diff --git a/acs_plotting_maps.py b/acs_plotting_maps.py
index 0560cb1..6889ff2 100644
--- a/acs_plotting_maps.py
+++ b/acs_plotting_maps.py
@@ -68,6 +68,11 @@
     "fire_climate": ListedColormap(
         [ "#84a19b", "#e0d7c6", "#486136", "#737932", "#a18a6e", ]
     ),
+    'tasmax': ListedColormap(
+        [ '#E3F4FB','#C8DEE8','#91C4EA','#56B6DC','#00A2AC','#30996C',
+         '#7FC69A','#B9DA88','#DCE799', '#FCE850','#EACD44','#FED98E',
+         '#F89E64','#E67754','#D24241', '#AD283B','#832D57','#A2667A','#AB9487']
+    ),
     "pr": cm.YlGnBu,
     "pr_1": cmaps.cmocean_deep,
     "pr_days": cm.Blues,
@@ -215,6 +220,7 @@ def plot_acs_hazard(
     name="aus_states_territories",
     regions=None,
     data=None,
+    stippling=None,
     mask_not_australia=True,
     facecolor=None,
     edgecolor="black",
@@ -264,6 +270,10 @@ def plot_acs_hazard(
         average, sum, anomaly, metric or index you wish to visualise.
         This function is resolution agnostic.
 
+    stippling: xr.DataArray
+        a True/False to define regions of stippling hatching. 
+        Intended to show model agreement, eg for direction of change.
+
     mask_not_australia: boolean
         decides whether or not the area outside of Australian land is hidden.
         Default is True.
@@ -524,15 +534,25 @@ def plot_acs_hazard(
             )
             cbar.add_lines(cont)
 
-        if mask_not_australia:
-            # outside the shape, fill white
-            ax.add_geometries(
-                not_australia,
-                crs=not_australia.crs,
-                facecolor="white",
-                linewidth=0,
-                zorder=5,
-            )
+    if stippling is not None:
+        ax.contourf(stippling.lon,
+                    stippling.lat,
+                    stippling,
+                    alpha=0,
+                    hatches = ["",".."],
+                    zorder=4,
+                    transform=ccrs.PlateCarree(),
+                   )
+
+    if mask_not_australia:
+        # outside the shape, fill white
+        ax.add_geometries(
+            not_australia,
+            crs=not_australia.crs,
+            facecolor="white",
+            linewidth=0,
+            zorder=5,
+        )
 
     if label_states and name == "aus_states_territories":
         # label the states with their name in the centre of the state
diff --git a/minimal_plotting_example_tx.ipynb b/minimal_plotting_example_tx.ipynb
new file mode 100644
index 0000000..c43363a
--- /dev/null
+++ b/minimal_plotting_example_tx.ipynb
@@ -0,0 +1,1431 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "dd1da30b-659e-4acd-a459-db686dcb9828",
+   "metadata": {},
+   "source": [
+    "# Plotting maps example\n",
+    "\n",
+    "This notebook gives a minimal example of using acs_plotting_maps.py\n",
+    "\n",
+    "Code is available publically here [https://github.com/AusClimateService/plotting_maps/blob/main/acs_plotting_maps.py]\n",
+    "\n",
+    "The README [https://github.com/AusClimateService/plotting_maps/tree/main] gives cloning instructions and virtual environment requirements to ensure it runs smoothly.\n",
+    "\n",
+    "For example, in your working directory (eg navigate to your home, scratch, or user directory in a project using cd), clone this repository to access this code \n",
+    "```\n",
+    "$ git clone https://github.com/AusClimateService/plotting_maps.git plotting_maps\n",
+    "```\n",
+    "\n",
+    "This code is designed to work with hh5 analysis3-24.04 virtual environment. Eg:\n",
+    "```\n",
+    "$ module use /g/data/hh5/public/modules\n",
+    "$ module load conda_concept/analysis3-24.04\n",
+    "```\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "43ceeed8-e357-4a4a-ab7a-ab346c675a20",
+   "metadata": {},
+   "source": [
+    "# Step 1 - access plotting package\n",
+    "Navigate to the directory that you have cloned the plotting_maps repo to. eg\n",
+    "```\n",
+    "cd ~/plotting_maps\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b15b9c32-7c94-410a-ad69-cc63a73cc526",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/g/data/mn51/users/gt3409/plotting_maps\n"
+     ]
+    }
+   ],
+   "source": [
+    "cd /g/data/mn51/users/gt3409/plotting_maps/"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a4efe307-0a43-4ef1-8c3d-95112eb1ff77",
+   "metadata": {},
+   "source": [
+    "Then import the plotting function ```plot_acs_hazard``` and helpful dictionaries ```regions_dict, cmap_dict, tick_dict```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f2d23bba-1897-481a-8e38-6d0d20204d8c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import ACS plotting maps and Xarray.\n",
+    "from acs_plotting_maps import plot_acs_hazard, regions_dict, cmap_dict, tick_dict\n",
+    "import xarray as xr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d839e8a-b3b8-4222-aff1-2bed306bed3b",
+   "metadata": {},
+   "source": [
+    "# Step 2 - Load and prepare hazard data\n",
+    "Use xarray to load hazard data.\\\n",
+    "If this data is not a two-dimensional array, perform your desired selection or calculation (eg mean, min, max, percentile) to reduce data to 2D."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ea5dfab7-f1f0-416c-987f-5d1cf328f8ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
+       "Dimensions:   (lat: 691, lon: 886)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 6kB -44.5 -44.45 -44.4 -44.35 ... -10.1 -10.05 -10.0\n",
+       "  * lon       (lon) float64 7kB 112.0 112.0 112.1 112.2 ... 156.2 156.2 156.2\n",
+       "    quantile  float64 8B ...\n",
+       "Data variables:\n",
+       "    HWAtx     (lat, lon) float32 2MB ...\n",
+       "Attributes:\n",
+       "    description:             50th percentile of inter-model spread of: maximu...\n",
+       "    models:                  [&#x27;MPI-ESM1-2-HR-BARPA-R&#x27;, &#x27;EC-Earth3-BARPA-R&#x27;, &#x27;...\n",
+       "    pathway:                 ssp370\n",
+       "    GWL:                     GWL 1.2 degC\n",
+       "    bias_correction_method:  ACS-QME\n",
+       "    contact:                 Mitchell Black (mitchell.black@bom.gov.au)\n",
+       "    code:                    https://github.com/AusClimateService/hazards-heat\n",
+       "    history:                 Sat Jun 29 22:01:53 2024: /g/data/hh5/public/app...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-849f0d56-7205-482c-8319-b819b206821d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-849f0d56-7205-482c-8319-b819b206821d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 691</li><li><span class='xr-has-index'>lon</span>: 886</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cbe635a2-ab00-4a4a-a31f-9eebb427bb5d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cbe635a2-ab00-4a4a-a31f-9eebb427bb5d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-44.5 -44.45 -44.4 ... -10.05 -10.0</div><input id='attrs-e4af8183-2dd0-4f21-bd0a-dd8416de6302' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4af8183-2dd0-4f21-bd0a-dd8416de6302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e4cfa76-50b0-47f1-9a11-e88f25a8d368' class='xr-var-data-in' type='checkbox'><label for='data-9e4cfa76-50b0-47f1-9a11-e88f25a8d368' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-44.5 , -44.45, -44.4 , ..., -10.1 , -10.05, -10.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>112.0 112.0 112.1 ... 156.2 156.2</div><input id='attrs-5a7184bf-0c82-4c89-ac18-d60fbb260e32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a7184bf-0c82-4c89-ac18-d60fbb260e32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-041ed339-e0dd-42cf-879e-1b95c5da3fd8' class='xr-var-data-in' type='checkbox'><label for='data-041ed339-e0dd-42cf-879e-1b95c5da3fd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([112.  , 112.05, 112.1 , ..., 156.15, 156.2 , 156.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantile</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-273863ef-93ad-4ca9-8e3e-d32cc1434eda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-273863ef-93ad-4ca9-8e3e-d32cc1434eda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-377b131e-d292-4ab2-86db-1fb6886b2587' class='xr-var-data-in' type='checkbox'><label for='data-377b131e-d292-4ab2-86db-1fb6886b2587' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2275d4d5-f89a-4c89-9130-fbc8ecd079e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2275d4d5-f89a-4c89-9130-fbc8ecd079e5' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>HWAtx</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-044b9b9a-3024-40b2-81d0-4314f6476ad7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-044b9b9a-3024-40b2-81d0-4314f6476ad7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaddeab1-5c95-4fb7-962e-2e724d8fe475' class='xr-var-data-in' type='checkbox'><label for='data-aaddeab1-5c95-4fb7-962e-2e724d8fe475' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum temperature of hottest heatwave</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>regrid_method :</span></dt><dd>bilinear</dd><dt><span>cell_methods :</span></dt><dd>time: maximum (interval: YS-JUL)</dd></dl></div><div class='xr-var-data'><pre>[612226 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2cb96752-c1ea-44a2-b985-2d50880b02db' class='xr-section-summary-in' type='checkbox'  ><label for='section-2cb96752-c1ea-44a2-b985-2d50880b02db' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1b69a7f2-a3a7-4ea8-aff9-6ffff76618f3' class='xr-index-data-in' type='checkbox'/><label for='index-1b69a7f2-a3a7-4ea8-aff9-6ffff76618f3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -44.5, -44.45,  -44.4, -44.35,  -44.3, -44.25,  -44.2, -44.15,  -44.1,\n",
+       "       -44.05,\n",
+       "       ...\n",
+       "       -10.45,  -10.4, -10.35,  -10.3, -10.25,  -10.2, -10.15,  -10.1, -10.05,\n",
+       "        -10.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=691))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a1c81537-1b83-452d-84c6-85e665148c38' class='xr-index-data-in' type='checkbox'/><label for='index-a1c81537-1b83-452d-84c6-85e665148c38' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 112.0, 112.05,  112.1, 112.15,  112.2, 112.25,  112.3, 112.35,  112.4,\n",
+       "       112.45,\n",
+       "       ...\n",
+       "        155.8, 155.85,  155.9, 155.95,  156.0, 156.05,  156.1, 156.15,  156.2,\n",
+       "       156.25],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=886))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2f0824d-5c9d-4669-9200-2ac4760e8df3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2f0824d-5c9d-4669-9200-2ac4760e8df3' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>50th percentile of inter-model spread of: maximum temperature of hottest heatwave averaged over 1.2 degC</dd><dt><span>models :</span></dt><dd>[&#x27;MPI-ESM1-2-HR-BARPA-R&#x27;, &#x27;EC-Earth3-BARPA-R&#x27;, &#x27;CESM2-BARPA-R&#x27;, &#x27;ACCESS-CM2-BARPA-R&#x27;, &#x27;NorESM2-MM-BARPA-R&#x27;, &#x27;CMCC-ESM2-BARPA-R&#x27;, &#x27;ACCESS-ESM1-5-BARPA-R&#x27;, &#x27;EC-Earth3-CCAM-v2203-SN&#x27;, &#x27;CESM2-CCAM-v2203-SN&#x27;, &#x27;ACCESS-CM2-CCAM-v2203-SN&#x27;, &#x27;CMCC-ESM2-CCAM-v2203-SN&#x27;, &#x27;CNRM-ESM2-1-CCAM-v2203-SN&#x27;, &#x27;ACCESS-ESM1-5-CCAM-v2203-SN&#x27;]</dd><dt><span>pathway :</span></dt><dd>ssp370</dd><dt><span>GWL :</span></dt><dd>GWL 1.2 degC</dd><dt><span>bias_correction_method :</span></dt><dd>ACS-QME</dd><dt><span>contact :</span></dt><dd>Mitchell Black (mitchell.black@bom.gov.au)</dd><dt><span>code :</span></dt><dd>https://github.com/AusClimateService/hazards-heat</dd><dt><span>history :</span></dt><dd>Sat Jun 29 22:01:53 2024: /g/data/hh5/public/apps/miniconda3/envs/analysis3/bin/jupyter notebook /g/data/mn51/users/mtb563/toolbox/data_processing/heat/run_calc_GWLproducts.ipynb \n",
+       "Extra notes: \n",
+       "  (Git hash: 98a310d)</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 2MB\n",
+       "Dimensions:   (lat: 691, lon: 886)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 6kB -44.5 -44.45 -44.4 -44.35 ... -10.1 -10.05 -10.0\n",
+       "  * lon       (lon) float64 7kB 112.0 112.0 112.1 112.2 ... 156.2 156.2 156.2\n",
+       "    quantile  float64 8B ...\n",
+       "Data variables:\n",
+       "    HWAtx     (lat, lon) float32 2MB ...\n",
+       "Attributes:\n",
+       "    description:             50th percentile of inter-model spread of: maximu...\n",
+       "    models:                  ['MPI-ESM1-2-HR-BARPA-R', 'EC-Earth3-BARPA-R', '...\n",
+       "    pathway:                 ssp370\n",
+       "    GWL:                     GWL 1.2 degC\n",
+       "    bias_correction_method:  ACS-QME\n",
+       "    contact:                 Mitchell Black (mitchell.black@bom.gov.au)\n",
+       "    code:                    https://github.com/AusClimateService/hazards-heat\n",
+       "    history:                 Sat Jun 29 22:01:53 2024: /g/data/hh5/public/app..."
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# load some dataset\n",
+    "# for example, here we load BARPA rainfall data\n",
+    "filename = \"/g/data/ia39/ncra/heat/data/HWAtx/bias-corrected/ensemble/GWL-average/HWAtx_AGCD-05i_MME50_ssp370_v1-r1-ACS-QME-AGCD-1960-2022_GWL12.nc\"\n",
+    "ds = xr.open_dataset(filename)\n",
+    "ds\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d68c490f-9239-4cc5-9917-c6644601f568",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "from matplotlib.colors import ListedColormap, BoundaryNorm, LinearSegmentedColormap\n",
+    "from acs_plotting_maps import plot_acs_hazard, regions_dict, cmap_dict, tick_dict\n",
+    "import xarray as xr\n",
+    "\n",
+    "filename = \"/g/data/ia39/ncra/heat/data/HWAtx/bias-corrected/ensemble/GWL-average/HWAtx_AGCD-05i_MME50_ssp370_v1-r1-ACS-QME-AGCD-1960-2022_GWL12.nc\"\n",
+    "ds = xr.open_dataset(filename)\n",
+    "cmap_dict.update({'tasmax' : ListedColormap(colors=['#E3F4FB','#C8DEE8','#91C4EA','#56B6DC','#00A2AC','#30996C','#7FC69A','#B9DA88','#DCE799','#FCE850','#EACD44','#FED98E','#F89E64','#E67754','#D24241','#AD283B','#832D57','#A2667A','#AB9487'],name='tasmax'),})\n",
+    "var = \"HWAtx\"\n",
+    "\n",
+    "plot_acs_hazard(data = ds[var],\n",
+    "                regions = regions_dict['ncra_regions'],\n",
+    "                title = \"title\",\n",
+    "                date_range = \"GWL12\",\n",
+    "                cmap = cmap_dict[\"tasmax\"],\n",
+    "                ticks = np.arange(18,53,2),\n",
+    "                cbar_label = \"degC\",\n",
+    "                cbar_extend = \"both\",                \n",
+    "                dataset_name = \"\",\n",
+    "                outfile = \"figures/out.png\",\n",
+    "               watermark_color=\"k\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "fad3b69f-78bb-4234-a277-202d236a066a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAysAAAJXCAYAAACTwMtSAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3gc1dXA4d/M9l313i1Zxb33hg02YHo3PYTeQkkIH4QSIAk9CQkQQgu9mGaKKQYXbNx7lWRZvfeu7Tsz3x9ryxaSbRkky5bv+zzmMbszd+7Myto5c+89R9I0TUMQBEEQBEEQBOEYI/d1BwRBEARBEARBELoighVBEARBEARBEI5JIlgRBEEQBEEQBOGYJIIVQRAEQRAEQRCOSSJYEQRBEARBEAThmCSCFUEQBEEQBEEQjkkiWBEEQRAEQRAE4ZgkghVBEARBEARBEI5J+u5sNHbsWMrLywGQJKlXOyQIwq+naRqapiHLMrIsnkkIgiAIgnDskSSJ2NhYNm3adNBtuhWslJeXU1NT02MdEwTh6CgtLSUhIaGvuyEIgiAIgtBJdwZBuhWstJt4DeiNv7Q/giAcLT4PbHibwMDAvu6JIAiCIAjCQWmadsj3uxWstEc9eqMIVgThOCKmbQqCIAiCcDwTk9kFQRAEQRAEQTgmiWBFEARBEARBEIRjkghWDufQ0+iE45n4bAVBEARBEI5pIlg5HDHlv/8Sn60gCIIgCMIxTQQrgiAIgiAIgiAck46/YEVM3em/xGcrCIIgCIIgHOD4C1bE1J3+S3y2giAIgiAIwgGOv2BFODwxQtF/ic9WEARBEIQTiAhW+iMxQtF/ic9WEARBEIQTiAhWhKNKkiRCAizYzMa+7soRM+hkQgOs6GT/P5uo0EAmDE7CehyeiyAIgiAIwvFABCuHkBAZgk4+cR9lR4cGEhxg6dE2hyXH8OlfbuAv15+NQa/r0bYPJAHhQTYCLKYea3PsoCQ+euw6UuMjMOhk7rhwJl8/dSszRqT22DEEQRAEQRCE/USw0oVgm4Xzp4/kyZvO5bdzJzMuI7Gvu9QnbGYjZoO+x9qTJJh38lhmjU7n4pmjGTogpsfa/jmLyciXT9zEHy+djSz1TMAZFmhl2vCBBFhMKKrGxt3FLFyzk6Lqhh5pXxAEQRAEQehIBCtd0DSNm8+bzryTx/LMref3+OjCiSoqJJDZ4waxYnsuep2OWWPS+XkcYdDJ6HWdfyyNel379Kt9JAmCrGZCA60d9pElCZNRT3RYEKFBVkxGffu++gPaD7CYCA+ydRg90+tkQgMthARYDjmqpmoa367L5A8vLiC3tKbDe3pZJjTA34b8szZkScKg1yFJ/r8H2ywE28ydroMgCIIgCIIAPffY/DgjSxIx4UG02F2kJ0SyPb8cVdWQgKHJMVhNRnQ6GZ+iMjI1nvVZRdhdnr7u9nFtRGo8GYlR3PqP+Vx56gQunjmGV79ajdPjBfyfyWPXnYXbq/CXt79F25v5yqjX8cq9l7Mhq4j/frkKgIFxEdx23gzGZCSgk2VKaxp5ccEKNu4uYerwgfzpqtOIDQ/inKkjSIuP5IuV23nn+w3cfcnJBFhM7Cyo4Iazp9LU5uAPLy6gqqGFWaPT+e0Zk0mMCkXVNHJKqnnx85/YVVDR5fnMHjuIS2eP4/F3FpFfUYdBJ3PS6HSuO2MK8ZHBaEBuaQ0vLFjBrsIKNA3GD07i1vNm8M73Gzhj0lAmDE4CJNZkFvD8p8upbmw9Cp+EIAiCIAjC8eGEDVb0Opl7L5tDYlQogRYT5z/0Kk63Fw1Yn13Msx8uYXfJCJrbnPzvmzWdAhWr2UhogJWK+mY0TeST7Y6LThpFXbOdJZtzMBn1/PuOSxibkcjqXQWAf6RkwuABON1eJCS0vXl6ZVli5qh0Wu0uAKJCAnjt3iuICw/iox+34HR7OWvyMN556BrOf+AVGlrtbM4pYdLQZKoaWtiQXURxdQOyLDEqLZ6TR2dQUd/M+qwi8ipqcXt9nD9jFC//4TKyi6v4fmM2OlnmopmjmTh4AGfc9xLVDZ2DiISoEGaOSuMFmxmA86aP4sW7LyG/oo7vN2QjyxIXnjSa0ekJXPzn1ympbiQqJJC5E4cyfGAseWW1LNmcw+CkaO6+5GTCAq387l+foKjqUfpEBEEQBEEQjm0nbLDi8Sl8/OMWvnj8JiwmA5fPHs/bi9YDkBofQUFFHW9+uxanx0tyTDhFVfW0OtwAhARY+NsN5zBn/CCueeJd1mcV9eGZHB8SIkM4eUwGX63eSavDxfqsYqobWzh3+gjWZxfhU7p/gz46PYFBSVHc+9LnfLRsC6qmMX/ZZv546WyMBj3b88p55sMlXD57POuzCvnbO4tQVA2LyQCAhsb9r3zJ8m25+BQFvSxj1Ot4b/EG/vnxMkqrG0GCtZkFfPTodZw0Ko1Pftx6yD5JgMmo59MV23j8nUVUNbYAEmt2FTL/kWsZl5FESXUj4A9012cV8cBrC2mxuwi0mnC6vcweN4iU2HDyymt/6WUWBEEQBEHoV07oNSutDheKqhJgMfHQb+YyccgADHodJ4/JYGhyDKeMzSAtPoozJg0jJiy4fT9F1fhhYzYRwQEMiA7twzM4fswanU6g1cwPG7NRVI3i6gY2ZBdz+oQhRAQHHFFb+0ZexqYnEhcRjNVspKS6gTv+/Qnb88oB/7ojDdA0+PnA1+6SGtZnFeH1KWgaeBWVD5Zs4o8vfU51QyvBARaiQgLRyzoUVSMqJPCwfdKA9xdv5O4XPqWh1UGwzUJUSACgIUsSkSH7z9Hh8vD9hmxa9o4UtTrcrM0sxGw0EBZkPaJrIQiCIAiC0J+dsCMrABHBAZgMerKLq/j3p8spqqzH5fHy6sJV/rtPSfLf6UpSh6lerQ4XBr0OVdXIL6/ruxM4TpiNes6dPgKvopAQGcr500cC0Gx3MWRADOMHJfH12l3dbm9zTgkf/7iFm8+bzgUzR7NlTykbsor4fOV28isO/3l4FQWfonR4LcBi4vwZIzlpVBoDYyOIDQ8iNjwYi8nQ7TqMgVYT50wdwawx6aTsayMsiECbuUMbPkXB6fZ27JNPQdM0JLHSXhAEQRAEod2xH6xo9ErVbp0sc9KoNIJsZspqm3jn+/WYjQZS4yIorW3E41X2P5L/2aP5gXERPHT1XHLLaiitbTrssfQ6GUmS8PqUw27bHyVGhXHymAw0TeOBq09rf12v0+FTVC45eQyLNmQdYu2P1OFHwOH28uBrX/Hxj1uYPW4Q4zISufX8GVx31hR+++S7bMguPqL+WU0GnrzpXC48aTRrMwtZujmHgso6PF4fL/7+0m61odfJPHXTeVw4czSrd+azbEsOBRV1NLU5+eDP1x5RfwRBEARBEAS/Yz9YOcJAJSLYxuCkaFbvKug0/edAKbHhXDN3EnqdjgExYfzf5aeSEBVCYmQoP+3IY2dBhf9m2qe0p59VVQ2jQcdZU4YzLCWWx976lrqmtsP2KSEylFFp8azYlktTm/PITug4JwHnTR+BLEnc9Pf5HUY+dLLEzedOZ+bodFLjIsgrr8WnqNgsJmRZQlX8H2B4kLV9vQmAyaDHbDSwLquQtZmFGPU6Jg5JZsHfbuTy2eM7BCvdGaiICg3k/Bkj+WzFNu57+Yv27GSjUuMxdJFGuSuRIYGcM20E85du5k+vfoVrbxtDB8R0nocmCIIgCIIgdEu/WrNi0OsYl5FEUnQYet3Bq6MHWEzcf+VpJMeEA/5aHSNT41m8cTfLt+Xi8SpYDP7pP15FwaDX4XJ7kfAHHpeeMg6318fCNbtQNX+6459P3znw/9qcLkYOjGPW6HSsZmOPn/exLDTQytyJQ9mUU8LSLTlsyytr/7N5TykfL9/qL7Y4ItWf6resluEDY5kxMhWDXkdwgIW7Lj6Z0ED/Wg5JgrOnDufDR65lWHIssiThU1Rqm1rbp1IB+BQVn6IQHRaM0aA7ZGFITQNF0XB5vCiqiixJmI0GLp41hiBb92rsqJqKpmm4PT58ioIsSVjNRq48dQIBVvOvvo6CIAiCIAgnomN/ZOUIyJJEgNWEzWzkpJFpbM0rpaHF0WEbk0HPHRfN5Io549tHTMrrmvlm7S50skyAxURdcxsmo56oAAs5JdUE2yxceNJotu4ppdXpRq+T8foUwgKtzBqdzqi0eAItZrbnl7M2s5C65jZmjx/Ej1tyGZwUBZJEm9ONomqYDHocJ1C9liHJMYzNSORv7yzqclRpbWYBxdUNzDt5DO/+sIGPf9zMedNH8NGj17F5TylRIYEUVNbRvHcxuqZBXnktMWFBfPTodXyzLhOdLHPahMHYXW7eX7IRAI/Xx6L1WVx31hS+evIWPlyyifnLNnfZx+rGVhb8tI1rz5xMTFgQxdUNjM1IJDY8CLvT3a3zrGtq44tVO7jurCnERQRTUtPAyNR4okICUUUqYkEQBEEQhF+kXwUrRoOO0WnxlNc1kxwThtPjZc3eGh4AFpOBP8w7hf+7/NQO04oMepnQQCtDk4NIS4jE41VYvjWXoqp6mu0uxg9KIjUuAlVV2ZRTAoDVZOStB64m0GJqf+rvcHnYmlfG3+cvZdboNDbtLuHyORP4cMkmrGYju0uqaGztGDz1dwadjv99u5YFP23r8n2708MzHy5hxMA4rGYj67KKuOaJd7ny1AmEBlr5aMtm5i/dzHVnTWFXQSUAO/LKufap97jq1IlMGDwAVdX4fkM27/6wgZ17CzhqwJPv/0BFfTNThqVgMRlQFJUfNmRjs5jwHpAq2eXx8sR731NW28RZk4eRGh/Byh35PP7uIs6YNIwde9ssrmrg5a9WUbt36l9WURXvfL+B2qY2FFXjL299R1FVPWdPGcHAuAjW7Crg0Te/Zd7JY9lV5O97YVU9by5aT2lNY4frkFNazVuL1lPd0NKTl18QBEEQBOG4JmndqGgYExNDdXU1TL0R9MfmNCadLHP+9JEkRIVQUFFPaKCF3SXV1DS2UlLdiCxL3HLeDJ655XzMRj3S3gxfja1ONuUUo9fJ7C6pJjYsmFanm5ySKj5dvpXE6DDmThzK0OQYSmsaKays59Frz8Rk0HeZuUnTNJrtTv77xUqe+XAJV582kc17SjltwmC27Cnlq9U7++Dq/DIDY8Oxuzx9VlVdAg73w7nvEzjUdt1p50jaOxpt/Go+D6x5jebmZoKCgvqyJ4IgCIIgCF2SJInY2FgqKioOuk2/WbMiSRAfGUxKbDgen4/iqgYGxkUwKi0BvU5m3KAkHrzq9PZAZZ+tuaVc//T7lFQ3sj2vnN2l1ewsKKewsp6JQ5JpaLGzI7+MVoeL3LIa8spr2Zpbeoh+SATbLFx92kSmDE+htKaRuPBg6praaGixkxQVir6bi7ZPdN252de6sd2RBA3dae9otCEIgiAIgiD0s2BlT2kN+RV1pMSGYzDoaGxxkBITTnhwAGdPGU50eFCHQEUDvlq9g7pmO4WV9SREhtBqdyFJEukJUQAMT4nDZjHx5aod7UUE//r2IpZszmnP+NS5LxLxkSHcffHJuL2+9sXfESGBhAXZDpGiVxAEQRAEQRCEffpNsOL1qSzakM3b363nhw3Z+HwqNouRstpGxmUkcsrYjE5ZkBVF5cetucRHBJNVVEmwzUJYkI3I4ADyK+r4eu0uAqwmwoNsDEqKBiQCLEb2lNZwx78/5i9vf8ei9VlUNbTQ5nTjcHv8ldP3BiNThw/EbDSQXVxFZX0Lq3bksy2vDEUVwYogCIIgCIIgHE7fL7DvoaKPkgRx4cFU1DfT6nAxY1QaFXXNTBySzMbdxbQ6XJ32aXW4sLs8XHbKOAoqanF7fVx6yjhcHi+yLJEeH4leL2My6Dl76gjWZRay4KdtyLLEqNQEvt+QzX8+/4mXfn8pLo+P0poG/nTV6Xy/IZuaxlZsZiM5pdXUNLXx1ZrjZ61KjznIZ2szG7FZTDhcHtq6yLa1b/RrX0X35JgwFFWlpLqx07a9rpeKkgqCIAiCIAiH1/fBSg/cCMqyRIjNwjVnTOazFduob26jrKaJ0ppGsooq8fgUDHr/qWqahsvjw2zUk1deiyxBTWMrTo+X3LIaXv5qJXanh9S4CG4+bzo7Cyr4bMVW3v1+A3qdjMloIDEqFLfXS0iAhdiwIOIjQ6iqbyHAYiavrJY/vfoluWW1yJKE2+sjKjQQNBgYH06L3UV+RR1er4La36eDHfDZShIMHRDLtWdOZtqIVKwmA063l/VZRbz+zRoyiypR9444PXLNGYQEWnjwtYUE2cy8++A1NLU5uP7p94/KYv8gqxmDXkdjqwNVrD4RBEEQBEHoM30frPSASUOSsZgMtDlcxIYFkR4fSWRoAEgaiqIRZDOTFh+BpmkUVNTx0Y9b+P0lJ1NQWc+VcyaQWVTJjvwKThqVRmFlPc1tTupb7Hy+ajs6WSY0wEJVQwvRoUFU1jejaRoRIQEkRIZy5uRhNLY62JpbSn2LnWkjBnLu1BE4PT6yiyvxeBUmDB5AXnkts0an8+HSTUwYPICd+eXttUP6Owk4eXQG//n9PEICrSxan0VhZT0DYsK4cOZozpoyjNuf+5jvN2YDMDQ5hsjQQHQ6Gafby86CclocLpzurtcI9WhfJfjdhScxPCWOu1/4lJq9aYoFQRAEQRCEo++4DlaiQgNRFJXCynp+M3cSzW1OqhpaGJoci8VoIK+sjiHJ0UwYPACfoqJqGgtWbmftrkJuO28G//38JwbEhDM0OZZWh5tF67OYMTKNUanxFFU14PEqBNsMxIYH41NVFq7eSWx4EKlxkVQ3trJyWx5/uPQU/vfNGhwuLw0tdoYlx7Jiex6p8RE0tjqICg2kuLqBirpmftqex8WzxrA2s5Ddeh1ThqWwq7CCVkf3Cg8erxKjQvn3XRfTbHdx5d/eJrOwEq9PQa/XkZEQycv3XM4zt57PjoJyKus71hlpanNy9wufoaHh8Sqd2pb2/ufng1T7UlMfjH+/rrdJjA5l8IBoDHpd1/vuHTHq7wNjgiAIgiAIfe24DVbiwoM5b/pImu1Olm/dw9qdBUwfmUpcRDABFiOrdxUyeVgy00ekkhQdSnRYIFX1Lby/eCNnTRmO2+djV2ElTW1O1mYWYtDrOGlUGsEBFqobWwmwmhiREktYkA2Xx4vNYuSkUWmkxkcSZDNTWt3IkAHRZBVXsXxrLhqQGhcBEmzZU9pejHBdVhGzx2SgoWE06qlvsZMcE4Zt8nDanG7iIoL5bMW2vr6cvUYCLpszjrjwYC599A227Nmf9tnj9X8Gf3t3Ef/63UXMGJnKxz9u7bC/xWTgzotm4fJ4eWHBCvSyzBM3ncuO/HLsLg+/OX0iZqOB79Zn8eZ36xiWHMsNZ00lJS6c3LIa/vvFSrbmlvn7IkmkxUdw1WkTmTRkAEaDnszCSt5etJ7NOSWEB9t44KrTmTNuMOFBNl76w6XkldXywGsLcXt9JEWHcvVpE5kxMg2dLLEuq4h3vl9PXlmtmCwmCIIgCILQC47bYMVs1FPX3EZ+RR1zxg9hQHQo00ekEmQzo9fJnDQqjZNGpaFp/if7Lo+XZz5cQnZxFY9dexYWo5E/XXU6rQ4XQTbz3mlkbgKsJj5bsY0pw1LIK6slPNiGw+UhJTaCz3/aztLNOZw+cShnTh5KSmw4v3n8HeIjQ5g9dhCnTRhCU5sDWZaoqm9BUVTGZSTy7fpMNA3qmtqIDgmgqKqB0tpGvD5lb5ax/ivAauKkkWls2l3CppySLrdZsS2Xy//yJjWNbZ2WMO0LItucbv7z+U/odDJnTBrKjJGpKKrGxuxi0hIi+ev1ZzM2PZH0hEgyCyvJKanm3GkjGZueyBn/9xK1TW0MGRDN/EeuI9hmZtGGLJraXJw+YTBzxg1i3qNvUF7bRGOrA5fbi09RqW+209DqQNM0UuMjePP+q0iMCuWHjbtRFJXL54zn9IlD+O2T75JVVNX7F1MQBEEQBOEEc9wGK+V1zQxL8ZKeEElyTBiBVjNZxVWEBFiQJAlJkliXWYQsS2zOKaGoqoEWh4tbzp1BfYud79ZnEhUSQGRIAG6vDwkYPCCG/IpaRqUl4PEprNyRT5vTTUJUKJ8s30JafCSDB8QwPCUWkNiWW8YZk4YRaDURFxFCTVMrhZV1XHjS6PZMVga9zJxxg/EpKpqm0dDqIMhmZlRQAoqqsmhDVl9fyl4VbLMQHxnCyu15NNudXW7jdHvbRz+6K9Bq5uI/v86e0hqCrGZev+9KLp41mqsff4eFq3eiAT9tz+OFuy5h2vCBfLFqBwOiw8gtq+HJ935ge345qqrx0bLNfPLY9Zw5ZRjPfriEpz5YTEJUKBMHD+Cxt7+jvLYJRVX546WziQgO4PwHX20PTAYlRvHxY9dz18Unc+s/5vf/hAmCIAiCIAhH2XEbrLi9Pr5Zm0lokJXlW3MBf1Ywqav0YhJYTUYkCSYMHkBMWBB7SmvYVVhBaKCV0WkJ+HwK23JLcbi9BFhMhAdaiY0IxmjQ4/UpzBydTkOLHbNRT1Obky17SskqrqLF7iRqb7HHz1duJ7+iDovRQJvTjU9R2jNcqXvrr2ja/r873d5+f4Or1+kwGfS0Od09usZjQ3ZRe9DQ0Oogu6iKsRmJbNlTisfnX9uSXVxFm9NDeLANgEXrs1i5Ix+H24NRryPQamrPDhcTGoQsSf7PTFPR0PD5FHyKSlxEMCePyWD+0s0UVTVgNhoAKKlp5PuN2Zw1eRgWkwG7y9NzJygIgiAIgiAcv8EK+G/665vtSBJYTMb2bFGJkSFMGzGQ79ZnMTQ5hsr6FtITIhmVlkB5XRMfLdtMTWMrG3YXExMaRFFlPaU1TVw0czRur0JGQiRZRVXcddEs7C43W3LLCLCY9gYgKrllNRRW1tPU6iDAaiYuMoTGNgcNrQ5mj80g2Gbh/cUbcbq9aPhvhqUuFoF30E/reXh9Ci6PlyCbGVmSeiw4a3V2DAwUVcPnU9uDQ/Bfb03T2gNYvU7H8JRYzpk2gtS4CMKCbMSFB5MWH8HiTV2GuYD/5ynIZuacaSMYNyipw3sDYsL8wW2Q7eDBSj/9bAVBEARBEHrbcR2sSOy/WZwyLIXMokoq6poZlBSNT1EZk56IyahHr9MhSRIVdf60w0s376GivhkJGJeRxNCUWFocLpZvy6W4uoGwoMkEWk14fD7Cg20EmI0UVdXz3bosJgxOIjIkAJNBz87CSrxeHxt3F3PutBGMSo3H7fVRWd/MmIxETh6TwdbcUhZv2s3kIcms2J5HYlQoVQ0t2F0/G2nYdzPbz25sm+1OymqaGDwghuAAC42tjk7bBFhMjN4bSBZV1v+i43Tnkv1m7kSevvk8sour2ZZXxuacUkprG3noN3MPuZ8sy4BESXUD2cXVHd7bWVBBm9NNaxfFLTt1rp99toIgCIIgCL3tuA5WkGBAdBjhwTaa2pzER4QQbLUwaVgy32/Ixun2MnV4CsEBFirrmvly9U7OnzGKyJAAzCYDdc1teHwKBeV1rMssYva4QUwcMoBXvlqN2+vlhbsuYWdBBa8uXM3ItHjOnDyMivpmiqsbaWpzEGgxIdvMBJhN1Dfb0etkCirquPq0iSBJ7C6pYuWOfEYOjGNUWjyhgVbGDUpiU04JJdUNrMsq6vKc+pM2p5tlW3J45NqzmDZ8IF+v3dVpm9njBvHP313IfS9/SeEvDFYOJ9Bq4oo549m8p5Qbn/2AspomVE0jKiSA/7v81EPuW1XfgsPlYc2uQv7+0dIO6Y4tJgPevdPFDquffbaCIAiCIAi97bgOVjQNtuWXc9WpE0iJCeejH7cwflASPkXF7vJgNRmob7FTWttESVUDzXYna3cVcN70kUwcMoA3v1tHWnwke0pr8PgUvl2XiU7231HKssyG7GI2ZBejahqbc0pZn1mEqmnYLEZOnzCU2PBg4sKDGZQUzYptuWzKKaG4qoFdRZWkxUVQVd9CsM2CLMvUNrWRW15LSlwEbq+PnNKaPr56R89HP27hytMm8viN59DicLFxdzE+n4peJzMyNY4/X3MG9c12VmzL7bU+yJKETpapaWqjqdWJqmkY9Dpmjk4nOSaMn7b7t9M08HoVbGYTgVYzel0rJTWNbNxdxFWnTeCLVdspqKhD1TQCrWb+ct1ZNLU6+es736Go/Xv9kSAIgiAIwtF2XAcr4M8ktWTTbqobW2lucxIaaKG6sYVdBRVYzUaMBv8pDh4QTVJ0KDWNbaQnROFTVGaNTm+ve3L+9JEY9DJBNgvhQTYMeh1hgVZGp8UTEezPGOZwuXG6vSTHhmMzm5BlmDEyldBAK/kVdXy9dheqprGntIbKumaqG1vJLavBZjaSFB3Gxt0lLNuSQ1RIIE1dTIfqryrrW7jjXx/z4t3z+OLxm1i5PY/imkYSIkM4aWQaFfVN3P3cp9T+imrxhwsTWuwuvlufxYNXn84/br+QnQUVpMSGccrYQZ22XbE9j2vmTub5uy5h5fY8nv5gMU9/sJh3H7qGz/92E1+s2k6L3cXJYzIYPziJB19b2O8TJQiCIAiCIPSF4z5Y8fxslGJDdnF7lq0pw1IYnBTNiu151DW3MSgxmjaXmw3ZRRRU1JEUHUZ5bVN7xq9BSVFkFVUxPCWW7fnlnDttBG1ONw6XhwCriSEDolmyOQevT6Gwso7UuAjWZRXhcHuwOz1EhwYyLDkWvU5HfGQwYzMSyS2rYWdBBY2tDsrrmro3XagfWpdVxLxH32DeyWOZPTaDyUOTabG7eP6z5XywZCP5Ffunf63NKiLYZsa7N6vXqh35uDw+VE1DUVW+35DNrsLKDu1nFlXw3frMDovcm9ocfLMuk8LKOjTgv1+uxO31ceFJoxg3KJHiqgbuf+VLTh6TQVZxVXvA8c3aTP7wn8+4ZNYYRqUlYDTo2ZFfwbxH/sfN587glLGDMOh1lNY0csPT7/P9hmxRzV4QBEEQBKEXSJp2+NusmJgYqqurYeqNoDcejX71iLjwYHSyzKkTBvPj1j2kxkWQnhCJx6fwwZJNzJ04FJvZSEighdU7Czhj0jBKaxqxmAw0tjrISIyi1eGmvsVOXEQwAWYTnyzfwpWnTuCbtZlMHpbMvz75kTHpidQ1tWEw6IgODSQ1LgJF00CDD5duOm4DlIGx4dhdHqobW3u0XVmSMBn1uL2+Dtm7jhaTQY/FZKDF7vpFIyLmvUkb7E73sVu53ueBNa/R3NxMUFBQX/dGEARBEAShE0mSiI2NpaKi4qDbHPcjK4dSUd+MyaAnMiSA5JhwMhKj+PjHLQwZEMOQATH4VJWhKbHYnW5GDIxja14pFqOBmaPTSI4NJ7uoitMnxlPfbGd7fjmb95QwblASmgaDkqIwGfRMHprM4AExvL94I4MSo3G6vbg8PjbllFBQWdcnN+PHOnVvjZm+4vb6cHt9vzg7l8vjA3w93S1BEARBEAThZ/p1sAL+aWJvfbeOpjYnkSEBRIUGsrOggklDkzHpdXz+03Yq6ptxuDw0tzkJDrAwMjUel9vLtBED0ckyb3+3HvBPDwqymbGadmM1G4kODcLl8fHN2l24PF7iI4PRNPD4FKJCA8krr+3jsxcOSWTnEgRBEARBOKb1+2BFg/ZpTAt+2oZBr8Pp9vL9huz2bXSyhEGvw2YxkhoXwYiBcaTGRbJ5TwmDk6K546JZvPHtWkwGHU2tDvbNisot2x+MGPe2u3F3CQEWI5X1LUfzNAVBEARBEASh3zn+gpVfUVjPp6hdrh8Zk57IuEFJSBKU1zaxZU8phZX17MgvJ6uokpmj06ltauOimaMprm6ksr65Q6AC/tGUH7fsQQNaHa5f1sETgNGgI8BiwuHy4vL8bCrYUSqamBwThiRJvVbTRRCEo0fTNCRJDJMKgiD0V8dfsNIL30k5pdUUVtXjdHmICA4gLT6S79ZnkRgVgsPtZfnWXNqcLn7ankd6QhRRIYGdghU4fPrcE5UEpMZHcuM5UzltwhACLWacbg+rdubz3y9Wsquw0r/Q/SjcbwRaTXzw52uRgLPuf5mGFnvvH1QQhF7h8/m44YYbmDBhArfffntfd0cQBEHoBcdfsNILWh1uwA1AY6uD9xZvpLapjS17SgF/9iqr2Uib082mnJI+7Gk3HaURiu5KiQ3n/YevISI4gM9Xbie/om5vbZtRzBqdzhV/fYutuWVHpS8er8L6rCIkScLp9hx+h2PNMfbZCkJf0uv1vPXWW33dDUEQBKEXiWDlZ1qdblqd7g6vqZpG289eO6YdQzezEnDdWVOJjwzh0kfeYG1mIaqmIUsSHyzZxJeP38yt58/gpmc/7LTfvvPoKruwxAH37dL+bfa9frDt3V4f9/73c4BOUwIPd8z27bqxTa85hj5bQTgW+Xw+WlpaOP/88xk7dizPPPMMRuPxk3JfEARB6EgEK0Kv0ulkkmPCKKluZE9ZTXtdE1XTyCys5Lqn30PCHwBomj9RwczR6Vx56gSGDIimprGNL1fv4LPlW2lscwIwZ9wgzp8xis9WbOWq0yYyYmAcf3r1K4x6HRecNIp/frSM3SXV7X2wmo08ffN55JbV8p/Pf+KeS2dj0Ot4/J1FaIBOlhk3KJFrTp/EmIxEHC4P32/M5sMlmyirbWpvJy0+kqtPm8DM0enodTKrdxbwzg8byPxZgUpBEPqOXq8nLCyMn376SaxnEQRB6Afkvu6A0L8pqkphZT0ZCVHMHjcIm9nYPjjgU1SWbdnD0i170DR/YaArT5vIG/dfRVJ0KMu27KHN6eaJG8/lsevOIsBiAvzTyq48dTzP3noBCZEhrMsqorHVQWOrg7OnDGf2uEEceH8yYXAS804ZS6vDhSTBtBEDmTEytX2IZM74QXz0yHVMHpbC6p0FFFbW8ftLTuHFu+cREWwDYFBSNG/96WounzOBnQUVbMop4dzpI3n7T1czKjX+aF5SQRB+prS0tMvXRaAiCIJw/DtqIytWkwGDXkezvXcyZe1bxB1gMVFQUYfJqCc9IYoN2UW/qIK8XiczKDGK5JhwnB4v2UVVKJpGXVPbL6p6fqLSNHh14WqmDk/hv3+4lMtOGcfyrbmszSxkR0F5h+KQyTFhPHT16Xyxcjv3v/IlTrcXvV7m2jOm8Lcbzubrtbv4YeNuAKwmI9+sy+TJ977H41NQVQ2jXkd2cTUXzBjF61+vwe31odfJnD5xKA0tDlbvKug0dSsiOICHrzmDgso6rn78HarqW5BlifOn7+a5313IqROGMH/pZu65dDYhgRbOf/AV/6iNBmkJK/n8bzdyx0UzuenvH4oCoILQRxITE494n4ONuqiqiiyL53iCIAjHiqP2G/mk0ence/mpHOmDrinDUkiOCT/sdhowZEA07z74G8ZmJDJn3CD+cfsFJEWHHXFfQwOt/P22C7j38jmU1zVR19TG3fNO5t7L/NOHjnUWo4GzJg87ZpY3lNY0ctljb/LgawsxG/X87sKT+OKJm1j63J1cPnscJoM/Zp4zbhAA85dtRtqb1MCo1/PN2l3YnR5OGTuovc36FjsLV+/E5fG1Bwken8LHP25hZGo8g5OiAQgJsDB34hDW7iogv7yuU9/GpCeQEhvOqwtXU1HXjKpp+BSVr9bsYNbd/+b79VnERwRz0qg05i/ZTFltE1aTEavZSGV9M9+tz2LmqHSsRkNvX0ZBEHrQwUZdFEU5yj0RBEEQDuWojKwY9DouP2UcM0al8faideSW1RJoNRFoNdPY6sBmMSFLEnXNbUSHBmE06LA73aTERvDkTefxt3cXUd/SRoDFjMPtIchqxuX24vH5CA20AlBe14zT7SXQasZo0LM1t4yn3l9MVUMLNrORsCArJoOBstomZFkiJMCCx+sjLNBKQ6uTuuY2/wXRydx2/gwunjWGyx59g2155QDUfbqcMycNA8BmNhIVGohPUahrshNoM6PXydQ32zHodRj0OnyKQniQDYfbQ2Ork7BAKz5FRa+TMRn0tLncGPV6NE0jJNBKaXUjmqYRGmTF4/UREmDF6fHS6nARFx5MdWMrja0OAiwmIoJtONxemtuchO5tN8BiQtNUqhtbuf6sKcweN4iNu0uobW7tm4XgP1Pb1MZLX6zkre/Wkxofwej0BH5z+iReuGseNouJN79dS0psBJEhgTxzy/kdarBIkkRooJXEyJD213yKisvj63Scn7bn0tTm5IzJQ9lRUM7I1HjSE6J48LWFKKqK7oAnphIQFxEMQM4Ba1zAnzVsX3CTnhBFsNXMpbPHcvLY9A7bxUeGYLMYCQu20eY6DrOLCUI/5PV6MRgO/wBBURR0uo4PoLqznyAIgnD0HJVgZVBSNA63h9BACxeeNJpn5y9hzrjBvHj3PG75x3zOmz6CIQNiuP25j3nsurP4bn0mEcEB2MxGxg9O5JQx6UjAM7eez57SGhKjQthVUEl4cAArtufy27mT+Ns7i2jZW4xRJ0vMO3ksF80cTVFVPXdeNIusoioumDGKBT9tY0dBBa/ccxkrd+STHBNGm9PNBQ+9htenEBJg4eJZY6isbyG/Yv+T+Iq6Zj5cugm9TuavN5yDx+slLMhGSVUDSTFhzB47iIv//DrJMeEMjIsgNS6C/IpapgwbyDMfLObPvz2DIKuZxjZ/wLF6ZwFXnDqBr9fs5OypI/jvFytZvm0P8/98HVtzS1E1jdFpCbzx7VoumjmanNIafv/CZzz0m9Mpr21m8rAUXvlqFQ9fcwYuj5fyuiYmD03hln98yOVzxhNsszBzdBpfrt6Jx9v5pv5okg7I1uVwe9hZUMHOggq+WbuLDx7+Lb+dO5nPf9qOLEvYXW7W7Cqgae9i+n2Wbs4hq6jqsMcqqKhnQ3YRp44fzGsL13DBjFHkltWy+SApp+W9T1cPFc/JsoSGPyHAzoKKTu/bXR5aeml6oyAIR+7nAUdtbS2RkZGdtvt5oCIIgiAce3o9WDHqdYzPSOKfHy9j+MA4rjp1Am98u5ay2kaCrGYUVaXF7iLQaiYuIpgx6QmU1jTywZJNxIYH4fYofPzjVur3Fu9zur1c88S7RIUEcv+Vp1JW3YjFZGRsRiIrt+cDoCgqFfXNBFrNWIwGgqxmKuub8SoKk4Yms3JHPrIssSG7iOziKm47fwZmox6vT8Gg1xEWaKW0phH33pv81LgIEqND8flUwoNtnDt1BLf/6yNSYsK58+JZPPbWt1x00hiGpcTi9SnUN7dxzdxJLNuSw6zRGYwdlITT7SUuIpjb//UxrQ4XZ08dgQR8/tN2BiVGM3JgHJ8u34qGxo6CCjbtLuazv97Iht3FhAfZOHfaCGaPy2DO+MH85a3vmD4ylYlDBuD1Ke3Xa87YQQTbLBRXNRAcYOHTFdvQ+nhYJTzIyq3nzaCgsp75yzZ3WNfR6nCTV17HtBEDMRv1lFQ34PJ4+XDJZrbk7l8wKwE2i5E25+FHLtxeH58u38Yb91/JzNFpTBmWwrfrdlHf4ui0rQZU1DcjSxKDE6PZvncUDcBo0JMeH0ltcxsVdc3YXR625pbx7IdLOqxZspgMeLwKinrk66IEQfh16uvrCQkJOWjQsW/kpKtARRAEQTg+9PqalfjIEEanx3Pq+MGU1zWRlhDJGZOGAlKnp9nbcsuYv2wzl88Zz83nTsPSxTqA4qp6cstq2Z5fzobsYoYkxwB75x8fOAV5b+NtTjdLNu1mUFI0aP4n6fue9Lu9PnyKgiRJSHt3drg85JTWEBxgIdhmASAmPIiX77mMP1x6CrHhQVjNBtxeH4rqn35VVNnAqp35/P6SU3B5fBgNeoJtZjTgL29/yw8bswGorG+hqKqBoqoG0DQU1T+VyetTOsyfdnt8uL0+NMC19+9Gg56o0MD2Pj3+7iK+XZfZvr3Hq6AB+mPsSaGiakwZPpCHfjOXcRlJmAx6ZEnCbDQwflAScycNIa+slrpme3tWsN/MnURIgAVJ8k/LmzpiIPMfuZ454wd365hrduVT1dDCPZfOITY8mG/WZh40mNieV0ZRZT3XnTWFhMgQZEnCoNdx5qShvP/wb5k6bCBltU2szSzkqtMmMCQ5Br1ORpIkwoNsPPe7i/jbDWcjy8fKCiFBODFomobBYDjk6IhOp8Pt/uU1slwuMWIqCILQ13p1ZEWWJE4Zm8ELC1ZQWFHPovVZjM9I4qrTJvL0B4tRVJWokEDiI0OQZYnk2DA+W7GNkupGfnP6RH7algdoxEUE43B7OhT8mzhkAPdefioPvvYVOlki0GryL9SW/IGLLPvDj5S4CP524zk8/+lyDHoZs8mA1WzEH9tI7UHCvlihxe7iX5/8yAt3XcKMkamUVDdS3eBf99Hc5mRDVjHVDa0EWcyEBFoprm4gp7Sa9xdv5NFrz6Swsp7mNic6nczgpGhySqqxmgxIkuTPPrO3//uOK8sSOln293dv0CRL0t61Ff7iiTqdP6bML69DkiSGJseSXVxFkM2C1N7G3v0l/3oOm9lIQmQIlfXNvygbWk9panPyj4+W8sb9V/HJY9ezZHMOdc1txEUEM3vcINocbv7+0VLcXh97Sqt57uNlPHTNXAYlRrFlTymBVhNnTRlOQ6uDosr6bh2zodXBwjU7uefS2azcnsfmPT+bAnZAlFzV0MrTHyzmv/dcxsePXsdPO/KxmU2cP2MEuwoqWb0rH0VVeeaDxbz30DV8+tgNfL8xC7vTw6ShyYxMjeO+V75EE5nABOGoWrduHQsWLOCqq64iJSWFoKCgLrf7NZm9zGbzL95XEARB6Bm9GqykxUeSHBNOVEgVhZX1GPR6Pl+5g7AgK8E2M68tXM2EIQPIKqqivsVOgMXEiIHxqKrKcx//yKqd+Yz4YQMZiVFUN7SwamcBbQ43ZqOeoqoGPl+5DefeaUM6nYTVZGTpphzMe0dkFm/ajder8Onybbg8Pj5ZvpXUuAiCrGaWbt6Dy+vF5TGwaH0WseHBNNtdaMD3G7K4+vF3OGfqcG44eyqSBIvWZ/HFqh3sKCjnL29/x7CUWCwmA/f853Oa2pws3rSb0EArmYWVyLLE3z9cyvSRqTjdXj5fuZ3dJVUYDXoCbWacbi8Ol4fl23IJtJrILqnC7vQQHxnM8u25NNmdhAfZ+HT5NsKCrDTvbT+3rJanP1jMrNHp2J1uvtuQxdbcMprtTgIsJhZvzMbnU3lv8UYuPWUsA2PDKT+gqGFfWb41l/P+9ArXzJ3EyNR4hibH0Opw8e6i9bz5nT/hAvhHu15ZuIr8ilquPHUC00YM3DutayuvLFxNYaV/DVFeeR2fr9xOU1vnqV3gD9Y+/nEr4UE2vl6bide7P7uPpmms2J6HXie3L6RZuGYXtc2vc/1ZU5k0ZAAen8Ib36zj9W/WUNvkT7yQWVTJRQ+/zk3nTmdMegJGvY7y2iau+WgpSzfnHHLNiyAIPW/KlCk4nU7KyspYtWoVt99+e5dph8WCeUEQhOObpHVjUUNMTAzV1dUw9UbQG3vs4PtGA/Y9+d832qHXyXh8SvtrB+vhvtEKoMOoS+ft9rdx4D6HI0sSFpMBRdVwe7wd2jfodWh709weeD6Kur8/BoN/HUxPrxsxGfR4DtOuLEm/uh5MbHgQLo+Pxtaug4Ij5V97YsJsNOBwe3AcInuWTpYIsJjxKQr2o5RlS5YlAiwmfIp6yL7ZzEb0Oh1tTlf7533M8XlgzWs0Nzcf9ImzIBzPfD4fer2empoawsPD0el0nYIVUcFeEATh2CZJErGxsVRUdE5gtM9RKwrZFf+N3v6bPU0DDa09UNn32sEceLN+qFvGA9s4ksBB1bSD3ih7fZ1z8R9446pBr2Xhcnej3Z4oXFlZ3/Kr2ziQhn8NUZvz8HPIFVWj2e487HY9SVW1bmX1OlrBkyAIXdM0Da/Xi16vJyoqqv31n4+qiEBFEATh+CfK9AqCIAjHFUmSsFgsfd0NQRAE4Sjo05EVQRAEQfilvF5v+2iKqJkiCILQP4lgRRAEQTjuaJrGu+++iyzLXHrppWKkRRAEoZ8S08AEQTgh9HWBVKFnffnll9hsNqxWa4cUw6qq+hPCCIIgCP2CCFYEQehXamtr2wMTRdmfNU8stu5fEhMTWbFiBXFxcbjdbt58803++Mc/sn79eqKjo/u6e4IgCEIPEcGKIAj9RnZ2Ns8//3x7gCLLMl6vF4CWlp7Nbnc07dq161dVYu+Pxo0bx0svvcT06dORJIn4oI+5+NTdmEymvu6aIAiC0IP6PljpDzMz+sM59Ib+cF36wzn0Q4WFhYC/ijlAdXU1mqYRFxdHRkYGzc3NgH80paWlBZ/Pd1zXmykuLhY34V2w2+3U1NTw0r9u4JRpJr74cTgej0gtLgiC0J/0fbDSH2Zm9Idz6A394br0h3PoYx6P55DFng6kaRpZWVkHfT87O5tNmzZw22238cYbb5CYmMijjz7KXx46l82bN1NeXo7VamXJkiWoqr9ga0REBHr98ZtLZNeuXVit1r7uxjHn3nvvpTbnQtpKruaOa1rZvL2Fb7/9luuuu44PPvigr7snCIIg9JDj9xtcEITjQktLC+u/mce40z8gOjr6oCMEX375JRs3bkTv2Ux4wimcdfZFDBw4sEM7zz33HG2Nm7nl6iS++f4NLrjgAgqzP+e82YE8+uijWPR1zJ77W+bMmXO0Tq9XORwOXn75ZV588cW+7sox5+LzhpIYn9f+/2NGBLH5+yBkWWLpypcoLJxCSkpKH/ZQEARB6Al9P7IiCEK/1draSn19PdvKZuPMu5qXXnqJluYGAJqbm3n9xTtY8u3LvPTv+4nhWdat+oZb5/kYkryL/7zwRIe2LBYLL7/8Mnf84UV+WN7E7IleXn/9dWLihzJjvIU3/+Lm4VuMlBXvIiUlpX29SnFxMV988UUfnP2v98QTT/DUU0/1dTeOSdrPvr50OglZ9g+Fzp4RyaplL/VFtwRBEIQeJoIVQRB6hcfj4corr6SoqIiioiJCgw3oPFt45qk/c91vr6B0/TmcN3U3I6M/5dxJGxmYaOHDf0bQZLcwcpCbMemN/P2pO9vbMxgMyLLM5MmTufjyP9Mg/xaaP8HjrOXD70NZsm0YW3NszB61la+++gqAPVmrmf/6tUh1z7J1w8JOfdQ0DZ/Pd7QuyRFZunQpF110EQEBAX3dlWNSXs76Q75vDBh/lHoiCIIg9CYxDUwQhF7x6KOP8n//93/ExcUxefJk3J5PuPzUKgpLC3jh04E891YTT/0xGkmSMBn3Lw6SJQ2vT8YcoON31z3TZduzZs2ioqICk+E3/PGvt6NpGrIs4/F4+Ov9s5k54SW+/96KvuFJrrvAAFjZtOtfOEfM6VA8cNGiRYwfP57IyMjevhxH5Ouvv2bChAkiBe8hBFrKOdTztsDAwKPXGUEQBKHXiJEVQRB6xSmnnMKNN95IfHw8sizzwvxgAFISrfzz91Xcf1NYl/uFxVlY+G0zS1ebOxT720eSJCRJ4sorr2Rg2nAkSWrP/mUwGBg3/QZS4nyMjfw7IwcZ2vcbN0xi27Zt7f/v9XrZsWPHMZFly263o2kaP/zwA//85z9FoHIYiqKgOtrYtMlIbYOJndt1nbbRO5/Hbrf3Qe8EQRCEniSCFUEQesWAAQO46aabMJlMzJs3j1177BSWutrfDwkydLlfS2UtM069g/++8s5hjzFr1iwAQkNDAf+0rlVrdlJvebrTtpIkUbHzQTweD5qmsW7dOm644YZeSWnc3allLS0tPP7441gsFr799lsA7rrrri4DlX31YgTYvnkR08ZIDIxtoKHKhSHQRktbx5+nCaP0VJVv6aMeCsLx49FHHz0qRXOrq6u5//77GTFiBAEBAZjNZtLT07nrrrvIzc3t9eMLx69uTQPbV2AtyCQh6UUu116hIdLk9ld98NlqOokW9v/bPdr+/ve/s27dOoqKihg5ciSzZ8/m5ltu544nnmD8kBYeuSOy/ctRVUGS/H9WbfYQmv4Ys0bP+kXHlWWZxx9/nHvvvZer5oYhSxpBlvFISPhUjRnjFvP9+3Opa9JR5zuNrKwszjnnHGJiYlBVlZqaGt575UYCY87mlltu+cVf4N1JldzS0sLu3bu57777aG1t5YwzzkCWOz4/qqqqIioqClmWMRi6Du5ORDlb3yFxgv+ziQy24/G6KKmMJTzYRVS4C50O1m72cualM/q4p4IgAGzYsIGzzz4bTdP43e9+x5QpUzAajeTk5PDee+8xceJEGhsb+7qbwjHqiIKVlh9f7dXOCILQs1pbWwkODj6qx8zKykKWZa655hqMRiMxMTF8+umnBAQEcMYZZzBhwgS+WPMDGdGbGZRsQq+XaW3zsSF3MGdf/uyvXlBuMpk4++yzGR2/A4Nh//Qgj1djU34kRpuRQRFuRho2EBZYz98ffYla+0BGDQni8lPLCA+SufTqq9unl/XW9fvkk0847bTT0DSty2Ns27aN8PBwFEXpFMScyGpra5k8tIYDv76MBoVwKmmqsVBYYGXKJAc6cckE4ZjQ0tLCeeedh9lsZs2aNSQkJLS/N2vWLG6++WY+/fTTPuyhcKzrVrAiyzKlpaUEBgYelaFCQRB+HU3TaG1tJS4u7qgfe+jQoQwaNAidbn+gMGzYMADmzp2795Wz8Hq9bN68mYad9xCU+jSXXT+9x/owYsQIvDVbOwQrRoPEpIzxeLxg1INXgbJ6hbmnrGZ4SgsGQxsgc9I4Hw899BCTJk2iNOsVkobdwmWXXdbtY+/YsYMRI0Yc9Hely+Xi22+/ZcaMGQQEBHQ5YrJx40asViuqqooRlZ/ZuXMnI0I6f3WZDArRoW0EWt2s3xBCY72K0+nskFBBEE5033zzDQ8++CDZ2dnExcVx++23d9pG0zT++9//8uqrr5KTk4PZbGb27Nk888wzHWpfaZrGk08+ySuvvEJ1dTXDhw/nySef5PHHHwdg+fLlALz22mtUVVXx4YcfdghUDnTxxRf3/MkK/Ua3g5WD/YAJgnBsOtojKgc6MFA5GIPBwOTJk2ke8m2P97Wuro4Yi7Fzv2QJi2lfHyEtVk+Tw4jBsP8xfEiQngd/kwlkwiADy9b+m+LiKWRlZTF37twOQchXn/6Dxcu28sDDzxIREYFer2fkyJFd9qm1tZX77ruPXbt2kZaWxtChQwkJCWl/X1EUqqqq0DSNb7/9lokTJ3Lqqaf2yPXoLxRFoangWRh78G2sJi8ZCbUYcYqHa4JwgKVLl3LeeecxZcoU5s+fj6IoPPPMM1RXV3fY7uabb+att97izjvv5Omnn6ahoYG//OUvTJ06le3bt7evqXvwwQd58sknuemmm7jwwgspLS3lhhtuwOv1kpGR0d7eDz/8gE6n45xzzjmq5yv0H5LWjUntcXFxVFRUHI3+CIJwAtqyZQsNDQ3MmTOH2traI04lrGkaxcXFJCcno6oqS5Ys4dTkzG7tW1TjQ5KX09BqIcTmItDq7vB+QamDv78XxyM31rJmh4W0sfdiMBior69nVMS/qan38drCQURHRzNv3jxGjRrVYf+6ujpCQ0N54403KCvZjdGzkvN/82b7aFNDQwM6nY7nn38eo9FISXEeF0zbwd1/LWHVuuz2gEbTtBP+5nv79u3EKX/s1rartzg57/qVSJIkrp0gAJMnT6a0tJT8/Pz2TIutra0kJyfT0NDQnnhkypQp/OMf/+APf/hD+75lZWVkZGRwxx138PTTT9PY2EhsbCznn38+8+fPb99u3/4zZ85sH1kZMmQITU1NVFZWHtXzFY4PkiQRGxt7yDhDzOoVBKHPlZeXM3v2bADeeOON9lTE3bHvRnTjxo0s/2EBC9/4IyMD1nXaxuvr+rlMef1WNGUmI5Km0mrvvCA7NMjAyaPyiY4wcMEpPkaEPMlg21+YlvQfAqx6BiaaGZ6YTVHBbtLT0zvs+84775CVlcWSJUuYkvQu04Zs5erbP2XYsGE4HA6++uorMjMzCQ4O5uabbyZMt5hHbyhi1JAgfvxgOCtXrmxva+vWrd2+Jv2Rqqrk7vyYoupQqhoCUZRDBx8BVonS0lIAEagIJzy73c7GjRu58MILO6SEDwwM7DDi8fXXXyNJEldddRU+n6/9T0xMDKNGjWoPQNatW4fb7WbevHkdjjN58mSSk5OPxikJJxBRFFIQhD730XvPUpnzElrg+Tiqv6Sp6bIup4Z5PB4aGhqIiYkB/As358+fT0hICHa7ndEhecw8KREAt1ejqNqHTpbwZpWgkzSUjCRSovWYDyhCOW3IBMAf0LiVjqluPT4docFwyZnhh+z/ledYufKcFpYtW8bMmTPZvXs3CxYsIDc3l7/cUktkpBEwkVXkn1K7dOlSFn/+R0ZOvZeJEydSW1tLSUkJ8alz+WZ9AWdM2IMsSyiKQl1dHffffz8XnTMWZdSobk2x62/cbjfPPPMM55xzCYENXxAbFURJrT89dLNjCxajl9jwlg77jBpsZvWii9kWdjl2exPJGXOZMmVK+/uqqorEBcIJo7GxEVVV2393HujA16qrq9E07aB1nvatWamvrwfocrufv5aUlERubi52ux2bzfaLz0E4cYlgRRCEPnf6qTOYO3YDCVPu5PlHr6Zi43/ZszWZ4JBwfD4PmibRUFtOrLUej09jt2UQuqB09DXfcOOsaGBf8b8INE2jokGlZnMJQ61OJAnYu8a6LLeY4hyJQXNS24+tqBo6WaKwWiE8qA2PT4dBp1BaG0KbYxwRQTI26wpsZs9hz2Ni7L/IWvYk1fUGUsO8nH8VRITuX+A9a7zCrdfN4YxpTu65LoJVW97ihRcyefzxx/1T38aP5923/o3HuxuzScfUxBd57T/fkBynMS5hAff8fiv/ev61nrvwx4kln/+HUPL45JNPuHWuEYtRYlD8vsQDk7C7VIpqFIIDlmE2Ku37TRsfDPjr17z15XoslqcYNWoUkiSJQEU4oYSGhiJJElVVVZ3eO/C1iIgIJEli5cqVXRbM3fdaeLj/Ac7P17vsa+/A0ZXTTz+dH374gYULFx5RshJB2EesWREEoc9s3ryZ1T8tYMmPO3ngRgNRwZNJifllz1DU1DspXPVPPD6NkPxCgvU+DiwLpWmQ7bAwfHYyet3+N77dtIvTxw4jp8yH2fwTDpeRqJBWiqrD8HrHMCpFT7MD6loUosOWotf1XO2aV+Y3c/efl3VI1/z6P07lvJM7b+v1qpx+Qw0//fRTexHME0FzczPN2/7JolV7KK1q4S93zOlyO1XV2F68lsTIpk7v1Td60CIfZsjIrvcVhBNBd9asrF69munTp/PRRx91muJ1oIaGBuLi4jjvvPP46KOP2l/vas1Kc3MzgwcPxmAwsHbtWuLj4zu1t2DBAi688MKePWHhuNCdNSsiWBEE4ahRFIWbbriE3/z2LkaOHMmkSZN46ZFw4mMvYHDCL0/R2+pUyV1ZwmCrg4PVrW3y6ZDQ2NEWgE+TOPXMOGR5/8ab8tYRGmgn2OamujEAh9uIxTCW+radDIkfTaBFJr9mFYoiExPWgk72/+r0KdIvDmByCuzsqLmK5ORkkpOT2bTqDU4ZuRWTseNT/zVbPVQ2mLj8pk/6NMtbX/jktQe5eGZEt7bdUrCGpKimzm2su4Dbbruth3smCMeXxYsXM3fuXKZOnco999yDoig8/fTTVFVVUVpa2l5T7+abb+a9997j9ttv56STTsJms1FZWcmqVasYMWIEt956KwAPPPAATz75JDfffDMXXHABZWVlPPbYY/h8PgYPHsyyZcvaj72vKCTQoShkbm4u7733Htu3bxdFIU9QIlgRBOGYoWkaiqLw2jNTaGpyMHb2P9Hr9Tz22GMse+V8dLpDL4JWFA1Vgya7SpNdRVXBl12KCth0KvFGDwdbRy1NGoJvXTYlLhOmEQMIC5QJsnYMCOpbFDbneRmZ+iPF1WGMS51IUY1CXJjM8p1ZnDl+OFklXiqbMgkPtGM1TgSgya6RErsEVZNotZ9KcMAPB+1HVzbubGHCiCDa7D5MRrlDGuV95/3ByjO54rLziIlLPUgr/VNTUxPe3S8QERaAlPF7tD3PHXL7tTkbSIur63T9N9fcc0CNH0E4cS1cuJCHHnqI3bt3ExMTw2233YbT6eSxxx7jwNvBN998k1deeYVdu3ahqipxcXFMmzaNO++8k3HjxgH+3+lPPPEEL7/8MjU1NQwePJgnnniCBx98kIEDB7JgwYIOx66urua5557j66+/prCwEEVRSExMZPbs2fzud79j+PDhR/VaCMcGEawIgnBMKCgoIDw8nD179vDI/VcyfHAQGzIDmDlzJgsXLmTz/KsPuq/DrZL3UzFmWUVGI0CnEmbwoWqgAYeJcdrtjE7D4dbQSqqxyirJUxKJCNq/WH1T3jpCAhy0OEwoqozHM4ZRKUYCLDLNdhVZgkCrjNfnD5pMBv+Bi2t8+LQVNLVZGZowma2Fm0iKasRs9P2aS9Zu9Nk7+PyLhUycOLFH2jueLF68mDkDdnV7e7dXI6/SR3TY4g6v72p+gFmzZrVnBROL6wWhdxQWFjJ48GAeeeQRHnjggb7ujnAcEKmLBUE4JuzcuZMHHniAkpISKuqtXHH6LJ68bRQvvPACgYa2LvdxezXyKnzkrChmkMVJstlNktlDmMEfBMhS9wMVgGFVeQSVVxCQHoM9Lpbdq8s7PEn0qTKaOoMh8VNBg8Son2i0qwBYTRImo0Rds4LHp7UHKgADovQY5JnEhEzEYpIYkjCOsrqemapVU+/lmitPPyEDFbvdTpj9B7xe5fAb72UySASYJTy+jhnTguwP88bfp5K140cAEagIQg/Yvn07999/P1999RXLly/nlVdeYc6cOQQFBXH99df3dfeEfkRkAxMEodf9+PXfuHi2nvue3sikSZO49N6FbP7oWurXPdzl9hUNCk1bihlodoGVI5pW1ZW2kYNp2lBAi6JjRpqRzMUFDJiV3KH+xuQMf0BQ26yg16vUN89iVIr/ptegl9hT7qWycSczh3cun54U6f9Vqmka2WWbSIzsfp2YrlTXeXlzYSCycSBPP/vfX9XW8WpP5nqqjSdTUyIR0vYDw9OiCbB1zk70cwnhOrYXB3ZYu5IUZyEpDpZs/JKhI7vIXiAIwhGz2Wxs2rSJ//3vfzQ1NREcHMysWbN4/PHHD5r6WBB+CTENTBCEXvfaP89jWLqViWkTyM6vYnhGbJfbaZpGTrmPsPwCQvTdf6LeHdsj0xiapMdmPvRTdU3TqG9VCQvwp7fdmu8hMljGYpQIscmHXFujaRrVjQot7pWEBTp/cV8LShx4wp8iODiYkSNH/uJ2+ouvvvoKq9XK7KSd3dp+Q+46BsY2dHp94U8WrrrtU4xGY093URAEQfgFxDQwQRD6XFtbG0nhaUwZNBGdTjpooAKQvbSQuMK8Hg9Uch1mQgPlwwYq4P/FGRGkw7m3rEpIgEyITcZslA6bBECSJFrcq2i1T+s0FelIDEyysvK7B9prGZzIPB4P33z2P6ZFbzn8xnuFB4zH7e18/c85ycn3753Ghg0berKLgiAIQi8SwYogCL1i8Tev8o8nbmTDl49y2pSEw25vd6loGpjlnqtj0i4jkWCrhNurUdfSvUBoX2CTEq0nwNK9QAcgI3YWYwYaqKgP6vC6pvnTHLc6TDjdehS168DH7VF576tm8qsz+Mc//kFdXV23jttfbd26lZcfnIXZ1P3U1sE2ierGwC7fMxq8IuuQIAjCcUSsWREEoVcongbOm5ZBamz3fs2U1SmkW1290pf0slwaCvWUKjJtio6I01J65Tj7yLJEXOhEmls1ggN/AKC8PhirYSIBFhlV1WizQ6NjI1aTF6vJhdmosHyjl4rWCfzm3K3858NiHnlmcYd1NSea7Oxs9FVfQmhkt7bfUrCGsQOnEhGkY3e5Eadbj8XUMStbbu1ETrdae6O7giAIQi8QwYogCD1OURRaW5swRXdvGlNJrQ9bbiH0wlKCnPh05NxSPJpE4PBE4mxH5+Y/LkxHboUXRZXQyRoW/UQy4n8+OjCFTXmref2rZFwNPyEFzGT69NHU1K9j1NTfn9CByltvvcUFIysJGtK9QAVg7MCp7X+fkDaO7FIvCVFLOmxjCx1JccEOrIGxREZ2v21BEAShb4hpYIIg9Lg1a9YQO/BsNmdWHnZbl0fDtaOYqB6qSwJgV2Sa964Z0eeVMnROCmNOSyEtTk9UcPfWkqiqhqJquL0aOxYXUtusoGn+v+9ekk/WkgLyK30oyqGnrelkDa9PRv+z9S52h5un3t3Nm1+Fcv0NtxOXeg4vvfQSgYGBPPdhIhdccMEvO/l+wurNJyjA/Iv3L69XiAz9sdPrf/jDHyjbegtut/vXdE8QBEE4SsTIiiAIPW7GjBkAFMbH47F/itHY+VdNfqWPsECZynVFpJp77sax3qtnj8OCWfZPK3OqMqp2ZDVZqhoVGlpVdHtKMI4YwCCLk+ZteWSlDCTZ7GpfV6Pk7yFzl4XkaQMIsnZ+9hNkkSmoDCfEOpb0uI5B0rebXNz1p+dobW0mPDySBx9+wn/sqipef+P9X34B+omQsGjA+4v3T4nWsTIrgiFJ1UgSuDx6TAYfe5aOJ7/YTlhYWM91VhAEQeg1YmRFEIRe09jY2GWg4vZq1G0vx6toSIMSf3UdlQ40SDa70JJjqfYYCBsVT7O9+4v2a5oVyusVUktySbG4ic/bgyRBiF4hvTS3QwIAnQSDrU4KVhXTVRb46FAdE9MnkRFv6DSlK7eg1L9NdCx79uxpL1R44403/pKz7ncGjppLfaP9F+8vSRLj08ZQVO0PStxePRX1QWwviKOuUcJkOnzNFkEQBKHviWBFEIQec+ANu9frpS7zo07bNLap5CwvItHspr5FxXAkQx7dIEkQa/Iyui6fgWY3VY0qtesLu7VvTpkXz5YCRlTn0ax0P/VwjNFLboWvy4ClK06Xh8mzr8DpdOLz+Vi2bBlbt24VU5MOkJaWxvJtnWulHInVu3cSaBqHw2Ug2OYiLrwFh3MQFQ1BJ/R6IEEQhOOJCFYEQegRXq+XBx54AFVVyczM5Kf5f+TUSTHt73u8GlklXlo25DPY6iTC4CO1JJekwj091ofilHRkyR8wyNLewKWiBKcqU1zjxePtOphQVY2cci+h+QVEGf1Tj46k1kuYwUdMQR4FVd3bp6iimaFDhxIeHo5er+f0009nzJgx4mn/AbZt28ac8RG/eH9N07AYvRTV7sbpmoXdZfSPkAXIhNoyerCngiAIQm8Sa1YEQegRTqeTk0dms/nzPzIwMYyhk5I7vF9U4w9OpF68HzflFFGWmIKhogCbTgX8oyyxJi+7t5eRNCeZsjofrdtKADBIKjoJWlOSSC3Lx6D/5TVezLKGN7OYWmsykYdZxO/1qVgsFsCfOS09PR2Xy9UhWNn35N/tdre/7vV6MRi6X2/keKUoCm057xE8Jv4XtyFJEmNSxmJ3a0QF69iYF4AkaRiN20iMOHhhUkEQBOHYIkZWBEHoEZvXfcZJI09i/IhEwkJsnd73ZpX27NqULoTofYQHyRTFD+z0XorZxeY8L+7tRQTrfXg1iRqPgRafjsEVeRh6oBhlstmNfXMBZXWHzmw2MiOaN954g7a2Nl577TVUVeXGG29k8+bN+Hz+6WTl5eW89tpr3HLLLSiKf8TmRJkm9vnnnzN1dNyvbsdmltuzvw2Jn4jdZcSsH0NRcxvff/nOr25fEARB6H0iWBEEoUe0NJZgMnQdjfgUDWNvVKb/GbOs4dlZjPqzQ3lUCaOkkVheSKLZg6JJ6CWNwCGxpFudh21X0/xt+A5zCrIEcSYv3h1Fhw1Yzh3ZyBev3clvf/tbHnzwQQICAtA0DYPBgMfj4cMPP6Suro7Y2Fh0Oh0LFy5sX4Tfn9XV1TE7eU+PrympblIJsYxgVIqRiBAPbQ0lPdq+IAiC0Dv6/zefIAi9TlVVKorrD/q+3aVh03V/DcivMcDsZkR1XofXjLKGJIFbk9nUGoCiSaRZXAwqz0N/iHviao+BEpeRXXYr2/O8PPD+Nt7fVsfh1tHHmzyws4DsUi/qzyOnvVKTwjBbQzCZTNx5551cdtlljBs3jrKyMm69+Xr0jlzOGt7IxAHNvPryC/zw7YITYgpYcXExIUGWHm83PEgmPMj/lTd75GhiMk7u8WMIgiAIPU+sWRGEY5CmaQd9sux0OsnMzOTDDz8kLCyMBx54oM8zG+Xk5HDlnIOvA2h2qIQeEKzYFbl9TcnRFKBTiDR4iTN5DrttkcuEr6QJm+YlCiisb+L5ZZtg2Sa028/mqnExh9w/yugjtCiXXbstWIYlEB+uw2ra/3yotqGNjHHnIEkSsbGxxMb6r19CQgLnzojj/JP806BGDIJvNzZz1v33nRDBSm3BTzDqyPaxu1T2lPsYkWzoVHxzH5+iUd64mYSISeSX1DFu6rge6K0gCILQ28TIiiAcgw4WfGiaRl1dHcsXPMnDV4RzUmotf/7zn1HVo3/jf6CMjAx2F9Qe9H2XR8N0wDSwvghUAAJ0KgO6UYCyzqNDKWkiTHNjQsWASnyglYQgKwAeTTrs6AqAQfbXYUkqyKV8VSG5FV72lPv/LNvuZOT4zk/3NU0j0tYxmHKaBhM/YHD3TvI4pmkaOlf3p2dpmsauIg+F1QrBxSXYXSo+pesPxu0Fr0/H1sI1ZBY0Y7Vae6rbgiAIQi8SIyuCcIzx+Xzo9f5/mg0NDYSFhVFVVUVubi4TJkwgISEBX9AEXnh/HRefPRXlp5V8/PHHLF++nODAACqrq3n22b8THR3d6/3UNI2VK1dSlbOYy05J6HI7TdPwZJVCN+8Ns3PdxKVYCNYf/YDG4YPV2W5CzQYGav6gRgXK5ACSjG18ctN5NLW2khJgpchlIsXSvQXvkuSfnkZhLgBeFfbEnXuQbSVyK71M2/v/j722hYuvOfXXntpxwePxkBrXOTnDwUiSRGyYjspGlVC9j5pmlXRb50xsq7M3EhliJzXWhdM1hzx+Xf0WQRAE4egRIyuC0Ec8ns5Tkerq6rjlllt4/fXX2zM/bd++nRUrVpCamorRaOTf//43ixYt4t/vrCKpKJd7x8YhrX2Hu9JaueGsaH43IYz/vfpir/dfURQuv/xyTHXfcvnsqENORfNoMk0+HZrmn17V4jt4at/kgWbWFBto9Ha/KGNP0DTYWaQxwKShRQfhQEd1QiwqEi2SkaK4eEL0EokhQbhkI3Xlzm6NrnSloslBZGRkl++VlZVhNexfnJ+UnE5jYz0+n48ff/zxlx3wOGEymdjWPPaI9gkP0pEcpaPCbaR1ZxnfLCxn9XclHQp0Dk0ch9cnU1ITSkq0jhnDzFRUVHS7iKcgCILQd0SwIgh9xGg0dnrtww8/ZM+ePSxYsABVVfH5fLzx4qPU19cTFxeH3W4nKCiIzy5NpvzZC9BLYNWpnD86noHhVpIK9xBr9DLakcnZZ59NY2Njr/V/1bLP+d8D45g6+tC1MCRJYuxpyXiHp7HHaSZhegpFcSkHDUYsOo0zUt2UFrnYlKt2yuzVG5p9OrIdFhKVNvSo2KobCEsLJrqsEj0aw5UGEioqCNY8hOEhSnOSoLSxJv/I1gq5vQp3fJFH4BV/Z/LkyZ3e93g8BAQEMGveX5n/k5OFPxURZaxkyWf/5p1/3c6iRYt66pSPWeeccw4rtlR2a1tN0yivVyhdXUS61UWYwcfQiVEE630dgufQAJkg81QMeoVmh0ZkeCClu1f2+VovQRAE4fAkrRuPluLi4qioqDga/RGEE4qqqh3S0ba1taFpGtdeey0vvPAC//znP3n8t9Gcd+dC/vbUs9SUFbP1y9e5Z2bSIdvNT0rHu7uMLZl7GH7tX5kwYUKP9tvr9fLGU7/hpksnHvG+tc0Kjs0FxBi9h6y74lBkdhd4McYFkmJ2UenxB3dpFlenbcvdRmpLHIxK0x9RLRdNgyyHBUWTSCg/8t9xNZKFuIFWjLLKjgIVWdMYnSYfNMNYZbMT3UVPkpiY2K32PR4Pqqqi0+lYsWIFiYmJDBo06Ij7ebz5+I0nuGT64TOCOdwqW5eVkW51EqL3J3Co8+rZ2Wbj9LM7B9GaprF1cTG2YfE0NDQyau5D2Gzdn3YmCIJ/VF1RlC4fuAnCkdqXZOZQcYYYWRGEPtTW1kZra2v7/wcEBBAYGEhUVBSffPIJkZGRfLu2ir9fOIJrrr2O795+/rCBCkBgXhENXh3njh3AK6+8QkVRbo/2e8OGDVx74ZFnU6ptVrBvLiTWdOhABUAnaVjjbRjKGygucBFaUoVL3f8rS9PArUrsdljwFTcSq9rZlqeQ5zR32Z6mgUvteNBWRYeuvOkXBSoAUZqTskInVR4jOk0lQPOQ47BQ4e6ctau4wcFPxrHdDlTAP/pmNpsxGAzMmTPnhAhUABRLymG3qV6eg0EnMWFOAnXe/dfbJKmkju28Xsvr09i2uIh0i7+uzpQRURQWFh60fTFFTBA60zSNmZPGEhYSTEFBQV93RzhBiGBFEPrIhg0bKCoqwmaztWfzqqio4IknnuCu80IYEZbHFKmA8PAI6rwGVv9+Ks+e172MUFFGLxlWF2ZZ5T/TJK7+7fU4HI4e67vX6+WKe+fz47ruB0G1zQrVG4q7lTZYUTW+W1tF5Z4azEnBhKhu7Ohp8ulQNfBp8N22Vv7+xW4seSUEal4MaKQPNKAvrW8PFjRNa7/p3Jynkpnvo9RlJN9ppsRl5JUfCliTueeg/fgiq5QX1u6mze3t8v3MmibeXbGRso05WFAwoxJbVomjuIVyd8enjn9a4+KqW+7u5tU6cWmaRpBry2G3C52WQdayQgz6jpnZbDqVZofKjsWFZC4uaC/OWVTjI8XsplXRERnkn4LoaDj4zZbL5cLn87X3SRAEuH7euWTlFTF+5FBmz5yO03n4orqC8GuJYEUQjgJVVXG5XHg8nvYbn8xdO7jiiisoLS1FlmV8Ph9fffUV9fX1ZKREMiApkYHBYDFJDLY5MR9hBfgIg699OtL8eSncd999PXY+s2bN4oY7/8ZdzyxH0zRcLi+L1xVR06zg8vj72dim4vZqeHwatc0Km/O8DOxiCldXJOD0CRGcPDoIWfHgQ8KKj6jqWpYX6Jm/soaLX/yYv369ksdX7KRe8o+mePIa0GsaNUV2Hvk2h7l//5Hnvi9jcZ6O4HgrKWorcnE9wSVVvDR/NU8vXM5tC9ezpqSmUx9WF9dw28L1PPnTLh5fsbPT+6qmMe/Dn3huTTaXfPgTUYqdIM0fiIVpblqLWylp8d/sri1p4YMPPjghKtD/Wrm5uZw26fCZ7NxeFW9KArvLfEQbvTR6dZS4jMgSDK/KY5DFyQCzm9otpQCkxeopcZto8ukJDfD/w3DZm7tsu62tjQ0bNrRn5fv264976OwE4fi1evVqPvjqe+65/gpuvvwCjAYDZ50yQwTzQq8T35yC0Iv2/RKXZRmz2YzRaERVVRRFYfqMmcyePbt9O51Ox8SJE4mz+G+cY8J0tPr0pFYUEPwrq78HWYycbirg+uuv/3UndIC5c+eyZet2Pt81gKcXONjdlArb8ihfmU/2kgJaN+ZTuKKAguUFaNvyOMlZcMhq8fs0+XS4FBWL0f/022aQUJLCkYEQzU2K0kKIuwn1gC/IfF0wpXFxeJAJGBhMlObk1a/X81N2AfWKkzSlmfDSKgAsKMhAY2vrQUdMgCNa+9KVKM3JsrxGGuxuvqsOwGQy/boGTxC5m79Erz90JriSWh8Fq0oILy1mYHEuQXoFdWQacSYPigZ5TjOFLhNlKWmMPjUZ8M+LTpg8gJAxA9oX1tdW5HTZ/tatW4mNjaWhoYHP3v8zAc7nKS0t7dHzFITjSXV1NeecdSZXnjuXQQMHYNDr+cP1V7AlM4dbr7yor7sn9HOizoog9KK6ujoiIyNZsmQJQ4YMIT4+Hp1Ox7Jly1BVlcI9W3n00Ucxm8289NJLZGRk8PcChZpmhaoGhTSzu9MNfpvLx8JshZlDArDoVEIN3QtkTh0WR3hxA4/deBHz/vA3hgwZ8qvPz2AwoKoqt0UW0qarJUSvtC907i5FA6cqE6BTafTq2FWsEhljoay8haKiZsbFR5Ck+uti6NEI1jxMTYripXMmUdps59qxqQT4qmmsNLFbH8rIgnrMEnx8+Ul8t6ecuUFGgvF1Ou6DM0cQF2glMdjG1KSoTu///Bg/J0tS+zHOyIhH7iK6GenzsipgGk+/dPMRXZMTmaYdvL6OomjodBLN20oI0Kl4VJkshwXzkAS0zcW4dEZiDB5UYNiczp9ZWKCM3aWiaRqSJDE0XsPhcHQoEKmqKsW7FqGrW02JfQInDd2GqlqoaWo6ovVGgtBf+Hw+Zs+YytC0FObOnNL+enhIMHdfexlPvfw2N2zaxPjx4/uwl0J/JrKBCUIv0TSN2tpajEYj06ZNY+PGjaxduxabzcarr75KVVUVrc213HXVRDZnlnP1bU/w+gPXc9PUAXhskQwwu7uc+lXv1bHLbiXF7Ka+1ImExuj0I3vusDKvlqrEWVz821swm7tekH4knrz3VurydzIo0srw+DDGJQYedh+fBqUuE/U+PVS1Mj5dpt6rp8ZjILqsY+raMjmACNWJmYMHQhqgIqHj2JmSoKga8t3PExcX1/7avhtloWtr1qxhSsT6Tq83tqnsWVVKkF5BQkMCHKqMOymOgNJyQscOwGaS2L2qlORJCcSEdj06s2ZRCRPmJGLY+xRg4Zp6Tjr/jwQHB1NfX8/qhf/kjEnhlNWptDjXEx/pnyr2r/cDefwfC3rtvAXhWHXeqTPZmpnDE3+8DbOpcwawLxev4PuV68jek0d4eHgf9FA4nolsYILQhyRJIioqis2bN2Oz2Xj33Xe58sormTdvHgZnPq89fAr1lTWk+mQevGEyT/3pLobFBJISGcggq+uga1Tyin3E19RQ5TFiQMWOgTblyP4pZyTFElC0Gp/PR3NzMx6Ph9zcXJ579mm++uyTg2Z5OXDBOvhvLOfPn0/6pNlETz6XPYEj0XcxivFzdkVmQz60lLUxsKIcVZJo9ukI0/u6nH7ljg6hSe44jcqFTEXC/iBAgmMqUAHQyRIbvpjf/v+qqvLUU0/1YY+OfQZDx0xqzXaVHYUemjfkk2p2kmpxEWv04Nb8P/MjagvIsLrQ7cyncl0RQUNjaXWq1LUoeH2dfx6mnJ5Iq1PD7fW/d87UcHw5L7L2k99D/sucOy0Sg14mJUaPyTARRfH/QA4fNgCgPRmGIJwIFixYwOJV6/njDVd2GagAnDvnJFIS45k9YwqK8uumLAtCV8TIiiAcBXV1ddx8883cdFYkp033p5/NrfAyoDCXfKeZgTNT2F3mJaM8D90hHrq3+HSUuo3EllVSlRBLQ6WLyDgTwXqFGOPB11/s41Bkfiw2EqvYWRM+jN///vfIskxNTQ1z5szhpzsnYZY1ChucrAk9BZvNRmnOToZPnM4pp5yCXq/n7rvv5qRBMcy95k7MZjN33nknT41x4VM0dLKExdh5lGd9SwAWWWVkgANVg+UFeiJUByCRoNopkIPwRAWhIpFcVYkVHxr+AATAi4yMRk18DGadRkhJFW2SgT0RcYyqLUF/jAUpB9rR5GLEn1/pMLoiHNyOHTsYYV6Kpmm0uTRaHRrszKdN0VHmNjLM6iDUoOAdNxjD5t2d9q/yGChzm4gzumlLTSbEJpEQsf9nMnNxAS5VxjY0nsGJnVNMH6jNqVJSv5KoEDstqokVOy7krLPOIjo6msbGRkJCQsQomdBv5eTkMGb0KG6/6mImjR5+yG3tThd/euZFpo0fxSffLj1KPRT6AzGyIgh9TFX98+NXrVpFecG29kAFIDJIR6HTRKBOobZZwbun4rD/IFsVHZbyegDMskqbZCTW6O1WoAL+aveDYyHB18xFF12ELMuUlZXx17/+laCgIFZtbWR9vkRKmJWr5HVc4FzKTTEV/O/Pt3PtvPOoqqpiTlAN59qKKH3pBrKzs7n77rspqWsjwGzoMlABGGp1EL23jxUeI2lKMwmqgwTVDoARhSSTm3EBbdTJ/mlpB94CGlDRoRFZXkVoiX+hfL4uiIi6elzSsb30bmSImQ0P3cAP77xKdXHP1rvpj0JDQ1FVleylheSvLKahTSVc7yPB5Ga4zdG+RqurQAXAqchEGzyE6hUMuSU0bN2/ML6mSSFApzDI6sTj0/Aphw5ybWYJSZsKQJDs5pzRH/LNB7/l7bffJjg4WAQqQr/V1tbGqSfP5NTpkw4bqADYLGb+eONVfL1sFd98881R6KFwIhHBiiD0IlmWkSSJM888k/HTzmDcZe/i8/lvtkICZJSMJKKMXpQdBTjjY9AAj3rwG6BYowdPQjhlsr/qdnKsjKwdftoVQKnLyOZcFYci0+bxodfrqaio4IwzziAvL48zzzyT7cUV+CIDaVZ0uFWJKo8BWW9AQ+N/5yZQVVXF/3Y6cXp8pEYF0fzV0wQHB7Mgt2NKYlWDMtf+KQOBerU9WAE4cCKNCpjjAwnWedmUrxCU0HVF8YoWBzUtdkxpYUjAKF89A7Q2AjR/u21uL3vqWg6aRlPTNPbUtWD3HPx6VbQ4qGg5eD2aX3qMSVE2RmQtZufjd7Fo0SKR6vMQ4uPj+WZVGRIw1OYkoywXSQK9RLeSN6RY3CSaPVh0KikWN6ahCTjd/utdtbGESKMXo6yRUZ5HQdWh/+1IkkREkExDq6X9tXNm+piZ9ja5uV0HntXV1d0/WUE4BmmaxtxZ0wgKsHHFOad1e7+kuBhuvvwCLp13iSgYKfQoEawIQg9ra2sDoKWlpf01nU7HGWecQUJCAlnLisgpc5Nf6cOg92fDMsogyRKyBPWD0g/atizBYKsTY3wQiiYx2OokwHDw4MajaBS2yfxnTTnrVu8hRW0hvryCzCY38+fP59MX/0FTST6bV68kf8GbXDc8nsFVpeQVetlWoOIrbOTWV1fzY3Y1dq/CK6+8gsViaR9BGRtj5o477sAcFoPHp+BTVNbkSSwtMOBQZYpcHdeZvL64BHdxM0Ha/sDFjY7lu4opaPLx2GdLMOSVdzqPlUXVTHr5Oya9/B1LlmQDHUde2txeTnljMbP+9wMPL93e5bV4eOl2Zv3vB07+3w9dBiwHHmNlUecbzp44RkNLG7ddfRl/u/ni9p8ToSNZliloG0BqN2vyHE5yYS455V52Li5g6CnJFA/w//uq8hhwZB4+HXFksA6fd3rHwpMWHUu/+L8uC+JFRXXOLCcIx5N9hR/vvvYydLpDpxH/uenjR3PShNGiYKTQo0SwIgg9yOfzj1i43W5+/PFHSkpKeOWVV1AUhfHjx3PPPffwdoGRU656Hs+uIvSyhAaEG3yMqPM/iYrNPXhF9X1aKhzEGA9dCb7Bq+e5r/OZ/dB73PP6d2wr2j8fNEDn7+vawgrKWpzUttpZUei/QZeBgWoL6UozVnyszSuh0e5k9J8+5fvvv+eyKJn1eRpuVUKWJC5Jlbl7OPx5YTF3f5ZPRJyJ6ck+Gipc1JU68WngVaHMZWB7eS2hmrtDPy0ovPvtBr7LrGJVbgnlXYxsbKlqwmLQoWgaG8rqO71f0eqkbO9++87j55YX+qePlbU4ujzG+rI6FE3r9WMU1jWzdO0Wfnj2d5SXdw7MBAgODu6xtiQJBlXkEaBT2fNjIYlFef7XAbfava/ApEgd1U0dM9xdPMfOd2/exUfv/o2Swh0HHE9MDROOXwcWfgwJOnxWx65cfcGZv6pg5KOPPookSR3+xMTEAOD1ernvvvsYMWIENpuNuLg4fvOb34h11f2cCFYEoQfp9XrMZjOyLHPWWWeRn5/P+vXr+fOf/8wjjzxCXFwcY8eOZXCUDV9qHA63yr7nVhZd93+pT0yTCNQfPCtRlcdAXrGXs+KsJARZmJgQzhWjUtrfb7Y72LRpE8nJyZw2egipYYE8OGtEl209NGskNoOe01NjWHvZBCbbfESoLrYVqDhVmRFxIQA8dl4q84bEU+o2UeAyExRrQYdKjcfIW5trOO2h9xgf0fUUr1vHp/Lu16u5blwa6eGdvyDPG5bMyNiwTuexT3p4INeNSzvseaSGBR70GFeMTGFiQnivHuPs8SP446Wn4mxqJajJTvkHD/PVS3/F7XZ30dqJyel0MrDk+x5tUydBvMlDmsWFcW+WPRWJwKHx3do/wCKjY3J7ZjDwByVDhtQQF5TF5x/9s0f7Kwh94eeFH3+pnigYOWzYMCorK9v/7Ny5EwCHw8GWLVt4+OGH2bJlCwsWLGDPnj2ce+65v7i/wrFPZAMThF5y2223kZmZSW1tLddeMp3vv1nFlJEZbClrpaC0giW3jqdF73+CPNDSszerW3IVgjQPYVrndh3o+efWUs79w8PoF7zIvyrg1WGHrrVy85dreeW8/cXA3Mg0yibCBgQQY/RS6DShAcEl1TjQY9ubvrhOMiMBYZoL8bwZ6iUTZZExjKopBvzXJyQ5kIKKOsxn3sOkSZP6uId97/1n7ufiyM4jWz2tzqvHnpFCetyhM4Lto6gaWwvWkxzT0P6ax6vD6ZpNZeN65i/S8+J/PxQjK8JxyefzMXroIEKCArnrt5f2yM/xrj35PPXy26xaveaICkY++uijfPHFF2zbtq1b22/cuJGJEydSXFxMUlLSL+yt0FdENjBBOEp8Ph8+n699yLu0tJSoqCgCAwMxGAw89NTbzL95BmeeP5lnzh/K/H/9Fp3ZxkCLu8cDFQANqctABWBTjZlzMuLIyspCqTdSmp9PY/fW6Lcrj4tDjg8h2uCl3G3EXdpCSEk1ErQHKtWShQjNRbgIVNqFa24G1+xfJxGhuagrbiMtPpySxe902La1tbXDFIoTYfTF5/MR6yw5KseKMPjwZJZ2e5qKTpYItY2nvsVf7d7uOI0dhbFEh8gUlXl55h//E4GKcNy66IzZtLTZueWKC3vs53h4RiqXnDGbM08/lfr6I3sAkZubS1xcHCkpKVx22WWHXLDf3NyMJEmEhIT8yh4LxyoRrAjCr+D1elm3bh0rV67kP//5D21tbfzpT3/i+eefJzg4GFNjMVOnTuX0008n9rY3CLRIJE5NZmSKkXpf957oHqkqjwHjzyq9V8g2iuRASuUA0qIV/r2pFKvVik7TmCbBF2FjKJCDun2MxIoKHOVt7HZY8BY3EaV1XEipAWp8SA+cTf9jouP0vRjVSUmRmzHWJtauWAb4v3wfffTR9i/4+fPn8/rrr+N2u/t1JrHMzEymJXU9VbAnfSunoGmQaHaTtaSw2/slR+loaJ6CqoFPgYy4oZTWKcQM+h02m61ffzZC/7Vr1y6+W7GGO6+7EklvwK1oPfbn9JNnkBAbw+XnnUlLS0uHPwd7ADNp0iTeeecdvv/+e1577TWqqqqYOnVqlwGPy+Xi/vvv54orriAoqPvfYcLx5dguUCAIx7CysjIcDgf19fVIksQLL7xAYGAgjY2NmH1lPP/pp9xwww3cdNNNPHXvLcx/+Te0FhXSYEkl0CojDUqEkp6vuyEBBaFRxNUXogEr6oKJq6sjtLUFGWgyGLjEoGf8R/PRJIlbYmLQliymKTCQXcNjGaw0HrLIoheJHF0IZhRkSSNI8y/0r02MwaPKaJXNeGJCGVhW1uPn1l8Fah4CAwOpWvJvPvz+TZLPuY158+ahqirr1q3Dbrdz5pln8pe//AWLxcJDDz3U113ucZqmUfj5cwwe0DtB/IGCbBLeZgmzrBExfgC5FV7SYvWHfKLc5lQprFYIDVqHLEFw4A/t7zW5puP1ejEYer/vgtDTWltbCTBaCGsw427o+SyFKQEx5LU2dEqc8cgjj/Doo4922v6MM85o//uIESOYMmUKqampvP322/zhD39of8/r9XLZZZehqiovvfRSj/dbOHaIYEUQfqGEhAQAUlJScDqdPPTQQ1RXV5Obm8tjd5zKvRMTSL3zr8THx7N4Sy7h7iDuOW0IzT4Nt1cjMUJH6R4jieZDZ/XqDq8qsTPfhx6NgAQToxr8dSokYHpEC6u1cJwmIwl1ddhUlRFWKzVjB2DBhwTY9zRjGRRCnGpHd5hq8Ho0WiUjSfEaLaWt7a9HllZRGh/nzyZWIQKVIxGuuSkoNDIhPYoJwPLv/sV3LbHEx8dTVVXF+eefz4ABA9i+fTujR4/u6+72ioKCAk5LPLI0qb9UXJgOQ4v/5zw0KweTIlNuTOtQ6f5Aa3ZvRJI0kqMb0Os6J7Yo3HIfFsvzjBkzplf7LQi9RQIMhy9j9IvoVP+C+ZUrV3Z43WQyHWSPjmw2GyNGjOhQ28jr9TJv3jwKCwtZtmyZGFXp58Q0MEH4lQwGA6tWreKFF15g3bp1TMwwMKExHxmJzY/P48477+THW8fywvJ8kh/4msIKB+sWl1HZqLRnJvo1fBpsKVBJUlupq67kd899wd2frcDh9a8dMaAxLbINCXAqCncV53L5lo3s3liAHo1wzUVCuplUpYUwzc0rG3OZ/Or3vLRx/xeDdMCqk51Vjfz59fd44D9fE+Zu7tCXxPIKQt3NXLdgDbPfWMyOqsYu+/zqxj1Mf3URr27sOk3zjqpGZr+xmOsWrGk/jwM5vL5+d4wms0KVx/9kflZKEE+PsrNj5Q88++yzzJgxA1mWef311ykrK+uX041yfvgAndz7X0m5DjPe7FIOHETRSxq+Q9yoRQSOJj2+DoNepavBF6c6RAQqgnAIOp2OoKCgDn+6G6y43W6ys7OJjY0F9gcqubm5LFmyhPDw8N7sunAMEMGKIACK8useKb355pv84/dTeO2hafxuTAr1Xj2BOoW0MBO1/74Ux6hhFD1xNk/few7nX/80mzdvZEBhLq2pyQDtBedcqkSt58gGPEtdJjwRQbQNiOa/qzNZllfOotwKluVXtW/TKhlQZJllTU3UORzk1zbyeVk+TXltlMiB1MhWWiQDThX++uMOShpbeeLHHSiqv2PaAaMt/1mXQ2Z1EwsyizscY5+l+VUsyq0gu7aZ/6zL6fS+omr85ccdFDS28ZcDjnGg/6zLIbu2udN59Odj/PeDZTQXtXb4/O+ZGMKaNWvYtWsXVVVVPPzww7z00kv9ciG3pyyr14+hatAUH49Pk3Aq+7/+jLJG7bYySus6B5RldT7M5uUHbbO8ysXIyTf0RncF4YT0xz/+kRUrVlBYWMj69eu5+OKLaWlp4ZprrsHn83HxxRezadMm3n//fRRFoaqqiqqqKjyeXz9LQTg2iWBFEPBXzf6lvF4ver2eQJsZjxdcqky4wYdB1vBp/kDEnJnH1ohU0tIGkvXctUxKDgMgtigfuyKzMTSVirR0TJJGhOHgqbm8qsTKSpU2j0auw0zmHg9NPj1Dq0sJKq5m2oBIAGxGPcOjQ9r3C9PcDEjWE5GQQHGlP/XqaUmhaHtHTDw5jewuldhjjGBMgr8C95iEKJp1nVMaH+wY+4yIDsG2t8L9vm0PpJMlJiVEADApIQKd3PnG+0Q9RqTmoqzYjW9v3JMWHYR+2b+JX/UPXrprHjcmNLDoqVvZsWNHp7aOZ6qqEn+YIqc9QZZgXEM+Q61OzPL+6VzNPh0RoxNI/Nk0MI9Po6JxM1aTF02Doqow7K6O61LiY8xkZ2f3et8F4URRVlbG5ZdfzqBBg7jwwgsxGo2sW7eOAQMGUFZWxldffUVZWRmjR48mNja2/c+aNWv6uutCLxF1VgShBwwcOJCcr2/j3dc38NJPBdw6JpCrpqaxtdVGgslFpFFht8NMyrRkqpoUkgpyUfEXq/OpsC0ilfjKEqKNXrq4523XpsisynSgt1hRZT1pcRJyaQMBmrf9yUNhYxvBZgNhlo5D7OvLTEQnGSnfVYcWZySsVsVuNhPa2kptcDCxDY2Ahjo8Am9dFfVtoQSkhzLCV8/NX6zl1fP311k52DH2aXC6aXZ5SQkN6PJ9j6JS2NBKSlggRl3XgeKJegwVaE6KIdXi6nJ7AI9P4b5Fxfx7/qJ+sai7OGsrwSufx2Lsm2WUuYlpJITrCbbt/wyb2lTK631UN6mMGLiMivpgmu1mLCYvKQfUWgH436ct3Pf4un454iX0f2vXruXsU0/nX1fe0SvtL9y6BtOgBN59991eaV84vok6K4JwlMyZM4czbnwNe8oM/vWvf7G2qImi5HRix8VTneivhh6oUyleXURIbgFORWZ98ECafTr0MoyuzyfWdOhABSBApzJ3pJkASSU1TsarSWiJYTRJ+2+EU0IDCLOYOi2TH5KokaC2EWI0MDrUyNB0HREDzLiMJqxuNxIaLpOJ2nIVpcHGhBSNDF+Tf6H+z/q17xgHE2YxHfQGH8CokxkUGXzQG/wT+Rgy0Fp26Iw8Rr2O584eyCsP3NQvRlnyd2zss0BF06CmSaWsbv9U0OIaHzmVG5D1axmZugxJgrjwZsxGH7Kkddi3sc1C+pAkWpvEAz1BEITeIIIVQegBTzzxBB5dNB6Ph7/efjX/uWI8iYW5lNQoRJb6q5XHmzxkWF0E6xXKPEbGpxmx7503rz/CB7KBmhuLrKCVNRNcUt2pAGRdYgyLQ9M6vBakedCjMSxNJkDzAuDNrCM03UZsqgWX0UjQ4GAmJbhJHmSmWrZippfSwwiHZNN8FLkOv/j0xqF6QpY9zWcPXsnf7ruLkpKjU1Cxp6VPO4NWZ9/MN1eAEJvM4AR/sFRa66PRsZ6kyCbsThP1vjgKq8Kwu4xEx+uJjDdQ74sjuySKOm88qioxZaxEdZ2jT/ovCILQ34lgRRAOw+XqPB1H0zRKS0uprKwEICwsjPvvv5/o6GgCLEZUzT/Fa2JTPtFGb6f9bbJCUY2C6RdmAxuWbqKuxEGg1vkGTwXCSquY3ljIruikDu8V7+j4xD50aDCNuXYKS1X0ioJtbxBjQsGm+SiVAyiRA3CjQ1U7p2wVeke45sJV0kKz7/CpfKODrZydZuXewQ70Xz7Iv+67+bjMFtZXU6j0EgyuzCOn3L9WzO72r+Rye/WExxpIH9DCqFFeNGsoCTF2EqIdpA9oYdoUB4NSmkkbLLN05yiMRmOf9F8QBKG/E8GKIByEz+e/eTGbOy4y1zQNSZJITExsT6UoSRIjR45k/PjxhAdZDzudSxmaQnhhIUG6jovp3erhb9icin+bqAHW9gXyHdpAR3NiNNqAcIZVd3zSPmDk/ulGu3RhtO1sILylGUNyEDUhoQTvDX42VJgpz3VhWV+MvKUCyWCk2XPwhf9NkrhR62lRmpO8Qi/eI4gRwwPMXJ/mZcvSL3ukD0cj6FEUhR2vP0CAue/W3rQpOhzZ5fgUjbRYPT5FJsDiobHFhNOtQ6/XGBBnb58O2dK2v692p5708B00Nnad3loQBEH4dUSwIggH8Pl8uN1uqqqqKC4upqKiAofDQVFRUfuNmyRJbNq0qcN+mqbx8MMP8+yzz3L15JTDph9OKtizN2NYx9frvIe/YdtWoNHg1dOm6GhqaeHvqzJZWVTd/r4FhRZFj6+kCUVVeXNLHm9uycO3d2TEi4QTHUGaB2VULN9FWvjgixUkBdTjRsaNTKDDQUyjfxFxU2srJcU1fFbQ0GV/tuRrvLqlgGe3llFG5+xhACuLqvn7qkwqWrqeKlPR4uh0HgfydXEeJ8IxwjQXbcqRFUo06nV413+E3W4/ov26cjRGO/I2r2ROctc/N0eLBCRMTESvk9DrpPb1XrGWMtZtsPHzmK2y1tL+9wCrj9goPVtW//VXp0AXBEEQOhMV7AXhAHq9noaGBlwuF2FhYWzevJl169axfPlyXnjhBSIjIwkLCyM9Pb3Dfk888QTu3DWcMyqJiSnJwP5RiMyKZtJiQro15SvedPh5+wMHGChwGYk0+Lhu4Xo2lNWjkyTW33IGcUFWABIrypGBN7cV8ODibe37Xjs2jWbJRG65REiiHkNjDX/+8GtUTWN7dTX/uukiPPlNJDTuD0zuy/x/9s47zK6yWtzvLqfX6b3PpJJGKr3bEAVsKBdRuVYseNGfDRULIlivFxVBEUQpioCVLiSUZNL7JNN7P72XvffvjzOZZDJnkkmZNPb7PPNAdlvf2nufc771rbabpmCQb/3jNc6ruAa3y0EUmX1OnX+EWvjN8+sAMGkqnz97YuhZfzDKh/78Goqm8VrXME9ff8kknT4zhR77eDiLHm8GGU9cfykBRcYuKZMM20OxpNTO6rs/zqpb7z2mzs7RaJS+vj4Cg0388eEHOW/VUt763s8d127Ru9b8m+qT3NMtpEgUWzM3OJXWkMY+q9GEgbJKbUKBic4+OyAQT0iYTRnjxGxKo9qX0tvbS1VV1Ykevo6Ojs4Zje5Z0dE5iMLCQiorK9m1axeNjY1cuzTMli1b6OnpYdOmTXzrW9/i7rvv5rHHHhtfSa2srOTO9y6jOyLwqUc28eSmTPjVH7aM8q6fPEdf/PiFuBQZU+TICo6u7Kv3cOgPtl1Lsbw0zlzFPyGBXlJVHFu6KRsZyRJclrFNrFqKnu40UUHGsqEbaXMfpn7//msz/SRpZUyKBqgH/P+IaJn6pDcZMhpDSQOtsSO/JxdV27jh7efj9Wb3iB2OwcFBtv/729Rr/2TNM3/grBXvoLmlhZ///OdHdb1sqKqK1dty3K53tOQbUowEM5+FSELDMrZoMOB10dqy/7ObTIms6ZnDBk89a7vOJ5EU8fqNrG1fQYH8GpWVlVmvr6Ojo6Nz9OieFR2dg0gkEkSjUWbPno3H4+F3L67h7Rc0cPfdd/Pud7+bvXv38sd3uNnT/iR/+5uRq6++mtWrVxM6+1yu+foV9Pb28tBDD/GzX28jlUpRVlyIty9ObcPRrw281KQQMdlZVZ7CKGrEewJowK/ftYpHtnWwojxv0io+wA2Layf9/4EGin/YzN3XvY32nl7eLueiCmKmTvEBcS93nzWf25v2UFNUSJnTQqI/jFEzMeJ2w6w8rrDbMaZTRE1mPrB4oqcAoNRp5ZH3n8/6Xg8fWlSDRsbw2dkBs2skeiQ7X7n6cv72n+2clZeHuyPKTouVs+qF8WOz6XEoGdk4mnt1KshoGOjFW1lMIC3hko8szMiQDLPtns8x75M/paioaNrnJRIJtr/wM65YWcq2PX3sHHRy//c+iiQd307toVCI+vyTb5zKgkZ67NYOeBXQzgVepLBUItACkZhEZ+pS5theoMRpZSgcxWaX6eq3IQAV4jr2+kXC4TAOh+NkqqKjc9pz++23853vfGfCtqKiIgYHB4FM2PV3vvMd7rvvPnw+HytXruSXv/wl8+fPPxnD1TkB6E0hdd70hMNhLBYLwWAQWZYRRRFJkojH42zcuJHR0VG++qX/4fYvvJ3nNkf54UqRYldmInrrU7vYETBQU1NDy+Y3+NENF1FiFQj1xlBLHCTSKjV2DZdh+lnSmgbetMzuLpWKMhkFEU3TUBEQ0fD3xZCK7VT292f1gEyXQdGKb0+QtCRRWG+lvyNBxchI1mMf9fmICyJvqatjVq3I7k6NVH0BJZvbEDWNwNlVKC0+omYT55RO3cwQoEN0YteSeEUztUqAFslNwbpWQitriDYHKPZ5CZstdJSUkJYkzsqLU6K+ucvCNhVXYBgJkkDigvrpv0sf+tWLPPKZy+nwROmY/1/U1NTQ0NCAJB06D2bXrl184AMf4K5bLiTqugSLxcI73/nOCcdEo1Gs1skG2ZHw4Fdu4INzTm6+yj7aYybmXF6HomiMBlW8kdeQJBVZUvErRfiEBSwrf52NfedjMArIgZ1IRQuI9uwilZbwes2878N3Icv6GqDO6cWp1hTy9ttv54knnuDFF18c3yZJEgUFBQDcdddd3HHHHTz44IPMmjWL73//+6xZs4a9e/fqiwWnIdNpCql/q+q8qVm3bh033XQTDz30EA6Hg4KCAlwuF4qiEI1GKSsr43//93958ctvp+LyebzbsROraf/H5q6r57OlVeVr/3yF4ZhIjcfPkM+CpdJFhSlBX8LI5m6F8hIzJaYkdunQE01Ng91RC4G0TENljIgiktM9tpoE9JeVUq0G2ZTK5VCR8WkEpKy1wvbT05XCnU5TEAgQ3h7FZjDgWF5AaMNEgyVqMlFY48bn87KoVqNXNKPIKerW7kYYG5en1U/aIB/WUAGoUYPEkYhpMjIa4a4IrpWViKioY2XUNAGKi0Q8fQnM2ps7aVmtzaeuvY8B0YZUbAemlzgfUwT8YdgUsrEkF2oGn8TfnuCvD8QYtVUyq6yQwajC+z55KybTxJ4uOTk5bNu2jUQiMaVBcqyGymh3K5eUnBrlsCOKSKK2AgBJEijKkUikzyOWeg2nNYGTbhJ9EfqNNhYWriXXlaCz386wCu2JchrEHZx/xY91Q0VH5zghyzLFxcWTtmuaxs9//nO+8Y1vcO211wLw0EMPUVRUxCOPPMInP/nJEz1UnROAnrOi86bm0UcfGS85PHv2bHJzc5Ekie7ublavXs2PfvQjRkZGqHCKsH7PuKGSUgU2tqhsbVVxa0n+/I6zWfOexQAUqTGSqkBcFak0J3GrSSJ9YdLa1KZDKC2iadAaMxMZiBIcTdDSreCQ9k/UBaCsrx8RWDLSdUi9WiU3XuHQTQWXVKQJ2WyogoA9Hic3FJpkqAAErTaKTCKRZKYHS7EapbxSZiAvb3xckqqyrGJyP5mpMKNQqYYJCEbkaheelggFapz0rALiBgOOWAxtzyi1pRrugxpevtkQ2kcxopISRBbYJnqYlEP4xQeSRqxaCseAh9FU5r11W028e66bmyqDXCC18j5HB9t//GGe+e2P6OnpQVEUkskkoVAISZKO2SCZikgkwvoHvz/uoTzZ9CRMLKqdWH67skBG4nyG/Jly3+4CMzlSP56BGGsbrZQWRBgdSlJd6CAeV9m9e/fJGLqOzhlJS0sLpaWl1NTUcN1119He3g5AR0cHg4ODvOUtbxk/1mQycdFFF/HGG2+crOHqzDC6saLzpuVb3/oW5881UpDrHu+pso/c3FwuueQSZFnmqx9dMWFfTBHZ0q5SowapVYPkaVmaRgJxVaQvYWRxvYSKQHfcxIZWlU0tCqG0yGDSQEvUzPawlf72KK0xM2KvlyolSLkaoUEJIHdkD8uSyT5LjVQVAiCgoRzm4y2hIaoawgGRoIogkBYnnlfk8xLtV+gcTrGzVcMrmClVo9TWGYiurCK6soqcBhtB4ciLCIQFI87tPYiaRmuHQuXaPZhTGaPHHQ4z2ho9plC3MwmDpmI8qKLcQMJIRJn6OQsC5Gtx+rvixKfo4bOw1MmlUjOJv36Tv3/zQ2zbto3Zs2cf17EfiKZp/OWr13FZxcnrq3IwVlEhmZ78maovlanIPZ+Wvnzc4gCypJHniKIZ7Wzenc8FDeuIRhTOWaUhRn5JIvHmNqx1Tl80ICXNzJ8iZvopBYPBCX9TfV5WrlzJH/7wB5577jnuv/9+BgcHOffcc/F4PON5Kwfn4B2Y06Jz5qH7rHXelKiqytmJnVxuyKe2NMDdd9/NF77wBWw2G5AxVgB+85vf0NLSwqO//DIfXFxIX0xgIG2lUpmcL5JUVDq8IWpyHeT3DOIRzNi1FNvLinCUqeT09LM1pFAlpensyMWpJXFoCnlkQmGCosZQnpOm7gCrrJGspsaBMozS5CNsXcN0+MLkmZPkWrI3avREEwQTKQx5xRT6+8ZDuQZy84jMKUZIJ+E/W6myWjCIIgJQlUpCOEJuKEhvh4zHFUU025htye5N2SejJseedf9+PVS8Z+US6EiSX2OB0dHxYwaDQQRNY2eri8IGK4Va7KhkVOU6CMo2crX4eNWxqCDT0ZFmMBhidoMVo82BiIZDS+LQUkcsY6rnAdDhC+M0GcizZvd0HU5GSlFp94VxLyoG9hvGu1qSOCqM7OhQWTW5rkGmEMPYV7wt7KEpUMKSnKldMRUuAxUuA8/98xcMVvyIZDJJRUUFgiCwd+9e6uvrD5vrMh3+8Zs7+cDi6Sf7nwiSmohRzm7MOa0iKxuWs7cvjSi9Tp4zikPyYMu1smmzlbed9xqSpFFZ7uapp57iuuuuO8Gj19E5dpSUQt+W7sMfeBQE+/0Mx7y4XK4J27/97W9z++23Tzr+7W9/+/j/L1iwgHPOOYe6ujoeeughVq1aBUzuAbWvWbPOmYnuWdF50/JIh8zvXt7FWaVOvlDYxr333jvpGEEQmDVrFu/5/h95qTXAd57cyLfu+weGLHkUH3x8DZc88AIffHwNApkVbTMKOf0j9CZMPLilnc/++RXO+c0zpDxDOLQURvbH7Hu3tnHjnX/iS4/8m4e3tGUd84EysvGHLW2cd9+znHPvv+n2hSft7/SFWfWbZzjvvmf5x+bd7K2oJCHL9JwzG3cwgK1pgG//7imuXb+em9r3MrQq00/GIcvEVAVjOs1Le5q47L5/8/ZfPUXnYWT8YRp6FKlR8mosWBs7AbAuL+JhQ5x3rmvkff95mWRfH1Fh4rrKkci4+sE1JLcMMSjaGBSt7G1TGNoTYe3Wrdz0zDNc8cunGVi9F3XzAAO7I+xo045Kj0M9j1W/eeaY7tX7Hl1N78hYk860REoVCApGPD0x3tjRxO6R/SuUmgaqBnZJIW020jEm44Y7H2cweXhvxlurzXR0dFBWVoYgCGzevJn3vve9PProo8fcaHLNmjVcKrUhiqfWpOJwo1E1MEgCgUimGEBZXoDBXpVZ5cPs7XQSjsrUVoQosj3Oru3Z3wUdnVMaTUOIpGbkj6TC/PnzCQQCE/6+9rWvTWtoNpuNBQsW0NLSMp7HcrAXZXh4+IgqHuqcXujGis6biqGhIX5z523c963PsnHNC/hjmfAvWRLJaf43oVAo63kOh4PEsg9iqD4bn9E5aQVHUTUaezNegcbeURR1/wq2XUsxb7iH17pHWdBQxvvPn8vWocCkQK4dQ346vSE6PQHe6Joc/nWwjIgqcHB68utj50WSaXYO+YlXF0ySEUlmdN7a2U9doULSYMCiKZiWFlNbK7JrNHON7d2DWDdncmOsskx6LFxs50DmRyKeTrN1KICCwPb27DJen4Yem9pB2DY4PmEc3hFk87bMBaOKwp5wiOhePz2ifbw3y6FkJBHpwkJjT0bGztFRDMkk5sYurI1dlHi95AWDrPf5AIgpCi3BIOZUitxwCFHVUI9CjwOf+VTP42CmK+OKBQ1cUW1F06CpU6EpakHSNCxamrXNXXzhd6sB8MY19kQt7Ila6O+IYorH2Tkmo200wCt7hyfJyEbP5lfGvSgLFixg48aNXHfddRgMxxa6FQ6HMcin3s+OiEY0kT3Zv3Ugzea2FAnlDSLRxSiqgCDArLJhVE2g2NxH8x6BLVuMrFoi0rPnB4xMUVVPR+fNiiRJOJ3OCX8HF/aYikQiQVNTEyUlJdTU1FBcXMwLL7wwvj+ZTLJ69WrOPffcmRq+zknm1PvV0NE5Tuxr2HggO7dt4XJjOx+tS9F053v56jsXju9bWZN3yNJ511xzDUVSmh8syJm0TxIFvnXJQmpz7XzrkoVIB60cG1C5ZWUDra09BEcj1M6eg0cwkz5gTfeyumLe1lDK3AIXN6+anDNwsAyLOLna182rZjO3wMXbGkq5tK4Yc+fESdPBMoyoGBYWMkfxkURi86idj112LlVWK7fW1+NITm7yeFNVJQ02G5fk59PQUM9rw3aSsjxuSByJHh9dsgR3PI4tvj+8yR6P8fGKChpsNi7Nz+eCvDwK/X6M67vZ06rQKTpoaGjggllVVLtcXHvuEnpEO+GxnJlR0YImytxaX0+V1cKt9fVIWcIDPlZVNa7HBXn7W6jnhoJ0iY4jfh4HP/Nsz+NgpiPj9iuW8sErFvLQG142hmyYiqxEB6PYSJEWBG5eNRtvMMy/OpKs65Zx9Q5T3DtAsRojaLRwRX0Jb2soZU6BC/zTK4Ig9GxhX1V7g8GAyWRClmWMxuyhhdMlvPHvx3T+TFFtTtC8uov2wYzhmExpJFIZ/c0GkOWNaOo5LG0w0D6Qh6ZBKGaid8SdOb/IR3m+n65+OzZTHn/5/aeZRlcAHR2dLHzpS19i9erVdHR00NjYyHvf+16CwSA33ngjgiBwyy238IMf/ICnnnqKnTt38pGPfASr1cqHPvShkz10nRlC77Oi86Zhx44d/OUvf+GhB+6n+XvvzHqMJxxnaN77WHLZu8a3rX7yMf722np+8IMf8MgXb+TtrmMrtxoWDNi16VfOOlo6RQcFagwb6az79zVcBFCBiGCgozVFqdeT9fgv7dzJj886a/zfvefMJleNY0ShWI1lPedQtElOLBu6MWYxKg/HgWOHzPgDdjum+XmEmoMU+P2IxzBZjBmNaEtKADBpCkXaket3vGiRXKyoE2iOmhkYSFFdLlNsTNIWMzOcNLJguAsRCFcVYu0apkNyImoZb8FtT/2Hh9+9fPxaA6KVihoLzsM0l1RUlcba/+KSSy45bnqMjIygPH4r7f0y9TXGI25weSIYTBowLalla3uKKm8fwtxKZpcZGPKnGfFreCLbqchbhMoaiqtMxD2BCed3DeXgyDfTtquZh5+rwWpKc+ddP6WwqOIkaaSjc3jWrl3L2y66jC/PedfhDz4KVg/vpviKRdPus3LdddexZs0aRkdHKSgoYNWqVXzve99j3rx5wP6mkL/5zW8mNIU864DfJ53Th+n0WdE9KzpvCnbu3Mkdn3wfnynsnNJQAcizm1n39IOo6n6DxGW3cbPQwUNfuBHb4guIp7NPsuJI06qIZddSKGRCuMKCgdAB52gwIbRrn+fFK5hIHuHHtbbGOKWhogKbu2U6RQcdooMmKZfmLo2CBiuxlVN3cIkZjePVwlxbujBrR2eoAIiadlSGCkzOMRCBnHAYa2MXRT7fMRkqAJZkEutY2Fhkh5cO0THBC3aiCAoGqiqNaMD2IZmzqgSqzQnMosZ8W4yQL0mvmEnMt3cNE6gsxlFqQxp7i4xjuVUJRNpKyslT47R1TPaWHYwkiixv/SOPff0GfvaNzx+XKjvbX3uBmGwnR0vQ0pEaL7s8nJTpjJtIncSWK/60RGc8E5LSv76bfKdIuTGJrbkTf1jFahIZDu0k37GQpt49dA3lEhudaKik0iKJlER5UYSS0nL+90sjXHX19bqhoqNzhDz22GP09/eTTCbp6+vjr3/967ihApnJ7e23387AwADxeJzVq1frhsoZjm6s6Jzx7Nq1i44/fJ2HPn4BObbDx8jW2vN49NFHx/+9+C1X8dxomitdCl0bX+fOJj8KAv2ijS7RwfZ22Nmq0bk3Qf/eGN2inW3tsKFnoiFyIBIao4KFdtGJv3R/XokGrO23oAK9oo2mNo1O0cHInjB9om1a+rZILvpEG2pbdg8JwPZOkfLhYeyNndgbO8nd0I6hxkUKkfQUXwspUaKlvILk8gp8djsRi2VSha7p4heMxPb6j+rcE40zFsW2votOyXnCZdu1FINdMXoSJi6riDGUNBA+oFSxU0uSEjL/VoHWfhVjrwe3lsCAioRG79h7Y5FUwoKBpCASUw5veBlkkWsazHysKsTwQ//Dzp07j1oPVVXZ/fy/8XRHcWtJ8rU4a9sEtrWkCXSGsXUNs61NnaDbicSTMiAAvXEjEhpnDbYSUUVcchpPSMVhETl39mJcVoF3LJ1PTdFZJNOZnJ59dnHvqJs+5WwCYSOK0UUgYqG8vPyk6KOjo6NzJqEbKzpnPH/961/56b+3TevY/oSBCmIsbHycnp4eALq6uignjiQK3JCX5tsL8tjSLSFu6MXa2Emxx0Oxz0t+MEB+IIC1sYsyj4eawUE6W1N0i/bxZHoVGBHMmZr2gkilGqKib7/rUwTckQjNkpvg3iDOSJh4kxdVEKb1Yd1VVImoaZSoU1dtUhBQRJGkwUDMaEQADIpCybpmrI1dOBo7pjx3UX6cSjWMaX4einh0ZWwTiPSKdtzhydWxTlVETcOysZsB8cQ2MRSBSjWMoWsUb0cYe98o/Qkjw2NVvS6uy3hOAoKRoGBkaaUKFTmYq91U15qIW8zIqBhQKe3tJ1dLUKsE2dExtRsjrgr0xI3jng+zQWZ2oQ3h3z/gpUfuxev1Tnv8mqax6eV/89ubr+cSl0bZ2Hvp1JLMU3xUqGHytDgSGrVqkNb25HgDyxOJRVRIqgKlZ5diX1DBlrCNsCIRTEuomoaiaKxr3kJ5voymwWhoIyZD5t57QxZGkmXU1MN7zn2DcMSAWxomljSw9oXvTfDS6ujo6OgcOXqfFZ0zmqGhIfI7X+bZW99y2GOTqsBId4wKLQFWE++97joef/xxBgYGKLObSCMgk0lqNyeTyGOTkEOtUZd4PaQ2+tnhdqMiEDGbyQ2H6DJbWFAZw4Q6If9iWLBQNStNWEvQbzSSHwgQtlqpqTcysGMY5lsOqcP8ocPXyZfQWFqZZovqQqrPwbSuBVGbnKx/MGlJImesAWaOlkCot4E6fYMjhUhIMNDfEqPI13LaNXs0pdNET9L6jhkF81hIl6NnkBHBTL8gs7hBZnm9SFssl5AiUSjGcJgUtrcrGDQVQRAmhelJaNi1FHHVhFnU0DRY2yZQVGYi2BvBhEKuGqCloog51hiKljGa6gts1Cc2sffel/lNj8Z1/+8uampqphzzcMcennv4l1wSHuAq1/SedqUaxpOy45bTTNH2ZEYoNaWAFJ1pKM6REJeU0TmcxmIUcGsgSQKLaxYDkEyDWT4bRXkJj1KKaNEoLYjgsGVCLgOjcYyykfbEucyr+gepVGraVY90dHR0dCaje1Z0zmg6Ojq46YIsHfOysK1doWxs8t0fjJLu3st73vMeuru7GRi10tSm4hFMCICtwckPm5u5at06Xp6iTOnLIyNctW4dP2lqomR0FFc0Qm6FmYJAgKqhQf7dAW/706tc9vs1bIiIdIt2YttH6dsTZbQ5CqrKbYERPv7yCzzROkxdFkPl2ZZ+zr//WW57cWvW6kP9wShX/+llrv7TywyEJk5al1Sr5CtRvt/aNi092v1+UlpmBunQUlQccK+mkgGgaBqff3E35/7q3zzY2E+xzzfJUNkn44fNzVn1GIzHuXHTZm7ctJmhLF2PNU2b9vM4Fhk/fb6RVfc/zx9bvWxvhy2dIjH2e5iO5Xnsk3Hbi1s5//5nebYle7Lhsy39fPDBZ0g6ITHWlb7OEqfOHGMwaWSXT+PWP/yNzz/8D+KhOD7BiB8j6/JrSCCiaRr3PP8GN/36NfaETWxtVShWI+R0D1KlhihWo/ynpZf3fPshPn7fOna1JNnemmZLi8LWljSJsIVlJonv3vhePJ5MqGEymcTr9dLd3c3q1at54Bsf5yef/W/u/vWfeKFtYFKJ7UPdq5yeQTa1acRPcP69poGzpZ3217pQd3awKtDOktE2IjGNZFrDbcv8XO7obqQk/0VGQzZK8qOUFUZ4YftKUqnMs1i4KE0kbqTE3ERFmZ29O549sYro6OjonGHoxorOGU28dcO0jvOnJRxqavwD8cj2Dtb3eli/fj3PPfcczcEQggZDzVFUYPemXh7p7aMrGuNnbe1Zr/nTtja6ojEe6e2jPRrFEYtRsK4Vy/IiBGDtju1s7x1iz/Awz/5rPdbGLmzxOHnBIMU+L6muLv65cQed3hC/fraR7e3gE0z0jTU37BHt3P7KTtq9YR7Y1EqLJ0SciaFZ43r0enhk28TwLq9gYv22EZ7o6ppSDw34SV83XdEYfZEInQdVPzqcDIDVPpUnNu2mLxTmL42N07pXB/Nk/wBbAgG2BAI8maViSHs0esTP42hk/HlTE93eIP/33HpKPR4qRkbY26HiF4ykEPjuKzvGn0ezZ3LPnsPdqxZPiAc2tdLuDXPHKzuy6vH9V7bT5Q3wrQdf5pUtfvZELWxqUejqSJDbPcgTT78+LmPYF8SupXCTZNVoBybUcRl/3dTE+7/zMFVqCLeWnCSjzRPk4XU7iY4MUqGGqVJDVKphytUIz27cxoOvbqa4IJ+bVs5l4+fezcD3bqLn3u9gfO4hioYHuPvfr7Nz0Mcdr+wgXVMwXtr6QBkHvrv7EIF6JcDtj23j52u6+f3GIV7rT+FLHV3Y4XRIqQK7oxb8dbX4S0rwVFaNj3beYCudQxmviaJoWI1LAYjGjditKWxWBYdTZnA0EyIoSxqpwnMgHibHkWDb+sf0UDAdHR2dY0A3VnTOaCwNK6Z13FDSMCFZfGV5PpIgIAkCpratRNMpFEkkKcv0iA5mLSyk1JzpZn1u7uS+KwDn5eYCUGo2U2Iyoa0oQwNiG4YAuNBkGpexxOWadH6JyTQuY0V+HrKiYNIUgnsCpLYMYWrsYpXdDUCxy07SXcTmgYnhJgfqsaI800skhcjWDoGe9iSzFWVcxjljemhASpLoLShgIDePS2sKM/dSFil3Ts7ZyCbjQKwjGiVjMs6b5r06mLPdrmnfq+k+j2ORcYF7//6y0VH82320NadY5szoX2yxEBy1sLN1onflcPeqzGkdv8cX1WTvxnxxTTGRZJrWgRHmGVO4eoaoUUOUjuWD7JMhAEV2M4aD2o8eKOP86sIpZQCUO62UHeKZawi8taaAmhw7uaZMVHG1GmK2wzBBD2PHCNJB4ziUDAE4J9/MNx56gc/++p94drQz1BGlJWpmJCkTSov0xA34Y8fufhlOGuiurqfAkGR2uYx7YABf8zBDSQOhtIgogDjWQ6dzWCGW2giAI8/Mv17MFMew2UWGxFV4/CY0DaIdW6gtyXidihydxzxGHR0dnTczep8VnTOa1//+BDndL5NjVMk1ZFZHo4pIX8JIW9MQbouJnGo3tp5RrAeV+e0PZlbfTa4cIts8WA8KDYqm0wwkEtRarZM62kMmpKc9GqXEZMIqZyZyYbOZkNVKyViS8uBYM8TisUnwweyT4Souxh2J4FtRi21zN9axZo37ZBSbTMgWC8rZpVQelEeyT4/SsQnhnr1pUrKEvcGJvz2CVGGmeY+XCyNhRCFTUlkRRVLLK6hUw2iaRosnxF1rdvK7a7N3CD5YxoF0ig7E11uP+F4dzHTv1akkI2C1EbZYWFS7/2v2UPcKMt3u+4JRGvIcU8po8YQoc1qxGbPr0R+MMhSO8ej2Tu5+29IZk3Ei9DhQhkamH1AMCZuWZiAtkso3U+K0UGlOIAn7rp35767WFGc1TF1OfHj2LAyyQJFbYtNzneQuKqeqUCKRhp6RNPscImaTQHWhTMdgGovlRWRJxRuyMOBxsfTsGN0DdsSyVVi8r9HeJlJT7MFuyXxG6y5uZGRkRM9b0TllOdX6rOi8udD7rOi86Tn3qvfwwpo9DHVGGEwaaI2ZaW9PkNszyAq7xiwpTkHP4CRDBTITpFKnlZggY8rSyd0qy9TZbFknYpD5ANbZbBMmxpZEgrxgcPzfxWbzlBPjA2Xkh0LIqkrButZxQwXAvaKAOpsNyWIhsrSSCjVMUDDQM9Z740A99jFntsyCOoFKNczcaoEyWeFsNFoqK/HZ7fSdM4eeoqLx/B1BEJiV70SWps54PljGPlTA0xk7qnt1MNO9V6eSDFc0gr3BMaFHzlT3ah82o8ysfOchZczKd045wd8nw2qQsRqyH3O8ZJwIPQ6UIZAp51ygxbGSpk5OMscfxN49zNbWTE5NS9TM+jaN3VELUWHqa2sa2Ha3EIpppBWNbmcRpXkSoihgMQrMKjMwp8LArDKZ6sLMdRxWgWgiY/zkOmKU5AXwBk3IskoipiKIGnPmpBiMlY4bTK0vr+BXv/j+lOPQ0dGZmjvvvHO8a/0+wuEwn/3sZykvL8disTB37lx+/etfn7xB6sw4urGic0YjCAKzP/ZlitQYEhrO7iFK1cgRVaLKU+N4soQFHQ2SpmFMZ2/UeDQENowStFiJLa3AqSXoEJ30Nsfxtk1dunh8LGjIqEQFA45oFEc0Su48J7PSPjRBoLn5yMd5cGT+1i6JsikS3s9kNGDE5SJiMuFc1zHeuPFEEkqmMcszl+dxKiGhUTOWU5PXM0iDEqCkdwC7lpqyd4sgwEjKSFmehCjA2842YzJM/mbYFwKmKCrDgYlhZwZZIZkUKcyNowxsxOs34XSkyHUlSI31YVFVWLDkouOssY7Omc+GDRu47777WLhw4YTtX/ziF3n22Wf54x//SFNTE1/84hf53Oc+x9/+9reTNFKdmUY3VnTOeHJyMjkMUscoMoeNepyEAAjH2BH9eKMBw243cYMBbVERVi3NQHuCtCBgSqbIrTt8A8lB0UpTm0ZMkBl1uTE1uMnTEthIs7IswdxZk1elD74L63uNjAgZT0QCkYGDGlcaU6nxEs9vNtKSRFqSM31stvSxtUNgZ6vKjrYT8y5FkimsxhNrrKQRSMzQz4oGDAkWdkq5DFeU0Cy5D3uOW03Q1j7ZK7oPVQODlDFILKaplzA0TeNv65sxySJ2y/5wUIcliaoKOO0paipCROMSG3fmM9Cj0RvONIRs7kywcuXKaeupo6OT8Z5cf/313H///eO/4ftYu3YtN954IxdffDHV1dV84hOfYNGiRWzcuPEkjVZnptGNFZ0znuLi4mM6f1C0UhCYXAXrZBEzGhnMzUWck0fcaCS9y4OnJYyr1o62O1MiGWCv5J5y4hhFxi+YMCUTWDd1Y53jpk4JkECkQ3TSI9oneEkiyPjCsKnbwM5WjR1tmVyU/ECA0E4fHsGECZUyNUJ6zG91YP+Y04W0KJIUReKGqfMcpoMAlHi948/CkkxSPjpKTjhMYnYRWztF+kUr/TPYZDKaUqYMA5sJNMAvmNgtTy4ccDzwCSa8Rfk4iy10Dyi4SiaX8h4RzOyV3KQQiCIxUFrMwvqp70GlKUFzX5qdL7TTNjC1J3E0qJBvryESV0ke1LQyOJoxXrx+M25HknJHH3Wlo5hUH+GYke6+KDbb4RcPdHR09nPzzTdz5ZVXcvnll0/ad/755/P3v/+dvr4+NE3j5Zdfprm5mbe+9a0nYaQ6JwK9KaTOGc/IyAiNYjl7mpt5pz3BwuLJ1aLCiRS/39xGhcvG1fMqJuwLtoSwA88MDdEXi/PB8jJsWfIe9obCvDgywuUFBcx2TA77iaTTPNrbR5nFzNuLsld6mo6M50dHuSI/nzkHdBIfXlVPcvcwFq+X3/b2UTY0xML589FqJhorGvBI0wC72/x8Ii+XUEEBEbOZ2WqUftGGpz1KpH0Hz/h9XHjhfEoDBlwNdkLNQazJJJUD/cRUNaNH0349YkI+O1tiaIJAxGJm0N/C9mCaD8jZw+dO1L06UhmSqtJ/zmzc23owp1LHXYYplaJ6bRMa4Is7MKVS/NYQJebz8NGz67CbJhtJu4b9/HtvH++YXcb8Qvek/VO9u+FECpsh41l5encPPYHIcZdxIP+IpEn5vbzzXDv+buOkcsjHKiNXS7DmP2/QHYjwnmVzKerNeKhSCOMVz9qGvaSLXAz7FS5wazAYgvqp1+REAep7WsAKI3va8TnqybFnjtc0jWG/SjCmklDWMbc6RCIlYzZmN2q648twJLcjaBIuW5yyvExuWlKoJBQK4TpOoaQ6OjOCIKDZjm2RZkqMEoqiEDwgXxPAZDJlLTzx2GOPsXnzZjZsyN564Be/+AUf//jHKS8vR5ZlRFHkt7/9Leeff/6MDF/n5KMbKzpnPEuWLGHZsmXE43GKXE523/IuxIOSfu9YvYOHtmT6cxTaTZxbub+kq7vBzur/dPOVXbsBGEzEuW327Annq5rGf2/ZQiCd5rHeXlZfcP4kGT9ra+PPfZlqF/lGI8sPcm2v9/nGZWxTBG5btoginy+rjD/39EyQUbiuFYDvHyDjfpMZY6qS3NkOisbKMj+43sM3Xn4dgEhZKV81Ghl257C930DlUB9lqRQXjcl4sqMzI8PrwQpYRIlgOs09HR2T9DA3drPPf/VKJMrnx/qpeMtKZ/xeHc/nIQCVa/cSXFnD82v2zNgzF4DcUIj1Ph/f2rIVgJ5QjLvfsmSSjPc/ugZfPMmDm9vY8fmrpv3uRlMKbrOR17uG+cw/Ms+jPxTlzrecfdxk7OP1rmE+9dgavvz283jkP63cWOeeERn79PCnNb55wdxMiN2YoaJqGjc98iK+eBK32cjOz1+FW0swlHJSbEyRDfGAIRjFTKL9Ppr70siGNTjtSSQxsz2boSIImX1nl7xG35CVfOP+fLFwJE3D2f+D1TpzHjQdneOBrCnUpwdn5Nq71BC7du2aZLB/+9vf5vbbb5+wraenhy984Qs8//zzmKcodvKLX/yCdevW8fe//52qqirWrFnDZz7zGUpKSrJ6YnROf3RjReeMR5Iyq8uDg4NMUZjokNi01IzFS8YNBnwOJ/2eFD7H/uRdl6iSlo4t30DUVAoCAWKCm7AmYydNbolxwjGyqlLq9ZAWRWRVzdppfB8WSSJwiOIAvlW12DZ2Y0tO7v5+vJnp8DLT5l5Uaea/Hg/UwxvM5HwcTV5VNiKpFGUu61G980fKPhk/fuZ1/mtJHWLdkkOfcAwyZFFgYXUFHsGEjIZbS2JvyCHYvN/TuE/lsGCg1pDdUPGkZIyCikPOvPW95TVUjJ3Y51GQ5Fdx2Q7/LhscNvzBKG5nktqKMDu251LoDmMzJ3ljVznXf+oCptEhQEfnpCJoGqZw7PAHHgVyMs38+fN59dVXJ2zP5lXZtGkTw8PDLF26v+S6oiisWbOGe+65h0AgwNe//nWeeuoprrzySgAWLlzI1q1b+fGPf6wbK2courGi86bg6Qfu5bmH7uOJD100aUUX4BsXLaDUYaXCZZu0opunJVh06VncFQ6PhwQdjCgI/HbJEl4aGeGygoKsMr5YV0exyUyZxczynBziBgO7UhYcOwdwAmabha+tWEFkdDQTdjQ6eswyANRtQ+x257C0QsBlLuOb776E3rZhPjHWJBEYT4I/lAy7LBFMpbLKgEyzSYDlOTncNX/ecb1XBzPTMtJnl7FQNPLtUAhfIHBC9LiurJROyUmFEsLE/ufx5w9eyDPNfbx9VtkRvbuxlILdILOqsoBfXbVyPAwsmx5HK2Mf51YWnlAZV6wqZ3hAZVi0UKxGqWrxZZWRQCSgSLjl/QsBw0kDZlElMa8W3/ZuHHKchCpg6+whr7YWAKdVIOSd3mJBiaWXluZc3AVO6iuDVNXCpi1FLJ/dQ82sTFiK1+slNzd3yjLOOjpnOpIk4XQ6D3vcZZddxo4dOyZs++hHP8qcOXP4yle+gqIopFIpRHHiEqIkSahv0mIubwb0ppA6ZzyPPvoo8j/v4/yK/KO+RpfowNrYedxW9P02G20RCWf/RIMk7rBSVmohNxQ6TpIyDK+qx6ZlvCL+tjBlBxlC0+H3ipdZfo3z8iYnUGtkktNTyyuwNnYd63BPKklZJrm0nHI1zJ5WlWKf9/AnHSc0YDgnh9IGCznasXmovvfydq6eW8GCLDlaZwLdop3aGhPetIy5awRjFr9gGBlTTQ5FB4SBbS+sx9XdQ8NldTS92E6dJU5rzMycS2vGyxS3DaRx2J5HnIZLtTdSgcWkoCggiiBLKsGwjBqL0OOdj6v4fBYsWMBLL73EBz/4weOmv47O8WLt2rVcdeHF3Fe/fEau/6SnF+GtFxx1U8iLL76YxYsX8/Of/3z836Ojo9xzzz1UVVWxevVqPv3pT/PTn/6UT3/608dx5DonAr0ppM6bnmcf/A3Vrz16TIYKgK/tyHqzHI69aQtWz+QKY+ZQlN7hJMNu93GURqaZZGMnwpZ+Cvz+o7qGeSDK0BShUYooErFYsDZ2ETabj/v4TyTRZZVUqRljUZydi9fhOGGyBaDI58MnmMarqh0t8bRyyIaLpzv77k6lKUGX5CDOZE9IWhCRhf3rcQlVIN8l0nBZHR2DaexSmpaKBqS5FeOGCoDNLBCOT6/jvMmgUlMeoroswmCvitmk4A1asLisGNKbCQQC3Hrrraxdu/aY9NXR0cnw2GOPsXz5cq6//nrmzZvHD3/4Q+644w4+9alPneyh6cwQZ+4vmc6bnk2bNlG08V8UO6Y36ZgKDVDF4xu+sSIxypZcJ44Bz6R9Fl+IAVHE4rbgiB2fGOJ9o7cmp+45cTiUORX4uyePFzJhZO5IhIQsY4vHMaWy5wmcDsSa/Sh1ImHBQKrVj3qIjvczhaOxg96V1VSrR+9hi6UUnFkqf50pVKhh2jsgt8LKWTVpehMFmA1paN/vNUwhYhb3e1yGkwbKczJGTXRHN/kGjdruFtpiZiirHT+uOEdiV9eFmAz/wWSY2AjyYHLlflq7SplTG6CkQmTYa2BuYTuaALKjnmf+dhvd3QVce+21BAIBvSqYjs4R8sorr0z4d3FxMb///e9PzmB0Tgq6Z0XnjOOee+7h4a99FuvD36XYfmyGCmQm+uXVRqJZkgGPFk0QKM01YF1YmnW/1ROgY1RhKEuew8nA43RS3O1BOEx4WlqSMhWaFIXYyqoTM7jjTLHXy+52DRGNhTUaXqeT9HTigY4jAhBuDrKzVaVbtJM8iq/qeFrBbjqz16NyK6wMJY28FnDi6BmB9lFGBPN4iYKkICEd4FmRBY1gNGO8zL+iFm/agCRAWpu8GDGrTEZVLsPjv4Le0akNDEnUUCJBAmEDlSVhkikJk1HBbFBYVr2X//lYIT09PTz77LN6VTAdHR2do0A3VnTOKNLpNP965CHmJYYYDsenrMKjaRrNo0EiyamrW/UHo/QHo8SQ6O5OY01MzCGIpNO0RSKHlNEWiRDNUkFL1DSKfV68oTCe1P7raoBpcTmqJGIJhGkdih+1jH0MxuMMxuNT7p+OHv6BAWyaRlTJvsq8T4btgHtkOSB35Vju1fHUYzoyhuJxSj0eulsyXqh5RWliy6tOuB5FXg/FPh+Wxi6GROv4BHy67244mcI85hUaEczjGR2jgplgIkXzaPC4fD6mInwCZNDcx2hzL6IvQkgwoAKx0jy6RQd+wYhY4sAs7pdfYkoRiEwcjz8tUbC0ctKlDbJARb7M7HIDlXnn0DPiYjSQvbmjZnbhtKUwGlQSoRiR6FvoGsqhYzAXQbKz9s+11OTvQpZl0od4N3R0dHR0JqMbKzpnFLIss+zCS7jyN//m4t89zzdf2pb1uG++tI2Lf/c8l/zu+ayTpVc7h1h57zOsvPcZNnT2Y6yZWMUkkk7znvUbuKZxPXe1tGSVcVdLC9c0rufa9RuyTl7Xeb3c8OyzfKptI9sjfgBUg4wqiqRNBmJKmts3v8I1jev5QWvbUct4+9p1vH3tOtZ5JyeKH4ketzXtwZ8lvOt4yjgRehxOxtvWruOZVBpjOoUAmFBI7Ro9aXoIgK81zM422Noh8I1pvrsvtg3yaucQKtDbkWSvlMPGbpnOlMSF973Axb97nk8/uS1rueoj+Xy82jk0aX84keLSB144bp/BQ8m45ldPIEghZDT6RDvKQAgZFWeNk2R8oqHjSclIezoBSKY1ZEHDl5Ipzjn0T2GuQ6S+6BxU5dys++Wkj/UbzKTTAsuXxmkd3EFl/gqW1a3EZriY3tEc+oY0BEGgt7f3kLJ0dHR0dCaiGys6Zwx9fX08+KtfEd+xlqFoZpLyn47hrMe+0pFpftUbjNKXZeW2sXcURdNQNI11vV5ineEJ+wcTCfrHVsff8PomnQ/w+thktD8eZyAxubLTZn8AVdNQgU5bxmMhpdKkNndjjCYYTSfH9Xjd70fNUvZ0OjL26bElMDmh/0j0GEkm8WTJeTmeMk6EHtlkuJfnj8tQNY1h1cOsOZmeNAZNJX1WEa2CcNL0KPV4KPF6KBsdHX+nD/fuAqzv9RASjAj1uVi39hI1mRna3sfw2Hu1yzuU9UfgSD4f63sn5zH1h2L0jp23umOyoXG8Zfz8sVdQynMoqzaztEFkQYOBfEOaJfkTtfOnZWourQfGGkLOrcQgakjTyElzWEUMMgSjJrqH3Yz6riASN5BKixS6I9SVjtLa7aSp3UWBcz4FLonWgTQum4goqNzwkc8C4HK52LRpk957RUdHR2ea6MaKzhlDQUEB/t/9lhtiMh8qL6PaauWTlyzPunJ828ULqct18LGl9TTkTa729KGFNawoz2NFeR43LKpmboWKd9X+/hG1Vuu4jC/W1U46H+B/6uqoHjuu9qBY9W1xM1WzFzPLmcssu5sL586ZdH650cI7ckooNVq4acECtCzGyqFkAFxbWsISl4slLhfXlk7Oj5mOHp+eO5cqm5VrKyuRs4zheMg4EXocSoZ/wyjXlpaw2O1mfnkxb1k8F4BB0cKmQRPyriFyzpvL+ysrT6oeAnBrWWYM76usJBJ0ERYmJtHve3dzLUY+tKgGl5ZkYXoUw6ICHLEoFU4nNy5toC7XwdcuXpC1BeWRfD4+tKhm0v6GvMy5dbkOvnHxgqz36njK+NBZleT1DNLelcSXmro/ik1SGA1mFgZkSaCh1EDtmPEyHSRRQBYuwmZczuxyGYNwKR2DeahaxvgpMvdRYuklFN/Gnp4UpbkSRhnkdANLVr4XgJycHKLRKA8++OC05ero6Oi8mdH7rOicMezatYs3PnwDqw4omzuQm4erwY5NS5OnTZ0nkI04EsOiBQUBVRCwbujGMEXOxtHgs9uJmUyoooimwchwHFFRsI34Jx2rCeCvKmFZ0nPCVxg0MgUBNOArO3bw47POOsEjOHFogCIIBO12SufasGopkkiEBQN5Wpw2yYV7XfvJHuY4GhCw2YiazQiaRlG9FaeWxIzCp/62jnvfvQqApuY0dbOMJBFJCBJ5Yz1cNvYYkNMKpaMjFC6f3D/ndEMFekU7ixuyFxbQNOipnUV96dEXHghGVWwmAUnKGO6ptMbWzkYEoDg3iFFOs72/geL8KHF/BLNhGf39A7zlwz8bbwqpquqkpnY6OieLU73Pis6ZzXT6rJzZpWJ03lQ89MtfcsNB/T1KvB5o9BC0WBgwWzirXhj3tBw8VUghIqEiAkHBgE8wY23sRBUEpBkI2cgJh8kJh9nthWi+m9m2NHtSFjTAflYJQ0Nx7CNjoUAa2EZ89DYUkhMKHbeSxtNBAIQx/YXj2m3m1EMAZE3DMi8XsxpBBMwomLWMkRrf6z+Zw5uEALgjEdyRCADRbRG8JhPWuTkTKojNnSUDKkZU7Nr+/JAlFelMed+a099QAQgLRiqqzUD2JHZPWibHcWzvcFph3FABkERYWrsSQYAtHWupLPQzu6ADT6oELE4UeQ/OnHrWrFnDRRddBKAbKjo6OjpHgP6NqXNGoKoq85qaptzviMVwRCN0iQ52tWnsbAefYCKMPG68dEt29kg5bG+DwaYItrGO9TNhqBzIvFyot6Rp92m4uwcRgMjOgf2GCuCrLaWowkGHYMV4EnuYaFmDhs48hM39DIvZy8xqY3+nItZEgvxgEGtjF0lEhgXLIccqoWHm+HkLTzYOLUlT19T6eFMyeY6pw8SmQ65j4s+mqmX+BEFAUUXaB3LxhqwYUj6qy8KMDKoEY80EO54dT65X1WzBqTo6Ogdz5513IggCt9xyy4TtTU1NvOtd78LlcuFwOFi1ahXd3d0nZ5A6M47uWdE5I+jt7WUhGhxi5d+WSEBjJ/uKj44kHEiaStRkQkMgJ9yHSdMwnyBjYMTlJmYyIikqUbMJU8fUX7Q5HQP05rtwyB52q2YWyRFEPUF3xjCnUgR2eug9K59ydX9xhZxZdjq6TeSEQuSEw4e4wslH9kZIbRlim8vN7BqBmCDj1JLIp6ypdewIQH6pGcjueTzOvV2BTO7LPpbXZ8Lu1u5dT13pKMPeMhbV9tE+kEfS1M3qv/2CS666idLK2cd/IDo6ZxgbNmzgvvvuY+HChRO2t7W1cf7553PTTTfxne98B5fLRVNTE2az+SSNVGem0T0rOmcEL95+O4YjDK3IDYdwRSKUeL2Uej1YkskTZqgA9PgUYtv7iO7oJ7l7ECk99YqwoGnYRvw4BjyY/GG2qA6GcnJIStIJnXqe6WFgB+KKREhtH6ZbtI/f4zI1wuwKSIkSMaPxpI5vOphSKcpHRxgUbXR2pumUnIc/aZqcih6moGCAXv+U+0U0UunJoz54W8dgmo6ho++HIokqiaRMntSPIEBxbojCUpnq8lzWvvBlXn7ud6iqSmtrK3fddddRy9HROVMJh8Ncf/313H///eQc1Bz5G9/4Bu94xzu4++67WbJkCbW1tVx55ZUUFhaepNHqzDS6saJz2tPT08NDf/sb72lcz+4pOqw/3N3DVWvX8XB3T9b9u4Mh3tO4nlu27yCWJYk+pijcsn3HsctYv56bd+2m0+HAEI0jqplJkjESI6Eq3NXbxBc7ttAez75q/w9vH1/cvZbVu7bhbfHSFDXSXVQ0Pmk8YXq8SWR8s3E9//V/T/D0hv09UfyCiYJgAGMqdfrocf/f+eI//snWDV1Zq+Pdt6GZ8+97lvs2NGeVsX3Qx2UPvMDHnnyDaCozie8QnfSJGT9lNJXmY0++wWUPvMD2wexlnY9GxoFMR8Y/WwdpaDBN2DacNNAWM9MSNWOYX4VBzhjcjc2NrN27Hk3T2Nmzdvz4Nbs2YTJAZf7Rh4str1+JolxKOHoF7QN5CILGyEAaSdrC21ZcRIE4wn13X8jrr7/OrbfeCkBnZ+dRy9PROVY0QSBht8zIX9oooygKwWBwwl8iS3n3fdx8881ceeWVXH755RO2q6rKv/71L2bNmsVb3/pWCgsLWblyJU8//fQM3yGdk4lurOic1miaxm//+ybWeL20RCI80NU16RhF0/hJaytdsRg/aW0d70FxIA90d9ESifCf0VFe9Uzu6fCqx8N/RkePWkbUaOQnXf20hCO8OjTEK1taMQcjE47ZFPaxPuylOxHlSc/kxnGKpvGH4U4GUnH+MNyJkEhi9QSI7B7CZ3ecED3ejDJaw2Eea85MsL2CCX9rCFUUQVVPKz1aIhH+0tQ0yTemqBrffXk77b4w3315O4o6WcYv1+2laSTAsy39/Kct0x/FgIqnLUqPaOeltkGebemnaSTAL9ftnazHUco4kOnI+MnzjbT5J5pj8dk1zLmshnmX11BXkol8jsRVJGEJBllhXfMGbMblbOtIomkaF85fSmmePCGJ/kgRBIHqQpm6Epki11JEQWVOxTAuW4IBr4rLJnHBsnexvOwB/vrYz3j2nw/xkx/94Kjl6egcK7IkUF1omJG/HJvErl27cLlcE/7uvPPOrGN57LHH2Lx5c9b9w8PDhMNhfvjDH/K2t72N559/nmuuuYZrr72W1atXz/Rt0jlJ6MaKzmnN03ffzfJAEKuUWQVdcZC7GEASBM4eqxJ2ttuNlKVXyL7zrJLEXPvkng9z7Y6jkqEBPQUFtPphsWQBwCyK1MmTY2trzTbMY6FsC6yurDLmWjJhPHMtznEZhkSSoM02o3ocyJtJhkXOTG5nl5eTRiAqyDjDYURVPa302C8jl+hBqYqSKLCyPB+AleX5WRsknldVAIDNKHNWUWY8FWoYW70TDVhQ5MZmlMePjSMRFAzjXhxJFFhRXnDEMg7kYBkHI4kCVS4bvcHMau0+u07a08mAVx0vGwwQjGogbEbTBOpLR8lxvkAgtoMjTQPrGk7T9GI7zX0ptjzfQetAmkRq4kXMBoFBn5MBj5Mce5RAbD3eyDqiCZWCXCOXznueJcUPc94iz4TE+0QiQeokFtPQeXMhaBr2eHxG/ozpNPPnzycQCEz4+9rXvjZpHD09PXzhC1/gj3/8Y9YclH2fkXe/+9188YtfZPHixXz1q1/lne98J/fee++M3yedk4PeZ0XntGXPnj0MfuLj5BkM+FMpgqkUlVka8QGkVJWuaIwqq2XK3JbuaBSnwYDbYMi6/2hkJCWJ3VEjNk+mW/lAMoZdknFI2WWElBRhJU2J0ZJdhqYykIxTYjRjEDIybAtKsMbj4+Vr9+mRKCykx68yzxjHeoC7/Vju1Zd37uJHZ82fkXt1MKeCjE6jEVulREmuG6eWZFSwMNAep3R0FOEU1+NLO3eO98TZJ6PcaiW+sopKdWKYYVJR6fCGqMl1YJSyy+jwhXGZDeRaMmFWcSRaW1O4ZjlxawmGY2la9oYotdsxpVIY0ynkhYVjuS0C3j1+/CPDVJxbh1ESCTaHcM5yUKRGMY2ZNQfLOBhvLEEgnqImx551f1JR2RXVsDtcOMsdzLVlEu3bKxuYUzH5/idSGls6NqCqAvMrluKyTX/9biSgENvcTrFxv0GhabA3ZqH6vCqc1onXWrt3PfWlo/R7nEQTRuqLl9I2tAm3PUr9bBFvX4if/tHFO99zC6qqUlNTg9/vn5RcrKNzvFm7di3XXHIJL5x37oxc/7edXXjPPXdafVaefvpprrnmGiRpfximoigIgoAoikQiEex2O9/+9re57bbbxo/5yle+wmuvvcbrr78+IzrozBx6nxWdM5YNTz+N9yc/pnQsydl9iMkggEEUqbfbptwPTDlZ3MfRyDAqCopp/zlTGSH7cEiGKQ0ZAIMgUmmaOM7wjgEGi3PRRCc1Dg2Ly0VbQMPQG8EVCLO7vJBl7DdWjuVe7StdPBP36mBOBRnFmoaYV4BbzRiChVoMe41EM/mUj46eNnocKCPQEoK6iZ4NoyQyu2CyN+9AanLsRJHZ1A351RYie/0U+f34dqWJigKWeJwlqRSS94BQtMb9oW02oMJohI2Z3BsroDV66VlVS6USwog6pRGyj1yLaUpDZp8eSxwAYbzi/mslUhppRZtQuQvAZBBYVLUcQQCzcfphX2lFo8+jMMsw0fMhCDDbEmNgXRt9DdXUFsuYDJnrLq5Zzq6edZTmBfAHL6XAJZFrX8761g14+0bpHb6CG65aR5HtuxkZgyr3/WEu99xzz7THpaNzunPZZZexY8eOCds++tGPMmfOHL7yla9gMplYvnw5e/dODAVtbm6mqqrqRA5V5wSiGys6pxWapvHSSy9h/ulPxg2VUx1VllFFYTyZ/ngjAI7BTAJ4r8uGgIAzsH/l3BSMsMGVw3w5OsHDonN4zKkUoe0jbLNaKa6zUKTFMKNQV2ugP+EkLxQ82UM8YuyxGN1i4STvynTY05Up7T3cKVDj9wOZqnpHiwC41rXT5nKRlmQETcU5y4lZUzCh4NCSRx2r7O+NotWLGQOiv5UWQwMlORIWkzBuQABYTEeem6JpGUNHznKqIECpKYXW1UIHDZTkSrhsIhajQJFzOSP+dfgjO/CFl5BjF1lcvZz2oTRzK2RGgufSM9JIRUEAWRb5wnt30tXWSFXdyqO8Czo6pxcOh4OzxjzC+7DZbOTl5Y1v//KXv8wHPvABLrzwQi655BKeffZZ/vGPf/DKK6+chBHrnAj0nBWd04bdu3fzq3e9C+ddPySdm8ew282w243Pbj/lSqgeyBLVT6Rwcj7C8SbmsmOZVYQ5MHESag5GcPcM0ZQ89hr0b6bSxftwxGKUeTwEd/vpEh3EkTBqChHLqV3Tf6oAX0cshrJ9mD7RRowjq3hVWy1hnu0+rkaaABQEApR4PRT7fFgau0htHsS33UfHMZRaLlUj9CQyCxqiAHXdLYw2trP3lU56R4++LPH4uPceugGdIEBtdwtdb3ShKJmHUVEgk0gZWFC5BKcl81mymATmVxqwmAQqC2Tqis6htT+fRErC7TSwcevkYhs6Om9mrrnmGu69917uvvtuFixYwG9/+1v++te/cv7555/soenMELqxonPK4/f7+e1HPkLwM59mniyz3ZjHSLsf354RfHtHaYtImepMpyiyqlKRIxGeYYPFEgjDhvapD1DfLP3nZ4accBjThm42DlsxouKsPXTI0qmMNZEgstvH3s4jeyNcWhIAdWHxTAwLyBgvpnQaezyOvKV/Qp+bI8GMgqcnxoEtVCrNSeZYY6g7OhgJTC7zvK65kbRyeGmqBgZheqNqsMTY3ZNGHfOsrmhYSa5DnLLamNMqsrJhOYHQpcSTMuGx5qORSGRCAr6OzpuFV155hZ///OcTtn3sYx+jpaWFWCzG1q1befe7331yBqdzQjh1Z3g6b3pGR0f5/Re/yN8+fANlsRih/AI6Q1BliPMfY5inlRCBAjeCpiEd9CO+zuvlV+0dDMbjWa89GI/zq/YO1nm9WfenVZXHent5rLeX9BQThCORURAIUOfQiObuXylWNI1nfAM84xvIWpIWYHvEz+Mj3XhSk8O3UiYjnnmFPD7SzfaIH+vCUmLuidWgDpRBMklamrySfqrdq1NZxlqfj3+uW8dAMEp87+ReH6eSHj2x2JQyNoyO8ti27STzs+6mPxjlx6/t4tXOoYnn9RrpG9AwKgn+MDg443r8o62NJ59ax6Z2ASWLV+/VziF+/Nou+oPRrNcQAiNsnVzNmWJjiiGfSvKgyl2rZq2clNeSDX9ExSVP3cT1QCQBantaaHqpg87/tE7rHEEQmFshE41dghB9BVVVefzxx3nyz3r+io6OzpsPPWdF55RjYGCAL938OR57+knurV1KnsGEPN+EJgiIisorTU3c29wCQJUW5bry8gnnD8bjfHrbdhRNo9Hn46GlZ0+S8ZVdu9kSCCAJAs+cs4rig0okPtHfzw/GZADHRwZQk2slVFZCePcQz4/28duh/Z6Qt+eUTDjfk0rwvZ5dqMCOaIDvVy2YsF9Kp/n5q6+x2zOC6BV4OFRBXoWDqH9/DsHz/sFxGbEcB4vNecekx3m5uZP2z8i9OhHP4whkKILATrOZz738CqqmsTPk4a5VF+Cz28kJh4+LjJnQ44n+/kPKeOORAPd/6t0UqJlcnH185h+NrO/1IAkCjZ96O6VOK8OChZQscEFhiP/b3M2PdzedMD1EVUWUlrCoSkUa87P0B6N86M+voWgar3UN8/T1l0yS8fm/r2UgnOBj5y/ha9fOnrCvvreFPS0WGi6qxnIEyfUAnqBK/TSNFQCDCA3WOHsjZhIpbULOzMHsKwSwr9TygprZfPwj7+Ds+RJFDRce0Th1dHR0zgR0z4rOSSedTtPS0sLatWv5yXv+i4tqZ/HIU3+dFHRf4vVwtnj0ybynAs5olFKPh2B5IVqWnhlHgqCopBOZ2HsBGAyoRHdMLP1nLdofqlRGHOlIG0kchChA8k0YiiIAiiSNr+0nkjC7TsI+P4eg1XrahtdJqoq0sZe21hRBYeqKZABJQaSwzIAARIQTu84lolE+MsL2TpHUEf5s9fjD3PHv13hhc5D1rRpRJXO+OFa5q2tof/7KNCr5A2CQoTO+vyrZ955oYtm3/sHusJHB5NT3UZhdzvb/dBFNTP0Z2ufZSSsavpDKvAqZW/7rUt53eZJc8VkaGxt58vH/JT6Fx0pHR0fnTEPvs6JzUojFYvzzn/8kFAqR/vOfkWIGcoYzYTWeVIKXAkPMsThZaHNnjnfZqSw04I5ECMky/+rsRBEEPlBSgpwlX2Wd18uWQIBrS0spMk0udTqUSPBkfz9LXC5WZfEWpFWVJ8be+feWlh53GSow4HLx6LZmpESKt9sLsjb82x7xsycW5DJXEXmGiTIUWUKtsLJ6zx4Wud1U1dcT3TEw4Rjr3EJe3bXzuOnx7NAwn6urJe+ASmwzfa9OFRmqILA6HOaNWJwPXTiH5TaVUcFMWhDp60xS6PMRDIVOCT3+2NPD88Mj/GHp2dOS4bfZyJnvJk/LTIAHQjEe2dbBivI8LqguysgVLMio5GkJ+jUT9/1nD8ZUmk+/dQ7KxuEZ0ePge6UBA3l5VNSZyNESvNo5xPpeDx9aVEOJY3JZ8IP1UBAIVRZSa9kfVulNyfjra0g29ZJQBZa9pWpCA8mp6B5J42xqxSqp/OrZLooNGheXuwkKRtSKnAkyDkTToClqYcFl1YgiU8oKx1Q2tG7j3DmL6fWkGfGr1JW9BGi09OXT1h1HdL+X66+/flrj1dGZilOpz4rOm4/p9FnRjRWdGeOee+7hueee452zGoharNStWME73vEOVFXlqquu4l2to4ftO3IgwdIClhJAFQTEY/QQnCqEzWZiJhMJgwF/uw9TODbtc2NuO+VFJnJDGW9TxGwmYLXh6QliDmT6gjjmF1Psy54TcDTc3dzCe8tKqbUduu/HmcyIy4VhTi5uLYlDS2JCxSOY8TQFcUUioGnH7ME6VobicX7T2cW35sw+/MGABgRX1VCiRLBy+PCmHtFOb08aYzpFxfDwCXfRe+0O7PNzKB3rf3MkjIwZmMXVVvIMGa/KvseV0AT6q+tJNPXSlzSy/IJiClwS8aRG90ia+hIZURToGk4T395F0Tk1iJv30tKWpOyAsUSQSVfmUTOFwRJWREaSBtINlcyv2u+JiSW1SSFpIwGF15v2UuCKUFfqQZZUkikJo0Hh3j+rfOnb/8RisfDXv/6V97znPUd8P3R0dGNF52QyHWNFDwPTmRFu/++bOOvxx3hXXy8NHR3M37uH+Nd/zHcXnccdi8/nk92RQxoqGqAdtFiYW5w5/kwxVADs8TgFgQDlo6MUVjpI2A/d3O9ATMEorYn9Hg5bPE6p10NFoYlgaT7B0nxs8ekbP9PBJkuE0sde9vV0piAQwNXYQXzLMH1jjQdjgoR5Xi6+FTWErDbSokhSlvE4nCgryk74GCOKgvkIKuRl+p10MCDZphXSVqRGaSgHOa0QsJ/4qmi54RDKlkF2tmp0ig6GhekvehRocZwVdvZ07TfKBCHzZxY1artbKDNl+rvkOkRSaY1UWsUbUtn+Qid7XmxD29lBjSWBdesemtrSk4wmG2niqsjQFCFhdkmlxpJAaOmZEHq29T/dbHyuc8K2fKfIgqoGHNYE4ejljPhtGA2Zsb//Lenxjt0vvvgiL7300oRzW1tbSb/JP686OjqnP7qxonPc8fv9nL9nD3lGI0Z3JSPtAcI7B5EVlcWqgUXaoZs5Jm0W/FXFOOcVESrJwzG/CMf8InKDp18DviOh0O+nrNSMY34xgfJCYu6pJ4Eps4lQWT5npydXpHJHwiwlyFKCOGLH11ixShLBVOrwB57hCGQaRhq29NEsuclX4+SrMby9CczJBKEV1YSWVeE7q5zY9uPn2Zou4XQac5bKb4diOB4ntjdA5DC5KwBGVKKCjH2Wk4TByIjLdbRDPWosySTFPi/2xk48e8P0i9MztABsXcMYUNkbNdMVNxFKizQ3788BccoKNeY4/R6Fppc76X69i/lVBkySRq0lQalp/2egotqET5gc5pbXO4ivM4w3NXV+T4EhRdNLHWx9vgMAl6wwyxpj2wud48cIgkBdiYE8+zl0Du9C1QS6hnLQNMh1G8lJ3ME9d1/PuWeN8PjjjxOJ7DecHn74YRRl+oUAdHR0dE5FdGNF57iSSqX4y9VXU2QyZbwjCBgSyWmfnzbKxF02VqS8FPt8nC2EKPb5KPb5cEWzlyc9k8gJhyn2eVmm+knarQRL8gmW5JM2TZxAJm1mZpmSyKpKyDL9VeVjxSHLhNKn1+RnxOUiurKKwKqa435tSzKJu7GdXsmOBQVFFBleVodBUzFrCgXbuzClpv/+Hy8iaQXLND0rqqpy646d3LJjJzuHhpC0TPL3N1/cyieeXsuPXt2Z9bzhzgRlSoSkQcZ+nI3iI6Ug4Ceyy5vVaJiKWiVAfs8gie4AXR0JIoJhQk+WGksCy+425lhj1FvidL/WSYVpclhXviFNSJi8ACOjUajFGOqI0BI1o2axpFyyQr0lTqExxe4XM1X7zKJGriFNa396gpekLE/inNkLiCWM5DuWk0pnjNHKEpkPXD7MvDqBy1d18tOf/pTh4WGSySQ333wzf/vb36Z9T3R0TjXuvPNOBEHglltuybr/k5/8JIIgTOrDonNmoRsrOscNRVH4+te/jjmcyaHYojqwjfoJplMMJKeezKQ0le5ElJSmUlTjotY+uVJOdzSKLzn1pM+XTNJ9CGMmpaq0hiOkDlHJ6lSTsUz1s1QIcrYQhCXVBEvzSZK5V8ZRH7tVK60lpWyxF5CQ96/ezqQedlkmmE6dcvfqUDKSmkapGqFQjdGfl0f0gGTvbDJiBxQPmI6M9lAYb7MfBQFjmZ28LZ1EmgNIqLgiEQZCoRN+r6JKGqskMZpIcN36DbztjbU81D2543o0nebm7Tt4S2Eh35o9m5daWvjII6/zkb+tZyQS576rz6HFk/k8d/jCeKKZyXoSkcWVaZo6M1W6LMnkBD1iRiPpg4ylmX7m/gUVdO8Js3ckQFKZWsY+PUQyHrJ8LU6pGkFCJX1Q7KlzrDyxIGRKDxvF7L6bnArrhD4wB96rIi1GutfPxpCN3RHLwUUOgYzBYxRUolWZEtDFxhRFbS3sfLGDPk9mDJqm0TWsUOxehj+sEopNNMwqCvwsqLFSkbeOSy65hIGBAdasWcNf/vIXOjs7p13pTEfnVGHDhg3cd999LFy4MOv+p59+msbGRkpLS0/wyHRONHqfFZ1joqWlhaeeeoqenh5qtm3jWgHsLhdehwP8GiORELd2biWuqnyiqJa3HtRLBOB73bvYFQsy3+Lku8ICkjYz8Zo8SryZbm5/7uvj+3ubsUoSf1m+nArrRE9CTzTG+zZsIKoo3DZ7Fu8vm5wj8Mmt29jo97PM7eaBs5dM2n8qyxCAOd1dpCWJDw02s9fvYZ7VxddyXJjtDlb5hzGOxaXPtB4OWeaZoSF+0NxySt6rbDIW5+XxxOwrcGgpFtZCp1hCamMPT3V3Z5Uhp9N0FBeT7u3lhrXrpiVjYXs7P511DRUbmjGm09jicWj0nbT3KqIoWGSJncEQ5+Tm8qeeHn7S2oZBEPhQRQUAA/E4X9+1m2/MnsUPmlv2y5g/jxGXm7jRCGPJ9n/Y0sZXn9+CzSjzwkcuJ+B3kJRlCkIBRE2bpMfKxUso9nmRDzBMZvqZ23f38/VNb9DYM8I5Ffn89UMXT5JxsB7VOftDLQ2oxFURs3jknkO3nMYrGHBryawy8rUE7oEBhkQr1Gf/2a00JykYaIOx6D2TqDHbGmdgWzuDS2oxGQQUrZHd3cuYW72GQGRiXxpBgHxXhFllNq5+q8QzzzzD5ZdfztVXX40oinrFMJ3TinA4zPXXX8/999/P97///Un7+/r6+OxnP8tzzz3HlVdeeRJGqHMi0T0rOkfE9u3beeKJJ3jnO9/JihUrePfy5XzlK1/hnnvuQfN5scsyUZOJ7tE0jiEv7fEI8bEJy45oYNL1FE2jKZbJRWmKBVE0DWMkTlKWaTQXsMGQS6Mvk5cRVRSawpP7rDSFQ0TH4rLX+ybncCiaxma/H4DNfn/WbvHrT3EZAiCm07T4MwbcnliA4iIThX7/uKFyIvRwyjKdYyvbp9K9GnG5xvMVNKArL29cxnaPZ0KX9So1xKjLlVVG2GwmvrySxRUKTbnStPXYOTqKc337hGdxNHocSsaR3Ct/KsUTff082N2NKEB87Lx1Y8f+pqOTu1ta+dmCs6ix2SbJKAj4yau1EE+nkUWR17tGAIgk0+wc8rOgRsOUTGEfK+BwoB5vCEkcdQ6UAzwrJ+IzmBBFNvRmxtnYO4qSJe7qYD0ORCxz8e/X+/jSH7eO92KZLi5JIVaWN6WMWFUBoYpCiiotHMpmsEgarRUNE7aVmFIEN3eiKBqaugK3XURAw2XOVG4aDVoneGu++b9DzFp0K319fdTX1zM0NEQodHr3p9KZeTRBIGw2z8hfUpZRFIVgMDjhL5HIXi0P4Oabb+bKK6/k8ssvn7RPVVVuuOEGvvzlLzN//vyZvC06pwi6Z0Vn2rS2tvKvmz9DdSLBnQ4HOOzsntXAN3c3UW6xMKe2lo1RGTmUwObJGCZL7TmssOcymIpzbV75pGtKgsCHC6t53j/IW9zF471GPIMRcga9KEaZdy9YQFPjRhosRi7Iy5t0jQvy8rg0P5+eWIyPVVVllXFrfT1/7u/j/aVlWfuZfKyqio5IlAqL5bSRURSaXHBgpvVwGgzMtjuQBfGUulc5weB4EE5sZRUuQeJ/6uv5c38/V9XU4JetONVMp3kByGmw84Gh2RNkaEDAZmORmpnYLdRcXJqfT2ciwQdmTy4BfLAeZlVFXFGKur6f0Moa7I0dJ+29UjW4qaqSSquVUpOJtkiUrX4/FRYLj/f24ksl+dmCs8avkU1GsDmIzxaizGnhqjkVtHpDVLltXFpXzLZOiVLfyAQ9VsyqZdjv55aVDeSocUKyDGMhXSfi82FSNW67ZBF/3NrGhxfXIomTZdy8avYEPQ6koGeQC/Nk/vxGP++4o48ff+ptLCucXpECQYBKU4JW0TFBxjl15bSLTmbJCk55erlLdd0tcNDQq80JWtZ3MefiGgZ8Cn0eN3UlzwMQixsISiZctgTDngT3/PJ3zJs3j7/85S+k02kkSSIajeI6CUUQdE4fRINIzsKcGbm2JWLhjV27Jr2D3/72t7n99tsnHf/YY4+xefNmNmzYkPV6d911F7Is8/nPf34mhqtzCqL3WXkT0tHRQXV19RGFBdx3332Ef/8EZfE0cZed0nwD/Z40pXkymiDS701hG/YhzVDytSYIOOYXUeI98ZWVdPbjTyb5aWsb350392QPZQIBqw1RVUnLEqZUiuSSMiRNw4iCSVMwo2DXJlYx29Gmjb9PaVEktKKaKiWEkYwXZkC0MtIaRVYURE0jPzDZM3goNCbNOU8Yv27vYHmOm2U5EycfdzY3A/C1WbMOef5QPM7Hd+2mId/KJ1c0cG5l4YT9e6Qccta17otYImCzIZ9VgIhGmRpGJNOLxdLYdbxUOizDbjdzGqTjFi4wKpjJr7GTa5h+6d+2mBlz9wgGVLpFB/kVFqrNU68eH9F4UjLK/FoqCmRGgwqj4VfJd0YJhq/AG9KoLnmRVEplTfuNXPfBD6MoCpIkjeeq6GFgOlOxdu1a3vPWy9j0mZkJp/q/tXvoLFvAvffeO2G7yWTCdFDD2J6eHpYtW8bzzz/PokWLALj44otZvHgxP//5z9m0aRNXXnklmzdvHs9Vqa6u5pZbbpkyCV/n1Ebvs6IzCUVR2LlzJ7Gx6j3TqcG/YcMG7r//fip8EQzxJI4hL6FdQzgGPYR2DRHeOYCzf3TGDBWAmNtB+ghLseocf5yyTOwQCdInC1c0QsBuo3ieHfOiAuqVADVqkDI1Qr4Wn2SoZBAYzMl0Tk8aDOSqiXFDBaBEjbKwFhyzXTgiR9588GRODeOqil2e7Dj/2qxZhzVUADZFIly4sI5fvu9iVlUWEhQMqICCwC4pF/PW3gk/HrZYjLYRkTw1Nq73iU7nVkQR7Tje9XwtTk9nnPARhITVmuMoVXmMlhfTUGM4boYKZJLwA1szRRLynRJq+jwAPOFN2PKaADAYRFp3v4CmaUhj35epVAqv14t6Cn5udd48SJKE0+mc8HewoQKwadMmhoeHWbp0KbIsI8syq1ev5he/+AWyLPPKK68wPDxMZWXl+P6uri5uvfVWqqurT7xiOicE3Vg5DUkmk0dcO3/v3r2Ew2GSySSrV6/Gas00H5RlecoqMeFwmKamJv7w1W/xtbApa+jGiSK30nnSZOvsRzyCRoMnklGnk/oaCYeWolCbXhndBXXgdTpJSRIJgwGLlt1wL1fDRJdVAqAKAr0FBXhX1aGcwivVMUXBdpTG/Z96enmhf4DPCnba2jJleds7FHa3auxu00i3+BAXFU0wC4ZycnBEY2zvNxAdiy4WOLEGi6neiaAe3wWTCjXMQMJIZ9xEXD30895X9rjSnGSeLYZLPv6LN7Kw/47aLQIDo1dgtyRIpET6PZnvyOvf2svvf//78eOMRiN5eXkTPru64aJzqnLZZZexY8cOtm7dOv63bNkyrr/+erZu3cpHPvIRtm/fPmF/aWkpX/7yl3nuuedO9vB1Zgg9Z+U0JBwOk06nKSwsPPzBZLwpoiiyZs0aKisrWbFixfj2559/nk2bNnHbbbeNH69pGvfccw8bN26kuXE9N6ZsYDRPdfnjTlG9m6FW/4RtwVYPuTXuEzYGndODtCgy6nIjqQp2jrxT9zmFYXqKKxEFMCnZk5AFwKCp+FfVoiCwQAkgKH42FJfgjEYoOMLwsBNBQlWwZvGsTIfnh4d5aOnZaCvKkFpijIgWykbaJ/osPKMTzjE1uCnWEhg1FduY0VekRml1uykcS6yfSd4IBvnNI89QYhbpD8Z49AMX4DIfuvnsdMnrGSSNwG7RTl2NcUojJK0JCILGTPp/95VWTqU1mnp3U1s0F7cjQu+ojGp14Q2lyHXEaN72GBs2LGD58uXj53o8HlwuF6IoIooimqbpoWE6pxwOh4OzzjprwjabzUZeXt749ryDctoMBgPFxcXMzpJbqHNmoBsrpyF2u/2IauZv3bqVuro6fD4fH//4x/nqV79KKBRi1apV/Le9lLt3r2PDhg2cf/75DA4Osucfz7EqKfJuixOEPDg+v/nTZp+hogkCqiQipRXiLjvFY6WMdd6caEDEbCYlywhnFRJqC5Ffa2WeGkY8yq8yAxq16uRCBQdjIc1Aa5xFNfsDjVaWJxgV7ES3xbEeoqrNySCuqtjEo5s2O8aMnOjWEWyiiLYtdtjgqvx1bYRXVlOk7Tf4jKg4Zrug0X9U45guP2ppIZhKc+eqleTPdXH7ky/hMB7fnzYZjWo1xGCymLaOJGc3TL635il6sBxPjPMyZacNskCeM0IopjESzKe0UkIjwWCPlVxHjP/5sMa/1t3BL3/p5oEHHkAUxfEJns/nIycnh76+PsrLJxc90dHR0TnVODVjOnQOidFozBrrORVLly7ljTfe4KMf/Sh9W7fyrQ/fwKfOOovfFOSTa7PyYPkibmz2EP2/h9j024fZ2tVGJJ0txh/Whzx8rn0Tvxtqz2oweVIJbuvawW1dO/CkJk/gNE3jd0PtfK59E+tD2Y2P/TLaxsNISvLk8QnTYDzOjZs2c+OmzQxlmSRqmsYPm5u5at06Xh4ZmbQf4OWREa5at44fNjdn1UOXMbUM7aDgnhOlx/XbtvPZ7RvRKiTqlQBLqlUqxpK5NU3jthe3cv79z/JsS/YkvWdb+jn//me57cWtWWX0B6Nc/aeXufpPLzMQmhhKVqTGWFSt8s2DZORpcbTF+3sHnSrPfK3Hyye3bTsqGTVWK3fu3csHXn2NX+zciSlLk8ZsekT3+mnsM9El2lHHnsf7fvPkUelx0+Yt3LxtG+etXsMNGzZO0ENVVb61u4lrGxu55NXX+NfgEJcW5FMaDBLd6SOuieMhT8fyzPfdqwPfK7HXR031CV69mQpNoLLoRSymNKmUgKaAaHEAmepkC+bnUZbn46+P30nygGcYGPME6oaKzunCK6+8csgO9Z2dnXpy/RmObqychvT09JBKZTcmsrFr1y7e9773cUEkQk88zvZgCJckEiwuwTa0v7qWWzayOjhCfzLOwyPZq/g8PNJJfzLOv30DdGkp4g4L/soi9jV+ftE/RFMsSFMsyEuBIVRJJG0yoI5NHnqTMf7tG5iWjGe8AwxExlZqD5hnPNk/wJZAgC2BAH8eGpp0fns0yiO9fXRFY/ysrR2AlCQxmJPDQG4uW9I2ftrWRlc0xiO9fbRn6Yj9J49nXMaTWSpUHCjjzrZO+vLziRsME445nIwD9TicjH16HMybScZOj4fNvSP8Y2vzpP0tnhAPbGql3Rvmjld2ZJXx/Ve20+4N88Cm1vGu7AfyyPYO1vd6WN/r4ZFtHYeVoQG9op3krv0hUafKvfKn00ctY1VuDv8aGqY7EuHx7h56g5M9T9n0KPD7qRwaIiHIvOpTeGBTK93e4FHpYZMk5juchBSFbaEQn9yylavXNfI/O3Zy5bpGKiwW7pg3D08qhTeVGpcRM5kmfDce72eepyUYTRkm9GEZiov89JnurDoeC6H0xJ/nwaSBApfEgDcThlZXvILRoBWT00Y8KZNMy1Q694+j0tHNR96tct6iHXz3u98d335wErKmaXoOi46OzimNbqycZvT29nLPPfdgOGhifDDbNm1i8+bN3HX9h7hkxQpeWraUpTluJEFAEgSWuFwMD8cRD2iclm8wUSBnPDaLbe6s111sy5RCLbJamdtQSCQ/BzGVBgTEpdXUFhUjknmxqkrK8FcVk15WhzIWlnEkMgpkE/kGE7EcB65IpkeG32ajpqIcURAQBYHyqupJSbwlJhOl5kyOzaKSEjZpTnbFTQR3DRHeOYgxHGNxSabkYZ7ZglBSQl9+PkPuHDQgajJRLLsRD7hXwISmg2JxMfljeTxnmxxEt/ezNyTRaMonZsysvJ6Xm6k0VWo2U5LFE3a22zXheRzMgXqcm5u9/v2ZLEMRBPrz8hjMyWXeObPHZawon9yDo8xppdyZKRpxUU1RVhkX12T6apQ7rZSNHXsgK8vzj1jGaHuUnHD4kHocyIl6HsBRy3ist4+3FRYcsR4CYFAUcte1UbPXc1g9cuTMd1ix0UjeQd9nsihOkPHVWQ08tmwZP11wFh8sL+PjNdVUWSyTZBR5PeTk5fOhp9bz8afWklIyk/Dj+cxzewbpTmTuSVwVeOw/7dz2xAvsHT7yinGHwi6pyOfsLxEen1VNjl2kOCfzs22QNFRVIOqLUV4cIRkMY5D3Gx2CAG57nE0bIrS1tU0pRxCEU7Zwho6Ojg7ofVZOOx588EGi0Sif+cxnDnncd7/7XXJeepGLZHlCvPlgPM5O1U6uxUJJnoHwzsEJ58VUhdFUgnKjJWvyZdRtRzBGqQessowGdBcWIasKJR4PUZOJ10MahmgcR24upTkS0e39RyRD0zR6kzHyDSYsooRpcTnOSBRXJMx6Qy5LFT+7jUZC7T6cdgfFFXYKAv6J40yneSFpZHYwgZSlk/WBMsyihACkTQai+W4K803Et/XS7bZQZVNxulykZJmeiMAiJYDX6STUNEwykRjXQzUaENMK5kVlVAwPZyohaRrt0SglJtOUyc6D8TgAxebsBQyi6TQDiQS1VuuU9+pEy/jSzp38+KAEyGOVEZckdqcV5ihpjEYjqigSXVZJrRIYX1HpD2ZW30uzTDoh0zG8LxilIc8xpR4tnhBlTiu2KXIapiPjxaYY71xoJyKaaO1UqBweJiVJpCUJcyJxSjzzz27bzm2zZx2VjHVeL0/1D/CJmuoZ1ePWHTs4Ly+PdV4v/lQax9j3iaJplJnN/L9ZDUclIy2K+BwOGmYZuO25Tby1oZQV5fnH9MwPfq9CgoFYeT5KX4BCJcIeT5iyJXXUWqfX+PFo6K6ZRX1pRodkWmN9c4LCnLUoikhxpZH2Fqgq8k06LxqX+Pe2d/PpT396xsamc3pzIvqs9FQu5uGHH56R6+uc3kynz4qeYH+aYbFYeN/73jdpu6ZpaJqGKIrs2LGDbc++yHVhkd55hRR5PQjAZkMuiTwzbm8QR98I4YEs1xclKkzZf7QBCsvtlHj3/yALQNXw/lAsezzOpWaJHZIDoSYf2TOKaXE58a2940bT4WQIgjBhf3xrL2GzkWhDHkrKhBRUias23NYE1YUyzSNJTG4rzgNCSVJOF7XDyayGSjYZAHIihbNvhHhf5t+V/hgx1YYyOIomiuSl0jTnOjEOjCCn0hP0yK3PpTMqMjsSGddTEATqbLYp9YSpJ2H7sMoydYeo6nQmyAhYbRiUNItUlaDDjTY/H4A6JTDB0J5qMrkPm1FmVv7UJa4FQTjk/unKqHS56BRthNvD5I15VcIWS8bDcoo8D7MkHlLOoWSc7Xbz89Y2KiwWjIdYcT9aPb61uwlREPCl0lxbWsq1Y43djpcMWVVxRSKMiiUMR+L8Y08vnf4wK8vymVPgnORFONL3aiAYZfOAl6efXMPSigL+e1kD8/MddPXFSNdLyAfZZWktU8XLJGgcbfEtT0rGbc+cPORXcNsEJGk7yZRMcW6IvqEcPCENg8NGqbV3ovxUgicevYfFixdzzjnnHN0AdHR0dE4iurFymnHttddOGQKWTqd56NZbefHxv3N9XgWg4u/w0ZefiyCAHE8ih6OkHDYUg4yUOrJSrzGXnaJY/LDHGRSF0jwjgdeb8BhktLOrj6mgmADY5haR4/ORpwURgITDSoVNY3vKgDs0SIvRzRJBQBxzFLbEZFzByauMR4o5OBbaMRZOYvVmrxw13BPCurASTzxOxGxG0DRssTjO2OScAp39RMxmrAtyEdBQEMnRFPLV7CWETxWWVKvEtShDdXYMGzPvWGRBGammIXJCIQxH2ANpJjiCYoGTMIoit8+dw2e3bedXixYiH6cQIVVVed3rwyRJfLyqkuQUCwnHA2M6TRSRB649l8FQlDWdw/xlVxe9gczn8f5rjmzS/nxLP3k2E0tL8/jWS9twmg187/JFvOvPb/DBa88j0ROkTA3TEy+kxrK/GICmwcY2cGoJIoJMbpkVt5wmz3DkZbYn3i4BqylFRd557OjeTEXhIAVOG+FoLjFJxmJKExaL6OnUmFMxzB23lrFt+/YJxkoymcRoPEWKBejo6OgcAj1Q9TRjKkNFEARuuOEG8l7cwgfyKsa3l5RZMYWjFLokNEHAXemi2pzCPrcQRZZIWTKx16nD9CSI5TjIqXZhTRzeWPHb7AwOxREVFUM8CZs7SZmO7kexsD4HxSBjSSSwJJOYxpJnV/r7KfZ5kRIppGQKsz9IyGIBMg3qVPnEdrs3hWOY3tiLsrmLyI4BQruGiFhOXG+a05Wg1UqJGqVYjVE61m3+eONoyJ4zcSyYUahUQ7CsjIHcXAxNQ0iKQm9BAf15eainef+KWTYbmqaxI5gxHP3JJJ/dtp1XR6cuH74nFOLx3t4p9/91YIDfdXVxYV4ehWYz5VbLcR/3gcR3ewkKRoodVt6/oJpvX7qI+685B5Ms8bYHX2R1x+DhLwIk0yr3bWzh7jW7+MTTaxmKxPnJ25cBsKKhhBpLgqggI6MR6M0sbvhSEhtaVRrbwKKlKVaj1ClBcroH8XaEGEgcOufwYPIMaQbXd6NpGkVuCZNBYFH1ebhsIufNWUogeDHlBQEcggeTMY2mgRwfJSU56R5xk0xGmD9//oRr7jNUjqQMvo6Ojs7JQPesnCFEIhHCr64HV9mE7b6mEexA3B/GmUyRGDURFwUUowFzWiFy/lwMr+zMGBVTEC7MocYF6WRy3HORjbjBwE7VhnkghC28vwxoym7JGC6JI4/nHm71IQH9QwnU4lyKfZnqZUZFoT83D+eeYeIuB5HCHOS0H4CuiEi4OBerJ4ApPL1u5sebtNmI5RTrvXG8OF5zm9gJWtUNtRy7hy0bAlCqRiitE+gVXWhbBnDEYngdmZAhDRha1UDxupYZkT+TvOr14kun2Bzwc39nJ5Ig8L6yUn7f3c2/h4ZY6HLywQNK3/57cIjnhocpMZv4XVcXN1VVcdPmLfhSKZ5YvgxRFNkTCnPHvLmUWWbWSNmHLRYjKOTi1CZ+79xz1Qr+tLWdH7+2m+Vl+VinyGV5obWf325sZe9okM+dM5ubljagqireWOZ6f93VzQKXg46YCVuZAD0h7FqKtpgdT1+MeiU4qfgHQJ6WoLM7Tn6djOEIerNUmeLseLGThVfUTNguCAK1xTKdow5K8jKe3yGfnUDUjJQK0RctYXbBKO/75A08+vg/mDNnDvJY6Ny+8GFFUca36ejo6Jxq6J6VM4CWlhY++MEPcpFxYjx+TEnzpKeX14IjyMlUplpPPIExGscYyTR62/73l3nS00tMmRiWoEoiMbedoXIz/xlsZmhwiPxAYJKxEkmn+W1nF88MDbE7acbVMzzJQNjS3sozrU2TZOyjMx7hsZFuOuOTq+mkLCbCgsYaXycv9+wvyxm0WBntCSGlFQrKbWwLD/FARweRdJq5UhTHgAfjAeM4lIyD79VUvBYcyXqvssmIu+y4IhNlHXivpuKZoSF+29lFJJ1dxt5QmF+2d7A3FM66/0TIUDTtuMj4dVs7fkd2T0o4keL/1u7h6d09U8p4encP/7d2D+FE9jLeu4b9/OjVXewa9s+4jPWb+klLEh6nk2KfF1HTSEsSqUScn46M8K/h4SmNs5l45gc7do5UxkX5+Tx49tkIwHl5efxw/jxawhHeV1bKN2bP4oGubv7Q3c06rxdVVXl6YIC3FRWSbzTx0vAI39rdxDuKiri5ppr/t3s3t+7Yyc5gkKcHBk/Yu2tMpxlpj7KvPlYSkX/3W/jF2j3YjAb+e2kDn/rbOr787KYJ13hwcxvX/OkV/nftHu591yq2fvad3LS0AQBRFBmKxPnRq7vIsZrZ0DWEpXsEodcPQK6WQGvp45+vNfL07h4EyNpQc+vO3Tzy2mQ9E6qAMoX9YpE0zKJKNDG5zLDdImIUV5FMZzzKiZRMVaGPuZVDzK3zk+eW+c/D9dxwww2ED6het68S2MGGSuIMXWjROf248847EQRhvI9KKpXiK1/5CgsWLMBms1FaWsqHP/xhvQjUGY6+lHKas3HjRq58xzu4J6ceaawh2D4eHuniOX8m1MEtGTnLtr+MqZRKsyPi52f9mZ4Vo6kEnyiuQwPCxXmU5clYolGufGE1gXSap2WZ1Recj3jQLOhnbW38uS/zJfEztxuj3YYpvD9PI5uMA1E1jW937ySspnnGN8DvG1ZMkGGIJbjf18NLQ5kJZf2SxSzPyWFv0oRFSZI2yqxt3MOvenYBMBRP8Olly3Dt6B+fJBxOxuHu1dHo8cTZNQj+CYdMuFf5RiPLcyaGJ633+fjKrt0ADCbi3DZ79iQZ/71lC4F0msd6ew/7PGZKRnM4zH9GR49aRhrGZTzZ282zX7gOF2lytP0TpDtW7+ChLZneGYV2E+dWFk64xutdw3zmH40A9Iei3PmWsyfp8f5H1+CLJ3lwcxs7Pn/VJD2Opwy3uY0/XfUuRCBqNGIda8L365c38s8dmXvxo5xcLj6/FlPjfqP7VH7mdlnmY1VVAHx/795xGb9bspg/LD2bpmCIvw8M8kBXN4Um07iMtxTkk2s08p6yTOL8ZYWFqJrGRa++xm86O0+oHqWjo3TXVlGthjCismbn6/xh7Jk/8cEL+cP7zufC+59jY5+HZWV5vN41zNdf2ALAouIccqzGSTL2PfMShxW708ov39jFF1bNhrHcnh+t3jat9+oj5y7kxgsz+zQN9kQtqP0BUhp0awneNXvi9zlApSlBy5pOFlxRO2lfQ6lMc9+l5LlfoLLQTyBiIo5MWJPJsWeOueTCRbjd7vFzYrEYRqMRSZoYNnskTYd1dGaKDRs2cN9997Fw4cLxbdFolM2bN/PNb36TRYsW4fP5uOWWW3jXu97Fxo0bT+JodWYS3bNyGpNMJrnhhhuIenzZS5weJm5eyLLmFy7OY4EhSpHPhz1+ZPkDaUnGcFACfjYZUyIKRC6YN95gUjHI2M4qwW7Z/5pGTGbSooicSGKYX4KgTZQhKQpDo4kjkTotjkgPoM+bJmC1Ej5MNaOJMmaeU0HGgd45IaVgbeyitzWRNWRmShknQJEjkSEAi2o0VKCtrJye/AIG8vKwaPs9AHGTiVBTYNJ5M81MyCgxm7m0sIAfzJ/HfUsW8+6S4vF9bqORW+rrDnH20XE0ekiaRnSvn8TYT92B10gjEEfid9eew73r9/KJp9fyo9d2je9fXHLoXCen1czfvvZ+TLLMR/76Bv/91Bt85z/bDq/H2CCe3rKX+17oIaXCcMqArXeEEjVKuRqhsTX7KrEKRBWJ1pdas1xX4MBaCC5bApctgRoJsbZ1DmkFCoonGngWi2WSoZJOp3n11Vf1RpE6J5VwOMz111/P/fffT84BCxcul4sXXniB97///cyePZtVq1bxf//3f2zatInu7uPfnFXn1EDvs3IakkqlEEWRO+64g+d+/H+8J6+cavPEUqaxHAd+s4GnmzrJsTp5e00Brr7JIU6vBUcYSiV4h7sYiyTjmF88nhcCmbCKl0ZGuKyggNkO+6TzI+k0j/b2UWYxs7K+nt7hJBbfxGpOrwVHGE4lePuYjIPpjEd4LRVicWkF+VWVmEIRyp0CsqJQ4PcTHZNR4HBQUlxPqUti0JtCTiSxjfjHZQwqKa45bzE2WSZ+UG+XzniExpCHlY68SfcKMmFgz/gHKTSYON9ZkPW+T0ePfTJyayooKjDTGxVZoAaxxeMT7tXbi7I3LnxmaIi+WJwPlpdhyxJDfiTPY6Zk3LJ9B2c5ncdVRlKWGXW5SBgMLKhQSSfi/H5zGxUuG1fPq8giIROi1ROI8NGz67CbJics7xr280xzH2+fVcb8Qvek/eFE6rjL2N4OOaEQoqoSWVZFMJHixadepcxiZtHVF1C8rmVSKOVMPPODe+GcDu/VTMnwrarFoKlUqyGCiRQPbG6j2mVj5Vmz6e5WWFk+MeTpyZ1d9IVih33mb5ldRXFhAYXa/nDTjzzxOvdctWLK98onmMjREuPv1Y1n15Gor0BDIL9nYHz1sD0vh2X5U/80hxWRgeo6qgslbOb9Fko4ptI+/Ab5zgiBiJkCd4RQzMiAx0lD2Sh3PbKAn/zkp+PHq6qatSFkX18fxcXFkwwZnTOTtWvXcu1bL+flm6+ekevft3YXg6XzuPfeeydsN5lMU3rxbrzxRnJzc/nZz37GxRdfzOLFi/n5z3+e9dgXX3yRt7zlLfj9fpzOQ5en1zn1mE6fFd1YOQ2IRqNYrft7ASiKwk033cQ///lP7iuYM+n4WI6DdrkIwb/fy1FtDyKm05hD+0O0klYz7rocZFVFQ6Dfk6LSLZAfzF6e93CogsBmwQUCGENR5HgK29xC/N1BCkushHdmaewC2M4qwZhOkR8Mst6Qy/KUd9IqaloU6SsoIL6tF1HVsC0oYcCTxtk/0QALFeaQNpvI6Z5c6UcTQDhBhW9UUcAxr5jIzgGCJfksFY7unp6KfHXXLm6fPQfzDFRc6z1nNg4tiVlTyFPjSGgYOH1WeAdEK+Fdvgld7U8G2Rp3vlkZcblxz3HQPCixvDCKlZkrLf3xp9Yesixyh+igWg2Nf78NlJcQGIiSrybGK+H1iHYaao1YpcO/960VDdQWy5iN+78xN7WtparIRyRmYMDnRBQ0TE4bZbYeGjveyjvf86Vj0lHnzGPt2rW898or2PTD/5qR6//imS38qz3O9u3bJ2z/9re/ze233z7p+Mcee4w77riDDRs2YDabD2msxONxzj//fObMmcMf//jHGRm/zsyiN4U8Q9hnqKRSKf7f//t/BDbv4J1DMd6VxVABaLeXIQxOnCx1OMuY27t3/N+aIBDLsdMQCGAcS1YtFoFjmFOLmsZcUxxjKsVOk4VwUR4uJUVlnkRrUMPstGEORnDNK2S0zT9eHUzUtHEDaUXKm/Xawzk5JLb0IAJpo0xKkjFEJvfjsPhChIqzJzJbFpYR39Z39AoeAaKqERkzzkryDTB1xdfTDosoEUynZsRYKV+beUfTokin3UFKlslvsCJpGm4tgfEUNlw8gglvc5jCk2yo6EykIOCnv0XiojoYFix4BAm7lmLXgMycEuW4lstu9gRp94aozZ2cbwJQc1APoZLeAUoO+PewYMFdYcMqTS/B3dHWSTSnboKxIggaiipgs6Sot3iIJ2V6R6EzlItncCuqqqJpGpIkoWnahBDiqTwtOmc+ApBjmBlD3iKpzJ8/n1dffXXC9mxelZ6eHr7whS/w/PPPYz5MGHUqleK6665DVVV+9atfHdcx65xa6N9KpyCappFK7a8+FIlE2LhxI5ecfTbLW1t453B8UnLqPuIOK8T3x8lrLhNquZM6bxfiWGNDDUjYLMRynITN0ysj6rfZDpt/oQoCgqYRNxqZb4ozXwnijERwRiJU2xTSZiOGJRXIioJzdj6O+cXYzyqhM354m7knIo6vRoppJdNEMEuIRizXySxzilBJ3qR9J8pQ2YciS0RznPSGIXEGlQW1yhKBKaoxHS9kVSU/GKDE6yG9ZYjU5kF2d5z6/SA0hPHSxTqnDnmhIB2ik+h2D+bGLgLbfdT39eLf5adNcqIcp8ye959Vxc4pqs8djiHRgqPKQZV5+pW4Cg0pRgITJ5iLqs6htS8fRc3oZDamKXRH0MwOLFIfoiiOh3cpijKh8tfAQHbvd3qGP+86Zz6SJOF0Oif8ZTNWNm3axPDwMEuXLkWWZWRZZvXq1fziF79AlmWUsaa7qVSK97///XR0dPDCCy/o4V9nOGfODOo0x+fzjSeRCYIw3vyxpaWFT1xxOYtthXy8qBZT66GX6OM5ToSBzEqhJglUSj4cHRO9FdE8FzGXHUFVSRin15zMHcle8hfA43TSGQQxrSKHEwiKgmIyII/GUGWJlNWOuSNAwax8+n1p7GYBVySCoIE9HiNvGhN5QzRGsDgXUzCKv7aMJcER1DI3qeGJPTTMwQjtop3/z955R0l2Vef+d0PlXNU59/TknjwajSQkJCGQjEAEAcYGbDAYeATb8LDBxmDAJtoggrFlMBnDk8EkEQQSKIeRJufYcTp3V843vj+qu7qqq7p7ZjQBcH1r9VozdcO+55x97j377L2/3eETmIpal6wfc6nhWd9IazqNYKax/R597N2STFKtTuV7KeBQFGa83lkP4G9vDH3IzBNaKZDGwbhUh2PP8O/VuP8uw6aq2J4eKP7fnSvkmfjTafSnBxm6uosVxrMP1bymo57/ePoU//LYUT5406Zi1fvlEBOshDpdNFjP730lCGCcOAtt8+xgkiRwzeqr6JvQCPoeAMDrzON1DuHs1hkaGqJzluVN13W+/vWvc9NNN7F27VpaWwt1uhZ6XGo1WGq4XLjllls4fPhw2W9/9md/xtq1a3nf+96HJElFQ+X06dM89NBDhELLz7EafrdR86z8lmDhroBpmjz94x9z5M/fxHt37uQamxd5ZJKRfGbRisOmabI/DW3SBKZVornVwD05b6gYkkhYzZOdmMI/PIElqzCg2dBLPkppTeOQpnH2mtXMlDyTJoqYszL60ulinQNdFDlpurDHU7gnI9jjaVLRKNmJKayZHPZEGs9EGEtOIXtojMDgOGdPzfDEYIQzUYOxUIgjioOxUIgZr6/YjuO5HKmShd42McUGaw7fqhDXRkc4YrMzfHiIph5fGYuUJZvHHk0SEUVOeqwoJd4XxWUvnmuaJmfzGbLG4m7vsJonrC6+y5nVNc4uMR7jU3mmZmYQlwgLmsjlmFiCdS2tafSl00uOeV86TWaJRfHFluGSJRJaeb9dinaYQMpuZ9rnx7UugL8xz1giU/V6KCTMn5pJLCnj1EyCtLJ4X40lMuctIy5YmRAdRRmjMxGas2GmAoGqDGeXY8xzuvE7p1dXSsbh9c1EnupnSqjuZT4fvdreEuI/X34tn7ptG0+PzPC67z8OLK9XU/VB4hcYjSYLJqpW/mySJBDL7Csr4KrpAnVBK9nsPCHAiRMnuO+++3j/e17JyZPzYcLV2CVrqOFywOPxsGHDhrI/l8tFKBRiw4YNaJrGK1/5Svbs2cN3vvMddF1nYmKCiYkJFOXKbU7WcGlR2y65wgiPDBFq66xgXfmzP/sz3jE8hK25hfThUTRV5d0DB5jW8tweaOZNjeU8+7os8ZlUmKefeBK/3c2/bLHhGdXKghsOtTr42AOFj+fHr7+eBlVjZ36meDytabzimd2M5XK8cHKKt23diikIiKaJpOv40mk+dfo03x0ZpcHp5OvPu5n2TIbrkuOE27wMJVwciYW568RewOSD7b1scvnLnjOra/z1mZJ2RFfgAdITELNbya2u49tPPsn/GxklZHfy86u345zd1bNpGu3T0zwRi/GOBx8C4B3B53ODRUZS5xcjWjrDX9z7JNNanpesXMnr5QKzkDU9vxr42tQAv4iOUy/b+OyKrTjE8v4/lI7xT7O1WxZrx1LjAfDd04f59egALXY7P7x6R7Edc9gVifC2g4WEw7s3b+KaYLDseOl4vKatlb9dvbpCxtx4XE4Zblkmoc17Vi62jP++9hoyoRAmAu0rbbSYKk/39/Ga7xV097t/eD03dJWzRaXyKs/72gOMJDK8cftKPvr8LRUyPvibg3xt7xnavE4eetOtuBZULn9scPKcZIwlM7xhW7kMc3amlcr4rze/DGNGQCpZMV6uMX80HOaFT+36ndKrKybjiw8D8NnmW3llR3muyYXq1XUdDWxo8DORyi6rVzN5g3h4hmtWVjKknQvqLCpTcYPWUPk7bFXzDqaTjxD0ZBmPeLBJ1xDL7OX0yT2sXVvId+zu7iabzfKdTzbzP/f/K2vWfBFFUbBarQwODtLS0oJ1kWKmNdRwJTAyMsK9994LwJYtW8qOPfTQQ9x0002X/6FquOSoeVauEAzD4OvveTNP/OT7VY8P7N2LYLUSOZtANExmNIVprbDLfyAdqzj/eOdazkyPABDLpUhPTmPJlXsFDp4awjBNDNNkYHSEq4zy+0zk84zN7mIenZ6gpduGRdMxKYRLCMATkYKnZiqTYbhl/uMaSibYJiRJxMYwKNSbOCBrGJJYtru8VDssOYXU8SkejBRqUYRzGY5ZLKgLDLmDkWixHbGZ0TJDxRAFhr32ooy9U1NV+/dAuhA+Nq3lmaniPTmeSWBQqGtwIlsZHrLceJiCwJFIQfZYLsd4lYrQ+2JxdNNEN032x+MVx0vH48lItOI4zI/H5ZThlmXS+rxn5WLLmFjpZX2PyKYeCMwm1T89MlOU8cxIZSjkWDLLyOzO9SMD1SugPzxQYIgbSWQYrbLLfa4yXnfrNTw+OK9XPlOh2chUyDh5eKbMUIHLN+bA75xeXWkZew4Moy3IXbkQvUoIFvpb2nigb5yrWkPL6tXpnMAt3c6K3+egm6AuwSvhkqpXtQ+4RZKZQp6hLBqEvCLr265mhXuAD3zgAxw7dgyv18t1mwvvz9WhfYTD4aJx8qtf/YqvfvWriwuuoYbLhIcffrjIBNbV1YVpmlX/aobK7y9qxsoVwqP3fIPb5Cje3qvKflcUhR//+Me8RBCIeDx0zu6WtVkd3B5opsXq4E/qO8uuyXmcCIk8t665mpbZ89qslSENN7R3s66hnrUOLzetrWQSW+F08pq2VrqcTt7T2o716WH86VQZlfH/7emhy+nkJVdtoGdGKYaHzeGVzU1s9fnY6vPxjpYQwdV1JJvrcG1sJhvwLNkOAEnVeEOgjRabk5esXIlmCXDAcJcl99/Z0lyUcWdzM1n//G6oKYpsXlHPS1aupNnu5LXe1qr9/yf1XUv21fP9jaxzeFnn8HKLr7Lmw3LtEEyT1wfbafN4eE1bKyuclYuRsna0tFQcLx2Pd/dUem4A3rVyJY1uL8/rXIm1Y/45jiSkiyZjbszn2uGVZVIlBuLFkPG2devpCnr5s+0ruS5gQVoQQPWaTd1c3Rbi6rYQr9ncjQlkShzDq0Ie3rh9JT1BD39/08bi79aV87vxH7hpEz3BwnmrQpVsTQtllMIE6utCvHH7SnbtOcbf3lidFvgDN22iM+jl1dvX0nFVV8XxSzEeC/Gypkb8srykjD9qb3tWMi5HOy63jNcFAwxI3jK+ucX0qhSletUa8jPT3IB9PELQYePRgUmePjtT1Ks/3txdkcy/wWdhLL94kIMkwINHzi56HMCsHqGGbogYBtT704QTBm6HyJYeFzdveJr//uqbGBoaYvOW7QCsWeHgi599P2fPFmS97GUvY9euXXzzm99cUnYNNdRQw6VGrc7KFcIX3vgKXt4gEX3NB9i0aVPxd9M02bBhA3/dvBrXdAxZWT6R2QTS9QHkvII9sXgivCGJiNu6SA9EwDRRXXZWOHVCC+qq6ILA2cZGPF0uQrv6qt4rL8tEPR7SDgfeDif1uyorKi9Exmbj3eerDAABAABJREFUmObAMzqNaJwfs5NzYzOt4erkAnvx4h2bIdUQoKHRgSuXI+5yoRxY+gN/qRFva2CjlMZ2CZPRTSDlcJBwuZiayNJcb2MkbtDuFWiMVd9tfrY4mkjwwNT0BVUpTzicSJsaUASR3KkYvlUFoyHal2Zjt3nOuydxwcpoYyNrJkbKDBsVkeFrttKza2/xN2FFCL0/jAjFM883It8EhkQP7UYSEwG5SjZKGpn+PhWrpjG5oZP1Tx6uvNElQsZm41RSYos1Q0bT+KeTp/hE7/qq52atVqb9fgQT6uIxHLU47yISO7tpMdLYz6EWSwoZN/NGew6JJy3NXN+WJ6lJhM4WPC5/eM+jfP72q2j2FoylpGBBQSRkFjw9Z0U3G1bKSFWUMpbJceunfsFYNMNH7tzOm25aRyyTQ0TE65wPzzqTtbPulu6KXBNNNzk09BQdDTH6x4NcveqawrMqJn2Tj/GbXRDsuJNb130TUSxce/+TBs9/1XdpbGzk6quvRhAEfvnLX5ZVEa/h9wtPPfUUr3rRC+j7zB9fkvv/888PcMqxlm9/+9uX5P41/G7jXOqs1DwrVwCaptEj5khjqUisHxwcZGJiAlsyc06GChQWXu7p6JKGCoCoGyhHRskGPBiyRJtXRKhiq4qmSSgeJ/B0/6L3smkajdEooXgcz96hc3pOZz7PViOOp7eJdJ2/avLxYpiYWbwv1toV7JtbUZ123NkMSYeDyejlY6taDE1BC8eylzbeW5MkjmsOEiemcE1FiR+fxDcyxUj00hW+88mWsjCw84FdVRAxWaXH2dgj0GGk6DBSbD4PQwUKoVfrJ85WeGBkDFzPHC/7zZw1VAAmRSdhYWkK7moQgC4jiQRVDZVR0cXxYfCt8uDOZFh3GQwVQxAYC4YYDdUR9noxJJEZn48DEwp2USRvKWf6y1itpG02TmQsBBMJcgdHOKbYibtcl/xZfxeQsdmI96fOyVABOFlf7rVNCFae35Gl0aKSHp0n1Xj1xk5e8/3HCWcKIWtKW4i0UBgbE3C0ussMlZGTSXKayRu+/DCvu/sh/vNNN9J/1x/xswPD3Pixe/mDf76PF33mvjLZzVaF0XDlc8uSQKNvJ+GEk6Br3otvs0BWsfCaF6b4wQ9+QCxReF9qukh7WxPv+8vnc99997Flyxa8Xm9FfYwaaqihhsuJWoL9FcD09DTuYB1Dp1OsX5CPcfz4cV7Y0LGs4XGhsGTzWFNZJEVBMK3M+HwEk+WFygTAU8IYsxBT16zEOBmhMRpZktK4GiTTpCUcJuSycNDVhHdspiznZDE4ogkmewI0Riu9Ba5cDmcuh8/pZG+gGd/QBO7k4sw7lwvZQ6MYzXVooohsXPxihiZwQPThH5pAAFS7jWzQA2YhnI4SOymn6UwreSbzecKKyoyiEFEV4qpKStPQFmU6KtCjlkIzTKQLZAtKOp24MOkXvQiY1Jk5POaFG5Y6AmIxvb2gu01G5dgnBQtuU6167GLABKyqxkxfho5LTFdsAFOBIKNRDfexiUIB0no/zliKyZRMOOBCM5wMNDbRNTmBTVXZb3pI1DWwLhPBPTDJ+BRk/W7qG+wcNB14oyZbrFd+zlxJ2LbUYzuZ4lzpsa1i+ZwxBAG7aCAI4Gx1w9mCwfKK3k62tYT40/95gu//0Y2kR1PMBc9qFK4BMEw4lrJx/We+jiiKfPDV1/Pum+e9lz96120AvPFHB3Cn0gzNJGkPuhBFEadoMJWrPodbQxLPnHYQLLFJ0zkTUSic3+o/zQNPWHj1i+qRJYMVzWH+5X1NdF7/CpqamkilUkQi1Yv11lBDDTVcDtSMlSuAiYkJgnsLIUo/euc7+cuf/KR47Mknn+QFgpPzcjucBwTAOz6DCagdPlLDcTIOG84qyacLoe5sx2lqBJ/pJ+rxVITSCFe3YDwzdk4hNjZVZQcRplcFGZtWcM7E0S0SmbpA4SENE2ckjpwvLGTlnIImLb6IEABvJsPNmT72yl7kWXIB1W5FUtTzDju7WJAVFcN54TSg+3U3KVGgIT9NPJNlWskTVhQiisq0aTCVVovGnuSz4xxTMWeV579K7iMJAl7ZQsAiE7RaabBZ2eD1UGe1ErBYKliSloJhGLz32LELao8/mSR2nGLoYXhn1wUZK2JPCKMvTJ/kI2RkiyE11aAhcLq+BUs4id9UaDdSpAQLU4LjvGtrZJGYFh00GhkmRBc+M09GsJA7EqElnSJ2zQqmlXzBgL5E4VWmIGAKAq0BCSPYRHQgiuJy0OUXGJ5W0ZJx7LIF49AIJ502NLsDZziGaypKQp83mhWXg6npPE7yaDZLwTC9JE/8u4H40Thd65zAuRmbGyeHy/6vISALJkdOK/jayz2q3QE313U08MTwFC9YOT/XTARUUySrC+w9rfDiu77OO3au5q+uW4fR08hQTqTRqmAvMYxOHxki4LLxkR/t5Ww4xQN/+2IEASynhoj4VhD0VPooA65tZf8/MLiPtrqCcfrhv2xhdMZHOKES8mawzVYxH3r8OQC87K1Hueeee3jDG95wTv1SQw011HCxUTNWrgAmH3qIuQCCU5Nx/uUjH+FvPvQhoOBZ2WJwSVcNpiCQvX4twZkZLJkckQYfznyemMuFO5sl6XTSl5HpcWr4U6nio1iePotKQWnqq7DzmOdoqMxBABpiMbxOC/H1DUi6QSgRRzDBFGByZYixsEputoBlciZL9XT5ciguB7GOJiRVw9/iJt0XxhFNLn/hJYCrw0t/PM4pQYSRs0zl8kRVhZiqktONMq+FMNt7ZklmRdLhwBLNYPF78QoSG+zQZnew1eejzuFgDB/emTia1UJDt49Q8tkXtlsOonjh0aOSaRYNlajbjf8CvSpGXyF/abUeW/ZcGZNtU0OMtrbgHSvogd3UcAjn7gHJIaEJImOiC/eeIY4Gg1iVGDlNw53P45/NS/LvKoROxq/phl0DS93ygiGZJs2RQvuzVisTbieBwXGmAdlhQ8llEeMZLHX5CkbAUnjGZxBME8GEdL0fxWm5pPlVv+3IWy3Yz9FQqQYJk7wuQosP11BlJfieoIefHh/hBStb0BEQMLFiMDmS4rABn/7RA/z19et4+85Z8pOBaRTBwinBSlywccPKgqH50/fchtMqY5VlWv7i2yQyCl6nlTabwqldg3hu7sYiF94lM5EU17/mX7npmjW88mW3s7Kl8Mm/ft1VDE1pnB7dB0BbcBs2q0A6Y+Jy3l/23J//x+s5cHIcXdcrKPZrqKGGGi4HasbKZYZpmgw+9CDxRJIPHj9O0OvlxTv/lpmZGfoPHyUSiSAKAnlD53Njp5hQc/xF8ypW2Cs5+H8aGeVX0QluCzRxR7ByGd+XS/HF8dM0Wey8q2U1ttlaIoJp4nzsOBOGzhcyI0yeTPK+bVvpBfZJfpxjCXypDKNuJ99RI/zq1Cn+sLWVP+lor5CxL5fjYwcP0e5w8Ine9VhluZB0nyns2mV1nb87eoyz2Sz/tH4d6z2VLEzf7+vne6OjZTIEoCkaoUmEg5OTfOTIUTrsdtb3rsex4IO5UMa1QMTjoc+QsefzpM0L76s5zI3HaD7DnaE2JEFgWlMIq3mSuooJjOazTKo5Gi12Wm2zDGOjJ/DUeQk67EQ1gUOjo7Q5HHysdz2NNtuS7Vjt83FAd+Mbn0F12PCvDPKzo8f4zzP9vK6thRd0r8B1okChm6nzEUwmODarV3PjsVxfVRuPbw+frRiPUhxLJHkyHOFdhw4/Kxn3hKf4s1Q3/2fHqorjhyaivPsXe+j0u/jiHVfjtJS/qjKqxjt/+gxDsTSfvf0qNjVVJv9+efcpvrW/nz/duoK37FhN6+h88p6MyfTYKK9bRsZbf7qHM9Mp3r95M2v8PoLJQtJ0xywl9mJ95Zs1VC7leCScTvoSAlPDw/xDie6quTw2Yd6gXOxdMudt1C0yP5sZ4YODi8/zy6VXV1pG7gL0ag4+Q2FS9RA5M8VbfvAIDQ5LmV790aYu7j8zxlA0xUceOsRgLM0X/vLlfOkXuzg4NMN7tvfw0vXtVWXoosie0wJNHXbaSkjNblzbTE7T8M7GfK505Djxmz5CV3UiGllufeN/cM9df8oHPvcLNneX5zC11Un4XFfhsAqcHn+MDfXPpX9CI69K2Cw6hglTMQ9uR568sKNmqNRQQw1XDDVj5TIjkUiwIR7nn4aHOJ1OQzrNQw89xN67v863nniYm2w+8DawNxXlmVQhTviH4RH+urWcalg3Tb41NYgBfGtqkNsDLRV5BD8KjzCczzCcz7AvFeVab13Z8b2pKE+PFWqzfGvvEf7hD27GOzhFzucm63ch5hT+c89BTOAzZ87wmva2MhlJh4NvHj/B6XSa0+k0j4XDPL+xEakk+fqxcJgHZwqFJ782NMSnN5RTvuqmyWfOnMFYRAbAt/v7OZNKcSaV4rFwmFsbGsqOV5MxKYr84vA+JFXHwOR/woV2fmNqkJSuISJgmiZpQyehqxxOx4gbGsP5DO/s24tTWrBw1TUiulq8xx/Xd9BldXKtJ0i9bEcQBF598skCa5SSYYcniDjrKdlgr+fq3g4+8OhTjOXzjOXzHIzHl23Ha9Zdg6QXdnpzqRTfeOgM98wUQk8+feYMp3WZF4tughYbLUEZIQJfm9Wr0+k0PxkfJ7KApKEvnS7KeP/RY2XPIIsCFkHkc319mLMybqmvo8VRTu38teEhUrrOgzMzVcfj/qmpqjIMUSBrs+HMZvnSYIGU4R8fPMh0TsMhlOf0/OzECKfCSY5Px3nXz3ezuq5ARGGTJf7imrX8pm+CX54uGB//tuskX3rZNcVrnxye4omhaT77ZCHR/sMPHiKeUytyb0pl/N2v9rOtNUid00a9y06X381DozF+c7qgN985c4a/e851xA0Dq6oSc7upD4eX1d0PnTheHI8PHDtOj8vF21fM0yIvNj9Gs1l+Mj6BiVnsq385c4a4pjKJnVev7sDl9eI6M1wxzxXTwC7NGytLvUsGc2mellS+d/xoUUZCU4tevte1t+G1WMr0auGYJ1SVj5w4uaheARXtKJUxh/unpujPZMr6yiaKvKmrc8m+2h2Nsjsaqyrjlvp61pYYNUu1w7fKw2+OnSjTqzt7Ozg8OZ8nZ5rwuSePYwL/+NAh3rR9FSlF5T/3nAYKLHWS3eDweBhVN8p0F2D3yAy3fO0BMpqOXZb49x8/zf7BEW7Z0cvJSJJPP34U06RCd+eUNyFYaQrO99u+wRliaYWGWaaxs+Ekf/z5+2kMerEGnPzyK2+lpdGHJAq87xPfo73FX8YYVhdw8c7X3cCGjucC0N0ocXToeQR8D2Kz6DT6kximwPNufTPLIRaLFWthzKGrq6sWPlbDs8InPvEJ3v/+9/NXf/VXRf0yTZOPfOQjfPnLXyYajbJz507+7d/+jd7e3iv7sDVcMtTYwC4znnnmGXwWC1fP0kA6ZBnfPb9g3alRPlG/itu8hY/nCrsL+2y4zUanr+I+kiCwzlH4CK5zeKsmPM9dZxdFuu2VjD9lMhxeMofGkFQNSyaLNZOnrt3LqmA9ABvq6kAUCXu87DM9jIbqGJzWWNfaMtsOibVuD6Jp4irJf1nn9uCc3ZGba7NBgfp4rh3b/H4Atvn9Vdsxd51TkljnrtxNLZVxlc/HcDbLwbMjnMwk2JuOsisZxjq7MLIisCsZ5snkDE+lwpzMJojrKiG54OUQgWs8Ia7z1JX9XeMJFdNu1zm93BZoZpsnSLPViSyKSILA+tnxqJdtRUMF4MT0BBMHhtmGrdiOYHs7e0Q/6VnvygHFSXtdXVlfbZNSNDQ7MUyTp5MRDNOkbvY5G5xO1tsLhkrO5y56skr7aqWzcszrrVbk2T5udZSzYmmGSVbXaZp9piabjR+PT3DPyAjHS0gYlhuP1S53hQxbq5N8ix/BNEk5nTTMGkDNNhvxeGU+Ubuv8OwWUaDBVcnetbHRX6xA/5zO+orjggBt3oKMNq+jwlBZKMNjk5lO5zg+HefRwUm+daCP/nAc6+x43N7bwIZuMDY2Ene5cK/yIorisrrb4SgsImVBoL5KJfBq86MU46Kj2FcNDgcTggNLJsfek2No+4YRqJznOUPHJszvgi/1LunPpTAnE4Rs8+Ox0IgwgR3LjPlSegWFEMfmWb2qJqP0ugvtq2oydkdjaCXkFsvp7rno1VWthdo9O9vqkMTydsgeG7E8qLpRVXdfv62HV23oxCFLNIc8HB0ZxTBN9JSCMdsn1XRXwETAxG0qRLTC8ymaTk7VWVE/bww9dWYSp1Xivne/gE++6vm0NBbGe+fmTu579Djf+tEevvK9XcXzZ6JphsfmjTFBEOjtlIkln1d8lompLK2t5xKAW0MNFxe7d+/my1/+cll5B4B//ud/5q677uKLX/wiu3fvpqmpiRe84AUkk1cm3LuGS49anZXLjH991au4aTbefDiTIV9XhzKeIxvw4hkrrz+S1FVSukZzlaKFAKppMK7kaLbasQjV7c5xJYtbkvFIlqrHF5NhAs7NrQzHNLKnB2i0OVAbQtgSafJeF4EWN9MzeVwzMaYTMRx2B0JLI5uEJDZNYyJQYO4SgJiqklBVOpxO8rKMIQhkbXaCqcKLRTUMhjJZOp0OLIvkQwymUmQMk/FcloFMluFMBqcs8berV7M7GuWzff34ZAmXLOOTLYRsVo5pGm6HE+dMBlOAlK7hlmSkRTJrkrqKVRTLFnqlyJs6imEQtNi4M9S26HjMqDlOZ1Nlx+otNm72NTAi6ticThrSheTreFsDG8UURzQXnjYPSjLJQDjP7ZaCwXdQdzHSP8ihdAwAHZOUrtFmc3CbvxlJEEg1BtkspxFnp/JwJoPXYiGtafxkfKLiOXOGTl438Fmq64RhmsRUFb/FgliyAG93OLiloR6nJPH2Awf5eO96/FXukVBVvjI0VCEj2xZAxMRh6lgMlZmsitXpQo0oNIQqxySWVbDJEg7L/HjMeVYAItk88ZxKd6A8RPLJ4SmeHJ5GN0xiWQW/w4omytiqUNJGsiqRvJUWv4SzSr7ChCbhzUv80a2bsUoS+uEpXLkcqau7sO0bQc7lltTdb589y0gmi00Ssc+GFpZ6VqB8fkBh7o1ls/zP9DRhRURKZ0npGi5ZRjYL/SQJAi8NthZlls7ze8OjNFvt7PCEijKqzfOUrvGL6BimWdCrmCTgdDhoFQpkFlmbjeuCnbgsFjSblbrkGEFRrBjzhKryX2dHLlivShFX1bK+KvWsVOsrmPesLCbj2mCArbNGJczPj9J2pG02LFsaaTHSZXr1q9NjZZ4VgNdv7SGSydMd9GCVROI5pehZmSv4mMzmK3S32A8IpN0OGmzl3sSxiElgliiiVHcXGkRJwUowIPHtx07wlpvX8bd3bAXg5o//lFRO5bEPvAS7VSaiymgbVtASFHnv+39MKqvgbXXx/362lze+8hr6TidZsdLD9t42Xvr8co9337iG2/kAkmRy/y4rr337z8nn89gWhK6WouZZ+d3Fb2OdlVQqxbZt2/j3f/93PvrRj7JlyxY+97nPYZomLS0tvOtd7+J973sfAPl8nsbGRj71qU/x1re+9ZK0oYZLh3Ops1ILA7vM6L75JhL33IPXYqHD6SSnqijNdtzZOPua6/CNThfP9UiWRY0MAIsg0mGrrMpcisUMneVkCED24Cj1ANYCO5ltshBKIm9sZXoyg29kClPXaZJsiDrEhkaYWNNIp5bCk8kUTQJ/ycLANkvr6ihJ5FUNg4yu8ZPxcQYyGabyCkYVG9pvsdDpdLDO4+blLc18/OSp4rEbgkHeVrIITKgq3xwdYzprFhctIdmKW1pc5f3y4n1dQOG4vIhhODcerVYHU2qeuDbfxmk1z6lckjUOL6TnWaK8I1Mcaa7DGY6hxpPY0jk6Qj52e+tp8opou/s4koljbXCTm0njDLkw8iYb2rqpD9qInJzBFISyejlzC7l0FQpduyRSZ6te+0Wd9awohkGwys722WyWn01M8LLmZpyyVNVQKcoRpeKCEwrei7rpNCaQs1oRWwJ4NJWgR8Lrrm4cVvOoWErCm4IOG0HH4osnSRQIuQrHcw437WJlsrno9hMaCJOSbBi6Th4JG3qRWlZMaJBN8fhPd/OipkYkQUAXBFRE/IoCoshK99J1ShZbvM+hdH4YgsAz9jqUgE7k7AzWbA4Q8EmWMoZA3TQZVjL0zOaflM7znKHjEMv1vNo8H8ilipXPJQRCOhi5PKmgk1RawxJL4lEjuCQZU4BwWxNNUhoWYTkrHXOLKFRtd4N98fECKnRz4SaMf4GRsRCiIFTo7v54nHUeD/ZZr0zHgkr2UbcbT6+fJqNAw76cXlklkTX18x4qSZj3oKiIREQ7q1yZRbZEYFp0sCZgEE3nMQDTFBAFE7vfQVARi3V8mj3V3931QMrpZUWDl3hW4eWf+xUHhmZo8jvZ/Y93Fs8LWjTCR/r5pdVN1GqlQcswGlVJpvOomolX0khkDI6emeAPnrsWm3VeZ8aiB2iTrHiceeL5An2yfB6MgTX87sEEouqlyUvK6iK6rpNYUIDaZrMtagC/4x3v4EUvehHPf/7z+ehHP1r8fWBggImJCW699day+9x44408+eSTNWPl9xS1t89lxove9nb2Xr0T5W/+GqsoYldV7LML97aARGL04hGB6Rb5nGqYnA8Upx1RFGnyScR0lfcMHMQvWwjIViSHHfv+Ue5avboYCvZMJMpPJybocbkYzmaJV2EbsogCLXY7XU4ndzQ1scLlwnoOjFP67EprlcvFT8Yr2XdE08AsWaAFZCvP8zdeaNPPGZIgsNMT4oHYBKU21+F0nGaLA2+JUTRHJQ3AbH6JMxzHGY4TbgiwKx1BF0C3WMh7XbgMnbW+Onwbugg/dBgBaK6zwDmWQehyOnlefWV4yxxM0ySiqpxKpTiSSKAuoHyeySs8PDPD8v7YcjTYbLy0uXn+BxUMj52ow0vM5WZ7m1K12OLFwnrZR1cwxFXtStn82jVqx7t9I9rxaSJKntHpaY4kU2iCgD1owZEveP9Gsln2xmJcHQggmiaOAyOX5Dk1UcQeS6E02pEWzBWrKKKUhDQN5FJFY6UUimkUw74Wg2maDOTLayRZRRFFM0gnFJDEsn4STPCfneR4Sx0bJR3rMkVBK8b7CiKnG+yPx7k2GKx6XNZ1FCTighWfeX500wnBQtjh5U+3zhd5nG5vJj6WoV2vXmByVHQhexX+56kTZHUJoTGAORklhMgbt644J7lxwcrh/lGcVplDZyPs/sdXIFdZZ4YsGpFde2nKxhAFaFMzKHmdVNYgZNGIm6CoGkdPT7Ctd95b3BzYgm48CsDY4KPk83kGBwfp7u7GYrGU5b3U8HsCq4xleyXZycWAdGiYo48dxecrD0P90Ic+xIc//OGK8++55x727dvH7t27K45NTBSiBRoby7/ljY2NDA2dW4HqGn73UDNWLjMEQeCqq67i370+bkiVx1c68znCTjvW2UrHzxa5a1bjeuzC6mFUvZ+h8eUzh0ic3ItTlJjUVV54zQ5uS1rQbTL1bR7efP+vecfJU8i6jqzrWEWR2xsb0U2T2xobaLaff/Xwavjh2BibfF4MwyCt68RLjLKs1cqk2016JowcyWJSMArErjqygqcqjbFms2AiYMlfnNoYAdnKeoePo5l5imfdNHkmFeZ5vsZFw2BKMTQwQCKfR6DgjfBoGprFzyZVwjJrqMzhYi0dBEEgZLVybTDIOo+Hn09MVhiYZ1JpchdYwb4UIoV6K8FEgkN6A1s69bIkurlxOx9MCg4mhfIdaR0BwTDwZNLMCB7qzBwGAhIm/g47+vFpZEw2ZLNscLvZbrFwj01DUHIIJcbBwXicDR4PTlnGnbs4c3QhZMNAt1rwZLOoDju2kuKmHTYnfSXekLCqENdUfAs8gnlTxyEuvUM6rubIloyhRRRptjoYyqWx5BafA56xGca2duDKZZF1nUAqtei5v004HE+wwevFU8U74Mlm4ekhJq/pQTcEgkvU7FkI2TSxt7qIjOYJmoW5ahFMru4ROJ2tx3a2sLAq1WMdAc9sIUiHaDA1lsCSzNNZmZq4KHymwqNHz3Jm3MHJT70aWa5unKbzKmcmE8V5JQkmAaeFxlScHMB0jBnDz/5jI2XGilUGQSy8U0+fdaIoCmvWrDn3B6zhdw6iIFSt0XMx4LAJ9Pb28thjj5X9Xs2rcvbsWf7qr/6K+++/H/sS64WFBrNpmjUj+vcYNWPlCuGmT3wC/S/eWfabJ5Mh7/NcNGPFpqqodtuStRbOB18YO02nzcmfN6zALoqIoogRNhGNQj2HZDzNXa0bCnVcAh40h43NQvKSVG9/ZCaMLAi899gxfLKF17YXPrT7NRc5lxu/VOhDZ9COJkpk0hqSYYBYffd+rvjkxcQ6p5cxJUtUm1/8hVWFE9kE66uQJpQirOY5ni24zE3AomnkMjq3NHrRRAvWaOGYaq8e0nUx4LdYeFFTI98bGa2ocJ/UL57HTgBaZmboX9GFzSyEYOmmwOiISnO7FY+p0D9sYNF0tnRX16VTJxTyFgvGaifxcYWoYEMJ52cXiQZbhCx1mkbmYJ6jThcCBiYCvvRZJF0n5ZgPDaqz2bgza/I/klD2glQNk/5Mhg1eL5cKU34/TaJIPJpCWsDkZhclmix2xpX598NAPsUWuTzZPKcbFWx2CzGQK/eqdNqcVUMvF0IAlANnyUkiiscJ9W6kaHTZ6y43elwu+tLzbdRMk93R6JJexeCuPhI7u87LWHGgkRNN4oKNgJkvGiWCADbR5LTkR8SkTU8hdgcRBmbwtLkhnQVgNGoSMpMImMDSIXKliAtWfv2pN7PBlS373TQpI5M4dDaCvuD92x7ysKbFx8HhCD5ZJxqOMzAqMh1JUR8seOra6yQeOlLP6tUaz7vtlXiq0ERXQ23BWMNikCQJ7zm8O/fu3cvU1BTbt28v/qbrOo8++ihf/OIXOXnyJFDwsDSXeG+npqYqvC01/P6gxgZ2hdDR0cFEye6sZhj898gIz8SGi+FNC3EoHeO/p4cJq9U/pmE1z39PDxeTsb3pFOl6f/G4bprcFx3nvuj4BckYV3KMKzl+Gh3jyOxCemFleN00uS8yxsN9J3GOTrNfqFyU74pE+Pf+gbL2l2Iil+Pf+wfYFake26QZBtcGA+wI+Pnk+vV8cO0arpkN8ei15dhgJBg/fYbjY2OYyRS+dJpm8si6ji2RrtpXC/Fs+wogpimMK1mm1PJ2Hs0kiGnKojJ00+TpVATThCmPxCE1jZrNsGNtFyHFwBmdj/s1m2x8f//+RfvKME2OJBIcSSQWXYwuNR5+i4Umu43d0Sgj2fmFUaZkV14zDO4ZGeGekZEy5qVS9KXSS475TCbDd7/7G/b/8gDy7hHMQ5O0hsO4nx4kdShC29gYDx45zF37z6JWkdGyzsW+ySnuefQZDJ+BbSSGJ5vFnc3izuZw5XNM5HJ84/gJBvvO0BiN0hSN4FAUrLpOMJUsa0eDzUpnuHJcH5yefla6a5jmon0Vc7mYHk7y+P4+vj0yQlarNKC77W4yhsaRTJxJNcdQLlMxropp8Hh8elHdzRs6+1IRjmTiZIyC0dltK8+7mZNR6hmcg2CaoGo83H+Krx7pI261FXORSnEx5vlyerUrEuHHY+OkFuRn9Xo9eCwyKU0r6u7JVIrwgnybhTLs6ISFcqNhOJbmyeFpklU2NARg/HSYzlaDH49lOC4F8EiFudFmy9PaZmVHj8D3zkyzdyhKvK2BsdH5Zwj6JPKIDMfS/PLUKGOJDFPtzWgLfIpjiQyffvwojw1OMiY68ZgK6lilh3iXr4ex/Lyn7eBQuOx4wGVjKpHl7t8cJ5ou6Ldf1hjqS7DnyHxooyAIXLt6C/GpLJ3O/0d61vDLZDIsxclTM1RqeLa45ZZbOHz4MAcOHCj+XXXVVbz2ta/lwIEDrFixgqamJh544IHiNYqi8Mgjj3DdddddwSev4VKi5lm5Qjjx6KOESj7u/zM2xsdPFRhlsq2reLGnvE5BWM3zT2ePYgCHM3E+2rmx4p6fHTvF8WwCMQz/0XMV6bEMbc0OBG8TI3GDx48d4WuT/cXzXxgojylfTsYnujbyf87s4bHkTFFGyFL+Yb8/NsFXZ2WYkshNaS8j7fW0Tk8jUFigvO3gocKCPBrlm9u3VbTjfUePsT8eRxIE7rv2GpoWuIJL+wrgj9pKwhd0nUg0yv89cgQDGM3leNns7otoGDg2tZI/MFLWV3f3XEVdlXZ85Vn0FcyPhwC8KNCMczbp2TBNnklGUE2Dr03NVzmfk3EoHSOpqWQMjYcHzwKQNBTu6Ogl71GxZOcX0R9+fBcnUzG+vkhfHUsmebxkMbjeW75Dei7j8f9GRjmaTCLE47y2rQ23LKMZJhldxylJFeNx+4LdrZSm8Z2REUxYfsyHZttRsjh15XLcMzbGp0+dhmOQm9rMK2/fQb2RxWmq2DBIxON84PHH0U2TrroAf+CuNJLPV6/WejyMZucX2ufVjlkZC3EsmeTxofnxmNNdEzip2tEjE3yibz8GUCdbeZ6vvC9brA6eSUaY0vKQhRcHZMaVLK0lRBujSpbHkzPF/y/U3UPpGA8nCkQeU2qOl4faCFps9OXmQ7p2JcPMaArHRxN8aZF5Pjc/JLdExLQiJTV0vx1Z04mrKh8+cfKSzXMo190mm604z2E2bywQ4J3Dh5jI54u6uysS5UVNjYvKuPWoD3tvkNCsdyWSyfODo8OYFIyWP9rUVdGOX58Y4oZN67n96gZcNoFTA3kaVhX2Aa2iiSCAM2RjPJbmRavcrF4Jg7PDYwI5h4UfPFGQEc0pfNPnR8ZERSQnSIQFO//w0G5+fWIISRC4/+11+N22ihBJ0wTTNBjN29BNATIRppPlnpeN7UFesq0Tu0ViLJrG57ByZDJDfaeNI6fGuPU5qxmeMehqkHDYBKzStbzro1/iK937cdh1vnDXX3Lri97LC1/4QoKL5ADVUMOzgcfjYcOCemwul4tQKFT8/V3vehcf//jHWbVqFatWreLjH/84TqeT17zmNVfikWu4DKgZK1cI02fO0LpIEqy2BBPN+cAVjjMpwCqvyXYjx4GQHWaZ4S4kldkuLq8uwYAFJgv/FnUDVyRBOp5iam09jVc4XMSTy2LOUv0KYStkAUEg53VB9uISESxEQLaSL1mARzWFlFEpc0rNcTqXxBAF9JJQHgcSmtOBbJgoLjvWdGERLegXP8RuIeRFdktzs8bK5YY3kyG4q4+43cGetjY66wxiJXNJyGtQmXd+/nIuI/vRWCiE42yS+DJhfZIgYFuQjzKQT5cZK8thOJ8p+/+KKkn65wNVtmBLxQDQRAeGRSC6BMXt5cIqlwvLAt0dymQYy+ZoqVILBsDeG6TdOL88nFBLIbSl2SUDBlfNGiqSAI3WgjfmzTur1ylJxjWkEiNREiV8pkJMsKK3BfHLGoomY7dasEkimmGSk6xMik78bU5g3piOaRIep4hnUzMpxeTMz09XyNvUHuLGtS08fmqCl9x1H7Io0hZy8/CxITavbeGW56zjbCJKZ/1aBEEgmdvNI9/p5rP/8zMefPBB7ni+jMv8N44d6+T6668/r36qoYaLhfe+971ks1ne/va3F4tC3n///eccrljD7x5qxsoVwlV//Mc88usHWDPrXn9lS0vx2LWb1pA/MlG2cxay2Phgey8nsglu8VWPy3x3y2p+E59krcNb3AmVcwpH3X7ag042ay7+ZKVJyA5XWeohWx4SsZyMfxs7zWqHl5UOd5mMUmynjldt9+MbmeZWfxMAhiwh6QbTPj9eW5a7N29ifzzOnSVtLsU/b+jlh2NjbPX5KnZbF/bVK6vco8lu564NG/ivkbOsW/DyagqH8butfHrtWv49EGNHeyNto5VhKnPPvvDfczjf8eiyubg/NlEWluMWZV5T14FTkrnV34RqGjyTLIR/iaaJB7jRW49FEPjDug78/aPYNraQjhcWN5pV5s+vvp6ToyfZ4XZX7av1Je1fX+VF3mS3Lzsen9rQyweOHaPJZsddsoCfY6Z6ZUsLqighGzqvbGkhusAId8syr29vxyFLF3XMXbks3eNj+M6k8Yoid2/exL54gpUuJ2dS6Yp7nK+M8QW5Xm5Z5o6mRlodjgtux3qPh+fWhcrkJR0OrJqGI5bCgcAH23vZm1qc3u2vmlfx9akB6iw2nKLMmJIlZ+hF2uAmi51bZlnvFupuRM2jmSY3euuZUfP02N10VjF0rvGEGMileXGwpeo8f0GgGbktgDoS5fqEzH2zvyszaVSnnUaXzL9t2cwvIxne0tFQcf259NW5zPO7N2/iZxMTVWmSBUHgo+vX86/9fWW6+1Q0wiscLVVlzJxKIqycf/MGnTZe0dvBaCLDxsbKQpQAt2zsgio1esqfpfrvJuC0WbmztwN/WyOvXL8ayOMwNXKCSb1Vo96q8R/veD7HIjBz4BhrHTCDToOl/P3tkgwSp6aItc0QGHXz4ECSvDtIc6agS+0hN4FZKu/rVzfxzbfezDN9U1hliXG7h3vufYrDJ8dYs16nf8JgZYuIx74DUXyA//uqPbz2jlXc8vIH+Mpn15DJZKihhsuFhx9+uOz/giDw4Q9/uCqTWA2/n6gZK1cI9fX1nM3lmeNXkUWxGOaQTaU4We/HNR0ru2aTy88ml3/Re4YsNv6wrqPsN91qoS5kJXpkHDcmN61Ywzo5w8mcFYseR9Q0Uo2hWYYsk00sLiNr6vxt61rCmkJIrtwB1mWJdHOIV5+dQigJPcmE/GTsNjJHxhluCHBNMFjMMamGRpuNt3V3L3q8tK8Ww1UBPyeqMBXZNA3ZMDjhaeYN0yZaeN4z0d1mZ2CkYLhIglARPrMQ5zseG10+DszuQM/BJcm8wN+EJAjsS0ZJL0hc3+Tyc5OvAUMSUe1WxP3D2EzIe5wEuny8IBzm1o7yMS+FKAjLJoQvNx4Bi4Wr/OULNVMQkEWRsNdLKJHgBXc+F+/+YeR8nuyWVugvhLcl2kN4z4bpcbuWpLK9kDEXAP+ssS8bRrEduxd48LKzu/znKyNfJU9ihcvFGzs7K34/13aIgsAftbUVmc5M4GTehq9vqnjOJpefJoudh+JTVe/R7XBzva+eqFpYrJomDObSrHV6Z2VUhn7NYY6uuNFip9Fip83mrPDUADhFmV6nj95FiCBk4EbTj+fmlYz2zUC0QB0uaTpSIk3U5ULsXM07u1UaYrGq97gY8/yaYBBJEIpFIRdiq9/Hy5pbyvKtJnN5+tJpelyuMhmGIOBe7QWjPBekw++iw794LR27VWY5Y6UaDBPygkTK7cYt2FjX6MbTWUdsYppESz0b7PMGd51Fo9Nno+GGzWQFE2MkjUcu10+raNK2uYnmYAu/2rMbj6AQzMwb3JvaQ2Xn376liz1mCIwotoEodpvMez7xIzat8+ByPsq7/88ttNcVwm4EQcDMZnneDSE+8UWNTOZvyupc1FBDDTVcStQS7K8kmqt/AB2KQpdfINVQfSfvfOCMJND2DWPJK4iajilA3OVmk5TGtb6RdEOQTXKa+m4vjvVNZK5fu2iI2HWeOj4zdpK7xk/xQHyy4rik6fjOTlXEUnvHpskfGEHSdBAE0heJvvhCIRkGKy0KqaZQGU3r0bQV8xLmh662eypyY+KaypFMnHElS3+u3LiyiCI73AUjwhBFsl4X7FiB4nLgWlWHaJoYlyGhNaIoxQX/HAxBwCoIKLOhak27TuOYra3j3z1YPM81euWZouae63yxMBkbKKuRcz7IWyyMWFyossyU388eOcB4MMhgUxPuifDyN1iAFQsS4hfWTKkG3TQZWhAC1m1fuqDlUrBmcuQPjOCIVW4KOCJJPONhbMrFZ9k7X1wbDFR4Np6ORMuICTJWK2OhEP7zYAKbQ3LkwuibRQEavSAkCyxiybBCcGKaLDJOUUde8Myd9jxrHFlWOnJsXVU9/FIQBFx2kRMj01iE+fbJksj6Vn+5fOCmoAAj0/hknde9/Dn8n1dfS1tTD2OTWfKZdrL5+Xs0BZK85x1X0dPTw6c+9amqNTBqqKGGGi4FasbKFYRPMogsEmPpT6dZ51CItTeiW2QMUSDrP0f6SCDvng/tmKtuLuoGgaGJWZpMaIxE0K0WJF3Hm04zPaNgHB8jsrIN++ZWMqHyXdXrvHX8Tds6/r51PU8nz3+BpTpstARkMr8F8ewOJU9zXbl3qK7djbh98Z3eZwtBELjaE6zIATmZTVTtz60uP65ZY8CzvpG2gDQ7libavmFip8JELiGNLoAiSZzM5VEliZTDgSLLpBx2HG4r4UCQ+NoWUnY7E4HCwnuhL0K6BLTVlwOmaTJQJdSlcZkK7NWQs1qJ5sHqtjKjSUyMZvAPT5I6MoG2b7hgxJ8nOmwupBI9SmhqkZVusc2GkXymjEnNIRWokC8FBMPAsEhIxrOvx/NsUW+z0eMqN8piqsrxZMGDYgJhn5/N3Sb+8ywKCc+uxpFdNBE8NoJmDtE0mREdeDrczIxVN5qW2psYzlkJeUX2noozFik3oNY0+7FbygMpBAFuaHfisMpIgolhgmyRWLuino+8eyMf+Od/w9t4CN0Qiud3+Sf4zLsmuPfee3G5LtzQraGGGmo4H9SMlSuEBx98kJuCEsoSSbx2VeUqPYp3bT3x9kbyPhf1q569tyV1eJwTHZ0cNtwgwC53I8ezVmzJNNmgj3anwUhaIB3yVfU0uGW5uIheCjlf+cfMtaaB5kiY+nglHerlhCEIHBa8DCoWTEEotjFzaAxzz8DSFz9LeCRLReiYaVaGHLXYHHSXJD6LRqEuiL5/uJhcnwn5qLtIfTnl9xO7prx6dtZq5bTLxX5FQTRNGoJgNrmxhuw0OWTqWnW26DN4NwWx6Bqb2nVG6xsuYR36y4fjqRSRKp6V1e7zS0Y3BJGoImBN55DOzmBLZnDEn30hRaso0motL37Zn1vau9K/wPvSZXOdU3HSC4U1meWY8duxoL0mECgz7gB2x2LkTJOox0NPt3jBRoeKSM44v6ujqsRExCCqSegphajHi7/BSnu7lQ67wnUrz38WaabARFRn5KHd+ORyI3FTe/UwT1kS6W0tfFOM6cK7JJ7IYLPbyCkiM2Ma42Evuj7fPlEUeNMdQ8Sv8Hu8hhpq+N+DWs7KFcDx48dp++kXOJwVcIUjsAgrWFRRSGoaHcD0ih5CiThDIzp2SUTUDVTTYFzJ0Wy1YxFK2JAAW6qwKzyuZHGJcln4igDYnjiBncKObNYmUa8XrndEk6QFaN3chiEA65s42jfJtnY/usNB/EykjDp3MRkAltlFdUJTSRsa/qEYWZ8Vx4JFoGoYDGWydDodWBbpi+FMBo8sE7BWZ0sq9pWzMll4ShGps+gcT6bIaCOoNisTRpRGSWPaEPC4JDLRPIpTgEgW1yLOgJxhkDd1/sDfXDUcaLHxKMW4kqVBttFotTOpVCb25w0dBLjKXb64iAzEcK5pQBVgNJ+h2WpHMM2qO61zfbUYqvVVQywGu2IMX7sW6+ERZiIR/L317D4xhGYY6JLEdFijPpTHQMBnszIWTdLtLSyYg2ssgMH6LpHTLR0klSh5zcCd1LErClP5PN8bHS3K0w2TiKoStFiQxOoLvYiiYBdFnCVteUF9fVEHlhpzKFBEx1QVf5Xk64V9VapXp1IpHpspeLpyuk7eMPBZLHQ5nTQu8AoupbuqJJGx28lPTwOVLF5zmJsfzQuMjznomKR0raJmSrfdXWT2Suoqp7NJtrr9Ve8xkS+EGbpLGP1KQ8BU02BaVdAxkRZZti82z+eQN3QU08AjWYhqCg+ER8npcQZnGasuZMxLxxvOfcwX1uLxWiys93o4HE8QV1Vss2P1aIubF7Z78JaEf4UzeRJ5le5AdcNU0Q1OTsfpDnqwSiJdRoLD/V42rZCwLVJ0diE0A1J5DTcCAb+EiIpDtNFsu/CwOWFdB/rRQU6MhJFKQsDcdgsr6hf3wG5sD7FnoEBlbZogiXDgeBqLLOCRV9PTHmBf/zOsaJ73/oqig5e97GW8/e1v573vfS+f//znef3rX3/Bz15DDTXUsBRqxsoVwJlffJ9jx4b52/v345Qkvr9jB+3O8oXK2UyWV+3eTUbX+cCa1Tzf4ymETwlC4YsC/NPwUY5mE/Q6vPxjlTofv4qO8+XJfuyiyGe6ttBUshgSgAkly3sGD5AzDN7SuIJbg83oVguBlSFUw6QuFeMvn3yKPbEYq4free/VNxLobSE+noKR48vKkDS9TMaf2Law1lNZQfqtBw6yJxbjKr+fr23bWnH8e6OjfPTkqXPuqz9sLacJ1WwWfjo2yng+T7PNxkubm3GTJg1YJREtanAyleLJgRkkQeA2XyNuqXxBltJVfhWbQAcsCLy8rr3iOc9nPP6pfQPTar4sbr5URqPFzm0lSdK2VJaEy8Wnzhwoyvib5puW7Ksvbqx8hpm8wguf2rVoX3kPDvN/9u/m2OgUHYedvHJDJ41B0DCRZxexU8kMPzkxwi/PjPHQG2+lq2RRZ8PAjEzyvd3HUA2T5/a00O70IZiFOiU2tbAY+8n4eNl4LMTRZILHwhFkQeAPW1rwzhoccwv25cYc4KcTE0UZz2+o1Lu5vnKIIl/duhVJFDiZTDE2W8Qwoap8b2wMzTR5QX09b+ioHPPFdFcTRQ7g5ZnJ4+yNjiMBt/mbKvRq4Ry8rUpi/KPxKaY1hZOZBJ9ZMS+j0WLDJckcTEfZl44hAWsclQvsCSXLuwb3o5om21x+Vto91FtseEqeZU5362UrN1dht1tqnkO57s7JiGkq+XyeGQqbExcy5qUG2vmM+fFUiu9ctb3s2Ha/n/8ZHeOhmRlkQeD2FStwnR3C1tAD1sKncDCa4gXf+DVpReOTt26l0V1pQP75j55k92iEa9vr+MFrbkIEWvU040odXfZzy3mpt+l0NVrI6QJ2cflQSc2kIodlISySQCY2RXpB8coNbUHERYxDgLagC/eaTvQTwyQyBj6XSP9gkk++t4cbX/uvPHTP+6nzzXsDFVUir8p85+61vP4vvswvf/lLvF4vg4ODNDVVMifWUEMNNTxb1MLALjMURcE49jRPDBV2sjK6zvFUZSXi46lksUr4M9EogWSSyWkFUdMQDRPdNDk+W0X+eDZRtVL14dnq0znDoD+fxhQENJsFT28T7g1NHHWK5GZ3IA9n4qgOG47eZpJHJ8gcHed0DPbGCvc4E53BOzCGL50iFLKgmAauDc3s17NFGX1KZYx/fy5dlDEZHsW6oNK0bprsm2UL2heLVW3HM7PsTufaVwvRbOYYn02yHs/nMUsClWTdQDBhPJMtPs+0BO5g+Q56VFOZC6w4nq18hvMdj8OZeEXl8VIZhzNxOjoW7B4fHCqTUa0ifWlfnclUhgXti8eKffWDsTG+Nzpa/PvW6Bj/few4x0YLLFTD8cycXYw8m41S77ITyxYWQ3nN4MhkrELGsek4qlG4cCKWpDEADUEQGgs7+SbmouMxh7lijJppMl0lHGu5MV8o4zezledL/757tlCxO2sYfH14mIemZ4qGCsC0oqDNdoBmGmUeHlhcdw1BYKyuDu/oFOFY4dl0CuO7EKXz43CVavEGJtNaof1DSqZMrwRBoMvmYmo2V0UH9qVjFb3Zl02hzl43d26pV6VUd6c1BaPKeJTq7kCVcLNS3Z2TUXhIGBPsjJnWyzrmRxLzc1AXBFRJwiFJzMy6IjXTxJBzmLrGrrPT8+2cjJFWCu+ouXd0mQwT9owWqIB3j4bRDRMNgXR7/TkbKnOQRQF3FSeVbsJo3sqEYinK3B/sWfZ+bX2nODRcmfu2cZEQsDlkdZFtooYkmCgTcXKKSVaBo/0ijfU20vk9eBtcxWeRRANvnZ2bnxNkaO8OfvatVj76Pj+TM2dQ1StPqFBDDTX8/qFmrFxmTE1NscFv5R3XrGFdvY9rW1u4IRSqOO+GUIjn1dWxapYqVQC2Cwk6Gqxkgl4kQeBPG7posdr504auinhsgDtDbXTYXFzb0sJzd6zFt76Bxk4vjnye5kiEPwk5uaGxkTaXl9u7VpOuD5A/WFjAibqBO5LgTxs6abY7+ZP6gozdh4Z558/uw99QTygR54U9a2lze9lW18RzdvaSbCr/MG53B9ha31xsx0JIgsB7Vq6k0+ngPStXVm3HGzs7WeVy8by6unPqq4UQELguEMAnywVmoCphLpsDAfxWK01ON+3IpCJ5HHXzu6rNVjstFjteSeb2Krvf5z4eTra7AihmYYFqCpAJeZGavEUZdbKVO0NtDA+XG3+ueLpMRkt9ZbJ3aV/tCFTmN7XY7XQ5HAQtFtZ7PMzkleLfpCgw0xpie0MDHouFG7saysLMOnwuXtnbyV9et5Zmt50NDT6e11O5k3pjVwM9QTd1Ths72uqKv9tNnbzFUjYe1wWqj8dWv4+gxUKXw0Gns3J3+3zG/EJlbPJ5ucrnY6XTyVurUOwuprthr5fM0QlEw2ST049Xkmmx2Gm2Viazb3cHuNodpMPm5M5QJU2viMBmpw+3KHHbLMV1KbrtLtY5vUUZLklGN8t36tttzqLurnN4sYgibSW1VeZ0Nyhb2Oz0US17Y053r3YH2eau1KvS+bHOMR9yZMnksKYy2FNZNjt9uGTLZRnzt3R2FvtKMk1kXefkdRv4x9s20uCy0xN0F8O8Dk5Eic2yAt7S08QfrGphXb2Pd1yzplKGAO+9oZeeoIcPv/BaJFHgaEMHCV1CPc+8lYUwTOjL2ulvX4Vzazeu7SsY6l7FyaydlVODy16fyCr0TyfKfmvyOWnyLV0w9GzeimvnVZgImCEfdqtAW6iZe381TCSaJJLU6Z+tL9kf6yKryKQihXeTIAgYpoTN5uDPX93CF77wBTRteRpns8pGSw01zOHuu+9m06ZNeL1evF4v1157Lffdd1/xeCqV4p3vfCdtbW04HA7WrVvH3XfffQWfuIZLDcE8h7dGS0sLY2Njl+N5fu/x9NNP0/GjTwMwLLqR94xg1c+PMWef4UbKa1gyOVSnHWc0sei51q3tWDSNlvDi7F0TgSCJY5NYt7aTPBPGnqjcOTUFgdxz1pBQVL770EN8pnc9dkUp1oowBQFDEBgP1TE9WagULxgGmt3KJpLYL/OOW0JV+a/ZnfM5tDrsS9b6UCWJab+f9OHxQl0Tpx1b8uIXP3s0PsV4Sb6KareguBw4w4niEu4GXz0ti+QwABiSiG9tA03RxYsHjmaz/GR84ryeTW/zYSCQD+dpmLU7Q04b21tCbGz0I8wuAO87NcpoIsOfX7Wq4h7xnMJ/7imvnt3uc/HqjV2MiU7SR6MEqtTAuVjYHY0uWnfjXCEJApt9Xrb7/YvmUVVDxOPh7IyGM1zwRPwsMlZRO+fV9YvXxZnDlJKrqLOywVW97snD8amy/KejmXhZGOJTiZmyqvUr7C52eCqN/t3JcEWS/ouDLcuSaaR1jZ9Fyr8P9RYbNwcasWztwJ3NMRJWcU1F8fY2LamzF4Jq4/3ylmaaZynSTUCTJGZ8Pnp7BA6PR3igb7zs/LV1Pl68ttJY/NXpMQ5Plntx3nzVKnx2K5aeIGcGVPxtTnKGiEU0WemozEOrhsGZJN9+/BQAulngZ/T4Arznb2/HZinMMVUzefRXo/hklVarQsi69HfiV8cmeeZU+TvvBRvauGZl9aK1c0hoEql1PXzzSw8wFY5R31MwRuNpjYee2k8qp5PX7Hz0/67hhc+1YfEH6DsFGzbqnBjwsWl1lKdHn8ca9y/5yGfOktI20tFeeC90dXXxhje84Zz6pIYrh6eeeoo/vPN2hh/5h0ty/0986dccnwry7W9/+5zO/+lPf4okSaxcuRKAb37zm/zLv/wL+/fvp7e3lze/+c089NBDfOUrX6Grq4v777+ft7/97fzgBz/gpS996SVpQw2XDoIg0NzcvKSdUctZucyIRqN0AFOCA+XIDM7zNFQAtokpsj4ryWY/gxlpSWNF2X+WWNDLiDfECrvKcMykx63jK6FltWgayaYg9mMT6E47iZZ6dKuMpKhIioZzJoYpFGhof7J7N/Y8nMhYaGjyYtE0GmKxQrK3adIQjdAi6UimiS4LSOqlW5RebMi6ji6KBepnjxNXTx2pgQjOyOL9e77oy6XKDBUAp6JjWMoXtHuSEf4g0Iy1ykLZBBwbW2icql408EIhiwKOiTRSd4ieVTYa3XbafS5avZU7sz67hRNT52+AthgZIuu9TJ6UqY/HntXzqpKEKkk4q4QMLYRHlrFJlX2pGiZZXUdZkJBdCPGKM5jJ8OKmpmL186WQdDgYmVJwRivDBC8lum2uMmMlZWiYpokgCOQNnVElW36+/fwYzS4UmZCfNZEIMbeHxgYJvbmNkYjC5c5qGAuF0FfXYTk5zbjoYGNTgD1jEaIlRCEnZxJclczS5Fl8g2Ah1L4Ino4mus/RQFkMCV3CDPlo6AhiswjkFJNf7jtBb9pKvUVEXttGSoLQ4OlF75HSBO7vS+Iv+U0UBTa0LR0CBuCUdBIG/MFKN/f5BDQdZAk0XeQdb1hD37iNszN23vNPjzLy9qt5651R3A4n+4834HMrJFIWdrY+SCwOfo9CfGISqNzEqKGGc8Udd9xR9v+Pfexj3H333ezatYve3l6eeuopXv/613PTTTcB8Ja3vIUvfelL7Nmzp2as/J6iZqxcZiT2PkpEsBE/FiOQXr6Q22JwKAoORcEIBFluaeSMJHBGEkzbLHjyKsM+N6GOEGNRnVa/yMRUnlzAiyWVIxfw0uwV6JicRAByLgtjnZ0oh0bJDkUhq3N9ezcxXUUbM1ADXqwuF1ZNw5HPI5gm0qyzTvodc/WHfT6mJ3N4AHssRcbeirWKl+lCkdY1DqZjZb8JAjzXW8/xbILSPYWsobM/HWVnlR1wUxKLXq3zxVqPm+fVVyabA7h2NJDcM82YP8jmFUvXj/DbrKTU86/aDRA081jX2Onrq0PAxKLp1MVj592etN2OJsvnZKzsCPhZu0hNI9M0iaoqp1IpDiUSaMa83kYUlXvHJ7izpRm7VJ3Naw6qLCMYOUyh4GkUjcuj/202J5Z0tMiApZsmk2qOJquD4Xx5notHtlQUJr1UaK23cCwu4z42QaoxxDYhjNPrhYtn+58TrKsCaCemsa0JoBsqoiBwQ2cD9544WzzHxOSxoSletaEyvGwpxEYyDLY70E2B5EiKLavO/5MqCyYul0DAXTCm7VaBl1y9hqPDOqnjYwgZg57JwUW/1qYJx6fSyEoKSlR0Rb0Xt335IqYiYBiw9RXX8puvPQyz89rrFDh+Jsl73+xCknQ+4VzHJz/7JG+980bsFo3h/hG6G32MCU4c9vlBzWUqc31q+O2HYZpEkpemLlY2b6LrOolE+eS32WzYlqm7pus63//+90mn01x77bUAXH/99dx777288Y1vpKWlhYcffphTp07x+c9//pI8fw1XHjVj5TJjzc7nkHpw/FmHwRyfMVhXJ7J4CbhKyLMsMfZ4ivThFD4gNQJuwNfuxdXhxpeKYptUiwtHu6oSTCTIra5jTTSCLeTmK0PHsIoix1NJPrxmDbnubvqTIi0hF4pFpuMi7/hfDmRsNs6oNmxmBlMAwQTh4PBFW3CapskzqUgFpeoah5c6i41b167iu88cKdvhH8ylC/kGC8LBMiEfPYmLv+IbPpmDnd1MzUhEhDShJap5+xxW0s+iOrnbVNm8oqC9ChamxE4iZ9J4shm8VYoxVoP/WRj7pRAEgaDVyjXBIKvcbn4+MUGqpFBjTFV5cHqG25uWDqcJJpOku+rJ2JuIT6QJDJ1fCN6FQhIEOm1OzmTn3ykDuTRNVkdFMvzCyveXCqYsETs+zVz2imGREDQIXQK9XQq6ICAencKGSf5UjJWzeeqr67w0e5yMl4R5DsVSDEZTZex2y8Fn5nEOJZEx0QQ7YdVOyHJ+RrxL0knnyt8zoihit+qkupoQMAmrFvxydS/8qGLliXQWt3RutVUWImOIOGwCVqvE+pWNHDheoBiXRIFszuDwqTxrul/Ce954P5/7T5VHnonz1x89wtmxLB/7l3fw6msGePSJeppb0pimyU9+foTOlbfhXIReuobfThhGnmjm4Uty76w6wNGjVny+8jDWD33oQ3z4wx+ues3hw4e59tpryeVyuN1ufvSjH7F+/XoAvvCFL/DmN7+ZtrY2ZFlGFEW+8pWvcP3111+S56/hyqNmrFxm7HnoATpOJXg2r/Gn7XVcXTeDIQj0a3aq75OfH7R9w2gbmytyS0xmF4WzC8P2llY+1NrGm37zGzZ4PPgaGxmNmTiiSZITCsmmENZQELui4E//7oSAOfN5rmEKzSKyv70RSzqHK3zxip4dtppMaPkyRguvbGHDbA5CfDzHczet5NcHTpVdVy0crKHJgTxz8Tw+UEgKb13rxK3HWRNgWRs4YLeSUZ59dXKBAt1xu5GifQXEBB9DfQ68mQzubPZZVQe/EISsVl7U1MQPx8aKjGYAg5kMJ5Mp1niqL2R1UWSvHMA+GMeeGMV3HnkuFwPdNleZsTKqZJlUckS1ea+TIECn/dIbKyag9DTBZGHRbkginW4TYpdcdBHRrZ00HZ9EMk1CyQSZnZ24MBGM+XlzY1cD9xweLLvusaEpOv2uYm7Wcig16OvNHEODFkKrlvbAlSKuyWQNkTpbpbxVLRayeYWJ2AkaetdTzHJfgDoxQ/bEibLfVFPgv3cPIo+nEEaX93SEf7gfu2ji7S43cFRN5JHdLTTUG0RTz+P97xjgE/8+wFc/fS3f/MkE+x75DW+6uY2N3ePsPeHngUfCuJwSZwceY03vbefcDzVceYiiic/17EIaF4PdotLbu5XHHnus7PelvCpr1qzhwIEDxGIxfvCDH/D617+eRx55hPXr1/OFL3yBXbt2ce+999LZ2cmjjz7K29/+dpqbm3n+859/SdpQw5VFjQ3sMmPdi/6wKhPKRC7H6/fu4/V79zGZr9zRNk2TT546xYuffpoD46Psw8tEMEiDZ34In0mG+Yv+vXx1sr+qjLCa5wNDh/nA0GHCs/SisY5GUg0Bcl4Xo1GNT546xR27nub+SISU3c7R5Lw9Oxqq48fHhvjj+3+NIVmYMCTUCRXv2DSWfGFRpJwd469+8QBvfOIpRqok1c+1445du3houvpH9KHpae7YtYtPnjp1wX31ub4+/t/ICINV6HuXkiEbBju0KLLH4O+Hy/tqoYyvTvbzF/17eSZZIC/QJRFdnl+ozI3H3eNnOJSOodvmi9sJAqyyu/nQ8BE+MHSYZDxOaDRHq23ei2Ji8kRyhrf37ynKSNf5CCTnA/+W66uUpvHj8XF+PD5ekeg9145PnjrF6x/4NT8/NV5xHOCXp8e4/j9/yQd+faAow2mVCwUsgbFEhpd95yFe9p2HGE9mK29gwg+PDnP9f/6SX56unkA3J+PTDzzDpm4T38YAY3V1TASCjAeDDKyr509OHeU1Bw9xxO5gIhAs+xv3B/jg0DC3P7ObR/MKqly5YDxXvfq/h4+wqkql+qciYT528mSZ7uZlmb142W968I5McXhkiL/s28vXx85UlZExtIo5WNZVs3r1obOHGa1CBQ7V53nQYsMnz9eieSA2wYeHj5Ax5se82erAIUpVdXchRpUMv4iO8e2pwWXfJZEF7TBFAWc2yzf0Sd7Zv49HxTyhKtXOL8Y8/+SpU7z/2LGKeS7NWttzMr7w7QdQDkwyKc7Przafi6Ddyj2HBrnn0CCpvMZkKsvx6XipEB7sn+Bre89wJlw94HZOd/9512laOisZ35ZEvQ9fq5dU1iz2QTI7711d2SKzprUX76n+RW9xZCSKpheuUQyBqCaTDQVJ+oNoIzMoy7CUpXQJzRTI+Mt3vUURGnwtRKMRmrwaq1stvPAFV3Pf17ewabXIm+5sYnBkhtU3P8w//esJ2oLjnDyTpD5kpb1phv7+xZ+5hv99kCSpyO4197eUsWK1Wlm5ciVXXXUVn/jEJ9i8eTOf//znyWazvP/97+euu+7ijjvuYNOmTbzzne/k1a9+NZ/+9KcvY4tquJyoGSuXGaFQiMlwJRvOD8fG2R+Psz8e54dVGBH6Mxm+OzLKcDrDj47uxzs2Q/rwOPq+weI5354eZEzJ8YvoOCNK5aLx17FJjmcTHM8m+E18EgDvyBSWTJ54WwOO3AzfHRllKJPhMyfP0BcD16o6nnQ18rS9HknXuefsKcZzGQYSMfR0FkuufBHxQGKK49kEZyIz3DsyWvEMc+0YymT5bF/1j9ldfX0MZbJ8d2SU/iohQefSV/8zNk5c03gqUlmP4Vxk/GJoiBOZ8r4qxYiS5RfRccaUHN+eGca6pR37plZKuX7nxuPX8UkykSiWkoTedQ4ve1PRivF4zjUb8DV5MUWBhK5xJpciqql8fWoA1WaludGOs2Thtlw7jieTTOTzTOTzHE9WLrbm9SrNZ3+1mzHRVeZU0RH46MOH6Y+k+NreM5yusmD77qEBnhkJ88xImO8eHKg4Hs7meWxoiv5Iio89fLjiOMBHHz5UJiNo5tncbbJhpcDGHoFHDhzm4MgUR8Jh9sYH2bBSKPuzBVL8pK+PkVSKB84OYG10knQ6UWQZdTY5vrSvjlXJtynVq2OJBPUlxiXAaC7Hf4+OFXU37PUy7fPjGZvBNzqNpOnLzsH+XLpizEsxp1dTqsLBdHXP3mIy5mqnpHSNGU1hSsuXhYF1z4aAlenu9FBVGQfTMVKGzgPxyWXfJY8kyjcdRMMknM/z09NnGFey/HjgGGIVY+RizPPvjowymVcq5rl3/zDCAhlTkQgRwYGGwPjewvkjiQxjySxjyWyR9evJ4Wn0Wa/aWDLLgfEosZzKY4PVw1vndPdbz5zg6SNRNLNYt3dZ+KJhlPEocjhGImNyckRl30OjKJrJ4Qf6Of3IECN7x5hULIzlrRXXJzSJn51KkNAlUrpEvi5IoDOARRLI5k1Mc/6VpJqVRotqCqhBPy0r/TQFqnuEvA6BE31jWGXwO7cU6xKLnh6++/lreOYn19E3mOF5r32K9atC/MHzuzFNG62BXTzxxBOMjIxUvW8NNZwPTNMkn8+jqiqqqiIu8F5LkoRhXJqcmxquPGrGymXGihUriK6sQ1nALrTN70MSBCRBYOuCuE6AZpuNkL0QPLbF5QdAs8plORVbXAXKyXrZVjWJdp3Ti0hh0NfO1kIQDZNglw9rNo/W0U7jbJzxVrsXZySBtm+YUP8ozpkY8RNTZTLsVUJdNm7sQZxtxzaft+J4s81Gyyyl6HXBynoNAM8JFkIRWux2mqvsvJxLXzXNXtfuqM7us5yMnW43oiCU9VUp6iw26uXCdZudPiYSOo68Qul6YK6vHJKMU5xfCPhkC+udvorxMAH9TJj1GQuCYeIUJZxC4bqgbCXlsOJZsKhbrh3NdjsChXCrJlvlrm/peFwf8KPvn2BQ9DAmutAQ2D8s85zuAn9Tm9dZlRlsZ1tdcTyubqskBPDaLATshYXWjd3V8z5uepYyWr1O2mav29wcwIFGXQBsjQ7MpoKXZNP6Ag1mi92O31uZbF+qV9v8fq4NlofEuCUZz+y8vS4YIJRI4E+nyfnn77XcHKy32CrmYClK9aqpSl2WpWR02VyIgoCtZF7OHbeJYjH3qVTG3LtkIeYq1Ick67LvktWOyr50TqYJ2Qv3uMHvqxrOdzHm+Zzunus8D+zu59CQiL6jnUen3Ny0ogmRwvyY07tYTuHAeGFDKeS04Zmtbt8ZqB5CN6e7TovEGovKhGLlvn4755ru5pN1LIJJajBM99BpPLLOsQcHWe3Isc6VpceRw76hA//OFfR1rGI8P580n0olSdokbC0B5OYATMdI5yWQXay3KHQEHLT7HTT5nNR5XUhdXTTM1l4p/Dnw5HUa6zw01XmLf3kVYmkDq0XAZhXYf2yUkEdEkmA8UhjviXGRnCrj91r5r89t4ZmfPIftG9woWZV0QiOVtXP1+r1cf/315HJLhxeZpkkydXEprWv43cX73/9+HnvsMQYHBzl8+DB///d/z8MPP8xrX/tavF4vN954I3/zN3/Dww8/zMDAAN/4xjf41re+xctf/vIr/eg1XCLU6qxcAeRyOb7+129l01C4LJl4YvaF3mSvXKTkLBYORQ1S02HarA4EQSDnc2OPz8epm6bJiJKlzmLDIVbfJQureUwgZLEVFxBZvxvVYaex3sbkqUliiQTtFkdZ3PbM6nZ8Q5PIuXxRxr+Nn+avW9eW3T/e1kBbZmLRdgBkNI3xfJ4VTmfV2HDTNOnPZGi22Sqqhp9LXwFM5nJ8ZWiIgMXCHK9VaZ2Vc5ExrGlE3R6c/ZU73KrDRtTtID8yhreznUCrh3RfGEds3vMw7rLxYKSfvG7BlS48rygIPN/fSEAuLN7nQoFCFht5t4NcwIPv7BRPJGYYyWdQTYOMoeORLdS3t/O2QPmibql2zNVZSc0WaXPLclU2sGrjMe3zE1rjJmTmEE2D0+EkrV4nLuu8jLf+5Cm+9NJrMQyDM5EkyZyKzSIxnszxrWNjiJqKoWuohoFVFHG73ciyhEXLk9N0tJJdMNOEZF7DaZGQpcIzCAjFSuemCbnZpHeHRao4DqDpJllNJ6/phDPz3icdEb9oJSCKJHUNNwKiIJQVvJzbgc7NhtPYZ2mOR7M5siX04qZp4pBl2uz2Il1aWLIjahqCbiCqOjlDwyaISILAmJJFW/CKbbLYMaFoVJiUM69ppklSU0nqWtkBn2TBJ1swTciaOjZBLBrUsiBiFUSm1Rx9uTQtVjuyIOIUJWRBpNvuYqPLj0OUcEsyMgIxXS2+S6C8zoqJSULXuDPUtih72Jzu2kWpap2Vba0dSF6TrZiXbJ5nNI0HpqcZzWbLenGuzko1GQag7OzgxIyVW4JRTk/HuefIEE7L/DvTYZH58+0reXhgkn1jYRJ5lZDDBsJ8nZXSdszND6dVZlJ04jfyKJ11i1a1L62zMofOOg9/ev1qVANkocxJS1ITGVVs6Ca02hT8sk5q01oe/68H+OXJwiJfMwXkOi/PaQ5y66oAvgUJ+YYJA1krPc5y9ryYJqH09tBWNz8G3/zxfh558BRNXV6ss3Vf/vRlO2hqCDA8pRP0P0A44aLeN++5iydVvvTd4eL/84qMxxfgH/+uhWf631tkcloITdP42rf/iVU9W7n5uS+rek4NlxZPPfUUr3z5zRz4xQ2X5P6f/9oAQ/Frz7nOypve9CZ+85vfMD4+js/nY9OmTbzvfe/jBS94AQATExP83d/9Hffffz+RSITOzk7e8pa38O53v/uc881q+O1Brc7Kbynsdjtv/Pjn+eYH/opNfQauZT7IAAmXC/dUnEBJ5elSQwUKA95uWzp1P2SxYUhioQ7D7NafI5bCEUuRHQcv4LVW3iN0+iyJ1gbssRRtKYGY3Uq/liMd8mGPp8gGvWgOG5vMBLYl2gHglGV6lqhbIQgCPa6lE4GX6isAhyQRsFSGTSyUYQLjwSCNkQgioIki034/jnyepnwe2eUkTaWxYsnmacjmweYkarcSH0kgzy5KDVEEXeeZdASPxYqpzi8a1ju9RUMFCuMxh2zQh3+4YOhtdweYVnNggNPtQLHKmNExBqyNdLvmx+dc+mq5GiGl46FKEvEd3TQaGYJmdk4Iq+sqvQDHpuK85cdPIQhgk2ScFhGX1QKCQCKbwy4JeGQRu8dNtyyxY91qVvU4yYhuWmci+KzVDeqUYCGLhCJItBrLEwlEBBseU0GkkKvw5PAUTw7PhybFBSvXrelmx8D5EyaMZXP8eLw8l0cWBV7X1lZc/E75/YxP5NAcNkRNxz05v0N8OYpCGoZBzjDIGhqD+TRPJcPomGimiWoY5AydnKmzJxkmZxpkdZ28aZQZegARTSG14FmjWh5JKBhVc0sASRBxiVLhT5KxCiJjShabKGITpOJGiT+dJ+GtQxCqM4BdjHnulGVa7HZGs9V37ktlTF+zEh2BwN5BoqdTeG021KDI6nofz+1qYM/ofP5OVtV4ZmQGAIskEnIuHlsvLJgfTUaGUdFFj0XlbM6KYor0nEctFkuVeAePbLBWLg/Hs+07xpGRCFJ9QSfUqSQNqSgv7mnDUYU5TBSgy6GgmQVjCGCwaxWSKNDsKRe6c2MLTx8eh7EZ9LZ6BAH2HR3hle0hvE6TVNZWZqhUg82q4XXkmYosPYayLOPzhehq37zkeTX878FXv/rVJY83NTXx9a9//TI9TQ2/DagZK1cINq+fP/nUf3DPK+5kg8WybIV3XRTLch6eDUT9AuI6Z9c1La0O+jIe5HiSJovEOrdGsj6AL53Gol5chqpLjZzFwn5rECFn0gQossweZz3us2HsaxqITaTxHJ8Cq4ysFBZxnt5GNFkm7PVie+oUkqYTGCxfzKp2C6fqHSSOT9MkqsSkgnESkK2sqxL6M4cul1EkTLKLEtvcQR7VkvjtAja1sNh5NDxDs7112ZofFwpZ1xGOTZFcFyS4BHUxwPoGH1966bXMCHaU1iAtI4VdkYUV7PM+Nz2YbGwOkM7KhJqdSMkMmJU6n0bGbaq4UZdlJDMBDYGgmccABprb6BmvjI+3mAaW45OwzMK3GlocdtocDkay8wtFzTDZH4/znFAIRZYZm8zjuoiFQ88XoijiFEWcyAQtNtYvCO0SKOjTcjjXCvZZQyOhacR1lYSmMqPmSOgqpiySzqRRzcL7JaIp3NpS96zadjFRv+sMyZ1dSLpOcyTCWChESrDhNDV2ttVzZDJW9N4B7BuL0O67MPa0gJHnTL+Ax0yhtwaJqDLB86Q0Xg4nJ2JkFQ3VZiKJAo5GDyvtOg7r4p91acGmc16F3g4JUSw/sKqrnqagjUkhhDoQQwx6OHJ6khfdpNASsnJy9Lmkso/gtCksRXzntKmMDOoolkNAdc8KwHU7Xs7U1BTd3d3n0vQaaqjhfxlqOSuXCadOnar4zWq18rFTp4n3Nix7/Vj44n7oANL1/nOq0mICyeY6xuMjfGv/Ab5/8HH+88xeNNPEpqrUJRJY9GdPY3s5YQL7bSHyXhfbczOMhUIc1l0E+kbxd/vpHh9H0g1SLXWkG4JkA4U47anRNJMzCtanTpENenFvaMLT24hrY3OxGGAmkeTAmbM0iSqqJCEaBqIgsNMTRFzCRR07Xr6TXtfcxOZGH7YSQzat6TxehaDhYkDZ2U7a7kCTJLzm8oUW51Bn5oqGSjXYZj2ATUaGHj1BYGQSdxVDxQAy7YsvbhVEpgV7UWdn2psYbG4l3N6EAFUNFQAnGvraCyf4vjrgr/jtaDJJWtNQZLlYv+i3AYIg4BClsr9zMVTOBw5RptFqZ7XDw1WeIDf4Gljr8LKmo4Ot/nqu9dSx1V3Iq2kJ/nbth3meHkSeDT+0qiqDAyopwYLDInF1W7nuqYZBf3S5krvV4USjzUjhMxWso+Gqye3PFgeGCp6gUCJKMB7GFw2z8Rwq1pcid3K0osYLgCSJhFQRayRGo1XFEY+TyuocnmUMVPRdxJPPpW/0FpIZG7ncrUxG3RhVmMe6GqO8+e2fqcr4Nodjx46x7+h/of+OfUdqqKGGy4OasXKZkKnCdiNJEnfddRfaOcRYtoQu/kdfK427XnAsE/IR6ygkjpqSiG638J3jx3lefR0fXb+Oj6xdw+c2brjoz3S5IADXpia4emaEqUCA9JEJvKPTSJqGVdWw6DrbzTg7tCiCbhDsKCTAO2IpbPE03vWN9NrzNEciNEWjeDIZvOsbCXc1sd+r47LOyTExBJHu9g588uJhaQuR9zhpr7PwBy4XjgVelFOpFAPpcyuceD5IH40ysG0VravsBJbxqpwrcj43WWRMYLS1BQAr1T17IlB/dvFCirnOenItQUZFF0elIGldwjMZRjEF8ojkWGpRLpCzLF/Nuxqa7HY6nOUJ3Jphsi8eR5MkhBoDDYYkFsIfAc1mIavreGY9MhGPh72ml9FQHaokMREIogsC2mWuRVMKRZbJ2O1kbXbqzILXcltLEK/twnRkKbhNlbR+cdsay+QZnCkYUqJQeHvbLTKrmirDBJdCprUZl73y+3PkgX7WP3cDStAPgEM0Cjp/tMDwuLHjBjavsLKyRUYSbsTrFMnkrMRS1T0jfk++atiOaZr85Kffoa7jGG5HB9Il8hjXUEMNv9v47dr2+j2Ga5HY7Ouvv57dd30Gqryk75ucZDSb44/bWhGq7EoN5tLsSoa5xhOiq0qxt6yucV9sggaLjeu95TvLuizhPTvFw2qCcXRes2k1HlGkz3TiHZmirtWFJ5Nhf4eL+/vO8iczOVodDjbNsvI0zIbUpDWN/zcySqvDzgsbqzM9lbbDVSV/4mQyxa+np3l+fX3VonsXQ0ZYUdgbizGcydJoL8Sfm8CM14c8M01mJsKRbAKPJNORj+H225B1DVcuhypPciBq5dDEOClNpaepmT8eSmAtyR3xZLOMTU3zk5GzuASRkLVgmMi6QcDuYJXLR4w0D44MVB2PvNtBoNvPo0PDnJpJ8oftjVhzWZySxHPrQvxqcqrYjv50mrSm8Rc9KyrCwUr7apO3esjZYn0VSKWw6AlGJqf4z5Oj3L6mld4Gf9G0mFtupfIqX9/Xx2i8Sk2VWZyYTpDIKWzRDKyyyFTK4Nc/e6yY9zCWzHJkMsaGRj8tnkomp7ym8+TwDAGHlS3Ns6xx+/sA2NrRTEtdkMd/c5DhWJo/29aDvcoiczqd4/RMko46PyuHU1gWzKHz0atb6usYzpS393giSS6VYtdQ36JzUDV0jmcTuESJjkWqxz+emGZKzfNCfxMOqVJ3Y5pSJLWolrOy1Dw/VxmDuTSPJWZwiRL+Kkb1cjJUp53k6ChhTNZ4gkynNFRB44ETJ5hSJeyxFFOCSb+SZn1DEBw+BNOgM5dEng0by+sGe2Ix/BaZ3hLd3eEPFPO0zmWe96fTbPJ6aa4S9jc35r6NnVxjmrhKwvtkUeTajno+/+SJgu42B7HKlUbGiek4jw5OFefHQszNj3afi5etb2dKdNJ2gSFgOUPgUGgFG2YGcErzRvGBoXCFp2J9qx9ZOj+jaHu0n8GpVaxoKu9LY2Ub64cGWKmniQCSYKJpMDGdYHwqQXNDYXzqffPvn6tWXsX3pf/CNAWEWQNqYibPN/5nhDtudvHD73+RdDqNJEmIokgqleLJp3/J+k11/PLXKXpX/QH/8R//UfU5N27cyHOe85zzalsNNdTw+4OasXKZsFjxo2AwiO3DH+Hwh/6BjSUf32eiUd539BgAE/kcf17fUMYaZJgmHxo+QsrQuC86ztdXXV0RYvTt6SF+FSvsVPslKxtc8wudvMfFwXoLX7z3CQCkXIwPrFlDvRAjH7LimJnBNE0+8PjjxFWNXw+IFbvLAJ/t6+N7o4UQoDqrlR2Bcjrihe34wJo1ZccN0+TP9+8nrmncMzLCIzdcX9GOZyvDxOTe8XHypsmheJw3dHYgIDAm2rEOTSHoBvtSEfryhXj9m0yThrgdQxKx1bnIxPJMqQmeiBXqYiSmde4MrKpoxxv37SOp61gEkT/t7sJiGOhWCy9a3YbL6eTTjx/hwdm6FqXjEWtvRNA1zp7p4xP79wOgGlnev67AtNbjcrHS7eJ0KlVsx5FEgi1+Hy9oKA8hLO2rT61fVzFep1Mp/m1gcNG+ip5O8rqfPUo0p/CNfX0c/ss7GJM8TA7m2NahIQAfe+Qw39xfqJHz5PAU13WUP8PTZ2f4xanCDmxSUbmlpxlFN5ieZUQzTfjyM6fI6QZPDk3xtp1rWOhc/E3fOAcnYgDoplGWOyBoCicGh3nbvU8DMJbM8Ilbt5Vdb5rw/cND5HSDfeNRXr7Nj+Qpp9g9X73a6vMxVGKwqKbBBx99jIyuLzoHd6einMwVdsDtokSDpXwBfTgd47NjhRDRGTXPW5p6ytuByUPxKVRMBnJpbvY1nNc8PxcZpe8SCwIvC7UicO4ydItMXFd4eKpgUMeyKm6bjN0KJ7MGlkyGrKby8/AoKiYnYjPc1rkKu8fGqACuXCHk8NHwDMeShZBB3TRpmaU+nis+ej7z/NTRozz23BsWf5f09/OVrVvobW5mXKyn2Sh4KuNZpUJ3y2SY8IYfPEk8rxbnx0IZpfOjwW1j+3N7yRkmi2erzWPoVJrO1fO6bhNMhKEJcnYBpzT3DCaHzlYW89zQFsQ0YUyxEJQUHPLyHnutJDytf0JDFCCeMagbHCBg1dnQFuDRE4XQL2c0yjQB9hwZYbsoEVuxgqaARLAkOd9uaQWzv/ihUlSDqXDBS9vZauHArruYjkrUN19HQ0MrE2NTtLTb0DItzMzMLPqcXV1dy7alhhpq+P1FLQzsMuH06dOLHrvpppt46S/u41BJvO7Cz4whLlw+PDvYEykYjxX/fzie4L1HjvI3hw7zwT17eduBg3xlcIjMbMJp3jD4zvbt5y3ncpAIXqgMQ5bBNBEohLHMQXUUGNNE3UCdTGLJKcglxS/FKmE/mmGgzu50CgJMSIXcjzpvM8KZGDOjaSwldLqZkA9PbxPRziZ65QyKx81x13z9ELuqlBV/vCEUWiQc7OKSGjjyefTZHp3bt1UQcaczPDJzLsstKgyPS4HzkmGaCL3nn7OyUMRCYwYKi+png4s7q6+MDEnVYGaemdAiC2iahmrIWNM5aPRVhJkKuoEwGsVEILNEFeuyay7iM8/dz64oTPXNG6ALE80vBtTBKEPDCodPL5/bVGqoAIQ1GQMBpeRT3T+VIJ4pzynzO210hNwIAqimyL1nsjw6pvPDYzEmUovnnzklA/HYAMeGVTTdJJY2sMkC9dbCe780B8YmGrijER7dN0I4L9E40EckWXgX7jmzi4ODT2ORBNRFQt4ELUfA72LLeplkIo6u6zQ1+5gZ89DS0rJs39RQQw3/e1HzrFwmrFmwC7gQLpeL0dtfxNr7foFVFNkRCPCp3vWMZnO8tGcF/SmB0tRJURD4SMcGnk6G2ekJVU3c/pP6TuosNhostordVnlLB6+emaa+dz2fPdPHO7u72REIoHg8nMrKZGb6kQSBr2zZwlPRKLfU12OdXSznLRbSNjvBVJJ39/TQZLPT6rBXXcyVtuOP21orjouCwFe2buU309PcUl9ftR3PVoaAwEuam+lPp1nhchUXb21KinGXA0MSuSZop35awmuRafc6iOYpLLQA1W7F73GyQxJIYXCdp5LaeXcsxh1NTfSn03S53eh5BUdzHavtPoRUBFc4XhyPgM/HHa0+3LEoTbOL3XaPhtLRwad613M2l+ePFrTDIUncVFfHaDZX1o5HwmGa7fZiOFhpX23yehlYELq0yu1esq/cSp7/2LKFB+Q8t69qZd+IFW9qGmVDM+2Hxpip9/P3N26kxePkV6fHKrwqAFe31XH76tZiKE3FeAjwqo2dnA4nWRXyVDU8buhsxGO14LVbqzIyXdfRwL/fsZOz8UIY2FIymkIhxKPTsMCzcr565ZJlupxOnolmCTpF0nY7zwk1o+TyvDzUVlV3d7gDWMUC1e9CrwoU6Ijf3bK6GKJV0Q4EbvY1MKJkuamKVwWWnufnImPuXfLD8AguUapq3Cwno8FiZ6cnRNwi0hUIcXh8BF+mQHtsjEURS9rR1taINV5YQOfCGRyhggfl2kAQtyTjtchFr0pZX57HPH9TZ+c5vUvSOzroMBWYzdGa06ufnxyhO1AZkioI8I1XXMdjQ1O8cHVrVRlz86Pd55qdHxqakSMnLP+5La04D5DSJbrseRqt84bO/qFKr0pvWwBBEIhpEuNn86xpqycWCbO+0UWTe+k8HEmAzqHThFULkimQWtFRfI6g205b0M1IpGCMWkWT8EiYo5vXks/JWPIGpmnitCtIxjZM83FSWRtBOVNhXTpsKpGIzNd+NcWNN67j2KH7sLhDtLa21mpj1FBDDUuiVhTyMiEajRKosiAqhWEYfPi663hVSS6EIstMBgKkj04gac+OKSWpqexKzdCXTRN2WrFZBGRdp9Fq5c3btzEW0VnpVDmdtbDNjBf38nKz1MomMNDcTHIgima3sp0rR9d6MZG1WnEo5buPCaeT0xkZTOhxG/jTKWa8Xiyahq8KWUIpdFFkrxzAksyiuu04oknsiXkPSLrOT3dAwJtOF7/ne/ERaHLgyWZRJRmrplGXOP+6IBcDabsdVy5HxOPBnc1i1ebj7ceDQTb2FJ56rijkbzuGRTeOp4cuys68IQjsttVhyWQRNQNHJFHV0/a/EZrVQqopiG94krtGT/CeBQVj52DOLkwF0yTvcVLf4aExGr2cj1qG9M4uOo1kRXHOiwkTOCoFee7KxXVFMQSeGBC5uef83/OnMnbsosGMasExEcFqGlg6fHTYl2b1000Y7FxF7vgI2fYW2iaGabKqzK0KFtoQSU3kEUsHq9IT+LZ0kEib9DRLOGwiT518hoBzKx0NEgcH97CyZabi+rwqseG2XbznPe/hJc99jANnb+f1r3vXebe3houL37aikHfffTd33303g4ODAPT29vIP//APvPCFLyyec/z4cd73vvfxyCOPYBgGvb29fO9736OjY/k6VjX8dqFWFPK3CMsZKlCol3DN3/wNmS98vlhwLuLxkj04uiTP0VJ4MjHDfdFxnLMF3FbZPfzZNVvIKzY842EECmFPieNTSH4PZ0wLgmkgipCXZQ4bbjCgJShxNiviOTqOM6fg2tgMlRt8v5NYaKgAeDMZtgoCpgBSuvDlrkssb5xposhIfQN6GurbJeyahhoIkDyto7gcaHYbjUEZ31Q5TfF24pgTcTI2GzZVxbiCO43O2SKlwWQ5bWvKbqd5pQPM+dyT33bMFZdculTquUM0TazpLIYk4pq5NBTSv6uQFRX/cCGvq5pqGKKA4nKQDXoRDBP/2UlsyQyToxL2OueymwCXCslTCWKrbJwYFdnSomLn0tDn1pk5TmR8rHVWJ6awiiaCaXI2Z6V9GSMDIG8IjOSs6CNxzDY7ynCcFlNlVHQxIDm53b48o99Azk5Xg8TRYwIrpwbxW3WmFZkZ1YLa3cqmqTNl53tkg535EZRNK+iol6GeYqK/KJpYZAGnTWRL1w4GpzTq/A+UGSw2i86OHTuYnJzE45K486VvWvYZa/jfh7a2Nj75yU+ycuVKAL75zW/y0pe+lP3799Pb20tfXx/XX389b3rTm/jIRz6Cz+fj+PHj2C+gllYNvxuoGStXEGYxx2H+bX77K17BO7/337y1JNnwQpet/dkkPwqP8LetawlZ5yex3e9jSLPRGrQwFlGR8ireVXV0xGMcwYGkqOwzPbS6ZbzHJhGA5KiI1FJHsrmODpeBZZkilr8PEC9gNS6aJr50Cr9hcjzlQtJAymdp7AnRFAkjaWmMmUViugHFYmGvt4ktqSms2cXZti4lBCCzs5PM8RjBZIKY242s6yQdDrrMc6/E/duA0/06zeH+i3Y/RZZp80mMRGr1IM4Xrg3NtKTTuLMRYm43o24HtlQWRyzJgORjpc+BO3f5dV7Wdc6eUeiMRZlqa6fDSC1/0XlCoFBnaHhUhFWVn92cIZDSJXxmHsU8d4pzj6zTsNrO0bTAjOhkKOSl054neE4VtGC6sRX1kSG8koFf1knpIur6FawLSfQ/3A+V0XhovSvwlNAdz32/RMEsJts7bAItQYlT40G6m8qNekEQeMmLn8e+42leeVV5aGYNNQDccccdZf//2Mc+xt13382uXbvo7e3l7//+77n99tv553/+5+I5K1asuNyPWcNlRC3B/jIgmUwSi8Uqfh8aGqrKgPLuj3+Cv5plbBqNXhjlZUTN898zZ7nZ11BmqABIhsFVqUmaohG2CUna6y3Y8zmmAwF8w5N4xsN4xsMkZg0VE0i01bPNiLEzP0NzJHJOXob/jRBNk0AqhT+T5trMFFcrERAEJsMKWZuNrM2GtETYkD+V4jkzwwxErpzbwgDygkTTWidjoTq8632k7A5MUWRA9JKa3eOQRAFF++0OgerusXC2oeGieKqmfT6OZa2Ez0RxT9a8Kkuhem8L2BUFARBM0BzzifWucJyY232OS+yLi7pEnOZIGIthkDh1YUUgzxUGAqohsPtMYd7EtILPXMLk9JBGnZElo4sktcpPc0KTmFQsJDQJxRCwiSYN1sL3IWeI1LXY2ORK45U0uh3nVifp2kQf61zZ4vkTipWuRplTDw0gCdCXtaMaAlFV4kTGwZ6ki4l9oyize1W6Pj9imzp3MhrWefTYXjTN4KkTCj5HJSnLpq6zhKN5sor/nPuthksPwxCIp+2X5C+nWtB1nUQiUfaXzy+vp7quc88995BOp7n22msxDIOf//znrF69mttuu42GhgZ27tzJj3/840vfSTVcMdSMlcuAkydPsmvXrorfD/7gm3z3b99WYbD09PTwk4MH+aqmlxWcy+oaZ/OZRSsBm6bJ2XyGrKHzhfHT/HF9J7cHWzAFAevWdqBAXXpkPEWkpI5BMJkk43CQOzhCTlMZNBSibQ2kQz7sm1uJdTaxiSTirIy+dJqMtrgRNZHLMZFbfAc+rWn0pdNLtuP3SUarNYfitHMqYyHmLk/aXShDACTTZLOj8FvqMrfDBGLX9GAcnWZGdLC+G+r1DP3pFP6JCVxPD/D/2XvPKMmu8lD7OaFyruqce6YnR00eiaCMJFvIiGiBAAsHbGMswIFLMBgTBPcSZMwHxoCRBUJghGySRglJKE3OsSd0jtWVc530/ahO1VXd0xOV6lmr15qpU+e8O57a795vCIo2BkUHDpNMdDzs7GA8zWB8djOeZE6hcyw+Zz06x+Kk8rPX43xkCIAiywiGccFt1Rs1EIfHGEzOXY+JOTgbISVHSJn9R/pc5vkrSUb60CDDfj+6IHA6KWIfjRTJEAxj0p9lgss9zz2LS3f6L+bYzdR46clZkA2D/UkHB7ohrYkcT5jIjA5iNxQaBwY50aWS1wWOp20YBoQVmc6IymhnmANJB4N5M3tOTvXNeleKJfYs1WZ1UoG5ECwrmtEWt7Dk2naOpm1EOhaw+oZ2ZMFg7XXNNAQKStb0vJ66AeHkQQQMQkmDm9ZbaaqS6B8rDsjwzj+s4te//jVLVv3xBZezwsVDlAQ8tfZL8md1mjhy5Agej6fo70tf+tKs5Tl06BBOpxOLxcIHP/hBHn74YZYvX87o6CjJZJJ77rmHm266iccee4y3vOUt3H777TzzzDOXscUqXE4qZmCXgaampsldhOn5VnaEcqyID/O7r36aWz75f3E6nWiahiRJuFwuPv7Tn/LpP7idmxHJaCof6dpPUM1xi6+eD9SWHnn+YLSL30aGqJYtXOHwctql4aupRgBsusFeLc2XzuyHM/Ch113HjY011EQiWBUFk6oSUVU+Oi7j7blR/m7ZUizBIFIggCVU+AH88smTPNA/QIPVyi82bZz0rZlgezjMXx44CMC316xmi784GlRKVXnrzl0MZrPc0dTIxxcvLqnHq01GvdXK59/xDlRNpz+uMRGkcz4ybt21h1AmfVnrYRiQW1GH48AAR5wOHjp1gB/sOUWdx8n/rLkC145uztTXYzWZiGRynBiLccfPngPggXe8jte3FSdYTOYUrv3B4/TH09y1voPPX7+2pB6ffrIgo8lt56kP3IjDXFyPZ7tHzknGP19/BaNiwYbFl4giAPdcQFsdyFox0lHu7jnAWD47rzn49QVXYBOLvc0OpqL8S9+RQp2bV7Da4S26fq7z/OUqQzOMEhmCYZA8Nkq03Y0QM4pkfHnVlSRHMjTKUwrBSzHPV9KGztQuXiKncN3FHLvvTLKstaYQ2XEgwWhzPcfiGu/85x8WyajXU7x4xkuTHibS7uLbvz7KD5/bh6Fp/O4DN+I0yyjNdRhGlqwuYpPO/4RTNaA7ayW/oAmXrVDzjvpCHQRBYN0NrRx8optOoYmwYiqKgCYIAtGkjtMmYDMLbFq0jt2n99Af1FA1aAxI2EybgMcn72lrshKLxfjNb37Dxo0bK5HAXiaIIvg9Z/eVOh9sVo0VK9bw7LPPFn0+W/45KERQ3b9/P9FolIceeoj3ve99PPPMM3i9XgBuu+02PvKRjwCwdu1aXnjhBb7zne/wxje+8ZLUocJLS+Vk5TJQV1dHPB4v0fo/+9nPsi2s83pjjPe/YR2apvGf//mfHD16dPK+f3vhKQ6aDcbUPEG1sIu5PxUtK2d/qhBRJ6jmeGP7Io4Gg6wzYqw3YjgzaQaEFLphoBsGuYEziIbBQHU1GbMZwTAIGuqkjOdGxziat7FH9tM/zTLi+XDB/GUwm2WozBHu3mgMzTDQDIN9sdJoVsO5HIPju5gvhMtHAHq1yRjKZmFwAHOTh1rfVBjR+cgIZdKXvR6qIFCjZ4m6XIi6zuNdhWAAw7Ekg+MyzIqKxyIRzyns6B+blLGzvzTqwmAiQ//4icgzXSNl6/F0VyHhYH88zUCZ05OzyTia1CZlPHZimOMnNYw9Q+QOBCcDBZxvWxlAm09gwGZiLF9oq/nMwbEypw7H0nF0CqZ2xzOlppTnOs9frjJyhl5WhpRXyMsyqsVUJCOoKyxxFJ8IvBTz3LarlwFx6vRz+ri6KGO3r/gUvaZvCOXoqRIZNjRWaSG8Ro6RvIl9w8P0RRL0TztdNIsG+09p7Om6MOM5icKpSINfYuE0JWVCiegcUGm25EnnDLZcU49pRrJJj0NgKKJhGAYWE7xu2QbWdZjwOwvLi3KqyIsvvsgfvu4FQqFXSZSWCmdFkiTcbnfR31zKitlspqOjgw0bNvClL32JNWvWcO+991JVVYUsyyxfvrzo+8uWLaO3t/dSV6PCS0RFWblMrFy5EsMwyExzmjabzXz5/p8zEE/z9xsX8r//9X3e//73F2Xr7T9xkoRo0GS2cYuvngazjTurW8vKeE/tAhosdm5dtIhr6gtO0RMd7EsmuaMqwBUeD1d4PLyloZ76YJChjIio62iiSItkmZJR1YolXnA03Zif+kH56MKFtNnt3NHUyAJ7aYyl2xvqJ2XcXibR14Lxe9vsdj6ysLxD3KtRxnpNQz85SjCY5Wj45V0P8+FhwqKVla06hiDyN60LaQx4efOGlSwcl2HL5TCZLUSzee5Y3c6mpgCbmgLcsaa9RMaigIu71new0O/ik1evKluPT129moX+wvcWBUpNceaSoSFgiVgm6/H37W3URiOYVRXnNBOi820rAfBkMrzZqvK2tjbqbY5Z5+Cd1W00jM/VJnOpd/L13lqW2dwss7m5zlNbcn0+8/yVIMMmSGVljActpsVpcEdDx6SMhVmdmKM4n85LMT8kXUdDQB0v6Sa/5ZKOXZh7fghAbf8QtzdXlchw9YzQqiewGRpHYnPnUpkLQYDF9ixDO3sJJ3QGQ1PmZYpqkFcMTmWsLGky4XWULhkEQaApICEIAroOXSMqTxw8yAsnDpDJG+QV0LRileWxH19LKPN6qqqqzrvcFV5bGIZBLpfDbDazceNGTpw4UXS9s7OT1tby77MKr3wqeVYuI7/5zW/YsWMHn/vc54o+//Wvf82i53/C8E1/ztatW3n++ee55pprgIJz2e0rr+B9zJ093ACsa5uw5fJUxQpmL+/fs5fvrFmDVS424dgtekHXybkdrM+MEXa5GRtIYosUdqCzHgfVTYUcG7Z8bk6H8ArzI2M2czImYEpncS2toSkYnPe9ox4vvkQc02Xqh4jTiS4IGIJAIB6fDLIwc4f0h+EwJpOZP75uKTXG5Y/ipCIgU/Cz2dcjEYjFcMzDYfNCyEsSIY+XkZEMjmD0ksp6JfP/xvOsTIwZzSQXMt0D8foqRFXDnM5iThXGjSEIxBuq2GC8NLmFpqNIErkNzVQZWQ4Mmbiq7qUJqQww2NRAQ//Zf3vTSIRFK6sXnb/SEszLnM5YCaysp7lKQpbAZhbmbaaVzOj8/uhR2muWkNd20ujfQv+Yht0ikM0b2G3P4XUWNg+OntbY+Ae/xl5Ggaxw+XnxxRd5x9uuo3vvmy7J8+/5106O966bd56VT3ziE9x88800NzeTSCR48MEHueeee9i2bRs33HADDz/8MO985zv51re+xTXXXMO2bdu4++67efrpp3nd6153SepQ4dIxnzwrlZOVy8gtt9yCqqrs3r2bTCZDZDwR2tKlS+keGkGWZURR5LHHHpu8RxAEUo2lWcJnEm+qoT4UonpcUfnQgYO02e2IYukPjSEIWOJpnCNhQm43ycNDk4qKAfhbPNRFwjizmYqicpGw5vMEml3IOYWRsbntgkMuNymLBQMYCFTRqdt4tmEBeel8s+2cG5Z8nuyKejzTklaWW67UKQpSLErqUIiDZ8rn1rgcnDyeZ12rhra2dPf9YhN1uQAD8QITtJ4PqWpviQP6yxFdElHsVtwr6nCtqMW5sg7v4irS/sKGi2s4RFWDHV2a+vkxRIHq6pdHjoSIy0XuaIiUIKM0+4gKZnRgb49Ej+i6rON8PooKgB0NZ5Pz7F+cg2qzyiZ3ktquMwRfPMPu3/WTPYsLw7a9hyb/fah3Nwvrx6j2PY7DlmUo8jxe5zOEU/uwmAVUy5TP0WBscUVRqTArIyMj3HnnnSxZsoTrrruOHTt2TCoqAG95y1v4zne+w1e+8hVWrVrF9773PR566KGKovIqpuJgfxkRBIEvfOEL3HXXXdx+++00NDSwatUqOjo6EP/puzz88MOYzWZWPP4Y+X/+Z8zmQrz9q0KzR8PJO2xkPU6WmTKYclMLKK9J5m8XLsAsluqjG7QI/QurSR8eIn0oUbwQFagoKJcAAdCFQl8YgjDnyj6QiPOisw5zLo3j2Aj2Ki+r1Rgm7fIskO35POKeLnImM4agFGWwn45LlhnIZnFlMthyOfrFZpovQY6K2ZAxSAgmLMtdxI0sxiVcx+/TnLR6BILdcczpbLn0E5cEXRRRzSZyXie9UhUNrYU8SIJuYIgCzuEQov7yys6Zs5qxmQrjXJUkDEFgOKrhHd8QEQyD7IEBpqsmoqYzFszSwqXLIj9vllYhYJDZP0CDHENe7iAmWLBnU8h7wgyub6BRT73UpSwhq4toBkgX0ICiAG5Z41RtG9X9A9gscz+sObBk8t+dAzWsW9gPFMLgKiYfB850UOs/SCZn0OSZUrw6ll2aTOkVXh18//vfP+t37rrrLu66667LUJoKLwcqJyuXGUEQeM973sOJEyc4evQoP/zhD4FCQqNrrrmGPdu2UWW38+T4cakoimz4i/fP+jzvQh/rKTV/Wex0si9a3qRCAMyqStZTuhOn2K3Yc6+sxH+vBHRBQNI1VLNMy9wWfQCs0ONYEmkkVcMaTZI3mdhpuXz23VZFwZnNzKqoQEFZSY1fl3Wd8KkpRSUqmOkTnfSKToKClW7RRUiwnveutILIgOggN+2VlUImKNhQD40yfCyFZXffeT797GTdDhIOO6bM5Z0bukniZO0CelIuFsT7GBqQ6A9a6QvZ6BuzkmisJue8XKrT/NBiScR4nuThIbIHBsge6MfTO4xwNotj3UArs7lyuanZfgr/9tM4s1myFjM6AkeGZFheRWRDO+rL9Gcz0D/C8bSNzrSF88hnW0TVQB9mYfZNq1CisHHic4rs6NwBwDWrmnA7MuQUib5YE25xlBVtz1PjTZDMHii6/6cPPV7yzAoVKlSYjZfnW/dVznXXXUcqmeSxxx5j8d5f8vDDDwOwbt06PvjpTzN81wcY+dWvyOfzGIbBiSfLxw7XJRHTLIvJtR4PB+dI3OhOpWiqMU+aZkBhFze8oBFX+qWz0X618oK3keipMO6lNVSXSRA6E3c6jWeBj5zThimb43TezMZcaQLRlxKPyURymjmUWdXIj79Sek7nse3owb6jh+z+INZdvSQPhtjXI6HNsneeQZp0bJ5Op+TlhVE7gz0Ku4anFuZDkoPE6QQWRcGfSBD0+S5yDQvogkCjwyB1fBThMh9iJBqqMATwLrVzxtcy+bkhCRh2mVSVD/FllpgzouZwSlOH9oLBvE5/dFlCfhmd6hqAu8PFoOigY6Af675+HPv7EDFIc3lMMs8FEzr1/UOIgsCFWgu2WPMIAsRSU/1xpP/3jMY0Tg+peOwCe8+8wOG+I2zs2EQoobHvzEn6g15EwaDGNoKivAFJBFkyWNpS7KN3wxuWXlgBK1So8Jqioqy8RPzTZz5DMpnk7scP861vfasohOM111yDe2iQm9au58/+7M/Qdh0suT9V7eVxOc5dj2zj/t7SHeXlLhdHEwneumMndx88RGaGCZEtn8ceifD1zn18pGsfZ7JJBMOgw0gRcU1FtLm/t49bX9xeVgbA0fjsMgAymsbdBw/x1h07OZoonx36tSBjoZCmU83yoUe28ZF5ymgcGyPrcWIIAm02FcVk4l+Go9yyYyffHxwiL5dacV7Otvpy50kS05TlqliUIdFBWlH58oEd3LZ7DzsUFWs+j6zrOLJZmoJBTpxU+edHOtn4rW18fdcZDGD7gJWezhydJ1V295rYORznuh88znt/8SL+bJTVtXlWNOu8rq5gftOnynzy54/zV089yTPjC+PmGUELLlaf/9HuPew91o8pU+q8/6vwAB86vYdfhQfKyjidTfKRrn18uf8YuTIJFnO6xpf7j03OwZkMRK28ePogn/vpT3jh0J6pCyaJJmeayOEUR036Bcm42PU4monjFEvH5tlk9AdHecuu3S+beX4skWCkN4d/x2lkXceZy+HKZvnpz5/njf+xjX/f1VlWxsHhCNf94HHu+sULpJXSzaS0onLXL17guh88zsHh8iGXv7urk9d9dxvfPQ8ZYl+Yowkzw4kLy5nRZMkzGptqo0zORDL3NKNRlZODKovqtnDdqlVk8ga5PGzsWIzFpCGKBgF3GsNxlEjSjt2iMBR20R1rIRi1c3KsndqmZRdUtgoVKry2qCgrLxGCIPC+O95F11iEsbExXnziCVKpwkKspaWF38XiPHXsMN///vd5OD6CYjWTCnhI1AVwrKpngUPlewcO0JvJ8NVTp9BmnPvLokhXKsXJVIrfjY3xbJl49s+GQuwdG6Y3l+YXoX7AYCiYZ2A4R9ThRDMMvnrqFD2zyAD4QW/PWWX8bmyMk6kUP+jpKbn+WpCRtFoJ9qd4PNLL6URi3jKG/X7cg2PoklgIqarrPHR0H/2pFN88cYI+n7/kGZezrZ4Lh+nPTJ3CqZLEmVGRX54Z4+nOPrricX4W7CW+pZ2ws6AAi4ZBIBLhPw4eZCCZ5KtP7UPTDWqazQRiMWqiUerDIe7d0cmxYIwnTg7w264gY6KNnCBN5vZ4/PQwz3b20hUM88jevRdUj7O1VXcsxpPBLlJ+N7krp2z0NcPgv0a7GVKy/Ndod1kZD4f66c2l2ZkMszdZujDdk4ywMxmeNgeLaXCkePTkLkL5JI8OHUA3xne6dYP+iA0cJn7be/KCZFzsejwVG8UjF0elmo+MbaePTc6PR5OlStXlnuffGRjA1uZCMAz08aMKzTD4xsmTDIRj/MtTh9DKnBh9a/sJjgVjbDs5yO9OD5dcf/L0MNtODnIsGONb20+UXNd0g889dZAzkSSfe+rgOcnoFx1kBJkXf7eP728v7etzZbpol2UD0aSNGq+M1ynisAp0j2r0jKo0BCQaAhIrmjfTF/TSM3I1sqRT12wimTEj2DyMjRhk8mYaXf04vSsuuGwVKlR47VBRVl5C/ujt7+To0aPcUl3Nz3/9a5588klyuRwPfv3rvMnrxT4e/en1jVU0NDtYbs+zTkzQEArhzudZN57JdZ3XizTj3P/rp07jNhV2N+2SxDJnafz/ZU4XtvHd+QWtrQgGuEbCgIGo60iCMKcMgE3jpjdzyZiox6YyZjqvZhkpq5XdopcRvx9LIsXa6upzk2EAhoEuifTEwa5pkzKWWl1EgzkUSUIbr4/+ErSVe9qiVNR16sMhGmPypIyVZg+JUwm0lbXEN7eXyFgZCCCLAjV6msHxnAsWRWGNpWCeaJNlGurq8G4/w1Bnmj19JrpFNxtqXdjGQ3Jf6Sl1ArrYfd7sq8UeSWB5YWpxKQkCy2wF2cts7rIyVtk9AFhFkXaro+T6AqsD67ifxsR3J0jW+BjKuGh1FNql1VGFOB6kAZMINQ5qa1Tq/IXcAhZJpsVR2hZzybgU9aiWzbgk02Qdsm7HOcqQaPcHSq5f7nm+YVU7liPDDFRVT542T5ex1uvlSJfA4VMGo8KUeeJVrYV57jDLrKz1ltaz1juZ5X7iu0X1EAU2NxX6fHNTFVKZiI4zZaSROCV5WLjAQsdCCysXLeQfry+fe+ZcMI71klcLGktLtUwibSaa3kUibXC8X8VkehpZgt6gyt4zL2A1Q16RaK55mthojtGQFcMAk0nnDVfGiaesGDY/p06duuCyVahQ4bVDJc/KywBN0/jwX/wZZwaGUBSFj6VTNNlsRBWFuKLQMkuIR0XX6UlnaLXbMM1wTP3oocN8bdVKetNp3CYTXlP5+Ps9JjNhQ6fe5SZxZBhdEnEur6VxfNdxLhkTnE3GhdTjlSpDFkUGq6qIHw9iXVmPM5MhEIvRPw8Ze0fzXN3kJGW1ciomoDisGLLE+lyIuMnEM1GVGreHQN8IoSWtqFYzaxOjnE5KYBhU5UYvW1t9/sQJ/t/KlWeVoUhSQQEef91MyHDV1OBYVU21nqHrVB7fYheWHb1FMjwm06QniwEM+/04F3nQnuu8bH3uDVTRFdGxh4v9wBRDZyifpd5sxSSUlzGUz+CU5MkF/EwSmkJSU6mfkXzxSMtShKEkqq4RyicJmJ3I4pSvhGE30exI0OusIxSNsCQXoS5W3t9sNhmXoh6/j42yqLaeloULuSIfJmW1ocgy4cOD85JhM1toXNWIYBgMhlRavALV4xnsX6p5njGbseXzs8pIWyxEnU6qOhzYDYVwOIzXasJvK5+hO5zJEcsqtPvKhxvOazpd4QTtfhdmqXw9uiJJHFYLAZuJM5KHzR0XP46aYcCplkWsaCm01clBhXByLw2BGPHkNcgyBGP7UXWJOu8qljaZiCR1jvbvQQA6GoN0R9tIx7JU1cqER/NsWJfgVy+8lXf98fsuenkrnB8vtzwrFV5bzCfPSkVZeRnx3X/4exbs3k3tRcil8LcHD/H1lSsQ5xldZ7fgwZTN42t20Tw6+tKHD32Fk7RaORPWUexW1hE/p/Yc8fnoTUCTW2AgquPpHyXrtJOqLewKe6usjGYFFqkJBiMa65laQO8x3KwT4gz7/EiGTnU0ekn78u8OHy6rrJwLuiAQdTrxJRLzKmvCZsORzSJeaMijc2TY5ydxpNSs51KRdTs4LdcizOF7UNMmYIgirqExkjU+fF2DSNpL66T+/ZHTvKmqiUXrFlAfCiHpOgmbjZMpGddwqenVbEwkuq2ORicVhQl0QUAH0lYb7sylDwiSM5mwKMpZv6eKIlmzmVGfj01NU2WOCybcxtnvPxdCgoVTgXrckSibFhQO2y4F3VkLvg1tVHsKinI2b7Dz5F5yioxJWoLFfJCtSzZNft8wDE70qyCAID6PqovYzAq1zRaOHJa55b1PcODAAZqami5NgSucMxVlpcJLSSUp5CuMP/vyV+h6w2ZCjlIzi3NFOceoOhuMGEudKo3BYEVRuQgkbXZqGp0sdGgYgkDY5WLY5x//8zHs86OKYtlQvtWRCIYoMjyaw9M/ii6KeBf6WKtGuUKJ4EsmeX2wF6FMT60XCoqRO5MmbzKxR/Aw7POTtF6a8LYXQ18QDQP/PBUVAFcmc9EUlYymMZjJ0plMciAWY080yp5olMPxOJ3JJL3p9GQQgUuZx6Uc1ngKHHNnJB/tNhjth3TAQ9Wpfo4tX03O9dIm24urKoJhsLc7yLOqyp5olM6hIWLE6c2liaj5sv4kM8k7bfgSiRJFZQLRMC6LogLMS1GBQghvZzaLPZtjTJjKJGM2NAbFi9svfiPHhrEeqhqsl0xRAWiz5ojs7iaRKfymWExgkjXqfctZ3mxiaeMGcopBX+gxOoeeAgq+LmZZwOR2IYs6NrNC9ymdgZEcGzduZB57pBVew3z7299m9erVuN1u3G43W7du5ZFHHin73b/4i79AEAS+8Y1vXN5CVrisVJJCvowQBIE//cyXuP/++zH/7Ke4Mpnzfla91cpQLkejbf6L1Pn+IFc4O5Ku0Z0UEVWJdN7MU4cPIKj65IK8ymJj0+Kl1FeZqA+Hi+4VgXVqhP0mF4dTMQ5nYlgOjiEaOtFcIQysIQiY9QFu8zUwsKQaXyKBfVquHUc2S8zuwDMQJDEAQzU+6mr82LNZ3Ol0kWKQk2WeDIV4IZyijnyJIuAyydzZ3Fy2nud6CBhTFB7o7y9RcnxmE398GXZaDcOgP5PlTDpFXyZDvEy0pnJYJRFbOIJZF2k3ZjeFmovRfJanYqPneE8aITl3VCfDaaYtpnCLLcDKQ/vPuVwXA9XQ6cul6c2l6c2leFJNEAjFyJlNCAY4MxmSmSz5eMFxXhIEqkwWWix2mi32SbMw1WxCUlSS1V5UqwVnJlwiK2m10d+bZGnNlEncrkiEXZFo2bJdW13FUlepf8p8eSo4xrEZ0cfe09yEexYzMoC6SJhTR5z8Z/g0AgZxwUwyqrG5xco7V7XNW/bTZ4bZPVh8GtXicfD2la0IgoCEgTw+B1OaiEM6t00qwzD40Qsn6Q4W129LRy03rJyajy2WHANRHZdNRBAEmgPrCCV3cLjPTq0vgSxsZUnjjZPfr/WJdA7uQU5oeGs8DIdNNFfHyOZ9ZDIROjs7aR5/p+i6Pm8LgAqvDZqamrjnnnvo6OgA4L777uO2225j3759rFgxFZzhf/7nf9ixYwcNDQ0vVVErXCYqb4iXGYIg8O53v5ujbf7zTqAH0Ga38eO+C48GU2H+7NOm7M+rYzGWmrNIqoprNIIwwzRH0HVcwyHCZ6IMBgIM+gPsFr3E7XYMQBNFGn2FxZhgQDKlkg5nscbTmJMZLIk0QirDUCxC+uAgw34/Iz4fe3Az7PMzGAgQPT210HOORkgcHqZ/MMs+3UXQM+VoLeTzHM3nsSTSjBhm8rJM2mJBE0USNhuKJF3QWJzOsUSi7GlMJK8wlL10CRcNw+BoIsED/QP8aniYI/HEvBUVgKymE45FOZBL8tvwEI9FhjmTTaJf6h3i+TxfFDAQONa0mCN1iy5teWagGwbH03F+HR5kZyLMcD6LDpjSOVRZwpXO4BzfdInoU8qFZhiM5LPsSoT5TXiQw0qaaH0A8+pGbKsbsLUH6LApZU/bHNlMkaJyNnZFoqgvQf6WqliUsGBBQ0BDwOE9973B17XVELAX+730xlLsGyrMbQMQxmfnkz3l/WPmYteZYImiUu2ycc2y4sWfKEBOmRqLTVUyZmkTq9uHqPYkSWYMDvc9O3liEnBJGIaAKBrk4wmsnoK1wJ4jOb73ve+xZEkhqt69997Ltm3bzrncFV7d3Hrrrdxyyy0sXryYxYsX84UvfAGn08n27dsnvzMwMMCHPvQhfvzjH2OaY+OgwquDysnKyxBJknjLP3+Dx+/4Y1aoKp86epSoorLS5UIHbm+op85qLblvOJvlF4NDLHc6+NnAIJ9csrjouqrr/HzcJvBtDQ3IZXaztofD7I3GzipjndfDFn9p6NzXsowrpOJwq6lIhKeDQVqqqrHITuJZA0HXMUQBtamGfBieHOiCgS5u9NbhEQS6PU48C2oRDANFljmdT3I4HWOBrmIuk7viUCrGrkSYZb+PstrhxQ0kxs0+TRQWhY9FC34WN3rrMKezmNNZRlJ21FY/FkXh+8d72B8aplUzYU+kCTusSPk8MasZIaUSs1r4yvAIr7eYaevowKyqVMViaIJAWDCTkiR+NR5Kdq622hOJYgggllmCJlWVr506zVsb6i96n4fyeZ4MBulOpTmWSFBvtdJU5sRRH1dooJCnSJx5bGTAaDZNNB1ngdVBRM1zNB1ntcNDi6WwGAspOZ6IjrDM7ma1w1sqA4PT47lOFlqdZdtiRMkSVHIssDrKHl1lNYWhTASP2Y7f7IREjlCtnzeoIfobGsmFJH43WtiouNFbVzYq1sFUlGPpONd7awmYShe5Z6uHZhj8MjzAmWyKBrO1pB6ipnMqmiaXibPM5cIpy8g5BVuVjcxYQXlJ6ypnsimqTBY0i4P00AmuNLfSrCh019ahaRoP9hfqMdHnaYuFrNmMf7yfJvp8oaO8iVVSVdkViSAA72kpPR2cz7g6kUywKxKZrMdMZnuXiIZBTpAIGlZ6jnWjSjK1GzrQgDOSh0VabPK7z3aPsKN/jDtWt9PgnqqLLIrcvKiRf9/VyYHhCE1uOy1eB892j9Lmc+K3WQj3ZxipcXNw/17W1iyixi5iFY3xfgLNEDCLpUpvKJnld0eLc96IosCb17Uil3Hqr+8+zcmTJhZdtxAAv1MknrbgtueQ5V0c761leePUkA241tI52Eljk0GzqRA04+ApuMlsnvRXUVWVm266qURWhcuPrkM4Zr4kz85kJTRNIz4jUbXFYsFimVvJ1jSN//7v/yaVSrF169bxsurceeed/P3f/33RSUuFVy8VZeVlSiAQYMG/fJ7Ex/+RtKbz4QXtvG3XbgB+1NfHL7dsZm8sxqFYnKFcYUd6ZzhCdNy+/s/bWksWfT8fHOSLnScn//+uGWY3w9ksf3ngIJphsCMS4b7160rK9Y9HjrIvFkMSBB7ZuqVEEajIKJUhnjzFHU1NNMgyhlg4KakfG+NZi4XvjZwBIO+wcZvZiy2WJL+vsJgNKTnuH+nGAEaVLNd6aktk/DYyyJiaRwzBdxZuKFl4PhYdnpQBcLOvHgBLIk24y0CrNfGjEwcwgCHZzLWeWsypwniSFBUDeH64j2A+y08Q+P9SZhxVAfKNAYZCKqZ0lvvCEb4z3laqKPKeGUfy09uqzmLhj+rrS+rxRDDIcC7H46OjbLty60Xrj5PJJE8Fx1ANY1KGEIvx7qYmnLKMJAhUW8zUWaw8Hw7x3LhJ3lKXkzcEAiRUlbF8npFcjmhe4YWRwuJ5oj9SmsrxTGJSWfn6YCfHMvFZ++N0Nsm+VHTy/yvsHuzTInylNJXfx4MYQEjNs6m2HeTiheOBSDdhJYWQhutqV2GTzNjyAqKmsezQQR4d7ef7Zfp8gpCS41/6jqADh9IxPt+6qqQ/zlaPn4/18bNQIfHiFQ4vi6zFZlZZp53tPSfQgaSm8YXlyxi0WBnsjTBoM8hmsmxPhBhT85CBdyesxCSJJ0+e4qbaGsyqwn+e6OVHJwt93qdb+PNlbUScTgTAn0gU9XmHw8H11aVhgCf6fG8sxusDflpn+APOZ1x9p6sbHRjIZsuO3bneJeZggjOjQZ4fH1f+vSIH3M2sbZ1SVAbjae742XNohsFzPaP8z7uvKXp+ncvGM10jHB8r+KP96YYOXBYTj3QO8ser21igx3n42BCf//Xv6cllaLPY2LxmBW9sV9hzBkR0Ni4szmpvGAa/3NuDMuPE93WL62jwlfeZdEg6oY5CmOxkRqd3TEWSbIxGXXgdGZY1tyNOD7NsQIM/hiQ6GQx5aKyKoaoK9dPasLGxsWIC9jJBw8KA8cZL8uyYkeXIkSN4pp3oA3zmM5/hs5/9bNl7Dh06xNatW8lmszidTh5++GGWL18OwJe//GVkWebDH/7wJSlvhZcfFWXlZcymTZv4uwULWdbdg3s8fKsB1FgsfPXUaVa6XPxBXS2LHQ5EUeR9e/ZO/mi+rWLD+bJEGN/gFDHwplOTn2uyhCEICPMw+zGLIvmLYNZiTmXoPhosMvESBJAFcTJAgwDTfFgMRK0QvjcVjjOR0UMZmEoSmLDbGfb50QUBVyY9p9+VIFwcB/3ZOJZI8PTYWFkZPrOJa6qqi8LP9k5z1q6xWFg97YdV1XX2x2L8uL//opnEATSYbWx2TeUUCSk5fjLWiwF4rDY2utoRTMXmagejPQVlBYG1vjY8JjtGjYMei0RrFeQzIRi5iIWcwUg+O3k6NB1Nlqi22qjSsly1oIPf9HaCYWCXJBY7nbRLEs9ftYmrjDTDO0/xXDwIFMbYxLjP6zq/Gh1loWovBBgYx5TO0jOax3qyj0RDFa3nUe7DiUSJsnKpsWdzRf+XDANPKsWY4KPGmL9PostS+lM9lEizq3+Mzc3VRLuGALj/8V184Ya1rFbH2HfGzUItTg6RroyfBfYpn8QXTo7QHy7uw3qvg9cvLlXGJggpMuOpu3DaRKwmEU3bgKlrEHlVI41VEiMRjRpvwa+lMSDRNaqRS6RprCqchC1dkOFHP/oRN910Ew0NDZM+CRVeegRRwOW5NEtCi1VkxYoVPPvss8Wfz3GqsmTJEvbv3080GuWhhx7ife97H8888wyZTIZ7772XvXv3IlyEyKkVXhlUlJWXOfd85zv83+uvp04S+fe1a9gXi3F7QwO1ZSb5V1au4BeDg1zh8ZQ1fZquwJRTZuqsVr69ZvWkjHJUZJy7jCUOJ8fLZOR+W0MDOgIxp4PlrcvJDQSLFmgBk4X3VrexOxkuSsTXYrFzKlN43hZXgL5cmtv8jWXNeW701pX99wQxTeWN7mrGlBztVge1JitJTUVhShl6o7sGQYClNneJDAF4k6duUgm7JmWbDO8bcjtQrQ7WWuELG9bzn6d72OAstHXGYqbd72cgmSSfV7ihpppjiQTLXa6L0h+96TTPzFBUbqippjOZ5E01Nby1oaHkh24uGbIossHn49/XruGpVApXRiKWTZcoQh9pWMyTsZGybQUF069y/54gYLLw6eYVHM/EeWNNM2MOE2SLlZV3tGxld/gMrY7qgqICNAkR7INRTixcyvXpNOZEIYhCuT6fLuO6Mqd1c9UjoSm8kBij3epAH1fbFlqdiILAstZ2NrdVc/zZ33OTkMY3Y36YNA3XUAjqbPhNFj7bspKfZIK49VyReVXCbGFf92mu89RMfnajqwbSuYJioxsgFvf5QoeDU8mpuTPBxLiqs1gZyGRJqCquabLmM64+2N7GznEzsHKc7V2yfNp9G7xePKkUMbEGs67hNfI0uO088I7XsbM/xB1r2svK+M5tW/ne7pOE0jlclin7/Bd6g7T7XNy5dioB5J1rFyBj0DFuZmZHI92f4OdxhbdtcDEaz/D7E0NFz5clkdvWtRafjMwgurCdZTWFtsvkDPLabmRxPS5ZI5U16Huhu5AAcksbfpeA0ybitG7FJD+PSda55a59nOxWue46P+9+97sBsNpM5PN5zOZLY35U4eWDJEm43aVJa2fDbDZPKrMbNmxg165d3HvvvSxbtozR0VFaWlomv6tpGh/72Mf4xje+QXd398UueoWXAZU8K68A9u7dy5l//ixLyix4K7z8iSsKP5oR7KDRZuW2+npUUWSnsxZR0QicLg2IcDgV40g6VvTZGz01vJgYKzpdeb2nmoZZEv7Nhm4Y/Do8SEbXJj/b6q7iUCpKUptaIDskmT/0l1fIvjpwnI81Lp1VRrLGR02tlZ0HujgcDpLzOKgSFEKqxM2Si/5cmmNqGpvPhkXJY1I13tXUiP8CFi9pVeWnA4NkNK3oc6cs8Qd1dQQucGFkAPsMF/neQXYmw0iCUFYpmEm5aGBtVkfRycpMOUfalyGMphHyWtnvABhmCWOBjxWH9nO0aQlLh09xvGYhKwY7z6VaZ8UwDJ6MjRBSiqOTiYLAVe4qllzRTl0kXDb3zk6Tn01KwRRqj+HGNTRG1uNEtVsIZEZ4dGQUdfynaAgzlkSGgMnCdZ6aEqUyURdAMIwiH7Fy0cAWOhycThUrMEtdTq4tYy42F+cTDQzmnvcAIZebwDIXVcb8A0vs6h/jme7iY7Nqh5X3rFlQNtP9dPobGlhqS3Hfs8cZnpE89IaVTWzpKK+4TnAsZWPNjQVlyjAMnjmyj0X1a3DZBM4Mq2gnB3GubGRxg1zUZwMhjbbXfxy73c5TD1zBSNrHkZ6r+Mu//Eu++o1P0Ny0hLve/9fzboMKF58XX3yR29/2Bzy3555L8vxv/+sjjPQ5LyjPynXXXUdzczNf/epXGRoqVrbf9KY3ceedd/Inf/Ink8EbKrxyqORZeZWwbt06In94K0PjPiiVCPWvHmRdZ00+gjWaOPuXx5EEgRZLsUNxV7Z0V/lsDOUzRYqKRRRpPEeF52w4RyOkDw3RF4sgGAbmeIpoWsefyVNtstBudSApGtlwmnAGBkUr+3O5sz94Dp4Ph0sUFVkU+MOLoKhAIVKboBsETBZu8NbSainv3H2hCMCKrmMYtQ6Majut7vJjpL5GYemJwwjA0uFTiKp20RUVKPjbzFRUADY4fdRZ7WRnWbwbQLNravFqSCLR1jqqWlw0+mRa7XY2NTaQM5kYwoKkFPoupOTKmpthGKyRzz7eV7hduEzFxgMnkklCs+RtudzkTTJu49zKsqExQJO72JQtmMryfG/5kNgaAiGhcDJWNTjCfzw9zKEzxeOoJeBi88KacrcX4ZVV+sYKmxiCINDgW0Xv2B4yeYOVrTLrbmxlSaOpRLlsDEh89u4/4vTTm2lpMNPR7uboocfQNI1INMj77vzgvOtf4bXBJz7xCZ599lm6u7s5dOgQn/zkJ3n66ad597vfTSAQYOXKlUV/JpOJurq6iqLyKqairLxCuPnmm4llcyQ3txHbsoC47aVN/Fbh3MmbZFI2KymblR59ylwkZndgD8XmuLOUBTNMiAbzGXL67Lvv5ejKFS/4WiyOspGjLpQxJUdcLdjLi7qBnFNoMxcWXF7ZjFc2Iao6pmweayzF9pE4O0UPQz4fz9S201tdjTbPco3lcpxKlS5kt/r9F3RaAxByuzGA/bgxx5KkqrzIgsgS2/xNG84VAVh55iiLw91oZhNGmd3zIdWFnC8sIiVVuyRJXTXD4Gg6XvJ5rdlKu9VJqsaHJ1X+5FcA6sNTuUKWmrOs06I0hELURiPkZRnVUo1Vs2BJpJGzUwv4o5l4UQJJTZaQF9WSslrRzzImJEFgs89X9JlhwPZwZJY7Li/ORW7MnJvvmSAI3LS4AfOMaF27B0IMxEsTZEoYBIyC8h9NJDnYN4zbN6VUmmWJN69rLVEwkppIVi/+rN6iENvXO/n/jnqZWMrKoZ7DjEYNnj++p2yZe4Mq77ptagMir4o8v72HH/7wh1yxbCWSNP8w1BVeG4yMjHDnnXeyZMkSrrvuOnbs2MG2bdu44YYbXuqiVXiJqCgrrxCampr4ZiyGfmiUDi2GY5Wf/qqqc/ypq/BSocgS4ZxANpgmG0yDYbBPdaALhTz057rA9I0v8ifQDYOe3PyzeWd1jaF8sfnJdL+Yi8mZMrvjbdNktc9QvPRUhuSZXkI9CZzDIUL9SQ6qDnYLXmL2uZX0Q/F4iR+J32xi1TnYSs9GT1hjMBDAFokjZ/NosoRmujxuf6ZsHudoGKPdi1HvxHCZMQCjzklHpO+Sy+/LpYtO4aAQIGG9s6AM1FVb8I0ricJZRrMzm0WeZsIYdrlxDwTZIjlKIjVnNI2+aeNaUjUW9fdxJmKwy1zefG46ixwOqizFSmpPOs1g5tLl9Jkv56tUeq1mrm4vNjvUDYNHOgdKontNoOo6204O4tBzZPSpn/0bVjbhc5T6VkmApgso0x6nG4V8KxOIooDbnmNF6xB7T+dx2nIMhIrHSOeAwplhFfQ3TJUlkWRRW56vfOUrbNxy6znUvMJrhe9///t0d3eTy+UYHR3liSeemFNR6e7u5u677758Baxw2akoK68gFngdLFhRMNOpNTIsaDE4tMAzGbmpHL3pNJE5zB4i+Ty96dkXuYqucyqZqsg4TxkZs5kTzc2MiDYcTpms10zaJGKJp6ivtrBX9HB62ilLXFUYys8eJUjDYDCfQTH0kkX+hFIwlM9MnmSUI64q7EmGixIa+mQzPtk8KSOmKWhzGBxOyJjtGxP1UMYzm0+nymTBIor05tIohk6LxV6ySO3OJAmHQ9A3REuVifoqM4FaK71Bhd2iF00QSvpD0XVOTjtV0Q2DcD7PEmepI/sE8+1zVRSpr7HQH9dRzSacqxtYZUojrKijW8uhGLOPq/n0x1x9rhg6vbk0mqoiZFWWDp4Ei0xzVZalw6ewJNMXTcZs9ejKpUhoStHpXa3JiksqKMxDIeWC5qAAOCUZqyCVnBBOPwGMqwq7OoPossQqSs3iJvp8YmwLgsBWX3EI95ii8GSwvNkUnH2e64ZBVyp91ndJVJm9PyL5PCf2Dsx6Pa/pnAjGyM+ifKyu8+E0m8goU20Vzeb5/TR/llA6R1ek8E54vifIWDqLddqs7qj1sK6tquzzbZKOQ9YxiZDWRM60LuJY2ob3iuI4bDXuKzDJOqsXPkc2J5PKTpVX1QwGIwdp8EuT/aHroMhePv2xRaxcuZJly0vDZleoUKHCTCrRwF5B3NlY3F3v/env2dk3ygavlx+su6Lk+z8bGODzJzqxSxL/vXEjzfZif4S+dIa379pFWtP41JLFvKOxseQZf7H/ALuj0YqM85RhyedpHh2lQU1xLBTj2VAYWRD4k+XLSRwZxgM4zIV+Hc5n+Fj3frK6zp/XLuBNvtIwor+PjfJQqJ8VNjefbF7OwVR00kwmpir8YqyPH4/1YhVFvtq2lroZPijTZaxzeOkYz48x/VTl0cgQw0qOatnMNWWiRT0aGeK7I2ewiiIrbR6yuop1WsLK6TJu9zciC8V7Im1WB//Se4QjmTgrbG4+17qKerONwdzUYvrZeJBvDHUW6qGvJeD2ImoaVkXFEk/zqM/G53ZsL+qPgWwWVZ9Sn341PMzQuFnYD8vkwTmXPv+r9etY4W/CFxpAXtmILRJBMgw+te0JTkRDk/WYq60+0bis5HpUzfOXZ3bP2edFbTXeliuGpnxSpss4W5/PS8aMeuR1nRfjY+xJRZCAN3nrcEqmSVNEXRQRTBlufqbQH1UmEz/o6cFvMhMwmwiYLdRYzPzdocPsjcdnnYOPRoa4L9hdJAMKZoSKrhNSc5P1eJ+ooLV1sNxsYJ+mbE70eb3FwlsbC0Ehmu02mmw2+jMZjiTik3Nwgd3BVVXFpzPzmee/Gh7muz09Z32X2ESRt9TXlzjiT5fxJeMK3nfFwpJn/PFPf8+LfWNsba7ioTuuLrn+X/tO87mnDmKSRO5c047XVtho2D8UoSPgwjDghh8+QSqv8vE3rEDRCvMih4RZMLCZZf5wbUvJc2eS1QUG2xayqE4m7WvF4yiey6HkHjwuSGfNBDPVuKwGum7w3LG9XLVsHYIAnYOdOG05fG7oC/pQ1CT/9NUubrj5zyqhZytUqDAvKicrryDG6qacxzTdYHd/YXdwbzRaZNc9wc5IwTY7rWkcS5buQh5LJkiPOyJPfHc6mmGwNxqtyLgAGSJgz+UQdYOBcdMT1TAYyk6ZoRjjSQHPZFNkx3drD6VLfVh0DIJqYWF2LBNHFsSSCGB7UoWyZXW9rNP9dBmjSsGOfLrDvmYYjIx/HlTzk+FppzNRtqyukzd0UmpxaN3pMvZPS4A4IavBZONYJj5ZD80waLMUm6CNKNmiepiyOSRlSk6EVEl/DEzL6WJgMDTuqL8/FrvgPt/VN0ztoVNYkhmEnWcY7knQHQjQGQ0V1WOuturLlZ5sDOezc/a5ZhglbTWXjLP1+fnIGFNzk/2hARFVQRCgzmxFNcvEm2oYHRiYbCtJEFg0ns/kZCrFtpER/vX0GfaOZ6/eHY3yd4cP87FDhb8vvvA8Xxk5xUOh/kkZ+1JRjmfi9ORSDOcznMjEOZVOTNajc2QQT/8ox3JTp5LT+3wolyuqx1a/D0GgaA4+GhwtOl2Es8/z6TLO9i7J6DrBMqd202X85liQpGAiLkwpNJpusKN/DIAd/WNoeqmM53sKOWoUTWc0Ne1dgsG2zkH2DoZJjfsx/ep4P8b4PM4JEnZJ4+bVzbhsZ/fhGmzroL1OxiQLJYoKQK13PZm8CUEwqK9KE4zrDIQ1tiy+giM9CgvqQmxZ1sPylmESaQs5RcIk6/y/z11VCVdcoUKFeVM5WXkFsfHN7yDzo3uwmSQkUeCfrlnNf+0/wx9esRzJKN2huqu1la5UmmabjdcHSu27Xx8IcG1VFX2ZDHe1lqZZkwSBj3V08LPBAd7R0FjW+boiY/4yrvB6iCoKTrOZKmHK98I0njhuvdPHJqefYSXL7YGmkvtFBNbYPQwpWW7x1SMJAu1WR5GZ1QKrk5SmUm+2sc7pK3nGeqePRVYnI0qWZeOO4Y1mG5ZxhUkSBDY6/RxNxwr5M8pY1t8eaGIgn6HOZKVKNpPQNQIzZGxy+hnIZ0pyiTSabdgkiffWtPFYdJgbvXUFBcZsK0p2uczmJqWpdFidJfVQ7BY2Nni5sqGB4WRysj/Gpi0MBQSu9Pk4lU7xvuaWC+7zv21vwtNUS/zICKKuI2bz6AcGeN+MeszVVisdbp6Ph4quL7Q52aTM3ueSIJS01VwyZuvzucbV2WRE1DzLbG7imoJTlKk3F8y/TIKIruo0u2DleFudSCTYGvDz+qpS86JFTufk/Lizpbno2kCgisO7Ovnm0EkM3WCRzUXe0MnoKqOKyq8jg0gI+CQTWUMjpal8I9GNHD3NA5pGRMkTySvUms1EFYUmm41DsULG93qLhWqLhYUOx+QcdMsyVWYzxxIJVkzzZzrbPJ8YV33ZDO9qbJpzXNVZLLTaS6PrTZfx13X1RAQLjfqUX9f0d/t715YPSfzXW5ZwKpyg1evgxkUNdEem7k/kFWqdVm5a1MCRkShr66fM4HQEVjT6WNHkL3lmOSQJ8oqBzSyg6wbhpI7HLmKSC2WKpneg6w6yohe3U2FM6SSeWorNLDAQ0hiKvAFdN9iw5CniaSueKgvdA06apGFyFxj1r0KFCq8dKnlWXkEYhsGPP3Ab19UUO0QeOm1QHw6/RKWqcDZm5lsYkGzUyBZuEc7u0F4uz8q13lqqxxP1GYbBryLFOUW2uAK0zuIsrxo6vwwPFtnbv9FTXWQ69Jvw4LzzrPw02MtKu4cVDk/Jtf2pCCfSxScWc+WD2ZMMTya7nOAaTw015tJEexPE66tYLxR27O/r7SWlFvs7XF9TzeI5fFbOhWGffzLh5flwrnlWXi68GB+jd4bf0fRyu1bUURcpvH8eHRllLJ/n3c2lStFcpCwWTkcMbNEkOxIhumecELVaHWyZ0U6J+gDrhML42hWJsDMcIaVpxBSFhKrSbLeR0XQSqopuGKiGTm86U3RWKIsia9xuGm1Wmmw2Wsb/7NMSR16qPCsAqiiib2yiQT/30OMTpBWVN/zHo4wks1hlkfevW4hFltjQEGD3QIhEXuHwSJQFPheepio+f+sK7Jb57VOeylhZdl0ht8qhbgWH/VkSqddjkgXyisEVC83sPLmdnvwGQmNRfvjv3+Odf9DCqqV/wJrFzxNJ2ghGrqSx+lkOd9dhBJbT5jpMIiXz//2gnx8/+Mh517vCxeOVkGelwquX+eRZqZysvIIQBIEb7/kez/2f97Olyj5p7yucVd2s8HKiUctQ5ZDJ2J3YoheW6FMQBNotjqKwsl251KzKSl+u2DHYLknUmmZXBspxxNHKilQPADZRIqmrJd/RDKNowWkIYBMk6uaQ1WZxlCgrXbnUnMoKosCJIYVFtfKkac10bOLFC4uqiSKuFXUXpLDMZDCf4dHI0Nm/eBau9dRiEi+NVe/MKGAw1a6KzYJlWu6VqJInYJ57EV8ORy6HYndjiyaxlumztFY8xhSbBV0Ui5JOCYKAU5Zxjisab2mop35GRvlnQyEOxabmim4YtDnseGSZ/myWQ7E4wXwORTcmgz6M5nLEx00QJUHAKUt4ZJllLicLHA68F2DOJOo6pbNn/nxr+3G+8uxRfDYTf3vlUn57YoBv7ejEJAoouoEojEfxAk6MJbAPjPG1t62Z9/M9kkr/WMEpP+B9CotJw259kmCuEU1Jsf/MenLZND/6zr+y90iU2/9oHR/73O9pbunjF/95Dc8/c4BFq/z4ciaSeYFP/s29VLnSCIKdo50R/uM//oM/+7M/u4AWqFChwmuBirLyCqOmpoY3//sv+fGn7+Z6fZiTnSqWOaLSVHh5Imk6is16wcoKFHa5j2WmQvaOKllSmopDKp3eM30a2iyOc3ZynVBUAOySTEYrXW4N5TPkxselZpIIVVVzVTzNsZZldER7sSRKoy0FTBZcsonEtKhWfbk0Vzh8mGdZiDuHQ3iW1ZIfC5aELAYwnSWr97nQGBpjyO9HsZoxZS9OYsG8rk+avl0Il3K/Il8mQphp3NHfEMWizZKIotBuP78Q2PV+E6lBMAulfT2zDOp4zhldFxDPbhwwyXqvlxOJ5GSbi4LAcDbHtc3VvH6WfB/TT1byuk5EySOJAi9GIvxiaIisrk+OPUFg8t9WUWQ0n8MrmwiYzbjk0vkYdblo0s/dHGpb5wB/9audaLrO03/6Jtp9TradLOxK3rKkNCgAQEddFUOoLP77B6l2Wfnr61eyv3eMt21qZ9OC8tnrU4vb6QhIHO1TqPFrZPMyEa2O02dGeeCnJ+jpe5x4UuF979rMR/5MxOxt56/fbufg8SBve9+vWbmkiv98aBt5w8ZA/wh/8d6N3HptgN7BDGuv8PCdnxw857pXqFDhtUdFWXkFIssy7/3iN/nB3/0FHcYIvuSFL3grXD6CWUhWe1kWSWAAqRoftnAcSS3dwZ4PLslElWwhOO4YbxjQnUuxwl5smpXQFMbUqYWRIJTmODlX7KJERC1duE/PrSKqGnY9j69jAemRJNlaJ4YgTCY4tMaSkwveNoudQ+qU2ZtmGPTmUnTYXGXli5rOUDCHNMtuvuU8ThtC+Tw/7Z8lrOyZLhJ2G7lwGnFaWNlqk4VrveUXfC8nDCDjd1PV6CB9aH4nOuWcyE3jCm7G68Q97VQvrqj4z+NkBWAorGDyuVAcEnoujqhOte9MR3hbLIlgGCRq7HjS8zehsksSaz1udkaik5/ldZ090WhZv6WZmEWRWouVW2pr5zQD03WdrnSa/+juIaIo9GezZDQNmyTx+7Epv6Wc2URrj5UFPieLq9ysqvVS5Zj7pPPXx/v4y1/u5Gs3r+ftq9omP7+mvZa+aIpYrnQ+eixmXveGFbQ4NN6/tZWf7TzDU8cG2LSwhn/6+R5yqsZTn5jKeaLoAj05C2ZBQBAgmTEIaCJhtY4VHVG2XL+Nz39yLZ/+2zVk8zKKJtHRGEQSuxhTGmhrc/KTb3eQTK9Blo8yKqzCFN2FpelKarz78HkM7HaZt771rWdt8wqvPb797W/z7W9/m+7ubgBWrFjBP/3TP3HzzTejKAqf+tSn+O1vf8uZM2fweDxcf/313HPPPTQ0lDdXrvDKp6KsvEzRdR1xjoWWIAjc8fl7+bd//DA3Hk2e0+7i2Rj1evHH40WJ2ypcPKqtUJcKk6vuIOt1stKcIbisZt6Lx3IssDonlRUonKAst7mLTk26sqmi04dqkxVnmdOXc8EpSQzmC0qWIRRMEtOayrAyFaFIMCBgiKSDdgSgf9gMbhdM3NfewvKe44iaTqvFweF0rKicXXMoKwDO0QiJRX7yJhmzciFGNfPDlc4gBmwk40rZE5aMz4VzgZ/8wYGiCGYvNWm/m6pGJ82JOHoyyVBjNZKiYk5lMadmz8EyE0MA1Wom7XfT7jIQ41OdFVcVqs7TLKrDoSHaRJIJOCyIMC3lrQHoooA4HhlLFwVyLjueMtHNzsYaj4fDiQTpaZsDR+MJ1rjdZ/VDmS+iKFJtsdBitzM9QPBMn5Uhtwe5VuX0aIiDwxF+dbyfZL40P4tVllngd6LqOv+2/QT7P/QHBOzFSo1FlnjTogZ+dri75P6rFrfgMItYRZVGv5OP3LR68tqfXb2Mrz1ygM2f+QU7/vl2ACKqRNOVbbjtIod7n8Vt34IgFEzjjpzycsVqL396RwPdQ25M2lIM9rG38xpa63YSS+XQ1PXY/Z0s9D3HruNX0lS9F+ciJw7jSWIhG7LTSzIeYsOGDRfW0BVelTQ1NXHPPffQ0dEBwH333cdtt93Gvn37aGpqYu/evXz6059mzZo1RCIR7r77bt785jeze/ful7jkFS4VFWXlZYooiqiqiiRJs5rp2Gw2Pvr17/DNv3k/154Y4OlgkK+dPs1Vfj//uGhRyX3D2Sz/eOQoAF9ZuYJaS7GjvmEYfPnkSZ6Ox/nQ4sX8YZms309dJBnPh8N8dOFCrqmuftXL2Oj1ji/gpmTogsiIoHHf4Z3ImsYH2tcw03jDMAx+GxnkSDrGGoeXRnNp9vadiRD3B7tZbffil82o46v8lKYyquSQBYGvD3ZiGAarHJ6i7OLtFgeGYfCD0S72pyLcWd3GpjLO3j25FH9zZg9rHT7uqmkvaiunKBNWcnyq5xAG8NGGxQwr2SJlw8Cgs7+P32pneFP1Kpa6G0EUELLjC/m+OL8Xczx08iBrHT4WWByTYZUBwkqerkyS7492AfCRhsUETMX9Ee2O8kJwjKFkkq1+H23jpkj5aQWZb58rus4VXk8ZMzqD50Jh+jIZFlfV0aaVbibsTIT4Uf8BlvbVcOeC5bhGi8PfpnWV7YnCzvoWV4Dldk+Rg/18+mOiz8v1B0BIyfH1wc6itsq6HcSaa1kT7Ckaux9etIhNLS2cSjkQDAM5m8cWSRTJaJjhZ6RazPS5LDzQuQvzEaVofmR1Hbcsn9cc9Iwn9FQ0FQyjqK1u9NYhjCsq9lUNiIZORzjMPZ2dPB8Oc2tt+VOtcn1uEkU2er08MxYiqao8ESyEAfabTbx9Rl4VwzB4aHCAA7F40bg6m4zpTJfxnubiKGh18RhR1cFvj42ye2SEj75pA+/qKI2k9vMjPXzx6UO0eZ2c+NvbsJiKTdYG42n+6lc7AFhb58c5w4He7g3QaJnddPGjN6/hoV1dfOJnO/jiOzYz0txGo61Qj0X1r+PYwAsYhkA6K5NPprnz7S286R0v8vl//Bgeu4EkrMVmO8RAcDMuxwGyYi9CLIvD+UY2LxEYihg4CRJS64hYVxJIvMDBLjOr3nBxgl9UeHVx6623Fv3/C1/4At/+9rfZvn07H/jAB3j88ceLrn/zm99k06ZN9Pb20tJy9vxBFV55VPKsvIxJpVJn9SeQJIm3/p8vctTl4munT9OTzvBA/wBnymRg/sXgEPtiMfbFYvyiTNSFM+k0D/QPMBhP8N2jx8rKu1gyetIZvn76zGtCxs8Hh4jMyGZt0jXOdB/lyNgYByIRnu89XXJ/fz7DjmSYpK5xIFV+B/n+YDeD+SzbosPYZyyuu3IpnoiOcCwT53g2UeSEbxJFmiw2+vMZfhsZYjCf5f5gz8zHA7A7GWYwn+W3kSH6Z2RBd0gmTmWTBRmZOE9Eh0siOSU0lR2JMULpGI8FD9FcnaNFCGPUOTFsMgLwwKnjkzLKOcX/b3iAY5k4xzJxnoyNFF1TzSaydVaOR6PEVJUXw1MKwvQM4PPt88OJBD3pNFUWc9GfgcDhRIKYqnIsODy5eJ7O/cFuBpJJnuw/w1AyXnL9TDbFmJpnTM2XzYkyn/6Y6PPfRoboFjRUS+E0IONxooviZJ9Pbytfu5elSmEMTR+73zx5Ck8qxXrirBMSpKq8OFfWc1+4b1JGaoaDvZzNc2CglyNjY2XnhyiKFzQHzakUisNa1FYn1AwIAtHmWtzpFPXhMN2p1KSM/x4sfyo5m4xlLhdek4ljiQTDuRzDuRyPjIwyOiOc7pl0mt+HwiXjaj4yJpguY0+0+BkCEA6O8j+nT9OfTPK1x8rvDH/jhWMMJ7Ns7x+jJ1Y6bh442MXO/hA7+0McGiktp72hfAQ+KJh8JVSRn33oenQDrr/n1zhPdzMWL8yd00MqmaxALGVg08NsXJ/lRz8f4uMfeyNWy0E06ykQ9mCWNdYsMGGSdPyWIOsWbGBJk4nWGhlBAJOk0eTow6cfxuK2YzOrzCMYaYXLhKEbJGLqJfnLZXU0TSMejxf9zSd8taZpPPjgg6RSKbZu3Vr2O7FYDEEQ8Hq9F7lVKrxcqCgrL2M8ntJwsOVobm5mzAurx3cFG6xW6mecBACs83qQBAFJELiizLPrLRYaxqPnXOkvzdcAcJXfX5FxjjLqLJay5lbLa6oRERCBpbbSU6wqkwWPWFiI1s0SEWutoyC7WrawaoaPSn8uzSKbE5HCoqhq2mlEi8WOLIhUmSxUy5bxZ3nLypg40amWLUXPAHCJMg5JRqTwMqkz24rCHkPBL2ZCxnqHC1s4hqhpLB3spMmdxjBLdFQ1TcpY4fAgz1DSLaKEMC5jZltlAm5WKnnc4w7Mzbaphdn0SFbn0ufvaW7mHY2NRX9/0tI8GV1qtqhmE/0RsNnxOl0YM+pRPa39ZrblxGdn648JGVUWG8s6qqhp9xBpq6e+wUaspZaldvdkfzQ3t2Bf3YArlaZmPGnpXGN3a2qE+nCIN1QHJstbPaOcAtDhdV6yOZjRNHwmA7/dPilvdY0P58o61ulRXOPJP6fLWOkqNhPURQFNFGeVIQoCm/0+6q1WhHEZdRYL22coJPUWC/5x07Dp42o+9Zh8xjQZrbbS09Hp9Vg/ywnR1e11ADS57TS6S5+xualqsj/KXZ8LA8jqIhFLNe+/9Wpu27yET/zod5hlgXQ6z/+55wHe9ddPcu27nuc/HzrDT/93hJ17QwQWXc2yZSpGJonLupFq1zpqPBLrFmwhLfiIp6Y2CiThCnqDPlRNpNY6SDJj4g+vF3jsscfOqawVLh2qYdCTil2Sv2g+y5EjR/B4PEV/X/rSl2Ytz6FDh3A6nVgsFj74wQ/y8MMPs3z58pLvZbNZPv7xj3PHHXfgLmMNUuHVQSXPyiuAs/mvGIbBddddx1c3NXLi+S7aRbEoT8B0hsczp9dZyy+20qrKUC7HAru97KmOYRicSaept1gqMuYpwylJPDS+86uJIiNYqDZbucZTQ3rc2XamWdMEe5Jh9iQjuCV50oRrZp6V/nyGKpMFmyjxSGSI+LRoWhtcfmyCyOPRkaKQsNd7aydlZnSNMSVHk9mGIAgleVbsosRap29SxnR0XefrQ528v6aQi+FkNknPjBODre4A1SZrkYzJ+yWRo4tW0NF/imAoNCmjXK6N5XY3DWZbSVvZV9XTGArxs/4BTqaS+EwmJkzu1njcXDXuOH0x+rzL5ebIvjPsS0WKTOomHOwNw6BXzeIO+PEurkPf24NoGAiGMZlnJT0e6tkuymXzrMzsj5lM9LnX4aR1oZ9AIo4xXmNFkhjzeBhLpRANWJ7PlUnrWTp2J34EhGkyzqTTDFuqGe3qKcn1E2ir5i3jC/PpbfWxQ4f56qqVZWWUq0e5/niwf4BwPk/E5cJIJjArKtdWV7HBV6r0TMgI5XLsjhbKmDOZCKsiVzW2s8UrMRwO0yLLZfv8ocFBTicL42wi5PGtdXU0T0vmuG1khD3RaNG4mp5nZbZ6TM+zklQLfb7E5SzyWZlZD1NrK1e0GyV9ZhgGJ0MJGt12HObyY3cwXjjVeeBgV8m1P73jWhbYZt/F1nToau1gSZOJb9z7HE/vPsKvfvxBbv2L73HtG/z84bVe/vyTBzBJOVqaHbStuoZb/2g9vuzziKJBLhpH197AooZCm/x2z2FuWb+yRM7u0y/SVhuhZ8SHZEuwaMN/47xIeZAqnD8vvvgib779Zn78+/9zSZ7/4HeeIjvk5zvf+U7R5xaLBUsZBR8gn8/T29tLNBrloYce4nvf+x7PPPNMkcKiKApvf/vb6e3t5emnn64oK69QKnlWXiWcTZ8UBIFvfvObpH/wOZo9XuyZ9OTiZQJNEJAMY9ZF2AR2WWbhLAu5CVkLHXOHJq3IKJYRVxQMATIWC9GcgCWexGpSsGHHNouSMoFFkPBIszv9CoJAs2VqJ7Xd4uCAGp38f1c2SbPFXqSoeGRT0YLfJkpFzzibjOlMKNEBk4W8rtOfKzWDeXFG1vbpGIJAUM9wODhy1nxBYTXPqjKnDcGhDNQHMGk6vp5i06mR3PToZxehzyWJBruT/alo2euCINBqskE8Q/7YEJrLjqDr1Dfa6esKQ6ygpJRjwoF83v2h6nQlBfxMzXWTplEfDlO6HJ5Rj2ljN+RyY1nuJ9kZn0zuONFW1oANpW9q/OmSiKjpDEQyGCsbqZ8jEuH5zEFlPDQwgD2bxSQIiLJM1SwLmgkZ4XzhHk0UGdNlbPEkbnGM0+ZG6hsasM+SNHerz89ItngRvz0SpsnWMKlgWUQJn2n2oAHzGVfOOdphej2GNZ0cMlaKTe8EQWBx1dwLsYZzPFGBQuTAMaVQNp9TQtdBMlRMAScPP34QRdVYu7qNTHYlX/2UhYZWEz5XjkwuQTL9HG63wvZdDqwmD201U7845RSVCTRNIJXJcfcnhtm3r6KovFaQJOmclAmz2TzpYL9hwwZ27drFvffey7//+78DBUXlHe94B11dXfzud7+rKCqvcipmYK8ApFni/09nxYoV6O/4KAPjP9qnty5HFwSSVhv9VVUMbVl8qYtZYQ4GZDvJmIKoamV3ui8WrVYH0zexQ0q+JIt8+ywJI8+XCR2jN5cqG+Z2LgTDoGb07IoKwMh4/phJueMnAtJ49KRV+dKd47Fc/qLkMZnAl0yQ8cxvgWVOZbHFklgTaXqiBhmPk7zdWjYnSt5uxb6qgXB7A64VtZivaC7zrVJs0QRx+7kvUqHQb0GPB/8yF216oshkLS9J9FdVgSBQbbJOjqmsx0HG56JazJMZGSl55jmm7CmhP5OZDM5gURTE8cSG5cyryiHMGH/OkTDSHGOywWaldUb7BXN5TqbOP6P8hVAdjRASzy1J69nIIOOTi00zh/MmQssWE1JlurMWWL2Qer+ESRb46w9fzdhYjP/vJ7v44v95Hw2BGJL7GHWeLYyMWfn1nivZO3QVBnBo7PVE4ouQ7Hac1qnlxFB0W9myeGwbEEWDsbEEDz744EWtZ4VXN4ZhTPq4TCgqJ0+e5IknniAwj7DjFV7ZVJSVVwiGYaAopSEtp7N582Ze98MfchRY+OJRVElicN0ClrcLeM8j8ViFi4MuCLjMAnJewZzOnv2GC8AmStSbi23rp/ttiIJAq+XiKisTnCnjMH4xmcgfM0GiLoBtTSPVzS4aQyFaLRbkGUkgVcOg8yLmITKpKqptfgtngPoFhd0+OafQZNOpNmlI9aU+Ht6FPpqDQTbnxqiLRHCl0uQdNvL2uReuOZcDa/7cElQqkkTE6SSxuZ3mxVaqjSw6YF88tTNpCAUjt/TBQXDacVZXkXXbqTVyNGhpTKo2mShxOhfqL300UdpX9VYrlnls2ACIhkFAUieDDuScdhRJ5uTg7G20xe8rUbJ2RiLnrHhfDCTDYFS0czG3NASPFZ9pxkmNAYO7+hhTTFx1cyuNgan2PTmo8sVPb+aeTy1Dt53C5PYQT5gYju1gZMhgTdN+zBaRk91ujMHtSBIkkia6Rneg6Qb9YyoB55vKlsVuETlyGq5+63+zZMmSi1bHCq8uPvGJT/Dss8/S3d3NoUOH+OQnP8nTTz/Nu9/9blRV5W1vexu7d+/mxz/+MZqmMTw8zPDwMPlzfBdWeOVQUVZeIQiCgGkeOQAaGhp43X/dTzSfx6yqBPQsh3pEhP1DxOwOshcpj0CF+RPyeFBHSiNDXSra51BGGszWIpOwi4EARNR8SXJIsyjilU0X9CfOWEUWcsUUFpHWeBJHJjtpumQSRTrKmOMcjpcuqs+XEZ+PKr8ZY55ryaEzhX43ZXPIuoak62SSCqrFhC4XXr+qSWYgAblppkL+ZIKqVjfCmuZZZXmXVROot2PSzi2Z6LDfj2lFFQv0OE4KO+5DogP7rt7J71hUlUAsRrLWj7fDz5ucEg1GDpOqTZ6C9WUyxGdsoFzIyUpcUejLlJoRLnXOnmNnJookIWsamklGFyET8FAXDrGoYXYzroDZzJIZfhNxReVw/PLN2QnykoRs6OzuN5c9gTsf1HiOzIww22ldZNW1bay+ob3k+4ncXpY0jdJaE8WmhzkVX0cibWbJMp3XbUlgNevkshr5ZA5VE3FYT+I2R1i3YAsCcLj3GHmlfOn9ToGQ+BeVnfAKczIyMsKdd97JkiVLuO6669ixYwfbtm3jhhtuoL+/n1/+8pf09/ezdu1a6uvrJ/9eeOGFl7roFS4RFZ+VVyGNjY38tq2NVb29PPzg7/CtauFakwvTiirAIL1/GPv4ceojIyMMZLL8cVMjjjJ21ScSSZ4IBrm+upolrlLzl5Sq8pP+ARptVm6eJZLNa12GNu7XoRg6p7JJHKJUEmFpgufiQUaVHDd767CViSAWVfP8KjTAtd5a2sqYc2U0lR2JEENKhnpTafSidqvzrDLCap7OTIImsw2vXLrIy2gqj0SHqTFZeJ27GoPijPVQMAnzymbeU91aVkZ3NsX2RIgtrsCs9XgkOkxCU3BM8/FIaSojSo46s5WdQ330hSX+pr2OCdfrVW43J5JJDKOQif5MKsUCh4PD8TgrZ9g0n0+fK7JM7kDf5II9qubpz2dKIrHNrEfAZmdDbSsAdUKenNNE3mTD7PXyaF4lfuIwy1pqik4QaqMRfMkEv/Ja2T/YxxsEe1FbhU6GSdb6MZvM/Kaz86z16KuycP2GNSw25fHqxQrcsZEoz588VTR2rYrCArcZZziM02LhcDyOVRLpcBSu6wY8GwrxB3V1kzLOpNKkVPW85uATwSC7I1HcJnlShkOWWOiYMtOabQ4awJBhJp7KElJS1Goy+g2rWZpJFyW3na3PN/p8nEqmUA2DU6kkcUVFEgohjmcSyuf5XncPf1BXN+e7xG+efWNotnrEN7ahnwwTc+X5f892csuSRlbUeEvuT+YU/nPvaZo9Dv5oeXmTwePBOPFsniUNNYwpMs3S1GaChlBWsUzndGzyFRjGEwRjDgSHhy21L2BbrPKb3zfja+3A45M4PRhmidtMf2IZNbYu/I7lCOPZ7m9at6rkuYpqYJIFdh2Psmz5TbO2S4UKAN///vdnvdbW1lYJef0apKKsvEpZ8zcf5ktvfSv/098PZ85QdcfNLDseoWqJiyGXC3sux85IZDLx4XAuy6dmHMvrhsGf7ttHTFV5sL+fZ17/upKd7q+fPs3PBgoRHKrMZjbOiNhTkQEjERXBgIOpKKfHzZjqzKWKxKFUdDKZ35iS48/rFhZdNzB4KjaKgsEz8SD/uWhTST3uD/bwaHQYgKvd1dRMC7FrEyWC+eycMnTD4LeRIfKGzslMgj8KzExVWSzDK5nBMOid5lg/omTZngyPl5myMj7Te5ikrvJIZOic69GVTRJUpuoh5mOT/VFtsdDhcNCZTPLLoSFyhsHheJya8fCw/mnZ1c+1z/+oYQWKmiZZ64dgf1F/nM4meVtV85z1+KDDjiLLmFQVaz6PWVEIp1P8oKt7vB7xknElKwrf2PUcMVXlCdnEDxdunJQhqRqegSD3JAZ5aqBrXvVIxGN86cZ1pJAJN9bQYM4T7Yrzofv/l7iilIzdiUSN3+zq4rlxJ3W7JNFgLYzfnnSGE4kkMVWZlPH106fPeQ52JpP8bGBg0gxsQsYGrxd5XNmfaw4qsowBPDfch4KBCYEbeyJQWzzPZutzlyyz0u3mNyPDPBEcAyCpqayZEZbZwJgcVw8PDZ31XfLmutrJtirXHzPrEdh+muDmBdz99fuJZvP8cO9pDn341hIZX3jmEPftK+SvqXFauLKlpuh6XzTFbzsHaK5ysd5vodmaJ6mJOKWC4rbAmuXkoMryFhPbO3ewrn0TZpNA94hGXdUTpLNmwgkHGxYnMJt0MjmJ+qWLqa4zs+/0GK/fXM3IkX6W1R0nHVlMa7VETjGwmMofrUVTOj4H4FrBihUryn6nQoUKFWajYgb2KmXTpk3Ut7ZO/r/GSJO1WEgdClETKeQSuJSO3hO81mVkzGYEdX5mOsJFrsmVrireHGic/LvJV48kXPwpn9a1Iif2i90fphllHshnyJpm32e50u8vMXVTDZ3fDI8QOgeb5pn1SNb4qKm1Yomfn29OjVVDnhYgQDRKQ9TOhSRArKlm0h9jAqt9brO+6AwTp2RrDSMNtRhDccLdSfpPZUsc08+FZ8bGGM2ev09cXzrD0+MKwnRqrRaWTzvZmKutUlYrklLsRO4Yi3IiP3//onVeD+YZIeIPxuOkZ+QNulDmqocuirgN5YLnkCFAa8DD5sVNOGUDzSj+sc/qAhNTdsvizZhNAtGkjsUkoOsCcaOGBR0GZpPOWMRC94ATm0MkEVdx5u1YrCKGdzn9mRUkszrH+lR2nyzMrZxioGrF4ymaeYbfH/o9C1ZcdYE1q1ChwmuRysnKq5j3/P2HScVidEgite2LkNBxbh+d/CHc6PPx5RXLJ80RZiIKAt+74gqeDAa5rrq6ZHcP4CMLF1JnsdJos5bs6FZkQNdglpp2D5yA1Q4vdknGIUo0ljlZWenw8JGGxZMmWjMRELjGU4NJELnWW1u2HndWt1JlslBjsrDe5S8r4+6GxQzI8K51y3HKEoNhFedIGFHTEQWBW3z1k2Zg5RSo6TJWOjzcH+wuul5jsvLe6lY0KFsPURD455aV7EiE2OwKnLUeNlHiVGbKzCxrNWH2uWftD4csc11NNUPZLKfHzcAEBBKqysODQ7yxKkCHw3HOfe7IBNmV95J2WIv6Y8IMbGY93Ctq+ZuFHup6+1ima6yxWvnfGTrBIqfznMbVEiPGSIcfAyajd31Aq6bObGEpRtl6rA8E+NdbtzAUS/In6xbi6BmlncKi+cAZaIhE5j0/vCaZmKKSm6acqobBYDbLh9rbeHQ0yEcWLiy5f7b50ZlM8vTYGKphsNXnxynJuE0yCxwOrq+uLsrPMtccDCYMTDllsj+azDZEQcCSzLDb6mGDESuqR7k+t0oSb66rI6YoxBWVVW43qm7Qk85MfkdA4M319TgliVvq6uZsK7/ZxHAZJW6ueqSsVqpR+Nkfv4FHOge4eXFjWRmffOMqGlx2mj2OklMVAI/Xx7vaA8gCpDSRA0kH61xTSrZdMphwXwzGNFQNBsK7aKsLMxp10tqWxOVQ6RtyMGbairdNnuwLl1vGFn6K5EAVqrUFl7OXaCZFW/XqknJMMBZz0lI7dNYgMRUqVKhQjkpSyFcxvb29iN/6KMdOG9SNn6ao4zuH8kUM5/pyIi/LBL1eGsdKd2pfCnTgjMPBgy8cKPp8Iong2TicipUk5JueFPJcMQQwXdFCfSiEdXzhYFBwHDcEkfixER4J9hclhXRIMn/obyj7vJSm8omeg1zpqpr8zCSK3OZvRLrQOLbjhJQcT0RHyNstOJ0mLEqeekniHY2li/vpHI0neCY0VjZCVZXFzDqPl1a7DdMcCVenE87n2ZfPcyiZIjlS7PMxsz+9y6oxBAFrLo8jm0EyDAYyGf53aLjovqUuJ9dWV89L/mzogoAwxylN3GanepUbl1G8UDx1JAura/FuP3NO8vrSGR4ZGUGd0bBJVeVEMskXVyyn9iyhhoO5HDsiEXqnKQITyILALXW1NM2SMX4mBvBAJM/ReBhTOosuS8g5hTfUNmNvrGOdGpn3+07VdX7SP0BCnfs0ZXpSyNmYnhRygkabtWxSyAk0QUDd1Eyjfv6R9T77fCeiy4LfpCIAMV+Aj2xZTPXWBZj3HgcgpMgEFROrrm9j75ntaLqI07IOl+MprGaVMaUBi1mnX9lIU+uUCaamGhw/lEI2C5hSnQQsQcK5atRMhhWtwzT5S6OARZM6A9HnOHB4kD/+0ItzJjiu8NJwOZJCKqPV3H///Zfk+RVe2VSSQr7G0XUdkyDAtLgySZuNjNlCfaR8krRXOrogEHU4qQ2HXxYK2YveBqq0ixeN6lwwBArhb5126qtMCAZkzWYaxsYwT1uMCUBdJIIODFV7yeajGNEY6IUFsCEKJOoDYICoaZgTGUzjO8YzHesBms32i6ao6KKIqaWRKqdCVFVwpgq+MWOqRjCXo3qORfFytwtZFHg6OFaysB7L5XlsdBRJEKixWKi1WLBJIlZJwiyKaIaBqhukNJWIojCayxFXVFJWK/GMjmgzgwGmbB5DKCh0yRofcjZP1uMkkhZYTWJSIZyN7nSanw0MXHhDAVdXVVFTpj2Sdhtt0xQVHbB3+LGLOUZPxfGeo5xmu42bamt4dHQURZ9q17Smoho6Dw0M4jLJtNpsuGR50oE8rWkkVJXedIbYLO1iFkVuqq2Zt6IyQZ3NIJhU0NxmzIrCqGihts7KsvzsCUnLIYsiG3xenipjlnYxGM3l5uxvA1DkNH5jbrO6pdUeNjVVlb2mIlJvmprfejCGVdSR9hznUVM7NyhdxFUJ56pm9nW9SKN/M/Hs7xGFZ7FZVHSjENUtF7iSqsEdwJWTz4qEFbI5HXvkKHZnBo89i6q0UtckMRZZRlPpYS7HBnazqDGJo+X/VBSVChUqnBcVZeVVjCiKGIaBIQjoFGyWvakU4soa9J0RxFdhRA2rouBLJhgKVNEUHL0s/ixzsUKJc7IrctnlJmt85J12lgtJnJkEwjx0UxFYJyY5ImQZDhScwdMpBUk2cYWQQBBAlUXGxqMTjfYm6A6XLrxareeXpHA6itVMOuChxSOwKBZDFwV2pYrD2h5PJOdUVgAWO50EzGaeGA2W9VfRDIOhbJah7Pzy3ziyWWyigGYSMRAwV/lYW1tLq8eDJkmEBmGDFkGYZzThrKaT1S5ObgCljHI+5nbTuNCCYeTpFp206QlEIHsqjCjakTr8cB6nkC12O29taOCx0eBk9viMpmMZ9xVKKCqHlXNT0v1mMzfWVBcFQZgPWbMZMZPFrKgwHoq5XsjjTaXAeu4JFpc6nRyIxSfrdTFRdIOx3OzPTdms+JNxRs8SuLjZUz48+cQISGoSWV1E97lwxKK4JY3BnJmaapHfJTU2aiojh3pZec1WekZVLGYNhzVP94gPh8/OgqY4L/TkqWvaXPR8S2wvHu8qTLKJbFZhIOTBat7LkX47C2uXk8kb2MxTb11NN/A7riCvPEp7e2mY5AoVKlSYD5VtjlcxNTU19MbTdCyUiYyHbTWAcHea2Hlmvb6c+DZO7RwagCIIxOxTP9Jhl4tRr5ex8bqlzWZysoyvw0lHu0jQ673MJS7FrCqo1nNbfF0omizRFJDZnA3iymTOWWETjcKi3JlJU0+OJrKTz5B1nbpIhLpIBM0HiRkPd0gy1fK5m6hpskS8oYpEfQDXijrqWl1sMGLURKOIhsFiZ2mI2M5kErXMAt1gatEGhTwab29s4I1VAdxzOObPF9EwaJZlbvR6+Qu/nytVlcZQiJbRUa6QUy+5gjwdVZIIGDlyiMjTWiWDRBqZql2nz/vZ/vF23eL3YZVE0pqGTTr3nxSrJLLV7+PtjQ3npKjE7HZ2i14yZgvObKk52fkiCAJb/KW+P5caAzAHrEgXkGEl3FxHrU9ANQRyLhdEEuR8PqKqRM4QWdlqYv2C5fRmLZiWN7Nt7zEGIwdxWPMYBljdDjpaYnT2eLDaRXbsCxOPquzpHCMaUbC1byaV0MgpBWVd0wXMJgVVFekPHeKxfceIpqbG2ZlhFa/7CR58BNasWXMRWqlChQqvRSrKyqsYq9XKMXMNNjR8S90MBgIcXl5PNiAgrawhViaBXkpVOZ1KzRrH3DAMTqdSpOew6R7OZhmeY6d6vjIGXpyy79cFgYjbTcxZSGx5XDZxotWPKkpkTYUFTtzhIOJyYwBCNk3Wn6e3qopEGZOSy1WPgXCEqMtGxutEM5VGbQopOULK7CYfOV0jpikYsyxgDMOgL5cmo2sYQDrgwbq6Ed+07OLnWw9Z0wv5RGZpq9GBwcls7mldJa2rtFjsRU7RBpCq8hJy2+m0i8Rr/SRq/STq/EXKiW+RH09qiKVahLpIGP+M7OgekwmbJJKcVoacrnMmPXXaMlGPnCSRmbGjLgoCy10utvh8XFddxTKXC1eZXCBJVS2SMYFVEmm22VjldnFlwM9b6utZ7naVmLvNZ1zNJmMCRdeJKHmYddFqEFHyZU9SJpjoc894VvohyYHbmPJR2nsyT/B3h5FnKcd850cwl2Od18udzc002Kw02+zIonDWesiCQJPNSofTwVvr67nC6y1rOjjX2DWrKikJehLxi/6+arPbaRgfQ2frj4vV5yN+K059llMXA0LpHIo2e58PxtNk8wqiAB5ZRTcMpIALZSyOWTQwDHBYRWp9EiuvbSWR1rGZFfyO1YTidkJxB4lwFkkCVROorbdg9wr0JGO4qkRSCQ1ZFmh1HaPam6O6TqS1HaJJOytaR1nZNsz6Rf0EY4Vjxe4RFU0DSTRYuvGjs5a7QoWZfPvb32b16tW43W7cbjdbt27lkUcembxuGAaf/exnaWhowGazcfXVV3PkyJGXsMQVLjUVM7BXOaLLB2qKGiPDCXGE937rOQAeeMfr8FpqsGezkxmwU6rKW3fuYjCb5Y6mRj6+eHHJ87588iQP9A/QYLXyi00bsc9Y8G0Ph/nLAwcB+Paa1WzxFxsxn68MyTCoiRUczR/L5fiHF15EeBzufdcNXN1aTSxtwxAEzKqKls1y7Q8epz+e5v3rO/jIDVsYOJOjYWxsctd7Qka91crDl6ke0ZpaUoeHJq8fTEX5l77CC/bTzStY7fAW3Z/RVP5j5AxBNcctvno+ULugRMYPRrv4bWSIKrOVz111AxvMOazDU0re+dTj3c1NRd+5p7OTt+zYWdLnb6qtoVp3cXJkkN9GCvVa7yx+vntFLVWRCH+8+0WGxmX8w3hbiVBwmIkUZJxtXP3rma5zqgeAtKmB0JEYeZOJ7+/cyU+mybimuoq0phHJ50mqGrujEb7b3Q3AxxcvYp3Xi1UU8ZpMuE2mC54fjTYb67yeov7YGAgUhTCej4x7Ojv56cDgvObgN1pdNLe4WahNZWMfycPfPLKN4Uzmos5zsyByc20tS1xO+tMZ7tq3j2A+z/XVVdzR1IxJFLBLEh6TiYDZzP+9wHeJlk7zmT3PE04l52yr85XxRw31F9TnbpOJv1rQftZ6RA2Dt+3YyWhvmrvWd/D569eWyPjUE/u5b98Zmtx2nvrAjTjMxfV4tnuEO372HB3VXp763NtJLe2gL3QAWTKodt1Iz5EBOq5qAeBwt8LiJhnV2M8VHSFGw8tR1auo8j6B7HZhGBA3r8UDqHnwuoWCv5oocPp4Go8uYDHpHDrqoLlRxe5RGYlqOG05BMEgpxjsPLkDWdJoqYkSDOdZtao0UWSFCrPR1NTEPffcQ0dHBwD33Xcft912G/v27WPFihV85Stf4Wtf+xo//OEPWbx4MZ///Oe54YYbOHHiBK4yiVwrvPKpnKy8yklNi3e/o38MzTDQDIOd/SFWLhTIbWgmPW73P5zLMTi+w/hCuLyfxfPjieEGs1mGcqUnAnujsUkZ+2KxkusXQ8apgUH0cRnbD/TjN3KYVldT32FjyRITSjxMf7yw4/5s1wjVRpaGBRZS03bbJ2QMZbPsdTgYmrGAuBT1mOkjdCwdR6dgsnQ8Ey+5f0zNE1QL9d+fipaVsT9VkD2WzxLIjZU4dF/y/hAgrqmz1mMwpBJJpSZ9Ql4IRxApffFcqnGl7Rwka7bQssjC8+lEiQy7JNFos7HE5SSmTNUjoigsdjppsdsnoz5d7PmxJx5nh7OO+DTTxostY+eBPvLTWlsHdh5LMJzJXDQZE/0RVxWqzCYkQUDFIDju83EqlWaDz8saj4dFTic1FguSIFxwnw/l8oRTyYtej+lcyndi0mplIBBguMPN6PgJ4TNdI2VlPN1V2IDoj6cZiKdLru/oH8NlNXMyGOHXR0bhaDcuyyrslhyR9F42vKkNr7MwDiLpg0giOMzr0A2o8T9OlfcJJNEgNKQQTZix2QvfXb3QR2xYRxAFNM2gdaGVRNJEf2YVTluezlQzdqvG8uUao/lGzLJGrf8JFtSHaKmJAnBw4A20tLSUrVeFCuW49dZbueWWW1i8eDGLFy/mC1/4Ak6nk+3bt2MYBt/4xjf45Cc/ye23387KlSu57777SKfTPPDAAy910StcIirKyqucN//13xFKF35A71jdzqamAJuaAtyxph0BaNMThF1udGCB3c4dTY202e18ZGHpLj7ARxcupG38ewvK+L3c3lDPFR4PV3g83N4wFe42u7mQoPJiyljr9fKu6ir6RSdNeooqo7CoWBRwcdf6Dhb6XXzy6sKOXkowkbTZyG5uxQA+uHw5jS4Xb1u/jEaPB21GlJrZ6jHB+dTDks+RdU8tTK8N1LPU7mapzc11ntIwxk1mG7f46mkw27izurXoWs5lJ++w8rbFq2hxOrijqZGlZZzNL0U9ptPsFWmw2llicbJsRj0MQDPJl3RcqaJIdMsCrE3NvG39MpqcTu5euIC8JBF1OEhZLEDh5OKTV6+i0e3mDzasorWMD8ylbquZMtqWXIE5mcadngpTe7Fl3NrUXHRNANrtjkvSHylNm/Q5uZR9PkGH3XbJZVyqeuiAsaaONQvgKp+p5H01k09dvZqF/sJ7bVGgsHOsIdArOukVndz25tdz+Gvv53sfeTstkp0mS57lI6cIRl2sbt1Y9KzXL19P/5iGzfos4xZ7SGJhI8VbY0ESDSSpcMHukNBVSIZ1BuJJBvvzaO4l+DhGYMkqBBGi5vWMRa2MDWl0DfsZjTonw4Urik7r4lvK1qnCywvDgExCvyR/Ss5A0zTi8XjRX66Mcj8TTdN48MEHSaVSbN26la6uLoaHh7nxxhsnv2OxWHjjG9/ICy+8cCmbqMJLSCXPymuAz9x2Ne9ZVo+T8jbTKgK9oov8sRDOTAZtXSPqoVE86dIdvEvF6YYGFp7nGEttbqNJT57VMdUAwoKFpGDGZ2Q51i/SFAySl2VEXcesqki6jmgYpC0WrLncRdXmU1YrEaeL9MEBBAr+Jb5mF4NJMCczNARkxnoSmJPpSbMg65omRsZyiJqOfSyKpBZ8UyILGllkyuJKpyfN+F4qPt7byy1yFfUzrErzDivC6maW9PUhXeQw0jG7nYzFin2xhzY9PtlPCgL9ohMbGk49T1S0EDqVZs2CwtjQEDjULdAUDF7U8lxKdABBOK/ofWNuDwuWmDFPc64/fMqg7hKELv/YocN8ddXKi/7cVxsG0FdTw5pW/Zyd6eOCCaUpgCQUFPBma27yXSEJkNFEnuo2cX17HrNo0Jc10/yGhZhNU/5AfU+dhJXtiPKTWEzF747eUS+LlxocGHsj9U0WdN1A12CwP8eYmsRdK4IBuS4zPo4zlFlMU6uFxa7nCA9maFkok8rKDHar1PkTPPCbPB/8h8ewnCVqX4WXlhdffJGbbruFj/zki5fk+c8+sI2x3d0cPHiw6PPPfOYzfPazny17z6FDh9i6dSvZbBan08kDDzzALbfcwgsvvMBVV13FwMAADdM2GP78z/+cnp4eHn300UtShwqXjkqelQoAbHr3XaSDu7H3DZVdfMsYLNDj5JZY2D/gpAUN6yo/oycKu6SaKKJKMtXRSNm8ERM/t+cbBWnY5ydtsZA1mc6al6IcqRNRupf6iuzyyyEAASNHYDyHgSutwbp6VEEmLZgI6FnGBAu12zux53KImxrQd148Jd2RzSKrKgeba2nyCIRTIjWRCM2KgmKSkKM6jlorqdY6+mM6hiCwNJmg2cigSQKRDh+qJDMQUVmrRbFkXx7ZoGvyCtoCN3p/BnFa3g1zKkuiO4wonL+iMrGXMtNpX1pVw0o9AXpxn5swaNennPOdukrTtA1xA3AudBHJZPAlS3PEvFSEnS7suWzZ8S8COyxVrFPC56yYWpQ8PVKARVqMhGDCbqjM7rh/YVyk1DqvSGJb2nHt6J5TobRuqiO7c5gRn4/V56GoZJBQmwMsss0eLMMm6byxTcE8cVIiqwxFNBJpA8Tt+J1XktcF/DaR0yNufM4MHsfU82RJp2/YSbNtO+kemVjCTPXKjbS0W7EOCcQGNNRAFr0qx0CyFXutQiohczh3FVWmvTx9ci1b254nlrJS64vTvuZjFUXllYIggP0SLQnNEitWrODZZ58t+niusbFkyRL2799PNBrloYce4n3vex/PPPPMtOKWBjeZ+VmFVw8VM7DXAAtWbaTaiNInzu14ZkFnc2OOej1NrZ6hbZGFtkVmVi4UWNQmMFhVRXZG1mZVFOmpq2PIHyj6PGW1lkThSpcJSxp2uahfZMWVSmPMeNFogkDaZBo35ZkddyrFiGhHOcfhvHyRRKOeYpEWo0ONUq2nsaJOPuViKioTWFSVjVqE+nCYzeM+JgJg1jREw8CVyVAXCbNBj7JRi+Aa9y2QDIOqeJy6SJj1xLGch1J3qXBIEno8TqK+Cn1a6NqMxwnG+SuxWU2j/+/+Htf3f8C+ZcsZGDcZCLvd1Onnd+onYyAaBu7U+WcIvxR4Usk5+7TWIxIeD9F9LkScLpq0glKWEmTyCMj6pTmJK7dOVySJwa2LUV/FyQDHtnSQOhknualtVvVD39TE6dMqic3tVC12IJ+jopJorSXfUsVC69nzATmkqc0Bl6wTTen4XAILaq+ia0c/BhCMaaxfsIVocuodnUhbUDURQYCaQBZFFYibVhA5vgMlrzOQTtCx1EYqrLP/hAVNhb0vCJzuixM9dYiuLoloWOHFHQ7cjiw//F+Dq6+++pzqWeHViyRJk9G9Jv7mUlbMZjMdHR1s2LCBL33pS6xZs4Z7772Xuro6AIanBZIBGB0dpba21Jy6wquDV+8vSIVJli5dyq6hPK4mxzn9RNpRsaMhAE5UNjblkdbVMTotf0nE5UYTRGpnmJWkLRaSa5qLvtu7oTSSjml5FV4jj2To2GYkYUtZbQxU1xRlW5+JLgikrVYa954mKpx/PpPTZ1S6TuRw7ew+72e8VnHKMnoyyRXEiTdWTyosmsXEGmnq9CKv6wxmsnQmk2zXdJ6zWtkuiOxSNXbl8+zJZulOpzmRSrNn0SKqf3gft9xyC+3t7bz33/6NK3/7CCde/wa6slmsnN+C2wDiohlpjh3wsNPFHsPNsM/PbsFDtEyI74uNNC0iWNkyDafpSYmcyxlVXpZxLHRxqrYRgDo9g4DA3JLOn5mbmpooMuz3s0CLkzzHjPQvRzRBYMjvRxuvaMJmI7JlAXV6ipULwGEoKGXCYQNkBYmlCwTa9Th1+rnlhAkKVjyySrstd16nV8sGT5HY10NvUKPFkqfRkkc63sPe03m8zkJZDAMGQh5Wr1FZ3BYnnZExdIFNzc+TMK8m0rkHt2ZHU0HXYHFNhpMnJbY29tBILzWeBSxuCrKxGhr9y5GMELe/999xn4eCXaFCOQzDIJfL0d7eTl1dHY8//vjktXw+zzPPPMOVV175EpawwqWkYgb2GkAQBEJVq1nEEBrCOe/qTT4HqNfTaEs8pPGQPhYlZzZhy+VwbagmtWsqY3x1LEZ+d4ruTUuoeSFaMPEyiheY4S0LyXVGGF3kwL7QjB4MFmnPcYcDq5LHpGnkJQlDFIt2n8c8HrImM/6FdmInEwiCfN4WLt4OJ/YdPed382scpyyRUjUkw2BNPsT+RitDY1lsLbX0dDRh93hw19XT/IY3sDIQQJZlJKk05wyAoiiIolj2utvt5m2f/SzZbJZHv/3/qDu5nRb3uS2Cc0jYjgzN+Z2sxYzjzCiJIQ0P0Ot1IlbZcV9GH67p5GWZgN9O/EyY0WYftZHIvNSNMY+HVVqUkHkqCl6/5MSRHbh0hZ1Gymqlsd2C08iQNVvgZXaada7EHQ5USUIXRcJOJ5alfhZpU9G9LGhEZblkc0UXBEQKJ9fnShqZrCDjlS/sNKzRksfScxIscLyhgzqfhFUrbCAAnBqson2hwcQBWPeAk3DcjNmsYwltx+K2Qe4Qhw8so7HGSS6r07rwKCsXRTh62otN302Kapqdj+F2wrPHNnH7DR0XVOYKr10+8YlPcPPNN9Pc3EwikeDBBx/k6aefZtu2bQiCwN13380Xv/hFFi1axKJFi/jiF7+I3W7njjvueKmLXuESUTlZeY3wzj//W2LhUc5IHrIUFoJpReWuX7zAdT94nIPD5cNyfndXJ6/77ja+u6tz8rMmPUmDnqJ1iQXRGuJDzzzBn/7gd8TWFUfTMasqUj7NXx09xrteeJHTu09NXsuYzVTrGerCYe7/xQ7e940HuK+/n4FAgNTmNtKbW+loF1nSJvK8bvC2nbv4hzPH6BrfqUtZrXiXuljbrlOVi/L1Ay/y/u89fE71mM7uHb28dcdOPtx/itNe7+Tu6WR5NY27Dx7irTt2cnRGwsIJ7u/t49YXt3N/b1/Z60fjCd66Yyd3HzxEpozvwStRRkxRSFdXU/fOdyL/27do+dl/877f/JZP7fk9H7v/e9z2mc9yw90fYfO73kVDQwMWi2VWRQXAZDLNeR0KyU5v+8in6PiX+/iXk2kODJV3Fi/X51Y0FEkuqcf0tqqJRPAsrSZY4+WeweN8Yt+z7M9kyJfZNb/U/THk9/PVUwP8+S/+l19Gh8ibTPTV1BTp5LPKGDfBE88M8eFH93PdDx5ncHCQhN3OmNuDMq2dL0Y99kVjk/WIORzYVwWoMSZOEYyX3dg9FxmZza2YVlQh6Tr/PjrKXU8/yRM7dhfd6zbyJG32SRkfOnKU+LoGkjYbVmNKgZnve/eq/3iUnYbBmkWz7ykmtfn9hFvGfVgO13YQzxh4nSIjsR3k84UxYBgCXlfhZDuviMTNq2lcvYZjo6vJ4EGWDUaG2omGVSInDjJ6/CRqKs3Tz3mIBFVC+RpcwigAPfFm1mz54LzKVaFCOUZGRrjzzjtZsmQJ1113HTt27GDbtm3ccMMNAPzDP/wDd999N3/1V3/Fhg0bGBgY4LHHHqvkWHkVU1FWXiM4HA6i69/P5oUwJDrII/Lk6WG2nRzkWDDGt7afKLlH0w0+99RBzkSSfO6pg2jTnKdlDGxo/Ov2Tk4FozwdDLJz2/6SZ+w41c9zw8OcSSR4uOfk5OdmRUHbWciX8q8nTtCbTnPvyVPUtZtp1RO06EmcqNhR+f/ZO+8wvao68X9ueXub3nvNpJNOCCH0Kk0FRLGugBRdcFkLurCuLvKzu+vqroUVEQFXQFBBakKA9N6n9/q+M/P2ctvvj3cyyWQmDZIQwv08zzzJe++593vOLeee7znf8lhLC+3BIK83dbGtK63QjJ5VRsZYtuf97dj7Dtqxn2d7W2iKRlnZ2MWA1kdyURnRxRVEF1fgX1LD6kCA1/x+mqJRftMxeQVGMwx+0NxMRzzOD5qb0aYwM/pNZwdN0Siv+f2sDgQm7X+/yeiw2XD/9D/4zspVfP7BB2loaCA3Nxf5MKYwJ5rs7Gz+84/P0z/7IoZiE0NgHume62PxWg93rWRdp3B4mPBwOxtCATqTMR7duptdSTvBg0zCTsX9MDSdJ1p305eK81TjDkRFIbp7AL8v44gyDMAQBVQE3mzp4f+2NtMbjvH7NTuor5GoqLcxmJl5QtsxlErRFI3y894+3DMyx/2KDNJR2k6nZ/d4ZQRaolToYWZUGPxq+w46RsKTnisBsNVn8MuuLpqiUd4YGGBDcwdRu2M8rDpwzP1uQYaX6+onD77aEzY6Eja2RZxsj7jQplhNjk2hxAymLMwcaGZOoJWmHhWvfREuZ4rhsAOLrGKzagwE7KzvPo/SSjuCAF6jGZtVIxGMITkGmFHUjMNaxcJpnUwvH6CyYBiPI0l9btu4o36ov43i4uLJlTIxOUZ+/etf097eTjKZZHBwkFdeeWVcUYG0tciDDz5IX18fiUSCVatWMXOmGYnwTMZUVj5AXHLJJbzWMsq8GpEuyU1Jacl4JuRzynMnlZdEgcUlOQAsLslBEicbn0yvSGc7d0oSDe70hzVmszGypIqu3FwW5rlwjs3gznFkHDj32EBCEgRm5uyXkU2+MNFvBeBDDen9LqvMRfNzmVMFc9TAuN/CrPyMd92Oi8rSSSHtsszs/AychspocwQDyFzfSoPbM96ORWODvAkyBIF5Y/458zIykKYwLt9/3MHX6mDeLzJmeb186eMfZ3drK3Pnzn1PI7CIosinv/w1fF/+D94ePvDsSKLAORUFLJ/dwLkVBfRH0jP8KcTxMMpHu1bTD7pW9Tn5CLpOY+qAQ+ipuB9FwVFm5qaf6el5ecSdLuSUgiKJ7IhappRhAO0FBQx7vIgYzM7P4POXLuCaufWcU56LjIEdjcoqC73Z2SesHfs/JhfNKCDfOOCXERYseFLJ0+LZPV4ZbWc3kJRlCqrTpnTpviQdTOTQvkQAqrUgC+ZWAun+anGem1nVE2UcS391zaxq/uP2ixEEiMyupy1uozWeVlDyl1SSt6SSGSvKKDmrkLA2cSVS0QWaC6voShzw4YtqIj1FZUQ1EZtoIDR1UV0oMRK8gKCWy1DQjaqJRKIWSirsCIKAxSqQN2MWUt4cogkLDiHI6FAVCZ+dQCittBdmhynICpNSZAQBUorE5uYC7Acl4DUxMTF5t5h5Vj5gtLa2Ev/TN6nJcZLQBdbuTaJGw2ROK6Oyd7Ite0rTaRsOU5nlwSpN1G3XddtwJeKM+v1kiCJKXh6SrqOJIrMrDAQM2iQvxupGumcUkjOk46j3IRkGsX2jOBMJwk4nim7gyAhTPYWM/bSNRPDZLWQ5po4eMhxPEkwoVGZOTvZ3tHbsZ89IjI5RN0uqZAb2RskOTQyLO6oojKoqZU7nlCFKFV2nIxan3OnAcpjoR52xGF6LhYxDoqodLCOkKJRNkVzu3cpQJImULKNEIu9IRkxV2ZyXx7U//Q8KCwunPPa9JBAI8Pit11PmEGkRPJxz1/0sXryYVCpFMplk1apVFL/yG8Jt6njY4uO5H0lZxqKqE2Z4TsU97/JlsHdnFxXzqgj5UziGQ+SXecgOH3g+D5Yx5PNRXWfFgo7AWF6PgjwGmgZZeND4fFSw0rcvRm4weNR2BLxeesJhHHY7tfHJDuIJi4V7W/fy0PnTqT7kHUwg0S558bzdSNdp/H5MJaP57OnkbW3HOTtr3DH+WPqSd9tf+UvyqHOlCKkS/SkLlmklIEJdkWXC5MDOl1vJsyr0llYyva+ZkCrhljTaEzayLOq4r0tcE1jjVqnIm4a6pwvHzDKqC2UUVWdft4YmrMPmdTNozKe43DYuY+XbQ9Q4OlGiCQLiDPLZjp6/EGFgIyU5o2S4x1ZTYjassgoIPLu6kLvv+82U7TI5PVmzZg2XXXsl9zz78Ek5/+pHX6Ao4uJ3v/vdSTm/yfsbM8+KySSqqqp4o+ZSyvwrscsSc+sctLWJdCWtlE7hfG+VROpzfVOeq7pUoFkqwkk+WuMQWVUuwo0hMmqcJPQELlRshobgcFDTFiRhtWIzNHaOOFhea2VY9OJDoL8zRU2uhOUI3vGH+6jvJ8thO+zA4GjtAFAQGUrlUVRjZWhnH9kH5eBIWiyookgGkDx3Oikjib8lTrF/aIKjs0UUqXEfOXLU4QZZ+8k4wiDq3cqI2eyoskR2MnlcMkYVhV3FxVzx8P/jC2VlR5T9XpKdnc0dT71GKpWaMLNrtVqxWq1cddVVrLPLvPKv3+bDFguiIFDmdKLoOntiMbrdHgpiMWbZDzxHB98P2xRR6U7VPa+QbCRbhnFPLyIViYOQVhB0UcSZTJKTmUncaoNwCGtDFrIWGn82o8i4LCJFPhfoB5zcRwUbGZFB9CnaEVlcgWN9B5JhoAsCzoZMztbtKIJIZ5MdX50Xx1hAipjNBnMLyOzYNUlRAegXnSSaR8k5zd+PqWQU6DFG3G5G2hQKytP7j9aXwLvrr+JI4+kuRmqrcAgC7YM7qCuahW7A4IhGYVZ6NWXmxVW0DahEAxqGAW4pHb2xyjHRLNIuGljlWspyJZwHJR4KhA2sFsjyhegIZSAldwLzAUildMrlblLOBvqDKcp9LQSHbRQq2+m0zIVwExnuFgAkUUcSDSyyxvS6MM888wzXXXfdEa+BiYmJybFiKisfQM699hZ+e98LfGyGmwxZw4pO1miQOBIu1KPaBgYEOw5Dpbc5QVlo34HoN4EALkDdMEr3okrqtFGK9Sjrc/NwJhNkhcN0dWmcXzyMFZ2SsYFTWclJbe4xYUGnohDCGBOSBQa8XrwNPnRkGnsUctEo0aPkVor0VlcQaQphICAZOvkjUzvLni74YgcGqpogHDF8r2EYNCWT2L9+P0uWLOHc7OzDlj2dkCQJxxHC5C6+6DIWXXgpv/nNb7D/9rfEVIW/5OZx8+1f4Mq5c3nmiSeYtvL1w87KvxfIukYs04tg6IjrW7AD3aKIpyoHTZSo7ekm5HShj82GOzd00r6gjKqxhJluVCJGOmjxwUQaQ7incDJPyjJ9oovSRaXsz49eokcQAYehUVVjpbElSvbicoabo2iSyFz18AlZy/QwkakcK94HRBqDnFVzap+FgGhnujVt0mjf1448p4oLZqfNLde+2EFAkbnyQwd8QirzZZKKgRZIh48WSJt9HZxvRRBg1kgH3W/K1F14wC6tfWgTuYUSAyNuFEOkYPZ8BEEgElYRRYHszCTJ5E5iikBfrA5PgUw4uo9yzy6CAYV9Xbl4c2wUOroB8IechMIq19x8zam5WCYmJh8ITp8vsskpQxAELvzS/2N0zCl5Rq0Vt5EiUJRPf0nRUY6G9naVXZ3p/0+VA0XWdexbuukVXQjAwpIkObUuBjMycSST2MbMU043yvQIidbw+JBOFwSsDVkU6jH6elQkTUM20gMAGzqVephZ1QKzqmHY4z0tEt/pi0roy8qm8+xphy2TtFjw+9Izw/4l1YTGZpoVXWetYbBn8WL0L3+Zq1eu4sorryT7faKoHCuCIPDpT3+a6//+dz67+k2eeuopbrjhBnJycrjti1/kj0vO5vUpTJ3eK3KCQYoKbKRcB5Qw50gIbVMHoe60kuCt84ybJlo0bcrs6Nn6ASdvBRFDgJDDScJiIeh0oQkCqiimj28fplCPUaZHKBtTVMZlozK30qBUjzCnymBeuYY/lsJ1mBWPHtFNVvjwyszpQEqWGXG7JwUX9tad+jwhBXqMnmR61SXfqtC7oQttrGK5c4rxyhqHWm+77QItCTtNMTs9KSvN8Yk+I0ldIKaJ2GeV0z+SVlCjCZ1w3EZiNIrh8GGR00JiUY093aMM+xXIm4+Yfxa+LInCUhv5hVaE7Ab6Aw5klwMDUKPpqGmqJqLbMlm9XkM8DfpCExOTMwezR/mAUlpaylujBwzYM0tdZPcOoPUGj3BUmrxKO1mRCNmhA2UTFgspWR6f3XWkUmPpJNMPWaEeI7fKjnYYG+/ThZnlOuHFlfRnZtGdm0uZnl5lWVoYY2FJilxjcgZpAViWHyG8qOIdZFI4cQx7PKQEkVnVYLSMTBquGkB/ZhbGvEIUi4WkxYJvfRt+i4VVbjfeX/6Kf3j1NW7494eYe+VVWI5gbvN+Z/8KjCRJ2Gw2FEXhueeeIzMzk4ceeohLH/lfhpLJo5/oFJEbDFKUJRMuyCaam0GoMIdQYQ4FOel7pCPgqD9gmqQIE9+zgu4+4oI8Hrbcgk7Q5SZ7lg/bWXnkzvTQUlxMfGE5wcWVzCtRplR4DsdgNE6GffLzMiTYSewKHDGx62nB2OC/celMwg4HXbm59GVl4TaUoxx44hExODhgoV3UWftSF5pmYJWh3J5k80sTo6GV5MiMFBbjnFWGYUC9I05f0kJKT/fBQVVmQLFQkCnitgtEEzq7utZzVnUPDpuCv18jKM9m494AwREVUSL9h4DdIZLTMIdU0iDQtIvAvl3gqyYnI0FRqYiuieg6tPRl09fXz0Pf++OpvFwmJiYfAE7vkaPJSeXcWx+kxZ8OL1pqSzIguWjq7OH7b+6iNzR1ArzeUIwf/GUTb44GJ9jw2xUFWdPQNI0nurv5fU8vuq6hjiksMWS2BV3MK9dY3T5wVBnff3MXq9sHptyv6jqPbG7mkc3NqPrU6sE7lWFDp0oPMa3KYFtgH49ubhqXIcKEwcuhMgyECStG/YkE/9XaxtrhqfOAqLrOE93dPNHdPWU7VFFkZb6Vn6RGaG3ITeefsU20c+9PJPhxZxcr861kVVmJDvSi6QbTyw0GMzPHZTze3U1nVjZ1NRLu2Ai9/f2stNoYuPfLLPrZf3Hns3+mpqbmPY3s9V5hGAayLPOZz3wGgEQigcVi4eVzl0+awV47PMx/tbbRn5istMK7v+dHklEUCHCWGCZbCLGubRvJ0Q4cqRQpSWJQdGLfmM4tMmq18vcN2ya9H8MFuezPmrq6fYC1zeuJBkfJNRJ4DYWlhXEq9RC1WpDBUPS43sGhaJIMx4HoU8OCjd++PcBP/m8tSb//lF+r45XxdEcHnlCIzD09KHOKmF1hMKtaIMtInvL+SoQJa8+VjgQ1jgS7u1QCW7rwShruGZNDA1cPdVBdIGGdXUHCEMmzKsT09Cc+z6pQaU/SvKqdnoBGW79GhjtBb8DDtpEVuDOsxGMqSsLA0A3KM70Y/l309iTo37WdzrY4Gdp2ZDXMovoO9JE2EimZnk6DsrwRmnpyWbggQSB2Fjbb4X0HTUxMTN4Jps/KB5jc3Fz6Fn+Cke1/INNlY1qFzD2/28GmrgHe7Bjk2Y+fP+mYO55fx/ruAH8SBOafvYSCgxyZRcPgqd5e/r0xnU8lVZbJssJaZFVj2OdluXeE3mCMm596E80wjipDEgTW3X45Rd6JDrG/29rK/S9vHf/9mXkTMyX3hk69jGc+fj6pfSPj0Zd0QeAru3azJRhEEgReOORaAfzfQdcK4KaSEnRg1ONBnp7DSCjEPf/1JzTDYEd7F89+/Hx2uFwkrFayxhLW3bdnLymnk/ysciy33sOymhoGBwcZ7u3FEo3y1svPM9jj59Irr6KkpoaUy0VRXh6f8XhMUw0glUphtVrHlbRIJILb7eaxxx4jvvoN/nLFlVRZrVheeZmkKHH7tu3ohsHbapyHz15OcWDiQPyd3POD6U8k+MK27WiGwbqREX47f96E/QLwjW3b2RIMIrbDfZEoN5eWILf4iS8ow7a2lT/29fMf27aNH7P/2a3qS0f7Oxnvh9c2MfLV1u3DfOPNtIwtQ0OT2nEqrtXxytARWHHONCzGATO696Iv+cPHL8IiHFBqZAGyLCpZPU3ggp7qOlLbO2HMUT6pGLy5extGFox2qjhsEKmqwt3RhE864JMUVCUqz60knjJoGViLJsiITg8WTQTBoMSxk6rSRVisAu0tSSzxCPGBfTSU96NYEsQTEnkZEWwWnbKMHgZHCyjPHKLRX0luYQIMDafbzFpv8u556KGHePrpp9m7dy8Oh4OlS5fy8MMPU19fP14mEonw1a9+lWeffZZAIEBFRQVf/OIX+cIXvvAe1tzkZGEqKx9wZi+/nMfXruLDrgBeWePWqxdz28+eO+pxBtA3v4b8Xd2H9T8RSCd/zC+3sVgfAgOmzjv9/kdDYNjrwVKfiQEkWo7fRl8TBEKLKynRojj1EL365JncWdUCEcFFW7OFzKEhrv3iF35pZr8AAKZuSURBVPna1742YTazqKiIoqK079F55533jtv0QWB4eJiCgoLx3253OorTTTfdRN2//Mv49lfzfXjffmb8WbejUlMl0SzkUOT3v2c+WH9IJvk4kFPpQDJUNEEYN8U8lQRiSUp9LlQEdrcaOE8jE7pjRRdFcvQ4efp756+kI9AvOplvn5xvaj/2va0w50BEL1k0EJiGw7aNgNKKOlrO7AoLWyNuMmSVansCA0jVlrOv923iKQuqZiEhePBqKbLEPTQOTqPYsp2RUAxropVsXwJbtg2nbRRFkUkaErKs0zvgIzcjQlF2GG88iduRwiL3oAjZPP2iwE2f/ewpuEomZzqrVq3izjvvZOHChaiqyv33388ll1zC7t27cY0l5r3nnnt4/fXXeeyxx6ioqOCll17ijjvuoKioiGuuMQM8nGmYeVZMUFWVF779OS4ptzKSEvjPZ7ZxfXUuhZ60A2Wb6B2PLNQXjvPf27tpUO3MzS8Yz/WgSBKDGZk4I2H+2NePJc/Oh8+qY6DXYHqxhs848PFd3T7A+u4AN8+ppNAzOXJTXzjO49vaWFSSzbkV+ZPrq+v8bmsrALfMrUKeYoXgVMso8DjQDgr9vKPFQOzr4+neXs7y+ViSlTWljP8be68ur6xEnFdCuR6aYJt5uHY0xg0S0y/i0ttun3Rek2PHMIxjMn1LJpO8fefVDEXiE+6HisCuNigeM3UaSCaP+Z5/pKhoyudq7fAwW4JBri8qIn8Kk5r9MmZ4PIx89AYWv/A3vOfV4zVSDO8MEnA62TbSjIRxUt4PY6wdjx30fnxv9W5m1VYzrbQA79pWxONox6m4Vsci46LaOkpnenAx0b/mVPYlH51TBb4c5tYefh5xe14NdcUyXmf6PKpm8NeNe6nMq0aU1pFSRZKKhQXVC4mnDDqHNLR93dSdV040adDSpzKsdOIWgwSjNkJyPQurdqGEw8TiiwmEdBS9hYIiyLNOY1tPJxnWYVz2FDNmamzeYsXqdiErQRIpGVemg5qyUR57rojP3/mzw9bb5PTldM+zMjQ0RF5eHqtWrWL58uUAzJw5kxtvvJFvfvOb4+Xmz5/PFVdcwb/927+dkHqbnBqOJc+KqayYADAwMEDksXvRnJlYO4awjbmKG0B/SSEWwSCnq3+8/G4pk9HOOHnBUTKiUVKyTGxBGS5dISlIhJrD2GszyNIT5EzhlH6m0yF6ELb2HdMMsyqKJBaWUaEf27pTbySB/PlvM2fOnHdbTZOjMDo6SltbGzk5Oaz76qc4p3RyZLQIMh3NqXccujopy8QXlJGxthUdCC6pInNt61GPG0gmmfHH/+PXn/gEZ2f4qKm10C55KdSjeE6SY7gOtEleJMMg3BTCWZdO8vrvT67i9vw8yo4QNvp0ZzAjg7paeVKuqVNJEpFkeS4V9sP3G0FVIqxJ9CatLLqoFKtFIBTTSaYMhiM6I3oT/hEbJe5SIqnt2Cwqhn4Wqr4du2U2TqtITZFMT0CjfWgrAgYOm0a/uBhHaBuiw0lFRhd7O5dQVbSRkYiDlCLiy7GRDMUYjdroTTawrGEXnR0ihcUCG7cl+ORtf/hA+rydCaxZs4bLrrmCe/7w7yfl/Ksff5H8uItf/OIXE7bbbLZj8nFqbm6mtraWHTt2MHPmTABuv/12Nm3axLPPPktRURErV67k6quv5oUXXmDZsmUnpR0mJwczKaTJMZOfn89Ko5wrrH72iQ6K9ShxJPyig7zuAWzoGDBu7pKvx1HK3dh0mR6xGBqHCfVqLMmPs6tVoHB4mJThPi5FRZ0iKeX7lXI9zA6X67DKSsJiIeRyoYkSvlo35cegqPijCbZoTpb/839QUVFxgmtsMhU+n49f/+tXyMnN57YpFBVI5zHx1Hkx1o0ctzmYKook55eS3DfCsMdDVjiMa2PnUY+L2u0Ius6qv/yFuttuo/+3v2U6EnXa6NRyEAgKVrKNIyvPEWRc42ExJjIqWPGLDuyburArCm5AXzeCYBho0Qh5ltMgYdK7QBPF97z3kTA4Wi18skZEk6haVIxl7AvudYrghNwMCZgOZdD+WjNzL1jAvh6FyM5uwmoB1jooy5MYjeoIQrpHFwQYDjsoaLAiWC0o0VF6osUU524hnrKQUmTsVoVMeYCgzU6WN0pOdBM2JUpVoYBmcVBS+wVTUXmfk1BUXtm396Scu9s/hL+9HZ9vYjLVBx54gAcffPCIxxqGwb333suyZcvGFRWAn/70p3z+85+npKQEWZYRRZFf/epXpqJyhmIqKybjzL7yFmKvPYQy9lhES3NpsCfZ0upBNnSK9SjWsRWXbCNBhprkpVAOnliMJVUgkw7zW1cpMlhdTsEUPhdH4kxRVA4gMOzxkLBYyQ6lo6eFHQ7CTicF1Q7qjUTakVePHPEs0ZTKBm81l3/1G8zKyDg1VTcBQFEU5hTncZXnyEp3kR5lX0Ym+aPHt7piCAIOVKpqREKCi4HdE5OSHg5XIoFxdhVKdxe1s2YRlCRSiOPv53j9EVERCIh23CVuUpKOtW3osOd1c/gQw50tKYoCfRO27c/touoGdlk6ar1PZ3y1HixHeRdPNmHBSpY0OVHnhDKqiACktIkmjLGkznBYJ5Y0qMyXGVJkgq0pMjs66FIdlNuTeHva6XFVYbMIFGVK9AZmYvXtYzg2k7bhEPFoBQ3OdjTFIKnItAeKKPXloxvb6Bv2EI1bscoLqSt5jc5IGVZllEf/EOGH/3nhSb4yJicbQ4CofHKC76dEgxkzZrB69eoJ249lVeWuu+5i+/btvPnmmxO2//SnP2Xt2rU899xzlJeX88Ybb3DHHXdQWFjIRRdddELrb/LeYyorJuM0NDTw18cSNPb6uen5Tfzi9psZRKCk2EZ/T4pe0TXBVEnC4FLvEDv8AnEkPGMDHSfaMZs0HQ0FAcv7VImZVQ1xHNjRGBQKiAsSPkOh0kiCcXQnXk03WDMUpeHL3+NjB80omZw6NE2j4tpP0fz0T6nx2Q9bTsbAOM6ZZR3oz8qmXk/7c1kMHU2U6M3KxlnnI+MIpmCGYRB8Yx8VD32GhoYGNgeD+MUsivToeBm/YCciWBCATCOBS9Jo7lTxiU6GBTu5emzKvEEBwU6GkUAAukQPIgYGYFVHD1uf9/uk+nvZwwwLNpTiLMJ9MSyGTrVlamVFNWBPQQ2ppj4c9YVkj13zva+0UHZuJa+/1Idb0nHW5rN2X4r5rhhvjOg0WBVsgs52XznnxVoJ7O4iZcDqlIy1Mp9wQEGTQfRAna0Dp0Ol3NdLLGHBMPrwOQuxW+fROahx4Rwbum6wqTWTyoIO3t7r5P5//f0pvFom71ckScLrPb4kq3fffTfPPfccb7zxBiUHRQOMx+N8/etf55lnnuHKK68EYPbs2WzdupXvf//7prJyBmLGLjWZwGP7VP7YmOC7d3yEmWUwq0KgpyVITpGNpCChM/HDLgLezDCpWPQwZ0xHCmobOfyMZUrT2TcUJKVNntV5a8hDm+ihbSRCIHZ4E5Z3I2M/J0OGYyw1Zr4Rp1SPEBwOHJOMlKazylnJR37ztwlL3yanFofDQVlZGQ/sHOat/igD4kSfjIPvuSEIUw56O2MxRlKToztFHQ6qK0XisShtIxEEQJqeTUWNBcnQGfL5iNls+BeWsSeRQNHTppjdWdm89dEbGLzmWubMmYPX62VNJIz/kOfKa6TIKXUgYhDIzSDLorKkGlRAwCD7IEXl4HZkGQnaJS97mnTsGzpxrOvAua6DWF/flO2AdE7FkVSKztjhV1MVXac5EkU5TK6RI12r/ZwsGXGbbTyH0qnsSwxAL8mkwRVnbpVIXtnUPj+9SQu782twWAUKbClSTX2U5BxYydrbpbLAE2GuO0pdXyuLR1uQBVgRTyu8iiGQ4Up/7mscCRyzysioLyAU0xkU5pBMaAS6NGRZx6YOI4kGw2EXVfkLCMY3E02+TaZ3HdvbUoTjBpousHqrh/Ou+C3Z2VObR5qYvFMMw+Cuu+7i6aef5rXXXqOysnLCfkVRUBRlUvh9SZLQj/Dum7x/MZUVE9atW4empWfzbG4v/V3tfKgMci0qPlnjnJkOapxJSkqsdIruCQOyR7e0cM7/vMiS/36B9ik+8O0jEZb89wuc8z8v8uiWlinlf+zJNzj/Ny/zsSffANLO6W2ih0HBQXm+wRubtp5wGYdyMtrxbmQ8K5fx8Qe/Z9qBnwbU19fz3R/8iP/1i7S7PYyU5jESTw92D77n9dUi/kNssp/q6eGqteu4fM1aumITV9OsqkrTSHz8nj+1pZFaLYjXUCjVIwz6Mhjyevnnx1/gxrfX8Kldu2kqKeGXA1185jOf4ZP33YfX60UQBK565H+5/mf/R0vogAJiRUcxRMQ8G149giSkV0Aaqm34jCQDJYXjZQ9uRwIJZXeA/NERpLEP/5HaAZDQNC5fs5ar1q7jqZ6eKa/jbVu3cf369dy2dduU+48moysWP2ky9LmFZBrJU/6e/3xrJ4XW9LNkFQ2KbROVqJQu0Biz019UhixBUXsLRVaFLFlhNJruiS2CwWBQpyW/ggHFgkM6MFgTx7qPPKvKzMHm8e2+fc3k+EQyvdvJ01UqnZtZUd1E68g0FEsWrX3ZqLrAvm6V6sIAPlcCwxCIJQ3WNu6kszvEFTc/ToZplmpyErjzzjt57LHHePzxx/F4PPT399Pf3088nn5nvV4v5513Hvfddx8rV66kra2N//3f/+XRRx/luuuue49rb3IyMJUVExYvXowkpWfplixZwsYHPoRFFieZdrglDaHAy5BwYPbvrY60/Xs0pbJzYHTSuXcMjBJNqRPKHoymG6zrTod9XdftR9PTJich0Upnh4qEwdsnQcahnIx2HKsM3TDYORTkpZDEl+68g7a2Nr700I8mHW/y3jFnzhzmzZvH/Fu+yibvErYsuoEfahUT7rmka6TkiUaL68cihMU0jT2RiaaRiiTRNOCf8rmSMVieH2Fumcbm7vT23X4/m4pL+MPLq7AflNzQMAxGRkbQZZk9vROTVI52x5jl06jNPmAbPqhY6BNdeLsHgcnP7p4WlZzQxDxBR2oHQEhViI1NeKyfIiqaZhhsHh0FYPPoKNoUQSiPJmNPJHzCZRhAb3Y2GUaSIcHBcztD7+49r8o5rr5kfZcfzxH8BHpTVqZdUImrq4esjg5aE3ZeG/WhTysnwyXQMvAaxedW4xwcxN7VR7lt4mpOb1hlc2+MzWEX61vSpmQBRWazt4K+zd0UZc4jrjThc8wjOTKDaZ61tHR5sHmd2CwqIb2bHr+PNbuXkek6mwW1VhbXNuAuvXPCM2hiciL5+c9/TjAYZMWKFRQWFo7/Pfnkk+NlnnjiCRYuXMjHP/5xpk+fzne/+12+853vcPvtZjj/MxHTZ8VknK6uLlasWIFl9XpgsrNspkUj0xJjW780bgt255J6mofDlGe4uKC6YNIxF1YXcFltER2jUe5cUj9pvyQK/Mv5s3l0ayufnFuFJApU6GHChgVPmQK6clJkHMp7IcMwDFaHJc76x3/jgupqLpbe3w7KZzI2m41vfetbANxyyy2Mjo6yb98+vnLuDJ7c2TF+z6uqZYZiTrzxtKnSZ8vLaYvGKHU4OPcgc5khXwZ6Qy5nJ8OHfa4E9j9Xs/jlhjauW9zARRddNMEpdXBwkB9dfz2/2byZeT4f51QXTzhHvh6jO5FJif1AKOPBzjjzD/Y9O+jZvbC0muwpzKwO1479ZFttXJBjoyse57Pl5ZP2S4LAl2tqeKq3hxuKipGmWDE8moxzs7O5ICfnhMqIOBwkrFa8RoodrQLnnVPH1qH2d/6et/qPqy/5xi3noxrpLPUA0tkNaGv2jJfNsyj0DWsIdaUEG7uYc2E5+3pVLJKAIAiU55xPMKoz97wS9q3uZFSV6EraaHDGsIgQ02V2d0apyInjLXBiGDGyLSrLo62oToGubZ1UN0yjqkDmxS27qC1cTLnPIBXeRDS+gALXZmRZY8WclXQMZuK2L6a5O8rc+XMntcvE5ERxDBk1KCgo4JFHHjkFtTE5HTDzrJiMYxgG999/P/9SM3REh9mdTQpysZesrv4zMILXqeP1lIcbv/fL8VUtk/cff/zjH1m26anx3woCLfsUckLBwx4Ts1qJ2+1kT/OQaSTTEeGOQpvo5dfPr+e/Nm6coKw888wzND34IJfnZGMA8cXllI1FtBoRbIwINjJLnFQ70uZhhgFbmicHwDCAsGBhYHfkmKKRHco/7dzJ99+nvlVDXi8F09wMiE5SjSPMqBaO6Z68WzQEeooK0RGY55na5y+iiXSWVFHW1Up7wsa8Syvpeb2RguU1SJLI37dspyRnFPQl6Ab4nCJtQ9vwOWZhGNDQ10xvykpTl0a2kSAuyDgLXBhAjT3OC4KFJSqk6sqRRKgpshCO6RgY7OraiM2i4XUmMPRzCcU3IovzwVBJZV3MokWLTvo1Mjk1rFmzhvOuvIQZ3/30STn/wAsbudBd846TQpqc2RxLnhXTDMxkHEEQuOmmmxhKHfmxmFlroc4Rp1nymarKO2TPaILrvvMzU1F5n3PRRRcxmjjgZ2DBQD3CPQ06XSTOKqG+3kLO/tDVx0CkKUT90tmTQn1ed911/E80PdANOZ0Em8LjWVIURDxGikj3AeVDEMBb4hoL+5CmQ/SwowUGROc7UlTez0TsdlLTC+hrjJGxvpXsUJA26fgiFr1T2iQvM1wxZrsnKioj0+vZG0ub2loEg7LuVnrKq1EMgUhcY7s3Sf9o+rk5u34mkbiNpLYBWYTRqI5NVgnsGWBo7yDrQh5GVZmGMpGgYEPP9ZLX00dnwsa+uJ1rxBTFthTDO3sZ3tGDYRh4nCIdQ2tYUreIZGo+mnouNotAIOSkLFeipfNVZs2adUqukYmJiQmYyorJIcycOZMtnaNHLScKkF9sJyxYJmx312aepJqdWaSuvRPH+zjbt0mazMxMNlicDAsHlAhdFBjIzCTg9RKz2RjIzCS2uJz+zCwGsjIp0Q8fOe9gVNLRxYYFG92SyCVfuG/Kcl/72tfQRJHwnFIS9fl0iR4A8ow4uUYCg/SKyn7yLSkCwgF/AwGDouEAmUcIlXymYlMUxEY/eaOjyLqOpOvET4F1dJfoprLMgkWcbHA7sqkdx4wSDAPaSqpJzKxldHcf3d4kPQGNLG+Uza17aexRWLlzL7J4FpmeOE7nGyS1TQRjdgwgszaXigUFOAWNkCqRd141WQ35DIpOZg73oPZH6U1aaa+oJXNmEXJ1EU29KinFYFb5MgRBQJK2UporUZYrM7tiJr0BlU27Mfuuw6DrOrEjRKszMTF5Z5jKiskENmzYQOdIOuKGoqcdMg+HJBgoY4/QiGCjVfQy2jSKgkBbUTHKcefz/uCQn5//XlfB5AQwPDxMpVMhLFjHt82ughk1IpX1NtxzsmmoESnTI0yvEZhXmMJ5hMSLB7O1U2J7m0AUiVYxwdy5c6csN3v2bDbH4+TrMWaoATIPyeGjCCJvtRzo6ne16+SOldEQCO+b6Ez/QcKiaRQOD4//lnSdqGBhc4d00vqvdtFDZaWNXGv6OQjNqqcnaSWhp+UZ9WVoWtq5vixPZm/3dgptSeZW9+Cwr8Q/OoeG0gEyvS+jKBVIIgRCLlz2FCAgiTpCdZwcn8RQaBNV51eRNa+c7p2DBOMGKgIDogNfsRMdgYr2JjxNbRR1tTG6s5fONw5EQVtUuxinTaRrSOXF9VtxVt/At77/0km5LmcCoijSc5hIdSYmJu8cU1kxmcDw8DD+/HkMpix0Ju3siToZVqaeacyUVQKiA39pAc5yL/NqRNolLz2iG3UgQnNBySQjF4P3NgHb6UBPKEZ9/WTnXZP3BwfH8Xe73awOZeApspM8pDu1opNlHNgqAnaOnJ18P2HBQkYkgmAYDCYNPnLrXVOWUxSF73//+5ScVUS+HsOOhsdID4INoF90UKWF8BgHTNWyi+zjw/BB0UHmFJG3PqgIQPn6vQgGJ8UfzwA8xS688oHnIBDWyVpcRUtRNU2x9IpXdHcPrvmV2CwCcyvnUHNhLapyLrohUluylgx3AkGA+rJNCALIooZhgMuWxOmzkyEHwICRiIOd7QryzmamOePk9HYzvdrCWVUiWRaVCns6eliuVSXLqjHTFYWGCgA+9IXf8vTLu+nsHWHlrkGuuulHVFVVIctmXJ4jUVtb+15XwcTkjMNUVkzGURSFRx99lLn53YQ0CZ+sYptWTFib2gZfMwSyi+zUORMU2hREARbVCMyrlZhVBhlSitBBM84AQ9h44K0mlv3yRV5smtqZ6sWmXpb98kW+8crWKaOC9IZiXPv717n296/TF56cj8EwDL7xytbTSoZuGOOD2T2aA6fTOeUxJqc3gUCAZ555Zvy31Wrlaz/8Jd2119Ccspyw5+r2p17nbbeOfsFS6m7/BnNXXDypbCqV4me338wPyjVmudKduQgMhKJc+/vXufGJN/DHUnQWFY+/hzFNJNYdGn92n1/ZhFWdvNLz+tAQH1q7lu82Nk7Zjv5Egk9t2synNm2mNRrFKkz8lBiGwXcbG/nQ2rW8PjQ5BPDxyhhITk6weLJkSLqOIaQVlxPVl3z48ZXc+tx6urNcDPfGOTjisSSCzyUyvHeQ6RdVku0RyZ1XQpZbZM3eLYxGNYJRnZHYFiIJK1meOKomoqgieb4weZmvIQjQ2nsh/rCLWDABAvgjG7FbVaaVyARVmbguUrG8ir0xB10VNQxXVKIdUl2/YsHnEgiMRJmx4FK61Zn8ZVc+n7z1e+Tm5k7ZfhMTE5OTjamsmIxjsVjIcEn89q8tWKeX4VcslOZIiIeZYcyyqNQ6E1Pu++91PTz/6i5kIz0LrZM2ORn1D/Hc1n1UFmXy31s7pjz22yu30zoc4TebmmkKTJ71fXx7G+u7A6zvDvD4trZJ+5sCYX6zqZnW4QjfWbnjtJCxJQIdY467gsf063m/kp2dzYc//OEJ2wRB4NJLLyUwbSHfen3bu3qudg0G2Zq08c8/e4R7f/ssl99+D3V1dZPKGYbBvbd/nrOE0KTwuftlvNkxyN837sAq6vjy0zP2SV1geGRk/Nn91Y6pn90ftrTQEYvzeHcPrVPY4D/d28eWYJAtwSBPdHfjsUycbW+NxXi8u4eOWJwftUztC3M8Mp6eIkrMyZAxkJlJf1YWnio3fsF+wvqSNV1+/rqnk6ee20BOsYODb5m6u4tQTCfXqrD5pQ50A8pyZUIxA0kyGBjR8blEJFGnuXshzd0X0t6fSd+wh+1tRTT35pDpWsKsCguiMQuvM8lI+CxUTeTc6fNpWd1OUJUQp5Xyyou9WASD3u39DIxqtMbt9KcsdFXV0Vxay9yv/oH/+MMW1u8Z4aKLLqK1tZXZs2dP2W4TExOTU4WprJhM4Mbrzufxhy6nqkBCry7G6xSwz61kZ37NMZ/jv9/u5IFHX6LBriFg0CF6GCwppLWgmCKvk0KPk12dw9z/ifPxC5MTi62oTOcmKPE6KfZOXoFYXJKDJAhIgsCiksn5GIq9TkrGjjuvcmrfkFMtY5pNo04bZetIgpLFK6Ysb/L+5sZbv8THbv448M6eq9f9KZxXf44N27Zz2WWXYbFYJh2/nwe//CWe/b8/HlXGWQ119PWrBAbSqwbDqoVKpzz+7M4/jO/UOVlZABTZ7RQeEoEMYF6Gb1xGid1OhjyxroU2G0VjSQOXZk2tnB+PjLN8vkn7T7SM6Tk55Nc6mV0FbkNBRzhhfYksCoiCwMyqchSdcf+UjoQNp6ixvV2h3hFnljtGKKYTTxk09ihUF/jJ9oo096kkFZn6EpnOIY3S7HkEgvPJ9UWYVjpIf3IfrX0quT4RWdKZVraK5Jj5blIX0QwBlx0q5+SQKaucf3kJy2bY0is5Z1dTlC1RXSCQTCZZuOJGrvj0D7j44ov5yU9+wrnnnjtlu01MThYPPfQQCxcuxOPxkJeXx7XXXsu+ffsmlduzZw9XX301Pp8Pj8fDkiVL6OzsfA9qbHKyMfOsmEzA7/dj7fwlHvdEJWLny63UHWYVZdI5khJbGmNkV2RhEQwyLSoWwWBElcnr6iOaUukJxWBmA+JQhBptYk4KwzBoCoQp9jpxWae2j+4NpWdJi6YYHADjMmqzPQhTJI15L2QMRlMkPvF1Fi9ePOX5TE5fYrHYMZnuJRIJfvH5D3NhroMc69QO2oc+V4Zh8PqwxvU/ffyYoixpmsYDN13Fp0vtR312nTMrKbcn2RJxs8ATIaULtCVsOFu66QnFsOUW4lo/+eNuGAatsRiFNhvOw/go9CfS/cH2UIhAKsXHSkom7I+pKn3JJFVO52Hfj2OVUXCYbOknUobX58M9J5ssY6LJ2YnoS+L5VkaaRvH4fLgMhTbJy+wqCZuY/vzqBuOrLftidtSqEnwuEa/7JfqGPeiGwOCIh/Lc6SRSBtkZrxMmH7tNw5YaorU/G69tDuHkFlIthThq+6grWsjQujZqL6hiX7eKphvUFVuwyAK6bvDm3s2MhJ3kZYR54aUgr28J8fEbP8QX7v7KlG0wOXM53fKsXHbZZdx0000sXLgQVVW5//772bFjB7t378blcgHQ0tLCokWL+NznPsfHPvYxfD4fe/bsYeHCheTl5Z2UdpicHI4lz4qprJhM4vnf3MtVy0rHf3f7VZLb2im1p45w1GTebhaICBZKtTA2NDKMiccHBSvx4mxSveHxRHZnMmuyGrj+n781/lvXdUTRXNw80/jDjx9khiWAJICt04/rCNG/gokUvVd/ifPOO++Yc+5861vf4vOxqU2SDqWtqBihP4S72EWdM0FQlRhojZJjpAfofsFObJsf5xQ+IcfKk93deGQLVxS8PyPchZxOhFl5hJojVFbLeA3lpMs0gIGSQiK9UfIurqe4tQmLCP0pC4Ml5ej2RjwuDSk5TJYnTo/fh2AspDDnFToHM8nNiDCYKMQiG/QOOiktiNDfq+NzxzHU+ciSgC5sYEH1OQDseLkVsa6UqkIZh1XAH1RpH9qIxz6f/r5OXtrlZdGiRVx77bUnve0mpx+nm7JyKENDQ+Tl5bFq1SqWL18OwE033YTFYjETTZ4BmEkhTd4RjqwDJl+qZuDf3HXcigpARamFGm2UfCM+SVEBGBVsTHPGKS630y8emLXWjiFkqIJIu+iZYEZmANFTkCPhnRCIJbFVNUzYdgzzBCbvQ3p6+6h3JqhxJNDLs+kU3XSIHpok36S8RC9VXcgFF1xwXMlBa4Vjy9MCUNnbQ4UeRuweYSglYRV0tINWB3KMBMbcwmM+31T8d3sHmRYZXRDQp1h5OJ0xAGblU6RHmV1lEBas7N138pUVASjo7sNb7CKS0AlrEgldQBYMvE6BeCiJogoMK/n4gy4cthTR1FY0XcTjTDAcdlJdFmZGzQjZ9iEaqoPkFEhU1wo4svaR6X0Dj20RhmGQSBno1SV4nQLrXulG0wx2dW1jNGonP0NiOBijubmZysrKk95uk9MXwQCXKp6UP6suoGkaoVBowl/yGCdJgsG09UXWmFmnruv89a9/pa6ujksvvZS8vDwWL17Ms88+e7Iuj8l7zOk5sjN5T8nOKwWaAZAlAffMUvTWRsTjHocYGAh0im5K9cgEFSQoWLGg05+yIwpgHwu3mqrMZSBlwdY7Qt5YLggDJhw7KDgYFm2cXQ19KTvDHQZZRhIBjjiLfbwoCEgYx6zRd4biBFI6Z+W4iCITikRJKgpBwUp42Uf46Ec+NqG8mb3+zOSST9zJ6Orvk+G0UW5PUl6b7mYNA5ri2chdQzjQGIwkWLZs2XGd+6WXXmL60F5wToyy93rcQUK2c7llZMrjdARGVAs5lgSJQ7r9UFMI13HV4gBhh4OgonDbtu14LBYWFBTwk9pj9297r0laLAQ64iTjCvZpmVTqIag/vK/QicIgPeGi9wQJ9ibASCEVeWlwxRnVoKFoLsGYjkV8G1UX2ddbzjm1exiJONnblc/82i6isQx8boUFC1IYBjQOTqescAOqJoAEdquApsOuToXhfYPknl3IiivSK+Y+5yxcdgG33eAXz3Zzxx13MGfOnJPebpPTF1Wwssd+ckyU43I/u3btwneI79kDDzzAgw8+eMRjDcPg3nvvZdmyZcycOROAwcFBIpEI3/3ud/n2t7/Nww8/zIsvvsj111/P66+/znnnnXdS2mHy3mEqKyaTcOdOAyOtrHS81kSsshyd41+GK7Ip7BBkSivsNHdIFGsRBkUnmiBQXmbDKxj4ZAVZgA2iHVk3cLcNIRQXMSQ6iBoyIuApcRHujqIKAq5CF4neCNMrJARBo9Cq0FySSbTryOY2U7FfCRqJp1gzGCOlqbhcLqrzshFFAVuuzGppFu5gO0ui/WQJKoZhEEoqeG0W/j7tShRFQZIksrOzqays5JIZM3joczdS6pOZ+w/fYl5DA21tbUybNu04r57J+5XZs2fzu0cT3DBjokO3IECtI0FrWS5ap5/VcgF3zZt3XOeeP38+Iy9OfBMTqsbCu74JQPcPv0SJb7Lq4TIUOhWZ4V4Q8n1ofRGksSh/nlovrBuedMyxoM0pZFlzGV+7YimPvb6bfaODzHntde6uquKG4iLu372Ht4aHWZqVhaLrRDWN/5k757D+I6cau6JQ2d/PkM83nijzZNEqeqnUQ+nV4JIMQr0xHIZGppFkWLBx1ljOE7Gxk8SccnQDcnxRhsNOZhS3I8sGub4oeZ5adKGVpjYY6ReZMVtn53YBb6YMhkE0JlOYrdDSt5n+4TlMH2ol6RbZ0qEQjuvUF1vIz5BQNIOv/9df+d73fkxDQ8NRam9ypqMLAsOWyUEoTgiSzIwZM1i9evWEzbYpgl4cyl133cX27dt58803x7ftz3V1zTXXcM899wAwd+5c3n77bX7xi1+YysoZyOnxxTA5rXjqqaf4+kfTZln5y2rQ3mxBfod92KxaC6CSVS3QmciiQBQosqWAiaYWc8phX9jNUECjxKowu0YH9q88JKBWQjNAEuJQK8FYcj1BgBJbgl809hEKBPjMvGrctskzo7sGR/nbvh4urC4gZEgkJCv6udcTj8c5//zz+UxDA6Ioous6b731Fr39/YyOjvKFT30KURT5xT3/gFUP0509j7u+fBevvvoqi+fMoaGhAU3TSKVS4w7Ys6//JKlUajzj+FShZ03ObMKSh7gm4pD0CdsFAQw1xZ6lH+P2K6447vPGYjGs0iHKiqIiaBp1dXX8qXAmJbHJIZFf2NNJ18ZmPjerhKjkYFB0UKjHaJG8dPXpEIuxqn+Ai3Jzqfe4Jx0fVVX+0N1DscPO/Pp68kZHAZANHbegMt2qsKTUTrE3m+9+aCm3/fZlftraSpnDwcbzlvPC4CCvD/npiMdZ+sZqlmZl8V9z5xxWxuWHiVL2wsAAPfEEHyspxjWFwrMvHOGVoaFjasd+GRG7nZQs4x7zVXl2dxddwehR+5Ir6ouZkZcxaX8kqfDI5hZKfS6unX7A989S4KbV8FJgTVFqT0CNSFKX0A2BelFHEtLKo2IIlOXKBKM6bUM+Yon0KppV1vA6kxji3wlRgM2SJC5mEhiN4A/ZyHauZedOK3avzkjEQUnWWfi3dGNzG9hEjSJ/L7f/+FVaeyLcclUDv//bPr70uRnU1NRgtVontcPE5EQiSRJer/e4jrn77rt57rnneOONNyg5KIBHTk4Osiwzffr0CeUbGhomKDUmZw6msmIyiZkFw0B64C2JkNDfvWuTIEC54/C24FaLyKwsA7JEDlVk9iMdYoZmGDCkWNjcF+Nrz6wi02EjoBo8eO7EWcKeUIwtDZew5LJyvIWFXHmEUJyiKHLOOedMcHwfHR0lY/FFDA0Nce9nPkNGRgYf+9jHMAwDQRCQZRlZlsd/L1u2bEKWZ9OJ/oNDb3c7RSUVZNTPYnu4g0WeCIe6ccQjQWbOnPmOMoH/4off4y7bgedJNwxWNVzBbfX1CIJAbv1M2DJRWXmrY5C7nluDTRYZDoX5ZEUlOWNml9l6grxclYWPbSakKDzR3c2qc5chHlLpH7W08FRP2vnx4ewcznM5cSST2Dd0EsTGX7uC3PH8uvQ1CMf47ReuoSeuU7uzFwG4PD+f7zY2EVRVPKJIczRKRFVxH3QNDpaRY7WyMHNiOOL1IyN8ZdduAPqTCb5RXz9hv24Y/MOWLQRV9ZjakWO1MqOgAMucPObo0fFrdXA7Hrpk3iQZN/zhDUYSKf53cws7vvihSTK+s2oHv92SzvuS57axtCwPHUgORFlUc6BsTBNxSjoclMdKNcA1qwxFNVjbuIOKvBQjqVzOmTdAa1c2ut5L51AmuUU6c+YqRONBegcd5GeGSaZk8opkBvvi9ITyqcwzxjPUMyblx1+7gm/+ch8vbxxg6dKlOHKXj0dXMjE5XTAMg7vvvptnnnmGlStXTvKnslqtLFy4cFI448bGRsrLy09lVU1OEaayYjKBkZER5telZyQV1aB3WMM+swxaGt/jmh3AMNLKz4gqs7NTR+/qQRIEbrxwHg5vEX8aFqmaOQfr9EV0vPAk9Td/ifuOwzdAUZTx5WnDMBBFkZtuuglBECaELj00jOn+31lZWVOGODU5s1EUhXvu/jwf/tjn0a05yKNvIngz0QzQDAGLoPPrFiuu2su4NiuLZDJ5TGYQ+1m5ciUNdbXQ0UcCiR7JRe/AIP/wnX8Yf95mXHA5fW//iVzHgZny/Y+irhskDQGPrBEXZHxGigwjhYaBcRzPa0aJHWdZDn2ii8xNbYCBf0CbUKacOAUOkb3Z2WREozjiB0ysRFGkzu3m6rXr+FpdLRcfY5jRk/FGaXOLKNNDB2ScpNe2X3Qxu0rkYMVka8TF2d7wBJkjDfU4RdjerlCR24CqwbT8V1m/IRdZSpHwljJ7ziiypGAYMBq2sntwNkXCBlKqhf4uD2o8SWFmCIdVwCMfWNmzzShl3aY9bNy4kUsuuYQf//jHZB6iEJqYnA7ceeedPP744/z5z3/G4/HQ398PgM/nGw/vft9993HjjTeyfPlyzj//fF588UWef/55Vq5c+R7W3ORkYSorJhNY+eefcO3SDAAae1Ty2ltRDIEe3Uqx7fgjgp0MBlMyA50JssqsWEmRMaeGr+Q2cMnVH55sq3rRRcd9/oMHkPtXTiRJwjAMVFU9qsnE4XIxmArMmU0oFOJ3T/6Vl//+N3Jzc3noySTfXlyGy2EnljTY/peVXPfVX1FUVASAqqrHFb56+fLl7HNCS+cW8sqcLLAl+ZNcNGGFJjc3lw0LriZj+9+wjJmLLS3L478+tJjOYJQLl8yn3hFnCweCO6iCxA/PWcqmtnYuzM2dtFIAcE91NfbsbMorc7iwNBO7kcCPnd55FVg6GqkrKeH/XX0OI6NBPjOvGgAbOtOqRDqlIpxrW/nVWWfx6tAQF46ZaN22ZSuPdHSOKyv3VFdTYLNT7LBPWlUBWJiZycMzpo+bgR2KKAgTZByuHQfLiDHRTG//tdpvBqaTDk4gjykZoiDw1MeW80JjD5fXFU8p4/7zZlHkcVLqc7G0LN22PD1GX9JNpePASsdS3+Rs95GEzkhYZ7jJTx9QPTeXpp48cn1hMvKd5GePEI3LNPe7EAWDZMZiYn17SOXKJFUZLVFEcbaIphu4m9rgoK5K293J+Uun86mru3l21TqzPzI5bfn5z38OwIoVKyZsf+SRR/j0pz8NwHXXXccvfvELHnroIb74xS9SX1/Pn/70p+MOWmLy/sBUVj7APPDAA/zLv/zLeFSqHTt2cPHcA6GAKwskAs5qEooBe06frLA7ugV8gki8I4jusfPHHgc/+MEPTtrH1+l0jq+wvBPb7v3OgObg4MwmOzudkf7Sy6/ixhtv5BufqmFWpQtBEFA1g66lH52gCEuSRCwWO2YzHFEU8RbXUl4jIInpQa+ampyo9fJPfJZ//vxq7s05EOL4mumltIteZldLCIKBr8QFnenBsg2dWUsqWHyE59Mly9x+5QIq9DA6Ghu7rZQPtKHFYriiKvnFFs4pKAQmhkG2oVOkRelzuamHCX4ko4pCg8czQcY/VBzZhONwviz7qfe4p/RVmUrGqMtNnjE5dOrBfiYA4kGrIQAz8jKm9FXZj9tm4e6zJwbUkDFIdQXpLfeO+eylV4i7k1YKbSmimoRN1KnMk8FQcc3KQxQNGkqt+Fa6GbTPor1lCzkZAoJgELYvILfAity9muyqs4iHNQQjhtUfQM7NxdreS65zYsCRLFnh7ZcaicRTLFiwgIyMw7fBxOS95FjD+n/2s5/ls5/97EmujcnpgGlM/wEmxxfhj7+6iZf+/O/88Y9/JDv4DC7ngcGU0yZSmisT3tlD1flV72FNJ3J+lUJluZVUoY9Y0Tx++MMfnnRF4N2cXxRF02/lDGf/x9UwDGRZ5k9/+hNdsQOz/+FInN1dfnbs2DFeVhCE4/YX6N74KtJBz1Jeee2kMoIgcNc3/5W9I+ks9gkkmiUfDVUyFnHyIEBFYLQpwqjLzaDPd8haw0Ft3D7AzmYdAXAmkki6TiClYC/OJtwcOsxR4EQlaZ3sqD7d4+GZvj5CStpHTdd1Vvv9R2j9iUWcmXtSEkAmkCbkjdpPVLDglA6YywkCFFpTNBXVMFRZRUiViKzZC0ByXw/FWenV3ILldcSTBoIxlw0bbcSTEq7YRgb7UjSOzsNiFYkENQr9bgqsCqIo4JYm38XRcJR/evQ1mgcd3H777Se83SYmJiYnC3ME9QGmr7eZCxeOclbp6zRkP05EtTMSmfiRi6cMBlMWtrUp7CmqQTsN8hhKAuRYVPoG/Vx1y23vdXVMTMaV2YOV2us/cS+/eLaN0VCcnz6+haysLB77zU/fleLb23Qgc31CUSlddu2U5crKyvhZIG3b3Se6WFQtjDlzpwl3R8b/HxEs6PU5jHjcZEYih/0oeOJxvHVeBMBen4Hf62NA0ygaCuOJx6ccoAN0i2480cmJLB9omIYsCLwyNISu68xduYo7t++gKxY78kU4QciHVcveHVFBRjIm+vAkkMgtdZAhT9zeXFKDxykgNHZhEw38KSvBXT3ULy9jMKizatcWhoIaCCCJAj7nWbQ3gd2q4R9KkeyOEeuIMj1moScrRlwXobkHWZjYUQ+kLPz7mg5e/MVNrFq1ajxfhYmJicn7AVNZ+QCzYN58/MH0zG5+RoRM78v0jLyFP3TggyqLsGRFIfHGflTtxEQGOxH0jcYYKFh8ShIrmpnmTd4Joihy3Se/zse+sYoHfvhHNm7cSEa2B1U9tnxA4XAYXdcZHuomNjaATwUHx/e/3KkwY8aMKY9NJpO8+OKLKAZkljiI6iLNpTV0VdVx6OPsMRTceoq6MoEhX8aEDPeHsn9PtRYko8FLV0kGPouVjGgUf2NkymPy9RjqWZN9TAC+UFnJdxub+EN3D+UOB3dUVnDl2nXMfu11Prt5C5FjvFbHS9jhwIp29ILvAL/oGE8l2y2m+1cLOkljct9Z2NmKgEDx0goSM6qpOK+KRZdW8NJLAxRlSdjlGbQPbcJtF7FaN5DjFdGsXkaHkswt3Eh1TTMNpRZGS4cpza5Hrioga24J7Qk7ip6OLtZaVotjfhV/XbmHHz87yg9+8APTBMzExOR9xekx8jR5T3C4Xdgy3MSSB0w0sj1RQrEDoxmLLJDhFvE1FOIP6gymLPQkT0xMfsOAhC6gGxBUJUKqNGkgdTgCMYW+gQESick2+yca09fE5J2Sn5/P3/72AoIg8POf/5yC4ln4/X7WrFlz1GMf+dEX2frcfWx95Nu89J3P8dQP72dFwYEXxLb4xsM+mzabjZ9ctYg2OYNkVQndpVUM7hyA3e30pqzY42Ea/SEMw0DCINCVxGukSNisDHu9GIZBSzRKbAplwSDtdB4KBgkEhrHMKEWRJFx1E7NTR5IKawMJdrYZuNe3Tz6PYbAgMwOvLPNwczO3VVRwe2Ulm1ecxz/VVONPJVn6xmqe6O4+7DWKqiot0ehhJxSmakfcakWanUeBno5Q1huK0Rs6/GpOJKmMX6vDyWj0h4im0jKK9ChuI+2X4hv7d1tcosI+ua/qTdqoLJDxOkVKc2SslvT9LLclCcYMppVaUDWRLN9rKJpIY+8WfNIQFkmj3++gs9eN3b4Sp3U2I3v6cXX0oCMw45wimuMOdked1BZJeB0ioVAIj8fDrbfeeti2mpiYmJyOmA72H2BycispL3qTxvZcnKRzD8iSTlKZ/FGeViozo1xG16sIRHQGNreQbz3+WU/DSA92BhULw4pM5txSNB3cDgFNh90bOim1pfDKh5/17BuN8aJSxxXXf/gd5aowMTlVHOqrdM899yBJEm1tkxM3Hkxvby83XVJFbpYbpsOuToWaziYEIe1T1hmIMuv8WYc9XhAElNJSfPk2ppdZ2fVqO3ZRpMSWYkiRueXJ19nRN8xn59fw7Yvmsrg47Wi+oCTFqODigSe38qe2dorsdp5etHBCxnkDeKFjmC88+Rq6YfCvF86mdcly5qsHVn0iSYXzf/MyPaEY11VVcdecOeQGRyfU8eGmJh7v7qHIbueNZeeQMRa8QhZFPllWRp3bzW1bt/HvjU2MKgq3jeVa2K+eCbMz+PAvXqA3keDmkmK+OkXy1YNl/GnRQsK5eWTXuSjQ06tAq9sHuPmpdBK5x29YxrkVEx34I0mFC37zMt2h2Pi1OpRvvrqN32xqpsTr5LXPXYLFKmFDo1d0ERNkXmrvobDIjixMdPz3KzIFi8qmvH+GAFluEYdNoCT7LAThVcryRsAAUYT+RDHxQJTyjHoau0KU5Yi4ZhfS4d/FbKtAlkfEc34Fqm6wrmkTiUSEO7/wWR544AGzzzQxMXnfYfZaH2CmzbyYbRv+Ey1pIWfsGy0IYLcK+EMaOd4DJlbyWEZGSYIcj8guVT5mZUU3IGUIdJXXkEgZZLhE8nwixTYB6ZBMjwWXVLLnlVYCikyeVcEh6vy1y6CwYSF9g366m3ZgqTuX62+8gIaGhsNINDE5Pdlvtnj22WePbxsaGiI3N3dCuUAgQLUzPXhPJBViIT9rXYuQRAjufgtrKsE5hxxzMNFolLMzk2TYXGx9tQOnaDDdGSWhC3SHNXb0DQOwqm1gwnEikGUkWesPANCbSNClKNTJMqokERYs6Ajs7epFG1tp6BiNscRIoQgSdiPtB7I7otEztlqxYWiInEMUFYC3hofHZQQUZVxZ2c/m0eB4HK4u3aAvO5uMGjehxjC6IOCPavSOray+FQvTn5lJWpUxcCRTeGPRCTK2OxxcXiMi6wdWUdZ1+8fbsb47MElZ6Q3H6R5rx6HXaj8r29I5ILpDMXpCMbLPKsHe1Y+jxMNMR4J+I5OzCyd/arNklT3rO/GeV4HDNrEftIkGDpvAUFAjEjfIsemIQrp5hgHZch+azU1hlkhKbaA/uA2PI4XTJtMzvJbRyCIg3Z8XZfXTGP0KP/rJpVPW38TExOR0x1RWPsC43W627BRZutgBjIxv97heomMgE59zCRZ5spmJKArkLihn38YOHKJOmf3I+Ve6k1Z68kspEKG2KG3yABAIaWR7J/ucNFxUhaoZNPdE2dKdwZV334AvKz2I0HWdRCKB0zm1M6+JyemOpmkTfK1ycnIm7N+zaxs9m35DU0rEY0uh5F7JkhVLyMrKGjv+s0Sj0SNGEuvq6mJaoYeepIBvZjHani4AZMEgw2njs/NrWNU2wP0rpl6d+beLZ/FvK3cyKzuPyvNqSQjp+maOhfq9eXYlb3YM0hII89n51VRqwwQEOx2inVI9jDVo5+aSYlaPBvnEpctQggoRp5Os8IHcIvdWV/OjllaWZmVSNcX7fGV5GW+qCfb0DHDVNedT74hh0yMwlgXeMMSD2jGT6TXi2KqLQBQ3LW0OPjNnLr/auZOL6vK5ao4H4ZAwxPvbAXDznIlZsgFqsz1HvVbfWDGb76zcwXmV+dRlexC60sqL0hWkq8zD1ZMDtgEgCpApayiageOQlJe6kU7i2Tq4kaqCwIHEke4sAiN2sqReirJD9ATWYrXqlBeESSkioZidHF8MeHnsGsH/Pufln//VVFRMTEzev5jKygcYQRAoqLiO2MhKEhkSdusB0yuHLUVSMaZUVgAKMiXyL6pkOKKzd20nAgbW6aW4GttxSRpWQUcSoKOyFqskcF7B5EdtKkVlP7IkMDg4ynU3/tN4xlpIm9WYiorJ+5lDg0Ic6nciynY6ktO59dZbUVUVi2Vi2F9JkvB6vUeUMTo6mvYHa6hA3tOO5SBrtLguTmnOdDCX1RZxWW06eSVGnEPG+BR5nTz78fO57c9rqMxM50oJChZsm7rZkJdHfo2Vu8MzuT4vjyK/H6umEZpZQtaaPePnOD83l/OPsDqUvbSaF5fkUfLw/3G5IzqemHE/giActh1uVOZUwpzKYm5dPrVz/8HtOBxHkrGfCdfqIPKMOP1dEKlyTBlKGCCmi5Q7Jvexsy6sQBAg3zcfRX2VWNKCLOm4GSZn7HEYDjtRdSjJSpu09Y94iSatJFIWirKDiCKkFMgsMRUVk/cXDz30EE8//TR79+7F4XCwdOlSHn74Yerr66csf9ttt/E///M//OhHP+If//EfT21lTU4JpoP9B5yGmZfzyyf3ceu/CmxsO5u/riliYEgh2xujy3/kaDmCIJDtkZh9cSWzLq6ivthCclol4YYaBmrr6KyspSpfpnIKReVobN7dS3O4ZIKiYmLyQaC2tpbbbrsNQRAmKSrHSuubz9MWt5PpFlENgeKxRIQSkOidHEb4nXKwz/lwW5xhr5f8UivBlgj2VIry/n5ciQRDPh8Z2zpQjjF6X8xqxYGKCOS57GztOXX5V04kXj1FRJu6zaOqRLKyhKbeyea0kiQgCAJOq0C334dgLKepJ5cev5dw3MpoxE6mO0aWJ44kGiiqSGnuKHmFMlV1AnuHqgjHNL73h+nMm7foZDfTxOSEsmrVKu68807Wrl3Lyy+/jKqqXHLJJUSnCIH+7LPPsm7dOoqKJk8YmJw5mCsrH3Cqqqr48tf/hNfrJX8sO/Tw8DBPPPptqnJfxW69iMr8Y39MqqewzT4eYvEU//d2ig/f8gDz3YfPRG1icqbybhKIGobBL390Hx9dkUWGNwd/SMMpHpjVFwSoqLAy2OYgz4ifiOqOY1NVBMNAR8BT7SFe7UbCoL8pQsxmxZlMkhGLMZCRiT2VwhebPPAYcbuxqCrRuaV4x5zg71s2nY//cTWXVhfxjfNnk+e2n9B6nwxCggW9NAt35yAJferV6aGKKs4qt5BUDFTNQBInr7LlZUhkuhdjkQVKc2eTUgwCYZ1AWMdmWYnHkVZCRcFAUSUMoGfARaY3habIrF27lh//+McnubUmJieWF198ccLvRx55hLy8PDZt2sTy5cvHt/f09HDXXXfx97//nSuvvPJUV9PkFGIqKybU1k40qs7KyuKOf/whwWCQPz/2BWJ1s5lRbjvM0e+ebr9KPGUQim9kT0sZn7rr+ydNlonJmYqqqrz07K/4zGUFyHJ6Nj+ZVIhFo3CQ83q2RaVTkFENYZJp1bthVjWACPrEbPaeGivNHTrJ+nwCRiaJtgi5dS56Wh0UBgIEXS5iNhuFw8NIM3KxolKmDY8v+398bhUX1xRx+aOv8vy+Lj43/zBOIKcJfsFOm+TF2aNQKFjJlDTaymup7GgaL5PSBVL7ummzl1KZL7OhMUVWVyfVF9ZMOJeiGoTjOooK+ZkSVllgNKrjdQoMjHpw2VLk+KIMjHpIpRYhSBspzR2lYziLsJrFJ25abIZeNzkmRMMgQ0melHPHNRVNkwiFJvYNNpsNm+3oY4tgMAgw7rcHaf/VW265hfvuu++w+aZMzhxMZcXksPh8Pm654/c8/+TPsElBakpOrK+IYRhE4gYj0bUUZoeIxxNs3pPgo4kEdvvpP3tqYnIqCAQCbFv/Mnm5ucQTKfqGFa6++uoJZcLhMM/8+utcuLhsPDTtyg0d6AUfYsHn7uDNjRsp2PRranLTTvlzaiQ2N3uoOkSxOF6OZRycYaTIqfBgW99I0O0mkpFJrhEmu1Jgq5RHToWDSj3CbiMLlwBF2uScJ3luO+UZLvYNhegPxyjwnFy/Nb9gRxFE7IY2HlTgmCnJoLAnjKXIS2e/iF0XKWprHje61g1oLq4m0yUQiq8FljGn0oK1bqKiYhgGK3dupyJ3OikVMtwiug5bWhTqS2QEwGU7h2D0DSziYjwegeGogChAZcEwb2xI8dGP/fhEXA6TDwB20cLlmdNPyrl3Otawa8cb+HwTczE98MADPPjgg0c81jAM7r33XpYtW8bMmTPHtz/88MPIsswXv/jFk1Flk9MMU1kxOSKCIHD1TXexZs0aere9wPI5mSfkvJpusGbfBrbv6uOjl1r4waMWbv/HX/KDS8tOSaJHE5PTEcMw6O3txe/34/f7efX5R7nwLBcXnF0L9BGRkqzbPNmPJZFI4I+FWdVWTEG8AFEUKVl01fiq6YUXXkhwwQJe/PE9XFYmIY6Zg3W1uynRI/xyQyOPbmnlk2dVcevCyflKtvePcM/fNlKe4eI/P7QIp2XipyOmqNz1/Ho6RqP86IoFzC6Y2E9kGQl+pof488p13HxWDeflVSNhMKPMwKaHEYCQO8I//vJlKg4j4zfXLWXOf/6Fx7a18c0Vs/jC4snOtv/zLtsRVVQ+95fNdPeN8G8N08gqLyez6vAyPrewniHRjmwYZIwpNW0Do/zb46/yn3dcxnlVEp2NUWz1aSUxPKuennWdzCiTWb17Gw0lZ6NqBlNZ/hkGhGM2VM3AENaxs2Mxir6VRQ0BDANGYlk47C8xHPDRF9iL25EknnTidiSxW8IsvPx3FBQUTD6xickUGIKAYveclHPrso2ZM2awevXqCduPZVXlrrvuYvv27bz55pvj2zZt2sRPfvITNm/ebK4cfkAwHexNjomzzz6brhAkUxqJpHLMx0XiOu0DCo8/v4megfQsrmEY7O5UEZROdnVP54lVi6md9WEqKirMaF8mH0gikQh/e/Zb/L8HrmZk9+co0v6JWRnf5ZqLkyyYUz1ezm6TUeKjbHzzebrat7Duref4+/M/Jzs7m3u//r/cfPPNXHDBBaxYsWKSeafP5+Oqb/yS5wc96LpBjkWlvtpCl+DiW69vp3Ukwrde346mTzYN+9nafewZCvJiUy+vtfRP2v9qSz8vNvWyZyjIz9bum7Rf1hT+87UNdI6E+X+vbxmXYUcbD9r7uzU72XsEGas7BlH0tP/N997czUWPvIyuH/DH0XTjXbfj5ZZ+3mjspDUc5rft7WTVTPSbO1RGQjfQCjPQijPpE12MluZzdpGVv953MXNzJSQBKusPhJj2r28nZ14puzpVaor99I9obG1V2NScYiioYRgG29rG/FBEgfyMSkajBh5nEq9ToKbIjyQaCAIkUzKGASU5QfIzw1QVBqgp9pPtjaFrxrvyfTIxOdHsj2J48N/RlJW7776b5557jtdff52SkpLx7atXr2ZwcJCysvRKsizLdHR08OUvf5mKioqT3BKT9wKzNzM5Zj76ifvpd3+ESMFneGtwIT98bNthFRfDMNA0nT+vauXSz/2KsGsZX/7Banr8Crc9/DaNfb38z3PV3HrrrfzD7V/nc5/73ClujYnJ6cO6deuYWbWPT33MxWg8bZctCFBZEGBg9EBUPlmW+Mfrsvj5f/6A7/3wERI9P+Ssoj/xxBNPHJMcSZL48D//gL+N5mIYBnbRIL/cyfVz06sQi0tykMTJM5XnlKdDDLusMjPzM8a3748GNis/A5dVnlB2P9taBXotXhaW5LwjGfs5WMaDF8wmx2lj7s/+SigxFulMFFj8LmXMPUjGnLNq8B1iAnawjIvrStlrzUXqG6XBFWdOrUydM4HXJuIbS+i5NbeGwfo6UrrA+oy00qlo4HO/ga4LxNWtjER0sgt30eFfjyAI5GdIDIxobGxeS0mOhChtxWVPkel9+aB6GEwvH6A7WkZXuIyCzDA2i4bXmSQSVXn81XreeOONSe0zMXk/YBgGd911F08//TSvvfYalZUTcyDdcsstbN++na1bt47/FRUVcd999/H3v//9Paq1yclEMAzjqB6WRUVF9Pb2nor6mLyPMAyD9evX8+1vf5u9uzdTN20un7zhUrbvauLTn/8ira2trFixYnz2pKWlhS2bVrFg0QVUVFQQCAQIhUKTOiITkw8aP/nxd7l86UbiQYOi7AN+JAMjbsqyl+FxHphX+tu6ELWLP0ZpaSk9PT1s3ryZGTNmHJeTqWEYPP3Ql7iqMB0RbDAl0zKiUBkYwSpNPYfVNhLBZ7eQ5TgwG3rbn9fw39ecDcBwPEkwoVCZOXE1QkVgfZ+dBXlR2obDVGZ5jkvGwRwq46/7uvnW69tZd/sVAKQ0/YTLOJT9MnKzs4jKdubUps3y+mrrKGxqBEDRwSLC5uxqbJ292BtKaNwyxHxPhIHSciLJHZSWiwiCwXBfkoGgh7rCBmqK0orScFhPR3JzvAYI2K2TwxsnUjLNvTnMmKEw0p8OYwywbusoZ1/zIo8//jh33333lG0wMTmYNWvWcOHV1/OhR988euF3wJ4nf84cbYDf/e53x1T+jjvu4PHHH+fPf/7zhNwqPp/vsOkMKioq+Md//Eczz8r7EEEQKCwsPKKeYSorJieEVCqF9aCIQ8fCoZm8TUw+qOi6ztq1a9H7H6SvfxSPC2JxjV0tAlVz76Gv+S0+uiIfXbAScF7MggUL3rVMVVV55Tuf5fyy9KC9NW7D0zmIdBwRwg5WVt4rbvnjm6i6we8/es4pMX0aKSsg1B3FV+KkynFg5aUtbiNpiEgYSIKBWlvGaGwLBRnzEIDuwDbyM2axq7MVWdI59+wghgFr1nvJ9kbxOeZikQXKcmXCcZ1gfBU+V4JAyEmGO51PZT+KKtI+kEVFdXoFrrdDpSxvlEf/HMaeuYKPfaSerJLPnPRrYXJmcLopK4fzQ3nkkUf49Kc/PeU+U1l5/3IsyorpYG9yQjheRQUmZ/I2MfmgIooiZ599Njt3/oDFH5pGMpnE4XBwlaaNvVsf59n/+x+ysrI5d/78EyJTlmXOuv17dP3+XkoznZTbk+wrKcDXPYiDIyeEBVB1HYH33rn1dx9dxjWPvU7p956m5ysfOeny4t1h6qtsOKWJJmJDhSUsmWZFlgTaBlQE1aCheD6NvZvQDQOndS7hOOTkAsk4b6714quejde5HqusMRzdRlVhgJa+C4kkDIpzFTRdIC5mE49BtqUPh02lb9iD4PBRVpmkvduFRQmSX2rltbc0brr1TxQXF5/0a2BicjI5hjn0SbS3t5/4ipicNpg+KyYmJianAYIgMGvWLCwWC263G0mSJkwCXPuRW1l+wYdPaPSb/Px8WrPSqzSSANNdcSKluSSP4dMwHEuN+3e81/z5E+djAKvbBybt03WdJ7a3c+uza2gKpE3sYimVv+ztmuCgf6zk6TG2tE0eTM0baWH137vRdIPKfJnKPJlt7dvxOuPYvC6GEl1omkFvrBq/NJfiuXOJxTSy8mVcWQ6CjgVEohdisb6J27GGiJBHImUhnhQpyInRNZTJUKqIsiqJmvIQ/hE7lZntiJKBQx2kO3yOqaiYmJickZweXxoTExMTk/eECz5xN29+5xOcXZYOW1rnSLBZdFN5lBws/mgCr21yGOX3itsX1nLzU2/S8U/XTTAH+/Af3mA0kcJtlbn+96vw2GSG40lA4JuvbmPLnVcdswwVgb7iQhY64yR0ARGwigb9KQshVaJkbgGBsI7PKbCpZRNOm44/mU9BTpyO0DRUTaUuZy8p31yah0J4DAdq9kL6BxW6AyESLicV3lxCowrOeApV9+KXG5huX8viRUkEIe2Xsq/NR769G1mCsrxRnnrZwd33fPMEX1ETExOT0wNTWTExMTH5ACPLMtL0CyGyHkj7QJSVyXz3iRbOKXBzbkX+pGNUXefx7W10jEZRdR15Cl+R1e0DrOv2c/PsSoq8k8OR94ZiPL69jcUlOYeV8butrQDcMrfqqDL+5YI5PL+vh3N/9RKr/+ESRFGkczRCoz/IL65ZMqWMs//7Beb+5/N8aWnDUWVcPmcaOQ0lzHLGEAVQ9XQm+pbiGvx7BsmxKPicArlekY4hjYqCYayyRveQSkp1U1blpH/bFoorUuzxaziyBFq2Rki4ZHyGg6WlrSQUmVG/wpKFMZIpkZ5BFxniDjwulUhMRtMFRMFACYeQsw+s7ngKP/KOTHFNTExM3g+YZmAmJiYmH3AWXf1J9vWHx3/n2nSq6/K5+ak36Q1Nzij/u62t/GZzC6+29o8rFAfTG4px81Nv8sO39nDH8+umlHnH8+v44Vt7jijj/pe3cv/LW49ZxoYvXIE/mqDke0/TE4pxwW9eZiShHFbGrQtrGYwmuf/lrZR972kefHUbPQeV+9XGJm56cjU/fGsPX3v+LTItKvsjImsI+BULvvYOVlxWzEBuiN3d29ndqRIIb8Aqa7gsl5PpiROLy4SDKpWVGl3tQKiZeMjAlyciW6G5J0I8KZObGSdh+Ojsc9PS7UXNWogspZWS3kEnzfsEmvaKSC4v+y3Yvv3fcMMNN0x5jU1MTEzOBMyVFRMTE5MPODabjfYZN1MfeH58261LSnhjUz06oCBgOY4oYe8l++65lu+s3MHCn/+NPJeNmHL0YAEAty2opSccY+HP/za+zWk5EBttV38AQ9VgbAFjS2s/riULULFy7Yd/SnAkwk0fOY/BwReY01CCa4WTv3Yr1HrOpbJmK8HIZnbtsSPZPKhl+Ui6QZbNgTUsYHNFyZ6+kHjnW2Ta/AwJZ+PKk9jZOkxJxjyq9ZUE/UniSStJRcYtWRgajvLrP0X56oO/x263n+CraGJiYnL6YCorJiYmJibU1dURfxMcY0H6BAF+9Pnz2NUNSp6dwt5+7GNRwm6ZW8WqtgEKPHZumVs16VxFXieP37CM9d0Bbp4zdR6ln1+9hMe3tbGoJHtKM7GDz3u8Mu5fMYv7V8yiLxznse3tLDt3Fo6SHDq7I7gNhayxZI+HyjjYDGwwkgBgTzhFTxIefHYllXf9D+dNK2RFQyH/+sxmynJWYvN6iAaj3P4P1/EvD/8vD913Pb/901t89bvdfOdrIRbd8CHe2iujqjpGZg0hKYkUAV03SElxiqxuMASG/SodvbOYU7oDRd2MNfNs4jvA0PciVIPD56AiO8Hu3SAkk4SSOdz55R8wc+bMKa+viYmJyZmCmWfFxMTExARFUfj777/GxUZwyv3rmw2qteB4sOJ/e3071zaUMqsg86TXTQdiyLiZnBzxcESR8YsOMkudlNvSyokgwKgqMZSyIAqQ6gqSECQ8YwpMn+hERSRbT+BEZUB0oCEyc3/ix2CMy/7f3+gPxviHW67g0x8+mw3bm1g6t5zG/nbKc2vpG9lDMGZnuDfMF77xOF2r/oVdfe2MpjIJCFn4rHaa7HYWuzSsNgF/Wwc5VeXkspWdTVlcd1EH63vOo6krhDdPpCLTS0ZyHdG4hdl1I2iagAHc+IUIv/7NH8jOzj4JV9zkg8TplmfF5IPFseRZMX1WTExMTEywWCwMjhrEtalDI8+tEukRD2R1DyUVcpxTZ4E/kWzIraCnqIiO/CJaJO8Ry8aQ6BA9BEoLsFZmMqdGosKeRBDSigpAhqxR60xQ7UhQXu3AUeyB0kwGBQcjednMqZXplVx0iW4cpV5m1lrQDdgTddBSPINXHriJgf/8JB+fWcrArn6m11UjSFbm13aRm/kausVFeU45JRUzEEWBx/6yjeGwC8pyGRTdNDmdoIM/FaOsysGcFfXogUbCESsVRSFkSSdb30RdqRe7RyCVNDAMgYj9LFKKiCQZyJLBV7/yT6aiYnJG8tBDD7Fw4UI8Hg95eXlce+217Nu3b3y/oih85StfYdasWbhcLoqKivjkJz9pTqqfwZjKiomJiYkJkF5FH6iumbR9b8xBTBeJCfK4whBJKWQ7T76vRIl/ALU/Qp0zjltXpiwTRaZd9KCV53BWrUStM0G+VRl3hj8cTklnmjNOjSNBabWD2a4YAUVmeqXEnFqZCnuSoCrRHLcj1BZTMNhDsKqSvwd8CMBoZhSvS6Slfy/NwxX0BTxMz68gwy1x0Vw7H7q0js07O7E6ZJ5fFwJRYG1LKxiQJTvwDyqEgxpSdj2SbNDXJxGMWGkPz0GSwRN3Ygluo19fQKayibbutLI4OJTEl1l6gq+0icnpwapVq7jzzjtZu3YtL7/8MqqqcskllxCNRgGIxWJs3ryZb37zm2zevJmnn36axsZGrr766ve45iYnC9NnxcTExMQEAFVVUPf0gGPi9npHnAHFQlbRWF6VrhC6YWCVD8x36UBYsOIzUsSQUcuz8XZMTtJ4rOwtKKWkv498I85oqY98awKl3ENnp0iBHseKThKRUGkeTlFnnj0FJI963sPhkqZOECkA7tlltA1tx6VlMdCvoBoC3QU6Fc5KJNFAEjUCgxK2rPns7NiNRaojpYCuerBnxFETKay6i7/6XVxZXEa5FMKT4aW5P8isqgzyxM1U1EZZOFND12FByXqaY+dQ7liPf0Rhfs0byLKOJKattpdf10RTU8M7bquJyenMiy++OOH3I488Ql5eHps2bWL58uX4fD5efvnlCWX+4z/+g0WLFtHZ2UlZWdmprK7JKcBUVkxMTExMSKVSZFpGKFxSwcCGFvKtB1YxBAGGoirB3jAz610MlRYQsTtJIDEq2rCXeOhuGqa6zkdbVwIJA6MrxsFGWylNp204TGWWB6s09aL+rtEEot1JrsNK0J/CU5zHCFAgpetSYksRyrMzMChgL3bjFHXqbIlxE6+TgVfW6NvWSdBrJ5adh4BATnUWcWUfcmsPgWkJinODjASXEEh1MWtmkt27Gwkn48QTg9iTLtzOFHNy7ISDzcyQ88jMdFNcascZ2UaiU6ShOobDpo1f60DQRmGlDaNXILvQwksrfVxz2dB4ne6+/ZKT12CTDySCYWBJhI9e8B0gqkk0XSMUmpho1mazYbMd3ZQ0GEz70WVlZR2xjCAIZGRkvKu6mpyemMqKiYmJyQecLRteZGjfa1y8qBCAXlWaoKwAjMZSfObXz/LENz/JTF+SLFllUHRQUmEnpmpE7BrFdoXi2nQ4saGUTF+HRo4eJynI3PLkK6zrGmJxaS4//MRV5OsxUoJESLDiKnbT4x/F4bGTUDQcuU4ud6ZXSVQD5IOUkQavxnZNot6ZOCXXZmtuDbHgANNLSugb3UFLaCZFWQKjiodk1QB51oUEIiE8zg3IYhbBsI0Llgdp7XFz3opZ/PH5vQxFMlk7EkWWIBCL4xP66O9pIMOhMa1yGIDGdi85mQk8LoUhYT4dG4c4a9pSOlriXHPZ6gl16umNoOs64hRJLE1M3glWQWC+2330gu+AEauNXZt24fP5Jmx/4IEHePDBB494rGEY3HvvvSxbtuywke8SiQRf/epXufnmm/F6j+zXZvL+xFRWTExMTD7gZOZOI9mzdvy3a3YZycYmbOKBYJHRSJjeYJQMOb0CoBsGc2tlQAULlNVNHCTkWlVaBCvOMg9uSeN7t1/GSFRBVVKcVSPRmczBLWpUWVUgQW3ZAf+XlG7Ql7RQaFMmKCqQXnmYk/Xul1JUAzrKa4kmDLxOAU9TG7oBYU0iUVWKKIBugK+1C6XKz9B2jTnnzWV05z46Rh2MpIpxy0FicRWbVSCg55KMpJDyRBo7vLSMziKjOkpk5G2CiUzqC+x09vnJtNsRs+rQh3ZSPzc9Y2wY0K/PRwpt5JU1xThnRqnIdREcUejojcLcA/V+vXkRN9x8iamomJxYRBHJ6Tt6uXdyaqudGTNmsHr1RKX7WFZV7rrrLrZv386bb04dqUxRFG666SZ0Xee//uu/Tkh9TU4/zN7OxMTE5ANOaWkpW1sax3/n+kSGlYlzWZfVZ/GNDy2nsdcgpooIx2B7taQGKh1Jcq0qiwptXFrj5sqGLPbGHBRaU+RZpw5FrAMW8eQkoYxqIkFVoiVuJ88nEojsxSqDQ9TpTtoIlvmpzJdxtnQyp9JC1YoqFGU2m6U8egMaDo+FLHsAZ0qlrFyndtp2PNl2cjKT5BdB2+g0tnRMJ6jHyfU4cLks/PCnv6ajz09ZSR75RVYqa5343KnxOgkCTM98m5QictmybmpzMvG3tBEOalw2u3FC/b//b6uYP3/+Sbk2JiYnC0mS8Hq9E/6OpqzcfffdPPfcc7z++uuUlJRM2q8oCjfccANtbW28/PLL5qrKGYyprJiYmJh8wDEMg0jMIBxLO5m77CIxXZpU7p+vqSW70EmWVeOdrm1ENRGhpojepPUwdYGepA2XOLXDO4BmwGAqrUztiTrwK8dmJNAStzNSV8NAeRWxsmJiSYPKvAZaB3bSWFBJojgfVRPoGV5Nf/EI67r2sHrPVqIJg+GEzo6ODjI8KRTJiyDCY+tm8Mc3G2hrk7DIOo1NNsp9+yj1tiJIAkrKYNayy9AScRYWOpjl0Rneu4sdm8O0drsJjB4YrOVkJhmW5jHsughRBHtuBZGwxqEq27nnnntMbTUxeb9iGAZ33XUXTz/9NK+99hqVlZMTy+5XVJqamnjllVfMMN5nOKayYmJiYvIBR5ZlLLJEIHJAQZCnTw6NKwswzx0BwJg0jE4zleIQnFk//v+muAOLRSCuT63uDCoWbDPLaCupoj0+tUKjGwKKkf582aeXMKoekJnSBbbn1RDTRHpq6sa3dyetuOaUUVUgM7PCwuJ6G6HE2wyFt6AbAqU5MjG6SYoZxMRsRiM2MqUBUqlp6DqcVTaAkFFJaDhFMpKgV9FoiwQpynUwYK8kHLVQUqJitepk1s4mz+5ifc8wf378j3zy63fhkuz4aMGXLVIhr6EwL05OZpJ123NJJEUMA+IxHbH/DXZ0DiP4d5BnbEXXBTZssBGJyQRDChdesHjKa2JicqZw55138thjj/H444/j8Xjo7++nv7+feDwOgKqqfOQjH2Hjxo38/ve/R9O08TKpVOooZzd5P2IqKyYmJiYmXPfxf6ep/UDEKVkUUKfQRyxjXw3hMGsrbkmbtM23M53QLaRK+CSV6K5ehhTrBFOzgCLTnrCRb1Xwb+1meM8AKWNqGRbRoNiWHpQou7vQxpI2NpfW0pm0kZchsj2rksy9zUA6a31b3E5RpkhK0dnSnERRDWaULmdRzUKq8mdSmCUxu6gSXQeHXSWesBHU87DIe8HWT1ArY07JDoblWbTEKtk5kiApa4yk4mTKdjRdQBBgze4aRodVos4YvvAImqrx6m+fIKXG8MrDROU64imZHGs/e1t9DA0YDATSsaIvalhFW3Qhc6x7ibunU10UgNgoFfnDDAbs/PqpDJacfdFR7qSJyfubn//85wSDQVasWEFhYeH435NPPglAd3c3zz33HN3d3cydO3dCmbfffvs9rr3JycB0sDcxMTExoaysjN05F2AYuxEEgZIcifZdNsrtx5e7xH4EX5OBlAXrjFLsO7uompPHlo2DXJgVoqmkFt2APJ/A5nXduKcVUeoVaVvfQ0hV8UjalOGJ45qAOK2UgkyJTHe6gF5ciW7AjrUDiBkGw9PraR9UmZEns6FJIRTTsVsFtr/aQeXSMiQRqgpkDMMgxyPgDowQjrjRfFX0KyIeexOF8gCu6Cj9xgIyhL3ssVRTVu8DA/r8CcpyJewWlfrKEMNBO0WlMxjdZmf2ReV8pezbVKlb+fF/PMl58xxc9NElTJ+m0T+URXgwQWluhJ6BLEryo0gSzMheQ7d+LvU5G4iJuYSiSfxBN/POilA/6zPHdS9MTN6PGMaR/dUqKiqOWsbkzMJcWTExMTExAeDiiy/mI197k8FAGIssoB5mZeOdYBggNZQS3dmNOK2UQGQzWRaV3qQVUQStsRvdgIrFpQyEdpPtkVh6WTntRZV0VNbSUpZWaLoSVlridrZFnAzW1FCcLZHlSTv8r2vawN4elUBYp9KRpKu8mmBUZ3qphaa1Pbi6eynKlqFrELuoIwgGdqvAmn3r0XRIKAbByGyUaJyIkcThkJDyprNjaB4Wt4NwUGNNsAo0g5n5URZNi7Go2kKpcxu15WESSZH2cC5D/Qpb4hLulJ1iTxKHxc2PvvYpDF3nJw89zNBQGK9boW6aBnYvDmOE5s60c3CWL0lgUKE3NZea8jDz5qdYsjjO8uu7ufTSS0/Y/TAxMTF5v2AqKyYmJiYmQDpiz9NPP81r7bXp3w2T/VbeKQOKhY6h3RRaU6h7u3C151FqTwEG1sYOvLKG1ylSkClx4ey5WC1pRWlBrZWaQpmaQpmOilryl1ah1vagVw6gG7C9Ywv+kIZhGPgcc8n3iXidAtMvqsJuEcn1SVhlgZrFxdSdV8FIRGPAm0AQDHav7kEUDEqy5xFJGBgIFOZsJJqw4Qn10d4foacjydzyRhbNHKKtO8ocWxc4ZYbaNfr2qQiiwMahGpKKyB/enE2Dp5n25jhLZyXwJ+MUeJ3U1abIyVzPnV+YzedvXs4nvtTNT/57Oz6PypxpIxSUWqirSCfM0zSBC6at4sJpq9A06BtyYBgGn/jEJ44p1KuJiYnJmYaprJiYmJiYTODyyy/ntY19eJ0iAUVmZ37NhP2qqh931vgsWaU4q4H+lJWkLlJmT5JjUSmyKZTYUiQ0EbtFwDCMSSYeoihgkQXqSyw4bQLDESdVhQGyfS9TXzrASOwNGnsUwonNhOIGTpvIa3/rorpQJqUarG3cwu7uHditArVFFgqzQiQ0kcwZhby8JUnfsMbavSliSQP0xXizJHJyddw5IqoKu/um8Yu/nEVVqZPQqEGhESGXITJkO+uCErN8rQwF7Jw/rZlA2EVYT+HvVPEYdvqDMUJhC33DbtRQmNm1CR7+ylyqK6xcduNb7N4bojA3Pn49/77jHF5vOo+3Os5ncNjBvtHF7GrOIC8v793cUhMTE5P3LaayYmJiYmIygYyMDOqXfxELCYYrK+nfO8SIciCU8UAohtcxdaSuw2EVDVzNHfSlLMgidFfU0BizM5iSGVYl4rrIhpc7GQrpR8zh8rdNu6nMHyaSsNLj9xEYvRhVWUaOV6KuaBGyaNATOODkr2oGAhBLWtA0nXjKIMcXxagupmW4i7yiVkZje/G5t9Hj1/CHd5AMJ3A6NNyBfjw+kYScQLYKeKJbKC9VKLX2YxgCUryLubYUmg7t7RI2NYBhCGQ77Hg1B8LwXhYXNxPwG4CAP5VHXMyhqFTgszdX8H+/Xsy3frCXf/qXHeh6OhKbKAqUWDczv2AVomCQmS3zl7cFiouLj+t6m5iYmJwpmMqKiYmJickkSkpKeG17gsoCiezaHLzyAQWgZzRKlvv4TZKyrSpZdXnMOL+c2iIZ3RDIXlpDlqwxyx1jnifK0PoOuvzqYR1or1wwnVB0BdHYeUwrXkp5nkRkdw+9wzoYEEvByOYOwlk57OpUGNjUjds+E6ctxapd2xgMbSSs52CVBSKUEnfNwjAE8jKihBK7sco6/ng2ZYVR1EQSW6KNbr+Vgmw7Peoc9ESE1nA+hblxJNFACOwl4ZxLRaXGcNjJ2dPbKHbtIzu1Abc9yUCvgTtDxiJryKKO26WgqiK6DiNhH0/8chHnLM7h7Gv2sGZDgPPq3mbQWMA2/wq69WV4M2Ry83ysXLnynd5KExMTk/c1prJiYmJiYjIl08++CbsFppdZ6Kyspa28FtWA7kCUwgzncZ9vIGVldoUFm0VAEkEUDKSNeyeYlNU6E3h2N7PjlfYpzyEIAjPKZBpK0sEs967qJN4fpaqrieiGZirbm6hzJrhQaaeso5lZ7hi5XR3MLp/N0mlziSVsJEMJogmdBVU7ccS24bYn6BzMIPP/t3ff4VFVif/H39OSTHohkIRAaKEXIVQJJAFEUBBExYaCWGBBVuyLugK6igVF1O/yw9UFda2gCDYQJUGaCGoA6SWhhUBCEtInk5n7+yPLrDFUhRDC5/U8PJq55557zp2U+5l7zj3hFvKL7IR457I/zU3n2P3kumKICnVis5mp45XGvpK2tAnYjlHcmNaRafjbHWQddnIkw0V4UCFphxKoZ8+gSWQ23tbWxNbPJszWCICYgOYcPlhOflYpB4/4Yra4cJabaNeuOXNndObN/+xl4uPrcRsu6kV5ExZuw2Qy4RdVlxkzZpz1+RYRqQ0UVkRE5IRat27NzPn78LK4aVHfRmyUlYymzdlk9sW7ZXPSYmIpdplxGbC5yE56adW7LXnlFrYX+5AWE4t/x0b4eFUkk+0Hy2no7WCZT5Mq+9hMBqVuM6l7yti638mOg85K200mExaLiX1Z5TTxKcUMGJgI9yr3BB8vs4H3fx+jXM/mZNvqg+xenkanph3wsrYlsO5WrBY33uV5uL0CadzEza6jrYiKNnAEd+BwXgAZR4PwdezEUQRlZQbFtqb4OdMx0Q5v75/JOuZP44gc4usvJq5pJwB8bHAkN4CDR/pRN9jMtv11qR9moUVkR/Yf/Rlf22VYrW4ys3w5kA470oM4fNROybFyHpjQh85x7Xjor7NI/nYTAIczHDjKivnPf/6D01n5PIiIXAoUVkRE5ITMZjMPPDGTL342czi7ALPZRLNIK66yIrq2CaV5fSv5rZqxo9hOy8RG+F/WiJ3FPjh+szr9UaeNRj0b0SLaRmRoxbyXsnIDy/Z9eJkNOhXurXJcm9ngMv8iWh/aRdN9O3Ft3c+xIjdud+WhYRazCZvJoGszE16nWN+l3DDhjq5H3a4xeFnhyLFdpO5tQ2lOeyJCCgDIpDtNQraRc6Qc95Et7Hc2xM+7E97WcmL9dhHs3IRf0QZax2QSEbqGQznB2Cwuso75YwI2pK8nLTOMltE26gbG0SDcQp1ACwlt2hIeZMFtWkrr6C74eJkI8iulaWg6sfWzCfRz4kcOXoF+ZJZ34K6brbzzajdWLt/MX8f8i52ZWexN30dCQgI2m+0cvKsiNdu0adPo0qULAQEB1K1bl6FDh7J9+/ZKZQzDYMqUKURFRWG320lMTGTz5s0XqMVyvmlRSBEROaXrb3+QLRvXsXXPHsKiWtEyzs3uzH10am3QMNxKw/6NAbCHWYjs15jNe8tpfnAnR51Wwm1OihwGAb8ZNVbiMLCbXZhNEGytuuL97zW1l5L54272l1twY8K3bQPKN+/FjQmbvXJIKXaUM3jur/gGhvDR8MZklHlR3jSazpEVf+58vc1c2ak1K7ZsIL/Egcvwx2px09R3FQcL7DgtATSqdwhbtovsAiehAeVgXEZogJldmVsxG5eTVbCBRuHNMFnWUljiRebRK+jUxIr3fx+3HORX8Tmgs9zA8t+PBP28+mOzmsAAwx6MYWRWvO4+jF9dyHHZ6dtwOccKbRQHdOfvT9vYvu0gj/3tfbztVv52pwWRS8Hy5csZP348Xbp0oby8nMcff5z+/fuzZcsW/Pz8AHjhhRd4+eWXmTt3Ls2bN+cf//gHV1xxBdu3bycgIOAC90DONYUVERE5rdbtu9C6fRcA2rdvj2EYLPvyHVoGpRNVL7BS2ewCF7aYWIL8zGxak0FP/8o38Y8Vu/E9xZ2QE4nwchLh5cQwoGzXTrztVfffd7SIn6KvYeUPc8jMzGTP+tmEh/ricsGBbBc2q4kmEWa27ncS5FuCLcAfd6mTEFsW6bu9+TmvKeF+PjicWdisLjBMRIXGsTfrF0L8O9Ettg2hARYMIw7DALO51ynbbLP+7w5ToG/FOYitb2X9LieH3eH4+5RRv84xAI6XzM71ITiq4k+zxWLjttE3sHHVQby8zu7payIXq8WLF1f6es6cOdStW5effvqJ3r17YxgGr7zyCo8//jjDhg0D4O2336ZevXq8//77jBkz5kI0W84jhRURETlrJpOJvoNGsm3bNg4e/oj6/w0sLjc0j7IRFVZxJyDiqoqFJbcfdFIv2EKwn5mG4Va2N21C4N6df+C44G36X1ApKStn5c5s9tfryvWjxnJTeHjFcSMi+M82P670Sadt/6ae8lsOfE+QXw9yCuKwOddgsRmEBRZjMhl0Nm3gSEld6gQVYrIHUJxXSv1QCxHBnTmc5+LQTwewxDckyM981uvMHGcxm2gd3QVHucGhvNUVfXBY8fKtuMPkLDdjLjfYsyuDiKBrePCeONx3uTGbNWpbziO3G1fxsfNTdVkpLpeL/Pz8Sq97e3uf0UKnx45VtCs0NBSAtLQ0MjMz6d+/f6W6EhISWL16tcJKLaSwIiIif1jLli1ZdbANEa69WCxmVqUeotSrEet35hAVUEBUZDg5P+2jvGk0gfaKK/xDOeV/6pguA5yGCS/cvHGsFf1H9GdA27Y4HI5K5SZOnMiKjx6q9Frr6N5s2reCVtHxrNvtj9lkUFDizaGjQUSGHSPYloOft5PC4hxiontiNpvYlbwbu9lNB38nO1en4+gSQ06hm4iQivAFYGp+P8aOGRQUlrJmYyalpjpEtR5AgK0Iw3BTVHiMgtzDpG7agcNSlzYNIOdYMBtx4XYWk5SYw+EsSN3fnoOrdzPwittp164dgIKKnHc2C3So6z4vdW/2N1j302aCgoIqvT558mSmTJlyyn0Nw+CBBx4gPj6etm3bApCZWTGEsl69epXK1qtXj717q86Bk4ufwoqIiPwprTv15ZUZ9zOkd0Oi4u6mefPmAJSVlfHRi4/QLtAgev8etlsb06qhNy43eO3YC7/5UNVtQJHLjL/Ffcq7FkedVo41a4y/j4miUoOYol1s/eEYu9e8ya/ppUx+/k1P2YKCAhpFVh2/3q5hxfCt3q3jPK85Ywx+2PEzgfZ2lDiW4yrvTuh/h6817NWE3cvTqOflxGyCAz/uI8LLSVbzxp6wsn79egoyA2nbbQT9O9Y56cKWSdecuF+HDh3Cz8+PPmFFREZGnvwEiJwHJrMZv8Cg0xf8A7y8fWjTpg0rVqyo9PqZ3FW599572bhxIytXrqyy7fc/Y4ZhnHJBWbl46eMaERH5U4KCgnhgyr9ZfbApgYH/m7/i5eXFLX97iczYQXxc1p6AJtfwbnIpR45kk1v+v8/KHG4TDrcJ+ymCituAXSU+uNs1pWW0jeg6VmKjLPgH+OEoKWDuol8Z+ZcnPOXLysr4fM4kIsIDuPvJBTz2f+v58vvdJ+2DzWqiV+s46odZyC30pU2MDbO5ojE+Xia82zQk12mh1G3Cz+yi/j2zaBphpSDiTr7cEUv7Ns1JGnQn4eHhf+iCKTIyksDAQAUVqZUsFguBgYGV/p0urEyYMIFFixaRnJxMdHS05/WIiAjgf3dYjjty5EiVuy1SO+jOioiI/CnHhymNHDmyyjaLxcKAAQM8X98+pjWFhYW8//8ex94qFt+d6WRGNSDowEF2B0XRLMqKa+t+rK0aeIJLcamBZfcBmic2ovS/S43s2pvNz5lR3DDyJcxmM6Puh9WrVxMTE4PJZOLt2S9y59XNufaR5dx33xR69OjBujXLcLu3YTabMQyDNdvXE+p/GYWO9fh7daZxhJU6gRbqBPas0o/YxIdJt77IZeEWTCYTxo4ZbNiejS8ZDBo06NyfVJFLlGEYTJgwgQULFpCSkkLjxo0rbW/cuDEREREsXbqUjh07AhUfTixfvpznn3/+QjRZzjOFFRERqVb+/v6M+uuLfPD/JtHeZMFqNWFtE0Os2yA2yoqpftWFIo+ExbB25y8cOVIPJwEkDBrPjVdEVSrTo0cPXpj2JE3C1tC6QQALl8cQExPD119/zdatWwkODmZzURaxjeuyM6OchnVz8fFaim+pDbv3UvZn9adppIW0wy58bCbqBJpxG+BtA3bMIKbu//5kLv3xMN0GT6oyDl9E/pzx48fz/vvvs3DhQgICAjx3UIKCgrDb7ZhMJiZOnMizzz5LbGwssbGxPPvss/j6+nLLLbdc4NbL+aCwIiIi1c7Ly4tb/vIckydPpnnxRm66uiPeXpUXPSx2uDmQ7cLlBsyrOZRZRveBzxATE3PCOk0mEw//bSp3jEiibr0Apr04Ha8lSwgKCsLpdJKx7TtCYoLYuPdHouvkkVPoi7mwO4fyNtOhSQZl5QbbD5bjZ0/G4Tazeb+d3MI4Etp6Y/nvXR63282iNQUMGvG0FmkUOQ9mzZoFQGJiYqXX58yZw6hRowB45JFHKCkpYdy4ceTm5tKtWze++eYbrbFSSymsiIjIBWGz2Xj22WcpLS1l/vz5xPpuoGvbKPZnl3Pk2Dq8rC787aWYfELZv9tF3RYPnzSoHGc2m3n7/eUA5OXlUVBQgMvl4pdffuHm3r6s251Ok3odOVZoIszPTGSohawCF85yM3VDlwJQWmalxGHFZZhoFW3D8t+5KwWFpaw+0pGho67URF6R88QwTr8Gk8lkYsqUKad9mpjUDgorIiJyQfn4+DBixAh++aUNq36ay9aMNHrFmfC3O9h7oBub9hTQtscY4uPjz6re4OBgbrrpJlwuF4MHD2bhe9MZ1KUFbnfFyvJWa8Vcm+jQDjicKRSVmnE4rfjbyygq9SEiqDORoRXrxaQfPEZe8BAGDOh4zvsvIiInp7AiIiI1QseOHSlu0YK2ZWW8/fbbRPuvxOzfgLEP3/Wn6rVYKgJH/2HjefapETRp3IB+7eqRXWglwNcE5u9xGyZ8fcrw8ynj172RdG/ejgC7mT37j/L9+nR6XTeFjs2anYtuiojIWVBYERGRGsPX1xdfX1/GjBnDzq1taNex3zmte8pznwKw4N0XaRHlptDxA1aTg3ufcdGvXz/Sfv2QZWt306ZNLoWFhcTFxXHXXU/STEFFROSCUFgREZEax8fH55wGld9LuPpOMn++lqwjTkL8E5gx42bat2/Pjh3X0eCjj4iLi6Nfv354eXmdtzaIiMjpaVFIERG55ISGhjJtdj6XD1tGrv8VLJo3jfLyct6Y/f+YNGkSV111lYKKiEgNoLAiIiKXpHc+/hkfHx/69OmDzcubf75wPQHeB7BaNehARKSm0G9kERG5JP328cNhkfF0aPwVLr8HLmCLRETk93RnRURELnkjRozg/sdTOXDgwIVuisgl7fvvv2fw4MFERUVhMpn47LPPKm0vLCzk3nvvJTo6GrvdTqtWrTwLSUrtpLAiIiKXPKvVykN/e5nrrrvuQjdF5JJWVFREhw4deP3110+4/f7772fx4sX85z//YevWrdx///1MmDCBhQsXVnNLpbpoGJiIiFzyrFYrQ4YM0cr0IhfYwIEDGThw4Em3r1mzhpEjR5KYmAjAPffcw+zZs1m/fj1DhgypplZKdVJYERERgZMGlfLyck26l1rNWVZG4bG88xLWiwsLcLlc5OfnV3rd29sbb2/vs64vPj6eRYsWMXr0aKKiokhJSWHHjh3MnDnzXDVZahj99hURETkFBRWpzVq2bImvry/JXy1k7H3n9gETB/btZeHH75GUkEBQUFClbZMnT2bKlClnXeerr77K3XffTXR0NFarFbPZzJtvvkl8fPw5arXUNPoNLCIiNd78j9+iQ8fexMbGnvdjGYah4WByyQgJCWHBJ/NJSEykQ8c4evROOCf1lpaWMmbEjQwedgP/en0mDoej0vY/clcFKsLKDz/8wKJFi4iJieH7779n3LhxREZG0q/f+VtIVi4chRUREanRtm3bhq9pKWkbF9GgwUf4+PhcsLYsWbKEK6+88oIdX+R86NKlC5Ofm864kbfw1aofiYyq/6frnPzQRMxmM/96feYfHvL1eyUlJTz22GMsWLCAq6++GoD27duTmprK9OnTFVZqKT0NTEREarT09HSuiHdwsKQVNpvtvB/vVHdV+vfvf96PL3IhPHLvWJKuHMC422+mrKzsT9X10btzWfz5QhZ9+sk5CSnHOZ1OnE4nZnPly1eLxYLb7T5nx5GaRWFFRERqtKKiIlbsSaRpy5Aqk3Srm4aHSW1lMpl4+43/R0lxMc88/ugfrufXDb/w5EMT+ejDD2jQoMFZ719YWEhqaiqpqakApKWlkZqayr59+wgMDCQhIYGHH36YlJQU0tLSmDt3Lu+88w7XXnvtH26z1GwKKyIiUqN9/sWnxDS1k5dTTEBAwIVuzgk5HA59sisXPbvdzqIFn/LJB//hs48/POv983JzGXPrjdz70N/+8JCs9evX07FjRzp27AjAAw88QMeOHXnyyScB+PDDD+nSpQu33norrVu35rnnnuOZZ55h7Nixf+h4UvOZDMMwTlcoKiqKjIyM6miPiIhIJZ9//jmtuxxiy8aD9I1/FF9f3wvdpEqysrL49ddfSUpKutBNETknvvjiC266+WYWLltJi9Ztzmgft9vNHTcMxWyxsOTzhVWGaomciMlkIjIy8pQ5QxPsRUSkRluxYgVL1uylZ7uhNS6olJeXM2nSJPbtWUHPnpvw8vK60E0S+dMGDRrEneP+yj23DueL5WsICAw87T6vvjCN3Tt3kPrTegUVOad0Z0VERGq0nTt30rhx4xq53slLL71E5r7PeerhMD75JoYRo1++0E0SOSdcLhd9rhyIn58/s9/76JTztVK+/YYxtw5n9apVdOjQoRpbKRe7M7mzorAiIiLyJ/z0009YS14nLy+f/XlDGD78Js9idSIXs6NHj9KhYydGjR1/0gUjD+zby8D4rrz6yivcdttt1dxCudidSVjRb1IREZE/6NChQ+zYsYN8ewuiO19Jp14FrF+vYTBSO4SFhbHgk/m8/MxU1ny/vMr23y78qKAi54t+m4qIiPwBTqeTiIgIbrzxRr76JJP127NZ9s02PRVMapXfLhh5KONgpW2/XfhR5HxRWBERkYteRkYGzz33XLUe02azYTKZMAyD9u26EWzYCQnxo6w8u1rbIXK+nWjByPO18KPI7ymsiIjIRe29994jIyODNm3O7BGr51JJSQnFxcW0bNmS6c98id3claCAs18IT6Qm+/2CkX924UeRs1HzHq0iIiJyFvLy8ujcuTMul6vaj+1yubBYLPj7+/PII49isVhYs2YNcXFx1d4WkfPp+IKRneLiWPDRB39q4UeRs6E7KyIictEqLy+nb9++AHz55ZfVfnx/f3+sVitDhgzB5XIRFBRE586d+fHHH6u9LSLnW5MmTfhk/nxG/+Vepj352IVujlwiFFZEROSilZuby913383MmTN56623+OWXXwA4g6fynzNeXl4sW7YMgIMHD/Lyyy+TlZVVbccXqU59+/Zl+j+m6Il3Um30nSYiIhctPz8/Qi5vxMpjm9m+fTtbt26lrKyMlStXVms7AgMDeeaZZ+jduzfvvPMOV199dbUeX0SkttKikCIictHauXMnr2+YR0j9cABmDHoEH6sX0dHRzJkzh7Zt2+oTYBGRGkor2IuISK3lcrnomNSNYc+PqbwhuxTq+JCdfohFT7/D4vmLaN269Xlrx759+4iMjMRms523Y4iI1EZawV5ERGott9tN9q4Mkv+1sPIGqxncBnUi6tLx7qHMWvEBCQkJ52yxxl+3/EpmZiYA+fn53P73ccyZM+ec1C0iIpUprIiIyEXJZrPRb2B/Vsz9qvKGYC/Wr9/Otp/3cNinjLA6dej1wLWMefheUjdsOOP6jw88cLvdnk/9HA4H7yx4idmfPsa06ZPp1q0biWOH8O+vPuD56S+cs76JiEgFrbMiIiIXLS+bjSdXzf7fC2UuOFaG02TQMrwe20vSwWTi5/R9dO3bmvH/9xQtLaG8Ov0V/Pz8qtRXWlrKxo0b+eaHZLYe20vB+oM4nSX0ubkJzv0N8W+YT7/hLT3lo1qOwJR7mL/eewXJO45y6EgmkXUjqqHnIiKXBoUVERG5aIUGhlR+ocTFT2n7KLW4IcDGEFsTFmbvxO5lJjltF6bLoklzm4iNjeWWW26hTZs2xMfHs3LlSrZv3876rK0E5Vnx796A2J7toGETOrV34uNvhu4AlY9nDzThH2bBYoOGO/L46cf1DBo0qNr6LyJS2ymsiIjIReuOO+7gpeVvE92hacUL5QaHvB2YMbEwayet8u0QCCUWNyUWMBsQ6LRxz5uPUVZWxl9v+yslJSWEh4dTWFjIyNkP8cVjcwjZs4fGzRrTuZMTL59TjJg2IO+QizoxVnb9eogn/qJHFouInEsKKyIictFq2LAhx3YcJrp9EyhzQ6CNQRGxrNu7F4fZjfO/OcNd3gGzZQNhZTYMTPy0M524ri3o99RYOnRvTubO/ZjMJuo0iuT5t+/hjae+Y8+6bbSr1xBHgZvyMoPgSDOFOW5MZjCbTaSm2cFdMa+lTkwZeQdNmEymC3g2RERqH02wFxGRi5afnx9F2w7DUQcUOMFmhmAvunRqjq/LwjFbOQBm6wYsBgQ6LdjcJuIuawZAh26xUOgkIiic7sFekO3AL8RMZEsLPy38Hp9AE5sO+bL1qB9rtvuxabsXeRluUvf6QomL1pElxLV04Co3OHz4MA6H40KeDhGRWkdhRURELmozZ86ksVcWze0FNMs/AodLIb8MqBj25Vde8acuvMwLgGxvJ+wsgKOlYDLR0ppHy4AC0kr8iGtYhJfdxIgJfcjMzGRY3GTimhWTtucQ2C0Q6sX3OwrBywzh3mw54ktgqS/mIxZCQ0NxOp0X7DyIiNRGGgYmIiIXtaZNm9Kt2+sUFRXxbsoj4AiEYG86dYqtuNNy1MG63WlkW5qTa99MsNMKDXzAYqJ5URZ+4WasNuharxRHkUFAiS8mM7z78aMUFmWTf8RN4/p1aVqeQ0mJQVCgL0GuY4Q3tPLTTh8wwfdrdtOmTRv8/f0v9OkQEalVFFZEROSiZjab6dixI4PHtMDLx0b7uoU4Swsw3LDtsC+4oUt4fVIP72S3pQMDGhXDMSc7Dx0mor4/9kDw9rXgdBg4Cg3qNfPCy8sM+ADBFeut/HoUL7uZ3Vne4O2mYYSTgiwX8RHg42Pm+Sfe5IcffrjQp0JEpNbRMDAREbnoffTRR+TnluDj64XFBiH1LZit0K1tKfhYwNdKrqUpTRxbINcBXiZiQ8JIySjg0+XHOLq3nPlfHWPbTguZByrPOzGZTLRpGExRrgFlLn7O9eLQTifFxwzsfhZ2HjrGRyuf0nwVEZHzQHdWRETkolenTh1ch6IpK3FTVgLlDjeGYZCX4QYT4HCRVKccLNGsyzxAF2cEu3KPsjq4Hc2L8tm+v5jd3g0oP7aPHo56ALjdBmUON2Su5Zi5Ew1C/TCZKuarBIRaaNc0hF+25LK/0E4LWylFRuaFPQkiIrWQyTAM43SFoqKiyMjIqI72iIiI/CHl5eWMHjOCPkPa0SQigGXbnDQOKSUtxxtCvGhsKiAt1xswsTz/ACUWFxaj4lHD5SaDOmU2ykwG1/iF0LyJP9bCHYSHllLqsBAbc4x9h/wpDepEYb4bu93MvrQSthWZuaxVGcV7S7n26knY7fYLexJERC4iJpOJyMjIU+YMDQMTEZFawWq18tB9jxEd5iaqgTfNI0tJK/alic3F1p0HSHP6sy43A4JsFFjLCXZaqeuw4e02E+a00aVNM6yYOGq1s/tgAd6RragTUkpMVCH+vuVklLXHcWAT1mNbCA23UaeeN03CHASW+ZKZUYi3t/eFPgUiIrWOwoqIiNQabdq04YdVOzCZTDSPCibcUUhYuBdXNgmEACtdWjcDt0Gkw5vu7ZrToVMsvcMa0rVLS/C1YHeZoXEANh8ze47ks3F7CNvTAsnK8aGRXyoZ3o3Yb27Ih8sKCQi00L5ZCEGhNt5/5/sL3XURkVpJYUVERGoNk8nEKy98TXm5Cx+7idSDxVitEFDHDEUuKCqHwnLi6kWBCWJysysm4AO4Ddp3bApWE3XsdvaUBpBfZMPPt5yiUisWs4FhQFhDC5hNYBhYrCYw4MbbO+F2uy9s50VEaiGFFRERqTVmzZrF0qVLaR1zLx+9t4KhXcI54igi1OxHFz8XZJfSOsYBx8pp7szBP8xEq5BCyCqlYXY2rUw5tHJms+Gwm9ZhReTbw2nRKJ8m0YUARAf44yqHVg0d+Bb+zI5VX/OPx79l/y4frFY9s0ZE5FxTWBERkVojNTWVkJAQXp/1BHFxHQkOtdEoNJAi32LcboNmDZxsOerPZZ1cOIoNAuuaCalvoUfLIur5+xJp96dBYACE+xAcZcE3yMShbDulDjOH3J0Jq+vFsUw3IYYvubbL+H/vltCnTx/Wr19/obsuIlIrKayIiEit4XK5mPPuNNq36c8br6dQN8KGvTgVvyJfAoMq7nwc2n6I1AO+1Is1U7jDhjXLh+x0Ny6nQUiYDbPZRPvwQkoK3ETY/fHxcpGalYiP3YzZXPEATZMZfHydzJgxgwkTJnDjjTdyBg/XFBGRs6SwIiIitUarVq24/e44pk2bRmZmJu2bTqQ8pBMH8wsIj7Sxa5+Nq9rXob21HABvbxP+AVYaBvsTE7AJR6mbUOeP5B9xEXw4nbC6NsrCE4mo701wiI38Yy5cToMsRxEfv7WBtm3bArBx40ZMJtOF7LqISK2ksCIiIrVG3bp1MQyDkrIjvPXBKLy8rPj4mGnbOASTCfA2U+xdit3XzLFDboKNbQSVrKVz1HLaxuYRYazC3+4kyGKnTogDs/l/AcRqMxEW7kWPjnW485p/EBreCoDi4mIGDx58gXosIlK7KayIiEit0bZtWzb8spc33rmL1K0FFBWV8tWiLQSF2Nh6KIf6viVs32Gl0LuEUIsvO0tjyMy28/PPXqRuDcFtwLZj3QkIshLkX4azzCBjv6PSMfJyyln0wTCuvfZaAHx9fRk6dOgF6K2ISO2nsCIiIrVGXFwc33+TA0DHViFs2PUq1yUco7TERcERCLHZ6d7Sm9yDbqIa+BDm48PO4mjsQT4U5ZVRWGjDnb2NHg2/J7/QRkF+Oc4yNz9szMYwDHKPOnE4yrnu9s/1qGIRkWqgsCIiIrVKZEQjAAKCrKxck4MpKp49O0rwN7ypF+lFdIw3zaIDOJZbTvr+Yg44/dic0YrwSAvHsh1kO5vgLDdT7jJTWOCia/QKGtcJIPuwkwhjFR//ax4ffvghjRo1UmARETnPFFZERKRWSUxMpLSkDID47mEYVMw3iWzgzZHyIuy+Fkxm8PYxExVuJ7b0ADlFpWQdKqfUaSM7v5Q3P3DwzbJttAj5GZvVjePQZsLCbewq7M61t9/Ar7/+yv3338977713YTsrIlLLKayIiEitEhcXxxuvJwPgY7dgtZqoF+VFudPgsiZhlBS7+HVrPlmZZURGe4NvBJHeR8nziQNvXxr5Z/LkM0v5cKETH1s24a2+5dtl68jfuZqwcBv5hblcdtllJCQkcNttt13g3oqI1G4KKyIiUqvYbDbCQzry0rOLWb8tGwAvLzPLfnVQUuzCx27m8h6hOMvcbN59jPwyB+aAaCwWgxLvFgC8+s7jBAWUkXTdLmJiYmjR4T5+Ss2gqLCcbT+b6N+/P7feeuuF7KaIyCVBYUVERGqdJ554gr4Jt+LtKAaghf0bBnf3Zd2vR8k67MRVDgezi2nkncHhYi+CTGl4Fe/CmbMHu48LrzIr140exvjx42nRogW33noruY5+TH7kCw5mHGXjxo0XuIciIpcGhRUREamVrrrqKh6Z8DHl5QYbc/ux/WAesVFBhNez4Sh1Ex3ui8OnGfVDHURHFNGiyTEK8vbwtyfm0zhsD4+Oe4n+/fvToEEDjh49SnBwMHPmzGHTlpX8+OOPF7p7IiKXBIUVERGplex2Oy+99BLvzVnN5R0foEubOtSL8mLlumx2Z+YTFeNNeU469sI89hR0YE9hdyY8ugaTvR5lfq25/fbbKSws5NFHH8XhcPDpwrfZsGEDpUXe3HHHHRe6eyIilwSFFRERqbUGDx7MJx+uZ/jw4ZhMYBgQFeSHrcSLwwed5PnWw+k0czijjCDneuLi4ijOz2X1yi20adOG1atXExERQYMGDWgZ24UPPn+NI9mHKC8vv9BdExG5JCisiIhIrTZr1iwuv/xyBiXN4M6b/kNOTiEEO1m33UFpgZuAehGUWZ24wroRHVHGtdfdSX7+Ma6//npKS0s99fTs2ZOMHWX063MlDofjFEcUEZFzxXqhGyAiInI+9e7dm6+++oqsrCyuuOIKTKYyzFZvGkY7wTDh62cmM8uboztS2bGnnCemjCQ9PZ158+bxt7/9zVPP8OHDGTZsGIDurIiIVBOFFRERqfVuuukmojqUs3vLQYKDG7Jmr4km9Yow53uR7Swiwg8mP7uMxH6DCAsL46677sIwDMaPH1+pHqvVWum/IiJyfum3rYiI1HqNGjXijTeKGTToNhYvXMqKFSuw2Wz4+VuI6duL6zrXxeodycT7JrF69Wp69epFx44dL3SzRUQueSbDMIzTFYqKiiIjI6M62iMiInJe5eTkEBwcDMCrr75KVul2fEwFdG5/KwMHDgSgtLSU0tJSTzkRETn3TCYTkZGRp8wZCisiInJJKSsrw8vLy/P13r172bRpE/3796/0uoiInF9nElY0DExERC4pvw8kMTExxMTEXKDWiIjIqejRxSIiIiIiUiMprIiIiIiISI2ksCIiIiIiIjWSwoqIiIiIiNRICisiIiIiIlIjKayIiIiIiEiNpLBSjVavXs2UKVPIy8ur9HpiYiKJiYmer4uLi5kyZQopKSlV6pg7dy4mk4n09PTz2lYRERERkQtN66xUo9WrVzN16lRGjRpVaVXkf/7zn5XKFRcXM3XqVIBKIUZERERE5FKisFIDtG7d+kI3QURERESkxtEwsGoyZcoUHn74YQAaN26MyWTCZDKRkpJSaRhYeno64eHhAEydOtVTbtSoUaes/9tvv6Vv374EBgbi6+tLz549+e67785nl0REREREziuFlWpy1113MWHCBAA+/fRT1qxZw5o1a+jUqVOlcpGRkSxevBiAO++801Pu73//+0nr/s9//kP//v0JDAzk7bff5uOPPyY0NJQrr7xSgUVERERELloaBlZNoqOjadiwIQAdO3akUaNGJyzn7e1NXFycZ5/u3bufst7i4mLuu+8+Bg0axIIFCzyvX3XVVXTq1InHHnuMtWvXnptOiIiIiIhUI91ZucitXr2anJwcRo4cSXl5ueef2+1mwIABrFu3jqKiogvdTBERERGRs6Y7Kxe5w4cPA3D99deftExOTg5+fn7V1SQRERERkXNCYeUiV6dOHQBee+21kw4Zq1evXnU2SURERETknFBYqUbe3t4AlJSUnJNyAD179iQ4OJgtW7Zw7733/vlGioiIiIjUEAor1ahdu3YAzJw5k5EjR2Kz2WjRokWVcgEBAcTExLBw4UL69u1LaGgoderUOeGkfH9/f1577TVGjhxJTk4O119/PXXr1iUrK4sNGzaQlZXFrFmzznfXRERERETOOU2wr0aJiYlMmjSJzz//nPj4eLp06cJPP/10wrJvvfUWvr6+XHPNNXTp0oUpU6actN4RI0aQnJxMYWEhY8aMoV+/ftx33338/PPP9O3b9zz1RkRERETk/DIZhmGcrlBUVBQZGRnV0R4REREREbkEmEwmIiMjT5kzdGdFRERERERqJIUVERERERGpkRRWRERERESkRlJYERERERGRGklhRUREREREaiSFlQtg48aN3HnnnTRt2hS73Y7dbic2NpYxY8awfv16AKZPn47JZGLt2rWV9nW73YSGhmIymdi+fXulbWVlZfj6+jJs2DDPayaT6bSLRa5cuZK77rqLuLg4vL29MZlMpKenVym3Y8cOHnroIeLi4ggODiY0NJSePXsyf/78P3gmREREREROTmGlms2ePZu4uDjWrl3LfffdxxdffMGXX37JxIkT2bx5M126dGH37t0kJSUBkJycXGn/DRs2kJubi5+fX5Vta9eupaSkxLPvmfruu+/49ttvadiwIZdffvlJy33zzTd8+eWXXHfddcybN4/33nuP2NhYbrjhBp566qmzOqaIiIiIyOlonZVqtGrVKnr37s3VV1/N/Pnz8fLyqlJm3rx59OzZk4iICMLCwujWrRuLFy/2bJ8xYwbTp08nISEBl8vFRx995Nn29NNP8+STT7Jp0ybatm0LVNxZGT9+PK+//vpJ2+V2uzGbK3Lr9OnTefjhh0lLS6NRo0aVymVnZxMWFobJZKr0+qBBg0hOTiYnJwdvb++zPi8iIiIicunROis1zLPPPovFYmH27NknDCoAN9xwA1FRUZjNZnr37s2qVasoLy/3bE9JSSExMZGEhARSUlIq7ZuSkkJ4eDht2rQ5q3YdDyqnU6dOnSpBBaBr164UFxeTk5NzVscVERERETkVhZVq4nK5SE5OpnPnzkRGRp7RPklJSRQWFrJu3Tqg4g7I999/T0JCAgkJCRw5coQtW7YAFfNV1qxZQ2Ji4gkDxfmUnJxMeHg4devWrdbjioiIiEjtprBSTbKzsykpKSEmJqbKNpfLRXl5ueff8ZF5x+eeHL+DkpqaSl5eHgkJCbRs2ZJ69ep55q388MMPf2i+yp/15ptvkpKSwhNPPIHFYqnWY4uIiIhI7aawUgPExcVhs9k8/1566SUA2rdvT1hYmCespKSkEBERQYsWLQDo3bu3J6wcL1OdYeXrr79m/PjxXH/99UyYMKHajisiIiIilwaFlWpSp04d7HY7e/furbLt/fffZ926dSxatKjS6yaTiYSEBFatWoXT6SQ5OZmEhATP9oSEBJYvX45hGCQnJxMREUHLli3Pe18AlixZwrBhw7jiiit47733qn3omYiIiIjUfgor1cRisdCnTx/Wr1/PoUOHKm1r3bo1nTt3pl27dlX2S0pKoqioiLVr17JixYoqYSU7O5uffvqJH374odruqixZsoShQ4eSkJDAJ598ctKHBYiIiIiI/BkKK9Vo0qRJuFwuxo4di9PpPKN9jgeQGTNmcOzYMRITEz3b2rRpQ1hYGNOmTaO0tLRawso333zD0KFDiY+P57PPPtOjikVERETkvLFe6AZcSnr27Mn//d//MWHCBDp16sQ999xDmzZtMJvNHDp0iE8++QSAwMBAzz5t2rShbt26LFiwgPDwcFq1auXZZjKZ6N27NwsWLABOPl9l9+7dJ1xlvnXr1rRu3ZqsrCyWL18OwKZNm4CK+Sjh4eGEh4d77uasXLmSoUOHEhERwWOPPUZqamqV+n7bdhERERGRP0NhpZqNHTuWHj16MHPmTGbMmEFGRgYmk4no6Gguv/xyvvvuO/r06VNpn8TERD7++ONKQ8COS0hIYMGCBdSvX59mzZqd8JiLFy+utLDkcZMnT2bKlCls3ryZG264odK2cePGeeo/Pnn/22+/paSkhPT09CpthIpHGP/2zo+IiIiIyJ+hFexFRERERKTaaQV7ERERERG5aCmsiIiIiIhIjaSwIiIiIiIiNZLCioiIiIiI1EgKKyIiIiIiUiMprIiIiIiISI2ksCIiIiIiIjWSwoqIiIiIiNRICisiIiIiIlIjKayIiIiIiEiNpLAiIiIiIiI1ksKKiIiIiIjUSAorIiIiIiJSIymsiIiIiIhIjaSwIiIiIiIiNZLCioiIiIiI1EgKKyIiIiIiUiMprIiIiIiISI2ksCIiIiIiIjWSwoqIiIiIiNRICisiIiIiIhep9PR0wsPD6dOnDwkJCTzyyCOUlJSctPxnn33GkSNH/vRxz1U9p6OwIiIiIiJyEUtISGDZsmWkpKTg7e3NlClTTlpWYUVERERERKqdyWTiiSeeYOHChQC8+OKLJCUlERcXx9KlS0lLS2Px4sXccccdTJo0iU2bNpGUlMTll1/OvffeC8CaNWvo1q0bCQkJPPnkkwAsXryYXr16cfnll/PBBx9UqSczM5PJkyefnz4ZhmGcrlBUVBQZGRnnpQEiIiIiIvLHpKen89BDDzF//nzPa40bNyYtLY3i4mJ8fX3Jzs7mhhtuIDk5mVGjRvHQQw/Rtm1bSkpK8PHxwWQyMWzYMJ5//nneeecdunXrxqBBg3C73QDEx8eTkpKC1WolKSmJZcuWceedd3rq+aNMJhORkZGnzBnWP1y7iIiIiIjUKGVlZXh7ewPw3nvv8c4772A2m8nMzKxSNj09nQceeIDi4mLS0tLIyMhg/PjxTJs2jY8//pibbrqJzp07s3PnTvr37w9AdnY2WVlZ1dYfhRURERERkVri2WefZejQoQBMnz6dzZs3k5ubS3x8PAA2mw2XywXAP//5TyZMmMBVV13FsGHDMAyDoKAgZs6cSVlZGXFxcWzYsIFWrVqxdOlSbDYbTqcTm81WqZ7zSWFFREREROQitnz5cvr06YPL5aJr16489dRTACQlJdGrVy+6du1KYGAgAAMHDmTixIlceeWVDB48mPvvv58333yT8vJyAGbPns2nn35KUVERo0aNwmw28/jjj9OvXz/MZjPh4eF8/PHHleoZNWoUs2bNYurUqee8b5qzIiIiIiIi1e5M5qzoaWAiIiIiIlIjKayIiIiIiEiNpLAiIiIiIiI1ksKKiIiIiIjUSGf0NLD77rsPk8l0vtsiIiIiIiKXkNNljDMKK48++igAM2fO/PMtEhERERGRS97xp4GdssyZPLpYRERERESkumnOioiIiIiI1EgKKyIiIiIiUiMprIiIiIiISI2ksCIiIiIiIjWSwoqIiIiIiNRICisiIiIiIlIjKayIiIiIiEiNdM7DyrfffsvVV1/NFVdcweuvv37ScgsWLCAhIYFevXpx1VVXcfDgwXPdlAti7ty5nn6/8cYbntcTExMpLCw8q7pSU1Pp2LEjjzzySJVtkyZN4sorrzzr9qWkpLBjx44zLj9q1Ch+/fVXUlNTmTVr1mnL79u3j8TERBISEhg4cCB5eXkALF++nB49etCzZ082bNgAwDPPPMPll19Ot27dePvttyvVM23aNDp37nzmHTuHZs+eTYsWLc56v9TUVH788cczLj9lyhS++OILMjMzmTx58lkf7zi3283UqVNJSEjg8ssvZ/To0cD/vucWL17MggUL/nD9c+fOpays7IzKLlu2jB49etC7d2969uyJw+H4w8edOHEiJSUlf3h/ERGRs5Gens71119/Xo+xePFipkyZctLtJ7o2SklJoUGDBiQmJtK3b98q+/z22vNEjl/Lnc69995LfHw83bt3Z8mSJQAUFhYyZMgQ4uPjee655wD46aef6NWrFwkJCQwfPhyn0+mpY9++fXh7e5/R8c7UOQ0rq1ev5ssvv8Tf3x+Xy8W+fft49dVXq5Tbtm0bs2bNYvHixaxYsYLXX3/9jC+GLia/DSt/xNdff82TTz7JCy+8UGXbjz/+iN1u5+jRo2dV58nCitvtPuV+l112GX/5y19OW39gYCCffvopy5cv59prr+Vf//oXAE888QRfffUVH3zwAX/7298AuPnmm1m9ejUrVqzgxRdf5Pj6pAUFBef0m/xsffHFF/To0cMTqs7UycLK6c5tREQEU6dOPatj/dZbb71FaWkpy5cvZ/Xq1dx6662Vtg8YMIBrr732D9d/NmHl+Pv8/fff89VXX2Gz2U67z8nOzyuvvILdbj+rtoqIiFzMTnZtdOONN5KSksJ333133o79wAMPsHLlSr7++mv+/ve/A/Cvf/2LwYMHs3LlSlJSUjhw4AD169dnyZIlLF++nGbNmvHZZ5956nj++efp2bPnOW3XOQ0ra9euJTo6mpEjR7Js2TKmTJmC0+n0nOjjPv74YyZMmOC5EGnSpAmNGzdm//799OnTh169enkujOfOncvQoUO5+uqr6dmzJ++++y5XX301CQkJOBwOUlJS6N+/P0OGDKFDhw7Mnz+fa665hi5dunDkyBEA7r//fuLj40lKSiItLQ2AVq1aceutt9KxY0feffddAJKSkoCKuxbjx48HoF+/fpSXl7N+/XqSkpLo1asX06dPB2Dp0qUkJSXRpUsXT9o8btasWWzfvp3ExESWL18OVFzI9erVi3HjxlU5d9999x3du3enW7duzJkzhy1btjB79myefPJJ3nrrrUplf/nlFzp16sTw4cM9n5inpKTw0EMPARVhcNSoUZSVlTF48GASEhLo3bs3JSUlzJ07l0mTJnHHHXeQkpLCoEGDuOaaa3j33Xd58cUXSUpKIi4ujqVLl1Y65m/rf/DBB0lMTKRr166kpqZWKhccHExoaCgANpsNq9VKcXExNpuNkJAQGjZsSG5urud9/22542bOnOk5/9UtOzsbf39/7rnnHubNmwdU/qSltLSUxMREAO644w569epF7969SU9PZ9asWcycOZOBAweSnp5Or169uOGGG5g+fTrvvvsuffr0oVOnTp7vt+N+W/+J3oNRo0Zx9913069fP4YMGVLl5+nDDz9k0qRJnq9//6nLbz9xadWqFSNGjKBt27Z88MEH3HTTTbRv397zPfr793bNmjWkpqYycOBAZs6cSXZ2NkOHDqVPnz6MGDECl8tV6Vg2m42UlBQcDgdBQUGYzWZKS0sZMWIEffr04ZprriE/P7/K+fntL7abb76Z3bt3e+4MlZSUcPPNN5OQkEC/fv0ATvjzKCIicq78/m/8Z599RteuXUlMTPSMNPntCJDu3bsDsGfPHq688koSExO5//77AcjLy6N///4MGDDAc20BJx5BcLJro08++YRevXoxc+bMU7b7RG067r777mPNmjUAfPXVV1VGdRw/tre3N2ZzRURYs2YN/fv3B+CKK67ghx9+ICIiAl9f3yrtTEtLw2Qy0bBhw1O28awZ59CcOXOMMWPGGKWlpZ7XFi1aZGRlZVUqN3bsWGP9+vVV9h83bpzx9ddfG4ZhGKNHjzZSUlKMOXPmGHfddZdhGIbxxBNPGBMnTjQMwzAmTpxoLFmyxEhOTjb69etnGIZhvPnmm8bQoUMNwzCMV155xZg9e7bx448/GjfeeKNhGIbx/fffG6NGjTIMwzCCg4ONY8eOGQUFBUb37t0NwzCM66+/3sjKyjJuuukm46abbjKKi4uNgQMHGoZhGH369DFycnIMwzCMoUOHGpmZmUZRUZFhGIbhdruNbt26GcXFxcacOXOM1157zTAMw4iLi/P0LSEhwVi+fLlhGIbRs2dPIy8vr1Lfu3btamRlZRllZWVGp06djOLiYmPy5MnG559/XuU8TZo0yVi3bp1RWFjo6W9ycrLx4IMPGoZhGFu3bjVGjhxp7Nq1y7juuus8bTQMo1KdycnJRq9evTzbjvcnKyvLSExMNAzDMEaOHGls2rSpUv3Hy23YsMG45ZZbqrTPMAwjLy/P6Natm5GTk2McPHjQGDJkiGdbz549DYfD4fn6lVdeMZ555hnPfsOHD69y/qrL7NmzjXnz5hlut9vo37+/YRiGkZaW5jmPJSUlRkJCglFWVmZ069bNc+5cLlel9z4tLc1o0qSJp5/Hz1lpaanRuXNnwzD+9178tv6TvQdvv/22YRiGccsttxgbNmyo1Obj9f1eQkKCUVBQUKldwcHBRkFBgbFr1y4jMjLSKCkpMVJTU42bb7650vF/+94er8cwDOPBBx80vvvuO8MwDGP69OnGvHnzKh1z165dxogRI4xGjRoZ48aNM1wul/Haa68Zb731lmEYhjF//nzjxRdfrHJ+Ro8ebWzcuNEoLi729Pv4cV955RXj5Zdf9pxnwzjxz6OIiMifcfzv8Yn+xo8YMcLYtGmT52vDqHyd0q1bN8MwKq4ld+3aZRiGYdx7773GunXrjBdffNGYPXu2YRiG8dhjjxmTJ08+bVt+e21UUFBgOBwOw+FwGAMGDKhyDX2ya8/jbTp+Lbd+/Xpj/PjxhmFUXE/s2LHjhMeeOHGi8d577xmGYRhXXHGFkZubaxiGYfzrX//y9MMwDGPv3r3G5ZdfbpSVlRmGYRhjxowx0tLSPMc7V6ynjzNnLicnh+bNm5OcnMyAAQMoKSlh165dDBo0qFK5qKgoDh48SFxcXKXXd+/eTZcuXQDo0qULu3btwmKx0L59ewDq16+Pt7e35/9zc3OpV69epe2//f/du3dXqfOxxx4DKtJjYGDg8cAGQK9evVi6dCl2ux1fX1++/PJLunXrBsCmTZs8Q2lyc3PZv38/DoeDyZMn43Q62bNnj+dOzsl07NgRgOjoaPLy8ggKCvJsc7vd1KlTB4DY2FgyMjJOWs9XX33Fzz//DMCWLVs4evQoJpPJs/14f5o2bUpCQgKjRo2ifv36PPXUU1Xq6ty5s2ff9957j3feeQez2UxmZuZJj//SSy+xZMkSzGYzFoulynan08ktt9zC9OnTCQkJwcfHh/z8fM/28vJyvLy8gIq7U8uXL2f+/PlAxdCfe++996THPt8WLlyIw+HgzTffZOfOnWzcuLHS+3T83NpsNv76178yevRogoKC+Mc//lGlrg4dOlTq58svvwxwyjlDJ3sPjn/vNGjQwHNn6rigoCDy8/M938+n0qRJE/z9/bFarcTGxuLj4+P5WYLTv7dbtmxh7dq1PPXUU5SUlHDbbbdV2t60aVPeffdd3G43d955J0uXLmXLli2sW7eOd955B6fTSa9evaqcnxtvvJGPPvqIDh06VPl9sW3bNu68804Azyc9J/p5rFev3mn7LyIicjon+hv/97//nRkzZlBUVMS4ceOq3LU4fn2wfft2z9+sgoIC+vbty65du7j77rsB6Nq1K7/88sspj//7ayN/f3/PtmuuuYYNGzZUuYY+EeN3IzHi4uJ48MEHycvL4/Dhw8TGxlbZZ86cOZSVlXHLLbcAEBISQn5+PsHBweTl5dGoUSMA8vPzue2225gzZw42m43du3cDeLafS+d0GFjXrl3Zu3cv//73v+nXrx+TJ0/GbDZXupAGGD58OK+//rrn1ld6ejppaWk0a9aMdevWAbBu3TrPSfzt/ie6KD/V9jOp87jjQ0q6du1Kz549mTZtWqULq4ULF5KSksLPP/9MXFwczz33HK+++irJyck0bNiwyjfF749xorYfZzabyc7Oxul0snPnTqKioqq0DyrmRSQkJLB48WIWL17MM888w2effUZISAj79+8HKiY+ATgcDsaPH8/cuXPJyspi1apV2Gy2SkN3jl/8AUyfPp3k5GTPD8eJHD16lC+++MIz1+j3/QAYN24cw4cPJz4+HgC73Y7T6SQ3N5d9+/YRFhYGwObNm3n66ac9F+cAu3bt4plnnmHAgAHs3LnTM7zuwIEDJ23TuZKdnY2Pjw/ffvstixcv5u2332bevHkEBwd7jn/83LpcLm644QbmzJlD3bp1+fTTT095bqdOncqiRYtYsmRJpV86v3ey9+BU3zs33XQT06ZN83ydnJx80vpP9bNysvf2t/1q2bIlzz77LCkpKaxdu5YxY8ZUqn/nzp2evtepUwe3203Lli3561//SkpKCqtWreLpp5+ucn769OlDcnIy8+bNY/jw4ZXqbNWqFatWrQL+N7/lRD+PIiIi58KJ/sY3aNCAWbNmMW3aNM8H36WlpbhcLvbu3Ut2djYALVq04O233yYlJYX169czaNAgmjVr5gko69evP+WxT3Rt9NsPfFesWEGzZs1Ouv+J2vRbAwcO5C9/+csJ57ImJyfzySefVBpq1r17d7755hug4iFaPXr0wOVyceutt/Lkk0/SvHlzADZs2MDmzZsZMGAAS5cuZezYsZUm3v8Z5/TOSnx8PKWlpcyYMQOTyUSDBg2YMGFClXItWrRg7NixnqdZBQYG8sYbb/Doo48ycuRInnnmGdq2bUvv3r3Zs2fPn2pT586diYyMJD4+HqvVypw5c05atkOHDuzevZvevXsTFBTE7bff7knOzz33HMOGDcPtduPl5cVnn33Gddddx4033kibNm3w8/M7YT+vu+46Hn744dO289lnn+Xqq68GKp7GcLKJxfPmzfPMrYGK+QmjR49m9OjRlJaW0rdvX08g27t3L3feeSdut5vAwEA6deqEzWbj0UcfZfny5VxzzTWV6j4+B6Br164n/ZQ+JCSEevXqkZSUVOVTBagY2/j++++zc+dO5syZw7XXXst9993HP/7xD6666irMZjP//Oc/gYqJXEePHvV8kr5w4cJK8zk6d+7smYx/ww03eMZZni8LFizwhFOo+AGdOHEiTz/9NJ06dSI+Pp6uXbsCFZ+WDBkyBLfbjclk4sMPP6S0tJTbb7+d9evXey7Ij7vuuutISkrisssuIyQk5KRtOJP34PdGjx7N008/Te/evT3h4LffI2fqZO/tNddcw/Dhwxk+fDiPP/44d999t2ec6wsvvFBpfOxLL71Eamoq3t7eNGnShP79+5OUlMQ999zj+dl78MEHadOmTaVjW61W2rVrx/bt22nQoEGlbXfffTejRo3ik08+wW63s2TJkhP+PGoyvoiInAsn+hs/depU1qxZQ0FBgWcO76233kr37t2Ji4vzzNd9/vnnGTt2LA6HA7PZzL///W/uuusuhg8fzrx584iKiiImJgaomLMybdq0Sn+/TnRtNG/ePN544w2sVis9e/akd+/eldprGIZnNMSJ2vRbI0aMYPLkybz22mtVto0dOxZ/f3/69euH3W7n66+/5q677mLEiBHMmTOHwYMHU79+fT744ANWr15NQUEBTz/9NH/5y1+48cYbGTZsGFAx1/ahhx46o4fsnAmTcaKPxkVqkCNHjvDqq6+ecKiViIiIyKVs6tSpdOjQgaFDh562bEZGBhMmTOCTTz45/w07RxRWREREREQuQtOmTWPZsmUsWrTotCMMVq1axYMPPsgrr7xywtExNZXCioiIiIiI1EjnfAV7ERERERGRc0FhRUREREREaiSFFRERERERqZEUVkREREREpEZSWBERERERkRpJYUVERERERGokhRUREREREamRFFZERERERKRGUlgREREREZEa6f8DPj1xBa+gW+oAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "filename = \"/g/data/ia39/ncra/heat/data/HWAtx/bias-corrected/ensemble/GWL-average/HWAtx_AGCD-05i_MME50_ssp370_v1-r1-ACS-QME-AGCD-1960-2022_GWL12.nc\"\n",
+    "ds = xr.open_dataset(filename)\n",
+    "cmap_dict.update({'tasmax' : ListedColormap(colors=['#E3F4FB','#C8DEE8','#91C4EA','#56B6DC','#00A2AC','#30996C','#7FC69A','#B9DA88','#DCE799','#FCE850','#EACD44','#FED98E','#F89E64','#E67754','#D24241','#AD283B','#832D57','#A2667A','#AB9487'],name='tasmax'),})\n",
+    "var = \"HWAtx\"\n",
+    "stippling_mask = ds[var]>42\n",
+    "\n",
+    "plot_acs_hazard(data = ds[var],\n",
+    "                stippling=stippling_mask,\n",
+    "                regions = regions_dict['ncra_regions'],\n",
+    "                title = \"title\",\n",
+    "                date_range = \"GWL12\",\n",
+    "                cmap = cmap_dict[\"tasmax\"],\n",
+    "                ticks = np.arange(18,53,2),\n",
+    "                cbar_label = \"degC\",\n",
+    "                cbar_extend = \"both\",                \n",
+    "                dataset_name = \"\",\n",
+    "                outfile = \"figures/out.png\",\n",
+    "               watermark_color=\"k\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a8a820a-b6f2-4b76-ac80-f48ae213ecf1",
+   "metadata": {},
+   "source": [
+    "## Step 4: Calculate NCRA region statistics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c586b810-17af-4fea-9a35-7c247292ea24",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import needed packages\n",
+    "from acs_area_statistics import acs_regional_stats, regions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "6900c4c3-f8dc-492b-adf8-7f1a6d550757",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "!warning very slow! Calculating fractional mask every time is very slow.         \n",
+      "Please consider calculating `mask = regions.mask_3D_frac_approx(ds)` before function.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2kB\n",
+       "Dimensions:     (region: 10)\n",
+       "Coordinates:\n",
+       "    quantile    float64 8B 0.5\n",
+       "  * region      (region) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
+       "    abbrevs     (region) &lt;U8 320B &#x27;WANorth&#x27; &#x27;WASouth&#x27; &#x27;NSW&#x27; ... &#x27;QLDSouth&#x27; &#x27;AUS&#x27;\n",
+       "    names       (region) &lt;U48 2kB &#x27;Western Australia North&#x27; ... &#x27;Australia&#x27;\n",
+       "Data variables:\n",
+       "    HWAtx_mean  (region) float64 80B 45.06 44.83 42.02 ... 40.94 43.39 43.58\n",
+       "    HWAtx_min   (region) float32 40B 37.44 34.88 25.51 ... 31.03 31.27 23.35\n",
+       "    HWAtx_max   (region) float32 40B 48.87 48.01 46.21 ... 45.41 47.3 48.87</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5b7bd15f-b132-4bfa-b56e-8f6e57f57f3b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5b7bd15f-b132-4bfa-b56e-8f6e57f57f3b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>region</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-803cd19d-3f00-4999-bc48-1ffc0c6aec44' class='xr-section-summary-in' type='checkbox'  checked><label for='section-803cd19d-3f00-4999-bc48-1ffc0c6aec44' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>quantile</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5</div><input id='attrs-0e2f7032-da6d-453d-8db2-b754ffc24065' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e2f7032-da6d-453d-8db2-b754ffc24065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-050c0d67-b466-4e61-b9d6-354ab8ea67c5' class='xr-var-data-in' type='checkbox'><label for='data-050c0d67-b466-4e61-b9d6-354ab8ea67c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>region</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-8cdf1d76-2b6c-4564-a209-552f05bd4ff5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8cdf1d76-2b6c-4564-a209-552f05bd4ff5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f50976b-e679-44f2-a9a8-db2ff5778970' class='xr-var-data-in' type='checkbox'><label for='data-1f50976b-e679-44f2-a9a8-db2ff5778970' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abbrevs</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;WANorth&#x27; &#x27;WASouth&#x27; ... &#x27;AUS&#x27;</div><input id='attrs-ed6c6748-ed77-4f4f-8524-d88b305171a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed6c6748-ed77-4f4f-8524-d88b305171a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2742e443-5805-4b66-8a81-4a3cba8b19b6' class='xr-var-data-in' type='checkbox'><label for='data-2742e443-5805-4b66-8a81-4a3cba8b19b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;WANorth&#x27;, &#x27;WASouth&#x27;, &#x27;NSW&#x27;, &#x27;VIC&#x27;, &#x27;SA&#x27;, &#x27;TAS&#x27;, &#x27;NT&#x27;, &#x27;QLDNorth&#x27;,\n",
+       "       &#x27;QLDSouth&#x27;, &#x27;AUS&#x27;], dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>names</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>&lt;U48</div><div class='xr-var-preview xr-preview'>&#x27;Western Australia North&#x27; ... &#x27;A...</div><input id='attrs-9d684563-6cc1-4ccb-a4ab-e1509a820b3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d684563-6cc1-4ccb-a4ab-e1509a820b3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3429ead9-6625-4526-91c5-c9fa2fd0143a' class='xr-var-data-in' type='checkbox'><label for='data-3429ead9-6625-4526-91c5-c9fa2fd0143a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Western Australia North&#x27;, &#x27;Western Australia South&#x27;,\n",
+       "       &#x27;New South Wales and Australian Capital Territory&#x27;, &#x27;Victoria&#x27;,\n",
+       "       &#x27;South Australia&#x27;, &#x27;Tasmania&#x27;, &#x27;Northern Territory&#x27;,\n",
+       "       &#x27;Queensland North&#x27;, &#x27;Queensland South&#x27;, &#x27;Australia&#x27;], dtype=&#x27;&lt;U48&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77753445-02e3-4922-810f-9a5870fc8c7d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77753445-02e3-4922-810f-9a5870fc8c7d' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>HWAtx_mean</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>45.06 44.83 42.02 ... 43.39 43.58</div><input id='attrs-8a88455a-9eb8-4e9c-a893-e40026ac1fc1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a88455a-9eb8-4e9c-a893-e40026ac1fc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03cc761b-9154-4811-a851-9d6faf8b350c' class='xr-var-data-in' type='checkbox'><label for='data-03cc761b-9154-4811-a851-9d6faf8b350c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([45.05971841, 44.82770096, 42.0200767 , 40.35004075, 45.25291635,\n",
+       "       31.27554803, 43.5355631 , 40.94406727, 43.38972323, 43.57609395])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HWAtx_min</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.44 34.88 25.51 ... 31.27 23.35</div><input id='attrs-df0fabb9-5959-4dbb-a4ce-d6f288e83fa3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-df0fabb9-5959-4dbb-a4ce-d6f288e83fa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72b68754-4b32-4668-9036-aed35cabbf98' class='xr-var-data-in' type='checkbox'><label for='data-72b68754-4b32-4668-9036-aed35cabbf98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([37.441017, 34.88086 , 25.51328 , 27.232422, 35.41875 , 23.351954,\n",
+       "       35.55547 , 31.032812, 31.266016, 23.351954], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HWAtx_max</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>48.87 48.01 46.21 ... 47.3 48.87</div><input id='attrs-4a7766f4-f853-4945-9ba1-d94cf902df09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a7766f4-f853-4945-9ba1-d94cf902df09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6655f917-ddab-47a7-9da5-da1c28a9a960' class='xr-var-data-in' type='checkbox'><label for='data-6655f917-ddab-47a7-9da5-da1c28a9a960' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([48.871876, 48.007812, 46.21135 , 44.534374, 48.316612, 37.078125,\n",
+       "       47.290627, 45.41328 , 47.29961 , 48.871876], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-632873cc-1bbf-439f-83bf-00f5f7d7cd49' class='xr-section-summary-in' type='checkbox'  ><label for='section-632873cc-1bbf-439f-83bf-00f5f7d7cd49' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>region</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c911889-1411-49c0-b2ba-bb667dde78de' class='xr-index-data-in' type='checkbox'/><label for='index-7c911889-1411-49c0-b2ba-bb667dde78de' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;region&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88290f0a-4d42-4cdf-82b6-4c7a73ce6443' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-88290f0a-4d42-4cdf-82b6-4c7a73ce6443' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 2kB\n",
+       "Dimensions:     (region: 10)\n",
+       "Coordinates:\n",
+       "    quantile    float64 8B 0.5\n",
+       "  * region      (region) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
+       "    abbrevs     (region) <U8 320B 'WANorth' 'WASouth' 'NSW' ... 'QLDSouth' 'AUS'\n",
+       "    names       (region) <U48 2kB 'Western Australia North' ... 'Australia'\n",
+       "Data variables:\n",
+       "    HWAtx_mean  (region) float64 80B 45.06 44.83 42.02 ... 40.94 43.39 43.58\n",
+       "    HWAtx_min   (region) float32 40B 37.44 34.88 25.51 ... 31.03 31.27 23.35\n",
+       "    HWAtx_max   (region) float32 40B 48.87 48.01 46.21 ... 45.41 47.3 48.87"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# calculate the stats using the acs_region_fractional_stats function\n",
+    "# Find the min, mean, max value for each region\n",
+    "how = [\"mean\", \"min\", \"max\"]\n",
+    "outfile = filename.split('/')[-1].replace(\".nc\", f\"_summary-{'-'.join(how)}_ncra-regions.csv\")\n",
+    "da_summary = acs_regional_stats(ds=ds, \n",
+    "                                mask = \"fractional\", \n",
+    "                                dims=(\"lat\", \"lon\"),\n",
+    "                                how=how,\n",
+    "                                outfile = outfile)\n",
+    "da_summary\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "092486cf-b4d8-4e83-bd54-f0376366fe58",
+   "metadata": {},
+   "source": [
+    "# Access the docstring for more info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "08b5ad58-4b51-45f6-8a49-63cb992cc39a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m\n",
+       "\u001b[0mplot_acs_hazard\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'aus_states_territories'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mregions\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mstippling\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mmask_not_australia\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mfacecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0medgecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'black'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m6\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mdate_range\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mcrs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0marea_linewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mxlim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m110\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m170\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mylim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m45\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLinearSegmentedColormap\u001b[0m \u001b[0mobject\u001b[0m \u001b[0mat\u001b[0m \u001b[0;36m0x15243f99d030\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mcbar_extend\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'neither'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mticks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mtick_labels\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mcbar_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mbaseline\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mdataset_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0missued_date\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mlabel_states\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mcontourf\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mcontour\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mselect_area\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mland_shadow\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mwatermark\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'EXPERIMENTAL\\nIMAGE ONLY'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mwatermark_color\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'r'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0minfile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0moutfile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0msavefig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "This function takes a name of an Australian shapefile collection for data in \n",
+       "/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/ \n",
+       "and hazard data from a 2D Xarray data array\n",
+       "and plots the data on a map of Australia with the shape outlines.\n",
+       "\n",
+       "Parameters\n",
+       "----------\n",
+       "name: str\n",
+       "    name of a shapefile collection in \n",
+       "    /g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/\n",
+       "    to get regions from.\n",
+       "\n",
+       "regions: geopandas.GeoDataFrame\n",
+       "    if None, then will try to read from regions_dict[{name}].\n",
+       "\n",
+       "data: xr.DataArray\n",
+       "    a 2D xarray DataArray which has already computed the \n",
+       "    average, sum, anomaly, metric or index you wish to visualise.\n",
+       "    This function is resolution agnostic.\n",
+       "\n",
+       "stippling: xr.DataArray\n",
+       "    a True/False to define regions of stippling hatching. \n",
+       "    Intended to show model agreement, eg for direction of change.\n",
+       "\n",
+       "mask_not_australia: boolean\n",
+       "    decides whether or not the area outside of Australian land is hidden.\n",
+       "    Default is True.\n",
+       "\n",
+       "facecolor: color\n",
+       "    color of land when you plot the regions without climate data. \n",
+       "    facecolor recommendations include \"white\", \"lightgrey\", \"none\".\n",
+       "\n",
+       "edgecolor: color\n",
+       "    defines the color of the state/region borders. \n",
+       "    edgecolor recommendations include \"black\" and \"white\".\n",
+       "\n",
+       "figsize: tuple\n",
+       "    defines the width and height of the figure in inches.\n",
+       "    Reccommend (8,6) for Australia-wide plots and (6,6) for individual states\n",
+       "\n",
+       "title: str\n",
+       "    defines the text inside the plot.\n",
+       "    If none is given, then will print the name of the shape file.\n",
+       "\n",
+       "date_range: str\n",
+       "    decribes the start and end date of the data analysed. \n",
+       "    This is printed under the title. \n",
+       "    format: dd Month yyyy to dd Month yyy.\n",
+       "\n",
+       "crs: optional\n",
+       "    defines the coordinate reference system. Similar to transform or projection.\n",
+       "\n",
+       "area_linewidth: float, optional\n",
+       "    the width of state/region borders only. All other linewidths are hardcoded.\n",
+       "\n",
+       "xlim: tuple, optional\n",
+       "    longitude min and max of the plot area.\n",
+       "\n",
+       "ylim: tuple, optional\n",
+       "    latitude min and max of the plot area.\n",
+       "\n",
+       "cmap:\n",
+       "    defines the colormap used for the data.\n",
+       "    See cmap_dict for suggested colormaps.\n",
+       "    If none, cmap set to cm.Greens.\n",
+       "    Please choose appropriate colormap for your data.\n",
+       "\n",
+       "cbar_extend: one of {'neither', 'both', 'min', 'max'}.\n",
+       "    eg \"both\" changes the ends of the colorbar to arrows to indicate that\n",
+       "    values are possible outside the scale show.\n",
+       "    If contour or contourfise True, then cbar_extend will be overridden to \"none\".\n",
+       "\n",
+       "ticks: list or arraylike\n",
+       "    Define the ticks on the colorbar. Define any number of intervals. \n",
+       "    This will make the color for each interval one discrete color, \n",
+       "    instead of a smooth color gradient.\n",
+       "    If None, linear ticks will be auto-generated to fit the provided data.\n",
+       "\n",
+       "tick_labels: list\n",
+       "    Labels for categorical data. \n",
+       "    If tick_labels is used, then pcolormesh is used to plot data \n",
+       "    and does not allow contour or contourf to be used.\n",
+       "    Tick labels will correspond to the ticks.\n",
+       "\n",
+       "cbar_label: string\n",
+       "    defines the title for the color bar. \n",
+       "    This should indicate the variable name and the units eg \n",
+       "    \"daily rainfall [mm]\",\n",
+       "    \"annual rainfall [mm]\", \n",
+       "    \"monthly rainfall anomaly [mm]\",\n",
+       "    \"tas [°C]\".\n",
+       "\n",
+       "baseline: string\n",
+       "    the baseline period for anomalies, eg \"1961 - 1990\".\n",
+       "\n",
+       "dataset_name: string\n",
+       "    describes the source of the data eg \"AGCD v2\" or \"BARPA-R ACCESS-CM2\"\n",
+       "\n",
+       "issued_date: string\n",
+       "    The date of issue. If None is supplied, then today's date is printed.\n",
+       "\n",
+       "label_states: bool\n",
+       "    if set to True and Australian states are the shapefile selected,\n",
+       "    then each state is labelled with its three-letter abbreviation. \n",
+       "    Default False.\n",
+       "\n",
+       "contourf: bool\n",
+       "    if True then the gridded data is visualised as smoothed filled contours. \n",
+       "    Default is False.\n",
+       "    Use with caution when plotting data with negative and positive values;\n",
+       "    Check output for NaNs and misaligned values.  \n",
+       "\n",
+       "contour: bool\n",
+       "    if True then the gridded data is visualised as smoothed unfilled grey contours.\n",
+       "    Default is True.\n",
+       "    Using both contourf and contour results in smooth filled contours\n",
+       "    with grey outlines between the color levels.\n",
+       "\n",
+       "select_area: list\n",
+       "    A list of areas (eg states) that are in the geopandas.GeoDataFrame.\n",
+       "    Inspect the regions gdf for area names. eg [\"Victoria\", \"New South Wales\"]\n",
+       "\n",
+       "land_shadow: bool\n",
+       "    Used when select_area is not None. \n",
+       "    This option controls whether to show Australian land area that is outside \n",
+       "    the select area in grey for visual context.\n",
+       "    Default False.\n",
+       "\n",
+       "watermark: str\n",
+       "    text over the plot for images not in their final form. \n",
+       "    If the plot is in final form, set to None. \n",
+       "    Suggestions include \"PRELIMINARY DATA\", \"DRAFT ONLY\", \n",
+       "    \"SAMPLE ONLY (NOT A FORECAST)\", \"EXPERIMENTAL IMAGE ONLY\"\n",
+       "\n",
+       "watermark_color: default \"r\"\n",
+       "    for the watermark, this changes the colour of the text.\n",
+       "    The default is red. Only change color if red is not visible. \n",
+       "\n",
+       "infile: str\n",
+       "    Not yet tested. \n",
+       "    The idea is to read in 2D netCDF data and use this as the mappable data.\n",
+       "\n",
+       "outfile: str\n",
+       "    The location to save the figure. \n",
+       "    If None, then figure is saved here f\"figures/{title.replace(' ', '_')}.png\"\n",
+       "\n",
+       "savefig: bool\n",
+       "    default is True\n",
+       "    If set to False, then fig is not saved.\n",
+       "\n",
+       "Returns\n",
+       "-------\n",
+       "The map is saved as a png in a \"figures\" file in your working directory.\n",
+       "This function returns fig and ax.\n",
+       "\u001b[0;31mFile:\u001b[0m      /g/data/mn51/users/gt3409/plotting_maps/acs_plotting_maps.py\n",
+       "\u001b[0;31mType:\u001b[0m      function"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_acs_hazard?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "7c646616-0d96-464c-a07d-2b354812acdf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m\n",
+       "\u001b[0macs_regional_stats\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mds\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0minfile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mvar\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mmask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mstart\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mend\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mdims\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mhow\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0moutfile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mselect_abbr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mselect_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0moverlap_threshold\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mbin_labels\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "This function takes an Xarray dataset (ds) with variable (var)\n",
+       "and multiple dimensions (eg time, lat, and lon),\n",
+       "then selects the time range between two years (start and end),\n",
+       "and applies regions.mask_3D_frac_approx fractional mask (frac)\n",
+       "to compute a regional statistic (how, eg \"mean\") over two or three dimensions.\n",
+       "Best used with numerical data without nans.\n",
+       "\n",
+       "Parameters\n",
+       "----------\n",
+       "ds: xr.Dataset or xr.DataArray\n",
+       "    expects an xr.Dataset with variable var and dimensions time, lat, and lon.\n",
+       "\n",
+       "infile: str\n",
+       "    NetCDF file to read in as xr.Dataset\n",
+       "\n",
+       "var: str\n",
+       "    name of variable in ds, eg \"pr\" or \"tas\".\n",
+       "    If None, then tries to infer the var name from the data\n",
+       "\n",
+       "mask:  xarray.DataArray 'mask' or [\"fractional\", \"centred\", \"min_overlap\"]\n",
+       "    expects a precalculated mask, or will calculate one of the three options. \n",
+       "    If \"min_overlap\" selected, you must provide an overlap_threshold value.\n",
+       "    fractional mask from regionmask.from_geopandas(ncra_gdf, \n",
+       "                                                   names=\"NAME\",\n",
+       "                                                   abbrevs=\"abbrevs\"\n",
+       "                                                   ).mask_3D_frac_approx(ds).\n",
+       "    If None is provided, then will calculate a fractional mask based on NCRA regions,\n",
+       "    but this will take about one minute to calculate.\n",
+       "    This is best avoided by calculating frac outside the function.\n",
+       "\n",
+       "start: string or int\n",
+       "    start year to slice data array. eg start year of global warming level GWL. \n",
+       "    If either start or end is None, then time selection is not performed.\n",
+       "\n",
+       "end: string or int\n",
+       "    end year to slice data array. eg end year of global warming level GWL.\n",
+       "    If either start or end is None, then time selection is not performed.\n",
+       "\n",
+       "dims: tuple of dimensions\n",
+       "    Dimensions to reduce data. If None, will reduce to one value per region. \n",
+       "    Suggestion to reduce to one value per region: dims= (\"time\", \"lat\", \"lon\"). \n",
+       "    Or to reduce to 1D time series per region (\"lat\", \"lon\").\n",
+       "\n",
+       "how: list of str\n",
+       "    List of statistics to reduce data. \n",
+       "    List of ['mean', 'median', 'min', 'max', 'sum', 'std', 'var', 'p10', 'p90']. \n",
+       "    (any pxx where xx is between 0 and 100)\n",
+       "\n",
+       "quantile: float [0.0,1.], optional\n",
+       "    REPLACED with how = \"pxx\" where xx is number between 0 and 100. Percentile to calculate.\n",
+       "\n",
+       "outfile: str\n",
+       "    csv filename to save dataframe.\n",
+       "\n",
+       "select_abbr: list of str\n",
+       "    list of regions by abbreviation to perform statistic on. eg [\"VIC\", \"NSW\"]\n",
+       "\n",
+       "select_name: list of str\n",
+       "    list of regions by name to perform statistic on.  eg [\"Victoria\", \"New South Wales & ACT\"]\n",
+       "\n",
+       "overlap_threshold: float between 0.0 and 1.\n",
+       "    If mask =  \"min_overlap\", you must provide an overlap_threshold value.\n",
+       "    If mask != \"min_overlap\", this value will be ignored.\n",
+       "\n",
+       "bins: int, sequence of scalars, or IntervalIndex\n",
+       "    For categorical data. The criteria to bin by using pandas.cut 'bins'\n",
+       "\n",
+       "bin_labels: array or False, default None\n",
+       "    For labeled categorical data.\n",
+       "    passed to pandas.cut 'labels'\n",
+       "    Specifies the labels for the returned bins. Must be the same length as the resulting bins. \n",
+       "\n",
+       "Returns\n",
+       "-------\n",
+       "An xarray.DataArray (1D or 2D) with dimension called \"region\" and values of regional statistics.\n",
+       "If no valid statistic is called through how, then the DataArrayWeighted is returned\n",
+       "\n",
+       "\n",
+       "Example usage\n",
+       "--------------\n",
+       "# open data\n",
+       "ds = xr.open_dataset(filename, use_cftime = True,)\n",
+       "# define mask\n",
+       "mask_frac = regions.mask_3D_frac_approx(ds)\n",
+       "\n",
+       "# apply function\n",
+       "da_mean = acs_regional_stats(ds=ds, \n",
+       "                             var=\"pr\",\n",
+       "                             mask=mask_frac,\n",
+       "                             dims=(\"lat\", \"lon\"),\n",
+       "                             how=[\"mean\"])\n",
+       "\u001b[0;31mFile:\u001b[0m      /g/data/mn51/users/gt3409/plotting_maps/acs_area_statistics.py\n",
+       "\u001b[0;31mType:\u001b[0m      function"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "acs_regional_stats?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "228c996d-e232-4385-8d66-f0a4105c3429",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:analysis3-24.04] *",
+   "language": "python",
+   "name": "conda-env-analysis3-24.04-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
