metrics added yardstick::metric_set. See help yardstick::metric_set() constraints type metrics can mixed.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Metric set for SDM — sdm_metric_set","text":"yardstick::metric_set object.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_metric_set.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Metric set for SDM — sdm_metric_set","text":"","code":"sdm_metric_set() #> A metric set, consisting of: #> - `boyce_cont()`, a probability metric | direction: maximize #> - `roc_auc()`, a probability metric    | direction: maximize #> - `tss_max()`, a probability metric    | direction: maximize sdm_metric_set(accuracy) #> A metric set, consisting of: #> - `boyce_cont()`, a probability metric | direction: maximize #> - `roc_auc()`, a probability metric    | direction: maximize #> - `tss_max()`, a probability metric    | direction: maximize #> - `accuracy()`, a class metric         | direction: maximize"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"function returns parsnip::model_spec Boosted Trees model used classifier presences absences Species Distribution Model. uses library xgboost fit boosted trees; use another library, simply build parsnip::model_spec directly.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"","code":"sdm_spec_boost_tree(..., tune = c(\"sdm\", \"all\", \"custom\", \"none\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"... parameters passed parsnip::boost_tree() customise model. See help function details. tune character defining tuning strategy. Valid strategies : \"sdm\" chooses hyperparameters important tune sdm (boost_tree: 'mtry', 'trees', 'tree_depth', 'learn_rate', 'loss_reduction', 'stop_iter') \"\" tunes hyperparameters (boost_tree: 'mtry', 'trees', 'tree_depth', 'learn_rate', 'loss_reduction', 'stop_iter','min_n' 'sample_size') \"custom\" passes options '...' \"none\" tune hyperparameter","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"parsnip::model_spec model.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_boost_tree.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a Boosted Trees model for SDM — sdm_spec_boost_tree","text":"","code":"standard_bt_spec <- sdm_spec_boost_tree() full_bt_spec <- sdm_spec_boost_tree(tune = \"all\") custom_bt_spec <- sdm_spec_boost_tree(tune = \"custom\", mtry = tune())"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a GAM for SDM — sdm_spec_gam","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"function returns parsnip::model_spec General Additive Model used classifier presences absences Species Distribution Model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"","code":"sdm_spec_gam(..., tune = \"none\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"... parameters passed parsnip::gen_additive_mod() customise model. See help function details. tune character defining tuning strategy. hyperparameters tune gam, valid option \"none\". parameter present consistency sdm_spec_* functions, nothing case.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"parsnip::model_spec model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"Note , using GAMs workflow_set(), necessary update model gam_formula() (see parsnip::model_formula discussion formulas special terms tidymodels):","code":"workflow_set(   preproc = list(default = my_recipe),   models = list(gam = sdm_spec_gam()),   cross = TRUE ) %>% update_workflow_model(\"default_gam\",                             spec = sdm_spec_gam(),                             formula = gam_formula(my_recipe))"},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_gam.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a GAM for SDM — sdm_spec_gam","text":"","code":"my_gam_spec <- sdm_spec_gam()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a GLM for SDM — sdm_spec_glm","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"function returns parsnip::model_spec Generalised Linear Model used classifier presences absences Species Distribution Model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"","code":"sdm_spec_glm(..., tune = \"none\")"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"... parameters passed parsnip::logistic_reg() customise model. See help function details. tune character defining tuning strategy. hyperparameters tune glm, valid option \"none\". parameter present consistency sdm_spec_* functions, nothing case.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"parsnip::model_spec model.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_glm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a GLM for SDM — sdm_spec_glm","text":"","code":"my_spec_glm <- sdm_spec_glm()"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"function returns parsnip::model_spec MaxEnt model used Species Distribution Models.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"","code":"sdm_spec_maxent(..., tune = c(\"sdm\", \"all\", \"custom\", \"none\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"... parameters passed maxent() customise model. See help function details. tune character defining tuning strategy. Valid strategies : \"sdm\" chooses hyper-parameters important tune sdm (maxent, 'mtry') \"\" tunes hyperparameters (maxent, 'mtry', 'trees' 'min') \"custom\" passes options '...' \"none\" tune hyperparameter","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"parsnip::model_spec model.","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_maxent.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a MaxEnt for SDM — sdm_spec_maxent","text":"","code":"test_maxent_spec <- sdm_spec_maxent(tune = \"sdm\") test_maxent_spec #> maxent Model Specification (classification) #>  #> Main Arguments: #>   feature_classes = tune() #>   regularization_multiplier = tune() #>  #> Computational engine: maxnet  #>  # setting specific values sdm_spec_maxent(tune = \"custom\", feature_classes = \"lq\") #> maxent Model Specification (classification) #>  #> Main Arguments: #>   feature_classes = lq #>  #> Computational engine: maxnet  #>"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":null,"dir":"Reference","previous_headings":"","what":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"function returns parsnip::model_spec Random Forest used classifier presences absences Species Distribution Models. uses library ranger fit boosted trees; use another library, simply build parsnip::model_spec directly.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"","code":"sdm_spec_rand_forest(..., tune = c(\"sdm\", \"all\", \"custom\", \"none\"))  sdm_spec_rf(..., tune = c(\"sdm\", \"all\", \"custom\", \"none\"))"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"... parameters passed parsnip::rand_forest() customise model. See help function details. tune character defining tuning strategy. Valid strategies : \"sdm\" chooses hyperparameters important tune sdm (rf, 'mtry') \"\" tunes hyperparameters (rf, 'mtry', 'trees' 'min') \"custom\" passes options '...' \"none\" tune hyperparameter","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"parsnip::model_spec model.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"sdm_spec_rf() simply short form sm_spec_rand_forest().","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/sdm_spec_rand_forest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Model specification for a Random Forest for SDM — sdm_spec_rand_forest","text":"","code":"test_rf_spec <- sdm_spec_rf(tune = \"sdm\") test_rf_spec #> Random Forest Model Specification (classification) #>  #> Main Arguments: #>   mtry = tune() #>  #> Computational engine: ranger  #>  # combining tuning with specific values for other hyperparameters sdm_spec_rf(tune = \"sdm\", trees = 100) #> Random Forest Model Specification (classification) #>  #> Main Arguments: #>   mtry = tune() #>   trees = 100 #>  #> Computational engine: ranger  #>"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/simple_ensemble.html","id":null,"dir":"Reference","previous_headings":"","what":"Simple ensemble — simple_ensemble","title":"Simple ensemble — simple_ensemble","text":"simple ensemble collection workflows predictions combined simple way (e.g. taking either mean median). Usually workflows consists best version given model algorithm following tuning. workflows fitted full training dataset making predictions.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/simple_ensemble.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simple ensemble — simple_ensemble","text":"","code":"simple_ensemble(...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/simple_ensemble.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simple ensemble — simple_ensemble","text":"... used, function just creates empty simple_ensemble object. Members added add_best_candidates()","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/simple_ensemble.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simple ensemble — simple_ensemble","text":"empty simple_ensemble. tibble columns: wflow_id: name workflows best model chosen workflow: trained workflow objects metrics: metrics based crossvalidation resampling used tune models","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":null,"dir":"Reference","previous_headings":"","what":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"spatial_initial_split creates single binary split data training set testing set. strategies package spatialsample available; random split strategy used generate initial split.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"","code":"spatial_initial_split(data, prop, strategy, ...)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"data dataset (data.frame tibble) prop proportion data retained modelling/analysis. strategy sampling strategy spatialsample ... parameters passed strategy","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"rsplit object can used rsample::training rsample::testing functions extract data split.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/spatial_initial_split.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simple Training/Test Set Splitting for spatial data — spatial_initial_split","text":"","code":"set.seed(123) block_initial <- spatial_initial_split(boston_canopy, prop = 1 / 5, spatial_block_cv) testing(block_initial) #> Simple feature collection with 153 features and 18 fields #> Geometry type: MULTIPOLYGON #> Dimension:     XY #> Bounding box:  xmin: 745098 ymin: 2915630 xmax: 805045.8 ymax: 2969840 #> Projected CRS: NAD83 / Massachusetts Mainland (ftUS) #> # A tibble: 153 × 19 #>    grid_id land_area canopy_gain canopy_loss canopy_no_change canopy_area_2014 #>                                                  #>  1 M-9      2690727.      52443.      53467.          304239.          357706. #>  2 Q-21     2690727.      54712.     101816.         1359305.         1461121. #>  3 AB-23     725043.      13737.      13278.           52628.           65906. #>  4 AC-15    1175032.      24517.      24010.          111148.          135158. #>  5 U-25     2691491.      83740.     117496.          601040.          718536. #>  6 Y-13     2691490.      79215.      41676.          312299.          353975. #>  7 M-10     2578879.      27026.      41240.          161115.          202355. #>  8 T-22     2691490.      80929.     140490.          573628.          714118. #>  9 AO-16    1717547.      64863.      52390.          465563.          517953. #> 10 X-23     2690728.      85198.     109044.          458205.          567249. #> # ℹ 143 more rows #> # ℹ 13 more variables: canopy_area_2019 , change_canopy_area , #> #   change_canopy_percentage , canopy_percentage_2014 , #> #   canopy_percentage_2019 , change_canopy_absolute , #> #   mean_temp_morning , mean_temp_evening , mean_temp , #> #   mean_heat_index_morning , mean_heat_index_evening , #> #   mean_heat_index , geometry  training(block_initial) #> Simple feature collection with 529 features and 18 fields #> Geometry type: MULTIPOLYGON #> Dimension:     XY #> Bounding box:  xmin: 739826.9 ymin: 2908294 xmax: 812069.7 ymax: 2970073 #> Projected CRS: NAD83 / Massachusetts Mainland (ftUS) #> # A tibble: 529 × 19 #>    grid_id land_area canopy_gain canopy_loss canopy_no_change canopy_area_2014 #>                                                  #>  1 AB-4      795045.      15323.       3126.           53676.           56802. #>  2 I-33      265813.       8849.      11795.           78677.           90472. #>  3 AO-9      270153        6187.       1184.           26930.           28114. #>  4 H-10     2691490.      73098.      80362.          345823.          426185. #>  5 V-7       107890.        219.       3612.             240.            3852. #>  6 Q-22     2648089.     122211.     154236.         1026632.         1180868. #>  7 X-4       848558.       8275.       1760.            6872.            8632. #>  8 P-18     2690726.     110928.     113146.          915137.         1028283. #>  9 J-29     2574479.      38069.      15530.         2388638.         2404168. #> 10 G-28     2641525.      87024.      39246.         1202528.         1241774. #> # ℹ 519 more rows #> # ℹ 13 more variables: canopy_area_2019 , change_canopy_area , #> #   change_canopy_percentage , canopy_percentage_2014 , #> #   canopy_percentage_2019 , change_canopy_absolute , #> #   mean_temp_morning , mean_temp_evening , mean_temp , #> #   mean_heat_index_morning , mean_heat_index_evening , #> #   mean_heat_index , geometry "},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":null,"dir":"Reference","previous_headings":"","what":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"function thins dataset one observation per cell retained.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"","code":"thin_by_cell(data, raster, coords = NULL, drop_na = TRUE, agg_fact = NULL)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster stars object defined grid coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") drop_na boolean whether locations NA raster dropped. agg_fact positive integer. Aggregation factor expressed number cells direction (horizontally vertically). two integers (horizontal vertical aggregation factor) three integers (also aggregating layers). Defaults NULL, implies aggregation (.e. thinning done grid raster)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"object class sf::sf data.frame, \"data\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Thin point dataset to have 1 observation per raster cell — thin_by_cell","text":"thinning can achieved aggregating cells raster thinning, achieved setting agg_fact > 1 (aggregation works manner equivalent terra::aggregate()). Note data sf object, function transform coordinates projection raster (recommended); data data.frame, user ensure coordinates correct units.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":null,"dir":"Reference","previous_headings":"","what":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"function thins dataset one observation per cell per time slice retained. use raster layers time slices define data cube thinning enforced (see details time formatted).","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"","code":"thin_by_cell_time(   data,   raster,   coords = NULL,   time_col = \"time\",   lubridate_fun = c,   drop_na = TRUE,   agg_fact = NULL )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). raster terra::SpatRaster stars object defined grid layers corresponding time slices (times set either POSIXlt \"years\", see terra::time() details), terra::SpatRasterDataset first dataset used (, times dataset set either POSIXlt \"years\") terra::time() coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") time_col name column time; time lubridate object, use lubridate_fun provide function can used convert appropriately lubridate_fun function convert time column lubridate object drop_na boolean whether locations NA raster dropped. agg_fact positive integer. Aggregation factor expressed number cells direction (horizontally vertically). two integers (horizontal vertical aggregation factor) three integers (also aggregating layers). Defaults NULL, implies aggregation (.e. thinning done grid raster)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"object class sf::sf data.frame, \"data\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_cell_time.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Thin point dataset to have 1 observation per raster cell per time slice — thin_by_cell_time","text":"spatial thinning can achieved aggregating cells raster thinning, achieved setting agg_fact > 1 (aggregation works manner equivalent terra::aggregate()). Note data sf object, function transform coordinates projection raster (recommended); data data.frame, user ensure coordinates correct units.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":null,"dir":"Reference","previous_headings":"","what":"Thin points dataset based on geographic distance — thin_by_dist","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"function thins dataset observations distance greater \"dist_min\" retained.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"","code":"thin_by_dist(   data,   dist_min,   coords = NULL,   dist_method = c(\"great_circle\", \"euclidean\") )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). dist_min Minimum distance points (units appropriate projection, meters lonlat data). coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") dist_method method compute distance, either \"euclidean\" \"great_circle\". Defaults \"great_circle\", accurate takes slightly longer.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"object class sf::sf data.frame, \"data\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Thin points dataset based on geographic distance — thin_by_dist","text":"Distances measured appropriate units projection used. case raw latitude longitude (e.g. provided data.frame), crs set WGS84, units set meters. function modified version algorithm spThin, adapted work sf objects.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":null,"dir":"Reference","previous_headings":"","what":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"function thins dataset observations distance greater \"dist_min\" space \"interval_min\" time retained.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"","code":"thin_by_dist_time(   data,   dist_min,   interval_min,   coords = NULL,   time_col = \"time\",   lubridate_fun = c,   dist_method = c(\"great_circle\", \"euclidean\") )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"data sf::sf data frame, data frame coordinate variables. can defined coords, unless standard names (see details ). dist_min Minimum distance points (units appropriate projection, meters lonlat data). interval_min Minimum time interval points, days. coords vector length two giving names \"x\" \"y\" coordinates, found data. left NULL, function try guess columns based standard names c(\"x\", \"y\"), c(\"X\",\"Y\"), c(\"longitude\", \"latitude\"), c(\"lon\", \"lat\") time_col name column time; time lubridate object, use lubridate_fun provide function can used convert appropriately lubridate_fun function convert time column lubridate object dist_method method compute distance, either \"euclidean\" \"great_circle\". Defaults \"great_circle\", accurate takes slightly longer.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"object class sf::sf data.frame, \"data\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/thin_by_dist_time.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Thin points dataset based on geographic and temporal distance — thin_by_dist_time","text":"Geographic distances measured appropriate units projection used. case raw latitude longitude (e.g. provided data.frame), crs set WGS84, units set meters. Time interval estimated days. Note long time period, simple conversion x years = 365 * x days might lead slightly shorter intervals expected, ignores leap years. function y2d() provides closer approximation. function algorithm analogous spThin, exception neighbours defined terms space time.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tidysdm-package.html","id":null,"dir":"Reference","previous_headings":"","what":"tidysdm: Species Distribution Models with Tidymodels — tidysdm-package","title":"tidysdm: Species Distribution Models with Tidymodels — tidysdm-package","text":"Fit species distribution models (SDMs) using 'tidymodels' framework, provides standardised interface define models process outputs. 'tidysdm' expands 'tidymodels' providing methods spatial objects, models metrics specific SDMs, well number specialised functions process occurrences contemporary palaeo datasets. full functionalities package described Leonardi et al. (2023) doi:10.1101/2023.07.24.550358 .","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tidysdm-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"tidysdm: Species Distribution Models with Tidymodels — tidysdm-package","text":"Maintainer: Andrea Manica am315@cam.ac.uk Authors: Michela Leonardi Margherita Colucci Andrea Vittorio Pozzi Eleanor M.L. Scerri contributors: Ben Tupper [contributor]","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":null,"dir":"Reference","previous_headings":"","what":"TSS - True Skill Statistics — tss","title":"TSS - True Skill Statistics — tss","text":"True Skills Statistic, defined ","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"TSS - True Skill Statistics — tss","text":"","code":"tss(data, ...)  # S3 method for class 'data.frame' tss(   data,   truth,   estimate,   estimator = NULL,   na_rm = TRUE,   case_weights = NULL,   event_level = \"first\",   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"TSS - True Skill Statistics — tss","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... currently used. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate column identifier predicted class results (also factor). truth can specified different ways primary method use unquoted variable name. _vec() functions, factor vector. estimator One : \"binary\", \"macro\", \"macro_weighted\", \"micro\" specify type averaging done. \"binary\" relevant two class case. three general methods calculating multiclass metrics. default automatically choose \"binary\" \"macro\" based estimate. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default \"first\".","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"TSS - True Skill Statistics — tss","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"TSS - True Skill Statistics — tss","text":"sensitivity+specificity +1 function wrapper around yardstick::j_index(), another name quantity. Note function takes classes predicted model without calibration (.e. making split 0.5 probability). usually metric used Species Distribution Models, threshold recalibrated maximise TSS; purpose, use tss_max().","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"TSS - True Skill Statistics — tss","text":"","code":"# Two class data(\"two_class_example\") tss(two_class_example, truth, predicted) #> # A tibble: 1 × 3 #>   .metric .estimator .estimate #>                 #> 1 tss     binary         0.673 # Multiclass library(dplyr) data(hpc_cv) # Groups are respected hpc_cv %>%   group_by(Resample) %>%   tss(obs, pred) #> # A tibble: 10 × 4 #>    Resample .metric .estimator .estimate #>                      #>  1 Fold01   tss     macro          0.434 #>  2 Fold02   tss     macro          0.422 #>  3 Fold03   tss     macro          0.533 #>  4 Fold04   tss     macro          0.449 #>  5 Fold05   tss     macro          0.431 #>  6 Fold06   tss     macro          0.413 #>  7 Fold07   tss     macro          0.398 #>  8 Fold08   tss     macro          0.468 #>  9 Fold09   tss     macro          0.435 #> 10 Fold10   tss     macro          0.412"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":null,"dir":"Reference","previous_headings":"","what":"Maximum TSS - True Skill Statistics — tss_max","title":"Maximum TSS - True Skill Statistics — tss_max","text":"True Skills Statistic, defined ","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Maximum TSS - True Skill Statistics — tss_max","text":"","code":"tss_max(data, ...)  # S3 method for class 'data.frame' tss_max(   data,   truth,   ...,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL )  # S3 method for class 'sf' tss_max(data, ...)  tss_max_vec(   truth,   estimate,   estimator = NULL,   na_rm = TRUE,   event_level = \"first\",   case_weights = NULL,   ... )"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Maximum TSS - True Skill Statistics — tss_max","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimator One \"binary\", \"hand_till\", \"macro\", \"macro_weighted\" specify type averaging done. \"binary\" relevant two class case. others general methods calculating multiclass metrics. default automatically choose \"binary\" truth binary, \"hand_till\" truth >2 levels case_weights specified, \"macro\" truth >2 levels case_weights specified (case \"hand_till\" well-defined). na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\" case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Maximum TSS - True Skill Statistics — tss_max","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Maximum TSS - True Skill Statistics — tss_max","text":"sensitivity+specificity +1 function calibrates probability threshold classify presences maximise TSS. multiclass version function, operates binary predictions (e.g. presences absences SDMs).","code":""},{"path":[]},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/tss_max.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Maximum TSS - True Skill Statistics — tss_max","text":"","code":"tss_max(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #>   .metric .estimator .estimate #>                 #> 1 tss_max binary         0.728"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a time interval from years to days — y2d","title":"Convert a time interval from years to days — y2d","text":"function takes takes time interval years converts days, unit commonly used time operations R. simple conversion x * 365 work large number years, due presence leap years.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a time interval from years to days — y2d","text":"","code":"y2d(x)"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a time interval from years to days — y2d","text":"x number years interval","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a time interval from years to days — y2d","text":"difftime object (days)","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/reference/y2d.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a time interval from years to days — y2d","text":"","code":"y2d(1) #> Time difference of 365 days y2d(1000) #> Time difference of 365243 days"},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-095","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.5","title":"tidysdm 0.9.5","text":"CRAN release: 2024-06-23 implement clamping MESS manage extrapolation clearly separate sampling background vs pseudo-absences update vignettes","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-094","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.4","title":"tidysdm 0.9.4","text":"CRAN release: 2024-03-05 fix predict* functions prevented fixed threshold used assign classes ensure compatibility upcoming changes tune","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-093","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.3","title":"tidysdm 0.9.3","text":"CRAN release: 2024-01-17 fix bug filter_high_cor due changes terra 1.6.75 implement collect_metrics ensembles.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-092","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.2","title":"tidysdm 0.9.2","text":"CRAN release: 2023-11-13 Release CRAN","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-091","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.1","title":"tidysdm 0.9.1","text":"Add spatial_recipe class. BREAKING change makes previously saved objects unusable, old code work expected. Additional articles showing use additional tidymodels features, debug errors. Integration DALEX explain models. functions select variables.","code":""},{"path":"https://evolecolgroup.github.io/tidysdm/dev/news/index.html","id":"tidysdm-090","dir":"Changelog","previous_headings":"","what":"tidysdm 0.9.0","title":"tidysdm 0.9.0","text":"Initial release GitHub.","code":""}]