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+
+
+
+
+
+___
+
+
+## Mirella's Recruiting Process: Data Engineer Jr
+
+I used JupyterLab and python libraries to develop the entire project. The graphs plotted are shown in the .ipynb archive and are saved as .png archives. The rmsefile.nc contains the RMSE values requested by the challenge.
+
+### Steps that have to be followed to execute this project:
+
+#### 1) Install the packages used by me typing this command in the terminal:
+
+```diff
+pip install -r requirements.txt
+```
+
+The requirements.txt file holds the following packages:
+
+##### - numpy 1.24.1
+##### - matplotlib 3.8.1
+##### - netCDF4 6.5
+##### - seaborn 0.13.0
+##### - session_info 1.0.0
+
+##### - IPython 8.9.0
+##### - jupyter_client 8.0.2
+##### - jupyter_core 5.2.0
+##### - jupyterlab 3.5.3
+##### - notebook 6.5.2
+
+#### 2) Execute the code:
+
+My entire project, its respective explanation about every step performed, and the results are located in pythonstormgeo.ipynb (JupyterLab).
+You will run all the cells by means of going to: Run -> Run All Cells and then, you will be able to see all of the results obtained with the software.
+
+______
+
+### Steps that the Python script goes through:
+
+#### 1) Import libraries
+
+#### 2) Read data from forecast.nc
+
+#### 3) Check if there are missing, invalid, or not written data in forecast.nc file
+
+#### 4) Access elements of forecast.nc variables
+
+4.1) Access only the information of t2m variable
+
+4.2) If you try to acess the elements of t2m variable (t2m_forecast = forecast.variables['t2m'][:,:,:]), python will give an error: missing_value not used since it cannot be safely cast to variable data type
+
+4.3) The problem occurs because the library tries to automatically mask bad values using metadata like the missing_value attribute. The library is ignoring the missing_value attribute for my variable because the attribute has a different type than that of the original data values. The problem is solved by turning off the auto conversion to masked arrays.
+
+4.4) It is possible to check that the fill value nor the missing value are present (not written) in t2m_forecast
+
+#### 5) Read data from observation.nc
+
+#### 6) Check if there are missing, invalid, or not written data values in observation.nc file
+
+#### 7) Access elements of observation.nc variables
+
+#### 8) Nan values in temperatura variable
+
+8.1) There are nan values in the temperatura variable (temperature_observation), so it is necessary to replace them before continuing
+
+8.2) I decided to replace nan values with the mean of the temperature values that are not nan
+
+8.3) Now, the temperatura variable (temperature_observation) doesn't have nan values
+
+8.4) It is possible to check that the fill value nor the missing value aren't present (not written) in temperature_observation
+
+#### 9) Convert temperature from Celsius to Kelvin
+
+9.1) temperature_observation variable has to be converted from Celsius to Kelvin (SI unit). The reason is that t2m_forecast variable is in Kelvin (K) and temperature_observation variable is in Celsius (C).
+
+#### 10) Data from São Paulo
+
+10.1) Data from São Paulo is obtained using the following coordinates: Latitude=8, Longitude=26
+
+#### 11) Calculate Root Mean Squared Error (RMSE) of 6-hour time periods
+
+$\text{RMSE}(f, o) = \sqrt{\bar{(f - o)^2}}$
+
+11.1) I computed two sets of values for the RMSE. The first (RMSE_matrix), computes the mean value only in the time dimension. That is, there are RMSE values for each latitude and longitude pair, for each time interval of 6 hours. The second (RMSE_array and RMSE_sp_array), computes the mean in all dimensions. That is, there is only one RMSE value for each 6 hour interval. This approach allows vizualization of the data both in terms of location (first set) and only in terms of the time interval (second set)
+
+#### 12) Date and time of forecast and observation datasets
+
+12.1) It is possible to see, by means of analysing the datasets information, that this data corresponds to: since 04/14/2018 (forecast) and since 04/13/2018 (observation). It will be taken into consideration the following day/month/year: since 04/14/2018, because corresponds to the real observations
+
+#### 13) Plot the heatmap of RMSE matrix values
+
+13.1) Use Seaborn library to plot the heatmap of RMSE matrix values (RMSE of each 6-hour time period)
+
+
+
+
+
+
+#### 14) Plot the graph of RMSE array values
+
+14.1) Use Matplotlib library to plot the graph of RMSE array values (RMSE of 6-hour time periods)
+
+
+
+
+
+
+#### 15) Plot the graph of RMSE array values for São Paulo
+
+15.1) Use Matplotlib library to plot the graph of RMSE array values (RMSE of 6-hour time periods) for São Paulo
+
+
+
+
+
+
+#### 16) Save RMSE values in a NetCDF archive
+
+___
+
+
+
+
+
+
+
+
+
diff --git a/RMSE_array.png b/RMSE_array.png
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diff --git a/RMSE_matrix.png b/RMSE_matrix.png
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diff --git a/RMSE_sp_array.png b/RMSE_sp_array.png
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diff --git a/pythonstormgeo.ipynb b/pythonstormgeo.ipynb
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "468afe6a-45fe-4c69-8b34-c3a6de982bcb",
+ "metadata": {
+ "tags": []
+ },
+ "source": [
+ "# Summary\n",
+ "\n",
+ "1) Import libraries\n",
+ "2) Read data from forecast.nc\n",
+ "3) Check if there are missing, invalid, or not written data in forecast.nc file\n",
+ "4) Access elements of forecast.nc variables\n",
+ "--------------------------------------------\n",
+ "5) Read data from observation.nc\n",
+ "6) Check if there are missing, invalid, or not written data in observation.nc file\n",
+ "7) Access elements of observation.nc variables\n",
+ "8) Nan values in temperatura variable\n",
+ "9) Convert temperature values from Celsius to Kelvin\n",
+ "10) Data from São Paulo \n",
+ "--------------------------------------------\n",
+ "11) Calculate Root Mean Squared Error (RMSE) of 6-hour time periods\n",
+ "--------------------------------------------\n",
+ "12) Date and time of forecast and observation datasets\n",
+ "13) Plot the heatmap of RMSE matrix values\n",
+ "14) Plot the graph of RMSE array values\n",
+ "15) Plot the graph of RMSE array values for São Paulo\n",
+ "--------------------------------------------\n",
+ "16) Save RMSE values in a NetCDF archive"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "88384431-a5ec-4edc-aa21-d97f75bebdb0",
+ "metadata": {},
+ "source": [
+ "## 1) Import libraries"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "id": "3cb88345-ecc2-4db8-b7fc-40fb4ef3aa4b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from netCDF4 import Dataset\n",
+ "import numpy as np\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "import session_info"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "14ca62b1-0a68-4b4b-a59c-0822bee76931",
+ "metadata": {},
+ "source": [
+ "## 2) Read data from forecast.nc"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "7e707c28-be9a-4582-b0de-2ccffbbf5ae9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Open the forecast NetCDF Dataset object\n",
+ "forecast = Dataset(\"forecast.nc\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "116669d2-a06c-4713-880f-28958f9c773f",
+ "metadata": {},
+ "source": [
+ "## 3) Check if there are missing, invalid, or not written data in forecast.nc file"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "id": "3e38e5fa-c09f-4057-805c-c74e1e3e1609",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{'lat': \n",
+ "float32 lat(lat)\n",
+ " standard_name: latitude\n",
+ " long_name: latitude\n",
+ " units: degrees_north\n",
+ " grads_dim: Y\n",
+ "unlimited dimensions: \n",
+ "current shape = (25,)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used, 'lon': \n",
+ "float32 lon(lon)\n",
+ " standard_name: longitude\n",
+ " long_name: longitude\n",
+ " units: degrees_east\n",
+ " grads_dim: x\n",
+ "unlimited dimensions: \n",
+ "current shape = (37,)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used, 'time': \n",
+ "float32 time(time)\n",
+ " standard_name: time\n",
+ " units: hours since 2018-4-14 00:00:00\n",
+ " calendar: standard\n",
+ " axis: T\n",
+ "unlimited dimensions: \n",
+ "current shape = (72,)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used, 't2m': \n",
+ "float32 t2m(time, lat, lon)\n",
+ " missing_value: 9.999e+20\n",
+ "unlimited dimensions: \n",
+ "current shape = (72, 25, 37)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used}\n"
+ ]
+ }
+ ],
+ "source": [
+ "forecast_variables = forecast.variables\n",
+ "print(forecast_variables)\n",
+ "#there is a missing, invalid or not written value in the t2m variable"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "50f61c6c-9b07-462b-af1f-8de62d192638",
+ "metadata": {
+ "tags": []
+ },
+ "source": [
+ "## 4) Access elements of forecast.nc variables"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "76cc9e6c-9620-4a2c-a76a-d7966f8a48e1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "latitude_forecast = forecast.variables['lat'][:] #lat variable\n",
+ "longitude_forecast = forecast.variables['lon'][:] #lon variable\n",
+ "time_forecast = forecast.variables['time'][:] #time variable"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b9eb42fd-2c24-4ebd-81d3-34e01d79a128",
+ "metadata": {},
+ "source": [
+ "#### 4.1) Acess only the information of t2m variable"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "id": "c883b65c-5a3c-46e0-8e14-a400437c560f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "t2m_forecast = forecast.variables['t2m']"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2f7ad7a5-f6f1-4657-ba1a-25dc2b8e29b7",
+ "metadata": {
+ "tags": []
+ },
+ "source": [
+ "#### 4.2) If you try to acess the elements of t2m variable (t2m_forecast = forecast.variables['t2m'][:,:,:]), python will give an error: missing_value not used since it cannot be safely cast to variable data type "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d3c89192-0fc6-4d49-84c3-d532953d5e42",
+ "metadata": {},
+ "source": [
+ "#### 4.3) The problem occurs because the library tries to automatically mask bad values using metadata like the missing_value attribute. The library is ignoring the missing_value attribute for my variable because the attribute has a different type than that of the original data values. The problem is solved by turning off the auto conversion to masked arrays using:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "id": "b927cbbf-2d5f-4689-8c3d-07b85692e8e9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "t2m_forecast.set_auto_mask(False)\n",
+ "\n",
+ "#now, it is possible to access the elements of the variable\n",
+ "t2m_forecast = t2m_forecast[:,:,:]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8ec12e51-78b9-4499-a275-57fa5769d3f8",
+ "metadata": {},
+ "source": [
+ "#### 4.4) It is possible to check that the fill value nor the missing value aren't present (not written) in t2m_forecast"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "id": "1892badc-65fb-4ee2-acea-6a69eae7b8cf",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "304.1348\n"
+ ]
+ }
+ ],
+ "source": [
+ "#looking for the maximum value in t2m_forecast\n",
+ "max_t2m = np.max(t2m_forecast)\n",
+ "print(max_t2m)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e8316985-4bed-4426-8377-d0c81802af5d",
+ "metadata": {},
+ "source": [
+ "## 5) Read data from observation.nc"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "id": "c33fb103-149e-4b76-b0e0-582cc1160b6e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "observation = Dataset('observation.nc')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0d20c296-fc53-441d-8c8c-4a23808d457b",
+ "metadata": {},
+ "source": [
+ "## 6) Check if there are missing, invalid, or not written data in observation.nc archive"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "id": "088a29e2-1cd9-4b1f-9618-d89c4015e46e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{'time': \n",
+ "float32 time(time)\n",
+ " standard_name: time\n",
+ " units: hours since 2018-04-13 00:00\n",
+ " calendar: standard\n",
+ " axis: T\n",
+ "unlimited dimensions: time\n",
+ "current shape = (72,)\n",
+ "filling off, 'lon': \n",
+ "float32 lon(lon)\n",
+ " standard_name: longitude\n",
+ " long_name: longitude\n",
+ " units: degrees_east\n",
+ " axis: X\n",
+ "unlimited dimensions: \n",
+ "current shape = (37,)\n",
+ "filling off, 'lat': \n",
+ "float32 lat(lat)\n",
+ " standard_name: latitude\n",
+ " long_name: latitude\n",
+ " units: degrees_north\n",
+ " axis: Y\n",
+ "unlimited dimensions: \n",
+ "current shape = (25,)\n",
+ "filling off, 'temperatura': \n",
+ "float32 temperatura(time, lat, lon)\n",
+ " _FillValue: 9.999e+20\n",
+ " missing_value: 9.999e+20\n",
+ "unlimited dimensions: time\n",
+ "current shape = (72, 25, 37)\n",
+ "filling off}\n"
+ ]
+ }
+ ],
+ "source": [
+ "observation_variables = observation.variables\n",
+ "print(observation_variables)\n",
+ "#there is a missing, invalid or not written value in the temperature variable"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3f4dda4a-9759-4bdb-b0d3-56c77eab8657",
+ "metadata": {},
+ "source": [
+ "## 7) Access elements of observation.nc variables"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "id": "31a392db-6a29-4ab4-876d-e190aaefed59",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "latitude_observation = observation.variables['lat'][:] #lat variable\n",
+ "longitude_observation = observation.variables['lon'][:] #lon variable\n",
+ "time_observation = observation.variables['time'][:] #time variable\n",
+ "temperature_observation = observation.variables['temperatura'][:,:,:] #temperatura variable; time is the first dimension"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e41fc5c3-71e1-4a5e-ad41-9f92f0d4b02e",
+ "metadata": {},
+ "source": [
+ "## 8) Nan values in temperatura variable"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a21eb6f6-c10c-43df-8fbe-41f11fdd887c",
+ "metadata": {},
+ "source": [
+ "#### 8.1) There are nan values in the temperatura variable (temperature_observation), so it is necessary to replace them before continuing"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "id": "83a0ae9e-54bd-42c4-9db7-eea020e650a3",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "temperature_observations: [[[24.555346 22.20913 19.55323 ... 23.974134 24.205818 nan]\n",
+ " [23.840425 22.546028 21.182674 ... 23.717377 24.124369 nan]\n",
+ " [24.558758 24.092096 22.233204 ... 23.463125 23.867765 24.274193]\n",
+ " ...\n",
+ " [23.366554 23.118279 23.335127 ... 19.998968 19.034348 19.212759]\n",
+ " [23.229092 23.090694 23.18321 ... 19.71424 18.455933 19.171835]\n",
+ " [22.799225 23.16104 22.988428 ... 19.514805 18.255274 19.366264]]\n",
+ "\n",
+ " [[23.0389 21.056534 18.775661 ... 23.96885 24.088018 nan]\n",
+ " [22.427336 21.402102 20.331194 ... 23.654697 24.104513 nan]\n",
+ " [23.250803 22.956852 21.182058 ... 23.250193 23.770754 24.237524]\n",
+ " ...\n",
+ " [22.315239 22.061996 22.45395 ... 19.178183 18.466454 18.959047]\n",
+ " [22.154556 22.138018 22.50622 ... 18.981682 17.976265 19.02524 ]\n",
+ " [21.689274 22.266026 22.445536 ... 19.017405 17.89095 19.179226]]\n",
+ "\n",
+ " [[22.343906 20.277494 17.913841 ... 23.996265 24.072655 nan]\n",
+ " [22.035135 20.915142 19.743467 ... 23.776476 24.126013 nan]\n",
+ " [23.162138 22.762518 20.841576 ... 23.462816 23.886011 24.253199]\n",
+ " ...\n",
+ " [21.690039 21.543283 21.937859 ... 18.68862 18.109158 18.528967]\n",
+ " [21.50726 21.595219 21.917984 ... 18.546303 17.673153 18.586145]\n",
+ " [21.033607 21.717821 21.819033 ... 18.69738 17.65333 18.914858]]\n",
+ "\n",
+ " ...\n",
+ "\n",
+ " [[22.1651 21.804245 21.159018 ... 23.242376 23.38883 nan]\n",
+ " [21.1013 21.231966 21.87853 ... 22.959482 23.290792 nan]\n",
+ " [21.798988 22.133074 21.45562 ... 22.61922 22.995327 23.33737 ]\n",
+ " ...\n",
+ " [25.717855 25.349943 25.471373 ... 19.85753 19.223642 18.468893]\n",
+ " [25.415424 24.804497 25.212902 ... 20.265314 19.273119 18.70708 ]\n",
+ " [24.730215 24.215496 24.590906 ... 20.569252 19.746174 19.631704]]\n",
+ "\n",
+ " [[20.864983 20.555113 19.953959 ... 23.04753 23.012321 nan]\n",
+ " [19.79059 20.03081 20.736107 ... 22.819712 23.089334 nan]\n",
+ " [20.47669 20.979984 20.398249 ... 22.538631 22.849897 23.129498]\n",
+ " ...\n",
+ " [24.266624 23.86443 23.978024 ... 19.3909 18.710451 17.99421 ]\n",
+ " [23.969128 23.410042 23.77722 ... 19.718107 18.679354 18.17804 ]\n",
+ " [23.27986 22.92126 23.237013 ... 19.669067 19.021667 19.106825]]\n",
+ "\n",
+ " [[20.596725 19.856867 18.815603 ... 22.66553 22.478777 nan]\n",
+ " [19.287607 19.183558 19.531748 ... 22.552382 22.692806 nan]\n",
+ " [19.737114 19.983452 19.254025 ... 22.407568 22.572783 22.719149]\n",
+ " ...\n",
+ " [23.212502 22.847034 23.080774 ... 18.968071 18.326773 17.823513]\n",
+ " [22.975115 22.516788 22.9536 ... 19.188316 18.188711 17.953955]\n",
+ " [22.350718 22.17121 22.522942 ... 19.26278 18.466291 18.797155]]]\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"temperature_observations:\", temperature_observation)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8d3ab008-d42b-407e-92dc-14394b768511",
+ "metadata": {},
+ "source": [
+ "#### 8.2) I decided to replace nan values with the mean of the temperature values that are not nan"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "id": "57047a93-ac37-46ac-bb79-3fbc30ad39b2",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "mean_temperature_observations: 21.62573\n"
+ ]
+ }
+ ],
+ "source": [
+ "#calculating the mean of the temperature values that are not nan\n",
+ "mean_temperature_observation = np.nanmean(temperature_observation)\n",
+ "print(\"mean_temperature_observations:\", mean_temperature_observation) #temperature in celsius\n",
+ "\n",
+ "#replace nan by the mean of the temperatura variable elements\n",
+ "temperature_observation[np.isnan(temperature_observation)] = mean_temperature_observation"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "56f0a01a-f597-4019-ab9d-39fc0debd947",
+ "metadata": {
+ "tags": []
+ },
+ "source": [
+ "#### 8.3) Now, the temperatura variable (temperature_observation) doesn't have nan values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "cf6c6a70-6b72-4b91-8c4a-bac87f945680",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "temperature_observations: [[[24.555346 22.20913 19.55323 ... 23.974134 24.205818 21.62573 ]\n",
+ " [23.840425 22.546028 21.182674 ... 23.717377 24.124369 21.62573 ]\n",
+ " [24.558758 24.092096 22.233204 ... 23.463125 23.867765 24.274193]\n",
+ " ...\n",
+ " [23.366554 23.118279 23.335127 ... 19.998968 19.034348 19.212759]\n",
+ " [23.229092 23.090694 23.18321 ... 19.71424 18.455933 19.171835]\n",
+ " [22.799225 23.16104 22.988428 ... 19.514805 18.255274 19.366264]]\n",
+ "\n",
+ " [[23.0389 21.056534 18.775661 ... 23.96885 24.088018 21.62573 ]\n",
+ " [22.427336 21.402102 20.331194 ... 23.654697 24.104513 21.62573 ]\n",
+ " [23.250803 22.956852 21.182058 ... 23.250193 23.770754 24.237524]\n",
+ " ...\n",
+ " [22.315239 22.061996 22.45395 ... 19.178183 18.466454 18.959047]\n",
+ " [22.154556 22.138018 22.50622 ... 18.981682 17.976265 19.02524 ]\n",
+ " [21.689274 22.266026 22.445536 ... 19.017405 17.89095 19.179226]]\n",
+ "\n",
+ " [[22.343906 20.277494 17.913841 ... 23.996265 24.072655 21.62573 ]\n",
+ " [22.035135 20.915142 19.743467 ... 23.776476 24.126013 21.62573 ]\n",
+ " [23.162138 22.762518 20.841576 ... 23.462816 23.886011 24.253199]\n",
+ " ...\n",
+ " [21.690039 21.543283 21.937859 ... 18.68862 18.109158 18.528967]\n",
+ " [21.50726 21.595219 21.917984 ... 18.546303 17.673153 18.586145]\n",
+ " [21.033607 21.717821 21.819033 ... 18.69738 17.65333 18.914858]]\n",
+ "\n",
+ " ...\n",
+ "\n",
+ " [[22.1651 21.804245 21.159018 ... 23.242376 23.38883 21.62573 ]\n",
+ " [21.1013 21.231966 21.87853 ... 22.959482 23.290792 21.62573 ]\n",
+ " [21.798988 22.133074 21.45562 ... 22.61922 22.995327 23.33737 ]\n",
+ " ...\n",
+ " [25.717855 25.349943 25.471373 ... 19.85753 19.223642 18.468893]\n",
+ " [25.415424 24.804497 25.212902 ... 20.265314 19.273119 18.70708 ]\n",
+ " [24.730215 24.215496 24.590906 ... 20.569252 19.746174 19.631704]]\n",
+ "\n",
+ " [[20.864983 20.555113 19.953959 ... 23.04753 23.012321 21.62573 ]\n",
+ " [19.79059 20.03081 20.736107 ... 22.819712 23.089334 21.62573 ]\n",
+ " [20.47669 20.979984 20.398249 ... 22.538631 22.849897 23.129498]\n",
+ " ...\n",
+ " [24.266624 23.86443 23.978024 ... 19.3909 18.710451 17.99421 ]\n",
+ " [23.969128 23.410042 23.77722 ... 19.718107 18.679354 18.17804 ]\n",
+ " [23.27986 22.92126 23.237013 ... 19.669067 19.021667 19.106825]]\n",
+ "\n",
+ " [[20.596725 19.856867 18.815603 ... 22.66553 22.478777 21.62573 ]\n",
+ " [19.287607 19.183558 19.531748 ... 22.552382 22.692806 21.62573 ]\n",
+ " [19.737114 19.983452 19.254025 ... 22.407568 22.572783 22.719149]\n",
+ " ...\n",
+ " [23.212502 22.847034 23.080774 ... 18.968071 18.326773 17.823513]\n",
+ " [22.975115 22.516788 22.9536 ... 19.188316 18.188711 17.953955]\n",
+ " [22.350718 22.17121 22.522942 ... 19.26278 18.466291 18.797155]]]\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"temperature_observations:\", temperature_observation)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "43033729-e498-43a1-9a55-a005df1081ee",
+ "metadata": {},
+ "source": [
+ "#### 8.4) It is possible to check that the fill value nor the missing value aren't present (not written) in temperature_observation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "id": "1ad3c925-9149-490e-ac21-4528a792a021",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "31.968285\n"
+ ]
+ }
+ ],
+ "source": [
+ "#looking for the maximum value in temperature_observation\n",
+ "max_temperature = np.max(temperature_observation)\n",
+ "print(max_temperature)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bfcc030a-0830-4ac2-b88f-8a14aa6e0cac",
+ "metadata": {},
+ "source": [
+ "## 9) Convert temperature from Celsius to Kelvin"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "585e4161-c81d-4384-98a9-bb8fbda329f8",
+ "metadata": {},
+ "source": [
+ "#### 9.1) temperature_observation variable has to be converted from Celsius to Kelvin (SI unit). The reason is that t2m_forecast variable is in Kelvin (K) and temperature_observation variable is in Celsius (C)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "id": "3b154fa9-1669-4aef-85b6-32a93dffc92f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "temperature_observation[:, :, :] = temperature_observation[:,:,:] + 273.15 #Kelvin"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5d401308-5eaf-4de4-89f7-6b7b04124d8f",
+ "metadata": {
+ "tags": []
+ },
+ "source": [
+ "## 10) Data from São Paulo "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4a69cc09-52eb-4e24-a4dc-8e4e2da5b85e",
+ "metadata": {},
+ "source": [
+ "#### 10.1) Data from São Paulo is obtained using the following coordinates: Latitude=8, Longitude=26 "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "id": "ce17cab4-fb0c-4709-86b7-536f503d6f2f",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "São Paulo latitude coordinate (observation): -23.52493\n",
+ "São Paulo latitude coordinate (forecast): -23.524933\n",
+ "São Paulo longitude coordinate (observation): -46.6783\n",
+ "São Paulo latitude coordinate (forecast): -46.6783\n"
+ ]
+ }
+ ],
+ "source": [
+ "#create an array for latitude and longitude of sao paulo that covers the observation and forecast datas\n",
+ "temperature_observation_sp = temperature_observation[:, 8, 26] #time, latitude, longitude\n",
+ "t2m_forecast_sp = t2m_forecast[:, 8, 26] #time, latitude, longitude\n",
+ "print(\"São Paulo latitude coordinate (observation):\", latitude_observation[8])\n",
+ "print(\"São Paulo latitude coordinate (forecast):\", latitude_forecast[8])\n",
+ "print(\"São Paulo longitude coordinate (observation):\",longitude_observation[26])\n",
+ "print(\"São Paulo latitude coordinate (forecast):\", longitude_forecast[26])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d0d6b089-aeef-4a50-aedd-561f08f218ce",
+ "metadata": {},
+ "source": [
+ "## 11) Calculate Root Mean Squared Error (RMSE) of 6-hour time periods\n",
+ "\n",
+ "$\\text{RMSE}(f, o) = \\sqrt{\\bar{(f - o)^2}}$"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1f8526c1-d7f1-4910-9bfe-fbf438dca848",
+ "metadata": {},
+ "source": [
+ "#### 11.1) I computed two sets of values for the RMSE. The first (RMSE_matrix), computes the mean value only in the time dimension. That is, there is are RMSE values for each latitude and longitude pair, for each time interval of 6 hours. The second (RMSE_array and RMSE_sp_array), computes the mean in all dimensions. That is, there is only one RMSE value for each 6 hour interval. This approach allows vizualization of the data both in terms of location (first set) and in terms of the time interval (second set)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "id": "35bdc2af-568d-433b-9ffa-2836ca42e1fb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "RMSE_matrix = np.zeros((12,25,37))\n",
+ "RMSE_array = []\n",
+ "RMSE_sp_array = []\n",
+ "len_time_forecast = len(time_forecast) \n",
+ "i = 0\n",
+ "timee = 0\n",
+ "\n",
+ "for i in range(int(len_time_forecast/6)):\n",
+ " \n",
+ " #calculating RMSE in a 6-hour-interval that results in a matrix\n",
+ " RMSE_matrix[i-1,:,:] = np.sqrt(np.mean((t2m_forecast[timee:timee+6,:,:] - temperature_observation[timee:timee+6,:,:])**2, axis = 0)) #axis = 0 is fixed. Axis=1 and axis = 2 vary \n",
+ " \n",
+ " #calculating RMSE in 6-hour-interval that results in an array\n",
+ " RMSE_array.append(np.sqrt(np.mean((t2m_forecast[timee:timee+6,:,:] - temperature_observation[timee:timee+6,:,:])**2)))\n",
+ " \n",
+ " #calculating RMSE in a 6-hour-interval for São Paulo (X=26 and Y=8) that results in an array\n",
+ " RMSE_sp_array.append(np.sqrt(np.mean((t2m_forecast[timee:timee+6, 8, 26] - temperature_observation[timee:timee+6, 8, 26])**2)))\n",
+ " \n",
+ " timee = timee + 6 "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bfcea825-0f0f-4de1-beb9-6ab94f01d6b4",
+ "metadata": {},
+ "source": [
+ "## 12) Date and time of forecast and observation datasets"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e7d4e469-69bc-4e05-a3a7-8f00e2770233",
+ "metadata": {},
+ "source": [
+ "#### 12.1) It is possible to see, by means of analysing the datasets information, that this data corresponds to: since 04/14/2018 (forecast) and since 04/13/2018 (observation). It will be taken into consideration the following day/month/year: since 04/14/2018"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "id": "28cd563b-3015-441b-9e75-ebe5c8f91b75",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "hours since 2018-4-14 00:00:00\n",
+ "hours since 2018-04-13 00:00\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(forecast_variables['time'].units)\n",
+ "print(observation_variables['time'].units)\n",
+ "\n",
+ "#defining the date/month/year and the time period analysed\n",
+ "date_time = [\"04/14/2018, 12am-6am\", \"04/14/2018, 6am-12pm\", \"04/14/2018, 12pm-18pm\", \"04/14/2018, 18pm-00am\",\n",
+ " \"04/15/2018, 00am-6pm\", \"04/15/2018, 6pm-12pm\", \"04/15/2018, 12pm-18pm\", \"04/15/2018, 18pm-00am\",\n",
+ " \"04/16/2018, 00am-6am\", \"04/16/2018, 6am-12pm\", \"04/16/2018, 12pm-18pm\", \"04/16/2018, 18pm-00am\"]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ddf8a9a4-e946-46eb-a50f-d1b53a7c66cc",
+ "metadata": {},
+ "source": [
+ "## 13) Plot the heatmap of RMSE matrix values"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "16d40137-d4e5-41d2-a3fc-6c1aa3f01b5a",
+ "metadata": {},
+ "source": [
+ "#### 13.1) Use Seaborn library to plot the heatmap of RMSE matrix values (RMSE of each 6-hour time period)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "id": "b7498e26-8270-4427-880a-e0c4d3a4b392",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#defining figure size\n",
+ "fig = plt.figure(figsize = (110,110)) #figsize = (width,height)\n",
+ "\n",
+ "#plotting the heatmap of the 6-hour time periods RMSE\n",
+ "for i in range(12):\n",
+ " \n",
+ " #defining subplot dimension\n",
+ " plt.subplot(4,3,i+1)\n",
+ " ax = sns.heatmap(data=RMSE_matrix[i])#, cbar_kws={'label': 'Root Mean Square Error [K]'})\n",
+ " \n",
+ " sns.set(font_scale=5)\n",
+ " \n",
+ " cbar = ax.collections[0].colorbar\n",
+ " cbar.set_label('Root Mean Square Error [K]', labelpad=40)\n",
+ " \n",
+ " plt.xlabel('Longitude Index', labelpad=22)\n",
+ " plt.ylabel(\"Latitude Index\", labelpad=22)\n",
+ " plt.title(date_time[i], pad=50)\n",
+ " \n",
+ " \n",
+ "fig.suptitle('RMSE of 6-Hour Time Periods [mm/dd/yyyy, hh-hh]', fontsize = 100, fontweight = 'extra bold')\n",
+ "\n",
+ "#save plot\n",
+ "plt.savefig('RMSE_matrix.png', bbox_inches = 'tight')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "70d94e28-a59b-4000-8941-ef731e7e37b9",
+ "metadata": {},
+ "source": [
+ "## 14) Plot the graph of RMSE array values"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c9cb1cd5-0d6a-42a5-8dc5-9c58f28d5a41",
+ "metadata": {},
+ "source": [
+ "#### 14.1) Use Matplotlib library to plot the graph of RMSE array values (RMSE of 6-hour time periods)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 65,
+ "id": "b29f326a-536d-46c7-aa7a-533e0a776e89",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#horizontal bar plot\n",
+ "fig = plt.barh(date_time, RMSE_array, color='deepskyblue')\n",
+ "\n",
+ "#show the value of each bar\n",
+ "for i in range(len(RMSE_array)):\n",
+ " plt.text(RMSE_array[i], i-0.1, str(round(RMSE_array[i], 2)), fontsize=12)\n",
+ " \n",
+ "#adjust xticks and yticks\n",
+ "plt.xticks(rotation=70, fontsize=12)\n",
+ "plt.yticks(fontsize=12)\n",
+ "\n",
+ "#label x-axis\n",
+ "plt.xlabel('Time Period [mm/dd/yyyy, hh-hh]', fontsize = 15)\n",
+ "\n",
+ "#label y-axis\n",
+ "plt.ylabel('RMSE [K]', fontsize = 15)\n",
+ "\n",
+ "#label the plot\n",
+ "plt.title('RMSE of 6-Hour Time Periods', fontsize = 20, fontweight = 'extra bold')\n",
+ "\n",
+ "#save the plot\n",
+ "plt.savefig('RMSE_array.png', bbox_inches = 'tight')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e8cf2748-a8be-4092-85e3-fa591c420914",
+ "metadata": {},
+ "source": [
+ "## 15) Plot the graph of RMSE array values for São Paulo"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d49b300b-69cd-4c62-ac6f-ec961b937f85",
+ "metadata": {},
+ "source": [
+ "#### 15.1) Use Matplotlib library to plot the graph of RMSE array values (RMSE of 6-hour time periods) for São Paulo "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "id": "418e2803-02db-437d-a570-8d8b375a6be9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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Mid62bZt++ukn/fzzz7r77rs1ZMiQgMddsmSJnnzySctVQ7Kzs5Wdna3Vq1frt99+03PPPacrr7xSd9xxh2Wh0A6BegtYPbY3bdqkJ554wnJaW9GyqevXr9eff/6pESNGaMCAARo2bFipRhT9/vvvuv3224sN3c7OzlZOTk6Z3ksi9bwvKCjQs88+q08//dQw3HzVqlVatWqVPv30U911110h57xq1SoNGzbMsjGsx+PRvn37tG/fPq1evVq//PKLmjZtqpEjR0Z9zrndr7MLFizQ1VdfXeyz1apVq7R169ZSPW6qVaumDRs2mG4bNWqUlixZojPPPFOdO3dW8+bN5XA4Sj01auzYsXr66actR2Z4PB55PB7t379fmzZt0uzZs/X++++rV69eeuqpp1SrVq2A+585c6aeffZZrVixwnTfRcuUzpw5U6+88opOP/103XvvvVF/DAV6vTJrurxx40bdc889Wrx4seX9ipaP3LFjh5YuXarvv/9etWrV0lNPPRVXS7OuWLFCTz75pObOnWu6/eDBg9q6davmzZunt956S126dNH9998fUtE7UVAUQFRlZWUFbPpXv359ud3BP0zNigLz5s2Tz+eT0+mU3+83XXnA7H4lHeenn34y3eb3+/XHH3/ojz/+kKQjV9569Oihk08+ucQrR7EuKytLN910U8Ah1kfbvXu3nnzySc2ePVsvvfRSmVcOKIvly5dbTh047rjjtHnzZt13332GIZNLly7VxIkT9dprr+m+++6zbfij1ZXEssrOztZtt90WUtPNnJwcvf7665o5c6befPPNmGqG98gjj5hOC+ratavq1asXhYzs8/3332vSpEmWc56LbNiwQXfccYcaNWpkOVqmiN/v14gRI9S8eXOdeuqpprcZO3asHnnkkYCF3aN5PB59+OGHmjVrlkaPHh2V6Tf5+fmaPn265XazK6lTp07VXXfdFdISYD6fT2PHjtWcOXP0wQcfqHHjxkHfd//+/Xr00UdN53KXZf5wJJ/3w4YNK3FFFq/XqxdffDGknJcvX65rrrkm5OXX1q1bp8svv1xjx46N2vB+u19nvV6vHnjgAdPn5FlnnaXU1NSg91WkS5cuyszMtNw+c+ZMzZw5U1LhtNCOHTuqe/fuOumkk3TssccGfZzRo0fr+eefDzk/SZo0aZKuv/56ffXVV5ZXut9//32NGDGixNfJf/rjjz80a9YsjRw5Ut26dStVbmU1a9YsHTx40HL70a9XGzZs0CWXXGL6fliSHTt26Oabb9aoUaPiYkrrTz/9pIcffliHDx8O+j5z5szRFVdcoeeee07nnHNOBLOLP+WnPSrihs/n08aNG/XVV1/p2muvDbg+fP/+/UPad9euXQ2x/fv3a/ny5ZIK54qaDbXq0qVLSMe56qqrSuxiXWTXrl367bff9Nhjj6l379666KKL9NlnnwUckheMYcOGqW/fvkH/CdQ5OVgHDhzQ4MGDQyoI/NNvv/2mu+++u8x5lEVWVpbltvz8fF155ZUB51BmZ2fr3//+d9iHvtnJ4/Fo6NChpV6FY86cObrhhhtiZuWFRYsWacaMGabbzjvvPJuzsd/EiROD/qC7dOnSEgsC/2Q1vWHKlCl66KGHQioI/NPy5ct16623hvQBPRy2bdumYcOGWV75lGQYirxixQrddtttpV4TfOvWrRo8eHBIr/n//e9/TUevORyOUj+mI/m8HzNmTMSWaH300UdLfe737dunBx54IMwZBScar7Pjx4+3HAlX2sfNJZdcEvSIhezsbP3555965pln1K9fP/Xv31/vvvtuiSMxV69eHXKxyGwfX3zxhem2//73v3rhhRdK9XqTk5OjG2+8UYsWLSpTfqHy+XyaMWOG5ZD9Ike/Xt1///2lKggUKRrxY9VcMlZMnjxZ999/f0gFgSIej0f33ntvmZfZLG8oCsAWDz74oFq0aKEWLVqoVatWOvPMM/Xoo49adlSVCufhhzqPu3nz5qbLuBSNDjAbJVClSpWQr8Z26NBBN954Y0j3KbJ48WINHz5cZ5xxRtDrHpvZtm2b1q9fH/Sf0n54/6enn346YFObtLS0Ekd3jB8/vljn74YNGx5ZLszKP5cVK8t8VEkBl0OaNGmS5bSQo40cOdKyR0Sse/vttwPOk01OTlb9+vUDjuhYtGiR3n777UikFzKrBqFpaWmG+a4IzeLFiw3PiYMHD2rYsGGWH7AHDx6syZMna+7cuXr77bctR0dlZmbqyy+/DHvO/zR+/Hj17dtXZ511lnr27KlTTz21xOdt3759j/zb5/Ppvvvus7xSN3DgQI0fP16ZmZn65JNPLN9LNm7caFlgMWP1mO7YsWOpXwMj9bz3+/168803Ax67atWqIc9llwoLKlZfxh566CHNmTNH8+bN03vvvWfZN2TmzJkBC72BFC0R16BBA8vbpKamFlsOskg0XmetHjdFPQVKo0GDBqUurKxZs0YjRoxQ7969NWrUKMtReh999FHApZndbrdq1qypOnXqBOwT8e233xpiGzZs0PDhwwPmWadOHVWpUsVyu8fj0X333RfxQnjRxZ4+ffqoU6dOGjRoUMALGbVr1y5WFJg3b54WLlwY8BiVK1dWgwYNAk7fWrVqle1FkFBkZ2fr3nvvDVjkqVGjRsDXHL/fr4cffjikqcPlHUUBxCSn06nhw4eHPOTP6XSqc+fOhnhRpd6sYt+5c+egr/r/07333qvbbrut1I2M9uzZowceeKDEN6tYsXr1an3//fem2xwOh+644w7Nnj1bEydO1KRJkyyHHEvSm2++eeTF/KOPPtK4ceP0+OOPW96+T58+GjdunMaNG6ePPvqoLD9GiWskh+Kpp56ybP4Tq/bs2WPZAEqSrrjiCs2YMUMTJ07UjBkzTBsvFvnwww9N58jGitNPP10ZGRnRTsMWLpdL119/vUaOHBnUkl0VK1bU/fffr//85z8lDos9ev7tp59+atkc9eqrr9a9996r2rVrq2LFijrttNP00UcfKSkpyfT2o0ePjugVqZycHK1fv14bNmywXP3lnzp06FDstWvcuHGWXdRPO+00Pfvss2rUqJHS09PVtWtXffLJJ5Y9R7766qsyjxA7//zzS3W/SD7v586dG7DA/9BDD2nGjBmaNm2a3nzzzZB6SVgtVZuRkaFrrrlGlSpVUkZGhk455RS98sorOu2003TJJZfolltu0aOPPqo33nhDX375ZbEv66F44YUXNG7cOL311luWt2nbtu2R96dx48ZJir3X2QEDBpTqc06RK664QsOHDy91L5mDBw/qxRdf1G233Wb6xXrSpEmW97399ts1c+bMI80BJ0yYYDklbN26dYbHzKuvvmr5Zb5Zs2b64YcfNGnSpCN9BNLS0kxvu2HDhoiNhilSdLFn06ZNAacMFBk6dGixolKg89i5c2f98ssvmj179pFpEZdeeqnl7YumhMSi9957z3I0RK1atfTZZ59p2rRpmjZtmj788EPLaWr79u3Tp59+GslU4wo9BRBz0tPT9cILL+iMM84o1f27du16ZD5/kaK+AmaNSEKdOvBPQ4cOVa9evfTqq69qypQppdrHZ599piZNmujqq68udR52+Omnnywr+ZdddpluueWWI/+vUaOGXnvtNfXv31+bN2823H7z5s2aP3++aQEn0rxeb8DtSUlJuvPOO3XBBReoQoUKmjp1qp544gnt3LnTcNvdu3dr7NixuvzyyyUFP/+/tNMvwmHChAmWHzZOOeUUPfbYY0f+n5GRoaefflrr1683nVOak5OjiRMnxswQ/Y4dO+qpp55S/fr1tWTJkpjqeRBp//73v3XFFVdIks444wwdOHCg2Iico33wwQdHVmU544wzdO6551oOqT/66mPRFx8zZiOoGjZsqFNOOcXwuiwVrqqwcuXKmOjyXbt2bb366qvFYoGmWpj9rJUrV9a5556rjz/+2LAtNzdXM2bMCOm97bLLLtNtt92mlJQUzZgxQ927dw/6vv8Uyed9oKvwp59+erEi1emnn667775bTz31VFB5W40gy8nJ0c0336zzzjtPLVu2VP369dWqVauYGb0U7dfZM844Qw899JCqVKmi+fPnh6VR3qWXXqquXbvq9ddf16+//hrwyr6VCRMmaMSIEcVGHvh8Pr344ovavn27tm/frr///vvInyZNmujWW28tto969erpjDPOMH2OSYVfrIsaDubm5mr8+PGmt0tJSdE777xzZCSTw+HQ2WefrQMHDuiRRx4xvc8PP/wQM0vODhw4UJdcckmx2Pnnn68TTjjhyPkrOp+7du3SiBEjij2fkpOTdfnll+urr74y3X+gEQrR9sMPP1hue+ONN9SuXbsj/+/evbteeumlYg3Hj97XbbfdFvYc4xFFAcSM5s2bq2/fvrr88svL1HzK7Et+dna2fvnlF9OrW2Z9CELRpk0bjRo1SuvWrdP333+vCRMmhLxu7Ntvv61LL700qg34SjJt2jTLbUVfRv4pJSVFF1xwgeXc+7lz50alKFBSo6W77rpLN9xww5H/9+nTR9WrVz/yxf9oU6ZMsdwWi0L9PTocDl166aWWjabmzp0bE0WB1NRUvfbaa6pZs6YkReWxFS0pKSm66KKLisV69uxpWRRo1apVsWVak5OTdfLJJ1sWBf755Wb//v2WHeBr165t+SWubdu2pkUBqXCIdLSLAqeccoqeeeaZI4+fIlbzwd1ud7Fz+E+BulovXrw46KJA69at9fjjjx+5wnvmmWcGdT8zkXzeB3q/M8v5ggsu0DPPPBPUl8q6deuqRYsWpoXUP//8U3/++aekwlGCtWvXVpMmTdSyZUt17txZPXv2LFVjvXCI5utszZo19fLLLx+5qn/SSScFdb9gNGnSRC+//LLuu+8+/fjjjxo3blzA5r1mPv30Uw0ePPjI0qROpzOoJn67d+/W1KlT9dtvv1muACKp2BzzuXPnWo4SOPXUU02nNp1//vl6+umnTeeqz58/X16vN6QG2OGWlpamW265RYMHDzZsa9q0aYkFoPz8fC1YsEDjx48P2GA7UL+vaFqzZo3lNM/WrVsXKwgU6dmzpxo2bGh6kWrTpk3avn27ateuHfZc4w1FAdiiZs2a8vv9AYdvZmdny+12l3m4b6tWrVSxYkXDcDuzOY8VK1YM24fRpk2b6q677tJdd92l7du3a8aMGZo1a5YmT55c4rDVXbt26Y8//tDZZ58d9PE+/vjjUs8RLA2rqnFSUpKOO+44022BrpxHqwpdsWJFy21paWmm6+p27NhRXbt2NZ0fWtTEMlJKGlUQaK17M4HOe6tWrUzjgZ4jsXI14dRTTzV8oUsUDRo0MBQUAw3RNhtKbdaLpcg/h/fv2LHDcrj/9u3bS7VaRqCh55GQmpqqihUrqnHjxmrfvr3OOecc08f+oUOHLIeoer3eUi1pFcrPeuGFF5ZpyPc/RfJ5H6gJoNmKCxkZGapdu7a2bdtmeb9/evDBB3XjjTcGHOXl8/m0bds2bdu2TdOnT9fo0aNVsWJF/etf/9K1115re8E9mq+zAwYMiPiSsXXr1tWQIUM0ZMgQ7d27V7NmzdKsWbM0adIkbd26NeB9PR6PxowZE7AvU25urpYsWaJly5Zp8eLFWrx4caleJwLlYnW+k5OT1aRJE9P39sOHD2vv3r22vdc4nU6lp6erSpUqatWqlbp06aLzzjsv4Ov1P/l8Pq1Zs0ZLly7VkiVLtHjxYi1fvjwsPaaiJdDv1Oq5JRV+HjUrCkiFo0soClAUgE3uvvtuDRw4UIsWLdLdd99t+sTcvn27Xn75Zc2aNUvvvvtuqSuxTqdTnTp10l9//VUsbtZ9v3PnznI6w99ao3bt2jr//PN1/vnny+fz6Y8//tCTTz4ZsIldqKML7Gb1wS8tLc3yHFotDSSpzHNrSyvQ8nSNGjWynPvctGlT06KAVWOnWBXoA7zV7yvQF8yy/h5Lms4RrE6dOoVlP/HI7GpooC+TZfnCUJau1lYi2Zfiggsu0HPPPVeq+5a2430gofys4XxMR/J5H+iKotX8bKu4me7du+uVV17Rv//9b9PVg6wcOHBAL730kubNm6fXX3/d8rU9EqL5Omv3a2HVqlWPrHIkFc5FHz58eMAVj8w+7xw8eFD//e9/9fPPP2vp0qVhWZmkNL8HKfDvIicnJ2JFgXBd7JkyZYq++eYbTZs2LWp9fyK1skykfqegKACbtW3bVm+88YYGDhxo+YIxbdo0Pfvss5ZzuoLRpUsXQ1HA6nahuvLKKy2vcAwaNMhwpdnpdKpPnz6qVauWYf7XP5nNWY8llSpVMp1+cejQIfn9ftMvIYFeaIOtdIdboKF1gYaaWr2hxPqyPUcLNM/+4MGDpiMpIvl7DNcHlrKuSoHgRGI4dqxetYrE1dZQhuSG8zEdyed9oA/iVsuFhfohvE+fPuratavGjBmjyZMna/78+UE1YpMKpxl88MEHGjJkSEjHLItovs6G83Fzzz33WPaM6Nu3r+6//35DvFu3bnrvvffUt29fy+f20Z93Fi9erFtuucWysaRU2Ey1TZs2Oumkk7Rhwwb99NNPJeZf0u/BSix+dgnG4cOHdffdd1tO1SpSr149nXTSSWrRooWefPLJMh/X7HNQJArIUuL9Tu1EUQC2a9mypS6++OKAS1F9+umnOu2000o9Fy7YPgGlKQqkpqZaDl+aMGGC6fBzSWrXrp0qVapkWeUMNKw9FtSpU8e0KODxeLR27VrTKQSBhr4HWoIwkurWrau6deuaFnbWrVtnOV9wy5YtpvsrzTJb0VSnTh3LpYZWrFhhOoTOqvt60f6CkZOTYzi3mzdvDvqDfUmsOr4jvAKNtKlXr96ROd7lQeXKlZWRkWH6YTIpKUmZmZkRG5aenJwc8Mt2qCL5vA807Hb9+vVq3759sdiBAwdKVQSvXLmyBg0apEGDBqmgoEBr167V8uXLtWLFCi1btkwLFy60XA3m448/trUoEK3XWSm8r4Xp6emWn3fGjx+v++67z/SCQP369XXcccdZ9h/55+edoqaRVo+Jnj176sILL9RJJ5105MvbiBEjgso/0Hk7elWVIvn5+Zb9VdLS0gIuXRhtzz//vGVBoG7durriiit0+umn69hjj5VU+JknWIFGn5mN4An0eC6L0vxOpcD5hLrSWXnFkoSIiqFDh5Y4fHDEiBGlvgrbunXrEj9Qpaenq3Xr1iHvO9DQrlmzZlku47Ju3bqAw56OP/74kHOxU48ePSy3mRV48vPzA3aIDbS/SDvttNNM4wcOHNCYMWMM8e3bt1s2NjrhhBOO/HvlypVB/YmmUH+PkvTNN98EvT+rK8ler1czZswoFvvss88s9xuqaDUUSzRVq1a1XA8+Kysr4BSpeONwOEybVkmFxdDFixdH7NjhfjxH8nkf6L3r559/NsR+/PHHMo2wOnDggLZt26bmzZvrvPPO07Bhw/TRRx9p5syZln15du7cGbErl2Yi/TobSDgfO4E+72zatMmymenevXstv1hLxR8zP//8s2VB4NJLL9Xo0aPVv3//Yldz169fX0Lmhbp27Wo5bWTSpEmmr1c//PCD5Yiebt26RWTKaTjk5ubq66+/Nt1Ws2ZNff/99xoyZMiRgoAU/HmUAo+cmjVrVrFRITk5OZZLWJdV8+bNLadvLF68WEuXLjXEZ8yYYXlhp3nz5nF3cSdSYvORjXKvZs2aJa6lvWzZMsulZEricrnUsWPHgLfp1KmTXC5XyPs+++yzA74pDB06VGPGjCn2ppKZmWlYVuefKlSooF69eoWUxzXXXKMWLVqE9Of1118P6Rj/dM4551hWij/99FONGjXqyJvC7t27dffdd2vjxo2mt2/SpEmpCjLhEmgax1NPPaUxY8Ycmd6yadMm3X777ZZXtPv06RORHCPlzDPPtHxznzhxop599tkjP2tOTo4ee+wxzZkzx/T2VapUMYzmCXQV5d5779Wnn36qCRMm6KGHHtIHH3xQuh/CRKx+UCuPAjVEfffddw2x/Px8PfDAA7rnnnv07LPP6r333tPYsWM1bdo0rVy5MmanD0iBf9b33nvPEPP7/XrmmWd055136qmnntI777yj7777TpMnT9by5cstr2QfLdyP50g+70866STLfKdMmaK33nrryOvp1KlTg77K6/f79dxzz+mOO+7QFVdcoT59+qh9+/bq3LmzzjzzTMOc9dTUVMvfl8vlCqmPQVlF+nU2kHA+dk499dSAc7Efe+wxffjhh8VG06xevVo333yz5Xumw+E40n9ACnx112wVmaVLl2rSpEnBpK+MjAydeuqpptsOHTqkIUOGHHkc+f1+jR8/Xs8884zl/s4555ygjhsNa9eutVxpoVmzZoYh8vn5+aavYVYCjUDJysrSjTfeqHHjxmnMmDG6/PLLS2w4WVoOh0P9+/e33H7bbbdpwYIFR/4/Z84c3XfffZa3j+Xfqd2YPoCoGTx4sL788suAjYNef/119enTp1QdmLt27aopU6ZYbi/N1AGpcL7eeeedZ3pFWSq8ivHAAw/oscceU40aNbRv374SmwQNGjSozKsuRFrLli11/vnnm/7cfr9fL774okaOHKlq1arp77//DthA7s477wxbV+3SaNWqlfr166dffvnFsO3w4cN64IEH9PTTTystLS3gHMe6devqrLPOimSqYVe9enUNHjzYcsWCDz/8UF988YVq1qypHTt2BPzCNmTIEMOInJYtW+rvv/82vf2+ffvCMn8R0XXNNdfo448/Nn1d+/TTT5WcnKxrr71WVapU0eLFi/Wf//xH8+bNM91XixYt9O2330Y65VI777zz9NZbb5l+wP3zzz91//3369Zbb1XdunW1atUqjRw5UhMnTjTdV82aNfXLL7/Y+uW0SCSf97Vr11bPnj0t329feeUVffDBB0pJSQn4eno0h8OhFStWGEYYSYVNzG6++WY98sgj6tChg/x+vzIzMy0LDscff7ytKxBE+nXWLunp6br++ustfw6Px6Nnn31WL730kmrVqqWcnJwSR2QMGDBAjRo1OvL/QEWMUaNGqVmzZjr22GO1Y8cO/fLLL3rrrbdCKiTec889+uuvv0y/MK9YsUL9+vVTvXr1dPDgwYCfR5s3b65+/foFfVy7BTqPs2fP1tixY3XGGWeooKBAc+bM0ciRIy2nd5gpaWWZohUo7HDTTTdp7Nixpr+vrVu36tJLL1WtWrXk9/sDTlWqUaOGrr766ghmGl+4tIKoycjI0M033xzwNqtWrTL94haMkr70B9t3wMy9995b4vIleXl52rp1a4kFgdatW5d4HmLF/fffb7qcWZGDBw9qy5YtAQsCF154YbGrBNHy73//O2AH4QMHDpT4AfbRRx+1famrcBgyZEjAkTR5eXnasmVLwA9eJ510kgYNGmSI9+7dOxwpIoZVq1ZNDz/8sOX20aNHq1evXmrXrp2uuuoqy4JAhQoV9OKLL9raFT5UycnJevrppy0/cH///fc688wz1aZNG1144YWWBQG3260XXnghYJOsSIvk8/6OO+4IWOjNzs4OqSBQ5F//+pflto0bN+rGG29Up06d1LlzZw0ZMsRydJrZmu6RFsnzbacbb7yxxC+EHo9HW7duLbEgUK9ePT344IPFYlZTdKTCKXnnn3++2rRpo9NPP10jRowosQ+Nz+cr9v8mTZpo2LBhAe+TlZUVsCCQkZGhl19+OaZHpDVr1syyeOT1ejVs2DB16tRJXbt21a233lpiQeDoZuDVqlVThw4dwpZvWVStWlVPP/10wNG+O3bsCFgQcLvdGjFiRMCRMIkmdh/dSAhXXHGF6tevH/A2r7/+eqmWNjnhhBMsr8hUqFCh2FzwUNWoUUNvvvlmmechtW3bVqNGjYqbL5bVqlXTRx99FLAwEEj//v31xBNPhDmr0qlevbpGjRpV6qZM9957b9x+AU5JSdF7771X6jf4bt266ZVXXjF9Qz733HPVoEGDoPZTv379gGtVI3ZdeOGFZSpmVqhQQW+++WaJXzZiQffu3fXEE0+U+gtBUlKSnn322aj2UZEi+7xv06ZNwC/w/+RyuSyHdB+te/fuZX6NuOiii6IyoiuS59tOaWlpevPNN9W4ceMy7adx48b66KOPDO+5ffv2LTbPPRiBzqlZ76arr75a999/f6lGKFapUkVvvvmmmjVrFvJ97ZSSkhLycyVQjxizlYFCec0fOHCg2rRpE1I+oTjjjDP0wgsvlKqonJaWphdffFHdunWLQGbxi6IAoio5OVm33357wNusX79eP/74Y8j7TkpKsnzj6NChg2mH+VCccMIJGjt2rM4+++yQ91WxYkXdcccd+vzzz1WtWrUy5WG32rVr67vvvtOVV14Z9ItxzZo19fjjj+vll1+OqauCLVu21HfffaeTTz456PvUrFlTr776alSuPIVTRkaGPvnkEw0dOjToSnmlSpV0xx13aPTo0ZarZVSoUEEjR44scR3nLl266LPPPgu6gIDYc+edd+qFF14IubDWsWNHff311+revXuEMgu/Sy65RO+++26JReyjNWvWTB9//LEGDBgQocxCE6nnvVT4eLj++usDfvGqWLGi/vOf/4T0Jf2+++7Tgw8+GPIUu0qVKunBBx/UU089FdL9wimS59tODRo00HfffadLL7005EaGKSkpuu666zRmzJhi0waKJCcn69133w2qMJCcnKybbrpJn376qWX/miVLlpjGb7jhBn344YdBX9RwOBzq3bu3xowZE7DhYiy5+eabdcUVVwR12y5duuibb76xvLixdOlSQ0PQXr166Z577gn4HHe73brlllv0zDPPRHxkxTnnnKNvvvlGbdu2Dfo+Xbp00ZdffhnTU0GihZ4CiLoBAwbo/fffD7hcyMiRI3XOOeeE/OW7S5cumj59umk8HGrWrKlXXnlFO3fu1O+//66lS5dqxYoV2r17t3JycnTo0CG5XC5VrFhR9erVU4sWLdS9e3edfvrpUZlXGi4VKlTQo48+qltuuUXff/+95syZo1WrVmnfvn3Ky8tTpUqVVL16dbVt21bdu3fXWWedFbOjIerVq6dRo0Zp2bJl+u233zR//nxt3LhR2dnZysvLU2pqqmrVqqVWrVqpV69e6tevX0TWL4+GpKQk3XbbbRo0aJB++OEHzZo1S8uXL9fevXt16NAhZWRkqGrVqmrdurW6deums88+O6gP5i1bttSPP/6oDz/8UBMnTtSWLVvk8/lUvXp1tW7dWv369VPfvn2j2lcC4XHeeefpzDPP1G+//aapU6dq1apV+vvvv3Xw4EH5fD6lpKSoatWqatiwodq1a6fevXsblqiLFyeffLJ+++03TZw48UjjwKysLOXk5KigoECpqamqVKmSGjZsqNatW6tXr17q3r17zD3OI/W8dzgcGjZsmM466yx99dVXmjNnjnbu3Knk5GQ1aNBAp512mi699NIjheVQDBo0SBdccIEmTJigmTNnav369dq2bZtyc3OVl5cnl8ul9PR01a5dW82bNz/yvhMLvXoidb7tlpGRoeHDh+vee+/V77//rsWLF2vFihXavn27cnNzlZubK6fTqfT0dNWtW1fNmzdXly5ddOaZZ5a4DnyDBg00ZswYjRkzRuPHj9fKlSu1b98+ud1uVatWTY0bN1bPnj2PzP+XpH79+unzzz837OvHH3/UnXfeaTrColu3bvr11181depUTZw4UQsWLNDff/+tAwcOKCkpSVWqVFHjxo3VuXNn9e3b13Sp5VjmcDj02GOPqX///vr222+VmZmpHTt2yOPxqHLlyqpVq5Y6d+6s3r17HynKnn322Ro9erRhXzt27NC0adMMTS6HDBmiE088UR9//LHmzJmjPXv2qEKFCqpdu7Z69Oihiy66yNZRFS1bttTXX3+tefPmafz48Zo/f762bNmi7OxsuVwuVa5cWfXr11eXLl10xhlnhFRASDQOf1nWhQEAAAAAAHGL6QMAAAAAACQoigIAAAAAACQoigIAAAAAACQoigIAAAAAACQoigIAAAAAACQoigIAAAAAACQoigIAAAAAACQod7QTSBR+v18+nz/aacQVp9PBOTPBebHGuTHHebHGuTHHebHGuTHHebHGuTHHebHGuTHHeQmd0+mQw+Eo8XYUBWzi8/m1Z09utNOIG263U1Wrpmv//oPyen3RTidmcF6scW7McV6scW7McV6scW7McV6scW7McV6scW7McV5Kp1q1dLlcJRcFmD4AAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAAAAAECCoigAAEgoBSrQZ6kf64KMc3ShLtQS1+JopwQAABA17mgnAACAnd5Ne0uPZTx05P8/VfxJMz3z1cDXMIpZAQAARAdFAQCArZxOh5xOR1SO7ZNPr1UYUSyW78jX6PR3NfzQ01HJqYjP55fP549qDgAAIPFQFAAA2MbpdKha1VQ5nNF5+1mohdqt3YZ4ZuocVU1Nj0JG/+P3ebVn72EKAwAAwFYUBQAAtnE6HYUFgZ+vlPYst/34k1rukLoY45neGfJ82UFJ/uiMYFC1VnL0/0xOp4OiAAAAsBVFAQCA/fYsl3bMt/2wk040jx92+7XEv0AddtibDwAAQLSx+gAAICH4JU1uYL19dh3bUgEAAIgZFAUAAAlhWXVpVwXr7RQFAABAIqIoAABICJMCjBKQKAoAAIDERFEAAJAQJjUMvH1pDelAkj25AAAAxAqKAgCAcs+vkkcK+B1SZm1b0gEAAIgZFAUAAOXeqqrS9vSSb8cUAgAAkGgoCgAAyr2SRgkUoSgAAAASDUUBAEC5V1I/gSKz60Y2DwAAgFhDUQAAUK75Jf0V5EiBTZWkvwMsWwgAAFDeUBQAAJRra6tIWRWN8eqHzG8/hykEAAAggVAUAACUa1b9BG5dYB6nrwAAAEgkFAUAAOWaVVFgyCKpYp4xTl8BAACQSCgKAADKNbMmg833SPVzpM7bjdtm1ynsQwAAAJAIKAoAAMqtDZUKmwcerdeWwr+7/m3cti9VWlMlomkBAADEDIoCAIByy2rqQK/NhX933Wa+nb4CAAAgUVAUAACUW2ZTB6TAIwUk+goAAIDEQVEAAFBumY0UaLpPapBT+O/6OVLdHONtGCkAAAASBUUBAEC5tCVDWlfFGC8aJSBJDpmPFphfS8rnHRIAACQAPvIAAMqlkvoJFDHrK5DnlhbXCH9OAAAAsYaiAACgXCqpn0AR+goAAIBERlEAAFAumY0UaLRfOmZ/8Vjn7eb3p68AAABIBBQFAADlzrZ0aVU1Y/zoqQOSVCVParHHGKcoAAAAEgFFAQBAuTPZop/AqVvM42Z9BZZXl/Ynhy8nAACAWERRAABQ7vwVZJPBImZ9BfwOaV7t8OUEAAAQiygKAADKHbMmg/UPSE2zzW9v2WyQKQQAAKCcoygAAChXdqQVDv0/Wq8tksPiPu12SkkFxjhFAQAAUN5RFAAAlCtW/QSspg5IUkqB1H6HMc6yhAAAoLyjKAAAKFfMpg5IhSMFAjGbQrClopSVXvacAAAAYhVFAQBAuTLJZKRA7Vyp+d7A97PqKzCHKQQAAKAcoygAACg3dqdKi2sa44H6CRSh2SAAAEhEFAUAAOXGlFL0EyjSfI9UKc8Yp68AAAAozygKAADKDbOpA1LJ/QSkwjfELiajBebUlnxlygoAACB2URQAAJQbZkWBGgel43cHd3+zKQTZqdLqqmXLCwAAIFZRFAAAlAv7UqQFtYzxU4LoJ1CEvgIAACDRUBQAAJQLU+tLfpNv/8FMHSjSdZt5nL4CAACgvHJHO4Fw+PLLL/XYY4/pqaee0sUXXxzSffPz89WxY0d5PB7L21SsWFFz584ta5oAgAgqSz+BIvVypfoHpK0Vi8cZKQAAAMqruC8KLFq0SC+88EKp779u3Tp5PB6lpaWpVatWprdJT08v9f4BAPYwKwpUPSS12Rnafrr+LY05qiiwoKaU55JSCkqfHwAAQCyK66LArFmzdNtttyk3N7fU+1ixYoUkqXPnzho1alS4UgMA2Gh/spRZ2xg/ZWvo8+S6/i2NaVY8lu+WFtWQumwvdYoAAAAxKS57CuTl5en111/Xddddp+zs7DLtq6go0Lx583CkBgCIgmn1pAKTd7Rem0PfF30FAABAIom7osDGjRt11lln6Y033pAk3Xnnnapfv36p90dRAADi36SG5vFQ+gkU6bRdcviNcfoKAACA8ijuigJ///23tm3bpvbt2+u///2vbr755jLtj6IAAMQ/s34ClQ9L7ULsJyBJlfOllnuMcYoCAACgPIq7ngJ16tTRu+++q169epV5X9u3b9fevXvlcrmUnp6ut956SwsXLtThw4fVoEED9enTJyzHAQBETq5bmmvST+CkrZLL5Ip/MLpuk5ZXLx5bUV3KTi4sGgAAAJQXcVcUaNy4sRo3bhyWfRWNEnA4HDr33HOVl5dXbPvXX3+tU089VSNGjFBGRkaZj+d2x93AjKhxuZzF/kYhzos1zo25WDsvkchjen3J6zLGSzN1oEjXv6WPTjDG59aRTt9U+v2WJBZ+T7H2mIklnBtznBdrnBtznBdrnBtznJfIiruiQDitXLlSkuT1enXGGWdo8ODBatasmQ4cOKDffvtNI0aM0F9//aW77rpL7733XpmO5XQ6VLUqSxuGqlKltGinEJM4L9Y4N+bK83kxmzoglb0oYGZ2hIsCsfR7iqVcYg3nxhznxRrnxhznxRrnxhznJTISuijQokULXX755apRo4aGDh16JJ6SkqIrr7xSLVq00FVXXaXJkydr0qRJZZpK4PP5tX//wXCknRBcLqcqVUrT/v2HVFDgi3Y6MYPzYo1zYy7WzktRPuFkVhTIyJc6lmH5wLY7pWRv4VKE/xTpvgKx8HuKtcdMLOHcmOO8WOPcmOO8WOPcmOO8lE6lSmlBja5I6KJAr169An7R79y5s3r06KFp06ZpwoQJZe4v4PXyAA5VQYGP82aC82KNc2OuvJ6XQ27zL+o9t0ruUvYTkKRkn9RhhzSrXvF4pIsCsfR7iqVcYg3nxhznxRrnxhznxRrnxhznJTKYlFGCVq1aSZK2bCnDOFQAQETMrGu8mi+VbepAEbMpBFkVpa1lbzEDAAAQMxK+KFBQUCCv12u53ecrrES53Qk9qAIAYlIk+gkUCdRXAAAAoLxI6KJA79691bp1a33yySeWt1m2bJkk6bjjjrMrLQBAkMyKAmkeqbPFF/pQUBQAAACJIKGLAscee6z8fr9++OEH09ECixYt0qxZsyRJ/fr1szs9AEAAea7C6QNH65FV2BOgrI7bK1U5bIxTFAAAAOVJQhQFsrKytHbtWmVlZRWLDx48WA6HQ8uWLdO///1v5eTkHNk2a9Ys3XLLLfL7/RowYIDatGljd9oAgABm15EOJxnj4Zg6IBW+QXYxGS0wp45EiyMAAFBeJERRYNiwYerXr5+GDRtWLN61a1c99NBDcrlcGjNmjHr27Knzzz9fp59+uq655hrt3LlTvXr10lNPPRWlzAEAVqz6CZy6OXzHMJtCcCBFWlktfMcAAACIpoTvnnfNNdeoffv2+uijjzRnzhytWbNG6enp6tatmwYOHKgBAwbI4XBEO00AwFEmNTTGUj3WvQBKI1BfgVZ7wnccAACAaCkXRYGJEycG3B6okaAktW3bViNGjAhnSgCACMp3StPrGePdtkkpBeE7jtn0AUmaXVe6dln4jgMAABAtCTF9AABQvsytIx2MYD+BInVzpYb7jXGaDQIAgPKCogAAIO5Y9RMId1FAMp9CsLCmdNgV/mMBAADYjaIAACDumBUFkr2F0wfCzawo4HEVFgYAAADiHUUBAEBc8TqkafWN8a5/S2ne8B+vq0WhYXbd8B8LAADAbhQFAABxJbO2lJNsjEdi6oAkddouOfzGOH0FAABAeUBRAAAQV+zsJyBJFT3S8buNcYoCAACgPKAoAACIK2ZFAXeB1GNr5I5p1ldgVTVpb0rkjgkAAGAHigIAgLhR4JCmmBQFOm+X0iPQT6CIVV+BuYwWAAAAcY6iAAAgbiysKe03uTofqakDRcxGCkhMIQAAAPGPogAAIG5Y9hPYHNnjttklpZiMRKAoAAAA4h1FAQBA3JjU0Bhz+qSeWZE9bpJP6rjDGJ9VVzJZmAAAACBuUBQAAMQFn6Qp9Y3xjjukSvmRP75ZX4Ht6dKWipE/NgAAQKRQFAAAxIUlNaQ9acb4qRGeOlCEvgIAAKA8oigAAIgLZlMHpMg3GSxCUQAAAJRHFAUAAHHBrMmgwy+dtNWe4x+7T6p6yBinKAAAAOIZRQEAQMzzy7wo0H6HVCXPnhwcMh8tMLeOVOCwJwcAAIBwoygAAIh5y6pLuyoY43ZNHShiVhTISZZWVLM3DwAAgHChKAAAiHlmowSk2CgKSEwhAAAA8YuiAAAg5lk1GTzZ5qJAF4oCAACgnKEoAACIaVb9BNrslKoftjeX2gelxtnG+Oy69uYBAAAQLhQFAAAxbVVVaXu6MW731IEiZlMIFtWQDrntzwUAAKCsKAoAAGKaZT+BzfbmUcSsKOB1SQtq2p8LAABAWVEUAADENKt+AqdEa6TANvM4fQUAAEA8oigAAIhZVv0EWu2Wah2yPR1JUscdktNnjNNXAAAAxCOKAgCAmLWusrS1ojEerakDkpThkVrvNsYZKQAAAOIRRQEAQMyymjoQrSaDRcz6CqypKu1JtT8XAACAsqAoAACIWZZNBqNdFLDoKzCntr15AAAAlBVFAQBAzDIrCjTfI9XNtT+XfzIbKSDRVwAAAMQfigIAgJi0saK0sbIxHu1RAlJhT4E0jzFOXwEAABBvKAoAAGKSZT+BKDYZLJLkK1yF4Giz6xSumAAAABAvKAoAAGLSXzHaZLCIWV+BHenSJpPVEgAAAGIVRQEAQEwy6yfQdJ/UIMf2VEzRVwAAAJQHFAUAADFnS4a0rooxHiujBKQARQH6CgAAgDhCUQAAEHMslyKMgX4CRZpkS9UPGeMUBQAAQDyhKAAAiDmWTQZjaKSAQ+Z9BebWkbwO29MBAAAoFYoCAICYYzZSoNF+6Zj99ucSiNkUgoNJ0vLq9ucCAABQGhQFAAAxZVu6tKqaMR5LUweK0FcAAADEO4oCAICYMtmqn0AMTR0o0oWiAAAAiHMUBQAAMcWyyWAMFgVqHpKa7DPGWZYQAADEC4oCAICYYlYUqHdAOnaf7akEpct2Y2xxDemg2/5cAAAAQkVRAAAQM3amSctqGOO9thR2+49FZisQFDil+bXszwUAACBUFAUAADEjnvoJFKHZIAAAiGcUBQAAMcOqn8CpMbjyQJGO2yWnzxinrwAAAIgHFAUAADHDrChQO1dqvtf+XIKV7pVO2GWMM1IAAADEA4oCAICYsCdVWlzTGI/lfgJFzKYQrKsi7UqzPRUAAICQUBQAAMSEKfUlv8m3/14xPHWgiFVfgTm17c0DAAAgVBQFAAAx4a+G5vFYbjJYxLLZIH0FAABAjKMoAACICWb9BGoclI7fbX8uoWq9S0rzGOP0FQAAALGOogAAIOr2pUgLahnjp8RBPwFJcvulTtuN8dl1JL/96QAAAASNogAAIOqmWvUTiIOpA0XMphDsqiBtqGR/LgAAAMGiKAAAiDqzqQNS/BcFJPoKAACA2EZRAAAQdWZFgaqHpDY77c+ltLpuM4/TVwAAAMQyigIAgKg6kCRlmizdd/LW+HqTOmZ/YWPEo1EUAAAAsSyePm8BAMqhafWlApN3o3iaOiAVNkQ0m0Iwr7bkjYduiQAAICFRFAAARJVlP4HN9uYRDmZFgUNJ0tIa9ucCAAAQDIoCAIComtTQGKuUJ7WPo34CRegrAAAA4g1FAQBA1OS6pTkm/QRO2iq5/PbnU1ZdtpvHKQoAAIBYRVEAABA1M+pJXpcxfmocTh2QpBqHpKb7jHGKAgAAIFZRFAAARI1lP4E4azL4T2Z9BZbUKBwVAQAAEGsoCgAAosasn0BGvtTRYhh+PDDrK+Bzmi+7CAAAEG0UBQAAUXHILc0yGVbfc6vkjsN+AkXMRgpITCEAAACxiaIAACAqZtaV8k2G1Mfz1AFJ6rBDcvmM8dl17c8FAACgJBQFAABRUR77CUhSBa/UZpcxzkgBAAAQiygKAACiwqwokOaROlsMv48nZn0FNlSWdqTZnwsAAEAgFAUAALbLc/o002Q4fY8sKdlk6H28seorMIfRAgAAIMZQFAAA2G52jYM6nGSMx/vUgSKWzQbpKwAAAGIMRQEAgO0m1c4xjffabHMiEXL8bik93xinrwAAAIg1FAUAALYzKwqkeK2vsMcbl1/qtN0Yn11HiuPVFgEAQDlEUQAAYCuPPJpeM9cQ77ZNSi2IQkIRYlbg2JMmratsfy4AAABWKAoAAGw1V3N10G3sJlhe+gkUoa8AAACIBxQFAAC2mqRJpvHy0k+giNmyhBJ9BQAAQGyhKAAAsJVZUSCpoHD6QHnS6IBUyzhLgqIAAACIKRQFAAC28cqrqZpqiJ+4TargjUJCEeSQ+RSCzFqSh3dfAAAQI/hYAgCwzSLXQuXIuPJAeesnUMSsKHA4SVpSw/5cAAAAzFAUAADYZprbOEpAKsdFAfoKAACAGEdRAABgm+kmRQF3gdRjaxSSsUGX7eZxigIAACBWUBQAANiiQAWanjTNEO+8XUovZ/0EilQ7LB231xinKAAAAGIFRQEAgC2WuhfrgGO/IV5epw4UMesrsLSGdCDJ/lwAAACORlEAAGCL6UkW/QQ225yIzcz6CvgdUmZt+3MBAAA4GkUBAIAtzKYOOH1Sz6woJGMjs5ECElMIAABAbKAoAACIOJ98mpU03RDvuEOqlB+FhGzUfmdhM8WjzaEoAAAAYgBFAQBAxC13LdNep7HjXnnvJyBJaV6p7S5jnJECAAAgFlAUAABE3IwE7SdQxKyvwMbK0vYK9ucCAADwTxQFAAARNz3Z2E/A4ZdO3hqFZKLAqq8AUwgAAEC0URQAAESUX37NNGky2G6nVCUvCglFAc0GAQBArKIoAACIqFWuldrlNE6qT5SpA5LUco+UYdJQkaIAAACINooCAICImm7VTyABmgwWcfmlziajBWbXkfz2pwMAAHAERQEAQERZNRk8JYGKApL5FIK9adLaKranAgAAcARFAQBAxPjl13STfgJt9qaq+uEoJBRF9BUAAACxiKIAACBi1rnWaIdruyHea3tGFLKJLooCAAAgFlEUAABEjNkoASkxiwINDkh1cozx2XXtzwUAAKAIRQEAQMRYNRk8ZUfiFQUcMh8tkFlL8jhoNwgAAKKDogAAICIK+wkYiwKt1Eq1DidFIaPoMysK5LmlxVUP2Z8MAACAKAoAACJkg3O9trmyDPFe6hWFbGKDZV+B6gftTQQAAOD/URQAAETEjGSLfgIJXBTobFUUqJFrbyIAAAD/j6IAACAirPoJJHJRoGqe1HyPMT67BiMFAABAdFAUAABExAyTlQeOLThOdZXY7fbNphAsq3xYB3TA/mQAAEDCoygAAAi7zc5N2uzaZIj38J4UhWxii1lRwO+Q5mme/ckAAICER1EAABB2VlMHelIUUNdt5vHZmm1vIgAAAKIoAACIALOpA5LUw0NRoN1OKanAGKcoAAAAooGiAAAg7KYnG0cKNCo4Rg38DaKQTWxJLSgsDByNogAAAIgGigIAgLDa5szSBtd6Q7yHp2cUsolNZn0FNmuz/nZYrFkIAAAQIRQFAABhZdVPoEc+UweKWPUVmO+m2SAAALAXRQEAQFhNp59AicxGCkhSpmuuvYkAAICER1EAABBWM0xGCjQoaKhGvsZRyCY2tdgjVcwzxucxUgAAANiMogAAIGy2O7ZrjXu1Id6dfgLFOCV1MRktMN+VKZ98tucDAAASF0UBAEDYzExm6kCwzKYQZDv3ab1rrf3JAACAhEVRAAAQNtOSppjGu+czUuBoln0FmEIAAABsRFEAABA2M0yaDNYpqKsmvqZRyCa2WRUFWIEAAADYiaIAACAsdjl2aaV7hSHew9NTDjmikFFsq58j1TtgjM9PoigAAADsQ1EAABAWZqMEJKk7/QQsmY0WWOxepHzl258MAABISBQFAABhYbYUoUSTwUDMigL5jnwtcy+xPxkAAJCQKAoAAMJiusnKAzV9tXRcQbMoZBMfaDYIAACijaIAAKDM9jr2aLlrqSHePZ9+AoF0tmo2SF8BAABgE4oCAIAym5k0Q36H3xDv7mEpwkAq50stdxvjrEAAAADsQlEAAFBm0+knUGpmUwhWu1ZpvyPb/mQAAEDCoSgAACgzs5UHqvmqqUVByyhkE1/MigJ+h18L3QtszwUAACQeigIAgDLZ78jWEvciQ7y75yQ5eZspUddt5nGmEAAAADvwaQ0AUCazkmbI5/AZ4j3oJxCUtruk5AJjM8ZMmg0CAAAbUBQAAJTJdJOpA5LUPZ9+AsFIKZDa700zxBkpAAAA7EBRAABQJjNMmgxW8VXR8QWto5BNfOq6q4Ihts2VpW3OrChkAwAAEglFAQBAqeU4Dpg2xOvm6UE/gRB03ZVuGp/vzrQ5EwAAkGj4xAYAKLXZ7pkqcBQY4t1ZijAkXXcbRwpI0nz6CgAAgAijKAAAKLXpyeb9BGgyGJpm+1NUWZUN8Uz6CgAAgAijKAAAKLXpJv0EKvoq6QRv2yhkE7+ccqiLuhjiC9yZ8sm4sgMAAEC4UBQAAJRKrnK1wGTO+4mebnLJFYWM4ltXdTXEDjj3a61rTRSyAQAAiYKiAACgVOYmzZbX4TXE6SdQOmZFAUnKdM+1ORMAAJBIKAoAAErFbClCiX4CpWVVFKDZIAAAiCSKAgCAUpmeZGwyWMGfrrbe9vYnUw7UVV3V89U3xOfTbBAAAEQQRQEAQMgO6ZAyk4zD2rt6TlSSkqKQUfnQ0dvJEFviXqw85UUhGwAAkAgoCgAAQpaZNFf5jnxDvAf9BMqkk7ezIeZxeLTUvTgK2QAAgERAUQAAEDKzpQglqXs+RYGy6FhgHCkgMYUAAABEDkUBAEDIZpj0E0jzp6mDt2MUsik/2nk7yOF3GOKZNBsEAAARQlEAABCSPOVpbtJsQ7yz50QlKzkKGZUflVRJzQtaGOKMFAAAAJFCUQAAEJL57kwddhw2xFmKMDw6mDQbXONerWzHPvuTAQAA5R5FAQBASGYkm/cToMlgeHTwmPcVWOCeb3MmAAAgEVAUAACExKzJYIo/xfLLLEJjtiyhJM2nrwAAAIgAigIAgKB55NGcpFmGeCdPF6UqNQoZlT+tvK2V7Df2ZsikrwAAAIgAigIAgKAtcGfqoOOgId6dfgJhk6xktfG2NcQz3XPllz8KGQEAgPKMogAAIGhmSxFK9BMIN7OpGDtc27XNmRWFbAAAQHlGUQAAELTpJk0Gk/xJ6uTpEoVsyi+zFQgkphAAAIDwoygAAAiKV17Ncs80xDt4O6mCKkQho/KLZoMAAMAuFAUAAEFZ7F6oXGeOId4jn6kD4dak4FhV9lUxxOczUgAAAIQZRQEAQFCmW/QToMlg+DnlVHtvB0N8gXu+ClQQhYwAAEB5RVEAABCUGUnGfgIuv0tdPCdGIZvyr6NJs8Ec5wGtca2OQjYAAKC8oigAAChRgQo0M2mGId7e20EZyohCRuVfB29n0zhTCAAAQDhRFAAAlGiZe4n2O7MN8e4sRRgxHbwdTeOZSXNtzgQAAJRnFAUAACWabjJ1QJJ6UhSImNq+Oqpf0MAQn+/OjEI2AACgvKIoAAAokVmTQaffqa6eblHIJnF0MFmacKl7sQ7rcBSyAQAA5RFFAQBAQD75NNOkKNDW204V/ZWikFHi6GDSbNDr8GqJe1EUsgEAAOURRQEAQEArXMu117nXEKefQOR1NBkpIEnzk2g2CAAAwoOiAAAgILOlCCWpB0WBiGvnbS+H32GIZ7ICAQAACBOKAgCAgKYnG6cOOPwOdfN0j0I2iSXDX1EtCloa4ixLCAAAwoWiAADAkl9+05ECrb1tVNlfxf6EEpBZX4F17rXa69gThWwAAEB5Q1EAAGBplWuldjl3GeI9PD2jkE1iMluBQJIWuOfbnAkAACiPKAoAACxNt+gnQJNB+9BsEAAARBJFAQCAJasmg908PWzOJHG18rZWij/FEKevAAAACAeKAgAAU375NT3J2GSwlfd4VfdXj0JGiSlJSWrjbWeIZybNk1/+KGQEAADKE4oCAABT61xrtMO13RDvTj8B23U0aTa407lDW51bopANAAAoTygKAABMmY0SkKQe+fQTsJtVs0GmEAAAgLKiKAAAMGXVZLAbIwVsZ7YsoVQ4hQAAAKAsykVR4Msvv1SLFi309ddfl+r+e/fu1TPPPKPTTz9dJ5xwgnr06KGhQ4dqwYIF4U0UAOKEX37NMBkp0MzbXLX8taKQUWJr4muqKr4qhjgjBQAAQFnFfVFg0aJFeuGFF0p9/127dumSSy7RRx99pN27d6t58+ZyOBwaP368rrjiCn3zzTdhzBYA4sNG5wZlubYa4j08J0chGzjkMJ1CsCBpvgpUEIWMAABAeeEO5kZZWVmRzkOSVK9evZBuP2vWLN12223Kzc0t9THvuusubdq0ST179tR//vMfVa5cWT6fT6NGjdKIESP0+OOPq0OHDjr22GNLfQwAiDdmowQkqQdTB6Kmg6eT/kz+o1jsoCNXq1wr1arg+ChlBQAA4l1QRYHevXvL4XBENBGHw6Fly5YFddu8vDy9++67euutt1RQUPorJLNmzdLs2bNVoUIFvfTSS6pcubIkyel0asiQIVq9erV++OEHvfXWW3rppZdKfRwAiDfTk837CfTw0GQwWjpaNRtMmkdRAAAAlFrQ0wf8fn/E/wRj48aNOuuss/TGG29Iku68807Vr1+/VD/8mDFjJEmnn366qlWrZth+2WWXSZL++OMPHT58uFTHAIB4ZDZSoKn3WNX21YlCNpCk9lbNBukrAAAAyiCokQJS4ZX8xx9/XMnJyWFNID8/X4899ljQt//777+1bds2tW/fXo888ohOOOGEUjcYnD9/viSpUyfzD1pt27aV2+3WwYMHtWTJEnXu3LlUxwGAeLLFuVmbXBsNcUYJRFctfy01LGikza5NxeI0GwQAAGURdFFAkgYMGKC0tLSwJnDw4MGQigJ16tTRu+++q169epXpuD6fT1u2bJEkNWrUyPQ2SUlJql27trZu3ar169dTFACQEKyWIuxOP4Go6+DpZCgKLHMv0SEdUprC+/4MAAASQ0hFgVjQuHFjNW7cuMz7yc7OltfrlSTTqQNFqlSpoq1bt2rv3r1lPqbbHfeLPdjG5XIW+xuFOC/WODfmSnNeZqSYNxk82XdKmV/H+P0EVtL56eTrrB80pliswFGgZSmLdWJBt7DmwO/KiHNjjvNijXNjjvNijXNjjvMSWUEVBYrm76empoY9gdTU1CP7t9M/ewQEmhKRkpJiuH1pOJ0OVa2aXqZ9JKJKlbjyZYbzYo1zYy6U8zJTxqJAEzVRmyotwpkSTJT0ezpV5lM4VlRarL463dZcEhnnxhznxRrnxhznxRrnxhznJTKCKgrUqlVLbdu2LfPB9u/fr3//+9967bXXjsScTqfOOOOMMu87VE5naFWmsq6+4PP5tX//wTLtI5G4XE5VqpSm/fsPqaDAF+10YgbnxRrnxlyo5yXLkaW1VdYa4t3yemrvwdIv/3p0PjBX0u+piVrIWcUpn6P4babmT9e1uYPDkgPPJWucG3OcF2ucG3OcF2ucG3Ocl9KpVCktqNEVQRUFbrzxRn300Udq1apVqRNasGCB7r77bm3btq3U+win9PT/XbXPz8+3vF1eXp6k8IyS8Hp5AIeqoMDHeTPBebHGuTEX7HmZkjLZNN49ryfn1QYl/Z5SVUEtClppuXtpsfg819yw/354Llnj3JjjvFjj3JjjvFjj3JjjvERGUJfL9+/fr+uvv16rVq0q1UHeeecdXXXVVcrKyirV/SOhQoUKR6YN7Nu3z/J2Rb0EqlevbkdaABBV002WIpRoMhhLOposTbjBtV57HLujkA0AAIh3QRUFHA6H9u3bp0GDBmntWuOwUiu7du3SoEGD9Morrxxp6me1/J/dnE6nmjRpIklHViE4msfj0Y4dOyRJxxxzjF2pAUDUzDBZeaB+QQM18pW9wSvCo4PX/H10gTvT5kwAAEB5EFRRYPjw4ZIKr5oPGjRIGzca168+2uTJk3Xeeedp1qxZ8vv9crvduvvuu/XJJ5+ULeMwateunaTCqQ1mFi1aJK/Xq5SUFB1//PE2ZgYA9tvu2K417tWGeHdPTzlUtr4qCJ8OJiMFJCkzaZ7NmQAAgPIgqKLAxRdffKQwsGvXLl177bWWV9e9Xq+ef/553XTTTdqzZ4/8fr+OO+44ff311xoyZEiZG/aF09lnny1J+u2330ynEHzxxReSpH79+kVk5QUAiCUzk82nDvTwmHe8R3S0LGilNL+xWeN8N0UBAAAQuqBb8F988cV68skn5XA4tH37dl177bWGpoGbN2/WZZddpg8//FA+X2EDiKuvvlrfffddmZoUllVWVpbWrl1r6GnQvXt3dezYUQcOHNCtt96qXbt2SZJ8Pp/ee+89/fjjj0pKStLgweHp6AwAsWy6ydQBSepBP4GYkqQktfG2M8TnJ82TX/4oZAQAAOJZSOvyXXTRRXrqqafkcDiUlZWla6+99sic+59++kkXXHCBli5dKr/fr1q1aun999/Xww8/fKShX7QMGzZM/fr107Bhw4rFHQ6HXnjhBdWpU0dz587VaaedpoEDB+qUU07RSy+9JIfDoWeeeUbHHntslDIHAPvMMGkyWKegrpoU8BoYa8ymEOxy7tJm56YoZAMAAOJZUEsS/tPAgQPldDr10EMPafPmzbrmmmvUrl07/fDDD/L7C69Q9O3bV0888YQqV64c9oTDrWHDhhozZozefvttTZw4UatWrVJaWppOPvlk3XjjjerWrVu0UwSAiNvt2K0V7uWGeA/6CcSkjhbNBucnzVOjPJpCAgCA4IVcFJCk888/X5L00EMPaePGjdq4caP8fr8yMjL0yCOP6LzzzgtnjiWaOHFiwO0lNTesVq2aHnroIT300EPhTAsA4obZKAFJ6k4/gZhk2WzQPU/n5Q20ORsAABDPSlUUkAoLAw6HQw899JAKCgrkdrv16aefqmXLluHMDwBgA7OlCCWaDMaqxr5jVM1XTXuce4rFaTYIAABCFVJPgaOdd955evbZZ+VyuVRQUKBHH31UOTk54coNAGCT6SYrD9T01dJxBc2ikA1K4pDDdLTAoqQF8sobhYwAAEC8KlNRQJIGDBig559/Xk6nU4sXL9aNN96ogwcPhiM3AIAN9jn2aplriSHePZ9+ArGsg0lfgYOOg1rpWhGFbAAAQLwKavrAnDlzAm6vXbu2Lr74Yn355ZdauHChhgwZojvuuMPy9l26dAktSwBAxMxMmiG/w7iUXXeWIoxpgZoNti44weZsAABAvAqqKHD11VfL4Sj5alHRbebNm6drrrnG8jbLli0LIUUAQCRNS5piGqefQGxrb9FscL57nq7StTZnAwAA4lXQ0wf8fn/Y/gAAYofZygPVfNXUooDGsbGshr+GGhUcY4hnJtFsEAAABC+okQLPPvtspPMAAETBfke2lrgXGeLdPD3lLHvbGURYR09HbXJtKBZb4VqmXOUqXenRSQoAAMSVoIoCF1xwQaTzAABEwaykGfI5fIZ4D/oJxIUO3s4aq++KxQocBVrsXqRu3u5RygoAAMSToC4DZWVlKSsrK2JJRHr/AABz002mDkhS93z6CcQDs2UJpcJmgwAAAMEIaqRA79695XQ6NW/ePKWlpYU1gYMHDx7ZPw0IAcBeM5KmGmKVfVV0fEHrKGSDULXxtpXL71KBo6BYfL57bpQyAgAA8SakRoORRANCALBXjuOAFroXGOLdPN3lksv+hBCydKWrZcHxhnhmUmYUsgEAAPEoqJECRebNm6eUlJSwJnD48OGw7g8AEJzZ7lmGK8yS1J2lCONKR08nLXUvLhbb5NqgXY5dquGvEaWsAABAvAipKDB48OBI5QEAsNmMZPN+Aj0pCsSVDt5O+kQfGuILkubpjPyz7E8IAADElZCmD0TqDwDAftNN+glU9FXSCd62UcgGpWXVbDDTTbNBAABQsqBGCnz88ceRzgMAYKODOqgFbuO88xM93egnEGdaFLRUBX8FHXQcLBafT1EAAAAEIaiiQNeuXSOdBwDARnOTZsvj8Bji9BOIP2651dbTXjOTpxeLz0+aJ7/8csgRpcwAAEA8CHr6AACg/DCbOiBJPTw9bc4E4dDBa5xCsMe5RxudG+xPBgAAxBWKAgCQgGYkGZsMVvCnq623vf3JoMw6mhQFpMLRAgAAAIFQFACABHNYh5WZNNcQ7+o5UUlKikJGKCuaDQIAgNKiKAAACWZe0hzlOfIM8R70E4hbDX2NVMNXwxBnpAAAACgJRQEASDBW/QS651MUiFcOOUxHCyx2L5RHxoaSAAAARSgKAECCMesnkOZPUwdvxyhkg3AxazZ4yHFIK1zLo5ANAACIFxQFACCB5ClPc5NmG+KdPV2VrOQoZIRw6WjRV4ApBAAAIBCKAgCQQOa7M3XYcdgQ785ShHGvvcVIj/k0GwQAAAFQFACABDIj2byfAE0G4181f3UdU9DEEM9kpAAAAAggqKLAnDlzNGfOHPn9/lIfKD8/X0OHDtVtt91W6n0AAMrGrMlgij9FHT2do5ANws1sCsFK13LlKCcK2QAAgHjgDuZGV199tZxOp+bNm6e0tDTDdo/Ho3feeUcOh0O33nqr6T68Xq8mTJggh8NRtowBAKXikUdzTPoJdPR0VqpSo5ARwq2Dt5O+0zfFYj6HT4uTFjJFBAAAmAp6+kCgUQIej0dvvPGG3njjjbAkBQAIv4Xu+TroyDXEmTpQfnSwGPGRSV8BAABggZ4CAJAgppssRShRFChP2njbyuV3GeI0GwQAAFYoCgBAgphh0k8gyZ+kTp4uUcgGkZCmNB3vPcEQZ1lCAABghaIAACQAr7yalTTTEO/g7aQKqhCFjBApHbzGZoObXZu0w7EjCtkAAIBYR1EAABLAYtci5TgPGOI98pk6UN50NCkKSNICRgsAAAATFAUAIAFMcxunDkiiI3051MFkWUKJZoMAAMAcRQEASADTTYoCLr9LXTwnRiEbRFLzghaq4E83xOkrAAAAzFAUAIByrkAFmu42rjzQ3ttBGcqIQkaIJJdcau/pYIjPd8+TX9bLCwMAgMREUQAAyrlFWqT9zmxDvDtLEZZbZs0G9zn3ab1zXRSyAQAAsYyiAACUc5M0yTTeg34C5VZHi74CTCEAAABHc4dy47fffltJSUmGuMfjOfLvN954w/S+/7wNAMA+ZkUBp9+pEz3do5AN7GA2UkAqnEJwYd4lNmcDAABiWUhFgXfffddym8PhkCSNHDmybBkBAMLGJ58ma7Ih3sbbThX9laKQEexQ39dANX21tNO5o1g8k5ECAADgKEFPH/D7/WX+AwCw1wrnMu3RHkOcpQjLN4ccplMIFrsXyiNG7gEAgP8JaqTAH3/8Eek8AAARMC3JuBShJPWgyWC518HbSb+l/FoslufI03L3UrX1to9OUgAAIOYEVRSoX79+pPMAAETANLexKODwO9SNfgLlXgeLZoOZ7nkUBQAAwBGsPgAA5ZRffs1wTzPEW3vbqIq/ahQygp3aezuYxue76SsAAAD+J2JFgfz8fB04cCBSuwcAlGC1a5V2Onca4ixFmBiq+qupqfdYQ5xlCQEAwD+FXBTIzc3V77//btlnYPz48Tr//PPVvn17de3aVaeccoreeustHT58uMzJAgCCN92in0B3+gkkDLOlCVe6VijHQdEeAAAUCqko8N///le9e/fWHXfcoY8//tiwfdSoUbr99tu1cuVK+Xw++f1+7dixQ6+99pquvfZa7du3L1x5AwBKMMOiKNDN08PmTBAtHU2KAn6HX4vcC6OQDQAAiEVBFwU+++wzPfbYY8rOzpbf7zd8wV+6dKlefvnlI8sP9u3bV4888oiuvfZapaamatGiRXr00UfDnT8AwIRffk1PMvYTaOU9XtX91aOQEaIhULNBAAAAKcjVB3bt2qURI0bI7/erXr16uv/++9WzZ/E5qS+//LJ8Pp8cDoeGDBmiu+6668i2c845R1deeaXGjx+vuXPnqnPnzuH9KQAAxax3rdV219+GeHf6CSSUE7xt5fa75XV4i8XnJ82TDkUpKQAAQnRIhyTlS0qOdirlUlBFgTFjxujgwYNq0KCBvv76a1WtWrxr9e7duzVjxgw5HA5VqVJFN998c7Htbdq00UUXXaTPP/9cP//8M0UBAOWe0+mQ0+mI2vEnp/xpGj+p4GS53dFbeMblYtEbO6UqVa29bbQwaX6xOCsQAABiXZ7y9FPK9xqd9p7mJM2SSy5dUuEyjdj/utzBfY1FkII6m9OmTTsyAuDogoAkTZ069cgogT59+ig1NdVwmzPPPFOff/655s6dW/asASCGOZ0OVauaKoczem9Yv+hH03i/jDNVVek2Z4No6uDtaCgKbHFt1nbHdtX2145SVgAAmNvq3KKPU0frk7SPtOsfqygVqEBfpHymY9Oa6/ZDdwXYA0IV1CfWjRs3SpK6dOliun3WrFlH/n30tIIiTZo0kSTt2LEjpAQBIN44nY7CgsDPV0p7ltt+/O2pHk2+cImha0z3Hemq/dvZtudTzDFnSyc/Hd0cEkxHT2d9mPa+Ib4gKVNn5Uf58QAAiGl2jXz0y6/J7r/0fsq7+jXpFxU4CixvOy95ttye6I489Pn88vn8Uc0hnIIqCuzZs0eSVKNGDdPt8+b9bxiiVeGgaPTAoUNMYgSQIPYsl3bML/l2YTa2reQzea+8aFluVPIpplrL6B4/AZktSyhJ891zKQoAACzZMfJxv/brY32skRqpFVoR1H3aJLdW1eTojnr0+7zas/dwuSkMBPUbdrvdys/Pl9frNWzbuXOnNm7cKIfDoaZNm6patWqm+9i9e7ckqXLlymVIFwBQkm+am8cvXGVvHogNxxU0U4avonKcB4rFM5PoKwAAsBbJkY9LKx/SyBa79EnTPcpJ8gV9v3Z70nTnxF+kQ+PDmk9IqrWSo/9ncjodiVUUqFGjhjZt2qRt27YZegpMm/a/Ja+6d+9uuY+FCwvXRK5enaWwACBSdqVJfzY0xrtskxofMMZR/rnkUntvB01NnlwsPt+dKb/8cih6DTEBAHEgTCMfPU5p7HHSyPbSJJPPKoG02i3dukC6fskhpXmXlDkXFBdUUaBjx47atGmTJk2apOOPP77Ytl9//fXIv0899VTLfYwZM0YOh0MdOnQoXaYAgBJ9f6xUYDZ1YLX9uSB2dPB2MhQFsp37tN61Vk0LjotSVgCARLAtXXqvjfROWymrYvD3c/mk89YUFgNO2yxK2BEUVIeGPn36yO/3a/To0Vqx4n9zPaZMmaLJkyfL4XCoRo0a6tGjh+n9x44dq9mzZ0uSevXqFYa0AQBmmDoAM+09HU3jmSxNCACIAL+kKfWly/pLjQZLj/UMviBQO1f69wxpw3vStz9KvSkIRFxQIwV69+6tdu3aaeHChbrkkkt00kknKS8vT7NmzZLf75fD4dBdd90lp7N4jWHHjh367LPP9P7778vhcKh169YBRxMAAEpvb4o0oZEx3mG7dGy2/fkgdnS0bDY4TxflXWpzNgCA8ionSfqslfRmO2lRrdDu23Nr4aiAC1dJycG3GUAYBN1K8rXXXtN1112ndevW6c8//5Qk+f2FjRUuvvhiDRw4sNjtn3nmGX3yySdHble5cmU99dRT4cobAHCUH46VvC5j/CJGCSS8er76qlVQWztc24vFaTYIAAiHVVULCwEftpayU4O/X5pHunJ5YTGg/c6IpYcSBF0UqF27tr799lt99dVX+vPPP7Vz5041aNBAF1xwgc4+27ikUWpq6pGiQePGjfXqq6+qZUuWogKASLGaOkA/ATjkUEdvJ41z/VIsvsS9SPnKV7KSo5QZACBeFTikn5oWNg4cf0xo9z1ur3TLAmnQUqlqXgSSQ0hCWnQyLS1NgwYN0qBBg0q87Yknniiv16tOnTqpV69ecrsjt74lACS67GTp98bGeJudUvO99ueD2NPB20njUooXBfIceVruXqp2XpoAAwCCszNNGtVGerudtKlS8Pdz+KVz1km3zpf6bAyyuR1sEbFv6j179lTPnj0jtXsAwD/81FTKN3lFZ+oAinTwmPcVyHTPoygAAAjIL2l2ncJRAV+1MP/MYaX6IemGxdJNC6Um+yOVIcqCy/cAUA58azV1gKIA/l97iy/+85Pm6brDN9qcDQAgHhzSIX157G6N7CPNqxPafbtsK+wVcOlKKbUgIukhTCgKAECcy0mSfj3GGG+1Wzp+j+3pIEZV8VfVsd7jtNa9plh8PssSAgCOssG5Xh+njdbn+kR7egT/YSLFK122orAY0GV7iTdHjAiqKNCqVauwHdDhcGjZsmVh2x8AJLpfmkiHk4xxRgngaB28nQxFgVWulTrg2K+K/hAmhgIAyh2ffPozeYJGp76nCcm/y+/wB33fxtnSzQulG5ZINQ5FMElERFBFgaJVBAAAscdy1QGKAjhKR08nfZP6VbGY3+HXQvcCneQ5JUpZAQCiaa9jj75I/Uwfpo3SBtf6kO571vrCUQH91ksuvjLGraCnDzgcDklSjRo1dOaZZ6pq1aoRSwoAEJyDbunnpsZ4sz1Sm13254PY1sFr3WyQogAAJJbF7oUanfqevkv9WoccwV/er3xYun5J4ciAZvsilx/sE1RRoHfv3poyZYo8Ho927typr776St27d1f//v3Vp08fpaenRzpPAICJccdIB82mDqyWHLZng1jX2ttGSf4keRyeYvH5SfMkhnsCQLmXpzz9mDJWo9Pe09yk2SHdt92OwlEBVyyX0r2RyQ/REVRR4M0331ROTo5+//13/fzzz5o1a5amTJmiqVOn6rHHHlOvXr10zjnn6NRTT1VycnKkcwYA/D+mDiAUqUpVa+8JWpA0v1icZoMAUL5tdW7RR6mj9WnaR9rl3Bn0/ZKUpIvWZ+jWmXvVI4sLDuVV0NMHMjIyNHDgQA0cOFB79uzRr7/+ql9++UWZmZn6/fffNX78eFWoUEF9+vRRv3791LNnT7lcrkjmDgAJ7bBL+vFYY7zJPqnDDtvTQZzo4O1kKApkubbqb+c21fHVjVJWAIBw88uvKUmTNDrtPY1L/lk+hy/o+9YtqKfr8m/QbWm3qM7UftKOvRHMFNFWqiUJq1WrpiuvvFJXXnmltm/frl9++UU///yzlixZorFjx+r7779XlSpV1LdvX/Xv31+dO3cOd94AkPB+P0bKMRmcxdQBBNLB00kfpI0yxOe7M3V2fv8oZBT7/PJriXuRViWvUFM1Umf1iHZKAGDpgGO/vkr5XB+kjdJqd2hDB0/KP0XXHRqss/P7K9WdrKppTBNPBKUqCvxT7dq1dd111+m6667T5s2b9dNPP+mXX37R6tWr9cUXX+jLL79U7dq11a9fP/Xv31+tW7cOR94AkPC+aWYeZ+oAAunoNS/Uz3fPoyhwlLWu1fou5RuNSflGa9yrj8TPTO+rj7O/lFPOKGYHAMUtdy3T6LT39HXqlzroyA36fum+DF2ad7muOzRYLQpaRjBDxKoyFwX+qWHDhrr55pt18803a+3atfr555/166+/av369frggw/0wQcfqHHjxho3blw4DwsACSfPJf1gMnWg4X6py9/254P4cVxBM2X4KirHeaBYPDMpdvsKOJ0OOZ32jH/JcmRpTPK3+i75a813Z5re5vfkcfqqwme6Ov9aW3Ky4vP55fOxBhiQyDzy6NfknzQ67T1NT54a0n2be1vo+kNDdEneZcrwV4xQhogHYS0K/NOxxx6r22+/XZdeeqlGjhypr7/+Wn6/Xxs3bozUIQEgYfzRSMpONcYvWsXUAQTmlFMdvB01JXlSsfgCd6Z88kkxdvXb6XSoWtVUOZwR+8iivdqrb/WtPtfn+kt/ya+Sv2iPSn9bt6XfLEcUn3F+n1d79h6mMAAkoO3Ov/Vx6gf6JPVD/e3aFvT9XH6Xzs4/R9cfGqyenpOj+hqG2BGRd9jt27fr119/1bhx47Ro0SL5/X75/YVvWPXr14/EIQEgoViuOrDaPA78UwdvJ0NRYL8zW+tca9VSLaKUlTmn01FYEPj5SmnP8rDtN9ddoB8b7NcXx+zVr/X2y+MK7Yv1Yi3WlN9a6JQdGWHLKSTVWsnR/zM5nQ6KAkCC8MuvmUnTNTr1Pf2c8oO8juDXBazpq6WrDw3SNYevUz0f38dQXNiKAtu3b9e4ceP066+/GgoBderUUd++fdWvXz+1bds2XIcEgITkcUpjTaYO1DsgdcuyPx/Enw6eTqbxTPdctSyIraLAEXuWSzvml3y7ADxOaXxj6fOW0tjjpNwyrqL8xjGrdcqSsu0DAEqSoxx9m/pfjU57T8vdS0O6b1dPN91waIj65w1Qslg6HubKVBQoKgSMGzdOCxcuLFYIqFGjhvr27auzzz5bnTqZf/gAAITuz4bS3jRj/MLVsTbwG7Gqo9f8fXl+0jxdUXClzdlElk/StPqFhYCvW0i7TZ47JUkqkFw+6XBS8fh3zaQtGVKDnLCkCgDFrHGt1gep7+nL1M91wLk/6PtV8FfQhYcv0XWHBuuEgjYRzBDlRchFge3bt+u3337Tr7/+aigEVKlSRWeeeab69eunE088UQ4Hc1QAINwspw6w6gCCVNdXT3UK6hrmoc53x26zwVD4JS2sKX3eSvqyhbS5Uuj7cPilXpulK1YUFtxGdJKe6Vb8NgVO6Z220pPTw5I2AKhABfpe3+uVjNf0V9LEkO7b1Husrjt8oy47fKUq+6tEJkGUS0EVBXbs2HFkRMCCBQuKFQIqVaqkM844Q/369VP37t3lcrkimjAAJDKvQxpznDFeO1fqydQBhKCDt5N+df1ULLbEvVh5ypMUn+tSr6kifdGy8M/y6qXbR6e/CwsBl66U6v9jBMBNi6TnuxYWAv7p3bbSv2dJKQWlThsAlK98jUp7R6PS3tYWbZaSSr6PJDn8Dp2Z31fXHxqiXp7TWCoVpRJUUaBXr15H/u33+5Wenq7evXurf//+6tmzp5KSgnzUAgDKZHIDaVcFY3zgainEPmlIcB09nfRrSvGiQL4jX0tdS1RHp0Qpq9BtS5e+alFYCJhdt3T7aL6nsBBw+Qqp+V7z2zQ8IJ2/Rvr2qJE6O9Klr5tLV4WvByKABOOXXzdVukE/pXwf9H2q+arpysPX6tpD16uRr3EEs0MiCKoo4Pf7j0wFaNGihXr16qXk5GQtWbJES5aE3mFn6NChId8HAMDUAYRPB4u+ApnuuTo9xosC+1IK5/N/3rKwx4avFBfG6h+QLlspXbFc6rAjuKU8h843FgUk6fUOFAWAeOZ0OuR0Rm/a8wT3+KALAh29nXVj3hCdnz9QqUotbCYUocEBLhejDhJFyD0FVq1apVWryvbpk6IAAISuwFH4RehoNQ5Kp2yxPx/Et/beDqbxTFds9hU45PLpp+aFhYBfmkj5pWiVXPWQdPGqwlEBJ28J/XN0ry3SCTulJTWLx2fXlWbXkbr+HXpOAKLL6XSoWtXUwqVPo8Ann57REwFvk6IUXabLdKtuVRd3l8JvcPE5ywsxKuhHf1EPAQBAdEyrJ203+RBw/hrJzUs0QlTJX1nNvM212l280D/PPTdKGRl55NFf7sn6Ud9pzMWLlVOK2YoVPNJ5awqnBpy1QUr2lT4fh6ShC6Sb+hi3jWwvdR1X+n0DiA6n01FYEPj5ysKlT23232P2asHJG0y3HZOTrJtX1tD1a6urRt4iSf+yNTcdc7Z08tP2HhNREVRRYMWKFZHOAwBQAqYOINw6eDsZigKrXauUrWyVcdXiUvPJpznu2fou9b/6IWWMdjt3F24IoSDgLpD6bigsBAxYK2V4wpfflculYSdL2anF41+2kF6cJNU6FL5jAbDRnuXSjvm2HtLjlP59jvm2J6dKD87Ol8ufJSlKnYSrtYzOcWG76LzjAwBC4pP0rcnUgaqHpN6bbU8H5UQHTyf9N/ULQ3yu5qqjupncIzL88muZa6m+S/1aY1K+0RZX6R7UvTYXFgIuWiVVPxzmJP9fhke6fon0n87F4/luaVQb6aHZkTkugPLn/ROktVWN8ab7pPvn0EAY9rG9KPDnn3/qtNNOs/uwABDXZtaTsioa4+etlZLKMBwaia2jRbPB2ZptS1Fgg3O9xqR+ozEp32iFu3TDdjts/98Sgg0PhDlBC7cslF7pJPmP6kv2VvvCD/JM5wFQkoNu6Ynu5tuenFa2qU5AqGwrCuzcuVNPPvmkxo8fr+XLadELAKH4xmSUgMTUAZTN8d4TlOxPVr4jv1h8tmbrpggdc7tju35I/U7fpXyjeUlzSrWP4/b+bwnBlnvCnGAwx98nnb1e+qVp8fiWitL3x0kXrrY/JwDx5bWO0t8ZxnjbHdJlzNyGzUIqCqxYsUIffPCB5syZo127dqlWrVo644wzNGTIEFWrVs3yfl988YVefvllHThw4MjShgCA4Phl3k+gUp50xibb00E5kqIUneBto8yk4isOzFZ4x8Dvd2Tr5+Qf9V3q15qSNEk+R+iXwOoedOuyZV5dsULqtD24JQQjaeh8Y1FAKlyekKIAgED2pkjPdzHf9uzUiK0wCFgKuigwZswYPfroo/J6vUdWIti6das++ugjjRs3Tp988okaNmxY7D5r1qzRI488ogULFhyJVapUKTyZA0CCmFNH2mzy0jlgrZRSYH8+KF86eDsZigJZylKWI0u1VKfU+z2kQ5qQ/Lu+S/1aE5J/U54jL+R9VPZV0QDP+RqUcrV6fXePXNsXlDqfcDtrQ+GIhTVHzQee1FBaXENqsysqaQGIA893lfalGuMnbykchQTYLahC1Pr16/XII48cKQjUqVNH7dq1U6VKleT3+/X333/rzjvvLHafTz/9VBdeeKEWLFggv98vv9+vAQMG6Ndff43EzwEA5RarDiCSOnjM+wpklmJpQq+8+jPpD91W8Sa1rn6cbqh8tX5O+SGkgkCaP03nHx6oj7O/1JLdq/XqwTfUW73lOnoCf5Q5Jd26wHzbyPY2JgIgrmzNkF7tYL7t2SnRHwWFxBTUSIGPPvpIXq9XbrdbTz31lM4//3xJksfj0YcffqiXX35Zy5Yt07Rp09SzZ089/vjj+uqrryRJfr9fjRs31uOPP67u3S26aQAATPll3k8gI186c6Pt6aAc6ujtbBrPdM1TX1mslfUPfvk11z1b36V+re9TxmiXc2fIObj8Lp2Wf7oG5l2svvn9lOE36aoZgwYtlR4+STp41HKJnxxf+OG+auiDIwCUc092kw6bLLF67lqpZ5RWHgSCKgosWLBADodDgwYNOlIQkKSkpCQNHjxY69at09ixY/XHH39o3rx5+vLLLwt37nZr8ODBuvnmm5WcnByRHwAAyrP5taT1VYzxc9ZJaV7b00E51LTgWFXyVdZ+Z3axeEkjBZa7lh1ZQnCTq3QVqm75PXRB3kU6N+981fDXKNU+oqlKnnTNUunt9sXjB5OkD1tLd2VGJS0AMWp1lcKlS4/m8EtPT7U9HeCIoIoC27ZtkyT169fPdPu5556rMWPGaNKkSdqxY4ckqVmzZnrxxRfVsmXLMKUKAImHqQOINKecau/tqMnJfxaLZ7oz5ZNPzn/MNNzk3KgxKd/ou9RvtNy9tFTHa+1to4GHL9YFeReqga9hyXeIcbcuMBYFpMIpBHdk0jAMwP880lMqMHlRuGoZfUgQXUEVBXJzcyVJ9evXN93etGlh+92srCz5/X6de+65evrppxkdAABl4Jf0tUlRoIKHRkQIr46eToaiQI7jgNa4Vquqr5p+SPlO36V+ozlJs0q1/8YFx+jCwxfrgryL1aKgfF0sOGG3dNom6c9GxeNrq0rjmkj9eK4CkJRZS/rK5OUvqUB6Yrr9+QD/FFRRwOv1yuFwWH7Jz8j43yKbvXr10osvvhie7AAggS2uYexsLkn91kkVmDqAMOrgNW82OKjSFVrvWqcCR+jLXNT01dIFhy/UwLyL1cHbSY5y3D5r6HxjUUAqXJ6QogAASXroJPP4TQulJvvtzQU4WtBLEgbidP5vHMwdd9wRjl0CQMKznDrAGugIs44WRYE17tAebJV8lXVO3gANzLtYPT0nyyVXONKLeQPWSg33G5cOHdekcA5xs33RyApArPizofRbE2M8PV96uHQDsICwCvtUt2bNTNpkAwBCZlYUSPUUjhQAwqm2r47qFZhPESxJqj9VAw5foA+yP9OS3av1Ss5IneI5NWEKApLk9ks3LzTf9mZ7W1MBEGP8kh60GCVw9zyp9kFb0wFMhWWkwD8lJZmssQEACMmyatLy6sZ43w1SRY/t6cAmLlf02tJ1LOikLNfWoG7r8rt0qre3Lsy/WP3yz1El/f8l8rB/qojuOQnFjYulJ7pLeUedg9EnSE9OkzJ43gIJ6fvjpFn1jPHqh6R7Ai/yAtgmAm/fAICyYtWBBFOhjuQrUKVKaVFL4XSdpp/0Q8Db9FRPXa7LdbHjYtVKqiUlSUq3J79YV/OQdNkK6aMTisf3p0iftpJuWhSdvABET4HDupfAQ7Okyvn25gNYCako4HCU3yZBABBLzIoCyV7pHKYOlE+pVSSnS/r5SmnP8qikcKO7QM+d79b2tOJdLNvuSdXlG6rqsg1VdUzuQUnv//8fmxxztnTy0/YdrwyGLjAWBSTpjQ7SvxapHLdaBGDmk+PNR/01OCDdssD2dABLIRUFbrzxxmJNBYv4fL4j/77mmmsC7sPhcOijjz4K5bAAkFBWVpUW1zTGz9zIVYVyb89yacf8qBw6Q9KcT6SnTpT2pkrN9xZe+T5h92FJ2/7/TxRUi58lDDtvl7plSTOPGiq8tIb0V0PptM3RyQuA/Q67pMd6mG97YrqUGvqiLkDEhFQUmDdvnuW2olEEc+bMsbyN3+9ntAEAlOBbi36tTB1ApDU8IL0zIdpZxLeh841FAalweUKKAkDieLudtKmSMd5yt3TNUvvzAQIJqihQr57JuxsAICLMpg64CwqXPQMQ2y5aLd2dK+04qtfC98dKmypKjQ5EJy8A9tmfLD19ovm2p6cWrlgCxJKgigITJ06MdB4AAElrK0vzaxvjZ2ySqubZnw+A0KQUFPYPeLJ78bjPWXjl8Jmp0ckLgH1GdJZ2VTDGu2yTLlhjfz5ASeJjnR8ASBDfsuoAEPf+tahwdM/R3mtTOM8YQPm1I00a0cl823NTaDiK2ERRAABiyDcm/QRcPuk8pg4AcaN+jjTQ5GrgrgrSVy3szweAfZ7uJuUmG+NnbpB601cEMYqiAADEiI0VpTl1jfHTNks1DtmfD4DSG2qxiMTrHSSmEwPl04ZK0lvtzLc9M8XeXIBQUBQAgBjB1AGg/Dhpq9RuhzE+r440y6T4ByD+PdZD8phMEbpkpdTJ5PUAiBUUBQAgRpitOuD0SefTlAiIOw5JQxeYb3u9g52ZALDDkurSJ8cb4y6f9OQ0+/MBQkFRAABiwJYMaYbJ6q+nbJFqH7Q/HwBld8VyqarJ1J+vm0t/m3QmBxC/Hj5J8pt0EbxhsdR8r/35AKGgKAAAMeA7kwaDUuGa5wDiUwWvdMMSY9zjkt5ra38+ACJjej3ph+OM8VSP9OhM+/MBQkVRAABigNnUAYdfuoCiABDXbl5Y+Fw+2tttJQ+fwoC455f0wMnm226fX7gaCRDreDsCgCjbli5NrW+M99wq1cu1Px8A4dM0WzpnnTGeVVEaY3JlEUB8GXeMNKWBMV75sDRsju3pAKVCUQAAomzMcebzEFl1ACgfAi1PCCB++SQ9aDFKYNgcqdphW9MBSo2iAABEmdnUAUkayKoDQLlwxkapxR5jfGoDaUFN+/MBEB5ftZQW1jLG6+RIt2fanw9QWhQFACCKdqZJk0yGHXbLkhoesD8fAOHnlHTrAvNtbzBaAIhL+U7p3z3Ntz06U0r32psPUBYUBQAgisYeJ/lMXomZOgCUL9culTLyjfHPWkp7Uu3PB0DZvN9GWlfFGD92r3TjYtvTAcqEogAARJHV1IELWXUAKFcq5RcWBo52OEkafYL9+QAovVy3NLyb+bYnp0tJPnvzAcqKogAARMnuVOmPRsZ457+lY/bbnw+AyLKaQjCyvVRg0mwUQGx6raP0d4Yx3m6HdOkK+/MByoqiAABEyQ/HSgVMHQASRqs9hU0Hj7ahsvRLE/vzARC6PanS813Mtz07hS9XiE88bgEgSpg6ACQelicE4tvzXaRskz4gp2yW+m6wPR0gLCgKAEAU7EuRxjc2xtvvkI7bZ3s6AGxyzjqpcbYxPv4YaUU129MBEIKtGdJrFgW8Z6dKzAJCvKIoAABR8GNTyeMyxpk6AJRvLr90y0LzbSPb25oKgBAN71bYHPRoA9ZIPbLszwcIF4oCABAFVlMHKAoA5d8Ni6VUjzH+YWtpf7L9+QAo2aqqhcsQHs3hl56ean8+QDhRFAAAm+1Pln47xhg/YafUYq/t6QCwWfXD0hUmHcpzkqVPjrc/HwAle6SneXPgq5dJJ+y2Px8gnCgKAIDNfm4q5bmN8YtoMAgkjKELzONvtJf8diYCoETzakn/bWGMJxVIT0y3Px8g3CgKAIDNvmlmHmfqAJA4OuyQem41xldUl/5oZH8+AKw9eLJ5/OaF0jH77c0FiASKAgBgo5wk8/XIW+6Wjmf4IZBQWJ4QiH1/NCpcHeRo6fnSwzNtTweICIoCAGCjX5uYdy6+aBVLGQGJZuBqqW6OMf7jsdKGSvbnA6A4v6QHTzLfds88qdYhW9MBIoaiAADYyHLVAfoJAAkn2Sf9a5Ex7ndIb7a3PR0ARxlznDSnrjFe/ZB0z1z78wEihaIAANjkoFv62WTqwHF7pbY77c8HQPQNWSS5C4zxUScUvmYAiA6vQ3rYYpTAwzOlSvn25gNEEkUBALDJb8dIuSZrkDN1AEhcdXOli02ajO5Nk75saX8+AAp93Lqw8efRGu4vbDAIlCcUBQDAJpZTB1h1AEhoVssTvt6B5QmBaDjskh7rYb5t+HQp1WR0DxDPKAoAgA0Ou6Qfmxrjx2RLHXfYnw+A2NE9S+q43RhfUEuaXs/+fIBE92Z7aUtFY/z4XdLVy2xPB4g4igIAYIPxjaUDKcb4hauZOgAkOodYnhCIFdnJ0jMnmm97eprkYvgOyiGKAgBgA6YOAAjkspWFHc2P9m0zKSvd/nyARDWis7Q7zRg/MUs6b439+QB2oCgAABGW75S+P9YYb3BA6rrN/nwAxJ40r3TjYmPc65LeaWd/PkAi2l5BermT+bbnpjCyD+UXRQEAiLA/GknZqcb4hat4EQbwPzcvkJw+Y/ydtoXFRQCR9fSJ5qsEnbVeOnWL/fkAduEtBgAizHLqwGp78wAQ2xofkAasNca3p0vfWryOAAiP9Rl5ettiVM4zU+3NBbAbRQEAiCCPUxp7nDFeN0fqsdX+fADEtkDLEwKInMfabpPHZYxfuoJVglD+URQAgAj6q6G0x6Rh0cDVvAADMOq9SWq12xifUU+aV8v+fIBEsFiL9WnTvYa4yyc9OS0KCQE24zMpAETQN83M46w6AMBMoOUJ32C0ABARD+th+U26CN64WGq2z/Z0ANtRFACACPE6/BpjUhSoeVA6makDACxcs0yqlGeMf9FS2mUy8ghA6c10zdCP+tEQT/VIj86IQkJAFFAUAIAImVIrRzsrGOMDV0suv/35AIgPGR5p0FJjPM8tjWpjfz5AeeWXX8PTHjXddsd8qV6uzQkBUUJRAAAi5JvG+0zjTB0AUJJbF5jH32oneVksHQiLP5J/18wk43CAKoelYbOjkBAQJRQFACACClSg7xruM8SrH5J6sdYxgBI031u4NvrRNlWSfjrW/nyA8sYnn55Kf8J027A5UlWTKTxAeUVRAAAiYLqm6+8KXkP8/DVSki8KCQGIO5bLE7a3MwugfBqT8o2WuZcY4nVzpNszo5AQEEUUBQAgAr7RN6Zxpg4ACNbZ66Wm+4zxiY2lZZUP2Z4PUF7kK1/PpT9luu3RGZJJTR8o1ygKAECY+eTTt/rWEK9yuHANcgAIhssv3bLAfNsbLXbZmgtQnnya+pE2ujYY4sfulW4wDh4Ayj2KAgAQZnNdc7RVxjUHz1sjJTN1AEAIrl8ipXmM8Y+b7lG2su1PCIhzucrViPTnTbc9NY0pfkhMFAUAIMx+SB5rGr9otb15AIh/VfOkq5Yb47lJPn2oD23PB4h371V4SzudOwzx9nvSdMnKKCQExACKAgAQRn759UPSWEO8Yp7UZ6P9+QCIf0Pnm8dHaqR84rImEKw9jt16Pe0V023Pzq/HFyMkLB77ABBGC9yZ2uLabIgPWCulFEQhIQBxr+0u6RTjy4pWa7X+dE+0PyEgTr1W4T864NxviPdSL52VVTEKGQGxgaIAAITRjynfm8aZOgCgLKyWJ3wv5W1b8wDiVZZzq95Pe8d027N6Vg45bM4IiB0UBQAgTPzy68eUsYZ4er501gbb0wFQjpy/Rqp/wBgfn/Sb1jvX2Z8QEGdeqvCc8hx5hni//HPUXd2jkBEQOygKAECYLHEvMl3i6Jx1UhprHgMogySfdNNCY9zv8OuDtFH2JwTEkdWuVfo89RND3OF36OFDj0YhIyC2UBQAgDD5Mdli6sAqmxMBUC4NWSQlmxQYv0j9VLnKtT8hIE48l/6UfA5jU85L8i5XK9/xUcgIiC0UBQAgDPzy64eUMYZ4mkc6e30UEgJQ7tQ6JF1iUmTMdu7Tt6n/tT8hIA7Md88zndqX7E/WfbkP2p8QEIMoCgBAGCx3LdM691pDvN96KZ2pAwDCxGp5wvfT3pVffnuTAeLA0+nDTeODDt2gRr7GNmcDxCaKAgAQBmZXISSmDgAIrxP/lrpsM8aXu5dqZtJ0+xMCYtikpD81OflPQzzdl6E7D94XhYyA2ERRAADC4CeTpQhTChzqT1NwAGFmtTzhKIvl1oBE5JdfT6c/brrtlkO3qYa/hr0JATGMogAAlNFK1wqtdK8wxPtmVVJFTxQSAlCuXbJSqnnYbYj/kvyjspxbo5AREHt+Sv5BC5KM822q+6rr5kNDo5ARELuM7yhx4NChQxo1apR+/vlnbdmyRenp6TrhhBN0zTXXqFevXiHvb8uWLTr99NMD3qZly5b6/nvzzuIAEpvZKAFJumhjFUnZtuYCoPxLLZAGr66uZ9psLxYvcBToo9T39eBBllhDYvPKq2ctegncdfA+Zfgr2pwRENvirihw8OBBDRo0SAsXLlRSUpKaNWumffv2aerUqZo6dapuu+02DR0aWvVvxYrCK3xVqlRR06ZNTW9zzDHHlDV1AOXUjyZFgSQl6dwtlaOQDYBEcNOqGnq+zS4VqKBY/JO0D3X3wWFKUUqUMgOi76vUz7XGvdoQb1DQUNceuiEKGQGxLe6KAsOHD9fChQvVqlUrvfXWW6pbt64kaezYsXr44Yf1+uuvq2PHjurRo0fQ+ywqCvTt21dPPPFERPIGUD6tda3WMvcSQ/xMnanKnqwoZAQgETQ8mKzzdb6+1bfF4rucu/R9yne6JO/yKGUGRNchHdKLFZ413XZ/7kMUzAATcdVTYNOmTfrhhx/kdDr10ksvHSkISNL555+vwYMHS5Jef/31kPa7cuVKSVLz5s3DlyyAhPBT8g+m8Yt0kc2ZAEg0Q2U+MnJ02rs2ZwLEjg/SRinLZeyt0cLbUhfnXRaFjIDYF1dFge+//14FBQVq3769jjvuOMP2yy8vrIpnZmYqKyv4K3RFIwUoCgAIldnUAbffrQEaEIVsACSSXuqlVgXHG+KZSfOU6Z4bhYyA6NrvyNarFV4y3fZQ7mNyyWVzRkB8iKuiwIIFCyRJnTp1Mt1eu3Zt1a9fX5I0e/bsoPaZm5urzZs3S6IoACA0G5zrtShpgSF+ivdUVVM1+xMCkFAccmjw4X+Zbnuf0QJIQG+mvaa9zr2GeCdPF/XN7xeFjID4EFdFgY0bN0qSGjVqZHmboqLAhg0bgtrnypUr5ff7VatWLe3Zs0f/+c9/NHjwYF1//fUaPny45s2bV+a8AZRPP6WYTx0YkH++vYkASFgX51+mSj5jU9PvU77TTsfOKGQERMcOxw69XWGk6bZHcp+QQw6bMwLiR1w1Gty9e7ckqVo16ytwVapUkSTt3WusEpopmjqwf/9+9e/fXwUF/+viO23aNH322We68MIL9cQTTygpKamUmRdyu+OqBhNVLpez2N8oxHmxFo1z81OqceqAy+/SAB9TBwDYo5Kroq7Mv1pvpb5RLJ7vyNfn6R/pnsP3RzwH3puscW7MReK8vJr2og46Dhrip3v66BT/KZbfevjdoLTK02MnrooChw8fliQlJydb3iYlJaXYbUtSVBTIy8vTpZdeqquvvlqNGjXSrl279P3332vkyJH69ttvlZycrMcff7zUuTudDlWtml7q+yeqSpXSop1CTOK8WLPr3GzSJmXKOGf3VMepalKxoS05AEClSmm6W3fobY2UX/5i2z5Me1+Ppz0it00f93hvssa5MReu87JO6/ShRptuezHpeT6DIyLK0/M6rooCLpdLPp8vqNs6HMENEercubP8fr9atWqlK6644ki8Xr16uvnmm1W/fn3dd999+vLLL3XllVeqWbNmpcrd5/Nr/35j9RLmXC6nKlVK0/79h1RQENzvPBFwXqzZfW4+TflSqmCM98s9V/sLDpWrNwoAsWv//kOqXlBXZ2ScqfFJvxXbtlVb9WnOlzrPc0FEc+C9yRrnxly4z8uDFR6WJ8VjiA/Mv0jH5DbXXuWWmAsQqnh4XleqlBbUiIa4KgpUqFBB2dnZys/Pt7xNXl6eJCk1NTWofQ4YMEADBlgP9R0wYIBGjhypDRs26I8//ih1UUCSvN7YftDEooICH+fNBOfFml3n5vuMMYaYw+/QWYfOUYGL3w0AexS95l1/8P/Yu+/4qKq0geO/mfROQgk9gRBCQiCh9957EZFmw4qKrtjb2suqq7uKrqCyoIIo0lvovRMIvbcQQhJISC/T7vtH3rlmmAnFJRly83z3sx/hnjszzxxuOfPcUx5jTcAqu/Lv3acxqGBYucYi7EndOHYn6uWIy2Hmuf9mt91VceXlnDcw3eIDRSFul5bO6wo1ECIwMBC48XwB1rKqVavesc+NjIwEICkp6Y69pxCi4rqsT2a320677R2Mnaih1HBCREKIyq6HoTcNTA3ttm9338pRlyNOiEiI8vGxz3soOsVu+/jCB2loCXNCREJUPBUqKdCwYfHN7tKlS6XuYy0LDQ295fc1Go02EwxezzpkwdW1QnWsEEKUkRXuSx1uH1JUPk/jhBDienr0TCx8zGGZLE8otGqn6w5We8TZbfdSvHghv+wn2RRCKypUUiAmJgaAhIQEh+UpKSkkJycD0KJFi5u+X1ZWFm3btiU6Opp169aVut+xY8cAaNSo0W1GLITQoqUe9qsOAAwyyKoDQgjnGVM4Hm/FfkK1+Z6/kam7tVWZhKgoFBQ+8H3bYdljBZOoaalVzhEJUXFVqKRA//79Adi9ezdnz561K//1118BaNu2LXXr1r3p+wUEBFCtWjUAFixY4HCfuLg4EhMTcXNzo0+fPn81dCGERqTp0tjhts1ue1tje2mACCGcKkCpwr2FY+y25+vy+dVzthMiEqLsrHGPcziUL8BShWfyn3NCREJUXBUqKRAaGsrgwYMxm81MnjyZCxcuqGWLFy/mhx9+AGDSpEl2r01MTOTMmTOkpaXZbH/88ccB2LBhA//85z9tJjGMi4vjtddeA+DRRx8lODj4jn8nIUTFssJjqcOxizJ0QAhxN3ik4HGH22d4TceCNibEEsKMmQ993nVYNjn/eaoogeUckRAVW4UbJP/mm29y8uRJTp48yYABA2jcuDHZ2dnqXALPP/88HTt2tHvdQw89xKVLlxgxYgSffPKJun348OGcOHGCGTNmMH36dGbPnk1oaChXr14lNTUVgHvvvZdnn322fL6gEOKuVurQgSIZOiCEcL4m5kg6G7qy1X2zzfYLLudZ576aPob+TopMiDtngcc8jrketdsebK7JowVPOCEiISq2CtVTAIpXIPjtt9945plnCA0N5cyZM1y7do22bdvy9ddf8+STT972e77yyiv897//pVevXnh6enLixAlMJhM9evRg2rRpfPDBB+j1Fa6qhBB32FXdVba7bbHb3srYmrqWek6ISAgh7E0spbeATDgotMCAgX/4fOiw7MX8V/HGu5wjEqLiq3A9BQC8vb2ZPHkykydPvuXXrF+//oblHTt2dNjDQAghrOI8lmPW2a9UMrhoePkHI4QQpehvGEgdc10uudgupbzefS1nXU7T0CwTJ4uK62fP/5LocsFuewNTQ8YV3u+EiISo+OTxtxBC3KKlHoscbh8sQweEEHcRV1x5qOARh2UzPL8v52iEuHNyyeWfPp86LHst/y3ccCvniITQBkkKCCHELbimy2CL2ya77THGFoRYQss/ICGEuIHxhQ/ioXjYbf/Vcza55DohIiH+d9O9v+Wq/ord9mbGGIYWjXBCREJogyQFhBDiFqxyX4lJZ7LbLqsOCCHuRtWUagwvusdue44+m3mec50QkRD/m3RdOt94feWw7I28t9HLzxoh/jI5e4QQ4haUOnTAIEMHhBB3p9JmYZ/hNR0F+6VVhbibfeX9BTn6bLvtnQxd6GHs5YSIhNAOSQoIIcRNZOuy2OhuP1lplClaJuwSQty1YkwtaGVsY7f9hOtxtrptdvAKIe5Ol/RJzChl9Yw38t5Gh66cIxJCWyQpIIQQN7HKfSVGndFuuwwdEELc7R6R5QmFBnzu/QlFuiK77QOKBtPa1NYJEQmhLZIUEEKIm1jqsdjh9iGyFKEQ4i43tGgE1S017LbHuS8nSX/RCREJcXtOuZzkV89f7LbrFT2v5/3dCREJoT2SFBBCiBvI1eWwwX2t3fYIUxMamyOcEJEQQtw6d9y5v+Ahu+0WnYWZXj+Wf0BC3KaPfd7HorPYbb+vcBwR5iZOiEgI7ZGkgBBC3MAa91UOuywOlqEDQogK4qHCR3BVXO22/+I5k0IKnRCRELdmv2s8yxz01nNX3Hkp/zUnRCSENklSQAghbkCGDgghKrqalloMKrJfKSVDn8Eij/lOiEiIW/OBz7sOtz9c8Bh1LfXKORohtEuSAkIIUYo88ljnvtpue5ipEZHmKCdEJIQQf80jpSxP+IPXNFmeUNyVNrltYIv7RrvtvhY/nst/ofwDEkLDJCkghBClWO++hgJdgd32IUXDZfkjIUSF0s7UnqamZnbbD7olsNd1txMiEqJ0Cgof+LzjsOypgslUU6qVb0BCaJwkBYQQohRLPRY53D7EIPMJCCEqFh06WZ5QVBjL3BdzwG2/3fZqlmo8WfC0EyISQtskKSCEEA4UUMBqj1V220PMoUSbmjshIiGE+N+MLLyXKpYqdtuXeiwiVZda/gEJ4YAJEx/5vOew7Pn8l/BV/Mo5IiG0T5ICQgjhwAb3deTr8uy2y9ABIURF5Y034wofsNtu1Bn52eu/TohICHtzPWdzxvW03fZ65vo8UDDRCREJoX2SFBBCCAdKHTogSxEKISqwhwseRafYJzZnec7AiNEJEQnxpwIK+Mz7Y4dlL+e9jgce5RyREJWDJAWEqEA2uK7na75mr8seZ4eiaUUUscp9pd32uuZ6xJpaOiEiIYS4M0IsofQ19LfbnuqSwnKPJU6ISIg/zfD6nssuyXbbm5giGVV0nxMiEqJykKSAEBWAGTOT/Z7kHr+hPMuz9PXvwd98n5anOmVkk/t6cvU5dtsHFw2ToQNCiAqvtOUJZcJB4UxZukz+7f25w7LX897GBZdyjkiIysPV2QEIURHo9Tr0euf9GHzX601+85xjs22O18+ku1zlx7xZeOPtpMjAYlGwWLS1xvVSj8UOt8vQASGEFnQ1dqeRKZzTrqdstu9y28Ehl4M0M8tkqqL8fev1FZn6TLvtrY1t6WcYUP4BCVGJSFJAiJvQ63UEBXqi0zvndPme7/mGrxyWrXJfyX3uI1jKUgIJLOfIiikWExnXCjWTGDBgIM59hd32WubatDK1cUJEQghxZ+nRM7HgMV73e9mubIbXdL7MneqEqERllqpPYZr3tw7L3sp7V3rpCVHGJCkgxE3o9brihMDy8ZBxrFw/e13NHJ7qdfqGA322sY2u12qzal0jahe4lV9wAEGR6AbNRq/XaSYpsNVtE1kOnlQMLhqKXkZcCSE04r6icXzo8x55+lyb7fM9f+fvee8RqAQ5KTJRGX3h/Sn5uny77b2K+tDB2MkJEQlRuUhSQIhblXEM0vaX28cdD4J7uoDpFn6HHg4spGOfw6yeD42vlX1sWlbq0AHD8PINRAghypCf4s99RWOZ4fW9zfZCXSGzPX/mmYLnnBSZqGzO6c/ys+dMh2Wv571dvsEIUUnJYy8h7kJXvWDQCMjyvPXXXAiAzmMgvkbZxaV1Roys8Fhqt72GOZg2xnZOiEgIIcpOaRMOzvT6ATPmco5GVFb/8PkQk85kt31k4SiZ30KIciJJASHuMkUuMGIonK3iuPzJBKif7bjsijd0vw/W1yur6LRtu9tWruntu1oMMgyRWY+FEJoTbm5MV0MPu+2JLhdY477KCRGJyuaQy0EWeM6z2+6quPJy3htOiEiIykmSAkLcRRTgsT6wta7j8rHH4Nt1sO1XiLrqeJ9cdxgwEuaHl1mYmlX6qgPDyzcQIYQoJ4+WujzhtHKORFRGH3i963D7hMIHaWgJK+dohKi8JCkgxF3kw3bwc1PHZR2SYcYq0AF1c2HLb8XbHDG4wr1DYJr0urtlZsys8Fhit72apRrtjR2dEJEQQpS9PoZ+1DPXt9u+yX0Dp1xOOiEiUVlsZjNr3Ox7pHgpXryQ/4oTIhKi8pKkgBB3id8bw1udHZeFZsGiReBZYohnUCGsmQcDzjp+jaKDJ/vAB+2KeyCIG9vptp2revvuFwOKhuAqc7IKITTKBRceKnjUYdkMr+nlHI2oLBQUXuM1h2WPFzxFsKVmOUckROUmSQEh7gK7asKD/R2X+RfBsoVQo8C+zMcEixfDhKOlv/dbneG5HmC5M6Fq1lKPRQ63DykaVr6BCCFEORtfeD+eiv3MtnM95pCjK2USGyH+B6vcVrKd7Xbbq1iq8Ey+rHwhRHmTpIAQTnbBD4YOh0I3+zIXC/y+FJqml/56NwvMWgl/iy99n69bwoSBYJAz3iELFpa52w8dCLQE0snYxQkRCSFE+QlSqjKy8F677Xn6XH73+NUJEWmDgkKSLonTnOaC/jyX9Emk6lO4qrtKpu4aubocCijAiBFLJUrdmzHzvtc7Dssm508hQKlSrvEIIZA+sUI4U7Y7DB4BaT6Oy79aD/0u3Px99MAXG6FGPrxeym/YXyMh3QvmLwFf41+NWJt2u+4izSXVbvuAosG44SBbI4QQGvNI4ePM8frZbvuPXtOZWPg4OnROiKpiOuVykl89f+F3j1//vLcE3Px1OkWH6///z0VxxRUX9c8u6p9d7PZxsZYq6itK/Ln4NdbXX7+PnpLvd/17u+KCXv2zo32K3/f6z/szrpLv5YoLLoor693XcszFvotjTXMtHil4/A7/awghboUkBYRwEpMOxgyCw9Udlz8XD08duPX30wGv7YbqBfBEb7A46BWwOhR6j4LlC6Fq4V+JWpuWlTZ0wCBDB4QQlUMzUwxtje3Z7bbTZvtp11NscttAd2NPJ0VWMeTqcljisYg5nj/b1eGtUnQKxv//X2XMwbyY/yreeDs7DCEqJUkKCOEkU7rDyoaOywadgX9u+mvv++ghqFoAYwdBkYMzfFdt6DIGVs2Hejl/7TO0xIKFZQ5WHfC3BNDF0L38AxJCCCd5tOAJhz9oZ3hNr1BJAb1eh15f9r+qFRR2uezkF4+fWOy+gDxdXpl/plY1NIUxtnCCs8MQotKSpIAQTvBNbPE4f0eap8Gvy8Hlf1gyYMRpiJtfPFdBjod9+bGq0HEsrP4DIjP++udowT7XvSS7XLLb3t8wEHfcnRCREEI4x8CiIQSba5LqkmKzfZX7Si7ozxNiCXVOYLdBr9cRFOiJTl92TdzLXOYnfmIGMziJLNt4J7xR+He8XB00WMqBi4tMuCSEJAWEKGdxofBsD8dlwXmwdBH43YEx/92TYNPv0H+k4zkLkvyg8xhYsQDapdiXVxZLPRY73D6kaHj5BiKEEE7mjjsPFD7MZz4f22xXdAozvX7k7bz3nRTZrdPrdcUJgeXjIePYHXtfo05hed0sZoSls6JONmb5HXnHtKQlD/lOQC/znwvhNJIUEKIcHa4Kowc7Hu/vaYQli6D+HezS3yINts2FvvfAuSr25Rle0HM0LFh8axMaao2CwjIHSQFfix/dDKVkboQQQsMeKJjIv7w/x6izzU7P9pzFS3mvVZwx3xnHIG3///w2R4NgRjP4ObL0SYFL42GCkaegYzJYdGDSF//fXOLPppJ/vknZ//Jasw5Mbu6Y3D0xmfIw6SyYdIrD9kh5qlHgypzVBeizWzsviNAB0OVD532+EHcBSQoIUU5SvYtXGnDUnR/g55XQtgye2DfKLE4M9B8JB2vYl+e7wZARMCsOxh6/859/Nzvgup+LLol22/sa+uOJ/ZrdQgihdcFKMEOKhrHA8w+b7Zn6TBZ6/sH4wgecFFn5yXaH3yJgRjTsrH37r2+ZChMPw7hjEFh05+P7y5rcA4PmwK8t1YSJwnXJhOuSCjcqu1m5uZTEhklXXFYnF/pcMFGt4M716PhLgpo49/OFuAtIUkCIclDgCsOGwYVSliT6cAuMOlV2n18rr3gowdDhsKWufbnRBcYPhKteMPl/f7BSYcjQASGEsPdIwRN2SQGAHz2nM67wfk0uT6gAW+rAj81gXmMouM3VaIMKYMIxePgwxF4pkxDLhA5wVcDVDJidHY0QwlkkKSBEGbMAD/crnvXfkQcPFy8lWNaqFBWvOHDfYFgaZl+u6ODZnnDFC97drv3VkBQUljpYitBb8aGnoXf5BySEEHeJ1qa2NDfGctAtwWb7YbeD7HLdSXtTB+cEVgYu+cKsKPhvNJwOvL3X6hToe764V8DQM+ApP6qFEBWUJAWEKGPvdITfSumZ1iUJpq0tvx/gXqbi+QMe6wszox3v836H4sTA1PX/2woId7vDLoc473LObnufon544eWEiIQQ4u6gQ8ejBU/wrNsku7IZXtNon1OxkwIGfXFyfEZ08eS/tzuuvkEmPHwEHjxyZ+cBEkIIZ5GkgBBl6JfI4h/ZjjS6BgsXg0c5P1lwVWDGKqiRD5+2dbzPd7HFQwl+WVn+8ZWXZQ56CQAMKRpWvoEIIcRdaFjRSN6xvEGG3nbd2mUeS0jJu0xNSy0nRfbXHa5aPDzgl0i4epvzJXoai4f5TTwM3S4i8+QLITRFkgJClJGtdeCRvo7LqhTCsoVQtbB8Y7LSAf/YAtUL4KVujvf5IwIyPGHR4juzROLdREFhiYOkgJfiRU9Dn/IPSAgh7jJeeDG+8EG+9v7SZrtJZ2KW5wxeyX/DSZHdnkwPmPv/kwbu+Qt5jDaXixMBY04UD8MTQggtkkSnEGXgTACMGAoGB2k3VzMsWAIR18o/ruu9uBdmrgQXi+Py9SHQYzSkaaw3/XGXY5xxPW23vaehD774OiEiIYS4+zxU8Ah6xb6p+JPXfzFgcEJEt8aChQ3BOdw/AGo9AZP63F5CoFo+PL8XDs6C3XPgyYOSEBBCaJskBYS4wzI9ipceLK1r4ndrocfF8o3pRh48WjyMwbOU3gDxNaHzGDjvX75xlSVHEwyCDB0QQoiS6lnq088w0G77FX1aqddRZ0rSX+Qzz09oRCN69j3NL1FQeIurCOgtMPAs/LEELk2DLzZBs6tlG68QQtwtJCkgxB1k1MOoIXC8quPyl/bAI4fLN6ZbMeQsrJkPAaUMZzgVBB3HFo/H1IJlDpYi9FA86GPo54RohBDi7vVowRMOt//oNb2cI3GsiCIWeyzgvoARtAqK5mOvDziH/SSypQm7VrwscOL3sHwh3HMK3EvpPSeEEFolcwoIcYcowDM9YV2I4/Lhp+CTzeUa0m3pfAk2/wb974HLDnrQX/aFLmOK50LolFz+8d0pp1xOctz1mN32HoZe+Cka6g4hhBB3QGdjVyJMTTjhetxm+1633Rxw3U+MqYVT4jrscog5nj8x3/N3rulvbzyetxHuPVE8V0CXS9pfglcIIW5GegoIcYd82Qqmxzgua5kKv6y4+0+45ldh26/FKyM4kukJfUbB8gblG9ed5KiXAMBgGToghBB2dOiYWPC4w7Ly7i2QqbvGj57T6V2lKz2DOvGD97TbSgi0T4bpq+HydzBzFXSVhIAQQgB3/28UISqEJWHwYimz+NfOgSWLwMdUriH9ZQ2yixMDLVMdlxe4wbDh8FNUuYZ1xyx1t08KuClu9DMMcEI0Qghx97u3cAx+FvueVAs9/uCqrmwH3luwsMltA0/6TaRZ1ca85vciB90Sbvn11fPhhb1w5L+w41d47BD4371zJAohhFNIUkCI/1FCdRg3EBQHjxu8jbBsEdTJLfew/ic1CmDD79Aj0XG5WQ8PDoAvItPKN7D/0Vn9GQ67HbTb3s3QgwClSvkHJIQQFYAvvowpHGe3vUhXxBzPn8rkMy/qE/nU+yPaBDXn3irDWOD5B0W6W1sCwAUXhlz0Z+Hi4kkDP98EURllEqYQQmiCJAWE+B8k+xSvNJDnbl+mU+DX5dCiYv1uVvkbYMUCuOdk6fu80PoSr/IqCkr5BfY/WOaxxOH2IUXDyzcQIYSoYCYWPuZw+0yvHzFxZ7rCFVLIAo95jAoYRuugZnzu8wkXXUrJTjsQZmrE2/nvcZGLLNkYxvDT4CaTBgohxE1JUkCIvyjPFYYOh0t+jss/2wRDz5RrSHecpxl+WwaPHyh9n3/wD571fvqONQrL0jIHS2i5Kq70d7DklhBCiD+FmcPpYehltz3J5SJxbiv+8vsqKBx0TeBV3xdoVrUxT/o/wmb3DSi6W0s2eys+jCu4n6XXVrP9WjzPFU2hFrX+cjxCCFEZyeoDQvwFFuD+gRBf03H5YwdhSny5hlRmXBT4bi3UyIcPOjjeZ7bHT6T7pzMtewZeeJVvgLcoUX+BBLf9dts7G7sSqAQ5ISIhhKhYHi14gg3u6+y2/+AxjfsZe1vvlaFLZ77n78zx/IUjroduO5a2xvaMK7yfoUXD8VVKyc4LIYS4JZIUEOIveK0LLAx3XNbrAnyzTlszGuuA97dD9QJ4rqfjfeI8ljMmYCQ/Z8/FXwko1/huhQwdEEKI/01PQx9CzKFccDlvs32z2yaOcITahN7w9WbMbHLbwBzPn4nzWI5Bd3sz/lW31OC+wnGMK7yfRuZSbsJCCCFumwwfEOI2/RgNn7Z1XBaRAfOWancM47P7YfZycDU7Lt/hvo1hVQaSqitl6QInWupg6IBe0TOgaHD5ByOEEBWQCy6lLk/4Dd+U+rrz+nN84v0+rYKiGVNlJEs8F95yQsBVcWVA0WB+zvqNhPRj/D3vPUkICCHEHSZJASFuw4Z68GRvx2VVC2D5Agi8tcmRK6xxx2HpouKVFRw54nqIwYF9OKc/W65x3cglfRLxbnvstncydqGaUs0JEQkhRMU0tnA8Xor9MLGf+IlsstS/55PPPI+5jAwYTNuqMXzh8xnJLpdu+XPCTY15O/cDEtKPMyt7Dv0MA3DD7Y58ByGEELZk+IAQt+ikXyH39AOTi32ZmxkWLoawLPsyLep/Htb/DgNHuZDhYd9t4ILLeQYH9mVu5gKamZuXf4DXWV7K0IHBRcPKORIhhKjYqiiBjCq8j5+9ZtpszyOP2R6/0Jq2zPH8hQUe88jRZ9/We/tYfBlRdA/jCu+nlakNOk0NxBNCiLuXJAWEuAXppDOo51mulTKH3o+roMutPwDRhHYpsDWuMX2H5ZBEkl35FX0aw6sM5OfsuXQ0dnZChH9a6rHYbptO0TGwaIgTohFCiIptYsHjdkkBgL97vY7Zu5TxZTfQwdCJsYUTGFI0HB987kCEQgghbocMHxDiJgwYuId7OO3veFzAmzvg/mPlHNRdIjLbk21sI7yU8Z05+mzuCxjBCvdl5RzZn1L0l9ntutNueztjB4KVYCdEJIQQFVtTczQdDJ3stpt1t54QqGmuxXP5L7AzYx+Ls1Yypmi8JASEEMJJJCkgxA0oKDzv/Syb2OSwfPQJeHd7OQd1l6lPfVbkrKGFsaXD8iJdERP9JzDb86dyjqzYcvelDte7HmKQoQNCCPFXPVrwxG2/xk1xY3DRMOZkzWNfxhHeyHubhuZGZRCdEEKI2yHDB4S4ga+9vuRXj18clrVLhplxklkDqKpUY37mMh4OGM8m9w125Radhef9niFdl87kgr+V6zjRZQ6GDgAMKhpabjEIIURZcXFxzl1osGUItSy1uaxPvum+TcyRTCh6kNGG+6imVC/eWEYtUGfVhxBCVGSSFBCiFEvdF/GB7zsOy+pnw+LF4GUq35juZr74MjtrHs/4Pc4izwUO9/nA922u6q/wTt4H6MshnZKmS2OH2za77a2NbaltqVPmny+EEGXGuyZYzPj7lzLZTTl4lsm8xmsOy/zxZyxjeYRHaO3SGp23DrzLOUAhhBC3RJICQjiw3zWep/0dr8XsVwTLFkJwfjkHVQG44853OTOoqlTjR6/pDvf5znsq6fqr/CvnmzJfXmqlxzIsOovd9iFFw8v0c4UQosx5VgG9CywfDxnOmdhmit7Cit4+bAnOU7f1SPFl4umqjEysgrd5N7C7fIMKHQBdPizfzxRCiApOkgJCXCdJf5H7/cdQqCu0K9Nb4Ldl0OyqEwKrIPTo+Sj3M6pZqvMPH8cNs3mec7mmy+CH7J/wLsNHR45WHQAYLEMHhBBakXEM0vY75aPdgY2/wOpQyHWDlmnQMCsXyAUuOCUmgpo453OFEKICk4FXQpSQq8thQsB9pLmkOiz/10YYcL5cQ6qQdOh4If8VPs35Ep3ieP6AtR6rubfKMK7pMsokhnRdOtvcNtttb2FsST1L/TL5TCGEqGz0QP/zMOoUNMxydjRCCCH+CkkKCPH/zJh5wm8iR10POyx/5ng1JjvnYUyF9VDhI3yfPRM3xfEwgT1uuxhWZcAtTVR1u+I8ljtcHmuwDB0QQgghhBBCJUkBIf7fOz5vsMZjlcOyAQzgy711yzkibRhqGMGcrD/wsfg6LD/ueoxBVfpwxuXUHf3cpR6LHG6XoQNCCCGEEEL8SZICQgAzPX9kmve3DssizVHMZS6upXSDFzfXzdiDhVnLqGqp6rA8yeUig6v0JcF13x35vEzdNTa7bbTb3swYQwNLwzvyGUIIIYQQQmiBJAVEpbfBbR2v+b7osKyapTpzc//AH/9yjkp7Yk0tWZa5mnpmx+P50/XpjAgY7PDH/O2Kc1+BSWe/XuQQw7D/+b2FEEIIIYTQEkkKiErthMtxHvV/0OHYcw/Fg5+yfpVJ6e6gMHM4yzJX08QU6bA8T5/LuIBRLHFf+D99zrJSVh0YUiRJASGEEEIIIUqSpICotK7orjA+4F5y9NkOy7/O+Y7WprblHJX21bLUZnHmStoY2zksN+gMPOb/EP/1/OEvvX82WWx0X2+3PdLUlDBz+F96TyGEEEIIIbRKkgKiUiqkkAcDxpLo4ngd5Vfy3mB40T3lHFXlEagEMS9zMX2K+jksV3QKr/hN4XPvT1BQbuu9V7nHYdAZ7LZLLwEhhBBCCCHsSVJAVDoKCn/ze4q9brsdlo8qvI8p+S+Xc1SVjzfezMyew72FY0rd51Ofj3jd9yUsWG75fZe4OR56MESWIhRCCCGEEMKOJAVEpfO59ycs8PzDYVk7Ywe+zJmKDllpoDy44cbXOd/xRP7Tpe7zo9d0Jvk9ggH7p//XyyGHtW5r7LY3NkUQYW7yP8UqhBBCCCGEFklSQFQqCzzm8ZnPxw7LQsyhzMyagwce5RxV5aZHz3t5H/Fm7rul7rPQcz4TAkaTS+4N32sFKyjSFdltHyxDB4QQQgghhHBIkgKi0tjtuovn/J5yWOZvCWBO1h9UVaqWc1QCQIeOZwue58ucqegVx5elje7rGVVlCOm69FLf5w8c9wCRoQNCCCGEEEI4JkkBUSlc0J/noYCxDp8iuygu/Jj9E+Hmxk6ITJQ0vvABZmT/gofiuLfGPrd4hlTpS5L+ol1ZHnmsYIXd9oamMKLMTe94rEIIIYQQQmiBJAWE5mXrspgQMJqr+qsOy/+R+wXdjD3KOSpRmoGGwfyWtRA/i7/D8tOupxhcpS8nXI7bbF/ntoZ88u32H2IYLnNECCGEEEIIUQpJCghNM2HiUf8HOeF63GH5k/nP8EDhw+UclbiZjsbOLMpcQXVLDYflyS6XGFqlH3td/1xBYon7Iof7ylKEQgghhBBClE6SAkKzFBRe932Jje7rHZb3LxrI23nvl3NU4lY1Mzdn2bXVhJhDHZZf019jVJWhrHdbQwEFrHaLs9unvjmUZqaYMo5UCCGEEEKIikuSAkKzvvf6DzO9fnRYFm1szrfZP+CCSzlHJW5HA0tDlmWupqmpmcPyfF0+EwLu41XfF8jV2a9MMKRomAwdEEIIIYQQ4gYkKSA0aY17HH/3ed1hWbC5Jr9k/4YvvuUclfgrgi01WZS5nA6GTg7LTToTv3r94rBMhg4IIYQQQghxY5IUEJpzxOUwj/tNxKKz2JV5K978kv0btS11nBCZ+KsClCrMzVpA/6JBt/yaOua6tDC1KsOohBBCCCGEqPgkKSA0JVWfwoSA0eTp7buS6xQd32R/T4yphRMiE/8rL7yYkf0z4wruv6X9B8vQASGEEEIIIW5KkgJCM/LJ5wH/MVxySXJY/mbeuwwyDCnnqMSd5IorX+ZO5dn8KTfdd0jR8LIPSAghhBBCiArO1dkBCHEnWLAw2f9J9rvtc1g+ruB+nil4rpyjqjxcXMo3v/hO0XtUpzpveb/msLyWpRbtaYfe1Tl5z/KuDyGEEEIIIf4qSQoITfjE+wOWeixyWNbZ0JVPc7+UruRlwbsmWMz4+3uV+0e/yavUpzYTmYgZs03ZOP04qgb6lXtMQgghhBBCVDSSFBAV3lyP2fzL53OHZWGmRvyY/RPuuJdzVJWEZxXQu8Dy8ZBxrNw//gGgap0QxnU+T7Z78cSSYdnuvLliNRhblns8qtAB0OVD532+EEIIIYQQt0iSAqJC2+62lRf8nnVYFmgJZHb27wQqQeUcVSWUcQzS9jvlowelwdljsCAcvEww6qQBT/Mhp8SiCmri3M8XQgghhBDiFklSQFRYZ11O87D/eIw6o12Zm+LGf7Nn09DcyAmRifJWtRAec3IeQAghhBBCiIpIZsMSFdI1XQbj/UdzTX/NYfk/c76io7FzOUclhBBCCCGEEBWLJAVEhWPAwCP+D3DG9bTD8ufyX2BM0fhyjkoIIYQQQgghKh5JCogKRUHhFd8pbHXf7LB8SNFwXst7q5yjEkIIIYQQQoiKSZICokL5xusrZnv95LCshbElX2d/h14OayGEEEIIIYS4JfLrSVQYK9yX8b7P3x2W1THX5afsuXjjXc5RCSGEEEIIIUTFJUkBUSEccN3PU/6PougUuzIfiy8/Z/1GsKWmEyITQgghhBBCiIpLkgLirpesv8QE//vI1+XblekVPdNyfiTa3MwJkQkhhBBCCCFExSZJAXFXyyWXCf73keqS4rD8vbyP6GsYUM5RCSGEEEIIIYQ2SFJA3LXMmHnC5xEOux10WP5QwSM8VjCpnKMSQgghhBBCCO2QpIC4a73CK6x0X+6wrLuhJx/lfoYOXTlHJYQQQgghhBDaIUkBcVea5f5f/sk/HZZFmJrwQ/YsXHEt56iEEEIIIYQQQlskKSDuOpvdNvKS9/MOy6pZqvFL1u/4KwHlHJUQQgghhBBCaI8kBcRdJUl/kYn+92PSmezKPBQPZmb9SogltPwDE0IIIYQQQggNkv7XwoZer0Ovd944/e+8viZbn+Ww7Ou8/9CRDuV+1Lq4SO5MCCGEEEIIoU2SFBAqvV5HUKAnOr3zDos0HC89+DZv85jvw+UcjRBCCCGEEEJomyQFhEqv1xUnBJaPh4xjTomhW5M0FrWx3Tb2XCBvb10MLHFKTIQOgC4fOuezhRBCCCGEEKIMSVJA2Ms4Bmn7nfLRk6/AWReY3hzMOpi8Hz7eeg2d+ZpT4gEgqInzPlsIIYQQQgghypAkBcRdxUWBrzbAZ5vB3QzOm91ACCGEEEIIIbRPkgLiruRhdnYEQgghhBBCCKF9Mq26EEIIIYQQQghRSUlSQAghhBBCCCGEqKQkKSCEEEIIIYQQQlRSkhQQQgghhBBCCCEqKUkKCCGEEEIIIYQQlZQkBYQQQgghhBBCiEpKkgJCCCGEEEIIIUQlJUkBIYQQQgghhBCikpKkgBBCCCGEEEIIUUlJUkAIIYQQQgghhKikJCkghBBCCCGEEEJUUpIUEEIIIYQQQgghKilJCgghhBBCCCGEEJWUJAWEEEIIIYQQQohKSpICQgghhBBCCCFEJSVJASGEEEIIIYQQopKSpIAQQgghhBBCCFFJSVJACCGEEEIIIYSopCQpIIQQQgghhBBCVFKSFBBCCCGEEEIIISopSQoIIYQQQgghhBCVlCQFhBBCCCGEEEKISkqSAkIIIYQQQgghRCUlSQEhhBBCCCGEEKKSkqSAEEIIIYQQQghRSUlSQAghhBBCCCGEqKQkKSCEEEIIIYQQQlRSkhQQQgghhBBCCCEqKUkKCCGEEEIIIYQQlZQkBYQQQgghhBBCiEpKkgJCCCGEEEIIIUQlJUkBIYQQQgghhBCikpKkgBBCCCGEEEIIUUlJUkAIIYQQQgghhKikJCkghBBCCCGEEEJUUpIUEEIIIYQQQgghKilJCgghhBBCCCGEEJWUJAWEEEIIIYQQQohKSpICQgghhBBCCCFEJSVJASGEEEIIIYQQopKSpIAQQgghhBBCCFFJSVJACCGEEEIIIYSopCQpIIQQQgghhBBCVFKSFBBCCCGEEEIIISopSQoIIYQQQgghhBCVlCQFhBBCCCGEEEKISkqSAkIIIYQQQgghRCUlSQEhhBBCCCGEEKKSkqSAEEIIIYQQQghRSUlSQAghhBBCCCGEqKQkKSCEEEIIIYQQQlRSkhQQQgghhBBCCCEqKUkKCCGEEEIIIYQQlZQkBYQQQgghhBBCiErK1dkB/BUFBQX88MMPLF++nKSkJHx8fIiOjuaBBx6gW7duf+k9k5OT+eabb9iyZQsZGRkEBgbSoUMHnnjiCcLCwu7wNxBCCCGEEEIIIZyvwvUUyM/P58EHH2Tq1KkkJSURHh6Ot7c3W7du5fHHH2fq1Km3/Z5nz55lxIgR/PHHH+Tn5xMREYHBYGDx4sWMGDGCLVu2lME3EUIIIYQQQgghnKvCJQXee+89Dhw4QGRkJGvWrGHhwoVs2LCBf/zjH7i6uvL111+zffv2W34/k8nEk08+SWZmJsOGDWPr1q3Mnz+fLVu2MGHCBIqKipgyZQrXrl0rw28lhBBCCCGEEEKUvwqVFEhMTGTJkiXo9Xo+//xzatWqpZYNHz6cxx57DICvv/76lt9zyZIlXLhwgdq1a/PBBx/g6ekJgLu7O2+++SatW7cmOzubmTNn3tHvIoQQQgghhBBCOFuFSgosXrwYs9lMbGwsjRo1sisfO3YsAPv27SM5OfmW3nPhwoUADB06FHd3d5synU7HfffdB8Dy5cv/l9CFEEIIIYQQQoi7ToVKCiQkJADQqlUrh+XBwcHUqVMHgN27d9/0/SwWCwcPHrzhe7Zs2RKAixcvcvny5dsNWQghhBBCCCGEuGtVqKTAhQsXAKhfv36p+1iTAufPn7/p+6WmplJYWHjD96xVqxYuLi63/J5CCCGEEEIIIURFUaGSAunp6QAEBQWVuk+VKlUAbmliQOv73eg9XVxc8PPzu+X3FEIIIYQQQgghKgpXZwdwO6xP9a8f+1+Sh4eHzb638n4lX3ej9ywoKLilOB3R63UEBfn85deXB53u//9wTxyYDU6N5a7i6l38X6kXe1I3jkm9lE7qxjGpl9JJ3Tgm9eKY1EvppG4ck3opndSNYy7Fv0UDArxQFCfHchN6ve7mO1HBkgIuLi5YLJZb2lenu3kF6PW311HiVt7zRq91cfnrry9X3jWcHcHdSeqldFI3jkm9lE7qxjGpl9JJ3Tgm9eKY1EvppG4ck3opndSNQ7f7W/JuVqG+ibd3cbbKYCg9U1VUVASgLi14K+9X8nX/63sKIYQQQgghhBAVRYVKCgQGBgI3HttvLatateotvx9AZmamw31MJhM5OTm3/J5CCCGEEEIIIURFUaGSAg0bNgTg0qVLpe5jLQsNDb3p+wUHB6uTCJb2npcvX8ZsNt/yewohhBBCCCGEEBVFhUoKxMTEAJCQkOCwPCUlheTkZABatGhxS+/ZvHlzAPbv3++w3Lq9Tp06BAcH3064QgghhBBCCCHEXa1CJQX69+8PwO7duzl79qxd+a+//gpA27ZtqVu37i2954ABAwBYsGCBw7kK5s6dC8CIESP+UsxCCCGEEEIIIcTdqkIlBUJDQxk8eDBms5nJkydz4cIFtWzx4sX88MMPAEyaNMnutYmJiZw5c4a0tDSb7UOHDqV+/fpcvHiRF198kdzcXKB4MsMPPviA+Ph4/Pz8mDBhQhl+MyGEEEIIIYQQovzpFOVuX13R1rVr13jggQc4efIkLi4uNG7cmOzsbHVOgOeff54nn3zS7nU9e/bk0qVLjBgxgk8++cSm7ODBg0ycOJGcnBy8vb1p2LAhSUlJZGZm4ubmxg8//ED79u3L5fsJIYQQQgghhBDlpUL1FIDiFQN+++03nnnmGUJDQzlz5gzXrl2jbdu2fP311w4TAjfTvHlzFi9ezKhRo/D39+fEiRPodDr69evHvHnzJCEghBBCCCGEEEKTKlxPASGEEEIIIYQQQtwZFa6ngBBCCCGEEEIIIe4MSQoIIYQQQgghhBCVlCQFhBBCCCGEEEKISkqSAkIIIYQQQgghRCUlSQEhhBBCCCGEEKKSkqSAEEIIIYQQQghRSUlSQAhxR8jqpjcndeSY1Iu4VXKs3JzUkbhVcqw4JvVyc1JHjlXkepGkgBDijtDpdBiNRmeHcVfT6XQUFhY6O4y7jk6nc3YId42K3KAoD3Ks3JzUkbhVOp0Os9mM2Wx2dih3FWnP3Jy0ZxyryNdfV2cHIERFlJiYSI0aNfD09HR2KHeF8+fPs3TpUrKzs/H29qZly5a0adMGb29vZ4fmVBaLBb1ej9lsZuvWrWzcuBF3d3cCAgJo3rw5zZo1IyAgwNlhljtFUdQb55kzZ9ixYwfBwcH4+/tTt25dqlevjru7u5OjdA6z2cyOHTsICAjA3d2doKAgqlWrhl4vOfyrV68SFxeHyWTC3d2dyMhIoqKi8PDwcHZoTlXyfNq3bx9bt24lICCAgIAAwsPDCQ0NxcfHx8lRlr+S9ZKamkp8fDx16tQhKCiIoKAgvL29K3QD/q+w3pMMBgM7duxg/vz51KhRg2rVqhEREUFERAS1a9d2dphOJe0Zx6Q945iW2jOSFBDiJqwXwszMTJYtW8a8efPw8fHB09OTFi1a0LVrV2JiYpwdZrkzm824uLgQFxfH9OnTOXr0qFrm4+NDeHg4HTt2pFu3bpWyfuDPjPG///1vFi5cyJUrVwBwd3dXG2GtWrWiTZs2REZGVpgbx53yyy+/8Ouvv3LmzBkAatasSXR0NK1btyY6OpqQkBCqVq2q+R/E1nMpPj6e2bNns2LFCgDCwsJo1qwZLVu2JCoqirp161KlShXnBlvOrHWzfv16ZsyYwd69ewHw9fWlRo0aREZG0qZNG1q1akV4eLiTo3Wu7777jnnz5nHp0iUAAgICaNCgAdHR0cTGxhIVFUX9+vVxda1cTb/Fixfz008/ceTIEQBCQkLo2LEjHTt2JDIykurVq1e6xNK3337LH3/8wdWrVwFwcXEhODiYqKgomjdvTkxMDOHh4QQFBTk50vIh7Zmbk/bMjWmhPaNTpK+iEDdkTQq8++67LFmyhLy8PJvyoKAgmjZtSpcuXejcuTMNGzZ0UqTOcc8993DkyBGioqIICgrCaDRy7tw50tLSgMpbP9bs8eXLl+nVqxcWi4WuXbui0+lIS0vj0qVL5OTk4OHhQZ06dYiKilJ/3ISFhTk7/DJjrZeUlBQGDRpEXl4e4eHhpKenk5GRoe4XEhJCy5YtbX4Qa/0pxAMPPMDu3bsJCAggLy8Pk8kEFDfYIyIi1PqIiIigZs2alerp7+jRozl48CAhISF4eHhQVFREWloaBQUF+Pr6Ur9+fZo3b07btm2JjY2tNE87S55P/fr1o6ioiBYtWpCXl0dqaipZWVkAVKtWjcaNG9O8eXNiY2Np0qQJNWvWdHL0ZcdaL6mpqQwdOpSsrCxq1apFTk4Oubm56n7We1O7du1o1KgRVapUwc3NzYmRlx1rnaSnp9OtWzdMJhP9+/cH4PTp0yQlJVFYWIi7uzv169cnOjqamJgYmjVrRmhoKL6+vk7+BmVP2jOOSXvGMa21ZyQpIMQNlLyJdurUCb1ez6RJk/Dy8iIlJYVjx45x+vRpteFVp04dYmNj6dGjB23atCE4ONjJ36BsWBMlR44c4Z577qFVq1bMnDkTvV5PYmIiJ06c4MCBAxw8eNCmfkJCQggJCeHpp5/WfLbd+uRh+vTpfPHFF0ycOJGXX34ZKO5ilpCQwJ49ezhy5AhJSUkUFBTg5+dHWFgY9erV48UXX9Tk8WOtl2nTpvHll19yzz338OyzzxIcHMzu3btZtWoVGzZsIDk5GQBXV1ciIiJo27YtERER9OnTR1M/hq3n0uHDhxk1ahRhYWG89tprxMbGsmPHDuLi4ti6dat6Dnl7e9O0aVPatWtHREQErVu3JjAw0MnfomxcXzcxMTF8++23+Pv7c/z4cfbt20d8fDzHjh0jJSUFk8lEYGAgERERNGjQgLFjx2q+98D159P48eN55ZVXcHd359ChQ2zbto1t27Zx4sQJsrOz0ev11K5dm+joaBo2bMj999+vyePn+noZNGgQDz/8MA0bNmT37t0sWLCA1atXq/u7ubnRpk0bunXrRnR0NM2bN9dccsBaJ7NmzeLjjz/mgQce4PXXXwfg2rVr7Nmzh02bNrF3716SkpIwm834+PjQuHFj6tWrx3PPPUedOnWc/C3uPGnP3Jy0ZxzTWntGkgJC3ID1hJ89ezbvv/8+TzzxBM8//zwABQUFXLhwgSNHjpCQkMDhw4c5f/48BQUFeHl54eXlxfTp04mOjnbyt7jzrMkSa728++673HfffTb7FBYWcv78eZv6SUxMJC8vj99//53mzZvbjMXSqilTprB69WoWLVpEo0aNbL6z0Wjk+PHjxMfHs3fvXk6cOMHFixfx9vZm3759To68bD3yyCPs27eP+fPn2z1tKSoqYvPmzaxYsYJt27aRnZ0NFD/t3Lp1qzPCLTPWBunUqVOZOnUq77//Pvfee6/NPhkZGaxbt46VK1eyZ88edQIsFxcXli1bRoMGDZwRepmzniszZszg008/dVg3ubm5HDlyhD179rBv3z5OnTpFZmYmRqORhQsXEhkZ6aToy9dTTz3Ftm3bWLBggd2TOYPBQHx8PJs2bWLXrl2cO3eOwsJCAgIC2LVrl5MiLh8PPPAAR44cYd68eXbXmYKCAlauXMkff/xhc72tVasWGzZsKO9Qy83rr7/O4sWL+e2334iOjsZgMNh09U5KSmL79u1s2rSJw4cPk5qail6v59ChQ7i4uDgx8rIh7ZlbJ+0Zx7TSnqlcA8uEuE3WG6C161ivXr2A4oufl5cXTZo0oUmTJvTu3ZvTp09z6NAhDh48yIEDB7h69SpNmjRxWuxlyXoTsGZ+rU/jTCYTLi4u6HQ6PD091frp06cPp0+fZv/+/Vy6dInmzZvbvI+W1a1bF29vb0JDQ4Hi72zNxbq5udGsWTOaNWvGqFGjOHz4MBs3bqRGjRpAcX1qcfyvyWSiatWqBAQE2NxAzWYzOp0ODw8P+vTpQ58+fbh69Srr16/n119/pVmzZurrtVIv1vGF1u/ToUMHAHU2cJ1OR1BQEPfeey/33nsv586dY/Xq1SxevJjc3FzNJgTgz+uD9Um2NcFqNpvVevP19aVdu3a0a9eOK1eucODAAbZt20ZaWlqlSQgoiqIOJymZELBYLEDxmN8OHTrQoUMHrl27xu7du1m6dKl67mnpfCrJYDDg6+tLYGAgDRs2VH/AWM8tLy8vRo4cyciRI0lJSWHJkiX88MMPmrzOlBQWFoZer6dRo0ZA8fGhKAoWiwUXFxfq1q3L6NGjGT16NMePHycuLg4PDw9cXFzUByVaIu2ZWyftGXuaas8oQohSWSwWRVEUZfny5UrTpk2VxMREh+UlpaamKmvXrlVWrVqlKIqimEymsg+0nFm/96VLl5R27dop33zzjbq95Pd1VD+5ubmllmnR6tWrlaZNmypr1qxRFKX4eChZR2az2a4uDAaDoijarqOZM2cqTZs2VS5cuKAoSvF3NZvNarnJZLL7/oWFhYqiKDb7acW2bduUiIgIZffu3Yqi2B4X159XVsnJyYqiaPMaU9KpU6eUqKgoZe7cuYqiFH/fkseAo+Ph2rVrpZZp0fz585UmTZooCQkJiqIUf+/r6+j686moqEhRFG1fZ7766iulVatWSkZGhqIoxd+15Pc1Go12x0h+fr6iKNo9dvbs2aNERUUpS5cuVbddf70p7btr8ViR9sytk/aMY1ppz9y9UyAKcRewZn4jIiLw8fFh9uzZ6tMXk8lks6a49c81atSgV69e9O3bF0BzWXUorheTyYTBYCAsLEztfqnT6dTvW1r9WMdPVYasen5+PtWrVycwMJBff/2V5ORkXFxc1Doq+TQY/nyyZx3LquU6ateuHdWqVWPmzJkUFhai0+nUp7/WLvXWpxDWerLOEH43z957u6znRVRUFG3btmXOnDkA6ve37lOybqz1UatWLUCb15iSAgICaN26NXPnziUlJQUXFxe1Pkqur678/9NOQF2lQUvHSmnMZjNRUVEEBwfz008/kZWVhV6vtzlmALvzydplXMvXmc6dO+Pt7c3PP/+sPrkreV5ZjyVFUdSJPb28vABtHjsGg4GioiLq1q3LtGnTSEhIAGyvNxaLxebP1uMHtHmsSHvm1kh7pnRaac/InAJC3ERycjLbtm3jP//5D0ajkeeff56RI0fa7FOym5n1lNLyBdBgMDBjxgymTp0K/Nn9qW/fvowePZr27dvb7F+yfrTO2r3y7NmzTJ8+nUWLFqllOp2OIUOGMGjQIDp37mzzY87aYL2bbhB3kvXGmJyczIIFC/j222/VRkPbtm3p06cPbdq0oXHjxjZ1YG2gavXYMZlM7Nixg48++ojk5GSKiopo164dQ4cOpU2bNtSvX99mf2s9VgZGo5E//viDTz/9FJPJpA7buueeexgyZIjd5F7WYQVaPVZKsh4HiYmJ/Pzzz/z8889qWZ06dRgwYAA9evSgRYsWlep8stbLlStXiIuLY9q0aVy9ehVXV1eGDh1Kt27d1Nm/S9aBouHx4NY6OXv2LNOmTWPx4sXo9XosFgseHh506dKF7t2706lTJzXRCNgMKdAyac+UTtozjmm1PSNJASEcsF4Ijx8/zkcffcTu3bttfvAHBQUxbNgwRo4caTO7tTWrfteMD7rDrDfLpUuX8tJLL6HT6ahZsybu7u5cuHBB3a9q1aoMGzaMESNGaH727+tZj5033niD+fPn4+rqSt26dXF1deX06dPqfiEhIfTq1YsBAwaoY8u0zFovH3zwAb/88gtQnCH39PQkPz8fb29vQkJCiI6Opk2bNrRo0YJ69eo5OeqyY62PNWvW8NZbb5GZmQmgLrdnHZ8YExND27ZtiYmJoWrVqs4NupxYrzMrVqzg5ZdfxmQy4ePjg5+fHykpKep+0dHR9OvXj759+xISEuLEiMuf9fh5++23+e2334DiHhXWlXGguLdEVFSUunxaZbgWW+vlH//4B7NmzbJ7yl2zZk2aNGlCTEwMMTExhIeHU61aNSdGXPasdfL+++8ze/ZsfH198ff3x8/Pj6SkJPLy8nBxcaF+/fq0bt2abt260a5dO/z8/JwdepmS9szNSXvGMa22ZyQpIIQD1hP+rbfeYt68eYSEhBAWFoaXlxf79u3j8uXL6r7h4eHcc889DB48WPONC+vTlPHjxxMfH8/777+vzrp75swZdu7cybZt29TlV6C4fkaOHMmQIUM0Xz9WeXl5dOjQAQ8PD2bNmoWHhwcZGRmcOnWK+Ph4EhISuHTpkrp/ixYt6Nq1KyNHjtTksj1WeXl5tGvXDhcXFz766CP8/f05ceIEhw8f5tixY1y+fBmj0UhAQABhYWG0aNGC2NhY2rZti7+/v7PDv6OuP5cmTJhAo0aNSEpK4sSJE5w6dYorV64AxY3S8PBwWrVqRZs2bYiKirqrljG6066vm1dffZXIyEjy8/M5deoU+/bt4+DBg+o60O7u7rRr147+/fvTs2dPTS6x50heXh7t27fH1dWVb7/9Fi8vL5KSkjh27BgHDx5UV2KA4qEmLVu2pF27dvTu3ZugoCDnBl+GrNdfi8WiLqO3f/9+EhISOH36NAUFBbi6ulK/fn2ioqJo2bKlOomct7e3s8MvEwaDQb32/vzzz1SrVo0LFy5w4sQJEhISOHLkCBcvXlR74zRu3JiYmBiGDRtG06ZNnR1+mZD2zK2R9oxjWmzPSFJAiFIYDAY6deqEm5sbixcvJiAggNzcXNLS0jhw4ABbt25l586d5OTkqK+JiYnhqaeeolu3bk6MvGxdvXqVgQMHEhYWxq+//qpuVxSFvLw8Ll26REJCgl39dOzYkRkzZjgr7HJhbWRs2rSJJ554goceeohXX31VLTebzVy9epVz585x8OBB4uPjOXjwINeuXQNwuOSaFli72q1atYrnnnvOrl4KCgrUZeXi4+M5deqU2uXXbDbzzTffaOqcsh4nqamp9OjRg2bNmjF79my1h1FGRgaHDh1i9+7dJCQkcPbsWTIzM/H09MTd3Z1HHnmExx9/3MnfomxduXKFvn370qRJE5vrTFFREWlpaZw+fZqEhATi4+M5cuQIBQUFAAwePJjPP//cWWGXC+v5tHbtWp555hm788lgMHD+/HmOHj3K/v37OXz4MGfPnlXr6IsvvmDgwIHOCr/MWOtlxYoVTJkyhQcffJDXXntNLc/NzWXXrl1s2rSJvXv3kpiYiMlkIiAgAB8fHz799FNat27txG9w51mvNTt37uShhx5i7NixvP322zb7pKenc/LkSQ4ePEhCQgInTpzgypUrGI1G/v73vzNu3DjNDq+Q9kzppD3jmJbbM9rs4yzEHXD8+HEKCgro168f1atXB4qHDQQFBREeHk6fPn24cOECe/bsYevWrSQkJHDgwAESEhLo1q2bZsf+ms1m/P39qV27NlC8fq+npyc6nQ5fX18iIiJo1KgRffv25fz588THx7N48WImTJgA3GXLr9xh1kaTdQIZa1dDax25uLgQHBxMcHAwLVq0oH///urSRnv27GHAgAGA9sa3Ws+D/Px8ALXhXVhYiIeHB15eXrRu3ZrWrVuTkZHBgQMH2L17N/v37+fs2bO0atXKabGXBeu/7cWLF3FxcaFFixa4urpSUFCAl5cXQUFBdOvWjW7dupGUlERCQgK7d+/m6NGjHD58WF1KTKvXGICcnBw8PT3Vpa+s55CHhwf16tWjXr16tGnThsGDB6tPO1evXq3+2NXi0mlW108gaF0SzXo+ubu707hxYxo3bkyvXr04e/Yshw4dUhMEXbt2BbR7nbH2IOnYsSPwZ734+vrSq1cvevXqRUpKCtu3b2fz5s3s37+f5ORkTS4hbP339fLyQqfT2ZxP7u7u6PV6qlatqi5ZmZSUxPHjx9WEm/WepFXSnimdtGcc03J7RptHshB3QHBwMN7e3uq4OusJb52R1pogaNq0KcOGDePkyZNs27aNhx9+GNDuRIPVqlUjMjKSpKQkFEXB09MTsJ1AxcXFhcDAQAIDA2natClDhw5V16rV6g205I2vXbt2NG/eXB1zZ60jRVHUmeQ9PDyoX78+9evXp02bNowZMwZfX1/N3UBL6tatG0FBQerTFmu9wJ8/cIOCgujRowc9evTgwoULXL58GV9fX03+AG7dujUhISHq7MzWWc9LHid169albt26DBo0iBMnTnDw4EF69uwJ3F2zFt9pDRs2pGXLlmRnZwO25xCgNtrDw8MJDw+nU6dODB8+nOjoaEC7KzKUvD50796dkJAQtXuzo+uMn5+fOn6+b9++pKena/Z8surWrRuffvqp+nfrfRv+TBbVrFmTkSNHMnLkSI4fP05iYiK+vr6aSiZZjxWLxUJkZCSxsbGcOXMGsL32ljynrNebrl27kpaWRmBgoKbvSdKecUzaMzenxfaMDB8QogTrBcxgMJCUlMS//vUv0tPTmTlzptpwh9JnEDUYDOoyT1pibSgdOHCAd999lxo1arBx40YeffRRxo8fbzNjMdz9M6yWBaPRiJubG59//jmrVq3C3d2d8+fP88Ybb9C3b1+78YeVYZUK+PNJyuzZs9mzZw/79u3Dy8uLL7/8kqioKMB2puKSDQ0tsp5Lp0+fZv78+ezevZvk5GT+/e9/07ZtW3WfkksYabk+Sip5nfnyyy/x9PRk06ZNvPLKKwwbNsxuroDKeJ2xnk//+c9/2Lx5M2lpaeTm5vLxxx/TsWNHm4YpUGmOn5KTxh04cIDly5cTEhLCt99+q86fcP11Rusz61vrZOrUqfz888/4+/uTnJzMK6+8wpAhQxzOvVEZzilpz9yctGcc03p7RpICQpRgvVn861//4rvvvqNevXpcvHiRXr168fDDDxMZGWk3wdfdmvErC//4xz/473//q/7dx8eHnj170qVLF6Kjo6lVq5b6tNOqMtUPQL9+/WxmLq5Xrx69e/emS5cuNG7cmICAAJsEE2ive50jffr04eLFi+pSWC1btmTs2LEMGDDA5mnL9T+ItVYv1u/0+uuvs2DBAgICAsjKyqJ9+/ZMmDCB3r172+xb8odLZTmXXnvtNRYuXAgUNzLr1KnDoEGD6NKlC40aNcLPz8/ux1xlqRurvn37kpiYqP69SZMmDB06lF69epW6EoMWz6fr9e7dm6SkJHUVj86dO/Pwww/TqVMnm/1KXme0fuw89thjbNmyRf17YGAgPXv2ZNCgQcTGxmp2csWbkfbMzUl7xjGttmckKSCEA++88w5z585V/+7u7k5UVBQdO3akZcuWNGzYkBo1atic/BXhhP9f5ebmsnbtWuLi4oiPj1e7TQUEBBAdHU3Lli1p3rw5YWFhdvVTWZjNZlavXs3cuXPZtWuXut3Hx4c2bdrQuXNnYmNjqVevHn5+fpWigWEymdi2bRu7du1i27ZtnDhxQi0LCAhg8ODBjBgxQu36Ddp/OrNu3TpWr17N3r17bWZurlevHiNGjGDIkCE2Sxhpfd3nkrKysli8eDELFizg+PHj6vbq1avTsWNHOnToQLNmzQgODsbHx0ezx8iNnDt3jk2bNrFy5UoOHDigbvfz86N79+7069ePli1banqVgesVFhbyxx9/kJCQwKFDh2x+zISHh9OvXz8GDBhAWFiYul3r1xkoHvuckJBAXFwc69atIz09XS2LjIykb9++9OjRg7CwMLsfeFom7Zmbk/aMPS23ZyQpIEQpLl26RFxcHKtXr+bw4cOYzWageGmn5s2b07JlS5o2bUqDBg0ICgq660/2O+3SpUusWrWK1atXk5CQoG6vWbMmMTExtGnThrCwMGJiYirNk4jrE0MZGRksXbqU+fPnc/LkSXV7cHAwHTp0oFOnTkRERBAeHl4pjh/rzPHHjh1j27ZtbNu2jaSkJLU8JCSEESNGMHToUHXiJy3Lz88nOTmZgwcPqrNbWydJg+LVTO655x4GDBig+TXDS3P+/HkWLlzIokWLSE1NVbc3bNiQjh070rFjR8LCwqhbt66mu4KXxmg0cvz4cdatW8eqVas4d+6cWlanTh369OlD7969HfZy0yKLxUJ6ejrnz5/nyJEj7Nu3j/3796vLe+p0Olq3bs2AAQMcdoPWuoyMDHbu3ElcXBwbN27EYDCoZR07dmTAgAG0bdu21N4mWiXtGXvSnrkxLbZnJCkgxHUcjY06cuQIcXFxrF271qbR1ahRI3WN4+HDh2v+ZlGyK1RJhw4dYtWqVaxbt06tH51OR61atZg/f36lWTccSs8InzlzRv1xc/XqVXV7ZVja6HoWi4X8/HwuX76sLu+5Y8cOsrKy1H369u3LV1995cQoy4/BYCA3N5ekpCT27dvHli1b2L17N0ajUd2nU6dOfPPNN3ZjxrXIbDajKIrdk7m9e/cyf/58VqxYQVFRkbq9SZMm/Pzzz5U2cWKVn5/Pvn37WL16NWvXrrVJMHXv3p3vvvvOidGVvet/xBgMBlJTUzl79iwHDhwgPj6ew4cPk5eXBxRP1Hnvvffy7rvvOivkMnejHowXL15k8+bNrFy5kr1796rb69evz+rVq8srRKeR9szNSXvm5rTUnpGkgBC3QVEUtm3bxvLly9myZYt6Maxduzbr1693cnTlIy0tjaCgILKzszGbzepyjfBn/cTFxbFs2TJq167NihUrND+04vrvd+nSJXx9fXFxccFoNOLv72/zFHPPnj0sWLCAhQsXMm7cOP7+979rcmmj6+vF2tumZF0YjUZycnJISkpi7969bN++na1btzJhwgTefPNNTdZLSdfXUVFREZmZmZw9e5bdu3ezfft2Dhw4QFBQENu3b9f8uWSVl5enPtku+WcoboStXbuW+fPns2nTJgIDA9mxY0elqRurnJwcdRWG6129epVdu3apTz/Hjx/PW2+9pcnz6Vb+3XNzc0lJSeHkyZPs37+fAwcOcPDgQR5++GFeeeUVTa06AH/Widlsxmw2k5KSgo+PD1WrVrXb12g0curUKTZs2MDs2bPp37+/Zu9J15P2jD1pzzhWGdozkhQQ4jq5ubmkpqZy6tQpwsPDbcYflpSTk8OmTZuYPXs2bdu25fnnn7/rT/jbVfIiePDgQRYtWsShQ4c4deoU0dHR1KtXj/DwcNq2bUt4eLi6ni0UjwvOzMwkJCREc/VSmmXLlrF69WpOnz5NYmIikZGRNGvWjJiYGNq3b09wcLDN/iaTCaPRiJeXl2YnMDIYDPzxxx9s3bqVunXrEhYWRkREBPXq1bNroBoMBq5du8bJkyeJiYnB399fk/WSnZ3N7t27OXv2LCdOnCAgIICuXbsSExOjPoVSFIWioiLS09PZv38/tWrVolWrVpo/l86cOUNcXBzHjx/nyJEjNG7cmKioKCIiImjevLndzOAZGRlkZGTQqFEjzdeN1Y4dO1i5ciVJSUmcPHmShg0b0qFDB9q0aaOumV3SuXPnqF69+l29FNb/SlEU1q1bx8aNG6lfvz5RUVE0bNiQoKAgu941165dIykpiUOHDtG/f3+CgoI0VS/W+3ZaWho//PADcXFx1K5dm5CQEJo2bUrTpk1p3Lixw541ubm5uLi4aPKeJO2Z2yPtGXtab89IUkAI/pxR9vTp03z55Zds3LiRgIAAPD09iY6OpkuXLnTp0oWaNWs6fL31JqG1DLL1+yxbtozvvvuO06dPq7M6W3l6ehIbG8v48ePp06cPgOaeutyMwWDgxx9/5JtvvsFkMqkzylu5ubnRsWNHJk6cSLt27TCZTCiKovlJnQwGA19++SU//fSTTVY9LCyMFi1a0LJlSyIiIqhduzb+/v7q67R2HpV04sQJPvroI5tJm6yqVq3KyJEjGTt2rM0YRC3XB/z5/TZt2sS///1vjh49arePn58fnTt35sEHHyQ2NhaLxYKiKJXqOmM0Gvn999/55JNPMBqN6szXVu7u7vTp04eJEyfStGnTu74BeqcYDAZ++OEHvv32W0wmE1C8fnzz5s3p3Lkzbdu2JTQ0FH9/f5slg7V8nzKZTLz++ussW7bM5hjx8fFRkwMxMTFER0cTGhpaKYYlSXvm1kh7xrHK0J6RpIAQ/89oNDJp0iR27NiB2WymWrVq5OXlUVhYiIeHB8HBwbRp04Zu3brRrl079aSvSCf87bA2KFNSUhg1ahTp6ekMHz6cnj17EhYWRkJCAjt37mTHjh3qJE5PPfUUzzzzTKVoiMKfjYUVK1YwZcoUatWqxciRI2ndujV169a1mfEZwMPDg6+++opu3bo5OfKyZU2SxcXF8fzzz+Pn50enTp0oKChg9+7d5OfnA+Dl5UV0dDQxMTFEREQQGhpK1apVqV27tqbOq5JP7p588kmOHj1KeHg4jRs3JjQ0lKtXr7J161Z1FYLmzZvz0Ucf0ahRIydHXvas15nU1FTGjh1LcnIyPXv2pH379kRERHD06FHWr1/Pnj171Nd89NFHjBw50olRly/rdWb16tVMmTIFX19fBg4cSHR0NHXq1OHUqVMsXbpUXYUgJCSEr776ioiICCdHXrZK1suLL76ITqejVatWGAwGmzHy/v7+tGvXjnbt2hEZGUmNGjXw8vKiWrVqmrrOwJ91snbtWp555hlq167Nfffdh5+fH2vWrGHHjh3qvlWrViUsLEx92lmlShV69uxpkzjRCmnP3Jy0ZxyrVO0ZRYhKzmQyKYqiKHFxcUpERIQybNgwZe3atcquXbuUzz77TImIiFA6dOigNG3aVImIiFBat26tDBo0SHnttdeUqVOnKhcvXnTyNygbRqNRURRF+eabb5SIiAjlk08+cbjfuXPnlPfff1+JjY1VOnTooOzevVtRFEWxWCzlFquzWL/juHHjlIiICGXdunUO97t48aLyxhtvKE2aNFEGDBigJCYmlmeY5c5aL2PHjlUiIiKUhQsXqmUff/yx0rRpU2XEiBFKRESE+v+2bdsq/fr1U9q0aaMUFBQ4KfKyYT2XvvvuOyUiIkJ58cUXlZSUFEVRFKWoqEgxm81Kenq6snDhQmXMmDFKRESEct999ynp6enODLtcWOvm22+/VSIiIpT333/f4X7Hjx9XXn75ZaVZs2ZK9+7dlWPHjpVnmE5lPZ/Gjx+vREREKHFxcQ73S0hIUCZNmqREREQoo0aN0vzxc329zJ07V8nOzlYURVHee+89JTo6WunevbvNdaZTp07KuHHjlKFDhyqFhYXODL9MmM1mRVEU5f7777c7VmbNmqVef6zX5oiICKVJkyZKdHS0EhERoWRkZDgr9DIl7Zmbk/aMY5WpPVM50l9C3IA1ezd79mwAnnvuOXr16mWzLM+wYcN48sknCQ0NJScnhzNnzrBgwQK+/vprzS7zZB0zt3nzZnx8fLj33nuB4myyxWJRu0+Fhoby5ptvMmbMGDIyMpg7dy5AxciK/o90Oh1Xrlzh8OHDxMbG0rNnT7VMURR1FvW6desyefJk2rdvz9mzZ9m8ebMToy5byv9nxC9dusS+ffuIjY1l+PDh6qoeiYmJVKtWjW+++YZ169YxaNAg9Ho9BoOBK1eu0K5dOzw9PdXjSwus59LSpUsJCAhg0qRJBAcHYzabcXd3R6/XExQUxKBBg3j22WcJDQ0lISFBfSKjZda6WbNmDX5+fowbNw74cwUC63EQERHBG2+8Qe/evbl8+TILFy50WszlzdrLJCEhgZYtW9KvXz/gz5VyrHUVExPD5MmTiYqK4tChQzZPhbWm5HVm7969NG/eXH0iDsXXmdq1a/P7778zf/58OnXqhF6vJzMzk/j4eOrWrYuHh4emrjOKoqDX67l69Sp79uwhJiaGXr16qeWnTp3C3d2dp556ijlz5vDuu+8SEBCAj48PkZGR3HvvvQQGBmqqTqykPXNz0p6xV9naM5IUEJWa9Saanp7Ovn37iImJoUuXLmr56dOnARg4cCDPPPMM77zzDnXq1MHHx4f+/fvz2GOPafYmCsVjqGrUqIGHhwcNGzYEisdQ6fV6dYyd9buPGTOGatWqcfHiRZvxZ1pnNBoJDAykSpUqAOq6zzqdDhcXF7UxERwczAMPPADA2bNnbcZ5aon1ZrllyxYAunbtChTXR0ZGBunp6RiNRmrVqkWdOnV47rnn1B/I77//vro8mNYaYWlpaRQVFVGtWjUaNmyIxWKxG6fq5uZGhw4dePrppwHUH3WKxkf55ebm4uvri7e3Nw0bNlTnCrCeQ1Dc/dff35+HHnoIb29vjh49arPGutZlZWXh5eVFjRo1gOLrjPUcKXmdiYyMZOzYsQA2a4lrjfX6uXHjRgCbH7/W60xBQQHVq1enadOmTJo0CT8/P7y8vHjrrbd47bXXnBF2mbJeJ3bv3o2iKLRs2VL9MWydQNnFxYU6deoAMHr0aGJiYsjNzeXZZ5/lvffeA7R37bWS9szNSXvGVmVrz0hSQAjgwIEDmEwmmjZtanMTvXz5Mu7u7uoKBO3bt6dnz57k5ubywAMP8MILLwBobsyZ9UJYVFREo0aNyMjIKPWpk4uLC4qiEBISgq+vL5cvX6agoKA8w3Uqf39/YmJiOHToEBkZGQ7HY1obGtbj6OLFi5o7Zqys3ysxMRGA2NhYtezSpUukpKTQokULoLhe6tevT69evfDw8CAmJoagoCCb99ECi8VCjRo16NixIwUFBWRmZjr8foqiYLFY6NWrFwEBAVy+fJlr165VmAbF7bJeZ3x8fIiNjSU1NZWjR486/L56vR5FUWjevDmBgYGkpqaSmZlZzhE7T3h4OB06dODUqVMUFhbe8DrTsmVLAHWNdS2y/og7e/YsAK1atVLLLl68SFpams21p3Xr1nTp0gVPT0+GDBlC3bp1bd5HC6zXlPT0dAD1OwKkpKSQlJRE8+bNcXd3x2QyodPp6Nevn7p0ofW809K1F6Q9czukPWOrsrVnKkaUQpQR602wqKgIV1dXmyV6rly5QmJiIs2aNcPV1VW9EFq7VB07dszufbTC+n3+9re/cfnyZXx8fJg1axapqal2+1qfWJ0+fZq0tDSqVq1a6ioNWmE9Fg4cOMD48eMxGo2kp6fz1VdfqZMUlWSdEds6WZr1ZqrVHiYA9erVA2Dnzp3qtqtXr5KRkUHz5s1RFEVtrLm7u5OTk2NzTmmJXq9n6tSpuLi4cOXKFebMmaMmAKwzN0Px8aDX60lOTlbXoLcuUahF1uvMiy++SG5uLt7e3vz3v/91+GSu5HUmPT0df39/9am5VpW8ztx///2YTCbOnDnD9OnTyc3NBWx7kVj3T0hIAP48B7V8nbGu0nHixAl125UrV8jMzFQb8NannVWqVOHKlStq/WhVeHg4AKtWrVK3ZWVlkZKSQnR0NAaDQf2Rkp2djaIoJCcnA9rslSTtmRuT9szNVZb2jPYX2hTiFljXuP7999/p3bs3zZo1o6ioiOTkZAYPHozFYlGXW7E+fSksLAS0u/rAjh072LZtm/r3jRs38s477zBmzBiaNWuGv78/rq6uaiZ59uzZ5OfnM3DgQABNr+VrfboUFxfHiRMn1Abp4sWL8fLyYtiwYTRs2BBXV1f0ej0eHh5kZmYya9YsALWOtHjcWIWEhKDT6ZgxYwYREREMGjSIa9euYTQa8fPzQ6fTqQ1Ta/2FhoYC2jmnrN9j5cqVTJ06VV1CbtGiRTRs2JD+/furdWCxWNTzxbqMmHUok5bPpQ0bNrB8+XL179Z5F0aPHk1YWJh6rlmvM/PmzaOwsJDevXsD2q4b63efO3eu2gDX6XTMnz+fKlWqMHz4cJulr9zd3SkqKuLXX38FoH///uprtMr6NHzq1KnUrVuXbt26cfXqVUwmk9oF2nrvPnPmDHq9Xu0+r5XrzPVCQkIICwtj9+7dfPzxx7z22mvk5eWRn5+PTqfD3d3dLoHUtGlTQLt1Iu2Z0kl75uYqS3tGm0e4ELdBURTq1KlD3759Wb16NXPnzqVZs2bk5+eTnZ1NQUEBnp6e6k1h9+7dwJ/dFSvSCX8rrEv3REVF8cEHH7Br1y4OHTpEamoqGzZs4MiRI7Rt25bo6Gg8PT1xdXVl6dKl7Nq1ixEjRjB69GhA2zcI67/5008/TUREBHFxccTHx5OTk8N///tfli5dSteuXYmNjcVgMJCens7KlSu5fPkyU6ZMoVmzZup8FlrVokUL+vbty6pVq/Dw8ACKG+UAOTk5QPET9OPHj7Nv3z5CQkLUJfi0duw0bNiQYcOGsXPnTlJTU0lMTORvf/sbLVq0YPTo0fTo0QNFUbh06RK7du1i+vTpNG7cmFGjRgEVp+vh7bBYLOh0OmJiYnjhhRfYtGkThw8fprCwkF9++YUtW7bQs2dPWrVqhYuLC0ajkbi4OFasWEHPnj0r1XXm1VdfJTIykgULFnD8+HFSU1P56KOPmDVrFoMGDaJt27YYDAYSExNZvXo1R48e5ZFHHqkU15nWrVvToUMHm+7g1uuMtdu3Tqfj5MmTHDx4kHr16qlPNrVw7FiPEet9G6BWrVqMHz+e9957j5iYGKC4izegPh13cXHh6NGjbNy4kVq1atG8eXNAe9caac/cnLRnbq6ytGd0ihb7CglxC0reRAF27drFq6++yssvv8yAAQNYvnw5L7zwAq1bt+aXX34BYPv27UycOJG6deuydu1aZ4V+R11fD46cPXuWrVu3sm3bNg4cOKCO5XVzc8NoNOLh4UH79u15+eWX1QaXldaSJqW5dOkSa9asYdWqVezfv1/d7uHhQVFRkTqz+tixYzXVHdF6/JT8d7ZuKywsZMmSJWrDasmSJbz88suEhITw+OOP4+/vz++//86WLVt48cUXefTRRzX9RObatWvs2rWLuLg4Nm3aZDNWNTIykoyMDFJTU+nbty/PPfccYWFhmjl/buV7HDt2TF0H2zrJK0BgYCDXrl3D1dWVrl278sILL1Ta68z58+dZuHAhixcvJiUlRd1urSNPT0+eeOIJ7rvvPnU8qxY4us5Y/5ycnMz8+fOZPHkyADNnzuSTTz6hZcuWPPPMM7i5ufHTTz+xZs0apkyZwuOPP66p60xp9/CjR48SFRUFFK88MGzYMCwWC0OHDqV69ers2rWLw4cPa6pOpD1zZ0h7pnK2ZyQpICqFkid4QUEBrq6uapfCkkqewLm5uQwdOpTk5GRq165NVFQUhw8fJiUlhZdeeolHHnmkwp3w1yu53MrBgwfZs2cPoaGhNGnShJiYGDUjWtLBgwfZvHkzW7duJTExkdzcXIxGI3Xr1qV58+Y0adKE2NhYGjduTEBAgBO+VdlIT0/nypUrXL58mYCAAJo2bYqHhwdGoxFXV1ebhsLhw4fVHzclJ/tq3LgxsbGxNG/enKioKOrVq2czj0VFZe1Nk5KSQkBAAN7e3jZlXl5eQPFkV0888QSnTp0iMDBQnRArKiqK6dOnU61atQrb6LLGnZOTQ05ODqdOnaJu3bp2jUqrpKQkNm/ezKpVq9i1a5e63cXFhc6dOzNhwgSaNGlC9erVy+srlBlr3WRkZHD27Fn27dtHzZo1adeuHcHBwQ5fs2PHDlauXMmGDRvUca16vZ4mTZrQpUsXIiIiiIiIoHbt2urxpQXWiSivXbuGh4cH9evXx8XFBZPJhJubm825ER8fz/z581m+fDlFRUXq9latWtGlSxdiYmIICwsjMDDQ4f2uojEYDLi7u5Obm4ubm5vN/cm6ggUU/+h79NFHSU5OJiQkhJSUFIqKimjQoAE//fQT1atXr7DXmZJWrVrF+fPnOXz4MMOHD6d79+64uLiovXBK9iAwGAx88sknLFq0iMLCQnW2+E6dOvHRRx8RHBx8Sz+o72bSnrl10p4pXWVuz0hSQFQaZrOZ//znP5w8eZKdO3cyZcoURo4cqY6vs44JKnkS//LLL/z4449cvnxZfZ9Ro0YxZcoUgoKCKtwJfz2TycSuXbt4++23uXTpkjpRiqurK126dGHSpEk0b94co9Fos2wPFF8cd+/ezcaNG4mPj+fs2bOYTCY8PT2pX78+zZs3p1GjRowYMaJC30yNRiNr1qzh+++/59ixY1StWpUqVaqoT3OtHB0LiqKwZcsWli9fzrZt27h69SpQnG2PjIykRYsWNGvWzGZseUVy5swZVq9ezbp16zAYDPj5+WEymQgNDaV37950797d5seIoiisW7eOL7/8kgsXLuDt7U1YWBh///vfiYyMrNDnk8Vi4ejRo3z11Vds374dT09PHn30UR566CE8PT1LfZ3JZOL06dOsXbuWlStXql0SoXjZpz59+tC7d2+io6PVHz0VjcVi4dChQ3z44YccPnxY/UGi1+sZOnQojz32GGFhYQ6vM7m5ueq8A3v37lUn2PP39yc6OppWrVoRERFBp06dKnxyYNOmTcyaNYvt27dTt25d6tevz8CBA9VhJOB4bLPFYmHVqlX8/vvvNt3ovb29adu2LZ06dSImJkbtIl7RJCcns2XLFrZt28aVK1eoVasWOp2O2rVr06FDB9q1a2dzzBgMBubNm8dnn31GYWEhrq6uhIeH88Ybb9C6desKfZ0BuHz5MnPmzOH7778Hiu8nzz//PA899NANX3fp0iV++OEHDhw4gIeHB3Xr1uX111/XzGSm0p65OWnPlE7aM5IUEJXE6dOn+e6771i2bBmAOn7qmWeeUfcpKirCw8ODvLw89Hq92sBcsWIFBw4cICcnhzp16jBp0qQKecFzZP369XzwwQckJyerS14dOXKE+Ph4AKKjo5k6dapN97CSDXqrtLQ0duzYwZYtW9i/fz+XL1/GYrEQGBjI1q1bK/SyT9OmTWPGjBlkZWURGBiIXq8nKysLk8nEs88+y1NPPYXFYuHSpUukpaXh5eWFh4cHNWvWxMfHR32fnJwcNmzYwIoVK9i1a5fadbx79+589913zvp6f9mqVauYNm0aR48eVbf5+vqSl5dn0xgbPHgw9957r82SYdYGWNWqVQkNDa2wP3ZL2rhxI59//jmnT5/G3d2dkJAQnnrqKQYMGAAUJyVzc3M5ePAgderUUdfJLqmgoIADBw6wZs0a1qxZQ1pamloWFRXF/PnzK1wjA4p/7H766aecOXOGmjVrEhsby8WLFzly5AgAffr04bPPPrNJnpRM1FolJyfbdGm1Hme1a9dmzZo1Ffo6M3PmTH788UeuXLmCp6enOpEtwFtvvcX48eOB4tnik5OTqVWrFoqi4OfnZ/O9MzMzWb58OfPnz7c5N/v27ctXX31Vfl/oDtm6dSvTpk1TJ1q00ul06r9//fr16dOnD4MGDVK7ywPk5eWxYcMGvL29iYmJoWrVquUae1n58MMP+fnnn6lWrRrNmzenWbNm9O7dm/DwcAwGA6dPnyYhIYE9e/YQFhZGs2bNaNasmTqcJDk5GR8fH/XHbUX88eKItGduTtozjkl7ppgkBUSl8Oabb/LHH3/QtGlTunbtStu2balbty716tUjIyOD3bt3s2bNGk6ePEl4eDi1a9cmNjaWdu3a4efnZ9M1EbRzEx03bhz79u3j1VdfZdCgQWpX5S1btvD++++TmJhI9+7d+de//uXwaWfJbopWZ8+eZfv27SxbtozGjRvz3nvvldv3udMyMjLo06cPZrOZv/3tbwwfPpyLFy+yYsUK/vvf/9K2bVveeust/vjjD+Li4khNTVW74g0YMIB7770XKP6BU7IhkZSUxLp165g9ezaTJ09myJAhzvqKf0lGRgajRo0iOTmZgQMHMn78eMxmM6mpqaSnp3PmzBn27dtn89S7ffv23HfffXTp0qVC3zRLM3bsWPbv38/YsWMZNWoU3t7eVK9eHV9fXw4dOsS8efNYtWoVFouFnJwcGjRowNChQ0sd+13yurR8+XLatWunzvZc0dx///3s2bOHp59+mmHDhlGtWjXMZjPLly/nyy+/JCsri5EjR/LRRx/Zvda6dOP1DfFjx46xevVqfvvtN1q3bl0hf/BaZWRkMGDAAPLz83nooYcYM2YMFy9e5I8//mDZsmX06dOHN998k7lz57JhwwaOHz9OQEAAnTt3Zvjw4eoqFddfZ86dO8eSJUuYNm0a77zzjjoWtqK4du0a48aN49y5c3Tq1ImRI0fi6enJ2bNnSUtLIzExkZMnT6o9+fz8/OjduzfDhg2jZcuWDtdYr+iys7Pp2LEj7u7uzJo1i2bNmqm9R0wmE5999hnz5s0jPz/f5nXR0dGMHz+eYcOG2fWI1Appz9yYtGcck/ZMCYoQGpeVlaU0adJE6dSpk3L58mWbspSUFOWFF15QIiIi7P7fo0cP5dNPP1UKCwsVRVEUg8HgjPDLzIkTJ5SIiAhl/Pjx6jaLxaJYLBbFYDAoP//8sxIbG6tERUUpa9asUctL/jcnJ0fZs2ePkpKSopjNZrvPyMnJKYdvUnZmzJihREREKF988YVd2fPPP6/ExMQoo0ePViIiIpT27dsrPXv2tDmGXnzxRZs6MJlMat1VZD/++KMSERGhfPjhh3ZlJpNJyczMVE6fPq0sXrxYmTJlitKhQwclIiJC6dmzp/LHH384IeKydfLkSSUiIkIZM2aMXdnWrVuVPn36qMdEz549ldatW6t/79q1q7J+/fobvv+FCxeUlJSUsgq/TFmvM47qJi8vT/n666+Vpk2bKrGxscqePXtsyq3nSl5ennLx4kXFbDYrJpPJ7n2ysrLKJvhyYj2fPv30U7uyCRMmKK1bt1YmTpyoREVFKZGRkUqXLl1srjOff/65YjQa1dcYjUZNXGes19+3337brqyoqEhJTExUtmzZonz77bfKgw8+qLRs2VJp0qSJct999ylbtmwp/4DLwbx585SIiAjls88+UxSluB6s//3kk0+UiIgIpWXLlsqoUaOUjz/+WHnyySeVyMhI9ViZPn26M8MvM9KeuTlpzzgm7Zk/aaMPtBA3sH79ehRFYdiwYdSsWROj0QgUjzv86quvWLZsGbVq1WLChAn885//5KGHHqJZs2YkJyfz448/8sQTT5CRkaGJiZpK2rBhA4DNet/WLLmbmxsTJkwgIiICs9nM/PnzKSoqspmNFYqHVkyYMIFly5bZrLduLa/oGdStW7cC0K9fP6C4jgwGAwBt27alsLCQCxcuMG7cOH788UfWrVvHsmXLeOihh/Dx8WHt2rXqGF9FUXBxcVG7vZpMJud8qTvAuvLGyJEjgeInB9Z/cxcXFwICAggLC2PQoEG88sorvPvuuwwcOJCUlBTeeOMNvvzyS6fFXha2bNkC/HmcWI+RK1eu8O2335KcnEz37t355Zdf+Pe//83MmTP5+9//TqtWrbh69Spffvklp06dKvX969evX+qEfHe7NWvWANC/f38Am+Pe29ubhx9+mHr16lFQUMDChQvV9dPhz+vMkiVL6N27N3PmzFGfUFksFnVff3//cvkuZWXjxo0ADB48GCiuI+vEgb169SInJ4cDBw7Qv39/pk+fzvz58/n9998ZMWIEXl5ezJs3T50hXFEUdaIwi8VSoa8zcXFxuLq6MmbMGKD4OmP9N3d3d6devXp07tyZhx9+mNdee43JkycTExNDQkICjz76KHPmzHFm+GXC2r25Y8eONtv379/PvHnzCA0N5ZNPPmHevHm89NJL/Oc//2HTpk08/fTT+Pr68uWXX6rHm5ZIe+bmpD3jmLRn/iRJAaF5Fy5cAFDX61X+f8TM/v37Wb58OVFRUfznP//hzTffZNCgQbz66qvMmTOHL774gtDQUHbu3Mn8+fNtXqsF1uWsGjRoYFdmvSBOmjQJgG3btnH8+HG13Now37lzJ4A6vso6e7EW5lzIy8tDp9Ph5eWl3vBKfq8TJ04A8MQTT/D6668TFRWF2WymUaNGvPrqqzz00EMUFBQwd+5cwHatWp1OV2FXrcjOzsZoNFKlShVq164NFB8Pjv7NXVxcqFGjBn369OHFF1/kySefBGDp0qUcPHiwXOMuS9auulWqVLHZvmfPHuLj4+nfvz//+te/aN26NdHR0TRt2pSxY8fy2muv0bhxY06ePMlvv/2mnndakpSUBECTJk3syiwWCz4+PupxsXr1apKTk9Vy63Vm9+7dQHEXaOvrrp8orKLKzs7GZDLh4+OjzmNT8hpqne378ccf5/3336dz584EBQXRvHlz3nnnHQYNGkRmZia///47YHud0ev1FfY6k5GRQW5urtogh+LjoeS/ufV+7OnpSUREBA899BAff/yxmkSYO3euTZdfLbCOh7cu2Wl9WLFnzx5yc3OZNGkSffr0Af6cd6F69eo8+OCDDBgwAIvFwoIFC5wTfBmS9syNSXvGMWnP2Kr4R7oQNxESEgIU3wjgz5vo4cOHKSws5OGHH1YbrEajEYvFgpubGwMHDuThhx8GYNmyZWrmWSus9WLNHpe8qOv1ekwmE926dSM2NhaDwUBcXBzw55O+M2fOsGPHDurUqUNsbKz6Oi1QFAUfHx/q169PQUEBixcvBoq/n7u7O5cuXWLp0qW4uroyevRote5cXFzUJ1nDhg2jRo0aZGZmqkuqaYGfnx+NGjUiMzOTVatWAbZPU0pTu3ZtJk+ezIQJE0hOTmb58uXqays66/XD+gTOOpb5/PnzAIwfPx5PT0+bpyk6nY7o6Gjee+89/P39Wbt2rc3kclpRp04dAHWiuJI/6vR6PRaLhb59+xIeHk5OTo46Gez115m6detq8jrj7+9PSEgIeXl5LFmyBCj+fm5ubqSmpqpPy8ePH4+3t7f6hM5iseDh4cHYsWPx9fUlOTlZXZmholMUBV9fX8LCwkhPT2fTpk1A8TFRMjFf8n5s3d6gQQPeeecd+vbty8mTJ1m9ejWgjesM/Hk+rVmzhuzsbKC4Z1JeXh7u7u707NlT3Vev16t15O/vz6RJk6hduzZnz54lIyOj/IMvQ9KeKZ20Z0on7Rlb2jjihbiB2rVro9Pp2LJlC2fOnLFpSLi6utK2bVv1725ubuokPFC8/GDLli3JyMhQM/NaUb9+faC4a+7SpUttuu3CnzfVvn37otfrWbJkCRkZGer2LVu2cO3aNUaMGAFQobuPXc96jFgbWLNnz2bSpEn88MMP/Oc//2Hy5Mnk5uYSGxuLj4+POiQF/vzRU79+fTw9Pbly5Yrm6sY6sdn333/Pnj17bJ6mWCwWhz1qrDfLCRMm4ObmxqlTp8jOztZEwysiIoKgoCDi4uJYuHChut3a3bRq1apqt+6SDAYDzZo1IyIiAqPRyNmzZ8s17vJQq1YtoPg6c+DAAbvEqnWlF+u5tmjRIvLz89W62rx5M9euXWP48OGANq8z1ieT06dP58MPP2TRokXMnTuXV199laysLFq3bo2Pj49NYtp6n2ratCn+/v6kpaWRl5fntO9yJ+l0Otzd3dUfZzNmzCA5Odlm/fTrrzHXdwV/9NFHgeIJKa0rCmlBt27dCA0NZc+ePXzzzTdqXQUFBWE0GtUn5tczm83Url0bHx8f0tPTNZNAspL2TOmkPVM6ac/YqtjRC3ETiqLQtm1b+vXrR3JyMq+++qq6DFbNmjUxmUxqN7Lrn0BYZ7xWFIXMzEy1h4FWhhB07dqV0aNHk5WVxVtvvcXSpUttbgZWPXr0wMPDg6ysLPVJqMViUf9svYlW9IuhIx07duRvf/sbNWrUYMOGDXz++ef8+9//5vLly+rTvZSUFNzc3NSbhPWGefr0adLS0qhatar6w0grevfuzdixY0lMTOTxxx/n008/VX/Qlnw6VTJrbm2kFRYWYjQaMRqNFX4suFW9evV49NFHcXV15R//+AezZs2isLBQbYTv378fnU5nc34piqL2KMjMzCQ/P19zxwkUj5Pv3bs3iYmJTJw4kbi4OIdPU6xjga3LgUFxHVmfEmv5OjN06FDuv/9+3N3dmTNnDm+99RbvvPMOCQkJVK9eHbPZrP6AsdaddclG63XG39+/ws47UZoxY8bQq1cv9u3bx4gRI/jxxx+5dOkSYNtLoOTxZP2z9X6dm5trs5RaRefr68t7771H7dq1mTVrFg8++CBbtmyhQYMGDvpEVwAA/qNJREFU+Pn5qU/KjUajes01Go24uLhw/vx5UlNTCQwMVH9Ea4W0Z25O2jOOSXvmT9o76oUowXoyv/DCC3Tp0oVDhw7x4osv8ssvv9CoUSMaNGig3gxKNjKMRiN6vZ5z585x9uxZatWqpY5r1MoQAldXVx544AFat26tXtiun0xRURQaNGhAt27dMJlMrFixAoC9e/eyb98+mjVrRp06ddSxd1qj1+uZMGECTz75JAMGDKB79+706dOHadOmMX78eI4dO8aiRYvUfa1LQ0HxE8/CwkKbiY+0wt3dnYceeohu3bpRUFDAjBkzeOKJJ/jggw/YuHEjmZmZwJ8NK7PZrB5b1kl9OnToAGinXu677z769OlDZmYmH3/8MZMnT+bChQu4uLiwYMEC8vPz1TowGo3qdWT79u2cOnWKyMhItUeBlnh4ePDAAw8QGhpKXl4emZmZDq8VkZGRdOrUiYKCArUr5u7duyvFdcbd3Z2JEydy//3307RpUxo3bkzHjh354osvGD16NHv27FEns7ReZ6xP8KxD26xPAbVyPimKgre3N0888QSxsbFkZWXx5Zdf8vrrr/Pjjz+SkJCgPu22HhMlr7/W+3qbNm0A7J4cV2QtW7bkkUceISAggF27dvHiiy/yxx9/YDKZ+O233zh48CBubm7qQw03NzcUReGXX34hOzvbZqI5rZD2zM1Je8Yxac/8SadorQUiRCn27dvHP//5T+Lj44HisUTW2Veff/55hg4dSpUqVdSnd1evXuXzzz9n0aJFPPPMMzzzzDM2F0ktOXToECEhIaVmOjdu3KhOqrJs2TLWrl3Lv/71L9577z1Gjx6t2XopKScnB1dXV3UysE2bNvHEE09Qu3ZtHnvsMYYOHYqPjw+JiYls2bKFzz77DA8PD5YsWUJwcLAm14UG+O2331i4cCFHjx7FaDRSvXp1wsLCiI6OpmXLlrRp0wZ3d3fOnz9PfHw8//znPzGbzaxcuZKaNWtqrl7++OMPfv75Z06ePEmVKlXIy8vDYDDQqVMnJk6cSMeOHdHpdGRkZLBv3z6+/vprTpw4wRdffMHAgQM1ey7l5uYSHx9PTEyM3YSMVr/99htvv/02Xl5erFq1ioULF/Lll19WqutMRkYGBoOBatWq4erqysqVK3n++ecJCwvj6aefpkePHnh5eZGRkcGOHTt46623AFi5cqVmrzNXr17lp59+Ii4ujsTERLy8vGjQoAFRUVFERkYSERFBs2bN8PDw4PLlyxw+fJg33niDwsJCVq1aRa1atTRZL4mJicyaNYvVq1fbjPP29PRk8ODBDBw4EHd3d86dO8eGDRvYvHkztWvXZubMmdSuXVuzP36lPXNz0p5xrLK3ZyQpICqdxYsX8+uvv5KQkKBuc3Nzo3379rRq1QpFUcjKymLDhg1cuHCBmJgYvvrqK4KDgzV3EzWbzbc0g3dOTg5PPfUUe/bsUSf0uXDhAvHx8ZrqmulIaRf5oqIiXnzxRXXJNXd3d2JiYsjIyODMmTNUrVqVSZMmMWHChAp/o7Cyfo+S50FeXh7Hjh1j69at7Nq1i3PnzpGdna12tXN1dSUiIoKUlBTS09MJCAjgqaee4sEHH9RMvcCfM1UbDAb27t3L8uXL2blzJ+np6TYTCNaoUYOoqCiuXr3K4cOHgeJxiS+//LKakNSaW73OpKWl8cgjj3Dq1CliY2PJycnhzJkzleI6U9q9JT09naefflq9X4WEhBAWFkZOTg579uwhICCARx99lMcee0wz55P1e1iHSOj1eq5du8bu3btZt24de/bsISUlBUVR8PLywsfHB71eT8OGDUlPT+fUqVP4+Pjw2GOP8eSTT2qmXqwURUFRFPR6PVevXmXXrl1s3bqVw4cPk5aWRlZWlrpvQECA+vcGDRrw9ttv0759e2eFXqakPXNz0p75k7Rn7ElSQFQaJU/8ixcvEh8fz+bNmzlw4IA6ThGKT3prF6DY2Fg+/PBDdehARVeyMXE7r9HpdKxcuZKXXnoJV1dXCgsL6d69O999990t34grCuvEMrfynQwGAzNmzGDFihWcPHkS+HP97GeffZZevXrh6uqqiZtFye+gKAppaWlUq1bNpp7OnTvHgQMHOH78OOfPnyc5OVmtl+DgYBo0aKA+LddKvZTGZDKRkJDA+vXrOXToECkpKWRnZ9s02GvUqMG4ceOYOHGiphICf+U6Y70+z5kzh/feew9vb2/y8/PlOkNx74GpU6eyceNGmyUbq1atypQpUxg4cCBeXl6aOJ+u/3fOy8vD09PTZtvBgwfZsWMHhw8fJikpiczMTC5fvgwU/wiuVq2aTa8KLdTLzeTl5XHo0CGOHDnCmTNnuHLlCsePHyc3N5cmTZrQrl07hg0b5nDJvopK2jM3J+0Zx6Q945gkBUSlZTabuXLlCikpKZw+fZpjx45x4MAB/P39qVmzJp07d6ZTp04EBARo4mS/ntlstplE5WYsFgsvvPACK1euBGDatGl069ZNczfRkko+qbqe9UdMfn4+Z86cIT09nStXrhAQEEDnzp3x9vZ2QsRlx2AwsGLFChYtWqQuDVZQUECjRo3o3bs3rVu3JigoCMBmFmydTkdycjL169cnKChIUz9+HbHeUkueVzk5OZw+fZrLly9TVFREeno6tWvXpmXLltSoUUOdSV5r1xi4/etMVlYWzzzzjLqEoVxniq8zqampHDp0iNTUVPWH8uDBg9VzTiusk0uuWbOG9PR0fHx8MBgM1K1bl+7du9OuXTt1X4PBwJkzZ8jNzcXV1ZX09HRq1KhBeHi42i1a6xxdN8xmMwUFBej1etLT06lWrZrm60PaMzcn7Zk/SXvGMUkKCHGdrKwsAgICnB3GHXfq1ClmzJjBgw8+qK6rDreXSQb48MMP2b59uzoZmJb8+OOPbN++nUcffVSdOMbqdhsdWmpcHD16lBkzZqhryEPxnBw5OTnq3wMCAujZsydDhgyhY8eOpb6X1obg3IjBYMDd3Z0rV65QVFRE3bp17fbRWjLg3LlzLFy4kBEjRtg8lbyd60xOTg6vv/46Bw8eVFcf0JK5c+dy4MABxo4dS/PmzW3Kbnaduf540dJ15syZM/z888/MnTtX3abX621m/Q4KCmLw4MHcc889RERElPpeWqqXW2H9vsuWLePq1auMHDlSE7Ohl0baMzcn7RnHpD1TOkkKiErLejJ/9913HDx4kNdee4169erZlGnJf/7zH/79738DEBoaysiRIxk2bJjNMlbWGZodXfxLPrG6fPkysbGxmqunp59+mnXr1gHFjc+hQ4cycuRIGjdurO5zo0aH1urD6plnnmHt2rU0a9aM+++/n8DAQHJycsjLy+PIkSNs3bqVpKQkdf+IiAgefvhh+vTpo66vrvWJm27k3XffJSEhga+++op69eppqoF1vc8//5wffvgBb29voqOjGTRoEH369LF5on0rT6zOnDnD5cuX6dy5s+bqa9y4cezbtw9XV1fCw8Pp378/AwcOVO8/YH+dKZkM0Op1ZsqUKaxYsYKQkBDuu+8+atSoQWpqKtnZ2WpX3tTUVHX/rl27MmbMGDp16oSHh0elv87k5uYyYcIELl++zObNm/Hw8NBc0tFK2jM3J+0Zx6Q9UzpJCohKzXoTPX78OAkJCXh6ejo7pDJz9epVJk+eTEJCgs2yZ23atGHUqFH07dvXpovhjRruWpWYmMjTTz/N6dOnbeooPDyce+65h4EDB1KjRg11e2Woo5MnTzJ06FCio6OZN2+e3frgFouF7OxsDhw4QFxcHBs2bCA7OxsXFxfuv/9+nnvuOc13XXXE2hi/ePEi9957L0ajUV35RMsuXLjA448/TmJionoO+fn50aVLFwYPHkyXLl1slgqrDOfQ9Q4fPsykSZNsZox3dXWlXbt2DBo0iJ49e9qs0FAZ6sh6nYmMjGT27Nk23ZULCwvJzs4mLS2NQ4cOsXnzZnbt2kV+fj61atXikUceYcKECU6M3rmsSbP169fz1FNPaXZ8fEnSnrk5ac/Yk/bMjWn3X16IG7BmkHft2sXx48fp3bs3np6emlrLuCRFUahWrRrDhw9XZ2xu2bIler2ePXv28Morr9C6dWumTJnC9u3bgeLsesl1Wa03Fa3mEU0mE/Xr16dXr14oikLDhg3p1asXPj4+nDp1ik8++YSuXbsyceJEli1bRlFRkV0dlezmqhWrV68GYOTIkeh0OoxGo3oM6PV6XF1dCQoKokePHnz44Yd8//33PPTQQ1SrVo2ZM2fy97//XV1PvDKx1tGWLVvIzMxkzJgxQMVfx/hGFEUhJCSEYcOGoSgKHh4eREZGkpeXx4oVK3jqqafo168fH3zwgTqbfmW8zkRHR9OrVy8A6tWrR9u2bXF1dWXbtm28/vrr9OvXj5deeomNGzeqP+y0fp2xrhl/33334e3tjclkUu/Hnp6e1KhRg+joaO69917efvttPvjgA/r168e1a9f44IMP+OSTTzAYDM78Ck5j/eG/fv16oLgnipZJe+bmpD3jmLRnbkx6CohK7a233mLevHlMnz6drl27ajqzDsXLWz3yyCMkJiby6aef4u3tzfbt29myZQsnTpxQ9wsKCmLIkCGMGDHCbryeTqfTZHdEq1OnTjFx4kQURVGftuzcuZMtW7YQHx+v3kDc3Nzo378/99xzj80ST1rrrvn222/z22+/8eOPP9KpUyeMRqPNk15HMjIyiIuL4+OPP8ZoNPLFF18wcODAcor47vLEE0+wadMmVqxYQcOGDTXbJbOkxMREHnzwQQoKCnj11VcpKioiPj6e/fv3c/HiRXW/yMhI+vXrR//+/QkNDVW3V4brzN69e3nqqafw9/fn/fffJyMjg7179xIfH8+pU6fU60zdunXp1asXgwYNspl/QGvXmZdffpklS5bw66+/0qJFi1vqonvx4kXmz5/Pd999h5+fH//+979vOP5Xi6zHQWpqKuPHjycrK0udpFPrpD1zc9KesSXtmRvT5qAIIW6g5E10+/bt+Pv707VrV8Dx2DOtsFgsVK1albCwMI4fP05+fj69e/emefPmjB49miNHjrBt2za2b99OcnIys2bNYtasWTRq1IiRI0cyaNAgm/F6WhUeHk5wcDDHjh1Dr9cTHR1NkyZNGD58OMePH2fnzp1s3bqVU6dOsXTpUpYuXao+tRgyZMgNJ7+qiJo2bQoUP/Hu1KkTbm5uN20oBAUFMW7cOKpUqcKUKVOYPn26Zm+ijlh/+B8+fJj4+HgiIiJo2LDhbS+fVRFZLBbq169PWFgYW7duJSAggB49etC1a1cSExM5dOgQe/fu5dChQxw7doxjx44xdepU2rRpw6BBg+jVqxeBgYHO/hplrkWLFlSpUoUrV65Qt25dOnToQIcOHUhKSuLw4cPs27eP/fv3k5SUpF6Lo6KiGDhwIH369FHXV9eK8PBwoDhZ0qJFi1ta4qtevXr87W9/IzAwkI8//php06ZVuqSAxWJRhw4kJSUxfvx4AE2PewZpz9wqac/YkvbMjWm7dSLEdaxjhgA2b97MpUuXGDx4MKDtbr3w5xJp/fv3B1Bn9fb19aV+/fr079+fV199lW+//ZZ3332XPn364Ofnx+nTp/n000/p1q0b77//vtPiLw/W7qrdu3fHbDark/R4eHgQHBxMt27dePbZZ/n666/55z//yYgRI6hZsyZXr17lhx9+YNiwYfz222/O/Ap3XOvWrfH392fmzJn89NNP6tMVRVFKHW6jKApGo5HevXsTFhZGTk6Our6vVpXsdGc913bu3Elubi6DBg0C0OzwpJKs333AgAFAceMLoFatWrRr147777+fN954gw8++IAnnniC1q1b4+bmxo4dO3jzzTfp0KEDX331ldPiLw/WHmm9evWioKDAZjIw64+al156iQ8++IApU6bQrVs3AgMDOXr0KJ9//jn9+vVj6dKlTv4Wd1aLFi3Q6/V8//33bNy4EcBmYkVHrPfzIUOGUKtWLdLT07lw4UJ5hVzuHHXstT7IyMzMBGDYsGEAmk8+Snvm5qQ9Y0/aMzem3TSiEA5Yb5TWzGDVqlUZNWqUTZlWWW+igYGBeHl5UVRUBPzZQNXpdPj6+tKkSRPCw8Pp06cPFy5cYM+ePezYsYMdO3aos2Nr9SmEtYFVv359/Pz88PDwAGyX4/Hy8iI0NJSQkBC6du3KpUuX2L9/P1u3bmX9+vXqkyqtdBNv0KABkyZN4l//+hfffPMNly5dYsKECdSrV0+tE0czGFu75JlMJjIyMqhatapT4i9LJZ8wWP9bcluPHj0wm82MHTsW0HZPJCvrd7f+e2dkZAB/XjM8PDyoV68e9erVo02bNgwePJgTJ06wf/9+EhISOHLkiPparQ7nsn4n65NK6489ax25uroSHBxMcHAwLVu2pH///pw6dYoDBw4QHx9PfHw8LVq0UF+rhe69LVu25NFHH2X69Om8/vrrjB8/nlGjRhEcHGxz3y7Z28ba9btKlSrodDrS0tLw8/Nz5tcoU9Y10i0WC7m5uQQGBqrH0KRJkxg6dCh16tSpFD2SpD1zc9KesSftmRuTOQWE5h08eJDU1FSuXbtG06ZN1e5D8OfFUSsXvFuRl5fH5s2byc7OZvDgwfj4+Nxwf4PBwLVr1zh58iTt27e/pe5WFV1+fr46LrNr1643/a5ms5nMzEyuXLlCkyZNNFc/RUVF/OMf/2DOnDlA8UzpAwYMoH///nTo0MFmpvCS59KePXu4//77iY2NZe7cuZqrFyieBfv333/n0KFDhIeH06BBAxo3bky9evXs1gnX4vcvTWZmJkuWLKGwsJBx48bh6+urljmqh2vXrnHx4kWOHj3KyJEjcXd313x9ZWVlsWHDBjw8POjXr5/NPcjRd8/NzSUpKYm0tDS6du2qufpJTU3l3XffVSfMCwkJoV+/fnTp0oVmzZrZrA5U8ofc3r17mTBhAi1atODXX3/VXL1A8T1m8eLFTJ06latXr9KgQQNCQ0Np1qwZzZs3p1GjRjbLfkLluN5Ie+bmpD1jS9ozpZOkgNAso9HI9OnTmTp1KlCcEfXx8SEqKorOnTvTsWNHwsLC1P0VRVHH5wkh7G3cuJFffvmF3bt3YzAYcPs/9s47LKpr+9/v0BGQIogNRRFHaaIioth77y3RmGJimmnetG9uYkzRmNxETWKaxpiYxBTbtWKLFRQVEBURsACiCNK7wMyc3x/8zpEJY0muQjjs93nyROecmWfvj2fvtc7ae69laUn79u3p3r07/fr1o3v37lRUVFBSUsKZM2f48ssvlS3Po0ePVs2KjOwoXL9+nVdffZXIyEjlmoWFBVqtlq5du9K1a1e0Wi3NmjUzcjQEt6YhBWgFpvntt99Yt24d586dA6qOnnTs2JHAwEC6deum7JIoKCggJSWFjz76iOjoaD766CPGjh2rmnkGbi5c7N27l3nz5tWosGBtbU3r1q3x8/MjMDAQPz8/2rZtK+YbgeAOCH+mJiIoIFAdshHduXMnL774ItbW1tjY2ODm5kZmZiZFRUVoNBpatmxJ165d6d+/PyEhITWi7GpFHvJqi3DeS4RGxlR/UUtOTubIkSNEREQQHx9PRkaGcp+NjQ3+/v5kZmZy+fJlAKZOncqbb76JlZVVnbT9fiA7A19++SWfffYZrVu3plevXqSlpREbG0tJSQkAdnZ2+Pv7ExQUpKzmubq6qkqLWyGfAxcv+LdGzDPGyPNMeXk5p0+fZv/+/URGRpKamkpJSQlmZmZYWVnh5OSEj48PhYWFnDx5Er1ez6hRo/jggw9UN7ZkTR566CFOnDjBo48+yogRI0hNTSU8PFxJRmkwGHBwcMDLywt/f38CAwPp2LGj0cKHGhFj6M4IjYwR/sytEUEBgeqQB/ysWbM4fvw477zzDoMHD+bq1aucO3eO06dPExcXR2pqKjdu3MDKyoq2bdsSHBxMnz59lEoEAsGfEca1CoPBwNWrV0lMTFT+S0pKIiUlBahK9uTm5sb06dOZOnUqtra2qtxqN3z4cC5fvszatWsJDAwEqrZA79+/nx07dhATE6MkMHV3d6dTp0706dNHyRAuEJhCzDNV6PV6Jd/E2bNnuXTpEteuXSMzMxOoOufr4ODA9OnTmTlzJi4uLqqcZ3Jychg0aBDt2rVj48aNRtfS0tIIDw/n0KFDnDlzhuzsbKXe/COPPMK//vWvOmq14J+OmGeqEP7MTURQQKBK8vLyGDFiBC1btmT9+vVGgzc/P58LFy5w5swZTp48SUJCAhkZGVRUVDBo0CC++OIL1Q54geBeU1lZiV6vp6KigtzcXC5duoS3tzeNGzfG0dGxrpt330hLS2PKlCn4+Pjw3XffodPpMDMzM1oZv3DhAjt37mTPnj1K3eypU6fy7rvvim3yAsFt+LMNvnHjBrm5uRQWFlJaWkpKSgoeHh60bt0aNzc3VY+l+Ph4Zs2axZgxY3j77bepqKjAwsKiRp/Pnj3LoUOHiIyM5NixYyxdupQRI0aoNmGnQHCvaaj+jIy6DkMIBP+fkpISGjVqhIeHBxqNRjkvJGcqDgoKIigoiJEjR5KQkMCZM2c4cOAAU6ZMAWgwuQXkF5OcnBwSEhLo0aOH6s5I/a/IDlVUVBQpKSmMGjUKGxubBh80qqysxNLSkosXL5Kenk6vXr3w9PTE09OzrptWK7i6utK4cWMl+7fBYFBqq8vzR/v27Zk7dy5z584lKiqKDRs2MHPmTMB0eTG1Ir/g5efnk5ycTEBAQIOYX/8K8lx89uxZ0tPT6du3r5ItvCEiz6/yPJOZmUl+fj4+Pj5YWlrStWtX5V61jyUfHx/s7OyUXUfVbU/1igxyIuXHHnuMkydPEhISAjSMqicg/Jm7Qfgzpmno/oyMekOrggaLJEm0atWK1q1bU1ZWRkVFhZLJuvo9gFKr9emnn+aTTz6hf//+QMMxojI7d+5k9uzZfPfdd3XdlH8c8rPwyy+/8Oabb5KQkNDgDSjcLNHz/fff88wzz3Dp0iVA/Q66jK2tLX379uXkyZOUl5crZwyrlwMzGAxK7eOgoCA++OADOnToADSsOUbOL7Br1y4ee+wxNmzYUMct+uchPzM//fQTzz33HBcvXqzjFv0zkOeZb7/9lmeffZbU1FTg5jMFDWP78yOPPMKBAwfIzMzE0tLSaI6p/meDwYC1tbUSEGiICH/m1gh/xjQN3Z+REUEBgerQaDQYDAb69u3L4cOH2bNnD1DldEmSpETb4WaU3dzcnDZt2tRVk+sM2Zk4dOgQAIMHDwaMHa6GjKxDWloaJ06cwNXVVcl83ZCprkt4eDjOzs74+PgA6nbQqzsIqampODs7k5KSwgcffKA4EWZmZkYayE6YHBxoiMga7N27l7KyMoKCgoCG53Ddiurj6fDhw0bjqSFTXZc//viDyspK2rdvD6g/gaXc99zcXD799FO2b99OVlYWDz/8ML/88ouSEE0eW/JYUrsut0P4M7dH+DOmaaj+jCnEvhqBapAj5ufPn2fVqlXExMRgMBhYuHAhp0+fZurUqXh5eSnbyQwGgxIQaIhU36564sQJvL29adeundFKp6CKw4cPc/36dR577DEAVZai+TscPnyY7OzsBqOLvA1+3bp1rFmzhvPnzwPw66+/EhcXR/fu3enRowcBAQG4uLgo46gh5yipPs9ER0fToUMHZZ5pqJrcioY2nu6Ww4cPk5ub26B0keeON954g/DwcHQ6HTY2NqSkpPDOO+/w008/0a1bN/r3709wcDD29vbKeGqI+UqEP3P3CH/GNGL+FUEBgYqQJ/758+dz8uRJABwdHcnNzeWHH37ghx9+QKvVMmnSJMaMGYOzs7Py3YaciOfAgQOUlpYyefJkoEqLhjYR3gr5mTp48CCAolFDdzIaoi6yc1lUVMSyZcvIyclRygtWVlZy7tw5zp07R1hYGB06dKBLly50794dPz8/cWaTm/PMpEmTADHPVKchjqe7oaHqIvsjR44c4cCBAzRv3pzBgwdjZmZGZmYmiYmJpKamcvHiRbZu3UqHDh0ICQmhf//+dO7cWfX63A7hz9yahjqe7oTQ5SZipAhUgWxEIyIiOHnyJN7e3syYMQNXV1fS09OJjIwkMjKSxMREFi1axKJFiwgNDWXatGkMGjSoQQYE5HrQhw8fBmDcuHFAwzrrfDuqrzxERUWJlYf/j6zLmTNniImJoWPHjg1CFzl54LZt28jJyWH06NEsWLCAkpISzpw5Q3R0NLGxsSQnJ3P48GEiIyPZvHkzfn5+dOzYkalTp9K4ceO67katI88zERERgJhn/kxDHU93QtYlLi6OmJgYtFptg9FFDiBu2bIFgJdeeomxY8cCcP36dS5cuMCpU6c4deoUCQkJyp/XrVtHmzZt+OabbxrcXCP8mdsj/BnTiPnXGBEUEKgC2Yju2rULgGeffZbhw4crOQRGjx7NpUuXiI6O5tChQ0RHRxMREaE4qhERETRp0qTO2l8bVN+uKwdR4uPjiY2NpXv37jg5OTXoHRO34ty5c5SUlDB+/HigYa48mNrqHRUVRVFREcOGDQPUr4s8LqKjozE3N+fhhx/G3t4ee3t73N3dGTx4MGlpaURHRxMVFcWZM2e4cuUK27ZtY9++fTz00EN13IPaofrWZXk+iYmJISYmBn9/f5ycnBrk9ubqiPFkGlO6HD9+nKKiIkaOHAk0DF3MzMzQ6/Xk5+fj6OjIkCFDlGtNmzaladOm9OzZkytXrnDu3DlOnTpFXFwc0dHRFBcX07hxY9UfzxH+zN9D+DNi/r0dGklk+hGoBEmSeO+999i4cSPh4eHY29vXuEeuPZqYmMixY8fYuXMnlpaW7Nq1S/VGFCA9PZ0WLVoYfbZnzx7c3NwIDAxs0Ea0vLycoqIirl+/jpeXl1E5sJiYGDp06IC9vX2DeE7gpuGUM+hnZGTg7u6uZNkHOHr0KP7+/g1Kl48++oi1a9dy5MgRGjVqhF6vR6PRGL3kGgwGkpKSiI6OZt++fbRu3Zq33367wYyv/Px8nJycjD7773//S/PmzenRo0eDPKspxpNp/tzPoqIibG1tleejqKiIP/74g0GDBuHg4NAgdJGDZitWrGDNmjXs2bMHW1tb5ZpGozHSoKKigpSUFKKiovDy8mowY0z4M7dG+DPGiPn37hBBAYGq2LBhA2+99RabN2/G29sbMG1EAcrKykhPT8fc3BxPT0/VGZDqNXt//vlnjhw5gqWlJY6OjvTo0YPQ0FDatWtn9B21aXC3xMbG8vHHH5ORkYG1tTVNmjQhODiYvn37EhAQYHSvXq+vkWFerZw/f55ly5Zx9epVXFxccHd3p2vXrnTp0kXJAi6j5tVfeVyUlZWxf/9+3nnnHT788EP69++vZP3WaDRGNcNlSkpK0Ol0ODo6qlIjuU/FxcVs3LiRiIgIHBwcaNKkCZ07dyYwMLCG465GHe4GMZ5Mc+XKFVasWMGlS5fw8PCgZcuW+Pn5odVqad68udG9anfW5X/3HTt2kJKSwqpVq5gzZw6zZ8+u8ZJ/K99GjQh/5u4R/oxpxPx7Z0RQQFDvkQfvV199hU6nY8OGDQQHBzN//vwauwUa4kB/7rnnOHToEOXl5ZiZmSnlV1q2bElgYCB9+vShd+/euLq6Kt9Ru+MFN5+Fa9euMXPmTK5evQpU1Z8vKysDwNXVFV9fX3r37k3fvn0bRNlKWZeMjAxmz55tVC9do9Fgb29PmzZt8Pf3p3v37nTt2pVmzZrVYYtrjxEjRuDo6EhcXBxdunThzTffRKvVAjWrmTQkhx3g5ZdfZt++fZSWlgJVxy0cHR3x8vKic+fOBAUF0aVLFxwdHZXvNKR5RownY2RdMjMzmTt3LmfOnFGumZub07x5czp16kTnzp0JCAjA29vbKDmwmklPT2fgwIGKLWrTpg2zZs1i6NChuLm51bjfVDBSrQh/xjTCnzGNmH//GiIoIFAFGRkZ9O/f3+iz4cOHM3LkSPz8/GjatKlRlF3tRlSOkMfGxjJ9+nRcXFyYOnUqlpaWpKWlkZCQQEpKCjdu3MDS0hJPT0+Cg4MZMGAAXbt2pVGjRnXdhfuOvL1y+fLlLF++nP79+zNmzBhKSkpISkri7NmzXLx4kcLCQjQaDS1btqRr165KCajqToea+LMu3bt3Z9iwYeTm5nLu3DnOnz9PRkYGBoMBFxcX2rVrR5cuXQgJCaFTp041to2rhdTUVMaMGUNFRYXyWYsWLRg/fjyTJk2iZcuWyud6vR5Qf5IreZ45deoU06ZNo3HjxowcORKdTkdqaiopKSnk5ORgZmZG06ZN6dChA926dSM4OJiOHTsabWlVK2I8mebPuvj4+NC/f3+uXbvG2bNnSUlJoaKiAisrK9q0aYOfnx+BgYH4+/vTpk0b7Ozs6roL9420tDT+85//EBMTQ3Z2tvK5j48Pw4cPp1+/fkblldWO8GfujPBnTCPm37+GCAoIVEFRURE//PAD4eHhxMfHK457s2bNlO1Bvr6+eHp64uLiUsetvf/I0dH33nuPn3/+mffee48pU6YAVed9L168yJkzZzh16hTx8fFcvXoVnU5H48aNadq0KatXrza5IqFGxo8fT3p6OmvXrlW2kJWWlpKamkpcXBwnT57k7NmzpKamcuPGDQACAwP59ddf67LZ953Ro0dz7do11q5dq6yGFxYWcvbsWY4fP87Jkye5cOECubm5WFhY4OjoSPfu3VmyZEkdt/z+UFFRwaVLlzhz5gyHDh3i+PHjFBQUKNe7du3K5MmTGTp0qMl8JmpEdtYXLFjAr7/+yvz583nwwQcByMzM5MyZMxw/fpzTp0+TnJxMYWEhVlZWeHh44OHhwaJFixrM6q8YT6YZMWKEMv/6+voCkJuby7Fjxzh48CAxMTFcuXIFg8GAo6MjrVq1omfPnrz88st13PL7T3Z2NkePHiUsLIxDhw6h0+mAqhXO3r17M2zYMHr16lXjeI7aEP7M3SP8GdOI+ffuaBhhRoHqcXBwYO7cucydO5fTp08TFhbGvn37SE1NZceOHYSFhdG+fXu6dOlC165d0Wq1eHh4qNZ5l3dA5OTkYGNjw6BBg4Aq4+rk5ES3bt3o1q2bUvP49OnTSkmW8vLyBmNAc3NzkSSJFi1a0L59e3Q6Hebm5jRq1IhOnTrRqVMnhgwZwoULFzhz5gxnzpzh4MGD+Pj4AOo9s5iZmUlFRQXt27dHq9UqujRu3JiePXvSs2dPMjMzOXXqFMePH+fs2bOcPHlS2RquRl2srKzo2LEj3t7eDBo0SKk0cPjwYU6cOKFk2P/3v//N8OHDGTt2LAMGDKjrZt9X5H/jq1ev4uDgwPDhw4Gqecbd3V2pypCSkkJMTAwnTpwgPj6exMREKioqGkxAQIwn06Snp1NaWkpAQAC+vr6KLi4uLowYMYIRI0aQlpZGeHg4hw4dIiEhgbNnz+Ln5weo+zigwWDA1dWVMWPGMGbMGFJTUzl06BA7duzg5MmTHD58mMOHD+Ps7ExgYCDPPfecYpfUhvBn7g7hz5hGzL93j9gpIFAFprbr6vV6wsPD2bFjB4cPHyY3NxcAe3t73NzceO6555QyR2pDdpY+//xzfv31V/bv32+UZfXPZ+wMBgNXrlwhJiaGpk2b0qtXL9VnL5Y1mjt3LgUFBfz4449G102dQ5RXPzt37oybm5sqnVK5Tw899BB2dnZ8/fXXRv001efk5GSOHDlC//79admypep0udWZ1IqKCvLy8rh06RKRkZEcPnyY+Ph45fprr73Go48+WptNrVVkXRYuXMjevXvZv3+/0bU/H9HS6XQkJSVx8OBB2rVrx7BhwxrMPCPGkzHy8zFx4kQ8PT1ZtmwZlZWVWFpaIkkSBoOhhiMeHx/Prl27mDBhAp6enqrU5U5UVFSQmJjI3r172b17N8nJyQCsWbOG4OBgVZ6fF/7MnRH+jGnE/PsXkQQClVBeXn7La3l5edLGjRulJ554QurSpYuk1WqlEydOSJIkSQaDobaaWOscOHBA6ty5s7R27VpJkqr6WllZqfTZYDCouv93w5o1a6SAgABp9+7dymeVlZWSXq9X/t4QNfrmm2+koKAg6dSpU8pnOp1O0cVgMBhppFbkf/uCggKpqKhIysrKkoqKimrcV1JSIl2+fFnauXOnNH/+fCk0NFRKT0+XJElSvU7bt2+XfH19pT179kiSVNVfnU4n5plqiPFkmqVLl0qhoaFSRkaG8plerzd6dhqaLtu3b5c2bNggbd68WTp16pTJ+UaSJKmoqEg6cOCA9OGHH9ZyC+sG4c/cGeHPmEbMv3eHesNmggZDeXk53333nZIsJCgoiJCQENzd3ZV7nJycmDBhAhMmTCA1NZXw8HCCgoIAVBdVl0lJSeHatWtoNBrWrVuHh4cHvXv3VqLlBoMBg8Gg/F1S4QqDKeSob1lZGREREZw/f57y8nJWr16NRqNh8ODBRppU3zqmZo3kvun1eqKjoykoKKCoqIjPP/+cp556im7duhmt3N0p2q4WJElSSjxdunQJX19f/Pz88PPzo3379jRr1gwbGxsaNWpEo0aNaNGiBSEhITz++OM0b95c1QlNAa5fv45Go8HS0pIff/yRVq1a0bFjR+W6qaoMatZDRown01SfQ+Pj47GwsCA7O5vFixczZ84cOnXqZNT36jsG1KpL9czxa9asYfXq1QA4OjrSunVrfHx86Ny5M35+fnh6eiqr5Pb29vTr149+/frVZfNrBeHPmEb4M6YR8+/fQxwfENRL5EF76dIlvvrqK7Zu3apcs7S0pHXr1nTr1o0BAwYQHBys6kzF1ZEn/PDwcJYsWWK0lRmgffv2TJ48mdGjRxtlm20o2dLh5rPz2Wef8f333ysl1GRcXV2ZMGEC48ePx8vLy+h71Z0OtSHrsmLFCr7//nvluI1MQEAAw4YNY+jQoXh4eBh9r/pLn1qQx9KRI0dYvHgxSUlJRtednZ3x9/cnKCgIf39/WrduTdOmTbG0tKyjFtcesjbHjh3jiy++4Pjx40bXQ0NDGTVqFAMGDDDKG9AQ5xkxnoyRdfnhhx/44YcfSE9PV645OTkREhJCv3796NWrl1FgX1JxxSB5PC1dupRvv/0Wa2trnJycyM/PV+yTs7Mz3t7e+Pv74+vrS8eOHWnXrl0dt/z+IvyZOyP8GdOI+ffvIYICgnqJbCwWL17M999/T8uWLWndujV2dnYcP36cwsJCoKpGa/v27enevTt9+/YlJCSE3NxcnJ2dVRkhlaOjs2bN4vjx47Rp04YOHTpQUVFBTEwMRUVFyr09e/ZUsqU3hBcZuKlPUVERffr0QafTERISglar5fr165w4cYKMjAzlfq1Wy6RJkxgzZoyqk6JV16V///6UlZXh4+NDmzZtKCgo4OzZs+Tl5QFgY2NDjx49GDFiBAMHDqRx48Z13Pr7g6zJE088weHDh+nXrx+jRo3i+vXrrF69mpycHOXeNm3aKI66m5sbzZo1o2fPnnXY+vuLrM1jjz3GkSNHcHFxoXXr1gAkJiYqdbGdnZ3p27cvI0aMMFrVUztiPJmmui6DBw+moKCA1q1b4+rqSllZGampqZSWlmJhYUGbNm0ICgqiX79+BAcHqzYpsExZWRl9+/aluLiYpUuX0r9/f7Kzs5k1a5Zit4uKijAzM6N58+a0bNmSiooK+vTpw7PPPlvHrb8/CH/m9gh/xjRi/v37iKCAoN5SVlZGaGgolZWVrFu3TjEWkydPpqCgAE9PT5KTk8nOzsbS0hIzMzP0ej2TJk3inXfeqevm33PkifDy5csMHTqUDh06sH79esrLyykrK+PKlStERUVx+PBhoqOjMRgMQNWkGBISwr/+9S+8vb3ruBf3FzmYtG7dOt566y1mzpzJm2++yY0bN7hx4wYZGRnExMQQHh5OZGSkUdTd19eXzz77zKgevVqQdfn999+ZP38+06dPZ8GCBRQVFZGVlUVycjKxsbFERUVx7tw5pZSRu7s7fn5+zJ8/32hVr74jrzKkpKQwfPhwPD092bZtm/JSO3ToUGxsbPDz82Pv3r1KENLKyoqKigr69u3LihUrVLk988/zTLt27Vi7di3l5eXk5ORw8eJFTp48SXR0NElJScguRtu2benevTuzZ8+mTZs2ddyL+4sYT6aRdfn1119ZsGABkyZNYuHCheTm5nLp0iXOnTtHbGws8fHxpKWlodPpsLW1pVOnTvj4+PDMM8+orqSwrMmGDRv497//zQMPPMDbb78NVCUVDAkJITQ0lKlTp7Jt2zY2b94M3Jxrnn/+eZ555hnVZUgX/sydEf6MacT8+/dpGGF7gaqQB3xYWBilpaU89NBDyhlWMzMz8vLy8PLy4s033yQ6OprPPvuMvLw8HBwcKCoqolmzZka/ozbOnDkDwNixY7GyssLKygoHBweaNm2Kn58f48aNIykpicjISMLDw0lMTOTAgQNMnjwZb29vVb7IyMj/3mlpaQCMGjUKqHIkbGxscHJywtvbm+HDh5OcnMyJEycIDw8nKiqKs2fPqja6Lusib5GfMGECUFXq08HBgXbt2tGjRw9Gjx5NYmIi0dHRnDx5kqSkJDIzM/n444/rrO33A/lFdtu2bQBMmzZNCQikpaVRUlKCt7c3ixYt4o033mDhwoVs2rQJV1dXmjZtyhNPPAEYn4dWG9HR0QBMnjwZJycnoMqp8vHxoXfv3qSlpREfH688K8nJySQnJzN48GDatGnTIOYZMZ6MkXWJi4tDo9Ewbdo0AFxcXHBxcSEoKIjhw4eTlJTE6dOnOXXqFImJiUq5z5dffrkum39fkI9D/PHHHwAMGzZMuRYTE0NlZSVOTk706dOHPn360LFjRz788EMCAgKYOHGiUkFJjccqQPgzt0P4M6YR8+/fRwQFBPUO2fgdOnQIQKlZC1UGpKysDFdXVzp06ECHDh3w9PTk8ccfJyAggDfeeEM5P6Q2IyobPnkbb9OmTYGqRIxWVlZoNBqsrKyU+uHdu3dn2rRpnD59mtjYWAYPHmz0O2pGDiI1atQIQKlbq9FolDrZLi4u+Pv7M378eOLi4igsLKRRo0aqDCbJjlP79u0BlLrOOp0OMzMzzMzMsLe3R6vVotVq6d27N1euXFFeDG1tbVWli9yP2NhYAPr3769cu3TpEgUFBYpG9vb2jB8/nq1bt+Lm5saXX36prGaqRY/qyPOD3H951b/6POPs7IyzszO+vr4MGDCAlJQUYmNjSUxMpG/fvka/o0bEeLo9Hh4eaDQaxRbr9Xo0Gg1mZma4ubnh5uZGr169uHLlComJiURERODo6IiNjY3qdJG3OV+7dg1HR0dCQkKUa2lpaVRWVtK5c2fls9DQUBo3boyDgwMTJ040+h01IfyZu0f4M8aI+ffvI4ICgnqHRqOhpKSE/Px8bGxs6Natm3ItLS2N0tJS5bPKyko6depEy5YtKSgowMvLS0lCoyZjIU9gRUVF2NjYEBAQwOHDhxk7dizW1tbKfdWzqtrY2NC6dWs8PDwYMmQIoO5stHKd4oSEBGxsbPD09GTz5s28+uqrRmedDQYDGo1GcTqaNWtGs2bNlO2JajMUsi6ZmZl07NgRT09PduzYweOPP35LXWQnw8fHR9FFbUG2goICDAYDzs7ONGnSRBkb6enp6HQ6goODgSpdgoOD8fPzw2AwGNXPVhvy/FFZWUlAQAABAQFERUUxaNAgk/OMubm54rQHBgYq21cbwjwjxpMxso0qKCjAz88PNzc39u/fz8SJE43mVHmXjhw08PDwUM5Lg/p0gapnoXHjxmRmZpKamkqbNm2oqKggLS0NCwsLZRu8wWCgQ4cOuLi4kJWVRU5ODk2aNKnj1t97hD9zZ4Q/Yxox//5viKCAoN4hSRJWVlY0adKE8vJyIiIi6N+/P5WVlVy9ehULCwslK6+FhQVOTk44ODiQl5dHWlqaUaZRtfHaa69x6NAh3NzcOH36NI6OjkyePBkvLy8lrwIYZ3LWaDSKoVWrAQUUgzBx4kTlGfruu+/Q6/WMGTMGLy8vbG1ta5TDkv+uViMh69KvXz8sLCwwMzNj5cqVWFlZMWjQIJo1a4a5ublJXaobWTU9O5Ik4ejoiL29PXl5eYSFhTFt2jRu3LhBWloajRo1onnz5sDN5yInJwe9Xk9JSYlqk6LJ/+7PPPMMUVFRNG7cmB9//JGmTZsyfPhwmjVrpqz4gvE8Y21t3aDmGTGejJFfPgYMGICTkxM5OTmsXLkSJycnevbsia2tLWDcb9lxV/uz4+joiKWlJbm5uaxevZoFCxYgSRIpKSm4uroqK8BmZmZkZWVx/fp17OzsVBkQqI7wZ26N8GdMI+bf/w0RFBDUO+Sa2HZ2dkiSxFdffYWPjw9Nmzbl8uXL2NvbK065RqMhKyuL9PR0XFxcVBsQkB2uoqIidDod165dA+C///0vly9fpmfPngQEBODp6UmTJk2UCCmoO5r+Z3JzcwkMDCQxMZGSkhIA1q1bx7lz5xSN2rVrh5ubm2JQGgLXr1+nWbNmSqbiiooKvv76a2JjY+nXrx9+fn40a9ZMKe2pdl3k8dCnTx92797N22+/ja+vL35+fqSkpKDX640yXCckJJCdnU2HDh1UnaBIdppSU1MpKytTqgysXr2aCxcu0L9/fzp16oSbmxvW1tYNdp4R48k06enpWFpaKmUIk5OTWbBgAYMHD2bkyJH4+voqwQFoOLoAPP7444SHh/Prr7/y/PPP4+Liwvnz58nOzlaCAgDh4eGUlpbi7+8PqDM3kvBn7g7hz5hGzL9/H1F9QFBvqB7lBMjMzOTxxx/n/PnzHD16FGdnZyZPnkxcXBy///47AQEBAKxfv54333yTqVOn8u6776rSiFbn7NmzbNu2jf3795OSkqJ83r59ewIDA+nSpQs+Pj60atUKBweHumtoHZKWlkZYWBh79uxREhkBtGjRgs6dO9O1a1f8/Pxo06aN6rJd346LFy+yfv16tm7dSnZ2tvK5t7c3oaGh9OjRgw4dOuDq6mq0jVNtyHNNQUEBb7zxBpcuXSIsLAyoWplJTEzk888/Z+DAgQB8+OGHrF69mnnz5jFnzhxlC6OaiY6O5rfffmPXrl2Ul5crnwcGBtK7d2+CgoLw8vLCycmpwZQI+zNiPNWkuLiY2NhYwsLC2Ldvn1IaDKoyog8bNox+/frh5eWl2jFU3ZeRjzOam5uzdu1acnNzmTt3LsXFxTz11FOcOnWKZ599lnHjxqHT6Xjqqae4ePEiv/32G507d67hF6kN4c/cGeHPmEbMv38dERQQ/KO5VdRXNoRHjhzhwoULzJo1i/Lyct599102bNjA+PHjefTRR7l8+TIffPAB6enprFu3Dn9/f9UGBf7sHEiSREREBDt27ODQoUPKpGhlZUWnTp3o2rUr/v7+DBs2TJV6mEKv1ytbDGVOnTpFWFgY+/fvJzU1FahaKdZqtXTs2JFBgwYpZxTVSvXERDLHjx9n3bp1hIWFKed5NRoNQUFBBAUFMWDAACXwVt+5nWOdm5tLRkYGPj4+VFZW8sUXX/D111/j7e3NwIEDuX79Olu2bMHOzo4dO3bg6uqq6tWqP2tlMBjYvXs369evJzw8XPnc1taWHj16EBoaSufOnfH391etJn+moY+nuyU7O5vIyEjCwsI4ePCgkS59+/ZlwIABDBgwQJW7byorK00Gy27cuIGNjQ0AK1asYMmSJdjY2NCyZUuysrIoLCykX79+fPPNN7Xd5FpF+DN3RvgzphHz799HBAUE/3iKi4sJDw/H0dERd3d3mjVrZrSdrjphYWG89NJLyt8tLCzQ6XSMGDGCpUuX1laT/3EUFRWxf/9+duzYwbFjx5Rtv3369GHlypV13Lra4U4vanq9nvDwcMLCwjh06BC5ubkA/Otf/+KJJ55Q7Yvenfql0+nYvXs3GzZsICIiQvn8lVdeYfbs2fVWl+rtLi0t5dKlS1hZWZGZmUnz5s2VzMXyvXJ5wYsXLzJv3jwSExOVWuEuLi488MADPPfcc/VWj3tBXl4e27dvZ+PGjcTHxyufDxw4kC+//LIOW1Z7NNTx9L+SmprKwYMH2blzJzExMcrnr776Ko899lgdtux/R/43zcrKIiIigvj4eGUnkqenJ/369aNdu3ZGSUolSaK0tJT33nuP3bt3o9PpqKioYODAgcyePZtu3bqpdoHjTgh/Rvgzt0LMv/8bIigg+MdSVlbGmjVr2LBhA2lpaUiShIuLC/369eORRx5Bq9WaNIq//vormzZt4vz585SWlvLggw8yY8YMvLy8VLnVTp7ECgsLuX79OleuXKFTp063XF25cuUKe/fuZe3atTz11FNMnDhR9dudq28Hl8ujubm5YWVlhYuLC56enkbb6vLz89m/fz+bNm3iP//5D+7u7qp+dm7cuEFWVhZnzpxRsu1bWVnh6upqlDQvNzeXLVu2sHbtWr7//ntatGhRr3XR6XR8+umnnDhxgtjYWCwtLWncuDGVlZW4u7szcOBAxo4di5eXl/IdvV7Pvn37WLt2LVevXsXd3Z2pU6cyfPhwLC0t67Uet6O6s1RRUUFSUhKNGjVSzmXKJeNkkpOT2bx5MytWrODf//43M2bMUP0809DH062QdamsrKSsrIykpCSsra1p27YtZmZm2NjYKH2uqKggMTGRvXv3smXLFn7++WdV6BIREcFrr71Gbm6ukuG8Ol5eXgwePJjhw4fTqVMn5fMrV65w+PBhMjIylPJpjRs3rs2m1yrCn7kzwp8xjZh//3dEUEDwj0SSJBYtWsTatWvR6/X4+/uTl5fHlStXgCoHdOnSpfTq1avGd0tLS0lISKC0tBRHR0c6deqkagMBEB8fzzvvvMPFixexsbHBycmJwMBA+vXrR8+ePW+ZDb2hREUNBgNxcXG8//77XLx4UUnKY29vj4eHB926dWPEiBFG5S0bChcvXuTjjz8mJiaGgoICAJycnPD19aV3796MHDlSldt3CwsLWbhwIZs3bwaqaqcbDAYaNWrE9evXFS0AfHx8mD59OiNGjDA6t3rt2jXF4WgI3LhxgzVr1rBnzx7S0tLIz8+nVatW+Pv7K1swW7RoUeN7DWWegYY7nu5Eeno6K1asYO/evVRWVlJQUICrqys9e/Zk8ODBDBs2rMZ3ysrKsLW1rffPT2RkJC+//DJ5eXkEBQURHByMXq9Hp9Nx/vx5jh8/rtgkgJCQEGbNmkX//v0b5AuK8Gduj/Bnbo2Yf/83RFBA8I9k//79PP3003h6evL888/TrVs33NzcOHbsGMuXLyc6Ohpvb2++/PLLO1YUUKuhkCOamZmZPPfcc5w+fRqAJk2aUFBQgCRJ2NjY0KZNG3r16kW/fv3o2rVrg9puKO8kCQ8PZ+HChSQnJ+Pq6kpwcDAXLlwgOztb2VbXunVrHnnkEaZNmwZU6avWBGmyLpGRkXz00UfEx8dja2tLQEAAV65c4erVq8q9Xl5ePPPMM4wcORKDwaAaXdasWcOiRYvo1q0bTzzxBP379ycrK4uMjAyys7O5ePEiUVFRHD9+nNLSUgA6duzIAw88wKhRo1RbdvDPyPNnbm4uS5cuZd26dUDVeMnNzaW4uFi5NyAggNmzZzNs2DB0Oh2SJKniWbkTYjyZRtYlOjqaZcuWceLECaBKg+LiYjIzM5V7AwICmDt3Ln379lWdzX7yySc5ePAgb7/9NlOmTFEWKcrKyqisrCQnJ4eoqCh27txptKV5zJgxPPfcc7Ru3bquml5rCH/mzgh/xjRi/r13iKCA4B/J7NmziYiI4NNPP1VWEGSjsWvXLl5//XXKysqYO3cuc+fONfquPEFkZmZiaWmp2myr8hY5ORlRaGgo06dPp1GjRmzYsIEdO3bg6OioREtdXFxo1aoVQUFBNG/enHHjxql6GyLcfKF5+OGHOXbsGM899xwjR46kbdu2QNUW50OHDrFx40YSExMBWLZsGcOHD6/LZt93ZF3kcTZz5kzGjh1L27ZtcXBwICEhgbCwMNatW0dubi6urq4sX76cwMDAum76PWPUqFFcu3aNH3/8EV9f3xovIhUVFRQWFnLhwgXCw8M5cOAAFy5coHnz5jz99NNMnTq1Dltfe8jzzKpVq/jPf/5DQEAA06ZNIyAggObNmxMXF0dYWBhbtmyhrKwMa2trPvvsM/r161fXTa81xHgyjazL008/zf79+xk1ahSTJk2iefPmODs7c/HiRTZv3sz27dspKSnBz8+PpUuXqqp0cH5+Pr169aJjx478+uuvWFlZ3XJ7e0VFBadPn2bHjh3s3buX7OxsRowYwauvvqr61U3hz9wZ4c+YRsy/9xBJIPiHkZ+fL/n5+UkjRoyQysvLJUmSJIPBYHTPkiVLJK1WK/Xr109KTk6u8RulpaXSww8/LD399NNSRUVFbTS7zhgwYIDk6+srJSQkKJ8tWrRICggIkD799FNp0aJFUs+ePSWtVit17NhR0mq1klarrcMW1w7yM3P58mVJq9VKDz74oHJNr9fXuH/FihWSVquVRo8eLV2+fLnW2lnbyLqkpqZKWq1WmjZt2i3vLS4ult59911Jq9VKDzzwgJSTk1NbzbyvJCcnS1qtVpo6daokScbzy5/nGkmSpIKCAunIkSPS66+/royf1atX11Zz/xEMHjxY6ty5s3Tu3DmT1wsKCqQPPvhA0mq10tChQ1U9hqojxpNpZF1SUlIkrVYrTZw48Zb3XrhwQXrqqackrVYrPf3001JZWVltNfO+c/jwYUmr1Urz5s2TJElSfJrbkZOTI23cuFEKDQ2VtFqt9P7770uSZHpuUhvCnzGN8GdMI+bfe0vDO6wk+McTFxdHZWUlbdq0UbJ7yyt4kiQhSRKPPfYYLVq0ICMjg4MHDyrflRP4REVFERkZSV5enpL8S03I/Tl9+jTp6ekMHjwYrVaL9P83/qSlpWFhYcGMGTN47bXXeO2117Czs6NJkyYMGTKEefPmAVVlkdSK/MzExcUBKPknKisrlXOaBoNBqRM9adIkunfvzvnz55VSPpKKN1LJGb4HDhwIGD8LBoMBnU6HnZ0djzzyCD4+PsTExCi61HdKSkpo3LixcgSg+g4BU9uWGzduTM+ePXnzzTd58803sbKy4scff+TSpUu11ua6QH7+z58/T1paGiEhIXTs2NFoPtXr9ej1eho3bszs2bMJDQ0lNTWV48ePG/2G2mnI4+l2yM/ByJEjgarVcBmDwYAkSXh5efH888/j6enJvn37jOrR13datGiBra0t6enplJaW3lX+ERcXFyZMmMCqVatwc3Pjxx9/JCEhQVVHKqoj/Jk7I/yZ2yPm33uDCAoI/nE4Oztjb29PXl4excXFRkZUo9EgSRKOjo7KsYLff/9dKUkjT5z79+8Hqo4hgPomQ7mf8kTYvXt35fP09HSuX7+uZF01MzNj3LhxBAYGkp+fz4IFC5gzZw6A6hMwAnTo0AEzMzPFWFbHzMwMc3NzpbLFxIkTgaqXIDD9gljfkfvUpk0bAJNOqpmZmfJseHh4MHr0aAAuXLhQS628v3h6etKyZUsiIiLYunUrYOxQmUKSJOzs7Jg5cybdu3fn6tWryhZNtSI/K3KyLznJolznGcDc3Fw51+vm5sYDDzwAQEpKCgaDQZVjqDpiPJlG1sXV1RVA2dpd/XmoXmO9U6dODBo0CI1Go6qgQPPmzQkMDOTkyZN8/vnnyvZ3+TyzKaT/XwJVq9XSv39/LCwsOHv2bG02u1YR/szdI/wZY8T8e28RQQHBP47mzZvj5OREbGwsa9eu5caNG0bX5ajokCFDsLW1JTU1lWPHjgFVE0ROTg4RERHY2toyePBgANUlo5EnQtkwODk5KdcyMzPJyMhQDKu8MtO/f390Op0Saa7+O2pD1iUzM5NLly4REBDA9u3bqaioMJlURr6/usNW/f9qQe5nfn4+5ubmdO7cmbCwMACTusgvf7IOcvCtvutiZ2fHuHHjAFi9ejXHjh1THCq46ZRXR6PRKHpMmjQJQEmGpXasrKzo1q0bJ06coKioyKTjJT9bbm5uQFW2ebVnThfjyTRyf8rLy/Hx8SEgIIA//vgDuL0uDg4OSJJEXl4eoI5gvq2tLTNnzsTc3JyNGzfy3XffkZ+fj5mZmTI+9Hq90TMgL34AtGvXDp1OR35+PqAOTf6M8Gduj/BnTCPm33uPui22oN5hMBhwdnbmgQceQKPRsHr1atasWWNUrkema9eutG/fHp1Ox/79+xVjeeTIEVJTU5XkKtVXtdSC3Fc5K/G3337LtWvXgKpSa/n5+Xh7e6PX65XJUd4qJRtVNToXf+aDDz7gueeeIzs7m9TUVObNm8e5c+dqPBPyy6Cc+bl379613tba5N///jcPPPAAubm5nDp1igULFhhl6JWRnVY5a3hISEittvN+Mn36dMaOHUt8fDwPP/wwL7zwAuHh4cpxpepbMv/sVMnHBuSEaLfbYVBfkfu0detWxo0bR35+PhkZGSxcuFApDWvq/iNHjgBV2eSrf65mxHgyRh4nzz33HMOGDSM3N5cDBw7w1VdfKdUqqtsfef49efIkAEFBQTXuqc8MGjSIV155hYKCAr755hv69evHe++9p/TX3NzcKEAgfwZVRyEBgoODAfVoUh3hz9wdwp8xjZh/7x3q32sjqFfIg3bChAmcO3eObdu2cfDgQUaMGIGdnV2N+x966CFeffVVtm/fzosvvoizszP79u0DULKDqzF6LPfJx8eHwMBAYmNj2bVrF4888gjZ2dnodDp0Op3RDokzZ85gZmZG165d66rZtYa8hc7a2hpXV1dycnIwNzfnwIED3Lhxg+HDh+Pn54ezszPu7u7k5eWxZs0aDh8+TK9evdBqtQCqW+mUn4fCwkL0ej1paWkAbN++ncrKSkaPHk3Hjh2xtLTE3t6eyspKfv75Zw4ePEj37t3p0KEDUP91kf5/easXXngBc3Nztm7dyq5du4iKiqJr166EhIQo/a3eVysrK3Jzc5UjB/JOpPquhynkZyUyMpL8/Hyio6PRaDTs2rULa2trxo0bh1arxdLSEisrK6ysrIiPj+f777/H1taWESNGAOrURkaMJ9PIW3WTk5O5ceOGEkT69ddfqaioYOLEiUYVBjQaDevWrePgwYMEBgbi7e0NqEuXRx55hBYtWrB69WpOnjzJzz//zJYtW/D396d379706dMHb29vzM3NMRgM3Lhxg61bt/LHH3/g7e2Nv78/oC5NZIQ/c3uEP2MaMf/ee0RJQsE/mv/+97+0bNmSoKAgky/3aWlpPPzww6SnpzNv3jwmTZrE2LFjsbS05MCBA7Xf4FpALrkos2nTJhYtWsSPP/5Ix44d+eKLL/j888+ZNGkSCxcuBKp0fP311+nZsyerV69WyjuqCalaSbnqf7548SIHDx4kIiKChIQEcnJygKp6ta1bt+b69esUFxeTmprKhAkTePHFF3F3d1ecEDUElWQ9qv+7nz17lm3btrF//36jM7yBgYF06tSJ69evc+3aNRISEhg4cCAvvfQSXl5eqtIFqnYS7dixg+3bt3Py5EkKCwuxtbWlefPmtG3bFn9/f2VFITY2lr179xIVFcW4ceP48MMPVTmWwHieOXLkCNu2bSM8PJzr168DVXkGevToQWBgICUlJWRkZBAeHo6trS2vvPIKI0eORK/XG50bVwPV55bqGonxZHqeiY6O5rfffmPXrl2Ul5cr9/bp04egoCByc3OJj48nLi4OPz8/Xn75ZTp37nzLsn31jT/PDykpKezfv58DBw6QkJCgbPHWaDS0adOGkJAQysvLSUpK4uzZs7i6uvLKK68wbty4GrZfDQh/xjTCn7k1wp+5f4iggOAfSfXBXn1CNMXixYv5/vvv8fLyIjAwkA0bNvDkk0/y0ksvqcaxACguLlaypf+ZoqIiJQnYxYsXGT9+PJWVlfj4+ODh4UFkZCQFBQUsX76cwYMHq9K5ALh27RpNmjRRnpfq58okSSI2NpZDhw5x5MgREhMTjfJVtGnThgkTJhAcHEz79u1VX/NYRpIkIiIiCAsL4+DBg2RnZwM3z7W2bduWJ598ksDAQJo3b461tXUdt/h/w5QDqdfruXjxIidOnODYsWMkJSWRmZmpnDkEsLe3V7Y+T5gwgSeeeIJ27dqpbixVVlaaPI8JVXPQgQMHCAsL48iRI4o+5ubm6PV6XFxceOSRRxg1ahTNmzdXnaMuU1BQQOPGjU3apYY2nu4Wg8HA3r17Wb9+PYcOHVI+t7CwQKfT0a5dO9588018fX1xdHSsw5bee/7sh1RUVJCamsqZM2eIi4sjMTGRCxcuGAUIJElCq9Xyyiuv0KNHDywtLe/oC9UnhD9zZ4Q/89cR8+//hggKCP4x/F2Dl5SUxIMPPkhxcTGOjo4UFBSwe/duWrdurYoIclFRET/88ANxcXEkJSUxf/58+vbti5mZmckoZ0VFBZ988gmbNm2isLAQAGtrax544AFefvll1QRJqnP27FnWrVtHdHQ0aWlpBAcHM2DAACZNmoSVlVWN56CkpIQTJ05w4MABYmJiSE9Pp7i4mEaNGuHh4YGfnx+BgYH4+/vj6emJjY1NHfbu71NQUMCxY8dIS0ujqKgIb29vevbsiYuLS42zq1C1DW/fvn3s3LmTqKgo5SXYxcWFjh07EhQUREBAAO3atcPNze2WL4//dNLS0igrKyMnJ4dWrVoZbWUuKioiISGBxMRErl69SkZGBmfPnsXOzo4OHTrQuXNnJk6cWG+fiVtRXl7O+vXrOX/+PElJSTz//PPKDonKykqjc88AV69eZe/evezcuZOzZ88qZ3tbtGiBv78/Xbp0wc/PD09PTyPHtj6TnJzM9u3bOXXqFBcuXKBz586MGTOGQYMGATVf/oqKiti/fz87duxQ9XgqLy/nzJkzXLlyBZ1Oh4eHB/7+/jRq1Eg571xdl/z8fLZt28aGDRs4d+6c8nnz5s0JCgoiNDQUf39/3N3dsbOzq5fPTllZGXFxcZw4cYKSkhLy8/Np3749Xbt2xcPDAxcXF6Dq5TgzM5OioiLy8vKIi4ujadOmtG3blrZt2yqJO9WC8GfujPBnTCP8mfuPCAoI/lHIdYv/atT3+++/Z/HixUDVubSNGzeqIqoeHR3Nt99+q5RYtLCw4O2332bKlCnKPRUVFVhZWVFcXIyNjQ0WFhaUl5ezceNGzp07R1FREV27dmXmzJlKtLS+61KdPXv2sHz5chITE7GxsTGKlnt7e/POO+/QtWtXJElS+l69/5mZmYSHhxMeHk5sbKyS4KhJkya4uLjw4IMPKmXW6hNJSUl88MEHHD16FKhaZWjSpAmTJ09m7ty5Ne7/82pLWloau3btYs+ePZw6dUr5vFWrVrRt25Zp06YpZ+rrC2FhYWzatImIiAhllaqkpARPT0+GDh1Kv3796Ny5s3K/XBLVysqKvLw8nJ2dlWtqGkdnz57lu+++Y/v27QA0atSIf//730qVBbi5w8LUHB0fH8/27dvZv3+/koQRoH379vj7+xMcHMyECRNqr0P3gaNHj7J06VKTFSd69erFm2++Sbt27YCqsVQ9WSVUjaedO3eyd+9e1YwnqAoOLVy4kMOHD1NZWYmtrS2enp48+OCDTJky5Y6B+UuXLrFhwwa2bt2qHE0BjAJwXbp0qY2u3DOSk5NZuHAhERERJhPg+fj4EBISQmhoKIGBgSbzJakR4c/cGeHPmEb4M7WDCAoI/hFs27aN7t274+7urnxmyrG6Hd988w3Lli3jrbfe4sEHH1TF0YHZs2cTERFBly5d6NOnD126dKFt27Y0a9aMa9euERMTw65du7h+/Trt2rWjVatWdO3alW7dumFpaUlBQYHRVky1GdCcnBymT59OWloao0aNYtiwYTRr1oyDBw/y+++/k5WVxaBBg1i4cKFRmSOoaTSgaqvi4cOHOXz4MElJSWRlZbFs2TKlkkV9ITc3lzlz5hAXF0fbtm1p3rw5paWlxMbGArB06VJGjBhBWloa4eHhFBQU0KxZM1q1akWnTp1qOKlxcXHKC418Xk/+jfrCV199xZo1a5SXe2traxwdHbly5YpRdZPAwEDGjh3L5MmTa5TeU9v4kXnqqac4cOAA3t7edO3alaCgILp160aLFi3Iz8/n7NmzhIeHc+HCBXx8fGjXrh1+fn60bdu2xvx85MgRduzYwcGDB8nKygIwOg9cH8nJyWHWrFlcvHiRPn360KdPH5o2bUpUVBTbtm2jpKSEcePG8dZbb2FlZWV0Flh+Ka7+3KhhPEHVPPPCCy9w4sQJXF1dcXNzIycnR3m5/+677+jVqxc5OTmcPHmSrKwsOnTogLu7O61atarxe1FRUWzYsEEptwb1T5eioiKeeOIJTp06haenJyEhITRu3Bhzc3POnDlDeHi4EiiwsLAgJCSEqVOnMnTo0Dpu+f1H+DO3R/gzphH+TC0iCQR1TG5urqTVaiWtVis99NBD0ubNm6UbN24Y3aPT6SS9Xn/H3/npp5+ksrIySZIkyWAw3Lc21wZnz56VtFqtNG7cOKmkpMTo2uXLl6VHH31U0U3+r1OnTtLYsWOlNWvWKPdWVlbWdtNrjW+++UbSarXSW2+9VePa+vXrFV1Wr15d47r8fJSVlSnPTPVrUVFR0ueff14vn6OVK1dKWq1WevHFF6WrV69KkiRJ2dnZ0vLlyyV/f3/pxRdflDZt2iQFBwcbPT+jR4+WVqxYoTwz5eXlRr+r1+ulgwcPSm+99Va90iUhIUHy8fGRgoODpe+//14qKyuTrly5Ip07d046fvy49OOPP0qPP/641LFjR0WLHj16SF999ZV0/fp1SZKq5iA1Is8zI0eOVPoq/9vm5ORIc+fOrTHP+Pr6SjNnzpTCwsKU3/nzPFNUVCRt27ZNmjlzpnTy5Mla68/9YMWKFZJWq5Vef/11IztUXFwsff7554ou27dvv+VvmBov9XU8yaxatUrSarXSU089JZ07d06SJElKT0+X3n//fcnPz096++23pX379kn9+vWT/Pz8FJ2mTJkirV+/XpKkKg1MzTM7duyQnnzyyXqny5o1a5S5Nzc3V5Kkqv7I4yMnJ0fasGGDNGPGDKMxNW3aNOno0aOSJNV/38UUwp+5M8KfMY3wZ2oPsVNAUKdIkkRZWRmvv/46u3fvVj63tLRkxIgRTJo0iR49ehjdb2rlRY0sXbqUb775hnfeeYdp06Yp2+qysrJ455132Lt3L23atGHgwIG0a9eOmJgYYmJilPq9U6ZMYf78+ao+JzV27FguX77Mr7/+SseOHWtkO1+yZAkrVqygadOm/Pzzz0Znx2VWrVpFWVkZDz/8MA4ODqrIQzFmzBjS0tL47bff0Gq1yq6Z8vJyHnvsMWJiYmjevDl5eXn07dsXSZKIiYlRkvI8+OCDzJ8/X/m9v3us55/C+++/z08//cRbb73FjBkzTK4w6fV6Ll26pJyTT0xMxMrKilmzZjFv3rx6/0zcio8//phvv/22xjyTnZ3NBx98wPbt22nevDkBAQH4+Phw/Phxjh49qtSinzdvHnPmzFF+76/u8KoPjB49mitXrijj6c+rcm+99Rbr1q3D09OT33//3WRSr59//hkbGxvGjBmjfLe+jieZUaNGcfXqVaP519zcnJycHB5++GGuXr1K06ZNSUtLw9/fH3t7e6V2OsCrr77KY489pvzd1Lng+sbkyZNJTEzkl19+wc/PTxlPUHNl++LFi6xfv56wsDAyMjIICQlh/vz5tGvXTnWr4MKfuTPCnzGN8GdqkToKRggERpw5c0YKDQ2VtFqt1LdvX6NoX+/evaWPPvpISkpKMvqOXq83Wr27006C+sa8efMkrVar9LuiokKSJEnatGmTpNVqpSeffFK6dOmS0Xfy8vKklStXSiEhIVLXrl2lnTt31nq7a4vLly9LgYGB0uDBg295T2pqqjR48GBJq9VK3333nSRJVVFzOSqcnp4uBQcHSx07dqzx3fq6Mnz58mWpc+fO0tChQyVJurmCIEfLH3vsMWV178SJE8r3ysvLpTVr1kjBwcFSSEiIdOTIEZO/Xx91GT16tOTn56eshN9urjAYDNKFCxek5cuXS71795a0Wq300ksv1VZTa51nnnlG0mq1UnJysiRJNeeZhx9+WDp9+rTRd65fvy795z//kbp06SL16NFDioyMrPG7BoNBFat6qampkq+vrzR8+PAa1+SxVd1+bdiwocb19PR0qVu3bpJWq63xG/VxPEmSJKWkpEg+Pj7SqFGjJEmqOc/MmjVL0mq10syZM6WDBw9KRUVFkiRJUkFBgbRkyRIpICBA6tevn3T27FmTv18fn53MzEypd+/eUv/+/SVJuvWKv06nU67p9Xrp+PHj0sMPP6yspNfXZ+J2CH/m9gh/xjTCn6ld6nf4SKAa/Pz8CA0NBWD8+PF8/PHHTJgwgWbNmpGVlcWqVasYM2YM48aN4/vvvyc7OxszMzMl0ievMKgJOQp87Ngx4GY5mjNnzgDw7LPP0rZtW6AqO7gkSTg5OfH4448zceJESkpK2Lp1ax20vHYoKyvD0dERR0dHo2Q81WndujXdu3cHYOvWrRQUFKDRaJTn5ciRIxQUFDBjxgwAJVM21N/VKr1ej6urKwaDgczMTKWer4WFBfn5+SQnJ2Ntbc0777xDUFAQUNVvKysrHnroIQYMGEBeXh7R0dEAyoqwTH3TJT8/Hzs7O6OzqLdbOdFoNHh5efHwww/z8ssv4+joyIEDB4zKqKkFSZJo0aIFUHXOEm7OMzExMUDVTgB/f3+gap4xGAy4ubnxzDPPMHjwYCWT/J/RaDT1PqcLQF5eHg4ODri6uta4Jq/g+fn5ERAQAFTNM+Xl5cDNsXPkyBGKi4uZOXMmoI55prS0FGdnZ6ysrCgtLTWaZ/Ly8rh8+TLW1tZ88MEH9O3bF3t7e3Q6HY0bN+axxx6jZ8+eZGRkEBUVBVAjIV99fHbs7e1p2bIlJSUlJCQk3HKlv3qGfTMzM7p3787ChQvp2rUrCQkJbNq0qTabXSsIf+b2CH/GNMKfqV1EUEBQ58gTmlzW6dSpU4wePZrXX3+dr7/+mrfffpuBAwdiZ2dHYmIiixcvpnfv3syePVtJSPTncllqoHnz5gDs2LFDKcVTWVlJRUUFbm5u+Pr6KvdaWloqkyXAo48+iru7O5mZmWRmZtZ+42uB1q1bY2dnR1xcHFu2bLnlfXKm3aSkJKX8lexwylmQJ0+eDNz+ZbG+0KJFC5o0aUJaWhrff/89WVlZmJmZUVJSwurVq0lPT2fIkCE0bdrUZLmwadOmodFouHbtGuXl5fVeEycnJ7y8vMjOzmbdunVK1uY7BRLt7e0ZN24cM2bMoLS0lMOHDwM1X17qMxqNRknuWj25W2lpKSUlJTRr1oyAgAClz5aWlpiZmSFJEo0aNeLJJ5/E0dGR1NRUZY5SG+3ataNRo0ZERUWxZ88eoKZjCfDQQw8BEBsbS3JystH2VDXOM23atMHZ2Zn4+Hh+/PFHCgoKlH798ssvXLt2jSFDhtCqVasa84yjoyNTp04FID09HZ1Op4qt8o0aNSIwMJDCwkK++OIL0tLSlPnG1DNTnZYtWzJmzBgAEhMT73h/fUP4M7dH+DOmEf5M7SLUEdQ55ubmSJKEv78/rq6uZGZmcu3aNRwdHenYsSNTpkzh/fffZ8WKFbz44ot069YNgIiICP71r3/Ro0cPnn32WaUGqVqYNGkSPj4+xMTEMH/+fNLT07G0tMTBwYHc3FySk5MB45cUecJzdHREkiRycnJo1KhRnbT/fmNtbc2AAQMA+PHHH9m5c2eNFz29Xo+/vz+9evVCp9MZrTQkJSVx/PhxWrduTceOHQF1GFErKyulxNPq1at57rnneOqpp5g9ezbff/89cHPVpnp/q5/nlSSJoqIirK2ta7fx9wm5HN6qVav47bff0Gg0ygubwWAw6YDLn02ZMgVzc3MSExMpKytTxctLdaZMmYKbmxv79+9n6dKlygu/nZ0dxcXFZGRk3LLPHh4emJubK46aGrG1tSUoKAhJkvj55585ffp0jb5KkqTUvC4rK2Pz5s2KZmqdZxo1aqRkMV+xYgXvvvsub7/9Nk899RQrV64EoFOnToDpeUYu75mVlVUvdwXciunTp9OoUSP27NnDl19+yYULF4xybOj1+hrzjfz3wMBAAK5cuaKKZ6Q6wp+5PcKfMY3wZ2qX+v/ECFSBRqPBzc0NV1dXkpOTle2XUBX1c3FxoVu3bjz22GN88sknfPPNNzz66KN06NCBsrIy/vjjD6XuuBqQJAkLCwv+7//+j44dO7Jz505effVV9u7dy+DBg3FwcOD48eMARg67vNJ34sQJrl+/jpeXl5JsRm1oNBoeeeQR+vXrx/nz5/noo49ISEgwukd+8Rs5ciRQtUpx5coVAA4ePEhhYSETJ04EjLfa1XcmT57Mq6++SuvWrTl79iwHDhwgNjaWLl26EBgYyMmTJ5UkRrLxrL7VGaBr166AOo7mBAUF8fLLL1NRUcGCBQuYM2eOkvDMzMzMpMMuPw8pKSno9XocHR2xtbVV1U4BSZJwdHTk7bffpkWLFqxevZqnnnqKyMhIJWGTvO2yer8rKyuBqrrjubm5tGnTBnt7e1XOMxYWFsyZMwcvLy8iIyN58cUXiY+PN7pHo9FgaWmp7Hbbtm0bubm5ABw6dEi188zs2bN56KGH0Gg07Nixg99++40DBw7Qrl07OnTowKlTp5RnQv6//BzJ28jlYxdqmGcAPD09+frrr2nVqhWbNm1i8uTJvPXWW8rxHHlXY/XxJD8T8tyrNk2EP3NnhD9za4Q/U3uoJzwrqPcYDAaefPJJjh49qhiDP2NlZUWzZs1o1qwZwcHBTJ8+nRMnTijnheWspPUd2TB2796dZ599lg8//JCoqCiioqJwd3ensLCQZcuWYWdnR//+/WnUqBEWFhZYWVmRmZnJN998A1TlZwB1bXmWMRgMuLq68sYbb2BnZ4eXlxetW7cGamZ57tGjB66uruTm5rJ9+3aefPJJ5Yy4vIqstrNlU6ZMwcPDg7Nnz2Jvb4+npye9e/fmjTfeYMeOHWzevJmJEycq/ba0tCQrK4uff/4ZuOl4qGG1AapWqjIzM/nxxx85dOgQhw4dolu3bgwaNIh+/frh5eVl9AzIGcM3bNgAwODBg4Gq504tz4o8Rvr160d6ejrLli3j4MGDHDp0CF9fX8rKyvj8889p1qyZskMLqrQpLi5m1apVQFV2flDvPOPl5cUnn3zCJ598QufOnWnVqhVwc56R/9+3b1++/vpr8vLy2Lt3L1OnTuXgwYOA+uYZSZKwsbFhzpw5SrZ4Z2dnfHx8CAkJYcGCBezevZsTJ04YVRCysLCgsLCQdevWASi1wdUyzxgMBrp168abb77Jl19+yenTp1m3bh3r1q3D39+f4cOHM2zYMOUZ0uv1WFlZceLECVavXg1UZaEHVLMrSfgzd0b4M7dH+DO1gyhJKPjHUV5ejk6nw87O7q7uNxgMaDQa1RhQU5SUlPDzzz+zceNGUlJSlM+dnJzo06cP/v7+lJaWUlxczObNm8nOzqZPnz58+eWXqgiS3A3l5eW33R727rvvsnbtWoKCgpg+fTqvvfYaAQEB/PLLL6oo23O3/PLLL7zzzjvY2toydepUxo0bh4ODA4cPH2b79u1ER0czZcoU3nvvPVXqEh0dzbp16wgPD1dKFrm4uKDVaunVqxehoaGUl5eTnp7OgQMH2Lp1K+3ateO///2vEihQK+np6axevZpdu3Zx/fp15XNXV1eGDx9OSEgIxcXFZGVlsXXrVs6fP09QUBDfffedqkuFychH1G61K02v1/PKK6+wY8cO+vfvz5QpU5g7dy6BgYENYp6p/vLy5Zdf8tlnn+Ho6Mijjz7KkCFDaN68OYcOHWLTpk0cPHiQ8ePHs3jxYtXqYjAY2LlzJ2FhYRw/fpyCggLlWseOHenevTs3btxQEi7q9XqmTp3Km2++qbqShNUR/sydEf7M3dHQ/Zl7jQgKCP4xyI+iWg3h30FOUiRPZAkJCURGRhIeHk5cXBz5+fnKvfKKFcDQoUN5+eWXad26teonwrvtX0JCAlOnTqWiooKmTZty/fp1Fi5cyKRJk1Szw6Q61cdTdQczNzeXV199lfDwcOVeFxcXZbvzhAkTmDNnDm3btlXVs1M9eJiRkUFMTAzHjh0jLi6OlJQUSkpKlHubNGlCTk4OAD4+Prz00kv06dNHVXpUp/o8U1BQwMmTJzl69CjR0dGkpqZSVFSk3NuoUSNKS0sB6NOnD6+88godOnRQrTZ/lYMHD/Lkk08CVcn4UlNTVT/PVLdRMmlpabz00kvKtnmNRkPTpk3Jzc2lsrKSoUOHMnfuXDp06IBer1fdyqbcJ71eT0ZGBgkJCZw+fZpTp05x6tQpysrKgKqVS4PBgKOjI3PmzGHKlCk0btxYleNJ+DN3RvgzphH+TO0gggICQT2jvLyczMxMrl69yoULFzhz5gxxcXG0aNECR0dHxowZQ/fu3e96p0V9Q87kbGZm9pcDSCtWrGDJkiVA1TbW6Oho1SSf+Su66PV61q9fz/79+4mNjSU/P58uXboQFBTEs88+i42NTS21um4pLCwkJSWF5ORkUlJSuHjxIjExMTg5OeHm5ka3bt0YN26cksioIVFUVMT58+e5dOkSycnJXLp0idjYWJo0aYK7uzsjRoxg0KBBSsI4tfG/zDPvvfeesm3V3NycmJiYBjnPZGdns2bNGo4ePUpycjLFxcW0bduWwMBA3njjDRwcHGqp1f8MSktLKSwspKioiJSUFE6fPo2TkxMtWrTAz8+vQc4zwp8R/owphD9TN4iggECgEvLz83FycqrrZtxXcnJyaNKkifJ3g8FgVPrrdkiSRF5eHu+//z47duxg8ODBLF++XBWrVH9FF7m/FRUVXL9+HSsrKwoKCmjSpAkuLi5AzTOMasNU/yoqKpTjAdeuXVNKaDU0TGlTWlqqJFnMzMxUvTYFBQVKnhq4+3lG1i4tLY0FCxYQERHB0KFD+eyzz1Qxz/wVXWSHvqioSCnRqNPpcHV1pU2bNkb3CAR/Rvgzt0f4M1UIf+beIoICAkE9p7oRUPvk17NnT+zs7HjwwQcZPXo0TZs2Va7p9Xqj0k+3Iisri88//5yJEycSGBioCiN6L3RpqFQfM9VfUtQ+lu6G6hrc6s9qZMSIEbi4uDBhwgQGDx5s9HJyt+MpISGBxYsX88wzzxAcHKyKeeZe6CKoQs6W/uft0A0d4c9UIfwZ4c/UBSIoIBAI6gVFRUU8+uijyhlVgJCQEKZMmcLgwYONts3dynDIToaaztzdC10EAkEVubm5TJgwgczMTKAq+Vnv3r0ZM2YMvXv3NnK47zSequ8+qe/cC13U/pInENwtwp8xjfBn6hYRFBAIBPWG2NhYXnjhBTIzM40SEVlaWjJixAgmTpxISEiI0Xeqr8iAOh3Te6GLQNDQkeeGP/74g1dffZWSkhKj8dSqVSsGDx7MyJEjlVryMn8eT2raGn8vdREIBFUIf8Y0wp+pO0RQQCAQ1AvkaPgrr7zC1q1bGT9+PC4uLhw+fJjz588r97m5uTF27FjGjx+Pt7e38vlfOa9XnxC6CAT3Dnn77eOPP054eDjDhg3D2tqaqKgo0tPTlft8fX0ZPnw4w4cPN0oQp9bxJHQRCO4dwm6bRuhSt4iggEAgqBfIK29yyS8fHx/Wrl1LZmYmcXFxhIeHc/ToUTIyMpTvaLVaJkyYwOjRo3F1da3D1t8/hC4Cwb1DHk+bN2/mtddeIygoiGXLlnHhwgVOnz5NdHQ0p0+fJi8vD6jK+h0SEsKoUaMYOHCgUSI+NSF0EQjuHcJum0boUreIoIBAIKhXXL16lQceeAB7e3t++OEH3NzckCSJ4uJirl69ysmTJzl8+DDHjh0zqj3ft29fhg0bxoQJE5R69WpC6CIQ3DsuXLjAlClT8PLy4scff8TW1lYpn3b+/HlOnTpFVFQU8fHx3LhxAwBHR0cGDhzIwIEDGTJkiCq39gpdBIJ7h7DbphG61A0iKCAQCOoNsjM5Y8YMoqOjWb16NT179jS6R6/XU1BQQHJyMidOnODw4cNER0cr1w8fPoybm1ttN/2+InQRCO4d8niaNGkSZ8+e5ddffyUwMNDoHtk5TUxMJCYmhpiYGJKSkpTrR44cUUpiqQWhi0Bw7xB22zRCl7pDHekqBYIGTkNZeZEz7Q4ZMoSKigpsbW1r3GNubo6LiwsuLi74+/szfvx4EhMT2b9/P2VlZbi5uamibE91hC4Cwb1Do9FQWVlJt27dyMnJMSpTKV+3t7dHq9Wi1Wrp3bs3aWlpxMfHc+jQIaysrHBxcVFVskEQughqB+HP3KQh2m2hS90hdgoIBIJ6yYULF7CysqJ169Z3dX9paSkGgwF7e3tVO6VCF4Hg3iBJEmfOnMHOzg4vL6873q/T6bh+/TqWlpa4ubmpdjwJXQSCe4uw26YRutQuIiggEPxD+DvR8fLyci5cuIC7u7uSYKWhRNkFgntJRUUFeXl5ODk5KbWQxViqoiFqo/b+/V2ELlXIOkiShCRJf+nlIy0tjaioKDp16kSbNm2wtbVV3QuM8GcEgvqHemYgwT8eOf4kSRIGg+EvfTctLY1NmzaRkJBAWVkZwF/+jX861evO3i0HDhzghRdeYPny5ezevRuDwSAMqEDw//krY2n//v088cQTrFy5krNnzwKoeiwJbW6P2vv3dxG6VCHroNFo/vLL/Hfffcf//d//8c477/Dll19SUFCgqoAACH9GIKiPiJwCglqjuhH9qxP9d999xy+//EKXLl0ICgri8ccfr9cljuTod3l5OXl5eVy5cgWAgIAArKys7vo3du/ezZUrV9i5cyfr1q1j2LBhvPvuu9jb29/P5gsE/xjksWQwGCgpKSEvL4+ysjK8vLywsLg7EyePpaSkJC5fvszy5cuZNWsW8+bNw8bG5j734P4htBEI7j3nz5/n7NmzpKenY21tTWhoKB07djS6p/oKd/U/l5eXK+XUmjVrxtatWzl+/DhffPFFvS2nJvwZgUAdiKCAoFYQRtQYjUbDtWvXWL58OWFhYVhbW2NmZkZAQAAvvPBCDW1u9Rtz5szB1dWVuXPnUlhYyIQJE4iMjGTw4MFi252gQaDRaMjPz+e7775j48aN2NjY0LhxY7p27cpTTz11V3OEwWBg7NixaDQaXnnlFVJTU3nxxRcZOHAgISEh9XYsCW0EgnvHjRs32Lt3Lx9++CFZWVnKAsf27duZP3++USWG6mOi+p+tra355JNPiI+PJygoiPz8fAYPHsyFCxeEPyP8GYGgThE5BQT3lVsZ0Y4dO9YworejtLS0hhFdvnw5ISEh97cD94mEhAQWL15MZGQkFhYWNG7cGL1eT1FREaGhoSxZsgQHBweKiorIycmhsrISnU6Hh4cH9vb2NQykPIyXLVtGUFAQffr0qauuCQS1yoULF1i6dCl//PEHZmZmGAwGZRV82LBhLFy4EBsbG/R6PdnZ2VhbW1NeXo6zszNWVlbKWV5Jkrhx44ZSd/29995j6NCh9O3bt457+PcR2ggE945ff/2VJUuWUFhYSEBAAHZ2duTk5JCUlESnTp346aefsLa25syZM5w+fRobGxscHBzQarV4eXkZVWmAqrJqGo2GyMhIvLy8cHd3r8vu/W2EPyMQqAMRFBDcV4QRNc0bb7zBxo0bGTZsGDNmzMDOzo7Tp0/z5ZdfkpWVxcqVKzEzM+Obb77h+PHjNGnShFatWtGtWzdmzJhBy5Yt67oLAsE/gvnz5/P7778TEhLCgw8+iIODA5GRkaxatQozMzPWrl2LXq9n1apVHD58GCcnJzp16kRoaCjTpk2762309RGhjUBw7xg2bBipqal88MEHjBkzhsrKSk6dOsXixYu5fPky//d//8eFCxf48ccflZxHLi4udOvWjTlz5uDv71/HPbg/CH9GIFAHIigguK8II1qTkpISgoODadasGdu2bTOqwbplyxbef/993N3dKSkpIT09HVdXV7Kzs5V7AgICmD9/Pn5+fnXRfIHgH0NJSQk9evTAzc2NrVu3Gp09Xb16NV988QVarZbCwkLOnz9P48aNKSwsVO7p2bMnb7/9Np6ennXQ+vuL0EYguHecOHGChx56iGHDhvHpp58aVQvYs2cPr776Ko0aNaK4uJjmzZvTsWNHUlNTSU1NpbS0FEdHR5YtW0bPnj3ruCf3FuHPCATqQV3pTgX/KE6cOEFqairDhg1jwoQJmJmZYWtrS0hICM8++yySJLFs2TJ+/fVXWrduzfDhw+nUqRM3btxgz549PP744xw9erSuu3HPiYiIQK/XExoaiq2tLTqdDr1eD8CAAQOQJInz58/TsmVLPvjgA8LCwtiyZQvPP/88Li4unD59mnXr1gEo3xMIGiKHDh1Cp9MxYMAA7O3tjcbSyJEj0ev1REdHY2Zmxssvv8xvv/3Gb7/9xowZM7CxseHo0aNs27YNUN9YEtoIBPeOI0eOAChHFiVJQqfTAdC+fXvKysooLi5m9uzZ/PDDDyxbtoyNGzfyxRdf0KNHDwoKCtiwYQOVlZWqqpwk/BmBQD2IvYGC+8atjKiFhYViRA0GA7Nnz2batGm4u7sjSRKRkZF8/fXXHDt2jA0bNhAUFIS5ublqSvZcv34dADs7O+BmaUVzc3OSk5MpKirC29ubRYsW4eHhAYCDgwMdOnRgwIABzJo1i3Xr1vHAAw/cVQIfgUCtyFmu5QRd1cdSRkYGZWVltG/fno8++gitVqt8r3PnzvTq1YvnnnuOH3/8kTFjxtCmTZva78B9RGgjENw77O3t0Wg0pKWlAWBmZkZFRQUWFhaKrzNhwgSef/55ACoqKrCysqJnz564uroyZcoU9u7dy7/+9S+aN29eZ/241wh/RiBQD+p4yxL8IzFlROVI8J+NqLu7OxUVFWg0Gnr27Mmbb76JjY0Ne/fuJTs7WzUBAUDZJnfo0CHy8/OxsrJSyvZs2LABgEmTJuHh4aHoZTAYMBgMeHt7M2jQICRJUpx+gaChIjuRERERlJeXG42lrVu3AjB58mS0Wq0yluT/9+zZk759+1JYWKhUN1ETQhuB4N7Rvn17JEni4MGDxMfHo9FosLa25vLly/zwww9Ald2GKnstjzXZbo8YMQJJkkhKSqqzPtwPhD8jEKgHsVNAcN+obkRHjx6Nj4/PXzaiO3bsICkpSVWRdU9PTwIDA4mNjWX69OlMnjyZdu3asXXrVsLCwgDo3r07gBIMMTMzU3ZZtG3bFkmSyMrKAhClegQNFi8vLzw8PIiOjubJJ59k3LhxeHh4sHv3bn766ScAQkNDgZtjydzcnMrKSho1akSnTp04cOAAV69erbM+3C+ENgLBvaNbt2506dKFkydP8sADD9C9e3dcXFyIiooiPT2dxo0bY29vb5RrAG5m0q+oqKC8vFxJ3qkWuy38GYFAPYiggOC+IYyoaZycnHjiiSdYtGgRKSkpfPzxxwDY2Njg7u5OZWUl8fHx+Pr6GvXX3NwcgPj4eODmSqBadLmXCE1MozZdWrRowdNPP83HH3/MsWPHiIqKQqfTYWlpiYODA9bW1qSkpODt7W3Ub0tLS6CqZB9UvUADNeai+ozQRiC4d9jb2/Pee+/xySefcOzYMcLDwwFo06YNoaGhXLp0iVOnTtG2bVtlrBgMBszNzSkpKSEpKQkrKyu6dOkCoJp5WPgz9x+hiWmELvceERQQ3DeEEb01gwYNws7Ojt27d5OamsqVK1eYNWsWnp6evPvuu2zYsIGBAwfSpEkT9Ho95ubmaDQaUlJSCA8Px9XVVdFFOOo1UdOzci9Roy4TJ05Eo9Gwa9curl+/TkZGBg8++CDt2rXjgw8+YNOmTfTv3x9LS0sqKyuVl97Lly9z7NgxXF1d6dy5M6C+sSS0EQjuHe3bt+ell14iKiqK3NxcKioqmDJlCiUlJUyaNIlVq1bRpUsX2rRpgyRJypjZsmUL58+fZ+jQoTRq1Eix6WpB+DP3FzXa7XuB0OXeI4ICgvuKMKK3JiQkBF9fXyorK3FxcQGguLhYKdu4evVqHnvsMVxcXCguLiYhIYGvv/6akpISHn/8cQBlC54a+TtR4PLyci5cuIC7u7uSYE1t0WShS00mTJhAnz59KCgowMPDAysrK3Jzc9HpdBw7doy1a9cyY8YMLC0tlWzYy5cvp7CwkLlz5wLqHUtCm3tPRUUFeXl5ODk5YW1tDahrPP1dGoIuHTp0oEOHDkaf5ebmotVqSUxM5IMPPlCS5qWmphIREcHvv/+Ora0ts2bNqqNW33+EP3N7hN02jdDln4VGkvdqCwS1SG5uLo8//jiJiYn06dPHpBG9ceMGK1euJCgoSJVBgVuxZcsWXn31VQAsLCzo3bs3lZWVxMTEUFZWxtChQ3nzzTdp2rRpg9jS+1cm+127dvGf//yH3r1706tXLwYPHqxafYQuVdxOh5UrV/LJJ58A0KRJE0JCQrC2tmbfvn3k5+fTu3dvFi5ciLu7uyrHktDm7vmr4+mLL75g6NChDBgwAF9f3/vcurpD6GLMrfTYuXMn//rXv5Rkek5OTmg0GvLy8rC1teW1115j+vTptd3cOkf4M8YIu20aocs/AxEUENx3hBH9axgMBjZu3MhPP/1EQkKC8rmtrS2jRo1i3rx5SiReLcjPSHl5OXl5eUom4oCAACUB5d38xssvv8z27dtxcnKiqKiIYcOG8e6772Jvb38/m3/fELqY5m6dR51Ox+rVq9m4cSPJycnK52ZmZgwaNIhXX31VKZOlFoQ2t0YeTwaDgZKSEvLy8igrK8PLy+uuVyirjycbGxtu3LjBrFmzmDdvHjY2Nve5B/cHocu9ISkpibVr13Lo0CHS09NxdXXF19eXyZMnM2TIkLpuXp0g/Blht2WELv98RFBAUKcII3prMjMzSUpKIiEhAUtLS3r16kXr1q2xsbFR5Vapa9eusXz5csLCwrC2tsbMzIyAgABeeOGFu65fnJiYyMaNG5k7dy6FhYVMmDCBRYsWMXjw4HqrmdDl1uj1eszMzG7bfp1OR1xcHAkJCaSlpVFZWcnQoUPRarU4ODjU6/7fDqGNafLz8/nuu+/YuHEjNjY2NG7cmK5du/LUU08pW1Fvh16vJzw8nK1bt/LKK6+QmprKiy++yJIlSwgJCam3mgldalJQUICjo+Nd3Sv3r6ysjNLSUuWITqdOne5zK+sHwp8RdhuELv90RFBAcE8RRrQmJSUlvPLKK4wfP56goCDVRcXvBQkJCSxevJjIyEgsLCxo3Lgxer2eoqIiQkNDWbJkCQ4ODhQVFZGTk0NlZSU6nQ4PDw/s7e1rGAJ5Wlu2bBlBQUH06dOnrrr2PyF0MaakpIRFixYxbdo0AgIClM8lSVKSlN4KtTsLQps7c+HCBZYuXcoff/yhJLaVV8KHDRvGwoULsbGxQa/Xk52djbW1NeXl5Tg7O2NlZaXswpAkiRs3bmBra0t5eTnvvfceQ4cOpW/fvnXcw7+H0KUmERERzJkzh4ceeoiBAwfi5+dHo0aN6rpZdY7wZ+6MsNumEbr88xFBAcE9QxhR04SHhyuJdNzd3RkyZAjDhg3D19f3rvRpCPkU3njjDTZu3MiwYcOYMWMGdnZ2nD59mi+//JKsrCxWrlyJmZkZ33zzDcePH6dJkya0atWKbt26MWPGDFq2bFnXXbgvCF2MCQsL46WXXgKgVatWjB8/nvHjx9OqVSvlHvk4kqkxI48lNb4EC23uzPz58/n9998JCQnhwQcfxMHBgcjISFatWoWZmRlr165Fr9ezatUqDh8+jJOTE506dSI0NJRp06apNgma0KUm1ccTVJXMGzlyJH379qV9+/Z37LNax5HwZ+6MsNumEbr88xFBAcE9QxjRmkiSREVFBQsWLGDTpk1G13x8fBg+fDj9+vX7S2c31UZJSQnBwcE0a9aMbdu2YWtrq1zbsmUL77//Pu7u7pSUlChHTLKzs5V7AgICmD9/Pn5+fnXR/PuG0MUYSZIoKytj3rx5HDp0CIPBoFzr0qULkyZNYvjw4UbnCvV6PRqNRvVJiIQ2d6akpIQePXrg5ubG1q1bjbRYvXo1X3zxBVqtlsLCQs6fP0/jxo0pLCxU7unZsydvv/02np6eddD6+4fQ5dZ89NFHfPfdd8ruCZnQ0FCGDx9Or169GtSLivBn7oyw26YRutQPGoY3IKgVRowYwWOPPQZUJatKSEhgyZIljB8/nieffJJ169Zx9erVW35fbQEBqOqTtbU1DzzwgJJIJSgoCEtLS+Lj41myZAnjxo27K33USkREBHq9ntDQUGxtbdHpdMqK5oABA5QyaS1btuSDDz4gLCyMLVu28Pzzz+Pi4sLp06dZt24dcHMlVA0IXYzRaDQ0atSIqVOnKi+ygYGBWFhYcPLkSd58802CgoJ4/vnnOXjwIFC1Ii7fq9frUWsMXGhzZw4dOoROp2PAgAHY29sbjaeRI0ei1+uJjo7GzMyMl19+md9++43ffvuNGTNmYGNjw9GjR9m2bRugjvEkI3SpiRwAGDFiBLa2tjg4OPDkk0/SrVs3oGpufuuttxg/fjyvvPIKe/fuJTc3ty6bXCsIf+bOCLttGqFL/aBhhvIE9xz5TOGIESP45ZdfsLKyYvr06URFRREdHU1ERAQRERE4ODjQv39/hg0bRteuXRvMeTR/f3+GDh3Ktm3bmDp1KosXL2b//v2EhYURExPToPW5fv06AHZ2dsBNh8zc3Jzk5GSKiorw9vZm0aJFSjZ0BwcHOnTowIABA5g1axbr1q1TylqqBaGLaXr37k1wcDCRkZFMmjSJF198kaNHj3L48GHi4+PZvXs3u3fvxtHRkdGjRzNhwgT8/PyULauyjmpcIRfa3Bo507WcNK/6eMrIyKCsrIz27dvz0UcfodVqle917tyZXr168dxzz/Hjjz8yZswY2rRpU/sduE8IXWoi50fw9/enb9++7Nq1C19fX1566SXOnDnDvn372LVrF5cuXWLr1q1s3bqVli1bMmTIEAYPHoyPj4+qj04Kf+bWCLttGqFL/UB9ll9QJ/zZiBYUFODr68vPP//MunXrePrpp2nXrh1FRUVs3bqVuXPnMmXKFBYvXkxUVBSlpaV13YX7hsFgQKPRKBNZXFwcrVq14qGHHmLNmjWsX7/+jvqUlJTUcS/uH/J2sEOHDpGfn4+VlZWyCrFhwwYAJk2ahIeHhxIhNhgMGAwGvL29GTRoEJIkKc6tWhC61ESv12NlZYWfnx8Gg4HMzExCQkJ44okn+PTTT/nss8+YPn06Hh4eFBQU8PPPPzN58mSGDRvG119/TXp6OmZmZqp86RXa3B55/o2IiKC8vNxoPG3duhWAyZMno9VqlfEk/79nz5707duXwsJCMjIy6qD19w+hi2nknYuyPklJSUDVC/ELL7zAunXrWLVqFVOnTsXFxYWrV6/y/fffM3PmTGbNmsWKFStITEyss/bfL4Q/c3uE3TaN0KV+oE7rL6gThBE1jexkDxo0CICjR48qQRALCwv8/PzuqM/cuXPrrP33G09PTwIDA7l48SLTp0/n22+/Zd++fbz00kv89ttvAHTv3h24qWX1DNlt27ZFkiSysrIAVLMNWuhSE3lFWy5XGhkZSXl5Ofb29nh4eDBkyBBefvllvvzyS95//32GDx+Oo6MjqampLFu2jIEDB/LUU0/VZRfuG0Kb2+Pl5YWHhwfR0dE8+eSTbNq0iaioKBYtWsRPP/0EVJ0Vh5vjydzcnMrKSho1akSnTp2QJEl1W6KFLqaR50u57/v27TO6bmdnR2hoKO+++y5bt27lk08+YfDgwVhYWBAXF8eSJUtYtmxZbTf7viP8mdsj7LZphC71A3F8QHDPkBMFhoaG8umnn7Jv3z6jyV82oqGhobzwwgtERkYSFhbGgQMHiIuLIy4ujpMnT/LVV1/VYS/uHzY2NnTo0EH5+58TK5rSZ9euXezevRs3Nzegqq642hL4ODk58cQTT7Bo0SJSUlL4+OOPgSq93N3dqaysJD4+Hl9fXyO95Jeg+Ph44GYwSi0JK4Uut8be3h43NzeKi4uNSqJpNBrs7e3x9vamXbt2DB48mMuXLxMVFcWRI0cIDw9XSqaqcSyB0OZWtGjRgqeffpqPP/6YY8eOERUVhU6nw9LSEgcHB6ytrUlJScHb29tonFhaWgJVZfug6iUabh6Zq+8IXUwj99XZ2ZmhQ4dib29PRUWFsrpZnSZNmjBq1ChGjRpFamoq4eHhyk4cUOd4Ev6MaYTdNo3QpX4gqg8I7jlpaWn85z//wd7engULFpg0otWpbkT/9a9/MWjQIFUaC51OR3x8PMnJyfTp0+euz9clJyfj7OyMk5OTahwuU0RGRrJ7925SU1O5cuUKs2bNwtPTk3fffRdnZ2e++OILmjRpYlTSKCUlhUmTJmFra0t4eHgd9+D+IHSpSXl5OREREaSmpjJ27FiaNGly2/srKyvJy8sjISEBX19fmjRpotqxJLS5PZs2bWLXrl1cv36djIwMHnzwQdq1a8cHH3yAv78/n376KZaWllRWViovvpcvX2by5MlYWVmpcjyB0OV2ZGZmcu3aNbRarVHW9NuhRh+mOsKfuT3CbptG6PLPRgQFBPcFYUQFf4eioiIqKysVB6O4uJixY8dy7do1Zs+ezWOPPYaLiwvFxcUkJCTw9ddfEx4ezgsvvMDTTz+t2mdI6HJrxIrBrRHamCY7O5uCggI8PDywsrIiNzeXUaNGUVFRwfPPP8+MGTOwsLBQMmIvX76c3bt3M3fuXObOnava8SR0MUaMH8H/grDbphG6/HMRQQHBPUUYUWOq61E9Kq7mCPm9ZsuWLbz66qtA1ZnF3r17U1lZSUxMDGVlZQwdOpQ333yTpk2bNihdG5ou1ftQWVmJhYUFGo1GzDkIbe6W2+mxcuVKPvnkE6BqO3hISAjW1tbs27eP/Px8evfuzcKFC3F3d1fFeKqO0OXuachjSvgz/zsNzW7fLUKXfwYiKCC47zRkIwqQlZWFm5sber0enU6HtbW10fWGrs+dMBgMbNy4kZ9++omEhATlc1tbW0aNGsW8efMaRKmjP9MQdSksLKRx48Z13Yx/JEIb09ytA6nT6Vi9ejUbN24kOTlZ+dzMzIxBgwbx6quvKqWy1IDQxTRFRUUUFBSQlJSEp6cnlpaWWFhY0KRJkzsehWwICH/mf6Mh2u27Qejyz0AEBQT/M8KI1iQ5OZnt27cTFxdHWloaOp2OgIAA2rRpg6enJ+3bt8fT0xMbG5u6bmq9ITMzk6SkJBISErC0tKRXr160bt0aGxubBu2IqF2XzMxMDhw4QGxsLFlZWRQXF+Pn54evry8eHh60bNkSV1dX5ZxzQ0Joc/fo9Xol4eKt0Ol0xMXFkZCQQFpaGpWVlQwdOhStVouDg4MqxtOfEbpUUVlZyYYNG1i7di3p6ekUFxcD0KZNG7y8vGjfvj0dO3ZUxlZDWqkU/sy9R+12++8idKlbRFBA8LcRRtQ0+/fvZ/HixaSmpgLQuHFjCgsLletOTk60bduWwMBAevToQUBAAC4uLkr9X7VPeiUlJbzyyiuMHz+eoKAgEf39/whdanL8+HHee+89zp8/D4C1tTXl5eXK9RYtWuDv709wcDBdu3bFy8sLKyuru3rRqe8IbW5PSUkJixYtYtq0aQQEBCifS5KEwWBQkliZQs3Op9ClJjqdjg8//JAff/wRgFatWtG8eXPi4uIoKytT7mvatCk+Pj707NmT3r17q67igimEP3N7hN02jdClfiKCAoK/hTCipsnIyGD69Onk5OQwbtw4goOD8fDwoKKigkOHDhEVFUVycrJiVFu3bs2AAQOYNm0a7dq1q+PW1w7h4eE8/vjjALi7uzNkyBCGDRuGr68vjRo1uuP3q2elVRNCF2MyMzOZNWsWV69eJTQ0lJ49e+Lq6ookSURGRnLw4EGys7OV+318fBg9ejRTp07F3t6+Dlt+/xHa3JmwsDBeeukloMo+jR8/nvHjx9OqVSvlHr1eD2By3MjjSW0vwkKXmuzevZvnn38erVbL3Llz8ff3x97eHhsbG06cOKHY7gsXLlBWVoalpSXdu3dnxowZDBo0qK6bf98Q/sydEXbbNEKX+okICgj+FsKImmb58uUsX76cxx57TEma8mfnKTY2lv3793PgwAESExOBqnNTc+fOZebMmTXO6KkJSZKoqKhgwYIFbNq0yeiaj48Pw4cPp1+/fnh5eTWo7LJCl5rIY2nWrFm88cYbQM2xFBERwbZt29izZ4+yU6lp06bMmzePcePGqeal5c8IbW6PJEmUlZUxb948Dh06hMFgUK516dKFSZMmMXz4cKMAiV6vR6PRqDJYLSN0Mc1DDz3EiRMn+O677+jVqxdQc+GirKyMY8eOsWvXLnbu3KksfkybNo3XXnvtrl506hvCn7k9wm6bRuhSfxFBAcHfQhhR00yYMIFLly6xceNGvLy8lJrOBoMBSZKMIp8lJSXs27ePNWvWcObMGZycnJg/fz4jR46swx7UDqdPn2bmzJlUVFQQFBTEqVOnqKysVK6HhoYyfPhwevXqRcuWLeuwpbWL0OUmY8aM4cqVK6xfvx4vLy8qKiqwsrIyuc25uLiYzZs38+uvv3L+/HnatWvHggULCA4OrsMe3D+ENnfHvn37eP7559HpdAQGBhIXF4dOp1OuDx06lEmTJtGvXz+j76n9iIXQ5SYFBQUMGTIER0dHdu3ahZmZWY3M+oCRb3P16lV++eUX1q9fT1lZGc8++yxPPPGEqnQB4c/cLcJum0boUv8QQQHBX0YYUdNcv36dRx99lIKCAsLDw295RMKUPl9//TXLli3Dzs6O33//XTlmoVYkSeKVV15h27ZtfPTRR3Tt2pX9+/cTFhZGTEyMcp+DgwP9+/dn2LBhdO3aVfXn0oQuVVy7do0ZM2YAVS8wt9pK+OdVzIyMDJYvX8769etp1qwZmzZtwtnZuVbbfr8R2tw9FRUVPPXUU0RGRvLOO+/g4eHB0aNHOXz4MPHx8cp9jo6OjB49mgkTJuDn56d8bmquVgNCl5tcunSJp59+GktLS/773/8qL7um+vbnoMhvv/3Ge++9h6WlJb/++itarba2m3/fEP7M3SPstmmELvWP+j+jC2qdnJwcnJ2dsba2xmAwGEX+oMo4yAZCr9cjSRItW7bk5Zdf5qWXXkKv1/PVV1+RlJRUF82/L0iSRNOmTfH09CQ7O5sdO3bc0mEypc8jjzzChAkTKCkpYffu3bXZ9FpHTkDUsWNHAOLi4mjVqhUPPfQQa9asYf369Tz99NO0a9eOoqIitm7dyty5c5kyZQqLFy8mKiqKkpKSOu7FvUfoUoUkSbi7u9OqVSsyMzM5duzYLc8Wys67JElIkkSzZs147bXXGDhwIBkZGWzbtq2WW39/EdrcPXq9HisrK/z8/DAYDGRmZhISEsITTzzBp59+ymeffcb06dPx8PCgoKCAn3/+mcmTJzNs2DC+/vpr0tPTjeZqtSB0MaZdu3Y4OTlx4cIFwsLCsLS0vGXfzM3N0Wg0yGtp06ZNY/r06ZSVlREZGVmbzb6vCH/m7hF22zRCl/qJOmZ1Qa0ijGhN5JWD3r17Y25uzmeffcbBgwepqKi47fdkfWxsbJg0aRKWlpacO3fOKIu42pCfFTm3xNGjRyktLQXAwsICPz8/XnjhBdatW8eqVauYOnUqLi4uXL16le+//56ZM2cyd+7cOmv//ULoUoW8ut2rVy/0ej1LliwhNjbWaHuzqe/IY9DBwYFx48Zhbm5OQkJCjaBlfUZoc/fIwZIhQ4YAEBkZSXl5Ofb29nh4eDBkyBBefvllvvzyS95//32GDx+Oo6MjqampLFu2jIEDB/LUU0/VZRfuC0KXmsi7Fl977TW+++47MjMzb3u/RqNRxtyAAQMAjHZY1HeEP3P3CLttGqFL/UQEBQR/C2FETTNhwgQCAgJISUlh0aJFrF27lrS0tNt+R95+Z2trS2VlJaWlpapOziNjY2NDhw4dFAfkzyeZ7OzsCA0N5d1332Xr1q188sknDB06FAA3NzeA274M1VeELlVMmTIFDw8PTp06xZIlS9i/f7+RUyqvSlVHHkstWrRAr9eTm5uLpaVlrba7NhDa3D329va4ublRXFyMlZWVooNGo8He3h5vb28mTJjAggULWLlyJa+++iq9e/cGqrbPgzrG058RutykV69ejB8/HoPBwKpVq/jmm2+Iioq65UuwvPsGID09HajKsA43KzeoAeHP3D3CbptG6FK/EDkFBH+L0tJS3nvvPTZt2kSTJk0YNmwYI0eOJCAgACsrqxr3S5KETqfD0tKSdevW8dZbbzFnzhzmzZunmtIjclbevLw8Fi9ezObNm9FoNAQFBTFixAj69OlDy5Yta+yqkPu/dOlSvvnmG/7v//6Phx9+WDW63AqdTkd8fDzJycn06dPnrs+RJScn4+zsjJOTkypLWwpdbpKSksL8+fM5fvw4Go2Gvn37MmXKFAYOHGiyfzqdDgsLCz799FO++uor3njjDWbNmqXKsSS0uTvKy8uJiIggNTWVsWPH0qRJk9veX1lZSV5eHgkJCfj6+tKkSRPVjKfqCF2MuXHjBp999hlr1qxBp9Mp55yHDh1KYGAgjo6OmJub1xgr06dPJzY2lg0bNuDr66saTYQ/89cQdts0Qpf6hQgKCP42wojWRM7Oe/HiRdauXcsvv/yiRM4bN25Mv379CA0NxdPTEzs7O1xdXbG0tOS3335jyZIl2NnZsWvXLpydnVVVB1og+KvIY+nUqVN8++237NmzR7kmJ0AbMmQI7dq1w8zMDFtbWxo1asTGjRt55513sLCwYO/evbi4uKhuLAlt/h4Nqa9/hYaui1y9o6SkhD179vDDDz9w7tw55XrLli0JDQ2lU6dOODo6Ym9vT1FREWvWrOHUqVP07duXFStW1GEP7g/CnxEIGhYiKCD4WwgjendkZWWxfv16Nm/eTEpKivK5q6sr7u7u5ObmKsmemjdvzsMPP8wjjzyiqkBJdao7Bn+uWKHG/t4tQpc7c/bsWTZv3sy+ffu4cuWK8nmLFi3o0KEDeXl5FBcXc/HiRZydnXn44Yd56qmnGoSGQhtjqversrISCwsLJbdNQ34xEbrc5M/PvvwCLBMVFcWWLVvYs2cPeXl5yuf29vYUFxcrfx86dCizZ8+mc+fOql8NF/6MMcJum0boUn8RQQHBXSOMaE2qT34xMTHodDp0Oh1OTk60bdsWW1tboOq4xZkzZ9i7dy9//PEHeXl5WFlZUV5ejk6nIzg4mEcffZQ+ffrU+F21kZWVhZubG3q9Hp1OV+O8oZr7fjsaui7V+3fx4kUMBgNWVlaYm5vTrFkzLCwsKC0t5dq1a5w5c4bIyEgOHTpEbm4uAFZWVlRUVODj48OcOXMYPHgwFhYWqtBNaPPXKSwspHHjxnXdjH8cQpebpKSksH79eszMzHBwcKBNmzZ07txZyQ8AUFxcTExMDHv37uXixYvKeNFoNIwZM4ZRo0ZhZ2dXV124pwh/5q/T0O32rRC61E9EUEDwlxBGtCYXLlzgnXfeIS4ujrKyMpo0aUL79u0ZOXIk06ZNM/mdpKQkMjMzadq0KRYWFqqv45ucnMz27duJi4sjLS0NnU5HQEAAbdq0wdPTk/bt2+Pp6YmNjU1dN7VWEboYc+XKFT788EPi4+O5evUqLVu2pEuXLkyYMIHQ0NAa91dUVJCQkMCFCxdo0qQJzs7OdOjQQZV6CW3uTGZmJgcOHCA2NpasrCyKi4vx8/PD19cXDw8PWrZsqWxxbkgIXYzJzc3lv//9Lx9//LGyHR6qdtYMHz6cuXPn0qhRoxoLIXq9nuzsbNzc3JTP1fZyI/yZOyPstmmELvUfERQQ3BXCiJrm4MGDfPbZZ5w9e5ZmzZphMBgoKiqirKwMqMre+/rrr+Po6IgkSRgMBpM7I+r7jonbsX//fhYvXkxqaipQdRaxsLBQuS6vQgQGBtKjRw8CAgJwcXFR6tyq5Vn5M0IXY44ePcoXX3xBVFSUspJZXY/Zs2fzwgsvmExkWh01blEU2tyZ48eP895773H+/HkArK2tjUqhtWjRAn9/f4KDg+natSteXl5YWVmh1+sxMzNT3XiSEbrUZOnSpaxZs4YbN24wcuRIrKysOHfuHAkJCQCEhISwdOlSnJ2dgSr7LJcDhZvjSG12W/gzd0bYbdMIXdSBCAoI7gphRE0zY8YMoqOjmTVrFlOmTMHb25vY2FjWrl3Lli1bsLa2Zv78+UyaNMmo72oKjNyOjIwMpk+fTk5ODuPGjSM4OBgPDw8qKio4dOgQUVFRJCcnK8ajdevWDBgwgGnTptGuXbs6bv39Q+hSk1mzZnH8+HEmTJjA2LFjCQgI4MyZM3z//fccOHAAFxcXFi5cyIABA4zGUkNwKoQ2tyczM5NZs2Zx9epVQkND6dmzJ66urkiSRGRkJAcPHiQ7O1u538fHh9GjRzN16lTs7e3rsOX3F6FLTbKzsxk0aBDm5uasWLGCrl27YmZmRnl5OevXr+ezzz6joKCA559/nmeeeUbVgbQ/I/yZ2yPstmmELipCEgjuQFZWlhQQECB16dJFOnHihKTX6yVJkqQbN25IP/30kxQcHCxptVrpiy++kCRJUq6rndjYWEmr1UoPPvigyevPPfecpNVqpQEDBkiXL182umYwGCRJkqTi4mIpMTFRKisru+/trQs+//xzSavVSh9++KHymdx3mZMnT0pLliyRxo4dK2m1Wkmr1UqBgYHSt99+K924caO2m1wrCF2MkcfSlClTalzLysqSpkyZImm1WmnSpElSTk6O0XVZtxs3bkgZGRlSRUVFrbS5thDa3Bl5PC1cuFD57M/jKTw8XHr99delbt26KeOpT58+0qZNm2rcqxaELjVZuXKlpNVqpU8++USSJEnS6XSSTqeTJKnKd3nttdcUu52SkiJJ0k3NZN/m/Pnz0tatW6WMjIw66MH9Qfgzd0bYbdMIXdRDwwh/Cv4n/vvf/1JeXs7MmTMJCgpCkiT0ej3W1tY88MADDBgwAID169eTmpqKmZkZ0v/fgCIfNbhw4QLbtm0jMzOzzvpxr9m5cycA48ePB6rqsULVLgmAV155BQ8PD9LT0/nll1+MvivrsmvXLl577TUiIiJqqdW1yx9//IG1tTWTJk0CqpJTajQaDAaDolNgYCAvvfQSa9eu5T//+Q/+/v6UlZWxcuVK/vjjj7ps/n1D6GLM9u3bAZg6dSpwcywZDAZcXV155513cHJyIi4ujm3bthl9Vx5LO3fu5N///jenTp2qxZbff4Q2d2bXrl3Y2toqZ54rKiqUrPryeAoNDeWDDz7gwIEDvPXWW3h7e3P9+nVWrFjBiRMn6rL59w2hS00OHz4MwLBhw5TPzM3NkSQJMzMzXnzxRVq3bk16ejpr1641+q68Y+CHH37gjTfeEP7M/0f4Mw3TbssIXdSDCAoI7ogwoqa5cOECAMHBwcDNvpqbm6PT6fDw8GDo0KEAhIeHk5WVpXxX3na3Y8cOzp07R5s2bQCUYIoauH79OhUVFTg4OODl5YXBYFASWZmZmRltcTYYDNjZ2TFmzBjWrVvHiy++SH5+Pm+99RYXL16sy27cc4QuNUlMTASgV69ewM2xZGZmhk6no1OnTgwaNAiAsLAwo2omsl5btmwhPDwcJycnQD1jSWhze65du0ZJSQnOzs54eXmh1+uV3AoajUbRQK/XYzAYsLe3Z8aMGaxcuZLJkydz6dIlXn31VaOKOWpA6FKTvLw8SktLsbe3x8PDQ/FhoEqTyspKmjVrxogRIwA4cuQIV69eVQIpUHUk48iRIwAEBATUTUfuA8KfuT3CbptG6KIuRFBAcFuEETWNwWCgefPmAERHRwMYnTu0sLAAYNSoUTRt2pSkpCQlel5RUQHAuXPnOHXqFN7e3rRv315V5/IkSaJp06Z4enqSnZ3Njh07bnku08zMTLmm1+uRJIlHHnmECRMmUFJSwu7du2uz6fcVoUtNysvLcXNzw9zcXEmGZmosjR49GkdHR06ePElUVBRQtSIBVWPp9OnTqhtLQpvbI0kS7u7utGrViszMTI4dO3bLnDXm5ubKLjZJkmjWrBmvvfYaAwcOJCMjo8Yui/qM0KUmkiTh7OyMu7s7xcXF7N27t0a+DfllZuzYsbi6unL+/HlOnjwJ3Fw5l32ciRMnGn1enxH+zO0Rdts0Qhf1IYICglsijOitMTMzw8PDA4BNmzZx/vx5ZZtUdXx8fOjUqRMAe/fupaKiQtHs4MGDFBUVMWHCBACT36+vyM9I7969MTc357PPPuPgwYOKA3ErzM3N0Wg02NjYMGnSJCwtLTl37pxRtuz6jNClJtbW1rRs2RK9Xs/vv/9ORkaGUYUTmZ49eypjbt++fUaZr9U6loQ2t0dOZturVy/0ej1LliwhNjb2tjamug1zcHBg3LhxmJubk5CQoARS6jtCl5rIfevSpQsAX3/9Nbt37zbaWSPj5eVFUFAQAFu3bkWSJMVu79+/H4ApU6YA3PIlqD4h/JnbI+y2aYQu6qP+z2aC+4YwordGkiSGDBmCk5MTJ06c4N133+XUqVNGhlB23uVgyPHjx0lLS0Oj0VBRUcHBgweBm2f41FSVQWbChAkEBASQkpLCokWLWLt2LWlpabf9jqybra0tlZWVlJaWYm1tXRvNrTWELsYMGDAAW1tb/vjjD5YsWaKUNZKR+y6fjd63bx95eXmYmZmpfiwJbe7MlClT8PDw4NSpUyxZsoT9+/cbOabyylR1ZN1atGiBXq8nNzdXsVlqQehSk2HDhqHVarl8+TLLly9XKij9mX79+gFw5swZ4uPjAUhKSuLYsWO0atUKX19fQPgzwp9puHZbRuiiHur/bCa47wgjWhONRoOnpyeffvopHh4eREdHk5WVZWQI5RKMffr0wdvbm8LCQmUrZlRUFLGxsQQHBxvValUTkiRhY2PDl19+ybhx40hNTeXDDz/kjTfeUIyGqVVP2UmVt5P16dMHUM/Kg9ClJoGBgSxYsAArKyu2bNnCuXPnjK7L25v79+9PixYtyM7OZuvWrYD6x5LQ5s40adKElStXEhwczPHjx3n++ed57rnn2Lt3r7Jr4s/9lsfYvn37gKrdFqCO8SQjdLmJnBuhVatWLFy4kPbt21NZWankWaiOJEmMGTOGZs2akZubS3h4OFB1lr6goKBGMr76jvBn7oyw26YRuqgLi7pugOCfS15eHs7OzooRff311+9oRD/99FMyMjIIDw/H19dXMaIPPfQQUGVE5fNp9ZWlS5fSu3dvunfvTteuXfnXv/7F5cuXlR0V1TE3N6dRo0aEhoZy/vx5Nm/ezOzZszl8+DCSJCkZxdWUkEdGzjnh7OzMnDlzsLe355dffuHEiROcOHGCxo0b069fP0JDQ/H09MTOzu7/tXfncTXl/x/AX902bSpUCBnUTUhFWULKEgpjrF+7wdjXLM2MdZixzCC7xjKirMmakjVZiggjS2SrUFqkve69n98f/c7R1b0VWsa97+fjMY/Rvedz+5x3930+53zO53w+qFWrFtTV1XHw4EHs2LED1atXR58+fQAoRmcSQHEpys/PD+3atUOjRo3Qo0cP5OXl4fnz52jVqhUA6fWvVVRUYGRkhDZt2uDo0aM4cuQIRo8erbC5RLEpu4KCAjRs2BAeHh7YsWMHzp49i9DQUISGhkJfXx/u7u7o1q0bGjVqBIFAAC0tLWhra+PIkSPYuXMntLW14e7uDuDbzqdPUVwK5ebm4scff8SUKVPQtWtXNG/eHNu2bUNycjIsLS1lllFTU8OAAQOwadMm+Pn5wc3Nje8c4GZZV4S74XQ+UzbUbstGcVEsKkwRs5d8tdzcXPzvf//jG1EAiI+PR3JyMqysrIp1DHAnqJs2bcKmTZtgbGyMffv2YdGiRbh27RouXryIOnXqfPOTz7x58wbOzs5o2bIl5syZA3t7+zKVe/ToEQYMGACBQIDhw4cjLCwMz58/x927dxXixKKs3r17B39/fxw/fhwvXrzgX69VqxZMTEyQmpoKiUSCxMRE1KlTB6NGjcLo0aMhkUgUurFQxri8fv0aLi4ucHFxwZw5c9CoUaMylbtx4wZGjhwJXV1dTJgwgY+ZIuUSxebrREdH4/jx47hw4QLi4+P51+vWrQsLCwukpaUhMzMTsbGxMDQ0xKhRozBx4sRvOp/KQlnjcvfuXQwePBhGRkYYPXo0hg4dCi0trVLLPXnyBGPGjEFaWhpatWqFqKgoWFpa4vDhw998TAA6n/laythulwXF5dtFnQJEJmpEi+M6NI4cOYLNmzfj9evXGDlyJIYNGwYzMzOIxWIIBAK5nR4LFiyAv78//7ObmxvWrFkDsVisMA1p0U6f27dvQyQSQSQSwcDAAN999x3/HcrOzsa///6Lc+fO4fz580hLS4OGhgby8vIgEong4OCAMWPG8EPKvvXOJIpLcTk5OfD29oaPjw9UVFQwffp09OnTBzVq1Cg1lyZPnowLFy5ATU0NIpFI4XKJYlOyot/72NhYSCQSaGhoQFVVFbVr14aamhqys7Px5s0b/PvvvwgPD8fly5eRmpoKANDQ0EB+fj6srKzw008/oWvXrlBTU/um8wmguJTk1q1bWLNmDW7fvg1nZ2dMmjSJXw2ppP1bsmQJDhw4wOfT8uXLMWDAgG9+1COdz5SO2m3ZKC6KizoFiFzUiMpWUFCAsLAwrFu3Dk+ePEHPnj0xZ84cmJqallguLS0NkydP5ldn2Lt3L+zt7RWqEQUK1zteunQp7t+/j5ycHNSsWRNNmjRBr169+MnQPhUTE4PExEQYGxtDTU0NjRs3ruRaVzyKS3GZmZkICgqCl5cX/5jR1KlToaOjU2K5V69eYezYsfxkRoqYSxSbksXHx2PVqlV48OABEhISYGpqCltbW/Tr1w+Ojo7Fts/Pz8ejR4/w9OlT1KxZE4aGhrCwsEC1atWqoPYVh+JSHHe+8uTJE2zbtg2BgYEQCoWYPXs2PxeSPDk5OZgwYQJu3LgBAIiKiirTDZJvBZ3PlIzabdkoLoqJOgWITNSIlk4sFmPDhg3Ys2cP1NXVMWPGDLi5ucHAwKBYw8jF88KFC1iyZAlycnJw8+bNKqx9xQgNDcWGDRsQHR2N2rVrQyKRICMjAzk5OQAKZ6n19PSEvr4+GGNSS6cVpWgnFhSXkqWkpGD16tU4fvw4GjVqhBkzZqBz587Q1NQsts/ciKOjR49i1apVYIwhIiKiCmtfsSg2xV2/fh2bN29GZGQkqlevDgD48OED//7YsWMxY8YMmfPfFPWtj177FMWlbE6ePAkvLy8kJCRgxIgRGDlyJOrXrw/GGBhj/L5zcXj58iV+++03GBoa4q+//lLI4zCdzxRH7bZsFBcFxggpgxMnTjAXFxcmFArZ8uXL2atXrxhjjEkkEiYWi/ntuH+/ePGC/fjjj8zDw4MxxphIJKr8SlcQiUTC709GRgbz8/Njbdu2ZVZWVmzNmjUsPz+/xPIxMTHs6tWrjDHGCgoKKry+lWno0KFMKBSy33//ncXExDDGGIuKimJz585lQqGQWVtbM39/f8aY9HdCIpFUSX0rC8VFtqK5lJCQwNasWcOEQiHr0KED279/f6nlz58/z4KCghhjipdLFBv5RowYwYRCIfP09GTXrl1jmZmZ7Pr162zChAlMKBSydu3asQsXLjDGpPNJLBYrdE5RXErG7XN+fj4LCwtjAwcOZEKhkE2aNIk9e/asxLJv375lSUlJjDEmdc7zraPzGfmo3ZaN4qK4qFOAlIga0bJ5+fIlmzZtGhMKhaxv377s4sWLLC8vjzEm+6CoiAfHO3fuMKFQyIYOHSrzfS4+zs7OfKcSh4tHZmYme/z4McvJyanw+lYWiktxJX3/o6Ki+JOOsWPHsqioKCaRSIp1QHIU7dhCsSkZl08DBw4s9t67d+/4Nqp///4sJSVF6n0utrm5uezt27elXvB8SyguX2bLli3MxsaG2drasl27drHU1FTGWGG7rYjtdFnQ+Qy12/JQXBSb4o4PI+WCG9qjrq6ODh064NChQ5gxYwauX7+O/v37459//uHX/xWLxVJL0ZiYmMDIyAiA4i4zwv5/uGGDBg2wYMECTJgwAY8ePcKCBQtw7NgxANLLFhVdQkzRBAcHA0CxNZy5dWfnzp2L+vXr4/Xr19i/f79UWW4d2zNnzmD+/Pm4evVqJdW64lFcilNRUSm2bJVEIgFjDDY2Nli4cCG/BNjSpUsRHh4OFRUVmccRRTu2UGxKFhgYCAD88mdcPkkkEtSqVQtLly6FgYEB7t+/z6+jzuHyKTg4GL/++ivu3r1biTWvWBQX2bhc+jSnuOPviBEj8Msvv6BatWpYs2YNvL29kZubC1VVVYVspz9VdA15Op/5iNpt2Sguik3xzhhIhaFGtDgVFRV+n42NjTFr1izs3LkTxsbGWLRoEWbMmIHHjx/z2396YqJInj59CgBwcHAA8PGCRFVVFSKRCPXr10f37t0BAFeuXMG7d+/4styJxunTp/Hw4UOYmZkBUIx4UVykXbhwAWlpacWOFUVnura0tMSaNWuwatUqZGRkYMyYMfj999/5yfO4i2RFQ7EpHXc8bd++PYCP+SQQCCASidC0aVN06dIFABAUFITMzEy+LJdPJ06cwJUrV2BgYADg284nDsVFNi5v8vPzkZ+fz7/O7bOuri4GDhyIkydPws3NDbt370bfvn1x5swZ5ObmAvh47qOIinYc0vnMR9Ruy0ZxUWzUKUDKTFkbUcaY1MlESdsBgKOjI1auXAk3NzecOXMGnp6euHz5MgDF7FEHCi9E6tSpA6Bw1QpA+mSDW3XCzc0NxsbGiImJ4XuJudg+fPgQd+/ehbm5OZo0aaIQy9NQXKSlp6dj8uTJmD59utycEovF/PGjb9++WLhwIWxsbLB3716sXLkSsbGxJS6V9a2i2JQuLy8PRkZGUFVVxZMnTwDIzid3d3fo6+sjKioKkZGRAApnWQcK8+nevXsKkU8ciotssbGx8PLyQpcuXTBt2jQ8fPiw2DZcu12zZk1Mnz4dP/30E+Li4rB06VKZd8cVgUQiQXR0NFatWoVNmzbh0aNHUiMGJBIJ/7OjoyP++OMPOp9R4nabQ3FRfNQpQHjp6elITk7mhwPJwxiDWCxGzZo1MXPmTIVvRIODg7F27VpERkYiJSVFbnyKHtgsLCywbNkyeHp6IjExEbNnz8a6deukZoJWJAKBAPXr1wcAHD16FE+ePJHZMWRlZYWmTZsCAM6dO4f8/Hyoq6sDKJzRNiMjA/369QOgGB1LFBdpJ0+eBAC0adMGGhoaUieiHFVVVakTDScnJ2zfvh3jxo3DtWvXMGrUKOzduxdZWVmVVu/KQLEpnaamJkxNTSEWi3Ho0CG8fftWZpzatWvH592FCxekZr9WpHziUFyKCw4OhoeHB7Zt24aEhATcuXMHeXl5xbZLT09HRkYGAMDU1BSzZ8+Gn58fGjVqhCVLlmD48OGIj4+v7OpXmPj4ePz555/845+bNm3Cs2fPpI4rAoFA6mdLS0s6n1HidptDcVF81ClAeEuXLsXUqVNx4MABPHjwAB8+fJB5YqGiosKfSNSpUwezZ8/Gvn37FLYR9fLywu7du/HTTz9h3rx52LdvX4nxEYlESE1Nhba2NkaPHg0vLy80bdoU3t7eCvWsZlGMMXTr1g0GBga4efMmfvvtN9y9e1fqgM/F6ocffgAA3LhxA3FxcVBRUUF+fj5CQ0MBfHxWTRE6ligu0vz9/aGlpYVOnTrxrxXNoWfPnmHXrl3w9vbG2rVrcerUKSQnJ0NPTw8eHh5YtGgRqlWrht9//13mXb9vGcWmbJydnaGlpYXz589j7dq1ePnypdT7XMy4tbK5RzIEAoHC5VNRFJeP8vPzsW7dOjx69Ajt2rXDunXrsHbtWpibmwMoHEGwY8cOjBgxAvPnz8fs2bOxevVqREREID8/H7a2tvj111/Ru3dvREZG8hc0imDLli3w8fFBtWrV0LNnT4waNQrfffcdgMILtNjYWOzatQs7duzAhg0bEBQUhJSUFP58Zt26dXQ+A+VqtzkUFyVQwRMZkm9Efn4+s7GxYUKhkF+6yMPDgx0/fpw9e/aMZWVlFSuTkJDArl+/zs9K++jRIzZnzhwmFArZ27dvK3sXKsw///zD7Ozs+Nhwy4LNmzdPKj7cjM1nzpxhw4cPZ9evX+c/4+XLl2zx4sUKORt4UeHh4axr166sadOmLDg4uNj7IpGIZWVlMXd3dyYUCpmXlxdjjLGrV68yS0tLNmLECMaY4s2aTnEpXKaUmzWfw81GLBKJ2B9//MGcnZ35HGvatClr2bIlGzFiBAsJCeHLPHz4kE2bNu2bjsWnKDaf59ixY6xFixZMKBSywMDAYu9LJBKWlJTEx+yff/5hjClWPslCcSkUEBDAhEIhmzVrVrH3bt++zbp27SrVnjdt2pQJhULWs2dPqeU+JRIJ345/6zFhjLFXr14xoVDIHB0d2aNHj6Tey8vLYwsXLmQdO3bk49KsWTPWqlUr9uOPP0q1W3Q+U0gZ2m1ZKC6KS62qOyXIf4O6ujr++OMPLF68GB8+fEBqaipOnTqFU6dOoXHjxnB0dET79u0hFApRvXp16OjoYNu2bbhx4wZWr14Na2trCIVCfliaiYkJJBKJQsx+PWDAAFy/fh2hoaGoW7cuCgoK8O7dOxw/fhzHjx/n49OmTRs4Ojpi27ZtePz4MbS0tACAn813yZIlVbsjFWTdunXo0KED7O3tYWdnBw8PD7x69Qq2trbFtlVVVYW2tjYcHR3x5MkTHD9+HGPHjkVYWBgYY/zM2UwBJp6huEjz9/cHAHTu3BlA4bPM6urqyMrKws6dO+Hj4wMA6NixIwQCAcRiMZ4/f47IyEh+OLSrqyssLS2xYcMGAFCY5xEpNqXz8/NDu3bt0KhRI/To0QN5eXl4/vw5WrVqBUB6f1VUVGBkZIQ2bdrg6NGjOHLkCEaPHq1Q+cShuBR39uxZAMCQIUMAFM65oKmpiQcPHmDVqlWIi4tD8+bN0a9fP2RlZeHt27d48OAB7t27h99++w1v377FlClToK6ujrZt2wJQjJU8uFUnRo8eDaFQiPz8fGhoaCAzMxObNm3CoUOHABTOI8D+fy6luLg4XL9+HfHx8SgoKIC7uzudz/w/ZWi3ORQXJVHZvRDkv0ksFrOcnBy2ePFiJhQK2ejRo5mnp6fU6AGhUMiGDBnCtmzZwsLDw1nTpk1Zly5d+HV9FbnX7/Xr16xr167s+++/Zy9evGBPnjxh8+fPZy1btpSKT//+/ZlQKGTff/+9Qo2WkOf169dMKBSyQYMGsRs3bpS53MOHD1mzZs1YixYt2KpVq5i7uztr1qyZ1BrI3zKKS3EdO3ZkHTt25Ncuzs3NZYwxdvbsWWZnZ8fc3NzYsWPH+O0TEhJYcHAwGzFiBBMKhax79+7F1ldXFBSbkiUkJDChUMgmTZrEYmNjy1wuIiKCCYVC1qpVK/b3338zNzc3hcknxigusmRmZrIhQ4YwOzs7lp6ezhhj/H6tW7eOCYVCtnLlSqn2OS8vjz148IAtWbKEHwkYHR1dJfWvSNwa8ty+caM8Q0JCWIsWLVi/fv3YmTNn+O1fvXrFAgMD2ZgxY5hQKGTt27dnz58/Z4x9HMmkSKjdlo3iojy+/a5PUi4EAgGqVauGSZMmoWHDhkhISMDo0aMRFRWFdevW8c+5RkVFYf369Rg/fjwkEglMTU2Rnp6O9+/fV+0OVCBuxtX58+fj0aNHmDlzJpo0aYKVK1ciKioKmzZtQseOHQEA9+/fh6qqKp4+fYrly5fD19cX9+/fl1r+SVEwxlCnTh38/vvvePfuHUaMGIE//viDf5ZVLBbL7Qm2tLTE999/j/z8fOzatQtPnjyBq6srVFVVv/mJZyguxd2+fRtJSUkwNzfnJyrS1NQEAFy+fBlZWVmYNm0a+vbty5epW7cuXF1dsWXLFnTr1g0vX77k75grEopN6QwNDTFx4kRcv34dAwYMwO7du5Gamgqg5HxycHCAi4sLMjMzsX79ejx9+lQh8olDcSlOQ0MD9erVQ1ZWFqKiogAU3rnMycnBgwcPIBAIMHnyZJiYmIAxBolEAg0NDTRt2hSLFy/GoEGD8O7dOwQEBABQnLuZ+fn5qFmzJgDwEytys8WHh4cjPz8f06dP55eTA4D69eujV69e2Lx5M/r06YOUlBRs27YNgOKtPEDttmwUF+VCnQKExxiDiYkJVq9ejTdv3mDSpEnIyspCz5498ffffyMiIgILFy5Ey5YtkZ+fDxUVFURERGDUqFFYtWoVAgICkJSUVNW7Ue64YYMuLi4YOnQoHj58iOXLlyMzMxMqKiro2rUrtm/fjujoaNSoUQMqKiooKCjA2bNnsXz5cgwaNIhfwkeRcCcFffr0wYIFC2Bubo49e/bAy8sLCQkJUFVVLfHEwcPDQ2roGTfU81tHcSmOO8GOjIzEggULEB4eDpFIhPT0dDx//hyGhoZwdXWVKsP+f5UTXV1duLm5AQDevn0LADIn+PxWUWxKp6WlhXHjxuGXX36BlpYW/vrrL2zfvh1ZWVml5pOnpyfq16/PrxqjCPnEobgUp66uzi+bdvz4cf6ChTGG3NxctGjRAnp6ehCLxVBRUeHbdy5vhg4dCnV1dSQlJfFt/LeOMQYNDQ3UrVsXAHDw4EEAhec2OTk5eP/+PfT19eHk5CR1gcd1mmhpaWHQoEFQV1dHamoqcnJyqmQ/KhK127JRXJQLdQoQnoqKCkQiEaytrTF79my8fv0av/zyC9+rrK+vj2HDhmHfvn0AABMTExgbGyMxMRFHjx7FggULEBcXV5W7UKEEAgFmzZoFGxsb+Pr6Ijw8HAD45b+eP3+O1NRUdO/eHefOncPEiRNRp04dSCQSNGrUCIDi3HUoSl1dHS4uLjh27BgmTJiAS5cuoV+/fvDz8+NHkHzaK8wYg6GhIcaPHw9jY2Po6enB3t4egOLMRktx+cjT0xOTJ09GrVq14O/vj5UrV2L//v3Q09NDjRo1YGFhAUA6HkVXOXF0dISOjg7i4+ORkZGhEM/3cig2ZaOrq4uBAwfixIkTcHNzwz///IOBAwfizJkz/FJzn+aTRCJBgwYNMHnyZBgYGEBfX18h8qkoiktxQ4cOhaWlJU6fPo1ffvkFsbGx0NbWhoaGBtLS0vDu3TuoqqrK7EDT0dFBQUEB0tLSoKurWwW1L3/cRVunTp3w3XffITg4GH///TfS0tKgpaUFLS0t6OrqIiUlReoCr2inSevWraGnp4dXr14pZKcAh9pt2SguSqLSHlQg35SMjAw2btw4JhQK2Z49exhjjF+BYNeuXUwoFDIfHx/GGGM3b95kc+fOZY6OjlVW38rAzZkQExPD2rZty9q1a8devHjBv8/Nx3D48GGpcg8fPmSMKeYzeIwV7hf3jFhGRgbz8/Njbdu2ZVZWVmzNmjX8qgzyxMTEsKtXrzLGGCsoKKjw+lYWiou0vLw8FhYWxqZPn84sLS2ZUChkvXr1Yo6OjszV1ZVlZGQUK8PF7+7du8Vm51ckFJvSFc2nhIQEtmbNGv7576Izxstz/vx5FhQUxBhTjHziUFykce1sQEAAs7W1Zc2aNWPTpk1jly9fZv7+/qxly5YsPDxcqoxIJOJj6Ofnx887wL2nSLy9vZlQKGTNmzdnf/75J3v27Bk7dOgQEwqFfHvDWGEcxWIxv//37t1jzZs3Z0OHDq2qqlcKardlo7goB+oUIHK9ffuWderUidna2rKYmBj+dXd3d2Zra8vu3r0rs5wiTzjI7RvXMTJu3DiWnJzMGGPM3t6eOTs7szdv3jDGPk7iw5jidgjI8/LlS35So759+7KLFy/y8Sh6ksXFRVniQ3FhLCUlhfn5+UktC9a8eXN29uxZuWVWrFjBhEIh27t3L2NM8U7UORSb4krKgaioKDZ06FC+UyQqKopJJBL+guZTitQ2UVxKd+HCBdanTx8+l/r27csvyRcQEFBsMuAnT54wFxcXJhQK2ePHjxljihmbgwcPMicnJyYUCpmbmxtbtmwZa968ORs4cCC7deuWzH329PRkQqGQ+fr6MsaU68KO2m3ZKC6KR4UxBRzPTL6aSCSCmpoaQkJCMGvWLDRu3Bj79+/Hhw8f4OzsDCcnJ3h7ewP4ONEIN2mNMhCJRJg3bx5Onz6NFStWoHbt2hgzZgwGDhyIZcuWVXX1qgx3OFFRUUFSUhL8/Pzg7e2NWrVqYfr06fxSNMqG4lJcQUEBDh06BF9fXwDA3Llz4eLiAqDwkZzs7GxoaWnB398fq1evhp6eHkJCQqCvr69wy+19imIj7dN9kkgkUFFRgYqKCh49eoTt27cjMDAQTZs2xbx589CuXbsqrG3lobjIVjQu0dHR2LdvH44cOcK/LxAI0KBBA1hbW6NmzZqoXr06kpOTcfjwYYhEIgwZMgSLFi2qqupXGC4u2dnZCAkJwe7du/Ho0SOpbezs7NCpUyeYmZnB1NQUWVlZ2L17N0JDQ2Fubo59+/ZBT09PIY8zAKSW0qZ2+yOKi3KgTgFSovz8fKxatQp+fn6YPXs2EhMT4efnhyVLlmDIkCFSBwplwTWG6enp+N///oeUlBRoa2sjKSkJGzZsQJcuXSAWi+mZqf939epVrFmzBg8ePICrqysmT54MoVAIQPHWUv8cyhoX9v+TV6mqqiIvLw83b97E+/fv4eTkBD09PQDAli1bEBwcjJycHMTFxcHQ0BA//vgjv+qJoh5zKDbSLly4AFtbWxgaGpa67fHjx7Fx40bEx8djxIgRGDlyJOrXry91oawoKC6fLykpCQEBATh58iRiY2P51wUCgdTcAhMnTsT//vc/mJiYKFw+yRIcHIwDBw7wcyQBhasS6OnpIS0tjY+PjY0NJk+ejE6dOil0+1QaZW23S0NxUQzUKUBKlZeXh//973948OABVFVVYWJiAh8fH/7EQtEbTVm4/T579iwWLFiA9PR0NG3aFD4+PqhevXpVV69CMcZQUFAADQ2NUrfjGoKYmBh4e3vzd61mzZrFL3OpKCguX+7TkwZLS0v+33Xr1sX06dPRs2dPaGpqKt0JhrLGJj09HW3atIG9vT127twpM6+4ia24DtjQ0FBs3boVd+7cQZcuXTB79mw0bty4Uutd0Sgun+fTVQYKCgrw9OlTnD9/Hv/++y8A8JPtDR48GDY2NlVY28pRtPOR8/jxY4SFhSEoKAgJCQnQ0tLiv0fu7u7o37+/wn5nJBIJHj58iFOnTkFHRwddu3aFhYVFsZUpuJ8/HYWjqO02xUX5UKcAKRF3x/vevXuYO3cuEhIS0L17d6xdu7aqq1YhZDWWpfH29kZAQAB69OiBWbNmKdSJuSxBQUG4e/cuunbtiu+++w76+vplenQkOzsbhw4dwt9//438/HwMGzYMY8eOVZhOFIqLtLLkkqxcycvLg4+PD7Kzs9GsWTNYWFjAzMysoqtbqSg2pfP19cXy5csxdepUTJ06VW4H9KdxysjIgLe3N/z8/KCjo4MJEybghx9+gI6OTmVWv8JQXIpLT0+HQCCAjo7OZ9+keP/+PQwMDPifFWmUX1mOM7K+P4mJiYiPj0ft2rWho6MjFR9FEx8fDz8/P/zzzz/8a2vXrkWvXr1KLKeo7TaH4qKcqFNASX1OI8oKJ6REYGAgzpw5g379+insEPnDhw/jw4cPcHR0hKmpKXR1dct0gR8XFwdNTU0YGxsr/OgJV1dXvHz5Etra2rC1tYWTkxNat26NevXqQVdXt9i+i0QifPjwATVq1AAA3LhxAxs3bsTNmzexfft2dOzYsSp2o9xRXKR9aS4pA4pN6b7//nu8fPkSPj4+sLa2LnZX6tmzZ7h06RLy8/ORnZ0NCwsLtG3bFrVq1QJjDMeOHcPmzZsRHx8PX19ftG7duip3p9xQXIobN24cdHV14erqCisrKxgbG0NLS0vu9p9eLCtqm/25xxmxWAyBQFBsG0U81+P88ssvOHbsGDQ0NODs7AxjY2N8//33aNq0KcRiMV68eIHQ0FBIJBJkZ2fD3NwcDg4OqFmzJgAgIiICmzZtUph2m0NxUU7UKaCkPrcRLUqRG4jBgwfj7t27MDU1hYODAzp27IhmzZrJjY+inkyUZPfu3di4cSOysrL414yMjNC+fXs4OjqiRYsWMDExgbq6OtTV1RESEoK9e/diypQpaNu2LQDg1atX2LVrFxYtWqQw8aO4SPvcXOJwnZDf+v6XhGJTspcvX8LV1RUdOnTAjh07AHy88y0Wi7F69WqcPXsWr1+/BlB4QayhoQFra2uMGDEC3bp1A1A4nHXLli3w8vJSiJhRXIrLzc3FqFGjcPfuXQCAubk5OnXqhLZt28Lc3Bw1atQo9ZEuRfU1xxll6KSMi4tDt27dUKtWLezcuZN/Bh4onE9r+fLluHTpEpKSkgAUzrVQrVo1tGzZEoMGDYKrqysAxWq3AYqLMqNOASX0JY2oRCIBY0xhOwM4wcHBmDdvHvLz8/nXrKys0L59e7Rp00ZufJSlEQWAzMxMeHh4IDQ0FHXr1kVBQQHevXvHv9+4cWM4OjqiTZs2cHR0xNChQ/H48WPs27cPLVu2VNhYUVykfWkuKQOKTcnWrFmD7du3Y8GCBRg+fDgKCgqgrq6OrKws7Ny5E1u2bAEAdOzYEQKBAGKxGM+fP8ebN29Qr149eHh48CemHEXIL4qLNK7uN2/ehIeHB5KTk/mRE2pqamjdujUcHR3RqlUrNGzYENWrV1eqVZLoOFOyrVu3Yv369ZgzZw7GjRuH/Px8aGhoIDMzE5s2bcLu3bsBAI6OjmCMIT8/H3FxcXj37h3q16+PadOmwd3dvWp3ogJQXJQXdQooGWpES/fzzz/j6NGjMDExQWJiIv86xeejN2/eYOTIkdDV1YWXlxcKCgqwY8cOBAcHIzc3l9+uefPmuH//Ppo2bYpt27bBxMSkCmtd8Sgu0iiX5KPYyMdNTuXn54f69esjLy8PmpqaOHfuHObPn486depg/Pjx6Nu3LwDg9evX+Pfff+Hn54cbN27AzMwM+/fv5x/NURQUF/nmzp2LkydPomPHjsjMzERUVBT/nr6+Pt8Z27JlS6V6ZIeOM/JNnz4dISEhCAgIgJWVFX/xe/bsWXh4eKBJkyaYOHEiunfvDqDwDvq///4Lf39/XLt2DTVr1oSfnx8aNmz4TXeufYrioryoU0CJUSMqjTt4hYeHY+zYsejevTs8PT0RERGBgwcP4tatW/y2yhgfDvfIxLlz5zBt2jRYWlri6NGjAApjeP78eRw8eBBhYWEACmfAFggE6Ny5M9q0aQMbGxs0bNgQurq6Vbkb5Y7i8hHlknwUm5Ldvn0bQ4cOhaOjI3bu3Cn13qJFi3Do0CGsX7++2B1voHC0zs8//4yzZ89iwoQJmDVrVmVVu8JRXEp248YNjBw5Et27d8eGDRuQlJSEY8eOISAgAC9evOC3q1evHtq3b4927dp99qOT3xI6zpQsPz8fK1aswP79++Hj44M2bdrwbfiyZcvg5+eHbdu2oXPnzsXK5uTkYPHixThx4gS+//57rFy5svJ3oIJQXJQbdQooMWpEZUtNTUX//v3x5s0bREREQF9fH0DhjLzHjx+XG5/27dvDwsICpqam0NTUrKLaVx6JRILff/8dfn5+GD58OGbOnCl1QSsWi9GxY0d8+PABIpGIf10gEOCvv/4qdRbbbxXF5SPKJfkoNrItWLAA/v7+0NTURO/eveHu7o7WrVsjKysLU6dOxdOnT3H9+nWpMkUnjgsODsbMmTPRt29frFq1SmHmfaG4lCw+Ph4jR45Ebm4ujh07BmNjY/69Bw8eICAgACdOnMCHDx/4162srNCpUye0aNECDg4O0NPTq4qqVyg6zhTHdZhs374da9asQa9evfgVtXJycrBgwQJcuXIF4eHhAMB3jhSd0yUyMhJjxoxBu3btsH79eoU4J6a4EMVpEchnq1u3LurWrYvIyEgkJSXB2NgYP/30E4KDgxEQEIDhw4ejevXqiI+Px6FDhzBr1izMmjUL3t7eOH/+PDIyMqp6F8qdWCxGjRo1YG9vDwC4dOkS/7qJiUmJ8Zk5cyZ+/PFHREdHV+EeVB6BQIBZs2bBxsYGvr6+fEPBTbT3/PlzpKamonv37jh37hwmTpyIOnXqQCKRoFGjRgAKGxNFQ3EpRLkkH8VGPk9PT0yePBm1atWCv78/Vq5cif3790NPTw81atSAhYUFAPBrqAOFJ6fcfDeOjo7Q0dFBfHw8MjIyFObCl+Iin1gsRr169dCgQQOkpqbyucE9S29lZYUFCxbgxo0b2LFjBz/s+cGDB9i2bRumTJmC9+/fV1X1KwwdZ2TjLmY7deqE7777DsHBwfj777+RlpYGLS0taGlpQVdXFykpKVKjJVRUVPi8ad26NfT09PDq1Svk5ORUyX6UN4oLUZxWgXwWakSlcRdh3AlUgwYNABQu3QgUHvQYY/yd3U/jww3ZfPv2LRo2bFjJta8aEokEurq6WLZsGQwNDbFo0SK8fPmSX/fa19cXANC+fXvUq1cPM2fOxMWLF3Hs2DFYWloq7LNmyh4XyiX5KDal09XVxcSJE7F06VK4urri8ePH+P3339G7d2/cunULiYmJyMzMLDbpLXcx/Pz5c2RlZUFLS0uh7vxSXORTVVUFYwydO3dGw4YN+eMnN4GeRCLhc6pDhw7YsGEDoqKisGLFClhZWaFWrVqoX79+ldW/vNFxpmyEQiH69esHiUSCjRs3YufOnXj+/DlatmyJhIQExMTE8Ntyo264fPr333+RkZGBmjVrKtwcHRQXJcaI0pJIJOyff/5hrq6u7OLFi1LvicViVlBQIPVadnY2CwgIYP369WOOjo6VWNOKJRKJir2WkpLCTp06xW7evCmzjKz4ZGVlsbCwMLmfqYjEYjFjjLFdu3YxoVDIxo0bx5KTkxljjNnb2zNnZ2f25s0bxhhjeXl5fDmJRFL5la1EyhoXyiX5KDafLyUlhfn5+bGuXbsyoVDIhEIha968OTt79qzcMitWrGBCoZDt3buXMaaYMaK4MPbq1Sv+39xxMycnh927d4+9ePFCbjmRSFRs3zMzM/n3vnV0nPl8Bw8eZE5OTkwoFDI3Nze2bNky1rx5czZw4EB269Ytvj0vytPTkwmFQubr68sYY8XipwgoLsqH5hRQInFxcXxvOPv/u5G5ubl48uQJqlevDjMzM5nluB7AoncgsrKyoKOjA7FY/M0vU7ho0SI4OTmhS5cuACD1rGVubi6qVatWYnlZ8VE2IpEI8+bNw+nTp7FixQrUrl0bY8aMwcCBA7Fs2bKqrl6VUba4UC7JR7H5cgUFBTh06BA/ymbu3LlwcXEBUNgWZWdnQ0tLC/7+/li9ejX09PQQEhICfX39b37kTUmUNS7Z2dno1asXZsyYgX79+n3x54hEIggEAoV6lIKOM2XH5UB2djZCQkKwe/duPHr0SGobOzs7dOrUCWZmZjA1NUVWVhZ2796N0NBQmJubY9++fdDT0/um8+lTFBflRZ0CSoIaUdkSExPh5OQEMzMzWlv1C3EH/fT0dPzvf/9DSkoKtLW1kZSUhA0bNqBLly4K0Xn0uZQtLpRL8lFsvgwrMlFeXl4ebt68iffv38PJyYkfAr9lyxYEBwcjJycHcXFxMDQ0xI8//ojx48cr3GR6HGWPS0xMDAYPHgwA6N+/P8aPH88v66rMFyF0nPl6wcHBOHDgAD8XEFC4fKOenh7S0tIgEAggkUhgY2ODyZMno1OnTkrxnaO4KAfqFFAS1IgWx+13WFgY1qxZg0ePHsHd3R3jx4+HUCiERCIBgG/65KmycCeZZ8+exYIFC5Ceno6mTZvCx8cH1atXr+rqVRlliQvlknwUm/L1aXtlaWnJ/7tu3bqYPn06evbsCU1NTaVq25QtLk+fPoWXlxfOnTsHGxsbzJgxA+3atQOgnOc0dJz5ckU72TiPHz9GWFgYgoKCkJCQAC0tLX4Uhbu7O/r374/GjRtXVZUrBcVF+VCngBKhRrQ49v9Lqdy5cwcbN27E9evXYW9vj7lz58La2rqqq1flZDUKpfH29kZAQAB69OiBWbNmKeR3i+JSHOWSfBSbkpUln2TlS15eHnx8fJCdnY1mzZrBwsJC7mNw3yKKi2zcPicmJsLX1xd79uyBvr4+Jk2ahEGDBinM6KvPRceZkpUln2SNoklMTER8fDxq164NHR0dGBgYVHBNKxfFhXCoU0BJUCNaNn5+fti6dStSUlIwYcIEDBkyBLVr14ZYLIZAIFCoi7iyOHz4MD58+ABHR0eYmppCV1e3TDGIi4uDpqYmjI2Nv/mhqrJQXEpHuSQfxUbal+aToqO4lM2VK1ewdu1aPHjwAG5ubhg/fjw/UkLRj7MloeOMtM/NJ3lxUqTH/gCKC/mIOgWUFDWi0riDWV5eHi5cuID169fjxYsX6NevH+bOnau0S6sMHjwYd+/ehampKRwcHNCxY0c0a9YMxsbG0NLSKra9snx3KC7yUS7JR7GR7XPzicPdGVXU3KK4lKzocfXBgwfYsmULzp07B2tra3h4eKBNmzZVXMOqQccZ2b4mnxS5A4XiQjjUKaBkqBEtm8zMTGzYsAH79u2DoaEhZsyYgR49ekBXV1epekODg4Mxb9485Ofn869ZWVmhffv2aNOmDczNzVGjRg1+PWiOojcWFJeyo1ySj2JT6EvzSdFRXD6fv78/vLy8kJycjHHjxmH48OGoXbs2JBIJVFRUlO74C9BxhkP5JBvFhXCoU4BQI1pE0Tss6enpOHr0KNavXw/GGCZMmICJEycqVTwA4Oeff8bRo0dhYmKCxMRE/nU1NTW0bt0ajo6OaNWqFRo2bIjq1atDTU2tCmtbeSguJaNcko9iUxzlk2wUl7LhLm7z8/P5kZBPnz5Fr169MG/ePNSuXbuqq1jp6DhTHOWTbBQXAlCngFKjRrRsYmNjsWrVKly+fJmfoNHe3h5qamoKPSycu6sdHh6OsWPHonv37vD09ERERAQOHjyIW7du8dvq6+ujTZs2cHR0RMuWLRX6+VeKy5dT1lwqC2WNDeWTbBSXryMSieDl5QUfHx9oa2tj5syZcHNzQ/Xq1ZXq7vin6DhD+VQUxYUURZ0ChKcsjahEIkFOTg60tbVLPJhxqaGiooK4uDj4+PjA19cXdevWxcyZM9GnT5/KqnKVSk1NRf/+/fHmzRtERERAX18fQOHMs8ePH0dAQABevHjBb1+vXj20b98e7du3h4WFBUxNTaGpqVlFta84FBfKpZJQbD4P5ZNsFJdCycnJyM7OhomJSan7w52vpKam4sSJE9i6dStycnIwbtw4TJkyRWHOZQA6znwuyifZKC4EoE4BhUaNqGwBAQEICwuDm5sbLC0tYWRkVOaDWUhICDZs2IBnz56hZ8+e8PDwQN26dSu4xlWH+17MmzcPJ06cwKpVq9C3b99inUQPHjxAQEAATpw4gQ8fPvCv165dG2vXroWdnV1VVL/CUFwKUS7JR7EpO8on2SguH02YMAFPnjxB79690bZtWzRp0gQGBgZQV1cvtWx8fDz++usvBAcHo0GDBti8eTPMzc0rodYVj44zZUf5JBvFhXDooRAF9uuvv5a5EeUSv0aNGhg9ejS6du2Kv/76C1u2bMGpU6cUqhHduXMnYmNjERQUBKFQCCcnJ7Rr105ufAoKCpCQkICGDRuie/fuqFevHry9vREYGIjevXsrZCPKDSnjvhcNGjQAAKSnpwMovNvAGINYLIaamhqsrKxgZWWFBQsW4MqVKzh8+DDOnDmDt2/fomHDhlW1G+WO4iKNckk+ik3pKJ9ko7hIKygowOPHj/H27Vt4e3tj586daN26NTp37gw7OzuYmZlBT09Pauj7y5cvER0dDUdHR9SrVw9z5sxB7dq1sXv3bv4uqCKg40zpKJ9ko7iQT9FIAQVVUFCAbt264e3btwA+ThZS1kZUX18f8fHx8PX1xe7du3H58mUYGxtX1e6Uq9OnT2PZsmVIS0vjX1NXV+eXYrGzs0ODBg2gpaUFTU1NnDp1Ctu3b8fs2bPh5OQEoPCgefjwYYwbN66qdqPCyHpUJDU1FdevX4eJiQlat25drIxEIoFEIpGafCY7Oxu3b99Ghw4dFOLxE4pLcZRL8lFsSkb5JBvFRbbw8HDMmjVLKp8AwNDQEO3atUOHDh1gbW0NIyMj6OvrY/78+bh+/Tq8vLyk7mDGxsaicePGCvP8PB1nSkb5JBvFhchCnQIKjBpR2fLz87F48WIcPXoUZmZm0NXVRXR0NP8+F5/27dujc+fOGDt2LGJiYnDgwAG0bNlSYeIgz6JFi+Dk5IQuXboAkF7GMjc3F9WqVSuxvFgsBgCFaxwoLsVRLslHsSkZ5ZNsFJfixGIxBAIBtmzZgo0bN6Jjx45o2bIlTp8+jWfPnvHbmZmZoUOHDrC3t8fs2bNRr149HDx4EIaGhgqbT3ScKRnlk2wUFyILdQooKGpES5aWloYxY8YgKysLmzdvRu3atbFnzx4cP34ccXFx/HampqZISEiAhYUFNm3ahDp16pTpGcZvVWJiIpycnGBmZoZp06bB3d29qqv0n0BxkY9yST6KjWyUT7JRXEqWlpaGSZMm4fnz51i7di0cHR1x7949HDt2DKdOnZJ6zhkAbGxs8Msvv8DExAQ1atRQ2Jyi44xslE+yUVyIPNQpoOCoES2O6+y4e/cuRo0aBQMDAwQFBUFLSwtA4WQqhw4dQlBQENLT06GmpgaRSAQbGxu0bdsWDg4OsLS0RI0aNap4T8oX93xZWFgY1qxZg0ePHsHd3R3jx4+HUCiERCIBAIXtKJKH4iIf5ZJ8FBvZKJ9ko7iUzYsXLzB48GAwxnD06FGYmpry7126dAknT55EYGAg/5qGhgbatGmDVq1aoVevXvxz04qCjjOyUT7JRnEhJaFOASVAjWhxXEO6detWrF+/Hj179sTChQuLNYwdOnRAeno6CgoKpF7/448/8MMPP1RmlSsFYwyMMdy5cwcbN27E9evXYW9vj7lz58La2rqqq1dlKC7yUS7JR7GRjfJJNopLyUQiEdTU1HDy5EnMnTsXDg4O8PLyKpZPlpaWMDMzg4GBAe7evcu/vmfPHjg4OFR2tSscHWdko3ySjeJC5GJEoRUUFDDGGDtx4gQTCoVsxIgRLCUlpdh2QqGQde/enQ0aNIgJhUL+v4iIiMqucqXKy8tjEydOZEKhkB08eJAxxlhWVhZjjLH79+8zoVDI5syZw/Lz85m/vz8bMmQIEwqFLCYmhjHGmFgsrrK6VwZfX1/m6OjILC0t2bp169ibN28YY4yJRCImkUiquHZVh+JSHOWSfBSbklE+yUZxkS0nJ4d5enoyoVDI/vrrL8YYY7m5uYwxxv7++28mFArZnj17GGOMxcXFsY0bN7IffvihyupbWeg4UzLKJ9koLoRDnQJKghrR4riDXVJSEuvSpQuztrZm0dHR/PsLFy5kQqGQ+fv7S5VLSkqSKq+IRCIRY6zwO3L69Gnm6urKhEIh8/T0lNmppCwoLrJRLslHsZGP8kk2ikvpPnz4wNzc3FjTpk2lbl707NmT2dnZsXv37sksp6gXvnSckY/ySTaKC/kUdQooEWpEi+MOisePH2fW1tasX79+LD4+njHGWKtWrVjXrl3Z27dvGWOFvfBcLBS5AZUlIyOD/f7776xZs2asQ4cO7PDhwywjI4Mx9jGGyoji8hHlknwUm7KhfJKN4iKN2+ebN2+yVq1asY4dO7Lk5GT29u1bJhQK2YQJE/htxWIxP2JS0dFxpmwon2SjuBCaSUJJiMVi6OnpYcmSJdDW1sacOXOQkpKCxMREPHv2DPb29mjRogWAwufTRCIRX1aRJxzhllPp06cPBg4ciAcPHuD06dO4cOECMjMz0a5dO5iYmAAonGuBi4WKikqV1bkyMcYgkUigq6uLKVOmYM6cOcjMzMTy5cuxd+9eMMaUckkaiktxlEvyUWxKRvkkG8XlI24CNKDwnIQxBltbW4wbNw5JSUnYtm0bvLy8AADOzs4APq7CVHRddUVGx5mSUT7JRnEhHJpoUIEVXVKQ+zNLJBJs374dXl5eGDFiBDIzM3H06FEsXboUgwcPhlgsVrjkZ/8/2yr3/09x+ywSiTB8+HA8ePAAurq6yMjIwPr16+Hi4qKQcflSsbGxWLVqFS5fvgwbGxvMmDED9vb2UFNTU+hlLEujDHGhXJKPYlO+lCGfvoSyxKWs+yIWizF+/Hhcu3YNKioqMDU1xe7du1GvXj25ufgto+NM+VKWfPpcFBflRJ0CCoQa0ZLl5OTg1atXMDIygkgkgkQigbGxsVTMbt68iXnz5uHNmzewsrLCnj17oKurW4W1rngSiQQ5OTnQ1tYu8W/PHSpUVFQQFxcHHx8f+Pr6om7dupg5cyb69OlTWVWuFBQX+SiX5KPYyEb5JBvFRb7ExES8efMG9+7dg5GREXR1daGhoYEGDRqgTp06/HYvX77ErFmzEBMTA1dXV6xZs6YKa1056DgjG+WTbBQXUhbUKaBgqBEtLj4+Hj4+Prh16xbi4+ORkZEBS0tL1KlTB/Xr14eVlRVsbW35pRePHDkCPz8/uLi4YOrUqQrfKxoQEICwsDC4ubnB0tISRkZG0NTULFPZkJAQbNiwAc+ePUPPnj3h4eGBunXrVnCNKwfFpTjKJfkoNiWjfJKN4lJcdnY2QkJCsHXrVrx8+ZJ/XVNTE7Vr14apqSksLCxgb28Pa2trGBkZITIyEidOnEDXrl3RqVMnhb0bTseZklE+yUZxIWVBnQIKghpR2a5fv47169fjzp07AIDvvvsOz58/598XCATQ09NDo0aN4ODgABcXF7Rs2RKZmZnIy8tDzZo1Fb4RdXNzQ2xsLABAKBTCyckJ7dq1Q5MmTWBgYAB1dXWp7QsKCpCQkICGDRsCAB48eABvb2+cOXMG27ZtQ+fOnSt5DyoGxUUa5ZJ8FJvSUT7JRnEpbsOGDdi+fTsKCgrQvHlzNG3aFE+ePEF8fDyysrKQm5sLgUAAIyMjWFtbo0uXLujZsyc0NDQgEokUdg4BOs6UjvJJNooLKQvqFFAQ1IjKNmTIENy5cwfDhg2Ds7MzLC0tIRAIEBkZidu3b+Phw4d48eIF3r17B1VVVVhYWKB3794YNWqUwj5G8anTp09j2bJlSEtL419TV1eHg4MDOnbsCDs7OzRo0ABaWlrQ1NTEqVOnsH37dsyePRtOTk4AgPT0dBw+fBjjxo2rqt0odxQXaZRL8lFsSkf5JBvFRdrbt2/RvXt36OnpYdWqVbC2tkb16tUBFI6EvHXrFu7cuYN///0XsbGx+PDhA2rVqgUXFxdMnDhRoe9g0nGmdJRPslFcSFlQp4ACoEZUtsjISAwfPhwdO3bE9u3bZW6TmpqKu3fv4urVq7h69Srf6962bVt4enrC0tJSoedZAID8/HwsXrwYR48ehZmZGXR1dREdHc2/b2hoiHbt2qF9+/bo3Lkzxo4di5iYGBw4cAAtW7ZU2DsPFJePKJfko9iUDeWTbBQXaVu3bsX69esxe/Zs/PTTTwA+riJQND/i4uIQERGBs2fPIjQ0FABgYmKCFStWoH379lVS94pEx5myoXySjeJCyoI6BRQANaKy/fnnn9i5cydWrlyJ77//Hvn5+dDQ0ABjDIyxYge4p0+f4uTJk9izZw9ycnLQvXt3LF++nO9gUWRpaWkYM2YMsrKysHnzZtSuXRt79uzB8ePHERcXx29namqKhIQEWFhYYNOmTahTp06xYWeKhOJSiHJJPopN2VE+yUZx+WjixIm4dOkSjh07BktLS6mRjLJySiKR4MqVK9i+fTtu3rwJGxsbrFmzBqamplW1CxWCjjNlR/kkG8WFlIY6BRQANaKyLVu2DH5+fvjnn3/Qrl07mY9JyIrPs2fPsGDBAty+fRuzZs3ChAkTKrvqlYrrAb579y5GjRoFAwMDBAUFQUtLC0Dhs2SHDh1CUFAQ0tPToaamBpFIBBsbG7Rt2xYODg6wtLREjRo1qnhPyhfF5SPKJfkoNmVD+SQbxeWj/Px8/Pbbb/D398fOnTvh6Ogod66jT3MqOTkZ8+bNw7Vr1zBt2jRMmTKlsqtfoeg4UzaUT7JRXEhZ0FiQb1x+fj5q1aoFAEhJSQEAqdEBKioqfAPBGOMPDJ06dcK6devQvn173LlzB8eOHav0ulc0a2trAICPjw8ASHWUcIrGRyKRQCQSoVGjRhg1ahQA4Ny5c8jMzKzMalc6gUAAiUSCli1bYsKECXj79i1++eUXpKamAgCsrKywZMkSREREoFatWvz3686dO9i2bRt+/PFHXLp0qQr3oGJQXD6iXJKPYlM2lE+yUVwKMcagoaGBJk2aAAD27t0LiUQid/LjojklFotRq1Yt/PTTT1BTU8ONGzeQkZFRaXWvDHScKRvKJ9koLqQsqFPgG0aNaMlatWoFoVCIS5cuYeXKlYiPjwcAuc/TCQQCvqF1dXVF8+bNkZCQgNevX1danasK970YO3YsnJ2dERQUhHPnzgEoXNkCAKKjo5GcnIwePXrg33//xe+//w5bW1sAQIsWLQAUnogoEopLIcol+Sg2ZUf5JBvFpTBfGGMYMGAAWrVqhUuXLmHMmDG4evUqHwN5uHOeVq1aoVatWoiLi0NeXl5lVLvS0HGm7CifZKO4kFIx8k2TSCQsIyODDR06lAmFQjZy5Eh25coVlpWVVaby+fn5zMnJiTk7O7N3795VcG0rn6+vLxMKhUwoFLLx48ezU6dOsbdv3zKRSFRsW7FYzCQSCWOMsYKCAubs7Mzs7OxYRkZGZVe7SnD7npSUxLp06cKsra1ZdHQ0//7ChQuZUChk/v7+UuWSkpKkyisaikshyiX5KDZlR/kkG8Xlo+DgYNapUycmFApZnz592JYtW9j9+/dl5ohYLGYFBQWMMcYePnzImjZtyn744YfKrnKloONM2VE+yUZxISWhkQLfOBUVFejq6mLkyJEwMTFBREQEVq9eDR8fH0RHR8scKsYNKwOA2NhYJCUlwdDQkH8MQZEMGzYMGzduROPGjXH58mX88ccfWL16NU6dOsWvxMD1ehadmDEkJASvX7+Gvb09dHV1laJnVEVFBWKxGEZGRpg+fToAYMGCBUhISABQuKRN/fr10aFDBwCFj65IJBIYGRkp9IzGFJdClEvyUWzKjvJJNorLR66urvDy8oK9vT0eP36M9evXw9PTE5s3b8aFCxfw7Nkzfmk17o64RCLhR0u6u7sDAH+eoyjoOFN2lE+yUVxISRRzcXol5OrqCmNjY6xduxY3b97E48ePcfr0aXTo0AH29vZo2LAhDA0NYWhoCIFAwD9fJKsR/XTymm8VdwDj1lg9ePAgrly5gsDAQAQGBsLc3BytWrWCubk5TExMYGJiAmNjYxw+fBgHDhwAAAwfPpz/LGXADcPs06cP7t27B19fX5w+fRqNGzdGZmYmevXqBRMTEwCAhoYGX07RGwpljwvlknwUm8+n7PkkD8WlEGMMtra2WLJkCY4fPw5/f388efIET548wd69e2FlZQULCwvUrFkT+vr60NbWxv79+/H48WOYm5ujX79+ACD3UcpvER1nPh/lk2wUFyIPrT6gILgGIzY2lm9EuQlE1NTUSm1E9+7dCwMDA4XvCbx58yYOHDiAM2fO8HcRBAIB9PX18eHDB6ioqEAkEkFXVxejR4/G1KlTq7jG5Y/7G8v7W3OzPYtEIgwfPhwPHjyArq4uMjIysH79eri4uMidEfpbRnH5PJRL8lFsKJ/kobh8vvz8fAQHB+PIkSOIiIjgX+dubnDs7e0xbdo0ODg4KPy5DEDHGYDySR6KC/kS1CmgoKgRLVleXh7Onz+PCxcu4OXLlxCJREhPT0deXh46dOiATp06wc3NDQAUNi45OTl49eoVjIyMIBKJIJFIYGxsLLWc0c2bNzFv3jy8efMGVlZW2LNnD3R1dauw1hWP4vJ5KJfko9hQPslDcfkyycnJuHz5Mh4+fIjc3FxIJBLk5+eje/fusLGxgZGRUVVXsdLRcYbySR6KC/kc1CmgBKgRLVlmZiYSExNhbGyMgoIChV+HNT4+Hj4+Prh16xbi4+ORkZEBS0tL1KlTB/Xr14eVlRVsbW3RoEEDAMCRI0fg5+cHFxcXTJ06lV/WUtFQXL6esuXS51C22FA+yUZxKT85OTn8OuukEB1nKJ8Aigv5MtQpoGSoES2dIh8Mr1+/jvXr1+POnTsAgO+++w7Pnz/n3xcIBNDT00OjRo3g4OAAFxcXtGzZEpmZmcjLy0PNmjUVMj4Ul4pBMZFPkWND+SQbxaX8lTZMWtkp8veF8kk2igv5UtQpoISoEVVeQ4YMwZ07dzBs2DA4OzvD0tISAoEAkZGRuH37Nh4+fIgXL17g3bt3UFVVhYWFBXr37o1Ro0Yp9HeF4kJI+aF8ko3iQkj5oXySjeJCvhR1ChCiJCIjIzF8+HB07NgR27dvl7lNamoq7t69i6tXr+Lq1at873Lbtm3h6ekJS0tLhetMorgQUn4on2SjuBBSfiifZKO4kK9BY0MIURIXL14EAH7Cofz8fACFI0e4ySdr1KgBZ2dnLFiwABs3bsSECROgpaWF8PBwbNmyhZ/RWJFQXAgpP5RPslFcCCk/lE+yUVzI16BOAUKURG5uLgDw689yz4upqKjw/y7acDRp0gSzZs3CkSNHYGdnh5CQEOzfv78Kal6xKC6ElB/KJ9koLoSUH8on2Sgu5GtQpwAhSsLa2hoA4OPjAwBQU1MDUNhAcIo2HBKJBCKRCI0aNcKoUaMAAOfOnUNmZmZlVrvCUVwIKT+UT7JRXAgpP5RPslFcyNegTgFClESrVq0gFApx6dIlrFy5EvHx8QAgd5iYQCDgGxRXV1c0b94cCQkJeP36daXVuTJQXAgpP5RPslFcCCk/lE+yUVzI16BOAUKURL169TBo0CAAwO7du/Hbb78hMDAQiYmJEIvFxbaXSCR877JIJEJqairy8vJQt27dSq13RaO4EFJ+KJ9ko7gQUn4on2SjuJCvoVbVFSCEVJ5hw4bB2NgYXl5euHz5MqKjo9G2bVt06tQJzZs3h5GREXR1dSEQCKTWqA0JCcHr16/RuXNn6OrqKtwathQXQsoP5ZNsFBdCyg/lk2wUF/KlaElCQpQEt8RMfn4+QkNDcfDgQVy5coV/39zcHK1atYK5uTlMTExgYmICY2NjHD58GAcOHEBycjJ27NiBDh06QCwWQ1VVtQr3pvxQXAgpP5RPslFcCCk/lE+yUVzI16BOAUKU2M2bN3HgwAGcOXMGIpEIQOEzZvr6+vyyNCKRCLq6uhg9ejSmTp1axTWuHBQXQsoP5ZNsFBdCyg/lk2wUF1JW1ClACEFeXh7Onz+PCxcu4OXLlxCJREhPT0deXh46dOiATp068evecj3RyoDiQkj5oXySjeJCSPmhfJKN4kJKQ50ChBApmZmZSExMhLGxMQoKClCjRo2qrtJ/AsWFkPJD+SQbxYWQ8kP5JBvFhchCnQKEkBLRZDOyUVwIKT+UT7JRXAgpP5RPslFcCECdAoQQQgghhBBCiNKibiFCCCGEEEIIIURJUacAIYQQQgghhBCipKhTgBBCCCGEEEIIUVLUKUAIIYQQQgghhCgp6hQghBBCCCGEEEKUFHUKEEIIIYQQQgghSoo6BQghhBBCCCGEECVFnQKEEFJFAgICIBQKv/i/gIAARERE8D9HRERU9S6Vi40bN5a4382aNYOtrS26du2K6dOn4/Tp02CMVUldPT09IRQK4eLiUum/e8SIERAKhfD09PyickX/+9zP+K/Lzc2FtbU12rRpA4lEUuZyXxpTAFK5GB8fL3e78PBwCIVCTJky5bN/h7L42uMa93ccMWJEBdSuEFe/jRs3fnbZose4z3Hu3DmZx8SSvm+EEFIW1ClACCHkmyISiZCdnY24uDicOXMGs2bNwsiRI5GZmVnVVSP/EeHh4cjLy0OHDh0gEPy3TnVCQ0MBAE5OTlVcE0IIIaSQWlVXgBBClFWfPn3g6uoq8z13d3e8fv0arVq1wvbt22Vuo6mpiejoaDRo0AAAUK1atQqra1UJDAxEnTp1pF5jjCE3NxcvXrzA+vXrcePGDdy4cQOLFy/GmjVrKrV+NWvWRIMGDVC7du1K/b3loeh3S11dvYprU764C+9OnTpVcU2Ku3z5MoD/Zt3If5uzszNu374NADh58iQWL15cxTUihCgK6hQghJAqoqamBjU12YdhFRUVAICqqip0dHTkfkbLli1x9uzZCqnff0G1atVk7r+uri5q1aqFHTt2YNCgQXj06BFOnTqFKVOmoFGjRpVWv7lz52Lu3LmV9vvKU2nfrW/Z5cuXIRAI0LFjx6quipSEhAQ8ffoUFhYW32RHEqlaRXNWQ0OjimtDCFEk/60xdYQQQshn0NTUxJgxY/ifL1y4UIW1If8FsbGxiI+PR/PmzVGjRo2qro4UGiVACCHkv4hGChBCyDcsIiICI0eOBADs2bMHbdq04d/jJrHas2cPzM3N4e3tjfPnzyMxMRGGhoZo27Ytpk6dyj9+cOnSJfj4+CA6Ohq5ubn47rvvMHjwYAwdOlTu73/9+jV2796NsLAwvHnzBioqKqhfvz6cnZ0xevRoGBoaVuDeF2ratCn/74SEBJnbhIaGwt/fH1FRUXj//j10dXXRrFkz9OvXD25ubvzIjKK4+P3zzz9ITk7G5s2bkZCQgBo1asDNzQ3z58+Hp6cnjh49ClNTU5kdEnl5eThy5AiCgoIQExODrKwsGBoawtbWFgMGDCj14vDy5cvw9fXFw4cP8eHDBzRo0ADff/89/zevCBX5vXFxcUFCQgJWrFgBV1dX7Ny5E0FBQUhISICenh5sbW0xefJkWFlZAQBu376NHTt2ICoqCpmZmahXrx769OmDcePGyX3kobQL76+JaWpqKvbs2YPz588jPj4e1apVg729PSZPnlx6YFH8sYbNmzdjw4YNAIDz58+jXr16Msu9fv0aLi4uYIxh06ZNuHjxIo4cOQItLS1cu3YN2traMstFRkZi2LBhAICjR49i1apVCA8Pl/t95Rw7dgzz58+HmpoaLl++jCFDhuDVq1dwcHDA3r175Zbj9sfAwABXrlwpt8dSXrx4AW9vb1y7dg0pKSkwNDSEnZ0dfvzxR7Rs2bLEsmKxGP7+/jh69CiePHkCiUSCBg0awM3NDaNHjy6XO+4ZGRnYsWMHzp49i/j4eGhpacHCwgJDhgyBm5tbqeWvXbuGPXv24M6dO8jOzoaJiQmcnJwwfvx4mJiYfHX9CCGkNNQpQAghCu7Zs2fw8PDAu3fv+NcSExNx/PhxhIWFISAgAPv374e3t7dUuUePHmHp0qWIi4vD/Pnzi31uYGAgfv75Z+Tl5Um9/vjxYzx+/BgHDhzA5s2b0bp164rZsf9XdCI5VVVVqffy8/Ph6emJwMBAqdfT0tJw5coVXLlyBQEBAdiwYQN0dXVlfv6ZM2dw4MAB/ufExEQYGBiUWq8XL15gypQpePr0qdTrSUlJOHPmDM6cOYNevXph5cqV0NTUlNpGLBZj6dKlOHjwoNTrMTExWL16NS5dulQs7uWtor43AJCcnIz+/fvj+fPn/Gt5eXk4e/Ysrly5Al9fX9y7dw/Lly+HWCyWqpOXlxcePnzIX0x/St5Efl8b0/v37+Onn35CSkoK/1p2djbOnDmDCxculNh5BhR+FyMiIqCrqws7OzsAhfOKbNy4EYwxnD59Gj/99JPMsqdOnQJjDPr6+nByckL16tVx5MgR5OTk4OLFi3IvPE+ePAkAaNKkCaysrNC3b1+Eh4cjISEBd+7cgY2NjdzfBwCOjo6oWbMm+vTpg02bNiEyMhKJiYlyL1S5POvVq1e5dQicPXsWBw8eRH5+Pv9aUlISgoODce7cOaxatQru7u4yy2ZlZeHHH39EeHi41OuPHj3Co0ePEBwcjH379n3VfCzPnz9H79698ebNG/61vLw8fq6TyMjIEp/9X716NXbu3Cn12qtXr7B3716cOnUKvr6+aNKkyRfXjxBCyoIeHyCEEAW3YsUKZGRkwNPTExcvXkRISAh/VzQ1NRVjxoyBt7c3nJ2dcfjwYURERMDPz4+/Y+zj4yN1wgsAV69exZw5c5CXlwdLS0ts3rwZ165dQ1hYGNatW4eGDRvi/fv3+Omnn/DixYsK3b979+7x//50PoFff/2Vv1AZNGgQAgICcOPGDZw+fRqTJ0+Guro6rl69ilmzZsld1vDAgQOwsLDAgQMHcOXKFfz111/o169fiXVKS0vD2LFj8fTpU6irq2PixIk4ffo0IiIicPDgQX6CydOnT+Pnn38uVn7Lli38xWvXrl1x+PBhhIeH4+DBg+jcuTNu3LiBu3fvlj1IX6AivjecTZs24dWrV5g0aRJCQkJw8eJFzJ49GyoqKsjJycHs2bOxbNkyWFtbY8+ePQgPD8eRI0fg4OAAoLCjhptwraisrCxERkaiRo0aaN68udR7XxNT7u+ZkpICAwMDLFu2DJcvX0ZoaCgWLVqEatWqwcfHp8R43rhxA9nZ2Wjfvj1/wVy/fn2+g4C7EJeFe69Hjx7Q0NCAg4MD6tatW2I5kUiEM2fOACjsfACA7t278xfA8sqlpqbi+vXrUuW4/0skEgQFBcks9+DBA8TGxkptXx727t0LXV1d/Pbbb7hw4QLOnTuHX375BVpaWhCJRFiyZInclUeio6MRHh4OV1dXHDhwANeuXcP+/fthb2/Pv79jx46vql9gYCDevXuHCRMm4PTp0wgLC8PmzZthamoKANi3bx9u3Lght/zOnTvRtGlTbN26FVeuXMHJkyf5Dqa0tDQsXbr0q+pHCCFlQZ0ChBCi4PLy8rB27VqMGTMGdevWhZmZGX799VeYm5sDKLzT1alTJ2zduhXW1tYwMDBA69atsW7dOgCFd1iLrhUuFouxcOFCSCQSWFtb49ChQ+jatStq1qwJY2Nj9OrVCwcPHoSpqSmysrKwcuXKCtu3rKwsqRn0u3Tpwr93/fp1nDhxAgDg6emJZcuWoVmzZtDX10fjxo0xY8YMrF27FkDhkHJ5EzYKBAJs2LABtra2MDIyQu/evWFsbFxivf7++2/Ex8dDRUUFGzZswKxZs9C4cWMYGBjAxsYGGzZs4NdQDwwM5O9uA4V347kLlV69emHTpk2wtraGoaEhbGxssHXrVnTv3v0LI1Z25f29+fSzPT09MXPmTJiZmaFu3bqYMGECP6z+5cuXsLCw4B+JMTQ0RPPmzbFp0yZ+VMW1a9eKfe7169dRUFBQbCnCr43p5s2b8f79e6irq2P37t0YNGgQTExMULt2bQwbNgy7du0q9c64vBUR+vbtC6BwhA13UV3U06dP8fjxYwAfL7ZVVFTQu3dvAEBYWBg+fPhQrNyVK1eQlpYmta2uri66du0KAAgODoZEIilWLigoCCKRCDo6Onw+mZmZwdbWFgCKjbrhcKMSGjRowG9bHrS1tbF//34MHjwYpqamqF+/PkaNGgUPDw8AhUP3Px0JUNTgwYP5/K1Zsybs7Oywc+dOfrTDuXPnvrqOK1euxOzZs9G4cWMYGxuja9eu2Lp1K/9+Sb/D0tIS+/fvh4uLC4yMjGBhYYHFixfz38ebN2/K/PsSQkh5ok4BQghRcI0bN5a6WOZwdygBYOzYscWeq2/cuDH09PQAFF5UccLCwvhn9z08PIoNfQcAAwMDTJo0CUDhM+dFh6B/jtzcXGRlZUn99+HDB7x48QIBAQEYMGAAPwR95MiRUsOa9+/fDwAwNTXFqFGjZH5+9+7d+TgcOnRI5jaWlpb47rvvylxniUSCI0eO8J/v4uIic7t58+ahVq1aUnUFCi8gcnNzIRAIMH/+/GJ/F4FAgF9//VXqorcilPf3pigdHR2Zw+2LPmoycuTIYs976+vr83+LpKSkYuXlzSfwNTHlhvYDQL9+/aTmsOBYW1vjhx9+kLmvpdWtZ8+e/H7KunvPXWybmpqiVatW/OtcZ0JBQQFCQkKKleM+q3Xr1vyoAuBjx8K7d+9kdtpw5bp16wYtLa1i5e7du4e4uDipMowxfgQB1wFRXvr164eGDRsWe71oJ058fLzMsioqKpgxY0ax1zU1Nfm/w6f78rnMzc1l7rNQKISZmVmpv2PSpElSceZ069YNQGFs5e0fIYSUF+oUIIQQBSdvIq6aNWvy/27WrJnMbbjn7Is+z1v0QsLCwqLYRTv3Hzd8mzEmc6h3Wbi5ucHOzk7qP3t7e7i6uuLnn3/Gs2fPABReIM2aNUuq7M2bNwEAVlZWyMnJkVtP7rnqqKgomY8QyLoILMnjx4+Rnp4OAPxjArJoaGjwF903b97kfzd319Pc3FzusnW1a9dGixYtPqten6u8vzdFNWvWTOZynEVXC/iSz+aWIuzQoYPU618T05iYGH4egZImhuTuwMvy6tUrvHjxAkKhsNjz+NWrV4ezszMA8J0PRXF35nv37i3VmdG4cWM+Rp+Wy8nJwfnz5wF87DzgdOjQge+M+rRcQkICoqKiZJYrOk/Ap6MFIiMj+UdFyvPRAQByRx1w+wAUjhiSxczMTOr7Kqt8dnZ2hdSvrL9DXnkjIyP+319bR0IIKQ1NNEgIIQpO3qR4Re+Kcnd2S9qGU/SuVbt27cpUB3nPln8JNTU16OjooE6dOrC2tkbfvn2LTWaYmZmJ1NRUAIUTlcl7NODTMhkZGahevbrU65+7rF3RfW3cuHGJ23LvF/3dXHnuLmNJZStyXoHy/t4UJW9ViqLl5E38KO+zHz9+jDdv3sDGxqbY539NTN++fcv/m1txQV5ZeeRNfsjp06cPzpw5gxcvXuD+/ft8h9qdO3f4u8yyLrb79u3LPzefkpLCXwBfuHAB2dnZ0NDQQI8ePaTKqKqqws3NDT4+PggJCcGiRYukLvYZYzA2Nkbbtm2lyhkYGMDJyQnnzp1DYGAgJk6cyL/HjWZo2bKlzLv6X0Ped6XopKKyHoMoqWzR8kXLisVi5Obmyi1TrVq1YpOZfu7vKGsdi37Pi062SQghFYE6BQghRMHJW67sS8mb1Ku8ywAlL9NWEnl3DkuTmZlZrFNA1uMRpX0Gp7TYF30/Ozsb1atXR0ZGBgCUOiO6vIvm8lLe35uK/mzuwrtjx47F3vuamBZ9nlvWMG+OvA6SonWTN9LAyckJBgYGeP/+PQIDA/lOAW4of7NmzWR2Ori7u2P16tUQiUQIDg7mlx/kLtKdnZ1l1qtv377w8fHB+/fvcfXqVXTu3FmqnLu7u8zOl759++LcuXOIiYnBkydPYG5ujoKCgmITGpanr1nF4HPLRkZGlrg05afLvn7J7/hUeSyJSAghX4s6BQghhHwW7sKqVq1auHr1ahXXRraiF3/jx4/HnDlzKu13f3qhX5KinRfcBae+vj6AwiHgJZE3NF9Zcc/sy7ob/zUx5coCJf895f09cnNzcePGDejp6ckdKq6uro5evXph3759CAoKwvz586Vm+pd3sV2zZk04OjoiNDQUgYGBGDZsGNLT03HlypUSyzVr1gxNmjTB06dPERgYiM6dO+Pp06eIiYkpsVznzp2hr6+P9PR0BAYGYubMmbh27Rrev38PNTU19OrVS258CCGE/HfRnAKEEEI+CzdpWVpa2n/2Wdfq1avzd325SRHlkbcU4ZfiliIDIHM2+aKePn0KoPAONXfxycWXmy9BHpp87KOMjAxERUWhZs2axZYiBL4upkX/niWVlzeZXEREBPLy8tC+fXuZ8yhwuGf437x5g+joaERFRSE5ORmqqqpwd3cvtVxUVBRSU1MRGhqKgoICGBgYlDgHAlcuNDQUIpGIf8TG3Nxc7jwaRR9H4OYs4Mp16NDhsx+1+a9p06YNHj9+LPe/T0cJEEKIoqBOAUIIIZ+Fe35fLBbj0qVLcrc7efIkbG1t4ebmhsjIyEqqXSEVFRV+pvZr166VeId43LhxaN++PUaPHl0uHQQWFhb8IwjcsGpZ8vPzceHCBQDgJzsEPg4xj42NlXsRmpmZ+cWTNyqiq1evQiQSoUOHDsVWFgC+LqaNGzfmOwa4C2FZuJEKnyrt0QGOjY0NP+fBxYsX+dxq166d1KR6n+rSpQt0dHQgkUgQGhrKl3N1dS1xaDo3cWF6ejpu377NlyvtEQCuMyEmJgbx8fH8/lXEowOEEEIqB3UKEEII+SxdunThL1L++usvfkK/olJTU7FhwwZkZ2cjOTn5s2fwLw+DBg0CALx//x5//vmnzG3Onj2LK1euICUlBQ0aNJB5Qfm5VFVV0b9/fwBASEgILl68KHO7v/76i5/VfuDAgfzrXbt25UcNLF++HAUFBcXKrlu37j87SqMqlDaR39fGlFtu8PTp07h+/Xqx9+Pi4rBnzx6ZZeUtRSgLd2FdtFPg01UAPlWtWjV+lYtz584hLCysTOXq1KkDBwcHAEBAQADu3bsHFRWVUpcUbNWqFerXrw8A2Lx5M5KSkqCjoyNz+UpCCCHfBuoUIIQQ8lk0NDTw66+/Aigcmj9gwAAcO3YMiYmJSExMREhICEaMGIFXr14BADw8PKCjo1Pp9ezSpQs/gZqfnx8mT56MyMhIpKWl4dmzZ9i8eTM8PDwAFM4APmXKlHL73ZMmTYKpqSkYY5g2bRq8vLwQGxuL9+/f4969e5g5cyZ8fHwAFN7RLTpDfPXq1TFv3jwAhXfAx4wZg8jISLx//x6PHj3CvHnz4OvrW2wWdGXFGENYWBhUVVXh6Ogoc5uvjen48ePRsGFDSCQSTJo0CTt27MDr16+RnJyMY8eO4X//+5/M0SixsbGIi4tD06ZNYWxsXOq+cBfy0dHRiImJgba2dolLHX5a7vz58/jw4QPq1avHj5QpS7ljx45BIpHA3t4ederUKbUc13lx9OhRAIXf4U8ncUxMTESPHj3Qo0cPrFmzptTPJIQQUnVookFCCCGfrVevXvjw4QOWL1+OhIQEzJ8/v9g2KioqmDJlCn/HvrKpqKhgzZo18PDwwKVLl3D+/HmZw79r1aqFrVu3Fls//mvo6+tj165dmDhxIp4/f46tW7di69atxbbr06cPli5dWuz1AQMGICUlBevWrcPNmzf5WeU53ERxx48fL7c6f6sePHiAd+/ewdbWVu4yisDXxVRTUxM7d+7E+PHj8ezZM/z5559So08EAgHmz5+PFStWSJUrafJDWerXrw87Ozv+MYauXbuWaaWGNm3aoE6dOvzSi6Xd7ee4urrit99+45fhK+sjAH369MHmzZv5x21klSsoKMDz588BAO/evSvT5xJCCKkaNFKAEELIFxkyZAiCgoIwYsQINGnSBNra2lBXV4epqSn69u2LQ4cOYdq0aVVaR11dXXh7e2Pz5s3o1q0bjI2Noa6uDm1tbTRr1gzTpk3D6dOnYW1tXe6/u2HDhjhx4gQWLlwIe3t7GBgYQENDA/Xr14ebmxt2796NP//8U+5F34QJE3Do0CH07NkTdevWhYaGBszMzDBp0iTs27ev1OX1lMXnDM//mpjWq1cP/v7+8PT0RLNmzaCjo4Pq1aujY8eO2Lt3L9zc3OTWTdYyifIUHfZf1ov0T4f9l7Wcrq4uP+xfU1NTasRKSRo2bMjPg2FiYlLqBHzl8VgOIYSQiqPCynvaZUIIIYT8Z40YMQI3btyAg4MD9u7dW9XVIZ84dOgQFi5cCCMjI4SGhpb5MZF169Zh27ZtaNGiBfz9/cv8+zw8PHDq1Cn06NED69evL3O5IUOGICoqCmPHjuUfzZCld+/ecHBwwMKFC8v82aR0AQEB+PnnnwEUPjZSr169Kq4RIeRbRiMFCCGEEEL+I06ePAmg8GK6rB0CjDG+3Pfff1/m35WVlcWvgPE55eLi4hAVFVVquaysLLx69YpfVYEQQsh/E3UKEEIIIYT8B0RGRuLGjRsACudAKKuTJ08iISEB1apVK/N8AgCwZ88eZGdno3bt2mV6/ILj7e0NoHAZRQsLC5nb5OTkYOHChVBTU0PPnj3L/NmEEEIqH000SAghhCghsViMrKwsAIC6unqJa9qTinP06FEkJyfj/fv32LdvHwDAxcUFjRs3LrGcj48PRCIRXr9+jQMHDgAoXNqSW3pRnk2bNkFbWxsxMTH86gFjxowpcVSCRCLBn3/+CSMjI0RGRvITdo4bN05uGcYY3r59iy1btsDIyKjEOpGyEYvF/KSQ+fn5VVwbQogioU4BQgghRAndunULdnZ2AIB+/fph5cqVVVwj5RQTE4Ndu3bxP+vr62PBggWllrt16xbOnDnD/2xqaooZM2aUWu7ixYu4f/8+/7O1tTWGDx9eYhmBQICjR48iLS2Nf61bt27o1q2b3DLa2tp8JwcpHxcvXizXpVMJIYRDjw8QQgghhFSRFi1awNDQENra2nB0dISvry9MTU1LLWdnZwc9PT3o6emhe/fu8PPzg56eXqnlHBwcoK2tDQMDA/zwww/YuXMn1NRKv0fUtm1baGpqwsjICGPGjMHatWvLtH+EEEL++2j1AUIIIYQQQgghREnRSAFCCCGEEEIIIURJUacAIYQQQgghhBCipKhTgBBCCCGEEEIIUVLUKUAIIYQQQgghhCgp6hQghBBCCCGEEEKUFHUKEEIIIYQQQgghSoo6BQghhBBCCCGEECVFnQKEEEIIIYQQQoiS+j/ge8fxZH9argAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#defining figure size\n",
+ "plt.figure(figsize = (12,8)) #figsize = (width,height)\n",
+ "\n",
+ "#bar plot \n",
+ "plt.bar(date_time, RMSE_sp_array, color='darkorange', width=1)\n",
+ "plt.plot(RMSE_sp_array, color='lime', linewidth=4)\n",
+ "\n",
+ "#adjust xticks and yticks\n",
+ "plt.xticks(rotation=70, fontsize=18)\n",
+ "plt.yticks(fontsize=18)\n",
+ "\n",
+ "#label x-axis\n",
+ "plt.xlabel('Time Period [mm/dd/yyyy, hh-hh]', fontsize = 20)\n",
+ "\n",
+ "#label y-axis\n",
+ "plt.ylabel('RMSE [K]', fontsize = 20)\n",
+ "\n",
+ "#label the plot\n",
+ "plt.title('RMSE of 6-Hour Time Periods for São Paulo', fontsize = 25, fontweight = 'extra bold')\n",
+ "\n",
+ "#save the plot\n",
+ "plt.savefig('RMSE_sp_array.png', bbox_inches = 'tight')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "23158d5a-eb87-4cff-94d6-60f2261ca3c5",
+ "metadata": {},
+ "source": [
+ "## 16) Save RMSE values in a NetCDF archive"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "id": "241373a9-0584-44f2-a320-f0bc9da47adc",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{'RMSE Matrix Time': \n",
+ "float32 RMSE Matrix Time(RMSE Matrix Time)\n",
+ " units: Kelvin [K]\n",
+ " longname: Root Mean Squared Error Matrix Time Dimension\n",
+ "unlimited dimensions: \n",
+ "current shape = (12,)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used, 'RMSE Matrix Latitude': \n",
+ "float32 RMSE Matrix Latitude(RMSE Matrix Latitude)\n",
+ " units: Kelvin [K]\n",
+ " longname: Root Mean Squared Error Matrix Latitude Dimension\n",
+ "unlimited dimensions: \n",
+ "current shape = (25,)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used, 'RMSE Matrix Longitude': \n",
+ "float32 RMSE Matrix Longitude(RMSE Matrix Longitude)\n",
+ " units: Kelvin [K]\n",
+ " longname: Root Mean Squared Error Matrix Longitude Dimension\n",
+ "unlimited dimensions: \n",
+ "current shape = (37,)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used, 'RMSE Array': \n",
+ "float32 RMSE Array(RMSE Array)\n",
+ " units: Kelvin [K]\n",
+ " longname: Root Mean Squared Error Array\n",
+ "unlimited dimensions: \n",
+ "current shape = (12,)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used, 'RMSE SP Array': \n",
+ "float32 RMSE SP Array(RMSE SP Array)\n",
+ " units: Kelvin [K]\n",
+ " longname: Root Mean Squared Error Array for São Paulo\n",
+ "unlimited dimensions: \n",
+ "current shape = (12,)\n",
+ "filling on, default _FillValue of 9.969209968386869e+36 used}\n"
+ ]
+ }
+ ],
+ "source": [
+ "rmsefile = Dataset('rmsefile.nc', mode='w',format='NETCDF4_CLASSIC')\n",
+ "\n",
+ "#create the dimensions of RMSE variables\n",
+ "RMSE_matrix_dimension1 = rmsefile.createDimension(\"RMSE Matrix Time\", 12)\n",
+ "RMSE_matrix_dimension2 = rmsefile.createDimension(\"RMSE Matrix Latitude\", 25)\n",
+ "RMSE_matrix_dimension3 = rmsefile.createDimension(\"RMSE Matrix Longitude\", 37)\n",
+ "RMSE_array_dimension = rmsefile.createDimension(\"RMSE Array\", len(RMSE_array))\n",
+ "RMSE_sp_array_dimension = rmsefile.createDimension(\"RMSE SP Array\", len(RMSE_sp_array))\n",
+ "\n",
+ "#create the variables\n",
+ "RMSE_matrix_variable1 = rmsefile.createVariable(\"RMSE Matrix Time\", np.float32, (\"RMSE Matrix Time\",))\n",
+ "RMSE_matrix_variable2 = rmsefile.createVariable(\"RMSE Matrix Latitude\", np.float32, (\"RMSE Matrix Latitude\",))\n",
+ "RMSE_matrix_variable3 = rmsefile.createVariable(\"RMSE Matrix Longitude\", np.float32, (\"RMSE Matrix Longitude\",))\n",
+ "RMSE_array_variable = rmsefile.createVariable(\"RMSE Array\", np.float32, (\"RMSE Array\",))\n",
+ "RMSE_sp_array_variable = rmsefile.createVariable(\"RMSE SP Array\", np.float32, (\"RMSE SP Array\",))\n",
+ "\n",
+ "#define the unit of RMSE variables\n",
+ "RMSE_matrix_variable1.units = 'Kelvin [K]'\n",
+ "RMSE_matrix_variable2.units = 'Kelvin [K]'\n",
+ "RMSE_matrix_variable3.units = 'Kelvin [K]'\n",
+ "RMSE_array_variable.units = 'Kelvin [K]' \n",
+ "RMSE_sp_array_variable.units = 'Kelvin [K]'\n",
+ "\n",
+ "#define the long name of RMSE variables\n",
+ "RMSE_matrix_variable1.longname = 'Root Mean Squared Error Matrix Time Dimension'\n",
+ "RMSE_matrix_variable2.longname = 'Root Mean Squared Error Matrix Latitude Dimension'\n",
+ "RMSE_matrix_variable3.longname = 'Root Mean Squared Error Matrix Longitude Dimension'\n",
+ "RMSE_array_variable.longname = 'Root Mean Squared Error Array'\n",
+ "RMSE_sp_array_variable.longname = 'Root Mean Squared Error Array for São Paulo'\n",
+ " \n",
+ "#pass the array of the calculated RMSEs to the variables created\n",
+ "RMSE_matrix_variable1 = RMSE_matrix[0]\n",
+ "RMSE_matrix_variable2 = RMSE_matrix[1]\n",
+ "RMSE_matrix_variable3 = RMSE_matrix[2]\n",
+ "RMSE_array_variable = RMSE_array\n",
+ "RMSE_sp_array_variable = RMSE_sp_array\n",
+ "rmsefile.close()\n",
+ "\n",
+ "rmse = Dataset(\"rmsefile.nc\")\n",
+ "rmse_variables = rmse.variables\n",
+ "print(rmse_variables)\n",
+ "\n",
+ "\n",
+ "#close the dataset\n",
+ "rmsefile.close()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4d0330d1-4b30-4d0d-a42a-39fc809ce487",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.11"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 00000000..c31f8828
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,10 @@
+matplotlib==3.8.1
+netCDF4==6.5
+numpy==1.24.1
+seaborn==0.13.0
+session_info==1.0.0
+IPython==8.9.0
+jupyter_client==8.0.2
+jupyter_core==5.2.0
+jupyterlab==3.5.3
+notebook==6.5.2
\ No newline at end of file
diff --git a/rmsefile.nc b/rmsefile.nc
new file mode 100644
index 00000000..307fd2aa
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+
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+
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+
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