From 097179ae1f9ef10c80abadbea1b39ca532ab2157 Mon Sep 17 00:00:00 2001
From: Julia Kent <46687291+jukent@users.noreply.github.com>
Date: Wed, 22 Nov 2023 08:06:02 -0700
Subject: [PATCH] use gdf

---
 notebooks/taylor-diagrams.ipynb | 2252 +------------------------------
 1 file changed, 62 insertions(+), 2190 deletions(-)

diff --git a/notebooks/taylor-diagrams.ipynb b/notebooks/taylor-diagrams.ipynb
index d9bb62e..40b2448 100644
--- a/notebooks/taylor-diagrams.ipynb
+++ b/notebooks/taylor-diagrams.ipynb
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,23 +75,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Create figure and Taylor Diagram instance\n",
-    "fig = plt.figure(figsize=(8, 8))\n",
+    "fig = plt.figure(figsize=(12, 12))\n",
     "taylor = gv.TaylorDiagram(fig=fig, label='REF')\n",
     "\n",
     "# Draw diagonal dashed lines from origin to correlation values\n",
@@ -139,832 +128,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<defs>\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:              (initial_time0_hours: 8040)\n",
-       "Coordinates:\n",
-       "  * initial_time0_hours  (initial_time0_hours) datetime64[ns] 2022-01-01 ... ...\n",
-       "Data variables:\n",
-       "    2T_GDS0_SFC          (initial_time0_hours) float32 ...\n",
-       "    SP_GDS0_SFC          (initial_time0_hours) float32 ...</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-a6de4d5b-fdc2-4e41-8fbb-a91cc838c1e0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a6de4d5b-fdc2-4e41-8fbb-a91cc838c1e0' 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'>initial_time0_hours</span>: 8040</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d06133af-1b6f-4718-b51f-aa6130ba3c59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d06133af-1b6f-4718-b51f-aa6130ba3c59' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>initial_time0_hours</span></div><div class='xr-var-dims'>(initial_time0_hours)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-2454f4d8-4356-4f63-8dc4-c0a60bfc7f5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2454f4d8-4356-4f63-8dc4-c0a60bfc7f5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbab115d-9a37-4101-93f6-1c69aafc5b1b' class='xr-var-data-in' type='checkbox'><label for='data-bbab115d-9a37-4101-93f6-1c69aafc5b1b' 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>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af21fc7f-6be7-4b73-b785-c348c008c1b5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-af21fc7f-6be7-4b73-b785-c348c008c1b5' class='xr-section-summary' >Data variables: <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-var-name'><span>2T_GDS0_SFC</span></div><div class='xr-var-dims'>(initial_time0_hours)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-696499b8-2072-4ef3-bfde-0fbd23245875' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-696499b8-2072-4ef3-bfde-0fbd23245875' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dfa0739-89fa-4917-bd72-87ab6f4081d5' class='xr-var-data-in' type='checkbox'><label for='data-2dfa0739-89fa-4917-bd72-87ab6f4081d5' 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>2 meter Temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[8040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SP_GDS0_SFC</span></div><div class='xr-var-dims'>(initial_time0_hours)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9108e6c4-ccea-43c0-94c9-8f6d76c3fd89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9108e6c4-ccea-43c0-94c9-8f6d76c3fd89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6be1aff7-ad26-43fc-b0e3-775be274370d' class='xr-var-data-in' type='checkbox'><label for='data-6be1aff7-ad26-43fc-b0e3-775be274370d' 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>Surface Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[8040 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77e41a00-15bd-4ee1-b274-9e4dd6954932' class='xr-section-summary-in' type='checkbox'  ><label for='section-77e41a00-15bd-4ee1-b274-9e4dd6954932' 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>initial_time0_hours</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4e942e14-c147-4545-8a0f-836daee0d366' class='xr-index-data-in' type='checkbox'/><label for='index-4e942e14-c147-4545-8a0f-836daee0d366' 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(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
-       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
-       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
-       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
-       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
-       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
-       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
-       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
-       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;initial_time0_hours&#x27;, length=8040, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3fe7efb3-8005-4ab3-b8ab-35d2029964a2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3fe7efb3-8005-4ab3-b8ab-35d2029964a2' 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>"
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-       "<xarray.Dataset>\n",
-       "Dimensions:              (initial_time0_hours: 8040)\n",
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-       "  * initial_time0_hours  (initial_time0_hours) datetime64[ns] 2022-01-01 ... ...\n",
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-       "    SP_GDS0_SFC          (initial_time0_hours) float32 ..."
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-     },
-     "execution_count": 107,
-     "metadata": {},
-     "output_type": "execute_result"
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-   ],
+   "outputs": [],
    "source": [
-    "era5 = xr.open_dataset('../data/era5_2022_2mtemp_spres_xyav.nc')\n",
+    "era5 = xr.open_dataset(gdf.get('netcdf_files/era5_2022_2mtemp_spres_xyav.nc'))\n",
     "era5"
    ]
   },
   {
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-   "execution_count": 75,
+   "execution_count": null,
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-   "outputs": [
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-      "/var/folders/dd/_xm_pbpd3flgbvbnt7qhd70snnbpj_/T/ipykernel_6349/1419840240.py:3: FutureWarning: Following pandas, the `loffset` parameter to resample will be deprecated in a future version of xarray.  Switch to using time offset arithmetic.\n",
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-       "       &#x27;2022-09-16T00:00:00.000000000&#x27;, &#x27;2022-10-16T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-11-16T00:00:00.000000000&#x27;, &#x27;2022-12-16T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d68d3c75-c1c0-4c1a-abae-e3da7547e0e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d68d3c75-c1c0-4c1a-abae-e3da7547e0e3' class='xr-section-summary' >Data variables: <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-var-name'><span>2T_GDS0_SFC</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>277.2 277.0 277.1 ... 277.7 277.7</div><input id='attrs-245cb395-5e39-4e9c-852d-9718c19b1359' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-245cb395-5e39-4e9c-852d-9718c19b1359' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3dfc50c-1ce3-40ba-bbc9-4bf4d6b40221' class='xr-var-data-in' type='checkbox'><label for='data-f3dfc50c-1ce3-40ba-bbc9-4bf4d6b40221' 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>2 meter Temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array([277.24756, 277.00116, 277.1267 ,       nan, 279.67548, 281.2928 ,\n",
-       "       281.5387 , 281.20755, 280.13947, 279.15546, 277.7269 , 277.6502 ],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SP_GDS0_SFC</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.666e+04 9.664e+04 ... 9.67e+04</div><input id='attrs-f097304d-ffae-48ef-ab4c-02c78abaa480' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f097304d-ffae-48ef-ab4c-02c78abaa480' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8f5a893-52db-4697-9df3-dcefae0d66c4' class='xr-var-data-in' type='checkbox'><label for='data-b8f5a893-52db-4697-9df3-dcefae0d66c4' 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>Surface Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([96656.375, 96643.06 , 96663.45 ,       nan, 96644.41 , 96716.69 ,\n",
-       "       96585.77 , 96591.51 , 96566.99 , 96530.29 , 96549.9  , 96696.65 ],\n",
-       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-243fdc61-8c5a-4a40-8fb7-42ad90d76c7d' class='xr-section-summary-in' type='checkbox'  ><label for='section-243fdc61-8c5a-4a40-8fb7-42ad90d76c7d' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e666ce14-f1e1-4e0e-85c1-e190b34f733a' class='xr-index-data-in' type='checkbox'/><label for='index-e666ce14-f1e1-4e0e-85c1-e190b34f733a' 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(DatetimeIndex([&#x27;2022-01-16&#x27;, &#x27;2022-02-16&#x27;, &#x27;2022-03-16&#x27;, &#x27;2022-04-16&#x27;,\n",
-       "               &#x27;2022-05-16&#x27;, &#x27;2022-06-16&#x27;, &#x27;2022-07-16&#x27;, &#x27;2022-08-16&#x27;,\n",
-       "               &#x27;2022-09-16&#x27;, &#x27;2022-10-16&#x27;, &#x27;2022-11-16&#x27;, &#x27;2022-12-16&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2fbffab-f50a-4198-af39-5a1856ea048e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2fbffab-f50a-4198-af39-5a1856ea048e' 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>\n",
-       "Dimensions:      (time: 12)\n",
-       "Coordinates:\n",
-       "  * time         (time) datetime64[ns] 2022-01-16 2022-02-16 ... 2022-12-16\n",
-       "Data variables:\n",
-       "    2T_GDS0_SFC  (time) float32 277.2 277.0 277.1 nan ... 279.2 277.7 277.7\n",
-       "    SP_GDS0_SFC  (time) float32 9.666e+04 9.664e+04 ... 9.655e+04 9.67e+04"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Change hourly data to monthly\n",
     "era5 = era5.rename({'initial_time0_hours': 'time'}) # Changing dimension name for convenience\n",
@@ -975,413 +151,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;2T_GDS0_SFC&#x27; (time: 12)&gt;\n",
-       "array([277.24756, 277.00116, 277.1267 ,       nan, 279.67548, 281.2928 ,\n",
-       "       281.5387 , 281.20755, 280.13947, 279.15546, 277.7269 , 277.6502 ],\n",
-       "      dtype=float32)\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 2022-01-16 2022-02-16 ... 2022-12-16\n",
-       "Attributes:\n",
-       "    long_name:  2 meter Temperature\n",
-       "    units:      K</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'2T_GDS0_SFC'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-599acc43-fd41-4837-bef6-27a83501886f' class='xr-array-in' type='checkbox' checked><label for='section-599acc43-fd41-4837-bef6-27a83501886f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.2 277.0 277.1 nan 279.7 281.3 281.5 281.2 280.1 279.2 277.7 277.7</span></div><div class='xr-array-data'><pre>array([277.24756, 277.00116, 277.1267 ,       nan, 279.67548, 281.2928 ,\n",
-       "       281.5387 , 281.20755, 280.13947, 279.15546, 277.7269 , 277.6502 ],\n",
-       "      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6f3419bb-5827-4559-9efa-1b5622a19597' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f3419bb-5827-4559-9efa-1b5622a19597' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-16 ... 2022-12-16</div><input id='attrs-c0a3fb7e-e1a7-4a39-99c1-9e2c2aef5c3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0a3fb7e-e1a7-4a39-99c1-9e2c2aef5c3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db42262b-3ed3-4e13-bb8d-b70c6163f987' class='xr-var-data-in' type='checkbox'><label for='data-db42262b-3ed3-4e13-bb8d-b70c6163f987' 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>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-16T00:00:00.000000000&#x27;, &#x27;2022-02-16T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-03-16T00:00:00.000000000&#x27;, &#x27;2022-04-16T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-05-16T00:00:00.000000000&#x27;, &#x27;2022-06-16T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-07-16T00:00:00.000000000&#x27;, &#x27;2022-08-16T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-09-16T00:00:00.000000000&#x27;, &#x27;2022-10-16T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-11-16T00:00:00.000000000&#x27;, &#x27;2022-12-16T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-62021fc6-bb86-4ecf-a2cc-4692f066625a' class='xr-section-summary-in' type='checkbox'  ><label for='section-62021fc6-bb86-4ecf-a2cc-4692f066625a' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d23b0c27-f5cd-4f72-b069-14bdc28cae97' class='xr-index-data-in' type='checkbox'/><label for='index-d23b0c27-f5cd-4f72-b069-14bdc28cae97' 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(DatetimeIndex([&#x27;2022-01-16&#x27;, &#x27;2022-02-16&#x27;, &#x27;2022-03-16&#x27;, &#x27;2022-04-16&#x27;,\n",
-       "               &#x27;2022-05-16&#x27;, &#x27;2022-06-16&#x27;, &#x27;2022-07-16&#x27;, &#x27;2022-08-16&#x27;,\n",
-       "               &#x27;2022-09-16&#x27;, &#x27;2022-10-16&#x27;, &#x27;2022-11-16&#x27;, &#x27;2022-12-16&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76a21646-b112-4dcf-928b-fb4f462cb9b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-76a21646-b112-4dcf-928b-fb4f462cb9b0' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 meter Temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray '2T_GDS0_SFC' (time: 12)>\n",
-       "array([277.24756, 277.00116, 277.1267 ,       nan, 279.67548, 281.2928 ,\n",
-       "       281.5387 , 281.20755, 280.13947, 279.15546, 277.7269 , 277.6502 ],\n",
-       "      dtype=float32)\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 2022-01-16 2022-02-16 ... 2022-12-16\n",
-       "Attributes:\n",
-       "    long_name:  2 meter Temperature\n",
-       "    units:      K"
-      ]
-     },
-     "execution_count": 108,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "era5_temp = era5_resampled['2T_GDS0_SFC'] # Because this variable name starts with a number `era5_resampled.2T_GDS0_SFC` would give an error\n",
     "era5_ps = era5_resampled['SP_GDS0_SFC']\n",
@@ -1403,890 +175,20 @@
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-       "  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;\n",
-       "Dimensions:  (time: 12)\n",
-       "Coordinates:\n",
-       "  * time     (time) object 2022-01-16 12:00:00 ... 2022-12-16 12:00:00\n",
-       "    height   float64 ...\n",
-       "Data variables:\n",
-       "    r1i1p1   (time) float32 ...\n",
-       "    r2i1p1   (time) float32 ...\n",
-       "    r3i1p1   (time) float32 ...\n",
-       "    r4i1p1   (time) float32 ...\n",
-       "    r5i1p1   (time) float32 ...\n",
-       "Attributes:\n",
-       "    standard_name:     air_temperature\n",
-       "    long_name:         Near-Surface Air Temperature\n",
-       "    units:             K\n",
-       "    original_name:     ST\n",
-       "    cell_methods:      time: mean (interval: 15 minutes)\n",
-       "    cell_measures:     area: areacella\n",
-       "    history:           2011-03-10T05:13:26Z altered by CMOR: Treated scalar d...\n",
-       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...\n",
-       "    rcp:               rcp85</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-5bc6a204-9630-476a-94c6-e37926981b01' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5bc6a204-9630-476a-94c6-e37926981b01' 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'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6c08b79c-8806-4c91-bcb0-6dd08b97e204' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6c08b79c-8806-4c91-bcb0-6dd08b97e204' class='xr-section-summary' >Coordinates: <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-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2022-01-16 12:00:00 ... 2022-12-...</div><input id='attrs-27180a74-fbb9-4891-a45e-71bd9cbed559' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27180a74-fbb9-4891-a45e-71bd9cbed559' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d9ba8f5-4219-451e-977c-15bb26bc91a8' class='xr-var-data-in' type='checkbox'><label for='data-4d9ba8f5-4219-451e-977c-15bb26bc91a8' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2022, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2022, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</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-1f118c6b-ba98-465b-a2e8-4775101142b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f118c6b-ba98-465b-a2e8-4775101142b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee647dda-3ba3-4a75-8ee6-a6d348d0e032' class='xr-var-data-in' type='checkbox'><label for='data-ee647dda-3ba3-4a75-8ee6-a6d348d0e032' 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>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></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-67f24771-02c0-4ef9-a099-f8c5abcd3216' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67f24771-02c0-4ef9-a099-f8c5abcd3216' class='xr-section-summary' >Data variables: <span>(5)</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>r1i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ee2ee25-2d62-4f0c-a654-194f6a6a17ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ee2ee25-2d62-4f0c-a654-194f6a6a17ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-814f0aae-45b4-4b98-b19a-7fc6d984e3ed' class='xr-var-data-in' type='checkbox'><label for='data-814f0aae-45b4-4b98-b19a-7fc6d984e3ed' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-10T05:13:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-10T05:13:26Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r2i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7410103-4cf2-4434-829c-6685f3321f56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7410103-4cf2-4434-829c-6685f3321f56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bea04679-c4c1-415d-98e4-4a7d7adfc77a' class='xr-var-data-in' type='checkbox'><label for='data-bea04679-c4c1-415d-98e4-4a7d7adfc77a' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T00:52:25Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T00:52:25Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r3i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96b59323-4b83-41bc-b71b-28020137aabb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96b59323-4b83-41bc-b71b-28020137aabb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-276e03c4-1a6a-4b80-9df5-4564f91ece58' class='xr-var-data-in' type='checkbox'><label for='data-276e03c4-1a6a-4b80-9df5-4564f91ece58' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T06:39:54Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T06:39:54Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r4i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15019b9d-1d3a-42ac-9db3-a9e6c147df29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15019b9d-1d3a-42ac-9db3-a9e6c147df29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-137dfabb-e2f4-48f9-8034-e476e7174e3a' class='xr-var-data-in' type='checkbox'><label for='data-137dfabb-e2f4-48f9-8034-e476e7174e3a' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T02:31:46Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T02:31:46Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r5i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5f84663-8948-4b0e-93b6-6dee9d96b006' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5f84663-8948-4b0e-93b6-6dee9d96b006' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a29830c4-b39f-460c-984c-8fa6ace4d65a' class='xr-var-data-in' type='checkbox'><label for='data-a29830c4-b39f-460c-984c-8fa6ace4d65a' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-15T18:57:44Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-15T18:57:44Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e345212-f542-4f2f-bb69-c6febbe49dc0' class='xr-section-summary-in' type='checkbox'  ><label for='section-7e345212-f542-4f2f-bb69-c6febbe49dc0' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0f5a0491-3d8e-4b61-a221-1926afbfdc19' class='xr-index-data-in' type='checkbox'/><label for='index-0f5a0491-3d8e-4b61-a221-1926afbfdc19' 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(CFTimeIndex([2022-01-16 12:00:00, 2022-02-15 00:00:00, 2022-03-16 12:00:00,\n",
-       "             2022-04-16 00:00:00, 2022-05-16 12:00:00, 2022-06-16 00:00:00,\n",
-       "             2022-07-16 12:00:00, 2022-08-16 12:00:00, 2022-09-16 00:00:00,\n",
-       "             2022-10-16 12:00:00, 2022-11-16 00:00:00, 2022-12-16 12:00:00],\n",
-       "            dtype=&#x27;object&#x27;, length=12, calendar=&#x27;noleap&#x27;, freq=&#x27;None&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3b7481b-d907-43e4-bf61-7e77252bff40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f3b7481b-d907-43e4-bf61-7e77252bff40' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-10T05:13:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-10T05:13:26Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:  (time: 12)\n",
-       "Coordinates:\n",
-       "  * time     (time) object 2022-01-16 12:00:00 ... 2022-12-16 12:00:00\n",
-       "    height   float64 ...\n",
-       "Data variables:\n",
-       "    r1i1p1   (time) float32 ...\n",
-       "    r2i1p1   (time) float32 ...\n",
-       "    r3i1p1   (time) float32 ...\n",
-       "    r4i1p1   (time) float32 ...\n",
-       "    r5i1p1   (time) float32 ...\n",
-       "Attributes:\n",
-       "    standard_name:     air_temperature\n",
-       "    long_name:         Near-Surface Air Temperature\n",
-       "    units:             K\n",
-       "    original_name:     ST\n",
-       "    cell_methods:      time: mean (interval: 15 minutes)\n",
-       "    cell_measures:     area: areacella\n",
-       "    history:           2011-03-10T05:13:26Z altered by CMOR: Treated scalar d...\n",
-       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...\n",
-       "    rcp:               rcp85"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "tas_rcp85 = xr.open_dataset('../data/tas_Amon_CanESM2_rcp85_2022_xyav.nc')\n",
+    "tas_rcp85 = xr.open_dataset(gdf.get('netcdf_files/tas_Amon_CanESM2_rcp85_2022_xyav.nc'))\n",
     "\n",
     "tas_rcp85"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/dd/_xm_pbpd3flgbvbnt7qhd70snnbpj_/T/ipykernel_6349/3930724370.py:1: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
-      "  tas_rcp85['time'] = tas_rcp85.indexes['time'].to_datetimeindex()\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
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-       "<defs>\n",
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-       "\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (time: 12)\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 2022-01-16T12:00:00 ... 2022-12-16T12:00:00\n",
-       "    height   float64 ...\n",
-       "Data variables:\n",
-       "    r1i1p1   (time) float32 ...\n",
-       "    r2i1p1   (time) float32 ...\n",
-       "    r3i1p1   (time) float32 ...\n",
-       "    r4i1p1   (time) float32 ...\n",
-       "    r5i1p1   (time) float32 ...\n",
-       "Attributes:\n",
-       "    standard_name:     air_temperature\n",
-       "    long_name:         Near-Surface Air Temperature\n",
-       "    units:             K\n",
-       "    original_name:     ST\n",
-       "    cell_methods:      time: mean (interval: 15 minutes)\n",
-       "    cell_measures:     area: areacella\n",
-       "    history:           2011-03-10T05:13:26Z altered by CMOR: Treated scalar d...\n",
-       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...\n",
-       "    rcp:               rcp85</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-449c1978-afe9-47dd-9f2b-f6892d14abf0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-449c1978-afe9-47dd-9f2b-f6892d14abf0' 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'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2228f9cf-849f-4b56-a08e-4f0ba64e9c3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2228f9cf-849f-4b56-a08e-4f0ba64e9c3e' class='xr-section-summary' >Coordinates: <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-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-16T12:00:00 ... 2022-12-...</div><input id='attrs-b05c494c-2447-4a17-aeee-7586bb682e25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b05c494c-2447-4a17-aeee-7586bb682e25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cc0baa6-db36-40a6-9eac-30ce0885e8fb' class='xr-var-data-in' type='checkbox'><label for='data-2cc0baa6-db36-40a6-9eac-30ce0885e8fb' 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;2022-01-16T12:00:00.000000000&#x27;, &#x27;2022-02-15T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-03-16T12:00:00.000000000&#x27;, &#x27;2022-04-16T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-05-16T12:00:00.000000000&#x27;, &#x27;2022-06-16T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-07-16T12:00:00.000000000&#x27;, &#x27;2022-08-16T12:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-09-16T00:00:00.000000000&#x27;, &#x27;2022-10-16T12:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-11-16T00:00:00.000000000&#x27;, &#x27;2022-12-16T12:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</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-8365b6a9-bb2a-4e0a-beb5-4eeac432e7f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8365b6a9-bb2a-4e0a-beb5-4eeac432e7f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7664a72-1f2e-4ae4-8319-28d9c45040ab' class='xr-var-data-in' type='checkbox'><label for='data-e7664a72-1f2e-4ae4-8319-28d9c45040ab' 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>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></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-596b1190-d806-4058-acb8-9f16a13eb9bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-596b1190-d806-4058-acb8-9f16a13eb9bc' class='xr-section-summary' >Data variables: <span>(5)</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>r1i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74ea7e51-1861-4767-b1ce-855c35c345fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74ea7e51-1861-4767-b1ce-855c35c345fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb007648-f1dd-4184-9946-020bce1923b7' class='xr-var-data-in' type='checkbox'><label for='data-fb007648-f1dd-4184-9946-020bce1923b7' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-10T05:13:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-10T05:13:26Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r2i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fa2fd01-2383-40b5-9159-678c21c38fea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fa2fd01-2383-40b5-9159-678c21c38fea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15c1f8b5-2b19-4072-9810-5868bceb6f0e' class='xr-var-data-in' type='checkbox'><label for='data-15c1f8b5-2b19-4072-9810-5868bceb6f0e' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T00:52:25Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T00:52:25Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r3i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e6800aca-ef67-4351-8651-5e3df151bb6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6800aca-ef67-4351-8651-5e3df151bb6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51178b8a-d3ad-4f53-b755-6e959fa4fcf9' class='xr-var-data-in' type='checkbox'><label for='data-51178b8a-d3ad-4f53-b755-6e959fa4fcf9' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T06:39:54Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T06:39:54Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r4i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a2298df-01df-43cb-bf52-3767bb89c295' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a2298df-01df-43cb-bf52-3767bb89c295' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-692cbcdc-7d23-470c-85d5-117bc09f59e3' class='xr-var-data-in' type='checkbox'><label for='data-692cbcdc-7d23-470c-85d5-117bc09f59e3' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T02:31:46Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T02:31:46Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r5i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-83f564aa-c80e-4900-b954-6c347ee49879' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83f564aa-c80e-4900-b954-6c347ee49879' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1e6f438-fad7-4284-8b42-8573f94b2063' class='xr-var-data-in' type='checkbox'><label for='data-d1e6f438-fad7-4284-8b42-8573f94b2063' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-15T18:57:44Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-15T18:57:44Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-338d73cf-e142-499d-be37-4e529aecccc7' class='xr-section-summary-in' type='checkbox'  ><label for='section-338d73cf-e142-499d-be37-4e529aecccc7' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ba0c0f2b-00fd-4819-9515-0d6f87bee0f1' class='xr-index-data-in' type='checkbox'/><label for='index-ba0c0f2b-00fd-4819-9515-0d6f87bee0f1' 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(DatetimeIndex([&#x27;2022-01-16 12:00:00&#x27;, &#x27;2022-02-15 00:00:00&#x27;,\n",
-       "               &#x27;2022-03-16 12:00:00&#x27;, &#x27;2022-04-16 00:00:00&#x27;,\n",
-       "               &#x27;2022-05-16 12:00:00&#x27;, &#x27;2022-06-16 00:00:00&#x27;,\n",
-       "               &#x27;2022-07-16 12:00:00&#x27;, &#x27;2022-08-16 12:00:00&#x27;,\n",
-       "               &#x27;2022-09-16 00:00:00&#x27;, &#x27;2022-10-16 12:00:00&#x27;,\n",
-       "               &#x27;2022-11-16 00:00:00&#x27;, &#x27;2022-12-16 12:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af42d1ba-dab1-4037-9149-09fd28499f84' class='xr-section-summary-in' type='checkbox'  checked><label for='section-af42d1ba-dab1-4037-9149-09fd28499f84' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-10T05:13:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-10T05:13:26Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:  (time: 12)\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 2022-01-16T12:00:00 ... 2022-12-16T12:00:00\n",
-       "    height   float64 ...\n",
-       "Data variables:\n",
-       "    r1i1p1   (time) float32 ...\n",
-       "    r2i1p1   (time) float32 ...\n",
-       "    r3i1p1   (time) float32 ...\n",
-       "    r4i1p1   (time) float32 ...\n",
-       "    r5i1p1   (time) float32 ...\n",
-       "Attributes:\n",
-       "    standard_name:     air_temperature\n",
-       "    long_name:         Near-Surface Air Temperature\n",
-       "    units:             K\n",
-       "    original_name:     ST\n",
-       "    cell_methods:      time: mean (interval: 15 minutes)\n",
-       "    cell_measures:     area: areacella\n",
-       "    history:           2011-03-10T05:13:26Z altered by CMOR: Treated scalar d...\n",
-       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...\n",
-       "    rcp:               rcp85"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "tas_rcp85['time'] = tas_rcp85.indexes['time'].to_datetimeindex()\n",
     "tas_rcp85"
@@ -2305,7 +207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2337,23 +239,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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Uq1Ytz4vsnKtGa2lpscjIyALrFYlEzNbWtsAL5O9jLquEPDExkamqqvL7+dExVIaEoDDnKSgoSOri/vLly4WKacyYMYWKiZCqjmYZIqQS6N69u9SjW7duaNWqFXR0dDBo0CC+77CCggLWr1+PoUOH5lnP9+MMqlevXtah50uyovC6detgb2+Pz58/8585Ozv/sP+4lZUVzp49iyVLlvxwLYS6deti6tSp6N69e6FiMjc3x7Jly+Dr64vk5GQ8e/YMN2/exL179xASEoLQ0FDMnz8fSkpK/DarVq3Cnj17ClV/ecg548uUKVMK1fdbS0tLaraW69evF7iNm5tbnuNUcmrVqpXU6/HjxxdYb85tXr9+XWB5ANDR0YG7u3uB5aZPn84/T05OzvM4c56/4cOHF2omKwUFBQwfPpx/XZjz16hRI6kxMaVJS0sLdnZ2/OvHjx+XyX7KQ2HP08GDB/lxK/Xr10ePHj0KVf/IkSP554X53gipqmhQMSGVwNWrVwss4+bmhkWLFqFhw4b5lpEMHpRQUVEpcWyFsWLFCqxYsaJQZe3s7HDy5Mkflvnrr7+wZMkSxMfHA/g2HWadOnVgYmICoVCI9+/fIzY2Fm/fvsWoUaOwbNkyHDx4EO3atfthvT9auwEAatasibVr16Jv377o2rUrP1h13rx5GDBgAHR1dQt1jGUlNDRUahrJzp07F3rbnIOzfX19CyxfmIu07xeMK8w2JiYm/HPJ91uQzp075zkI/XstWrSAvr4+YmNjAQCPHj1Cv379+M+FQiEePXokVW9hFfX8fT9NcFG8e/cOt2/fxsuXLxETE4Pk5GSIRCKpMpJBuAAKnIa0Iivsecq5Rklxv7cvX74gIiJC6jdIiLyghICQKsLHx4e/0MmPjo6O1OvExETo6emVZViFpqWlhfHjx2PlypU/vKs9depU/PXXX/zrSZMmYfHixTA1NZUq5+3tjRkzZsDf3x+fPn1Cly5d4Onpifbt25c4VkdHR+zYsYNf9CwhIQEeHh6FnqGnrHy/dsPs2bMLdaEMQKqFJiYmpsDy31/s5+X7GZ2Kuk1aWlqB5QH8MAnOq6xk5qn3799Lffb+/XuppHndunV5ztKTl69fv/LPC3P+rK2tC1VvTvfu3cOcOXOkkpbCKOw6ExVRYc9TQEAA/9zT07PQrYLfi4mJoYSAyCVKCAipBFiOqSOBb3dOQ0NDcfToUezcuROJiYkICwuDi4sLrly5ku9F7/cX/1+/fi2XhMDa2ho2NjZS76moqEBbWxsWFhZo3rw5OnXqVOC0f0ePHpVKBtavX5/vRXj79u1x//59ODs7w9fXF0KhEMOHD0dgYGCpTKE4fPhwLFmyhL8j7+npKfOE4PsuYTmnXC2KwlxAFjbRKMk23//u81OU33DOst+3QHx//h4+fFjoenMqzPkrqLvV9/7++29MnDix0OckJ6FQWORtKorCnCexWCx1zt+/f58r2Susypw8EVISlBAQUgnp6OhAR0cHjRs3xujRo9G2bVvExMQgIyMDw4YNg7+/P/T19XNt9/3dtoCAANja2pZ5vMOHD8fy5ctLXM9vv/3GP7ezs8Ps2bN/WF5dXR1//fUXWrZsCeDbXfCjR49i9OjRJY6F4zi0b98eBw4cAAB+DnxZSk1NLZV6JH2xK4uiJBo5u8l9f6FcWuevMBftAkHhh/A9e/YMkyZN4uvV1dXF6NGj0alTJ9ja2sLIyAiqqqpSY1vat28v1Y2msirMeUpPTy+132xl++0TUlpoUDEhlVzt2rVx5MgR/vWXL1+wYMGCPMs6OztLvX7w4EGZxlaawsPDpQaZ9uvXDxzHFbhdixYtpBZb8vb2LrWYcnYtKKi7VnnIOUhcIBAgIyMD7NtsckV6fPz4UWbHUBzJycmFLpuUlMQ/19bWlvrs+0H2gYGBxTp/xbmL/yOrV6/mL1QtLS3x4sULbNiwAT169ICNjQ2qVasmlQwARTsn5SU7O7tM6tXQ0JA6/j179hT7eyuNLoWEVEaUEBBSBXTu3BlDhgzhX+/btw8vXrzIVa5p06ZSFz3Hjh0rs3+kS1tYWJjU65o1axZ625xlJSvrloacfdxltZJrTjn76IvF4jxXcq2KQkJCCl0252Db72cQ+n6MQ3G7nZQmxpjUpAJLly7NNV4mL2U9kDhnq0zOFcZ/pLCDxIsj53dZEb43QiobSggIqSJWr17N3yUTi8VYvHhxrjIKCgoYN24c/zo8PLzAGX0qiu9nREpPTy/0tjkv3L8f6FoSL1++5J8XZsBsWWvRooXUNKzXrl2TYTTlp7B9/RMTE/Hu3Tv+tYODg9Tn1tbWUt9jRTh/X79+5WezAr59xwV5//49oqOjC1V/zi45RWnZyNm3P+eA6h/J6yZFaWndujX/vCJ8b4RUNpQQEFJFWFlZYdSoUfzr8+fP5zn94axZs6Cqqsq/nj59eqEvHr7HGENgYGCxti2q7++KPnnypFDbJScnS/XvNzMzK5V4Pn36hLt37/Kv27ZtWyr1lkS1atWk4ti5c2elaQEqiSdPnhTqd3js2DGp6Tm/70IHQGp2mn///ReJiYmlE2QxFfbue07//PNPoctqamryz4uSZFtYWPDPc87wk5+nT58iNDS00PUXlYuLC//c399f6v9NQkjBKCEgpApZvHixVFP+0qVLc5UxNjbGmjVr+NfR0dHo2bNnkZOC+Ph49O7dG4cPHy5+wEVgbGyMunXr8q9PnjxZqK4iW7duRWZmJv+6Q4cOJY4lOzsbkydPlrpYGzhwYInrLQ1z587ln79//x7Lli2TYTTlZ968eT/8PCUlBatWreJfN2vWDI0aNcpVbs6cOfzYlPj4eEydOrV0Ay0ifX19qf+nC1or4/Xr1/jzzz8LXX/OcTBF6WrTrFkz/vnly5elWjG+xxjDwoULC113cQwZMkSqa+DEiROlxosQQn6MEgJCqhBzc3OMGTOGf33lypU8Bw7PnDkTgwcP5l/7+vqiZcuWOHHiRIHdBtLS0rBu3TrY2tri0qVLpRd8IeTs7iQUCtG7d+8fDoA9ePCg1OxGZmZmUncSc+rRowe8vb0LPP64uDgMGDAAly9f5t9zcnJCt27dCncQZczFxUXqGFevXo25c+fmWpTue1lZWbh48SI6duwotbhZZXH27FksWrQoz1likpKS0K9fP6lxKHl1qQO+zV41adIk/vWhQ4fg7u5eYEuBWCyGt7c3XF1dC7xoLwpFRUWpBfVWrlyZbyL84sULdOvWrcDvOqec3aaOHTtW6O8+ZwKckJCAGTNm5FkuKysLEydOLPNVgJWVlbFhwwb+9evXr9GhQ4dCtRy9ffsW06ZNw/r168syREIqNJp2lJAq5tdff8W+ffv4KRWXLFmCGzdu5Cr377//Qk1NjZ828+PHjxg8eDBsbGzQvXt3tGjRAgYGBlBXV0dsbCzCwsJw69Yt3Lx5s9SmZyyqKVOm4NChQ3j27BkA4NWrV2jQoAGGDx+Ojh078isVv3v3DsePH5e6MBMIBNi2bZtUd6mcPD094enpCTMzM3Tv3h1NmjSBpaUltLS0kJmZic+fP+POnTs4evSo1PHXrFkThw4dKtsDL6IjR46gdevW/KxMGzZswL///oshQ4bA0dERRkZG4DgOCQkJCAwMxNOnT3H16lV+0Gdpz5JT1tzc3HDs2DH8/vvvuHHjBkaPHo06deogMzMTvr6+2L17t9Qg2yFDhqBv37751rdlyxa8fv2an5Hq0KFDOH/+PNzc3NCuXTuYmJhAWVkZCQkJCAkJgZ+fH65evcoPWM/v4ri4Zs+ejZs3bwL4Nije3t4eEydOhJOTEzQ1NfHlyxdcvnwZR44cgUgkQtOmTaGkpITHjx8XWPewYcPwxx9/QCwWIzIyEra2tmjatCkMDQ2hoKDAl/v7779haGjIv7a1tcWAAQNw6tQpAN+6Kb179w5jx45FrVq1kJaWBj8/P3h4eCA4OBimpqaws7Mr08Rg8ODBCAgIwOrVqwEAfn5+qFevHvr06YMuXbqgVq1a0NTURFJSEr58+YLnz5/j1q1b/P8n8tKaRkieGCGkwlm2bBkDwD+KaurUqVLbe3t751t2+/btTE9PT6p8YR/9+/dnQUFBedabs9yyZcuKfAz5iYqKYi1atChSnKqqquyff/75Yb3FOf6WLVuy4ODgUju2guTc98iRI39YNj4+nvXs2bNYxxUSElLg/r28vAqM18vLq8i/45y/fWdn53zLWVhY8OX27dvH1q5dyziOK/DYunfvzjIyMgqMIyMjg40dO7ZY5y+/c/N9zEUxa9asQu27Vq1aLCQkhDk7Oxf6/781a9YUeO7y+k1EREQwGxubAmMyMDBgvr6+bOTIkYX6/ZbkPDHG2F9//cWUlJSK/L2V5t8pQiob6jJESBW0aNEiqTvhS5YsybfslClTEBISgt9//x1NmjQpcG5/U1NTzJw5E/7+/jh16lSuxc7KmqGhIe7fv49t27ahXr16PyyrqqoKd3d3PH/+XKorVV6mTJkCe3t7qVl68tO8eXPs27cPPj4+qFWrVpHiLy/Vq1fHxYsXceHCBbRr167ABZ4sLS0xadIk3Lt3D5aWluUTZCmaP38+zp49i9q1a+f5uY6ODjZs2ICLFy/mmrEqLyoqKti7dy/u3r2LHj165Jrn/3smJiYYMWIEPD094eTkVKxj+JGNGzdix44dUnfpc9LQ0MD48ePx7NmzIn9/CxcuxP379zFu3Dg0bNgQ2traUq0D+TE2Nsbdu3cxePDgPP9uKCgowNXVFc+fP881o1NZmjx5Mt69e4fx48cXuNKxpqYmevbsiQMHDkiNvyFE3nCMVbK2YUJImYqNjcXjx48RFRWFuLg4ZGVloXr16jA2Noa9vb3U7CIVQUhICJ4+fYqIiAgkJSVBWVkZOjo6qF+/Ppo2bVrk9QHS0tLg7++PiIgIxMXFIS4uDhzHoXr16jA3N0eLFi2gp6dXRkdTduLj4+Hj44PPnz/j69evEAgE0NLSgpWVFerXrw9zc3NZh1gklpaWfH/3ffv2Sc2w9eTJE7x69QqRkZGoVq0abG1t0aFDhwIv6n8kNTUVPj4+CA0NRVxcHMRiMbS0tGBubo569erBxsampIdUKEKhEPfu3cOrV6+QkpICPT091KxZE+3bty/VKXWLKiIiAl5eXvj8+TMUFBRgZmbGd6+SpezsbPj6+uLNmzeIi4tDRkYGNDU1YWxsjDp16qBBgwaFuglASFVHCQEhhJBK50cJASGEkKKhLkOEEEIIIYTIMUoICCGEEEIIkWOUEBBCCCGEECLHKCEghBBCCCFEjlFCQAghhBBCiByjWYYIIYQQQgiRY9RCQAghhBBCiByjhIAQQgghhBA5RgkBIYQQQgghcowSAkIIIYQQQuQYJQSEEEIIIYTIMUoICCGEEEIIkWOUEBBCCCGEECLHKCEghBBCCCFEjlFCQAghhBBCiByjhIAQQgghhBA5RgkBIYQQQgghcowSAkIIIYQQQuQYJQSEEEIIIYTIMUoICCGEEEIIkWOUEBBCCCGEECLHKCEghBBCCCFEjlFCQAghhBBCiByjhIAQQgghhBA5pijrAORdTEwMzp07h0ePHiEwMBDx8fFIT0+HmpoadHR0YGtri5YtW6JPnz4wNDSUdbiEEEIIIaSK4RhjTNZByKOMjAzMmzcPf//9N7KysvCjr4HjOCgpKWHcuHFYt24d1NTUyjFSQgghhBBSlVFCIANCoRDOzs548uQJGGOoW7cu2rRpg1q1akFHRwcqKioQCoWIj4/Hhw8f4OPjg7dv34LjODRr1gx3796FsrKyrA+DEEIIIYRUAdRlSAbWr1+Px48fo06dOvDw8ICjo2OB29y/fx9jxoyBr68v1q1bh8WLF5dDpGWDMQaO44q8XWRkJHx8fGBnZ4e6deuWQWSEEEIIIfKHBhXLwH///QdlZWVcu3atUMkAALRu3RpXr16FoqIijhw5UsYRlq38kgHGGMRisdSDMYasrCwAwOXLlzFo0CDs3r27PMMlhBBCCKnSqIVABkJCQtCgQQPUrFmzSNtZWFigQYMGePPmTRlFVvbCwsKQkpICHR0daGhoQFVVFUpKSgC+JQp5JQuSz5OSkgAARkZG5RcwIYQQQkgVRwmBDGhqaiI6OrpY20ZHR0NDQ6OUIyo/mzZtwrVr12BsbAw1NTVoaWlBW1sb2traqF69utRzLS0taGlpQVVVFbVr18bHjx8BAKamprI9CEIIIYSQKoQSAhlwdHTExYsXsWnTJsyaNavQ223YsAGfP39G7969yzC6snXv3j28efMGoaGhEIlEyMrKglgsBvCthUBRURHKyspQVVWFmpoa1NXVoaGhAX19fbx//x4AaPpVQgghhJBSRLMMycCDBw/g5OQEsViMbt26YcyYMWjTpg1MTExylY2IiICPjw/++ecfXLt2DQKBAHfv3kWrVq1kEHnJtWvXDj4+PpgzZw5sbGyQmJiIpKQkJCUlST1PSkpCSkoKUlNTkZaWhszMTAiFQmRmZuLp06do2rSprA+l1EgSIoGAhvQQQgghpPxRC4EMODo6Yv/+/fj555/h6emJq1evAgBUVFRQvXp1KCsrIzMzEwkJCRAKhQC+DbhVVlbGnj17Km0yAACWlpbw8fFB/fr1MWrUKADgBw4LhUKkp6cjPT0dqampSE1NRUpKChITE8EYw6xZs/Dp0yfo6+vL9iBKQCwW8xf+QqEQKioqlAgQQgghRKYoIZCRYcOGoW3btli3bh3Onj2LiIgIZGRkIDIyMldZY2Nj9OvXD3PnzoWlpWX5B1uKbGxsAAAPHz7EyJEj+YHEysrKUFZWRrVq1fLdds6cOQAAPT29com1tDHGIBAIEBERgQsXLuDYsWMIDQ2FjY0NunTpgp9++gk1atT4YR1isTjfwdeEEEIIIcVBXYYqiNDQUAQGBiI+Ph4ZGRlQVVWFjo4ObG1tYW5uLuvwSs3FixcxadIkODs749ChQ3mW+f4nyXEcsrKyoKOjA6FQyE9DWhnFxcXB3d0dnp6eUu9zHIeRI0fi119/hbW1dZ7bFnf9BkIIIYSQH6GEgJSrpKQkPHjwABoaGmjbtm2RtrO2toaqqirCwsLKMMKyIxaLMXv2bGzduhUmJiYYOHAg7Ozs8OHDBxw+fBifP39Ghw4dcOLECejq6kptJxAIMHbsWJw6dQrPnz+v9C1FhBBCCKk4KCEglUZiYiIyMzNhYGAg61CKJTg4GA0bNoSRkRFOnjwJBwcHiEQipKWl4datW1i9ejWePn2KHj164NKlS7laBDp06IDbt28jPT0dKioqMjwSQgghhFQlNJqRlLvi5qDa2tqVNhkAAF9fX2RkZGDAgAFwcHBAdnY2FBUVoaWlBVdXV2zZsgUmJia4du0aFi1aBI7jIBKJAACxsbH4+PEjatSoQckAIYQQQkoVJQSVyNChQ9GxY0d06tRJ1qGUiLz2g/f39wcANGvWTOp9xhgYY2jTpg12794NgUCAnTt34uzZs1BU/Dbu/9OnT/jy5Qvq1q1b7nETQgghpGqjhKASefDgAby9veHt7S3rUEgxJCUlAQCMjIwA/C8xkswaJBKJ0KtXLyxZsgSJiYlYvHgx3r59CwAICgpCVlYW7O3tZRM8IYQQQqosmna0EpkxYwYSEhJkHUa5k8y8VK1aNWhqaso6nGLT1tYGAH6WpO/XH1BUVER2djYWL14Mf39/nDp1CkuWLMGJEycQFBQEAHBwcCjfoAkhhBBS5VFCUIn88ssvsg6hXGVnZ0NBQQHbt2/HgQMHkJGRAQ8PD3Tt2lXWoRVLo0aNAAAHDx7M9xgUFBQAAH/++SeCgoJw6tQpeHh44M2bNwCAxo0bl0+whBBCCJEb1GWIVFiSLjVRUVGIjo7Gly9fKvWqvq1atULv3r35i/4fDa42MTHB2rVrYWBggJ9//hm3b98GANja2pZLrIQQQgiRHzTtqIxlZ2fDy8sLjx494hcmS09Ph5qaGr8wWcuWLdG+fXt+gGlVJBlYK5Gzf72Pjw/ev3+PyMhIjB07FoaGhrIKs1RkZWVBQUGhUMnN2rVrsWLFCgiFQtSqVYvvOkQIIYQQUlooIZChTZs2Ye3atYiLiwOQ9x1jyYWxnp4e5s+fj1mzZlXqWXqKutquZFEueSM5T0KhENOmTcPevXv59QmqEsYY/x1X5t81IYQQUplRQiADjDH0798f58+fB2MMWlpaaN68OWrVqgUdHR2oqKhAKBQiPj4eHz58wJMnT5CUlASO49CrVy+cPXu2Ul88xcfH4+vXr3j27Bnevn2LqKgoAICqqipMTExgbm4OGxsb2NjY8IOI5TExkByzUCjEgwcPYGRkhHr16sk6rBIralJY1PKEEEIIKRpKCGRg+/btmD59OoyMjLBp0yYMGjToh92BRCIRjh8/jtmzZyM6Ohpbt27F1KlTyzHi0uPj44Nt27bh+PHjeX4uEAigra0Na2trODo6olevXmjRogU/Q4+8kQysriokF/cvXrzAoUOH8PTpUzRv3hx9+vSBo6MjgKp3zIQQQkhFRwmBDDg4OCAgIAB+fn5o2LBhobfz9/eHg4MDGjVqBD8/vzKMsGx4eXmhb9++SElJgZmZGTQ0NGBrawttbW0IBAKkp6cjJiYGX758QWBgIL/d7NmzsXTpUlSrVk2G0ZPSkvN3kNPevXsxevRocByHlJQUxMfHIyYmBlpaWrCwsICSkhK1FhBCCCFlgBICGdDU1IStrS2ePXtW5G2bNGmC4OBgJCcnl0FkZSc0NBRubm54+PAhxo0bh/nz56NWrVoAgMzMTGRmZiIjIwPJycmIiYlBYGAgfHx8cOXKFXz69AnDhw/Hv//+K1cXhGKxGC9fvoSJiQkMDAxkHU6pePnyJYYMGYI3b96gS5cuGDZsGHx9fXHkyBEIBAI8e/YMwcHBmDVrFt6/fw99fX1YW1tj4MCBGDdunKzDJ4QQQqokSghkQE9PD7q6ulJ3wQvLxsYGX79+xdevX8sgsrLj6ekJFxcXDBs2DAcPHgRQuHEB586dw9SpUyEUCnHgwAH06NGjPMKVKUnSI7loVlJSQocOHeDh4SHr0Eps+fLlWLlyJWbPno01a9ZASUkJwLdudKtWrcKAAQNw/vx5REREQEtLC3p6eggODgYAuLq64vTp07IMnxBCCKmS5GuUZgXRtGlTfPjwId9+9Pk5evQoPnz4UClXqw0NDQXwbS5+4NvUm3klA5LpR0UiERhj6Nu3L5YtW4bY2Fg8evSoXGMuCznzb8kMO2KxOM8Zpr58+QLGGD59+oS0tLTyDLPMnDx5EioqKhgzZgyUlJT4VZv79esHa2tr7Ny5E7q6ujhx4gQ+f/6MI0eOYPXq1dDV1cWlS5f4ZJIQQgghpafqTmxfgc2aNQu3bt3CsGHD4O3tjTFjxsDe3j7PC2SxWAw/Pz/8888/2Lt3LziOw8yZM2UQdckIhUIAQGpqKgDwd4a/J+kOpKioiMzMTCgrK0NXVxcA+IvHyiivqTU5jsuz+5Pkvbp16+Kvv/5CYGAgWrZsWW6xlpXExEQEBwejSZMm/GxJSkpKEIvFMDExwefPnwEAu3bt4gcYN2/eHM2bN4eqqipmz56N+/fvw93dXa66jhFCCCFljRICGXBxccGaNWvw66+/Yvfu3di9ezdUVVVhbm4OHR0dKCsrIzMzE/Hx8QgNDUVGRga/7apVq+Di4iLD6IvHzs4OWlpa+O+//9ChQwc0b96c/yznomSS/3IcB2VlZQDf+p0DQM2aNcs56tLBGINAIEBISAi+fPmCiIgIhIeHIz09Hbq6ujAzM4O1tTVq1qwJDQ0NAN8SiBo1aqBGjRoyjr70vHjxAkKhEBYWFgC+HSPHcRAIBIiIiEBoaCjatWvHJwOSMsC37kIrV65EYGAg4uLioKenJ5NjIIQQQqoiSghkZMGCBXB2dsaqVatw8+ZNpKen4927d3mWVVJSQufOnfHrr7+idevW5Rxp6Wjfvj0GDx6MvXv34qeffsKcOXMwYMAAGBkZ5XunPDIyErdu3cLff/8NQ0NDNG3aVAaRl5xYLMaGDRtw7tw5PHz4EACgoKDAH7OysjJMTExQt25dtG/fHi4uLvwd9Ko0BWdkZCQAwNraGoB08nfr1i0A4H/fkhYVSauZtrY2EhMTkZCQQMkAIYQQUsooIZAhR0dHXLp0CcnJyXj27BkCAwMRHx+PjIwMqKqqQkdHB7a2tmjatGmln3JTIBBg3rx5iI+Px/nz5zF16lRMnToV1tbWqFOnDkxMTFC9enWoqamB4zhkZWXh+fPn8PT0BABs3ry5UiYECQkJ2LJlC1auXAkAsLe3R3Z2NvT19SEQCJCSkoK4uDhERUXh8uXLuH79Ojw8PNCvXz9MnDgRZmZmMj6C0qOnpwcbGxtUq1YtV6JTu3ZtLFmyBK6urlLbSBKDFy9eAADMzc3LM2RCCCFELtAsQ6RcSPp8p6enY+vWrTh48CBCQkKkukPlxdbWFuPGjcO0adOgoqJSTtGWntOnT2Pw4MGoXbs25s+fj4EDB0JDQwNCoRAJCQmIj49HdHQ0goKC+AQoKCgIADBx4kSsWbMG1atXl+1BlJKUlBTcuXMH2traaNOmTa7PhUIhlJWVpVqLJInDmjVrsHjxYmzfvh2TJ08uz7AJIYSQKo8SAlJuvh8I6u/vj8ePH+Pjx4+IioqCUCgEYwyamprQ0NCAmZkZ+vfvz/c5r4zGjBmD/fv348SJExgwYACA3Ochp9TUVFy9ehWLFi3C+/fvsWTJEqxYsULuB9E2btwY7969w9u3b2FpaSnrcAghhJAqhboMkXLz/QVt48aN0bhxY376zezsbIjFYigqKkJR8X8/zcp8Mfz27VuoqqryswR9v/ZCznyc4zhoaGigf//+UFJSgru7O65cuYIRI0bw/e4ru6J+l1lZWTh16hRevHiBQYMGUTJACCGElAFah4DIHMdxUFBQgLKyMlRVVaWSAcnnlZWqqiqys7ORmJgIALmmlpUMqP7+GHv37o0WLVrA19cX6enp5RZvWSvqd/nu3Tv8/vvv0NfXx5gxY8ooKkIIIUS+UUJASBmRLKyWlZWF1atX82MDJJ9JWkQkU2tKiEQiAN/6zwOAqalp+QVdwdSrVw+XL1+Gt7c3nJ2dZR0OIYQQUiXRGAJCylBISAh69uyJt2/fomfPnpg2bRo6d+6c5yJ0Ofn7+6N169YwMTGRSiQIIYQQQkobjSEgpAxZWVnh77//xrx583Dp0iVcunQJurq6cHJyQpMmTVCnTh1YWlrC3NwcWlpaePPmDW7cuIHDhw8jPT0dI0eOlPUhVAjfj70ghBBCSOmhFgJCysHTp0+xY8cOXL9+HeHh4fz7HMdBUVERWVlZUFZWhp6eHiIiIgAA06ZNw/Lly6GjoyOrsGVCcvH/8eNHqKiowMTERNYhEUIIIVUaJQQVlKenJ0JCQqCurs6vaitZuTXnc4FAACUlpR8+lJWVoaKiAlVVVaipqUFVVZXutspIREQErl+/Dj8/PwQGBiIqKgrx8fFISkpCXFwc1NXV4eLigp49e8LV1RXa2tqyDrnU5JxhiDEGxliev0NJQjB48GAEBATA1NQUe/bsqTIzLRFCCCEVDSUEFdSUKVOwY8cOtGnTBoqKihCLxfz0nDmfZ2dnIysr64ePzMxMfqCqhGRGH0mCoKamBjU1NWhoaEBTU/OHj2rVqkFbWxvVq1eX+q+qqmqlnhGoPInFYqSlpSExMREJCQnIzs6Grq4usrKyoK+vX+lXpi4qsVgsNdtSVlYWOnToAD8/P2RkZCApKQmampoyjrJ0fX/MhBBCiKxQQlBBhYeHo2bNmggLC4OZmVmJ6xOLxcjIyEB6enq+/01PT0dqaipSUlLyfaSmpiIpKYm/kE1MTERaWhoAQElJSSpJ0NXVhZ6eHv/f75/r6elBX18fWlpadFH0ncq89kJePnz4gLdv30IgEODr169QVFSEhYUF6tSpk+dKzEKhEHfu3IG/vz/S09OxZMmS8g+6jMTExMDAwEDqPRojQQghRJYoIaigSjshKEtZWVlITEyUShISEhLw9etXxMXF5XrkfF8kEkFZWRmGhoYwNDSEkZFRns9NTExgamoKPT29KnWhXNUlJiZi5syZePLkCV69egUAUFdXh7KyMjQ0NGBsbAx7e3s4OzvD0dERlpaWub7fzMxMKCsryyL8MjFgwAAYGRmhS5cuaNmyZa5pZfNKDrKzs6GgoFCeYRJCCJEjlBBUUJUpISguxhgSExMRExODjx8/Ys+ePWjfvj1iY2MRHR2NqKgo/r+RkZFITEyEsrIyjI2NYWpqyj8kyYKpqSlq1qyJmjVrVrnuJZXRhw8fsGDBApw8eRJKSkpwdHREdHQ0VFVVIRQK+cRQJBJBV1cXbdq0gbu7OwYOHAigat419/LyQqdOnaCmpgZNTU00bNgQ7dq1g5OTExwcHKClpSVV/unTp7CysoKurm6VazUihBBScVBCUEHJQ0KQU0BAAJycnJCQkJBvmbS0NERERODLly/48uVLrufh4eEICwtDeno6dHR0+OQg58Pc3BwWFhYwMzPLtSIyKV0rVqzAihUrMGDAAEybNg2tW7eGoqIioqKiEBYWhk+fPuHt27d4+vQpnj59irCwMACAq6sr/vjjD9ja2sr4CErfX3/9hWnTpsHW1haampp4/fo1srKyYG5uDgcHBzg5OaFt27Zo2LAhFBUVYW5ujvDwcLx9+xa1a9eWdfiEEEKqKEoIKih5SwguXLiAX3/9FQEBASWqhzGGr1+/IiwsjH+EhoZKPZdM+2lubg5LS0tYWVnByspK6rmxsXGVuztd3uzs7PD582c8evQIderUyfcOd1RUFJ49e4ajR4/i8OHDyM7Oxrhx47Bp0yaoq6tXqbviQUFBGDRoEF6/fo2FCxeievXquHXrFp4/f47Pnz9DWVkZNjY2cHJygpGREZYvXw5ra2sEBgbydVTFlhNCCCGyRQlBBSVvCcH27dtx9epVXLhwocz3JRKJEB4ejpCQEHz8+BEhISH84+PHj/jy5QuUlZVhbW0NW1tb2NjYSD1q1qxJ/bkL8PXrV1hYWKBWrVrw9/fP1Qde8mfn+4v9hw8fYsiQIfj06RMOHjyIYcOGVbmuMm/fvkXXrl1Rp04dnD17FqmpqXj06BEeP34MHx8fBAQE4OvXr1BRUYFQKES7du2wdu1aWFhY5BpvQAghhJQGSggqKHlLCObNm4e0tDRs375d1qFAKBQiJCQEwcHBCAoKknqEhIRAQUEBtWrVgo2NDWrXro26deuibt26qFOnDgwMDKrUxWtxffjwAV27doWysjIePnyYq298TpI1CQBAIBDg2LFjGDJkCEaNGoW//voLampq5RV2mROJRFBUVMShQ4cwYsQIDBw4EMePH+c/CwwMREBAAG7fvg0PDw9kZmYCAExMTGBvb4+GDRti5syZuWYpIoQQQkqCEoIKSt4Sgp9++gkODg6YN2+erEP5oaysLISGhiIwMBCBgYF4//493r59i7dv3yI8PBw6Ojp8ciD5b7169WBtbS1XYxYYYxgxYgQOHz6MKVOmYMmSJTA0NATwbcYcyeJ632/DcRwiIiJgYWGBpk2b4tGjR7IIv8yJxWLMnDkT27Ztw+LFi7Fs2TKpFpQTJ07gp59+grW1NZydnXH37l0EBgZCWVkZSUlJVWrWJUIIIbInP1copEILDQ1F//79ZR1GgZSUlGBtbQ1ra2t0795d6rOUlBQ+QXj37h38/Pxw5MgRvHv3DgBQt25d2NnZwc7ODg0aNICdnR2srKyqZH9wjuMwbNgwHDt2DDt37gRjDNOnT0ft2rVzdR2SdCeStKy8e/cOIpEI5ubmsgq/zAkEAmzduhUfP37EqlWr0KZNG3Tr1o2fYvXMmTMAgOXLl2PYsGG4ceMGbt++DQ0NDUoGCCGElDpqIaig5K2FwNTUFKdOnYKjo6OsQyl1IpEIHz58wKtXr/Dq1Su8fPkSr169wrt378AYQ6NGjdCgQQM0atQIjRs3RuPGjatMl5ATJ05gypQpiI2NBQB06NABLi4uaNu2LRo0aAANDQ2p8rGxsZg4cSJOnz6Nf//9F8OHD5dF2GVOkgQFBgaiT58+iI2NxZkzZ9C2bVvExsbC0tISQqEQKSkpUFFR4bcTCoVSrwkhhJDSQAlBBSVPCYFQKISqqio+f/4sV4MmT5w4gUWLFmHNmjV4+fIlAgIC4O/vj5CQEBgbG/PJQePGjdGoUSPUqVMHSkpKsg67SEQiEa5evYrdu3fj9u3bSE5OBgDo6OigRo0asLS0hJ2dHUxNTfHixQvcuXMH79+/R7du3XDw4EHo6+vL+AjK3pkzZ+Du7o569erBx8cH+/fvx8SJEzF48GAcPXoUWVlZUFRUpLEphBBCygwlBBWUPCUEwcHBqFevHjIyMqpk95n8zJw5E0KhEDt27JB6PykpCQEBAXyC4O/vjxcvXkAkEqFhw4awt7eHg4MDP8hUVVVVRkdQeGKxGDdu3ICnpyd8fX0RFBSEmJgYZGdn5yo7YMAA/PHHH6hVq5YMIpWN7du3Y/r06Zg9ezYePnwIHx8fXL9+HZ06daJVigkhhJQ5SggqKHlKCG7duoVx48YhODhY1qGUK8kg6p9++qnAstnZ2QgODsazZ8/g5+cHPz8/PH36FMnJybCzs+MTBHt7ezRu3Bjq6urlcARFl52djdjYWAQGBuLFixeIiYlBTEwMwsPDYW9vDycnJzRq1Ag6OjpVbrrRvEiOMSsrC9OnT8fu3bsBAPr6+oiOjpZxdIQQQuQFDSquoCT9hOWhv3BoaCgsLCxkHUa5SkxMxPPnz9GuXbtClVdQUEDt2rVRu3ZtPoFgjOHTp098gnDx4kWsWLECX79+RcOGDdGiRQv+Ub9+/Qpxl1lBQQFGRkYwMjJC27Ztf3jRX9WTAeB/x6ikpITZs2cjPj4ex48fh7u7O4D/TVNKCCGElCVqIaigkpKSoK2tjcTExB/O4V4VrFixAiEhIdi/f7+sQyk3ly9fxi+//CK1Am1pYIwhLCwMT548wePHj/H48WP4+vqCMQYHBwe0aNECzZs3R4sWLWBhYSEXF92VzfPnz2FmZgZ9fX1alZgQQki5oFtPROY+ffokdy0Ed+7cgZOTU6nXy3EczM3NYW5ujgEDBgD41k3n7du3fILwxx9/ICAgAPr6+mjdujX/sLe3l4sWqYpKcvHfpEkT/j1KBgghhJQHaiGooOSphcDf3x8aGhqwsbGRdSjlpnXr1pgwYQJGjhwpk/2npaXB19cXDx48wP3793H//n0kJSXBwcEBjo6OaN26NRwdHeVq1qeKImerAA0oJoQQUh4oIaig5CkhkDdpaWnQ1tbG+/fvYWVlJetwAHzrahQcHIz79+/zScKLFy9gZWWFdu3a8Q9bW1vqZlQMkov8wg6Ujo2NlYspVwkhhFQMlBBUUJQQVF23bt3CqFGj8OnTpwp9cZ2UlIT79+/j7t27uHv3Lh49egQdHR2pBKFRo0Z0B7uYvh8fIHn99u1buLu7o2nTpnB1dYWLi4sMoySEECIPaAwBIeVMMn6gIicDAKClpYXu3buje/fuAICMjAw8efIEd+7cweXLl7F48WJwHIe2bduiQ4cO6NChA5o0aSL3CYKkFUAsFuPr16948OAB9PT0IBKJoKqqCmtra+jp6fHJgOSejOT3cPPmTfj7++Pp06cQCASUEBBCCClz1EJQQVELQdXVsWNHuLm5Yfz48bIOpUREIhH8/f1x+/ZteHl54c6dOxAIBHB2duYThAYNGsjlwNiwsDAsWbIEd+7cwcePHwEABgYG0NfXh7GxMezt7dG1a1e0a9cu18Jyjx49ws2bN+Hp6YnNmzfDwcFBBkdACCFEnlBCUEFRQlA1CYVCVK9eHc+ePUPdunVlHU6pEolEePbsGby8vODl5YW7d+9CVVUV7du3R8eOHdG5c2e5GIMQEhKCMWPG4Pbt21BUVES7du3w4cMHZGRkICsrCwkJCRCLxdDX10fbtm0xaNAgdO3aFXp6enzrAmOMX5yQEEIIKWuUEFRQlBBUTU+fPkXPnj0RERFR5S+Ms7Ky4OvrCy8vL9y8eRP37t2DsbExunTpgi5duqBjx44wMDCQdZilbvbs2di8eTPGjh2LX375BTY2NlBVVcWrV6/w4sULBAQEwM/PD8+ePUNMTAzMzc3h7u6OX3/9FaqqqnKxQjMhhJCKhRKCCooSgqorLS0N6urqsg6j3AUFBWHlypUwNDTEjRs38OLFCzRu3JhPENq0aQM1NTVZh1lipqam4DgOjx49gpmZWa4L/OzsbAQHB8PHxwcXLlzAuXPn+IXj/vnnHzRq1EiG0RNCCJFH8te5lxAZk8dkAABOnjyJ6OhobNiwAc+fP8eXL18wZ84cREdHY9SoUdDV1YWLiwv+/PPPUl/Bubz4+fkhOjoa9evXh5mZGTIzM/lkgDEGxhgUFBRQu3ZtjB49Gv/88w/+/vtv1KpVC0+fPsWuXbvAGEN2draMj4QQQog8oRaCCopaCEhVwhhDvXr1sHz5cri5ueX5+Zs3b+Dp6YkrV67gzp07qFmzJrp3744ePXqgffv20NDQkEHkRfPu3Ts4OzvD0tISN2/ezDfm71sNfH194eLigtjYWHh7e5fJKtaEEEJIfqiFgBBS5h49eoTIyEj07ds3z885jkP9+vUxa9YsXL9+HV+/fsWWLVsAANOnT4eenh66du2KzZs3V+jWAysrK9jZ2eHx48dYuXIlkpOTAXzrJiQWi/lyOVsNxGIxmjVrhrlz5wL41spQ1eU8F4QQQmSPEgJCSJk7cOAA3NzcCj1GQENDA7169cL27dsRFBSEFy9eoFevXrh69SoaNGiAunXrYs6cOfD29kZWVlYZR194ysrKmDBhAhQUFODh4YENGzYgOTkZCgoK/PSrOZMDjuP4+A0NDQF8W6W4Krt58yYGDhyId+/eyToUQggh/4+6DFVQ1GWIVBUZGRkwNjaGp6cnWrVqVeL6UlJScOPGDVy4cAGXLl2CUChE9+7d0atXL3Tv3h16enqlEHXJ/P777/j1118BALq6uhg3bhwGDRoEe3v7fLdxd3fH4cOHceXKFXTr1q28Qi13jo6OePToEU6fPg1XV1dZh0MIIQSUEFRYlBCQquLYsWNYunQp3r59W+rTaYrFYjx9+hQXLlzAxYsXERAQgNatW8PV1RWurq6oVatWqe6vKI4fP45Nmzbh8ePHAL61ADRv3hydOnVCjx49UKdOHURFRSE1NRXXrl3D5MmTUatWLQQFBcks5rJ27949ODk5oVevXjh79iwEAgHEYjHfeiIWixEXFwcDAwNkZ2fL/arXhBBSXighqKAoISBVRY8ePeDk5ISFCxeW+b7Cw8P5qTxv3bqFunXrol+/fnB1dUWTJk3KfX7/0NBQHDlyBFevXsXz58+RmJjIf2ZtbQ0zMzMEBAQgPj4eNWrUwJo1a+Du7l6uMZanTp06wcvLC8eOHcOgQYP4wdVJSUk4fPgwLl68iNevX0NfXx89e/ZEmzZt0KxZM+jo6EglDoQQQkoXJQQVFCUEpCr48uULLC0t8eHDB5iZmZXrvhMTE3H58mWcPXsWly9fhp6eHt9y0LZtWygqKpZLHIwxREVFwdvbGz4+Pnj16hX8/f0RHx8PFRUVCAQCODk54ddff0WrVq3KLa7y5uvrixYtWqBjx464fPkylJWVAQDPnj3Db7/9hrNnzwIA1NTUkJ6eDgCoWbMmRo8ejSVLllBrASGElCFKCCooSghIVbBu3TrcvHkTV69elWkcQqEQN2/exNmzZ3Hu3DlkZ2fD1dUVAwcORMeOHfmL07ImEomQkJCA9PR0fPz4EYmJiWjcuDGqV6+OatWqlUsMstK7d29cunSJbx0Avg2gHjduHC5evAgbGxsMHz4cjRo1wufPn7Fnzx48e/YMANClSxfs27cPpqamsjwEQgipsighqKAoISCVHWMMdnZ2WLJkCYYMGSLrcHjZ2dl48OABTp48iZMnTyI1NRV9+/bFwIED0aVLF6ioqMgkru/XJqhKAgIC0KRJE9StWxenTp1CvXr1AAA7duzA1KlT0bdvX6xbtw62trZS2+3atQtLlixBQkICDh48CDc3N+o6RAghZYD+qhJCysSTJ0/w+fPnCjeTjIKCAtq2bYstW7YgNDQUV65cgb6+PqZOnQpDQ0MMHz4c586d47utlJeqmgwAwOnTpwF8G1OxdOlSeHh4wN/fH5cvXwYA/PHHH7C1teXXZZCs1Dxx4kQMGTIE2dnZ2LNnD0QiESUDhBBSBirlX9aQkBDs2bMH48aNQ+PGjaGoqAiO47Bq1api1bd8+XJwHPfDx9u3b/Pd/s2bNxg2bBhMTEygqqoKa2trzJkzBwkJCcU8QkIqv/379+Onn34q9NoDsiAQCNCqVSts2LABISEhuHnzJszMzDBr1iwYGhrC3d0dly5dQmZmpqxDrdR69uyJtWvXolmzZrhw4QJmzJiBqVOnwtvbG3369EHt2rUhFovBcRwEAgEUFBQgabweMGAAlJSUIBQKIRKJQI3alcf335XkNX2HhFQ8lXL02tatW7F169ZSr7dmzZowNzfP8zN1dfU83/fy8kLPnj2Rnp4OAwMD2NnZ4e3bt9i4cSPOnDmD+/fvw8jIqNRjJaSia9iwIVq2bCnrMAqN4zg0a9YMzZo1w++//w4/Pz8cO3YMkyZNQkpKCgYMGIAhQ4bA2dmZBrgWUfPmzdGsWTP06NEDN2/exIULF/DkyROkpaXB2dkZAPK9829nZwcVFRUwxpCcnAxVVdXyDJ2UgKTVKyMjg2/5qVatGv8+df8ipOKolAmBvr4+evXqhRYtWqB58+bYu3cvTp06VeJ6x4wZg+XLlxe6fHJyMn766Sekp6dj+vTp2LBhA5SUlBAXF4e+ffvCx8cHY8eOxcWLF0scGyGVzaRJk2QdQrFxHAcHBwc4ODhg7dq1ePDgAY4ePYohQ4aA4zgMHjwYbm5uaNWqFV3QFIJkfETDhg3RsGFDdO3aFTdv3sTdu3dRvXr1H27j5eWFlJQUWFpawsDAoHwDJ8WWlZWFo0eP4tatW3j37h0iIyOhoqKCDh06oHXr1ujSpQvdLCOkAqmUCcHixYulXh89elQmcezatQsxMTGoV68eNm3axN811NPTw5EjR2BtbY1Lly7Bz8/vhyuUEkIqLoFAgDZt2qBNmzbYvHkzbt++jaNHj6JXr17Q0tLCsGHDMHz4cH6gLMlNckdYcpFfv3591K9fH507d+ZXlv5+ULUk0Tp8+DCAbzdsSMXHGIOfnx8WLVqE69ev5/r83bt32L9/Pxo0aIB169ahffv2/HZVeRwNIRUd3doqAclAuVGjRuXqQmBubo7OnTsDAE6ePFnusRFCSp+ioiI6deqEPXv2IDIyEn/++ScCAwPRtGlTODg4YPPmzYiIiJB1mBVWzsQAAOrVqwdDQ0Opz3I6ePAgzp8/j3bt2qFTp07lFygptnPnzuGXX37B9evXoaKiAltbW6xatQr79u3DpUuXsHz5cjg6OsLX1xcdO3bEzp07AXz7/mlsASGyUylbCMqKl5cXXr16hbi4OOjq6qJFixYYMWIEjI2Nc5UViUR4+vQpAKBNmzZ51temTRt4enri0aNHZRo3IaT8KSsro0+fPujTpw8SExNx6tQpHDp0CPPmzUPHjh0xfPhw9OvXD5qamrIOtcIp6E5wdnY2Ll++jPnz50NTUxMrV64sp8hISXh7e2PNmjXw9fUF8K0138XFBU2bNuXLdOvWDUuXLsX69esxf/58TJkyBYmJiViwYAG1EBAiQ9RCkMOdO3dw8uRJeHl54dSpU5g/fz5q1aqF/fv35yr78eNHZGVlAQBq1aqVZ32S9wMDA8ssZkKI7Glra2PMmDG4desWPnz4gE6dOmHdunUwMjKCu7s7bt68CbFYLOswK42goCBs2LABkZGRmD17Nj/wmFRcnz59kkoGtm3bhl9//ZVPBiS/f0lXsLlz5/Kt7CtWrMCBAwdkEDUhRIISAgAmJiZYtGgRnjx5gri4OKSlpcHHxwc9evRAeno6xowZgwsXLkhtEx8fzz/X0dHJs17J+znLEkKqtpo1a2LevHk4ffo0Ro0aBUNDQwwdOhRWVlZYunQpgoODZR1ihSe5EXPz5s1KPThdXojFYuzbtw937twBAMybNw9TpkyRKpNz8L0kOXB1dcW+ffsgEAhw7NgxCIXC8guaECKFEgIAEyZMwOrVq9GsWTPo6upCTU0NrVu3xqVLl9CvXz8wxjBz5kyp/o0ZGRn8c2Vl5Tzrlax4Wt4LHBFCZG/ZsmXIzMzExo0bER4ejm3btuHly5eoX78+nJ2dsW/fPiQnJ8s6zApJSUkJVlZW6NChAz/GgFRcMTEx2Lt3LzIzM9GjRw+sXbsWAPJtFcuZHHTp0gWtWrWCp6cn9u7dWy7xEkJyo4TgBziO4/+wBQcHIyAggP8s51zY+S1aJLnbUZKFmZKSkor8oLsshMjWixcvcObMGSxZsgTAtwvcPn364PTp0wgPD8eAAQOwbds2GBsbY+TIkbhz506VGVApWWU4L2KxuMocJ/kfDw8PfPnyBSYmJnzLAGOsUFPympqaYvLkyQDAd8MlhJQ/SggKULt2bejq6gL41q9VImc3ofy6BEnez69LUWHUrFkT2traRXr8/vvvxd4fIaTklixZgvHjx+e50KGBgQGmT58OPz8/3L9/Hzo6OujXrx/q1q2LdevWISoqSgYRlx4FBQXExsbC19cX9+7dQ0REBEJDQ/lFqDiOy5UYSJKI8+fPY+XKlTTuqpJJSEgA8G0sTd26dQEUPHA8J319fQwfPhwzZswog+gIIYVBswwVgpKSEoBvMwtJWFpaQklJCVlZWfjw4QNMTExybffhwwcAgK2tbbH3HRYWBi0trSJtI+mqRAgpf48fP8aNGzcKNVagcePG2LJlC/744w+cOXMGe/fuxZIlS9CrVy+MGzcOXbp0qVSrIr9//x4nTpzAtm3bkJWVhfj4eNSoUQMNGjSAra0tOnXqhG7duvEtrJKkQHKMq1evxpMnT/Dnn3/C09MTzZo1k9mxkMIRi8X8b71169b5TrLxI87OznB0dARA6xEQIiuUEBQgNjYW0dHRAAAzMzP+fUVFRdjb2+PRo0fw8fHJc+pRHx8fAEDLli2LvX8tLa0iJwSEENlZvHgxpk2bVqRVWFVUVODm5gY3NzcEBwfDw8MDY8aMgaKiIsaMGYMxY8bk2dpQkYjFYkyfPh3Xrl2DQCBA06ZNkZCQgODgYERERODq1as4cuQIWrRogZEjR6JPnz5S3SmjoqLg7OyMxMREpKamUjJQSQgEAr4VPC4uDsC3Fp/CJrKSliPJWDxKBgiRDeoyVIBNmzaBMQZtbW00b95c6rP+/fsDAPbv35+r32xoaChu3LgBABgwYED5BEsIkanbt2/j8ePHmDt3brHrsLa2xurVqxEaGort27fDz88PNjY26NWrFy5duvTDPvqy9Oeff+LatWtwcXFBYGAgLl26hMDAQNy+fRvLli2Di4sLlJSU4OnpienTp+OXX37h13LJzs6GkZERli5dii1btuD48eMyPhpSFC1atAAAfP36FQCK1KolEAjyHVdC400IKUesChg5ciQDwH777bd8y2zevJlZWFiwn376Ser9ly9fskmTJrGXL19KvZ+ens5Wr17NBAIBA8DWrFmTq87ExESmr6/PALDp06ezzMxMxhhjsbGxrE2bNgwA69GjR7GOKTExkQFgiYmJxdqeEFK+xGIxa9OmDVu5cmWp1x0WFsaWLVvGTE1NmYWFBVu9ejWLiIgo9f2URL169ZiGhgZ78eJFnp9/+PCB/fvvv2zgwIFMV1eXKSkpMVdXV/bu3btyjpSUtrdv3zI9PT2moqLCrl+/zhhjTCQSFbidpIxIJGIZGRnMz8+P3bhxg4WFhbHo6Gi+XHZ2dtkETgjhVcqE4N69e0xPT49/qKioMABMXV1d6v3Q0FB+m2XLljEAzNnZWaquZ8+eMQAMADMwMGAODg7MwcGBqaur8++PHTuWicXiPGO5ceMGU1VVldpesq2lpWWx/9GmhICQyuXy5ctMX1+fJSUlldk+MjMz2enTp1mXLl2YsrIyGzx4MLt161a+f5/Ky8uXL5mBgQFr1aoVY4yxrKws/rPvL+Y+fvzINm7cyCwsLBjHcaxmzZrswYMHjLHCXUSSikXy/S5cuJBxHMdcXV35zwrzfWZlZbFZs2axVq1aMY7jGMdxzMrKirVr145duXKlSHURQoqvUnYZysrKQlxcHP+QTLOZlpYm9X5hmtYtLS3x22+/oUePHtDU1MS7d+/w4sUL6OrqYuDAgfzcyPn1a+zUqRN8fX3h5uYGjuPw4sULGBkZYdasWfDz84OxsXGpHjshpOJhjGHx4sVYsGABqlWrVmb7UVJSQr9+/XDt2jW8evUK5ubmGDRoEOrVq4etW7ciMTGxzPb9I4aGhlBVVUV0dDTCwsKgqPi/4WmSqSfZ/3f/sLCwwKxZs3D69Gm0bt0a4eHhOHLkiFRZUnlIvrNhw4ahSZMmOHfuHFxdXZGWlgYFBQX+e//+v8C3STN69+6NzZs349GjR1BQUIC5uTkEAgHu3bsHFxcXbNy4EQCk6iKElD6OlcL/YZ8+fcKXL18QExODjIwM6OnpwcDAALa2tiWag1+eJSUlQVtbG4mJiTSomJAK7tSpU5g+fTqCgoLK/W9eRkYGTp48ib/++gsvX77EiBEjMHXqVNSrV69cYxg0aBAuXbqEadOmYc2aNdDQ0MhzcKlkECkA+Pr6olOnTkhNTYWvry+aNGlSbjGT0vfmzRv069cP79+/R4MGDbBnzx7Y2dlBU1MzV9nQ0FDMnTsXJ06cgJaWFkaPHo3BgwejcePGyMzMxJEjRzB16lQAwB9//FGicTmEkEIoTrNCeno6279/P3Nzc2MmJiZMIBDk+VBWVmaOjo5swYIFLCAgoLRaNeQCdRkipHIQiUSsXr16bMeOHbIOhT158oSNGDGCqaiosE6dOrGzZ8+WW1eLGzduMH19faajo5NrzJVIJMrVrUnyevz48UxJSYldvny5XOIkZSs2NpZ17tyZcRzHVFRU2KBBg9iqVavY4cOH2cOHD/lyc+fO5bsI7du3j8XHx+eq68yZM0xBQYHZ29uzL1++lONRECJ/ipQQBAcHs2nTpjEdHR0mEAj4/5kLekgShNatW7NDhw7JvL9rZUAJASGVw/Pnz1nDhg2ZUCiUdSi8qKgotnr1amZmZsYsLS3ZunXrWFxcXJnuUygUsjlz5vB/9x0cHNiJEyek/t7nTAwk52vMmDGM4zh28uTJMo2PlK9169axli1bMkVFRcZxHFNWVmY+Pj6MMcauXbvG/07Wr1+fa9vs7GwmFotZSkoKa9iwIZ80EELKTqG6DMXHx2PlypXYuXMnMjMzAXxbbMvJyQktW7ZE06ZNoa+vD11dXaipqeHr16/4+vUrQkJC8OjRIzx69Ai3b99GRkYGOI5DgwYNsG7dOnTr1q2M2z8qL+oyREjlUZR518uTSCTC2bNnsW3bNjx58gTu7u6YMWNGmXYnOnDgAFavXo2goCCoqKigS5cuGD58OFxdXfm55iVCQ0PRtm1bJCQk4PPnz2U6/oKUv9DQUERERODEiRPo0qULunXrhuTkZAwePBhXr15Fv379sHPnThgaGuZbx7Bhw/Dff//h999/x/z588sxekLkS6EWJrOxsUF8fDz09fUxbNgwDB8+HA4ODvmWNzQ0hKGhIerWrYsePXoAAJKTk3Hy5EkcPHgQ3t7ecHFxwZYtWzBt2rTSORJCCJGRipgMAN8WUBw4cCAGDhwIf39/bNmyBU2bNkXHjh0xc+ZMdO7cudQXgho5ciRq1aqFvXv34urVq7h48SIuX76M+vXrY/DgwXB2dkZKSgpSUlKwa9cuhIeHY9GiRZQMVEHm5uYwNzeXWpxTRUWFX+yzWbNm0NPTy3f7yMhIfq2KH927rKgJOSGVSaFaCAwMDDBnzhxMnToVGhoaJd7p48ePsXz5cjg6OmLJkiUlrq8qohYCQkhZiIyMxM6dO7Fz504YGRlhxowZGDZsGFRVVUt1PykpKfD09MTZs2fh4+ODT58+Afg2UxJjDCKRCADw008/Yffu3fR3ropijEklnWFhYahfvz4yMzPx8OFDNG3aNFcZCS8vL4wbNw6fP3/Gvn374ObmJlU2NjYW+vr6AKQHqxNCiq5QCUFqamqpJALlVW9VQAkBIaQsZWRk4PDhw9i8eTOio6MxadIkTJ48GUZGRqW6n7S0NAQEBMDPzw+XLl3C+/fvYWhoiOrVq8PNzQ29evWCjo5Oqe6TVFxfv35F3bp1ERsbixMnTmDAgAF5XsynpqZi4sSJOHz4MExNTeHv7w89PT0+IYiPj0eXLl2QnJyMgIAAqKioyOiICKkaSmXaUVL6KCEghJQHxhiuX7+OzZs3w9vbGyNGjMDs2bNRu3btMtlfTEwMqlWrBiUlJermAfm8sz137lxs3rwZ8+fPx+rVqwF8G+8iWb8iJSUFGzduxIoVKwAAR48exeDBg/kyWVlZmDRpEjw8PAAAfn5+UlPW5tfiQAjJn3z9FSKEECKF4zh07doVV65cwZMnTyAUCtGoUSP0798fDx48KPX9GRgYQEVFRe4Xmnr58iUSEhLkLhkAgA4dOkBTUxO///471q1bBwB8MvDgwQOsWbOGTwYWLFiAnj17SpVZu3YtnwzMnTsX4eHh8PX1xcePHwF8+00XZmFSQsj/UAtBBUUtBIQQWQkPD8fWrVuxe/duNGrUCPPmzUOvXr3k8uK1LBw7dgwrVqxAzZo1sXfvXtSsWVPWIZW7//77D8OGDQMAdOrUCcbGxlBRUcHp06eRkpICkUiE8ePH47fffoOBgQG/3cGDBzFy5Ej+ta6uLr5+/Qrg2wQoy5Yt4+slhBReoRKClStXltoOly5dWmp1VWWUEBBCZC0xMRG7d+/Gli1boK2tjTlz5mD48OHUX7sEXr9+DWdnZ8TFxeHkyZPo2bNnrvMp6UZU1bu+3L17F5MmTUJQUBA/pTkA1KlTBz169MCmTZukynt5eaFXr15IT0+Hs7Mz2rRpgyFDhiA+Ph4XL17kWxsWL15cqtcthMiDQiUEAoGgxH+UJH/YqBmvcCghIIRUFEKhEEeOHMG6deuQnJyMOXPmYNy4cTQpRDE4OTnh3r17WL9+PWbPnl3gRb/kn+iqmhhER0fj1q1bePfuHbKzs2FiYoKuXbvC2toawP/GFrx58wa9e/fGhw8f0KNHD/zxxx+oU6cOlJSU+LqOHz8ONzc3LFu2DMuWLePfzzk+gRCSt0IlBO3bt8/3j9Hz58+RmJgIAKhRowbMzMwAAJ8/f0Z4eDgAoHr16mjcuDGAbxk+KRglBISQikYsFuPcuXNYvXo1Pn78iBkzZmDKlCk0S1AhnTt3Dv369UOPHj1w8eJF/t/VrKwsXL16FVeuXMHjx4/RvHlzGBkZwc3NDXXq1AEgnwNlJS0lMTExGDRoEO7cuYMmTZrg9OnTsLS0BPDtvDDG+O5sDx8+RKtWrRAQEICNGzdi+fLlsLKykuFREFJJlGSZ4wULFjCO49jQoUPZ+/fvc30eGBjIhg8fzjiOYwsXLizJruROYmIiA8ASExNlHQohhEgRi8Xs2rVrrH379qxatWps/vz5LDIyUtZhVWjZ2dls0aJFjOM4duXKFf796OhoNmPGDKaurs44jpN6mJqasg0bNrDs7GwZRi5b6enpzN3dnXEcxwwNDdmTJ0/yLCcWi/nnoaGhbNCgQYzjOGZubs6ysrL4c5izHCHkf4qdEJw8eZIJBAI2ZcqUAstOmTKFCQQCdurUqeLuTu5QQkAIqQx8fHxYr169mJqaGpsyZQr79OmTrEOqcCQXoZMnT2Ycx7GXL1/y70mShAYNGrAZM2awP//8k40ZM4Y1b96cTwymTJnCYmNj5fJidvHixfx5OHfuXIHlo6Ki2PTp0/ltJNcdKSkpfBmRSFRm8RJSWRU7IWjfvj1TUFBgMTExBZaNiYlhAoGAdejQobi7kzuUEBBCKpPnz5+zLl26MEVFRTZu3DgWEhIi65AqDMnd6UmTJjGO49jNmzcZY4z5+fmxGjVqMENDQxYVFcWXT0lJYXfu3GHTp09n2trazNTUtFAXw1XNtm3b+Av77du3F1g+KSmJrV+/nt9GQUGBdezYkenq6rLu3buzPXv28GUpKSBEWrHnkAsICIC2tja/bPiP6Ovro3r16vD39y/u7gghhFRgtWvXRnh4OCZNmoS0tDTUrVsXY8eORXBwsKxDkzlJ//YOHToAALZs2YKkpCTEx8fjy5cvWLFiBQwNDSESiSAWi6GhoYF27dphxowZ6NSpEyIiIrB8+XKkpaXJ8jDKVWpqKjZv3gwAmDdvHqZMmfLD8kKhEOfPn8fy5csBAPXr10fv3r1hb2+PLl264Pr16xg/fjxGjx4NALQoHiHfKXZCIBQKkZSUhJSUlALLpqSkICkpCUKhsLi7I4QQUoEtXrwY1apVw6ZNm3Do0CH4+/tDJBLBzs4Oo0aNQmBgoKxDlLnOnTvD0dERt27dgre3N79Am5qaGoBviUPOtR6srKywfft2WFlZ4cWLF/j8+bOsQi93Ghoa8PX1xdKlS7F48eIfls3Ozsbt27exePFipKWloWfPnjh69CjOnDmD9evX4+jRo/Dy8oKuri4OHDiAy5cvl9NREFJ5FDshqFOnDsRiMbZv315g2e3btyM7O5ufLYEQQkjV4e3tjd27d+Pff//lp3esU6cODhw4gJcvX0IgEKBhw4Zwd3fHu3fvZBytbIjFYujo6GDixIlIS0uDq6srNm7cCCUlJTx8+BAAci38JhQKYWJiAhMTE+jo6MjdwnA6OjpYvnw5NDU1f1ju+fPnWL58OT59+gQHBwecOHECDRo0APDtvDPG0K5dO1y4cAGbN2+Gi4sLgP/NUEQIKUFCMHr0aDDGsHjxYqxYsSLPloLU1FSsXLkSixcvBsdxfFMdIYSQqiEpKQmjRo3C77//nudNHxsbG3h4eOD169dQUVFB48aNMXLkSLnrSiS5mHd3d8fatWsBAGfPnkVGRgZOnTqFM2fOICMjgy8vFAqhoqKC2NhYvHnzRmq+ffI/QUFBWLNmDR4+fAgDAwNcuHABqqqq/JpHknWUsrOz0apVK/zyyy/8thzHSU3lKhaLyz1+QiqKQq1DkBexWAwXFxdcu3YNHMdBTU0NzZo1Q40aNcBxHMLDw+Hr64v09HQwxtClSxdcuXJF7u5wFBetQ0AIqQzGjh2LT58+4dq1a4X6+x4cHIyVK1fi2LFjcHd3x5IlS2Bubl4OkcqeZF59ANi3bx/++OMPvH//HgDQpEkTzJo1Cx07doSpqSm/zaxZs7BlyxZMmTIF27Ztk0ncFVVkZCRWrVqFHTt2APi2BkGLFi1yLUSW87xHRETg4cOHCAoKwufPn9GuXTuYm5ujefPmAGgRMyK/ip0QAEBmZiYWLFiA7du3QyQSfavw/7NtSbWKioqYPHky/vjjD1ruvggoISCEVHTnz5/HiBEj8OLFC9SsWbNI2759+xYrVqzA2bNnMXbsWCxatEjqQriqYv+/wFhaWhp8fHxw6NAhnDx5Eunp6eA4Dv3794eenh7Mzc3x7NkznDp1ClZWVggICKCVoXNISEjArl27sGjRIgDAkSNH4ObmJnXx/72///4b//zzD548ecK/p6CgAD09PYwdOxarV68G8G1MAg06JvKmRAmBREREBE6ePAlfX19ER0cDAAwNDdGsWTMMGDBALv7IlzZKCAghFVlMTAwaNGiADRs2wN3dvdj1vHz5EsuWLcOVK1cwceJELFiwAIaGhqUYacUWFhaGhw8f4uDBg7h48WKuz7t06YKFCxeiffv25R9cBXbhwgX07dsXALBq1So+MWB5rOjMGMPWrVsxa9YsAN8Gd7dr1w5KSkqIjo7G1q1bwRhDt27dcPLkSWhoaMjlytBEvpVKQkBKHyUEhJCKijGGgQMHAgBOnjxZKhdOz549w9KlS+Hl5YWZM2dizpw50NbWLnG9lcmDBw9w69YtMMaQlZUFBwcHdOnShZ+FiEhzcnKCnp4ezpw5AwC5Wgckrw8fPswnrVpaWli3bh3Gjx/Pl3vx4gWGDRuGly9fom/fvvjnn3+gq6ub5z4pUSBVFSUEFRQlBISQiurQoUOYPXs2Xr58CQMDg1Kt+8GDB1iwYAFevnyJRYsWYfLkyXRBTAr0fTcfSTLw4cMHNGvWDAkJCbC1tUVgYCA4jsOuXbswbtw4vnxsbCw6deqEkJAQHD9+HN27d8+1D0mdEREREIvFqFGjRrkcGyHloVRG+MbGxuLEiRPYsGEDVq5cWRpVEkIIqYDCwsIwdepU7Nmzp9STAQBwdHSEt7c3Dh8+jEOHDqF27dr4559/+HFqFRVjLNcsNZLXhb3vJilH9+mKhjGWq8+/pKVgxYoVSEhIgL29PW7evIl169aBMYYJEybg119/5cvr6+tj+PDhSElJwdGjRwFIzzqUnZ0NgUCAtLQ0TJgwAdbW1vDx8SmHoyOkfJQoIRCJRJg9ezZq1qwJNzc3zJ8/HytWrJAqEx8fD11dXaiqqiIiIqJEwRJCCJGtNWvWoH///ujTp0+Z7YPjOHTv3h1Pnz7F+vXrsXbtWjRo0ACnTp2qsBfLHMdBLBYjPDwcz58/R1xcHAQCAcRiMd/FpKBpLSV1UJeUosnvfCUnJyMsLAwA0LhxY+jq6mLOnDk4ffo0BAIBfv/9dwwdOhRJSUkAAAcHBwDgV4SWJBVisZhPOJYtW4YbN26A4zjcunULWVlZZXpshJSXEiUEgwYNwpYtW5CZmQk7O7s8p+rS0dHB0KFDkZmZiXPnzpVkd4QQQmRs8+bN+PPPP8tlXwKBAG5ubnj9+jVmzpyJadOmoUWLFvD29i6X/RfFgQMH0KdPH9SvXx+dO3eGmZkZRo4ciR07duD58+cAwCcIOZMayXz5oaGhEAqFNDV3KYqLi8OjR48AfBtIrK6uDrFYDFdXV/j5+aFGjRo4evQoevTogYSEBISHhwP4NoNiZmYmv3CZ5DvZunUrdu/eDYFAgGnTpmHMmDG0PgSpOlgxHT16lHEcx4yNjZmfnx9jjDFjY2MmEAhylfX29mYcx7GePXsWd3dyJzExkQFgiYmJsg6FEEIqhNTUVLZmzRqmpaXFevXqxV69eiXrkBhjjG3cuJFxHMcEAgHT1dVlTZs2ZRzHMY7jmIaGBmvatCn77bffWGRkJL9NdnY2/zwzM5M5OjoyV1dXduPGDVkcQpWUlpbG6tSpw1RUVNi1a9cYY4yJRCImEokYY4zFxcWxNm3aMI7jmKmpKTMxMWEcx7FDhw4xxqS/o+PHjzNTU1OmoKDARo4cyV6/fl3+B0RIGSr2rYh9+/aB4zisX78eTZs2/WHZFi1agOM4vHjxori7I4QQIufU1dWxcOFCBAUFwcrKCg4ODpgwYYJMu6MGBgZi3rx5MDQ0xLVr1/Dy5UvcuXMH9+/fx8SJE2FtbY2XL19ixYoVGDZsGC5dugQAUi0BV65cQUhICM6dO4d58+bRirmlQDIAWE9PD5mZmXj48CGA/403EIlE0NXVxb179zBixAhEREQgMjISvXr1Qps2baTq8vHxwfLlyxEREYHu3btjwoQJqFevniwOi5CyU9xMwsDAgAkEApaWlsa/l18LAWOM6ejoMDU1teLuTu5QCwEhhPzY+/fv2YABA5iGhgZbtmwZS05OLvcYJk2axDiOY1u2bMnz89u3b7OZM2cyGxsbxnEcq1evHtu1a5dUrF++fGG7du1i9vb27MyZM+UUedUmFosZY4z9999/TENDgzk6OvLnXNJCkJWVxZdftGgRq1GjBtu/fz+/LWOMBQUFMScnJ8ZxHHN0dGQXLlzItQ9CqoJiJwTKyspMR0dH6r0fJQTa2tqUEBQBJQSEEFI49+/fZ61bt2ZGRkZs9+7dUhd6ZSkjI4MNHDiQqaqqssDAQMbYt+4/jEl3N0lISGCHDx9mnTp1YgoKCszW1padPn06V33v378vl7jlSWhoKOvUqRPjOI517tyZxcXFMcb+dzEvFAr5sq9fv5ZK1BISEtjAgQMZx3Gsbt26UskCJQOkqil2lyEdHR0kJiYiIyOjwLLh4eFISkqSq9UnCSGElA9HR0fcu3cPO3fuxPr162Fvb48bN26U+X5VVFQAAEKhEE+fPgUAfpCppEsQYwza2toYOnQo1qxZAxcXFwQFBWH48OF8jJIpVW1tbcs8ZnlTs2ZNeHh4oEmTJrh58yZatmwJb29vfiYhZWVl/vzXq1cPmpqa/LZLlizB6dOnYWJigp9//hkDBw4Ex3EQiUR5roZMSGVW7ISgcePGAIDbt28XWHb37t0AgJYtWxZ3d4QQQki+OI5Dv3798OrVK4waNQoDBw5Enz598P79+zLZn+QCUDJV5YEDBxAZGQkAUmsmcBzHl23RogUOHTqEAQMGID09HUeOHAGAPGfoI6XH3Nwc9+/fh6urK4KDg9GxY0f8/PPPWLBgAcLDw/nzn/Oi/o8//sA///wDTU1NjBgxAu7u7tDQ0IBYLObLBwcHIz4+HllZWVLfMyGVUnGbFvbt28c4jmPNmzdnqampjLG8uwwdO3aMKSkpMYFAINX3jvwYdRkihJDii46OZpMnT2aqqqpsxowZ7OvXr2Wyn8+fP7NGjRoxjuPYjBkzpD7L2W2Isf/1XX/58iXT1dVlampq/Cx9pHz8+eefzMnJiSkpKTGO49i9e/dylTl48CAzNDRkSkpK7Oeff86zK9ejR49YmzZtWMuWLdm8efPY27dv+c++/94JqQyK3UIwYsQItGjRAk+fPoWjoyN27drFL9Dh6+sLDw8PdO3aFUOGDIFIJELHjh3Rq1ev0spjCCGEkHwZGBjgr7/+wpMnT/D69WvY2Nhg+/btpb6QlKmpKX7++WcA3+ap79y5M/z8/AB86zYkWWcAABQUFMAYg52dHZycnGgBMhmYNm0aDh8+jNu3b+Ps2bNo06aN1NoQt27dwsqVKxETE4OePXti/PjxeXbl0tDQgL29PaKjo7F+/Xp0794dp0+fBvC/9SYIqVRKkk1ERUWx5s2b8/Mv5/XgOI61atWKH8hDCodaCAghpHSIxWJ26dIlVqdOHVavXj12/fr1Ut/HkSNHmKWlJeM4jtWqVYtt2rRJaha+7OxsqYGoHTp0YEpKSszb27vUYyFFIxkI/urVK9aqVSvGcRxzcnJinp6efBlJ605OycnJLCYmhp9piuM4tn79+nKLm5DSVKKEgLFv/yNt376dNWnShCkoKPD/U3Acx+zs7NjWrVulRvGTwqGEgBBCSldmZibbvHkz09LSYv3792chISGlVndWVhY7deoUc3Z2ZhzHMUVFRdahQwd2/vz5XGVPnjzJOI5jTZo0KbX9k+KRdO+JiYlhrq6ujOM41qBBA3b48OE8y0pubn6fIHh4ePDXPtu3by/7wAkpZRxjpTcKJiUlBZGRkcjOzoaRkRGqV69eWlXLnaSkJGhrayMxMRFaWlqyDocQQqqMqKgoLFy4EMeOHcPcuXMxf/58qKmplUrd7969w59//olLly4hNDQUAODs7IwuXbpAQUEBKSkp+Ouvv5CQkICrV6+iS5cupbJfUnxisRhDhgzBiRMnYGFhgZkzZ2L8+PFQVVUFAKSmpuL+/fv466+/EBQUBHNzczg4OGD48OGoU6cOX8+///6LcePGwdnZGRcvXoSysrKsDomQIivVhICUHkoICCGkbD1+/BhTp05FdHQ0Nm7ciP79+5dKv/7MzEx4eXnhzJkzOHr0KJKSkqQ+t7CwwKRJkzBv3rwS74uUjp9//hkeHh5YtGgRZs6cCT09PQDfkoUNGzbgn3/+QWBgIBQVFflZpExMTLBt2zb0798fAPDp0yd06dIFQUFBePLkCT8DlYRk9eSsrCykpKRAR0enfA+SkB8odkJw584dAECDBg2gq6tbYPmHDx8iMzMTTk5Oxdmd3KGEgBBCyp5YLMaBAwewYMECNGzYEH/++Sfq169fKnULhUJERUXh4MGDSExMRHJyMqytrdG7d2/Y2NhAQUGhVPZDSoenpydsbW1hbW0Nxhg4jsPVq1cxe/ZsvHv3Dq1bt8bs2bORnJyMa9eu4eDBgwCA5cuXY+nSpQCA1q1b4+HDh7h16xbat2/P1y2pLzs7G7t27UJ4eDh++uknNGnSRAZHSkgeit3X6P8HEltZWbFXr14VWN7Y2JgpKCgUd3dyh8YQEEJI+UlISGAzZsxgqqqqbN68eVIr1hL5IxlbsGrVKsZxHLO1tWXPnj2TKrN3715++tLhw4czb29vZm1tzczNzVl0dDRfLjMzkwUFBTHGGDt+/DirWbMm09DQYFu2bGHp6enldkyE/Eixpx39/2QCHz9+ROvWrXH16tVClSeEEEIqGm1tbWzevBmPHz+Gj48P6tWrh9OnT5f6v1v072DlILmbL1l8tX379mjSpAnEYjE/lezYsWNx8+ZNWFhY4PDhwxg8eDA+fPiAli1bSi129ujRIzRq1AjOzs7YsGEDIiIi0LRpUzg6OvLjFAiRtRIlBDo6OnB2dkZSUhJ69+6NHTt2lFZchBBCSLlr2LAh7ty5g99++w0TJkxAz549ERwcXGr109oDlQPHcVBQUECLFi0AANHR0fz7AJCdnQ3GGNq1a4cDBw7A1NQUMTEx0NfXx5gxY/jxARzHQV9fH5mZmbh79y58fX1hZ2eHP/74g6+bkIqgRAmBiooKrl27hhEjRkAkEmHatGmYPn063QEhhBBSaQkEAowaNQrv3r2DhYUFGjVqhBUrViAjI0PWoZFy1qxZM6ioqOD8+fM4ePAgnygoKCiA4zi8e/cODx48QHx8PABg1qxZ6N69OwDwg48tLS3RvXt3CAQCMMYQEREBExMTAN8Si5yLmOVcyI6Q8lSihAAAlJSUsH//fqxcuRIA8Ndff6FXr15ISUkpcXCEEEKIrOjq6mLnzp3w8vLC+fPn0aBBA1y7dk3WYZFy5OrqimXLlgEARo4ciZkzZ8LPzw++vr64ePEiJkyYgLVr1yI9PR0TJ07EggULAABZWVlQVFREQkIC5s2bB29vb+jq6qJ+/fqIiYlB/fr14enpCQUFBQgE3y7FxGIxFBQUkJycjDlz5pRqyxQhBSru4AOO45iJiYnUe//99x9TU1NjAoGANWrUiIWGhvKfGRsbM4FAUNzdyR0aVEwIIRWHSCRi27ZtY1paWmzo0KEsKipK1iGRcnTs2DFmZWXFOI5jKioquRZidXFx4RcrkyzGKhaL2Zo1a5iBgQHT1NRkCxYsYCkpKWz+/Pn8dlu2bMm1rzlz5jCO45ilpSX79OlTuR4nkV8lbiHIyc3NDTdu3IC+vj5evHiBli1b4vHjx6W5C0IIIaTcKSgoYOrUqXjz5g2EQiHq1q0LDw8P6iIrJwYPHowbN27gypUr+OOPPzBv3jy+20/Dhg2xd+9eKCgoIDMzk1+QzMPDA3v37kVCQgL69u2LcePGQUNDA2vXrsXWrVsBAA8ePJBap+Ljx4+4efMmNDU10bNnT35wMiFlrdjrEAgEAhgbG+PLly+5PgsJCUHPnj3x9u1bqKmpwcPDAzNmzEB0dDT1jyskWoeAEEIqrgsXLmDKlCmoVasWdu/eLbViLanaPn36hF9++QXnz59HjRo1cObMGTRr1gwikYi/gL948SKWLFmCgIAAdO3aFb///juaNGmCrKwsKCkpAQB8fX2hq6uLWrVqAfjfwmUvXrzAhQsXMGDAAPpdkXJTqi0EElZWVnjw4AE6duyI9PR0DB06FDExMWWxK0IIIaTc9e7dG3/++SeysrLQtGlTrFixAkKhUNZhkXJQs2ZNZGZmAgC2bduGZs2a8f3/gW8rYG/evBkBAQFo1qwZZs2axS9ApqSkxA8ibtasGSwtLQEAN27cQK9evRAYGIiGDRti/vz5lAyQclUmCQHwbU5nT09PjBkzBowxqVH0hBBCSGUlFovh5+eHESNGYNKkSbhz5w7OnTuHJk2awMfHR9bhkTImEAhw+fJleHt7w9XVlX+f4ziEh4dj27ZtuHPnDmxsbDB9+nR06dIFwP/WoMg5iFggECAwMBCrV6+Gp6cnJk2ahLi4OFrFmpS7YndO27dvH9TU1H5cuaIi9u7dizp16uDy5cvF3RUhhBBSIYjFYty7dw+DBw/G4sWLMXz4cADf7gpv2bIFXbt2xdixY7FmzRpoamrKOFpSlpycnAB8+01I1ie4ffs2rl+/jurVq2P8+PEYNmwYgG/JQM41KLKzs6GgoICEhAQsXLgQt2/fRsOGDeHm5gZdXd3yPxgi94o9hoCULRpDQAghFQtjDP7+/hg4cCB69uyJLVu25FpoLCgoCD///DM+fvyIv//+G127dpVRtJWD5C55VeHm5objx4+jZ8+eOHr0KDQ0NHIdY87X06ZNw44dO2BsbIzZs2dj4sSJUFdXz5VAEFLWqs7/hYQQQkgZYYwhKCgI48aNQ9OmTbFp06Y8L9hsbGxw69YtLFy4EIMGDcLo0aPx9etXGURc8YWHh+PkyZMQi8VVZrYmVVVVAEDbtm2hoaGB7Oxsqd8JY4xPBtauXQsPDw9oampi5MiRGD58ONTV1aVaHCQTsVSV80MqLkoICCGEkAJERERg6tSpUFdXx8GDB3/Yx1sgEGDChAl49eoVvwjVqVOnyjHaii8zMxOOjo6YMmUKPn36VGXuhrdp0wYAsHz5cly9epVf0VhyQS85zoMHD2LTpk3IysrCTz/9hDFjxsDQ0DBXy4DkdyZ5jxIDUlYK1WWoY8eOAAALCwvs27dP6r0i7YzjcPPmzSJvJ4+oyxAhhFQMGRkZGDt2LPz9/XH37l3o6OgUelvGGP777z9Mnz4d7du3x44dO2BoaFiG0VYOvXr14scWurq64p9//inSea3IFi1ahLVr10JDQwN//PEHJk+eDOB/4whu3ryJiRMnIjg4GK6urli0aBGaNWsmVcejR49w48YNvHr1Cvr6+rCzs0OnTp1gY2MDoOp1tSIVQGFWL5OsqFevXr1c7xXlQSsVFx6tVEwIIRXD8uXLmZmZGQsLCyt2HVFRUWzgwIFMX1+fnThxohSjq3xmzZrFOI5j9vb2zNTUlJmYmLCbN28yxhjLzs6WcXSlY/PmzYzjOGZqaspCQkL443r58iVr2bIl4ziOOTk5satXr0ptFxAQwJYuXcqUlJRyXUOZmppK/XaqyrkiFUOhZhlatmwZAEBfXz/Xe4QQQkhVtWfPHmzZsgV3796FmZlZsesxNDTE8ePHcfz4cUyYMAEnT57E9u3bpf5dlQd79+7F5s2bYW9vj82bN+PAgQPw8PDAwoULceXKlSozw86MGTNQu3ZtpKamwsDAAAKBADExMVi4cCEeP36MBg0aYOLEiVKDzt+8eYNFixbh9u3bEIlEaNWqFRo0aABDQ0MEBgbixIkTGDx4MLZs2YLp06dTCwEpXbLOSEjeqIWAEEJkJyMjgx08eJCpq6uz27dvl2rdERERrG/fvszQ0JCdPn26VOuuyO7evcvf6b5+/TpjjLH3798zKysrxnEcW7NmDROJRFXqzrdYLGaMMZaZmckmTJjABAIBMzc3Z9u2bWMZGRl8uZiYGNa/f3+moKDAqlevzsaMGcMyMzOl6tq3bx/jOI6pqqryvxtJ/YSUFKWXhBBCSA4ikQghISH49ddfceDAAX6++dJibGyMM2fOYNOmTRg7diyGDx9e5WciioiIQN++faGkpIRVq1ahc+fOEIvFsLW1xZQpU8BxHE6dOoW4uLgqdedbMhj433//xd9//43q1atjzJgxGDJkCFRUVAB8G1uwa9cuXL9+nZ9xaPPmzVBSUkJWVhY/09CoUaOwcuVKCIVCXLt2Tap+QkqqUv5fFxISgj179mDcuHFo3LgxFBUVwXEcVq1aVaz6nj17hqVLl8LZ2Rn6+vpQUlKCoaEhevTogTNnzuS73f79+8Fx3A8fnp6exT1MQggh5Sw7OxthYWGwtLTEixcvMHDgwDLZD8dxGDZsGF6+fInExETY2dlV6QU8O3fujPj4eCxcuBCjR4+W+mzAgAGwtbWFn58fpk+fjqSkJBlFWXbGjh2LUaNGoUePHhgxYgT09PT4GYMiIyNx+/ZtpKSkoF27dpgzZw60tLQgFouhpKQEBQUFiMViAEDTpk0BAKdPn8bHjx/59wkpqWKvVCxLW7duxdatW0ulruDgYNjb2/OvraysYGlpiQ8fPsDT0xOenp4YOXIkPDw88r1rYWhoCFtb2zw/qyqzJhBCSFXHGEN4eDgMDQ2hqqrKzylflkxNTXH+/Hns378fbm5uGDp0KDZs2FClVjm+desW3rx5g0GDBmHx4sUA/jdLDmMMlpaW2L59O9zd3fHgwQM8f/4cTk5O/Gq+VYWHhweioqJgZGQE4H939319ffkZGGfOnAkzMzOp9QpyUlJSgrq6OjQ0NKCmplalWlOIbBUqISjOFKN5Ka1pR/X19dGrVy+0aNECzZs3x969e4s9xzNjDCYmJpgxYwbc3d1hYmIC4Nsfqx07dmD69Ok4cOAAmjVrhqlTp+ZZR48ePbB///7iHg4hhJAKIDIyEjo6OtDQ0CjX/XIch9GjR6NDhw4YMWIEmjZtioMHD6JVq1blGkdZ6dixI/z9/WFoaAhFRUWpC33JRXGjRo3QunVrnDlzBr/99hsuXrzId6mpSiTJAPC/pMjPzw8A4OLigo4dO+Y5pajkPH348AFpaWlITk5GRkZGvvsRiURQVKyU93yJjBTq1+Lt7V0qOyutvm6SOwwSR48eLXZdZmZmCAoKgrq6utT7AoEAU6dOxatXr7Br1y7s2bMn34SAEEJI5WdoaCjTO9KWlpbw8vLCpk2b0LFjR8yZMwdLliyBkpKSzGIqKUm3mIYNG/Kv8zrHhoaGWLFiBe7du4ebN29ix44dmDFjRr53yqsCyXFJ/isZK/D98UoShPfv32PLli0AgCFDhsDCwkJqwbNHjx7hwYMHmDFjBiUDpMiKNO1oVVRQk3DXrl2xa9cuvH//vpwiIoQQIgsVoXuKgoIC5s6di27dumH48OG4fPkyDh48iHr16sk6tGL5/kZgfjcGxWIxGjRogOnTp2Pp0qU4efIkRo0aBR0dnVyr91Y1devWBQB8/foVaWlpUFNTg1gshoKCAt+akpCQgM2bN+Pjx4+oWbMmWrduDQB8uY8fP2LLli04duwYHj16hEOHDoHjuCqbTJHSJ/cJQUEkTXJqamr5lvH398fQoUMRGRkJLS0tNG3aFMOHD4e1tXV5hUkIIaQYkpOToaqqWuHuwjdq1AhPnjzBkiVL0KxZM6xduxZTp06tshfGkgvXAQMGwMPDAw8ePMC8efOwbdu2chnLIUuOjo5o1aoVHj58iCNHjuDnn3/mk1MFBQUwxrBq1SqcPHkS2dnZ6NixI3r27Ml/npiYiE2bNsHT0xPW1tawtbWVSm5ztiIQkh9KHQtw/PhxAECbNm3yLfP8+XP8999/8PLywrlz57B8+XLUqVMHq1evLq8wCSGEFFFqaiq+fv1aYbtXqKioYN26dbhy5QrWr1+PXr16ITo6WtZhlam6deti+/btqF69Ory8vPDixQsAqNKz6ZiZmWHs2LEAgPHjx2Pp0qX4+PEjgoKCcOvWLQwYMACbNm1CUlISOnbsiF9//RXVqlUD8O28bNu2DefPn0diYiLS0tLg5+eHSZMmYdWqVXj69Ck/62FVPoek5Cgh+IFr167h7NmzAIC5c+fm+rx69eqYNm0afHx8EBUVhYyMDDx79gzu7u7Izs7G4sWLsX379nKOmhBCSEEyMjIQHR0NMzOzCn/n1MnJCf7+/tDU1ESjRo2q/HTWTZs2RcuWLfHhwwesWrUKIpGoynd9GTt2LP79918AwKpVq9C6dWu0bNkS/fv3x9mzZ6GmpoZBgwZhzZo1sLGx4bfz8PDAgQMHEBoaCoFAAFtbW2RkZODGjRtYunQp2rVrh3/++QcA+FmdCMmTLFZDK20jR45kANhvv/1WanV++vSJ6evrMwBs8uTJRd5+xowZDADT1tZmSUlJRd6eViomhJCykZmZyT58+MCysrJkHUqRiMVi5uHhwTQ1NdmMGTNYenq6rEMqM76+vszAwIBxHMcuXrwo63DKzZMnT5irqyuzs7NjHMexGjVqsIYNG7IjR46wsLAwqbLnz59nTZo0YQKBgDVu3Jg/T5KVntetW8c4jmMcx7HNmzeX96GQSoZjrGTpYmRkJDw8PHDv3j2Eh4cjNTU13wyU4zgEBweXZHd5GjVqFA4cOIDffvst1wxExfH161e0a9cOr1+/Rvv27eHp6Vnk6c+SkpJgaGgIoVCIs2fPom/fvkXeXltbG2FhYdDS0irStioqKlVyujZCCCmp7OxshIaGwtTUtNL+nQwMDMTQoUORmZmJ//77D/Xr15dpPCyPQb95TZ1Z1PomTZqE0NBQXLp0qTTCrDRSU1ORnJyMjx8/wtTUFKqqqjA0NJQ6zw8fPsSiRYvg7e2NFi1aYOXKlejatWuu7+LPP//EjBkz0KxZM5w9exampqayOixSwZWo4+SZM2cwcuTIApMAVokGtKSkpMDFxQWvX7+Gg4MDzp8/X6x/NLS0tGBnZwc/Pz8EBQUVO56aNWsWeZtly5Zh+fLlxd4nIYRUZSYmJpU2GQAAW1tb+Pj4YNmyZWjRogXWr1+PiRMnyvzf2M+fP0NDQwPVqlXLNai1KLFJys6cORMWFhalHmdFp6GhAQ0NDRgbGwP436BgyYxCQUFB2LhxI+7evYvatWtj+vTp6Nq1q1QdktmJ2rVrh+rVq+P58+cICQmhhIDkq9gJwevXrzF06FAIhUL07NkTPXv2xOTJk6GtrY2NGzciMjISN27cgLe3N/T19bF8+fJyX+ylqIRCIfr27YtHjx6hfv368PT05AfuFIdk1gqRSFTsOorbQkAIISQ3BQWFCjG9aEkpKyvj999/R5cuXeDu7o6bN29i7969qF69ernGIRKJsHHjRty+fRuPHj2Cubk51NXVMWPGDDRq1Ah16tThB7QWtcWgdu3aZRR15SI5fwoKCoiLi8OmTZtw6dIlGBgYYMKECRg6dCgA6cRL8hsXiURITU2Vi3EYpISK29fo559/ZhzHMXd39//1P+I4ZmJiIlXu8uXLTENDg7Vo0YJlZmYWd3c/VBpjCLKyslifPn0YAFarVi32+fPnEsUkEolY9erVGQB26NChIm9PYwgIIaR0iMXiKt3fPjo6mvXo0YNZWlqyhw8fluu+f/rpJ8ZxHFNVVWXq6urMyMiIcRzHFBUVWbdu3djOnTtZRkYGY+x/fdslxGKx1OvvPyfSMjMz2YoVK5iuri7T1tZm8+fPZ2lpaYyxvM9dfHw8W7RoEVNQUGBt27ZlX758Ke+QSSVS7HTR29sbHMdh4cKFPyzXo0cPbNy4EU+ePOFX2KtoGGMYNWoUzp8/D1NTU9y4caPEzWr//PMPEhISoKCggPbt25dOoIQQQoosLi4OSUlJsg6jzBgYGODixYuYMmUKOnTogA0bNpTLFJOrV6/G8ePH4eTkBD8/PwQEBODu3buYPXs2TExMcP36dSxevBi//PILwsPD871D/fTpUyQmJtIsOAXw8PDAunXrkJmZiYEDB2LGjBn8ImaScys5fyKRCN7e3jhz5gzEYjFatGjBd0EiJE/FzSTU1NSYsrKydHYhEDBdXd1cZVNTU5mioiKzt7cv7u5+qDAtBJs3b2YWFhbsp59+yvXZtGnTGACmr6/PXr9+Xah9JiYmMjc3N/bo0SOp90UiEfv777+ZqqoqA8DGjx9ftIPJUT+ohYAQQkokPj6eff78Odfd6Krq4cOHzMLCgrm4uLCYmJgy28/Hjx+ZjY0N09HRYW/fvs31+c2bN9nw4cOZjo4O4ziO9erViz1//pz/XPJ9PHr0iBkZGbGBAwcW+t9fefXhwwdmY2PD2rRpw169esUYy93KInHnzh3WsWNHxnEca968OYuMjPxheUKKPYZAWVk51yAhTU1NJCYmQiQSSS30oq6ujmrVqpXaDEM+Pj5Ss/akpKQAAH7//XepVohnz57xg3ITEhLw6dMnWFpaStX14MEDbNu2DcC31YjHjRuX737v3bvHPxeLxTh69CiOHj2K6tWrw8rKCoqKiggMDERCQgKAb60jW7duLcmhEkIIKaaUlBQkJSWhZs2aMh9wW15atmyJZ8+e4eeff0bjxo1x5MgRODs7l/p+0tPTER4ejk6dOqFOnTr8v/uSwawdO3aEtbU16tSpAw8PD1y6dAkcx2HFihVo2rQpOI5DdnY27t27B4FAgFOnTkFXVxe7d+8u9VirCisrKwQEBCAwMJCfWSqv33VAQAD++usveHl5wcjICDt37oSRkVGJZn4iVV+xEwJTU1O8e/cO6enpUFNTAwBYWlri5cuX8Pf3h4ODA182Pj4eCQkJpbb8eFZWFuLi4nK9n5aWhrS0NP51dnZ2gXUJhUL+eVhYGMLCwgoVg4aGBtatW4f79+/j5cuXCA4ORnp6OvT09NCzZ0+MGDECgwYNkpt/hAghpCJJT09HbGwszM3N5e7vsI6ODk6ePImdO3fCxcUFv/76KxYsWFCqF4OpqakQCoUICgrCly9f+G62OQdsW1hYYPr06dDS0sKff/6Jq1evwtraGnXr1oWamhoUFBQwbNgwCIVCeHp6YvXq1aUWX1WlpqaGRo0aAch79qaQkBDs3bsXx48fh5KSEnbu3AkHBwcwxigZID9W3KaF/v37M4FAwPz9/fn3Jk2axDiOY25ublJlJ0+ezDiOY02aNCnu7uQOdRkihJDii4uLq3QLj5WFp0+fMisrK+bi4sJiY2NLrd7ExETWqFEjpqamxv777z/G2LcuszlJuqdkZWWxzZs3M0VFRcZxHDt48KBUudTUVBYXF1dqscmrqKgo9ttvvzEVFRXGcRzbsmWLrEMilUix08WePXuCMYZTp07x702cOBECgQDHjx9HgwYNMGzYMDRq1Ai7du0Cx3EYM2ZMaeQwhBBCyA/p6upKdV2VV/b29vDz84OSkhLs7e3x+PHjEtfJGIOWlhZcXFyQkZGBlStX4tOnT1BQUABjTGrtIbFYDEVFRcyYMQNz584FAGzcuBHR0dFgjEEsFkNdXR26uroljkueJSUl4dy5c9i+fTsyMzMxffp0/PLLLwBAA7VJoRQ7IejduzdGjhwp9Qe3UaNG2LJlCwQCAV6/fo3//vsPL1++BGMMbm5u+D/27jusqfPtA/j3hD3DkD2d1L2tigMVJ+69F7hHbevWirtubWute2vd4tY6wIFWxV0VxYHsDWEEyHreP3zJr1RRCIFDyP25Lq7KyTnn+cbGJPc5z5gyZYpaQhNCCCH/pVAo6MvPZ1hYWODkyZOYMmUK2rRpg40bNxbr7ymvm8rUqVNRu3ZthIaGwsfHB48ePQLHccpCAAAEAoGy++706dNRu3ZtvH37FpGRkeA4jrqxqMnNmzcxZ84cJCQkoHfv3srxlKyIi8IR7cWxEnj3DA0NxbFjxxAZGQmhUIhOnTqhbdu26m6mXEtPT4dQKIRIJCrywmSEEKJtGGOIjIyEra2t2sarlUc3b97EgAED0KpVK2zbtq1Yi28CQEhICMaPH4+HDx+idu3aWLlyJTp16gTgf6vlAv/7Ytq7d28EBATg9OnT6Nq1a7GfD/koPT0dTZs2RXZ2NkJCQmBtbU2DiEmRlEhBQIqPCgJCCCkcxhhiY2NhbGxc6iv1aqKEhAQMHjwYUVFROHHihHLGGlUwxnD27FksXboU9+/fh4uLC2bMmIHJkycD+HjXJu+uAfCxu/H169dx4cIFtGzZUi3Ph/xPVFQUnJ2dqRggRUavFkIIIRotMTER+vr6VAwUkq2tLS5duoS+ffuiadOmOHbsmMrn4jgOXbt2xcqVK9G+fXtERkZi6tSpGDhwIKKiopCTk6MsBnbv3o0LFy6gSpUqqFWrlrqeDvkXZ2dnAKBigBQZ3SEoo+gOASGEfF1qaipycnJgb29PfaVVcOrUKQwfPhzjxo3D8uXLizUQOywsDL/++iv2798PkUgER0dHtGzZEs7OzkhPT8f27dvBGENQUBBatWqlxmdBCCmuYhcEb968wZEjR/D06VOkpqZCKpUW3BjH4erVq8VpTmtQQUAIIV8mk8kQFxcHJycnKgaK4dWrV+jduzfs7e1x6NAh2NjYqHyurKws3LhxA0uXLsWdO3fyPebh4QF/f38MHDiwuJEJIWpWrIJg7ty5WL16daFndshbmZB8HRUEhBBCSktGRgZGjx6Nu3fv4sSJE2jUqFGxz3nhwgWkpKQgMjISNWrUQK1atVCpUiU1pCWEqJvK9wY3bdqEFStWAPi4QrG3tzfs7Oxo3mdCCCFEw5iZmeHIkSNYs2YNWrdujV9//RW+vr7FOmfnzp3VlI4QUtJUvkNQu3ZtvHjxAiNHjsS2bdtoAIua0R0CQgj5lEwmQ1JSEuzt7fmOUm5dvXoVAwcOxIABA7B+/Xro6enxHYkQUsJULgiMjIwgkUiQkpICoVCo7lxajwoCQgjJTy6XIzIyEvb29rTWQAkLDw9Hz549YWFhgaNHjxZrXAEhpOxT+bK+paUlhEIhFQOEEEJKHGMM0dHRsLGxoWKgFLi7uyM4OBi2trZo3Lgxnjx5wnckQkgJUrkgaNKkCdLT05GUlKTOPIQQQkg+ecWAUCiEiYkJ33G0homJCQ4fPgw/Pz+0aNGiWOsVEELKNpULghkzZoDjOCxbtkydeQghhJB8kpKSYGRkRHekecBxHObPn4/9+/dj9OjRWLBgARQKBd+xCCFqVqxpR7dv345JkyZh1KhRmD17Ntzd3dUYTbvRGAJCCPlILpdDR0eH7xha7/nz52jbti2sra1x7949mJqa8h2JEKImxZoj1M/PD8nJyZgzZw62bdsGKysrmJmZFbg/x3F4+/ZtcZokhBCiZagY4J9CocCBAweQk5MDIyMjeHp64syZM3B1deU7GiFEDVQuCORyOYYPH45Dhw4B+NjHMzk5GcnJyQUeQytJEkIIKQyxWAyBQEADiMuA7OxsjBw5Evfv38fdu3dRuXJlTJ06FU2aNMGpU6fw7bff8h2REFJMKhcEGzZswJ9//gkAaNmyJTp27EgLkxFCCCm2nJwcxMfH09XnMiAhIQE9evQAx3G4e/eucvrRTZs2oXr16mjXrh22b9+OgQMH8pyUEFIcKn9737FjBziOw5w5c7B06VJ1ZiKEEKKlpFIpYmNj4ezsTF2FePby5Uv4+PigSZMm2L17d767NRzHYerUqahatSoGDhyI0NBQ+Pv7U08AQjSUyoOKjY2NIZFIIBKJaBq4EkCDigkh2kYulyMiIgKOjo4wMDDgO45Wu3btGvr06YNJkyZh8eLFEAgKnpTw+fPn6Nq1K7799lvs2rULRkZGpZiUEKIOxVqYzNzcnIoBQgghxaZQKBAVFQU7OzsqBni2c+dOdOvWDevWrcPSpUu/WAwAQM2aNXHv3j1ERUXBy8sL8fHxpZSUEKIuKhcErVq1gkgkQnR0tDrzEEII0VI2NjYwNjbmO4bWUigUmDt3Ln788UecPXsWo0aNKvSxNjY2uHr1KqpUqYJmzZohNDS0BJMSQtRN5YJgzpw5MDAwwMyZM9WZhxBCiBYSCARUDPAoOzsbgwYNwqFDh3Dnzh20adOmyOcwMDDA/v37MWTIEDRv3hzXr18vgaSEkJKgckFQp04dnDhxAhcuXEDnzp0RGBiIrKwsdWYjhBBSzuXm5vIdgQCIiYlBVlYW7t69i2+++Ubl83AchyVLlmD16tXo0qULDhw4oMaUhJCSovKgYlVmf+A4DjKZTJXmtA4NKiaElHcikQhZWVlwdHTkOwopAX/99Rf69euHGTNmYN68eTQDESFlmMp3CBhjKv0QQgghmZmZEIlEcHBw4DsKKSEdOnTArVu3sGXLFvj6+kIqlfIdiRBSAJXvEKjaN7B169YqHadt6A4BIaS8ysnJQVxcHFxdXb86gw3RfDExMfDx8YGNjQ2OHz8OMzMzviMRQv5D5YKAlCwqCAgh5ZFEIkF0dDRcXFxoZXstkpGRgT59+iA5ORnnz5+HnZ0d35EIIf+i8qWZihUronLlynjz5o068xBCCCnHxGIxnJycqBjQMmZmZjh79iyqV6+O5s2bIywsjO9IhJB/UbkgiI2NRWJiIqpUqaLOPIQQQsoxCwsL6Ovr8x2D8EBfXx979+5Fnz594Onpifv37/MdiRDy/1QuCBwdHWmQMCGEkK+iSSVIHoFAgFWrVmHu3Llo27YtLly4wHckQgiKURB4e3tDLBbj0aNH6sxDCCGkHGGMITY2ltapIflMmzYN27dvR9++fbF7926+4xCi9VQuCGbPng0TExNMnjwZYrFYnZkIIYSUE0lJSdDT04OpqSnfUUgZM2DAAJw9exbTpk3DmjVr+I5DiFZTeVSXrq4utmzZgnHjxqFWrVqYMmUKmjdvDltb2y8uWubq6qpqk4QQQjRIamoqZDIZ7O3t+Y5Cyqg2bdogMDAQHTt2RFJSEn7++WdawIwQHtBKxWUUTTtKCNFkGRkZSEtLg7OzM33BI1/1+vVrtG/fHh06dMDmzZtV+o5BCFFdqa5UrFAo1JmdEEJIGaRQKJCWlgYnJycqBkihVKtWDcHBwQgODsaAAQOQm5vLdyRCtIrKdwg+fPigUoNubm4qHadt6A4BIYQQbZOUlIQuXbrA3NwcJ0+epFWNCSkltFJxGUUFASGEEG2UkZGBXr16IT09HefPn0eFChX4jkRIuUcFQRlFBQEhRJMoFArEx8fD3t6eugmRYsvNzcXgwYPx6tUrXL58GQ4ODnxHKhFXr17Fhw8fEBcXh4oVK2LQoEF8RyJaSq1rx3/48AEJCQngOA42NjbUPYgQQrQAYwxRUVGwtramYoCohYGBAQ4fPgxfX1+0atUKV69eLXezFI4dOxYHDx7MN3X7lStX8OOPP6JGjRo8JiPaSOVBxXliY2MxdepU2NraolKlSmjatCm+/fZbVKpUCba2tpg2bRpiY2PVkZUQQkgZwxhDTEwMhEIhTExM+I5DyhFdXV3s2rUL3t7eaNmyJcLCwviOpBZisRheXl7Yvn07KlSogO+++w4TJkwAx3HYtWsX9u3bx3dEooWK1WUoODgYPXv2REpKSoHL0nMcB2trawQEBKB58+YqB9U21GWIEKIJ4uPjoaurC2tra76jkHKKMYaZM2di//79uHLlCmrWrMl3JJVlZGTAz88PR48eRc+ePbFp0yblOh3Hjh3DwIEDYWBggGfPnqFSpUo8pyXaROU7BAkJCejevTuSk5NhZmaGmTNn4vLly3j58iVevnyJy5cvY9asWRAKhUhKSkL37t2RkJCgzuyEEEJ4lJaWBsYYFQOkRHEch1WrVmH8+PFo3bo1Hj58yHcklT179gxXr15F3bp1sWfPHtjb20MikQAA+vbti169eoExptwGgKZsJ6VC5TEEa9euRWpqKr755htcvnwZTk5O+R738PBAu3btMGXKFHh7e+PVq1dYt24dVqxYUezQhBBC+GdmZgahUMh3DKIFOI6Dv78/TExM0LZtW5w/f14jex2cPXsWKSkpGDJkCMzMzCCXy6Gvrw+ZTAbGGHJzc9G+fXswxiASiaCjowNTU1O+YxMtoPIdgnPnzoHjOGzbtu2TYuDfHB0dsW3bNjDGcPbsWVWbI4QQUsbo6OjQIGJSqqZPn46ff/4ZnTp1wo0bN/iOU2Q2NjbgOA65ubmQy+XQ0dEBYwy6urqIjY3F27dvERQUhI4dO6JSpUqoU6cO5s+fjzdv3gBAgd2zCSkulQuC8PBwmJiYwNPT86v7enp6wsTEROXFzAghhJQNubm5+WZFIaS0TZgwAevXr4ePjw+CgoL4jlMkNjY2YIzh0KFDuHjxIjIzMyGXy/Hs2TN07twZL1++hLGxMSpXrgxbW1uEh4dj7dq1mDFjBqKiosBxHBUFpESoXBCo8qKkFzEhhGguqVSKmJgY6Onp8R2FaDlfX1/89ttv6NatG65evcp3nEIbOnQohg0bhvT0dIwaNQpt2rTBwIED0apVK7x8+RLDhg3D69evERgYiEePHmHevHmwsbHBpUuXsGXLFshkMrorR0qEygWBm5sbxGIx/v7776/ue+fOHWRlZcHd3V3V5gghhPBILpcjKioKjo6OVBCQMmHkyJH4448/0KNHD/z11198x/kquVwOANizZw+mTp0KFxcXJCQkICkpCSKRCD169MDOnTthZmaGnJwcGBoaYurUqejYsSNycnJw/fp15TkIUTeVC4LOnTuDMYaxY8ciMTGxwP0SEhIwduxYcByHLl26qNocIYQQnigUCkRFRcHOzg4GBgZ8xyFEaejQodi2bRt69+6Nixcv8h3ni3R0dJRf6NetW4dr167h4cOHGDx4MBwcHDBlyhTo6OhAJpPB0NAQjDHY2NjA19cXhoaGCAkJwfv373l+FqS8UnmWoenTp2PHjh14/vw5qlevjgkTJqBdu3ZwcnICx3GIjIzE1atXsWXLFiQnJ8PCwgLTp09XZ3ZCCCElLG/hMUtLSxgbG/Mdh5BPDBo0CDo6Oujbty8OHz4MHx8fviMVSEdHBwAgEAiUM3TFxcUhNjZW2RUo778KhQI6OjpQKBSQy+WwsbGBhYUFL7lJ+adyQWBnZ4eTJ0+iV69eSElJwfLly7F8+fJP9mOMwcLCAgEBAbC1tS1WWEIIIaXP0tKSViEmZVr//v2ho6OD/v3748iRI6VaFDDGwHEcFAoFOI4rdB9/xhgYY4iPjwcAXL9+HW3atFHeJdDV/fgV7cKFC5BKpejZs6dyUDKNIyDqpnKXIQBo3bo1nj59inHjxsHS0lL54s77sbS0xIQJE/Ds2TO0atVKXZkJIYSUEo7jqBggGqFPnz7Ys2cPBgwYgEuXLpVau3ndgAQCgfKLemEmUeE4DgKBAG3btgUALF68GDt37gQAZTGwYsUKLFu2DJaWlujXrx9N9UtKDMfUOPXP+/fvlasR29raomLFiuo6tdZJT0+HUCiESCSCubk533EIIVomNzeXxgsQjXTo0CH4+fkhICAA3t7eJdpWYGAgTpw4oVwnoGnTpujRowfq1atX6HOkpqZi1qxZ2L59OwBg8ODBMDY2xrt373Dt2jUYGhri9OnTJf5ciHZTa0FA1IcKAkIIX7KyspCcnAwXFxe6Gkk00v79+zFhwgScPn0abdq0KZE2Nm7ciKlTp36y3dDQEEuXLkW3bt1QtWrVQp3r8ePH2Lhxo/IOAQDo6emhXr162LZtG+rUqaO23IR8DhUEZRQVBIQQPuTk5CAuLg6urq4QCIrVq5QQXu3ZsweTJ0/GuXPn1N5teefOnfDz84ODgwMWLVqEli1b4tGjRzh58iSOHj0KIyMjdOvWDTNmzEDDhg0Lfd5du3YhIiICubm5qFu3Ltq3bw8rKyu1Zifkc1QeVEwIIaR8kUgkiI2NhYuLCxUDROONGDECMpkMXbt2xYULF+Dp6amW84rFYhw/fhw6OjrYsmULunbtCgDw8PDAwIED4eHhgV27duHo0aNISUnBunXrUKtWrU8GA//7d7lcDh0dHYwaNUotGQkpqkLfIahUqVLxG+M4vH37ttjn0QZ0h4AQUprkcjkiIiLg6OhIYwdIubJlyxbMnDkTly9fRpMmTYp9vnfv3qF+/fpwd3fHgwcPoKurC7lcDsaY8s9//PEHNm7ciNevX6Nz587YvHkzXFxclEVAXgHwb5/bRkhpKfQdgvDw8GI3Rn1RCSGkbBKLxbC3t6digJQ748aNQ25uLjp16oSgoKBi98fPyclBRkYGkpOTERkZiYoVKyq/yOetHeDn5weO47B27Vr89ddfWLVqFX7++WeYmpqCMQYdHR1kZmZizJgxqFmzJubPn0/FAOFVoQsCf39/lRp48OABzp49q9KxhBBCSoeZmRnfEQgpMVOnTkVGRgbat2+Pmzdvolq1aiqfy8XFBQ0bNsT79+/x5s0bVKxYUXl1XyAQgDEGQ0NDDB06FImJidiwYQNOnz6Nli1bon///so7BJs3b8bx48dx+vRpGBsb44cfflDjMyakiFgJefv2LRswYADT0dFhHMcxjuNYz549S6o5JTc3NwYg34+BgQFzd3dnQ4YMYffu3fvscSNGjPjkuM/9jBgxosjH9ejRo8jPQyQSMQBMJBKp8LdACCFfp1AomEKh4DsGIaVCoVCw2bNnM2dnZ/b+/XuVzyOTyVi/fv0Yx3GsS5cuyu1yuTxfW4wxFhERwXr16sU4jmNDhgzJd56HDx+ynj17Mo7j2L59+1TOQ4g6qH1QcUJCAhYvXoxt27ZBJpOBMYYWLVpg5cqVaNasmbqbK1DVqlWVKyOLRCK8efMGBw4cwKFDh7Br1y4MGzbss8fZ2tp+cZqwgq4qfOm4GjVqFDE9IYSUvKSkJOjp6cHCwoLvKISUOI7jsHz5cmRmZsLb2xs3btyAo6Njkc+jo6ODxYsX48qVK7hw4QIWLVoEf39/CAQCKBSKfAuUubi44IcffkBAQAAOHjyIYcOGoWPHjgCA+vXr48cff8Ts2bPx7bffqvW5ElJk6qosMjIy2IIFC5iZmRkTCASM4zhWu3ZtdubMGXU1USh5dwh27dqVb3tKSgrr27cvA8DMzMxYSkpKvsfzrvT/9w7A16h63NfQHQJCSElKSUlh0dHRdIeAaB25XM5GjhzJatSowRISElQ6h0KhYMuXL2c6OjrM3Nyc7dmzJ99j//3ztGnTGMdxbPXq1YwxxqRSaTGeASHqV+x55aRSKX755RdUqlQJS5cuRWZmJlxcXLB79248efJEOR0X3ywtLbFjxw6YmJggIyMDf/31F9+RCCGEF5mZmcjMzISDgwNN9kC0jkAgwLZt21CzZk107NgRIpGoyOfgOA4jR45E//79kZGRAX9/f5w+fVr5GPvPBI42NjYAgLCwMACAri7N+k7KlmIVBPv374eHhwd++OEHJCUlwcrKCmvXrsXr168xfPjwMvdBY25uruzyo45ZkwghRNNkZ2cjKSkJTk5OZe49mpDSoquri/3798Pe3h7du3dHdnZ2kc/h4OCAOXPmoF27dvjw4QOmTJmivNiYVxDIZDIAUE4f/s0336jpGRCiXioVBOfPn0fdunUxYsQIhIeHw8jICPPmzcO7d+/w/fffQ19fX9051UYsFgMAjI2NeU5CCCGlizGGpKQkODs708JjROvp6+vj2LFjkMlkGDhwoPLLe1HUrl0bS5YsQbt27RAZGQkfHx8cPXoUiYmJAAA9PT08fvwY69atg6GhIWrXrq3up0GIWhTpE+Hvv/+Gl5cXunXrhmfPnkFHRwfjx4/H27dvsWTJkjI/bV1YWJhyYbR69erxG4YQQkoZx3Fwdnam7gqE/D9jY2OcPXsW7969g5+fHxQKRZHP0bRpU6xcuRJ9+/aFXC7HiBEjMHDgQMyfPx/+/v7o0qULwsPDMWnSJHh7e5fAsyCk+ApdEPTu3Ruenp64efMmAKB///54+fIlNm3aBDs7uxILqA7p6em4cuUKevbsCZlMBk9PT7Rs2fKz++7ZswccxxX4ExAQUOTjCCGkrKD3JELys7S0xKVLl3D9+nXMnDnzk/7/hdGgQQMcOHAAU6dOhZOTE65fv47ly5djyZIlyMjIwKJFi7B69eoSSE+IehT6MlHeF2GO4+Dj44MaNWrgwIEDRW5wwYIFRT5GFaNGjcKoUaPybRMIBBgwYAD++OOPAo/72rSj1tbWKh1HCCF8YIwhLi4O9vb2VAwQUgBHR0dcvnwZnp6esLGxwaxZs4p8Dj09PWzYsAHTpk3DvXv3EBkZCWdnZ7i7u9O0oqTMK9J947wPk3PnzuHcuXMqNVhaBUHeOgR5H4bv3r2Dnp4eGjduDEtLywKP69y5M3bv3l3k9lQ9riDR0dEAgO+++w5GRkbQ0dGBg4MDJk+e/Nn94+Pjcf78eRgbG8Pc3BwWFhYwNjaGsbExTExM8v3Z0NCQvhgQogUYY4iJiYGpqSn9myfkK6pUqYJLly7By8sLVlZWGDNmjErncXd3h7u7u3rDEVLCCl0QuLq6atQHyty5czFy5Ejl78HBwejZsyemT58OOzs7DB06lL9whZA3+Pm/Rca8efPUcn5TU1OcOXMGXl5en3385MmTyM3NhZWVFSwtLWFjYwN7e3sYGhqqpX1CSMlLTEyEgYEBhEIh31EI0Qj16tXD6dOn0aVLF9jZ2aF79+7FOh9jTKO+OxHtVeiCQNOn6fT09MS2bdvQq1cvfPfdd+jevbtyGrCyKK/7UWRkZKFzMsaQk5MDuVwOmUwGsVgMsViMrKysT/6ckZGBypUrF3guf39/PHv27JPtQqEQDg4OsLe3z/fTsGFDGixFSBmSkpIChUKhXLGdEFI4rVq1wt69ezF48GBcvnwZzZo1U/lcVAwQTaFVU0307NkTTZs2xd9//41169Zh4cKFfEf6KnNz8yIVLuq6EvjkyRNkZmYiJSUFqampSExMRFxcHOLi4hAbG6v885MnTxAbG4sePXoUWBDcunUL169fh7u7O9zc3ODm5gZHR0fo6OioJSshJL/MzEyIxWI4OTnxHYUQjdS7d2/ExMSga9euuH37Njw8PPiOREiJ0qqCAABmz56Nnj174tdff8X06dNhamrKd6QyieM4mJmZwczMDG5ubl/d/0tTtT19+hTr169HcnKycpuuri6cnZ3h5uaGihUrolq1avDw8EC1atVQpUoV6ppESDEYGRnB2NiYrk4SUgyjR4/GgQMH0LRpU7x48QIODg58RyKkxGjdyjTdu3dH9erVkZqa+sXZhkjRfGmRo4kTJyIpKQkZGRn4559/cO7cOfz666/o378/7O3t8fz5c6xcuRJ9+vRB7dq1UaFCBZXmgiaEfKSjo0MLjxFSDH/99Rdq164NxhhatGiBLl26ID09ne9YhJSYQt0hOHbsGPr27avWhqOjoxEREVGsvnmq4DgO06dPh6+vL9atW4cpU6bkuxp94cIFtGjRosDjq1atil27dpVG1HLH1NQUNWvWRM2aNT95jDGGxMREvH79GvHx8QV+mXn9+jUGDhyI2rVro06dOsr/2tnZ0dVQotWkUilyc3PprichxZCQkIAffvgBZ86cwc8//4xx48ZBLpeja9eu6NOnD86dOwd9fX2+YxKidoUqCPr37486derA398fPXv2LNYXr8jISKxcuRI7duzAnDlzSr0gAIChQ4fip59+QkxMDHbu3ImJEycqH0tISEBCQkKBx2ZmZpZGRK3DcRxsbW2/OgBSIBCgYcOGePr0KY4dO6acjalChQr5CoTatWujZs2aMDY2Lo34hPBKLpcjKioKjo6OfEchRCMxxrB7925Mnz4dXl5eePHihXIMjo6ODo4fP47WrVvDz89PuRApIeUJxwqxJN/QoUPx559/AgDs7OwwePBgDBo0CA0aNCjUP4rExEScPn0aBw4cwI0bN6BQKODq6oq9e/eiVatWxX8W5VB6ejqEQiFEIlGZng2JTwqFAu/evcOzZ8/w9OlT5X/fvHmjnOqtatWquHTpEs0JTcothUKByMhI2NjYUAFMiApevXqF8ePH482bN/j9998LnGo0NjYWTZs2xejRo+Hv71/KKQkpWYUqCAAgJCQEP/74I27evKksAkxMTNCgQQPUrVsXNjY2sLKygoGBAVJTU5GSkoJ3797h3r17+PDhA4CPFbi5uTlmz56N77//HgYGBiX3zDQcFQSqE4vFeP78OZ49e4bHjx9j9erVn32tMcbw6NEj1KpVi24BE43EGEN0dHSRZyMjhAC5ublYuXIlVqxYgTFjxmDp0qUwMzP74jH//PMPWrRogd9++w3Dhg0rpaSElLxCFwR57t69iz/++ANHjx5Fdnb2x5MUcJfg36euW7cuxo0bh6FDh1If10KggqDkffjwAe7u7tDX10fdunXRuHFjNG/eHC1atNC4hfiIdoqLi4O+vj6srKz4jkKIRrl16xbGjh0LfX19bN26FU2aNCn0sZcvX0bPnj1x/vx5tG7dugRTElJ6ilwQ5MnIyMD169dx48YN3L17FzExMUhMTEROTg6sra1hY2ODGjVqoFWrVvDy8sI333yj7uzlGhUEJU8ikeDhw4e4f/8+QkJCcO/ePYSGhgIAnJ2d0aJFC+VPrVq1aN0EUqYwxpCVlUUXWAgpotOnT2Pw4MHw9/fHtGnToKenV+RzbN++HTNnzsSdO3dojQJSLqhcEJCSRQUBP5KSknD79m3cvHkTt27dwoMHDyCVSmFubo7mzZtj69atcHFx4TsmIYQQFeXk5CA2NhYVK1Ys1nnmzJmDI0eO4O+//4aNjY2a0hHCDyoIyigqCMoGsViM+/fv49atWwgODsaxY8do4CbhlUQigZ6eHnVpI4RnCoUCgwYNQmRkJK5evQojIyO+IxGiMioIyigqCDRLfHw8fH190a5dO3h7e6NWrVr0hY2oXU5ODuLi4uDq6koLjxFSBmRnZ6Ndu3Zwd3fHgQMH6H2faCz6RCFEDVJSUpCbm4s5c+agTp06sLe3x+DBg7Fjxw7lLFuEFIdUKkVsbCycnZ2pGCCkjDAyMsLJkycRHByM5cuX8x2HEJXRHYIyiu4QaKbs7Gzcvn0bV69exZUrVxASEgLGGKpWrQofHx/4+PigVatWNM0pKRK5XI6IiAg4OjrSdM2ElEFPnjxBy5YtsWvXLvTp04fvOIQUGRUEZRQVBOVDamoqAgMDcenSJZw7dw7R0dEwMzNDx44dcejQIZq5iHwVLTxGiGY4deoUhg4dihs3bqB+/fp8xyGkSKggKKOoICh/GGN48uQJzp07h4iICGzZsoXvSEQDiMViyOXyry6YRAjh34oVK/D777/j3r17cHBw4DsOIYVGBUEZRQWB9nr+/DnCw8Ph7e1N3UMIIUSDMMYwYsQIvH79GoGBgTTzENEYNDKNkDLm8OHD6Nq1K2xtbTFkyBCcPHkSYrGY71iklNG1GkI0D8dx2Lp1KwQCAfz8/OjfMdEYdIegjKI7BNqLMYbnz5/j+PHjOH78OJ49ewZjY2N06dIFffr0gY+PD3UfKefS0tIgk8lQoUIFvqMQQlQQHx+PRo0a4bvvvsP06dP5jkPIV1FBUEZRQUDyvH79GidOnMDx48cREhICAwMDdOjQAX369EH37t1haWnJd0SiRpmZmUhJSYGLiwvNaU6IBgsJCYGXlxdOnDiBDh068B2HkC+igqCMooKAfE54eLiyOLh9+zb09PSwYcMGTJw4ke9oRA2ys7MRHx9PC48RUk7s3bsX06ZNw/3791G5cmW+4xBSoGIXBG/fvsWRI0fw9OlTpKSkQCqVFtwYx+Hq1avFaU5rUEFAviYmJgZHjx6Fp6cnGjVqxHccUkwSiQTR0dFwcXGBrq4u33EIIWry/fff4/Lly/j7779hamrKdxxCPqtYBcGiRYuwdOlSKBSKQg2c4TgOcrlc1ea0ChUERB3CwsJQpUoV6nqiAaKiomBra0uL1hFSzshkMnTs2BEWFhY4duwYvR+TMknly1AHDhzAokWLAACOjo7o2LEjHB0d6coWIWVEdHQ0PDw84OHhgaFDh2Lo0KFwc3PjOxYpgJOTE31RIKQc0tXVxeHDh9G4cWMsX74c8+bN4zsSIZ9Q+Q5B8+bN8ffff6N79+44cuQIXdVSM7pDQIpLJpPhypUr2L9/PwICAiAWi+Ht7Q1fX1/07NmT1jgghJBS9OTJE7Ro0QKHDx9Gly5d+I5DSD4qFwTm5ubIyspCZGQkHB0d1Z1L61FBQNQpKysLR48exY4dO3Dr1i1YWVlh2LBh8PX1Re3atfmOp5UYY0hISECFChWgo6PDdxxCSCk4cOAApkyZggcPHqBixYp8xyFESeWCQCgUQiAQIDU1Vd2ZCKggICUnNDQUO3fuxJ49e5CQkIDGjRvDz88PAwcOpNdaKUpISIBAIKC1BgjRMlOmTEFwcDCCg4NpJWNSZqg8r90333wDsViM3NxcdeYhhJSwb775BqtWrUJUVBROnDgBW1tbTJgwAX379uU7mtZITU2FXC6HtbU131EIIaVs7dq1MDQ0xKRJk2glY1JmqFwQ+Pn5QSqV4ujRo+rMQwgpJXp6eujVqxfOnj2LiIgIrFmzhu9IWiEjIwOZmZmwt7enQcSEaCF9fX0cOXIEZ8+exfbt2/mOQwiAYk472rNnT9y4cQMBAQFo1aqVOnNpPeoyRMqStLQ0WFhY8B1D4+Xk5CA+Ph4uLi608BghWi4wMBBdu3bF9evXaS0ZwjuVC4LFixdDLpdj48aNSEtLg6enJ7799luYmZl98bgFCxaoFFTbUEFAygqxWAwXFxc0btwYkydPRufOnWkQrIry1myhvz9CCACsWrUKv//+Ox48eEDjiQivVC4IBAKB8nZ33ikKc/ubFiYrHCoISFkhkUhw6NAh/PbbbwgJCUHFihUxceJEjB49GlZWVnzHI4QQjcUYQ58+fZCTk4OzZ8/SnUPCG5ULAi8vL5X6vwYGBqrSnNahgoCURffu3cPGjRtx+PBhCAQCDBkyBD/++COqV6/Od7QySy6XIysri/4dE0I+Ky0tDQ0aNMC4ceMwa9YsvuMQLVWsMQSk5FBBQMqyhIQEbN++HRs3bkRsbCy6du2KGTNmoGXLljRQ9l8YY4iMjIS1tTVMTEz4jkMIKaNCQkLQunVrXLp0CS1atOA7DtFCdG+KEFJktra2mDt3LsLDw7Fr1y68f/8erVu3RtOmTXHu3Dm+45UJjDFER0dDKBRSMUAI+aJGjRphxYoVGDhwIBITE/mOQ7QQFQSEEJXp6+tj5MiRePbsGc6dOwcTExM8fPiQ71hlQkJCAoyMjCAUCvmOQgjRAJMnT0bTpk0xfPhwKBQKvuMQLaOWLkMSiQSXL19GSEgIEhISwHEcbGxs0LhxY3h7e0NfX18dWbUKdRkimkqhUGj9wLjk5GRIpVLY29vzHYUQokFEIhEaNGiAMWPGYPbs2XzHIVpEt7gn2Lp1K3766SckJSV99vEKFSpg6dKlGDNmTHGbIoRogIKKAcYYEhISYGdnV8qJSp++vj7NwEQIKTKhUIgjR46gVatW8PT0RMuWLfmORLREsS7jzZo1CxMmTEBiYiIYY3B0dESTJk3QpEkTODo6gjGGxMREjB8/nipdQrRcUFAQXF1dMXHiRERERPAdp0SZmZnR4GpCiEoaNmyIlStXYvDgwUhJSeE7DtESKhcE169fx+rVq5Vz6L548QKRkZG4c+cO7ty5g8jISLx8+RJ9+/YFYwyrV6/GzZs31ZmdEKJBGjZsiIULF+LIkSOoUqUKxo4di/fv3/MdS22kUilo0jZCiDpMmjQJ9evXh5+fH72vkFKhckHw+++/AwB8fX1x9OhRfPPNN5/s4+HhgSNHjsDX1xeMMWzcuFH1pIQQjWZubo45c+YgPDwcy5Ytw6lTp1C1alWMGjUKYWFhfMcrFqlUiqioKFp4kRCiFhzHYefOnbh79y62bt3KdxyiBVQeVOzs7Iy4uDjExMTA1tb2i/vGx8fD0dERDg4OiIqKUimotqFBxaS8E4vF2Lp1K1auXImEhAQMHjwY8+bN++zFhbJMLpcjIiICjo6OMDAw4DsOIaQcCQwMRLdu3XD37l3UrFmT7zikHFP5DkFSUhKEQuFXiwEAsLOzg4WFRYEDjwkh2sfY2BjTpk3Du3fv8MsvvyAoKAg1atTA8OHDNaYrkUKhQFRUFOzs7KgYIISoXZs2bTBt2jQMHDgQ2dnZfMch5ZjKdwhsbGwgEomQnp4OQ0PDL+6bnZ0NoVAIc3NzKgoKie4QEG2Tm5uLHTt2YMmSJUhOTsarV69QsWJFvmMViDGGqKgoWFhYwMzMjO84hJBySiqVolWrVmjQoIGyuzYh6qbyHYI6depALpdj586dX913586dkMlkqFu3rqrNEULKOQMDA0ycOBFv3rzBvn37ynQxAHxcf8XU1JSKAUJIidLT08PBgwdx4MABnDp1iu84pJxSuSAYMmQIGGP48ccfsWPHjgL32759O3788UdwHIdhw4ap2hwhREuYmJhgwIABfMf4KgMDA1haWvIdgxCiBSpWrIg//vgDfn5+iIuL4zsOKYdU7jKkUCjQrl07XL9+HRzHwdnZGW3atIGTkxM4jkNkZCQCAwMRHR0Nxhi8vLxw9epVmpu7kKjLECGfFxISgrp160JPT4+X9hlj9D5GCOHF4MGDkZaWhnPnztH7EFErlQsC4OOX1tGjR+PEiRMfT/afF2feqfv06YMdO3bQF9sioIKAkE9lZWXByckJFSpUwIoVK9CnT59S/VDMzMxEZmYm7O3tS61NQgjJk5qaijp16mDu3LmYMGEC33FIOVKsgiDP/fv3cejQIYSEhCAhIQEAYGtri0aNGmHgwIFo3LhxsYNqGyoICPm8Z8+eYfbs2Th//jxatmyJ9evXo2HDhiXebnZ2NuLj4+Hq6gqBoFiLvBNCiMquXbuG7t2748GDB/Dw8OA7Dikn1FIQEPWjgoCQL/vrr7/www8/4Pnz5xg+fDiWL18OJyenEmlLIpEgOjoaLi4u0NXVLZE2CCGksH788UfcuHEDt2/f5q37JClf6DIXIUQjdejQAY8fP8Yff/yBCxcuoFq1ali0aBHEYrFa25HJZIiOjoaTkxMVA4SQMmHZsmXIzc3FkiVL+I5Cygm6Q1BG0R0CQgpPJBJh2bJl+OWXX2BjY4Off/4ZQ4YMUUvXntjYWFhYWMDIyEgNSQkhRD2ePn2Kpk2b4urVq2jWrBnfcYiGK1RBsHfvXgCAUChEjx498m0rquHDh6t0nLahgoCQonv37h1mzpyJ48ePo1GjRjhy5Eix1zOgWYUIIWXVqlWrsH37djx+/BjGxsZ8xyEarFAFgUAgAMdx8PDwwIsXL/JtK1JjHAeZTKZaUi1DBQEhqrtx4wbWrFmDP//8EyYmJnzHIYSQEiGXy9GyZUs0adIEGzZs4DsO0WCFKgjc3d3BcRwqV66MK1eu5NtWVO/fvy96Si1EBQEh/ElKSoK5uTn09fX5jkIIIV/0+vVrNGjQAOfOnUPr1q35jkM0FI0hKKOoICCEH6mpqcjJyYG9vT11FSKEaIRffvkFv/zyC54+fQpTU1O+46gFddcsXTTLECFEqygUCqxcuRIpKSmfPJaRkaFceIw+iAghmmLKlClwdXXFzJkz+Y6ikujoaFy4cAF37tzBP//8A+DTxW5JyVK5IIiIiEB0dHSh94+JiUFERISqzRFCiFqEhoZi+fLl8PDwwM6dO6FQKAB8XHgsJSUFTk5O9EFECNEoAoEAO3fuxL59+5RduzWBRCLBzJkzUatWLfj4+MDT0xNeXl6YMWMGnj17BuDjnQJS8lTuMiQQCODg4FDooqBixYqIjIykQcWFRF2GCCk5sbGxmDFjBg4cOIDmzZtj8+bNMDU1haurK3R0dPiORwghKtm8eTOWL1+Of/75p8x/d3j48CEmTZqEu3fvolKlSujcuTNycnJw/vx5xMbGokqVKjhx4gRq1qxJF2lKQbG6DBW1lqAqjxBSFjg4OGD//v0IDAxEamoqGjVqhIMHD9IFC0KIRhs3bhyqVq2K2bNn8x3lq/bv34+7d++if//+uHbtGn777Tds27YNQUFBaNSoEd68eYNZs2bhxo0bfEfVCsW6Q2Bvb4+YmJhC7e/g4ICUlBTk5uaq0pzWoTsEhJSO3NxcLF++XNmNaMeOHfj222/5jkUIISp59+4d6tSpg/Pnz6NVq1Z8x/msFy9eoFatWhAKhXjz5g2sra0hk8kgEAggEAjw8OFDNG7cGADQv39/rFy5Eq6urjTQuASVyqDimJgYJCYmwtraujSaI4SQr2KMIT09HQYGBli0aBEePHgAIyMjNGvWDD/88AOysrL4jkgIIUVWqVIlLFmyBH5+fsjOzuY7zmeFhoZCV1cXderUgYmJCWQyGXR1dSEQCMAYQ4MGDTBw4EAwxhAUFITdu3cDoIHGJUm3sDveuHEDQUFB+bZlZmZi8eLFBR7DGENaWhrOnz8PxhhddSOElAmMMcTExOSbnq9OnTq4c+cOfvnlF8yfPx8BAQHYtm0b2rVrx2NSQggpuqlTp+Lw4cNYuHAhVq5cyXccpbwr/Hp6epDJZHj16hUYY9DV1VU+plAooKOjg86dO+PPP/9EfHw8AgIC4OPjg4YNG9JdghJS6IIgMDAQixYtyvc/ISsrC4sWLfrqsYwxGBoaYs6cOaqlJIQQNUpISIChoSGEQmG+7bq6uvjxxx/Ro0cPjBkzBkeOHKGCgBCicXR0dLBjxw40btwY/fr1Q6NGjfiOBOB/V/irVasGDw8PvHr1Crt27cLEiROhUCiUdwiAj3cRAKBGjRr4559/cP78eTRo0ICKgRJS6ILA3d093wp4169fh56eHpo1a1bgMQKBAObm5qhVqxZGjBiBKlWqFC8tIYQUU0pKChhjX+zCWKVKFVy9ehUSiaQUkxFCiPrUrFkTs2fPhq+vL+7fv1+mVl63tLREq1at8OrVK6xZswYdO3ZE5cqVAXy8MJOQkICLFy+iUqVK6NixI0JDQ/HgwQMkJSXBxsaG5/TlU6kNKi4J58+fx7p16/Dw4UPk5ubCw8MDo0aNwqRJkyAQFH54RGGrzd27d2PEiBH5fh81atQXj7lw4QI6depU6Cx5aFAxIeqXnp6O9PR0WmuAEKIVJBIJGjVqhP79+2P+/Pl8x8nnwoULWLRoEe7du4dmzZph5MiR6NSpE65cuYK1a9fixYsXOHbsGKpWrYpGjRrByMgIYWFhsLGxoW5DJaDQdwj+a9euXTAyMlJnliJZsWKFsgtSpUqVYGpqiidPnmDq1Km4cuUKTp48WeiiwNPTs8DHUlNT8eLFCwBA06ZNP7uPra0tqlat+tnHLC0tC5WBEFLyOI6Do6NjsT9I5HI5rVdACCnz9PX1sX37dnh5eaF///6oVq2a2tsIDg7G+/fvYW1tDQ8PD1SqVAkAlF2A/ivvy3zbtm2hUCgwbNgw3LlzB3fu3IGJiYlyQofx48fD29sb5ubmaNy4MW7fvo0bN26gT58+VAyUBKaBbt++zTiOYwKBgB08eFC5/fHjx8zOzo4BYKtXr1ZLW/PmzWMAWJMmTT55bNeuXQwAGzFihFra+jeRSMQAMJFIpPZzE0JUp1AoWKdOndj06dNZTk4O33EIIeSrJk+ezNq2bcsUCoXazvn8+XPWvn17xnGc8qdy5cps+vTpLCsrq9DnuXnzJps1axarXbs2a9OmDevfvz+7efOm8nGpVMp69OjB9PT02N9//622/CS/Upl2VN2WLl0Kxhj8/PwwaNAg5fa6deti3bp1AD7eQZBKpcVqhzGGAwcOAACGDRtWrHMRQvghk8mgUCjUdj7GGNq2bYtff/0VjRs3xpMnT9R2bkIIKQnLli1DaGgo9u/fX6zzsP/vZX7jxg106NABV65cQevWrbF48WK0a9cOKSkpWLt2LUaPHo3Xr18X6pwtWrTAihUr8PTpUxw/fhyHDx9GixYtoFAoIJVKoauri6SkJMhkMhgYGBQrPymYymMI8uTm5uL48eO4desWoqKikJWVVeCKxBzH4erVq8VpDunp6bCxsYFEIsHdu3fRpEmTfI9LpVJUqFAB6enpuHTpEjp06KByWzdu3EDr1q2hp6eHmJgYVKhQId/jeWMIRowYoZwjV11oDAEhxSeXyxEREQEnJye1D6h7+vQphg4ditDQUCxZsgTTp0+nbkSEkDLrxIkTGDduHEJDQ4u9LtSoUaOwZ88e+Pv7w9/fH8DH7y13795Ft27dIJFIMGLECMydOxdVq1YtsPvQf7H/706Um5ur/PIfEhKCli1bwsnJCS9evChTg6PLleLcXggODmbOzs5MIBAou/Dk/fnfv//78eIKCgpiAJihoSGTSqWf3addu3YMAFu8eHGx2hozZgwDwLp16/bZx/O6DNWrV48NGjSItWnThvXo0YMtXLiQvXnzplhtU5chQopHLpez8PDwIt26LqqcnBw2c+ZMxnEca9GiBXv79m2JtUUIIcWhUChYt27d2KhRo4p1nufPnzMzMzNWsWJFlpaWxhj72K0nrzvSjh07mIODAzM2NmY//PBDvvaL6t69e6xu3brM0NCQHT58uFi5yZep3GUoMjISPj4+iI6ORu3atTFz5kwwxmBiYoL58+fDz88PFStWVE7vN3/+fCxYsKDYBUxYWBgAwNXVFbq6nx8TnTegJW9fVeTm5uLo0aMAvt5d6PHjx/jzzz8RGBiIU6dOYeHChfDw8MCyZctUbp8Qojr2/wuPWVpawtjYuMTaMTAwwMqVK3H9+nVERUWhXr16OHToUIm1RwghquI4Dhs3bsTRo0c/WWi2KORyOTIzM2FmZgaZTAYAyoXFAGD48OEYNWoUBAIB/vzzTwQEBABAgb1H/k0qlSIqKgqPHz/GtGnT0K1bNzx9+hRDhgxBmzZtCnUOohqVC4J169ZBJBKhc+fOePToEVasWAEAMDU1xeLFi7F161a8efMGv//+O1JTU/HkyRPlbaXiSE1NBfDl2XvyHsvbVxVnzpxBWloahEIhunXr9tl9LCwsMGXKFAQHByM+Ph45OTl49OgRhg0bBrlcjvnz52Pjxo0qZyCEqCY+Ph7Gxsal1t2uZcuWePLkCXx8fDBo0CCMHTsWYrG4VNomhJDCcnV1xaJFizB+/Hjk5uaqdI7U1FQYGxtDV1cXCoVC+SVdIBBAoVBAV1cXQ4cOhbe3N+Li4rBt2zZkZmbmW3QM+HyBEBMTg1WrVqFBgwb49ddfIZfL8euvv2L79u2wsbGh2YVKkMoFwV9//QWO4z5Zvfi/JkyYgEWLFuHs2bPYtm2bqs0p5eTkAMAX+5Dl9TvLzs5WuZ28gTf9+vWDoaHhZ/fp2bMnfv31VzRv3hy2trYwMDBAvXr1sHfvXkybNg0AMH/+fGRkZKicgxBSNDKZDLq6urCysirVds3NzXHw4EFs27YN+/fvR5MmTZRTFhNCSFkxdepUGBkZYe3atSodX6tWLQgEAjx69AgvXrwAx3GQy+UAoBwnUL16dfTq1QuOjo74+++/lXcJ/v198d9/zpv4wdXVFW3btsX48eOxfv16vHv3DpMnT1YpJykalQuCiIgICAQCNGjQIN/2z63sOWnSJHAcp5aBt3lfzr+0gmhe1avqOgnJyck4f/48gI+3vlSxaNEiGBgYQCQS4dq1ayqdA/jfQkpF+VG16iekPNDV1f1kAoDSwnEc/Pz8cP/+fTDGVP7AJYSQkqKrq4vff/8dy5Ytw4cPH4p8vJWVlbIr9fr16wEg34QKeVf+27dvj6ZNmyItLQ03b96ESCTKd567d+9i2bJlkEqlEAgEkMvl4DgOXbt2xbp16/Ddd9/BzMxM1adJikjlgoAxBjMzs3yjxk1MTJCenv7JbSChUAihUIjQ0FDVk/6/wnQHKky3oi85fPgwpFIp3N3d0aJFC5XOYW5ujpo1awIA3rx5o9I5AMDFxUX591fYn59//lnl9gjRVGWpb2nNmjVx//59/PLLL3xHIYSQTzRv3hwDBgzA999/r9Lx3t7esLCwwNWrV3Hp0iUAUN4lyLvy7+DgAG9vbzDG8OTJE+WCYwBw+/ZtDB06FMuWLcOePXsA/O/ugq6uboE9M0jJUbkgcHJygkgkync12tnZGXK5HC9fvsy3r1gsRlpamlr61OatCBwREaEczPJf7969y7dvUeV1Fxo6dGix+qvp6ekBQIE5CyMyMhIikahIP3krOBOiLXJychATE8N3jHyMjY1hamrKdwxCCPmsFStWIDAwEBcuXCjysa1bt4aXlxeysrKwadMmSKVS6OjoKC/M5P23f//+MDU1xb179/K9R7u4uKB58+bIycnBzp07kZWVReMDeKZyQZD3ZTs8PFy57dtvvwUAbN68Od++69atA2MM7u7uqjanVL9+fejp6SEnJwcPHz785HGpVIr79+/ny1MUb9++xZ07dwB8LAhUJZfL8erVKwAfCyVVmZubF/mHFu4g2kQikSA2NhZ2dnZ8RyGEEI1ha2uLZcuWYcqUKcrxmYVlZWWFgQMHwt7eHufPn8f27dsB/K8QyBtXYGVlhU6dOgFAvl4iLi4u6Nq1K2bMmIGAgACYmJio6VkRValcEHTu3BmMMZw5c0a5zc/PD4wx/P777+jSpQvmzZuHrl27wt/fHxzH5VtVWFXm5ubw9vYGAOzYseOTx48ePYr09HRYW1vDy8uryOfft28fAKBJkybw8PBQOeeOHTuQlpYGHR0dlXIQQr5OLpcjOjoaTk5OBU5DXNYwxrBp0yaahYgQwrtx48bB3Nwca9asKfKx3bp1Q+/evSGXy7Fo0SK8f/9e2e1HJpNBR0cH2dnZygvHbm5uAP43gLhPnz5YuXIlbG1t1fNkSPGouoBBREQE8/LyYlOmTMm3PW+RnryFyPL+3Lp1a5abm6tqc/ncunVLef6DBw8qtz9+/JjZ2dkxAGzlypX5jlm/fj1zc3NjAwYM+OK5q1SpwgCw33777Yv7iUQiNnDgQHb37t1822UyGdu6dSszNDRkANjYsWOL+Oz+d37QwmSEFChv4TGxWMx3lCJ5/vw5MzIyYnXr1qWFzAghvLtz5w4zNjZm79+/L/KxL168YO3bt2ccx7EOHTqw169f53v83bt3zNbWllWsWJG9efNGpcXJSOko1krFBbl8+TLz9fVlHTp0YP369WM7duwocFVhVS1dupQBYABYpUqVWJ06dZhAIGAAmI+PD5PJZPn29/f3ZwBY69atCzzn7du3GQCmp6fHEhMTv9h+amqqsn0LCwtWv3591rhxY2ZhYaHc3rlzZ5adna3S86OCgJAvi4+PZ+np6XzHUMnjx49ZpUqVmKWlJbtw4QLfcQghWm706NGsV69eKh374MEDZmFhwTiOY82aNWNbt25lb9++ZQcPHmS1a9dmHMexxYsXqzkxUbcSKQhKy5kzZ1jbtm2ZUChkxsbGrG7dumzDhg2fFAOMFa4gmDBhAgPAunXr9tW2JRIJW7VqFevZsyerUqUKMzc3Z3p6esze3p75+Piww4cPF6sSpoKAkC/T9CtNKSkprHPnzozjOLZ06VIml8v5jkQI0VJxcXHM3NycXb16VaXjAwICWJs2bZS9QkxMTJR/Hj9+PEtNTVVvYKJ2HGNlaK4+opSeng6hUAiRSFRqq60SQkqXQqHAokWLsHjxYvTo0QN79uyBUCjkOxYhRAutWbMGe/fuxcOHD1Uak5WWloZ9+/bhzp07yM7OhqmpKSZMmIDmzZuXQFqiblQQlFFUEBDyqbS0NBgYGKi86GBZdebMGQwbNgx2dnY4efIkatSowXckQoiWkUgkqFWrFqZNm4aJEycW61xisRjGxsZqSkZKQ6EKgr179wL4uMBYjx498m0rKlVX/tU2VBAQkl9mZiZSU1Ph7OxcLuerDgsLQ+/evfH+/XscPHgQ3bt35zsSIURLyOVynDlzBosWLcKrV68QFRUFKyurIp+HMVYu35+1QaEKAoFAAI7j4OHhgRcvXuTbVqTGOK5Yi3RpEyoICPmf7OxsxMfHw9XVNd/q6OVNVlYWhg8fjpMnT2LVqlX48ccf6cOVEFJi4uLisGPHDmzevBlSqRQjR47E33//jbp169JK61qmUAWBu7s7OI5D5cqVceXKlXzbiur9+/dFT6mFqCAg5COJRILo6Gi4urpCR0eH7zglTqFQYP78+fjzzz/x+PFjGlNACFErxhiuXr2Kbdu2ISAgAK1bt8a4cePQvXt36Onp4eXLl2jQoAEePHhA3Re1CI0hKKOoICDk423siIgIODk5QV9fn+84pSo9PZ3+7RNC1CY5ORlbt27F9u3bkZqaCl9fX4wbNw5VqlT5ZN9p06YhNDQUFy9e5CEp4QMVBGUUFQSEfLySJZPJoKenx3cUQgjROIwxBAcH47fffsOpU6dQr149TJo0Cf369YOhoWGBx6WkpKBy5co4dOgQOnbsWIqJCV/Kb2dcQojG4ziOigFCCFHRtm3b0KVLF1haWuL+/fv4+++/MWzYsC8WAwBgZWWFn376CTNmzIBcLi+ltIRPKhcE1apVw9KlSxEeHq7GOIQQbccYQ3p6Ot8xyqy3b9/yHYEQUkbJZDKkpKQofx80aBBiY2OxefNm1K5du0jnmjRpEjIzM7Fnzx51xyRlkMoFwZs3b+Dv74/KlSvDy8sLO3bsoA9xQkixJSYmQiKR8B2jTPrw4QNq1aqFH374AQqFgu84hJAygDGGrKwsREZGIiYmBnp6esjrDW5mZgYTExOVzmtgYIAVK1Zg/vz5yMrKUmdkUgapXBDMmzcP7u7uYIzhxo0bGDt2LOzt7TFo0CCcP3+ePqwIIUWWkpIChUKBChUq8B2lTHJzc8Pq1auxYcMGDB06FLm5uXxHIoTwhDGG5ORkhIeHIzMzE3Z2dnB1dYWZmZnapivu168fXF1dsXbtWrWcj5RdxR5UHBwcjL179+Lo0aNIS0tTvghtbGwwePBgDBs2DPXr11dLWG1Cg4qJtklPT0d6ejqcnJxo7v2vOH78OIYMGQJPT0+cPHmS3iMI0VJZWVkwNjYu0ffM4OBgdOzYEWFhYXBwcCixdgi/1DbLkEQiwdmzZ7F3715cuHABUqlU+QKtXr06RowYgSFDhsDR0VEdzZV7VBAQbSIWi5GYmAgXF5dyvfCYOt24cQPdu3eHu7s7Lly4QB/UhJRjCoUCaWlpyMrK4mW19r59+8LKygpbt24t1XZJ6SmRaUdTUlJw6NAh7Nu3D3fv3v3YEMdBR0eH+gYXEhUERJtkZmbCyMhIKxYeU6d//vkHnTp1gq6uLi5dugQPDw++IxFC1CgnJwcpKSmQSqUQCoUwNzfn5aJJWFgY6tSpg8ePH9P7TDlV4usQvHz5EiNGjEBISAg4jqPpqwqJCgJCSGFERkaiU6dOiI+Px9mzZ9G0aVO+IxFCiokxhsjISOjq6sLKyuqr04SWhvHjxyM5ORlHjx7lOwopASVWENy7dw/79u3D4cOHkZycDMYYFQRFQAUBKe/y3gvorkDxpaamokePHggJCcGRI0fQtWtXviMRQopIJpNBV1dX+Xve96ayIiYmBlWrVkVQUBAaN27MdxyiZmq97/ThwwcsW7YM33zzDZo1a4ZNmzYhKSkJenp66N27N06ePKnO5gghGkqhUCAqKopmyVETS0tL/PXXX+jcuTN69OiB3bt38x2JEFIIjDGIRCJ8+PABCQkJ+Pc12rJUDACAo6Mjpk6dijlz5vAdhZQA3a/v8mXp6ek4cuQI9u3bh+DgYDDGlC/oZs2aYfjw4RgwYAAsLCyK2xQhpBxgjCEmJgaWlpYwNjbmO065YWhoiCNHjmDSpEnIyMjgOw4h5AskEglSU1MhFothbm4OZ2dnjbhbOmvWLFSqVAlXrlyBt7c333GIGqncZejs2bPYt28fzpw5g9zcXGURULFiRQwdOhTDhw9H5cqV1RpWm1CXIVJexcXFQV9fH1ZWVnxHKZfKWjcDQkh+jDHExcXB3Ny8xKcMLQmrVq3CkSNHcP/+fY3LTgqmckEgEAjAcRwYYxAKhejXrx+GDx+OFi1aqDujVqKCgJRHycnJkMlksLOz4zsKIYSUCqlUioyMjHJzEUQsFqNq1arYsGED+vXrx3ccoiYqdxnS0dFBp06dMHz4cHTv3h0GBgbqzEUIKWcUCgVkMhlsbW35jkIIISWKMYasrCykpqaCMQZLS8tyc/fO2NgY/v7+WLBgAXr37q0RXZ3I16l8hyAxMRE2NjbqzkP+H90hIISoU3Z2NgwMDGjhN0JKEGMMycnJyMjIgImJCSwtLaGnp8d3LLWTSqXw8PDA4sWLMXToUL7jEDVQ+ZOBigFCSGGU8FInpBAYY+jduzdGjhwJmUzGdxxCyi2O42BkZAR3d3fY2tqWy2IAAPT09PDTTz9h0aJF9J5STqjlUtHTp0+xevVqTJ48Gb6+vvkek0qliImJQWxsrDqaIoRoEKlUisjISCoKeMZxHEaMGIGDBw9i0KBBtGI8IWogl8uRkpKCqKiofO9xJiYm5aJr0NcMGzYMALBv3z6ekxB1KNbCZCKRCKNHj0ZAQAAAfHbxMbFYDDc3N6SmpuL169eoVKlSsUNrA+oyRDSdXC5HREQEHB0daYxRGXHq1Cn0798fXbt2xaFDh8rt1UtCSlJ2djZSU1MhlUohFAphbm6utV3x9u/fj59++gmvXr2Cvr4+33FIMaj8CpbJZOjSpQsCAgJgbGwMHx+fzy6tbWxsjNGjR0OhUCgLB0JI+Za38Ji9vT0VA2VIjx49cOzYMZw5cwZDhw6lW/2EFAFjDBEREUhLS4OVlRXc3NxgYWGhtcUAAAwaNAiGhoa0GGI5oPKreMeOHbhz5w4qVaqEV69e4fTp0xAKhZ/dt0+fPgCACxcuqNocIURDMMYQHR0NKysrGBkZ8R2H/Ee3bt1w+PBhHD9+HCNGjMh3R5cQkt+/i2aO4+Di4gIHB4fPXgDVRjo6Oli4cCGWLl1KK89rOJULgoMHD4LjOKxfvx6Ojo5f3Ld+/foQCAR48eKFqs0RQjREamoqTE1NYWZmxncUUoBevXrhzz//xOHDh+Hr6wuFQsF3JELKDIVCAZFIhA8fPiAxMTHf+ABtGBtQVP369YNQKMSOHTv4jkKKQeV1CJ49ewaO49ChQ4ev7qunpwehUIjk5GRVmyOEaAhLS0v60NQA/fr1g0wmw9ChQ6Grq4utW7dqddcHQiQSCVJTUyEWi2Fubg5nZ2eaY78QBAIBfvrpJ0yfPh1+fn40lkBDqfzun5WVBTMzs0L/j5dIJNDVVbn+IIRoCCoGNMegQYOwe/du7Ny5E5MmTaLZoIjWyls/wNTUFO7u7rC2tqZioAj69OkDY2Nj7N27l+8oREUqFwQVKlRAeno6srKyvrpvWFgYsrKy4ODgoGpzhJAyLDMzExkZGXzHICoYNmwYtm/fjs2bN2PFihV8xyGkVEilUqSkpCh/5zgODg4OWjNlqLrp6Ohg3rx5+Pnnn2myAg2lckHQuHFjAMC5c+e+uu/69esBAJ6enqo2Rwgpo7Kzs5GUlAQTExO+oxAVjR49GocOHcLo0aP5jkJIiWGMITMzE5GRkYiLi6OuLWo2aNAgcByHgwcP8h2FqEDlgmDkyJFgjGHBggWIi4srcL/Vq1dj8+bN4DiOPmwIKWckEgni4uLg7OxM/c813IABA2BnZ8d3DELUjjGGpKQkhIeHQywWw97eHi4uLjA1NeU7Wrmiq6uLOXPmYPny5TR7mQZS+RO8Z8+e8PHxwevXr9GoUSPMnj0bOTk5AICjR49iwYIFqF69OmbPng0AGDhwIFq1aqWe1IQQ3slkMkRHR8PJyYnGBxFCyiyO42BkZAR3d3fY2trSgnwlaNiwYcjOzsaxY8f4jkKKqFgrFWdlZWHo0KE4derUZ/vc5Z26V69eOHDgAM3bWwS0UjEpyxhj+PDhA+zt7enfNSGkzJDL5UhLS0N2djacnZ35jqOV/vjjD2zatAlPnjyhO8capFj/p0xMTHDy5EmcOXMG3bt3h7W1NRhjYIzB3NxcuZLx8ePH6UsDIeUIx3FwcnKif9daIDMzk+8IhHxVdnY2oqOjERUVBV1d3a+uj0RKzqhRo5CUlFSoMaak7CjWHYLPkclkkMvlMDAwUOdptQ7dISCE8C0oKAj9+/fHxYsX0aBBA77jEPIJxhgiIiKgr68PKysr+u5RRqxcuRJnzpzBrVu3+I5SKjIzM7Fp0yZERERg3rx5GjmrptoLAqIeVBCQsig9PR1mZmY0LZ+WyMzMRLt27fD+/XvcunUL1apV4zsSIZDJZPnGLTHG6D2pjBGJRHB1dcX58+fL9QyTN27cwMaNG3HixAkoFAo4ODjg0qVLqFWrFt/RiowKgjKKCgJS1qSmpiInJ0cjr3wQ1SUlJaFly5bIzs5GcHAwnJyc+I5EtJBCoUB6ejpEIhH09fXpfUgDzJo1Cy9fvsTp06f5jqJWiYmJ2LFjBzZv3oyIiAgAQN26ddG9e3d06dIF3377Lc8JVVOoguDGjRtqa5BmGiocKghIWZKRkYG0tDQ4OzvTlTgtFBkZCU9PTwiFQty6dQtCoZDvSERLSCQSpKSkIDs7G0KhEEKhkFYQ1hCxsbGoWLEiHjx4gJo1a/IdRy2Cg4PRoUMHZGdnw9LSEj4+PvDx8UHHjh1hYWHBd7xiKVRBIBAI1PIlgOM4WsGukKggIGWFWCxGYmIiXFxcaMYILfby5Us0a9YM3377Lc6ePUtTN5ISxxhDXFwchEIhjIyM6GKEBhozZgykUil2797NdxS1CA0NxXfffYfAwEAsXboUM2fOzPe4XC5X23fm0lboT/e82YOK86NQKEryuRBC1Cw3Nxfx8fG08BhB9erVceLECVy7dg1TpkwB9TYl6iaVSpGSkqL8neM4ODg4wNjYWCO/YBFgxowZOHToECIjI/mOohYVK1ZEu3btIJPJ8Pr1a0ilUuVjEokEEokk32tVk94nC/UJr1AoPvtz6tQpWFhYoHLlytiyZQvCwsKQnZ2NnJwcvHnzBlu2bEHVqlVhYWGB06dPU0FAiIaRy+VwdnamW/QEANC2bVts2bIFW7Zswdq1a/mOQ8oBxhgyMjIQERGBuLg46Ovr8x2JqFG1atXQtWtXbNiwge8oX/Xq1SssWbIEEydOxK+//oorV658so+BgQE8PT3h5uaG69ev48mTJ4iOjsbKlSsxfPhwDBs2DJ07d8bq1asRGRmpWYUsU9GDBw+YoaEha926NROLxQXul52dzVq3bs0MDQ3Zo0ePVG1O64hEIgaAiUQivqMQQkg+c+fOZQDYsWPH+I5CNJRCoWAJCQns3bt3LCEhgUkkEr4jkRJy+/ZtZmZmVua+zygUCsYYY48ePWIDBgxgHMfl+9HT02MLFixgUVFRjDGmfI0mJiay0aNHM4FAwLp3787q1KmjPMbU1FT555o1a7JLly7x9vyKSuVZhvr374/jx4/j+fPn+Oabb76478uXL1GzZk30798fhw4dUqU5rUNjCAhfGGOQy+X5pvUj5N8UCgUGDx6MU6dOISgoSGNn1SD8ysrKou5AWqJZs2YYMGAApk2bxneUfKRSKYYPH47Dhw+jfv36GDVqFDw9PXH16lVs3LgRERERGDBgAP788898xx08eBAjRoyAXC6Ho6Mjxo4di759+yIxMREPHjzA4cOHcf/+fdSrVw9bt25Fo0aNeHqGhadyQeDo6Ijs7GykpqYWan9LS0sYGRkhJiZGlea0DhUEhA+MMURHR0MoFMLMzIzvOKQMy8nJQceOHTFq1CiMHDmS7zikDJPL5UhLS0N2djacnZ35jkN4cOTIEcyaNQthYWFl6mLTihUrMHfuXLRq1QpXrlxRZlMoFHj06BEaN24MANiyZQuGDRsGQ0NDAMCLFy8wc+ZMWFlZYe3atbCxscl33sjISDRs2BBJSUmYPn065s+fX+a/y6k8SjBvTvLCjAtQKBTIyckpdPFACOFHQkICjIyMqBggX2VoaIhr165RMUAKJBaLER0djaioKOjq6tIaFlqsd+/eUCgUCAgI4DuKklgsxsWLF6Gjo4PevXtDV1cXcrlc+b22YcOGGDt2LABg9+7duH37tvJYNzc3TJs2DQsXLoSNjY1y8hzg4+BiFxcX/PjjjwCA69evIywsrJSfXdGpXBA4OTlBIpEU6n9uQEAAcnNz6c2AkDIsOTkZjDFYW1vzHYVoCBpsTj6HMYYPHz5AJBKhQoUKcHNzg1AopK5BWkxXVxdTp07F+vXr+Y6iZGxsjOjoaMjlclStWlW5XSAQKL/cDxs2DADw9OlTnDp1SrmPiYkJvL29UalSJQAfZ8TKe33nTcncs2dPGBkZ4fXr1xpxQVzlgqBXr15gjGHs2LEICgoqcL8bN25g7Nix4DgOvXr1UrU5QkgJSk9PR3Z2Nuzs7PiOQgjRQP+efpHjOLi6usLBwQEGBgY8piJliZ+fH54+fYq7d++WaDtyubxQ+6WlpaF27doA/rcAb96X+ryLHa6urrCyskJWVhZu3ryJx48fA4DyLsLnet1zHAeFQgEPDw+4urpCJBIhMzOzwP3LCpU7cs2bNw9Hjx5FREQE2rVrB09PT7Rt2xZOTk7gOA5RUVEIDAzErVu3wBiDq6sr5s2bp87shBA1YIxBLBYr/+0SQkhhKBQKpKenIy0tDYaGhrC3t1c+Ru8l5L+EQiH8/Pywbt06HD58WG3njYyMxLVr16Cvr4/69et/daKbPPr6+qhSpQoA4MKFC5g/fz5MTEyU3Yb09PRw69YtpKWlwcTEBGFhYQgODka9evWUr+/Pvc4VCgUEAgHCwsLAcRz09PSUi/KW5X8XKhcEFhYWCAoKQr9+/fDgwQPcunULwcHB+fbJq4QaNGiAo0ePavyyzoSURxzH5fsgJ6Q4MjIyEBsbi2rVqvEdhZSQ3Nxc5ThCc3NzuLi4UPcxUihTp07FN998g+joaJW7kTPGwHEcHjx4gOXLl+PkyZPKx3R1dTFp0iT4+fmhZs2akMvlBb42jY2N0aJFC5w6dQpPnz7Fb7/9hmnTpsHQ0BA6OjpISkrC/v37oauriy5duuDYsWN4/vw5srOzYWRkpMwCfPwczVulOG8RzzNnziA0NBRVqlSBj4+PSs+1NKk8y1AehUKB48eP49ChQwgJCUFCQgIAwNbWFo0aNcKAAQPQp08ferMoIppliJS0vDdVQtRp8ODBuHPnDkJCQmg8SjnEGENcXByEQiGMjIzoPYQUWffu3VG3bl0sWbJE5XNER0dj6NChuH79Oho2bIj27dtDJpPhjz/+QFZWFurUqYObN28WOEFG3udfWloa/vjjD8ybNw9mZmZo3Lgxhg0bhidPnuD48eOIjIzEnj17kJGRgcmTJ6N3797YsWMHhEJhgdlSUlKwf/9+LF68GACwZs0ajBw5UnnnoKwqdkFASgYVBKQkyeVyREVFwdXVlT7QiVpFRESgYcOGqFu3Li5evFimphgkRSeRSJCZmQkrKyu+o5By4q+//sKwYcMQERGh0hgThUKBefPmYeXKlRg3bhw2btyovOgcHByMSZMm4enTp5gyZQpmzZoFR0fHr14AGzlyJE6cOKHs6w98vNswefJkrFu3Djdv3kTr1q3h4eGBly9f5jv28OHD0NfXh46ODi5evIjg4GA8e/YMRkZGWLBgAaZNm6YRY2nonZoQLaNQKBAVFQUbGxsqBojaubq64ujRo/D29sbs2bOxZs0aviORImKMITMzE6mpqeA4jooBolbe3t6wsLDAsWPHMGTIkCIfn5ubq+wmNHjwYOjo6CA3Nxd6enrw9PTEwoULlYuJVatWDZMmTSrwsy7vqv3u3bsxduxYhIaG4p9//kHNmjXRu3dvWFpaAvi49paxsTEYY0hMTMy37sCzZ8+wfPly5e8mJiYYMmQIvv/+ezRo0KDIz48vVBAQokXyFh6zsrKCsbEx33FIOeXl5YV169bhu+++Q4MGDTB48GC+I5FCYIwhKSkJmZmZMDU1haOjI93hIWonEAgwadIkbNy4UaWCIDw8HDk5OahcubJybOq/r8B37doVQ4YMwd69e3H48GH06NEDzs7On71L8O8uPM2bN0fz5s3zPS6RSKCvr4979+5BLBajTp06sLGxydf9Z8KECUhJSYGFhQUaNGiALl26aOTna9ntzEQIUbu4uDiYmprSwmOkxE2ZMgXDhw+Hr68vnjx5wnccUggcx8HY2Bju7u6wsbGhYoCUmBEjRuDZs2cICQkp8rG6urqIiIhAcnIybG1t8z3GGIOuri769OmDSpUqISQkBOfPn1c+9jV504nm5uZCJpNBX18fwMcBwgDQtm1bAPkLCScnJ6xduxbLly9H3759NbIYAKggIERrZGRkQEdHR3kLlJCSxHEcNm/ejG+++Qb9+vVDRkYG35HIv8hkMiQlJSEqKirfdhMTE+pKSEqcUCjEiBEjsHHjxiIfW7FiRVStWhVpaWnKiw3/XXugadOmaNGiBXJycnDhwgUwxgo1oDdvHwMDA+jq6kIikeC3337DyZMnUalSpQLX08qbdUiTUUFAiJYwNTXN1++RkJJmZGSEI0eOIDY2FuPHjy/Ti/Jog7w1R6KiohAdHQ19fX2Vp34kpLgmTZqEQ4cOISkpqUjHyWQyfPvttwCAs2fPAvjfF/m8Ytba2hpNmzaFubk5nj9/jocPHwL4310ChULx2fej+Ph43L17F1evXoW/vz9at26N7777Dk5OTti3b1+5XryTCgJCtMS/l1YnpLRUrVoV27Ztw8GDB7Fjxw6+42gtxhgiIiKQnp4OGxsbuLm5wdzcnN4TCG9q1KiBpk2bYs+ePUU6zsDAADVr1gTHcbh+/bpy8HveF/x/r4Hl7OyMpKQkhIaGAvhfwSAQCPK99vOOSUxMhL+/P9q3b48lS5bg7t276NGjB/bt24dmzZqV64saVBAQUo7l5OQgLS2N7xhEyw0cOBBjx47FlClT8PTpU77jaA2pVKr8M8dxcHV1hb29vUZMgUi0w9ixY7F169YifdHmOA5t27aFu7s7Xr16hUuXLgH4X///vC/6NWvWhI2NDdLS0j7psvjhwwcsW7ZMOTYgr8tRlSpVMHbsWEybNg2bNm1CZGQkTp48iWbNmuU7d3mk0QXB+fPn4e3tDSsrK5iYmKBBgwb47bfflC+Kwlq4cKHy6mlBP3nV5ee8fPkSQ4YMgYODAwwNDVG5cmVMnz6dvogRXkkkEsTGxsLU1JTvKIRgw4YNqFatGjZv3sx3lHJNoVAgNTUV4eHhSE5OzvdYef4yQzRTnz59kJycjOvXrxfpuFq1aqFp06aQSCT4888/ASDfArhyuRxGRkaoXLkyACA2Nlb5WGpqKhYvXoyffvoJ+/btAwDlAHpDQ0P06NED69atw/jx47WqS53GTiGwYsUKzJkzBwBQqVIlmJqa4smTJ5g6dSquXLmCkydPFnlFOBcXF7i6un72sYJGjQcGBsLHxwfZ2dmwsbFBzZo1ERoairVr1+LkyZO4fft2ue5zRsommUymXBqeZgohZYGRkREuX76MChUq8B2lXMrNzUVKSgpyc3MhFArh6upapldFJQT42P1n5MiR2LJlC7y8vAp9nJGREXr16oWLFy/izJkzCA4Ohqenp3I60Lzi183NDQDy3SGwtLRE/fr1sWvXLpw+fRrPnz9HzZo1lY//u7DQKkwD3b59m3EcxwQCATt48KBy++PHj5mdnR0DwFavXl3o8/n7+zMAzN/fv0g50tPTmY2NDQPApk6dyiQSCWOMsaSkJObp6ckAMB8fnyKdM49IJGIAmEgkUul4or3kcjl7//49E4vFfEchhJQChULBYmJi6N880UihoaFMX1+fJSQkFOk4kUjERo0axTiOY127dmWJiYmMMcZyc3OV+3h6ejKO49jp06cZY4xJpVLGGGMhISHM39+f3bp1S03PQvNxjH2949bevXvVVoAMHz682Ofw8fHB+fPnMXbsWGzZsiXfYwcPHsSQIUNgbW2N2NhY6OnpffV8CxcuxKJFi+Dv74+FCxcWOsfq1asxc+ZMVK9eHc+ePctXVUZERKBy5cqQyWR48OBBkVerS09Ph1AohEgkgrm5eZGOJdqLMYaoqChYWlpSVyFCyimJRILMzExaQZiUG23atEGXLl0wY8aMIh33+vVr1K5dG1KpFCNHjsSCBQvg7u4OADhw4ABGjx6NSpUq4dSpU6hWrVoJJC8/CtWXYOTIkWrpe8hxXLELgvT0dFy5cgUA4Ovr+8nj/fr1w4QJE5CcnIzAwEB06NChWO19yYkTJwB8/Pv57y0mV1dXeHt74+LFizh27JhGLV9NNBfHcbCzs1MupkIIKR8YY8jIyEBaWhoEAgGtJ0LKlXHjxuGnn37Cjz/+WKSubtWqVcMvv/yC1atXY/fu3QgJCUH9+vXx6tUr3Lt3DyYmJli4cCEVA4VQqILA1dW1wIIgMTERYrH448l0dWFtbQ0ASE5OhkwmA/BxoRN19Rt99OgRJBIJDA0NP/slW09PD40bN8bVq1dx9+7dIhUEgYGBeP78OZKTk2FlZYUmTZpg+PDhsLe3/2TfvCv/AODp6fnZ83l6euLixYu4e/duoTMQUlxUDBBSfjDGkJiYiKysLJiZmcHR0ZHGBZFyQyKR4Pbt23jw4AHCw8Ph6+uLXbt2Fekc48aNQ506dbB48WLcvn0b//zzDwCgVatWmDlzJrp06VIS0cudQpVh4eHheP/+/Sc/s2bNglQqRYsWLXDp0iVkZGQgNjYWsbGxyMzMxKVLl9CyZUtIpVLMmjUL79+/L3bgsLAwAB+LlILeFCtVqpRv38K6ceMGjh07hsDAQBw/fhyzZs1CpUqVsHv37k/2DQ8PV07plteeunIQUlSZmZlFnl2LEL7l5ORg4sSJRZ5hRNuYmJjA3d0dFSpUoGKAaDTGGMLCwrBx40Z069YNVlZWGDRoEBISEuDt7a28wFwUHMehefPmOHHiBB48eIALFy7g/fv3CAoKomKgCFSeguDatWuYPHkyunXrhqCgILRv3z7f3Mb6+vpo3749goKC0K1bN0yePBlBQUHFDpyamgoAX7xdmvdY3r5f4+DggLlz5+L+/ftITk6GWCxGcHAwOnfujOzsbIwePVo5V+1/c3wpS1FzEKKKjIwM5cIshGgSPT09PH/+HMOHD4dIJOI7Du9kMhmSkpIQHR2t3MZxHExMTOjfN9FYIpEIJ0+exPjx41GpUiXUqlULAQEBaNWqFW7fvo2YmBjs2bMHK1aswJkzZ5Cenl7kNhhjMDY2RtWqVdGxY0fl7EKk8FQuCNauXQvGGNavX//F/l4cx2Ht2rVQKBRYs2aNqs0p5eTkAPhyt4i8wiQ7O7tQ5xw3bhyWLVuGRo0awcrKCkZGRmjevDnOnTuHXr16gTGG77//Pt/CGXk5vpSlqDkIKars7GykpKTAycmJvjAQjaOjo4M9e/YgNTUV3333Hd9xeMEYQ1ZWFqKiohATEwN9fX04OjryHYuQYmGMYenSpWjRogWsra0xd+5cGBoaYtOmTUhNTcWVK1cwY8YM1KlTR/nZVbduXVSvXh1Hjhwpcnv0+Vd8Kt97DAkJgYWFBVxcXL66r6urKywsLHD//n1Vm1MyNDQE8LHfWUFyc3MBfJyntjg4jsOKFStw8uRJvH37Fk+fPkXdunXz5cjL8u/f1ZlDlUrZwMCAVqIso/LetAoxuddX5ebmIi4ujuYbJxrN3d0dv/32G0aOHIlu3bqhT58+fEcqNYwxfPjwAYaGhrC1taXxP6Tc4DgOIpEII0eOxMGDBwtc4+m/Ro0ahZ07d8LPz6+EE5L/UvlbREZGBjIzM7/4xTyPRCJBVlbWJ0tHq6Iw3XAK062osKpVq6ac2u3Nmzef5PhSFnXkcHFxgVAoLNLPzz//rHJ7pe39+/fYtm0bxowZg7p160JXVxccx2Hp0qV8R/ui+/fvY926dRg4cCAqVqyoXNH61q1bKp0vLi4Oe/fuxeTJk9GkSRMYGBiA47gC3xRlMhliYmLg7Oys0iIq2dnZOHnyJObMmYN27dpBKBSC4zhUqVJFpfyEFMfw4cPRu3dvjBs3Lt+KouVR3tgz4OOXJjc3N9jb21MxQMqd1atXw8/Pr9DFAAAMHjwYDx8+RGhoaAkmI5+j8h2CihUrIjQ0FHv37v1qJbd3715IpVK1fNmoWrUqgI/z/Mtkss8OsHr37l2+fYsrby2DvFmTgI9XtfT09CCVSvHu3Ts4ODiUSI7IyMgir0OgSXcHfvnlF/zyyy98xyiyMWPG4MmTJ0U+zsPD47PbDx06hO+//77Q55HJZHBwcCjUOhuf8+rVK/Tu3VulYwlRN47jsGXLFtSqVQu+vr44d+5cueoCoFAoIBKJIBKJYGRklG/1+vL0PAkpLisrK/To0QO7d+/GihUr+I6jVVS+QzBo0CAwxjB16lTs2bOnwP327t2LqVOnguM4DBo0SNXmlOrXrw89PT3k5OTg4cOHnzwulUqVXZO+/fbbYreXlJSEhIQEAICzs7Nyu66urnLa0+Dg4M8em7e9ODnMzc2L/KNJBUGFChXQtWtXLF68GBcuXNCY7gKVKlXCoEGDsH79egQHB+d7bXxJaGjoZ698mJubo3379pg3bx5OnTqFKVOmfPE8hoaGn+2mVlh6enpo2rQppkyZgn379mHnzp0qn4sQdahQoQJ27tyJCxcuYNu2bXzHUYucnBzExsYiIiICwMfus/8uBgghnxo9ejT27NmT7yIsKQWqLnGcnZ3N6tevzziOYwKBgLm5ubERI0awuXPnsnnz5rERI0Ywd3d3JhAIGMdxrH79+iw7O7tYyyrn6dy5MwPAxo4d+8ljBw4cYACYtbV1vuWrVTVnzhwGgAmFwk/Ot3LlSgaAVa9enclksnyPffjwgenq6jIALCQkpMjtikQiBoCJRKJi5dc0I0aMYADYkiVL+I5SJG5ubgwAu3nzplrO5+/vzwAwX19f5TaFQqFcdl3dAgMDGQBWuXLlEjk/IYXl6+vLzM3NWVRUFN9RikWhULCYmBgmFov5jkKIRpHJZMzR0ZFdvHiR7yhaReU7BIaGhrh69Sp69uwJxhgiIiKwb98+rFixAj///DP27duHDx8+gDGG7t2748qVK8W6ovlv8+bNA8dx2L59O/7880/l9idPnuCHH34AAMycOTNfn8wNGzbA3d0dAwcOzHeu58+fY+LEiXj+/Hm+7Tk5OVi+fDlWrlwJAJg1a9YnfTzHjx+PChUq4OXLl/jhhx+UfUOTk5MxePBgyGQydO7cGQ0bNlTL8yYlb+HCheA4DgsXLkRiYiImT56s7B42cuTIYp8/b6yBKhISEj4ZZO7l5QWO4xAUFIR79+7Bx8cHVlZWMDExQfPmzREQEFDszISUptWrV8PY2BgTJ05Uy+D70iKRSJCSkqL8neM4ODg4FHtyC0K0jY6ODgYPHoz9+/fzHUWrFGtqEktLS5w4cQJ3797F999/jxYtWqBatWqoVq0aWrRoge+//x5///03AgIClANz1cHT0xNLliyBQqHA4MGDUblyZdStWxcNGjRAfHw8fHx88OOPP+Y7Ji0tDR8+fEBcXFy+7VKpFH/88Qdq1aoFW1tbNGrUCI0aNYK1tTXmzZsHhUIBX19fzJ49+5Mc5ubmOHToEAwNDfHrr7/CyckJjRo1gqurK4KDg+Hu7k5dMTRUYmIiGjVqhM2bN0MoFKJGjRoqDd5Vl5SUFDDGCvx3dPPmTbRs2RI3btxA5cqVIRQKcefOHfTq1Qvr1q0r5bSEqM7S0hK///47Tp8+jaNHj/Id54sYY0hPT0dERAQSEhLUdtGLEG03dOhQnDhxApmZmXxH0RoqDyrO6xNpa2uLxo0bo3HjxmoLVRjz5s1D3bp1sX79ejx48ABxcXGoXbs2Ro0ahcmTJxf6y5u7uzuWLFmC27dvIzQ0FK9evYJEIoGtrS26dOkCPz8/dOzYscDj27Vrh5CQECxduhTXrl3Ds2fP4OTkhF69emH+/PlqmemIlL4tW7agSZMm+cYH/HvtidKUnp4OsVgMJyenAvdZvHgx+vbti+3bt8PExASMMWzcuBFTp07FrFmz0K5dO+WUuYSUdb1790bv3r1x+PBh9O/fn+84n2CMITExEVlZWTAzM4OjoyOtIEyIGtWpUweVKlXCqVOnMGTIEL7jaAWV38Hc3d0hEAgQERHB2yIqXbt2RdeuXQu178KFC7Fw4cJPtltYWGD+/PnFylGzZs18XZeI5tPV1cWxY8fyvbb5uPonk8mQmpoKFxeXL3Y1srKywq5du5QZOY7DlClTEBQUhBMnTmDdunVfHPxPSFmze/dumJiY8B2jQKamprCxsaFZgggpARzHYejQodi/fz8VBKVE5S5DpqamEAqFtKIiKZe8vb3LxGtbKpXC2dn5qwuP+fr6frZgmThxIgDg0qVLJZKPkJJiZmZWJhbck8lkSExMRHR0tHIbx3EwNjamYoCQEjR48GBcuXIF8fHxfEfRCiq/27q7u0MsFkMul6szDyFlQvXq1fmOAODjKteF6f5WUN687fHx8Sqtek2INmKMISsrC1FRUYiJiYGhoWGZuEBAiDZxcXFBixYtcOjQIb6jaAWVC4KePXtCIpHg3Llz6sxDSLEsX74cLVq0+OTn0aNHRToPn10VVJlZxdbW9qvb1bFSOCHlnUKhwIcPH5CZmQlbW1u4urrCzMyM7gYQwoO8bkOk5Kk8hmDWrFk4fPgwJkyYAHd3d9SpU0eduQhRyevXrz+7UJxIJOIhTdEpFApERUVBoVAU6bjExMSvbjczMytWNkLKK6lUqlz1WyAQwM3NjQoAQsqA3r17Y8KECXjz5g2qVKnCd5xyTeWC4Pjx4xg3bhwWLlyIRo0aoVOnTvD09IStre0XuzgMHz5c1SYJ+ardu3dj9+7dfMdQCWMMMTExsLCwKHLf6ZcvX35xu52dHczNzYudkRC+ZGZmYteuXZg0aZJaxhYoFAqkpaUhPT0dxsbG+e6mUTFASNlgaWmJDh064OjRo5gzZw7fcco1lQuCkSNHKt80GWM4d+7cV7sPcRxHBQEhBYiPj4exsbFKX9x37NiBBQsWwMDAIN/2TZs2AQA6dOigloyE8OXx48eYOnUqTExMMHr0aJXPk5OTg5SUFEgkElhYWMDV1bVMDF4mhHzegAEDsHbtWioISpjKBYGrqytdRSFETZKSksBxnMoL+CUnJ8PX1xdbtmxRrkPwxx9/4MSJE9DR0VGu4E2IpmrRogWGDBmC2bNno1evXiqt8aJQKJCamgorKytaRIwQDdGjRw+MGTMGr169goeHB99xyi9GyiSRSMQAMJFIxHeUEnXr1i1mbW2t/DEwMGAAmLGxcb7tERERpZLH39+fAWD+/v5f3G/lypX58gkEAgaACYVC5bb69et/chwA9t9/dmKxmN27dy/f+YyMjBgAZmBgkG/7rVu38h3bunVrBoAtXryY6evrMzMzM9aoUSPm6OiobGvVqlWffQ7169dXntfc3JwBYAKBIF97K1euLNpfICElKCYmhpmZmbHJkycXav+cnByWnJxcwqkIISWtZ8+ebNGiRXzHKNdoaUXCK6lUiuTk5E+2i8ViiMVi5e9lbXpbsVj82dz/HrxsampaqHMZGhqiQoUKnz1fbm4ucnNzlb9LpdLPnqNly5a4efMmFi5ciDt37iA3NxdNmzbFzJkz0atXr88ek5KS8kmbCoUi37Z//z8ghG8ODg5YuHAhZsyYAV9fX9SrV++TfRhjSE9PR1paGnR0dFS+60YIKTv69++PpUuXYsGCBXxHKbc4xlSY45CUuPT0dAiFQohEIhoMSgrk5eWF69evIzAwEF5eXnzHIaTESaVS1KtXD5aWlrh586ay66pCoUBiYiLEYjHMzc1hYWFRqDU8CCFlX940wPfu3UOtWrX4jlMu0UgqQnggkUiQkpLCdwxCNI6enh42btyI4ODgfPOTcxwHMzMzuLu7w9ramooBQsoRU1NT+Pj44MiRI3xHKbfU0mXo9u3buHXrFqKiopCVlVXgwkocx2HHjh3qaJIQjSWXyxEdHQ0nJye+oxCikVq2bIlffvkFkZGREIlEEAqF4DgOxsbGfEcjhJSQPn36YNmyZVi8eDHfUcqlYhUEYWFhGDx4MB4+fJhvO2PskxmI8rZRQUC0mUKhQGRkJOzt7aGvr893HEI0BmMMWVlZSE1NBWMM3bp1Q+3atZGRkYGff/6Z73iEkBLWpUsXjBgxAmFhYahatSrfccodlbsMJScno23btnjw4AFsbW3Rr18/MMZgaGiIoUOHol27djA1NQVjDNbW1hgxYgStQUC0GmMM0dHRsLa2hpGREd9xCNEYCoUCHz58QFZWFuzt7eHq6oqKFSvihx9+wIYNGxAZGcl3REJICTM3N4e3tzdOnjzJd5RySeWCYMOGDYiOjsa3336Lt2/f4tChQwAAoVCIvXv34q+//kJMTAxmzJiBpKQkGBkZYdeuXWoLToimiYuLg6mpKczMzNR2zqCgIDDGaEAxKVcYY/lm1BIIBHBzc4OdnR309PSU22fMmAFzc3PMnz+fj5iEkFLWu3dvnDhxgu8Y5ZLKBcG5c+fAcRyWL19eYL9NExMTrFy5Et999x22bNmCo0ePqhyUEE1nbW2t0mJKhGgLuVyOlJQUhIeHIzU1Nd9jn1sI08zMDKtWrULdunVLKyIhhEfdu3fHgwcPEB0dzXeUckflaUeFQiGysrKQk5MDXd2PQxEEAgGsrKyQlJSUb9/4+Hg4Ojqibdu2uHz5cvFTawGadpQQoi1ycnKQkpICqVQKoVAIc3NzCAQ0CR4h5FNeXl7o168fJk2axHeUckXld9y8N+68YgAAjI2NkZGR8cm+dnZ2EAqFePr0qarNEaKRxGJxvkXVOI777JVOQrSVQqFAamoqrKys4ObmBgsLCyoGCCEF6t27N40jKAEqv+s6OjpCJBJBJpMpt9nZ2UEmk+Hdu3f59pVKpUhPT8+3iishjDHcunULM2bMQNOmTWFhYQF9fX04OjqiT58+CAwM5DviZ+Xk5ODEiRPw8/NDrVq1YGJiAkNDQ1SpUgUTJkzAmzdvAADZ2dlISEgoVAEQFxeHvXv3YvLkyWjSpAkMDAzAcRz8/PxK5DlkZ2fj5MmTmDNnDtq1a6ectrFKlSol0h4heXJzc/OtwSEQCODg4ABDQ0MeUxFCNEXPnj1x/fr1T7oVkuJRedrRihUr4v3794iMjETFihUBAI0bN0Z4eDj279+fb3np3bt3Q6FQ0LzrJJ9r167B29sbwMcvBVWqVIGJiQnCwsJw4sQJnDhxAvPnz8eSJUt4TprfsmXLsHTpUgCAoaEhqlatCrlcjrCwMGzevBl79+7F/v37Ua9ePbi6uua72unh4fHZcx46dAjff/99qeQHgFevXqF3796l1h7RbgqFAhkZGUhLS4Ouri6srKz4jkQI0VCurq6oWbMmLl26hIEDB/Idp9xQ+Q5Bhw4dAAAXL15Ubhs2bBgYY1i6dCkmTZqEbdu2YfLkyZg8eTI4jkPPnj2LHZiUH4wxVKlSBZs2bUJSUhJevXqFhw8fIjk5GXPmzAEALF26FGfPnuU5aX6MMbRp0wYBAQFIS0vD06dP8fz5c0RGRqJLly4Qi8UYNmwYdHR0PlktNTQ0FKGhoZ+c09zcHO3bt8e8efNw6tQpTJkypUSfg56eHpo2bYopU6Zg37592LlzZ4m2R7STQqFAfHw8Pnz4AJlMBmdnZzg5OdG0u4SQYunatSvOnDnDd4zyhano1atXzM3NjQ0aNCjf9kGDBjGO45hAIFD+cBzHatSowdLS0lRtTuuIRCIGgIlEIr6jlBiRSMSkUmmBj3fu3JkBYN27dy/FVF+XlJRU4GNpaWnM2tqaAWDr1q1TuQ1/f38GgPn6+qp8jqIIDAxkAFjlypVLpT2iHRQKBcvKymIKhaLU2rx48SI7dOhQqbVHCCl9d+7cYZaWll/8DkGKRuU7BNWqVUN4eDgOHjyYb/uBAwewZcsWtGnTBlWqVEHDhg0xf/583L59G0KhsDi1CylnzM3N8w1K/6/27dsDAF6/fl1akbBw4UJwHIeFCxciMTERkydPhru7O/T09DBy5EgAH6cPLYiRkRGaNm0K4PO51T2o2MvLCxzHISgoCPfu3YOPjw+srKxgYmKC5s2bIyAgQG1tEfIlUqkUCQkJiImJUW7jOA7GxsalOpD+6NGjmDJlCrKyskqtTUJI6WrSpAl0dXVx+/ZtvqOUG2qfyoHjOIwZMwZXrlzBq1evcO/ePSxevJiKAVJkOTk5AMBL94LExEQ0atQImzdvhlAoRI0aNT7p/vM5+vr6ygWVSjP3zZs30bJlS9y4cQOVK1eGUCjEnTt30KtXL6xbt67UchDtwhhDZmYmIiMjERcXB2NjYzg4OPCaaf78+UhNTcWmTZt4zUEIKTkCgQA+Pj5lrkuxJqO53UiZxBhTLmTn6elZ6u1v2bIFTk5OCA8Px5MnT/DkyRP8/vvvBe6fN9tWfHw8rl+/DqB0cy9evBi9e/dGXFwc7t+/j+joaPz6668AgFmzZuHJkyelloVoB4VCgfDwcIjFYtjb28PFxQWmpqa8T6vr7u6OUaNGYdWqVcjMzOQ1CyGk5HTr1o3GEagRFQSkTNq2bRsePXoEfX19TJs2rdTb19XVxbFjx+Ds7KzcVtC0iCkpKUhOTgYA/PDDD8jNzUW1atXQo0ePUskKAFZWVti1axdMT2z+RwAAZbtJREFUTEwAfLxTN2XKFPTu3RsymYzuEpBiY4xBIpEofxcIBHB3d4etrS309PR4TPapefPmQSQSfbGIJ4Rotvbt2+Pt27fKqb5J8RRq2tG9e/eqrcHhw4er7VykfHr48CG+++47AB9nGapcuXKpZ/D29oajo+NX90tPT4dYLIaTkxP++OMPHDx4EDo6Oti9e/cXx0eom6+v72cLlokTJ+LEiRO4dOlSqWUh5YtcLkdaWhrS09NhamoKGxsb5WN83w0oiJubG3x9fbF69WpMnDgRZmZmfEcihKiZmZkZWrdujYsXL2Ly5Ml8x9F4hfrGMnLkSLW88XMcRwUB+aL379+ja9euyMnJweDBgzF9+nReclSvXv2r+4jFYqSmpsLFxQXnzp3D1KlTAQC///47mjVrVtIR8ykob972+Ph4pKenw9zcvDRjEQ2WnZ2NlJQUyGQyWFhYwM3NTaNWEJ47dy527tyJjRs3KqcxJoSULx07dqSCQE0KVRC4uroWWBAkJiZCLBZ/PJmurnIGluTkZGW/ahMTE1SoUEEdeUk5FhcXh/bt2yM2NhY+Pj7YvXt3kQvR5cuX4/z5859s/+2331C/fv1Cnyev601BcnNzER8fD1dXV9y6dQv9+/eHTCbD8uXLMW7cuCJlVgdbW9uvbs/IyKCCgBSKQqGASCRChQoVYGBgwHcclbi4uMDPzw9r1qzBpEmT6LVPSDnUqVMn+Pv7Izc3V2Pfq8qKQl3uCQ8Px/v37z/5mTVrFqRSKVq0aIFLly4hIyMDsbGxiI2NRWZmJi5duoSWLVtCKpVi1qxZeP/+fUk/H6KhUlJSlP0BW7dujaNHj6rUL/n169cIDg7+5EckEqk1r0gkgrOzMx4/foxu3bohOzsbM2fO5O1KZGJi4le3U7cJUpCcnBykpKQofxcIBLC3t9f4D9g5c+YgMzMTv/32G99RCCEloGbNmrC0tERwcDDfUTSeyvd/r127hsmTJ6Nbt24ICgpC+/bt83146Ovro3379ggKCkK3bt0wefJkBAUFqSMzKWcyMzPRpUsX/PPPP2jcuDHOnDmj8pSdu3fvBmPskx8vLy+1Zra1tcWbN2/QqVMnpKenY9y4cVi5cqVa2yiKly9ffnG7nZ0dXSEl+eTdBfjw4QOSk5PL5erBzs7OGDNmDNavX6+8k00IKT84jkOHDh1w8eJFvqNoPJULgrVr14IxhvXr13+xXynHcVi7di0UCgXWrFmjanOknMrNzUWPHj1w9+5d1KxZExcvXiyzV7IZY8o/h4eHo3379khKSsLgwYN5n/N8x44dyM3N/WR7Xq4OHTqUdiRSRikUCsTFxeHDhw+Qy+VwdnaGk5NTuSwIAGD69OlIS0vDrl27+I5CCCkBnTp1ookz1EDlgiAkJAQWFhZwcXH56r6urq6wsLDA/fv3VW2OlENyuRwDBw7EtWvXULlyZVy+fBlWVlZ8x/osxhiio6MhkUgQHx+P9u3bIzo6Gt27d8eePXt4H2yZnJwMX19f5eqsjDFs2rQJJ06cgI6ODn744Qde85Gyg+M4mJubw93dHVZWVoVacE+Tubu7Y8CAAXj+/DnfUQghJcDb2xvPnz/Pt0o6KTqV50XMyMiAXC6HRCKBvr7+F/eVSCTIysoq9x88pGiOHDmCgIAAAB/7LPfr1++z+zk4OCgXKeNLfHw8jI2Noa+vjwULFijnPY6JiSmwO1KXLl0wd+7cQp0/MjIy36DnvO4N+/fvV/4dAcCpU6c+u+DZggULsHTpUpw+fRoeHh6IiYlRvjn+/PPPqFev3ifHNGjQABEREQCgXF35/fv3+SYAmDlzJmbOnFmo50DKHqlUitTUVMjlcuUKwhzHwdjYmOdkpWvPnj2lOg0wIaT0WFlZoVGjRvjrr78wcuRIvuNoLJXfIStWrIjQ0FDs3bsXfn5+X9x37969kEqlqFKliqrNkXLo311cwsLCEBYW9tn93NzcSivSZyUnJ4PjOOXdi3/nDgkJKfC4orze5XK5cnGzf8vNzc3XXt4X9/9q2bIlbt68iYULF+LOnTvIzc1F06ZNMXPmTPTq1euzx/x7QbU8CoUi3zbqd615GGPIzMxEamoqOI6DpaXlV2fNKu+oGCCkfGvfvj2uXr1KBUExcOzfHaOLYOnSpViwYAEMDQ3xxx9/YMSIEZ/db+/evRg/fjxyc3OxaNEizJ8/v1iBtUV6ejqEQiFEIhENBuWRSCRCZmYmHB0dy+QiTF5eXrh+/ToCAwPVPnCaaB6FQoEPHz7AxMQElpaWZW4FYUIIKQlBQUEYMmQIoqKiyuRntSZQuSDIyclB8+bN8fjxY3AcBxcXF3h5ecHJyQkcxyEqKgrXr19HREQEGGOoV68ebt++/dnVVMmnqCDgn0QiQVxcHFxcXMrsGwwVBNqNMQapVJqv2yZjrMy+XgkhpCTk5OTA0tISjx8/hoeHB99xNJLK91ENDQ1x9epV+Pr6IiAgABEREdi3b1++ffJqje7du2Pnzp1UDBCNoq+vX6aLAaK95HI50tLSkJ6eDjMzs3zjPuj1SgjRNoaGhvD09MTVq1epIFBRsTpWWlpa4sSJE7h//z4OHTqEkJAQJCQkAPg4T3ujRo0wYMAANGnSRC1hCSlt9OWKlCXZ2dlISUmBTCaDhYUF3N3d6TWqArFYrHUDqwkp79q2bYtr165h4sSJfEfRSGoZadW4cWM0btxYHacihFdyuRypqan5rrgSUhbkLSRWoUIFjV9BmE+BgYHo2bMnXrx4AScnJ77jEELUpG3btsp1r/ieClwT0d8YIf9PoVAgKipKo2ZkCQoKKpGVmAn/cnJykJKSovxdIBDA3t6eioFiatCgAeRyObZt28Z3FEKIGjVq1AhSqRRPnz7lO4pGooKAEPxv4TErK6tyu2IrKfsUCgXS0tIQHh6OlJQU6tZSAoRCIYYNG4atW7cWOI0vIUTz6OrqonXr1rh69SrfUTSSyrMM5cnIyMDZs2fx9OlTpKSkfPENluM47NixozjNaQ2aZaj0MMYQFxcHQ0NDWFpa8h2HaCGFQoGEhATk5OTA3NwcQqGQFnIsQc+ePUOdOnVw5MiRAhdEJIRonjVr1uDmzZs4deoU31E0TrEKgt27d+O7775DZmamctvnTsdxnHIqPLlcrmpzWoUKgtKTlJQEhUIBW1tbvqMQLcUYQ05ODgwNDWmQcClp1aoVBAIBgoKC+I5CCFGTu3fvokuXLkhMTKRxBEWk8qDiS5cuwdfXF4wxGBoaolmzZnB0dKQVIYnGMTc3L7UFnPK+7BXzxhzRYBKJBKmpqVAoFHBwcADw8XVBXdVK18SJEzFo0CA8f/4cNWvW5DsOIUQNGjRogJycHLx8+ZL+XReRyt/eV61aBcYYmjVrhlOnTtGsLEQlAQEBuHDhAkJCQhATE4Pk5GQYGxujRo0aGDBgACZMmJBv0aWSUNTzM8bw66+/4u7du3j8+DHi4+ORnp4OKysrNGrUCGPGjEHPnj2LdM64uDj89ddfuHfvHu7du4cnT55AIpHA19cX27dvL9K5CiM7OxsXL15UthcSEoL09HRUrlwZb968UXt72o4xhszMTKSmpoLjOFhZWdH4AJ717t0bdnZ22LRpE37//Xf1nPThQ+DiReDmTeCff4CEBEBPD3B0BJo3B3x9gZYt1dMWIeQTenp6aNq0KW7evEkFQRGp3GXIwsICGRkZCA0NRdWqVdWdS+tpS5ehFi1aIDg4GAYGBnB0dIS1tTViY2MRHR0NAGjYsCGuXLkCCwsLtbabk5MDHR0dle4MyGQy5XFmZmZwcnKCkZERwsPDkZqaCgAFfpH/5ptvAAChoaH5tm/YsAHff//9J/uXVEHw+PFj1K9f/5PtVBCon1wuR0REBExNTWFpaUl3UcuQBQsWYP369YiJiYGZmVnxTta6NXDjxtf3GzYM2L4dKOELHYRoq0WLFuHVq1c4ePAg31E0isodrGQyGUxNTakYIMXi5+eHwMBAZGRk4N27d7h//z6ioqJw584dODs748GDB5g3b55a25RIJIiNjVW5r7ZAIMDq1avx5MkTpKen4+XLl3j48CGSkpKwZ88e6OrqYseOHTh69Ognx4aGhn5SDAAfuy21b98e8+bNw6lTpzBlyhSVshVW3lWUKVOmYN++fdi5c2eJtqdNGGOQSCTK33V0dODu7g4bGxsqBsqYsWPHIjs7G/v27Sv+yf7/IgYcHYHvvgOOHQPu3QPu3AHWrQPy1jzYtw8YObL47RFCPqtly5a4efMmdc0tIpXvENStWxevXr1CVlYWzYZRArTlDsGXHD16FP3794ejo6PyjkFxyWQyREZGwsnJqcS6Ik2aNAmbNm3C4MGDceDAAZXOsXDhQixatKjE7hD8V1BQENq0aUN3CIohb1G7jIwMmJmZUTdKDdGnTx+8fv0aT58+Ld6A7q5dgeHDgT59gM99JiYlAZ6ewOvXH3+/cYO6DxFSAsRiMYRCIcLCwuDu7s53HI2h8h2CoUOHQiqV4sKFC+rMQ4hSXvcasVislvPlLTzm4OBQYDGwcOFCcByHhQsXIjExEZMnT4a7uzv09PQwspBX9b6Um+M4tc4i4+XlBY7jEBQUhHv37sHHxwdWVlYwMTFB8+bNERAQoLa2yKcYYxCLxYiKikJUVBT09fXh7u5OxYAGGTNmDP755x88ePCgeCc6exbo3//zxQAAVKgArF37v9+PHStee4SQzzI2NkbDhg1x8+ZNvqNoFJULgmnTpqFx48aYOHEiwsLC1JmJEADAnTt3AHycNaC4GGOIiopChQoVYGho+NX9ExMT0ahRI2zevBlCoRA1atQo9J0wdeYurJs3b6Jly5a4ceMGKleuDKFQiDt37qBXr15Yt25dqeXQNgqFAunp6bCxsYGbmxvMzc1p2lAN0759e7Rr1045/qdE/XtF8bdvS749QrRU8+bN8ffff/MdQ6Oo3KH1zz//xLBhw7BgwQLUrVsXffv2xbfffvvVgVnDhw9XtUmiBeRyOWJjY3H69GnMnj0bJiYm+Pnnn9VyXktLS5iamhZq/y1btqBJkyYIDg6Gs/P/tXfnYVGV7R/Av2dgAAHZF9kRNVwKFwLX3PONzC01zTJNy9LSNl+tNMU0S63MbDXN5Zdb+qpZmZaKpWiYa7mLyiKCsg47s92/P04zMjIDM8PAAHN/rmuu4JzzPOee03g49zxbMABxILIhFRUVSElJwapVq7B582a0bt0aM2bMqHXcxnr33XcxatQorF69Gi4uLiAifPbZZ5gxYwZmz56NAQMGoGPHjvUWT1NVXl6OsrIy7QJ2dnZ2aNGihZWjYrVhZ2eH/fv318/JKo0tAc+Rzlid6datGz744ANrh9GomJ0QTJw4UWdO9Y0bN9bYX1oQBE4ImF76ZtkZPnw4Fi5ciPvvv7/W9dvb25s0i4i9vT22b9+OwMBA7TZ9LQvDhw/XWRFRKpXitddew5w5c+Du7l67oE3g5eWFtWvXamMUBAHTp0/HoUOHsGPHDnz88cdYv359vcXTlKjVashkMshkMjg4OMDLy8vaIbHG6vff7/78b9dCxpjlde/eHX///TdKSkrg4uJi7XAaBbMTgtDQUG4aZxYTFBSEnj17QqFQIDU1Fbdv30ZCQgI2b96Md9991+yB60ql0qyZXQYOHKiTDBjSvn175OTkoLS0FNevX4dMJsPOnTsRExODJ5980pyQzTJ58mS9Ccu0adOwY8cO7Nu3r95iaSpUKhXu3LmDiooKuLm5ITQ0lFe+ZOZTq4HK31g+8YT1YmGsiQsODoa/vz9OnjyJ3r17WzucRsHshCAlJcWCYTBbN3r0aIwePVr7e1JSEl544QUsXrwYeXl5+PLLL02us6ioCIWFhQjSTPdngnbt2hl13OLFi7U/ExG2bNmCl19+GePGjYMgCBg7dqzJ5zaHoXg12zWLp9nqjFXmkEgk8PDw4BWEmWUsXy5OQwoAI0YADz5o3XgYa8IEQUC3bt3w559/ckJgJJ4UmzVIXbt2xZ49exAREYFVq1bhzTffRFhYWI3lFi9ejD179kCtVkOhUMDR0REAsHLlSr0LcRliThOjIAh48skn4eDggFGjRmHu3Ln1lhD4+fnVuL2oqIgTAgPkcjny8/OhVqsREBAAQPz/yckAs4jffwfefFP82c8PMOMLDsaYabp3747ExERrh1FrRARBEFBcXIzz58/j+PHjSEtLQ0BAAEaMGIGWLVvqHGcuTghYgxUYGIhOnTohKSkJZ8+eNSohuHLlit4bgEwmq4sQ9Ro8eDAA4Nq1a5DJZPUyliA7O7vG7bVeibWJISIUFRWhoKAAEokEnp6ecHZ2tnZYzMrUarVlpwc+f15sEVAqAUdH4PvvAX9/y9TNGDOoW7du+Oijj2r9oGxNarUaEokEV65cwcyZM/HTTz/p7F+2bBmmTZuGd955p9bvkTvEsgZNqVTq/Lcmq1evxvXr1yGXy0FE2lffytP91bHKsapUqno558WLF6vd7u/vz60DlahUKqSkpEAulyMwMBDBwcFwcXFptH80mGVcu3YNrVq1wqlTpyxT4Y0bwKBBQH6+uD7B5s1Anz6WqZsxVq3o6Gjk5OQgLS3N2qHoVVRUhH/++QenT59GRUUFAFRZXVkikSA5ORmPPfYYfvrpJ/Tu3RsrVqzA7t278fHHH0Mmk2HJkiVYsGCB3vKmsEgLwdGjR3HkyBHcvHkTJSUlBgMSBAFr1qyxxCmZDUhJScHZs2cBwOgpMwsKChAQEACpVFqXoVVLsxhYSEhIvc1Is2bNGsybN0/bRUrjiy++AAAMGjSoXuJoqIgICoVCuyCdnZ0dwsPDOQFgOsLCwlBWVobNmzcjOjq6dpXdugUMHCj+VxCAb78VWwoYY/WiWbNm6NChA06ePGlUD4P6oFQq8dlnn2HDhg04c+YMAHGWwEGDBmH8+PGIi4vTadFQKpVYtWoVkpOTERMTg/379+tMlBIZGYnBgwdj8eLFePrpp9GqVSvzg6NauHLlCj344IMkkUh0XoIgGNxmST///DMNGDCAPD09ydnZmTp37kyffvopqVQqk+o5deoUvfPOO9S7d2/y9vYme3t78vX1pUceeYR27NhhsNzatWsJQLWvX375xaz3JpPJCADJZDKzyjcGJ06coHnz5tG1a9eq7Pvll1+obdu2BIAeffTReotp/vz5BIDmz59v8Jh169bRqlWrKC8vT2d7eXk5ff3119S8eXMCQEuXLq1SVvO5MDaOyZMnV3tcnz59CADZ29vTU089RcXFxUREpFar6fPPPydBEMjOzo5Onz5dbT0JCQkEgFq1alVjbI2JQqGg7Oxsun79OuXk5Fg7HNYITJ06lcLCwkitVptfSXY2Ufv2RID4+uwzywXIGDPapEmT6K233rJ2GEREJJfL6ZVXXiEPDw8SBIF69+5NY8aMoX79+pEgCBQYGEh79+7VKaNSqahFixYkCAJt3bqViIiUSiUplUrts26vXr1IEAR68803tc8A5jA7IcjJyaHg4GASBIFatGhBY8aMIUEQyNnZmcaPH08PP/wwubm5kSAI5OvrSxMnTqSJEyeaHei93n//fe3DVUREBEVFRZFEIiEANHToUKOTguTkZJ0H+JYtW1J0dDR5enpqt02YMEFvfZqEwM/Pj3r27Kn39eeff5r1/mwhIdA8hAKgFi1a0IMPPkhRUVHk4eGh3R4TE0PZ2dnV1lOrP9z3MCYh0BwjCAJFRERQbGwsRUZGUrNmzbRxT548We9nxlBCkJaWRt7e3tqXpi5HR0ed7UeOHNEpp0kI3n33XXJwcKDmzZvTgw8+SIGBgdpz6UtMiIg6d+6srdfNzY0AkEQi0TnfkiVLTLuADYBaraaSkhJKT0+n1NRUkslkFv2MsKbt4MGDBICSkpLMq6CggKhLl7vJwAcfWDZAxpjRPv/8cxo0aJBF61SpVFRRUaH92Vg7duzQPicnJibq7Js9ezbZ29tTUFAQ3b59W7s9MzOTwsLCSBAE7Rd7mr9nSqWSiIhmzZpFgiBQTEwM/fPPP2a/L7MTgrlz55IgCNStWzcqKSkhIiJBECggIEB7THFxsTbQqVOnmh3kvY4ePaptcdi0aZN2+5kzZ8jf358A0LJly4yq6+rVqxQQEEBLliyhW7duaberVCpauXIlCYJAAGjlypVVymoSggkTJtT6Pd3LFhKCvLw8WrFiBQ0dOpRatWpFrq6u5ODgQAEBARQXF0dr164lhUJRYz1ZWVlUWlpqkZiMSQguX75M8fHx1KdPHwoJCSFHR0dq1qwZRURE0Lhx4+jAgQMGyxpKCG7cuFFjaxMASkhI0CmnSQgSEhIoKSmJ4uLiyMPDg5o1a0bdunWrtoUrLCysxvNVdx0aKqVSSVlZWdobNmOmUCqV5OfnRzNnzjS9cEkJUc+ed5OBOXMsHyBjzGh//vkneXt71+pLoaKiItq4cSONHTuW2rVrR126dKE333yTTpw4YVR5zbk13+TPnTtXu03zjKNWq6l3794kCAJ9+umnJJfLiYjo/PnzFBsbS4Ig0K5du4jobiKgKbt06VLtl++aZ2Jz3q/ZCUHnzp1JIpHQwYMHtdvuTQg0Xn31VZJIJPT999+bezodjz76KAGgKVOmVNm3ceNGAkDe3t7aC1qdsrIybUKjz4svvkgAKCoqqso+TgisLycnh7KysqwdhtVUTghsVWlpaZXuW4zVxosvvmh6t6GKCqJBg+4mA6+8UmfxMcaMU1paSvb29pSSkmJW+fLycm0LvOah29nZmQRBIDc3N/rpp5+M+uIyJyenyoO9pnVBU37BggUkCAL95z//oXPnzhER0c2bN2ns2LEkCAK99tpr2nJyuVybGMTHx5MgCOTk5ESzZs3SqdsUZs8ydO3aNQiCgIceekhnu1wur3Lsm//Ov7xq1SpzT6dVWFiI/fv3AxBXZ73X6NGj4ebmhtzcXCQkJNRYn5OTU7VTDWoGY165csXMiFldkclkKCsrMzgHP2u61Go18vPzkZKSgoKCAp4ulFnU6NGjkZqair/++sv4Qk8+Cfz6q/hz//7A5MnAuXOGX/w3hbE6V3lgsTnWrl2L+fPnIyIiAjt37sT58+dx8+ZNPPfccygqKsJzzz2HpKQkAOLfpXvRv5Ps3L59WzupRU5Ojs4+zQDitm3bAgAuX76snVAlICAA/fv3BwDs27cPv/32GyQSCaRSKezs7HDu3Dl88cUXcHV1RUVFBa5fv65TpynMnmVIoVDA3d1dZ7Szs7MzioqKqhzr7+8Pd3d3/P333+aeTuv06dOQy+VwcnJCly5dquyXSqWIiYnBgQMHkJSUVOvZVcrLywGg2gWKzp49i3HjxiErKwtubm7o3Llz7Ud7s2qVlJSgoKAAoaGhPFOMDVGpVLhz5w4qKirg7u6O0NBQSCQ8ezKzrN69e8PPzw/btm1DbGyscYV27Lj788GDQFRU9ceHhQEpKWbHyBgzTnR0NE6cOIHHH3/cpHLFxcXYsmULAOCNN97AsGHDtPuWLFkCQRDwzTffYN26dejSpYve50TN84mbmxt8fHwAQPuwf+8xmgQhJycH58+fByBOOzpkyBCsWLECFy5cwDPPPIO3334bzs7OuHDhArZs2YLCwkI8/fTT+Pbbb1FUVKRdu8BUZv8lDQwMhEwm05lz3d/fH0qlUpuhaCgUChQWFlpkcairV68CAEJDQ3WSkcoiIiJ0jq2N77//HgDQs2dPg8ecOXMGmzdvRkJCAn744QfEx8cjMjIS7733Xq3Pz6pSqVTIzs5GcHAwJwM2RiKRwMPDA+Hh4fD09ORkgNUJe3t7PP7449i2bVut5vVmjFlfdHS0WWuLJCUl4fjx44iKitI+A6pUKqjVanh6emLcuHEAgEOHDuHIkSMADK8D4OPjg5iYGADAL7/8gsLCQtjZ2QEQ/66VlJRg9erVAIDS0lJcu3ZNW7ZFixbYuXMnHnjgAZSUlOCVV17B888/j+XLl8PBwQEHDhxAp06d4ODgAEdHRxQWFpr8XoFaJAQtW7YEESE9PV27TfNmv/vuO51j161bB7VajaCgIHNPp5Wfnw8A8PT0NHiMZp/mWHP9+uuv2jnl//vf/1bZ7+HhgenTpyMxMRG3b99GeXk5Tp8+jfHjx0OlUmHu3Ln47LPPahUDq8rOzg5hYWHaf0ysaZLL5cjKykJWVpZ2myAI1bbWMWYpmm5DJ06cMK7A3dEDxr24dYCxetGxY0eze6iUl5fDwcEB7dq1g0qlgp2dnfaLqA4dOqB3795ITU3F77//DsBwVx0nJyeMHTsWLi4uuHbtGkaOHIkrV64gLy8Pp06dwpw5c3DgwAH06tULUqkUMplM+yW6Wq1GmzZtcOLECWzYsAGzZ89GfHw8tm/fjoSEBPTo0QO5ubmoqKhAWFiY2V1oze4yNGjQIBw8eBB79+7F1KlTAQDjx4/H999/j0WLFuH27dvo1KkTzp49i2+++QaCIGD48OHmnk5L04VH0xdLH83iTGVlZWafJy0tDU899RQAYNq0aejdu3eVY4YPH17lPXXq1AkbNmyAt7c3PvnkE8ydOxcTJkxA8+bNzY6FVcUtA6JDhw5ZOwSLIiIUFRUhPz8fdnZ28PLy4gSAWUXv3r3h6+uL7du3a7/sMopaLS5ExvcoxhqEBx54AJmZmcjOzoavr6/R5UpLSwEAubm5AFDlS0gfHx9ER0fj8OHDOHXqFJRKpcGeK0SEiIgIfPLJJ5g9ezYOHDiAqKgoODg4oLi4GAAwe/ZseHt748SJEyAiFBcXw93dXZuASKVSvc+dALTd9b29veHg4GBWtyGzWwiGDRuGkJAQHD58WLtt8ODBGDt2LJRKJb766iu8+OKL+PLLL6FQKNC2bVvMmzfP3NNpOTk5AdA/eFlDswS0uQ8SeXl5iIuLQ05ODvr27YuPP/7Y5DoWLFgAR0dHyGQyHDx40Kw4AHEQtakvzftvStRqNbKzs60dBqtDKpUKKSkpkMvlCAoKQnBwMJydnTn5Y1Zhb2+PwYMHG3f/PnkSeO45wNsbsLMDnJzEMQSffQZYoKssY8x8bm5uaNmypcmtBHK5HI6OjlCr1dqH9nu1bdsWLi4uSE5ORmZmpsG6BEEAEWHy5MnYtWsXZs2ahcjISPj4+GDgwIH46KOP8P7778PX1xfl5eVwc3ODu7u73roUCgUqKiq0CUtKSgr27duH5s2bo1evXgBgVndas1sI7rvvPqToafLcuHEj+vXrh61btyI9PR3u7u545JFH8MYbbxh8c6YwpjuQMd2KDCkuLsajjz6KCxcuIDo6Grt379a2OJjCzc0NHTp0wKlTp5CcnGxyeY2QkBCTy8yfPx/x8fFmn7OhISJkZGTAw8PD2qEwCyIiKBQKbWufnZ0dwsPDOQFgDcaSJUvg5uZm+ID8fHF2oX37gJAQYNo0IDQUqKgA/vgDeO014M03gc8/ByZMqL/AGWM6oqKi8Pfff2PAgAFGl/Hx8YGbmxtKS0uRkZGByMhIEJH24V4QBAQHB8PDwwMymQw3b95ESEiIwW/nNX/bevXqha5du2L+/PlVvrjWjMt1cHCAq6urtptSZVKpVOf3Dz/8EOfOncPQoUMxYMAAbWymMjshMEQQBDz//PN4/vnnLV01AKBNmzYAxC49hppnNIOaNccaq6KiAsOGDUNSUhLat2+PvXv31qqrj+Z/WuWB16ZKT0+v/g+SHuYkMA1ZVlYWXF1dudtVE6FUKpGfn4/i4mK4ubnB29tbu4+TAdaQVDulsUwG9O0L3LwJbN8ODB8utg5ovPwycOsWMHcuMHEiUFwMvPRSHUfMGNNHkxCYIiAgAJ6enkhNTcWNGzd0EgINLy8vuLq6ori4WGe8W3XUajWkUimkUqnOF2MqlQo///wz7OzstLNoapIBIsL58+fxzz//oH379sjIyMCVK1ewY8cOJCYmIjQ0VNubxdy/oxZPCOpa586dIZVKUV5ejlOnTlWZEk6hUGjnju7atavR9SqVSjzxxBM4ePAgIiIi8Ntvv2mniDKHSqXC5cuXAQDBwcFm1+Pm5mZyQtCU5OTkwM7OzqzWnobo3unFbAURobS0FHl5eSAieHp6wsfHhxMA1nhNmQKkpQFHjgAdOug/JjAQWLMG8PAApk8HoqOBbt3qNUzGmDiw+KeffjKpjK+vL0JCQnDlyhWcP38ejzzySJW/3ZqeLxKJRLsOgaYFQdNScO/fOU3rgWa/ppV8x44d2LdvH1xdXTFlyhSdMoIg4NatW3j22WerdJl//PHHsWLFilpP3GP2GAKJRGLSyVu2bGlwsIUp3NzcMHDgQADAmjVrquzftm0bCgsL4e3tjb59+xpVJxFh4sSJ2L17NwIDA7F//34EBgbWKs41a9agoKAAdnZ2RsfBRHPnzoUgCBAEAUuXLjVpEJC1EBF69+6tjVszBZmxsrKysGHDBrz88suIjY2Fo6MjBEHAc889VyfxlpWVYefOnXjrrbcwYMAAuLu7QxAEtG7duk7Op+mD6e/vj9DQUDRv3pyTAdZ4paaKrQIffGA4GdAQBODDD4E2bYAVK+onPsaYjqioKJw/f96kHhvNmzfH/fffDwBITEzU2af5++Xr64vMzEyo1Wpti6LmOcDOzk7v37msrCykp6dDIpFApVIhNTUV//d//4eZM2eirKwMX331FVxdXauUi46OxnvvvYdJkybhpZdewooVK5CUlIR169YhKCio9l80mry28b8EQaCAgACjjw8PDyeJRGLu6XQcOXKEBEEgiURCmzZt0m4/c+YM+fv7EwBasmSJTpnly5dTWFgYjRkzpkp906dPJwDk4+NDFy5cMCoGmUxGY8eOpaSkJJ3tSqWSVq1aRU5OTgSApkyZYsY7FOsHQDKZzKzyjdWFCxfIwcGBABAAevfdd60dklG++eYbbcwA6PDhw3qPi4yMpMjIyCrbly9frlNe85o8eXKdxHv69Gm952vVqpVF6i8tLaW8vDyL1MVYg/P220RubkTFxcaXWb6cSColysyss7AYY/oplUpydnamv//+26Ryu3fvJkEQyMvLiwoLC0mtVuvsz8nJIWdnZxIEgbKzs7XbU1NTacWKFTRv3jwqLCwkItKW3bNnD8XGxlJISAi1adOGvL29SRAECgoKolWrVpFKparluzVPvXUZksvlFltEqGfPnli4cCHmzp2LcePGYe7cuXB1dcW5c+egVqsxePBgvPHGGzplCgoKkJqaivDwcJ3tx44dw8qVKwGIsxJVN/ah8re+arUaW7ZswZYtW+Dh4aFtAbl69SoKCgoAAHFxcVjB3wgZjYjwwgsvQCqVolevXjh48GCj+BY5Ozsbs2fPRufOnZGdnY2bN28aPPbSpUt6t7u5ueHhhx9GbGwsYmNjsX//fu3nsi5IpVJ069YNMTExiI2NhUKhwKRJk2pVp1qtRkFBAQoLC+Ho6AgvLy8LRctYA/Prr+KYARcX48uMGycOMv7jD+CJJ+osNMZslVqtRlZWFlJTU7WvtLQ07c/l5eVYuHChdsFZYzz66KMICgpCRkYGVq1apX22pH/HEmzZsgUVFRXo0aOHzjPuiRMntIvTjhw5ElFRUVCpVLC3t0d4eDhatWqF9PR0yGQyBAYGYsyYMRg2bBgGDhxotQU36yUhKCgowJ07dyw6S8ycOXPQsWNHLF++HCdPnkRWVhYeeOABPPvss3j55ZeNXrSq8hSd6enpOgutVcfFxQVLly7F0aNHce7cOVy7dg1lZWXw9vbG4MGD8cwzz2D06NGN4oG2oVizZg0OHz6M9957D1euXLF2OEZ77bXXkJ+fj59//hljx441q45JkybpPJCbs6qiKTp06IBjx45pf6/NegYqlQq3b9+GXC6Hh4cHQkNDeQVh1qTk5eXht99+wxNPPCHe02UywNSujJrj//3CqFEx9u9Ynz5AE1sbhTVMycnJ+L//+z+dh/709HQoFAoEBAQgLCwMYWFhCA0NRVxcHMLCwvDll18iMjLSpPPY2dlhxowZiI+Px/z58xEQEIBx48ZBEARcvHgRn3/+OdRqNSZPngwvLy/tZDeaMXJ37tzBxYsXERUVpX0ejIyM1H5Z3JC6RBudEPz99984c+aMzraysjJs2LDBYBkiQkFBAbZv3w61Wq0dNW0pjz32GB577DGjjo2Pj9c7FWffvn3N6ncllUr1rl7MzKP5lr1NmzZ45ZVX8JKVZuOIj4/HggULMH/+fLz00ktYsGABfvrpJ2RkZOCpp57CunXrdI7fv38/Nm7ciOeffx7djBgsaOlBxX379sXvv/+OhIQEODs7Y8GCBTh27BgqKirQsWNHzJo1yyILAlZHIpHAy8tLu0YIY01NUlISxo4di6ioKLRr1w5wdgZKSkyr5N85w01qVWCM6VVcXIz09HS0bNkSffv2RWhoKMLCwhAcHGxwpsWzZ8/i/PnzJp/r1VdfRXZ2Nj788EM888wzWLFiBQRBwOnTp6FQKPDSSy9hxIgRAO7OCtSmTRssXrwY7u7u6N+/v84+iUTSoBIBDaMTgp07d+Ldd9/V2VZYWIhnn322xrKappXXX3/d9AiZTXj11VeRl5eHzZs3w6UB/MHMzs7Ggw8+iIyMDHTo0AHu7u5VWp3Ky8sxdepUeHt744MPPrBSpKLDhw9j0aJFcHBwQNu2bZGRkYFjx45hxIgR+Oijjyz2b6+iokK7zkeLFi0AiEkOJwOsKevbty8cHR2xb98+MSHo0gXYuxdQqXSnGq3Ozz+L/+3cue4CrWtTp4prLRjSAO7dzDZ06tQJ3377rUll2rVrh+3bt5t8LqlUijlz5iAyMhJbtmzB0aNHIZfLcd9992HcuHGYMmWKtgeM5ku/gICAWnfDrW9GJwSargAaqampkEgk1U6pKZFI4Obmhvvvvx9TpkzBQw89VLtoWZO0f/9+bNq0CWPHjsWgQYOsHQ4A4Ouvv0ZsbCwSExO1n/Hy8nKdYxYtWoTk5GSsXr3a6v3l3333XYwaNQqrV6+Gi4sLiAifffYZZsyYgdmzZ2PAgAHo2LGjWXUTEYqKipCfnw87Ozt4eXmZvQo4Y41Rs2bN0L17dxw6dAivvvqq+GC8dq2YFAwebFwlX3wB9O4NtG9fp7HWKT8/4N9ZVxhrbNq3b49Lly7pXeyrJu7u7pg8eTKGDh2K4uJiBAQENLkvwoxOCF555RW88sor2t81TR43btyok8CYbSgrK8Pzzz8PNzc3fPLJJ9YOR8ve3h7bt2/XmX628j/+ixcvYtmyZejRo0eD+BbAy8sLa9eu1cYoCAKmT5+OQ4cOYceOHfj444+xfv16k+tVKpVIT09H8+bNERwcbPJNlLGmom/fvlixYoU4d3hMDBATA8yeDfTsKa4zUJ0tW4DffwdMGMzIGLOsVq1aQalUIjU1FRERESaXJyL4+vo2yO4+lmD2yL/58+dXmcmHMVMtWrQIKSkpWLx4Mfz9/a0djtbAgQMNrkWhmQ1JpVLhiy++aBADxydPnqz324pp/zbv79u3z+i6Ki96opkRwcfHh5MBZtP69euH/Px8nD17Vtywfr24EvHDD4urFetDBKxbBzzzDDB+PDBqVL3FyxjTJZVK0aZNG1y8eNGs8g3hb31d4oSAWc3Fixfx4YcfokuXLpg6daq1w9HRrl07g/s0syG9/PLLZnfDsTRD8Wq23759G4WFhQbLq1QqAGKLQHFxsc6+pn4TZMwYXbt2hZOT090Zudq1Aw4cADIygIgI4MknxelIL18G/v4bWLlS7B707LNiMrBmjfGz9TDG6kS7du0MTv9t6yw+7ahcLsfevXtx+fJlODo6okuXLujVq5elT8MaOZVKhWnTpkGpVOLLL7+02DSVixcvxp49e6psX7lyJTqbMJjP0MDm/Px8zJ49GwEBAVUG2VuTZoXE6rYXFRXBzc1N+zsRobS0FHl5ecjJyQEgtghYezwEYw2Ro6MjevTogUOHDuG1114TN3buDFy4ILYCfPGF2DVIw94eGDEC+PJLcTrOppAMbNsGbN4MpKWJ769FC6BHD2DiRKBfP2tHx1iN2rRpg6tXr1o7jAbJ6ISgqKgIO3fuBACMGTNG77ROJ06cwMiRI6sszNS1a1fs2LFDOysJs22lpaXIzs7G6dOnIQgChg4dWuUYmUwGAFiyZAk+++wzhISE4K+//qqx7itXrlRZYrxyfbWVmpqKvLw8NGvWDPfdd1+V/dnZ2QCAYcOGQSqVYsyYMfWyOJ3mvNVtb968uc4+lUqF4uJi+Pv7N6juWow1VH379sVHH32kOyjRwwN49VVgxgzg0iUgNxdwdARatjR9rYKG7sIF3d+Tk8XXhg3iQm3r1gHu7taIjDGjtGnTBps3b7Z2GA2S0QnBgQMHMHHiRHTq1AnPPPNMlf137tzBo48+itzc3CpzrCclJWHo0KE4fvx47SNmjVpFRQVu376tnbFKs6iVIcXFxSguLjZ6NP+6deuqrBVQF8rKylBWVmZwf15eHgDLJSI1MdQnUrPd398f9vb2yM/Ph6enJwCxNYATAcaM169fP8ybNw9nz56tuq6ORNK4ZxCqjrMzMHQoMGAA0LYt4OoKZGeLA6W/+kpMgnbtAoYNA377DZBKrR0xY3q1bt2aWwgMMLqfxuHDhwEA48aN07t/yZIl2m4HEyZMQGJiIs6ePYvXXnsNRISTJ0+aNf8razqUSiVu3bqlna2moKAARKT3NWHCBADAwoULQURISUmxbvD/6tSpk8GYiQhhYWEAxH8vRFQvyQkgjmuovOq2xueffw4A6NGjBwoLC+Hs7Fwv8TDWFMXExKBZs2ZISEiwdij1KyND7Cr03HNAr15Ap07iYOpFi4Dz5++urfD772IXKcYaqNatWyM9Pb3KNOLMhITg+PHjEAQBjzzyiN79GzduhCAIGDJkCNauXYvu3bvjgQcewEcffYQJEyaAiPC///3PYoGzxkWlUuHmzZsICAiAlL89srjc3FxMnjwZJf+unqpUKrF48WLs3LkTdnZ2mDt3Llq0aGFwBUfGWM0cHR3Rs2fPuwOLbUV106r6+wPbtwMODuLvK1fWS0iMmSMwMBBOTk64fv26tUNpcIxOCDIzM2Fvb4/2eppEz58/jzt37gAAZsyYUWW/Zv2C06dPmxsna+QKCwvh6+vb5BbysJT09HT4+PhoX0uXLgUAfPfddzrb9Y2PAIB58+Zh27ZtCAgIQExMDMLCwjBnzhwQEd5///2q3RsAdOnSRVvvsGHDAAA3btzQGwdjTNS/f38olUprh9GwRESILQaAOKbg1i3rxsOYAYIgoHXr1khOTrZ2KA2O0WMIbt++DTc3N72zwWjGBjg4OOidUej++++HIAi4xTcJm6Xpt870U6lUyM3NrbK9oqJCpyuQQqHQW759+/bYtWsXVq5ciWPHjqGiogLdunXDrFmzMGLECL1l8vLyqpxTrVbrbCstLTXn7TDWZL311lt46623rB1Gw9O+PfDzz+LPGRmAgXVcGLM2nmlIP6MTApVKZXAe85MnTwIQ53d10DQbVj6JvT08PT3rbYAla/zqa3DwveLj4xEfH292+ZrGOtw74F4jPDzc4D5D9RQWFmr7Qbq6uuI///kP4uLiLBYrY4wZzYT7F2PWxC0E+hndZcjPzw9KpRLXrl2rsu/YsWMQBAExMTEGyxcXFxuc2501TXl5edUuhsXMo1QqkZKSAqVSqR0TwGMDGGNWVXlKUm4dYA1YeHg4UlNTrR1Gg2N0QqDpg7xq1Sqd7VevXsWZM2cAAH369NFbNjU1FXK5HMHBwWaGyRqbwsJClJaWVpn7npmOiCCXy7W/29vbIzw8HN7e3ryKMGPM+q5fF6cbBcTxBEFB1o2HsWqEhYVxQqCH0QnBk08+CSLC8uXLsWzZMly+fBkHDhzA6NGjQURwcXHBkCFD9Jb9448/AIhjCVjTV1paivz8fAQFBfEDay0oFArcuXMHKSkp2tmDNPi6Mmaj7twBfvoJmDcPiIsDfHzEVZAFQVwx2NJ+/BGobhD17dvAqFGAZnzTSy9ZPgbGLCg8PBwpKSkmddO1BUaPIRg9ejQ+//xz/PHHH3jzzTfx5ptvavcJgoDXX3/d4LfBW7duhSAIegccs6al8sJj/NBqOiJCSUkJ8vPzAYiDsX19fflaMsZE9b2Y4PTp4sP+yJFA9+5AeDjQrBmQkwMcOnR3YTJAXKOAEwLWwIWFhaG0tBS5ubnw8fGxdjgNhkAmpEgymQzjx4/HTz/9dLcCQcBzzz2HL7/8Uu8MRFevXkW7du1ARLh69SoiIiIsE3kTV1hYCHd3d8hkMri5uVk7HKMQEVJTUxEUFMRrDZhJqVQiLy8Pnp6efA0Za8B27doFf39/dO/evX5PXPnLgZAQoF074Ndfxd8nTAAsPRlDeDhgTPeKkSOB1aurX7OAsQbC19cXv/zyCx588EFrh9JgGN1CAADu7u7YvXs3kpOTteMGNHOeGyKVSvHDDz9AKpVyMtDECYKAsLAw/jbbSESEsrIyVFRUaKdltbe3h5+fn5UjY4zVZOHChYiKiqr/hGDePCAmRnz5+wMpKUDLlnV3vvXrxRWIjx0Txwrk5ACFhYCrq5iQ9OghJiL1fR0Yq4WwsDCkpKRwQlCJSQmBRuvWrdG6dWujjg0PD0d4eLg5p2GNECcDNVOpVCgoKEBhYSGaNWsGLy8va4fEGDNRTEwMjhw5Uv8nXrCgfs/Xp4/4YqwJ4ZmGqjJ6UDFj+hARsrOzeXCOEZRKJQRBgL29Pezs7BAWFoYWLVroXbuDMdawdezYEZcvX9ZZOLBJU6uBsjJeb4A1CTzTUFWcELBauX37Nuzs7MxuGZg4cSIEQaj2pVl8qyEJDw+vNuZu3bpVKVN5jI2Hh4fO71lZWdiwYQNefvllxMbGwtHRUTs+py6UlZVh586deOuttzBgwAC4u7trl3RnjNXs/vvvh1KpxJUrV6wdSt0pKhIHDXfqBEilgLOzOKB42DBg3z4xSWCsEQoKCkJGRoa1w2hQzOoyxBgA5OTkQCKRWKTLS5s2bQz2ndc3WL2hePDBB/UuCta2bVtkZmZCIpHA/99ZQSQSCSIjI/XWs2XLFrz22mt1Gmtlly9fxuOPP15v52OsqdFMo33u3Dk88MADVo6mDuzaJY4NKC4GhgwBpk4VE4KsLOC774BHHgGiooAffhAHHjPWiAQFBeHWrVvWDqNB4YSAmUUmk6GiogKBFlqR8u2338bEuphDu45t27ZNO0ZGrVajqKgIBQUFsLe3h4eHB5o1a6Zz/KVLl/TW4+bmhocffhixsbGIjY3F/v37sXLlyjqLWyqVolu3boiJiUFsbCwUCgUmTZpUZ+djrKnx9PREUFAQ/vnnHzz55JPWDseytm4FnnwSePxxYPlycfBwZTNnAomJYsLQo4c44LiayUUYa2gCAwO5heAenBAwk5WUlEAmkyEkJIQHEf9LoVDg5s2bcHNzQ3BwMOzs7EwqP2nSJJ0H8lOnTlk6RB0dOnTAsWPHtL8fOnSoTs/HWFN0//3349y5c9YOw7KuXQOeeQYYNw7YsAHQ10IrCOKaA0ePirMLjRwJ/PWX7pSojDVgQUFByMzMhFqtbtC9EOoTXwVmMqlUiuDg4CaZDMTHx0MQBMTHxyM7Oxsvv/wywsPDIZVKq23BkEqlCA8Ph7e3d7XJgGaMgaX07dsXgiDg0KFDOH78OAYPHgwvLy+4uLigR48e2LVrl8XOxRjT1SQTgi++EKcU/eYb/clAZf7+wNdfAydPAtaYcYkxMwUGBkKpVCI7O9vaoTQYnBAwkzk4OFg8o96+fTuGDx+O/v37Y+zYsVi5ciVkMplFz2GK7OxsPPjgg/jqq6/g7u6O9u3bw87ODgqFAnfu3IFSqQQgzkUeFxeHhx9+GM899xy2bt0KlUpV7/EePnwYDz30EP744w+0atUK7u7uOHbsGEaMGIGPP/643uNhzBY88MADuHHjBoqLi60dimWUlQFr1wKTJomDh40xYADQpo2YSDDWSDg5OcHLy4u7DVXCXYaYUZRKJZRKJZycnOqk/p9//lnn961bt2L+/PnYtGkTHnnkkTo5Z3W+/vprxMbGIjExEUFBQSguLkZmZiaysrLg6ekJe3vxn863336rU+7bb7/F/fffj127dqFVq1b1Fu+7776LUaNGYfXq1XBxcQER4bPPPsOMGTMwe/ZsDBgwAB07dqy3eBizBZqBxefPn0fXrl2tHI0FnDkD5OcDY8caX0YiEY//+us6C4uxuqCZaahLly7WDqVB4BYCViO1Wo2bN2/WyVoDrVq1wuLFi3H27FkUFhaiqKgIv/76K7p27Yr8/HwMHz4cJ06csPh5a2Jvb4/t27cjODgYKpUKZWVlaNmyJUJCQuDq6oqePXti7dq1uHz5MsrKynDnzh2sX78egYGBOHfuHAYNGlSvLRxeXl5Yu3YtXFxcAIhdk6ZPn47HH38cSqWSWwkYqwPt2rWDIAhNp9uQ5p7l62taOV/fu2UZayQCAwN5pqFKuIWAVYuIkJGRAR8fnyoz5ljCO++8U2Xbww8/jD59+uChhx7C8ePHMXv2bBw4cMDi59ZHk/T06dNHO4OSvb19lSlRN27cqPO7k5MTnnnmGfTu3RudO3fG9evX8emnn+p9f3Vh8uTJeltvpk2bhh07dmDfvn31EgdjtsTZ2Rlt27bF7du3jS9UWAjs2SMOwj1xAsjIALKzxe46Hh5A+/bAo48CkycD3t51Frte/36hgKIi08oVFd0ty1gj4e/vz2MIKuEWAmYQESEzMxPNmzeHq6trvZ7bwcEBCxcuBCDOgJOfn1+n51OpVMjNzUVBQQEAcRYec4SHh2Pq1KkAgB07dlgqvBq1a9eu2u23b99GYWFhvcXDmK04f/483n77beMLHD8uTun58cfAH3+Is/oUFgIKhZgY/P47MHs20LatuPhXferQAXB0BH76ybRyP/4IREfXTUyM1RE/Pz/cuXPH2mE0GNxCwAzKycmBVCqFh4eHVc7fvXt3AGKXpevXryPaiD84ixcvxp49e6psX7lyJTp37lxlu1KpxO3bt6FUKuHh4aF9r25ubrWOOzk52ew6TGVoUbfK24uKimr1vhhjVZk1a1hICNCvn/gQHRICBASIq/7evAls3w7s2AHk5ABDh4otCVFRlg9cHy8vcTzAV1+Jaw0YM33yqVPAn38CO3fWfXyMWZCfnx9Onjxp7TAaDE4ImF5EpF1cy1qkUqn2Z82sPjW5cuUKEhMTq2w31J9fIpHAx8dHu9qwJaYE1cRtbMyWYKjZs/L25s2b11c4jDFD+vUD0tIM73/iCXGV4BEjALkcWLAA+N//6i08vPQSsH498P77wNy51R9bXg7MmAGEhgKPPVY/8TFmIb6+vtxCUAknBEwvQRDg6elp1RjOnz+v/Tk4ONioMuvWrcO6dev07isvL0deXp7OmACJRKJNBixFE7exMVvCxYsXq93u7+/PrQOMNQTGfOs+fLjYZejSJbFbUWVHjgCVWx9zcu7+nJwM3Hv/M3UF+JgYMQl55x1ApQLefhuo9OWM1p07YtenkyeBhATAnh8nWOPi5+fHYwgq4X/BTIdKpTJ5ld268tFHHwEA2rZti6CgILPqUKvVKCwsREFBARwcHODp6Vkng6M1SktL8dVXXwEABg4cWGfnudeaNWswb968KsnNF//ODT5o0KB6i4UxZgGaQbrl5Xe3zZoFLFtmuExioviqzNSEABCTATs7sYXgq6+A558H4uLEmLKygO++A7ZuFX/ftw/o1s30czBmZTyGQBcPKmZacrkcaWlpdTK9qD6//fYb3nrrLdy4cUNnu0wmw4wZM7B582YAwLx588yqX6FQIDU1FWq1GiEhIQgMDLRIMvDRRx/hyy+/1A5A1rh+/ToGDx6M5ORkODs7Y+bMmbU+l7Fyc3MxefJklJSUABC7fH3xxRfYsWMH7Ozs8Prrr9dbLIyxWrp4UVwTABBbCgDg7Flg+fL6Ob8gAHPmAH//LXZdWr4c6NED6NgR+M9/xFaKRYuAK1eA3r3rJybGLMzPzw85OTlWWUy0IeIWAgZA7O+ekZGBoKAgi/SjN0ZJSQk++OADfPDBBwgKCkJgYCAUCgUuXLgAuVwOQRAwb948PPnkk0bVR0RQKBRwcHAAIE4XGh4ebvH3k56ejhUrVuDll19GREQEvL29UVBQgCtXroCI4Orqis2bN5u0MFl6errOoOfS0lIAwHfffYddu3Zpt//www/o2bNnlfLz5s3DokWLsHv3bkRGRuLWrVva+ZXff/99dOrUqUqZLl26IO3fvswKhQIAcOPGDfj4+GiPmTVrFmbNmmX0+2DMFt24cQNEhIiICPMrKS0VpyD98Udg6VKxuw4AvPKKOOD4+ecBpRLw8xO76wBiV52+fWsdv0EPPCCuQLx0KXDjhhijh4e4MrGFV6tnrL75+vpCrVYjLy8PvqauvdEEcULAtAuPBQQEaB+m60N0dDTmzJmDY8eOITk5GefOnQMRISgoCA899BCmTZtm1Oqfcrkc+fn5KC0thaenp/Y91FViM3bsWKjVaiQlJSE9PR1paWlwcHDA/fffj//85z+YPn06QkNDTapTM+3pvSoqKlBRUaH9XfPgfq+HHnoIhw8fRnx8PI4dO4aKigp069YNs2bNwogRI/SWycvLq3JOtVqts02TmDDGDHvyySfRrl07rF271rSC69YBzz5reP/MmcBTTwErVoizDd13H9C5s9hdB6h+cLIlubqKyQFjTUizZs3g6OiI/Px8TggACFRf/UOYSQoLC+Hu7g6ZTFang0GJCOnp6fDy8qr3tQZqg4hQXFyM/Px8CIIALy8vODs711vrRkPRt29f/P7770hISEDfuvymkDFm0Lhx45CRkYHff//dtIKGEoJOncS++127AunpQLt2QEmJ2Gf/326BWn36ANOmAaNG8bf2jJkoICAAu3btMurLx6aO7x42rri4GO7u7o0qGQDELk7l5eUIDAxESEgIXFxcbC4ZYIw1DOHh4UhNTTW94PDhwD//iK/jx4HNm8U++2fOiC0DP/0EjBwpJgGOjsD06eK0oBrvvAMQAWPGiNOVVh6AzBirkaenZ50vfNpYcEJg45o3bw53d3drh1EtIkJJSYnOP1qpVApfX1/Y81R3jDEra9GiBbKyskyfkMHDA7j/fvEVEyMuCrZjB7BhA3D9+t2FyaRS4PJlcW2ASmN80L+/uLLxrl3Anj3A00+L4w0YY0bhhOAuTghYg6VSqZCTk4OUlBQUFxfDRTMNH2OMNSABAQGoqKgwuACiycaPF5MBTYLxwQdAWJjh44cNE1sX/vc/caVjxphROCG4ixMCG1RYWIi8vDxrh2GQUqnEzZs3cfPmTTg4OCA8PBz+/v71OuCZMcaM1aJFCwBAZmam5Sq9fv3uz/7+NR8/bBjw0EPirECMMaNwQnAX97ewMaWlpcjPz0dISIi1QzFIIpHA19fX4isIN0WHDh2ydgiM2byAgAAAQFZWFtq1a1f7Co8cEccVaBg7m9C0aeLqwZcu3V2/gDFmECcEd3ELgQ2pqKjA7du3ERwcDEkDmY2ivLwct27d0lktUCKRcDLAGGs0LNpCIJcDU6bobjN20gfN6ugXL9Y+DsZsACcEd3ELgY1QKBS4desWgoODYWdnZ9VY1Go1ZDIZZDIZHBwc4OXlBScnJ6vGxBhj5nJ1dYWLiwuysrJqX9nixVUf6I1dA0BzHy0rq30cjNmA5s2bo7i42NphNAgN42tiVqeICJmZmQgMDIRUKrVqLHK5HGlpaSAihIaGIjAwkJMBxlijFxAQYFwLwbp1hqcHvXRJnEmosvBwoFcv44K4eVP8r5eXccczZuNcXV05IfgXtxDYAEEQrNZNiIggl8u1XYCkUinCw8PrPQ7GGKtLmqlHaxQfD7zxhri+QK9eQKtWYpegoiLgrbfELkOVjR6tO3PQuXN3fz54ENCcc8gQYP16wN1dHFzMGKsRJwR3cUJgI+o7GZDL5cjPz0dpaSm8vLy0CQEvHsYYa4qMbiEAgLw84JtvxFdNli0zvG/hwrs/X7gArF4NTJggrmjMGKsRJwR3cULQhOXm5sLT07PekgEiQnFxMfLz8yGRSODp6Qk/Pz9OAhhjTd78+fOhVCprPvDAAWD/fiAhQRwrcPs2kJsr9v8XBLGlwByvvgqUlgIvv2xeecZsECcEd3FC0ETl5uZCqVTWa8uAUqlEeXk5AgMDeQVhxphN6dChg3EHtmolvl54oeZjS0rEmYPOnQM+/FBciXjZMmDBAnF/QoLY3ejNN8Wf//c/oE0b898EYzaGE4K7eFBxEySTyVBeXg4/P786O0fl1gANqVQKX19fTgYYY8wSXFzE1oShQ4GpU4GgIGD37rv7X3wRiIkBkpOBvXvFcQSMMaNxQnAXJwRNTElJCWQyGQIDA+ukq45SqUROTg5SUlJQWloKV2Pnx2aMMVuXlgbMnQv06QN07gz07g3MmgVcu2a4jIsLsHGjuHLxtGl3ZxICAE9PMUG4dg3o37/u42esidEkBERk7VCsjhOCJqS8vBzZ2dkIDg62eDKgVCpx8+ZNZGRkwMHBAeHh4fDz87P6NKaMMdbg5eWJswW1bAl8+ikQEAB07w6EhIgDgdu0Eb/dr26WovBwcY2CadPubnv/fbGcldeWYayxcnJyglqtNm78TxPHfTuaEHt7+zqbXlQikcDPzw8ODg4Wr5sxxpqsO3fEFoHsbODzz8VxAJVbVktLga1bgTlzxCTh99+B0FDrxcuYDdHMgFhRUWHzX3ByC0EDVVFRofNfY9jb21uk/35ZWRkyMjKQnZ2t3SaRSJpsMlBRUYH4+HiTrjUzH1/v+sPXun5Vud5qNTB8OFBQABw7Jvb5v7ebpbMz8OyzQFKS+PvgwYBCYfgk8fEAkfjq29fyb6KR4M92/Wqq17tyQmDrBOKOUw3SzZs3ERISgvT0dAQHBxs8Tq1Wo6KiAs2aNavV+dRqNWQyGWQyGRwdHeHp6WkzKwgXFhbC3d0dMpkMbm5u1g6nyePrXX/4Wtef5ORkDBs2DBcuXLh7vX/7DRg0SJxq1Jg+/idPAg8+CMyYAURFiSsO9+sHeHjUefyNDX+261dTvd4qlQr29vbIyMhAYGCgtcOxKu4y1IgRETIyMuBRyz8Wcrkct27dgru7O0JDQ62yojFjjDVmdnZ2uHDhgu7GL74AHnhAfKivjlIJfPedeDwgjjPQcHYGxo0T1xkwdmpTxphR7OzsYGdnxy0E4C5DjRYRISsrC66urmjevLlJZTWtChpSqRTh4eH1uogZY4w1JVW+NZXLgR9/BCZPFhccM6SkROxW9OyzgLe32DoAiAuWpaaKawz88gsQHQ1s315n8TNmq5ycnFBeXm7tMKyuUT/97dmzBwMHDoSXlxdcXFzQpUsXrFy5Emq12qz6jh07hmHDhsHX1xfNmjVD+/btsXDhwho/KBcvXsRTTz2FgIAAODk5oVWrVpg5cyYKCgrMisMYOTk5sLOzg6enp9Fl5HI5srKykJqaqvOeeCVhxhirnSpdLAsKAJVKnB3IEJUKGDsWOHRIXEfgl1+Axx+/Wz40FHjnHXFa0ccfF4/du7du3gBjNsrR0dGsFoKUlBSsXr0aU6ZMQadOnSCVSiGRSLB48eJaxaN5FvXz84OzszM6dOiARYsW1X0rBjVS77//PgEgABQREUFRUVEkkUgIAA0dOpRUKpVJ9X333XdkZ2dHACgoKIg6d+5MUqmUAFBMTAyVlJToLXfw4EFq1qwZASBfX1/q0qULOTs7a+PKysoy6/2lp6cTAEpPT6+yLz8/nzIyMkitVtdYj1qtJplMRqmpqZSenk4lJSVGlbMlMpmMAJBMJrN2KDaBr3f94WtdfyoqKrR/k2QyGVFenjj0d9s2w4U2bRKP+eWXu9t+/VXcduOG7rEKBdEjjxAFBYk/2zj+bNevpny9AwIC6M8//zS53KuvvkqCIJBEItF5vffee2bH8t1335G9vT1JJBIKCQmh6OhocnR0JEEQqGvXrlRWVmZ23TVplC0Ex44dw9tvvw2JRIJNmzbh2rVrOHv2LE6dOgV/f3/s3r0bH3/8sdH1paSkYPLkyVCpVFi6dCnS09Nx6tQpXL16FZGRkfjrr78wa9asKuWKioowZswYlJWVYcaMGcjIyMDJkyeRlpaGnj174vr165g8ebIl3zoAsctPQECAUd/sKxQKyOVyBAYGIjg4GM7OztwiwBhjFlZlykJ3d8DHB0hMNFzoiy/EwcaPPHJ329Gj4mJk/v66x9rbi+sOZGSIXZEYYxZhZ2cHlUplcjkfHx8MGTIECxcuxC+//ILHNa17ZkpNTcVzzz0HtVqNZcuWIS0tDSdOnKjxWdRi6izVqEOPPvooAaApU6ZU2bdx40YCQN7e3iSXy42qb9q0aQSABg0aVGVfYmIiASCpVFrl2/6lS5cSAGrXrh0plUqdfampqWRvb08A6OTJkya8O1F1LQSGqNVqKioqory8PJPPZ8ua8jcfDRFf7/rD17p+aVqptdd79mwiDw8ifS3MFy6ILQHbt9/dJpcTBQYSvfCC4ZN07y62FNg4/mzXr6Z8vcPCwujw4cO1rmfixIm1aiGYNm0aCYJAcXFxVfYdPXqUBEEgR0dHunPnTm1D1avRtRAUFhZi//79AKD32/fRo0fDzc0Nubm5SEhIqLE+IsLOnTsN1tejRw+0bdsWCoUCP/zwg86+HTt2AAAmTpwIu3tWigwNDcXAgQMBANstMBCsuuxVqVQiJycHKSkpKC0theu981wzxhirc1VaCV54AZDJgA8/rHrwpUvif/v0ubvtiy+AW7eAqVMNn6RPH+Dy5doHyxgDIK6zZE4LgaXt2rULgiBg0qRJVfZ1797d4LOopTS6hOD06dOQy+VwcnJCly5dquyXSqWIiYkBACRpFnqpRlpaGjIzMwEAPXv21HuMZnvl+pRKJU6ePGlyOXMolUqkpaVV+cAqFArcvHkTt27dgoODA8LDw+Hn52fzq+0xxpg1VLn3tmwJzJsHzJ+vO5UoAGgGCP67MBLWrgVef12cZahjR8MncXK6W5YxVmt2dnZmT0ZjKcY+ixJRrZ8pDWl0CcHVq1cBiN/AG1qVNyIiQudYY+pzdHQ0uCiFvvpSUlKg+Hc1Sc3+2sRhiFqtxs2bNxEQEFClFcLOzg5+fn4IDQ2Fm5sbjw1gjDEr0vtlzPz5wMyZwCuvAD17Ahs3AuXl4hSjAPDNN+I6BZMmiVOU1jT+LS1NXLCMMWYRDaGFoPKzaEBAgN5jLPFMWZ1GlxDk5+cDQLXTbWr2aY41pj4PDw+DD9T66qv8s6FYTInDkMzMTPj4+GgXIcvOztbuk0gkcHBwMLtuxhhjlnPvlzYAxDUIli0Ddu8GmjUDnn5a/O/w4eL+N94Qpx/9/nvg668BfXVoFBUB27bdLcsYq7WG0EJQ+VnUEEs8U1an0a1UrJk/v7oHYcd/m2DLysrqrL7K8/gbKmtKHPciIgDiBzUnJweOjo7w8fHR1skYY6xhqba75pAh4uvyZeDwYaCwUFxT4Phx4OefAWMWmFy/XlzIbMoUywXNmI1rCC0Eln62NUejSwg0i7/I5XKDx2gWb2jWrFmd1Vd5ERrNmIbaxHGvoqIiAIBMJoOfnx9UKpVO60B1HB0dOXEwQWFhoc5/Wd3i611/+FrXr379+mHTpk3VX++AAOCJJ8SfH34Y6NFDXHRs40ZxfIAhSUnAf/8rLk7m7i4mFDaMP9v1q7Fc74qKCpMX8FKpVMjPzwcRWa3rtaWfbc3R6BICY5pMjOlWdG99BQUFBj8M+uqr/HN+fr7ePl+mxHEvzYdDM1MRq3shISHWDsGm8PWuP3yt65fJ13v//qrrDhiyaZP4YgD4s13fmur1fuqpp/DYY4/Bzc3NKuev/CxqSG2eKY3R6BKCNm3aABBHZCuVSr0Di69fv65zrDH1VVRU4NatWwgKCjKqvvDwcEilUigUCly/fl1vQmBKHPcKDw/HtWvXIJVKTc5YuYWAMcYakePHxalGk5OByEigb19x9qFbt4CffgIUCuCpp8SxCNW1IjBm48xpIQDE56bmxnTbqyOVn0UzMzMt/kxpjEaXEHTu3BlSqRTl5eU4deoUYmNjdfYrFAr89ddfAICuXbvWWF9oaChatGiBrKwsJCYm4glNU24lif+uNFm5Pnt7e3Tp0gVJSUlITEzUO02UvnLGkkgkBmcvYowx1oQMHAhcuQIkJIgDixMTgbIycTahOXPE2YcMzDzCGGv8NM+it2/fRmJiIkaNGlXlmMTERAiCYNYzpTEa3SxDbm5u2m40a9asqbJ/27ZtKCwshLe3N/r27VtjfYIgYMSIEQbrO3r0KC5dugSpVIqhQ4fq7NMsU71u3boqA1LS0tK0C6iNHDmy5jfGGGPMdgkC0L8/sHUr8M8/YmvB8ePA3LmcDDBmA0aMGAEiMvlZ1FIaXUIAAHPmzIEgCFi9ejU2b96s3X727Fm8/vrrAIBZs2bpjNb+5JNPEB4ejrFjx1ap77///S8cHBzw66+/YtmyZdoZflJTU7Urxj333HNo0aKFTrkXX3wRPj4+uHjxIl5//XXtugS5ubkYN24clEol4uLiEB0dbdkLwBhjjDHGGpUVK1agZcuWGDduXJV9lZ9FP6y0urnmWVQQBDz//PPw8/Orm+CokVq0aBEBIAAUERFBUVFRJJFICAANHjyYlEqlzvHz588nANSnTx+99a1fv15bPigoiDp37kxSqZQAUHR0NBUXF+stt3//fnJyciIA5OvrS9HR0eTs7EwAKDw8nDIzMy391hljjDHGmBUlJiaSt7c3+fj4kI+PDzk5OZEgCOTi4qLd5uPjQzdv3tSWiY+PJ0EQqF+/fnrr3LBhA9nb25MgCBQcHExdunQhBwcHkkgkFBsbS6WlpXX2fhplCwEgthL8+OOP6N+/P3Jzc5GcnIwHHngAn3zyCX744Qf9C8RU45lnnsHhw4fx2GOPoaysDBcuXEBERATi4+Nx5MgRuLi46C03YMAAnDhxAmPHjoUgCPjnn3/g7++P119/HadOnarSqsAYY4wxxho3hUKB/Px85OXlIS8vD3K5HIIgoKysTLstPz+/SpdyQRAMThYzfvx4HD58GEOGDEF5eTkuXryIVq1aYcGCBTh8+HCdTTkKAALRv/1jGGOMMcYYYzan0bYQMMYYY4wxxmqPEwLGGGOMMcZsGCcEjDHGGGOM2TBOCCxoz549GDhwILy8vODi4oIuXbpg5cqVUKvVZtV37NgxDBs2DL6+vmjWrBnat2+PhQsXory8vNpyFy9exFNPPYWAgAA4OTmhVatWmDlzZrVLYjc2lrrWp0+fxrx589CnTx/4+PhAKpXCz88PcXFx2Llzp8Fy69at0w4MMvTau3dvbd9mg2Gp6x0fH1/jdbt06ZLB8vzZNl5N11nzWr9+vU45W/tsA+LK8Pe+RycnJ7Rs2RJPP/20drHLe02cONGoazxx4kSTyw0fPrzu33g9uXHjBr755hs8//zz6NixI+zt7SEIAhYtWmRWfXzfrp6lrzfft21Do1upuKH64IMP8NZbbwEAIiIi4OrqirNnz2LGjBnYv38/du7cCYnE+Pxr48aNmDBhAlQqFYKCghASEoJz585h3rx5+PHHH3Ho0CE4OztXKZeQkIDBgwejrKwMvr6+6NChAy5duoSPPvoIO3fuxNGjR+Hv72+x920NlrrW165dQ5cuXbS/t2zZEuHh4bh+/Tr27t2LvXv3YsKECfj2228N1ufn52dwGXFPT08z3l3DY+nPNgCEhIQgNDRU7z59n2uAP9umXmt9q6dr5Ofn48KFCwCAbt266T3GFj7b92rTpo12jm+ZTIbk5GRs3LgRW7Zswdq1azF+/Hi95aq7VgBw3333mVyuffv2JkbfcK1YsQIrVqywSF18366ZJa93ZXzfbuLqbEJTG3L06FESBIEkEglt2rRJu/3MmTPk7+9PAGjZsmVG13fjxg1ydHQkALR06VJSq9VERJSSkkKRkZEEgF566aUq5QoLC8nX15cA0IwZM0gulxMRUU5ODvXs2VO7RkNjZslrffXqVQoICKAlS5bQrVu3tNtVKhWtXLmSBEEgALRy5coqZdeuXUsAaMKECbV+Tw2ZpT/bmvVA5s+fb1Ic/Nk2/VpXZ86cOQSAYmNjq+yzlc92ZWFhYQSA1q5dq7M9Ly+PRo0aRQCoefPmlJeXp7N/woQJZl0rc8s1VgsXLqTHHnuM3n33Xfrll19o5MiRBIAWLlxocl18366ZJa83Ed+3bQUnBBbw6KOPEgCaMmVKlX0bN24kAOTt7a39x1CTadOmEQAaNGhQlX2JiYkEgKRSKWVlZensW7p0KQGgdu3aVVmYLTU1lezt7QkAnTx50oR317BY8lqXlZVRSUmJwf0vvvgiAaCoqKgq+2zlD4ulP9vm/mHhz7bp19oQtVpN4eHhNv/QVJmhhICISCaTkYuLCwGgLVu26OzjhMA8mvdvzgMq37dNV5vrTcT3bVvBYwhqqbCwEPv37wcATJ48ucr+0aNHw83NDbm5uUhISKixPiLS9oHUV1+PHj3Qtm1bKBQK/PDDDzr7duzYAUDsn3rvwmyhoaEYOHAgAGD79u1GvLOGx9LX2snJyWAzJwAMGjQIAHDlyhUzI27cLH29a4M/25a71ocPH0ZKSgqkUinGjh1bq7psgZubm7bLT0pKinWDYXzfbkSa+n27qeGEoJZOnz4NuVwOJycnnX6NGlKpFDExMQCApKSkGutLS0tDZmYmAMN9gDXbK9enVCpx8uRJk8s1Jpa+1jXRDN6ubmXAs2fPYty4cejfvz+GDx+OBQsW4Nq1a7U+d0NQl9c7ISEBo0ePRv/+/TFq1CgsXboUWVlZeo/lz7ZlP9vfffcdAOCRRx6Bj4+PweOa8mfbVKWlpQAM95NmDYet37frEt+3mzZOCGrp6tWrAMRs195e/xjtiIgInWONqc/R0RGBgYFG15eSkgKFQqGzvzZxNESWvtY1+f777wFUPzjzzJkz2Lx5MxISEvDDDz8gPj4ekZGReO+992p9fmury+v9xx9/YPv27UhISMD//vc/zJ49GxEREVi3bl2VY/mzLbLEe6yoqMC2bdsAwOAAWY2m/Nk2xdWrV7UPi506dbJuMKxGtn7frkt8327aOCGopfz8fADVz0yg2ac51pj6PDw8IAiC0fVV/tlQLKbE0RBZ+lpX59dff8WuXbsAAP/973+r7Pfw8MD06dORmJiI27dvo7y8HKdPn8b48eOhUqkwd+5cfPbZZ7WKwdrq4noHBATg7bffxl9//YXc3FyUlpYiMTERcXFxKCsrw6RJk/Djjz/qjaO6WPizbZwff/wRBQUFcHd3x5AhQ/QeYwufbWNounENHz4cSqUSPXv2xEMPPaT32PXr11c7JaPmXmJKOWY6vm/XDb5v2waedrSWNM2TDg4OBo9xdHQEAJSVldVZfZXXJjBU1pQ4GiJLX2tD0tLS8NRTTwEApk2bht69e1c5Zvjw4VXmCe/UqRM2bNgAb29vfPLJJ5g7dy4mTJiA5s2bmx2LNdXF9X7hhReqbOvRowd+/vlnjBw5Ejt37sRrr72Gxx57TPtQxJ9tkSXeo6a70OjRo+Hk5KT3GFv4bBvy7LPP4tlnn9XZJpFIMGbMGHz55ZcGy9U07ai3t7dZ5Zjx+L5dd/i+bRu4haCWNH9U5XK5wWMqKioAVN+nsbb1Vf7jbqisKXE0RJa+1vrk5eUhLi4OOTk56Nu3Lz7++GOT61iwYAEcHR0hk8lw8OBBs+JoCOrjemsIgoAPPvgAgDjP+N9//10ljupi4c92zXJzc7Fnzx4AwDPPPGNWHU3ls21ImzZt0LNnT/To0UPbnUEzfqO61pu4uDgcOXLE4MtQy0J15Zjx+L5tHbZ+325qOCGoJWOavIzpDnBvfQUFBSAio+ur/LOhWEyJoyGy9LW+V3FxMR599FFcuHAB0dHR2L17t/YbDFO4ubmhQ4cOAIDk5GSTyzcUdX2973XffffBy8sLgO514882dPaZ+x63bt0KhUKB8PBw9OrVy6w6mspn25C3334bR44cQWJiIq5du4YjR46gefPmmDlzprZ1hTUsfN+2Llu+bzc1nBDUkqa5Ny0tDUqlUu8x169f1znWmPoqKipw69Yto+sLDw+HVCrV2V+bOBoiS1/ryioqKjBs2DAkJSWhffv22Lt3b62ajDX/LwzF2RjU5fU2RN9148+2qLbvUfNA+/TTT9eqj3pT+Gwbq2fPnvjmm28AAK+88goKCwutHBGrjO/bDYOt3rebGk4Iaqlz586QSqUoLy/HqVOnquxXKBT466+/AABdu3atsb7Q0FC0aNECAJCYmKj3GM32yvXZ29trpys0pVxjYulrraFUKvHEE0/g4MGDiIiIwG+//VbtdIw1UalUuHz5MgAgODjY7Hqsra6utyE5OTm4c+cOAN3rxp/t2l/ra9eu4dixYwDEhMBcTeWzbYrhw4ejW7duyMvLM6srCqsbfN9uGGz5vt3UcEJQS25ubtrFNdasWVNl/7Zt21BYWAhvb2/07du3xvoEQcCIESMM1nf06FFcunQJUqkUQ4cO1dn3+OOPAwDWrVsHlUqlsy8tLU278NHIkSNrfmMNkKWvNSAuBDdx4kTs3r0bgYGB2L9/v8HpXo21Zs0aFBQUwM7Ozug4GqK6uN7V+fjjj0FEcHd31865r8Gf7dpd6//7v/8DAMTGxiIyMtLsOJvKZ9tUb775JgDg008/RXFxsZWjYXzfbjhs+b7d5FhzmeSm4siRIyQIAkkkEtq0aZN2+5kzZ8jf358A0JIlS3TKLF++nMLCwmjMmDFV6rt+/To5ODgQAFq6dCmp1WoiIkpJSaHIyEgCQFOnTq1STiaTkY+PDwGgGTNmkFwuJyKinJwc6tmzJwGguLg4S771emfpaz19+nQCQD4+PnThwgWjYpDJZDR27FhKSkrS2a5UKmnVqlXk5OREAGjKlClmvMOGxZLX+9y5czR16lQ6d+6czvaysjJ67733SCKREABavHhxlTj4s236Z7uy1q1bEwBauXJltcfZ0me7srCwMAJAa9eu1btfrVZTu3bttPdkjQkTJhAAmjBhgknnM7dcU6F5/wsXLjR4DN+3Lac215vv27aDEwILWbRoEQEgABQREUFRUVHafyiDBw8mpVKpc/z8+fMJAPXp00dvfevXr9eWDwoKos6dO5NUKiUAFB0dTcXFxXrL7d+/X3tj8/X1pejoaHJ2diYAFB4eTpmZmZZ+6/XOUtf66NGj2npCQkKoZ8+eBl+V5efna8t5eHhQ586dKSYmhjw8PLTb4+LiqKysrK4vRb2w1PU+ffq0th7NZ7Py5xMATZ48WZsA34s/26bfR4jufs6lUillZ2dXe35b+2xr1JQQEBGtWbOGAFCLFi2071/zoOXn51ft/WPixIk6ddlaQnDkyBHy9vbWvhwdHQkAOTs762xPS0vTluH7tvkseb35vm07OCGwoB9//JH69+9P7u7u5OzsTB07dqRPPvmkyh9xIuP+kCcmJtJjjz1GXl5e5OjoSJGRkRQfH1/jDevcuXM0duxY8vPzIwcHB2rZsiW9/vrrlJeXV9u32GBY4lonJCRob2g1vSqTy+W0dOlSGj58OLVu3Zrc3NxIKpVSixYtaPDgwbR161aDN8fGyhLXOz8/nxYuXEhxcXHUsmVLcnV1JQcHBwoODqZRo0bR3r17a4yDP9u6jLmPTJ06lQDQkCFDajy3LX62iYxLCCoqKigwMJAA0Oeff05Edx/sa3p17NhRpy5bSwiMvdfeuHFDW4bv2+az5PXm+7btEIgMzG3JGGOMMcYYa/J4UDFjjDHGGGM2jBMCxhhjjDHGbBgnBIwxxhhjjNkwTggYY4wxxhizYZwQMMYYY4wxZsM4IWCMMcYYY8yGcULAGGOMMcaYDeOEgDHGGGOMMRvGCQFjjDHGGGM2jBMCxhhjjDHGbBgnBIwxxhhjjNkwTggYY4wxxhizYZwQMMYYY4wxZsM4IWCMMcYYY8yGcULAGGOMMcaYDeOEgDHGGGOMMRvGCQFjjDHGGGM2jBMCxhhjjDHGbBgnBIwxxhhjjNkwTggYY4wxxhizYZwQMMYYY4wxZsM4IWCMMcYYY8yGcULAGGOMMcaYDeOEgDHGGGOMMRvGCQFjjDHGGGM2jBMCxhhjjDHGbBgnBIwxxhhjjNkwTggYY4wxxhizYZwQMMYYY4wxZsM4IWCMMcYYY8yGcULAGGOMMcaYDeOEgDHGGGOMMRvGCQFjjDHGGGM2jBMCxhhjjDHGbBgnBIwxxhhjjNkwTggYY4wxxhizYZwQMMYYY4wxZsM4IWCMMcYYY8yGcULAGGOMMcaYDeOEgDHGGGOMMRvGCQFjjDHGGGM2jBMCxhhjjDHGbBgnBIwxxhhjjNkwTggYY4wxxhizYZwQMMYYY4wxZsM4IWCMMcYYY8yGcULAGGOMMcaYDeOEgDHGGGOMMRvGCQFjjDHGGGM2jBMCxhhjjDHGbBgnBIwxxhhjjNkwTggYY4wxxhizYZwQMMYYY4wxZsM4IWCMMcYYY8yGcULAGGOMMcaYDeOEgDHGGGOMMRvGCQFjjDHGGGM2jBMCxhhjjDHGbBgnBIwxxhhjjNkwTggYY4wxxhizYZwQMMYYY4wxZsM4IWCMMcYYY8yG/T/xWcI/o0jsVAAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Create figure and Taylor Diagram instance\n",
-    "fig = plt.figure(figsize=(8, 8))\n",
+    "fig = plt.figure(figsize=(12, 12))\n",
     "taylor = gv.TaylorDiagram(fig=fig, label='REF')\n",
     "ax = plt.gca()\n",
     "\n",
@@ -2372,7 +263,8 @@
     "    facecolors='none',\n",
     "    s=100)  # marker size\n",
     "\n",
-    "namearr = list(ps_rcp85.data_vars)\n",
+    "# Add legend of ensemble names\n",
+    "namearr = list(tas_rcp85.data_vars)\n",
     "taylor.add_model_name(namearr, fontsize=16)\n",
     "\n",
     "# Add figure title\n",
@@ -2392,26 +284,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/dd/_xm_pbpd3flgbvbnt7qhd70snnbpj_/T/ipykernel_6349/1517796922.py:2: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
-      "  ps_rcp85['time'] = ps_rcp85.indexes['time'].to_datetimeindex()\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "ps_rcp85 = xr.open_dataset('../data/ps_Amon_CanESM2_rcp85_2022_xyav.nc')\n",
+    "ps_rcp85 = xr.open_dataset(gdf.get('netcdf_files/ps_Amon_CanESM2_rcp85_2022_xyav.nc'))\n",
     "ps_rcp85['time'] = ps_rcp85.indexes['time'].to_datetimeindex()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2427,25 +310,15 @@
     "    corr = float(xr.corr(era5_ps, ps_rcp85[em]).values)\n",
     "\n",
     "    ps_rcp85_std.append(std)\n",
-    "    ps_rcp85_corr.append(corr) # This is producing negative correlations for some values which is destroying the plot"
+    "    corr = 0 if corr < 0 else corr # This is producing negative correlations for some values which is destroying the plot\n",
+    "    ps_rcp85_corr.append(corr) "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Create figure and Taylor Diagram instance\n",
     "fig = plt.figure(figsize=(12, 12))\n",
@@ -2456,7 +329,7 @@
     "# Also enforces proper X-Y ratio\n",
     "taylor.add_xgrid(np.array([0.6, 0.9]))\n",
     "\n",
-    "# Add model sets for p and t datasets\n",
+    "# Add temperature data\n",
     "taylor.add_model_set(\n",
     "    temp_rcp85_std,\n",
     "    temp_rcp85_corr,\n",
@@ -2467,6 +340,8 @@
     "    facecolors='none',\n",
     "    label='Near Surface Temperature',\n",
     "    s=100)  # marker size\n",
+    "\n",
+    "# Add pressure data\n",
     "taylor.add_model_set(\n",
     "    ps_rcp85_std,\n",
     "    ps_rcp85_corr,\n",
@@ -2481,50 +356,51 @@
     "# Add figure title\n",
     "plt.title(\"RCP85\", size=26, pad=45);\n",
     "\n",
+    "# Add legend of ensemble names\n",
     "namearr = list(ps_rcp85.data_vars)\n",
     "taylor.add_model_name(namearr, fontsize=16)\n",
     "\n",
+    "# Enforce x axis\n",
+    "gv.set_axes_limits_and_ticks(ax, xlim=[0, 2])\n",
+    "\n",
     "# Add figure legend\n",
-    "taylor.add_legend(fontsize=16);"
+    "taylor.add_legend(fontsize=16, pad=45);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Plotting multiple models"
+    "## Plotting multiple models\n",
+    "\n",
+    "Another potential use case for a Taylor diagram is to plot multiple models. Here we compare RCP26, RCP45, and RCP85 together. \n",
+    "\n",
+    "Because it isn't meaningful to compare ensemble members across model runs (the nature of the perturbations isn't reliably similar across RCPs or labs), we will look at the first ensemble `r1i1p1` for all models. For your analysis, you might find it more meaningful to average across ensemble members, but we'll keep it simple for this plotting example.\n",
+    "\n",
+    "In this final example, we'll add another layer of complexity to our Taylor Diagram plot with contour lines of constant normalized standard deviation."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/dd/_xm_pbpd3flgbvbnt7qhd70snnbpj_/T/ipykernel_6349/1158326517.py:2: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
-      "  tas_rcp26['time'] = tas_rcp26.indexes['time'].to_datetimeindex()\n",
-      "/var/folders/dd/_xm_pbpd3flgbvbnt7qhd70snnbpj_/T/ipykernel_6349/1158326517.py:5: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
-      "  tas_rcp45['time'] = tas_rcp45.indexes['time'].to_datetimeindex()\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "tas_rcp26 = xr.open_dataset('../data/tas_Amon_CanESM2_rcp26_2022_xyav.nc')\n",
+    "# Open RCP26 and RCP45 files\n",
+    "tas_rcp26 = xr.open_dataset(gdf.get('netcdf_files/tas_Amon_CanESM2_rcp26_2022_xyav.nc'))\n",
     "tas_rcp26['time'] = tas_rcp26.indexes['time'].to_datetimeindex()\n",
     "\n",
-    "tas_rcp45 = xr.open_dataset('../data/tas_Amon_CanESM2_rcp45_2022_xyav.nc')\n",
+    "tas_rcp45 = xr.open_dataset(gdf.get('netcdf_files/tas_Amon_CanESM2_rcp45_2022_xyav.nc'))\n",
     "tas_rcp45['time'] = tas_rcp45.indexes['time'].to_datetimeindex()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Perform statistical analysis to create our standard deviation and correlation coefficient lists\n",
     "temp_rcp26_std = float(tas_rcp26['r1i1p1'].std().values) \n",
     "temp_rcp26_std_norm = temp_rcp26_std / std_temp_obsv\n",
     "temp_rcp26_corr = float(xr.corr(era5_temp, tas_rcp26['r1i1p1']).values)\n",
@@ -2539,23 +415,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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gQIMGDWBkZITIyEi8evWKn+6vv/6CqakpJk+ejLVr12LOnDkAsqsKN2rUCFpaWvj48SN/TCH5vqlbty7s7OxkiuXr168YOHAgf+lFzZo1UatWLSQnJ+Ply5f8fvX169fo0KEDbt68WeDnXqK0P6ufPn1Cv379EBsbCwAwNzdHrVq1kJmZWbTeL5lTuf/366+/SmVZz549K2oTMsmv54cxxrZs2cI/N3To0HznDQ0N5c/M6uvrs/T0dMZY+en5mTRpklT7d+7cyTNNzrMVNWrUYD/99BOrUaMGU1FRYZqamqxmzZrM1dWVrVy5koWFhcm03JIka89PdHQ0Mzc356fT1dVlW7ZsYcnJyVLTpaSksDVr1vBneACwkSNHyrR8AwMD/izM6dOnpc7MZWZmsiVLlkjFunr1aubq6soAMBcXF/b48eM8Mffu3Vtqnlu3bhUYS+4zSxzHMYFAwH777TcWHx8vNe2tW7fynLE4ePBggW2np6czOzs7flpVVVW2fPlyFhMTIzVdZmYm27Nnj9RZyI4dO0pti4JilvRKqKiosDVr1uTp6QoODmaZmZn83+fOnWPW1tZs1apV7Pnz5/kuIzY2lq1Zs4ZpaGjwy3FzcytwPXPHVJQz5mXV81PU7TR+/HipZbi7u7P379/nWcaNGzek3hPVqlVjERERsq18OZBzHcu650fyfu/Zsyd7+/at1LRpaWl8j2NWVpbUmVxnZ2fm5+eX7zKSk5PZmTNn2KBBg9j8+fPznUbW98+PKqueH0NDQwaA2drasps3b0pNJxQK2T///MMUFBT46Tt16lRgu3379uWnMzExYSdPnmRZWVl5psvKymJ37txhM2fO/G57R44ckdoGLi4uzNfXN0+v+fv371nPnj356QQCAbtx40aB7eZsU/Id0qtXLxYYGCg1XUhIiFQvjLKyMrt58yZTV1dnHMexefPm5enxvX37ttT7rbARMjlfCyMjIwaAmZmZsbNnz0rtX1NTU9m6deukegBMTEzyfB8U1Pb3jmXu3LnDFBUV+WkbNGjAzp07x4RCodR0YWFhbOTIkVLbb9++fQW2WxT59fwwxtiFCxf451q2bJnvvKmpqXyvroKCAvv69StjrGg9PytXrpRafs+ePfMcHzDG2OPHj1mLFi346dTV1dnr169lWifJe23UqFF8jBIvX75kNjY2Uu+Fq1evMoFAwFRUVNjff/+dZ1TMqVOnmLq6Oj9Phw4dvruOOWORvNfq16+f5xgnPj6e/fbbb4zjOH76hg0bsoyMjALbLovPqmSf7+LikmcfnpWVJfM+ssh7bScnJ6kXPPcHo6QUlPzExcUxVVVVBoCpqanlObhkjLFly5bx802ePJl/vjwkP2lpaVJDhlRUVPId4pXzA1vYQ1lZmU2ZMoWlpaUVuvySImvyM2jQIH4aU1NT9uHDh++2e+nSJakhRfntePJbvrGxMQsJCSmw3WHDhkltLyD7QFmSGOeWnp7OatWqxc/zvUQsv9dq48aNBU4fFRXF6tatK7UDKui1mz9/Pj+dpqYme/jwYYHtMsbY06dPpXaEJ0+elClmgUBQaPe9REpKiszD9W7fvs0fNHEcx969e1fgtOU9+SnKdrp8+bLUfFu3bv3u9PHx8VIJ0JQpU2Raj/Ig53qWdfIDZA9FKuz9ePv2banPUWxsrEwxFfT9VtmSHyB76Nn3hvjm/F7lOI4FBwfnmSYrK0vqwPzq1asyxVLQdo6KipIaMjpkyJDvHnOIxWI2dOhQfvomTZoUOG3u99GQIUMKfB9FRUVJDZeUfIds3769wPavXLki1b6vr2+B0+Z+LQwNDb/7XXnq1Cmpg9Kcxznfa7ugY5mMjAyp6dq1a8dSU1MLbJMxxn777Tep79+SOP4oKPkRCoVSQ1vz+x45cOAA//+ePXvyz8ua/Lx8+VIq+Zs7d+53Y83IyGDt2rXjp+/Vq5dM6wSAzZs3r8B237x5IxWHsrIy4ziOXbx4scB5duzYUehnUyJ3LHXr1mXR0dEFTu/h4SE1/dq1a/Odriw/qx06dCjw2E1WRd5r5xzHV6dOnR9a+PcUlPwwxtjgwYP553PvfMRiMbOysuL//+TJE/5/8k5+RCJRnoP2fv365Tttzg+sQCBgVlZWrFWrVqxDhw7M1tZWqodE8rC1tf3uGaCSJEvy8+HDB6lE5nsf3pxGjRrFz+Pu7i7T8gs783T37l2p6RUUFFhQUNB351m+fLnUDqIguQ+QW7VqVeg6Xrt2rdD4ExISpHpyCjuAlli6dCk/T0HJQO6Yx40bJ1PbxTFkyBB+OatWrSpwuoqQ/Mi6ndq2bcvPM2DAAJnmuXXrFj+PhoZGodealRe590OyPr7XjqzJj6GhIUtISCg0xsOHD/PzODs7/+gqyy35Kerje5+HnAe7AoEgT89ZbgkJCfyJRwDs0KFDeab5+vWr1PJ/9IA45+fPwsKi0ANySZx6enqFvpdyxqmrq1vo+2js2LF5DsAKk/O6pxUrVhQ4Xe7kZ/fu3YW2nfPAUUtLq8D9hSzJT873mba2NgsPDy90+UKhUOoknizXExWmoOSHMelkK78e2fbt2/P/9/Ly4p+XNfnJeUzh7Ows0wm+oKAgPlHhOE7qmuKC1sna2jrfntCcOnfuLDXPqFGjvjt9Wloa09TU/O5nUyL3PsLb27vQ9WzVqhU/fe3atfPdNmX1WVVSUvruiW5ZFbnaW0xMDP+7rq5uUWcvEd+r/nHr1i3+ugFbW1vY29uXaWy5iUQiREREwMvLC61atZK6MaiqqiqWLVuW73yqqqoYOnQozpw5g4SEBHz48AG3b9/G9evX8ezZMyQkJODgwYOwsrLi5wkICECfPn3KTdWoAwcO8GOlGzRoAFdXV5nmy1mZr6CqJzlpa2tj8ODB353G0dERCgoK/N+dO3dGrVq1vjtPziqEHz58kLniybRp0wqdplOnTmjQoAH/98mTJ/NM4+XlhcTERADZn7WCxjnnlvO6hnv37iE1NbXQeSZMmCBT28XRokUL/nc/P79SW05ZkGU7BQcHS1Xdk3Usc+vWrfn3ZEpKCu7fv1+8IKuQIUOGQFtbu9Dp1NTU+N/fv3+PlJSU0gyrwunYsSNsbGy+O422trbUtQQ5r0+QyLmdAeDp06c/FFfOKnS//vprnvbzo62tjT59+vB/y/IdMmjQoELfR7mr0o4bN67QdnPO8/r160KnB7Kvd/zll18KnW7q1Kn870lJSTKtZ0Fybudhw4bBxMSk0HkUFBSkbjb/I8uXRc7jvv3790sd5wQHB/NVwIyMjGS+vkoiPT0dR48e5f+eNWuWTNey16pVi79/JGNMpuqmo0aNgqLi9y+3L+p7TVVVVeqzKet7rWHDhgVeN5/TlClT+N+DgoL4+2fmVFafVVdXV/6a2R9R5IIHOUv7qaio/HAAxdGpUydYWFggJCQEDx8+xOvXr/kDyZwXvP1ImcPiCAkJkbn4g4qKCo4cOYL69evn+//58+d/d35JctS7d2/07t2b/+Dfvn0b+/btK/N1z0/OA8BOnTrJPF/O+yB9/foV3759g6mpaYHTOzg4QElJ6bttKisrQ19fH1FRUQCkD8gLknOZjDEkJCTke8F+ThzHoVu3boW2DQDdu3fnd1IPHz7M8/+c269NmzYyF8aoUaMGdHV1ER8fj6ysLAQEBHx3fXMf1BRFYmIirl27hmfPniEkJARJSUlIT0+XutgxLCyM//3Lly/FWk55IOt2yvm6aWtro1mzZjIvw9bWli/C4e/vj86dOxc5TnmysrIq04IUbdq0kWm6Zs2ageM4MMYQFxeHn376Cf/884/UCYiKoE2bNjIdVEjIWnChZcuWMk1nbm7O/55fmVpdXV1YW1vzxSaGDBmCHTt2oHPnzkUujPT582f+wnKg+N8h/v7+hU4vy/dB7uIxRf0Oye9WC/np1KmTTPt6JycnGBoaIjo6GkD2d4ibm5tMy8gpIyND6vunNLfzj6hbty5atWqFO3fu4OvXr7hy5Qq6d+8OIPskuOQ7Z9iwYYUeD+T28OFD/uJ+ADIlBBK2trbw8fEBkL0Nxo4d+93pi/peU1ZWhoODQ6HzFOe9Jtl+hXF1deX3n0D29srZsVCWn1VZ9/mFKXLyo6enx1eGkLU2f0njOA7u7u5YunQpgOw3/t9//42kpCScOHECQPYbZujQoXKJ73s4jkPHjh3h4eGBhg0b/nB7Wlpa8PLyQt26dfleufXr15eL5CfnvWwuX74sc1KQW1RU1HeTH1krmqmrqxdpnpzTA5CpB0VyDxdZNG7cmP89IiICiYmJUmcfc26/p0+fFmn75TxJIUn4ClKrVq0iH5jExMTg999/x/79+2W614GErHX9yyNZt1PO100kEhXpdXvx4gX/e2GvW3k0bNiwPPdhKk05e76/x8zMDEOHDsXBgwcBANevX0fDhg3RpEkTdOrUCa1atYKLi4tMZ7zlad++fbC0tCzxdmXdh+asvlnQ/nDu3LkYM2YMgOwz8l27doWZmRm6du2K1q1bw8XFBdbW1oUuKyAgQOrvWbNmyXwCKOcJF1k+R8X5PijqPLJ8fwDS3wuyTCs58M5d3VBW79+/l9qHr1mzBjt27JBpXknFLaBs9lejRo3CnTt3AGQf93Xv3h2MMakRNcU59sm5zxYIBBgyZIjM8+asMFYa7zUDA4NCe4pyz1PS7zUtLS1YWlryJ+Zyv9fK8rMq6z6/MEVOfgwMDPjkJ+cbv6yNHDkSy5YtA2MMBw4cwMqVK3H06FH+Rf/pp59gYGBQpjGpqqrmKVGroKAAbW1tGBoawt7eHu3bty90uFVR6enpYdKkSfwQulevXiE0NBQ1atQo0eUUhVgsljrQff/+fbF3zoUdMBenVHhx5snZm1GQorznck8bFxcnlfzkHGIaGhqK0NBQmdvOqbDtJ8uwoZyCgoLQvn17vsRmUeQ8u1bRyLqdcr5uKSkpuHLlSrGW9yOJ4vPnzzF37txCp1uzZk2FKcecn6K8d7dv3464uDhcuHCBf+758+d4/vw51q9fDwCoV68e3NzcMGrUKLmWVC9rxRnFUdD+cPTo0QgJCcHy5cv5acLCwvDvv//yIzNMTU3RvXt3uLu788OGcsv5OQLAH+QXlSyfo7L4DpHl+wMo/neIrGf7c8u9nR88eFCsdsrixNaAAQMwdepUJCcn4+zZs4iJicGTJ0/4XodmzZoVWoo5Pzm3gVgsLtV9dlHfN6V1rAIU/b0mSX5yv9fK8rNa1OOVghQ5+bGysuLvN/L161dER0fD0NCwRIIpCktLS7Rr1w4+Pj6IiIjAxYsX5X5vHxMTE1y+fLnMlwsAHTp0kLp+6N27d3JNftLS0gq9d4OsSqqdslCUHVXuA47ciUFJXZdQ2PYTCGS/9E8sFmPAgAF84sNxHHr37g03NzfY2dnB3NwcGhoaUFVV5efx9PQsd/faKg5Zt1NZvW7fExsbK9MXeGHDa8u7orx3NTQ0cP78eZw7dw5bt27F9evX89xz7e3bt1i5ciXWrFmDX3/9FWvWrJHb8O6KbOnSpfj555+xfv16nDp1ir92UeLbt2/Ys2cP9uzZg86dO8PT0xPVq1eXmqY8fI7kobjfIcU9sVRS21nWA+4foaGhgf79+2Pv3r3IzMzEoUOHpK6NLO73DL3XCve991pZbr+i7PO/205RZ8jds1HcswQlIWf35qJFi/hYzMzM0KVLF3mFJRe5h4VJxgHLi4aGhtS42127doFlVxcs8qNdu3byW5Eiynljv8LkPiDQ0dGR+jtnQZE//vij2Nsv940df8TFixfx+PFj/u+DBw/i9OnTcHd3h62tLQwMDKQSH6Bo26SslGZRkJyvW8uWLYv9uuW8gJSUnF69euHSpUuIi4vD1atXsXjxYnTo0EHqy10kEuGff/4p0c9OVdOkSRN4enoiNjYWDx8+xPr16+Hm5gZ9fX2p6a5du4b27dvn2U/k/BwJBAL+WsKiPoKDg8tgbUtOcb9Dcn9/yCp34arAwMBi77PKQs7jvq1bt+L06dMAskfeFFb4qCA5t4GZmVmx119y7XVFUVLvtYr4WS1y8tOhQwepvw8dOlRiwRRVv379+BchZ/UJd3d3qcpeVUHuMZ5FuSi2tOQcP1/cIW8VTXBwsMxfAkFBQfzvioqKeQ4Kco4NLi/bL2fPZps2bWQaG13c4Xqyynn2KveZ/IIUd4iILMrD69auXbtKd2KhpGloaKBz585YtGgRrl+/jujoaPz7779SF/UfPXqUqu79IAUFBTg5OWHGjBnw8vJCZGQkrly5InXh9/v377F582ap+XJ+jsRiMV/FtbKTDC2SRc7vkOJer5b7GpTy8l1TkFatWvHXjL17946/Xqlv377FrkCccxt8/foVycnJPxxnRSDrey13YpL7vVYRP6tFTn6aNm0KJycn/m8vL69SP7gpiJqaGgYOHJjn+ap4tu7ly5dSf8t6AWtpcnFx4X+/evWqHCMpO4mJifyw0MLkrLDTpEmTPBVqcm6/69evl4sS5jkruuTcD3yP5ALVwuTszi7KWcScY4BlvQ4xZ2GBkpbzdYuKisq3LCgpfzQ1NTFy5EhcvXpV6rOY31Dm3EMvyuqsd2WgoKCALl26wNvbW6rwQe7t7OTkJHWhd1X5DpF1NE1CQgLevXvH/y1LRbD8WFlZSR0vVITtnN8x3o8Mrc65z2aMwdvbu9htVSSyvtdev34t1UuU+71WET+rxRo899tvv/G/Z2ZmYsSIEcXe+ScmJiI8PLxY8wJ5K3u0bt0adevWLXZ7FZWkihGQfUazuKWLS1LOMooBAQG4ffu2HKMpO4cPHy50moSEBKkLr3MPJwWkt19sbKxM7ZY2WXtWJF6/fi3zmfOcVfLS0tJkXoaFhQX/+4cPH2SqdHPq1CmZ2y+qNm3aSFXF2rRpU6kti5S8+vXrS92CIL/vp9wVHYvyfiXZ1NXVpSoh5t7OWlpaaNWqFf/3tm3bysUJoNL26NEjBAYGFjrdsWPHIBQK+b/z+w6RVc7XYf/+/XKr5Cur3KN7LCwsilSeOrf69etLVVGsKvvsCxcuyPRa5xzhpaSkJJUsAhXzs1qs5Oenn37CTz/9xP9948YNjBkzRuqDKIsXL16gWbNmePv2bXHCAAA4OzsjKyuLf1S0MZcl4ejRo1KZdq9evcrFRbqDBw+WKrowYcKEPNe5VEYbN24s9H42ixcvljpgyq88Z9u2baV6V+bOnSv3++TkvCj51q1b351WLBbj119/lbntnNetffz4UeaLR3OehRIKhfDy8vru9AcPHizVnh8NDQ1MmjSJ/3vfvn3Frh5ESkZRT87lHPaSezgqkPcay/I+VKislPR2njNnDv/7+/fvsWjRouIHV4EUVqkxOTkZy5cv5/92dHT8oaqNs2fP5sv4x8XFYfLkycVuqyxUr14dGRkZ/HFfUFBQkW/XkFvO99qNGzewe/fuHw2z3EtNTS301gRfvnyRSgYLqqRc0T6rxUp+OI7Dvn37pEqB/vvvv+jYsaNMNyn68uULJk6cCAcHhxL50lBUVOQfJVUJQp4WL16MLVu2FHoxGmMM27Ztk+oCVlJSwpIlS0o5QtkoKytj7dq1/N+vX79G+/btZTqr9fbtW0yZMgV///13aYZYKpKTk9GzZ88CezS3bt0KDw8P/u8+ffoUWJ5zw4YN/BCc8PBwtG3bFo8ePSo0hs+fP2PBggWYNWtW0VfgO3Je8+fn54dt27blO11qaiqGDRtWpJMROZOY2NhYmb98qlevLnUm6vfff5e6d0BOFy9exIQJE2SOqbjmzZvHJ/4ikQj9+vXDgQMHCp0vISEB27dvr3IFW0rb6tWrMXbs2Dz3o8jP5s2bpa6laN++fZ5pTE1NpRKg9evXF/nkX2V069YtdOvWDVeuXCn0zK+fnx+OHj3K/53fdu7evbtUD/iKFSswZ86cQu8tlpWVhfPnz6NDhw5SQ3UritOnT+P333/P9wRQYmIi3NzcpC43WLBgwQ8tr2HDhpg4cSL/98GDB/HLL78U2isgFotx8+ZN9OnTp9CTYSVNQUGhRI/7xowZIzViZuLEiVi3bl2h7+O0tDQcPny42MMO5c3Dw6PA7/Hw8HD06NGDP0mhoKBQYIXQivZZLXKpawkdHR3+TS9JeG7duoVmzZrB2dkZXbp0QcOGDWFoaAiBQICIiAh8+PABly9fxoMHD8p9l5g8BQcHY8mSJZg9ezY6deoEZ2dn1K9fH3p6elBSUuJr2x8/flxqzC8A7NixQ6YbyJWVAQMG4Pnz51ixYgUA4MmTJ6hfvz569+6Nzp07o3bt2tDU1ERiYiK+fv2KZ8+e4caNG3j9+jUAlPuzB7k5ODggOTkZAQEBaNiwIcaNG4dWrVpBU1MTQUFBOHToEK5fv85Pb2BggC1bthTYnouLC7Zs2YLx48eDMYagoCA4OTmhc+fOcHV1Rb169aClpYWUlBRERETg+fPn8PX15T+T7u7uJbp+/fv3x++//85/8U6aNAlXr17FgAEDYG5ujqSkJPj5+eHff/9FaGgolJSUMHz4cOzZs6fQtq2treHs7MxfCzV+/HisXr0a1tbWUj2ZgwYNwqBBg6Tm/e2339CrVy8A2QUW7O3tMXXqVDg7O0NJSQmfPn2Cl5cXzp8/DyB7zHhpVlMzMDDAmTNn0KZNGyQnJyMlJQXDhw/HmjVr0K9fP9jb20NfXx+ZmZmIjY3Fq1ev8ODBA/j4+CAzM1NqKB/5cenp6di9ezd2794NGxsbdOrUCfb29jAzM4OWlhZSU1Px7t07nDp1Cjdu3ODna9WqVYF3Kx8+fDhWr14NADhw4AAuXbqEJk2aQEtLi5+mUaNGUmfof5S7u3uRi9m4ublh/PjxJRbD9zDGcOXKFVy5cgVGRkbo1q0bHBwcYGVlBV1dXQiFQoSEhODatWs4fvw4P4xWX18fU6dOzbfNw4cPw8XFhf9OWLt2Lfbv34/BgwejRYsWMDExAcdxiI+PR2BgIB4/fowrV67wRU0q2vVYgwYNwrFjx7By5Up4e3tj5MiRsLGxQWZmJvz9/bFjxw6pEQCDBw+WGolTXB4eHnj9+jV/wurgwYM4e/YsBg0ahNatW8PU1BTKysqIj4/Hp0+f8OTJE1y5coU/yTd9+vQfjkGelJWVcebMGTRv3hzfvn2DUCjE7NmzsXnzZgwcOBDNmjWDkZERRCIR4uLi8PbtW/j5+cHb27vESj2XtSFDhuDw4cOYNGkSTp48iaFDh6J27dpITk7GnTt3sGPHDqniQHPnzv1uklehPqvsB6WmprJJkyYxJSUlBqBID1VVVTZ79myWmJiYp10fHx+paV+8ePGjoTJ3d3e+PQcHhwKn+/Tpk9Sy9+7dK1ObFhYWPxxj7jZlfejo6LCDBw+WyPKLE2NhtmzZUqz3yKJFiwpdvru7u0wxW1hYyPSaSuR+H3z69Cnf6RYtWsRP07ZtW/bixQtmbGxc6Lrp6+uzJ0+eyBS7l5cX09LSKvL2K2jb5I65KO7fv8/U1dULXbaioiLbvXs327t3r8yfkefPnzMjI6NivScmT54s0zZZvHhxnv1LQX5kOzHG2KtXr5i1tXWRX7eS2peUBVlem6K24+Pjk+80sn4mc8v5Osr6sLOzY9++fSuwzaSkJObo6PjdNorznskp52enuI9p06bl23ZR94eMFb7fzf25kuWhr6/P7t27993lxsXFsR49ehRr/Qt6j8jyfvveuslC1v1H7tdi1apVjOO4QtetW7duLD09/bsxFOV1Tk9PZ6NHjy7WdpZlGxYm9+f73LlzP9xmztfAwMCg0Om/fPnCnJ2di7UNZFknWfZZRfnOlJD1mCj3azZx4kSZ1m3UqFFMLBYXGkd5+KzK4of7CtXU1LBlyxYEBgZi8uTJUheNFaRx48ZYtWoVgoKC8Pfff0udKSPZ3Yddu3aFnp5eodMaGxtj7ty5ePXqFYYOHVoG0RXPpEmT8O7dO4wbN67QO/RqamqiR48e2Ldvn9Q40oqiUaNGePr0KXr37p1vyXUFBQX069cPz58/h729vUxturm5ITAwEHPmzCn0psIqKiro0KEDtmzZwt+5viQ1b94cDx48yHPRY+5p7t69i9GjRxep7caNG+PVq1dYvnw52rZtCxMTE5mvX9u0aRM8PDwKLHdqbW2Ns2fPlmlvYoMGDRAQEIDNmzcX2iPLcRzs7e350suk5PTv3x/Tp09HvXr1Cr02wNLSEmvWrMHDhw+/WzVTU1MTd+/exZ49e9CzZ09YWFhAXV39h689qMgaN26MpUuXokWLFnmqV+amq6uLSZMm4c2bN1JlrwuaVnKD2tatWxc6zMnS0hITJ07EnTt3ZDomKW/mzZuH06dPF7jP0NPTw9q1a3H+/PkSvb5XRUUFu3fvxu3bt+Hq6lroa2hqaorhw4fj8uXLaNOmTYnFIU9mZma4e/cuDhw4INP3c7169TB79myZhtSWR1u3bsXu3bulSvznVL16dXh6emLPnj0y7dsqymeV+/+sqkR9+PABL168QHR0NGJiYqCgoABdXV1YWFjA0dEx3wsbSV6MMbx79w4fP35ETEwMYmJikJqaCm1tbRgaGsLe3h42NjYV7stWJBLB398fb968QUxMDNLT06GpqYlq1arBxsYGjRo1kiqbWN4tXryYv86qbdu2Ute5fPv2Dbdv30ZYWBhEIhHMzMzQoUOHYt+TAch+XwQEBODFixeIiYlBcnIyNDQ0YGxsDGtrazRu3DjPjUZLy5s3b3Dv3j1ERkZCTU0NpqamcHJyQq1atcpk+fnJyMiAr68v3r17h+TkZJiYmKBRo0Yyl+YuTSEhIfDz80NERATi4+OhqqoKPT091KlTB40bN6Z9YxmIi4tDQEAAgoKCEBMTg4yMDKirq6NatWqwtbVFgwYNKtw+tTxKT0/H8+fP8eHDB4SHhyM1NRUqKiowMDBAgwYNYG9vX+wD97i4ONy9exdhYWGIjY2FQCCAtrY2atWqhQYNGqBmzZolvDby8+jRI7x69Qrh4eHQ0tJC3bp10b59+0ITk5KQkpKCu3fv4vPnz4iJiYFYLIa2tjZq1qyJ+vXrS133XVlFRETg3r17CA8PR2xsLJSUlKCrqwsrKys0atToh77LyxOxWIw7d+4gMDAQkZGR0NPTQ8OGDdGyZcsfuqaqvH5WSyX5IaQq+V7yQwghhBBCyo+KXxqNEEIIIYQQQmRAyQ8hhBBCCCGkSqDkhxBCCCGEEFIlUPJDCCGEEEIIqRIo+SGEEEIIIYRUCVTtjRBCCCGEEFIlUM8PIYQQQgghpEqg5IcQQgghhBBSJVDyQwghhBBCCKkSKPkhhBBCCCGEVAmU/BBCCCGEEEKqBEp+CCGEEEIIIVUCJT+EEEIIIYSQKoGSH0IIIYQQQkiVQMkPIYQQQgghpEqg5IcQQgghhBBSJVDyQwghhBBCCKkSKPkhhBBCCCGEVAmU/BBCCCGEEEKqBEp+CCGEEEIIIVUCJT+EEEIIIYSQKoGSH0IIIYQQQkiVQMkPIYQQQgghpEqg5IcQQgghhBBSJSjKOwBS+qKionDmzBk8fPgQgYGBiIuLQ1paGtTU1KCnp4e6devC2dkZvXv3hrGxsbzDJYQQQgghpFRwjDEm7yBI6UhPT8fcuXOxc+dOZGVl4XsvNcdxUFJSwtixY7FmzRqoqamVYaSEEEIIIYSUPkp+KqmMjAy0bdsWjx49AmMM9erVQ8uWLVG7dm3o6elBRUUFGRkZiIuLQ1BQEO7evYu3b9+C4zg4Ojri9u3bUFZWlvdqEEIIIYQQUmJo2Fsl9ffff8PPzw82Njb4999/0aJFi0LnuXfvHkaNGgV/f3+sWbMGCxYsKINICSGEEEIIKRvU81NJNWzYEB8/fkRgYCBq1Kgh83whISGwtraGlZUVXr9+XYoRlg7GGBhj4DgOAPifhc3DcRz8/f0RFRWFVq1aQUtLq7RDJYQQQgghZYySn0pKXV0dDRo0gL+/f5HndXBwwJs3b5CamloKkcmXJDmS4DgOQqEQSkpKaNWqFe7du4dXr16hfv36coySEEIIIYSUBhr2VklpamoiMjKyWPNGRkZCQ0OjhCMqG//++y/09fVhZGQEPT096OjoQEtLCxoaGlBQUADHcXl6g5SUlAAA8fHxAEAV7wghhBBCKilKfiqpFi1a4Pz581i/fj1mzpwp83xr165FWFgYevXqVYrRlY74+HhMnjwZRkZGAAAtLS3o6OhAT08P+vr60NfXh4GBAQwNDWFgYMA/p6enB01NTXz79g0cx8HAwEDOa0IIIYQQQkoDDXurpO7fv482bdpALBaja9euGDVqFFq2bAlTU9M803779g13797Fnj17cPXqVQgEAty+fRvNmzeXQ+TF9+bNGzRs2BAqKiqwtLREYmIiUlNTkZaWxpf65jgOioqKUFVVhbq6OjQ1NaGrqwsNDQ3cunULRkZGiIiIkPeqEEIIIYSQUkA9P5VUixYt4OnpiTFjxuDy5cu4cuUKAEBFRQW6urpQVlZGZmYm4uPjkZGRASD7ehhlZWXs2rWrwiU+AJCcnAwAqFu3LtauXQuO4xAbG4v4+HjExsZKPeLi4hAfH4+EhASEhITw1zdVq1ZNnqtACCGEEEJKESU/ldjQoUPRqlUrrFmzBqdPn8a3b9+Qnp6O8PDwPNNWq1YNbm5umDNnDiwtLcs+2BLAcRzMzMygpKQEa2vrPOshEomQlpaG1NRUJCcnIykpCbGxsRCLxfD29sbq1atRs2ZN+QRPCCGEEEJKHSU/lZyFhQW2bNmCLVu24PPnzwgMDERcXBzS09OhqqoKPT091K1bt1Ic9Gtra8PAwAAvX77E27dvYWlpCaFQCEXF7Le5goICNDU1oampmaeoQUxMDABU2MRPImeZb8nfgGwlvwkhhBBCKjtKfqqQmjVrVookpyBmZmbo06cPX8gAAAQCQb7TSpKCrKwsKCsr4927dwAqfvIjuV9RVlYW6tevD11dXXmHRAghhBBSbuR/ZEhIBaShoYEpU6Zg69ataNSoEYCCkx9JyWtJr1BmZiYAFOmGsOXNs2fPMGLECAwcOBAtW7aEvr4+WrRogePHjxc6r1gshlgsLoMoCSGEEELkh6q9EYLs5CcmJgb6+vpQUVGRdzhF9vLlS0ybNg0+Pj5QUlJCjRo18O3bN6SlpcHS0hJ//PEHRo0aRcPfCCGEEFKlUc8PkTJkyBB06NABHTt2lHcoZUpZWRmmpqYVMvEBgDVr1sDHxwcdO3bEv//+iyNHjuDUqVNwc3NDcHAwZsyYgYsXLwLILvyQ8+eRI0fg4OCAa9euyS1+QgghhJCyQNf8ECn3799HSEgI9RBUIAkJCfjvv/9gbGyMI0eOwNDQkP9f06ZNYW1tjdWrV2PcuHHw8/ODmZmZVGGER48e4enTp0hPT5fXKhBCCCGElAlKfoiU6dOnIz4+Xt5hkCJ49OgRMjIy0LdvXxgaGiIzMxPKysoAAENDQ8yePRtv3rzB2bNnMWbMGFy6dIm/5gkAXr9+DQBo1aqV3NaBEEIIIaQsUPJDpEybNk3eIZSpzMxMhIWFQUdHB7q6ugUWSCjPXr58CQBo2LAhgOyS3jkZGBhg/fr1CAgIgLe3N9avX4+ZM2cCAMLDw/HmzRtUr14denp6ZRs4IYQQQkgZq3hHeoSUAEmdj5cvX6JDhw5o2rQpJk+eLOeoiicpKQkAYGJiAiDvPX1EIhFq166N1atXgzGG9evXw8/PDwDw7t07hIaGolmzZmUbNCGEEEKIHFDPTxUgEong4+ODhw8f8jc5TUtLg5qaGn+TU2dnZ7Rr144v/VxVREdHIykpCbGxsXwSUdEYGxuD4zhERUUByFveW0FBAUKhEAMGDICPjw927NiBJUuW4MKFC3jx4gUAoF27dmUdNiGEEEJImataR7pV0Pr167Fq1SrExMQA+F+PR06SngIDAwPMmzcPM2fOrNAFD0QiUZ6hX0D2ukvWX7J+9erVw6ZNmxAWFgZHR8cyjbOkNGzYEIwx7N69GxMnTsx3GkVFRTDGsHr1ajx+/BiXLl3CwYMHERAQAICu9yGEEEJI1UD3+amkGGPo27cvzp49C8YYtLW10axZM9SuXRt6enpQUVFBRkYG4uLiEBQUhEePHiExMREcx6Fnz544ffp0hUuAxGKxVK9HfHw8OI6Duro6lJSU8kyfs+JZRSYWi+Hv74+kpCR07Nix0PW6evUqhgwZgtjYWNSoUQOhoaHIysrKN2EkhBBCCKlMKPmppDZv3oypU6fCxMQE69evR//+/b87pE0oFOL48eOYNWsWIiMjsXHjxgp1DYyktyc4OBi3bt1CcHAwQkJCEBERAaFQyN/Hp3bt2mjYsCFsbW1Ro0YNAJUnCQJkX5cFCxZg9erVEIlEsLW1xdOnT8sgOkIIIYQQ+aLkp5JycHDA8+fP8eTJEzRu3Fjm+QICAuDg4IAmTZrgyZMnpRhhydu1axcOHDiAO3fu8M8pKCiAMQaxWAwge/hXtWrVYGdnh27duqFHjx6wsLCQV8hlTpIcxcTEYNSoUTh37hyGDx8OT09PeYdGCCGEEFLqKPmppDQ1NVG3bt1indG3s7PDx48fK1QBgDNnzsDd3R2JiYno3LkzatasCQMDA6irq4MxhpSUFERERCA4OBivX7/mr4Hq2bMn1q1bh7p168p5DcqOZHhgdHQ0bty4AVtbW9jY2Mg7LEIIIYSQUkfJTyVlYGAAfX19BAYGFnneOnXqIDY2FrGxsaUQWclLSUlB69atERAQgA0bNmDgwIF82WcJsViM1NRUxMfH4/Pnz3j48CG8vLxw9+5dODg44M6dO1BRUZHTGpQ9oVBY5Sr7EUIIIYTQfX4qKXt7ewQFBeH48eNFmu/o0aMICgqCg4NDKUVW8kJDQ/Hs2TN0796dv85JKBRCLBbz1d0EAgE0NTVhbm4OFxcXzJgxA5s2bULLli3x9OnTKjfsq7ImPpIhjnROhxBCCCH5oeSnkpo5cyYYYxg6dCgmTZoEf39//rqX3CTVwiZOnIhffvkFHMdhxowZZRxx8X379g0AYG1tDQBIT0+HoqIiBAJBvhf/i8ViiMVi2NnZYeXKlRCLxfD19S3TmOVBkhBERkbizZs3yMjIkHNEPyZngvP161d8+/YNHMcV+LoTQgghhFDyU0l1794df/31F8RiMXbs2AFnZ2doaWmhfv36cHFxQbt27eDi4oL69etDS0sLzs7O2LlzJ8RiMZYvX47u3bvLexVklpmZCQAICwsDAKiqqkrd0yc3gUAAkUjETwsAWVlZZRCpfEmS371796Jjx45o3LgxTp06Jeeoik+S4MyYMQO9evWCmZkZbG1t4eHhgdTUVADgX2dCCCGEEIBuclqpzZ8/H23btsXy5ctx/fp1pKWl4d27d/lOq6SkhE6dOuGPP/6Ai4tLGUf6Yxo2bAhnZ2ccP34ctra2GD16NIyNjfNMl3M4lOS+P5KKdnXq1Cm7gEtB7nscSZ4DwD8v+RkWFoaMjAyEh4dDQ0OjbAMtQeHh4Vi0aBF27doFZWVlqKqq4sWLF3yv5/Tp06GgoID09HSkpaUhPj4eBgYG0NbWlnfohBBCCJETKnhQRSQlJeHp06cIDAxEXFwc0tPToaqqCj09PdStWxf29vbQ0tKSd5hFJindfODAAbi7uwMABg8ejJ9++gm2trYwMTGBjo5OnmFQnz9/xo0bN7B06VLExsbiyJEjcHV1lccqFEt+9/MJDw+HSCSCgYEB36OVn8ePH+Pt27d4+/Ytfv/9d6ipqZV2uKViw4YNmDVrFpydnTFx4kS4urrizp07mDVrFgDgzp07ePLkCRYuXIi4uDjUqFED9vb2GDp0KJycnOQcPSGEEELkgZIfUilkZmbiyJEj+Ouvv6Qq3NWqVQvVq1eHnp4e38uhqKiI0NBQ3Lp1CwCwcuVKTJs27bsJQ3kiSXxSUlLg7++P3bt348uXL1BTU0NWVhaUlZVhYmKC+vXrw8HBAQ0aNEC1atUA5N9DVFHVrVsXHz9+xNOnT2Fra8s/v3LlSnh6esLOzg7Xrl1DfHw8lJWVoa6ujvj4eFhaWuKvv/7CoEGD5Bg9IYQQQuSBkh9Sqdy6dQtnz56Fn58fPn36hNjYWKSnp+d7/Y+dnR2GDx+O8ePHV7jej5iYGMyePRv79u2Tel5JSQkikYgf8latWjXY29vjp59+wpAhQ6CpqQmg4idBL168gK2tLXr37o3Tp09L/e/Vq1fo3LkzwsPD0aVLFyxatAjGxsZ49OgRdu3aBR8fHzg4OODq1avQ1dWl4giEEEJIFULJD6mUEhMTERgYiA8fPuDjx49ITk6GWCyGpqYmtLW1oauri06dOqF69eryDrVYJk6ciB07dsDExATjx4+Hra0tYmNjkZCQgJiYGHz79g0fPnzAhw8fEB4eDgUFBdja2mLevHno37+/vMP/YR4eHpg5cyZWr16NOXPmQCQS8ZXe/P394eTkhFq1auHFixdQV1eXmrdt27a4ffs2zp8/X6EKexBCCCHkx1HBA1IpaWtrw8HBgb9fkaT6G8dxUmf687t2prz7/Pkzdu3ahTp16uD27dswMjLK04uTmJiIr1+/4tWrV7hx4wYOHjyIJ0+e4I8//oCOjg66dOkip+hLxps3bwAAHTp0AJBd+U3Sm3XmzBkA2Qmiuro6hEIhFBQUIBaLoaCggB49euD27dt4//49JT+EEEJIFVNxx70QUgQF3f+loiU+APDw4UOIxWIMGjQIJiYm4DiOH+om6cjV1tZGvXr10K9fP2zZsgUhISGYPn06Pnz4gOnTpyM9PV3Oa1F8qampEAgE0NDQ4IfxCQQC/satFy9ehJKSErp27cr/j+M4ftvo6+sDAFJSUuQQPSGEEELkiXp+CKlgPnz4AAD8kD1JkYPcct7rSFdXF3PnzsWHDx9w5coVnD17FgMGDCi7oEuQkpISOnTowCd9OYlEIqxYsQKJiYlo3LgxgLylvh8+fAgAUkUSCCGEEFI1UM8PIRWMtbU1gOxSzunp6VBWVpYqciAh6e0SCAQQi8WoVq0aXF1dkZWVhc+fP8sj9BKhpKSE/v37w8PDA3Xr1pX6n4KCArp164Z+/frlmU8gECAlJQWPHz+GgoICOnbsWFYhE0IIIaScoOSHkAqmXbt2aNSoEQ4fPoxp06bhy5cvUFBQkLruRywWQyQS8T0/QqEQQPYNTgHA0tKyzOMuSYwxKCsr8zerzU1BQUHqb0kP0ZUrV/Ds2TO4ublVuAp/hBBCCPlxlPwQUsEYGBhgwYIF0NHRgaenJ9zc3LB06VLcv38fSUlJALJ7ORQUFPhrmpSVlREWFgYvLy8AgLOzs9ziLwlFvVZLQUEBCQkJ2LhxIxQVFTF69OhSiowQQggh5RmVuq7CPn36hOXLl0NFRYXvOZD8zPlQUFCAsrIylJWVoaKiUuDv6urqUFdXh4aGBv9QV1eHmppahb6nTHl15swZTJkyBV++fAGQffNWGxsb1K9fHzY2NrC2toaVlRUSExPh4+ODS5cu4eXLlxgzZgx27twp5+jLVlpaGn799Vd4enpi/Pjx+OeffwrsNSKEEEJI5UXJTxX29OlTNG3aFFOmTIGqqirEYnGeh0gkgkgkQlZWFjIyMpCZmZnvz4yMDKSmpiI1NRUpKSlISUmRurGoJCnS1taGtrY2dHR0Cnzo6+vDwMBA6qGioiLHLVV+xcXF4dSpUzhz5gyePn2K8PBwfohbfoYPH45Vq1ahWrVqZRil/InFYrx9+xb+/v5wcXFBnTp15B0SIYQQQuSAkp8q7MuXL6hRowZCQ0Nhbm5eom0zxpCRkcEnQpKkKDExEQkJCd99xMbGIiYmBjExMUhMTAQAaGpqSiVDxsbGqFatGkxMTPL8NDQ0zHPNR2UXFxeH9+/f4+HDhwgMDER4eDji4+Px5csXZGZmolu3bujYsSPat28PPT29Cnl/I0IIIYSQH0XJTxVWmslPScnMzJRKhqKjoxETE4PIyEhEREQgPDxc6mdCQgIEAgGMjIxQvXp1mJubw9zcHGZmZvzvkoeGhoa8V69UiMVipKenQygUQltbGyKRCEKhsMr3nkl6MyX3AyKEEEJI1UNHAaRcU1ZWRrVq1WQeppWens4nQ9++fcOXL18QFBSEY8eOQV9fH2FhYfjy5QvS09Ohq6uLGjVqwNLSkn/UqlWL/11XV7dC9o4IBAKoq6vzfysoKFS5njAgO9kRCASIiIiAlpYW1NXV6dozQgghpIqjnp8qrCL0/JSEN2/eoGnTpkhNTQXHcWCMITY2FmFhYQgJCUFwcHCeR2xsLLS1tfmEqG7duqhTpw7/09zcnA6ky1jOoXq5f2eM5Xk9JMmPu7s73r9/Dzs7O/z555/8zWEJIYQQUvVQ8lOFVZXkx8fHB6NHj0ZQUJDM8yQmJvKJ0MePH/Hhwwd8+PABgYGBCAkJgbKyMqysrPiEyNraGvXq1UP9+vVhaGhYimtTtSUmJkJVVRWZmZmIi4uDgYGBVC9X7kQoOTkZLVu2xIsXLwAACQkJ0NLSkkvshBBCCJE/GvZGKr3w8PAiVzfT1tZGkyZN0KRJkzz/y8zMxKdPn/hk6MOHDzh+/DjevHmDsLAwGBoa8olQzkeNGjWot6iYEhISsGXLFjx+/Bg+Pj6oVasWjI2NoaWlBRsbG7i4uKBFixZ5hioyxvDnn3/izp07UFJSosSHEEIIqeKo56cKqyo9P+vXr8fdu3dx8uTJUl9WYmIi3r59i7dv3+LNmzf84+PHj1BVVUWjRo3QuHFjqQf1FH3fo0ePsGrVKpw6dUrqeYFAwPf0aGtrw9bWFt26dUOvXr1Qv359CAQCPhHKzMxEeno6tLW15bEKhBBCCCknKPmpwqpK8jN37lykpqZi8+bNcoshMzMT79+/x4sXL/D8+XO8ePECL168wOfPn2FqaorGjRvzPU1NmzaFjY0NVSX7f71798b58+fRp08f9OzZE61bt0ZwcDBev36Njx8/4t27d3yvm5qaGtq0aYPJkyeje/fuAFBpy3pX1vUihBBCShMlP1VYVUl+fvnlF9jY2GDBggXyDiWPhIQEvHz5kk+IAgICEBAQAJFIBFtbW9jb26Np06Zo2rQpGjVqVOXKVQcFBaFOnTpo3rw57ty5k2fYoFAoREhICJ4/f44bN27g6tWrCAwMBADMnDkTS5YsqbQlzQHwNxKmJIgQQgiRDZ1aJpVeeHg42rVrJ+8w8qWjo4OWLVuiZcuW/HMikQiBgYF4+vQpnjx5gqNHj2LevHlISkpCw4YN0bRpUzg5OcHJyQmNGzeGkpKSHNegdF25cgUA0KtXLwgEAmRlZUFJSQlisRgcx0FRURFWVlawsrJCr1694O/vj23btuHQoUPYtWsX7OzsMGzYML7yW2UgFotx9uxZtGnTBvr6+lLPV5Z1JIQQQkoLJT+k0vv27VuRCx7Ik4KCAurVq4d69eph8ODBALLP8IeEhODJkyfw9/fHyZMnMW/ePGRmZkolQ05OTqhdu3al6QlITU0FAP5aHclQwJwH+ZLeD0VFRTRv3hzNmzdH06ZNMWPGDCxZsgQ///wzVFVVyzjy0rN582YsXLgQPXr0QJcuXdC5c2dUr16d3yb5JUGUGBFCCCHZaNhbFVZVhr0ZGhri6tWraNq0qbxDKVFisRiBgYF4+PAhbt++jYsXLyIqKgpaWlpwdnaGi4sLWrZsCScnpwo79Ov27dto27YtnJycsHfvXtSvXx8ikQgcx+V7MC8UCqGoqIi0tDT069cPd+/exalTp9ChQwc5RF86dHV1kZiYCEVFRairq8PFxQXdu3dH165dUbduXX46kUhUJW9uSwghhHwPnQoklVpmZiZiYmIqVM+PrAQCAWxsbDB8+HAMHDgQysrKSEpKwsWLF9GtWze8ePECv/zyC3R0dODo6Ihp06bh2LFj+PLli7xDl1mDBg3Qpk0b+Pn5YcmSJfj06RMUFBSkejnEYjE/vaKiIrKysqCmpgYzMzMkJSUhPT1dXuGXuPj4eDg6OoLjOL6q3dWrVzF//nyMHj0af/31F549ewaxWAwFBQX4+fnByckJ169fl3fohBBCSLlAPT9VWFRUFIyNjREZGQkjIyN5h1MqQkNDYWFhgczMzEpdPe3vv//GgwcP8i3n/fnzZ9y7dw93797FvXv38OzZM5iZmaFVq1Zo27Yt2rZtCxsbm3I3VE5SzSwgIAAjRoxAQEAAdHR0MHLkSAwdOhQODg5S0+fu6WjWrBkeP36M6OhoqWtjKrpbt26hR48eaNasGWbNmoX79+/j2rVrCAgIAGMMjRo1QqdOnTB06FCsXbsWBw8exNKlS7FgwQLqDSKEEFLlUfJThSUmJkJHRwcJCQmV9v4njx49Qs+ePRERESHvUErV4MGD0ahRI/zxxx+FTpucnMwPlfP19cWDBw+go6ODNm3a8MlQgwYNytU1IhcuXMDixYvx+PFjANmFIlq0aIF27dqhffv2aNasGYDs93RKSgr27t2LBQsWwNXVFRcuXJBn6KVi5syZ2LJlC44ePQo3Nzc8fPgQt27dwuXLl/Ho0SOkpqbCwsICwcHBUFVVxadPn2BsbCzvsAkhhBC5o+SnCqsKyc/Zs2excOFCPHv2TN6hlCobGxts2LCBv7dNUWRkZMDPzw++vr64desW7t69y98vp3379ujUqRPq1asn954hkUiEffv24fjx4/D390dsbCyA7AIRBgYGcHJyAsdx8Pf3x7dv31CvXj1s2rQJHTt2lGvcpSEtLQ2dOnXCu3fv8ODBA9SpUweMMbx58wY+Pj64desWzp8/j/T0dGhqamLQoEFo164dOnXqVGl7eQkhhBBZUPJThVWF5OfLly94//59pbrgPbekpCTo6Ojg69evJXJtU1ZWFh4/fgxfX1/cuHEDt2/fhp6eHjp27Mg/5FUggzGGqKgo3L17F97e3nj9+jU+fPiAsLAwANmJkEgkgqurK5YtWwZ7e3u5J20lTVK57dKlS+jbty86deqEQ4cOSX2G/f390bZtW6SlpcHU1BTfvn2DqakprKys4OHhUemKfxBCCCGyouSnCqsKyU9VcOfOHQwYMABfv34tlfYzMjJw//59eHt74/r163j06BHq1KmDTp06oWPHjujQoQN0dHRKZdnfIxaLERMTgy9fviAxMRHv37+HiooKnJycUK1aNejq6vLXDVVWc+bMwbp163DgwAEMHToUmZmZUFZWxtq1azF37lz069cPU6ZMwZEjR3D16lWEhIQgNjaWPu+EEEKqLEp+qjBKfiqHf/75B1evXsX58+fLZHkJCQnw9fWFt7c3vL29ERgYiBYtWqBbt27o1q0b7OzsysX1QpU58ZGsW1JSEjp37ozAwEBcuHABzZs3R1paGurVq4fQ0FAEBgbCysoK0dHRePDgAYRCIfr06SPv8AkhhBC5oeSnCqPkp3IYMWIEatasiaVLl8pl+Z8/f8aVK1dw+fJleHt7Q1VVFV27dkW3bt3QuXNnusaklEgSIC8vLwwbNgzt27fHhQsXsHPnTkyYMAFdunTB5cuXqcIbIYQQkoP8T88SQn7I06dPYW9vL7fl16xZE2PHjsXJkycRHR2NEydOoEaNGli3bh2qVasGJycnLFmyBE+ePAGdayk5kl6tvn37YsqUKbh06RL27NmDHTt2AAB+++03flra7oQQQkg26vmpwqjnp+KTVPP6+PEjLCws5B1OHhEREbh8+TLOnz+PK1euQEtLCz179kSvXr3QoUMHqKuryzvECk3S+xMTE8Pf2DYzMxN2dnZ48uSJvMMjhBBCyh3q+SGkAnvx4gV0dHRQs2ZNeYeSLxMTE7i7u+O///5DdHQ09u3bB1VVVUydOhWGhobo1asXdu7cyVdrI0Uj6f0xMDDArFmzULt2bQD/6/URCoVyi40QQggpj6jnpwqjnp+Kb8eOHThx4gSuXbsm71CKRHJPmnPnzuH8+fO4f/8+HB0d4ebmBjc3N1hbW8s7xAopNDQUZ8+exa+//irvUAghhJByiZKfKoySn4pvwoQJ0NHRwerVq+Udyg+JiorC2bNncerUKVy7dg1169aFm5sb+vbtCzs7u0pbta2kSHbjObdTZa52RwghhBQXJT9VGCU/FV9cXByysrJgbGws71BKTGJiIi5duoRTp07hwoULMDAwgJubG/r16wcXF5dyUUa7vJLcADW/ZIgQQgghlPxUaZT8kPIuIyMD169fh5eXF06fPg0VFRX0798fAwYMQPPmzSttIiRJYoryP8nzQqEQioqKAKj3hxBCCMmNkp8qjJIfUpFkZWXBy8sLq1evRkhICNTV1dG/f3/0798fzs7OlTIRCgwMhIWFBTIyMiAQCKChocH/r6AkaMaMGbCwsEDfvn3LbSEMQgghRF4U5R0AIYTIQklJCSkpKVBRUUF4eDhu3LiB48ePo3v37tDS0kL//v0xaNAgODo6VujejvDwcOzZsweXL19GaGgo4uLi0Lp1a1hYWKBhw4bo3Lkz6tatyyc+YrEYHMeB4zg8evQIW7duRVZWFg4dOoQHDx7QDU4JIYSQHCj5IYRUGOfPn0fPnj2hpKSErl27omvXrti2bRuuX7+OY8eOoWPHjjA1NcWQIUMwZMgQ1K1bV94hF8nXr18xZswYXL58GQBgZmaGpKQkXLx4EQCgpqaGWrVqoWvXrhg2bBjs7e3z9P6MGjUKJ06cQIcOHSjxIYQQQnKhYW9VGA17IxVJeno6DA0Nce/ePTRp0iTfadLS0nD+/HkcPnwYFy9ehK2tLYYOHYqBAweiWrVqZRxx0U2ePBlbt27Fzz//jJEjR6JevXpITU3F1atX8fjxYwQEBCAwMBCZmZlo1KgRhg0bhiFDhsDc3JwfBhcXFwc/Pz+0atVKapgcIYQQQij5qdIo+SEVyeXLlzF+/HgEBwfLNKwtLi4OJ06cwOHDh3Hnzh20b98ew4YNQ9++faGpqVkGERdNbGwsatSoAXNzc9y6dQsmJiZS/09KSsLjx49x8+ZNXLp0CU+fPoWWlhZGjhyJv/76C8rKynKKnBBCCKk4Kt8VwoSQSkky5E3W63n09PQwduxY+Pj4ICgoCF26dMG6detQrVo1jBgxAj4+PhCLxaUctexu3LiBtLQ0tGvXDiYmJsjIyACQfU0PYwxaWlpo164dFixYgA0bNmDMmDFITEzE+vXr0aNHD4SGhgL43z1/CCGEEJIXJT+EkHKPMYZz586hV69exZq/Ro0amD17NgICAnDnzh3o6upiwIABqF27NhYtWoSPHz+WcMRFZ2BgIPW3iooKAEAgEPAJH2MMioqKcHFxwdatW3HgwAHUqFED169fx/nz5wGgXCV0hBBCSHlDw96qMBr2RiqK58+fw8XFBdHR0VBVVS2RNjMzM3Hp0iXs27cPFy5cgLOzM9zd3dG/f3+5fB4CAwPh5OSE9PR0HD58GG5ubnwik7uoQc4y14cPH8awYcNgYWGB58+fQ0tLq8xjJ4QQQioK6vkhhJR758+fR+fOnUss8QEAZWVl/PTTT/Dy8kJYWBj69++PrVu3wtTUFKNHj8b9+/fLbAgZYwy1atWCu7s7MjIy4OHhgSdPnkAgEEAgEIAxJtWjI3kOAAYOHIhWrVohMzMTwcHBZRIvIYQQUlFR8kMIKfd+ZMibLAwNDTFlyhQ8fvwYd+/ehZqaGlxdXdGoUSNs2LAB0dHRpbZsAOA4DoqKipg1axacnZ1x+/ZtODo6Yvbs2fj06RM4juN7ekQiET+fWCyGgoICxGIxoqKiIBQKSzVOQgghpKKjYW9VGA17IxVBZGQkqlevjrCwsDwV0EpTWloaTpw4gd27d+Phw4fo06cPxowZgw4dOuQZhlaSPn78iN9++w0nTpwAAFhZWeHnn3/G4MGD8y3x/fDhQ7Rr1w5WVlZ4+fJlqcVFCCGEVAaU/FRhlPyQisDT0xPbtm3Dw4cP5RbDu3fvsGfPHnh6ekJTUxPjxo3DqFGjYGxsXCrLS0lJwZ49e3D48GE8fvwYIpEIhoaGaNGiBYYMGQIbGxvEx8cjOjoaK1euxNOnT7Fnzx6MHDmyVOIhhBBCKgtKfqowSn5IRdCvXz/Y29tjwYIF8g4FmZmZOHv2LLZt24a7d++iX79+mDhxIlq2bClzCW5ZicViBAYG4tChQ7h58yaePn2KlJQUAIC+vj6Sk5ORmZkJABg3bhy2b99eossvr1JSUujmrYQQQoqNkp8qjJIfUt4xxtC+fXts3LgRtra28g5Hyrt377B9+3Z4enrC3NwcEydOxLBhw0r8s8QYw9evX3Hnzh08e/YM58+fR1xcHAwMDFC9enWMHDkSrq6uVaLK25s3b9C/f394eHigU6dO8g6HEEJIBUTJTxVGyQ8hPy41NRXHjh3Dtm3b8ObNGwwdOhS//vorGjduXGrLDA4OhpGREZSUlKCsrFxqyylvunTpAm9vb/zzzz+YPHmyvMMhhBBSAVG1N0II+QHq6uoYOXIk/Pz8cPPmTQiFQjg7O6N9+/Y4deqUVHW2kmJpaQkNDQ0oKyuXWTlueTt69Ci8vb3Ru3dvjBs3DgBKZdsSQgip3Kjnpwqjnh9CSkdMTAx2796NLVu2QCAQYPLkyRg9ejT09PTkHVqFJBQKYWZmhvT0dJw+fRrt27eXutHr27dv8enTJ4SGhsLFxQXVq1eHrq5uqVblI4QQUjHRN0MBPn36hF27dmHs2LGwtbWFoqIiOI7D8uXLi9Xe4sWLwXHcdx9v374tcH7JcBpTU1OoqqrCysoKs2fPRnx8fDHXkBBSWgwMDDBv3jwEBQVh3bp1OHfuHMzNzTFhwgS8evVK3uFVOHPmzEFUVBTGjh2L9u3bA8i+0evHjx8xadIkODs7o0ePHpgwYQKaNGmCSZMm4dSpU/z+kc7xEUIIkVCUdwDl1caNG7Fx48YSb7dGjRqoWbNmvv9TV1fP93kfHx/06NEDaWlpMDIyQsOGDfH27VusW7cOp06dwr1798r0/ieEENkoKiqiX79+6NevH549e4ZNmzbB0dERrVq1wowZM9CtWzfqnSjEixcvsHHjRjRu3Bjz58+Xen7evHm4fPkytLS00KBBA+jp6eHu3bs4fvw4bt26hTlz5mDGjBklXomPEEJIxUXfugUwNDREz549sXTpUly6dAn9+vUrkXZHjRqFO3fu5PvILylKSkrCwIEDkZaWhqlTpyIsLAyPHz/G58+f0bJlSwQFBWH06NElEhshpPTY2dlhz549+Pz5M9q2bYtRo0ahUaNG2LNnD9LT0+UdXrk1YcIEAECTJk2kkpi///4bly9fxuDBg3HmzBk8fvwYt2/fxoMHD9CpUyeEh4dj1qxZWLZsGUQiEcRisbxWgRBCSDlCyU8BFixYgHPnzuHPP/9Et27doKmpKZc4tm/fjqioKNSvXx/r16+HkpISgOxhNYcPH4aioiIuXLiAJ0+eyCU+QkjRGBkZYcGCBQgODsbs2bOxfv16WFhYYNmyZYiOjpZ3eOXKly9fYGJigmrVquH06dP49ddfcenSJXh5eeH06dOws7PDgQMH0K5dO6ioqEAkEsHJyQlXr17F3LlzwXEczpw5g5SUFOphI4QQAoCSn3LPy8sLADBixAgoKChI/a9mzZr8vS5OnDhR5rERQopPVVUVo0aNwsuXL7Fv3z74+vqiZs2amDhxIt6/fy/v8MoFc3NzrF+/HosXL4adnR1OnDiBiRMnYvXq1UhOTsaqVasgEAj4qm8KCgr87yNHjoS5uTmePHkCHx8fea4GIYSQcoSSnzLm4+OD/v37o0OHDvj555+xZs0ahIeH5zutUCjE48ePAQAtW7bMdxrJ8w8fPiydgAkhpYrjOHTr1g3e3t64d+8eIiMj0bBhQ7i5ucHPz0/e4cmdpaUlxo0bhw0bNmD27NlQVlbGo0eP0KxZM7Ru3RoApE4MSX63sbFBkyZNABR8PSUhhJCqhwoelLFbt25J/X3y5EksXrwYW7duxYgRI6T+FxwcjKysLABA7dq1821P8nxgYGDJB0sIKVN2dnaoV68eUlJSYGVlhQ4dOsDJyQnz589H586dq+SF+4wxcBwHR0dH2NjYoHnz5vDy8oKurm6B9/kRiURQUFBAVlYWNDQ0qNobIYQQHvX8lBFTU1P8/vvvePToEWJiYpCamoq7d+/C1dUVaWlpGDVqFM6dOyc1T1xcHP97QfcHkTyfc1pCSMWUkZGB3bt3Y9asWVi7di0+f/6M9u3bY8iQIXB0dMR///1X5W7sKUn4GGPQ0tJCnz59sHDhQowePRqampp5EhtJ4hMQEIDr16/DyMgIjo6O8gidEEJIOUTJTxkZP348VqxYAUdHR+jr60NNTQ0uLi64cOEC3NzcwBjDjBkzpL7Ic1aAUlZWzrddFRUVAEBaWlrprgAhpNSdPHkSurq66NixIwBAX18ff/75J0JCQjBixAjMnj0b9evXx+7du5GRkSHnaMsWx3H8/rFOnTqwtbXln5dgjPHD3tatWweRSITJkydDX1+/7AMmhBBSLlHyI2ccx2HVqlUAgI8fP+L58+f8/1RVVfnfMzMz851fcgCkpqZW7BgSExOL/KhqB16ElIWtW7di4sSJeSqTaWhoYMqUKfjw4QMWLFiADRs2oHbt2ti4cWOVOvFR2LA/yf83btyIgwcPwtHRETNnziyL0AghhFQQlPyUA9bW1vyZyQ8fPvDP5xzqVtCwNsnzBQ2Lk0WNGjWgo6NTpMfKlSuLvTxCSF4BAQF4+vQp3N3dC5xGSUkJw4cPx4sXL7B582Z4enqiVq1aWLt2LZKTk8sw2vIpNDQU06ZNw4wZM2BmZoYtW7bIOyRCCCHlDBU8KCck9+8RCoX8c5aWllBSUkJWVhaCgoJgamqaZ76goCAAQN26dYu97NDQUGhraxdpHslwO0JIydi6dSuGDBki04kMgUAANzc39OnTBxcuXMDSpUuxatUqzJo1C7/++muRP8+VRUpKCj5//oy6deti4cKFaNasmbxDIoQQUs5Qz085EB0djcjISADZ97WQUFRURNOmTQEAd+/ezXdeyfPOzs7FXr62tnaRH5T8EFJyEhIScPDgQUycOLFI83Ech549e+Lhw4c4dOgQzp8/D0tLSyxZsqTCFUHJXchBLBYDQJEqtdWrVw8HDhzApUuXMHDgwBKNjxBCSOVAyU85sH79ejDGoKOjk+dMZd++fQEAnp6eeQ4OPn/+DG9vbwBAv379yiZYQkiJ27dvH5o0acKf7CgqjuPQtWtX3LlzBydOnMDNmzdhaWmJxYsXIyEhoYSjLR1CoZDv5QbAX/ckKXSQXxKU+zmxWAxNTU3Url0bioo0sIEQQkhelPyUIA8PD1haWmLQoEFSz7969QqTJk3Cq1evpJ5PT0/HX3/9hdWrVwMA5s2bl6eq24QJE2BoaIg3b95g5syZ/H1/YmJiMGTIEAiFQri6usLBwaEU14wQUloYY9i6dSt+/fXXH26L4zh06NABPj4+OHv2LHx8fGBpaYkVK1YgKSmpBKIteenp6fDy8sJPP/0Ee3t7tG7dGk5OTli6dCm8vLwQFRUFjuPAcRzfGyQhKXDw6NEjAMhTKIIQQgjJg5F83blzhxkYGPAPFRUVBoCpq6tLPf/582d+nkWLFjEArG3btlJtPX36lAFgAJiRkRFzcHBgDg4OTF1dnX9+9OjRTCwW5xuLt7c3U1VVlZpfMq+lpSX79u1bsdYxISGBAWAJCQnFmp8Q8uO8vb2ZoaEhS0tLK/G2xWIxu3btGmvevDkzNDRka9asYSkpKSW+nB8xf/58pqioyDiOYyoqKszAwIBxHMc4jmOmpqasR48e7PDhw1L7R7FYzP/t6+vLqlWrxgYNGsTu3r0rr9UghBBSQdBpsgJkZWUhJiaGf0hKO6empko9L8sNBy0tLbFs2TK4urpCU1MT7969w4sXL6Cvr4+ff/4Zly9fxu7duwss49qxY0f4+/tj0KBB4DgOL168gImJCWbOnIknT56gWrVqJbruhJCys3XrVowePVqqtH1J4TgOnTp1wr1797B//34cP34ctWvXhoeHh9R9xOTF19cXq1evhpmZGa5du4Z79+7h6dOn+Oeff9CtWzdwHIeLFy9i0qRJGD16NAICAgCA7wkCgFu3biErKwvHjh3DmTNn5Lk6hBBCKgCOsSJcTUoqlcTEROjo6CAhIaHKVociRJ6+fPmC2rVr4/3797C0tCz15THGcO7cOSxcuBBRUVFYuHAhRo0axVebLGtdu3bFtWvXcOLECf76Rono6GhcuXIFZ8+ehbe3N+Lj49G6dWvMnj0b3bp1g4KCAjiOw6dPn+Dl5YWrV6/ixIkT0NLSksu6EEIIqRgo+anCKPkhRL7i4+Nx7do19O/fv0yXKxaLcfLkSfz5558QiURYvnw5+vfvX6bXzISFhaFz584QCoV4/fo1FBUV+Wt6cvbsBAUF4eTJkzhw4ABevnyJli1bwsPDQ+o6R7FYjOjoaBgbG5dZ/IQQQiomSn6qMEp+CKnahEIh9u3bh0WLFsHY2BgrV65Ely5dChyCW5ISExPh4OCAxMRE3Lt3D1ZWVlL/Z4zxcUh6rBYvXoxnz57BwsICZ8+eRePGjSEUCqmyGyGEEJnRNT+EEFJFKSoqYvTo0QgMDMTQoUMxZMgQdOjQAQ8ePCj1ZSspKaF+/fqIiorCrl27kJmZCcaYVO8P8L8kqHfv3vjvv//QvHlzhISE4PTp0/w6EEIIIbKi5IcQQqo4NTU1zJo1C0FBQWjVqhU6deoENzc3vHnzplSXOWXKFGhra+PAgQM4e/YsOI6DQCCQKmktuc+PWCyGlZUVFi5cCADYtWsXwsPDSy0+QgghlRMlP4QQQgAAOjo6WLZsGT5+/AgzMzM0bdoUEyZMKLUkw8nJCa6urvj27RsGDBiAuXPnIiEhgb/2SFJNU5IUAdnVL+3s7PK97w+pOmSptEoIIfmh5IcQQogUExMTbN68GQEBAYiKikLdunWxdOlSpKSklOhydHR0cOTIEUyfPh0CgQBr165Fnz59cO7cOQCAgoICGGNgjPEHu4wxJCUlITMzEwkJCSUaDyl/nj17hqtXr+LAgQM4fPgwbt++DbFYzCfDdNkyIaSoqOBBFUYFDwghsrhz5w5mz56Nz58/Y9myZRgxYgQUFBRKrP2EhARs3boVe/fuxYcPH6Crq4uePXtixowZsLe3l5p2y5YtmDJlCnr16kX39amkxGIxnj17ho0bN+LixYuIiYmR+r+TkxMGDBiAAQMGwNzcXCoZIoSQwlDyU4VR8kMIkRVjDCdOnMD8+fOhrq6ONWvW8DciLQlCoRDe3t7YsWMHfHx8kJiYCAAYNGgQmjVrBo7jEB4eDg8PDwDAkydP0KBBgxJZNik/srKysGnTJhw8eBDPnj3jr/lq3LgxkpOTkZqaioiICHAchxYtWsDT0xN16tShBIgQIjNKfqowSn4IIUWVkZGBbdu2YdmyZXB0dMT69evRsGHDEms/NjYWXl5euHjxIl/RTXIADAA2NjaYOXMmxo4dW2LLJOVDRkYG/vzzTxw7dgyhoaFQVlbGr7/+ihYtWqBfv35IT09HYmIibt68iZ07d8LHxwe1atWCt7c3atWqRQkQIUQmlPxUYZT8EEKKKy4uDkuXLsX27dsxZswYLF68GAYGBiXWfmJiIoKCgrB//35kZWUhJSUFjRo1Qp8+fVC7du0SWw4pH7KysrB69Wps374dX79+hZaWFv777z+0bdsWKioqALKLHEiGW4rFYgwePBj//fcfGjRoAB8fHxgZGUndH4oQQvJDyU8VRskPIeRHvX37FrNmzcL9+/exePFiTJw4EUpKSiW6DDqgrfxu3bqFMWPG4MOHDzAyMsLVq1dha2vL/z/neyBnEtSjRw9cunQJI0eOxJYtW6CqqiqX+AkhFQclP1UYJT+EkJJy+fJlzJgxAxzHYf369ejWrVuJL4OSoMopPT0d7du3x8OHD2FiYoLTp0/D2dn5u8PYJAlQZGQkWrVqheTkZJw8eRItWrSg9wkh5LtocCwhhJAf1q1bNzx//hwTJkzA4MGD0aNHD7x7965El0EHtJXTgwcP8O7dO2hoaGDatGlwdHQEY+y71+8oKChALBbDwMAAQ4cORXh4OC5evAiA3ieEkO+j5IcQQkiJUFJSwtSpU/HhwwfUqlULdnZ2mD9/PpKTk+UdGinHHj58iPj4eHAch44dO0JBQUGmBEYgEEBBQQHdu3cHAJw9ezZPWWxCCMmNkh9CCCElysDAAJs3b8b9+/dx584d1KtXD8eOHaMbUpJ8SRKWLl26oFmzZkWe38zMDNWqVcP8+fNLtOgGIaRyouSHEEJIqbCzs8Pt27excuVKTJs2DR07dsSrV6/kHRYpZyQFMhQVFQFkX89TFNWrV8fZs2cxePDgEo+NEFL5UPJDCCGk1HAch19++QXv37+Hvb09HB0dMXPmTP4mpoRoaWkBAMLCwiAUCvlKbrIQi8UAAEdHx1KJjRBS+VDyQwghpNRpa2tj3bp18Pf3x7Nnz2BtbY1Dhw7RUDiC/v37o0aNGggLC0NgYCCA/yU1haGbmhJCior2GoQQQspMw4YNcf36dcydOxcTJkxA586d8f79e3mHReRIV1cXbdq0QXBwMPbv3w8gO6kpLAH60f8TQqomus9PFUb3+SGEyEufPn1gYGAADQ0N7N69G3PnzsX8+fPpJpUFYIwhPT0dampq8g6lVNy+fRvdu3dHSkoKdu3ahdGjR8s0X2hoKC5fvoz79+8jKysLOjo66N69O1q1agVtbW2pG6ISQghAyU+VRskPIUQebt++jR49eiAwMBAmJibw9/fH+PHjkZSUhK1bt6JTp07yDrHc8fT0xNWrVzFhwgS0adNG3uGUiqNHj2LIkCEAgB07dmDs2LH8/0QiEQQCAV8COzMzE1evXsW4ceMQHR0NoVAIjuPAGIO2tjZat26NgwcPQkdHB0KhkC+mQAghNOyNEEJImWGMYfbs2Zg7dy5MTEwAZF+s7ufnhylTpqBfv378TStJtnXr1mH06NE4f/48wsLCkJmZKe+QSsWgQYOwfft2AMD48eMxfvx4nDp1CgCQnp7OJz4pKSnYuXMn+vXrh/DwcFhZWaFNmzZYsWIFRo0ahRo1auDChQvo2rUrUlNToaioSEPgCCH/w0iVlZCQwACwhIQEeYdCCKkijh07xkxNTVlycnK+/w8LC2MDBgxgOjo6bMeOHUwkEpVxhOXLqVOnGMdxrFq1aszX1/e704rF4jKKqnQdPXqUOTo6MoFAwDiOY0ZGRmzWrFksMzOTMcbY9u3bGcdxjOM41qtXL+br68tiYmL4+RMTE1mbNm0Yx3Fs6NChVf49RAiRRsPeqjAa9kYIKUsZGRlo0KABfv/990Kv6bh06RImTJgAS0tL7Ny5EzY2NmUUZfnx7ds3tG7dGl+/fsXhw4fRp0+fPNOkp6dLXSclFosrRQW0t2/f4vHjx1izZg3MzMywd+9emJiYwNvbG126dAEADB48GB4eHjAyMgKQ3asoEomgqKiIyMhIODo6IisrCydPnoSLi4s8V4cQUo5U/D0kIYSQCmHbtm1QV1fHiBEjCp3W1dUVr169gr29PZo2bYq//voLWVlZpR9kOeLt7Y2goCCMHj1aKvH5+PEjPD090bVrVzg6OmLixInw8PBAeHh4pUh8AKBevXoYOnQobty4gXPnzsHExASJiYnw8PAAkP3+WLFiBZ/4ANn3lFJUVIRQKIS+vj5sbGwQERGB58+fy2ktCCHlEV0BSAghpNTFx8dj2bJlOHjwoMzVtzQ1NeHh4YHBgwdjzJgxOHr0KHbv3g0nJ6dSjrZ8CA4OBpDdwyHx9OlT/PHHH7hx4wZ/7c/r16+hpKSEQ4cOYc2aNWjfvr08wi0VBgYG/O/Jycl49OgRAKBr166oUaNGvvNIihtIEqPk5ORSjpIQUpFUjlNEhBBCyrWVK1fCzs4O3bp1K/K8zs7OePz4MQYMGIB27dph5syZSElJKYUoyweRSAQACAsLk/o7KioKCxYswOXLl9G3b19s3LgR+/fvx+DBg2FpaYnHjx9j8ODBOHbsmNxiL00RERGIjo5GjRo14O7uDgUFhQJvkvvixQtcu3YNAKh8OiFECiU/hBBCSlVISAg2bdqEv//+m6/YVVTKyspYsGABnjx5An9/fzRq1AjXr18v4UjLB0nPWP369QEAV69ehVgsxu3bt3Hp0iUMGDAAhw8fxpQpUzBs2DBs3rwZK1asQOfOnREZGYktW7bwvUaViVAoBGMMiYmJSEhIgEgkyvf9JBQKcevWLWRkZKBGjRpo1apVgW1KEktCSNVByQ8hhJBS9eeff6Jfv35o2rTpD7dVr1493Lx5E3PmzEGfPn0wYcIEJCYmlkCU5U/btm2hra2Nq1evIisrC9++fQOQvT2B7AN3sVgMPT099OvXD9OnT4e5uTnu3LmD06dPyzHy0mFjY4MWLVpAJBIhNjYWCgoKyMrKytP7c+PGDSxfvhzJycmwt7dHo0aN8rR1584dAPhu7xEhpHKi5IcQQkipefr0KU6cOIHly5eXWJsCgQCTJk3C8+fPERgYiEaNGuHq1asl1n55wBhDvXr10KtXLzx69AhDhw5FcHAw9PX1+WFcAoEAAoEAjDFwHAdXV1f+xqAPHjyQZ/ilQltbGy4uLkhOTsaYMWOQnJwMJSUlvvcnMjISx48fx5AhQxAREQEnJyfs3LkTioqKUj08K1euRJs2bTBt2jQAKHZvJCGkYqLkhxBCSKl5/fo15s2bBwsLixJvu1atWvD29sYff/yBn3/+GWPHjkVCQkKJL0ceOI6DqqoqZs6cCQMDA3h5eWH//v2IjY3F+fPn+WkkPyUH95KSzl+/fpVP4KVs5cqVaNeuHZ48eYK2bdti3759uHnzJrZs2YI5c+Zg1KhRiI2NhYuLCzZt2gRjY2OIRCIoKChAJBJhwYIF+OOPPwAgT48P9QARUjXQfX6qMLrPDyGksggJCcHYsWPx5s0b7Nq1q1iFFcobSY/OzZs3MX78eAQGBgIAOnXqhFWrVsHe3p5PgLKysqCkpIQLFy6gV69eGDt2LLZt2waO4ypdz0Zqair69OkDb29vAODLWwsEAojFYvTs2ROrV69GvXr1+HXPzMzEH3/8gXXr1gEAmjZtitmzZ8PS0hLm5uYwNzcH8L9tTgipvCj5qcIo+SGEVCaMMezZswezZs3Czz//jA0bNlSKfVtmZiauXbuGVatW4e7duwCAXr16Ye7cuWjUqBF0dHQAZFeD69OnD+7fv48jR45g4MCB8gy7VCUlJWHnzp3w9fXF8+fPkZKSgu7du6NJkyaYNWuW1LRpaWmYN28eNm/eDCD7Oh9dXV3ExsaCMYZGjRphyZIlcHNzA0AJECGVHSU/VRglP4SQyig0NBSjRo1CYGAgPD090a5dO3mH9MOysrLw6NEjeHp6Yvfu3QCyiz80b94cDg4OEAgE8PT0xKNHjzBs2DDs379fzhGXncTERP7GphJCoRCKiopISkrCzJkzsWfPHgDAr7/+ipYtW6JXr154//49Ll68yBeQqOwJIyEkGyU/VRglP4SQykosFmPbtm2YN28exo0bhxUrVkBNTU3eYf2w8PBw+Pr6YsGCBfj48aPU/zQ1NeHq6lpp7/MjK7FYDIFAgPj4eEyePBmHDx8GAGzZsgXDhg2DlpaW1PRbtmzBlClT0KJFC9y8eRNKSkryCJsQUkYo+anCKPkhhFR279+/x/Dhw5GYmIj9+/fD0dFR3iGBMQaxWAwFBQX+QF3yU1ZpaWk4cuQIoqOj8ebNG1SvXh29e/dGgwYN8hzcV0VRUVGYOHEivLy8wHEcPD098csvv/D/Z4yBMcZXy9u0aRPc3d2ho6ODkJAQWFhYFPk1IYRUDJT8VGGU/BBCqgKhUIjVq1djxYoVmDdvHn7//Xe5n92XXFeSlJRU5GRFUr0sd1sk27dv3zB27FhcvHgRKioq2L9/P/r375/vtDm3XUZGBpYtW4aVK1fiypUr6NSpU1mGTQgpI5T8VGGU/BBCqpKnT5/il19+gZqaGg4cOIB69eqVeQzh4eE4ceIELly4gPj4eKirq6NFixbo27cvLC0t+etWCut1oIQnfyEhIRg4cCD8/PygpaWFgwcPolevXoXOFxkZic2bN+Ovv/6CWCzG9OnTsX79+jKImBBS1ipU8hMSEoKvX78iKioK6enpMDAwgJGREerWrVspxnKXNUp+CCFVTXp6OhYsWIDt27dj3bp1GDduXJklEZmZmejcuTNu376d539WVlbo2LEjBg0axBdoyJ0A5f47dw8QAR4+fIgWLVpAVVUV586dQ8eOHQud59u3b9i4cSPWrFkDAGjfvj127NgBY2NjKCkpQU1NjbY1IZVIuU5+0tPTcezYMVy+fBm+vr6IiIjIdzpFRUU4ODigbdu2GDJkCBo3blzGkVZMlPwQQqqq69evY/jw4XB0dMTu3bthZGRU6sscNmwYDh8+jJ9++gmLFy9GfHw84uPjsXLlSrx8+RLp6emoV68exo0bh6lTpwL4Xw+PJPFhjOHIkSPo378/lJSUqAcoH5cvX4aqqqpMVf6+fPmCDRs2YMOGDQCybxirra2NtLQ0qKqqomfPnlizZg2qV69OCRAhlUS5TH6CgoLg4eGBgwcPIiEhQea7Lku+AJo3b45JkyZhyJAh9KXwHZT8EEKqspiYGIwbNw737t3Dvn370KVLl1Jblre3N7p06QI7OzvcvHlTap+bnJwMT09PHD16FA8ePICGhgbGjh2L33//Xap8MwDMmTMH//zzD/r27YtVq1bBwsKi1GKu7IKDg/H3339j27ZtAICRI0eiWbNmcHJywvv37/Hvv//C29sb1tbW8PX1hYmJiZwjJoSUCFaOxMbGsunTpzMVFRXGcRzjOI5ZW1uzMWPGsF27djF/f38WHBzMEhMTWVZWFouIiGBv3rxhFy9eZIsWLWLdunVjampqjOM4JhAIWJMmTdjly5flvVrlVkJCAgPAEhIS5B0KIYTIhVgsZnv27GGampps+vTpLC0trcTbZ4yxgwcPMo7j2Jo1axhjjF+OUCjkp7116xYbOXIk09LSYpqammzq1KksLCyM/390dDSbNm0a09fXZxzHsStXrpRorFXJhw8f2OjRo/ljjQ0bNjDGGBOJRFLT9ejRg3EcxyZOnMi/loSQik1R3slXTnXq1EFcXBwMDQ0xdOhQDBs2DA4ODgVOb2xsDGNjY9SrVw+urq4Asu/6fOLECRw4cAA3b95E9+7d4eHhgSlTppTVahBCCKkgOI7DqFGj0Lp1awwdOhTOzs44fPgwGjZsWGLtA9k97QDw+fNnAICqqioASJW7bt26NapVqwYdHR14enri0KFDsLa2xq+//goAMDAwwKxZs6ChoQENDY1S7amqzN69e4fly5fj0KFDAIB///0XI0aMAAD+mirJTVL37NmDlStXYurUqTSShJBKolwNezMyMsLs2bMxefJkaGho/HB7fn5+WLx4MVq0aMHfwZn8Dw17I4SQ/8nKysKSJUvg4eFR4sUQrl+/js6dO6Nhw4Y4ceIEbGxspK4hYTmu3YmMjMSyZcuwZcsWaGlp4cqVK2jevDnfVnp6Op88EdkxxvD69WssXrwYJ0+eBAAcPXoUAwYMAJC3oIQkAUpLS+OLKtG9fwip+MpV8pOSklIiSU9ZtVvRUfJDCCF5+fj4YOjQoWjZsiV27doFXV3dH24zKSkJvXv3hq+vL2bMmIF169YBKPiePUKhEIMGDYKXlxcGDx6MAwcOAMjuSaIeiOJ59OgRli5digsXLgAAzp49i549ewLIWzo8Z5KTlJSEyMhIiMViCIVC1K9fn5+OiiAQUvGUq9MXpZWgUOJDCCFEVu3bt0dAQABSUlJgZ2eHBw8e/HCbWlpaGDlyJABgw4YNmDRpEjIzM/lhbxIcx0EkEkFRURELFiyAjo4OHjx4gKioKAgEAkp8fsDjx49x4cIFcByH69evo2fPnmCM5VsxT5L4/P333/j5559hZ2eHpk2bokmTJujfvz927NgBIHvYokgkKvN1IYQUX7lKfgghhJDywMjICOfPn8fUqVPRsWNHrFmzRipJKY7hw4fjn3/+gYaGBrZv3w53d3eEhITwB9qS9iU9CdbW1jA3N0dkZCSSk5N/bIUIJkyYgEmTJuHGjRto3749X0k2v4Tyy5cvcHNzw7x58+Dt7Q0jIyM4ODjAzMwM586dw8SJEzFx4kQAlAARUtGUq2FvpGzRsDdCCCnco0ePMGjQINSpUwf79+//oZLHycnJ2LBhA7Zs2YLIyEi4uLhg8eLF6NSpE4Ds4VeSnp+MjAw0aNAAQPa9a+rWrVsi60Pyv3ZHMoQtMjISv/zyC65duwaO4+Dg4ABPT080aNAAISEheP36NYYMGYKEhARMmjQJmzdvBpB36BwhpHwqV8nP0qVLS6ythQsXllhblRUlP4QQIpuEhASMHz8eN2/exOHDh9GhQ4dit5WRkYEdO3Zg+/btePv2LbS0tDBt2jTMnTsXysrKUFZWBgAsWbIES5YsQd++fXHixImSWhVSiJ49e+LixYvQ0NCAgoICEhMTpZIcAAgICECbNm2QlJSEXbt2YfTo0XKMmBBSFOUq+SmJ8cySMy/UBV04Sn4IIUR2jDHs3r0b06dPx/z58/HHH38Uu/KXWCyGt7c3tm7dirNnzwIAbG1tYWtri+rVqyM4OBhHjx6FoaEhnjx5AnNz85JcFZKL5Nhh9+7dGDduHDQ0NLBr1y7Y2NigXbt2SEpKwqxZs/D333/z85w4cQIDBgzAoEGDsG/fPigqKuY5hqGCCISUP+XqPj9t2rQpMPl59uwZEhISAABmZmb8F0FYWBi+fPkCANDV1YWtrW3ZBEsIIaRK4TgOY8eORbNmzdC/f3/cvXsXBw4cgJGRUZHbEggE6NKlCxo3boxevXph2bJlCAgIQEBAAD+Ng4MD1q9fT4lPGZAcezx79gwAYGNjg8aNG6Nhw4a4fv06WrVqhXXr1kFDQwOLFy/mp9HS0sLNmzcRExODatWqSbUpFov5xCcgIICOTwgpJ8pVwYObN2/Cx8cnz6N58+ZISEjA4MGD8e7dO4SGhuL+/fu4f/8+Pn/+jPfv32Po0KGIj49HixYt4OPjI+9VIYQQUknZ2dnB398fmpqasLe3x71794rdlqmpKUaPHo0XL17g2LFj2LFjB1asWIFLly7h1KlTaN26dQlGTgoiFouRkZEBX19fAECfPn3QsGFDiMViODo64urVqwCyh+evXLkSAFC/fn3o6upCRUUFSkpKUu2JRCK+V3DFihVo2rQpPD09y26FCCEFKlc9P/k5efIk1qxZk2e8bU516tTBgQMHoKOjg9WrV8PR0RF9+/Yt40gJIYRUFTo6Ovjvv//wzz//oHPnzli2bBlmzJhR7KHbWlpa6N+/fwlHSYqC4zj+eitTU1MA/6vA16ZNG1y6dAmurq74448/YGxsDG1tbYSGhqJRo0ZgjPFFFHIOdVuyZAn++ecfMMZw9uxZ9O7dG/r6+vJZQUIIgHLW85OfzZs3g+M4vpv5eyTTFJQkEUIIISWF4zhMmzYN169fh4eHB/r164f4+Hh5h0WKQSAQQFlZGU2bNgUAfP78Wep/jDF07doVJ0+eBACMHTsW48aNAwCMHj0ahoaGEAgE/FA3sViM3377DWvWrEFKSgpGjhyJ+fPnU+JDSDlQ7pOf58+fQ0dHB4aGhoVOa2hoCF1dXakx04QQQkhpat68OZ4+fYr09HQ4Ojri+fPn8g6JFJGk9lP79u2hoqICb29vMMagqKgoVUDJzc0NBw4cAAB+OH6/fv0AAFlZWRAIBMjIyMDs2bPh4eEBAPjll18wdepUODk5SS2LECIf5T75ycjIQGJiokw3eEtOTkZiYiIyMjLKIDJCCCEkm4GBAc6fPw93d3e4uLjg0KFD8g6JFIFkuGKXLl3g6OiI+/fvY8KECQD+d9NZyRC4oUOHYtu2bWjTpg1GjhwJc3NzMMagpKSE5ORkzJgxA5s3b4aSkhJGjBiBGTNm8MUO6F5AhMhfuU9+bGxsIBaLZRrKtnnzZohEItjY2JRBZIQQQsj/CAQC/Pnnnzh+/DimTJmCadOmISsrS95hkSIwNDTE7t27oa+vj127dmHChAkQi8XgOA4CgYB/PcePH48DBw7wN6flOA5xcXGYNm0adu7cCQ0NDYwePRrTpk3jb1QrmY4QIl/lPvkZOXIkGGNYsGABlixZkm8PUEpKCpYuXYoFCxaA4ziMHDlSDpESQgghQPfu3fHo0SP4+vqiXbt2+Pbtm7xDIkVgY2ODq1evwsTEBDt37kT37t1x4sQJREREQElJiR+2VqNGDX6eyMhITJkyBXv37oWuri7Gjh2LqVOnwtraWl6rQQgpQLm6yWl+xGIxunfvjqtXr4LjOKipqcHR0RFmZmbgOA5fvnyBv78/0tLSwBhD586dcenSpWLfeK4qoZucEkJI6bl58yamTZuGqKgonDhxAi4uLvIOiRTBs2fP8Pvvv+PevXtITExE69atce3aNb4inKS625cvXzBjxgycPHkSxsbGGDNmDMaPH88nR5LpCCHlQ7lPfgAgMzMT8+fPx+bNmyEUCgH8r+tYEr6ioiImTZqE1atXQ0VFRW6xViSU/BBCSOlITk6Gvb09Ro0aBS0tLcybNw+rV6/Gr7/+SkOfKpCvX7/i8ePH2LRpE1avXg17e3sA/7t2JygoCNOnT8f58+dhamqK8ePHY+zYsVKlsgUCAdLT08FxHH98QgkRIfJTIZIfiW/fvuHEiRPw9/dHZGQkAMDY2BiOjo7o168fqlevLucIKxZKfgghpOSJxWKMGTMGQUFBuH79OhQUFHD37l38/PPPcHV1xbZt2+gkXQUjSVaysrKgqKgIjuPw9u1bTJs2DdeuXUONGjUwYcIEjBkzBkZGRlLzJiYm4vfff8fXr1/Rq1cvuLm5QVdXV+p+QISQslOhkh9Ssij5IYSQksUYw9atW/Hnn38iICBA6rqQsLAw9O3bFwKBAF5eXnzvAKkYclZqCwgIwPTp0+Hr64vatWtj4sSJGDlyJPT19fNUdIuKisJff/2Fffv2IT4+Hn379sXOnTuhr68PoVAIRcVyf795QioV6nMlhBBCSsjTp0+xYMEC7Ny5UyrxAQAzMzP4+vrC2toajo6O8PPzk1OUpDgkCc3Dhw8xZcoU/rWcNm0axo4dW+ANTI2MjLBw4UJcv34dzZo1g5eXF1xdXZGYmJjnPkKEkNJXoXp+oqOj4ePjg5CQEKSmpmLhwoXyDqlCo54fQggpOYmJiejatSsaNGiAPXv2FDgdYwwbN27EH3/8gW3btmH48OFlGCX5EWFhYWjXrh0+fvyIJk2aYOLEiRg2bBg0NDT4acRiMT59+oS0tDTUrVsXioqK/PC2lJQU/PTTT7hx4wY6duyICxcu8AUUCCFlo0IkP0KhEPPmzcPWrVuRmZnJP5/zbElcXBysrKyQmpqKT58+0XACGVDyQwghJUMkEmH+/Pk4c+YMnjx5Ak1NzULnuXbtGgYOHIgRI0ZgzZo1NPypgliyZAn+/fdfLFq0CEOGDIGqqir/v9OnT+PcuXM4cOAAAKBFixbo2rUrpk2bxidIycnJaN68OV6/fo3Vq1djzpw5clkPQqqqCjHsrX///vDw8EBmZiYaNmyY7xeEnp4ehgwZgszMTJw5c0YOURJCCKmqLl26hC1btuDQoUMyJT4A0LlzZ/j5+eHKlStwdXVFbGxsKUdJSsKiRYtw5swZDBs2DKqqqnzV2ePHj2Pp0qXYt28fhEIhDA0N4efnhwULFmDw4MFIT08HAGhqamLhwoVQVFTEo0eP5LkqhFRJ5T75OXbsGM6cOQNjY2P4+/vj+fPnBY6r7d+/PwDg/PnzZRkiIYSQKiw5ORkzZszAn3/+iWbNmhVp3jp16uDBgwdQV1dH8+bN8f79+1KKkpQkOzs7KCsrQywWg+M4pKSk4MSJE3j27Bns7e1x6NAh3Lt3D4cOHYKNjQ3Onz+Prl27IisrCwBgbm4ORUVFBAQEICEhIU/7FWBQDiEVVrlPfvbu3QuO4/D333/z9fUL4uTkBI7j8OLFizKKjhBCSFU3bdo0mJmZYe7cucWaX0tLC6dOnYKbmxuaN2+O69evl3CEpLRI7tXz+PFjnDhxAgAwe/ZsDB48GJaWlujbty98fX3h4OCA27dvo0ePHgCyb92Rnp4ONTU1KCkpSbWZs1rc69evERMTU4ZrREjlV+4HGD958gQA0K9fv0KnVVNTg46ODqKioko7LEIIIVUcYwz//fcfTp06hYCAgB+6Z4tAIMDq1atRv3599O7dGxs2bMC4ceNKMFpSmsRiMYDsin4tWrTgn2OMwdjYGGfOnEGfPn3g7e2N9u3bQ1tbG0pKShg1ahTU1dX5dlJTU/m/PT09cfjwYbRp0waTJ0+Grq5uma8XIZVRuU9+EhISoKOjAzU1NZmml+yACCGEkNIUERGBf/75J9+y1sU1YsQIWFlZwc3NDa9fv8a6devoRpgVgK6uLmrWrInY2FhERkaiZs2aEIvFUFRUREZGBqpXr46jR4+iU6dO8PX1BQDY2tryiRKQfbzz999/Iy0tDS4uLvDw8MDz58+hqqqKyMhISn4IKSHlftibnp4eEhIS+AsFv+fLly9ITEyEsbFxGURGCCGkqkpJSYFQKISPjw9+/vnnEm27devW8PPzw9WrV9GrVy8kJiaWaPuk5NnZ2aF9+/ZITk7GmDFjEB0dzRdnUlFRQVpaGiIiIlCzZk0A/7v3j+QaMcYYRCIRdu7ciQ0bNmDSpEl4+fIlWrZsiREjRsDa2lpu60ZIZVPukx9bW1sA4M+UfM+OHTsAAM7OzqUaEyGEkKpLJBIhMjISpqamea7XKCm1a9fG/fv3IRaL4eLiguDg4FJZDik5e/fuRZcuXfD8+XO0bNkSR48ehY+PDx49eoQZM2Zg4sSJuHXrFnR0dLBlyxa4ubkBALKyssBxHPT19TFw4EAoKysjKioKNWvWxLp169C3b18AVASBkJJS7pOfwYMHgzGGP//8E6mpqQVOd/z4caxevRocx+GXX34pwwgJIYRUFYwxfP36FSYmJqU+HE1HRwfnz59H+/bt4ezsXKXLIue8r195du7cOYwfPx7JyckYOnQoOnbsCBcXF+zcuRPPnz+HkZERDh06xPcWZmVlQUlJCRkZGVi7di0uXboEoVAIgUCA4OBg+Pn58W3nTH4oESKk+Mp98jN8+HA4OTnh8ePHaNGiBbZv386XivT398e///6LLl26YPDgwRAKhejQoQN69uz5w8v99OkTdu3ahbFjx8LW1haKiorgOA7Lly8vVntPnz7FwoUL0bZtWxgaGkJJSQnGxsZwdXXFqVOnCpzP09MTHMd993H58uXiriYhhJAiSEhIgIqKitRF6qVJUVERmzZtwm+//YYOHTpUyfvYXbp0CadPn5Z3GDJRUlLCP//8g2fPnuHo0aOYP38+f3NTMzMzHDlyBN27dweQfQN3JSUlpKWlYf369di4cSNCQkLQu3dvLF++HAKBAFOnTsX27dsB/K+ynKS8NgCEh4fLYS0JqeBYBRAREcGaNWvGOI5jAoEg3wfHcax58+YsJiamRJY5bdo0BiDPY9myZUVu68OHD1Jt1KpVizk4ODA9PT3+OXd3dyYSifLMu3fvXgaAGRsbs5YtW+b7ePDgQbHWMSEhgQFgCQkJxZqfEEKqGqFQyMRisVyW7eXlxTQ0NJiHh4dcli8P+/btYxzHsZYtW8o7lCK7ePEia9iwIeM4jtWqVYvduXOHMcaYWCxmWVlZjDHGEhMT2aJFi5ipqSlTVlZmP/30E/Pz82OMMXb06FHGcRzjOI4dOHAgT/vHjx9nFhYW7Ny5c2W3UoRUAhUi+WGMsczMTLZ582ZmZ2fHFBQU+B0Cx3GsYcOGbOPGjSwjI6PElrds2TLWs2dPtnTpUnbp0iXWr1+/Yic/gYGBzNTUlK1evZp9/fqVf14kErFNmzYxjuMYALZp06Y880qSH3d39x9ZnXxR8kMIIRXLgwcPmJGREZs6dSoTCoXyDqdU7dixQ+q7fseOHfIOqUi+ffvGVFRUmLGxMXv69CljLDvxkbxusbGx7LfffmPGxsZMRUWF9e/fnz179kyqDck2WLduHcvMzOSf9/X1ZVZWVozjONaqVSsWFRVVZutFSEVXYZKfnJKSklhgYCB7+/Yti4uLK5Nluru7Fzv5SUtLYykpKQX+f8KECQwAa9KkSZ7/UfLzf+zdd3hT5dsH8O9Jutu06d6DJVM2sqEs2UtkL2UoU0U2IktEZCpTBGRvVPaQvWSoDBGQTfdOkzR7nPP+wZv8qBToSHtO0vtzXbkoyRl32oxzP+N+CCGEfy9eePLt8ePHXMWKFbmuXbtyKpWK73CKxbJlyziGYbjw8HCuU6dOnEgk4vr3788ZDAbeet4K49mzZ9z9+/c5jnve4GkZ4ZGRkcFNmDCB8/f359zd3bn+/ftzd+/ete73YmJ7584dTiaT5TquTCbjWrZsybVp04b75ZdfSuCZEOI4BD/nJy9eXl4oX748KlasaBd1793c3F47Pvzdd98FADx48KCkQiKEEJJParUaaWlpfIdhVbZsWfz++++Qy+WIjY11uHkfixcvxqefforo6GisXbsWU6ZMAcdx2L59O65du2ad72IPoqOj8dZbb4FlWYhEIohEIiiVSqxcuRIbNmyATqdDnz59MGvWLFSuXNm6n1gstq5bWLlyZfj6+gIAVq5ciXPnzsHX1xe7d+/G3LlzrVXjOCqCQEi+CD75OX/+PM6fPw+ZTJav7a9cuYLz588Xc1S2ZVnD6HULud66dQv9+vVDy5Yt0a1bN8yePRuPHz8uqRAJIaRUerGstZD4+fnh+PHjqFixIho1aoSHDx/yHZJNfPPNN5g4cSLKli2LVatWoX379mjcuDH69esHAFi+fLldrntkKVYAAAkJCdi9ezeys7PRt29fzJw5E+XLl89zH7PZbE32li1bhs8//xytW7fGvXv34O/vj3feeQfA88THnpJCQvgk+OQnNjYWLVq0QN26dXH37t03bt+9e3e0bNmyBCKznd27dwMAGjdu/Mptbt68iR07duDMmTPYv38/Zs2ahYoVK+Lrr78uqTAJIaRU4UqwrHVhuLq6YvPmzXj//ffRqFGjXGWR7dGMGTPwxRdf4K233sKaNWvQvn17a+9Hnz594Ovri1u3biEzMxMArI/Zm+3bt+PevXuoVKkSvvzyS0RHR+fZa2M2m62vu/nz52PWrFkQi8Vo1arVSw3ClPgQkn+CT36A519Az549Q6NGjXD8+PF8bW8vfvvtN2sJz4kTJ770uFQqxdixY3Hp0iWkpaVBp9Phxo0bGDhwIMxmM6ZPn44VK1aUcNSEEOL45HJ5iZa1LgyRSIQFCxZg+vTpaNWqFY4cOcJ3SAXGcRwuXbqEuXPnokKFCli7di1atWqVa5sGDRogMjIS9+/fx+LFiwHk7k2xJ+XLl4eLiwvefvttREVFAXg5kXsx8Zk1axa++eYbqFQq68iP1zWWEkLegL/pRvnDMAzn5+fHxcbGcgzDcM7OztzKlStfuX1ISAgnEolsHkdRCh68SlxcHBcQEMAB4EaNGlXg/T/77DMOAOfj48MplcoC708FDwghJG9Go5F7+vSpXU2u37VrF+fh4cFt2LCB71AKZf369dzZs2et/7f87i1FAvbv38+5ublxlStX5m7fvs1LjLZw7do1LiAggGMYhlu/fr31fsvztRQ7MJvN3OTJkzkPDw/Ozc2NGzx4MPfnn3++tD0hpGDsotnE1dUVv/32GwYNGgSTyYSxY8fik08+sasenv+SyWRo3749MjMzERsbiyVLlhT4GLNnz4arqysUCgVOnz5d6FiUSmWBb3q9vtDnI4QQoXNyckJUVJRdDSfq1asXDh06hM8++wxff/213XxHms1mAMCQIUPQvHlzALnnsFh6eCpVqoRq1arh33//xdWrV/kJ1gbq1auHlStXAgBGjhyJrVu3Ang+dM3S46PX6zF+/Hh8//33AIABAwbg888/R506dQA8XyDV8vux9BrZy9+bEL7ZRfIDPF81eePGjZgzZw6A5xVPOnXqBJVKxXNkBadSqdChQwfcvXsXderUwYEDB+Dq6lrg43h7e6Nq1aoAgEePHhU6nsjISPj4+BTo9s033xT6fIQQYg/scVhVixYtcO7cOaxcuRJjxoyxJhZCltd8qrySzrfeegvvvfceAOCrr77CkydPij224tKrVy+sXr0aRqMRP/30E7Kzs8GyLMRiMVQqFT777DOsXLkSzs7O+OCDDzBu3DhUr17dur+TkxOA50lQTk4OgP/9zuzhb04In5z4DqCgpk+fjvLly2PIkCE4duwYGjdujEOHDiEyMpLv0PJFr9eja9euuHr1KqpUqYJjx45BIpEU+njOzs4Ann8AFlZCQgK8vb0LtE9hkjVCCBE6vV4PZ2dnu0x8LGrUqIHLly+jXbt26NOnD7Zu3Wr3n9mWnqBhw4Zh//79uHv3Lv766y+ULVs21/wYe/Lxxx/Dz88PERER8PLygkgkQnZ2NsaPH4/NmzdDIpHggw8+wKhRo1ChQgXrfklJSXjy5AlWrFiB9PR0pKeno3HjxmjatCn69u0LJycnmEwma4JECMnNLt8Zffr0QVRUFLp3747bt2+jfv362Ldvn7Xko1CZTCb06tULp0+fRtmyZXHixAkEBAQU+nhmsxn3798HAERERBT6ON7e3gVOfgghxNGYzWYkJydbJ6Hbs+joaFy4cAEdOnRA586d8csvv8DLy4vvsArN0qvh7e2NmjVr4tq1a1i7di169uxpl4mPRc+ePa1rAKWmpmLixInYtm0b/Pz8MHToUIwYMQJlypSxbn/16lUsW7YM58+fR1JSEhiGAcdxuHfvHtavX49Dhw5h586dcHJystukkJDiZrdNW40aNcKVK1dQqVIlpKamokWLFti1axffYb0Sx3H44IMPcODAAYSFheHkyZMICwsr0jHXr18PuVwOsViM2NhY2wRKCCGlECfwstaFERAQgFOnToFlWbRq1QpZWVl8h1QkHMfB1dUV48ePh1QqxcmTJ63zZeyZSCSCQqFA//79sW3bNoSGhmLEiBEYM2ZMrsTnzJkz+OSTT7B7924kJSWhevXq+P777/Hjjz9iwYIFiIqKwp49e6yLnorFYpoHREge7Db5AYAyZcrg8uXLaNmyJbRaLfr164eMjAze4vnuu+8QExODPn36vPTYp59+im3btiEgIAAnT57M9YH2KkqlEn379n1p7Qaz2Yy1a9fi008/BQAMHToU4eHhtnkShBBSCtlDWevCkEgkOHz4MCIiItCsWTMkJSXxFktR1+VhGAYsy6JcuXLo378/ANj92kYWPj4+qFy5MsRiMT7++GOMGTMm13D+a9euYdasWfjjjz8QGhqKSZMm4dKlSxgzZgyGDRuGCRMm4NKlS6hYsSIOHDiAmTNnAqD1fwjJC8MJvFlAJBIhJCQEycnJr9zGZDJhxIgR+OmnnwD8r2JKUVy6dAldu3a1/l+lUkGv18PDwwPu7u7W+2/cuGH9gJo1axZmz56N5s2b4+zZs9ZtLl++jEaNGgF4XlzgdUMqLl68aP1ZLpfD19cXwPP1fsqUKQMnJyc8fPgQcrkcANC+fXv88ssvcHNzK/BzVCqV8PHxgUKhoGFvhJBSy2AwIDk5GdHR0Q57sWj5njx58iROnDiRaw6JPdq3b5+1+MGZM2esVeLs3ZEjR1CnTh0EBwcD+N96P1988QW+++47eHl5Yfz48Rg3bhycnZ1hNBpz/fv777+jdevWqFOnDvbu3Ws9DiHkfwQ/52fDhg25ko28ODk5Yd26dahYsaLNFngzGo15DhHQaDTQaDTW/+cnyXqxLHRCQgISEhLyFYOnpycWLFiA33//Hf/88w8eP34MrVYLf39/dOzYEYMGDULPnj0d9suaEEJKQnp6OsLCwhz6s9TJyQlr167F5MmT0aRJExw7dgy1atUqkXPv2rULjx8/xv3799GoUSNUq1Yt1yKdL5a1zq9u3bphwIAB2Lp1K+7fv+8wyU+HDh1y/V8sFuPff//FsmXLoNVqMXjwYIwfPx5isRgsy1qLHln+jYqKgr+/P37//XfExcVR8kNIHgTf80OKD/X8EEJI4S6+7dmCBQswb948HDp0CE2aNCm285jNZrz33ns4ePDgS49NmTIFXbt2Rf369QHAOuk/Pyx/r++++w5ZWVn46quvbBq3UFie5+rVqzF69GhUr14dFy9ehJeX1yt/Xw8ePEDz5s2Rnp6OM2fOoFmzZjxEToiwCb7nhxBCCClOpSnxAYBJkyZBKpVah023adPG5ucwmUzo3r07Dh8+jObNm2P06NF48uQJHj58iPXr12P+/Pm4cOEChg8fjkGDBkEkEuU7AbL8vUaPHm3t8XBkqampAICwsDB4eXnlWcXNkig9fvwYCoUCEomEGjUJeQVKfgghhJQ6ZrMZBoPhjcOqHdVHH30EDw8PdO/eHTt27EDnzp1tevzdu3fj8OHDiI2Nxb59+3JdiDdu3Bjff/89fv/9dyQmJiInJwejR49+KQH670X+f5MjR098LEmeZeiaZa2mvAbsMAyD+/fvY+LEidDpdGjevDlq1qxp3f6/CX5BetoIcTSCSn5atmwJ4Pn6BBs2bMh1X0EwDINTp07ZNDZCCCGOgeM4pKSkwM/Pj+9QeDVgwAB4eHigT58++Omnn9C7d2+bHfvGjRsAgM8++wze3t65Fo/94IMPEBERge+//x5Hjx7FV199BVdXVwwbNgwikQgcx4HjOOu8lrNnz6Jly5YF6h1yJDVq1EBgYCBu374NpVIJb29vGAwGa/JnSXxmzZqF+/fvIyYmBh9//DEAWAshAMChQ4eg0WjQq1evUvc7JORFgkp+LBXSKlWq9NJ9BVHahjAQQgjJP7lcDhcXF4cra10Y7733Htzd3dGzZ09oNBp8+OGHRToex3EwmUxITEwEAMhkMgC5ey0YhkHr1q3h4eEBFxcX7Nu3D0uWLEFQUBC6dOkChmGsVVv79u2LCxcuYM6cORg+fHipvGivU6cOGjdujH379mHQoEH45Zdf4OLiYn38999/xzfffIPTp0/D2dkZHTp0sM71eTHxmT17Nv766y+YTCb069ePl+dCiBAIKvmx1KUPCAh46T5CCCGkqAwGAxQKBaKjo/kORTDat2+PQ4cOoUuXLtBoNBg9enShj8UwDJydnVGlShUAwM2bN61VUcViMRiGsSZAjRo1gsFgQHZ2Ns6dO4etW7fi7bfftq6Dd//+feh0OqSlpWHcuHFo0qQJKleuXPQnbGfc3Nzw448/4s6dOzhw4ACaNGmCtm3bwtnZGVlZWVi+fDlMJhO8vb3Ro0cPzJo1K1ev5p49e7B06VL8/fffqFOnDnQ6HY/PhhD+CTL5edN9hBBCSEFxHIfk5GSHL2tdGLGxsfjtt9/Qvn17qNVqTJo0qUjHsyQpu3btwujRo1GhQgXrHJ4XE6DY2FhkZGTg7t272LdvH7p3725NfqpUqYJPP/0USqUSvXr1KpWJj0VAQABOnTqFPn364Nq1a7hy5Uquxxs0aIC2bdvis88+g4+Pj/X+7du3Y9myZfjjjz8APE9As7KycP78eURFRSEmJqbUVTskhEpdl2JU6poQUpooFApwHAepVMp3KIJ148YNtGnTBp9++im+/PLLIh2rdevWOH36NN555x0cPXoUvr6+uYoYvHjRPWXKFCxYsAAVKlTAxYsXERgYaD2OJWElz9ekOnHiBE6ePIm4uDj4+vqiQYMG6NatG2JiYnIVgdi4cSOWLFmCf/75BwBQr149yGQycByHJ0+eoEqVKlixYgViY2NL5VwqUnpR8lOKUfJDCCHkv27fvo1WrVph1KhRmDlzZqF7Bf78808MGDAADx48QN++fbFmzZqXSjVbLrrlcjmaNWuGjIwMXLhwAeXLl6cL8nwwmUxwcnp5EM+PP/6IpUuX4sGDB6hZsyaGDx+Ojz76CGq1Gnq9HgsXLsTChQvh4uKCs2fPokGDBtQDREoN+lQhhBBCiNXbb7+NM2fOYPXq1ZgxY0aepZXzo1atWhgzZgyCgoKwY8cOjBs3DhqNBmKx2DoPyFLdzcnJCW5ubkhLS8O///5rfYy87MW/h+V3ZDKZADxPJpcvX46FCxfiwYMHaNasGebNm4cRI0ZAJBJBIpEgICAA3377LcaPHw+DwYBPPvkEqamplPiQUkNQc34KU9Y6L1TqmhBCiIVCocg1D4K8WdWqVa0lpk0mE+bNm1fgi2OxWIxhw4YhLS0Nq1atwvr166HT6bBu3Tpr9TdLz4WXlxdcXV0REhJiLZZA8vbi38FS/tvJyQlGoxHLli3DihUrkJCQgFatWmHatGmIjY0F8L9hhpaet+HDh2PLli149uwZUlJSEBISwtMzIqRkCSr5KUxZ67xQ6wUhhBDgeVlrg8HAdxh2qXLlyrkSoAULFhT4+9XNzQ1Tp06FSCTC6tWrsW3bNsTFxWHVqlWIiYmBl5cXAGDZsmW4dOkSmjdvbr2P5I9IJIJWq8WyZcuwcuVKpKSkoG3btvjiiy/QqFEjALnnV1l6i9zd3SESiZCeno7ExETUqlWLt+dASEkSVPJDld0IIYTYisFggFwup7LWRVCxYkWcO3cOLVq0gNlsxuLFiwucAHl4eGDKlCkICwvDvHnzcPHiRXTt2hVVqlTBO++8g/v372P79u1wc3PDV199haCgoGJ6No7JbDZjzpw5+OGHH2AwGNCpUyd88cUXqFu3LgC8NJeHYRjo9Xps2bIFqampCAkJQfXq1fkKn5ASR8kPIYQQh0NlrW2nfPnyuRKg7777rsC/U3d3d3z00Udo2rQpRo0ahXv37uHw4cM4fPgwgOdJ1tq1a9GkSZPieAoOTSwWo0aNGlAoFOjatStmz55tTWbyKmJgMplw+vRpHDx4ECKRCN27d0dQUBAVPCClBlV7K8Wo2hshxFGlpaXB1dWVylrb0NOnT9G8eXO8//77heoBslCpVHj27BmuXLkCnU6HChUqoEqVKoiMjLRxxKXLyZMnERISgmrVqr1yG4PBgJMnT2LhwoU4d+4cKlasiA0bNqBBgwYlGCkh/KLkpxSj5IcQ4ojMZjPS09MRGhrKdygO5/Hjx2jevDn69++P+fPnU0+BHdHpdDh+/DgWLFiAy5cvIzw8HFu3bkXz5s35Do2QEiWoYW+EEEJIUYnFYkp8ikm5cuVw+vRpxMbGwsnJCXPnzi1yAkTDrYqfRqPBkSNH8O233+Kvv/5CTEwMtm3bhoYNG/IdGiElzm6Sn9TUVPz000+4ePEiEhMToVarX7n2AMMwePz4cQlHSAghhDi+t956y5oAOTs7Y9asWUU6HiU+xUulUuHgwYP49ttv8ffff+Ott97Cjh07UKtWLUo8SalkF8nPr7/+isGDB78x4bE8Rm9kQggpfZRKJdzd3eHs7Mx3KA6vUqVKOHXqFFq0aAEnJydMnz6d75BIHuRyOfbv34+FCxfi7t27ePvtt7Fz505UrlwZLMvSQrKkVBJ88nP37l3069cPer0eHTt2RMeOHTFq1Cj4+Phg8eLFSE1NxcmTJ3H27FkEBARg1qxZ8PT05DtsQgghJchgMEAmk1FZ6xJUtWrVXAnQlClT+A6J/MetW7cwZswYqNVqvPPOO9i+fTvKli1LiQ8p1QRf8GD48OFYv349BgwYgM2bNwN4vkBXSEgIkpOTrdsdPXoUPXv2RNWqVXHx4kVq+csHKnhACHEEHMchLi4OYWFhcHFx4TucUmfFihWYNGkS5s2bh88++4zvcMh/tG/fHnFxcTh58iTCwsIo8SGlnuBf/WfPngXDMJg6deprt2vfvj0WL16MP/74A999913JBEcIIYR36enpkEqllPjw4MKFC5gyZQqmT5+OmTNnYu3atXyHRP7j6NGjuHLlCiU+hPw/wb8DkpKS4OTkhMqVK1vvs6xO/F8DBw6EWCzGzp07SzJEQgghPFGr1TAajbSeDw9u3LiBzp07Y+nSpZg2bRoOHTqEcePGYfv27XyHRv7D29ubEh9C/p/g5/y4uLi8VMDAy8sLCoUCJpMJTk7/ewoeHh6QSCRU6Y0QQkoJtVpNZa15cP/+fbRt2xbTpk3D8OHDAQBNmzbFzz//jPfeew+enp7o2rUrz1GSF1HiQ8hzgn8nhIWFQalUQqvVWu+LiYkBx3G4detWrm2zs7Mhl8thMBhKOkxCCCE8CAoKglgs5juMUiU+Ph5t2rTB0KFDMWnSpFyPtW3bFtu2bUO/fv3w22+/8RQhIYS8muCTH8twt4cPH1rva9y4MTiOw6JFi3Jtaym1WbFixZILkBBCCCkl0tPT0aZNG3Ts2BHz5s3Lc5tu3bph7dq16NGjBy5cuFDCERJCyOsJPvnp2LEjOI7Dzz//bL1vxIgREIlE2L17N6pVq4b+/fujevXq+OGHH8AwDIYMGcJjxIQQQoqTwWCAXC7nO4xSR6FQoF27dqhduzZWrFjx2jX1+vXrhyVLlqBTp074448/SjBKQgh5PcHP+encuTMGDx6ca25P9erV8d1332HcuHG4e/cu7t69a32sb9++GDt2LB+hEkIIKWYcxyE5ORlhYWF8h1KqaDQadOrUCaGhodi8eXO+hhoOHz4cKpUK7du3x4ULF3IVLiKEEL4Ifp2f1/n333+xd+9eJCQkwMfHB+3atUPLli35Dstu0Do/hBB7k5aWBldXV6ruVoIMBgO6desGlUqFY8eOwcPDo0D7f/nll9i4cSMuXbqEqKioYoqSEELyx66TH1I0lPwQQuyJRqOBTCZDREQE36GUGmazGQMGDMD9+/dx5swZ+Pj4FPgYHMdh1KhROHPmDC5cuIDAwMBiiJQQQvJH8HN+CCGEELPZjLS0NCprXcKePn2KuLg4HDt2rFCJD/B8bb4VK1agRo0aaN++PXJycmwcJSGE5B/1/JRi1PNDCLEXarUaDMMUeMgVKTqO415b3CC/DAYDOnfuDKPRiCNHjsDNzc0G0RFCSMHYTfLz6NEj7N69G3///Teys7NhNBpfuS3DMDh16lQJRmefKPkhhBBSklQqFdq0aYOQkBDs2bMnVzEjQggpCXaR/EybNg0LFy4Ey7LIT7gMw8BsNpdAZPaNkh9CCCElTSaToVmzZqhfvz7WrVtnk14lQgjJL8E3uaxatQrz588HAMTExKB169YIDg6m1iJCCHFwHMchLS0NwcHBdIHsQPz8/HD8+HE0atQIX375JebOnct3SISQUkTwGcTq1avBMAw++OADrF27FiIR1WgghJDSID09Ha6urpT4OKDw8HAcO3YMTZo0QXh4OEaOHMl3SISQUkLww97c3d1hMBggk8kKXWmG5I2GvRFChMpS1jo8PJySHwf2+++/491338WWLVvQvXt3vsMhhJQCgu9G8fX1hY+PDyU+hBBSSrxY1poSH8fWqFEjbN26FQMHDsTFixf5DocQUgoIPvl55513oFQqkZmZyXcohBBCSkBKSgqCgoIgFov5DoWUgG7dumHRokXo0qUL7t69y3c4hBAHJ/jkZ+LEiWAYBl9//TXfoRBCCClmLMvCy8sLnp6efIdCStCIESMwevRotGvXDklJSXyHQwhxYIJPfho3bozVq1dj1apVGDFiBJ49e8Z3SIQQQoqJSCSCVCrlOwzCgzlz5qBNmzZo3749FAoF3+EQQhyU4AseWHz77beYOnUqGIaBn58fJBLJK7dlGAaPHz8uwejsExU8IIQQIiQmkwldunSB0WjEkSNH4OzszHdIhBAHI/jkx2w2Y9CgQdi5c2e+FjgFaJHT/KLkhxAiFBkZGfD29oarqyvfoRCe5eTkoFmzZqhduzYtgkoIsTnBr/Pz3XffYceOHQCApk2bom3btrTIKSGEOBCNRgO9Xg8XFxe+QyECIJFIcOjQIdSvXx/z5s3DF198wXdIhBAHIvgMYv369WAYBlOnTqVVoAkhxMFYylpHRUVRCz+xCg8Px+HDh9GsWTOUKVMG/fr14zskQoiDEPywNw8PDxgMBigUCqr+Y2M07I0QwrfExET4+vrS5zvJ07Fjx9CjRw8cO3YMTZs25TscQogDEHy1N19fX3h7e9MXIyGEOBi5XA5nZ2f6fCev1K5dOyxduhTdunXD/fv3+Q6HEOIABJ/8NGvWDAqFgur+E0KIgxGLxQgKCuI7DCJwH330EYYNG4YOHTogIyOD73AIIXZO8MnP1KlT4erqikmTJvEdCiGEEBuSSCQ0z4fkyzfffIM6deqge/fu0Ov1fIdDCLFjgk9+qlevjl9++QVHjx5F+/btcebMGajVar7DIoQQUkgCn2pKBEgkEmHjxo3Q6/X46KOP6DVECCk0wRc8EIvFBd6HYRiYTKZiiMaxUMEDQkhJ02g0UKlUNNyNFEpycjLeeecdjB07FpMnT+Y7HEKIHRJ8qWuB52aEEELy6cWy1oQURlhYGA4cOIDmzZujYsWK6NatG98hEULsjOCTnzNnzvAdAiGEEBtISUlBUFBQoXr0CbGoXbs2Nm3ahIEDB+L8+fOoVasW3yERQuyI4JOf5s2b8x0CIYSQIqKy1sSW3nvvPdy/fx9dunTBtWvXEBoayndIhBA7IfiCB2XKlEG5cuXw6NEjvkMhhBBSCAaDAXK5nOb5EJuaMmUKWrRogW7dukGr1fIdDiHETgi+4IGbmxtcXFygVCr5DsXhUMEDQkhJMBqN4DgOLi4ufIdCHIxer0fLli0RHR2Nbdu2Uel0QsgbCb7nJywsjIoeEEKIHXN2dqbEhxQLV1dX/PLLL7hw4QIWLVrEdziEEDsg+OSndevW0Gg0uHHjBt+hEEIIKQBquCIlITg4GL/++itmz56NY8eO8R2OTahUKsTFxeHevXtITU3lOxxCHIrgk58pU6bA09MTY8aMgUaj4TscQggh+WA2mxEfH08JECkRdevWxQ8//IC+ffviwYMHfIdTJAcPHkTbtm0RGxuLqlWron79+li7di0N/yfERgQ/5yc+Ph6XLl3Cxx9/jICAAIwdOxaNGjV6Y7lUWkfizWjODyGkuCQmJsLX15equ5ESNXHiRBw6dAhXr161u+81juMwZswYrF69GgBQrVo16PV6PHz4EJ6enli8eDGGDBkCJyfBF+olRNAEn/wUZj0IhmFgMpmKIRrHQskPIaQ4yOVy6PV6BAcH8x0KKWXMZjM6dOgAFxcX7N+/HyKR4Ae4AABkMhk+//xzbN68GW+//Tbmzp2Lzp07IycnB9OnT8fy5ctRo0YN/P7773B3d+c7XELsmuA/FTiOK/CNZVm+wyaEkFKJyloTPonFYuzcuRP//vsvZsyYwXc4+Xb37l0cPnwYVatWxf79+9G5c2dwHAeJRIJ58+ahRo0auHXrFm7dusV3qITYPcH3nT59+pTvEAghhOQDx3FITk5GWFgYlRwmvPH19cX+/fvRsGFD1KxZE++//z7fIb3R6tWrkZWVhZEjRyImJgZmsxkikQhmsxmenp4oW7Ys0tPTrYu5Wgbt0PuMkIITfPITHR3NdwiEEELyKTQ0lMpaE95VqVIFmzZtwqBBg1C1alVUrlyZ75DyxHEcGIaBj4+P9V/geQ+WyWSCk5MTMjIykJSUhPbt2yMlJQUuLi7WJOjFYxBC8kfww94IIYTYB4Zh4OrqyncYhAAAunXrhjFjxqB79+6CrZRmSVr8/f3BcRx++eUXxMXFAQCcnJyg1+sxbdo0XLt2DRs2bECHDh0QERGBTp06Yffu3bmOQQjJH8EXPMhLXFwc0tPTwTAMAgMDqXeokKjgASHEFliWBcMwdBFGBMdsNqN9+/aQSCTYu3ev4F6jLMtCJBJBo9GgVq1aePjwIZo2bYq3334b0dHRWL9+PR48eICAgAD06NEDSqUSx48fh0wmQ/ny5TF37lz06tWL76dBiF2xm+QnJSUF33zzDXbu3ImsrKxcj/n7+6Nfv36YPHlyrq5g8nqU/BBCbCExMRH+/v5UhYoIUmZmJurUqYNRo0Zh8uTJfIfzEsvwtmvXruGrr77C4cOHERERAYVCgZycHLz33ntYuHAhypQpAwC4dOkS5syZgxMnTqBZs2bYuHEjYmJi+H0ShNgRu0h+Ll26hG7dukEmk71ywTyGYeDv7499+/ahUaNGJRyhfaLkhxBSVFTWmtiDv/76C82bN8f+/fvRqlUrvsN5JY1Gg4SEBKSmpuLzzz9HcHAwjhw5AuB/SRIAbN++HWPHjoWLiwt27dqFZs2a8Rk2IXZF8HN+0tPT0aVLF2RlZUEikWDSpEk4ceIE7t27h3v37uHEiROYPHkyfHx8kJmZiS5duiA9PZ3vsAkhxOFRWWtiL+rUqYPly5ejT58+iI+PL7HzFrR92cPDAxUrVoSrqyseP36MihUrAng+fM/Jycl6vD59+iA4OBhpaWlUFZeQAhJ8tbfFixcjOzsblSpVwokTJxAeHp7r8YoVK6JVq1YYO3YsWrdujfv372PJkiWYP38+TxETQojjs5S1Dg0NFdw8CkLy8uGHH+Lq1avo0aMHLly4ADc3t2I5D8dxuH79Ojw8PODs7Izy5csXaF+GYXDjxg0olUrrUH6WZSEWi61rGapUKuv7TiKRFMvzIMRRCb7n5/Dhw2AYBmvXrn0p8XlRWFgY1q5dC47jcOjQoRKMkBBCSp+MjAz4+PhQdTdiV77//nuIRCKMGzeuWI7/559/IjY2Fm3btkWdOnXQpEkTDB48GJcuXcrX/paExjIUfenSpcjKyoKzs7N17R+xWIwTJ07g8ePHaNiwIWJjY4vluRDiqASf/Dx79gyenp5o3LjxG7dt3LgxPD09rWUiCSGEFA9fX19IpVK+wyCkQFxdXbF7927s2rUL27dvt+mxN27ciIYNG+LChQsoV64c6tWrB5PJhC1btqBDhw7YuHEjZDIZgOc9Oa8TGxuLBg0aIC0tDYMHD0ZaWhpYlgXLsli0aBEGDBgAg8GAvn37wtfX16bPgxBHJ/jkh2GYAo+ZtYMaDoQQYtecnZ1puBuxS9HR0diyZQs+/vhj3Lt3zybHfPz4Mb755huIRCKsXbsWV69exenTp3H27Fl07doVOTk5+PLLL7Fq1SqYTCaIRKLXJkD+/v4YOnQofHx8cOTIETRv3hwtW7ZEpUqVMGnSJJjNZqxfvx5jxoyh9yEhBST45Cc6OhoajQZXrlx547aXL1+GWq2mko+EEFJMTCYT3yEQUmQdO3bEmDFj8P7770OtVhf5eOfPn8fDhw8xZswYDB06FAAgFotRrVo1bNu2DQMGDEBmZiZWrlyJNWvWAABEoldfgrm5uaFPnz5YtmwZvL298eDBA1y6dAkZGRno2LEj/vnnH3z44YdFjpuQ0kjwyU/79u3BcRw++ugjZGRkvHK79PR0fPTRR2AYBh06dCjBCAkhpHSQy+UvrbNGiL366quvEBgYiJEjRxZ5xMjt27cBAAEBAQCeV2ez/Ovh4YHp06eje/fuyMjIwNKlS3H27FkAeQ9/s8Ti6emJgQMH4ubNmzh8+DDOnDmDffv24eDBg9YqcISQghN88jNhwgRIpVLcuXMHlStXxpdffomzZ8/i4cOHePToEc6cOYPp06ejatWquHPnDnx8fDBhwoRijSkmJsa6mrnl5ubmhjJlymDAgAH4448/8tzvgw8+eGm/vG4ffPBBgffr1q1bsT5nQkjpRmWtiaNxcnLCjh078Ntvv2HdunWFOoYlUbGscyWXy8GyrHUomlgsBgC89dZbGDFiBJo1a4YnT55g2bJlkMlkEIlE4DguV/Jl6V01Go0Anl9ztG/fHs2bN0fz5s0L92QJIVaCL3UdHByMX3/9Fd27d4dMJsO8efMwb968l7bjOA5SqRT79u0rsS/nChUqWM+lUCjw6NEjbNu2DTt37sSGDRswcODAPPcLCgpChQoVXnnct956q8D7ValSpYDRE0JI/lBZa+KoQkNDsWPHDnTq1Al169ZFrVq1CrS/5f1gKZt98eJF63A2S9lqy7/NmjVDv3798ODBA5w7dw579+61jlix2Lp1K65evYrFixfDxcUFLMu+dngcIaQQODuRkJDAjRgxgvP39+cYhsl18/f350aNGsUlJiaWSCzR0dEcAG7Dhg257pfJZNz777/PAeAkEgknk8lyPT548GAOADd48OACna+w+72JQqHgAHAKhcKmxyWEOJa0tLSXPs8IcSRz587lypUrV+jvw4yMDC4gIIBjGIZbs2YNx3Ecx7Ks9XHLzxkZGdzAgQM5hmG4fv36cRkZGdZtTp06xYWHh3Ourq7c7Nmzi/BsCCGvYzfNCREREVi9ejUyMzPx+PFjXL58GZcvX8bjx4+tkwhftw5QSfD19cX69evh6emJnJwc/Pbbb7zGQwghRaXT6aDX66msNXFoU6dORdmyZTFixIhCzf8JCAjA6NGjAQCLFi3Co0ePwDCMde6PpQcoICAAffv2BQAcPHgQcrnceoy33noLnTp1gsFgwNWrV6HRaIr+xAghL7Gb5OdFZcqUQf369VG/fn2UKVOG73By8fb2tg5be/bsGb/BEEJIEbm6uiI8PJyGuxGHJhKJsGXLFpw+fRobNmwo1DHee+891KtXD48ePcLXX38N4PmcH0tRA8t7qH379mjfvj1UKhV+/fVX6/4RERHo168fVq9ejcOHD8PDw6OIz4oQkhe7TH6EztJaQx9chBB7xzAMzTkgpUJwcDC2bNmCTz75BHfv3i3w/m+//TYGDhwIX19f7Ny5E0uXLgWQu6S1JRGqXr06AMDFxQXA/6rDNWvWDB9//HGRngch5PXoG83GHj58iMePHwMAatasyW8whBBSSHq9nhaMJqVOmzZt8Mknn6B3797QarUF2tdSrbVXr17Q6/WYNWsWjh07BuB58QOWZa3vKUsjqUqlAvC/qnCEkOInuGpvZcuWLfIxGIaxJiAlRalU4tq1a/j0009hMpnQuHFjNG3aNM9tN23ahE2bNr3yWL/++muepatftx9dpBBCbMVgMCAlJQXR0dF8h0JIiZs9ezbOnj2LcePG4YcffijQvl5eXpg0aRKysrKwd+9e9OnTB3v37kXDhg3h6ekJALh37x4OHTqEsLAw9OjRozieAiHkNQSX/NhinkxJjU3/8MMPX1phWSQSoXfv3li9evUr93tTqWt/f/9C7UcIIUXFcRxSUlKorDUptZydnbFjxw7UqlULrVq1Qs+ePQu0f5kyZTBv3jwolUr89ttvGDJkCBo2bIj3338fSUlJWL16NZ4+fYrRo0cjMjLSWgqbEFIyBJf8zJw5s1D7/fXXXzh06JCNo3k9yzo/HMchNTUVT548gbOzM+rVqwdfX99X7te+fXts3LixwOcr7H5volQqrT8fPXoUq1evhrOzM8RiMZycnODs7AwnJyc4OTnB09MTXl5ekEql8PX1hUQiQe/eva0tWoQQ+5aRkQFvb2+4urryHYqgcBwHs9lsHbr0338tve+Wn/97szwGINcC1f/9/4v3i0QiiEQi67yrF3+mi+XiFR0djfXr1+PDDz9EnTp1CjwqpXz58ti5cydGjx6NkydPYs+ePdizZ4/18SlTpuS5ZiEhpPjZffLz5MkTTJs2DUeOHLHe16VLF1uHladp06bhgw8+sP7/0qVL6NatGyZMmIDg4GAMGDCgROIoqsjIyALv4+HhAY7joNVq0aVLlzyTH47jEB0dDYlEgsDAQAQFBSEoKMj684v/hoeHw9vb2xZPhxBSSBqNBnq9HoGBgXyHUmwsCYvZbM51M5lMuX62TEx/kVgszjMZye/txRjySpZenBPy4n2W24v/fxHDMBCLxdYGq//+7OTkRAlTIXTv3h2nTp3CgAEDcP78eTg5FeySSSqVYu3atXjy5AkOHjyInJwceHl5oWXLlmjQoEExRU0IeRPBJT/5lZ6ejjlz5mDt2rUwmUzgOA5NmjTBt99+i4YNG/ISU+PGjbF27Vp0794dn376Kbp06WIXF/QJCQkFjtPV1RWurq4wmUyvnKjJsixGjBiB9PR0pKenIyMjA/fv30dGRgYyMjJgMplybS+VSvHVV19hzJgxhX4uhJDC4TgOGRkZiIiIsOuLZLPZDIPBAKPRCKPRaP35xXmRIpHImiBYkgMXF5dc/7enZOHFZM6SxJlMJuh0ulwJ3otEIhFcXFysN2dnZzg7O9vNcy4pCxcuRN26dTF37lzMmjWrwPu7u7ujWrVqqFatmu2DI4QUit0lPyqVCgsXLsTSpUuhVqvBcRyqVauGefPmoVOnTnyHh27duqFBgwa4cuUKlixZUqgPy5Lm7e1d6CTtdS1hYrEY06ZNy/MxjuMgl8uRnp6OtLQ0JCUlIT4+HrVq1Xrl8UaMGIHjx4+jXLlyqFixYq5bVFQUleMlpAgYhkFUVJSgL34tQ89eTGos/1pYLuqdnZ3h4uICLy8vODs7O/Tng6UXytnZOd/7WJJEg8EArVYLhUKR6/doSQhfTI7EYrGgXx/Fwd3dHTt27EDDhg3Rpk0bNG7cuED7W35fNK+HEOGwm+THaDRi1apV+Prrr5GVlQWO4xAVFYU5c+Zg4MCBgvpQmTJlCrp164Zly5ZhwoQJ8PLy4jskwWEYBr6+vvD19UXFihXztU/Hjh3h4+ODR48e4dy5c1i3bh0MBgMAwM3NDRUqVMiVEFWvXh01atQozqdBiEMRyucox3EwGo3Q6XTQ6/XQ6/UwmUzW4V2Wi3E3Nzd4e3tTj0UhiMViuLu7w93d/aXHOI6DyWSyJkc5OTkwGAzW3iOGYazJpaurK9zc3Bw6MapevTq+/vprDBgwADdv3oSPj0+Bj+GovxtC7JFdJD9bt27FjBkzEBcXB47j4O/vj2nTpmH06NHWBcKEpEuXLqhcuTLu3buH1atXY+LEiXyH5BA6d+6Mzp07W/9vNpsRFxeH+/fv57pt2LABycnJaN26NU6cOMFjxIQIn8FgsF7MljTLRbZOp7PeLPNZLMmNh4cHfH19CzzfghSe5fXg7Oyc53xOlmWtvW46nQ5yudyanLq4uMDNzQ3u7u5wdXV1iIt+S6+Nk5MTxowZgy1btvAdEiGkCAT9bXLkyBFMnToV//zzDziOg4eHB8aNG4dJkyZBIpHwHd4rMQyDCRMmYOjQoViyZAnGjh0LNzc36+NHjx5FkyZNXrl/hQoVsGHDhpII1a6JxWKULVsWZcuWRfv27XM9lpOTA4VC8cp9d+zYgQ0bNqBGjRqoWbMmatasiYoVK9IFFilVOI5DcnIyQkNDS+Rcer0eGo0GOp3OOsTKycmJkhw7IxKJrPM+X/wu5jguV0JkWSjXksi6u7vDzc3NroYgajQafPzxxzh16hRWr16NYcOGYfv27ejXrx/foRFCCkmQ3zJXrlzBlClTcOHCBXAcBycnJwwbNgwzZ85EcHAw3+Hly4ABA/Dll18iOTkZP/30E0aNGmV9zFIA4FUsKz6TwpNIJK9NkH18fODp6Ym9e/di0aJFAABPT0/Uq1cPDRs2RMOGDdGgQQOHrnpFSEZGBnx8fIqlrLXRaIRWq7VWkAOeF0rx8PBAQEAADVVzQAzDWJMiy9AwS++eVquFSqVCZmYmWJaFWCzOlRAJMel98uQJ3nvvPUgkEvz111/Wta8GDhyIRo0aISYmhu8QCSGFwHAvlsARgPfeew/79++3/r9nz574+uuvUa5cOR6jckxKpRI+Pj5QKBR2UZWuuMjlcty6dQvXrl3D5cuXcfnyZaSmpgJ4vlZDgwYN0KJFCwwZMoTnSAmxHY1Gg6ysLJtUd2NZFjqdDhqNBlqtFmazGU5OTvDw8LBe3FKiQ15kNpuh1Wqh0+lees14eHjwPmTu6NGj6N+/PwYOHIhFixblGhY6cuRI3L59G+fOnXtltVNCiHAJLvmxdIczDIOOHTuibt26hTrOjBkzbBmWQ6LkJ28cxyEuLs6aCF25cgXe3t44efIk36ERYhNmsxnx8fGIiooq1MWbwWCARqOBRqOBwWCASCSyDl1zd3enC0JSKEaj0fq60uv11teVp6cn3N3dS2S4HMuymDdvHubPn48ffvghz/X6NBoNatWqhSFDhmDy5MnFHhMhxLYEmfzYorXnv2sakJdR8pN/LMu+8ov33LlzuHTpElq2bIm6desKcvgGIS/KyMiAh4dHnpPZ82IymaBWq6FSqWA0Gq0T4d3d3eHi4kK9OqRYsCwLrVYLtVoNrVYLANbXrbu7u81fdwqFAoMGDcLt27fx66+/vrZa6LVr1xAbG4vLly9TVVFC7Izgkp+YmBibfKA9ffrUBtE4Nkp+bGPFihWYNm0acnJyIJFI0LRpU7Rs2RItW7ZEjRo17GpyLykd3rTmCMuy0Gg0UKlU0Ol0EIvF8PT0hJeXlyArbJLSwZIMWV6XDMNYk6GiDq28c+cOunfvjnLlymHbtm3w8/N74z4zZszAvn378McffxTLvDlCSPEQXPJDSg4lP7ZjMpnw119/4fTp0zh9+jQuXrwInU4HPz8/tGnTBh07dkT79u0REBDAd6iEvITjOOtFpaWF3dPT0yYXlYQUl/8m6SKRCF5eXpBIJAUq3b57924MHToU48aNw8yZM/M9bNNoNKJBgwZo3bo1vv3228I+DUJICaPkpxSj5Kf46PV6XLlyBadOncKRI0fw119/gWEYNGjQAMOGDaPiCaTEcRwHlUplrYJoWbxSrVaDZVm4u7vDy8urxOZWEGJrZrMZKpUKOTk5MJlMcHNzg0QigYeHxysT+O+++w6zZs3Cli1bcq0jl193795FvXr1cPz48dcuYUEIEQ5KfkoxSn5KTkpKCo4ePYrDhw+jVq1amD59Ot8hkVImLS3N+rNWq4WzszMkEgk8PT2pQAFxOBzHQafTQalUQqvVQiwWQyKRwMvLK9e8zAcPHoBhGFSoUKHQ5/ruu++wbNky3Lp1S9BrEBJCnqPkpxSj5Ed4rl+/jqioKBoeR2yCZVmo1WrIZDJotVpIpVJ4e3sXy2RxQoTMaDRCpVJBpVLBbDbD09MTEokk1wLkhcWyLFq1aoUKFSrgxx9/tEG0hJDiJKixDXv37rX5MZOSknD58mWbH5eQ4vDhhx8iJCQErVu3xpo1a167GC4heTGbzVAoFEhISEB8fDy0Wi1MJhMqVKiAkJCQ1w4BIsRROTs7w9fXF5GRkYiKioK7uztkMhmePn2KtLQ0aLVaFLYtWCQSYePGjdi1axeOHDli48gJIbYmqOSnV69eqFmzJn799ddCfwhZJCQkYMyYMShfvjxOnDhhowgJKV4nT57EqlWrwDAMRo8ejdDQULRs2RKrVq2yLrxKyH+ZTCZkZ2cjPj4eiYmJMJvNCAkJQUxMDIxGI0JCQmhoGyH/z1IYISwsDDExMZBIJJDL5Xj27BlSU1Oh0WgKfA0SHR2NJUuWYPjw4ZDL5cUTOCHEJgQ17G3AgAHYsWMHACA4OBj9+vVD3759Ubt27Xy1VGZkZODAgQPYtm0bzp8/D5ZlERUVhc2bN6NZs2bFHb7doWFvwpaZmYl9+/Zh7969OHXqFMxmM5o2bYqePXuiR48eCA0N5TtEwiOWZaFUKqFUKgEA3t7ekEgkuZIcvV4PhUKBoKAgvsIkxG68OE9Io9HA3d0dUqk030PjOI5Dhw4dEBISgg0bNhRztISQwhJU8gMAf/75J8aPH48LFy5YEx5PT0/Url0bNWrUQGBgIPz8/ODq6ors7GzIZDI8efIE165dQ1xcHIDnH0De3t6YMmUKxo0bR/X3X4GSH/uRlZWF/fv3Y+/evThx4gRYlkWbNm2watUqlC1blu/wSAnhOA5qtRpyuRwmkwne3t7w8fGhXh1CbMxS/l0ul8NgMMDLyws+Pj5vLKGdkJCAatWqYceOHejQoUMJRUsIKQjBJT8WV69exerVq7Fnzx7ruhOv6v158SnUqFEDH3/8MQYMGAAvL68SidVeUfJjn7Kzs7F3717s3r0bv/zyC1UXKgV0Oh3kcjm0Wi08PT0hlUppsVFCSgjHccjJyYFCoQDLsvDx8YG3t/crS8KvX78eM2bMwJ07dyCVSks2WELIGwk2+bHIycnBuXPncP78eVy9ehXJycnIyMiATqeDv78/AgMDUaVKFTRr1gyxsbGoVKkS3yHbDUp+HBfHcTSp3c4ZjUYoFArk5OTA1dUVUqk031XaFAoFJBIJrddDiI2ZzWbrcFOxWAwfHx94eXnlel/S8DdChE3wyQ8pPpT8OK7du3djyZIlGDRoEPr160etj3bixQsrkUgEqVT60oXVm2g0GmRlZSEiIoISYEKKkcFggEKhgEqlgpubm3V+EMMwNPyNEAGjZkFCHFBoaCgCAwPxySefICwsDEOGDMG1a9eKXEWRFA+dTofk5GQkJiYCACIiIhAZGQmJRFKgBMZsNiMtLQ1hYWGU+BBSzFxcXBAYGIiYmBhIpVJrxbisrCyEhYVR9TdCBIp6fkox6vlxfKmpqfjpp5/w448/Ii4uDrVq1cKIESPQt29fmivEM5ZloVAooFAo4OLiAj8/vyIvuJiUlGQdhkMIKXksyyInJwdyuRwikQhDhw5FREQEfvrpJ75DI4T8P0p+SjFKfkoPs9mM48ePY82aNTh06BA8PDwwYMAAjBgxAjVq1OA7vFJFr9cjOzsbOp0O3t7ekEqlNpmbo1AooNVqERISYoMoCSFFZTAY8PfffyM2Nhb79+9Hq1at+A6JEAJKfko1Sn5Kp4SEBKxbtw5r165FSkoKGjRogOXLl6Nu3bp8h+awLNWisrOzIRaL4efnl+/iBfk9flpaGoKCgqjIASECs3z5cnz33Xe4ffs2PDw8+A6HkFKPkp9SjJKf0s1oNOLQoUNYs2YNVq5ciXLlyvEdksMxGo3Izs6GWq2GRCKBVCqFk5MT32ERQkqQZYHqRo0aYdGiRXyHQ0ipR8lPKUbJDyHFw1JxDQB8fX3h6elJBQgIKcXu3r2LunXr4ty5c6hXrx7f4RBSqtH4CELIKz148ABHjhwBy7J8hyJ4HMdBqVTi2bNnUCqVCAkJQWRkZIFLVReERqOBWq0ulmMTQmynSpUqmDJlCoYNGwaj0ch3OISUapT8EEJeadeuXejYsSOqVq2KNWvWQKPR8B2S4LAsC5lMhmfPnsFgMCAyMhIhISFwdnYu1vNayloXtUIcIaRkTJkyBSzLYsGCBXyHQkipRsPeSjEa9kbehOM4XL58GYsXL8avv/4KPz8/jBw5Ep988gkCAwP5Do9XJpMJMpkMarUaUqkUPj4+JVpsICkpCVKpFJ6eniV2TkJI0Vy9ehUtWrTA9evXUalSJb7DIaRUouSnFKPkhxTE48ePsWzZMqxfvx4cx2HEiBGYMGECQkND+Q6tRBkMBmRlZcFgMMDPz69Yh7W9CpW1JsR+jRs3DtevX8fZs2dpLiAhPKDkpxSj5IcURmZmJr7//nssW7YMer0ew4YNw6RJkxAVFcV3aMVKp9MhMzMTHMchICAA7u7uvMRhMBiQnJyMqKgoKmtNiB1SqVSoXLky5syZgw8//JDvcAgpdewm+Xn8+DF2796Nv//+GzKZ7LUTBhmGwalTp0owOvtEyQ8pCrlcjhUrVmDp0qXIycnB4MGDsWTJEkgkEr5DsymtVouMjAyIxWIEBATA1dWV13gUCgXc3Nx4j4MQUnj79u3D0KFD8e+//5b6IcSElDS7SH5mz56NuXPngmVZ5CdchmFgNptLIDL7RskPsQWVSoUffvgBx44dw2+//eYwvRE6nQ7p6elwcnJCYGBgsRcwIISULt26dYNUKsXGjRv5DoWQUkXwyc+2bdswcOBAAEBYWBjatm2LsLCwNy4UOHPmzJIIz65R8kPIy3Q6HTIyMiASiRAYGAgXFxe+QyKEOKCEhARUqVIFBw8eRGxsLN/hEFJqCH6p8ZUrVwIAunTpgt27d9OFCCF2yGAwCP69q9frkZGRAQAICgoS1LAys9kMmUxGw2MIcSCRkZGYPXs2Pv74Y/z999+C+swhxJEJfnzKP//8A4ZhsGrVKsFfPBFCXqbT6VC1alWMHTsWqampfIfzEoPBgKSkJKSnpyMwMBARERGCuwhJTU3lrcACIaT4fPLJJ/Dw8MC3337LdyiElBqCT34YhoG3tzfCwsL4DoUQUkhDhgzB1q1bUa5cOXzxxReQy+V8h2StmpaWlgZ/f39ERkYKLukBnhc4EIvF8PLy4jsUQoiNOTk5Yc2aNZg/fz4ePHjAdziElAqCn/NTv3593Lx5E0qlUpAXJvaM5vyQkpSdnY0FCxbg+++/h5ubGyZPnoyxY8fCw8OjROMwmUzIyMiA0WhEYGCgoHtUqKw1IaXDmDFjcP/+ffz222+09g8hxUzw36bDhg2D0WjEnj17+A6FEFIEvr6++Oabb/D48WP07dsX06dPR7ly5bBq1arXlq63FZZlkZ6ejsTERPj4+CAqKkrQiQ/HcUhJSUFoaCglPoQ4uLlz5+LWrVv4+eef+Q6FEIcn+J4f4Hk5yPPnz2Pfvn1o1qwZ3+E4DOr5IXx68uQJZs2aha1bt6JixYpYsmQJ2rdvb/PzcBwHhUKB7Oxs+Pv7QyKR2EXLqtFohEajgY+PD9+hEEJKwKZNmzB9+nTcu3ePhrkSUowEn/zMmTMHZrMZK1asgFwuR+PGjVG/fv03LqQ4Y8aMEorQflHyQ4Tg5s2bGDduHM6ePYu2bdti9erVKFOmjE2OrVarkZGRAS8vL/j5+VEPCiFEsFiWRbNmzdCkSRPMnz+f73AIcViCT35EIpG1ldYSan5abWmR0zej5IcIBcdx2L9/P2bNmoUjR44UucCJwWBAWlqadYHSN60LRgghQnDr1i00aNAA169fR+XKlfkOhxCHJPjkJzY2tlBDVM6cOVMM0TgWSn6I0HAcV6QhaWazGRkZGTAYDAgODrbLIimpqakIDAyEWCzmOxRCCA8+/fRT3LlzBydOnLCLIbqE2BvBJz+k+FDyQxwFx3HIzs6GQqFAYGCg3Y6XVygU0Gq1CAkJ4TsUQghP5HI5KlWqhOXLl6Nnz558h0OIw6EB8IQQuzB//nzcv3//pftVKhWePXsGAIiJibHbxMdgMEAmkyEoKIjvUAghPJJKpVi4cCHGjRsHlUrFdziEOBxKfgghgqdUKrFu3TpUr14dX375JbRaLUwmExITE5GTk4OoqCj4+fnZ7RARS1nrsLAwKspACMGAAQNQtmxZzJ07l+9QCHE4djXszWAw4MSJE/jzzz+Rnp4OhmEQGBiIevXqoXXr1nBxceE7RLtCw96IPdFqtfjmm2+wYMECDB06FB988AGqVasm6LV68isjIwNisRh+fn58h0IIEYibN2+iYcOGuH37NsqXL893OIQ4DLtJfn788Ud8+eWXyMzMzPPxgIAAzJ07F8OHDy/hyOwXJT/E3mi1Wjx58gS7d+/G3Llz0b17d3z33XeIiIjgO7QisbwH7bXnihBSPD7++GOkpqZi//79fIdCiMOwi+Rn8uTJWLRokbXUdXh4uPViJzExEUlJSQCel8CeOHEi1cfPJ0p+iL0wm81IT0+H2WxGcHAwnJycsHPnTnz++edQqVSYPXs2PvnkEyppTQhxKBkZGahQoQJ2796Nd999l+9wCHEIgh9cfu7cOSxcuBAcx6FHjx64e/cuEhIScPnyZVy+fBkJCQm4d+8e3n//fXAch4ULF+LChQt8h00IsQGO46BQKBAfHw+JRIKIiAg4OzuDYRj07dsX//77Lz744ANMmDABderUweXLl/kOmRBCbCYwMBCzZs3CZ599BqPRyHc4hDgEwSc/K1euBAAMHToUe/bsQaVKlV7apmLFiti9ezeGDh0KjuOwYsWKkg6TEGJjBoMBCQkJ0Ov1iI6OzrOKm4+PD5YvX45r167B2dkZjRo1wogRI6DX63mIuGAUCgXkcjnfYRBCBG706NEAgNWrV/McCSGOQfDD3iIiIpCamork5OQ3loBNS0tDWFgYQkNDkZiYWEIR2i8a9kaEiOM4ZGVlQa1WIyQkJN8LlZrNZqxevRrnzp3D7t27BT1/xmAwICkpCdHR0VTdjRDyRsePH0efPn3w8OFDBAQE8B0OIXZN8MmPm5sbPD09kZWVla/t/f39oVarodPpijky+0fJDxEavV6PlJQU+Pj4QCqVCjqBKSyO4xAfH1+gxI4QQrp06YLw8HDqASKkiATf5CiRSJCTk5OvZEar1SInJ8duFzkkpLTiOA6ZmZlIS0tDeHg4fH19HTLxAYDMzExIJBJKfAghBbJkyRJs2rQJf//9N9+hEGLXBJ/8VK9eHWazGT/99NMbt/3pp59gMplQo0aNEoiMEGILer0ecXFxEIlEiIyMhLOzc7GcR6lUQiaTFcux80ur1UKn08HX15fXOAgh9qd8+fIYNWoUxo8fD4EP2iFE0ASf/PTv3x8cx2H8+PFYv379K7dbt24dxo8fD4ZhMHDgwBKMkBBSGJbentTUVISFhcHPz69Ye3u+/PJLVK1aFfv27Su2c+RHaGiow/ZqEUKK1/Tp03Hjxg0cPXqU71AIsVuCn/PDsixatWqFc+fOgWEYREREoEWLFggPDwfDMEhISMCZM2eQlJQEjuMQGxuLU6dO0cVFPtCcH8IXy9web2/vEhvilpycjBEjRuDgwYPo3bs3Vq5cCX9//2I/LyGE2NLy5cuxevVq/P3337S2GSGFIPjkB3h+kT5kyBD88ssvAPDShZLlKfTo0QPr16+nC/l8ouSHlDSO4yCTyaBSqRAaGgoXF5cSP/+OHTswZswYuLu7Y/PmzWjVqlWJnJcaZAghtmA0GlGtWjWMGzcOI0aM4DscQuyOXSQ/Fn/88Qd27tyJP//8E+np6QCAoKAg1K1bF3369EG9evV4jtC+UPJDSpLBYEBKSgq8vLyKfYjbmyQmJmLw4ME4ffo0xo8fj6+//rrYChAYjUakpaUhIiKiWI5PCCl9Dhw4gGHDhuHRo0f0/U1IAdlV8kNsi5IfUhI4joNcLodCoUBoaKhgqpyxLIslS5Zg2rRpqFKlCrZt24aqVava9BxU1poQUhw4jkPLli3RoEEDfPPNN3yHQ4hdEXzBA0KI/TKbzUhKSoLRaER0dLSgEgCRSIQJEybg2rVrMBgMqFu3LpYvX27TKkpU1poQUhwYhsHixYvx/fffIy4uju9wCLErlPwQQoqFRqNBfHw8fH19ERQUJNg5LzVr1sSff/6JoUOH4pNPPkGHDh2gVCqLfFwqa00IKU61a9dGr169MHXqVL5DIcSuCGrY2+bNmwEAPj4+6Nq1a677CmrQoEE2i8tR0bA3UhwsJax1Oh3CwsIgFov5Dinfjhw5gi1btmDbtm0QiQrfNmQ2mxEfH4/IyEiqxkQIKTaJiYmoWLEizp8/jzp16vAdDiF2QVDJj0gkAsMwqFixIu7evZvrvoJgGAYmk6k4QnQolPwQWzMajUhOToZEIimxEtZCxLIsDAYD3Nzc+A6FEOLgpkyZgr/++gsnTpzgOxRC7IKgmiSjoqLAMAzCwsJeuo8QImw5OTnIzMxEaGhoqb/oF4lEpf53QAgpGZMnT0a5cuVw4sQJtGnThu9wCBE8QfX8kJJFPT/EFjiOQ1paGsxmM0JDQ4s0XEzI8rNWD8uyDvv8CSHCtWjRImzfvh1//vknfQYR8gb0DiGEFJrBYEBcXBzc3d0RHh7u0F+6Y8eOxaRJk2A0GvN8nOM4JCQk0JBbQkiJGzNmDDIzM7Fr1y6+QyFE8AR/pRIfH4+kpKR8b5+cnIz4+PhijIgQAjzvOUxOTkZYWBh8fHz4DqdYcRyHMmXKYMmSJWjZsmWen0mWstZU4IAQUtLc3NwwZ84cfPHFF9Dr9XyHQ4igCT75iYmJwTvvvJPv7Rs3boyyZcsWY0SElG6WYW4qlQpRUVFwcXHhO6RixzAMxo8fj3PnzuHp06eoWbMmfvvtN+vjVNaaEMK3gQMHwsPDA2vWrOE7FEIETfDJD4ACLzpI05gIKR5msxkJCQlwdnZGWFiYQw9zy0vjxo1x48YN1K5dG+3atcPMmTNhNBqRmpqK0NBQKs5CCOGNWCzG/Pnz8dVXX9lkrTJCHJXDXbnodDoadkJIMdDpdIiPj0dAQAD8/Pz4Doc3gYGBOHr0KObMmYO5c+diw4YNcHd3p88dQgjvOnbsiMqVK2PJkiV8h0KIYAm+2ptIJEJISAiSk5PfuG1ycjKioqIQFBSUr+1LO6r2RvJLoVBALpcjPDycLvJfcOLECYwdOxZmsxn79+9HlSpV+A6JEFLKXbhwAR07dsTTp0/h7+/PdziECI7grmLOnz+Ps2fP5rpPpVJhzpw5r9yH4zjI5XIcOXIEHMehfv36xRwlIaWDZX4Px3G05lYe2rRpg8OHD6Nr165o0KABtm7dii5duvAdFiGkFGvatCkaNWqEb7/9FgsWLOA7HEIER3A9P7Nnz8bs2bOtF1n5WVvDguM4uLm54ezZswUqklBaUc8PeR2TyYSkpCT4+PhAKpXyHY6gcBwHlmUhFosBPF/gdfDgwfj111+xfv16DBkyhOcICSGl2Z9//onmzZvj0aNHCA0N5TucQinI9R8hBSG45GfTpk3YuHGj9f/nzp2Di4sLGjZs+Mp9RCIRvL29Ua1aNQwePBjly5cvgUjtHyU/5FW0Wi1SU1MREhICd3d3vsMRnIyMDDg5OeWq7sayLBYtWoS+ffsiMjKSx+gIIQTo0aMHQkNDsWLFCr5DKRCDwVAqqogS/ggu+fmvgsz5IQVDyQ/Ji1wuh0KhoPk9r6DVapGZmYmIiAhqlSSECNadO3dQt25d3Lt3DzExMXyH81osy2LDhg04fvw4vLy8EBYWhq5du6JevXrWx0tbdVFSfASf/GzatAnu7u7o1asX36E4HEp+yIs4jkN6ejpYlkVISAhd2OeBZVnExcUhMjKSEkNCiOANHDgQzs7O+Omnn/gO5SWW4cM7d+7EtGnTkJCQAOB5yW6z2YzQ0FAMHTr0tXO+CSkMwSc/pPhQ8kMsWJZFUlISPD09S3UZ6zexzIHy8vLiOxRCCHmjx48fo1q1arh58yYqVqzIdzgvuXz5Mvr06YOEhASMHDkS/fr1Q1RUFJYvX44tW7YgLS0NixYtwsiRI+Hu7k7zgIhNUPJTilHyQ4DnhQ0SExPh7+8PiUTCdziClZOTA7VajZCQkALve+TIEZw9exbz58+noRuEkBL18ccfQ6FQYOfOnXyHkovRaETDhg1x/fp1rFq1CiNGjMj1+MaNGzFkyBCEhobim2++waBBg3iKlDgau/kW1uv12L59O0aNGoUuXbqgVatWaNmyZZ63Vq1a2ey8R44cQevWreHn5wdPT0/Url0by5cvB8uyBToOwzD5um3atCnXfhs3bnzjPseOHbPZ8yWli06nQ0JCAkJCQijxeQNPT08EBQUVat+4uDgsWrQIvXr1glartXFkhBDyatOnT8f+/ftx584dvkPJ5cGDB0hMTERISAiaNGkC4HljnMUHH3yAmjVrIiUlBVu2bMH169cBPB8uR0hR2MWg9d9//x29e/dGcnJyri5PyxvgxS5QW3aJzp8/H1OnTgUAlC1bFl5eXrh16xY++eQTnDx5Er/++mu+W3EbN278yseys7Nx9+5dAECDBg3y3CYoKAgVKlTI87EXK04Rkl8qlco6cd/Z2ZnvcASvKD02I0eORFhYGPr27YuWLVviwIEDCAwMtGF0hBCSt8jISHz44Yf46quvBNH7Y7lOUyqVSE9Ph7+/P8qVKwcA1rmUJpMJTk5OGDBgAG7evInr169j9+7dqF27Ng17I0Um+OQnISEBHTt2hEKhQPXq1dGuXTssWLAAXl5e+Oyzz5CamorTp0/jyZMnCAgIwIgRI6xrbxTF5cuXMW3aNIhEImzduhV9+/YFANy6dQtt27bFgQMHsGTJEkyYMCFfx7t48eIrH5s+fTru3r2Ld95555Vjctu3b5+rBDghRSGTyaBWqxEVFUXDsN7AVmVXu3btinPnzqFz585o0KABjhw5Isgx+IQQxzN16lS89dZbuHPnDqpWrcprLJbkxc/PD1FRUYiPj8epU6fQqVMnmM1miMVi63VceHg4gOeNxCdPnrTGT3N/SFEI/qpnyZIlUCgUaN++PW7cuIH58+cDALy8vDBnzhz8+OOPePToEVauXIns7GzcunULM2fOLPJ5586dC47jMGzYMGviAwA1atTAkiVLADzvGTIajUU6D8dx2LZtG4DnVVkIKU4cxyE1NRUGgwERERGU+LyBVqtFWlqazY5Xr149XLlyBW5ubmjYsCHOnz9vs2MTQsirvNj7U9zyOy3A1dUVtWrVAgDrkH9LpTdLYnP+/HkwDIPy5cvj33//xYULFwCAEh9SJIK/8vntt9/AMAxmz5792hf7yJEjMXv2bBw6dAhr164t0jmVSiVOnjwJABg6dOhLj/fs2RPe3t7IysrCmTNninSuCxcu4NmzZ3B2dkafPn2KdCxCXodlWSQmJsLFxYVKWecDy7JITU21+eroMTExuHTpEmrVqoU2bdpYGz8IIaQ4TZ06tVjm/sTHx+PHH3/Eli1bcP78+Xw3qsXExKB169bw9fXFzz//jE2bNkGtVlt7fX7++Wds374dTZo0QZMmTaDRaPDvv/9Co9HYNH5S+gg++YmPj4dIJELt2rVz3W8wGF7advTo0WAYpsjDw27cuAGDwQA3N7eXzgsAzs7O1oW3rl69WqRzbd26FQDQrl07BAQEvHK7W7duoV+/fmjZsiW6deuG2bNn4/Hjx0U6Nyk9zGYz4uPj4evrS6Ws8yklJQWBgYHFsp6PVCrF0aNH0a9fPwwYMMDa00wIIcXF1r0/T58+xdChQxETE4MRI0Zg8ODBiI2NxcCBA3Hq1CkAr+4FsnzedenSBf369QMAjBs3Du3atcPMmTPRqlUr9OzZEyKRCJs2bULz5s0BAI8ePYKHh0eBi04RkgsncJ6enpyvr2+u+7y8vDhnZ2eOZdmXtvfz8+P8/PyKdM61a9dyALi33nrrldsMHz6cA8ANHDiw0OfR6XScVCrlAHC7d+/Oc5sNGzZwAPK8icVibu7cuYU+v0Kh4ABwCoWi0McgwmcwGLgnT55wGo2G71DshkKh4FJSUor9PCzLcrNnz+YAcGPGjOHMZnOxn5MQUnrFx8dzbm5u3D///FOk48hkMq5r164cwzDc22+/zU2fPp2bPXs2Fx4ezjEMw/n6+nK3bt3K8zrtv1QqFff+++9zEomEYxjGeqtVqxZ34MABjuM47v79+xzDMFxISAiXk5NTpNgJEXzPT3h4OBQKBfR6vfW+iIgImM1m3Lt3L9e2Go0Gcrm8yF2i2dnZAF5fRc3ymGXbwjh48CDkcjl8fHzQuXPnPLeRSqUYO3YsLl26hLS0NOh0Oty4cQMDBw6E2WzG9OnTsWLFikLHQBybXq9HYmIiwsLC4O7uznc4dsFsNkMmkxW6rHVBMAyDGTNmYM2aNVi9evVrC6MQQkhRWXp/5syZU6j9uf/vsdm5cycOHDiA7t2749KlS/jqq68wY8YMnDp1Cu3atYNcLsfUqVPx559/5trvv8xmMzw9PbFnzx6cOnUKe/fuxYIFC3DhwgVcv37dem2kVqtzVYV71fEIyQ/BV3urUKECHj16hGfPnlkrI9WvXx8PHjzADz/8gGXLllm3XbJkCTiOQ0xMTJHOqdPpAOC1FZ5cXV0BoEhrdliGvPXs2RNubm55btOtWzd069Yt1301a9bE5s2b4e/vj++++w7Tp0/H4MGDaZ0WkotWq0VqaiqVsi4gsVhc4lXwPvroI7Rq1cr6xU4IIcVl6tSpqFChAu7du4fKlSsXaF+GYcBxHH799VcAQL9+/SCRSKDX6+Hs7IyKFSti4cKFePDgAU6cOIGwsDBUq1YN7u7ueVZoe7E6b7169axTCiw0Gg08PDzw5MkTZGVlwd3dHV5eXoV85oQ8J/ien/bt24PjOBw8eNB637Bhw8BxHFauXIkOHTrgiy++QKdOnTBz5kwwDJOrOlthWBKRvOYVWVh6ogrbmp6VlYUjR44AQKFXLZ49ezZcXV2hUChw+vTpQh0DeF7goaC3F3viiPCo1WqkpaUhMjKSEp9C4KMKHiU+hJCSEBkZiQEDBlir5xZUTk4OVCoVJBIJvL29ATxvELZ8blatWhWjR4+GRCLBwYMHrdc6+emtsczl0ev14DgOHh4eAIAtW7YAAIYPH16omAl5keB7frp06YK9e/ciPj7eel+TJk0wceJELFy4EMeOHcPx48etb6pmzZphypQpRTpnfoa05Wdo3Ovs2rULRqMRMTEx1pWNC8rb2xtVq1bF9evX8ejRo0IdA3j+QVhQM2fOxKxZswp9TlJ8cnJyIJPJEBkZaZM1r0oLvV4PJycn+p0RAM8v1EwmE0wmE8xms/VnlmXBcVyufy0/2xrDMGAYBmKx2PratPz74s9Usp4U1JQpU1CtWjXMmjULZcqUKdC+ZrMZSUlJyMnJsfbCWHp1WJaFSCRCt27dcOHCBezbtw9btmxB9+7d8/U6tWxjGV3z4MEDLFiwAAcOHEDXrl3RtWtXWuOHFJngk5/IyMg8y0l/++23aNOmDXbu3ImEhAT4+PigXbt2GDRoUJGrM1WoUAHA80pzllWG/+vJkye5ti0oy5C3AQMGFOlNbGnVN5lMhT5GQkKCtfUmvywfTERY5HI5cnJyEBkZSRdEBcCyLJKTkwvVEEDsC8dxMBqNMBqN1oTG8rPZbM61rZOTk/UmFovh5uYGkUgEkUgEhmFe+teWF2Qcx1lvZrPZmoCZzWbodLpc9/038RKLxXB2doaTkxNcXFysN7pgJBbly5dHjx49sGDBAqxevbpA+/r6+qJWrVpISEjAiRMn0LBhQ7AsmysRL1OmDDp27IgLFy7g2rVrOHv2LFq2bGlNjgDkmcQolUrcunULf//9Ny5evIhz584hNTUVtWvXxueff07XHsQmBJ/8vE7r1q3RunVrmx+3Vq1acHZ2hk6nw/Xr1/HOO+/ketxoNOKPP/4A8Hz+UUE9fvwYly9fBvA8+Skss9mM+/fvA3heBKKwvL29C5z8EOHJysqCXq9HREQEXeQUUGpqarGVtS4KtVqNQYMGYdasWXj77bf5DseumEwmGAwG6PV66PV6GAwGsCwLhmHg7OycKznw9PS0JjhCee+8mEwVpDfSkixZEjqDwQCVSpVrGLclGXJ1dYWLiwucnZ0F87xJyZk6dSrq1auH6dOnIzw8vED7tmjRAgcOHMC+ffswderUXMOrLUlN48aNUa1aNVy4cAFnzpxBy5YtIRKJrMn6i685yz5isRinTp2yFmQICQnBjBkz8Pnnn9N1CrEZYX3TC4S3tzdat26No0ePYv369S8lP3v27IFSqYS/vz9iY2MLfHzL2NV33nnHWsShMNavXw+5XA6xWFyoOIhj4DgO6enp4DgOoaGhdBFTQEqlEiKRSJCTaDUaDZ48eYJmzZrh2LFjhWpscWQsy1oTHMu/ll5wS2Lj6uoKqVQKFxeXUtEbyjCMtbcqLxzHwWAwwGAwQKfTQalUwmg0Wvf9b2Lk5OREnykOqlq1amjXrh0WL16MJUuWFGjf2rVrIzIyEnfu3MHhw4fRrVs3mM3mXA0IlSpVQp06dXDu3Dk8evQIGRkZCAwMtD7+6NEj/PXXX+jdu7e1kIKnpyf69euHmJgYBAYGol27djQUmdheCZTTtksXL17kGIbhRCIRt337duv9N2/e5IKDgzkA3Lfffptrn6VLl3LR0dFc7969X3vs8uXLcwC45cuXv3Y7hULB9enTh7t69Wqu+00mE/fjjz9ybm5uHADuo48+KuCz+9/xQev82DWWZbnk5GQuPT2d71DskmUNJCGvryOXy7nGjRtzEomEu3TpEt/h8IZlWU6j0XBZWVlcYmIi9/TpU+7Zs2dcSkoKl5WVxalUKs5oNOZrXRGSN7PZzGm1Wk6hUHDp6elcQkJCrt+zQqHgDAYD32ESG/rjjz84Dw8PLiMjo0D75eTkcD179uQYhuF69uz50uOWz9S9e/da1+zJycmxvj+PHz/ORUREcKGhodZrHKPRWMRnQ0j+MBwnnGLpmzdvBgD4+Piga9euue4rqMJWUHvR119/jenTpwMAypYtCy8vL/zzzz9gWRYdO3bE/v37c7VIzJo1C7Nnz0bz5s1x9uzZPI95+fJlNGrUCM7OzkhOTkZAQMArzy+Xy60FFaRSKcqUKQMnJyc8fPgQcrkcwPNqeL/88ssrS2W/jlKphI+PDxQKBXUn2yGO45CamgpnZ+fXvo7IqyUnJ8Pf31/w48hVKhU6duyI69ev4+jRo4UukmIvuP/vndBqtdBqtdDr9WAYBq6urvDw8IC7uzv1SJQgjuOg0+mg1Wqh0WhgMpkgFovh7u4ODw8P61woYp/atWuHunXrYu7cuQXab8uWLfjss89gMBjw888/491337X2/nD/P4xNLpcjIiICGo0GT58+RXR0NADgxo0b+Oyzz3DhwgUMHToUa9euLY6nRkieBJX8WCaNVqxYEXfv3s11X0EwDFOkAgAvOnToEJYuXYq//voLRqMRFSpUwIcffogxY8a81BWbn+Rn1KhRWL16NTp37owDBw689txGoxHfffcdfv/9d/zzzz9IT0+HVquFv78/6tSpg0GDBqFnz56FvgCg5Md+WRIfFxcX+Pv78x2O3eLsqGqQWq1G586dce3aNRw+fBjNmzfnOySbMZvNUKvV0Gg01hK3rq6ucHd3h7u7O03WFyCz2WxNhrRaLTiOg4uLizU5pb+Z/bhw4QI6deqE+Ph4+Pj45Hu/7OxsfPzxx9i7dy9atGiBU6dOWR+zfLbev38f7777LlxcXHD06FGUK1cODMPAaDRizpw5ePjwIb788ktUrVq1OJ4aIXkSVPITExMDhmFQrlw5nDx5Mtd9BfX06VNbh+dwKPmxTxzHISUlBa6urpT4lDIajQZdu3bFpUuXcOjQIbRs2ZLvkAqFZVloNBqo1WpotVqIRCJ4enpaexHootn+vNhbp9FoYDAYIBKJ4OHhAS8vL7i6utLfVcCaNGmCLl26YNKkSQXa77fffsOgQYOQnp6OH374AQMGDLCuzQMAp06dQps2bVCjRg3cuHEDwP8SI71eL/hed+KYBJX8kJJFyY/9ocSn6FiWhU6ny/UFbU+0Wi26deuG8+fP48CBA2jTpg3fIb2RZdiUSqWCRqMBAOtFMSU7jotlWajVaqjVauh0OojFYnh5ecHLy4sWXxaYAwcOYMSIEXj69GmBE5KFCxdi8uTJCAsLQ//+/TFx4kQEBATg5MmTGD9+PP7991/8+OOPGDx4sHVYHCF8ouSnFKPkx75YEh83Nzf4+fnxHY7dSk5Ohre3tyCru+WXTqdD9+7dcebMGezfvx9t27blO6RcLL0AarUaKpUKLMvCzc0NXl5e8PDwoPkhpZTJZIJKpYJKpYLJZIKLiwskEgk8PT3pNcEzlmVRrVo1TJgwAUOGDCnwvp9//jnWrFkDvV6P8uXLw8nJCf/++y8A4IMPPsC3336LwMDA4gidkAKj5KcUo+THflDiYxtKpRIajQYhISF8h1Jker0ePXr0wIkTJ3D8+HHey91zHAeNRgOlUgmdTgdXV1d4eXnB09OTWnrJSywJck5ODtRqNRiGgUQigUQiEdx6W6XFhg0b8O233+Lu3bsFTkZNJhMOHjyItWvX4uHDh1AqlahQoQI+/fRT9OzZs5giJqRwBJ/8vPXWWxg0aBAGDBiAmJgYvsNxKJT82AeO45CcnAx3d3dKfIrAaDQiMTER0dHRDtPKbDAY8OWXX2Ly5Mm8vDYsw5osa8V4eHjA29ub5neQAjObzcjJyUFOTg7MZjM8PDwgkUhoWGQJysnJQaVKlbBq1Sprxd2CMplMyMzMhEajQdmyZW0cISG2Ifjk58Vqb02bNsXAgQPRs2dPuli3AUp+hM+S+Hh4eFjLnpOC4zgO8fHxCAkJoQm2RcSyLFQqFZRKJUwmE7y8vCCRSOj3SmzG0ouYk5MDrVYLDw8P+Pj4FGpJB/JmRqMRGRkZePLkCT777DNkZGQgLi6uwMexp+qZpHQTfPPnF198gZiYGHAch/Pnz+Ojjz5CSEgI+vbtiyNHjoBlWb5DJKRYUOJjO2q1mi7Qi8BsNkMulyMhIQEJCQkwGo0IDg5GTEwMAgIC6PdKbIphGHh6eiIkJAQxMTGQSCSQyWR4+vQpMjIyYDAY+A7RIRiNRqSkpOCPP/7A9OnT0bp1a1SoUAEymQwXL14s8PEo8SH2QvA9PxaXLl3C5s2bsWfPHsjlcuubLDAwEP369cPAgQNRq1YtnqO0L9TzI1yWdXxcXV1pqBvhBcdxUKlUkMvl4DiO5mMQ3nEcB7VaDblcDpPJBIlEAh8fH3pNFoJSqcTdu3exYcMGbN68Gd27d8fMmTNRsWJFTJkyBXfv3n3jWoSE2Cu7SX4sDAYDDh06hM2bN+Po0aMwGo3WRKhy5coYPHgw+vfvj7CwMJ4jFT5KfoQrPT0dDMNQdRxSaDqdrlDDhPR6PbKzs6HVauHl5QWpVEpliYngWIZfKhQKsCwLb29veHt7U3GNfEhJScE333yDtWvXonPnzpg5c2auRUZTUlJQpkwZ3LhxA5UrV+YxUkKKh90lPy+SyWTYuXMntmzZgqtXrwJ43u0qFoupWzwfKPkRpqysLBiNRoeoSMY3y2u7tA3HOHToEEaPHo3Tp0+jXLlyb9zebDZDoVBAqVTCxcUFUqkU7u7upe73RuyT2WyGUqlETk4OGIaBVCqFl5cXvX7/n9lsRmZmJuRyOX788UesXr0a7dq1w6xZs1C9evU89/nwww/h6uqKH374oYSjJaT42XXy86J79+5h8ODB+PPPP8EwDMxmM98hCR4lP8JjaXEPDQ2lL+4iUiqVUKvVCA0N5TuUEpeWloZmzZpBr9fjwoULiIyMfGmbF4cQmc1m+Pj4wNvb22Eq4ZHSyWg0Qi6XQ6VSWedLuri48B0WL8xmM7KyspCYmIgtW7bgxx9/RMuWLTF79mzUrl37tfveunULDRs2RHx8PAICAkooYkJKht0nP9euXcOWLVuwa9cuZGVlWauNUPLzZpT8CItSqYRCoUBERAQlPkXkiGWtCyohIQFNmzaFq6srzp8/j+DgYADPfzcymQwajQaenp6QSqWl9uKQOC5Lxbjs7GywLAs/Pz94enqWis9WlmWt5aYlEgmqVauGmjVrYvbs2XjnnXfyfZzWrVujRYsW+OKLL4oxWkJKnl0mP3Fxcdi6dSu2bNmChw8fAnj+Qefi4oJOnTph0KBB6NKlC89RCh8lP8KhUqkgk8kQGRlZKr6ci5OlrHVwcHCpL437+PFjNG3aFIGBgTh+/DiMRiMAwM/PDx4eHvRaI6WCyWSCTCaDWq2Gj48PpFKpQzeKWNbfsgz9S0xMRERERIGPc+TIEQwdOhTPnj2jio7EodhN8qNUKrF7925s2bIFly5dAsdxsITesGFDDBo0CL1794ZUKuU3UDtCyY8waDQaZGRkIDIy0qG/kEtKZmYmRCIRVcnD84uge/fu4erVq8jOzsbw4cPpvU5KLZZloVAoIJfL4eHhAT8/P4co5sGyLHJycuDj42Pz41apUgVTp07F4MGDbXpsQvgk+OTn0KFD2LJlCw4ePAi9Xm9NeMqUKYMBAwZg0KBB+ZrQS15GyQ//dDodUlJSEBUVRVWKbIBlWaSlpSEkJKRU92r8t6X74cOHaNGiBdq1a4c9e/bQa42UapYhcVlZWRCJRPD394e7uzvfYRUYy7LIzs6GUqmEn5+fzZMfAFizZg1Wr16NGzdulOrPVOJYBJ/8iEQiMAwDjuPg4+ODnj17YtCgQWjSpAnfodk9Sn74ZTAYkJSUhMjISFqngtiETqdDVlYWTCYT/Pz8clW8OnToELp27YoRI0ZgxYoVdCFDCJ5/DmdlZUGv18PX19cuqkOyLAu5XA6FQgFfX1/4+PgUW8wajQZRUVHYvXs3WrZsWSznIKSkCT75cXZ2Rrt27azzeGjcqe1Q8sMfk8mEhIQEhIeH02RzUiSWxUhlMhmcnJzg7+//yrlO69atw/DhwzFv3jxMnTq1hCMlRLjMZjPkcjmUSiUkEgl8fX0F20OakpICNzc3SKXSEknUpk+fjps3b+LQoUPFfi5CSoLgk5+MjAxa6LGYUPLDD5ZlrRPy7XGohRDl5OTAxcWlVDWOWJKerKws6/yF/PQgzp49G7NmzcLGjRtpHD8h/8FxHHJycpCdnQ1nZ2cEBATw3kBluUzjq0cqJSUFMTExuHPnDsqXL89LDITYkuBnV1PiQxwJx3FISkqy2zHmQmQ0GpGZmekQE5fzg+M4KJVKxMXFQavVIjIyEkFBQfkeOjljxgyMGjVK8EN7COEDwzDw9vZGdHQ0fH19kZaWhsTEROj1+hKPheM4yOVyPHv2zFqpkQ+hoaF47733sHLlSt5iIMSWBN/z86K///4bx48ft37pr1+/3vqY0WhERkYGGIYplYsaFgb1/JS81NRUuLi4UCUyGylNZa0tLdIymQweHh7w9/cX7LAcQhyJXq9Heno6RCIRgoKCir2hxdLAIZPJ4O3tDV9fX94rgf7+++9o3749kpKS4OXlxWsshBSVXSQ/CoUCQ4YMwb59+wAgz4VMNRoNoqOjkZ2djQcPHqBs2bI8RWs/KPkpWTKZDEaj0brYJCm6zMxMMAwDf39/vkMpNpakJysrC56enpT0EMITrVaL9PR0uLq6IjAwsFjehxqNBmlpaZBIJPDz8+M96bHgOA5169bFsGHDMHLkSL7DIaRIhPGueg2TyYQOHTpg37598PDwQMeOHfNs4fXw8MCQIUPAsqw1SSJEKHJycqDRaBAUFMR3KA5Dq9VCo9E4bC+apfX32bNn0Ov1iIqKQlBQECU+hPDE3d0d0dHR8PLyQkJCAjIyMsCyrE3P4ezsjOjoaAQEBAgm8QGeDwccO3YsVqxYATtoMyfktYTzznqF9evX4/Llyyhbtizu37+PAwcOvLKWfY8ePQAAR48eLckQCXktrVYLmUyGsLAwmmdhQ2q12mF/pzk5ObmSnuJqZSaEFJyXlxeio6Ph4uKCuLg4yGSyQiUEll5duVxuvc/Z2VlQSc+L+vTpg/T0dJw+fZrvUAgpEmG+w16wfft2MAyDpUuXIiws7LXb1qpVCyKRCHfv3i2h6Ah5PYPBgNTUVERERAj2C81eBQQEONz6SDqdDvHx8VCr1SWe9MhkMnz//ffUqktIPjAMAx8fH8TExAAAnj17BoVCka/3j6VSo2X+skQiKeZobcPNzQ3Dhw/H8uXL+Q6FkCIR/JXD7du3wTAM3n333Tdu6+zsDB8fH2RlZZVAZIS8ntlsRlJSEsLDw6nVnryWyWRCeno6WJZFSEgIL6V1T548ic8++wwsy2LcuHElfn5C7BHDMPDz84NUKkVWVhbi4uIQEBDwyqIAKpUKmZmZcHd3R2RkpN19N4wcORLly5fHs2fPrIkfIfZG8E3RarUaEokk3xcDBoPB4VqDif3hOA6JiYkIDg7mfY0IR2I0GiGTyfgOw2ZYlkV6ejoSExMhlUoRERHB2+ulV69emDx5MiZMmIDDhw/zEgMh9kokEiEwMBCRkZG5enVeZDaboVarERERgeDgYLtLfAAgMjISnTt3xqpVq/gOhZBCE3zyExAQAKVSCbVa/cZtHz58CLVaTaWuCe9SU1MhlUrh4eHBdygOg+M4JCcnO8Tv1LJ+R1xcHFxdXREdHS2I5zVv3jx07twZffv2xT///MN3OITYHbFYjJCQEISFhSE7OxtxcXHWNYLEYjGCg4PtvoF29OjR+Omnn6DT6fgOhZBCEXzyU69ePQDIV0vk0qVLAQCNGzcu1pgIeR2ZTAaRSPTKwhykcLKysuDl5WX36/mo1WrExcXBZDIhOjoaPj4+ginaIBKJsHXrVpQtWxadO3dGeno63yERYpdMJhNMJhOcnJyQnp6O5ORkmEwmvsOyidjYWAQEBODnn3/mOxRCCkXwyc8HH3wAjuMwY8YMpKamvnK7hQsX4ocffgDDMBgyZEgJRkjI/2g0GqhUKippbWOOUNbaaDQiISEBSqUSERERgitla+Hl5YUDBw5Aq9Xivffe42Vle0LslVarRXx8PLKzsxEaGorw8HBERkZCKpUiISEB2dnZdl9UhGEYjBgxAj/88APfoRBSKHaxyGnnzp1x+PBhhIWFYcCAAVizZg2USiV27tyJ27dvY8+ePXjw4AE4jkPfvn2xbds2vkO2C7TIqW0ZjUYkJiYiKirKLsdyCxXLsoiLi0NkZKRdDhfhOA5ZWVlQqVQICQmxm56rK1euIDY2Fr1798bGjRsF0ztFiFClpqbCbDYjMDAwz7l7ls8CtVqNkJAQuLq68hClbchkMkRERODq1at4++23+Q6HkAKxi+RHrVZjwIAB2L9/f55fwJan0L17d2zbts1uLi74RsmP7bAsi/j4eISGhtr1F5oQabVamM3mV1ZPEjKtVou0tDR4e3vD19fX7hKI7du3o3///li0aBHGjx/PdziECBrLsvnqzTUYDEhJSYGnpyf8/f3t7nPB4sMPP4SnpydWrFjBdyiEFIhdJD8Whw8fxrp163Dp0iVkZmYCAHx8fNC4cWN89NFH6NKlC88R2hdKfmyD4zgkJSXBx8fHbtZrIMXLbDYjPT0dZrMZISEhdtljZTF58mQsXrwYJ0+eRGxsLN/hECIIer0eGRkZCAwMLFSDl6XoiVwuR0hICNzd3YshyuJ19epVtGnTBsnJyXbZOEVKL7tKfl5kMplgNpuplb0IKPmxjczMTHAch8DAQL5DIQKgVCqRlZWFwMBAh7ggMJlMaNu2LW7fvo3r168jIiKC75AI4Y3BYEB6ejo4jkNQUFCRr0FMJhNSU1Ph5OSEoKAgQc4DfBWO41C7dm2MGjUKw4cP5zscQvLNft5l/+Hk5ESJD+GdSqWCTqdDQEAA36E4FI7jkJKSYlcTgw0GA+Lj46HVahEdHe0QiQ/w/LN2586d6N27N6RSKd/hEMILg8GApKQkpKWlISAgAJGRkTa5BnFyckJERAQ8PT0RFxcHlUplg2hLBsMwGDlyJFavXm1Xn9WE2G3PDyk66vkpGsuXYXR0tF211tmDzMxMMAwDf39/vkN5I0eaxEwIyZtlwdLiHJ5mGS7LsixCQkLsonCOSqVCWFgYTp06ZV2ahBChE1Tyc/78eZsdq1mzZjY7lqOi5KfwLBXIwsPD86zqQwpPq9UiIyMDkZGRgp8IrNfrkZKSAh8fH0ilUsHHSwjJH6PRCKPRyMviwxqNBmlpafDz84O3t7fgP1c+/vhjMAxDpa+J3RBU8iMSiWzyJmcYxmEWEytOlPwUnqXAgaMMbRIKeylrzXEcZDIZVCoVQkNDKQEmxEGYTCZkZGTAYDAgKCiIt0IELMsiMzMTOp0OoaGhcHZ25iWO/Pjjjz/QqlUrawU7QoROcGN1OI4r8o1lWb6fBnFg2dnZcHJyosSnGKSmpiIgIEDQiY9lsVKO4xAVFUWJDyEOwFJ4ICkpCd7e3oiOjua1AptIJEJQUBCCgoKQlJSErKwswc6rqVu3LmJiYrBnzx6+QyEkXwSV/LAsm+dt//79kEqlKFeuHNasWYOHDx9Cq9VCp9Ph0aNHWLNmDSpUqACpVIoDBw5Q8kOKjU6ng1KpRFBQEN+hOByO4+Dh4SHocuEKhQKJiYkICgpCQECA4IejFCeO4/Dzzz/DbDbzHQohRWI2m5GUlAQvLy9ER0cLqvfCzc0N0dHRAIC4uDjo9XqeI3oZwzAYNmwY1q1bx3cohOSLoIa95eX69eto3Lgx6tevj6NHj76yJUan06Fdu3a4evUqLl++jJo1a5ZsoHaIhr0VjGVIVkREhKCHIBDbM5vNSElJgbOzMwIDA6nABYBbt26hdu3a+PLLLzFr1iy+wyGkQDiOs7vGC8viqBKJRHCLJstkMoSFheHGjRuoXLky3+EQ8lqC/wafP38+DAYDfvjhh9d2Qbu5uWH16tXQ6/WYP39+CUZISovk5GQEBgZS4lPKqFQqxMfHw8/PD8HBwZT4/L8aNWpg5syZ+Oqrr3Du3Dm+wyEkXywV1RITEwU7jOxVXFxcEBUVBbPZjMTEREH1uvr5+eG9997D+vXr+Q6FkDcSfM9PWFgYtFotsrOz87W9r68v3N3dkZycXMyR2T/q+cm/7OxsGI1GGu5WDLKysuDu7s5LVaXXYVkWaWlp4DgOISEhlPTkwWw2o1WrVnj06BFu3rxJ610RwWJZFllZWVCpVPD394dEIhFUz0lBqdVqpKenIzQ0FG5ubnyHAwA4ffo0+vTpg8TERJoLSQRN8N/m2dnZ0Ol0+ZrHw7IsdDpdvhMlQvLDMs8n7XRV5gAAqwNJREFUMDCQ71AcjlarhVqt5nVicV70ej3i4uLg5eWFsLAwSnxeQSwWY9u2bdDpdPjwww/triWdlA4ymQxxcXFwdXVFTEyMXZSPfhNPT09ERkYiLS1NMNc8sbGx8PLywsGDB/kOhZDXEvw3enh4OAwGA/bt2/fGbfft2we9Xo/w8PDiD4yUCpa5HuHh4Xb/ZSk0LMsiNTUVYWFhgvrdKhQKpKSkICIiQtDFF4QiPDwcmzZtwqFDh/D999/zHQ4hL/Hw8HCYpOdFTk5OiIqKsi64zXexJ5FIhKFDh1LhAyJ4gk9+unfvDo7j8NFHH+Hs2bOv3O78+fP46KOPwDAMunfvXnIBEofFcRxSUlIQFBQk6NLL9kpoZa1ZlkVKSgo0Gg2io6NpblcBdOzYEePGjcOkSZPw119/8R0OKcUsw9sMBoP1Pjc3N4dKel7EMAyCg4Ph7e0tiGpwgwYNwsmTJ2nqARE0wc/5kcvlqFmzJuLj48EwDBo3boyWLVtaW+ITExNx5swZXLx40bruxs2bNyGVSvkOXfBozs/r0Tyf4qNUKqFWqxEaGsp3KACeV1FKTk6Gr68vfHx8+A7HLun1ejRu3BhyuRzXr1+nzxRSojiOQ3Z2NhQKBaRSKaRSqcMmPK9iNBqRlJTE++dY69at0bZtW0ycOJG3GAh5HcEnPwDw7Nkz9OzZ09qi+N8PNMtTqF27Nvbs2YMyZcqUeIz2iJKfV9Pr9UhNTUVUVFSp+wItCSqVCh4eHoKYS5OTk4PMzEyEhYXB1dWV73Ds2qNHj1CrVi106dIFW7dupfcOKXYcx0Eul0Mul8PHx0dwJaBLGsdxSE1NBQDeqlNu3boV8+fPx+3bt0v134IIl10kP8Dzruyff/4ZO3fuxJ9//on09HQAQFBQEOrWrYvevXujR48eEIvFPEdqPyj5yRvHcYiLi0N4eDgNfXJgHMchPT0dJpMJoaGhgkjEHMH27dvRv39/bNiwAR988AHf4RAHl5OTA6PRCKlUSu/hFyiVSuvaOyVdeU2tViMkJARnzpxB3bp1S/TchOSH3SQ/xPYo+clbWloa3NzcaPhTMRDKwoImkwlJSUnw9vaGr68v3+E4nCFDhuDy5cu4ffu2YOZ0EcfAcRzMZjO9rvLBUgghICCgxIu3DBkyBJ6enli+fHmJnpeQ/KDkpxSj5OdlGo0GMpkMERERfIficLRaLRQKBUJCQniPIzU1VVDrYzgatVoNvV4PPz8/vkMhDoLjOGtvhp+fHzVO5ZOlqqZIJEJwcHCJNT6dP38e3bt3R3JyMg0nJoJDfcSE/D+z2Yy0tDTBTMJ3JJYvYL4XwVQoFEhPT0dUVBQlPsXI09OTEh9iE5ak59mzZzAYDIiOjqbEpwBEIhHCwsLg5uaG+Ph4GI3GEjlvkyZN4OPjg8OHD5fI+QgpCEp+CPl/qampCAwMpHljxYDvstaW+T1qtRpRUVH0NybEDpjNZjx79gw6nQ5RUVEIDAykeT2FJJVKERwcjMTERGg0mmI/n0gkwqBBg7Bp06ZiPxchBUXD3koxGvb2P0qlEhqNhvchWY6I77LWLMsiOTkZ7u7u8Pf35yUGQkjhmM1maqywIbPZjMTEREil0mLvQXvy5AkqVaqEpKQkBAYGFuu5CCkIakIhpZ7JZEJWVhat51MMjEYjsrKyEBwczMv5TSYT4uPj4ePjQ4kPIQKnUqmQlJSEF9tkKfGxLbFYjKioKKjVaqSnp6M427/Lli2LevXqYc+ePcV2DqG5efMmlEol32GQN6Dkh5RqHMchOTmZSh0XE4ZhEBYWxsvvVqfTISEhASEhISVe6YjkxnEcNm7ciAsXLvAdChEgtVqNuLg4qFSqEp2UX1pZPpfFYvFLyaat9e/fH9u2bSu24/NNp9Nhz549eP/99+Hk5ITatWvjn3/+4Tss8gY07K0Uo2FvgEwmA8uyvE/EJ7ZlqQoVERFBJXEFgGVZxMbGIiEhAX///TclowTA8+qaGRkZcHV15XVOYGmmUCigUCgQERFRLI1UlgWk79+/7zAL0GdkZGD//v3Yvn07zp49a72/atWqqFevHr744guUK1eOvwDJG1HyU4qV9uTHYDAgJSUFUVFR1NJoY3yt58NxHLKysqDX66k3T2CePHmCGjVqoE+fPli7di3f4RABkMvl8PT0pMWkeaZWq5GRkVFsjUWdOnVCo0aNMG3aNJsfu6SdOXMG7dq1g9FohEgkQt26ddGkSRO0bt0a9evXp3Xj7ARdGZBSieM4pKSkIDQ0lBIfG2NZFnFxcWBZtkTPa/mbchzH21A78mply5bFkiVLsG7dOhw6dIjvcAgPtFotzGaz9f9SqZQSHwHw9PRESEgIEhISYDAYbH58y9A3e25rt8QeEBCAunXrwt3dHQsXLsSVK1ewaNEitGvXDr6+vuA4DiaTiedoyZvQ1QEplSwtji4uLnyH4nBSU1Ph7+9foskHy7JISkqCu7s7AgMDKaEVqGHDhqFDhw4YPnw45HI53+GQEmKZf5ednW3XF8COzM3NDeHh4UhKSoJWq7Xpsbt06YK4uDjcunXLpsctDtevX8eFCxdyFS1gWdb6nRIdHY06depAq9XmmSgyDEPDN+2AoP5CmzdvttmxBg0aZLNjEcdiNBqhUCgQHR3NdygOR6lUgmGYEp3TwbIsEhIS4OvrWyqHb9oThmHw448/okqVKpg4cSINf3NwOp0OGRkZEIlECA4OpsYmgXNxcUFkZCQSExMREBAALy8vmxzX09MT3bt3x7Zt21CzZk2bHNMWLMOzb9y4gbVr12LXrl3Izs6Gq6srKlSogPfffx+TJk3KtSC2t7c36tevjzVr1uDSpUswGAxgWRZXrlzB06dPER0dDalUiooVK8LT05PHZ0deR1BzfkQikU1abBmGoW7HfCiNc344jkNiYiICAwNzfaCRojMajUhMTER0dHSJ9fqYTCbr35O+aOzHDz/8gJEjR+L06dNo0aIF3+GQYqBUKqFUKhEYGAhXV1e+wyEFwLIsEhMT4ePjY7O1gI4dO4Zhw4YhLi5OUOXLHzx4gMGDB+Pq1auIiYlBrVq14OXlhV27dsFgMKBfv35YvXo1JBIJWJaFSCTCzZs3MXDgQGRnZ6N37964ceMGLl68CI7jrMM6e/fujbFjx6JRo0a8zYElryao5CcmJuaVL5CMjAzrqsROTk7WNTuysrKsiY6np6e1atfTp09LIGL7VhqTH4VCAb1eT2v62BjHcYiPj0dwcHCJJZWWZCskJATu7u4lck5iGyzLonnz5khNTcXff/9Nfz8H8eJFHl3w2TfLMhCWSnxFZTKZEBYWhj179qB58+Y2iLDoWJZFvXr1cOPGDXz66af44osvrM/12LFjmDlzJv744w/MnTsXU6dOtb6es7KyMGXKFKxfvx4A4OzsjNatW6NGjRq4ffs2rly5gqysLPj7++PChQuoVKkSb8+R5E1Qc36ePXuGp0+fvnSbPHkyjEYjmjRpguPHjyMnJwcpKSlISUmBSqXC8ePH0bRpUxiNRkyePJkSH5Ink8kEmUxGZa2LAcMwCAkJKbHER6/XIzExEWFhYXThbIdEIhHWrl2L+Ph4zJ49m+9wSBEZDAYkJSUhOzvbeh8lPvbNshaQ2WxGampqkedqOTk5oUePHti9e7eNIiy6Q4cO4cGDB4iKisLIkSMREBAAk8kEjuPQrl07TJo0CQCwadMmnDp1yrqfn58f6tevj6ioKMyZMwfPnj3D4cOHMW/ePBw8eBA7d+5Ew4YNkZWVhYULFyIhIQEAaL6bgAgq+cnL6dOnMWbMGHTu3Blnz55FmzZtcnWhu7i4oE2bNjh79iw6d+6MMWPG5Kq7TohFamoqgoODqQpYMSmpoS1arRbJycmIiIig4TR2rFKlSpgxYwYWLVqEGzdu8B0OKQSj0Yjk5GSkpqbCz88Pfn5+fIdEbIhhGOtcLVsshtq7d2/s3buX92kJlkqkCQkJUKvVqFSpEt566y2YzWY4OTlZE/dOnTrB398fDx8+xJ49e6BWqwE8/73Url0b3377LUaPHo3Q0FCwLGsd8taqVSvMmDEDAPDbb7/hzz//tO5HhEHwV4GLFy8Gx3FYunTpay9aGYbB4sWLwbIsFi1aVIIREnuQk5MDsVgMDw8PvkNxKCzLlmhrlkqlQlpaGqKioqhErgOYOHEiqlSpgqlTp/IdCikAs9mM5ORkpKSkwNfXF1FRUdQD68D8/Pzg7e2N+Pj4XKXKC6pp06YQiUQ4f/68zWIzGo04d+4cDhw4gMzMTOv9r1tqwXItaRmp8OzZMwDINRfJZDLB1dUV1atXBwBcu3YNN2/etD5eu3Zt9O7d27quj0gkglgstn4fNm3aFA0aNEBSUhLu3LnDe8JHchN88vPnn39CKpUiMjLyjdtGRUVBKpXijz/+KIHIiL0wm83IzMxEcHAw36E4nNTUVOtcvOKWk5MDmUyGqKgoQU2YJYXn4uKCPXv2YNu2bXyHQgpAJBJR0lPKeHt7IyAgAImJiYVOgMRiMd5//33s2rWryPHcvXsXw4cPh6+vL1q0aIHu3bujXr16mDBhAuRyOUQi0Rsb5jw8PBAQEICMjAxr7wzLsmBZFk5OTlCr1dbKpc+ePbMmbS8e97/nYBgGLMvCw8MDFSpUAPB8jhD1+giL4JOfnJwcqFSqfC28ZTAYoFarkZOTUwKREXuRnp6OwMBAGu5mY5ay1iVRZS0nJwfZ2dmIiIigv6ODqVixorWADREmk8mErKws64UewzCU9JRClqJSiYmJhV7EulevXvj555+L1BOSmZmJ6dOnY/369QgKCsLgwYPx4YcfIi4uDkuWLMGAAQOg1+tfmXBYXsdVqlRB1apVkZ2djY0bNwJ4nthbvmPu3buHo0ePIjIyEgqFAnfv3oXRaMx13LzOYTm+pdE+JSUFYrG4xBf+Jq8m+KuIMmXKwGQy5WsNoM2bN8NoNKJMmTIlEBmxB5YVxW21XgF5zmg0Iisrq0R60yjxIYQfJpMJaWlpSEpKgpubG7VeE2sClJCQUKiL+caNG8PV1RWnT58udAwrV67Evn370Lt3b/z111/YsGED1q1bh19++QVVq1bFkSNHsHTpUuuohLx6Z4DnDS+9e/cGAGzYsAETJ05EZmYmkpKSsHHjRgwYMACenp7o0qULPD09rUM9X/TfXiCTyQSxWIykpCQcP34cAFCjRg0AoO8vARH8X6Jv377gOA6ffPIJNm3a9MrtNm/ejE8++QQMw6Bv374lGCERKo7jkJaWhpCQEL5DcSgcxyElJQWhoaHF/mFOiQ8hJc9sNiMtLQ2JiYnw9PREVFQUraNFrIqSAIlEIvTs2bPQVd8MBgMOHDgAAOjfvz98fX2h1+sBAN26dcOECRMAABs3bsSZM2deeyw3NzeMGDECHTt2hMlkwuLFi1GpUiWULVsWQ4YMwbNnz7B9+3b07NkTer0eOTk5cHJyynWM//YCWR7fsmUL/vrrL/j5+aFPnz6Feq6k+AhqnZ+86HQ6NGrUCDdv3gTDMIiMjERsbCzCw8PBMAwSExNx7tw5xMfHg+M41KxZE7///jstYJkPjr7Oj0wmA8dxNKTGxrKysgCg2H+vljk+kZGRlPgQUoLS0tLg4eEBLy8v6u0hr6RWq5GZmVngz+jff/8dnTp1QmpqKlxcXAp0zuvXr6Njx47w8fHB3r17Ua1aNQD/W1dKqVSiR48eOH36NAYOHIh169a9lLBYWBYt1el02LRpE3777Tfcu3cPZrMZTZs2xeDBg9G0aVM8e/YMZcuWhZ+fH1JTU3Md7++//4anpyfKlSuHO3fu4OLFi9i2bRsuXryI8uXLY9GiRejSpQvMZjPNVRUQwSc/AJCdnY2hQ4di3759AF4eY2l5Cl26dMFPP/1E5TbzyZGTH5PJhISEhNcunEsKx9KtX5y/V5VKhaysLEp8SiGO43D37l1UrVqV71BKDbPZDIZh6L1GCqwwn9UsyyI6Oho//vgj2rdvX6DzPXz4EBUrVoSfnx+ePn1qLUjwouXLl+PLL7+Ev78/9uzZg9q1a1sTnTdJSkpCeHh4rvtu3LiBli1bIjIyEidOnMg13HvSpElYuXIlJBIJ0tPTrfc3atQI48aNQ5cuXagyqQDZxSedr68vfvnlF1y9ehXjxo1DkyZN8NZbb+Gtt95CkyZNMG7cOFy5cgX79u2jxIcAeN5yGRwcTIlPMXhxHYTiQIlP6bZjxw7UqFEDd+7c4TsUh8eyLDIzMxEfH0+leEmheHl5wd/fv0BD4EQiEd577z38+uuvBT6fr68vQkNDIZPJEBcXB+B/Za0tDeGNGzdGpUqV8PTp0wLNLWJZ1pr4WApoAcCJEyegUCjQqFEjBAcH51rioUuXLihTpgwiIiLQpk0bzJw5E9evX8fFixfRo0cPSnwESvA9P/Hx8QCAoKAgGspmY47a86PRaJCdnf1S6w0pGqPRWOwf5JT4EL1ej7fffhvh4eE4ffo0NWAUA5ZlIZPJkJOTY13DhX7PpChUKhVkMlm+52eeP38e77//vrUSWn5lZWWhZ8+eOHv2LFasWIFRo0a9NKQsJycH48ePx7p169CrVy/s3Lkz38e3DJ+zSEhIwLvvvosHDx7gzJkzaNas2Uv7PHnyBL6+vtY1f4jwCf7qIiYmBmXLloVMJuM7FGIHOI5Deno6reljY0qlMtcCcsVBrf4/9u47zIlq/QP4d9I220uyvWUBKSJIR0QFuYAioFi4IqggeEWKqKhXRQS8qBcLgiJiBUQRG3YFFQSBxUsHRensbrZvkk3vyZzfH/klbtjCliQzSc7nefIAmcnMm5By3jnnvMdMEx8KMTExeO2117Bz586ArAdC+TOZTCgrK4NIJIJCoUBycjJNfKgOS0hIQEpKCiorK1u18PXQoUMBAMXFxW06T1JSEjp37gzAM3cIQKPkKTExEd27d4dUKkVZWZmvh8gbV3PrFJlMJthsNgCeC+/r16/H9ddfj3PnzmHmzJm+mC/UqVMnmviEGd63MBISEpCcnIycnByuQ6HCgFarRWJiYrMTHKm2C0VZa6vVCpVKRRMfCgBw/fXX4+abb8YjjzxC120LsNjYWCgUCqSkpNCkhwqopKQkJCYmoqqq6qIJkFAoxIQJE7B58+Y2nUMsFqNXr16QSCQ4dOiQr/S093zeIXBdunSBVCqFyWTyXbjzvt+b62n69ddfccstt6Bz587o06cPpk+fjhMnTuBf//oXli9fTgsWRBDetzIUCgUsFku7VxTuqB9++AEjR45EWloa4uPj0a9fP6xatarN5R2XLFkChmFavJ08ebLZx584cQJTpkxBdnY2pFIpOnfu7FvJmPJwuVzQ6/V03lcAEUJQVVUV1LLWdrsdNTU1NPGh/KxYsQJarRZLly7lOpSwRQiBVqv1GzkR7GIlVHRLSUlBbGwsampqLpoA3XLLLfjiiy9a1VPU0IgRI9CpUyecOnXKN6fH2ybzvrd79uwJg8EAlUrlN6zfZrPhk08+wRNPPOGrXOptX6anp4MQApPJhNzcXMyePRvFxcVYvXo1XdQ3wvC+pTFhwgQ4HA58//33IT/3smXLMHbsWGzfvh2pqano0qULjh07hnnz5uHmm29u1wJf+fn5GDp0aJO3uLi4Jh+zY8cO9O/fHx999BHcbjd69uyJmpoaLF++HP3790dtbW1Hn2pEoEUOAk+j0SAhISFo8+2cTieqqqqQl5dHr6pRfgoLC7FgwQKsWLECJ06c4DqcsEIIgU6nQ2lpKQghSElJ4TokKoqkpaVBJBJBpVK1uN+IESNgNBpx8ODBNh2/S5cuviFoH374IYC/kx7vn9nZ2UhLS0NdXZ1fOe3i4mIsWLAAr732mm/InTf56tevH958800cPHgQf/zxB15//XUMGTKkTbFR4YH3yc/jjz+OLl26YNasWfj9999Ddt7ffvsNCxYsgEAgwEcffYRz587h2LFjOHz4MDIzM/HNN9/glVdeafNxp0+fjj179jR5KygoaLS/0WjE7bffDqvVinnz5qGyshKHDh2CUqnE0KFDcf78ecyYMSMQTzmseVdybi6BpNrO4XDAYrEErSfN7XajoqICOTk5tCIO1aRHH30UhYWFeOCBB9p8dTgaNUx63G43CgsLkZaWRntUqZBLT0/3VRNsjkQiwfjx4/HFF1+06dhSqRT//Oc/IRKJ8OOPP+J///uf7z3ucDgAeOYD2Ww29OnTx++7o1OnTsjPz4fNZsOPP/4IAL5h8t55cPn5+W2Khwo/vP9G3Lx5M2bOnAmj0YgBAwbgxhtvxAsvvIB169Zhw4YNzd466tlnnwUhBPfeey/uuOMO3/2XX365L+lZtmwZnE5nh8/VkjfffBMqlQo9evTAK6+84mskymQyfPTRRxCJRPj+++9x+PDhoMbBZ7TIQXCIxWLk5eUFpSeNZVlUVFQgMzMTMTExAT8+FRmkUileffVVbN++Hd9++y3X4fAey7K+pEcmk9Gkh+JUZmYmHA4HtFpts/vccsst2Lx5c5tH0owaNQo333wzAGDRokW+4gfeXp6tW7fCZDKhT58+UCgUvuMXFBRg6tSpePvtt/Hcc8+152lRkYDwHMMwRCAQEIFA4Pf3lm5CobBD59Tr9UQikRAAZN++fY22OxwOkpSURACQH3/8sVXHXLx4MQFAFi9e3KZYrrjiCgKAvPDCC01uv/766wkA8uSTT7bpuIR4nicAotfr2/xYPtHpdKSuro7rMKhWYlmWKJVKYjAYuA6FCgMsy5KRI0eSbt26EYfDwXU4vMKyLLFYLFyHQVHNYlmWlJeXE51O12ibWq0mq1atIgKBgMydO7fNxz5w4AAZPnw4YRiG9OjRg7z22mvktddeI2PHjiUMw5ArrriCnDhxIhBPg4owvC+JVVBQEPI5HEeOHIHD4YBUKkW/fv0abReLxRg4cCC2b9+Offv2YfTo0a0+9o4dO/Dnn39Co9EgLS0NgwYNwt13342srKxG+7pcLhw6dAgAmi2xOHToUGzduhX79u1rdQyRxLteRWFhIdehRAy73Q6JRBKUzx0hBNXV1UhISGhyZW6KuhDDMHj55ZfRt29fvPPOO5g9ezbXIXGO/P+kbI1Gg/j4eEilUjrXkeIlhmGQm5sLpVIJsVgMl8uFr7/+Gh9//DF+/vlnDBgwAD179mzX78GAAQOwdu1aPPDAA/jhhx/w4IMP+rYNGjQITz/9NLp37x7Ip0NFCN4nP6WlpSE/55kzZwB4Eq/mSiZ36tQJ27dv9+3bWrt27fL79+bNm7FkyRK88cYbmDZtmt+20tJS37C6Tp06NRtHw5ijTX19PVJTU+nwjgBxuVyoqqpCYWFhUBpTKpUKEomErolAtcnll1+OadOmhXTeJx81THri4uKQn59PC4VQvGez2bBv3z6sW7cOO3fuRLdu3XDHHXdg9erVUCgUWLt2Ld599902H5cQgqKiInz44Yc4ceIE9u7dC0IIRowY0eSFa4ry4n3ywwXv+NSWGmjebS2NZW0oOzsbCxYswM0334xOnTohNjYWR44cwbPPPostW7Zg+vTpkMlkGD9+fKM4WoqlrXFEEpfLBaPRCIVCwXUoEYEEuax1fX09WJZFRkZGwI9NRb6333476tfvqqmpgUAgoEkPxXsOhwM///wzPv74Y3z11VfIzs7GxIkT8cgjj2DEiBF+vzFjx47Ffffd56vY2loMw/iqGQ4ZMoRWZqNaLbp/SZrhXeG3YXnEC3knaVut1lYdc+bMmY3uu/LKK/H999/j1ltvxZdffomHH34Y48aN811x98bRUixtjSOSqFQqpKen0+EeAVJfX+8bQhNoJpMJZrMZeXl5AT82FR2iPfEBgKysLPp9R/Hef//7X7z88suIj4/HpEmTsGvXLvTp0wcMw8BkMqGystKvmE5mZiYGDhyI77//HtOnT2/TuejngWoP+mvSBG/jz1sysSl2ux0AOrzwFcMwWLZsGb788kucO3cOv//+Oy6//HK/OLyxNNUoDUQcBoOhzY+JiYnhtEqXw+GA0+lEQkICZzFEEpvNBrPZHJQSn3a7HSqVKmhD6SiKayzL+iqtXfh3t9sNQkijRa0FAkGLi17b7XbU19cjOzvb911LPz9UOBgwYAC++eYbDBkypNEogoSEBDgcjkYVWm+88UZ88803bU5+KKo9wir52bt3L/bs2YOKigqYzeZm131gGAbvvfdeu8/TmqFkrRka11pdu3ZFWloa6uvrcfbsWV/y0/DYWq0W2dnZQYmjPQ3exYsXY8mSJe0+Z0e1pnu8pKQE27Ztw/79+7F//378+eefcLvdWLp0KRYuXBiiSPnJaDTi66+/xtatW7F//34olUoIBAIUFRXhhhtuwPz585t8vzWk0+mwYsUKfPXVVygpKQHLssjNzcXQoUPx0EMPoXfv3nC73b5FTOm8LCqcEELgdDrhdDrhcDh8t6ZK8nqTGaFQ2OhPb/EQQojfzZsUeW8sy/rOabFYwDAMxGIxampqfOcRiUQQiUQQi8V+N28iRVF8MGrUqBa3p6Wlobq6Gnq9HsnJyQA8yc/SpUthtVo7fFGZoi4mLJKfM2fOYPLkyY3WsvFeTWvqvo4kP5dccgkAQKlUwuVyNTnc4vz58377dpR3/R6Xy+W7T6FQQCwWw+l04vz58002RgMRR3l5OZKSktr0GC57fSwWC4RC4UVjePXVV/Hqq6+GKKrwMnv2bN/K2ImJiejRowfMZjNOnTqFv/76C+vWrcOWLVswcODAJh9/5MgR3HDDDaipqUFMTIyvoo5SqcS6devQr18/9OrVy7eWD13ElOIjt9vtl9h4kx0vsVgMiUQCsViMpKQkSCSSoM21sdvtqK2thUgkQlFRUaPPjDdhapiQmc1muFwuuN1u334ikQhSqRSxsbGQSqX0ogPFS1lZWb4KcHFxcbj00kuRnZ2N7du3Y9y4cVyHR0U43ic/Go0GI0aMQGVlJTIzMzFs2DB8+umniI2Nxa233oqamhrs27cPRqMRcrkcY8eO7fA5+/btC7FYDJvNhsOHD2PQoEF+251OJw4cOAAAGDx4cIfPp1arUVdXBwB+cyJEIhH69euHffv2obi4uMly18XFxR2OIykpqc3JD1fI/y9o2pq5I3K5HOPGjcOgQYMwcOBAvPvuu9i8eXMIogwPEyZMwNy5czFs2DBfgn/u3DlMnjwZ+/fvx6233opTp041ugpXVVWFUaNGob6+HkuWLMGjjz6K+Ph43/Zjx45BJBKhpqYGycnJiIuLC+nzoqJDVVUVqqqqMGDAgFbtz7Is7HY7LBYLrFYrXC4XBAIBYmJiIJFIEBcX5+tJ4aoXJSsrq9n5nQzD+Hp+mrsyTgiBy+WC1WqFyWSCWq0GIQQCgQBSqdR3oxcjKK4xDIO8vDwolUrk5eVBLBb7hr7R5IcKutAtKdQ+Cxcu9C1WZTabCSGehU+zs7N9+5hMJvLvf/+bMAxDZs2aFZDzjhkzhgAg9913X6NtGzduJACITCYjdru9w+d68sknCQCSnJzc6HgvvPACAUB69OhBXC6X37aysjIiEokIAHLw4ME2nzccFzntyIKmU6dOJQDI0qVLAxxV+NFoNMTpdBKbzdZom1Kp9C3y+8UXXzTafvvtt190wV6NRkNqamoCGTJF+bnxxhub/F4kxLOwos1mI/X19aSyspKUlJSQ0tJSUlNTQ/R6PXE6nRxE7M9qtYZsoV+Xy0VMJhNRq9WkvLzc93pUV1cTnU5H7HY7YVk2JLFQVEM2m42cP3+euN1usn37dpKVlUXcbjfXYVERjvfJT9++fYlAICC//PKL774Lkx+vhx56iAgEAvLpp592+Lx79uwhDMMQgUBAPvroI9/9R48eJZmZmQQAeeGFF/wes2LFClJYWEhuv/12v/uPHz9OZs2aRY4fP+53v9VqJc899xwRCAQEAHn++ecbxaHX64lcLicAyLx583wrnKvVajJ06FACgIwZM6ZdzzHckh+WZX1fku3BdfKzePFiX9JQV1dH5syZQwoLC4lIJCJTp0712/enn34iN998M8nOziYSiYRkZ2eT4cOHk9dff90vYWl4zOrqajJ9+nSSnZ1NYmJiSPfu3clLL73UZEOPZVlSVlZGrFZrk7H27t2bACDLli3zu7+iooIIhUKSnJxMTCZTk481mUxEqVTSxhQVVPv37ycAyAcffEBYliVms5nU1NSQ0tJSUlpaSqqqqohWq+Vdw95ms5Hy8nJSXl7e5MWHUGFZllitVlJfX08qKirI+fPnSUVFBdHr9U0mlBQVLEajkSiVSmKz2UhiYiI5dOgQ1yFREY73w97OnTsHhmFw9dVX+93fVCW2J554Aq+99hrefvttTJw4sUPnHTp0qG9i/OTJk7Fw4UIkJCTg+PHjYFkWY8eOxSOPPOL3GJ1Oh7KyskbrzjidTqxZswZr1qxBeno6CgoKAAAnTpyAxWIBAMyYMQNPPPFEoziSkpLw8ccfY9y4cXjttdewadMmFBQU+B7rXSAsGuh0OiQlJYX9GHaVSoUBAwagsrISPXv2RHJyst88grlz52L16tUAAJlMht69e0OlUmHXrl3YuXMnxo4d2+g9ptFoMGjQIFRVVaFXr15ITEzEyZMn8dhjj6G4uBibN2/2e90uVtbaW2b9wuE1P/zwA9xuN6699loIhUKsXr0a27Ztg8lkQmFhIcaPH4/evXujoKCATsCmgqpv375YvHgxDAYDSktLER8fj8TERGRkZPDyveeteggA6enpnM6bBDzDjrzD4LwFcxwOB4xGIyorK0EIQVxcHBITExETE8PL15SKDN4KcDqdDqNGjcKWLVvoIqVUcHGdfV1MbGwsSUtL87svPj6eSCSSJvdPTU0lGRkZATv/t99+S0aMGEGSk5NJXFwcufzyy8nKlSubvDLmvQo/bNgwv/u1Wi1ZunQpGTNmDCkqKiIJCQlEIpGQvLw8ctttt5GtW7deNI7jx4+TSZMmkYyMDCKRSEhRURGZP38+qa+vb/dzC6een472+hDCn54foVBIhgwZQsrLy33bvD0wK1euJABIXFwc+eCDD/yer0ajIcuXL/cb9uc9pkgkIr169SIlJSW+bb/++itJTk4mAMjrr7/ud66ysrJmr4YfPXqUAGhyOOXMmTMJADJz5kzSq1cv334NbzfddBOnV7SpyNSwd6ekpIQolUry+++/k7S0NPL2229zHV6LXC4XKS8vb7anlY/cbjcxGAykqqqK9gpRIVFVVUVeffVVcuWVV3IdChXheJ/8dO7cmQiFQr+hO506dSICgYCcO3fOb1+Hw0GEQiGJiYkJdZhhKZySH41GQzQaTYeOwZfkJyYmhlRWVjbabrFYiEwmIwDIhg0b2nRMAE0OFXjttdcIAKJQKAjLssTtdpPz5883O+fB5XKRq6++mgAgI0aMaLT9xhtvJACIWCwmIpGIrFy5ktTX1xO9Xk9efPFFEhsbSwCQhx9+uFXxU1RLXC4X0Wq1RKlUkpKSElJTU0PMZrNf4j5p0iSSl5fHu8Qi0uYt2O12olarSVlZGSktLSV1dXXEarXyakghFd5YliX/+9//iFAo7PDvPUW1hPfjh4qKikAIQXl5ue8+b/ldb6ler/Xr1/vWGqEiB8uy0Ov1AVlTiQ9GjhyJnJycRvcXFxdDo9EgJycHU6ZMadMxhwwZ0uQwgenTp0MqlaK0tBSnTp2CVquFXC5vsnw7ACxYsAC7d+9GYmIi3n777UbbzWYzAM9QzieffBIPPvggUlNT4XA4cM8992DZsmUAgDfeeMM3xIei2oIQAoPBgPLyct/wq+zsbCgUCmRmZiIuLs5vCNaSJUtQVVWFd955h8Oo/+Z0On2V6Egza9GFI4lEAplMhoKCAuTn5yM2NhZarRalpaWoqanxDZWlqPZiGAYDBgxA165dsXXrVq7DoSIY75Of0aNHA4DfB+Guu+4CIQTPPvss5syZg3feeQdz587F3LlzwTAMJkyYwFG0VDBotVqkpKREzJjzHj16NHn/iRMnAACDBg1q87ym5o4ZHx/vW8T29OnTSEtLQ2JiYpP7vvnmm3jxxRchEomwadMmdO7cudE+DecIPfjggwDgKx0sk8kwc+ZMxMXFwW63Y+fOnW16DlT0IoTAarWiqqoKZWVlcDgcyMrKQkFBAVJTU5tN1gGgW7duuPvuu/Hcc8/55lByweVyobq6GtXV1UhJSUFeXl7EfGddSCAQICEhwZeUJicnQ6vVoqSkBCqVqsk5uRTVGkKhEDfeeCNNfqig4n3yc9NNNyE/Px+7d+/23Td27FhMmjQJLpcLb775Ju6//36sWbMGTqcT3bt3x6JFiziMmAoklmVhMBiQkpLCdSh4/vnncdVVVzW6HTlypE3HabgmTkMGgwEA2vVcMzIymt2WmZkJADAajc02xj755BPMmTMHDMNg/fr1za6X5e19k8vlkMlkcLlcqK2tRU5ODhiGQUxMDIqKigAApaWlbX4eVHRxOBxQqVQoLS2FXq9HWloaFAoF5HJ5m9aiWbx4Merr632FQkJNpVKhsrISycnJKCgoiKq1rRiGQWxsrC8RkkqlqK2thVKphMFgiKjeLyo0xo4di61bt4JlWa5DoSIU76u9de3atclG1MaNG3Httdfik08+QXl5OZKTk3H99dfjkUceQXJycugDpYKivr4eqampvLiCevr0ad+isg3p9fqAHN/bI6PT6dr82JaGmHkX0G2ux+eHH37AXXfdBZZlsXr16haH3HXr1g0AEBMTA0IIqqqqkJWV5VetzlvFquGq8xTl5Xa7YTAYYDAYIBQKkZKSArlc3qHPuEKhwL333otly5Zh5syZIV+0OTU1Fenp6SE9Jx8xDIPExEQkJibC5XJBp9P5KvGlpqbSxVWpVhkyZAgcDgcOHTrkm+ZAUYHE+56f5jAMg3/961/Ytm0bTp06hf379+M///kPTXwiCMuyMBqNvPk/Xb9+PYinSIjfbfjw4QE5fs+ePQEABw4caPMVL++QuQtZLBYolUoAngsJF9q1axduu+02OJ1O/Pe//8Xs2bNbPM+QIUMAANXV1aioqEB8fHyjctglJSUAQOfeUX6cTidqamp88zfz8vKQl5eHhISEgFzceOqpp2A2m7Fy5coOH6slbrcbtbW1sNvtvvtaGpYXrUQiEeRyORQKBeLi4lBTUwOlUgmj0Uh7g6gWiUQijB49Gj/88APXoVARKmyTHyryaTQapKWl8aLXJxSGDh0KuVyOyspKbNq0qU2P3bt3L44ePdro/rfeegs2mw2FhYW+XhuvQ4cOYfz48bBarXjyySebXGfqQsOGDUNGRgZYlsVHH32EtLQ0v+1fffUVtFotBAJBwJJCKrxZrVZUVFSgpqYGSUlJUCgUSE1N9estDITc3FzMnj0bn376aVCGy7jdbtTV1aG8vBxxcXGQSCQBP0ckYhgGCQkJyM/PR05ODmw2G0pLS1FXVwen08l1eBRPXXfddfjpp5+4DoOKUDT5oXjJ7XbDZDKFfPgKl6RSKZ5++mkAwMyZM7Fp0ya/K6RarRYrVqxocoibSCTCtGnTUFZW5rtv165deOaZZwAAjz76qF8SeerUKVx//fUwGAyYPXs2nn/++VbFKBKJsGDBAgDAK6+8gsOHD/u2nTx5Eg899BAAYPLkyb5CC1T08VZsKysrg1arRUZGBvLz84M+F+aZZ57B4cOHA7oQstvthkqlglKpRGxsLAoLC5GYmBg1F2UCSSQSIT093dcbVF1djaqqKloggWpk1KhR2LdvX8CGlVNUQ7zqq9+wYUPAjnX33XcH7FhU6NXX10Mmk3WogVFcXIybbrrJ92+TyQQA+O9//+s3NObIkSO8aag/8MADOHnyJNasWYPJkydj3rx5KCoqgkqlQnl5OdxuN26++eZG8wtmzpyJb775Bl26dMFll10Gq9WKU6dOAQDGjx/faDjbvHnzoFarwTAMjh49iquuuqrJeKZPn47p06f7/k0IwU033YT//e9/+PjjjzFw4EBceumlEAqFOH78OFiWRf/+/bFq1aoAvzJUOGBZFjqdDnq9HgkJCcjLywt4D09LmpvX1hFWqxUxMTEdnpdE/c3bG5SQkACr1Yra2lowDAO5XO5XUZKKXgUFBejSpQt27NhBK/hSAcer5GfatGkB+XFhGIYmP2GMZVmYTCbI5fIOHcfpdEKj0TS632Kx+JXE5dPEfIZh8MYbb2DcuHFYs2YN9u3bh2PHjiE9PR3Dhg3Dbbfd1uQaQXK5HPv378dTTz2FLVu2QKPRoHPnzrjvvvswf/78RlfCvfMVCCHYu3dvs/GMHDnS798qlQpJSUnYtGkTrrvuOrz99ts4fvw4nE4nevbsiTvuuAMPPfRQo3lAVGRzuVzQaDSwWCxITU1FYWFhQHtfQollWTidTl/hjoSEBI4jimyxsbHIz8+H3W6HWq0Gy7KQy+X0O4TC6NGj8fPPP9Pkhwo4hvBo5qFCoWg2+VGpVL4Gq0gkgkwmA+CZF+JyuQB4Sgh7G8zeSddU8wwGA5KTk6HX63k1vKy+vh4Mw0TMoqbBtGTJEjzzzDNYvHgxlixZEtRzWSwWaDSaiF6/hGobt9vtS3rkcjni4+PD9r3Bsiy0Wi0MBgPkcnlQepGoi3M4HFCr1XA6nb73FBWdvv32W8yfPx9nzpzhOhQqwvDq0lxpaSlKSkoa3R5//HE4nU5cddVV+PHHH2E0Gn2LyZlMJvz444+4+uqr4XQ68fjjj9PEJ4wRQqDX63mxrg/1N5ZlUVtbi+zs7LBt3FKBw7IsNBoNlEolpFIpCgsLA1a1LdRYlkV9fT3KysogEAigUCho4sMhiUSCnJwc5Obmwmg0oqysjNPFaynuDB8+3NcupKhA4lXy05RffvkFc+fOxfjx47Fz506MGjXKNxwB8HxRjho1Cjt37sT48eMxd+5curJ8GPP2QoVjI4oP9Hp9UIbx1dTUQC6X05K+UY4QAp1O55co8PnzyrJsi5Xf3G43ysrKwDCMrwodX59LtBGJRMjKykJubi70ej2USiVsNhvXYVEhlJiYiCFDhuDnn3/mOhQqwvA++Vm+fDkIIVixYkWLY8gZhsHy5cvBsixefvnlEEZIBQohBFqtlg53ayebzQa9Xh/wuRbeQhH0anj0IoTAaDSitLQULpcLhYWFvE8UjEYj+vTpg88++6zZfYRCIU16eE4kEiE7OxtZWVlQq9WorKykJbKjiHfeD0UFEu+Tn4MHDyIlJaVV1bgKCgqQkpKCAwcOhCAyKtBMJhPi4+PDdqI0lwghqK6uDviwNG+Z36ysrIAdkwov3oVyLRYLCgoKIJfLw+IzmpiYiJycHDz//PO+BYl1Oh3Ky8v9SsjTpCc8SCQS5OXlIS0tDVVVVaipqeFVsRoqOEaNGoVt27bR/2sqoHhV8KApcXFxcLvdMBqNF11UzuFwIDExEUKhkI4RbgW+FTwoKysLeWncSFFdXY34+PiA/z9WVFQgLS0t6OuzUPzjcDhQW1sLoVCIjIyMsBzyuGvXLgwfPhzbtm1DUVEREhMTkZaWFhbJG9Uyo9EItVoNmUzGi98vKjjcbjdkMhm2b9+O/v37cx0OFSF4/wtQVFQEl8vVqjWANmzYAKfTiaKiohBERgWSxWKBRCKhiU87GI1GEEIC3gDQ6/UQi8U08YkyhBCo1WpUVVUhPT0dOTk5YZn4AECfPn3wySef4Ndffw2rXivq4hITE1FYWAir1QqlUkkXSo1QQqEQw4YNwy+//MJ1KFQE4f2vwB133AFCCObNm4f333+/2f02bNiAefPmgWEY3HHHHSGMkAoEtVrd4XV9opXFYgn4sDSn04n6+vpGi6lSkc1qtfqKGRQWFob9gpMCgQBxcXH4z3/+g/3793MdDhVgAoEAmZmZyMzMRHV1NVQqFXg+mIVqh2uvvRY7duzgOgwqgvB+2JvNZsOVV16Jo0ePgmEY5OfnY/jw4cjNzQXDMKioqMCvv/4KpVIJQgj69OmDvXv3hv2PdijwZdibzWaDRqNBbm4uZzFQfyOEoLy8HBkZGfRzFCXcbjfq6urgdruRlZUVlj09hBCYTCZIpVKIxWLf/SzLokePHrj88svx6aefchghFUzeZRK0Wi0yMjLo+kAR5NixY7jqqqtQX1/v99mmqPbiffIDAFqtFjNmzMBXX30FoPEEVe9TuPHGG7F27VqkpaWFOsSwxJfkp6KiAunp6X4lzDuKEILi4mJ8/fXX2L17N06ePOlbiHHIkCGYO3curr322oCdLxLYbDb06tULZ8+eBQCUl5cjLy+v0X4KhQJlZWXNHmfw4MH43//+F7Q4qcDyzp0I54U9TSYT1Go1YmNjIZfLGw2ffeONN/DAAw/g/PnzKCws5ChKKhTcbjdqa2tBCEFmZmZYJvKUP5ZlkZGRgW+//RZDhgzhOhwqAoRF8uN14MABfPzxxzh48CDq6uoAABkZGRgwYABuv/12DBo0iOMIwwsfkh+Xy4WqqioUFBQE9Ljbt2/HyJEjAXiGRnTp0gXx8fE4c+aMr3TzwoULsXTp0oCeN1RsNhucTmdAG6sLFy7Ec8895/v3xZKfAQMGNJmw9uzZE2+99VbA4qKCw+l0oqamBmKxGBkZGWE5F8ZsNkOtVkMqlUImkzXb0DWbzcjLy8O9996Ll156KcRRUlywWCyora1FSkoKUlJSaFW/MHfbbbehX79+WLBgAdehUBEgrJIfKrD4kPzU1dUhLi4OCQkJAT3utm3bMGvWLMyfPx+TJk3yrR3kcDiwZMkS/Pe//wUAfPvttxg3blxAzx1sLMv6KuMFagjAiRMn0KdPHwwbNsy3psLFkp+SkhIoFIqAnJ8KHe96WgaDAVlZWWE7tNFoNMJsNrd68d3HH38cb731FioqKgL+fUPxEyEEGo0GZrMZ2dnZF60YS/HX6tWr8dVXX9E1f6iACL9LfVTEYFkWZrM5KGOzBw0ahBMnTmDWrFl+i6ZKJBI8//zzGDNmDADgnXfeCfi5g622thYymSxgiQ8hBDNnzoRQKPTr+aEij8vlQnl5OViWDcuCBizL+v6emJjYpvlJc+fOhclkwrp164IVHsUzDMNALpcjOzsbVVVV0Gq1tCBCmLr22muxZ88e2O12rkOhIgBNfijOGAwGJCUlBWU4QlJSUouNolGjRgEATp8+HfBzN2fJkiVgGAZLliyBSqXC3LlzoVAoIBaLMW3aNL99f/75Z9xyyy3IyclBTEwMcnJycO2112L58uWw2Wy+nrqGx6ypqcGMGTOQk5MDqVSKHj164OWXX4bL5Woxrvfeew+7d+/G7Nmz6ToKEcxkMqG8vBzp6emQy+VhNQzIW85Yp9O1+xj5+fm47bbb8Oqrr/olUVTkk0gkKCws9CX/F/tOpPinR48eSE5Oxr59+7gOhYoAYTMT0Gg04rvvvsPvv/+O+vp6OJ3OZvdlGAbvvfdeCKOj2kOn0wV8rk9r2Ww2AEBsbGzIz61SqTBgwABUVlaiZ8+eSE5O9pugPXfuXKxevRoAIJPJ0Lt3b6hUKuzatQs7d+7EzTff3OiYGo0GgwYNQlVVFXr16oXExEScPHkSjz32GIqLi7F58+Ym53SoVCo8/vjj6Ny5M5588sk2zftYunQpqqqq4HK5UFBQgNGjR+O2226jazXxDCEEdXV1cLlcKCwsDKu5PTabDSqVCkKhEFlZWR0etjR//ny8/vrrMBqNSE5ODlCUVDhgGAbp6emwWq0oLy8P6wIf0YhhGAwfPhw7d+7ENddcw3U4VLgjYWDdunUkKSmJCAQC341hmEY37/0CgYDrkMOCXq8nAIherw/5uc1mM6mqqgr5eQkhhGVZ0rdvXwKAzJ07N2TnXbx4MQFAhEIhGTJkCCkvL/dts1qthBBCVq5cSQCQuLg48sEHHxC32+3bp7S0lCxbtozU1dU1OqZIJCK9evUiJSUlvm2//vorSU5OJgDI66+/3mRMU6ZMIQDIpk2bfPcBIAD84muosLDQt8+Ft8suu4ycPXu2Xa8PFXh2u52UlJQQnU7HdSht4nK5iFKpJBUVFcRut3MdDhVh3G43qaioIDU1NYRlWa7DoVpp9erVZOTIkVyHQUUA3hc8+PHHH3HDDTeAEAKpVIohQ4a0asVxOq774rgseFBRUYGMjAxOJqC+/fbbmDlzJiQSCf766y907tw5JOddsmQJnnnmGcTExOD8+fPIycnx2261WpGfnw+NRoMNGzbgrrvuavUxAeDQoUPo16+f3/ZVq1Zh3rx5UCgUOH/+vN9QJ29FvPHjx2Pz5s2+OUTefZoreDBlyhSMGjUKV155JQoKCmA0GrFlyxY8+eSTqKqqQqdOnXD48GF6ZZ1j3jVPcnJywm6iNyEETqcz7OKmwkt9fT2MRiNyc3NpSeww8Mcff2DIkCHQ6XT0/4vqEN6/e1588UUQQjBkyBB8/fXXkMvlXIdEdZDT6QTLspw0bA4fPowHH3wQAPDss8+GLPFpaOTIkY0SHwAoLi6GRqNBTk4OpkyZ0qZjDhkypFHiAwDTp0/Hv//9b5SWluLUqVPo3r07AM9wovvvvx8JCQlYtmxZm4onbNy40e/fUqkUd999N6655hr07dsX58+fx2uvvYann366Tc+BCgyWZVFdXQ2RSITCwsKwmNtjt9uh0+mQkZEBhmHAMAxNfKigS0tLQ2xsLMrLy5GVlcXJMGiq9Xr27AmJRIIjR45g4MCBXIdDhTHeD/4+dOgQGIbB+vXraeITIerr6zlZiLakpATjxo2DzWbD5MmT8eijj4Y8BsAzcbMpJ06cAOCpVOedl8GyLGpra9t9zPj4eOTn5wPwL+7w7LPP4uzZs3j44YebfWxbKRQKzJo1CwDwxRdfBOSYVNvYbDaUlZUhOTkZmZmZvE98HA4HKisrUVdXh+TkZN7HS0We2NhY5OfnQ6VSob6+nutwqBYIBAIMHToUu3fv5joUKszxPvlxuVxISEjAJZdcwnUoVACwLAuLxRKU8tYtqampwahRo1BdXY2xY8di/fr1bW5oPf/887jqqqsa3Y4cOdKm4zT33A0GAwAgJSXFd19tbW2rrkZmZGQ0uy0zMxOAp2gIAJw5cwYvvfQSLr30Ujz++OMBbXB6V98+e/ZswI5JtY7BYEBtbS3y8/N5v46Nw+FAVVUVampqIJPJkJ+fH3Zlt6nIIRKJkJ+fD5fLhcrKSloNkMeuvvpqmvxQHcb7YW+dO3fGqVOn4Ha7aRWpCOCdZxTKK7z19fUYNWoUzp07h2HDhuGzzz5r1xo5p0+fRnFxcaP79Xp9IML0VR7ylvM1Go0ghLRqPpZKpWp2W11dnd/x//zzTzgcDpSVlbU47K9fv34QCAR49NFHW91L5n1daSnZ0CGEQK1Ww+FwoKCgICx6TwwGA1JTUzkfZlRVVYXs7OyweM2o4GIYBhkZGTAajSgrK0Nubi4deslDV199NV588UWwLBtWlSspfuH9O+fOO++E0+nEli1buA6FCgCdTufXsxFsJpMJN9xwA44fP46BAwfi22+/bXeDa/369SCENLoNHz48ILH27NkTAHDgwAE4HA6o1WpkZWW16rHeIXMXslgsUCqVAICuXbsCgG+RP7PZjNra2kY3L5VKhdraWphMplY/hz///BMAmiyUQAUey7KorKwEwzDIycnhbSPe5XL5XU2Xy+WcJz5Hjx5Ffn5+kxc0qOiVmJiI3NxcVFZW+nrLKf7o378/LBYLTp48yXUoVBjjffLz0EMPYeDAgZg9ezbOnDnDdThUB9hsNojF4pBdrbHb7bjpppuwb98+9OzZE1u3buX1ug5Dhw6FXC5HZWUl1qxZg6ysrFa/Vnv37sXRo0cb3b927VrYbDYUFhaiW7duAIBhw4ZBo9E0mcg1LP5YXl4OQgiWLFnSqhgsFgvefPNNAJ6iDlRwuVwuKJVKJCcn83bRUpfLhZqaGlRWVvKuN7B3794oKirCW2+9xXUoFM94F0X1DiXleVHcqCKRSHDFFVfQoW9Uh/B+2NumTZtw1113YdGiRbj88stx2223YfDgwRdtxN59990hipBqLa1WG7JCB263G5MmTcIvv/yCzp074+eff+akyEJbSKVSPP3003jwwQfx1FNPISMjA5MmTfI1arVaLdavX48777wT6enpfo8ViUSYNm0avv76axQWFgIA9uzZg0WLFgEAHn30UTAMA7fbDb1eD4VC0a4Yly9fjri4ONxxxx1+PXjnz5/HjBkzcPbsWcTFxXFWTCJa2Gw2VFdXIzs7m5dzZVwuFzQaDWw2G+Ryeat7MENJIBDgvvvuw6JFi7By5UrIZDKuQ6J4RCAQIDc3F/X19aioqEBubi4dZsUT3nk/M2fO5DoUKkzxPvmZNm2ar/FHCMHGjRsbldq9EMMwNPnhGZZlYbPZQtZQ+/TTT/HVV18B8PyITZw4scn9srOz8dlnn4UkptZ44IEHcPLkSaxZswaTJ0/GvHnzUFRUBJVKhfLycrjdbtx8882Nkp+ZM2fim2++QZcuXXDZZZfBarXi1KlTAIDx48dj9uzZADxD2dLT09vdS1BeXo5XX30Vc+fORadOnSCTyaDT6XD69GkQQpCQkIBNmzZxUkI8WhiNRmg0GuTn5/NyrQuTyQS1Wg25XO4rXc1X06ZNw8KFC/H+++9j/vz5XIdD8VBaWhrEYjGUSiXy8vJ4+ZmLNldeeSU+/PBDrsOgwhjvP8XhMoGXapnRaERSUlLI/i/tdrvv72fOnGl2yKS3l4QvGIbBG2+8gXHjxmHNmjXYt28fjh07hvT0dAwbNgy33XZbk2sEyeVy7N+/H0899RS2bNkCjUaDbt26Yfr06Zg/fz4EAgEcDgccDkeHKoFNmjQJLMti3759KC8vh1KphEQiwWWXXYbrrrsODzzwAAoKCjryElDNIIT4elMKCgp4exU6Li4ubNYXysjIwK233oq3334bDz/8cFjETIVeYmIiRCIRysvLaSEEHhg8eDBKSkpQV1fXYqVTimoOQ+hg1qjlrbym1+tbVVGsI8rKypCXl0cr9rWgtrbWd5WxtZYsWYJnnnkGixcvvujcnPLycmRkZCAmJqaDkVKhRghBdXU1xGIxr+b3uN1u1NfXQyAQhO2wsZ07d+Laa6/Fjh07Ala8hIpM3nWp6IKo3OvZsyeef/553HTTTVyHQoUhfl46pCKKw+GAUCikiU8LjEYj3G53u0pwt4bZbIZQKKSJTxgihKCyshJxcXEdGrIYSCzLQq1WQ6lUIiYmhvfz6VoybNgwdOvWzVesg6KaI5FIkJ+f3+YqmFTgDRkyBL/99hvXYVBhiiY/VNBptdqQlrcONy6Xq01lrduKEAKVSkWHB4QhlmVRUVGBxMREXnyGvElPWVkZxGIxFApFSIezBgPDMLjvvvvwxRdfQK1Wcx0OxXMikQgFBQXQaDS0FDaHaPJDdQRNfqigIoTAYrEgPj6e61B4iRCCqqqqNpW1biu9Xo+EhAQ6UTfMeBOf5ORkJCcncx2OjzfpCfVixcF05513ghCCTz75hOtQqDAgEAiQn58PrVYLg8HAdThRaciQIThw4ACcTifXoVBhKKxaQ3v37sWePXtQUVEBs9ncbO19hmHw3nvvhTg6qikmkwkJCQkR00gKtPr6esTFxQVt/DjLstBqtbwr7EC1jGVZlJeXQyaTdahARSDiMJlMvjmBAoGAV4lYoGRkZGDMmDHYsGED5syZw3U4VBgQCATIy8tDZWUlCCER+bngs+7duyMmJga///47+vfvz3U4VJgJi4IHZ86cweTJk3H48GG/+wkhjRrV3vvcbncoQwxLoSh4oFQqkZ2dHbS5LOHO+9oHKzlUqVSQSCT0hzmMuN1ulJeXIz09nbMeU0IIdDoddDodUlJSkJKSEvEXMD7//HNMnDgRJ06cQPfu3bkOhwoT3jl5CQkJvBiaGk2uv/56jBs3DnPnzuU6FCrM8H7Ym0ajwYgRI3Do0CFkZGRg4sSJIIRAKpXizjvvxD/+8Q8kJCSAEAKZTIapU6fSNX54wruiO018mhfMoUNut9vvqj3Ff97EJyMjg5PEhxACrVaL0tJSEEJQWFiI1NTUiE98AGDcuHG44YYb6DwOqk0YhkFubi7MZjO0Wi3X4UQVOu+Hai/eJz8rV65EZWUlBg8ejHPnzuHjjz8G4Gk0btiwAT/99BOqqqrw2GOPQa1WIzY2FuvWreM4agrw9GrQHgfuaDQayGSyqGi4RgKXywWlUonMzEzExcVxEkNtbS1YlkVhYSHS0tJ4u5ZQMEilUnz//fcYOHAg16FQYYZhGOTk5MBqtaK+vp7rcKLG4MGDsX//fq7DoMIQ73/Zvv/+ezAMg+eff77ZBkF8fDxeeOEFPPjgg3jrrbfw2WefhThKqilGoxGJiYlch8E7RqMx6D+QbrcbFouFvv5hwul0ory8HNnZ2SFdP4QQ4jd3MisrCzKZLKqSHooKBIZhkJ2dDbvdTqsGhsiAAQNw9uxZ2uNGtRnvf+HOnTsHhmFw9dVX+93vcDga7fvEE08AAN5+++2QxEY1z+FwQCwW00bUBbxlrYM9Npz2+oQPl8uFiooKZGdnQyqVhuSchBAYDAaUlpY2+V1KUVTbMQyDrKwsuFwuqFQqrsOJeHK5HEVFRTh48CDXoVBhhvctU6fTieTkZL8yvXFxcU2Oy87MzERycjJ+//33UIZINUGn03E+5O2rr77CzJkz0b9/f2RnZ0MikSAlJQVXXnklXn311ZA3+kJR1hr4u9enNVXCfv31V9x6663IycmBWCxGUlISBg8ejFdeeaXZ10ehUIBhmGZvV1xxRaCfUsTylrPOysoKSeJDCIHRaERZWRnsdjsKCgrowrcUFUAMwyAzMxNut5sOgQuBgQMH4sCBA1yHQYUZ3pe6zsnJQWlpKVwuly8ByszMRGlpKc6fP49OnTr59nU6nTAYDHQ9E44RQmA2m5Gens5pHC+//DKKi4sRExODnJwcXH755aiursZvv/2G3377DR988AG2bdsWsgo9wS5r7aVWqyGXyy/a67NixQrMnz8fAJCSkoLevXtDo9Fg//792L9/Pz755BP88ssvzU68HzBgQJMN5549e3b8SUQBQggqKiogl8tDMtTNarWitrYWcXFxyM/Ph1AoDPo5KSoaeROgyspKiEQiWnQmiAYOHIji4mKuw6DCDO97foqKikAIQXl5ue8+74TUDz/80G/f9evXg2VZ5ObmhjRGyp/NZoNUKuV8yNW9996LHTt2wGg04vz58zhw4AAqKirw22+/IS8vD4cOHcJTTz0VklhsNhtMJhNkMllQz+NyuWCz2S5aKaykpAT//ve/AQBLly5FXV0dDh06hNLSUuzduxdyuRz79+/HSy+91OwxPvvsM+zZs6fR7a233groc4pE3l7A5OTkkK3jIxKJkJ+fj4yMDJr4tAJdLoHqCG8RBK1WC4vFwnU4EYv2/FDtwfvkZ/To0QCArVu3+u676667QAjBs88+izlz5uCdd97B3LlzMXfuXDAMgwkTJnAULQV4qrzxYb2DadOmYfjw4Y1KbV9xxRV45ZVXAHiGxoWC94cw2AmhWq1u1Vyfn376CS6XC/369cPChQv9XqMhQ4Zg4cKFAIAtW7YENd5oVVdXB6lUGtShoWazGTqdzvdvsVhMk55W2rt3L7KyslBdXc11KFQY8y6EWltbC7vdznU4Ealfv36oqqqin1WqTXif/Nx0003Iz8/H7t27ffeNHTsWkyZNgsvlwptvvon7778fa9asgdPpRPfu3bFo0SIOI45uhBBYrdaQTdxuL+8ihqG6IhcTE4PnnnsODMNgyZIlUKlUmDt3LhQKBcRiMaZNm+a3/88//4xbbrkFOTk5vmF71157LVavXu33I7pkyRLfMSsqKvDggw+ia9eukEql6NGjB15++WXfeksNWa1WAPAbNtpQ586dAaDJx1Ido9FoACBovYAWiwVlZWUwGo0h61WKNN27d4dOp8MXX3zBdShUmBMKhcjLy0NVVRX9Pg2CxMRE9OjRg/b+UG3C+8kxXbt2RWlpaaP7N27ciGuvvRaffPIJysvLkZycjOuvvx6PPPII5xPto5nFYkF8fDznQ94uxrswWr9+/YJ6HkJIo9dCpVJhwIABqKysRM+ePZGcnOx3RX7u3LlYvXo1AE8DuXfv3lCpVNi1axd27tyJsWPHQqFQ+B1To9Fg8ODBqK2tRa9evZCYmIiTJ0/iscceQ3FxMTZv3uxXZKF3794AgEOHDsHhcEAikfgdzzuGuqU1T5YuXer7QS8oKMDo0aNx22230d6FFuj1ethsNuTk5AT82BaLBWq1GmKx2FfAgmqftLQ0jBo1Cp9++inmzJnDdThUmBOLxcjOzkZ5eTkKCgrod2SAeYe+3XjjjVyHQoULQkUtvV5PABC9Xh+wY1ZUVBCbzRaw4wWSy+Ui5eXlZPXq1SQxMZHEx8eTffv2Be18TqeTlJWVEZZlCSGELF68mAAgQqGQDBkyhJSXl/v2tVqthBBCVq5cSQCQuLg48sEHHxC32+3bR6PRkOXLl5O6ujrffd5jikQi0r17d1JSUuLb9uuvv5Lk5GQCgLz++uuN4vvHP/5BAJAbb7yRHDlyhFgsFlJRUUFeeuklIhKJSHZ2NlEqlY0eV1hYSAA0ebvsssvI2bNnO/zaRSKj0ej3fggkt9tNqqqqiMPhCPixo9XatWsJwzCkqqqK61CoCGEymYL2HRDNVq1aRa6//nquw6DCCE1+oligkx+32+3X+OaLFStWNGqkT5gwgfzxxx9BOyfLsqSsrIxYLBbffd5EJSYmhlRWVjZ6jMViITKZjAAgGzZsaNV5vMcEQHbt2tVo+2uvvUYAEIVC0egH12q1kscee4ykpaU1en3uuecev+SsocmTJ5N169aRU6dOEavVSurq6sj7779PcnJyCADSqVMnotPpWhV/tLBYLKSkpMQvme0omugEl0ajISKRqMkLBxTVXjqdjlRUVNAEKID27NlDMjMzuQ6DCiO8n/MjEAjaVL2tqKiIlrrmiMlk4uUcg9zcXAwdOhSDBg1CZmYmAGDHjh3YtGlT0Co6tVTWeuTIkU0OeyouLoZGo0FOTg6mTJnSpvP169cPV111VaP7p0+fDqlUitLSUpw6dapRjBUVFTCbzUhISECfPn18cX3zzTf47LPPmjzXxo0bMW3aNN/covT0dNx9990oLi5GSkoKzp8/j9dee61N8Ucyh8OBmpoa5OXlBWR9J5vNhvLycqhUKhBCAhAh1ZS0tDSMHDmy2c8BRbVHcnIypFIp6urquA4lYlx++eWoq6ujRQ+oVuN98gOgzT/wtEHADYPBwMv1DCZOnIg9e/Zg3759qKmpwf/+9z8oFAo8//zzmDt3bsDPd7Gy1j169Gjy/hMnTgAABg0a1OZGco8ePZqcZxUfH4/8/HwAwOnTp333q1QqDB48GJs2bcITTzyB+vp6HDlyBJWVldixYwdEIhHmz5+Pl19+udUxKBQKzJo1CwDoRPH/x7IsKisrkZub2+GLMna7HRUVFVCr1cjIyAhJ9cBoN3HiROzatYs2qqiAkslkYFnWrxoj1X4JCQm45JJLcOTIEa5DocJEWCQ/beFwOAJydZVqG0IIXC5Xo4nzfDR48GD88MMPiImJwdtvv42ysrJWPe7555/HVVdd1ejW8AuXZVlUV1e32DBtbg0eg8EAAG0qE+5N9PPy8prdx9vbZTQafff997//RUVFBa6//nosWbLEb3L88OHDsWLFCgCeogY2m63V8QwZMgQAcPbs2VY/JlKR/1/LRy6Xd/hzUVtbC5VKhfT0dOTl5TW5uCwVeBMmTIBQKKTJPBVwWVlZMBgMdA2gAOnbty9NfqhWi6gsQafToa6ujhdrzEQbs9mMuLg4rsNotZycHPTp0wcsy+LYsWOteszp06dRXFzc6KbX6337MAyD7OzsdlXaSkxMBIA2XQ10OBwAPOv7NMc7vMJ7fADYs2cPAOAf//hHk48ZOXIkAE9CdubMmVbH433etKSrZ1hhTEyM3+veXjTp4QYd+kYFC8MwyM3NRW1tLZxOJ9fhhL2+ffvi6NGjXIdBhQneTY75/fffG72BrVYrNmzY0OxjCCHQ6XT4/PPPwbJs0MsXU40ZjUakpqZyHUabeBvorW2or1+/HuvXr29xH4Zh2r3GUc+ePQEABw4cAMuyrerB9K7X4x0ydyGLxQKlUgnAUzbeq2Ev0MW0pefnzz//BNByT1Q0sFgssFgs7XodHA4H1Go10tLSfO8l2pvNnYkTJ+Lee+9FTU0NsrKyuA6HiiBCoRA5OTmorKxEQUEB/Zx3QN++ffHOO+9wHQYVJniX/Hz55Zf4z3/+43efwWDAPffcc9HHkv9fU2X+/PnBCo9qAiEENpstrK5Kl5aW+np8Lr/88g4fj2VZMAzToTkYQ4cOhVwuR2VlJTZt2nTRogdWq9W3XsTevXtx9OhR9OnTx2+ftWvXwmazobCwEN26dfPdf8kll+DkyZPYvn07Hn300UbH/vnnnwF4Gt1dunRpVfwWiwVvvvkmgL97jqKRy+VCbW0tCgoK2vR+cDqdUKlUcLlcSE9P5/1CwdFiwoQJmDlzJjZv3kzX/KECLiYmBnK5HFVVVcjNzaXz+Nqpb9++OHfuHPR6PV3rkboo3l1mSElJQUFBge8GeBpgDe+78KZQKNC7d29MmTIFO3fuxHXXXcfxs4guNpsNsbGxvPrSPnToEBYvXozz58832rZ161aMGTMGLpcLN9xwAzp37tyhcxFCUFFR0eGhC1KpFE8//TQAYObMmdi0aZNf8Q6tVosVK1ZApVIB8Cxs6h1qKBKJMG3aNL/5S3v27MGiRYsAAI8++qjf/483sdq6dSuWLFniF/vOnTt9FxDGjh3r16O3fPlyrFmzptHQvPPnz2Ps2LE4e/Ys4uLimkyoogEhBJWVlcjOzm71QoYulwvV1dWorq72ff81VSWQ4kZaWhr+8Y9/YPv27VyHQkWohIQExMTE0AIIHZCeno7c3NxWD2Onohw3FbZbj2EYkp2dzXUYESlQ6/zU1NQQs9kcoKgCY8eOHb41a7KyssiAAQNI7969SUpKiu/+gQMHEpVK1eFzqdXqVh3HuybP4sWLm92HZVkya9YsX4xyuZwMHDiQKBQKIhQKCQBSUlJC7HY7USqVvmPOmTOH5OfnE5FIRPr06UO6devmO8b48eMbrS/DsiyZNm2ab5/ExETSp08fkpub67uvqKio0Vo/Dz74IAFABAIB6dKlCxk8eDDp1q0bYRiGACAJCQnk22+/bdfrGAlqampIfX19mx5jsVh49/mh/KnV6oCu0URRF2JZlpSWlvJ2kfBwMG7cOLJy5Uquw6DCAO+GvV1o8eLFvFw7hvqbxWJBRkYG12H4ufzyy/Hqq69i+/bt+PPPP3Hy5Ek4HA7IZDIMGTIE//znP3HnnXd2uPywt6y1t5eyoxiGwRtvvIFx48ZhzZo12LdvH44dO4b09HQMGzYMt912G3JycqDRaPxKacvlcuzfvx9PPfUUtmzZAo1Gg27dumH69OmYP39+o7HkDMNg3bp1GDt2LNauXYuDBw/i+PHjkEql6Nu3L2666SY89NBDjYYPTJo0CSzLYt++fSgvL4dSqYREIsFll12G6667Dg888EDAXotwYzQa4Xa7Lzr3zeVywel0+np3aC8P/zVXtp6iAsVbLKeqqgqFhYW8GkkRLnr37o0//viD6zCoMMAQQhfFiVYGgwHJycnQ6/XtXp/Hbrf7FuaMNizLoqysDHl5ee2q7tZebrcb5eXlUCgUWLJkCZ555hksXrwYS5YsCVkMlD+Hw4GqqqoWJy273W6o1WpYrVakp6c3W/KcoqjopdPp4HA4eHdBMRx8/PHHWLFiBfbt28d1KBTP8b7npzkOhwNbt27FqVOnEBMT0+wK91Rw8XVh01Coq6uDTCYLaeIDeOb+hFtlvUjGsiyqqqqQk5PTZOLjdruh0WhgsVggk8mQkZFBr+pSFNWk5ORkVFRUwGKxhNXyEXzQq1cv/Pnnn62ulkpFL94lP0ajEV9++SUA4Pbbb2+ygtjBgwdx6623oqKiwu/+wYMH44svvqDlSEPIbDZDLpdzHQYnuEh8CCEwGo1QKBQhPS/VvNraWqSlpTW5kCnLsigvL4dMJkN6ejpNeiiKahHDMMjJyYFSqURBQUGrC6dQnuUcHA4HSkpKOlzIiIpsvEuNt2/fjmnTpmHlypVNJj51dXW44YYbUFFRAUKI323fvn248cYbOYg6OjmdTohEoqht0IU68QHguxoYra8535jNZrAs69f72XAksUAggEKhQGJiIv0/oyiqVYRCIdLT01FTU8N1KGFFLBajR48edN4PdVG8S352794NAJg8eXKT21944QXfavZTp05FcXExjh07hocffhiEEBw6dAiff/55yOKNZiaTKeqKURBCWr0oajDQIW/84Xa7UVdX5+tpZlkWarUa5eXloFMpI1NlZSXee+89rsOgokBCQgIEAgEMBgPXoYSVXr164ffff+c6DIrneJf87N+/HwzD4Prrr29y+8aNG8EwDMaPH49169ZhyJAh6NWrF5YvX46pU6eCEILNmzeHOOroFI3JT319PfR6PSfndrvdcLvdfsOrlixZAkIILXbAgdraWt9QNo1Gg7KyMohEIuTn59Nengh14MAB3HvvvTh79izXoVBRIDMzExqNpsNryEWTXr160Z4f6qJ4l/xUV1dDJBLh0ksvbbTtzz//RF1dHQBg3rx5jbY/+OCDAIAjR44EN0gKhBC43e4Ol4oOJ96y1mlpaZycX6fTISUlhZNzU/6MRiMAT9nqsrIyCIVCKBQKpKSk0MQngo0cORIxMTH47rvvuA6FigICgQDZ2dmorq6mvcmtRJMfqjV4l/zU1tYiKSmpyUod+/fvBwBIJJImK7tddtllYBgGVVVVQY8z2lmt1qhan4RlWVRXVyMnJ4eTxi0hBAaDAYmJiSE/N+XPW7I6KysLUqmUJj1RJCEhAddeey2+/fZbrkOhooRUKkVcXBy0Wi3XoYSFXr164cyZM7BarVyHQvEY75Ift9vd7BjXQ4cOAQB69OjRZGUlkUiE1NRU+qYPAZPJFFUN8draWk6qu3l5k01avpM7hBBotVpUVlYiMzMTAoEAUqmUJj1RZvz48di1axdnw1+p6COTyWA0GmG327kOhffy8vKQkJCA06dPcx0KxWO8a0llZGTA5XLh3Llzjbb99ttvYBgGAwcObPbxJpOJLh4YAhaLJWp6fsxmMwghnK5nRAsdcIcQAp1Oh9LSUlgsFojFYrr+RhS7/vrr4XK58Ouvv3IdChUlvOWv6fC3i2MYBt27d8eJEye4DiWo6PugY3iX/PTr1w8A8Pbbb/vdf+bMGRw9ehQAMGzYsCYfW1ZWBofDgby8vKDGGO1cLheEQmHUXPGOjY3ldO0ot9sNl8vVZOl3KngIIdDr9SgtLYXL5UJeXh4cDgcyMzO5Do3iUKdOnVBUVIRt27ZxHQoVRcRiMVJTU33znqnm9ejRIyKSn4YJjkqlwv79+7F161YcPHgwatpfwcK75OeOO+4AIQQrVqzASy+9hFOnTmH79u2YOHEiCCGIj4/H+PHjm3zsrl27AHjm/gTKDz/8gJEjRyItLQ3x8fHo168fVq1aBZZl23ScI0eOYNGiRRg2bBjkcjnEYjEyMjIwZswY36KuTVm/fj0YhmnxtnXr1o4+zTYxm81RVeVNIBBwOtxMr9cjOTmZs/NHK7PZDKfTicLCQsjlcqhUKqSnp9OhhxRGjhxJkx8q5JKTk+F0OmGxWLgOhdfCKflprgfH7XaDYRj873//w/jx45GVlYUrrrgCN9xwA2699VbMnDkTJSUlLR6Dah7vSnVNnDgRq1evxq5du/DEE0/giSee8G1jGAbz589vdq7JJ598AoZhmiyG0B7Lli3Dk08+CcBztS8hIQHHjh3DvHnzsG3bNnz55ZetagidO3fO16MFAEVFRVAoFDh//jy2bt2KrVu3YurUqVi7dm2zx8vIyMAll1zS5LZQD4cyGo1RcfXb4XA0Obcs1AwGAwoKCrgOI+JdWMEwISHBl+SbzWbffRQ1cuRIvPPOO6isrERubi7X4VBRJDs7G0qlEgqFgl79b0aPHj3w4Ycfch2GDyEEDMPAarWipKQEp06dglarRVFREa699tom9xcKhfjuu+8wb948lJaWolevXrjqqqsgFouxY8cOvPPOO1Cr1Xj++efRrVs3sCxLL8y1BeEhnU5Hxo8fTxiG8d0EAgG57777iNvtbvIxp0+fJkKhkAgEAnLu3LkOx7B3717feT/66CPf/UePHiWZmZkEAHnppZdadawzZ86Q7Oxs8sILL5Cqqirf/W63m6xatYowDEMAkFWrVjV67Lp16wgAMnXq1A4/pwvp9XoCgOj1+lY/hmVZUlJSEvBY+MZqtZLS0lLCsizncVRWVnIaQ6RjWZYYDAZSUlJC6uvrG213u93k/PnzxOVycRAdxUcqlYowDEPef/99rkOhopBGoyFqtZrrMHjr9OnTRCKREKfTyXUovjbr9u3byZVXXunXrk1MTCQTJ04khw4dIoQQv/ZGTU0NGTt2LGEYhtx7771+xzx79qyvjTx37txGj6UujpfJj9eZM2fIZ599Rj777DNSWlra4r4lJSXku+++Iz/++GNAzn3DDTcQAOS+++5rtG3jxo0EAJHJZMThcFz0WFarlZjN5ma333///QQA6d27d6NtfEt+rFYrqa6uDngsfOJt7Lbm/zbYqqurW3zvUO3HsiwxGo2kpKSE1NTUNJvc1NXVEZ1OF+LoKL7r168fueuuu7gOg4pC3ouQfGjc85HT6SQSiYScPn06aOdoTbLh3efLL78kiYmJRCAQkBEjRpAlS5aQF154gYwaNYowDENGjBhBjh8/7oudEEK2bdtGGIYhXbt2JYcPHyaEEOJwOHy/U7/99hthGIZ06dKFHDx4MBhPMaLxbthbQ126dEGXLl1ata9CoYBCoQjIeQ0Gg28894wZMxptnzhxImbNmgWNRoMdO3Zg9OjRLR5PKpW2uH306NF48803w6I0YzRU0+O6rLUXIQRWqzUqhhiGGsuyKC8vh1QqRV5eXrOL9TqdTpjNZsjl8hBHSPHdyJEj8cEHH/iGtFBUqDAMg4yMDNTW1tJhl00QiUTo2rUrTpw40ex0gdYoKSnBjz/+iL1796KmpgadO3fGlClTcOWVV0IgEFz0s88wDCorK7Fs2TKYTCbMmjULq1ev9m2/66678Oijj2LTpk34z3/+g08++cQ3dM27rhPDMOjbty9YlvVrk/To0QOdOnVCRUUFfvzxR/Tv37/dzzMa0QGCTThy5AgcDgekUqnfXB0vsVjsK7e9b9++Dp/PZrMBQIulo48dO4bJkydjxIgRmDBhAp555pkmy4EHm8Viiejkx2QycV7W2stqtSIuLo42rIJAIBAgLy8PmZmZzSY+AFBXV4fMzEz6f0A1MmbMGPTt25eu90NxIi4uDoQQX/uB8tfRogd//fUX5s6di9mzZ+PDDz/Etm3b8NZbb2HUqFF4+OGHAaBVvwtlZWXYv38/cnJysGDBAgCeirksyyI7OxuLFy8GAGzbtg3Hjx/3JVVGoxHA3+3DC+fzJCcnIyYmBna7Hbt374bL5Wr3c41GNPlpwpkzZwAABQUFzTaMOnXq5LdvR3z66acAgKFDhza7z9GjR7Fp0ybs2LEDX3/9NZYsWYJu3brhueee6/D5W4sQEtGT6liWhVqt5rSsdUM6nY5WeQsQi8WCyspKv6o4QqGwxcd4F0uOlvWsqLYZPnw4vv/+e6SkpHAdChWlvL0/VGM9evTAyZMn2/VYjUaDOXPmYMuWLZgyZQp++eUX/Pnnn76e3rfffhtPP/00gItXWvO2ESUSia+XTiQS+dpRXbt2RW5uLrRaLb7//nuwLAuGYZCeno6EhAQolUpoNBrfuViW9VUb9i56W1paCpVK1a7nGq0isxXbQd7uxpaqqHm3efdtr59++glfffUVAOCxxx5rtD0lJQUPPPAAiouLUVtbC5vNhiNHjuCuu+6C2+3GwoUL8frrr3cohtay2WwXHcIXzgQCAQoKCniR3BFCYLfbI/r1DgWr1QqlUgmdToeMjIxW9+AQQlBbW0uHHFIUxVsSiQQxMTG+XgLqb5dcckm7L07v2bMHv/76Ky677DK8+uqrGD58OHr06IEpU6bgvffeg91ux8svv4yqqqqL/qaYzWbExMQ0+f/kdrsBwFfBeP/+/b425cCBA5GdnQ0A2LBhAywWCxiG8S29sXbtWlRUVADwjFDw/p1qHe5beTzk7WZsqcyxd8FJ79Xh9lAqlZgyZQoAYPbs2bjmmmsa7TNhwgS89tpruPLKK5GRkYGYmBj06dMHGzZswEMPPQQAWLhwYUi+/Mxmc0QPeQMady1zJRpe62Cy2WxQKpXQarXIyspCTk5Om+Zw6fV6xMfHtzgkjopwdXXAd98BixYBY8YAcjnAMJ7btGlcR0dRAID09HSo1Wq61ssFOpL8vPvuuwCAf/7zn0hLSwPxFAcDAEyZMgU9e/aE3W7HRx99BKfT2eQxvPtnZmYiJSUFp06dglKpBPD3wuVCoRB6vd43ukCpVPp68jIzMzF+/HgwDIMnnngCy5cvx5kzZ3Do0CGsWbMG8+fPR25uLi655BJYLBZfzw99H7QOP1p6POO92u5wOJrdx9vd2N4hMfX19RgzZgzUajWGDx+OV155pc3HeOaZZxATEwO9Xo9ffvmlXXEAngIPrbnV1tbC5XLBYDD4nn8kcDgcvBsvq9fr6XCaDrDZbL6kp61rNbEsC61WC5lMFqToqLCQmQmMHw8sXQps3Qr8/9ATiuIToVCIpKQk6HQ6rkPhlUsuuQR1dXUwGAxtfuz58+cB/D0VwbugvHe42Y033gjAM0+nrq6uyWN4e4T69evnK9z12WefwWKxQCgU+i6srV27Fr///jsATw9OdXW17xhPPfUUZs2aBafTicWLF6Nbt24YOHAg5syZg8suuwzPPPMMMjMzIRQK6cK3bUQvazahNUPaWjM0rjkmkwk33HAD/vrrL/Tv3x/ffPONryepLZKSktCzZ08cPnwYZ8+ebfPjvfLz89v8mMWLF2PJkiXtPidfsCyLyspK5OXlcR2KD8uycDqdvFhgNVzY7Xa/H5SOJI4ajQZpaWm86QWkeCA/H+jRA/jpp0abWJaFw+GA3W6H3W6Hw+HwNZLachVWIpFAIpFALBb7/k7fg1RrpKWlobS0FMnJyfQ98//S0tKQlpaGM2fOtKkSml6v9w1D835+L5zr3L9/f2RmZuKvv/5CWVkZcnNzm5wPTQhBUVERxo8fj+LiYjz77LNQqVS48847odPpsHv3bqxatQp5eXlISkpCeXm5L1lzuVxITU3FSy+9hAkTJmDDhg04f/48kpOT0b9/f0ybNg0Mw+DZZ59FcnKy72IdLc7TOjT5aYK3NKJSqYTL5Wpy6Iv3ykBbyyja7XbcdNNN2LdvHy699FJs3brV90FrD+9Qno70XJSXl1+0upnNZoNer/fNgWhPssZHdXV1vChr3ZDZbEZCQgLXYYQFu93u6+4PxPwcl8tFS1tTHosWAQMHem6ZmXCfOwfh/1/BtVqtUCmVvsnJ3jH9CQkJfkmL94rxxRBC4HA44HQ64XA4YLFY4HA4fI0voVDoS4i88zwuVrCDih4Mw0Amk0GtViMjI4PrcHjDO/StLcmPw+HwtQcuLCLg/SwXFhYiOzsbf/31F0pKSnDllVe2eMw5c+bAbrdj8eLFWLNmDdasWePbNm7cOMyePRtPPfUUGIbx+8wDntFFI0eOxMiRIxsdt6ysDKdPn0Zubi4tdd1GNPlpQt++fSEWi2Gz2XD48GEMGjTIb7vT6cSBAwcAAIMHD271cV0uF/75z3/il19+QadOnfDzzz93qJHldrtx6tQpAOhQz0VSUtJFkx+n04nMzExelIAOFJPJBJZlefec9Ho9/QG7CIfDAZVKBZZlkZ6eHrDCEGq1GnK5nF49o+B6+mkYjUYYjUaQsjKIamrgXVFFIpEgLy8PAoEABw4cwLp167B69ep2v28aJlAXIoTA7Xb7kiOTyeSb4xEbG4uEhATExsbS92yUS0xMhFarhdPp5NXFPC61Z95PTEwM4uLiAAA1NTUAGvfgpqenIzMzE0ePHkV5eXmzx/J+JuPj47FgwQJMmDDBV6ggLS0NAwYMwLhx4yCVSlFWVgaBQICioiK/xzbkdrt9RRIkEgl++OEHAJ6KcXxrx/AdTX6akJSUhJEjR2LLli147733GiU/n332GQwGA2QyGYYPH96qYxJCMG3aNHzzzTfIycnBtm3bkJOT06E433vvPeh0OgiFwlbH0V4Wi6XD8fKJy+WCSqVCYWEh16H4IYTA5XLRIW8tMBqN0Ol0AU16AE9C5XA4aK9bFLPb7TAajTCbzRAIBEhMTERubq7nKuyFZdL/v3dHo9FgzZo1ePjhhzu0oGJzGIaBSCRqNAKBEAKLxQKj0Yi6ujqIRCIkJSUhISGBDn2KQt6FT+vq6ujCp/+vPcmPVCr1LTHhraDmTUS8fyYmJvoKEnnnWl3s4oNQKESvXr2wYsWKRtvKy8tRX1+PpKQkXHrppS0ew9sj9Pvvv+O1114DAF/Zbar16DdkM7xdkO+++y42bdrku//YsWOYP38+AODf//63XyN15cqVUCgUmDRpUqPjPfjgg9i4cSPkcjm2bdvmy+5bYjAYcMcdd2D//v1+97vdbrzzzjt48MEHAQAzZswI6ped98pjJA2z8K7nw7dGgslkolXemtDwyltCQgLy8/MDXgZcpVIhPT09oMek+I0QAqvVitraWpSWlkKtViMmJgb5+fnIz89HSkrKRb/3hgwZAoZhsGfPnhBF7cEwDOLj45GZmQmFQoGMjAw4nU6Ul5f7Kh3yrZALFVyxsbF04dMG2pP8iMVi3zxo72MvTGzi4+N9Jae92rKMgtPphN1u9/0/rV27FgzDYMyYMY16merq6rBnzx4YjUYYDAacPHkSn332Ge6//36cOnUKDz300EWH3VGN0Z6fZgwdOhRLly7FwoULMXnyZCxcuBAJCQk4fvw4WJbF2LFj8cgjj/g9RqfToaysDAqFwu/+3377DatWrQLg+XL617/+1ex5G/6AsiyLjz/+GB9//DFSUlJQVFQEkUiEM2fO+K42jBkzBq+++mpgnnQz7HZ7xMzx8crMzOTlMBGDwUAb4A04nU6o1WqIxWLfENFg/L/ZbDbfMCIqshFCYDabfVUrY2NjkZSU1KZ1oBpKTk5Gr169sGfPHtxzzz1BiLh1JBIJZDIZZDIZXC4XjEYjqqqqQAhBQkICkpOTaen2KJCRkYGamhoUFBRwHQrn2pP8MAyD7t27A/AsLu+9ryGJRAKdTgeWZZGZmdmmxd8ZhvEblrh37158+OGHIIRg9uzZkEqlIIT4zllfX4/58+fj4MGDSE5Ohtvt9l0kXbBgAR599FE6UqQd6DdhC5566ilcfvnlWLFiBQ4dOoSamhr06tUL99xzD+bOndvqnpCGZaHLy8tbHCPaUHx8PF588UXs3bsXx48fx7lz52C1WiGTyTB27FjcfffdmDhxYtAb8RaLxTcGNlLwMfHxXhGiX2SeYYlqtRp2ux3p6elBf/+p1WqadEY4QggMBgPq6+sRFxcHmUwWsIs6V111FbZv3x6QYwWCSCRCamoqUlNTwbIsTCYTKisrERMTw7sCL1RgeYtimEymqB/C27lzZ2g0GtTX1yMtLa3Vj7v66qshl8uhVCrx119/+Q1F8yY63oq/Xbt2hUAg8EtY1Go1EhMT/b5fysrKcPbsWSgUCgiFQlRUVODw4cN44403cO7cOSxcuBBXX301AP/2SW5uLm699VaIRCKYTCYkJiaib9++GDlyJEaPHh1xbbNQYQhdESlqGQwGJCcnQ6/XtzhZrrKyEhkZGWH/g8myLCwWC29/EMxmM8xmc1QXO2BZFnV1dbDb7ZDL5SEZAuitGMencudU4LAsC51O5yth2+4y5qWlgHe48tSpwPr1vk2bNm3C5MmTUVdXx+sk2mw2Q6PRQCQSQS6X0wstEcrlcqGqqiqqen/sdjvOnj2L06dP4/Tp0zh16hROnz6NvXv34r777sObb77ZpuONGjUK27dvx+OPP46nn34acXFxcDgckEgkOHToEG6//XYolUoUFxdj4MCBAIBDhw5h/vz5OHv2LDZu3Ijhw4f7KgYfPXoUs2bNwr59+yAQCHzl8OVyORYsWIA5c+Y028ZyOBx+832ojqM9P9RFRUr1mLq6Ol5fJTEajb6JltGKYRgkJiYiKysrZOekc30iE8uyqK+v932uCgsLgzbH76qrrgIAFBcXY8KECUE5RyDEx8cjPj7eN8+JYRikp6dH3LDmaCcSiSAQCCJuyDrLsqioqPBLbrx/lpWVQSqVomvXrr7biBEjoFKpfD0qbXH33Xfj6NGjWLFiBbp06YIZM2b4Lha8+eabOH/+PGbMmIFevXr5en1EIhGsViuqq6tx7tw5v0JUnTp1wowZM5CZmQmz2QyZTIY+ffrg6quvxoABA1psY9GLFIFHkx+qRW0Zy8pnfC1r3ZDNZgvIWjXhxO12Q6/XIzU11bcmSigLPnjXUomkBkK0c7vd0Gg0MJvNSEtLg0KhCPowV2+BhD179vA6+fGKjY1Ffn4+bDYbVCoVCCGQy+V0zlsEkcvl0Gg0EVWldffu3fjHP/6BoqIiX4IzYcIE399zc3Mbfda/+OIL1NbWtvlckydPhlKpxNNPP405c+Zg69atSEpKwtGjR3HkyBFceumluPPOOyGVSn0FoZKTk5GWlgaZTOZrN3l7a5KSkjBjxgzce++9HX8hqA6jyQ/VIqvVGvY/iHwta92Qw+GASCTi5VykYHC73aivr/ddAeOKd10fKvw5nU5oNBrY7XakpaUhPT09pJ+noUOHYu/evSE7XyBIpVLk5eX51s1yu92Qy+W87iGnWkcqlcLpdDa7UHs4Gjp0KCwWS5t6QoqKilBSUtLmcwmFQsybNw8pKSlYt24dNm/eDMAzOmHs2LFYtGgRBg4c6FcJt7CwEFu2bPH73mnu7xS3IuMTQQVNuCc/hBBUVVXxsqx1Q96JjJGOZVloNBqYTCbIZDJOFxR1u91wOp1h/f6mPJ9xrVbrq5QYyiGTDQ0cOBBff/11WDY2JRIJcnNzfdUVVSpVyObcUcGTlpaG+vr6iJlH2p7PVadOnbBly5Z2nS8xMRFz5szB+PHjcf78eaSkpKCgoMBXPIEQ4jcPhyY34SO8vqGpkLNarUhNTeU6jHazWq2Ii4vjfQPXZDJFxcJ03nVUQjEU6WLaWgGI4h+Hw4Hq6mrEx8ejsLCQ0/fUgAEDYLVaceLECfTq1YuzODpCLBYjOzsbLpcLdXV10Ol0yM7O5vWFI6p5CQkJUKvVETN8vT3a2/PjRQhBQUFBk8UjuP4No9ovOj8NVKuF++KmcXFxvB/WxLJsoytIkYJlWV9VG8CzBkVycjLnPxre8r98rfxHtYwQAo1G4+vV5bIH0atv375gGAYHDx7kNI5AEIlEyMnJQXJyMsrKyuiimWGKYRhfRddoVVRUhNLS0kaLh7YW198rVHDQ5IdqltPpDLvhG+EoEtdR8lbaKisrg9Pp5DqcRvR6PS+SMKrtHA4HlEolAM8Ye74Uq0hMTMS0adM4ncMWaAkJCcjPz0dtbS3q6+vb3YCkuJOSkgKdThe1/3cKhQIWiwV1dXVch0LxCG3ZUs3yDhkLR961i8KhcWsymSKmxLV3/oVer0dKSgovhrddiBACnU7H6wIYVGOEENTX18NkMiErK4s3SU9Da9eu5TqEgBOJRCgoKIBKpUJlZSWys7Mjspc6UgkEAsTFxcFsNkdlT3dsbCyysrJQUlISddVUqebR5IdqltVq5XVp6OaYTKawSigipcS1xWJBbW0tkpOTeZn0eJnNZsTFxUXtGPhwZLfbUVNTg4SEBBQUFITmvbVnD3D27N//Vqv//vvZs36LnAIApk0LfkwcYRgGGRkZMJvNUCqVyMrK4v08SupvaWlpqK6ujsrkB/CUoi8vL8cVV1zBdSgUT9Dkh2qWzWYLuyox4VDWuiFvZSi+JgptERMTE9SFJAOlvr4+ota+iGQNe3uys7NDu9jfu+8C77/f9LbiYs+toQhOfrzi4+ORn5+PqqoqxMfHIy0tLSK+uyKdWCyOyEVPW8ub/FCUF79bKRRnCCG+VYvDBSEE1dXVvC9r3ZDJZArLcrKEEOj1etTX1/vuEwqFvH/dbTYbhEIhncsWBryruQNAQUEBXeWcJ0QiEfLz80EIQUVFBdxuN9chUa0gk8mg0Wi4DoMTNPmhLsTvlgrFGZfLBbFYzHUYbaLVaiGVSsNqOEa4VRwjhMBgMKC0tBROpxMpKSlch9QmtLx1eHC5XFAqlUhJSYFMJuPmIsz69QAhrb9FEYZhIJfLIZPJoFQqYbFYuA6JuojY2FjfoqfRhiY/1IXo5U+qSTabDVKplOswWo0QArvdztkCh+1BCAmbJJMQAqPRCI1Gg4SEhLAY3nYhlmXhcDjCKjmORna7HVVVVcjOzubmO8hiAT7+GPjlF8BgAOLjgYEDgalTgQiq5BYIcXFxKCgoQGVlJeLi4rhLVKlWSUtLg1arRXp6OtehhFRBQQE++eQTrsOgeCS8Wi9UyIRb8sMwDLKzs8Pqh9fhcITN+GtvcllQUID09PSwS3yAv8tbU/xlsVhQVVWFvLy80H//OBzAk08CubnAvfcC5855enSqqz335+UBM2YAWm2Lh/nzzz8xa9YsXpZ4DwahUIj8/HwwDIPy8vKo7FkIFwkJCTCZTH5rr0UD2vNDXSj8WjBUSIRb8hOOvFXH+IgQ4rewoUAgQHp6eliXuDUYDGFZvTBamEwmqFQqFBQUhL431GoFxo4FXnkF+Ne/PNXcfvsN+PZbYOdOoLwcWLwY+PJLYOhQoKam2UNpNBq8+eabOHPmTOji5xjDMJDJZEhPT0d5eTldFJWnvIueGgwGrkMJKe9aVQ6Hg+tQKJ6gyQ/VJLfbHRYNXZPJFLY/tBaLhZfFDrzlbPV6fcQsjOdwOCAUCsPiPR2NvMUz8vPzufk/mjHDU73txx+BF18EOnXy356RATzxhCch0umA8eOBZnp2evbsCQA4fvx4kIPmn9jYWOTn56O6upo2NHkqOTkZer2e6zBCKisrC0KhEJWVlVyHQvEETX6oRliWDYvhY96y1uFaBcpb5povLBYLysrKYDQakZubi8zMzLB4H7SGVqtFamoq12FQTdBqtTAajcjPz+dmOOUffwCbNgFvvAEMH97yvt26eXp/Dh4EvvqqyV1kMhkyMzPx559/BjzUcCASiZCbm4vKyko6BI6HvFU5o+n/RigUIicnB0qlkutQKJ6gyQ/VSDjMRSGEoKqqKqzKWjfkdDp5VeigtrYWer0eubm5yMrK4lVS1lGEEFgsFt4OMYxmarUaVqsVubm53CXaa9YAWVnAlCmt23/wYODqqz3JUjMuu+yyqOz58ZJIJMjOzkZFRUXUzS8JB0lJSVHX+5Obm4uqqiquw6B4IvxajVTQhcN8H61Wi9jY2LCt3MW3+T4ZGRnIzs6OqKTHy2w2Iz4+PmJ6sSIBIQR1dXVwuVzcFyr56CNg+nSgLRcj7rvPMxeomcZUz549o7bnx0sqlSI9PR0VFRURM3w2UiQmJsJkMnEdRkjl5OSgurqa6zAonqDJD9UI35Mfu90Oo9EIuVzOdSjtxmVPhNVqhVKphNVq9d0XyYmBTqcLu/WIIp1arQbgGYvP6XvPZgP0eqB797Y9zrt/M4UPLrvsMpw5cyZs5yMGSnx8PJKTk1FZWUkTIB4RCAQQCoVRU5EQALKzs2nyQ/nQ5IdqxG6383rYm9lsRk5OTlg32B0OR8jnKtlsNpSXl6O+vh5ZWVlh22vWFizLwuVyhe28sEhkMBjgcDj4sdaId8hsW4dmefdvpjhDz549wbIsTp061YHgIkNycjJiY2NRW1vLdShUA9FW+CA7O5sOe6N8aPJDNUII4XVikZaWxqv5Mm3FsiwEAkHIXmOHw4GKigqo1WpkZGQgNzc3apIBs9mMhIQErsOg/p/VaoVWq+XPxQuJBMjMBA4fbtvjDh/2JE65uU1uvvTSSwGEQcW3w4eB558HxowB8vOBmBggIQHo2hWYNg3YvTsgp/EufqrRaAJyPKrj4uPjo2roG+35oRqiyQ/lx+Vy0XLAQWa1WkPa60IIQXp6OvLy8njdoxcMer2eru3DE06nEzU1NcjLy+NH4uN1zz3A++8DZnPr9ifEUyRh/HigmaG3KSkpyMvL4/e8n2HDgP79gaeeArZuBSoqPAu9ms3AmTOe1+Saa4C77/bc30EZGRmw2WxR1dvAZwKBAGKxGHa7netQQoImP1RDNPmh/PC10pvL5YqYq4YWiyWoyY/D4fC7ohcTE8PL/9Ngo0Pe+INlWVRUVCAnJ4d/F1dmzgQMBuD111u3/7ffAr//Dsye3eJuPXv25HfPj3fNk5wc4MEHgc8/B/bv96xl9Morf/dqffCBpxeogxiGQU5ODvR6fVT1OPBZNA19owUPqIZo8kP5sdvtvGssEkJQXV3Nq+poHRGsnh+Hw4GqqirU1tZGZNW2tjKZTEhMTOQ6jKhHCEFlZSXS09P5mYQrFMAjjwBPPgls2NDyvr/+6imJPW4cMHJki7vyvuJb9+7AJ58ASiWwciVw663AwIHAFVcADz8MHD3qGf4GeNZBCsAQOIZhkJeX5ytxTnErPj4eFouF6zBCIjs7G3q9nr7vKAA0+aEuwMeeH61WC6lUGjET9FmWDejVb6fTiaqqKtTU1CA1NRX5+fm8rtYXKgaDgQ5544Ha2lokJCTwe+7VCy94yl1PnQrccguwbZtneJvXoUPAjBnAqFGedX42bfq7WEIzrrjiCuTn58Ptdgc5+Hb67jvgn/9stmgD5HJg+fK///355wE5rUAgQF5eHmpqauAIwHA6qv0YhoFEIomKoW8ymQwikYj2/lAAaPJDXYCLKmQtiYSy1g05nc6A9sqwLIuamhqkpKSgoKAgYhLEjvIOeQvnwhiRQKfTAQBSU1O5DeRiBALgnXeAd98FTp/2JDkZGUCPHp7hXwMGAD//DDzzDPDDD56iABcxceJE7Ny5M3TD/AwG4OOPPb1Yw4YBXboAycmeog4ZGcDw4cCLLwJtGT48fPjffz93LmChikQi5ObmorKyEi6XK2DHpdouKSkJBoOB6zCCTiAQICsri1Z8owAAdGwM5SfQvRIdwbIsqqqq+DdBugOsVmuHh+95q8UBni/0/Pz8QIQWUWiVN+45HA7odDoUFhZyHUrrMIynd2f6dM8Qr19+8SQUCQme5OeGGwA+Dyfdvx+4446mt6lUniF7v/4KvPQS8OGHwHXXXfyYDXtmLtLT1VYSiQTZ2dmorKxEQUFBxHzHh5v4+Hio1Wp+lJ4PsoyMDKhUKq7DoHiAx9/kVKjxbRE6p9MJuVweUVfvrVZru4diuVwuqNVqOBwO5Ofn08ZCC4xGI2QyGddhRC1CCKqqqvhT0rotGMZT5eyaa7iOpO3y84Frr/VUccvPB7KzPWsSVVR4hq198QWgVgM33ggcOAD07t3y8X799e+/t3Uh2FaQSqVITEyERqOJmN79cMMwDEQiEe9GfQRDeno6TX4oADT5oRpwu9286fUBIrNKmc1ma/MVNrfb7ZsgLJfLaY/GRRBCeL9Qb6Srq6tDSkpKxDemeOXaaz3FC5rzz38CX30F3Hyzp0fnmWeAzZub359lgWXL/B8fBKmpqVAqlUhISKBzFTmSlJQUFReMaM8P5UXn/FA+tMEYfIQQ35C11tBoNCgvL0dcXBwKCwtp4tMKdrudNqI4ZDKZ4HK5kJKSwnUo0aU1F64mTPi7B2fXrpb3XbHCM5QO8CRMAwZ0KLzmeEtg19TU8G70QbRISEiIivLj6enpqKur4zoMigdo8kP58KHb21vWmmVZTuMIBpfL1eZiB0lJSSgsLERiYmL4DR/iiNFopCWuOeJ2u6FSqZCVlcV1KFRz4uM9f9psze/z66/AE094/p6R4VnUNYjEYjGSkpJQX18f1PNQTRMIBBAIBBFffIIOe6O8aPJD+fCh50er1UIkErWpdyRc2Gy2FnskWJaFWq2GrUGjRCwW06SnjSwWS8SsCRVu6urqkJ6ezqvhs1yqqqrC+++/z59G5YkTnvV7gObn8Pz5p6enx+UCYmKATz8FMjODHlpqaiqMRiN/XqsoEw1r/tBhb5RX5LUwqXbjuucn0spaX6i55Meb9JSVlUEsFnOegIYzt9sNhmEiMnnmO6vVCrfbTYdmNvDnn39i2rRpULY0FyfYLBbgzBnglVc884K86w49+GDjfUtKgNGjAa3WM4xu0yZP2ewQYBgGmZmZqKmpCcn5KH9xcXEwm81chxFUdNgb5UULHlA+bZ2PEkiRWNb6QjabDcnJyb5/sywLrVYLg8GA1NRUKBSKiH3uoUJLXHODEILa2lrk5uZyHQqvdO7cGQBw7tw5dOrUKXQnXr8euOee5rc/+igwZYr/fVVVwMiRnj8ZBli71tMDFEKxsbEQCAQwm82I9w7Po0IiJiYm4hc7pT0/lBe9PErxQl1dHdLS0iKqrPWFLpzzY7VaIRAIoFAokJKSQhOfAKCNJm5otVokJiZG9Oe3PQoKCiASiXD27FmuQ/Ho0wf43/88a/00/L5Rqz0Lu54/7/n3qlXA3XdzEmJGRgbq6upo8YMQ8/aYR+J8Wy/vnB/63qJo8kMB8AwX4qrXhxACqVTq1ysSabxftk6n03dffHw8UlNTadITQHa7nfOiHdHG5XJBr9cjLS2N61B4RyQSQaFQ4Ny5c6E98YQJwB9/eG7793uGr918s2e+z5QpwHff/b2vXu9Z8PSvvzz/XrYMmDMntPE2IBKJkJKSQosfcCA2Njai5/3I5XK4XC4YDAauQ6E4RpMfCoCnUc7VVVuGYSK6LC4hxFfIwGq1ch1OxPKuU0WTydCqq6tDZmYmfd2boVAoUFpaGtqTpqQAl13muQ0cCEya5FngdMMGT+/OTTd5hsZZLMDYscDhw57HPfUU8PjjoY21CSkpKbT4AQcivehBYmIihEIhtFot16FQHKPJDwWA2+QnUhFCoNPpUFpaCqfTCZlMFtG9W1wzm820yluIORwOuFwu+rq3IC8vD5WVlVyH4XHXXcDEiZ4FTOfOBcaNA4qLPdsefBB49llu4/t/tPgBN6RSaURfoPNeaKW9ihQteEAB4Cb5qa+vh0QiicgJ6izLoqyszLdOT319Pa3iFmRmsxmpqalchxFV1Go10tPTuQ6D13Jzc7Ft2zauw/jbTTd5ylebzcCOHZ77RowAZswAjh9v/nESCdC1a2hiBC1+wAWBQABCCAghEduTm5aWRnt+KJr8UB5OpxOxsbEhO5+3rHVBQUHIzhlK3kIG3h8Qh8OBpKQkjqOKbHxYpyqaOJ1OuFyukH5vhKO8vDxUV1f7hmVyrqlk9ZdfgN69W35cYSEQ4uF7mZmZUCqVtBJmCEmlUthstoj9XKemptKeH4oOe6M8Qtnz4y1rnZOTExE/aIQQGAwGlJeX+1WRafjc6LDC4GJZFgKBICLeT+FCrVZH7JpcgZSbmwu3243a2lquQ/HgyxC8VhAKhYiPj4/49Wf4JNLn/dCeHwqgyQ/1/0J5VTJSyloTQmA0GlFWVgabzXbRZI42zIPHarU2uYAsFRxOpxMOh4PO9WmFvLw8AODPvJ/PPvv77zt2AIS07hbqog3/j16pD624uLiITn7o+4kCaPJDNRCKxrnJZILb7Q77if8mkwllZWWwWCzIz89HRkZGs8kjy7I08Qkyq9VKG+IhpNFoaK9PK3kXfq2oqAjuidavB2y2lvdZsQL44QfP3xUK4KqrghtTAIjFYjAM47dMABU8QqEQbrc7YtfCSU1NpT0/FJ3zQyGkX3IMwyArKytk5wsWQgjy8vL8Fi1tjsPhoGvPBJnVaqXFDkLE5XLBbrdHxOc4FORyOSQSSfCTnyVLgEceAW691ZPUdO4MJCQARqNnvZ+NG/+u7CYWe0pgFxUBNTWASORJhu65B5g+HeBZYuu9Wp+Zmcl1KFFBIpHA6XRG5O9WWloaf4agUpyhyQ/lmy8RCuFatcdsNkMsFvt+DBITE1v9WJr8BB9vJpNHAbVaDZlMxnUYYUMgEECpVIamp6y+HnjnHc+tOfHxnkpv27Z5Sl937Qq43cCBA8DTTwOLFgH/+Q/w2GMAT3qs4+PjoVKpIroKGZ94h75F4u9WamoqTpw4wXUYFMdo8kOFZDJ+uP5oWSwWqFQqSCSSdpf0dTgcdD5KELlcrlb1wFEd53K5YLPZ6BX4NgrJ67V9uyeh2bEDOHECqK0FNBpAKgUyMz3V3M6cAU6fBlav9vTyXFjR65VXgBde8Cx0qtUC//1v8ONuBYZhkJSUBIPBEPZDpsNBXFwc1Gp1RC4+7n0fUdGNthgoOJ3OoDbO7XY7NBoNcnJygnaOQLNarVCpVBCJRMjJyelQckjLXAeX1WqN2LKsfFNfXw+ZTBaWFzIiXufOntvMmU1vX7AA+O47z5yfkSOb3ic9HXj5ZSAnxzOEbuBA4JZbghdzG6SkpKCiooImPyEgFovhcDi4DiMokpKSYDQauQ6D4hhNfqigDhnylrX2TvoNByaTCQaDAdnZ2QHpEaNlroPLZrPRYgchQAiB2Wymi5rykdMJfPMNsG+fZ0hbUhIwbBgwejQgEHjue+MN4OGHm098Gpo/H/j+e2D5ct4kP0KhECKRiK7nFQIMw/gKH0TacOLExETa80PR5IfyJD/BGjbkLWvN97HDDYflJSQkICEhIaDHp1fKg8dmsyEtLY3rMCKet6IefS/ziMPhGaa2Zg1QXe0pYJCU5BnutmyZpydo3jzP0DeDAZg1q/XHnjPHUzzh6FGgT59gPYM2SUtLQ319PbKzs7kOJeLFxMTAbrdH3IUl2vNDAbTUNYXg9fyEQ1lru92O8vJyWvc/jLEsG3FXJ/lIp9Px+rMcdcxm4PrrgWefBW66CTh2DDh/3pOsKJXA3r3AFVcADz3k2WfoUE9Ft9a68UZPtbiffgrSE2i72NhY2O12sCzLdSgRz5v8RBo654cCaM8PheBMGHe5XFCpVCgoKAjocQPFbrdDpVIBADIyMoI2jMLtdoeskl40oo2g0CCEwG6308IdHWC32yESiQKTqBMCTJrkqdC2bRtw9dX+2xkGGDLEc7vlFuC22zzlrdtCJAJkMkCn63i8AZScnAydTkd7e4NMIpFEZJKQmJgIo9EYtkWYqMCgrTIqKD0/DMMgJyeHd1fkWZZFZWUl6urqIJfLkZeXF9Tx43S+T3A5HA46/j8EzGZz2Jap54O9e/dCKpXi1KlTgTng9u2e4gUffNA48bnQLbcAl13m6RU6ebJt5zGbPaWxeSQ5ORkGgyFiF+HkC4lEEpFFD5KSksCyLCwWC9ehUByiyQ8FQkjAeyeEQiEvG6UMw0AulyM/Pz8kV7Fp8hNcNpuN9kaEgF6vj8iyt6Hi7aXQaDSBOeAbbwA9e3qGu7XGjTd6/nzttdaf48ABQK0GLr+87fEFkUAggFQqhdVq5TqUiCYUCiOyZ927Rl8k9mpRrUeTHyqg+PZl6XQ6UVtb67tKyDBMSJMyl8tFk58gopWfgo9l2Yhd7T1UvAucqtXqjh9Mq/VUdrv//tYvQurdd/16z5C51lizBigsBMaMaXeowZKamgqtVst1GFQYEovFkEqltOhBlKPJDxUwLMtCqVTC7XZzHQqcTieqq6tRXV2NpKQkzsb2Op1OugBnEDkcDtooDzKTyRTw6ofRJjU1FQzDBKbnp7oacLuBvn1b/5i8PM+aPVarZ5HTiykuBjZu9CRNPBu6DHgm4zudTjr0LcgEAgEvfs8DLSEhgSY/UY4mP1TA1NXVITU1ldN5Pi6XC9XV1aiqqkJycjIKCgo4XQAzGMUkqL/RSm/Bp9fraZW3DhIKhUhNTQ1Mz4+3d72tF3SmTfP8ecMNQEtzj37+GRg71lMs4eGH2xViKETqnBQ+idTXOC4ujg6bjHI0+aEC0njkS1lrnU6HpKQkFBYW8mJ9Apr8BA+96ht8hBC43W46dDMA5HJ5YHp+srI8f/71V9seV10NxMV5enIuvRSYMMGzkOmZM55CCB98AFx5pWdh1EGDPEPreDykND4+nk5aDzKa/FCRiiY/VIeTH29Z6yzvj3IIud1uv255uVzOq6pUwSgmQXlE4urjfEPLWweOTCYLTM+PXO5Z3+ett1r/GKcTeO894M47gcOHPQUTzp8Hxo0DunYFevQA7r7bkxxt3gz88INnsVQei4uLg9ls5jqMiBapyU9sbCxNnKMcvSRNdbgBWV1djczMzJA2RN1uNzQaDSwWC7Kzs2kjOArR+T7BZzabedGDGgkC1vMDALNneyq4/fILMGLExff/6COgqgqYNcuzcOnMmcB993l6fGpqPGv6FBR4ChyECbFYDJfLxXUYEU0ikURkYYm4uDia/EQ5mvxQHU4cMjMzQ9YI9SY9ZrMZcrkc6enpdKGyKEWTn+DzXlygOk4mk+F0a4oNtMYNN3jW97n9ds+aP717N7/vjh2epGfSJKBPn7/vZxhPj0+PHoGJiQMikYguJxBEIpEoIgsexMbG0mFvUY6Ox6E6nDyEqgFqNpuhVCohlUqhUCiQmJjI68SHriAdXLSMeHB55/vQOWuBkZCQAJPJFJiDCYXAV18B+fnAVVcBixYBFRX++5w+DcyfD1x3nWefdesCc24eofN+gitSf79ozw9Fkx+qXXNSCCEhX9MnNjYWCoWC09LVbeFyuehwvCCiZcSDi/asBVZAkx8ASEsDdu0Cpk4FVqwAFApg8GBg1CigXz+gWzdgwwbg8cc9hQ0icO4WnfcTfAzD8G79vo6iBQ8omvxQ7Up+amtrA/tDfgGWZaHRaPwmCAsEgrBIerzohPzgosNdgstisfCqeEi4C3jy4zkosGqVZz7P6697qrilpHjWANqwwdMbtHQpEKGfk0idkM8nkfga04IHFL1sSrU5+fGWtU4KQjUglmWh0+mg1+uRmprKeensjqDJT3DRSnrBZTabkZmZyXUYEWPUqFFISUkJzsETEz0Lkt5/f3COz1MMw0AoFNIlBYLIm/xEUtVHOuyNot8WVJsakN6y1gUFBQGNgRACrVYLvV6PlJQUKBSKsOrlaQpNfqhwRudUBdagQYMwaNAgrsOION6GbDAuxlGe5Mdms3EdRkDFxMREXG8W1Tb0sinV6gY6ISSoZa0ZhoFCoUBqamrYJz4ATX6CiS5wGlz0vUuFC3oVP7jEYjGcTifXYQRUJA7lo9qGJj9Uq3t+9Ho9YmJiArLuByEERqPR92+GYSIm6fFiWZYOywoSlmVp4zyIaLEDKlxIpVLY7Xauw4hYQqEw4goe0OSHosPeqFY30BMTEzvcmCeEwGAwoL6+HklJSRFdDppePQ8eWkkvuGjyQ4UL7+9HJP+WcEkgEERc8iMWi2nyE+Vo8kO1+gejI43NhklPYmIiCgsLI75XhPb8BA9NLIPLbrcjISGB6zAoqlW8V/JjYmK4DiXiRGKpa9rzQ9GWWRTzDhW42JdAIMb71tXVweFwoLCwEHK5POKTArvdjpdeeinixkrzhdlsxvLly+lwlyCw2+1YtmwZnVcVBHa7HUuWLKHv2wATCoWwWCz0tQ0ChmEi7n0rkUjob3OUi+wWKNUi7xdZS19oJpMJdXV1bT42IcSv8ZSZmYn09PSIT3q87HY7XnnlFfoFGyQWiwUvvvhixPwY84ndbseKFSvgcrm4DiWi6HQ6/Otf/8IzzzxD37cBJhKJYDab6WsbJA6HI6JeW9rzQ0VHS5RqF29Z66ysrFY/hhACk8mEsrKyiCuP2R7RkuyFWqQNw+AjOn8isJxOJz744AOuw4hIQqEQbreb6zCoMEGTH4rO+aGa1J6y1mazGWq1GlKpFHl5eXTROdAGZLDQ5Cd4aCMyOOiaScEjEonodwLVajT5oehl6Yv44YcfMHLkSKSlpSE+Ph79+vXDqlWr2v1F+9tvv+Gmm25Ceno6YmNjcemll2Lp0qUX7SU5ceIEpkyZguzsbEilUnTu3BmPPvoodDpdu+K4GJ1O1+qy1jabDWVlZTAajcjNzUVmZiZNfP4fTX6CgzZ0goc2CoKDficGj1AopMM0qVbrSLW30tJSvPvuu7jvvvvQp08fiMViCAQCPP/88x2Kyds2zMjIQFxcHHr27Ilnn302YoYa8g1NflqwbNkyjB07Ftu3b0dqaiq6dOmCY8eOYd68ebj55pvb3ADbuHEjrr76anzzzTeIiYlBjx49cPbsWSxatAjXXHNNswu17dixA/3798dHH30Et9uNnj17oqamBsuXL0f//v1RW1sbiKfr43K5YDAYkJ6e3qr9hUIhcnNzkZWVRX/gqZCgyU/w0EZkcNDqhMFDh71RbSEQCNpd0OXVV1/Ffffdh/feew9//PEHWJbt8EXOjRs34pprrsF3330HqVSKSy+9FOfOncOiRYswbNgwOoUgCGjy04zffvsNCxYsgEAgwEcffYRz587h2LFjOHz4MDIzM/HNN9/glVdeafXxSktLMWPGDLjdbrz44osoLy/H4cOHcebMGXTr1g0HDhzAv//970aPMxqNuP3222G1WjFv3jxUVlbi0KFDUCqVGDp0KM6fP48ZM2YE8qlDJBIhPz+/2Q+01Wr163ESi8U06aFCiiY/wUNf2+Cg35HBIxKJaPITRJE2gqEjaxfJ5XKMHz8eS5cuxZYtW3DLLbd0KJaysjLce++9YFkWL730EpRKJQ4ePHjRtiHVMTT5acazzz4LQgjuvfde3HHHHb77L7/8cl/Ss2zZslZX83rppZdgt9sxevRoPPbYY74vk8LCQqxduxYA8PbbbzfqxXnzzTehUqnQo0cPvPLKK75x4zKZDB999BFEIhG+//57HD58uMPPuaGmJupbrVYolUpotVrEx8cH9HwU1Ra0gR489LUNDtrzEzwMw9DS7EEUaYV7OrJ20VNPPYWvv/4aCxYswOjRozu8Hpq3aul1112H+fPn++7Pz8/H2rVrQQjB22+/DZVK1aHzUP4i6x0dIAaDAdu2bQOAJntVJk6ciKSkJGg0GuzYseOixyOE4Msvv2z2eFdeeSW6d+8Op9OJr7/+2m/bF198AQCYNm1aox/PgoICjBw5EgDw+eeft+KZtcxutzf5hWCz2VBeXo76+npkZWUhJyeHTt6lOEUbOsFDX9vgEAgEEXcFnYoOkZb8dKTnJ9C++uorMAyD6dOnN9o2ZMiQZtuGVMdE1js6QI4cOQKHwwGpVIp+/fo12i4WizFw4EAAwL59+y56PKVSierqagDA0KFDm9zHe3/D47lcLhw6dKjNj2sPt9uNqqqqRg0flmVRX1+PzMxM5ObmQiKRdOg8FEXxG18aBZGIDn2jwhFNfoKjtW1DQkiH23iUv8h6RwfImTNnAHh6Vpr7serUqZPfvq05XkxMDHJyclp9vNLSUt+wOu/2jsTRHEIIqqqqfGWtG054FggEyMnJoUkPRUUJPjQKIhVNfqhwRJOf4GjYNszOzm5yn0C08ajGIusdHSBarRYAkJqa2uw+3m3efVtzvJSUlGaHPTR1vIZ/by6WtsTRHL1ej5iYGIhEIlRWVqKmpoYOfaGoKMWHRkGkoslP8NA5VcFDk5/gaNg2bE4g2nhUY/SbuAnesoIt9XbExMQA8BQBCNbxGpY3bO6xbYmjOXq9HqmpqaitrUV6ejqkUmm7j0VRVHjjQ6MgUtHkJ3ho8hM8kTZXjS/JT6DbmlTr0W/iJngb/y0tguVdeCo2NjZox2uYhHjnIHUkjgt5e3fUajUyMzMhlUqhVqtb9diYmBjfh5JqzGAw+P1JBZb3h4C+voFnNpsB0Nc2GLKysqDVaulrGwTehiR9bQPPuwYhH19bu93e5oVA6+vr4XA4QAjhNLELdFuTaj2a/DShNd2MrRkad+HxdDpdsx+2po7X8O9arbbJMaFtieNC3vlEEyZMaPNjqdbJz8/nOoSIRl/f4KGvbfDQ1zZ46GsbPJH22hqNRiQlJXF2/oZtw+Z0pI1HNY8mP0245JJLAHgqcbhcriaHKpw/f95v39Ycz263o6qqCrm5ua06nkKhgFgshtPpxPnz55tMftoSx4UUCgXOnTsHsVjc5qsftOeHoiiKoigutafnB/C0YRITE4MQUes1bBtWV1cHvI1HNY8mP03o27cvxGIxbDYbDh8+jEGDBvltdzqdOHDgAABg8ODBFz1eQUEBsrKyUFNTg+LiYvzzn/9stE9xcXGj44lEIvTr1w/79u1DcXFxk6UQm3pcawkEgmaryFEURVEURVHB4W0b1tbWori4GLfddlujfYqLi8EwTLvaeFTzIquER4AkJSX5Fg997733Gm3/7LPPYDAYIJPJMHz48Isej2EY3Hzzzc0eb+/evTh58iTEYjFuvPFGv2233HILAGD9+vVwu91+25RKpW8x1ltvvfXiT4yiKIqiKIrihZtvvhmEkDa3DamOoclPM5566ikwDIN3330XmzZt8t1/7NgxzJ8/HwDw73//269Kx8qVK6FQKDBp0qRGx3vssccgkUjw008/4aWXXvIVGygrK/Ot7HvvvfciKyvL73H3338/5HI5Tpw4gfnz5/vm6Wg0GkyePBkulwtjxoxB//79A/sCUBRFURRFUR3y6quvoqioCJMnT260rWHb8OWXX/bd720bMgyDf/3rX8jIyAhlyJGPUM169tlnCQACgHTq1In07t2bCAQCAoCMHTuWuFwuv/0XL15MAJBhw4Y1ebz333/f9/jc3FzSt29fIhaLCQDSv39/YjKZmnzctm3biFQqJQBIeno66d+/P4mLiyMAiEKhINXV1YF+6hRFURRFUVQDxcXFRCaTEblcTuRyOZFKpYRhGBIfH++7Ty6Xk4qKCt9jlixZQhiGIddee22Tx9ywYQMRiUSEYRiSl5dH+vXrRyQSCREIBGTQoEHEYrGE6ulFDdrz04KnnnoK3377LUaMGAGNRoOzZ8+iV69eWLlyJb7++us2rytw9913Y/fu3Rg3bhysViv++usvdOrUCUuWLMGePXsQHx/f5OP+8Y9/4ODBg5g0aRIYhsEff/yBzMxMzJ8/H4cPH27UW0RRFEVRFEUFltPphFarRX19va9kNsMwsFqtvvu0Wm2jaQoMwzRbWOquu+7C7t27MX78eNhsNpw4cQKdO3fGM888g927d9My10HAEPL/468oiqIoiqIoiqIiGO35oSiKoiiKoigqKtDkh6IoiqIoiqKoqECTH4qiKIqiKIqiogJNfiiKoiiKoiiKigo0+QkzP/zwA0aOHIm0tDTEx8ejX79+WLVqFViWbdfxfvvtN9x0001IT09HbGwsLr30UixduhQ2m63Fx504cQJTpkxBdnY2pFIpOnfujEcffRQ6na5dcfBBoF7bI0eOYNGiRRg2bBjkcjnEYjEyMjIwZswYfPnll80+bv369b6KMM3dtm7d2tGnyYlAvbZLliy56Gt08uTJZh9P37fNu9jr6r29//77fo+L5Petl0KhaPScpFIpioqKcOedd+LAgQNNPm7atGmtek2nTZvW5sdNmDAh+E88SEpKSvDOO+/gX//6Fy6//HKIRCIwDINnn322Xcej37l/C/RrS79zqUgk4joAqvWWLVuGJ598EgDQqVMnJCQk4NixY5g3bx62bduGL7/8EgJB6/PZjRs3YurUqXC73cjNzUV+fj6OHz+ORYsW4dtvv8XOnTsRFxfX6HE7duzA2LFjYbVakZ6ejp49e+LkyZNYvnw5vvzyS+zduxeZmZkBe96hEKjX9ty5c+jXr5/v30VFRVAoFDh//jy2bt2KrVu3YurUqVi7dm2zx8vIyMAll1zS5LbU1NR2PDtuBfp9CwD5+fkoKChocltT71mAvm8vZujQoc1u02q1+OuvvwAAV1xxRZP7RNr7timXXHKJb7FBvV6Ps2fPYuPGjfj444+xbt063HXXXU0+rqXXBgC6du3a5sddeumlbYyeP1599VW8+uqrATkW/c71F8jXtiH6nUtFFK4XGqJaZ+/evYRhGCIQCMhHH33ku//o0aMkMzOTACAvvfRSq49XUlJCYmJiCADy4osvEpZlCSGElJaWkm7duhEAZM6cOY0eZzAYSHp6OgFA5s2bRxwOByGEELVaTYYOHepbADacBPK1PXPmDMnOziYvvPACqaqq8t3vdrvJqlWrCMMwBABZtWpVo8euW7eOACBTp07t8HPii0C/b70LCS9evLhNcdD3bcc89dRTBAAZNGhQo22R+L69UGFhIQFA1q1b53d/fX09ue222wgAkpiYSOrr6/22T506tV2vTXsfFy6WLl1Kxo0bR/7zn/+QLVu2kFtvvZUAIEuXLm3zseh3rr9AvraE0O9cKjLR5CdM3HDDDQQAue+++xpt27hxIwFAZDKZ7wvmYmbPnk0AkNGjRzfaVlxcTAAQsVhMampq/La9+OKLBADp0aMHcblcftvKysqISCQiAMihQ4fa8Oy4FcjX1mq1ErPZ3Oz2+++/nwAgvXv3brQtEn+IA/2+be8PMX3fth/LskShUERVA/JCzSU/hBCi1+tJfHw8AUA+/vhjv200+Wkd7/NtTwOdfue2rCOvLSH0O5eKTHTOTxgwGAzYtm0bAGDGjBmNtk+cOBFJSUnQaDTYsWPHRY9HCPGNg27qeFdeeSW6d+8Op9OJr7/+2m/bF198AcAzJl0oFPptKygowMiRIwEAn3/+eSueGfcC/dpKpdJmhwAAwOjRowEAp0+fbmfE4SPQr21H0Pdt++3evRulpaUQi8WYNGlSh44ViZKSknzD1kpLS7kNJgrR71x+irTvXCqy0OQnDBw5cgQOhwNSqdRvbLOXWCzGwIEDAQD79u276PGUSiWqq6sBND/O33t/w+O5XC4cOnSozY/js0C/thfjLSQRGxvb7D7Hjh3D5MmTMWLECEyYMAHPPPMMzp071+Fzh1owX9sdO3Zg4sSJGDFiBG677Ta8+OKLqKmpaXJf+r7t2HP68MMPAQDXX3895HJ5s/tFyvu2PSwWC4Dm5z5Q3Imm79xgivbvXCqy0OQnDJw5cwaA52qJSNR0jYpOnTr57dua48XExCAnJ6fVxystLYXT6fTb3pE4+CDQr+3FfPrppwBanlx+9OhRbNq0CTt27MDXX3+NJUuWoFu3bnjuuec6fP5QCuZru2vXLnz++efYsWMHNm/ejMcffxydOnXC+vXrG+1L37ftf052ux2fffYZADQ7md8rUt63bXXmzBlfQ7lPnz7cBkM1Ek3fucEU7d+5VGShyU8Y0Gq1AFquOuPd5t23NcdLSUkBwzCtPl7DvzcXS1vi4INAv7Yt+emnn/DVV18BAB577LFG21NSUvDAAw+guLgYtbW1sNlsOHLkCO666y643W4sXLgQr7/+eodiCKVgvLbZ2dlYsGABDhw4AI1GA4vFguLiYowZMwZWqxXTp0/Ht99+22QcLcVC37dN+/bbb6HT6ZCcnIzx48c3uU+kvW9byzv0cMKECXC5XBg6dCiuvvrqJvd9//33WywV7P1eaMvjqIuLtu/cYKDfuVQkoqWuw4C3214ikTS7T0xMDADAarUG7XgN1/5p7rFtiYMPAv3aNkepVGLKlCkAgNmzZ+Oaa65ptM+ECRMard3Rp08fbNiwATKZDCtXrsTChQsxdepUJCYmtjuWUAnGaztz5sxG91155ZX4/vvvceutt+LLL7/Eww8/jHHjxvkaiPR92/7n5B3yNnHiREil0ib3ibT3bUvuuece3HPPPX73CQQC3H777VizZk2zj7tYqWuZTNaux1HNi8bv3GCg37lUJKI9P//X3t2FNPXGcQD/zjpbjJqiZmKWU6xRQTKkF1qQdLfsxV4oLyKFINhFBdFFdFNhRXlhUXRTjIogkO4MQkjsZjMkqIghBWmxi4Ja84WBbU5//4vY+Tt1r07ndr4fOBDnnOfZ8/x4+O382vGcHBC56AiFQjHPCQaDAOLf1zzf/qZf/MRqm8o4loJMx3Yufr8fdrsdPp8PDQ0N6OjoSLmPa9euwWAwYHR0FL29vWmNY7EtRmwjdDodbt26BeDfez8+ffo0axzxxsJ1O9ufP3/w6tUrAMCpU6fS6iMX1208GzZsgM1mw65du9TbdiJ/XxXvVzi73Q6XyxVzi/WLUbx2FJtWc+5i0lrOpfzC4icHJPPzcDK3wczsb2RkBCKSdH/T/x1rLKmMYynIdGxnCgQC2LdvHwYGBlBfX4+uri71f7xSYTKZsGXLFgDA169fU26fDQsd25k2btyI4uJiANEx4rpNb06dnZ2YmJiA2WzG7t270+ojF9dtPJcvX4bL5YLb7cbg4CBcLhdWrVqFixcvqr+SUXZpOecuNi3lXMovLH5yQOS2B6/Xi3A4POc5Q0NDUecm018wGMSPHz+S7s9sNkNRlKjj8xnHUpDp2E4XDAZx6NAh9Pf3Y/Pmzeju7p7XrROR2Mca51KzkLGNZa4Ycd2mN6fIxfzJkyfn9TcmubZuU2Gz2fDo0SMAwPnz5zE2NpblEWmb1nNuNmgl51J+YfGTA6xWKxRFwd+/f/H+/ftZxycmJvDu3TsAwI4dOxL2t379epSXlwMA3G73nOdE9k/vb/ny5epjdVNpt5RlOrYR4XAYx48fR29vL2pqavD69eu4jwlOZHJyEl++fAEAVFZWpt3PYlqo2Mbi8/nw69cvANEx4rpNfU6Dg4N4+/YtgH/FT7pycd2mqqmpCTt37oTf70/r9irKDObcxaelnEv5hcVPDjCZTOoLwZxO56zjL168wNjYGEpKStDQ0JCwP51Oh8OHD8fsr6+vD58/f4aiKDh48GDUsSNHjgAAnjx5gsnJyahjXq9XffHi0aNHE09sCch0bIF/L5FtbW1FV1cXKioq0NPTE/OR4slyOp0YGRnBsmXLkh5Hti1EbOPp6OiAiKCwsFB9x00E121qnj17BgDYvn07LBZL2uPMxXWbjkuXLgEA7t27h0AgkOXRaA9zbnZoKedSnhHKCS6XS3Q6nRQUFMjz58/V/R8/fpQ1a9YIALl9+3ZUmzt37khVVZWcOHFiVn9DQ0Oi1+sFgLS3t8vU1JSIiHz//l0sFosAEIfDMavd6OiolJaWCgA5d+6chEIhERHx+Xxis9kEgNjt9kxOfcFlOrZnz54VAFJaWioDAwNJjWF0dFSam5ulv78/an84HJaHDx/KihUrBICcOXMmjRlmTyZj6/F4xOFwiMfjido/Pj4uN27ckIKCAgEgN2/enDUOrtt/4q3b6WprawWA3L9/P+55+bpuZ6qqqhIA8vjx4zmPT01NyaZNm9R8GtHS0iIApKWlJaXPS7ddrorMt62tLeY5zLnpmU9smXMpX7H4ySHXr18XAAJAampqZOvWrWryaWxslHA4HHX+lStXBIDs2bNnzv6ePn2qtl+7dq1YrVZRFEUASH19vQQCgTnb9fT0qF8Mq1evlvr6ejEajQJAzGaz/Pz5M9NTX3CZim1fX5/az7p168Rms8XcphseHlbbFRUVidVqlW3btklRUZG63263y/j4+EKHIuMyFdsPHz6o/UTW3fS1B0BOnz6tFvIzcd0mzgki/69hRVHk9+/fcT8/n9ftdImKHxERp9MpAKS8vFydb+TCs6ysLG4uaG1tjeor34sfl8slJSUl6mYwGASAGI3GqP1er1dtw5ybnEzGljmX8hWLnxzz8uVL2bt3rxQWForRaJS6ujq5e/furIsckeQudNxut+zfv1+Ki4vFYDCIxWKRq1evJkz4Ho9HmpubpaysTPR6vVRXV8uFCxfE7/fPd4pZk4nYvnnzRv1SSLRNFwqFpL29XZqamqS2tlZMJpMoiiLl5eXS2NgonZ2dMb9gckEmYjs8PCxtbW1it9ulurpaVq5cKXq9XiorK+XYsWPS3d2dcBxct4lzgsPhEABy4MCBhJ+d7+s2IpniJxgMSkVFhQCQBw8eiMj/RUyira6uLqqvfC9+ks2T3759U9sw5yYnk7FlzqV8pROJ8axjIiIiIiKiPMIHHhARERERkSaw+CEiIiIiIk1g8UNERERERJrA4oeIiIiIiDSBxQ8REREREWkCix8iIiIiItIEFj9ERERERKQJLH6IiIiIiEgTWPwQEREREZEmsPghIiIiIiJNYPFDRERERESawOKHiIiIiIg0gcUPERERERFpwn+4W7Im8umFWAAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Create figure and Taylor Diagram instance\n",
-    "fig = plt.figure(figsize=(8, 8))\n",
+    "fig = plt.figure(figsize=(12, 12))\n",
     "taylor = gv.TaylorDiagram(fig=fig, label='REF')\n",
     "ax = plt.gca()\n",
     "\n",
@@ -2588,6 +453,13 @@
     "                 linewidths=0.5);"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Based on these three RCPs it looks like RCP85 has the closest correlation to our observed climate behavior, but RCP26 has a closer standard deviation to what we experience. Based on your selected data, scientific interpretations may vary."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},