\n",
" \n",
" \n",
@@ -629,10 +620,10 @@
"\n",
" \n",
" \n",
- "
Coordinates: (15)
IR_016_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') y
(y)
float64
-5.566e+06 -5.563e+06 ... 5.569e+06
units : m standard_name : projection_y_coordinate array([-5565747.872591, -5562747.469425, -5559747.066259, ..., 5562747.469425,\n",
- " 5565747.872591, 5568748.275757]) x
(x)
float64
5.566e+06 5.563e+06 ... -5.569e+06
units : m standard_name : projection_x_coordinate array([ 5565747.872591, 5562747.469425, 5559747.066259, ..., -5562747.469425,\n",
- " -5565747.872591, -5568748.275757]) longitude
(y, x)
float64
dask.array<chunksize=(928, 3712), meta=np.ndarray>
name : longitude standard_name : longitude units : degrees_east Coordinates: (15)
IR_016_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') y
(y)
float64
-5.566e+06 -5.563e+06 ... 5.569e+06
units : m standard_name : projection_y_coordinate array([-5565747.872591, -5562747.469425, -5559747.066259, ..., 5562747.469425,\n",
+ " 5565747.872591, 5568748.275757]) x
(x)
float64
5.566e+06 5.563e+06 ... -5.569e+06
units : m standard_name : projection_x_coordinate array([ 5565747.872591, 5562747.469425, 5559747.066259, ..., -5562747.469425,\n",
+ " -5565747.872591, -5568748.275757]) longitude
(y, x)
float64
dask.array<chunksize=(928, 3712), meta=np.ndarray>
name : longitude standard_name : longitude units : degrees_east \n",
" \n",
" \n",
" \n",
@@ -690,7 +681,7 @@
"\n",
" \n",
" \n",
- "
latitude
(y, x)
float64
dask.array<chunksize=(928, 3712), meta=np.ndarray>
name : latitude standard_name : latitude units : degrees_north latitude
(y, x)
float64
dask.array<chunksize=(928, 3712), meta=np.ndarray>
name : latitude standard_name : latitude units : degrees_north \n",
" \n",
" \n",
" \n",
@@ -748,17 +739,17 @@
"\n",
" \n",
" \n",
- "
IR_039_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') IR_087_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') IR_097_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') IR_108_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') IR_120_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') IR_134_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') VIS006_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') VIS008_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') WV_062_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') WV_073_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
- " dtype='datetime64[ns]') Indexes: (2)
IR_039_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') IR_087_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') IR_097_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') IR_108_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') IR_120_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') IR_134_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') VIS006_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') VIS008_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') WV_062_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') WV_073_acq_time
(y)
datetime64[ns]
NaT NaT NaT NaT ... NaT NaT NaT NaT
long_name : Mean scanline acquisition time array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'],\n",
+ " dtype='datetime64[ns]') Indexes: (2)
PandasIndex
PandasIndex(Index([-5565747.872591019, -5562747.469425201, -5559747.066259384,\n",
" -5556746.663093567, -5553746.25992775, -5550745.856761932,\n",
" -5547745.453596115, -5544745.050430298, -5541744.647264481,\n",
" -5538744.244098663,\n",
@@ -767,7 +758,7 @@
" 5550745.856761932, 5553746.25992775, 5556746.663093567,\n",
" 5559747.066259384, 5562747.469425201, 5565747.872591019,\n",
" 5568748.275756836],\n",
- " dtype='float64', name='y', length=3712)) PandasIndex
PandasIndex(Index([ 5565747.872591019, 5562747.469425201, 5559747.066259384,\n",
+ " dtype='float64', name='y', length=3712)) PandasIndex
PandasIndex(Index([ 5565747.872591019, 5562747.469425201, 5559747.066259384,\n",
" 5556746.663093567, 5553746.25992775, 5550745.856761932,\n",
" 5547745.453596115, 5544745.050430298, 5541744.647264481,\n",
" 5538744.244098663,\n",
@@ -776,7 +767,7 @@
" -5550745.856761932, -5553746.25992775, -5556746.663093567,\n",
" -5559747.066259384, -5562747.469425201, -5565747.872591019,\n",
" -5568748.275756836],\n",
- " dtype='float64', name='x', length=3712)) Attributes: (15)
calibration : radiance end_time : 2021-11-10 08:15:00 georef_offset_corrected : true grid_mapping : msg_seviri_fes_3km modifiers : [] orbital_parameters : {"projection_longitude": 0.0, "projection_latitude": 0.0, "projection_altitude": 35785831.0, "satellite_nominal_longitude": 0.0, "satellite_nominal_latitude": 0.0, "satellite_actual_longitude": -0.3394201003380397, "satellite_actual_latitude": 0.3537999733591259, "satellite_actual_altitude": 35783787.81506324} platform_name : Meteosat-11 reader : seviri_l1b_native resolution : 3000.403165817 sensor : seviri standard_name : toa_outgoing_radiance_per_unit_wavenumber start_time : 2021-11-10 08:00:00 time_parameters : {"nominal_start_time": "2021-11-10 08:00:00", "nominal_end_time": "2021-11-10 08:15:00", "observation_start_time": "2021-11-10 08:00:10.065000", "observation_end_time": "2021-11-10 08:12:42.766000"} units : mW m-2 sr-1 (cm-1)-1 wavelength : 7.35 µm (6.85-7.85 µm) "
+ " dtype='float64', name='x', length=3712))Attributes: (15)
calibration : radiance end_time : 2021-11-10 08:15:00 georef_offset_corrected : true grid_mapping : msg_seviri_fes_3km modifiers : [] orbital_parameters : {"projection_longitude": 0.0, "projection_latitude": 0.0, "projection_altitude": 35785831.0, "satellite_nominal_longitude": 0.0, "satellite_nominal_latitude": 0.0, "satellite_actual_longitude": -0.3394201003380397, "satellite_actual_latitude": 0.3537999733591259, "satellite_actual_altitude": 35783787.81506324} platform_name : Meteosat-11 reader : seviri_l1b_native resolution : 3000.403165817 sensor : seviri standard_name : toa_outgoing_radiance_per_unit_wavenumber start_time : 2021-11-10 08:00:00 time_parameters : {"nominal_start_time": "2021-11-10 08:00:00", "nominal_end_time": "2021-11-10 08:15:00", "observation_start_time": "2021-11-10 08:00:10.065000", "observation_end_time": "2021-11-10 08:12:42.766000"} units : mW m-2 sr-1 (cm-1)-1 wavelength : 7.35 µm (6.85-7.85 µm) "
],
"text/plain": [
"\n",
@@ -811,7 +802,7 @@
" wavelength: 7.35 µm (6.85-7.85 µm)"
]
},
- "execution_count": 19,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -822,7 +813,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
@@ -845,7 +836,7 @@
" 'wavelength': '7.35\\xa0µm\\xa0(6.85-7.85\\xa0µm)'}"
]
},
- "execution_count": 20,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -991,6 +982,146 @@
"plt.imshow(ds.WV_073.data.compute() * cf)\n",
"plt.colorbar()"
]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Check unit conversions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from rs_tools._src.geoprocessing.utils import convert_units"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from rs_tools import MSG_WAVELENGTHS"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'IR_016': 1.64,\n",
+ " 'IR_039': 3.92,\n",
+ " 'IR_087': 8.7,\n",
+ " 'IR_097': 9.66,\n",
+ " 'IR_108': 10.8,\n",
+ " 'IR_120': 12.0,\n",
+ " 'IR_134': 13.4,\n",
+ " 'VIS006': 0.64,\n",
+ " 'VIS008': 0.81,\n",
+ " 'WV_062': 6.25,\n",
+ " 'WV_073': 7.35}"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "MSG_WAVELENGTHS"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds = ds.drop_vars([k for k in ds.data_vars if k not in MSG_WAVELENGTHS])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds_units = convert_units(ds, wavelengths=MSG_WAVELENGTHS)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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1xM80zcQTFQT4JETtjiluP0y4NQWjhGxNs/1jtWNcK0RZj1dKiJgDjEJVdSp55SRqamuX3730/3yx3/0GLxFe7GvG/Pif+MIhur1r0zAmY8fX3nP5Ba1VKcX73vc+vvu7v3tx31/9q3+VMAz5j/+xGZJ9EI3S1OCGw6u6BPdc8WyECfEWeWslDDIIwXnpYDugTkmsgJCrxX5xIu3+cSyEyUqCtuQr1c+11Ee1EknnVqo2UDvZVgnZmBMmOm3UqeMSCRCKWuR7LSFZIMTEe6qN/uJYanMHfe4yelagdydCmCZTXL+Fqhwqr2qiI0GVTFPIRF3SkxyVFqi9Caq0qKpCT3P0JMNrjV/q7g/+rct5jCeonREA0aOXUHsj+f3cJXwrEtO41qi0wFzYqQmhrN0ngRCqmrAR1Gnm68uiPt35v7xob32DVx+utTQ3v10vOOf4r//1v3LHHXfwzne+k42NDb7+67/+WUt4Nxsa0tTghsFNT5QOQBkj5utaSZr7lzDS0o/z+63/8064ubpUl+xcUWC6XXS3K8qRUlBV+GkqZakoRK0soQd96YabTGWbXlfUFVfHCySxqE5ZLgqOMfjtHVloGEJg8FGASmsCVRRgLWqWE5y/Ajt7sl8YYocj3IOPCyGbTPGzFD2ciS+qkhBLZT2+28JvrEIUYQdtXC/BdVvYY6uSD7U7hrLCBwHKe2w3wXViXBxK2S8w+EOrEMeigtUjXObdc2pvIsRIK/FUWYuqHDqTNHFVOXygcTVpcq0QXxNHHwWQ5zzw2n/IA6/5+y/fh6TBTYnRaHTVLc/zr77T07C5uclkMuHnf/7nede73sUHPvABvud7vofv/d7v5SMf+ciLsOobB033XINXPBqi9DTU5m5lkA41gCBAWSfz36IQV5fVXFk9wwvlywoVx7XSJOQHkADKMETPowGyHD+ZivpU2f1RJVVNjNIM1W4JWaoq/MaqGKyLAo4fkuCYJIayRGW5jDdZW9n3JmUF/soudjpbkDuzukK1dQW7dQXd78p2RSGepjTbjxtwQGhwUYBOc/ldg6oqKEvc+jLKe1GXnEPnJSqrJLAzDuXPRQfKSZnODdro3am8xskMohC9I0Zw2i3chUuotSUhT3U5TntPtdzGo2RIccegrENlFW5tUPus4IHTfxff7/D+z/zfX9KPSYMbB9dDKZrvf+LEiavu/6f/9J/yz/7ZP3tex3L1/wnf9V3fxd/5O+LZ+5qv+Rr++I//mH/9r/813/qt33pNa72R0ZCmBq9YvJrJ0mLQbR32CEgH29M74uAZxu+FkVsrIRCqTsfWCuXVIr9o7mu6+lAK3Ur2Ax3niXjzrKRZKrPh6tRtFQT7HqXdPfTSQHxEa0uozR25b3VFyMTeSJSbNBOSlGZw7LAcP9EoU5O2rSugFXZn96rX6K2l2roiv4bBwkNVnb0gylqnjYpjVCVeI4oSdvdQcYxf6eOjABeHqFYMRmFDTXhpRLXWQ5cW5RzMSmhFqNxJaa3fEQVplIoCtTeETkcIWlx3y2U5emMNslJI3NYV3LF11CgluLCDW+3LsTR4rfCdCFVZ9DTHtSPoxKhZwTvv/6foacbvPvzeF/y5afDqhPMK56+NNM33P3v27FWepjiOn/ex1tbWCIKA1772tVfdf/fdd/OHf/iH17TOGx0NaWrwisOrliw9rcPtYAfbl9t+7j+SX2sTdR0VoDCL46kowhfF/vGeRr50nCy2Q2shWzpAddr7alOW7ys6RkvX25nz6JUlUV421uVgkylqMoVWC708kLb8QEvHmtGwJJ1yqqqN2btDIWh1jpKKQlCKYGMdP0txaYpZW903lNcGbNpt/HIHUx1GDSdCDGfp/gy6wKCWBlKqCySx3MVGwr2zElNp8UM5h8pLbK+FLiq8UaisRGUFvlNfUAIjx+z35HmKEnuifr2qhxmm+yXGKBKS5b10AO5NZTtjcL1EPFSBxg7aov4ZjQo0WE9+apl33fPTEBre/+mfeYEfpAavNlxPpanf71+zaT2KIt70pjfx0EMPXXX/ww8/zKlTp67p2Dc6GtLU4BWDVy1ZgqvVonl20ldSlRZp3qK6zL1CV+HA/i5NhYQFwb76dJCc+TqZOxJzuJqbueu8I6ZCXnTVWnSzYS3q1pP4cxdRywMhE0ksoY+7Yxmh0oqlky1KpBQHotY4j/duf5Bu6fdfi5OynU9TMZZHocyyS2KJHAjEF6QqJ/6l0KDyQtavFH6pj+vFdZecRhUWH2rwoEuHKp3sX1pUaXFRQLnSxmQVthMRbI6oDg1EDcoqvHJgPWo6k/KfdrDUx5zbpjq1gZ6VtTHeibcqCMTf1WmLGuUcbqmDmhXSwac9rhVIB2BpcZHBG4MuLKryVKttdGF555veDc7x3z757uvzGWvQ4HlgMpnw6KOPLn5/4okn+PSnP83KygonT57kJ3/yJ/krf+Wv8C3f8i287W1v4/3vfz+/8zu/w4c//OGXb9GvADSRAw1edryqydIcT89R+irbLRQm79Ct1tUqEvsqlYoifFktSnFPTwaf76vbbfEfGSPEYDzBjSdCVOrjuelMIgKmKW42Q586jt/cRq2uwGgsClUU1t6itrT81yU3tIFprbgEAT7PhTjNZtLJF8eyNq2grOR5wxCfZVICtA5fVZLVVL/WRcq3l3BN1Urk9/lt/lqNERIWBrh+IkGUocbMSiEylcUut1G5FQLmhcz4QKPHmTxfEkNe7s/Yi4O6W09M7JR20TajKlenjMuoFq81Ki+wa716XR4falxkQIFXCl05vALlfJ395PCBwkwLypUWOrf894/+9Av8cDV4sfBSRQ78/udPXJfIgW973dnnvNYPf/jDvO1tb3vG/T/4gz/Ir/3arwHw7//9v+c973kP586d48477+Td73433/Vd33VN67zR0ZCmBi8rXvWE6el5Sl9tW1gEUM5zjXxZoZNYDNNwVWAlxuCyHJ3EEi9QFIvcJWWMEJYoEsLUaUNl8aPRgqi48RjV7QiRabekPFV3ixGGMgNud7gwRAO1muVEacpz+blWwtx0VgddxtLFFksCN/PxKPNRJ1rjJ0Ky1DwTKi+EUITB1SNRQNYyJ0nW7t8/L9XNR6sYjR90sd2Y4KnNxbp9FEJosN0YrxFfVA2dl6JqzT1LWYHvtYQUeS+m90DIlu0n6Flx9Wupu+mq1S4u1FKSC3R9bItyHhsblAcXacKdFNeKcIFakChv5GamFb/3x//ouX66GrzIeKlI0wc/d5LONZKm6djx9nvPNNe3FxlNea7By4JXPVma4zkqS/KjeoaPidqfZKezfQO4d6g4xqUZvkjlaeZdct6hgkS666JIRpR0O9LxVhRi0q7LeG4yRK+tiqLT60rXWJ7vjxPJchg78TnN/UlK4bd3pLTWbstzpymq20EFAWZOkpyD5SXJaQL5fW4+T7P91xwG8lxV3ZV2UFnqd/efd06OtN4P0FT7xHGRDwWoK0OCcZ0obox07ymJDgj2xgAUpzfQhahNamLxcYjtxAR7M3AWNZpiDy9LMGZRSfK4UeJtisPFe+ODoO7EkyiCYC/DtUJsonGxxtRr9EahS/ksFGvt/VKi87hQCBOAbQW89V3vxWSWD374Hz6vj1qDBg1efDSkqcFLipuGLD1HKK2E4MyVI7nzWcmWCoNFsrebTBdt+iqO8YXMiTO9Hi7NMN2OlLOiSEIgjcZPZ6Im1eRDdztCmLyHyUw8SMMxbjrDzLveogi/u7fIcCIIxH8Ux4sOQH3kEH48wc+79rJcyny1knSVwZt6GHCSyFpg4VWi0xaSOJ2JQqUNhHWXHNThmUpGrOT7A3gXRMpaeSww+yU+7+UcVBItQJaD1kRPbEJlscfXqJZkHbqwVEttTE1gzJUJdqWDdg7bq7cpLbYVoJyYzefdhz4KRDXSsg0qROcOm2h05XFGYVsBOneYQt5bG2uqbkA4KvFO4QMFikX58du/9Z/z3z/SEKebAdfTCN7gxUVDmhq8JGjI0rNgnrdUl+OuIk81cVJxLAQJyVHScYIrCinH1cnfc5VJGSOEaVBL8+02zGb4I2twYVPKYHMC0q275mrjuD+8IiNKRhPMxpo8Foa4zS1cmqGTGF0rS2rQg24Hv3UFlcRCmCZTCAJ0t4NabkGaiYepThUHFv4nldRz5IpyP507iqTc1+9gNwYo5zCXdsU0HsdCgoJgEYxJJaGa9vgaXimCizvYE+uyz9wQD0KuvBfVKc1E1Zqb04MAc2kXE4Yy784YfKApVzuEexm+pTE7U3wrwkwyquU2TiHmcysGc9sJCHczwKNnhUQPBJpwmJOvJmJk10pGrpQe25IuPR8oKROWnqod7Kt4CsquoZVWBMOMt/259xLMKn7vDxu/06sZ1musv7bynL1pjDYvL5pE8AYvOhrC9DQovfAlLQjFgbwmFQaLizrGCGFJxEjt8kxCKZXClZUoT1G4OJ4Z9EVp6XVFIbIOnrqwIDXUHWpUVnKUavVIDadCcFoJhAF+OMbvDdHdDmZ5IGuMo3pAbwTD8cLs7UYT9NqqjFcJagLQkqGeohjVRLA2e9NuiaFcKVGyklCUsF4bVVp03XFGEMitLGWdZbko5REYfJpizl/BzAr8oIu5PISykqG71gpJ6rbrkSgBftCR4b5xKNtoLSGUer8UqoczogfPoab1+JV2LB1xQLA9BQ8mq1Clw0xzwh2JHvCxkCFVOWwSkB1q4UKFizUurBPaQ/Ew+UDhDJjU4UMhStrK/dp64qEY4IvVNsG0BOf5c9/wM7zza//ZS/QBbdCgwZdDozQ1eNHQkKWn4WmdcWLWZvGz7rTxabo/+LY2antrUUEos+QAlcRSQut2pCxXK05EodyqCj8a4bMcQotqt1CtRNK911dhbwTrK+Lz8X6/Ay7NJC28LrPNZ9D5aSqDekdj1Opy3XZvxNPUSlBpKqQmiiT4MjCo8RSltKhIIGQnzVBFISWyuS/J2Vp1ylFRiNcaPUrxQQe33JU8JGdBRfsG8FYCzkkxIs1Ql+rxLPUx9eVdOWanLQb3vFxEI/h2LN1uhbxGvTOR11JYXDvGrcbodowaTvBxF5WWMlsOINTotJSQzMpJ8KVDPE/zMp1RpOsy2saUHq9YqEjKgQ0VBKArj21pVOVRHqqWwRtFOKz2Tep1tpUPFKrwuDjgXff+NO//3M+9iB/SBi8HHAp3jRqGo5GaXgo0pKnBdUdDlr4y5iNQlFbPMH1Lua2UklgUybZBiLeWYG0FN5oIGQLZpt+FokStLO2POqnTslWnJV1yvlaDjhzC7+yJmjQcL4zUfjSpwy7rxO45eWoleO0kS2ltRY4/mwmRsnYRjKkS8VSpbgfyHFUK6fNVBbMZqrU/aoUwFLP5PE/KKRmSW9+nupLGbbadqEGuNqLbOnwTxLc0mdYkaa7IaQgM6Z2H8KGm/aVNGQ4chjWxyyGU7CZfe4Z8O0YVlZCiefBm5eS+pZ5EFDx2BnW7hPl5o8Ah5nHExwTgCVD1+fNRgK7ENG5DJf4lpbCBkChthUjZSGMK8TwpK8RpniiulISFegUmt7gwwEUGM8qpVjq84y0/hzeq8Tu9itB4mm4cNOW5BtcVNyNhWsQDfIXHDw7YlZlvTvapYwVUGOCdw2V1G793uLw2dEchweENqu0dfFVKO/+B4Eq1siTqD0Be4LMMX+6PUPFZjj68DuOJlMvCQIjRdIYfT2oyc6DNf+5NiiNUq4WKI3wYiHpVVWIYB9l/HoMwN5jHMb4VQxShDq+jlgZSjovrJPJ5uOU8Z2meTh7Wg3SnMyFA3qMv7QhB00KIiCPKo0uy3k6b4u4TUoacpYvX2nrwEu3PXyS7dU06AotCjpmmi3BKVZSoVLrivFH73XkaUaWiAFVU2F6Ef91t8vqGk4WaNA/cxHtUVqCc5DbhPXqa0318JAqTAhfquvwm63OBklgC5wkmdkGYAMKJJVuPMeNMgjCdX5jnXaCx/XiRQq6s5x1v+Tne/tZ//kI/tg0aNHgBaJSmBtcFNyNZmuPLjkGZP+7qq2JV7odSzv+tyYo72IYfhDIk13vsZIoOA6pLm4vH3XSG7nZFRWolQphaCUymou5Yhx70pUxXlKjVFfy2zHQjR0gE7Lf3OydEYj5SxXt8luNTafdXUYS6sgtJAmUpKpQxUr5rt2S0ifeLEp1yTkiO8/sdb17BPEJgebBPmpTCJyFqUhOfdksITF4bvtMU5Sy+00YFhvCJTTmeMUQXJHlcLQ2ERM5N3qVEBMxuXyW5mKCHU1nbaCym+ZNHpDzn/X4prLJAJGZwo/BaEwwzqqWWxAz02qi8FIXp8jacOiqvs44+mIdlujqOoPf4mNEdPVwAulSY0uMCVXfSgfJQ9iU1HAXBzFL0RRWslloEuzNUHNbjYZBATuspuwHhpEJZh40lwuFt73wvH/pv/+AFf34bvPy4Pkbwpjz3UqAhTQ2uGTczYXpWzCMDnj7KpH7MWysDaaNISm11vtJiexPWoZShJIEbI5KwMfiiEHVpXpJKMyFGRSlEZR4oCbjRBBWF2LPnrhrbYrrd/bVGIaoUpclnuRCAOhRzXjKTAEuLryef6+UlKZVFIb6TiAdqluJnqRCvXkcStbNyX8UZT/BH1iX4MRaDu8pLyWfKaz/U3LztvZi+2616fEk94iQUwzjGYFc6mOEBsgY18QHfijGpxaQWPc2EZCWxKHqxh4tb+yNlWomU2WrlCMSjNCdC4aWRkCulZC2BEV9Y/Zxqew+/vizbW4kbUKUkj/eemDG+pY0PwCoFHpwRAoUXEhVU4DRUbQMe2pcybBLggwDbDkWJqiQs0wUKk1lcpAEZG4PzmLTirQ/8Ai5UfPT//MkX61Pd4EWEeJqucWBvU557SdCQpgYvGA1ZehYczFia5ygFIXiHd14I09zgm+WL5G7da+PGY+miiyLscCRjUA50ymljMCvL9diUCrzGT1NRq+qONAXirUkzXFEQdDto73Fpip8LYgdn2FmHz3N0u4W3tRl7HktQp3ireRdfvyvEIY5wa0sSRnnm4n7JDSnZKa1RRlMdXcHspai0fp2TVEjeYA0XBwRbuxInUI8uwfmFyZswEAUrDBdkEJvXGUZSvktPDgjH5SJx24e10b4SUhJuTRfmcIwmu+MwLtaEo5Lw7I6U7lqIsjZX/uoE8P2k8VqNMwpVOKg9SiqvS4z93oIkqazEqxhvFJNTHYqeJtlzFF2NxqMsuADiPUu2GmAKL76nrP68BIrJqRbJdl0a1EriCpRCZzJfT1mPi4SAKetwoUF5h0krghm89V3v5cPvb1SnGw0OjW2M4DcEGk9TgxeEm4owfQW/0jM2PRghUCs23kqw4jwWwDtJvHa1agQIcWm10P0udjgSItWqwx+9F/LkvBCmPBfPUlmhl/rS0WYMbnMbX5ZUlzbxs5lkOUUh3rn9EiFgR2PcRFQojBbz9Txh29bmaq0WapZqJbLOLJfbZCot9tbKvkGA9w7V66KWl5i84ZiQrKykWm3jey386WMUJ1egqlClxTz4lMQglOV+QvicPGnpuvNrK0KishzCkPL0BvbwCsXJFVxkCCcVVSek7EW42KAqLyZvIDq/hxpP99+Y8ZT40hhdOIqlkNldG9BKmN22jGtH6FkuhMna/RDOehSKj4L9US3GSNxBEi4O7QMtxCkyKGvxxkjMADBbN9hIuuZcIGW5fCkQAmUkzNLX2yoHJvMkT+5gWwEmt3ijsYnBdgLMtEBnJSatJM1cK0wqviwXm9o47njbO9/7nD+vDRo0eH5olKYGzxs3DWGaq0bPdXYc7KtLc/K08DNVB45ZSvkLhKBYC07jsZA5yWQqClzdLaaNWQzW9XmOXqo9QUksAZGF5BjppQHUXXbz1ny/NxIihBA6s7FOdfES3mkpx9Vr9bk8l6/qYbqVlaG9Rw5JCe7ylTowUnKdzJUJdq2HVkrKa2tLkJWgFd0vbovqZb2Ut0rxAulwBX94DbW1K8GbIKQujlDeUxzpozxCDjb3KI8OCIY5frmLLirCc7sy4mS1T7nUwiYakzlcpNGVIzq7A0B5dIlqo09wYWe/Yy+JUXsTkllOcWKFqmVIb1ul/aVN/M4erCyRH+oQnxtJ5SuqO+1qf5NyriZFQsxUaaXM6D0+CFC2lMcM6KKieyZldiTBhYoqqcmRkWG+2vl6rIrHa6hijVEOZwClmN69RjgUtc+kFTaJUNZTrLYkJyoXwgTgYoMunHT9VeKPUtbxjrf8HHjP7/1RM8fuRkDjabpx0JCmBs8ZNw1ZqiFjQnhOpElHEa6snjES5dlM4qr27+h+V9QWpRcjUg5ur6NIxpUkkgqu221J4263xPw9H1PinBCD+cw4kPDK8UQeLgpMp42dzqguXtong3XEgEtTlNa4LN8P2Ox20F0JifQPPY7aWJfjryzh4hCdFajPPSoepn4PzlzEnziMa0eY81dEoRpWEMfYQ0uo3KJcPRQ3CqmOrWLGGT7Q6OEMwoDokYtgDOUt6+hWQvTUNvntG+jCYbshuhOhC4vemxKPUrCO9I71RQu/vJiaqM1n3SmFW+qgJxLkObt7g+TChHCzQjmJNdBhAJUleXIXH5ircpzEU1RIB9/8PX38DDbPCNbX8IfXyA93aD25W5cYAQM6r0i2C2ZH40V3HB6JH4ghnHmyZY3JPcpB1ZKfTWapOobIs8jQcqHCWi1xBPX9NjaY3HHQxiIESgiVLipcHPBtb/95fv+D/8tX/fw2eHnh0E1O0w2ChjQ1eE64mQjTomRWlV9ly/kOGjdv+Ue633xVLlK+514mPehDUUq5zFr8cPSMMSjzMpqqS0HeWinD9XvQau17febPN//rcjHM1ovnaHsHlcQLU/giTkBpdBjI8xdFbTiPFoOBVbeP6veh7txShRXjt9F1l1wbvTsCbdAry5Lk3YpQQSBkaprjVwdQWtR0hu8mmO1xfT4lHdy3W5hRKt6gogKtyU4uEV+WLrpwuyaDSUz8yGUIQ8b3bmCTiPaFHB31Uc5TtcM6MkCM1Olr1mk9eAlUnQGlNBiFvjIWklhZWh/5ImppIKNfjEZZJwpaty2K3XjC9B330H10uCBOOC8dfIGhXOtQ3nYfunAEn3kK+/mHSc705Bi9LiowZMf7JJ9+kvLrb8VkYvj2CrxBcp6UIu8rwomn6CmCHJSTDKd8WYheuhHTvuAWhnGjFKZ0mFkl5Kicz/OTf6q2zLCrumHdbSeZT8VSwNv+3HvRleODv/9Tz+dr0KBBg2dBQ5oafEXcTGRp7l36ahECT99+3vk2V2nm5m4QxUbNfUhTaatfjEIJgsVcN5emi+MFK8vi5UmzOtjR4mcpfndPgiKhJkliJte97j4pMloSv6sKNyoxywN5rnqdCzJWViilpDsPZHhvmkn7fhjAeIrKi3pArpQB3dENIUxKQSrdcv7WE+hphjt+SFSj8YzilnWiczI3Tm3u4DdWUHsT3JoERqqqEtN0HMj9G0skT+xglzqo5S7qsXO1TyvA9zv4KKBzdkrVCdGlQxcyNDeYlUCI8p7WU0OKoz3SOw/ReuhyHfSJRB3EMrJl+KZVkt2S6MKY9HVHqTpGxppoVc+IY6Hm5Ie6xBdHqGLf40SgCR8+T/mm05QdQ/4ttxGmp0kuTqk6EWaSiyG8NrSHo5Lp8QQ8aAfOgC5FWXIB2EQxeDxnciJGlxBfKfA6xka1wmVlJIsLxbukPNgkwGQVth2gyjovS0M4qXCJAUXtc9Lo0hGNJGG8apvGJP4KhvUK668x3PIa92/w3NCQpgZfFjcVYZpj3vp/8PdngTrYgabCq/ZTWgnxUloIU1HWalOxOJ53Hp9m6FYifqQ4wVclZm1VSktFgfcOf2VnP2ag1VpEAgDiOep2pAylxcRdnTkvM+g21vGTqShc/S7EMdpa9JFDVI8/hU5ilNaLEpbPcjGOD8f4o+uSGl6W9TDdEEwiqdd5IYQkjuDUUfTemOrICmacordTyAuCYS6J48sD8RJlJW51gDm3jd2s/U6DPmpkoduReW2rXTG8X5nij22A9QuDtboyxK8OiEYprpegZ8UiZymsHLYl/43FZ/b2y3Lz90drKCt8HKErT9EPKDtLi9BJFJLaDQRDS3xmB7wnP7Vat/obVGWl3Lgzwh3foP3gFtO71/FGUbY15W09yV86FFO1FKbw5EvHqVr1RazmXKb02EgiB+ZEbXIixuQePExOJERDS9kJ6JzPmJ7oEO+UJDsV6UZcq2ua7jlPMCmxyf6gXzGgK1Tl5XzUz+mMQs8/wkrx1gd+gQ//7t9/wV+PBi8O7HXonrNNee4lQdM91+BZcVMRprrTDQ6QoTlZerbOOaWF9MxvtTI1z1/SG+u1H8piJ1NRhKpyP7OpLt/pKEIlMXrQR4UBZnVFRqhMZ9grO/hpKgnhzuOKAjediWJVVbjZTEpita/Jbe/ghyNMtwNKYze36ryjCruzix9PcGm2T5jieDF+ZPHa+z05XlWPLJmrV3UwpNodS8p2nSquZjlUluDMpmQflZLLpHdHopApRXF0gOsllCststceQ3fa6G4HtzfEb6zIKJPtPRm8O8ogDHCtGNeJ8VGAa0fYE+uoSQZpJrPoKkux0ZE1ZwXBMMMOJBSz2ujjOwl2rUd+anWxflVWmNzh65TuKlH0npjQ/8IVOl/covO5y8Tn9mR754nP7kKWy/gVJ6U9qgr3qS+AdXQe2RERa7fCa0n6rlp1eGU9hHfwyJRk1zL390ZD+dkZGdyrPCRXKmysiMYWGymytQCvYXosofvkBJNbgnEJCrJlyXJK1yLy5Vj8XaWT19MN8UrhIk0wrRbdeyiFTTRVS+MiWddbH/gFvvl7fvE6fHEaNLj5cMOSpp//+Z9HKcXf/tt/++VeyqsONxth+rL4Sp1z3qG0QofBwrekQ1E87MVL+2GS3knpDdDtNrrVki62wUBGlQQy0oT6X5/luDQTopRni6wmHSd1nlMXFYUyF24+qLeUbjzVltKdWVnCrCyjlgao1RXMieOodgvT7xGsrYg6dRD1wF4/ncm8urzA97v7gZOVFYN5t11nJwX7Sk4Y4gc9Gd5rxYPjOzLId3rnKia3qKwiGBckT1yRUuOhVewb75TTn5W4jRV8rwNZgVcKnZeMT3eZnuqiL2xjrkzIbl+XsM06fTz+0gWqpdaC2JlJhlvqSDmrHWHObRM/volPQqqjq/gwoP3oDt3HxnSfnBCNLenRNrPTy7ilDuXxehCx96Lazc31gdmf5zc/b4HBb12h/9AeJhfCrJyUyeJdy8r/2KTznz+G//jnaX/iybrsBz5QJLuWaFLPo4sU6VpA76mMsmto7ViC1GMyj8kdLjKU3QAXaeLdiiD3JFfEZ2VKR9UNxZOlaiJmPbpyQsxChc4t84qNKTw20tiWxmvQhePNf/mXntt3pMGLDuf1dbk1ePFxQ57lP/3TP+Xf/Jt/w3333fdyL+VVhXfo77vpCNN8aO5CLXJfQeKeZy/p/RKZtxbvPKbTrj1KqahPtYl8TnjMyrIc44AyBXWLfxxL99xstj9O5QBZW6hU9fiQeXil7naEhJSVBFxaV5u662DGopChtfUcOpXE4k8KQ9nee1lPUYrPKcvFSJ5mqM167EqnLSW5OieKMBAyMT9PRtdp5PVIl04HNLh2TOviDLMzRY2nuFa9vl53P2kbyE8sUy0nqLIie806qrKotGDwuW1M4Zl8w2kYjYVwDfoyZ05r/EpfRo3sjuuMpAA1Kwh3UlRW4Q4tUx1dkSVOMpT32EGb7HgXlZd0nhzTeWSX1vkxVS8iuDITYqbF2C4lPi0z9+adczVBcxcuoVaWsd2Y8Mw2nfMZvQd3SHYtZc8wuXsVlMbcdTvu6Bqr/8eXiEYWVXri3RJdeZb/8CzhxLH6sU2u3NPCRrWSBJRdhck9ZT/CtgzFUigddCEUS4Z4WFH0aoLeChelOOXFu+SNxkaa2TGJZdCVp0o0QeaId0vKjsEHiiBzvPWBX3jOX5cGLx7m5blrvTV48XHDneXJZML3f//382//7b9leXn55V7OqwY3FVmCqzvbnL/a1P1s6tLTFal62O48gNJOJrjZbP8YSos6NI8MGEn7v2olmOWBbHaAPLnRRJSkeWTA058+ikRdmqW48UR8SLN04XHy1or3KAqlfFZf4H1V4Xb3cHtDIUm18ZswlO66flducYQe9FD9rhCjTj1kt6pgXcgH1i4ynwgMfj6Et07cxgupUps76LGci+zUMnRamFEuhux+V4bdKoXrxATTgnB7it/ZxSuY3S4ZU+ktyySXZijr2fu229l70yHsSq30DEe4Bx9H7Y5xh5Yp1zoSEzCeos5eRE8zUV1mJWjN9NYBs9NL6LzERkq2Dw3ZiQEqLQh2M1w/IT4vUQVqksp5sk5iElytoO3sSmm2kEBOM85wSz1cbNi7b4Wib7CxYrYREKyv4p88S7HaprzvNN1PX6g/G57W2TGze47IOJU85/D7HqX3mx9n5aNnMYUjGjlMZsmXDVVyIDFcQdHRpOuhzLIzkhhe9I34tQYhOndU3QBTOMKJXXTRBbkoUOlahHKesqMlDDRQDXFq0OB54IYjTT/6oz/Kd3zHd/Dt3/7tX3XbPM8ZjUZX3Ro8EzcbYZqrRcBVmUrPIEs1MToYVrkgWfW2bj47rj7unFzpViIkp6pw09niGD7PcdPZVV4iX1XyexTJfU8zo6s4FkWrDrtUYZ1GXY838d7JfQcN0N5LCnkSo3td6bCrQx7xXpSjufKkFMSRkLAwxK0v7StJSkEmRMst136mLJf11uUsn0h3GnVK+eyNp/HtGNsOJYgxDtFbu4xet0Z6aolio0NxbIAeZWLqHs+o7rmFcFTS+oMvQZ4Tb82EYFyYokuPLiE93GL6rXdCEqPvPA1lid4eEoxyITbdNv7EkcUMOjSoSYq2EF/JsJ2Y7iN75EshVTcivjwlvW0VvTuiGET4doTvtvCDrvwbB0Lw6rKj3R1i7r0Tc+wwfknI3/CeAbONkCDzBKln6YsjOpcqxt90K+nb7yVfEkVods8R2p89V4dUtnGhYrZumL7+KMVdx7FvvR97/iLhsCScOvKVEJN5WtslLpbPQudiBQpsBOmqdOkVgwDloOgbvJZE8CpWtC5n+EBGwNhEoxyo0tPaKupQUE/VMdhI4QPFN3/3//pCv04NrgMc+x10L/T2PCJ4G1wDbijS9Ju/+Zt86lOf4j3vec9z2v4973kPg8FgcTtx4sSLvMIbDzcbYZqbuOf4SuW4Bbmqh+wenCk33+9gltNBMoV12OFIWvq9k+3CAN3voTtt8TJVFUrJ6BBVRxB4a9Fxsh8PADL/zRhRfWp1SoWhlOtgn+CUJZSlhFpaB1Ul8+3Kunzmvdw/J2ZRtChF+dEE1W7hkxCVFUKO8kL20wofGTFhey9qVprhw0AG2A4n9Yw3Q3l8mXg7Iz3eJxhmmEkOT5zDL/fof+wM0U5OuJdLFtOFy/jQ4LstVOlECbr3NshyXBKiL+3g4oD+57bpnJuJ4bmlmN17FJVX+MNr+E5biNE0FzO4UZBEqNEM9fh5XK9N+9EdvNH4QFGudug+PsJrRXqiJ/EAZUXrixfRZy7Ja5kP7rXSmebjAN+OMa+9XUhUGOKTCNuNGXxpSPdsRvtCiikc01Nd2mfGJFs5ysPg4+cIxjk21gy/6RRmWuADRecjD+ECxeRIQNkPsG3D+PveRNUOKDsynHd0yoCD9hNDgmlFvhzgQghST7xn0aXHJmJAT7YLolGFizRVWzM+3V6EfrpAuuoAsrWI5T86h01krItXULbkM/it3/ELvP1tz+3/1gbXF/Nwy2u9NXjxccOc5bNnz/LjP/7j/MZv/AZJkjynfX7qp36K4XC4uJ09e/ZFXuWNhZuRMM0N3FcpRgdLcnOFpyZK822UVjJ4FzF0L0picJUSpYJQwi6LYuF90r0eZmNdzNL1jDdf7YdhMvdIzee9eUewvrY4li+rxfy6qzAnS/5p/9b+KJRCddqonrTz+ywTUrXUxbdbMjuuqMTD1O/iJlPUNMcH4j+i0xITdFWhxjMxYYOQt3lnWVYTK6Wwa33JB8pLkotTmQOnNZw8IstLU8yZS+jdCe5Lj+JvO4565AxqkhI8cREfyXy14u4TBJf2cLt7mGmBO3Mesz2m98iQ7pmMbMkwum+d4T1LuF6M67WxgxZme4ye5rhOLCXGo4dIT4oipGfSop+uR4xfM8AbRZVo0rUAe3KD4rZD+EOrUJSotJDyYRxKJ6GSUSqum0DlSG9bxcVi0M43OoRntlGVo/3EkM77P4u6tM3scELR0xS3rLPz+gGtzZzuE1PSEz1cpJm+9S4Ovf8MuvKMTgS0H77C4At7FANDui6z68IJoKFabuONpnM+Z+3PpkQjS9XS2Lah6GrKjibdiHH1rLxo7IjGjtmG2Vem1gOqtgz83f2m4/Kxq8BFCm394nNY9oKGOL0MmI9RudZbgxcfN8xZ/uQnP8nm5iZveMMbCIKAIAj4yEc+wr/6V/+KIAiwzxJIGMcx/X7/qlsDwU1JmGos1KWDRGl+O6AmXZWpNCdPxkh329MUprkSNSdSptNGD/roXk9GjVSV5Cbl+b4vqPYdXRV3EAbotVWq7Z1F95yKwnqZer/8ppSQl5p8+ekMrJMSm3VSjpsPoC0rIVDdjnTqWY+qLH5vKInaVYVb7qOiCLe5hc5LfK8F42kdEhkIQWu3arXLSSeZ0aJ2VRWu20JnBSiY3jpAT1IZgFs58iN9/ONnhTQmMVQV5vQp9KUd1MoSvteWjrpWQLmUgPdkt62Rfdu9ZIc7qCjE7+7hWiFmOGPljy7Q/+wWJvOoylGutFC5xXVbEqiZl2Libke0H98DrdGTlHRdlBpTuEUXWZB6JifbzA5HjO9cxm2Ip8pHQlAXo18APclQzsmsN+uIH9uWTrW1AeqJ86hJJuXa+n3tPzIhGObEew6dFuhpTjAuMZlF547h1x1n9Tf+jMN/uAvDEbNTfbpnUpYfzEi2S5TzTA9HVK26jBsoyn4902/qyJYMQebpXqwkpDOQKAMbKqpYYXJRy4LMoyvJhvIa+Vz4+rGZw8bSyWdDCfYsBgHf9o6fv9ZvXIMGr0rcMOGWb3/72/nc5z531X0/9EM/xF133cU/+Af/AHMwbLDBl8VNR5bgajIEz/Quebc/+uTp2x9M+1Z6vyuu1cIXxVWz6XSciNcnDEUxArl4T2f7z+U8Xjspy0V6v9PN1KW2osRNU1GyKifHtE6O42oCNR+1EsfiZzIGX6r9CIJeV8hNWUqZTYuK5Xf2RIG5cFkCJpXGPXEOdfIY7jNfRLda6COHoJRcI3odIU3z4cClDOsl0ouYAgA3qBU0azGzku4TW9hDS5inLqO6HSKjcFmOrs3V9rajeKMJzgrBsL2E4e1t2psVunBEWxNcW8zsZa+OUmi18B//PE4r7FteT/iZx+n9WT2qph+jrEWVlvJQDzMrUWWODzREAcp63FKH/uMzvNFMTiYy8NbL4NwqVrSuWIqexn/+IazSmONHqZ46K0TDecy9d8p5UIrwY1/EZTnWGFq9FunJPuk9d4np+puPYgpPkDr27uoRjyztCzPQmvSWAdGwJO8b4u2cqtNi6//yBjZ+8wvYyYT2U6uo4QR3aZPwrtuYHVqSdPLlgN6TM/Fdafms6MIRj6T8ZiNFslNSJYaqLV6n6RFDsuNI1w3tTYke8CEoL+ZxFwAKOudyUDEuUJQdjc/8IuzzbX/uvXzoA02C+EsBh8IdHCT4Ao/R4MXHDaM09Xo9Xve6111163Q6rK6u8rrXve7lXt4NgZuSMD1HzGfFwdXm8KuiBapyUYpbDNc92FVnNErrBWHyVYXPi/3sn/ltrnTVZAilxF9UlLg0xRXFgpypMFgQFKX1QqVS9fw4nN8nUbUpnPGkHsHS2l9bVUm+08YaqtsRYhUY9NHDMBwT3HYavTSQffdG4nUaTYQMBabujnMQBuJlykt53vmQ2i8+htqb1MN6DS4yUFnc2fNU3Qi+4V58XuAPr6KzimB7IkSslWCTgKWHJjLPbVYuUq7NMAUFs6+9herIErqV4J0n+NMHcZMpbqlHcWpVRo6MptheCzOW4bouiUQZKu3Cp2Rjgyos3TMZuhDjtrKSsWQjRZB5pt/9JgDchYuLEFBlDO4LD5Me78PjZ+HuW0m/+03o197O5jeuMDwVUPTqvKhC/EY2kgG8yeWU4Wu6VJ2Q5PKM4MwW+cBQDiLygSLZcQzfdTfb/9evx7VqE/69d2A7EYNHZ3X2EkyPtfChBgWq8rhYU8WaZLsg2cqJLo3xoULnDm8U8Z4nnHlUBUVPYwqIRw4bSpwBQBUrhre1KNsSyglSyivbGhtqvFG87Z3vvR5frwZfBU157sZBc5ZvEjSE6bnjqhylue9JaVQQiiJ1sBTsnSg0tc+JKJTxJ1W1n6htZJCumiePH+zYMwacw+8NcfXYk7lyZbrdhY9pbhRfELKiJlWmDl/USggTiLoU1GbvOvWbViJjTayDJMZ3EvzaElSW/LXHsE+dw6cZ5Z3HJcTywqZ01tVlP+aDbSsr4ZfdRNYdaKpBLMb25R5ubQm/NyT49KPYvT28tQSfeAgzSlFLfdQlyX9y7ZhqrYfrxJi0wuzO0JUENhYbPfK1hPTUElVLE+0WpIcSije/luDEUSlxeof/wiMo6wg3x7jVPuaJC+gLm5gnLuBjI9EBT57HLfXQ57cIhrmEYAZ1cncgZSldeaqWeIOCqa07H+U95c5bMIfWMbefJl8J2P6+e7ny+j6zNYNtR/SfLGhdcRz+w12ZK2clyNIUjs75FBcZBg9JsrdLQorbD9G5UBDt5XTPlYQzR9VSxCPH+HSH4Z09hnd02buzzfRYi6AOukx2SlQlc+u8kjl10aii7AeL+AZVytDfZKckX1KMTkpHnY1EWUpXDOHU0drM8RqZZRcrCcKsPK3tCm+khFd1xFfljOJb/mLTWdegwRw3NGn68Ic/zC//8i+/3Mt4xeOmJ0xfLtX7y2039zfN75uX67wTn1ENHUVyYVVKVKC5EmQPPN+8jDUnNUpJaY46asDaOoLg6vKyGQwkSbyq6mPX5aQ65FLFMoTXWwtao9rSkaeUltKcc1JOs1bKdKOJzGBrSbaSDw0+DvGdmGBSYjbW8EVBeHmMW+rhJ1PsRl9e03SG3xKy41v1CJVMOvVUWhDuZajVFdT2HnqSwqF11OENzMa6jIbJc9yDj1GdOU91x3H8Q0+gnCM4s4lth7hIUx7u4yJNuC1m86InpmWAsiujRZKndvE7ezICpjbqB7szIX4bHbL7T0MrwXuHfugMbrUPtxyTsS5JLB6r4RiTW3p/doHB56/I4NxIYWMZppuvBOz9hXtQcYSvKvTlXTHPh4bBl4asf+Ap4qFDV54r93UIZuIpU2lBkHlcCMXAEKSO0W1tgt0Z+aHWQuXSuaXqGIqlmKIfMDkSoCvJX8qWNUVXEe9ZuudLTOFonxkz2zB4JX4lk1uC1JIeiqnahmBisYnBhYYgs7hAYxPD4PGSQ38ypupA1YaqpSg7inBiib50lpXf/LPa1wRVomh/+hzKeVpbFTZSVIn4m1ys0YVrIgleZDThljcOmrP8KsdNT5i+Gg4SpPnvcxP4gZwmHScLpUnHiShLkRAXdTAf6el4Wvls0eEWie/JF1KOctPZVWVBOxzWBnQnLf4Hj1GUErxYZ0ERhYsogvngXm8tfpbih2Mp1cVxnQ5uRT1SCpVK+KN54qKYvO++VYIjP/sg3lrM9hi3PsCvLVHddyu+HVOudageelSCHisJu1TTDN+J8St9fG1ax3tRt8JwkTOlwwCdlahWgv38w1QXL6P/+LOEuynBMCO6NEZZi4010VjCGNtPTdClGJbT08t450Rpmp+nLz7K9LXr5EuG5DNPkr/mEPkbb8PfegxVyjkpT67h2y1cFFDdcgizM8UPupBmrH3wjKg5BZRtRdlW5ANNdt8p1KAn4Zl3Hsc/8hT6zGUIDL0PPsjygzM2PrZL2Q1pbZa4doxXoEvqtQv5Gd+1QtnWVL0QlxhcKGQwXzJ0zqfEe45w6rAxuBBsDMFUvF2tSynZoQ69s6XMs9NKBg0Hini3xGQOG0ukQLEa443CRUqGHRuFDzTrn0ppbTniPYc30HrwkgyQtpbl/88nAQgyz+XvuIX4449Q9A3d86KAFV0txvJEowvPt3xXQ5xeLDivrsutwYuPhjS9itEQpmuDMkZmyxkjHiOtxGNUkxvv6iwlrUXZObhvnW8kJMYu1CWcF/XJ2to0HohyArh5WvccXsaiLPZVCl/uRxX4PJd5dcOxEKS6ZEdgxIweR6huR5Ss8QR/eA3Xi6WMFhpUUeJaobTaz1L0uU1JGwfcN95b5ydJLIH+k8+Dc0TnhwS3nJI1tVuSnK01qrD1rZQognpEC3GEPnkM3W5LDMPj53Hj8SKOwTuP/fzDdc6TeJGC1NJ6co/k7IjhPQPGpyJaFybkKwH2DXdQftv9EstweIPg8Aaq8kQjy+hbbif+/Fniy1Mmp3vYbky50sZrRbXaxnZCIR1bV1AXt8RTZTTdp1JWPrFN71xJkHoGjxcE05LJ/cfQW0MAdv/y/bjZjOKWdXxZYsaZzMDbyQiHGbYf07qU0b6c035wC4BwXBHMLKbwlC1NvhKJAX5aYXLP+JYWuvLM1iUaIJx6opHHJgYba/bu7KI8xJcmi843XThcoKkSIenZWkAwrcDKbLkq1kR7hYRoLouZPt61oGDwZMWVt56g+NrbF368lX//MVwA4cyz9ZfuIR9oRrdEpCvSmVf0zIKMqaohTg0aNKTpVYqGMD1HPFsnnTGiKs1nvdXddcCig0qF4b5yVF/wDz7uvRPSMC/VzdWiufE7CLA7e7JLGDxziO4cVSUdcq1Exp20koVyo9ScdEWSx9Ru1c8hJmycE9LS60K3jRpNMee2JQ9pXEcTPHSGaiC5Z248QR85RHDyGOGXzqIuX4ELm/jzl/Bfdw9qOIXhCNIUel18HFDedhifhPhWJP8m4WLArW/FspZZiu60QWnsaLyIaLhqjMyDjwNg2wHKyigT5T3Ln9om2XVkhzu4QDE9nhBfGGGOH+XyX7gVe2Kd9kNblB15L8rXHMU/+Bjdx8ZMTrWwicFk1aJbLtzL8Lcdx2+sSMkxCAjObTO9fZl8KWDpwTHaeopBRPvJMdP7j2EmOSu/8yUAzLSU8TN7E1RWoiqH3pvW5nVwkcau9WQkzOFoUVbNl0QRKvsB4V5G1VJ4oyi7oqq1rji650qWH5yiHASpxZSecFSQHekKabEeF8nnzJSOYFaRbFekGzEoaJ0bE2QywNcbRTCzKOuI9gpal3OSD32elfd9HmcU5rW344qCvR/8+trbBShIdix48WWlq6I0VS0tpK0Oyfzm7/nFa/vONXgG3HUozTXhli8NmrP8KkRDmL4KDgRYzlO/dau16IxTQbg/EuWg6Xueq6S1pGwfuA/n9nOL5iNajJHt6m4wVpZg0K+H49beKF3PMnuWnDHT60n5zUrX2nzenPdOOuBARqPM/VQg5KwshbgAjMby72S2WK//3CMSYtlroVaXMR//In40Rp84Kuu0Tkpr3kv32MYawfkruK0ruL2hjHNJInwQEGxPyQ91wTkJg3Tg+i18FMogXy0EkaUB5q7bZbZeTVSD0yf3s7CsRV2+Ih10uzNJ3Y4CbD+hdVHKie1LJdGeZXrbErO7D7P6+Sl86kH85jb9L+xI4GMiXYX+C4+w9KHHJel7VhBMCqp2gO2KqqcKi9pYw527iD28Qrydo0vP6PYu6VpI+4ldlPe0/tun0ec2pfPQGPRDT+LTDHvxEvbxJ6XEGYUEeynBzpRwJ8UbjSkd0ciSXJK1Dx7LCWbihZqd6kk3256ley4nSD3tCxK/4CJDOMoJ9lKSK2LMRilcoKja8p7O1SblIZzIAOBwXJId7YGS91gXDp1bfKBxSW0If8MduDSj9eg26S1LKK1Y/o8fJ5xKeVJXQu6C3OMNuFBRdDVVTJ0grrCxEKlv/c5GcbqecF5fl1uDFx/NWX6VoSFMXwEHzd0H7vPWLlK3vfOLUMmDvqa5YoD3+2W5OQ6GTsJCXfJ5LuW1OtySvaGQGO9FqdIKtzeSDKanxxcAdjym2trGDodUZ85JblBR4EYTqvMXpcstMEK48lzIUk2+riJ185ErRUl1/gK+KrFnz6EubYu3qiZGPg7Fk9Rp4Vf62JOHIY7xrUhM1XfdinrNLfhbjkkGEuD6CckTokiZs5dReyP0xSuo0QTfSSSXqpNAUeCfOoc+fpTg+DHMfXfjljqY++5Gt2RsDO025guPMzu9BOMJrhWiswo9zslWDCa3ZGsBVUtGheRrsXS6HTuM2t5h5UNPEl+egNLobofZ/afwvQ6qtLg4INmcYYYy0863Iuk467TQj5/DtgLi3ZLJEc1sQ8vre+oCvO410tVYCDnyeQ53nUYP+kKKI0lP96GhWumgsorgzBZV25BsplS9iM4TI+KLI5TzjI8FZMuGIHMUPU26HpEta3bvbElid+Ww7RDbSwjGJVUnxCtIdsTDpCqPshJIiZfAyu6je5hPPkQwLTGpBG+azIJWBKMcnVuKpQidWcyxw9gz54m39xsa+v/7/yAazc3n4AKIJr42yQt5qmIlz6nABYp01fD2b2uSwxvcfGhI06sIDWF6bpirSEqrRR7SolR0VSluv/Pt4ADbRafc/KbkAnbQe6QC8SqpWrFhPlJkjiBARdGiLOeLEjPoL55Tt9voKML0evJzq4Xp9cBadL9bkzovw3MBX1ZU2ztUW1eEaO3sUm1tU21uUZ07Lz9fvLR4eu881dY2jCaojTXKo0tyEW5HuG5CdriDzkvKEytwflNmrgUa22tRbLQp1ru4doi5MmF21zr5G26juu0odNq4wysUtx8GkK64doQfdNEnjmIHbdzGEj4QYmLbEerWEwQnj+MuXsZOpnT+7By0WoxubYNzTO5aJrlSYUY5S//fz5DsVPQ/fo7On52vOxCdeL1aCf6xM5iNNUbvuIvWnzxMdnJAfnxAsDlCjzPSkwP0lRGqqMhXE/yJIxSvv5X43B7R55/i2O9tc/iPhmy+eQ2VxJSDBL2xhp/NsLtD1F23wRcexe4O8dbiPvsg9okz6LSUWIW8wC91CUcVZT8mvDxBTVJsP8EmmuWHMsKJo2xJKOX0sGbpkZQg93SeHEuApVEo67hyX4fx8RDbEg+TyYWMF0shJnOUvRBdOmwvoXrTXYtuw3w5xiaGqhMwuaVLvhoT7RXi6VrpyWfnE19YfA4Akt/5BOl6uMiukggCRzyqVadAOupsrFAOopFjeiTibX+uyXG6HrCo63J7PvjoRz/Kd37nd3L06FGUUvz2b//2l932R37kR1BKNd3qNKTpVYOGMD0L1LN8vOfDd9knSgv/0jyLad7FdqDUhlb7hOlgSU7V2xgtZTOlxVtknSSGp/Vf9JXd30drUX+CQDKdshxvLXY4QtcdeS7NxBhez5FTUYQdS6nN7g7RrRbVmXNSLitK1PqqZEYlMcHG+qLT71nPASxer728iX3yDGZW4mtDu754hdbDW+zdu0zVMuRfezt6KuZu2wlQlSe+OELnFdktKyTnJoR78rjrJOgzlzFZJR6ii0P0JKNcbtWhk4ZyORE1pRViZoWU4c5fXCh8bnsHt9xh6QtiwsZDtJdTrrXQ3Q7RTobvdfDjiSiEl7fwsxnu4mV8UWKPrtF7dIRKYloPbRJMSvzlLUk6tx57eBl/aYtgVqG3dokvDHG9BDot1N4EvbnH2mfG+Lwg/vxTEIbok8fR991Vj2g5MGuwbg5wZ86jNndgPEGNpkSXx5i0YvS6lYXPrfvFbcIrU1ykCGoCFE49o9MtwolDVY5iyWATQ9mPCKeepUdSTOokpmAQoJwnGkoGmA8UxYp0zXmj0bMSXTpM7tCleJFM4TGZo2oHmLSk6sXou26T0/q0YdW9//Q/6H/0UdJVBV4iGEzmaW05oqmT4b5tKdPFeyXeKIq+4S3/U+Nxula8HOW56XTK61//en7lV37lK273vve9j4997GMcPXr0Wl7iqwYNaXoVoCFMXwYHy2vz3w+MR1kQC+QCMvc3AU+LIThAmGBfMTqgHKmD25flwujs06xO/K6fx9ZjScpSMpjiGBWG4vUBdL8rw3rrdbjhiGB9DTsUAuHKCp3E6FP10NXVFRmtMp2h738tLsupNrfktYTBInzzIOYX/ODkMczqCur1d8EXHkNv76FHKdWpDYpTqyTb9ciYwuLaES4JUaUjGBeU613K5YRwXEj+kVEUgwiMktTvUYa6tI2PA3wUEG5LV54PNC4QY7GNtQywTULsN92HWVqS11gU6K0h49cMSE8N6P3Bo6jcEj+6iZ+luE99EZXm5F/3GiFZsxnqjtN12TOg6kXw4BPSCTidYpMATh9neu8hkj9+EHN5KITu8ljiFJY7VL1YUtn7XdzGEubcNliLz3Lsk2fxO7tkx7u4J85ICXQeeGqMkOM8l3mBown2/EXsI49jxim9xydSrv3EF7BPPIV78HGWPnaRKtbYWNHespKTdGHejVcxORKQDwLCqWRyBZmlfSFFV57o/J6co0gtOurKXoiyDp+IiV6XFl1a4t2ScFRSDALCSUW+3kJ5GQCs2+1n/cpU2zt0Nr14mVr7n2ldQrLniMaeoqewsVkMBQ7HtkkOv0ZYrofa9PzwwAMP8LM/+7N8z/d8z5fd5vz58/zYj/0Yv/Ebv0EYhtf0Gl8taEjTDY6GMH0VHCRKcBUZ8lW5uH25bZ4BYxYkamEMV/sqE9SmZmPwRSnlt3k2k5a5dFiLn0xRAxkgrVaX5dDdjpCqzn4nnYpjUZbqi5yOIvRx+YsveM1tcgEPAinbbQ3hG+8Tw3K/izKG4NCGhGTWCNbXMLfegtlYl2Tww2vSAXb8CH44gqqSUlZuMYVDW48uHFUvkoBGD2Z7RPjoRXQ9o8x2IsyVCfFOhm2H5Ef6Em2wsYJKC9JjXTCGcqNL9OQVknNDwr1agbMeF0ogY/k1t8prAvxKn/6fnmN8TKIbsiMd3EoP7xy6leA2t4g+8lkhu0G4KIH6siL+7JNCDO++FTodogtDRnct0X58D3fPrWKAX1/FnbuAyqUDLpgU+DDAt0JU5SAvFqTYrK+ilKb98cfRqyv7+V1PI9hKK1SntSj/2i8+ir6wTfXU2f3PnLXYs+fovu9P2fjjK5jU0blcoYsK+4VHGJ2OWHo4pbVVSFJ5J6BKDPlajI01o/vWmZyI0bmj++AVVCnDd6tOgG0FFMsRthXgQukmVB76H31USnm5w8aGshdSfO0dBCeOXpUNNkfvP/0PfCChlz5AVDHvKdu6TjuHbDUA70n2HMNbI9K1oCnVvUIwGo2uuuUHcs2eD5xz/MAP/AA/+ZM/yT333HOdV3njoiFNNzAawvQ8MC+9zbviDj50sGNujnk5blGGqctyzu13unl/1T7zMSbzUSkqrIf2Wref41STrv3utwCKEr2xJnPh+n0wGnP6lIRobqzjqxI3m4m3adCT1v5zF+WY3otqZQykGcGFXcyRw9Kpd+sJiCOC19xGcOstBLecwh3fwAdGMpZyKbH4sH6NRw7he+26Uw+U9ZjUUnXDRSJ1eGlEesc61enDZKtRXbaD8sgAVTnyFSkvFssJGENxcgWTOSgt4eaE2T2HGL5uhexIF9syYKQrrOqIB+dg3tXw646jK8/wrbcT7+bYTsT4z98nCeNpJobvKBKiaYzkVlmLLwrxjNXhlj4J6T80ZPdrRAHzoZHohDtOA5CvJ+i9Kb4VoseZvL9ry6jD66h+j/HXn2L2DbeJh2k42ifixkgSu1bk73ojIMrgvASstMJubl1FyOckxTuP/cIjhB/6M1r/vz/Df/ZhgrUVWtuO6Pwes8MR08MBRU8TZJbJ0QAXQtXW9B+bMT0SMn7tKtlaAEZhE00xCKliTdEz5MsBZS/EG0X+ulN4Lb4kFyrKrqFYCrBHVuCNr0V93TNnd67+bx/bX3PpcaEiHknek9fy2a/aMl/Pa8iWNeOTYWMOf4G4nuW5EydOMBgMFrf3vOeFvSfvfe97CYKAv/W3/tb1fKk3PIKXewENXhgawvT8MR+4e7C0svhZq4VCdHA2nHfu6rLc/KLuvXSo1cRKGbNvFgd8molKNBxhaiWJqhIvkz/gJalsPSfOXz3A1zn0yhLu8iYAZmkJtb6KffxJ/NYVgsMbsn8sAY3URmjmPqhugioq/KArI1O0RuclejjDdxKq5YGQPudxkcFFfUmr9hCe3cGbDsEwIz3RI5hIoGb0xCaze46IX6YdYHIxIeuspOy0KLttdCl5RdFeTnakS75k6D05Y3b7EpMjAe0tS7JTyTiRdoQN5YKvrHhoqsefApD07rZi5fMTbBJIOejJLQaXIopvuo/gEw+hjMFOpnL+Z7moTlrJfVrBF8YSHLoJ7mvuYOUPzlLcukEwkvb+Yr1N/IkLtOJQBhEHGteOUVUlhLLXgsmU3v94Cr+2hD9xRHxVuSVbi+k8NYasgiig/Znz+G4Xn6ZSEq0HKs/Lvk+H0grvPObYEeyFy6gwwO4O6fwfn8R32vT+8xncN96LTQKylZDlL6VMTiQEMycZUpsV0bDEnkzIlg0m8+j6c+VC6XKzTtfn1pNsF+SrUZ0qLrdsIyG5mKLzAv81d+E/+9BVPqe1//3PmPz51xNOK4qBoehKWdVkXuIJBhpVQbLrmB3SxEOPV4q3v+09fPBDP/XCv6g3Ia7HwN35/mfPnqXf7y/uj+vw3OeDT37yk/zLf/kv+dSnPoVSz1Qjb2Y0SlODVz8OluTqi5ieq0AHyizPGKZLnclkrYzvmCs684tgPTvuqu66mvSoThvVSoQwzbvswlD2OVDaEyJWp2drJY/Pj+0cutdFt9vYvT2qRx6TeWtHDsk2eZ0g3kpEOeq0oNMWQ3ZopEMtCnBRgJ7muFZIeXSJcrWNbRlsElDVs9+8UQTjHK+gOLWKTQKK1TbhsEDVr82t9kVBsx4XSwxDvhajx5nkBllPvhzIOJFJRtXW6FKCIvOBIR5Kq3zZNWTr8h/5/MLb+c8fJ/4vH1+oOOaJC4RTz+5ru9hWQPjZJ6iOr2FXOpg/+ixYR/mG16CTWIjSE08tiMj8fXZvvm8R+xBcmeCXeoQ7qfiXuh2iKzOqe0Vtcq0QnZboaXa10f/UUSFMgUaPZ0SffIzgc08QTi3eGFSaozd3cFd29mcIGrPfZFCv6emm6zmqsxfAO7Z+4H6Kt3+NxFBMJVNLf+wLJA9fIsjn6d4yky/dCBidCtFZiS7BhpKj5LWMYim6GmfEsI1HPo+VJdorF74pG0KVaMa3d8iOSnq6/7rXEdwp5dHg8Ab2jXfSupxhpgU2UoRTJ0N+E0XZ0SS7dpHf1LngcCEMb4uZHY74trf//HP5ZjZ4EdDv96+6vRDS9Ad/8Adsbm5y8uRJgiAgCAKeeuopfuInfoJbbrnl+i/6BkKjNN2AaFSm5wc1v4jNPUfO422xrxDNMSc/c+Lk/X6nXVHWxmqPz3JcUWAO+JW8dzI6Re3nOckxD/xdUpeRroogmCeKh8GBBPESogh3efvq0SpKE8wDKMNQCFqWyzDeMABCUa7ygmB7jE9CXNvgYgODFi42koytwSsFBuZdyi40uJUWXit0nTbtNaAUZpSj98YUp9bAeaqOkQsyLMIURb0Q4mRbhuHrVnChtKcXPY1yoiS1L2akhxKCmcyYS3bt/rHq14h32L09gsxRtg2tx3eo7jqFGaVUy23CQxv45R7RF8/g4xg3HmOOH8Weu3AVcdJ//Fl5beMxKs3EX9brEp3fxB9ZQ1/eRaddGI6xpw+Lidp71M4Iv9yTDCZAVR5vDG7QhvOXUK2E5LFtcF6GGjvQ68tCuGYptBLc+UsypLkorirJzdd30EtUfcvXsPEnO4zvWCJWGtiPv3CXtwlOb1AshbQvlcwOh1SJwkUwuqNHsl1RdMWgW/REKfQaip4iUkAmnqTZsbZEBeyVVG1DNPF4BTZUVG2NC0N04URhjO7EAyat8EoxvrVHsmvJl8T8baP99zsaO/K+pmqJutV/ssC2NLZteOsDv8CHf/fvP8dv6c0Nj8I9z8iAZzvG9cIP/MAP8O3f/u1X3ffOd76TH/iBH+CHfuiHrtvz3IhoSNMNhoYwPUfMB+8qvchiOggdRbiyAnWgfHKQMIFc8GrlQEVSVvNFUQdd7nuUfFGiolBKckl8tVIxx8FRK1WFLyvscIQyRtQo5yFPod/DX7yMnc72k7OPHZUS3iytx6QoGbrrHCwPwKe4lR768i5+uQfdBB8F+FDUJGXdIpxTOYQ4KVBOyimLJQYak8sYDSF2GhsbJvcMCKc98oGmc7GkaJtFJhDA6N41UDKKI5x5wlFF3o8IZx5dOsr1AOU9ZUczOdnC5B5detJ1jQsgSD3FO99I2TX0/s9PoU+doHr0CeL3fxL3F74W1xfCpz97luD0cVHYLm6JiDI3XZ+7cOCt3ydO88+BKwpUEaKchTjCJRHmgFKnKiseKK3xqwNUUWF7IT5Q6MJizm5BvwsnjuJ6CS4KMFcm6EfPoXpdyhOr2I0OunRE53bRxw7jLl4WYh5FuDRFh4F85ri63d986JNYpWl/Hp421AdfFJg//Ayt+19L1Yvk/VOgLJhM/ETeQNFS9M5XZEsGbT1OK/KBQrcVncteyGysKXt1ZMSO+NmqVkjeF/IK8tkoVqXpwIVKxrkUjsmxgO6Fita5CdUgkbiBXkDR1RJ4aUB5GJ8MCaeeIPMEueMd3/Sz/N4f/aNn/Yo22Mf1LM89V0wmEx599NHF70888QSf/vSnWVlZ4eTJk6yurl61fRiGHD58mDvvvPOa1nmjoynP3UBoCNNzx+Iv+ad1xc0N3+7A4NuFsXfRDVUrBAdkbRWG+91yrQQzGEAYiLpUJ4rP1SJflAtfks8L/PziHARCmOqSXrCyLN1705k8dxJLFtJ0htKK4NQJgttv3Vet2i3ZpqpjCzptGY+iDd4YqpMb2H4L146wnegq75QLxMjtQo2q6nKbkVli89+jPemyqVqGYimiagcoK8NwnRGlqOwIwfQatJVEam8ULkAupF3N5HiEN5D3FUWvHv1R1Rf3niZdMwxvrf1MkZR6ioHBBzD8S2+kPNRb5FXFV3JUVhA9dlnOXRRQ3XkCihLV7QjxrIcqP9v7P/cVAdjJFHd5G6IIZS3u1GFsXwzr3tQJ50mA2tzBLrWpeiEmrSgHMcWdR3Fd8YzpWYG5MsEudSjvO011bBVdWIJZhckq7FoPt9wl/5bXUb35dfsDmcsKHQaSYv5sn8+Dn8eDryWOmdzSIV8Jma0rDv3+RZYeLRmeFsN3tqIoenDltQHayrleHErD9JCh6BtsLOe7GNTvSemIhxZTgskcRT9AF46yH2Bj8UOl6xHpqiG54ih6ht3XDaRTL9KY0tM9l6Pc/nN5pRZz6/ZeEzE51eIdb/m5Z77GBi87PvGJT3D//fdz//33A/B3/+7f5f777+ef/JN/8jKv7JWNRmm6QdAQpucHby0qCK9O+p4rREqjDKIeVdV+jIDdJ04qFgJDEEinVppK3pGT8pzutPFFiZ9rA1rtRw9EUibz3qHiaF9lKkuJHWgltY/JERw/BnGE391Dra9SPfy4eJaS+OohwPPQy16CSkLULN/3VHXb6KLC6QA9E4KmrPialPP42m/k4jqfaZzjEinp6LTAhwYXGYpBtBgIq/zcKyOBispBkPlFVx0I6cJ7IU1GiZepVkK8EtWiasnPVfy00oECH4ByonhViVpc7IvlCPfnX48uhdClG8t0/8uT6JPH4fIubF+Bdhu/s4dZX8WnGW483lcX2VdyDpbG5p8LZjPs8WVMWmEu7Up4ZWGlc246w544tCBRthUQX56K8jRoUdyyjk0M8dYMPc0x4xQfaNITA0zuKPuxRDFoRTCtCK/MKO8+gS6OYh49hxuOhGAvzoO+iiQprVBBclVZ1qWZxA+0FOufznjq+46gK1h61LJ3u6F3zjE9pIn3PLMNUfy8hvamnFd5r1h4opSDyYmIIPWY3GFyKRdr6xnd1iYaW6K9gmJJjOOmFK/U4MERLg4Yn26jrCSHx1slg4dLiuWE8fEQbSXmIJx5WtuW0ckAZZPn+rW9aeG8wvlrK6893/3f+ta34g82pXwVPPnkk89zRa9ONErTDYCGMD1/XJXsXWMeODknUD7PhTA5LwTkwPZKaxmFovfLfK7ujFL1kF03meAmE2lvN4ZqZxc3HGGv7OCrCj9NsdtXIAioLm8KCWu1pLxk7VXdbnZ3SPXQowS33SKKlbX73qg4WqST6+0ham8iay5rU3maodICszNFZSVYj57mBHszGSQ7LjDTAjOrxKsUGsxwJqMxejG2FVJ2w3o4LIv2dJQQIflZSNCc5CjnF9uAkCxV//87rxKoud/LyEW0d67EG2pP1ZxYUQ+LlVyghXqlRQVztX+m+Jb7SG9bJbvnGMP/6Q1M3nYn07ffI+pbbZ6fB4TK+6euylE6qDzRbhPspdhWIOrfaAxffAx/aRO/vgwazCRHOU85iMgPdRZG8XBnRnJxgioqyo2uHDMKiEYlurSY1NL6k0dof/xxonN78vTW4wODvfMk6r47RWk6GKQKC7VTRRG+KjHLA5nJVyOcWrxW7NydkOzI+dq73ZCtQboiXqZsRWHDmohayJYVVRtsDGsfOosphPgqTz1XTlTCYGrxCloXM5YerFPnWwHhtKJ1KSO5UuECxebXDdh6Q6cuwzriYUV6pI2Lxeu3/HCKMzKnzuSSRN657PAa3vrAL7ywL/JNAou+LrdXEn7mZ36G2Wz2jPvTNOVnfuZnXoYVXR+8ss5yg2egIUwvDL4qF1k5ByMG5mUfQIhQluPyTJQIa8F5IUrzcs8818m7RVlP9XuS0F0f0w5HEmTZSmSe3KBfd9ppdK+H2xsSHNoQkpTn0GnjZylUlcyGe/CRAwv3MkOt3ZLhuWUpBGl3KGW5aSr3TadCGHSdeO495ZEB1XqP4nCP/Eifcq0jbfSxdNC5UC9KKNVyGxeLwlR1A3wgYznmpbo5oZmTJTH/zs+bXGx9INsoy74hvv59TqDwcoEv24rxiVCMykou5MoJoSpbUtLRlSecOpwBUzhQ0H5qIkpWrEnXAoqeIUglaLHoavbedIjtv3wvo7/8pqvGmyxOp/NXdbIprWR48MNPUA6iOpNKoaIIThzFdiJsEjC+vY+NNC5Q6NySb3TAWor1Liot8EFA+JnHYXcouU/OEwwzWo9uo/pd6HRwnQTXCgk2RwRPXkaVDpVVqFtPoO88Lc9Zfw4Xn8c0lQynnd1F1IUOpSOxvVmy/FBOOPWsfkGUqPgKVG0oO9Da9gQphBPQVt4HF8q5vvQdJxl8aYg3itZmSVTPlPNauhldpMgOJZRLMeFYTPplJ0BVjuTClCpRhFNP64pDlzDdCJhthNhQsX1vi2xN1Lpo6iQPKlAkl6a0L+V0zmfMNgK+5S/+r9f6tW5wA+Hd7343k8nkGffPZjPe/e53vwwruj5oSFODGx/PkuCtjJERJcag42RhDnZltTAPz1WnxT6t1qIs4otiPyhxbih3XkzFu3v75MsY6aJDyiiL0ov3Mt4jDNDLS9LtlmZykc4LcI7qzPn9BXtHcOrEIrNJeY8aT0UJ8Q66HZhMZdNZCp0OPgmpTq5THVmiWuuB9+hZiUkrMX8rUZKEdEjOkXJgOwFmVqKcJ96cYmZ2oQ65cL8rzkaqvtXqk1GUbbVQifCyvQtEjfK1ggQQTqR886xvlxN1yUZgckBDPlBUbUXZ1ottlPVUywnhxDI9ZAinjqKn0VWtdIVCxqqWouhp7N23XBU5IB8NdVXbv69VRTUfI7I7BGD4rrvZfcMqOiuF8ClFui6lyWw9Jlsx5Ef7BNMC129Jue7uU5R3HMNrTbA5xLVCKEoIQ9zlTdRjZ1C5xZ27yPQNJ1BfeBSV5mI2j0PUa27B9HuLOYCLsT81bH3B8c5jMouqPOFOSvdshkkr1j9dEORgMiFKZUdOflnnprpIHpNuOtj6uiVaW/L6smVNFSuyZY1NZIacM7WfbRCgrXRJlksx+eEO658cMngsrX1oEKZ+UYqLJhJjMD3WwmSeeOTQlWd6S4/ZYWmMiEdCpr75e5o5dc+GeXnuWm+vJHjvnzXj6TOf+QwrKysvw4quDxpP0ysYjcr0HPFsZlqlcWkmF01Tk6hA44qivqBeTZh8VeLTVEZ0ZDl4h26Lb0m323VJrgBj0N0ObjrDdNoyFmN3CN5hViTEUikNcYyez5mry0feWuyZc8/6EoJbTi0CFtU03x8WPJmK2tUOxOektHTHeY+apASTdD8UM4mxvRZmmOLW5coZDHNU3cVXHVut55R50mMdot2C2akeLlBEexUuknljXosC4QK1X3KbK0+ITwkleU14KafJRrUZWMsFfGEQViyiDebbUB+3qitQUqLzi1JgESp0pamcx0YKU8DskEEXnnTVgJJ9yrYSZcvBldd3WAnuQf3RZ68qfT0jI8l7fJ7TenxPhiYPepRt8VRd+uYlemcsNoL2ZYldCJzDBZrh6QjlIhmCW3h04dEWup++gB90ZfxKEuMuXEJ3O9JN+eR5vFa0Pvg59NIAN+hQrrWIz9XKYbuFWerj2y04W3cABoEY3OddgF5ISNHW2ONdbKhoX5Cyx6E/ztl6Uw8bQ5HIjDhtRV3yGryV+8oe2BaU7Yggg6VHCopBwOSoqGmtKw5Xxw9EIynXmfmYnETjkpB8NWLw6Iz0UMLwFoOuFNHEU7YV4UTTvphRrMSYzOFijckcyWZef64U08OaaOR5/d/+f/CZX/47z/o9uFnh0Lhr1DCudf/rheXlZZRSKKW44447riJO1lomkwk/8iM/8jKu8NrQkKZXKBrC9AJwcAaYVoBZJH3Pzd/iHVGL0trBC6orK/EJzc3ERbn/bySmcl9W+KJAd7tUW9uL5w1WV/F5Lp1vtV9Fz1O7sxzCED8Uv0hw5DDVxUtXr93LSBQ1nom6BPjhGLW2IspEK0INRXlQu+M6KFMuulgr61MKPc3xkSgkXiuqQbwIpCy70hWFEoKSr4rZXZeeqisZTsFM5KFsLVxk/sxJjy7lmLo6WF6rvULz/6/n/MmwIE1yB1fp2vPSH7ViZeP6WN5jxiye28aaKqlLTUGtnBgp+dla7NNVfXwH2/e1Ua/7BoLUs/ahs7itK+IbY588ueEIby26fn+5cJn1D84oTm8weNTiYkO8Rz3WxROOSkymiUaaqm1wASRXKopBQLqiKL/pOMt/ukl+apm4cpIHtTwQpbCqUFGIm0xxV3bQ1hJvBRSvOUL08AX8Sh/OXUbV76U7voEepXDXKdSfPYRZW8Fekse1DXAKqpZmeEeXIPWE44r+EyXjk6H8Z66EiOqiLpU6KdEFU6i6kK/A8X/zFG5jCWixMoK92yOqRJEvK1pbjqJvaOUeZxTaKOKdgmI5QueOYHdGHBn6WtZhCs/gsYzt+1roSlQl29K4EPJByGBUEkwKomEgKlWsOPSx8Zf9Ct+ssF5hr1Eputb9rxd++Zd/Ge89P/zDP8y73/1uBoPB4rEoirjlllv4xm/8xpdxhdeGhjS9AtEQpheAp5U35q3mutODNJW5YXkpZbXFNmD6bXya4ooC3Wrh0nQRejkv380N5KbfW8QR2OFQiFJNsKqdXUkZ9w5z+Aik2SLtef58cwPwMwgTCFHKcvxsBofWUeMpqtcV/1IUoUazuvRTz2czGoJE5sgFBteLa69RTRwrD6GSpG7nKTsBLlToSvJ6bFj7jrwoOzaUSAI7CKTjSkHVkpEZQG0eVvVFWNWKkapLdEJcXICQl3lMVVCbwb26Sl3iIGGaw4siYkpROOZK19yD5WJ5vGopgtRLN17tjTIZUEci+EDKhQB7bz7O5MhJdM2NghRW/8OfSrlraUn8YK1EOhfTDDMtGd/WIRpZmc/WE4VLlx5dOZT1BJmEOfq6W7BqK/IBuG/YIF1X2CgiSJeJRp54uEr/I4+KT6lWOP3OHioMCD6+ByvLZMf62NuW6D60A5MZepzht66QvXaN7soSJDEqCLFxQLQ9Iz3WJd61jG4J69JkiA2hbINtCzmKxp6iJ+dBORadirqQ9+rx/9spghlsfLLAGUX/iRIfKKKJlGN16clWA4KZfLbLvniXwhy2vnGN1c+O6e5ljO7uYwrP7FBMOPGUXYPJfd0oIMcpliJQEVXbYEpPa8cyur3LO97yc/zeH/70C/22N3gF4wd/8AcBOH36NG9+85sJw/Cr7HFjoSFNDV4VkFKGrkmOdM/hS+xojK5zfHS3K7/XfiSlFW4yWShRLk0XXqdFVMEc3mGHQ3QUobodtHXY4Qjd74pp90C8gdvcqpO/63DKO27FPvaUDN2Nk/1jH/RiZbkoTf0+pLmYxidTiJL9xPB61h1hcNUcPN8KF2QJJ7EALhKyNPc2mdxRdcJF2WVu1sWLcgOIGVxJecdrJITSAvPOuLoU52oVaV6KmxOmuSI1L9dp5/f9T9SPqf395kRKwYLYqLp7TtSwuaLlF2RNzM3SZaer2qRel6WqRGFjCKcQjee1QRbkyiZw8cfeRDiFQx/ZhNEEv9KXCIg4Jl9PKHpCiEan5LkGT7g6sVwvcqiCzFP0jZTpciEi0dgRTWB4i6FqQ76syCaG6ZE70RUUXTj+//6CZEsdW6XqRZipdDOGI09xpI8uuphRirvzJN3PXhYV6uIWqpUwOxTjjsdMjmp65x1VG1pbnnyw/54FO1AMYNqV8+cCCGby/jpDbfyW9boAsrWA1uVSym+1CqQqcJF04fmuJluRmXJB5gimJa0dQ3a4TTgqaV8qKPoB3ihJBh9oTA7xbiVZT/VcwXhPSJnXevF5mB5NeMebf5bf++Mm+BJensiBFwOj0Wgx9+7+++8nTVPSNH3WbQ/Ox7uR0JCmVxgalekFQmnw5b6KVJUL9ckVhfxciOlXry7jR2NJ3UYI1mKYr9IoE8nIFFiU2xaxA2Ul5mHv0FGE3dnF9HrY8XixjkXGTr2W6qFH9x/Ls/0lG4NO4sU6qJWqeeeeX+nXEQIOtEQP+HaMyiUewQfyF5y0fANaYaY5thtjckuxFBOOClFFtCHeKclXQmykF9ECUJe+IvUM71E49fX4E1F+tPXkAyPeo1C2V76+INfRBPPuODhgGTvwXP7AxVs5eZ4gFWIUjf2CoDnNImNIOTl2kHoxnYcKr4QguVC2XSRl1yRwctyg63whFKgKoomUrmZHYOvN6/SfHKBLy86b76Z3oSLezij6hnRNE05l2+lhTRIpWlsleIgmTszqXma84UXpms9gi8ZQKCjq60HRl+dvXYanfuweNj5Zki/XoaGJQRcOk1mC3UyiGKKA6fE2u2/vUQwgmK1h8jmJldeZbFdMDkdkK4ogFXKbrkl3W/8pz/Swxkaybb7q0bkSUlqfn3kkwc7dGn17zPKDjqKnaF2xVG1NPLRMjgQkuxXawuRwQDyE7NY20cQxPh6gC8Pg8Vxe89BS9owokyWYriGYWnSswXqqlll8JsquJtmzpCsy3qdJDBd4r3HXmAjur3H/64Hl5WUuXrzIxsYGS0tLz2oEnxvE7dP/ML1B0JCmVxAawvTVsSibXXWnqEPzdvODc+bmj8+v4Kbbxc/SqwIGla5bzuuOOzscLXwwckAhTPPhu9XFSxJKaS1+cwt3MItkzhSUxnTaC9I1jz/wlv3H11epLm0S3HHrwvfELMX3OzLSw1FHCih8EqLGM7wx0NKovITQYNsRyjr8wTl23qOyChclQkKsRyuHmRYEs5LxLe2FlwiEWPja52SK2vcTKMKZA+uxiaQ/ly1NMHNoK91upvD1KA4lJTdfCzvzsXvV/vEP/osXEqNlig2mkE47b+R+F9RdevWIEK+krOgPzMqzMQSZXPxVWKspAfSftEyOmQWRK3sQ70Jn0zM6KepRfAWKvmJ2JCKYOXpnS/KVAF1E+x1/HqKxPE+6pojGWozfhcMEsp58EDA9Dt2znnygiYe1gmcgGkpJrOx5Nv7UY0pPNtGMj4egJWahvaWwsQEfsvKFiu2v6ZGuy2uaRzfYRCIFoqGU12wCV+6JCGcs1CQbK6KJzJsLZ572ZVEXh7cqdF6rTqF004WT+th1VpPXsPNazfJDjnTV0NmU9Pf+kwVF3ywIbrasiaYyIqdXebIlsyi55SsBnfM5Jg/Ilg02FGUu3sopliPStQBvoHe2YHokWqh16XpEa/vA96zBDY/f//3fX3TGfehDH3qZV/PioCFNrxA0hOm5wTu/IEHzkti8ZXt/5phc+XStFklWj+xvJxNQGp3EmOUBdneIarXwWY4vikXn3Jx0mUFfjN91bIDfvgJKYy9tCtmKY7CyloMqEt5hJxMhaUWx/3i99mBOmI4cgrLCt1vS5RYY1OUrUp7bG4nRu5UIiQoCVFFJOS5McKHBhxpViJdHWY/rxARbY/JTyySXU2bH2pjMoUuPTVro0tG+mFP1QoqeKCVB5rGRqChzb5OxUlpzibSkBzNLVDpsq1YUCr/wHM0J2EH1aP5HbzWPKKjLeLo8UA6s96tiRbLrxMtkFFVtJOZpPip/QCmZE7KqzaJEpisY3moIZqAMdC45GRvjYHirYulRR5UoshVFvOexIehA4TuGeGgpO4YgdyS7iiB1DE8ZFLD8cEm2GtC+XJKtBCgL4aQiTA1lB/buUIQTkBKe+LKymqxFezLiRFvF9KhC55CtwcqXPGVXXlOQeSanOqx9eszotg7pqqaqExGiXSj7dfmxI+dEOSFPOCFmIGpT1ZIIgbIDnYueaATp2px4yr75sifZFpVOWdnf1sSpfQmmG4bWjiM+P0L5HlXb0DtbMj4lHqrxyYgg90Rji00k/qG1VbJ7R0I8crQ3K3bvDFn7nHSAll0jBE1BvhTSPZuze1dCe9My2zDEQ83b3/rP+eCH/+H1/G/ihoNFYa9x4O617n898K3f+q3P+vOrCQ1panDj4GkjJxahhXEsHW7GgKtqP5NbjEdR1u2XwRaGcYUbSTfa3NcUrK/hhiMhJ0ks881aCXhPdeGSZOrUUQIuywEjatLOLrrdRgN6ZQk/nuCyXNZnzGLmnApCdKeNm86otq5g7nmNKDNpId1TWuGW++hphg8DIUx1COYi4ykKcVGA7QQEkxI9ynHtULw9rQBnFElp0bklPdxCV554K8N2QrK1CFV3kJlMxmeIR0lIENYTlG4xSsUbKbdFQxnaWvYkZDFIPTZURDNbd9wp8iVRD+Z+p6qlqBLxyPhQiM28NBfMxMhUxYpkz4n5uPJUbU0+0ARprXYtPEw1WbL7xEyXtS+K2kBed3t1z1nGJw3RyIs6MhIFrbVd507FCpxEIsR7ogDp3MkQZAU6d/i+lCDb20Ksdu4K6Z1zjE5FxEOHKT3pWsj0cE2WFHTOe4q+HLPoK1zsKQZy/qSVv1Z3QjjyMcvOnUa8Tn2IRoqip6iSrqh2yGu7/VcvceZ7DgOQbniSKwpdQL5UP+cFJP7BixpmExl9Ew9h7zVSkjMSCUa+bgn3jLxXyx5dybkNpkLAXAjTY6CsIt0wjE6ukex4bAz9p4qF/2zuIys7Gq8VyZWK8fGQwRMF4xMhVRLQ2vIMb4lZfjilfTHDG02+HOI1bL8+IZhBumLAQ7YS0Nr2fPu3/nP++0duXuLk/LV7kp6erPFKwN7eHh//+MfZ3NzEHRxgDvz1v/7XX6ZVXRsa0vQKQKMyfQUcJEpPH2Rae418UaKTGF8HV7qi2E+GrmfLzUeg6DjB5ZnM8wrFvbyIHahVLJn1VeGdR1mL7nakxJbleF2g11fRWQ5RhNvZRbda2MkU02lTXdoUs3gYoKIQn6ZS8qtLeHY4lNIewOaOhFY6v5gzp68M69emJc17tY+LAnRe4qMAM0zRRYXOSzFNG4WZFvh+LB1zRlGstnCRlpli3lMuxQSzininpOoYbKSo2uI7MaUMajW1WjXvdJsrPCZzmNJJingiLea2NmKXHS0m8FD8RmVXSNK+u1t8Ua6Uu1woxEdb8Qt5U5OXoVt0o7U3rXSnqbqsFLGIG1B6nyzNFZd4JIqXriDMPfGwov0xUfxsJ2B8IiJbVkQj8U3lS6LC6Iqa4HlcrBdkz0VC/gCSXYsNFeNbDPHnKlwQSGddR5PsVHgTMjqlKPpSriyWYfnhiqoVEg3lXHQuSSdb2RVf0/QobN8rZa88kfuqDmx8sSTZStm7u4dNFPEQXCehHIhnSldi2q860LkIrW3LbN2gHMwOCSltbUG2KufVFJAecvSeEH+TGxps4mu1T8icbQlpFpN/fY4V5MvzcqciyMCGmvZly+S4IZxJaTHZ9ZRtSDcCKW8uBXTPS3CmDGnW2MSgcytqn5fBwSYXgmsKvzD7zzZCTO4bY/irDL/zO7/D93//9zOZTOj3+1f5m5RSNyxpevmdYzc5GsL0HKH01T6l+d11PICbd2hoJQSnqsePBAfGZCiNSmLpnvNOVKOBOHZVEMrsuKJYZDuZ9VVUHONGEzFt97vo9VX8cIwbT/CzGSqKUCtLcryNNVlPGEhJLopwRYGdTFHGEKyvSep3FMqf/72uqEdhIErSeIo7tIw9ukJxuI/tt8TkDZLVpBXlWgfbifDG4JIA14pwrRAzLQh3UuLdnPjylHBU7odUxpqiH0oWk1GEEyvm7kBRdsyiRCadaxANK4LUEe8UhJMSVQmhCseSHB5kbt8EHkq2kgsh2XGEM7cow+nCL2ahzctnygthckYtLsxVS0vnW6TEIBzKyJayI11n+aD2PmWesitz7JQXv5KuoHXFicozskyOyZy+Yjmiaslrc5E8f76k6D/pFnPRtJU1gryOcGoJxxWmkDKlC9Si3Hf566Tj0iYS/qhzSzBz2ARWPy9+q855uPhNIVV7nyDu3qUWuVKzw7XPqQPti5BsS0xA1YZz3xaw9YY+VSIkrOjDhW9b4pZ/9qcyu6/uMwgO2Oeiqafs7Kt42Sp0LniKnjx3vCMZV9m6p+o4XOSp2r7uoPPoYj+81IVejPOR/FsMPMUSVDHs3R6iHBz5D1+g6Am5TVf0ohQ7PhFKKvsgkNTyqaN9WT4341MJ0dYMvKd7QZTh+Xs929CUHfk5HlYyC/AmhauN4Nd6eyXhJ37iJ/jhH/5hJpMJe3t77O7uLm47Ozsv9/JeMF5ZZ/kmQ0OYngMOqktzr1EdTPn/Z+/Poy3LyjJf+DfnXN3uTxcn+iY7Mk1IIMkEBBsQFAWUskHqKrZ3WJ+jLhT2pdiBXhS1PrU+CrW0ytILVWWVpdjVtWxok4JCSbIjScg2MiMiI07EidPsfq9mzvn98a619olsICMbMpKKd4wzzjm7WXvubq1nPe/zPs9DL/dFXgbdzpkpN52B9+LmjTA93vn6/ipJ0A2xAdBJfI49QbF2RgBQkaOXF3HjCfbBU/hZil5ckHDe/oDi+ElMrwdZjllerKfhbH+A6XQIDu7D7F4VoXeVKt5IBAiFRjyX2k3otuX6sqWIUujMopzYBdhmgDeavBuSLcVM9zbJOyFZL2K2u0W+1AAg29VEZ5Z4MyXqZ+jMEUxEBOQC0ZnYWEtbzIK2JXCIROxctIO5m3egma1EFA09twwoDS115qUtFkirJ29KuK7XEI5dqVPyzBYUWVeRLijSrtzXxtKmU86TtVXpK6RqiwGdlxqoMscu7cFkj6JIIJiIZ5IqqFt7eNi4OmCyqth4TpN0MWC8J6BoKBrrnt7RnOXPZCQbRTkib0udlwA2XVQMCYTDAhtLNEsFfhbuckRDx/ZlBuU92YIABRFJK/KuaJWap4QJi7ZhcsATDgTMpMvlJGIKaE//cs/4sMOVrct4W9E5WZAuiBh+tuxxEZz48Rdy8Bc/gQugfVIuC8eOeDunc99ExOGNuW5JROvy3ilbPq5V80Bl7bEth00ESOWdEgBbeV/MTGET+TzYxFO0BZwq53HjCbt+7x9Y+Q//gIuEJQwnJWsXQtrTbFwT4wOFSS0u0rTWcoZXdIk3M7GOKKgDnKO+WCYk2468LYDplS//5ce/r3gGl0M9KT8XUj344IO85S1voVlFFj1JtbW1xXve854ndZvnU48J2r/gBS84r40qpfjLv/xL9u/f/7gWdbEu1jmlNDoMZNwfSlBU2gCYqNQXUYvDVRwI6AB0EuNmqQChRlhuTkMUCkN1dgOXF+hItqPDQBii8UTu2x+IkHwwRPe60n5rJPhh6c6tlTxmFOInE/x0ho4idK8jrTdjJKS3ZLfwXtqFnQQ1zVHTTOJTlMJHEqOC99JqU2CbsmZvNDhwoQbnxYfJelwkSEbncqDLu1Ep+I0xuRyMGqcmZIsJYT/HLUc0T07JuxGzpQCf+9oqQIwvlUzrhQoXhvMpKyUCY2nZeNEgJXI/UzqF29I9XFsBMyb15XQcqCm1rqcCKcHME8w8490GF5Wu4KrUMpVWBtU0W22eWTpRZ12FSUXf40LDwt05gyMhWUfaPzAPsRUncYvOrDhar2my3W3CkcXMJDV4vCegtVbI66vEd8lr6Baa0R6NjRW6UNJ+axq5n1Ks3ObYvErTOgnbzxIrBhy4BWgdV+Sd0i9pJFqiqK9QVtpezXsVW1c7kjPy3m5cFdQTgmamyHrQXIP0tdez/zc+yfoPvJB9N4zRkxx94jT51YdY+UzG2WdHhGNhp5StAKk8fzNT0oZT4EMP2uNCX7fksArbcpjxnDkKh4qi5TGzsiXYhPZnN2D/HuyJk6A0q7/7SU7/8xdSNFTp2SUAMtkQ49FiNaZzd590tUU0KJjsSYiGlnDqYQrTZU1Yatv6Rwztk458b0TrxIyv/epf4v03/O9lfPml5Ahe1dd//ddz4403cumllz6p2z127Bjf//3f/7S19x4TaLrlllv4sR/7Mdrt9he8rfeeX/mVXyFN0ye8uC/lusgynV9V3kcyvo/oiMYT0Q+VGibVbApwySwqCkXPpIJaY1QJwykK0SdVuiWtqHyXVKsB1mF6XdxwCEFA0Ovi8wJ7Zv0cWwOztCgAZjrFT2e1ZQGH9sJGHx9HwuU2OrL2zYGApskUnRdgNHaxDUahRzN8aHBRyYBZjwu1gCUNZmprRkdnUDQDMIpoIy3P4B0qt3ij0NMc202Y7W7gNfUE3fhAQjBxTPY1BARknuYDQ2wrYronwYaqjjIRcKMllLVsr4mj+FxTJA7ekg0HniCVg6fOPKoUXectjQvKKL3yvsHUE07n03eNDYeNFcHEMTgsnj5mRjlZJvdJF6m9foaHRS9kMmieloDY2XKAST29DQF0eUsTTGXdNlQEwxQ9TqGw5KsLhGenhEaRLyYoLxohX057Rf2C6T5DMPNEQ0fY08yWFf3LDSu3WczUkS7J47lQ3MpVqRWyMSRnIFyTyBKcMDb5gkMVqjSR9ETbiv7lnmCkme5xBCMRrR/8623ue8MCLvT4UNicYGp58EdeyP7f+AfO/sCL6R7NiO+esv68Bkt3ZphMAFPcl2BeUwLUKsrGJk40ZspD6EQmmGlUULbqAo+LPfEZ+exlCyWwKipdGzzw7bvp3u/p/vHczX73b/8DG9//YmEWJ8IYClMoDFS6u0V8aki+0hLLiEDRPJ1hI42yBhcoWicd0xU9n7ZslZ5jF+sZX6997Wv5iZ/4Ce644w6uueaahzmDv+51r3vE+w0Gg8+73WHlifc0lfLef8GPqNaatbU1VldXH9NGO50Ot95665OOMJ9oDQYDer0e/X7/aXcjvQiazq9q48lSb+SdRyexgJYsQ4dB7eRdt96CEJXE+DwXIFAxSC2hi22/X+ukdBTVt1Va1xop3WgIU6UVutPBp6mAoyCop/d8mtb/67275y04VbI2cQAOVJqVom+5vGrF+ShE9Yf42Uyy7y45gGuEqNziogAzyVBpjmvFuCigaIdEW9J21MOZeEopTbFvEVVYvNEEWxNsr0G6ImCoilARhkgTbxfYWMJatfWYqUN5j5kUzHbF2Kgc+1eqnlgzMwmOrdZeOX/bWMBWYz2XyJZ2UE6uOcZ7RPTcPOMY79W1j1M4lpZP+0TOeG8orINHpuoSaRuO98g0mtdKBM6Vi/gOC4P2CWFRBpcqVm61KAfTFVNOennSRUU08CzfMsDFksmnsgJVOHygyRca2ESXInCxVlCFJ+8ETJfF9Ttra9IlWLjHMV3WdI7n5C1DOLYMDocMLvW0HhSAMVuWabTWCRhe6ukcVbXRZbpS9sjKdlkwVmQLDp3KtF28odGZsEV5B4q2J5goknXY+z8HZEsJ4YduZfO7r2fpPf+Id55gaZHJCy/l7PNC9t0wpn95k3RRifg7FOPQ2TJkyxZfAiah/0ofgBKIqn6AmWqKriVeN+Ttkmkqy2thEPf8Q0Hy1586Z0Bj67tfxGxB2DPlqE1IW2cseUPTXJuJ0eZSVLd2o37OdCWq7Sumy5pkSyYpGxuWcJBfEDYET/Uxo9r+//GB7yJqR09oW9ko47+88j9eEMc3ENzwaPX5zC211o9oilnV022O+ZiYpqNHj7Jr167HvNE77riDffv2Pe5FfanXRcD0GOoh9gIyoTaq3bKVMee05arWXRXCW4EoZnPG0/b76DjB9vtiSwB1O847h2o28P289lVSSYwvARNBMM+li0J8lqOqy6IIjJacte0BLHRxvSZ6kuGVCKyZZfhu2dvPbW0xwCxFBYbi0Kr87z0uMjJxZD3BJMe2ImhGMjkHBBOFSsvWnlLiGG5ApyKmNdOCYrGJTUSYSyQxKi4QUJA3NbOloA7gNTMJaTW5gCadyah5c03iL3TusLEwQLYh3jwAOE+0nWMbAcFYpvkmexOaaynJurQS054m7SkaZ3IaZ2HzKskpM5kn3rLMlgPigRgrmtTXuik9lfwyZ6TFRZmhVrXrlBajxq0rhX1bvsORdTQmh2TTknU1WU/aS+HYMz7UxuSe5MQI1wwxgym2lZAuhQQT8RzyGmm9TYWZqYTueVvaXbOF0gm8Z5isaqK+CNa7R5WYUjoomh40YleQaNJFmO1y6Ew26EzZvmw4grEh2tYULY/OFemKQ88UV7xnk2PftIw3oi8qGorTL+6y8ukpxVc9l10fOklRTnwWm1vEmzP2fMJStEIWPzNgcEWHrK3FjgDENyty1IhVC2DyhWLhtpDRQY/tOApjiTYMs/05zftD0iVPOBT2qHIUX3tRwJH/oedvArD0x7ey9n8+HxfJ65R1BahmbS0O6r2IsJ8Rb6TMdsUi/G9ERH1L1gno3TMl7bZqD67ZkiHq57zilb/CBz/wU0/SDuXCLseTEKNygWmaHmox8Fir0+nwMz/zM7z4xS9+xOvvvvtufvAHf/CJLO0J1WMCTYcPHz6vjR48ePBxLeZ/h7oImB69dLMp7toPCd/Fu1pcXQEiALO4RHF2s/ZlUkEIWqEbCa4/KCfmFD5N5/ly6QzdbIpNQZxIG688s3H9khauHlcpsQ7otKX9Vpa3FhVH+KIQfZRSkhkXBsIqaY0ep7hmhF7bxK0uoQsrE3PWo7IcH4X4JIBWLIzRNEdPUnxg8CstdO5Q1uEigyq9kwLnSJcbxGsjAUtai17KaHERn2UEuSVbbpbBtarWPhUNeU7KViP6clD3Cgn9RVpts10xRVPsCryR6TozK8XWRhFtF+QdQ7KeMt2diDC9bYi2ZthErAtcpHGBpmgZFu6ZMdkdY2NNNMhZvr0U5odiK9A4WzBdCeg+kDFZFQNF5WG6S9UxKOINJUG0cd+h3DyfrnNcHMXDQU7RMKRLkoWWN+UA0jotE32q8BRNw+CqLs21DGMMeTss26Bi6OmMkhal0qVnlLBs0VDG+oeXeJZvg8kuTbwlAK/yMoo3d7JHcPIVlnBL0TilSJfBl60wkyoaa4qsa0iXHFFfi+4o9njt8RHc+53LYtDpwEyl/Zf1wMYG29BsfcN+dv27E3OrjE/dgX7hc8gWQoJJSHMto7c15ei3LVI0yzabAqySn0KBgd0fL000FTQfMEz3OrIVS7gRMDmSE6+FpWu4vEY6F5uCe3/5ei7/2U/hrr8a9Y+fwacpC0cLti4vgbhR5G1FphVpV9Nct6hmgPLQun/I9rN7JJsWFyq692fknZDFu2f0L41FI2Wl/WzSZ2bMxsV6YlVpqB/NHHNhYYHH0CB7yupxzXjOZjNuu+22RzSserQ+5cW6WF+oXAVMSsB0TmRKeVnNIAHF+ll0nIhXk9PC9miNH43FgbsUgO+MXdHNpoCURiLtukkZc1Km0AuI2tE+Mwa3uS2grN2SjeRFaaTp4eA+1Oa2hOl6hxpIv724ZC/KewFM20N8r13GgUiWnNrcRiUx06v2EK+N5bbdBrYRzENrkUk1G4fozDI9vEDj6Bb5ni5mXLJMjYgqPsUnEUUrRFkn8SJO2k55S9dtmMkeaQHo3GM1KNQ8K06BLSfoAPKOIRxZiqbBxSLM1vHc16dxJsUbRfPkVFqCowzbENCS9QJcAJFRJFs5eTsQkbX3eKMxU4uNDcp5mmdyiqahsZ5jujLx5gIZ1W+c9cxQLH9mJmLjQBGMcvJuJCJ4ZF3ZQsh4d0Bz3TI4bLCh3Ff0UWV2XuEJhxZlHbM9LVyk6jBgMWssu2exBPNGAzGqVNaTdyHqKzau8ez+R0cwdWQdI3qrnqK1Jl5T4z2KvC1tuOSMMFG+l+Nzjcq0xLLsFnCF9mQLFjPRuNijMy3TbU3ZVryhcBF1lMnWlRG7bp6UGYGayvneOw//8GlaV1/O+ktWaJy1pEshl/zpFp/7/3TljZ2IsaULBMCFm8JEOQOd+wWoKCu+W8OrCoLNgHS1wIyMiMdV6TpfKGzDcc8vXcflP3szemkBu7lN/Lc3E+2+nqKpKBrCTNkYdACTVUPnmGTsTQ92SDYt4SBjvL+BmTmKllhhNDYcOnUMLgnZuiJk5dOWV3zdr/DBv//SZ5v8kzD95i8wpukXf/EXP+/1P//zP/+Il3/nd37no4b8AuzZs4e3ve1tT2htT6Qek6ZpZ/3N3/wN3/M938PZs2cfvrELPITv6dY0XWSZnkCVIKrWNFkrLbQwqHVNtdllqXdyO794SqNLd29ljICh8aS+P4ButwRglYaYfpbWTNR8O6oGYj5NBYRV1UjEFyqJ8FEgcSitptzfyDZcO4HCoayVCa7tFJUVJZgw2E6EKjzB9kRy6DpNXLtidALCYY4PNEF/hm1J7pyLA1Qh01zB5hjbldsX7RAXaWyoyNvSVvNlC/ChZVLx13GRItrOSZciwlGBDTU+FHF33jYEE8t4r4CTeCOjaEk7EKVQuWN8sIE3kGwUpL0AH5QTdxMnY/6ZABjlvJgfFq5ks0qLhcKRdQIJB+6aehKucSYl74Ui6p44bKIZ7zG0TxbkLS2gR4n5Y7LpCSZiKrlwz4xsoZyaLIQF04VkyNlY10aVaS8gbymioat1US6E2RL07nOMd4vGq33Kc/a5sPxpmYqb7pIW4K7bckb7AwEdhxTBGIZXWHqfNfSvT2FmiE8FFE0RXZtJCWh7lnAgrc+i7cpJtPKj5qD5oJaW14KIzZWH5c8UhIMc87Hb6kGG6nfx1c+nf2nM0mfGZIsyIdm/TICMazhc4Nn1SWld6tJ0tHoN+5dqoqHYO8z2WjDCfumJwQeiOdOpxjUd8WmDTeCyt92ESmLceFK309fe/GLSRdGchUPBbHHf09h0pF1N61ROtDnFRQEb17RY+uyEM9c16RyX3MBKCB73Pcm25Ya/+Iknvv94nPXF0jR92/u/l7D1xDRN+TjjT7/2/7lgNE3XXnvtOf/nec7Ro0cJgoDLLruMm2666Wla2ROr8/Zp+hf/4l/w7d/+7Zw6dQrn3Dk/FzJgerrrImB67FV7MD3UzLKMRqny5yqGCM7NmQPOAUwqCNFJjArDOatUASKlUEmMikK5T1Hg80LE41rJ4+W5bCcqx/9L6wABX+Ua201oNXCLLXGzPrEG7RZ2qYPrJGInEJemloCPAsKtmUx0AflSk2IhQecOFxsRcV+xm2KpRbYQYxumzmZThcO2Isxgig8MZpLL1J3zFItNTH9aTre5ee5bLh45FWDSBcJUIQdnbxSzJYPOPNPVmCKR0fnqejOzJOtpGUliUbm0m3QmnkmT3TGT/Q2ZpPMQnxjQu3WdqG9R1jM4ZOhfErF9ecLwkBhPKudxgUbnnmAqgMpGEg6sctE9zZY1PpDHibYy4q2iXL+ncdYxWzRlrAcEqad9wjFdUZy5Tosr9mos/k+hwsZahMcz8RCykYiQJ6uhgLtyenC8RxikSkw9OKwp2tA845nsUrQelMnAtCexJnkHxnsCdC5mlo0z4p0Urxu2n5tDoaFQpCsWF3uibY0PPSaF5klD3rUUbUc4FOfsSnfkQ8/kgAMN+z46I9kEnEw1usiw/cYXzT/jJXAyH76ZzomcbDEi2sponczY/amCpc96ok1NtGloni5Y/ccx4UimJIcHAmZLMm04OiDMW7RpwCmSkyGu4cTHyYBri6A83WUpepZ73/4C/HSK7rapPNT2/NYnCYdieQDgYsg78rp275/hAsWpr+qRLcd0H8iYrcQsfS5nvMeAgsW7c5ItT/tkRjgsePmrf+1x7Ucu1tNbN9988zk/t99+O6dOneKVr3wlP/IjP3Je2zpx4sTj1kg92XXeoOn06dP86I/+KLt3734q1nOxLtY5obxVqbJd5WapMEaAS2eY1V0izLZWWm6lfQAI+JJ2nBOxd5ZJ1EplQQCoMCwBkpbbWCsgqpqQq6wzrJV8O6jDfVWzISG+1kIUUSy1ZDveo1ZXsMtt+btwwibBPC5lnAo7NJ2R7mljUnGZVlkh7bVcpri8gmCcozMHztdaJzNKca0YM5SWZrA9Izg7JDjdx0cBwfYEFwqTAiKg9obaAdobamsBVNUCUhRNTTCxJBuy3nhzRjjISRdDdO5kHUpG811smOyN8IEmnDrypuTNRX3L7FAPu9gELY7P3eOO1mmLLjwr/3ON5tEtgnHJsAWKrBeKcHrBCJs0tUQDSzjyRH0rGq1QTDkHR0I2rwqY7tJM9ijOPg+mq9Qu0zaBqC/Tdy6QnLOiqcm6Ikz3WtpvqHKkvszgi4YyHRj3HaMD8rokG6InCsYyVt857jCZANHWaUfc94Qjef36lyuSs2JyuXCXI+94lm8UoL14e2lVkcjlPvDkbdFDLd8i1+ULlnBbk5w2hP3y9kqe28mvTCga8v7lbUUwzlm4Y8T49S8SH7EdwWPh332K4aGQ0ZGGGHlupnQeSNn3sZSD75+SLgXMVmOZeiwF7zaSicbl20ufpxFEZw1Fy9O6P8C3LD5wEDmZukscaE+xVHDPO66Tlng0Hynf/29u5LK33YiNIRqIbUHrVMFkT4wPFcEU1p8XMLgkIphYYTiHXkBoS8CjLYchsq7hZd/0rx7n3uSZUV+KjuCPVN1ul1/4hV/g537u587rfldffTX333//U7Oo86zzfpVf//rX8+EPf/gpWMqXbl1kmc6zvBOgs4Nxqly8lTGiQ9JKxuzXzuAmE7EG2CHWrqsoBIA5V7fhvHOlyLvcyVuHn04FIDlfgyhfFOW0XCT+SwDWohuN+f9Go/bsIt/dwQymUEhOG95jTm+jjj6I2hqKaWVu0f2JfOvyArU9pNi7hCpKYOU9rhGhM4ttRQKQPLjYYEYp0YPbMu3Wn6ImKWZrgg90OUJfkO/tkR1cYnqgw+DZy3gF0Uieqw+odU2o+cESX2qZQlWP+wMEI7EP8IGpwZSLDcFgRtTPKZoKr8VmYLw/pogV0UieQzC1ZB1DtpiQdTTxQHyYbKSIRp71r97D6Zev0r+8weBwxPZlAUVDE2/M6Dwg72G4OcFMCzrHZmLWuRwzXQ2Z7A5KbyGJJYm3RFzdPiHxLI0NR3NNYk2UhWDqSBdhsmuu3ZruCon6ltbxMcp5ko0cM5PWWOUtla1YpqvQOW5Zvl3AzcZzNOvXarZelBEPHGsvd7QfzNE5jA6qktETwJZ1FPtucIz2C7m39RwLTUvyYCAeTApc4gnGYgkQbWs6d0nLy8ygd48AK20hW7BM91ox9/QwuESx8dwWs70Ngpk71x2/rJV//w/MFmX3PjrUYHgoxpUBzAu3b9O+cxOTetqnLPG2nGTkDVl3MJXXLhwhPlMxMBVNlrcKFTi8B1+272zHce8vXl+fVMh3TIDcwb/eYOXmMaMD0P7MOr2bzzDaG7Bwd8rKpwuCiWe6GqJTRzxwdE4UMsWZemxD8uuUQ0Dul3A5r56Un2dC9ft9+v3+ed3n6RR+P7TOWwj+7ne/m2//9m/nox/96CMaVr3lLW950hZ3sf43rhIo7azaViAQdsd0O8L4GCMttZ0RKkoLsCkKdKsp7bgwqEN9ReSt8TssCQRIybYIQTUSlNK1N1OVYedtaZ7ZSGqBd7A1QaUFPg5Rk6k4gBcWpcR93CcRemMoJppbYjcwe9YedCYtbRcLGDCTHJeEmEGKHk4oVnvSejEGAkNwdiRrDwyuGTE52EZnnmzBEEwc4diCh2hQ1Fohk7l5G2ziSBdLFkPPd7I1A6UV6WJQt+TyjjBAeM9kT0Q7tYSnR8TdAJ1apqtxrbUJJg6/JK+tC+X+NhSzwuapjNmKxMjoQhBb1R5Trsoha7P06SHxtma2t43OxVNqvDegcdZSJJrBpYpkA3r3i6fP4LC0A0cHYPl2sQoY7Vd07/cUTcXWFQHJhjidNzakBahzj7KObDERPVRTQnoH+zTeiJYm3Dbki1YsGlqi9ckAGtC8M8KGnmAz4Oi35+z9oGOQaHQKebsCawLA2ifkvS1Wc+IHItJlB6HDF+IwnncFaBVN8b8yM/FzmhzwhFsSsiv6J8Vs1dO9T2HysnUYSNRLfP3V8Ilbz2lne+dZ/X9uof9Pnkv3vgk2CSga0sotegnBWUvv7gmjww3CsaNxVtE5njLaH5MuKHwE6ZLHxQ7b8zTvD8h6wMBQ7MnmNmNOPkNF1+KLXHSGVatwaQH7uftQwJFPOmzps7by+w8we8116NTRPmlR5cmBxOWItkw5MTZNe+WkbOr5ym/9//I/3/fjT87+5WI95fWud73rnP+995w6dYr3vve9vPrVr36aVvXE67xB0x/90R/xd3/3dyRJwoc//OGHJRdfBE3n1kWW6TzqIS05mPsuydVqLggPg1p86ilbeg9p5ymtcdbKZFupPVJVQG6W48dTudxoKOYRJ5RMlJ+loLW0BKsRf61Qi0swnog/kvforMAHGtdtoNIc323h7z0mJppLCzAYosOA/OASZpxJ622SkhzfFmYrMGCUBPQmId4oXDNEn81QzhFupqj+CN9pCijLCrLdbYqGIZg6iobGzKTFlHXlK23Lg1DRMpJe7wClyBYezkp4MfSeM1Fe9EqTPZGM67ty4q10E3eHG4QjR7YYEU5Fa6TTgtlqA5N50qWIzv1TbDMgmHpsokiXQkwqIcCUraEigbjvMKljtF+S7ree3aF9PCPvBLUf1HRZ4YKAdFFCbhtnRavlAugdlWy7zgkLSlo7C/c4ZksyDdda8ySbhUzQGfGcQsm0nZk5Ycr2RNhIWKrZomayWw7a4abBh55ko8BkhuERRTBRTK7MaD8Y0rsXWh9THPsGT7QtobdRv7Ip8KQ9zWQPNNYUw54m74phZLAZMNsl4cdFy2MmCp0LYMo7AjhVodCZqqNjvBb2bOtqx4EPOKYrhuF+Q+eEJVuM0F97PeGHbj7nRMNNZ3T/+JOMv/mFtO8Z4KImRUt0fD4K0LkV886OwUaKrSsTso4I39dfoIi3FMoZJocKsp4wYNmiIzgdYZsOuoV8bCIHqeae/9+Xc+XP3M7Rn3guR371FtxojO62cYNRDei8tZg9u3FGoUFClUtvLFV4kq2crBvRPFMQTCxZLyAcW2bl5+dLtZ6M7LgLzafpN3/zN8/5X2vNrl27+N7v/V7e+ta3ft775nnON3zDN/Bv/+2/5YorruCnf/qnWVpaeiqX+5jrvKfn9uzZw1ve8hZ+6qd+6vM6fl6I9XRMz10ETY+vRFMUSggvPAw4eWvrM9ryBvP7BiGm18VubwurFATzFob30p6rPvbWouIY1Uhw/aGAoioOBaRFFwgQcYf3iHB7cxviGOJIABngO004tS6Pv7gggGoyEbF1t4OPjICu42v4w/vQZ7eh2cDHAeNLe8SbGWaSozdHFHsWZLR+e1pqfgL0LIPxlOxy0RKmiyGN0ym2YbChxJ14LUGp6UIISjQ+lSGkSR1FU9ctqkoELuPr5772lQN43LdkbT1nkYwIoL1WNRDr3itsRTD1JGdm5N0Ik1rMKEfltg4Rrly3w2EufkNNEa6P9wqwyroaG4KLpL2lrcdkEA0sa18eEA6hccYzW1ZMrp3S+2hDokI0NNY9JofZgjiJV6DKBxIi3DpZ1Adc5cRfabw3wkaqbPUpZivQfcAT94X5OPUVUXl7KBrQuwf6V0hgrs7gwAcLTr00ZOkOx+bVmrznWPy0Jm/D4FmWYGDo3VN6Xy0pBldYVCcnOppgY7BNh2sI0NMTg5lobEMYF6+kXWcjaeG5SkekPI1ThqIJvXs9eVOxcE+Oi7U4sA89zff947nfI63Iv+ZaMVjVoFPJ4CtaEcp5prsiXAiTVV36SImGS9zNhRUMh+JyXrTE7HK24jAzhduTipXCMMAnjs7nAkZHHNGWZs8ncsJRjrnpLtENTqf1d3X4+uvo/MmnOPv9L5Tg3pGrhxXSBUOyJXo+F6o6akfiYBTh2H1Rp+m+WNNzr/3bH3hSpuf+36//9xfM9NxjrRMnTrBv376H4Yldu3bx8Y9/nCuuuOJpWtkj13mjnizL+Kf/9J8+4wDT01EXAdNjrJ1TctUZqfO1rcDO66txf9NuidA7iWuROEgcCt7V/kuq0Zhve+dn1nmxKshFjIz3qCRGd9rSTistBVClxYF3qGmOP3laAEdc+iPlhYCyzYFM54UhvhlLtIkxEtqbF/gkQo1nqJUlEYU3G/jIMNvXIRxagv4MfXoL32mILmhjAsfXUNsj9GhKsdhi+ysOkvVCikTablkvxGtFOC5ERO58PZXmlUzI6cxLm6uhS0NI9YiAqYoosaF493gFaddIAK2Xtl3z+ASdiTVBNZU3uKyJjRRFQ1G0QtFKFQ6d5vjYyIh/Li1DXTj6lzUkaqWhGRwOZdumBC+RPHY4lSDfrC1WCftuyPBGtDzdBxyd/9Ug68jB3WsRRo9XZaw+7juCmSNvKdKOpnMsJ+pnZeabxkWarBeSLmjG+xST3eI4vvQ5K69ZKtqmAx+a0VyDzgOe1U85EZonouEp2o77X6dJ1uHUKxyLn3PgFbMlycNr32eIBvI8ioZidFjAjssMec9RdK0YTuYalWrZZqsE/VYYpgpYqVxYJzo5GGn/RQOJKglmsH1FyGSXTMTFmznuq59/zlfLO0/4oZtJl0KyTsBkT0LRiggHKSgIR9IeDmbSUgwnnnAs7b94S9Xj/y6g1jcFIy0+U5sRKnT4TgGJZXhNhms4Dr3945x6aYj5xztIv/Jq1EJX2nWXH8G/8Gr6R+R7uOs9N7Hw3z7F4JAhb2rSntgNpD1Tm7BWRqbRsEBZ0Ta97LVfetN0/ztpmh5ajyby/q7v+i5+//d//4u/oC9Q592e+97v/V7+63/9r/z0Tz/9uUAXcl0ETI9Qj9B+A869rJp8q6blSkuB6jJvLToMsMOh6CeUP8e8ssqeq7RLPs9roKV01aIL8UWVLZeguh3cdh/daOAnU1QjwdscolCMKOMImk0oLOzeJWCpKGA0kdbecARh6ecUx6gzm3XcC4MhtFroE2fEswkoVlqE6yN8FBBtpyjrSfe0CdoxLtRE953B7l8mvfRK8oYYU8ZbBVHfYtKyzVQKzpX3dZ6XCxRFUw442kI4yMWdOxSGSEb854Lo+jXbkelW+QTZWA6YQSr3MZlncEULk0o8hjfgtMKkXvx4xk7iVqroFu/JFmJ04bCNgHTRMFsq/ZKsIxoUpAsR3fszsl7AZEUEv2EK0xWZwnMh4szdjQjGcsAe7ddkXci7Xty3e9A57hgc0XSOe6JtmbSzkSKcejHZDBU20UTbBbOVkLQrJpOqHGg0qWjAzEwmHyerYe2AHW9Ly659wjM+4lj9mGGyRxi74SXiXXTmRQoXOSYHFI1bFON9irzr8EYT9SHalueSnAhJ9xaQK1yvmH/svULl8tsHHgpVOoJr8k55o9SgMoVrONjUNNdytq6MJQB55pnuCkh7ipXbZqz/8y9n1+984pz3uPXnn0R3Oqy98WribcVkf5N4K5fP1rYlHjjGuw26EEF96yQMLpOWXAWsg6kYdyoH0WlF3lW4fgjtQpzGFaA9d//WiyW0+VmXEH/0M/hqgOO+B3AveY64kL/gKrjlTgD2/O6NeGspXv58zj4nJluAvBnRfjCnaGhsrBgcimitFWRdgw+emeDgYj1yPVqzqygK/sN/+A+8//3v57rrrqPVap1z/W/8xm98MZb3sDpv0GSt5dd+7df427/9W5773Oc+TAj+dD2Ri/UMqEcCTI8CpCT2xD/M0VsofntOi25n6UYDnxfoJJA8uSgSv6WiENsAayHL5oJurQUw9br46Uxad5XgXAk4oJHINvJCYkuKQoTelZnlcASBCMXRSsBRFEKWy23DQGgUa/HtBuGDW2QHl4ge3K7dvVXhMYMpOg6x+5fJS5PLcCwhtDqzKK9RzpeACQgVRRLUMSvhIK+DZ1UhYMpF5aScLS93gBZGRz1kX6ULYZhk+k8us6EAKWmTCAPiyq98OHa4UBGOLMHIEowypqsRuhdRdEQ7U4G0ztEpwSyR3LuVmLylxSNpT8h4jwDDvCGRJbJWEUg31j15S9qBOoOiCc3TwJoiXYA9n5iy+ewGnWMe5TxZTw78PoD28ZSiKTYFOvfk3YDJqkbnYoBZxOISvvi5Cadf1GLvR/vo/oS0t0o0dAwOBQwOGxpnPaMDMnnWv0wJP19qwC75U8f936gh8GXHVxFvQeOM+ERlHZjtLWjeH1C0wQwMtuFgYlDG4yNhturPdyg2EKK/git/8jbu/FfXCCMXeNRM42KIbroH9+xnky5B1hOQ5bXk/QWzhx+EvPPY/oDVf/sPbH7viyR0uBvSvGeT0ZVL4gRfQBHL+scHoHEaWmvyHvcvUSx/xrJ1lSHrwmSfR2cKnWv0dkx2IMUXJZPbspAr7vmuZS5/5xr+yH78Z+4G7wg+cQf+VS/gwZd1OPTAAm57UJ/oBB+5jb0fVZz+Z9ez+pHTjK9cpmhoGmcL8rZhvCegselwRvGy1/4aH/l//+Uj7maeifVkMEXPVKbp0er222+vI1Xuuuuuc677fIG+T3WdN2j69Kc/XTt93n777edc93Q+kQupLrJM51E7p91KAKSiSIJwS8+lnTomiVMJqSIkdjJRutnEjkaYpUUBOKVQuzJpFI+m0lfJGPx0iup0UICfTIWVqlp4SomeqdcRYDQYCkhqJAKCpjPcche9MRDA1EhgOJbfWY5XCt9roqd5DcJ8W3xz3EqHYHuGDwPSpYj28Q3iSYaPQ2a7m6U7NpjU4gKNSS15K8DkDhfqkhkqv2ullklE3wHhqCDXIqJ2gUKnjrxtaB8b07+iLa9Z5eRQHax16eNUO1H7ObuQCvPgTZUDJ8DLKwFQVcDqbMmQbAUkm3nZxhEglC4YGmcL0l0xkxVDOPEMDxh6DxQoJ149yYY8vo2AyjNoJOssGtK6sw3K6UJhnFqnHI0N2LqyIe7fXWGndEEdiqtTy9kXJyzc68gTAW/JpiNd0AwuEfbnkv/W5+wLF/AKNq/p0n0gpn3/CB8a0l6LcOLI2pru/Y50yZBswOiQJ5go0J6jr9cyVpdpfGIZ7ze0HvRM9ijcVFqIWMmPUwXYRYcPxetBTzU+EpE3sYdMAoGxiqwnIb93vfO5HP5rx3TJMDysyHqebMGDtcR9mbib7JGW3eLdBeN9obS1duj9drqGAyy950bW/9kLaZ5xuGZE6+5t0v1dvAkoEoVNoHUCprtgtFeTLsv7PDpg6Dzg2X5WKVKPIFvw2IZ8XvTYEIw0+d4M17G4yHP3z17N5T9/C/nXPI/oI7eh9+9B5zDd73AHVlF5jiotP6o17v4PN+ONoXnqNK1WEzcc0VjoMfjyQxJ7U1plfCnVRdD08PrQhz70dC/hEeu8QdOF+kQu1jOnaoH3Q1imeidfZcaVO3uUFrAztZheT0SlxY5AX0DHCW4qYbxkudgGVNtKSk8lLe7fAphmmJVlAUpKpuJ8nqOaDQnnLc0tGU9hobQX6DRRwwmMxvjlRQFM0xksL4pTd7WYKISgXJt1uIUWLp7HtfhQY7sxZlYQTBz5oRXMICVfatD87BnG1+wWpkgbca8OhGGyoS4BjTAkVVvOayQI2Ms0UjCxAq5CRRFKey5dTmpBrbbUmiST+rnJoUVadOXTcMFOIFOOgWfSnqt1U1bYCW29tNiWRfBtQ0Uwk22HY2F6ki1pozXWPVuXBwRT6N3rmOzWqKIEZoGIjsMh5IvCGNlEAMf+G2ZsXZlQJDA8oDnwl6eYfN1eZsuKrAvtEzA6CNGWAL3xgQbRQFqN/dKqwAUC/lwIwQT6V3fFomEIJofo+BaD563SWM8IZr6e0gtmEG8okk0BaNmyE6fsVNO5VzM64glPhkR92L5SkS8VLN0UoE9D5wHDxgusgHdTMUke17QiLwscZRAgxA5yEX3rTMvfOLa+TF5/VUiLTjUbLH/kOMf+j0PEW7Bwb8For+QWLt45Y/N7XsTSe/7xYYCp/KLROV4QDguxskiESXShYuXWEZO9Dc5cZ7CxJ1lXxJui1UoXBawn6zC4QgTfPpRAYEYBrmXxMwXjADqFsGhDzT3/9/PBgfvGF9A4pcVewSo2ntehs3QZ0Q23oxoNiTXSSr67SqZf/Xgiv2cz2vcOmR1og/W4WPPKr3knH/jQ55/CulhfOjUYDPjgBz/IVVddxVVXXfW0reOimvtJross06PUTg+Zys9lZ1xKaWhZ32bHdJy3FjedobTC9vtgDKbTQSexCL+VFhC2s81XsVSthng5RZGAFq3l/1YDnwpL5dO0dgLHOmGSyjV476TFFseoraG05aJyyqWwuIO7cY0QdXZbWKa8EDBTZsHZpRa2GaJnOXqaowpH0TCkiwGTvQnjfSHhyW1sJxLX6+UOyekp8fqM+MxYdEJNg20YXKzr3DZl5wdBAUKSp2bKbLdq8siVE3TpgkEXEk2CF7BTxafo0mfJ5J5g6ssWnbTHoARZuoxe8aLzqZguG4umRhdgMvFeEv0U5C1p8413B6QLhtmygKN0UZXAAcZ7NE7LdsJStxRvlVlrTiwGom1Y/oxl/XmJxKXMoHPCMXzuKpO9ssZgLGszM0i2RcwcpI7mumN4QAATXibhwqG0nlRRuk87T3utYLJLMXj+bjp398lb8hmYLRrylqotDAZHFOEIWsc03TsCfLtgeJkDB+mKJW9BsVigjGfltgkmh43nW/RM42OHD0RMrrSwM94D0wAyTXLSCDGaSGyJN/IeH3+lAJi847ji3x5n5VOK2XMPc+8PHMI25HkNDgW1+F9Zx2xZYQ4ffFj7uqrkb25mvC9itqdB0UuIt1LSnmK8X9jQ5hpEAxHJZwvQPO3IWxIlE8yoxeqqULhEol5U6CianmCspf1Yiua9ARdLLEy6LMyUazr6l0kbefL1z5Xv5M612oe07K0j3d0kHORo66mc5L9UyjO3HXi8P+dLvt1www180zd9E/v27UMpxZ//+Z/X1+V5zk/+5E9yzTXX0Gq12LdvH9/zPd/DyZMnn8ynDTx6h+oNb3gD7373uwGYTqdcf/31vOENb+Caa67hT//0T5/0dTzWekyg6Vu/9VsZDAaPeaNvfOMbOXPmzONe1MX6EqvPIwBXQTi/zc7bPYK5pVlYkD9qIDXFZRmm2xE2KgjRvXLU1loIAvx4ioolUFQ1EhF6ay3skvfyO5gTrr4o5D5hgIpCVLslIu/SUJIsgyhE5aJVUlmBnmSw0MVHIXaxjbIeu9DAB5qsFxGeEUdw1wyZ7msw3it2AeHEkWxahs9dZfuKBkVDMzrcYra7weY1bWw7Jl2OShbIE29mhKMcVXhsUwSxunC1wLtoGdLFkHQxoGga4s2cvKHmB1Mn+WpQgSDRAYVjJ+2xUKbgXCA/ckNKs0YvOign02rKyki46JwUzghIcqEwMxLUK4yOyT2TVU3RAO12iM1DamdynctkmE1KRsNIi2h0ULLdtq4wBDPJM0sXoP3AmOF+w9Idjsk+jy/tCpINGB6UdWx8WcDgkKZoSRRJc92xcK8cxBsbnj3/MKN3b0pjw4Lz7Lp1RvvoEB8axnsDwpElGjlapx2zJZgcsJhUpsyEcYLowQiVK4Kxwkw1s1VPdDrAO7jr/wzp3ZthZppwqAj6AcoqzCAQ8XfljxVbvPHMdtu6PSdO8AKwKoF+tK0ZXL8fgLUXR4QjAYHBDMKRJ10UUPfgy5voAo59+z5O/vCLa7apAiWVp1nvfbdIG3haYBsBrVOWyaphsipi+3CIWFfEsP0sMfjculKAcLQtYNxHEqfiA4cOHHRzXOxRuYJcQ9NiOwU+ku+yXSokCNgIoNq+PCZZT8m+8tmMX3Nt+dWXEx7/kKyxxq3HSJcicTZ3wqq+8uW/fB47ogu3no7pufF4zPOe9zx+67d+62HXTSYTbrrpJn7u536Om266ife9733ceeedvO51r3uynnJdjyYEv+GGG/iqr/oqAP7sz/4M7z3b29u8613v4h3veMeTvo7HWo8JNP3FX/wF6+vrDAaDL/jT7/f5q7/6K0aj0VO99guuLrJMj1A7tEo7yxe5MDk7GaKHTM6duxmFGw7RUYTutiWyoWSvbL+PikIx0tvcljsEVbZcAIVomVSzgS/EIoBAWK4q2FcFYniJ0XKfIBBdU6uJT0J8LP8znQkgA4giVG5hlsJ4il1sYs5sUSw0hcGZFTQe2MYuNLHJHJgpDzYxNO7bFlfsmWP5tqG4cOee1k0nUB4mu2OSMzOyrpgPpksReSck7waYicVGirwdkLcNectIkKspWaYQRgdiuscyEWSHog1qH5uKJkpJy03nMFkx5E0RW3stE3OVd07l1ByOJZetcSZD55SeUMJauVA8dJSrRONlW69sbRWJtLWUQ25vBMQFaTlwVQjgUYW0zGwMzVMiRlYe2ic8rTXP6KAAltVPZWx9WZu8A6N9mnizZL0iyJuyhnRJmKt428vBHzBluHD3/pzkrEyOKe9prE2FiZtZpvtajI602X6WYrIakHV0CRAh3hBR+GxZ7A9cJOvxgccmHhuLg7YPxHupcSxkeDAk3lBkCw6bOAg8tivUXnWs8E6JKDx2ct4QelwkYMm2HS5x2IZj8U7Pqa9QnHmRZ7rXojP5MA0u8zQ2rRhQZrD6qZxk07P02QKvof/dL8asLJ/zXQJhUrOOIetFeKNINnKmuxHrhFKPFQ4ENM9WJPB54W6P8h6biJmnGUiwrxkGuMygA4dbzPBtK61GSocLJS05eWBQsXhUTfbB4NImLtI0T00ZfMsL5idMdgdwKr3Voq2MYFLQunuTtGfw5mKz5PHWq1/9at7xjnfwLd/yLQ+7rtfr8fd///e84Q1v4Morr+TLv/zLefe7382nPvUpjh079gW3nec5QRA8TPf8SHXHHXdw+PDhh13e7/drQ8u/+Zu/4du+7dtoNpu89rWv5e67734Mz/Cpqcf0ifPe86xnPYvFxcUv+LO0tMR4PH6q132xninlXTkJp+c/VSmNjpNzGCZlzLm3qdp25WUuyyjWz+KLHB0GmHa7vp+vsueMETZJlxN2cYzetYw9c1ZMK7W4fVd2BCoM8FmOKkXcqpGILqnThpOnUetbkh/XF/uA2k7AWgFRxuCXupjBFN9pYkYzgu2piKUXmujRjPH+mOB0X7Q9m5bkwQHbz1+SdplWTPc1peXmYXLNfhY/OxaGZl+DvFG22XzJ7ihklN6Uo/mmPOs3wvCoEtNp6xnviUqGyNM6lbH5ZU25bTlB50KIxo7GpgTRUopsK72UScXnqdK89C+LyZuiqarCfitGSUJ/ZYQfSgA2levSxR0MV77jPrpkSyYQb5cfCwuDSwUENUrCerxP0T4u9zn1koj1FzrCEbRPOZKNcrKuJUxVtQ1vYHRgDsDTnrQok/Up8emJBCBnDlU4unePMeOU1ufO0j46pHVSmLil28ecfqHB6xLI7VUs32HFRyn2oncaaexqRrwpQm5VyOvSPerJOztEYoAeGlSqQXtU4FCmatV5VODrkUYfOmGZymFRnWlhBB001jRoGB+WVlfrhGK8O2DlNsfC3ZbTLwppni6I+gWtNU/3vin5s/af+x0sv095Q4lPVtUicfIaBjPqSctwLM8n78j0YDTwtB4EM1MopzATLa3ETNcAkKmuJwxBNFxE8h33sYNh6VwfwWxJMdwfUDRDOvdPWP+eF8yDt2tkKSDKJobo2CYMRizetkXeMXzNq371UXY+z5x6MpmmhxIZaRU6/gSr3++jlGKhYvw/T4VhyKFDh7A7Jp8frQ4ePIh5hPzEgwcP8r/+1/9iPB7zN3/zN7zqVa8CYGtriyRJznv9T1Y9JiH44xF/79+//7zv80yuiyzT56mHgqAdVU+/7TC1BFt7MgFzQ8vFJfxWv3YJd1km9gHGCIMENSCq2CIFEIXYEycFMHkvGSNGw8xBFNVTdVgnYCmOBQxNZ+LRBKC1TNIZjes10YMpPo5QSuF6TdQ0R1WhwP0BLPbIV8RXJFvoYVLP5MpdYvaYOqZHFogH5e21qvVFKAhmlnQpJtrOCc+OyF6wTGM9J10I6wk3fCWcViiDAKqypaZLJgk1/503FcNDIoiXxyp1TYWAq6IhruLallom76nOqaQVosrsOhmjD2blxFQxD/lVBRCU286F7SlaAmjCkYizK1bJJkB5YM47AoYqlsqFlTZH2nF5Uya6tq52hH0tvkpbhnQRXCBaowqs2LianJN1mgy69zu2rtRkbUXrQUu6nBBtpnijxbQ0tyiXUyw2oZcwPpCwcE/OZHfA2WtbBBOYHclJNkKSDTjxOkuwJjv5bMmRnNH4tZi9H8+5/5963MjgI8fG8ww2sfMeJNJyU5nCU/bmKhamatVRgo6ZhlDYGVUolIXpsmb1Rs/mlwlQwUHvLs14v7y+uhA/r123yOTl2WsScfheiGQi8yXPQX/8tnO+j8t/+A9sf+eLKBqKhbtTginkAey6acjaSzos35Fx+vqIxklFOJHW6Pq1moW7hH3TuRJWLCndzQOHTQNoWbxV6MjinUYF4C0CEj0QeJxx5MZTDAxFAuvXxvSOBnSP5fMEgIccS83MMnz+HtofvpPZ3rboBhvPfLbpyZyeO3jw4DmXv+1tb+Ptb3/7E9r2bDbjJ3/yJ/mO7/iOx+w2/jM/8zP89E//NO9973sfVwTKD//wD/PGN76RdrvN4cOHefnLXw5I2+6aa6457+09WfWYQNPLXvayp3odF+tLuSqm6KG5co8w1XMOeCpbe955dBThRuO5Z1N5O91I0K2m5FuBAJCqvVZmyfnJtGSUQlQQyIHSGFS7JbYCFWAyGoXGTyZzMBMEsNAVY0ul8GEgUSoAgcaHcsajzmzA0gI+Moxfcimtu7bEM2eU4wJN++iQyaEOOnU0b36A7KoD5N0Amxh0Po/PUB7Jj1OKactgkx7NMwUbz45pnXJ07+yz+bwFTOZpPzBFec/wkibNkwICdOE4+RUNGmeheaZgtD/AzKQ1ZqMS3DhIBvI6CssgcSVFIsDJzMSbR48sNtLEmzloCU81uadxJqfohIx3G8KxR/kyIw0BS+FYwnKDknAOxwJ+al8oV7Z9SuC39BnH4LAm7zBnZZyAp3AMk91l5tlIl9YKJVsVUftGVf+v3lyw/jwJCVZerh/v0zWI27oypnu8YLa3gdeK9p2bMMuYXbGLeG1EttLCzDx5y6AsjPdDtmTpfCakf5WlcVJcq02GhO1OtbQg96Yc/9oIJo6iJwCi6JagvwCMlyiUSExJfaZRQSmg1l4YGu3xVj4EPhKXcZ0LaFq5BSa7FCYVdqZ5UjE+5Ni62tO+X4Dj8IBG2YC8pdFFgE0gGnmZktOKdDGk+ZwrUQ+cxI3G9feo+lzYpmHxbsuZaw2jQy3CkYCU5ppnuir5fllXQoSHR2SdwQTyrhLzzVaOnQZEJyOy/RkqkOcl76dCzUTjhJKWJk5B0+ICAwrCTZguGWbPMgTPeiF7fu8m8TZjfuKkM0djbQZa0fjUUbLnHMZrxVd987/io3/+xYtXuZDr+PHj5wCbuIyEeryV5zlveMMb8N7zO7/zO4/5fu9+97u555572LdvH4cPH36YOeVNN930ee//f/1f/xcvfvGLOXbsGF/3dV9Xp5BceumlT6um6bwtBy7Ww+siy/QY6lENLPXDrt+paapErO6h0zWViNw67JZomvBihklUisutl6mcMn+uikSpW3klJeytRYWhACOqHXSOarZE+L1dDkGUbT8JADYoo/FxiIsC8ucfIdxO0ae3iDeaZPs6DA+GLN2WknUNRbNNOCiIj23S/6pLUR46d26x+YIlkk3QmcPFGpV7bFNekyB1pIuyxvYJi9eK4eVdTC7i7fXrWiLKHXm2vqyBshANHbs/lRFtTNm8potJJZfNRpLtFY4l2qMShZvMUySaIlF07+qz/eye5I2NJcNOF550KSQaFGgLyakpm9e0CaeeeNuRdedn+c2zImSerhjyBsR9T7qgBDCVb2/7lGO6LKahwcTTWiswM8vZ5yU10Kk/BxbG++TvsF/q1+Ky/VcxSwmgIGsKkDl9XUDrFExXxNspGEkL0Bu5z3QVlj5XsP78hIV7CyZHFlDOY1JHttLCG4nsCEY5LtSM9zTJeorhFfLZmO6zmM2QvO1xgcctWnm/PFz6Z1Pu+9YGwVgx25+jJ8I4ETsBQlaVeh4HednK8uCtQYVWAIYHX2hUJq0vVQrxp7sURRumpSdEughmoolSmO726AcVRRNG+wyzZeCoId6G8R6FLmLGuxW7bs3YfH6Ppc/eIxYemTC2K++9kQfeej2tNTAzx77/ack7htbpApuIt5YdKE5fZ9h1i2XbGpmCazn0WSNaLOPxhUbHYq1gzoYUiwU6cvOprta8VaOMh1yjJwHTgwWt+4IaNAdTGF7mWH7pswk/9uny6y5+bXqa07+6y+IDMT5NhYld7RBMHmHQ5BlUTybT1O12n7TsuQowPfDAA3zwgx88r+1+8zd/8xN+/Ouuu47rrrvunMte+9rXPuHtPpF6xoCmd77znbzvfe/jc5/7HI1Gg5e+9KX86q/+KldeeeXTvbSLdb71SEBpRzivXFXS82WbTgVhrW9SQVgbXXoLutWsxdlVfIoKAkhCEZCCgCKthEEqxaM166S0TMgVpcWARewHsmw++mzEK0aZMni32RDTytCgpxJXorICP5mQLkVE/YLu0YzJgSbdj9zD6CsuI+8Y8mfvorGeEZ3sY3tNoqHEohRNQzB1FA2NixRm5nFGYUOFyUXLhAKnyom1SNE+aZktynMxqbxeaVczWY1QLkJn0nqzIbUHk0y4Kcn5QlpY0grzbD13QbRKhScYZuCgaBkop+xcoBgdaRHMxE3b9jTBpLQwyCHt6TokWBfI2Hvpih2MxQsp2cgY7UswmQCk2XKAmWmCCeBFfKyLnZ+VHb+9tPpA2lHeSLsoHFW5cAIGx/tEI8W0ZITakK44VKYwM8Wxr0voPADblwUsfi6X179hyBYMvTv6TPe3yXcnoGTkPt7UpLssZqIpuhZrLMF2gO0WJCdD0sMpoDj29U2KhRzb0sKylJNvaNH7BENDsVCUAnTAKrEfSDWMjHgbFaJ3IgA1U6hMYVuO3lEYHDZMV6rnK0Js2/Qkp0uWDnFM7xzzTFeEQQzHMk245xMpOre4QNrNutHAFYVYejjP4XfeyLGfuJ7dn8xQVqwpzMyKhmhgma5okg1ZQ7Ipwv98yZURKR4VSTvO9SPyBYePHGYY4FesACTv8bbUOVVf/8DhrPSSxwfFzDOYqvo9XntxzMGPVTsE0TTpScrC7dsytOE8anMAqx2CScErvu5X+ODf/9Rj3AldWOW9wj9B0PRE7//QqgDT3XffzYc+9CGWl5e/8J121Nve9rYndT0XSj1jmsEf+chHeNOb3sQnPvEJ/v7v/548z3nVq151UXT+TKyd4u4SOOkkPqc1d854NMIG6UaDypPJdDulRsnha12UQvc6AoasxZ7dKMGVlxEeV8aypJnct1qOd1B5NSkt1zkngEkrAVney+VBIALxPMcudfDG4JqhtNjGMyZfcQXNB0aYWYGNNZ3PbrD9tZLS7UJN+9ZTuEgzvWSRyUHJolPW1/qjimkpGorJqplHYpSgIZx4ko0CFyqytiaYMc+S8zJ9V02qVZ5MVRvM61IDZb0wT9ZjQ0mOt5G02IKpxyYalVtsrMk6AoRmi8Lk5S1F1tFMV5SE9048XkPrlCXrzi0H5HkJeAmmsPvGCbv+YYNTL0mIt4WlEhDkyUvH7aItgACo8/CqH2WphcXV/7PlcsKsMX8NqtsXTfmZ7BFvIJwckIuWr4HUdBecfa6AaRcpRvu0OG1vzFBOpgqbpwWQqVzhDWLk6BX5co7SkB4RwHT4v8p0olLIbbNSk1SUQvBCUfQK1I73Cg/KKdClODoVkbiaCZDwqtRAFYr15xrydvk+7nB0T05r0iV5P8OhvNZx39E465nu8eQt6Bz3bDw7Jm+HtE4X8j0zYrVhdi3LIITzHPqNmyXWZp9E+NhIE/YzbKLJm8JupYvQv1ycwM3YkC7KB8wXWgBf+bxILH45nT/Xndqt8kOpQg+BaLxoF7i2ZXRQrBNa92tmex7CHpUTdLYd1216P52Jc36k0ekXFh1fqPVEPZqqn/Op0WjELbfcwi233ALA0aNHueWWWzh27Bh5nvP617+eG2+8kf/0n/4T1lrW1tZYW1sj25HC8IVqe3ubf//v/z1vfetb2dzcBKQt9+CDD57XWi+kUv7RTBIu8FpfX2d1dZWPfOQjfPVXf/Vjus9gMKDX69Hv9580+vJia+4JlHpkzF7nzZWAyvR6+DwX8OM8Kil9l4xB9zoSgeLcOZolEYML01SH9UahhPWmpXi81DbVVQG0kn3yXrZJGEK7DOwNjDBMSuE6CZNDHVp3bWEXGmS9qNYmoaB5xxqEIb4ZMz7SIW8Lm9S+e5vpwS5522BSJ9NpYenNU4XvhmoOEswcUIlHja/NJSswtNPZTjnIuopwLEaVVWusFpEr8EoRThzB1JO3NHlTWJrKO0pnDp3bWkScLgRMd2nJhSuF2kVDwIty0jIrmsIoySi+ALfpkiKcCkCpnLe9gsU7y5F/J6BRZ5bh4YTBpYoiYR6VUemld0rf1Fw07gPJQPMaYWicCJN1rii6FpWrc/RiWEU4EjZD57Juk0ERiyC9+0AJJCeO0T6NbUhL0Da8WAaU720t3FZIok/L0rojYvLcGWojwnWEeZEpufLJuB0Hteq9mBrxaSpbc9VClVXCQJXvW+u4FnYpkPtWILGyJgjG8pyCiQBC8V+S5+gDWLktIxwVFK2AYFygb7xD9H55MW97lycxJ374elprnsXbB2TLDVykmawY+peXthTG45KS4WpDsWDRU01wYIy/p40rLRPUcorSYDM9Zwyrc4CKhduK8GUGn44tfhwSnzGi3YrhyC/dKOvSShjkThtaTfzZTerJOqMpnn2E8MyQ//HZdz7iPuXx1lNxzHik7b/kL/4FQeuJaY+Kccr/+if/5jGv9cMf/jBf8zVf87DLv/d7v5e3v/3tXHLJJY94vw996EO1KPvz1W233cbXfu3X0uv1uP/++7nzzju59NJL+dmf/VmOHTvGe97zni+4jQuxHhfTVBQF73//+/nd3/1dhkMxQTl58uQX1Zup3+8DfF5VfpqmDxu/vFgXVs1Hi+dnlb7I5zl0JahRUYSbpSLWDsR4EsD1hxK7UBSoVlO8n8ZTYYaCAIxBt0WAqJSeA6aikP/zQpy8K0F6YOpYlbpt126WonJhnFy3gU9CpvvbtO7ro8YT8k6Ii+X6aJDTONbH7l5g+JxdjI900Jmnc9+Ezm1nGFy1iIs0wUyes4s0vmzFgbBB1cGlZhVKbYvf+Y2tWlalo3fFwnjNOYDJa5l2Uw6iofzWhQCv6Yo4XqOgsWExqZdgX+somgF5W4vWypfb3DG9p3NhNnRGPTFXWR7kLbFDaGz4euouGO8AL+Xai4ZmuhqiM8fCXWPaxz3N0/N2Yv2ZKJ9blZsn4EHARTCljhjx5XSWS5wwPhVT5UUDpAvI214O9i1hTrKuiLobZ8WiIOsKaPXlJF84km2bqUbPtPw90hKgm8siO5+OGF9e4AchrmSYlPHSmqreTI0IwgGlHaQaH5bt48Cjyr/1VLyPlFXzVp6C3n0y3Vh9LmzLEUyEAWuegsa6vC5xv2xPaggnkkuX9QIGlzQYHgwZHRKbDxUEc9f90vASYzjwb24mHDmy5QY6c9hQEY083fs8rZOyFjPRTPeVi4ktas8MYxzuyBS/dwaLWU0kK30uYFS6Yo8VvmWhVaCKElgllqLlyXq+9KGaf+C9cxKqHQZzrzQA5wnvXSPb033Gml0+HeaWL3/5y/HeP+znD//wDzly5MgjXue9f0yACeBHf/RH+b7v+z7uvvvucywCXvOa13DDDTec11ovpDpv0PTAAw9wzTXX8E/+yT/hTW96E+vr6wD86q/+Kj/+4z/+pC/wkco5xw//8A/zFV/xFTznOc951Nu9853vpNfr1T8PHcV8onWRZXritdPDSScxekeEiW42Jf5EKez2NqbVxGd5PflTm2MajT6wD3d2A9sfoBqJtNIaiUSkpJnscEsRuGibpK2nwgA/Got4XCuJWSmK+ZSe97hmBOMprhVTLLZQhWN6sCsMhtaMn7eP5OSQ5rGh+CcFiny5hb7zGEVTY1LRBCnn2HzJHoLUyQg41CzInD2RA6UvXbVBAITOfJ0bp3wZm5LPDSOhZHzyHSwN8wOuC+XgmvZkPdHQUTTEoLJx1hJOPNMVI4Cp8OS9EJvI1JnOxHU8GsqUn0lLAKcEfEG5/mIO7HQp0k4XRNdUhSYrW7FS4pmEgrhvKTohg8tadI7ndI7Zul0ZDs9t08lz8WUciWwz63pcLD8+ml9XgaVqfbbpxNrAC0NVNDwuEl0USqb0VCFAqX+ZgDGTyuSfLr2XXFvcu4tFEV6FfU3ruGH43BRCRzAw6FzV4u9qAeLHJK7ZKnR4K95GampgavC50FcqkKgVrMJFrm535W15f3UGNhK9lDOQLTjaDyiGl3j6l3tsU26bd6B1Skwode6J+gXNM3kZaKzQSwu40tfsHKap/Nx3PvA5zrwgwkWaqC/PNZiJL1XjtCLaBozHHZxiEkucVC1yL8RQWIrfdx7Iy7+9V/VUnffy2tAo9VyqnDp0ikO/cbN8J+v7e9CKYqUlukKQlp1W+ImcKAXjuS7ymVSVpumJ/lxI9clPfpIf/MEffNjl+/fvZ21t7Qve3z3EEX7n5Y/FYPOpqvMGTT/0Qz/E9ddfz9bWFo1Go778W77lW/jABz7wpC7u0epNb3oTt99+O//lv/yXz3u7t771rfT7/frn+PHjX5T1Xaxz65ycufJ/027XYbyUbbIqFkUFobTk0hQVRdjtbXQUlRly4vxNUWCWFkT/lMS40ofJtJpC40chbnOrZJu0tNkoQVoZw0IoIbrCQKXCKmU5qtOW+JROG5oNdH8ibBSgpznT/R0axwdijjie0frsWbafu8Rsd4twKK2tcGvK7MVX0HowJRjnJMcHZIsJ0UAmzLwCMy3bjxX4QVyrq+gSVVTAwUoLrVXqXAIRg1dTYS6o2lwP1fbMrQCKeL5DLRLFbFEMGysQVnk3qULYH4lHkXF6F4iBpjiIe2E5ynF2ZcVBvLHhiMaSXac84ObZdTYSMKdLHNE+WcjzT20NFF2giIaWvGUwuad5itIfar4+1A5xdfUcA1mPmSkBUwpcsKMtuQNAUjI3YnkgTI5X0p7TJdistFAmFWdsGzEXLmto3RdgpppgMxBNz96c8ZUZahDirVgCeA3BWgSZhknpTK8r1qlcj/L1CL6PXNnCQ8CElVYpBnwoQFA5mKwqZrvk9dWF2BE86yduqoFeMFUs3jn//ExWxfE9GnrSJbFhSHvCAGIt5rLDqChCRRG61US1GvJ3t4Na6HLgXTezeWVE0Ta13q17TPRSykHzWECVn+ecRmuP1gIOVQUWq5w9vQO9uhIRW43KNUp5dODwhdCPyiqxbXC+tv4QsZgC68jbgYAlpepgbWUM4W1H0SfPPmPZpi+1iuP4Ebs7d911F7t27XrU+w0GA97whjfQarXYvXs3P//zP3+OSeb6+vqjtg6/GHXe03Mf/ehH+fjHP05UhZaWdeTIkS+KuOvNb34z//2//3duuOEGDhw48HlvG8fxE/aoeLS6yDI99vLFPPKkEnLbUV5OxOUEu1dxW9tQTtB5a/FlvInt9wVwGYNuNnHDYene3cBubEpgb5ajmk0J1o3Kybo0FR0TCDAq23l+Oiu9mcrPbyB2BCqJYTCEysxyOoNOGx8ZafuEBh9odFGgrSfd25GdeWCYHl4g3ixQztO4bxMfBqizmySAjwK2r+qw2J/hIhFPC0vkyHrlmrQwR15B4/SMyb6G6ItGBc4osm4gobklWGiu5eQdw2xR1605t0McLAwQAjCAKi7EG/lbW7BaGAhbGhQq6wlHEI4tRVPMBnXuy3adtOeCiSPtiu9T4AWshSMBMdIWsoz2yMHZG2FFki2HMyI2D6ZOhOgOwqkj74Z4Ba2jQ7JdTbKmYbqsiUa+ZncEtJzbFqzbdhpc+Rzzrp+za3YOEOfeUKrUNFGP8lfsEYDK5RhcdErPp7CKhxFgqDzoVMb6VaEoOpb2fYa8G+KCcq1j0R350GP3z2Q6LjNQaFTkhFWpXL4V+LbF50paU6EgZKU9tAr81IgJZkem7YqGCJlWbob+5aqe5tt+w3WkS9BYU6zclrP+gpAikbYpzCNuXADbV0Ss3jjm1EtbFJfuIzi1KcavVx5i68uatB8sUFbYmuAe2ZcXDckkDKaOcGyZ7I4IZp5dtxacemmIyw1Ki61AlgUo7cnPNtCdDLcdoRcyvFcConQ5QQclgPWoliBr7xQq9OjQYQuHSjXHfuIFHPr1m+X72yj349bSvOW4vNVFUfuwyXc5wKcpZrZz/PKZUU+m5cCFUq973ev4xV/8Rf74j/8YAKUUx44d4yd/8if5tm/7tke938/93M9x66238t73vpft7W3e8Y531Pl3Fe54OqXY5800Oece0Rr9xIkTdDqdJ2VRj1Tee9785jfzZ3/2Z3zwgx98WpHmxXrsVTNMO6fllEY3GnULrDh9BpcXteWAabeo8qdUEKLbbWkbaAVBgBuNcKMRZu8euU8Q1DtQ8mI+TRcE4uRdMkooJREpQSDbsk5o/jAUwFTpmvIcN57gOk1U4fBxKFNycYCaZgTjgnArFb1HNyE5OSQa5ESbKdn+BZT30EiYHugwOtLGZJ7pftE1mVwopaxbmm+WTt6q8HijmO1KiLYL4o2UoimvnS58edByNE/nFC1D1pHWWTXyX4EA5YXVqUBGxdJUTt8mEzbIG+jen7H06QGzRU00knWN9ofYuGRklMJG4uHkNYx3B2I30FDn/MwWNC6UKIzKDynuO6Kxq3VawUw0VLqQ6JJgVID1mNxT9GLCYSaMmRWjzSpipWrT1S26QNpzLpTQ17pttwNMPVQ0rtNSI+YQDZLy2Fi0SmYqLUBTsmI6m2unqu0oL+J213Ckuwtc4tC5YnSZJe948q4jXbEUSwVFy0Fsad6ewFQCenVs6wFO78r2awUaQgfaE5yOhGkpo0h87HANJxooJRl0+YLjzFdYbOKJzpraHVzn4j115noBob175f2NhsKW5S1F1pbbnfqKFsrByZe1ePBbDtJ/1ZXom+5k5U/vIHlwQDjMMHfcj5+lYC0H/90dpAtaAPSkYLqkmKxozlwXsnC3l7aiAlvoml0iEt8mvSC6pupyvyN7DlOCKKdwVtd2BCZwNbBMF/1c02iM/O09kxccon5BQVrxSigvpTTm3pO84pW/8nh2V09bfSm2537913+d0WjE6uoq0+mUl73sZVx++eV0Oh1+6Zd+6VHv9+d//uf87u/+Lq9//ev5gR/4AW688UbW19f5pm/6pjoSRqmn77meN2h61atexb/+1/+6/l8pxWg04m1vexuvec1rnsy1nVNvetOb+I//8T/yn//zf6bT6dTjj9OSkbhYF2b5nQB7h9jbPfR98w4dRdLKS2JcltX6JqwV9ikrJ+gAc/AAbmMT3RHGx+dFqVPKpRWn1NwuoMyg80WBG09ENB7H0rpzTtp0cTnGnEjUipvOUA+cZHZoAR9ofGwItibkuzvlyLsl3EoFVIUGPc7AKMIzI2w3Ib1iN+FIznjj7QJdeOK1MTq1uEAYJ9FEKYKJFQfuXACFizRFMyAcFuRtI0CovL1taJTzApYAFylap3Jpk00lZNeGcnttIRqU4uKiEoDDbEHTO5qxcU3Mqa/qyUEvUrTWMprrlnBk6/y6oqGwsfxIBl0JzgoBbC6Q9pyr2oRl5pvXAlSKpqpZtHBsxWBzKyUYpkSDnCJWpMsRs13S/vQBbD0rqKfyzimN6IB2Br/6Hbfb0QGCEkhmouUKh2I5EEzLzDQrLIoricUqL65m7qISONnKA8rjEleDNDPWLN9kaJ1QRFua3R/X7Pq4YfEOTe+miOleR/teAw0roMGf8/Hf0apTUIhVg8q05LM5hRkEYm8wNSIYjxwuEpAYb0hY8JnrSwH/Ooz3BHVLc7qi6tgaFKTd+fOM+rB4d8Hej09ZuTVFZ57+t12Ln07xdx1F3XKXeJJVLM50xsqff64MO3Z0jxWgofWgJ9mydD8bYkJLI8kJQ0uRGpKeaKXMDl1TPS1XgdtabCeoWBkBj0Vq6jfQNR1qz+pc11SyyI3jw3rfoqJQ9iXe15d57zDTZx7b9KVWVejvX/3VX/Gud72LN7/5zfz1X/81H/nIRx7mDr6z1tfXzwnwXVlZ4f3vfz/D4ZDXvOY1TCaTL8byH7XOuz3367/+63z91389V199NbPZjO/8zu/k7rvvZmVlhT/6oz96KtYIUNu3P1S5/wd/8Ad83/d931P2uI9UF1tzj6N2GFrK2aM5x8zS9Hq48QTdSCjWz9ZMk05i3HSKbjSw/T6m10PFMfbESXS7hWo28LNZKfJOxPtFqbleqfJlCsW7SXfaEEe4s5voTlusCeIIt74hjFSa4VNhqtTKEvFpEZ27OMC1YhFb9yeowlEst1Fji7KWYrFJuD7Ch4bZaoNgavEKkvVUROBWGBUXmTp/DuaCbh+UoCTSuEAMLUkdwcThg1K/VE5SZV2DmTlMDmbmGe+TNl/W0cKY+FJzciZjvDeqW3aNs4V47jQM6ULAyq0zNq9O0KWfU7pQtQsVwaxspXklkSaBALHKRNPGYpKpCxnXd4ESNqk8AywSVa5FfsKxxRmFyRw+MninydsBuvC1pmm8V4s2y4n3kt2pACgPuOI5teMAvIMN2gmWVFYeeGNfT81VoK7KtatE64XYZRGMZIpOXgMPGrEZACiZrQqw5SsFk0lAvA0L90gO22xR8tl8DK0HNMNr5HNUt6fKNVeMQBXU69se11LS5nIKFTps1wuI8gqSQvycjHg2jQ9ZdCHap/Zx6F8GRdux92MwRcTUK59O2XpWXBqcSrsuGjmiocPMxNdI5Q4XKTr3Tbj/Z67nyC/fJM/VOlQUMX3Js2h87HPS0laK7ava9O6ZUjTnbe+8BW6twXAhYNeHIpa/6xTH7tqNWcwwxgJaAGeuweo5w2Z1CZgQQXk1MRo6MA6dB1zxYzfjKmuNLJOWexDAfcdLh3DxmqoYqOpESSlNcKb/hfdJF1D5J6E9d6ExTVV95Vd+JV/5lV/5mG9/6NAhPvvZz57TTep0Ovzd3/0dr3rVq/iWb/mWp2KZj7nOm2k6cOAAt956Kz/zMz/Dj/zIj3DttdfyK7/yK9x8882srq4+FWsEeNTxxy82YLpYj6MekjtX6Zbq65TGDobgHba0sJCsuKCeorOjkWigAJ+mIlyNI/x4ghuMyvw4KzvRRiJ2AZRno3EkACoIcMOR6JXqtUnLTx/ajx1PsGun8VlGcOlhfBxUKlfMKEVPc4LNMTjRKum0QDmHa8Uium5GpLvbxBsp8bFtaUXljmBjgk4LzKSQ/ydlXIujbsvpVPLeVCHZb8naRHLp7JyRMiWQCaYCplwgCfVx32FST9x3xFsFwcxLG61pMKknmDgWbt8m6wjYWv70UNaWWpqnbSkYV7TvGdB8cEo4cRSxrttp1eScyagFuRW4ATkoV0aaqLkAHKQtZyNFuhBQNDU21NiGYXywwXhviNeKvK0lLy0TAbanBDheRucrLZYqBAyJweS5bbi5pqs8yIalMaRV2KYTbU4sYKxolpl1kYCmcAh4cLEAqngTTCbCcgAfuzlgsgofeqIz0ooc74O0q0gXRCc13SVM3/Ayi9kI5595r3DFfHdb5cwp7QVQDXecv1adp8RCsygFaB4CAYBh35CsieXB4BIv+qVWwdlrNOmiJ+/AdCUk2XT07nO4QCYAJ6ua8aopXy/F+EBCvGWxrYDdNxY88FMvgMrjLIlJPvRpYXeVIrnvLL27JwwuadA8mdJYz9GFZ+XTcnLgM8PkmwesbXXxoSeICpTyc5at0DDT6KkWS4XaaKq0ici0vHdeSYyMpWzl79CnNRLU0sLc6BbqqTkq4FTVcMQrX/HkejY9leWpu/WP/+fpfhKPUB/4wAf4xm/8Ri677DIuu+wyvvEbv5H3v//9n/c+r3rVq/iDP/iDh13ebrf527/923PsC56OOm+m6YYbbuClL30pb3zjG3njG99YX14UBTfccMNjNpp8ptZFlukJ1M7+xEMdweMEl87QsXwhXDpDhUE5VTfDtNtytunKsN0kxo8nqEaCtvF8kiYKy0w5OXKraB6PosIYvbQIeV6LxFUjgTDAHXtwHiCcZQIMMgtpOTk3K6frvMd3G3gjwnClFF4pzDinaEdEG0Idu06CTgt8oHHdRMJ0UwFNOnfY2KC8MFAu0OV4v0RX6LxqqUm4q8rFbFP0StLqwpTtvFxiWAQciYg73syJjp5h+IL9mExAy+CqBYKpw8aK6Z4GyXpKtizi2vaDOS5SZKtNglFOkWjCqeiRwkxiVbKeIZhK+7ACYyBicRUK6CoaMo2mnUcXZbRL2forGnJALJqacOwIhxZlNemCJuuq2nbBArPVMi5FzafnvKtYph0foZJ5E0+j6kIIJpqiI6+hL9kZm3hMqW2qWCZnZKLPhZRZfPKT9TxF00Mo7TiVanzkIVdgIOgbdA55p7Q5WNdy0AsE5IVjSEcG23AEpyLs/lnNAnivarCkA1drnNRCJnYEylNsx2JZMJX2HsahQ4fvhyTrkuXXWIfpXtE6eSMMjg88nfsVs2XwRpE3FMm2o3NcjDqzLphUMd0V0jyZolyATTQ+Y27v4Mr3c3sg03RKw8oifn2DYDqjlexnujumsZ6xfVlMY8MJmNSeLAvQxhF0MvH8dBrnBCyakZGpRi0tU52KCSkgU4ZOGE0SX8bLlO9nGaRdtdiLg8uEk2ltbqs6bbEMkRd3/uFwHj175jqEfynUb//2b/NDP/RDvP71r+eHfuiHAPjEJz7Ba17zGn7zN3+TN73pTY94v1/4hV/g5MmTj3hdp9Ph7//+779g2O9TWeftCG6M4dSpUw9jlTY2NlhdXX1EkfiFUk+Gu+tF0PQ4amfW3EP+roEKwi7pJMaWbbp6hwmlVikQo0qlcP0hemkBPxqjmg0BSlpMKZmW7boggHYLRmMBPKU5nup1ZAc7nclZ9Z5VsBb7gFhSmJVlaDXn487G4JoxylpUKtop12uisgLbTkTXFEhbRDmPHsywCw30JIegNMSMAmmJlG7elXYJJblnJneYSYFN5DxG5xZlvWzXe6arMUHqpa1XtaZAQJOWVlm0meISgxlmFAsJ2UIoeqmgYoY8NtY0Tk2YrTbq8X7xYaIUWpeto1IDFUwK0sVQWjzDHBcbiqYhb2map6X9B2JpoK0v219luwVhoYqk9AaycjocpJC11RyolEBI8tSEBao8quoIk1C23TquGB3y5ziv+0Bej8rY0is5MNcHZSAYaWyj0hFRgyxTHry9EmbKG2nLVW0j0a8p9ETj2rYEUI7mAwFFg7rtFw0ELHkFsxUx0CwWrNgahA4VlEA4cLjcyLoLJVYDHtQwwIces5AKcOrHEHghUUYG17GokcH3cnxmCLcMNvEk65rpXotOpbUZjMX2INmQ1721JizkdNlIezX3ZC3NbAWaa55k22GmojXbviImb8K+3715PhQBNeMLgPNs/dNraZ3KSXtBGeuiWH8B2BXxbYhbGd4pskmIDh1uMyY5o3ExpHty9NjULVMby+tds3rdgviBiCO/evN86lVrsQ3ptGWf4D2+PxCH/2ZTArTDUC6rBOMAjYT/cexfn+fO6tz6YjmCP+9PfgzTfGKT3naScuvrf/0pW+v51oEDB/ipn/op3vzmN59z+W/91m/xy7/8y+c1bX/ixAn27duH1voL3/gprvNegff+EZXrGxsbn1fcdbH+967Kk6l2AIc5yxQGYmzZSETQXd2n1RANkveYXnee/Qbo3SvireS9RKxUWVRbfQFY7ZYApf5Q7lPdpgRBfjAS0WiaQl5gjz24wxnZl9N4pdlfLm24akLHJyEqt2DFsFJZi87tnB8PNGaU4hphrbVQhcOkFp1ZObCHGh8KIAqmFlV4XGTQ5e18oNGzHDPJ6wBVmQCkBAildqhhxLhSKwF1hce1IopGOXmXiSaqaGiKpngz5QsxRUOLnqqQrLnZckC6YOp4FgBlPelSJCxSoskWI9KFoG7ZuUATTEUE3l4rSLYE0DXP5KLJQkBEMJX161y0T1lLmAQbl608Je7cItKGaLtkkSyYiYCAaFvact3jYnzpArmfi8q+ROUyXcltIolX0ZkiGGm8gWCkMFNhpSozTIlHkd++EmcrpAXoFHomrt22I4aLOpN4E5vM/Z3QYiaZtcvHDue6Kh862ZaSlpzLTDlFVsarWAUzI35TgaMYhRSzANUsMM1c2neFktZWJi7jOimECSvZIZ2KUWY4UDIJOIO8AcEMGmdylBNwJO1iAZk6lZbq8IDBG0XWk/c1mDEfoihLhiw8qpHgXnAli//tFia7QxpnM0b7NMnZnNUbPYzFXqHIAqzVMApw2xFoeVxpr+q6rWob8hy8QdzWM0XvU1Hd3tW9jvhIBYHEI20PIMvwix1Us4FKEmGFq2nYEix5L4aXpClf+7JnhmfTl+L03Pb2Nt/wDd/wsMtf9apX1Ykej7Wuvvpq7r///idpZU+sHnN77lu/9VsBmZb7vu/7vnP8j6y13Hbbbbz0pS998ld4AdVFlulxlnd4Sy3uBmoApYJQzmTzAjed4Ysc3Wyi2y3cdh9XaZq2tzELC7JDjyL85rZsJwpl5wn4ibTraCSiWzJGnL6jCAIBSlgL1uJK7ZS5/BL82vq56608n7yXHXIY4LUWKwFAzXJcu4EKwJwd4tsNbGJQFWOWWxGNl2IDYaEqYCOX6dyhM4uNd5h+loDNBdLys60IMy3wRhFtZ+SdEDMtsI0A5TxmVuB6EWZqCbZn5Eui89C5xQeKcFRgEwFC3ijBdB6mu8LSXFJy1lQpRseLgDuYCSHoAjBTi+0F6NxTJNKGy5sG5WRiK5xIKy7tiaYk3rZknaBmt4DaGNtrdkS4iE6rAoHBFLKOXF80Sw+lEiOiSrG2h9PXGcxM/naRtPHMTGFjMIWqRe/eCHuh/Pw3SsbuzUyRUzFLooMKRqrUTklrzhsvY/GFQk8MXnvMTONC0RVVbJVNqvdONFHWipVB3lEEQwNjAWyFRsJ7SzaMPJBeZFNy22zboifiCeZWsnpMX8cW29GQCyOm1mPcUkY41OS7c/K2JhwofKBqoTtK2o4692QLAcHYUjQ0JoPZoibryBpnS7I2H4hern3C4o1i6/XPY/G/3lx/dzFGDGGnM/Qtd4kAvKGYLYXs/uSE9WubREPPrk8q1q8HN4rxiUM5hWvK83IhpLtKI89RQL4rJ9gKcHEJbnNwKJrrjt2/80l5zCAgv3IP5sbPSVu91Fep9S3yKw8QPrgFw7xmjWW9pbDOeTAaM37s4bJPZzlfDl08wW1cSPW6172OP/uzP+MnfuInzrn8L/7iL/jGb/zG89rWhRSR+5hBU6/XA2TxnU7nHDfwKIr48i//cv7ZP/tnT/4KL9YzturgXUBHUe327UuRp7dyG7sjszBYXsaNxtiNTVAa3W5jB0OCpUWZetvalrPPZkMYpTgWgFM/qJJg3U4bhiOZnItC0EYAVRSWO1+NWVqA8VRE6NXj790tZ6lJjG/GqGk5SeccKivq0F49nOB6TXyniZ5laKXwsRHA1AhxkcGMUtE9WQ+FrTuTwTjFtZNaaF2JnlXh0LMcF4foLCNfLLVQmcUmAfFmigvlgB1tTkl3NVG5IximqKIgmOSkKwk+VWJX0A1qnyS8nwf+WpnaE4CiRVg+dcI+5QKkpGUmYEusA6S1WPlB2RiigXg2mVwOot5Ihl7zdC7xMTOZzrKhMEtVy+6c4GBDPWWnrIioo0wAiDeIzkUJKDEzETSbtAR0MwFeyosbdmV3IALvEnRkag4kqpiX0oMpHO4g2ivys3JXdxoXzNnDeMOQLTgapzWqZJeKhtw22hbWScb9qdtOOleoTOwEwg1pv3kDelZGywBp6HEtCRb2iRMWahjg2mKW6nNDsBWQLxWEZw2qgKwn4I1cYRPqeBXlShBXrtmFiumyoQHEW+V3xJsaqOdNaZ9uXRGweHeBUwoXaoaHFMtLC7iNzRowyQalXa0P7GX3++5k89XPklZw0mS2rFi9qUBnBm88pm+wbXE6D7c1lG3O6GRItrvADAN0Jp8tnSviDdj3OzfNY5UAt90nvFPWxSyV77H3+F2L6LSg2LNAUJTfybhErLbMnCwPsvrUBq98xTv5wAff+vl3VhfrSa+rr76aX/qlX+LDH/4wL3nJSwDRNH3sYx/jx37sx3jXu95V3/Ytb3nL07XM867HDJoqNfuRI0f48R//8YutuIv1yLVDs1RnvVX2ASVw2hnCWf2vk1gYpf6gvp8q4xOCpUXJg5tORdPkfOkKnlBFKwDizxSG4rWU5+L83WxAXogFQRTitwe48URac5MpfjgSW4NZSrBrWRzCi0Km8NJc6P8wFEdtrVGunFM3Br01Bu9wSx30YIr3CT404JzomQqHzkQMjtZQOHwQCOuklLS4QlVqipyIwhsRRTNA2UAO5F5aYSaVAwIhKO8pOjE6c8RHz9ZO6G6xKYaRqSVdDIn6Baod1OaQOvfoMg5FlWAkmIqeqYpIKZpaJspGHpsogqknb6paPyQ6K1WH8iovjtHaioi4il2JNwumq0GZh+flTNqJKD2ceqZLwnx4Je0s+cwAumSPsjIaZCbaHGvl+qgv6yCmzpbzWgTYtrxMW2rLgWqiTznIW772blKFAMNgKvcztsRnZbRKvKVIFw1mpkg2oHPCMVvUAorKFlc4FIBUNMRIcrK7nCQs24niDwXpUrmumTxm1Jd2ZNFx7Hu/pnEmY+3FCeNLC1Qur6lzCj8zEEpwbXIqIN1TYAaG6FQoz70vuqZgIkxNvC1PuUigcbb0dOo7oqEwjkHpG+aVIR7KNGA48Ux2K9KuIV1QtB+0LH7Ocfp1l7LrPf36pMTv+N66k2ugxDCz6MXl9CScflEA2uETh9Wlxq8flKaq0FjTYn1xLCBd8nUEThE79r3j1voES4Y3CpTWuL274O6xtNz2rKI2+vgokM+hlta33beC2R6j0hRfap6qwRAAM7rw8+iqCbgnuo0LqX7/93+fxcVF7rjjDu6444768oWFBX7/93+//l8p9QVB00//9E+ztLT0lK31fOq8p+fe9ra3PRXruODrYmvu0Wsno6S0mv9dAibgHGbJl/5JqqTgq52cm05lnDgMSodwB3mBWezhRiMZM3ZewFAcCVgIwzIWpZyaM7rUJFlUozHXZ1Tmd9Np6evixBRPyVROsLQoYGYwgkN7UZuD2sIA5/DrG/gj+1FpqY/S5WOlhWTTAeQW5cRBXFn5m8KKK3maCSBTVswwc4tXCu1LLZbW6GmKLhzRNENZj23HKCsMl7YetXaW4tmHKBqGYGylnRcG0kLRIgROzkxwSUi8OW9LeKNqsbeNBTBF/YKsF8hUG9KqM2kVc1KCufJYYzJQtrREcHOQ4zXYsg3ndZmhZ2GyKs7hjQ3RWHkF432BRLsYSDu6btPZqNT77CQLq+2lgJfHr0BRJSyvwJJOhVmaLXvibdlW5eqtbMk6mRJYTaWFpfMdU3klsPEG4qGI0sOR+E8lGwIOm+ue7cs0wQTxbmoIy1UZfYbjeV5dNIDJXnmMYAC2CclZGF7maD6oma3IFF/RhGhDM1kFZUNWb8o4eomRqbLYYzZCbMvBVEBU3vFE6wE29rVoWhXihWXSErgNYOlz4iQ/PBDQOV5QJPMTlKIdEJ+eEg3DemKxSBRRX14LnUP/EiP5cusySOEnk/J7ZUrkOnfoDmaieWus+1r8PzyssbG8v+mKxXcLZm0FqSY5Lfctmp5gXBqNTuEcWwE9PwkiCFD3SWSKWlqEU+sQhujhDApLcXhZTrjGqXwXF3qozW3RYGlVp+2Y9e3z26E9DfVkaJIuNE3T0aNHn7RtvfWtFw5TeN6gCeBP/uRP+OM//mOOHTtGlp3bM346RwEv1tNYD5mEA6QVV+XOleCkEn8rE9XeKm4m1vjVRJ23VjLlvBNBN2CWFsVkr5qKK8vPZvK/1vPTNa2hkeA3t+SxSjG57w9RjYYIx4sdAK5yDjcGtdCDaVb/L8yTxV+6Hz1Ka8E5UDM8ZBLlovICplZaeoERZgqLyqrkWhGTK+VQubThMMKmqaLANUJUaqU9N80xI3ldsuUmJrUESwugwcxE3B2tjeX5JjE+DtFpgW2GuNigchlFx3nM1NUGmpXuyiYaXXgxYyz1RXbHATaYulJgLlqrvF2Kvsv2FeVvEZNTt990pfsqPahMatm6IhGwZTw6m0/WFYkwVE5RZ+uZWaV7ElBVRbjoepsCVrwCU3o4SU5fGU7sBVwpJyDCpQLydA5ZTwCYmc5v4yTPGWVhutsTbwpDZLUArngTxquyXhfN11cBt2RLfLCGByTUNm8z11yFsl4bQ7yuKZriTF6BtaAPWVfE/HnHoDKHmZUHPgWduw1FqwRMW0oc0ZXYJ0R9eb7eiAg9GEu7zQWa+GyKKd3hjZEoHFdOublGwMKdE7avbBKOS6YnUaQ9RfOMo33SYWYi6O+/5tlkHc3Ke2+qv7dVi84XBXHf0Tw5oWE0NgkYHopY/VTO6ReF5G0vAvVOTnAyOWfaUbRyYpuQLkhL8fiPXMuBX/vk/CSrDNFWUSTscmX5EcjJiuskwjhmWQm0LL7ZkJOnVE62UDJ1R7V/uVgXZHW7XW655RYuvfTScy733vMnf/InfOhDH+LMmTM4d25EwPve974v5jLrOu/puXe96118//d/P7t37+bmm2/mRS96EcvLy9x33328+tWvfirWeLEu8JKJM3eOyBulcamIM30ZgwLU48Auy3DTaQ2YdBjIWWMUSTSK0TJObB1YJ/EnIK7dWs1du6t2XHU2rEthtXOoJMENRrgzZ/GDUZ1Z57O81FYJiFPGYDe3hUEqCrEoUHqu5/AePZgKYNrJgSstt3dODirV71kKaS4gyrr5dvMCVViZvCssejRFD2fo46fRZ7Yxm2P0+hY6k6gKH2gRg6eS+O4DDQ5MWka4ZOWEX17gokCuRw7CRTMQhqkQl/FsIaAoBdwoEf4q62sQFYxt/b+NxXAyOZvhtRJ375kv2R9xBTdZ6RBesjoSElzqSCrfUusxk5zGhpV1hGKNUGmKqikqncv9lZtP2uEFyEVDTzTypfalet1FyFyxSHXkioflzzhWPu2IBgKSzsmh08IkFW3Zli4ERNm43OagXFsuwCcYywE9mJW3Tamn/mwi17sAhgdNrW8qmtJ+M5m0y4LpnIGKN4XVspEwZ9Go1CLZUhc11WRLVvQ/hSJdgqzraawp8q7HzMp1TUUnJQAakjPCdh36szVcKCDcpJbx3rAWgetMTFO9VthWQLJl6/crHjjaJy3hsCi1XhnOKDr3T1i6YwJXXVpPre70Wmv97adJl8SPLDo7Jhp5ioZm+XZHOFKYmcJl5iEh0mLzgBJ9miqgddJz4Nc+KeCneovDABXH+DwXA8s0lYGOwuLX1tH9CWaS45e6MqjRbqDGEzkBicv9QbU95/j669/+BfdjT2d9KU7PPdZ6NJH3D//wD/Pd3/3dHD16lHa7Ta/XO+fn6arzZpp++7d/m9/7vd/jO77jO/jDP/xD/uW//Jdceuml/PzP/zybm5tPxRqf9rrYmvsCtdNCoLIVALzlXOfvaoquqvKyivHRJSCiKErzyqmAJ2NQYSgMUZaXgKocRHCu1iBJoK+pJ+T8cITpdXGTCX4yqVkl3WriRqP6rLYGfXlRb5+lrphbel9ur3yO1pb6JDtvK5RWBFSi1Oo5awVux30boZwBp1bAnS8B4XCEXl3BdRLsni5mWlB0YsLNCSrQqMLVDFp0tox1aUYUiy2CrbE818ig04J8UbROpoxpyTsBykO8kZH3QolomYmtARrIoGgaXKzLqTNFNBSWaborqsGMCyuAIeLwYOooknIa0JSMUQCmkANk3lREA0X/ijZeQzTypOX0HMy1R0VDWmCVCafXinjgmC0pwoEThqi7w4FcQdwXpifelom7SlRtUuj+z/vAGJonVzlzXUsm8fKSvRIbIWGASkF4MBUApPPS9qBsVWW9UqRetr4qcXUwFXYkHFWtQkUwobRTgKJkuoJJOd1X5vSFU0/WVjVTF0wgLff7NkFA0VTE9FU2XpWZly1AMFGkC2XO3KInGAlwcu0S3MVgl1piX5FZFNA5lqG8p3kqp2iFiKeVQqcWE4gZlckVWad875X4dg0ubRLMPNO4gU4dGy9p0n7285guKfb8u5vqyTS8J28bTJ4QjHLRUG1ZbKLZdYsn7WrOLEhb06TCqgVTWa834md1yf994znsNN6hms2S8Z2ilhZwa2dQK0swHEGnjbIWt9DCBwa1PZJ4lV5XvlPNSMxry6xJFUovWZ/eOq9d2he7vhSn555ovfe97+V973vfU5pp+3jqvJmmY8eO1dYCjUaDYTm6/d3f/d1PafbcxbrA6yEC8HN2hDso950i8BpkVWZ0gIrKwLEKHGkRUfvSxVtF82gKQIAU1CaYTGcCYiZT3GSC7Q/Qu5bn2zdmLmr1bt4uDEIxvtxhYcB0BuMJjCYCzpwTQFRN6+X5nEWaid+TrEXE4HKbYt42zDIBUa4EWNOZCNEP7cctixmdGWdQOMw0xzUj0Xolofw0QopeQrHQEBNMrbALTYq9S6jC4kKDSR3x6Qk6Fc1TOCzEqykUtiEaFoRjsTGQlpwpjSzlJ5zMAZcuPNp6ooElnJT2CaU/VN7SwtbkAoiUow7PFQbKk7c0ybYwGnlTRMfh2NcMFYjgXHlp8UVDedzKWTxvaWyiyJsCGPI2TPYIQ1E0YLpatvFKtsYFcPp1l0MYEJzcpHnW1e2gChiZ2ZyZCkopmpmVmqSptLpsBOFADu7hUA702srjiqu2bMvGpb5LyfZNKkDOV5N1dm7UqRwsf2aKDwTkFS35sUnJFq0rgrGYU0b9ssUHtcs4iNg8XQRvfH25LnVbOoe1l3Swpf9XuruBmRXYSJMtyHdKFeJAj1I07jmLLhxYT7xZ0FzLsbGiiOV9irdykvUUHyqWP5MTDS0L9+RsveHacmEe3WwSjsSFHu9pHZdcurytsaGicbagedyIKekpJ89vIszd3nd9kiO/8Ml5exw5eVFRRBW07ccT/Oa2tOcmU/x0BtsD+c57L5Omyz05Mctz2feEgfiwrZaiYVdaJjxERnKxLvzq9XoPa9ldCHXeoGnPnj01o3To0CE+8YlPACL6upC8FC7WF6d2Ap5zqnL/3pk7twOkVPfVoZCdSisIAgFHjR3ZQmXWmdxd2KDq7BGl5O8yWw7nhWkaDMVTptkUpun0WVS7hY4iAXM7dtTngDgt/i5+PMEfPYE7sy6tgWqnPtuRWVdN6JTZdNWkTt3CCwPIctzmdslAFXImXFhxLo5F06X2rtYux6pw6LVNXDNEj1NsEqBHM8zWBJ1ZsRsAsRkYzDCDqSx7KsDRNgLC/gyMmGlWJ546tejUEm2nBP0MF2nMICU6M5FtTSzBxMrUWSGO5WYq2hYbSYtPZyWQynzt8aS8aJqqtt3CnRN6n+kLWzVyJBs5WUecn+O+JZi6GjSYVDydtPUkm6K5spHczxm53quylVVqhLyWNlbF7Jh03jarBNkm99hdC9g9i3TvGrL3YxMOfHDA6k1ZDY68KZmgUP5PF2UbykGyKRYIoqmaP65JoXnGC4DxVSuxBEZRyVwFsr1wJP+LhklagrMFcX5fvDOXeJnKqmAqj5P1JCy4FsHP5u2sWqyuyuDdbS22C9EcXNUaqvJkJdrKmK0mBFMxdDWprX3GvIJiVxeVC0A2M7kumDpMJnE8LtSkS5GYpcYSIu1iTftkVraiPT5NaXzibtmm0eg0J97MiPqWaFCgc8/yZwqWPlcwW9KMr8pZuKdg998cf8iuws/3AYf3oZpN3KnTqDiWfUEQyKRrOcWnul0ZjuhP0KfW5XsfyiCI2h7g4wi1NUQliQCqQsw5v+G5P/vI+6oLoJ5w7tyTMH13odXb3/52fuEXfoHpdPp0L+WcOu/23Cte8Qr+8i//kmuvvZbv//7v50d+5Ef4kz/5E2688cbaAPNLqS625h65KpF33X7zDtPrifao0jc9NGtux/2UMfO/g1DOLNO0ZIJKYXVRCBgpx4+JQgFpxoilQF7ITjUVWwCmM2GRqly5JMZnObrbhlYLtbSIO36yfvz6uWiZsFONRDLqorAWm3tb6okm0/ljZzmYcoqvEpuW7JPPctSuZWGolEIvLUgky1ZfznYrGwTrII7FxykvULOSpWo2JAg4s4QbY1wjlik87zHTQmwLkkCy70IjrbtA127iKhc3cYwiGGX40OCNHPRsEoACMylI94jA3geKwkjLTZe5di5SAo60Ipw4nBHzRFNm49lEwnyj7ZysF6C0onlqxmRfg+SsIZg6oq2s9JaSyT9XMlTJespkb4JCYWONmYkw3AUyCWZjafVV/lKqtF1INktPosrxIZWfpc9lBKOc7aua2FhhtWLzmjYr/7gBxhDefRK7sUVyySGau1cZNpU4OZg5SxX1y9BeLQComowLR6WIvJDfeUPWmGx50gVVA71g6gmnntmiJpiW97FAPrdNkFagZXg4wRkl4cAl42Xj8rECAV4ukt/hoNR7mbkvlfKiuSraUDTEbqBi2QC2rozYdYuYVCbrKcHGiMnuFdlWKn5fSgOq1HuVrWOdWqIB2Eje28pfyyaG9rEps10x4aCQqc9rr8JsjmEwhMUe4bD87EcBNgkIhzneaLauSug8kKOtp3HWsfuf34p3nkcN2lIaf/QEanUXKomh18Fv9+U65+rJWba2UVkTv7KAqnLnskyeS5bL4IUq2/xxLN/XOEKNZo/2yE97Ceh5otNzT9Jivsj1SAkjAG94wxv4oz/6I1ZXVzly5AhheG6X4ekaOjtv0PR7v/d7tYr9TW96E8vLy3z84x/nda97HT/4gz/4pC/wYl2Y5YtzvU9UEIpJ5E6g9BDNUmVHoBsN3CytHcGr1ppuNPBVW6so5kzOjmk5nGiM3HgiO9YKyHiPGw7RB/ZBf4gdT0SI7Z1Mz2klO/mdDJjydbyLMEyioSKJhY0qxaR+53PK8rmAvNJEFUV5W8nHcifXUJcdggdPi/i70lcs9vDrG5J9V3lBbQ1lh15poWYpOjD4OMBHgfg8hSXAK5yIhLNCfGqUqrli0QqVZ+zWw6zAVzl2aYF81T0u1BTtUETf3uOtomgZzMzVbFIwcfNpJy0MiYAoyjgWTTR0dVSLyRy2YaQFlxiCiWO6OyHZyEgXQpqnprjIYBND0Q7FEdyAjXU51SeMVeUfVR07TCZtv3DmUdYRDSxZ19QC5tmiIV0MGByR9lM4FsG4C2B8+SKt+/rSyrnuy9g+0hTgMZG3WGclaPAiPu/dOyPcnLD5giWxHRhLezLessxWArK2Es/TLYmNibfnk30uUEx2yQi9LjzhWMBS9TzCiYjn8Z728ZSN5yQsfs4x3quFpSr1VsSiAyzKCTzbgMqUM10SZkoVAraCEShbmpDGyIDATG4/W46I+tIWTvf1aJ5OJdR5IJEqXilhnUrAbWMjOrhpgU4VJ17RYv8NU8b7Y0zqKVqhaM2ObZIdWKSIDTbuEgF+bZ1wbR171WFU4YjPjMWZ3kPvvoywn3Ls1R2Wb3fntuwfUkorVBjQf+1zWPjoA6JpGk+EMe7+/9n78yjZsrO8E/7tvc8Uc0TON/POtybVXKUSaEITtAbUCGM3nxsjC4MtzLBwg4Vo3MCyjIVbC5AAfbRbq8ED/XnA7raRsTFIQlIhlVQaalbNdecx54w54kx7f3+8JyLvrUl1SyVVIepd666bGRnnxImTkfs853mf93lquxO2Sk3b5Ko/EsZ2HEsr3fOgWcfttGWIJAphwhQHgYjJX66XXD1Th+pHfuRHuPvuu3n3u9/N4uLiM4Krb3VddmDvX+Z6PuGLLzNNz60u9mqa2g88Obx5Ep1ysX/TRIsE04Be5fu7HkkgLNAkyiGOd00tldrNlQPRPAB2NJYpOwDrJJJlNBIx+Wh0qS1C0RYky4qEd5nasf0BOiqy7vJc2m0Xv5WJv9REFJtfZObZasgxDUfY5QX0TlcWda0lQNg5GMfCXs00i3Fq2Z+drQvrZNSujYItTDFBQFMBiFQqYnSn9dSNXOVFu1BrAVsFMyV6pALkFXomnVpsYMiqHjq2eINUfla4mE+cyK2v8QYpepiinGNwsEa4k5JHApqcgnBtyPBgDW+Yk9QMpXVpL3qDlPFCRLgVkzQDnIbS2pis7JM0PTG7HNoinkVP234TxktZR/XkCOdrBishcU0XoGtih7DbKow2M/p7fWpnUmyg8IY5nUMS91TayukvG7Jo4jsl/wd9S1KRHL6wYwm3U3SSk8zIdt5AAGr3UCTGncVEonIwmlOiYSrW8mDgJJzYl6m/0npK50iAKvypvLEALhsoxjMClNJaAYCsMEz+oDDzLDHNa5v4YulE2nMTlkzsAmDpK2PGMz69/UbaeB6EbSu5c7klq3hyTO0UnVh0nGIj2akrBg1saDCjjMFKidrRLs439A9WKZ8b0b66THk9o/zwqkQYRb585iIP9cAT6GqF/PCyaOTKHu0rQoKeo/4f73pua8fkxkUrdLnM6JWHWH1NwKE/OIfb3Nr1XZqsMUpJKkC9iquUUZvbTMws2288SP2RLi406FFKXosYLoXU7zwFvoeda/CJuz7wnI4LvnWBvVf8//4Rphx9/Q2epfLhmKN/+39/yQT2TipJEk6cOMGRI0fwvKfyNHfccQevetWrLolmA6hUKnziE5/g9a9//bfqUJ9TPS+fpna7zVe+8pWn9U54z3ve84Ic2Mv1l6suBkja98TpG3Y1TU+ZnisARmZ3o1bKZQEKEzAEuzqjRLLkVBhKKy5OIAymZpUuzVBBQN7pYloN8u0d2Z9z2OFQ9kG6C5gKBuxiFksFPkprXJKI+HT6hvRulASg6lU5xv5w9zlGoybGmt3eVPOkz66JzqpSuaSNR56LB1U2cSsPIM/FKNMvxrB0AWD6AvgYjnBzTZi05QomTuU5amRRgzG2VkYpabepYYIr+WKimea4ixLCJ8DDBhozzjGjvGjRWdQgQSUZLgrQSY4ZZ2IgWLyn0qowR04rvKG4TY/3VDAjGW/3+yJKV86RVX38fjbV6ogfk7yuLoTJefG1N7KkFfGDCno5fi+ldyBitCciDxTWSItQJuomGp8iPy4T5qh+MkFnFp2JoefsAz3GCyXGLUO04xgWnkvOA6/rihgWYajCnZSsbMhbfmG9oNGxZrjXJ4sU1Qvyuws3Y2xosF40BUJyfHI8cShu2UktwBs6mQZsasYtNdUpSSsM5h6wDBY1Qd8xmpF95NGuFsqGMMnmwyItxFAYr9JWTlLVDPYEKAu10/l0IjEPxXfLJOD3s93z7Rx5JZiCZqekPZLUPQKgfH5MXg5Q1lJaGzNaivBisa3AOdKlOiqzqNSSNEOC667AFZ+N8XxE+4iHN+I5AyYAvTAvkS3W4fKc7qGAxlHHhe9dYc8nNO7sBVQgf+t634o4Wk5LuAABAABJREFUkhd5cyrebcdjDP7AoscJ/YOzVO9fxev00XPLYC12tk5eCZ7zcX0rqyA9v+F9vJRqOBzyMz/zM/zBH/wBAI8//jiHDx/mZ37mZ1hZWeEXf/EXAZ4RFO3bt+8lBf4mddmg6b/+1//KD//wD9Pv96nX65dQZkqpbyvQ9DLL9NxramQJ6OU92FOF2NNdCqqnWiKlhdEZjXcZqCCQVljRGpt8zUTbZPRuzEkxRaeiCDyD3b6ArlYlEqXbx8y0oFLBrq2LVmkcQ253GbDptF8hjs1zXJqho1COI0kEqFwkRJ8ef1ZM60wA3aQ9VzBWU1F4lu16xQwGU3dxfF/2EYW4Whk1jKV1MBqLw3kpkNZDmqEqZWkxVDTUq+I6nhUu4kHB9HietOnCQFpu3uQiIpN3KhOdk45T0ThhUFlOXgtkai61qNzijMEGBm+U4gKPrOJjYgkVNh0r7UAcehDjTAm/k0xDibOZAH9giU72ZMLOIvvPHKY3wkUBpdWcrBKQlzxMnOM8CR4OOglZyeCnFm8o7b+4ZRjNe5i40Dz5oiFStmBsPC0j9LpoWWVu2rorn0/IQwF1WSUgWh/hTLmY6Cp0SwmYsThZ61TJtF9VgomDXob1NOMZhcoNlXNJ4XLt8EZ5kSuYUj+pxSU9F7G0ji29fQEmdiQ1sSKIdnJp4flqN/tOyf9BD0ZzGp3DaFYc2JOmvKe0AigRrE88qKIdJ1N8ZTlelVqCPgznDGHX4g0tWVnj9y2eFhNUb5AIwCbA+hoNMmCQWpwnk3ZWiemoHhdealaMUbuHSzQf7ZOXfLzuGFevYAONiwx+J54+d+fWWWY++QTl+7pUlxbIz69d1tpht7anNh0ujln4whbrr51l9sERbqeNXlnCXlgTzdPmNnrvMvbUGVTgY3t91BUHUFsd8pVZ0Vf1h5TPRtKm8zyq95xjeOsBorWhMLEvwfp2dAT/R//oH3H//fdz++238/a3v336+Pd8z/fwgQ98YAqanqk+/OEP8wu/8At87GMf4+DBg9/ko33uddnTc+973/v4sR/7Mfr9Pu12m52dnem/b1efppdL6pK22pPqYo1TdvJU8eCTAJPnM8mhU74nok52WSoXxyj1JFuBAnSoRm3XCmDCAjknE23FpJwbx6hyCT3TFBC0uSXgazAScblWu4AGCl2Tmi7YSitckoiH04QRKkCBqlZE4D1pvQGTiJZp28Da3f1dHCLsiukekOdMAJfSqFEiYtc4gdkWdmkGNU6lVVmrCJAKQ1wllOMoABNGjC7VIEbHqeicUrESUGku7uVOGAKVC9BBKUxnJKaARk9H0L1eLEBgmOJ1xqhhjMosXieW5xUGn64cFJqqghlMBUCozBFtJqjUkjUibOST14Lp+XGhD9aSFXf5zpNgWB3L1FxWMnjjXATnhQBcp1A/Npxm4+GEzTGxaIlMIjYFYjwp8S2l9YRwuwDumRPR+0hc0qt3n6V6ekC0lYmw2xMtVtDLpjoqEZjnZCVD3DSijwoUWVU+M343FZbFOrKGsHA6FcYuCzV5yVA9lxJ23FREPlj0GM2ZQljuxLwzFtCkU7mAx00K528Kd/bCe8rt+j+VthwmhcqFhLBrCXdymV6MLZULKSp3jOa8qR4t3E4w4wwbGAmxzeV3KD5dwg5aT6PjnM7hkKCdoO56mLTuozJLWvOJdnK2bqgBcOGNTQZHmnhFjttE8I1zNB/uMLrlICj9zIDpSUMhk+lV0TUWQxfFZKs7foaF//AQa99RIrvuIG5rR1jbagXVqOHWN3E3Xj01vB3vqZIcWSRphjijSK5Yks/lhEXOc8p3nZAsyb86apQXvT7+8Y/zu7/7u7z+9a+/hFy57rrrOHbs2Nfd/t3vfjef/exnOXLkCLVajZmZmUv+vVh12UzTuXPn+Af/4B9QLpe/Gcfzcr2E6ykapWeoXe2Bnob0Kq12majCi2miU9KR9LJVpTw1jXST0f2JtmlQCDrLJeiIeHo6HWOlxaerFZleC4pjMPbSKTiYskaTibmJFml67EGACgJZkMfx1P7ADYcwHIr4uwgSnmiwXJKKhmqyIF/MNE3YpSInT4CElseGhct5qykM2miM3tiGRg0qxYRdkamnJvlaF9scBL7sI/RBG5xfBJkGHi6UttzEpsB5nmhXygG6M0SVQ7SncUZafSqzheO4lfaglce8nW5hHCrtGVsJMdlIegHWiq8UCINV8tGjHJ3kheZIC2uhheXyhimmPSRZrKFTSx55OE+AUnC0zfjgDNYo/IFEgIznQwEWzonxn5X2nh4KcFLWTXVNpfUEf2eEGsZkczVx7g4mxqBAGKBHKSoPqZ2OSRoCYnNf4w2lregNLV43FifzsZFjDDV+PyOp+9jIoMf51KtKp1by8wpBvITIioO6zlzRkhR907ilyMoyaZcVPlOlddFlRZswmhc906Q9N3FJ15mEBQddabHlgRynTixpzWBiR3/Fo7RlibYznCdTb1R9wu0xOE1eD3EKgtPbpHtbOE/LhJuW42s9MiRtBJT2rxB0EtrX1sFB9WzM7PqY8ULE3P0xeaincTt+Jy70c8Iojmc9oiIHcTr0YXcHLVzOU26iQIDSRIs4ad9r38ONRuz7f87IZ+7IXlScklcjzDkZpDDrO7iipR3e/jW49jDeICWrBdhA098XMrPZxG1tk165h+CRM6jeEGMMb/nuD/GZTz87y/Etr2/D/tzGxgYLCwtPeXwwGDwnUfdv//ZvfxOO6huvywZNb3vb27jrrrtekqZTL9e3ri5ux+0+KEaVE02Rs24XMFk3bcNNp9XyRMTTgS+TcNaKZUBWWAZ4nkz6TDQ/TvZxcUCvi+Op2BvA9SWPTcb6cxGAT8KBCwA2tQ54kgmnmZ0h326jwhDTqJO32ygXTsXqlwAmmLoiT0Xnk9ewuw7eE5NLl2UC4IwRE83J8fX66GkEjIKZpmzbGwjTVMSk4HvSwpvovXKLGsXCumW56JyshYGIf10pRI9iRitLxI0qtWNdVHeM6g9wM01s6GN6I2wUkNcKYKilxW7rEXoQo5zF1StQuH5LmwdxIj+7Sb48I6LczGJ9jRnlqNwWU1libzBhOMgsepjgAg+vn2Ajaf3ZXMBPvK9FsDEEyrKNhjz0Cn2SI9NQOZcQtzxsIMAKZHIt2pSAY1vyMUkmzNvA0jvQwh+IBYJtlHFaE2zHpK0Qb1Cwi86hMmnT+Z0Y58uUn07EGNPvC2PoDQtW1NeMZ2QCUGXC0mEdKhfwmUceQS8nK2sBT4kjbmgJDB6Ksac3UgQdYY5sDjjwh9KeMwnoi7yalBWNUlrxiyk7YdjS2uRrS7Q9mXoUo0lvaAsdk5lqy+KWjw3m5T0X3lpeV97vcG8FM7aky83i+C2b1xvGMxEmEefylb8Yg/bJKr7kB4YeunAeN72E5n1D+dsCdLkkzG4co2daoifabu/qGd3u0IQKAtTSAufeucSej90DzsqknLPkZ8+Ll1vBrpp2H6KQbLGBvvexqSAcF4PW5GWfPBCQO5oL6Nw0T7TVJDy2Bs0Go8MzlB44Q3ag9vwWvW9mvRAxKC+x9txtt93Gn/zJn/AzP/MzwK61wO///u/zmte85utu/yM/8iPf1ON7vnXZoOmd73wn73//+3n44Ye54YYbnuKd8K53vesFO7gXs/5K65kuNqR8uh8bcylgujg6JUvJdwpvFWenGW/Tqbni8UnpanUKSi5mgyYtOtfroRbmC7ZpIBEJgUzXuTgRoFVoiibtPhX4wkIpvevZ5HtyHFGIUiUBZ8agS5JP57IU2+tjlhdhHEsWHWD7fTHZi0LxcMJMBdFTJkgpaa9NbBK03o1ScQ4XJ6gwkMfTgpWKE4hCsSbY7hbMUSjREL2BgETrpl44jJNCXzURyhcar3GMK5cKYJLLxN7CDHqzzei6ZdH4nO4VQETjFmclGDjJYDBieM0s5dM9YZyssE16WIhrkxiVG1ypEM/muUSmjFJco4IeZyIadjJpB2DW2thmTcTnw1QEABN2b1x8ZjKL8jROa3Efn3hUafC7MTb0SJr+1JncxA6/b4lnJEvNpQJG0qqhfG6Eco7hnhImdURJRtaIULkj6Iuw3BlFUqsRbcnrW1OE5uoic8868YsKvaJdmU51VzbQmFGGyWT60BlF0JUpRZ3aKbuoYzGENHEOqnDqNgZv7CSWxlMkNWkvqhy8WD4bFB5VU9NMV8TJqElUiwA6awRc6kzAkUnEP0tAQo71FWnNwxvk5GVhcPOKj8ocF14bsf+/7ZDMCyBNax5B23L6e1vs/WwfnMMbTNqalmAnZ88XNWffHOL3INyB899VZe5r0t5S1klkTz3E78Zk9RJp3aN88ozoAbNMbmYmTt0TNncyfIHcJLg0k2nWYydRbonVv38ri//8q6jrrsQ9+Nju+lKKZD+jMZRLDJYj6g8FYt0RhrhTQzZurZM0oHksx2lFed2RViTKx9UrxHtqlB44I6xt9hKjZL5N65/9s3/GO97xDh5++GGyLON3fud3ePjhh/niF7/IX/zFX7zYh/e867JB03vf+14AfvVXf/UpP1NKkT/HFs7L9RKtiyNPJjUBOdMJuPwpz386DxZljIwjd7qiZyqm6HSzjpuEa0ahiLQn7FOWoYOAfGsbXa1Kq2x9A728pwAS4tFiOz30/Cx2e2fqpyQGPEqYnGZDBKYUjJUtFuw0w/meLOoTtinPJRw0jsnPFZM6F7/HOJYIl8lIrC24dK3Et2kiXvfE5du1aqjt7lTXpAJfFv7hSMCf5xWTdDmqNxJ2bN8SKs4kdDTPcf0BqlwiP7CI2R6I7mnfkoCddtEy8wwEgZj5+d60rTZerlAqcsF0Dnq7J5NDc1VMe4TZbGP3zDJ+xR50bFHjDOUXLT8lINBGHtqGqFECaXEufLE1cMag4gzngxnEheWBgLl036xofYrQYT2Jg/E0thygxgLI9Cglr8j5dFp+b1klmAq+o7URecknrXsE7RTn+Xg7KVnJkAea8u0PYW65ovh8igVAHij6h2rCLPlF+04V+XBj0XdJ9pqV1lpasFWBnrIuMo0oeiid5OgYrG+Ktqi8XFYxlM/05aWLSUbniS2D9Q3K03hJRimd/N0o0oom6In3VLRj8fs5gyWPoGuJm6JP88YCxlUuQnKTir9T0M7JS5IPJ+8LcXJPwHpazlEnxXq6ADQWGxmxR3DQfNxy4Y0t0grEM468bKmckuzGeC6itDriwutqVC/I8e5crVm6M+HQH7U58Tea+EW2nc7s1DEeC9Hjqwyv2yPTkbnj3E/fwt7ffxjlF+awxd8unid5j4Ph9O/q3M/exsqHv8yZf/SdlC9IPE5prdAVPvTERUuPw55fRe9fId0/h39mi8ZfHMUZzfjqJaLH19DNBgv/8SHsNQdQaU73qtp0gKBzJCCtNqnfcRy7Mg9aE61dNPX6EqkXwtH7pSbXev3rX899993Hhz70IW644QY++clPcuutt3LnnXdyww03vNiH97zrskHTky0GXq5vo3qaXLinc/V+2rroZxezULbXQ5ciYWWK9pbt9orXU8KUJIlMq3meaIi0QjfquP4APT+HGsfi15Ln6FoV2+uD0diNLdExxTFuHE/Bz3RiTUk4L54ngCXPBSzFsQQEhx620xVTzTTbdTm/qKU4YcjsaIQJxfQSXbBJtaronoosLJem4gV14ixqplVojiQCwPX6ol3qD7B7ZlGjVCIful15vDecGvS50Vj8m+JExsyVEpuDwVhCSz0P16oJc1QYXOaVAP/sDr3XHhIdUJ7jxY7ofJ98sYnZ7GEXG6Bh860HiXYslaM7qDgjWWkSHFvDzdTpXFXF+oqZr24xOtyk/NimHH/ggadRibTOOrcsUF6NMYOE1dc2MAm0Hh2J1qYREqwPcZFHFvqYYSLWCcNEmKfMinHnKMWWfPl9DxJsEEl8iqfIaoEI3bNiUs46kqawj0EnI7ntKtK6J221bkrleId4qSoTbv2UtB6QlfRUW6Ss7FelFjPOpk7jMunnRJNVWDOgFGYgx4yTyTIKGwc9tJSSXFqWnkalObYUSEvUEzCIKj57qRUdUmionB1iA8N4PiToZKQ1Q+vRAUkzpHxhTDwXkpY15dWYtOZhUkMWFpOCgRJNkxE9kTcomLDxhAnLp9OEyjrCtT7JXIX+Xp/Z+3psvyKQqJixBACjNYMDOeGmYeNGD+vXqJ51bF2vqZ6eTBdabOiz75Mj0rpPdNcI5xnGcwH+QAKis+VZEYMjgDVpMg3YJcvQhw/AwpXw4BO4LMMcOcDoYIs8VFTPO9I334Lfk+ibaEO2d9ZhZprkWxcNFSkFcYq/2oUsp/uGK6h8/KtED56ViVLncJ2eRL8slVAZRZi0iO/jpsbNthjuq1K9+yxEIW+/4Zf4s6/92nNcGL/59e04PQdw5MgRfu/3fu/FPowXtC57eu7l+vataR6bfHMpw/TksN1JXZwnV/xch5EwSuUyZqaFHQ6nkSsuzaYTZlOd0VQjZFBKT6NLVKmE63Sxw6E4iJci0UoUNgQq8LH9gWTSZRm6VLSpkpT8wqqAnf5AmJyJuLyYAJyI1SctQ+V7u2DrSefD5Tmm2cSORlMNFa0Gbm2DbO8cNOvFJF8sbatqBVerSHyDKpgvY4QhynL0VhfV6Unkw6S9PRyJg3Gh8WIc42Yb6Dglm68Jy5Zlcg5nG7su4YUJphkk5IsNnIKkJgLocHPMaKUqu796nt7BEuuvnaO8lolY2BjwDHHLZ3jTCjs3NKkfG1BeTWnfPEN0ti+ALUlR1jJaLpM1IpxvKK/GOAWbtzbY8xfbOAMbt5bYvLlCVtK0b2iAE7sBnNuNiQERjI8TdG/3jt+W/UIM6zAT/ZARsb5OcxkXv4jNzKqiOxITTM14T3XqaD7xkFIOgq6M/E9cxE1sycqeiKA9LaaOw0y0cxfdEDqjdqfOcidhyGc2sEFhKqqZmosCMr2YiOnoJAZHj1PMKMPvJrvPs7LvaDPBGWnnqdwSbsaUL8ToOBcQeD4m7FiCdoY/kMlCM84JOgL4/E6MSi1+N5GswDgn2BySlT3ipSqjRZ/GsZhkNmL+3qFEuyTgDDQeU5TPGcqrIjrfc2dCZS1n6csZaRlmHhEwmZc88shw/vUenSur5CXDcN7DelpYO18zngvJS6Izaxx1nPjbyxJ5pDT50ZOcfFeDtffeRudv3MrOrXPsXOmzcZNH54ji9Nt8ulfmtK9SmBjG88JCTXSF079D38eurcs3SUL9iyeFua5WRPtXitCNGv4jZ1BW2nLWoxgGUIRtS/+aFtWvnoZahf71C+T10lPXspfrBa3//t//O5/4xCee8vgnPvEJ/vRP//RFOKIXpp4T0/TRj36UH//xHyeKIj760Y8+63P/wT/4By/Igb2Y9VdVzzQBEU8bd/BsLNNFz5kYSqpiMi3f3plO0KHcNFtOaVWwM4Xbr1eAFq1Q2sd2eyjPE6BiHaZSnjqCuzwX5+5ItEa2P0CVImG1ahK5YGZacqGabeFOnd2NP7novZhqE5fn2P4As3cZ2h3ROj2plDFQq+I6XdE15TlKzaKiEO/CtngtUUzeDWLs3gVs4JHuq1M61ZZIh8Gg8JnyRNidZYUuyQjzlWaosNAlAURGPJkGQ7ztLnahid7Jya/aj7fRxZmSMCHFxTirhZhxRmk9Zjwf4nyDaQ8pj1JUp4+pLaAzQ/VCRtBOKJ0cyS1Tp0damWMcQOuRIXnkUTrVpnSssIGoRKhYGKH+kkcUFaLmkYy2m8Qx2l9n7r4Bepyyc32DuGmKO32Z5NPbPbKVWYnyGOyeX1eJ8C5sk+2ZQSeZsDVaLsYqc+CJI7f1DSpw9FY85u4fTH2o/F6C+tpR4tdfiw014eZIgFBgRKMzFOdzM5ZJM2cgj8T52vpG9EewG0WTWWm3pbmwXK6IHEkyqARkBxcxPZn0csbIhKBvJKZGa6xvxES0YKCcb6T1WTBW+JqgkxYROGDGKXoMKk5JZytT0D7xUCptJAXLBl6cYYbCaObVkDwM0Jloqryh/CyvBHiDFDNM2by+QdDRBDsJq6+uEG6JziptWvpakxyIMfeHHPivPUx/zOM/NsfiVxyLd49Imj7WKLw4wwY+B//bEJU5Tr2zQuU8DPZ4qNwjKynCrqV9RSD6q1RMOc+990ZsgLTwtmCwDMM9mtJq4UM1sWrLFTrRJLM5yd4c/1xA/wdeSfU/f1UE3sVNAiAt+TPnZX0IAsmTHAxxsw3yWoTX7mL3Lkq72YrFg/WlLZvUNGHXMrxpHyaWXMRJ2PVLppz6xoXcLzGm6Rd/8Rf50Ic+9JTHnXP84i/+Iu94xzuedrt/9a/+FW95y1s4cODAN/sQn1c9J9D0W7/1W/zwD/8wURTxW7/1W8/4PKXUtwVo+qtcz5gP9TQap0uiU4qyw+Huc4swXpelu2DKGMmXK4JClV/ojQoWya3M4R47jm42yDa20IXRpEszMXv0i+k3pYpwYGlFuYEsgrYI8LTdPrpexR0/PZ3QoxCjTo91NIIsw8y2cN3urqi3VkMFvojBncWmGe7seZRW2NRBkqDWNgTwjMVbKt/pwK3XiEB4q0d2YBYT2+ICetFilqbQqEugb5GZR56LUHySURcGEg9hiym0UR8XeNhGRUTYkY/KMpzxp3l0NjCkxRi9sqCGMcOr53GewhuWGewJpt5F3noXVwjY3WwDnTuiCzneiQukV60IcMsttlERwJCL/5RyMFzQNI4VMSX9nMZGTFr3RfSNeArVzkpcR1YN8HdG5EstdCECd77BXNjGzjfJSx6ec6jMktVCvF5MXhXDS506SCGreOSRRqc59ZNpoQ/yMIUI211/hKAdE89GxHMldO4wo5y8JAxSVg+Kabuc3C/MKK3BetJuM+MMFefYmkENBTTZwMMUvla27KNCeb7XSabWCyrPccaTiUCtUUmG8TQ29Kej+Cg1jbdxxogVQ9EWVMW5wDmcF+JvD0nmq5hhIq7VzhWu3eKuPjl3KrN47RHONyQzJcw4EwPSkifTdXHG6msbtJ7IuPAaX9p4I8jLDr+jwCqcB1f985Rj/1PAmbfXyMMaeTln52pD3CzRenSI9Q1pI0DHlnhWwnrz0NF+hWP2PkXtTMKZ7w7hlGbuaymjOW/62bOBwl+XCb3yeobOfOonUjZv8rG+tAnjWYeOFeXzCqcMzjPkEVT/6G5hgsslsflQWhhc61C+TK6q+VnwDG59E86N4er9pFcuY3oJ4dqQpFEXL68insekENc15bElfGIVO9vYZbdfIvViaJo+97nP8Ru/8RvcfffdXLhwgT/6oz/ir/21v3bR/hz/+B//Y37v936PdrvN6173Ov7P//P/5Morr3xO+3/iiSe49tprn/L4Nddcw9GjR59xu5/6qZ8iSRIOHDjAm9/85um/lZWVy3uD36R6Tu25EydOMDs7O/36mf4dP378m3qwL9e3qJ6m5faUx+EpgGna6tJq6sWk61XM4oJcKApBNvml+9GlEi5OsL0enDyHTbPp/mySiG9LnotWqgBdLknFZiDP0XOzwnI16hJnEoUCdiYJ6AC5xcw0L32bF7FPyhgBYUqTd7qiqSg8Z3QQyHRdmk21TvlOR1qFWS6veeNVOE9iYQCC8x38zT7JUk18pUBWtVKE295h6reUZRIqO3H5LkCV6vZFIF1saza6MkqfCauhcldkzeWo4sJpC48eZR3J/hlKJztUHtkk2BgStnMaD3con+rhAh/V7pI1S6hhTPPuDcpPbDK+YT/+Rl+0VL6HHheskLVkVR/rwfw9A4JuStw0hag6xRtmMrqf58w81MfvJnjdMV4/mV78s6qYXTqtsK06KsnwtobYKEAPYvztodgQDKX9ZHpjTD+W91LVjBYj8R0CMWLMHXnkEc9EpI0QMy4+T1badWaQySh/LyXYScgDmdQL2knB8ogQPJ4NSeeEtUvmyxJm7JxM4CWFWWiciwfUxB9rcsHNC+F2kklczcT2AaRtCuhxNo0/kd+XRJDoOGOSB6jHGelMGZ1ZbOBNBeeq+N/vxljfiMu5J5mCenWb6OQ2ZpBgNnv4Z3fEZLMaSFzMvCEvO8IdRVZxeANF2nBEm4rFr+ZsXV9l5S9yKucK0XuqSRqOnVc4uodLMhFZCOZHM5qk4bH8BYtOFNGOvMflL2QEPUdvn0/Qt+QBhU8V9PYrRnOKrWt9RnOwcYtPHk3ak2DGCuc50pqwT0kD1GR4NvCxm1tyA+fs1NJDhWLwas+vwnZbNJBK451ax4zkM5jXZJhADEIdeQC140O82JFWDAQ+ejAma5V54/f9Bn+VazAYcNNNN/F//B//x9P+/Nd//df56Ec/ysc+9jG+/OUvU6lUeNvb3sZ4PH5O+280Gk+LCY4ePUqlUnmaLaTa7TZ//ud/znve8x6OHj3Ke9/7Xvbv38/VV1/NT/zET/Af/sN/YG3t8lznX8h6XtlzL9dfoXqyrunix+DSdp7SRSvCTv2ZpszPOEbpZKpV0LUaLsuw/T6mXMKNUgEs/UHh89Te9VcqFk6XZsLKaC3yl0RAlN1po0olbLcvQvPBsGgDJijPn25r+wMBRxPwk+cCyNIU2+lOtU7CKGW7Gq+Jt5SzwC4wJM93faRyh7c9gK0dYSOiBi6UNsfEiBOAWOJZ3FBYLlWvia5pNBbx7ESXFYWiewoDEZE36nLBDDx0byxTglou9ONZD2/sZEKrm1M+2UV1B+RLLfKSR3C2TeWeNm6mLlNvoQeBj392R95bHOMqZcL1gYAErXCBQY1TlJJpxWCtT8sKo5WHmtKGaHXUVPcjY/gqlraUM0bsCToJRilsMxJvn0EiwEIpCXzNRR9kQx/THZG1yrSvjPAH0dS0snZiJBEwxqBy8UIyw1TAUioTXf7WABd40xbbeL5E9LmHyG67Gp05Suf65OUA52uCtkz82ciI5UAxSTeNnym8m5xvMINEjrF4nNyJ8N86lM7F7dzT4jZtBNRM2D89LLRMGlQsdg1qnEEBfFQiU2d5NZQ4Gwt52cOMM+JmCW8k7JgrPof+1kDagOVd+wp0WaYmPYd/bodsoUFaUXQPgd+F/X+0yXh/gwuv9bG+o3oGtq82pDXoXOFJFmDxtusnFHkAzcf6JI0Ak1jGsz7106KbUplj3ycLnzIL0eqQ3kqdwQoEPYU/EpCiumBihQ0K5/W4eA0rzufOk7xAM1JFy1SmH7OS/E0q/F1z3HJZkgL0rnM/WSbxKcagKmXsYgs1TsjrJcbzhXO+VSQ1TXkzJ2kFhNsZadXQvXmR2tEuadWbvu+XRL0I5pbveMc7nrFF5pzjt3/7t/nlX/5lvv/7vx+A//v//r9ZXFzk4x//OP/z//w/f939f//3fz8/+7M/yx/90R9x5MgRQADT+973vme1JgrDcMoufeADH2A8HnPnnXfy2c9+lttvv50/+IM/IE1TsotTF76F9ZxA0z/8h//wOe/wIx/5yPM+mJfrxa0JAHq6tpuplKdGka4Y00dpGc8fx8LGXMTaqEBaaKowoNS+J8LuNBX90XC4G7JbtMFQGm/PotyB553d4wp8mZprdyVMd24Wt7Uj9L0nTtxToJRmBSMmr63nZ3HtjngtVcrkq2syEReGEMcCjrrF+Hieoytl8m4PHYW4NMObE6NOYOo5Jcck9gK2P4D6PsyZDRF+F1otG/ro7T7RyfPQasrUW6sB221xBt+/B7XVEVDU7shFuFqT914KiiiVnHxrB7O/aJmpQNplQLJUJzjfwev71LdH9A9WJXZkowfDEd1X7wegvBrTvm0BCv1R5fQAvdMXEDgYiMN6IJYAeSXAu9CWk26Ri3IQCJitRYTnO2QtuUP0umMxlIzE5DCdE8H5eC6g9nibiZeViyRCxevEU6ZGxRm2FmEDDxto/LZjsL+MN4yI1oc0Hy8YmGRCPch0oMolANjrSZxJeL4rbcvIJ69Gu3qiRHRb7tojmDiXibbC4RwFecm/ZJLu4nxBp5j6VKWtkrQ0S6BHyS4IKtpusoHbPV/KopInGZsaIxom38j3EwF5ZgU8KYUep8IwKfD6EokTbmp0kuEV4CqvhjIt6Wl0fyyMZSA/c578fry1DjrNmX1gwMLnR7jAY/XNcxIQvAPlC5rKakLY0ay9yqN8ATrX5Mzea6idzejt86lcyOkeLlNeFWAYbaU4T2FGGaOFUMJ7DZx+e4BtKXTb0npQk5YlWy8LpY1rPRGeZ5EAprAN/tDRvkKRa/DGiqxq0SOZ+sMJmFJaEX/XdQSfvk9+9eUSdjQuIo6EGTazLWy3Jz5P7S7aOWynh9eokR84cknrLQ80lbUB/QMVqqeHDFZKIsRfHZDOvHTE4C/k9Fy3273k8TAMCS8S1j+XOnHiBKurq3zP93zP9LFGo8F3fud3cueddz4n0PTrv/7rvP3tb+eaa65h7969AJw9e5bv+q7v4jd/8zef87FordFao5SSMHLn2L9//2W9nxeynhNouvfeey/5/p577iHLMq6++mpA0ouNMbzyla984Y/wW1x/5UTgBXt0cRbUU+JSlMYWI/2XaJ4mgbrOYuPx9Lm6VJGFzvfI+wMJ0R3HKDvEzLbIN7dE4wQivFYa3ahjO11ct0fe70+Py8zPYre2yQu63r3uRvRjZyXE8+x5mawZDKU9V63LtFzOLlPkebKI7luC9W3Mwjz5xpbcvXo+ZOmlLcckmbqB6yAg3+mgq1Vcmk5jWvJOFzuO8aoVjFeH9cKcslETrVKljG73RIM105Id+z7sdOTC1+tLCzHLsHNNVGGk6WpyTtR2VzQbCzPo4QhXLQkzEaeonR54RpiV9U280RhXq1C/6xzJwXkG18wBTP2O+vsi8kDRfKxg/AJDvtLCP7NNvr2DCQJcuSRO3Ru93egXEG8pgCzH9Mb0XjFL+fwQM7BgIW2VhPkpeQwXfDGJTBBn7o7obijcvfXqJm5hRhyoDzZIK7tht37Tp3qsR9YUIKVyJxqoyQSbc8Ukl0ewPRZh+ChFJSl5rYS3PZBWJgiLZZ3wgROAVpcxdNMbkTdKeL2MtBXh9UU/pEcZyloJN3aOvBqhrBUx+eTxcVbEzIhAnNyJGejE2ynLIYNJiDO6YK7yIpg43f2bckqJyDyzKCMgW6fCWoq435fvCxuE4cEa0UZMvFhFJzn+jsV5CDBTSs53d8T48Jw4l1vH6ECD3gGfsOsYzitmH0rwuylZ1adzaDI9CAf+m6W336Cso7SVY9LdfLqkGRQhyIDz8EbiNJ40fQ7+cUJeNgwWFOVNsUMYLkhg8oQZcxphP7QEEOcFoFJWkczkUM5x2kOlCh0XgcbGEH3p8ek+cG53/Shwqm0LKND7lrHnLuCGI9FELs0RbmcM9vj4QydhyBmY7pjGV9qQ5USlJdJmSawlXmr1Avks7du375Lv//E//sd84AMfuKx9rK6uArC4uHjJ44uLi9Offb1qNBp88Ytf5FOf+hT3338/pVKJG2+8kTe84Q3Pul2SJHzpS1/i9ttv5zOf+Qxf/vKXOXDgAG94wxt473vfy7/5N//mKe/xW1nPCTR99rOfnX79kY98hFqtxh/8wR/QaskFYWdnhx/90R/lu77ru745R/lyfdNrmhf1NOakF+fGPblskkyn40y1Sj4YClDyPWGFCmdrpaXtk29uMYlCmQblBv4lfkmT19TVCrbdkVafMbLPO7+G9Xzc9g5mbha70xZWKM/FmqBoC06r15fIkk6ffHMLddM1sL4h4K9gy3AWM9OSSb/FBezaOjqM0EvzU8aETk/AREEJ6yAg29zG1GuonrQFKawNGAzFrTzLJE8vka9tu4M+fEAuuoUjuIs8dBiA75PVIryTa2JsWYrkBvzA8pQ9wTmolrGVUPLi5mdJ9jYJzrYhzQhOb+PNVMnqIWllIvyWlktW9sXZuj2Stl8pwuxZKoBFAhfWBfRddO6cp1FxMeWXO8zY0rmySu30mO61VUobGdaXQFqnFJX1nNxXbF9XpbIaEbQTukfKBD1L2CrjdcY4I6Lq0maKGWYiIPc0tuzjtcdyPvqxCKd7SWGImeGluUxQVULxPlquEZzviXC6UUL34gL4BKg8x5YDTGcERqMH8XTS0HkG3YvxtNgyTP2YcofKJeola0SoMej+WFp0aS5gzKnCiuCi85Pmu95duRWQCIXHlEwDqkmO4sR2AESXZi0OLQAKK49bNWWqVJrjQgnhHc9JC6+8MZRW5tYm1KvEe+psvyJkz6eGRMc32XjjHlAwe1+XcMdw/ruqLH1pKMHFpaL1NxPgDYUNCrfHBO1EcvUyPY2Uyao+vX0S3VI9l059rVRWOJGHcs4mv3OTivO5xL6IGBwL/lB8n8QcE7w+pA1hmNRQkzUylNaU1g1pZbdtr5sNYZZG46mbuMsKrzejRQu4IYHcqhRBvYb1DaVHV8nKK8RNjcoly480o3frMrWvniU4vS2fo9k6/lrvea2VL/U6c+YM9Xp9+v3lskwvZCmleOtb38pb3/rW57xNo9FgYWGB7/u+7+Onf/qn+cM//EOWlpa+iUd5eXXZmqYPf/jDfPKTn5wCJoBWq8UHP/hB3vrWt/K+973vBT3Al+tbUAXT4p7h5usSIDUxvQRMo0He6Uxz5fIidXwycQbIBF3R9tOlQAAEwuioMJQLRZZhDh0gP3FqymTpWk2cxCe+SmEoGqbieFQYSquvEIeqIg5FB4GMJVuHPriX/NgpzP4V7LlVzBWHcMfO4kB0UzsddClCt5rg+2JeWZSuV3Htrky1lctiLqkUKpXbXVu8j0ncy7QlkOXFBXQSNFw4fC/MCDjqDcDzsJvb6PlZzNlNiELsTA3v9Ab4hcFnqwFZTu/qFvUvnSbbN4+3M5heqJO5Cr5vSBo+Xq88zeca76mgY0vzq6swjkmu2kMWhQTrPXH3Bsm0y634Qk0u0MbssnJZLszJJGcvSSCSWBN/YBnPBlgPBkuipfJGjuqZEVnFJ9yIGbcqJHVDf6VC9VxK6VyfSf5cPuNTPdYREGiLkSHPQOZPbRJcKF/nfmlXTwRkMxVMN8YfZ9O2mBqMMYknrVHfE3Yqc9JKy61MGhYWAhN7AFsJMe0Bg1cIKxduxOhxPNUY+RtFu7bQHqGUtL92hqLfgimImmiWLvkMGC3n1zqUcjhUsV1hpqnUVFAuU3gTCgXQE9AlbJ7KLX4vxe86TG+MLQckrYgwb+F8g9+NmfvabkvQeorRAlQulOke9CmvFa3OQcx4oYRJLPs/MeTU95Y5+J826F47Q3/ZMPtQjN/NWL8lonbWgoOZh4fEMwF+P5PsOt8wXPIJOxYbCJOZ+4o8KhzP+5bufoNJINwRU06nISuL9UBSg7Ar59UbCpBKxz5mLF+XNhGGdTTC9vtPvxhdVC5JUEf2Y4+fQXseWimZ1Mwlqsb64O043E6bPFyUdrO18nlTivat81/3Nb5V9UK25+r1+iWg6fnUBKSsra2xZ8+e6eNra2vcfPPNz3k/n/70p/n0pz/N+vr6U4yx/+W//JdPu81NN93Evffey+c+97lpa+5Nb3rTdBjtudStt976nJ8LAu7++I//+DlN6F02aOp2u2xsbDzl8Y2NDXq9b0/k/m1dz+K/NPVXurgmgmilyTudaQ6dDgJpn2Ui6PYW5nCDofgsFYJr4BLdk4tjdLVK3u3B6bNTnyhdqsqCaIzomUxE3utJSy8vpmkKI0wKlok0E6DTH6CCkkSQHDuFjkKSfTMEgFvblNcClOfhzbQEsGxsyp1tlqHKZVyake90JIduMMJtbqEqZcmQK0V4+1fkdT1N9vBRYZvCIp+taM+4qw6gT16AIMBVI1SnLy06z0GnJ2CrUoKdDm4wxC02ca0aeb2Et96FwQgqJer3r+OaVUZLEV7dJysbSqtj8kgTnuhR3enDOJ5esMv3n4MkwWUZ2XUHCU5vM3PSQVhYLvi++EQl4vkzDRTOJXyVcSxO5s7JlF2a4+oVbMknLxtMbBksebQeGTKeD9GpAAGd5KjII694tB4bigC9owjaCaPlKtH6EJ1Ia2fnmhlhFVJYuqMtrJm1qFEmgMkozHaPfK4mI/KBCMb99R7d6+corcfsXFVi4S9W5RhHMa4Uoqxl9fUN0go0TlgaXxNX6Uk7jHGKGiXYWoSLBODtXFsmWrOM99UJOglmo4sLAwFChR5JDUaMXjGPt9mXGJ5SiK1Lvp3ujkArjv/QAns/OyY43xGwVgoEpDonbJ1WU7brYtaJybFluwwVSk2d3inMMHWck9ciVGoJ1wfyewk8xkslogsD8pkKZ99SY+GehPKmYedqn8UvD1C5xQaGbKbCcNGjtJUTrPY48gc9MQ7NHHMPjPAGKRdeXyfsOPxBjt9LGC9EJDWDThyrr/bQiZhhrnxehPImzovfv0dSkWGJyqqlt08TZOLIPZ5FqDUFYUeATGldWoMoMBvSxtM5LPx/v0QG01DvadD3k9Yol6SY+VlhjI6fQS8tyOd5HKOP7lAezBPfMkvYcUTbKaQZ1ZMjiW7yPFS1gt7s0BzEvPF7f52/+O+/cDkr5jenXgQh+LPVoUOHWFpa4tOf/vQUJHW7Xb785S/zkz/5k89pH//kn/wTfvVXf5XbbruNPXv2TAN7v1596Utfot/vc8cdd/DZz36WX//1X+eHfuiHuOqqq3jTm97EG9/4Rt74xjeysLDwjPu47777eN/73ke1Wv26r+ec40Mf+hBxHD+n47ts0PQDP/AD/OiP/igf/vCH+Y7v+A4AvvzlL/P+97+fv/7X//rl7u7leinUMwT02kJv9BRfpoJp8pb3kF1Yw5ufI9vclvZZ8fxsbV2E04WwHGSCjtuuw6zukJ89LyBrNBINUUd0CrKNFYF5HAu7FIgtwSWAyfMk8y0t9h+FwjS1moVhZDKNPwkePSuvX4B6b35WtCB7F9FbHTGfNEYMMDtddLWyG6ob+CivmNCrVqSN2GyIm3e9ii5FEhyaW1ynK+045dAnL4hIfP8i+uy6gJUwxK1viilnWMWtbaJmmqjRGNMd44zCO7G6G1DazXEzdfJGmdp9q7iaTNYNDjewvsbVSnJhLu6chd2wJNfuI1jtiTHiOC6cxguGcMIgTdgQUwT/DkeF8FvcyKlXRaycyrSXHmeEGyPGiyVK2xad5HhDS3S2QzpXIWmGJHWPyvkxeiztHD1OGe6tEG3EpI2IfKFcRH4YdArLf7oKwxFupi7Hb4xojMZyHCqzMqafZNKm6w3x+znb15aY/1IbrCVdrKLjEqY3pnP9HKMFmLvPUj0zRGWWc++Yo34yp3q8ixrGuMhH9yVMNluqMXt3h/6RGvWvbUKeM7hugfKpHjhHvFhBxzkXvrfFgf/nAniGwQ2L7Fzpsffj57nwjmX2/PkYxjGH/sMm+AYX+bRvaNF8YFuE2oUFhXg5iT2FK3RMLvCmmq0piCoMe0QbrYrR/6JlnYuxKhbyegk9ThksGEonU1Sq2f9fN8lrJYJOQvl8sTuj0amcx+ajjs1bKuikQdwy1B/p0l/xWDjVx5Z8SpuOsCufj9FSCZ1Ymn90P4O33sDK7QndgwGtx8Yy6ZeJXcPEhV3njqSq8BWU14vsvLHDDEWrBGI3kBcTdU6J9YDKhWXqL1sWC7A0+P5XUr/rHPg+9tyFYl2Qv3s3LNhspUTLpLVMniap3ITsmYcLG1TnqwWYt8SvvlrajtaiJ/5PuUUNR0SVF6919WJXv9+/xC/pxIkT3HfffczMzLB//35+9md/lg9+8INceeWVHDp0iF/5lV9heXn5Ei+nZ6uPfexj/Ot//a/523/7b1/2sVWrVd7+9rfz9re/HYBer8fnP/95PvWpT/He976Xfr//dafn3v/+9z8rsLq4PvzhDz/nY7ts0PSxj32Mn//5n+dv/a2/RZpKu8TzPP7u3/27/MZv/NX2vfhLW18vU+7iUN6LfJuyC+KVMZkum4KsAjhJblsgX1cr2J0OfOVB0ctGIW4khpR5uw1KY5rNqRBZXcRMmZpMy6jARzXq0xYfsUSpoLX4G2lpLWGtACqjUSaUrLtCxK59j3y7jZlpote3pTVVtNiUER8XcltM9k0MMZ0ApVoVFSfYhSZqlIr+Zm5GAFHJiHWA78nFcrsLRhMvVPCjFbyj56DdQQViN6DmZ0VrNXEAHyfYxQamM5DXLJVw9bKMsjtHvlAnrYdYT1E52UMNxoXAudje8xheO4eyEOyM6V89g84c6eFFvK2h6Gcin3S2QnBmW45Z7bbgVK24I9NaQFuWy52hFl2Ti3z0OMOMrVw0k4xwrc94XwO/E+NbiM73GK/UiXpjzCilf02LcDslL3ukVY/hnKFxPGbxjjYuNOQzFbqvWqB2coTpjkhnK5hxRtaI8POixZak5HM1VGZZ/x/24RQsfGGL0b46ZlzCxDne9oDzb5UJwX2fFNZE98cMrpph4e6R+D0NxlNAYsshthIQndxmeMUstcfbnP6BRXQGe/9kHVsOGC/XiBuGoKuZe0jef7ynTu4rZh5OcZWIPX96HtsoozzNme+dY/nzA+L5kLCTs3PTDDN3b0o7daJz0gWDZBG7hSSbmmWS2am30xRAWQqQpMRuIc2LvLsUleVs31Cneq4Qw5/fIluexdvsYWsRujfm2N9ZYu9nJW5FG8nvm7tvAA6iCwnkOQtfajNeroATl/dJUDLOkVU8xm+4jtLqmKQVUNqynPkfItmnLtpzJcO4qXGeMIfjGUV5w5GVwBsKg+Sk+4rnpFXnDSGtgRkVDuEagh1ZN5Qv5qb2wpqsA8ZgxzG62RBN4PIeXLeL3dqR5zYbuF5fBjUqJRmUaDUJznVIF2t4D58iu+0IQUd+/67bQy0tQK8vgvKXTJZqQcd9w/t47nXXXXfx5je/efr9ZEr+R37kR/jX//pf8wu/8AsMBgN+/Md/nHa7zetf/3r+7M/+jCiKntP+kyThta997WUd05PLWstXv/pVbr/9dj772c/yhS98gcFg8HXdwk+cOMH8/HNvvz788MMsLy8/p+deFmjK85y77rqLX/u1X+M3fuM3OHbsGCChfM9mVvWXpf7KTc5dRl1ClV9EnU/F40qjw0iAU/EcXasJuzNxzHZWGCMKN+6LylQr4oQNwgJ0utL2KpdgYmSplLAhEz3LRIOjNSqKJHalPxA7AJC70MCXlt2Rg3ib29PQX9fpoSr+7qJZigSw5ZJjp6KwuLMdFeCmMCMcDuGRbfKbrkLd9TB24gH1muvxT6yLJqk/kteMQhFf92Mol7CzdfSFLVTEdHTdtirojsI2K5i1jlxYa2Vc6MtoeS5i5cHBGihF+XTRAveMtIZCH1LF8Mo5Gd/vZuhBTFKtij/R6TFq0orTmmC1u6upKbRD7thpsA69Z1FAXOhPwadtVgS4Aao7xNRD/LUe4wMtwrU+WUkTnRwKUIwzwtUBqjvAztSoHO8x2lcl3Bafn9IWtK8IaZyQdp4NDWlZE8+GhEDnigicMBLJjRGlDUvQs1hf0Tlo0Dns+dQmvVe0qB7roZKM1bfMMfugJp6BQ/92leGVswRrPdL5qrBdo4zRSpXkFQ3C7Yzyo+usv20OEzvMgYjWV9ex9RL105bhvHggrb22yezXRiRVTRZptq/TeFfPkUfiZB1tGCqLLea+uM76dzYJ+o5oG868rUJacfh9xf5P9BkeaVE+ui0GnmNxDkeDrYQCCCdu8HHG9qsXqR8fYXpjYaWcm8a4TJzA0RDPlfC7wixGbdFF6SQjX2ih4xRbF6PO4ZWzRJugcsfmTSVmH44xoxw9kolB5+nCAgL6yz6jRWmdVc7J7+bC6yosfXmEjjPimYjuQZ+FL7VpX9EkrRgqJ7qMr2yQ1DTWR6binMMkCm9oaRwHFKRVYRXjpgAonQlQskV7Lo8ceclSPit+bC5JqPxJMa2dZTilJXR7omdsd4rhihR3ZD+qM5CbKc8TZmq+KZYanS7+aIzbu4TzNclsCb/IvVSjsYR+Ozu18HjR60Voz73pTW/CPYuNuFKKX/3VX+VXf/VXn9fh/L2/9/f4d//u3/Erv/Irl7XdV77yFW6//XZuv/127rjjDvr9Pnv37uVNb3oTH/3oR3nzm9/MwYMHn3UflxvBcjnTeJcFmowxvPWtb+WRRx7h0KFD3HjjjZd1YC/XX+6aOnPnOS6XVto01NY6afNQaKFSyY2aCMJ1FOKSpBgdLgwijUEFAaawH7C9vgAe38Obm5FJuiyTvDe1C5DccDSNIFF44Hm4bm836NeXx9AaV69K+G05IN/cluMYjLBJgmcMeaeLrpTlApWk0jorIkYAAUxBAKUIe2FNjCnTDH3/43JcpQhd1pjHz5FvbmEO7CM/ex5z+CD58ZPCygxjGI7QozF2X9GuA2GwRimuFKA3O9K+CyPUMEatb0PB/tjAE53PyJLMlUmrhtoj2wLwyiF5q0K0NmC8XMUbpqg4Y+YvTkO1LC2gonXXe0VL2h4wbYep3hC1d3k3D69SsF9KiV4ou+hOPPTxN/q4UsB41iPYNlQf2ZKWo+fh9syh+yPsXIPB/gp+P0dlwlgE22NG8zXm72qzfWODqG3IfYU/tHQOeoQzhqDrKK9JEHDvoNzNWk9Ru/sco9n9NB8f0blxhurpEatvbOI07Plsm96VdapnhEUqP7ZBttTEeRozzDFn1iiPmpSNIWtEnPmfVshD8EYKaxTtK5doHhVTRmfg1LuaLH8uxhnNYEkzWgS/L8xIHjlQMlJvPWmx5SF0FhRJ01FaVWQlRXkVVJKRRQVDG3kCxDNLMl/D68TT9pweCRionhYHdJTCVoJLTEAnxphoTXShLwJ1T3LlzDib2h7YICAvGdZeGdI4YclDsL6mtGkxg0wiWUoBysKxv1lHx4pkIUMXbuqH/98xWdXH3xxRO2tJGj6dwyXiJiQthxk3wEK4kzI8UCfcyQg7sHFTyNzXErr7A6yBzRsNrccswwWN33fkkcIfCqMU7oguKq9Y8rLC60tLbt9v3SMGtUVkCs7K+uB72MFQmOHZGQnw3mlDboUprlbEo833UcXfGM7hFmZkfRgleP0MU5xnF8u513MzcmMzepJm8+V6wWo8HvN//V//F3/+53/OjTfeiD8JJy/qmTwdX/3qV7O0tMSb3/xmPvKRj/DmN795ao75QtZgMODuu+/+uhYIT67Lbs9df/31HD9+nEOHDl3upi/Xt0FNNU1FpIrLKZgnOw3itRODSa12Fz/PE2+juRmyjU0RfDfquHFhemi0WAz0B+hKeboQYp38y2V/LhXnZQn59cW6oNubCs5NrYbtdFGlklxwkgSbpLh7HhaAZ93uNGCjhtveIe90pDU4YWCMwQ2GqLkZiBNpk23soPcty13/8TNTw718p4O3f4Xk0Dzm81sS61KtQp5jVvaQhYbhVXOU7xmAtQKYKiJodxVhs/JqiBdnuFIgjtzGEN+wHzPMGC1GmLGl+uiOGFBWQ7x+CuNEzsFgjGtE6PNdyoVWx7aq2IU6WPE3CqwF51F7bAe0EXZrq0s2W8Vb7whLlOe4lphrEngimH78mDgyF9oBZx16tgXnejSTDHv8FDTquNFItGz+Is4vMdxbQeWOtCqi9eGeCOuVSCqK9Vc3WfzCDu3rm6IbamjKG5a0rBjParoHSsJIpLD4xQ7JbJmd1+/DH1h2XlEirsN4pkJSg8oFx+BwDWdg/nNrMik3iPHObnLuB/az8mfr2OU5mYrrDvGcY+UzCSff1UANYM9XR3QPRgyWFDoR52qdwtqrBHQ4DXs/m9Db59M9qKgfV9RPpJQevkDn1fvYfP3idJTe7ymibVj5TI+d66sy/RfA8HCL8ok2zjfEyzV2rg6prAZUn9iRKcilmrB8iaV/pE7tkW1M1wrgD7zplF1e9vG6hXVCMfrvDVKyaoD1NcGWhC3rRAw8uwe0uH4fDph5WMTqziisLxqnQx8fsn1dheqXwRqxClAWOgdDGha2X6E59IfbpNUZnNasfC7m+F8POPRfEjqHI/JIUV4X4JkHsP0KAUzKyfmI6xqcgN6kKlNz41bBOGWAVZJT5wEW2v/TLYzmFEu/+2VZTzwfd/NVuLsfQd14FZxdx25soSolyHPO/uyt7P3ovajRGD03g93Ywo1jOn/9Zlq3n0Stb+OW5hgdquMNM7JKgFcw4HZzS6KXQNrxL4V6iQnBX4h64IEHpiLyBx988JKfPZso/JFHHpl6QH4z6+jRo7z5zW8mfxqbnWerywZNH/zgB/n5n/95/uk//ae88pWvfEpb7hsddXy5Xno1bcUZmESNXGxPMPFRgXwaewKF1ql4fl7EqeTbO5hqVRYr61BRKCAnCMjHsYjCdzoCvoppBhWGhQZHAIWNh0XunBWaPkkuMd3U83PCUMUJdjCcTvQ568RMs6jsxGm8lT3Y7R3UbAu304aZJsSpWAWMY5m46Q+EXSucuyd5eADOZuRnz+N3eribrsE+dAzdqOHaHca3HSH8iwcJKiWynQ7ewpxoWDpiUKmcCK21P0s+WxVWx1psvYTXTxktRpTW5Rxks2X81S7G2t3w3t4QrJNA1ZNOfKIqZdQwYbSvQvV4l7zksfmqGWpnU/ydGEohpj8GbfA2ezKmrxQEvriYjxPUTo/s3AXMdVfijp/BpRlmflYYvkoZlabCkuwXl9/xbYcone2RRz7j+ZBxS+ONHeULCaOliP5eQ9jWZGUIuo5z39PCG8qFtHE8YbjkF8yNyKysJxfXrVsaxA2F9aFxwlE7nZJeLRc5byRmieOWZu7OLTlvpRDTkwmplf96XlpX3RFoTXJgFucpgrU+ez8zImmKbqd+cszsV3oc/1sLLH0pRR2XvLqkFbDnCwNMZ0R0PEflS8zc10HvdBncvILOHWHb4Y0VG7coGk8oSls53Ssr7FytyMMaAKN5jTesEc/4pGWNiR3VJ3aIl+tsXh8QdhzDBYU/gMqq5fz3zLPns5si6G9VcEYRtGNML5EpwMxObQtEL2XxiuganVhsoAk6AoAW7xozXAqwnsZkGTYU1/Gk7gtT2Lf093i0Hh3itCJp+JjE0d8bgIMz3zfHwr0JvZWAPDT4XU1WMpS2cpK6Ialq/IFl+Y4hGzeX8VIwsTBxaQX8EeQlaculJYlQmfg4+V35vZoERvsy8tBjPI8wzcWNjTm7iYtC3CPH4cBe2LuAOrvOyfe/ggO/cZ94mdXrrL59hYWvNlFHz9D4+P1QlvQCvQqlzfbUI+0STJHnqGplV1P4YpdT8u8b3cdLqC72d7ycejrA1O/3n2JZ8GJhjctO3/ne7/1e7r//ft71rnexd+9eWq0WrVaLZrN5iXfTy/VtUIWoWwXB1HtJaXWpSHumtathKpfRpRKmWkUHAd7Ksrj5FoaTE88lOxqRb++Qt9sFCyWaBFMpC3VeKaPK5en0nUtS3Dgm73TJtndE1J1K286lGRiDt7QgbJHvie4JUHMzEuwbRpc4noO0EHUkkzPK98mOncCNxmSPHRWtz8EV7PYOtteTf6OxMF5FC3LSfpycp7zTxd77iGi6jGH8qisIb38AYAoCs3WZ0BJbAlkA7J5ZVJqjB7H86wxJ6yFZ2SfoiJdRVvHwz7dx2zs4T1o6ujOAcYydqRJtxHJcRR6ZKwd4I8touUp4Zoe5r2wRnW5jVrdJZsLdC0UiXkaqP4btNub8JsODDez6Bt7+FZlcO7wPfe0V5BtbqLkZ8hOncWlG2oywlQiUonTnE7RvaDFYKTFuyUW1fCFh56qILFKoTFoz0bYjrSjCHfHRGbcUgz1ioGh9BDQB5TVH9awwPzaAoCcAafN6CX3NQ3GYdhripiJZLpzYTeHGnRUeUD3xh3KeweuO6RwMQSmC8x2cVphewmg+YO0NhV1AO6F0cgdvo0f5sU0RcKcZw2vmqZ5LGRyuQbkkI/KZIyvJZ2nhq47RAvRWDKtvzQg6kFTl+ObvGWJGKUE3I+jlzH1li/6VLXRqmX8gJg8UaV3ARP3hbZY/sVbE0wQEO2NKx7fFHVtTOKTn8nsG4lYoVg/FZ0lZi04s5Q3LzCMjTr0jJNzOOPemEBsaeW7u8Psp1XMxOnE0nxjTO1jC+ZreXp+gZ6mfHLP/k0O8Efg7MXMPpniDlMWv5vSXPc5/l6G0kZKVFKNZQ/dQicqqxYwd45bCG8J4QYCv1Uyn5/zCeskZyEsO5znRQ8UancLez0p7UlVKKK04+4MHRfuY5+RHT8KDT/D4z1/B/j/piV4xScnPnmf+3j48fAwOLKPLZWyvx+gt14Pvk69vin5puqRNtJkOV6w373jFP3ohVsuX6wWuEydO8M53vpNKpUKj0bhsrDEzM/Os/y63LTepy2aani96fLn+EpazmGr1EnZmAnpQGtNokG1s7ubO5Za8GAlWxpCdk7lnXSoJq1SKpP1WLksrL5AsNzURYRsjkShc6uckrbwaajia/szFsdxp+h7OWmGuhiOUX4SZag3dHmZ5kezM+eLQZcE0lXIR5hvi2h2xOPB8AYfjmOzx43iHD5Bf9L7NyhLZ6XPT73UQoOtV7GCIHQ6L8yHWCbbTJfrio9g8x9lMjr9aIe90Sa7ZS/DQabIr9+LtDCQapTsgX2hJwG1fiaHh1gCV5OQzFcI7H4W5WdTsDJw6D3MzArwKwbt54CjMiM/TJOMsOtfFlgOc70mMR6eDGw4J14bYurQunRHmgtzB+gbklvBP1uDma8hKAeahE6j5WdzmNu62a+H0Oma2xejmA5SOb0O7g9szj716P7UTQ/oHSpS2c/xOStL0mXl0xHAxRKeQRYqsjEyOaYXzINq2wr6kjqAnF1BvpMjK0tIBJcDJh/4eGV2vH7e0r9CUNmX77gHNaM5HXb1CVvYorxVLmimm0owhb5XJQ8PcPW2ZQHOO2gNrEPhUT/apP5zgAk8y3JplzPZATBaVwraqhBsjVJrTvqJJ9agI0lXmiLYy8pLBG+aMZ31Gi47oRAAKxvOQjmHhKxmrr6tT2rA4rVj/wTmUA6cN5Qui78kqFhNrmR4cZmzdXCOLYO6BETr0MJ2htKRtDsaQVQPGcwHVk32ZxgMoWm/dwyVKWzlOK/Z9KsWGmuYTIihP6wFeP8UZxbG/bQjOGfZ80VI/PkLlltoZTdARdjDoZrQeTxmtlBnNairnwRvkBH1N87HibyCVkOGwa6UdWxFjS+WgfgxM6ojriqwizCAJaF+m5tKawoYOrwPWGBpHB7SvLtO6PUYFAapaYel3viRtxUIS4Kzjig/cL7pCa9F7FlFnzkkLLwqxD++Oz5e/+AR23x7yK5YwX/ja7vJ19WE4ekpY0+EIZwz5dS++1KQY7PyG9/FSq7vuuov/+B//I6dPnyZ5kufff/7P//lZt333u9+Nc45/+S//JYuLi8/Z52lScRzzkz/5k9xwww1P+/NTp07xT/7JP7msfcLzAE1vfOMbL/tFXq6/PDUJpZ0YW05z4Aodk8usmExmmZhbXhRie7Gvk8tzvCOHsOdXpaUVj0U3k+fkxUSdiUJcfyAaoiQRlmqmCVFIfl7sDHAWFckdoUsS9N5l3FkBQZNtledhVzfQjVrxJpSIPFtN3OYW3uEDZMdPyWu2quIm3u5MW4bm2itQFzaEETIGXSmTHTtxqb3CBDAVrUcbj2Gg5Y63eN7Ea2qidwIBaroUwcoCqtfDf+AElEvo+x+HhTnwyzAYYc4VoHGhKQaJna6Y+LU70jL0jGiPZlu40MOWQmxkMPc8Lu+z04OGaGnM9gAX+TijiVfqhOe6ck73z0su26OnSG86jL/ZJ2+URVPjHO7mq+hcVaH1H+/FFKJ/NrdxozHqqw+SQ5ENFuMAVauiLmyQ3XiA3Nc4BcN5Q8WKlmU0H5CHCn/oiJsKvwfV1QwcdA/I0pOVIOg7/BjGTU0egD9wBH1xk9Yp1M5k5IFG5w5vaCmti+Ba5bDni0N0anFGoxwMrl8k2hiL03qRneed3yG7ch41vmhSKhATTd0by4j+MEElgHMkyw38zT6mPSCbq7HzijLDRUW0Q+EqbrGhRieu0GV5zDwIWzdTTIRB6xGHcpBVA2YeSbCeonPYx+/B3v++Sf/qFhu3GPZ+ZowZR2QRbN5cIug4Fu7YwBmFm2QAKgVpTve6GWpPdLG+pnqiR1YNiqw3AXHOaGqnYjqHQ1rbMb0DIfXjI9qHy2zeGOAPFEt3woXXBpgtR2kdTGxJ6j4YRVLVOC/EKQm6jVse1hOW78LrfMoXwHlQ2rCM5jzyUOGNHKNZCex1nrCDSbWwGago5u/N2b5WJujSMugYRnsc4ZbCZgozhCO/dS+84jAz//5enNK4wyvw4BN4Rw6Snzglp2ASFF4IuV2aYc9emLblpxKBQg6gPA/VG2IeekLWI1tk2D1yDLOyJNOzvoddXpDMxRe7vg01TX/4h3/Ie97zHt72trfxyU9+kre+9a08/vjjrK2t8QM/8ANfd/v777+fu++++3nrm26++Wb27dvHj/zIjzzj/r8loAmg3W7zL/7Fv+CRRx4B4LrrruPHfuzHaDQaz2d3L9dLqCYZc5MA3sliNdUxKS2tqouf/yQDTJQAqez4qeJJdrof7XvYNENHoSxsc7O48Vg0BpUybjAk39jCm5sh394RrVPhPA6iQ5oCkjBEl0pk2zvyWK0qE26H90G3JwaaeY6+sCbM0EwT1x/gcgvXHMI7t4Ht9MgfPjoFN7pUglKE6vd3LRWswzu0n+z4SbzCyj+7ai+qO8I+ekysFMLoIm3XrmDe27+Ca3exjx4TbRbgZuqowRC3tSMsWxRCGMh4f5KRnzyDWZwX7yTfE43H+iZqSXxHbDXCrO6gZuuow/uwvkHXKjilMGc2cM06eTVCD1M8B+liFTPKJFttEOOO7MUMUpzn0b6yxNynT+OMYbBcovFvvozTSljBwRBvfhbVqGFXN+R9zs6IL06eQ62CXZohfGKN+MgiccMnD6F6zlHZHOO0Yuv6Ct7YUT+d4XdSnNH09wZUz+cM5wytxxOyssGkjplHxsQzAWlFEzeLNmoKaUXT+uo62UKdc28o4w8h6DjCdoYZJMTzZYaLPmlVMViGQx8vImLSFBcY8AzhhZ60t2JhmpxSU/8klcgEmi0H6O6YYLUrgmvP4O0MSKsVVm4fsHWj2F6YOGfjpoC0DknT0nhcs+cTq9RPt2hfEUo4baSYv0t8gHQ/5vzbFmmczPAGOa7k0zls2POFhLVXRcw8Jv5XO1cGDJYV9vXzlDZzSqtj4vmQuGEYNyXs1u9XCNoJvcM16o93psJwrLTnxoslbKAYrJTwB67QKkHzMUXjeExvf0A8l1M+b2icFBBpUsu46rNztSYra6qnYe5rIoB3GkZzMPuQpXNIs3L7gFPvrFBaEz1S0LP09hmJRUFYQZ1BbiDowPY1hmhLMuDCtkSpeH0BvCAA0yUJZr2NNVpujEYpNs+ngMlZJ8HakzWnSAu4eO2ZsuHFcEq+3Ybt9u66pNXUisRt7YgPW2UGPYyx1ZeAweW3oabpn/2zf8Zv/dZv8dM//dPUajV+53d+h0OHDvH3//7fvySa5ZnqVa96FWfOnHneoOmd73wn7Xb7GX8+MzPDe97znsve72WDprvuuou3ve1tlEqlqSP4Rz7yEX7t136NT37yk5ed+fJyvTRLh8XIdwGenhzk6y3Mka2tPwUwCVhwU0H4VKCtNDoqPm5pJmBhroU9cXq674v3l21u7xrbFd5Ok4VR12oi9E4zbK+HqVYkd+vMObmj3O5CvSbO1gjzo32PbHV9epx5PcI8sD11LDcrS0ULRLQwulwm7/XEWsEY7NnzoDTJDQfw7z2Gvv8JKCYAbaeLPrhX9FDFe52wT9mpM3h7VzCzLWyrCkW6uju8gl5vi5gXRLR8Rgz9TKMOVWGASDPoD8TDanWDvNvDrJVhZQl9dp380B50f0zvFTPU7jgm9gslHx2nKGsZ7CsR7mT4AwnBdaFP56oqjYe72EpAZTWD0Zh8MKT08a9iWg1st4/t9QQw1sq4J07KOPhgCI0avdcepPbnj+ACj+6VFZrjBGUdcw8MGe6JRCRcK1M5P2bm0RFZSeJXJjYO1fMJwwWf0rYwNt7I4jxFVhGhchYpShtie4ATxiZdqqOTnPKao3IhI+imbF9bphXnBO2Y9VcGZBUoFeP+ZBkUIFWlGU57IqIOPVSqxOwz9FHdIXiG8X4RlZbaQ2lxFjluejBm5pGEc2+psPfPe5x/Q520DvGMJWhrzEiz9Llttl6zSO10TGkjJ9pWVM6NxWTVGPrXzsmEYEVTPt1jcLBG9ZxkykVbPuWTXdLZMotfaAMwPFgjWh+jnGP7avmb2ftnW6QzZbErMIr64x250bB2qnGyRtM54OGNwR9ZdGzpHIkYz1t0qkGFlLZyDn08p3PY4IwiaXpUj3ZYv3kGlYsQf+5rI6yn8YeOte90eEOZkms+YekdKqMyaD2WELc8RrMG5SCpC2Cqnnf09ypqpx1hO6d7wCNugjcoJutSAVXOFGaY88VakefoUkmSAI6fRoXhlLG9xBPuycHik5uUYp1RxcTuJaU0Zm9hXLi5hZptodJMhkuSBJU+L+7g5fo6dezYMd75zncCEAQBg8EApRQ/93M/x1ve8pavy/L8/u//Pj/xEz/BuXPnuP76659iWfD1LI/+t//tf3vWn+/bt49/9a/+1XN4J5fWZX9afu7nfo53vetd/N7v/R5eQR9nWcbf+3t/j5/92Z/lc5/73GUfxEuhXja2lJpkyE0z554csVJ8na2tT9kVlzMVek8WM10po6oV8U+KY2ySYOZnsW0xuSRJyY+emGoVgGmw79RR3Midoa7XyNY3yb7nVsIvPYbt9XY1T54PmYAwVS7vBgI3aqjNLVy+m6E3ybTCWfTn7kMXGiRljLT3VpZgMBC9VMFiuTTDtMQN3C408O58WLROzgrr5BnM7MxuTAkXgUdnJUDYaFwYoOIU9/gJyb4KQyiXUMMYuyiiRt3uMrpxH6V7Tsh78Iz4MC038U9voqoVvHJJIk6sIzuyjHd+m+TgPNXPPAoLc7jIJ6uFookapzQe2CTe22C0t075iU3c2gbNeIV0toJ354OEN1yFPbCEWZrFHT2NLVqMuiGWBfbRY6ibrsE9dEz8qza2qX16AxUG5CWfxuN9MWtMcpyn0Zkj2oixgUbHmYz7pyHJbDhta6nUUl5P0bFs44zC5YqkbiivxlQe7uAqEbbkkzRDRvMe5XM566+q4ZS0lPLQoKzjzHeXRPfkSaaZSZFR/XIJlaSofiLO0oNY4mZ8A1mObVbAWpRnUIMhcWuG5lfXppE0KpH4GFuLCFd77P9jWH/tLKMlh8oVZqgxMczdn6N2eijXon1FRHU1Y+sVhu6BMkmjzNJXhM1p3rOBrUWo7pDqQ2PwDDuvnKeyLsxX0vDxt4Y4rSmfHaDGCS4K2HPHANMfo+KM4HyH4ZWzbNzis3RnzNYNIUHHMXNfh+HBGn43wyTQemzEeDbAjB21MynDpYDqOcfW9QqdauK6prKWoxPRIl140wxzX0vYui6gdtqRlT38TsLmzQF7viDRJxu3QuthTdi1LN+RyvRdJyeLFGlVYQNx+jaxQxcGl5I357DerjbNi0F1YLBPnnfFL3xF2vOFWDsfDEVPeOrsJR5wk68n30/q4mndi5+rwhCl9a4vXJrK77XZEC3TaIy7+qC0aB85+bzXyxeqxBz0G9/HS6lardY0j3ZlZYUHH3yQG264gXa7zXASh/MstbGxwbFjx/jRH/3R6WNKKZxzKKUu2yrgharnxTRdDJhAYlR+4Rd+gdtuu+0FPbiX61tbypinBvRyEZiZMEqeL9N0TxfmC5hWQ6bdzp0XFmdpEbe6JkzPJOx3mmJeuIlHobShCkCiCi8mMsmx8+bn4M/vmepqJtuZhTmJVPA8bLsjQs/VTdyxk1O/KBuP8Q7sE0ZlS9glb2FOptkm78NZ9DjeFabXa5JDd81h8keOYioVzCMnUftXsE8cw1SromGa6CjanelpmAAmb34OKhVct0u2fw51x/1yLgtgAgjgOrcqgtdSROmRC5K352lsKSSrBYTnxeoApXDNOhhFXhMmsPvKZWpPdEhuvYJgcwBnVgm2SrhWDdsoM14q43dTsJAdP4V9w80Eq138e57AXXcF6ugZVLmEa9bJXnMtTinCx84zun6F6IuPCpP2wOPT9qhzlvyaA5jHT2MePw175kkXauJgnVlKF4YyrdYZk8yV8XopNjQEOwnWLyJFNOg4Jyt76Nyh45x4JqC/bKjfvQVphp2tkoeG0gNnSF9zgOFymdrZnPVbDOM5n96KuGs7I9EcysL8vSPimcINfjjCVUuoRF8SlaHafVxN2qBqIG1hlKL5pQvFL09y38gtBJ44d+eWbK7G/F0dRvMNkpbD7yoaxyzjlsHcvEJpI8N5itxXmET0O94IKo9u4UKPwdWzhFsxzNZQac7gYI1oM2W04DNuztB8tIct+WJ2OcxIlmqYOCereDivCESOc3p7fcJtaF8ZkoUwcy5l9buaVM/neL2E2a9lklU3FxBsDLGRx/LnM7KKz9wDHiZ2+P2ctKJRRmESi/Ug+Mz9lOdvo3I+wXmKtBEwd6/4NS3dmbJwt1dYGijGcx5ZqBjPSPsuD5n6XI1mNZVVR1rVxIVvkzcEb+zQAxjNKpyCxmOKre8sDCeLDEpljHifnTz9rEDpkrqYzZ78TTWb4i1mLWb/ikxR1ipkzTLeekey6vYtQ1b4U7VeArKSb0NN0xve8AY+9alPccMNN/CDP/iD/C//y//CZz7zGT71qU/x3d/93V93+x/7sR/jlltu4d//+3//vITgT1f1ep377ruPw4cPP+99XDZoqtfrnD59mmuuueaSx8+cOUOtVnveB/Jyvfjl8lxGdp90FzDR55hGQ1y9nxSBIiWAS5fL0yy6ybaTKTpA9n+RJkqHkTAxSYpp1LHbyRSUqTAUTVO3R7axucsS1RsyqdfpgNbovXug2xOzzDOrEAaochmT5+T9Ad6BfdgLa+iDe9GzLdT6lgAmhIWCQsSeZVPdEXGCmW3BKMHs24udrQkwSjOxWVicR508U3hQ9cEYTL1G3u1JiK/vY/sD7OY28f94G+XPPiyTbBe3K0sRlMvo3MJFInbVqMEoIVuqER5dF0GzVrhyCJm0lcxAYjjqd2+D0gSZxdZC9P49OCCZLRPcc5TyWhU3UxdTzkoZdcf9dP/aq6gcO4VZ3RYH5nGM9j38BzbEUDTLZdR93zLZXEUu2E+cEUPOwQjz4DE4tFdcy/sj1FwVZR06ydG9GFe0Yb1+Oh11d56WqTkjACArezJ95Rw2NFTvOUfQWWTndXupnh7hfe0Enf/xWqp6mbCTkdQ9tq82+H3Yul6T1hyNJ8TbKWnIeH9/X0TjoQ46TsVKoSOGogQBxDE4XwxBkxRGT2rheOKqzSQENM+xUQWd5sT7moTrA554d3N6Oy+CZ40N4MxbNQf+W5HLl2kax0WcXTnZw5ZDOtc1GM0qOCjtxz1/sYM3stKi3Mjwuwn9g1Vqj+1gywHxTISJ7dS7ymlFPBuxcbNPtCXvtfVYjDdIGOyrEPQdWVnLYMAgIauFkvlXCUTHNs5RJY+gl6NSR7gxZLCnTnkjxynF8u1t0Ira6TFZyWBDaU3WTo8prxvSqmHcUigr4vzaWUvuK4KeYzQnJpV5STROOgUceEOHP8gZLnqYxOGNHYM9Gm8Ao0VAw9U/cZ+000u+OPG3mmTHT01vip4RKF28Nk2eM7E98T3RJJYime7c2hEN1OIs3mqbdN8MpllBn1mTHMvBUAZKXq4XvH73d3+X8VjW+l/6pV/C932++MUv8jf+xt/gl3/5l7/u9qdOneKP//iPueKKK16wY3q22JjnWpcNmv7m3/yb/N2/+3f5zd/8zWkY3xe+8AXe//7380M/9EPf8AG9XC9uPRkwTUppJSClKG9xYcrUTFps3r5l7MbWkzecPufi/U+2V75X6JYi8WBCgJZ3YB/ZqTNT1snMSVp1traOGxTu382msDa+h+320dWKLJZICLDyfEyrIbqiqw5DluPOniWPx+hSSaYAKyXs5jYasJ0eemlefIyMhlJNsrzufwy9FaEW5nBrG9jRCNUfTJm2STtucn5UFMLKIro7EED03+7CFnoMHQTYOEWH0p937Y5Mp+0pjC/THNXuYvcvktQ8wlzMDN1sXTQ+gQeZpX+4Tu2Lx6HVkHF5rcVXKU7BOsKHt3B7F8lqJUx/jD69IUDv7AXqd55i8I5bKJ/qoWYbuMdPYFt11HabvNtH16uonQ5qroW3PaB3zQx+8wqic11U7lDtLuz0sEtz6K0OWdWjdKYH1pLNllGZw/RGuGqITgvNSQGYUJCXJJTVjDOyqk90cod8eUY0SxcS8sjD27vIzJelXda7ZobRrGHmkYzBoixZlXOKPERAhQfVMxDXFXpjB7s0gx4nMqKvhSEjDKfhxPgexEMBo9ZOcwXJrehcinzDpBVRWt3BG5QYL1W44t92wCg619TFmXxOAIwZavorPvOfPS83AIHP+bfNUTkmAxR5AM2jKRde47P8hZS117YIu47SRorfF5AWdDOGBxuUzvRR1uF35GITz5fJI9Ef1U85BguKhfvGmJFkwkWbCZUzKTuvqLJxc5nmMZ/+ii+GlUaBMtPpuqRmiDZTekdqqBy8fsbmjRGNE5rK+hxpoFFWJiCr5zKcVgLsNjNh1WY9lJMpR6fBHzlG84raKYgnZI2Sc+IMeKOc2hlL90CA9RVmJNOS1bOO9dflLBcxKcoYbLeP2+lM//6fsS5aSybrkjxcRDi1mmI/0u5I2kAUysRp7hhcv0i4naC3+/J5mFiYJOlTXuZbXt+GQvCZmZnp11prfvEXf/Gytn/LW97C/fff/4KCpheiLhs0/eZv/iZKKd7znveQFXdlvu/zkz/5k3zoQx96wQ/w5XoR6yLAc0l8itJT0faUfRrH2LXN3fDeKBRX3sKD6SmtPGPkrtDzcPlQGKOJ3xMioBbhZ/HaVsThplpF1WvYyR1kEAhgKjyb0FriQCatQOvwZloCKvK0uHBqdK1KvrWNzop8uzzH7NsjYCnNGNywh+hP7xYAt7iA3WlLuvxsC7fnCGa1DTNV7D0PSSvBK0BQnqOaDfJyQD5TJnjkDN78LHZlHnffo1NbBhWF5N2egDmtsY8ex+xdJltuoSoh8WKJ2pdPyV1wqybj8p5mtCKMVO2Lx2WxDzzUOMVVQ3nvniabqeB5hnSuihkIAMiu3It56AT9d95EaSOh8qXj2MEQPT+LatSxjxyVDsF3XId64izpNfsw/Zj+4TpxXVF7uIPabksyfKXE8HVXUnngAq5Vwwxzzv4PLeqnLMNFzfw9A5KFGt7w0ouRTnLyyEy/TxoyMp+3yuhBjK2EKOfwd2LiPXWCnTGdq6pTH6CspPFHDpNAeS0jrRmsB2ldY01holivotd2hDnyvCKGJ981JlUaFyhUGAhgmtx55naXZXIO16jidxMGNy5TPtlBWQeeANOkpmgcT9h+RSCC7pFl7TaPeV9iT5Rz7Pl8FxVn5LMRJoFzb/KYfcDR2+fjjR3DeUXlbI7KcuLZCJ05zNgSL1UIN4Y4T5M0JfB5uBzi9y1JTVy0z3x3xP5PjvCGGZ0jEc0nLI1jI5KmgJO5e7tklSI/sWDGkoZH9fRoqjtTTpHWPHBQOtPn7P/nIMsfuxd3wxVULii2rvOZfQi8kSVuGfJAfLJwDmfE8sEGCus7RguK0oYYjk61SyOxLRgt+ARdR1ITRsrEMJpTXPVTd4Pno/cukx098bTLz2TS9pLHilzLSU2YJl2K0NUKbhyLk/84Fmf+pTk4u4o7uEzlgfPkSy35e+8PyK89iHnohKQLvNj1bdKe63a7U6fubrf7rM/9eo7e3/d938fP/dzP8bWvfY0bbrjhKULwd73rXZd9fO9+97u/YSdx5Z4nXzUcDjl27BgAR44coVyErr6Uq9vt0mg06HQ6TzlxLwvBn6GeZjpuah9QCKx1GGHj8VREfrFnysXl7V8Rutxa9NzM1HQSwJtpgWcuAmN1bOHnpKMQZ61MwZUiadm123jLewQ85blYBszNyqi5dbjNLRlfrtUkWHcSmaAU2fnVqZA72xJmzNu7AnGMXV4gnSsRfPkx8n5fQOE4Rs80oVoBrchrJfHwOXZSWLBWg6wIA9bzs7hKGbW5LRftUoSrlrAPPS6O5dUy+bnVXS1UIWSduK3ra47gjp5m8I6bKP+3e9BXHiJeqROd7UB/CNUy470NwnNdVKcnrEp7gAsDXOAxPFAlqRlmvrwmWXaeGH3qnb54E3kaWwnBOcypNSiVhHkByfArXLTVwX1svnqW+c+ex1UjbCXEdEYyxl2vkc9UUPc9BjdcJfqgzbborXwjbFe3T3ZgEZSExk4m51DIuL91OE/h9RKc0egkJ62HBFtDxnuqBO0Y62s6R0oEfUceKnGhLhvahwUsBT2on0zZudqn9VhKuBNjNnvCFE0YI5DfQ1IAZm0glBYkedGicxeBpyLcmEjcw/NGGdMe4HyPvCVrXFbxiE63ad88x8atiuU7ckYzhqShmLtvxIXXllAOKucdrYe6IszfGbFzYxOdOXTiCLo5OpHPow00OrFkVQ8zlpsGf3PEaF+V7gGP2a+NyEseozmP0mbGqe816Fhx8E9iAXOu0LspinaoLbyr1PRnKndYX2N9TVI3BRjycAoGexRBF2YeGdHfG1I9M2b72jKzDw5JWgG5r4gbumCQFJmQubRvTvE3fHQO9WPixRV2HEHXoTPHuKWxgQKL6NgSR1ZWtF+ZcNV77y1O/TNffi4ZLIlCsQnQEjRtx/F0sOPiNWG6RgUBeu+yDIZEoUzSDkcw25JBgHoJG3qYfox77DgqCPiz7lMnqZ7tmvFC1GT/+z7yT+UG8xsoOxpz5h/+yjftWJ9LGWO4cOECCwsLaK2fVof0XIXcWj9zYMlfKiH4pMrl8tTK/C8DYHq5nmM9w7Qc7NLmKgwFYBR3fDYeC8V+8V3hxW25osVmL8hIvR0OsWfGeCt7yM6JANf2BxLGqbSItn0P7RyqWSc7fU4Aie9BbmUc3hjs5tausWbqYHML+8pXwJfEAdibmwGtp1N4rlGDiTu4MbjJe1MFO0UNPRgTHDtN3u+LMLVWlXabv/unoo+ewTkn4cOb2wKYggB701Wo/hi1JS03uVjluHOrmLlZXKGf0KUIVa1gCwNLfc1heOgJuYAYg7piP9U/fwh341W43GF9RTpXQbXK6PufIPQNebOEl+Vk1YBgELNz6yyt+7epPiLCY3p9bHMRnWSo7Q7pvlm8nSH2kaOYpUWSI4vo+RbON6QzknVntEJbCzNN7PHTzB4/jbvqIGptC704K5l5jTrJnjr68/eTf9dNpHWfyn3nsHtmSWZKBDtjVJxiF2Zwvp6CkbTm4Y1y/O0RyWyZPNJ4w5x4JsIb5+hxSnhsDQYjwqOn4JpD+O0hc+fb9G5aJOhagvUh8ZV1rA/RlrSHtq/xiXYcmzf5eEOfhbs13mpbAJN1UCnBYLTbmgO5gCpdxNnsgo5pBT4YTTpfxfQSsrka/YMlvJEj6KTkoWbtTQvUTyQc/n9izEabSini1A/Ms3FrCX8Ic/eP6RwJSWZLbF8dUN4MMLGT9qZDwGQxAeiUtC+D7bj4PCqUc1Se2KbyBNgoEAAXeqx+h49OHM6Hk+8MmXkImo8P6R2MqJ0cYQPZZx4azDgTMKVFY4UCb5jhDSTXMOzkDOcNQQe82LFzdYn5//dh8msP4gyM5wL8QY6OFXmkGC5ocl9E9+O5Al+WLd62Zutmx+x9EDdEhxX0ZFJuVOTNhV1H5ULC1nUhV/34/dPp1Lzdflrg9JRp3CJPjtyiW03UeEy+0wFy7GgsZrYXWRG4NJNonUqZZLGGslVU7jDdEao3ZnjdPKVzQ/JqSPqmGynde/LZVsVvfn2bME2f+cxnpm25bzQ95MlZc8+3Tpw4wec//3lOnTrFcDhkfn6eW265hde85jVE0eUD1csGTdZaPvjBD/LhD3+YfjEBVavVeN/73scv/dIvPSs6fLn+EtRFIOmSRatglaDwPQoC3MQA0/PRUUg+GE63n9LoTiJKpjEkaSYttnJJpluqFdT8LNnxk1O7gOzkKdR33gjHT+K6MrJqx7GwUaUINxyKe3foTb2clDGoagX1lQd3s/FGY1S9EFh7nsSw7FmEJ45J228gmgZv/wpsd3GzDZzviai7WkXNNHH1Ci700f0xbmOL+NYjeI8dFbuFNMWbnyXfv4R69ATe6XXcbAN8D7U4j1vbIN/aRoWh6Le0wjSb5O02+sAy9sKqeFCdKuJmfA/36DHRPlUr6NVtKJcwSYms7BF0EvTyEiQZpg+96+ao3Xue4fV7mPn8GRjHbL/1CmY+dYzs0B68zR6uHGLnGujUks5VCa48DDsdgtPb4Hu4wMMMM8yFbVy3YJmK1ga1Kmy2cYuzZM0S6UoNk1qwYK65Auegcs8Z7HwLvd0nOrcBYUBycB5nNFnV4PckB87vCusz3Fel+sAayf4Z0oZPWtEMQ4/qOY2uhXhffZT8tmvII8P4qhqljVRsDNZH6M6Axj1D6o9F7NzUonI+xox9kprGG0JaEydybKFPCoNdwAS7QCkrQu6MAe1AeTJR5RyuXhVbAsCMMmwlIJ4JxMPIOnaujFAWqucFkORlj+Ety1SPtjnw785g5xqsvqZO3PJJ6kpYv0eLUOIQdK5oPnTRpGXgkUeeGGqGPrYQ0atRIpN9xmBLPmaU4o1DUGBGwgz1r8jYvFUzmq9QO2NJGsVQg+/hDTL0MCWvh6jMCtvnwAa6ADUZW68I8YeO8Sz4fcXCPUPsVftYe1UZlUPQyegeDKUtpyCLROg92OuwrRSXKzCO5KoR/rESSQMap3Lihsb6haFl0ZqzBjZuCln6LYlG0ZWy3CgFgbTULl5/ni5ce3tnt53f7V0yjDK9mQsC8XtqNrCdHm44QsUJfuSjRgn2zHn5zAOlc0NcYPDWOphBRH7g65stflPr2wQ0XZwY8mKnh/zbf/tv+Z3f+R3uuusuFhcXWV5eplQqsb29zbFjx4iiiB/+4R/mf/1f/1cOHDjwnPd72aDpl37pl/gX/+Jf8KEPfYjXve51ANxxxx184AMfYDwe82u/9muXu8uX6yVaFwsyVRiK0aKzU72SaTRwIxFl54MhplrBZRl2NNqNVFEaXa8KYLpIH6V8HzcYgnPY1XVMo0He6Yj3URSSfeVBed3C+Vd5PniG/MKq5MdVK1P/J5QWXUKSokul6YKqZ5rCKhgxK6SIXfGW95BdWJPWYqmE3dgiee21hPccK95jsWDvdFDIxdJubaOCgOALD6FuuAa1vi2tLKUwnSFu3zJst7EPP4Gu1YoLQpFn5xzeUiFkX12Xu+g4k/Nz1SGyeoi64/7d9+J74nHV6eLmW4xbPrVjXXRvjNvcZvwdVxBujfEHOa5RRWUOgoDhtXto3b0FlTLeapvBDYuUPv0geqZFcniB3v6Qiq+JMvEGsmVpQSkrGp7+K1eofekU+WITc36bC2/bw9IfiomlyiwmtYTHNkkOzKLSjP6+iFq2gHdyDTdTxy7UZUS/OGfhRiwmklpjQ4MZpVQf65EcnCWLDCp1qAyUDzqzBGd3sNcconswovlYn6RmGM/46NRJ280To8jhgicBusshTkNWVqQ1GW1HKVy9LGxfGEh7ILeFvi0HLRfeaXDyWAKWp1l1vmTOJfNldGqJWzJWryz4vYzGyJJWDeFWIpNp3THDPSE2CjDjFDVMKG9ayueHjGeqtK8w7PlijM48nFLo1KE7w2kb0NWFpR9cNUO0Pkb3x6hENHwT9svbGZDOVxnNiK7IxBQCeEf5tKZ2xlI7NmDjVTX8gaN6LsHfGuCiAJVZ8gKIOaOm78VpqKxJjh9KgpE3bypT2rD4fRFyW19acllJkZXAH8ikok4UeaZRvsVUEhk6rFtsV9M+bIh2JMzYJHIdr57PGbc0ez76VdAKMyeu+m6yRsAuK/2kwZHpGpDnqHJZ/JWKKVd30RSu0qrIk/RxwxG6XhWtYLtL5/oraf7po+jZIuS1XsWcOE9+xYp4NjXK6CdOv1DL5l/peuCBB57zc5/OnPKjH/0oP/7jP/6cGaCPfexj/PAP//BTJvdvueUWgiDg7/ydv8N/+k//iX379l3y8ziOufPOO/nDP/xDbrvtNv75P//n/OAPPjeJzmVrmpaXl/nYxz72FBHWf/kv/4Wf+qmf4ty5c8+w5YtfL2uavsEqLugTxmk64Vb8bApwLmKoUCLwRktCu00zaU9FsuhNtAmTbczhg6I98AwkKXa7DXCJkFz7Hih9SdSLxLdoufjlFq49LBeMBx9H+x56bpZ87xzmzAZ2u32pCefCHLQ70jrc2kYf2Ed29ASmUkYtLQjNbwyuUSF/6HF4zU1w5/1T7ydaDZI9dYKHioV3pkleK8F9j+6GBB/chz1zXoBaIXCdJq7DNB/PVMpyNz0aY2+5Gm+1TT4n3kzc/QhmZYl8sUkeeZg4J4888sgQnRdGTo0S4gMtwhNbuFLAeG+D6GyHvFbCaw8Z72sQHRcdl22UmbpuJ5kAuSQhW54RlqIWTC+wKnMoa9GjFBd42NDDO3ae+Np9BJsDbFnAoYpz8nqRX1by8LsJWcXHb8eoNGe8t4rfTcnKHv1lj+YTI7ydIcPDTXRsCbfGxHMldq7yaR7PaB/20BlEO5a0pChv5ASdQtxe9vD7GauvLuMUrHymLQHEzqGGsQi7J60fowuwVIAnEN2Tc9haGVvyUdYSz0TCqpQLwXrhSG6NxJh4g1zsFXKHTiz9fRGtL10g2dvC3x6y8epZ5r+yQ+faBt7QEm3ExLOFM3nmyCqG2uNtOH2B3ve8gtoTHWzg0TtSof5EDzVKxRLBK0w4G2Wcb+jvK7N5k8YZAU1BG2YfTti5KqB+OiMLNY1713A7bdi7RF4Np1opb71LvK+FN5DJRBsYULBzVcDsQ2NG8yLID7oZZ98YUjkP5fWc3j5DZVVCkdM6+B2g8GWyHiQzOfhOLAZ2PMprEm8zmlfUzlii7Zy4ZRjNahZ/7y4ZmPA9YZeK4ZGvV1N2KY6fUf800TYprVDlskzQKllvAOxOGz07I+tPr4/evwI7HbIrVvCOnpPPRCniT0//9lP2/S3TNP3GB18YTdP7f/lF1TRNdEwT3dKz1dNpkowxrK6uMj8//5xe75l8lz7xiU/wtre97TntY2tri5MnT/LKV77yOT3/spmm7e3tp3g0AVxzzTVsb29f7u5erpdyTfRIk9H9jU1pHYURemle2KMCFNkkmTJCOgrJ+328hXnyre3d0fzJeHAci/VAcTcp4nG568yPn5yKzPXszC4IovBUushU09uzJO26rR1sv4/L5U5TlyLJhTt7AW/fMtmZ87Ig3f0wHNiHfeU16LsflbvXuRkBPs0G6WIN0+nCdltaZUmCLfKvzOGDcHYNb35OujvG7GZYLc0RnN4m3xZRupmbgXsfFnZMK8gT7PnVi/RX2fT8ekuzMhl4/JS8P8/D9gciVH/iLG5lAXPiPLQaMNPEdXrE1y5hfUVWDqmeGuGvS5s8WaphgxqlB87gmnXUTo9IKXHI1oq8GhEd25SWTzmUvLXA4G/0saGPq3lAJCP/57dxYZPhSpnag5v0rpsj2oxFPD4cMXjbdUSlfYxbPjorEbd88kBTO9EXUXctIKkboq+ehqv2Yzba9G5dBgc+UHrkAmllhd6BEp03l5m/PyNaHTA4VGf7KsPM4zlxw1A/nbNzpcF6mqU72mze2iSpG8LtDBtqgnbM3NcS8YSKfDHSPLEh59e6S3VLE+G3FmbJVkvozoD29Q3+/+y9d7Rk2Vne/dv7xMp1c+icpnumpycrayQUQCARhAzLGDASYMAYIWwWJtmSLCPQkjCyQPIywQuBbSyDLD6bIBBKoJwmT/d0zn375lu56qS9vz/eU3Vvz4ykac0ICTHvWnf17QqnTtU9dc6z3/cJpcWYuJqfDi3oNO+W5F0dZSzKgPEVacEZkaIr5/us3j3H5GdWIEoormT0dlakxaIU3e0F0oLC7VmaezTbP9QQt/HJcaoPr5KOlXC6EfX7V0XhaQzW90hmyngrHVSS0d5boXSlT+3eJihF844ZqscbZKWA8hUH44qqzq5tkB3aNZL9q9SQlF2co2sEg4jo4CxJySHYSFCJoXTVoT/l096uGT+ZYpVi7lMJcd2hudchXLeoTDLjUGLtANKVcjvgtxySioAoZXOTy1T4TE7MSHU383tfAGDtNc9g4g8+v0nofgJlkhQ1VO7yxYm/I7f/NBWwVAixYxXUuii4bK+P7ffRe3bC6gZMjeMcOw+T45hLC/IaX8P6RnEEP3duUwl533338XM/93P823/7b3nOc54DwKc//Wl+4zd+g7e97W2P+3xrLS95yUuuMc/+UtV/XM9AnjBgApiYmGAizxR9InXdoOnWW2/lXe96F7/1W791ze3vete7uPXWW693c0/X13Ft7SoNs+BGnaS1jdH/TTS4BjxlXTnJmWGw65b7gGt4DKPXUJuWA+7UGKbVkfb6FnCFVtg4G7lTm/WGmFVOjKH6fZzJCczsJKrRJj17AffgPsyFywLiLlxGlyXQl7PnMUrj3rAXUw7RF9uYqRruWk/k983WNTEy7q4d0GyhwoDkwDzuWg+bc6lslqFPX4D9u2TfDx3AnL+EMz5GurKKOz9HtrQso5gteVnK9XB27xAe15akdptHxCjHIWu2cOpVKISkZ87jVCvYJEEnlmA9oj8T4l5YhiTBNFs4YzfR3eZj79hJ8d6LxAfmcLsJWdHDW2hAQy4gZueMjCutRfclrDaeLtKd9Zj4wGm8h5uwczvReEjl2BpEEeWPnQRgcMc+wtMr1O5fpr93nCxQJFWPqO5IZ2EipPDQZRov3YPXs6SHd+O0ImytjFUwGHdo7yjgHtxJ0DSEjYx25hJXHcyBGlkgHZ32Nsk060846FT8fdr7qwQtg9cz9GZdmnsVYyfKlBZjdJSH7noaM15BpQa10ZaOw3DSk3c78Tz6+yZo7fQoLZUZe6hB88YaOhkq6BDjzVTGaZkvF3idWeKyxu1L9ymqKtKiS3E1Y7CzLuO8msbtWQqrCf0pT3L01jK8Vkr1hFgJdA5NUD6xLkDV06S1EHetB66GroTR6kEmXKSiS+2hVVaeO4W/rUD1kXVq9y1DmuHGKXY+xG9nlN7/MOa2G4Qv1I3JqtLd8toJ2U27SSoehZMrZIemScouadHBb6as3OZjfLj8IofiZZfahYwkB4tJUdRwaQFUCl4/N6Y0coH2ugKO0lBGo2HDivVDDL0pjcpg5v+dwhzez+Lz6sy/5wTm8AF45PQ1WXJfruQxjw9qJGi7IAuBrnjAqbx7iuNAEKAKBXC02JNclEmIXlPEd+4jOL9O9oxDuA+c+bL78VWtbxBO01Zu0Pd+7/fyW7/1W7z85S8f3XbLLbewY8cOXv/61/PKV77yMc9/4xvfeF2v913f9V3X+EFdT6VpysLCAjt37ryu5103aHrb297GK17xCj70oQ9dgx4vXbrE+9///uvd3HXXf/kv/4Vf//VfZ3FxkVtvvZV3vvOdo+Dgp+uprSFwGFoIKMfHmZkmXbgKcX4lGgKiaCAdlLw75YyP5eoWNrtDOVhQhRD6/WuAlLtvN+biZQDSlVWcSoVsaWWTz+B6YirpeqNOFEB6dQl31w6xG9Ba4keuLgkvYmX9GsJo1mrjTo6jqxU5qfYHKK1HESWq0ZKTb3+Ae2AfrDckjqHbHbmce2EAhRCTB4xmHSFPZw8+Iu89SYWIOjuOWt8gvbokJ/aJMezyKs6u7WTnZYyXnbuwyeGwBnCu4ZEB2KUVUQIBqlbBzI3jbwxI6oEErh6Yw/3MMfkMr6xRy8ZwViTDLik7BI4mOLGArVUw+7fhXFzGBB46TuXiWiuSFlyCq22Ce5YZ3LmPzryH37FUH17FhD7NO6eove8+9Mwk4SMLNO7eSf2DpxhMzhCupTJyOj8gLbo4kSHdM0taEPDj9BJUmnLlZZNiqNgDFBRWpYPkDjROH/y2IQ0VzsAw/7c9Vm+vMP5Ij8YNBarnYpKqS2dewHI71ITrFq8rY6LmnoD4loAsAK8HcdVn1/9dw45XUY22/H2HPCbXxYYeOjZMPtAmqQV09lZxB6JiywKFE1kyT/bfuAo3kvw04yrcgcVJ5LFBMyMac4nLmulPLJNMV3AiS3FxQDQuUn1loDPvMrESkUxICHPpXEu6f67GW+lgHVHL2S0qvmgq4PJLS1TPW8Ye2CApK3oziua+SYJ1mP70Ghu3jlN/pEVW8uHm/agk56oVPImrMRadZFhH4bUTku1j+E0Zl1Y/e4nG83cwcTShsc9j8iFxC9eppT/uYB3wOtDeIRl7Vksor9eCLBTOk9VglYCkLISkoPA7kjmXhYqJo32JNkpTZo+eJjMW1e9f0zV6osDp8WrYrRrly4GIQHIXeNXqSYSKMSjXxToOynVH55Tg2BUoFvBOXhFbgqfrKa2HHnqIPXv2POb2PXv2cOzYscd9zvWCpidTR48e5Y477rhu64Lrlrq98IUv5MSJE3z3d383jUaDRqPBq171Kk6cOMHdd999vZu7rvrjP/5jfvZnf5Y3vvGN3Hvvvdx666287GUvY3l5+av6uv+oSunH/psr4kySkuXxI8OT1DDbbQhihvwksyVfbZgp5ZTLQiLP7xsCJqdeJzt/CZOkOLu2y7bzE5s1duRlpItFAUxhIOOVaIBTLmGuLomcv1LCPnACXBd3YgLTbuPu3ysr0WGVSrICzfktar0h/JGjZ4TzsLwiAb3dHun6BqbbExA3ka9men3MuUs42+fFjsBx0HMzaN+XzL1SCLXcjPLOm+T+QgEzNYZNE7ILl+U9HTkw8rQagkC1ReWly2X5eHPCsrt3F/g+xnfobS+R5SqouOaKC/VtB8muLKKSDBv4JCWN30wJFppk85OoKMY5fYX1F+9hMB2Q1EKyWhHjKnSUYh45jSoUCK62URaCRkLn0ASD+ZKEr1pDvHuKbGmF2l8fx1pDcSmmO+9S/dR5vJUuXjfF+JrebED1fEzmw/Izqiw/fxKdyujGiS3BhqW93cHrCT+nvGBo7pExU3fOQSUZXt/S3lVg6u8Wxc+pl6ETGQHVzme4kSVcle31p6XzUbpqyXy5mF/89gkah2sMDs7KBXGoCs0Deb1WhNPsY5z8M8+pncpAWhQDSJ0YdCZyfatlZEcOpIyrCFdjAVsOOdlcwJV1xA+pdDVh7KEm40d7Yi+QGtxOTH++TJZzwEwpwIY+ab1I8+Yxrr5sjoVvm6F4ukH9lKE/qbjy0nH8liVoQPW8obiakUyUGLt/DZVkdLYLgLaeg3UdlDEjwGQ8B7tF0ZyFEuWS7JmmfKEvI0cXutMuq7d4RGMufsfgtyxpEarnM8pXUtyBZPyZAFSGdJsyMbLUJgdRQ99SKwDL+exRWYS0OpvZlWkqjvO+J+Nrdd2XoNF5ZlTWYNOE+MW3okpFMXn1XGwhkO/izBR2bhJVr6KmJuR3pUVJt7Yh+7hj5ivaj6fri9eNN97IW97yFuItfNQ4jnnLW97CjTfe+DXcsydXX5FP07Zt274mKrm3v/3t/NiP/dgo9fi3f/u3+cu//Et+//d//7ot2v9R1aO9l75UbbUMyLtDo20ANk0EvMRJDpzyEd1QiZavJEehujACBTZJBWAFm4THIYlbCKIeNFo442PiVh0GQtrs9kkvX8H2erJdY9FT43mor0Zvm8WWQlSri66WyTaam9EIvT4qCHAKoXS+ul0wdiRhNkk6AmV2ZgLaHbL1DZxabfR+3V07MCtrOJMTYh1w52Hs2cuoahV1241w/qp02dY3cLbPSien2UVfXSbLMuF3LSwLwfziFezzb8V+6kGcWpX49n2ozMDHHxDgVZEuWNZqCwB1XdT0JNn5iyjHYXDzFElJUzvdx7m8CnEso0LXQVmD7kb0d4+JTP/8OqZWxIQO3dtmyMI5issJUc3FdQ3uQgdaHQaHtxOUy6Q7pnDXOkz85UmyffN0Z33GP34FWy2R3XWTGCamCZ1vOojXzQgfuIDdfYCNF+2hsJzQ2O/j9Sz9cTGRLF011M5EdLcFjP31ZRa+cwdpUVG9mDJ2tIteazE4MENnuzj9xhWFjmHhJXW2fXAd1ewQ7Zth44DP2MkYr2uoXMpYu8lj/HiCMxBCdvmSdDj64w4mNw02voTNlhZ8ptcK6PVcLZekqCRFJR4m9EmLkomn88WmTuxozJH5GneYAYeQwXUqwEinlt6sdCfqpyKs59K4oUD5coK33EFlRTGvNOC2Ivo7KridFJUasY6IU1SUkI4VWXhBkdnPRqShoj8D1XOW9o1j1D+/iH/DFP0pl/F71+jvrlM8KT5cWbWA6kZcfcU2KpczrOvkkS4JaUWsCZTNs/18ydVzW5GANX2t6aV1IRqD8eMprV3iEl65klFYtQTrMY0DBbyupXRVEdUBDU4PknLedVLgDMDtW/qTmjSEHe/IzSuHgoe8W6zCAFwXXSkLf2+jge0/8ZX+NWBJabjtEPrURdTcNIXji9jpcRE15GAII9E4yXwNPzXYxRXSI3vw1sWOQtUq4o129msrYFI8BZymp2RPnrr67d/+bb7jO76D7du3j5RyDz74IEop/vzP//yr/vp33HHHl7z/i/GhvlxdN2h697vfTblcfow8773vfS+9Xo9Xv/rVX9GOfLmK45h77rmHX/qlXxrdprXmpS99KZ/+9Kcf9zlRFBFFmwqNL2fr/g1bjwJMyvWw6RfPW9JBeA2nB7jW/TsHL6NolaFrdyx8jGF3aMR/yk0bMVby3rLc7DKOZRu9HhiLKgTSeekMRh0YpTXKda9R512zOnW0nPTWWxKN0GqPxoU6CGU1n/OEgJFzt3PTfszxM3JCz7eZPXxyk6wex7iT49jpceyFBfT0FLZaxK2UMQ+dwh7eR3bfI7i9CbJ987iuIxEjgH34BLZcBkfj3HwD2cMnyXbNiazZGpzPHsXkPjTux+6XoGHfl45RlqHCAMetkjVbZJ0ujuOga1VUuUTpoowD9UqTbHEJ5ftiFHjPcVStir2ySHDxCty4l97+CYrHl2k9ew7jKLyuITyzSnTnrNgolAJ0khKeXRULiUfOY3fMsvGtN1C+NMDvGDq3zRPVHSY+tkD3yAz2u55FXNFENY2/PEVxJaWzzcU4HjqVFHshTkPtWIvB9jI6tlz+7h2EG5agZejOOLR21KheKskoSMHMZ7us3lZi6t4WCy+ssvyccaY+r/HW+0w+ZFi/sSCAbMpl8uEY42vSoiZcTXASjXEUg3GJ77AD6Z5QkIv6yp01xo/7uA05SapBQlYOGcwV0BkYJfubeQrrQNDIML6iuDigNycRJ3AtWdc6MraLyxIVomw5D6y12KJPfzqQbthCh+6OCsF6jNvoi+dXLBmBg+013G7C7GcjLr8wkH3X0Nqj2PHBCLTG6yQUT6+BUhQfWZZRoy9duXjXhHhGfeESyZ5p0qKLCRwBat1Y/LQaXdTCogQxZxmO75HetAtQJDUfMumUFRct4XJE5ovHktM3+K2E7nwocSkG4jKSH1eSH7cHfktAk7Ji/YCF7b917zVj5q3nA12sY3t9yL/fAO7cDGZ1beT0/egajvC2AiZnYlyAX7NHcsterAL/dAe1tCb+TNvnsIsr0llaWcPb6EOnh/JcvOOXZJSvlXiYnb8qsTpP11Naz3zmMzl79ix/9Ed/xPHjxwHJrv3+7/9+SqWvfnTNsWPH+L7v+77HHRECXL16lZMnT173dq8bNL3lLW/hd37ndx5z+/T0ND/+4z/+VQNNq6urZFnGzMy1bdSZmZnRH+Tx9vVNb3rTV2V//iGXTa/1M3p0DaX8IABrKydpeN8IMA2fM4hkhOb7KFdvZqy5nqyAcruBrSc+XSyORmdZo4H2xWvD9no4s9OkV66i1huky6u487NQLsKGWAMAJHccwD+3DMZg+30wZjQm1IUCynUxzZaAxGFGlSfcluzYadzZadLFfLRrzch4EhDeVRCAAXvDLlR7gOr0scurqBt2Y1yNU62QrqzByhqZVuhaFXP0pPhW5aaczsyUnPS/8NA1VFalFTYH9MrzUBOhXDiUlnFGtoXwnsfJ2PUNOs/dTvVP74Ud2+TzDQJUISRrtnDH6+IPdcMe0qIHjmLt7vnRazoDA75HUlQY18Mru/TuqDH5R/fJ38b00Foz/umrrD1vjvLlmCyQMZNZXqHwgatYYwmefRjnnhOoICCo7Kb8yBrLL5hh6nMbrN9WJ6oqwoalfaBKFircvqWwZhm/f4P+tgpmyiEtQGuni9exTH34Eisv2YFOYPW2KlgImoaNIzW8jsnHg3kXSEF/yqO0EFE8s8H6nZN0tikqly1zn+mjUkPzQJH2ToXbg/qZFLeXsXFDgf50gYmjKW5fYkaMK5wjr5ORBXm2WiZkdb9j6E8HAoI0oCRvbfh/J7KQu7WHqynd+YA0UGRFh/Wbqowfk79tNF0i2EhwutIRlD+ooX1onJXbNMp4JGVLVk1wz3jUT8rndPZ7x5n7tEfxkWVsKcjzBQu5v5SmPx1Qef+DzNzrYG7YJfE4gYbI4HUTrKNxz10R1/ksG3WW6A9w7jkhhqPjdeIDcxSXXEqLKe29RYKNlKVneDh9zcRxec9u35KGSrhoa5ZWReH2ZbTqDuxoxJlUhLD/eIkCqlhBAabRFE6h1jIKr9fJlpblWM/jkIbf1Uf/rstlVODTu2M3AM29HrP//UG89QaM1YQ/5XmyQFtviLltsyUd7IUVcXofKiq1xk6NSScKUdd9TesbMLAXoFQq8eM//uNfk9e++eabedaznsVP/uRPPu79999/P7/3e7933du9btB08eLFx0Vuu3bt4uLFry+DsF/6pV/iZ3/2Z0f/b7VajzG5+oauR43lnHJZiMtwjdvuYx67xXBOF0KydvtxH+tOTZCurI1GbMMxHUrjTo7LmCzv4oziDbJslFVnez1sJCROXamQrTdkJDdWhyTBKZdkRQhQCMlOnxPpf6OJnZvCe+gchCG22ZacubkZsnMXccfHMJ0uNk3R5RLpyuqou6Z8f/MzmKhJsG/+fuy+7XBPQ8aPnS6qUCB75CTuoQNk5y6KOm7nNrJHzmCzDKMV2TfdjvPRe9CVOtn6Bu7B/aQnTgPiY2XOnJcTv9K487OkVxbElmB8TBSJWpGtro0I7sph8zPL/x0qDJXjUP/gKdIkhVpRXJXbbWzOEbPtDrgu0VyF/pRHYTlh/M9OsPHtN2E1DCZd2rumKC5lJGXJe1OZJrr7MM4gYzApXKiJDzeone7R2ltEZ5bqqY6MVTIPPT0pAHF+lqWXzOHEFnOoiDuwNG6ukxTl4mociCc1059vMZgtUjnWIJ0oYgJNWoSgYTG+mC2u370DFEz/2SnWXrYfr6cYjIsKLarpUeyIzp0aBmOKuOYxGB+ncqFP/XgKqSGeKtI+EFJayujOucx8foC/1MYqxUQ7ZvE5FTrzrhDSI4vfykdvoSYpKnQCTmJFNr8RkxZd4po78qqyGqKqpnIpJi0JACqspGShxusaCssZVsPYyZis6Mg4LrOkBQd3I8PmTuPWc2jt0mSBdHlUBm7DZef/WyXaXkUNEvb94VUBOYGHSs0oR9CGLs6VNbxuBbVvJ+0DNemAGUa8rKzk4vQzsa5wHFnIzEwJUPAduLqCcl3SXTO4nZiJz3ZJZspEVY/Mdwk2BBAFazEq9WjulZln0IDetBDkrRLAhIXSUkpUd0hLcp+uVYVw3+vLwqXTFSPKXL2YrW2MLAKy4bGbZehKBe17mEZz079sblLAkNbYfdsZTBUpXGiiuj0Kn+mIyWUUoVptGfnlfC47NYaaHodWFwaRiEjygG8KIdG+GbxGn2iqSKFTJ5n72vgajeobRD33eHXs2DEuXrx4DbcJvnTgbpIkHDp0iL/4i7/4ivlPz3ve8zhx4sQXvb9SqfCCF7zgurd73aBpenqaBx98kN27d19z+wMPPHBdXgfXW5OTkziOw9LS0jW3Ly0tMTs7+7jPCYKAIPhHqop4HB7TECwAPEaxsiWUd3TBRgzTHm9bynHI1hsCNjIY5svpcllOyCursopstsBujgKV621aFIRB3o7PsJ2ujOSSdBST4E5NCnHU9zd9jvKVoVpaE95SGKICHzVWF/dvEJsCR6O0HlklKM8VUFII0Qd3Y+55WKIqcqWf7Q/g4dPy/g/tQZ1fgEoJ55YbYWkNfdN+sgcfIZ0bR83UcXoxNvDwPvkQ3H4T2f3S7TQXr6ALBVG8OfoaInu6ILEpZhCRrq5f83dSvlyYbK7Ks0mKTc0ooHTY8bNRJB5SD56U8+xQup1l0jm86zAqtQTNjGCxjXJdxv7iGObgTpzFDcxEFd0e0Lp1Gq+d4JcdvHZCWvIEAHmWbH6SpOLhtzOKFzroRpv+XfsIr3bo7axS+NgjZDftwW8borpGJ5AGssqtnk9AQWu3h9e1NA5VKF+JWHrhJDOf2iCpeITrGq9rGYwp+lMKvw0YuPz9B/C6ImH3ulBYy+hPCNAINwyZzyi/rTPnUL2U4l1cpfWM7SQlRbiRUbmUsHSnL2quiot/OYWCT1b0mL63z/qNBXpzMH5MulY2B3h+WwBUuDQgqcl4TYDIpmdT9XSPlTtKuTmnw2DCxesZlAEdmdwfSXhCziDD2+iTlXyyoguZRWUpWb2A04kYO5UyfW+Kt9oV1VuSYosB4cWGkLljk3tJheilDZZfsYuZv13GuprBTdI9jGbKeJ0M42uiukPQyNg45FM/lXDlBQHJ99zG3CeM7JOFYD0huLhO75n7JYOuE2NCD43wtwqrhrSgKC8Y3F5Ge3eBuKIoLhvisuTPWUdGcpkvQM0qsYUwnmLygQj34w/C9CRmoyELKUejSgWU52Fa7REh3D4Ojcm029dYESityJZXN7uuDxwncBys0pIbOVTWFgojoDUSqJxqS2Cv62JnK5jSPJ2dBaqnO6iedFCjvVWqn7lIfGBWwo2frqe0zp49y3d/93fz0EMPjQwvgZHp5ZdSrXmex2Aw+KL3P5H6zd/8zS95/759+76ifLzrli78s3/2z3jd617HRz/6USG5Zhkf+chH+Jmf+Rm+7/u+77p34ImW7/vceeedfPjDHx7dZozhwx/+8Mj64On60jU6ocC1IImtN9tr+E6j3/Pu01AJNzypjS7mOW/JDIGZ0the71qwtcUsU+WrTh3mPKbh61gzGhsOVXZ6+5yMsFwPs7AoI4coFqWMtVAsSkCrzU+4uUTfxrGo9rbNYZNU/Jo2mujV3AphCMiaLeFNaSX8oMV1eY2ry2IlkFsKKMfBefgM+sRFzCOnsQ+ckLgTb/MzVK4r3K1qWZRyuV3D6PNMUpyxGjoMRp+9fObpqJs09H8aZnDpeg3ludKN6/bEYXy8Ptr21lFpFrr4y20KH3sElWQSbjw1QW9e4jr0Wku6Fhr0IKP24CrW1YQPnAcloCSt+SgLgzGHjVtrdI/MkRUcVp45jkotrW89TGtfCeso/LZFGUvtfETYMBQut1CZZfavrjDx16cpLiekBYeZ//kgqtWjeHKVwbii+vEzDMYZqbeMD/N/12Dmry7gtyzhhqG93SULFFFVuEsAbl9AStA0uN0UM1mjdLlHYS2jsdclrjh4HaidtRSu9iBNGcxX0LHB6SWMnRiw6y+aDMZEfaiHAbrkXaY4xRlkOLHF7RuaezXFy12qJ1os31ViMCWxJpWHVxh7YB2VWXRk8LopXism2Ijwl3uoxJAVfZxujI4yVJqBo+jNS+ZiuNQXWwDAujkvrzMgnSij4oT158ySTFeELL59kpkPL5LV5W8o7uzgtWN0YklKEndy9Tmu2Dc0YrZ9LGL2U5aoronqmsGYprPdJ9o5TloUPk88XiCpeDQPVVm/yWf1FuEzFZYGYp4agtexJCWxWsh84TG5XQg2JJw3qSicRLplwdGLo+81OWfPDiIwVgDTo7vbw2N/6FP2KO+moboUGClpTZJi00T+n3Mih9sdLo703Awq71KbK4uoTh/nkQvUv7BENFmgecs4gwmX8rk2yZ5p3I0BwfmvsTGzfYp+vo7qZ37mZ9izZw/Ly8sUi0WOHj3Kxz72Me666y7+9m//9ss+/6d+6qd461vfSpqmX/axf5913Z2mX/mVX+H8+fPXuHYaY/ihH/ohfu3Xfu0p38Gt9bM/+7O8+tWv5q677uKZz3wm73jHO+h2uyM13dN1bV0TZwKP8QB63NuswZ2ZHgXMjqTCOT9p9Jz8Ym2Nxd2+TTLhciWaycd515DJH+1FlD9/JMkfEkBdV/LftuyfGvKDts+Tnr+AU68L5whkbHfhEiiNMz25qfKLE3S1LKMr1xWX8DxeIb1wCXf/XsyVq+j5OdILl0QNGAbCvRoad/b7uHt3Y9c2cGemyVbXBJDlflQ6DLCdLs5GDybHZRv1KmoQka1tCDAqFkiXV4RrpSzqlhswDxy/ptM3Ch3W6jHu6cpxyJbFrypryOpd+R7Z2vo1f+Oh1YP+2P2o6UlMmsKVRfTUJI07p6n95cOjc6pyXSqnW+i1FmayhnfiMjZJKX7shHBG7txN4XIb44qzdbA+EJCkob3do7CeUb7Yw1ncgF6fznP24n/uJL7joCbGCD5xDHNgNyxcxf/EURmbjNfJpqs4Gz1mPtOl+8w9jB9PyXxN0EgJrrRE8VQpU76S0NrjE24YnFjiPRr7A8INw2DcRWfgdQ1uOyYrejjtmOLxFZLiDP1Jh+rFlPKxVUgSCVzWiqzgkJZcGvt8sjAUTk5uXKky6V4pA2luCtmfcIirih1/ucr6nROM37dB0LIETcgqBfQghszi9gz+xgAVp2SVEB2lZBWfuO5RvJKbLQ6J5P2Y4kKfwfYarV0eM3+3LC7g1gr4dx3Wbyoy2Y2JaorsQEj9pEXHGaYiooZkooRODYNJD6sCwuUe1lH0p1wmHra4AyvBvU7ORxqAcS1ObHEii9uNScsOcVUAZlRXI/Vb6SqUr6S09hZISnL8FVZTkpKmP6WxCpI6dLdJpy52FKUFg05g/LPLmEaTznfcQeWjmyMRGyfC3RsKSsolATlpuhm0+yig9HjeTSOBxqM75EpvOoznXVmiiOzQLtwTl9ATY7Run6U7O8/UvV16My7lSzHRmEt/W4nSI6v0DkzgDAp8LesbxRF8a33605/mIx/5CJOTk2it0Vrz/Oc/n7e85S287nWv47777vuSz//85z/Phz/8Yf7mb/6GI0eOPIY8/qd/+qfXvU9Hjhzh/e9//5Oi6Vw3aPJ9nz/+4z/mzW9+M/fffz+FQoEjR45cV0rwV1r/9J/+U1ZWVnjDG97A4uIit912G3/913/9GHL407VZI/XaE7QcUI5Durx6rYP30DMpA10Iccp1TKM5igOxo9b4tRlxo9oSwDkESsrNeU3GQhxvvl6+qhidJLt98FxUpUx2Scwvba+32cp3HJzJCbLVNbKl5WtJpMNAzzSV6Jb+YMSlsCtrAtSWV0a7aTodcQ0eEuGVRq2syfMGEc6BvdjFFXHqLhVHHZ7s3EWxTHAc8YzK+Rk2irDtDk7+O9Zg7j2aA8VQRp/5Z6LzTpLp9UbKoq0+VSNive8LhyMn2I/CjK1BlUu4uceVKoSoYhEzVaP+0TNQlBGGHqtjV9awF6+QZhnOekNckx2HdH0Dp1aleGwRPA+vk5IWHHrzRUoLMWwLqD+0gSn66KNnsb5HttHEb+7k6quPMPOZNirJSJ51I+7HH0QdPgAnz5HtmYN7HkGvN2BygqzgMhhzqJ/okBU9jKdRzbY4n09XcSKD3zJ4XUNrl0shH/05sYTlOjF0Z12yoEx3RuO3CxTWyhhP4kSiuoM+MMH6QY+kAjs+2BXzSKXobvfRiXCq2tuFiB6uC/dIWUbdn+qFCKeX0DwyTvVsH5Siem7AYMInnggpnOliSiEm0BjfQQNpySWdClCZlfc0kBGu7ifYwEUNEqLJgP64Q7hhiGcqtHeFTHxuBYyhv3+S6Y8sgOcy+7F1yY/zNM5qm9bts5RPt9Cug8oMldMtVJKRVQt47Ri3J98b42n8Kw3aR6ZwElH3eT1L5WyXLHRp7y3hNzKczJIFmsxT+B2IK1A7l5GUHbDg9oTkPhhzCFqGoCFWElkI4Zr4M1UuGYwLq7doKh8WEUPlAw9vdnqNlYXFvp1w8pzcFsfoyXHM4rIct1u62l8sWuXxANOQAzg8PynPleN+agKUkhDpLKP1vF3EFcXEw4PcYgEaBwKmP7VG8+YxmrdP40SGuOo97ms/XV95ZVk2CtKdnJxkYWGBgwcPsmvXri/JNRpWvV7nn/yTf/KU7tP58+dJki+uHH8i9RX5NAEcOHCAAwcOfNH7v1iQ3pOt1772tbz2ta99Srf5DV1fJrPp0WWNxalVN1VkQ3sCJWox2++TLq9co5zLuj3pdGgl3Ywv4gvllIpyQj28D46f2wRSxsqoLo9Rgc12PIC2Bpt3Vtz9e8VJW56IrtauIVK74/m+K3H6tllGemkBd3wMAh/bakMcjyIX9Fgd01/ctCjIgdCQJ2SjSIz4tIaVdWx/gLtzG/QH2HZnNFKzSTpyntblksTAgPC2ej1RChYLZKtrOPU6NopwDh/AHD87+nzT9Y1rDC6d8SrZRnPUXSJN5XVyYv0ob4vNC4pNUrIVMSDNbt9LcG6N3h27CdYHWD0PD5zEDCIJBoZNE9G921CNBoNn7icpO1Q/ewnvUkZyeEbI0taiEyuRH40+nW8+TPlMCwdwljvM/V0PrixhWh2CfbuI7r6F4OI6yV2H8M4tE919C15zQPNAhcxXAhSApBrgNSOyHVPoU5fQcY3utgLVM10GMwWKy6KcCzcMwUZC8VKH5qEq7gAa+zVJGVDSadGpuFO39ijSggdayONpxcPtJMR1n11/0eXUDxRQmXROnJqiN+VRO58RrMcj+byODRgoXYnQcUY8VWTh+QHGA7fjkD5vlr3vWcVfi0hqPk4/JVjq4lSFC+W0+ljXxboapSyqO8BUQnqTDvVTfVp7C3grXeqDFDKDqZfwOinRrglUZnDbEU43hqLP2vPmmPjUIrYYMJgKCNYinPtOk91xIyozWEeTllzChy8TH5wHJc7qUc1FJxbjwvrhMqXFFCeyRGMOXs/itzIqFvpTmsKqxetmDMZdkpLC61mChqE/qcXSwYXiijDy3QHoRHy13L5lz9uPynekODayExiOqElSOHUeFQRgLXYQYVbX8/BetTmy/xLO4NeApZwSYNNEtpkKd1AVCxAGmIVFEXsc2oX1NL0pTXHZYHxNd17G0n7bEM1VUBlUjzdoHaxvRuh8reobkAh+880388ADD7Bnzx6e9axn8ba3vQ3f9/nd3/3dJ4QL3v3ud/897OX111dmx/oEakj6erq+DuqJGlvmNZS4o/Sog4IVWb81dhScO6wR2Mn9lB6t2BtW1ulIF+eRs5CmOLWqdF08VwBAPsLTYXDNyVQFgUjiXY/s3IVrvaD6A5zpKcmlyzIxrSwUcKZElOBUKmjfJ2s0RF1GHvQ7dDlfXd90Mx8q99gkxAPoubyT6ef8rbUNTLM9AnoCqpSsdkF4HPl7scbI/vcHmJZ8runamqh+Tp5D+Z6EE5el9TwEjbpUxLQ6uFMTI78rPT21CU5zpeJWTlq20cT2ergH9+Pu3E5w7Ar9/ZOkRc1gpoAJHQFvnkvW6Qjna0xsCuwDx3F2bMdvxnidjM6d20m2jxFX5DNISy5ObLFa0bhlHL+RYo+fgW0zcGkBc+wUptVB+R7m3EWCC2swiPAWGmTbJgiOX0FfXqb28DoTHzoH/QHJdAX/k0dR95/AWeugxsfIikJAT2oBbk+4RcXFgZCxiy4m8AjXUrBQP23QqbiEx3X5Ny0KcBo7PqCzy5CFsHrEJx4XMNO8ocjE/ZrSFcvMvSnhOpQXDcpYsoIr/lWuxriKrOiSlF0ufUuFlVsCnD6EK1A/Y6ifsiTTZdKKJ1w6C0k9xOmKhxRKoQcxJnDR3QhTLTCYKeF3LIvPLtLcq2jdPI7uJ2QTZVQ/wWkP8BfbJDUPE3iYgsTd1B/pYMoFslJAuDzAW+1ibz+E9TSD6ZCk7GIcRfeundIdu3WKaMwVkrurSIoKr29xexmVz1zI8+IU0ZiYgWa+OKsnJcn5CzcMftuQhYpoXNSKSUkxmFBYV0BlWpDbKv/7c6Ckq2saAvB1vYaenYI4EbGGtXl32R0d51hzDRcJvninaWsNeU7Oju0C5MfqMla3FrO4jJ6dBq1wTl6kuTekcjmldKVPY78oQ4fqyLjqYh0YzJURZ8mvMRH8G5DT9O///b/H5MKd//gf/yPnzp3j7rvv5v3vf/9jsmu/WKVpyoc+9CF+53d+h3ZO+1hYWKCzRdR0PXX33XdTKDy5UexXDTQ9XV/DenQEyhOIKhgCB9jkLA1J2SP1St7hGI7lnGpFHjdc/UXRNQRn7fvShcqJ39r3pcsSx0Lo7A9wJsZkJLalpW8fxWka/Z4mm6tOaySAdxDJyhbp6rjjY+KgnY/dTK83UuvZSAjW2craNWMvPTMpj+32SJeWBawVCuLp5LrQH5B1exAn0pkaRJv2CloJf6pWHa18bZygb9iHMzcrYGk4JsxJ9joISdc3pMsTy3vKGo0RkNO1KllTLkBUK+I5VS5tdrbKJelElcvoqQmcWhXt+7h7dqJ37cBqTbp9EjM9Tlx1CdcTvFaK+7njMFYbWSAkdx/BLK+gw4DoW++Ebpe4HpCFOWgouDiRJWikhMt9Cot9mvtCSlcikopD5zvuIBnb9PtS+ftJn32Y9efO0TuyDVsK0UfP5n8zi1rZYOXb9mBbHZzPHkXPTGNvOUg2UcZUC+LOHUt3yTgKZSzxmBDTg5Ue7b1FrCfE5/Y2jdtF5O9d8Qjq7MlAweUXhdROyv3KwMJzXXRqaO9QVC4nBC0ZXSVlKF6NcfsGq6G7LZQxn+9gAlGFCWEcetsMaQEa+zTj92+gk7wLttBGRynKWAazJXHeLgVYV+M2+phARj9OZMSpfd0y8bCh9uCqgKuOHB9qkICG0vE1lDFkgUNndxkdp3T2V3HXOmChdVhGnFaJCaWy4HUSVGrp7ihhfOkMurmP0tQX2hSWEoyvWfm2PTixobCcYLUQvGvnMwqrCdZRQsp3Ff1xhzRUeB1o7bViEaEloFfHQgqfur+fd5/FjFaXiuKlFidiYFutCK8wSWXREseY3GZk9F3fYnK5dbT+JUd11shIf24GMzuJ3TGH6XTlnLK8CsbSf84BvK4lqjk4nYjZDy1RXE4JNrJRRE7mK/pTOU/za4yZhpymJ/tzPZVlGa9//evZs2cPhUKBffv28Su/8itPWcPjZS97Ga961asA2L9/P8ePH2d1dZXl5WVe/OIXf9nnX7hwgSNHjvBd3/Vd/NRP/RQrK3JOf+tb38rP/dzPfUX79P73v5+5ubmv6LnD+orHc0/X13Hl8v/NoF3ncSW+gBCat4zFyDPeTH8go6WtF8QtCjfxWMkv7Eq6PENvJl2rynjKcXAnxkmvLsprGIueHMc2WzjVCqqS56vlppS6WoaWdKOkBZ8T0MMA1ZNxmrttDrOyJtvr96XrEieYQYS7bU6iVvrClVJDAruTfya+XOCtsbhzM6RXc/sK7Yzeo/JcOck3m6A07twMNveVGY4sR8R1ZWXUNVaTcV9mUMUi2vfITp0TUv38LGZlVfYnDHDrVUy7g3NoP4OdNQpn18nOnhdu1sy0AMCcHI+xZOcukL7gNvz7zoAxI2K6vv1G1NU18ZMar6OBaNcE/n1nUJPjuAsbZNNVwg1Rr1lHEb3siASsHp4iWIuIKy6Dl9+CMpbS5R7xjTvwNwZEEyFOZBlMuBSvxug4Q6+1WfrmbRgP2rsCwo2MpKQI1jfHgyo/1tzPH6diDuI9ckk4WgBRhGl10KUi4w93sHvmUacuYq4u0b91ltLZJtFsWS5mgXgzZYGSMNtMAE73zhp+x+A1Y7xCSHOfYuyExW9nLN0lpzJ/zaE/Yyhe1rR3W9yuIq7JOGnxWeK6HV5uku0fk/HMhYyk6pJ5Eo3iNyXgtjfjEo0pCquW4qLYDsz/ncVvx7jdlLQuAM9rRaT1AnqQoRNDuNQjqYX4q11MORTHbU+Tljz8tR5uz6V0ISMrehLam4iqTlmDqYRYrdFOiooyvHZENO6jooTy6ZYQnRX4zZQscNCpwWtF9LYVMb5GR4bi1QGDqQAdGdYPeTgxLD+zIvYJyLgyKWncTiYdvaLGb2UYR+E3U6K6S1IVMFW6mhBXHTLPoTsLTs4F8zqG8f/+BZTvEz/7JvzPnwClxFg1TrBJgs2/K1vL9AejhcHjEb4fzV1SWqErFUhTspv34V5eFZBfqYhaNk2xFy7JY30fp1REBQGD2/eQBgqvb3AShT1xFlWpUP5Cj8FN28AOrSs27STc3tdZm+bvod761rfyX//rf+UP//APOXz4MF/4whf44R/+YWq1Gq973eue1LaTJKFQKHD//fdz8803j24fHx9/wtv4mZ/5Ge66667H2Bl993d/Nz/2Yz92XfuzsLDAJz7xCZaXl0fdr2Fd73t9GjR9I1Y+WoNN2fqXqqHb99CkcnihM/3+6LZRWYO7bZ50YXHELbC93mgMZ7NMJPx5Oz5bXsnjTCS3LD19VnyIBpGMsfLXV1qRrW+MuiBDvyIziMjWN+RtOQ7plauj30dAL1+Zpleu4tSqpIvLo9BfXQyEOJ4IH0j5PirLsAM5gWvfJz1/AR2Eo06WLoQCnuJY2v55ivrQ0dwm6TUk1KHruJ6dEiJ4f0vI8eq6kLfz92v7fXSlQjxTBmvFNNNYbBZjri7h7pjHtjqYfn8EZoOzy+K1UyiRXbgk6sFuBKUiyvewy6vEzzpIFjqkN+8WE0SlCK626G0rSr6YFpVU6UqfpOoLKdYIrwWlUFFGOlUgrnsYVyJXSpcHJGWPwfYAvbNA7VxMd07Uc5mnmPj0Mqw3YGKcbG0dPTGObXfE3uEzR8nuvBF1/0nheA3tJ3bM4iw1oD+A2WlYXMY40Dxcx29kqFThJCbPg1N4GzFpwSGZcYnGIK5q/LaP182on5KLe3Ovi9eWLkh/BpyBOFaXLyniqtgZqAxUKpL59sEx3L4RYnlJIkl0Jh2WzNeIkaaldjYjqjsoY3EScQ5X+ZjQiTKsq4imCvgbMmZKyx46drBuHp6rFSZwyEKHYG0gmYT9RJRtRZesUMbbiEgrPm4vIQsc3G6CCV10P8GUArJQkY6VaBwsMvGFNXQvwVY8dGqwSpEVPbx2xmDSxXUFVCVFBUWH0pL4Lnldm4MlcTTXCegkI/M9VAZxzcEZiMWCdaCwbuiPi/kpOIQblu6cIiuA21dkvkMJRjFAJh/jA5uWI1wLjIYdokfHoWytRytKu995B8WFgYAlX2NW8qiVTvcawYn2XJTrjjpYcdUhLWpKV7qo+47TetUdFFYSgtPLBFdaJAfH6M65BE1DUtJ5kPT1URie8voaOIJ/6lOf4ru+67t4xSteAcDu3bt5z3vew+c+97kntx+Iz9LOnTu/pBfTl6uPf/zjfOpTn8LfMgUB2c8rV554VuAf/MEf8BM/8RP4vs/ExMTIJwpAKXXdoOmrNp5TX+sZ8T/2GvKBHuXD9OhSWskYCq4ZvY08hLJslBE3PKmZlVWcsdoIaOkgFP+gLEMXQulUJemmk/gwhmWYH5ek6KkJGY3VRF3h7Ni+qfLLtzuMZrHG4sxMY5IU7blCxGZzZTokXSutRg7Dw1iGIWByqpURP0vPTssIgZz4Xq8LcHM99B03oculEfcivbSQE7H9zf2KBiMF3NbxZ3ZlUfYn35by/Xx8J6BUT4yhp6cw24UjFawN0If2jgjdynFILy0wdHYefmbm6hKm2RpFvtgsw5y/jLm0QO/GWYl5SQxWQTTu05/y0Yk4UGeBIlyOqBxdFcXVQ6cJz6yiPvEA4Z9/Ae+D91I4vohebQh5N4Ms1ASLXQZTAf0pOTayQNy7i0sJcVkTrkakp8+RNVuYhnTlKIQMnntIPjtrUPcdH3FXdL0mgcPzFXmsJ55b1hjSoqawkuB1EnSag01fiPxpwUFnlsJaRv10ht+G3pRDY7+H8UTFlXlg88NcJxCuKMINIUAXlmHqXsP0/SljJzOUhaiuWT/ksXx7wMrtMubqzDsoI8CiuUcTlzWZr0bRLc7A0Nrjk1RdunMezX0hGGTkOjTQV9IZS8oOJnClS2aE72RdjY5TTMETq4K+dHeykic8Kk/jDFIxulSKtBaSFV1xYzeG4qp0IG0gYCzz9Ujp5kQZ4ZqMB9NC3vnTavQeoprG7WakgTit96YkpDgLRG1otRhXZqHGiSx+M2XyvjYoRW/aobBm6M9luD3hjVXPbwKWId9x6Mu0lQqgPRddKMjI/lEXvuFzR3zCLYszHQY4O7dRPtPGXWzQPzxPFjqSM5mfI0ZjOsAkqXTGd2wD36Mz71C6ErN2cxldqVBcjAmOX4VOj8GOKjq1FFYzvHY26sB9/P/+28fs399rPYWcplardc3P1vzVrfXc5z6XD3/4w6P8tQceeIBPfOITfNu3fdtT8pb+3b/7d/zyL/8y6+tfmQeWMeZxQdfly5dHqrwnUq9//et5wxveQLPZ5Pz585w7d270c/bs2ever69ap+lpIvjXsKwB5Y0AyJd86JBTMIzrGHKLthysW20LnEpFJPggz6mWUfUaqtGUrKec1yLjPCMny2EkwvwsZl08kEyuFDOdLu62OWh3ZMVYLEr8w/B9AO7stORTaSXKmMsLuWeUA2mCMzGGHa9jTp7BKRVHYGtEJs9NN0dqvCxDVyvoHAyadlv2JRrgnLuy6WfkOKCEh6Q8d3OMOeyEOSG43jXWDMPXw9Ho+VmRmq9sCCE2TTE7ZiA1OP1UTA2NI9Ew3R5mdQ37zFtQZxagtRmUrCfHpbOXd9dMp0v6wltw2zGFyy16u2sEf/E5+PZnomOLcS3RREBvNqR8oY+72gbXQa01UbPTAkZecgfuh+8VBZ/jsHGLxHEEzYzS5QErz6wTNkRSbrVi7ERPstgyqLzvHtQtN0j3Kstwdu2CzECni9VTrH/rDSgLteMtdKsvROeHTqNrVfpTHjqbRKUWb72KPX2B2qku/ZkQPzHo2ODGGWnBwUmsdL1W+2Rekd6MS+VKyuphF78FlYsJWUHT2w7jD2naO8VJPK7DYEJRPQtBy9Cf0lQvGtzYYFyHyoWUcF14UWlRIlDGjyVEYx7hRka4Ibl4wUaK8WREp6OMworEt4SNLAcdGusqkoqHDl2SsoPVDmlBk+0sUL7QR8cpSUWiULKih0otpig8Gq8rYzYA5Sp0LEDXKkV3W0jxaiSZcr5EspBkZOMFrKsoXO2RVnz5G+gcnCWWoBkTrkona+Ogj9+2RDVF44AnUTAK3Ay620OcgaH64Aobz5iWHL7MSPesLpcFZ5CSFqE/oQnWJJvPavA//rD4IQ2/J74/4hUqx0EVSqOO9bArqwuhiB/yOBXt+6jAJ1tbH3EBnakJKIiCtX3LDMXLPQYHpkgLmsonz8DcDNn5izhzs2SLyzJ2h5Hi1240iO7ch9+2+MttKp4ivnkX/rFLwrs6sBOdWAaTjmQHIp+H+jKd+H9o9WgPoje+8Y38h//wHx7zuF/8xV+k1Wpx6NAhHMchyzJ+9Vd/lR/4gR94SvbjXe96F6dPn2Z+fp5du3Y9xmfp3nvv/ZLP/5Zv+Rbe8Y538Lu/+7uANGI6nQ5vfOMbefnLX/6E96PX6/F93/d9aP3U9IiuGzR99KMf5UUvetGXfdxf/dVfsW3btq9op56uJ1FbSd+j37PHqNoerx7tyzR8zuh3pSXPLVd2yaYNdr0x6o7YJJXuSjSMYenLeA5IFxY3QcVwe1FEdnURXSyOPIhGgE1pnFJxM1SXTXuDUavfcbC9PmZtY/P1alWJZcnHbZsdN3kfQyPNoRuxc/gA2dFTuNNTmGZbfGRWVkfdNR0Go8frWlUcjvNsO/JtO/t2ifdTqyNdpUp5MwaDMdQgETdzbx5tZVzmXlgmW1omA8xzjqCuLsGnH4Qb9uKmmXBYigXSC5dwbrwBtbqOnRzHnjmPt95Ht/rY0KN0/xWYmyXOPYZQivDPPodz037MiXOwa7uQ2ReXsM86QlLxiOoO7nfcRbgaM5gKxBSxrIhqDnFZC3eonVFYzujOS6xIWtQ4A0vz++5i/KMXsIUCje+4mdJCjH9+BWpVejMuQcuIV1Ho0TogK0K9/RYyH6K6Igt83AGUjcV1HNSpS5TPe2y8eC86gcrZNr0ph7TgMv5IhL6wSLFRofCZBnbfdtx9VbIQ2js9WrsV5QtQOxfR3B9gIsBC6QoyTloyhBv5sRNqylcyrKfQmYUUrGOxCuK6R7AeYwIHq6B+Wgw2qxdiyXFzBYhENYfaKTn2TeBiXAFOWUFTutTFKoUJJT7Eehq9NqDYHhDP10iLDn5DvmPG1ajM0J3zqFyK0LERcNSK6O8sUVyKQSkGUyGl46sMdo9jqqHEnVzqoNIUMx6ShRqVSI6f2zMYT9y+nShDZRBVhcgetPL3WRGn7zRUFFc1K3fPUFyRLMLBmINOpTMWjblkvkdpUfyZ3C5EdSgubgpF9HC1P4zHcLRYDOTdaXHZ16icpzfsuKpCSfzXHC0LhvUGBL6Mq6eq9GdC+hMOjf0Vxo+nVD55RvhS+XnBTNdRK2uosCiK3kwI5nrnNtrbPbyeRTW7hAai7VURW2QZg5niqBvj9mT0alzwel/ytPj3Uk+lueWlS5eoVjez9L5YlNif/Mmf8Ed/9Ef8r//1vzh8+DD3338///pf/2vm5+d59atf/eR2BnjlK1/5pJ7/G7/xG7zsZS/jpptuYjAY8P3f//2cOnWKyclJ3vOe9zzh7fzoj/4o733ve/nFX/zFJ7U/w1L2OltCQRCwfft2fviHf5hXv/rV/6ACcFutFrVajWazec1BBfDN+nu/Rnv1VajcZ2gEeq7D3HIYpjvczvB5jwZSTm7EqHx/U66bGVQYiBdLzlPamgc1UuUNpfyFENPr4R7YR3r63MiDRU+MCflzmG1nLO7kOKbbyztYqXRxigHZwyc3W/uOlmiUiXGylTWJMtlobr65/L0442PynqpVsssLctvsNLbRHDlzqyDY4tPkb7oOg3ClqhVxCB920fbtxly8jElS8YTSCjM/Da5GJZn49FRF6qqXG5jVdUwc485OY+YmiCYL+E3hUOlHzosSsVKRi4nnkl68grtjnvTiZQle7vZwbtqPilLibXXZrU88MOJeiW2Dov+Sm9GRwTpCdDauwviaQV3jdyxObIjLOo8zUXRnlZgcljTV8wOWnlGgvGAoLsY09wZMfXwZUw7g6GnSZx8mLbnENYfaXx7F3rCL7s4SUVUzdrTD2q0VMUG8kmIchdvL6M7nPJqqRLBUzw1w7z+N3b+DaLpE4QtnsdumWXreGH7b0t6uKC5bpj61yuqzJikup0LUnnYYP9rlygvLWAdKC5bOdkVhWcCS05fRnTuw9KcU9dOGYF3UaSu3BARNS+mqmFo6kUEnBhVnKGtJqgHOICUrujIWApxBRuZpnEi6hDpOSasBmS+3GU9jHYXbTYjGfXRiCRe6NI7UqJ7to9KMtORjXSXdJk/htRNM4KAHWa7U03jtmGg8wHgy5isuxbidBOMJxygLXXRs0P2EtBZgAhnRGVfhdRLxhcrBc3NvmFsDSF6clcYpEw92aRwsYvK8tfqZAZmvyUItEStWLAhMfswMxjXGUfTmYObzCcEH7x8JJpSfq2bLskhQSsvCZXxMwFQcS7epP5DvtbXSkQ5kLJetruHs2gHdHq3n76V0qUtrXwmUonyxjwkcgtPLcvzv3YW5urTJM8wXLMNzUOtlh4kriqn3n5FQ4MMHZOzsOthmG1UI6d26g6Qiqki/nZGGmqiquef3/s3jng+/1DXjqajh9ve+4dfQYfiktmUGA87+x19+wvu6Y8cOfvEXf5Gf+qmfGt325je/mf/5P/8nx48ff1L7cj31nve8h+/8zu98TCcKxHLgf//v/82DDz5Ip9Phjjvu4Ad+4AeuyzYgyzK+/du/nX6/z5EjR/C8a41M3/72t1/X/l53p+nKlSv8j//xP/jDP/xD3vSmN/HiF7+YH/3RH+WVr3zlYwhbT9fXoIaACa4hXlqzpQO1BUA9OmrFRAOcmqjBhqaLW7tNOg++zdptuUD3+0ICVwqbGfEuqpZhGF/iONd0j3ShMPJnsbHI7+3VpU3ulVYCwgohzsRYHvzJKHjX2kg6PplBtfu4u3ZIDEo+AhiODWyaiG/Q0APGc0cr4GyjidIKp1IenfztWIXs8hXpimk1IsNbI4Z8TrUijuFBIMq2wBfFzsw09HqkZ86L5UG9Rrp3fuTVg7W4HYutFUkrAf5iS8Z0Q2Baq2C1pnChIV2ptTb4PvbATuzJCzA3iVprwrOOkH3+YdyJCdL1Ddwb9kKzS3r5Ct66gMDMWKxJhUM2kGDf4M8/hy4U6H3LLURjcgyUFiKCNUM07uM1E9IgIFxLSMsOOtW4PSNeTTtCtr9/Beu7NA7XmPqL0wxu3YW/PiD6plto7hV37dJyCru3Ye9/hMqlcXjuXho3lvG7Bh1bknwEloUat2/pzMuFefxPH5LjwvdpHK5JR6TfR19ZZvZ9q1z6oQMoC+2div7EFNWLhpXbPXa9d4niRZ/GzXVKVyX+xB1YlFX4HUOnpgk2LKlW9GYV2z8k3LqkGmACzdSDEcbVxFWHwlKE9TRJ4BKspUKgX2gSzdcwrsbtpLitAcm4nKSdfkp7T4HypQHNvQHVczFJ1cUZyGjRaceUWhH9HRXSWkD9aBPd6mNqRZSxJEUXr5OiDAymQ3FdL3s4g1RcxYseKrMEnRS/kWB8h7ge4PbSUffKGitiBk8+R7ebkBVdVGqFl5SJAjCuKfQwychCkl+T146U8LqignMSS3vHUA2pCVqGQd0ZEcfdAXhdi/Fg7KQl+Jt7RQASx/I9QJo3ptPBmZ7CrInwgSTBRjF21zx6YRnllUeO/UordFaEPdtxCgWyyQrq8gLVT5zl8j/bT/1cRrA2YPXWIrMf36B9xzwVzyOdrOAsrchI+OYbMI+cAddFTYxhK0Wqj6yjOn1slHfMz17CAmp2Wr7nk3UGky7OwBKupVhXEa4mpOE/zutWr9d7zMjKcZzHqMu+2vUTP/ETPOtZz3pcw0vXdfnBH/zBJ7X9t7zlLXzgAx/g4MGDAI8hgl9vXXenaWvde++9vPvd7x61yr7/+7+fH/3RH+XWW2/9Sjf5Va0vt2r4hug2bRnPDcN1zRbfI+AxXaeR6/eWGtoOjB6/xSX70aM+MXjMO0654aQqhGS5im64bSFHe8LvgZFp45Aj5JSKI9Kw7Q/Icm6TUyrKWC4nXw9z5QgCCHwZew0inKFBZBSB645iU9TNB7FHT43eyyjeYUh6973RY4fmnaoQYjpdnPkZzOJyPppMruksDTts5spVdLkkCrLDNxBPFLGOyNHjeoBOLE6U4V5elfGFMeIHhXT2VBhg9+/A3HtMukcbbexEDdXuYzcaclEoF1DdAfH2Mdx2hF5tYitFzIlzmzEr1uDu3C5drPxvF3/rnSRlB3cgRPFgI8FpRUSzJZSx9Cdd/LaoiIY8j+LlHp3dJWr3LmLqJewDx+VYCsTd3Bkfw3S69F9yBK+V0DhQIGgaCssRvbkAq4U4bhzF5H1NVJKxducYtdN9dJzROFhGGShfiXBbEcvPFD7VzEeWsL6DPXeZ9stvoXKmhQk93KUmCy+fJxqD7X/bJwsddGzozfnEZU17N5Quy/goaEg2msqgsAK18ynh5Q7JeAHjKZQBZYWjZAJHpPaNCOs6DKYCiufbJJMF4opLYWlAFrqozIASzhEWGbv105GVQHOfz/jRHtG4j99M8S+tM9g7SXhB5oLWdRjsqOL2UrJQCOJZoHLZu8VrRCT1AB0LUT0LnRHnzemnRJMh/nrE2s0lpj+7gfFddCRdpbQayueRigO42zMkFYeoJucBv2NICsJ7Mj7MfHyN1WeME9cUzgDcviWuKrJAlIWlReFrDSNrgo2UtCDE8cqf3z9yoh92r4dO37pcgokxzLlL6PG6fAdzgvao2/2o0r5P9oxDEmrciVh68QwTD/W4/KIitXOW2v+5h+ibbiH87CkGzzqA/5EH5HmFUGKR4hinUqH5isPUjjawJ8+jZ6dEkDHskAcBetscphjQOlTNx5KygEuKwmvzeoaP/b/HJ4L/vXWaXv9rOE+y05QNBpz9lSfeaXrNa14zMo48fPgw9913Hz/+4z/Oj/zIj/DWt771Se3L9VSlUuGBBx54XNB04sQJ3vnOd/LII48AcOONN/La176WQ4cOPeHtj42N8Z//83/mNa95zVOyv0+KGXXHHXfwS7/0S7z2ta+l0+nw+7//+9x5553cfffdHD169CnZwafrOutRgOjL2Q0MnzMM4x3WyF9nuL1ht+nRr6G0XLAdZ9R6H4615O7NWBBRvWicmSnp/OSKsdE+1KpiDRA9Sp0z3M0sGwGpdHWd7Ooi5uoSulzCnZ3GpilZpysALk03uUgPn9jc52HQbg4ybJaJE7jviyHlzTfIbZPj2DQhu3JV1IN5180+7xYZK165Snr6HObiFdJnHCJdWUPXqsQTRYnviGUc47UTdJLhnr5CemkB2+mSLi2j7zg8ek+qVsF4DvqOmwQw1SqoQUK8c1yAme+R1EPSqSqDSZ9osoCtFImnKzjTkwxefARz963oQoHsylWU1kTffhfpS+8ArSheHVD48MPoxOI+dI6NW2qEl5soYwkaGYVLHbyuofyho+LnNBVS/cgJCULOhMc1/Oyd8THiG3dgj+yn9Pnz+BdWqZ8ZUD3ZxL+wSmE5we1bkpKiuJKilzZoHBkjaBr6MyHO+UXqj3RAQRY4rB+p4nUt0x+T6BfVjRi88DA6s6zdVsO92iCbqjL3vx5hz58sC1n71App0aF2tCEE6PywLC5Z0oIo5sJVmHygh0otg/mSjCcTK+G4BuIxX8KCV3rSJdXCcxlsL5P5GrdvxJpBC0gajuvQCpUYujuLxDUfZS3Vc3K8Fq/0GEz6mFoRrx2TTpYxxQBTkVGp00/zDDxGKkVlLdYXiTwgdgaDDOPJcZ8FDmmgMJ6muJrRny/jbHSwniOmmfn2orpHcTHCegLIiivZyItoaGIZ1UA1OiP7ibgCSVlRP5UI0A1BGXJvL+kOJiUHN7JYVxY5g2+9/RqBxXABZDpdWNuQxdKOqVGE0WMA01Cckitq3QfOkJV8GndOETQM8ZiPjqHyns+ipyYJPnGM7KbdeB+8F2f7PM7stCxwikWcW27E3Lib+gdPoRZX5bUvL4y+69ZY9PQUJCnRbImorknKisxXJAVNf0LsJb4unLSfQvXcE613vvOdfM/3fA//6l/9K2688UZ+7ud+jp/4iZ/gV37lV56St/Rk633vex8333wz99xzD7feeiu33nor9957L0eOHOF973vfE95OEAQ873nPe8r26ysCTUmS8H/+z//h5S9/Obt27eIDH/gA73rXu1haWuL06dPs2rWL7/3eb4CuzT/gGpGlt6rgtgKYYUzKFr7RVoCiXG/UBdpK3P4iL4bt98k6HeEV5UToIb9GXiA/ebqukLTzEZ2JY1mlKj2KNMlabRlr5VEoWbeHu2fn6D0MCevW2NHoL11clliQXOKvDuwWCX2xeE2aOsjq0xorq2QQHyitMKfOYU+cxRmvk52/JPyqYlE6XMWiXCg+cT/cuBdu3CtS6lIB9/PH4dlHYNuMAKROkkvNLU6rj7fSId07j77lEGp+Rj6XPLjX2b8bW6/AZx7A3HuMdOEq2fHTpKfP4X7hBFmjwWB7DbctY6TyuTaFh6/Q21vH+dv7sGMVgvUI/8ySvG/HQZWEr+IMMoKlPr3ZkOj5N1E4L/yu6rk+0VwVf7Et0veST7gyYOOVR/BbKc7AoOo1nO3zqDMXJZ7FWHGA933xLVpYJ9s9i60UcT/7CGq9RTZTx/gar5Pht0VGv/idu8FaujMOmQ+NF+2jebBMf1KxfqNHNCY5Z1xaIKsVod8nCzV+K6W4ktE7PINzfpH0pl2kYyXiqkPj2XO0t3u0b6iLweaGXPC78+K35Pahu8OycbCIjsUsMxpzicZcFp4b0J/x8FopSclhMFtiMB0Sj4kSzThgcuCBtfSnPLyNgXgwRRlpyUWlhnAtIdiIUKnFyY0t07KP25VjrbWvxGAqEMCmtQTqGoPTz0hLDmmoxZk6ykiLLn4zJanKaE5HKSrLFZaegBfjO3jtTDIEi3Lc6n6CTgx+K6GwNNgyblX0x/NOUzMVwKNlRLfwql24kaW4bKlcsYTrhu68ixNDUhLrhcG4R1zRdGcc4qq4g9v8u5OUZbtDLtHwvKHrNaiUUYUQ7j0ugdpbpe6PWmgBOOUSWaeLd7VJVBVenY4NO//gpJwvqmXIDM39efTPpcvixTY/Q9ZsEU2X4J5jYnvR6og4Ixd3WGNxyiVsQ4758POnRQnqkINn8Ds5gP1aezR9japSqfCOd7yDCxcu0O/3OXPmDG9+85u/bmg2P//zP88v/dIv8elPf5q3v/3tvP3tb+dTn/oUv/zLv8zP//zPP+Ht/MzP/AzvfOc7n7L9um5O00//9E/znve8B2st//yf/3Pe9ra3XeP4WSqV+E//6T8xPz//lO3k03X9NRqjPe6dZsuvelNdtvX2LBP/JqtGRpM2jrFGbwb6DgndnruZg2bFnHIY6qscB2dsnHRlNQdyVro4ueO2OIuLt9LW8ZdNUrLlldGIMT13EadcQo3VIIox7Y6oYtKEbKM5yrEjDMiWVlBXV0ZBnjqWyBOnXpET7NDSIM0B3ZZwX5uBXVvH2b0T2h3M3BTK1diHT48uFObeYyOivY1bMgIYJCNDw6zggrG4rQgVpaRnzsvLjNWEjzQ/R7Ys6jyabex6A3d6imxtHfPc23GPnpe09jRDDyIya8nKAVngkJSLZLvKYv4YBthzl3HqNXq3bid7xg6RhLcyKo+s0TwySe3hDsqWMIEmnSjitUvEdZ/+hENvZgIUjN23hvVd6g810QvLMDFGevY8ybfchdubwG0OUEtrUK0Q7RiT7kuthLPWoXvjJPGRWxn7yFmygoffiIjGAopLKX4jIg1LZL6ieiGhtdujej6h8PFHsK86QlKU2I7OnKaiFM65BaJbduM3UoKL6/TvmiEpKtRtu+hsc+lsU3htMEHO1dGaNBSXawC/KcAgqkHhqnSP/OU26zdOkhYhXBd3b+Mq0oKDsgKQdGKFS4f4MSmLeA16Gh1b+vMlgtUIZS1pEZJ6QLDcxXoOcT4SA3D6Cd5al2SixNg9Kwx21uW1Kt7owhyP+SPyuTMQXtmQu6QsQuJWotTTqcXppdiyh46FY1bt5qNtLUHAAHHNw4kNwbosJsZO9Eaj486OkNLVVIj9Fyz9cVFAxhUBhmlR4UTSYQo2xOfKeIrxo10aNxRRFpzEUv3/7kcVClT/9F709NRo4aO0QhUL2HoVe+FynjX3OCAkH+8rN5RzxV1HGEyEFO49x2DvBOPHeiRlD2eQke7fBqvrqHYXVS0z8YHTZLk1ilOvY9cbmLtvJfjMcazvy3kp45rF0dCB33R7mEuXsc+8GSeScSRKVIV+R8xdvfaTS71/Suor6BQ97ja+gerq1av80A/90GNu/8Ef/EF+/dd//Qlv53Of+xwf+chH+Iu/+AsOHz78GCL4n/7pn17Xfl03aDp27BjvfOc7edWrXvVFpYyTk5N89KMfvd5NP11PZX2pvLmtnCRrBDg50l1yJidIl1c3lWbTU8IvarY2lW9pOuI8DTlTwy6VGUSbfkbWoLSbg5oadhBJF6nZxN23h/TshWt4UiOy+RYjSZTGmZ0mvXJVfF86XTHQ3DZHdu6ivB3H2QRxuct3ttGU9xYnEqibP0YNfZXyLtxwhKccB71llGDyiBW94oLvQ70qxNYo2hL/kI34FTx4AnXLwbwj5OAst0jn6qjczRxrUEpjn38b2WeO4mybxSyuYCdqsLYuFzmlxaRy1xyq1YdBBGGA9/GHQGmSFx/Buir31LF0vu2WkUePk1hK77+P9nfeIXlpAAoGO2qozFI838L6Lusv3CmycgNhIyMpaLr7xyhe6qDOXKD9zYdJSprStirhF87Qf84BBpMB6c11Slci+tMeQSMjmSihE0PxXJOgEpLum8fpJwymC3idFB0bVm8rM360R1LxaO3yKC4b4qqD/aabqJ4bkFQ92ttdVAaL//wISRmwUFy2tHfOMvl3C+C5LHzbDOGaJVwTd2+/KR2DwQR4behPCR/H60A0Jhf/5g2W4hXFynMmxbYgyejPhBSv9unsCFHGolMBKNYFlVqGwbs6yd22tTiBu/1MgLAGnYnhpvFd4omQcDnK3bt9VGogs/gLTYm8aSdkJZe06JCUHYmHSQxBR9R60YSP8TQmENdxr5WQFl169QLBWoyOUtKyL6ICoHaqQ1INyEI5bXutCJTC66REY550ylzhbWFFGRk0MzpzLrVzEVYrOnM+aUEAU1yVDpTVUD+dsXHQyUd0iu42IXlHVUW4IR1ht1aR3MVcZarLJbHWCHy4ujwa1SnXQ5UKECeYfh93xzzZwhL6wB5WnjfJ9IeukN1/nLAQwngd/5PH6L30ZoofeBBu2ktnT4XqjnnSbRPE4wHBB+4Txavvg+tAp4d/6iomy0Yu/8PO9eYpLv8OpCnOzDSt+QLlywlpURPVRD3Xn5THBKtfuWv1U1VPpeXAN0p90zd9Ex//+MfZv3//Nbd/4hOf4O67737C26nX66MMvKeirhs0ffjDH/7yG3Vd3va2t3HDDTc86XC8p+urUI+zErSpgAvT2ARHJkkxi2IqKcGc/bz1LdwkyDtSQTgyyXRKRbJOB52H8EqHpy45UWkyUvKlZ86NpPPKcdDlMlmrPRq/OWM12D2PffDkKDplSD61cUJ29vxoNGDTZOSxZKIBenoK1e6gahWyhSWxNTh0AFMULxh3cZ1sZY2hkzGO3vR/yoHXkEg9IohnmYC5G/djclNBb6OPPXNxtG86NZiiLzyUfZMEFzagUsbJjGTTTY0LuXfXdpK5GnqmThq6eEEA9So6STBfOIYer5OurI3+NurOw1hXU7jYRGWW1k3jow6JdSFzNDrNSO4+kjteO0R3TAogUBBXNI0jY+jYiqfScpuN2yfoTTo4iQCQ9r4K6c1HUEZcvwdjHs3vvhEnsUx8doXGbZO43YQ0DCnmY6O45OIrRWdHSOYr3L6lsByR1DyimsPEg12y0KV4cpXu3CyV4+uYQsD6LZIsH9UcKhcT1g95bP/f4szbeeYulLFEVYfWHbNkgWL+Ty9AIcS6Dpe+fZK4Bpg8PDaBykVEnecrxk4aOvMO5UuK1n6D09WkhYDaOXHM7uyQXL206GC1xKWMvgOeFiVYDkpBQoOz0MFtJ6gUVGJQqcW6Gn9tgDIGZQzuioyUcbSMGYF4IiBY6eP0xKAyGhMvKOto0pILFvxWitvJw3I9B2eQ4W8MMIFLWpKRoB9lqFRex1/pYUq+7Hs3wngCuPxmivE04UKXtB6CEi+oNNQUV8R9XGdWQOlSwsrtPnOf7HH5JUXCNdg44JBUQMdQWLEUFwdsHCzidS2FlQR3agI7MYYaAqab9sO5y9ieiBXIO8LWWDi0F5MLL/ThG+juqlAqFkiPn2bi1DmoVaXrNFYju7yALpcJVyI6r7hVjusUogMzON0UlRicbbMwiDCr6wxeegtklvCjD21+/5N004/N9UZk9XR1Xc4njSbhakxne4DfMTgD+RyiugDMD3z+jU/ZqfXpuv7atWvXqPvzZ3/2Z6Pbv/M7v5Nf+IVf4J577uHZz342AJ/5zGd473vfy5ve9KYnvP13v/vdT+n+Pin13JeqL8WI/1rVPwr13LAe1Wl6dBhm/p/Nx1qDOzNNtro2UkkN7QiGUQe6UiFdWxOLAcfBDiJJMR9EssrMfZKGGW3K9dC1iozRokjUasPolVpVsuby7pI7PkbWbAnwOnyA7OETo/HeyK4gDIQ7UQhF0Zamm2NBGLXvSVMJ5s0y2YdCKATxfASpi0XwXLEk8NyR2aVTKoISuwFdLmP7/WsyroaflXPzDWSVEHexgS2FqOV10uVV6YDNTpNO10YKK2elQTo3LgTkzOJcXJSA4YM7cdY6WM8lnSzh9BLMvcfkfQ4VgmGAqtcwa+v0vuUWSmebdPdUKT+yhi34EtORZLQOjZGFKh/72FztJDJ8r5Ph9kWC3pn3mfjUImhN87Yp4ooYH4YbBquFr+K35PegmWK1YjDhUj3Roru7ghMLN6mwKlEfcVleJykpVAZB2+B1DINxh7iiCBrSuelPyO8gAE1lucliQX73elBYM7R26BEv1+uDM7D4HUtrZx5TE0K4Dr0ZeZ50VKBy2dKbVvhNGSV5HUNrt0NShomjhrXDmp0f6NCbK5AFsq9+Oxt5Eg3BhI43R3NDwGlzxV24IAo8t5OguxHJZEk4RzkxXFkLqcmtAPLj0XFAQ3+2gHUUziB3uO8K6BSLAAevnZAVHPylDllFFFTiy2RyWwFR2WVFF289D9A+t0B0135R3o0FdGc9vK7B6xrcboJ1hp+Zg/EVmadIC5rCakp/SmT33TmNE8NgTLoUOob62YzepENayDk/WkDk1B98AQ7vx9x/fPRdVZ6LHqtjVjcBPkpj7jxEVnBYORJgXdjxJxdJdk7inV+BKBplTOrbb0S3BxBF2E6X/nMO0B93qJ/oMJgpoFLxutILy2TrGyjfR2+fh1Ybs9FA792FOXthZEKrtMLZNodZWiW++2b8jz+MTROxQpgeZ/32Gn7L0J9ymLyvjQlcsJYPfezffdHT6N+Xem7fLz816rkzv/bE1XNfj/VEXbuVUk841+7cuXOkacqBAweuuf3UqVN4nsfu3buvax+fDuz9Bq5Hp4hfkyz+6G6T0uKJlEcaDB8/VMe5U5OkK6uS09Zuj8Zc2vPI8hWdU67LyTTvzCjHIV1ZwxmroVwXXSlLjIKXOwXnq0KsEVCVK9RUozMCSzbdwrNKUkyzha6Wc9futcdYLGSNhuRdHdpHduy07MfUBKo/GBnxDaNIhp/R0H5AAFwe1dJqj7KxhsBMuR56zw6M7+I0RV2omh3ig9vwZibISj6q0UcnGfQT9EYLWyri9GJM6EpQ69553LUO0WSIrvgEnz+F1yxipsawz78V57NH0Tu3kdUK2PtPouIYe3i/EIxTCbLt7xFfprSUh8J60jGxWmEdqD/cxJR8onGfwYSLyhy5aMeWzuEpdIYorZyAuKzpTTtCxrYSiGs19CcC/K4lKSjWbquhUwg3MjJf0Zt20Ymkw6PERBKgU9K4kRbFVh4cG9XlPjORP9ZlJD+xWoDPIBTA5nUg8wEHvI5svzcloCWuyVguqkGwLhf5pAzhGjJmsVC9EEMei1G9oPDaKXHVZdvfDRhMy0guDTXuQEZxWaDQSf69gJGqbHQ8GXCbCc4gxQQeTj9DJRmm6ONuSJdJHqgwvptHC+U+Y5klq0mnKFyNSYvuyIAymgjk76WElGwdJeBnooTTT1BJhh4AWmMUqEwc1nUsHSfrOahaBbcr4b9uJ6F6XgjlWajRqUN/0sMdWNxuhtWaYCPFiSWL0OsYjCfHSuYxAoqlRSNjwr44jBtHrAicCDb+6Z2M/fE9I3PZYYfHrK6B615jKuuud+ncNoHOYOqePtnsGN6Jy2QbTaKX3Y6/FuFeXCZ74DjMTGO7PTovPoRxFZULAxoHy9RPdCTYOUlBa5IX3074wAU5lvLOVnbq2tww5fuyL4f3EV7YIB0GgS+v4BjD5Mf7rD13FpWCc+6qxBNNFJ/YyfSrXd+AnKaxsbHH9UFSShGGIfv37+c1r3kNP/zDPzy676vhEfWa17yGH/mRH3kMaPrsZz/Lf/tv/42//du/va7tfdUCe5+ur596NHjKb3zsY7JspIgZBWk+KhSX/IRpogHu5Djp1aVRSC9hsMklgBHXyQ4iAUqOg6rJCmjoGu7OzQoHqdvD3bldHt9sjQDb1n3V5ZIAmtPnsK0Oul7DnZoYmew52+ZGJ3O13hoFEZurSzk4y8ne8bXET5vI6NAMIomFybtLulqWl8+z9/Tu7ZhSIGGsgSfdtlIR9/PHUb0I98oatiAIQje7ZHPjZGPFnCCucVZauAtrpJNl/PUIf61HdtNu+QyX19GffhgTx5hzl0jLHuaOg5gdM1hXE3zhNP3dNSpfuCwXOU+8c6qfuUi4llI72sBvZ5TPdentKtPeFeJ2M7yOyYNjIfPlgt4fd0gLDqUrEW7fStp7QZGGirQgTt3KknN8BIylRUV/wkEn4ETDDoQAJuPIRTdoClcqrkpXKC2JtF5Z4SJlAUIiV0jYLYwUTVkIg0kBQijozopRpXUgLQh3yR3IfUlFHhdsCMhKylBeMHTnPbJA4zZjGcVt86SjVXZRBtKCJi0qorrGBGK06URG9nEYzJsTtq2jsK6SvL1eLEB4GBcSZRLpkRoJ2DUG3Y3kvWk9AjZuO0bHGTpKxXHcWLKCmFtmnsKJDH4jIgsdkmqA247EPT7ZzKDTgwQMZEVv9PooxeDAzOZF0srY0HgKvyGPLywnOANDWnLoTTmsHQ6IK+L4rTOxhAjXLOGGZed/P0u4DsFGRn/CYVBXTDzcx7pQviou6cpC+hwR/JhuTxYuYSDfaU++C9nKGspz6Rwcx7iK0qLBO3kF7j0OrouzazvhQgd3sUG2vIqzdzfdO3eQHtlD6a8fFHJ66FB/pIOzsI6tlSGKoVwiPLcuQPfcRfkOP8p7zqlWQCk6N0+LJUfBH33/le9jp8Ygiimspowf7cr5zFEkta8PpdiQ0/Rkf76e6g1veANaa17xilfwpje9iTe96U284hWvQGvNT/3UT3HDDTfwkz/5k/ze7/3eV3U/7rvvvse1HHj2s5/N/ffff93be7rTtKU+aN77DTOiGylIHgcwjW4bgpI84Fc5DuQjLfIcKV0sYno9cbBWGnwP2+/jzkyTLi3LY9MUPA/b6aKKRWyni7t3B9mFSzgzU9hmC+V5ZLmizhmvYwb5uExr8VJZWxeLgFJRTsq5l5LNwJ2eJF1exfZ66IlxVK83IqcrrXAmJ6DfJ720MAJ/6eKyjPOUvsaK4BrFX7JllDjqbCXoG/Zhz15EjY9hmi2U78uKSSlJq+/HctF3NObUOXSpCIMIWyvBI2fhpn1kMzXILNaDeCwkfOA8FELS7ZNC/vU0fi/BeegMxnGw9Srxke0UTq5gri7h9FLSkkc2GVD4mwfpv+gIxUeWybZNgAW3nVD45Dm6d0tw7satY9Tfex+tV94mf1JHMZjwRJLfEmNLW9RENS1jtnmP6nkJ5E1KMqZSFnQkCivrSlBruJH7+1gZqTmxACGTdyiy/AxiHeGI2BxADRVtKgOG2ck50FJGQJQywBBj56M2tHQ/dAa9aU1xyaBjjfGgfjJi8dkByuRE8El5nk6gM6/Z/lcrrN81ycb+ChPHYnxXPHka+1xxCC9KZynzIQ1E8q8U0hUKNW5PuD/WFTNIjHC0AFSUoNzhqExAjcry0GXA+i4qTjGlAFJDUg/w1/uoOBWvKz93pjfSMXI7ibh/pwZ/VdRuyViIt94nmq1IZynJADG6dBt9rNZk5QCVGXQs5pxOP0EPUmzoiv/QrE+4npu2Zha3l1G5JIDNakVS0gzqDm7fkoaKwYSi9ZxdVC4moMBvW4orGXHNw+taetMOKhNVofu5R2TxA6N4IuU4I65j/xV3UP7MOYp//QDx99xO7e/OYBpN2t9zJ/XPLbL+nFnGP3YJs7SKuvUgUTWg+MlTosQzVkjnJYfBRAlvvkD5s+fJmi0c34NaBZOLUYYijGHpMMD2++h6jdKpBmp1HaoVzCjDUoHWYAzFey/I4slziWYrspB4ur4q9YlPfII3v/nN/Mt/+S+vuf13fud3+Ju/+Rve9773ccstt/Bbv/Vb/NiP/djjbuPzn/88H/3oR1leXn5MF+qJxp8opWi324+5vdlsPuER39Z6utP0jVhbwdCwckO5xzWay3+3aULW6Y66MToUt19nYnwUujsEEaYlB+FotRn44tXUbOHMTGEuL4gp4tBOIEkEfHguptGU3x0H22pjO13MICJbXJZ8Od8TCwBjUa5HurSMUyqi9u0WP6Yh6fym/cI9mpmQfLrxMdQtB69R8oGoeXS5vOkoniaoG/agnnEY5+Yb0DcdwJmcwKlUcCYkENemCdk54UuoQojSWlRx611M6MHJc6QnzkhQbxxjJmqoSEYUacVH9xOc9TY6znCiDCpl0vkJGdGs9wjPraEXlklv24++cR+q2Sb4xDEZc+zZgdPqk5bEsVrvyO074pi45hMev4p1NNlNu0cjJZ1YOq+4lSxQ2DxTzLrgRpbMVyP+DiAO0Qo2DoSjEZt0osiVVXk3SAsQArlPmZyPVFYYTxE0LeUFg9cV5ZpOobxgmTyWMv+3DcZOpYQblvq5jOKyZfLBmOKSGC4On1O8KiM2tyf/Vi5a3AicgVgEOLFl7NSAzIfm3gC3xybAQkZHkw+nzH5azBX9VobXh9VbfJKiorNdUbkkJ0ZnYAk3DLWz4qOFQjLXAjE5zAoOWSgdPKzFa6e4zQgyKyOzboSKU6zjCFHcc1CpIZqrYIoeyUSJpBag4hSdGukOKQWe5MPpIaE7NfK9iqRLZR0HE7h4GwMwECx1cLsxepDhdGN5jOeIQi8zAhSH41it0VFCXPPpzjm4A0t4ZlUsDpSoAlUmo8BwoU3QTNGppT+pcRIhfUc1TTQm++i1BXBlgSYNFFEV/LbBjSQiCWNlcRMGMu7ewicqf+I0Wc5vGr9nlcEtu8Sm4P+7H3N1Sca1+2by77chOLsMOYkbYPJozGBM4ocK779Psh2zDLPewFy8Mnqta091SjzhikWoVmBpBTs7KU76rifj/jBA9WPwfcxGA9vrowoh4dnVEc/s66Lsk/z5OqsPfOADvPSlL33M7S95yUv4wAc+AMDLX/5yzp49+5jHAPzar/0az3rWs3j3u9/NF77wBe67777Rz/V0iF7wghfwlre85RqAlGUZb3nLW3j+859/fW+KpztN35C1tbsko6UtfkSPffBIfq8cZ5QtBwhYcF1RpcUxOgwkKHPLwWezTE6mYSAt+LzTpAoFkdgD+B6m1Rl5P5lYxidKK2yajvhFw30wvR5OvY7WSradGzYSxbg75jGLy9IhWm+JL9PRkzilIun6BioHaUMu0pDIrbJMXMjz92zzCx7GoNo97PQ4puijT1yEmw9g73sE5Ti4B/eQnbmAM1Yjfeg4Tq2GroRy4bj9RkxmhYMUupjjC+iJMZyPP4Daswv6A1BVjKuxBR/37ALJDdtQy+uYbVNoa/EWW5BmxPtncT65TDY/TjwWUji/IaqodgrdHqgJ4v2zFB6+wuDwNtKCJq656MyO4kGsIyTn6skOjZvKpIEAIqvAjSANEcVWxxKXheM0JPoaf+jRk/9dtRCDVQaVSwl+I8Zp97FnL6F278CevYiuVSAzUK8Sb6tLkOwDJ9FzMwAUzi0Q7ppHN9qYRfHNKmybo3nrFOFGQuZrivdfgjQl3b8Np9EHDd39Y5QfWqJ12wzGUURjHlMPRbidhOaBEkkO7Py2FVuCNMV2uvSefYDONpfMh/qZjOU7HYoLkIaKwnomOXKdmHg8JClpCusZmSfkceMMQaFcgVSW/8SpLC2t2hzPZRkm9CWzbrYkZG3EqsBrDARc91MZ3VlR2ulIfLyG3UqrFSrNMKGH7iXoWHLvTNEbda8EMCGvr6TzpRLh3Vmc0bjPbUCw2seb8+jOOhTPF/EXmrQPT46+p27fkNZCMT2NLOUrGeTKyvrpAcbVqMxIAHNZ09qt8VswcTwlLmvSQLP2A3cy8ccPyLir15NsyfycgNKYdpv4JbcL6Hn4CuFDTUySoDwXVa8x/el1uLSIGq/DqYtYd8u5xnPxNiKmzq0Tb6uPVLZKy2KO9FoRy1DpqhwH0+6gpyexK2sCyJbX5TxVKqBdF8br0OoQH5jDXbgqvM1CKOO6K50nfF79qtY3IKdpfHycP//zP+ff/Jtrw5D//M//nPHxcQC63S6VSuVxn/+bv/mb/P7v//6Tjj9561vfygte8AIOHjw4sir4+Mc/TqvV4iMf+ch1b++rBpp++Zd/efTBPF1/vzVyAc9tAzbvyOckKj8ZmS1xCMNVnLLSqXGcUbCtNXLbMFn80b5MAObiZQC0tSNeEQWFCgKynLxNnKCKBchdelW5JKqYoeP40BuqXEYVC9cYaGara5ItpxSqXEL3B2J+6fs42+dJL1zaJJaD+CBduMTQ92nIWXJuvgHtOdgHT6JLRey+7ZiCGDaq1JDdtBuVZuhbDonRY5Li7NtFVi+iNppkrTbupSW5ll1aws5NYYrit+Pt2QGdnoz3Li2Q3n4A6yiCM0viMTNWw7u8QXLDNtzVroChiqTDe2tdkuffin95g8Jqm8G+yZzYrUh3z2BdBVrRftbOkXzcKiic64CGxk21Eddo/Yhku1kNTs5Biqoavyvcpaimsc6Ww2JLlMTkgz3ch86x+k9uYvzhDv3ZAsH6IAcQGapSloc6Gjsxhg1d9OVlnMkKg6mQUrUiQLcQysVyYZlsozn6+wsAlA5IYbEpF69mG+eRC3LBU4pyowPGUP3kOXp37ab4ubNku+ZQxlA92wdjMb7GbUdkMzX0qUuQZYRLXTYO1Zm6b0Bcc/GawneyTk7+Ljh4awkqDaie64/I1SZw0YOEaLKAE4mDuBMbnF4i3aQ8520IYNJ6AetqvPU+Tqs/4jCZoo9VomhUmYClETF8SIjNrPDRHIWOhOBtip4Q9fO8ubju4fQNThdwlGwfgzKbJHMAZyDqPVP0IbOUriYkZYfWoSq1v36ECtA6MklU11QvpJjcjNN4CrdvcPoGW9XoOKO1O0SnlmBDvj+FFYvXs2SeOLaX77siYzXPxfZ6qHJJOsS5qETPzGDXG2ShZjDu4Hance45MTofqf4Ami0RYvR66F07yM5d3DTWBfTZy6x+5yGcGKpDOwGjRxYCw9oavYRV6GIFs7wqXMaBg66WpbvkeRD4pGNFXGsZTPpUfJ/0hu3o+0+iHIe/vvSb13+CfbqeUL3+9a/nJ3/yJ/noRz/KM5/5TEDGbe9///v57d/+bQA++MEP8sIXvvBxn6+1fkriT2666SYefPBB3vWud/HAAw9QKBT4oR/6IV772td+RRjlK7IcOHXq1BedM77hDW+47p34+6onIh/9huA0PbqjtNVa4DEPvbYrNTohDTlAW7f5eOO9vHShgOn3r3m8U9qMMNGV8sh6ABj5I9kowtk2R3rxMk6lQrZl9jwEQdpz0ZMT2G5POFelohDJO5urxBF5faj22zYn8uacezE0stTbxDfMlEL0akP2oVqSLlMvxgZyARteCHU/QV1Zxs5OkB09ycjZ+NZDAuBOnIc926Vj1ehgxypweQk1OwUbTRkFzExhV9dR1TL4PjZw6e+syUgsUOjYEqwOiKZCvHaC1YpowpdxSScjK2gyX4vsPBSlmE6kw1Q92aJ1gxzLaajymIj887M50Vojz0mFDB60DIMxia0QiwLFxENdenMh5fMdWjdUKF8cSCfEd/Aub0g3p15G9SL6B6ZwBhlua4C+LKaGKgzkb3JwJ87iBmayhjpzGdvvo4IANVYj2TlJUvEIF8RN2+kMBEiBcGU2mpJhWCzI6zXbqMlx4m11/Msb0OvLfQBJgpmoSrfwypIctxNjWFejrq5y6TUHcRLAQH8Gaqct4w+3Mb4jKrRBLDwXpTAFDzVIsYF0ggbTIf5GjLfYwlRCOS58l2S8iDPIO0gwGrOhpAtlfRfdjcRzqRzKsROnQioPPFSUYEqBdLOslc5TZkWFp8RJvj8TEq7GeOt5Jl4Otob7loUubmtAPFHEiXKS+UBeI62FNPcElK6mNPZ7zP/fC/Ru3UZcEUXjYEz4bMZRhA0x2Cxe6NDZX6U/rvF6Mg4djGuChiEpKpxEOnC19913zfd9qwJ3aC3CeB27uML6d97I2Hvv3zwX5N91ss1YJ10IR15oW+1QlO/JKDyOR4/dys3Uvo/euQ2yjOzCpVFSAY4jr2MNqlAQOkAYoKYmuPrSaXQKU39wL8r3SG/bj3v/adTEOH919j/xpervy3LgwM//Gk7wJC0HogGn3vb1ZTnwyU9+kne9612cOCEA+uDBg/z0T/80z33uc7/sc9/2trexsLDAO97xjut+3YsXL7Jz584n/PgrV66wbdu2J/TY6wZNv/d7v8dP/uRPMjk5yezs7DWSQqUU99577/Vs7u+1/jGApqHSC9h0237Mg/Q1K7ehG7f23M2T4dChm01gNYoO2Rrc+2j+1Fa3ccAZH0MpDWM1aZ/PTmGvLOYnObEa0BPjpIvLj3kfI/VasSgXp0JIdu4Czsy0/N9zZVQXx5IRt2s75uQZIYZ7HrZSwpw8I3ymYkG6GnGCHauQlQLcq+vYSlEunlmG9V2s7466AaORyBeOyWr3GYdxVtvYtQ3puNTLWN8lK3p4S23M5QXMrTfgnrosHaR+HzM/ifVdjC8RM0LezSROI7W43QSnG5OVfJx2TH9HecS1GcrinRjcrmSWFZYGDKYCvE5GWnRIQ3GBdiL5m5cv9dg4VMoBUj6WC2QklxYUbk9S7ac+tkTztmkq5zpgLc2DldHrRGPimFxcSgkvNkmmy+JmnZ8p/PUBSTUgGheiebixeYx5rZTBpI8TGYK1CHeljakVRTV2tQlaM9g9BlY6Jd6Jy/Tu3EPxkUXMyhr2yH6cq+uQZiIwcN1NsDzsYmkB22qsLgT8ehmVWTbumMTrZJSPrbL04ln60+B2oHLZUD3ZJCv6KGOIx0K8ZjwCNXiOAKdY5O0qyWSk1h6QjZcwvsPSnQW2fWCVZKaMuzGgt7tC8XxbOm2tQf7mHUgyVJphA7HVsJ5DUg/wVvujMZvxpcGf1Hy8ZjwCTf0ZMd4Mr3ZIqwFOLxE1nrUY38H4DqtHQmY/1aR1Q4XSlYgscHCiDO/SOoMDU0R1l/6EACC3J8cPCHjuTYu7d1qAoGGpn5Sx+MrtZcZORcRVV6aQjiJcTRhMeKO4leJyRvkvH0CXSyOPJhvH6EqF9osPyvGyGON2YvTCKibvJo8qjyl6tF/cVh82rBGOYhzL4qbVJltvjO5zts2RzY6RFTy8e07KZnNQbuNE1LXlEmZtXRaAczPS2fRcbKWIOX5Wbs+7oBjLX6389mPPj1vq7w00/dunCDT9+tcXaHoyZYzhFa94BSdPnuSmm266rviTmZkZXvnKV/Iv/sW/4BnPeMbjPqbZbPInf/In/OZv/iY//uM/zute97ontF/XPZ5785vfzK/+6q/yC7/wC9f71H8Q9Q9dQXctSHKuvXOLcuzRYEppJUAmix8DfEb3P0p5BrJixFo5ebneCGDZVDoI2foG7tQk5pLwfWh1sEkqKrlWG1Usjk6w2vcx0WDk8p1tNOUk1x/IaDAHhKPcthy0Dc0y6fbQN+6HpTXwPVQ/wtmxPf8oNKZWRK+1IDW4jR7ZTF26BlqjO31RPgHWH5oTKhTg7NwmjsT3n8CWS6hahfTSAlwBd99u6agMOWFRQnzzLtzGAFUpoFJDPOmPAk/FDNJBJxYdG1nxViuw0cDcegOlR1Zo3j5DaUECWJUFqxXBh+4n/a476ewI0QkMxmXMghVFVloQjlJ/tsD4g03Sakg07okx45phMOEKb8dC9VxM98ZJKuc6ZAVXMr9icCJDc6+H37ZUz/bxLq5ia2W8jT7pjgpJIOorHRvQIs/XiajvildjvI1cLUZlpPDq7x0nvNLCW9qAchFW1vErIXpNAn5tnFC897yA6iP7Mb5D8+4d6EwI7MaF4rIYdPr3nUXVa6LgLIyLg/aygSvL4LmM/V0XO1Gjt3+CLBByeVKD1QlN5YzChA56AF4rxunmHU+NAB1HoXsx6VgJpRROo4v1BBBpYPazht4+yZJzNwaUTm+g4gyT84/QiH9XnOah1RayDN2L8KMElRoat01QPdVhMB1IdmAqXSbrOkQTPm7f4C/n/l95xMvwOMxCF+Nr6mcS0rJPcUEAk9tJsJ5mcGAqDydWI58sry9Bv05kKSwNKC5LIPDGIZ/CSkpS8ckKOg/q9TEueH07EgHEFZWDYku4Lt9nk3eCbZLiHNhLVg4FTM2IA33rznnKx86gXFesPbSSsdnWbtIw569WxfR6IoTLzzc2juUncFFhgC4V2fj2m6gfazKYLBJ87hQqjgVMx8kozglrpAPdaKJcAazZuYso36Px3bcy/umrOe1Aixil2xPV69P1VS1jDKdPn37cqdQLXvCCL/nc173udXz0ox/lRS96ERMTE4/r+fTF6tixY/zqr/4q3/zN30wYhtx5553Mz88ThiEbGxscO3aMo0ePcscdd/C2t72Nl7/85U9429cNmjY2Nvje7/2HCyr+0VTOXdoqzR3WYzybhp2lON7MZhtuJl8JKseR1WUOlkZEzTCQEZjSErj7OIArXVmVmJPVNVShIOBJKVQhxHb74GjcyXEIAljfQNdrZEtDlVzuBJ4DNSGPJ1ven7wf02gKAdla7OQ4uFqURd3BaBSnM4MtF1DrLcy0zLL1SlNa/TumcDZ6mGpBssRCF0xO4F1vYPbvwCkWsKEHUYq7Zyfm8oJ0FBxNestevAsrGMeRTlE1GPFUskDcn91+hvE1fjMhqXhiWlgpY9sdbBwTTQYYv075YlfCcOdnqH3sDPGh7Qy+9XbcgaF0ecBgKtziLp0wmAooXu4SjxcIL2zQ2z8OWhy7AWw9H8XFAtrSsoNKLM0bynhdMcyMagq/Jd5Fbt8S1328BVeCesslimdSSDNMKQRXo+KUZG8Nr5VS/ux5bK8vHbu5aekC7N4GmcUtekTzVczuujg8Owrd6EJm0G0BLrbXFz+e2k7c9S7+mIxIM0/Rm1VEVZfxU7DyqhsZO9EnLTgUzq5jPVciPEBGhJUyST0krjv0p4XEHjTEH2owWyJc6m2O0wDVHWBqRRmzASb0yQqucIU8V1y+EdCSlmWVOxjXuP3S/8/en0fZlpVlvvBvzrmavXYbfXP6c/JkTyYkveSlALEKsC0Vv8sQr4ValFrecijqqCpvoZYKd+j1U0rvGDafvV5LUMESLXoxEYQkUUgyycyTp28jTvS736uZc35/vGvvOIdMIZuTkHBzjnHGidix944VO3as9c73fZ7fQ+VCG1+RkVv79hlaD7bRw1Q0Tc6BU8JtKqnTLg4JBlLEVNZTXKhBi/7Ja03aNNS7Ba4mUT+2EqCHOemeGvFWSn9PRP38SGJfvGixfCrjUxvvuv7CniNZF6r7aDYg7DvJscss8ZbDxob5T4sOy8WGLDToAlonh7SvS8jqmmTD0tsbEaSiCXMhpNMhAVzlYHNnL6AAfWAv3WfNUXvvZ6m/d3O3YALp1F6pRyrPIbJJ04/gLfkx2+34Gbwx6OVFpt51L8oYKpcSXJbJpmt2Bre6hm5Mow/vwz90ErexJd2q5UXcbBPTHmDPnGP63i2KpSlMNYYLl8lv2i/8qHrt0c+dX4b11Zg994lPfILv/M7v5OzZs3z+QOuxEL3/4A/+gL/4i7/gG77hGx73956dneWXf/mXectb3sLf/M3f8NGPfpSzZ88yHA6Zm5vj9a9/Pa961at41rOe9bif+3EXTd/xHd/B+9///kewF55ZT6M1ccR93m3wqDs+YNJuH3eIgEnsyOQxZQyKBPyWbYsrxnlXtdoBHVdEVxAE4nCZaklu3JoISlUco2oJrtOjGG4JjM6IdkMniYjBN7fE0j+mkm9sCczSefTsNG5Tolj03mX81jaK1u7orxpRnDxDsHcZP91ApYVYj5MKepDiMyPamD1zmJOXSrjnAi4RoGE+U0U5g+92Md0h2d4pCeQ9fhZ3x42YJMKfOIfet0yw1QdXRl1s9Bnuawo8rxGUXQOxcQflaK76ucukh+fAWtzNh9D9lGRlQD4VQyqC39YnzoNSmEFB3gyFxr2cgIK8HhC1LelcjLbQvqmJCyCdnsdrqGwWeG2orRaMZgNsKBe/oqJLErYUR/3FgMq2k+5EQEn+zhnOhRSLLUw9wSUh5sRFBi84QmVtgBpkqI0t6sMMv74J01MwN4Vq98F71MwUthphk5B0OiTqFuhULPCuFpPtbUrG2tkN/ME9qDQH6zCXtsiOLBBv54SXdkgPzeB1RDqt6C8aevtgsJhQ2YLtm5awIdRWZ5m56xwMR2T7pRAezGnCjkAwbQhFFboHQuJ1zcVXNtj33h1cEpLuaxCvlyL3kVy8w/ZI3G1RICO6zhCUIV7pki43MKnh8vNDDqwGEGgoHK37t+T+SUUgl74smCqRdN6UQllL/eFtbL0iRZUPpCCPAnygqF9Iy4w72bD4QIOGeH1E0RD2ki48OpXjdKHB1gIp0qwn2s7IpiNM7gWngCLsSzE4XIgJ0pDqR45RPP8oelDgIsNgMSIYeaKuJ2+EaAuknnRKk7akyxeMRCsXdRDdWi9HGcPa97+AmYdS4mOrYC2Ney5AtVqeQwooOVdXnZbGHLiyG+26vd3zzuedj4TSbvFrG/LYMe27fLxdXcNcd5DR/imij3xWzm9Go0JxxumtHm5tXSJUjp8lmJshu26R4GRK3gwJa1Xec/wXn8jZ9alZX4XuuR/4gR/g+c9/Pn/zN3/D8vLy4+oUgbjvrrvuuid1DEmS8NrXvpbXvva1T+p5rlyPu2g6evQob37zm/nEJz7Bbbfd9og542OdCz6znsI1LmK02i2cxrcF4SQ490ph+Fj0PQm+vKLDBAj9etyB8o7x6M+2O5hGQ/LakgTbH+yO77zDdrq7gtEoQkWSBacW5rBnL6CTCmZ2Gp/n+P4QFUUUl1Yx9Rq+TCj33R4miiTGpdWSE2e9AlGEXl7Ed8S2j/P4rR3U4hw+DtGdIfrG68TV9NmH0dcfhs0tVJJANUH1B1CJ0ecu4/cuiIi4cOhhKoUXoAeZ4AOUwnzsPvTiPO6mI2L1Xhli77gR9dBZVFJhePt+8J5if1PiMTz4sOxqlDqptKIxqad/2yLBwDJ8zkGSExukh2dRuXR9slaErk5T1EogYnkyDAYOWxF+Dsh4bDAdEXXFraW0wmsIB0KHblzIyGuGZD2nvxzitCqjRBSurqiuO5It+d0kW6V+LdZkjYCpj53Ht2r0rp+mfrItIt9QkbcqxJ0hfmmO4YEmHJ2lsj6GOFp8HFLM19G5I+im9PbHBEMhUSeXU7KpmLAjIyU30xChdKDJ9rSIP3eO6HIXOj2oVYkfuEi02mT15XNEHY/JhC815kjlDfDrUOyfw3SGoCBoj9BFBR8Kw8kmsPfvUpR1+ECz74MdetcJPbp2vo+th+gNEXqjERRFJqJwccAZRvubVFZ6xJf7XH7BNJVNQEM+FRO0MzAKVwkxvVTy5pSCwkm2WWgw/ZRiKsF0M3RWUDRjdO6w9RjTSfFJhXBzQOg9rhpRNCIRi2stAc/DAh/IebaohaAVZpBjBhLS6yKD9xozdLhY7p/Xpcj2Wsa7RWKoVWJwkDdCvJZxbtYQ/dNgIaColJE1DUCJ8zLse0wGw1lDrT+YnC8WfuNuNv7ti1g8oRncOE9y9wnpRldifK+4umAKystMUVzV5R6P6a8+98i5ZazH9KNUgsS7XXRgZJzf62OuO4g7f4lwqlrKCixKB3IeOXcRPTONOnoQ+8AJRq++g+RD9xFs76AX5uTYHmPG2ZdsfRUWTcePH+fP//zPOXr06BN6/M/8zM/w0z/90/ze7/0e1erTZ5T6uIum3/qt36Jer3PXXXdx1113XfU1pdRXRdH0la5rGmt/Hk0E7ko69ljQ/WhBvsoYEVcOBrvOlStGd6bVnNC4dRiIKDeW/DbTbIiQMwhQUURQTSgurQBgO13JoavE0OkKGFPrCSgTI9ReU0at4Dy+0xUNSxm4K7b0ctfpLO7yhhwTwPICaihRKORWRj5hIN2C+VlxMQ1HqPlZITiXWXN2Zwe9PIe+uAmNOr4aS5ehkNckX25hBjn6piO4OBRRt4b06ALx6U2Kmw8CEvjqSpebzh3kAEbca4DKHdoJGFIVHhtpKpcHDG5eIGxLpyC52Gewr0ZRU2I7zx02ktiPsFcQbwxxcUBvf4XBgkRrFBVxR03fv8ngsPCSktPbbL1oQbLFXFkA5h5thdcUdQVwGAy90Lu9YjRt0IV0Hop9cyjnyGta8vUOLxBtZ+Lgm6mRN2NspKheGuFCg6+GmEDTuaFJZasg2OmSzddpnBFrf+WSFA7eKMwgY+1F0zTPGuk4rXQE9Oj9rgB8MJTi4+wllv7gEt1XPYuwIwVT2IPaasHmLQEz77oftWdR0BCDnK3bW3QPgq06wraI1zduj6lse5K1AhcpVl+s2fsRK644oyfBunqQQWeIr1XQPRnV+iggOb3N8MgMqy8OyRue2kVxzoUbQ4mZMQrdL3lgRUH3xmkax7Yx3dGkgAq2B6x87RzLH97EDAsonDjxioJwoz9x5qGERm4GpWYwzaW4GllBSIwKvJFCqaiF6EK0YzYREXe0VY48A0U4cBSxpnpZ9HFoTXz/WbJbDzCci8hrSnRLDcVwyeHrBcFGgK14KmuaZEPclsFI0O2d/8/zmf7AcVyvz863P4fmmZzhTUvsHA2pPtjEj3PoPn/8f2WW5eevMrAbrsAKBIE46IZDlFaM/sWtJOfbuBPnSF/2LOK//xx0+1AUmDOruHJkqJcXZSNUPq/a6ZL+y+dQ+8xFnLXS6d7cJvnojoAwn1lP6XrRi17EiRMnnnDR9Ku/+qucPHmSxcVFDh069IgGzZfLdPa4i6bTp08/FcfxzLpW69EAlp+3hLu0O36DK1ws3klhNdEuSGiujiuTDpVtdyaPHWscdCDCTa7oTvnBANfrXxXMa7e2xelWwjDVmCaelhedKBRbeW8AUSiW9DgSB14U4ja38M5jZqZkjLd3Ca21WPoLOym80EAtEcBkbwDzM6KR2LdHQkDjkjreqKBvvQGV5tj9iyIC914s+mmBbVRk2tIZYqerUjApSbZHKbL9M7hIXnMXyKhEHFKy4zfDUv8x1p0o6Rz5QETc2UwixVYs9O/BPtFZeAUCHwzk/iXkMWuFeC2wQlVKx4qKRjnPzu0zoBTxtsdvblHZnCnjQaT4ibcLippBNTRFRRx3zdMjyakbOPysoXq5IN5OSecqVE9uM31vxvDmZSqXumQLNUxfRjtZ01DZzEmnY5KLXTo3TqHmI0zmMSNL94YpdOFxQYCNFS6s0jibEvYKhvsbNC4VJGd3cLWY4ZEZkmNrMDst2AHnpSsxGEoXwWjqpzq0D01JwO80ZPUAPNhbj7B9c5Xphwbs3FClsuPIZz2mbyjqHh948JrRrKKohGRNyazbvCVgODfD9AM9XBJKcdJI0KNMxoWAGpUIishQudjh4LvLLLMSWqm8FxG5E+TAmM3U/5429r/PUl3J2Lw1xgfQPGvJWtA7OkX9VIfh/gbJ+S6+EjFcrhLtZPjA4ILS7RaOCe7S8cpaIfHmSFx0oZm4Gb0SgbvQxUstWq8g7BaMZkMqm3nJfbJs/KvDzNzflfdQCfPM61Bd9cQ7mvZRRTFXYLYDkjWJuqlsl+TxAIazCvPS66i/9z7iHUv8d/ehbjjENI2JtkzcjaVesYTWjru2ikciBNxwWJ4vpLuk4hh/w0HUuVV0IKO7yl33T1y9YacUpG9sCktuY1NyL60V4XcYoKenKA4vERw7T29PSPLxPnppAfpDVDXB7Z1HdUeP46T61K+vRk3Tf/gP/4Ef+7EfY3V19VGnUrfffvsXfPy//tf/+ik8uie+nhTccizueryzymfWU7/G5O2rVgmyHI/uJsLqsjiSwgk+n8c0drNNRnflP5fvjvJ0vYYfjmSnqdVVTBZz6ADFqbMTDpMbDNBFIR2iqSk5rtlpKXCshd4A1+0KQK8/RBWFfL3X3wVrNurQ60uBFIXCQNIKv7KO7fUI9gnLxS3PogsLowwVGkhTKCwqzcQRN9cUJ9jGDrQSdD8T+7n3FLVQssJyB2mKPraB3rdIttSY8HNMaicxJkHmcKFGF1bEw9WAeGOISnPS5SZhpyBvBELbzndf37wmdGeTe4pYRiTKgQvV5CIK0Lx/g/Zz5sudvxRSeU0T9h02LMGH3qMLT+9lN4BnUjAlaynpTMRgPsBknmTTkjUMw/mI2kpG52BE3HEMFwKqD6wQhnNkC3VGcxFh36G6Q8ISnZDOxgSpp7cvprJj6V7fkuPPPHlNk85EZA0BSo6zvVoPDyjqIbaiJwXczh1zTP3jOnq6QrE0RXBpk/z6PQSfOYG//gDqtNC+MZqiWZHQ3RpSLFWFWL5zY5Wo68laEdW1go3bQkzP4yJXaos8ecujU0Vvvzw23oLRwrhwrVO/lBN3hxALKFKPRPsmkSely04pfOgnGAHRYdmSFu7Lr2t2njXF3C+McHFGtDlg+UOCJVC5pX4c0Jp0oUZlpc/5V0+zeE8qBZPRUtA6T7idYmvhxFmnCkvUhrwVC2ncOmFQIdEslLomryWU2IUhLpTCGBVSWU9BK+beLxtetafKaNoQdT31S0KH1wVgPM37QkYzJRneQ9pShD0vI1FgNG1o1mt09wVUS+ds5Z4T8rxJRcK5AT8coWdn6L3gALW7jqGmmri1DXnN2HX5jjdU9s7bZPwdRfj7T8g4uNOTTZASjRgWgpUt7BVw3QkuJUlw3qObDdzmNqbVwB7dy8yDA+xNBwkuSSQLexdQo4LRoacZePmrcDz37d/+7QB87/d+7+Q2pRTe+8ckBP/pn/7pp/T4nuh6QoPdP/zDP+S2224jSRKSJOH222/nj/7oj671sT2znuDyzj+yYLrCaXZlXpSKoqvE3lfxm+QBV/GagF2Cb8l1UqWOQ1UT4Z9YiSfRraZ8r8vrALjBYJckXh6f3dnBbm1TnD6H22mLiHS6hV5aQNVrsmutJtAf4NOMYG4GszAHRYHd3Ba+03CEu7whMMkbDhIc2CeFW1Syd+IIAoPa2BG4ZKshEMoZQQ7oYY7dNzeBFgbrHbGaZw7TzwhOrVDsm8Mf2Sv5cqkkv4+JzCZ1BP2MIjHC1AnElm9SyR+zjYSgnxNuDVBewk99ILTvrGlofG5DyM4G4nZR6lCk22ByT/NzWwBke1p4A3lV48owWrwnq2vidkFls8CkXmzoZafKa6heGlFUA4qqPJ+NFNXzPbyB5r1r6MwRdT3ByNN6eIBvVAnaI3yoaZzoMFgMSK+bQ2+0pRhMpJir7Fiyuqa6mkrXL0kcKKsAAQAASURBVPckGzlRO6dxIaO6mhF1HTOf3iKdj0mnA8zIiaB9MZSg3VvmiC+08YHCbWwRPnwRf+Mh1KmLUowEAeQF0cOXqK84Wqc8tUvSCWydcoxmxRafTRk2bg9lfNdVLP+9YvZeDUbui/IUVdHn9Pd7wp50nFygGM0Kn8trLSO7QO9erJ3Hl9oiVTh5j1iPr8i4a2xcGO5r4rVm+ybN5RdWidZLp55RIjIfa2islULYe5Y+OaKoS+dIp5agL783PUwJuuVrOsykcxlI91LGiZqgnRH0cinWFBTVAJsEVDYy6Vo4L/9bTzYd0d0f03vhQbZfcZj+YoCykl9nUk/rbEGyYWmc1GQNqF1i4rY0I0/aUqRTELc98/ds03/RYZbef0n+3gepbJZA2GhZLiaNfXtw7Q614zu0X3MzWy/dh33+TY84J/kiB++I7j+LWVqQv9USeovRkis3hl06j724Km7aqeakAFNRJF3lUlyuZ6fxSYjZ7OGNItjoYi9dRs3Povoj8vkaH37/Vycy5+m0Tp8+/Yh/p06dmvz/lboed6fpl3/5l3nzm9/M//6//+8TxPlHP/pRfuAHfoCNjY1H5Mw8s75M61Gs/3JzqWEa7/jK3ChvLahdgOXnP/ZKUfiVTpeJ+HMwlJGbEz6NGw7RjYaM9fJiwmAK5ufEQTfWMXmHqQvE0vYHBI067vwlVC0RPMHyosAka1W5iCUV3MYWutUUQfl0C9JMxnphiD5/GWo1yHOoxKjeSNgti3P4KXG0+dCgRgV2pobKCrmoJSEuDjEPncXeeABvtJyEKyHFTfvAe4LNDsWe2YmjzVYDotUuxUwNm4QEQysOqH4u8RyRIa+HUNahsXVyQbGecDMjnYnQVqIuUFJEjaY12nqCgZt0uUb7m2grMRDVSymD5RivkFFYBl55bKwlHmPg6O9NCIeOPNEU0wFZy6BzsKGAKL2S2JXaSk62d4pwvU/zvtOwd4HRvhYg4MVoJ6V/qEHtUk58ZgvfrGG6GWE/IqtrWg90ya9v0t9TIdnIcKEmawYEAyFlV9YH2IpheLBF9dQOw/0tou0RLta0DwYk6wU20aR7WkTrPdTCPH57h3wqJjq4B3/8DHp6SkJW2x2ql1JMatm4vQ4etm7RzH3WMZzTpFOKrAWqkAv++nMVURsoFPGWYjQv7+d0GlziSGek8ETB/Dt3WHn5DAuf6qO2r95sZHtaBDsj8rmEcGu4m0dnx5Emlny2RmV9iI8NMw84Wg+2y/eYjPdUibAYLSQUFU04LHER3YygK+NAHxocIWGvIF1uoqwX7VMUyHgsFGyFCzU6d6RzFYLSBRf0hYfkAk3eCgkGlrQVoDOBWxaJItm0JOd66LUtLn/jEcKBGALCgSdtlR2unifqiltOeahsX0H8t3Lb+gunWfjbS7gLlySDbnNbzgOthnSGxueNTldGlpvbODNL4+yI8IFzuHGE0+c1GXyaorjCkFKO9tz2zqPCdMc6SHNw3+6myTsoHAQGHjqNjyLSW+cxn7wkX8vEOTtYjh9xXvyyr6/CTtPBgwef1OO11l9wivXFOlVP1XrcRdOv/dqv8eu//ut893d/9+S2b/7mb+bWW2/lZ37mZ75qiqavdDE4MCl+JpTwMdvoSoyAvWIsB1fFIzziucrH6kqMimNctyut9U4XHUWy4yt1CSovsO0OwfIi5LngCrIMu92+CmsAyDhtYZ6g2cCuyclPTy3hd9q41cuYhXlxuykljrk50e6oZkOEw0mCiiN5sqSCT2JUJZowc9TsNOQFqtfHz06je32IpQvlowBbEpr1UC4+KivwSYSLSy1GOarMD85LRyjUGCBoZ2QLDXQhnSNnFDoTrVHekhNz9aE1ercvoq3cppyM42woF23lPMpJ/Aneoyi1To2ym1fiCpT1uECRTUcyCkwlF0x5GeNlDU1lW6jhLlKMKka+VyKjF6OlyBrMi24m2bDE95xg9KLrGd08TWWxTnRmEx8o8lY06XTZSBNvZeTLLYpqUB6/Juo62rdKgRVvFxSJwZeaLjOSN1PvuiZmKIWibSTYRLP2gibKQjD0bN8k3Sa9YJjvpIz2Ngm708TndnAXLsnvM80kYNVawntPoaKQhcEc5189g/KQVxXB0DN1ImM7jdl+luXQX1nOvSYk2oF0SuCNPvLEa4ai5gk6Bh94RnsK4tWAs98yQ7wFl15aY+pkgskcycU+Ks0J13pgFNHlHiotcNUYO1fD9DNUVkgXsZdJkZRbGmcGEo9SgvzUMAejMO0hFQe2GuCNJp8pi7DC4Y0pc/AK8J4oLShqIdlsTNArBeGZA0dJBxeTgg91yWcKRUOXOlTu6S9HFLEUyEUi2ijlQK9uwFSTcOCJO5a0KcL/MRBTFxCM/CS4ORg5iork5IV9+RtonslwK5fpfeMdNO8+j7u8LjrIjS1hZWmFuuk62GyXiBLpeIUPnZcucnnOQWl0rYqqJpM0gDE4U1WreOuu6nLrqpD7Xa+HfdZ1mAfP4Ho9/MYW/ZffRO3hBqrdFb7bdhs9PytZl86jagn0yoJru83U3z9NQnqvWF8tmqa/+qu/4jWveQ1hGPJXf/VXX/C+3/zN3/wFv/6ud73rqs/zPOfTn/40f/AHf8B//a//9Ukf6xNdj7toWllZedTcmJe85CWsrKxck4N6Zj25dWWeHOy6VsZgSGXMBD2w22X6Zya1Ywp4mWYumVFDGA53sQZjArhWuE5PSL71GspWpOs01iaAUHiNlnyoThc3HOGLnGJtnWB5SWi9o7QsipqYRh2/04FuD7W0IFEs01O4SyvoIwcnFyusk5HccCT8nNyKFTyKUEWBS2KYb6KHOT5IsLUYFJIwP0gp5uoQG+yth6RLFCjJKHMCGvSBKpPpZSwHiDXcl0JZrSSPrZeRzSZ4BcHQkh6eE/yAUZOgXSlA5WIiYa5j4bci7Fl8KPfL6tI9Ug5cMM4NE52Si7WM8ZQUWVFPLnAgIvG0VYIqS86Och5XogqCoSduF9hbDlG51CXZ2JmIdcN2hgsN8QPn8fPThC0BPqZTAclahg8Ulc2CrGGIunLhRSvRuFy26MLTPRgT9n2ZbyfHgRa3XdaC+kVP2pSxknIQdRydo3VcqEinDUliiNY3hc81HMqYa7ycWPVnjhUUVU1vjybswvptwqsyA83KnYbaWSkA0FBZA79lmH2wYONZAXEbtu6wzN0d0D0E0SYMliA7kNK4EJG2DEGvQm9/k5lPSyeFwuEaFVCKYEecfT4WYautRfKeqYSozE5uM1pMCYP9dWqn2hIK7RHgY+4m2XVqHA1TRqbYashoPibeyjGjYgKwlCeGoJszWqwQ9C1hVwpWABdpsoZmNK3KgF5hciUblqCb4/YtoC9vYyMZS8ZtS9bY/buv7NjJ2Ffn4pwrKqrUNynCoSf6+/txWUbzgS3c+gZmzyL24gp4j5mfxW0JA0tPN1DrG/jhiNZffJrJNmy8IfMOe/MhRosVkr9eF+J/FEqg75X5k3HM6GW3Uv3UaVy7IxuzTz2AtVayLbOM6nvvlb/NPUugNG44wiDdKp15yIvJZtDnuThyn1lPyfrX//pfs7q6ysLCwhcUcj8WTdO3fMu3POK21772tdx66628/e1v5/u+7/ue7OE+ofW4NU1Hjx7lHe94xyNuf/vb3871119/TQ7qmfXk1qO1sydaJaVF85SOruoq6TAQuCQCpQTZ3ekokkJplJbogSto3KVgfDy2s1vb6Kkmrteb7BopLLrVQIUhyhjZKW638f3BJCZBBSHBwjx2bb28SDrc+Ysi2i7Hf6rZwJ27IKPAjU300gJ+bQPVHUJh8YGR/xvVUpRrUIMUvd1BZRaz1ZVOkpMg3uDUJYK1jozr4gDTz0qtyGiS5+UDja0EwvgpixO06EfkBRIx9jgixUWGdC6RE7iTi5gLFcnFHpX1kcAuawavEDo14Aw07r082WnmDXHRFRWNLsNSdQksFBeaIp0JyKuSCaacx0WKtKnxARSJokikoLKRwkbSnRg/Vrpvwu7ZvjFh+9nT9F54kOLAPMNb95A3QsKtIekt+8kW6zgD7SMR3kB/b0z7cExvjxC7i4omWc9Jm5rqZYsZOaKdjGTTUtnIJjgD0cZY4u0CZWHzWYq8VpK6Z6C3R5O25JiLisJWDGpuRn7vWqOvIDerKCI4t44ZOSobxSQaJp2D7mFPZV0u+KN56O1THPybjKW7h/gABguGyhbM3jcguRgwnIdsypHOCMRx/sMSJVLZcmzdEjPzmR2KqQS8xydXOH8KN8mP07nFDCTDbowdcJGZYAVUVlA7I38LelQQ7AwJ13qE6z3pSCklHZRKSSD3UlAFfUswwRgIViAYFCgvDrmgb0tDgSs1dfL5aFozdarARpq8Ju/ZeDsnOr5CPhWz8i0HGc6pSQfTGzUZ9eZVEemjhPVlRg5deJINx2CpBKYWOabZwJ0+Lz/r5Q0pZKwtNYkSOH3plbPowwfwzsFNR0TreIXBRN1+I5vPrlF9z6cx+/dh9ixSPP/G3XPL5LUuqH7ylOilPk9Ebq/gRqEUfnMbMz+LrsQS9lxNSM7uSEE3M4WbbeL7Q97X/8PHchr90i5/jf59mZdzjoWFhcnH/9y/JzNae/GLX8yHPvSha3XIj3s97k7Tf/2v/5X/9X/9X/nIRz4y0TR97GMf40Mf+tCjFlPPrC/xujJE95/rHnlBCGA0FAUuLybCbGUMLh2JG6XMdBovFVclYLdaxZaag3Fa+bjgcts7knrerOOHI2y3iwpCEXWOA3iNodjYwtRroouwdtJpwhhBDViLvbgqx5okqKmW4ALCAOan8daj8kLcVXEIptRYrW2JpkmL5qQ4f4ng6GF8EqG2OnJ7u4s7tBd19hKqVkENM4r5JqYzlHT63Emx5HxZEImOxIV6tyAqd/7OKEzhcKUmSXnQhSPcGgKQzySodo90zxIAJheXU/+gvBZR19K/ZQGTiQNOl6kSupA0+vEyqceFuxc50UBBVupyQEZxXivc2NUqeB1MBnkCcUey4rK6or8kWiuTyvEMlivowjOc0cSbgkdQVrRS1cu2ZE15zAgqm3JhTGdCTOowGWjrcbGGHhSxItp21C+k5M2A/kJAvAWXXxyhHCSXoXfIMfWQpkikyxaMPHlVfpBoO8OvrqHiGHvTYdTnTghjp9sTgXBRkDy8jk9iZmrT9BcN2awluWgoytiPvOGIzmnMqEAPcswooXNEYWOPclX5eRSYVBH0QFmobFsq6ykqd1Q2A1wlIFzr4qoR6VwiWrNuhp2roYcFLg5QmcVH4nBThRPXZTXA7Azx1Yh0oUl8WUjp3ii5fyXAhQaVWmw9Ro9KQXcpEAcIezlFIxJ4plKTjpOMygr5HkPpJinrKGry95esO9KWYDNspGicyxgsRUTHFTbSBAPP7H0jikbI9vUB9YuOYCgw1LEBQRfyvi6mjHSbEkXUlbFsMjWF27eIvrQmmr9ev4TN1qTbay3c8wD2pS/g3DcvsP99IWp9G6YksHvs0rW1iLQlBZDvdPDDEebSZczSAm5hCvfpB8t3vsW2O5OcODdKMdMtXLszOZd47OR94bNMiriigLkZfKBxwyGmUUc9fBY19fQMsv1qGc891Ws4HPKrv/qr7N2798t2DI+7aPr2b/927r77bn7lV36Fv/zLvwTg5ptv5pOf/CR33HHHtT6+L+v6itU1XcFeUkEonZuS0A0SjOutFdHlo4nFg1B0JKV9WG7UEq4Jk/9BBJym2cD1eqA0ZmFOxm7tjnShghCVVOQkluWyS4xjTKs5SRo3zUYpSBfHm1tdQy8tYA4JYRtbHuPYmRdoVF5Imnkcw2AAy/PQ7eEXZ+W4ogC90Sa44Qhea9nNL06L6HZOtDjsXQDncK2SNls6nHwZwuqNQucW5cCWhGi5H5ihlfw457EVuUgFQ0tRLYupOBQSdGIobl/GDB22dMzJk8t/zogOKOzmDMsgV5MJGZySpePCcZdQuk5eS7FTVIXPZEMpoHQh3RvKTpJJJcA17DnCvoxkikrZFQuYFFCVbU/YLfBGkWx6dm6q0ziXgvPEDvrLoTzPQFhEnUMxuoC4bSnqwYQ6bYaWdDbGxor+ngouUiVPyrNzQ0x1FboHBU658ElFf7l8DUIJh9WFCLlNdyTvz14fZS36wF7cuYvlayAhyn57B+pL6MLT3wPVc4bBHkdlQ3L24i3NYL9j69YaXsP08YJ2HjD7YEbaCnCBoX2To7KmiXow/eCQoJ2SzUtBVTnfQWU5K69eZva+IZXVfhlZIhZ/jEKPckYLVXygCPqWvGGItzJMv8C2EnSaE1/qMMm6ywp8EIg2KRVcgU7LmJVRMSGS69zidIALNNlMTNiVwF9ddglBOndjHpgqvIj9MzEZWKVQKKrrlp3rI6YfzrD750nOtYEW2VSIzj3Tx8WpactRbzD0MBK3oRkJfV55KKqCHaj/zb2wOIde3cBut9E3HYGHRdfo2x3GUUqmVWP/b36O3tfexPHvnqJ1fJpk3VJ/zxY+s4Bh5WuqNM5fsSGLInyWYVfXYGV1V2Iw7mgPh7KRG6X4Xh9z+CB0e9iNzd1zlDHo/Xvwlzck0HdrW0ahUSSAXOdwpXD9mfWlWXfddRe/9Eu/xIMPShF8yy238BM/8RO89KUv/aKPnZ6evkoI7r2n2+1SrVb54z/+46fsmL/YekKcpuc973lf1oN+Zj22dWW45pXF0aSrFISAke5SWUCNXXSu+yhz/0mm3a4GylsrBROIrim/QuTthZXjBwMpbkqejTIG7x3EMW5tHd1qSjJ5SfAeE4TpDyTEN03xU03UhljvVa0mpO+FeYqLKwT79+DPreCyHLU4i3vgOPqG6/DNGv7UefTeZRimUK+IRbp0z/lKIBeeShkQWxcSuAukGMF5zEBS5dGAQy5sWpViXCfdoFLsaiuGeCslnY5xrYjRQjy5YAKEnZy8Kd8LJQWTL6NSiqqZYAKKeNwpFDFuXtOYkXyPcYFiY3HKuUBBCFHPk9fE9u8C0US5SAS8tqLIq7ti32TLMpg31C9k5A3pXvT3hFTXy4LAQ39PjA3BG6GHh32HyTyjaSOi9QIG84YgherljKwRUNQMeU1Eytp6+nManZnJcdtEGEkoGM2Oxe/ytXQKgiHUVj04Nxn5qK3uxNY/6SAAPs9p3zZNMPI0znm2b5ZCyYXSNbIVjx4pdm7y7Pl7R9Y0LH6yS9EQw8D0sZSsETP7UEG0k9PbF1N3olcLNgdsP3eW5skBS3+3MckyJAqwSYW8GRJvDPFaYxMp0rZvjJk+nuJCAzFs3xAz/08yghODgYzg9EhiY1wk4zivFMp7lN/FErgSsBp2c2xiyKYi4s2ykHZeQKihCLTFSCCFTpFogqEj6lrymuibdCHGA4ionFvDLDTwgfzOTeoYzcolIOw7hrOGuC2dJ1vRpa7Pl+M70Evz2IurkhtpDGqzjSsLm3HHGe9w3S7t1z6PrKbY9+GC6sObokXLC3QYULz4VqIurL1Q0fwzjT+0B3/vQ2V3Wzq0Y+G3z7JS4+jx5de8BXv6LOo5N0NZNClj0I06bO1IN3nPAt4YBgfrVD94v3DjSqH603J9Fbrn/viP/5jv+Z7v4du+7dsmSSEf+9jHeOUrX8nv//7v853f+Z1f8PFve9vbrvpca838/DwvetGLmJ6efqoO+4uux1Q0dTodms3m5OMvtMb3e2Y9TdajdJKC2VmKzc0Jpdtbu5sXN3nYP+OiGz/H0gLF6touZA7pYEmgbqWkdk8L58a7iQOKNJMOlzH4dgfdaOwKxa1Da4VeXqQ4fQ7TbEi4qdb4U+dQczNiGzZaNEztjnSSokDGI0kFOuUutNOTC22rid/cQi2Utv4kQvdSebxS2FokYxXLxM6tFJPxXt4SfZfKHTpz2JqQqF0odG+vlaAGYk3YzcF7KmsDdHfE8MgMLgI85HWDLjTRTjaBZuZ1g9eqHMWV37Ns03tFWVAIudtWRKsT9ixZ0wjQMtaEfUuRBLhQvu61jABtqPCxB6SD45XCRdLVMammsu0YLIl7LRg5qusWnTnSZkDctujckzUNtUspw/lIRp0VcaoVyDF7LUWarRhcKF+3saJ1UkjYeIlsyVsQ7SBjRAV5tbwI52Ar5XunkGIn7ItLzN56mM1bqyz+1Qm2X3kd9XNTBPeeFGJ0lqFrVaKejKK6BxVH/2SHdL7K9o0R7ZsteqTxxhPtyMW/cXrAaCEh3kyJlGL1xTGL92SsfE1EdS2gdTIjr4cEIwuBprIpobNqmLHx0mVBNWjF6tdojv7RFq4SYXojgn5Mfzlk4eM7DA5JNIdOHa2TGatfU2fx7j62FmMGGXpU4JKQvBERdlLpXAZajAyq1JsVTnAXSu0K/bWSbqn8OimqRrqR5ftjOB9RVJSMX4uS29VxDGcM8Y4TTdMD50DrSTFkMk9RlfFb9XJBkWiSDVt2nkr2U6IIB/K7SlsKt7YhOZH9Ad5muE3ZxOikMuk+eyvnjtaf/yPtb38uyV0PwNwsDAYynreO0bwYBSprChWFrL2oxWJ2FPfgiV1+3MIc7sLKxECiwmASGD5ZD56Sgq1Zl872YChokrygmK4S3HeaKnvEbZtm6KTCe9u/+9jPnV/K9VVYNL3lLW/hF3/xF69y1P/wD/8wv/zLv8zP/dzPfdGi6d/8m3/zVB/iE1qPqWianp5mZWWFhYUFpqamHpWd8Fgpn19p6yt2RDdej8JcKjbLlvajdZ9KPMFVYb+fr4264nMVhKhKXHKXSqFmmUVnt9si9I5EROt22ui5WYlAGD+H1qhKjOsP0DUJ49RKTU6cpDIm0suLol3azvGR0JIpM+pUpw/VRHRLl3u42SZaKXwllM6JczAsmTmlC0oPMihFvF4psXvXY9Eq+TJHLijHMLmV3f3khy7HaiVzaexeyusBUVuE5oPrZsQp59XEPeeNImiPBBtQ4oCUKztDhcfhGVO9TSFCbmeQ4s+Csp7RbKm1KjsFRaKJeo6sIRiAsRtKl4ToYDTWOkkxZVLpWA3mxW6uAxjNBiQbDm1g6r5tBodbxFsp1QfbuJk6+eEKuigz6zq+7DjpCesnbZYjOiOvzfaN8STstbdXoQp28/e8jOeKqtw37EmUR7IuGq5gYLFTCTs3JCx+6BIEAd19is1nVTl6fgq/tSOdn2pC+1BAOgWH/2KbdKHG+a8LcRVHtGVwoSfa0NgILn69JVqpsfSJgs3bayx+cIXk4DLbN0Yk69A4mzOcl1Phys0huqgwOphz8J0RLphGOWgfDpi7P+XwuwpsM0GnBa4aUVntkzVbDA7WJ9mD577esPfDnu5hRzCsMZyHg3+VkS7WSodlLpBKjRRmhdsd/V0RJFvU5O/GjOT9V9QDsF7GxaHGRQozcuQ1JfExVSWRLjAhy0c9R1E1uOccovKZM4ImyDxBryCdDgmG0pGckOeV6OnGOIvhnEbnwm/SjbpkM+5bQB07I+YQY64e15fGED03S+P0kOHLbqHyt/fJ+G2UcuFHnsuej/Tp7xXDhF5aEDF/d4BZXKC4tIJ3GnvmHGZ2Bru5Jc9XrUp8UxyLdsnaicDbbu1MdI9uS8Zvpp9JosDxM/gwFNdcdjXq5Om0yv3Ek36Op9M6deoU3/RN3/SI27/5m7+Zn/zJn3xMz7Gzs8MnP/lJ1tbWcO7q69iV2KMv5XpMRdPf/u3fMjMj2PkPf/jDT+kBPbOu4fp8TtOVou5x1hyU+oHPc8OVYnGX7orBJS6lhev1Jl0ml44gy+RrFWET2f4AHYYiMu8PUFmAnmrt5j/Va8JQiWPprgQBKs9lRGc0PpVwYDpdCEOh/aa5ZMYlFfyZ83D0ICoPZdTmIhnpbOxAJUZv9fBJLO6kh06jDu6bhK8C8LmT+KMHUP0RPqzJbn+Y4ZvxZLfmtRQ00ZnLZIfmJ50ms9lHtfsU++awSQAaqp89h1+cJZ9JyKbiycUwaGcUSVy61uR5h3sbornZGMJsRTQjiXQWhL0k2iNbjq5cVBYdBpyXIkophTOeoCgddzVddnXGzjgpWIqKoqiU4l7riduOwZwpu0TS2cmaolcZzmpmHhjJGMkouoeqNAuHN4qo68ouE9iKjAVrq5bRjMZGMmbzRjpHMiYqYzhQhD3RT7mgvE8GriLdi6KUkjVPS46fuMAK8DD18JCdFywx9dFzHHj7eU6/YT9n/rf9zN6/h/rxbfyFy/QOeqYeUnRuaLF+h2b5HyyXX2honIF0SlFb9cRty3oRks56Lr7M0DoOay9fZut2R7Sjy45KSNiTEaFycvzTnwoxpaZv53pFNm+pXwyp9QvMdqnta8Tk0xWU89RO7tC9aUaK38Ry8eUGHzt2bpBOn0tCoq0RXilsNZBoHkphf0kbFzG4vBcGSzG68BM9nY2Fw6RR6JGdZBIWNckLzOulgzUSlIALpZjGenyo6C0EVP7JE2+mdA4nVBQUVS0AzDHvqxzr2khGjsFQ3ic2VPK+7PXR0y10P50Ef6tKjO+Jo1ZGX3JOKQ4uYCsBydm2jPD7A9qvez7BANafWxNDwBr4rR3m751m7ev2M/8XD5TnmDr25kNwSlhdul6buGqxYnTxNkMBrt0VyO2eRVy9Iiy24Qi9simbtHpNzkGVWM4/z6wv2dq/fz8f+tCHHhHY+8EPfpD9+/d/0ce/+93v5vWvfz29Xo9ms3lVs0Yp9fQuml72spdNPj58+DD79+9/RLfJe8/58+ev7dE9s57cKp10E13TFV2niciSUttU5LuAS2sxrSa2dKgEiwvYjU2JMSgZJzqK8EUupO9cdn5qqoVdWZWCLMtwpYbBjVLc6hrB3IxQuotickx+OMLnBaqWiAYrTdHNhnSHwlA0UiMNUTRxFumpFv7iZZieQu2UoLqkgu/2YP8ecdUZhe6n0GrKeOTcKoyt660G3hjsuYswc5OMR5wj2BliGxVU7nCJkJiJIoK7H4RbjpDPJNhaAzVbI/rcOexzDhFd7glg89wK0UbC6Na9MgoLFOmcsIO8KqNTQnFIqcIz2FulerbHaF9dHHmeCWcJmBQ1XoGPRCyuC7Hw6wIZs0RywdOWibPOhmBKxo44+eS54vauo66y7Rgsitaocb4QHZKF4UKMmY6orgxRnz2Ofd6NmG5G7UyXwf46yaroeNK5mMF8yXXqe0YzotGycTkeTKXDpQrwcTmGi6RgMjlYLfeN2vLzxdsWmwhTiPJ9EZy5TKOY4/I3HGLh41ssfyxj5c6I7gFD2Guy/fI5wg5sPtuhC0Xlslz0wx5MPzSQwmBDwoeDfp28pjAZZE0p4MxIoTM53rwOzXOO6rq8xllDk6wXtA/FbN3ucEnBoXd5TOYkHLev8VFA3owJd1IGCyGuFhN1CkYzAUf/H8uZ78+xo4D6gwEuAJsEkhPnESilEddb0MtwlZCH/11M7VjIzEMFwdARtwtGMyFRxzKaMUQ9R14VjZKNFPFmJvo4rdi6KQQNUYeJiDtryOitsiOdoyD19P6Xo+RVGeMJTNOXhZnHBaCQzpWLpBh2oTjnRGAOKgxxp89dpZP0pZ5RxvwI2PbwPnqLFeof/NxE/6i0I20JAmPPR3ts3VKjqCq6X3sj9b+5F3/zcyfvfdfrUTRCWFuXc0l5TvBlbI3rDyRFoNS6URS40+fQrSYuLbPvZltoJSN2Vca8vOfE//WET6VP+foqHM/92I/9GD/8wz/MZz7zmQnb8WMf+xi///u/z3/7b//tMT3+e7/3e3nrW99KtVp9qg/3Ma/HzWk6fPgw6+vrj7h9a2uLw4cPX5ODemZdw+XdI7VJV4zXTLMxKa7Gu0XhKQlSQBmD3dzeLbjK53Jja28QTG5365uiObEWXa0SzM9OQoFl3Gd3wXJaSR5cNZHIlDLoV0URdnMbn6a49U2Ybu1ymAYCFaRZR1VEDOPbHcgkIZ6De1BZLoG8oxx2OgK4S/MyD8/jWlXs1g5cWMXs24M5uyKdqVoF26gQXNxE5ZZwvYfOneS9Pft6stmqjFByR9BOKW7YR3xsVYjiR/dibzoIWhP0csJejhnKBRInPByTO4KBLcXdUp2O9tTKbDPhNeHl4kXJzfFBSWkuLeFFogj7bgKrDIZyMXNGLPsyjvMlvFAKkmAg4zS8ZzBniDsydmyeyYnbDm0h2ShI1nLSKU1yUezxenkRVXhhBwH1BzYmImoRe0M4kJ8tGEBly6MKKYxsLMVJ1iq7T0DYB12+DYOhFEy1FSuaplK/FQycFAKBYvtlBzEbXVCQLtbZeFbE4t05WQPi1S5Lf7+NGUEwUAS9spsTys985hur0qFJNNs31xjNS3TKaE/OYJ8jGMHCPR5loXXKM3e/RVlPvJWRThnJ9os1Ud/hapbZewIuvzDEhpoiMWzfPo3KCkZz0mlsnB0xXEpK3RpkrZDgWBXVkbFlbVUMBTqzpT5pPApTjBaq4sKMLNnz+px/lRTc4U6KLjzplJkwsSpbBZXNDDN09PdV5LVpyd9y1JFRXON8JliCgaNxISdraIqKFgp738r7RCGw1gDCvuipwp4V7EVFBOQSGi2/excoRtNK9EKft3SrefXm6+YjqK0O1b/+pwlHSR/ax4UffT7xjqe67hksJ7ROp3gDtf/xKbKXPouFdzwA+xZRUYS+9Qbijz8kTrxDB9CLC/j+QLpN5YjGjVKJbdq3KDFN01OSJRnHom08WxLlnYMj+6Wr/TReY+TAk/33dFo/+IM/yJ/+6Z9y33338SM/8iP8yI/8CPfffz9vf/vb+f7v//4v+viLFy/ywz/8w0+rggmeQNE01i59/ur1elTKC9lX2/qA+7Mv9yE88TUukMaFk9Lo0v0C4PoD6RSVwZljQvgkXqUM+AVkd3cFLNMNh7jBQACYcQWXZeKgAWy7I+38UhTunReib0VcdCqOpTgaDFFKQ1KRE5vRmFlxRvgix6+u49sd3PHTkFTEZnzyLH66gU8iOLAMjToqy0W/kEg47yReZXFe8qhaDdAKvbqF2bcHNTuDb5QhnzN1VH+Ezix+a0cKhVxghSa1mLWOXFRXu5hBUXJ2NMNbllFpTjYVk7ciRjcvU9RD8nqID2WcEm1neCXOurwuMSRZKyTezkUIrBUmF53RWHPkDaXIWn5lNlZEHREiZw0zEYqnTWEpeQN5TU2E6TpHOlwa8rrcbmOxoI+mpKMzmjGkLekoVE6Jxm36gQHDvTWKRkS+dxrTHZJPVVCFo5hrEN93DhdpcdLlUrRVtuVCnDWk2yRhsdJtAtFBKQc+KB10ZUFV2XZUL43Y/+cXsbGWkZtWDJaEht04PcTONMhrMkaaPlGQXOpx8N3bDPc32bm1xWjOY4aqvMCLcHn2AUtRt7SvU/QXxZEYb8L0/ZrZe0JUrkg2PFHX0jzrymJTUdlIsRVD66Ee9Us5gznD1s2a6HJI40JO0JPjiLYzWif6uGpE/dwIWwnAS8GlrHRt5DWG2nnN3H0ZjfJ+eTMuC2SFrUgBljcMlYsdoiTHnauSXDKkU4b+gRp5VYodk0pHaLAQ0tsbYytaomvKYqh1xlLZslQ2C4qaoDFspCR/rkDMBdbT3xMKckKBzsr3WmlEyJoBeU0zWDAUsSKrK7K6aMLQsOf3P4fbact5oNWUsX8cCy/JO3S9Tv6SW+G+h7Fr6xNzSXbnrRz/ngXirbLjNZSfJa8LegGlaV8X4Xp9zn/9LLrZkFF5ec5xl1ZlMzU7jTl0YHLuMfv2yGbu7CX0gb3ycbdfxjhJmLLv9uSccfbSRLT+zLp6Xbx4ke/6ru9idnaWJEm47bbb+NSnPnXNnv9bv/Vb+ehHP8rm5iabm5t89KMffVTS96OtV73qVdf0WK7VeszIgTe96U2AzBLf/OY3X1X9WWu5++67ec5znnPND/CZ9SRXWQiNOz1y0+fpm0pNk9Jqt5t0pfjbO8zMLMX65hU37W5rBG0gzpbJuK7IJ2M+ykJK1+tQTWA4olhdI9izJK31nQ46MBBHkjfX6eGLnGDfXtE4dXuYagLdHtRr6KKQE2sizjfyHOJYYlWUwtUqkjk3yqHdQTXqgi8wRv5VIimqvIdaMtFA6dUt/JH9qMubFEeW0ZnFbIqzz4wKfBxiNjoMb5ifRKCM9jaZ2MOrgYiB68KfckZR1MPJGCTsWLKpEK+kcJrEp0CpSSp1K7mIwUU8XoIGE10Ky2Xn74LxSE80SbbkL3kjYz0R9MpYTCGsJ+ugslPu1MtOVF7V7LxgETPy2EQ4Q8P5CBcpomZI2jK0+lK9de88QlbX1FbyslhTDGeN5JVlu+48KMeK5Vsor5eFU2ldD4aSCWeyCvbQshSDCw104eW5nSdY2eLCt+9n3/9zguzGvUSXuzBK6d6xh7SlmfvrhxnO3shwCaorYENoH1VwXLP4cRhNS7eufjHHxhGdw0zUtmHPTXRkyeUhLhRuUG3V09sbErcd1bWC1qmCiy9L6B4IqV32uFDR35dQ2cwxwwKbGFTuSlebYrAQEPUcUc9z4P3ZJERZZ0KRlyiecqzZtYxmQ8KuZXCohbMp+/7Ocu51BVMnI+m8jcpQ3b7wtoKhYAdcIG466Q5pbKiId0pdU9lxCIZOCtjertA76jrM0BGM7K77s3wPeC3vwdqqJW1p0qYibnviHekmuv5ASNvIhgil8VmOThJsf0D+nOsI/v6zghJBOtTDf/Uc4o0UM4rImqALKdjSZkCyZZk6maObdRY+usH5H3sB+z7QFqH5ymXpOC0ugLNC/m818Y0qPstFJnDhknCizlzEB0ao8WmG37+MWt/GD4eo6w7hV9ZQtSrv3f7tJ3ES/RKsL8N4bnt7mzvvvJNXvOIVvOc972F+fp7jx49/We38V65v+IZv4Cd+4id44IEHuO222wjD8Kqvf7HsuqdqPeai6dOf/jQgnab77ruPKIomX4uiiGc/+9n8+I//+LU/wmfWk1/eidD7iq6TgC/Lz02IH45QQSjC7gmPafcpJgWTd+hqFTcYTPLrruI2OY9pNfGDAS7LsDs7V7TvA9zKZVxeCLLg0io6qYB3FGVQrwpCzN4lyHKKCwI01FEk16UkkWiN+dnJCM4nEapT4KcauwG91kpqfKuKKUnBFBbqNex0HZVb9CgDFeFrVdQwhcvr5LccJFxpgzEE59ax++akc+U9LjIUtRBdj0jO7pAtNYXVVIIos1ZEMBBSMx7irRGjxUTQTmWBkdeDMpNOMseKqik5OyXAshSFK1sKwJ10BDS+JDZLMaWtB8ukcLLxLqrAGXARhEPpNozt5TZUFLHoWaKe0MeDkSfsWToHIkzkRZ80G8kxOM9wxlBdK9CXt/F7xAgy9WCPohGRzQbycyjpco1HY64s2rwpx4NDOR7lrhCLK8mbM0OHV5ogdcRnN4mdp1iawvRTfD2hddpCGFI0QrKpGer/dJGsqUk2LevffIOM+bYh2XCkU5rpjxeMpgy9PYrWaSkaBksh/T0yDkxnIOgrtm8wLP5jSm9PTLIWcP6VEUt3W7ZuMbgAugcN08cEMjrcaxkclEIg3AjZ93c5O9fHNM5pwl7OYKlCZTNnNBuSbFi09eQ1TdhJsfMJUTsnnY2ks9O36Fz+qLLpiHinQBdC81780wqr3zNg4S/r4D1ZU5cCfE04EBSDsl5+N2XnyEW6LEQdNtG7Lsyg7L6ViAJtob9ohMNlFL29sbCYYoXyWlhgVfkbTVsSv+JL8b4LofWX96JqVRFUj0ftzmOmW/jFWVQtJrzvtLhLlcYc2k/3tnnahw3+poCoLaJ/GTPK76G67qn+Y+nAc7D3/3uPbGhaDXxekL7kJqK/vXeygdOmT350ieCkQtfqYiS5vIkdpeiVNVyvj5mZgodPw54ldKuJvywyku6LDlzb8+lTtb7E47Vf+IVfYP/+/fze7/3e5LZrKbH5fDjleCmlqFQqHD16lDe84Q18z/d8z6M+/o1vfCMAP/uzP/uoz/Hlcuor7/3j+lV9z/d8D//tv/23r0geU6fTodVq0W63n9Dxf8WjByYfqivcLuVtUTTRICitHlFAXeW2u+JjHUUTXMGV30eV+iRXBvsGe5cpLq4Ie6lWxa5tYA7spTh9DrwjmJ3F7uzsclqMkeKqfBzeERw6iFu5LAL0el0iEZLKbjxFVFK7C4tryFjJB+UI66GT4tI7elCKoKp0qXQ/hcJSLDRRmcVVjGhPEMhg0B7J/WvxbnCqEr2HjfSkWBG3nWhFcDJ2w3qidkY2FUmYcYm0CoZiAx/nw42RBJJGXxZIY2hm6YbzWnbpgHSbQuna2IgJFFMXcqEDKU6KirihTAp5deyMkvFdfVXGO5WNjO2bKoQ9AVi6QOGisW29PN5U9Eb1vzsGywv0b5gm3kwpqgH9PSHN0ynbN8poPmuMs+aYHPu4wzPmMA3nNJUtT9ZUtE7leA3JhS75TJWsFVB/YIPeLXPEWxmj+ZjkcspgKaZ57xp0e5z8D9dz5M+24cIq6996M53rYPkfCgbzhnDgaR/WtM44bPlzjLtcwVAy+DZvh+YpRWXT0TmoibrinIt3YPb+AXk9wIws/b0xnUOawX7Rp+lc0TipmXkoQ2eObCok7BW4cvMRdnOKasBgMSx1ZLD+XCmC9/1diirZVso6ikaIGVnymoxbg4FFp4LA6B+s48tiJ69pqpczGeXVhR/V3R8y/7F1+jfMUPvH8zKOzgs6Lzk0MQzYWIP32Iq+6n3kyqgeM9rtNAcDh4vkPWcjxWhaYyuiT1v6o/tww9EjQsABKVIqMUQR9vRZUJripbczXAxpH9JMH3e0D0nR17nOM/0AZbg1NM/m9JcCpv7w7gkjbvsNL2L+rx7GHt6D+uwxEXZ3evK3U2ZfqjjehWAWhYwIyw2cOnIA1R/gVtfkb11rIYOn6RPOm3uy14zH+vy3fv9bMdGTk7fYbMTnfvMnOX/+/FXHGscx8aNoum655RZe9apXceHCBe666y727t3Lv//3/35SrDzZ9Su/8iu85S1v4TWveQ0vfOELAfjkJz/Je9/7Xn70R3+U06dP80d/9Ef82q/92jX7nl+K9biJ4G9729soxsTmK9bW1hZBEHxFFlP/r1zjTtIVMQUgwb0uy9BJAimTE9qYswLsBgIjxRZjKKZ3EzLwOBZhDNIsLq6IjkopCAPMvj3S0TmwVzLFrMUsLZbk5RCGI1RRQBwR7F2WuJPLa+ipJj6VDpZxDjU7A7UYH4u2hMLKY6sxnF9F12v4dgd1w2FUb4QLDV4pzGaPYq6BnRNHnelmJZNJCVyxGqALT9GqELRHFFUJslW1aFLEqDE5vHQsjXlNMsMoCd4le8hroX+PeThhpyCdDiYCbqfLfLny6zqX55VuwG5RBld0bJD/XbArAhVIp+zoTS4Xy7xaPkcZw6ELT+dAQGXL0T0QM/vZPp0jVaJuQX8pkigWRJc0FpVr6+n/ixvQueTTDeark9y6rZsrk+NRthy/tUT8XVSFxRQMPGlLkdcliLhIpHjbuikk2fT4oCldk9STHpymeqFPUY/YOWIIu/K7yPdMYfoiC1h52TR5fZrqqmf+057+UkD9Ys7WzSHNcx6dS95edcMymjLYWFG/kNHfE9E4oygS2LhdM33Mc/nFniPvzLn8wpjRfMzWjRLsq6xn8Z6M81MhZqSwFc/cZ0d4rTj7mgr7P5RhBgV2XBSXMTk2lvHj4sfbrD+3xdIny78PNf79SYcyutwjv26K/rwhbmtan9pg/RV7mDoxYudohcZ5KSj7yxF5Il0kuxQSdT0bL56nfjGn8zUHcaF0JG0k0FWTeaJu2R3r5YzmQsKBxUYSsDxcCDG5L7VVilwbtPWkLU0w8jJuLUqA6ZiirTRjnIDSSqC0O+3JqH/zDS+ifYMn3lLE2xC3oXNw3BWDqQfH6Ap5DfpLAZUdR7AwR7G2galVmX37vbB3GdMb4W4+ij9zEd1qTLRUulqVc08lRlmLS1OU1rLByzKCHcmwA0oUQh/dqPPerf/f4z8/fonXtcye+3w7/0//9E/zMz/zM4+4/6lTp/j1X/913vSmN/GTP/mT3HPPPfzwD/8wURRdE7DkRz/6UX7+53+eH/iBH7jq9t/8zd/k/e9/P3/xF3/B7bffzq/+6q9+0aJpNBo9bTTTj1sI/rrXvY4//dM/fcTt73jHO3jd6153TQ7q6bq+ogXh3k1a6+OMqDGP6Urn3HjUZvuye3N5IV2fsmDSSUUCeaNocj8dRRLYq/RulMJwKHyWbhczM02wd1nE5fUaY3TA2AmjplpC+zZaCiYlehPVFL0QcQRJRXQLhUUtzRMcOoiamcJv74gAd7uLSgsBWsaRFAhxJCfYpQXUZhvf6UgafVbgmgnKe8ywuMol5iIjLrGSyKwKTz5TJdrok81XsbGM6bwpO1hK7P/jzDkzsKUzSQTY2VSECzVFTTpUlY0UG2uyVoDJdzEAJhXtiDe7IbpjfVC8XQgpm92xlwvLUdj4ZOt3u0wmK/k+ZdiqtrtnY5NKt8WMPKMZucAOlyok6zk6k3Hb1PHywuM8QSrPM5wxDOcMRaIxmQi5lS87ZYXolnIBYmPjMQKhFH43JL+ssuMnHKTRNCWkU2jTUtgIsbq/HJG3KoTrfRb+KUVnlurFAdlUCNaz72/TicDZZCKI9xpGMwHxtmf7RsXaczUbL7a0D4uDrbLtuPiymO2bpeM382DO0j0FyXrOob+2tI/ENM571p5rSKehcV6qwNFcQNRWzN1rmf8nGYmZ1LJ4j6O/FNK+vorOPXmicbFhsBjQOpnSPFdw8jtazH/asXNdGWYdiMYpbxiyZsDm82bIq4ra5YKsqdh+yR50AZ1DFeK2YzQXkDY1LpDj90bek6MpOW339oWMpjXBUF7XeNsS71jShqa7J2A4Y0hnAoKBm4x+0qmAqGNlXFgW5mlLE3YtyaZFFcJlSjYsM2//zFXmkPFSUYQtsyXHn4cDR9hVVFc9eR16+0tel4HRDAyWmIxzo66jtlqQrAykC6aVnAMqcQmiHZVh2lXpZAHB3mVsry/nl6RyVcyTyzJMrYofDMV8sm8PKknkuLu9x3+u/HIsf43+AefPn6fdbk/+/ef//J8f9Vs653juc5/LW9/6Vu644w7+3b/7d7zxjW/kN37jN67Jj/S+972Pr/u6r3vE7a985St53/veB8DXf/3Xc+rUqUd9vLWWn/u5n2Pv3r3U6/XJ/d785jfzO7/zO9fkGJ/IetxF0913380rXvGKR9z+8pe/nLvvvvuaHNQz66lZV/FVnBeOUpKIwHM8eisDfnUoJ3pdicVZVy43HMnnQZk/pZWM58ZjvCuznZRGz87ge33c1jbKGBm1FXY3Xy4Q0bQUR7HoGnzJaEpTKaK8x69tyG1TTRgM8fUKvlGFPYu4sxfwM018GEjhVKuABrd3HjtVky5UNcHvX5ZxXZrLWK7UKulcNFBea3Rmida6hNtDwpU2OiswowJOXyDo57hQ7P62zIeLdlJMKnoTkzt8oKT4QDo645BfZb3QrpNgcvGbjEyMXFD8WLxdKUcomRRAec1gKxqTSgdB2zJclV0huQvK4iuXx4zHYThK4bAUMUUiGqdw4AU0GShGU5poJ6W3v0L9Qko6HdI6mcqozjARIrtQMZo25FVF1hAmVNx2tE6noGQkN32ykLy6jrjkog4T59xgQYkAXUNRIrPqlxzxjkAobUm4rmxb+nsihgdbkgXXTUnnEqqndsjmqwTdjNbJDJNJcVbUoHMYwoGjumE58J4+YRcoFGYkOXfByBF2oXFGUAnrzw5RRRmynGiaZzOijmX2fkfUhXOvCmieyYi3LbP3F9hYUdkqsLHm+HfGJGspzTMj0inFyp0RtUsjVl8UUdm25I2AzVsClj9e0D6kmXkgI68ZgUmWfCRlPUVVomd6ywHJpnRh+suiNbMVEXhHPYGSmtyL4/ByQdSX21RZx4ymNIN5g4tLcfumJeo56hcyoawPHe0jASaTXLqioiej4epqRnXDTgCsNlbMPDSk9r7PCg6jdM8qYzDzszKav27XxQYwevmzGCxooh3YuUHRPexwkTDF+jfl5A0I+mJ0SNYLuvsNvT0B+tg5XLsrm7PNLVy7gz1zDpTm4Z+6me4LD2AvrqAbjUnxo7SCUYpZXJBRflxqa5XCZxlmzyJ+bQPf6Yr+sZo8mVPmV+RqNptX/Xu00RzA8vIyt9xyy1W33XzzzZw7d+6aHMfMzAzvfve7H3H7u9/97gksu9/v02g0HvXxb3nLW/j93/99fvEXf/EqDfWznvUsfvu3v3zC/sc9nkvT9FHHc3meMyxHPM+sp+nyDp3UpWtUFka215t0nZQxqCjERKFEoRiDCoKJ4FsFITqpYLtdAc5Vq7jhCB0q0RmV2IErv5/baaPqNelWFR10rTwBej/Jg8PoK7pPHnoDiq1tgvlZsREHRtAChZNAzlYTtbYF1aqM7BbmJCYlDHD1GL3VxU81AI9SHm8Mbq6BHmQCtWwlmPZwElzqPOjcotMcf+IsxfNvwvRSqIQU9Yigl2FvP8rYJeeNwii5yOTNmHA7lcT6YY6PAkZLVSrrI7Aec3Gd0bP2gVZlzEqOLvSE1WMy6VIUVX2VbmlMjB5Tm81ItE5ZKQT2erfL5JQUS0JvBpPvir+1FR6RjZXEnsRyoTaZdHoqOxaVO4ZLCdMfOsng+YeoP7CBq1WYffA8bt8CeauCyUJ6ezVhLngBl4r4W1vE2p6L86q3HDDzYMbWjRHBQLpMUWcXPWDD3WPXhXS+Ghf7rD9XTpzBUE9+rnhjRNGIBBKaOlwSU9QM8T3nWPuhW8FB2JOu3MI/iqjdGcVoscL8Z3LSs4btG6F52jOYN0QdyGuAUsw8VEjXpx6InigvuyA7GTvXVZm5D/JmgE4dnUMlb2nFoVPL4b80bN+Y0DiXMXtfWor4PTqVMW3YyegfTJg+pph7oMBrcT+GA1fqpaRLZ0ae4by46/KygJp9sKC3HLD4rocZPvcw6bQhqxmq6wVZXZM1Avm95jJyNdn49wudg4bmmULGfwX090YiDI8U1csSLu0riiB16FyKtrwpjs/BYkDrxJDkf35u0o321qK0ovNtz2Xq0xvYE6fxzqMfPDEZ76soYuvGkPqqY/tGTXUVepGiuqJkPHs+xKRQ3RCHZ9iHqRM51QfXcHk+yb9UcQx33AKfeQjXqnHDzz6IT1OIIobPO0zywAq023incWvruLyQ7tJwtJt/aS1+uy3ZhFMtqFZ5z6lfeurPq9dgXcvx3GNdd955J8eOHbvqtocffpiDBw8+uQMp15vf/GZ+8Ad/kA9/+MMTTdM999zD//yf/3PSzfrABz5wFTz7yvWHf/iH/NZv/RavfOUrrxrxPfvZz+ahhx66Jsf4RNbj7jS98IUv5Ld+67cecftv/MZv8LznPe+aHNTTeX1FjuiuEIFP4ghAAnrHxHDvxAmXlRlNQSC6AGvRtaqM4MrPVRBKQdWoS0xBJlwVl46E+k3ZsRp/v7yg2NiS4qlWOu8W56HXF+hknkvxVBLImW4RzM/iiwLfH0BvgOoOcKfPQTXBXVzBL87ikxh1aD++URXMQJqhNzv4RhXdHUiMCqBHGV4pfBSguyP0IMPVKwSbPUw/k+5Qu7z/zUckV6wSSlZd2QXT/WyS+aas3BYdu1iyeRwuktR33RsR9Ar0IBPSuJULOWWnqUiMxFY4CHoFNlRUNnN8KS7XuehxXKgnGhRxnklw71jU7MrxnysBmGPnmje7OAGU6JJE/CuPNZkn2XBkNTkGrGc0Jxl9m//qOgA6t89TTFfkPXD8HGi5qI9HAEG5N0o2PKNpRW+vQZWiZZ17tm+IiLqeYASVLSbogbAHPpSQ3qVP5Mz89UPU3ncfup8ye/+AoirHGgwcaVOVwn4nRYZDKO0KsDJGisoJTe1Sgck9o5kAkzt06hjNBgwWNLP3O8KBMIlG8zB9LCfe8WxfL/tFW9F4o0hnQvk40Mzfm9PbL79n5aF5pqC24nCBJm+GuFg6UyiFGcoGcrhUYenuIUXV0N9XhWpB5+BumHUw8oTdgqwhXZ6soUmnBdOgCxgsanZemLH23IDFu9bo/IujJWhTuoRpS8CkOodk05LX1CQjbgxEdVreFyYtR7kahrNaXJArZXGHjN+8UeJ6DBR5zTD9x5/CfPIBVNlhxjvMwX1w61Gaf/VZ6dBG0eTve7za3/ocqusicE8uy231syUrLPNUL1NS6C3V1ZzkfIewmzM6Oi9C7bLr7dMU/4+fwyzOw/EzcGCZzdc9B59lJKe2JFNOaYHxIh0nnxeinwyDSf6diiL0wjy+KHBrj4QwP23XNRzPPdb1oz/6o3ziE5/grW99KydOnOBP/uRP+K3f+i1+6Id+6Jr8SG984xu56667qNVqvPOd7+Sd73wn1WqVu+66i+/7vu8DhPr99re//VEff/HixUdEsICMFfP8y5cj+Lg7TT//8z/P133d13Hvvffyyle+EoAPfehD3HPPPbz//e+/5gf4zLoGa6xbGmfLfZ6wc4wkUFoJHM4Y3HAoAbr9gYgt6zVcu4NuNKRQ6vVxG5tSVEWR6Bx6PWw5hhsXV77IsaX+wG5tC1JgeUlGbEWByrLdkNJGXajfYU00TZWKdKpmpiGK0HOzYIx0lrY6wnCqVaVrlRVg7USU7hpVwQ+kOT400gWqBNiZci7kPcV0jWBT2v4+DFCFw9aiXcddoAlXO7hGhXwmwQwLgs+cgMP7UNtd3N55wvaIbCaRkdvRJYK+cIZcNUJ3RoxuP0j1sxcY3LGfonQ0mVw6PqPZEG3BVs0ERhkMLFlL/iwFThlMRmMuVBPtU1GRTgNORNq2jGIxqXRzQMZqqN2La55A3HHC9KmF2FgxnA+obMt4pno5J2sGZA1F1NXYtQ0G3/hcUDDzl/fT/Ve3MprWFDG0zlo6Bw1R208CY4ezGpMyYTS5QLROwVA6IYOaXEDnPmul2zTVwk/VUGdXCYCZB0NGswHtI6Fk59UCwnaKzh22EjBYiqmuppO3dToNs/eLsyzsFShrcIHGh0LEHllDf1kzXISwDToFShfd/L05O9dHVNdkpDq262fNgHg7Z/EfFXmiCQtL2BVqNpRRLf0yDkVB0QixieT5DRdikvWMvBEw95GIZNOWoc+iu8qrEV6J9spG8rvzBnovGWIzjQ4d+Y1DHvr3c8x/SjGaUWWRJET4sCtw0qgnY1FdeLK6xhuobDrUlBaKeMswWFBUtkVf5I1iuBhPNEVB6skahtqlnOgfHhCx97hYugIf4s5fxD3/FtRtR9GnV/BKyeZnQjTXOANbtyiql5nkDNoYKttSSNVWLY3zflLoZ4t14vvPY287IM62cvQ3Xm5jC1/kdG9oMf+RVTi4H7+6BrZ08F63D3/vQ5PcSx1X8GV3Wzcack4ZjgSkG1zN9Xk6ry9Hp+kFL3gB73rXu/jP//k/87M/+7McPnyYt73tbbz+9a9/cgdyxbrzzju58847n9Bjb7nlFv7+7//+EZ2vP//zP+eOO+64Fof3hNbjLpruvPNOPv7xj/OLv/iLvOMd7yBJEm6//XZ+53d+h+uvv/6pOMZn1hNck6BemHSXxrdjjIzcrgjhVXEM1uGtaJTs1jZmZlrglaNUEALdLmb/PvzWjgizxzu8WpUgqVBsbJXEYC/J4mM91IT9ZCkurqArsUQfaC1izzzf1TWVDhkoXTA7bWyZcRXceJTi1BnpfO3bIwLu9R0puEYpTDVRucUbg+6OcI2KhKBSOt6cx4VjkrbCVeX7+CRE91O0UeitLunRBeIHL0OjhotD0dZs9qDVJG9V0EkoupR6NOmkSBHjyGsBgVGk0y3CfkH/efsnnSSvIOzk2LlItEWdnOHCFZoDpYjau866IinHeCMZbygn45ZkS1xhKIFfuoDJ/cO+iL0lgHXXYQeQNRR5NWTq4QE7N1avuF0Tb+W0PnIStzxP/0iD4Pm3yNhQwfBf3IxyntbplLxmSFuGqOOZfnDAxh01BvMaF4qOqrbq6C/J52FXNE3BSDbCi/84JDyxsktrnqrhDi2jVzapVCKKquTEFbFi52jE1AkZVabTAfWzfWw1xFuLjctoltyRLUdUNqVLF+2kjBYqjKY1zXMFO0cC4q3yYl6B7j7BAeQNOf54J2ftOTEzDxe0DwVMnSoEK4Ect3JX6IsySzAQlpYZOUwu3aesLsUKwGApIurIZiSviYg7WSuobFvBE4Sa0WyA6UiHqb8fcFA9FjO6dYjNDTQLNm8LsVXL3D9papdS8lrAxm0RUVeeN25btm4U4butKNKWIt5xXHyZIWqLlqt7UJxsZgjxTkH7UETUc1S2LPXzA9R9J6QY0VdgMq7Ip0RpgjOXRX9Yr+GvoGqbhXnO/W9HyJsw8+CYZC+0TBdJYZo1RS9X2REhurGecCfFbe/g9QFct0uwuCDGjXZXhN9hANbR+oezuM1tcfKWukqzfx8MMnySiDN3fg673S5Pb17SCWZnJOB7Z4f3Df/ocZ8z/9+2vvEbv5Fv/MZvfEqe2xjDysoKCwtXByVvbm6ysLDwRTlLP/VTP8W/+Tf/hosXL+Kc453vfCfHjh3jD//wD/nrv/7rp+SYH8t63OM5gOc85zn8yZ/8CZ/73Of41Kc+xe/+7u8+pQXTmTNn+L7v+z4OHz5MkiRcd911/PRP/zTZlfqZL+H6ShnRXel4GTvkoBSEl4G9ZmYanwvZF+tQtWTyWHHSKekQhTLCUcbg1tYFQKkVeqqFywvc9g4oJWO1wQDX60EhQvPym+6ekL0DaykurYieaSAjPMKwBFEWIhCPItFUNeqYRoPgpushzQkW5tHLi9DuYo+fkny6bk8Kp/5Qwjv7I3wcSMHkkGN3ZWxEyWHyWmEbAq9UaY6dqmLrMQyGRJd7uPlpGS3WQ4paOW5cmsFWAnxgUGmO6efE6wPCdib5Ytt9ovf9ozx/oEinw0nMh9fSKcpa8lxegYukgDOZKztLRiJYMj9h6YgmpoRflkWMhLf6MjKD0nmnCEYySguG0pHKE7HAKydZdi6UYqq/N6F5JqV1KqV23wqzd6+TTofkN+wlm69KzMunHmD67lWmHuyQnG1TO9UlPn6Z/mKAC6Gy5VDOUdl22Egy1rImdA9ogpEUBenM7rjQhVAkBj/bEsLzKEWfXUWv7+AWp9Erm0TtgqjryRswnIONWyNML6d2boAeZNhInJ8mldd089YqvSXN5q0RG7eFdA9VJX7EQX85wJYOLpD7j+ZhNFMS1gvPaDqkqMnrmWyKvixrGkbThqKiKGpmIqDOmxKPE3UKXCwxKGNYqS7kd1DZKkS4H6uJjiuvGwbzhu0bK+UYK6eoKgbzClezmNAxuDHFhA66AUGSY1sWnWnaRxXbNyYM5wMpFAdSeI+mDNPHC8KBJ257iqogJqK2IpvyTJ10FFVP94jDJrB9g1C5s4Zm7Y4Q/dDZq08W4+6RVujZGQHJ1hLcxiZ2awd7VsLYdRRx6UdfBFHIvrd9iuWPF2VhKB3WqO+obHlQitapjNbJEcnKiMbHTlJ9eAMXB2y+/nkkxy6LNCDNZLze61GsXMatruO75cdZVuIN6oIw2dgE68ifd8MkrHfc9dJhIOO6zS3cmQuSifeVtL4M47mnev1zCMg0Ta8Sdv9z61u+5Vt497vfzQc/+EFqtRo/9VM/xYMPPsi73/1u/uW//JfX+nAf83rcnSaAkydP8nu/93ucOnWKt73tbSwsLPCe97yHAwcOcOutt17rY+Shhx7COcdv/uZvcvToUe6//37e+MY30u/3+aVf+soQ+n1Z1qPkzo2jUrwVZ9y43a6qVTAau93G1KpSTSuN3dohWFzAjd0r9Rq+J6Gu5IWEZYaBdKlCsfu79c0JDM/nKeO8O4wRjU+WiZBzagrf7UnMSRjit7ZRUy3pPnkPWSYFUaeHqib41XVULDlVOghw3a50HU6cxizMQ57j2x0pqJzDVSIZX2UFPjSoUYZtJNKJ0nqSk2brMUFbRnymcLg9C+h2H2oxdr5JMCjAe+x0FbPRJQiNQCy1Ro8y8tka4dYAtboBM1PClTqzSaQVg5t3d1nOQGA9viIW77xuykJKkuXxUL00ZLBcEQBmUkITe7bsWkjnyAUiGLeRdHbCoez0bSQ6FWXFJTcGZ7pATfg7aVMR9xy2omgfiSUjbt8+pu/dov53x/BH9hLsDFG9Edmdt6E+8QB2z81ke2tUP3KM4YtvYPGvTkincrZFPp0wtv4P50RgDmI3LxJQpWekqEKyBsl9F/C9vpzfw3I8E4boC2vkN+0n3BEn3nA2Im4DDgb7q1Q2Mmw1wKSO9GtuorYqGq36hZTugZjRjGTKBSNPd59orJQXYGV/rzzPWItlY8EcVNek4Jw+5ugva+IdT9gTwnuyXkhXryS5g4i8u/tCki3Rkw1nDXFXgKDrd8DcZ6QILqqKqCPH0l/U5MuK+oqMZduHpWDeucWhMyB2ZO0YlSkqn4mxLxiiFHgtuXpFw7H98pTld8VkU4pRV5E1oHrZkzZNWRDD0j902L6lQf2CpxMohnOKxhno7ykBn+X412s48Oufm+A+BMI6foOWF7lWg8HzDlB7YE3gkiXcFqXRczPs+837cKUZKC/fo8OFkKI0G3gteiY87FyfMPdPO7h2B7exhZq9ldk//Qx+rJEcjvDHTpfnCIWKQuw41BuJXnK9Pt1veDbNvz2Gu7hCtLVD/+tuo/aJU2WEkwfKsaLz+CLnfRtfYV2ma1H0PE2Kpl/91V8FQCnFb//2b1Ov1ydfs9bykY98hJtuuukxPddLX/pSPvCBDzwlx/lE1+Mumu666y5e85rXcOedd/KRj3yEn//5n2dhYYF7772X3/md3+HP//zPr/lBvvrVr+bVr3715PMjR45w7Ngxfv3Xf/3LVjR9wP3Z05oQftVo7oqW+y7V105CNb3zk6BdAJ9lsrPLCymyCrure7BOih/nJ1okby26mkxsvroSl1wni2k2pOt0BaGXLAPvpPip1yjOXSTYv0c0TKtr6L3LciBhCJ3eLuxyZmp3LBgG6IV59HAE9TIHcZRKwjlAUWA2OrjZRkkML3C1GNNPUd0hzDagLKaET+BQuYfQoPojfLOK2tjBNxKJSxlZvNH4JEKnOU6F0pG50Ca6sE22b5qoX5fizGjcdI18KpnErATDAj8dkTeEWu5CKXyKqpFRphZEwXCxQjBwFFVh+sTblqwpxVXYd+R1IUzjvUSUlJ0jVybbu3A3fsUFpTA4L8GHJVMpbWrCgbiutPU0H+6iBikszTPYUyvBmg3hML3wZsKHzhOGIfntR4Q/1R+gZqbIFmoM50P6i5rKthRuWV2Ezq7sPPX2KGwkWqsg9fSff4Dq6TZcWpP3kC2zxeZnMf2Moh4RbQyYOqXZuS4oO2caNRORrA7Rg4x0qT4ZierMYVJPdU3I1kWiSDYdvT1aMt9qkFymtNgL3bxIYDgPzogeaM+HNqldqrJztELnQMDUyVyK4gJGswFx25YFtqd1JiVtBQxnDfUVEXaHfcfiJxVbt2j8KcNoRtE6bRnOGYKh/J7yRDRnlR2HzjzNs45zrzZUzkSM9hSYgaZ22ZHFBd4pVKbJ96X4XGMQrEDruBSA9fOe7iFFulhQOx2gM9i6rcHWreD3jAhOJbSPemoXFfmMJU0NlQ0YLXqSjfKPXGuU93jnJl0bEWo53OnzVC+uYkvm2vhvfPgNz6F+7wo733grzeN9AUxGiryqqGw7eV/1JZR3NK0Je4qo53CfeYjgwF7cuYuY8+sUoxR9w2H06gZ+pzPpiGevfB7RB/9pch7SJSAXpai/6x7U7AxqqYWbrlP9yDHpLFN2mcbaqCtkCM+sL8/6lV/5FUA6Tb/xG7+BuUKzFkURhw4dekwsqH/7b/8t3/Vd38XLX/7yp+pQn9B63EXTf/pP/4mf//mf501vetNVfIWv/dqv5f/+v//va3pwX2i12+0J6+GfW2makqa7wtFOp/NUH9bTZk0E3+XHky7TFdoilJ7AKwFUefLxzgshXGl0vSYguyKXnWGWoYIA3+5IIRWJsNuV2XSqmkxEs7KTHGIWF3DbOxO8QbC8RLGyKl2isWPOeahV0XkufCaAKBKNgzFQre7ynJoN8B63toobDglqiRRYoYDxCEMJ6K1FUDj0pTXc/kXMyUsw3cLXYvSFNdAae2ABnRbYegUzyOT500wKvEYNH2rCdemy5bM1/HQVV7ry4uOXSa9fJOjlBDsjKAq8qWL3zEh0Csi4IxVBdryVMVyIMSMn8RYwcdLpQrRWAD5Uwp0xMlIMexZVFbAknquCe8fRK94o0lb5eAXEUiB5XUanFB5V7D5WOc/cx9boPHuB9o0Nmsela+ZCRe0zF7GrayhjWH/Dc2lVDmErmuRcj+BzZ1CtJnZ5BmcUtQsjnEkIRp7Bgnx/k3pGLUXWFCFzZVPGos6ATh2qO5D3ZxRit/rS6Wx3oVWVeJLZKkE3p3Uato8GpFOKrGfYOVwX1lRVMAa6AD3MiDoh6ZQhawjoMa8pEaQbEX8rKwypyra4/SqbZedr01FdzekfaZE1JHg46o0LWoWGSfRI2LOTcWqRaFqnMzZuFz1b67Rk3+39SEr7UEzc9mzcbqhfEAp666xlsGDQI0/a0PgAuoc0jVOKdAbw0Dqp6BxWuGMNggGom0Z4q5j/h4CN/8Wz+cICcoVq5aTXQ5zkVIDggQY2gvWvKUfO/RDqHp0qRnNQPW/QKTQuWvKGYevZjrl3CSJhvFQQYG89gv70sfHJQ+z+sLvhUprqB++HhXlMBvrEeVQUMnzpFMmGFMvjvDsbKVqnMwZLITPvP4FvNfFbO7h/8Rzcx+9H334TPHQKP97gAKZWxdx9HFtu6nQYyHFkdrLR88MRbmsHzjrJohylk8BgpdXV+smvsPXlEII/Vev06dMAvOIVr+Cd73znEw4AXl9f59WvfjXz8/O87nWv4/Wvfz3Pec5zruGRPrH1uN9d9913H9/6rd/6iNsXFhbY2Nh4lEdc+3XixAl+7dd+je///u//gvf7P//P/5NWqzX59/l4+a/qNbbyXpEXdeXHYzDllUsFgZC+r7iPL3UFptWS/KcxgDIM0K2GFDXOofcuoZIKbqeDT1NMU4I35Rt7VBSVovM6dm39Kn2TDgPs6hruwiUpiLSRjpRSIhbWWsYIzqKmp6Dbw11YQQUBpl6X+2kNaUqxuYk9cx4/2xJHnLX4pTlx0WUZ7twFuHBZxhPGYDZ76EsbBKs7qHYPzq3gGzXY2qGYraM+eq/c/+wlgrsfJDy9RvzQRcKP3YebbYpGqp+SzyUQx+QzCUUtLLEE8uMHg4K8GZDXg4mweAylbD64RbKWUn3vZ6heHE5uFximI68Zwm5eBvvuxmMkazlRz5XZbmWRWiA7/VT0Tc4wSa+30XikJ2O7vKohkK5XUVGY3ohsvk714oDBs/ZgDh9AJRXmfvtugg/+E7VPnWN4oC6xNYEhnRbxevdgwmhasXNUT8Y/4xFhMJQOU9YScXDUlbDh7OAcoxceFbDheIybZejtvhSZucPFhsraiKgrWqisIUWQyUSgPVyArAWrd04Rb6VUNguKRIpM5aG2Yic4BlNe/4tETTRWqhB34faNMXndUFvN0EU5ri1djuu3BYxmFZu3GobzIcP5EBdpoq6lvxwydaKgcd6R1xSNszn9pQiTe7oHFbVLUmyZDLK66OoqO27i3qudl69F27D/PYq47XABzH3WMfOgZf/bAxY/GNFfVjAqafMzGfOzXfYvbaG1wxj5/cfbUDsREG4EBI2M2nmFTdxE5L//z8+zcZshasPSR8s/bmuly4R0kc58Uw091ZycJ8YYknEOpNIKn+XYC5do/t1x8J4L33k9yYa8yZWDqOdQzlNdK8gbhsq2pVjfxLY7uOGI4BMPoJcW8J87jp6bwQ8G8vdficmfdwO23UGXBpDOtz1X3HXl5i9YmJO/171Lk+NTlRgVx8Jrch6dJKg45v3Znzz28+TTZX0Vapo+/OEPP+GCCeB//I//wcrKCm9+85u55557eN7znsett97KW9/6Vs6cOXPtDvRxrscd2Ltv3z7e8Y538JKXvIRGo8G9997LkSNHeNe73sWP//iPc/Lkycf8XP/pP/0nfuEXfuEL3ufBBx+8av558eJFXvayl/Hyl7/8i1JBH63TtH///msavvh0HtEBj9x1XSnIvuI+uhLvBvFaO8mOU1EEUYhSWrhJoxQVlVZe71HVRMZspS6JNJUOVK0qJ+ZRKhfEmWnpnrQ7oDWuDAf2RX7V8aggFPddqyGFkHOiU6jFqH4qXShrodXEXVwRsflUi2J9k+DgftylFcmhuvGojN7Or6KqCXb/PGajWwrNrQAzYxF9+6m65M09+DDB8hJuaQb/2WOYQwcoTp4WaOdzb4RP3If/X54to7HNAco50j0t0SNBmZ3mQIt4W6z3VwArywT6sX08mwpofPI82dGlSQxLkWiijkV5z3A+LAunUttU6kXGifT18yPyVshwRlx0JhPdlI13O1AuUIQlPdxGUF2zDGeN2M7L5515oM9oPibeylAOtm9MMLkUFdXzA8zathSEiw12bhgL+yFvqFK/ItBIk4tTT8TREp+RbErnprZq2TliWPzUEJ0WmK2+uB1dCUCNIlQU4hdnUf0R6eFZ0lZAXtfkVUVek5HfmFOFRn5nCbROeKLe7us01nGNpkUDZmP5l6x78rqislXysIoS+tmT8Vu0kzOcjwhSz/bRgKmTBe0j4lCTWBr5HSgnOrP+suT3DeeMMLQ81M+N2HxWgo3AVqF52pE1Ncm6nYTnukBJpqD1hEM/CbEN+/Iz2LH7rKHZeknGvj2brGy2mGoO0Hgya+h2EuqNEZ3NGtP3RAQDz/rLcjCe2gMxo3lP47RiuABHfuccmy/fz871ikP/o4s+dQGyXIomW9Lrp5q4Tlc2OlcEdI+xIYBsmIoC3WhALaH3nD0M50T0Hgz87mvTLRgshcz+w2WKk2cmp5nxqF7FsfDgSnjmlTEt4+87jmXSzfpEd6lLbYxamhfobcls0wf3YY+fwsxMY7fb17Ro+lIF9j77u69NYO+9f/iTT9mxPt71vd/7vV/w67/7u7/7uJ7vwoUL/Pf//t/53d/9XY4fP/6okO0vxXrc47nXve51/Mf/+B/5sz/7M5RSOOf42Mc+xo//+I/z3d/93Y/ruX7sx36MN7zhDV/wPkeOHJl8fOnSJV7xilfwkpe85FEBm5+//rl056/6dUVLHZgUJDquCMDyCq3TlYyUccdijBgYc5oYDuWiFgSglbTujZHOUq+P0hqf56KRKB135LkUU/OzqFEqF8hGHdVsQFLBTDUpzl3ENBqoKKLY2p7sbN1ggNvalt1lJcZvbqPiJfzmFmq6Jd2tdgc9NwPDEa7bE9feThs9PwfrG/iLq6i5WahVoVbFbPbkeeo1ipXLBMuLuNXzcuLe2kYd2k9w/XXYVhVzbhUXRbhmQnD0CGQZ+tIWLgxgUEawZDn53mniY5coDi1S1AKiTkY6HUusCp6wl5NNxdhYnFpjfEDYFS5S0LfiJLMOkwlkUFvR0YQDR9QVnciYHu21XORbx3r0DtVIZyLS1m4o6oS2bb0UC5EiKHPsikShChjOGXTOVaO6rVtqVHYc2zdVCUbiurMhBArWX9BAFY2JpievSYcknZLOTzAO5ZUaWMJ4q9IFUr4UpIcwnNEsfaJPf29C676uFNA77cmF2AMqjlC5FcZW7jCZx6W+7L4p/FCKpnSGUgPGZCSkC9HSjONkbNkwrWy5SXdNHHdyYZeYGYkjKSqaYGDZub5CsmEZzBmmH86xFU3jnFzMbSyRJuNOYF4TZEF/yUxGgvVLBS4WZ1/Y9/iOuNXw0NtjqGyLrb97QJGsy2uV1UUTJdgIRdSxjKYN2zdq8qYnqOR0hhVcrtlca9Ka7bHU6NK+1GRqcZv8nmmUhc439aATQz+gcc6hM83y+1a59PVLkGZkDSnedZrvFkzj/bJ32M1tzOw0dnMb3WqiKhXs2oaM5ZMEN0rR+/dgT57Fdbtsf8MNFBWhwoc9T1BmGgqcVQwHxckz0qmKY8YJAGqUSopAUsEP7eRcFczPCvttMMBMTWHbHcx0C9fpCdDSOWynS3DdIfzlDXm+PMeNUvzxU5jDB0Ep3n/516/56fRLsZTfzb98Ms/xdFrb29tXfZ7nOffffz87Ozt87dd+7eN6rjzP+dSnPsXdd9/NmTNnWFxcvJaH+rjW4y6a3vrWt/JDP/RD7N+/H2stt9xyC9ZavvM7v5P/8l/+y+N6rvn5eebn5x/TfS9evMgrXvEKnve85/F7v/d7aK2/+IO+BOtpKQj/fDHkOIy3yCdapsmOrlKV0N1KjO12xc59cD/27HnpEDXr4qBRCkLJm/ODATgvcMLVNdk5etHtqKDUIIFEGTgvu9lWA3dxFT0zJUymKMI0G9hOF2XKk2i5+6TcgbpuDx2GqNlpimMnCK6/TjpNYViKxEuXjSt1TtUYf+o8+uB+fCXEn74gxV0YiJB8bgZfjQkCg68m+Mtrsps9uA82trAHlzHdIX4wlByrzQ7EMcW5CwSHDqKnWlij8KHBTpfhvbftI+zm4CFrRYT9AlsxuEiI3jr3JCsDRosJZuSIN4ZkMwnBoCA8dgG/OEteDwlGFm9Ee6QLGZ+ZtBx9FEwKrnjb0r2uRnUlJZ2JJD5FSQGjxhNBRRm1IaM3XXgBKWooQkVUeIZzmqmTGaOZgNGMor+kMSWuwFYoReSGIoG4BBVKALAIqb2SgskF5dgshdrlgu6+AI9oiGRkU+asJYrewYSpf7ggWIhuF33kIP7CyuRt6jpd1NwUOs1RPqayNiSsBAwXYsK+J53SEv2yqejvke9dPw+DeYWNDK2TAsJ0gWLr5gRlIW6LtqqyJX8TJlPozE+4SmOgaFE1NM7nDOdDwoEnnZLiUoolR9SRIGZUWbi1NMM56VpFPRmbBgNHb18o3SMFQdfhIkVW1/T3e5SXjkzjvGfjDnDTGfvfaejtFYSDctDdGwjV/eY+gfbkl6oMRlVU7Jm7fpPOsMKldov5/ducuzCHuXVA8PwMCoNJCvxOiI0kkJj+gCIGgoDldzxMftN+1GYblhfxF1d23XLlsptykVNBgLuiiBqP2e1JwRT0vum5FPHYcCDFqzPSWW2cGbB5W53l3/8svjSEjKNO7OlzmIP7cCdPC8nbGNyLb0V97LM8+IsHufknzuDTFNvuyEhQaVyRoxf2ymNbTRiO8FlG9pJbqHz27ERnObhxjuqnzjz5c+eXa30VuefG613vetcjbnPO8YM/+INcd911j+k5PvzhD/Mnf/In/MVf/AXOOb7t276Nv/7rv37cRde1XI97PDde586d4/7776fX63HHHXc8pZymixcv8vKXv5yDBw/yB3/wB1ep8ZeWlh7z8zxVrdanXdH0z60rxmA6iiYtce+8YAOqkuVEGVGgtBJdQSn4nuxMy44U3k9AmePATD0zLeG8UYSanRYMQEcE4N47oXuPx2NZhtvYmkQgXNUZKws9ZQz68AHoD/GDgaARkoqcPKfq2PuPCbogFeec3domWJgX4XgcQn8ox60UbmsbvWdJ0Abzs7jT54RHM9UU5EESwZmLuBsPwacfAKUx87Py81YTXKuKbg9wrSo4ESybUUFw32k4sMxoT6N0tVmKaoCLZEwWdkSTZJMAW9FEOznBVh/7wAncS59NNh2JSHw+Im4X2FDjYhlLRT1x9Y1mr4BdlqLRiYOs8OSJmrCCnGEyEhyLxaF8jJGCJ+r5ifbIxpQFQlkAjaRz5SLJjNOFiKizhrCHvAG8xKikLUXUK0ePZdE3mlYUNYk5iXek+9M8ndE9IIG29U+dh6SCv7wucTrWiU5tMEA3G/j5aVw1on1DXXhTXoCeoyktY7YNASdmpQ9l/t6cwULA9ANdXCz7wO0bE+KOp7dXtFZhV16TypYVJ2Kv9NkbATsq6+kcjEBLlyjsOcK+pbc3BA+11YKsYcqwZjVxiGlbdrysZzCvibryYksenbwuXkv0ycpLAlzsmXpA0TsI1RXo7wEfeBbvFudj2tSMZqUIzRuQ3TAs/yQUST1l0E6otoYkcU5/KF30WpLSH8akw5DGP1boHXIcenfOuX8VkVxW7PnwDvrcZenadrqohTncymXwXvIju91J99nMz+K7vdL9yiM2YMoYLr/x+ZiROPmithR7wUAielonBnQPJbT+8l70whz2wqVHmFJ0UpFxfVLBr1zGDYdXQXh1tYpemMddXhOkyRh0u7SAu7jC6Gtvo/rwJqQprty0Fc++jg9+5P94HCfDx7a+VOO553zXW67JeO4zf/x/PG3Gc//cOnbsGC9/+ctZWVn5gvfbu3cvW1tbvPrVr+b1r3893/RN3/S0mBw9IU4TwIEDBzhw4MC1PJZ/dn3gAx/gxIkTnDhxgn379l31tSdY813T9bTsNn2hVbrmAHRSkXa9teI88w6cFiddlk12o244mhRaKgrFXVYuPxyi4lh0UL3+rj7l8vqu5qleEwbTdlsKphJEqSoxwcw0dnVtgirQ9aY49pzH2wydF1LwJInQfkF0Vpc3CW66XvQMhw8CEFSruPVN3No6wb69uPkWer0N4zT07TbsW8KfvoDev1cu2P0+bk8DZS2210ffdxx95BD0+lJELi+gNrbENWEkq8xs9qkMc7KFOv7QXmwjwgwL6XREZjKqCLs5tiLFUtgtsBXNaDaiNsjJXvU8dOGpf26dzu3zVDYy0pmIqF2QTUnWWFHREHrCgaP23s8y+Fe3kzU0rhRdey27fCg/N/K5ySU6xV9xv/EYz5cC8aJSfh6I2BqkvsprlIG+EsgrQmxFXoX6JQmZVVYKA+VFuxQMFHkT6hegtibjGWVhOKsIe9DfE0n+Wt+y9bWHmHqwiy4KSDP8TBPlnXQbp2UU0ztYo7qa0z0QUlQkgDYYij4qbcn31dku5TtuO3ygJ4Vk1Cvft+UYLxw44m1xkHkN2ZQhGLhScybdIOVh89mW6jlD64wCDJVtR1bXDBakG4RXRF0JANa2JGGXr2/UFV1PXtstVIuqIBdGswGz90txdvlrPHouJesnBAOwz+6zdkihjtWw1w+waYAyDl9o6EZEs0Oybszc79Y49xpFMOPo9BIOzG1xcXuKvDDof2wwtS2aNa8Np74bZv5B0TkkHDIdhfhOVwrQS6uoowdRlzdxO20pZJp16Ryvb4rhIwxEk3gFH9dMTbH5DTcQDKWDWb0s75VgJD9/smUp6iGNP/0kqlWO36dbYN1V7CU3HOGv+HsfF1Vjl6/Pcuj28FkmX0sqch7Kc/qvup36iR3odCmu24OZapAu1qh87uKTPi1+OddXk3vui62TJ08+Jj3Sz/zMz/Ad3/EdTE1NPfUH9TjWYyqa3vSmN/FzP/dz1Go13vSmN33B+9brdW699VZe+9rXXtURejLrDW94wxfVPj2zHsMa7xrHQs9ydCbdIrlq6nqDYn0THUWY8s3qul0mYg4QDVOWyejLiNNNjVvn3k1E46qaQCWWE2cQSORKFJbibgeVGBVH+PVNzMLcJMvO7uzsitJBYlPiCsXmJmxuEiwviYi7pP6Os+zQWjpbY3G5cxKXMlVHFQ7dalKsrhHUEvzBPbiHxRqrbroOdfYSan5WdsFzM0L8btbxCzOo8yt461B5TrZvHvP39+LrddTyAtHxFeyBBYLNAcVcbTKiC7uWombwRmNSi87lAl09sUO2p8FoqSojnHZGvtQkSCW7THnIWoEUQmVXo/lwX47z6EGx7FcVGNEoSZEkvxcblS466ycAzHE+3bjzhJJOyrjwQP3/2fvvKMvys7wX/3y/O50cKnZV5zC5pydKozgSSEaAyMEg6xoW6TrwwxjZd8HFJkgOYLxASzLXYIOul7CxhQxcQAghBEgjaTRo8vTM9EznVDmefM5O3+/vj3efU1UTkEaTh37XqlXdp07Y6ez97Od93ufZxjKprecl+SwIOJu+E6sDCGsCApSR57g9+Zt1xQ/Jbxl6k46wUZkgPC4KeEApqo93CM4O6N44TbHZw1Z8uLggjObUOKrdJ52ukl+JSHMO9RM9dJzSPlhiMCYGlE6U2QKgsC4MxmHqE2dJDs9iPGmNxkXxDqpeSElzohfqT7kkOZlUU6l4WSUFRX/cydqilskvi/7MKtEjFRdjopKmNCdMmTKyruU58XIKq5nv1lDcbSGqiH4qyYPfsvgtiEuyYSvnevidHOAxf6clHY9xLhRJain64AC1lKewouhfP8BZ80jHY5LYQXUdooqi/qiiu17H78KFmxXpRkBYifFzAtrikmbsREzuHS289XGm/3qVaKYi4H/oywTy/fP9zHMtkRZ81hYbOvY/NVFg4T3XUFjLNGADO2pfhhXxv3I7CYMJn9zkOMnqOspxiG46hPv5h0dv405NjATnabcnuZVZjtyQaVZajdin0YSvo1n+hr24A8vmzWPUPn6ecPwAuuSSP7vOp+Y+/FzOhK+8eg22556KFay1LC4u8slPfpIf/MEf/Iqv/7Ef+7EXa9GeV31VoOmhhx4apQo/9NBDf+tzwzDkQx/6EH/2Z3/GRz/60ee/hK+SesWzTU8VhyNUu66WMUOH7zTFhtHIIyVtNND5PLpew/b6EpabhfniuugsA0rlAmGCSkVss4vaNSnib9fFbjTEzXu8imp15USd5UWRJBDHcicZx6jDB3AAPAfOz4nQvN0RM0ul0E6NZGlF3KjzASqMMBcXJcA3F4Ax2LEKTrmEXV2Xz0pTTCmHbg1QaQrWkFxewB2rY9IUZ/9ekuNPiIYiiuSzwghbr6A6fXnN7mms1kQTefwvn8QA7JvBKkW6uIRbLZOcPAtvPoYaMnO+RmW6mWFsy2Aqh5os4vQS3GZEf1aCfuOqj3HA66YkeREl++2EsOaRW4tlGZQSPcqeMihFbi0hrDukvpJMPSvTW8OJPTu8X8kAzejfCqLSFjOF3RkzogwjMbUaYuwhg+UKCHJ7EsRbvmyzaA9pAypj6U07xEWYemBAOOZhFQSbCd3dPoXlmMaNdXLrCW4nhShCJSnmyF7UehsVxZixEs5qC533xXbrQBW0ojjfxx0E+M0Y7+TcyKFel4rMvfdqFr/3KiaO92XUfTWkZCyLb/TxOgIIvbZMvrn9LcFyb9oFJaPyw5gd40jUjTB10Jv2MC5sXhtgPKhcTGkcdigqCU2Oi4qgyahl58QWJxRA6/az7ZJaCsuiWVs7ViJoG1a+LcSsamGumgq0g+04mMDA6zrkgbSXw86k4hBuofndbfKfrmTHFCQdD6cWoeZzVM/K/h9UFSp1WV2tsNtY6HRpH5hi/KQPlRJ2eU1Y5PNzxK+7Ft91SecWdt5IbZtmG1b4rlvwunaUc4gVSwuVgGth5q5NkmqOwh/eS5oBHaWVWHMMvZdyAcnK2pbNxFtugm6EeeiJ0fN1qSTDJ2E4as+bZgs9Pib7b2Dpj2v0/r3kP/0w6qoDX+MJ8ZVVr0Wm6alYQWvN5OQkv/qrv/oVJ+uGdf/99/Pxj3+cS5cuPS027Q//8A9fsGV9LvVVgabPfvazz/jvZ6v777+fd7zjHV/7Ul2pF7aeATABYGXcW1crcqJSessN3GSMkTEi3IaRLknn85IZBxLim03X2cxV3G40UGM16PRQ43Uxvmx3pD3X7cNEHVodbK+PKhUFPOVzwp60uthKEdProcIQdc0h6IXynFyAWlklmV8Ue4HlFfT0lCyLtaA19uR5WcaJcZn6C0O0UqiWuJK7Vx3GXJonbTRwDuzDbjZwrrsaFSciHrcWFaWoJBHh+yCGVhs1VkOHPubagyhjsI+dlmUDyb97w43oex7FefMxsJb8mTVsIcCcOI1yHHrfeDOlvznP4Ji0EeOJAKsVccnDGaSkZVesChzJOzOOony2hd5o73Bgt66idnyD1nV1EY6nYBhOy207cWYsktUZEMqYH51Iu+1pJ1iz9XwQcGUcad+hskgUA1Fl6z2HsSk6GjJPEqNRXDLEFRevk9La59Obcph8sE1cCcitSxhx7Z45TL0iDN/aOlYp1Ow0er1FvHccb60LzTaF0wk2cDHFgOKXz4nBYTYsgNKYZovp+3ts3FBg5dY8pXmDDhO071C+aGlcrXB7ELSEPRqycXFBbbX8XJkCc/uyXdxQRv91ZHEHGVgMLXFB0R/XmZZLjDTFDFOeI8HIIoh2Y4vTESuE1BObCeOJ/cPqLQqzFpBb1fQdydmzuwa4F/Ik2Xc0DD0KDYiMolbr0ljK0dvMY2ZF79Q+GlM849G/PiW3oXD7hrUbNVMPpiy+WaOaHpV7LxMf3sX4n5/B7J5Enb6EKuax3T563278E5fYfOcRap9Y39IVPdN5Qml6kw5+W3RcAH5XNG5xWawc+rMl3H6KHgKmjCkeapWUVuhKWVp/joM1Cd6ZRZKllZGjNyCWJo4I76yxqFIR02xhJ+ujoYapezZIz12Q89XJ8zizL98k1ZV69vpqsMLfVh/72Mf4gR/4Ad71rnfxF3/xF3zDN3wDp06dYnl5+Rm9Il+qel4jaNbaZ9QUHTt2jN/5nd95Pm/9qqxXXJDvU7PnsnIq5dHJzMSJaI7y+a3nOY4wTLXKSKfE8CQ4FIr3+tgwyj5GSyZdkogJpeNgm22JN3Fd9O4ZYYNKRWnrhTHkc6jxMXH4dV3wPAEoQYBa2QBAl8uofiQaKN/HuhrleqKFGC8LYLIGOl3RHxUC1JF96CmZyDTtLILFWmy3h1nfhG5PLhzGkpw9n7UmlWg5njyHilJp6601SKt5zKU5Wc9OT8TurpYQ4OuOoJoddKGAMzGOu9wk/vpbcP/mceKqOJlHU0WcA/swsbTr4qt3oxNDmnPIfeohihfbFM5uEBedkQZJpu0G6MQSTRQIj0xh6iUGRybp3ThL6inCmbLYCiRDhbeAAbsd9DhbWibZmNnjw/9bYQlsZiOls9H9YXtuyDIZX5iqoT+S1eD0BSgZdytjbqiD8tuyHnFB093lgYLJB9ukeY80p4mqLmmgsJUinDqPmhyXfXRgtwwIDEKZKlxcgUgmwNRaA+fy6tYBnLEhw2PceeAkWGHAymdbNK6vcOkbcjSuVuRXBMwUlmKisoAjmfaTaJnhNgoaBp0ZSkdlRzLzlLTcjKdIPYXXtRSXU5xItEtBS+wMxNF96710wqhV0p12iCpaRv4RdkpHCj1QErLb1ySlFPd8nnA6xtQjeq08aejQPhZhE03noXHyy4pgwaN8ydLfZVB+ymDSMva5HNXzBr+ZMPmIoTftkF9S5Jc0c9+7n43rCnTvOIg6c1nAd5zA0SOYuQXsrgmqf/gw7J1l+Z/csbV9nyr+1jKBGNY0SUFYxv6EDAXkVy1+y2JdhXvPYyNto77+yI7QXOV62OzmayT69rPvchRtgaZswnfk26Q0zsS45NMB1eMbmLyHrlZwZqdRWvGpCx/kVV/2Bfp5Bdbq6ipf/OIX+eIXv8jq6upXfkFW//7f/3s++MEP8olPfALf9/nQhz7Ek08+yd//+3//JdNTP1N9TaDpd37nd7jxxhvJ5/Pk83mOHTvGf//vWwGJvu/z7d/+7S/YQl6pr7GGd43Dn8yBO221d6SDYyzkc+LPks9lbboQ0+5s3TGGYlIJiBh8rCZTZyA+LFn2k40i0BK8ST+LFsn7crKOEzlx9/uYakF8lcYzx9gkwXqusD2TdRF2lwqYywvQ6WEDl7SSR09PyGednyfaN4bdaEC5JOPqzY5EoyytQC4QHyfHwbouqliQnLv9U6hcbhRAmh6cQTU62AO75YTtOphKHjtWw1luYm69DlUuYdsdvJNzOO2+jO/nXLnwX3eI5PAspCn+utyt+5+8V8Tpf/UAybmL6JuvlXbd3cfxTy7gN0L0dYcxD50YpctbJaPvKOjuyeOE4gYe1jy6e4sjkOSGlqjsEJf0VqsEBAQZRi04yafbOhRUgjBZ7hY4GrXflAimbfY+wym8kZ4JRu0+Nxt0dMLh1Ji0vbyOmEr2xzWDMU1uI5HIkxx09hexrsIZGHJrMfXH23SuqqFrVbl4D0JUlGDXNzGbDUyrgx2EmF5vBM5tf4Dp9kbmizt+0pTJ//4QcREufHuN9j5FbhVy67KuxoPWQV+iVbR4NzmxsE9ObLGO6JeSQvadiEXrZDzxqxpaP5DpnOKCorCcjGwhnFDc2o2vGIxJa1QZaB6SjZr6ArjivAClpGSxHqSBxfgWHIhmY9ymi38pwF32CC4GlOs9nFxK+YKwiOMnDOs3W3SscC/lMIV0tJ/CMRerIKxAbsOS5mD3X26weaPh0jcrMak1Bpsk6M6AzjffhHniLHrPDKrZprhsUDddA0qjr79KwI/jwC3Xg9J4HUt+LUWlULlksAq8DgRNS+WJDdJAWno2EmCUPnqSNGvDK8fBRBHpZhN33+6t1p/S6FpVWuOuh3I9AcHjdQFelRKm1yNdWwetqJ/q0726Dg+cwHb72FaHTw9+92s/P76Catiee74/r6Tqdrv88A//MDMzM9x5553ceeedzM7O8iM/8iP0hhPTf0udPXuWd7/73YBgim63i1KKn/qpn/qqfBpfrHrOoOnXfu3X+Cf/5J/wzd/8zXz84x/n4x//ON/4jd/IP/7H/3gU1HelXgH1VOPK7LEd7ttDEbeXZckNwtEknY0T0fcU8/K8Ic3uupJSv9EQ8XW5BIE/GlPWpZIkmmeaE+IEtdYQfZE1KN/DtNrolQbsmZaJHs8VlsFzUINYnL8dLZNt1x6SuI9WF3d+HVuWcWRVq+JfXEP5Pun5i6jD+2SE2dXo64+QnL+EbXXkvV0tvk75HO5KCwB91UHZDg8+CcU81nNwbrgaPIe06EsWGkgeHUibce80phigjCHNuSS1PCpKcDoh/Wt3oVcaIxG6CgLCb309TqWMSgz+Xz2MzucwsxOYwCWaKILSJKfOgRI2w3pa4lNCg3VlLN7tiRYmqrkicM7rLbdxRwCLThBN03bfnSFrlLXZhqBnqOe3agtAqW0sk3Wy9t3wumaQ1l1WaQAmYGQgqVJpy0WV4ZSaXLAbh336E4qxkxHdXZretE97r0fjSEB3XxG/kZAc3CXHWbWCuTQviffDFtFQjDwIBbCHobRgnyGQ1RqLjRP2fPw8fgucnjBkvVlLXNhi19xQ2mlDU8/tk4cg4Mhk2q2oLCHI7kDaUOLELpYATgidWZe4KN5VgzE9eh9nAG5PbBeGHkY6saPtmV+zuG2F1RZTSlHjIaoYozoOxcsKvwWlS5KP1+0GFO/Ns3GTYTAtbzDxoEzmGc8SLLtEpcxAE1i/UdPbY2geURz6nytYrbGOZe+fg52dZO17j4KxmMsLFC93mX/f67BrG6y/4wCVvzqJfeQkynOFySkWQGniWoCulolLiuYBB+NBd1pigErzMZXH1hjsrlD8o/tG7J99ivZkCJKcUhFbym/9wdGkK6sjwbc6sg+bpphGC10uoYIAXa+hCwWxM/nScZKcErZ5327UcCL2Sr0i633vex933XUXn/jEJ2g0GjQaDf74j/+Yu+66i3/xL/7FV3x9vV6n3Zbz8O7du3nssccAaDQaXxXoerHqOYOm//Sf/hO/8Ru/wX/4D/+Bb/u2b+Pbvu3b+JVf+RX+83/+z3z4w6/yCYYXoF4xLbose250Adpew5PbtjvD0UWJDEw5mmR1HeIEXa+hPBfleZDpD0y/j41izMoqlIuoSlnGlLP3F12CJV1ZwzSaEEXyubkAvWdW/GI6A9TUhLTyXEeYImtl3Nh3sfUyujvAjGc0v+uiuiG2WhRNS5yA7+GMj6E2WtDqoOIUrEXfej2qWiapF1G9CNodyAWYhSXS5RURmyPtAJIU+8Dj2DOXsI7CO7uErZah34dLiwLgfA/dGaC7oXwG4HQjooki8VgerxWJ6efQSDQMyX3qIdJWG/PEWdI3HcX0B6R5l3DMx/3C8dF+yv3JffitRC7YnlgTGFcCe6OKgzsQx+iwoklzmWbECiMytBUYgiS1bVcP/z28A7XZNN0IOG379g8v6iN2apsmajR5l7WehiG4hRUrvkYdi9eF/Jqsg9cW9sXrinO2EwrjlGsYcUbPKQbjHlHFw77+BmkHl4rCUA5FwsMWnDU7TRifIYxVZa9LV9ZI/cwx3IXiZUVuE4qL0MmcSrxtcStJoEjyMllnXLEdcGILSpFfl42X5NVIq6RS2R5RJWMHHaidCUdtPR0JKEtyCjSUFozk+oWigXIiaQn6LSjMZ9TeWkD97hzTX1bk1yyFFUvQsFQupsz+vk/r5hCvpameEpdwlcLMlyxuTxEdHNAfynkslC5B9aTGu65J64Zx2ldX2P8JQ2fG4dK3jmFcRfKG61GehzO/zr4/XMJGEeP3LHPh/3edvE2coE+cF+8qz8VrhZhOl6Bh8dsihLcOeN2t4yJ/fnPrBu0ZQC3W4O7fS9rpYp6UmC338AFaN02J3UEuQJfLpCfOjF5imm3SlVVMoyku4bumcSbGqX3+AnpmGhzNpxb/n6d/1qu1XoPtuT/4gz/gIx/5CN/0Td9EpVKhUqnwzd/8zfzWb/0Wv//7v/8VX3/nnXfymc98BoDv/d7v5Sd/8if5sR/7Md7znve8rJrp5wyaFhcXedOb3vS0x9/0pjd9RbOqvyv1SgJOO/79VACVXYBMvy+tqqz9MXQA1p6LaTRHTsGkKRiLMzGOM1bHxrE4+GZOwbpeA0fjjNXEJbw/QHmuXBCzSbnR+2gtLFAYwew0ZmVNDCY3NkkPz6I2WqheKAaYvmiebOBjKwXUWkPuWLUm2T8t2pPZCczMOPb0ReypC+hGF1vK4y5ukNYLIwNNG0Xo646goi2fkOTseWlXHj2CXm/JcnmOMG9JkjEcFlPwiabKo9eawEMnBm+1g7vRJb7xIOq2G7B33IhyHMJ33iwgIE3xVrvofA53vUfxC6dGeV7unt2o224gOLmE30rwmwn9CR+rICloUBDntQiVB1vu2lZvhfBaJX/b2q/ZLs/adEOQNGynDZ9jh781I62PvFBAxw4AZbLgWytMU5oX+wG3x0ivs3mNR1wS1mz8eBsdQ3uPQ27DUFxI6E471J/sUVyIaO/VtPd5pHkHM1XD7J0etUx3HLPDEXhjMzG82vEc5fuj/yudRaVY0Vy5PbFXMC5MPSBapKSgCStim6ATYZy8nkRYOLHk8UVFAVFJXjRNInDP2Nlhll1O4XUsrYM+Xk9sEKwWgKRTS7Ap4Mm6yPGZ2wKsbk+2n9NyqD8mrvFDuwfJDgRnYHD6Bv9SQHFeAov7e2M6uxW9STke1HogBqItgxNaNr++T/utPXqrRdZucpj/hpSL3wsbt8eUL1mxQDi/wsWfuAGzuiaB1kHA4OAYB3/zNMpzcXbvEu+kJAGlcFoDNr/nJqKyon0AGocd/NbWsRJNl0nPXZCWfTZ9tz0YfHieSS5czHapzb5zFyj+8f1iqntkv8QobdvvNk1xJsZFL+k42H5fbm46XXAd0by9xuq11JoD6PV6zxh3MjU19VUxRb/+67/O93//9wPwr/7Vv+J973sfy8vLfPd3fzcf+chHXvDl/WrrOYOmI0eO8PGPf/xpj//e7/3ei+oKfqVeoBqyTNtSzLMH0L6fCbmzwyJry40cefO5LHtOhJu6WsGZGJe/ey5oLWyUUiNBuPJ9TLMt7blBiN1sZhEsFYlEKRXAc9B7ZsHRqFoV3YuEmXLFadxp9wVcAVhLfNWsLJvvYT0N+TzO5WV0N0Tv3iVaJmtRiYEoxmn20FMT2KUVnEMHUHGKXVlD3XEMdcex0fYwDzyGqVdILs2RHn9CUtSnJjDjFdJaAfPQCYLTS6TVPDpM0WGM0wqJJ0pEuyr4F9cB0A88ibn1OvxPP4C+9rBoNpptMQTVMHjdEWkFAoNrZ9BPnic6PI27OcAJU9xQctewMt3ltxJpewVDlTY77ACUFYHxjpZaxhBtZ4q2C5WH3bvhHep2/ZIyAg50nIXwplk7zss+O2Ekoo5LYm6Y+oCB0kJKXEDcvAeW6fs6+O0UnVqKSykb1xdZvTlHec7gdSWUeDBdYDBVgL2zsv+y423YdhsxTlo9LfoDxyF+yw0S2YMAjiFQbB+EtWNygQ+repTfJ8HHKrvYWAY1RVxSxIUtq4awokgz8+HUF8YpLimML/YFElIsGqawOtQxCaB1B9n+sJng3JP9ONz2vVnZhmOPC9jNbRrRVZXEwsDrWvxGiPEVwSb0J2T7j93viVHobkhKcgDkViEsazZ/sIPZ9EkHLpNfciguQO24h2651B7xWH5nLK3XyRqpD71vvJloVizVc6eWxeQyikjnFsSYNo4loHt+SQB8HoJ1AdP5tRSdQP5SE+fu48Rfd4vsr6fYFAzPK8Pzjs6Y6OFvm6ZiS3L20tZzM8CkS0XStXVW3ntMAoKjWKQAe2awq+v8+ebfHtZ+pV7+euMb38gv/MIvMBgMRo/1+33e//7388Y3vvErvn5sbIzZ2VlA7Ap+5md+hj/5kz/hV3/1V6nX6y/acn+les6O4O9///v5vu/7Pj7/+c/z5je/GYC7776bv/qrv3pGMPV3tV6xvk3b9EzWWNSQVU9TVOBiMtsAnQsE3OTF2t/2B6iCkgDNsZoE9SotQKdakUDefJ5kbl4M63yftNsDa3CqVQhDMb6sV6HbhWJRtEZxAqvrmP0zApaMlVZbpQypwVaK4k+Upqgohr7BG8SYQoDqD/DOLhFeM4u/3oO5JezB3eiljYzFisH3MKUcZqyI5zgS23DtQVRxFt0ZoMIEe+O1pI+dkkDjx05KtESvR7K8Ill8Vx0izdp5ZqqGdcVVWnUN6WOncF5/VMDcnjrepTWSKMJ54gLqyEGSx0/hHjoA3Z4wefUCTj/B5OWK7HZiBm8SofhgvIzbl9gUE0grLr8c05/ycPsGqxRe1xBWxTxSJ1mwbphlwGkBAcZVYDJQlLkxqG3AaASc3K0W3TD81jhbjw/BFTaTR2XtKauy980sCVIfCmuG1j7RW00+EtI66BM0DP3p7PjRmuKlDmlQpnYmwtvss3FTjWA1QRmISw7dq+uUHl+VVm9mKzAE99ZYFGIzYLNsQhwH0hS3GRHeuA/vC4+SlKByztKbkraa3xAQohOIS5rOHmHHjIv4KQ2NPzOzzjQHweaWFUFcllbUYEzhdRlpwZzQEpclew5EGxW0pY2aBBIp4nckWsW4wnhhZeosqqfsfkiNHOKNK/YHTmhRacZulTyMp0cgLWiJR1JpJSVoia5q9WbFxltCyg8HpA9XYTaBSLPyloTcgsfBj68xdX+e3myesO5jPJh7R4Xp+xM2r3bZ85sn6L/1OvJfPrOjHWr6g1HQrk0SsWHoC4hWFryO+IhZf9iOl/PJMGVge7kH9pNcvLx1jtlmWiufZ4V5Hv4f0Fcfxl64jHNwP+OPdOXGKk0xYyVIrTDar7XK2Ozn/R6voPrQhz7Eu971Lvbs2cNNN90EwCOPPEIul+PTn/70V3z9D/zAD/B1X/d13HnnnV91Vt1LUc8ZNH33d3839957L7/2a7/GH/3RHwFw3XXXce+993LLLbe80Mt3pV6kGl6MzDbRpkqSkSOwjZOtvDlHo3yPZHUdd2pCWmsgrFOSiLnlWgutteRGlYpQKOD4HulmE9Pp4MzsQqWp5NBVSgLeUsCksGcXemEN8nlhE6wVlqnVQTkaO1bBOg56syWC8cCTRO8sqT04cRmzawIOzKLXmvJ4pyfC8EIBFac4UUI6WSG8ZpLC8XlspYTNe6KjyIz9uOEwaSVA3/Xw6AJijcXOL6GK+3Gmp2BpA6br6KZYELiH9pM+8ATqhqsgcDFLK9i33IT50nFssymtifOXRp+hHzxF8rprsQ88DtYQ1X3SQBNsROi8u6VhcsUsMRzzJLLEFVGy105JCppUqZFfEtaS+nrUVrMKcBhN0zlRxgRlQm9lMoAlw1cjIGSzKBUnkmk6kzl/q+xauN2+YAg8yEDEoKYlg2xgaFwd4Lct/XEBmmkgVgSDmysETUt7f4DeHZDkFYMJj6isKM8l+OshppiDSh7Vy7IGtxkljo7T4b8zUKX7If3DRVxj2fsXfRbuzKNjcDuy/BtHwe0o/IYst45lnZwI4sLWOhlPhNzGy6wBEhmpbx5R+JsQ1rLWWgAgTNSQ/TMedIsat5u13sLsUG3JxdA6iv64orvHUjvhYDxDOOZmTGJKbAWchVVN7UQHNLT2+agUersl7Ff8ojSDuqI0bxl7whJfFPDdn4bacZfcpqU/oWjeFLP4dRO0D1tMPiW3oAVENgX4OANY+QfHmP7LBcjlUN0+3HCYzsGyiLoBG8pgR+pL0DBA/XJC86BP7VyIPX5Splz/+iEu/193sOc/fnlHa057rrDJiBN4srKGfOml3IP7SM5fGp1zlOOgCwW4vICulGGzidvtYTYaopd84hykKZ96jUzMba/Xornl0aNHOX36NL/7u7/Lk08+CcB73vMe3vve95LP57/Cq2Vi7pd+6Zf4kR/5EXbv3s3b3vY23v72t/O2t73tZe1qPafA3jiO+Uf/6B/xcz/3cxw8ePDFXK4XpV7s8MVnqlck2wRbguWnUOpDXclwCkznc1t3nq4nd4uei8rnRunlQ8vikTFmmgrT1GpvMVuZv5LK5zDdnog5exJGSqmIDVxUP8LmfVSjI3efxYK09MrCSqlBLIDIc7FKybTdWkOyy0IxQcRa1GZbgF3W5iGWdbHlPPFYAf/ssoxfDwbCnO3fA622BBMHPun6xpaIHsT8stUhWVjCnd1FePUM/n0nxdTz2DViHQDoQkHS3Dvd0fZ0SmLUaTMzRndynHSjgb39evibRwi/5fWoxOL2EtK8S1xy8JvCQNih2WVejBaLCwM6+3Jilph5Jzmx6F8GY84OXyZlePrEnLvz78M2lnW35Et66M+UMVk2c302ftauGwgoiAuMGIjhdF55TtgmHWdhvjUxv6yei+hPeqS+MC7V+xYJD0+wfkNAfs3idQ3daYegaWgd0FQuGKqPbWBPX9gZpfFs5brovbOYywvYMGThp+4YuZdHNQEKufXMXkAr4ryiei5k9aYANBQXDe2923RSmSdVVJP2l/EhrEsb0m/IqH1cElZKJfK48eR1ble2sd+1REVp0fltQ2dG091rsZ5l4gExAdWx6J+isjOyNYgLivyGfCd1JOC5vU9Cg4OWobAQElc8mgdd3B70J6E0L62/3GaK30xICg4Lb/U4/B8ep/+mqzGeYu4dcjy5XU35Aow/1mPtWIGZP700GrRISwH6S8d3nAtUELD6fTcSlaF6PiUuaqofu3d0Dhnmxzn1Ksnaxo7XOtVKljYg2jTT749et6OGAd2OQ//dt5L/0/vRhQLpDYeEsQ18sT8JApTv8aml//y3Hw8vYL1Ugb23f8+/xfWeX2BvEg+4//f/9Ss+sPep9e53v5vf/u3fZmZm5hn/Pj8/z+c//3nuuusu7rrrLk6dOsXMzAxzc3Mv8ZJKPSdNk+d5/MEf/MGLtSxX6qWsTDuwvZTrjf6mfRnnNf0BTlFux4fPN4NQfHMGoTiH53NYIy7cqlwasVTac3GnJtFBDqdaGVkZ2CiGRktE1kkijtvr4unCworomQC6PYlX6fVR7T5kgaMMIlQ/lNfkcwKm0lTsCgYxlItimBlFmGoBM1GFKMJqjf/YRdFCjVdhehJ9zUFMJQ+1KqpaFuDkOHKhVhqnViN98owskzWQJLjtiPTYEQGMJy+MLgKm1xPAlIEt9+A+0nZbpvuy6aJ0fUPe3xiU61E8sYI7SNFfeASroXL/PLlHL5FbHWA8jdsTbyPrQm+XgECdZl5KyMW9P+6M7AaGuqbtk3FiSQBYAT7DFl3qI202EMpJZ0LkDCDpWLQ71oGgIYLqqCqAwesw8neKSwIsmoc0aU7eO6wqyabrW6KKy6CuCBoyTTY4MomODG6GLXVkSAoQ1jTFRdEFDXaLsepoIvNvq9RgF5blWFJ65CU11HSJn1A6mnIbf6SN8TWTj4TUzqZ0p0VwP1x2HUNSzHLzKrLOJm9GYcfdPcIkDQFTf2pLJO/ElrAG7d0KJ7IM6rBxvaZ9XYKaGaAMFBdj2rsFxAwB8FCYbjU4gxSvFeOv9XC7CaX5hPLlmNKlASZwCGuOtBcj6ZsaD6rnBuTWItr7A5qHPIINaLz7egr3nqPwmUe55jc3yC9rkl0Rftty+Z0FgpZl4dv3YfI+eqNNmtspxLfGguMw+XuPMvZETP6P76P6e/eP/u7smR2dL5LVNdmXvi/u39cekqxIR4+mbZ9p8lH2k8YpFnCqFUons+/HWA19/PQo8BslE6kvJWB6Ses1OD331dbnP/95+kNA/QxVr9cZHx+nXq9Tq9VwXZfJycmXcAl31nMWgn/Hd3zHqC13pb5yvWIm6Z6ttp8kh+2OfF70Ioi2Ke32trQlaYr2XHS5hFOtZIaWsSSZL68IpV8RryZdr5Gsrovjb5KgXLkAOlMTUC7JdNqwtBaxd2oE8ORzEsqbaZskaiUvU3OuI/qGQj77WxarkaTyHv2BABfXRYUxKoyx1TJ6EEG1LHonY4Sp6obopQ2SybLopwIfEydbjukZa5SsroHSpGvrIjofxKhCgfTWq7FvPoZ7zZFsIxoBWm+/RfQ24+MkK6sCOK0AJRNF2HsfxRmrbbFm1hBshNJWLBbQvQi3l2I8hRMasAj7lE3LDQHBsN02BEs6sSPfpaGGKQ0EDDmDbRqmSDLjdCTskjsQcDGcsNNJpvHxs3ZVXo3YK5UKqBj9Hno5ZSxVmt0w59YFNA3qmtyGoXnQobgY47VC2vtzFFYTVGozIGGIC9IWS/KKzp4MwKepHIvDkfZnuvBaI5YZWU3f0xhl6Lk9WQe/mWA8sQXoz+ZRqaU/7dE46JDmZB11nK13QWwB+nsS4pLFuhaMIqpadAS5Ndk21pVtUDlnR0DTKvDbUFq05DZTaucMUd2Ab1DaYOoxF7/FpX1jTFLQ6BTyq8kooy5oGZx+SlT1ZFKy6BJWncxN3SMuOuRXE7wejD3SYPdnu0x+8iztfbnRxB9Zq88q6N9+CHPT1ShrOfDfLnD1b0SENUW4L6L2eJP8mhHt1FhZvKae6gY+Xsf0euQ++yg6n8M5uE+c+l2P9PIcZvgdHg6YZFOh5okzI82SCoKtGzKlcW7Y2VpRjoPaMyPxSuubo0QBlQvELT5J0BNjMin5Gq1h1uPz/Xkt1c/+7M/ypje9ifHxcX7mZ36GwWDAz/zMz7C0tPQVM3BfzHrOmqarrrqKD3zgA9x9993cdtttFIvFHX//Z//sn71gC3elXqTK9DpDMbj2fUwUjah20++PmBEzCIV1yvLdbL+PyufFvDJrw5lOV3RMPQNxsjXeH0Y4FQmYNZ0uulggbbZwiwXJdSuXxK8pnxNdztKy+LWsrOHUq8L6VMvif7RnlwTohrG08uJUxOWdLmp8DOs6wpQUKzhLm7KOaSoxLP2BgDBrBXxpjQpjMCm2WMBMVHBPz2E6XWya4u7bTXJpftS+FO+gTOOUAoEPT55HzUzjtCOiqQJMllCn5Dlps4W/1iXaP4G33kU1GlsgbJuGLFlZpf/mQ5QfW4PpKXr1gORtR8itxyR5B5XKa6KqKxdzF4ynRqPrQ+G2MlbsB6xon7ACbnQMKGFBnMgSF3e2uUamlzabhlPD8N0t4KNEv0ySY+QyriNIC2yZYgJDI02Q90wKAizy62KT0NmtGTuZEJcd1o6VM/2OKwaZRkJzZ+7uEo7lMsNNCwf3wJmLYOxoPyjPlfyyZ2rZKY3SBvvoafh7rxNNVgqDSdi8JoffNvRmpf1nXLEHYKgLywThSZ5MNA75yy79fQkYhYpkBQeT4G8KC5WQtS3bAs6cSBzbh9EqYc2hsBQz9ohPe7+PdXzUvgFWW8a/5JEE4LcsYd3NhOkG4zp0d+fweoZ4LI/xNaW5EKvF4BQLXjtm6otNVJTidgfYQUjt/3sEXa1Q9fdgAj1iH/MnVyBJ6F8/Q+7+NZz5dfyri1zzn3pc/sYapTnL/Ntz7PtUTLAZjlrww0ovZJNt1x8inCyQf2weFQgDaOME027v0DFZY3EqZdJWG+37MgW3zU5g8K23U/jLx0b/d0pFVLmEuTSPnhgj3WwKu2gtanwcM7+IyudBO6/tibkXgil6lTJNz1a//Mu/zOTkJL/wC7/Ad33Xd3H11Ve/3IsEPEdNE/C3apmUUpw7d+55L9SLVS+HpmlYrxht07Pk0e14Sjbh4lSrpJmY2SkWRhT7cAoGePYxY6VHYMwpFlDFgowxd7ojQztrBLipUlH8V7QIztONTZyJ8dF0FLlAgE+lDHGMLRdQ7d7oN/0B8TV7cBt90lKACRz8+UwQ7jpYrUU4HsUjEbvNedhAhO66F4nT9/l5eY7rogp5bLuTtRYGO1bP3TWF2WgQvv1GnH6C25a7bb3ZHfnRADhjdeJjB/EeOE3abm9ts216KYD+d9xBfmlAVPPJX27SvqZOYSnEPTNPdO0eBhM+SV6P7AOG4/862QqgVdaO3Lnl/5kuKRYApBMRY0dltRXsawVQ+R05BfQmt0wbhwDK61p6kxIMPDo+UsmaU5l3k0rlM4Yj+iCMltvPxOIayhctg3Fp2VmVic0dYWXKcwluN6U342M1VE912LyuRHExJvjiCbZPWKl8HtPtbQ0pPPX4UxoTRcz/9BtQFoqLFq9jSAqa3FoyihvxO9Iq7E3qEWuWZsBw+BPVIViDzkGTte3EF0ulUHtChOAjKwgDxZWUqJR5axXUSIekUuhNS8Bvd1bRPxxRfNKnfMkwGNO0D1qcvqJ0Sd7P7xjcbspgwqWwEGI9jY4MUdUj/xcPow4fEMd6a+kf24vbjXEfPoOaGJfJVGDjG67COlB/pIleWgNjWPruq6mdjVi/wad924DiIzncPjSuNVRPa8aeiAiWOpgnzmabUu04Xp3xMaLr9+KfXmL9HfsZ/6uLpMurO84B7q4p0pVV+f6XinKTtHuGZH5RJnKzNtvwHICx6PE66Z4J9MlLo78Pfd70eB3KRT71xC89/TzzEtRLpWl63Xe8MJqm+/7o1adpKpfLPPLIIxw6dGjH44888gh33XUXn/vc5/jCF76A7/sjMfjb3/72lw1EPWem6fz58y/Gcrzm6xVjQfBsYGmbMHwoWjbdHjrIofI50mYLAJ33sH15jju7i3RpWWjzNJUMOi2vGwZvAuL/0u2NxKEAaaMxEo3TH6B8n2RjUwwKJ8bFCyoTUA/vZF3XhazNZ8uZzqrRAqVwmwNUu48DhOMV/P6A8JpdBKeXRVCepJhyAb26iR2vkhYDnG6IKfh0rq6jY0uhURNxehBgNxuknS7u3lkBfAUfvd4muXARs9HA3nw1uYU24XQJ3exJvl6vh3P0GtLHTso6bmyiP7c5mhdSvj9qZyjXG7Uycmsh7lqbpDSG2mzjtypgLP2b95MUHdJA0t3ld6ZFYmtyC8CiMDlhO4ybhchCNh4PxaWEQV1A29Bc0e0JswKiQaqdlefoxNLdpUkCUImitGgJmimkls1rPIwn7au4LMviZRNpQ2ZnWMaFoAlRBbozsuxBY7jsAppQsH6dS+2cpjulCFqWpTeWcfvQPORTLNxI+Z7zI4NVBSO3eRsnOxmn7IbAKRVHk4Nu3xLWNKX5BOsqoqJYAzgDQ+pLLIgI1GXazmbL5HeELXOiLFS3kmIci9PVFOYVvV0CyMQZXcBSkhcWMGikOAP5f+rLvsttil7Jb4G55NO9NiIp+MSH+ygN9U/miEsZ4DUW44m9RFz1CNZC0pxLbim7aTl3CXVgDyQp+QubsNkUNnCmhn5kFT01Se0PHxYx9eFZWm8+SPnkJpXLCd5myGDcBwu9PZIhV7qgKSwbLr7bZfL+OmPrE5i1dXrfdAuFTz2UgX2Hpe++ium7NyGKGP/rS8SHpnH7fUyzNfqODmNRIMW022jPJdk3CfOLsr88dwSYhiy22WygsxsUpbUY0BYK0hpc3yS+bvaZz1mvoXotTs8937rpppu46aabRt2rRx55hA9+8IP8+I//OMYY0me6YX8J6jmDpu01JKmU+grTLVfqlV/D1hOM2nc2ycTiWUtpGA+i8znxMVpYkjvQUlFCVtNU2nA5mXLRtaowPa0Oqt3GpunI+dedGJPnNyVnymw2RrR+srImzNZTLorJwiJOqYRZ38AZHxMGKhdgJ2pgDP2rJ8mf3yS30sdMVnE7sUzfjVfE4+n0BdLrD6OsxT2/CPk8+tIipcYk7evHSaar6K7kySlquLWKsFlximr2sJuNrW1z72PYW67Da0fQ6WIuXhan8V64w5tGtk8J0++jp6ewl+fExiCJR+3RqObj3DtHkPOwgwH+Rp9wIo/XSdCxRVVcorIeeTENdUlDbRNstZiMJw/o2BLlhCFKc9Da724F+vqZsNsBnSj6YxJO29nt4rctOobcZsZKBaDalvZud8QkFVYs3V1ippnbEOdr42aTdRmL5XWyNl8gY/vdGUVcykCaFfDkKGlPJTlFa594EoUVRVzZ0hW19jsUL02iGi30rkkBDQuL6N17sGsb0rrddgzL5Gcy0ls1DmviMrh9B2Uhv2GISopcanFCg041xQWxE9AZO4cVJs0Jt0TvSSn7CC2tyeKixSrJ3Et9Z2RG6nUNUVnTm9IjW4PUV3h9MdE0ruinxr7kM5gA/4E8YR0GY5l+zFHoROwbnMjitRLSgitM03iOAERcvbpOdNMhguMXBJxUK7gXV0hvPALnF2V0P5/D2ehSClOs7xKsDVCPnmZ37Shh3Wf9Bs3ev+rT2xXQ3qsZO25ZeZ2luDiL94V1Cp95VADQrVfhXFxm6m8atI9UKOY9nAtLOPc+gcmA/9YusFvnCmNx9kxj730cZ9cUOA7J3LywUOWSgKNSUTSK7Y7cVLTb0qJvNNDlMnp6gr/+zM98rWe1V0+9Bn2anm9Za3nooYf43Oc+x+c+9zm++MUv0mq1OHbsGG9729tetuV6zkJwgI985CMcPXqUXC5HLpfj6NGj/PZvv4b7zS9QvSJF4duEtXoYSZGxUTrIMXTp1blAKPPspKiD3Og1ydqGAIkoluiVfh/TH2A2G6TziyLkLJW2PsMaiUXpD3AOHZA22rYoDKwZMVMiTM/JBJ/SpJ2OgI4wwiyvSbttfgV79hL5hy5Iu22QjKJO7GQdlVpsISB8y/U4i+ssv6FCcmiGdLqKuWofaTVPsBmLILbo0zo6hq2I3YFaXBOd1qU5VKkoAby+jzs1gXnoCTHkzAU4e2bFKqHTJd5Txz24b7R9024Pbr9BImBcb+vinrU5VWolBf6xk/TefBVJJSB/fhN3pUVYdyk9NC/bLmFkHwCMwnYha4PBSCiujEzZWQ0Yac2pVFpxxhWzxrisCJrZGwx1TRq8biqBtR4Ulw1RURMXoHw5pX4ypjMjVgIAvWlp9wVNWb7qeYMTCliyjmihwpoE0br9LNB2IH/zOtLGKi4ZdCymkmkGqpQRlmg4JQjIlFw+QJWKmMsLI5H+0ypNRSfVyv5bsCy/IROZ5xR+2+B2YpzQUlw0FFYTSgsGJxKmzA0ZsWmjz9dQmHfILymisriBK2PxW5b8RooTWwn0rWp6k9k0pZeZaGYxKfkNS1yG2c8PGUbZR8Emoj2LIL9uWL1Zk1uL0ZERh/hOTFJwCb7wOCqfy5hdQ+OqYGsbGItZ38RZa2PDiM5bjmDWNzALS3DqPJw4J+D/yD6C5Q7lP32EwhK4G128dorXgcbVil33wPKtAfrQfjb+/k00v/92aV83Wqhz8yy/Tli+iz9yhIV/euszb3+2WnrJJTl2zewE6dLKVts+A0nkc5DPC+vc6wnDFPjoUglVKj7dAf5KvebqZ3/2ZxkbG3va42NjY9xxxx38z//5P7nqqqv46Ec/ytraGg8++CAf/OAHR8+bm5vDmJdOBf+cmaaf//mf59d+7df4iZ/4iZEV+j333MNP/dRPcenSJT7wgQ+84Av5WqpXTJtuWNsAkgl3ane2/9/0++h8HqdSFk2J40huVKEAjYa4AVuDBXR2EpQX2izLKsYZq2NaHdzxcUyjia5VMfOLIvj2PVQuQG9r6emJcdLllZHtgTtWh3yOZH5RJu+sIVmSDCp3YkzA29oGzvUyyWa1wuZ8dKNLOl4id7mFma6z66/X6B2poSOLjgzBk/PY/ZKRpKylONeH83Okw+w8EJDT7QnAIxO5FwtY3xVjQN+TCa7pSZkyC3ycakXamtagBgn25HnZpkqLzmNuftSi0/m8JLsv99HdkGh3lcGYR2EppHPLbhGFW4VG2JDJe9ZYf/0ElXN9OvvyREU1EjV7XSt6m65crKOquEznGob+mCa3YUfRH1Elc2HOpm96U4rUcylfTrEaymdarN9So3rBYDxF85BHeV6YpuKi6JTiIphQAFd/QgweowqjTDuVCljSobS9Ul8AkbIQlhTW1QLCLBSWLWFFUb2Y4rVT2vs8rOfgDGN3Ol1UrSras6FTeMZqDAE3SotHU1VaiKULCicSsON1bGYl4GF8yZRzBilu35DkPHFd74n7tkzbgR9BVNMC9NrgZ7I1J7NvGJp46lhAnuTdCQvl9gTEaiMMXvUMtA54FFZS+pPOCCCqBNoHLc1rLV4D5r4uYO9f9lGpyawnsgzEfTOo1U3wXKZ+73H5vo2PQSTtcLOwhMrnKH3pLAbkO7a+iZ4YwyYGFldRUxOoQoGpjz4kMTTXjTH1+0/A91zHoK7pXJVAktLdpYjqFq9bI7mxTtBIKc6Ds9ygerZIcX7r/LBjH4weFFG5vvYQnLyA3SYN0Pt2Y85fEuPaJ8+y+f23Mf75BWG1wwjle5ipGp++/xef0+ns1Vqv5fbciRMnuHTpEtG2IRiAb/u2bwPg//6//+9nfN3/+B//g7e+9a1fUZ91/fXX8/DDDz9NE/Vi1XMWgk9OTvLhD3+Y97znPTse/1//63/xEz/xE6ytrb2gC/hC1sspBN9eryTQNBQnK9+XKaXsIm7TdIfuxqlWxYF5CI7SVGj0ZgunVCRtt+VitWtKJtR8n2R+AR3khIIPRLugfF9y56KYdGVV7ix9XxzAjRHDzGIB02qP9D/urqnRRQGthGlYXUcXCqN23/CkPSztuajDB7C+iyl4ON1IAoAdjdWaZLyA2wqxSmEDB2dpk3j/pEztJBYdxpiHxcVW5wJ0qSjRMZlpp1MskHY6IpI/ejVcmJcU97fehI4NSckj98Qiydy8gMVMEzZaxuzijjW4U5MkK6sAmDtvIc27OP0Ep5cQTuRAQVR1sFraO/n1lPyFBmp1k2R1HeU4rP3w67by6LIWE9mJOA0EvLhdyG0alIXO7owN0XLxT315vs5G9bFQO5eK2eJqQlLQdHa7Mq1nobiY0jg8BAvSJXR70lYbtQoz5srJwnO3lzAvhvYePXLmHton1E+nYC29KZewKszU2JMh/kIbFpZRhTx4LmZtQ9inYazKtlr9wdsZTGR2CUXL7s8lrN3oUZoXoFc7HdPe51F/ckBU80YByP1xjXUFmCaFzH8JAV8AhcUs4DcVtknHYpnghgKKnNDQH3fEKiKSFmhnrxItlxG2KcnJNrFKmKYkJ+vo9g1eJ2XtBp9cw1I72ZOJSF/j/s3joxBbOz0ubFq7h1nbQHkeNoqwcYK+7jCcn8NcexD95HnMtQexrqazP0/lyRbdg2Xa+xxqp2Ly823isQJuY8DCO2rs+d0zmFab8//qFipnxcU8DaCzB1BgcobiRQGkU/c0OPsPqhz++YdG4HV4XDvTU9huD5Oxwo0fvIPx+zfEhgAxgbVhiJ6dkUSAbh9KBRm82DsDp86jS0U+tfwbX91J7EWsl0oIfse3/JsXRAj+5T/9uZf9+jasc+fO8Z3f+Z08+uijKKWeJud5oTRJzyYkf7HqObfn4jjm9ttvf9rjt912G0ny9OyhK/X0eiW16UbC720+TJAxH5WSCMRdj7TV3nL0hZHVgLTv7KjtlCytkKyukcwvMHQWTzY2SRaXxa+lXAJrMesbqCAg7XRJ1tcxjRZ2CIwcB12vobTElNheH9NuY9ptWU7fR5dL4Hu4B/fhlIqif9jm42LihPTJM+iFFVRssI4SMXgxIJ4uEZc84jFRQavUYuoV3McvEJc8jK9JSwHuNYeF3TKWZG1DMq8cLU7H/f7IeyZ99EkBjdagv/AIKjX4Kz2SedFgpRub0lJMU3QuwJ0YYxhgqvN5mQrMtrm/0JRpqE6E7oZYT+G1Y4KNhMJiRO1kF7cdw9wyrbccGjGFE//vfdK6y+wIvK6Vi78nrTm3KyCmPynWEbXTsUyJDdtymQB6OHHnt6E/psmvJrT2b21XZeQiH5U1+XVLcTkTOSNBrvk1S37NUjsT43XlvdyuaJmMC4NxyVhLCtCZEb1RWN9ipPw2NA8IQNSxpXLRUFgxhDVPmLRcINNXrY4EKnvuDsA0vHh7PUtxweIMRMw+GHcpXzZ4PUOwaUkKDl7HsnF9jiSv8Dop7sCOWpqDCUaRNGlumymoA35Ltnl5Psmm3SzOwEqUyrSLE4vwPgkU3VmF34TCisHti8h76Dg+tFbIrxv8VkoaKAZjLpXLhrFHmkQ1n7jq489tir7P97FTY9jTF+DiAun8InpqUtpZ+/egbroGe/Icq99/jLgWwME9dA4W6c/kiIuK1TfUKJ1tMvux0yhjCXeVWHpDjgvfVWP2sw36N+1D12sEG2AdxdQnzjBxvI/bk7BeFSu8How/3ufc99Wk9ZuZwHa//TY5PhwHs7Y+AkxKK+r/437Mk1tT1TZJxIut3ZFpudlJwkNT9N58FerCPOFbb9hhU3ClXp31kz/5kxw8eJCVlRUKhQKPP/44n//857n99tv53Oc+93Iv3tdczxk0/cN/+A/5jd94+h3Af/2v/5X3vve9L8hCXamXsIZu1uFAJuKmJgVIZVSqU69ujR5nAGv4d+W5EnI71OYM9Tqjt5YTqnIcEXk3W5kQVKFnZ9Az0zjVCu6B/WANptsTn6j1TWGrADO3iJocR8/OyAm53cZcXpCTrjFyx71rSp5zYA/OtUe2LqLWkKxtYO9/FH1pGVvKocIY7/h5cn/9CO69T6KbXVSUEE4XUPUahfOb+HObwuoUfMyBLWv/ZHGZdLMpI9GZW/WQqRuW9n3Uwyexwwm6bm+HTkwd3jdinUyciP7rsgBMMwhJzl7AW+1gHnyc9IlTFE+sou4+Tm6xg7KW/nQOf7FF2mxS+MMvE33T69DFAvqqg/hdO4o7iQsSVOsM5CLt9bO7PAODMYckr6Vllnk5uX2ywF/5f1SGNKfYvNonqsCg7uD27EhnlBQUcVE0UU5kqZ0XsF091SHYTHBiQ3kuobAqn+uEMmU28VhCf1KmzIbhuPkVMcK0GrqzIuDevMqhu1sxGJe2WG4tItpVFrbS82Tbu65MbLquHGeFwmgCtPb/PUJU3QrkbVylKM2FeO2U/EbK5lVa2k/lTOtUcOjMbE0XBhvg9Bll0hl3G4MH+O00A5gWZYZO3havb2nvVqzc6mJ8yG1AYdUyqGmcyBIVNUlOEZUlzsUq0KG0Pp2BzYxFLYNpmQDUiZHsQjIn/lMXsFFE41uPymOLy6TrG3SvqqMvLYEjkSz+l07Q31MmDRStfQ7lyzHTn1shLQY033YYrxWTe/iCALkEzvyDqkTMHJpm5vNtYR6LBZK8Q2EZ4ioY39KfFOarchbS8Vhag9cfovSJB0fnk2Fw75YYfFYYqN0z8l0wFj1Wh7GaDFp0BwQX1+nMuqjxOrkvn+Yv4o89p9PYq72G7bnn+/O11i//8i+jlOKf//N//oKt0z333MMHPvABJiYmJJdUa97ylrfwS7/0S69qP8fnJQT/0R/9UX70R3+UG2+8kd/6rd9Ca8373ve+0c+VevZ6xbBN20GO42AazS0GZWNTAnezlpxTKoklwP69o/F5Ew4EuOQCnGoFp1bDGaujXE+E3EksruKtNgDu+Djp3IJMl7XaAqQuXhYX7mFMSxSRrK6PmCpzaQ48F12rjoCZ2WyAMZjVdczcAnZxGVodbN5DX3cE59ojOGP1bMU0yfo66WMnSR8/tbVOIL5KicHtJUS7a6TlzHXcWqLxPHEtwNxyzY5NZvr9TLAaMIyccTKhu4kiwq+7aSuEdKizAdw9u8WOYNgSzUDl6N/Z7+TkGdzDB2X7rW2gtCItBujISDDvtjT53F89Akqh2l2c0BI0DGQshtsTwBTnRaytI2F8/LYhDSQA2G/bbOouEz3bLKzXk5ZZXJb2XndGEdYVSUFRuZTity31kxFxURNsiv4pLmlUYvCbMd5an6isSXIC2HKbhiSvWbtepvDizBvJeNIGy28YSguWyjmL15YJPeNteT+tH80RVl3szddAkgoT4fsQ+NKeSlMBs1kQqOkPUIkwV14Lpu9PMK5GRynt3a4Ivvvyd+OIk7bfkXaacaG0YCguWnQWjwKiZwIJ1Y1LwzDibFoxscRFjTKWoCm+VCZr86Ue5NdkvwRNgxNacg3ZJkEjxXqKQU3j9g1BM6Ew18VvxXitCPeu46PvqVOtiBEsUPnfD2CNDBAo1yP/V4+JTcU7bqSwHNN751GJYJkL8Trg9BPMhTnaB/P4rZT1Y0Uu/tjV9CdEkD/+KHT2eKwfLWB9h5k/uYgt5sg/dIHyfCLrUkiJqpbgzApRFYJLPmf/0X5ZvKEWMYklMmk4MJLPkc4tyLaaX9yKxYkiTv74JGp5HZKE7vVTTP/pBWi2X9smls9Ww+m55/vzNdR9993Hf/kv/4Vjx469oKuUpinlsrDoExMTLCzIcbB//35Onjz5gn7WS1nPGTQ99thj3HrrrUxOTnL27FnOnj3LxMQEt956K4899hgPPfQQDz30EA8//PCLsLivrXrZgdO2yblhvAcgxoHP8Nwha5JevCzAIZu2M3EiJoNaCUOVTbzpakWAjzHyf98nzTxdlFaYZmsEKoagwc2Ajs4FW67kcSJj/Z2u+D8ZCQemXEJPjqMLBcwgJF1dR8+volY2MOUAc2QPTr2auZLrHesLoIsyzWZOn8dpR3iNgZhgpimDCR//ruM4/RTrKpwbr5FMLU9YjWRjk7TZEoYtn9+RrZWba462mTV29HgyvzhilIat0CGwHF10Mo8s2h2id95K2myiSyWi8YA0cCj/2fEdBpomilClIsn8Imkg3j46ljBYZbOx9b7F68pFOrdh6U3KSLxO5CSb27QSyusNM9AEULgDmSBzIkYtpdSD3oRD6kE45uK3UwbjLvnFAaX5iMFMEeNruofKREVNcTnFCWV50kDe28mm6KxDlr+2BT7CmhLrgpwivyIMVeor8muG/GpEZ18R6lUxPzVGdDDZcWvjBJvtB6UVU//ly+Q2pC0WlTSDcQ/raEqLCZPHY8ZOhvQnoXGdpbVP05tUlOcSmRgsa8K6wu/AxPFs3zhQnk9FAA4khUyPVdREZcmDSwJpK6Jku+Y2LU4krVIJWLZULkVUTnUImglYCVwOmgZ/fQAWklLWDv2bR0fxOygNSbLDYsEdq295q4UhTI7h9lOah3ySgsYEDvN35ujtgkvfWCB661HcgcUJU3IbhvHHEmpnLFENxv74BJ29UFg1LN1RwKysYrWmf+tBCqfWxevrrMf+P484/4N7R0AyGku59O4azu4Z8WBTWrR/w5uALDRbuR4jl/5cwLkfv4qx49my18okOS0Gt/Xqs5+vrtQLXp1Oh/e+97381m/9FvV6/QV976NHj/LII48AcMcdd/Arv/Ir3H333XzgAx94QfVHL7Xl0XOenvvsZz/7YizHlXo56ikskzxkUakZuYLrYWiq7wnDoTVK5UQUnlkM6HpNmB+lRGfiulCoYlstAVapkffQ4tbszkxjGk1IDc7+WdKLl0eGd8n6+qilZxEA4Vx7kOTJM+h8jtGovlaY+SVhsq49jOp0wZFsOOV6qHQaPbeC3bNLprPOzmHjeIe79zBPDsAefxL30H7MRBk9iCkshfTfdTOFCy2Sao5wqoiXvwFz72NbFzEyQBc1d2zW9MQZAVfbaztgGzqm5wK50A/drh1HJpwAs3ea4LOPoEqS0ed/UpLlreOITqrbE4PAfl/E5qUSteMboDWl4z3aN+9CWUhyOhvrT8XQMfAoz6fEBU1cVEx+fpnGbVMoCwNHUZ4TjVpn1sFvC9hK8oq4ID5LQ98n3YWwrEkChRND86oCQctI2G49wDgijm7vcbFa2n35VWGP3IEApWBTGBqdgNdJsY4i6ToZwFJEJWGCrAavZxiM++RXQuJdFbxuT0BEmkqLyBjSlbUtQXLWEi394X1s/swdDBJN/WQkbbC+oXHEpzeTjfujKKxYOnsUy7e7OKG0DEvzhvZejTvQ+K0s0FdBd1qR2xC2yCrRd/ltWQ+dWqKSJixB5bIhLiqMKyyWji1uNxXGsCDHhwj1NeUzLYzv4vYS9P0nBEw85es6BOY6nwelSLN4Hp2TVqVdXMHurTKYACdUuHlN0IDq+YTUUwQrXZqH6rR3O3hdS1x0iUtQvmA593/dIAalLsx+roHeM0t3Xwm/EdO4dZJwMkX3NZe/PsBvQf1MwvzbHJyxkH7JYe579jHxaIR/13FpyR3YJyyp624xzqUSqpDn7I8fQqVQf7KPGh9j4e11dv2XB7HXH+LPH3j/cziBvXbqhZyea7VaOx4PgoAgCJ7hFfDjP/7jvPvd7+ad73wn//bf/tvntwBPqX/9r/813cyh/gMf+ADf8i3fwlvf+lbGx8f5vd/7vRfsc57jLNvzrudlbnmlnn+97BYE25zAIWvRDRmn4b/DgbSfHAcbZ9N1UUbDh6FMysQJ2nWFqcmYEhUEmFaHodeTNVbuRq1FT4xhltewK2sicO33MYMQp1odaZuUVtKaelKmbkx/MAJ3zu4Zeb2xmJPnxQKhXMKkRqJbTl7AKoVqdqDdwR7eQ1LycQYJzkaX5OyFLSCTgcfk3EXc9jhUyhhXkVvuM5gpoSz4632isTx+PifLsX1abztjlz1uomjH+48iaYZljbB1QU62cziQScVMIG4ePAGAe2g/qtXBLCzKy9KU9Ohh2gfzVP/4OE65jOkPhG05e0m0ZseuoXipQ1LyGdRyMu1lRX/jRJbCfA8M9PYW2LhjGmUs4585T3x4F95qh97BOrUz0rLsTwdysR+IcWbqC/OU5JWwRHmFE0JuQ9iZ4XQdQH9C/qaMaJbiksrMHrNtZWS54qIiaAl5Ub4c44Qpqa/Jn9tg5W27GH+wAcbQvrpG80iO+pN94iMzuMfPYaOYdHFJbC6yPLTtxzbAvv94P3P//Hbm7/SZeihl7ZhDUrAE64rUE+Zr4wb5bQKLsoqkAK2SBOp2pxWFVTsKE65eSEfO61FFAJNV4CTyHCey5Bpi1KlTsjw6CeZ1BgkmcGRqU4EzSPHXYwltdhTcc5ytWxl2AHRrLNxxPemXH5UBiH6RZP80eq2NXV4VcH33CQ5cmIGNBqbXo1SvsfidB5n52El6bzhMkhfAk+Q0k389h1ldx4Yhzve/nrWbYeU2RfkPTsN4nY1rXFTqUlixOPUBpqRJ1wO6uxLKl91MzK4gVfQnIVjqYF0XJ58nvTgn399cgN47K/rDKObcj+2nfAGZilxts/gN08x+chFmpvnU31HABIymXZ/3ewB79+7d8fAv/MIv8Iu/+ItPe/rHPvYxHnzwQe67777n+cHPXO9617tG/z5y5AhPPvkkGxsb1Ov1F5QdOnHiBLOzL51r/BXQ9Aqolxs4CWBKRxqikc7G9SCJ0fkS1piRR5HSWmIbNjZHgbxOpYzpdKRV1emOAoBVZnapXA+lDSrwhRVYWMYmMW51Etto4s7OkC6vYKMIZ3aadH4RE1tpf2VUv65WpKXnOCSXF7JlUaM2V7Iidhfu4QMkZ87J8s8vycn71EX88Tq2WsLmfUlat5b0xJkRK4E12DACz8VfbIEx5PoxSS1PXM2hY4M9ehj37IK0Gd9yFPXFR3Zuy2cCUo4jmq4hQN02nj30bdrO9O1wQh9EJIvLuFOTmY3DIuq+x6g1D9N7x1EKnz2RtXDUqE1pAw/94BP4+/fiTQVU/vJJ2l9/DX5iyG3EOJs9eofHKCz0sY4mLnuE1+8mePQS8dW7yc+1CGfKwlTlFfkVyWzLbRhhE40ImoeWAsaF7ozG7Yn/khNacpsxxSVNWHNIfTGVdHvifO13xMfJeCK+UgY6M1kYbU/j9jVObNl8/TSFtZTe/jJRSWMdRflSjLvewa6ugzHoYgHT6WxNdg735bbfYrQoomzRYIHfUHQOWNyOGonh07xl7DEAKzYBmzIpKEyZonJJGJv+mMSvDEXxSrpxqESE9Tq1JIGI3ZNAolSqZ0OZ4FQKFRsUkBRcnH4MjsL4Ptxz/Fm/o8PjXB8/jb76ENbVbL5xhtr/fgDr++K91OmSrm9gc558T3wPXEcy7954GB0Zwjq0d7tULsZsvGUPQXOGzqybXbQtacnQ+9ZbKZ1ukF+TrLzetCLtuxBrnFBBkNC4ysPkU1SiKJzxCccsT/6fNfzGGBOPGKpfukj3tr1c/t4EZzFg/LiI8Q/9r1VW3jJJbtMy9y3TVC+k0GoTXbf3Wdf970K9kEzT5cuXd1gOPBPLdPnyZX7yJ3+Sz3zmM+Ryz8/q4Kupubk5APbs2fOCv/dTQeKLXV+TEPxKvfD1sumbthvO5QJpxw11Rpm2ycaJsCvZSH/a7aGLkv2WtiQ41HR7ODO7QCkBAtYI6xEEI8bKpimm1RYhtJUWYLK6LvEqi8sCrDKh61D3pLTCqdXkszabOHtmdwSEWmNxJ8fFvynTHKUXLotQO3sMxxmJrzEGe+oCzC1jz13GqZRxbrxmpHlKW22UMUSzVRiEYC1OK8Rr9MV/qexjh22hex4j+sbbJHgUdlgeDGs7izdc3tE2366zyi7u2nPRWSafTdORfild3xDNR6aFSp84JRqjbm/0mMlCgZUx6Ilx7PoG1YdXMNfsI9hMGIz7OD1hYnRiUXGKO79O7ktP4i+1SY7sFkuBeoHcuXVUYnB7lsGES5xXOKGldKmPcRRuKG7YXseiI2Fphn5QAGlOnM5Llwe4fUEVTmSpnU0pLqYUFyxeT1p/SS6LEPHld2/KYfOIm+mdFKm/ZX7ZnfHoHRkjvvGg2A88xTBvR7bitqlFV+RC6ERcwFMf8ktZRl8Ckw/CzN2GXMNQWEkYO5ESNGQqzviybp0Zl7Aq03zuQPLhjAe5ddmmUVmhU2GgUl/alu7AUlpMiCuuHD8FV37KHk4oIBRAffnRp3lNDddhBLSV2EWYnOQlVv7nl+VY6PYwSytiGFsu07y+hi4V0dUK6cwY4w81Kd57Hrefsu8vesRFyJ/bYOz+VVRi6U+J7cPV/+EUOtTMvRPsucu09yncrmx3HWRDGp4l93ieqJJNY274DKYMtScUu+5RxBUjWrlykUvfAqUHc+z/VEjroLCO0a6yTPdlcT2lzzwOtSp/9bmfffq6X6mvqSqVyo6fZwJNDzzwACsrK9x66624rovrutx11118+MMfxnXdF8RDyRjDBz7wAarVKvv372f//v3UajX+zb/5Ny+pg/cLXc/Z3PLVXK8Uc8tnq5eNbRpqiLI8NBD2Sefz4ugdRQJAsom5oRgaZFpmOG2nKyWSbNprO1BAaZx6FdvpShsva3ENNT26UkJ53ogpAkZu2k61IuLRqQmIYzHgbDQx/f7WZzyDXsgpFWHfDCyukm5s4txwNWqznQnWNQQB6dwCOi+WCbpagUIes7iM6Q9wZ3dJsG/Bx+kMiMcKcoGzlrjiSb6d7xBXfdxugvfQWQGZnicAcHihewrrIYurUK6H3reb5Mz5nbsi05IN98f29RtuV3ffHvGOml/csjJwva1pPGvE6yrLBDThAPfQAWzgk0wU8RYa2M0GKghIllZwd89AGGKnx0nLOUzgEJdcgvUQLKR5F+sq4qJDXNLk1hOMp3D7BqsV7b0eXlfG5kvzEcYRXyQ3szuwGrnwJpbepENuU3yz3IHBuEqmzlJLbj0hWOmieqJbUgaiikdUdVApVE42AOjvqxBWHfKrMbkTC5AkpGvrz3ps2zTFnRxn7r1XUblkRvl4G9dprBb9UuWSTABGJU1UEeF5f1yTa4h7unFEz+VkJpbGlf/rBNyeYTAmbToyds7rZXqniiK/bsgv9ojquQxoiS+UVRCs9VHn5mXIYft3Zjuw3nZcD797I381tiYvdaEgx7bJIo3G64TXzeJ98XH633CMQc1h7OFN1CCGRpPw2H68zQFz76wy+x//BndmGrTm1D/bx76/iLn8Tp9kMkY3XPyWYrAvhr5GGYX1DeRSMIqZT7tYR7F2TFGcl33tdyz9CYnP6e6G/DKMnQxRGXBsXO1RPZ9QPLXBp574pWfed6+AeqnMLd/0997/gphbfukzv/BVLWu73ebixYs7HvuhH/ohrr32Wn76p3+ao0ePPq9lAXH6/shHPsL73/9+3vzmNwPwxS9+kV/8xV/kx37sx/h3/+7fPe/PeDnqSnvuFVQvZ5tue4AsCGsymgjLwnxHk0mlIrbTlTvZzSY4WpyZ42QEdtzZGexgIM8rl4UJ2jWFnV/MxmNF0+NOTsiFPWnJxTuKSDcawppohZqewFyaJz0nX3B3Ygw1XsfJ7cJcmkfP7iI5d3EkWLdpKnqoconkhGihUJr0xBnciTHS/TPokxckjsNxhK1odUhX13Fmp9F7Z9GJtAzUehPt1onHChjfQScymZaf74DWxCWPwql1otkq/bdcQ+6vHxWm7c6b0Z9/OLuYOSOWwJ0cx06NiZP3yhrML462v/ZcTJzgzE6LjcIgHAEop1TE9Hqj/yeX5p7miWWTGEsm6FcapSy4rrRJC4WR2F5ZQ7oNmDmV8ijKQtequL0m0Z46wUaE0+jDwjKu62LDkFwhD4UCtlIgnC7itmN6u/OU5mPcfooOU5xuRG9/maCRYnyNM5CpsKTq4zYj/IZDXPKEkXEU3iDF3zT0pwKMp2hdXcXrphhPScxNaqk+0cR6W35YhUfmKbgu9HqkB2dwNro4+TxmYXEn8IDRZKZpNDO2SmwZGoc9SpdFQ4W1hHU3E5yLzsp4iqBpcfuGqOzgGMSmIBOxez2L1zN0p138lvhXVe+dp3X7bnRi8doJvWmP+hM9orGAqJ7DavCbMWnOkVy5bgyPncZsZx+31/abAaVxZ6ZJl1fofsetFP7w3qc/z1ppkd98HSSG9PHTBJ5LmsQ0D7gEDUtcz+Mvys1HMNckGSuSX7UMvvV28p98gPTNx7j6Nxc59Y9nxOl8xSOeiImti7XgjkUkPRcnn5D2XUqnPXRiaM1K+7U8l6JSy8ptLoUlmUzMrSjcviUuOuTWUlZv9ahcsBTONV7RgOklrRdQ0/TVVLlcfhowKhaLjI+PvyCACeCjH/0ov/3bvz2KSwE4duwYu3fv5p/+0396BTRdqRemXi7gNIpTye5ah2LwoQ/RkDWxaSpAyRrM2kbWztOk/QF6m9dQurwi4uxaVdoG1Qp0+zjTU6Qra+I4Pj4GcYwq5lEmh200paXne+ixugR8bjaFjcrnIElGTBYgYb/DykJ+nRuuwllYIVlcfto6mlYHp9HFRLForaJI1mEItlbXBfjtmoIggDRFX17G7XTh2oNYz0F3Q+KJEm5rgDKW1rFJ8ssDVGwI33oD+ROLuPc+gT64D9KUdG5BBPO9Hna8TlLL4wQeztQYamFVcvduvGoU2ZJcXtga1868rtK2GASpIJBsLng6OBhuhjRFuTKlqEtFCQ7u9ki2japvtzdIm004LgJ1c/qssBnnLkirsVCQkfF8HtvpopQivTyHMzVJkKaozTblxzuoelUCmPM+JucTrEdEVY/8Uh9nvUO4v05wehniBMdz8VxXhgp8aeFZVwvY9DRe34i2qZuSehodGaxS4o7uu6hWD7TCLK+gfB9nfl3MLbWS7ROGwsI8JZPOxAl+2xKXNMZTFNYMVkFccvCbCV7PkGYsUG49ISk4WCUeTn5L2mj9CUXQEMNQme7TeD1Lb8rBiaBz8yzuwKATRVx2ya8lpDkXt5ugEkOad9FRio5SrFbw0Ans8KZkezDtMwEoGB3TpU88KGLx7SLxNAWl0KUSaTZEYO68meVjOWY/5TH1gOx/p9XHLi5jjUGtGtw4wTlcoPDnD2MB5+7jpMD4YzP0prJJycQj2hdCLEJwVUwwTR8VGLrXh/RusOz/H5retEdnRphEk1ksAORXydpxls1r8jh9qD7ZQq1sPON6XqnXRm1sbHDttdc+7fFrr72WjY1X776/AppegfWSAydrsOYp8rbsZOwUC2I3MAixUQzK4o7VsUkiAtwoQiWxXKDiRFzCSyWZgIsTzMqqtBM2NtHVCmpbTtjwb2Stv+H4vVJaYla0IlldxykWULumMPOLuPv3Qn8gr200oSa+LnpiHKbrqF6ETc1TVkWNcvTMpTn5DM+VOJSsZQiMsu7M+gZcdwg9twLlEmoQYh49jbN/D/FMFf/iOqZeBKUonWvROVgmvxqh+wlmqoZdWsFuNFCT48JmeS4mTSHvEVd9+lMBfjtFjxVQqUHf8yjO9UdElL59twzbc1mZ/mCHTge2gd0gGLFRzngdOwgxl+YF/FrzjIHMz3YsgIBm99B+kidPjz7TLA8kbHmjAY0maeY35VbKEHaxl+dxpiaxzRZ5rcV6olwiOLsG3f6OnEDleuhKSfZ5FOHN+ZAkqGoFWythfRc/tagwxuR8aHfFxHJ9A1WtSCsqn4M4xqysjtq+sJVtNhTUDwFJ5fyA1sEcYUWTFMWsMr8aid6qbwgrHijozHooI9oknVqcUNpyblcR1jQ6tgRNMQi12uIOJBNQJ1lLriTfHbcLaU7jtWOUEWsBD1CJwT54QnzNngn8PmWqExgdvyM/tW16uK12biIeab6PKua58K4cKoXlr98FiLGmMjmCXWVyFzYwC0uw0UClu2h8723U//hR2R9JTO1kl9XbCngzPcrFAf0vThCXxDern1PgGUgVCo3VlvN/XzH7GUtxydDe61C+JIaerVDT3S3WEUleY7VMH6qzc3zq76KJ5bOU4gUQgj/PZXiho01uuukmfv3Xf50Pf/jDOx7/9V//dW666aYX9LNeyroCmq7UqJRWoxbQ6IQcRdh+X0BNZrSXbGyOLkZOsSDCcN+Xi7yxoJRMxs3swqxviAjcaFS5hG22hX1qtgXohBGm3ydttSWTbayGubyALpewk3WcuWVhbC5cxpmdhm4PwkjCgjc2satruNccwVyYQ7XaMF4XMfdwPWDLDBOwRgBS2t1qd9k3H0Pf8+jo4moGITz0BKpSFt+pXICTCyRB/txFTD6HqhTwmhF6s4s7W8JphdicC7HFObwfGi3MxcskbzqK+6XHZPJPa/yNkPBgAds19Cd9inN99HVHiMcKOMO2me+jtmlW3KlJEYKPUuS32qjDlqoNQ2nLBQHp2jq6VAKt5ALqe6Sd7rPv923BzEOAFH3j63Afuog7O0OysNVGTNbXR587smqYXxi91swvimat0xXNWrO1E/xlgncbDrAbW6aeKpLnqHgDMv8sGeiSz7D5PDaOJfw5DLHWoMIQ0+2JyD8bVtD5nGy/8THs5bkdDI764iPEN7wBv2OJi4rcZrZ9OzFxxZfsucRilcYdWKxj0ZG83oksXjdFxyIAT/Iav2NQsWEw4YmgPDTEJYegKV5MoslyML74VhUWBqiHTwn4eSbRtxygTwPG2x9XfravtrFMw/b58DW6UMB2+1RPyxSgSgGFiPIXNkUbWMjLFGwUUf/LM6QHZ1CFPJ03HaLwpw9y8ZtK7P+zmP5EkcZ3WsJrQgqnArw21E86LLzDoHMJtuVhcwan42A1WC22ErkN0YTpCOonRbuWBmLHULzwd9T1+2+r5+HoveM9XkH1K7/yK7z73e/mL//yL3njG98ISLTK5cuX+bM/+7OXeem+9royPfcKrZd8mm44gRUnO0bwTZzsuEArxxFRt7Gih8nAiNn+21rc8XFsr4+uVUWPMTEGVi7uNkmk7TOcQisVRZA9MQatjjw+CFHrTWyvh6pXRdS8tiEmmq5DsrGJvvawgLX5pdEFwzallWXTFOeGq7Z8nYoF3F1TuFMTEkex3Zvqiw/L723tRRANl1leI1nbkMDeQkEmAfsDOD+H0xmQzNbx10PC6QLW0djAIa0VMJsN4rfeiL7rYeI33yisi4b+rtzWhTi2dPbn6e+v4l9cw5kcx901hZ6ekum3LOQ3WV1Hl8tbjNk2gfkwykW5nmjChrszjiXXLhygyiURxj/brk/irciZO26k91134P/5fdg4fsY253D7Zhtr9Ftn4bkqFwhDqRS6UsKpVnHKZZzqTrfnYV6hzudFk5XE0jKNE/k9/ImT0ZQmjgNBgFJaWoJRvHOCLklgoo5tNLfWKTu+ASZ+80vERUX9TIIy0J31iKq+tOlaCcpYSnMRTmjwOga/neK3Ury2uHer1I60I1FZ09vlkXrgt1KiqivTgHmN209BbbFPpYtd+JtHdgDIHS250UZ55lPy8IbFbGuzPu01I0AaojyX2pkBB393kSQPk79/AvfCskSa5HNY18HccAiVC+Tm477HoVxi9RaH9vfcRm5DmCHjQe2PSozdE9CfFsuCxhEtAv++C4UUFWlyy5q4qElzwrolOUWag/IldrjP1x9v8em/y35Mf4fq4MGDnDp1iu/8zu+k0WjQaDT4ru/6Lk6ePMn+/ftf7sX7muvK9NwrvF5W48thbb/zzUagAXSpNLIVMO32Dv8hlMYdq5NsbOIe2g+drlzwXEfGo+NE2m75HGSGl3S6UCrKnXAYYSfrqM6A5OJlGetXSkw161WStZ098eF72TjZijfxXNThfbCwQrrZlIt6qYjt9lH5nAjWZ6ZJFpdHE32j9xqriZfUM7RPhj5Q7uGD2JxHWs6TFl2sUvirPXAUKjGYvEwVRrUAf3OA0+zDZhOzZ4rWVWVhABBa3uukuN2Y/nSO8okNzOnzOz5baYUzMY7ZbIzAFLDTeVzpkS+WU6uN9olNYrTvo/ftgc3miC1yyuURA+XunhENGWBvvx53cUPYm/XNkZfU0KTTdDpiJlmrglbimTVkOfJ51JH9qKU1YZsqZdnvYQSBj+31Ub6HaXfks7YBHhUEW47t24+3Ias1XIb9e7GFANULsYGPWtsg3dgcTXdu32ZPm2AEmj/wRvIrCUlBE9Y0uQ1DsBERjvnSjusb3E6c7TsfZSEqO3hdcS23GqwjE3BuJ6Y3mydoxCR5B2dgSIry2+0lON2IcLKA9xcP7GCXnhEwbf3xmdmmbPuOPKngaczwdrZY5/OoQp50fUP0hVOTLHzXfmY++jj2wG50o00yO4a72ia9cHnktN//ltsZ1DTtA4qxxw3Gg7Vv72PnCqhYkZRTqicdGjfFOE0XkzPoSFM+q9BJNi2ppJUXlSSwOC4opv/sAumeCf7inp979nV/hdVLNT33lq//RVz3eU7PJQO++Ne/+Iq5vjmOw+LiIlNTUzseX19fZ2pq6gWxNXg56kp77hVeL4cwfMjObD9xW6NHk0jDE/7Q4VrFiYhyx8ewzdboQpxsbIoX07mLuFMTmPVNcDR6ahK7uCQC3koZen3RpwQ+thBgzyyhK2XsucuoiTHcvbMS4RIEmMVlKJdwtYZcAIMQ0+5IizBjJnSQEzC2ZxrV6EAQ4F5zmPTMBUwmYndrFVnPMMKdmtgxsp52e+g4QZeK2J5os9zJcUxDgn7T8xdBaZKz54VhyedwPI/45sOE0wW8ToJ7aRW1uo6eniCIKqjEQJzQfNth3L60K4JeittL6U96+I2Q/rQYaDaPjVHxXfAc9MkLpJ2ugJ84Fu2O5+LUx0SPlVlADJeR1KAB0+mK9cJUnXRZwJBZWJI2XrZv004Xd/cMyfwiyfwi7sw06+88QPVMH7OyJu+dRde4Y3Xs1Dh4Ds5GC7OxiV1dR0+MoV5/FGe9g815rN4xTmkhRs2UCJZ72DSlv6dCmtcULvewrkZHCTze3ho2kAMMZbeJt7eZfW4JpeUkm5y/BMiEpz64FzsxRnTLAfKnVtHd7shmYXjMbj+OzZ23ULqcsaK+orCSjowFk7yisJSAhrjqoyOD102Iqh5ObCWDsG9IChq3K5YBxpN/t/f45LLgYrcrLJOKDebBx/G23WiM1umZajtIehYxuHK37D6G7PDo+UOvr0IAUYyqlKFchI2GPKXTZfZPF2S/Lq7Seuthipe7RLtr9G+ZovLYBstvm2D6C2usftcEOoTObk15zuA+UWT80ZTmIYc4cnD7oEKNCQwqUZhCSlx28Tpiw+C1xW7CHYjH1fSnL2Gmaq8qwPSS1ks8PfdS1LPxMZ1O5yUx1Hyx6gpoehXUSwWchqaKwIhRskZ0FCoRLZDoaox4OCF5WEorucPf2ER5W2G/TqUsHkuFvEStRJFcfNsdEfKCaH96PexyhDMxjlpvonbPQH+ArlZkasvzSNfWccbq6Ikx0ouXRbMzZBWsHQErs7QiF+Mowtm7i3RpRcTpUYwzVoNKWdykaxXsytoov+upNXyP4XYx7Q56dgYdhiRLK8Ja5fMieM9aJs7dj+JPjhNdNUP/hlmsmqVwoUFvX5n2HoeZTy9RutilfbCYOWkrwppH+fcfoP09t1F9vCGfnfeIJ2T7pndeh9NL8de6qO4ANptyccyiU4aATzkOpt2R6b96FdPfRAUBttfHObCP9OIcRNKGs/0B1kirJ11akVYaMp1V/e/Lst98H8d1STtddD4n7NT6Ok6tRnLtftxSgcGeKjpKcb70GEyO079mH05sae/xQMN4J6E3k8O4MsK/8PYyVgsDod5yK9VzCcFGhL7/hLTktrl6K8dBFQrCZOYCSM3TtGomijAnz+JcfwS/GZFOV9EtMWg1C0s7gYfSNH7wDrBQnotwOzFR1aW912HsyRCrFZWzXVRqGewqkHqKfCvC+A5uN6U/5REXNIU1EYVbR2EdlRlUQmk+RsfZDYZWBMcvbOUoDtu9zwSWtmuTnoVd2l5pZnAq22HbH7aZYJpeD2fvHpk2PXVuK+7o0G7sE+ekReh55NYjlu8oUz2fEGwmpPUC44/1GOyu4LegsGKIKpqwqgjHxbRSJeK5tHGjwXoW3degIFh0Kc1borKiuxvKF7J1dmDs8R70B3z6gQ/+ret2pV4b9b73vQ8ApRQ///M/T2F4rgfSNOXLX/4yN99888u0dM+/roCmKyWl9GgqZ/tdsdIKUjFLVEEA/QHK22qVSatIXmf6A1QYjqJPbL8vHk2+L3e+jjOaoHJKRWnNaI2uVUlX10lW1mQ6rt0RFqmTgSKtxW3cWpKFJbTvjy6g6qZr0E0BLXaziXvNYcz5y+hdk9jzMinnjNUwjaa0HzpddLkESQpvPIa95/joYqMzh+nhxW3ojzScWkrnxA5gOMKunWhLo/LGm8BYupM5VGLJrfSI6zmaN47jNxOcgcPm66epf+Y0Qf0gXjsmqnqENYfkbcfIr8a0r6qSXwkxnoO/0CatF0jyDt1ZHydMiWfLuLM19LllkgPTuKfnBExmrTg9PUU6tyD6K98Xk85yCbO4LICxUMAsLI6mBYcGmjZS4tEUBFAqYAt5msfGCCsaJ5KokPqD66g4oXPDZBbKWyQJwIlB3fA6CisGJzJiQnkxIi67qNTQmdG4A6hciAgrPnFJXMOdAXSnXdp7XZLX307Qsox99N7RtrfGQq+HKhQEiLtWtHSDEGXltDVsxaWPnxJ28cg+VLcHpcJIwzUEGQC1U32aR/K09vuMP9THGRiKi4jjOIak6KPjFB0avFZKVPVBydSb30rxuorutDsKGUZBsB4SzfgUFiOMr/HXepiHnyR5SmacMGd/y6ScPHEEGEdxRs/icL4j5HnbRKpyHJxqheTi5dHLTKeLMz1JEri4Y3XMZgOzsYnzxVXcI69j4xqXqQdD3Lk10qk6Ku9SWjAZwLWU5mKc0GPtmMvYiZTGYYfpLyvCiktnL7h9iCoW40DjaMr4/Q46sTgxFOdDvIUGn1r+ja98Dvo7XMpaye18nu/xSqiHHnoIEKbp0Ucfxd+WlOD7PjfddBP/8l/+y5dr8Z53XdE0vYrqJWvTPUXDNIoH0UoctQGVz0OaYrP8rzQDQ9vvpnUuQNeqIkx1HHE9jiJJO88F4l7sCxgBcHZNg1IQ+JhSHt0djII+MQY8l3R+CWffbky9hL68DKnBtNtw49Wj6RETuDiNPvbsBfT4mLSkdk+j4hS7uAJ7prGui7q8KGCuWIAkHQE6We0tdsC9+hD0B4SHpwkurmPXN0e6nuEUnnnDDSORsI6zbRTGmIKPs9YGrWkfncTtpQSrPfTyJuvvPIDfNhQW+vSnc7g9af3k1iKMp0kDTf7MGqZeQoUx1nFoX1UhaCbkTi5BPkf7+nEKC326u/PkNmL8+SYMAaLjQLFI/5opcvedEfDhONh2R6Jg4gTnwF7S8xdHbTDlODjTU5jNBurAXpKJIu6j51n97uuJS9J6cQZygjaeApN5+cRQnk8ont7Ezi3Cob30Z0vgKILlPs6lJfB90tkxGteWGNQV1fMJG9cKAMqvWoqLCf0pl+p///KOw1HnczLFmC2/Wd+UKbI0FQYlW9f0rTeR5ByCv3z4adOAIIxh83tuw+savFY2RRlorKfwWomAnvU+JhCH6zTn4m/0SUo+w7gTHYmuaehBpL786NMZpO3s0VOOpa9U2nMhMxPdEblD5vidJDvamtuZt+G6ulOTJKtb7WZ37yy2WMCevUD85hvx7n6Uze+7jdoTHcKJHEnRIbcWoYwlyTsEa30a11UoX+yDUsQVj4U3u+SXoTRvCKvCLvWmoXzJsnmtaJmiusHpKwoL4meV30gpHl/kU+d/7Suu9yu1XipN01vv/IUXRNP0hc+//xVzffuhH/ohPvShD70iluWFrCtM06uoXoo2nXK9zCDRG41GDy9KypF0dkBAjFIy+dQfyAndcWS8faOx5czd7ojVQH8gDuCHDkCzjQ2jUc4cIJly65vyHn0X3e5AqYjN+6j+gHT3pGSqDfUZj5yEenVkf6BOnEW5rngjNZqwZ5dcVCdqcGkRtd6EYgH27iJ9/DTccSNuEJC2OphbrkJ/6biYXN5yLfbex+QzjMWdmcZcmsfGCYF2sJWCaESUxvT7khU3M41zdgmqZaLpMjqM0QtrpHunxbyx0USNj1E6uUk8VSIt+jBdJ7+SoFNLGjgULnbo7S9hXBEaK2Nxewnx7roYRc53GMyWKH/yEWwUkWSZe4VPXCR8580ypeUoWjdOUD4jochJKYd7cZnc35yi+7ZrxMDw5mvQJ3vo2V2k4yXauwuUlRrFuVhj6dy+l/7EAaxW5DZSOj9wPYUVQ27TYnxFnFdEFUVu01JciDGuonDfOahVoNfHXr2f9qEyQTPBX+4STRQIpw+SBIry6SZex2CVJqo41M6I0WPl8Q3s2Qv4UUT0ja/D//QD6FyAGYRiJWAttj8QSwtHy3ECYg6phMlxv/QYOk4E3G+bAB3+W09OkF+J8doy4ZnmJOrFXQkxOfFmGkwVCDZD3NU26uwFDOD6vmjlsggTfWAPyalzO/R92cZju38SbFkzPBUwPRuQMnEyGmketsfJDGaV75MOhfLDjxyKwIfrCsLSbq9s8MGkKd7dj6J8n/rHH8KEA9r/55uoXIzxn5wDxyG6dS+9vSVyjZTBZIDbMxTuPUfumqsJGpbubBbMPLDCvO1S1E5b1m+2lM5rvJ74QYVlTX6h96oGTC9lvZaYpmH9t//2317uRXhR6gpoepXViw2ctkainVEkByBGfFGUASNf2iS5QE7ajiMXsigetQqc2VmSyyI6ZRCifE/8hi7NywUju5vW5ZK08Hp92DuL6vVF9A1iqDm/hElTdLsjMSz7Z2F5XS4Q+ZzYB0yOQ6uN7fbErqDbR1krFySlYP8sLK7Kc3ZPilVCGGPHKqiNBt7FVcjcxdMHnsC89Sb85TbpmfOkyysMg3RtpYDqR5DPoQE1MUZy9gKsrGWmgh5ON4fJeZhDM4QTAcZVmIPXjKaynNDg9FN0J6TQi0jqRVDQ31siv9DHafcJ91SJiw7KSmCt1zXouRUK7QHW99HlEqbRJLp2D/5CmcLZDYgiWrfvJi4qkmqO3q6AYDPBGa8yOLaX0uOrpMbinF0gue4AnQN5/EaKMzDE02UGR19HVNKMffJJCp95FO8N19M8FNCZdSjNpfQnHCoXY2wfdKRxBwp3YGke9Jm8t0Hr7VdhXBAkI2PmaeARF0XPlQYyVdWbHpO4ko4l9cBUNLlNQ/9QDW/iBvpTAfnlAe333EH19x9g/qffQPWCwQkt5eMr0GpjWh1hmkIrVhWJ6KG2vKMc3L2zpPOLO9ga2++Te+QCyVV76E8FMh7vKCphinthmfjQNLm7HsMMwh3ttZGdRpzgToxhzl/a0RbTBZm2HIrn5cPEUFTv240pBOgL8xJxEgTy/YkidD6/w/BzOFSA56KHoHz/HlhexbQ68Ex2A9traEKaTUEOl8MmCWYbKB6ypCs/8SZymxZ/fUDzzkN4bRGwS4iyZuKzc7RumyV582FK80a8rTYsvUmVWSuA14XmYUVhTtgmryPxOFNfXEP1w2dZ0Ct1pV69daU99yqtF51x2gaYRmxTIILc0XM8l7TTGekwhid8lbl8ozU2jkk3mzjFgrTyalWZorMGPSM5a7pckrbReBXV7IAWawIbuKi1hrxPr49yXezsJNZzULHERnBxAbVrEvoDAWJZ6G/a7Y3Ww6lXpRWoNUl2QXHH6lAuYcbL8NiZkfYp3Wjg7N5FMjOGe36RZGVtxHgMt4W++jDm9PmRiWW6tr7V3nI9nAN7iWaruM2QpJYDa4U5avRR/QhTyZNUc2Azl+h2jHU1VoETptJG9BzSvItKDIPJgP6YQ2E1oXC5Q/O6KvW/PIPZPUnjhirOwFJcGNA+kInHPRjUFV4XgrZBx1B5ZIXekXEKZ9ZpH52kP+4Iy+UpdGLJNQy9CQevbynOR7T3+6hUvKR0ZKk8uES0b4yk7JHkxHcnLsoyFxfk+cZR+F1DVNQkeUjyUDtn6I9plAW3L6eauKiYvK+BefhJ0q+/BbcTo09fRnkerbccAmtp73PIrVv64+L3EzRh+n+dQDkOK995DeXLMflzG5hyDnVunvjYQfy5za2MvQzULP/kG9j1pbb4EMGIDdK3Xi/b9+7jADj16igeSBcKmP4Ap1LGdHtPs53QuQBdKtL4+iMEmwLw8ycWMeNVzPEnn9ae054rovwwlLY24qNFkoz0ZQDurilsr4+NY2lfRzGX/+kxZv/j38iNyN49mHpRIneeonXSnkTTmH4f96rDJFkkzo5l2CasT6/Zx+KbikzfPxDdlq+xnqa116V6LmIw7kq+XiehN+XhhJakoPE6hu6MQ+pD6oueybqAhfETEVHZofL4OslYkc/c/a+f41nnlVcvVXvuzrf8/AvSnvv8Fz/wmri+vZLrCmh6FdeLBpyGYvAhaHIcTDgYaZtU9tumKWQ+QM7UJOnKKs74mIAZa6VNoBRmcRmVOTqTJCN3cRsnOLt3iSjbWsjaH7gOdHvYybpM33X62FIe1Q3B0djlVTn5FwqYdhtn94y0bfI56HQxU2OY40+OvJd2sA5Zjf42VodSgXRuYaenz7CsgTfdjLr38R3MwlBLY++4EXe9A/0BdrM5sltwqhVZtukp0j0T9GcKI4M/t5uIY3QiF+O4EuAMMnF2aiUcODYYT7QjSc7BHchId+HzJwlfdxXBSpf00ZO4M9O03rgfJzKkvqZy/zzrd+4h9RX1kz3WjxZIclBYkxFwrKW4GNE4nJ2gFRgXamciujOeRIM40mLBQmE5YumOHMGmTEIVl1L8VoLVCqsVUdnBOhDWtJg/GmktAoRVxfT9fawC/9IG63fOMv65y7Ivhpqr7PjCcdCT46y/fS9RWTH+2IDGkZywGT1LaT6hecijNJ8QFzXrR2XbqFQu3PkVmPid+6W9lbXTQMDCyg/fztR9LQHHSYxz5CDJqXM7DnntuTtZqcy8Nb3+AK1DBaqnO/R35Sl85tERALJRhLNrmt7Ne/BaMd7F1acdZ6MhA99HT45LRMwpsaqwN1/NYDJH8Mn7UY5D4z23U//9h7FRRPt7Xkfp4/cKYL/lGvRDJ4XpVVqMXtvtEZhzSiW5SXiqaPxpX2s18tdae+c+mocUB/6kjR5ErLx5HLcvRpxuKL91zIh5shqisrBJxhNA7PYhv2oY1DVBU8KVK6c7YMxrxsDyJQNNb/65FwY03f1vXjPXt1dqXQFNr/J6sYDTdq+m7QAKEJfpYZsukkgT025LwKzvoQp5adkliQCoYkHE3HEMWmMaTWlTZOJwPV4XoKSUAKhBKPoYrUU75WaePUOGKUmlDVcpCouz3sTWKtIOiGPseFX8gC4vy/tPT5FenhPdlZY4FzLn8qFJpsry78jiS0Yu6EPfoNcfxd77GO7e2R2hurpcljbj9BTkfNLT50av1fnclgj+9uuJqh5JwcEdGNxOgtOPSYoCQI0vrI3bS1AWnE5IWgqIqh5eWwJkdWJxBhnQKrrkPvsoevcuNt40w9iXV8QctFigefMUTmwJq8IMWEfRmdXkNq34CPUtKAgrmqgsLI4TWYJGik7FCiEuSCBtbtNgfLloJoGitBBjPEV/wkHH0B9XuCEETYvXSSk9vED32CxRxaH+6VNQKpAMW7JZjbZPLsBmTIvOBSz/H8fY9acXwfdovH4X5fM9dC9CLa2x8a6r0LGYJJbmY3JfepJLP3FM2Lq8ADodg9ODvb/5qEw9bgfJnouuVlh4z9VM/z9fzvZPJuS/7QbsA4+Ll9juSazWOJsdkqkKOpKctOToAVZuLzDxaEhvyqPyvx/A2b0LW8pjSjl0N0StbGB7/RHLOTx+RstQKGCv3g+JQSUJ9vQFMXmtlFG7Jkc6KefAPszleWyaMv++O9j3BwuYJQnAtlGMnp6QcOkMGK798B1M/L9fHoHPYYbj9mGO7TcD7t5ZVv7ePlBQvhQRVVyisiznxH0bxONF+lM+7sCQn+9y+V1V/Ja8VVwQ4T8Kpu+Lae33yDUy4NQwlM/3+cyXXv0M07CugKYr9dS6EqPyKq8XJW5FaQEO2Yl36EA9cqHO57P2nRr9e+jbJAxSLMxRqYhptLCr6xKwa7aysYbP1ZWSRKMMQpmEW12Tsf+VNezSyhaYArE58BxszoPUoNp9VGKIrpnFXpzDFgPMdF38jJ44B64rF5p8IOAvn5P36PWgXCLdbOLumhpNjZHFyGy/2CZ33ixu5Pc/jlMpk1xekNdsi6ywUYSpCoBzDko8gFMsjCwZTBThnLiAM5CxfIwlKTgMpvMYTxFXXJKCJqo6rNyWJw0cESanFreb4ralNRgXHZqHc8LAFDTRnUfp3DiNMhDvqtB+w34GB8bw2yluN6X+eJv+pENcULgDYWUKSwlWQ1yQbepEwhoYR3LS+mMOylj64xrrirlhXFB0dkubrHGVR2fWJawpkpzC68OuT82TX42JKg7rb9vLYMwhvyLaONtoiYg50/LI4aWE2cku7jZNMf0+0x+TENuVr5slziucM/OYwMO0OtT/9AkqZzqMPd7B+Bo1PcneX70fvw0H/qjBwT9oyDrU4dxP38jgm27bwWTZNCXd2GT6P9+HM9SvdXu4+/finF/APXJQ2qyew8aNJVo3T+OuddCL66hSkTTnsus/fRnvC49S/ti9oqlqd1BRirPWFsA0WcdevR93clzAT6WMLpVwZnZhX39UAM+FRfTKBvbMJfTUJPr/z96fh0maXed94O/e+22xR0buWXt1VVdXVy/oHSBILCSFhatMW7vlkWnJkg15t2XJ47ElPyNzJC/zyGONLMuyRVqiRJkiBVIiSGwkQCwNdKM3dFcvVdW1V+6ZsUd8y713/jiRUd0URwTRC9CNOM+TT2VmZUR8ERkZ3xvnvOf33ncXxb3S+TJzDQm7ngimzh97FJPD/ntXmUbIGC2k+ntPyXU3m8z/b4+j7r+LjT/7sPxNVsqYu079C6b0KeBze5eiLIJJ557aqz0W/9kFqrcKVFrgQk3jqU1U7snmS7ResuI/C2HxuRxvJE+uezykdrPApJ7KhqWynr2rBNPbWQeA1Tf6Mau3vmadpndJvRUdp9eRwRGTuJ6gBg5S5ZXWkw2e250aVatO18LVwSaPlo0nPxhKlEmne/t24hg3Gk1p1SoIxXieFwLmW10A68FMxJP3cn2A1xo9zsTTVEpwSYS6dO22B6so5HbHMtrTrTnc3j66UoYwhDTDdrpTQWg/9ADxhQ2Km7dDas09d+Jflg6SikLhUR1wcWIJ9FVxjOt0sQ+doSgZ6RhN/DIH5T7wHqJLm1BKGB+bw8WawZIhaTt07kmbRqi+SsZ0pe0Ck9opSNFNYIoH1++NYAkAsoYh2SvIatKRyquGvKRAQTiYBOsmisqWJdpNGa4lmNwLmXw/xyuFTTSjBdkoSxvS+SrKsPB8ymgxlAyxTDanSruWzvGA1ksZXisxE99VBSDZtyQbQ3R7IJDJgyDkLJMxVbMuHrVDK/hAY59/GVOroVpNRmeWGS+ElLZzor0x+so6fmke+9JFzFwDVa3gFhqMDlVI1keo3JK3SgxXQvKKZrTE1HSOh+pNWPy5p8F5VEU2PZUxqEoZn2a4/mDSodHoo4dgr03/fScZtTSlXdnsyyua5i89g55vYTe2uPmfPMKh/+EJVBSij6wxPtok+uLz9H/0fupfuIg7vIy6dA21vCjojFtbuMHwtp/PaBH9SQyHl3EvXxZB88Dd8MxL6Ep5MopTgllwTiCjr/XWTTZV8X7a7c0euAPzm99ARxH5D9xL9LWXb4/tXtNtMo06o/eeJhwUhNd28LUyrhKju2PSw3WSVzbJj8xjehmdcw1cIJ3IqGPJK4YgdYybhnDoiToFg9WQ+U9f4lPrf/MNvd58N9bb1Wn64Pv+yzel0/SFr/4/35Xnt++mmm3PvUvqTd+qOxBK1qIjM8UQTLeGjJmGfepyGb20iL1+Y7LB5NGHViZepga+2wetZCXWaMhzVKs5PZniHForiuFQOkIASonReq+NfeECwZ0n8UEAhZuKJx9MtpuSCN3u4habUDjsPXegswI/EVrqlavS7alWsOsbmNYcxfYOweKCbC89di8AwdVN+K2nsROA5TQu5vlXxM/lxZMFIuxclska/Ggso7i77yC8toO+uUHxwfsIHziLe/rF6UOqv/gMvlqh/8hhzMhRfnkHnbbIq4asboi6luFigPKe5oWU8NoOo7tWCIYFg9WI0o6whPKqkSiPkcNFIrxqN3KSSzv4UwuY1KEzj1sK8Eo8Qc5AXtbYUNG9o0zt6ghbCohGBdlcRF7WZFVNNHAEI4c3YMYe5WG4LB0iMxLPkjOK8ZxBObCJpr8SkN8dUrvuGC1qiiQgL1UJ+yW4a5HyxT3c5WsEJ48xOLtI1Bah5UNNVg/ofej7KO846r/yHCXv8XevEvRy8mZM/0fvpPWNXckDDEPJubt+C73wIGjYv6/BYE2hM2FIJbswnoOiIiO73lEY/MUHqF/2JHuW6lM3RbAbI2PVJKb9E/dSvTZCr3dAKUo3h/QO1cS8PrDYRDH6oXtJfv1pvLWs/fXHUWEARYG9eJlkv4UD6o9fkzH1Vcvev3IvJveUb6X4hWPEl3bo37dM9dlAhE5/gB+M0Nv7U/Coffo8+tyd+ECz+b4Gy493ISuwz78iz/ODDUGY+ppULG9KVLXC1kMxhx4vibByvKZDe5s4Hiy0JBjbKPbuLlFaOkRRUsz9sxcZve80wchSHJonbUWEscEr8abVrzlGiwE2VNixiHGdO8YLAXMvdN+VgmlWs/rdaiaaZvW7l3d4OzGB58U0ANeNU3knPBjiB6OpCVUPh+hGfboObq/dxKws4Ts9eUccRRBO4liyDLe5I16mohDDeL2KPryEf+5lXJahtMJevDyli9tLVycCLkKvLOKaNTkxABiFPbKM6Y8p5srocY7eH8iKdrVCMRhOCdG6VsMvz6M7XfEzeYd68rz4ayY0ZbxHLc4LTmBSLh3jPvgg0Y191NYOanEeP9nUAqT79PR5iglZHCeQTfuDDxB+6QXcQ3dhuiNcElG+PiRdTBjcJQIn6hTEbU86F8oI5Kk+5uYuxZFFwm6GTguqN8ArsIm80y8S2VDMK2KIHqwGhP05UIqiJLiC2pUx6XxEWteEA0eQysZbOHS42DBcCtHFhK4dKBpXUsK9ETgoAT422CSgKMU0nt/HlSPSxRLx9ggXGZT1dE+WKe9Y0kwzXNbYGChBUdaUtqG8kWMvXmb44w9PQokt2+8pU9l0DFY0a5/aYDy3jCqAomDjR4+y+L+K52jwxx4lryjy+QrRYJ7+/SuMWncw//NPU3rhFpRLzJ33zP3iJfTRQ/hA07m3RVbTxPvivbGxbHntn4WgH7Bz7zEq657RguLoL1zHzdeJO1aCdY+32LtrlZXf3mf58Q7ZfImipKm/2OXGx5pw7hHmXraUf/XJKR/JO+FH6RNHwDr85hZkGfNf32Z0fA4favZPxywMmpQ2xwzuW6X8xZcZfd+dlG70aJ9rUr6VEj5/BXPqBKPVKnlVInfs5avCoToIwJ5AK/UkbFoZg27N4dsdyQI0xygeO0u00WPjgZiV3xr8C4sNxc4ear/Dzo89wuHPdxkeKjM+FDB632k6J0IWvllgY4POPIPVCGU9a7++xd6jS5jUo6wYw6O+oyhpyusZv/HkX35LX4q+F0oWKN74dczqra+ZaHoX1ZvdbXptVwnvZPQWBlMqON7hxql0cHb30NWqnEyyfBp2C2D3O/J1lqGrFUhiVJZDmolnqbCwvYdu1PB33iHdod4Qv7svgmwSSHsQL+HWN2F9E92oQ6uJj0N8pLHVBD3OUReu4c4cx600CW7tEiwtyLv7oYwA3QsXUA+dI9jYww+HqCQRUTcaUWztoB46h75wDf/99xPsDLAvXZSxxpeexUURKgiwi3VMsYrb3Jluak0NzscOE1/axK7MEV9rQ6tJWgvJqwEmddhYTzfobCWgdzQi6ntGLU3c9fCN8/hymWzuEMnWCFsOcYHGhYqwl+PGGrxk/CU7OVk1Itl3kwBZhY0U5VsCQaxc6VEBOmcb6MJjI0X3mKF6Q6Gcp7yRUVTlZWCwEtHoZBStCK8UwSAHpahf6OONwUWGeHOELQdEF9bxozGtVyOKk6vk5TJ5GerXHXlJUd62xLspwXqb7k8+TPXqAApH/44aq1/YY+MDLZqvFvTuXWTu/xAT8/gPvAc8DP7gI3gFyU5BMDKEuwOKq9fxD6zQvDgW9tGNW7DfpvPI/fiz70E5aLzYoXZ5iCrKZDVhCUmnDLxW2BLgoXtCYWPPxo8cYbgMURvSx5oc+u2MYOTpn6yDgspvfJP4xGG4eouj/8c2VCsi8hfmxat3/2nMy9dQ5RLu8nWK995N1GmJN+/KDZLNHXyasvQV8PedpnO6Quszl+h9+C4Gq4byhYzyrZRovYsH3OVrlJxn9OgSDIbTbiZKixBXis6ffIy8oqjdKIj/2ZP4ThdVSlDNBoc/3eb6x5rUrseUt14P3Qzm52VL9OaG+MgMDI4II6x609FfCyntOcKL69itbbKfeBg8RH1H994FAMZzmqjvqWwW2EgT9go+95t/6U17vfmeLu+niQZv6Dpm9ZbXTDS9y+rNFE4HPh8J6Z20+q29nVFXKqGMllDdWHLbgpUl3O6epLFPfv5go85nGa7TE4AliFF8dw8915RtuXEqYqpSkk5Ss0bQH+HLMfrSNdyEhuxdIflv3T5qNEYdWkFPfFWuHAkv6uJ19KkjFIcXBAnQG6BaTfz2LsGRNVxusWst9KiG0xrdG+LWFjCLc9hvvAB3nSI8fw13dBl93134518Wr5W1AtN88oXfLUkMM9egePkS9gcfYLQQUn/2AvroIaJ2ijea/TMlajdEjLTPlGW92wDeE/WFqZR+5EGGSwEm8+SVKlG3INkYkC5VKKohOrXoXNbCs3rA4hNt9MYexfFlylc6qNwKNHPyO3NJSNi3RJ2CvBbQuJiR1UN04ckaAWbsCHs50R7YcoBOLXkjolAhOndkrYTxfEDUc4yPGZrPd8hPrZJXAzonw6kPKxiJwTzqefqHAnbPBpi8Qrzv0eu77H34OON5xWihRXnTkdU0lRvyOzXzcyRbI4qyof6167ilJuqVq6iFeXy7Q3DqBJVfexbdaorZuVYF65j78g1cqwZaky5V6B0JCYeeYOxpXhzjAg0+xsaTkZ0GnUFpS1Hadiw+NaR3vMzhT+3Azj7x+gLZcpVwX8QZg5TR+89iRgXRepf0xDxhO2X9j55i5X/+Gmp5ifTMGtHTY8LdgQQLnzqE2e1LuHIcS6f12haNJ7fh0CrVSx1KmzHkOdFWXzY5VxchXsO/cpW5T25Coy5vUCaCPPv+cyTP38CknvrlMcH+EIt0OHs/co7mb72KbneIOk26xxRH/l9fm4beB6sr07HyATajtAPxfk5RMuzcG9J6xVK5uE9+xwphpUz1lX1Gx5sMlg3JvoQS16/fZkrVzu/x6y/81Tf+IjOrWb3Daiaa3oX1pgmnyWhgGvkw8TWBlY6R97hOF92oi7cHwMm2nSoKYSlNjON2awcVBvKuOAqFqeS9XE9RCBG8lODjSOJSOgN8rYRPQrzWqBOHCToDfKuO/ebLMhbJMjTgr99CL7Tw9Qp6mEGjjr+1IccXKIq5Cn6xSrjZQ508gl/fxt9cl/ty53F8bHCmgr66gTu2Ivd3fQuXpgKXXK0ShXejL0tGXnH9Fv799xG+clNoy53u7Y27LJdR4Oe+Qe3Re9FH1sB78pr4ghY++RLFuePotKD1fIYth4znI0zuifeLCQRzjLJlgmGB6WXYekz/jjqVV3sUzYRwbwgLFUaLEUWiGByrMX6gQTDyRP2YsFswXogor49JF8tk9YCirBisBix8o0e6XCLo5QzXYsKBw4eavB5hxmJ87h+NCIYOYkMwVPhQYVJP+eUdODWPrceMlmJ6hzWlHU84dOQVTVZTeKUYzcvzpXrLk1cVJoebf+gE4QCcBluH8pan+pmX6Hz8LM07juP39nGhbPpt/4GjJPuO2kaNYqXJ1o8fYuV/e5rhx+7HGag/s0nvvqOU10esf18V5WHlKz0ZF21bbKQobWfs31li/ps9ylsBpe2M/uGYrKqJu46sqqncGuMig40V7fcsEO83GS2FjOYVrZc0pUsjXKNC/JvPyt9Cs07whWvo5UXWPpejFuZJz6wRP3cFSgnpYpUIGBwqoVdKVL6wB0dXcUoJNyyK2PjRo9RuFOjMs3/XYRZ+6TxqdQk1SFHb+/gjaxAa3MWr085BsNCCzz6FNYbmN8rQ7UEQyFZipUTj+T3s8RW2Hq5SJLD0zO0NUBWE+OGI7OFThF8SwKd3nqwKRTWgtxaw9uUhweUNNn/sJJUty3hhkdozG9hIoSbvDJyRD5SitD6cCaY3u/zk441ex6ze8pptz72L600b1b2GDK6rVfxo9Lr/9taiG/Upd0lNWDGqUkJVK6AU9uaGXEcYoFvivWE0FiFWSiCOxYOUxJBm+DTDH1uTDlCzgiocPtCoXIjZbO/J+vXuHgfxE6pWhUpZSOJpAZ0uxck1iVTRiqIaEu3IyFBvtSHPKbZ3BUTZH+Dee45wo0tx8VV0qYReW5ERorXYQ4vYakh0cZPi5jrB0UNyn7yTNfF+fxq3cgBY5O6TgHR6zCCjaCSEN/exrRquFOC1QqdWTPLWoc9fFqJ6HIMx2EPzqHGBjw16XJC3SoxbIeOWofnKiP7RhGTfMlw0Imq2cszIkrYiSrcGQhkPDOOFiGQ7lQ280BDtDskWywxWI3TuZYzlJNHeZALB1Jl4VrSV7kxe0QwXFIc+v4+txsJtKgdoKyGvAEVJU706YHCkQmkrpX8kkew9o9D5xPsVyDZfOLAUZYPKPaMl6WKZzJPc6JOuVCR3rx6S1jXBWLpq5fUxwd4Advaxd6zBUy+hqxW2/tDdwhy6WRD0ctqnSwQTE3vlVkrvaEzctphUsvOcUQwXzcTjpahfzsEIl0pZiLrSkat/Y53RnYsUZUP1UkcidALD6FiT0pOv4lfmcS9dwhw/yuiOebnMV66w+RMnaZ0fETx9AbWyRLFQY7Sa0D1qWPmbT4B3DH7yYWqfOY87exyz0yM9Nk86F8jfSqyoXh8T7AxwFy7j3ncP6kvPEpw6weYPLrP01X3UYMytH1ll9bM7EGjWP9yiSODoP7pGce2GeKDWVnBLTa79aJPDf/Xx6d+rjiI6/+oD2EjYVo2X+/TuqOA1lHYK8ophuGwobVtZCgjk+VEkmrid8/nP/MU353XlHVBv1/bchx/+L96U7bnffPK//Z45v32natZpehfXAcPpzRJPyhhspzMN8zXNpsAgh0PpOJVK4l0ap7Le3R/ICC0M5COKUHEE1TLu8jUA9HwL1+5Mr9/ttTEnjqKyDLXfhShCXbohI5nlBbzWUFjc4WUAjDG43T1sf4C8EVaovRR/aAnlqpjeCB8EuHpMtDXEhwaMkvHP5Vvo++7CPnseXS4TbvYoLgop2o1T3KtX4bF70c++gnEOtbIAUYh66Bxc3xQReeQodqEGT8q7eFUuQ7tN8dhZinJA+emr+GPL2GpMXg0Ie31YqKFyhz54v1JI+LFanBeI4XwLHwfo/hgcqKzA1WJ05iS2QymyZkgRy4nea9mQMyPL/pkScy8NpTuXW/J6TLKdojMrUMVSSO9UHa+VrORfG7F7X4Vg6NG5Z9zUlPYcwcgKUwooyiLKqhueze+bk4yxgZtkzxnCvmAIlIPRivC6ipKh/kqfrBVjS4asJscZ9ZwwpmpGcAh9R2lbTtSurNBLZeKdES4OiPYzVCGU8qhnCW7t0X1ojdJWleFKQtiSoOL61Yy8FhAMCmwpYOk3rrL5I8dI9h17ZxOinmfvbIDXULsuQinqecrrGTbW5DXpcGV16ZCFI40LwC7UKX3zBm51Xp43N/fxJ2TUOn7wBMkLNyWwenef7MFlGk+sQ1Gw9AvnUSuL2HGKv3QFdVlRm28R9o/R+9ceovnFq9R+6xX8ncdwcYBfbhDtDGifarH8uVvgPHapjrtwmeIH7iP44jOYhRbu5jqqWCafK2FeeIWF5+bwV67j7r+T+pWC8q8/Q5EX8iYiihg8eBidOo7+9SenOxM6DCgeO0vz6V2ylRrdExHZfIKNFI2LQ1TuKEolwoHH5B48slXZd8R7OZ//3PeOYHpba+ZpesfUDG45q9+7JiM6N3lBPkhdP4gS0dWqQC5LifCTwgCcn5q3gSm9mLIIJj3fEq5Tlk9Xqb21mGOHod0RgjhAYVHzc3L5gxFYt4dOc/QwFdr42VMyUvNeQnu1gss38BXpdOhUYJu2HgspfJCi92SrT2/vE5w5hRuNp3ldulwmWFuZbtapOAatGa9W8HEET5+HZh2XF9gr1yTuhANRKeIxfOoCPlBQr+G1Jq+FFCVN9wfuIG0lk+PPpINmNC4yEvp79BB+fZN8vjJdGe/c3yJtJWSNEB8oqlf6KI94kqoykhrPyTHkNYULJUfMViWeZbyUgHMUzYS8HhLvF4R9SzhwuMjQOj/CZJ5w4IQZlTrGLaGXj1shRaxRTk6eWQ2yuoi04aIhbstGVdh3VK+nRN2C+teuA2CrITr3VF/aJW5bwr5juGTIKrJll1cUZiwdLZuIiEsu7TBeKdO+s8RoOSbeGFB9fotou096cglvFMPVhO5xTft0yP6ZiK2HItonNTv3JfQPBVz+N48xWIOdezVFIrfTvGBZeL7ARpBXZI1+cCjCpI7OCU3WUFRvWhpXCuxkHJkul+i8/zjpQonxaoXeh8+we1+NvBbROxwyvvvQFF3Q+MIlfDXBdbri+7t8XcT/JMPRz8+RPHeNZKfALc7JVmiaE6530Jll670tln/tCsMzi+RHWmRzCXhHfKuD+7776H3/HWz8W+/BhdA7FpN/+AHCnT4oRbDRpvyZb6KbDYLFeYFkLi/gtSL8zFPTbdRgcR772Dl27y3hk4D2qZjWzz1JVjOyQXj+CqO1Ejr3JLsFKvfYkowzbahmgmlWs2LWafqeqDej43QQgvrar7GZ+IKMk42cThc91xRT+HA0jRFBaUxrTkZ3gUHXagCoShm7sysdq4PIlW5PNuJubeKLQsy4+x2UnoQAGyV+qG4fahXpnmQF+tQJ/MY2tt2eABQbsL2PW2mhsoLwVhvXKOOSkKJZQtUSdFpIR8ZagpPHhMTsPP7uO3C5JfAeu7WD7XSh06U0HKHmmqgoopivSsfpmZcwT7yEuvv0bZ7OAYDQekYn5gi7OVE7ZbRQIWlbbKJxSYge5xTViHCrT/+uOcygyuBYlfBwA4Birkw6F2LGnqJiMJmjtxrgjos/qnarIOzmtE8lNF5NyWsh8y+k0+w3lYtfKd7LSJcq6EKI5C7QuFhT2kopKgEuEkZTsldQJAobC2TTa4ULhH/UX9GgJbKkdlE6Uq3zQ7xWBL0UF4fsny0T9TzD5SN4o4i6lvKlNsV8FRspxi0jZOkKmLGMfIbLAeHAU780xHzzEu0fuwe8rLWDZvhYk6hXp3ojZbQsG4PDBU1501PezOkej4jbgJfx4nBVgRbSuQtBW9meG64YyrcABfG+Z+6lIaY7on1fi+UnUvpHIumeDXKKcsBoKSRazzBjiw014zlDMPKYDMYLgRjfhwXDD5xh92xA41VHkDpK5hRqMEblOfQH4t+zjnypyuieFpXrI4pGTJTOoUYZ/XOLDFYDgqHnxh8+zqHP7pGuVOkeC1luzXHzY0voHEq7jsblgsFygI0U8WYftddFNer4dgefZRR3rBFcvCkjcW1IfuUJeR4EobypiCKGyzHBUDYEWy8OyT98P40vXgJj2PmDdwvraq9gPB8QtycJAKnjy7/6n3/brx2z+hbKcxuh8kauY1Zveb3jRFOapjz22GM8++yzPP3007znPe/5Th/SO6besEF8EqlywE7yVijPZtJZ0nNN7O6+sI6sRc81cds7qFIJNwmydbc2xPztHD7PMctL0h0KAnQcSdTKfge1OI+agCOxTvxKeYHa2ZetvqJAKQXlkniWAg3H1gj6c/jtXTlea9E3t3FHlvFRAA6Cq1tkp1ZkHNbNcbWSjPA2t+HcKYgCzI0d3H4bV0y29N57H+GNfYorV6Hbk3ftl25BGFI8fDdeK9TXX7htmHee4MRR3MhiI43OClwS0ni5D0DWijHtEQSaomwojjVQVl7xyrdG9I6Xqb/URY8zbNJEp5bRUsxwwbD4qxcoTh9m7+4yZix8ocWv9nHlCK8TlHUU5YB4d0w2l2BLGlXI6CyvGAFiBgplPVk9FEhh5mhcEeq31/J/9Qs9XBSQNSOiTkbUkc5TeVNRuzIka0QE7RG9O5trlfILAABuHUlEQVQkWjGej5h7cYgPFIPDCZWbKcOViN3H5rGRPC42ZrplB1DedhPMgownN/6N+7ARlPY8ccdTJJKTl1U12w+UKOLX82yGyyE2gqTtGc9JrIsZS/6cLuT2nIa4LREyLhR2kwsVJi+T1Sq4kImQgPapkLAfEPVlLOWMIq8awRWEiFhpO9KGhBP3jyZEPUfrZUt/1ZBXNPOuClQpv7ILStP98fsobeUo6yhvpLjYMFiLMOOCwZEKtU+/gP7AWUbzhkOf3sHHoZDQj4Rs/tSdMgodegarmuYlGYlWb6Qysl2dR1/fnOYbFkmAWVkgW6gQPn4ekOBo1Wxgr9+guLlOXjlKadcyXAqovpoRvnxD/jaVonlhxHA1IatL50kVHq3gNz89E0xvdSnvBf77Bq9jVm99vePGc3/hL/wF1tbWvtOH8Y6tbzurzrvbWXRFPs21UsZAEAg/ab8NgG23ceNUyMtBgB+NUKUEN06lYxQEwmaycvZTUYiqlKFWhUoFalX8Xluoyd0+NGpiFDcGqmU4tIRaXZaOU15AlqNGmcSNVEuCFkgz3JFlaDWn5nFXiaBepajIe4WiVaGohRStCva+U6jCoYcZxdFF1B1HcQ+dRR9eI7yyja9Jxl5w6gS6Ucfu7FLcXMcMpKtkDq+hy2XMfEser/6A8JlX8aF4i2zJMDhaBg3aejr3tRgdrRO1M9JWQNTOyVolzM1dkt2CYi5hfKRJ2EkJ+hlZXSJQ2j94CluSfLje4Yju6Rq2fttAasYFJnVkcwnKe8xoojC8x6QiBkzmUIXHpG46EjMjS2k7p7Sdi2E6DkgXY/KaoX+sRNTJSHYz6i916R0vo61ncLKBCxV7ZxOKkpDG23eWyMuK9umE4ZIm7jgWn+yAh6VvDDEj2cI62Mpa+to+RaLoHUtoXM6JemBDCQyOup7hssJFk7sQihg69Jldmi/2mf/tW8y/mBL2Hauf3yEcQtYAF0HUFyO4TeT28oqIj7kLBStfG5NVFdVbluoNy+LTY4KRp3U+pbxZoHNHMumyeKMYrGrSOcW4pWifEhGlvMTSjOYNaV2jPOQ1yGqaItHkK3UIA0pbObYs+Ynh1W02Hkukg+Og/vQGG3/yXrpHAxoXR2x8aIF0ocTND9UZzSuGy0ggcawwKdhIYzLPYC2C3gD/3Cu4wRAVx6Qfvp9ou0/RLBG25e9t9AcfIXvgDnrvWSH9yIOACMb+WkDjckq2UKbY3pG/1TRluJrgQgiHTpYBrOeLn/zPvr3Xi1nN6l1a76hO06c+9Sk+/elP80/+yT/hU5/61Hf6cN6x9W11nA7IxJPyRY6KImEv9QcyrlNeMt0ANxjiRiMJK+0PcJ3ulLZd3FonWF4Ss3i3L0TlVhMmeXR2v4PSkmU3TW7f3UEFAX51QUJFawm6O5Jj0jK28cagslTM49UK/vwlskfPEu4NhfbdGVK0KoT9AlU4bBIQ7qfY6uTyjQTlINjt47Um2O5RLDdwkSF4/LyM7iKDmmtiggDKZbK5Eia1DM8uUX41hJ19lFaylVetEO2mjFerhP2CUuYw+0NGKyVsrOhXA1r7GeXNjKISEAwtvlkleeEGxcYW0coSZDl+ZZ7ytiXaS0UROKjeLCbCKaR7qkrtVeny2FLIcDUi7DtspAj7FmW9jJlKASYVMeCMZM2VX93H1cqY7ghlY4pyKP6lRkS8m1G5tT8ZixrGd81TLMe4UNE9OolWySDZc+QVRTiQLcW8qvAakj1PVtOk99ZZfLKNvrXD8rUJbiLLsDdu4YC53WUx5o8Lov0SLjGYfk7RiGg8vYerlkiXy0R7KWZ9F7u5jTm8ht9vE1/R5PcsATD/3IDlz3agKCgOzaPHOePlCspDtDtmvFKidL3PxgebxPvitWo/sEBRNuRVxd7dMa2XZNuueSHFRRobK+FPaTApZDURR2FPumdZC8K+0NpbLznxEfVy0laEKqq4UKEKz3ghwgzmOPoProhhNwxw65usfDFmcEeTvbNlKhuOzsmIrAnlDZi7aEl2MgZrMSbz7J8yNF91zH3lpkBhD/40VxZJbnTonZmjdrHL/r1NSotl6YYdjtCFp/pyB3XsyHTcmjZDqr/27HQipIyh8slvoM+coH1fi6jv+M3fmHWY3rbyvAlG8DflSGb1e9Q7RjRtbm7yZ/7Mn+Gf/tN/Srlc/k4fzju+ft/Cyb9+4O6thfyAB2OnxGIVBLheD5DIEkZjWamf4AhMo45pNKBUguEQVS6hyiXs1g5maQFKCaaUTDpRVtADN9dRUSRjhFdHqJUl1GhiFB+NpbuUWUx7IFynyOCrTdR8Q2jSc2WC/SFqnKPjnKIukSm6EM+Pzhy2ZNCpRzlPMV+V9fxAT7lJxWNnibb65K0K+qvPU3zwPuJrbbzRDA5FVG4MSdca6KUapruMf+6laQBx2M0ZHCkJP6gcEO/nDJYD5r85wAeKvGIoStL0DZ/ZgCAgOLImHbkwQI1zkq0xRTUk7OXktVA6VAsx9WsZZlDgEskJAyivZ+T1gHi/wIwK9CinaCZE7RQbG9L5iOqFtgAh1xrTkZ4PROw4AypUFOWA7K4l2TYM1ITb40n2HWE3Z7gc4wPxEqGgen2MLRlGCyHByFF98jpud19MyY0qNOv0zs5Te24T16qh66ena/xFPUGXHMFmB1cv4eKQ+PIug3NLVF7Zo/T8Pr5Ro/fIEaqvNuieblB7OWF0qI7OHGiNi42Qws+ekiidzpCgnhBd3yNfa1K+2sWHhtp1S+35HYZ3zjOa1zSf3CLZSNB7PXy9QnFvTNqSSBt5sosAtLEiQozwB4HATL4O+2KU9waUDSSAeT4mGFm8Fn+brYToThdOHpELbu3gKpIdF6RyZcm+I+4q5p7YYnRiju6JBGUhGDnmXyqoPHkN36zjXpksLTQbuHLE3r11lIfrH5tj7oLFxRqTOlRVE7ct7sJlhj/2INV1S+eEIRgriUSKE/ThVfzWDtljZxjPBzz+D/6Tb/11YVZvTs22594x9Y4QTd57/tSf+lP8uT/353j44Ye5cuXKt3S5NE1JJycuECbGrG7XG/U4HRDDQczPOhEq+DTcNwrxWS6Qy3IZHQbYvX3MfAu/3xY45eoy9up1zLEj+PbE8B1HMnZLYlRhIQwFnukdenFRui/NCmhQcw3UIIUkwpVC1NV11FwTHwTYqlw+3OpRtCqocoQPJibnQMk2nlGYr5+n+MB9FNUQVXhs2RB2c3ThCK/tYJeb6MzRu6tF7cVdiofvJuhl5Ct1oo0eaauFubqJu/MQXsHgZI1a76j4vK5ukp1epbw+ZrwQowvHeD6itOfonSxTvzQg7FmibkHwtRdR9RrEEb5ewYdGOiXOywiv50gbwnfKKyXqL7fxoSGbL2ETjRk7bGLwgcKMHEEvw2zt4ytllHWSqecnHKL5Cnk9wBmFN2rKatKZJ+4UZPWArCb5cllVk7Qd1asDVGrxsUHllrAeMlwwNL9yA7cp8FIGQ2rGoO8+BUlM8dhZXGyIb3SxzTLVSx0Yp+TH5gk7Y1ypQjqfSMbb49fITy4TnL9KsDhP7/5lKv/8aemG3HMaXnyV/MF5rn90jqO/vMHw9DxZ3VC5OaZzrkl5PZOfA9LFMqW9HkEvZXh2idK1LulylfjJi1SzZXCO8sU9bDQvYM2Fo+Qnl8gaAfG+p/7CLhsfWkQX0kUymfCsFp8asPG+CjaRAGN38AqqJh6qELyW7cDKhkN5Ec0HxvrR958laxiaT20z/OF7xTdV0RIbs5sRnb8unVtjiKsx6VydcOCIOjlmkGGPLKJHOaY1B3GM7/XJ5g/hDaR1gVG27zDEbTmWcOBFDD98N5WrPXYeagLQ+IdflwxJa8VnuLbCYDXk6z/7H3/brwezmtX3Qn1HRdNf/It/kb/21/7av/RnXnzxRT796U/T6/X4S3/p95dz9DM/8zP8lb/yV97IIb7r69se1cE0DHSaCTcaERw7gu8PZO263RGDd7MhKAKQLbpOD4yeGMI95shhCfg9dhjyHHp9gVwaA3GESmJUEkvnxRgYjdHXN3GHl0A7VF8wA7qw0JoD51CXrmGOreEqsXSONARbfYlkCScwxlpMeG0bf+YkYTcVrlGzRNjJcLHBhhp/bIFovUu+XCPZSfFaY165hh+MCI8eYnRijvozm/jFOcKtHn5zh2A0Jn/kLtJWRLKVks1FFCVF43yH3qk6wdChnCfZlZX/+PIO+eE53P13kpcCskZA1CkYroTULw1I5xMqN8ZkzYh4v6CoGEo3+4yO1sF6dOFRxeRdpvfoTFbFbVIi0ZDOJ2J+Tj1eg431NJctq2hM7gkH8k5XYJZKuixewJQLT3cYHqlKSO8TYnh3zhM97UiiCI4dAaNRrSbaOUFJgPi69hPylni5zI0diCN2f+g41RsZRT0murxNdvIQo5YmeOAI5Sev4J1n48NLLH95j+KxcwyXY5LdnNFP3k/jQp9kN2HjD6yw8PSA8oUee+9dpntcUbuYo9Kc/p1zOKMIjswTPHOR8k4Tt9gkrxn0fSfoH01o/uNv4B46S/WlfVynS1EL8QpqX75EdN8xbn50cUo7DwaW0tNXyO4+yuajFfl+39FfE+SCjRV60vi0IdSvFQyWRZwXiSbsCJk+KKRb2zusaX5xQDBsMp4LUc4T9RxZI6T78VMsfHmT0ckWg7WQsD+hgrdHqFFGvtrAXNmguOMQwUYbe+4Ew+WQ0o4lbQS4GEqbgqOwsSIYiuht31GhvOlY+sx16A8ZfuwhSl9+Bb0wT/ehVUYtzVN/+z/6tl9HZvUGywHqTbiOWb3l9R0lgm9vb7O7u/sv/ZmTJ0/yh//wH+ZXf/VXZVtqUtZajDH8iT/xJ/jZn/3Z3/Wyv1un6ciRIzNi6v+f+n2Jp9d6nJRGhwEEAW40nqIJdL2K6/ZldBeF0j3yXnhOQSCYgTCUEU6zDmE4zdqilOB7ffzEpGpOHBPPU6MOzuE2tiSiJL+dh8U4hXIJd3MdfXgNV5UxnLIWHxoxeg9SiVUJFEFnLJTu7T5+cwd/8hB5I8GkFm8UeT2cBusC4nGavw3M1J0BOIvv9MjvP0nw5Mv4NKX/U4+Q7OWYzz+NTmKGf+BeyjcG6N6Y3j0L2EhRuzwQEVEpi6gLNUU5IBgWZM1w0k3Swk7aHIOC4WpC5doQlxgGhxJqV4aSRZe56WjuACHgjHRHbKRwkcKMZYQmXiaFjcArGccpB3HHEfYtJnWCJhjmdE9VycsKk0HctZS/fEF+3XGMW1sgnU+IdyWKxAwysvky8Y22/A6TGAYjspNLDA4nxPsFyeYQ3RtjG2V8ZOieLIGX6463U/FcjQq6d5RxIaRNhSqgKEO8D81XU9qnYirrBfF+TtYIsZGaZPRphouauVcyuscjlr66R/ueJmlTs/D0AJcYomt75IfmGK7EhH1LsjVCb+zhdvZY/3MPsvj0CLSieywmayjCnqd/RFHekHFc3J2Y6YH2SU3tpmztmbGM6GrXHS6E0by8QYg7gkXwRhH2C0ZLMcHAMloKqF8eS1dQK8bzAS6A+U9dwB1dQV26Qf/DZ9CFJ9rPhMXUGUscT6vMaDGi8cRNCEPsfJX+0TL1F/cZnGxQPb8DWcatP3hUNglTT9QXsdz46nV8u4O99w6CV9fJT6+Rzsc4A1/+xf/023vReJfX20UE/6F7/gKBid/QdRU25XPP//XZ+e0trndEjMq1a9deN1q7desWH/3oR/nFX/xFHnvsMQ4fPvwtXc/3WozKt1Pf1rjuNcBLlJ56mLy16HIZN5QNHwA/Gk8gmHKWV3EsxuD+QARRluHbXdTqEgxH2NUWKrcSe5LIdbjrt9CL8yKskhA1TPE7EquilhbwWzuo1hw+EVOKm4zllJXtOJXLWNE2SthSQLg3wocG3R7gqiVcKQStML0xPtAUtZhgkJPOJ2jrhZpcEd9KcnEb16oyXiqT/OY3ZUvw1BF4+jwqikh/4BwmdYS7A2wtmWa82VhTVAzl6yKChisJpe2M4Uok22uBmLh14Qn6OeOlmPGcYeFz1yiOLEg0SWbJGzFeT7xIkZysbagIUofO5GSZNo2Ii3ziV5q6f0UMRF1H7ZtbE1aWhngicMOA0fE5wq5sJqrCY4aZdPLGObZVwRtNcHULgPTsGvGlHcanF4k3BwyP1ai8tIuPDEWrgtdKNr8QlEDnuKF1oSDaSwmu77D1sWO4EJa/tMf+/XPkJUV5xzJqGcKho31aU7/iaVwcsX+mRNZQVNYdyW7B+vdFmDE0LzmibsFgJcQFsPjpq4zOraE87J2NaF4qKL+8w/h4C104Bmsxzad3cfWE9pkKraf3yedKRC9cY/jISUZL0ox3BoYrYgqfezkXgnkI4zmNC6F6y9E/pKneEFhmecuLOI3BRjD3ioj7sGcZrkbkZUXjUopJLS7UuEgTdjPSuZhkfUAxlxB0U3yghep+eRe/u09x7wnCm/sUyw10WqAHKX5jGz8aybhcadT9ZxgcrVD59efY+NMPULtuyeqavKxY/DtfY/wjD8nfogLlmW3I/UvqbRNN5/6zN0c0vfDfzc5vb3G9IzxNR48efd3X1WoVgDvuuONbFkyz+tbqjfic3KRLpKNIKMRxjPdORBLgx+ltQZVlqFYThiP89q74oNIMtdCSzbeNbVSjhu6OIdC4xQZ6c1824+48DrmF/lBYTs6hKmXczi5KabndOBBx5Dzae3wS4Y3CVmIhhGuNKmTlPm+VMMOcfK0pJ6I0J10so4oQPZYV9KIS4o0irRrKt8aUtjvYZonRnYtEnYx4Z8zwY/cTDCzJKxukH3gPwSDDRZN19IUKQWdMnFlGq2V0JqGxHC5jYxGQRckQDhw69wxWAtJGSDD2NNopyVZKMAwZ3iMCAECVAgFZehFCJiuEC1Uo8pJGB57hgkF5OUF6LSZuF0q+mbKeuWf2ceUI16ygN/exK03SxQSdy2gu3hrgQ0Ow2QNrYThi+OhJys+vC+m8HmHPrBEMc8KdEW6uQnKtDUpRJJpiocr+2TILX98Drallls7pMmbfEnc1+6cD1j7fY/NHjzH30pi9swnXP9aa3sfxopl0wyZspDVFXi6TNsEHkDY0vcMR9Sue9mnFzn0aZSOO/fMug6MVNn/0OIM1MGN5jPZPBcACwwXDwqcu0j1+CnfhMubQCqWFhHSlis4cOz92J8MVhTdQJJLRZjJ5HIdLAuR0gaK05+ge03SPaUwqUM6F8zKeE0HqyaqSvRf2cnTuCIYBJlXowmFjI13NqkG5kPI3b+JbdYJuiktCsrmI0pdexo1T7KNnCc9fw/UH6Bu3BOcxIZIDqChi8NH7yGqa+ce3oFYlGImwK+055n7hWTb+3cdoXswZLgU88X/M/EuzmtXvt94RomlWb29928Jp0nGa0sOtkzgUpWQL7AAhAMJS6siWHcagG3XxM6UivFS9Kpctl8A5dD/HzzdQg7FcxjrpPBUCuiQKZVvvYPQ3+RlXlyw0b9QEIOnwUYAaiziiEgpSILdoZMvJxSFhv8CWQ9JWQryfErbH6CzCBzEuMehRIGv6uZuKjGg/w5YCBvevoTNPQUTlmZtibAeKpTp6nDNcMix+bh2TLaIK2VxLNgYMjtcIho6iYog7Dl1IHpxpD7CtCi5QmNyJeVurabcODy6Q+BQXCEogrStQggNwgZz8w74jr2p0IZEp1UsTxEMS0D+SkCyW8KHCK4j3UrBeMteUwlcSEUJHFyQip1kjXYypfP2KnLznG4wOVUm2RvhAMz5Up7SV0T9WYuGJfWwtIV2I6a/KKGo8F4qY07D+wTmyOqSPJiJMDBQliDrCc1IFFBUIBjKqc4F8rZz8nIuhfVp8RbqYXOcP1Jl/IWPxSo9FB3qYsvfYEsNFxf7pAGVh9J5jNF8eylbZF18hL2miXNpwzZeHlHZjds8GmElHxiagswNaOaAgLWl0KoLKxsJUat8RYMZQu1GgM095EnibV0PcBPQZ7+X0D8cTn5kiHAk7C+fI50oEvZRgb0Cw2YEoxJ05Snh1G+IIPdcQGKsx+OFw6jG0D9/FcNGw/Jmb8nc4P4dXMF5QLHx9n/0/9ADBEPprId/4OzP/0ndVfQe2537mZ36GX/qlX+Kll16iVCrxfd/3ffy1v/bXOHPmzBs7jnd5vePglgDHjx/Hez+jgb+F9Rn3f33rIMzX4giUlo2cvJhu1/lCRhPKmAnzR+N7/YmwsqhGDdJUBNDBH34YitDqDcCBjyYZdqUINc4FLZDIz1BK5N9KST6MRqWT28zkXx8YXGjwRgvhuSbbdvKf0m3yWjLgbCkguLUPTjaPVOGw5QjTH6MKT7g3QlmLrQuNvHSlQzoXkLYivJLV86KkJQz2xBLFYh07X5UtuMUy8890cQsN8mpA0B6hc0/7XIOwZ+X6NkYUJUXYzYl3RmRrDVwcyAp5LhtZ2nq8kpGcC5V8BLIJ57Wc5HUuAEY16USlTY0NId4rqD27Se90g96ZOWFEjRzxfkowtMR7GS7U6FE6Df7NFiryGAxzSl96CVeJRLjVRaiO1qqUvvIKw8MV0Jq8ahgtRtReHWCrMVuPVOgdDkjnZKvLpBJnYlLxA7lQ4JU2gbgDya6Io7UvDCjKIp50MRFFkxGjssJMAqhdle8tfLNAFbD89SE790TovR43Ptbk1X99mcp6xuG//wqHfuFV1n7pClE7Jbh4k7BvcZ0u1V9+gvi3X2C0FOEDReWJK6x8fczSUzkugKgtj2vc9VTWc7KqIu46kn15zpZ2PVlduks2hv7K7fekZiRcrbBn0dYTdsYku/LcLO1kDBcMOrN03n+cvB5S1GJBepQi8TmlFl8r41bn5U3IpFsLoColVBiwf2eJ+ReG+EqMvXFLMgvnhMC++8g8LhDM10wwfRfWgWh6ox+/j/rCF77AJz7xCR5//HE+85nPkOc5H/nIRxgMBm/RnXx31DvC0/Rm1czT9O3VG9mu07EEj6ooAmMki0tr2YID6RIBRBEYDYXFD4ao+bnJdSkxdh87LF0P72ESOaKcwzZK6JEQwfFeoH+jseAESgk+DsQEnhW4aoIL9W1PjxOPjksCsqb4CYSWPYEUtsd4pcgWy0R7I/JGgk00ecVQf6UjxwO4yJA1Inwo5u3mb18jO7VCtCFr9rYUEHRT8rmE4VKILiDqWoqyxkZKxMBEDEX7GTYRCGXWCAkGFhdpgkE+fTxsbHChmgg6j40FwugCiRIJUo8LRES4QLpNWU3ud/3yiMGhBG8Az3QMV9pM6R1LSNp26oU6eJxsoilf6wl+YLEsmXoLEUHqCDsycrJJwN7dMQvPDgmvbIPRFIfm6Z4s0TusiLrSFSrKEA7E5+MigTgOVyDqTvh+gYzSVj+3g9rdh7kG5AVbP7jG/N97gqv/j0cIBlDa9vSOK3QGteueuG3ZfiDgxP95i2v/6horXxthvvwc+3/yUebO9yUaZ2cXVS4L6mKhxeD+NUrX+vDixdctNuiFedziHEUzYfdcgi7kcbSxHH/zosPGiryiiDuerCZgz7wsBvtgdDuyZe5CQREr4v0Cm2jCfkFRDuicCGm8mk1wD/L34rV0BE3mMWPJCTSDgmBLMA3kuYjUdhc3HIJSApONY/Lji4wXYmpfeRW7u8fOTz+GD6RLp7x4yLxmhhT4fdbb5mk6+5+8OZ6mF/+Hb/tYt7e3WVpa4gtf+AIf+MAH3tCxvJtrNp6b1e9Z3/K47uDE85qtOpdl4nEajdClkpx9lBd/jNb4okAlE2O40pAEEnaqlJwkSgm6NYdXCluNMYNJXEpo8IEYaFVuIQllMy+zUzSBL0VyO4CrJmIoR05OKIUPNbYSoXKBNarCUdQixssJ1cs9XBLQP1Yh3i/I5xJU7oh3M5ItGVul84mIq35OvC95YCXAHppHZ1aM5olshOWNhLQRkOxZ+ocCwr50gaQz5CkSgwtgsFQmSD3VG44i0dMcsOGK+MJM5qZ+H68VeV2LCTxQ0+/bCIlLKeQE7I10RPAeWxJTddqYeG76Dme84BHadhJholFWBEyyW1C+0sPHBpdo4ks70ilULeFZ7Q5I1+rsnYmo3rKMF2Lap4+CgtbPPclc5wT91QVWf/0W7UdXqNxMufX9JVa/MmbrIQE3osQ3lOzB8j+9wO5HT+FeuYRZmMdv7uBOHWHh556k/5MPsfSNgr27AoariqgNh3/+InZ3H4DDe+fwWzsc/hu3KN57Dl0uM/+NfYnQ2d2X54VWqCTG9weUPvtN7ENnCM6cpHumSe1XnpKty/VN9n/o+HQMl1dk/BZ1IRxKFEleVmQ1ABm9FYmaPtalPUtR0vTqwgILB16YYtaze0+J+pV8ImIUZiwes7yiifftRJRrkp3JFqkCu1BDjxJUpw95Tu8Dp6h97Zq80QBGZ5aI9seMW5pKu4NZWkRbT9T2jOc0cdvxlV+YASu/q+tNRA78Th5hHMfE8e8tyDqdDgCtVusNHsi7u96R47lZvf31LY3rfgc1/EBAuVQwBG6cCtV7AlrEWlQYio/pQCRZJxl0WSYnhbGsr6vdfYL9IQCqKNCTsVswEFO3rSX4IJDrNUbiTlIRX3pjD3N9Gx9ovNHoTAziqpCgWB8ZdC6jsdFSSPnmiHSxjC2F1F/uEPYydOYIBjlFJcIdjAoPNgAduFBjqzG2ElFMhBgOgl6KHuWCOEg9RVk6PlldNtqUA5SccOOuI+46gpHHRppkPyfqWWwk8EkXQtowjFrykVX1RHTISC6rKeKOmNujvkdZTzDy0gmanJhHiyFFIqTzcCCoAm0R1EDqKEoabxSVW2PifelyDU7U2L+7yt65Cnvfv4aPQmzZ0F8J2H14ntFCgE0Eqjie0yw8uY9XitGPPog9f5FD/+PXuPnja+Rlxa33l4jbsPFYwuKzKaNl8QkpD+N5uS9x13HrP3oMt9+m/+EzpMsl/H1nqL+wS/dYwNH/81VWvzzm8K+sY3f30ZUyxQfvI7y+S/reu+R58eTL3Pwz96L2e1BY9v/IA+z8sfcAcOOnz6IW59HHDhNeuIXKCsobY/Rck+LyNfTRQ7Se3GXpH58nGHuCkfCX8iqMFkSURj1P1IWsKt06POQVRWXdMlwwmLFD59A7GuIDRdoM2XhfhHLQPh1KhtyqGPmTnYza5RFRN6dyuUf1+hgzzNGpjPT85PldrM0zvHeN2hM3pEObprjNLeLffBbTGRFM7H4bf/DkxPcGtev5TDC9A+ogsPeNfgAcOXKERqMx/fiZn/mZ3/P2nXP8h//hf8j73/9+7rnnnrf67r6ja9ZpmtXvq75dk7jLMuE5TSjEeDc1hRMYGT9MolWoVcXT5Jz8X2Dwi3PyTuo102QzSKdGZWUdyjlcJZF39RNRpQqHb9YlvHZjH7fYxIXirdKjDBeH8m6+HKLTgtJWTroQY8aOomRAlXChJtoZylhRgw80NtCE/XwqmHTupImGIuyMRcgoRbpQIuzmBH2JP0kXQ6KujHdMLifceL+gKOupeAqGlrxiMKmMCW2sKG8VZHXpRmkrJ+4ilBERfjKCGXrShnSe8op4fkzm8Uq6UN4ooo4VQbZboFNL/2iCDSFIoXIzpX55JOgC78nqhsZzO3TuXaB+OWW8ENE9qlEPzJPVFEUirKfyDhz6TJuiERN87UV2/vgDNC+OMV96FvXg3fhnXmThuZT9u2KO/s/PoZoN2t9/hOhrL3PsuYQr//adcqwjuPnHTlHaEa+Tnm9RvjXCdEZsvX8Rk1cpSuD7A8yXnoVjR/DWMvjgGSq/+SLrf/JeVn/9FtZafF6w9reexinpLM3/VoZbaOC6fY58chM7V0b3UuyJVUxvhBnm+HGKOXcam0gHp/0TZ4m6nv5hJdBPIz6xtKGwJQiGMorL6opk14NS7J01lDc9ykFpR0ZiOnX4kmb1yxm2pCliTV6VjL6d+xLijowXAWINQSfF1mOJ8fGeoCejZ90dEWx3hVPW6Ul3doIZ8Dc3MPcssPFnH8akUN0oZiiB79G6fv3668Zz30qX6ROf+ATPP/88X/rSl97KQ3tX1MzTNKtvu14nnn4H7BL4F7+elKnXpLM0wQ+IGNHgHH6cosql6cYdQYCPQlRhp2Zwuayc2P2ENC4rTkpGdIXDJQEqtSjnZIyXhNJhQkQPSKfIDMTT5CIx4haVCDQSk9KIsbEm3pGV7qIW4ozAIuP9nGBnQLZSQ3npDB2Mx+LNAflcCZ1a9CgXw7kCWw5wgaa/FpDsu0m+nQgbXQjJ2ysm3QUlmW8T03NeEYp3MPK4ULxLXiGk7deAK/WEDH4grPTBiE6L30bI3+AiRRFDadeS1Q3JvpXx4/YQvd3BLc8xOFrBGYVynuGyoZi89nojYsGb20LCK/HwhH1Y+NuPv67r6D74IADRjX12v29FOmq7KevvL8t1aDj6ax3Wf6BBMBKadf1qJkHDowLTHnLtJ5c4+o+ukZ5epn8oovkPvg5A548+SutLN6QrqRWuEqO7I3bev0ztRkb84i1u/NETHPq7L8CRFdRuR7YyjYaqmNZRivGxOYJBzt7dFeaf72Oub5PfsUL7dEJWV1RvOEaLmqwmjylOpimqgGACt7SReJlKOxD2pXOoC89g2WBjRf2KdByj/Yz+kUTM+pnHJprSdk7Qy9FpLmiNopA3D+2ujLAXWmSHmgT9jP6JGvXfuiBxK/efhqdewr33HJuPlEVw5p6v/vysu/Rm1Nvlafrh0//Rm+Jp+uyF//fv+1j//J//83zyk5/ki1/8IidOnHhDx/C9ULNO06y+7Xpd12kSqfI7PU3Tr18jqmy3h6lWQAdi2GYyrlMKVZmEMQdGTm5wmwSvFCotZGvOWpT1+PhAoIlY8IGejuFU4HHKiKDy4GIZ301FCUhe3bgg6KXYRolgmOO1EsFVeMarhsrFIa4S40xEMLK4QhhP7fe0qL86JK9H4o8yEqzqQ0PQS2U8aG6bxVXhsVVN1BPh47V0moqSxqSetKGIuhYz9vhQTVEC4cCRV8QwnlVltKYLTzAW4ndeUcRtR95S6L4Io2JC8rYh5E25fpOLQAHxEIUDz2jeUN6xuEARDQTH0H7/ESGB55CX1cShLR4nPKAmW2teRFJegaM/ewF3aJHxcoXdP/NeGVkpWPzUZfxOn80fWCB77yqLz+Qkj7/CtU+cm8IV65c96z/QoChD7YZj7y5N/1BMeVNM4iaVDpNbaLB7dmLYbzaxnS6Nf/R1bv07j7Hyd59GzzXhyg1skbNgNLYhuInVL/dFiA9T6V5qhTu8hN7pkB9dIPjmZfRag2B/yMLPv4Ibp/h77mTz4RIouY/dY5qoK2Ix7njGLUUwlMewv6ZI9gSDEO/L7yYcyvNxsGQoEkV5a2IyT+Xf8lY+DWoub2aY0UTgh4bu+45Rf2aT3r1L1L7Sx49yeu9Zpv6NdSgKapdu0P7YWarXRuinXqb/kw/RPaInETjMBNM7sdykXfxGr+P3Ud57/r1/79/jl3/5l/mt3/qtmWD6Fmsmmmb1hup3FU4Hn/9O8fSasv0Bpl7D42SjbiKapv86j+t00Qst2YZLYtRYOgQqt1Mz+EFEitzORFw5UEgnB0APUlwlxoYSW6GsdACUlfEXsVyP6Y2wtRJFJUSVA4JeRv1Vy+C0bPJF+5l0rSaCZu7pXVwlRjlP0C9wofiBslZCtDPEBwHKOYpaSLQ7on+8OqF8a6GCRxqTOexIU5QNJpWRWCmV8U5W0+QlxXDJ0Lic0z8UoLxAFXUh/4J0mopEEfb9dCXfZLLNdbCaH6QwnlNEvcn6/kQQBWPPuGlAgRlpiiQm3i9ofv4KrtPF33eGzffWJh2xCehxEmKrc9ko0wXc+iOnccHEKG3E34OCrR89STCWMVWyC9v3h5iz58DBkf/+Cez772W8ELH2985L0HIlpntkAVsWD1HtmmewIlElu/fXWfnfn+HGn38PxenDmBevcPPfPMehn3sRTh+ne6pO3FnDK8XOiYjlX3pZ4nuefAGaTYpjy/C1a+gowlaO4KJ5gmcvYe85yfYDCat/+0XcOEUZw+V/rSU4hJp0kcwY5l8YsnN/eRKuK+LIG0VlU+JUsqbcx2A06RymjrKbdCGtB63keRIbOidiigSq646ibMBBOMiw9Zjqp57DWUdNa+xem40//wirX+zg1jfhrpPsfuQo88/2GBytkDxyF/1Vjcnhmf/PDCUwq2+9PvGJT/DzP//zfPKTn6RWq7GxsQFAo9GgVCp9h4/uu7dmRvBZveF6nUn8tZ2l147lDj7/HR0nFQT4LJd3SRNz+EHXSLfmYDDC7bdhOBLxNBpDXkxAlUj3qRDTNYXgAtBI80rrqYkW7wm6Y4JhjnIeF2lsEkjnxIGPQ3wUoHOLSWWMlzVjwp2BjMfKkw6WUkTtTLLi5spkcwlFyUyjTHygCAYFRS0mXalMR4HZfInKzRFmbAm7uYz5QoVNDMp6ok4hwmLfTmNPvJJMODMZ4YQDj5sIQTcBJh50kEwm34v6DmUFZCkjrsn6eyhjPl2I0DHZ7W6I8rL9NVwJ2T8TEn/pPDQb6EYdWw5Y+4cvT6niysm/wQh5nCdRLMoBXq578W89zuH/6ypLT43xBkbzEicyWoCjP38VZeHQbw3QdWFXVX/1KXZ+6m6u/aFDDE80seXJ2GsI45YIpsP/3ddovJpy4xPvYempjI33VvDjlJW/8Ti3/o2zcG2doiy/n/hml6V//ALtHz4NYYB/9B6oVencWSZYWwEg2B+S10NhiClF1PH4vEBphbr/DCaFyk1P9QYkO4JJ6NxRokhguKwYLotPbLikSJsyZi2vy1PSJvJcsCV9Ow5n8nzNK4EI5MwLXiFzBH1LfP46vHKZ4OkLFA+fQR9Zo1io4t57jkP/+DJFPQaj2X60ickQCGZFs/2eMuHAzwTTO72+A5ymv/W3/hadTocPfehDrK6uTj9+4Rd+4S26k++OmnmaZvWm1r9gEn9t5+l3fj4xg+taDRUG4i+B6Qbc1LtkLb7Xx41TdKWMWmhNAH/6NrvJGLwSH5CfGLZxgFHSmZpc9xSSadQ05NaWApJbPYpmCbz4aLK5hGBYYHpj0pUq0e6I8WqFsJNNVsULipoAHr2C5FYPNc5xjTJ5Mybo5xTlEF0cACk93ogPS1lBG2T1AGU92kIwKLCxwYwKikogAieTy9nYMFgJSNqO8ZyWk+bB46TEc2RSiUyR7Tsn7KZINu50DsFY2E3ChRLD+DReZeIrOsAMqALq1wqGi4a0+fo9aD8RSiCXNdltGnYwFF+TsvJ/K1/pcOsDDdAy4hIquadxcUj/WIlxU46hfiUnrxrqT97k6p84QtiTnwUReyCiJavD4f/+CXS9ysYfO0tehoXnc6J2xs0PVmhclvX9uX/2Ij5N0eUyNOsMzi4SDCzh4+clYidN8edOMTxSlk6j97TvMBz+n54Co9FLi7j5GuOVMhuPCt3bRVC5AaMloWaY9GAcB+mcPC7xLtSvWZQHM3b4QJFVZTQa9i1ZIyAvKyobBSa1RC/ekOe51hCF2MU6ZmNfliKMoTi2xNbDFYIRLH32JuNTi8RPXmT4A3fSPSpRLk/87zPu0ltZb5un6eS/T6DfoKfJpXz21f9pdn57i2s2npvVm1oHHaffObJTxuAPZu4T8XTwPdvpYiplCe8NRAT5NJWvswyCADU/h8lyio0tjLWo+Tl8WELtdfGtOlh5N+8DAWf60Ez7qC4OBAGgmfiInIgoozEHnac4nAgpjQsNZjwhiWtNcr3D8HiT0qtt8sUKAEUtko7ByGFyR75QQadipg7bqXS9EvnzspVAwm7HxSScNZSf64uXKN4dT0eSIqyEIG1LAWnTULmV0npmwOhIldKuJWrn9I8kZDUtiAGkExaOJHbF68kW3ki6ES4QYWBSEYtCD+e2+JkIFDzUrluqn3+J7T907vb3FVOeUjCYYLbiyWNZCAFbOU/jl54B79j66YdZ/NuP0/0jjxIOxNidVxWlXc/cE1tc+6nl6Yjw0C9fA+sY/IFjMBwRdUSUeCWE7fnPXObKv3USl8GRv/E04x9+D0VZk1cgbkPyuWfRtRor5eP0D0XMf2UTe+oIpj/GXb4Oh5epfPUStt1m719/lIVPXUQZg9VI/tzTPTp3VYn6MPj4/ZRvDPGjFP/sy5Q3FqkvHGM8p2i9ZMkrmtK2CFEz9oytorLhKG8yZTUFQ0dRFiK8tiJWlfUUZdl8DMaCGmhczBk8epzStT56vysdMaNxCw3GSyWSjYF04W45yutjug+uEKSenZ86i43UrLP0bqvvQIzKrL69mommWb0lNRVP5o8A4K1Fl0r4LJuKJ/8a46IdDDFBgNLSXVJBgNvdQ89PukqZ8JiCE0ehPxAh1RtAvSojuUxM12qcQb0M+cTrpOWk5UM9QRPIdp3SCp0J0FIrhQ80QTelqMfS/cksNglwcwnRizuUAo1tliSGJVBEe2OKUlkCbZVCj6X9Y2uSlYdRIqKcI9hJGR1ryNp4cdvwqVPZYy8qEbZsiDclt01Zfft2+g4XaHRsCAaWtBWSNUPivYKwr6i8KmTywbGaUKqrmtJ2IX4uJXBKbxTj+YmAi4TnZDKELTTx3WsnG3dRu2DnX72bvMoUZYA7wBeIWEr2PKqQkZtysu2XVTUqDNj64/ehc1APnaPxQhv7/CvSTTx9gvUfXqD/E8uoQjpac8/nbPzoURb/zhO0fn4HDq+x/HiX9e+vM39eNs3Wf+ok889bkt2M9X/7AWo3hJQd78Pi33+a/o8/SJEoWl9dp39oFbo9zGDI4OGjlI3AQ7sfOk396Q0Wfu0CvfffwXDZSE5cJHycwYpi8ZmMrG7Qr96g/bG7qJ2/iK9XsYkCDaOWobxdMG4FghdATOvByIk3LZduX141aOuJ93OKxGBLmtLmGNMZ4UND51yTxsUR4UaXoB3ikojsxBLhN14hKBah1yc53wfnST98L2ld4cIEGypsIniD5/7HmWCa1ay+UzUbz83qLa+PhH9U2ExKi2ckinDj9PU/9JrxnY4idKspY4txKuvhQTDFDBBHoDXu2g300cP47V1BFZw6KrErL72KOndarnfiKXITs7gPJyOyQra71IGXyk1iWcqhdJpSO/ENeYLu5Fhzi6snwn4ysmHnY/Ek6UEq/KZ6CT3IhFnUScWobmSDr6hG0+uzlQgXatCKIjEEw2I6jgOEYh0HE/+VEQ9OqzxlUgHozJIulsB6TOqIX76F3dpB3X8GbxSmMyI93JhuCkqQrxHGU1mx/NUOm+9tTB4Hpt2n10aoeAVrn9+jaJboHUto/fYN1n/sCCs/+xxbf+I+cFC/lhN97hm8tfT/8KMEYzFBB8OCzh3JtKNVlNSUH3XkkxvQ6TJ68AS6cERff4X8gVMARFe2GZ9ZIf7qS6z/9H2s/doGrpLQvrdBVlWUtyzdY4bKpifuWPZPBTRfLah84zq7P3Sc8bwibosRPu56Gv/w6wx+8mGymqZ6KyfsCHB055E5ipJEoXROKkpbIgoXnkuxiSb+zDMMfuJBqlcH2HLIcFnGJ9p6bKwoYolPiTvyu8trAV4jQtYY+nfUiLqW3pGQ+We76GEGo7F0kxZLlB6/QPrIKdJGQP03XsBnOfrEEbrn5kl2M3buS2i9mFGUJMvv8b8/G8W93fW2jeeO/fk3Zzx39X+end/e4pqJplm9bfWR8I/inUdPmDrKGOxg+LqfUcaAd3jnCZYWpt4mt7cvK+XBxOtUWEji2xt3eY7vD/CjsXSphkPMyeO4aixE7ijAJYFcV3hgShc/ks7Ef2KGOfYgiHbyZ+EiEVAqdxTVkGh3CA5sPSbYGcDB5p73EucCU+AmuYXQ4Eoho+UEnXuiTo4qrPzsxHOF9bhSyPBQiaKkKG3lhF3BLfhAYZMAbxRhN5PuT+EkMLgSMVpO8Brqn34RFQSwMAfWYVsyRjQ7PdCa7HCT0ULEaFGz+HeeEA+ZUrR/6n7yksLkHhvK6OlARB2M5ERQTjbyqoqVf/oq6z91ktZLKdGTF9n84+emP5/VmTKMKhuOYOjoHRGP1spv3IIwYP+hRSo3U7YeTDj8K+u46zfRS4t0HztCsp2y9XCJw7+ygbt2A3X6OGqvK9wirbHHljFXNnC9Pj4vKH7gPsYLIdVf/gY6ibn5p+8DJRlxB/4sc6DPPeR1iPdkJFm/6ti/UxMOpONW3vSMlhTJLiz96kXwHndokd0HGix8fQ+1vkNx52HprDVjwUYYhRlZgmFBUQmxsSKrGZrPdxivVti7O2ThuYzhckjjF54EYOenH2HhmR6mM8Jdv4W64yiqN2J8apH+4ZC58312763hQkEauACe/LszwfSdqLdNNB39d98c0XTt/zs7v73FNRvPzeptq0/n/wiQkZ3SCoIQXUqgKHD5xENkrfwfSKbYgYBaW8Ht7OGLHLO8JODLAx+AMVBKRIwcUMZHY4qLl+XzB86C9eixjKqUEtikn6zuK+eg0OjOEN0eMD65QNDPsZUAMy7E7D3pKKWLZYKRJdgf4qPgNlSzcCibUyxUMd0RPgjQ3pPXZQOvBOT1iLwaEAzBJ8HrMuTC/RGVqw4fCofJGy3RLIkh7Ml2oc4tthzK8XqNGRXUn90SKOixNej0YTTGN6qYrS5uvgaDIThHuLFFYC2Nclk8VWEISglPqaRkW89w2xw+0ZVzL6V0Tsa4cGKe17D54yeJO57gC89JF80feMXkwuUdjzPi8emvBcRt4VJ1HlxhuKRZ/mqbbKEsuXE7u2Q/9ADj+YDRvKb6qZepHLoPv7NH9sH7CD//NOv/wWOs/c2nSD94D6WLO+x95BSV9Yz48i76qYts/rlzVB+8i7wUorwIN2Unj62RDlrUle+HPTGluwj6q5pkD8ZzYEvQO64wIwgHjt2P3sHcNztkC2War4zI5yvsfHie+fMpWS2gfGuI2WzjtnYEj/HgGdmcHDqqT93E1yqMFmWUt38mon6tYOfffISlf/RNFn/2KYr33c32gzXmX6ihrKf94Bxx11HatezcX6O058hqahawO6tZfZfVTDTN6m2vz9hf4CPRH5cw3zAApdFJPPU7TT1PEwGltMJubMp4Lwixm1sinA5KKTnT1yp4rVFZjt/Zm4783NMvYu65Ex8FqMs3CcKQ4sSqeJ2MwpYizMhi56qY3ojk8i7jE/Mo78maEcn2mKwZowtHVg+IOhm2lqCHudyetbgJSdwMMnwQ4GODDQ1BZ4ytJgLQVEqo4qEh3BtNBZdXSrpgMBVMOI8Z5QS9FJeEEm0y2dTDyfiO3MJwhG/UsOWIfHWFsJthBhl2uYGLDO7EKsFWR4zy5Qb20Dwu1KTzMXhPUTrIv5NuUjD22FCI4QC9o5HgCUYiPoJ9T1aV49j56UcIB57Fp3roV67DkRV2H5pj7tl9hsfqKOuxUUjjUkr3RIyNZU1/+9EmS//gOfyxNdThJbonIkwqHRU915z+Wtt3RKxcPsahvyfRLIufv4Evl6heG2O+/By+VKL78XvwGnbvrZHVoXrLoXMthO6SPFbegB2L8dzkAuYcz8Pal3K2HgonIznZTKxsFqR1w7ilGByvEbUL1t9XFjCoguhrLxPXqqz/KyeJ+lXS+hFaL2cEvZzyC5vSCbWWrQ8skFdg7pWC5ispwXaPyrMZw++/CzOW7UaTenpHk6nhPi9rYWzlni//XzNA5fdUzYzg75iaiaZZfUfq09nPA/CR6I+Dz1FRNBFPwevM4iCG8YPuk8syGett7WDm5ySvzvtp1IpyFgKDOXcaNUzxWzvYwRB3/gJmvoU/vCKepZeuYu86hgLMSPxLhCEuMSgHyeVdskNNjFKCAkgtNjbE7YJ0LibZHlE0YulEYdCDTEQQtxPtfSCMKJ0WuFI4ZTh5DdliecLyMbhATVb+ZfNN4kkUJvVTJEA4cJTWh5heIXl5zkGg8fMNUAozzNBpPjG9G/Qww7QLGWMCqtmg8+AK9V9/nvZP3YszUFkvJv4l6QSFQ08Ry7EEIxExJocinnSgNNhYDOYH/zZ/8Wn0oRUG338n45Zh4Yvr+O1dkhcvoYyhvLoMvT7N9DD62VfweYFZWsCOU/YfmSfuOJZ+/pt0fuQch37xm3Q/eg/1CwO2/7W7hWVUjmEP5n/+aXwY0HtojeqVPqpRx3W6dE7qqehQDnqHNVlTBF5pS2CbOhMQaGnPyf9PaOa33h9SvzxBPgwtiy/tce0nFibbcdA5ZqgkitpNEYpZHQY/dI7uEdnMzGpCadeZY7SSoJaWp4yttA7lbU+RaLITZYLlBBcoxvOayoYl2s8obysGK+KDCofiwXrqb89M3t+T5SbY/Td8HbN6q2vmaZrVd0V9NPkTuLyQTaskFqP4pFN00IXSC/O4nV25QBBAUaBXl8VArpWAL0uJjO6sk7gVmHqN7MXLeOcxd5+acp0OcuFQ4k/x5vaGnc4sapihvGd4okkwshQlSbB3oXRNXosMULlFZcWEVD7BH1gPgZYIFzdJI8+tfF8jhvBYiNA+UFPT9oGIspPbyytCG4+6lnhjAIFG73TwjSrpkviXdGZJ5yOyqp7ymaKeQ1sRDVlN4wxTavgBKNMmgJcTd5GIEKiuF+QlTVFWlLYlLDgYOYl8yTzlX3kSs7RIcXwZ8/I17N6+/K7CgI0/+zDVW476kzfZ/eBhKrdydu6NUB4q69LRqV8R1IMPhSfVOyRidfVXrlLcXMdUK7jhEO883T/+GM1fegZ/7hTbj9SoX8kxY8fO/TE2lOP3BpI9WPulq2z+yDHxVnmobHgqtzJ2z8UsfWNA944yNoTOKbmfIPyltHWbL6Vz6VIle5DWkSzCkfijlJMxn86FHdU6P6R7okTj739NSOOPnmXvrpL4qRzUruUMlwKKkmLxqR6dO6vowlNez9h6MCHsQ3nH4rWadZe+C+tt8zQd+nNvjqfp5v8yO7+9xTUTTbP6rqqPlv6kRKVoLRt3zuOLXLxKxqBKiRiejcEPR6gkhkpZ4jLyQgzhtbJgCJTCxSHKTgzar15HV8q4w0sCvJywmVThcHEwjV3xgWTL+UBL6O44R+8P8JWYdLXOeD4g6lh8oEi2xxTlkLCbyrZbZkGDHhfiNQrNFNrpAz0VcAdjOQA9zkRoZQU+CCakbTUVVkyQCAeeLN0bQ56LSLSTLLWjKxTViGijC0Dn3oWpD0nZSU5dLLenrJzQRy0t2AAvQkoVk82wSE1+RsRWsu9oPLuNvXxNunyPniXojPEvXcJlmYxAP/Ae+odjWt/Ygf0O4/uO0r4jmqAKPAuPb0+3HN1ojNJKlgLCAD3fIj+1SvD0BUFJxBH7P3QHyU4udHJkQeD6v3sv8T6Udix7Zw3BUDAIoyXxKkUdGS+O5uV+hgPJxdOFGKrHk+97NelAFRKTohwc/ifXufWTRwj7nqx2e2QZ9iTSZtxSUwTDAWX94GeCIcRdR/MzF7CdLu599xB88zKj955m956QYAQLz43oHk+Iu47uEYPJpdNXlDRf/YczsfTdWm+baFr7s2+OaLr1t2fnt7e4ZqJpVt+V9dHq/01GdkUhgsg6/GQ0B6BKiXieJoRn1WzIBY2BdLIuFcf4YDK70UwT7b1SIqSsx5ejCdNIVvSLubIYmwOFi810dHcQraK7YzGAa9DDjPGR5gSWqQg7Y/xBvt1Bq9wLJ0oiYjw+Nnit0VkhY0VjXjfO81oJQdy5SfiwkQ6Vc68XTeMUPxyilIbFFuy15TZqVfbfu4qdbF7ZWFGUJiO/19K/3W2opc4lL+62CJBjP/AgLT7ZhRdfxY3G8thrNUVI8N572TtXQTkRWzoXkRT1Hb3DhoXnxuT1gLBbEG108du7jB++g3RONup6hzSHPrtLPl8h3B3QOzNH7bMvwtFV9u+bI20qVj6/w+hkk/3TAWEPqhsFLlAMFw1R39E9qonbkDbAxQLgXHwuZffumNKup3IzZfeehNKOo39o0oWbUNWbr1rSuiavCHfKhbD6lSH7d8kmY9iX8d1wUR6LZM9zEFpc2ioYrIrDoSgJRykYQe16Qe9IgFew+MyQrQfL0zBdryRvziv4yj+eiaXv9nrbRNPqnyXQ0Ru6rsJlfHZ9Jpre6pp5mmb1XVm/0f9ZAD4296eFwaQ1ulbFD0d456Sr5L2AMEslEUTdHpTLMroDSFPUwEKlLPEp3k8jVjwGIoXujnDlGB8abD0BQOcWfWkDd3RFgJQvvkrx6Fnx8iRVgn6Giwy2GpNc3sXOVVHWki1ILEcwLCCfgI60msIs0cKD0taKeAsNTEaBYgSdjAa9n8bD6EF2O0svNOKTmq9ith0qCyCKKJplxmdaOCNCxwWTjLlEEbcteSWYnrAP+EvB8DWdp0lD6yBupUhuU6/Dkad7qkqzvYwqx/hXroiv7LH7KKoho4WQxa/ticBpyAuKTRSNi2NqLw7Z/OAiiz/3NNn7z+GSCH/6CKPFkHFLsfpzL1Dp9lCHVol6Q3Y+dJjWcx1Uo4Z3jrlPfhM3GuHjmPxcS7bgBo7+SkCQehqXUkbLIWFf7lPcmWzOedi5J6b1Us7e2ZBRK8FkMG5pghGEO57hoiIcwt5dZvI7kcc46sFoOcakEHUdjac22PjI2gTiKY9h3HMMFwzt0yEmE7EWjCHeF4HVPRqw/HiH7Ycb7J8pyWjPe6Ku5M3NxnCzmtU7t2adplm9I+rjy/8OfpLJpULxB/kswxcFutmQDpPRMFmlRyvZlhtlIkj6A6hW8EkoIzC4HVetZWzmD3LqQoOtRKjCo548j5mfw+7sUnzoPcQXt7A3bqFLJTCG7OFT0iVSSnLmCodNAmysifdTXGQmouh33KEDsKb1EwM5sjUHU+/TNFtuXKCKApVZfBKSLVUoyuIBspGaBAor6YjlXjw5saJIRDw5g3iwJpNBXXgxe6dQJOCVxK54zXSb7kBcueD28XoFUd+T7FucUdhEkVU0RUVGVK2/+zjBkTV8s8Z4tUr8xefRh9cYnZhj91xE1IOl396ieOVVdBjQ//EHqb3SRu20GT54lNLVDj4OSecTBqshQepJdgq2HopIdgU8qTNY+uouPg4ZL5XoHQ2Jep60oYh6twVf2px01LyMHVFi7tbFbZzCQQDy0ld22PyBBfFGTcKIXST3XVm5zEH+3Mqn19l9/wppXbH6hT1u/WBLSOmRcKkaL3bYebhJZb2gcyIk7ni8ga//vRk64J1Yb1unaeXffnM6TRv/6+z89hbXTDTN6h1VH1/9BD4X8KNSWujgeS5CKQxFaESRZHnFcsb3UYDuDGXU5z1+rw1H1vDlSESSkqgMVbhpsO+Bl8hNzOTBzV387j5unGJaTVynR/YD9xDf7ML6FrYjXiJz9ylUZnE3bqEPr03N6K4cYXb7+DDAl+XF0YUGH0z8M97fFlavz8gVAriTbsWBTyprxtiSIRiKiTi50WF8uMFwOZiO33TuJ6G9ggg42IA7AFYyGdfJ7U8+n5jEdSHG8LQuYykbyveXnxiSzUUE/YL9OxOWP3MTe/2GsLQW56XLFwbYmxvw0FnU0y+Rfug+dO7ZuztG53IMLoK4ffv6g5GnvG1Jfu0bmIV5uu8/wXDJgIJkzzFYkd9L2JeV/CKR7T0XiPAzKZR2HeOWngo9F4jnyYVQuybxK9VnbrHzg0eIO47qpS43/sAc4WAyOtNMx2g6h6Wv7tG/o8Fg1VDetJRvjdm7p4LJBNWgc09p19E9Zgh7nqyhWPrGiOFyjPIQ9gp+69f/8zf1+T+rt7feNtG09KffHNG09b/Nzm9vcc1E06zekfXxw//+bbEE8q8xUC7Jmn2aQinBl6IpNdxVYsyWhKMyGssJPolet2k35aVoLdtvamIUjwJsJURZh+ll8OJFCALy952dGrqT623Y2Wf84AniJy6SPXQHNjGofAKtLOS6lZNNt3B/hDt/QQ4/itBLC/haGVtLphErOpPRXdaYCK3otqLyRjbivOZ1gutAMKEUzefb7N3fpCjLSd4F6rYoc8ioUr2mKzMRDQv/y1fQccLmn36Q+RfG6LFl+6EKyorAAcERmNQTdcRrFf/ms4KK8I7uH36ErKanlPCD6z7ofJn8tscHpFMTpHJ9zih8cND1mTC7tBz3AUTTRYpk12FjRdyRMN3G+TZqMMYu1tm5vyr3JZCOkklF6NhQbrAow/zzKWkrJOwVlC7tsvnDq9gIwr48TnOvjMkawXTkpgrxaxVl6WqldRG8lU1L2tCUdsX/5oya+ZXeJfW2iabFf+vNEU3bf3d2fnuLa+ZpmtU7sj5143+afv7xw/++fDLpxADQqEFeoHpD0AZflcw416hIxyYycHMLVa1AEODrJTGITzo5epCixgWERvxFRk0M31A0E9Rj58B74vM3KTa2MPeeIV1r4I828QpG778TnTpK17rY518BwH7oAVyocLHGxUL7VssPEPRzzI0dfKOK6vTJjjUEbjl2MnIbW8rPXpdtwXKJ9geOk5dviyc16RIdiLf58wKbVNUKvten5RyqO6D34CGUl1Fe45eeYfDx+xktGEEnROJhQkF526IfPEfvZA2TQvd4PB0DHoirtKFoXsgpX9qDvTa200XddRLdHTA+s4JJPaH2BCNHXpNNNxsdhOTe7uwoO4FmjgUd4AIJEz4YjXmjpp2kYOyJeo7aCzv4yLD+4QXxKs0HBANo39MkbWrCvifuijk/6lqyuiGvKLKq3Iflr7bZfaDB1oMxtRuO3XsizOlVot5BELGivO0It/p4XSNe71J6VXHrowsoL1t0WVVM70HqGbUMwdiT1Wb5cLOa1bu9Zp2mWb1r6uMn/mMOQn8xetItMqhs0pEyGh+HuGhC3z5Y/zey0q+snwb7KufwRqNyhx6kkjHnPa4s2XR+EgR8QBUPt3q4azcFiVCrkh9dQH3pWfCOYH6e0UMnmGbdFZ7km9dk/f7MUfJGLLloVUPYtxQVg3IelXsRWK+BN7pAEYwdpVsD1ChH5QWulqAuXpfR4wQBoBfnSc+sMFoIJ6MkESwHUSjL/+wybmcXvbrMzocOy8hs4omysZrCLYtETcd1zjDtUs2fT/FKEQxy+sdKNP7Z83jnJJ7FiDl/88eOCxAzuu2RMuntrw++p+xBJ0q6QQdjQyYhwtpORoa5XL5IZHRo48njOeEr2fg2g+qABK5zqK5bekcMOoO5Cyk21PSOSORK1HOMFjTNCxm9oxFewfJnbkIcsvPeRdKmmnbIigTirmfxt7fY+b4l8UllEIwcX/on/+lb++Se1Xek3rZO08JPvzmdpp3/fXZ+e4tr1mma1bumPnX5fwTgY+f+76jhCABlJTzXx8GEfWTRA4tPAlxZxm1TplMkeW8ohU0iov0xylp8KZxylNTE7H3QfbKxQWeOolXBrt2Ncp7o6i7myZfwxmBa8wwfOo4P1HRVPXlxY9oRyxsxRdmgU4cZO3TuiNoOmxgZRWUOIhFostIvPqXu6ZqIqHASLnz2num4a9rFcTIGO4A4wsQErsCPx+hGne0fOiwspfzA/CzHmdbVdHSnvFDBgzEk+3LcOnMEz1zE9gfU8nNi0Aeyh09hQ03nZIiLAC9k7KwiIzcbAXqCOPATkGRyMKoTwaT8RCBGiHCaTE5f26lK62o6inThgXiRx9cqEVVey+NVJAqcCJ72qRgzlhFp9VY+ecwD8lpAeaugdGvE3vevCRrgVo62IcNFhcmhdlPGgfuPLJHsW377n/5nb/lzelbfIzUjgr9jaiaaZvWuq19/4a9OP//46ifkhD7xKQH4JBQBNOkquSgQUrfz08BanTnSViLhvP1sKqx8oEVATbhLEugr/qdgkOEDQ3piAX9qUbpQqaX0pZfAGEbvPY0PFIP7VqdeHm8kNNjFmuo3N6HXJ7/ryDTn7rWvoxKzchBhoqacJbgtlA5GXpWNgqKshQIeQNwRj5MzEI69vMDWSiz+9hZ+d4/Ro6dIGyE+5PZWob89SjugJrhQRlzhrTY7P3UP2kLrc5fJHriDohLQORZMRY4cNFPY5IHB2k6QCAfiCSZdJ8n+FVEXTG538jWThJqpid29/nfuAiE6VDYswUjETftUQPWmZ7ioKW87oo5F54a8LI95VjfkqwFxx0sXTmtcKaB6I2Xn3oS8GuG1PHaVW8X0ufGFX/sLv/8n5axmNat3Rc1E06ze1fWp9b8JwMeP/AcysislsjEXBTKe0wJB8lrO0Cp3U2+5zhVFOcCFCUE/vx2BEhpcqHFlyaTDe3Ra4AMjhujz1/FpRvrwKYpKQPHeM3itMLnDeS1dJ80EgilxJl5D/95l8LeDiA+4QC48IHn71xnB4QBYKZd/bUdpuDwZQQoSirSupmbqNFLs/sGzRF1H/cuXUUlC6UaX8XyL8Zy6LdQ8twUUEPU8rd++DmlGeveRSWabY/1fOXlbwB0wPQ/85q8RfToXMaQt8lgXMlKbiiEFrZcLSlc7qO4ASgn5YpWDiJu8Fkj3KHP010K8gaIkHabSrvjN+msGkxqyukS2pHVNZcNRe7VH56469UsD9s5VMKnk+RUl8Ts1z/fp3VFh86ESUU8et+YFIWDqwvG5z/+l3/+Tb1az+hbLe4f37vf+wd/jOmb11tdMNM3qe6I+df1vTD//+In/GDUYoeIIH4VQClGT1sUBYgBAFZ6wm+MDRTYfC7fJesJehs4dQTelaCTYOBBGkxXxZI8t440m2huhcoutxOT1EBuJb4pJjMn0r0/L+OigSzSNczkYVVlRHrIVx4Ro7TGZo0i0iCo76dp4iPqOvKxFFJQ14UAu7yLx3yQ7GXtnS2Q1zdaPn5r6rJoXx3gjgM+8IrwjoVqP6Z6ISRuKrY8cJRh7KusZc8/s4coR47maZK0VImKUnQimieCaepcmi4kHmANvbq/4H/rVDRgMp5uOABQDwv4QwpDh2SWidk7WCIk6OaVYM1gxsp1Xg2Ck0Hbie8o94VBQC60Xh/SOlShqMXhPOhfTuJTK560IncN4XmGr8ntvvZwTtTP6R0v85qdnuIBZvU3l/Rsfr33v2JO/ozUTTbP6nqsD7xPAx8/+JdReX0ziSYhJc3wc3kYZOAe5Ro8tRSPCDApsKcCFGp0EhHtD7HIVbxQukFBdnUp7x1Yi8J6gPcKHmnC7j60n5PUYd8BnAsCLcPKvEUyTKJYDQeP1pJuUO5RT0/Fe3Jb2UtqUWBKTiuepejMl6GWMV8qkdS0Bs33LYDkgqyWT/DQ1HX25ULF3dwmde+KOnwIzbSTbc86IOTwYe7Kqpnsswh+fx0WvQQdEYtQ+YD6FA9l2K0qKtKFf1406uF3lYfU329DrS9cvzwUFYe2Uu5UdmyfazxitJHij2D1XpigLTDLZK+gejUj2Lb3DAYtP9hitlVDWkOwWpPMxtasj2qdL5DXFuKXRRYgqoPXikMQo6q86hmslKrdSPvuF/+Itfe7NalazemfXTDTN6nu6PvXiz0w//9h7/ivUYIwa59PNOx8FqELQA2FbOhQ6t7g4wMaGfL6M8sIW0lbeLcq4TOFDyZIrKnVMahkfaeAmokhbD4UXj9DUsCOjOgnQ9dNOk84mJlGjyEt6yjBykSKrHuTpQdK2hJ0M5aB/NKE4LgGgUVf8WOM5QzgUY7SaHCfc7gR5M2EO1TV5eZJXZ5hu3xVlRfVWMYlqkaw2ZWH1ly/fBodOQpaVMZNswAiadWyjhA8MLlB0TyR4DXlVbmP/vgbzaU6+WCV8dVPeMRszFa7RlW18rcxovkI6B8tPjOkdjcmqmtqVjNYLOUUtZPGpHvv3VGlcGlO+2qdzrkFWVTgTE3c9jVclkzCvB6jc0zuWUFnP+OwX/su34Zk2q1n9S8q/CUbwWafpbamZaJrVrCb168/8N9PPP/rwX8YHWnADbuJDDs3UX4PzmFEBWrbu1EFnigmIETCDgrweojOHjc1kPV4EVlYzxPuFxMrFClWIiDmIM/FaTY3HtqSn1xm3C7L6bUHhQuRYCkjrmtKrQ9rvad2OTVFQlLREtijZPtOTcR/WoxTMP9NFr+/S/uBx8rImq2oxew89OveSYxcrytuWrGaYf2IXrq1zEPNCFIlfLIqgVSddqTJYCYVGHgnRu/HcHpsfWpDjfS2I00LaVHTPzVN9tQuBAXug4jyjc2uMlmR0Fg4dSRvMuKB21aNzB9YT7PfonlohKslxd08kVNal01Talt9TXgsZrkQkewVRO591lGb13VXuNQyOb7dmnqa3pWaiaVaz+l3qN578y6/7+qOP/BVhON1uCklN4k+U9yJ8JuRvF2psSbxONhHzt1cQ7uVQCjCZn37fjBwu1lPmk+SlySafC0Sg6Vz8VPHWgORqxuCueWwkvqVgaAn6OYNDJXp3t9A5gJ+OAGX7TU0z0lxwO1YFD7YSMXzkqDCNrvTxp6vSSQqhiDUmkzFb1C2IbrRhv4MPA4mxAfzqAp175rChmhyz8J0OKOBpU7P1gYUJCV3y68bN2xl3XsN4ThMulintShzN8P5DFIlG547GS33aZ6soYLioGS1UiXqeYOjoHTGYtDZZuzPUrqYE3TG2EpE1I7zR6NQS7Wd84Z/POkqzmtWs3ljNRNOsZvUt1G888V9PP//oI38FF9/+01HOozLxHQkW4DXbbka8SmYk4mm8GGPG0rrShcdPuj7BoBDmU+EoSho92ZyTcaAXcTV2qPVtcJ7KUyMZiRmDPbJIUQ5JdjJ8qMkrBrjdXQIoYkWQepqvjBktx6R1PQ2ubZ8S87fysHt/bYoa0BZKGznJrQF6KKPJ0R3zeDWPtp7usYMMvdvxK9NQYIkHnEa8HHTNFGIy1wWTD8/CV7dhry2eploVCst4zlDECtD012pEPc9oQXxROhMieV4yLD49xAeavBoI7bwe4MIyLlB88VdmHKVZvUNqNp57x9RMNM1qVr/Peq2AAvjIe/8bfPAaaJLyYtYOZETmD7o9hcd4sImMkYqyQRceawBlCPsFNhQlU8TCEoraOeH2gNGxhoigCSKBLJNtm8KiX75GBKgoBOuIvEO15mg/vISaCJODIN7+0YR432JGjnhnTD4XEwwK8mow8WCByj3lCzu4eonxcoX+HTVsPCEMT1hPB10qk3lMymTTTgm/itd87l7vn6psWapfuogvCrAWFcfifSqXyE6vMjgkW24ukK240q4naXuGS5qoJ6PL+tUMG4np3gdaOm7dnM/91mzkNqt3Znnn8G9wPDdDDrw9NRNNs5rVG6xPP/5f/Qvf++EP/reoTHbsvVZ4IwZuB5iRmLr9axhINlToROjiKoWoU+AiLRwoINkaotd3pyRxPxEcVMqMT7YoKuY272hSOvMivDoFWTPEOfFK5VXxV+XViqz/N4P/X3v3HhZVmccB/HtmmBvMcJPlJjcFNTQVvKFSiU8Y+rS76u5qT1lcNLZQvCzpilbik6Vb4maPuZa76bplYY95Wd2w1ATLKPFCpAmIQqCh4AUFlLn+9o+REyMXR7nMAL/P88zzdN5zzju/8x468/Oc97wv1D/XQVpehfqH/SDRmVA90gtGmWCeA84EKG6aoD5UCF14MGr95eaESU+/Pv4zAZoLOtzykkFWZ4K6uBpC5TWQwQCqN3fAFqRSCEqFOWGSSqAd2Q9aVweoy29B56qAQ50ezkW1MGjk0Ds7QF4jwKHOCJNcgMt586S8Up35MajUZMJXB1M76pQy1rn4TlOXwUkTYx3g7o7GT4x+DSaFAwSHO+MqNQwcSQDJJJDqyTzO0p1+SNJ6A+QXa8ULoWAyAQYDSG8eYkBwVMHo64F6H5V52XinU7ap0fAEd8Z80rrLIK03QWqCmDCR1DyeEwmAU84581tvchmUJ0pARiNcT5nvnBGZIEilgEppngA3txBu3xpABj0gSCDIHMzz7SkUgCBA+dOdAyYC5HIIDg7mdXIZoFTgxmAPCCbzIJ2Ov2jh8mM1oDdAWSuH1scZRqV5dHZ5td6ccMrM/ba44zZjzB5w0sRYJ2jubhQATBzyCgxujuZHTXfeiJMYTJCWXjJvoHaCSa2CpKIKkEjMj+AEATAYYFTLIBjujPEkgdgpXV14FSSRQLitBUxGQG8AFAqATFAZ7nQ6UirMYyKZCHBSQWgolxIEQW5+i00QIBhN5voNRvNkvEolBNmdy0bDW256vXlcJcD8Bh0AOKnMU87IHWBUK6B3coDBSQoHrcl8B+y6CYKJYHR1hFBvgMlRBtlNLSAI+DLn1XZufcbsnIl+navoQfGdpk7BSRNjNrQv//Vmyyc88gZMconYN0he7wKtrwtMMgHyaq15OhcADreNMMkkUJ6/Ko6VBIMRgoMUuF1vvvNEJgi6Oz2z3VzuDNh5Z1mpMG9nNJr/u2FkYr25kzlpnACpYJ57T6f/ddBPB6l5CAbAPHSByTyJscHVfOdLojOKkxtLa7WQaA1QVpqHCBCILIZ3YKzHI0KTCRUfqA7W0ThpYswO7f/m5XtuM6n/YnEEbVLKAEEO4eoNc3KjhXnsJAcJBJnSfLdIpQRMBJOLozmh0RvNd7cU6judrQQxAYLJ3B9LTLYkEvN+DcMiGBvWG0ByB5gk5kuJw416AMC+H1Z0UMswxpjtcNLEWBeVWfSmrUNgjLUDMhGojY/niO80dQrJvTdhjDHGWIchU/t87tP69esRFBQEpVKJiIgIHD16tAMOrnvhpIkxxhjrYbZt24aUlBSkpaXhxIkTGDp0KGJiYlBZWWnr0OwaJ02MMcaYDZGJ2uVzP/7+978jMTERCQkJGDhwIN577z04Ojpi06ZNHXSU3QMnTYwxxpgtdfLjOZ1Oh+PHjyM6Olosk0gkiI6ORk5OTkccYbfRozqCN3SUu3nzpo0jYYwxZu8afis6upO1Afo2DwhugPlN17t/3xQKBRQKhUXZlStXYDQa4eXlZVHu5eWFgoKCtgXSzfWopKmmpgYA4O/vb+NIGGOMdRU1NTVwcXFp93rlcjm8vb3xzaXP26U+tVrd5PctLS0Ny5cvb5f6WQ9Lmnx9fVFeXg6NRgNBEO69Qxdz8+ZN+Pv7o7y8HM7OzrYOx65w27SM26Z13D4t6+5tQ0SoqamBr69vh9SvVCpRUlICnU7XLvURUZPftrvvMgGAh4cHpFIpLl++bFF++fJleHt7t0ss3VWPSpokEgn8/PxsHUaHc3Z27pYXsPbAbdMybpvWcfu0rDu3TUfcYWpMqVRCqVR26HfcTS6XY/jw4Th48CCmTJkCADCZTDh48CCSk5M7NZaupkclTYwxxhgDUlJSEBcXhxEjRmDUqFFYu3Yt6urqkJCQYOvQ7BonTYwxxlgP89RTT6GqqgrLli3DpUuXEBYWhn379jXpHM4scdLUjSgUCqSlpTX7DLun47ZpGbdN67h9WsZt07UlJyfz47j7JBBPWMMYY4wxdk88uCVjjDHGmBU4aWKMMcYYswInTYwxxhhjVuCkqZvTarUICwuDIAjIy8uzdTg2V1pailmzZqFPnz5QqVQIDg5GWlpauw0u1xWtX78eQUFBUCqViIiIwNGjR20dks2tWrUKI0eOhEajgaenJ6ZMmYLCwkJbh2WX/va3v0EQBCxYsMDWoTDW4Thp6ub++te/dthotl1RQUEBTCYT3n//fZw+fRpvv/023nvvPSxdutTWodnEtm3bkJKSgrS0NJw4cQJDhw5FTEwMKisrbR2aTWVnZ2POnDn47rvvsH//fuj1ejzxxBOoq6uzdWh2JTc3F++//z6GDBli61AY6xT89lw3lpmZiZSUFHz22WcYNGgQTp48ibCwMFuHZXdWr16NDRs24Pz587YOpdNFRERg5MiRePfddwGYRwX29/fH3LlzkZqaauPo7EdVVRU8PT2RnZ2Nxx57zNbh2IXa2loMGzYM//jHP/D6668jLCwMa9eutXVYjHUovtPUTV2+fBmJiYn48MMP4ejoaOtw7NqNGzfg7u5u6zA6nU6nw/HjxxEdHS2WSSQSREdHIycnx4aR2Z8bN24AQI/8O2nJnDlz8OSTT1r8/TDW3fHglt0QESE+Ph4vvvgiRowYgdLSUluHZLeKi4uxbt06pKen2zqUTnflyhUYjcYmIwB7eXmhoKDARlHZH5PJhAULFiAyMhIPP/ywrcOxCxkZGThx4gRyc3NtHQpjnYrvNHUhqampEASh1U9BQQHWrVuHmpoaLFmyxNYhdxpr26axixcvYuLEiZg2bRoSExNtFDmzd3PmzMGpU6eQkZFh61DsQnl5OebPn4+tW7d2+kSzjNka92nqQqqqqnD16tVWt+nbty+mT5+OPXv2QBAEsdxoNEIqlWLGjBnYsmVLR4fa6axtG7lcDgD45ZdfEBUVhdGjR+Pf//43JJKe9+8HnU4HR0dHbN++XZzpHADi4uJQXV2N3bt32y44O5GcnIzdu3fj8OHD6NOnj63DsQu7du3C1KlTIZVKxTKj0QhBECCRSKDVai3WMdadcNLUDZWVleHmzZvi8i+//IKYmBhs374dERER8PPzs2F0tnfx4kWMHz8ew4cPx0cffdSjL/AREREYNWoU1q1bB8D8KCogIADJyck9uiM4EWHu3LnYuXMnsrKy0K9fP1uHZDdqamrw888/W5QlJCTgoYcewuLFi/kRJuvWuE9TNxQQEGCxrFarAQDBwcGcMF28iKioKAQGBiI9PR1VVVXiOm9vbxtGZhspKSmIi4vDiBEjMGrUKKxduxZ1dXVISEiwdWg2NWfOHHz88cfYvXs3NBoNLl26BABwcXGBSqWycXS2pdFomiRGTk5O6NWrFydMrNvjpIn1KPv370dxcTGKi4ubJJA98abrU089haqqKixbtgyXLl1CWFgY9u3b16RzeE+zYcMGAEBUVJRF+ebNmxEfH9/5ATHG7AI/nmOMMcYYs0LP6/3KGGOMMfYAOGlijDHGGLMCJ02MMcYYY1bgpIkxxhhjzAqcNDHGGGOMWYGTJsYYY4wxK3DSxBhjjDFmBU6aGGOMMcaswEkT6/aioqKwYMGCDv2OrKwsCIKA6urqDv2e7uju8xMUFIS1a9faLJ7WNJxnQRAsJjl+EKWlpWJdYWFh7RJfT3P48GH87ne/g6+vLwRBwK5du+67DiJCeno6+vfvD4VCgd69e+ONN95o/2BZt8DTqLBub8eOHZDJZO1WX1RUFMLCwix+2MeOHYuKigq4uLi02/f0VLm5uXBycmrXOuPj41FdXf1AP6rNKSwshKenZ5vq8Pf3R0VFBdLT03HgwIF2iaunqaurw9ChQzFz5kz84Q9/eKA65s+fjy+//BLp6ekYPHgwrl27hmvXrrVzpKy74KSJdVk6nQ5yufye27m7u3d4LHK5vEdO+GstIoLRaISDw70vOb/5zW86IaK28fT0hKura5vqkEql8Pb2FifUZvdv0qRJmDRpUovrtVotXn75ZXzyySeorq7Gww8/jDfffFOcU/DMmTPYsGEDTp06hQEDBgAA+vTp0xmhsy6KH88xuxAVFYXk5GQkJyfDxcUFHh4eePXVVy0m0Q0KCsKKFSsQGxsLZ2dn/PnPfwYAfPbZZxg0aBAUCgWCgoKwZs2aJnU3fvyj1WqxcOFC9O7dG05OToiIiEBWVpbFPkeOHEFUVBQcHR3h5uaGmJgYXL9+HfHx8cjOzsY777wjPlopLS1t9vHcveIKCgrCypUrMXPmTGg0GgQEBGDjxo1Wtdd//vMfqNVqnD17ViybPXs2HnroIdy6deue+2u1WixevBj+/v5QKBQICQnBBx98IK7Pzs7GqFGjoFAo4OPjg9TUVBgMBov9582bB09PTyiVSjzyyCPIzc0V1ze0R2ZmJoYPHw6FQoFvvvkGdXV1iI2NhVqtho+PT5M2aWiXxnfxBEHAv/71L0ydOhWOjo7o168f/vvf/4rrjUYjZs2ahT59+kClUmHAgAF45513xPXLly/Hli1bsHv3bvGcNZzv8vJyTJ8+Ha6urnB3d8fkyZNRWlp6z/a7W1RUFObOnYsFCxbAzc0NXl5e+Oc//4m6ujokJCRAo9EgJCQEmZmZ9103e3DJycnIyclBRkYG8vPzMW3aNEycOFH8/2bPnj3o27cv9u7diz59+iAoKAjPP/8832liLSPG7MC4ceNIrVbT/PnzqaCggD766CNydHSkjRs3itsEBgaSs7MzpaenU3FxMRUXF9OxY8dIIpHQa6+9RoWFhbR582ZSqVS0efNmi7rnz58vLj///PM0duxYOnz4MBUXF9Pq1atJoVBQUVERERGdPHmSFAoFJSUlUV5eHp06dYrWrVtHVVVVVF1dTWPGjKHExESqqKigiooKMhgMdOjQIQJA169fJyKyKq7AwEByd3en9evX09mzZ2nVqlUkkUiooKDAqjabNm0ajRw5kvR6Pe3du5dkMhkdO3bMqn2nT59O/v7+tGPHDjp37hwdOHCAMjIyiIjowoUL5OjoSLNnz6YzZ87Qzp07ycPDg9LS0sT9582bR76+vvT555/T6dOnKS4ujtzc3Ojq1atERGJ7DBkyhL788ksqLi6mq1evUlJSEgUEBNCBAwcoPz+ffvvb35JGo7E4P4GBgfT222+LywDIz8+PPv74Yzp79izNmzeP1Gq1+F06nY6WLVtGubm5dP78efFvZ9u2bUREVFNTQ9OnT6eJEyeK50yr1ZJOp6PQ0FCaOXMm5efn008//UTPPPMMDRgwgLRabbPtdvd5bjBu3DjSaDS0YsUKKioqohUrVpBUKqVJkybRxo0bqaioiJKSkqhXr15UV1dnsW9aWhoNHTrUqvPGWgaAdu7cKS7//PPPJJVK6eLFixbbPf7447RkyRIiInrhhRdIoVBQREQEHT58mA4dOkRhYWE0fvz4zgyddSGcNDG7MG7cOAoNDSWTySSWLV68mEJDQ8XlwMBAmjJlisV+zzzzDE2YMMGibNGiRTRw4ECLuht+lK25kD799NMUGRnZaqyNf+SJmv6YWhNXYGAgPfvss+KyyWQiT09P2rBhQ4vf3di1a9fIz8+PkpKSyMvLi9544w2r9issLCQAtH///mbXL126lAYMGGBxLtavX09qtZqMRiPV1taSTCajrVu3iut1Oh35+vrSW2+9RUS/tseuXbvEbWpqakgul9Onn34qll29epVUKtU9k6ZXXnlFXK6trSUAlJmZ2eIxzpkzh/74xz+Ky3FxcTR58mSLbT788MMmx6nVakmlUtEXX3zRbL2tJU2PPPKIuGwwGMjJyYmee+45sayiooIAUE5OjsW+nDS1j7uTpr179xIAcnJysvg4ODjQ9OnTiYgoMTGRAFBhYaG43/HjxwmA1f94YT0L92lidmP06NEQBEFcHjNmDNasWQOj0QipVAoAGDFihMU+Z86cweTJky3KIiMjsXbtWov9Gvz4448wGo3o37+/RblWq0WvXr0AAHl5eZg2bVqbjsXauIYMGSKuFwQB3t7eqKystOo73Nzc8MEHHyAmJgZjx45FamqqVfvl5eVBKpVi3LhxLcY+ZswYi3MRGRmJ2tpaXLhwAdXV1dDr9YiMjBTXy2QyjBo1CmfOnLGoq/H5OnfuHHQ6HSIiIsQyd3d3sS9Jaxq3k5OTE5ydnS3aaf369di0aRPKyspw+/Zt6HS6e76R9sMPP6C4uBgajcaivL6+HufOnbtnTK3FKJVK0atXLwwePFgs8/LyAgCrzy9rm9raWkilUhw/frzJdaChH5mPjw8cHBwsrgehoaEAgLKyMqv+NlnPwkkT61La+laVNRdSlUrVpu+4H3e/1ScIAkwmk9X7Hz58GFKpFBUVFairq2uSADSnM4+vvd6Ca62dMjIysHDhQqxZswZjxoyBRqPB6tWr8f3337daZ21tLYYPH46tW7c2WfcgndGbi7FxWUMSej/nlz248PBwGI1GVFZW4tFHH212m8jISBgMBpw7dw7BwcEAgKKiIgBAYGBgp8XKug7uCM7sxt0/ct999x369evXJLlpLDQ0FEeOHLEoO3LkCPr379/sfo0vpCEhIRafhrffhgwZgoMHD7b4nXK5HEajsdVjud+4HsS3336LN998E3v27IFarUZycrJV+w0ePBgmkwnZ2dnNrg8NDUVOTo5FJ/wjR45Ao9HAz88PwcHBkMvlFsen1+uRm5uLgQMHtvi9wcHBkMlkFuf5+vXr4o/Ugzpy5AjGjh2L2bNnIzw8HCEhIU3uFDV3zoYNG4azZ8/C09Ozyd8CDx3RNdTW1iIvLw95eXkAgJKSEuTl5aGsrAz9+/fHjBkzEBsbix07dqCkpARHjx7FqlWr8L///Q8AEB0djWHDhmHmzJk4efIkjh8/jhdeeAETJkxocjeaMYCTJmZHysrKkJKSgsLCQnzyySdYt24d5s+f3+o+L730Eg4ePIgVK1agqKgIW7ZswbvvvouFCxc2u701F9IlS5YgNzcXs2fPRn5+PgoKCrBhwwZcuXIFgPntru+//x6lpaW4cuVKs3cO7jeu+1VTU4PnnnsO8+bNw6RJk7B161Zs27YN27dvv+e+QUFBiIuLw8yZM7Fr1y6UlJQgKysLn376KQDzW3jl5eWYO3cuCgoKsHv3bqSlpSElJQUSiQROTk5ISkrCokWLsG/fPvz0009ITEzErVu3MGvWrBa/V61WY9asWVi0aBG++uornDp1CvHx8ZBI2nYZ6tevH44dO4YvvvgCRUVFePXVVy3e5Gs45vz8fBQWFuLKlSvQ6/WYMWMGPDw8MHnyZHz99ddiO8ybNw8XLlxoU0yscxw7dgzh4eEIDw8HAKSkpCA8PBzLli0DAGzevBmxsbF46aWXMGDAAEyZMgW5ubkICAgAAEgkEuzZswceHh547LHH8OSTTyI0NBQZGRk2OyZm52zdqYoxInNH2tmzZ9OLL75Izs7O5ObmRkuXLrXopHt3B+EG27dvp4EDB5JMJqOAgABavXp1k7obdzRueNsqKCiIZDIZ+fj40NSpUyk/P1/cJisri8aOHUsKhYJcXV0pJiZG7PxbWFhIo0ePJpVKRQCopKSk2Q7C94qrueMZOnSoxVtqLUlISKDBgwdTfX29WLZmzRpyd3enCxcu3HP/27dv01/+8hfy8fEhuVxOISEhtGnTJovjHzlyJMnlcvL29qbFixeTXq+32H/u3Lnk4eFBCoWCIiMj6ejRo+L6ljpM19TU0LPPPkuOjo7k5eVFb731VpPz01xH8MYdfImIXFxcxDcR6+vrKT4+nlxcXMjV1ZWSkpIoNTXVonN1ZWUlTZgwgdRqNQGgQ4cOEZG5c3ZsbKx4HH379qXExES6ceNGs+3WWkfwu18OaO78Nncs3BGcsa5DIGp0D54xG2lulO32MmbMGDz++ON4/fXX271u1rNkZWVh/PjxuH79epsHt2ywfPly7Nq1S3zExBizX/x4jnVbWq0Wx44dw+nTpzFo0CBbh8O6ET8/Pzz99NNtqqOsrAxqtRorV65sp6gYYx2N355j3VZmZiZiY2Px+9//Hn/6059sHc59WblyZYs/po8++mirI0t//fXXrU4tUVtb2+b4eqqIiAhxNOm2Tn/i6+sr3l1SKBRtDY0x1gn48Rxjdqi1SUNVKhV69+7d4r63b9/GxYsXW1wfEhLS5vgYY6wn4qSJMcYYY8wK3KeJMcYYY8wKnDQxxhhjjFmBkybGGGOMMStw0sQYY4wxZgVOmhhjjDHGrMBJE2OMMcaYFThpYowxxhizAidNjDHGGGNW+D9+N8SZWRjCyAAAAABJRU5ErkJggg==",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ds.IR_016.plot()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ds_units.IR_016.plot()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
diff --git a/notebooks/dev/msg/0.4-MSG-filename-parser.ipynb b/notebooks/dev/msg/0.4-MSG-filename-parser.ipynb
new file mode 100644
index 0000000..373bb8e
--- /dev/null
+++ b/notebooks/dev/msg/0.4-MSG-filename-parser.ipynb
@@ -0,0 +1,241 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import os\n",
+ "import glob\n",
+ "import matplotlib.pyplot as plt\n",
+ "from dataclasses import dataclass\n",
+ "from typing import List\n",
+ "from pathlib import Path\n",
+ "from datetime import datetime"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path = '/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "filenames = glob.glob(f'{path}/**', recursive=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/',\n",
+ " '/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/L1b',\n",
+ " '/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/L1b/MSG4-SEVI-MSG15-0100-NA-20201002141243.994000000Z-NA.nat',\n",
+ " '/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/L1b/MSG4-SEVI-MSG15-0100-NA-20201002142742.310000000Z-NA.nat',\n",
+ " '/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/CM',\n",
+ " '/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/CM/MSG4-SEVI-MSGCLMK-0100-0100-20201002141500.000000000Z-NA.grb',\n",
+ " '/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/CM/MSG4-SEVI-MSGCLMK-0100-0100-20201002140000.000000000Z-NA.grb',\n",
+ " '/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/CM/MSG4-SEVI-MSGCLMK-0100-0100-20201002143000.000000000Z-NA.grb']"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "filenames"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "\n",
+ "@dataclass(order=True, frozen=True)\n",
+ "class MSGFileName:\n",
+ " \"\"\"\n",
+ " MSG Data product file name\n",
+ " MSG[sat-no]-[instrument]-MSG[data-product]-0100-NA-[YYYYMMDDHHMMSS].[sssssssss]Z-NA.nat\n",
+ "\n",
+ " MSG Cloud mask file name\n",
+ " MSG[sat-no]-[instrument]-MSG[data-product]-0100-0100-[YYYYMMDDHHMMSS].[sssssssss]Z-NA.grb\n",
+ " \"\"\"\n",
+ " save_path: str \n",
+ " instrument: str\n",
+ " satellite_number: str\n",
+ " data_product: str\n",
+ " data_details_1: str\n",
+ " data_details_2: str\n",
+ " subsecond: str\n",
+ " ext: str\n",
+ " datetime_acquisition: datetime\n",
+ "\n",
+ " @classmethod\n",
+ " def from_filename(cls, file_name: str):\n",
+ " \"\"\"\n",
+ " Creates a MSGFileName object from a given file name.\n",
+ "\n",
+ " Args:\n",
+ " cls (type): The class object that the method is bound to.\n",
+ " file_name (str): The file name to parse.\n",
+ "\n",
+ " Returns:\n",
+ " MSGFileName: The parsed GOESFileName object.\n",
+ " \"\"\"\n",
+ "\n",
+ " file_name = Path(file_name)\n",
+ " print(file_name)\n",
+ " components = file_name.name.split('-')\n",
+ " save_path = str(file_name.parents[0])\n",
+ "\n",
+ " satellite_number = components[0][3:]\n",
+ " instrument = components[1]\n",
+ " data_product = components[2][3:]\n",
+ " data_details_1 = components[3]\n",
+ " data_details_2 = components[4]\n",
+ " datetime_acquisition = components[5]\n",
+ " ext = components[6].split('.')[1]\n",
+ "\n",
+ " # acquisition time and date\n",
+ " date_time_components = datetime_acquisition.split('.')\n",
+ " year = date_time_components[0][:4]\n",
+ " month = date_time_components[0][4:6]\n",
+ " day = date_time_components[0][6:8]\n",
+ " time = date_time_components[0][8:14]\n",
+ " subsecond = date_time_components[1][:-1]\n",
+ " datetime_acquisition = datetime.strptime(f\"{year}{month}{day}{time}\", \"%Y%m%d%H%M%S\")\n",
+ "\n",
+ " ext = components[6].split('.')[1]\n",
+ " return cls(\n",
+ " save_path=save_path,\n",
+ " instrument = instrument,\n",
+ " satellite_number=satellite_number,\n",
+ " data_product=data_product,\n",
+ " data_details_1=data_details_1,\n",
+ " data_details_2=data_details_2,\n",
+ " subsecond=subsecond,\n",
+ " ext = ext,\n",
+ " datetime_acquisition=datetime_acquisition\n",
+ " )\n",
+ " \n",
+ " @property\n",
+ " def msg_filename(self):\n",
+ " \"\"\"\n",
+ " Generates the MSG file name based on the object's properties.\n",
+ "\n",
+ " Returns:\n",
+ " str: The generated MSG file name.\n",
+ " MSG[sat-no]-[instrument]-MSG[data-product]-0100-NA-[YYYYMMDDHHMMSS].[sssssssss]Z-NA.nat\n",
+ "\n",
+ " \"\"\"\n",
+ " # satellite number\n",
+ " filename = f\"MSG{self.satellite_number}\"\n",
+ " # instrument\n",
+ " filename += f\"-{self.instrument}\"\n",
+ " # data product\n",
+ " filename += f\"-MSG{self.data_product}-{self.data_details_1}-{self.data_details_2}\"\n",
+ " # acquisition time\n",
+ " date_acquisition = self.datetime_acquisition.strftime(\"%Y%m%d%H%M%S\")\n",
+ " filename += f\"-{date_acquisition}\"\n",
+ " # subsecond\n",
+ " filename += f\".{self.subsecond}Z-NA\"\n",
+ " # extension\n",
+ " filename += f\".{self.ext}\"\n",
+ " return filename\n",
+ " \n",
+ " @property\n",
+ " def full_path(self):\n",
+ " \"\"\"\n",
+ " Gets the full path of the GOES file.\n",
+ "\n",
+ " Returns:\n",
+ " Path: The full path of the GOES file.\n",
+ " \"\"\"\n",
+ " return Path(self.save_path).joinpath(self.msg_filename)\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/CM/MSG4-SEVI-MSGCLMK-0100-0100-20201002140000.000000000Z-NA.grb\n"
+ ]
+ }
+ ],
+ "source": [
+ "test = MSGFileName.from_filename(filenames[6])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'MSG4-SEVI-MSGCLMK-0100-0100-20201002140000.000000000Z-NA.grb'"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "test.msg_filename"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "iti-env",
+ "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": "3.11.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/dev/msg/1.1-MSG-geoprocess-val.ipynb b/notebooks/dev/msg/1.1-MSG-geoprocess-val.ipynb
new file mode 100644
index 0000000..1f5f65f
--- /dev/null
+++ b/notebooks/dev/msg/1.1-MSG-geoprocess-val.ipynb
@@ -0,0 +1,553 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/opt/anaconda3/envs/iti-env/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+ " from .autonotebook import tqdm as notebook_tqdm\n"
+ ]
+ }
+ ],
+ "source": [
+ "import autoroot\n",
+ "from typing import Optional, Callable\n",
+ "import toolz \n",
+ "import functools as ft\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "import tqdm.auto as tqdm\n",
+ "from rastervision.core.data import RasterioSource, XarraySource\n",
+ "import xarray as xr\n",
+ "import rioxarray\n",
+ "\n",
+ "sns.reset_defaults()\n",
+ "sns.set_context(context=\"talk\", font_scale=0.7)\n",
+ "\n",
+ "%matplotlib inline\n",
+ "%load_ext autoreload\n",
+ "%autoreload 2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "example_file = \"/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/geoprocessed/20201001155743_msg.nc\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds = xr.open_dataset(example_file)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " Rad (band, y, x) float32 ...\n",
+ "Attributes:\n",
+ " calibration: radiance\n",
+ " standard_name: toa_outgoing_radiance_per_unit_wavenumber\n",
+ " platform_name: Meteosat-11\n",
+ " sensor: seviri\n",
+ " units: mW m-2 sr-1 (cm-1)-1\n",
+ " orbital_parameters: {"projection_longitude": 0.0, "projection_latitude":... Dimensions: y : 665x : 2428band : 11time : 1band_wavelength : 11
Coordinates: (8)
y
(y)
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units : m standard_name : projection_x_coordinate array([-5136690.219879, -5133689.816713, -5130689.413548, ..., 2139287.457228,\n",
+ " 2142287.860394, 2145288.263559]) cloud_mask
(y, x)
float64
...
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...
[1614620 values with dtype=float64] longitude
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[1614620 values with dtype=float64] band
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object
'IR_016' 'IR_039' ... 'WV_073'
array(['IR_016', 'IR_039', 'IR_087', 'IR_097', 'IR_108', 'IR_120', 'IR_134',\n",
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array(['2020-10-01 15:45:00'], dtype=object) band_wavelength
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array([ 1.64, 3.92, 8.7 , 9.66, 10.8 , 12. , 13.4 , 0.64, 0.81, 6.25,\n",
+ " 7.35]) Data variables: (1)
Rad
(band, y, x)
float32
...
calibration : radiance end_time : 2020-10-01 16:00:00 georef_offset_corrected : true modifiers : [] orbital_parameters : {"projection_longitude": 0.0, "projection_latitude": 0.0, "projection_altitude": 35785831.0, "satellite_nominal_longitude": 0.0, "satellite_nominal_latitude": 0.0, "satellite_actual_longitude": 0.17958909815069699, "satellite_actual_latitude": -0.20635654964318093, "satellite_actual_altitude": 35786871.08950648} platform_name : Meteosat-11 reader : seviri_l1b_native resolution : 3000.403165817 sensor : seviri standard_name : toa_outgoing_radiance_per_unit_wavenumber start_time : 2020-10-01 15:45:00 time_parameters : {"nominal_start_time": "2020-10-01 15:45:00", "nominal_end_time": "2020-10-01 16:00:00", "observation_start_time": "2020-10-01 15:45:11.359000", "observation_end_time": "2020-10-01 15:57:43.818000"} units : mW m-2 sr-1 (cm-1)-1 wavelength : 1.64 µm (1.5-1.78 µm) grid_mapping : msg_seviri_fes_3km [17760820 values with dtype=float32] Indexes: (5)
PandasIndex
PandasIndex(Index([ -1449194.729089737, -1446194.3259239197, -1443193.9227581024,\n",
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PandasIndex(Index(['2020-10-01 15:45:00'], dtype='object', name='time')) PandasIndex
PandasIndex(Index([1.64, 3.92, 8.7, 9.66, 10.8, 12.0, 13.4, 0.64, 0.81, 6.25, 7.35], dtype='float64', name='band_wavelength')) Attributes: (6)
calibration : radiance standard_name : toa_outgoing_radiance_per_unit_wavenumber platform_name : Meteosat-11 sensor : seviri units : mW m-2 sr-1 (cm-1)-1 orbital_parameters : {"projection_longitude": 0.0, "projection_latitude": 0.0, "projection_altitude": 35785831.0, "satellite_nominal_longitude": 0.0, "satellite_nominal_latitude": 0.0, "satellite_actual_longitude": 0.17958909815069699, "satellite_actual_latitude": -0.20635654964318093, "satellite_actual_altitude": 35786871.08950648} "
+ ],
+ "text/plain": [
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+ " * x (x) float64 -5.137e+06 -5.134e+06 ... 2.142e+06 2.145e+06\n",
+ " cloud_mask (y, x) float64 ...\n",
+ " latitude (y, x) float64 ...\n",
+ " longitude (y, x) float64 ...\n",
+ " * band (band) object 'IR_016' 'IR_039' ... 'WV_062' 'WV_073'\n",
+ " * time (time) object '2020-10-01 15:45:00'\n",
+ " * band_wavelength (band_wavelength) float64 1.64 3.92 8.7 ... 0.81 6.25 7.35\n",
+ "Data variables:\n",
+ " Rad (band, y, x) float32 ...\n",
+ "Attributes:\n",
+ " calibration: radiance\n",
+ " standard_name: toa_outgoing_radiance_per_unit_wavenumber\n",
+ " platform_name: Meteosat-11\n",
+ " sensor: seviri\n",
+ " units: mW m-2 sr-1 (cm-1)-1\n",
+ " orbital_parameters: {\"projection_longitude\": 0.0, \"projection_latitude\":..."
+ ]
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+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
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+ "ds"
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+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
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+ ]
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+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "iti-env",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
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+ "name": "ipython",
+ "version": 3
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+ "file_extension": ".py",
+ "mimetype": "text/x-python",
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+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
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+}
diff --git a/notebooks/dev/msg/1.2-MSG-patch-val.ipynb b/notebooks/dev/msg/1.2-MSG-patch-val.ipynb
new file mode 100644
index 0000000..4e9d87f
--- /dev/null
+++ b/notebooks/dev/msg/1.2-MSG-patch-val.ipynb
@@ -0,0 +1,667 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/opt/anaconda3/envs/iti-env/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+ " from .autonotebook import tqdm as notebook_tqdm\n"
+ ]
+ }
+ ],
+ "source": [
+ "import autoroot\n",
+ "from typing import Optional, Callable\n",
+ "import toolz \n",
+ "import functools as ft\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "import tqdm.auto as tqdm\n",
+ "from rastervision.core.data import RasterioSource, XarraySource\n",
+ "import xarray as xr\n",
+ "import rioxarray\n",
+ "\n",
+ "sns.reset_defaults()\n",
+ "sns.set_context(context=\"talk\", font_scale=0.7)\n",
+ "\n",
+ "%matplotlib inline\n",
+ "%load_ext autoreload\n",
+ "%autoreload 2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "example_file = \"/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/analysis/20201001152743_patch_8.nc\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds = xr.open_dataset(example_file)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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y
(y)
float64
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Rad
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float32
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calibration : radiance end_time : 2020-10-01 15:30:00 georef_offset_corrected : true modifiers : [] orbital_parameters : {"projection_longitude": 0.0, "projection_latitude": 0.0, "projection_altitude": 35785831.0, "satellite_nominal_longitude": 0.0, "satellite_nominal_latitude": 0.0, "satellite_actual_longitude": 0.17962446202874502, "satellite_actual_latitude": -0.27801593849965334, "satellite_actual_altitude": 35785393.31815981} platform_name : Meteosat-11 reader : seviri_l1b_native resolution : 3000.403165817 sensor : seviri standard_name : toa_outgoing_radiance_per_unit_wavenumber start_time : 2020-10-01 15:15:00 time_parameters : {"nominal_start_time": "2020-10-01 15:15:00", "nominal_end_time": "2020-10-01 15:30:00", "observation_start_time": "2020-10-01 15:15:11.239000", "observation_end_time": "2020-10-01 15:27:43.698000"} units : mW m-2 sr-1 (cm-1)-1 wavelength : 1.64 µm (1.5-1.78 µm) grid_mapping : msg_seviri_fes_3km [720896 values with dtype=float32] Indexes: (5)
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+ "Coordinates:\n",
+ " * y (y) float64 -1.449e+06 -1.446e+06 ... -6.871e+05 -6.841e+05\n",
+ " * x (x) float64 1.008e+06 1.011e+06 ... 1.77e+06 1.773e+06\n",
+ " cloud_mask (y, x) float64 ...\n",
+ " latitude (y, x) float64 ...\n",
+ " longitude (y, x) float64 ...\n",
+ " * band (band) object 'IR_016' 'IR_039' ... 'WV_062' 'WV_073'\n",
+ " * time (time) object '2020-10-01 15:15:00'\n",
+ " * band_wavelength (band_wavelength) float64 1.64 3.92 8.7 ... 0.81 6.25 7.35\n",
+ "Data variables:\n",
+ " Rad (band, y, x) float32 ..."
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.imshow(ds.cloud_mask.values)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(256, 256)"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds.sel(band='IR_016').Rad.values.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.imshow(ds.sel(band='IR_016').Rad.values) # Why does this look so strange?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "example_file_np = \"/Users/anna.jungbluth/Desktop/git/rs_tools/data/msg/analysis/20201001152743_radiance_patch_8.npy\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "np_data = np.load(example_file_np)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(11, 256, 256)"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np_data.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.imshow(np_data[0, :, :])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "iti-env",
+ "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": "3.11.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/rs_tools/__init__.py b/rs_tools/__init__.py
index 758837d..4074f9c 100644
--- a/rs_tools/__init__.py
+++ b/rs_tools/__init__.py
@@ -1,6 +1,9 @@
from rs_tools._src.data.goes.download import goes_download
from rs_tools._src.data.modis.download import modis_download
+from rs_tools._src.data.msg.download import msg_download
from rs_tools._src.data.modis.bands import MODIS_VARIABLES, get_modis_channel_numbers
+from rs_tools._src.geoprocessing.modis import MODIS_WAVELENGTHS
+from rs_tools._src.geoprocessing.goes import GOES_WAVELENGTHS
+from rs_tools._src.geoprocessing.msg import MSG_WAVELENGTHS
-
-__all__ = ["goes_download", "modis_download", "MODIS_VARIABLES", "get_modis_channel_numbers"]
\ No newline at end of file
+__all__ = ["goes_download", "modis_download", "msg_download", "MODIS_VARIABLES", "get_modis_channel_numbers", "MODIS_WAVELENGTHS", "GOES_WAVELENGTHS", "MSG_WAVELENGTHS"]
diff --git a/rs_tools/__main__.py b/rs_tools/__main__.py
new file mode 100644
index 0000000..e8eeaab
--- /dev/null
+++ b/rs_tools/__main__.py
@@ -0,0 +1,42 @@
+import hydra
+from typing import Dict
+from loguru import logger
+from omegaconf import OmegaConf, DictConfig
+
+
+@hydra.main(config_path="../config/example/", config_name="main", version_base="1.3")
+def main(cfg):
+ # instantiate the config
+ logger.debug(f"Choosing Stage...")
+ if cfg.stage == "download":
+ logger.info(f"Instantiating Downloader: {cfg.satellite.download['_target_']}")
+ download = hydra.utils.instantiate(cfg.satellite.download)
+ hydra.utils.call(download)
+
+ elif cfg.stage == "geoprocess":
+ logger.info(f"Instantiating Geoprocessor: {cfg.satellite.geoprocess['_target_']}")
+ geoprocess = hydra.utils.instantiate(cfg.satellite.geoprocess)
+ hydra.utils.call(geoprocess)
+
+ elif cfg.stage == "preprocess":
+ logger.debug(f"starting preprocessing script...")
+ raise NotImplementedError()
+
+ elif cfg.stage == "patch":
+ logger.debug(f"Instantiating Prepatcher: {cfg.satellite.patch['_target_']}")
+ patch = hydra.utils.instantiate(cfg.satellite.patch)
+ hydra.utils.call(patch)
+ else:
+ raise ValueError(f"Unrecognized stage: {cfg.stage}")
+
+if __name__ == "__main__":
+ main()
+
+""""
+EXAMPLES:
+ python rs_tools satellite=goes stage=download
+ python rs_tools satellite=goes stage=geoprocess
+ python rs_tools satellite=msg stage=geoprocess
+ python rs_tools satellite=terra stage=geoprocess
+"""
+
diff --git a/rs_tools/_src/data/goes/__init__.py b/rs_tools/_src/data/goes/__init__.py
index e69de29..d30da14 100644
--- a/rs_tools/_src/data/goes/__init__.py
+++ b/rs_tools/_src/data/goes/__init__.py
@@ -0,0 +1,122 @@
+from dataclasses import dataclass
+from pathlib import Path
+from datetime import datetime
+@dataclass(order=True, frozen=True)
+class GOESFileName:
+ """
+ GOES Data product file name
+ noaa-goes[sat-no]/[instrument]-[level]-[product][domain]/[year]/[day]/[hour]/
+ OR_[instrument]-[level]-[product][domain]-M4C[channel]_G[sat-no]_s[YYYYDDDHHMMSSS]_e[YYYYDDDHHMMSSS]_c[YYYYDDDHHMMSSS].nc
+ s = start date
+ e = end date
+ c = creation date
+ GOES Cloud mask file name
+ noaa-goes[sat-no]/[instrument]-[level]-[product][domain]/[year]/[day]/[hour]/
+ OR_[instrument]-[level]-[product][domain]-M6_G[sat-no]_s[YYYYDDDHHMMSSS]_e[YYYYDDDHHMMSSS]_c[YYYYDDDHHMMSSS].nc
+
+ """
+ save_path: str
+ instrument: str
+ processing_level: str
+ satellite_number: str
+ product: str
+ domain: str
+ identifier: str
+ ext: str
+ datetime_acquisition_start: datetime
+ datetime_acquisition_end: datetime
+ datetime_processing: datetime
+
+ @classmethod
+ def from_filename(cls, file_name: str):
+ """
+ Creates a GOESFileName object from a given file name.
+
+ Args:
+ cls (type): The class object that the method is bound to.
+ file_name (str): The file name to parse.
+
+ Returns:
+ GOESFileName: The parsed GOESFileName object.
+ """
+
+ file_name = Path(file_name)
+ print(file_name)
+ components = file_name.name.split('_')
+ save_path = str(file_name.parents[0])
+
+ data_product = components[1]
+ data_product_components = data_product.split('-')
+ instrument = data_product_components[0]
+ processing_level = data_product_components[1]
+ product = data_product_components[2][:-1]
+ domain = data_product_components[2][-1]
+ identifier = data_product_components[3]
+ satellite_number = components[2][-2:]
+
+ # acquisition start time and date
+ time = components[3][8:]
+ year = components[3][1:5]
+ day = components[3][5:8]
+ datetime_acquisition_start = datetime.strptime(f"{year}{day}{time}", "%Y%j%H%M%S%f")
+
+ # acquisition end time and date
+ time = components[4][8:]
+ year = components[4][1:5]
+ day = components[4][5:8]
+ datetime_acquisition_end = datetime.strptime(f"{year}{day}{time}", "%Y%j%H%M%S%f")
+
+ # processing time and date
+ time = components[5][8:-3]
+ year = components[5][1:5]
+ day = components[5][5:8]
+ datetime_processing = datetime.strptime(f"{year}{day}{time}", "%Y%j%H%M%S%f")
+
+ ext = components[5].split('.')[1]
+ return cls(
+ save_path=save_path,
+ instrument = instrument,
+ processing_level = processing_level,
+ satellite_number=satellite_number,
+ product=product,
+ domain=domain,
+ identifier=identifier,
+ datetime_acquisition_start=datetime_acquisition_start,
+ datetime_acquisition_end=datetime_acquisition_end,
+ datetime_processing=datetime_processing,
+ ext = ext
+ )
+
+ @property
+ def goes_filename(self):
+ """
+ Generates the GOES file name based on the object's properties.
+
+ Returns:
+ str: The generated GOES file name.
+ """
+ # data product
+ filename = f"OR_{self.instrument}-{self.processing_level}-{self.product}{self.domain}-{self.identifier}"
+ # satellite number
+ filename += f"_G{self.satellite_number}"
+ # acquisition start and end
+ date_acquisition_start = self.datetime_acquisition_start.strftime("%Y%j%H%M%S%f")
+ date_acquisition_end = self.datetime_acquisition_end.strftime("%Y%j%H%M%S%f")
+ filename += f"_s{date_acquisition_start}_e{date_acquisition_end}"
+ # processing time
+ date_processing = self.datetime_processing.strftime("%Y%j%H%M%S%f")
+ filename += f"_c{date_processing}"
+ # extension
+ filename += f".{self.ext}"
+ return filename
+
+ @property
+ def full_path(self):
+ """
+ Gets the full path of the GOES file.
+
+ Returns:
+ Path: The full path of the GOES file.
+ """
+ return Path(self.save_path).joinpath(self.goes_filename)
+
\ No newline at end of file
diff --git a/rs_tools/_src/data/goes/downloader_goes16.py b/rs_tools/_src/data/goes/downloader_goes16.py
new file mode 100644
index 0000000..372035b
--- /dev/null
+++ b/rs_tools/_src/data/goes/downloader_goes16.py
@@ -0,0 +1,135 @@
+import autoroot
+import numpy as np
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+
+from rs_tools import goes_download
+
+import typer
+from loguru import logger
+
+@dataclass
+class GOES16Download:
+ """A class for downloading GOES 16 data and cloud mask
+
+ Attributes:
+ start_date (str): The start date of the data to download.
+ end_date (str): The end date of the data to download.
+ start_time (str): The start time of the data to download.
+ end_time (str): The end time of the data to download.
+ daily_window_t0 (str): The start time of the daily window for data download.
+ daily_window_t1 (str): The end time of the daily window for data download.
+ time_step (str): The time step for data download.
+ save_dir (str): The directory to save the downloaded data.
+
+ Methods:
+ download: Downloads GOES 16 data.
+ download_cloud_mask: Downloads GOES 16 cloud mask.
+ """
+
+ start_date: str
+ end_date: str
+ start_time: str
+ end_time: str
+ daily_window_t0: str
+ daily_window_t1: str
+ time_step: str
+ save_dir: str
+
+ def download(self) -> List[str]:
+ """Downloads GOES 16 data"""
+ goes_files = goes_download(
+ start_date=self.start_date,
+ end_date=self.end_date,
+ start_time=self.start_time,
+ end_time=self.end_time,
+ daily_window_t0=self.daily_window_t0,
+ daily_window_t1=self.daily_window_t1,
+ time_step=self.time_step,
+ satellite_number=16,
+ save_dir=Path(self.save_dir).joinpath("L1b"),
+ instrument="ABI",
+ processing_level='L1b',
+ data_product='Rad',
+ domain='F',
+ bands='all',
+ check_bands_downloaded=True,
+ )
+ return goes_files
+
+ def download_cloud_mask(self) -> List[str]:
+ """Downloads GOES 16 cloud mask"""
+ goes_files = goes_download(
+ start_date=self.start_date,
+ end_date=self.end_date,
+ start_time=self.start_time,
+ end_time=self.end_time,
+ daily_window_t0=self.daily_window_t0,
+ daily_window_t1=self.daily_window_t1,
+ time_step=self.time_step,
+ satellite_number=16,
+ save_dir=Path(self.save_dir).joinpath("CM"),
+ instrument="ABI",
+ processing_level='L2',
+ data_product='ACM',
+ domain='F',
+ bands='all',
+ check_bands_downloaded=True,
+ )
+ return goes_files
+
+
+def download(
+ start_date: str="2020-10-02",
+ end_date: str="2020-10-02",
+ start_time: str="14:00:00",
+ end_time: str="20:00:00",
+ daily_window_t0: str="14:00:00",
+ daily_window_t1: str="14:30:00",
+ time_step: str="00:15:00",
+ save_dir: str='./data/',
+ cloud_mask: bool = True
+):
+ """
+ Downloads GOES 16 data including cloud mask
+
+ Args:
+ start_date (str): The start date of the data to download (format: 'YYYY-MM-DD')
+ end_date (str): The end date of the data to download (format: 'YYYY-MM-DD')
+ start_time (str): The start time of the data to download (format: 'HH:MM:SS')
+ end_time (str): The end time of the data to download (format: 'HH:MM:SS')
+ daily_window_t0 (str): The start time of the daily window (format: 'HH:MM:SS')
+ daily_window_t1 (str): The end time of the daily window (format: 'HH:MM:SS')
+ time_step (str): The time step between consecutive data downloads (format: 'HH:MM:SS')
+ save_path (str): The path to save the downloaded data
+ cloud_mask (bool, optional): Whether to download the cloud mask data (default: True)
+
+ Returns:
+ List[str]: List of downloaded file names
+ """
+ # Initialize GOES 16 Downloader
+ logger.info("Initializing GOES16 Downloader...")
+ dc_goes16_download = GOES16Download(
+ start_date=start_date,
+ end_date=end_date,
+ start_time=start_time,
+ end_time=end_time,
+ daily_window_t0=daily_window_t0,
+ daily_window_t1=daily_window_t1,
+ time_step=time_step,
+ save_dir=Path(save_dir).joinpath("goes16"),
+ )
+ logger.info("Downloading GOES 16 Data...")
+ goes16_filenames = dc_goes16_download.download()
+ logger.info("Done!")
+ if cloud_mask:
+ logger.info("Downloading GOES 16 Cloud Mask...")
+ goes16_filenames = dc_goes16_download.download_cloud_mask()
+ logger.info("Done!")
+
+ logger.info("Finished GOES 16 Downloading Script...")
+
+if __name__ == '__main__':
+ typer.run(download)
\ No newline at end of file
diff --git a/rs_tools/_src/data/modis/__init__.py b/rs_tools/_src/data/modis/__init__.py
index 97f99a8..cc5e32a 100644
--- a/rs_tools/_src/data/modis/__init__.py
+++ b/rs_tools/_src/data/modis/__init__.py
@@ -38,6 +38,16 @@ class MODISFileName:
@classmethod
def from_filename(cls, file_name: str):
+ """
+ Creates a MODISFileName object from a given file name.
+
+ Args:
+ cls (type): The class object that the method is bound to.
+ file_name (str): The file name to parse.
+
+ Returns:
+ MODISFileName: The parsed MODISFileName object.
+ """
file_name = Path(file_name)
components = file_name.name.split('.')
@@ -48,16 +58,16 @@ def from_filename(cls, file_name: str):
# time and date
time = components[2]
year = components[1][1:5]
- doy = components[1][-3:]
- datetime_acquisition = datetime.strptime(f"{year}{doy}{time}", "%Y%j%H%M")
+ day = components[1][-3:]
+ datetime_acquisition = datetime.strptime(f"{year}{day}{time}", "%Y%j%H%M")
# processing time
year = components[-2][:4]
- doy = components[-2][4:7]
+ day = components[-2][4:7]
hour = components[-2][-6:-4]
minute = components[-2][-4:-2]
second = components[-2][-2:]
- datetime_processing = datetime.strptime(f"{year}{doy}{hour}{minute}{second}", "%Y%j%H%M%S")
+ datetime_processing = datetime.strptime(f"{year}{day}{hour}{minute}{second}", "%Y%j%H%M%S")
# extension
ext = components[-1]
@@ -71,14 +81,22 @@ def from_filename(cls, file_name: str):
@property
def satellite_name(self):
+ """
+ Gets the name of the satellite based on the satellite ID.
+
+ Returns:
+ str: The name of the satellite.
+ """
return MODIS_ID_TO_NAME[self.satellite_id]
@property
def modis_filename(self):
"""
- M[O/Y]D02[1/H/Q]KM.A[date].[time].[collection].[processing_time].hdf
- """
+ Generates the MODIS file name based on the object's properties.
+ Returns:
+ str: The generated MODIS file name.
+ """
# satellite ID
filename = f"{self.satellite_id}"
# Date
@@ -98,12 +116,14 @@ def modis_filename(self):
@property
def full_path(self):
"""
- M[O/Y]D02[1/H/Q]KM.A[date].[time].[collection].[processing_time].hdf
- """
+ Gets the full path of the MODIS file.
+ Returns:
+ Path: The full path of the MODIS file.
+ """
return Path(self.save_path).joinpath(self.modis_filename)
-
+# NOTE: we no longer download geo data
def get_modis_paired_files(files: List[MODISFileName], satellite="aqua"):
# get satellite filenames
modis_satellite = list(filter(lambda x: x.satellite_name == satellite, files))
diff --git a/rs_tools/_src/data/modis/download.py b/rs_tools/_src/data/modis/download.py
index c044ad9..7443221 100644
--- a/rs_tools/_src/data/modis/download.py
+++ b/rs_tools/_src/data/modis/download.py
@@ -42,7 +42,8 @@ def modis_download(
bounding_box (tuple, optional): The region to be downloaded.
earthdata_username (str): Username associated with the NASA Earth Data login. Required for download.
earthdata_password (str): Password associated with the NASA Earth Data login. Required for download.
-
+ day_night_flag (str, optional): The time of day for the data. Options are "day" and "night". If not provided, both day and night data will be downloaded.
+ identifier (str, optional): The MODIS data product identifier. Options are "02" and "35". Default is "02".
Returns:
list: A list of file paths for the downloaded files.
diff --git a/rs_tools/_src/data/modis/downloader_aqua.py b/rs_tools/_src/data/modis/downloader_aqua.py
new file mode 100644
index 0000000..9dfc115
--- /dev/null
+++ b/rs_tools/_src/data/modis/downloader_aqua.py
@@ -0,0 +1,111 @@
+"""
+A General Pipeline for create ML-Ready Data
+- Downloading the Data
+- Data Harmonization
+- Normalizing
+- Patching
+"""
+import autoroot
+import numpy as np
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+from rs_tools import modis_download
+
+import typer
+from loguru import logger
+
+
+@dataclass
+class MODISAquaDownload:
+ """Downloading class for AQUA/MODIS data and cloud mask"""
+ start_date: str
+ end_date: str
+ start_time: str
+ end_time: str
+ save_dir: str
+ bounding_box: tuple[float, float, float, float]
+
+ def download(self) -> List[str]:
+ aqua_files = modis_download(
+ start_date=self.start_date,
+ end_date=self.end_date,
+ start_time=self.start_time,
+ end_time=self.end_time,
+ day_step=1,
+ satellite="Aqua",
+ save_dir=Path(self.save_dir).joinpath("L1b"),
+ processing_level='L1b',
+ resolution="1KM",
+ bounding_box=self.bounding_box,
+ day_night_flag="day",
+ identifier= "02"
+ )
+ return aqua_files
+
+ def download_cloud_mask(self) -> List[str]:
+ aqua_files = modis_download(
+ start_date=self.start_date,
+ end_date=self.end_date,
+ start_time=self.start_time,
+ end_time=self.end_time,
+ day_step=1,
+ satellite="Aqua",
+ save_dir=Path(self.save_dir).joinpath("CM"),
+ processing_level='L2',
+ resolution="1KM",
+ bounding_box=self.bounding_box,
+ day_night_flag="day",
+ identifier= "35"
+ )
+ return aqua_files
+
+
+def download(
+ start_date: str = "2020-10-01",
+ end_date: str = "2020-10-01",
+ start_time: str = "14:00:00",
+ end_time: str = "21:00:00",
+ save_dir: str = "./data/",
+ region: str = "-130 -15 -90 5",
+ cloud_mask: bool = True
+):
+ """
+ Downloads AQUA MODIS data including cloud mask
+
+ Args:
+ start_date (str): The start date of the period to download files for in the format "YYYY-MM-DD".
+ end_date (str): The end date of the period to download files for in the format "YYYY-MM-DD".
+ start_time (str): The start time of the period to download files for in the format "HH:MM:SS".
+ end_time (str): The end time of the period to download files for in the format "HH:MM:SS".
+ save_dir (str): The directory path to save the downloaded files.
+ region (str, optional): The geographic region to download files for in the format "min_lon min_lat max_lon max_lat".
+ cloud_mask (bool, optional): Whether to download the cloud mask data (default: True).
+
+ Returns:
+ None
+ """
+ bounding_box = tuple(map(lambda x: int(x), region.split(" ")))
+ # Initialize AQUA Downloader
+ logger.info("Initializing AQUA Downloader...")
+ dc_aqua_download = MODISAquaDownload(
+ start_date=start_date,
+ end_date=end_date,
+ start_time=start_time,
+ end_time=end_time,
+ save_dir=Path(save_dir).joinpath("aqua"),
+ bounding_box=bounding_box,
+ )
+ logger.info("Downloading AQUA Data...")
+ modis_filenames = dc_aqua_download.download()
+ logger.info("Done!")
+ if cloud_mask:
+ logger.info("Downloading AQUA Cloud Mask...")
+ modis_filenames = dc_aqua_download.download_cloud_mask()
+ logger.info("Done!")
+
+ logger.info("Finished AQUA Downloading Script...")
+
+if __name__ == '__main__':
+ typer.run(download)
\ No newline at end of file
diff --git a/rs_tools/_src/data/modis/downloader_terra.py b/rs_tools/_src/data/modis/downloader_terra.py
new file mode 100644
index 0000000..2b49d08
--- /dev/null
+++ b/rs_tools/_src/data/modis/downloader_terra.py
@@ -0,0 +1,111 @@
+"""
+A General Pipeline for create ML-Ready Data
+- Downloading the Data
+- Data Harmonization
+- Normalizing
+- Patching
+"""
+import autoroot
+import numpy as np
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+from rs_tools import modis_download
+
+import typer
+from loguru import logger
+
+
+@dataclass
+class MODISTerraDownload:
+ """Downloading class for TERRA/MODIS data and cloud mask"""
+ start_date: str
+ end_date: str
+ start_time: str
+ end_time: str
+ save_dir: str
+ bounding_box: tuple[float, float, float, float]
+
+ def download(self) -> List[str]:
+ terra_files = modis_download(
+ start_date=self.start_date,
+ end_date=self.end_date,
+ start_time=self.start_time,
+ end_time=self.end_time,
+ day_step=1,
+ satellite="Terra",
+ save_dir=Path(self.save_dir).joinpath("L1b"),
+ processing_level='L1b',
+ resolution="1KM",
+ bounding_box=self.bounding_box,
+ day_night_flag="day",
+ identifier= "02"
+ )
+ return terra_files
+
+ def download_cloud_mask(self) -> List[str]:
+ terra_files = modis_download(
+ start_date=self.start_date,
+ end_date=self.end_date,
+ start_time=self.start_time,
+ end_time=self.end_time,
+ day_step=1,
+ satellite="Terra",
+ save_dir=Path(self.save_dir).joinpath("CM"),
+ processing_level='L2',
+ resolution="1KM",
+ bounding_box=self.bounding_box,
+ day_night_flag="day",
+ identifier= "35"
+ )
+ return terra_files
+
+
+def download(
+ start_date: str = "2020-10-01",
+ end_date: str = "2020-10-01",
+ start_time: str = "14:00:00",
+ end_time: str = "21:00:00",
+ save_dir: str = "./data/",
+ region: str = "-130 -15 -90 5",
+ cloud_mask: bool = True
+):
+ """
+ Downloads TERRA MODIS data including cloud mask
+
+ Args:
+ start_date (str): The start date of the period to download files for in the format "YYYY-MM-DD".
+ end_date (str): The end date of the period to download files for in the format "YYYY-MM-DD".
+ start_time (str): The start time of the period to download files for in the format "HH:MM:SS".
+ end_time (str): The end time of the period to download files for in the format "HH:MM:SS".
+ save_dir (str): The directory path to save the downloaded files.
+ region (str, optional): The geographic region to download files for in the format "min_lon min_lat max_lon max_lat".
+ cloud_mask (bool, optional): Whether to download the cloud mask data (default: True).
+
+ Returns:
+ None
+ """
+ bounding_box = tuple(map(lambda x: int(x), region.split(" ")))
+ # Initialize TERRA Downloader
+ logger.info("Initializing TERRA Downloader...")
+ dc_terra_download = MODISTerraDownload(
+ start_date=start_date,
+ end_date=end_date,
+ start_time=start_time,
+ end_time=end_time,
+ save_dir=Path(save_dir).joinpath("terra"),
+ bounding_box=bounding_box,
+ )
+ logger.info("Downloading TERRA Data...")
+ modis_filenames = dc_terra_download.download()
+ logger.info("Done!")
+ if cloud_mask:
+ logger.info("Downloading TERRA Cloud Mask...")
+ modis_filenames = dc_terra_download.download_cloud_mask()
+ logger.info("Done!")
+
+ logger.info("Finished TERRA Downloading Script...")
+
+if __name__ == '__main__':
+ typer.run(download)
\ No newline at end of file
diff --git a/rs_tools/_src/data/msg/__init__.py b/rs_tools/_src/data/msg/__init__.py
index e69de29..ff57ecd 100644
--- a/rs_tools/_src/data/msg/__init__.py
+++ b/rs_tools/_src/data/msg/__init__.py
@@ -0,0 +1,104 @@
+from dataclasses import dataclass
+from pathlib import Path
+from datetime import datetime
+@dataclass(order=True, frozen=True)
+class MSGFileName:
+ """
+ MSG Data product file name
+ MSG[sat-no]-[instrument]-MSG[data-product]-0100-NA-[YYYYMMDDHHMMSS].[sssssssss]Z-NA.nat
+
+ MSG Cloud mask file name
+ MSG[sat-no]-[instrument]-MSG[data-product]-0100-0100-[YYYYMMDDHHMMSS].[sssssssss]Z-NA.grb
+ """
+ save_path: str
+ instrument: str
+ satellite_number: str
+ data_product: str
+ data_details_1: str
+ data_details_2: str
+ subsecond: str
+ ext: str
+ datetime_acquisition: datetime
+
+ @classmethod
+ def from_filename(cls, file_name: str):
+ """
+ Creates a MSGFileName object from a given file name.
+
+ Args:
+ cls (type): The class object that the method is bound to.
+ file_name (str): The file name to parse.
+
+ Returns:
+ MSGFileName: The parsed GOESFileName object.
+ """
+
+ file_name = Path(file_name)
+ print(file_name)
+ components = file_name.name.split('-')
+ save_path = str(file_name.parents[0])
+
+ satellite_number = components[0][3:]
+ instrument = components[1]
+ data_product = components[2][3:]
+ data_details_1 = components[3]
+ data_details_2 = components[4]
+ datetime_acquisition = components[5]
+ ext = components[6].split('.')[1]
+
+ # acquisition time and date
+ date_time_components = datetime_acquisition.split('.')
+ year = date_time_components[0][:4]
+ month = date_time_components[0][4:6]
+ day = date_time_components[0][6:8]
+ time = date_time_components[0][8:14]
+ subsecond = date_time_components[1][:-1]
+ datetime_acquisition = datetime.strptime(f"{year}{month}{day}{time}", "%Y%m%d%H%M%S")
+
+ ext = components[6].split('.')[1]
+ return cls(
+ save_path=save_path,
+ instrument = instrument,
+ satellite_number=satellite_number,
+ data_product=data_product,
+ data_details_1=data_details_1,
+ data_details_2=data_details_2,
+ subsecond=subsecond,
+ ext = ext,
+ datetime_acquisition=datetime_acquisition
+ )
+
+ @property
+ def msg_filename(self):
+ """
+ Generates the MSG file name based on the object's properties.
+
+ Returns:
+ str: The generated MSG file name.
+ MSG[sat-no]-[instrument]-MSG[data-product]-0100-NA-[YYYYMMDDHHMMSS].[sssssssss]Z-NA.nat
+
+ """
+ # satellite number
+ filename = f"MSG{self.satellite_number}"
+ # instrument
+ filename += f"-{self.instrument}"
+ # data product
+ filename += f"-MSG{self.data_product}-{self.data_details_1}-{self.data_details_2}"
+ # acquisition time
+ date_acquisition = self.datetime_acquisition.strftime("%Y%m%d%H%M%S")
+ filename += f"-{date_acquisition}"
+ # subsecond
+ filename += f".{self.subsecond}Z-NA"
+ # extension
+ filename += f".{self.ext}"
+ return filename
+
+ @property
+ def full_path(self):
+ """
+ Gets the full path of the GOES file.
+
+ Returns:
+ Path: The full path of the GOES file.
+ """
+ return Path(self.save_path).joinpath(self.msg_filename)
\ No newline at end of file
diff --git a/rs_tools/_src/data/msg/download.py b/rs_tools/_src/data/msg/download.py
index b61ecfb..ada7765 100644
--- a/rs_tools/_src/data/msg/download.py
+++ b/rs_tools/_src/data/msg/download.py
@@ -176,7 +176,6 @@ def is_in_between(date):
def _download(time: datetime, data_product: str, save_dir: str, datastore):
products = _compile_msg_products(data_product=data_product, time=time, datastore=datastore)
sub_files_list = _msg_data_download(products=products, save_dir=save_dir)
- print(sub_files_list)
return sub_files_list
def _compile_msg_products(data_product: str, time: datetime, datastore):
@@ -214,6 +213,9 @@ def _check_eumdac_login(eumdac_key: str, eumdac_secret: str) -> bool:
msg += "\nOr provide them as command line arguments using:"
msg += "\n--eumdac-key --eumdac-secret "
raise ValueError(msg)
+ else:
+ eumdac_key = os.environ.get("EUMDAC_KEY")
+ eumdac_secret = os.environ.get("EUMDAC_SECRET")
# check if credentials are valid
credentials = (eumdac_key, eumdac_secret)
@@ -330,7 +332,7 @@ def _check_save_dir(save_dir: str) -> bool:
return True
else:
try:
- os.mkdirs(save_dir)
+ os.makedirs(save_dir)
return True
except:
msg = "Save directory does not exist"
diff --git a/rs_tools/_src/data/msg/downloader_msg.py b/rs_tools/_src/data/msg/downloader_msg.py
new file mode 100644
index 0000000..f78b5d6
--- /dev/null
+++ b/rs_tools/_src/data/msg/downloader_msg.py
@@ -0,0 +1,109 @@
+import autoroot
+import numpy as np
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+
+from rs_tools import msg_download
+
+import typer
+from loguru import logger
+
+@dataclass
+class MSGDownload:
+ """Downloading class for MSG data and cloud mask"""
+ start_date: str
+ end_date: str
+ start_time: str
+ end_time: str
+ daily_window_t0: str
+ daily_window_t1: str
+ time_step: str
+ save_dir: str
+
+ def download(self) -> List[str]:
+ msg_files = msg_download(
+ start_date=self.start_date,
+ end_date=self.end_date,
+ start_time=self.start_time,
+ end_time=self.end_time,
+ daily_window_t0=self.daily_window_t0,
+ daily_window_t1=self.daily_window_t1,
+ time_step=self.time_step,
+ satellite="MSG",
+ save_dir=Path(self.save_dir).joinpath("L1b"),
+ instrument="HRSEVIRI",
+ processing_level='L1',
+ )
+ return msg_files
+
+ def download_cloud_mask(self) -> List[str]:
+ msg_files = msg_download(
+ start_date=self.start_date,
+ end_date=self.end_date,
+ start_time=self.start_time,
+ end_time=self.end_time,
+ daily_window_t0=self.daily_window_t0,
+ daily_window_t1=self.daily_window_t1,
+ time_step=self.time_step,
+ satellite="MSG",
+ save_dir=Path(self.save_dir).joinpath("CM"),
+ instrument="CLM",
+ processing_level='L1',
+ )
+ return msg_files
+
+
+def download(
+ start_date: str="2020-10-02",
+ end_date: str="2020-10-02",
+ start_time: str="14:00:00",
+ end_time: str="20:00:00",
+ daily_window_t0: str="14:00:00",
+ daily_window_t1: str="14:30:00",
+ time_step: str="00:15:00",
+ save_dir: str='./data/',
+ cloud_mask: bool = True
+):
+ """
+ Downloads MSG data including cloud mask
+
+ Args:
+ start_date (str): The start date of the data to download (format: 'YYYY-MM-DD')
+ end_date (str): The end date of the data to download (format: 'YYYY-MM-DD')
+ start_time (str): The start time of the data to download (format: 'HH:MM:SS')
+ end_time (str): The end time of the data to download (format: 'HH:MM:SS')
+ daily_window_t0 (str): The start time of the daily window (format: 'HH:MM:SS')
+ daily_window_t1 (str): The end time of the daily window (format: 'HH:MM:SS')
+ time_step (str): The time step between consecutive data downloads (format: 'HH:MM:SS')
+ save_path (str): The path to save the downloaded data
+ cloud_mask (bool, optional): Whether to download the cloud mask data (default: True)
+
+ Returns:
+ List[str]: List of downloaded file names
+ """
+ # Initialize MSG Downloader
+ logger.info("Initializing MSG Downloader...")
+ dc_msg_download = MSGDownload(
+ start_date=start_date,
+ end_date=end_date,
+ start_time=start_time,
+ end_time=end_time,
+ daily_window_t0=daily_window_t0,
+ daily_window_t1=daily_window_t1,
+ time_step=time_step,
+ save_dir=Path(save_dir).joinpath("msg"),
+ )
+ logger.info("Downloading MSG Data...")
+ msg_filenames = dc_msg_download.download()
+ logger.info("Done!")
+ if cloud_mask:
+ logger.info("Downloading MSG Cloud Mask...")
+ msg_filenames = dc_msg_download.download_cloud_mask()
+ logger.info("Done!")
+
+ logger.info("Finished MSG Downloading Script...")
+
+if __name__ == '__main__':
+ typer.run(download)
\ No newline at end of file
diff --git a/rs_tools/_src/geoprocessing/goes/__init__.py b/rs_tools/_src/geoprocessing/goes/__init__.py
index e69de29..538362f 100644
--- a/rs_tools/_src/geoprocessing/goes/__init__.py
+++ b/rs_tools/_src/geoprocessing/goes/__init__.py
@@ -0,0 +1,61 @@
+from datetime import datetime, timedelta
+from pathlib import Path
+
+# All wavelengths in micrometers
+GOES_WAVELENGTHS = {
+ "1": 0.47,
+ "2": 0.64,
+ "3": 0.865,
+ "4": 1.378,
+ "5": 1.61,
+ "6": 2.25,
+ "7": 3.9,
+ "8": 6.19,
+ "9": 6.95,
+ "10": 7.34,
+ "11": 8.5,
+ "12": 9.61,
+ "13": 10.35,
+ "14": 11.2,
+ "15": 12.3,
+ "16": 13.3,
+}
+
+def parse_goes16_dates_from_file(file: str):
+ """
+ Parses the date and time information from a GOES-16 file name.
+
+ Args:
+ file (str): The file name to parse.
+
+ Returns:
+ str: The parsed date and time in the format 'YYYYJJJHHMM'.
+ """
+ timestamp = Path(file).name.replace("-", "_").split("_")
+
+ return datetime.strptime(timestamp[-3][1:], "%Y%j%H%M%S%f").strftime("%Y%j%H%M%S")
+
+def format_goes_dates(time: str) -> str:
+ """
+ Function to format the date/time string.
+
+ Args:
+ time (str): The time string to be formatted.
+
+ Returns:
+ str: The formatted time string.
+ """
+
+ # Split the string into date and time parts
+ date_str, time_str = time[:7], time[7:]
+ # Convert the date part to a datetime object
+ date = datetime.strptime(date_str, "%Y%j")
+
+ # Convert the time part to a timedelta object
+ time = timedelta(hours=int(time_str[:2]), minutes=int(time_str[2:4]), seconds=int(time_str[4:6]))
+ # Add the date and time parts to get a datetime object
+ dt = date + time
+ # Convert the datetime object to a string in the format "YYYYMMDDHHMMSS"
+ str_time = dt.strftime("%Y%m%d%H%M%S")
+
+ return str_time
diff --git a/rs_tools/_src/geoprocessing/goes/geoprocessor_goes16.py b/rs_tools/_src/geoprocessing/goes/geoprocessor_goes16.py
new file mode 100644
index 0000000..6935978
--- /dev/null
+++ b/rs_tools/_src/geoprocessing/goes/geoprocessor_goes16.py
@@ -0,0 +1,356 @@
+import autoroot
+import os
+import numpy as np
+import rioxarray
+from pathlib import Path
+from dataclasses import dataclass
+from typing import Optional, List, Union, Tuple
+from tqdm import tqdm
+from rs_tools._src.utils.io import get_list_filenames
+import typer
+from loguru import logger
+import xarray as xr
+from rs_tools._src.geoprocessing.interp import resample_rioxarray
+from rs_tools._src.geoprocessing.goes import parse_goes16_dates_from_file, format_goes_dates
+from rs_tools._src.geoprocessing.goes.validation import correct_goes16_bands, correct_goes16_satheight
+from rs_tools._src.geoprocessing.goes.reproject import add_goes16_crs
+from rs_tools._src.geoprocessing.reproject import convert_lat_lon_to_x_y, calc_latlon
+from rs_tools._src.geoprocessing.utils import check_sat_FOV
+import pandas as pd
+import dask
+import warnings
+
+dask.config.set(**{'array.slicing.split_large_chunks': False})
+warnings.filterwarnings('ignore', category=FutureWarning)
+
+# TODO: Add unit conversion?
+@dataclass
+class GOES16GeoProcessing:
+ """
+ A class for geoprocessing GOES-16 data.
+
+ Attributes:
+ resolution (float): The resolution in meters.
+ read_path (str): The path to read the files from.
+ save_path (str): The path to save the processed files to.
+ region (Tuple[str]): The region of interest defined by the bounding box coordinates (lon_min, lat_min, lon_max, lat_max).
+ resample_method (str): The resampling method to use.
+
+ Methods:
+ goes_files(self) -> List[str]: Returns a list of all GOES files in the read path.
+ preprocess_fn(self, ds: xr.Dataset) -> Tuple[xr.Dataset, xr.Dataset]: Preprocesses the input dataset by applying corrections, subsetting, and resampling.
+ preprocess_fn_radiances(self, ds: xr.Dataset) -> xr.Dataset: Preprocesses the input dataset for radiances.
+ preprocess_fn_cloudmask(self, ds: xr.Dataset) -> xr.Dataset: Preprocesses the input dataset for cloud mask.
+ preprocess_files(self): Preprocesses the files in the read path and saves the processed files to the save path.
+ preprocess_radiances(self, files: List[str]) -> xr.Dataset: Preprocesses the radiances from the input files.
+ preprocess_cloud_mask(self, files: List[str]) -> xr.Dataset: Preprocesses the cloud mask from the input files.
+ """
+ resolution: float
+ read_path: str
+ save_path: str
+ region: Optional[Tuple[int, int, int, int]]
+ resample_method: str
+
+ @property
+ def goes_files(self) -> List[str]:
+ """
+ Returns a list of all GOES files in the read path.
+
+ Returns:
+ List[str]: A list of file paths.
+ """
+ # get a list of all GOES files from specified path
+ files = get_list_filenames(self.read_path, ".nc")
+ return files
+
+ def preprocess_fn(self, ds: xr.Dataset) -> Tuple[xr.Dataset, xr.Dataset]:
+ """
+ Preprocesses the input dataset by applying corrections, subsetting, and resampling etc.
+
+ Args:
+ ds (xr.Dataset): The input dataset.
+
+ Returns:
+ Tuple[xr.Dataset, xr.Dataset]: The preprocessed dataset and the original dataset.
+ """
+ # copy to avoid modifying original dataset
+ ds = ds.copy()
+
+ # convert measurement angles to horizontal distance in meters
+ ds = correct_goes16_satheight(ds)
+ try:
+ # correct band coordinates to reorganize xarray dataset
+ ds = correct_goes16_bands(ds)
+ except AttributeError:
+ pass
+ # assign coordinate reference system
+ ds = add_goes16_crs(ds)
+
+ if self.region is not None:
+ logger.info(f"Subsetting data to region: {self.region}")
+ # subset data
+ lon_bnds = (self.region[0], self.region[2])
+ lat_bnds = (self.region[1], self.region[3])
+ # convert lat lon bounds to x y (in meters)
+ x_bnds, y_bnds = convert_lat_lon_to_x_y(ds.FOV.crs, lon=lon_bnds, lat=lat_bnds, )
+ # check that region is within the satellite field of view
+ # compile satellite FOV
+ satellite_FOV = (min(ds.x.values), min(ds.y.values), max(ds.x.values), max(ds.y.values))
+ # compile region bounds in x y
+ region_xy = (x_bnds[0], y_bnds[0], x_bnds[1], y_bnds[1])
+ if not check_sat_FOV(region_xy, FOV=satellite_FOV):
+ raise ValueError("Region is not within the satellite field of view")
+
+ ds = ds.sortby("x").sortby("y")
+ # slice based on x y bounds
+ ds_subset = ds.sel(y=slice(y_bnds[0], y_bnds[1]), x=slice(x_bnds[0], x_bnds[1]))
+ else:
+ ds_subset = ds
+
+ if self.resolution is not None:
+ logger.info(f"Resampling data to resolution: {self.resolution} m")
+ # resampling
+ ds_subset = resample_rioxarray(ds_subset, resolution=(self.resolution, self.resolution), method=self.resample_method)
+
+ # assign coordinates
+ ds_subset = calc_latlon(ds_subset)
+
+ return ds_subset, ds
+
+ def preprocess_fn_radiances(self, ds: xr.Dataset) -> xr.Dataset:
+ """
+ Preprocesses the GOES16 radiance dataset.
+
+ Args:
+ ds (xr.Dataset): The input dataset.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ variables = ["Rad", "DQF"] # "Rad" = radiance, "DQF" = data quality flag
+
+ # do core preprocess function (e.g. to correct band coordinates, subset data, resample, etc.)
+ ds_subset, ds = self.preprocess_fn(ds)
+
+ # select relevant variables
+ ds_subset = ds_subset[variables]
+ # convert measurement time (in seconds) to datetime
+ time_stamp = pd.to_datetime(ds.t.values)
+ time_stamp = time_stamp.strftime("%Y-%m-%d %H:%M")
+ # assign bands data to each variable
+ ds_subset[variables] = ds_subset[variables].expand_dims({"band": ds.band.values})
+ # attach time coordinate
+ ds_subset = ds_subset.assign_coords({"time": [time_stamp]})
+ # drop variables that will no longer be needed
+ ds_subset = ds_subset.drop_vars(["t", "y_image", "x_image", "goes_imager_projection"])
+ # assign band attributes to dataset
+ ds_subset.band.attrs = ds.band.attrs
+ # TODO: Correct wavelength assignment. This attaches 16 wavelengths to each band.
+ # assign band wavelength to each variable
+ ds_subset = ds_subset.assign_coords({"band_wavelength": ds.band_wavelength.values})
+ ds_subset.band_wavelength.attrs = ds.band_wavelength.attrs
+
+ return ds_subset
+
+ def preprocess_fn_cloudmask(self, ds: xr.Dataset) -> xr.Dataset:
+ """
+ Preprocesses the input dataset for GOES16 cloud masks.
+
+ Args:
+ ds (xr.Dataset): The input dataset.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ variables = ["BCM"]
+
+ # do core preprocess function
+ ds_subset, ds = self.preprocess_fn(ds)
+
+ # select relevant variable
+ ds_subset = ds_subset[variables]
+ # convert measurement time (in seconds) to datetime
+ time_stamp = pd.to_datetime(ds.t.values)
+ time_stamp = time_stamp.strftime("%Y-%m-%d %H:%M")
+ # assign time data to variable
+ ds_subset = ds_subset.assign_coords({"time": [time_stamp]})
+ # drop variables that will no longer be needed
+ ds_subset = ds_subset.drop_vars(["t", "y_image", "x_image", "goes_imager_projection"])
+
+ return ds_subset
+
+ def preprocess_radiances(self, files: List[str]) -> xr.Dataset:
+ """
+ Preprocesses radiances from the input files.
+
+ Args:
+ files (List[str]): The list of file paths.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ # Check that all files contain radiance data
+ files = list(filter(lambda x: "Rad" in x, files))
+
+ # Check that all 16 bands are present
+ logger.info(f"Number of radiance files: {len(files)}")
+ assert len(files) == 16
+
+ # open multiple files as a single dataset
+ ds = [xr.open_mfdataset(ifile, preprocess=self.preprocess_fn_radiances, concat_dim="band", combine="nested") for
+ ifile in files]
+ # reinterpolate to match coordinates of the first image
+ ds = [ds[0]] + [ids.interp(x=ds[0].x, y=ds[0].y) for ids in ds[1:]]
+ # concatenate in new band dimension
+ ds = xr.concat(ds, dim="band")
+
+ # NOTE: Keep only certain relevant attributes
+ attrs_rad = ds["Rad"].attrs
+
+ ds["Rad"].attrs = {}
+ ds["Rad"].attrs = dict(
+ long_name=attrs_rad["long_name"],
+ standard_name=attrs_rad["standard_name"],
+ units=attrs_rad["units"],
+ )
+ ds["DQF"].attrs = {}
+
+ return ds
+
+ def preprocess_cloud_mask(self, files: List[str]) -> xr.Dataset:
+ """
+ Preprocesses cloud mask from the input files.
+
+ Args:
+ files (List[str]): The list of file paths.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ # Check that all files contain cloud mask data
+ files = list(filter(lambda x: "ACMF" in x, files))
+
+ # Check that only one file is present
+ logger.info(f"Number of cloud mask files: {len(files)}")
+ assert len(files) == 1
+
+ # open multiple files as a single dataset
+ ds = xr.open_mfdataset(files[0])
+ ds = self.preprocess_fn_cloudmask(ds)
+
+ # NOTE: Keep only certain relevant attributes
+ attrs_bcm = ds["BCM"].attrs
+ ds = ds.rename({"BCM": "cloud_mask"})
+ ds["cloud_mask"].attrs = {}
+ ds["cloud_mask"].attrs = dict(
+ long_name=attrs_bcm["long_name"],
+ standard_name=attrs_bcm["standard_name"],
+ units=attrs_bcm["units"],
+ )
+
+ return ds
+
+ def preprocess_files(self):
+ """
+ Preprocesses multiple files in read path and saves processed files to save path.
+ """
+ # get unique times from read path
+ unique_times = list(set(map(parse_goes16_dates_from_file, self.goes_files)))
+
+ pbar_time = tqdm(unique_times)
+
+ for itime in pbar_time:
+
+ pbar_time.set_description(f"Processing: {itime}")
+
+ # get files from unique times
+ files = list(filter(lambda x: itime in x, self.goes_files))
+
+ try:
+ # load radiances
+ ds = self.preprocess_radiances(files)
+ except AssertionError:
+ logger.error(f"Skipping {itime} due to missing bands")
+ continue
+ try:
+ # load cloud mask
+ ds_clouds = self.preprocess_cloud_mask(files)["cloud_mask"]
+ except AssertionError:
+ logger.error(f"Skipping {itime} due to missing cloud mask")
+ continue
+
+ # interpolate cloud mask to data
+ ds_clouds = ds_clouds.interp(x=ds.x, y=ds.y)
+ # save cloud mask as data coordinate
+ ds = ds.assign_coords({"cloud_mask": (("y", "x"), ds_clouds.values.squeeze())})
+ ds["cloud_mask"].attrs = ds_clouds.attrs
+
+ # check if save path exists, and create if not
+ if not os.path.exists(self.save_path):
+ os.makedirs(self.save_path)
+
+ # remove file if it already exists
+ itime_name = format_goes_dates(itime)
+ save_filename = Path(self.save_path).joinpath(f"{itime_name}_goes16.nc")
+ if os.path.exists(save_filename):
+ logger.info(f"File already exists. Overwriting file: {save_filename}")
+ os.remove(save_filename)
+ # save to netcdf
+ ds.to_netcdf(save_filename, engine="netcdf4")
+
+
+def geoprocess(
+ resolution: float = None, # defined in meters
+ read_path: str = "./",
+ save_path: str = "./",
+ region: str = None,
+ resample_method: str = "bilinear",
+):
+ """
+ Geoprocesses GOES 16 files
+
+ Args:
+ resolution (float, optional): The resolution in meters to resample data to. Defaults to None.
+ read_path (str, optional): The path to read the files from. Defaults to "./".
+ save_path (str, optional): The path to save the geoprocessed files to. Defaults to "./".
+ region (str, optional): The geographic region to extract ("lon_min, lat_min, lon_max, lat_max"). Defaults to None.
+ resample_method (str, optional): The resampling method to use. Defaults to "bilinear".
+
+ Returns:
+ None
+ """
+ # Initialize GOES 16 GeoProcessor
+ logger.info(f"Initializing GOES16 GeoProcessor...")
+ # Extracting region from str
+ if region is not None:
+ region = tuple(map(lambda x: int(x), region.split(" ")))
+
+ goes16_geoprocessor = GOES16GeoProcessing(
+ resolution=resolution,
+ read_path=read_path,
+ save_path=save_path,
+ region=region,
+ resample_method=resample_method
+ )
+ logger.info(f"GeoProcessing Files...")
+ goes16_geoprocessor.preprocess_files()
+
+ logger.info(f"Finished GOES 16 GeoProcessing Script...!")
+
+
+if __name__ == '__main__':
+ """
+ # =========================
+ # Test Cases
+ # =========================
+ python geoprocessor_goes16.py --read-path "/home/data" --save-path /home/data/goes/geoprocessed
+ python geoprocessor_goes16.py --read-path "/home/data" --save-path /home/data/goes/geoprocessed --resolution 1000
+ python geoprocessor_goes16.py --read-path "/home/data" --save-path /home/data/goes/geoprocessed --resolution 5000
+ python geoprocessor_goes16.py --read-path "/home/data" --save-path /home/data/goes/geoprocessed --resolution 5000 --region -130 -15 -90 5
+
+ # =========================
+ # FAILURE TEST CASES
+ # =========================
+ python geoprocessor_goes16.py --read-path "/home/data" --save-path /home/data/goes/geoprocessed --resolution 5000 --region -200 -15 90 5
+ """
+ typer.run(geoprocess)
diff --git a/rs_tools/_src/geoprocessing/goes/interp.py b/rs_tools/_src/geoprocessing/goes/interp.py
index 14cb3cc..ca33f0b 100644
--- a/rs_tools/_src/geoprocessing/goes/interp.py
+++ b/rs_tools/_src/geoprocessing/goes/interp.py
@@ -11,7 +11,7 @@
"nearest": Resampling.nearest,
}
-
+# NOTE: This function has been copied outside of the satellite-specific folders
def resample_rioxarray(ds: xr.Dataset, resolution: int=1_000, method: str="bilinear") -> xr.Dataset:
"""
Resamples a raster dataset using rasterio-xarray.
diff --git a/rs_tools/_src/geoprocessing/goes/validation.py b/rs_tools/_src/geoprocessing/goes/validation.py
index 92c113f..f6c9faf 100644
--- a/rs_tools/_src/geoprocessing/goes/validation.py
+++ b/rs_tools/_src/geoprocessing/goes/validation.py
@@ -3,6 +3,15 @@
def correct_goes16_satheight(ds: xr.Dataset) -> xr.Dataset:
+ """
+ Convert measurement angle of GOES-16 satellite data to horizontal distance (in meters).
+
+ Parameters:
+ - ds (xr.Dataset): The input dataset containing the GOES-16 satellite data.
+
+ Returns:
+ - xr.Dataset: The dataset with corrected perspective height.
+ """
# get perspective height
sat_height = ds.goes_imager_projection.attrs["perspective_point_height"]
@@ -22,7 +31,16 @@ def correct_goes16_satheight(ds: xr.Dataset) -> xr.Dataset:
def correct_goes16_bands(ds: xr.Dataset) -> xr.Dataset:
+ """
+ Corrects the band coordinates in a GOES-16 dataset.
+
+ Parameters:
+ ds (xr.Dataset): The input dataset containing GOES-16 bands.
+
+ Returns:
+ xr.Dataset: The corrected dataset with updated band coordinates.
+ """
# reassign coordinate
band_id_attrs = ds.band_id.attrs
ds = ds.assign_coords(band=ds.band_id.values)
diff --git a/rs_tools/_src/geoprocessing/interp.py b/rs_tools/_src/geoprocessing/interp.py
new file mode 100644
index 0000000..db04260
--- /dev/null
+++ b/rs_tools/_src/geoprocessing/interp.py
@@ -0,0 +1,34 @@
+# populates the search tree
+import rioxarray
+import xarray as xr
+from rasterio.enums import Resampling
+from typing import Tuple
+
+
+rioxarray_samplers = {
+ "bilinear": Resampling.bilinear,
+ "cubic": Resampling.cubic,
+ "cubic_spline": Resampling.cubic_spline,
+ "nearest": Resampling.nearest,
+}
+
+# NOTE: This function has been copied outside of the satellite-specific folders
+def resample_rioxarray(ds: xr.Dataset, resolution: Tuple[int, int]=(1_000, 1_000), method: str="bilinear") -> xr.Dataset:
+ """
+ Resamples a raster dataset using rasterio-xarray.
+
+ Parameters:
+ ds (xr.Dataset): The input dataset to be resampled.
+ resolution (int): The desired resolution of the resampled dataset. Default is 1_000.
+ method (str): The resampling method to be used. Default is "bilinear".
+
+ Returns:
+ xr.Dataset: The resampled dataset.
+ """
+
+ ds = ds.rio.reproject(
+ ds.rio.crs,
+ resolution=resolution,
+ resample=rioxarray_samplers[method],
+ )
+ return ds
diff --git a/rs_tools/_src/geoprocessing/match.py b/rs_tools/_src/geoprocessing/match.py
new file mode 100644
index 0000000..c1b5e4b
--- /dev/null
+++ b/rs_tools/_src/geoprocessing/match.py
@@ -0,0 +1,43 @@
+from typing import Union, List, Dict, Tuple
+import numpy as np
+import pandas as pd
+from loguru import logger
+
+def match_timestamps(times_data: List[str], times_clouds: List[str], cutoff: int=15) -> pd.DataFrame:
+ """
+ Matches timestamps of data and cloudmask files, if not measured at exactly the same time.
+
+ Args:
+ times_data (List[str]): Timestamps of data files.
+ times_clouds (List[str]): Timestamps of the cloud mask files.
+ cutoff (str, optional): Maximum time difference in minutes to consider a match. Defaults to 15.
+
+ Returns:
+ pd.DataFrame: A DataFrame with the matched timestamps.
+ """
+ # Convert timestamps to datetime objects
+ timestamps_data = pd.to_datetime(times_data)
+ timestamps_clouds = pd.to_datetime(times_clouds)
+
+ matches_data = []
+ matches_clouds = []
+
+ # Loop through timestamps of data files
+ for time in timestamps_data:
+ # Find closest timestamp in cloud mask files
+ closest_time = timestamps_clouds[
+ np.abs((timestamps_clouds - time).total_seconds()).argmin()
+ ]
+ # Check if the closest timestamp is within the cutoff time
+ if np.abs((closest_time - time).total_seconds()) <= pd.Timedelta(f'{cutoff}min').total_seconds():
+ matches_data.append(time.strftime("%Y%m%d%H%M%S"))
+ matches_clouds.append(closest_time.strftime("%Y%m%d%H%M%S"))
+ else:
+ logger.info(f"No matching cloud mask found for {time}")
+
+ matched_times = pd.DataFrame({
+ "timestamps_data": matches_data,
+ "timestamps_cloudmask": matches_clouds
+ })
+
+ return matched_times
diff --git a/rs_tools/_src/geoprocessing/modis/__init__.py b/rs_tools/_src/geoprocessing/modis/__init__.py
index 6c9315f..3da3477 100644
--- a/rs_tools/_src/geoprocessing/modis/__init__.py
+++ b/rs_tools/_src/geoprocessing/modis/__init__.py
@@ -1,4 +1,5 @@
-
+from pathlib import Path
+from datetime import datetime, timedelta
MODIS_1KM_VARIABLES = {
"EV_1KM_Emissive": [20,21,22,23,24,25,27,28,29,30,31,32,33,34,35,36],
@@ -6,3 +7,87 @@
"EV_250_Aggr1km_RefSB": [1,2],
"EV_500_Aggr1km_RefSB": [3,4,5,6,7],
}
+
+# All given in micrometers
+# Central wavelength calculated as mean of range
+MODIS_WAVELENGTHS = {
+ "1": 0.645,
+ "2": 0.8585,
+ "3": 0.469,
+ "4": 0.555,
+ "5": 1.24,
+ "6": 1.64,
+ "7": 2.13,
+ "8": 0.4125,
+ "9": 0.443,
+ "10": 0.488,
+ "11": 0.531,
+ "12": 0.551,
+ "13lo": 0.667,
+ "13hi": 0.667,
+ "14lo": 0.678,
+ "14hi": 0.678,
+ "15": 0.748,
+ "16": 0.8695,
+ "17": 0.905,
+ "18": 0.936,
+ "19": 0.940,
+ "20": 3.75,
+ "21": 3.959,
+ "22": 3.959,
+ "23": 4.05,
+ "24": 4.4655,
+ "25": 4.5155,
+ "26": 1.375,
+ "27": 6.715,
+ "28": 7.325,
+ "29": 8.55,
+ "30": 9.73,
+ "31": 11.03,
+ "32": 12.02,
+ "33": 13.335,
+ "34": 13.635,
+ "35": 13.935,
+ "36": 14.235,
+}
+
+def parse_modis_dates_from_file(file: str):
+ """
+ Parses the date and time information from a MODIS file name.
+
+ Args:
+ file (str): The file name to parse.
+
+ Returns:
+ str: The parsed date and time in the format 'YYYYJJJHHMM'.
+ """
+ # get the date from the file
+ date = Path(file).name.split(".")[1][1:]
+ # get the time from the file
+ time = Path(file).name.split(".")[2]
+ datetime_str = f"{date}.{time}"
+
+ return datetime_str
+
+def format_modis_dates(time: str) -> str:
+ """
+ Function to format the date/time string.
+
+ Args:
+ time (str): The time string to be formatted.
+
+ Returns:
+ str: The formatted time string.
+ """
+ # Split the string into date and time parts
+ date_str, time_str = time.split(".")
+ # Convert the date part to a datetime object
+ date = datetime.strptime(date_str, "%Y%j")
+ # Convert the time part to a timedelta object
+ time = timedelta(hours=int(time_str[:2]), minutes=int(time_str[2:]))
+ # Add the date and time parts to get a datetime object
+ dt = date + time
+ # Convert the datetime object to a string in the format "YYYYMMDDHHMMSS"
+ str_time = dt.strftime("%Y%m%d%H%M%S")
+
+ return str_time
diff --git a/rs_tools/_src/geoprocessing/modis/geoprocessor_modis.py b/rs_tools/_src/geoprocessing/modis/geoprocessor_modis.py
new file mode 100644
index 0000000..7591cb5
--- /dev/null
+++ b/rs_tools/_src/geoprocessing/modis/geoprocessor_modis.py
@@ -0,0 +1,319 @@
+import autoroot
+import os
+import numpy as np
+from xrpatcher._src.base import XRDAPatcher
+import rioxarray
+from pathlib import Path
+from dataclasses import dataclass
+from typing import Optional, List, Union, Tuple
+from tqdm import tqdm
+from rs_tools import modis_download, MODIS_VARIABLES, get_modis_channel_numbers
+from rs_tools._src.geoprocessing.interp import resample_rioxarray
+from rs_tools._src.utils.io import get_list_filenames
+from rs_tools._src.geoprocessing.grid import create_latlon_grid
+import typer
+from loguru import logger
+import xarray as xr
+from satpy import Scene
+import datetime
+from rs_tools._src.data.modis import MODISFileName, MODIS_ID_TO_NAME, MODIS_NAME_TO_ID, get_modis_paired_files
+from rs_tools._src.geoprocessing.modis.reproject import add_modis_crs
+from rs_tools._src.geoprocessing.modis import MODIS_WAVELENGTHS, parse_modis_dates_from_file, format_modis_dates
+import pandas as pd
+from datetime import datetime
+from pathlib import Path
+import dask
+import warnings
+
+dask.config.set(**{'array.slicing.split_large_chunks': False})
+warnings.filterwarnings('ignore', category=FutureWarning)
+
+@dataclass
+class MODISGeoProcessing:
+ satellite: str
+ read_path: str
+ save_path: str
+ """
+ A class for geoprocessing MODIS data.
+
+ Attributes:
+ satellite (str): The satellite to geoprocess data for.
+ read_path (str): The path to read the files from.
+ save_path (str): The path to save the processed files to.
+
+ Methods:
+ modis_files(self) -> List[str]: Returns a list of all MODIS files in the read path.
+ preprocess_fn(self, ds: xr.Dataset) -> Tuple[xr.Dataset, xr.Dataset]: Preprocesses the input dataset by applying corrections.
+ preprocess_fn_radiances(self, ds: xr.Dataset) -> xr.Dataset: Preprocesses the input dataset for radiances.
+ preprocess_fn_cloudmask(self, ds: xr.Dataset) -> xr.Dataset: Preprocesses the input dataset for cloud mask.
+ preprocess_files(self): Preprocesses the files in the read path and saves the processed files to the save path.
+ preprocess_radiances(self, files: List[str]) -> xr.Dataset: Preprocesses the radiances from the input files.
+ preprocess_cloud_mask(self, files: List[str]) -> xr.Dataset: Preprocesses the cloud mask from the input files.
+ """
+ @property
+ def modis_files(self) -> List[str]:
+ """
+ Returns a list of all MODIS files in the read path.
+
+ Returns:
+ List[str]: A list of file paths.
+ """
+ # get a list of all MODIS filenames within the path
+ files = get_list_filenames(self.read_path, ".hdf")
+ return files
+
+ def preprocess_fn(self, ds: xr.Dataset) -> Tuple[xr.Dataset, xr.Dataset]:
+ """
+ Preprocesses the input dataset by applying corrections etc.
+
+ Args:
+ ds (xr.Dataset): The input dataset.
+
+ Returns:
+ ds (xr.Dataset):: The preprocessed dataset.
+ """
+ # copy to avoid modifying original dataset
+ ds = ds.copy()
+
+ # assign coordinate reference system
+ ds = add_modis_crs(ds)
+
+ # TODO: Add functionality to resample data to specific resolution
+
+ return ds
+
+ def preprocess_fn_radiances(self, file: List[str]) -> xr.Dataset:
+ """
+ Preprocesses the MODIS radiance dataset.
+
+ Args:
+ file (List[str]): The input file.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ # Load file using satpy scenes
+ scn = Scene(
+ reader="modis_l1b",
+ filenames=file
+ )
+ # Load radiance bands
+ channels = get_modis_channel_numbers()
+ scn.load(channels, generate=False, calibration='radiance')
+
+ # change to xarray data
+ ds = scn.to_xarray_dataset()
+
+ # do core preprocess function (e.g. resample, add crs etc.)
+ ds = self.preprocess_fn(ds)
+
+ # Store the attributes in a dict before concatenation
+ attrs_dict = {x: ds[x].attrs for x in channels}
+
+ # concatinate in new band dimension, and defining a new variable name
+ # NOTE: Concatination overwrites attrs of bands.
+ ds = ds.assign(Rad=xr.concat(list(map(lambda x: ds[x], channels)), dim="band"))
+ # drop duplicate variables
+ ds = ds.drop(list(map(lambda x: x, channels)))
+ # rename band dimensions
+ ds = ds.assign_coords(band=list(map(lambda x: x, channels)))
+
+ # convert measurement time (in seconds) to datetime
+ time_stamp = pd.to_datetime(ds.attrs['start_time'])
+ time_stamp = time_stamp.strftime("%Y-%m-%d %H:%M")
+ # assign bands and time data to each variable
+ ds = ds.assign_coords({"time": [time_stamp]})
+
+ # NOTE: Keep only certain relevant attributes
+ ds.attrs = {}
+ ds.attrs = dict(
+ calibration=attrs_dict[list(attrs_dict.keys())[0]]["calibration"],
+ standard_name=attrs_dict[list(attrs_dict.keys())[0]]["standard_name"],
+ platform_name=attrs_dict[list(attrs_dict.keys())[0]]["platform_name"],
+ sensor=attrs_dict[list(attrs_dict.keys())[0]]["sensor"],
+ units=attrs_dict[list(attrs_dict.keys())[0]]["units"],
+ )
+
+ # TODO: Correct wavelength assignment. This attaches 36++ wavelengths to each band.
+ # assign band wavelengths
+ ds = ds.assign_coords({"band_wavelength": list(MODIS_WAVELENGTHS.values())})
+
+ return ds
+
+ def preprocess_fn_cloudmask(self, file: List[str]) -> xr.Dataset:
+ """
+ Preprocesses the input dataset for MODIS cloud masks.
+
+ Args:
+ file (List[str]): The input file.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ # Load file using satpy scenes
+ scn = Scene(
+ reader="modis_l2",
+ filenames=file
+ )
+ # Load cloud mask data
+ datasets = scn.available_dataset_names()
+ # Needs to be loaded at 1000 m resolution for all channels to match
+ scn.load(datasets, generate=False, resolution=1000)
+
+ # change to xarray data
+ ds = scn.to_xarray_dataset()
+
+ return ds
+
+ def preprocess_radiances(self, files: List[str]) -> xr.Dataset:
+ """
+ Preprocesses radiances from the input files.
+
+ Args:
+ files (List[str]): The list of file paths.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ identifier = MODIS_NAME_TO_ID[self.satellite]
+
+ # Check that all files contain radiance data
+ file = list(filter(lambda x: identifier in x, files))
+
+ # Check that only one file is selected
+ logger.info(f"Number of radiance files: {len(file)}")
+ assert len(file) == 1
+
+ # load file using satpy, convert to xarray dataset, and preprocess
+ ds = self.preprocess_fn_radiances(file)
+
+ return ds
+
+
+ def preprocess_cloud_mask(self, files: List[str]) -> xr.Dataset:
+ """
+ Preprocesses cloud mask from the input files.
+
+ Args:
+ files (List[str]): The list of file paths.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ identifier = MODIS_NAME_TO_ID[f'{self.satellite}_cloud']
+
+ # Check that all files contain radiance data
+ file = list(filter(lambda x: identifier in x, files))
+
+ # Check that only one file is selected
+ logger.info(f"Number of cloud mask files: {len(file)}")
+ assert len(file) == 1
+
+ # load file using satpy, convert to xarray dataset, and preprocess
+ ds = self.preprocess_fn_cloudmask(file)
+
+ return ds
+
+
+ def preprocess_files(self):
+ """
+ Preprocesses multiple files in read path and saves processed files to save path.
+ """
+ # get unique times from read path
+ unique_times = list(set(map(parse_modis_dates_from_file, self.modis_files)))
+
+ pbar_time = tqdm(unique_times)
+
+ for itime in pbar_time:
+
+ pbar_time.set_description(f"Processing: {itime}")
+
+ # get files from unique times
+ files = list(filter(lambda x: itime in x, self.modis_files))
+
+ try:
+ # load radiances
+ ds = self.preprocess_radiances(files)
+ except AssertionError:
+ logger.error(f"Skipping {itime} due to error loading")
+ continue
+ try:
+ # load cloud mask
+ ds_clouds = self.preprocess_cloud_mask(files)["cloud_mask"]
+ except AssertionError:
+ logger.error(f"Skipping {itime} due to missing cloud mask")
+ continue
+
+ # save cloud mask as data coordinate
+ ds = ds.assign_coords({"cloud_mask": (("y", "x"), ds_clouds.values)})
+ # add cloud mask attrs to dataset
+ ds["cloud_mask"].attrs = ds_clouds.attrs
+
+ # remove crs from dataset
+ ds = ds.drop_vars("crs")
+ ds = ds.drop_vars("spatial_ref")
+
+ # remove attrs that cause netcdf error
+ for attr in ["start_time", "end_time", "area", "_satpy_id"]:
+ ds["cloud_mask"].attrs.pop(attr)
+
+ for var in ds.data_vars:
+ ds[var].attrs = {}
+
+ # check if save path exists, and create if not
+ if not os.path.exists(self.save_path):
+ os.makedirs(self.save_path)
+
+ # remove file if it already exists
+ itime_name = format_modis_dates(itime)
+ save_filename = Path(self.save_path).joinpath(f"{itime_name}_{self.satellite}.nc")
+ if os.path.exists(save_filename):
+ logger.info(f"File already exists. Overwriting file: {save_filename}")
+ os.remove(save_filename)
+
+ # save to netcdf
+ ds.to_netcdf(save_filename, engine="netcdf4")
+
+def geoprocess(
+ satellite: str,
+ read_path: str = "./",
+ save_path: str = "./"
+):
+ """
+ Geoprocesses MODIS files
+
+ Args:
+ satellite (str, optional): The satellite of the data to geoprocess.
+ read_path (str, optional): The path to read the files from. Defaults to "./".
+ save_path (str, optional): The path to save the geoprocessed files to. Defaults to "./".
+
+ Returns:
+ None
+ """
+ # Initialize MODIS GeoProcessor
+ logger.info(f"Initializing {satellite.upper()} GeoProcessor...")
+
+ modis_geoprocessor = MODISGeoProcessing(
+ satellite=satellite,
+ read_path=read_path,
+ save_path=save_path
+ )
+ logger.info(f"GeoProcessing Files...")
+ modis_geoprocessor.preprocess_files()
+
+ logger.info(f"Finished {satellite.upper()} GeoProcessing Script...!")
+
+
+if __name__ == '__main__':
+ """
+ # =========================
+ # Test Cases
+ # =========================
+ python geoprocessor_modis.py --satellite aqua --read-path "/home/data" --save-path /home/data/modis/geoprocessed
+ python geoprocessor_modis.py --satellite terra --read-path "/home/data" --save-path /home/data/modis/geoprocessed
+
+ # =========================
+ # FAILURE TEST CASES
+ # =========================
+ """
+ typer.run(geoprocess)
diff --git a/rs_tools/_src/geoprocessing/modis/reproject.py b/rs_tools/_src/geoprocessing/modis/reproject.py
new file mode 100644
index 0000000..5b894d8
--- /dev/null
+++ b/rs_tools/_src/geoprocessing/modis/reproject.py
@@ -0,0 +1,25 @@
+import xarray as xr
+import rioxarray
+from pyproj import CRS
+
+
+def add_modis_crs(ds: xr.Dataset) -> xr.Dataset:
+ """
+ Adds the Coordinate Reference System (CRS) to the given MODIS dataset.
+
+ Parameters:
+ - ds (xarray.Dataset): The dataset to which the CRS will be added.
+
+ Returns:
+ - xarray.Dataset: The dataset with the CRS added.
+ """
+ # define CRS of MODIS dataset
+ crs = 'WGS84'
+
+ # load source CRS from the WKT string
+ cc = CRS(crs)
+
+ # assign CRS to dataarray
+ ds.rio.write_crs(cc, inplace=True)
+
+ return ds
\ No newline at end of file
diff --git a/rs_tools/_src/geoprocessing/msg/__init__.py b/rs_tools/_src/geoprocessing/msg/__init__.py
index e69de29..4b93a58 100644
--- a/rs_tools/_src/geoprocessing/msg/__init__.py
+++ b/rs_tools/_src/geoprocessing/msg/__init__.py
@@ -0,0 +1,14 @@
+# All wavelengths in micrometers
+MSG_WAVELENGTHS = {
+ 'IR_016': 1.64,
+ 'IR_039': 3.92,
+ 'IR_087': 8.70,
+ 'IR_097': 9.66,
+ 'IR_108': 10.80,
+ 'IR_120': 12.00,
+ 'IR_134': 13.40,
+ 'VIS006': 0.64,
+ 'VIS008': 0.81,
+ 'WV_062': 6.25,
+ 'WV_073': 7.35
+}
\ No newline at end of file
diff --git a/rs_tools/_src/geoprocessing/msg/geoprocessor_msg.py b/rs_tools/_src/geoprocessing/msg/geoprocessor_msg.py
new file mode 100644
index 0000000..629b765
--- /dev/null
+++ b/rs_tools/_src/geoprocessing/msg/geoprocessor_msg.py
@@ -0,0 +1,388 @@
+import autoroot
+import os
+import numpy as np
+import rioxarray
+from pathlib import Path
+from dataclasses import dataclass
+from typing import Optional, List, Union, Tuple
+from tqdm import tqdm
+from rs_tools._src.utils.io import get_list_filenames
+import typer
+import pygrib
+from loguru import logger
+import xarray as xr
+import datetime
+from satpy import Scene
+from rs_tools._src.geoprocessing.interp import resample_rioxarray
+from rs_tools._src.geoprocessing.msg.reproject import add_msg_crs
+from rs_tools._src.geoprocessing.reproject import convert_lat_lon_to_x_y, calc_latlon
+from rs_tools._src.geoprocessing.utils import check_sat_FOV
+from rs_tools._src.geoprocessing.match import match_timestamps
+from rs_tools._src.geoprocessing.msg import MSG_WAVELENGTHS
+import pandas as pd
+from datetime import datetime
+from functools import partial
+import dask
+import warnings
+
+dask.config.set(**{'array.slicing.split_large_chunks': False})
+warnings.filterwarnings('ignore', category=FutureWarning)
+warnings.filterwarnings('ignore', category=UserWarning)
+
+from datetime import datetime
+from pathlib import Path
+
+# TODO: Add unit conversion?
+
+def parse_msg_dates_from_file(file: str):
+ """
+ Parses the date and time information from a MSG file name.
+
+ Args:
+ file (str): The file name to parse.
+
+ Returns:
+ str: The parsed date and time in the format 'YYYYJJJHHMM'.
+ """
+ timestamp = Path(file).name.split("-")[-2]
+ timestamp = timestamp.split(".")[0]
+ return timestamp
+
+
+@dataclass
+class MSGGeoProcessing:
+ """
+ A class for geoprocessing MSG data.
+
+ Attributes:
+ resolution (float): The resolution in meters.
+ read_path (str): The path to read the files from.
+ save_path (str): The path to save the processed files to.
+ region (Tuple[str]): The region of interest defined by the bounding box coordinates (lon_min, lat_min, lon_max, lat_max).
+ resample_method (str): The resampling method to use.
+
+ Methods:
+ msg_files(self) -> List[str]: Returns a list of all MSG files in the read path.
+ preprocess_fn(self, ds: xr.Dataset) -> Tuple[xr.Dataset, xr.Dataset]: Preprocesses the input dataset by applying corrections, subsetting, and resampling.
+ preprocess_fn_radiances(self, ds: xr.Dataset) -> xr.Dataset: Preprocesses the input dataset for radiances.
+ preprocess_fn_cloudmask(self, ds: xr.Dataset) -> xr.Dataset: Preprocesses the input dataset for cloud mask.
+ preprocess_files(self): Preprocesses the files in the read path and saves the processed files to the save path.
+ preprocess_radiances(self, files: List[str]) -> xr.Dataset: Preprocesses the radiances from the input files.
+ preprocess_cloud_mask(self, files: List[str]) -> xr.Dataset: Preprocesses the cloud mask from the input files.
+ """
+ resolution: float
+ read_path: str
+ save_path: str
+ region: Optional[Tuple[int, int, int, int]]
+ resample_method: str
+
+ @property
+ def msg_files(self) -> List[str]:
+ """
+ Returns a list of all MSG files in the read path.
+
+ Returns:
+ List[str]: A list of file paths.
+ """
+ # get a list of all MSG radiance files from specified path
+ files_radiances = get_list_filenames(self.read_path, ".nat")
+ # get a list of all MSG cloud mask files from specified path
+ files_cloudmask = get_list_filenames(self.read_path, ".grb")
+ return files_radiances, files_cloudmask
+
+ def preprocess_fn(self, ds: xr.Dataset) -> Tuple[xr.Dataset, xr.Dataset]:
+ """
+ Preprocesses the input dataset by applying corrections, subsetting, and resampling etc.
+
+ Args:
+ ds (xr.Dataset): The input dataset.
+
+ Returns:
+ Tuple[xr.Dataset, xr.Dataset]: The preprocessed dataset and the original dataset.
+ """
+ # copy to avoid modifying original dataset
+ ds = ds.copy()
+
+ # assign coordinate reference system
+ ds = add_msg_crs(ds)
+
+ if self.region is not None:
+ logger.info(f"Subsetting data to region: {self.region}")
+ # subset data
+ lon_bnds = (self.region[0], self.region[2])
+ lat_bnds = (self.region[1], self.region[3])
+ # convert lat lon bounds to x y (in meters)
+ x_bnds, y_bnds = convert_lat_lon_to_x_y(ds.rio.crs, lon=lon_bnds, lat=lat_bnds, )
+ # check that region is within the satellite field of view
+ # compile satellite FOV
+ satellite_FOV = (min(ds.x.values), min(ds.y.values), max(ds.x.values), max(ds.y.values))
+ # compile region bounds in x y
+ region_xy = (x_bnds[0], y_bnds[0], x_bnds[1], y_bnds[1])
+ if not check_sat_FOV(region_xy, FOV=satellite_FOV):
+ raise ValueError("Region is not within the satellite field of view")
+
+ ds = ds.sortby("x").sortby("y")
+ # slice based on x y bounds
+ ds_subset = ds.sel(y=slice(y_bnds[0], y_bnds[1]), x=slice(x_bnds[0], x_bnds[1]))
+ else:
+ ds_subset = ds
+
+ if self.resolution is not None:
+ logger.info(f"Resampling data to resolution: {self.resolution} m")
+ # resampling
+ ds_subset = resample_rioxarray(ds_subset, resolution=(self.resolution, self.resolution), method=self.resample_method)
+
+ # assign coordinates
+ ds_subset = calc_latlon(ds_subset)
+
+ return ds_subset, ds
+
+ def preprocess_fn_radiances(self, file: List[str], cloud_mask: np.array) -> xr.Dataset:
+ """
+ Preprocesses the MSG radiance dataset.
+
+ Args:
+ file (List[str]): The input file.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+
+ # Load file using satpy scenes
+ scn = Scene(
+ reader="seviri_l1b_native",
+ filenames=file
+ )
+ # Load radiance bands
+ channels = [x for x in scn.available_dataset_names() if x!='HRV']
+ assert len(channels) == 11, "Number of channels is not 11"
+
+ scn.load(channels, generate=False, calibration='radiance')
+
+ # change to xarray data
+ ds = scn.to_xarray()
+
+ # attach cloud mask as data variable before preprocessing
+ ds = ds.assign(cloud_mask=(("y", "x"), cloud_mask))
+
+ # reset coordinates for resampling/reprojecting
+ # this drops all {channel}_acq_time coordinates
+ ds = ds.reset_coords(drop=True)
+
+ # do core preprocess function (e.g. resample, add crs etc.)
+ ds_subset, ds = self.preprocess_fn(ds)
+
+ # Store the attributes in a dict before concatenation
+ attrs_dict = {x: ds_subset[x].attrs for x in channels}
+
+ # concatinate in new band dimension
+ # NOTE: Concatination overwrites attrs of bands.
+ ds_subset = ds_subset.assign(Rad=xr.concat(list(map(lambda x: ds_subset[x], channels)), dim="band"))
+ # rename band dimensions
+ ds_subset = ds_subset.assign_coords(band=list(map(lambda x: x, channels)))
+
+ # re-index coordinates
+ ds_subset = ds_subset.set_coords(['latitude', 'longitude', 'cloud_mask'])
+
+ # drop variables that will no longer be needed
+ ds_subset = ds_subset.drop(list(map(lambda x: x, channels)))
+
+ # extract measurement time
+ time_stamp = attrs_dict[list(attrs_dict.keys())[0]]['start_time']
+ # assign bands and time data to each variable
+ ds_subset = ds_subset.assign_coords({"time": [time_stamp]})
+
+ # NOTE: Keep only certain relevant attributes
+ ds_subset.attrs = {}
+ ds_subset.attrs = dict(
+ calibration=attrs_dict[list(attrs_dict.keys())[0]]["calibration"],
+ standard_name=attrs_dict[list(attrs_dict.keys())[0]]["standard_name"],
+ platform_name=attrs_dict[list(attrs_dict.keys())[0]]["platform_name"],
+ sensor=attrs_dict[list(attrs_dict.keys())[0]]["sensor"],
+ units=attrs_dict[list(attrs_dict.keys())[0]]["units"],
+ orbital_parameters=attrs_dict[list(attrs_dict.keys())[0]]["orbital_parameters"]
+ )
+
+ # TODO: Correct wavelength assignment. This attaches 36++ wavelengths to each band.
+ # assign band wavelengths
+ ds_subset = ds_subset.assign_coords({"band_wavelength": list(MSG_WAVELENGTHS.values())})
+
+ return ds_subset
+
+ def preprocess_fn_cloudmask(self, file: List[str]) -> np.array:
+ """
+ Preprocesses the input dataset for MSG cloud masks.
+
+ Args:
+ file (List[str]): The input file.
+
+ Returns:
+ np.array: The preprocessed cloud mask dataset.
+ """
+
+ grbs = pygrib.open(file[0])
+ # Loop over all messages in the GRIB file
+ for grb in grbs:
+ if grb.name == 'Cloud mask':
+ # Extract values from grb and return np.array
+ cloud_mask = grb.values
+ return cloud_mask
+
+ def preprocess_radiances(self, files: List[str], cloud_mask: np.array) -> xr.Dataset:
+ """
+ Preprocesses radiances from the input files.
+
+ Args:
+ files (List[str]): The list of file paths.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ # Check that all files contain radiance data
+ file = list(filter(lambda x: ".nat" in x, files))
+
+ # Check that only one file is selected
+ logger.info(f"Number of radiance files: {len(file)}")
+ assert len(file) == 1
+
+ # load file using satpy, convert to xarray dataset, and preprocess
+ ds = self.preprocess_fn_radiances(file, cloud_mask=cloud_mask)
+
+ return ds
+
+ def preprocess_cloud_mask(self, files: List[str]) -> xr.Dataset:
+ """
+ Preprocesses cloud mask from the input files.
+
+ Args:
+ files (List[str]): The list of file paths.
+
+ Returns:
+ xr.Dataset: The preprocessed dataset.
+ """
+ # Check that all files contain cloud mask data
+ file = list(filter(lambda x: "CLMK" in x, files))
+
+ # Check that only one file is present
+ logger.info(f"Number of cloud mask files: {len(file)}")
+ assert len(file) == 1
+
+ # load file using satpy, convert to xarray dataset, and preprocess
+ ds = self.preprocess_fn_cloudmask(file)
+
+ return ds
+
+ def preprocess_files(self):
+ """
+ Preprocesses multiple files in read path and saves processed files to save path.
+ """
+ # get unique times from read path
+ files_radiances, files_cloudmask = self.msg_files
+ unique_times_radiances = list(set(map(parse_msg_dates_from_file, files_radiances)))
+ unique_times_cloudmask = list(set(map(parse_msg_dates_from_file, files_cloudmask)))
+
+ df_matches = match_timestamps(unique_times_radiances, unique_times_cloudmask, cutoff=15)
+
+ pbar_time = tqdm(df_matches["timestamps_data"].values)
+
+ for itime in pbar_time:
+
+ pbar_time.set_description(f"Processing: {itime}")
+
+ # get cloud mask file for specific time
+ itime_cloud = df_matches.loc[df_matches["timestamps_data"] == itime, "timestamps_cloudmask"].values[0]
+ files_cloud = list(filter(lambda x: itime_cloud in x, files_cloudmask))
+
+ try:
+ # load cloud mask
+ cloud_mask = self.preprocess_cloud_mask(files_cloud)
+ except AssertionError:
+ logger.error(f"Skipping {itime} due to missing cloud mask")
+ continue
+
+ # get data files for specific time
+ files = list(filter(lambda x: itime in x, files_radiances))
+
+ try:
+ # load radiances and attach cloud mask
+ ds = self.preprocess_radiances(files, cloud_mask=cloud_mask)
+ except AssertionError:
+ logger.error(f"Skipping {itime} due to error loading")
+ continue
+
+ # remove crs from dataset
+ ds = ds.drop_vars('msg_seviri_fes_3km')
+
+ # remove attrs that cause netcdf error
+ for var in ds.data_vars:
+ ds[var].attrs.pop('grid_mapping', None)
+
+ # check if save path exists, and create if not
+ if not os.path.exists(self.save_path):
+ os.makedirs(self.save_path)
+
+ # remove file if it already exists
+ save_filename = Path(self.save_path).joinpath(f"{itime}_msg.nc")
+ if os.path.exists(save_filename):
+ logger.info(f"File already exists. Overwriting file: {save_filename}")
+ os.remove(save_filename)
+
+ # save to netcdf
+ ds.to_netcdf(save_filename, engine="netcdf4")
+
+def geoprocess(
+ resolution: float = None, # defined in meters
+ read_path: str = "./",
+ save_path: str = "./",
+ region: str = None,
+ resample_method: str = "bilinear",
+):
+ """
+ Geoprocesses MSG files
+
+ Args:
+ resolution (float, optional): The resolution in meters to resample data to. Defaults to None.
+ read_path (str, optional): The path to read the files from. Defaults to "./".
+ save_path (str, optional): The path to save the geoprocessed files to. Defaults to "./".
+ region (str, optional): The geographic region to extract ("lon_min, lat_min, lon_max, lat_max"). Defaults to None.
+ resample_method (str, optional): The resampling method to use. Defaults to "bilinear".
+
+ Returns:
+ None
+ """
+ # Initialize MSG GeoProcessor
+ logger.info(f"Initializing MSG GeoProcessor...")
+ # Extracting region from str
+ if region is not None:
+ region = tuple(map(lambda x: int(x), region.split(" ")))
+
+ msg_geoprocessor = MSGGeoProcessing(
+ resolution=resolution,
+ read_path=read_path,
+ save_path=save_path,
+ region=region,
+ resample_method=resample_method
+ )
+ logger.info(f"GeoProcessing Files...")
+ msg_geoprocessor.preprocess_files()
+
+ logger.info(f"Finished MSG GeoProcessing Script...!")
+
+
+if __name__ == '__main__':
+ """
+ # =========================
+ # Test Cases
+ # =========================
+ python geoprocessor_msg.py --read-path "/home/data" --save-path /home/data/msg/geoprocessed
+ python geoprocessor_msg.py --read-path "/home/data" --save-path /home/data/msg/geoprocessed --resolution 5000
+ python geoprocessor_msg.py --read-path "/home/data" --save-path /home/data/msg/geoprocessed --resolution 10000
+ python geoprocessor_msg.py --read-path "/home/data" --save-path /home/data/msg/geoprocessed --region (-10, -10, 10, 10)
+ python geoprocessor_msg.py --read-path "/home/data" --save-path /home/data/msg/geoprocessed --resolution 2000 --region (-10, -10, 10, 10)
+
+ # =========================
+ # FAILURE TEST CASES
+ # =========================
+ python geoprocessor_msg.py --read-path "/home/data" --save-path /home/data/msg/geoprocessed --resolution 2000 --region (-100, -10, -90, 10)
+ """
+ typer.run(geoprocess)
diff --git a/rs_tools/_src/geoprocessing/msg/reproject.py b/rs_tools/_src/geoprocessing/msg/reproject.py
new file mode 100644
index 0000000..0ee1c9c
--- /dev/null
+++ b/rs_tools/_src/geoprocessing/msg/reproject.py
@@ -0,0 +1,26 @@
+import xarray as xr
+import rioxarray
+from pyproj import CRS
+
+
+def add_msg_crs(ds: xr.Dataset) -> xr.Dataset:
+ """
+ Adds the Coordinate Reference System (CRS) to the given MSG dataset.
+
+ Parameters:
+ - ds (xarray.Dataset): The dataset to which the CRS will be added.
+
+ Returns:
+ - xarray.Dataset: The dataset with the CRS added.
+ """
+ # the CRS is stored in data variable attributes of "msg_seviri_fes_3km"
+ var = "msg_seviri_fes_3km"
+ crs_wkt = ds[var].crs_wkt
+
+ # load source CRS from the WKT string
+ cc = CRS(crs_wkt)
+
+ # assign CRS to dataarray
+ ds.rio.write_crs(cc, inplace=True)
+
+ return ds
\ No newline at end of file
diff --git a/rs_tools/_src/geoprocessing/utils.py b/rs_tools/_src/geoprocessing/utils.py
index e69de29..4c9a262 100644
--- a/rs_tools/_src/geoprocessing/utils.py
+++ b/rs_tools/_src/geoprocessing/utils.py
@@ -0,0 +1,38 @@
+from typing import Union, List, Dict, Tuple
+import numpy as np
+import xarray as xr
+import pandas as pd
+
+def check_sat_FOV(region: Tuple[int, int, int, int], FOV: Tuple[int, int, int, int]) -> bool:
+ """
+ Check if the region is within the Field of View (FOV) of the satellite.
+
+ Args:
+ region (Tuple[int, int, int, int]): The region (lon_min, lat_min, lon_max, lat_max) to check if it is within the FOV
+ FOV (Tuple[int, int]): The Field of View (FOV) (lon_min, lat_min, lon_max, lat_max) of the satellite.
+
+ Returns:
+ bool: True if the region is within the FOV, False otherwise.
+ """
+ # Check if the region is within the Field of View (FOV) of the satellite.
+ if abs(region[0]) <= abs(FOV[0]) and abs(region[1]) <= abs(FOV[1]) and abs(region[2]) <= abs(FOV[2]) and abs(region[3]) <= abs(FOV[3]):
+ return True
+ else:
+ return False
+
+def convert_units(ds: xr.Dataset, wavelengths: Dict) -> xr.Dataset:
+ """
+ Function to convert units from mW/m^2/sr/cm^-1 to W/m^2/sr/um.
+ Acts on each band separately.
+
+ Parameters:
+ ds (xr.Dataset): The input dataset to be converted.
+ wavelengths (Dict[float]): Dictionary of wavelengths of data for each band (i).
+
+ Returns:
+ xr.Dataset: The converted dataset.
+ """
+ for band in ds.data_vars:
+ ds[band] = ds[band] * 0.001 # to convert mW to W
+ ds[band] = ds[band] * 10000 / wavelengths[band]**2 # to convert cm^-1 to um
+ return ds
diff --git a/rs_tools/_src/preprocessing/prepatcher.py b/rs_tools/_src/preprocessing/prepatcher.py
new file mode 100644
index 0000000..d044682
--- /dev/null
+++ b/rs_tools/_src/preprocessing/prepatcher.py
@@ -0,0 +1,172 @@
+import autoroot
+import numpy as np
+from xrpatcher._src.base import XRDAPatcher
+import rioxarray
+import os
+from pathlib import Path
+from dataclasses import dataclass
+from typing import Optional, List, Union, Tuple
+from tqdm import tqdm
+from rs_tools._src.utils.io import get_list_filenames
+import typer
+from loguru import logger
+import xarray as xr
+
+def _check_filetype(file_type: str) -> bool:
+ """checks instrument for GOES data."""
+ if file_type in ["nc", "np"]:
+ return True
+ else:
+ msg = "Unrecognized file type"
+ msg += f"\nNeeds to be 'nc' or 'np'. Others are not yet tested"
+ raise ValueError(msg)
+
+def _check_nan_count(arr: np.array, nan_cutoff: float) -> bool:
+ """
+ Check if the number of NaN values in the given array is below a specified cutoff.
+
+ Parameters:
+ arr (np.array): The input array to check for NaN values.
+ nan_cutoff (float): The maximum allowed ratio of NaN values to the total number of values.
+
+ Returns:
+ bool: True if the number of NaN values is below the cutoff, False otherwise.
+ """
+ # count nans in dataset
+ nan_count = int(np.count_nonzero(np.isnan(arr)))
+ # get total pixel count
+ total_count = int(arr.size)
+ # check if nan_count is within allowed cutoff
+ if nan_count/total_count <= nan_cutoff:
+ return True
+ else:
+ return False
+
+@dataclass(frozen=True)
+class PrePatcher:
+ """
+ A class for preprocessing and saving patches from NetCDF files.
+
+ Attributes:
+ read_path (str): The path to the directory containing the NetCDF files.
+ save_path (str): The path to save the patches.
+ patch_size (int): The size of each patch.
+ stride_size (int): The stride size for generating patches.
+ nan_cutoff (float): The cutoff value for allowed NaN count in a patch.
+ save_filetype (str): The file type to save patches as. Options are [nc, np].
+
+ Methods:
+ nc_files(self) -> List[str]: Returns a list of all NetCDF filenames in the read_path directory.
+ save_patches(self): Preprocesses and saves patches from the NetCDF files.
+ """
+
+ read_path: str
+ save_path: str
+ patch_size: int
+ stride_size: int
+ nan_cutoff: float
+ save_filetype: str
+
+ @property
+ def nc_files(self) -> List[str]:
+ """
+ Returns a list of all NetCDF filenames in the read_path directory.
+
+ Returns:
+ List[str]: A list of NetCDF filenames.
+ """
+ # get list of all filenames within the path
+ files = get_list_filenames(self.read_path, ".nc")
+ return files
+
+ def save_patches(self):
+ """
+ Preprocesses and saves patches from the NetCDF files.
+ """
+ pbar = tqdm(self.nc_files)
+
+ for ifile in pbar:
+ # extract & log timestamp
+ itime = str(Path(ifile).name).split("_")[0]
+ pbar.set_description(f"Processing: {itime}")
+ # open dataset
+ ds = xr.open_dataset(ifile, engine="netcdf4")
+ # extract radiance data array
+ da = ds.Rad
+ # define patch parameters
+ patches = dict(x=self.patch_size, y=self.patch_size)
+ strides = dict(x=self.stride_size, y=self.stride_size)
+ # start patching
+ patcher = XRDAPatcher(da=da, patches=patches, strides=strides)
+
+ # check if save path exists, and create if not
+ if not os.path.exists(self.save_path):
+ os.makedirs(self.save_path)
+
+ for i, ipatch in tqdm(enumerate(patcher), total=len(patcher)):
+ data = ipatch.data # extract data patch
+ if _check_nan_count(data, self.nan_cutoff):
+ if self.save_filetype == "nc":
+ # reconvert to dataset to attach band_wavelength and time
+ ipatch = ipatch.to_dataset(name='Rad')
+ ipatch = ipatch.assign_coords({'time': ds.time.values})
+ ipatch = ipatch.assign_coords({'band_wavelength': ds.band_wavelength.values})
+ # compile filename
+ file_path = Path(self.save_path).joinpath(f"{itime}_patch_{i}.nc")
+ # remove file if it already exists
+ if os.path.exists(file_path):
+ os.remove(file_path)
+ # save patch to netcdf
+ ipatch.to_netcdf(Path(self.save_path).joinpath(f"{itime}_patch_{i}.nc"), engine="netcdf4")
+ elif self.save_filetype == "np":
+ # save as numpy files
+ np.save(Path(self.save_path).joinpath(f"{itime}_radiance_patch_{i}"), data)
+ np.save(Path(self.save_path).joinpath(f"{itime}_latitude_patch_{i}"), ipatch.latitude.values)
+ np.save(Path(self.save_path).joinpath(f"{itime}_longitude_patch_{i}"), ipatch.longitude.values)
+ np.save(Path(self.save_path).joinpath(f"{itime}_cloudmask_patch_{i}"), ipatch.cloud_mask.values)
+ else:
+ logger.info(f'NaN count exceeded for patch {i} of timestamp {itime}.')
+
+def prepatch(
+ read_path: str = "./",
+ save_path: str = "./",
+ patch_size: int = 256,
+ stride_size: int = 256,
+ nan_cutoff: float = 0.5,
+ save_filetype: str = 'nc'
+):
+ """
+ Patches satellite data into smaller patches for training.
+ Args:
+ read_path (str, optional): The path to read the input files from. Defaults to "./".
+ save_path (str, optional): The path to save the extracted patches. Defaults to "./".
+ patch_size (int, optional): The size of each patch. Defaults to 256.
+ stride_size (int, optional): The stride size for patch extraction. Defaults to 256.
+ nan_cutoff (float): The cutoff value for allowed NaN count in a patch. Defaults to 0.1.
+ save_filetype (str, optional): The file type to save patches as. Options are [nc, np]
+
+ Returns:
+ None
+ """
+ _check_filetype(file_type=save_filetype)
+
+ # Initialize Prepatcher
+ logger.info(f"Initializing Prepatcher...")
+ prepatcher = PrePatcher(
+ read_path=read_path,
+ save_path=save_path,
+ patch_size=patch_size,
+ stride_size=stride_size,
+ nan_cutoff=nan_cutoff,
+ save_filetype=save_filetype
+ )
+ logger.info(f"Patching Files...: {save_path}")
+ prepatcher.save_patches()
+
+ logger.info(f"Finished Prepatching Script...!")
+
+if __name__ == '__main__':
+ """
+ python scripts/pipeline/prepatch.py --read-path "/path/to/netcdf/file" --save-path /path/to/save/patches
+ """
+ typer.run(prepatch)
diff --git a/scripts/pipeline/goes/download_goes.py b/scripts/pipeline/goes/download_goes.py
deleted file mode 100644
index 72b9596..0000000
--- a/scripts/pipeline/goes/download_goes.py
+++ /dev/null
@@ -1,124 +0,0 @@
-"""
-A General Pipeline for create ML-Ready Data
-- Downloading the Data
-- Data Harmonization
-- Normalizing
-- Patching
-"""
-import autoroot
-import numpy as np
-
-from pathlib import Path
-from dataclasses import dataclass
-from typing import Optional, List, Union, Tuple
-
-from rs_tools import goes_download, modis_download, MODIS_VARIABLES
-
-from rs_tools._src.geoprocessing.grid import create_latlon_grid
-import typer
-from loguru import logger
-
-
-
-
-@dataclass
-class GOES16Download:
- """GOES will save to separate subdirectories"""
- channels: str = "all"
- satellite: int = 16
- start_date: str = "2018-10-01"
- end_date: str = "2018-10-31"
- start_time: str = '14:00:00'
- end_time: str = '20:00:00'
- daily_window_t0: str = '14:00:00' # Times in UTC, 9 AM local time
- daily_window_t1: str = '20:00:00' # Times in UTC, 3 PM local time
- time_step: str = "4:00:00" # download one image at 14:00 and one at 18:00 every day
- save_path: str = "./goes"
-
- def download(self) -> List[str]:
- goes_files = goes_download(
- start_date=self.start_date,
- end_date=self.end_date,
- start_time=self.start_time,
- end_time=self.end_time,
- daily_window_t0=self.daily_window_t0, # Times in UTC, 9 AM local time
- daily_window_t1=self.daily_window_t1, # Times in UTC, 3 PM local time
- time_step=self.time_step,
- satellite_number=self.satellite,
- save_dir=self.save_path,
- instrument="ABI",
- processing_level='L1b',
- data_product='Rad',
- domain='F',
- bands=self.channels,
- check_bands_downloaded=True,
- )
- return goes_files
-
- def download_cloud_mask(self) -> List[str]:
- goes_files = goes_download(
- start_date=self.start_date,
- end_date=self.end_date,
- start_time=self.start_time,
- end_time=self.end_time,
- daily_window_t0=self.daily_window_t0, # Times in UTC, 9 AM local time
- daily_window_t1=self.daily_window_t1, # Times in UTC, 3 PM local time
- time_step=self.time_step,
- satellite_number=self.satellite,
- save_dir=self.save_path,
- instrument="ABI",
- processing_level='L2',
- data_product='ACM',
- domain='F',
- bands=self.channels,
- check_bands_downloaded=True,
- )
- return goes_files
-
-
-def download(
- start_date: str = "2020-10-01",
- end_date: str = "2020-10-02",
- save_path: str = "./"
-):
- """
- Downloads MODIS TERRA and GOES 16 files for the specified period, region, and save path.
-
- Args:
- period (List[str], optional): The period of time to download files for. Defaults to ["2020-10-01", "2020-10-31"].
- region (Tuple[str], optional): The geographic region to download files for. Defaults to (-180, -90, 180, 90).
- save_path (str, optional): The path to save the downloaded files. Defaults to "./".
-
- Returns:
- None
- """
-
- params = DownloadParameters(
- start_date=start_date,
- end_date=end_date,
- region=region,
- save_path=save_path
- )
-
- # initialize GOES 16 Files
- logger.info("Initializing GOES16 parameters...")
- dc_goes16_download = GOES16Download(
- start_date=start_date,
- end_date=end_date,
- save_path=str(Path(save_path).joinpath("goes16"))
- )
- logger.info("Downloading GOES 16...")
- goes16_filenames = dc_goes16_download.download()
- logger.info("Done!")
- logger.info("Downloading GOES 16 Cloud Mask...")
- goes16_filenames = dc_goes16_download.download_cloud_mask()
- logger.info("Done!")
-
- # TODO: Create DataFrame
- # TODO: save MODIS-TERRA filenames to CSV?
- # TODO: save GOES-16 filenames to CSV?
- logger.info("Finished Script...")
-
-
-if __name__ == '__main__':
- typer.run(download)
\ No newline at end of file
diff --git a/scripts/pipeline/goes/preprocess_goes.py b/scripts/pipeline/goes/preprocess_goes.py
deleted file mode 100644
index 45045d4..0000000
--- a/scripts/pipeline/goes/preprocess_goes.py
+++ /dev/null
@@ -1,220 +0,0 @@
-import autoroot
-import numpy as np
-import rioxarray
-from pathlib import Path
-from dataclasses import dataclass
-from typing import Optional, List, Union, Tuple
-from tqdm import tqdm
-from rs_tools._src.utils.io import get_list_filenames
-import typer
-from loguru import logger
-import xarray as xr
-import datetime
-from rs_tools._src.geoprocessing.goes.interp import resample_rioxarray
-from rs_tools._src.geoprocessing.goes.validation import correct_goes16_bands, correct_goes16_satheight
-from rs_tools._src.geoprocessing.goes.reproject import add_goes16_crs
-from rs_tools._src.geoprocessing.reproject import convert_lat_lon_to_x_y, calc_latlon
-import pandas as pd
-from datetime import datetime
-from functools import partial
-
-
-def parse_goes16_dates_from_file(file: str):
- timestamp = Path(file).name.replace("-","_").split("_")
- return datetime.strptime(timestamp[-2][1:], "%Y%j%H%M%S%f").strftime("%Y%j%H%M")
-
-
-@dataclass
-class GOES16GeoProcessing:
- resolution: float = 1_000 # [m]
- read_path: str = "./"
- save_path: str = "./"
- region: Tuple[str] = (-130, -15, -90, 5)
- resample_method: str = "bilinear"
-
- @property
- def goes_files(self) -> List[str]:
- # get a list of all filenames within the path
- # get all GOES files
- files = get_list_filenames(self.read_path, ".nc")
- return files
-
- def preprocess_fn(self, ds: xr.Dataset) -> Tuple[xr.Dataset, xr.Dataset]:
-
- ds = ds.copy()
-
- ds = correct_goes16_satheight(ds)
- try:
- ds = correct_goes16_bands(ds)
- except AttributeError:
- pass
- ds = add_goes16_crs(ds)
-
- # subset data
- lon_bnds = (self.region[0], self.region[2])
- lat_bnds = (self.region[1], self.region[3])
- x_bnds, y_bnds = convert_lat_lon_to_x_y(ds.FOV.crs, lon=lon_bnds, lat=lat_bnds, )
- ds = ds.sortby("x").sortby("y")
- ds = ds.sel(y=slice(y_bnds[0], y_bnds[1]),x=slice(x_bnds[0], x_bnds[1]))
-
- # resampling
- ds_subset = resample_rioxarray(ds, resolution=self.resolution, method=self.resample_method)
-
- # assign coordinates
- ds_subset = calc_latlon(ds_subset)
-
- return ds_subset, ds
-
-
-
- def preprocess_fn_radiances(self, ds: xr.Dataset) -> xr.Dataset:
-
- variables = ["Rad", "DQF"]
-
- # do core preprocess function
- ds_subset, ds = self.preprocess_fn(ds)
-
- # assign coordinates
- ds_subset = ds_subset[variables]
- time_stamp = pd.to_datetime(ds.t.values)
- time_stamp = time_stamp.strftime("%Y-%m-%d %H:%M")
- ds_subset[variables] = ds_subset[variables].expand_dims({"band":ds.band.values, "time":[time_stamp]})
- ds_subset = ds_subset.drop_vars(["t", "y_image", "x_image", "goes_imager_projection"])
- # assign bands
- ds_subset.band.attrs = ds.band.attrs
- ds_subset = ds_subset.assign_coords({"band_wavelength": ds.band_wavelength.values})
- ds_subset.band_wavelength.attrs = ds.band_wavelength.attrs
-
- return ds_subset
-
-
- def preprocess_fn_cloudmask(self, ds: xr.Dataset) -> xr.Dataset:
-
- variables = ["BCM"]
-
- # do core preprocess function
- ds_subset, ds = self.preprocess_fn(ds)
-
- # assign coordinates
- ds_subset = ds_subset[variables]
- time_stamp = pd.to_datetime(ds.t.values)
- time_stamp = time_stamp.strftime("%Y-%m-%d %H:%M")
- ds_subset = ds_subset.expand_dims({"time":[time_stamp]})
- ds_subset = ds_subset.drop_vars(["t", "y_image", "x_image", "goes_imager_projection"])
-
- return ds_subset
-
- def preprocess_files(self):
-
- # get unique times
- unique_times = list(set(map(parse_goes16_dates_from_file, self.goes_files)))
-
- pbar_time = tqdm(unique_times)
-
- for itime in pbar_time:
-
- pbar_time.set_description(f"Processing: {itime}")
-
- # get files from unique times
- files = list(filter(lambda x: unique_times[0] in x, self.goes_files))
-
- # load radiances
- ds = self.preprocess_radiances(files)
-
- # load cloud mask
- ds_clouds = self.preprocess_cloud_mask(files)["cloud_mask"]
- # interpolate to data
- ds_clouds = ds_clouds.interp(x=ds.x, y=ds.y)
- # keep data
- ds = ds.assign_coords({"cloud_mask": (("y","x"), ds_clouds.values.squeeze())})
- ds["cloud_mask"].attrs = ds_clouds.attrs
-
- ds.to_netcdf(Path(self.save_path).joinpath(f"{itime}_goes16.nc"), engine="netcdf4")
-
- def preprocess_radiances(self, files: List[str]) -> xr.Dataset:
-
- files = list(filter(lambda x: "Rad" in x, files))
-
- assert len(files) == 16
-
- # open
- ds = [xr.open_mfdataset(ifile, preprocess=self.preprocess_fn_radiances, concat_dim="band", combine="nested") for ifile in files]
- # reinterpolate to match coordinates of first image
- ds = [ds[0]] + [ids.interp(x=ds[0].x, y=ds[0].y) for ids in ds[1:]]
- # concatentate
- ds = xr.concat(ds, dim="band")
-
- # TODO: Keep relevant attributes...
- attrs_rad = ds["Rad"].attrs
-
- ds["Rad"].attrs = {}
- ds["Rad"].attrs = dict(
- long_name=attrs_rad["long_name"],
- standard_name=attrs_rad["standard_name"],
- units=attrs_rad["units"],
- )
- ds["DQF"].attrs = {}
-
- return ds
-
- def preprocess_cloud_mask(self, files: List[str]) -> xr.Dataset:
-
- files = list(filter(lambda x: "ACMF" in x, files))
-
- print(files)
-
- assert len(files) == 1
-
- # open
- ds = xr.open_mfdataset(files[0])
- ds = self.preprocess_fn_cloudmask(ds)
-
- # TODO: Keep relevant attributes...
- attrs_bcm = ds["BCM"].attrs
- ds = ds.rename({"BCM": "cloud_mask"})
- ds["cloud_mask"].attrs = {}
- ds["cloud_mask"].attrs = dict(
- long_name=attrs_bcm["long_name"],
- standard_name=attrs_bcm["standard_name"],
- units=attrs_bcm["units"],
- )
-
- return ds
-
-
-
-def preprocess_goes16(
- resolution: float = 1000,
- read_path: str = "./",
- save_path: str = "./"
-):
- """
- Downloads MODIS TERRA and GOES 16 files for the specified period, region, and save path.
-
- Args:
- period (List[str], optional): The period of time to download files for. Defaults to ["2020-10-01", "2020-10-31"].
- region (Tuple[str], optional): The geographic region to download files for. Defaults to (-180, -90, 180, 90).
- save_path (str, optional): The path to save the downloaded files. Defaults to "./".
-
- Returns:
- None
- """
- logger.info(f"Starting Script...")
-
- logger.info(f"Initializing GeoProcessor...")
- goes_geoprocessor = GOES16GeoProcessing(
- resolution=resolution, read_path=read_path, save_path=save_path
- )
- logger.info(f"Saving Files...")
- goes_geoprocessor.preprocess_files()
-
- logger.info(f"Finished Script...!")
-
-
-
-
-if __name__ == '__main__':
- """
- python scripts/pipeline/preprocess_modis.py --read-path "/home/juanjohn/data/rs/modis/raw" --save-path /home/juanjohn/data/rs/modis/analysis
- """
- typer.run(preprocess_goes16)
diff --git a/scripts/pipeline/modis/download_modis.py b/scripts/pipeline/modis/download_modis.py
index 8363ecf..d32aadd 100644
--- a/scripts/pipeline/modis/download_modis.py
+++ b/scripts/pipeline/modis/download_modis.py
@@ -20,6 +20,8 @@
import earthaccess
import pandas as pd
+# NOTE: This has now been moved to rs_tools/_src/data/modis/downloader_terra.py
+# NOTE: This has now been moved to rs_tools/_src/data/modis/downloader_aqua.py
@dataclass
class DownloadParameters:
@@ -125,5 +127,27 @@ def download(
logger.info("Finished Script...")
+# ALOT OF HYDRA META INFORMATION
+# Create a configuration associated with the above function (cf next cell)
+import hydra_zen
+import hydra
+
+main_config = hydra_zen.builds(download, populate_full_signature=True)
+
+# Wrap the function to accept the configuration as input
+zen_endpoint = hydra_zen.zen(download)
+
+#Store the config
+store = hydra_zen.ZenStore()
+store(main_config, name='download_modis')
+store.add_to_hydra_store(overwrite_ok=True)
+
+# Create CLI endpoint
+api_endpoint = hydra.main(
+ config_name='download_modis', version_base="1.3", config_path=None
+)(zen_endpoint)
+
if __name__ == '__main__':
- typer.run(download)
\ No newline at end of file
+ # HYDRA ENDPOINT
+ # typer.run(download)
+ api_endpoint()
\ No newline at end of file
diff --git a/scripts/pipeline/modis/preprocess_modis.py b/scripts/pipeline/modis/preprocess_modis.py
index 218a846..b3fabab 100644
--- a/scripts/pipeline/modis/preprocess_modis.py
+++ b/scripts/pipeline/modis/preprocess_modis.py
@@ -34,8 +34,6 @@ class GeoProcessingParams:
class MODISGeoProcessing:
resolution: float = 1_000 # km
read_path: str = "./"
- patch_size: int = 256
- stride_size: int = 256
save_path: str = "./"
@property
@@ -103,11 +101,8 @@ def load_modis_files(self, satellite: str="aqua"):
def preprocess_modis(
- modis_save_dir: str = "./",
resolution: float = 1000,
read_path: str = "./",
- patch_size: int = 256,
- stride_size: int = 256,
save_path: str = "./"
):
"""