{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# TECxTMS_2F (Total electron content)\n",
"\n",
"> Abstract: Access to the total electric contents (level 2 product)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:41:57.457017Z",
"iopub.status.busy": "2025-06-21T21:41:57.456805Z",
"iopub.status.idle": "2025-06-21T21:41:58.194837Z",
"shell.execute_reply": "2025-06-21T21:41:58.194228Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Python implementation: CPython\n",
"Python version : 3.11.6\n",
"IPython version : 8.18.0\n",
"\n",
"viresclient: 0.12.3\n",
"pandas : 2.1.3\n",
"xarray : 2023.12.0\n",
"matplotlib : 3.8.2\n",
"\n"
]
}
],
"source": [
"%load_ext watermark\n",
"%watermark -i -v -p viresclient,pandas,xarray,matplotlib"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:41:58.197201Z",
"iopub.status.busy": "2025-06-21T21:41:58.196851Z",
"iopub.status.idle": "2025-06-21T21:41:58.992548Z",
"shell.execute_reply": "2025-06-21T21:41:58.992024Z"
}
},
"outputs": [],
"source": [
"from viresclient import SwarmRequest\n",
"import datetime as dt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"request = SwarmRequest()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## TECxTMS_2F product information\n",
"\n",
"Derived total electron content (TEC) \n",
"\n",
"Documentation:\n",
"- https://earth.esa.int/web/guest/missions/esa-eo-missions/swarm/data-handbook/level-2-product-definitions#TECxTMS_2F"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Check what \"TEC\" data variables are available"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:41:58.995088Z",
"iopub.status.busy": "2025-06-21T21:41:58.994666Z",
"iopub.status.idle": "2025-06-21T21:41:59.000673Z",
"shell.execute_reply": "2025-06-21T21:41:59.000174Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'IPD': ['SW_OPER_IPDAIRR_2F', 'SW_OPER_IPDBIRR_2F', 'SW_OPER_IPDCIRR_2F']}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"request.available_collections(\"IPD\", details=False)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:41:59.002675Z",
"iopub.status.busy": "2025-06-21T21:41:59.002271Z",
"iopub.status.idle": "2025-06-21T21:41:59.006405Z",
"shell.execute_reply": "2025-06-21T21:41:59.005863Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['GPS_Position',\n",
" 'LEO_Position',\n",
" 'PRN',\n",
" 'L1',\n",
" 'L2',\n",
" 'P1',\n",
" 'P2',\n",
" 'S1',\n",
" 'S2',\n",
" 'Elevation_Angle',\n",
" 'Absolute_VTEC',\n",
" 'Absolute_STEC',\n",
" 'Relative_STEC',\n",
" 'Relative_STEC_RMS',\n",
" 'DCB',\n",
" 'DCB_Error']"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"request.available_measurements(\"TEC\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Fetch one day of TEC data"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:41:59.008270Z",
"iopub.status.busy": "2025-06-21T21:41:59.007865Z",
"iopub.status.idle": "2025-06-21T21:42:03.272294Z",
"shell.execute_reply": "2025-06-21T21:42:03.271819Z"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c5651d4a24db4eb09d9ad2d182c3ff3c",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Processing: 0%| | [ Elapsed: 00:00, Remaining: ? ] [1/1] "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f01dff41186e408fbf0af95e53810902",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading: 0%| | [ Elapsed: 00:00, Remaining: ? ] (9.311MB)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"request.set_collection(\"SW_OPER_TECATMS_2F\")\n",
"request.set_products(measurements=request.available_measurements(\"TEC\"))\n",
"data = request.get_between(dt.datetime(2014,1,1),\n",
" dt.datetime(2014,1,2))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loading as pandas"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:42:03.274754Z",
"iopub.status.busy": "2025-06-21T21:42:03.274387Z",
"iopub.status.idle": "2025-06-21T21:42:03.748703Z",
"shell.execute_reply": "2025-06-21T21:42:03.748162Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Absolute_STEC</th>\n",
" <th>Latitude</th>\n",
" <th>PRN</th>\n",
" <th>Absolute_VTEC</th>\n",
" <th>L2</th>\n",
" <th>LEO_Position</th>\n",
" <th>P1</th>\n",
" <th>S2</th>\n",
" <th>Relative_STEC</th>\n",
" <th>P2</th>\n",
" <th>Relative_STEC_RMS</th>\n",
" <th>DCB</th>\n",
" <th>L1</th>\n",
" <th>Longitude</th>\n",
" <th>GPS_Position</th>\n",
" <th>Radius</th>\n",
" <th>Spacecraft</th>\n",
" <th>S1</th>\n",
" <th>DCB_Error</th>\n",
" <th>Elevation_Angle</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Timestamp</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <tr>\n",
" <th>2014-01-01 00:00:04</th>\n",
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" <td>15</td>\n",
" <td>10.894886</td>\n",
" <td>-6.261989e+06</td>\n",
" <td>[6668214.552999999, -1677732.678, -177943.998]</td>\n",
" <td>2.182913e+07</td>\n",
" <td>36.83</td>\n",
" <td>24.041127</td>\n",
" <td>2.182914e+07</td>\n",
" <td>0.555675</td>\n",
" <td>-11.446853</td>\n",
" <td>-6.261986e+06</td>\n",
" <td>-14.122572</td>\n",
" <td>[22448765.690377887, 5421379.431197803, -13409...</td>\n",
" <td>6.878338e+06</td>\n",
" <td>A</td>\n",
" <td>36.83</td>\n",
" <td>0.832346</td>\n",
" <td>39.683333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-01-01 00:00:04</th>\n",
" <td>16.456409</td>\n",
" <td>-1.482419</td>\n",
" <td>18</td>\n",
" <td>10.461554</td>\n",
" <td>-1.466568e+07</td>\n",
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" <td>2.135749e+07</td>\n",
" <td>34.75</td>\n",
" <td>22.754795</td>\n",
" <td>2.135749e+07</td>\n",
" <td>0.488000</td>\n",
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" <td>[16113499.491062254, -16306172.004347403, -126...</td>\n",
" <td>6.878338e+06</td>\n",
" <td>A</td>\n",
" <td>34.75</td>\n",
" <td>0.832346</td>\n",
" <td>37.478137</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-01-01 00:00:04</th>\n",
" <td>20.434286</td>\n",
" <td>-1.482419</td>\n",
" <td>22</td>\n",
" <td>9.529846</td>\n",
" <td>-5.455454e+06</td>\n",
" <td>[6668214.552999999, -1677732.678, -177943.998]</td>\n",
" <td>2.277638e+07</td>\n",
" <td>30.90</td>\n",
" <td>15.585271</td>\n",
" <td>2.277638e+07</td>\n",
" <td>1.313984</td>\n",
" <td>-11.446853</td>\n",
" <td>-5.455452e+06</td>\n",
" <td>-14.122572</td>\n",
" <td>[10823457.339250825, -24014739.352816023, -248...</td>\n",
" <td>6.878338e+06</td>\n",
" <td>A</td>\n",
" <td>30.90</td>\n",
" <td>0.832346</td>\n",
" <td>24.681787</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-01-01 00:00:04</th>\n",
" <td>20.085094</td>\n",
" <td>-1.482419</td>\n",
" <td>24</td>\n",
" <td>9.357587</td>\n",
" <td>-3.402821e+06</td>\n",
" <td>[6668214.552999999, -1677732.678, -177943.998]</td>\n",
" <td>2.298846e+07</td>\n",
" <td>29.87</td>\n",
" <td>52.291341</td>\n",
" <td>2.298847e+07</td>\n",
" <td>0.899036</td>\n",
" <td>-11.446853</td>\n",
" <td>-3.402816e+06</td>\n",
" <td>-14.122572</td>\n",
" <td>[20631539.59055339, 13441368.439225309, 100505...</td>\n",
" <td>6.878338e+06</td>\n",
" <td>A</td>\n",
" <td>29.87</td>\n",
" <td>0.832346</td>\n",
" <td>24.647445</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-01-01 00:00:04</th>\n",
" <td>15.676947</td>\n",
" <td>-1.482419</td>\n",
" <td>25</td>\n",
" <td>8.597559</td>\n",
" <td>-2.285986e+06</td>\n",
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" <td>2.229899e+07</td>\n",
" <td>30.88</td>\n",
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" <td>0.832346</td>\n",
" <td>30.753636</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Absolute_STEC Latitude PRN Absolute_VTEC \\\n",
"Timestamp \n",
"2014-01-01 00:00:04 16.429938 -1.482419 15 10.894886 \n",
"2014-01-01 00:00:04 16.456409 -1.482419 18 10.461554 \n",
"2014-01-01 00:00:04 20.434286 -1.482419 22 9.529846 \n",
"2014-01-01 00:00:04 20.085094 -1.482419 24 9.357587 \n",
"2014-01-01 00:00:04 15.676947 -1.482419 25 8.597559 \n",
"\n",
" L2 \\\n",
"Timestamp \n",
"2014-01-01 00:00:04 -6.261989e+06 \n",
"2014-01-01 00:00:04 -1.466568e+07 \n",
"2014-01-01 00:00:04 -5.455454e+06 \n",
"2014-01-01 00:00:04 -3.402821e+06 \n",
"2014-01-01 00:00:04 -2.285986e+06 \n",
"\n",
" LEO_Position \\\n",
"Timestamp \n",
"2014-01-01 00:00:04 [6668214.552999999, -1677732.678, -177943.998] \n",
"2014-01-01 00:00:04 [6668214.552999999, -1677732.678, -177943.998] \n",
"2014-01-01 00:00:04 [6668214.552999999, -1677732.678, -177943.998] \n",
"2014-01-01 00:00:04 [6668214.552999999, -1677732.678, -177943.998] \n",
"2014-01-01 00:00:04 [6668214.552999999, -1677732.678, -177943.998] \n",
"\n",
" P1 S2 Relative_STEC P2 \\\n",
"Timestamp \n",
"2014-01-01 00:00:04 2.182913e+07 36.83 24.041127 2.182914e+07 \n",
"2014-01-01 00:00:04 2.135749e+07 34.75 22.754795 2.135749e+07 \n",
"2014-01-01 00:00:04 2.277638e+07 30.90 15.585271 2.277638e+07 \n",
"2014-01-01 00:00:04 2.298846e+07 29.87 52.291341 2.298847e+07 \n",
"2014-01-01 00:00:04 2.229899e+07 30.88 52.672067 2.229900e+07 \n",
"\n",
" Relative_STEC_RMS DCB L1 Longitude \\\n",
"Timestamp \n",
"2014-01-01 00:00:04 0.555675 -11.446853 -6.261986e+06 -14.122572 \n",
"2014-01-01 00:00:04 0.488000 -11.446853 -1.466568e+07 -14.122572 \n",
"2014-01-01 00:00:04 1.313984 -11.446853 -5.455452e+06 -14.122572 \n",
"2014-01-01 00:00:04 0.899036 -11.446853 -3.402816e+06 -14.122572 \n",
"2014-01-01 00:00:04 0.546729 -11.446853 -2.285981e+06 -14.122572 \n",
"\n",
" GPS_Position \\\n",
"Timestamp \n",
"2014-01-01 00:00:04 [22448765.690377887, 5421379.431197803, -13409... \n",
"2014-01-01 00:00:04 [16113499.491062254, -16306172.004347403, -126... \n",
"2014-01-01 00:00:04 [10823457.339250825, -24014739.352816023, -248... \n",
"2014-01-01 00:00:04 [20631539.59055339, 13441368.439225309, 100505... \n",
"2014-01-01 00:00:04 [16637723.905075422, -10692759.977004562, 1761... \n",
"\n",
" Radius Spacecraft S1 DCB_Error \\\n",
"Timestamp \n",
"2014-01-01 00:00:04 6.878338e+06 A 36.83 0.832346 \n",
"2014-01-01 00:00:04 6.878338e+06 A 34.75 0.832346 \n",
"2014-01-01 00:00:04 6.878338e+06 A 30.90 0.832346 \n",
"2014-01-01 00:00:04 6.878338e+06 A 29.87 0.832346 \n",
"2014-01-01 00:00:04 6.878338e+06 A 30.88 0.832346 \n",
"\n",
" Elevation_Angle \n",
"Timestamp \n",
"2014-01-01 00:00:04 39.683333 \n",
"2014-01-01 00:00:04 37.478137 \n",
"2014-01-01 00:00:04 24.681787 \n",
"2014-01-01 00:00:04 24.647445 \n",
"2014-01-01 00:00:04 30.753636 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = data.as_dataframe()\n",
"df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"NB: The time interval is not always the same:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:42:03.750749Z",
"iopub.status.busy": "2025-06-21T21:42:03.750388Z",
"iopub.status.idle": "2025-06-21T21:42:03.802049Z",
"shell.execute_reply": "2025-06-21T21:42:03.801505Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([datetime.timedelta(0), datetime.timedelta(seconds=10)],\n",
" dtype=object)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"times = df.index\n",
"np.unique(np.sort(np.diff(times.to_pydatetime())))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:42:03.804141Z",
"iopub.status.busy": "2025-06-21T21:42:03.803788Z",
"iopub.status.idle": "2025-06-21T21:42:03.807832Z",
"shell.execute_reply": "2025-06-21T21:42:03.807419Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(49738, 86400)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(df), 60*60*24"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Loading and plotting as xarray"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:42:03.809587Z",
"iopub.status.busy": "2025-06-21T21:42:03.809422Z",
"iopub.status.idle": "2025-06-21T21:42:03.884673Z",
"shell.execute_reply": "2025-06-21T21:42:03.884139Z"
}
},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: (Timestamp: 49738, WGS84: 3)\n",
"Coordinates:\n",
" * Timestamp (Timestamp) datetime64[ns] 2014-01-01T00:00:04 ... 201...\n",
" * WGS84 (WGS84) <U1 'X' 'Y' 'Z'\n",
"Data variables: (12/20)\n",
" Spacecraft (Timestamp) object 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'\n",
" Absolute_STEC (Timestamp) float64 16.43 16.46 20.43 ... 10.77 10.78\n",
" Latitude (Timestamp) float64 -1.482 -1.482 -1.482 ... -81.7 -81.7\n",
" PRN (Timestamp) uint16 15 18 22 24 25 29 ... 7 15 16 18 21 26\n",
" Absolute_VTEC (Timestamp) float64 10.89 10.46 9.53 ... 8.365 7.912\n",
" L2 (Timestamp) float64 -6.262e+06 -1.467e+07 ... -3.41e+06\n",
" ... ...\n",
" Longitude (Timestamp) float64 -14.12 -14.12 -14.12 ... 1.559 1.559\n",
" GPS_Position (Timestamp, WGS84) float64 2.245e+07 ... -2.111e+07\n",
" Radius (Timestamp) float64 6.878e+06 6.878e+06 ... 6.88e+06\n",
" S1 (Timestamp) float64 36.83 34.75 30.9 ... 23.03 37.73 37.5\n",
" DCB_Error (Timestamp) float64 0.8323 0.8323 ... 0.8323 0.8323\n",
" Elevation_Angle (Timestamp) float64 39.68 37.48 24.68 ... 49.64 45.71\n",
"Attributes:\n",
" Sources: ['SW_OPER_TECATMS_2F_20140101T000000_20140101T235959_0401']\n",
" MagneticModels: []\n",
" AppliedFilters: []</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-82168dfb-5983-4988-98b7-835ad6207b88' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82168dfb-5983-4988-98b7-835ad6207b88' 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'>Timestamp</span>: 49738</li><li><span class='xr-has-index'>WGS84</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2a6b4f78-8c57-4ec5-9deb-aedb1c901740' class='xr-section-summary-in' type='checkbox' checked><label for='section-2a6b4f78-8c57-4ec5-9deb-aedb1c901740' 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'>Timestamp</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-01-01T00:00:04 ... 2014-01-...</div><input id='attrs-02fab51a-5934-4bc6-ab31-c2d765100eae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02fab51a-5934-4bc6-ab31-c2d765100eae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0ed024a-6bde-45ab-9c16-e1aff40367f7' class='xr-var-data-in' type='checkbox'><label for='data-a0ed024a-6bde-45ab-9c16-e1aff40367f7' 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>description :</span></dt><dd>Time stamp in UTC</dd></dl></div><div class='xr-var-data'><pre>array(['2014-01-01T00:00:04.000000000', '2014-01-01T00:00:04.000000000',\n",
" '2014-01-01T00:00:04.000000000', ..., '2014-01-01T23:59:54.000000000',\n",
" '2014-01-01T23:59:54.000000000', '2014-01-01T23:59:54.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>WGS84</span></div><div class='xr-var-dims'>(WGS84)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'X' 'Y' 'Z'</div><input id='attrs-01cc18ba-945c-4488-b8d8-d2ec0212ea02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01cc18ba-945c-4488-b8d8-d2ec0212ea02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38de762c-7725-4179-bf51-e9cf9ffec364' class='xr-var-data-in' type='checkbox'><label for='data-38de762c-7725-4179-bf51-e9cf9ffec364' 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></dd><dt><span>description :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array(['X', 'Y', 'Z'], dtype='<U1')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac8bda3d-6d2e-448f-b726-cf773db350ac' class='xr-section-summary-in' type='checkbox' ><label for='section-ac8bda3d-6d2e-448f-b726-cf773db350ac' class='xr-section-summary' >Data variables: <span>(20)</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>Spacecraft</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'</div><input id='attrs-bc1aa750-160b-4810-b184-2838eb497ed0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc1aa750-160b-4810-b184-2838eb497ed0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f331a8fe-edd6-405d-bbcf-1ff5703ceb25' class='xr-var-data-in' type='checkbox'><label for='data-f331a8fe-edd6-405d-bbcf-1ff5703ceb25' 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>-</dd><dt><span>description :</span></dt><dd>Spacecraft identifier (values: 'A', 'B', 'C' or '-' if not available).</dd></dl></div><div class='xr-var-data'><pre>array(['A', 'A', 'A', ..., 'A', 'A', 'A'], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Absolute_STEC</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.43 16.46 20.43 ... 10.77 10.78</div><input id='attrs-ee964867-ce52-4708-8e50-dbebf36efd2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee964867-ce52-4708-8e50-dbebf36efd2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4caedfbc-c603-4301-9610-fb10589a08a9' class='xr-var-data-in' type='checkbox'><label for='data-4caedfbc-c603-4301-9610-fb10589a08a9' 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>TECU</dd><dt><span>description :</span></dt><dd>Absolute slant TEC</dd></dl></div><div class='xr-var-data'><pre>array([16.42993842, 16.45640896, 20.43428564, ..., 15.04078951,\n",
" 10.76856032, 10.7787789 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.482 -1.482 ... -81.7 -81.7</div><input id='attrs-44474d53-1fbe-4859-8bc9-06cb72886ed3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44474d53-1fbe-4859-8bc9-06cb72886ed3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b04cde5-36b2-44bf-aedb-1878d98fe996' class='xr-var-data-in' type='checkbox'><label for='data-6b04cde5-36b2-44bf-aedb-1878d98fe996' 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>degree</dd><dt><span>description :</span></dt><dd>Geographic latitude</dd></dl></div><div class='xr-var-data'><pre>array([ -1.48241877, -1.48241877, -1.48241877, ..., -81.69798193,\n",
" -81.69798193, -81.69798193])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRN</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>15 18 22 24 25 ... 15 16 18 21 26</div><input id='attrs-b116e6f1-fc1b-4382-b346-2ead66949027' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b116e6f1-fc1b-4382-b346-2ead66949027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dcc39d9-443d-418d-8f3e-cb2db9776c4f' class='xr-var-data-in' type='checkbox'><label for='data-9dcc39d9-443d-418d-8f3e-cb2db9776c4f' 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>-</dd><dt><span>description :</span></dt><dd>GPS satellite PRN</dd></dl></div><div class='xr-var-data'><pre>array([15, 18, 22, ..., 18, 21, 26], dtype=uint16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Absolute_VTEC</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.89 10.46 9.53 ... 8.365 7.912</div><input id='attrs-4e5baee0-9920-4a97-937f-24151926f147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e5baee0-9920-4a97-937f-24151926f147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1681a977-2257-45f0-b1cc-4dc26217851e' class='xr-var-data-in' type='checkbox'><label for='data-1681a977-2257-45f0-b1cc-4dc26217851e' 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>TECU</dd><dt><span>description :</span></dt><dd>Absolute vertical TEC</dd></dl></div><div class='xr-var-data'><pre>array([10.89488628, 10.46155356, 9.52984558, ..., 6.4390055 ,\n",
" 8.36484899, 7.91239674])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L2</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.262e+06 -1.467e+07 ... -3.41e+06</div><input id='attrs-f2b161e0-6813-4a87-8ab8-59619c5d899e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2b161e0-6813-4a87-8ab8-59619c5d899e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-844eab06-db9e-4bbb-9366-5faed233d6f9' class='xr-var-data-in' type='checkbox'><label for='data-844eab06-db9e-4bbb-9366-5faed233d6f9' 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>description :</span></dt><dd>GPS L2 carrier phase observation</dd></dl></div><div class='xr-var-data'><pre>array([ -6261988.84861192, -14665684.95888977, -5455453.62361699, ...,\n",
" -2412606.97951387, -2181780.66116872, -3409544.29364486])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LEO_Position</span></div><div class='xr-var-dims'>(Timestamp, WGS84)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.668e+06 -1.678e+06 ... -6.808e+06</div><input id='attrs-94ad63b2-1247-44a7-8a47-487d96a0cc10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94ad63b2-1247-44a7-8a47-487d96a0cc10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa70a3fd-6214-4a99-a7bf-3d374597ad4c' class='xr-var-data-in' type='checkbox'><label for='data-aa70a3fd-6214-4a99-a7bf-3d374597ad4c' 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>description :</span></dt><dd>X-,Y-,Z-coordinates (WGS84) of the LEO satellite</dd></dl></div><div class='xr-var-data'><pre>array([[ 6668214.553, -1677732.678, -177943.998],\n",
" [ 6668214.553, -1677732.678, -177943.998],\n",
" [ 6668214.553, -1677732.678, -177943.998],\n",
" ...,\n",
" [ 993010.408, 27023.255, -6807680.312],\n",
" [ 993010.408, 27023.255, -6807680.312],\n",
" [ 993010.408, 27023.255, -6807680.312]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P1</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.183e+07 2.136e+07 ... 2.171e+07</div><input id='attrs-03b8a7a8-e96e-4306-a754-ba036d7b90f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03b8a7a8-e96e-4306-a754-ba036d7b90f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d940c616-58fa-4e59-8af1-07c82d630d01' class='xr-var-data-in' type='checkbox'><label for='data-d940c616-58fa-4e59-8af1-07c82d630d01' 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>description :</span></dt><dd>GPS P1 code phase observation</dd></dl></div><div class='xr-var-data'><pre>array([21829134.2291129 , 21357488.2597339 , 22776381.83959784, ...,\n",
" 22758693.83510586, 20603857.70801323, 21709693.35444565])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>S2</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.83 34.75 30.9 ... 37.73 37.5</div><input id='attrs-c886e926-ef3a-4f42-a4ad-3262d17a0e01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c886e926-ef3a-4f42-a4ad-3262d17a0e01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e823660a-6d39-4a89-be71-72275a6b1da8' class='xr-var-data-in' type='checkbox'><label for='data-e823660a-6d39-4a89-be71-72275a6b1da8' 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>-</dd><dt><span>description :</span></dt><dd>GPS signal-to-noise ratio or raw signal strength on L2</dd></dl></div><div class='xr-var-data'><pre>array([36.83, 34.75, 30.9 , ..., 23.03, 37.73, 37.5 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Relative_STEC</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.04 22.75 15.59 ... 16.92 26.51</div><input id='attrs-ab547198-0eea-4757-9c8d-10607b473b27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab547198-0eea-4757-9c8d-10607b473b27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb1e5b71-b557-4b18-bf57-80460f86f6e4' class='xr-var-data-in' type='checkbox'><label for='data-cb1e5b71-b557-4b18-bf57-80460f86f6e4' 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>TECU</dd><dt><span>description :</span></dt><dd>Relative slant TEC</dd></dl></div><div class='xr-var-data'><pre>array([24.04112684, 22.75479544, 15.5852713 , ..., 21.33917599,\n",
" 16.92425093, 26.51221585])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P2</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.183e+07 2.136e+07 ... 2.171e+07</div><input id='attrs-5a2f4b4b-dd35-470a-8c98-faca70f52a87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a2f4b4b-dd35-470a-8c98-faca70f52a87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aff08321-eb86-48f2-9d99-6c51e925cfdb' class='xr-var-data-in' type='checkbox'><label for='data-aff08321-eb86-48f2-9d99-6c51e925cfdb' 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>description :</span></dt><dd>GPS P2 code phase observation</dd></dl></div><div class='xr-var-data'><pre>array([21829136.64816922, 21357490.77084316, 22776383.39149728, ...,\n",
" 22758695.72573735, 20603859.47857912, 21709696.16704626])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Relative_STEC_RMS</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5557 0.488 1.314 ... 0.6458 3.041</div><input id='attrs-d4a5b597-86ff-424d-a7a3-b60b76b28ec1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4a5b597-86ff-424d-a7a3-b60b76b28ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f693cbf-e592-43ed-9f03-0cd48c862880' class='xr-var-data-in' type='checkbox'><label for='data-4f693cbf-e592-43ed-9f03-0cd48c862880' 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>TECU</dd><dt><span>description :</span></dt><dd>Root mean square error of relative slant TEC</dd></dl></div><div class='xr-var-data'><pre>array([0.55567535, 0.48799986, 1.31398367, ..., 2.36515552, 0.64584663,\n",
" 3.04059419])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DCB</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-11.45 -11.45 ... -11.45 -11.45</div><input id='attrs-430064a4-2ba0-4660-9606-416325d06805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-430064a4-2ba0-4660-9606-416325d06805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2bb7434-6eeb-48fb-b0a1-670904b59ad9' class='xr-var-data-in' type='checkbox'><label for='data-e2bb7434-6eeb-48fb-b0a1-670904b59ad9' 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>TECU</dd><dt><span>description :</span></dt><dd>GPS receiver differential code bias</dd></dl></div><div class='xr-var-data'><pre>array([-11.44685322, -11.44685322, -11.44685322, ..., -11.44685322,\n",
" -11.44685322, -11.44685322])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L1</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.262e+06 -1.467e+07 ... -3.41e+06</div><input id='attrs-5fff98c4-5336-40ae-8319-3801296d707d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fff98c4-5336-40ae-8319-3801296d707d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c8f0775-4805-49cf-9eb5-d2c8b809f0b2' class='xr-var-data-in' type='checkbox'><label for='data-5c8f0775-4805-49cf-9eb5-d2c8b809f0b2' 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>description :</span></dt><dd>GPS L1 carrier phase observation</dd></dl></div><div class='xr-var-data'><pre>array([ -6261986.32318884, -14665682.56859061, -5455451.98644732, ...,\n",
" -2412604.73791979, -2181778.88334466, -3409541.50864388])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-14.12 -14.12 ... 1.559 1.559</div><input id='attrs-1bb5f1c9-99ed-4440-9e9f-4bb92735e70d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bb5f1c9-99ed-4440-9e9f-4bb92735e70d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00e46a6b-9644-4e38-b40b-0046d54c5d39' class='xr-var-data-in' type='checkbox'><label for='data-00e46a6b-9644-4e38-b40b-0046d54c5d39' 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>degree</dd><dt><span>description :</span></dt><dd>Geographic longitude</dd></dl></div><div class='xr-var-data'><pre>array([-14.12257161, -14.12257161, -14.12257161, ..., 1.55883202,\n",
" 1.55883202, 1.55883202])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GPS_Position</span></div><div class='xr-var-dims'>(Timestamp, WGS84)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.245e+07 5.421e+06 ... -2.111e+07</div><input id='attrs-9a3ba30f-be20-4695-9de5-a73f340a9f66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a3ba30f-be20-4695-9de5-a73f340a9f66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ae79731-34e3-4585-bd06-b85371cd1a71' class='xr-var-data-in' type='checkbox'><label for='data-2ae79731-34e3-4585-bd06-b85371cd1a71' 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>km</dd><dt><span>description :</span></dt><dd>X-,Y-,Z-coordinates (WGS84) of the GPS satellite</dd></dl></div><div class='xr-var-data'><pre>array([[ 22448765.69037789, 5421379.4311978 , -13409005.03373806],\n",
" [ 16113499.49106225, -16306172.0043474 , -12696105.82349821],\n",
" [ 10823457.33925083, -24014739.35281602, -2489805.34342444],\n",
" ...,\n",
" [ 16054288.68371381, -15887374.66491947, -13277728.87342025],\n",
" [ 14701446.22848775, -6425961.18406759, -20621358.53418011],\n",
" [ 10582217.79725513, 13354402.4890859 , -21105215.93033323]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Radius</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.878e+06 6.878e+06 ... 6.88e+06</div><input id='attrs-e9b88cb4-c6b5-405f-9208-9ded9ed59e03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9b88cb4-c6b5-405f-9208-9ded9ed59e03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e236ff13-66df-46bd-b0a9-2f1c9027b97a' class='xr-var-data-in' type='checkbox'><label for='data-e236ff13-66df-46bd-b0a9-2f1c9027b97a' 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>km</dd><dt><span>description :</span></dt><dd>Geographic radius</dd></dl></div><div class='xr-var-data'><pre>array([6878338.19538515, 6878338.19538515, 6878338.19538515, ...,\n",
" 6879775.51647578, 6879775.51647578, 6879775.51647578])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>S1</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.83 34.75 30.9 ... 37.73 37.5</div><input id='attrs-817b8978-246a-42ed-ab1d-e75629a84c64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-817b8978-246a-42ed-ab1d-e75629a84c64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cebf42b-1045-4d69-b3ed-13dfe99e8f17' class='xr-var-data-in' type='checkbox'><label for='data-9cebf42b-1045-4d69-b3ed-13dfe99e8f17' 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>-</dd><dt><span>description :</span></dt><dd>GPS signal-to-noise ratio or raw signal strength on L1</dd></dl></div><div class='xr-var-data'><pre>array([36.83, 34.75, 30.9 , ..., 23.03, 37.73, 37.5 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DCB_Error</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8323 0.8323 ... 0.8323 0.8323</div><input id='attrs-0d2fd892-8c73-4767-b79a-41f598321374' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d2fd892-8c73-4767-b79a-41f598321374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72f1b441-d442-4ee0-8dda-0679fcc25ab6' class='xr-var-data-in' type='checkbox'><label for='data-72f1b441-d442-4ee0-8dda-0679fcc25ab6' 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>TECU</dd><dt><span>description :</span></dt><dd>Error of the GPS receiver differential code bias</dd></dl></div><div class='xr-var-data'><pre>array([0.8323464, 0.8323464, 0.8323464, ..., 0.8323464, 0.8323464,\n",
" 0.8323464])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Elevation_Angle</span></div><div class='xr-var-dims'>(Timestamp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>39.68 37.48 24.68 ... 49.64 45.71</div><input id='attrs-c172013c-cd65-4f0a-b0f0-437b54d2b483' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c172013c-cd65-4f0a-b0f0-437b54d2b483' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72a3fd4d-2419-4c24-a220-6530e6ddd7a9' class='xr-var-data-in' type='checkbox'><label for='data-72a3fd4d-2419-4c24-a220-6530e6ddd7a9' 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>degree</dd><dt><span>description :</span></dt><dd>Elevation Angle</dd></dl></div><div class='xr-var-data'><pre>array([39.68333303, 37.47813725, 24.68178657, ..., 21.87866375,\n",
" 49.63566339, 45.70959615])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-253ffb98-022a-447b-988f-d7231c55597a' class='xr-section-summary-in' type='checkbox' ><label for='section-253ffb98-022a-447b-988f-d7231c55597a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Timestamp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-91604dbf-ed8d-416e-9913-67ed115fd36c' class='xr-index-data-in' type='checkbox'/><label for='index-91604dbf-ed8d-416e-9913-67ed115fd36c' 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(['2014-01-01 00:00:04', '2014-01-01 00:00:04',\n",
" '2014-01-01 00:00:04', '2014-01-01 00:00:04',\n",
" '2014-01-01 00:00:04', '2014-01-01 00:00:04',\n",
" '2014-01-01 00:00:14', '2014-01-01 00:00:14',\n",
" '2014-01-01 00:00:14', '2014-01-01 00:00:14',\n",
" ...\n",
" '2014-01-01 23:59:44', '2014-01-01 23:59:44',\n",
" '2014-01-01 23:59:54', '2014-01-01 23:59:54',\n",
" '2014-01-01 23:59:54', '2014-01-01 23:59:54',\n",
" '2014-01-01 23:59:54', '2014-01-01 23:59:54',\n",
" '2014-01-01 23:59:54', '2014-01-01 23:59:54'],\n",
" dtype='datetime64[ns]', name='Timestamp', length=49738, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>WGS84</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ee4dad9-bd82-4af9-8487-d71c1a072c86' class='xr-index-data-in' type='checkbox'/><label for='index-4ee4dad9-bd82-4af9-8487-d71c1a072c86' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index(['X', 'Y', 'Z'], dtype='object', name='WGS84'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b4fdf71-55a7-4f9c-ad61-a8403bddf7fe' class='xr-section-summary-in' type='checkbox' checked><label for='section-2b4fdf71-55a7-4f9c-ad61-a8403bddf7fe' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Sources :</span></dt><dd>['SW_OPER_TECATMS_2F_20140101T000000_20140101T235959_0401']</dd><dt><span>MagneticModels :</span></dt><dd>[]</dd><dt><span>AppliedFilters :</span></dt><dd>[]</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (Timestamp: 49738, WGS84: 3)\n",
"Coordinates:\n",
" * Timestamp (Timestamp) datetime64[ns] 2014-01-01T00:00:04 ... 201...\n",
" * WGS84 (WGS84) <U1 'X' 'Y' 'Z'\n",
"Data variables: (12/20)\n",
" Spacecraft (Timestamp) object 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'\n",
" Absolute_STEC (Timestamp) float64 16.43 16.46 20.43 ... 10.77 10.78\n",
" Latitude (Timestamp) float64 -1.482 -1.482 -1.482 ... -81.7 -81.7\n",
" PRN (Timestamp) uint16 15 18 22 24 25 29 ... 7 15 16 18 21 26\n",
" Absolute_VTEC (Timestamp) float64 10.89 10.46 9.53 ... 8.365 7.912\n",
" L2 (Timestamp) float64 -6.262e+06 -1.467e+07 ... -3.41e+06\n",
" ... ...\n",
" Longitude (Timestamp) float64 -14.12 -14.12 -14.12 ... 1.559 1.559\n",
" GPS_Position (Timestamp, WGS84) float64 2.245e+07 ... -2.111e+07\n",
" Radius (Timestamp) float64 6.878e+06 6.878e+06 ... 6.88e+06\n",
" S1 (Timestamp) float64 36.83 34.75 30.9 ... 23.03 37.73 37.5\n",
" DCB_Error (Timestamp) float64 0.8323 0.8323 ... 0.8323 0.8323\n",
" Elevation_Angle (Timestamp) float64 39.68 37.48 24.68 ... 49.64 45.71\n",
"Attributes:\n",
" Sources: ['SW_OPER_TECATMS_2F_20140101T000000_20140101T235959_0401']\n",
" MagneticModels: []\n",
" AppliedFilters: []"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds = data.as_xarray()\n",
"ds"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"execution": {
"iopub.execute_input": "2025-06-21T21:42:03.886679Z",
"iopub.status.busy": "2025-06-21T21:42:03.886374Z",
"iopub.status.idle": "2025-06-21T21:42:04.746433Z",
"shell.execute_reply": "2025-06-21T21:42:04.745871Z"
}
},
"outputs": [
{
"data": {
"image/png": 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qByfNutS9URWjQyDSDadnEnnAHoklI/5i+cFEo0MwlaR050t1t57mgRkRKWfhxBmXvK3Hptbe6VHf4bZkTnojGTl5+X47hdfeZRfHbkTk2xQlzdLT05GWlub0i8gf+VOvA6XkKs388QRvzZFLRodARD5qGxPuLv1v0QGjQzDUk21rOdx29lqGAZGQ2a06nIgGo5ej3qhlOHeVfyM/bo41OgQiMpCipFnDhg1RsWJFya8KFSqgYkVOEiH/xCWIyp1M8r8lq6//stvoEIjIBw39fR8GzNoheR/7JN62JMa/p5rVvqOMw20bT1w2IBJz8/eKRAB406qVxH2frjcwEnPw5zYrcnLtPls612fvRFHpmRy24G0UjRFauHAhKlWqpFcs5IVy8vLx0JebsHLofQj0o7H29r5ae9LoELyOHxaakYDvok8jMCAAb9xXz+hQiLzCoj3n8beTZFBevgVsaUVyvos+jXceaGB0GKZyPSvXr/vA+eNKAFf4K3GUk2f7S6lUtqRBkZjbb2/ci+dmbre5zf53R+anKGnWuXNnVKnCJn9UIP5aBrpOKbj6dNeoZYiLDDc4IuOw+TCR+05eSkfk8mMAgM71K6Np9WCDIyIyv/f/3O/0fp7skTMZ2ayqsrfl1BU81qqG0WEYZvkh9qIl167eEOvzlp6Zg/KlSugcjXl1vMuxAi8rl++73oaDAEi1woRZoVWH+SFL4s6YuNQ9K4fLmYzw39/2FX3f96tNBkZC3iIsIgphEVE4epE9VeXc9JOlZqyOKRB75YbRIXg9f78QOuTXvQ63cZk32dt3LsXm55KB0mkF9n12tOE4l8V7G+GkWZ06dRAY6L+lyuSadf8DIle2nL5idAiytukwWvwaJ5S5dCwx3egQyItYH4g/9CWTrHLmbI0zOgSPcDWZuJCvX+F/k70z3ebvve+kbD5p3mM2MkbqTdu+XBXKSC/PLObH7Xvk5PMij9cRTprFxsbijjvY4I+IxC0/eNHoEEzjx81njA6ByKc8Mn2z0SEYzv6kRYq/JOx/3XFOaLtDCb5dleiPQ3ZIO2ERUZK3/5+LZeDkf2ZuEjuuDQzwn6SZXFVdt4Z32vwcY1elR+YnlDRr06YNkpOThXfapUsXJCQkqA6KiHzDfyRK/P3V1+tPGx0CkU85wiWZ+GOX60RRnp9c0RYdyLM0xr+PTxuHljc6BENwiZhrCSk3Ze+76ifJdxJ39mqG7H1Vg4OKvvejnBmyc6WXMX/xTCubn//2888hbyQ0CCAmJgb79+8XnpwZExODrCyxMnki8k8JyfIHZ0RAQY+iAH862iK3ZObk+d3Eu0nLjrnchr2+bM3ZdhYfPdbc6DAMM6l/C/T/ZqvRYXhcTHyK0SGYXufIdUaHQD7Curos7kqG3wx2kuspaT9ZlDl87yM8PfOBBx4QPvDiSY7vu5GVa3QIZHIvzNrh9P71bIJJLvy+Kx7PdahtdBimcTM7D6VL+ldSSIrc8qFLaZmoc0dZD0djftezfLuHFyC2TNVfPdaqus3PLWtWMCYQg6Xxb4R05I8XbZzJtcoKHb+U5jdJs7irtkmzksU5HMFXCC3PjI2NxZkzZxAbGyv0debMGdSpU8flfidPnoz27dujfPnyqFKlCvr164fjx4/bbGOxWDBu3DhUr14dpUuXRvfu3XH48GF1/7ekGV6xuy3+mnx5sj/bfIpNY8k9I/86iJkb2QsOKEgUNRm7QjZh5C/OXpWfDBh9gol4Kf/s9/2m5i0/WmV0CKbVLsx2lUignzbl/m2nWM87IjU4tdaWdaP7Yn5UTPPrjrM2Pw/pfpdBkZDWhCrNRBJgakRHR+Ott95C+/btkZubi9GjR6N37944cuQIypYtuFo8ZcoUTJ06FbNnz0bDhg0xYcIE9OrVC8ePH0f58v7Zl8EMotjgvcies+L9/si8uITJnCYuO4o37qtndBiG4kWK27p9ukH2vtlb4/BSxzCPxULkDVrXquBym4zsXJQpKbz4xCuduswBCUSeUiLwdl1O8WLCcwe93q5Y23PCzvUrGxQJac3Qv+IVK1Zg4MCBaNasGVq2bImff/4Z586dw549ewAUnMROmzYNo0ePRv/+/dG8eXPMmTMHGRkZmD9/vpGh+735glOq/MFSiav4Tav5RxmynMwc71sOxEppMqP8fAv6fb3F5rbtZ64aFI25nbnMK/1E9mpVKuNymxOXfD+hpPT9Qa6htz/j76TASx31KSbxJYOsLnbm+9FF6ew829dIEz8/H/Qlpkr9pqamAkDRwIHY2FgkJiaid+/eRdsEBQWhW7du2LpVuolpVlYW0tLSbL6I9LTuWJLDbf7ed+jbDd43KTI3nweDSly5noWwiCh8uUZsYh0pFxYRhXqjljnc/uwP2w2Ihoi8UUjpEi632eilS5uPJabptvz4eGK6Lvv1Zv66ssI+WVgy0PH0+WBCqqfC8QrlS91+3/ldYMqzryoX5NsVvP7ENEkzi8WCYcOGoUuXLmjevGCqUWJiIgCgatWqNttWrVq16D57kydPRkhISNFXrVq19A2cSEIZP0+afblWOpHSokaIhyMRZ58z80TvqHcfaIC4yHAcn9BH9+fSWrsJawAAX6w5ocn+vLE6UU/+3rtMSlJaptEhmEpKRrbRIZhCvkyZ8CudwzwbiAmcT1bXY3XG+lMaR+IZfaZtwn9/24fNJ7XvoTplpevJtL7k2g3X7yfTNPq89zb7z6fY/FyulGMiZE+cfyYU5Vi/Kyck3zQsDiKtmCZp9vbbb+PAgQP47bffHO6zn8ZpsVhkJ3SOHDkSqampRV/x8fG6xEvSDth9sPgrTtCRdndN8ybNpCrNcvO0qT47LdNLJfzuagCAoOLe/ffy6IzNbu/jcnqW7H3pmZx6RkCHSWuNDsFUvo32vopePeyWqH7Z8H/d8eEjzQyIxli/71R3zOvty+6OXNS+ymeTDok4M7uQ4jqxsSP2mgciMZ8Nx21XlDx8d3WZLamQ9ZJMuQmSRN5E+K84OTkZ06dPl1zumJqaKnufiP/+979YunQp1q9fj5o1axbdHhoaCgAOVWVJSUkO1WeFgoKCEBwcbPNFnvPu7zFGh2AKQfyAkNTpLvM2xDx60XEpxoUUbSpbXp+zW/L22gK9ZrzBgfPun7BILXMulJ6Z6/b+vQmnvDnaetq/TmBFfB/NybIAMGdbnMNtYZULhknFTu4r+Ri56jRv560VY+7yo5ZJull5WHoFDwF/77NdAiw1gHbZIQ5Is2Z9HpTro++35F+Ez+xnzJiBjRs3SiahQkJCsGnTJkyfPl3Rk1ssFrz99tv466+/sG7dOtStW9fm/rp16yI0NBSrV68uui07OxvR0dHo1KmTouciz2AJboEGVTjZVUqdO8ybJJKqZrKuPpu7/azqXm1yo8i9tSLxynX5qjC1JkQdkb3P3w63Rv510OgQTGfAzB1Gh0AmFXVA/mRVblUCT+KIbM3eGmd0CKaVYFeFJ1U55W8X91xNnO/a4M6i7zmkh3yBcNJs0aJFGDx4sOz9gwYNwsKFCxU9+VtvvYV58+Zh/vz5KF++PBITE5GYmIibNwvenAICAjB06FBMmjQJixcvxqFDhzBw4ECUKVMGAwYMUPRcpB1nb5T2U0P81ds96hsdgill5Zq3b5XU8pTCk7H8fAs++PsQPllxjL2m4LwqTCmLxYKwiCjk5Mm/r7g6OPMl/vT/KspXq4LIMxqHOl7EOnTBe5p2WywWLN1/gX0fnVh15JLRIXg9f0v6uKNmRfNeAPYUkR54ZKtz/TuMDoHcIJw0O336NBo0aCB7f4MGDXD6tLIqjG+//Rapqano3r07qlWrVvT1xx9/FG0zYsQIDB06FEOGDEG7du2QkJCAVatWoXx5VvIYZRebXboUKFW7Tbi7ZgWjQ5AlVXlQuNQljT21bPy9L0GzfdUd6Tgd0p4/5ZFenb3L6BBMR2qCKJGcua91sPl5ydudHbbZcNy4aZE/bY5FWESU8AWYoX/E4J3f9qHxByvw5LfSk+P9nb9OdSRjdWt4p+uNfFS03cTdN++rZ1Ak3sO6+o68j3DSLDAwEBcuyI91vnDhAooVU9bHyWKxSH4NHDiwaJuAgACMGzcOFy9eRGZmJqKjo4uma5Ixnv5+m9EhmFr5W+OF+zQLNTgS8ykhMabbLPIlMjNZt6rPZm2K1fz5BnXz3gOMraevGh2Cz1pv4Mm8GeWwelnS9SxWhcixPzGRGrSiZeJfqfH/yi9Fl7LLqvn67rPJrDgjMol76/lv5dB3doNoqgaXMigS71H/znJGh0BuED6Dbd26Nf7++2/Z+xcvXozWrVtrERORVxvc/S4AwIsd6xgcibncWT7I6BCcynOyBEyP5sojH2qi+T7Jf/jLMs5hC/YbHYIp/W/hAaNDMAX7XkOizl3L0DgSddQkwI5cVDd0y5+dvaqup5Kz4wJ/dSlNmwFJvsCfL+qcuGQ7Ff6BxlVsfg4uVdyT4XiF5jVCjA6B3CCcNHv77bfx+eefY8aMGcjLu/0hn5eXh+nTp+OLL77AW2+9pUuQRN7k0ZYFo6jN2vR+08nLLj/oUzNyMHtLLC6na9fw/esBbTTblx4ysnn13tNEDzg3neTkRHuXdRjGYEb/7JevcJfiLycxUQedT2p7ok1Np/f7iolOBohY2zayh86RqKPlZ6y7fDkR/6+TYRHORJ/Qrn+nr1D6nuzLbrDit0h5uyRZcROvLDFK8UC27vFmwn/RTzzxBEaMGIF33nkHlSpVQuvWrdGmTRtUqlQJQ4cOxbBhw/Dkk0/qGSuRV6hVqSBZVqNCaYMjcRQWEYUXf9yJBqOXO93u0a83Y9w/R/DYjM2aPXeHupU025ce/twdL3n7NjeXIub6yUm8Gq7+Dgstc5Eg8BU7zoj/rZnpZNtMpAZ6+JtHWlbHS3aVzr6aEFl2MFFou6rlzbl06LCJBhL4clHVYpXLcT9fdULjSLzfhKijRodgGmZfQeFJd5Tj78KVyvwdeTVFaeCJEydi+/btGDhwIKpXr47Q0FC88sor2LZtGyIjI/WKkUzEVw+89SA36t4o5646LkdZfeQSRi8+6HD72VvbXkhVXoZ/QeVyGaMlZ0g3+39u5na39utrS2mM6KUk1W/OSHr1FHrmB/G/te1nrrneyARSMrLxzYZTHktm7fbzhuDHPu6D6c+1Lrp4U8hkLyGPK+bFw3kyBN9vpKos+7YQ760aE58ivK23OZV03fVGEg5f8K3Pb9LWg+xdTFa2K7jwSd5H8YLjDh06oEOHDq43JJ+04YRjk+o2tStg77kUzwdjAqcvqzsQM8KuOMeT7Dd+2Q0A+HXHOcRFhgMAsnLdSwhkeWmlh5KTeovFIpwU/XaDsqnCZvfLtjiPP6eZkmYNRy9Hdl4+/njzXtxj1wT4elYumn+4EmVKBuLI+D66xrH55GW81qWurs+hhVbjVwMAdscl46eB7RU9NiVD+Uj7/fEpfj3RrFSJgqb3lcqWtLk932JBMRiXOJq16QyqVyiNvi2qGRaDGe2IvYY+zZ3/TlJkLujYS5S4yPXivWHCsfyx6xza1qkovL3Rrt1Q/v5ApJSz43ypqeu+Jj0zB+VLlTA6DK/wrIILn0DBShQuY/Uewv9SU6ZMwc2btytINm7ciKys28tD0tPTMWTIEG2jI9N55eddDrc1q+6/jQ29aYmUfeLBvmowLCIKYRFRaDRmhVvPs++cY6XHvg96ubVPT8jNF0+a3VRQabT8kNjyIW9w5XoWpqw4rsm+lFQkmum4NPtWNYdUVdjb8/cC8Ex/vI1e1uftwHnly9DCv1K+PPynLdpPuvUWE/rJTxZfcdi496E9Z69hQtRRDPl1Lxur29mg4bTcRXvPO9zWvEaw8OMX7HZ8vJmdT3asnr+cnoWHvtyEgyreb/xZRjZ7c8n51Mkxjz/83nLy+J6t1qudnV/Y9Iekqy8RTpqNHDkS6enpRT8//PDDSEi43SMgIyMD33//vbbRkVd4rFV1o0MwzF8SB6lmZZ80qztymS7Pc1HiandFu6oHM7pyXfyqtdQVfSVe6Rzm1uON0m7CGs321SlynfC23rIsXO/Kh+oht/sy+UPyQc1kRNGqHG8mN73umfa1ZB9jP+nMk5bG3G4cLlXxrFbsFXUTEY2UrON7xLQ1Jx1u8+UKkcwcxwtdr83ZhaMX0/CIhv1Y/YG7xzS+zNkFh3JBnBBpdoUFAXslLujr7Y5y5j/3IXHCSTP7kxZvOYkh/bWp7T3l/FpTcmXW6KUENz00HdLdxvnewN2Exfu9G2kUiecY2WDdLPmhE5fSnd7vTq8zud9vP6uLEt+80Fb1/sl3fLXWMTkCACWcLPPIN/BFZP05uWiPdhea7v9sg1uPTzUgwWrfvsBMS8+9yfnkDDz9/TaH2y+kMPmjxlY/OG7TQ507yhodgu4OnE8xOgRN9P9mqyb7+ffABRxKEKtkddWOwIhEHqnHhbTkNvsGu/5QASHHWa/h1JvGVkDM3hrnkefZfMp22Vinu+6Q2dJ7VXFzEps3Xp189gfHExS9NA4tb/OzWU4sv1l/yun91tU8Sq/cD1+4X/L2ac+2RlxkOOIiwxF2RxnJbci//LrjnOLHGPkasl7O/qeGSTN3RZ/UbmmkKPs2AGclBvSQa+8vkH6/VKtWJflp5/5QJPDHLunp4XKMSDiTMbw5EZ2Wqe3f6d5zyXh7/j48PF2skrVaiPNzhTSDzwtJGSbNSJhog/gjfjxtaFTfJrL3GX3gpWapkxa+e9H3qmNOXXZeceRLCiskPTns41W7BvdmycP/bbXMzBWR98vMnLyipQNLBPZd1guTrWr588UXPXxjooEkuRJTHo0wXaZiT09a/F1vOuFd/Qz1INUGQqkGVcoVfb9x+P2y2+nVysJMDgpWzhRaecR3erWS7/pNxQUmZ6zPb0XO6QoH88jxpZ7H/kDREfisWbNQrlzBh0xubi5mz56NypUrA4BNvzPyTecEr4jui09Gi5r+ORygV9OqsvcZPVXSqIaTwT7YU+XA+VS0rVPJ6DB0te30VTw3s6DZfWT/Fpru++p15wM0mtsNF9kfn6Lp83vCjSzXSbPGHzgfurFmWDebn50tv/M1d43y/RNVf3UgIdXttg5ylS6/vn6P8D5OJnm+z5tIctyVDSeS8G7PBhpE472Cirv/Xrja7v3VmbCIqKIJ4wSMWHgAT7eT76FIvsObhx1MXn7M5uecvHy3jqMupt4uPsjOy0dQcedJMVe2nOKyaG8inDSrXbs2Zs6cWfRzaGgo5s6d67AN+a61x5KEttt08gpe6himbzAm5ay/wT/7L6BJNfFJVlrzgxUGHiM6+VG0OtNefr7FYdmzpxUmzAAg4q+Dmu67rYuBAndV8f4+IcsOXkTT6vKv97CIKJf7qG9VCUHkK3bGXnM7aTZp2VHJ2zvXr+zWfvVm375AjX3nUmCxWLDycCJa1KyAGhXklxb6qqASjie+cv1Ur7i4SCMqNy8fxf3owgUZv0LEDL7dcBqvd61nc5ua30tmTp7Lyiu97TmbjHvrqW8Zs8KqMkyLPw2t3pvIM4Tf/ePi4hAbG+vyi3yXaI+e1Ucu6RyJtn7YeBp9pm3U/cPRyEbq5JzSJTM3BIcqnEh0rGQoL7DEzt8/SN29ekf+zZdPdNwZNmEWWjQd/2O3sh5MZqFVxfmSmAsYPG8vOiuYQmztvoZ3St4uuqLAaFLVIqcvS1cORh/Xpndd83ErNdkPeQ+lE3qtK5F8RXqWY6WZ/TFz3xahLvdjht60kXaVZ0qdviz/92D0sDclzly+jqgDF40Ow+sIJ8169OiBlJQUHUMhb6RFibzRJi07hmOJ6Yg6qO8biNYNKY00e0ss5nhosIAnKF0KlimYNJu+zrFnzpv31ZPY0pbUQYqvMHKKn57sEzUBbhYKdqjr28t/nVGS9No+8gGH29YcFauK9kajFx8yOgS3bTzhXhJDqkpzcv8W2D2mp1v79QStLp5tcbNi7ZXOYZK3z9kWJ/uYvHwLFu05jziFiQQ97JPosSn3rvHRP4cdbqtZUXl1XmYOL3z6m/kKe2JleGhKvdGOJdq2ZHqwmeukmVwlqCfFaNjqw/4wRXQFilHy8y34ev0pxF/LQI/Po/HWfPUXXfyVcMZjw4YNyM72niwqecaPL7c3OgTNXE7Xt7pnwW7zTA1zR3pmDsb9cwQfLj3sdiLwuhclh6yna9UQPOBeJVF12b9tTZePy/LRg/O1Ry+hnpf2qnLVvNz+/cNZzkwkKTT24aYiYfmkQwliw2QaVCmHCmUceyYO+XWP1iEJu5mdh0dnbMapJH36vC7a6xufI1p7rkNtVC4XZHQYLh29qM2gpPPJrk/QWtSQ7y3bro708tgfN8uvGBk8bw/e/3M/un+2weVzG0WqSjst0/E44z/d73K47fHWNXSJyVf50oVgObOcvB6kLPPB6h2pRL/98Y7IcnsjekjqyWKXpj98QdkwDU9qN2E16o1ahk9XHkfXKeuLbjdqQJy38v4yITJUlwbm7h/irikrjiEsIgpbTzte1TXrdLffd57D+wv26xZfbt7t/bq7VCjZBOXMIpVP//63i83PLWtWUP18Iv1nzl0z9kr+8UTlJ/xJac6Xb684lIjX5uxWG5LhHv9mq8Ntz/6wrej7pfvtGnzLlJrtOXtNaBpbKYmePf7ikRmux7mXDCyG1cO6SfZIyckz7r25ydgVOHA+FT2nbjQsBl/m8DoD8EDjKgZEor+ktEzUHSnd+3DbGddVG6/ZTSG2Vl7FgB7Tt95QUKHaRaL3nUg/vByTTH41gykr3Fvq5q1e7lhH9j7R3s96KZzG7Q6RZOife2yXx9eqVMblY9xdGmk29m833288Y0wgLlgsFly5Ln+u5cvtLLSm6Kg8PT0daWlpTr+IfMXZqzfwzYbTAIABM3c43H/umjl7f0T8dRCL9p7HAo16vtgnxqwb1OfbHT+mZBifBFNq+rpTLrdpajfA4a990tUel9IyNfkA0qJZtDsenKb8hD/Pxf/34HnKqn/cXd6otYMJjlcRt5+5hvhb7wMToqQbk9t74tttrjcCUL9KeZfbpJvgSn9uXr7QgXqe/ZuFm05MfEjT/elBr2ozf/bOb/scbpv1cjvNnyclIxufrDiGk5f0/zeU+8zoMGmtW82m/W2Jt5JfldTQpvsbSfd5s9bv6y0KnsV7ffdCG5v/Spm3XdnSRV/xhJPVAlou/1PKeilp6/GrVO9n0wnXx5/LDia63MZoJ3R+77bv0XbGSb8zI7m62OEN/5ZmoShp1rBhQ1SsWFHyq0KFCqhY0b1pSERGsr+C2O3TDU63n7f9rI7RuG/Cv0c02Y99GXagVdJsQpTtc9iXX4e3qOZ032YoDf5izQmX29hPstx00vGgYvG+87hn0lp8sMT9nkO+tDwzIeUm/u/P/cLbb4noAQAINFvWTIZ1qbs1d6L/5nn5ExVr++ONXw5Qf/Tyou+dJc2TM9xL8MVFhtt8eYP3F4j/3ZN6ATq8V3yw5DC+3XAavb7Qv2Lwl236HEtUKW/+5apacvd6VVmBIT2HL/heccBNiT5cfZpXQ1xkOPo0d34M54/sL6KaxajFt6ecu/N5a/DgdrcVXoTorfN7t9q3m7IlPTvo6s25zi9YvzV/r4ci8X6uPyGsLFy4EJUq+deVK/IfJy8pW2/vrPeHGVhPeHSnXDv+WoZN6bX1B+q/By5ixoDbP/+4yfZ3MuCe2k73ve30VbfGPxslXaJHynt/FJwgz9t+DhP6tXBr/4d85MB8we54jFh4QHj7Qx89iHK3TlyKFQsATLoEWsSOWPVNb/u6SDYX+mf/BVMtkW81fjWAgsSnyDJkKd48fcy+8m//eW2Tms766pl1iaLZl35cvZ6FOyR6oe09m+yxGKavO4mXO4WpfnxevsXmYlah4hITJn3ZKTd7Jkkt9fYH7v7e/I2vv670uAjhKSLnOjez81Bag8SVq4+2kjJ/J892qG3680eSpuiV37lzZ3Tr1s3pF/muILseO2/d79hI1dOkrpAZZYhEY1kzcHcM8h67kwdnv/MVh23LfBtULefWc5tBZH/3EmBqaNUsWg3rq5VKXEhx7GmmJGH24r11ihJmgPdf7dx+5pruz/GHRkuwtebORKaOkx0fO+fVDu6E4zFnr2q3ZN9isSDWbkqh/furtRkDHKsTn+tQy+bnrFzPf16avTJnq8xEN09WQTvrNyMiKzdP0+Sk2ROdcuyXSwGuB7gQsPyQ+ub13vq3QvK0PPYa1M31tHhPW7wvQZP9ZGQ7H2QmVzRQobTyfpJkDr6dLidd/bdHA0Of/+nvtqHJ2BVuj68vtOyge1NvShY3/uVkfwATFhGFJ79zbGDuzPJ3u9r8nHrTtnriVQXN3KuUL+X0/j92GXvSv/ec62qCZzsUfPD1bFLV7ef7/KmWbu9Db0pHrBfaFedekujjfs1tfg6T6DljFPvkhT2RYRKkXreGrnsN2TNiUMt6DZtA1x25DPd/tgGPTL89FOHt+Y79vApJXTkvXcJ2MYHSamotPDzd9VCHtMwc3Ddlvcvfnx4n6DM3mbN5sxIBCMA+DXsprTjknT1upP46zurQe9YMA4y05KqB+bPta8net+aosY3v3bU/PgUL90j3qE1Kdz7cyOykJsmKKKZhpZmrcwAjqL0wbG93nPPzh34y03gfahGqyfOT5wmf5depUweBgf5Zumw2yTeysefsNY9f4SltV7pudCn7zlsn6S/9tFP1Po4l3r4Kbr2cMV7FgVarWhVUx6EVqT8Jpc0pG1a1bUBuP3J7v4YH54kuJi7qKSwiCv0lJiLKaVtHvGej3NXth1uauz+ImZI/z98rP6HK0+7/bIPT+/854DjRzx8kpur/+t3/YW9VjztwPkXbQAR8ufakJvux/myXGkAh6rFW1W1+3m/A70TEmMWHcO5aBl6Zvcvp5F49BqQc0HgJrRECAqDos8yV//zqnT1upI5//twtnRBxRyc3KmnNyNUFhjfuk68WeuMX752IDQCPfb0F//fnfsnlcp8sP25AROqsPerY7F1tQUGuhseBvZu6f7FZlKvKL625et00ry7d+87+3NkTw2ZccXdFkr8QTpoFBwfjt99+Q3Ky5/o8kLTWH6/GE99uw1wPN6Kftkb8hMAbSuIzsnPRZ9omyfsuu7hCI5WwVFMNoTUtPuqkeqNoydVwAE/IznX+9xkXGY4zk/qqbjgu1/g+qLi5LzyskTjw8gSpJbCVypQ0IBJ1vr01ZVetqsHiDbtb167g1nNpadFebU9Im3+40uG2EJVLGYyY7CZ1snE+WfkFmHkKqz0fl7mibV/9vP6YNlXZokSXg16yungS/pX0ZzIAvPmLsgm89qqHmK/qQQvDFsSoelzjUNcTegt5x0mV4+vvu2jH92Yl/99SbuaYpy2IJ9SrbJ6qby1ZD//6WGJwltrPN/uhYp7wmsQKkGEKB9Hk5uVj8b7zmLpau2RhObvhGnpWae47l6LbvqW4+neW631n3+9Vj4tBSj0/a4fRIXgF4aTZvffeizFjxqB69ep47rnnsHbtWj3jIhk3sm5n0scuOazpvi+k3ESmRgcDrpYzmUHTsY4naIVKFHP+0rCfEglIN8+sXM6zJ/5G9pcQLQUvEWh8s6qGY5a73MZ+YqYSf8corzy6p67xQ1ZcTdlx5m83+kQULoG11vEu7xkQccxJdYyIHaN6Cm/by4NXbl35dKX8wfWNrFzFJw/Xs7S7Uqx1Qk8tNZVMH/xtO4H36/WnnG4/9WnpZd+1rQa4AJ5PiqtpMO6sykEqWWFfAe+Mq8E0ervh5O/bnc/uZQcdl1N2ru/6/fNNJxVE9jad9GzCVY18wbeb715oq28gXu79Xg1tfnbVGF7Nygwz2BmrT99RT1Rg62HOtrN474/9OKHhMv6KZW3PgdpNXKPZvu0paY+gxd+s2hYQ9q8nvaYnK2FkH2VvIpw0+/7775GYmIgffvgBly5dQu/evREWFobx48fj3DnPX9H1V1KNTrVw+EIqOkWuQ98v5a/yKrHApA2qRcVLVAdYl/6OWyqWsNS7asuekYvrHhQc73zDRMMbzKRPc+/uc+Bu4sie0YMATiWlIywiCkv3e2bpZVxkeNGXM3fd6R3DNS6m3kSD0a6T084cHCe2NPOljuZZymvPWWJRq33IndSWDVI0IF1zoq8dV5Xdzrzeta7wtka/xzqrcNZ6YMLYh5u53KZrA/Hq+CwX1dlaWbzvPMIionBQRbLZIngEFOajlVNaeaJtTUXbd52yXqdI9KWmuubVzq7fb+bv9Ow58VaNKpWkqu2k2FeLtagRIvwcevYatW8l44wWf7NaLWPVs8jEfqI3uUdR5/JSpUrhxRdfxLp163Dq1Cm8+OKL+PHHH1GvXj08+OCDWLBggV5x0i32SRiR8boiog4UNME/o/LFa1/uPnOTucfpuvq9SZ2kZFgle+QmbtlrV8ez1UNGDjK6Klh23V9mKZEZfPRoM1VLMqV6gWn12jSrUxMfcnr/pyuPubV/LUaCu6Pn1IIk8Du/yTdf18Ku0eJVZgBwd03bA1SzHhQt2qus8lBq2Ub5UmJLM5Wc/HuaVgfEcV5QvW3v+2ixJvtK+25aU5Jbv6Os+DJoPWQ4qeT/U+MLjQ0FJlffWV7893HEQ1NQ3/ujYEnZIzNcD5Cwp8Xxj+jSTTNNbtdaNR9dxqyFwd1dV2e6265BqQEeXlrX+uPVNj/b90H2F9YJwHMaTs7WktRUe1JP9bi/unXr4uOPP0ZcXBx+//137N69G88995yWsZEEqakmrvoziVB6rPHP211sfq5fxbPVDykZ6tfFizQ71+pEp3czzy6lcrcS8avnWmsUibw7yhl74vKXk2Vb9v0XRCWk3HS5zZQn7la1b09RujxIrl9Doa/Xu3fgaN//zZMnKaK9mNwVFxmu6MQVACra9XrTany61pSeONgfiP/8Snvhxzap5vsH7d1lhlH0aeadFapaVRzcp6CXqP1SIU/7yUklxOoj2i6ddbWkzpXUDNtk/OytcTY/WywWzatG7I9lRT5XrWkRzdCeYlPhJy4Tq8oxO6nPfXf/dnyZGadBGu0ZJ9NVfZl1pdmcbXHGBeJETLx4H3rv6FtpLNVJMwBYv349Xn75ZQwcOBB5eXl44403tIqLFBjzt/vjc5UmW1rYVTs8J9GTSE/nJNajZ+bk4a+9510mEf+OUXeSqeYNxT7JqVXPOL30auI8ySeVTFA6cdHTE27sKW2OKkKk1PtJF0se7JMhnvafeeIT00qVcOujw8a2kT2EttPi4oCo5RI9gszCfvLSN24mJ83q/kZVhLe1b6zrT754ppXRIajS7+stiraX65nZLsz4XpCu/G/hAZdLDi+YrA/S/xYdcHr/099vQ8+p0ZoOffpho+17WWeFUyq1qDTrIli1asSgET3sE5yG/l7Phk7v99a+ZnL0PN5Yc+QSwiKi8PT323R7jkJa9TkuTJBL/V7UDusxmrv/xtbnPlLTV81AycDANnYXLsmR4jOfc+fOYfz48ahXrx4eeOABnD17Ft988w0uXryI7777To8YyYUFWozUdvN9tbKHq4fs15J/suIYGn+wAsMW7HfZ5F1t0mSb4JJMa1XsqkhSMvRdSuXu56OrJXFSV5Zz8y2KGni3rFlBaVhuOZ5Y0JvKnUb1WnA1WKCTQONmPa04LJ4oUrqk0JlqIWIJD736OUp5X2b6qbuUJphFJKaZ62RbDXeXMpu9MuLsVf2WVhq9jFmtgwnKelZJLd89/NGDmsSi50Q3APjj1tLLnXG3G4838HB1vlKuPg92xSUj9soNyaFIan226oRbj7fvaaZmiqHaanNvNXnZUaHtBnYKc3q/EX3NLBYLJi07ir3nxKtpREW4SBq7Y8atwS56DSKwdilNfb9Ia4Wvpcjljm03GimcRnvgfIoWIblt+aGLira3X+EU5+RzfUx4E1Uxae1QAhv8a0k4aTZ//nz06tUL9erVw/fff49nnnkGJ06cQHR0NF566SWULu2/V3p9wfcbnfcecdU3R+mbprtem73L5mfRpUAiJ2dbZJpqLtyjPDnZ3K5B5tpj+kwv+2L1CYRFRKHJ2BW67L+Q1JXyf/ZfQPMPHSeRPtaquuQ+ypXy3EFpVm4eHpxW0Jtq6B8xHnteb5N6U1kyV7TXlJY82a5Pr2a1vpDg8iaerGp1duGg+2cbkORn//aHFCbFXJF6SWo16ODTVe4Pa5Ajd0IfpGG1rpGkqv61ZH/MkZdvka/qsPsbkUpWz1aw7Nts9JiOvitOLOEUUsZc1URhEVGoO3IZfth4Bv2/2ar5/v9y8yJrmod6jbq6IHPv5LWaPE/hRNCftrhfUfXoDGVVxiLUVLy++3uMou3th6H8ukO+2rR3U+9sm0DOCX9qDxw4EOXKlcPff/+N+Ph4TJ48GfXr19czNpLgzmdmWEQUwiKi0P1T5VeEFqlIGOkp2UXFltTBhegBh9xEncIr40renO2XZ24+qc2UG2sWiwVfrj2p+X6lSP3e5apy/ttDujeIJ4cVNBpjm0TU46DTlVqVSuOki6b5Rhvz9yHhbRtp2PT1xATx34snK830ItWTUo16nP4mZMEuz01xXn1EvjLHYgE6TFqr+RV2V8M4jPTwdNeN3JVUKJ+5rF1Fk735Tk5+3PWPzATRx1srm1BoVtEnLuu6/40nbfc/d1uc7JQ/+08IqWrGbgp64JlJYZLI1wcMiRCtjjPS3eNWeeR5un26wSPPc9qN99/dY7RbmSDH3SpVEUqO3mrfUUa3OPS0/liS0SGYmnDS7Pz581i8eDEefvhhFCvm+mHh4eG4eNF56ePGjRvxyCOPoHr16ggICMDff/9tc7/FYsG4ceNQvXp1lC5dGt27d8fhw4dFQ/ZJ2Rr0j4hTMeVj3D/e1fT0O4mpXVK3qbH7rOOVObkG+iWL275Wlh/SvleSVssj9jj5YEu9mYOwiCgMnrdHeH91ZU7s7X8neo6gtld35DLVjw27Q3miYvvIB7BpRA+UcNE0HwCC7aq3PHWlEpA+sXu8dQ3sHP2Aw+3L3+3q1nMd+uhBhLeohj1jejr8LTiz7qg5Psz3fdAL4x5pquqx1it0y7ixrO73N+9V/Vit2PdnVDN1FtC3d4wnP7cKp/45I3JgrySx72oYhxS9m/2mZ+YIn9hPjDoi3Ox9k0wFuFYKLypq7YZMYrB7I8fkjdl6nv57QDrhp4exS6Qv3NhPMnf2mhZ57Wi5lPvwBW2rKeX0/0b7yhw5ocHqG9176u9XamXM+WT9e6rNfKmdou31TnDq0e5BzpKYC6qfT8/2PfvjUxAWEYXvoj3Q21XDLhB33WnOC5+v2K3iIlvCR1xVqog35QUKEmI3bzo/GLpx4wZatmyJGTNmSN4/ZcoUTJ06FTNmzMCuXbsQGhqKXr16IT09XVEsBLz4o2dHEgPKl3xp6ZMVx5CZk1c0ca/bp+vxyQrHtfhqPPvDdofbejeVbqAf6KKPlRZ6f7HR7X0M7BTmdKrl2/PFm8QXEv1/1+skTs0HvLOGpnJJQGdCFYxut2/wfiDeMwfkcr54ppXkpChXvdlcKRdUHF8/30bxFFW9T5pFVSxbEi91DFP12D1WCffWtSuojqGK3YmNERWUFyUal4/o00jxfi750bLFjQJVOZfTxXrQ2PfLFLVZ59dRCwUVFr/tjBfu92Y/zfHHl5WdwIrSuhpcrudsCYmLz+eTlU2L1MIbXevK3vf2/H0uH69Vld4v28QbVsv5O8ZzST4ACP/KdTWlFvaeS/HI8wDA+MeaqX7sG7/s1jASZeRWiKhxSuZCdI/Gys6D9db4A+3asbg6hli6/4KqFjVytEqwPiY4UGZU38buP5mGh1mDut1l87OZLpgoqQD3N4Y2VXjooYcwYcIE9O/f3+E+i8WCadOmYfTo0ejfvz+aN2+OOXPmICMjA/PnzzcgWnMrTA7J2aTgQFCrqxdLVE6pdEX0BLHxByvQZOwKZObk4ayK6jol7BMe3iQuMhzjHnV+oKTk70cpuR5y7qo3SnlVmZYHRXI93UStOKysSaleujaorPgx9g1TtWCmsnG1iUPrCXn3CU5pE/GnAcvn1xxx7M8Y3qKa4v0cT9TmIlhLu4nO3kr00/fTp1qq2v/4f/Sr1nf22fzJEy0kbx8wU+xkN+qg7fuh2mV2wS56ar7w4w5VDeSVCg0phXZ1Ktrc1nNqNOKu6Dc0QorIBYANx83x3uupOPo0M3c/Ij0bqXe8S/1AIj2PE13R8hi/59RoydvlLgQ3VtjTOUZwYqkrWqw8KiQy/XGEhsMRpCrD1hy5hPqjluFiqtjFAyWDFB5tWUN420JJ6Zk2K2E2HNduKXqX+rbH1Ts8MBRClFSPaipg2k6ksbGxSExMRO/evYtuCwoKQrdu3bB1q/ZNH73dkYvaTciId1HmXDVY7Ar32CX6HJy7GoVuT8urMf6iZa0KHnuu33eZZ3S7u1VU1j59Ut1JbSEjR9pbf6DPfqVD0fcHx/WW2rxIYeP1VuOlR1erXcIH+MbVr0CrP6/WtSvKb6jQiIX6TfqS8/lqx+bpopNQrc3arM2y+c+fbqXJftRwNShHiQwXF8AKlVSxNBMArlzXb3mmsyq2Z9rX1vS51CxNBYAxD7teWi1a7eeOksWL4b1eDR1u7/7ZBgCeW/pXq5Lr3jsDfzbHkh1PxTFa4eS7wxdSkZTuuYrZQXPF22Qo5WzIT4e6lXR7Xm/W20mS1Qw96EQKDSZEebZP3LQ1jn2YX/9lN3LzLXh9jljF4tPfbxN+PiWrPgDg6e+2ocPEtbhr1LKiKrCbMtVgao5Nq1ewPVZ6+aedivehJzP83ZqRaZNmiYkFvZ+qVrVd9la1atWi+6RkZWUhLS3N5ssfHEuU//9sNV5ZQ8oEuyUCWbm2bxQT+klfMfYUueUOnqBn/x015MrI3eXJXgnbz5jjCovWfReU9Osym1lWS58CiwUgLjIccZHhLqdmOvt7nDFAuu+fNxkmcZJbaP9Y5wlFAPjnwO1qGW8fbJCZ4/he6OpvvuPktfjDLkmu1eu/fpVykrdfEOyZ5Q4lSxIX7zvvtBLz1+1iy9TuMeEJrEhfN6OJVBOvOarPlGt7nevLV/Em31CfiH2nh3ZDuv7aq//xlugSXU8RSSQWWnPkEsK/2owOE9d6bJm81NJ4TxC5pmh/vqA1ParYramZwnh3DedVzkYnIOynPprd4QueO2+XW+myM+72cUmbjwsuAssdszkbAuTN5N7Pxi09bKqVH55k+rM6+6adFovFaSPPyZMnIyQkpOirVq1aeodoCh8tlW+OmuJi0qQ96zcLAPjTLkl1X0Ply7W8hasP/IZjlnsoEjFqGvUO7Sk91dKau8351/9fd7ce7y41B69aTfjp2yIUsZP7arIvo6hdbvzojC2yB4gP3+3eclUzeN2q/8+7D9i+jkLKOE8oArbLMrROTKs52Pe0i6mZ+N+igy63GytQDSSqU+Q6zfalhff+2C9biQkAswSWyQDaVsVq5cp1/Su03CVycUSvKnlPGXK/dkmzYQv0T4TaT8OsKPFe6skLeUq8btXHy9uSE0orZEWmP983ZX3R94XDNbRswfHf31z32VPLYrGg/mjlx/j3Cixp1frzWckFfC2XFdqTW3bvLUR64RVWf/++U3oat1kvFrn7nik1OG3FoUTM3hrntwMDTJs0Cw0tKHe1rypLSkpyqD6zNnLkSKSmphZ9xcd7buS8keTWtqtpLhhgNyJkzN+2U42Cintv/y5XLqYov4L3vz4aNJhUSarE2ZWhPW9Xy/w5uKPkNk+3q6k6JkBd03wtzdkap2j7wXZNOd3RvWEVTSd0edqDzeTfX+158f+mLGdLs8qUvN0PyXppVWGVWT0Xf/fWvy53zwGfv8d2uZuag32tKM3fFC7jlRIXGY5Xu8g3J1djnmD1lidJTawVNelx905UjBgcQeKOJaYhJ1/9Sba39VhdYzcZuYtEv8cDCcqXq97M9mwSK1eHxJ6eqxtE+lhZExnudCnN8fNTyyb9evZNi7+mriq5lMCqAq0/n09cEu8FOn2d8vMEUU+3U1+YkujhiknRiZVyyeQzV/RZ2aMXLd6Pzly2/X8ePE+/peHeQLek2ahRo1CpkvrlA3Xr1kVoaChWr759RTY7OxvR0dHo1KmT7OOCgoIQHBxs8+XP1PTz+lunBv6+6tUuYUaHoFjhcrv2YdKv0ToGJ73c5WwsvVbkmkV39bJKTGcJDFfsq618gZL+kIWvo8IqM1fVZtYHMe4uz3xWokeUUdUY89+4t+j7Qx896HJ7+wsxhRpVVdZQWZTc82nhSxUXLgDlFROVy5XEH2/ei6Pj+2DAPe71BzMqwVpNYV8Zf/W/RQc1ndTmbT598m6bnzNz8hQn5gFg5WHPLpvKy9P+H02rQSlSlF50Fak0M5K7vQgnL5fv6/WMk+SQ2v6K7lh2UHxQlJ7LHd25QHzv5LUaRuLagkHSRQL2Pl91wuG2sIgo5Ai+vns2MceU1X3nkl1v5EKPz6Nx7UbBkuhpaxx/L/5G1St97ty56Ny5M6pXr46zZwuu4E6bNg1Lliwp2mbkyJGoUKGC0/1cv34dMTExiImJAVDQ/D8mJgbnzp1DQEAAhg4dikmTJmHx4sU4dOgQBg4ciDJlymDAgAFqwiYr1idX9kvxYjWc3lT4YvMWag55lFbe3TCwobnoREcz9ssxm/TMXFxMvemQdCrtZVf5RRuPS6muovG72blzohV2h22yeVecfL8ud5NmUseq83YYU1F1b73by1PKBTmfTggAf+1NkLzKbL38VY0xCht4a+ELnQ8ka1UqjbjIcOwe0wv31LsDpUu6//7i7vJ7tR5rJTbB7FKaMT2bzGK/RtP1vNGPL7dzqJQbvfiQquPS6BP6LUuTkutGdaCc6BPa9A5Ky8zBz1tikeTkteVqWbxIpRlQUMl6VMPhZKJmbXJvqMzyQ/Kf/W9r0CdQy6m832xwnD4JqBu25IlpwWZwh8zSfPvK69kKV6rY+/CRZqoep/UAmn9UtO+R0ubj1cjMyVO1ssnXKE6affvttxg2bBj69u2LlJQU5OUVnHBVqFAB06ZNU7Sv3bt3o3Xr1mjduqBB9LBhw9C6dWuMHTsWADBixAgMHToUQ4YMQbt27ZCQkIBVq1ahfHl9rkb7E+tqirtGOa5b1kphA0Wz+u6FtjY/e2Jq1oHznpmKJWWi4LIed5bgTu7v+jmCS7k+sTabMnYnq20+Xo2Ok9eh6Vjb8cxlBZIGojxRvr7vXIrqx5Yobu4rz2rM36F+aql9UtrZya8egwDM0ovpzKS+mPtaB6e9/aSuMrs7ne2ljmFuPd6MRvfVrr+btcJ+Q57UvZHjsjsp3j4kwxWR5bXHFSy/cpdoBYYe7E9YpYYjLNp7HttOX/VUSACAsiqS0+euOZ88r4ZcP6rUm8r6kd0zcS0++ucIOkySr+55uVOY032IVvt9s+E0Hvpyk4LoxLiaMPj9Rm0mMUtRMhxCTgMDWyg4894fMaoe17Cq9PAdJf7ep//KprtrOh/UINW7S5TU8umaFdVdTF6hcWXsvO3qj2XtqVm15osUJ82mT5+OmTNnYvTo0QgMvP2h0q5dOxw86LrBr7Xu3bvDYrE4fM2ePRtAQdnnuHHjcPHiRWRmZiI6OhrNmzdXGrJPKe7kU8v+qpqzq8mXBRv2bjju2xMy7Ps3KW2MKqK8XRJl6X7jlr+KVIEA4lcUpTzXwfXSoXd72k4h1HJZmV79ekTL0EtoWKr/2arjmu1Ljt7TqLRk9mb39n8jC/fIT57ToSjBNIoVC0DXBncqXrphP4ZdKU9PrPXEcli9B+9olTgT+V3ItQOwdz3TuGpsKakZOTiVpF0S67kOrvsARS4/pmrfo/sqr7Z0N1ntjikrbT/j5PqxBZd2PWhFS7Nebq/4MTtj3Z8EnJ9vKUpo5+blY/dZ6SVWUxUeG9wU6G/s6rhP9Pjx05WOsZ2+7F4/qLNXb3i8ctCMtB62kpOXj38PiC/1tLbqvW5uP//QWwk7d9qEuLL07S4ut9kj8zpz5cOljhcq1S5Z/U6melBLc17toPtz+DLFR5ixsbFFlWHWgoKCcOOGucZG+yJnVSz2V2GcXYmaKXhFZuDPthMylr/bVehx3sL+zU3pFReRKwrv2PV9+k1mAosvEG0i36uJ7XZJGlb4efqKtJ6cJV208qsblVWiglQmM0oE2r4+j+nY30ULNeySPs7ita9c9CapCicyy7FPgurZM0ftQbEz0Sf1P4mzHj5hZmcFqmxEL8asPnrJ3XCcerWzsmXA7SeuQc+pG3Es0f0lZ4+1qq7roBjRaj6z+FbwRNHTbS062k1EFDm2SdbgfbGe1coPZ70H52xzXIoffeKycCI/SkWiZLgbQ68e+Dxa9WMBoNunG9x6vFnYX6RQsjQyLCIK7Sas0bRC2CwXKET7hRVy1n/Omugk+ye+3aro+Qv9tlO74+eEFHWDKJTo1tC7Ph/MRvGZTN26dYt6kFlbvnw5mjbVZxkBqTNi4QHZ+7beSiw4m8wjNSa6STXlgxW07J+i5yQhAEhT+AGyWuBKS9+7q6kNxylPLCV1ZvGQTkWN0Au/vn+xndBjQ+0aQv+xS7tE4gANJzX5g5MeWAZUwUWDfDmta1e0+XlilNiBklGUTI21/3/zJt9Ga3NF1D4p7E6FqytqD4qdGfSL+SdJiXxma1HBMf4fsaXBocGuhwHk6tBQ3drjrcV6qxUqnE6+5ZSyCzL2Fy7jIsPx5bOOF521ZERTcrWcNTN/sq3tBG9PXNxxRiShf1PHahlXeny+AS//tNMm6ebMW/P3Kn4O+4tCnhKvYNlrmsBqkf3xKZovTV/0H/kBdc4YvWQzS+U5VT/B/siF3rpfuwn1APB9tOvCj7jIcIcLFPbvK9YKqzs9ZfiDjTz2XABQ79b00NjJfXFmklgykWwp/nQdPnw43nrrLfzxxx+wWCzYuXMnJk6ciFGjRmH48OF6xEgqrRG4WttwjPQbdlhElGZjorXsmSa6rNRTRJoy3ynTfNJdv2yLU7T9m/fV0/T5qwic/MixX0aldzNtV3o1FauQM4LefYduuDEIQNSQ7uqa6D7UPNTm521n9K0i/EjwxF+Os6XB9vfptZRQi2oYZ1IysvGdRkmziL+UtXQwm2yND7CV9ikS0bHeHS63efmnnTiWmIY1R9RXeK2X6b1k792erifuTl19AhesrronazxQqGl1dVPVUxUuZdd6KZUIJYl7awfG9dY4EteG/GqbuBn50O1KJpHeqHqrUv72sVvhCaczUtVfSrhzUfjMZfmVPhP+dT1NvHN91+8TRuk6Zb3wtj1dVLQlpWXisa+3uBuSg7Z11F8EEyks2CFw7PN0O/mEUJ9pGyVvH/O3us/g8f2UtUoa/qB8leKes+4vaxb14SPOi3s8OVn6ja7anpO58n6vgiRdQEAAiul4gdKXKT5qf+WVV/Dhhx9ixIgRyMjIwIABA/Ddd9/hyy+/xLPPPqtHjKTARgPX/ItOZnSHlv2qRHpvFfr3v45r4pe81VnosXqdHE9fd0rR9g801nYMsl7JQE97vUtdtw54tPRK5zDJ272p75iUO8ur+1u56073G82KWnHoIn7eEufWPpy9O6XYLd3Rq6qqzzTtGzBbazXedriL2SbtvtyxjtEhqLbcSeWNWuF3h7reCAV/N6//shtnrypvs9F+4hrhbZ/rULsoGeEsUTN84f6i769rvDRP7WvvK4Wfue5M4vW04FKe7RkmZVC329UoWvYGVWvn6J5FVfQB0P8kU031l5SwiKiiJEnqzRzM2hzr8jFzX71HaN/bRvZQHVe3T8WTX4WUHvO7avXxl4rG8xEPqV+WKuKawEWBZ37Y7nKbKU+2lL1PrlXEmqPq+lZr+X7xxLfbHG5zNuVVxOb/3S95e3md3+dixvYS3lbPHqxS1Zn2S85JOVX/Ym+88QbOnj2LpKQkJCYmIj4+Hq+99prWsZEKL7mYLqOnVxT2CVFDyx7vHzxc0DC3mZOrziMfaoy4yHA0rxGC+W/cPqh494EGaFmrgnbBeCFPN93Wy5D73R8lrpWH75ZOPNsnKrxNn2ZiJ+72GoV6ZlJy/LUMDJ7n/glLoMQSnsKmzlqf+BtBqupxRB/PLjFwZczD8leSPd0XSamv1mo/0l1pS4WDCcqmO4dFRCluFVCYjHB24rXl1FVk3mpenpWrfzWsHqRaXJjZwsGem6Lpif493ma1wkpPZ0vJjiWmIyktEy0/WuVwn1QiSrTypFqI+iWaZ68qny7qzmRDKWraxQzSeJWGvfYT12jaxsasRHseA0CHSWux/pj6QXQ1K7o/7VSNCmVKGvK89qSqMyuVNUds3kzxWW+PHj2QkpICAKhcuTKqVCmoXklLS0OPHuqvQJB2xi09jBYfrrS5TWrEudLJX+/3auj0/hY15Mf6PvD5BkXPJSdTYAKQKJEGy9ZXPjvdVbnoquN7Ln4Xrug14dHfifSzsGemD5LGTpJEVz201EePnjhqS8FDPDAxLSwiStHyD2ec/X9q9RxGkVsm3KqW8yrNTSOkr/jqxVmFymtzdsneZwSLxWIzVOFCqntX16UoHSQwc5PrqhRPafzBCmRk52LcUtfLy8xIaQ80o7VzMt10wSBtE2qdI9fZ/CzVsHvl0Ps0fU5f4yrBHXtFump0npv94Y6Mf9Ctx4vSozWF1GRPV0QHd+wZ01PxvgvZvx70cD5ZedJSS98831bR9nK9U7e72aajUVXPXIwVYf+npXc7FnKP4rOjDRs2IDvbsZQ0MzMTmzbpuyyECrg6/5y9NQ7pdlfUB9zjuBRR6dKBt1xU5Dhb8nDaSb8FJXp9Ib0uv9CpiQ/htBc0ODxyUd++Q/7K3QlNRnM2HbftBPElUO6Y8JiyXhV6KlXCsWeglglnJUl4uaWzZqTl76iwUk6Oq6Vuapfm6mH7Gc/1ThFRd+QytBy/ylQHymmCfdVy8vI9Evf2M1ex2UQVW1r3VzMbuWlzHXRehi2VmPBUpbEZ7D3nerqvfYuNL11Upl6V+Vv94O9DNj8rvXBYpmRxnJz4EL57oY2ixwHifRtPX76ueN+Fvteo56ZSd5QLwplJffG3YOsWa4luLkcU8fV629+LO5VcaihdFr8zVvrz+nc3J1Z+/6Ky5J2oExMeUvyYz59yXFL7k8ByajKGcNLswIEDOHCgYBrjkSNHin4+cOAA9u3bhx9//BE1aiibSETqvN3DdSNdEf/5VdlyJHcbB17wQDl+8cBimvUK0vNkL/yrzbrt21vMfa2Dzc9dp7h/pU3pMqH6VTzXM0sL7vZ5sJcuUZlXUcEBtLNS9LICQzLU+E5gapKoxh+sEN72w0eaafa8eovSoDeWq2SZ1so5SRibkauEq9JqjHFL3RtCoZVkgf6JuXn5iqa+7ftAvs/L6L5NnD721dm7HW4rbmAT45mb1L3/eKLna88m7vctDQgIwKmJyk/+3BEXGe7R51PDfuK31vp/43q676d2J9gbXAzfyBAc8qOmT1mJwGLo01z5ZHjRSZjuXACdvPyYzc9pmTmqP8/urim/gkZKsWIBaFWrQtGqFCNMkGnS/5tdsumV2eoqr/d/qH5oiFxS/iMFn39/x1xQ/fwAEKZyWIozr3epq6pljVTCerzA4A5nRP/OpYppyDnhf+FWrVqhdevWCAgIQI8ePdCqVauir7Zt22LChAkYO3asnrHSLWV0Ohl1Jnp4d7f30cmN8uPoE5c1PYET+TD79XWxxqhG0GPKmqd1qV/Z5uf4a57vcdLAy5JmHSat1XR/97q5v24N7rT5+YV7a2P+G/dgS0QP/PtOV7f2LeeTFcdcb+Tn3p6/T/Vjs3LzNH2vDRI8kKxZUX2vHCXcmVBnzVX/IaXLImdvjXO4rWFVz78/lRRYnq10wpizRPwb99WTPZGS85/ud7neyIXFQzqpepza3kN9W0gnGH4a2E7V/qR8/6I2+7Jfon/s4z6a7FeNte93M+y5rT2vwQmmuxXAUifY17NyZd+vM7LFejgGFffcOcW++BSX22jdvsSdCxJaL0vWi/U5zZNt5adoasGdthlyS13VDGgwi7jIcKe9VNWYr3IJ9eEL4j1JXU0SJUfCSbPY2FicPn0aFosFO3fuRGxsbNFXQkIC0tLS8Oqrr+oZK90SGqzsipfS7e3Vq1wWde7QPjOvxMsCAw62RohdLRNJmHVvdCcaarju/ctnW2m2LwD4TKAvg1TZr5lIfXh6epCFVK8/s9NqIltYRBRuCF6JlmNfffrxY83R6a7KqFGhNOpWLouod7o4rTIxkugJBQB887zyZShGk6oidOVGVi4ajRGvvhMh2g9GdFmgu9y5eGPtv7/JJybf6aHNcBFPDNex52r6nFIiydCAgAA8peBEr19r91c1tJIY5POnQCN8tcvG7q0nPbmse0PtplprOZF3y63jqah3ukguk7e2w80eQ85oOUH5BzeWZQUEBLhVPZSWmYO6I5dJJrjUvFcXmuWk8jEpzTN9UJVYe9T2YoPFYnFIkomuxHA25GTxvvNF31+5rn5Jtau/fTMSiVltYnL2K+1VPc6a3kPEhgn0nHZV4Wy0UYsPqnqcklVMnkyW+wrhv9w6deogLCwM+fn5aNeuHerUqVP0Va1aNQQG8pfvKdbnIAM7hbnc/r1e6pdz7hrdE+v+r7vqx9tLEVj6Ye+KYAP06hVuH5yPCZd+Q2xTu4LDbVLLJn4e6P4Hg7VeTcWnxoiYu/2sy20ebK5uYmGhJ9rYnsT8+98ubu1PxMYTzpcbOBMn0/TWGSVLEc1i0Nw9bu9D66rNjcPvR1xkuEOCpFn1EF1+x1rE33TsStcboeD/T65KRK176+nbHwgAWoxznJrmSrMPxX4nenhD5wllhUQ/T9wxtGfBQfsXz7h34aK9k8bs3mLz/8QuZlUJFm+HUFeDi3j271U/D2yPNrWdD7UAgDVH1fUBKi+z/Njdthd6qVGhNOIiw9Gsuuvlac/8sF3RvuUa1Outt8opzlpwVtUt8l4tV+03z8mx4Iz1p1wH5mHWS0otFgvqjlyGuiOX2SRxRHr+fvZUS0x9Wv799b0/9hd9f15wSajR5Brcx7iozuvRWDzxvjuuoE/Y0YvpLre1v97VsmYIujdyP8mvxcolZ955wPU5r6eON3xV1Dv6nw+akeJ07y+//OL0izxLpLzyfsE3ucKraNZfSvt6Pd3O+dXiVuNXK9ofAPxXYKnRM+1q2fz8elfpN8R5Eksupa7mi1ZHiJJaqtNgtLajtO252yPorfttl8A0rxGCcbf+3tyZEmRN6qRSbUKk+2cb3IzGewya69jnR4TFYnH6+72v4Z2y9zlT+w5jxnt7q0H3ub+8TGt6TvQ99nEfl1M0jaiq0tLyd7vizvJBWPSfjkWJkMdb10SxAKByuZK4u2YI3nYxTMeeVj0X+2tQmVVItKoodnJfRVU5Siq79Ug03d+4CgKLuVdN5IyzmKsqSBh6i/TMHNn3lPu9/LPa2d/HkhjpZWZy/cX+2e+6P9OJCQ/JVg+5U0WlBXd69V22uoBR2HIkX3D585NtawpPQTyjMEnbreGd+OSJFh4fKvasTPK539dbnD4u8gnxFRNPfrcNADBrs+vejO/1tK3YWvK2NomSaiHqWzHcdHN1hFLuXvjyJGcXBOWq7355tYPk7a6IXEzxRYqTZu+++67N15AhQzBw4EC8+eabGDp0qA4hkr0q5W8vtxRJ7lS5tTwzzAMntsMfbOxyGyXLogBgm5OD9J9faY+lb3fGJ0/e7XBfhTKO6+6lklclAouhZxNtK8FE5ORZkJOnTX8dEc1rKHuTk2ryPrBzXcRFhuOOctoc5D/eWjrJqqZqTCm5akQlJj5uzKTJlYed91OSU3ek80TtKwKVq572SEv9G2h7mtrkpLVqAo2pI5eL93+bIrDkW61SJQJRq1IZ2Qbjkf29b5m0vSbVgrFrdE+0rWNbHXZmcjh2j+mFpW93wf892MiQ2CIecv25bG2fk0l+olVFSi88abkMT9TDdxdUkE55wvH4wR2uLk7Y2zFKm4tQRtpw/HYF3u64a2gxbpXk5419UqSuQFPutnVcVwCaxbu/xwhvezM7T3aZd/uwini6XU2cmviQzXK2UX2VvZb1puWSYADo+9Um4W1dJc9vZCk71ygUWCwAz7Svrfn/m16szwlF/bXXdQ+xt+6vb1NEYQZjlxxyvZGgmS+57gEpd46ilXZOqsl/2RZX9H3hIAtnSeVPV8gfwz3bvpbk7WqORcuX8q6hTVpSnDRLTk62+bp+/TqOHz+OLl264LffftMjRrLT8a470LVBZcVrsh9wkhhap1GzVZHKNNFlUSIaVCmHu2tWkLwvZqzthBdnb/qzXm6H4xP6YNB99VRNElJLyQSyQkoSbe2sDjbLKqw8KxvkmSXXUv8u3T/b4HI6nbvkqhFFDX+wEZ6/p45G0ehPZHptx7uk++4YaXhv6USDO0s09ezBM7ib6yoyLQ7GRRLX30WfdrlNoW83iG+rln2D8UJm/Luzl5dvQbdP1+N/Cw94dKqoFqoo7Gv6uMAkP63Vu9PzfVNnDGiDuMhwPC1xQiE6wMJevZFRLi9O+KKBP9+exOdsem+9Uba/myECQx2cLcMTdXS8ccMM7O2Ou4b8fAuajJXvH/n7mx0x5cmWDu+ZL5vswtaDGi15LVwueCzR9bJBUWrbDWTleraayRkjP2v0TBruHPWAqsf9uee80/uVvM61bpujhrMVQWOXFAywWHHo9vvpF2tOyG7/x+542fuUHgM4Y9+6x59o0o2vQYMGiIyMxLvvvqvF7kjA3NfuUbwm+4V75U/w6xlwlVcLrsp8lVwlCSoeiJF9m7hVOuzMJzIl1N9sUNZ34s1fxJfmLfxPJzzTrhaWv6t8kqHRTSIbf6BtQ/JCb95XT/VVM+upbVIH+60leuYpdWCc2Dhv0dHthUQaoItMzvM0Z0s/C6++rTikbDiC0h48Srzf23UTWk8SWXbpySUPZ+yWvPz9VmfDB824cvB8Ku4atQxnr2Y4PTAVYT81mAoU07glgrtKq5hSHhYRBZXDNRVPEDXC613EllBfVbBksHdT10kXLd4f1Px7OuPs3+uqi76J55NvOiQP7cklLIw+LrOnVdIs7uoNl7+3QkqGC6lZzaHVhGU1RC5uusvdqela0DKJU2jj8PsVv87XDFNXMFK+VHGPVOAdS0zD4Hl7i36evk77PoVK/x9GmXyIgp40O0MKDAzEhQuu1+aTceTK4I04UX7r172uNxLgLeXTAPBMe+mR5VNWHBfu4wAA648ra5b/yZN3O50yZGZRB+SvWKsltWxX1P/6NMaBcb1xelLfouVHJybcXnL2pwbjyYNLicXXdcp64X3mCf59mbUptSuD57k/HEGK0mVtQMFy7y2Ck3zdJXKw87ZAT0hnFQ/OyDU3d6aYVd+ouMhwySmGZvPIDOcTqZRMfhStqmtWXdv37Psbub8k+Ku1JzWIRJo3TqnTkrt9VHeOVle5oYSrf6OwiChMWXEMS2X6dElVzYS48XlspICAAPwq0SMXAB6z60F13K566o9d7iXetaTF8b/Sk26pVQSfrzqOthPWCD1eyXAhNas5tEya7f9Q7CJooX3nUgAASemZbrVvkVuOBwCJaZkOtx37uA+Wvt1Z9fMZLS4yXFVvXWeHvDMGtJa9b0Qf7ZZJO2tP0Wea+HJld9hfBPh5YHt8/2Jbyde23tNPzUzx//nSpUttvpYsWYLvvvsOL774Ijp39t4XnD87IdNnRk/OyvetXU4338hsPbi66uiv3pqvTXJVS8GlStgka0sWL1aUAJBbfqaU1j127vKDvy89mkv3b6OugXrh5DlP9AEZ7qJPluh7rRqikxHNRkllnVwCwNowBdWF/xFYvgsAUyT6dLrj51fUNfy1NnW1/NIQa67+JuXYD/SRYqZldta0WEaldskSoK6vkR6+kVjmnZmTp/nEZjPoXL+yZMXZ+WTbaqEf7ZquO+vTCxRMhnRGyx6QWp0AK/k3+eifIwAA6yJokYEGR8f38ci//U0NW4OElC6BegJ9+wqtO5aEE5fS0WHiWqGE35MyF2yUth/xhosWcu8hld3oseyswvnhu+X76ZbVsHL12Q7SBRVaERlmEBAQgNjJfbFnTE/ERYbj/sZVNKsi9SWK3y379etn89W/f3+MGzcOd999N3766Sc9YiQ31K7kPPOux5KAVe/dp9m+pqwQb2TtDZyNWla63M6TvnpO/oqL3vSc6mdWUj121PKF39//CSQlYgWHRyi5ily5rPsDL+wP8tUm4uS8pXAio73F+5z3CLFnXSVm1ioR+8m/9pRU1r0j06jbWqiCpSai1ZxaTc60puSE0533jZoV1bU4kBroY0/rZXZyUjJyZO+zfq+Zuy0OA3/eqclz6rFkyWibT17RrdWCKPsl4VqSqxBcc+T2sJ4Fu5W9x8olQgppeZJtRNXIbzvPAVBe0aXna3/ua7cvKjzVVrvjLwBY93/dhd97F+09j95fbBTet1yC9S4DekQqtVrBuaKz1TgbnJxXuaK2wFfr4SRxkeHYP1ZZVaIo0WEGAQEBmg1581WK3y3z8/NtvvLy8pCYmIj58+ejWrVqesRIbpj3mnT5eCF3lwRIER0dfzHV9dp9Z00fK5cTL9E2C2e9OZQst/OUwpPjRw2cYChasu+PUp2c2BXyhabUb/doYMjzarVc1Xpy8dSnW2myTy3k51vw3h/7jQ5DcyJTnEWIVsco/Ryd0M/11F2jexe5875Ry8XFOmdEezoaybqq9YMlh7HBRcsE0V5ggFi1nVE6qRjY8cKPO3SIRBkj2g68rqD3rBpqqmu6NnDsp/jZU9pVtB5U+No1U3VT1wZ34pvn22DAPbXxelfx16sS/xEYeiEidnJfLHmrs9NEnJLPpMJlmc2qh7gdmxINBM4Vz14tuEDx4DT5RKKzZvquqO2lGVJa+wuGohchXU3RLPRyxzqmqcr1Ff67MNVP2K/x/nlg+6LvlTTT1EPHyevw5+54hEVEYa+TEfdyjKx+coezN7Gft8R6MBLvcO2GeFNhOdYnYr5Uctxy/CqjQ/AYkcm8HSaaM8G6/v+6AwCKm6xnnC8vC5cbvFJoSUyCol6SWnr+Hn2XYyjx5+CO+NzFcjCl7q6h/uRLtKej0cIionD0YprQtu/2FE/6m7mvZM2K6pOhUraP1L8Pm9EDFpRWbDrro2Rt95ieimOZa3cRvX+bGujRWLsJguVLlcDpSX3xhmDS6SeTHO9uuPX53LdFNUx6vIUuxQQA8I4GF/+6NbwTAQEBaKlhL9C7axbsy7rtSEUPVZG7Sup0+3QDAOBk0nVdnj+ohLo0iF4JX9Ekl/2x2yW7PnV3lg/CR4+5vjin1F9DOmm+T28ilJ4dNmyY8A6nTp2qOhjS3/2Nq3gk8xw7ua/QlerhCw8AAPp/s1VxXJ6+KuIJH/1zBF0b3IngUsV9cqmGWjez85yW5rs6MA0uVQIxY3shMS0Td3nJpNi4yHAkpWUiuHQJ1ctbok8oGxphZrtG93RZ+ZOUnoXpa0/ikZbVEaagj4jeAgICdH3f/fX1e/D8LPmKjvcX7MfnT2ubGDG7Z9rXRr/WNdBojPRr593fYzBswX6817OBxysZXZ2UDfBgUq19WCVUryC9nDIsIkrV361WvR3tvehkArjWnutQu2gZmZyHvhRr0qykEuKpdjVln3dMeBNMiDoqvC+tlSulvqJDSmiI+DFOXGQ4snPzFS0nNLrKQk0fNyUVpi1rVcD++BRF+9f7dxJYLACjw5ti5ibnCbGcvHx8K9H/TqlZL7VTVNX3f70b4rNVtr0ZPXWsoMXy0tmvtHe9kQY6m2jKs7NVSa5WU7ki0gvy5Y51MGfbWZvbzFAleTk9C3eWD8LF1Jvo8Vm0zX27RitPqsvZOfoBdJhYMHG1TW1tl6V6G6FPn3379gl9xcTE6BwueQstrtQYVQVgtJ5To9Fh0lq3GucGa3xwqzdXV4Of+WEbwiKiEBYRhc9XHXe4f8zfh1w+R4UyJdE41LumiFYJLiU0sUxuytLLP4n32jH6iryIYx+7bgL++eoT6P7ZBuGJob6gc/3K2DTiftn7F+09j4zsXJvbtGzMbVZBxQOdniTm5VscTqA8Ze8HvTChX3PETu6LBVZTd+MiwzHpce0afTuz/N2uAMz3eVE4kXjZO11t/q4/FljWqpValdT1ZbP3epe6io6HWjupILlDpiWFqx5YWqmkYGqhHkQTZns/6GV4wswT/lZQ9eGJ6apyujV0nNyrZqqllJ5NlVXKDenuXg9QIzWqWl7Re4mSnmFmFrlcvrd1F4klx0rFRYbjgcZVZO9XOlTBXaK9zR67NdW74+R1mg6vsFelfCmPDbYyO6FPoPXr1wt9rVu3Tu94SUJvmQ+NwgNPo7j7AvPlpUOilCYOz0zqi0X/6YgD4x7UKSJ9BAQEFC1hk3LgfGrR99PXnXK4/9cdzisCfJ3UAajo0qFCei1J0FKpEoEYItgX5E2Zq89nroiV+evZPFoPtSqVKTqweaVzmMP9TceuxC/b4jwel7dyVr36wcNNi74vpXJ5R6WyJfHCvXUQEBCADnUreeygdMetCY2vd6mLJtUKLiKUd7IkUmlytVl19y9MFE4kblo92Obv2pO0mp8yxupvRYSa92Gtpy07U8ZDgxjcofY1aQalFVSwOPtbOTXR9vjfyOmqAyU+j5Q6/JH7x7Q/DWxns/y5fKnihrepUWKlwiSYSM8wM1jsIvm7JMb1BGt3/ThQvoKvmoKKWC2ElCkh9Hl3ITXT5TakLbc+Wc6fP4+EhAStYiGVfnipneTtRkzFsafkQDcsIkpR/wezXR3XQ0KK62EJhfZ/2BvFigWgbZ1KOkakn7qVywpXOx20SqKRNNGlQwDw73+76BiJtkb0aYy4yHCXB7trjyVJ3t5nmuvfy67RPU3dW8iVDx9pJnn72CWHAfhHlZm7Bs/bI3tfeavPns3/6+GJcDRTNbjgqrHSZM730WJLqZa+7T3vJc6YtVL1wWaOF0k9+V51ZHwfxEWGY8lbnT32nEqVKem9x4ad6ysftlBo95ieRQlmvZZIi3q89e0p0RXLuFehGBcZjrJuNHsvZN+/7bOnWqKiwdWTot68T59qp2G9XE8m11trlUv++vhQf2IpIufPUqtMhirooUnKqJqeOX78eISEhKBOnTqoXbs2KlSogI8//hj5+crGB5N24iLDseydrvj8qZbYNbqnqcoolSw3KeyDJnJS5w2VMe7qOmW98AmuHtNcPK2w99NjrZxP63zkVlkyAJxy0SA00IuTH3orPMBu7kbjbqOIHOzav3b+PSB/xbLwdxEXGS40dMBbMWEmZuXhS7L39Wt1+4RQzRQ7b7PiUCImO1kiU+jYx3185v327prmfE+c9ow5BiC524jc3WPUdx/wvRPDu+4s69Zxrf17kfVnmqc90/72FNhWGjatl2JfVSdl7msdHG5zN5nnSaP6NlH1OFf/9q8qmOxrNtMFh2ao8fFj0hceAc/2SnQ1NEhqlYkWAydImuKk2ejRozFjxgxERkZi37592Lt3LyZNmoTp06fjgw8+0CNGEtS0ejCeaFvTlCd8fVuIXxHIlenP5M/87UT3y2fFPwx7To12ev9pL1tmR9pKz8wp+v7t+fskt6kh0wjdmy17p6vm+3S1jMKsNv9Pvt8b4LgUM+rARafbFy4fNNPFKT05q7oDChrUx0WGm6I5sla0GBhzUuBkXokABDg0E18xVPvXuaiIhxorfkzMWG36jflaNUVcZDjWvt9d9eMbVDHXgKM2tSuiSvkgtLh1Qe7gOLE+TWqIVNV1bXC7r9onT7TAoPvqoX2YfzQ1d5bglhtSUswLihJK6FhN+YLM0Jn3PVyZ91wH5UOBvHmVhNkprnedM2cOZs2ahUcffbTotpYtW6JGjRoYMmQIJk6cqGmA5H/qa9Qg1MziIsPx8PRNOJQg3nfK3xJnrlgsFpdXZf0pYZaQctMnkz/OdG90JzYcdz4htMW4VYiLDHfaH3D4g420Ds1wTTXoLVUodnJfr67srVmxoC/WuKWHMXtrnMP9O2Ov4Z56Bcui+D6rjL8kDpXS4/fS9VbT63cfaIAv154EUNDWwCiDu92FQffVw7wd5/CBi2E8a4bdh/pVtOuxVFiVnpdvwV1e3P/2zKS+bp3k7hz1AGZtjjXFMjtrJYsXw9aIHkXJl/KlSmD9/3XH/Z9tULQf0dfRF8+0xHt/7Je8b3J/25Uuz7T33HRiLbh7HLvkrc6KP9eeblfL9UY6qVe5LM5cuWHY8wO2K5msk7L/9XCFqzeuAvFlitO0165dQ+PGjleXGjdujGvXrmkSFPmeYCeNhtXwhdL8f//bVbOJhTtHGTcZySh1Ry5zeiCw/8PePrNUSOTvpHPkOky/dSLlL2a/4rjkQkpYRJTTwSL9rPqvkK24yHCvTphZG/dos6LKB2vP/LAdgNjglTu8pAeOJ/jy506QVTP5Qd2U9RPSK5FY2Kf2vV4NMaFfc/zx5r0IKm5sdV9AQABesFtC1Okux75cWibMrAUWC0CkVVKkuAGf+U+0UTe9dMeoB9yuCqkSXAqj+jYxZZVn8cBiNv9/ShO8Sl5Hj7eW/zdQ+++jt163hrgdnyA/FXz2K+01OY6d86rYsVKh4NLG9QV0d+m3HoysLOeFKfNQnDRr2bIlZsyY4XD7jBkz0LJlS02CIt9TrFiAzcQxd71nsqtqagUEBOB1DXoKVAk2bjKSXsLvrqb6sbGT+/pEj7dCAQEBOPax/IFVoc9Xn/BANObyjpsJdF8+IBH5m3HGFyvw/pEZevHHrnMuJzbHRYZjjxdNW9ObL37uFLKeNvheT/Mdb7xwb52i6kijWSfVo4d3x/w37i36+dXOdXV/j322Q21s/t/9aFunIta5scRRrc+fbokzk/oWnVj/NaQTpj7dEgM7hck+ZsA9tVHVh18/7lLzNyO3BNQMQ9GkzHypHeIiwxFUPBD/kZkKbr2s1B3dGt6JWXZD48x6UVlkCMunT3puYrAZ/PyK/HRP8hzFqeQpU6YgPDwca9asQceOHREQEICtW7ciPj4ey5Z5b4k06e+1LnXx8b9H3N7P0fHunQiazZiHm2LW5ljVjy9p8JQkvXw9oA2iDihfKuWrSRDRK8miZfi+UK0JFEx/+kplhZ2v/q0UUlt94Ou/Fyn/W3TQ6BAMVS6oOK5n5QpvvyXCu6aGqmH9Ojg9qS/y8i0oWbwY0jJzcPe4VZKP0ap63NvERYbbtEzw9HtIzYplsOg/xvVctK6oalO7ItrUroj+bWpKLgdvUi1YeDiWrzk9qa/L5bRq/3bKlyqBuMhw/N+f+7Fwz3lV+9DbP293wSMzNjsMR/hfn8Y4dzUDUQdt+2lqmdjq2bQq4iLDi44RT06Q77lo1oQaALzToz6e0mH56NHxfbDs4EX0bOI4odho9zeqUjDw7+BFDPl1r+x2eg/d8HeKk2bdunXDiRMn8PXXX+PYsWOwWCzo378/hgwZgurVnU+8Izo+oQ8ajVnh1j7sG+H6uxMaNxs2k60RPdApcp3w9lWDzTcEQ0vPtq+F33fFu7WPVe/dh4ZV9VkqQ97PHxNmVNCgfeXhS3ioeSjyLBbJqVzW/K1/YmCxgKITyeBSJYomhfaZthGnL9/uv+MrS5nV8Of/dzmxk/ui7shlqFimBPaN1a8ZvreQS8Yc/uhBlJVpSq/UZ0+1xGdPtUTyjWyhKdue1KJmiOxn7NfPt0HWnF1YczRJ1xhEPuObVtOuJ6pSjULLA9Lt6QAAw3rrUwFfumQgnmhrzqW8ouz795G2VL1DVa9enQ3/SRV3+2+ccHJlxJsVHlgp5esnuNWtTsweaFwFa485P5jYMaqn3iEZKvKJu91Kmi0Y1NEnE2bWV0/J1oePNMVH/4hV+Pr6+4k7fP13UzywWNGS+GIIwIb/647uCpt2+5PCKs6173fHrrhrSErLcqulAPmmwoEFdFtcZDhy8vJtEvNaJcysmS1hJmLWy+3x646zqFGhNLo3quLx5zfD36qZq9zMromByU5/oHhd14oVK7B58+ain7/++mu0atUKAwYMQHJysqbBFfrmm29Qt25dlCpVCm3btsWmTZt0eR7yjLjIcLSto27Us1l7E7hLzRXamXb9CXxVYZ+QHwe2xykfrqrzhA51Kxkdgm7McLBnRq8I9hTyp9/fGYXTyPzpd1MozEnT7j7NQj0Yifm1D6vEhBmRAiUCiyEuMhxHxj+o+P3Y1z1/Tx1DEmZm4o+fuSLq3WnctGRSkTQbPnw40tLSAAAHDx7EsGHD0LdvX5w5cwbDhg3TPMA//vgDQ4cOxejRo7Fv3z507doVDz30EM6dO6f5c5HnLPpPJ74p2omLDMfQng0w/bnWRYmiMeFNZLcvnLzjT4rfOtB6TYPhCd7KumfOl8+2Mi4Q8ipxkeE4NfEhxEWG4++3Ojvc509cTax7qm1Nm8beZGv6gNZGh0BEPqBMyeJuTxAl33KvkwEnm0bc78FIzKdxqHQl2XMdavnsSiwzCbBYLK7HVFgpV64cDh06hLCwMIwbNw6HDh3CwoULsXfvXvTt2xeJiYmaBnjPPfegTZs2+Pbbb4tua9KkCfr164fJkye7fHxaWhpCQkKQmpqK4GCWLZqNkiVVrWtXwOIhnV1v6GNOJV1Hz6nRAAoqJHiAYevwhVRcTs/yyytzFotFeFnv6vfuQwMfXJppLTMnDysPJ+LBZqFo/IHr3on+nhC5kHITVYNL+eVyiJ2x1/D099scbn+2fS1EPuFfk7nk5OVbJJt2+/vrRm9yx0UHx/VG+VK+MxWaiAiwfc/bPvIBhIaUwuaTV/DCjzsAADtGPYCcvHzUrFjGqBBNY972sxjz9yGb2/iZ7B7RXJHiReQlS5ZERkYGAGDNmjV46aWXAACVKlUqqkDTSnZ2Nvbs2YOIiAib23v37o2tW7dKPiYrKwtZWVlFP2sdE2lr5kvt8MYvu4W2XTTYuMlIRqpfpRzfEJ1oVj3E6BAMU9gvxVXy7NBHD6KcDj1DzKZUiUA81qoGANd9zhYM6uipsEyrup81c7fWoW4lvq+6EFgsAPNeu6foxEXLZt1ERET2Cgd6dWlQmZ/REl64tw5euLdO0fHt0fF9DI7Ifyg++unSpQuGDRuGzp07Y+fOnfjjjz8AACdOnEDNmtpOnbhy5Qry8vJQtartMrSqVavKVrRNnjwZH330kaZxkH56Na2KfR/0QlCJYmg6dqXTbVlhRSQtICAAhz56EM0/dHwNHRn/IMqU9M8TXanE2f6xvRFShtUaRCJ44kJERJ7CKbxi+LnseYrPpGbMmIEhQ4Zg4cKF+Pbbb1GjRsFV/eXLl6NPH32ynfYvIIvFIvuiGjlypE1vtbS0NNSqVUuXuEgbhRNunFWGWPdxIiJH5YKKF32I3szOQ8rNbFQL8d9KokI8sCAiIiIiIrUUJ81q166Nf//91+H2L774QpOArFWuXBmBgYEOVWVJSUkO1WeFgoKCEBQUpHks5BlbInqgc+Q6m9tiJ/fllQciBUqXDETpkkyYERERERERuUPVmp28vDwsXrwYR48eRUBAABo3box+/fqheHFtlwCVLFkSbdu2xerVq/H4448X3b569Wo89thjmj4XmUONCqXxepe6mLU5FkBB43smzIiIiIiIiIjI0xRnuQ4dOoRHH30Uly5dQqNGjQAU9DO78847sXTpUrRo0ULTAIcNG4YXX3wR7dq1Q8eOHfHDDz/g3LlzGDx4sKbPQ+Yx5uGmGPNwU6PDICIiIiIiIiI/pjhp9vrrr6N58+bYs2cPKlasCABITk7GwIED8eabb2LbNscR7u545plncPXqVYwfPx4XL15E8+bNsWzZMtSpU0fT5yEiIiIiIiIiIiqkOGm2f/9+7N69uyhhBgAVK1bExIkT0b59e02DKzRkyBAMGTJEl30TERERERERERHZK6b0AY0aNcKlS5ccbk9KSkL9+vU1CYqIiIiIiIiIiMhIQkmztLS0oq9JkybhnXfewcKFC3H+/HmcP38eCxcuxNChQ/HJJ5/oHS8RERERkV8pU1LbYVtEREQkRugTuEKFCjYTDC0WC55++umi2ywWCwDgkUceQV5eng5hEhERERH5n74tQhFYjJPEicj3VA0OwqW0LKPDIHJKKGm2fv16veMgIiIiIiI7fZpXMzoEIiJdtK1TEcsOJhodBpFTQkmzbt26Ce0sJibGnViIiIiIiOiWcY80xaMtqxsdBhGRLqY82RKpN3Pwvz6NjQ6FSJbiQQD2UlNT8c0336BNmzZo27atFjEREREREfm97o2qGB0CEZFuygUVx6+v34u7a1YwOhQiWaqTZuvWrcMLL7yAatWqYfr06ejbty92796tZWxERERERERERESGUDSK5/z585g9ezZ++ukn3LhxA08//TRycnKwaNEiNG3aVK8YiYiIiIj8DgcAEBERGUu40qxv375o2rQpjhw5gunTp+PChQuYPn26nrEREREREfmtWpXKGB0CERGRXxOuNFu1ahXeeecd/Oc//0GDBg30jImIiIiIiIiIiMhQwpVmmzZtQnp6Otq1a4d77rkHM2bMwOXLl/WMjYiIiIiIiIiIyBDCSbOOHTti5syZuHjxIgYNGoTff/8dNWrUQH5+PlavXo309HQ94yQiIiIiIiIiIvIYxdMzy5Qpg1dffRWbN2/GwYMH8f777yMyMhJVqlTBo48+qkeMREREREREREREHqU4aWatUaNGmDJlCs6fP4/ffvtNq5iIiIiIiIiIiIgM5VbSrFBgYCD69euHpUuXarE7IiIiIiIiIiIiQ2mSNCMiIiIiIiIiIvIlTJoRERERERERERHZYdKMiIiIiIiIiIjIDpNmREREREREREREdpg0IyIiIiIiIiIissOkGRERERGRCYwJb2J0CERERGSFSTMiIiIiIhN4vWs9THy8udFhEBER0S3FjQ6AiIiIiIgKDOhQG0tjLmDAPbWNDoWIiMjvMWlGRERERGQSAQEB+GNQR6PDICIiInB5JhERERERERERkQMmzYiIiIiIiIiIiOwwaUZERERERERERGSHSTMiIiIiIiIiIiI7TJoRERERERERERHZ8fnpmXl5eQCA8+fPIzg42OBoiIiIiIiIiIjISGlpaQBu54zk+HzS7NSpUwCAZs2aGRwJERERERERERGZxalTp9C+fXvZ+wMsFovFg/F4XHJyMipVqoT4+HhWmhERERERERER+bm0tDTUqlUL165dQ8WKFWW38/lKs8DAQABAcHAwk2ZERERERERERATgds5IDgcBEBERERERERER2WHSjIiIiIiIiIiIyI6hSbPc3FyMGTMGdevWRenSpVGvXj2MHz8e+fn5RdtYLBaMGzcO1atXR+nSpdG9e3ccPnzYwKiJiIiIiIiIiMjXGZo0++STT/Ddd99hxowZOHr0KKZMmYJPP/0U06dPL9pmypQpmDp1KmbMmIFdu3YhNDQUvXr1Qnp6uoGRExERERERERGRLzM0abZt2zY89thjCA8PR1hYGJ588kn07t0bu3fvBlBQZTZt2jSMHj0a/fv3R/PmzTFnzhxkZGRg/vz5RoZORERERERERLdYLBZk5eYZHQaRpgxNmnXp0gVr167FiRMnAAD79+/H5s2b0bdvXwBAbGwsEhMT0bt376LHBAUFoVu3bti6dashMRMRERERERGRrbojl6HRmBVISLlpdChEmilu5JP/73//Q2pqKho3bozAwEDk5eVh4sSJeO655wAAiYmJAICqVavaPK5q1ao4e/as5D6zsrKQlZVV9HNaWppO0RMRERERERGRtXVHL+HFjmFGh0GkCUMrzf744w/MmzcP8+fPx969ezFnzhx89tlnmDNnjs12AQEBNj9bLBaH2wpNnjwZISEhRV+1atXSLX4iIiIiIiIiIvJNhibNhg8fjoiICDz77LNo0aIFXnzxRbz33nuYPHkyACA0NBTA7YqzQklJSQ7VZ4VGjhyJ1NTUoq/4+Hh9/yeIiIiIiIiIiMjnGJo0y8jIQLFitiEEBgYiPz8fAFC3bl2EhoZi9erVRfdnZ2cjOjoanTp1ktxnUFAQgoODbb6IiIiIiIiISH+ZOflGh0CkGUN7mj3yyCOYOHEiateujWbNmmHfvn2YOnUqXn31VQAFyzKHDh2KSZMmoUGDBmjQoAEmTZqEMmXKYMCAAUaGTkRERERERER2zl67YXQIRJoxNGk2ffp0fPDBBxgyZAiSkpJQvXp1DBo0CGPHji3aZsSIEbh58yaGDBmC5ORk3HPPPVi1ahXKly9vYOREREREREREROTLAiwWi8XoIPSUlpaGkJAQpKamcqkmERERERERuSU3Lx+5+RaUKhFodCimEhYRBQB44d7amNCvhcHREDknmisytKcZERERERERkTfpOTUad49bhZvZeUaHYhpnLl8v+n7e9nM4cD7FuGCINMSkGREREREREZGguKsZyM7Lx5GLqUaHYhqX07Nsfn50xhaDIiHSFpNmREREREREREREdpg0IyIiIiIiIhJw7mpG0fe+3R1cmTNXODGTfJPQ9My0tDTFO2bTfSIiIiIiIvIl6Vk5RodgSssOXjQ6BCJdCCXNKlSogICAAOGdBgQE4MSJE6hXr57qwIiIiIiIiIiIiIwilDQDgIULF6JSpUout7NYLOjbt69bQRERERERERGZzcHzt5v/c3XmbXFXuTyTfJNQ0qxOnTq47777cMcddwjttF69eihRooRbgRERERERERGZyd5zyUaHYErx124aHQKRLoSSZrGxsYp2eujQIVXBEBERERERERERmQGnZxIREREREREJyMm7vSiT0zOJfJ9wT7Px48dL3h4SEoJGjRqhd+/eKFaMOTgiIiIiIiLyTYv3JRgdAhF5kHDSbPHixZK3p6SkICEhAc2aNcPKlStRpUoVzYIjIiIiIiIiIiIygnDSbN++fbL3Xbx4EQMGDMCoUaMwa9YsTQIjIiIiIiIiMoMHPt+AzJx8m9ssXJ9J5PM0WU9ZrVo1TJgwAevWrdNid0RERERE5KafNsciLCIKJy6lGx0KkVe7kZWL05dvICGFEyKJ/I1mTchq1KiBpKQkrXZHRERERERuGP/vEQBA7y82GhwJkXfLzZeuKGOdGZCfb0FYRJTRYRDpRrOk2f79+xEWFqbV7oiIiIiISCUuGyPSH19mwD8HLhgdApGuhHuapaWlSd6empqKXbt24f3338frr7+uWWBERERERKTOxdRMo0Mg8nkW1pphSQyTZuTbhJNmFSpUQEBAgOR9AQEBGDRoEEaMGKFZYEREREREpM7Kw4lGh0BEfmDdMbZoIt8mnDRbv3695O3BwcFo0KABypUrp1lQRERERESk3g8bzxgdApHvY6EZkc8TTpp169ZNzziIiIiIiEgjXJ5JpD/mzIh8n/AggJMnT+K5556T7G2WmpqKAQMG4MwZXtEiIiIiIiIiIiLvJ5w0+/TTT1GrVi0EBwc73BcSEoJatWrh008/1TQ4IiIiIiIiIjPi9Ewi3yecNNu4cSOeeuop2fuffvpprFu3TpOgiIiIiIiIiMyM0zOJfJ9w0uzs2bOoUqWK7P2VK1dGfHy8JkEREREREREREREZSThpFhISgtOnT8vef+rUKcmlm0RERERERES+hssziXyfcNLsvvvuw/Tp02Xv/+qrr9C1a1dNgiIiIiIiIiIyM+bMiHyfcNJs5MiRWL58OZ588kns3LkTqampSE1NxY4dO/DEE09g5cqVGDlypJ6xEnmFLaeuYNvpq0aHQURERFTkjV92Y8WhRKPDICLyG5k5eQiLiMKIhfuNDoXcIJw0a926NRYuXIiNGzeiY8eOqFSpEipVqoROnTph06ZNWLBgAdq0aaNnrESml5mTh+dn7cBzM7cjOzff6HCIiIjID+XkOR6DrD5yCYPn7TEgGiLfZeH6THJi7razAIAFu88bHAm5o7iSjR9++GGcPXsWK1aswKlTp2CxWNCwYUP07t0bZcqU0StGIq9xKul60fc3c/JQsrhwXpqIiIhIE+eTbxodApFf8PeUWXpmjtEhmNqes8lGh0AaUHxGX7p0aTz++OMYPnw4RowYgX79+rmVMEtISMALL7yAO+64A2XKlEGrVq2wZ8/tq2AWiwXjxo1D9erVUbp0aXTv3h2HDx9W/XxEetp86orRIRAREZGfi7t6w+gQiMgPXM/KNToEU1txmEvifYFw0qxv375ITU0t+nnixIlISUkp+vnq1ato2rSpoidPTk5G586dUaJECSxfvhxHjhzB559/jgoVKhRtM2XKFEydOhUzZszArl27EBoail69eiE9PV3RcxF5wnfR8hNmiYiIiDzhQHyq642IyH3+XmpG5AeEl2euXLkSWVlZRT9/8skneO6554oSXLm5uTh+/LiiJ//kk09Qq1Yt/Pzzz0W3hYWFFX1vsVgwbdo0jB49Gv379wcAzJkzB1WrVsX8+fMxaNAgRc9HpLeUDJYoExERkbFWsrqByCMsfp41O57IQhYpF1NvIrBYgNFhkEaEK83smxxq0fRw6dKlaNeuHZ566ilUqVIFrVu3xsyZM4vuj42NRWJiInr37l10W1BQELp164atW7dK7jMrKwtpaWk2X0RERERE/uL4JZ7IEmnp7fl7jQ7BlJigd5SZk4eOk9ehw8S1RodCGjG0S/mZM2fw7bffokGDBli5ciUGDx6Md955B7/88gsAIDGx4EVYtWpVm8dVrVq16D57kydPRkhISNFXrVq19P2fICIiIiIykbx8/65+IdLappPSfYv9fXjmbzvjjQ7BdC6nZ0nevudsMvL53uyVhJNmAQEBCAgIcLjNHfn5+WjTpg0mTZqE1q1bY9CgQXjjjTfw7bffOn0ei8Ui+9wjR45Eampq0Vd8PF/IREREREREpC1/T5qRuCe+3YqftsQaHQapINzTzGKxYODAgQgKCgIAZGZmYvDgwShbtiwA2PQ7E1WtWjWH4QFNmjTBokWLAAChoaEACirOqlWrVrRNUlKSQ/VZoaCgoKIYiYiIiIjotrx8C3vtEBEZ4KfNsXi9az2jwyCFhCvNXnrpJVSpUqVo2eMLL7yA6tWrF/1cpUoVvPTSS4qevHPnzg7DA06cOIE6deoAAOrWrYvQ0FCsXr266P7s7GxER0ejU6dOip6LiIiIiMjfxcSnGB0Ckc9goRkpcSE10+gQSAXhSrPZs2dr/uTvvfceOnXqhEmTJuHpp5/Gzp078cMPP+CHH34AULAsc+jQoZg0aRIaNGiABg0aYNKkSShTpgwGDBigeTxEREREREREIrQYjke+JZd9y3yOcKVZYGAgkpKSNH3y9u3bY/Hixfjtt9/QvHlzfPzxx5g2bRqef/75om1GjBiBoUOHYsiQIWjXrh0SEhKwatUqlC9fXtNYiLTW8qNVmLM1zugwiIiIiIocSkg1OgQin8H0CNlbdvCi0SGQxhT1NNPDww8/jIcfflj2/oCAAIwbNw7jxo3T5fmJ9PTh0sN4uVOY0WEQERERAQC2nLrCYxMijbDQjOzl5vGPwtcIJ82IiEhbxxLT0GfaJgDAcx1qYXL/uw2OiIiIfN2N7FyjQyAiIvIaipJmK1euREhIiNNtHn30UbcCIiLyF6/+vKvo+992xjNpRkREutty6qrRIRD5EFYVEfk6RUmzl19+2en9AQEByMvLcysgIiJ/kXozx+gQiIiIiEglLs8ke7n5+UaHQBoTHgQAAImJicjPz5f9YsKMiORYLBZcTs8yOgxTuZHN90wiIiIiIl/xzYbTRodAGhNOmgUEBOgZBxH5uM9XnUD7iWswd/tZo0MhIiIiInIbC83IXl4+/yp8jXDSTK/pmUTkH2asPwUAGLvkkMGREBER+a58nrAReQxPkYl8n3DS7OWXX0bp0qX1jIWI/AAPLuT9uTve6BCIiMjLHUxINToEUzt79QYrQUgzFtaaEfk8oaRZWloafv75Z5QvX15op+np6W4FRUTkj4YvPGB0CERE5OXYhFrekpgEdPt0AwbP22N0KEReLzuX7zXkH4SSZhUrVsTly5eFd1qjRg2cOXNGdVBE3ignjx8cJC6Xfy9ERKSDjSeuGB2CaX219iQAYPWRSwZHQr7Cn1dQZGTnGh0CkUcUF9nIYrFg5syZKFeunNBOc3Jy3AqKyBtlcBIiKXAskRW5RESkvUNcninr9OUbRodAPiYh5abRIRCRzoSSZrVr18bMmTOFdxoaGooSJUqoDoqIyNct2nve6BCIiMgHRZ8QXx1CRO6JXH4Mg7vdZXQYhkjJYKEM+QehpFlcXJzOYRB5v6vXs4wOgbzIz1vijA6BiIh8UC6b3BORB+yKu2Z0CEQeITw9k4ici4lPMToErxF/LcPoEIiIiMiPsbcoERGJYNKM3DZ11XF8s+GU0WEYrlhAgNEheI2uU9YbHQIREfmQ61m2Dak3nbyMvl9uwo0sNqomaVdvZBsdApFXW3k40egQiDyCSTNyS2JqJr5adwpTVhz3+7HDcjmzEQv3I99Pl0psOJ6E76NPI0/i/z/1JvsgEBGR+8IiotD8w5WIOnCx6LYXf9yJIxfT8OHSwwZGZl4Wfx75d4u/H7cSuYurbMhfMGlGbtl3LtnoEEzjcrp0T7MFu8/jh01nPByNOQz8eRcmLz+Gu0Ytc7gvMTXTgIiIiMhXzd0e53Dbwj0cuiJlztY4o0Mw3JqjlwAUtIwI/2oTlsQkGBwRkXe5cp3VmuQfmDQj1bacuoL//Lq36Gd/X504Ieqo7H2Ry495MBLvcDAh1egQiIjIh2w/U9CU+mZ2nsGRmN+4f44YHYLhsm5Vmo1afBCHL6Th3d9jjA2IiIhMSThpdvLkSTz33HNIS0tzuC81NRUDBgzAmTP+WU3jr4YtiLH52c9zZqRQTDyrFImISHv//W2f0SF4hYxs/+739tfegirENLaLICIP4oUd7yOcNPv0009Rq1YtBAcHO9wXEhKCWrVq4dNPP9U0ODK3S2nSyxGJiIjIeFm5/nlgXrjsjpxrOnal0SEY6sSl6wCA/edZ+U5EnrNgd7zRIZBCwkmzjRs34qmnnpK9/+mnn8a6des0CYqIfB/7zBARaa/wCnZYRBQajVnBPk1EREQm8uXak0aHQAoJJ83Onj2LKlWqyN5fuXJlxMcza0pEYjJz/GtqVVpmDr6PPs1pXUSkm+lrT6LJ2BVYc+R2pRX7NBVMipQb1kNERORJ125wgIK3EU6ahYSE4PTp07L3nzp1SnLpJvkPDi8nknf3uFWYvPwY2ny82uhQTGvkXwcQFhGF6BOXjQ6FyCt9vvoEAOD1X3YbHIm5jFh4AO0nrsGjMzYbHYrpJPPkjYhIMzey/LtXpK8STprdd999mD59uuz9X331Fbp27apJUOSddsZeMzoEItO7npWLLaeuGB2G2y6nZyE/X9tU+W87C6qVX/5pp6b7JSL/9uetdgAH2LvKAZfvErmWm8dVAvYsFpZLSHnoy01Gh0A6EE6ajRw5EsuXL8eTTz6JnTt3IjU1FampqdixYweeeOIJrFy5EiNHjtQzVjK5HzZyeirdxmWI8gbP22N0CG7ZeuoK2k9co+v/x89bYnXbN5EvYp/IAlon833duH+OGB0CEXmhDE6AlHTuWobRIZAOhJNmrVu3xsKFC7Fx40Z07NgRlSpVQqVKldCpUyds2rQJCxYsQJs2bfSMlUyOS6rIF/zfn/vxzm/7dH2O9EzvLt3+YVNBgnzVEfcn1MVeuYF7J63FjjNXbW7/iCdyRMLOXc3A//253+gwTOFEUrrT++duP+uhSIxxkNV0brnOpVUk4WTSdaNDMJ3PVh03OgQijymuZOOHH34YZ8+exYoVK3Dq1ClYLBY0bNgQvXv3RpkyZfSKkYi80L5zyUaHoFjyjeyiao0x4U1QJbiUwRGZ04bj2iXIH/9mC1IycvDMD9s12yeRv7mUnml0CKaxYJfziruv1p7Ei/fW8VA0njfwZy5vd0fyjWyUC1J0euSTTiVdx6RlR/HFM60QUrqE0eEYjoNEHP28Jc7oEIg8RvGnQunSpfH444/rEQv5gIzsXJQpyYMNAlJv5hgdgmKnLt++knj/Zxuwb2xvlCwuXJBLKqRkeN/fiRFy8vLRYPRyAEBcZLjB0ZDZLOLSzCI/uVjaHeTj7+lX2djfLYHFAowOwRR6To0GALw+Zxf+HNzJ4GiMx77NRP5N+Mihb9++SE29XfI9ceJEpKSkFP189epVNG3aVNPgyLzkJoMs3seGslRg3o5zRoeg2JELaUXf38jOw4x1Jw2Mhui27XbLV4ms7TuXYnQIXqNUiUCjQzAdNjm/jcvwbO2K875VA3rY5AMDnLR0KY3VzeRfhJNmK1euRFbW7dLUTz75BNeu3c665+bm4vhx9WubJ0+ejICAAAwdOrToNovFgnHjxqF69eooXbo0unfvjsOHD6t+DtLfd9GnjQ7BEFm5bIZp7+Ql531lzOjDpbbvLwkpPCgwUp4fNvT+Z/8F3DtprcPy5r/3XTAoIvIGx73w/dYoJQONrTTbceYqwiKiEBYRZWgc1urfqmIl4NjFNNcbkd/ZH59idAimErn8mNEhEHmU8JGD/VhZLcfM7tq1Cz/88APuvvtum9unTJmCqVOnYsaMGdi1axdCQ0PRq1cvpKfz4NBouTIns/HXbno4EuNduZ6FRmNWGB2G6VxM9f6EE6t7jHXUD09e/vvbPiSmZWLAzB02ty/ay+V3RFooEWjs8jvr/o3+eGHAbG7aTQAsbnBS1YwOJXC4hL9Zuv8Ckpz0ykzzwhYsRO4w/JPh+vXreP755zFz5kxUrFix6HaLxYJp06Zh9OjR6N+/P5o3b445c+YgIyMD8+fPNzBiAoDNJ1mmXKjdhDVGh0A6SUjxvySwmWT78ZKhmzmsXiXSQwkTJUVYpW68nHzbz5mNnATv4OHpm40OgTxoSUwC3vltHzpMXCu7TQBb/5GfET5yCAgIQIDdK8T+ZzXeeusthIeHo2fPnja3x8bGIjExEb179y66LSgoCN26dcPWrVvdfl5yz41sjuQmIn39zR6JRKSx4gZXmlljNbPx9tj17Ipm0oz83J6zIn3szPM+SuQJwmMOLRYLBg4ciKCgIABAZmYmBg8ejLJlywKATb8zUb///jv27t2LXbt2OdyXmJgIAKhatarN7VWrVsXZs2dl95mVlWUTS1qa/y3v8YRZm84YHQIR+bjzyf5V6bfycKLRIRD5PDNVmmXn+m81rVmcsmv8z+GZRK7xdeK+7Nx8lPTxac6+RDhp9tJLL9lUlr3wwguS24iKj4/Hu+++i1WrVqFUqVKy29lXs1ksFqcVbpMnT8ZHH30kHAepc+ISpwsRkb7WHUsyOgSPGjR3j9EheJXrWbm4kHITDauWNzoU8iKbTNReIupgIvo0r2Z0GH5t8vKjNj+zzRyRa1ye6b4LKTcRVrms0WGQIOGk2ezZszV94j179iApKQlt27Ytui0vLw8bN27EjBkziiZxJiYmolq12wcUSUlJDtVn1kaOHIlhw4YV/ZyWloZatWppGjsREREZq/mHKwEAK4Z2RePQYIOjIVKODdaNxyQZkXIBXJ7ptpWHEzGo211Gh0GChGsCAwMDkZSk3VX/Bx54AAcPHkRMTEzRV7t27fD8888jJiYG9erVQ2hoKFavXl30mOzsbERHR6NTp06y+w0KCkJwcLDNFxGRt0jlRCK/czk9CxGLDjjcnpTm/RNoPWFX7DWjQzBEQspNhEVE4dEZbNJNRPqauy3O6BDIRIpxVaGkfAVZ+D/3cCq6N1HU00xL5cuXR/PmzW1uK1u2LO64446i24cOHYpJkyahQYMGaNCgASZNmoQyZcpgwIABmsZCpFamD024s176zHX2xrmelYuQ0iWMDkNW/LUMo0PwOf9bdEByKWqHSWsRFxluQETml2M1WTXXT0tFfog+DQA4cJ7VSkSkrw+WHMaLHcOMDoNMgpVm0rLYp9JnCSfNjDBixAjcvHkTQ4YMQXJyMu655x6sWrUK5cuzfwmZww4fqXBYsDseIxYWVLrUrlQG565lYNB99TCybxODIyOzOZmUbnQIPsdZ77aHvtyE5e929WA05rf26CW8Nmd30c+nL/tnj8052+SHIpF3uJjqX8NOyDtELj9mdAhkoP3xKa43Ys6M/IyipNnKlSsREhLidJtHH31UdTAbNmyw+TkgIADjxo3DuHHjVO+TSE/LD140OgRNjFl8qOj7c7cqib7feIZJM3Iwb/s5jz7f2CWHMP6x5q439FFHL6YhKZ3LNK1ZJ8yIvFlmDqsSyFzWHr2E725VsZK4U0npqF/FN4o69gtULxfjJABJFvhn5bs/UJQ0e/nll53eHxAQgLw831muRuSKxquWDZOdxwN3PWw4noSBP+/Cx481E37MttNX8WTbmjpG5R5PT7T8ZdtZjAlv6tfLhTtMXGt0CERE5Af+2X9B9r6ElJuoUaG0B6PxHjl5PnJCIKgYc2aSfGUFEjlSdBaSmJiI/Px82S8mzMjf5PtK1ox0MfDnXQAKeoGIusTm7w4uX88yOgQiIiKf5yz50zlynQcjITNjzkxalg/1uiZbwkmzAJZh0i2+1PzeXb7Qf1rJpBdRTPyQljaeuGx0CERERESSzly+YXQIHsW8gLSrN7KNDoF0Ipw003p6JnmnsIgoNP5ghdFhmIa3vi7OXL6O+GsZsFgsqDdqmeb7P5/MCYv+IiwiCm/N36vrc1zjQYiNA+dTjA6BiMjr5LAVBenE3y7uMWcmbfaWOKNDIJ0IJ81efvlllC7Ndez+7HpWrtEhmI43Ls+8npWLHp9Ho+uU9S5HI6s9wNx3LkVou2QvS4bcNWoZXp29S9fn8MZpalEH9B2IseJQoq779zaPzthidAhEppGakWN0COQlvPCQzeOiXAy4mrbmhIciITML4AJNSXm+sASJJAknzX788UeHpNmlS5fw0UcfYcSIEdi8ebPmwZG5XEzxvpN5vXnje2OS1dLJKy56RTUYvVzVc2w9fVVoO29KxM7bfhZ5+RbdG+F7ejqlUTKyxf/tDya4nuRE/sFbq3tJP2euXDc6BNPg68M5Vuk6J/K5PG3NSQ9E4n0u+dmUa1aaSTtzxb+W6foT4aTZa6+9hiFDhhT9nJ6ejvbt2+Prr7/GypUrcf/992PZMu2XeRGZmTcenlrHPGtTrC7P4ekJi57w42Z9flf+aPaWWDQduxJ/7T1vdChey1XC21cdv5TucNv8HefwzPfbDIjGODez2Vu00MI9fB8ptPnUFaNDMDUu9Xeu3YQ1RofgtTYc96/lmZyeSf5GOGm2ZcsWPPnkk0U///LLL8jNzcXJkyexf/9+DBs2DJ9++qkuQRKZlTcuz7S+Es0yYnGxLq4eWSwWhEVEISwiykMRea9x/xwBAAxbsN/gSLzXzI1njA6hyKaTl/Hw9E2KqgfV+n1nvMNt+ZaCMe/+9No7dME7qy9PJTkmPd316w7/qM4V8eKPO40OwdRmb40T2m533DV9AzGpDCbjSRCXZ5K/EU6aJSQkoEGDBkU/r127Fk888QRCQkIAFPQ8O3z4sPYREpmYHpMn9Wad55u7/axxgXgxqWWl567dHn6Q7aJXnL9JvpGNzSeveOXrxay+N0nSbPuZq3jxx504lJCG8beSoXoSPen1dQt2OSYPzS4sIgo9p250O7lpsViQkZ2L44naJ+DIt4m2jnjyu21YEpOgczRE3ovLM8nfCCfNSpUqhZs3b/e02r59O+69916b+69fZ18J8i9pmd7XgJh5C/el3nT8d/fCokMh1omuxFR1PTtaf7waL/y4A/N2eH+SdtamMwiLiMKmk+qXYszadAbD/9zvE/2Hnv1he9H3v3thIsdb/emnSxK/2XAKdUcuQ9OxK/HgtI1+N7FOT77wfqSld3+PMToEItMKYNaM/Ixw0qxly5aYO3cuAGDTpk24dOkSevToUXT/6dOnUb16de0jJDKx+GveNxzBorATm79XB51PznC4LdELJ1yqUXdkFOqNWoawiChk5uTh3slr3drf2CXeX408IeooAPeWQU2IOoo/95xHj8+j2ZuK/ILaScz2pqw4bvNz5PJjmuzXUzJztH29j/zrIMIionA8Md3tCue0TO8ZzKPG2ats0E2kFebMyN8IJ80++OADTJs2DXfddRcefPBBDBw4ENWqVSu6f/HixejcubMuQRKZlfWSPG+h9GLy4n3+vUShyyfrHW7bespxiYcvDj+w/lvp8dkGw+IwC60rMWKv3EDk8qOa7tPfaZ2UIG3sPZusy36PXEzTZb96UTIx+u35e132yfxtZ0E/t0nLjqLhGPlp1xuH3+/y+dZ74WfYL9vi8MYvu5GV6/p13+3TDfoH5MVYaSgvVyLpv+Qt/z7nlcqZvd+rIeIiwxEXGe7xeIj0Jpw0u//++7Fnzx688847+PnnnzFz5kyb+1u1aoX33ntP8wCJSFtKhxf8tIVTI0V68CSk+Fb12eV02+mMF1QuzbSfVubNV/v1WH44Z5v3L1k1k89XHXe9kZdK98J2AIXe+GW30SGYgtSJ5mGZoQ7/HrgovF+plgGFWtYMQe07yrjcx0f/eF8l8Nglh7H6yCUs2uPfF/e04GrYkT87kOD4Gm1Zq4LnAzGRYhKlZiLvM0TeSjhpBgBNmzbFu+++i2eeeQbFitk+9M0330SrVq2Kfg4PD8fFi+If+ETkGUovJh6+4F1X8o3y42bfSi7O2qxNo3n7A/Gv1p7SZL9GGPnXQaNDMBX7xKoZzNzkW6/DQk98uxUtxq1Cs7ErjA5FFV9f+ifqqt1FBAAI/2qzqn3dsKpai4lPkd1u1svtAQDHPu7jdH/JGd6blHWWNAS8s4rO03ztGEZLWTkc7mRPanlmp7sqez4QIg9RlDRTYuPGjTaDA4i01mtqNMIiorD19BWjQ/EqrMAnEd9Ha5M0+2rtSZufF+31zwbmhXxpCYySpWbu6PvlJoRFRGG/k8SAtW82eG9iVs6eW8sbb3hhD7yjXraEUk97ZJapHjifonhfO2OvCW13Z/kgAECpEoGKn8NbFC5TlfJ99Gm8MnuXB6PxTr/ukP8d+jtnf1/+SqpqtlxQcY/HQeQpuiXNiPR2MqlgWusPG7U5ufcXeT500m6UU5d9e1KwVk27ASDah6fbueo3JOXEJe3+dlIyHKtWPGnNkUsOt73xy27NE4OFfase+3qL0PZbThl7IWXQ3N2IWHRAt/3/s/+CbvvWw0NfbjI6BAd5Bg24OXtVug/qf+btVbSfnbHXVCWCDozr7fT+sIgorxz+I9dfNiwiCpO9bFgEmc9pHz/mU0NqembpkuZJzMdduVF0jObukBQigEkzUuC8j/Vs8ldGnSz4kiUx3nXSqtS0NScUP0bLRJu3CYuIwr8HxP4mnvxuq2bPO2qxsctFz0j0wFl95BI6Tl5nQDTmkJSeiZWHL+H3XfG6vdf+97d9uuzXn+TmG/N+9V30acnblfbE/HO3uv6KwaVKuNzm1x2+0Wdxw3EuySTndpy5inFLDyMj23nVNNuUODL79MzuVsOrnA1JIRLFpBkJ+78F+4W2S/Wyvhgj/zqAsIgobD/jOBFRrTOT+mL8Y81sbjPLsiylgwDI/3y9XvrEzpkr1x37W/nT1b2354slMtI17O20O06fiYSi5JasJKapGxrhCzafvF3lZpb3fCMprcT0FG9/b9KzmvL4pXTd9u1JyQZX4noLb6ws1MozP2zH7K1x+Hq97y3p14rcxZ8AyQWa0vhZSL6ASTMSJtXAVorcJCiz+m1nwRXbZ3/Yrtk+ixULQNNqwZrtT0taVD8s3HMeYRFRiJdZEkEEAD/70ORVV42mAWDl4UQMmrvb6y4ckHZ+36n9hFVvdUnj5KmWia5tp7W7SGYEtdOMAeC3N+7VMBLyZj2nRqPeqGV+fywXJ7NsmoA0mWOfYgoqzUTPH/V0QqOLAfvOJcuuLDifLP13FBcZjrjIcE2en4zDpBkBADJz8jDk1z1YuMf9Jt3febjH2IbjlxEWEWUzScoMWtmNozbLhRYtrir+358FVYfv/+lYfeitV5Sycr2vwbaZSP1ZxcscQHgjkUmRg+buwcrDl/DZquMeiIjMaGecWHN2f7D2qLbL47Q66QGATC+vNBNVuVxJh9s63nWHAZGICYuIQrsJq1U91mzHgN7g1K3ewF2nrDc4EmNFHbioaPuSxf3n9PmaTMWmtxUo9v5ioyb7efybrXh7/j7JRLP9tHh77zzQQJMYyBi6vepHjRqFSpUq6bV70tjcbWex7GBiUTLEHRsNavz9wo87FG1/MzsPa486NrLWSvFA25eXWT5ftPygk1pqdizR+5Z2hEVEodGYFUaH4dWkmsLP267dxCmjl5CsOCR+UO1t1bZ6KGzAa0Qyessp764iImnnk7Xrqzpvu+f7duUa0Pfx9a71PP6cahU2W79yXV1Vyt8xCbiZnYeP/jmseZWj0QrfT8263NnfjHiwkdEheIzcxN+fFKwkMEtbGC1fP1JDXeZuc/65Ui2klGbPL6r5hyv53qERVUmzuXPnonPnzqhevTrOni34A5k2bRqWLFlStM3IkSNRoUIFTYIk/flC74d951Iw8OedmC84NrvJ2BV4bc5unaMyHy2nZ55KckyQ+cLfkqe8df9dRoegmZs5+iZHtOwFpoaS5VB7z6XoF4iXUZqM1qpS9eN/j2iyHzKPjSeVXZCb//o9ODHhIcn7XFUE6CHLzeq29MwcxdVU3RvdKXn7QRdTNKUcSkhFWEQU7p20VvFjRZxQeMHN/vgj31IwvffnLXG4R6cYqUBMfIrRIRiqV9Oqkrf74ooFLYY8rT/mH0M5VklcPLbW+a7KHorktutWnxmJbizrJxVJs2+//RbDhg1D3759kZKSgry8gjeIChUqYNq0aVrHRx7ibWW2cjYcv2z4RDk5Zlm2qGXFTk6exaFH2t/7EjTbvycYdZBTo0JpDH+wsSHPrYdjF/WdLhV71fMnudZEk/HkSLR/1NZTV1B35DIs3e/+dNofN/tOPz1fpfSzKEdh0uneenfILqMSWW6ttcKlcGpkZOeixbhVaPbhSmQquEDROFS6t2p5gSma9iZEFSSi9Rr0sfxQoqLtM7Ltfg8Wi+aV7mcN/twBgGUHbaucNylMHuvhVwMqNc2kdqUykrdfSDEuKRETn4JeU6MRrfFqnzlb49zeR4KGVcLu2hlrXAuFUAMqzazdO5kXE9yhOGk2ffp0zJw5E6NHj0ZgYGDR7e3atcPBg+ZMVpBreS7Gr3tbqbuRZajlgopL3m6OlJk2gwCs2V+FWrDb/b54nqR2KYi71gzrBgDYPvIBQ55fTpzKCoy/Y9xPdDizm72ivNZzM8WGrAyYVbDE/p3fxCaR+rr4axmKEiTepN/XW1B/9DJF/39/Kuy5WkxJp2qdPTx9E578bqvqx8/ZejtJcUTnCxRytp/R7z04IeWm4mS5kul9rhyQqbzr9ukGzZ5DrSG/7rX5+cUfdxoUyW3FA83z2lLLnQvZAQEF//8hpW2Tz3q2fHHl8W+24GTSdbz8k7Z/H9fsmvhn5uRJ/u5evLeOzc+VywUVfX9ZYrq6UYwceuHpXnhmSPr7EsX/erGxsWjdurXD7UFBQbhxg/843mrbGeeVANPWnPBQJN5D7ir58ne7St6em2eOtJnWH15XFOzvz8EdNX1uLUj14vKE0iULLjqEhpQyzVQdi8WC7p9tMDoMSdPWnDQ6BNPxlQphKWapzDXKscQ0dJ2yHo0/8M1eizHxKci3ACsUVhepIfeZ7ClDf9+HQwlpyHHjGOCTFcc0jKhA49Dymu9Tjb3nktE5cp3ix9m3mlD7213yVmcEO6m8Yy8gR4EmSUi70yfwYIL7vUfr3GFbcTZ93Sm396mWXh+Z1heWZ248g8YfrMADn0c7bGc//OyxVtWLvv/NR6ZK7z13u79bjotik0J/vGnctOLdcY796BJSzFP1520UJ83q1q2LmJgYh9uXL1+Opk2bahETuXD68nXc/9kGtJ+4BgMEr+C7cijB+ZVLb3zDc7YOPzVDeoSyfUXdjjNXsT8+RfKDWa4pcS2Zsm25UcSetOPMVYz8S9uKUCWlzu3qVNT0ubUw18+XGViL1OHETCvXvWwyWrIHRqwrSVh7m7s/WmV0CIaaten28lItTtqNHqQhJz1T+rNYS02qSS9R9BS9q3DVmtCvuex9FosFrcav0uwY05kfotVNXF8SY9sK4kaW8qrMFjVC0NLuZJ9cCwwwPmk2ddVx1B+9HC8qHAJW6LoGfVIfbVnd5ufUm/q/n+nN2bnTxGVHAQBnJFYktA+zHf5nnTTzFf2/uV0t/LVggvSeeuaaVvy6H/by1oripNnw4cPx1ltv4Y8//oDFYsHOnTsxceJEjBo1CsOHD9cjRrLzwOfRiL1yA5fTs7D19FVDenN4gwajl8ved/m69HLTm1Y9MhJSbuKZH7bjsa+3oL7EvmLOpyiKR8sG/ErtjL2GgT/vxDM/qDsALmwAbN9bAwC+3XBaaB8ta1UoKmk3E3f6zPia71WevPg6NX3vfOHg2VP+3B3vkBgyevCD0RYqXIroivUVcjPRK5f3u4FX971FWOWysvfN23EOKRk52CrYj9AdKw47VhuKDGqwv/h5PjlD8YWEv4Z0Kvr+y2dbKXqsPwss5tllZlK+upW02HTyiqrHXxG8sHXVyd+UfXWVL8iW6R250UWvtFqVStv8fIfV8kxftFtmqqjZHb21vP/kpXRDl6p6I8Xveq+88go+/PBDjBgxAhkZGRgwYAC+++47fPnll3j22Wf1iJFc2O5iaaVSWkxKMbv5O1xXzm13cbC4QeE0GLnqNk94+vtt2HBcfXPQh6dvBuDYWwMATgomnf62Ojj1d1XKm+tgIikt03RLUCY93sLoEIpELGK/Tnta9kYcvvCA5O3e3s9rjYH9bew9+d02o0OQ9OuOs0jTodrsXpNd3Tejyk5Oaj/4+1DR90Yslb7fRZuA/HyLw/I6NVGWCLx9GtSneaiKPfgno3uaOUtkiZq3TWyVgX1yxLqCqmZF6ZUlvujDpYed3m9/UbxyuZJ6hkNueG32LvT6YiO6TlkvmyQlR6ouFbzxxhs4e/YskpKSkJiYiPj4eLz22mtax0aC/qtx0+TTl32/8uanLa4nq9lvY5+R/0tiSmTDquVk9/fZquOC0ZmbmhOce+pWMmWVmVGWvN3Z6BBsdJikzUQdLZeAVatg7JQha4u9bCKsJ1y9oX+Fc+MPVmgyucsog+c5XmTwlN/e8I5KqxOXrqPHZ479cbT273+7CG+bkZ2LsIgofLbS/c/ssUsOud5IIdFptO/3aqjJ85mxveD3G884XLBzN86g4oGuNyIAxvc06/fNFrf3kS1YIGBf9Tsm/HYrIqOnIQK336+s7XJjcFK/r6V/t0qrv416PVksFmRk+3eluitrrYo+Um4aMwzNGylOmvXo0QMpKSkAgMqVK6NKlSoAgLS0NPTo0UPRviZPnoz27dujfPnyqFKlCvr164fjx20PUiwWC8aNG4fq1aujdOnS6N69Ow4fdp7tJvcsO2hbKv/7znNOt//4sWZ6hmOYwxds+7x1nbLe5WM+fET+d7FLoiGjN0q5oTxp9scg8w0AMFK1kNKuN/JC9UYt02xfrWpW0GxfpD3790dX1C4DcHV120w80cdOVMe7vKfSyhO9+ZrXCBHe9tlbbQxmrD8ltEzQmV8Eq1mU+FQwmfdql7qaPJ9ROTNnfSylkun+PjzEk4obnDSLv+Z+M/N8wb+X1XbDou40yUqBIb/uQVhEFJqOXelw31PfbcNXa0+q+kySWz3iLT1UX/ppp+TvhJS7ej0LX609yeEBtyhOmm3YsAHZ2Y4vwszMTGzatEnRvqKjo/HWW29h+/btWL16NXJzc9G7d2+bKZxTpkzB1KlTMWPGDOzatQuhoaHo1asX0tPTlYZOguybY0a4aBz/8N2OzR6T0qR7hhnttdm7dF2Gdk/dSq438nL3feo6eSjqppcvvyL9sDDR3I4oTJplZPv+az0mPsXoEAjAZ0+1dOvxB87fXvbXZ9pGd8NRRYsEUNmg4qoeN2+77YVSo5JRzT+UP/GVqnQSTYJ4E3eTtnqR+v2n3szB/B3nkJJhnosHzmjZYsAI9gUO9qauPoHWH6/2UDTmobbHnRyLxYIFu+JdHvNIJfmHdL/L6WPM3oKi7YQ1mLr6hKrpxr5IOGl24MABHDhQ0HfkyJEjRT8fOHAA+/btw48//ogaNWooevIVK1Zg4MCBaNasGVq2bImff/4Z586dw549ewAU/KFOmzYNo0ePRv/+/dG8eXPMmTMHGRkZmD9/vqLnInEiSxcLxU7ui4plHdetb1cwUdGT1gr0Ibue5VjqLKp4oPHNUe154k15wa6CHnFSfdviIsNlHxd1wHGwgLe44WXTHL3JoPvqIaR0CUNj6P/NFoRFROFiqrorbFqdwD1/T23nz2PQgf/X68UmRxW6odNyifZh5pnIK9W8X03CYZ+bTfudveealavfk5Ipm0+2reluOEWyDOr3kpNnnhN6PSORmkxuTcn7m9K3wjHhTRxuc9bnzQhmaNS94f+6O9wmVWnW8qNVGLX4IO6drE27B73ZJ802HFfWp1iOJyZ9KxlO9Odu1z2cPenajWyERUThzV+8Y4rjysOXMGLRAfT9ynlhUOxlxwT3K52dV/ueT2YFlzcRPsNv1aoVWrdujYCAAPTo0QOtWrUq+mrbti0mTJiAsWPHuhVMamrB1b1KlQqqdWJjY5GYmIjevXsXbRMUFIRu3bph69atkvvIyspCWlqazZcv8cR4diXk+lSNclGdZgTRg6/HZdbze4vzyRmYtelM0UnIsUT9qzJHLCpIqM93sZTX3vcbxSZv6sWd19OsTeLJZX+iRRLnqXY1De2Bl59vwd5zKQCAjpPVXWGTmjSr1P6xvTHx8RYY1qshRvRpJLnNqiPGNJtXWjm2eK+2feEqlS2JuMhw/DlYfsBIWESUR6tkoiT+zb9ce1Lxfh7/Rvr4RoQ3JswAoO7IZU7/rS6kaF+9fvaqOat4zMZiAZLS9Vk94KptxfZY6f5tUsuFlL7Un25fy+G2xTIDi+QuPoZFRKHZ2BXKnlgBrafoqiE1ZbWYk+WZmTn6Jpq1ek+3T5oN/HmXJs+1SWLKZH6+BcMWxODkJW2Ox7efES9MkBu0o8SWU9pVb7W5Vf2mx7GLaL9HJaasPCa03YdLHftXGr2UV2RqdoqBQ+q8jXDSLDY2FqdPn4bFYsHOnTsRGxtb9JWQkIC0tDS8+uqrqgOxWCwYNmwYunTpgubNmwMAEhMLSk+rVq1qs23VqlWL7rM3efJkhISEFH3VquX4oejNzFRN7Ozg3BNXWpQSbWDvbBqk2UtpAaDLJ+sxIeoofth4BgA0+5B2xWKx4JMVYh8uhfQ+uHKlxbhVqh/7xZoTGkZiS8lVRHe5utKveH+33qTcSZ7VrSw/UMMTVmsw9fB6lvv/hiFlCqrt3nmgAYZ0ry+5zeB5e9x+Hk/I0zh5tWdMT6HtLqYa2ypgncIpy+74523xZvdmdNzJZ9VvCi/ISPng4aY2P0v15fOH6eFKWWDRrSr8uZnbnd4/YOYO4X1ZFNbEBZdyrGauVUl6GqJUxdc9k9YAAG78f3v3HRXF9cUB/LuggCCgWBAsgL1XLNhQYyex/9SYGElMUaPRoCagxqBGJCaW2KOxxdgSSzQBEzGCvQuW2BXsSGyAItLe7w/cdcvs7MzsbOV+zuEc2Z2dHda3uzP33XdvTr7JMs93nrlnkv0ay1FrUmvdUflr9+kj10SwkM7vf0oY9yM5usxXnRSLbafvoss8eZZ7bz5h/OehGO/8xP8+bFqllMF9NJm+G+kvTBugMfR5IsUNjgwyLsqJVmuy/pjhcdJVpjFZFAgOmvn5+cHf3x8FBQUIDAyEn5+f6sfHxweOjsZ1yRg9ejTOnj2LjRs36tynnXHAGNObhRAREYH09HTVz+3b1pWWairWkMJt7Xad51//L8Svr9KcpZ4gHZZxtkbdwB+PIEQrdXjWrsIAlrku2oauPG6W55GLnF/eYoKpYQI6mj2XIeAiVMoj03x2jNucJPmxlu7M9dXvxne8231B9/Mm3owBFGuzQcDJm1DHJr0hOBPR0vNM6vWxTK1BJc1i96Vdzb/E+fHzHMz484Kk78ijPFkCawR2Ud0TFqz3vsFamUWrOUpRLEuwbPazXH4Y3Fi2fTEGTPvjgmz7E8s/PAYX7xteNSK2u5+xHmS8Loxur/VZd+rp9K193iDHd6ZQ5uxmPWZjotmeSwxD9cy0CalB+iInH98JzKrSNqEbdya8uidZuTrXKf7hMXhkwQYDgd/EwT88BiMtOPlorckYR2/In7Vn60QXYPr55595f6QYM2YMdu7cifj4eFSq9LoWRYUKFQBAJ6ssLS1NJ/tMydnZGR4eHho/RcH8PeKXgBQ1ETIsGZ26o7CT2zE9SwYMGWJgtkaKtIxsHE9+jH/vZeDUTc2U7aM3Hpkt6+8gR0Bw2btNzfLcUjSaJj3LTBtXAE7fzOvH7aty3t64cinZjkeMS6mmWcJurTPkQqRlGn8SxzU7+cBKG6RYkpRizN4eLhq/fxLM/Z6yRv/eSzfbktHu9SuY5XnUNZ0Rh5UHk1GPp4i7PpEyBGaql9efpapdGJ9rifGcONNlEJtTSAMf2fZ19YFuRo65ayn2+MFwozHtLodyuvU4C2M3JSL1VeZql7n7NO63VO07U2uop4u1HJmfUilXUVjCzL71LfbcxsgyUFOUMYZ2s/dicby0SYOWAcK6NXPV8Ppyq/HLR8UY/9sZ+IfHIC+/AA+fFTatMDap4paIyef/adXcrP2V6ZZ3G0PZRZq8Jrq1ztixYzV+z83NRVZWFpycnODq6or33ntP8L4YYxgzZgy2b9+OhIQEBARoFswLCAhAhQoVEBcXhyZNmgAAcnJysG/fPnz77bdiD92ubT19B3MG8neMYoxh76U0BNcsZ3TB+tWhzY16vLmkpmejgqeL4Q1fEVq8W2gAztvDWWM20hTUZ/z6Lz2icZ+lP/S61TP/RZsQhk4gxDp9U7NuwN5LD/TOvLoU587K9VArfH/q5hN0qcs9MSC3Q9fknU0qYMykHWpt2bJ9wk9IuQLOW0YEYcCyIzq3P3r2El5uThatAyfVz0dSRG2/aEgTndtGd6yOH/dZ7kJKqE/Xn0bMufso5VocSVO7Gn6ACFwdI9vVKIeNx19n2z/IyNYJOJrSpO3iJ6r4VhLIjWt5pr2QsynRW4sO6tyWk18AFwfjVphILQ1giW6ew9cWFi3fkcQ9GWTu5Oiak3fhysweRu1DrgnVovR937+p+CYja0Q0VzMVQzHuDt8nqAJIUhizOuCWhVZKVZ+8i/f+9KxcNJrOP7nOGMO1tGeilt3W9fUAbKOqBtEi+lv1yZMnGj/Pnj3D5cuX0bZtW86llXw+/fRT/PLLL9iwYQPc3d2RmpqK1NRUvHhRGIlWKBQYN24coqKisH37dpw/fx6hoaFwdXXFkCFDxB56kZGano1O3yfgnNaykICIWAxfe9LgB4UQ7WuWM3of5iC2i0+nOfsMbwQIDoS5Oklr+S6Uf3gMBv6oexFtLbgufrS/XOWuqSWEXPVZPv75JLJz83VqWIz4RbemhSENKr7Oiv1PhkwnoeSeMTZ21uxspLzBBGsiZils9/q6mSKN9GQjNvtmDwIiYpFjg9kOYpd9vdnQV+c2d47aRNbk7J2nOJHyWNUowBSFd7k6RgZoFfDekWS+ZU1SBUTEWvoQipQhBrrzmlLHOQmiH8MYs8ox4mDmCYuc/AKjl7U1nR7He7963eJu9XQn8RhjuGyGRlOWcuM/3QxLfZOefOTIoDWWoYSAmyYq01GpdAmD21zhyGSVQs5awOuO3jQYMAMKv6/0Bcx66Mn0DjbT9bMpJhdqTt4F//AYk9ems1ayTEXVqFED0dHROllohixduhTp6eno0KEDfHx8VD+bN29WbfPFF19g3LhxGDVqFAIDA3H37l3s3r0b7u7uchy6XWo16x/cePicc3aQC18HKX2de7QDH1xBNFOu07a2LqIAOLvbtQzw0rlNrpMMW53d8y+jWWh3hQW6UMrRTQgo7P4TLlNqeetqZVX/ThTQ8cYeJc/qyVmcmRQqbiB7pOYU4ydEiPx6LTqE/3FkCMqlYy3uk/Ca3prnSVGx0urV2Iql7xhXDsASGUyWNijQcs2ybj/WXaplyD2ZGntEvlVX73366njxsUSO7yAjVxLkiJiwjOhRR+e2gIhYdJtv3iLi/ZaYr7u90El0PtZynm6pBicz+ph2Oat6tqScjcXkqNH3aUfu5k1cq59MMU6MaYLEtfx+8vZzqs8MOcvb2BLZ8rcdHR1x7564GjaMMc6f0NBQ1TYKhQKRkZG4f/8+srOzsW/fPlV3TWKYkGVo+gpKvrnwACb8dkbQ80wJ0f1CPZYsvCWyWKaaFREiVc8H0eDmujO2XDMK5j7JEGvxkKZoqFVQWk7vt9Fchi2246a1+V3Pcg2xypZ83ZpajqYVpvbrJ0Gy7u9QeCebXF5oCupjgbzG17HZ0szZ8Vbb6vdbcN7Ot2TmyPVH2P2v9X/OiNFDQB2vlcMC9d63OP6anIdjlEfPpWcRnRGx9LeGt7ROxdcEdB40hf1X/hO8bV6+/iBoP47MTCV9dbx4yfzVNXn7OQwx0AnQmP8DsQFif62sVUsxV4dCMZP+AwPFL9k0N0s16mpbvazhjSTyD49B/a//VgWcDl41TaM1qepX5L6O0rcC6dRNeSfLZ/wpPcNx31Xdz1khnTjtneig2c6dOzV+duzYgWXLlmHo0KFo00b87AyRD1eni7pT/0Z2bj7vmnp9QYvzd4XX+9Ce0QaA6yY8qeIq4MtHzqw3fUs+vdycdG5zLs79Fovc+a9sxyOncZ1rIKShD94x4ZINdxfTLlk1lUPhnYzeR5vq+oulqqexm6t5gzFacGRRGqNiKcNp/EXFiclvWPoQeFlrtydLWiFTcWqxr62U982LnHy8veIoPl53CmmZhZNAHb6Lh394jN1nW3WqXV7vfd/vtp4mAJfuS89I9xTRNVVqCQljshiMIea88ieeLHZrzmjOysnD+mO3cJinm6yx3jCQRcVVO9Ke8DWySE3PFlVmIrgm92fKuyZo/AXYVkasoex4qbgK759IkSdRw1LdPPsvPYyfDhh/HrH2cAombT9n1OT7+6tPGH0c9kj0t2WfPn00flcoFChXrhw6deqEOXPmyHVcRA/nYvo/gAYvP8qZcp7y6LnOmvonz3PgWaI4fj15W2d7uRR3NF3WyOYT4o47epdlspn0dZRZczgFkb3qmflouKVEh+DKg0x4u7uoTrbLuJku06V9Dd3sO3MWfxbCQaFZOPVsZFc4ynB8M3rrz5Lle29bK4UCkOP87UZUT+N3Yid+/qCFUe+FLafucNa3klPC5TSjHp+dmy+pNgyfdcNbGJxNf5GTjxJO8j6vktSAS15+ARwdFKr/80fPxRVjlhLM76zW+e/24yx4uBRX1dv7+98HkrtuWnKm//RXXQRtZ03fM7YsJ68Az1/m6XQkFSrlof6yIHx+OcbdlZrL5Qe2WW9Lrpqr2pQZOWveb44bBl5/a2ziJOdkzZrDKZy3Z+Xk6Z0YH9e5Buft+lZmcHWUl4PcMbM/jOx03kFPeQCx0jKyse7oTYzpVANOBs6H238Xr/H7+bvpejvWi5Vtwdqw38RcxIftjOsG/rWEpIz0F7nwLGG9EwnWQvS3XUGB7RUaLkq4Ck4+y9bNWvlu92VcT3umdwmldjttKRwdTBcE2Hqau9Yal4fPXur9gjQ1YzrKmJN2pmB5D+ODZsf1ZMtwZd8FRMTi047VMLFbbaOf1xBDs3Qp0SHIyy9QNcw4NukNeLgUx3MZsr+0C3Ork7PbmSkNC/JTBXyLOSiQy7MERigHG3mfmNq4zjWMbrIy4bcz6N+0okmDA1IaXQDAsFXHsU9tedWRCOEBH0NLM1tV5W95r7xg7FynPH4aJm/35yciA11Kaw+nqE5wlX9f8n/Cgwn6apkZcvepZi0p9RqP0//4V3LQ7N2V+jMrzkV2RYNI09VB4cr0FqKggMHBQWGSmjJiM0LEdvvmUr28tOWWYn26ofAz4NKM7pIC4PP2iA8yW0t9KFOTq+aqukNqAZxQAVkkpsoQkuplXr7RTYbUHeFYmQPwF6Uf2aEa5+0+HO9ZrkwouRgq6i+WsUutRwRzvy5itYgqDFbe+O85FousTxm6+gTyDbUIFej3ROtvmCO3nw+nYMwbhUFhW8pkNDfr+lQkJjGAowDxhmO3eGuOXeX5EHUVOFNfzISZZmLIVahdCmvMHhrcvDI2f9wKgP7Z+bo+Hpy3i1HenfvkX99ykMXx15GWYfolH++t4s5GSYkOUV24FnN0UP3u7WHcRYw6W8xyUB8j/07rhmm966v+Djk6hiVNFZYhYi5C6kDKqWo5N9VYG9e5psHt9XVkUhex7Zwchya7fVr1iIJm7ZVt3/ou8hhjGhfbey4alyWn7eqDTDSZwd+FjktefgHnjDBf4EmbvlpmfLia6KhnGshVaF2bKTucGlPrruqkWKw10aRaxgtxnyU/H3l9HFILd2/8qJWkx0m1U2JNzx0y1QI1lTn/ayRq+xsigt3mlp2bj2l/mLckSOy5+/APj8E/Fx/Isr++iw/Lsh+luAvcx8UXkHIuxn3twzXhqZ0JpS7+chr8w2PQbra07z+ZYkMqSxOuG/X4QL/SvPcnzxK3kkDZZVqMhzIuqfzu78tG7+NzAedy+hzgqCdmanPiXk9iWGN3YmshKNMsLCxM8A7nzp0r+WCIbfiap+uQumJWkj0i90WSGNYYJInsVQ8uxR15LzQslfWUmpGN8jIFqdrPjsetx1n4+YMWGtk7BziWEFlzgXFL83Jz0vv6FHNQwNhTlVKuwjNEzLGM99EzaVlDXF7m5atOtM/cfqpx3/oPW6JR5VJwE7lccFqvegZrVWw6cRs3Hj6XvVkDAGRYoHPxbyOk/x1tv9V/8SIHfe3mDdluodnskVpZggN/NK4Dn6Vcm9lDtu8pKctZhLiUqr8u7I9Dm+GTdac0bluScB1fdK+NtMxsfKx1n1Dl3M3bRGTLqTsY2NxyHTilmNxTt3GVtv7NKmG8wEZYQGF5lBtRPY3OmpY7my4nr0C2DK1hQX5Ye0TYErhR6ws/Z4avPSnL+dWNh+ZpPLFHTzBNTsp6Ubcfv0Cb6L2il9gzyBs1E9NFlYuhz2FLXwelRIfg2cs81P/6b7M950ftAwxvpMfQlcctdk2SZ6Euq7ZCUNAsMTFR0M4s/cYoCuROy5Wid+OKnLe3q1FWIyBhK0sT5TC9t3XUJxNC7lpC1qLHDwdw8b7uRYoys4wCY+Kd+Zq/C5u53+PqM2ByXKBwiTUwy7n78/boKjBQUmvKX6qL+96LD2nc17paGUnfmUKDyseTH+P24yxU9nIV/Rz6PMjIRsso7novptTcX96mE3JJz5IeQNRegsUY483w1nblmx6Snle7zo5cS1rMzZwTO4wxrD2cgo61y8OvjPAugsv26c/g4GtI8O0u4zMdzOW4TMW3zenDdtIvaPnk5BfAxcG6zq+StCZrjDG6Uw3BQTN1WTl5khtOmNsSI7OuxNJeKi8E32VgSnSIqMBrjgXrd5lTSYG1F+X6PrTm8a68FuIaJ8qyNISboLOO+Ph4QT9798q31IJws4KYmd6gy5fdNetRFaUg6uDmpus2KSd7DhxxBczU+YfHcH4hCk0dNzbYeOCLjkY93hIMFQbt19S4gvNv8Fw4AvwFZm89Nk3NEL622lXLunF2CuYzZmMi0l/oBlfM8fn4JEu+rDkAvAEzU322iF3aYU6NpstXo+vjdafwP45SCvoYKpRsbsounKYgdamiXN6Yuw+Rf1xA8HcJov7O+Mv6l9nwLSdOfyHv+9aQpSLrB9k6oZ+9KdEh+OpNYSsrAHmXiElx7MYjpGotr5ayPFLfuYrULMbu8w9Iepyc/st8iVm7LiI7Nx/bRNREtkZyJk88NfNnjVByZfyJPS+J3nVRluc1RF99PFNT/6w/OaWzxn3/3ks39+HYHKPOuu7cuYO7d4tewTxLktqpyBy062DJ0W3QVpjzAuaPM/esviCutQaIqk3SXasv9ATa2KwquTJ+zFWkU8jJxuddpNdtAICVofwF2Q0F1UyBLxi3d0IHAOIyS3edT0WjaaYrgG4uk7cbrpNmisCZmOBidyvs+CZU3IUHnMFVLj8Mbix4v2VLSiuQLxbfsubhbQszez6SmOHzQKvW5foPW0raj1Tq9ap+3HdDtv024ui6t+G4/qC9Ib9/2kbS46yxU6K1GN42AEK/+gcZudTZmKVRl1MzMWj5UZ3Oj2vV6uQJJWd2MlD4neofHmPS81ZDGVPNZ+7Bj/tuoM/iQwj7VfiyW6UNH5n3M4ePvmSoFgHiMrL9w2PQYqb5M8e5aE9of/jzSaP2p16jWIwVB5KNel6hhgX5m+V5tPVo4KP6d9mSmkHwkAUHzX04Nkf0lX5BQQGmT58OT09P+Pn5oUqVKihVqhRmzJhBnTXNpJmBoouWor1UqgjFzMxqzEZhy6UtSe6TrqKIKyvOPzwGARGxklLIGWO4lpYJxhhy8wtkOYk1pkX1px0Nz7R1quMtef9yU58ZfM9CJzxKpqhVZghfBl6I2omYnMSe9E4VWG/TVkwJ4a69pK9EApexrzpimZp2kwd14zoXHoOYLmt7Lz1QLV16kZOvcV/ravydUk3pv0z5som4sg0mbz8veX+NK5eS9Dhzdy9+LLHbrKXcmCXsc0jKUjt1xtTf1Rccy861j+syQ3/H8v3CllVeSs2U9PxBBrozz+xbX9J+pdCXaSbmvGDFfnmC/3vCgmXZzzMZutMb8k0f8/0fGWJsl2RiGaKDZpMnT8aiRYsQHR2NxMREnD59GlFRUVi4cCG++uorUxwj0WJMVw5zmiQgM0GK72XobKJUR4YukbYivEdtwxsVMbvGtjP5c9T18ZA043X2zlON39UDXGe07hOiZdQ/6Dx3PwIiYjFucxLvtr0a+Yrevxh/j2uPid0Mj8cybqbJklEGDP3DYzBUYLdC7eXnXJ1nL83oLsvxGSJ2RlmsWlN2wT88BrcFLoEVs4RJiL3jgyW9Z3xLlZD1OPiYI+Ozajk3DAzUXAIt9nXpKmMW0dOsHNX7RvvziY+yc2aZksKWd3294zw+WHMSbaILS35odzMzdmmzfxnpkzo7zxjf9VG55LhDLe5MWks2L5LCPzwGKw8Kz9BoKqHbrFx+/kB8x1kAKOVquu6vSrP/viT5sRt4JjWsyf104wKL+ny/+4rhjYxg6DNnYKD0Zhhiv0u4Nu/T+PU529aRrQ3uY2asPMsQq5cvKct+uLLx5a63OaSFbZTRIdZLdNBs7dq1+OmnnzBy5Eg0bNgQjRo1wqhRo7BixQqsWbPGBIdItLWtURYNOdL6zaF2BeH1fJ4aUSSZz6L4a7LtS46gyfKhzWQ4EtMTM8tfVJg6aJoSHYJYEWPsuwENVf/uu+R1i3XtkyopF+xpahkSMWf5i90veLuJ6P0LdWlGd9QS+DliiqYV2ss4Dlx9yJtxpy/N34sjoGdtTTb+uZgm6cTz5avXqN3seEEZieqzpsYs0VzwdhOkRIegajl5TsRNKf4yf2BDjqWqraqWwewBjVRjUMo+vWXqRgwAjae/Dnb0WnTIZMut1IuNX0rNwG6ZO9rNH2y6zzc+B7/siBtRPVUX4Nb2eWGMGX9eUP07IzsX3/19ibd7qKWod9IWI2kqf1McOagvA5ZDgYTP/rkDG/HeL7bTo7bNJ24b9Xgp5MwO1UdfjUIhAiJikXjrieDtu8/XbUSk/pnWtEopycdiKlK+u345Kr7pBB9zZdSKKZ9gTu5WXN7JVoh+lz9+/Bi1a+tmCNSuXRuPH9teFx1btXN0W3z/P/4vN1PY9HErsz+nGJFv1cXVmdK6imk7NukNQdsZmskPbe0vw9HYjlNaxSW5WFOatNw2fdwKO0e3kXSSENJQc5mbMttHvWskAJiyLrZc7x99rPVC8c2F4osVp0SHYOWwQCx9p6nZm2ysG244Y+KHf65y1vEztb/HtQcgflLirYamWeZpDH1F6D9Yo7/myp9j2sry3NbcgUspIII/cKadtXpc4PeqkimKiEtdxmisSqVdzb4UUqj32/gbvY/9r5bo9l50CIvjr3P+32XlGF6GdWF6N6OPxRSm9TJcy/L5yzw0nRGHjUbUpjPWyoPJYIyhsYRGJYaa+1Q0Mpt3/p6roh9jbIfHKCOzqkqbIctQfZKUC2NMNYF1P52/GYmhrLiDVx/y3i+U2HOeziLLbXy9819R21sLU6/UkOrXEbrLdzd+ZN3X9NZGdNCsUaNGWLRokc7tixYtQqNG5g/iFGXq6bjmUsqVf7mUdrFMc7ezD20TIHjG55fh/IU95ZqhN1V7c0PUu85tMGPhZCFLcHrpGbvKBKoXOfnwD4/Bh2tPyHloZtGqahk0rFRK0mO5LpLbzY7XuS3PhPUjjZkx5XNhejer7t56/q60rIg36nhrFFc1l3Y1pGVMmEOtCu5IiQ4RnclpbR2X/cNjUGPyLtEZVfUrFmaC20oWsrZrac8Eb2so6VU7a7W8jJlvljJnt+ESEdf/03wNA/XUopVavF9uU2VYYv3equNgjCH5of6MqbpT/+bdx5YRQSYLFhtbe3GYgAnQel//jcfPcxCxTbc8SX4BM8s58Yw/LyBkwUFkZJu+TpQ51JyyS9B2+jLwtyca17DucLiwQL+xX1983zNLEvTXbNPugqjPzUeF78t3BZak4CNl4vunYYFGPy/AXz8TAI5E6M+GLMmTbXXm9lOd22p6i896F3oeU8zMEyhc52NBFqwPaotEXx3Nnj0bq1atQt26dTF8+HB8+OGHqFu3LtasWYPvvvvOFMdI9ChmootbY2gXyzR1lsMn7auq/h3Vt4Gox7atUVbvff9Ok2+m09iZOakUCoVqSU/r6vr/VjkJnSH2cOGeueu9uHDJT52pfwEwbW0Xvi9Wa2eqE29vD/Et5YVkE12P6mkTWTPm6korVzOXQUbUUTGXauXczPp8pqr5qRwbz17mCR4nXepaTyMLMTrP3Sdqe//wGETv0q3HpG+ZSjue715bsHDvNWTn5vNu88Yczdfwi+7cNRzlynoz9vpLroD1sWTNFSfqgQwh3SED/U1Xr3HREOOX5d6I6ml4Iw7pL3JRbVIsqk2KRWa2bukS7WYXxrpw33RLY80xYX/q5mNkcLxOSldn9kAtb80yDwevyZNBpa2Ek7Ds+GSBDSOk0K7rqE67C6I+wd8lyHQ0wLut/CQ97vI3xtd9HbbqOO/9Pp76r7kSJnbQe1/vxYd0bts+ynSTGvu+6Chou7WHU+AfHoPfjQz+ymnN+80tfQgWITrqEhwcjCtXrqBv3754+vQpHj9+jH79+uHy5cto1870RbWJdOXdxV8Qi8V14qV+gbHh2C34h8dgroCZWiHebeWHA190xKUZ3TGkpbQij/V8daPvbgLXfgsp/G1t2RNCaS8rVc9cOxTeSSNr6EZUT6REh9hEYESJ74tVqq5mukgeupL/pEGqLSMMF5DVpi+byFXtRNPRSpckmcIHbQxnlsqR1QEA36rVwJOL2Hp5ys6I+pi7jMCYTtVNtu/s3HzU/5o/U0b9c1GhUEi+yLY0OQLz+rp8rhveElPfrItZ/cRNdFkTQ0EzbaZeEno0QtyyV1MZvPyoxu//PXuJ9cduwj88BtUnC8sYMhU5zsUcHBSoK6EW6o6k1xe8Xefp1qRSThTy0TcBO/sv6Q0E1An9rDK2JuCU3/U3CVMuQ+y/9AgaRu7mnKAY0rIKijs6YL5WUN5U50ViSK2Zp5SilaX51/n7ZpvMMwfnYo64bsHvRKEBRiWh14JSCE2oUC5TNdTASyoxtcqVWlez7YkvqSSlKvn6+mLmzJnYunUrtm3bhm+++Qa+vta5hpe8NndgY6Mer909TgzlWnxlR80Fe6/J8kVQsVQJVPZy1amTZCiLSK4LGWPqM82LM223H2ON6qDZOEA9c035Ya/83VrrtOhzNtI0RX37N+OvByIn//AYPHz20uh6H+oqlZYnkFi1rBuci8mTCauvqG2H7xNUyw1MxVBRZC6TQ+oY3EZoIwRLENtj4rNO/EGzJlWEZdXFfCZPHTBTfhbV/kr/he2/07iXHzs4KOBj4fby/Q3UKeJy4Z5xmSqGgqkftA3A2xbsZvaWkXVncvM13yjqHXmvPsjU2d6J5/NQjmXrcix7VZ8Yk0uLmf9g8vbzgrZtqdYVWEhtVDHkqjMIALFj24muATd1x+v6TGkSC9NPfUt3suXvf1N5l+6JIeaz08+IDrS/HOWu93bv6Qud+q3aJnarpVpVwnWxr31OcCLFuFrbyvqcQkntzqoUe/51kybGGEb8clrSfrrV457A/enADcH7KKcn0SLuc3GviTZjJlHFHL8lyHVtqf59IoZ6Qxah/hI5xgH+7zN7Jvqv/uuvv3Dw4EHV74sXL0bjxo0xZMgQPHkivPsHMa8V7wUavXZ5ZAf5uy/efpwlaLuACO4PEH1f8oayiISeHPCdRBp7ovvDP1fhHx6D307K301IjpPw0hzdAe3B9aieepeHGqtVgHnrAwR+s0dwvQ8hjJ2JT5raBSnRIdg7oQN2fCrPRQpfJ8/g7xJMOgvbvT5/kw8uQk4I5WyG8J3M2WYFIqNmQj5LlcuilrxqmLAnTPckrZ6vZTpCy4VvRvqIhCyg8V3kW2YqJaPr8oNMfPX7edEZVUpj3+APmlna/EGNjXq8+sXbw2eaQZAuHJlEhpwz0USOGJbOit/8yetC1UJqo4qhrDMol6/fqoctHIW1pUjL5C/srtSFo5D6J+tOyXIMSVO7iNp+30RhS8vEGLWeP0DUsJInPu34OpOYa7xqL0H837IjRh2TlAkuY86/fzt5R/VvQwFEPt/04f7M/yZGeFMEfZ8GNbyNn/Q7I6EbrX94jMHjF1J25YvutQQ933meMj0Hv+Qe/2In7eSue7ryYLKkx33Y1jK1t22N6KDZxIkTkZFROAN57tw5hIWFoWfPnrhx4wbCwsJkP0DCT98bV1uXut5mWyK1eEhTwds+ep5jcJsDV//jzH74zMBJub6ZFu0vtBHBmsFA9eVEyuwq9eBZOXdn0V+KVXnq+kzcclbSjII+chVbN1VBeKW1Rs7IiXXlmx5IiQ4x6fvA0wxdlrhw1UgxJ2XGoXqjkCplXFW3G6NSacMz2qYKnEldbtzcX392Vcda8hbw/59Mdc3eX31c9BKqM18LO/F9s6EvUqJD0PNVIe7q5TVPuuXOcDH3Z4sQYt8LUssNcJEyKzzhtzNYd/Qmb3YdH6EBmGsiu/WKXV6jj7HfA7svPFD9W2pgUZ27iSZyxDJFtpkQXF3G5awtawqB/l44YKAu0fA1J3S+n9Q7If51/j5azPzH4HN5uTmZNIvWUJMvLsZ8t5+7k65zm6El4TtHC5uIU77ey/cbl4HnbsTSPKmvTfLD5/jrfKrg7fVlUOrLEhOjaZXSOn+HXJ8PYs+VhZ7jCSm7MqqDsBIOfE0DSjoXQ0p0iEbGpdjvMkB83dOwzUmYuuM8/MNjdEpp7DxzT+/jog1MnE0RUTLk2/62W1bBWKLPpJKTk1G3buGLu3XrVrz11luIiorCkiVLsGuXZesVFEVCLijlIOaDMqShvJ3k9NUpqFqWv8D0j0N1O7VwfZGpL9NIiQ7BAI4ldupLE09MFr9s4LdPhM1I5goolMtHSkcbSwkWWPtB2S68oIDh6I1HomsuKcmRTqy+ZKSuj4dZWpETYc7eeWrpQ1D5lef9Ps/IDBdTib/M35FKW0p0CDxLSB//F6e/rgcpd4aLoc8WOYIc6qp4yf89LHemjbUS29BIzsxKfbV1kmf1NJgBoN4hUq5mxpYKWKlTKBTYwdHRc+vI1rIH/JU61CqHyF71dG53cy6mU+xdio0ftTJ6H/pU5nnv33z0HP9c0m1mpB4bErr8Tu7lquqMCX5JfexbiwpXLMVfSjPYDREABgZyLzEvpecczD88BlGxwmq9bf6Ye3ycMzJoK/X9POKXU6gjcLJC7gxKdUveKUyAUF77pESHmD0blTEm+PvanPVDlZMcCRM6YEpIHfw7rZuk5nxiX89tiXfx85GbAICPftbMMv1sY6Lexw1qbnhyVTtBBODOCJRr4soWif4fdnJyQlZW4ZK6PXv2oGvXwhfUy8tLlYFGbMu2Ua15s7ZWvBdosg/KPq+6JepbpskXIBFSUyElOgTf9m+AazN78H65y5ERw0foBVCNV1keX245i6ES2kJL7WhjiNCumKawfP8NpGflouqkWAxefhQBEbE4JLJLkpjsRz5lSjrj5JTOiOrbAH+MaYtECSnmhghpLiFGQQETNEvXryl30W5b0WuRbucjS1EoFHov1KTM6BtiaKmDf3gM9l35D+fv6s7uSyHHZ2UJJ0eTf+7qIzV7Sh+uIIO1katmnCloZ3sDwPoPW+p87/RrUhEda5eX7XkdHRQaF4RSLgzTX+TixsNnshyPQqHgXY5uLo0ql9K4AD01pTOa+ZU22RLqNe/rzwz9m6N+0rrh4jJJjS1NIpUx3QoTv9JcLqkck+8FyXuOJ0fWiNRgRVpmNt5fcwLDVh3XKYCvbfYA7vqiv8vQ3bBlVd3xcVKGIKVCoRDUXZzLCwGBIkOJA2K08PdCq6qanWtNXav4k+CqBrcJiIgV9H2dPKunqOM1tq6xMlNZoVDgw3ZVjWoYEMQx/oTYc/GB4Y1eEfqdpp4gkhIdwpkR2EnG72BbIzpo1rZtW4SFhWHGjBk4fvw4QkIKT3ivXLmCSpXMVwSbvGaoFoahzKimVUojTE/9lIvTu4tOHwWAZe+KC1K0mx3Peft7PK2FhRaYHtS8iqQZAEvZdvoONp+8jQNXH3KmsJuT8oPTVF0xhV5sNpq+W+P3d34SF1CUM/uxbElnDGlZRfWl+fMHLeDr6cJb/0AMOetd+YfHoOokYXUxZveXvxOjXITWW5GahWgKQdXK6CwvalPdNBdvnq7F8T8DTSiGrTqONxcexL2nL3TuE7O81RJBLikMHWe72Xt57xfzmoip/2hMQx1jmLNmXAeRGUnhPWojJToE/4wPVt3WpnpZne+duVaWpfnmwgNoNG03Qlef4N1OOwDCh6tulSGjO8rfMdZBLaBo6azHvWrjAgDa1SinqpNoj1KiQ1DazUnj4lVpem95VxMMam78MnAHBwWOTRJft1F9WerI9adxTs+kDl9Qzl+mwFFKdIiqA+3e8cGyZdPU8fFASnSISTpG7p3Qgfd+Mc/564ggVYMFc4noYbhpklBiEzs8XIrjr3HCApqNKpn2u3OjnkxHa2Xp2peWJDqSsGjRIhQrVgxbtmzB0qVLUbFiYXbCrl270L27vBkSRBhDtTDU17arf/kODKykkYrJNeNawknaBXz3+uKDFE2m79ZZp33gqriMIms2s6+wk52wX8+o/v3vPeFBs5reJUUfk6U1qlzK0odgtPY1y+FwxBu89Q/EkiNzpft8ccWorTmwLDQ7KyAiFnn5BVjwz1UUGKiPYsgPWu3spXB7VfdC+bP+Q9OdHH33P2GdPltHvw4Wia2laCsBMyFuP34B//AYtP1WN3h2/T95Moe4CGmoY6paTvr+/wwF/H85ehObjnN3vOMiNQBfrVxJnSBBSnQIDod3MvvSRSGf5+fvCltdISaoynfO9b2e9/j4rvI1jeDDVbrCWEIyq6uW0z236VZPWJMWOWsDmoMpx7n254qcwQBvDxejAkMX73O/l+YPamzSjCf1VQgVPF2QEh3COd6M5eigwMRuwgrQG5I8q6eg72KhdRtPvwrqm+LvNsRUneyFqF3BQ2+2u3onX3OU1DB2hQlfPUB7Om+zNNFXSVWqVMGff/6JM2fOYPjw4arb582bhwULFsh6cEQ4MW8K5YfE7AGNTBoxFjtr8SSrsJh5QEQs8gUuKbMl77Q0zdJJpdjPpKWBW1pKdAj6NPY1vKEW9aAI31ixxRnpRpVLYedo4YEzrnpUl1IzBT9+68jWgre1FKGfcdUn78LcuCuoOikWL/Ok167q3dj2lqumRIfgDwHFkqU0HrHm5X36rP+wpcFt7jzRzbwT07ZdaG1GdXyNCs5FdjVqqYchKdEhuBHVE3V8PFTdbg0FiKb8fh7h284Jfo7yHi7GHqYG31IlzD67LUeHOMBwQFIMffMa5npt5MrqUSc1s5qvUVFdHw/Vv82dPWMMoUuDpdSu3TW2nc7nyg6BhfWFcnRQIHlWT51MU67l10L1aSLv9/Cknq8zfaf1qid7DWY+n2plhAaUdZO0PFbM+33N+80NbuPFEdR/00yvixyd7NXf71Jpr2ZQn6AwRc1SbS7FHSUFt5Tncf2XHua835x13ooCSakF+fn52LJlC2bMmIFvvvkGW7ZsQV5entzHRkTiKlJvyQizMTN81QQuKbM1k3uKS0fWnn3L4OmSaM2ZQobMH9xE9MlL7qvqy6np/O3a32woPiBnDRpWKiX4/ctXAFSIZn7CljpbmthZ+KE/6V/eLefzWJMGlTyx9B15avipM+fyPrm0qV5W0uNcigm/kJfSqVM70KbsHNiokqdZuig6OBTW2jFFfT17USDDUu/kWT1lzUAGgJ/e021wZAmGGiUYUql0CVHnp/1eBU+GCajptWN0G7PWS5Tj/0TMsRqqXcs15uq8CixwLfmUk0KhwJr3W6C1Wh25djWkfQ4LHWNCv6+//18jfNTudR2tABMEgcXoUKscBjWvgm2jhE9aiq0n1aGW9defEvKe5hMrsW6cOu3vQr4GH3w1wI11WsRSfiX/8Bgk3X6qcdvsAQ2REh0iS5am+vtQPehcFIn+Nj9//jx69eqFBw8eoFatwlTTK1euoFy5cti5cycaNLCdWR17VM7d2apSMVOiQ7DmUDIi/xA+c2/PPmpfFTNfdYMUYu2Rm1h75CZ+GNwYPRv4oGHkbsMPslGLhzTFrH65gv9Ge8xG5JISHYIHGdloGcXflv7Rs5eSas9Y0+eFIQqFAtejegoOqh9PeYwP157ET8NeX9TUnMLf5dmWXg99ejSQd5bYll+TG1E9Bdf1U3IpLmwCwpjX5fikN7DmcAomdqsFhULB2T3QFkX0sI+T6jwjl3eb6j3TWavGrNB6j3JR/7uaVimF07eeinp8t3renJ3NDZk7qLHgmnZ8WWim0LmuN1KiQySfj0iZpEme1RMBEZqfa3Gft1dlSN55koW233LXCjaHCd1qod+SwuyXhhKXgXYVuARXaOaVcnnx2Ddq4MqDTLSVOKkiF2Vws6nA+swAsCrUcOaYNg+XYsjItt7Elmm962Ptq46QtkBfDXA5eLk5YfX7zfG+gTqZhgwMNNwtU6iu9SqgT2NfFDDg4/bSs0btgehvlg8//BD169fHnTt3cPr0aZw+fRq3b99Gw4YN8fHHH5viGImNC20TYNMXXXKT8lqM3ZSk6qzJRepJibXxcCmuUxBan4wXhk8C5FwaY0neHi4Gx02zb/Zgxf4bSHn4XPDJuy1mVKl3vBNiz8UHSLr91OCSRKF1QmzFbyOCZNmPrb8mDg4KUfVC7qe/0FuQGgCuvurEbOzrUt7DBV90r21XRXUre5XAJ0YsxbIm3mq1YANFZuKa+j2zJ+z196MlswW3jWqDfRM7CNq2b5OKSIkOkRQwM0R9+Z9nCdNnauoj5fs0aWoXSZ8Byi536tSXFFcq7YrwHrXRtEopi3zPN6lcCu+0rIJxnWtIyp4VWqRd6eCXHXnvVy8B8nmXmlj6bjOTd4c0xFvkMvZTEjt6no0Ufx7sKrGetbmZY/lhMUcHKN+i5jgf6lirPFKiQ0yyYkCq+YObWEVnZ0tTMJHtxkqUKIGTJ0+iXj3NWdHz58+jefPmePFCtz6IJWVkZMDT0xPp6enw8DB+3TMxjlyZQVe+6QGnYra7HBEo7PSnPVMola1f2HKRI0PR3l4XOTPr7OW1+XrHeaNnKbeODEIzPy/DG9oYY8eLvYwRpev/PcMbc/ZJfry9vR7qMrJzMXpDIvZf0a2PKMSlGd1l7fxrDXLzC8AY4FTMQfB7qWWAFzZ/YlzAWt9zbRkRhEB/6/yc4nt9/Mu4ImEif1BDqoICBgcHBdKzcrHuaApGdzLd0ikh/st8ieYz9wja1tfTBYcjxHedVPf55iRsT7yLmM/aWvUSerHnu8bUd9IW+1k71PW1jus/9WP8e1x71KrgrnM7l00ft0KrqtK7b99+nIV2s3UzD7/oXgujOryutaY8DnOfE6n//SENfRBz9r7Bx4Q09NFo5GCsbafvIOzXMzqviSUVFDDRmfJz/tcI/U3QtMWeCY0ViY461KpVCw8ePNC5PS0tDdWrW8cgI9ZLrosOWw+YAa9nCu35QswYoW0CjHq8Pb6uGz4yXNhcCHt6bab1Fl8UWZs9BswAIFFCfQzA/rLulKqVK4lrM3tIeqw9vh7qPFyK4+cPWoj+Ozd81BIp0SF2FzADCpf5Kc81lN/VhjKrjA2Y8VFeYNsaUwXMAKiyhTxdi1s8YAYUlki5OrOHoMZMxgbMgMLOfinRIVYdMANen+9eFfD5K/WzVt9nu7W+b9SP60hEJ8R93l7v62NMwAworNF1Zqpup8qRejKDzb3EWZ2vp7AMPDkDZgDQr2klpESHWE3ADCj8fFN+9wjNGKWAmekIeldkZGSofqKiovDZZ59hy5YtuHPnDu7cuYMtW7Zg3Lhx+Pbbb01ykEuWLEFAQABcXFzQrFkzHDhwwCTPQ8zD2Boc9n7xIpYtLrETSur/tb2OkdbVjK/BYY+vzUftpAdY7fH1UCrt5oR+TcV1H2sR4GVXSwa1SWmYInVZjK0S+p44+GVHWT6TbIlfGTf8MLgx531vt5De/MjWqReYv662ZEpqkNqWFXd0QF1fD43mXB+0CcC5yNdBC3v+3uFT3NFBY6ykRIfg8jfd0aiSp9GTNcUcHRA/oYPO7Y4WXoapTl+nch/PEqjh7a56fdQLrss1Vjxdi6O9VhMafd/1FUuVkOU5pShT0hnFrOj/zFooFAq7KTljqwQtz3RwcNB4YykforxN/ff8/HxZD3Dz5s0YOnQolixZgjZt2uDHH3/ETz/9hAsXLqBKFcMnKLQ80zpJXZr455i2qF/RumfUpJKylOrazB423TVTqC+3nMX0PvUQtvkMYs7xp23b+8noqZtP9LaXNiR5Vk+7DYhIef/Y+1hRErpkaNm7TdG9vnlazVtSbn4Bb41IdVtHtraZ7rJy43tPhfeorVFLqih7kZOPEjLWANL3up+L7GqW7qpyeJGTDwYGVyd5u4cSIsSLnHzM33MFYzvXoDGoRv3a65/xwahWrqTG/f/eS8fTrFzJnaelUv/M+2FwY/RuXJH3++d6VE+rCoaaE9/rYo9lEsxBaKxIUNBs3z7hNUCCgw0X8BajZcuWaNq0KZYuXaq6rU6dOujTpw9mzZpl8PEUNLNuYi907fki9+aj5wj+LkHw9qemdJbULdEenL+bjjcXHtS53Z7HhzrGGBgDQtecEFyDKGlqF4sWjTYH+jzRLy0zGy1m/oNa3u74+/P2Oq/V1Zk9LLokw9z6Lz2MUzef8G5TVCYl9OF7PxWl94652UPQjBBChFL/zDsS0Qk+niUQFXsRy/ffAFAYSKtf0VMnyFcUzYq9iB9fvS7qejaogCXvNLPAEdk+WYNmQiUlJaFx48Zy7Q45OTlwdXXFb7/9hr59+6puHzt2LJKSkjiDeS9fvsTLly9Vv2dkZKBy5coUNLNSdJHLT19G3sphgXijjjfHI0hRI+Q9tODtJujVyNfgdrbuQUY2Jm8/hzkDG2PA0sO4mvZM77YRPWrbTac/KY5cf4S3VxzF5W+6w7lY0ZuZ5PpsbVDRE5nZuahf0RM/DG5SZGeylU7dfIz+S4/o3F7UAqzmRkEzQkhRov6Zp35OcvDqQzQPKF0kz1H4pGflotH03QCAid1q4dOO1lOHzRaZLWiWnp6O9evX46effsKZM2dkXZ557949VKxYEYcOHULr1q/XgUdFRWHt2rW4fPmyzmMiIyMxbdo0zuOkoJn1eZqVg8bT4wRta89Lywgxlr4LrY0ftUJQNeOKyNqqgIgYcH3DFbXgOyFSbT11B+N/OwMAaF+zHH58t5msSxGJLgqaEUKKEvXPPDo/E44xRtfFMhAaNJO80Hvv3r1YtWoVtm3bBj8/P/Tv3x8rV66Uujte2gOCb5BEREQgLCxM9bsy04xYp1KuTqoPyJd5+ag15S/O7RK/6kIfDITwUL6P8gsYqr1qUV3UTz6SZ73+++nkghDx+jerRN24CCGEECtD57TmJSpodufOHaxZswarVq3C8+fPMXDgQOTm5mLr1q2oW7eu7AdXtmxZODo6IjU1VeP2tLQ0eHtzL01zdnaGs3PRrPNk65yLOSIlOkRjxmHd8BZoV6Mcz6MIIeocX7WoJpro5IIQQgghhBAiluCiFD179kTdunVx4cIFLFy4EPfu3cPChQtNeWxwcnJCs2bNEBenuXwvLi5OY7kmsS/qragpYEYIIYQQQgghhBBLEJxptnv3bnz22WcYOXIkatSoYcpj0hAWFoahQ4ciMDAQQUFBWL58OW7duoURI0aY7RgIIYQQQgghhBBCSNEiOGh24MABrFq1CoGBgahduzaGDh2KQYMGmfLYAACDBg3Co0ePMH36dNy/fx/169dHbGws/Pz8TP7chBBCCCGEWJqbk+QyxIQQQggxguDlmUFBQVixYgXu37+PTz75BJs2bULFihVRUFCAuLg4ZGZmmuwgR40ahZSUFLx8+RKnTp1C+/btTfZchBBCCCGEWIvZ/RvCwYHqMhJCCCGWIDhopuTq6ooPPvgABw8exLlz5zB+/HhER0ejfPny6NWrlymOkRBCCCGEkCInokdtDGxOXeAJIYQQSxEdNFNXq1YtzJ49G3fu3MHGjRvlOiZCCCGEEEKKvG71Klj6EAghhJAizaigmZKjoyP69OmDnTt3yrE7QgghhBBCirwqXq6WPgRCCDGZquXcLH0IhBgkS9CMEEIIIYQQIi+qZUYIsWetq5Wx9CEQYhC14iGEEEIIIYQQQohZTe9VH7W83fFWI19LHwohelHQjBBCCCGEEEIIIWbl4KDA0CB/Sx8GIbxoeSYhhBBCCCGEEEIIIVooaEYIIYQQQgghhBBCiBYKmhFCCCGEEEIIIYQQooWCZoQQQgghhBBCCCGEaKGgGSGEEEIIIVagmV9pSx8CIYQQQtRQ90xCCCGEEEKswNaRrQEAjDEoFAoLHw0hhBBCKNOMEEIIIYQQK0IBM0IIIcQ6UNCMEEIIIYQQQgghhBAtFDQjhBBCCCGEEEIIIUQLBc0IIYQQQgghhBBCCNFCQTNCCCGEEEIIIYQQQrRQ0IwQQgghhBBCCCGEEC3FLH0ApsYYAwBkZGRY+EgIIYQQQgghhBBCiKUpY0TKmJE+dh80y8zMBABUrlzZwkdCCCGEEEIIIYQQQqxFZmYmPD099d6vYIbCajauoKAA9+7dg7u7OxQKhaUPRxYZGRmoXLkybt++DQ8PD0sfDrEwGg9EHY0Hoo7GA1FH44FoozFB1NF4IOpoPBB19jgeGGPIzMyEr68vHBz0Vy6z+0wzBwcHVKpUydKHYRIeHh52M2CJ8Wg8EHU0Hog6Gg9EHY0Hoo3GBFFH44Goo/FA1NnbeODLMFOiRgCEEEIIIYQQQgghhGihoBkhhBBCCCGEEEIIIVooaGaDnJ2d8fXXX8PZ2dnSh0KsAI0Hoo7GA1FH44Goo/FAtNGYIOpoPBB1NB6IuqI8Huy+EQAhhBBCCCGEEEIIIWJRphkhhBBCCCGEEEIIIVooaEYIIYQQQgghhBBCiBYKmhFCCCGEEEIIIYQQooWCZoQQQgghhBBCCCGEaKGgmRmEhoaiT58+Jn+effv2oVmzZnBxcUHVqlWxbNkyjfv//fdf9O/fH/7+/lAoFJg/f77Jj4kYtmTJEgQEBMDFxQXNmjXDgQMHVPdFRkaidu3acHNzQ+nSpdG5c2ccO3bM4D7PnTuH4OBglChRAhUrVsT06dOh3fPD0HghlsE3HgDg4sWL6NWrFzw9PeHu7o5WrVrh1q1bvPuk8WC7+MbDgwcPEBoaCl9fX7i6uqJ79+64evWqwX3SeLBN+/fvx1tvvQVfX18oFAr8/vvvqvtyc3Px5ZdfokGDBnBzc4Ovry/ee+893Lt3z+B+aTzYJr7xABSeeyoUCo2fVq1aGdwvjQfbZGg8PHv2DKNHj0alSpVQokQJ1KlTB0uXLjW4XxoPtmnWrFlo3rw53N3dUb58efTp0weXL1/W2Gbbtm3o1q0bypYtC4VCgaSkJEH7pjFhO6wlBrFixQq0a9cOpUuXVl3PHj9+3OTHJStGTG7YsGGsd+/eJn2OGzduMFdXVzZ27Fh24cIFtmLFCla8eHG2ZcsW1TbHjx9nEyZMYBs3bmQVKlRg8+bNM+kxEcM2bdrEihcvzlasWMEuXLjAxo4dy9zc3NjNmzcZY4ytX7+excXFsevXr7Pz58+z4cOHMw8PD5aWlqZ3n+np6czb25sNHjyYnTt3jm3dupW5u7uz77//XrWNkPFCzM/QeLh27Rrz8vJiEydOZKdPn2bXr19nf/75J3vw4IHefdJ4sF1846GgoIC1atWKtWvXjh0/fpxdunSJffzxx6xKlSrs2bNnevdJ48F2xcbGssmTJ7OtW7cyAGz79u2q+54+fco6d+7MNm/ezC5dusSOHDnCWrZsyZo1a8a7TxoPtotvPDBWeO7ZvXt3dv/+fdXPo0ePePdJ48F2GRoPH374IatWrRqLj49nycnJ7Mcff2SOjo7s999/17tPGg+2q1u3bmz16tXs/PnzLCkpiYWEhOicH/z8889s2rRpbMWKFQwAS0xMNLhfGhO2xVpiEEOGDGGLFy9miYmJ7OLFi+z9999nnp6e7M6dOyY9NjlR0MwM1Afsrl27WJs2bZinpyfz8vJiISEh7Nq1a6ptk5OTGQC2detW1qFDB1aiRAnWsGFDdvjwYd7n+OKLL1jt2rU1bvvkk09Yq1atOLf38/OjoJkVaNGiBRsxYoTGbbVr12bh4eGc26enpzMAbM+ePXr3uWTJEubp6cmys7NVt82aNYv5+vqygoICxpj48ULMw9B4GDRoEHv33XdF7ZPGg+3iGw+XL19mANj58+dV9+Xl5TEvLy+2YsUKvfuk8WAfuC6KtR0/fpwBUAXdudB4sA/6gmZiL5ZoPNgHrvFQr149Nn36dI3bmjZtyqZMmaJ3PzQe7EdaWhoDwPbt26dzn/LaU0jQjMaEbbHGGARjheer7u7ubO3atdL/ODOj5Zlm9vz5c4SFheHEiRP4559/4ODggL59+6KgoEBju8mTJ2PChAlISkpCzZo18fbbbyMvL0/vfo8cOYKuXbtq3NatWzecPHkSubm5JvlbiHFycnJw6tQpnf+3rl274vDhw5zbL1++HJ6enmjUqJHq9tDQUHTo0EH1+5EjRxAcHAxnZ2fVbd26dcO9e/eQkpKi2obGi3UxNB4KCgoQExODmjVrolu3bihfvjxatmzJuSSHxoPtMzQeXr58CQBwcXFR3efo6AgnJyccPHhQdRuNh6IrPT0dCoUCpUqVUt1G46FoSUhIQPny5VGzZk189NFHSEtL07ifxkPR0bZtW+zcuRN3794FYwzx8fG4cuUKunXrptqGxoP9Sk9PBwB4eXmJehyNCfthTTGIrKws5Obmih6PlkRBMzPr378/+vXrhxo1aqBx48ZYuXIlzp07hwsXLmhsN2HCBISEhKBmzZqYNm0abt68iWvXrundb2pqKry9vTVu8/b2Rl5eHh4+fGiSv4UY5+HDh8jPz+f8f0tNTVX9/ueff6JkyZJwcXHBvHnzEBcXh7Jly6ru9/HxQZUqVVS/6xsLyvv4tqHxYjmGxkNaWhqePXuG6OhodO/eHbt370bfvn3Rr18/7Nu3T7U9jQf7YGg81K5dG35+foiIiMCTJ0+Qk5OD6OhopKam4v79+6rtaTwUTdnZ2QgPD8eQIUPg4eGhup3GQ9HRo0cPrF+/Hnv37sWcOXNw4sQJdOrUSRVwB2g8FCULFixA3bp1UalSJTg5OaF79+5YsmQJ2rZtq9qGxoN9YowhLCwMbdu2Rf369UU9lsaE/bCmGER4eDgqVqyIzp07G/+HmUkxSx9AUXP9+nV89dVXOHr0KB4+fKiK7t66dUvjg6xhw4aqf/v4+AAA0tLSULt2bZQsWVJ137vvvqsqtqdQKDSei70qyqh9O7EuXP9v6rd17NgRSUlJePjwIVasWIGBAwfi2LFjKF++PIDCYp9C9ql9O40X66RvPCg/K3r37o3PP/8cANC4cWMcPnwYy5YtQ3BwMAAaD/ZG33goXrw4tm7diuHDh8PLywuOjo7o3LkzevToobE9jYeiJzc3F4MHD0ZBQQGWLFmicR+Nh6Jj0KBBqn/Xr18fgYGB8PPzQ0xMDPr16weAxkNRsmDBAhw9ehQ7d+6En58f9u/fj1GjRsHHx0d14UrjwT6NHj0aZ8+e1chCF4rGhP2wlhjE7NmzsXHjRiQkJGislrB2FDQzs7feeguVK1fGihUr4Ovri4KCAtSvXx85OTka2xUvXlz1b+WAUw5u9e4myhnkChUqaGQnAYUDvFixYihTpowp/hRipLJly8LR0ZHz/009Yu/m5obq1aujevXqaNWqFWrUqIGVK1ciIiKCc7/6xgLwejaIxov1MTQeypYti2LFiqFu3boa99epU4f3RIjGg20S8vnQrFkzJCUlIT09HTk5OShXrhxatmyJwMBAvful8WDfcnNzMXDgQCQnJ2Pv3r0aWWZcaDwUHT4+PvDz8+PtsEvjwT69ePECkyZNwvbt2xESEgKg8MI4KSkJ33//vd5sDxoPtm/MmDHYuXMn9u/fj0qVKhm9PxoTtssaYhDff/89oqKisGfPHo3gnC2g5Zlm9OjRI1y8eBFTpkzBG2+8gTp16uDJkyei96MMoFSvXl2VbRQUFIS4uDiN7Xbv3o3AwECNwU+sh5OTE5o1a6bz/xYXF4fWrVvrfRxjTGN5hbagoCDs379f40Nw9+7d8PX1hb+/v2obGi/WxdB4cHJyQvPmzXVahl+5cgV+fn5690vjwTaJ+Xzw9PREuXLlcPXqVZw8eRK9e/fWu18aD/ZLGTC7evUq9uzZI+jihMZD0fHo0SPcvn1blTnAhcaDfcrNzUVubi4cHDQv+xwdHXXqGamj8WC7GGMYPXo0tm3bhr179yIgIECW/dKYsE3WEIP47rvvMGPGDPz111+8k7tWy4xNB4osZeeK/Px8VqZMGfbuu++yq1evsn/++Yc1b95co8sNVweTJ0+eMAAsPj5e73Mo271+/vnn7MKFC2zlypU67V5fvnzJEhMTWWJiIvPx8WETJkxgiYmJ7OrVqyb6y4khmzZtYsWLF2crV65kFy5cYOPGjWNubm4sJSWFPXv2jEVERLAjR46wlJQUdurUKTZ8+HDm7Oys0TEvPDycDR06VPX706dPmbe3N3v77bfZuXPn2LZt25iHhwdnO2i+8ULMj288MMbYtm3bWPHixdny5cvZ1atX2cKFC5mjoyM7cOCAah80HuyHofHw66+/svj4eHb9+nX2+++/Mz8/P9avXz+NfdB4sB+ZmZmq73AAbO7cuSwxMZHdvHmT5ebmsl69erFKlSqxpKQkdv/+fdXPy5cvVfug8WA/+MZDZmYmGz9+PDt8+DBLTk5m8fHxLCgoiFWsWJFlZGSo9kHjwX7wjQfGGAsODmb16tVj8fHx7MaNG2z16tXMxcWFLVmyRLUPGg/2Y+TIkczT05MlJCRofB9kZWWptnn06BFLTExkMTExDADbtGkTS0xMZPfv31dtQ2PCtllLDOLbb79lTk5ObMuWLRrjMTMz00R/ufwoaGYGQ4cOZf3792eMMRYXF8fq1KnDnJ2dWcOGDVlCQoIsA5YxxhISEliTJk2Yk5MT8/f3Z0uXLtW4X7lv7Z/g4GAZ/1oi1uLFi5mfnx9zcnJiTZs2VbWDfvHiBevbty/z9fVlTk5OzMfHh/Xq1YsdP35c4/HDhg3T+T88e/Ysa9euHXN2dmYVKlRgkZGRqlbQSobGC7EMfeNBaeXKlax69erMxcWFNWrUiP3+++8a99N4sC984+GHH35glSpVYsWLF2dVqlRhU6ZM0QiQMEbjwZ7Ex8dzfocPGzZM7/e79rkDjQf7wTcesrKyWNeuXVm5cuVUnw/Dhg1jt27d0tgHjQf7wTceGGPs/v37LDQ0lPn6+jIXFxdWq1YtNmfOHI3/WxoP9kPf98Hq1atV26xevZpzm6+//lq1DY0J22YtMQg/Pz+DY83aKRh7VamNmEz37t1RvXp1LFq0yNKHQgghhBBCCCGEEDtGMQj5UE0zE3ry5AliYmKQkJBgUy1VCSGEEEIIIYQQYlsoBiE/6p5pQh988AFOnDiB8ePH8xZmJoQQQgghhBBCCDEGxSDkR8szCSGEEEIIIYQQQgjRQsszCSGEEEIIIYQQQgjRQkEzQgghhBBCCCGEEEK0UNCMEEIIIYQQQgghhBAtFDQjhBBCCCGEEEIIIUQLBc0IIYQQQiwgMjISjRs3tvRhEEIIIcRGzJo1C82bN4e7uzvKly+PPn364PLlyxrbMMYQGRkJX19flChRAh06dMC///6rsc3y5cvRoUMHeHh4QKFQ4OnTp3qf8+XLl2jcuDEUCgWSkpIMHqM5z2/OnTuH4OBglChRAhUrVsT06dOh3uty27Zt6NKlC8qVKwcPDw8EBQXh77//FvUcFDQjhBBCCJGZQqHg/QkNDcWECRPwzz//WPQ4KXBHCCGE2I59+/bh008/xdGjRxEXF4e8vDx07doVz58/V20ze/ZszJ07F4sWLcKJEydQoUIFdOnSBZmZmaptsrKy0L17d0yaNMngc37xxRfw9fU1yd9jjIyMDHTp0gW+vr44ceIEFi5ciO+//x5z585VbbN//3506dIFsbGxOHXqFDp27Ii33noLiYmJgp+nmCkOnhBCCCGkKLt//77q35s3b8bUqVM1ZoJLlCiBkiVLomTJkpY4PEIIIYTYoL/++kvj99WrV6N8+fI4deoU2rdvD8YY5s+fj8mTJ6Nfv34AgLVr18Lb2xsbNmzAJ598AgAYN24cACAhIYH3+Xbt2oXdu3dj69at2LVrl6RjPnHiBCZNmoTExETk5uaicePGmDdvHpo2baraRqFQYMWKFYiJicHff/+NihUrYs6cOejVq5fe/a5fvx7Z2dlYs2YNnJ2dUb9+fVy5cgVz585FWFgYFAoF5s+fr/GYqKgo7NixA3/88QeaNGki6Pgp04wQQgghRGYVKlRQ/Xh6ekKhUOjcpp3lFRoaij59+iAqKgre3t4oVaoUpk2bhry8PEycOBFeXl6oVKkSVq1apfFcd+/exaBBg1C6dGmUKVMGvXv3RkpKiur+hIQEtGjRAm5ubihVqhTatGmDmzdvYs2aNZg2bRrOnDmjyoBbs2YNAGDu3Llo0KAB3NzcULlyZYwaNQrPnj1T7XPNmjUoVaoU/vzzT9SqVQuurq4YMGAAnj9/jrVr18Lf3x+lS5fGmDFjkJ+fr3qcv78/ZsyYgSFDhqBkyZLw9fXFwoULTfJ/QAghhNi79PR0AICXlxcAIDk5GampqejatatqG2dnZwQHB+Pw4cOi9v3gwQN89NFHWLduHVxdXSUfY2ZmJoYNG4YDBw7g6NGjqFGjBnr27KmR+QYA06ZNw8CBA3H27Fn07NkT77zzDh4/fqx3v0eOHEFwcDCcnZ1Vt3Xr1g337t3TOA9SV1BQgMzMTNXrJQQFzQghhBBCrMTevXtx79497N+/H3PnzkVkZCTefPNNlC5dGseOHcOIESMwYsQI3L59G0Dh8oqOHTuiZMmS2L9/Pw4ePIiSJUuie/fuyMnJQV5eHvr06YPg4GCcPXsWR44cwccffwyFQoFBgwZh/PjxqFevHu7fv4/79+9j0KBBAAAHBwcsWLAA58+fx9q1a7F371588cUXGsealZWFBQsWYNOmTfjrr7+QkJCAfv36ITY2FrGxsVi3bh2WL1+OLVu2aDzuu+++Q8OGDXH69GlERETg888/R1xcnHleYEIIIcROMMYQFhaGtm3bon79+gCA1NRUAIC3t7fGtt7e3qr7hO47NDQUI0aMQGBgoFHH2alTJ7z77ruoU6cO6tSpgx9//BFZWVnYt2+fxnahoaF4++23Ub16dURFReH58+c4fvy43v2mpqZy/p3K+7jMmTMHz58/x8CBAwUfPy3PJIQQQgixEl5eXliwYAEcHBxQq1YtzJ49G1lZWaqaIxEREYiOjsahQ4cwePBgIZG9ggAAByRJREFUbNq0CQ4ODvjpp5+gUCgAFC7VKFWqFBISEhAYGIj09HS8+eabqFatGgCgTp06qucrWbIkihUrhgoVKmgch3LZBgAEBARgxowZGDlyJJYsWaK6PTc3F0uXLlXtd8CAAVi3bh0ePHiAkiVLom7duujYsSPi4+NVwTgAaNOmDcLDwwEANWvWxKFDhzBv3jx06dJFxleSEEIIsW+jR4/G2bNncfDgQZ37lOcESowxndv4LFy4EBkZGYiIiNC7Tb169XDz5k0AQLt27fQu30xLS8PUqVOxd+9ePHjwAPn5+cjKysKtW7c0tmvYsKHq325ubnB3d0daWhrvc3H9nVy3A8DGjRsRGRmJHTt2oHz58rx/vzoKmhFCCCGEWIl69erBweH1QgBvb2/V7DEAODo6okyZMqqTyFOnTuHatWtwd3fX2E92djauX7+Orl27IjQ0FN26dUOXLl3QuXNnDBw4ED4+PrzHER8fj6ioKFy4cAEZGRnIy8tDdnY2nj9/Djc3NwCAq6urKmCmPFZ/f3+NOm3e3t6qY1UKCgrS+V275gghhBBC9BszZgx27tyJ/fv3o1KlSqrblZNgqampGt/1aWlpOllZfPbu3YujR49qLH0EgMDAQLzzzjtYu3YtYmNjkZubC6CwVqs+oaGh+O+//zB//nz4+fnB2dkZQUFByMnJ0diuePHiGr8rFAoUFBQAAOdzVahQQSejTHnOof23bt68GcOHD8dvv/2Gzp07C3oNlGh5JiGEEEKIleA6YeQ7iSwoKECzZs2QlJSk8XPlyhUMGTIEQGHm2ZEjR9C6dWts3rwZNWvWxNGjR/Uew82bN9GzZ0/Ur18fW7duxalTp7B48WIAUJ2wSjlWPmJmvwkhhJCiijGG0aNHY9u2bdi7dy8CAgI07g8ICECFChU0yh7k5ORg3759aN26teDnWbBgAc6cOaM6r4iNjQVQGHyaOXMmAMDPzw/Vq1dH9erVUbFiRb37OnDgAD777DP07NkT9erVg7OzMx4+fCjmz+Z8rqCgIOzfv18j+LZ79274+vrC399fddvGjRsRGhqKDRs2ICQkRNTzApRpRgghhBBis5o2bYrNmzejfPny8PDw0LtdkyZN0KRJE0RERCAoKAgbNmxAq1at4OTkpFGoHwBOnjyJvLw8zJkzR5X19uuvv8p2zNoBu6NHj6J27dqy7Z8QQgixV59++ik2bNiAHTt2wN3dXZVp5enpiRIlSkChUGDcuHGIiopCjRo1UKNGDURFRcHV1VU1mQYUZqKlpqbi2rVrAIBz587B3d0dVapUgZeXF6pUqaLxvMos8mrVqmlktglRvXp1rFu3DoGBgcjIyMDEiRN5M9OEGjJkCKZNm4bQ0FBMmjQJV69eRVRUFKZOnaqajNu4cSPee+89/PDDD2jVqpXq9SpRogQ8PT0FPQ9lmhFCCCGE2Kh33nkHZcuWRe/evXHgwAEkJydj3759GDt2LO7cuYPk5GRERETgyJEjuHnzJnbv3o0rV66o6pr5+/sjOTkZSUlJePjwIV6+fIlq1aohLy8PCxcuxI0bN7Bu3TosW7ZMtmM+dOgQZs+ejStXrmDx4sX47bffMHbsWNn2TwghhNirpUuXIj09HR06dICPj4/qZ/PmzaptvvjiC4wbNw6jRo1CYGAg7t69i927d2uUcli2bBmaNGmCjz76CADQvn17NGnSBDt37jT6GAsKClCs2Ov8rFWrVuHJkydo0qQJhg4dis8++0xUTTF9PD09ERcXhzt37iAwMBCjRo1CWFgYwsLCVNv8+OOPyMvLw6effqrxeok576BMM0IIIYQQG+Xq6or9+/fjyy+/RL9+/ZCZmYmKFSvijTfegIeHB168eIFLly5h7dq1ePToEXx8fDB69Gh88sknAID+/ftj27Zt6NixI54+fYrVq1cjNDQUc+fOxbfffouIiAi0b98es2bNwnvvvSfLMY8fPx6nTp3CtGnT4O7ujjlz5qBbt26y7JsQQgixZ8pC93wUCgUiIyMRGRmpdxtD92vz9/cX9NxAYV0x9QZDTZo0wYkTJzS2GTBggMbvXPt++vSpwedq0KAB9u/fr/f+hIQEg/swRMGE/uWEEEIIIYQYwd/fH+PGjdPozkkIIYQQ25eZmYnExEQMGDAAkyZNspvvelqeSQghhBBCCCGEEEIkmzp1KgYMGIC+fftixIgRlj4c2dDyTEIIIYQQQgghhBAi2bx58zBv3jxLH4bsaHkmIYQQQgghhBBCCCFaaHkmIYQQQgghhBBCCCFaKGhGCCGEEEIIIYQQQogWCpoRQgghhBBCCCGEEKKFgmaEEEIIIYQQQgghhGihoBkhhBBCCCGEEEIIIVooaEYIIYQQQgghhBBCiBYKmhFCCCGEEEIIIYQQooWCZoQQQgghhBBCCCGEaKGgGSGEEEIIIYQQQgghWv4PL9Ny+iML6+IAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 1500x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=2, ncols=1, figsize=(15,5), sharex=True)\n",
"ds[\"Absolute_VTEC\"].plot.line(x=\"Timestamp\", ax=axes[0])\n",
"ds[\"Absolute_STEC\"].plot.line(x=\"Timestamp\", ax=axes[1]);\n",
"fig.subplots_adjust(hspace=0)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {
"09674ff493904a06936446d3af975eef": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "2.0.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "2.0.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "2.0.0",
"_view_name": "HTMLView",
"description": "",
"description_allow_html": false,
"layout": "IPY_MODEL_b11a5996c2c64609bea52147dd24f46e",
"placeholder": "",
"style": "IPY_MODEL_72f516cb9dcc4e2faa1a8542bf18df74",
"tabbable": null,
"tooltip": null,
"value": "Processing: 100%"
}
},
"1045bb46c65441dd9d30ac423fdf51cf": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
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"_view_name": "LayoutView",
"align_content": null,
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"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
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