diff --git a/docs/user-guide/assignments/Sail_the_ship.ipynb b/docs/user-guide/assignments/Sail_the_ship.ipynb
index 6009a994..fd07ce1f 100644
--- a/docs/user-guide/assignments/Sail_the_ship.ipynb
+++ b/docs/user-guide/assignments/Sail_the_ship.ipynb
@@ -229,7 +229,11 @@
"\n",
"If this is your first time running VirtualShip, you will be prompted to enter your own Copernicus Marine Data Store credentials (these will be saved automatically for future use).\n",
"\n",
- "Small simulations (e.g. small space-time domains and fewer instrument deployments) will be relatively fast. For large, complex expeditions, it _could_ take up to an hour to simulate the measurements depending on your choices. Waiting for simulation is a great time to practice your level of patience. A skill much needed in oceanographic fieldwork ;-)"
+ "Small simulations (e.g. small space-time domains and fewer instrument deployments) will be relatively fast. For large, complex expeditions, it _could_ take up to an hour to simulate the measurements depending on your choices. Waiting for simulation is a great time to practice your level of patience. A skill much needed in oceanographic fieldwork ;-)\n",
+ "\n",
+ "
\n",
+ "**TIP**: Not using underway instruments will speed up the simulation time considerably. So, if you do not plan to use underway temperature/salinity or ADCP measurements, make sure to switch these off in the planning tool before running the expedition.\n",
+ "
"
]
},
{
@@ -240,9 +244,11 @@
"\n",
"Upon successfully completing the simulation, results from the expedition will be stored in the `EXPEDITION_NAME/results` directory, written as [Zarr](https://zarr.dev/) files.\n",
"\n",
- "From here you can carry on your post-processing analysis, **but we will focus more on this in the next VirtualShip classroom session**.\n",
+ "From here you can carry on your analysis. In general, we encourage you to explore and analyse these data using [Xarray](https://docs.xarray.dev/en/stable/). We also provide various further [VirtualShip tutorials](https://virtualship.readthedocs.io/en/latest/user-guide/tutorials/index.html) which provide examples of how to visualise data recorded by the VirtualShip instruments. Use these to help you get started!\n",
+ "\n",
+ "If you are using VirtualShip in class, the same tutorial notebooks will be uploaded in your SURF RC environment for you to use and interact directly with the code. These should be available in e.g. the `data/storage-osl/tutorials/` directory. You will notice that there is a notebook file dedicated to visualising each of the different instruments available in VirtualShip. \n",
"\n",
- "In general, we encourage you to explore and analyse these data using [Xarray](https://docs.xarray.dev/en/stable/). We also provide various further [VirtualShip tutorials](https://virtualship.readthedocs.io/en/latest/user-guide/tutorials/index.html) which provide examples of how to visualise data recorded by the VirtualShip instruments."
+ "To run these notebooks with your own data, you will need to copy the them over to your expedition working directory (i.e. `data/storage-osl/{your-group-name}`). This can be done by either 1) using the file explorer panel in JupyterLab to copy the relevant files or the via the command line in Terminal. In the terminal, running `cp -r /data/storage-osl/tutorials/* /data/storage-osl/{your-group-name}/` would copy __all__ the tutorial notebooks to your group's directory, so if you only want to copy specific ones, make sure to adjust the command accordingly."
]
},
{
diff --git a/docs/user-guide/tutorials/Argo_data_tutorial.ipynb b/docs/user-guide/tutorials/Argo_data_tutorial.ipynb
index e8235315..d1e4470d 100644
--- a/docs/user-guide/tutorials/Argo_data_tutorial.ipynb
+++ b/docs/user-guide/tutorials/Argo_data_tutorial.ipynb
@@ -4,90 +4,368 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Example Argo data tutorial\n",
+ "## Argo Float Plotting\n",
"\n",
- "### Argo float in the Tropical Pacific Ocean\n",
- "The Tropical Pacific Ocean has a very strong thermocline, which can we mapped with Argo floats. \n",
+ "In this tutorial, we will show how to use visualise data from Argo Float deployment(s) in VirtualShip.\n",
"\n",
- "In this tutorial, we show how to use Argo floats in the virtualship tool and how to analyse their data."
+ "There are example plots embedded in this notebook, but these will ultimately be replaced by your own versions if you are working through the notebook with your own expedition output.\n",
+ "\n",
+ "The plots will visualise the trajectories of the Argo floats released at one or more waypoint(s) of the expedition, in three dimensions (latitude, longitude, depth), and show the temperature or salinity fields being sampled."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Set up\n",
+ "\n",
+ "#### Imports\n",
+ "\n",
+ "The first step is to import the Python packages required for post-processing the data and plotting. \n",
+ "\n",
+ "
\n",
+ "Tip: You may need to set the Kernel to the relevant (Conda) environment in the top right of this notebook to access the required packages! \n",
+ "
"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"import matplotlib.pyplot as plt\n",
+ "import cmocean.cm as cmo\n",
"import numpy as np\n",
- "from mpl_toolkits.mplot3d import Axes3D"
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "import matplotlib.colors as mcolors\n",
+ "from matplotlib.collections import LineCollection\n",
+ "from mpl_toolkits.mplot3d import Axes3D\n",
+ "import plotly.graph_objects as go\n",
+ "\n",
+ "import plotly.io as pio\n",
+ "from IPython.display import HTML"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "We have downloaded the data from Copernicus Marine Service, using `virtualship fetch` and the information in following `schedule` section of the `expedition.yaml` file:\n",
- "```yaml\n",
- "schedule:\n",
- " space_time_region:\n",
- " spatial_range:\n",
- " minimum_longitude: -5\n",
- " maximum_longitude: 5\n",
- " minimum_latitude: -5\n",
- " maximum_latitude: 5\n",
- " minimum_depth: 0\n",
- " maximum_depth: 2000\n",
- " time_range:\n",
- " start_time: 2023-01-01 00:00:00\n",
- " end_time: 2023-02-01 00:00:00\n",
- " waypoints:\n",
- " - instrument: ARGO_FLOAT\n",
- " location:\n",
- " latitude: 0.02\n",
- " longitude: 0.02\n",
- " time: 2023-01-01 02:00:00\n",
- "```\n",
- "\n",
- "After running `virtualship run`, we have a `results/argo_floats.zarr` file with the data from the float."
+ "#### Data directory\n",
+ "\n",
+ "Next, you should set `data_dir` to be the path to your expedition results in the code block below. You should replace `\"/path/to/EXPEDITION/results/\"` with the path for your machine.\n",
+ "\n",
+ "
\n",
+ "**TIP**: You can get the path to your expedition results by navigating to the `results` folder in Terminal (using `cd`) and then using the `pwd` command. This will print your working directory which you can copy to the `data_dir` variable in this notebook. Don't forget to keep it as a string (in \"quotation\" marks)!\n",
+ "
"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
+ "outputs": [],
+ "source": [
+ "# set data dir path\n",
+ "\n",
+ "data_dir = \"/path/to/EXPEDITION/results/\" # set this to be where your expedition output data is located on your (virtual) machine"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Load data\n",
+ "\n",
+ "We are now ready to read in the data using the `xarray` package. You can carry on executing the next cells without making changes to the code…"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load argo data\n",
+ "\n",
+ "argo_ds = xr.open_dataset(f\"{data_dir}/argo_float.zarr\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Plotting\n",
+ "\n",
+ "
\n",
+ "**NOTE**: The plots produced next are a starting point for your analysis. You are encouraged to make further adjustments and enhancements to suit your own data and research question.\n",
+ "
\n",
+ "\n",
+ "As a first step, we will produce a simple 2D spatial plot of the Argo float(s): where they were released at each waypoint (black scatter marker(s)), and their trajectories (from a bird's eye view) as they move through the ocean (coloured lines). Bear in mind though the floats will also be moving vertically through the water column as they profile, which we will explore in later plots. For now, the locations where vertical profiles were taken are indicated by the red markers along the trajectory lines."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# fig\n",
+ "fig = plt.figure(figsize=(10, 6), dpi=96)\n",
+ "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n",
+ "\n",
+ "# plot trajectory\n",
+ "for i, traj in enumerate(argo_ds[\"trajectory\"]):\n",
+ " # extract trajectory data\n",
+ " lons = argo_ds[\"lon\"][:].sel(trajectory=traj).squeeze()\n",
+ " lats = argo_ds[\"lat\"][:].sel(trajectory=traj).squeeze()\n",
+ " cycle_phase = argo_ds[\"cycle_phase\"][:].sel(trajectory=traj).squeeze()\n",
+ "\n",
+ " # plot\n",
+ " ax.plot(\n",
+ " lons,\n",
+ " lats,\n",
+ " linestyle=\"-\",\n",
+ " linewidth=1.25,\n",
+ " zorder=3,\n",
+ " transform=ccrs.PlateCarree(),\n",
+ " )\n",
+ "\n",
+ " # add release location\n",
+ " MARKERSIZE = 30\n",
+ " ax.scatter(\n",
+ " lons[0],\n",
+ " lats[0],\n",
+ " marker=\"o\",\n",
+ " s=MARKERSIZE,\n",
+ " color=\"black\",\n",
+ " zorder=4,\n",
+ " transform=ccrs.PlateCarree(),\n",
+ " label=\"Waypoint\" if i == 0 else None, # only label first for legend\n",
+ " )\n",
+ "\n",
+ " # add marker where cycle_phase == 0 and temperature is not nan\n",
+ " temp = argo_ds[\"temperature\"][:].sel(trajectory=traj).squeeze()\n",
+ " mask = ~np.isnan(temp)\n",
+ " if np.any(mask):\n",
+ " ax.scatter(\n",
+ " np.array(lons)[mask],\n",
+ " np.array(lats)[mask],\n",
+ " s=10,\n",
+ " color=\"crimson\",\n",
+ " zorder=5,\n",
+ " transform=ccrs.PlateCarree(),\n",
+ " label=\"Vertical profiling sites\" if i == 0 else None,\n",
+ " )\n",
+ "\n",
+ "\n",
+ "# additional map features\n",
+ "latlon_buffer = 10.0 # degrees (adjust this to 'zoom' in/out in the plot)\n",
+ "ax.set_extent(\n",
+ " [\n",
+ " argo_ds.lon.min() - latlon_buffer,\n",
+ " argo_ds.lon.max() + latlon_buffer,\n",
+ " argo_ds.lat.min() - latlon_buffer,\n",
+ " argo_ds.lat.max() + latlon_buffer,\n",
+ " ],\n",
+ " crs=ccrs.PlateCarree(),\n",
+ ")\n",
+ "ax.coastlines(linewidth=0.5, color=\"black\")\n",
+ "ax.add_feature(cfeature.LAND, facecolor=\"tan\")\n",
+ "gl = ax.gridlines(\n",
+ " draw_labels=True,\n",
+ " linewidth=0.5,\n",
+ " color=\"gainsboro\",\n",
+ " alpha=1.0,\n",
+ " linestyle=\"-\",\n",
+ " zorder=0,\n",
+ ")\n",
+ "gl.top_labels = False\n",
+ "gl.right_labels = False\n",
+ "\n",
+ "ax.legend(loc=\"upper right\", fontsize=12)\n",
+ "\n",
+ "n_days = float(\n",
+ " (argo_ds[\"time\"][0].max(skipna=True) - argo_ds[\"time\"][0].min(skipna=True))\n",
+ " / np.timedelta64(1, \"D\")\n",
+ ")\n",
+ "plt.title(f\"[{n_days:.1f} day(s) Argo Float lifetime]\", fontsize=12)\n",
+ "\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Argo float trajectory in 3D\n",
+ "\n",
+ "We now bring the third dimension into the plot, showing the vertical movement of the Argo float(s) as they profile through the water column. The depth is represented on the z-axis, with surface level at the top of the plot and increasing depth downwards. The colour of the markers represents the depth as well, with darker colours indicating deeper.\n",
+ "\n",
+ "You can see as the floats drift with the currents at depth, and then carry out their vertical profiling.\n",
+ "\n",
+ "
\n",
+ "**TIP**: This 3D plot is interactive! You can click and drag to rotate the view, scroll to zoom in/out, and hover over points to see more information.\n",
+ "
\n",
+ "\n",
+ "**Important**: This plot supports plotting only one Argo float/waypoint at a time. If you have deployed multiple Argo floats at different waypoints, you will need to make your selection via the `WHICH_ARGO` variable below. (Hint: you can see how many waypoints with Argo floats there are by running the cell immediately after this one first.)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
"outputs": [
{
- "name": "stderr",
+ "name": "stdout",
"output_type": "stream",
"text": [
- "/Users/erik/anaconda3/envs/parcels/lib/python3.12/site-packages/xarray/coding/times.py:254: RuntimeWarning: invalid value encountered in cast\n",
- " flat_num_dates_ns_int = (flat_num_dates * _NS_PER_TIME_DELTA[delta]).astype(\n"
+ "There is/are 1 Argo float(s) waypoints in this dataset.\n"
]
}
],
"source": [
- "ds = xr.open_zarr(\"/Users/erik/Desktop/VSC_Argo/results/argo_floats.zarr\")"
+ "print(\n",
+ " f\"There is/are {len(argo_ds['trajectory'])} Argo float(s) waypoints in this dataset.\"\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "WHICH_ARGO = 0 # choose which Argo float to plot here (0-indexed); you can leave this if you only have one Argo float"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "\n",
+ "
\n",
+ "
\n",
+ "\n",
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig = go.Figure()\n",
+ "\n",
+ "traj = argo_ds[\"trajectory\"][WHICH_ARGO]\n",
+ "lons = argo_ds[\"lon\"][:].sel(trajectory=traj).squeeze()\n",
+ "lats = argo_ds[\"lat\"][:].sel(trajectory=traj).squeeze()\n",
+ "depth = argo_ds[\"z\"][:].sel(trajectory=traj).squeeze()\n",
+ "\n",
+ "fig.add_trace(\n",
+ " go.Scatter3d(\n",
+ " x=lons,\n",
+ " y=lats,\n",
+ " z=depth,\n",
+ " mode=\"markers\",\n",
+ " marker=dict(\n",
+ " size=5,\n",
+ " color=depth,\n",
+ " colorscale=\"Viridis\",\n",
+ " colorbar=dict(title=\"Depth (m)\", orientation=\"h\", y=-0.25, x=0.5),\n",
+ " opacity=0.8,\n",
+ " ),\n",
+ " name=f\"Argo {WHICH_ARGO + 1}\",\n",
+ " )\n",
+ ")\n",
+ "\n",
+ "n_days = float(\n",
+ " (argo_ds[\"time\"][0].max(skipna=True) - argo_ds[\"time\"][0].min(skipna=True))\n",
+ " / np.timedelta64(1, \"D\")\n",
+ ")\n",
+ "\n",
+ "fig.update_layout(\n",
+ " scene=dict(\n",
+ " xaxis_title=\"Longitude\",\n",
+ " yaxis_title=\"Latitude\",\n",
+ " zaxis_title=\"Depth (m)\",\n",
+ " yaxis=dict(autorange=\"reversed\"), # north is up from plot viewpoint\n",
+ " ),\n",
+ " width=800,\n",
+ " height=800,\n",
+ " title=f\"Argo Float (#{WHICH_ARGO + 1}) [{n_days:.1f} day lifetime]\",\n",
+ ")\n",
+ "\n",
+ "html_str = pio.to_html(fig, include_plotlyjs=\"cdn\")\n",
+ "display(HTML(html_str))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can now plot the trajectory of the float using the code below (copied from the [Parcels Argo float tutorial](https://docs.oceanparcels.org/en/latest/examples/tutorial_Argofloats.html)):"
+ "### Argo float vertical sampling\n",
+ "\n",
+ "Let's now have a look at the vertical profiles of temperature and salinity collected by the Argo floats during the expedition. We can produce plots for each variable, showing how they vary with depth. \n",
+ "\n",
+ "Choose below which variable you would like to plot by setting the `PLOT_VARIABLE` variable to either `\"temperature\"` or `\"salinity\"`.\n",
+ "\n",
+ "The vertical profiles are recorded by the Argo float at each of the ascent/descent locations we've seen in the previous 3D plot. This time the drift periods are not shown.\n",
+ "\n",
+ "
\n",
+ "**TIP**: Don't forget to change the 'WHICH_ARGO' variable above if you want to visualise a different Argo float profile from your results (if you have multiple deployed)!\n",
+ "
\n",
+ "\n",
+ ""
+ ],
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -95,18 +373,75 @@
}
],
"source": [
- "x = ds[\"lon\"][:].squeeze()\n",
- "y = ds[\"lat\"][:].squeeze()\n",
- "z = ds[\"z\"][:].squeeze()\n",
- "\n",
- "fig = plt.figure(figsize=(13, 10))\n",
- "ax = plt.axes(projection=\"3d\")\n",
- "cb = ax.scatter(x, y, z, c=z, s=20, marker=\"o\")\n",
- "ax.set_xlabel(\"Longitude\")\n",
- "ax.set_ylabel(\"Latitude\")\n",
- "ax.set_zlabel(\"Depth (m)\")\n",
- "ax.set_zlim(-2000, 0)\n",
- "plt.show()"
+ "fig = go.Figure()\n",
+ "\n",
+ "VARIABLES = {\n",
+ " \"temperature\": {\n",
+ " \"cmap\": \"Inferno\",\n",
+ " \"label\": \"Temperature (°C)\",\n",
+ " \"ds_name\": \"temperature\",\n",
+ " },\n",
+ " \"salinity\": {\n",
+ " \"cmap\": \"haline\",\n",
+ " \"label\": \"Salinity (psu)\",\n",
+ " \"ds_name\": \"salinity\",\n",
+ " },\n",
+ "}\n",
+ "\n",
+ "traj = argo_ds[\"trajectory\"][WHICH_ARGO]\n",
+ "lons = argo_ds[\"lon\"][:].sel(trajectory=traj).squeeze()\n",
+ "lats = argo_ds[\"lat\"][:].sel(trajectory=traj).squeeze()\n",
+ "depth = argo_ds[\"z\"][:].sel(trajectory=traj).squeeze()\n",
+ "var = argo_ds[VARIABLES[PLOT_VARIABLE][\"ds_name\"]][:].sel(trajectory=traj).squeeze()\n",
+ "\n",
+ "# mask out NaNs (temp/salinity not recorded when drifting)\n",
+ "mask = ~np.isnan(var)\n",
+ "lons = np.array(lons)[mask]\n",
+ "lats = np.array(lats)[mask]\n",
+ "depth = np.array(depth)[mask]\n",
+ "var = np.array(var)[mask]\n",
+ "\n",
+ "fig.add_trace(\n",
+ " go.Scatter3d(\n",
+ " x=lons,\n",
+ " y=lats,\n",
+ " z=depth,\n",
+ " mode=\"markers\",\n",
+ " marker=dict(\n",
+ " size=5,\n",
+ " color=var,\n",
+ " colorscale=VARIABLES[PLOT_VARIABLE][\"cmap\"],\n",
+ " colorbar=dict(\n",
+ " title=VARIABLES[PLOT_VARIABLE][\"label\"], orientation=\"h\", y=-0.25, x=0.5\n",
+ " ),\n",
+ " opacity=0.8,\n",
+ " ),\n",
+ " name=f\"Argo {WHICH_ARGO + 1}\",\n",
+ " customdata=np.stack([var], axis=-1),\n",
+ " hovertemplate=(\n",
+ " \"Lon: %{x:.3f} \"\n",
+ " \"Lat: %{y:.3f} \"\n",
+ " \"Depth: %{z:.1f} m \"\n",
+ " f\"{VARIABLES[PLOT_VARIABLE]['label']}: \"\n",
+ " + \"%{customdata[0]:.3f}\"\n",
+ " ),\n",
+ " )\n",
+ ")\n",
+ "\n",
+ "fig.update_layout(\n",
+ " scene=dict(\n",
+ " xaxis_title=\"Longitude\",\n",
+ " yaxis_title=\"Latitude\",\n",
+ " zaxis_title=\"Depth (m)\",\n",
+ " yaxis=dict(autorange=\"reversed\"), # north is up from plot viewpoint\n",
+ " ),\n",
+ " width=800,\n",
+ " height=800,\n",
+ " title=f\"Argo Float (#{WHICH_ARGO + 1}) [{n_days:.1f} day lifetime]\",\n",
+ ")\n",
+ "\n",
+ "html_str = pio.to_html(fig, include_plotlyjs=\"cdn\")\n",
+ "display(HTML(html_str))"
]
}
],
diff --git a/docs/user-guide/tutorials/Drifter_data_tutorial.ipynb b/docs/user-guide/tutorials/Drifter_data_tutorial.ipynb
index c2d9424a..2d70d9a7 100755
--- a/docs/user-guide/tutorials/Drifter_data_tutorial.ipynb
+++ b/docs/user-guide/tutorials/Drifter_data_tutorial.ipynb
@@ -4,157 +4,117 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Example Drifter data handling \n",
- "### Agulhas retroflection region\n",
- "The Atlantic and Indian Ocean meet around South Africa, and this is one of the most dynamic and energetic regions in the world ocean. The Agulhas retroflection is a region where the Agulhas current retroflects back into the Indian Ocean. This region is known for its strong currents and eddies, and is a region where many drifters have been deployed.\n",
+ "# Drifter Trajectory Plotting\n",
"\n",
- "In this tutorial, we will explore virtual drifters deployed in the Agulhas Current, just off the city of Durban at 31S. The virtual drifters report their position every hour, and have a lifetime of 30 days. "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "from virtualship.models import Location, Spacetime\n",
- "from virtualship.instruments.drifter import Drifter, simulate_drifters\n",
- "from virtualship.expedition.input_data import InputData\n",
- "from pathlib import Path\n",
- "import numpy as np\n",
- "import xarray as xr\n",
- "import matplotlib.pyplot as plt\n",
- "import trajan\n",
- "from datetime import timedelta"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "We have downloaded the data from Copernicus Marine Service, using `virtualship fetch` and the information in following yaml format:\n",
- "```yaml\n",
- "area_of_interest:\n",
- " spatial_range:\n",
- " minimum_longitude: 5\n",
- " maximum_longitude: 60\n",
- " minimum_latitude: -45\n",
- " maximum_latitude: -30\n",
- " minimum_depth: -30\n",
- " maximum_depth: 0\n",
- " time_range:\n",
- " start_time: 2023-07-01 00:00:00\n",
- " end_time: 2023-09-30 00:00:00\n",
- "```"
+ "This notebook demonstrates a simple plotting exercise for drifter trajectory data, using the output of a VirtualShip expedition. There are example plots embedded in this notebook, but these will ultimately be replaced by your own versions if you are working through the notebook with your own expedition output.\n",
+ "\n",
+ "The plots we will produce are simple plots which visualise the trajectories of the drifters released at each waypoint of the VirtualShip expedition. We will also have a look at adding the sea surface temperature recorded by the drifters as they move through the ocean. Finally, the notebook will conclude with some example questions that you can think about as you interpret the drifter trajectories, using the Agulhas region as a case study."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "We have stored this hydrodynamic data in an `expedition_directory`, from which we can launch the virtual drifters. But before we do this, we will first need to load the data into a Parcels `FieldSet`."
+ "## Set up\n",
+ "\n",
+ "#### Imports\n",
+ "\n",
+ "The first step is to import the Python packages required for post-processing the data and plotting. \n",
+ "\n",
+ "
\n",
+ "**TIP**: You may need to set the Kernel to the relevant (Conda) environment in the top right of this notebook to access the required packages! \n",
+ "
"
]
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
- "expedition_directory = Path(\"/Users/erik/Desktop/VSC_AgulhasDrifters\")\n",
- "fieldset = InputData._load_ship_fieldset(expedition_directory)"
+ "import xarray as xr\n",
+ "import matplotlib.pyplot as plt\n",
+ "import cmocean.cm as cmo\n",
+ "import numpy as np\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "import matplotlib.colors as mcolors\n",
+ "from matplotlib.collections import LineCollection"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "We will programatically create a list of 20 drifters to be deployed, using the `Drifter` Class. The 10 drifters are launched on a line from (31S, 31E) to (31S, 32E) and between 2 and 21 July 2023, one each day at midnight."
+ "#### Data directory\n",
+ "\n",
+ "Next, you should set `data_dir` to be the path to your expedition results in the code block below. You should replace `\"/path/to/EXPEDITION/results/\"` with the path for your machine.\n",
+ "\n",
+ "
\n",
+ "**TIP**: You can get the path to your expedition results by navigating to the `results` folder in Terminal (using `cd`) and then using the `pwd` command. This will print your working directory which you can copy to the `data_dir` variable in this notebook. Don't forget to keep it as a string (in \"quotation\" marks)!\n",
+ "
"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
- "vs_drifters = []\n",
- "for i, lon in enumerate(np.linspace(31, 32, 20)):\n",
- " vs_drifters.append(\n",
- " Drifter(\n",
- " Spacetime(\n",
- " Location(latitude=-30, longitude=lon),\n",
- " time=np.datetime64(f\"2023-07-{i + 2:02d} 00:00:00\"),\n",
- " ),\n",
- " depth=0.0,\n",
- " lifetime=timedelta(days=90),\n",
- " )\n",
- " )"
+ "# set data directory path\n",
+ "\n",
+ "data_dir = \"/path/to/EXPEDITION/results/\" # set this to be where your expedition output data is located on your (virtual) machine"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "We will now simulate the drifters for 90 days and store their trajectories in a `drifters.zarr` file."
+ "#### Load data\n",
+ "\n",
+ "We are now ready to read in the data using the `xarray` package. You can carry on executing the next cells without making changes to the code…"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "INFO: Output files are stored in /Users/erik/Desktop/VSC_AgulhasDrifters/drifters.zarr.\n",
- "WARN: Some drifters had a life time beyond the end time of the fieldset or the requested end time.\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
- "out_path = f\"{expedition_directory}/drifters.zarr\"\n",
- "simulate_drifters(\n",
- " fieldset,\n",
- " out_path,\n",
- " vs_drifters,\n",
- " outputdt=timedelta(hours=1),\n",
- " dt=timedelta(minutes=30),\n",
- " endtime=None,\n",
- ")"
+ "# load drifter data\n",
+ "\n",
+ "drifter_ds = xr.open_dataset(f\"{data_dir}/drifter.zarr\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "The simplest way to plot these trajectories is to use the [TrajAn package](https://opendrift.github.io/trajan/). As you see below, the drifters all start in the Agulhas Current (red dots at 30S) and most are initially advected southwestwards (although some first move northeastwards). At least two drifters take a path farther offshore, where their trajectories are much more eddying. When the inshore drifters reach approximately 25E, some of them start to circulate in eddies, and their tracks become even more convoluted."
+ "## Plotting\n",
+ "\n",
+ "
\n",
+ "**NOTE**: The plots produced next are a starting point for your analysis. You are encouraged to make further adjustments and enhancements to suit your own data and research question.\n",
+ "
\n",
+ "\n",
+ "We will now produce a plot of the drifters: their release locations at each waypoint (scatter markers), and their trajectories as they move through the ocean (coloured lines).\n",
+ "\n",
+ "From this we'll be able to get a first impression of the flow dynamics in the region. Are there any eddies or other features that stand out? Do the drifters stay together or spread out over time?\n",
+ "\n",
+ "
\n",
+ "**TIP**: You can adjust the lifetime of your simulated drifters by changing the \"Lifetime\" parameter in the VirtualShip expedition setup (see the _Instrument Configurations_ > _Drifter_ section in the `virtualship plan` tool), if you want them to flow for longer. Note, however, this does mean you would need to re-run the expedition to generate new data with the updated lifetime.\n",
+ "
"
]
},
{
"cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "tags": [
- "nbsphinx-thumbnail"
- ]
- },
+ "execution_count": 61,
+ "metadata": {},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/Users/erik/anaconda3/envs/parcels/lib/python3.12/site-packages/xarray/coding/times.py:254: RuntimeWarning: invalid value encountered in cast\n",
- " flat_num_dates_ns_int = (flat_num_dates * _NS_PER_TIME_DELTA[delta]).astype(\n",
- "No time or obs dimension detected.\n"
- ]
- },
{
"data": {
- "image/png": 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nxKNP3uPWT97j1u9hf48b07aHPfcZNCnMZmZmMmPGDNLT07G3tycsLIytW7cyePBgAH7zm99QVlbGG2+8QX5+Pr169WL79u3KWkMNCQ0NxcrKivfee4+UlBTMzc0JCQlh3rx5zJgxo0kP1ZDx4ycwe/Y3aLVapRS0EEKI/zl9Lo7Up4Yyfe1a9LRQEagvv3wogizUzIsFcHBwaPA4Ozs7pk2bxunTp9m6dSvXr1/nu+++4+mnn8bb2/sBtFQIIYRoHo9K7mtSmps/f36D+1UqFR9++CEffvhhkxoBEBgYyJw5c5p8XlONHz+eTz75hMOHT9CvX5/7fj8hhHjUrF69HdcuXVhhZsbIDRuwLit7cDd/CNeZLSgoAMDR0fGOx6pUKrp164aPjw8//fQTubm5LFiwgGHDhtG9e/dahTGEEEKIh9Gjkvseu67Jbt264evry4YN2yXMCiHEbfbsOYSra02p/UuhocS3b49fYiL+SUlQXU3PIUOwLC2F1NSaocBOTpCXB8nJoFKhbdOG8+np3ExKwr6gAJVKxU17e0otLbEsK8P+5k0Kb/k62NQUL09P8PODAQOgf/+HpkfWwNAz25gwa+Dq6srLL7/MunXriIuLY9OmTRQWFt7VgvBCCCGEqNtjF2ZVKhXjx49n+fJlfPrpH+/LEgpCCPEo0uv1rFixmfbtQ/+3Ta0mpW1b0tq3p6qqik5vvIGls3Od51+9epX169dTaGMDISF1HqNSqYwWSA9/+224w/DdllRVVUXZf3um7e3tm3Suubk5kyZN4tChQ+zatYsDBw7g5uZGp06d7kdThRBCiMfOY5nkJkyYQEZGFidPnm3ppgghxENj3botRkHW4Mknn8TMzAwArVZba79Op2Pz5s0sXbq0wQqJhiBr+d/1a83Nze84D7Wl3Rq87+bDT5VKRVRUFJGRkQBs2LCBvLy8ZmufEEII8Th7LMNsnz59cHd3Z8OGbS3dFCGEeCgUF5eQlJRfa7u1tTV9+/bF3NwcQOmlNCgtLWXJkiWcOHHijvcwBFnDYu2PwvxRU1NTJcgbhhvfjQEDBuDr60tlZSUrV66s80MBIYQQQjTNYxlmNRoNEydO5Mcf11Bc3LS1jIQQojX6/vu1dW4fPHgwKpVKGWJrKIZk+PP8+fNJSkrC1NT0juFUrVbTsWNHJciVl5ej0+mapf33i0qlwtfXF4AzZ87c9XXUajUTJkzAysqKjIwMtm7datTrK4QQQoimeyzDLNSUky4qKmbOnCUt3RQhhGhR+fk3qStX2dra0rlzZ+B/80Vv3rwJoFTpzcvLw87ODrVafcdwNn78eK5duwbUfKgIPBJDbnv27AnAiRMnjMJ8U9nZ2TFu3DgATp06xb59+5qjeUIIIcRj67ENs76+vrz00kt89dU8bt4saunmCCFEi1m0aF2d2yMjI5V5ooa5rQUFBeTm5rJw4UIKCwtxdnbG1NSUioqKBueUtmnTBr1eT15eHhYWFnh4eACQkZHRvA9zHwQHB+Pv749Op2Pv3r33fK2hQ4cCsG/fPg4dOtQMLRRCCCEeT49dNeNbvf/++8yfP59vv13Ib3/7i5ZujhBCPHAZGVmoVLWXwrGwsKBr167K14aiTcXFxSxevJji4mLc3d0JCQnh4MGDAFRXV9d7n/DwcPbv3w9A7969KS4uJi0tjfT0dKX3t6Xo9XqSk5O5du0aRUVFlJaWUl5eTllZGdXV1fj7+9O7d2+uX7/O2bNnlboLd6tXr15UVVWxa9cudu7ciYODAx07dmzGJxJCCCEeD491mPXy8uK1117jm2++59VXZ+Lg0LRlF4QQ4lH3ww+bMTExVb62trampKSEHj16KIWPbpWUlERVVRUuLi6MHTuWefPmNeo+VVVVZGdnY2FhQa9evbh48SIA6enpzfMgd6m4uJh169Zx5cqVeo/Jycnh0qVL2Nvbc/PmTfbs2cOUKVPu6b5RUVHk5eVx+vRp4uLiJMwKIYQQd+GxDrMAv//975k7dy7/+c98Pvjg3ZZujhBCPDDXriUbBVm1Wk1JSQlqtVqZJ2pQUVEB1IRSBwcHZsyYwb59+4wKOJmZmVFZWVnrPg4ODspw2ujoaCwsLPD29gbgxo0bFBcXk5WVRXFxMWq1GlNTU3Q6HVqtVikWpdFocHJywsPDA1NT01r3uBvJycmsXLmS4uJiNBoNHTt2xNnZGWtraywsLLC0tKSyspLdu3eTnZ2tnBcfH09OTg4uLi73dH/D0G0pBCWEEELcncc+zLq7uzNr1ixmz/6G119/Dmdnp5ZukhBCPBALFqzExcVD+bpNmzakpaXRuXNnbGxslO3l5eWcOnUKqAmVM2fOBCAmJkY5JjQ0VOltvZ1KpaK8vJw2bdrQu3dvoKYYEkBlZSWff/55o9tsYmJCYGAg7dq1o2PHjsqSQU2VkpLCkiVL0Gq1uLq6MmnSJFxdXes8NiAggJ9//pnLly8r244cOcKoUaPu6t5Qs6TRkSNHAOq9rxBCCCEa9tiHWaipbDx79my+/HIuH33025ZujhBC3HexsXFYWdkpXzs5OSlDfnv16qVsr6qqYtmyZUoVY1tbWxwdHfn666+VY9q3b09ycnK99zKsz2phYcGGDRvQ6XRGwdBwf3t7e6qrq9FqtWg0GkxMTDAxMVHakZ2dTXFxMZcvX+by5cts27aNLl26EB0dbRS+G2Pbtm1otVqCg4OZNGlSnUOqDczNzZk8eTK7d+9WephjYmIYMGAA1tbWTbqvwYkTJygvL8fNzY2oqKi7uoYQQgjxuJMwC7i4uPDOO+/w+ef/YNasF3B3l0/JhRCtV1VVFR9//CV9+kQr24KDgzl+/Di+vr60adNG2b5582ZSUlIwNzenoqKCoqIidu3aRU5ODgCOjo7k5uZSXFwM1PTC1jdsNjExsc7t7dq1a9QcVL1eT1ZWFvHx8Zw7d47c3FyOHz/OmTNniIqKMqq+fKfr3LhxA4Dhw4c3GGQN1Go1gwYNwtXVlbVr1wKwbt06pk2bdsdzbxcXF8eBAweAmg8ODIFdCCGEEE3z2C7Nc7t3330XMzNzvvjiu5ZuihBC3Ff/+Mc3tG0bqnzdo0cPEhISAOjWrZuy/dy5c5w5cwaVSsXTTz+tzGU1VC+Gmh7V7OxsZR5rXUHW09OTsWPHMnz4cAYOHMiAAQOYPn06Tz/9NECj125VqVS4u7vTr18/Zs2axfTp0/H09FTmtS5YsEDpQW5IZWWl0s6m9uiGh4crf05ISFDm9DZWWVkZa9asQafTERISYnQ9IYQQQjSNhNn/cnR05L333mPBguWkpbVsdU0hhLhfTpw4zZIlq3F2dgZqehzbtm1Lfn4+ZmZmhIbWhNySkhK2bt0KQL9+/QgMDFTmuRp4enpy9epVTExMcHNzq/N+5ubmTJ8+nfDwcHr06EFUVBTR0dEEBQUpRaCysrKoqqpq0nOoVCqCgoJ46aWXGDt2LObm5qSmpvL999+Tl5fX4Lnl5eXKNe6mV/TWwH/+/PlGn6fX69m+fTtVVVW4uroyZcoUNJrayyIJIYQQonEkzN7i7bffxtramn/+89uWbooQQjS7kpJSXnvtN0qPKNQMczUEsk6dOik9rNu3b6esrAx3d3eio6NJTk4mNzfX6HqGobpjx46tt0e0f//+yhq1t7O1tQVqQp6hWnJTqVQqwsPDefXVV3FxcaGwsJCffvqpzqrKBrcOkVapVE2+562h/ujRo42uRnz06FHOnDkDwMCBAxs1JFoIIYQQ9ZOfpLews7Pj17/+NUuWrCQ5Oa2lmyOEEM3qj3/8GzY2djg6Oirb+vTpw4ULFwDo0qULANeuXePcuXMAjBw5khs3brBo0SKjaxlCYFRUFCqVSpkze7vu3bvX255bA+y9zht1dHRk5syZ2NjYkJWVxaZNm+oNmZmZmUBNNfu7cWsIzczMJDU1Fb1ez7x58/jqq6+Unt9bVVdXK9WLBw4cSLt27e7q3kIIIYT4Hwmzt3nzzTdxcHDg88+/aemmCCFEs9m+fS+LF69g4sSJyjYTExNl3qeLiwve3t5UVVWxceNGAHr27Iler2fRokVUV1cbXU+v12NnZ8fJkydZuXJlnfe0sbFpcE3YtLSaDw1tbW2xsLC410fE1taWiRMnolKpOHfunFJ5+HaGntm7WRJHr9cr7TY4deoUp0+fJi0tjby8PPbs2WO0X6fTsWzZMoqKilCr1cqHBkIIIYS4NxJmb2NjY8Pvfvc7fvhhNYmJSS3dHCGEuGe5uXn84hfv89xzzxqFUgcHB86ePQvU9MqqVCq2bNlCfn4+tra2hISEsHjxYnQ6HQBeXl5G1y0sLKS8vLzeasD1zaM1MKxLGxwcfNfPdjs/Pz+eeuopAHbt2sXp06frPbapxZugZn3Z+Ph4VCoVw4cPB2rmzZ44cUI5Jjs72+icCxcuKHOLx4wZ0+SiU0IIIYSom4TZOrz++uu4ubnx979/feeDhRDiIabX63nnnQ+wsbHF19fPaJ+3tzfJycmoVCrCwsI4f/68Ev4GDBjAihUrlMDXpUsXMjIyjM7v0qULM2fONCqIdKuAgIB621VdXc2lS5cAlKJTzaVXr1707dsXgA0bNhAfH2+039/fH0Cp4NxY165dY8eOHQAMGTKEiIgIPDw80Ol0Rq9NYmIixcXF6PV6YmJi2LBhg9KusLCwu30sIYQQQtxGwmwdLC0tef/991mxYh2XL19t6eYIIcRd+/HHn9myZTcvvvii0RxStVqtDO0NCgqiqqpKCV19+vRh3759SoXh9u3bU15ervTQAkycOJExY8YQEBBQa9itQYcOHeptV1JSEiUlJVhYWDQYeu/WoEGDCA8PR6/Xs2rVKpKTk5V9ISEhqNVqsrOzaxW1qo9Op2PLli0AdO3alV69eqFSqYzmBHft2lX5s1qt5siRI2zYsAGtVouVlZUswyOEEEI0Mwmz9Xj55Zfx8vLi00+/aummCCHEXUlKSuF3v/sLv/jFL2otfRMVFUVcXBwAnTt3ZvXq1VRWVuLr60tRUZGy9quPjw/BwcFKL6rBrRV9b+2VNBRyUqvVODk51du22NhYoCbw3o/laVQqFaNGjSIkJAStVsuPP/5IVlYWUPOBpaF39vbnqs+RI0fIycnB0tKSIUOGKAWwbq3UbCisZWZmRmVlJTt37gRqljZ655137mqOrhBCCCHqJ2G2Hubm5nzwwQesWbOZixcvt3RzhBCiSXQ6Ha+//lu8vX2MqhdDTaEkX19fbt68ibm5OWlpady4cQNLS0u6du2qLNVjZ2dHjx49lIJQAPb29sD/1motLCw0CsqGkOfi4lLvsjc6nc4oSN8vGo2GSZMm4ePjQ3l5OUuXLlVCuqHX2NCO+uj1ek6ePMmuXbuAmh7f0tJS1q1bx3fffceqVauUYw2FnyorK/nyyy/R6/U4OzvTv3//BgthCSGEEOLuSJhtwHPPPYefnx9/+9uXLd0UIYRokv/8Zz5Hj57klVdeqbVEzcSJE5Wld7y9vTl+/DhQswzPtm3bgJqe1SeffJK1a9cq59nY2CjB2LCszurVq42ufevQ5PqkpaVRXl6OlZUVfn5+9R7XHExNTZk6dSqurq4UFRWxdOlSysrKlKVx0tLS6l0jNz09nYULF7Jp0yYAIiIiCAkJ4auvvuLMmTNKj7ShN/r219nZ2ZkRI0bc1Vq2QgghhLgzCbMNMDMz409/+hMbNmzn3LkLLd0cIYRolNjYOD7++At+85vf1ApqoaGhuLu7K5WEU1NTgZriRBkZGUqPa79+/dixY4dR9eOwsDDMzc2Bmp7Z1NRUo7mot64V21CF4uvXrwM1hZhuXbP1frG0tGT69OnY2dmRm5vLqlWrsLa2VoYax8TEGB2v1+s5ePAg8+bNIzk5GRMTEwYOHMjw4cOVsA/QsWNH+vfvz3vvvVfrntOmTePNN9+8L/OBhRBCCFFDwuwdzJgxg5CQYD75RHpnhRAPv/LyCl577VeEh4dha2trtM/ExIQRI0Zw8eJFtFotZmZmVFRU4OHhQXR0NIcPHwZq5n5evnyZ0tJS4H9DhwMCApQ5oiUlJSxbtszo+oYCUaampnh6etbbxpSUFID73it7Kzs7O6ZOnYqpqSnXrl1j69atREREAHDs2DGKi4uBmiC7adMmdu3aRXV1NaGhofziF78gKioKlUpltKzO5cuXCQ8PZ+vWrUb3GjFiBCEhIQ/s2YQQQojHlYTZOzAxMeGjj/4f27btYdOmHS3dHCGEaNDHH/+LK1euM336jFrrqPbr1w8rKyvOnDkD1MztVKlUjB49mmPHjilh1MXFhRs3bgA1wVSv16NWq/H19VUC8okTJygrKzO6vmGYbdu2best6qTX65Vr375u7f3m4eHB+PHjgZr2l5aW4uHhQUVFhbIM0Z49ezh16hQAw4cPZ+LEiUbFrqKjo7GysgJqhlR/+eWXylq9Bg0NsRZCCCFE85Ew2wiTJ09m3LhxvPXWH0hPz2zp5gghRJ0OHz7B119/z4cffqgUOjKwsrKid+/eZGZmGg0N7t27Nx4eHsq8WXNzc2X9VSsrK/r06QPUzK01MzNTgl1JSUm97Wjbtm29+27evElpaSlqtRp3d/e7es570b59ewYMGADA1q1biYyMxNzcnJSUFD777DMOHDgAwJgxY4iIiOD8+fPs2LGDI0eOcPDgQX744Qelx/p2hh7s29e1FUIIIcT9IWG2EVQqFXPnzsXCwpI33vit0RwyIYR4WLz33v8xYMCAWsvwAAwYMABTU1OOHTumbLOzs6N///5cunRJKehk+L+trS1vvfUWeXl5QM381qqqKiX01kelUjU4XzY9PR0ANzc3ozm2D1JUVBShoaFUV1ezd+9eJkyYANT0VAP07NmT8PBw9uzZw88//8zhw4fZvn07u3btUtpfF0PP9MaNGyksLLz/DyKEEEI85lrmN4lHkLOzM4sWLWLw4MHMnr2QWbNeaOkmCSGEkcLCYl599VWluJOBk5MTXbp0oaSkxGhIbP/+/TEzM2P79u21rjV16lTMzMyUYk2enp58++23Sritj7e3tzIMty6GglNt2rRp7GM1O5VKxciRI0lJSSE3N5cNGzYY7T9+/HiDod3ExIRhw4bRpUsXVCoVV65cYc+ePUZB91//+hfOzs4EBAQQGBiIv7+/0Zq0QgghhLh3EmabYNCgQbz77rt89NHn9OvXm86dQ1u6SUIIwZIlKwkM7Mzf/vY3Ll+uvS72wIED0Wg0HD58WBlZ4urqSnh4OAcOHFCGJJuYmKDVamnXrh1t2rQhJyeH4uJi1Go169atqzVH9lYqlQq9Xt9g4aOsrCylcvCDLP5UF0tLS8aPH8/ixYspKipq8FiVSkXHjh3p2LEjvr6+tcJ6SEgIQUFBJCYmsnTpUmV7bm4uubm5nDx5EpVKhaenJ+3bt6d9+/a4uLjcl+cSQgghHicSZpvok08+Yffu3bz88nvs3v0zVlbySbsQomVUVFTwu9/9hZ9+WsePP/6Iubl5raJP3t7edOjQgdLSUqPexgEDBnDmzBl2796tbDMMk3VycmLfvn1cuXIFgOrq6gaD7K3n1jdfNiMjg8WLF1NeXo6XlxedOnVq+gM3M1dXVyWEQ02BrP379yv7u3fvjpWVFZ07d8bV1bXBa6nVaoKCgnB1dSU7O5vx48crlZMTExPJyckhLS2NtLQ09uzZw3PPPYePj899fT4hhBCitZMw20Tm5uYsW7aMbt268ac/fco//vFhSzdJCPEYSktL57nn3uLcuYt8/fXXAFy9erXWcb6+vvz4449cv37dKOiuXr26VvA1VDM+cuRIvffVaDTKcbdzcHDAzc2t1vaSkhKWL19OWVkZnp6ePPPMM/VWO35Q9Ho9a9asobq6GisrK0pLS42C7LvvvltraaPGcHBwIDs7G61WS+fOnZXKxoWFhcTHx3Py5EmysrL4/vvv+eUvf2lUKVkIIYQQTSMFoO5Chw4d+Oc//8n8+T+wdevuO58ghBDN6MCBo/TvP47MzFwOHjzIU089VedxKpWKw4cPk5CQUKso1O1BtjHMzMxqBdlbexc7d+6sVPQ1MITGmzdv4uTkxIwZMx6KuaNXrlzh6tWrqNXqWkOjfXx87irIQs1SRkCt19vOzo4ePXoQFRWlbDtx4sRd3UMIIYQQNSTM3qXXXnuNUaNG8uabvyczM7ulmyOEeAzo9Xq++moeY8c+S3h4F06dOkVgYCArVqyo9/i7YWlpadRjqFbX/KgwrEtr0L59e/z9/ZWvu3TpUutaCQkJXL16FY1Gw5QpU7CwsLirNjU3w/I6ZmZmyhJBhurK9zL81xBmDZWRb2fo9W7Tpg29e/e+6/sIIYQQQsLsXVOpVMyf/z0mJqbMmiXL9Qgh7q+iomKef/4t/vSnT/nVr37F1q1bMTMzY8GCBfWuewrUWv7GELZuZQirbm5udO3aFWdnZ6OlZW79/qbX65VA+8QTTxAXFwfUDK91cnKqde1Tp04BNcvd3Gne6YPUrl07AMrLy6msrMTZ2Vnprb6XSsuGnuv6hlFnZWUBMGHCBKytre/6PkIIIYSQMHtPXF1dWbhwIbt2HWDu3CUt3RwhRCt1+fJVBg+exK5dB1m9ejWffvopFRUVfPfdd5SUlNR5joeHB8HBwbWG/da1Bq0hrGZlZXH69Gll+ZxbqVQqAgICGDVqlBKQ09LSyMnJASAoKKjWORUVFVy7dg2A8PDwJjzx/WdhYUGfPn0AOHnypFFPtI2NzV1ft7y8XLl+XQyVkO9UUEsIIYQQdyYFoO7R0KFDeeutt/i///uMqKjedOzYrqWbJIRoRTZs2MasWb/D29uHEydOKAWFFi9eXG8gMjExISMjo1nu3717dzp37oynpyempqaUl5cr67Lu3LlTOc7Dw6PWubGxsWi1WpydnessDNXSoqOjuXTpEvn5+RQXFyvb76XH1LDMUX1zbl1dXSkqKiIjIwNvb++7vo8QQgghpGe2WXz66ae0bRvCK6+8S1lZeUs3RwjRCmi1Wj788DNmznyTp54ayrFjx5Qge+PGDWW4an3n1uf2NVINw47Dw8N56623ePLJJ5V9Go2GoUOH4ufnpxyXn58P1PTUlpeXK8NpnZ2dja6r0+k4dOgQABEREbV6iB8GlpaWvPLKK4wcOZKoqCglgN4abJtCq9WSm5sLoMzDvd3dzmMWQgghRG0SZpuBhYUFy5b9yNWrSfz5z5+1dHOEEI+4nJxcJk58ka++msdnn33GihUrsLW1pbq6moMHDzJ//vwmXc8QRIODg5Xhr4ZthuAbHR1NWVmZ0fI0Pj4+tebcxsbGAjWhzMHBQZkjenvPa1JSEgUFBVhZWdG9e/cmtfdBsrCwoHv37gwcOFCZ03vz5s27ulZqaip6vR4rK6s6hyrr9XplCLesMSuEEELcOwmzzaRTp0589tlnfPfdYnbs2NfSzRFCPKJiYs7x5JPjuXgxgZ07d/KrX/0KlUpFQUEBixcvZteuXU0qOGdqakpVVRUeHh507tyZvLw8ZZuJiQl6vZ527dphbm7OypUr0el0Sg/lrZWKs7Ky+Omnn5RqvFZWVgwbNgyoGZZ7+9Bcw9xcOzu7OotOPYwMvctJSUl3dX58fDwAISEhdfZEV1RUKK/L7T3ZQgghhGg6CbPN6M0332T48GG8+ebvKC2V4h5CiKb5+edNDBs2FU9PL06dOqUM+U1MTOTbb79tcsjSaDRUVVXh7e3Ns88+y8mTJ4H/FScy9Mr27t2bJUuWUFBQYNTb6unpSWxsLEuXLmX27NlcunRJufaAAQOU+aF1Vf81zKHNyMhQht4+7Dp16gTA+fPnm1ygSa/XK6+PoVJyQ6QCvhBCCHHvJMw2I5VKxd/+9ilZWTmcOnW2pZsjhHiEHDp0jNde+zWTJk1i//4DyjDUs2fPsnTpUioqKpp8TZ1OR3BwMNOnTyc7O5uUlBTUajVFRUXKMQEBAWzcuJGsrCwsLCzw9/dXlvpZtmwZP//8M1evXgVq1pW9dS1Ww5DZugoZ2dvbExISAsCKFSuUKr8PMx8fH9zc3NBqtZw/f75J52ZmZlJQUICJiQnBwcF1HmNhYaH0YDdXgS4hhBDicSZhtpl17NgRR0dHjhw50dJNEUI8Iq5cSWT69FlER0ezYMECzM3NATh9+jRr166ttxfPzMysweuamZmRnp7OF198wYIFC4DaPYKJiYlKz2l5eTlnzpwx2u/s7Ex0dDRvvfUWvXr1QqvVYmlpiYuLS4NhFmDEiBHY2NiQlZXFggULjNaufRipVCq6du0KwIULF5p0rqFXNigoqMFh1YYPKVJSUu6ylUIIIYQwkDDbzNRqNVFRURw5cqqlmyKEeATk5eUzefIreHi0YdWqVUoQOnv2LOvXr6/3PLVaTWVlJYBSUfh2lZWVlJSUUF5e3mAVXZVKhYODA15eXkpAjoiI4J133uHNN99kwIABODo6cuXKFaCmkFRZWZlS2djLy6vO69rb2zN9+nQl0M6dO5fr1683/IK0MEOvalpaWpMqDxvmyxoqTtfHMFf2YQ/2QgghxKOgSWF29uzZhIWFYWdnh52dHX369GHLli1ATbGP3/72t3Tu3Blra2s8PT2ZOXMmN27cMLpGfHw8kZGReHt789FHHxntO336NCNHjsTNzU0Z7jZ58mRycnLu8TEfrKioKE6cON3g8hhCCFFRUcH06bMoLCxm06ZNODo6AnDlyhXWrVvX4Lm39rAa5rhCTTDt1KkTkydP5uWXX+aVV15R5rTWNbfV0dGRt956i7fffpuIiAgqKyuxtLRk8ODB2NvbGx2bkJAA1AQ+Q6+sq6urMge3Lu7u7rz44ou4urpSXFzM4sWL2bdvX7PMGdXr9aSkpLBz505++OEHvvzySz777DM+/fRTvv76a5YsWcKOHTuIi4szGlrdEMPSRU35/l1QUEBGRgYqlYq2bds2eKyhHXVVOxZCCCEeFo9K7jO58yH/4+3tzd/+9jflk+tFixYxZswYTp8+jbe3NzExMfzxj38kPDyc/Px83nnnHUaPHq0UHQGYNWsWM2bMoEePHrz22msMHDiQyMhIsrKyGDRoEKNGjWLbtm04ODiQmJjI+vXrlflbj4ro6GhKSko5d+4i3bqFtXRzhBAPIb1ez9tvf0BMzDl2795NYGAgALm5uaxatequ1iO1trZm6tSpRqF127ZtpKenY2pqWmuNWRcXF2bMmIGdnR3l5eXs3r0bgMjIyFpDmDMyMsjKykKj0RASEsLhw4eB+ntlb+Xg4MBLL73E5s2bOXv2LHv37iUpKYnx48c3OdQZAuyFCxcaDKnl5eXk5ORw7do1ZZujoyN+fn7Kfw4ODrWqDt+6FFFJSUmj2mcYYuzr61vrNb6dYX1gwzJAQgghxMPoUcl9TQqzo0aNMvr6448/Zvbs2Rw9epQXX3yRHTt2GO3/6quv6NmzJ8nJyfj6+gI1n2B37dqVsLAwPD09lfX8Dh8+TGFhIfPmzVN+mQgICGDAgAFNeqCHQffu3bG0tOTIkZMSZoUQdfr882/46ae1LFu2jL59+wI1PbXLly+/q2JPAM899xxOTk7K1/v37+fo0aNAzfzVW3t7bW1tmTlzprIMz/bt2ykqKsLZ2ZmePXvWurZhLm27du2wtLRs8nqpZmZmjB07Fn9/fzZv3qxUaB43bhxBQUF3PL+kpIQzZ84QExNDXl6e0XXbtWuHr6+v8umuSqWiuLiY/Px8bty4QWpqKllZWeTn55Ofn688i52dnVG4dXZ2xszMDDc3N7Kysti+fTvjxo2rc5mdWxnC7J2GGAPK0GxZmkcIIcTD7FHJfU0Ks7fS6XSsXLmSkpIS+vTpU+cxN2/eVOZiGXz00UcMHjyYsrIyRo4cyVNPPQXULOOg1WpZs2YNEydOvOMvDw8zMzMzevXqxZEjJ5k164WWbo4Q4iGzevVGPv74Cz766COmTp2qbN+yZUuThteoVCr0ej0BAQEASjAFOHDgAHv27AFg0KBBaDQapbdXrVYzZcoU5firV69y+vRpoOaH1+0FjCorKzl37hwAXbp0obq6mrS0NKD+4k/16dKlC15eXqxcuZLs7GyWLl1KREQEgwcPrrOgVXFxMYcOHeLkyZPK0F8zMzPat29PaGgoQUFBRr2pBq6urgQEBNCtWzeg5oOClJQUrl+/TnJyMmlpaRQWFhIbG0tsbCxQ07MdGBhIt27d2Lp1K7GxsXh7e9cZ7g1KS0tJTk4GGhdm1eqa2T130/MuhBBCtISHOfc1OczGxsbSp08fysvLsbGxYc2aNYSGhtY6rry8nN/97ndMmzYNOzs7Zfvw4cPJzs6msLDQaJhV7969ef/995k2bRqvvfYaPXv2ZMCAAcycORN3d/e7fLyWExUVxezZ36DX6x/pYC6EaF7HjsUwa9bvmD59Oh988IGyPTY2lrNnm7akl16vp3379owePZrt27cr2w8ePKgMGR4wYACRkZF8++23yv4RI0bg6ekJ1PR4rlmzBoAePXrg5+dX6z4xMTGUlZXh6OhIUFAQ6enpVFVVYW5ujouLS5PaDDVB8+WXX2bHjh2cOHGCkydPcvXqVcaOHat8mqvX6zl79ixbtmxRCl21adOGiIgIOnXqdMdKzrczNzcnODhYGS5VVVVFSkoKSUlJJCUlkZqaSklJiRJubWxsKC4uZtu2bQQEBNQ7LPjChQvo9Xrc3d2NfoDXx9bWlrKyMvLy8nBzc2vSMwghhBAP0qOQ+5ocZtu1a8eZM2coKChg9erVPPvss+zbt8/owaqqqpgyZQrV1dV88803ta5hbm5e5y8GH3/8Me+++y67d+/m6NGjfPvtt3zyySfs37+fzp0737FtVVVVVFVVNfWR7ouoqCg+//xz4uOvEhwc0NLNqZdWqzP6v2h95D1+eCQnp/LSS+8SFRXFt99+q/Q03rx5k82bNyu9do3VsWNHRowYoRSAqqqq4siRI+zbtw+1Ws0TTzxB7969KSkpITs7G7Vajb29PZ06daKqqgq9Xs/atWspKyvDzc2N/v371/oeqtVqOXLkCGq1mj59+qDT6bh69SpqtZqAgAB0Op1RAaqmGDx4MCEhIWzatImbN2+yaNEievXqRVRUFPv27VPm3Xh5eREdHU1AQIDy4WBzfK/38fHBx8eHqKgotFot6enpXLhwgQsXLlBaWqq8H2vWrGHKlClYWloanV9eXs6hQ4dQq9V06dKlUW3y8vIiJyeHlJSURg2vNjBc+2H5GSean7zHrZ+8x63fo/IeN7Z9D3PuM1Dp73Gs06BBgwgKCuK7774Dah7o6aef5tq1a+zevfue5gVVVlbStWtXIiIiWLRoUb3HFRYWYm9vz7Jly+5YfEMIIYQQQgghHlelpaVMmzaNmzdvGvWk3snDkPtud9dzZg30er1SrMTwQAkJCezZs+eeC1yYmZkRFBRESUlJo44fMmRIk96Q++2JJ/oRGOjDF1/8v5ZuSr20Wh3HjiXQq1cIJiZ1r1UpHm3yHre8qqoqnn32F5w/H8+uXbuUoa5QMyT44MGDTbqen58fkyZNUuaKVlZWsnPnTs6fP091dTXR0dFERkYCNdVzv//+e6Dme+q7774LQGZmJosWLaK6upqnnnqKrl271rpPTk4O33//PdXV1YwdO5b27dtTWVnJl19+iU6n4+WXX27WQkYJCQls3LhR+ZkSEBDA+PHja83hfVC0Wi1ffvllg59g29jY8PTTTzd6yPC6deuIi4ujb9++9OvXr9FtqaqqYseOHQwePLjFXg9xf8l73PrJe9z6PSrv8d2udf4w5T6DJoXZ999/n2HDhuHj40NRURHLly9n7969bN26Fa1Wy8SJE4mJiWHjxo3odDoyMjIAcHJyuuP8po0bN7J8+XKmTJlC27Zt0ev1bNiwgc2bN7NgwYJGtc/U1PSh+ovTq1dvfv551SMRIExMNI9EO8Xdk/e4Zej1et577/+xd+8hduzYQYcOHZR9SUlJHDhwoEnFgLy8vJgyZYryPdUwRNnKyorq6mr69+9PdHQ0ULMW7fr165U1Xdu3b4+pqSkVFRWsWbMGrVZL+/bt6dGjR625/VVVVaxduxatVktISAidOnVCpVJx+fJlqqqqcHJywt3dvVlrAvj6+qJSqZT2Xr16le+//57Ro0crc2kfJFNTU8zMzKioqGDUqFFUVVWRmZlJYWEh5ubmeHl50aVLl0aPCNLpdFy+fJnq6mo6dOhwVz+vHrafc6L5yXvc+sl73Po97O9xY9r2sOc+gyaF2czMTGbMmEF6ejr29vaEhYWxdetWBg8ezPXr11m/fj1QU63yVnv27KF///4NXjs0NBQrKyvee+89UlJSMDc3JyQkhHnz5jFjxowmPdTDIioqii+++IK0tHS8vNrc+QQhRKvz1VfzWLx4BQsWLOCJJ55QtpeVlfHzzz83GGRNTEyUebVQs07qtGnTMDU1JTExkZiYGOLi4tDr9YSFhTFixAilei/A0aNHlXVNATp16oRer2fLli3k5eVhZ2fH6NGjlarIOTk5FBcXY2dnx4EDB8jKysLa2ppRo0YpofXWZWiaM8jq9XrWrFlDaWkp7u7u9OvXj61bt5Kbm8uCBQvo2bMnAwcObHLhp3vl4+PDxYsXiY2NZebMmff0zCUlJVRVVaFWq43WAhZCCCEeNo9K7mtSmJ0/f369+/z9/e9pqYHAwEDmzJlz1+c/jKKiogA4cuQkEyeOusPRQojWZsOGbXz44Wf8/ve/57nnnlO26/V6Nm3a1OAwH3t7e2U9NqgpoDBixAiOHTvG2bNnjfYZKhDfWjAhLy+PXbt2GV3T09OTnTt3KlWTQ0NDOXLkiLIWa13r244bN05Zwker1XL58mUAox7m5nDw4EGuXbuGqakpEyZMwNXVlcDAQLZt28aZM2c4fvw4ly9fZsSIEQQFBT2wKvGDBw/m8uXLXL9+nfT0dKUK9N0wVGU2MzOTKvdCCCEeao9K7rvnObOifu7u7vj7+3H27AUJs0I8ZmJizvHqq79i0qRJ/OUvfzHad+nSJS5cuFDvuebm5kY/JFQqFfb29ixdutTomI4dO9K9e3dcXV3ZvHmzsq+6uprFixcrw3Whpld3xYoVXL9+Xdl29OhRo/uamppibm5OcXGxsu3YsWP4+flhYmJCYmIilZWV2NjY4OXl1fgX4w6SkpKUNXGHDRumVD20sLBgzJgxdOrUiQ0bNlBQUMAPP/yAn58fkZGReHp6YmVldV+DoUajUXrIy8vL7+lahjD7MA89E0IIIR4lEmbvM7VarRRpEUI8HlJSbjBt2muEh4ezcOFCoyV3Kioq2LJlS4PnOzo6KnNPoKYnNysrC5VKRWBgIOHh4cr8VzAusa/X61m8eLHSc+vt7U1qaioFBQXk5+crx5mYmODv74+1tTVarRadTkdSUpISZP39/UlNTSUhIYFt27YxYsSI+zLEuKSkhNWrVytDpW8frgQQFBTE66+/zp49ezh58qSyNizUzM3p06cPXbt2RaNpvjnhVVVVHDp0iMOHD1NVVYWdnR0+Pj73dM2rV68C1FriRwghhBB3R1LWfVZcXIK1tfziIsTjorCwiClTXsHS0pq1a9fVCi67d++mqKio3vPt7OyMgizUBLauXbsSFhbWYMV2w7xTQ9ALCgpSemL1ej1qtZrq6mqCgoIYN24caWlprFu3jtLS0lrXGj9+PJmZmfzwww/ExMTQv39/4uPjgZow2xx0Oh0///wzRUVFuLi4MGLEiHpDsrm5OUOHDqVPnz4cPHiQK1euUFBQQF5eHps2beLw4cP079+f0NDQu/4AsbS0lMTERBITE4mPj1eCvbe3N2PGjLmnHtW0tDT27t0LQM+ePe/6OkIIIYT4Hwmz91lJSQnW1rL2rRCPA61Wy4sv/pLU1HQOHz6Mu7u70f4bN25w4sSJBq9x+zzaUaNG0aVLF6Pe3fps2rSJ2NhYoGbJGENPINT0BpaVleHh4cHkyZO5fv06P/30k9FQ5FutXr2a5557Dnd3dzIzM9m1axclJSVYWFjg7+9/x7bciV6vZ+PGjco82UmTJjWquJO9vT0jRowAanq5T58+zcGDB8nPz2fNmjWsW7cOe3t7JRRbW1vj5eVFQEAA9vb2VFRUkJ+fT3FxMRqNBrVaTX5+PsnJydy4ccPoXg4ODgwaNIjQ0NB76okuLS1l1apVVFdXExoaalSkSwghhBB3T8LsfVRdXU1JSUmjl20QQjy69Ho9v//9x+zZc5AtW7bQsWNHo/06nY4NGzY0qWBCcHBwo4KPTqcD4Pz580DN9IZb571CTfVkMzMzLC0tWbt2LRcvXjTar1Kp6NevH506dWL27NkkJSVx/vx5OnfuTGZmJqdPnwagV69ezTKcd9++fZw5cwaVSsXEiRMbvU7rrczNzenduzfdunXj+PHjHD16lJKSEqPh1Hl5eaSkpNSaH1wfQ+Epf39/QkJC7vlZS0pKWLZsGQUFBTg4OBhVhhZCCCHEvZEwex+VlZUBSM+sEI+BOXMWM2/eUr777jsGDx5ca//+/ftrDR+uj2GpnHbt2t3xWK1Wy5o1a4w+NKuurlauASjDiysrK0lMTKx1jfbt2/PEE0/g4eEB1FRFPnv2LKtXrzYq9KRWqwkODm7UMzTk5MmT7Nu3D4Dhw4fTtm3be7qemZkZUVFRREZGUlBQQFFRkfL8BQUFJCYmkpaWRnFxMRYWFtjb22NnZ4dOp6O6uhpra2u8vb0JDAxUKjc3h7y8PJYsWUJBQQGWlpZMmzYNCwuLZru+EEII8biTMHsfGXpGpGdWiNZt69bdvP/+J7z77ru88sortfanpaVx4MCBBq9hYWFBeXk5Go1GGfobGBjY4DklJSWsXLmSlJQUwsLClO1OTk7k5eUBNcG4vqHEbm5ujB8/vtZw6KFDh1JeXk58fDxpaWnA/9a8Xb16Na+//vpdrfeq1+s5duwY27ZtAyA6OpqIiIgmX6c+KpUKR0dHHB0dlW2+vr5Gr82DUlxczKJFiygsLFTWB3ZxcXng7RBCCCFasztPwhJ3raSkBAAbGwmzQrRWsbEXeemlXzJ69Gj+/ve/19pfXl7OqlWrGhxe7OHhoSz7EhERgV6vx9HREScnp3rPSUpKYs6cOUqxJ4NOnToZhVe9Xl9rWGtISAivvvoqr7/+eq0gCzXBOicnx2jbK6+8gr29PQUFBRw/frzedtWnrKyMVatWKUG2T58+PPnkk02+zqNAr9ezdu1aCgsLcXZ25oUXXpAgK4QQQtwH0jN7H/2vZ1aqGQvRGqWnZzJlyqu0a9eepUuX1ppfaShyVFBQUO81TExMlF7UPn36KMvs1NUrW11dzfXr1zl+/LhSWfhWYWFhWFpa1rqfIUhbWloyatQoOnTo0OBzVVVVkZubq3zt7++Pq6sr0dHRbNy4kfj4eKKiohq8hkFhYSGnT5/myJEjVFRUoFarGTBgAH379m21c0cPHz7M1atXMTExYfLkydjY2LR0k4QQQohWScLsfWQoQiLDjIVofUpKSpk69VXUahM2bNiAtbV1rWNOnTrFhQsXGryOubk5JSUl+Pr6MmDAAP71r38BKPNl9Xo9KSkpnD9/nri4uFqFnW6/1pEjR+rcZ2dnx4wZMxrVQ2ioiAw1Q3cHDRoE1FQShpoqwvWprq4mLS2Na9euce3aNZKTk5V9bm5ujB492mgebmtTUlKiLMEzbNgwXF1dW7ZBQgghRCsmYfY+0ev1fPzxX/Dx8SQw0K+lmyOEaEY6nY6XX36Xq1eTOHjwIJ6enrWOKSgoYOvWrQ1ex8TEhJKSEiwtLZkwYQLXr1+ntLQUS0tLzMzM2Lp1KxcvXjRal1aj0SjVi728vKisrFR6UW9d9sfFxUUZKmxlZcXzzz+Pg4PDHZ8tMzOTzZs3K/eaOnWqEj6vXbsGUKvysFar5dKlS8THx5OQkFAr7Pr6+hIREUHHjh0btcTQo+zy5ctotVrc3d3p2rVrSzdHCCGEaNUkzN4nixcvZseOnaxYMQ8LC/OWbo4QopmUl1fw3nt/Ytu2Paxfv57w8PA6j9u8ebMSOuuj1WoBGDduHHZ2dkr41el0LFy4UDnO3Nycdu3akZeXR2pqKgD9+vUjNDSUb7/9tlZA7N69O87Ozmzfvl1Z+qYxQbaoqIhly5Yp7e7evTtBQUEApKamKmG5c+fOQM36qSdPnuT48eNKjQComXMbGBhIQEAAwcHBjbp3a2GYw9y2bdtWO4xaCCGEeFhImL0PMjMz+eUvf8mkSaMZPPiJlm6OEKKZXL+ezLPPvkV8/BUWLlzIiBEj6jzu1KlTJCQkNHgtQw9r3759cXR0ZM2aNcTFxQFQWVmJmZkZ7dq1o2PHjgQEBLB69WpSU1PRaDRMmDCBDh06sGHDhlrX9fLyIjg4mBUrVgDw1FNPERAQcMdnq6ys5Mcff6SwsFCprHz8+HFyc3NRq9VcvXqV6upq/P39qa6uZt26dZw/f14J5La2toSFhdGuXTu8vLxafQ9sXQxDwoFWPZRaCCGEeFhImL0HlZWVmJiY1Pql7e2330atVvHXv/6hhVomhGhumzfv4o03foOLiytHjhypdwjp9evX2bhxY4PXMgRZZ2dnioqK+Oabb5QiTRqNhvHjxxMSEoKpqSl6vZ7Nmzdz+fJlTExMmDRpEhkZGezatUsZXmzoAVSpVERGRirVk7t06ULPnj3v+GzV1dX8/PPPpKenY25uTseOHYmLi6O0tJSrV6/Wer7r168rX3t4eNCnTx86duxYqwDW4yYjI4O8vDxMTEzw9/dv6eYIIYQQrZ6E2buUkZFBr169sLa25v3332fKlCmYmNQUgvnpp5/47rt/4Oxc/7IaQohHg1ar5f/9v3/y73/PZezYsSxYsKDeYbOXLl3ip59+uuM1DcN48/LylEBqY2NDcXExvXr1IjQ0VDn2yJEjnDx5EoD+/fuzdetWpbicgSEId+jQgU2bNqHT6ejQoQOjRo2641BXnU7HqlWrlOrIFRUVnDp1Stmv0WhQqVRKD6xKpcLFxQVfX1/Cw8Px9vaW4bT/ZSic1bZtW8zNZXqJEEIIcb9JmL0LFRUVjB8/jsrKctq3D2TGjBn83//9H7/61a/4+OOPGTToCSZNGt3SzRRC3KOMjCxeeOEdjh+P4R//+AfvvvtuvcEtJiamzmG/t1OpVEr41Ov1BAcHExkZydKlS4GadWINLly4wI4dOwDo1asXBw4coKKiAnt7ezw9PZVhyQYajYaSkhLc3NwYN25cvUN9CwsLSUxMJCEhgfj4eCWoQk2xqMDAQPz9/fHz88PZ2RmVSoVOp0Or1WJmZibhtR6XLl0CjN9DIYQQQtw/EmabSK/X89prrxETc5pNm36ge/dwzp27wD//+S2zZs3CysqSzz//s/yyJ8Qj7sCBo7z00ruYmJiyd+/eetdV1ev1HDp0iF27djXquoYg6+vry8CBA/H19eXs2bPKsGMPDw+gpnLwmjVrAIiIiCAuLo6Kigr8/PyYPHky//73v2td++LFi0DNkjCmpqa17nvp0iUOHz6sFJG6lZeXFwMGDMDf37/OEKzRaB77YcQNKSwsJD8/H5VKVecawUIIIYRofhJmm+jrr79m4cKFzJ79Gd2711QxDQvryMKFX3H58lXKy8vx9ZXCH0I8qqqrq/nXv77jk0++4Mknn2TZsmW1lqIx0Ov1bN++naNHjzbpHkOHDqVnz57Kh17nz58HaqoEq1QqYmNjWbt2LdXV1bRv3x61Wk1hYSH29vZMnTqVS5cuUV5erlyvbdu2QM2QYScnJ/z8jJcDy8vLY/369UqlXQBra2ulAnG/fv148sknm/QMwphhmLaHh4cMMRZCCCEeEAmzTfTDD0sZPPgJpkwZW2tf27ZBD75BQohmk59fwKuv/podO/bywQcf8OGHH9bbG6nT6diwYQNnz55t0j3Cw8Pp1auX8nVJSYlSZKljx47s27ePvXv3Kl936tRJmYc7YsQITExMWLt2rXJ++/btGTduHFu2bAFq1oA1hGS9Xs/p06fZsmULWq0WU1NTwsLCyMzMVHpnn3zySfr169ekZxC1GYZ8G5YtEkIIIcT9J2G2idq1a8+5czEt3QwhRDOLiTnH88+/RXFxGZs3b2bYsGH1HltWVsbq1atrVfq9EwsLCwYPHmy07fz58+j1ejw8PNi7dy8XLlwAoE+fPvj4+LB69WoAunXrhp+fH19//bVybmhoKBMnTjSa81pVVQXUzO3ftGmTUpTI398fT09Pjh07hk6nw9TUlFGjRkn4agbZ2dkkJiYCNGoZJCGEEEI0DwmzTRQeHs5PPy1Hp9PJ/DEhWgG9Xs+8eT/whz98QteuXVi5chW+vr71Hp+VlcXy5cvJz89Xlti5E7VaTXV1NdHR0VhbWxvd+/Tp0wCUl5dz4cIF1Go1I0aMQKvVKmvFtmvXjsjISObOnWtUyXjSpEm17nXjxg1SUlJYt24dubm5qFQqBgwYQEFBAYcPHwYgMDCQkSNH4ujo2LgXSdSrvLxcKd7l5OSEq6trC7dICCGEeHxImG2i8PBwyssruHr1ugwrFuIRV1xcwttv/4Gff97Em2++yeeff46ZmVm9x1+6dIk1a9ZQWVlpNOe0ISqViurqamxtbenRo4fRvsTERDIzMwEoKCjA0tKSyZMnk5aWplQx7tatGxEREcyZM4eKigrl3OnTp9e6l729Pfn5+SxYsAC9Xo+dnR0jRozgzJkzyjDYESNG0L17dylS10zOnz9PYWEhjo6OPP/88/IhpxBCCPEASZhtorCwMADOn78kYVaIR1hcXALPPfcLbtzI5KeffuLpp5+u91i9Xs/+/fuVuayenp5KCL0TMzMzKioq6Nevn1GFYb1er1wPwMTEhKlTpwKwc+dOoGZd2cDAQObPn2/UA2xhYVFnxVxXV1fy8/PR6/X4+/szceJEvvvuO4qKioCaIBsREdGodovGMby2Pj4+2NjYtHBrhBBCiMeLhNkmcnFxwdPTk59/3kRSUirJyamYmpry17/+QT6RF+IRsWLFOn75yz8SGBjIyZMnadeuXb3HVlRUsHbtWmUN0a5duxIXF1fv8OJb15H18fEhJSUFR0dHunbtanTcmTNnSElJUb4eO3Ys3t7ezJkzB71eT6dOnfD19WXRokW17hUVFWXUs1pdXQ3AlStXlG1mZmZYW1srYQuQIHsfGIaknzt3jvDwcFmWRwghhHiAJMzehaioKFasWMHu3QcpKysDoE+fCMaNG97CLRNCNKS8vIL33/+YBQt+ZObMmcyePRsrK6t6j8/NzWXFihVkZWWh0WgYOnQohw8fNloW51ampqZKAaY2bdqQk5MD1Cx9c+uHXXl5eWzdulX5ulu3bnTs2JHz58+TkZGBmZkZHTt2ZOnSpUpQHTRoEHv37kWr1RIcHKycq9frlWtpNBoGDhzIzp07uXz5Mhs2bLjt+cuxsLBoyksm7uDW4lsFBQUt1xAhhBDiMaRu6QY8in744Qfy8vIYNGigsu3zz2crvTFCiIdPUlIKQ4dOZtmyn5kzZw4LFy5sMMjGxcUxd+5csrKysLGx4dlnn+XMmTNGBZhuZW1trQRZwzDgsrIynJyclOkJUFMJ+ccff6SyshKomef61FNPUVZWxvbt2wHo0KEDq1atUoJsly5daN++PVqtFhMTE6N1b0+fPs25c+cAGDNmDH379lXWjI2JMa68Lt+jmp+honVYWFit3nchhBBC3F8SZu+CiYkJmZmZbNiwkS5dOgFw4cIlduzY18ItE0LUZcuWXfTvP5aiojKOHDnCyy+/XG8BJJ1Ox7Zt21ixYgUVFRX4+vryyiuvsHv3btLS0modr1KpcHd3NyoGNWrUKCVI9uvXD7W65lttWVkZS5YsUXpsAYYMGYJOp2PJkiUUFRVhY2PDhQsXlKHFFhYWDBkyhNzcXACcnZ2Vtufm5hr18LZt2xaA6OhoZsyYQVhYGE5OTpiamvL8889jaWl516+hqJvhA4LGVLUWQgghRPOSYcZ3qX379jz33HOsXr2KV1+dyXffLWby5JfJz09o6aYJIf5Lq9Xyl7/8iy+/nMOYMWNYuHAhDg4OdR6r1+vJy8tj7dq1pKamAjVrvT755JN8//33ZGRk1DrH1NQUX19fo/Vmo6OjycvLU3plDeu4lpaWsnTpUtLT05Ulffz9/QkMDGTJkiWkp6djampKaWkp1dXVmJubU1FRQffu3bG0tFQqGRt6k3U6HT///DNVVVV1rm0aGBgo8zcfgA4dOnDy5EnlA4jJkye3dJOEEEKIx4b0zN6DL7/8EicnZ2Jj4wgM9AMgPv7KHc4SQjwIGRlZjBkzk//8Zz6fffYZa9asqTPIVldXc+LECT7//HP+85//kJqaiomJCX369KG4uJi//vWvdQZZtVpNhw4djIJsQEAAffv2VdZzNfTKZmVlMW/ePNLT0zE3N0en06FWqxk6dCgbNmzgxo0bqNVqqqqqqK6uRq1WU1FRgUajUYo2GSohG0Ltnj17uHHjBhYWFowcObK5Xz7RSLd+YCDDuIUQQogHS3pm74GdnR0LFy7kySef5KOPfktoaDsl1AohWs7Bg8d48cVfotGYsGfPHqKjo+s8Lisri3Xr1nHjxg2j7VqtliNHjjR4j6CgIGWuKoCtrS2jR49m8+bNSq9sp06dOHr0KLt27UKr1WJvb49er6eiooJevXpRWFjIxYsXgf9VJDb82cXFhWHDhikB3MXFBYDMzEy2bdvG0aNHARg9ejS2trZNe4FEs+rQoQNxcXF4eXm1dFOEEEKIx4r0zN6j/v3788477/Dxx1/g6elhtI6kEOLBqq6u5p///JYxY2bSqVNnTp8+XW+QPXPmDHPnzjUKsqGhoXTr1q3e+bQGdnZ2JCT8b0qBRqOhV69eLFq0iNjYWFQqFT179mTJkiVs27YNrVZLYGAgbdq0obCwEHt7e7p06cKaNWuUaxjm1To6OjJx4kRef/11o14/Z2dnPD090el0SpCNjIykQ4cOTX+hRLPy8fEBYPfu3Xz77bdKcS8hhBBC3F/SM9sMPvnkE7Zt28Zrr/2aHTtWYGZm1tJNEuKxk59fwGuv/Zrt2/fyhz/8gT//+c91rv1cXV3N1q1bOXHihNH2QYMGUVFRwcGDBxscLqpSqSgsLDTa5urqys6dOwGwsbHBzc1NKcxkamrKkCFDANi0aRMqlYqOHTsyb948pfqxtbU1JSUleHh4MGPGjDqrLKtUKsaPH8/WrVspKyuja9eudOvWrQmvkLhfevToQVxcHCkpKWRmZjZbMaj9+/dTWVnJwIED73ywEEII8RiSMNsMLC0tWbJkCb179+azz77mD3/4ZUs3SYjHyunTsTz33C8oLi5j8+bNDBs2rM7jdDoda9as4cKFC8o2U1NTIiMjOXz4MKWlpXWeZ2ZmpvS23R50VSoVGRkZqFQqHB0dycvLo7i4GKjp6R00aBBVVVXMnTsXAAcHB2VOLdQMTy4qKsLKyoqpU6c2uFyQs7MzzzzzTCNeEfEgmZiYMGXKFD777DOgZlmnrl273rGHvyGxsbHs2bMHAH9/f/z8ZAqLEEIIcTsZZtxMunfvzp/+9Cf++c9vOXHidEs3R4jHgl6vZ/78Hxg6dAoeHp6cPn263iBbVVXF0qVLjYKss7Mz3t7e7N27t94ga2tr2+CwUUO4NVRDhpqiQC+++CKTJk3C1taW1atXo9VqUalU5OfnG/UYFxUVATVzX+3s7Jr2AoiHhpWVFd27dwdgw4YNHDhw4J6ut23bNgB69uxJcHDwPbdPCCGEaI0kzDaj3//+90REdOf1139DaWlZSzdHiFatuLiEl19+l1/96kNeeeUVDhw4iK+vb53HlpeX891333H9+nWgpje1e/fuVFZWkpiYWO89zM3N6w25t3N3dycqKopZs2YxY8YMvL29Adi+fTtZWVlATeD18fHBwsIC+N882e7du9OuXbtG3Uc8vG79IOVeemXLysqUdYv79et3z+0SQgghWisZZtyMTExMWLx4CV26dOHDDz/j73//U0s3SYhW6dKlBJ577i3S0jJYvnx5g2t73rx5k9mzZytL2ri4uNC1a1d27dplVEG4LoZz6mJtbU337t0JCAjA3d0dS0tLo/16vZ79+/crc3M1Gg1DhgxBq9WyY8cOoGb+bkBAgDKnVjzaNBoN7du359KlSxQWFqLX65sUavV6PXv27FH+zjg5OTU47FwIIYR43EmYbWbt2rXj73//O2+99RbDhg3gySejWrpJQrQqK1eu5513PiAgIJATJ07Qvn37eo/Nyspi7ty5aLVaoGbIprm5uRIm71bnzp0ZPXo0JiZ1fwvNzs5mw4YNpKSkADU9vK+88gpOTk7MmzdPOa5Pnz5EREQoPbTi0RceHs6lS5c4efIkaWlpBAUFERkZqfTG16WyshITExMuXryoDE+2sbFhwoQJ99TDK4QQQrR2Embvg1mzZrFu3TrefPP3HDq0EQcH+5ZukhCPvIqKCt5//xO+/34ZM2bMYPbs2VhbWxsdU11dzbFjx/Dw8ECtVrN48WKl93X06NHEx8cTHx/f5HvfWgCqe/fujBgxos6QodPpOHjwIAcOHDCqaDtjxgycnJzIyclRlgKysLDg9OnTHDlyBBMTE5588kn69u3b5LaJh0v79u0ZOnQo27dvJz09nfT0dOLj45k+fTp2dnbo9XquXbvGzZs3leC7du1aqqurlb+rnTt3ZtSoUbLUmxBCCHEHEmbvA7VazYIFC+jcuTO/+c1HzJnzeUs3SYhHWnJyKs8++wvi4hKYM2cOL730Uq0wWVVVxSeffFLrXJVKxdixY9m1a1etJXVUKlWDy/AAtGnThvT0dAAiIiIYPnx4nUE2LS2N9evXK/NjLSwsKC8vJywsDEdHR9atW8fZs2eV+5WXlyvnGoYeBwQE0KZNm0a8IuJh1qtXL0JDQ0lISGDPnj1kZ2fz9ddf4+vrS2FhofJ3ZMOGDbXO7dKlCyNGjKi3118IIYQQ/yM/Le8THx8f/vOf/zBjxgyGDx/E2LF1V1gVQtQvJeUGc+YsZtGin3BxceXw4cN1rq1aUlLCP/7xj1rbTUxM6NevH2vXrjUKraampmi12lpBVqPRGPWo+vn5kZSUBNQMUR46dGitIFtcXMyuXbs4c+YMUFPVtn379sTExGBmZkZERATz589XKh3f6oknnqBfv3789NNPXL58me3bt/Pss882/gUSDy1bW1u6detGQEAAK1asICMjgytXrtQ6Tq1W06NHDyIiIrCyspI5skIIIUQTSJi9j5555hnWrl3Le+/9H717d8fDw62lmyTEI+HUqbN8/fUC1q/fiq2tLa+//ga/+93vcHR0rHVseno6c+bMqbXd2toaa2trdu/ebbTd3t6emzdv1nnfW4OsRqNRgmzv3r0ZMmSIUZDVarUcO3aM/fv3K0OQw8LC6NOnDwsXLgTAzc2NpUuXUllZadQL3L59e/r166f0wj711FNcvnyZ69evU1VVJcNLWxFHR0deeeUVUlNTycrKwszMjMDAQCwsLCgsLMTGxkbebyGEEOIuSZi9j1QqFbNnz6Zz5868/fYfWL58jhTzEKIeOp2OzZt38vXXCzh27BRBQUF8+eWXPPvss9jY2NQ6Pjc3l71793L+/Pla+zw8PMjMzFSWN4H/9brWF2Trao+bmxtDhgwhKChI2V5dXc25c+fYv38/+fn5AHh6ejJ06FC8vb2ZO3euUgU5NTVVOe/WXuBx48ZhZmZmdC/ReqlUKnx8fPDx8THaXteHM0IIIYRovFYXZs+fP4+joyNeXl4t3RQAXF1dmTt3LqNHj2bx4hU8+2z9S4gI8TgqKipm2bLVzJ69iKSkFGVY8MiRI9FoNLWOz8rKYufOnSQkJNTap1KpMDc3JyMjo9a+pgTGkJAQevXqRWBgoPIBVHV1NbGxsezfv18ZMmxjY8PAgQMJDw9HpVKxceNGZX7trW0KCQmhc+fOrF27Fp1OR1FREc7Ozsoxp06dAmqqoUsvnRBCCCFE47SqMHvp0iW2bNmClZUVL774Ik5OTi3dJABGjRrF9OnT+cc/vpEwKx55sbFxfPjh3zE1NcXT0wNPT/f//t+DNm1q/mxrW7sn9XaG+bBLlqykpKSUp59+mlWrfklEREStYy9fvkxSUhJFRUWcP3++zqJNpqamVFVVGRVWaqrw8HCGDBliNG9Rq9Vy9uxZDh06pPTEWllZ0bdvX3r06KH0sKalpSmhVK1WU11djYuLCxMmTMDDwwOA/fv3k52dTWJiIpWVlcowY8NcyvDw8LtuuxBCCCHE46ZVhdmAgAA8PDzIyMjghx9+4Pnnn69zeGJLGDNmDEuXLiUzMxt3d9eWbo4Qd2Xjxu289tqv8fcPICAggNOnL7Jx406ys7ONjrO1tflvuHUzCrmenh6Ym5uxdOkq1q2rmQ/76quv8eabb9YagglQVlbGF198ocxJbUhVVVWtbbcXdGrIiBEjjIJ0VVUVMTExHD58WKmCbGlpSd++fenZs6fRMGGA1atXAzU9sdXV1Tg5OfHCCy9gaWmpHOPk5ER2djabNm0CYNKkSbi6upKbm4tKpSIgIKBRbRVCCCGEEK0szJqbmzNt2jSlcuj8+fN55plncHFxuS/3y8/PJz8/H3t7e6Mhg3Xp0aMHADEx5xg2bOB9aY8Q94ter+cf//iaTz75kkmTJrFgwQKjNV7Ly8tJT08nNTWV1NRU0tLSlD9fu5bK/v3HSE/PQKPRoNfr8fX15YsvvuC5556r9wOns2fPsnbt2rtqryHE1hdkDT2nBk899ZQSZCsqKjhx4gRHjhyhtLQUqBlO3LdvX7p3714rxELNqBBDr62h13jSpElGQRagf//+RuvcXrlyhV27dgE1Q4wtLCzu6nmFEEIIIR5HrSrMQs1yCDNnzmTp0qXk5+fz/fffM3Xq1Dp7fe7VxYsX2blzJ+Hh4YwdO7bBY319fXF1deX06VgJs+KRUlpaxqxZv2Xt2i189NFHfPDBB+j1eo4cOcK5c+fIzc1Fp9Ph4OCAs7MzTk5OBAcH4+DggJWVFTk5OcTExJCcnAzUBMnXXnsNV9e6RygUFRXxz3/+02ibWq1GrVaj1Wrv2N479cYahiMb9O/fn969e1NaWsqxY8c4fvy4MlTZwcGByMhIunTpUu+6nykpKaxatUppZ3V1NeHh4crQ4lt5eHgQFBTE1atXATh9+jRQU3l50KBBd3w2IYQQQgjxP+qmHDx79mzCwsKws7PDzs6OPn36sGXLljqPffXVV1GpVHzxxRdG2+Pj44mMjMTb25uPPvrIaN/p06cZOXIkbm5uWFhY4O/vz+TJk8nJyWnSQzk5OfHiiy/i5eVFWVkZixcvJi4urknXaAxDxVJzc/M7HqtSqejRowenT9euvCrEwyorK4fhw6eyffs+Vq9ezR//+EcqKir44Ycf2L59OxkZGVRVVVFdXU1eXh4JCQkcO3aMzZs3s2zZMubNm8fatWuVIAs1hZS++eabWmtuZmdns3DhwlpB1s3NDb1ef8cgq1bXfDszBFmVSlWrWqyJiYlRkH3iiSfo1q0b27dv54svvmD//v2Ul5fj4uLC2LFjefPNN4mIiKg3yBYUFLB06VLlntXV1ajVap544ol62zlx4kSjXu22bdsya9asO47uEEIIIYR4UB6V3Neknllvb2/+9re/ERwcDMCiRYsYM2YMp0+fpmPHjspxa9eu5dixY3h6eta6xqxZs5gxYwY9evTgtddeY+DAgURGRpKVlcWgQYMYNWoU27Ztw8HBgcTERNavX68M9WsKa2trnn32WVavXk18fDwrVqxg8ODB9OnTp9mWxzGE2bqGHdYlICCA1atXNsu9hXgQ9u49xNmzF9i+fTuDBw+moqKChQsXkpmZiampKb169aKiokIZYtwUdnZ26PV6rly5wrFjx5TeSgO1Wo2/vz/Xrl1r1PVuHTYcGhpKdna20VxelUplFIgHDhxIWVkZX375pRJGPTw8iIqKokOHDko4bsiOHTtqzeeNjo5ucMkVCwsLfvWrX5GXl0dlZSXu7u6yZJcQQgghHiqPSu5rUpgdNWqU0dcff/wxs2fP5ujRo8pDpaWl8eabb7Jt2zZGjBhR6xoFBQV07dqVsLAwPD09lTUfDUVW5s2bp/SCBAQEMGDAgCY90K1MTU15+umn2bJlCydPnmTHjh0kJiYyZsyYZikMZfhlt67KqrdbvXo13377LdOnT7zn+wrxoAwZ0h8zMzNiY2MZPHgwW7ZsITMzE2tra7y9vTl48GCTrxkWFsagQYO4cuUKK1eurPMTOC8vLyoqKhodZA38/f3p3bs3mzZtoqioyGif4d+pSqWiZ8+enDx5Uvn+4+3tTb9+/QgODm50sKyoqODixYtG2/r370+/fv0adf7DUm1dCCGEEOJ2j0ruu+s5szqdjpUrV1JSUkKfPn2Amp6RGTNm8Otf/9oosd/qo48+YvDgwZSVlTFy5EieeuopoKZHRKvVsmbNGiZOnNhsPRVqtZrhw4fj5ubG9u3buXLlCrNnz2b06NG0a9funq5tWAPzTtVS169fz5QpUxgzZiiff/7ne7qneLSUlZVTUHATDw+3Fut9Ky0tA6CkpBR7e9smnevgYM/QoU+yePEi3n33XS5dugSAu7u7USGj+jg5OeHr60ubNm3w8vKiTZs2xMbGMm/ePKVC8K1UKhVhYWFcvHixzurEDd1n1KhRaDQali5dWm/1Y0tLS9zd3Tl27BgA9vb2DB8+nJCQkCa/P0eOHFH+rFarefrpp+/5e4oQQgghxMPmYc59TQ6zsbGx9OnTh/LycmxsbFizZg2hoaEAfPrpp5iYmPDWW2/Ve/7w4cPJzs6msLDQqABM7969ef/995k2bRqvvfYaPXv2ZMCAAcycORN3d/dGta2qqqreX4C7dOmCt7c369evJysrixUrVtClSxcGDBjQ6GHCt7OwsECtVlNYWFjvfXfs2MGMGTMYM2YoX331V/R60Gobt1TIg2Boy8PUpvstNzePadNeJzc3jw4dQmjXLoQOHUJo3z6YoKBALCzu7u9DSUkpFy7Ec+FCHLGxlzh//hIJCdfQ6XS0aeNOREQXevToQs+eXWjXLkT5MOR+0uv1vPLKe7z++lt06zYItVqFi4szbm7OuLm54Orq8t+vXXB1rfm/i4sTLi5OmJqaAjB58nheeukdzp49i729PTk5OVy/fr3OYbjPP/98vf9e09PTWbBgATdu3ACodb6trS0uLi7ExsbWub8uFhYWDB48mNDQUBISEli7dq0yb/V29vb2lJeXk5ycjEajoUePHkRFRWFmZtaowlIGZWVlrF69mtTUVOU+I0eOJDAwsEkBvDkZ7ttS9xf3n7zHrZ+8x62fvMet36PyHje2fQ9z7jNQ6RszRvYWlZWVJCcnU1BQwOrVq5k3bx779u2jrKyMESNGEBMTo4yZ9vf355133uGdd95p9PVzc3PZvXs3R48eZe3ateTl5bF//346d+5c7zmFhYXY29uzbNkyrKysmvI4QgghhBBCCPHYKC0tZdq0ady8eRM7O7t6j3sYc9/tmhxmbzdo0CCCgoLo0KED7777rlGPiE6nQ61W4+Pjw/Xr15t87crKSrp27UpERASLFi2q9zhDmM3JyWnwDbnV9evX2bBhAyUlJVhbWzNmzBh8fX2b1L6qqir+/e9/U1VVVWeP1KxZs9i1awf796/H3PzOvX1VVVVKb9iDotXqOHYsgV69QjAxuf89hQ9CWVk5KSlpJCenkZqaRlJSmvJ1SkoaWq2OzZs3K+uKAhQXF3Px4kUuXrzIhQsXlP8KCgqAmnVG27ULpH37EOW/Dh1CsLOrGbZ79ep1nnxyHHPmzGH8+PH1vo/l5eXExMRw5MgRjhw5zNGjxygqKsLU1JTOnTsQEdGFnj27EhERjpNT/UWEGvs6DBgwnh49ejF58mQGDx5cb7uqqqrIzc0lMzOTzMxMsrKylD/X/JfBiBEjKSkpQaVSKfNP27Zti5WVFWfOnAFqht537NiR4OBgfH19lWG/mZmZdd731mvV5/aldFxcXJg0aRL29vbo9Xr27dvH0aNH6zzX2toanU5HeXk5arWa6OhoevXq1aheX51OR1JSEvHx8Vy5coWSkhKj/VZWVpSWlhIdHU1kZOQdr3c/VVVVsWPHjgbfY/Fok/e49ZP3uPWT97j1e1Te48LCQlxcXO4YZm/3MOS+293zOrN6vZ6KigpmzJhRa53Ep556ihkzZvD888/f1bXNzMwICgqq9UtkfUxNTRv9FyckJIQXXniBH3/8kaysLJYuXUrbtm0ZPHgwLi4ujb5fYGAgcXFxnD9/Hm9vb6P9vXr1Yt68eVRUlGNtbcn585fYs+cgOTl55OTkkp2dS25uPjk5eWRn51BRUcn777/De++93qj7NycTE02rCLM//vgzb7zxW+VrMzMzAgL8CQgIpE+fKKZNq5lc3q1bN6PzHB0diYyMNAoler2etLQ0YmNjiY2N5dy5cxw/fpZFi35SwpWXVxtCQ9vi6OhAWVkZYWFhDY4OMDU15YknnlCWbtHpdFy4cIGDBw9y4MABVq3ayJdffgdA27ZB9O7dnd69u9OnTwR+fj5NmlPwn//MIzk5lU2bthAXF9fgvw9TU1OsrKzqXY+5tLSUf//730YVg4cPH06PHj2UdWShZv7EmTNnlHB7L9zc3MjOzlaqhqvVaoYOHUqPHj2Amtdu9erV9S675ebmRlZWlvLncePG1bn26620Wi1Xr14lLi6O+Ph4Zb3Z2w0cOJArV65QXFyMk5PTQ/MDqynfA8WjSd7j1k/e49ZP3uPW72F/j++2bQ9T7jNoUph9//33GTZsGD4+PhQVFbF8+XL27t3L1q1bcXZ2rrVOoqmpKR4eHo0qirJx40aWL1/OlClTaNu2LXq9ng0bNrB582YWLFjQpIdqLAcHB1544QV27NhBTEwMly9f5tq1awwfPpwuXbo0Kjh069aNuLg4zpw5U2v+7dChQ9Hr9ezefZCJE0fx//7f5+zZcwg/P19cXV1xc3PH37/tf//sRkJCAn/5yz9xdXVm5syn78szt3bp6VlYW1uzZcsWAgIC8PT0bFQvXF1UKhXe3t54e3szbNgwZXtlZSWXL1/m3LlzStA9cuQUtra2tT7QuBONRkNYWBhhYWG88cYb6PV6kpOTOXjw4H//O8DixSsA8PBwU8Jt794RdOzYrt71T5OTU/n3v+fx7rvvEhAQcE/rLJeUlLBy5UoqKirQaDTodDq6deumhEpnZ2fCw8M5e/bsXd/jVp6enpSUlChBFMDV1ZUXXngBCwsLoKY63qJFi5Se81tZWFhgYWGhnB8ZGUn//v3rfa0qKytJSEggLi6OhIQEo+JR1tbWODo6KssOGZYL8vLyYs+ePUDN9xEhhBBCiNbkUcl9TQqzmZmZzJgxg/T0dOzt7QkLC2Pr1q0MHjy4STetS2hoKFZWVrz33nukpKRgbm5OSEgI8+bNY8aMGfd8/fqYm5szcuRIevfuzZYtW7h27Rrr16/n+vXrjBgx4o7FoYKCgnByciIvL4+zZ88qv+BDzfIiYWGd2blzPxMnjsLe3o6+ffuyd+/eOq+l1+vRarX88pd/pH//vvj6Ni0YCbCzs6WyspKoqKj7Vj3YzMyMTp060alTJ6Pter3+nu+pUqnw8/PDz8+PZ555BoC8vDyOHDnCgQMHOHjwAH/609+prKzExsaaHj26KOG2e/dwrK1reoX/+Me/4eTkxB/+8Ie7aodh2HVKSgpXrlyhvLxcCbK2trb07NmTEydOkJ6eTnp6Ovn5+Y26rpmZGWq1us4eT8OICEOBKINhw4bRs2dPoOY1PnDggBIkb+fk5ERRUREFBQXY2Ngwbtw4AgMDax1XXl7O5cuXiYuL48qVK0YFoOzs7Gjfvj2hoaE4Ozvzr3/9S9leWFjItWvXjJYM2r17N76+voSEhODt7S1rxgohhBDikfeo5L4mhdn58+c36eJNGS8dGBjInDlzmnT95uTi4sL06dM5ePAge/bs4dy5c9y4cYNJkybh5uZW73mGNSu3bt3KwYMH6dKli1HX/bBhw/n++/lUV1fj6urM+fOXG7zW+PHj+e6774yGc4r6abVazp27yKFDxzl8+ARHj56kuroanU5Xb0/c/XK/QoyTkxMjRoxQ1u8qLy/n5MmTSu/t7NmL+etf/42JiQnh4R1p3z6Y9eu3sWTJEmxsbIzmmxrmM9zaVr1eT05ODjk5OeTm5nL9+nWuXbtmNJfV0dFRCayWlpZ8++23dT6/qalprWVxTE1NadOmDXl5eRQXF9c6z87OTmnDraytrXnxxRdxdKyZO2yoVlzfYtqurq5kZ2cDNd9Pxo0bZ7SedGlpKZcuXSIuLo5r164Z/RtzdHSkQ4cOhIaG4unpqczl3bVrl3KcYSkhGxsbo+dISkoiKSmJAwcOEBQUxLhx47C2tq6zjUIIIYQQj4JHJfc92N/2H3IqlYro6Gh8fX1ZvXo1OTk5LFiwgBkzZiiVuurSvXt3ZfHfgwcP8uSTTyr7hg0bxqeffsq5cxdxdnYiKyu7wTYkJCRgamqKt3f99xM11q7dwltvvU9RUTGWlpb06dOHX/7yPYYNG/bAg+yDZGFhQVRUFFFRUUDNPNWLFy/+t+f2IAcOHGTw4EFMnjyZ8+fPk5CQgFqtZu7cuWRnZ2NjY8PQoUNxdXXlzJkznD9/nqKiolr38fT0xMHBgezsbCUkAsrwXUMBJAO9Xm8UZDUaDa6uruTl5ZGcnFzr+hqNBhMTkzrXm+3YsSNjx45Fo9GQkJDAtm3byM3Nrfc1sbGxITs7G5VKRf/+/YmOjkalUlFUVERcXBxxcXEkJSUZBXRXV1c6dOhAhw4dcHd3VwK+Xq/n4sWL7N69u857lpaWMnbsWNauXQvUzI0vKSkhLi6Oq1evsmDBAl566SVlSLQQQgghhLg/Wu9v/PfAz8+PV199leXLl5Oamsry5ct588036x1ybGJiwpAhQ1i1ahUHDhygbdu2eHl5AdC3b1/s7OzYuXMf7u5u5ObmotVq6w1bV65cwd/fp1WHseaQnJzKW2+9z5NPDuC3v/0tERERd71e8KNOrVYrw55ff/11CgoKiImJ4csvv6SkpAS1Wk1YWJgSzIqLi1m1alWt62g0GkxNTTExMaGyspIbN27UGvJra2tL165dKSsr48SJE/W2SaVSodPpyMjIqHO/YciyTqerdd7IkSPp0qULcXFx7Nmzp8EQq1KpUKlUFBcXY2try4QJE/D29ubixYucPHmy1qeEHh4eSg9sXYXe4uPj2blzZ61eYqjpvbWysiItLY3Tp08TEhJCQkICly5dYubMmTzxxBMsWbKE3NxcVq9ezdSpU+96vrYQQgghhLgzSUz1sLa2Zvr06Xz33Xfk5+ezf//+WlW7btWxY0cuXbrE+fPn+emnn3jxxRext7fH1NSUQYMGsW7dNn7xixcByMnJqbeqakJCAgEBtZcIqqio4Ny5i3Tq1AFLy8e7x0en0/H667/BycmZxYsXY29v39JNajF6vZ78/HyuX79OcnIyycnJRvNXbW1t6dy5M6Wlpfj6+pKSklIrQBrUFS6hZlhxUFAQXbp0ISAggJSUFBYuXHjHdjWkrvvY2dkxfvx4MjIy+Ne//lXnkORbmZiYoNVq0ev1BAcHM2jQIC5evMiqVauMzvX29lZ6YA1Dlm9XXV3N5s2bOXXqVL33mzFjBocPHyYtLY3i4mKee+45Fi5cSG5uLgsXLuSVV15hypQpfP/991y5coVNmzYxcuRImUMrhBBCCHGfSJhtgLm5OUOHDuXHH3/kyJEjdOnSpcFle4YPH05mZibZ2dksWLCAZ555BldXV15//XXGjBnDL37xPlAzTLO+MHvlSgIDBvQFICkphR079rNz5z4OHDhKaWkZX331CdOnT2r+h32EfPPNAo4cOcmePXseyyCr1+u5ceMGZ86cIT4+vtYQYUMRqfDwcCorKzlx4gTe3t4kJycbzRNVqVRYW1vj5OSEnZ0d5eXlFBYWotVqsbOzo1OnToSFhRnNAT937hybNm0CoGvXrqhUKmVZHgsLC7RarVExJUPgvJVara41J7xt27Y4OTmxbNmyWnNub382vV5vtPZsjx49qKysZM6cOcp1ra2t6d69O926dbvj35Gqqirmz59fay1cOzs7pkyZoszp+Pe//63s8/Pzw8bGhueee45FixaRk5PD5s2befrpp5kwYQI//fQTMTEx2Nra0r9//wbvL4QQQggh7o6E2Tto27Ytbdu25fLly2zdupVnnnmm3p4WS0tLnnnmGRYvXkxeXh5z586lX79+REZGEh8fz29+8xt+/PFHNJq613PV6XRcu5aIpaUZPXs+RULCNUxMTIiKiuL//u9Dfv/731NRUf8v+g+DyspKDh06zqZNO9mxYy9WVlZERvYkOroXkZE9cXFxrnVOeXkFH374d9au3YK5uTkWFuZYWFhgaWmOpaUlFhbmWFpaYGFhjrm5OcuW/cy7776rrNX6MDMUNkpJSSEvLw8fHx/KyspwcnLC29u7ScNQy8vLOXfuHKdOnTJatkaj0eDl5YWfnx8+Pj5otVpiYmJYv349er0etVqtLBnk5+dH9+7dadOmDU5OTg3eX6/XK/NlTU1NOXfuHBcuXADA39+fp556isLCQlQqFbGxsUqFYsNw5fLyciXIqlQqbG1tKSwsNAqyGo2GNm3akJCQ0GBvriG86vV6NBoNVVVVmJqa4u7ubjTc2dfXlx49etChQ4d6/53dqrCwkDlz5tS5pllkZCRt2rTB1ta21gcGw4cPB2rm6k6YMIG5c+cq60136tSJESNGsGnTJvbt26fMyRVCCCGEEM1LwmwjPPXUU1y9epWrV68SFxdHaGhovcfa29vz4osvsmrVKhITE9m1axd79uzBy8uLZ599lldeeQWNRkNeXh5OTk5G55aXl6NWq8nOzmfo0KF8+uk/GDhwIHZ2dgD8/ve/Z+fO/dy4kUlpaSkajYZ33nmlzoDYEgoLi+jRYwhZWTn4+fkxduwESktL2bdvL/Pn/wBAhw5tiYrqRVRUTyIje1JQUMgLL7xDfPwV3nzzTSwsLCgrK6OsrIzS0lLlz4WFpWRm5lNWVsaoUSP5y1/+0sJPe2fFxcUsWLCAvLy8OverVCpMTExQqVQ4OTnRrl07QkJClGq6UBMo09LSOHXqFOfPn1fCoUajITAwEA8PD0xNTcnJySE+Pp7Dhw/XGsJrmEv89ttvK3+XbqfX68nMzCQ3N5f8/Hzy8/NJTEysc8mdDh06YGFhwZw5c4yezdALe+twZbVaTWBgICkpKbUKPZmbm1NRUaGs4Xrr62IItmq1GhsbG+Vcw1xcQ7g1nNuuXTuioqIaXOdXr9cTHx/PxYsXycrKQqfTkZubq9wrLCyMzp07Kx8AGJb0GThwIOvWrVOOe+edd4yCsoeHB5GRkRw4cICff/6ZhIQEPDw8lHnB8fHxEmaFEEIIIe4DCbON4OTkRGRkJPv372fLli0EBgY2WKnUysqKGTNmcO7cOY4cOUJmZiYpKSmkpKQYHefh4UFoaCgdO3bEyckJa2tr8vLysLS0rLP3t2vXrpw8eY64uCvY2NiQmprG8eOnWb9+CRYW5s3+3E1lZWWJiYkJEyZMYOXKlUbPkJqayr59+9izZw+7d+9h7twlQE3Q8vPz5ejRo3Tp0qWFWl4/vV6vBOuKigqKi4vJz8+noqICMzMzrKyssLOzw9/f3+h5tVotP//8c71B1nBtw1DZjIwMMjIy2Ldv3397syMpLS0lISHBqBfW2toaKysrioqKSEhIICEhod7rt2nThl69etGuXTu2bduGpaVlrWNu3rzJ0aNHuXDhQp0VjTUaDfb29pSXl1NVVUVVVRVxcXF13u/24cR+fn7Y2dkRGxsL1B5yXFFRofzZ0ENcXV2thMY2bdpQUFBAYWGhEgwN+6qqqlCpVHTu3JnIyMgGl8+Cmtd37dq1tYYSG/Tp04chQ4bUuS88PJzAwEBKS0txc3Or89/mE088QUFBAbGxsZw7d45z584p+x7XwmRCCCGEEPebhNlGio6O5vz58+Tl5bF161bGjh3b4PEqlYrw8HDCwsLIz88nOTmZjIwMioqKKCgoUMJLRkYGu3fvpk2bNoSGhiqLCNfl5MmTRl8fP36c/v3788Ybv2X+/H89kEIz+fkFvPrqr4mJOYepqYlS/dbU1AQTExNKSkrZtGkTZWVlRs/h7e3NM888wzPPPANASkoK+/btIy0tjTfeeANbW9v73vbGMvSGnj9/nvPnz9c5BPV2Dg4OdOnShX79+lFVVcU333zDzZs3lf2Geaz+/v64urpiamrKjRs30Ol0lJSUkJCQoITJ0tJSduzYUed9SkpK6m2Pvb09vr6+dOjQgaCgICVE3brOrEF2djaHDh3i3LlzSkDUaDRYWVkpc2RLS0spLy+vFchvna9qYGdnR3FxMdXV1ZiamtK3b18uXLhAUlKScsztYddwLb1eb7TPysqKkJAQpW2330+j0dCtWzf69u2Lg4NDna/FrRITE/nhhx9q9VhrNBo8PDyIioqiffv2DV7D1ta2wb+jGo2G8ePH0717dxISErh58yZZWVm4urrSrVu3O7ZRCCGEEEI0nYTZRjIxMWHMmDEsXLiQs2fPEhgYSFhY2B3PMwwhvX1IcWlpKXFxcVy8eJHExETS09NJT09n165dtGnTho4dOxIWFtbgL9A9e/bkgw8+4A9/+AOff/4hjo4O9/qYDUpMTOLpp18mP7+Qt956Wwkhhh47w38ODg537I3y8fFh+vTp97W9dyMrK4u1a9eSnp5utL1mLq8FlpaWODo6YmlpSWVlJaWlpVy/fp2CggL27t1L+/btKSgoMAqyAL/97W8xMzNj//79XLx4kX79+mFhYUF+fj4WFhZ4eHiQn5/PkSNHGt1WS0tL2rdvT9u2bfH397/juqZFRUXEx8dz5swZo95eA51OV2fv7O0MwdLNzQ0/Pz+SkpKU6/n7+xMYGMj+/fvrDK8GZmZmVFdXG4VUtVpNr169yMnJ4ezZs8o2wzEqlYqIiAiio6Mb/eFHTk6OUZA1MzMjLCxMec1uLW7VHPz8/PDz82vWawohhBBCiLpJmG0CX19f+vXrx759+9iwYYOyvufdsLKyonv37nTv3p2SkhIuXbrEhQsXuH79uhJs9+7dyxNPPEFkZGS9va779++jR4+u9z3IHjsWwzPPvI6zswtHjx4lODj4vt7vQSosLOTQoUMcP35c2WZqakq7du3o3LkzAQEB9Yae1NRUvv/+e+Xro0ePKkHMoHv37nz55ZeUlZUp2wyFlBrL1dUVNzc3nJyccHFxwdXVFXd39wYLOGm1Wi5cuMDRo0fx8PDg66+/rlVFuDHUajV2dnbKhzJt2rQhMDCQ06dPc/DgQaqrqzE3N2fAgAEkJyeze/fueq9lYWGBTqerVbE4ODiYrl27smvXLqOeYEN727Zty7BhwxrVE2tw+fJlVq9erQTZXr160adPn8eyArYQQgghRGskYbaJ+vXrR3p6uvKLckZGBgMHDrynIb6GZUQMwTYuLo6zZ8+SmprKrl272LVrF6NGjVKWQjG4fv0627fv4KuvPmmOR6vXmjWbef3139CzZ0/WrFmDs/PDUXDqXiUmJnLs2DESEhKMQl5wcDCjR4826v2rqqrixo0bZGZmUlRUxNWrV2v13gKcOXOm1rb61i41BERbW1sqKiq4ceOGsj6qmZkZERER+Pv74+vri7n5nedEGwoaXbt2jVOnTinFjdRqdb1LQUFNj6eVlRX29vY4Ozvj7OyMi4sLjo6O2NvbY2VlZfT3rrCwkNWrV5OcnAzUFIQKCQlh9+7d9a4Na2lpiU6nUyoeG/j5+TFgwABSUlJYvXp1rbBtYWHB008/TUBAwB2fH2qKqCUlJXHhwgVlri7UVB0+c+YMx44dIzg4mDFjxmBjY9Ooaz7K8vPziY2NJTo6Wta7FUIIIUSrI2G2idRqNZMnT2b37t0cOnSIQ4cOUVxczOjRo5u0zEp9rK2tiYiIoHv37sydO1cJTBs2bKCgoIABAwYox86fPx+9Xs/Jk2dZs2YLgwf345VXZjbbL616vZ4vv5zDn//8D6ZNm8b333/fqFD1sMvOzmbHjh1GxZMMBYT8/PwYNmyYUvk2MTGRjIwMUlNTa825bCqVSkVISAhRUVFKtdvk5GSuX79Obm4uXl5eWFtbExwcjJ+fX71zp6GmxzIrK4u0tDRSU1NJS0sjJyenweVtunXrRlBQEE5OTlhYWGBqaoqpqSkajabRf2euXbvGqlWrKCsrw9zcnP79+3PlyhXWr19f5/HW1tZUVlYa9UpDzRzq/v37Y29vz/r162sVR4OakRDTpk1r8O+cTqfj6tWrJCYmkpSUVOcHDIBRyL5y5Qpz585l6tSpDYb8R51Op2Pu3LmUlZXh4eFB27ZtW7pJQgghhBDNSsLsXVCr1QwaNAhXV1fWrVvH2bNnqaioYPz48c02B0+lUjFjxgz+/ve/K9sOHDiAjY0NPXv2BP5XEGr//mP4+vrxu9/9hZSUG3z00W/vOVhXVVXx61//mUWLfuKDDz7go48+euR7dnQ6HQcOHGDfvn1AzWtsZ2enLPUSHR1NUVERP/74I8nJyUbVdu+Vp6cnL774IkVFRSQlJXH8+HGuXLlSq6cSICYmhpdffpn09HRKS0vR6/XcvHmTvLw88vLyKCwspLi4uME5qYZn69q1Kz169GDHjh0MGTLknv5+njp1ik2bNqHX63Fzc8PMzIxt27bVeay1tTUVFRW1ilUFBAQQHR2Nj48Phw4dYtmyZXUOfY6IiGDYsGH1/j0uKyvj6NGjxMTE1NsbfLtBgwYRHBzMypUryc3NZfHixbz44outZqTB7TQaDUFBQZw/f55r165JmBVCCCFEqyNh9h6Eh4djYWHBypUruXTpEkuXLmXq1Kl3LMTTWIcOHaq1bfv27UqYXbt2LVVVVcpwya+++oq33nqL3Nx8/v3vj+86uNy8WcQLL7zF/v1HWbBgAc8999xdP8PDorCwkB9++MGo8JEhJEJNz93y5cuNzrl1vdNbmZqa0rZtW7Kzs+sspHS7Nm3aYGVlxT//+c9a4c7S0pLg4GDatGnD9u3ble1z585t0vPd7q233lLml9ZVzbgp9Ho9O3fu5PDhw0DN89f13CqVCmtra4qLi2s9Z0hICP369cPLy4vLly/z73//26jY1K0ViwcNGkTfvn3r/PCkurqarVu3EhMT06iecgsLC+UDg7Zt2+Lq6sqLL77IDz/8QFpaGnv27GHixImNfzEeIRUVFVy7dg2omXMthBBCCNHaSJi9R+3atWPGjBlKb97ChQuZPn36Pc/Hy8/PrxVmDdVeDczNzY2GYP7iF7/AxcWFmTNnkp9fwIIF/8bSsmnBOiXlBlOmvExaWibbtm0zGtb8qEpLS2PRokVGoc7W1hZPT0/8/PxwdHRk3759ZGRk4OLiQmlpqdIjCuDu7k63bt3o2LGjMvTXELSKi4uJjY01CqK3u33oq7OzM66urrRp0wYXFxeqq6u5ceMG5ubmRr3BNjY2SgixsrJCq9WSm5tLTk6OcoxGoyEgIAALCwtu3LihFE+6efNmk4ol1aewsJClS5eSnZ2tbLs9HKvValQqFTqdrlYvaWhoKNHR0Xh4eJCVlcX3339Pamqqst/MzAxra2vy8/PRaDSMGTOGzp0719mW1NRUfvjhhzp7s28VHR1N165dKSgowMfHh/z8fPLz85XX0tLSkqFDhzJ//nyuXr2KXq9/5Ecd1CUhIYHS0lIcHR0fyjWchRBCCCHulYTZZuDn58dzzz3H0qVLyczM5OuvvyY8PJz+/fvfdS+tqampUc+gp6cnU6ZMueOSJFOnTsXR0ZEJEyYwfvzzLF/+Hfb2dsr+wsIiUlPT8fLyMNoOcObMeaZOfRULCysOHz5MaGjoXbX9YXLu3DnWrl2rvI6BgYEMGDAAT09PowBja2vL/v37uXz5MlAzTDY6OppOnTphbW1d67p6vZ7k5GROnTplNPf2dq6ursr82Js3b5Kenk5ubi65ublcunSpwbZ37twZU1NTpeDYrSEyKCiI8PBw2rZtq3ygkZCQwLJly4D/zQFuKp1Ox7Vr14iJiSEpKanWXNe63D5M2NTUlPDwcHr37o2zszM3b95kzZo1nDt3TjnGsA5zUlKSsjzR5MmT8ff3r3V9vV7Ptm3bOHbsmLLNz8+PJ598Emtra3Q6Hfn5+fz0009YW1vzxBNPoNFocHR0BGreg9t7Jt3d3YGaglEVFRXNNpriYWLolQ0KCkKj0bRwa4QQQgghmp+E2Wbi4eHBCy+8wA8//EBeXh7Hjh3j2LFj+Pj4MHz48CYXmrGxsSEsLIyzZ8/i5OTESy+91Ojeo6FDh7Jz505GjBjBkCFPExDgS0rKDdLS0rl5sxAABwc7/vCHd5kxYxIAO3bs46WX3qFTp06sX79B+WX/UbZ3715lfqxarWbcuHG1llK6efMmW7duNQqWXbt2ZfDgwVha/n/2/ju6qjPN88U/5xzlnIUyCiChiESQkEgCkYMBYxuMs8su21Xd09WzemZNT/rNrJnVc++dOzMVusrV5XIk2gRjksgSAiSQQAIhIQnlnHM8af/+0N2vdZAESiR7f9ZiIZ2z897n6P2+z/N8H+tR25QkibKyMtLT000ijBqNBmtrayRJQqfTodfrMRqNtLa2mkQ1YTga6ebmhrm5OQaDAbVajaurK4GBgbi5uZGamkp1dfWonrMuLi7Mnz+fmJgYHBxMJyIqKir49ttvAZg/f/6Yx/4wRqOR9vZ2YXBVVlYmHJCngqOjI4sXLyYuLg4rKyv6+vpITU0lOzvbRPAGBQWxcOFCTp48SX9/P46OjuzZs2fMVNjm5mYOHjxIR0cHMCyUX3vtNYKDg02Wk++ft7f3hITbyGWma+z1PFJTUyNaRP0UJqUUFBQUFBQUFMZCEbMziIuLC5988gklJSWcOXOGnp4eampq+POf/8xLL71ETEzMpNIZg4KCuHPnDu3t7fz2t7/l7/7u7ya87pIlS8jIyOA3v/k7LCysSU5Owd/fH39/f7y9vfnqq6/4h3/4//Hddz/wj//4n/jgg79n3br17N2795Euui8KFy5cEGnaVlZWfPjhhyJSB8NCLisri7S0NHQ6HSqViujoaJYuXYqbm9uo7RmNRh48eMCVK1eor68HhgXRvHnz0Gg0FBcXj2lEJAtDJycnIiIiCA0NxcfHZ0xjo46ODo4ePSpEskqlIjw8HH9/f3x8fEZFk2VaW1s5ePAger2euXPnsnnzZpP3ZaOowsJC2tvbhcBua2ubUt/Zh2uJAwICiI+PJzQ0FLVazcDAABcvXiQrK8vEpMrJyYktW7ag1Wo5cuQIer0eLy8vdu/ebZJxoNfruX//PtevX6exsVG87uvry5tvvomFhYXJ8dy9e5e0tDRg+DMzEdRqNTY2NvT391NaWkpMTMykr8PziiRJHD9+HKPRyLx58ybc1khBQUFBQUFB4UVDEbMzjCxwwsLCaGlp4cCBA3R2dnL8+HEePHjAyy+/PGGn4UuXLomffX19J30sERERnDt3fsz3li9fzgcffMBvfvMbAD755BP+6Z/+adyoliRJoibT0dERb29vzMyezeMjC6nxJgZu374thKy9vT2//vWvhQAyGAykp6dz69Yt+vv7AfDz82Pz5s1jpub29fWRmZlJXl6eMDVSq9U4OTmh0WgoLCwUgtDFxYXY2FgCAgKwt7cX19Lc3BxLS8txj1eSJPLy8khNTUWr1WJmZoZer8fS0pJt27Y98jrrdDq+++47tFotAQEB7Ny5k46ODtGyp76+nubm5v8v4v7DI8Wrubk5er3+sZFZSZKwtbUlMjKS+fPni6yDoaEhbty4QWZmpkldq0ajYfXq1cTHx5OTk8OZM2eAYVOonTt3inszODhIZmYmmZmZJinVGo2GlJQUEhISRh2LwWAgNTUVgAULFpjUlD+OhIQELl26xJUrV4iKipqR1lrPA+Xl5bS1tWFpaclLL730rA9HQUFBQUFBQeGJoYjZJ4RKpcLDw4Nf//rXXLp0iczMTAoLC4mKiiIsLGzC24BhkbRt27YZP8aEhAQuX77M2bNn+e///b+PK2RLS0u5dOmSiZGRk5MTH3zwwVOP4lZVVfHll19iY2PDxx9/PMpoq6Ojg9OnTwPDovODDz4QYqm9vZ3f//73Yllra2tSUlKIjY0dJTS1Wi1Xr14lKytLCCszMzOMRqNIz5Xx8/MjISGBsLCwSQui/v5+Tp48yf3794Hh3qqxsbEcP36cwcFBzp07x8aNG8dd//jx4zQ3N2Nubo7RaOT//X//31EtheRjcnZ2RqvV0tfXN6aofZTrsZmZGZ6engQGBhISEoKfn5/Yrlar5ebNm1y/fn1UjW1wcDCbN2/G0dGR8+fPi9TpuLg4Nm3ahFqtRpIkbt++TWpqqkkkV61WExUVxZo1a8asW4bh+z0wMIBGo2Hjxo2TynyIj48nKyuL9vZ2iouLmTdv3oTXfZ7Jzs4Ght3Wfwp9oRUUFBQUFBQUxkMRs08YjUbDmjVrkCSJzMxMjh49SlJSEsuWLXus8Fm6dCknT56kvb2d/Px8YmNjn8jxjYfcBkUeHJubm+Pl5UV1dTWdnZ0UFxc/kWMaC71ez7fffivMlvr7+0ddP0mSOHPmjKiBjI2NFemrRUVFfP/998DwJMGWLVuIjIwc1b7IaDRy7949Lly4IFrHuLu7MzQ0RHf3cL2xp6cnkZGReHh44O7ubpK+PBkqKio4duwYPT09qNVqkpOTSUxMRK1W093dzeXLlykoKBBi1mAwUFdXR01NDXV1dVRUVIgIqE6no6amBhgWgfb29qjVaoaGhoS47ejomHBasbm5OUFBQYSFheHt7Y2bm9uo663T6cjJyeHq1asiyi1jbW3Nhg0biIyMxGAwcOTIEQoKCgBYtWoVS5cuRaVS0dnZyf79+03qiq2srEhISGDhwoXjilgZOQIu9xBeunTphM2OLCwsiImJITMzk5KSkp+EmK2qqqK4uBgY7tWroKCgoKCgoPBTRhGzT4mlS5dSV1dHdXU1aWlp9Pb2smnTpkeus2DBAtrb27l+/TonTpzA2tp6wlHd6TI4OMjhw4cpKysDhqNYy5Ytw9bWluPHj5OXl2fSJ/RJIEkSV65cEfWQI3n11VdHRYWLi4t58ODBqJrOq1evcvHiRWA4XXvjxo14eXmJ9/V6PcXFxZSUlPDgwQMRXbS1tcXR0ZGGhgaRWrthwwbCw8On3crl1q1bnDp1CkmScHV15eWXXxbH1NTUxOXLl4Fh0X7ixAmamppoamoyiVzKqFQqcc6SJGE0GkX/XGBS0WI7OzvWrl1LZGTkuOeo1+u5desWV69eFXXCarVaCOXo6GjWrVuHjY0NAwMDHDx4kOrqatRqNS+99BLR0dFIkkRaWhpXrlwR98ra2po1a9YQHR09YUFqaWnJypUruXjxImlpaWRnZxMeHk5sbKzJPR4PV1dXgFFi/EXl2LFjwHDkW+ktq6CgoKCgoPBTRxGzTwkbGxveeecd8vLy+OGHH8jJycHT05MFCxY8UhilpKTQ399PXl4ehw8f5he/+MWknZEni16vZ//+/dTU1GBubs727dtNolayKc/jombT5Xe/+x2dnZ2jXv/kk09GDdR1Op2onbSwsGBoaAg3NzfKy8uFkF28eDFr164VQkmn05GXl0dGRoaJMLewsEClUtHX1yfqZOfNm8emTZumfc6SJJGeni5clqOjo9m8ebNJhFiOrMncvn37sdscq871YVHv6+uLr68v9vb2ZGZmikgzDEdi16xZQ1xc3LhCUq/Xk5uba3K9zM3N0el0GI1GnJyc2Lx5s3Aabm5u5tChQ7S3t2Npaclrr72Gn58fubm5XLx40aQGedmyZSxbtmxKLWSWLl2KtbU1ly9fpq+vj+zsbLKzs5k3bx5r1qx5ZORcFvpTMcJ6npDvx+DgIH5+fqxfv/4ZH5GCgoKCgoKCwpNHEbNPEZVKRWxsLE1NTdy4cYNTp07R3t7O2rVrH7nOli1b6O3tpbS0lIsXL7Jnz54nepznzp2jpqYGS0tL3n77bZMIV0tLC42NjajV6iealilJ0phCFmDv3r3CuErmypUrdHV14eDgIESa7KoLw1HuDRs2IEkSxcXFFBYWUlxcLFJwHRwcCA4OprOzk4qKCmB4AiImJobY2NgZiXJptVpOnDjBvXv3gGETrpUrV4rJjLa2NvLy8kRLFRmNRoNGoxHtfh7G0dERLy8vfH198fDwoLi4mFu3biFJEmZmZiQlJdHV1cUbb7xBRkYGZ8+eNVl/0aJFrF27dlyjKVnEXrt2TUR8ra2t0ev1wgk6ISGBlStXivrkgoICjh8/jk6nw9HRkaSkJHJzc9m3b59JK5xZs2axZ8+eUbXPk2XBggXMnz+fiooK7ty5Q0FBAffv36ekpIT4+HgSExPHnIiQo/AvuoN3WloaGo0GFxcXdu3aNSp9XkFBQUFBQUHhp4giZp8Ba9euxdbWVhhDzZo1i+jo6HGXV6vVbNiwgT/84Q+UlpZSXV2Nv7//jB9Xf38/xcXF5OTkALBz504hZFtbW+ns7BR1jyEhIU9UAKhUKn75y1/y5ZdfjjI0srKyMvm9tbWV69evA7Bs2TJOnToFDIvD+vp6NBoNycnJ9PX1cejQIVFbCsNC0M/Pj87OTnJzc8W+ExISSE5OnhFRYDAYuHv3Lunp6XR1daFWq9m4cSMLFiygr6+PgoIC8vPzTfrWWlhYYGdnR1dXFwaDQQhAOdqqUqlYvXo1cXFxor9tXl4e33//vUiZnTdvnnjWTp8+ze9+9zuT9kFeXl7s2bNn3GizVqvl1q1bXL9+Xaxna2uLlZUVbW1twHD98NatW/H29hbrXLhwQdRZOzs7o9PphCmXjLW1NZs3b57RHqgajYaQkBBCQkJYtmwZqampVFRUcP36dbKysvD398fd3R07Ozusra2JiIh4rDP2i8DAwABFRUVERESwZcuWF16YKygoKCgoKChMFEXMPgPktMr29nby8vI4duwY7e3trFy5ctx15LYvt2/f5vLly7z99tszciyySNq7dy/V1dXidVkUZGRkmLQIklm6dOmM7P9RzJo1i1dffZVvvvnG5PWH+2ZeunQJo9GIo6OjELJWVlYimhoYGIhKpeKrr76iubkZCwsL4uLiCAgI4Pr16yJSqlKpCAoKIjk5GR8fn2kf/+DgILdu3eLGjRsiDdTBwYHt27ej1WrZv38/paWlJqnA7u7uDAwM0NvbKxyTHR0dmTNnDhYWFkK0b9u2TUyA1NXVcebMGerq6gBwc3Njw4YNBAUFYTAY+O6777C2thYi19zcnD179hAQEDDmcbe1tXHr1i3y8vJE5NLBwQE3NzcqKyvp6+tDo9GwcuVKlixZIlKDa2trxbMs09HRYbJt+dlfunTpE23t5OHhwZtvvsmDBw9IT0+nvr6eyspKKisrxTIXL17E2toa4IWOZObl5YnP8ZMuQVBQUFBQUFBQeJ5QxOwzZPPmzdjY2HD9+nXS09OZN28enp6e4y6/YsUKcnNzqayspL29HRcXl2ntX5IkfvjhBywtLUVU0MPDg7lz57Js2TKAMYXs/Pnz8fPzm9a+J0pQUBAff/wxf/rTn8Rrtra2dHV14ejoSEtLi2hrM9L06OOPPxY1tG5ubnz++ee0tbVhZ2fH22+/jdFoFD2ALS0tWbZsGdHR0cL9uKenRxhCtba2otfrmTVrFqGhoXh4eNDV1UV7ezs9PT0MDAxgYWGBl5cXQUFBmJubk5WVRU5Ojogq29nZERYWhqWlJSdOnDARfF5eXri5uVFdXS1cfa2srIiJiSE6OhovLy8GBwf5wx/+AEBSUhLR0dH09fVx8eJFEVG2sLBgxYoVxMfHo9FouHfvHsePH8doNArhGxERwcsvvzwqEjkwMEBJSQl5eXkmgs/Z2Zng4GCKi4spLy8Hhic61q9fL8yTDAYDaWlpXLt2bdwetRqNhpiYGJKSkqb93E4UlUrF3LlzmTt3Lm1tbVRVVdHW1sbAwAB1dXU0NzeL+xMaGvpUjmmmMRqN3LhxQ/z+rCPMkiTR2tpKZWUlDQ0NtLS00N/fz+DgIJaWlgQHB7NixYppp5UrKCgoKCgoKIAiZp8pctuerq4uCgoKOHnyJG+//fa4ESsHBwdcXV1Fyu90RUF9fT3FxcVER0eTnJxMdHQ0Dg4O4v2xhMmcOXPYsGHDtPY7GXQ6nYmQhWGBfenSJaytrcc090lISMDBwUFEKu/evUt/fz/29va8+eabom+uTqfD2dmZ119/HbVaTX5+PnV1dXR2dlJfXz9qu11dXaPMmcZipPGSjY0NFhYWdHV1ifRtGHbhlWtxs7Ozyc/PB4ZFb1JSEnFxcaL+FCAjI4P+/n7c3d1ZsWIFN27c4PLly0KMxcTEsHr1auzt7enq6uLIkSMmrXoA3nrrLZNobFdXFyUlJRQVFVFZWSnqcVUqFSEhIcydO5f79++L43Z0dGT9+vWEhoaiUqnQ6XTcvXtXGC+NhYeHB3FxcURFRT3T9FdXV1chvuHHFkw1NTXMmzePoKCgZ3Zs0+HmzZt0dXU9c3E4ODhIbm4ut27dEinoD9Pf309OTg6lpaW8++67Jt81CgoKCgoKCgpTQRGzzwEpKSmUlZVRW1tLRkYGycnJ4y7r5OREa2sr9fX10x6Aj6xFjY+PH5VqOTJCB5CYmMjq1asn1eplOkiSJKKRMhqNBmdnZ1pbWxkYGBBpsCNZu3YtPT09wgiqv78fR0dHPvzwQ65fv861a9cACAgIICYmhoMHD445AHdwcMDc3JzOzk6RxqlWq1GpVDg6OuLi4kJfXx9dXV0mrV1GTgL09/eL92xtbQkMDCQoKAhnZ2euXLlCVlYWMCxuk5KSiI+PNxGxMBwllmtQIyMj+ctf/iIiuLNmzWLjxo34+fnR19dHamoqN2/eNDkG+Tlxc3PjwYMHlJaWUlZWNuqcPTw8mDdvHhEREdy9e5fU1FQMBgMajYbExEQWLFhAQ0MD58+fp7q6mvr6+jEnPMzNzYmKiiIuLg5vb+9nHi0cC7VaTXR09CNr1Z935F7EMGwmNtYEzJNGkiRu377NpUuXxHOu0WgICAjAx8cHT09P7O3tsbS0pLOzk7Nnz9LR0cH333/Pm2+++Vw+GwoKCgoKCgovDoqYfQ5wcnJi3bp1HD9+nOLi4keK2dDQUEpLSykuLp523aqHh4f42WAwjBKzjo6OzJo1i46ODt58880ZqSOdKJIkce7cOZP2MYsWLWLp0qWYm5vzxz/+0cTMSGbr1q2oVCoTMyWA2NhY9Ho9mZmZwPC5V1VVUVVVZbKcmZmZ6OU6ct9ytFWOXra3t5ukCsOwWHR3d6etrY3m5mYA/P39mT9/PrNnz8bJyYmGhgbS09MpKSkBhgf+ixYtYtmyZeNGLjMyMtDr9VhZWQnxYm1tzapVq4iLi2NgYIBLly5x48YNtFqtyborVqxAo9HQ3t7Ob3/7W3Q6nck5+fr6EhoaSlhYGC4uLhQWFrJv3z6Rsh0YGEhAQACVlZVkZGSMeXwyPj4+LFiwgIiIiFGCXGHmSU9PR6vV4uvrS0xMzFMXszqdjuPHjwtTOFdXV5YsWUJkZCSWlpajlvf09MTd3Z0//elPVFRUcPfuXWJiYp7qMSsoKCgoKCj8tFDE7HOCnAI5MDAg3GrHQo6y1dfXi6jZVBm5j76+vlEuwS4uLvzyl7+c8vaniiRJnD9/XkQt58+fT3JyMg4ODnR0dHDo0KExhSwMi9aOjg6+/fZbk9fd3Ny4efOmEKOy2IThqOjSpUuFM3B1dTUZGRlotVpCQ0MJCQnBw8MDrVZLU1OTcHzWarXMmzeP6OhoAgIChJmQ0WikpqYGW1tb3NzcgB9Nmh48eAAMX/vo6GhWrlyJk5PTuNeiublZpPkODg6iVqtZtGgRK1asYGBggDNnzpCXlycEuIyZmRkWFhakp6eLKKTBYMDR0ZHg4GCCg4MJCgoS97ympobvv/9eTALY2tri6upKVVWVaFUEYG9vT29vr0lEdqThlMLTQZIkYVy2evXqpx7h1Ov1HDp0iLKyMtRqNatXrxa12o/CxcWF5cuXc+nSJc6dO0doaOio7x0FBQUFBQUFhYmiiNnnBDlK2t3dTXt7u0l930gcHR1RqVQYjUbRjmOq2NjYiBY/Z86cYceOHc+8rYckSZw9e1aY2mzYsIHFixcDUFZWxt69e8dd9x//8R/p6Ojgr3/9q8nrcgTy+PHj4jVzc3N0Oh2enp68/fbbQojCcPrxWE6/lpaW+Pv74+/vz/Lly9Hr9WO2tVGr1WL9vr4+Tp06JUyqZBG7bNmyce8xDAvivLw8zpw5I4RjSEgI69atY2hoiBMnTohtjoVer0ev12Nubs7s2bMB+OCDD/D09DQRPm1tbVy8eFFsS6PRYG5uTl9fn6iD9fDwICgoiJaWFsrKykyu4cqVKyckYhRmlq6uLrRaLWq1Gn9/f5PevU+D06dPU1ZWhrm5Oa+//rp4xiZCYmIid+7coa2tjZycnKfijK6goKCgoKDw00QRs88Jt27dEj8/KkVTo9GwcOFCsrOzuXz58rTErEqlYsWKFdy5c4eKigp+//vfs2jRItzd3QkPD38mAiUjI0MI2U2bNrFw4ULx3kjX1odZuXIlWq2WgwcP0tfXh5ubG93d3Wi1WpYuXUp/f79IsbWysmJwcBAnJyfeeOMNEyE7USwtLcdMpRxJSUkJP/zwA319fRMWsQBVVVWkpqbS2NgoXktJScHNzY0TJ06YtFDSaDSjhIynp6eIvvr7+yNJEqdPn8bV1VUI2fb2dq5cucLdu3dNoqxyT1uNRiMmNlpaWkwi2QDh4eGsW7dOMfF5Rsj1zi4uLqjV6qcqZu/cuSMctF977bVJCVkYfmbj4+M5ffo0FRUViphVUFBQUFBQmDKKmH0O0Gq1nD9/HhiuC5Xbw4xHYmIi2dnZtLW10dPT89jlH4WPjw937tzBw8ODxsZGURfZ2tr6yNrdsTAajbS1tdHR0UFDQwNDQ0OEhIRMOP20pqaGtLQ0ADZu3GgiZAETl+dXX33VJJU4LS1NrGtnZ8eqVav49ttv0Wg0zJ8/3yQqOzg4iI2NDW+88cYTcYGVJImLFy8Koyl3d3d27Njx2B6gnZ2dnD9/nsLCQuDHOl03NzeTXrUjGSliRjoaj0QW8ZIkUVZWRnp6unA6fhh5nwaDYcz9BQQEkJycPG6PWoWng1zT/KgU9SdBd3e36OW8cuVKgoODp7Qd+bjHc8FWUFBQUFBQUJgIiph9DjA3N8fW1pa+vr4Juas6Ojri7u4u0j7nz58/7WN45513+OKLL2hqagIQtZ4Tpa2tjQMHDoxyyM3MzGT79u0TOq/MzEwkSSIqKopFixaNen/Dhg3Mnz+fkJAQjh07Bgyn9Mp1sPLvO3fuFO6/c+bMYf/+/SbHZW5uzp49ex4bIZ0KWq2Wo0ePihY+ixcvZs2aNeO2W4JhsZmRkcH169eFOHVzc6O1tRVA/D8SV1dXE5flV155hfDwcJNljEYjjY2NlJaWAvD//D//z6jaWhiOMsvO1pIkYW9vT0hICK6uruTk5IhevK+//rpIS38ckiTR0tJCTU0Nra2ttLW1iei4SqXCzs4OLy8vQkND8fX1ndA2FX5EFrOOjo5Pdb9nz55Fp9Ph5+cnelFPhY6ODoBpTcQpKCgoKCgoKChi9jlApVLh5uZGX18f58+fZ+nSpXh6eo6bwqlSqYT4kMXndOnt7RXtXpYtW0ZUVNSk1j906NAoIevo6EhXVxeZmZmPFbPt7e3C4XfJkiVjLmNvb4+9vT0tLS3C/GakkAVYs2YNVlZWwmG1traW3t5eMVkAw1Ffb2/vSZ3fROjs7OTgwYM0NTWh0WjYunXrY8+7vLyckydPisG9ra0tAwMDowSspaUlc+bMYc6cObi7u7N//34hZLdt2yaErFarpaSkhPv371NeXi5Mo6Kjo8W1srKyIiQkBJVKxf3798WzFBISwpIlSwgMDKSlpYW9e/eKyP8bb7xh4n49FkajkbKyMu7du8eDBw/GbJsk09TURFlZGVevXiUgIIAFCxYQGhqquCBPEPmzOt1e05OhrKyMwsJCVCoVmzZtmlaLLtlUbKKTIwoKCgoKCgoKY6GI2eeEoKAgqqqqqK6uZv/+/cBwyvHGjRvHXH727NncvXuXwcHBGdl/R0cHRqMRBweHSacXt7S0iMH1SGQx+zi3Uq1Wy4EDBzAYDPj6+j42HffChQtjvu7m5kZ8fDwHDhwQv7e2tuLk5ERISIhwBa6ursbf339GhUBraytffvklfX192NrasmvXrkdGHAcGBjh37hx5eXnAj+m9I9Mu5TrbxMRE3N3dxSTGX//6V+HmnJCQQHh4OPfu3aOgoIDS0tIxo68wnCK8atUq7OzsOHz4MHV1dcDws7Ru3Tpx3SsrKzl48CBDQ0O4ubnxxhtvPDICqNfrycvLIzMz06Rdkbm5OT4+PsyaNQtXV1fs7e0xNzfHaDTS1dVFVVUVBQUFokWSubk5YWFhJCQkPJHJhp8KkiSJNPGn1S7LaDSSmpoKDGcbeHp6TmtbsphVHLAVFBQUFBQUpoMiZp8TkpKSqKmpESmhANnZ2YSFhY0a8EmSJFq8zJT7sBwR6+7u5tKlSyxZsmTC2z569OiYr8tGRbGxsY9c/8aNG7S2tmJvb8+rr746bpsRSZLIyckREVzZyAmG62k/+eQTWlpaxLWRo5tz587l5s2bYju5ubnk5eURGxtLSkrKlAygRtLd3c0333xDX18fnp6e7N69+5Hir6ioiOPHj5tMRIw0YYLh+/HJJ5+YbMdgMPDdd9+JiQMnJyf6+vr4n//zf5r0l7WwsBC/y1FZgN27d1NeXs6+ffsYHBzEysqKDRs2EBUVJa55QUEBx44dw2Aw4Ofnx+7dux95fUpKSkhNTRWRZSsrK6Kjo4mIiMDHx+eRJmILFiwgJSWFW7dukZ+fT0dHB/n5+eTn55u4WCuY0t3dTW9vL2q1+qmJ/sLCQlpbW7GysmLlypXT2lZ9fT1DQ0NYWVnh5eU1MweooKCgoKCg8LNEEbPPCRqNhj179jA4OEhnZyd//vOfgWFB9rCYHRoaEimck3USHQ83Nzfs7Ozo7e3l6tWrZGdnExAQgFqtfqTA7O7uNnHdfRhXV9dHOi4PDg5y/fp1YNixd7wausHBQY4dOyaErJmZGR9//DFWVlZ0dXXh7u6O0Wjk9OnTJuv5+PgIIRsfH094eDgZGRmUlpZy+/Zt7t+/T1xcHMHBwfj6+mJubj7+RRoDo9HIsWPH6O7uxs3NjbfeemvcSYC+vj6+/fZbEzfikcjXH4ZdYh8WxOfPnzdpjdPZ2UlnZycwLGy9vLwoLy8XacOxsbEsX74cW1tbTp8+zfnz50UtsY+PDzt37jQxELpx44aIvoWFhbFjx45xr0dHRwepqaniftjZ2bF06VJiY2MnlSosZwKsXLmS+vp6rl+/TmFhIWfOnKGvr48VK1ZMK531p4gcUff09Jz08zoVJEniypUrwHAmwHT7whYVFQHDUVnl3iooKCgoKChMB0XMPmdYWVkxa9YsQkJCKC0tpbCwkDlz5uDs7CyWkdNlYeYMVMzNzfn1r39NaWkpGRkZNDU1CaFy7NgxduzYMeZ6IyOeD+Po6Mhrr732yOhcYWEhg4ODuLm5ERkZOeYyer2egwcPUlVVJV577bXXRE2xu7s7AOnp6WIZKysr1q9fj16vp66uDi8vL9atW4dKpWLPnj1UV1dz8uRJWlpauHbtGteuXUOtVuPn58fKlSsnPElw8+ZNKisrMTc3Z9euXWMK2b6+PtLT08nJyRkVgQVwdnbGz8+Pu3fvApCcnCwmMPr7+6msrCQ7O5vKykqT9WxsbIiIiCAiIoKSkhIxKTBr1iw2bdok0pzlyQa5/VNCQgIpKSnivuh0Os6ePSveX7hwIRs2bBhTaOj1eq5fv05GRgZ6vR61Wk1CQgLLly9/bKuiR6FSqYTAvnLlCmlpaVy5coX79++zfPlyIiIixp1Q+bkhp3I/roZ5pigvL6elpQVLS0vi4+OntS1JkkS9+8OGZQoKCgoKCgoKk0URs88pK1eupLS0lKqqKn7/+98THx/PqlWrMDc3JyYmhosXLwLDrqaPqzGdKJaWlkRERBAeHk5xcTGHDh0ChlNJdTrdqCjQ0NCQaD8zFn/zN3/z2F61cirwo6I0V69epaqqSjgXe3t7o9VqaWxsRK1WU11dTXt7O5mZmWKdwcFBWltbRZTS3t7eRAz5+/vz0Ucfcf/+fYqLi6msrKSnp4eqqir27t3Lxx9//Fi3Y61WKyJWa9asGbX80NAQGRkZ3Lx5U7THGYmVlRVJSUl0dHRw+/ZtAObPn4+dnZ3oJzuWk7GZmRnbt28nLCwMo9HI999/LwyvRronS5JEXl4eZ8+eZd68edjY2LB161bmzJkDDKct37t3j/T0dJEmvGrVKpYuXTpKOA4NDXHr1i0yMzNF9Hj27Nls3LhRTCbMBHLvYwcHB86fP09LSwtHjhyhrKyMzZs3P5Pex88bclbGdCOkE0We5IiJiZn2PisqKujq6sLCwoK5c+fOxOEpKCgoKCgo/IxRxOxzio+PD2+99RZXr16lvLycrKws8vPzmT9/vhAewLSMWMZDpVIRFhbGnDlzePDgAUNDQ2RnZ5OYmGiynJziOhYbN26ckPCQU27Hq50bHBwUgll2462vr+e777577LavXr0qfh6rH6ZarRaRTUmS6Ozs5LvvvqOhoYEHDx48Vszev3+fgYEBnJ2dWbBggcl7ZWVlnDhxQrRQGemmrNFoiIyMRK1Wc/XqVSG4AfLy8oQplIxcAyubRG3YsIHw8HAMBgOHDh2itLQUtVrNtm3bhAt1V1cXqampFBUViUmC9957D2dnZ/r7+8nOziYnJ0cIU3t7e7Zt2zYqpV2v15OVlcW1a9dEja+DgwMpKSlERkY+sWhpbGwsYWFhZGVlkZGRQV5eHubm5uMaov2ckNO4x5ogmWn6+vpEm6m4uLhpb0/+TMbExDyVFGkFBQUFBQWFnzaKmH2OCQwMJDAwkJKSEk6fPk1XV5dJJNTS0tKk5nGm2bJlC//rf/0vYNhB2M3NTURTJEkiKytLLBsVFcW9e/eQJIkFCxawcOHCx26/pKSE+vp6gHEdeAsKCka9Z2tri5OTE01NTSJtV25TA/Dyyy/T0NAg0m6Bx0YPVSoVzs7O+Pj40NDQ8Mi2MjJyumR0dLQQjHJ9YVpamjhWo9EohKyFhQU6nY47d+6MuU0bGxvc3d3x8fHB39+fwcFBvv/+eyFk3dzcmD9/PpIk8f3331NaWoq5uTmvvfYawcHBGAwGMjMzuXLliujpumLFCjo6OrCzsyM/P58zZ86I87Ozs2Px4sXEx8eb1Lp2dnZy7949cnJyhCB3dXUlKSmJ6OjopxIhtba2Jjk5GU9PT7777juys7NFe6KfM3Iqe39//xPfV1FREUajES8vr2lPnFVVVVFRUYFKpRo1MaagoKCgoKCgMBUUMfsCMHfuXIKDgykpKSErK0tEM4eGhjhw4AA7duyYVr3ieNja2uLi4kJ7ezuSJHHmzBlCQkIAOHPmDHl5eahUKlatWkVmZiaSJDFnzhw2btz42Iid3JNVFqNXr14dUwDn5uYCwzW9Op0Oe3t7/v7v/x4YjtAeOnSI7u5uYNgEaefOnfj4+BAQEGAiZkfWHD8KOa3Xzs7ukcv19/dTXl4OwLx58+jt7RV9gmWTJrVabdJqBzBxHVar1cyaNYuIiAi8vLzw8PDA1tbWZNk//OEPJuuvXr0atVpNRkYG9+7dEwZdwcHBVFRUcPr0aXEO/v7+pKSk4Orqyvnz57l586Zoa+Th4cHSpUsJDw8XwrStrY28vDxKSkpobm4W+7S3t2f16tVERUU9E8Oe8PBwEhISyMrKIj09XfTI/bkii9mJTLhMF9msad68edPajtFo5MyZM8BwhPdJTsIpKCgoKCgo/HxQxOwLgkajYd68eYSFhXH16lUuXboEDEc3P/30U1577bUZq52VUavVJCYmcvLkSVQqlRCgXV1dQuyEhoaKFFQvLy927tw5IcFTVVVlYob0sOiTl5GdW+UUYzn6+OWXX1JbWyuWDQ0NZdeuXeJ3e3t7fH19qa2tRaPRTGjw3NLSIkyWnJ2dqayspK+vj/7+fvr6+kx+bm1tFcf06aefjrk9+f2R2NjYEBwczPz585k9e/Yjr1VmZiY9PT0izdjPz4/Q0FBqa2u5fPkyAJs2bcLT05MjR46ISLGVlRUuLi40Njby+eefi/Y88jOTmJjIqlWrhIjVarVcvHiRnJwcccwqlQp/f39iYmKIjIx85imhSUlJ5OTkUFdXR0VFxc+6P+mTjsxKkoROp0On04kJGy8vLyorK+nq6mJwcBBnZ2cCAwMn/FxcuXKFpqYmrK2tWbVq1RM5bgUFBQUFBYWfH4qYfcFQqVQsW7aMwMBAfvjhB1paWkQrn7i4ONatWzep1iiPY/bs2SLFFRA9XC0sLHB1dRWRGx8fH3bt2jXhfefn55v8/nDNrNyKR8ZgMKBWq1m+fDmff/65SE/WaDQEBQUJt+XW1lbKysqoqakBhh2V7e3tOXjwINbW1lhZWWFhYYFarR4lUtva2sT+9u3bN+FrNB4ajYaAgACCgoLw8fHBw8Njwr17e3t7RUq5XBu5atUqdDodx44dQ5IkIiIiGBoa4g9/+IOoqXVycqKjo0Ncn4dZsGABa9asEb/39fXxzTff0NTUBEBISAhRUVHMmTNn2v13ZxI7Ozvi4uK4efMmaWlpBAYG/myjs/J9eRJiNiMjg4yMjFH1uGN9HiwtLVm4cCEJCQmPzGR48OAB6enpAKxfv37GemMrKCgoKCgoKChi9gXF19eXjz/+mLNnz3Ljxg0Abt++TUNDA7t27RJta6aLq6srK1asEDWgrq6uLFq0CFdXVzHA9fDw4N133zWpo+zp6SE/Px+9Xs/g4CD+/v6EhoYKAdLQ0GCyn8WLF4ufJUni1KlTdHV1mRgn2dnZsX//fpFGGxUVxfbt21GpVLS1tXHq1CkqKipGnYNc8zkZrKyssLW1Ff9sbGywtbXF0tKSmzdv0tXVhaOjI4ODgyYGTjIJCQmsXr0aM7OpfcQuX76MTqcTvWf9/f0JCAjg2LFjtLe3Y2lpSXV1tXAxtra2ZnBwkI6ODlQqFdHR0SxatAhPT08GBga4dOkSmzZtIiYmRuzDaDRy6NAhmpqasLW1Zfv27WMaZT0vJCUlkZubS01NDfn5+URHRz/rQ3omyGJ2cHAQSZJmRNQ3NDRw6dIlSktLx3zfzMwMBwcHHB0dsbKyor6+XtTw37hxg/nz55OUlDQqA6KpqYkjR44AwxMpP9d7pqCgoKCgoPBkUMTsC4xKpWL9+vX09fVx7949VCoVDQ0N/OEPfyA+Pp7ExMQZia4tX74cGxsbzp49S1tbG6mpqdjb24s6Vr1ebyJkGxsb+eabb0wiR3LbnLfffpvZs2cLZ1yZuro6IiMjkSSJ48ePi/MZmaor18bK57527VoMBgP5+fn88MMP4vWgoCACAgJwdXXFwsKCoaEhBgYGGBgYYHBwEJ1Oh8FgEALV1taW27dvU1lZSUhICLt27RrX4Oj48eN0dXWhUqnGFMk2Njbs2LFjWqKwra1N1ArLdZGJiYkcOnRIOMsODQ2ZiGh5ueDgYNasWWNi1iO3U4mKijI5L1kYWlpa8s477+Dm5jblY34aODg4sGzZMi5dusT58+cJDQ19IrXizzvy/TQYDOj1+hlJAS8sLBRCdsmSJaxcuZLPP/+cpqYm5s+fT3h4OLNnzxb7kiSJ4uJirl69Sl1dHTk5Ody6dYuoqCiSkpLw8PCgs7OTvXv3MjQ0hL+/P+vXr5/2cSooKCgoKCgojGRSbi5/+tOfiI6OxsHBAQcHB5YsWSJMPWTu37/P1q1bRXpnQkKCMCwCKC4uJikpCV9fX/7rf/2vJuvm5uayefNmPDw8sLKyYvbs2bz22mtj9tpU+JHVq1dja2srUoF1Oh1Xr17lt7/9rUgDng4qlYpFixbx1ltvCXHc09MjUhHb29vFsvn5+Xz55Zf09/djYWExShTu27ePtrY2IVLl9ET5GcnNzeXOnTuiznNgYGBMYSlJEkajkc8//1wIWYC//du/5Y033mDZsmWEh4cTEhJCREQECxcuZNmyZaxZs4aNGzeyZcsWVq9eTUJCAj4+PlRVVYlrOZ6QzcnJEW1zJEkaJaR8fX355S9/Oe3o5tWrV5EkCVdXVwwGAy4uLhw7dkwIWRk7Ozvmzp3LokWLWLVqFe+88w5vvPHGhFxnBwcHRQ3typUrn3shK7NkyRJcXFzo7e0VdcPPO4ODg/T395vUiE8HCwsLEY2dCRMorVYresnKbZcMBoNIPc/Ly2P//v389re/5caNGxiNRtG+6/333+ett94iKCgISZK4e/cuf/rTn9i3bx9ffvklvb29eHh4sGvXrilnKSgoKCgoKCg8fV4U3Tep0YWvry//43/8D+Fo+9VXX/HSSy+Rm5tLREQEZWVlLF26lPfff5//8l/+C46Ojty/f19EEgB+9atf8eabb7Jo0SI++ugjVq9eTVJSEs3NzaSkpLBlyxbOnj2Lk5MTFRUV/PDDD0+lBcWLjJOTEx999BHHjh0Thi2Ojo50dXVx6NAhVq5cKVqvTMeN1t/fn9/85jekpqZy+/Ztk/cMBgMXL14UEVgwde6V0ev1IsXYzc1N9Dnt6+tDkiRRW+fu7i7a14xsuzPyWPLy8mhoaBD1u4sWLZqSS+r169eRJImQkJBxTbTKy8s5deqU+D0oKEhca4BFixaxbt26abes6e7u5u7du8CPNZEjJwsAXFxc2Lp1KwEBAVPax9DQEMePH6e/vx83NzcWLVo0rWN+mpiZmbFx40b27t1LdnY2y5YtM3GAfl6or6/n1q1blJSUiGfcxsaGuXPnMn/+fBwcHLC3t5+SwFOpVFhaWjI4ODjmZ2wySJLEDz/8IERxQkICarVaiFsY/t7v6uqip6eH1NRU7t27x/bt23FxcUGlUokWYvX19Vy9epX79++LKK+5uTnbtm17ruqvFRQUFBQUFB7Pi6L7JjWS2rJli8nv//2//3f+9Kc/kZWVRUREBP/+3/97Nm7cyP/9f//fYpmHXUc7OzuJjY0lOjoab29vkap5/fp1uru7+eyzz8QALzAwUHG+nCB2dna88cYbpKamcvPmTQYGBoiLi+P27dukpaWRlpaGWq3G39+f+Ph4k/rVyWBubs6mTZtGidn/9t/+m8nvAQEBBAcH4+fnx+HDh03cik+fPg0Mp0vKD2x/fz979+4VqcRyVEgmNDSU2NhYDh48CMDu3bv585//DAw7+k61Fq+3t1dEW5cuXTrmMk1NTaI+WK1Wk5CQYNL2Z+vWrcTGxk5p/w+TmZmJ0WjE2dmZjo4Ok/fMzc1JSUlh4cKFU56UaG9v5+uvvxafu/Xr1z+VnrEzSXBwMD4+PtTV1XHnzp3npmepwWDg/v37ZGdnm8xKyvT395OXlyeeN7VaTWBgICtWrMDPz29S+xrZ13g63LhxQ9Rdw/AkGCDErLOzM++//z4Gg4Hc3FwuXLhAbW0tn332Ga+88gqBgYFiXW9vb3bu3MnXX38tMh10Oh179+7lpZdeEj2qFRQUFBQUFJ5/XhTdN+UwncFg4ODBg/T19bFkyRKMRiOnTp1i7ty5rFu3Dg8PD+Lj4/n+++9N1vuv//W/smbNGmxsbFCr1axbtw6AWbNmodfrhVOrwuRRqVSsW7cOd3d3tFotdnZ2bN26VURFjEYjlZWVHDp0iP3795OVlTVKNE4E2dF4LFxdXfnVr37FO++8w7Jly3B0dBzVdkeOAtXW1goxO7INyEiCgoL4zW9+w65du0SdrY+PD0ajkc7OTmB6PTCzsrIwGAz4+vri7+8/6v2BgQG++OILkVq5YsUKIWTVajVvvvnmjAnZwcFBISIeFrLz58/nb//2b1m8ePGUhaxWq2Xv3r10dXXh5OTEO++881wbPj0K+ZrfunXrmX9fGI1GsrOz+T//5/9w5MgRqqurUavVREVF8eabb/Lv/t2/4z/8h//A22+/TUxMDLa2tpiZmWE0GikrK+OLL74QNdITRZ6Ims65d3V1cfHiReDHPsySJDEwMCA+W2FhYcCwM/fChQv5+OOP8fHxYWBggL1795qUMUiSxIkTJ6iqqsLMzEy0jerv7+fAgQOcP39+zHZVCgoKCgoKCs83z7Pum3SOW35+PkuWLGFwcBA7OzuOHTtGeHg4jY2N9Pb28j/+x//gv/23/8b/9X/9X6SmprJjxw4uX77MihUrANi4cSMtLS10d3fj7u4utpuQkMA//uM/8vrrr/PRRx+xePFiVq1axVtvvTWhGkBA9Eb8ubNs2TK+//57rl+/zuLFi/n4448xMzOjp6eHvLw8srOzKS8vp7y8HLVaTWRkJFVVVRNOW21sbBwlqGxtbVm1ahXh4eGoVCphsvTZZ59NWXzNmTOHbdu2odFoaGlpIT09HbVajZ+fH93d3ajVapHKMJX7LotHOdqq1+tN3jcYDHz11VfodDrRc1c+BjMzM9588008PT1n5JmTJImzZ8+KFkQyLi4u7Ny5ExcXF2Bq5ymvk52dLYTs22+/ja2t7Qv7eQkLC+PChQt0dnZSWlrK7Nmzn8lxyC2k5Eikvb098+fPJzY21qRdjdFoxMfHBx8fH2D4fnd0dHDt2jUKCgo4c+YMAQEB2NvbT2i/arUatVotvvPk+ziZ+5mbm4vRaMTf3x8bGxuRSlxVVSWeQW9vb5Nt2tjY8Prrr3Pq1CmKioo4cuQIW7duJTQ0lPT0dO7evYtGo2H79u3MmTOHiIgI0tLSyMnJISsri5aWFrZu3fqzNO6aLlO5xwovFso9/umj3OOfPi/KPZ7o8T3Puk9GJU1SDmu1Wqqrq+ns7OTIkSN89tlnpKen4+TkhI+PD7t372b//v1i+a1bt2Jra8uBAwcmtP22tjYuXbpEVlYW33//Pe3t7Vy5coWoqKhx1+nu7sbR0ZH9+/crPQwVFBQUFBQUFBQUFBTGob+/n9dff52urq5HtvN8HnXfw0xazD5MSkoKwcHB/P73v8fW1pb//J//M//hP/wH8f6//bf/lqtXr3Lt2rVJb1ur1RIbG8vChQv56quvxl1OFrOtra0z1l/1RUeSJEpLS0lLS6OtrQ2A8PBwNm/ebBL56+vrIz09nXv37mFlZcU777wjInaWlpbj1tUaDAaGhoawtLR8ZM1lV1cXAwMDuLm5cezYMSoqKh6ZaqhWqzEajbz55psiinXy5Enu3buHi4sLr776KoWFhdy6dUukL//93/89FhYWk7o+Wq2WP/7xjwwODvLSSy+NSlWur6/n66+/BoZNhwwGA5IkoVareffdd01ml6aCVqsVUfKenp4xl9m0adOkPszjodPpOH/+PF1dXVRVVbFhwwaTfrMvKg0NDXz11VeYm5vzm9/8ZlrmZlPhwoUL5OTkYGVlxe7duyc9kyhTUlLC0aNHgeG0+k2bNj3W1Oqf//mf6enp4d133xXZAefPn2fNmjUTbtVz6NAhKioq2Lx5MzD8OfPx8WHWrFki3f3jjz8WdbQPYzQaOX78uHDZVqlUrFmzhri4uDGXb2xs5PDhw/T29mJlZcX27dunbGL2c2Qq91jhxUK5xz99lHv80+dFucfd3d24ubk9Vsw+zPOg+x5m2r0SJEliaGgICwsLFi1aNKp9SElJyZQHLBYWFgQHB4+quRwPc3Pz5/rBedqEh4cTFhZGTk4OZ8+e5d69ezg7O5sUV8uDZnd3d9Gj1szMDL1ej42NDY6OjgwMDGBlZcWCBQtYuHAhMHytR7qVjYfc8uX27duPrLWVkYWuk5MT5ubmdHZ2kp+fjyRJbN26lbNnz1JWViaWV6vVqFSqSd/37Oxs+vv7cXV1JTIy0kQISZJEamqqOBadTify+devX4+3t/ek9jUSnU5HVlYW169fH9VrF4afea1Wi0ajITw8fEafZ0dHR4xGI3V1deI+vsj4+vqi0WgYGhqip6fnqbYXamlp4ebNmwBs374dX1/fKW8rPDycmpoasrOzKS0tZd++fbz//vuP/XwZjUbUarXJMzKZ70C5btdoNBIcHIzRaKS2thZra2uTz+FYjsuSJJGbm0tpaalYVqVSYWtrO+7+/fz8+MUvfsG3335LbW0tBw4c4KWXXpqyedvPFeXv3E8f5R7/9FHu8U+f5/0eT/XYnifdJzMpMfuP//iPbNiwAT8/P3p6ejh48CBpaWmkpqYC8A//8A+89tprLF++nOTkZFJTUzlx4gRpaWmP3fbJkyc5ePAgu3btYu7cucJM5PTp03zxxReTOimFH1Gr1SxevBhra2uOHj3K1atXCQsLGyXItm/fzmeffYZWqxW1o/39/Sb22KdOnaKgoIBXXnll0uncsqHMSFJSUsjJyWHWrFkUFRXh4OBAd3c39vb2Ypbo/v37SJKEi4sLly5dorKyEnNzc9avX4+npyfW1taTPhZJkkTkKTExcVRELz8/n8bGRpPlYVg8TVUEyj04L126JBybraysRgna0NBQ8vPzmTNnziPFjF6vp7y8nIqKCtra2hgYGECSJMzMzLCwsMDc3BxLS0s8PT2F42xLSwvAhOsyn3fkmulnUSsvt5AKCwsTlvVTRaVSsX79ehYsWMA333xDa2srqampbNu27ZHrwPQMoGSRqtPpcHJyws/Pj5qaGvHsm5mZjSlke3t7OXnypPgD5ufnh729PYWFhRw9ehSVSkVERMSY+7S3t+ftt9/m2LFjFBYWcuzYMTo6Oli+fPmU3NUVFBQUFBQUngwviu6blJhtamrizTffpKGhAUdHR6Kjo0lNTWXNmjXAsCD69NNP+ad/+if+9m//ltDQUI4cOTJuy5ORhIeHY2Njw7/+1/+ampoaLC0tmTNnDp999hlvvvnmpE5KYTRRUVEUFxdTUFDAiRMn+OCDD0xEnJOTE++99x41NTX4+/vj7OxMdXU1DQ0N+Pj4kJubS35+PpWVlezdu5cPPvhgUoPP+Ph4DAYD2dnZQngkJSWRlJTEzZs3KSoqwsbGhu7ubmbNmiWOTTbWaW9vF/1Wt23bRnh4+JSvRWVlJe3t7VhYWBAZGWnyniRJo1IjVCoVkiSxatWqKQ246+rqOH36NPX19cBwhNTFxYWKigpg2CnWYDDg4eEhlhnv/Pr7+8nMzCQ7O5uhoaEJ7V+tVhMdHS0ckqfj/vy8IUcFn2aKcXNzs2hns3Llyhnbrru7O6+88gqff/45d+/eZdOmTePOnE5VzPb29lJaWkpdXR2VlZUAZGRkUFBQIK6lPNnycG9Y+fN7+fJltFotarWaVatWsWTJElQqFT/88AN5eXkcOXIElUo17jNsZmbGzp07uXDhAtevXyctLY3Ozk42b978wrWJUlBQUFBQ+Knyoui+SYnZv/71r49d5r333uO9996b1EHAcK3Yv/zLv0x6PYWJs2HDBsrKymhsbOTs2bOsX7/e5H1PT0+Tur/g4GDRusXV1ZW+vj7Ky8tpaGigvb0dV1fXCe/b1taWNWvWkJycTFFRkUl/Sq1WC/wYKTIYDMDwQF3u16nRaFi+fDlhYWF4eHhM4ex/RG6DEhUVNarWtqysjObmZvG7jY0N/f39zJo1a9KOuX19fVy4cEH0FbWwsGDZsmUYDAYxaxUZGcm9e/cAWLRoEadOnUKj0YzqySlHds+ePStaG9nb2xMaGoqnpyd2dnaoVCr0ej1arRadTkdfXx81NTUmPT9hOPLs5eU1qXN5XpHPaawI4pPiypUrwPAX8WSc1tva2tDr9Tg7O49bE+vr6yueudbW1sfep4mIWYPBwL1797h9+/a4/W/HalDe09NDRkaGiNjeunVL9Ifz9vZmy5YtzJo1Syy/ZcsWJEnizp07HD58mJ07d44raOX6WicnJ86cOUNeXh7d3d288sorEypfUFBQUFBQUHiyvCi67+mNABWeOba2tmzcuJGjR49y8+ZNVCrVhJsT29jYiDRVa2vrKaeqmpmZjYqGyoJEFrHyQL+pqUkIN19fX5YvXz6lfT68Lzk9ciwTpJH9PlUqFa6urvT39xMVFTXhqKzcd/Ty5csiehoTE0NKSgptbW2iqH39+vUiCmxnZyeMoIKDg01alwwNDXHixAkRDfTw8CA5OZnQ0NAJHVNtbS23bt0S1zczMxMrK6sZuZ7PEkmSREr806pLGRgY4P79+8BwC6zx6O/vp7y8nN7eXhoaGrh//75JKrSfn59oIj4yGqlSqfDw8KCyspLm5uZxxawcRX1UJLO/v59bt25x8+ZNent7xeve3t4EBATQ0NBAZWUl8+fPZ+7cuXR2dlJVVWVS/3Lp0iWTbdrY2LBq1Sri4uJGPXtqtZqtW7eKiRc5QvuoTIBFixbh6OjI4cOHKS8v54svvmDPnj2KkZ/ChNFqtQwMDKDX60VrM41GI/7JpRdKGruCgoLCTxNFzP7MiIqKQqvVcvLkSW7cuDHhelODwSDE1q5duybtHvwoWltbgeGeqmq1WtTzFhYWimXGMkuaCmVlZWi1WhwcHEaZ9owUKgDJyckiCjfRusjKykrOnDkjorteXl6i3kCn04nm0DExMfj7+4u6g8TERBHBHTn4b25u5ttvv6WtrQ21Ws3KlStJTEycVDqmHD20tLQUkwOXL1/G0dHxhXY1bmtrEyZIT6slV1FREUajEQ8PD5OopIwkSaSnp3P16lUxeSBjbW2Nubk53d3d1NTUUFNTQ3p6OkuXLmX+/Pkiuuzp6UllZSV1dXXj3h9ZxI8VkR4aGuLatWtkZWUJAW1vb8+iRYuIjo4W7sQnT56ksrISR0dH8cwtWbKE//N//o+IwMop9jAsgnfv3m3SP/dh1Go1L730EpIkkZ+fz+HDh3nllVcICwsbd525c+fyzjvvcODAAZqbm/n666955513HrkfhZ8vbW1t3Lt3j8rKSlpbW00masbDysoKT09P5s6dS1RU1E/GN0BBQUFBQRGzP0sWLFiAwWDgzJkzXL16dVyzlpGMHDRPty3NSAYHB0UkKCkpSUSiJEkSbrEwHKXV6XTTjsDJAjk8PHzUTP3t27dNBu4BAQHo9XpsbW0fe87d3d2cO3dORE+tra1ZvXo1sbGxop4zKyuLrq4uHB0d2bBhAydOnACGBUBgYCDnzp1DrVYTGhoKQEVFBQcOHECn0+Hg4MDOnTvx8/Ob8rkvX76cs2fPYmlpKaK9Li4u09rms0SeaAgMDHxqacZynal8jx4mOztbmEN5eHjg7u6OlZUVMTEx+Pr6olKp6O7uJj8/n8zMTLq6ujh16hQZGRmkpKQQGRlJQEAAN27cEPsaC1nMPjypIZuMyWnDs2bNYsmSJURERIxaVn4uH05Vln8PDQ3l5ZdfJi0tjczMTOrr6/nyyy959dVXH5nqr1arhXlVfn4+3333Ha+//rooWRgLb29v3n//fb788kva2tr45ptvePfdd5WUYwVBV1cXZ8+eNZlwlJEjsGq1GkmSMBgMGAwGkcEwODhIVVUVVVVVXLp0ifnz57N06VKcnJye8lkoKCgoKMw0ipj9mbJo0SJKSkqECdHjGGmw86g+sZOlsbERg8GAo6OjSUplTU3NKIOjP/3pT1hbWzN37lzCwsIm3ddTr9cL4TxWLd+NGzfEz3v27BG1rD4+Po9MUSsvL+fIkSP09/ejUqlYsGABq1atMjHQkaNlAKtWrcLCwkK0KvL396e0tBSA2bNnY21tTXl5OQcOHECv1xMYGMjLL7/82N6jjyM6Opq0tDSGhoZEHeQ333zDxo0biYmJeaHS8BoaGsjPzwdg9erVT22/NTU1AGPazmu1WiGwU1JSSExMHPOaOjg4kJSUxOLFi7l9+zbXrl2ju7ubo0ePUlJSQkpKCjDsPi33ch6JJEki4ipP7siR1NOnT2M0GnF1dSUlJeWRqehyrfrDE0RyRFluK7BmzRrmzZvHd999R1tbG59//jmvvfaaSd37w8iC1mg0UlBQwHfffccvfvGLR7ZPcnJy4q233uKLL76gubmZI0eOsHv37qfeP1jh+aOgoIDjx4+L5z4kJITQ0FC8vLxwdXUdd9JDLkVob2+nqqqK/Px8UXaRm5vL4sWLWb58+SizMwUFBQWFFwdllPAzRaVSkZycLH6/e/fuhNaBmRWzsrh0dnY2eX1kVFamo6OD+vp60tLS+Mtf/kJDQ8Ok9vWoFOOuri6RRh0QEGBSIzxeVFaSJK5fv87evXuFSdSHH37Ipk2bRg2O8vLyGBoaws3NjaioKO7fvy/ExJIlS0S0Yd68eZSUlLB//370ej1z5szh9ddfn7aQhWFxIqeTent7ExQUhE6n4/jx43z99dcm7Yied+SJgcjIyKdmZmUwGIQj9MMTKZ2dnezfv5++vj6cnJxISEh47OSAubk58fHx/M3f/A3Jycmo1Wru3btHamqqWHcsx+qBgQHxGbS1taWkpETY2JuZmZGSksLHH39MWFjYI49BTjl/+FkdK+rr6+vLhx9+SEBAAENDQ+zdu3dUb7mHkQWtn58fQ0NDHDhw4LHlAi4uLrz++uuYmZlRWlrKhQsXHrm8wk8bo9HIhQsXOHz4MDqdDj8/Pz766CP27NnDwoUL8fHxeWT0Xu5B7unpyeLFi3n//fd55513CAwMxGg0kpWVxe9+9zuysrJGlQUoKCgoKLwYKGL2Z4yPjw+LFi0C4MyZM4+M0vb09Ij0w4cjRVOloKCArKwswDRSqtVqRw2UZSG2ZMkS7O3tMRgM7Nu3j/Ly8gnvr6ioCBgWjA8P8s+fPy9+lk2x5FrescSsJEmcO3eO8+fPI0kS8+fP57333hu3jjInJweAxYsXI0mS2J+5uTnu7u6iJY/BYODgwYMYDAZCQ0N59dVXZzSFVo6mVVVVsWfPHpKTk9FoNFRWVvIv//IvnDlzZsbqk58UPT09Il18IvbvM7lfGBZ5IycXent7+fzzz6mqqsLMzIyNGzdOqqbZ3Nyc5cuXs2fPHjQaDUVFReKzNtZAXa4RtLa2JiMjw0QkvvfeeyQlJU1o//I644nZh9OPbW1teeONNwgPD8doNHL48GFqa2sfuQ8zMzNee+01HB0daW9v54cffnisA7OXl5dIU87MzBSp+wo/LwYGBti/f7+YuEpMTOSdd96ZdEbOwwQEBPDWW2+xZ88e3N3dGRwc5OzZs/zzP/8zJSUlM3HoCgoKCgpPEUXM/syRhZskSXz//ffjzk7fvn0bGI7ozYT5U319PcePHweGe9AuXLhQtOL59NNPxYAaICwsjH/9r/81r776KmvXruX999/Hzc2Nvr4+9u3bN6EBiCRJIq334bY3/f39JmZTsiBta2sDGJUaaTQaOXHihBDia9euZevWrePW89bX19Pa2oqZmRnR0dHk5+fT2dkJDBtyyenM7u7upKamIkkS0dHRvPLKKzNeCyqL2cbGRnQ6HcuXL+fXv/41ERERok75j3/8o2jn8yzQ6/X09fXR3d2NVqsdJX6uXLmCJEn4+flNe2A7GWTxZ2VlZTIZcunSJXp6enBzc+Pjjz9mzpw5U9p+UFCQicO0s7PzmJ81WcwajUZRnxsbGwsMRzYnyliRWZ1OJ74DRn4GZczMzHj55ZeZO3cuer2eEydOPDZTw9bWlldeeQW1Ws39+/fJzs5+7LFFRESQlJQEDBtVyb1vFX4etLW18dlnn1FWVoa5uTkvv/wya9asmdGU85CQED766CO2bNmCnZ0dHR0dHDhwgIMHD4rvZwUFBQWF5x+lZvZnjjwot7W1pbu7m7KyslFiD34c2Pb09NDf3z9l91hJksjMzOTSpUsYDAYCAwNJSUnhzp07XLt2TURDYXjgrNfr8fDwMIkGOzo68uGHH/LDDz9w7949Tpw4wa9//etHRozr6uro6+vD0tJyVL3jjRs3TKLOFhYWtLe3i0hcZWUlbW1tWFlZYWFhQU5ODgUFBahUKrZs2SKExHjIKdzz5s1DrVabtDsJDQ3l9OnTAGLAvmDBAjZt2vREaljt7e2xt7enp6eHpqYm/P39cXJyYufOncTFxXHq1Cna29v56quvWLFiBcuWLXuiNYuSJNHc3ExxcTE1NTU0NjaOcie1tLQUfX41Go2Ico9Mk3+ajLwvWq1W3N8tW7ZMSkyOxZIlS7h8+TKASGl+mPb2dmA4BVmtVrN582YiIyPFczRRxhKz8mswvoO4nD78u9/9jubmZvLz8x/riu3j48OaNWs4e/Ys586dw9fXV7iWj0dycjIVFRXU19fzww8/sGfPnheqrlthatTW1nLgwAH6+/txcnLitddeGzPjZSZQq9XExcURGRlJeno6WVlZFBcXU1ZWxrJly0hMTHyqPawVFBQUFCaP8i2tAAxHXIuLi4WRzMMkJiZSUFBAZ2cnhw4dYvfu3ZN2GtVqtRw7dkyk+86ZM4fo6Gj+8pe/iFY2soCFHwX0ggULRm3L3Nycl156ifr6etrb27l8+TLr16+nsrKSjIwMqqurcXJyYtGiRcTFxYnobXBwsEkKptFoNOktq9Fo+MMf/iCissCYdXsqlYodO3aM6pn7MAaDQUReo6KiuHPnjhCtKpUKvV5PV1cXZmZmDA0N4eTkxIYNG57ooH3WrFkmYlYmKCiIX/7yl5w+fZo7d+6QlpZGZWUl27dvn/G+nwaDQTj6yvf+YeS2MENDQ8KJVGbevHmPNCB6EshR0pF1rJ2dnRgMBqysrGbEFdrc3BwfHx/q6uqAYbE/8lno6uoiLS0NGB6Iyy7BI3vYTpSRkWaZkec2Utg+jLW1NYmJiVy6dImcnJwJtXiKj4+nqqqKoqIiDh8+zIcffvjI7xCNRsP27dv59NNPKSsro6Cg4LGfN4UXm5aWFvbu3cvQ0NCEWkHNFBYWFqxZs4b58+dz+vRpKisruXz5Mnfu3OGll14y+Z5UUFBQUHi+UNKMFQBEpLWvr2/c919//XUsLS2prq7md7/7nUlE83H09PTw5ZdfUlRUhEajISUlBYPBwJEjR2hubsbKyoqUlBQxaPDx8RH/jyekzMzM2LBhAzBsGPXVV1/x1VdfUV5ejl6vp7W1lTNnzgiXWBidYlxRUSEisDCccjxSyNrb2xMeHk5QUBDe3t64uroSGBjIW2+9NaGBdXl5uYhkBwUFmRhb+fn5CQdl2QArMjJyUvWWU0FuqyIbXI3EwsKCbdu2sW3bNszNzamsrOTTTz99rNnPZCgrK+NPf/oTx48fp7m5GY1GQ2hoKBs2bOAXv/gF//AP/8B/+k//if/4H/8j/+bf/Jsx++rev3+fgwcPPtX0U3lQrdPphHmXLHCnIibHY6Q7syxqYbg91V//+lfxGZ0/f/4j2908DjmdeOS1HSlm5fY+4yG3naqtrTXJqBgPlUrF1q1bcXJyoqOjgxMnTjz2+8PNzY1ly5YBcPbs2ee+nlth6hgMBr799lvhtv72228/9V7D7u7uvPXWW+zYsQM7Ozva29v58ssvRWmDgoKCgsLzhxKZVQAQgnG8yCwM/6HfvXs3J06coK2tjdTUVO7fv4+Pjw/R0dHj1i82NTWxf/9+uru7sba2JiwsjOvXr9Pf349GoyE+Pp6lS5diYWEhoqCyuA4KCnrkcYeEhBAdHc3du3dFX8758+eTkJDA/fv3SU9P58GDB+j1elQq1ah6RjllVcbZ2Znk5GRu3rxJbW0ty5cvZ+HChY88hkcht4+JjIykvr6elpYW1Go1RqMRW1tb7t+/j1qtFlFoWcQ/SeTeio+61zExMfj4+HDkyBEaGxs5ePAgMTExpKSkTHmAqdPpSE1NFfXXtra2JCQksHDhQpMInSRJdHV1UVFRQWZmphDdvr6+rFixggcPHpCTk0NxcTFVVVVs2bJlzFZLM42FhQXm5ubodDp6enpwdXUVYtZgMDA0NDQjfVFdXV3FzwUFBfj6+lJRUcGhQ4cYGhoSxzCdSLAkSWJwPjLyOxkxa2dnR1BQEKWlpRQWFprU+46HtbU1O3fu5PPPP6ewsJAbN26QkJDwyHWSkpLIz8+nra2NtLQ01q9f/9j9KLx43Lhxg9bWVmxtbXnttddmxJthKqhUKqKiopgzZw5nzpzh7t27XL58mY6ODjZv3vzEJxsVFBQUFCaHImYVgB8jg3I93ngEBATwySefkJWVxfnz50X6Z2ZmJgkJCSQnJ5sYIY0chNvb26PVakVar7u7O6+++qowWLp69SownPYou6Q+TswCbN261aS1kLm5OR4eHri6upKeni6EopeXl0mt7507d0TKs8xrr72GnZ0dx44dA5iymQ8MCwO55U50dLSIDltZWdHf3y/Sa+fMmUNxcTFmZmbMnj17yvubKLKYfZTJidFoxMrKik2bNpGVlUVBQYG4XitXrmTRokWTGtS1trby3XffiXNevHgxiYmJ9PX1UVJSQltbG+3t7bS2ttLW1mYS6bSysmL16tUsWLAAlUpFSEgICxcu5Pvvv6e+vp7vvvuOlStXsnz58ideU+nk5ERLSwvt7e24uroKUzF3d/cZc/keWTNcW1tLfn4+33//PUajkYCAADo7O+nq6hrVzmoyqFQqrKysGBwcZHBwUExQjBSzOp0OnU43rrEZDKd7l5aWcv/+/QmJWRhdP+vq6vrIz5mZmRnr169n37595OTkkJCQIJ5hhZ8Ger2ezMxMYDgzYSZakU0XKysrtm/fjr+/P6dOnSIvLw+j0ci2bduU2m0FBQWF5whFzCoAP6ZQTiRtU61Wk5iYSFBQENXV1VRUVFBUVERmZiYlJSXs2rULNzc3URtnMBhwdHQUkUA3NzeWL19ORESEMBeS615hWDA0Njbi6uo6oejTwwI8OzsbvV4vzHjkSKgsFCVJIi0tjStXrpisZ2FhgYeHB3l5eUiShJeXF46Ojo/d/3gUFRWh1+txdXXF29tb7E9OUW1ra0Oj0QhRGB4ePiORvcdhb28PDIsmg8FAXl4etbW19Pb20tHRQVdX15hOtjAsds6ePcvZs2eJiIhg3rx5WFtbY2VlhUajQa1Wo1arUalUqNVqJEmirKyMs2fPotfrMTMzw8XFhYKCgjF7CcuoVCq8vLwICwtj4cKFo9rHuLu7895773HhwgWysrJIS0tDq9WSkpLyRAea7u7utLS00NLSwpw5c4QLdkRExIztd2S2QENDA0ePHgWGn49NmzbxP//n/wRMI7hTwdramsHBQZMI7MN9bQcGBh4pZsPCwjh58iSNjY10dHRMWGDHx8fT3NxMbm4uhw8f5v333xfp72MRHBxMYGAgFRUVXL58me3bt09oPwovBqWlpfT29mJvb090dPSzPhwTFixYgK2tLd9++y13797Fzs6ONWvWPOvDUlBQUFD4/1DErALwoyCczAB51qxZzJo1i8WLF1NSUsLJkydFSwU/Pz9KS0uB4XRSWcguXryYtWvXjorqybPespBVq9Vs3759QtE/OZLl7u7OkiVL+OGHH0xMnczNzRkaGmL27Nno9Xp++OEHkf47Em9vb1QqlYjWhoaGTvhajIW8j6ioKFQqlZgoGCkUFy9eLMRLXFzctPY3UWRxotfr+fbbb6fcW7GgoGDSPUD1er2J4ZOdnR2urq64uLjg5uaGq6srrq6uODs7P/beazQa1q1bh5OTE6mpqVy/fh0bGxvR0uVJ4OXlRWFhIVVVVSQmJorn2svLa0a239bWRl5envhdrmuNj49n3bp1VFVVIUkSDg4O064ntLa2pqOjY0wxq9FoMBgM9Pf3P9L8y8bGhtmzZ1NRUUFhYeGEr71KpWLTpk20t7dTVVXFgQMH+OCDD8Z1SVepVKSkpPCXv/yFu3fvsmTJkifmcKvw9JFr8sPDw5/LNN6wsDC2bt3K8ePHuX79OnZ2dixZsuRZH5aCgoKCAoqYVfj/kAXGo6Ijj2Lu3Ll88MEHfPHFF3R0dAghC8OmUnILkfHa2MhtSOTU102bNk26flSSJGJjY5Ekidu3b1NXV4e/vz/V1dWoVCrMzMz44osvqK+vR61WExERYSJqw8LC0Ov1lJeXi9+nSk9Pj9iOHGl4uMWNvb09jo6O6HQ63NzcnppjptxqQqvVUlJSgpmZGQkJCZSWltLY2IitrS3x8fGYm5uj1+vp7++np6eH9vZ2uru7R7XOGbldc3NzjEYjkiSh1+tFD1IrKyuCg4NNBKurq+uMpObGx8cjSRJnz57lwoULeHp6EhISMu3tjkVISAgXL16kvLwcnU6Hs7MzTU1N1NXVjdnSarJcv34dSZKwtLQUwjI5OVmk8MqGUDNRWy2nco4lZs3NzTEYDI90NJaZN28eFRUV3L9/f1ITCRqNhldffZXPPvuMjo4ODh06xFtvvTWumPH29iYiIoKCggKuXLnCq6++OuF9KTzfyH4HT+pzOxPMnz+f3t5eLl68yLlz53BycmLevHnP+rAUFBQUfvYoYvZnhMFgoL6+nqqqKtHSRpIk0ZYHhqOcd+7cwcrKChsbG2xtbbGxscHS0lIIFJ1OJ/7X6XQMDQ3R0NDArVu3RvXGtLGxISIigkWLFuHu7j7mcRmNRlF7CIh2OhNFTgXu7OxEr9cTFxdHXFwcAwMDFBcXU11djZWVFV9//TUw3Lf01VdfHRWRDAwMpL6+Hr1ej62t7ZSFPcC9e/eQJAk/Pz+Revmwocm6detE6nFsbOxTq8MaWY9qbm7O7t278fLyEjXLb7755rhmXjAcPbx69Sp3794VYhWGxcnq1auJjY0VdZ4ACQkJrF279ome38i01e+//55PPvlkyr2QH4Wnp6dImc/PzyciIoKioiJu3LhBVFSUqP+eKvIk0Mh035ECsaKiAhg2w5ouspgd6WAu71ee8JiIe/C8efM4ffo0dXV1k+5BbWNjw+7du/nrX/9KdXU1J0+eZOvWreM+KytWrKCgoID79+/T0tIy7neKwotDT08PnZ2dqFSqGWlv9SRJSkqiu7ub7Oxsjh49yjvvvPNUTPsUFBQUFMZHEbM/YfR6PbW1tcKkqba2dlQLEbVajbe3txjQ5ufnj5mCK/f8fBw2NjasWLGC0NBQBgcHcXd3HxWRfJji4mIxiA4ICGDdunUTPUVg2LzK1taWvr4+amtrRW2shYUFt27dAn7smRkTE8OqVatwcHAQrroydnZ2Qkz4+vpOS3yNTDGG4XtRX18v3nd1dUWSJJqbm7G0tBw3Yv0kGCnid+/eTWBgoEl0bjyB0NLSQnl5Od3d3bi7u7Nz504qKiq4ffu2cPM9efIk6enpYntLlixhzZo1T1yoq1QqNm7cSG1tLS0tLaSmprJjx44nsp/4+HjOnTvH1atX+eijj/D29qa+vp6vvvqKDz74YMo9ea9cuSJS0WXBbGlpKSKVOp1O9NqdiQiWLGZHRtpl8Sp/Zidy3+zs7HBycqKzs5Pm5uZJm5jJz9L+/fvJy8vD3d2dxMTEcZcNCwujqKiIa9eusW3btkntS+H5Q8428PDwmDETtSeFSqVi/fr1dHZ28uDBA5EePx1vBQUFBQWF6aGI2Z8QWq2WmpoaIV7r6upEzZ2MtbU1AQEB+Pv7iyhSYWEhtra29PT04O/vj5mZmTCG6evrQ6fTjRKyGo0Gc3Nz8c/FxYWQkBDmz58vBiQT+QPf2NgoInhylHCyNVMqlYrAwEDu3bvHgwcPmD17NnV1dRw/fly0dXFxceHll1/G29tbrPew2ZWVlZUYWE0n8tXV1UVDQwMqlYrw8HByc3O5ePGiMH6C4WjEuXPnAEhMTBxlcPQkkes8NRoNgYGBwI9iX6VSjRIwZWVlpKenU1NTM2pbTk5OLF68GK1WS15eHgaDQfTttbOzIzEx8alFnM3MzNi2bRt/+ctfyM/PJz4+/olETeLi4sjMzKSjo4MrV67w+uuv89VXX9HS0sK1a9dE7+OJYjQaOXfunOg5bGdnx8aNGzlw4ICJq2tVVRV6vR57e/sZiUjKNbcjI7PyJMRkxCwMf9Y7OzvHTUF/HCEhIaxbt47U1FTOnz+Pm5vbuGnbS5cupaioiLt375KcnKwIiRecxsZGYObqzp80arWal19+mS+++EK0nXvvvfeeeyGuoKCg8FNFEbMvOLJhTEVFBfX19aNEp52dHbNnz8bf35/Zs2fj5uZmMkDV6XTCkRVg7dq1owSATqdjcHBQCFgzM7MZESj19fV88803QuRFRkZOeUAwb9487t27x927dzE3Nx/V5H7Pnj3C3VhmZGsaGxsb1Go1TU1NwPQGVnKtrLe3N6dPnza5vjJarRatVoulpSXx8fFT3tdUGNkbdWBgACsrK9LT04HhyLh8b4eGhvjhhx/E8avVambPno27uztdXV2Ul5fT2dlJZmYmarWa0NBQBgYGRP1bb28vv//971m7di1xcXFPRdR6e3szf/588vLyOHv2LO++++6M79fS0pINGzbw7bffcu3aNQIDA1m7di379u0jPz+f1atXT7hH5sDAAHv37hVRe7VazTvvvCPSiUcassn3Yc6cOTNyTrJz9shJFlnYTlbMyqnFj+tN+ygWL15MS0sLt27d4tixY3z00UdjClUfHx8CAgKoqqri7t27LFu2bMr7VHj2yN+5jypteN6wtLRk9+7dfPbZZzQ3N3P48GF279792CwkBQUFBYWZRxGzLyCSJFFSUsKNGzfEoFfGycmJgIAA8c/Z2XlCA9K+vj5UKtWYdaJy9HUmqaur45tvvhHpxWq1mpUrV055e3PnzsXKyore3l4hzEJCQigtLcXGxmbMliEj6wFtbW3R6/XC1Xk6kS/5nmi1WgoLC9FoNFhZWZlEwGTkeuSniRw5heFoX1FRkUiLTk5OBoajhfv37xfmWYsXLyYpKUm09YHhSY6ioiJycnKorq4WPXVhOEqq1+vRarWcPHmS3NxcNm/e/FQcaJOTk7l37x41NTUUFxdPy8hrPObNm0dcXBy3b9/m6NGjfPDBB7i4uNDe3s6FCxfYsGHDYz93dXV1fPXVVyL139zcnF27duHq6iocruUJGL1eL8SsnLo+XeS62JGlB/IzKh/70xSzKpWKDRs20NjYSF1dHUeOHOGdd94ZUyDExMRQVVXFnTt3WLp0qdL38wVGjsy+aO7Ujo6O7N69my+++ILS0lLOnDnDxo0blWdRQUFB4SmjiNkXCL1ez927d8nMzKS1tVW8PmfOHCIiIpg9e/a0Uu68vLxmXLSORU1NDfv27WNoaEiInoSEhCnXGsLwtTE3NxcC9aWXXgKGDXU8PT1HDTAkSTIZxDs5OQlDLEtLSxPRNlnkusaWlhbUajVhYWEUFBSIfreAcKvt7OzEYDA8tXYUkiSZTIBcvnyZ5uZm1Go127ZtE47KJSUlVFdXY2FhwVtvvTVmuq65uTlRUVFERUXR0NDAjRs3uHPnDjB8P+SerDAs3P785z+TkJDAypUrn6iAd3BwICEhgatXr3L58mXmzp37RCImGzZsoL6+nsbGRg4fPkxycjJHjhwhOzub2tpa0XtWkiR8fHzw9/cXx5Gdnc2ZM2dE9sC8efPYtGmTSCuWr5tcClBSUsLQ0BAODg4EBATMyPHLYnZkq6hnGZmF4dT3l19+mT//+c/U1NRw5cqVMSe5wsPDOXXqFG1tbbS2tipGUC8og4ODIkPmRYrMynh7e7Njxw6+/fZbcnJycHNze+qZNgoKCgo/dxQx+wIwMDBATk4ON2/eFDVplpaWLFiwgEWLFuHk5DQj+wkPD5+R7TyKqqoq9u/fj1arxcPDQxggLV26dMrb7O/v55tvvjGJOEqSRFtbG8CYDrPyezIjhZe7u/uUZ9f7+vpManGXLl1KRkaGOCYYFgrvv/8+f/zjH5EkaULGWjNFe3s7XV1dQljLLZm2bNliEvGT62Ojo6MnVHfq5eXF0qVLuXPnjhBwLS0tWFtbC/drgKysLPLz81mxYgVxcXFPTMQnJiaSnZ1Nc3MzBQUFMxbNHImZmRmvvvoqf/nLX6irq6OkpIQtW7Zw5swZGhoaaGhoMFne2toaX19fmpqaxDOiVqvZtWsXc+bMEcvp9Xqqq6sBhLurXE8bHR09Y5Gfh8XswMCASDl+VmIWhg3dNm3axNGjR7l69SqRkZGjPsOWlpbMnj2bsrIySkpKFDH7giJ//zg4ODxV34CZZN68eaSkpHDhwgXOnj2Ls7PzjLTpUlBQUFCYGEqBx3NMV1cXqamp/O///b+5dOkSvb29ODg4sGbNGn7zm9+wZs2aaQvZkUIqKChomkf8aEpLS9m3bx9arZbAwECRQhkTEzPlgUx/fz9ff/01jY2N2NjYiFnx1NRUYeY0lpi9du2aye+zZ88WAndkneJkGelYHB4eTlFREZIkmbhBOzo6UlZWBgz3mn1aUVn40WV5ZE2nra0tMTExJsvJEeTJCCe59s3b25u33noLFxcXBgYG0Ov14v6qVCr6+vo4ffo0f/zjHyksLHwiYt7a2lo44qalpY0yQpspnJ2deeWVV1Cr1eTn59PX18dvfvMbUlJSiIiIIDo6mvDwcKysrBgYGODBgwcmjsWffPKJiZCF4dpYnU6Hvb09Hh4elJWVUV1djVqtZtGiRTN27HJmgixq5bZasjEUTF7MTtUA6mEiIyOZM2cOBoOBU6dOjfmMyILh4RZbCi8OcibAi27ilZiYSFxcHJIkcfjwYTExqqCgoKDw5FHE7HOIwWDgypUr/P73v+fGjRvodDo8PDzYtm0bf/u3f0tiYuKMpWmOjBA9qeiGwWDg3Llz7Nu3D51OR3BwMFu3bhWD0Mn0lB3JwMAA33zzDU1NTdjZ2fHuu++ydu1aAgIC0Gq1Irr1sJitq6sT6bCA6G8op25PR8yOrBu1sLAQkQdJkoThTkdHB2fPngWGW9c8rRorg8FAVlYWMJzeZ2Zmhlqtpq+vTwhRGdnNeSwH4/GQI+NOTk4EBgby4YcfiojowMAANjY2QthbWlrS3t7Od999x7/8y79w7949k561M0FCQgI2Nja0t7eb3O+ZJjAwUDgYX7p0ierqapKSkti5cyfbt29n586drF+/XqTwazQa1qxZw9/93d+Netb0er2I5C9cuJChoSFOnTolfp9OKv7DyEJCTm2W68WdnZ0nPcEgT6rJTtnTRa6fNTMzo7Ky0uRzJSOL2ZqaGuHGrfBiIWcCTNQw7XlFbg0WGBiITqfj8OHDo9rgKSgoKCg8GRQx+5xRVVXFn//8Zy5fvozBYCAgIIA9e/bw0UcfERMTM+NRPNl8w83NTURoZpKmpib++te/kpmZCQwPyHft2kV+fj5GoxEfH58p1UoNDg6yd+9eEZF96623cHNzQ61W89prr+Hi4iLE0chBRWtrKwcOHDAZrM+aNQtLS0tR6zodJ+MHDx4AwxHXvLw8YHiiYPXq1SbCRaPRkJCQQEJCwpT3NVmOHDkiDLdCQkL41a9+JVrzjIwoA6Ius7GxccJCYWR7n4yMDM6ePYuVlZUQtP39/dja2iJJEkNDQwQGBmJmZkZjYyNHjhzh97//PTdv3pyxQaCFhYVIX79y5YpJbehMs3DhQhE1PXr0qJhIaWtrY//+/Xz//ffodDp8fX355JNPxu2jeunSJVpbW7G1tSUuLo7vvvuOjo4OHB0dWbVq1Ywesyw8ZTErR2ZdXFzE52OiEy2TNYyaCM7OziQlJQHDtd0PT3Y4OTnh4eGBJEki00HhxUIWsfL30ouMRqNhx44d2Nra0tzczJkzZ571ISkoKCj8LFBqZp8TOjo6uHjxIgUFBcBw2t769euJjIx8opE7WcTMdI8/nU7HlStXuH79OkajEWtra7Zu3SqcZWXhuHDhwklve3BwkH379lFfX4+1tTVvv/22SVTZ2tqaV199lU8//RSAQ4cOsWjRIhwdHcnIyGBwcBB7e3sRSfT396e9vZ3u7m40Gs2UDXZ6enpEmqW8bWtra9577z1cXV25fv06AG+//TY+Pj4zZrZlNBppa2ujvb2doaEhdDodBoMBCwsL7OzsRERYbhk0b948XnnlFVQqFa6urpSVlY2qIbazs8PNzY3W1laqqqom5Ags10veu3dv1HtyDWZfXx9WVlYMDg5SUVHB/PnzcXR0JDs7m87OTs6cOUNaWhoxMTHExsaO6a49GRYuXEhmZiZdXV3cunXriZqzrF+/nvb2dsrKyvjmm28IDAykrKwMo9GIRqNh6dKlLF++fEwzKkmSuHbtmpj0WbduHSdOnKC8vFy4HM+0adbDLrIjI7Nyiv5Ev3vkiQz5WZspEhISuHnzJq2treTn549Khw8MDKS5uZnKykoiIyNndN8KTx45pX2mIvpTpbW1VXwP9vX1odFosLa2xt3dHW9vb2bNmjUhEzk7Ozt27NjBN998Q25uLlFRUWLCUEFBQUHhyaCI2WdMd3c3V65cITc3F6PRiEqlIi4ujlWrVok6tCdJdXU17u7uIq10JqioqODkyZNicBwWFsaGDRtMUiT37NlDZWXlpPfb3d3Nvn37aG5uxsrKirfeemtMwSNHcTQaDQaDgZs3b4r3vL298fX1Fa+5ubmJNEZ/f/8pi8zLly+b/K5Wq/nFL36Bi4sLLS0tDAwMoNFoZkTIDg4Ocu/ePcrKyqioqHhkZEOtVhMdHQ0MXw9PT09qamrw9vYWdctyVG4ks2fPprW1lcrKygmJ2ZEuycHBwfj5+TE0NERlZaWJGdLg4CDm5ubodDry8vIIDQ3lV7/6FQUFBVy/fp3Ozk6ysrLIysrCx8eH2NhYIiIipiSUzM3NWb58OadOnSIjI4PY2NgnltKoVqtJSUmhtbWVrq4uEaUPDg5mw4YN46av63Q6UlNTuX37NgCLFi3i5s2b1NbWYmZmxq5du2a8bYkkSUKwent7Az86KLu6uooo9kSyNbRaLefOnQNmvvbRysqKxMRELl68yPXr10cZYM2ePZsbN26I3sYKLxbyd3dPTw99fX0iS+Bp0N3dzb1797h3794os7aHsbS0JDg4mIiICObMmfPI7++goCAWLVpEdnY2qamp/PKXv1T6zyooKCg8QRQx+4zQ6XSkpaVx8+ZNMXAMDg4mJSXlqfXba2tro6GhAXd39xkxfxoYGODcuXMivdbOzo6NGzcyb968UcuqVKpJz1g3NjZy4MABuru7sbOzY8+ePeNeK3mm39PTk+TkZO7evcvg4CDBwcEsXLiQS5cuiWWdnJy4ePEiABEREZM6JhgWAZcuXaKoqMjk9eXLlwuxKEdFpyOWYXjQl5mZya1bt0S9GQyn67m6umJtbY25uTkajYbBwUE6OjpMoh4Gg4G0tDTS0tLQaDSinrimpkbUs8rMnj2bnJwcEUV/FHfv3hXR3djYWLZu3WryfkNDA+np6RQXFwPDz79KpUKlUlFcXMyBAwfYvXs3CxYsoLS0lNzcXEpKSqirq6Ouro4zZ84QEhJCWFgYc+fOndRET2xsLNeuXaOzs5ObN29Oyzl7LHQ6Hffv3+f27dtjXquGhgby8/OJiIjAzc1NXGNJkigtLSU1NVVM/Hh6elJYWCgi2K+++uoTiezU1tYyMDCApaUls2bNwmAwiEitt7e3Se/bR2E0Gtm3b5+490+ivcrChQu5cuUKzc3NVFdXm2ROyD+3tbXR09MzrZZaCk8fS0tL4WpfWVk5pe/fyTAwMEBhYSH5+fkmn1W1Wk1gYCCzZs3C3t4eo9FIT08PLS0t1NTUMDQ0RGFhIYWFhVhYWBAWFkZsbCwBAQFjZi/Iva6bm5vJyclh8eLFT/S8FF48JEmitbVVtHfr7Oyku7tb/F03MzPDwcEBJycnfH198ff3n1HPBAWFnxKKmH0GdHV1cfDgQTF49PPzY9WqVcyePfupHsfISOJ0ZsQlSaKgoIDU1FRhKrNw4UJWr149I2mHkiSRnZ3NuXPnMBgMuLm5sWfPnkc6OcsCzsnJiZCQEEJCQkzef3imvLGxEbVaPabwHo/29nbS09O5e/fuqPecnJxEvR/8KGanM2mQl5dHamqqiMK6u7sTGRlJcHAwXl5eo86pvr6eL7/8UvweFBREUFAQtbW1VFVVmRg/9fb28vvf/57w8HBCQ0Px9fUdVTc7nuN0d3e3MCmCsScEvLy82LVrFzU1NZw6dYqmpibRlsjMzIza2lr++te/smfPHubOncvcuXPp7e3l7t275Obm0traSnFxMcXFxahUKnx8fAgMDCQwMBA/P79HRhA1Gg0rVqzg+PHjXLt2jbi4uBnJemhqauL27dtiogSGJ2nmzJnD4sWLMRqNQqimp6eTnp6OjY0Nbm5uIp1xrG3CcMRKrv1+EsgTL3PmzEGj0VBTU4PBYMDKygpnZ+cJR2arq6tFfXBAQADz58+nv78fg8GA0WjE0tISS0vLaZVKWFlZERERQV5eHvfv3zcRs9bW1nh5edHQ0EBlZeUTacGk8GQJDg6mubmZ0tLSJyJmdTodxcXF5OfnU1paalJ7HRAQQGRkJOHh4eN+JxiNRhoaGigsLKSgoICuri7u3r3L3bt3cXFxITY2lpiYGJOJFGtra5KTkzl9+jTp6elER0fPeAq+wouHVqsVGTt/+MMfTNoJjoWcMSC3ZgsMDGThwoXMmzfvqRlHKii8CChi9inT2dnJF198QXd3NzY2NmzdupW5c+c+9S+mqqoqCgoKpm0o1dnZyenTp8UXtJubG1u2bMHf338mDpP+/n5OnDghBt9z585l27Ztj23lI4vZicxkyoPxoKCgCYmczs5Orly5Ql5enjDK8fX1pba2ViyzatUqIQQMBoNIgwwODn7s9sciLS2N9PR0YDhytnLlSkJCQsZ9btra2oR7tCxyt27dKgZcch/e0tJS0tPTRRT32rVrXLt2DTs7O0JDQ3FwcKC7u/uRdbNnzpxBq9WK3rWPuoZ+fn58+OGHZGZmcvHiRSRJQq/XY2ZmRnt7O59//jm7d+/Gx8cHOzs7EhMTWbJkCc3NzRQVFXH//n2ampqora2ltraWjIwM1Go1Hh4eeHt74+3tjbu7O+7u7ibPSHR0NJmZmTQ3N3P+/HleeumlKd2HoaEhCgoKuH37tkjTheH02tjYWGJjY02eueDgYJHK+ODBA/r7+8XzNhb29vYsXryYJUuWPLGWTUajUbRokidvZGfx4OBgVCrVqLY94+Hs7IyZmRl6vZ6qqip++9vfjlpGpVJhbW2NjY0Njo6OODs7i1T/kZHqRzF37lzy8vIoLS0d9Z4sZmU3coUXi5CQEDIzMyktLR2VHTId+vv7yczMJCcnR0w2wXCNeGRkJJGRkRNKi1er1fj4+ODj40NKSgq1tbXcuXOH/Px82tvbuXjxIpcuXWLu3LksWLBAfC8vWLCAGzdu0NbWxrVr11i9evWMnJfCi0ddXR23bt3i3r17GAwGoqOj6evrw8zMDC8vL7y8vHBxccHBwUFMemi1WpPsgIaGBioqKqioqMDX15eXXnppzLaDCgo/RxQx+xTp6enh66+/pru7G1dXV958881n0l9PkiSRVhsdHT2lPp9Go5GbN29y6dIldDodGo2GZcuWkZSUNGOuyKWlpRw/fpze3l7UajVr1qwhPj5+QoOdkb08xzt+GB5oy0L5UVEBo9FIdXU1d+/e5c6dO2L9OXPmsHLlSkpLS4WYtbe3NzGjqa6uRqvVYmNjM6UU8vv37wshu2LFinFNhGR6enrYu3evMGSSGRkZUKlUuLm54ebmxtDQEGlpafj4+ODs7ExJSQm9vb3cunVLLH/x4kW0Wi1BQUEmfUgrKyspKioyuSePmxBQq9UkJSURFhbGV199RU9PD3q9Ho1GQ19fH1999RU7d+4UrVdUKhWenp54enqyYsUKurq6KC8vF3/Ye3t7aWxspLGxUdSdysfh5OSEvb099vb2eHt709zcTF5eHo6Ojvj5+WFpaYm5uTlqtRq1Wo1KpRI/y7+rVCqamprIzc3l/v37ImqpUqkIDQ0lNjaWoKAgsbwkSfT29tLZ2UlnZye1tbXieXyYhQsX4uTkhIODA25ubnh6ej7x+rqSkhJ6enqwsbEhNDRUvAbDotFoNIrn+3Fpxo6OjvzN3/wNd+7c4e7du0JQytfRYDAgSRL9/f309/ePEpxWVlb4+Pjg6+uLn58fvr6+Yxpd+fn5AcOTNPLkh4w8afFTcMT9OeLv74+VlRW9vb1UVVXNSIbSvXv3OH36tDAmc3JyIioqiqioqGm1oJPbuPn5+bF27VoKCgrIzc2lpqZGZI54eHiQlJREZGQkKSkpHDp0iKysLBYtWqSkif7MqK+v5+LFiyIzC4YnAAFee+01goKCJjxekk0Ms7KyqK2t5bPPPmPPnj3iu1FB4eeMImafEkajkcOHD9PR0YGzszNvvfXWM/vDVl5eTk1NDWZmZixbtowrV65Mav3GxkZOnDghnJD9/f3ZvHnzjPWp1el0nDt3jpycHGA42rtjx45JOS7LrsIjhddIDAYDMJyC2tLSglqtNok8yvUssmiqrKw0GSwHBgaSnJws/pDIYhMYJbjlqPWcOXMmHXUYOfGQmJjIypUrH7m87PTc2dkpImaPGxwGBQWRlpZGW1sb7777LpIkid6eBQUFDA0N0drayrFjx4Dhusjg4GCCg4PFeUdGRopo30QNllxdXflX/+pf8e2331JSUoLBYBBRwYMHD7J58+YxexCPjIJKkkRXVxf19fWi9qilpYXu7m4hoMZi5P2aKpIkUVRUNKpW+lH4+PgQERFBZGTkM6vvlAX//Pnz0Wg0dHR00NzcLFKkR7ZimkhqpIODA8uWLWPZsmXiHsqCXK/X09/fz8DAAH19fXR1ddHa2ipqoQcHBykrKzNprePs7IyHhwfu7u5C6Nvb22NhYYFWq6Wjo8Pku2ai9b0KzydmZmbMmzeP3Nxc7t69O20xe/PmTdEWx8PDg+TkZObOnTvjk0QWFhbie6ilpYVbt26Rm5tLc3Mzx44d49q1a6xZswY/Pz9qampIS0sb5SWg8NNkcHCQ1NRU0d9crVYTERHBggUL8PLy4syZM6I13USR27MtXLiQw4cPU1NTw759+/jggw/GNRdUUPi5oIjZp0R6ejrV1dVYWFiwZ8+eZzpDm5GRAcCCBQvGFXtjodPpSE9P5/r160iShKWlJSkpKSxYsGDGUsPq6+s5evSoMJSJj49n9erVkx6oyvWI49UCP9zL1NfXF61WS1FRERUVFZSXlwtBLGNtbS0icQ+nUY80E1mwYIHJe3Jq5MN1uxOhs7OTtrY21Go1y5cvf+SykiRx4sQJmpqahJC1sLBg3bp1ouXLWMgpvb29vZSWlhIaGirqjBcvXsynn34qUnkbGxtpamqiqalJtBoChJAF+Od//mfmzp0r6lkdHBzGHUhqNBp2797NtWvXuHDhgsgSkM+lq6uLlStXmpgm9ff309nZSVdXl/h/5M8jUwpheCBhY2ODtbU1VlZW1NXVYTQasbW1xczMTNR3jvwnRxSnikqlwsHBAUdHR2bNmoW/vz8BAQGT+rw9CTo7O8XkivycyjXfs2fPxtramubmZmD4eZ+sAHg4NVo2MRnr+85gMNDc3ExNTY1IG+/o6BD/ZLOwh9m7dy8uLi44Ojri6OhITU2NOF6FF5OoqCiR+bBx48YpZ/fU1dWRmpoKDLd1SklJeWLp+iNxd3dn/fr1rFy5kuzsbK5fv05zczP79u0T4jwvL4+EhIRptxtTeL6prq7m6NGjotQpOjqa5ORk4fEx3T7qDg4OvPnmm3z99dfU1tZy+PBh3n///RnLiFNQeBFRnv6nQHt7O9euXQNgy5Ytz3QWraGhgaqqKtRqNYmJiRNer7y8nJMnT4oWLvPmzWPDhg0zFl2SJImcnBxSU1MxGo3Y29vz0ksvTbnGVI7IjZfyKgtVWbC0tLTwv//3/zZZRqPR4O/vT1BQEIGBgWOaLMFwSrMctbWxsTGJZnV2dtLS0oJKpZrSucjpqU5OTo/tM5qbm0thYSEwHBFTq9W8/PLLIq1pPORZ4xs3bohWOTIeHh4iIrZ9+3ZsbW0pLy+nvLyc/Px8EeEeSV9fH7m5ueTm5gLDws7Ozk6k+8rixt7eHmdnZ8zNzfH392f16tVcunTJREReuXKF/Px8XFxchGid6GBATvk1Go309vaKe25ubo7RaKS/v58PP/xQpH739fWRlZVl4jBuY2PDwoULiYuLw87OTphWyf+AMV+bihB8Gsj3JDAwEBcXFyRJEu7jcg9X+To96TYpGo1G1IvJbq99fX00NzfT3NwsIuw9PT0i0g7Dn4mx0rbPnz9PZmYmbm5uuLq64ubmxqxZs5g1a5ZivvOcI0/09Pb2Ul5eLkoMJsuZM2eQJInIwp0XlQAA7d5JREFUyEjWrl371L0orKysWLZsmXDglttGyX4CFy5c4PXXX3+qx6Tw9Lhz5w4//PADRqMRJycnduzY8UTSgM3NzXnllVf485//TGNjI6mpqWzevHnG96Og8KKgiNmnQFZWFgaDQfSpe5bIrnjh4eE4ODg8Vhj09/dz7tw5kS5jb2/Pxo0bJ9R3dKJotVpOnjwponthYWFs3bp1ypEWWajA2ANynU4nzHtkMTYwMIBKpcLb25vAwECCgoIe65IrI0e6gVERWzkq6+fnN6XzkSPSg4ODY5qjSJJEX18fRUVFnD59WrxuaWnJjh07mDt37oTEX1xcHDdu3KCoqIj29nbhoivXq9bU1NDU1CTqzgIDA4UIUqlU+Pv7U1NTY+IUOvIYe3p6HuvcOB5ypG4k9vb2ODo64uTkJCJ08s8ODg5YWFigUqnQ6/V0d3fT2NhIeXk5xcXFImovSRKfffYZSUlJDA0Ncfv2bXGtPD09SUxMJCIi4qlEdp4GRqNRiFk5KltZWUlnZyeWlpaEh4cDiMjss5h0s7W1FS7VD/O73/2Ojo4ONmzYgJWVFd3d3XR0dJCXlyeeO3nS4uG+sy4uLsyaNQsvLy/8/Pzw8fFRIhnPEWq1mvDwcG7evElhYeGUxGxbWxt1dXWoVCrWrVv3TN1era2tWbduHTExMRw/flx0Lnjw4AGFhYXis6bw0yEjI0O0/IuIiGDLli2PnYCeDg4ODuzYsYO9e/dy69YtAgICFDd3hZ8tyl/zJ4wkSdy/fx8YTnt6ln9ge3t7uXfvnjiWR6HVarl58ybXr18XNXSLFi1i9erVM/oF3drayrfffiuil2vWrJn2dRpZ8/dwZLaoqMikhRAMi7EdO3YQEhIy6QjOwMCAEPqASdsQQKRATrVXqIeHB2q1mv7+fpqampg1axaSJHHnzh2uXLlCV1fXKAEZFBTE1q1bJ2Uu5uHhQUhICKWlpdy4cYMNGzaYvDdSzAJcuHBBvC/Xtp49e5asrCy8vb2JiIigvb2djo4Oent76evrQ6vVYjQaR0UxR6JSqbCyskKr1Y6K+tra2rJ169ZJmWaYm5vj6uqKq6srERERbN68mdraWm7fvk1eXh4Gg8GkZtzLy4vly5cTGhr6k2t9IBs/2draiskouX42MjJSTJzIz+zT6nc9UeTnwdfXF29vb/GafA5/8zd/w8DAAK2trbS2ttLS0kJjYyNdXV20t7fT3t4uMhc0Gg3e3t74+/uLFPAnOfBUeDyymC0qKhpl8jUR5L9twcHBzzydX2bWrFn84he/IDMzU2SdHD58mG3bthEVFfWT+475uZKenk5aWhoASUlJrF69+qnc2+DgYJYvX86VK1c4ffo0QUFBTzyjRkHheUQRs0+Y9vZ2ent70Wg0T72P7MPcunULg8GAr68vPj4+Yy4zODhITk4OmZmZIrrp7u7Oli1bZjxdpqCggB9++AGtVoudnR2vvPLKjLT0kZuOyy61MBzdS01NFa6tI5k9e7aJ+/BkuHHjhknk8+FrJJtkjXe9H4eZmRlhYWEUFhZy9epVYmNjSUtLM2kDNHLZl19+ecpR84SEBEpLS8nNzSU5OVkIe09PT+DHiF1vb6+Ios+ePVuYNMnR3fr6etauXTuhNPa+vj6qqqooLS2lpKSEvr4+k8mIh5c9ePAgwcHBBAYGYm9vj52dnfhnZWX12AGE3KO2ubmZwsJC8azIxMbGzmjWwfOE7E490vipoKAA+DFSOzg4KD4jI9PNnwfG6n078v45Ojri4uIy6rPW399PY2MjDQ0N1NfXix7LNTU11NTUcO3aNTQaDUFBQYSGhhIaGvrciKGfE/7+/lNONZYkSYjZZ5399DAajYalS5fi6+vL119/jSRJHDt2jOLiYjZu3KiIjxecjIwMIWRTUlJM+ss/DVasWEFJSQmNjY1cunSJLVu2PNX9Kyg8Dyhi9gkjp7N6e3s/07Q2OZoHwxHWh+nr6yMnJ4ecnBxR/+ni4sKKFSuIjIyc0fo/vV7PuXPnyM7OBoYF0csvvzxjA8iRg169Xk9mZiZXrlwRdaSxsbEmbWfGcsydCENDQyJtG4ZT5UZGs2QXYEBEkqZCUlIShYWFFBQUCPFhZmbG0qVLcXR05Pjx4wC88sorU641g+GIrru7Oy0tLeTm5rJkyRLgRzHb1NQEwIkTJ0Q0eNu2bWJ9d3d34uLiuHXrFmfOnOGDDz54bIqura0t4eHhhIeHI0kSdXV1VFVVUVdXR0tLC21tbSYRXEmSKC0tHbPfqLm5Oe7u7nh4eODp6Ym3tzezZs0ycVcuLy8nNTWVlpYW4MdnxNbWlr6+Pk6fPo3RaCQ+Pn4KV/D5pbOzU1wz+XmXjdyCg4OFU7jcekiuN32eGKv3rSxm1Wr1uM+ajY0NQUFBBAUFAcPPUEdHB1VVVVRXV4tU6wcPHvDgwQNOnjzJ7NmziY2NZd68eYpL8lNCpVJNOdW4qamJ1tZWNBrNczsZNXv2bJPuAYWFhVRVVbF58+bn9pgVHs3169dFavGqVaueupCF4e++DRs28MUXX3Dnzh2Sk5OVyTiFnx2KmH3CtLe3Azzz5tYNDQ10dHRgbm5u8odTNlL54x//KAaL7u7uJCUlERUVNeMmNq2trRw+fFgIo6VLl5KcnDyj+xmZnvrpp58KZ+TZs2ezceNGE5dUFxeXKdcv3bx5k8HBQSGI7O3tTQbUDQ0NwHDEaDqz797e3sydO1dEzBYsWMCKFStQqVT86U9/AmDx4sXTErIwPJiMj4/n5MmTZGdnEx8fL1yMYfhZqaurE8fh5eU1KpU5OTmZwsJC4Xa8bNmySe3f19cXX19f8ZrRaCQ/P1+YaoxEo9Fga2uLVqtlcHAQnU4nWvSM3Ka7uzuenp50dnaaON8uX76ckJAQ/uVf/oW+vj5mz55NZWUlqampuLi4MGfOnMldwOcYeeIoKCgIFxcXWltbRXru0qVLxXJyxP15S4GUJElMUo0nLseqKR8LlUqFi4sLLi4uor1TS0sLxcXFFBUVUV9fT2VlJZWVlZw5c4a4uDji4+OVHqFPgammGstR2Tlz5jzXZl9JSUncunWLvr4+MYF26NAhoqOj2bBhw0+mPv/nQG5uLufPnwdg5cqVk/pbN9P4+/vj4+NDXV0dBQUFP7nJWAWFx6GI2SeMLGZlQ51nhWyIEhQUhIWFBf39/WRkZHDr1i0iIiIwGAz4+PiwdOnSJ1YvmJeXx+nTp9HpdNjY2LB9+/Yptat5HPKgd2BggIGBAWxtbVm7dq0YoB84cEAsu27duikJ6cHBQdHuxsLCAr1eP8o1WI7+yZHN6ZCYmChEZENDA9bW1hw8eJD+/n48PDxYs2bNtPcBwyLmwoULdHR08ODBA0JDQ7GyssLe3p6enh6T+uCxItrytT5+/Djp6emEh4dPy0hIrVYTExNDUFAQX3/9tYh0w/CkRXd3N8HBwaxduxa1Wi2ccBsbG6mrq6O3t1e8JiO3zWltbcXCwoL4+HiuXr1KZWUlc+bM4cGDBxw/fpxf/epXP4l2L319fULMxsfHI0mSiEDPmTNHlD/09PRQUVEB8NwZiYxslTRS4Mj3x2g0otPpJtzjeCQqlQoPDw88PDxYtmwZXV1d5OXlkZubS1dXF9evXycrK4vo6GhWrFghWmwozDwjU41LS0snFLE0Go2ivdTz9tw+jIWFBcnJyZw8eRKDwcDixYvJzs7m7t27VFRUsH79+md9iAoToKSkhBMnTgDDf5tXrFjxjI9oeCKorq6O0tJSRcwq/Ox4/npH/MSQXViftZiVU4ebm5s5cOAA/+t//S/hsgywe/du3n//fcLCwmZcyA4ODnLs2DGOHz+OTqcjMDCQjz766IkIWdl9WWb+/Pn8+te/Jjo6GpVKRXFxsbgntra2U46+Xbp0iYGBAdzc3IR4dnd3N1mms7MT4LGtcSZCQECAiLzW19fz1VdfUVZWhpmZGTt37pyxFHYLCwshUm/evClelwfwI9N7582bN+Y2YmJiCA4OxmAwcOLEiWn1a5Wxt7fnk08+GbMOt6ysjD//+c9cv36dWbNmsXLlSnbt2sUnn3xiEnU3MzPD0tISSZJoamri1q1bnDhxgqtXr4pnvqysDEtLS/r6+kQ994uMJEmcOnUKnU6Hl5cXc+bMISMjg4qKCszMzEwGz3L/WR8fnxl5ZmcSOYPEzMzMJPJmbm4unv2Rpm7TwdHRkRUrVvCv/tW/YteuXQQEBGA0GsnLy+MPf/gDZ8+eFX4CCjOLSqUiOjoagJycnAmtU1ZWRk9PDzY2Ns9dnfdYxMbGMmvWLAYHBzEajbz77ru4uLjQ09PDkSNHgB//dig8f9TX1/Pdd98hSRIxMTGkpKQ860MCfuykIGe9KSj8nFAis0+YmRQ002Hu3LlkZGSYtDnx8vJixYoVFBUVERAQ8ESisVVVVRw7doyuri5UKhUrV65k6dKlT6QHZ21tLd99950Y+FpYWPDSSy+J99vb2zl69Kj4fcGCBVM65/r6ehHp2rhxI9988w2AqDuUke/9TEVyli1bJqKzsgHU2rVrR4no6bJo0SIyMzMpLy+npaUFd3d3nJycqKmpEc+Or6/vuKnTKpWKzZs388c//pGqqioyMzMn1dN4PGS365iYGPbv3y+a0sOPbWfy8vKIiorCw8ODzMxMIXDi4+NZtWoV5ubmdHV1iXRk+Z882WM0GsXPRUVF/NM//RMODg64ubmN+mdnZ/dcpeKOxbVr17h//z5qtZotW7ZQXl7O5cuXgeFnd+QkW1lZGcATmWSaLvJz5+joaHLNVSoVzs7Oor56Jr9nVSqVMISqra3l0qVLVFRUkJWVRW5uLsuWLSMhIUFJDZ1hFi5cyPXr1ykrK6OxsfGxtdtyi7CoqKgX4l6o1WrWr1/Pl19+ya1bt1i4cCEfffQR6enpwoPhL3/5C4mJiSQlJSk1288R/f39fPvtt+j1ekJCQtiyZctz8zdA/i7v6emZkhu4gsKLjPK0P0H0ej29vb0Ak2qT8iTw8fHh/fff58GDB1haWhIYGIinpyd6vZ6ioqIZ35/BYODy5ctcu3YNGBbz27dvfyINxCVJ4ubNm5w7dw6j0Yijo6MQzzJDQ0Ps3bvXJNI2FdMNo9HIqVOngOHBk6enp4g8PpxOPNNi1sfHBxcXF5G6DsNtVOLi4mZ0EOfk5MTcuXMpLi4mNzeXtWvXjjqH2NjYx25j7dq1nDp1iosXL+Lv729SCzsdPDw8/v/svXdQVXm67/3Ze8MmR8k5iYigqKiYE6Y2Z9sOdp7pc2fmzJxz71vvPVX3VL1v1X3Pe+vec2emJ/SZbrvbtlvbnCOioiIiIiBBomSQnPMO6/2Dd/2GLahEBXt/qqhuYYe111p7rd/3Cd+H3/72t9y5c4dbt24Z9EhLkiRKDqHX/Oett94ycDi1t7fH3t5eZG0lSaKpqYnKykquXr3abx5uS0sLLS0tFBYWGvze0tISPz8//P39CQoKGnflpwkJCVy/fh3oDXrIY0Ggt0S87zGUJEmUGMtGSeMJ2Ujv2YAR9M7DlcXsWAlxLy8v3nvvPZ48eUJsbCzV1dXExsaSkZHBhg0bRu3cNtJ7r5g2bRpZWVlcu3aNd99997mCoaOjQ9y/IiIiXuFWjgxfX19CQ0N5/PgxcXFx7N69m+joaMLCwrh//z46nY5bt26RlpbGqlWrCA0NHTei6efM2bNnaW5uxtHRke3bt4+r4Enf0WIajcYoZo38rDCe7WOInDkyNTUdF713np6ewx4RMxRqamo4ffq0GBQfERHB2rVrx2SOY3d3N+fOnRPzI0NDQ1m+fDl/+ctf6OnpEULz9OnTIrsDGBgbDYWHDx9SWVmJmZkZq1evFllg+TX7IpcijpazYN/FjEqlEuZILS0tbNu2bVQNaiIiIsjNzSU9PZ3o6GiDYIxCoXhuiXFfZs+eTVFREY8fP+bEiRP84he/GNXvgZwZO3PmDNnZ2QOWM3d0dHDixAmuX79OYGAgvr6+uLi4MGnSJLEQkbN7Dg4O+Pv7c/DgQYNSreXLl2NjY0NdXR319fXU1dXR0NBAR0cHjx8/FufepEmTcHV1xdHREa1WS1dXF1qtFr1eL+brmpiYYGpqiqmpKWq1GisrK6ysrLC0tDT4/5EsRGpqarh586ZY5C9cuBAPDw8OHjxId3c3Xl5eBnOEobc0rbOzE1NT01dyjRgqcs//QNsm92T37aceCxQKBUFBQQQGBvLo0SNiYmKorq7mm2++YeHChSxfvnxcLW4nMitXriQnJ4fCwkIePHjA3LlzB3xcRkYGer0ed3f3cee+/TKWL19OdnY2er0enU6HSqUS5/KWLVuIjY2lubmZEydO4Ovry9q1ayfcZ3yTkMfHKZVKdu3aNe6MxvquP56d0W7EyJuOUcyOIX0zcz+HqKokSdy/f5/Y2Fh0Oh0WFhZs3LhxUMJnODQ2NnL48GHq6upQKpWsXr2auXPnCtdbSZLo6uoiPT1dOBibm5vT1dWFg4PDkBeeHR0dBjb81tbWwrEY6NdfKf97OKY0A5GTkyOysv7+/syZM4eTJ09SUlLCX//6V5YvX87s2bNHJSI7efJkLC0taW9vp6ioyKCk2NPTc1CiVKFQsHHjRuGkffbsWXbv3j2q3wVTU1PWrFlDT0/PgON6ZBobG8XoKUAsHG1sbISANDMzQ6VSMXXqVHp6ekTw486dO4SFhdHV1UVHRweSJGFqatrveNfX1wvn7JEiC11LS0uDHwsLCxQKBZIkIUmSEMpy3/bXX38tjMeUSiUrV67E3d2dH374AY1Gg4+PD3v37u13jsgjnwICAsadIOvs7KSkpARgwB532Sl+tPb9y1AoFERERBAcHMzVq1dJT0/n7t27FBYWsn379hEZnhnpxcHBgZUrVxITE0NMTAxeXl4DjjeT3bdnzJjxqjdxxDg5OfHrX/96wNL4kJAQQkJCuHv3Lnfv3qWkpISvvvqKmTNnsmLFCuNs2leMXq8XzsVz584dFVPH0UahUKBUKsU9wYiRnxNGMTuGyJmC123+9Cpoa2vj9OnTohQzKCiITZs2YWNjMybvV15ezk8//URHRwc2Njbs3LlTlDCrVCrMzMzo7u6mqqpK3ISUSiVz587l9u3bQz4mkiQRExNDV1cXrq6uREZGAhhkZp81hRlNMdvT08Ply5fFv1UqFcHBwXz22WecOnWKyspKrly5wt27d5k9ezbh4eEjOu/k109LS6OoqMjgteTPPhjMzc3ZuXMn33zzDbm5ucTExLBmzZphb1df9Ho9SUlJ3Lx5k56eHhQKBXPmzEGn0/Ho0SMh8AZCp9P1czl+HlqtVvTljSXyQgR6j3dfQT2Y506fPp36+nqUSiXBwcEsW7aM2tpaDh8+jFarJSAggN27d/c7HyVJEqNNxqMb7KNHj9Dr9bi6ug4oFOXfvSoxKyM7soeEhHD+/HmePn3K119/zdatWyeEEdF4JyoqitLSUnJycjh27BiffvqpgYhraGigoqIChUJh0EYwkXhRj7epqSnLli1j5syZxMbGkpmZSUpKCllZWSxdupS5c+eOu8DTm0pqaio1NTWYm5uzZMmS1705AyJXAcHoBdCNGJkoGMXsGCIvlEfboGe8UV5ezrFjx2htbcXExITVq1cTGRk5Ztnox48fc/r0abRaLW5ubuzdu7efaLa0tKS7u5tr166Jkpt58+YJgTNUo5i4uDgxlmbt2rWipKevgH3WkEh+r9G4scTFxdHS0oKFhQWdnZ1iETNp0iQ+/vhjUlJSuH37Nq2trcTFxREXF4eDgwPu7u4iitzR0TGk3m0/Pz/S0tIoLi42KOEc6sLR3d2dzZs3c+rUKRITE7G1tWX+/PlDeo2+SJJEXl4e169fF1lILy8vNmzYID7r6tWrefz4MQ8fPhRmWWOBUqnE1tZWZFEtLCzQ6XTU1tZSW1srSp9NTU1xdHTE1NSUzs5OMRdXp9OJ8/PZaLpSqcTOzg4nJyecnZ2RJInOzk7xdzkSr1KpUCgUdHd3s337dvz8/DAxMeHq1atilmxwcDA7d+4cMGtfVFREU1MTarV6xLOKRxudTidMcZ4XRJEDLS0tLej1+jExl3sRU6dOxdPTk5MnT1JaWsqRI0dYtmwZS5Ys+VlU5IwVCoWCTZs2UVNTQ0NDA0eOHOH9998Xhkhy4NTX13fUWjnGI3Z2dmzfvp3IyEiuXLlCVVUVMTExPHz4kLVr145Lw7Y3ie7ubmGat3Tp0nHRMjYQ8r1BoVCMSUuXESPjGaOYHUPkhfZwejMnCsnJyVy+fBm9Xo+TkxO7du0aM/EuSRIJCQnExsYCvQv07du3DygWLSwsaGxsFGXAVlZWLF68WMyGG0rW8s6dO9y+fRvodYCV53ICBuKir5jt27My0rLf6upqEhMTAZgyZQppaWkGDpdKpZLIyEgiIiLIzs4WAlR2rs7JyWH69Ol88cUX2NjY4OnpiYeHh+ihfp5bpq+vL9Dr3izvY4VCMazPEx4eTktLC7GxscTExGBjY0NYWNiQXkOSJAoLC7l9+zalpaVA73FeuXIls2bNMhAOarWaiIgIIiIiaGxsJC0tjcePH/frq1QqlVhYWGBqaopKpcLExASVSoVSqcTc3By1Ws2TJ0+Ew7FSqSQ0NJT58+djZWWFVqulo6ODlpYWmpqaxI8kSahUKhHQ0Gg0Qx6ZoNfrxTHMz89HrVbj6elJUFAQzs7OuLu7i0W8RqPh0qVLTJ48WfSsy5nKRYsWsXz58ueKvDt37gC9pZrjzTk1OTmZpqYmrK2tn1tK+qzxyetYyNna2vL+++8TExNDUlIScXFxNDU1sXHjxlcurt8kLCwsePvtt/nmm28oLy/n3LlzbNu2DYVCIfqo+16P32R8fX359NNPSUtL48aNG9TX13Po0CEmT57MmjVrjOXtY8Tdu3dpb2/H0dGROXPmvO7NeS5ylZiVlZUxiGbkZ4dRzI4RkiS90WJWkiRiY2NJSEgAerMTmzdvHrOFpE6n49KlSyLTNHfuXNasWfPcheKz0dOdO3diYWEhek4Hm5mVFw4A0dHR/W5mzxOzfUtcR1IKJs8JlSSJkJAQ4Zg7kKA0MTEhPDyc8PBwurq6qKiooKqqyqCvt7m5mebmZmFaZGJigr+/P8HBwUyZMsUgwy27/jY1NRmIueGyYMECWlpaSEpK4syZM1hbWw9qIarT6cjMzOTevXtCEJqYmBAVFcXChQtfasTh4ODA8uXLWb58OQ0NDeTm5lJSUkJpaSmdnZ0vnE8qi1wZvV5PZmamKMsdDNbW1piamtLe3i5Kz+3t7VmyZAnOzs4olUo0Gg09PT10dXXR3NxMY2Mj1dXVNDQ0iHOsp6eHoqIi4ToMvbMFFy9eLGYMnj17VvS/2tjYsHXrVvz9/Z+7bdXV1RQXF6NUKlm4cOGgP9OroKGhQbgxL1269LlCW85MS5JET0/Pa8tKqFQq1q1bh4uLCxcvXiQtLY2Ojo7nZsSNDA45SPrjjz+SmZmJo6Mjy5cvFw7X8rn/c0CpVDJr1ixCQ0O5ffs29+/fJz8/nydPnjBv3jyWLFky7oyJJjJNTU3cu3cP6L3/j+eybjl4aQxqGPk5MqQ77JdffsmXX34pIqLTpk3jX//1X4UzZltbG//n//l/cubMGerr6/Hz8+M3v/kNn3/+uXiN3NxcPvroI0pKSvjss8/413/9V/G31NRU/tt/+28kJSXR0tKCm5sb8+bN4y9/+Ysw+ZgotLW10dXVhUKheOMuLjqdjnPnzokRKCtWrGDRokVjFg3s6uri+PHjFBYWolAoWLNmDfPmzXvhc/oKlAULFogsoyw4BzNGpaamRozhWbRo0YCL/cFkZkciANPS0igrK8PU1JS1a9cKA6OXLY7Nzc0JDAwkMDBQZO3+6Z/+iZqaGioqKqisrKS8vJzW1lby8/PJz8/n0qVLhISEsHjxYjECRS41Ho3PIh+71tZWsrOzOXLkCB999NFzgz1dXV2kpKSQmJgoxuWYmpoya9YsFixYMCz3ZkdHR+bPn8/8+fORJIn6+nqqq6upra2lrq6OpqYmWlpaaGtrQ5IkNBoNGo3mha9paWmJg4MDkyZNws7OTgQB7O3tsbW1FcdKnoV7/fp1mpqauHr1Krt3736h2ITebGNZWRlJSUnk5eUJV2StVktpaSmHDh3Czs4Of39/srOzgd4s6+rVq7G0tHzha8sl2H5+fq99fFhfdDodZ86cQaPR4Ovry+zZs5/7WIVCIQy5XnasXgWzZ8/GysqKkydPkpeXx5EjR9i9e/e4y3pPJPz9/dmwYQPnzp3j9u3bODk5CYPFN72NZyDMzc1ZvXo1s2fPJiYmhry8PO7du0d6ejqrV68mPDzcmJ0bIXIgWavV4uvrO6xRfq8SWcz+HDxaxhuSJInvm1arNVgXTnQmiu4bkpj18vLi//1//1/Ro/H999+zefNmUlNTmTZtGr/73e+4efMmP/74I35+fsTExPAP//APeHh4sHnzZgD+03/6T7z33nvMmTOHX/7yl6xcuZKFCxdSU1NDdHQ0Gzdu5OrVq9jb21NUVMS5c+f6GetMBOR+WUdHxzcqKq/T6Th27Bh5eXmip2ks5/s1NTVx+PBhkeU2NzenoqKC2tra5y5ienp6RAZPrVazfPly8bfB9rFWVlZy/PhxtFotgYGBrFixYsDHvUzMylmj4dDR0SFKqpcuXYqdnZ1YrA/nnFKr1fj7+wvxJFcP5ObmkpubS0VFBdnZ2WRnZxMREcHq1avx8PAwELMjXSAplUq2bdvGDz/8QGlpKT/++COffPKJgTBtamoiKSmJhw8fikymtbU1c+fOJTIyctR6lhQKBU5OTgNeMPV6PR0dHcKIKSMjg4SEBOzt7dm2bRs5OTmkpKQIh2OdToerqyu+vr74+voOeHyUSiWzZ88mJCSEY8eOUVpaytGjR/nkk0+ee9GWJImOjg4UCgXBwcFYWFiQkZGBVqs1MIySxb58rg52hEdZWRkw8PzW14UkSVy+fJmysjLUajVbtmx56Xk3nsQs9LrRvvvuuxw6dIgnT55w5MgR3n777TfqXvCqmTlzJrW1tdy7d49z584Bf3f9/rkyadIk3n77bQoKCrh69Sp1dXWcPn2atLQ01q9f/8YF0l8lWVlZFBQUoFKp2LBhw7gPDshrpImW+JmotLe3Ex8fT25uLo2NjajVauGBIRsy/vTTT4SEhODn5zdhtcBE0X1D2rMbN240+Pd//+//nS+//JLExESmTZvGvXv32LdvH8uWLQPgs88+429/+xvJycniQzU1NTFz5kymT5+Oh4eHEAAJCQm0tLSwf/9+ccD9/f2fKyLGO29iibFer+fMmTPk5eVhYmLCrl27BhyVMVpUVFTw008/GWRZOzs7ycjIIDs7m3fffVdkXGUkSeLo0aPCeCcoKMjgAiL//nk3Jrkv98aNG+j1euzt7dm6detzH9932+RsnmzGA4yo5PHatWt0dHTg7OxMVFQUgFisj0aWR6FQ4OLigouLC4sXL6a6upq7d++SkZFBWloaBQUF/cqAR6OE08TEhD179vDtt99SV1fHTz/9xAcffEBVVRX3798nJydHHCcnJycWLFhAeHj4K70RKJVKA1MZBwcHkpKSaGpqQqFQsGrVKpYsWUJSUhKpqak0NjaSkpJCSkoKpqamODs74+zszKRJk0SW1traWvTjbt++nePHj1NeXs7x48dZs2YN7e3ttLe309zcTENDAw0NDTQ2Nj53ZqBer0etVmNjYyNcj3fu3Dnoc6Onp0eMrAoICBjhHhs9EhMTefjwIQDbtm0bVBWF/JnHi5iF3h7Hd955h0OHDlFYWMipU6fYsWOHsYd2BERHR1NdXS3Mn8zMzMa9yHgVBAUF4e/vT0JCArdv36aoqIgvv/ySRYsWsWjRogm5iH6dNDQ0cOHCBaC3KmsiCES5nWg8BSbfRDQaDcnJydy+fZuuri7x+2dH9QGUlJQYtAU5ODgwc+ZMQkNDsbe3H9dl6zITRfcN+wqn0+k4fvw47e3twpl00aJFnDt3jo8++ggPDw/i4uLIy8vjj3/8o3je//1//9+sWrWKzs5ONmzYIMZ0uLm5odVqOX36NDt27JjwN6g3zclYkiQuXbpEZmamGBo+lkI2JyeHkydPGvSerl69Gnd3d3GzPnr0KP/wD/8gRIdOp+Ps2bNioQP9RZ+lpSWtra20t7cblFV2dnZSXV3NvXv3yMvLA3r7gDdu3PjcTKBWqxU9uNAr0uTzdqRitri4WGREN2zYIC56sngei2yEq6sr27ZtIzIyknPnzlFfX9+vN3S0SlEtLCx455132L9/P1VVVfz+978X+wx6L2hRUVFMnjx5XFwLzMzMCA0NJT09ndTUVLy8vDAzM2Px4sUsWrSIkpIS0tPTyc/Pp62tjcrKSiorKwf12jU1Nfzwww/P/btSqcTe3h5HR0ccHBzQaDSkpaXh7OzM559/TnZ2NidPnhzyZ7p3756YuTxeTHTu379PTEwMAKtWrRr0iBu5T7CtrW3Mtm04+Pr68vbbb3Po0CGys7O5fPkyb7311rg4pyciciDoz3/+M52dneMqePG6UalULF68mLCwMC5dukRBQQG3bt0iIyODt956i8DAwNe9iRMCjUbDsWPH6O7uxsvLi8WLF7/uTXopHR0douzeKGbHBkmSuH//Pnfu3BFZQzc3N5YuXYqHhwcajQYTExNxL7py5QrLly+noKCAp0+filF7N27cED4s9vb2+Pv7M2/evHE5u/hZxrPuG7KYzcjIYP78+XR1dWFtbc3p06cJDQ0F4IsvvuDTTz/Fy8sLExMTlEol+/fvZ9GiReL5b731FrW1tbS0tBgIvaioKP7lX/6FvXv38stf/pK5c+eyYsUK3n///UEf5MH0t70q6urqUCqVODk5jZttGgh52162jfHx8aSmpqJUKtm8eTN+fn5j9rkyMjJEr6qvry9lZWWYmJiI0Rw7duzgxx9/pLq6mtjYWNavX09nZycnT56kvLwcpVKJqakpGo2G7u5ug+20sbER2S9nZ2fa29tJSkoiJSVFPE6pVLJmzRoiIiJQKBTP/Zw1NTXCBr+npwcLCwvx2I6ODuGIO9T91NPTw8WLF1EqlURERODu7i5eo6WlBaVSiZWV1aBfd7DHWMbd3Z2PPvqIy5cvC6MoGVtb21E57u3t7aSkpCBJkjBAMjExISwsjMjISFHR8KJZsa+a8PBwMjMzycnJYdWqVQZRVdkZeu3atdTX11NXVyeyq7LpVkdHx3MH2puamuLu7o6VlRXW1tY4ODiIH1tbW4NsXnp6Ounp6djZ2Ym+Wfnvgz02eXl53L59G6VSyZIlSwxGBL0ONBoN169fJy0tDaVSybx584iMjBzSOVtTU0N+fv64W7R7eXmxefNmzpw5Q0pKCtbW1ixYsGDIrzPU7/GbiqmpKVFRUdy6dYuenh7Ky8snxEJwMIzGMba2tmbnzp3k5uZy7do10aoTGhrKypUrf9Zl2S9D7tWvra0VBnrPu2YPl7H4HsvrHgcHB1Qq1c/+GjEWXL16ldTUVKA3wzp//nymT58u7r19kx7y/p81axbz5s1DkiS6urooKCggPT2dyspKdDodLS0tPHr0iPT0dKKioli8ePErrdwZ7HkynnWfjEKS6/kGSU9PD6WlpTQ1NXHy5En279/PrVu3CA0N5X/9r//F119/zf/6X/8LX19fbt++zX/9r/+V06dPEx0dPajXr6+v58aNGyQmJnLmzBkaGhq4ffs24eHhz31OS0sLdnZ2HD58+KWGJ0aMGDFixIgRI0aMGDHyc6Wjo4O9e/fS3Nz8QkPN8aj7nmXIYvZZoqOjCQwM5A9/+AN2dnacPn2a9evXi79/8sknlJeXc+XKlSG/dk9PDzNnziQyMpLvv//+uY+TxWxdXd2wHE5Hm5aWFv7617+iVCr553/+53FdF6/RaLh27RqrVq0asNcuPz+fU6dOIUkSCxYsYMmSJWOyHXIJR1xcHACRkZGsXLmStrY2Dh06JEpoBoOHhwdWVlbk5+djY2NDVFQUra2tlJeXC/fWvnh6ejJ//nwCAwOHVOZw8+ZN7t+/T0BAAIWFhbi5ufHBBx8A8OjRIy5fvkxQUBA7duwY9Gump6dz6dIlFAoFe/fuxdvbW/ytrKyMQ4cOYWVlxa9+9atBb+vLjvHzOHPmDDk5OQa/Cw8PN/h+D4aWlhYeP35Menq6QVm2l5cXs2fPJjAwkB9//JGamhox4mm8EhMTQ0pKCmFhYWzYsGFUXvMvf/kLra2tvPPOOwbH+3kcPXqUoqIiVq9eTX19PQ8fPhRzZwd7jFNSUoiJiSEwMJCdO3eOxscYEhqNhry8PO7fvy9aMqytrXnrrbeG1b8rSRI//PADlZWV+Pr6smvXrnFz3ZWrDhQKBbGxsSQnJ6NWq3n//feH1Is33O/xm4h8j5XZtGmTyBRMZMbqGFdVVXHlyhWqqqqA3h7btWvXGvgC/JzR6/WcP3+e7OxsVCoV27dvHzMfgbE4xj/99BMlJSWsXr2aWbNmjcprGulte7l9+7aoWlq8ePGgRtgN9Rg/fvyYCxcuoNfrsbOzY/78+YSFhY15r3tLSwtOTk4vFbPPMh5037OMeE9JkiRKOTUaTb8UuUqlGnaJhlqtJjAw8IVzIPtiamo6Lm7ybW1twjxoosx8G2jflZeXc/r0aXQ6HREREaxYsWJMer26u7s5f/68mI+5YMECoqOjUSgUODo6sn79ei5fvkxdXR3Q29tZU1PD8+IwfQVrc3MzV69e7fcYJycnlixZgr+//7Bv6FVVVej1elxdXSkoKKCzs9PAiEav12NmZjboc7KoqIjLly+j1+tZsWJFv5tpQUEBer0eHx+fl7oxD8RQvx/V1dXo9XpRsg29In3y5MlMmzbtuc+TJImqqirhkiwvoKD3Ox0WFsbs2bPx8PAQv9+0aRNff/01WVlZhIaGjtuFaXh4OMnJyeTm5rJx48ZRudm4ubnR3NxMbW3tSxdQer2eyspK9Ho9PT09PHjwAOgdj5WdnT3oY2xubi7K517VNVOj0VBcXExubi5ZWVnCPEOtVjN37lwWLVo0IoOxjRs3sn//ftFPv2HDhtfm5ipJEiUlJTx69IjHjx/zzjvv4OPjw5o1a6ipqaG4uJjTp0/z2WefDfkcGi/3udeJnZ2dwbri5s2bhIaGvjH7ZbSPsbe3Nx9//DEJCQmip62srIx169YRFhb2s+7hloVsVlYWSqWSHTt2EBwcPObvO1rHWKvVUlZWhl6vJyAg4I35DrxuHj16JOace3l5sWTJkiH7xAz2GM+YMQMbGxtOnTpFY2Mjly5dIiEhgU2bNr10dN9IGO65Mp50n8yQ7qL/8i//wrp16/D29qa1tZUjR44QFxfHlStXsLW1ZenSpfyX//JfsLCwwNfXl1u3bnHw4EH+9//+3y997QsXLnDkyBH27NlDcHAwkiRx/vx5Ll26xHfffTekD/W6kRf+wxEc44W6ujoOHz6MVqslKChozKzp6+rqOHr0qOgxXr16NXPnzhXvlZycLPpnzczM2LZtG8HBwZw7d070L0Cva/Ty5cuRJImWlhbKysrIysrC1NSUoKAgrKyscHNzo7W1lVu3buHs7DykEoZnkSRJuAf6+/tz9+5dmpqa6OnpQa1Wi+0fbOHD06dPOXLkCDqdjqlTpxr0G0DvOSXP9Q0LCxv2dg8FedyLvb29cOcGOH36NFZWVsI0qLu7m/LycsrKykT2u6+ZE/QupiIiIpg2bdqAgsXd3Z1FixZx584dLl68iI+Pz7jMGnh7e2NjY0NraysFBQWjMntQduttaWl56WPloIlareb27dtAb99J3xmzg0E+P+vr68U5Oxa0tLSQl5dHfn4+hYWFBj3QdnZ2zJw5k7lz547KuCUXFxc2b97MiRMnKC4u5vz586JS4lWh0+lIT0/n7t27Yu4j9M7Z8/HxEYvl//iP/6C2tpbr168LMwwjg8fExAQ7Ozuam5uxsrKiubmZxMTECWHW87pQKpUsWrSI4OBgTp8+TVVVFadOnSInJ4e33nrrZ9lLK8+SzcjIQKlUsnPnzlciZEeTyspKtFotlpaWE8J1eSLQ2trK5cuXgd5s7KuYqhIQEMA//uM/8vDhQxISEmhqauLgwYOsXr1amC29DiaK7huSmK2urua9997j6dOn2NnZMX36dK5cucKqVasAOHLkCP/1v/5X3nnnHRoaGvD19eW///f/zi9/+cuXvnZoaCiWlpb88z//M2VlZZiZmTF58mT279/Pe++9N6QP9boZzfEpr4OKigoOHz5MZ2cnHh4e7Ny5c0xK9nJzczl9+jTd3d3Y2Niwc+fOfmWWcrbWw8ODjRs34ubmhiRJBuWqPj4+vPfeewYZDk9PT7KysrCysmLXrl3i97Kh0UhdT5uamujq6kKlUuHn54etrS0tLS0UFxcTHBwsMvKDGZ5dXV3NoUOH6OnpwdfXl23btvULHCQnJwsH5rF0ke6LLDz67tfJkyeTn5/PoUOHCAoKor6+3kDoyqjVagICApgyZQqTJ08e1EJpyZIl5OXlUV1dzfnz59mzZ8+4yxgoFAqmTZtGYmIiWVlZoyJmZYfol4lZnU4nIsUajQZJkggODmbVqlVDNm+SBXRTUxN/+MMfiI6OHpXyNDnIk5eX1y8rD70GYpMnTyY0NBR/f/9ROb49PT1kZmaSnp4u5uYCo3JshkJeXh5XrlwRY5LMzMyYNm0a06dPx8fHRzzOysqKjRs38tNPP5GYmMjUqVMN/m5kcDg6OtLc3MyUKVNISUkhPj6emTNnjssg2HjCxcWFTz75hDt37nDnzh0eP35McXExGzZsYOrUqa97814pN27cICUlBYVCwfbt21/5NWM0KC4uBsDPz2/c3S8nIvLkju7ubjw8PMTImVeBbG43c+ZMYTgVExODk5PTK1v3PctE0X1DErPffPPNC//u5uY27CxqQEAAX3311bCeO96YyGI2Pz+f48ePo9FocHd3Z+/evWOStblz546wJ/fx8WHnzp0DLkLkLJ6Xlxdubm5Ar7NaSUkJCoUCSZLw9fXtV6r3vIyoLKqGWsLwLHJW1sXFBZVKRUhICElJSTx48IDJkycLgSIvbJ9HaWkpP/30E11dXbi5ubFnz55+n6W+vp6bN28CvVHCV9EL2NraKspE5PJu6D0/oFfo9u2ntbe3x9vbW/y4uLgM2ZXPxMSErVu38vXXX5OXl0dWVtYry0IPBVnM5ubmjkpWUzate9mQ8Bs3boj+UkmSmDx5sphbOlQx6+3tzYYNG7h79y6NjY2cP3+ezs7OQfUDPYskSVRWVpKVlUVWVlY/Ue7l5UVwcDDBwcG4uLiM2oKrubmZe/fukZqaajDjz97entmzZzNv3rxReZ+X0d7ezoULF8T3wcrKigULFjB79uznlk0HBwczc+ZMUlNTuXTpEp999plx/uwQcXR0pKioCEtLSzw8PKisrOT69evjuud+vKBSqVi2bBlTpkzhzJkz1NTUcOzYMaZPn866desmTHvUSLh37x7x8fEArF+/fty2trwMWcz6+vq+3g15Q0hISCAnJwelUsn69etfy3XZzMyMTZs2YWpqSlJSEufOnePzzz9/LQa3E0X3GSdpjwHywnK8GJAMloyMDM6cOYNerycwMJBdu3aNuZCdO3cuq1evfu6+mjlzJrm5uSQlJSFJEgsXLhQ9sK6urlRVVQ14433enFf5sX2HXQ8HeYaoPNNt3rx5PHjwgIKCAh48eCB6ShsaGujo6Oh3EZIkiQcPHnD16lX0ej1eXl688847/T5Le3s7P/30ExqNBj8/vzE1d5AkidraWgoLC3n06JH4/bP27RYWFvT09KDT6fD19WX79u3Y2NiMyja4urqyePFi4uLiuH79OiEhIWNugjBUPD09cXR0pKGhgfT0dDEyargMRtylpKSQkJAg/h0WFsaWLVuGfY1RKBTMnj2bmTNncvPmTeLj44mNjUWj0bB06dKXbpMkSVRXV5OZmcnjx48NgjampqYEBgYOKSs/FOrr64mPjyc9PV0EXBwcHJg9ezZTp07F0dFxVN/vRTx58oTTp0/T3t6OUqkkKiqKpUuXDuq6GR0dTXZ2NtXV1SQnJzN37txXsMVvDvJxbmpqYs2aNXz33XekpaURHh4+ZuY9bxru7u58+umnxMXFkZCQQHp6OkVFRWzevHncjbgaTR48eCDmWa9cuZLZs2e/5i0aHjqdTlSjjJdZ4ROZpqYmUf20bt06A1+P10F0dDRFRUXU1tZy/vx5du3aZcy+P4fxtUp8Q5AXWBMp0p6SkiKcx8LDw9m8efOYiPEHDx4IIRsdHf3STNCUKVNYvnw5N2/e5MGDB6SmpqLVanFxcRGZXHNzc1HeWFtbS0dHh1hcPysOByqdHQ5y+aQsZh0dHVm5ciWxsbFcvnyZ9vZ2XFxcqKmpITc3l5kzZ4rnVldXc/XqVYqKioDeTN+mTZv6LYCrq6s5evQojY2N2NnZsXXr1jG5kPUVJX3Lt/tiYmKCVqtl1apVzJ8/n7KyMg4cOEBJSQnl5eWjWp42f/58kpOTaWpqIiMjw2DfjQcUCgWRkZHExMTw4MEDZs+ePaLjIl8nnldNkJ6ezvnz58W/IyMjeeutt0blXFAqlaxcuRK1Ws2NGze4desWDQ0NrFmzZkARWltbS2ZmJllZWQY9oaampgQHBzNt2jSCgoLGpCrl6dOnxMfHG8w+9vPzY+HChUN2Ih8pkiQRHx8vrmXOzs5s3759SLPxLC0tWbFiBZcuXeLmzZtMmzbtZ9m3OFxkMdvQ0ICPjw+RkZEkJydz/vx5Pv/88wntWfEqMTExITo6WmRpGxoa+PHHH5k9ezbR0dFvVJZWkiQSExOFkF2wYMGwqlHGC3K/rIWFhcH8TiPDIzs7G0mS8PHxGRcBDlNTU7Zu3cr+/fvJyckhLi6OZcuWGQXtABjF7BgglwtOpJuAfHGfM2cO69atG5MvS2ZmJpcuXQJ6+yMHexNZsmQJrq6uHDt2TIjRZcuWiYVkVVUVX3zxxYDje54tXZYztiNZ6MhllfB3MQu9N8a2tjYSExO5ffu2yAonJCRga2tLbW2tMMKB3kXEypUrmTdvXr/9/ejRIy5cuIBWq8XOzo533313VMdO6fV6srOzSUpKorS0VPzexMQEHx8fSktLDcx6vLy8KC4uRqPRoFAo8PHxYeHChcTHx3PhwgV8fX1HrQRGrVYTFRVFbGwsqamp407MAiKjWVNTQ0lJyYii4nKVwEAC8PHjx5w+fVr8e8mSJWNyM1u8eDHm5uZcvnyZjIwMMjMz8fHxISAgAC8vL8rLy3n8+DHV1dXiOSqVSjhbBwcHj4l4kCSJ0tJS4uPjKSgoEL8PDg5m0aJFgxplNNrodDrOnj1LRkYGALNmzWLt2rUGx6+np4eWlhY6OjrQ6XTodDrUajXm5uZYWVlhaWkpsuMPHz6kurqa+Ph4oxnUEHBwcAAQAbjo6Gjy8/Npamri3LlzbN++3bjoGwLe3t788pe/JDY2lqSkJB4+fEh2djbLly9n1qxZEyo4PxA6nY4rV66QnJwM9BrnyVMTJiryvdvHx2dCf47xQFdXFykpKUDv/WW87E93d3fWrFnD5cuXuX37Nk+fPmXjxo2jVg33pmAUs2OALKrkvsnxTF5envj/+fPns2rVqjH5EpeVlYlF+Zw5c4bcVC/3cMp9ssePHxeZLHk8iVqtxtPTE0tLS3Jzc9FqtTQ3Nxu8jpyxlRdCw6GlpYXOzk6USqVBJkahULBmzRo8PDyIjY0VvYN1dXX8+OOPBq8RGhrKypUr+5VEPnvDDQwMZNu2baMmFCVJIisri7i4OJFZUygUTJkyRYiS6upqvv32W5GNVSgUuLi4UFxcbNCbuHTpUnJzc6mtrSUuLo633nprVLYRestoY2NjKS8vH1O33eFibm7O9OnTefjwIUlJSSMSs/I5+mywIi8vj+PHj4t/r1mzhqioqGG/z0BIkkR5eTn5+fk8ffoUKysr2tvbxWiZkpKS5z7XwsKCjo4OCgoKqK+vx9LSEqVSiUKhQKvV0tHRQVdXF5IkiR8TExPMzMwwNzcX/7W2tsbOzg5ra2uDLHV+fj7x8fGijE6hUBAWFsbChQuHlAEdTXp6ejh27BhPnjxBqVSyZs0aXF1dSUpKorq6mtraWpqbm19q/GZqaoq9vT3Ozs64urpSXV1NUlISUVFRE+K+MR6Qr+FdXV10dnZiYWHBtm3b+P7778nKysLNza2fK7yRF2Nqasq6desICQnh4sWL1NfXc/HiRRITE1m4cCHTp0+fcO1T0HvfP3nyJBUVFQCiwmi8CJbh0lfMGhk+PT09fPfdd2KqxnhztJ47dy5KpZIrV66Qn5/PV199xb59+4zu1X0witkxQBYJr7J3aziUlpZy9uxZ4bg5VkIWeqNLwcHBqFSqYWV+ZXG3bNkysfiWsbe3Z8GCBURERIjsyBdffEFjYyOVlZU0NzeLBaJsZjSS+ZOy+ZOzs/OA5crh4eGEhISQlZXFjRs3aG1txdzcHG9vb3x9fZ/b19fS0sKxY8fEDXfJkiUsXbp01CLilZWVXL16VWy/hYUFc+bMYfbs2QZCSr5Bmpub09bWhqmpqficfWeHmZiYsG7dOg4ePEhycjKRkZG4uLiMyrba2dlhaWlJR0cH9fX1Bhnw8cLcuXN5+PAhOTk5NDU1CYfgoSJnO/vemJ48ecKRI0fEv9evXz/i3ty+6PV60tPTuXXr1oAVDS9CDii1tbXR1tZmkNkfCQqFAhsbG8zMzGhvbxcVLiqVioiICBYsWPBar6kajYZDhw5RWlqKSqXC29ubmzdvPrf/Xq1WY2VlhYmJCUqlkp6eHiG8NBoNtbW1Bk7ger2eL774Ak9PT1xcXHB1dRU/I5m/+6aiVqvFmKyGhgY8PT3x8fFh3bp1XLx4kevXr+Pq6vraXEAnMv7+/nz++eckJyeLwOe5c+eIi4tj9uzZREREjGql0Fih1+tJSkri5s2b9PT0YG5uzpYtW5gyZcrr3rQRI0mSCPQZzZ9GxqNHj6ipqcHKyoo9e/aMy5LtyMhIfHx8OHHiBLW1tRw8eJBPP/3UmKH9/zGK2VGm7/xR2X13PNLU1MTRo0eFWdXatWvHNEppYmLCzp07kSRpyO+j0+nEgn/mzJksWbJEzJ91cHDg17/+tcFr9vT0iAysXq/n8ePHYk6XfPEfybEZqMT4WUxNTYmIiMDOzo6DBw+i1+vZvn37cxeleXl5nDlzhs7OTszNzdm2bduoLcLkbKq8HWZmZsyfP5+oqKgBt0feR3JJtk6ne+7cXH9/f6ZOnUp2djZXr17l3XffHbXzyMzMjI6Ojn4GVOMFFxcXAgICKCwsJDExkbVr1w75NeTMKPSWckOvO+WhQ4fEvl63bt2oCtm2tjZOnDghsq5qtZopU6bg6OjYb5zOlClTCA4OpqGhgdTUVDo6Ol44O1kWui9CoVBgZmaGiYkJKpUKrVYrssEDjSfS6XRkZWXx9OlTHBwccHV1xdfXF29v7zHPrOj1erRaLXq9nuPHj1NaWopCoUCn0wkXUQsLC/z9/XFzc8PV1RV7e3tsbW2f22YiV4w0NjZSU1NDdXU15eXlNDQ0oNfrKSsrMxgxBL0BO1dXVywsLMjJycHX13dCiImxxsHBgdbWVhobG/H09AR6F31Pnz4lJSWFkydP8umnn44oePlzRaVSMW/ePCIiIkhOTiYxMZGWlhZu3rxJXFwcQUFBzJw5k8mTJ487kz5JksjJyeHWrVti7eDt7c22bduGHXQcb3R0dIgKkNEKIv9ckdd0s2fPFvfh8YiLiwv79u3jwIED1NXVce7cOfbu3TvhKwxGg/F1BXoDaGhooKenBxMTk3EZ3YFekfLTTz/R0dEh3NpeRT/MSN5DXiTLwkzOaAQFBfX7IsuZTXNzc7q6uigsLGT+/Pn09PSIi9ZIykKfNX96EX5+fkyaNIn6+noyMjL6iRKtVsu1a9dISkoSr7lz584RlUH3pby8nFOnTonI7YwZM1i1atVzjWbkHkX4u4uxTqcTo4wGKvddtWoVeXl5FBYWkpeXN2pRbznjNZ57zxcsWEBhYSEpKSksXboUCwuLIT2/vr6ezs5OTExMcHNzo7y8nB9++EEIwjVr1oyqy21FRQVHjx6ltbUVtVrNkiVLmDt3LllZWVy6dAmNRoNKpWLGjBl4eHhQXV3N3bt3BzQGUygU+Pr6Mn36dNzc3Jg0aRJqtRqtVktTUxONjY00NDTQ2Nho8KPVal/oJm5qaoqrqytKpZKGhgba2tro6uqisrJSjACCXiGzcOFCZs6cOSrXL51OR0lJCfn5+VRWVlJfXz/gCC/52MiZQUdHR6ytrUUFw4uELPQG9iZNmsSkSZMICgoSvz948CBFRUX4+Pjg7e0thG5LSwtNTU20tLQwffp04Thva2uLl5cXPj4+BAYGMmnSpJ/dokYW9K2trQa/X7duHbW1tZSVlXHkyBE++eQTY3Z7mJiZmbFw4ULmzZtHZmYmqamplJaWkp+fT35+Pmq1msDAQIKDg8fEvXwotLW1kZGRQWpqqlgjmJubiznab9L3Q64AtLOzm5BjIMcTcsXeROgLt7KyYteuXXz11VcUFBSQm5s7IecjjzZGMTvKyFlZeTE23tDr9Zw6dYqamhqsra3Zvn07d+7ced2b9UJUKhX+/v4UFhYSHx/Ppk2bRK+vv79/v8fLYszT05MnT56Ifz958gRJkrC3tx92X5perxeZtMHYtssmLzExMSQnJxs435aVlXHx4kUROY6KimLlypWjEuWWJImkpCSuXr0q3m/v3r0vHbcgiys5eCAHBGQxM9Ai3cHBgfnz5xMfH09MTAyTJ08e8bmv0+lE1Hmg+cPjhYCAANHzmJyczOLFi4f0fNnUyMvLi5qaGr7//ntRyr169epR7ZHNzMzkzJkz6HQ6nJyc2L17N05OTqLKAXozgBYWFqSmpgozDOg9j728vAgMDMTOzo7ExESqq6spLi6mpqaGKVOm4OXlhYeHB87Ozjg5OQ3Yz6PX66mvryctLY2cnJwBRbKdnR0zZsxg+vTpqNVqNBqNEMb19fVUVlby5MkTGhsbuXDhAmlpaezatWtY5VZyZjw5OZnc3FxRjTAYenp6qK+vN3B1lnFycsLX15eQkBD8/f0H1We4cuVK9u/fT1lZGZs2bRLZxM7OTqqrq3n69Ck1NTViJFlLSwuPHz8W7s729vZiJFJgYOC4vP+MNrKXwLNBB7kS6Ouvv6auro4LFy6wbdu2N0rMvGpMTEyIiIggIiKCuro6UlNTycjIoLW1lezsbLKzs4HeqicfHx/xM5ZlkHq9noqKCgoLC3ny5Anl5eUi2GRmZsbcuXOJiop6LfM5xxr5umOsOhgZeXl5Yk033rw5noezszPz5s3j7t27JCUlGcUsRjE76shZu/FaYnz9+nXy8vIwMTFhz549E6beftmyZRQWFpKWloa3tzdNTU2YmJgYZDZkZKEbFBTEkydP6OnpQavViozOSMbIlJWViVLgwc4gi4iI4MaNG1RXV1NRUYFarSY+Pl64oVpaWrJly5ZRKyvW6/VcvnxZ9BnLM28HYxIhC3+lUolOpyMgIIDHjx+LbPfzshuLFi0iJSWFhoYGHj16NGIHYnlxqlQqh5ztfJUoFAoWLlzIqVOnuH//PvPnzx9SMELu/fby8uL7778XDtKLFy8WpfEjRZIk7t69K+bnTZkyha1bt6JWq0lMTBRzm6G3/UDuoXV0dCQwMJCAgAD8/PwMAhnh4eGkpKRw584dWltbSU1NJTU1FegNPrm6uuLm5oa7uzseHh5C8KemppKZmWmQmfX398fX15eWlhYyMzOpq6vj4sWL3Lx5k8WLF4te7L6ldD09PTx8+JBbt25RXl7ON998w8cffzyk61lDQwMXLlwQI7KgN+o9efJk/Pz8cHFxoaKiQgh9U1NTtm3bhoeHB11dXeKnpaVFZJ2rqqpobGykrq6Ouro6Hj58iFqtZtq0acydO/eF9wVPT0+Cg4PJy8vj1q1bbNu2DegtY/bz88PT05NLly7x4YcfCkf1srIyioqKKC0tpampiYcPH/Lw4UOsra2ZPn06kZGRo1blMR6RA10DZdBtbGzYuXMn3333HZmZmfj7+4/pnO6fE05OTqxatYro6GiePn1Kbm4ueXl5VFVViR+52sjBwQFvb288PDzw8PDAzc1t2JnE7u5uKisrqaiooKKigqKion4BKC8vL6ZPn05YWNi4vneMlNEwszQCcXFxQG8L27x5817vxgyBOXPmkJCQQFFREdXV1a/NFHG8YBSzo4x8Ux2PfRlpaWkkJCQAsHnzZjw9PcdtP+KzeHt7M3PmTFJTU8UYoYHmWba2topS4tDQUK5du4Zer6exsVGI3GnTpqHVaoeVAc3NzQV6rdsHm/mwsLAgJCSEzMxMjh07ZlASN3PmTFauXDlqpVk6nY5Tp06JbM2qVauIjIzk8uXLg3q+LFp1Op1wa+1rVJOQkICzs3M/YSyXol27do1bt24RHh4+ogyzbP5jYWEx7rMpoaGhXL9+nebmZh49ejTo+XQ9PT2ibzUjI0MsysLDw1m+fPmobJskSVy9epX79+8Dvdn/xYsXk5SURHJyskGPqpmZmRCvgYGBL7yGqVQqYR5WVFREYWEhT58+pbKyUiw45e8h9O+ltbW1ZcaMGURERBiYOq1atYq0tDSSkpJobGzk6tWr3Lt3j9WrVxMaGirOBbVazfz585kyZQqHDh2ioaGBY8eO8eGHHw7qe/n06VN++OEHOjs7UalUhIeHM2vWLLy8vMR71NTUiFFiarWazz77TGRBXtSv2t7eLkzqcnNzaWtrE2Lfx8eHxYsXP3cu7rJly8jLyyMjI4PFixc/t1VFrVbj5+eHn58fixcvpqenh+LiYvLz83n8+DFtbW0kJCRw7949pk6dyvz588d1L9hwka+bA4lZ6L1vyPO/r169SkBAwLi8N09UFAqFEKnLly+ntbWV0tJS8VNdXS0CPenp6eI5zs7OODo6Ymdnh62trUEPvUajoaenB41GI4JFzc3NNDc309LS0q8nX+5Zl69dP5fjK1+7je7nI6OmpgboDchPpGoWOzs7pk6dyuPHjzl58iTvvPPOz/pcMIrZUUb+Mow3kVheXs6FCxeAXpfcsLCw17xFQ2fNmjUUFhaKUSYDZVjlbKeXlxe2trZYWFjQ3t5OSkoKGo0GGxsbjh07xvTp01m5cuWQ3l+v15OZmQnw3LIOSZJoamqipqZGiMDa2lpxwZSF7NSpU1m0aNGgs7uDQafTceLECXJyclCpVGzfvp2pU6cO6Vzsa/7j5uaGra0tH3/8MV988QUdHR00NDTw3XffERAQwMKFC/H39xeL8jlz5nDv3j2am5tJSUkZlV7P8S5koVfYzZ8/nytXrpCQkDDoHs7CwkJ0Oh0mJibinPbw8GDz5s2j8rklSeLChQuiXHjZsmX09PTwxz/+0WDEkqmpKbt378bf33/IN3OlUklgYKAoX5ckifr6elJTUw3KiPsuQJ2dnVm4cCGhoaH9glHm5uZERUUxd+5c0tLSuHXrFi0tLZw4cYLJkyezfv16gxu2o6Mj77zzDl999RXl5eWkp6cTERHxwm3u7u7m6NGjdHZ24uHhwY4dO/plN7q7u/n222+RJAmlUmkgZF+GlZUVU6ZMYcqUKaxfv57S0lIePHhAdnY2paWlHDp0CG9vb1asWNGvd9/d3Z2QkBBhXrNjx45BvadarSY4OJjg4GDWrl1LXl4eycnJFBYWilJkLy8v5s+fT0hIyIRatL0IWcy2tbU99zELFiwgLy+P0tJSLl68aDRMGUNsbGyYNm2aqAbq6uqivLyc8vJyEexqa2ujpqZG3BOHip2dHZ6ennh6euLr64u7u/sbcz4PBVnMGo3gRobc1jMR+46jo6MpKSmhtraW/fv3s3fv3nE5+eFVYBSzo4xcCjda4ypGg9bWVuFcHBISMuQZr0Ohrq6OqqoqdDodDg4OeHp6jtpcOjMzM2bNmsXNmzcB+pVVSJLEw4cPAcSC1tLSkvb2dlECGRgYSFpaGo8ePSIqKmpIGdHCwkJaW1uxsLBg8uTJNDQ0CNFaV1dHTU0NdXV1olT0WUxNTdFoNDg7O7N9+/ZRndcnSRLnzp0TQnb37t1DLlvu6xoNf68uMDMzE4uFkJAQcnNzKSwspLCwEGdnZ9zd3ZEkCb1ej5WVFW1tbcTGxqLRaERP6Zu+2Jg5cya3bt2ioaGB3NzcQZWyy5UC8vlibm7O7t27R+W8kM+HtLQ0FAoF/v7+3LlzR7iXOzg40NTUhCRJbN++/aW91IN9z8ePH3Pz5k2DPlJ3d3e8vb1pbW0Vc4nPnDnDlStXCAsLIzg4GF9fX4N+JaVSyaxZswgPD+fu3bvEx8eTn5/Pl19+ycaNG8ViGXoF7ZIlS7h27Ro3btwgPDz8hfswISGB5uZm7O3tee+99/r1gUuSxNGjR0WmfPv27cPuS5NNsnx9fWltbeXevXs8ePCAsrIyvv/+e6ZNm8aaNWsMyqOXLVtGTk4OWVlZLFy4cMiLE5VKxdSpU5k6dSrV1dUkJiaSkZFBeXk5x48fx97enqioKGbOnDlhesSeh7zfnjWA6otCoWDjxo38x3/8BwUFBaNqUmfkxZibmxMUFCTagSRJorW1laqqKpqammhubqa1tVVkYvV6PaamppiamqJWq1Gr1dja2mJnZ4ednR0ODg7j2kPhVSIHQH/O2bjRQK4aepkL/3jEwcGBTz75hMOHD1NbW8t3333Hjh07xt2c3FeBUcyOMpMnT+bKlSsUFxdTVVX12ntntVotx44do62tDWdnZ7Zs2TLqUen6+nqysrJ4/PixgRiC3hKgBQsWMH/+/FFZpPftjzl9+jTvv/++MHcoKCigoaEBMzMzwsPDgb8bhHR3dzNp0iRWrVpFcXExTU1NHDlyhA8++EBsV2dnp4gY19TU0NXVhUKhQK/X09TUJBboGo2Gf/u3fzOYudoXlUqFk5MTzs7O4sfFxQVTU1O+/PJLamtruXbt2rBGuQyEJEnExMSQnp6OQqFg165dw+q/ra+vR6fToVKp0Ol0oj9Wq9WKzMeGDRtYvXo1iYmJpKSk9JuVKaPRaIiNjQV6sycRERFERkYOugRM3rcTRQSr1WoiIyO5c+cOd+/eJSQk5IXfM0mShGGKzM6dO0ctyn7jxg0hZE1MTCgsLAR6yy4XLFjAnTt3aGxsJDQ0dFQW9jU1NZw7d06UqVtYWAizmL69rq2trTx8+JC0tDSam5tJTk4mOTkZpVKJt7e3yPK6u7ujUCgwNTVl2bJlTJs2jXPnzlFeXs6JEycoLCxk3bp1opR97ty53Lt3T5jRPK/ypLOzk3v37gG9BlsDGZrdv39f9NEGBwcTGho64v0DvcJr9erVzJ8/n9u3b/Pw4UOysrIoKChg9erVzJw5E4VCgaurK2FhYWRmZnL16lX27ds37Gu2q6srmzdvZuXKlaK0vKmpiStXrhAfH8+yZctGzQ36dSB/X9ra2sS1ayCcnJyIiori7t27XLt2jaCgoFENJhoZHAqFAltbW2M2cYT0HWNm3Jc/b+zt7fnoo484fvw4hYWFot1GHlX2c8EoZkcZR0dHsRA5ffo0H3/88WuLfkuSxKVLlygvL8fc3Jw9e/aM2niCrq4uUlJSyMjIMChNVSqVeHp6YmJiQnV1NR0dHVy/fp2Kigp27949oveUJEmYOJmZmVFdXc3+/fvZuXMnbm5uwuBm1qxZYp/3XQSuXbsWS0tLVq5cyZkzZygvL+ePf/wjZmZmdHZ2Prfv6ln6Zl4dHBzw8vIyEK4ODg7PXRxu3ryZo0ePcv/+fby8vEal3Pv+/fskJiaK1x9uVE6+OcrzXeVzRf69iYkJlpaWWFlZsW7dOpYtW0Z+fj6tra0olUrxU1paSmZmJkqlEpVKRXt7O3fv3uXevXtERUWxZMmSl56H8rGYSC6U8+bNIyEhgYqKCkpLS184yP5ZE6SlS5cSEBAwKtuRnJxMfHw80Pud0Wg0uLi4sGrVKoKCgkhMTKSyshIzM7MRB1QkSeLOnTvcunULvV4velnnz58/4DG2sbFh2bJlLF26lKKiIrKysigsLKSpqYmSkhJKSkq4ceMGFhYWBAYGMn36dIKCgnB2dubDDz8kLi6OO3fukJKSQlNTE7t27RL9drNnz+bWrVs8fPjwud+rR48eif0xUKtAVVWV6Mk3MTFh06ZNI9o/A2FjY8P69euZNWsWFy5coLKykvPnz1NQUMDGjRuxsLAgOjqanJwcSkpKyMnJGZFpHfQaJa1YsYLFixfz6NEjEhIShBt0YmIia9asGdBMb7xjZWWFUqlEr9fT1tb2wizVokWLSE1Npb6+nvT09BGb1Bkx8rro7OwU6xCjmB0+Op1uQpcZy5ibm7N3716OHTtGXl4eZ8+e5Re/+MXPKmBnFLNjwOrVqykqKqKmpoYLFy6wdevW19Kj8+DBA1JTU1EoFGzfvt3AaGW4tLS0cP/+fZKTk0XfnUKhICAggGnTphESEiIcBPV6Penp6aL8daSOayUlJTQ3N2NmZsa+ffs4evQojY2N7N+/n+DgYKqrqzEzM2PRokVAb7aorKwM6F3MlZWVcfPmTQNjmtbWVoMSNTs7O5ydndHpdNTU1AhRJZcIm5iYMHnyZJqbm6msrKSjo4NFixYNemh5SEgIixYtIj4+nnPnzvVzaR0qBQUFYvEdHR3NjBkzhv1asumSfAGUxYiceXV0dDQ4jy0sLJg+fXq/15k9ezaVlZU0NDSwZMkSXFxcePDgAUVFRSQkJJCVlcXu3btfWD4pB0gmklOjnIF++PAhd+/efa6Y7ezsFA650DveZ8mSJaOyDRUVFQZmXwqFgmXLlglzi+bmZm7cuAH0ni8jcTPv7u7m9OnTwhRN7hEdzGvK14yAgAAkSaKxsZEnT56I8vXOzk4yMzPJzMxk0qRJzJ07l4iICFasWIGPjw/Hjh2jsLCQ77//nvfee09kgm/dukVJSQkdHR0DBkLk/uE5c+b0uybr9XrOnTsnys1eNI95NHB3d+fjjz8mMTGR69evk52dTUVFBTt37sTLy4sFCxZw+/ZtMe5qNDA1NSUyMpKZM2fy4MEDbt++TV1dHYcOHWLWrFmsWbNmQpUeKxQKbGxsRLnqi8Ssubk5CxYsIDY2lrt37zJjxowJm5E28vNGDjBbWlqOyii/nyvySB5zc/MJP4dapVKxZcsW/vSnP1FbW0teXt6Ig6ATCeOVfAyQRwIoFAoyMjKERf2rJCsrSyxqV65cOeKoe2VlJWfOnOGPf/wjCQkJ9PT04OzszPr16/nP//k/8+677zJz5kwDK3ylUklERIQoY3y2rHKoyG6IoaGhuLu784tf/IKpU6ei1+vJyckBYMaMGVhaWtLS0sKhQ4dEj2BbWxu3b9+msrJSuJfKN4GVK1fy2Wef8Z//839m/fr1tLa2UlRURHt7O6ampixZskS4iq5YsYJdu3bx4Ycf4u3tTXd3NydOnBhSv8Xy5csJCAhAo9Fw4sSJYZuF1dfXc/LkSSRJIiIiggULFgzrdWT6jsOBv4tZeXbyYHv3lEql6MtOTEzE39+f999/n7179+Lg4EBzczPffvvtC8+HJ0+eALwwuzkekY9Bfn7+gAYnkiRx6tQpUS5vZmbGtm3bRm1RferUKRFpVqvVvP/++yxZskS8/uXLl9FoNPj4+AzadXkgOjo6OHDgALm5uahUKjZv3szu3buHJY4VCgWOjo7MmTOH3bt383/8H/8HH374IVFRUZiZmVFfX8/ly5f53//7fxMTE4OTkxP79u3D0tKSp0+fCj8Ae3t73NzckCRJ9CP3pampidraWhQKxYCZ25SUFHGu29vbExkZOfQdM0SUSiULFizg448/ZtKkSbS0tHDgwAFSU1NZuHAhNjY2NDU1jfoscJVKRVRUFL/5zW/EOIqUlBT2798/4Ozf8YycmerrzP08IiMjMTc3p76+XtwzjBiZaMgB+IkyWnG8It+jfXx83ojAloWFhRg/9ujRo9e8Na+WiX/0xim+vr6sXr0agJiYmFdqCFVYWMipU6eA3pv3cEROd3c3eXl5XL16lS+//JKvv/6aR48eodfr8fX15e233+bzzz8nMjLypaWgctmrnMEZDt3d3cJJWM4+WlhYsHPnToMxMUlJSVy+fJnvvvvOYHGjVCqZOXMma9eu5Xe/+x3btm0Ti9XExESSk5P56quvOHz4MNXV1VhaWrJ+/Xr++Z//mbCwMCorK1EqlSITaWJiwq5du4DezGVnZ+egP4tSqWTbtm1YWVlRW1srMqtDQa/Xc+rUKbq6uvD29mb9+vUjzv7LYlZ+HVnMylnSoRjRTJs2DWdnZ7q6ukSP4uTJk/nss88ICgpCq9Vy4sQJCgoK+j23traWkpISFArFhDNqcXR0FD2W8hisviQnJxt85k2bNo1K9k8OpsjH0MLCgg8//NDALbeiooLc3FwUCgUbNmwY9vnS3t7O999/T1VVFVZWVnzwwQdERESMWvWJSqXCx8eHNWvW8Lvf/Y5169bh6OhId3c39+7d44svvuDu3busWrUKtVpNSUmJmJUrny8DCRW5n9fd3b1fr6xWq+XWrVvi38uXL3+lixsPDw8+/fRTQkJC0Ol0nDt3jtjYWHEPiY+Pp66ubtTf19zcnLVr1/Lee+9hbW1NbW0tX3/9tRgZNRGQxaxsiPMizMzMmDNnDoBozTBiZKIhX+eNZlgjQy4tHm/TR0aCvD7Oz88fdOvcm4BRzI4h8+bNIzw8HL1ez/Hjx2lqahrz96ysrOTo0aPo9XpCQ0NZt27doBaZer2e4uJiYmNj2b9/P//jf/wPfvrpJxITE6mpqRHZzI8//pgPPviA4ODgQS9e5fmGI4n4y71uTk5OBuK1sLBQBAq8vb2BXkH77L7W6/UsX76cefPmCfGwcOFC4XackpJCS0sLVlZWzJ49m1/+8pdERkZiZmZGWloa0CvG5Oe2tLRw9+5dYHglKlZWVmzduhXoFThDzRLcuXOHyspKzM3N2bFjx6iUGsllxnIvjrW1NZIkibLsoYjZZ7Oz8mubm5vz9ttvExYWhl6v59ixY6IUHP7e5w29wmQizgyUg0cZGRkGAZW6ujohuqB3/46WuZBctQC9+/7tt9/uZz53+/ZtAKZPn/7c+aUvo729nQMHDlBTU4ONjQ0ffPDBmM4vNTMzY+7cufzqV7/i7bffFmXJ2dnZnD17VizmHjx4QGFhoeiDffLkSb8FSmNjI9BrBvQsjx49EiZnkyZNei2jy8zMzNi1a5f43jx48IDk5GQCAwPR6/VcuXJlzN47ICCAzz77DC8vL7q6ujh8+LDB93I8I18j5OP7MuQS87KyMgPXbSNGJgrytWos2yB+Dshr0jchKyvj7OyMp6enaJvpO4bvTebNOYLjEDkD4uLiQltbG998882AmajRor6+nkOHDtHT04O/vz9bt2594ZdUr9eLBctf/vIXvv/+e+7evUtFRQWSJOHo6MisWbPYvn07//RP/8S2bduGtXCVSyr7liAPBUmSSE5OBgx73VpaWjh9+jTQm4Hua6gjExQUJHqF+xpVQa+Y+OUvf8n06dMJCQkhOjqa3/72t2zYsEGU72g0GiEU5IhXT08Pf/vb30Rkf9myZcNqtA8MDGT+/PkAnD9//oWzEvtSV1cnhMm6detGzQBCLk+Vj5etrS11dXW0traiUqmGPCJk6tSpuLm50dPTI7Kz0Hvj2LJlC0FBQWg0Gg4fPixuKunp6RQXF2NiYsKqVatG5XO9ajw9PfHz80Ov14vPrdPpOHnypCh7BwbsNx4Ora2twvwMerO9cmBHpqysjLy8PBQKBYsXLx7W+/T09HD48GHq6uqwtbXlgw8+GFAYjgUKhYLg4GDee+89Pv/8c2bNmoWJiYlBgOzChQs4OTlhb2+PVqsVpeoycpDm2Z5QnU5nUMb7qrOyfVEoFCxdupQ9e/aIrHNtbS0mJiaiv2ussLGxYd++fQQEBIhjPViB+DqRxyYNNlhqY2Mj2m7kQKURIxMJOeNmFLMjQ652GY3RdOOJFStWoFQqycvL45tvvhlU1cpEx9g5Psao1WreeecdUb566NAhAgMDiYqKIiAgYNQWTa2trfz44490dHTg7u7O7t27+2XrZKOV0tJSSktLyc/Pp6Ojg+nTp9Pe3o65uTnBwcEEBATg5+c3avPL5P6O4ZbEyAs6U1NTIQA0Gg3Hjx+nvb0dFxcXmpubhVGRmZkZTk5OVFRUGAQPrl+/TnFxMXZ2dlhbW2NhYYGFhQUrV67EwsJiQDe7uLg42traMDc3Jysri+LiYioqKkSmcfPmzSMyXVqxYgWFhYVUV1dz9uxZ9u7d+9KM9/Xr19Hr9UyePBk/Pz9SU1MpLCyktrZWbJdarcbR0REPD49BW7TLpapyRsvW1lYs9vz8/Ibs9icvzI8ePUpSUhILFiwQAQ2VSsXOnTs5ePAgFRUVHD16lI8//lj0eSxatGhUDMteFwsWLKC4uJiUlBSWLFnC/fv3RTBFnms3WrPgzp8/L6KvoaGh/c7Hrq4u0XYwY8aMYc1M1ev1nDhxgsrKSiwsLHj//fdf2/FxcXFh48aNrFixgps3b4rZ0o2NjSQnJzNlyhTu379Pbm6ugWOxHEh49pqbm5srbvaurq6jli0fCVOmTOHjjz/myJEjNDY2GgTL2traxswYzcTEhN27d4vv5YkTJ/jwww/HtcmMfB4OpfJnxowZ5Ofnk56e/lqDF0aMDAc5cD+R3P7HI3IioKysTCQW3gQCAgLYt28fx44do6amhh9++IEPPvjgjS5LH793qDcIW1tbPvroI+Li4khMTOTJkyc8efIES0tLpkyZQkBAAB4eHjg4OAyr76y7u5vDhw/T1NSEo6Mj77zzDmZmZmg0GiorKykrK6O8vJzy8vJ+NfSyuJAHLY+Flbe8yBhuBlHOyk6fPh1zc3N0Oh3Hjh2jvLwctVpNT08P+fn5QG+U/sMPP8TKyoqCggISEhLEzMjq6up+c3D7YmFhgZ+fHwEBATg5OVFbWyv6Hru6usRYIOgVi3v27MHf339Yn0nGxMSEbdu28dVXX1FQUEBycrLo6RqIiooKUZLc0dHB73//++c+tr6+nvz8fNHr+9133+Hl5YW3tzc+Pj4vDFbY2tpiaWnJ48ePAYbtpjplyhRcXV2prq4mMTGR5cuXi7+p1Wp2797NV199RU1NDWfOnBEl49OmTRvW+40XgoKCxOe+deuWMIGThayZmVm/7OlwyM3NFccYYM2aNQZ/lySJM2fO0NTUhL29fb+/D5Zr166Rn5+PiYkJe/fuHZYgHm2srKzYsGEDISEhHD16FK1WS2xsLNu3bxezYiVJEtfU5/VHPXjwQPz/ypUrX4vz/EC4uLjwySefcPz4cYqLi8Uxvnr1Krt37x6z7VSr1ezcuZO//e1vVFZWcu3aNdatWzcm7zUayOdiU1MTGo1mUEG3KVOmYG5uTktLC8XFxaM2FsuIESMTh5kzZ3L//n3y8vJeOKd6IuLj48Mnn3zCgQMHqK+vH3SyZKJiFLOvCLVazerVq5kzZw6JiYmkp6fT0dFBamoqqampQG8/oZubG+7u7ri5ueHh4cGkSZNeePLJfYeyGcs777yDhYUFFy9eJC0tzWAmKvx9Dqy3tzd+fn54e3tz9erVMRsir9FoxGKxb6/rYGltbRWut5GRkXR2dnL8+HGKiopQKBT09PSIrJSvry/vvfee+BxBQUEEBQWRlZXFiRMnsLKyIiwsjJaWFtrb2+no6KCzs5POzk70ej2dnZ1kZ2cP6LIrG4fo9XoUCgUzZ84c0oK+p6eHlpYWWltbaW9vp7OzExMTE9RqNXZ2dixfvpzY2FhiYmLw8/MbsKexubmZM2fOiH/Lhjaenp4EBgbi6ekpyqM7Ozupq6sTQQzoFfNPnz4Vx8Pf35/o6Gg8PDwAwyivn58fNTU1VFRUoFQqh91DqFAoWLJkCcePHycpKYnFixcbZHlk5+/vv/9e7HcrK6txIZZGgkKhYNGiRZw8eZIHDx6IrHdgYCAFBQUEBgaOOBuk0Wi4cOGCwe+e7d2+c+eOcBzesWNHP+OjwZCRkSFK6rdu3TqmPbLDISgoiA8//JCvv/4anU5HSkqKGEPU1NQkspjy+d3XrK25uZni4mKgtyd8vM1atbS05N133+XKlStirFB+fj4pKSkjcqN+GXZ2dmzZsoWffvqJpKQkEXQdj1hZWWFtbU1bWxtPnz4d1H3GxMSEqVOnkpqayuPHj8ftZzNi5EUMZYqCkf64uLhgYmKCVqulvr5+RGMSxyP29va88847/O1vf6OgoICMjIxRa28abxjF7CvGwcGBdevWsXr1akpKSsjNzaWiooKqqiq6urooLi4WiyvoFcEeHh4GP/b29kLgXr9+ncLCQkxNTdm7dy+Ojo7ExcWJbKaNjQ3e3t54eXnh5eWFu7u7gZgYSxe32tpa/vrXvwK9mT7ZMnwoJCcno9fr8fb2RqvV8uc//1mU0soXcoVCwcqVK1m4cOGAryEvvjs6OoiOjh6w/Lqnp4eamhqKioooKiqivLwcrVaLiYkJ8+bNY8GCBS8t6ZEkiaamJkpKSqipqaGhoYHGxkZaWloG7Ofti0KhwMLCgs7OTk6cOMGnn34qtrOiooLExESysrLEZ7a0tCQyMpJZs2Y9N8MaEBDA3Llz0Wg0XLp0iS1btlBRUUFZWRlPnz6lqKiIb775hujoaKKiogz2S1hYmAiyBAcHj6g3JyQkBDs7O5qbm8nJyeknjH18fFi7dq0wfnJycnojooehoaFcvnxZnK+TJ08WlRGjIZpu374t+qwjIiJEz7NMRUUFcXFxAKxfv37Q5eZ9qaqq4ty5c0Bv6fd4KMEdCA8PD0JDQ3n8+DEFBQUiK15UVNRPzPatTunbK7t27dpxed6pVCrWr1+Pk5OTKFW/ePEiLi4uo5Ldfx7BwcHMmTOHBw8ecOHCBT7//PMhtxq8ChQKBZ6enuJeOtigaWhoKKmpqeTk5PDWW28ZS42NTBjeRBfe14FCocDHx4fCwkJu3rzJrl27xuU9YCQ4OzuzZMkSbt68SXx8POHh4W/cZwSjmH1tqFQqAgICRERYp9NRW1vL06dPxU9VVRU9PT39BK65uTnu7u6o1Wox7mbz5s14eHiIearQu4CdPXv2aztxZbdf6DUqetZ45WV0dXVx//598e9vvvmm32Pc3d3ZtWvXC11vbW1tRTlyY2Njv6ynQqEQZZ/e3t7C2dnU1JTPPvvsuSY3kiRRX19PSUmJ+HnRrEO1Wo2trS1WVlZYWFig0+no7u6moaGBtrY2kTGqqanh6NGjbN26lWvXrvUzKXFzc+OTTz4ZciY9JCSE8PBwoLckLzY2lqysLGJiYujo6BAlvmq1Gj8/P86ePQv0luKMBKVSyYwZM7h9+zaPHj0aMMsbFhbG1atX0el0VFZWUl9fP+GzszqdTgQxFAoFa9eu5U9/+hMwcjHb2Ngovl9WVlasWLGC2NhY8XeNRsOZM2eQJInw8PBhHcOOjg5RvhsUFGRQIj4eiY6OFmXxssgvKSkRQTRZzMrBBb1eL75bXl5ew6oceZXMmjWLS5cuoVQq0Wq1fP/992PuJr1y5Upyc3NpbGwkISGBpUuXjtl7jQRZzMrO64PB398fMzMz2tvbKSsrm3AzrY38fJF7HwdrGmnk+axevZqvvvqKnJwc8vLyJtw4wMEwd+5c4uPjqa2tpaqqashmnhMBo5gdJ6hUKtzc3HBzcxMLT71eT21tLZWVleJHzuDKfaAyV65cIS8vDy8vL5G9e90OZn1LYPoasQyW+/fv093dLcYo9EXOxs6fP/+lEXWFQsGkSZN4+vQpDQ0NLxxLUlFRIeZNBgQEkJGRQVNTEzqdDoVCIQIDzc3N1NXViYWxjFzGLZeIOzg4YGtri52dXb8SUEmS6OrqoqOjg6qqKvLy8sjOzkaj0VBQUMC///u/i2ybv78/paWl6HQ6Vq1aNeKScHt7e7Zv346HhwfXrl0jPj7e4O8ZGRm0t7cbOH+OhLCwMG7fvk1RURE9PT39AhtxcXHodDpMTEyEw/HHH388oQ0u5BFZ0Hus5fJuNze3EQ+7P3XqlPh+bd++vd/+TEhIoK6uDmtr62H1O+r1ek6ePCnKdLdt2zbuM1cODg64uLhQU1Mjsq99HcyfLTOWzzmALVu2vNqNHQF79uzhxx9/RKfT8d1337FlyxYRpBptzMzMWLVqFSdPnuTu3bvMnj17XJqIyFUHQ3F8VqlUhISE8OjRI7Kzs41i1siEwShmRw9XV1fmzZvHvXv3uH79Ov7+/kNOvIx3zM3N8fPzIz8/n9LSUqOYNfJqUSqVuLq64urqKgSuTqejurqa06dPU1dXh1qtRqvV0tbWRnp6Ounp6SiVSvR6PfHx8SiVyteWUZGzpcOJdPUVlc/2hbi4uLB169Z+czRfhKOjI0+fPn3hXEGNRsP+/fvFv3Nzc0Xm+3moVCq8vLzw9fXFz88PLy8vUQLU3d1NfX091dXV5OXl0dzcTGtrq/hvR0fHC3te+paN9g1enDlzBjs7O+zs7LCxsRFi2dbWFhsbG8zNzTE1NX2p+Oju7sbLy4ugoCAD1+eenh5RfhkVFfXc1+nu7iYlJYWCggKUSiX+/v7MmTNnwFJEeWRKU1MTZWVlBlb4ubm5wiBp8+bNxMbG0tDQwLFjxwx6oMealpYWkpKSRsUEqKCgQIyGcXZ2pra2lszMTGDkWdmsrCyxaA8LC8Pf39+g3KzvDOQ1a9YMayTWjRs3RPvC7t27hz1W61Uzbdo0ampqxL9ra2uFKZD8GTo7O+nq6hJjk+TA00TBx8eH9evXc/HiRfR6PadOnaKyspLo6Ogx+a5MmzaNxMREKioquHnzJhs3bhz19xgpct9/U1MT7e3tg26LmDp1Ko8ePSIvL4+1a9eO5SYaMTJqyGuroTh4G3k+CxYsICMjg9raWo4fP86ePXveKDMoAG9vb/Lz84XXypuGUcxOMFQqFVVVVdTV1WFiYsIvfvELbG1tKSsr48mTJ2RnZxtc4G7fvo1SqWTRokWv/MsZFBTE7du3yc3NpaioaFDOv42NjSQmJgpxA393gIVecbVy5cohj4qQF6sDiVlJksjIyBAza2VcXV3x9PTEwcEBU1NTgyybra0tjo6OwkBApru7mzt37pCVlfVC5+S+mJmZYWlpiaWlJaampiL7/jxaW1tpbW19aRZCqVRiamqKmZkZAQEBfPXVV2g0GrRaLVqtVsyTHYimpibMzMyeazJTUVHByZMnDeZQFhQU8PDhQ955551+Y1sUCgXu7u40NTVRU1MjxGxLS4soZ547dy5hYWE4OTnxt7/9jZKSEv793/+dbdu2YWdnh6Oj45idwzk5OZw7d47Ozk4sLCye2389GHp6ejh58iTQe2x37tzJX//6VxFFH06VgoxGo+H8+fPitQcSFjdv3kSj0eDt7T0sV+iCggIhhjdt2oSrq+uwt/dVExgYyM2bN8W/JUmipqYGT09PYX4lSRKXLl0S5ngTcZ5xZGQkZWVlYgZ2YmIipaWlbN++fdRHJikUClavXs13331Hamoq8+bNG3dGKebm5jg5OVFXV0dFRcWgx175+fmhUChobGykubl51MbRGTEylsjfv4aGhkE7eBt5PtbW1uzZs4fvv/+egoICjh07xurVqydUkPNlyJ9lIswOHw5GMTvB6O7u5saNGwAsX75cLFz8/f3x9/dn5cqVVFVVkZqaSnJyMpIkERcXx6NHj1i2bNkrbf729vZm+vTppKenk5mZ+Vwxq9VqycnJEfNS+yJnmW1tbdmyZcuQR+F0dnZSXV0tBH5+fr4QrUqlEhMTE0pLSw2yORYWFnz++edDLgUtKSnh2LFjBqXHlpaWIivZN4Pat3e2rxi+ePEixcXFYnH2rGD18fFhzpw5KJVKWlpa+v20trYK0a3X6+nu7hZZu4aGhn4mQba2tri7uxMWFkZzc7NB3+WcOXP6lUYDFBYW8tNPP6HVarGzsyMqKgroLW1taGjghx9+4KOPPuq3/+SLad9gS2xsLJ2dnbi7u+Pt7c3x48cNssSdnZ0cOnQI6A3keHh4MHXqVKZNmzbsUU99kSSJ69evC/Hm7u4+IrEJvWNs5GDE2rVrcXZ2xt3dnadPnwpDt5G8thyE2LBhQ79yqIaGBjGrd/Xq1UP+rnd1dQmxLAcXJhJubm7CnVKmsbERT09PUa2g1+vJyMgAel17J2p56fr166msrKSurg6lUkllZSV/+9vfWL9+/ag7Vvr4+DB16lSys7OJjY1l7969o/r6o4Gnp+eQxayZmRkeHh5UVFRQVFRERETE2G6kESOjgLx2kKcWvIllo68aT09PduzYwdGjR8nLyyMvLw8fHx8WL16Mt7e3SA5MVORsflNT02vdjrHCKGYnGPfv36e9vR1HR0fmzZvX7+9yBszd3R2FQkFSUhImJiY0NjZy+vRpkpOTWb9+/SvLtkydOpX09HRhLtSXmpoaUlJSSE9PNxiXMWnSJJFB1ev1uLm58d577w2qf7KlpYWcnBxKSkooLy/vZ8jU2toqshkDYW5uzj/90z8NOfObm5vLiRMn0Gq1TJo0iYULFw7ZBbi8vFy4UO/YsQN/f39SUlLIysoSN63S0lLKy8tZuHAhS5YsGdCZWafTodFoxE9nZycPHz5k7969mJmZYWpqiomJCVZWVv1GtdTU1Ij9M5CQLSsrE0I2KCiI7du3i9cICwvj22+/pbGxkUOHDvHxxx8bXPzlMk9ZjNXX14vS287OTpHNBPoJEugtsS8rK6OsrIzY2FhmzZrF0qVLh93Dp9PpOHfunPi8UVFRIy7VrK6uFsfQ2tpaiAr53JWz4sO5KTY0NIjXlgMQzxIfH48kSQQHBw/LGCgmJoaWlhYcHBxYuXLlkJ//ulGpVHh6elJSUiJ+1/ca8GwwJzIycsI6O8rzYL/++msRWGpubub06dPk5uaybt26Ue1vlc2g8vPzKSwsHHfjbDw9PXn06NGQTKCgd6RbRUUFFRUVRjFrZEKgUChwcXERkxOMYnZ0CA4O5qOPPuL27duiv1QOpq9evZr58+e/5i0cPrKYbWtreyOz+UYxO4HQ6XRiMbt06dKXLrrlBXRYWBiOjo7cuXOHsrIyvvrqK5YvX86CBQvGfJtlh9C6ujra2tpQq9VkZmaSmppqkHW0sbFh5syZTJ8+nYMHD4rfW1hY8P7777+wZ0/uF87Ozh6w9Nbe3h47OztKSkpQq9XCkVOr1aLRaHBwcODWrVu0tLSwaNGiIQvZtLQ0zp07J0TEjh07hnyhkCSJy5cvAzBjxgxRhhsZGUlkZCTQK2auXr1KXl4ed+7coaCggJ07d4rRI9B7kzMxMcHExETsMzkz6+Pj89Lt6tvDe/v2bWbMmCEyrC0tLRw7dgytVsvkyZPZtWuXwb6ytrbm/fffZ//+/VRXV3P58mU2bdok/i6LU/m8vX37tni/vmXN06ZNE8EYufxbkiT8/f2ZMmUKWVlZlJWVkZycTHp6Ops2bRpyOW1PTw/Hjh3jyZMnKJVKNm7cOOKFrCRJXLlyRfx78eLFIhMoGxHp9XqysrKG9V4nTpwQ+2vHjh0DPkZ28x1On3xlZaUYx7R58+YJa4Lh5ORkIGZbW1uB/r33CoViws/cc3Fx4a233uLcuXM0NzczdepUcnNzefz4MUVFRaxbt46wsLBREeyTJk1izpw53L9/n5iYGH7xi1+Mq0CAbAJVUVGBJEmD3ja5ZLOurm7Mts2IkdHG3d2dkpISysrKmDFjxuvenDcGT09P3n77bVpbW4mPjxfjIV/UljURsLCwwMrKivb2diorKydsRdLzMIrZCURxcTGtra1YWloOavHed67i5s2bmTFjBpcuXSI3N5fr169TXFw85i6elpaWuLm5UVVVxfHjx8W4Iegt8w0ODmbWrFkEBgaiVCrJyMgwyKT4+voOKGQlSaKoqIiHDx+Sk5NjkHHx9vZm8uTJeHt74+bmhrm5OXV1dfzlL39BqVT2E/FlZWW0tLRgYmIy5BEmd+/eFaW5M2bMYNOmTcNyfU1NTaWyshK1Wk10dPSAj3F0dGTPnj3k5ORw/vx5nj59yldffcXevXtHZd5ka2srWVlZ4t8ajYZz586xd+9edDodx44do62tDRcXF3bs2DGg6Le3t2fbtm388MMPpKamEhAQQFhYGJIkkZeXB/QuHjMzMw0y5PPmzWPZsmX9MsWyS+vp06cpKirC3t6eDz/8kJKSEq5du0ZlZSUnTpygrKyMNWvWDGoB29jYyJEjR6ipqcHU1JRdu3aNimNzXl6eGKGlVCqFUCovL6e9vV1km1NTU4csZjMzM3n69CnQW/79bF9kXwOo0NDQIZmjQe/3ST6Pw8PDJ/SN7tk+J3nf9O3Dh97+2tEoVX/dzJw5k9raWu7du0deXh4bNmwgKSmJqqoqTp06RVZWFuvWrRuVftAlS5aQlpZGdXU1+fn5gy7nfRW4urqiUqno7OykoaFh0P1usrt931YTI0bGO76+viQmJhoE7oyMHjY2Nqxbt45Vq1YhSdKQkxzjDYVCgZ+fH1lZWRQXF0/oe/xATOyj8zMjPz8f6HUHHkwppLygffr0qTAt2r17N2lpaVy+fJknT55w8OBBEdEebTQaDY8ePRKZEbnU2NHRkVmzZjFjxox+ZXByZkvOaD1bFtjR0UFaWhoPHz406L308vIiPDycqVOnDtjrKi9oB7ogyYvcsLCwQY+CkSSJa9euCUfU+fPns2rVqmFlKrq6urh+/ToAy5Yte2FpoEKhYOrUqXh4eHD8+HEqKir44YcfePfdd0c8J1OOQHp4eIhSPdnU6enTp1RUVGBubs7u3btfmLULCAhgyZIl3L59m6tXr+Lk5MSNGzeoqKjAxMSE4OBg/vrXv4rP8/bbbzN58uTnvl5fQStnDjdu3MjHH3/MjRs3uHv3Lvfv36enp4eNGze+8BjU1NRw4MABOjs7henDaJ3/fecqBwcHC2Gek5MD9Bqi5ebmUlpaSm1t7QtHRPWlsbFRmGSZmpr2MyzSarWcPXsWS0tLLCwsnhsMeRGFhYUUFRWhUqlYsWLFkJ8/nuhbqQC9++fp06dcu3bN4PdvUjZj1apVNDY2kpOTw7Vr13j//ffJy8vj1q1b5ObmUlhYyOLFi5k/f/6IFmWWlpbMmjWLe/fukZSUNK7ErDzerqKigqqqqkGLWfl86ejoQKfTvXEupkbeTPpWvQ3FwdvI0JjoIrYvsph9EwMg43twoBEDZHfcwYoWNzc3FAoFbW1tItupUCiYOXMmH374ITY2NqI3dah9Ri+ipaWF69ev8/vf/56LFy+KmY+WlpZ88MEH/OpXv2LhwoX9RFtaWpowT5JNeOTHNDc3c/z4cf7n//yfXLt2TQjZyMhIfvGLX/Dxxx8zd+7c55o2yQ5uz2ZiWltbRWnm3LlzB/X55F5LWchGR0cPy2xH5ubNm3R0dODk5DTobbCzs+P9998XY1mOHz/eb+btUNBqtaKEfeHChQZZnCtXrpCSkgIwaLfUyMhILC0taWtr429/+xv5+fmoVCq2bNlCfn6+CFK8TMjKhIeHs3XrVhQKBampqZw/fx6FQkF0dDTbtm0Tv39WsPSls7OTI0eOCMOpTz/9dNSErNzLK9N3HJV84wgNDRWLf1mUv4yuri7Rowy9oqVvqbhOp+PEiRPCNGvr1q39xNxgkOcMR0ZGit6aicqzAamenh4OHz4sZspCbz/4SI2+xhMKhYJt27bh4eEhTNOmTZvGL37xC3x8fNBoNNy4cYMvv/yS7OzsF44Eexlz5swB4MmTJ+NuNIjsBSFXMQwGc3Nzce0eyTXUiJFXiaWlpSiRlyuCjBh5EbJ2KC8vH9E9YDxiFLMTCLmnZ7AZHVNTU3Fzf1asyot5OXv7008/iTLQ4SKPa/njH/9IfHw8nZ2d2Nvbi8WPhYUFvr6+A4q+vmWO9vb24jFOTk5Ab1ZOFp19KSsro7y8vJ9Z0LPIgYBnR0qkpKSg1+vx9vYelIlCd3c3P/30E2lpaSgUCjZt2jSiMS7V1dU8ePAAgHXr1g0pK6BWq9mzZw9OTk60tbWJntvhkJmZSUdHB7a2toSEhIgSFDs7OyECoqKiXlqO29zczKVLl/jTn/5ksDCcPHkyn3zyCSEhIWKGrYWFxaCErMxAglaSJMLDw9m8eTOAKLV8Fq1Wy/Hjx2lsbMTe3p533313VEtMHz58aPBvPz8/8b5yv6y3t7coY3/06NFLz1mtVsvRo0epra0Fer8XfUclyUI2NzdXnDfDyc5XV1dTXFyMQqGY0AYXMs+WqhcVFdHW1maQuQgLC3ujIu7Qe71/5513cHFxoa2tjYMHD6JWq/nggw/Ytm0b1tbWYn7z/v37efLkybAWNA4ODkRHR7Nv375hBU7GEvkaPtixaNAbCJADIEYxa2QiIZuwyVV7Roy8CCcnJ1QqFRqN5o1zNTaK2QlCT0+PmFM5lDmC8hiQgQYl29jYiBELGo2GI0eOiAzcYJENbb799lv2799PZmYmer0eX19fdu/eza9//WshZtvb25+7eEpLSxMZ3NWrVwvhLpeK9RU9zs7OuLi4oFAoqK6u5uLFi/zpT38iOzv7udspZ8f6Orz2NdSSt/FFtLS08O233/LkyRNMTU3ZvXv3kHts+yKbPkmSxNSpU4flDqpWq9m6dSvQK0iHWz4iH/fIyEiUSqUIIvTNZr0s85yamspf//pXHjx4gEajwdnZWYisxYsX4+bmRkZGhlgw9s1eDpZnBe3FixeRJIkZM2YId++zZ88auGPrdDqOHz9OUVERpqam7NmzZ9Dl5INBp9ORm5sr/m1ra2tgg6/X61Gr1djZ2TF58mRsbGzo6OgweM6z6PV6Tp06ZRBxX716tejHliSJ06dPk5OTg0qlYvv27cPe/sTERKA3c/wmzNl8Vsx2dXVhbW1t4OD+prrWWlpa8t577zFp0iRaWlo4ePAgra2thIeH86tf/YrFixdjampKZWUlP/74IwcOHCAnJ2fIonbhwoViRut4Qg7OygGkwSL7MvS9bhgxMt6RK336VjsZMfI8+o4XetPOlzcrNP0G8+TJE6D3pvsiZ99n8fT0JCUlZUAxC4jex/DwcB49esT58+dpbW1lyZIlL1yodHR0kJKSwoMHD0QJs0qlIiwsjHnz5hlkOeWFfVdXFx0dHQP2dty+fRvonZ/m5+cnxrTIomrhwoX9MqAdHR1kZGRw9+5d4bQ7bdo0Nm3aZNDT2dnZKUpA+86pzcnJERmb0NDQ535W6F0cHT58mNbWVqysrNi7d++I5oVCb3aupKQEExMTVq9ePezX8fDwYPbs2Tx8+JC4uDj27ds3pOfX1tZSVlaGQqEQi3w5YNLW1ib6l+/du0dERES/7DYYGmF5e3uzbNky/P39OX78ONnZ2ZSVlWFubi4eo1QqWbx48bA+r9xDe+rUKR4+fIi5uTnR0dFER0dTWFhIbW0tCQkJYrTMxYsXycvLw8TEhL179476WKqioiK6urowMzOju7vboFevubkZ6M1wKxQKsY/v3LlDSkrKgEZukiRx8eJFsrOzUSgUSJKEh4eHQVlsTEwMWVlZKJVKdu/ejZ+fn+jNHQrd3d1iPNJgS9wnGkqlkrfffpsff/wR6A02jJVPwHhAdhU/cOAAjY2NHDx4kPfffx9bW1tWrFjBvHnziI+P58GDB5SWllJaWoqjoyNRUVFERERM6JENrq6uorWmra1t0KOJ5Hvdm1Z6Z+TNxsfHB3Nzczo6OqioqBgVI0gjbzayiB2OUel45s36NG8oPT09XL16FYBZs2YN6bnyoq2ystIgy/Ysb731FosWLQIgLi6OCxcuDBi5qaqq4uzZs/z+97/n+vXrtLS0YGlpydKlS/ntb3/Lli1b+pXrmpqaCkE70PiD5uZmUfIwf/58cnNz0el0ODs7v7CMzdLSknnz5vGb3/yGRYsWoVAoyMrK4vvvvxdZbIDs7Gz0ej0uLi4GWW3Z+Gn27NkvLO9NS0vj22+/pbW1FWdnZz755JMRC9mOjg7R37l06dIR9ykuXrwYhUJBcXGxKEsdLHJWdsqUKaLnuO+ibuXKlUydOhWAGzdu9Ht+cnKyEKmLFy/mww8/JCAgAIVCIYIRxcXF/Md//IfIvq9YsWJIFQbPEh4ezsaNG4FeIX3v3j1MTEyEedH9+/fp7OyksLCQ1NRUFAoFu3btEuW/o0lhYSHwdyOZvsdSNh7rO7NXzuYXFhaKnvW+xMXFiWMiL7KXLVsm/v/evXsim7ply5YhlWo/S1ZWFlqtFicnpzdmISQbzsmEh4djYWEhsm6zZs0adxnF0cbW1pb3338fOzs76uvr+e6778Q11srKijVr1vCb3/yGhQsXYm5uTkNDA5cuXTK4rk9E+t5rBvpuPQ+jmDUyEVGpVKL150WVaUaMyMjr+jftHmgUsxOAjIwMmpubsbOzY8mSJUN6rouLC5aWlvT09Ag34YFQKBSsXLmSdevWAb0C59ixY2g0GvR6PY8fP+bAgQP87W9/Iy0tDa1Wi7u7O5s3b+Z3v/vdS1145cV83xEiMrKoVCgUREZGih7Swc5HNDExYeXKlXzwwQdYWFhQWVnJgQMHxKI2IyMD+HtGD3pFeWlpKUqlUsxxfRaNRsPZs2c5e/YsGo2GwMBAPvroo1ExyLl27RodHR24uLiMSp+inZ2dKNuV999g0Gq1YkRO35LptLQ0oHffRkVFsWLFChQKBbm5ucTFxaHRaNDpdOTl5XHp0iWgd2yH/DgZWRwXFxcbBEdG4zPPmjVLOPteu3aNwsJCpkyZgrOzMxqNhsePH3Px4kWgt4x8JKLvRcj96PL5/7L5rA4ODmJb+jogQ+93Qa5S8Pf3F+7S8oIlKyuLmJgYoNd4rO85PRzk4xwREfFG3NwkSSIuLs7gd35+fuIaAEMPCE5U7O3t+eCDD3BwcKCpqYnvvvvOQODZ2toSHR3N7373O9auXYu9vT2dnZ3Ex8fzxz/+kVOnTj23omc807fEf7DI4+ImclbayM8TubonPT39hQkLI0bg79c4+Zr3pmAUsxMAucR41qxZL10oP4tCoRB9FQMZKD3L3Llz2bVrFyqVitzcXP785z/zhz/8gePHj1NSUoJSqWTatGl89NFHfPrpp0RERAzKSEXOlA4keOXZpq6urlRWVlJZWYlKpTIwuxkMPj4+fPzxxyIbcfDgQYqLi0XfYVhYmHis7Cb7vFE+T58+Zf/+/WKxv2zZMvbu3duvH284lJSUiNfdsGHDqI2CkPfX48ePB51hyM3NpaOjAxsbGyGYysvLxTnn6OgoemjlQMqtW7f4f/6f/4d/+7d/48SJE0iSREREBMuWLev3+vLNVaPRiPJyExOTUStxmT9/PhEREaKHtKenR5SMJyQk0NDQgI2NDcuXLx+V93sWSZKEc6psKNV338vny7PGMnIVxKNHj0QWLCsrS5h4zZ07V/Q/y1nZ4uJiTp8+DfSK82fnJQ+V+vp6UV4uz8SdyEiSxJUrV4Szs4y1tbX4vjk6Oj7X8fxNRJ7L7OTkREtLCwcOHOg3T1WtVjNv3jx+/etfs3v3bnx9fdHr9WRkZLB//36+/fZbHj9+PGF6rOS+78GKWUmSXnh/MmJkPDN58mSsrKxob283GkEZeSkvqpKcyBjF7ASgq6sLYNiLMDl7k56eTnd39wsfK0kSNjY2woyopaWF1tZWLCwsWLx4Mf/4j//Ijh078Pb2HnQmR5IksZh/tl+2vr5e9BVOmTJFLOZnzZo1rLlpkyZNYt++fdja2lJXV8eJEyfEa/fNqMqloc/2LHZ1dRETE8PXX39NTU0NVlZWvP/++yxdunRUBJhWq+XChQtAr/gczdJOf39/TExMaG9vH/TIDFnUR0REoFQqkSRJlLQDBv2fy5YtY/PmzeI81Ol0aDQavLy82LBhAwqFgszMTL7++mvOnj1LfHw89+/fF8+Xs6harfal5+FgUSgUvPXWWzg6OtLW1sbNmzeFKJf3wbp160YlCDEQnZ2dIsIp75e+EU/5d8+Wvvr4+ODj4yN6kQsLCzl16hTQK1QbGxvR6/UEBQURFBRETU0NR48eRafTERISwtq1a0ecSZUFXlBQ0IQXeHq9njNnzogqj76oVCoxmut5VRhvMjY2NnzwwQe4urrS1tbGgQMHBjRIUiqVhISE8MEHH/DZZ58xffp0lEolZWVlHD9+nC+++IKEhIRxH9Efama2o6NDOIsbxayRiYZKpRIzs2VDSyNGnofcBjiU8WUTAaOYnQDIDo2pqanDKiPx9/fHycmJnp4esYB9ls7OThITE/nyyy/55ptvRIRPFnBKpZLp06cPa5xJTU0NkiRhYmLSz0W27+KzqamJ2tpaLC0tR5RJc3BwYN++fZiamooezaioKPH3trY2EZWSeyg7Ozu5desWf/zjH7l37x6SJDFt2jR++ctfGphGjZSEhATq6uqwsrISBkWjhUqlElmJwfS8NTU1iQysXGJcVFREeXm5EErP9j9HRETwu9/9ziDLPWfOHNra2khKSuLMmTNUVlaSlpbG9evXxYIyICCAGTNmiADFUPt6X4Spqakoj3/48KHBgtTV1VX0+44Fski1tLQU/cF9Awm2trYoFAo0Gk0/QSsbYD148IAjR46g1+sJDQ3F09OT/Px8lEola9asobW1lUOHDtHV1YW3tzfbtm0bcWBFr9fz6NEjYOI7+2q1Wo4dO0Z6ejoKhaKfIJE/p1KpfGNNrl6GlZUV+/btE3NoDx48+ELHX3d3d7Zu3cpvf/tbFi9ejKWlJc3NzVy7do0//vGP3L17d9yKWvkeM9iAmTzGx9HR0VhmbGRCEhkZiUKh4MmTJ/3GMBox0hd5Df+mObcbxewEYN68eZiamlJWVsbXX39NbGwst27dory8HL1ej1arfWFZqUKhEIu4e/fuCUHc3d0tHFD//Oc/c/XqVWprazExMWHGjBl89NFH/OY3v8HFxYX29nZ++OEHHjx4wLVr14YkqmVh7OfnZ1BS293dLTKD8PdF59q1a4fk2DwQjo6OwmDI0tJSzE0FRO+wi4sL5eXlnDx5kn//938nLi6Orq4unJycePvtt9mxY8eoRuobGhpEP+SaNWtG/BkHQi5DH6g3+Vnk/e3v7y/Mi+QZsLJY6rvfZLq6ukRmG3pnAP/hD3/g8uXL6HQ6XF1dmTdvHmFhYSKzK5f+ypno0S6HCgwMxN3dHa1WS1ZWljjP+o5iGgv6VhzIn7Wurk58H01NTYX7s+yo3XebnZycRIbb39+f6Ohorly5AvQag1lbW3P48GFaWlqYNGkSe/bsGZUFd2Fhoai4kNsQJiLt7e0cPHhQzNrdunWrgfmbjY2NaK949vrzc8PCwoL33nsPT0/PQQla6N1/K1as4Le//S0bN27E0dGRjo4OYmNjx62olb8fg7kGwt8zFHLQ2IiRiYaDg4OowJPv4UaMDIS8tnvT+quNo3kmAHZ2duzevZtjx45RXV0tIslxcXFidIeJiQkuLi64u7vj4+ODr6+vyNLJc1/Nzc1pbm7mp59+QqfTUVZWhiRJTJ8+HZ1Oh7u7O7NmzSIsLMygLFMe81BXVyfMfszNzQc9WkUWLs8umlNTU/stOCIiIkZsagO92Vc5+2djY4NCoUCr1VJWVkZCQgLQmzE+fPiweI6rqyuLFi0iNDR01G3L5XErOp2OgIAAg8zmaCJnol9Woi1JkoH5D/SKreLiYhQKBTqdDmtr6wHLoGXzqkmTJuHi4kJeXp5wi545cyaRkZFCNPzpT38C/u70GxISQk5ODllZWQYOvSNFoVAwa9YsLl68SGZmprhQP5tZHkvkubodHR3U19eLTK23tzfV1dWUlpYajIDSaDQie6RQKNiyZQsXLlygq6sLd3d3Zs+ezeHDh6mursba2pp333131Objysc+PDx8UD3v45G6ujoOHz5MY2MjZmZm7NmzR0Sb5XFSpqamIiM+kvFXbwrm5ua8++67/PDDD1RWVnLw4EH27dv30nFVpqamzJo1i4iICNLT07l9+zaNjY3ExsaSkJDAwoULiYyMHLKnw1gwXDE72iO7jBh5lSxatIj09HRycnKorKwc8cQFI28m8hriWR+Pic7EXMX8DAkMDOQ3v/kNmZmZZGdnC3MYOQOk1WqFedLDhw+B3pu6SqWip6fHwLxDLi2Fv/dEfvjhh8/NYllZWfHuu+/y5ZdfisX3zZs3iYyMfGl2Ua/Xi7KXvuW6er3eoJ8SesXAW2+99fKdMQji4+PFZ5Zn0Obn54veKBlbW1umTJlCREQE7u7uY+bompKSQmFhISqVivXr14/J+2i1WpGVelkPZFFREU1NTZiZmYkyXHnci6WlJe3t7cyYMaPfdpaUlIhs+qZNm/Dx8UGn06FQKPoFADQajSi5lbOTU6ZMQa1WU19fT0FBwag6DE+dOpVLly4ZZJvGetxM35EeJiYm+Pj4UFRURGFhoRCzvr6+JCcnG7iJS5IkZjrLAanLly+Tn5+PSqVi9erV/Pjjj1RVVWFubs7evXtHxUUbegM98hiHvg7WE4mioiKOHTtGV1cX9vb27N27F2dnZ86dOwf8/bjI5fa2trZGsfL/Y25uznvvvScE7Q8//MBHH300qFFZSqWSiIgIpk+fbiBqr127RkJCAgsWLGDOnDmvtVxXDs48e60fCEmSKCoqAgauQjFiZKLg7OxMeHg4GRkZxMTEsG/fvjfCod7I6CJXGz7b9jTRMZYZTyCsrKyYO3eu6Pd80QxW6BUTXV1dBnOl5Iubr68v//AP/8Bnn30GvDwqbWdnZ+BWK0kSZ86cealrbl1dHVqtFrVabWAmlJubS1NTk9geeQ7oaCyCGhsbDcbTdHZ2kp2djVarNchYfvDBB/z2t7/lrbfewsPDY8wu/I2NjWKcysqVK0c0X/VFVFZWotfrsbKyeqmYlYVreHg4pqamdHZ2kpubC/Rmd5VKJfPmzTN4jlar5fz580CvQZePjw/Q26s7UCZbzoxbWlqK/W5ubi5Go8TFxY3qXEcrK6t+0eixKOXuixzllIMIsnFa35l/8iK5qqpKlGQmJyeTmZmJQqEQrsRyyf/ChQu5cOECVVVVotdxNDPMqamp6PV6vLy8JmRp5cOHD/nxxx/p6urCy8uLTz75BGdnZyRJEoE6OTMvC5qROj+/aciC1s3Njfb2dn788UdR1TEYZFH7n/7Tf2LTpk3Y29vT3t4uemrv3bs36MzoaCMf88FUHFRVVdHR0YFarR7zlgQjRsaalStXYmJiQklJibifGzHSlze1zNgoZicYer1eLDo+/PBDdu/ezbRp03BycsLa2hpHR0e8vLyYPn06s2bNYtq0aXh6eqJSqZAkSYiHkpISDhw4INyDB9P3JM+Khd4vhDxj9EWCRM6Subq6GojFe/fuAX/PLEuSNKL+VL1eT1FREefPn+cvf/lLvzES06ZN47PPPhPjZTw8PPD19R3zyKVer+fs2bP09PTg4+PTTyCOJrKA8vf3f+Hnevr0Kfn5+SgUCjHvNScnB51OJ4IJ4eHh/QTxnTt3qK+vx9raWjgTvwh5BIiLi4vB9ixYsAC1Wk1lZSUpKSlD+5Av4VUvSOVS/q6uLrq7u0WJfHFxsXDQtbGxwdzcHEmSaGpqorKyUjhGr1q1isWLF4sbjL29PY8ePaK+vh47Ozs+/PDDURWcer1eVG5MNGdf2Qn8woUL6PV6wsLC2LdvnwiUlJeX09LS0k/EmJmZ/WyNn16Eubk577zzDvb29jQ2NnLo0KEhu4yrVCpmzpzJr371KwNRGxMT89pErfx+gwmMZmZmAr1BqJ9zP7WRNwM7OztxT79y5cq462c38vrJy8sD3ry2CmOZ8QRDdqxtbm6mpKSEsLAwQkJCXvo8nU5HZWUlJSUlJCYm0t7eTkdHB+np6UyfPp0//OEPeHt7M3nyZIKCgnBycuoniORyLOgt3ywpKSE5ORmNRsOGDRsGjIQPZK5RUlJiYIZjaWlJR0cHJSUlTJkyZUj7o7q6mkePHpGRkWFg/AK9/Znd3d0UFRXh5OSEu7u76Pkdjb7cwXDjxg1KSkowNTVly5Yto96LK6PT6cS83hf140qSxPXr14FegS9nieUorkajQaVS9ZsZW1NTQ3x8PNBr0DWYUTdyIEMuMZaxsbFh2bJlxMTEEBMTg7+//6hlq/tm/2HsB4ObmZlhbW1NW1sbT58+xc/Pj4CAAAoLC3nw4IHo07S3t6eqqorq6mpu3rwpRuxERUURExMjgi+y+/OkSZN47733hFgeLfLz82lubsbCwqLfWKrxTGtrK8eOHaO8vByA5cuXs3jxYoNrlGxoNmnSJOErAPR7nJG/I/dif/vttzx9+pTjx4/z9ttvD1nYyaJ2+vTpPHr0iDt37tDU1ERMTIzoqZ09e/YrKT8erJjt6+7/JsxZNmIEentnMzIyaGpq4vr168Lp34iRp0+fimC2PM7pTcGYmZ2AyCdhbGzsoEvDVCoV3t7eLFq0iN/85jciKiOLEjmzGRMTw1//+lf+5//8n/z000/cuXOH3Nxc6uvrDXptTU1N2bRpEwqFgkePHrF//36DBaSMLGblMsmenh6OHj0q/r5hwwaxqJbLLAdDd3c3x48f5z/+4z+4d+8ebW1tmJubC1Hk7+/P7t27heFOcXEx1dXVYuzMWBkw9SUzM5O7d+8Cvf2lLysLHwlZWVm0trZiZWVFYGDgcx+Xl5fHkydPUKlUYvyRTqczOLYLFiww6M/U6/WcP38evV5PcHCwgYnRi5CP/UBGFPPmzcPHx4eenh6OHz8+aqLzWYOkVzEYXC4jlvvY5ex7cnKy+H7Kx/7UqVM0NjZib2/Ppk2bKCwsFCXffdm3b9+oC1l5m6DX9GuiGD+VlZXx1VdfUV5ejpmZGXv37mXJkiUGAlV2sQbDkSxqtdpYYvwSJk2axN69ezE1NeXJkyecPXt22OX/KpWKWbNm8atf/YoNGzZgZ2dHW1sbV69e5YsvvuD+/ftjnqmVv3MvazFITk6mo6MDe3v7IQdRjRgZr6jVajZs2AD0jj7s69Vg5OdLT08Pp0+fFmMnX7ROnIgYxewEZMGCBTg4ONDc3MyhQ4eG1OsEvRe7vXv3YmNjQ1dXFwCffPIJa9asISAgABMTEzo7O8nLy+PGjRscOXKEP//5zwbuZwUFBdTW1jJr1izUajXV1dV89dVXnDx5koKCAtrb22lvb6eiogLoFRn379/n97//vXAcXbZsGTNmzBDiKDs7e1CiRpIkjh49yuPHj1EoFEydOpXdu3fz4YcfitLOFStWAH83nSovLxeZxdDQ0FEduTMQhYWFnDlzBug9XmMpniVJEp9t3rx5zxUpnZ2dXLx4EYD58+cL4V9WVib6zFxdXUUptkxcXJwQEm+99dagslx6vb5fIKMvSqWS7du3Y2lpSVVVFceOHRuVHo5nF8qvIhMkzyqWgzGTJ0/G3d0djUYjxiT0zRjLn12r1YpzpK8Il7O9o01jYyMFBQXAxCgxliSJpKQkDhw4QFtbG87Oznz22WcDmoY9fvyYrq4urKysRHYbGFXH7DcZT09Pdu3ahVKpJCMjg2vXro3o9VQqFbNnz+bXv/61gai9cuWKELWDMWgaDvLxf5FhWmtrK7du3QJgyZIlY1YxY8TI6yAwMFBMKTh9+rRY5xn5edLU1MQPP/xAbW0tVlZWb2S2fmKE5o0YYGZmxttvv82BAwd4+vQpX3/9NVu3bh2SG6OtrS179+7lwIEDQG8Eb9OmTURFRaHT6Xj69CllZWVUVlaKvqJnkfteZfR6PZmZmQM+/siRI/1+FxcXR1xcHFZWVqhUKrq7uzl16hRz5szB3d39uWNIioqKKCoqQqVS8eGHH+Lp6Qn0Zr0kSWLy5Mmid9LR0REbGxtaW1vFdo1l3yr0zrE9cuQIOp2OqVOnsnLlyjF9v/T0dGprazEzM2POnDnPfdylS5dobW1l0qRJYqySJEnExsYCvSZc27ZtMxDDeXl5QpDJi9LBUF9fj0ajwdTUVLj6PoutrS1vv/0233//PU+ePOHo0aPs3LlzRAK077mnVCqF0BxLQkNDuXz5sigjdnV1ZeXKlfz4448kJSUREREhXJ2hd8awi4sL3333HW1tbZiamtLR0SHGyXR3d4+60zMgyosCAwPHzIRstGhra+Ps2bNCfIeGhrJ58+YBR79IkiQqIBwdHQ2Ce1FRUa9mg98AgoKC2LRpE2fOnOHevXvY2NiI/rvhIovaiIgIUlNTuXPnDi0tLVy5coW7d++yaNEiZs2aNapVAvX19cDzDRL1ej2nTp2ip6cHT09Pseg3YuRNYs2aNRQXF9PU1MS5c+fYuXOnMbD3hiNJEm1tbdTX11NfX09DQwM1NTUUFhai1+sxNzdnz549Lx3dOBExitkJirOzMx999BGHDh2isbGRAwcOMHXqVCIiIvD39x+UIHBzc2Pz5s3k5eWRnp6Oo6OjEDlqtRqlUilMfGQ8PDxYsGABLS0ttLS00NraSktLC21tbXR0dNDT0/PSEjWVSiVGBgEGi8/c3FzRv+ni4iJm5vr6+gpDosePHwO9Y0VkIVtbW0tGRgaAKJ+FXoHm5eUlzJE8PDzG1CQoMzOTM2fOoNPpCAwMZNu2bWMa9ddqtdy8eRPo7ZV5US+rPPZlx44dqNVq0T8rZ89nzpxp0N9aXFzM8ePHxd+Gkl3u2yv9os/v5eXF7t27OXr0KPn5+Xz//ffs3LlzWCW2fd1soXfR+ipu3paWlkyZMoXs7GySkpLYuHEjgYGBhIaG8vjxY44fP24gZj09PTl58iRVVVWoVCo0Gg1mZmZ88MEHpKenc+/ePeLj40dVzOr1etLT0wGYPXv2qL3uWJCdnc358+fp7OxEpVIRHR3NvHnznnss8/PzqampQa1Wi55aeLkRmpH+zJgxg7a2NmJjY4mJicHa2npU/AVUKhWRkZFERESQlpYmRO3ly5eJj48fNVGr1+tFr/5AFSF6vZ4LFy5QXFyMqakpmzdvNp4jRt5IzM3N2bFjB99++624N411IN/I6CNJEu3t7dTV1VFfX09dXR3Nzc1oNBq0Wi1arVZMLuno6HhuG4efnx8bNmzo5yvypjCiO8e//du/8S//8i/84z/+I3/4wx+A3h3/f/1f/xdfffUVjY2NzJs3j7/85S8GZiO5ubl89NFHlJSU8Nlnn/Gv//qv4m+pqan8t//230hKSqKlpQU3NzfxGs/L8PxcmTRpEr/4xS+4evUqqampZGdnk52djYmJCW5ubri7u+Ph4YG7uzsODg4GWQ1Jkujo6DBYPNy4cYOEhAS6u7sNBKmJiQnW1tY0NTUxe/bslxrHaLVaWlpaKC8v5/Tp0ygUChwdHamvr8fJyYmPP/5YuLt2dnbS3NxMfX0958+fp6enBysrK9rb26mpqaGmpkb0+bm4uBASEiJKifueD3L2MCQkpN8iprm5Wfz/ixbFI0Gn03Hz5k2RIXJxccHZ2ZnY2Fisra1xdXXF3d191MtHk5KSaG5uxtbWdsAblSRJBhn0DRs24Obmhl6vJyYmxmDWb9/nV1ZW8tNP/197/x0c1Zkv+P/vbqkVWijnnAUSQkLknHOwEdlgnH09M75bM7X37s6Wb21dl2uu596t2q3ZUGOP8Rgb22Qw2SSDyCIJIUBCCBDKQjmnDuf3h359vjQIkISEgj+vKhWowzlP99OndT7neZ7PZytGo5GYmBgWL17cpXZZagt3pqRMVFQUGzZsYOvWrRQVFfHll1+yYMECEhISutRXlgRAFra2tiiK8kpOVidMmEBWVhY3btxgxowZODs7M3/+fLKzs60CWYC9e/dSUVGBRqPBZDJhY2PDG2+8gZ+fH05OTuo6p7y8vB6rffnw4UPq6+txcHDo8RHfntLa2sqRI0fUpDx+fn4kJyc/lUDscY9PsXd3d7dat9/fg/b+atKkSdTX13Pp0iX27t2Lk5OTWnLqZdna2qpB7fXr1zl37pwa1FpGapOSkrod1JaWlmI0GrG3t39q9kFLSwv79+8nKysLjUbDsmXL8Pb27omXJUS/FBgYyJw5czh27BhHjx7Fy8tr0K2VHOgMBgNVVVXU1tZSV1en/vv4/7uyBEuj0eDm5oanpyceHh54enoSFhb23L+jXdFf475uB7NXrlzhq6++eioL4P/4H/+D//W//hfffvstMTEx/OlPf2Lu3LlkZ2erI2sff/wxGzZsYOzYsfzmN79h9uzZTJ48mbKyMubMmcPSpUs5evQobm5u5Obmsn//fqv1muL/Y29vr04Pvnr1KtnZ2Wog+fgoBbRfqdPpdGoQaTKZ0Gq1Vn1oWVuh0+kIDAxk2LBhJCQksH//fmpqajp1UNna2uLh4YGrqyv79u3DbDZTWVmJXq9n3bp16uihRqNBr9ej1+vx9/enubmZw4cPYzKZ+O1vf0tlZSV5eXnk5eVRWlqqBrcWmZmZeHt74+zsrE4vfXK9J/x/gRXQIxlcFUWhsLCQ3NxcKisrKSkpobKy0qoc0JNttRgyZAj+/v4EBwcTGhpKQEBAt0/cmpub1SB+5syZT43Gm0wmjh49yrVr10hISGD69OmMHDmSlpYW9u3bZ5VwS6/Xqyd2ZWVl/PDDD7S1tREWFsaqVau6nN30ecmfOhISEsI//MM/sHv3boqKiti7dy9XrlxhypQpxMTEvHB0Oy8vj3379qm/Ozg40NLSQl5enrpuujeFhIQQHBxMQUEBqampzJ49m/Pnz6vHi0ajYfHixRw8eFBNSmUJtFesWKEGrc7OziQmJpKWlsa5c+d6LJi1BPrx8fH9MvFTfn4+P/30k7recfLkycycOfOFn7vc3FwKCgqwsbF5KgGdpQ6y6BqNRsP8+fNpaGjg9u3b7Nixg/fff79HAz9bW1vGjh1LUlKS1fTjw4cPc+7cOUaNGkViYuJz1712JCcnB7AelVcUhczMTE6cOEFNTQ1arZbk5OROJ7ITYiCbMGGCWvVh586dfPDBBzIw1EdaWlooLS2lpKRE/beiouKFsxkfD1A9PT1xd3fH3t4eW1tb9cfR0RFHR0dcXV17rcxYf477unVW09DQwPr169m4cSN/+tOf1NsVReEvf/kL//Iv/8Ly5csB+O677/D19WXLli189NFHQPtiZEsa/4CAAHXk7MKFC9TV1fH111+rJ1zh4eFqMh/xbD4+PixatIiFCxeqAVZxcbF60LS2ttLS0vJUIgDLuqKpU6dSUlKi1qCKjY1l6dKlaj9YMkNakjd1Rl5enlWAt2bNmudm9B09ejRpaWmUlpZy+vRpVq1aRWxsrLrfnJwc7ty5Q3Z2Nmazmfz8fL7//nt1BC4wMPC5tbM8PDxe+iDPy8vj6NGjarD2pCeviul0OmprayktLaWiooKGhgZycnLUky5bW1uCgoIIDw8nIiKCgICATk9LPnfuHC0tLfj4+Dz15VJWVsbevXspKSlRtzdhwgTu3bvHwYMHqa2txcbGhmHDhnH79m215m51dTXff/89zc3NBAYGsnbt2i4HP48nf+psMAvtn8V3332XixcvcvbsWYqKiti+fTsuLi4MHz6cqKgoAgIC1IshRqORkpIS0tPTuX79urqdSZMm8eDBA0pLS7l+/forCWahfZr31q1buXz5MsXFxTx8+BBon0FRWVnJwYMHn3rOokWL1M+4xeTJk7l+/Tr37t2jtLT0pevMtrW1qdPs+1s6fpPJREpKCufPn0dRFFxdXTu9/l9RFDWJj62trdWFNi8vr6fqJIvOs4xc1tfXk5+fz5YtW3j//fd7fGbJ40Gt5QJOXV2dmk8hLCyMxMREYmNjreqcP4vlezU6OhqDwUBmZqZ6PEJ7Hc6VK1e+8nrUQvQVjUbDkiVLqKqqoqCggK1bt/LBBx+8MNu3eHkFBQWUlJSoP0/O0rJwcHDAzc0NFxcXXFxccHV1tfrXxcWlz+tg9/e4r1vB7Mcff8zixYuZM2eO1YvKzc2ltLRUra0I7SOH06dP58KFC+qL+uyzz5g7dy7Nzc0sWbKE+fPnA+3TyoxGIz/99BMrV66UtSzdoNFo8PLywsvLy2qtU0tLC3V1dZjNZhRFUUdEoT0x0OTJk9HpdFy5coWff/6ZjIwMqqurWbFiBa6urmoA0ZlgtqCggDNnzqjJWyxeFBRptVpee+01Nm7cSGZmJunp6WpyDkdHRxISEkhISCA1NZWjR4/i4uJCW1ubGqAXFRXxP//n/yQ6OprIyEgiIiLUKcnQns3VkqCnKxRFobi4mEuXLqnrcjUajdXVNG9vb4YNG4aPjw+urq44Ozvj7Oxs9QXU1tbGo0ePKC4uVqeRNjY28vDhQx4+fMipU6dwcHAgPDycyMhIYmJinnlCXlVVpU4RnjNnjhqw1tbWkpKSwo0bN1AUBQcHBxYvXsz9+/fZtm2bWivY3d2dFStWqOttQ0NDaWxs5IcffqChoQEfHx/Wr1/fqRPIjtpmSf7U1fUZNjY2TJkyhZEjR5Kamsq1a9eoq6vj4sWL6nRpOzs7bGxsaGlp6fCK5pgxY2hsbKS0tJSbN28yefLkV1IgPDo6Gj8/P0pLS3n48CG2trYsX76cgIAAdTrO42JiYjrMKuzh4cHw4cO5desW586dY+XKlS/Vrps3b2IwGPDw8FDXmPcH5eXl/PTTT+qFj8TExE7XMIb2qdOWshOPl+MBXknir8HO1taWNWvW8Pe//52qqiq2bdvG22+/3SsZwm1tbRk3bhyjRo0iMzOTGzdu8ODBA/W78eDBg0RGRhIbG0t4eDguLi5PnR/U1taq6/9v377N0aNH1bwMOp2OyZMnM3HixA6TiAkxmFmO5Y0bN1JVVcWPP/7Ihg0buvX3XXTMaDSSl5dHTk4O+fn5+Pr68uOPP1oN6ED7BTV/f391KaC/v/+AuPDa3+O+Lgez27ZtIy0tjStXrjx1nyXxwpMnjr6+vmoNRmgfjSgvL6eurs5q6tKECRP45JNPWLduHb/5zW8YN24cs2bN4q233nolJ6ODmYODQ4cniU8uFh87diweHh7s3LmTgoICvvjiCxYvXqwekE+eNFpYku+cP39eHZHSarWMHTuWqqoqcnJyOH78OG+//fZz2+nv78+MGTM4deoUhw8fJigo6KkpMZbRPq1Wy+uvv8727dvVqRZNTU3cuHFDnVb55Drhb775htWrVz9z3cjja3Uf/3myZNCTQVR5eTnl5eVPbU+v1+Pi4qIGt87Ozri4uJCUlMS8efNoa2sjLy+PBw8ekJubS0tLi7r2GdqnSsbFxREbG4uLi4u6b8t07IiICKKioiguLubKlSvcvHlTHaEaOnQokZGRXLlyBQ8PD/Ly8rCxsWHs2LHMmDEDW1tbNRgICAjgxx9/pKqqCldXV958881uX7ltaGgA2r+0u5v8asiQIcyZM4fp06dz7949srKyyM/Pp7a21qovHBwciIqKorGxkdzcXCIiInB3d+e1116jvr5ereP6+uuvd6sdXVFYWGhVFmbZsmUEBgaya9euDh9///59MjMzO5zuOHnyZG7dukVmZiZVVVXdzj5sMpnUNaVjxozpFxcIFUXhypUrHD9+HKPRiKOjI0uWLOnytE/LqKyFjY0Ntra2tLa2EhMT05NN/tWyLA35+9//TlFREQcOHCA5ObnXPke2trbqRcva2loyMjK4ceMGlZWV3L17V505ZG9vj6enJ46OjhiNRlpaWqy+fx88eAC0l+dJSkpi1KhRvV6OTYj+zMnJSa1gUVRUxJYtW1i/fr1c3HkJbW1t3L17l8zMTO7du6eeT2u1Wnx9fRkyZAiBgYEEBAQQEBCAn5/fM6t09GcDIe7rUjBbUFDA73//e44dO/bcq+dP/qHrKAmLvb19h2tw/u3f/o3//J//MydPniQ1NZUvv/ySzz//nDNnzrwwq6LBYOj1guyDjeX9evx9CwkJ4b333uPAgQMUFxezd+9eXFxc0Gq13LhxA51OR3h4OAaDgaamJsrLy7l//z51dXVA+wlJfHw8EydOxN3dnbq6OnJzc8nPz6ekpOSF6zXGjx/Pw4cPycvLY/fu3WzYsMFqNECr1aLVajEajeTk5KDVaklMTGTOnDkUFBSopXvKysowGo1WAZXRaGTLli04ODjg4uKCnZ0dZrOZpqYmGhsbn/n5eVZQ5u7ujqenJzqdDpPJRFNTE/X19TQ0NGAymdSp3R2tn4X2YMzLywtvb2+mT5+OVqulrq6OvLw8iouL1bXPx44dIzAwkJCQEOrr68nNzUWn0+Hh4cHGjRut1gt6enoyZMgQcnNz1ffHw8ODESNGMGXKFDVTcH5+PiaTCScnJ06dOsWjR48YMmQIb7zxBg4ODt0+lhobG9FqtS+1jcdFRUURFRUFtP/xqK+vV0edLSnmN27cqK7/tuzTzc0NrVZLRkYGU6dO7bWrn2azmWvXrpGSkoLJZMLR0ZHW1lbOnDlDQ0MDLS0t2NvbYzab1QsN/v7+lJSUsGfPHmpraxk9erTVd6SnpyfR0dHcv3+fc+fOvbAuXEfHMUBqaip1dXXqWty+/n5saGjg0KFD6gyByMhIFi9ezJAhQ7rUtvz8fAoKCqyOy+nTp6ulvoKDg/v8tfa0Z/Vxb3NxcWHFihVs3bqV27dvExwc/ErK2ej1eiZMmMD48eOpqKhQg9ny8nIMBoN6EvU4rVaLp6cnI0aMIDw8HB8fH/W4Ggifh77qY/Hq9GUfu7u7s27dOrZs2UJhYSFbt25VqxuIzqmtrSUvL4979+7x4MEDq3rZzs7OREZGEhYWxsOHD/noo4+emsnSn47tzrSlv8d96v6VF608fszevXtJTk62mjppMpnQaDRotVqys7OJiooiLS2NpKQk9TGvv/46bm5ufPfdd53dlaqtrY2kpCTGjBnzzOfX1dXh6urKli1bBuRVDyGEEEIIIYR4FZqamli3bp1aEaMj/TXue1KXRmZnz56trhm0ePfddxk2bBh//OMfiYiIwM/Pj+PHj6svqq2tjdOnT/Mf//EfXdmVys7OjsjISKtapM8yb968Z3aI6JjBYOD48ePMnTv3mWuhLMmXCgsLycvLo66uTp1m6+/vT1BQEEFBQURERDxzG7m5uWzfvh2A5ORkhg4d+sK2WZIVmM1mJk6cyNSpU/n555/Vz+DcuXM5fvw4AL///e+fmhb7zTffUFZWxqJFi9QESW1tbTx48EAtmWI5KO3t7bGzs6O1tZWGhgar1wjtU3QiIyOJjIwkPDy8R65kGo1GtW5YWVmZOlW5vr6+29vU6/X4+fkREBBAdHQ0Pj4+GI3GDvv4xx9/pKCgQP191apVPZK2/+HDh2zbtg1vb2/ef//9l97ei5w+fZqLFy8SExOjJiCwKC4uZvPmzQD87ne/67Hvh7y8PM6ePatmDLesETEajZw/f95qOr6Liwt1dXV4enry5ptvcurUKbXma0JCArdu3cJsNuPh4cGyZcusUuj/8MMPFBYWMnbsWGbPnv3M9nR0HB86dIibN28SEBDAhg0b+myKsaIopKamqtOCfX19Wbp0abczal66dEld6w3t30ErV67kr3/9KyaTibfeeqtLiccGis58V/cmRVHYuXMnDx48wMfHh7feeqtfZMY2m8188803VFRUMHXqVCZPntzXTeq2vu5j0fv6Sx8/evSIHTt20NjYiJubGytXrvzVZzmur68nLy+P/Px8SktLKS8vf2pJmUajISAggLCwMGJiYqxmf1j0lz5+Ectsyufp73GfRZf+Ejk7OxMfH291m5OTE56enurtf/jDH/j888+Jjo4mOjqazz//XF138yIHDx5k27ZtrF27lpiYGBRF4cCBAxw+fJhNmza98Pk6na5ff3D6s+e9dzqdjtGjR6t1G1tbW/n555+5ceMGpaWlzJw584VBUExMDKNGjeLq1av89NNPzJkzh3Hjxj03Q1tERASLFy9m37596lrcoqIiNBoNEydOJCIiArPZjL29Pc7OzlZfKDU1NZSWlqLRaIiNjVVfm06nY8SIEVZTFyy1bG/cuGG1HtPHx4ehQ4cydOhQAgICejwY0Ol06oWAxzU3N1NWVkZFRQXNzc20tLSomYZv374NtF8QCAgIoLm5GUVRsLOzw9nZGb1e/1Q7Lb8/3scGg4GCggJ1LfSMGTMYNmxYj7wuvV6P2Wymubm5149HRVHIysrCbDYzfPjwp/an1WrV1/jFF1+wYMGCDpMudVZ+fj6nTp1S14Vb6mZ6e3uTmpqqrtvz8/PDzs6O/Px8ampqcHJyYv369bi4uLB06VLMZjMZGRnqFOjr169TUVHBt99+y7x589T1rVOmTGHLli2kpaUxbdq0F848sfRxQUGBum58wYIFfTaNrK2tjf3796uf21GjRrFo0aJuZ2ZMT0/nl19+UX/X6/W8++67nDlzBoPBQFBQUI+VM+qv+vLv3Ouvv84XX3xBaWkp586dY+7cuX3SjsddunSJsrIyHB0dGT9+/KA4B5BzmcGvr/s4KCiId955hx9++IGqqiq+/fZbli9f3qmBhsGiqamJhw8fqsnmKisrn3qMpXSkn58fISEhhIaGdjpxVl/38Yt0pm39Pe6z6PHLqv/1v/5Xmpub+d3vfqcWzz127Fin1qvFxcWh1+v5p3/6JwoKCrC3tyc6Opqvv/6aDRs29HRTRTdZattaSn5s2bKFadOmMWnSpOceHAsXLqStrY2MjAyOHTtGamoq0dHReHp64ubmptbB1el02NnZ4ejoyLBhw9TkRpZMlcuXLyc+Pl4dVewogLPcFxAQ0GEAYDKZuHPnDlevXlUDE2hfq5iUlERsbGy3k+68LEdHR0JDQ61OyhsaGvjiiy+A9tIzT5bi6ar8/Hw1yPPz82Pq1Kkvtb3HWUbInywD1RsePXpEVVUVtra2HSb98fX1JSkpicLCQsrLyzl06BA+Pj5drkFaXFzMqVOn1AzdWq2WkSNH4u7uzq1bt0hNTQXaX/usWbNISkrip59+Up9vKYxuSYr1+uuvYzabuXXrFqdPn2bixImUl5dz7949Dh8+zP3793nttdeIiopS19eeOnWKxYsXv7CtiqLw888/AzBy5Mg+y2BcU1PDtm3bePToEVqtloULF3b7QoJldsHly5fV23Q6Hb/97W9pa2tTE1NMmDChR9ouOjZkyBCWLl3K9u3buXDhAlFRUa+s9FVHGhsbSUlJAWDWrFlSbkSILvDw8OD9999n586d5OXlsW3bNqZPn860adO6nbyxP2tpaSE/P5/c3FwePnz41Lr7x0ddg4KC8Pf37zBzurDWH+K+lw5mLX9ILDQaDZ9++imffvppl7cVERHBV1999bJNEq+AVqtl+fLl7N27l9u3b5OSksLly5cZOXIkEREReHl5PfUloNVqWbZsGUFBQaSkpFBXV8e1a9e6vO+rV68SGhqqLrzvaKqbJZh9fNTTUv/01q1b3Lp1S826q9FoGDZsGGPGjCE8PLzffXEpiqIWkPb19WXmzJkvvc3H67IuWbKkR/9wWS4etLW1YTQae3UqYnZ2NtCeSKij0Uc7Oztee+01FEVh69at5OTksGnTJkaOHMm0adOeW/cY2rNUnzp1Ss0urdFoCA4OxtbWloyMDPUzaGdnx4QJE5g4cSIODg6kp6dz+/ZttVRWeXk5P/zwgzoyrNVqSU5OxsXFhQsXLnDx4kVCQ0OZOnUq58+fJzs7my+//JLVq1czb948vvvuO65du8aYMWNemOHvzp07lJSUYG9v/9ypyb3p4cOH7Ny5k6amJvR6PatXr+72iKklCd3j2Wq1Wi2//e1vGTJkCMeOHaO5uRlvb++navaKnjds2DCSkpK4fv06O3fu5IMPPuiTC3+WrO4tLS34+fkxatSoV94GIQY6JycnNmzYwNGjR7ly5QqnT58mNzeX5ORk3Nzc+rp53dbc3KxOFS4rK1NrvT45bdjb25vw8HDCw8MJCwvrdGm4X7P+GPf1/YIXMWDZ2tqyYsUKhg4dysmTJ6mpqeHChQtcuHABaL/qN2/ePKtpKxqNhrFjxzJy5EgePHhAQUEBNTU11NTU0NbWpmakbm1tVQMFnU5HSEgIgYGBpKamkpeXx1//+ld12vOTZXMAdS2jRqPh+PHjFBcXU1xcbPVYJycndfp0f15rfenSJXJycrCxsWH58uUvHRxaRqWhvTh1T4/c2dvbq9N7Gxsb1ezJvcFSquNFpVg0Gg0xMTHk5OQA7dNVb968yezZs9WRW0VRcHJywsnJCUVROHv2LNevX1f/+Dk4OKhXdi28vLxISkpi5MiRahBfUVHB4cOHAZg5cyYTJ05k//793Lx5k8OHD3P37l2WLFmCq6src+fOxdvbm8OHD5OXl0dJSQnjx49X13R/++23LF26lLi4ODIzMzl06BDvvPPOcy8+WEYpx4wZ88rLkVjK7hw5cgRFUfD392fNmjXd+gyYTCbOnDnD2bNnrU5ANBoNv/nNb3B3d6eqqkodrZ03b96gHE3ojxYuXKjWzN66dSvvvffeKx8VvXbtGpmZmWi1WpYuXSp9L0Q32djYsGjRIoKCgjh06BD5+fl8+eWXzJ07l1GjRvW7C/wdaWpqIicnR83vUltb2+HjPDw8CAsLIywsjPDwcCnZNUhIMCteikajYcSIEQwfPpw7d+5w9+5dNUCtqqpi27ZtJCYmMm/ePKvpvjqdTl2P+iwGgwGNRoONjY36ZTpixAj27NlDSUkJ58+fB9qn4JrNZvVkxlICCFCnf1rY2dkRExNDfHw8UVFR3V6796rk5uZy7NgxAObMmWOVHKi7fvnlF7VEzJIlS156e0/SaDTo9XoaGhpoamrqtWC2oaGB4uJiAKKjo1/4eMtFC7PZzJUrV3jw4AHHjh1T398XsUybDgoKUteG+Pn5Wf2hNxqN7N69G4PBQHh4OJMnT1ZHYX19fdWpyn/961+ZNm2aemEnJCSEffv2kZ+fz8WLF/Hw8CAwMJCioiL27t3L6NGj1bWwFy5cYMqUKR220VIGC3iptcHdYTQaOXToEOnp6UD7sbp06dJurRnKycnh6NGjHa5hevPNN/H29sZsNrNv3z5MJpOanE28GjqdjrVr17Jx40YqKir44Ycf2LBhwysb1Xjw4IE6lX7WrFmDMuGXEK9aQkICwcHB7N69m6KiIg4ePEh6ejqLFy/Gz8+vr5tnRVEUysvLyc7OJicnxyqZpYWbmxs+Pj54e3vj6+tLaGhovx64EN0nwazoEVqtlri4OOLi4oD20dKUlBQuXrzIjRs3uHPnDuPHj2fChAmdvoLf0Umwl5cXH3zwAZcvX+aXX37BaDRiMpnYs2cPQUFBZGRkqIEstH+ZRUZGEhAQQFBQEF5eXgPmCn5NTQ27du1CURRGjBjB+PHjX3qb1dXVXLp0CWhfH9xb0wMdHR3VGqu9xbKG2sfHp1NrMyyjswBDhw7l9OnTaoZdd3d37O3tqaqqemqk38HBgaioKKKjo4mMjFRr23bkl19+obS0FEdHR5KTk9XPmkajYfLkycTExLB//34KCws5ceIEFy9eZOLEiSQlJfHOO+9w/fp1Tp48SVVVFdC+RrGhoYFr167h4+NDWVkZp06dIjIyEn9//6f2n5mZCUBoaOgrnSJWW1vLzp071QRtc+bMYeLEiV2+ol9eXs6xY8fUtclPmjx5MhEREUD7har8/Hzs7OxYvHjxgBg9GEycnZ1Zv3493333HcXFxfzwww+sX7++10do8/Ly2L59O2azmREjRjBp0qRe3Z8Qvybu7u689957XLp0iZSUFAoLC/nb3/7G8OHDmTZtWo9cUO+O1tZWqqqqqKioIDc3l/v37z+VjdfPz4/o6Gg1w65MGf71kGBW9Ao7OzvmzZtHbGwshw4d4tGjR5w5c4bz588THR1NaGgoPj4+ODk54ejoiKOjI7a2tp06IdVqtYwfP56AgAB+/PFH2trauH37tpoxVaPRoCgKgYGBvP/++wPyJLehoYHvv/+epqYm/Pz8WLp06Uu/DssaM0vip95cY2bJ9vd4iZqe9ujRI4BuXTHWaDTMmDFDXWvr6+tLamoqR48eBWDs2LHq2lYPD49OXQDJzc1VZwK8/vrrHQbY3t7evPvuu2RkZHDmzBmqq6s5ceIEJ0+eZOjQocTHx/Phhx9y5coVLl++rK7rhvas2zqdDoPBwI4dO/iHf/iHpwIHSzDb2ULjPeHBgwfs3r2bpqYmHBwcWLFiBVFRUV3aRlVVFadPn+bmzZtPrWmy8PPzY8aMGUD77AtLVuP58+e/cO2z6B2+vr68/fbbfPfddxQVFbFx40bWrl3baye8d+7cYc+ePerMh9dee21Afr8L0Z9ptVomTpzI8OHDOX78OLdu3VLPsaKiokhMTGTYsGG9kg+jra2N4uJiHj16xKNHj6isrKSysrLDMi22trZEREQQHR1NTEyMjLr+ikkwK3pVcHAwH330EZmZmZw9e5ZHjx5x584ddc3mk2xsbLC1tVV/dDqd+n9FUWhtbaW1tZXm5mZ1Te2TLPViIyMjB+SJTktLi5ou39XVlTfeeKNH0rvfuXPHasSrN5PlvIpg1rIm5mVGl4ODg4H2QPHEiRNAe121Z03jfZa2tjYOHDgAtE9nft70eUsm5BEjRpCRkcGVK1coKSkhKyuLrKwsbGxsCAsLY+rUqdTU1HDr1i11tNhgMAD/X6bgt99+2yrQLisrU2dJ9DaTycTp06c5e/Ys0B5srl69ukuBZWVlJefPnyc9PV0NYu3s7J4aHbe3t2f16tXY2tpSU1OjjszFxcVZFWoXr56vry/vvPMOW7dupbq6mr///e8sWLCAkSNH9tj3r8FgICUlRc3HEBkZyZo1a/pFnVshBisXFxdWrFjBlClTOHPmDJmZmdy7d4979+5hb2+vJk4KCgrC3d0dBweHLh/zJpOJkpISHjx4oOZRsVxwf5KTk5O6BCcyMpLQ0NB+XfpGvDryl0D0Oo1Gw/Dhw4mLi6OsrEzNtlpZWUlTU5NaKxXav9hMJlOngiAbGxs8PDzULKcTJ04kLS1Nfe7t27cJDg4eUEFtXV0dW7du5dGjRzg5OfHWW2/12NVGS7AGqH98eoslmO3NacaWgKezNd+eRVEUDh06hMlkIiYmhsmTJ3d5GykpKVRXV+Pi4tLp2ps2NjYkJSWRlJTEo0ePuHHjhpr46f79+9y/fx9oH811cXGhurpanX4M7aOT//Ef/8G0adMYPny4ent0dHSvT/UsLS1l79696uh4UlISixYt6lRwoSgKeXl5XLx4UU3gBe3TVuvr6636tbW1Fa1Wy4oVK3B3d6exsZEtW7aoMxaWLVs2YI7twczHx4cPP/yQXbt2kZuby/79+8nOzmbJkiUvlWDFZDKp5auqq6sBGD9+PHPnzu33+Q6EGCx8fX1ZtWoVVVVVpKenc+PGDerq6p4amLCzs1OTKOr1evR6PUOGDFFn4EH7939DQwN1dXVUVFRQWFioXqS1cHFxwd/fHx8fH3x8fPDw8MDDw0OmDYtnkmBWvDIajQZfX9+nSosoiqKWcXnWj+XLzsHBAXt7exwcHNSanbt27eL27dvU19fz0Ucf8X/+z/8B2kd9fvzxR4KDg5k5cyZhYWH9+sS3pKSErVu3Ul9fj16v58033+zRNa2NjY3Y2NhgMpkYOXJkj223I5YptpYT0N5guWjxssHs9evXyc/PR6fTsWjRoi5/Rh5fh7xkyZJutcfX15d58+Yxd+5cKisr1aQW+fn5lJeXqxdsHB0d0ev1VFdXYzabaWtrU6cpW2oP9+aobGtrK2fOnCE1NRWz2Yxer2fRokVWwfSzVFdXc+vWLW7evGlVZsfNzY3a2lrq6+uB9pFrLy8vysrKgPYp29HR0TQ2NvLdd99RXl6Os7Mza9eulavy/YjlO+vChQukpKSQnZ1Nfn4+CxcuJD4+vkvHVX19PTdu3ODatWvU1NQA7d8pixYtYtiwYb30CoQQz+Ph4cGsWbOYOXMmRUVFVvVam5qaaGtro62trct/9x0cHAgPDyciIoKIiIg+KfUlBjYJZkWf02g02NvbdzsomTJlitV6Dmi/shcbG8vVq1cpKChg8+bNhISEMH369H5ZS/bxtWDe3t688cYbPTZy+ngpGZPJhK2tbaeCj5dhSU70+L57Wk8Es5WVlRw5cgSAGTNmdCvzckpKCmazmcjIyE5lVX4eS11aLy8vJk+eTHNzMzk5Ody9e5d79+7R3NxMc3Pzc7dx9OhRqqurSUpK6rFRfUVRuHXrFsePH1eDztjYWBYvXvzMhFgmk0k94cnJyVETdkH7Wic3Nzeqq6vVYAUgJCQERVEoKChAo9GwdOlSEhISqKioYOvWrVRVVeHs7Mw777zTqyWfRPdotVqmTJlCdHQ0P/30E48ePWLPnj1cvXqViRMnEh0d/cwR1draWqvPumW2jpOTE+PHj2fcuHEvfeFKCPHyNBoNQUFBBAUFMXXqVKB9KUBdXR2NjY00NjbS1NSk/r+xsVGdpWWpduDi4oKbmxvBwcF4e3v3u3MyMbBIMCsGPD8/P2JiYrh7965aricoKIgFCxYwefJkzp49S1paGvn5+Xz//fcEBwczffp0IiIi+vwLVFEULly4oE4BjoyMZOXKlT02naa5uZkDBw4QHh6Om5sbVVVVxMXF9fp0naioKDQaDSUlJZSXl+Pt7d3j+2hqagLo9muxZME2GAyEhYUxYcKELm+jrq6OmzdvAu0lQnqao6MjCQkJJCQkYDKZyM/PV0/2KyoqOnxOU1MTKSkppKSkEB4ezrhx44iJiel2Fu+ysjK1Di60Z7tcsGCBmhlaURQaGxupr6+nqqqK0tJSSkpKyM/Pt5o+ptFo8PPzw2AwUFFRYdX+gIAAJkyYQEpKClVVVdjZ2bFq1SqioqLIyclh9+7dtLa24urqyoYNG+TKfT/n6+vLhx9+yLlz5zh79iz5+fnk5+fj4OBAaGgovr6+6PV62traqKqqoqCg4KkyTMHBwerachmBF6J/0+l0eHp64unp2ddNEb9CEsyKQWH27Nnk5OSo0xctdQctU9OmTJnC+fPnuXbtGgUFBfzwww8EBQUxd+5cQkJC+qTNJpOJQ4cOcf36daC9LujChQt7rHSQZS2oZSTNMgI2ceLEHtn+8zg5ORETE0N2djanTp1i9erVPbp9RVHU19PdEjSnTp2iuLgYBwcHqzI6XXHlyhUURSE0NLTXa13a2NioCTfmz5+vjmSdOXOmw0yP0J5hOTc3F41Gg4ODA05OTtjb21slWrNc0Hn8wo5Go8FoNFJRUaFOGdNoNHh6euLk5MSZM2c4ceIEra2tap3njjg6OhIQEICiKJSUlFiVzYL243Tx4sU8fPiQvXv3YjabcXFx4Y033sDDw4NDhw5x9epVoD24WbNmzXNLI4n+w8bGhunTp5OUlMSlS5e4ceMGjY2NZGdnk52d3eFzLDWc4+Li8PLyesUtFkIIMRBJMCsGBR8fH8aPH6+WRnmyNISLiwsLFy60CmoLCwvZtGkTiYmJzJ0795WeJDc3N7Njxw4ePnyIRqNh/vz5jBs3rkdHitPS0rh9+7bVtL7IyMhXVvx85syZ3L17l6ysLDIzM3t0LWd1dTVGoxGtVtut6ab19fVqZtTXXnutW9NxDQYD165dA+iRGsBd5erqypgxY0hKSmLHjh3q7XZ2duh0OqsAV1GUTk1Rfh5FUZ4aUX3ckCFDcHFxwdPTE3t7e1paWigsLFQTWVlotVqGDRvGrFmz1As6lunosbGxLFmyhIKCAnbs2KEG0mPHjmX+/PmS9GcAsiRFmz17NkVFRRQWFlJRUUFrays6nQ4XFxcCAwMJDg7u9cRlQgghBh8JZsWgMXbsWDWYvXv3bofrF52dndXpxykpKaSlpalZZGfNmsXo0aN7bGT0WaqqqtiyZQuVlZXY2dmxYsUKdcpmT8nNzeXw4cNAe6BlmZLbnUy93eXr68ukSZM4f/48e/fuxc3NrcdGLx88eAC0j9Z1J8DJyspCURSCgoK6XaLo9u3bNDc34+rq+txSPL3NxsaGZcuWcezYMaA9y7OHhwfr168nNTWVW7duPXPk9EUs69kdHBzQ6XRqoGxjY6P+aDQaTCYTTU1NVFRUUFxc3OG2nJycmDBhglq/98yZM1y8eBGz2YxOp2PevHn4+/uze/dutX9dXFx4/fXXiYiI6N6bI/oNrVZLcHCwWg5LCCGE6AkSzIpB4/E1V1evXiU2NvaZJ8HOzs4sXbqUpKQkDh8+TElJCYcPHyYzM5MVK1a8VDmJ58nLy2P79u00Nzfj4uLCunXrnsru/LIePXrEjh07MJvNxMfH09jYqCZsCAsL69F9vcisWbPUGnKbN29m7dq1PdKGzMxMAMLDw7v1fMv6z5e5iGAZlX0VF0BexFISJyoqirt371JaWsrmzZtJTk5m1qxZXLx4kbS0NHUNq52dHXq9HqPRSHNzMyaTqcPtKopCS0tLt0ssabVaYmJiGDduHGFhYSiKQnp6OidPnlRHjocOHUp8fDzp6ekcOnQIaA/QJ0yYwNSpUyXpjxBCCCGeSYJZMWhYsqV6eHhQVVXFvn37+Oijj9Dr9c98TlBQEB988AFXr17lxIkTPHz4kC+//JIVK1Z0O1B6lvT0dA4cOIDZbCYwMJC1a9f2eNBcUVHB5s2baWlpISgoiDFjxrB582YSEhKYNWvWK094pdVqWb16NVu3biUvL4/Nmzcze/ZsJk6c2O0A8NGjR+o60O6WGLLUR7VkXe6q0tJSCgsL0Wq1JCUldWsbvWHlypUcOXKEtLQ0Wlpa2Lp1Kw4ODgQEBBAcHExlZSV1dXVqCYXH6fV6YmJiGDFiBJ6enupjWltbaWlpUf81GAyYzWYaGhooLy+nsrLSakqzRqMhNDSU2NhY4uPj0ev1KIrC/fv3OX78uFpyx9XVlfDwcAoLC9m9e7f63BEjRjBjxoxerYMshBBCiMFBglkxaFjW1yUmJpKRkUFlZSV79uxh3bp1zw2ctFot48aNIyIigh07dlBeXs7333/P4sWLGT169Eu3y2w2c/z4cXUKdFxcHMuWLevxDJ1VVVVs3ryZpqYm/Pz8WLt2LZs3b1bv7+0ERc9ib2/P+vXr2b9/P7du3eLEiRPcvn2bxYsXExgY2KVtmc1mdfQuLi6uW+tlzWYzVVVVwNNrqzvLkpQoNja210bxu2vp0qUMHTqU/fv3qyURLNN2H6fVaq2mH1sudLS0tKh1nB9nSeKUmZlJVlaW+h5athUREUFsbCxDhw5V158bjUZu377NhQsX1OnHtra2DBkyhJqaGtLT04H2TJgJCQlMnjxZglghhBBCdJoEs2LQsEyh1Ov1rFq1iq+//pr79+9z9uxZpk+f/sLne3l58eGHH3Lw4EEyMjI4ePAgDQ0NnXruszQ1NbFr1y5yc3MBmDp1KjNnzuzxEdKioiK2bNlCU1MT3t7ebNiwgYsXL1JWVtYvgi2dTsfy5csJDw/n2LFjlJSU8PXXXxMVFcWECRMIDw9/4UitoiicOHGCgoIC7OzsmDNnTrfa0tLSYlXDsqtaW1vJyMgA2jNQ90cxMTH88z//M3fu3OH48eNWgaderyckJISwsDDs7e0pLCwkMzOTxsZG0tPTSU9PR6PR4OvrS3BwMDqdjkePHlFaWmo1Amtra0tUVBSxsbHExMSoJZJqa2u5fv06OTk55OTkYDQardpmNBrVTNSBgYFq+RWZTiyEEEKIrpJgVgw6ZrMZX19flixZwt69e0lJSSEoKIjIyMgXPlen07Fs2TLc3d05ffo0KSkp2NraditxUmlpKdu3b6empkbdbk9m9LWwBN4GgwE/Pz/Wr19PUVER586dA2DevHkdjsy9ahqNhlGjRhETE8OJEyfIyMjg3r173Lt3D71ez7Bhw4iOjiYoKMgqADcajRQUFHDu3Dn1dSxevLjbJXker0/bneRRGRkZGAwGvLy8CA0N7VYbXpVhw4YxdOhQ8vPzuXbtGtnZ2TQ1NXHnzh3u3LkDtH/mvby8CAgIwGAwUFVVRUNDA6WlpZSWlj5z256entTW1nL+/HlOnjxJS0sLbW1t6oWCjuh0OoKDgxk6dChDhw7t1si6EEIIIYSFBLNi0LCUdbAkq0lMTCQ/P5+0tDT27NnD+++/j4eHxwu3o9FomDFjBjY2Npw8eZITJ05gZ2fH2LFjO92WW7dusW/fPoxGI+7u7qxdu7bbU1qfxWAw8PPPP6t1aqOioli5ciUtLS389NNPQPvI4bBhw/pFMGsxZMgQli1bxrRp00hNTeXmzZs0NTWRlpZGWloa0D5iOmTIEHUUz5KgyMbGhkWLFpGQkNDt/Vs+H5aRxK5QFEWdYjx69OhXvga5OyxrWENDQzEajeTn51NQUKD+tLW1PVX/tTMs646ft193d3eCg4PVUV5/f38pryOEEEKIHiPBrBg0LMHs41MhFy5cSElJCSUlJfzwww+89957nZ52O3XqVNra2jh37hyHDx/GwcGBESNGPPc5RqORY8eOceXKFaC9ruuKFSt6vH5ieXk5O3fupLy8HIDp06czbdo0jEYj27Zto7m5GX9/f+bPn//ckbK+5OHhwaJFi5g/fz4PHz4kKyuLgoICysrKaGxstOpHy8jt5MmTO3VB4nksiY/s7Oy6/FxL+2xtbUlMTHypdvQFW1tbIiIi1CzfZrOZ6upqysrKyM3N5fbt2+rI9bNotVpsbGyws7PD3t4ee3t7nJyccHd3x9PTk4CAADw9PXF0dBwQwb4QQgghBi4JZsWg4enpCaAGeNB+8v7GG2/wzTffUF1dzY8//siGDRuem+H4cbNmzaKtrY3Lly+zb98+XFxcnjm1tKKigl27dqkjVpMnT2bWrFk9WrbFZDJx8eJFUlJSMJlMDBkyRF2Lajab2bNnD6Wlpej1elavXo2tra26lri/srGxITIyUp0G3traSlVVFY2Njdja2uLi4oK7u3uPBUYvE8xeunQJgPj4+B6/QNEXtFot7u7uZGVlkZaWhslkUsviTJkyBXt7e8xmM0aj0aqurBBCCCFEfyDBrBg0LNl6CwoKMBgMarZgZ2dn3nzzTTZt2kRpaSnffvstb775Ji4uLi/cpkajYcGCBdTX15OVlcWOHTv46KOPrJ6rKArXr1/nyJEjGAwG9Ho9y5YtIzo6ukdfX3FxMQcOHFDXMUZGRrJs2TKGDBmCoigcOXKE7OxsbGxsWLt2bbfXlPY1e3v7bpfM6YzuBrPV1dVkZWUBMHHixB5vV18oKytj3759aqbh6OhoFi1aZPXZsQSxQgghhBD9jQSzYtDw8fHB1dWV2tpa7t+/z7Bhw9T7PD09efvtt/n+++8pLy9n06ZNrFu3Dm9v7xduV6PRkJycTHV1NaWlpezcuZN33nkHGxsbqqurOXjwoLomNTw8nOTkZJydnXvsddXX13Py5Em1jImjoyPz588nISEBjUaDoigcP35cndq8bNkygoODe2z/g1VXp19funQJRVGIjIzs8fXPr5rZbOb8+fOcPn0ak8mEvb09CxYsIDExUUZehRBCCDFgSDArBg2NRkNsbCypqancuHHDKpgF8Pb25r333uP777+nqqqKr7/+muTk5Kce1xGdTsfq1av56quvKCws5MiRI3h4eHDq1CkMBgO2trbMmDGDiRMn9ti0YqPRyMWLFzl79qw6VXjEiBHMmzfPat1vSkoKFy9eBGDJkiXEx8f3yP4HK8sU8+bm5k4/x2g0qhcTJkyY0BvNemVqamrYtWsXRUVFQPto7JIlSzo1U0EIIYQQoj+RYFYMKklJSaSmppKdnU19ff1TI6Rubm6899577Nq1i4cPH7J9+3YmTZrEzJkzsbV9/uHg7u5OcnIyW7duVTPaAoSFhbFkyRJ1ze7Lamtr49q1a1y4cIGGhgagvR7nggULCAoKsnrs6dOnOXPmDAALFixg9OjRPdKGwcxyIaC2thZFUTo1Enn37l1aW1txcXHpVImn/iovL49t27bR0tKCg4MDCxYsUEf4hRBCCCEGGglmxaDi4+NDcHAwBQUFpKenM3Xq1Kce4+TkxJtvvsmxY8e4fPkyFy5c4N69eyQnJ+Pn5/fMbTc3N3P37l2r26ZPn8706dN7JBhobW3l8uXLpKamqhllXVxcmD17NiNGjLDah6IonDp1irNnzwIwZ84cxo8f/9Jt+DXw8vJCo9HQ3NxMfX19p0Ykb926BfBUPwwkubm5bNmyBaPRSGBgIKtWrZI6r0IIIYQY0CSYFYPOqFGjKCgoIC0tjSlTpnQYfNjY2LBw4ULCw8M5cOAAZWVlfPXVV4wdO5YZM2ZYZapVFIW0tDR++eUXdWqqk5MTjY2N3Lx5kwkTJnSrZqlFWVkZV65cISMjQ01O5O7uzpQpU0hMTHwq+Y5ljaxlavG8efMGTUKiV8HW1hYvLy/Ky8spKip6YTBrMBjIyckBYPjw4a+iiT2uqqqKHTt2YDQaiYmJYeXKlWqCNCGEEEKIgUqCWTHoDB8+nKNHj1JTU0NaWtpzp94OGzaM4OBgDh06RFZWFpcvX1YD1DFjxlBdXc3hw4fVbK/e3t4sWrQIHx8f/va3v1FVVcW+fftYvXp1l0bsGhoauHPnDjdv3iQ/P1+93cvLiylTpjBixIgO194qisLPP/+sJntauHAh48aN6/R+Rbvw8HDKy8u5e/cusbGxz33svXv3MBqNuLq6Pnfkvr9qbW1l69attLS0EBQUxKpVq144pV4IIYQQYiCQMxox6Oh0OqZNm8axY8c4evQo/v7+atmejjg5ObF69WoePHjA0aNHKSsr49SpU6SkpKgZb+3s7Jg5cyZjx45VR0pXr17Npk2buHPnDqdPn2bGjBnP3IfZbKasrIy8vDzu3LlDXl6eum2NRsOwYcMYM2YM4eHhzwyKjUYje/fu5fbt2wAsXbqUUaNGdect+tWLjY3l8uXLZGZmsmDBAuzt7Z/52Dt37qjPGWhTjBVFYc+ePVRUVODs7KzWHhZCCCGEGAzkrEYMSuPHj+fevXs8ePCAzZs3s2TJEoYPH/7cYCQ0NJRZs2Zx+vRpSkpKrEq3aDQa8vPzMZlMBAUF4ebmhp+fH4sWLeLAgQOcPn0aT09P4uPjMRgM1NTUUFFRQXl5OYWFhRQUFNDa2mq1v4CAAOLi4khISHhhKZ/W1la2b99Obm4uWq2W5ORkyVr8EkJDQ/H09KSyspKMjAzGjh3b4eNMJpO6TrozWa/7m1OnTnH37l1sbGxYs2ZNj5aMEkIIIYToaxLMikFJq9WyatUqtm3bRl5eHrt37+bkyZNERkYSGBiIk5MTJpOJlpYWKioq1FFTy5pVgJCQEJycnMjPz6exsZGsrCyysrKs9uPo6IhOp8NgMLBnzx727t2L2WzusE12dnYEBwcTERFBXFwcbm5unXot9fX1bNmyhdLSUuzs7FizZg0RERHdfm9E+8WJsWPHcuTIES5fvszo0aM7nNadk5NDS0sLer1+wNXuvXnzppog7LXXXiMwMLCPWySEEEII0bMkmBWDloODAxs2bODcuXNcuHCB6upqrl69alVW50lOTk7Ex8czatQofHx8gPYpwpbR1cLCQkpKSqivr8dsNj9Vq9QSyNrZ2eHt7Y2Xlxf+/v6EhITg6+vb5Rq0RUVF7Ny5k9raWpycnFi/fj3+/v5dfCdERxITE0lJSaGiooKbN2+SmJhodb+iKJw/fx5oL/nUU/WDX4W8vDz27dsHwKRJk0hISOjjFgkhhBBC9DwJZsWgZmNjw/Tp05k4cSL37t2joKCAR48e0dzcjI2NDfb29ri7u+Pr60tAQAABAQFPTUXWarWEhIQQEhKi3qYoCo2NjTQ1NWE2mzEYDJw/f57s7GygvUTQ8uXLcXd371a7jUYj586d4+zZs5jNZjw8PFi/fj0eHh7dfzOEFQcHByZPnswvv/xCSkoKw4cPt1pParl4YWNjM6DKHpWUlLBt2zZMJhOxsbHMmTOnr5skhBBCCNErJJgVvwp2dnbExcURFxfXI9vTaDQMGTKEIUOGqLetXbuWGzducPjwYQoLC/nyyy9ZuHAhiYmJnU4c1NTUREZGBhcuXKC+vh5oTzz02muvvVT5H9Gx8ePHc+nSJWpqakhNTWXKlCnqfZYR/M6sae4vCgoK2LFjB62trQQFBZGcnDzgklYJIYQQQnSWBLNC9KDExERCQkL46aefKCgoYN++feTk5LBkyRKr2rUW9fX1FBcXU1JSQlFREQ8ePFCnKjs7OzN//nzi4uIkIOklOp2OOXPmsHfvXs6cOUNiYiLOzs6YTCY1i/HzSjv1N9u3b6etrY3Q0FDeeOMNqSUrhBBCiEFNglkhepi7uzvvvPMO58+fJyUlhczMTB48eEBYWBh6vR5FUairq6OsrEwdfX2cn58fo0aNIikpScqovAIJCQlcvXqVwsJCTpw4QXJyMsXFxRgMBvR6/XPLOvUXlsRkRqOR6OhoVq1aJYGsEEIIIQY9OVMWohdotVqmTp1KZGQke/bsobKyUh3pe5xGo8HLy4uAgAD8/f0JDw9XE0+JV0Oj0bBw4UI2btxIRkYGo0ePpqioCIDg4OB+Pyp+9+5d9u/fz4gRI4iLi2PZsmVqLWQhhBBCiMFMglkhelFAQAC/+93vyM/P59GjR7S0tKDRaHBycsLb2xs/Pz/s7Oz6upm/egEBASQlJXH9+nX27t2Ln58fQL/PHF1QUMDOnTvVmshLly6VQFYIIYQQvxoSzArRy7RaLWFhYYSFhfV1U8RzzJ07l9zcXKqrq2loaADo11OMCwsL+fHHH9WpxUC/H0UWQgghhOhJA6dwohBC9CJHR0feeOMN7OzsMBgMALi4uPRxqzp248YNNm/eTGtrK6Ghobz++ut93SQhhBBCiFdOglkhhPj/8/HxYfbs2ervmzZt4uzZs+pIbV+rqKhg+/bt7N27F4PBQEREBOvWrZOp6kIIIYT4VZJpxkII8RhL7WCdTkdraysnT57k1KlTBAcHq9PFfXx80Ov1r2Rar6Io5OXlce3aNW7fvo2iKGg0GqZNm8a0adPQarXqSLIQQgghxK+JBLNCCPEYBwcHANzc3Jg0aRLXrl2jsLCQ/Px88vPzOXPmDNA+Ldnb25vAwEAiIiIIDw/vdvKl5uZmysvLqa6upqmpiebmZlpaWqirqyM/P5/m5mb1sTExMcyZMwdvb++Xf7FCCCGEEAOYBLNCCPEYSzDb0tLCyJEjGTlyJFVVVeTm5vLw4UMKCwupqamhublZDXAvXryIg4MDw4YNIyYmhoiICOzt7TvcfktLC1VVVZSUlFBUVERhYSHl5eXPbZOdnR3x8fGMGTOm32dYFkIIIYR4VSSYFUKIxzg6OgLtQaeFh4cHHh4ejB49GgCDwUBlZSWlpaXk5+dz9+5dGhsbSU9PJz09Ha1Wi6urK66urtjY2GA0GmlpaaGmpobW1tYO9+vq6oqHhwdDhgzBwcEBBwcH9Ho9QUFB+Pv7S8kdIYQQQognSDArhBCPsYzMGgwGTCZTh0GkTqfDz88PPz8/Ro4cidlsJj8/n6ysLO7du0dVVRXV1dVUV1d3uA+9Xo+vry+BgYEEBgYSHByMk5NTr74uIYQQQojBRoJZIYR4jL29PXZ2drS1tVFUVERISMgLn/NkLeHa2lpqamqora3FbDaj0+mws7PDzc0NV1dXyT4shBBCCNEDJJgVQojHaLVa4uLiSE9P5+zZs6xfv77L27BMMRZCCCGEEL1H6swKIcQTpk6dilar5d69e2RlZfV1c4QQQgghRAckmBVCiCd4eHgwadIkAA4dOkRTU1Mft0gIIYQQQjxJglkhhOjA9OnT8fb2prGxkUOHDqEoSl83SQghhBBCPEaCWSGE6ICtrS3Lli1Dq9WSmZnJ1atX+7pJQgghhBDiMRLMCiHEMwQEBDBr1iwAfv75Z+7cudPHLRJCCCGEEBYSzAohxHNMmjSJkSNHoigKu3btIjs7u6+bJIQQQggheMlg9s9//jMajYY//OEPABgMBv74xz8yYsQInJycCAgI4K233qK4uNjqednZ2UyePJmgoCA+++wzq/uuX7/OkiVL8PHxwcHBgbCwMNasWUNFRcXLNFUIIbpFo9GwdOlSYmNjMZlMbN++nVu3bvV1s4QQQgghXpn+Gvd1O5i9cuUKX331FQkJCeptTU1NpKWl8d//+38nLS2NPXv2cPfuXV577TWr53788cds2LCBffv2ceDAAc6fPw9AWVkZc+bMwcvLi6NHj5KVlcU333yDv7+/ZBMVQvQZrVbLypUrSUhIQFEUdu/ezfXr1/u6WUIIIYQQva4/x3223XlBDQ0NrF+/no0bN/KnP/1Jvd3V1ZXjx49bPfb//t//y7hx48jPzyckJASAmpoakpKSSEhIICAggNraWgAuXLhAXV0dX3/9Nba27U0LDw9X16wJIURf0Wq1LFu2DFtbW9LS0ti/fz8Gg4Fx48b1ddOEEEIIIXpFf4/7ujUy+/HHH7N48WLmzJnzwsfW1tai0Whwc3NTb/vss8+YO3cuer0erVbL/PnzAfDz88NoNPLTTz9JGQwhRL+j0WhYsmQJ48ePB9qTQlmuMAohhBBCDDb9Pe7r8sjstm3bSEtL48qVKy98bEtLC//tv/031q1bh4uLi3r7okWLKC8vp66uDm9vb/X2CRMm8Mknn7Bu3Tp+85vfMG7cOGbNmsVbb72Fr6/vC/dnMBgwGAxdfUm/apb3S963wUv6uOfNmjULnU7HhQsXOHnyJE1NTUyfPh2NRtMn7ZE+Hvykjwc/6ePBT/p48BsofdzZ9vXnuM9Co3QhFC4oKGDMmDEcO3aMxMREAGbMmMHIkSP5y1/+YvVYg8HAqlWryM/PJyUlxepFvUhlZSUnT54kNTWVvXv3UlVVxZkzZxgxYkSHj6+rq8PV1ZUtW7ag1+s7vR8hhBBCCCGE+DVpampi3bp11NbWPjNG669x35O6FMzu3buX5ORkbGxs1NtMJhMajQatVktrays2NjYYDAZWr17NgwcPOHnyJJ6enp1+QU9qa2sjKSmJMWPG8N1333X4GEswW1FR0aU3T7R/+I4fP87cuXPR6XR93RzRC6SPe1dGRgZHjhzBbDYTHBxMcnLyK7+oJn08+EkfD37Sx4Of9PHgN1D6uK6uDi8vr+cGs/017ntSl6YZz549m5s3b1rd9u677zJs2DD++Mc/Wr2gnJwcTp069VIvCMDOzo7IyEgaGxtf+FidTtevPzj9mbx3g5/0ce8YPXo0bm5u7Nixg7y8PL7++muSk5OJiIh45W2RPh78pI8HP+njwU/6ePDr733cmbb197jPokvBrLOzM/Hx8Va3OTk54enpSXx8PEajkZUrV5KWlsbBgwcxmUyUlpYC4OHhgZ2d3XO3f/DgQbZt28batWuJiYlBURQOHDjA4cOH2bRpU1eaKoQQr0xkZCTvv/8+u3btory8nO+//15d+2Fvb9/XzRNCCCGE6JKBEvd1qzTPsxQWFrJ//34ARo4caXXfqVOnmDFjxnOfHxcXh16v55/+6Z8oKCjA3t6e6Ohovv76azZs2NCTTRVCiB7l4+PDhx9+yJEjR0hLS+Py5ctkZWUxf/584uLi+iw5lBBCCCFET+svcd9LB7MpKSnq/8PCwl4qtXJERARfffXVyzZJCCH6hE6nY+nSpcTFxXHo0CGqq6vZtWsXfn5+zJgxg+joaLTablVE61BTUxMODg49tj0hhBBCiGfpj3Ffj47MCiGEaJ92/Nvf/pbz589z8eJFSktL2bZtG25ubowePZrhw4fj7u7epW22trZSXl7Oo0ePKC4uJj8/n4qKCt5///0upbAXQgghhBgsJJgVQoheoNPpmDFjBuPGjeP8+fOkpaVRU1PDL7/8wi+//IKnpycBAQF4e3vj5OSEk5OTOmprNBqpq6ujrq6OiooKysrKqKmp6XA/ZWVlEswKIYQQ4ldJglkhhOhFer2euXPnMmPGDG7dusXNmzd5+PAhlZWVVFZWdmlbQ4YMwdfXF19fX0JCQggODkav1/f74uxCCCGEEL1BglkhhHgFdDodSUlJJCUl0dzcTGFhIcXFxdTU1NDY2EhjY6O69sTGxgZnZ2ecnZ3x8PDA19cXHx+fV16/VgghhBCiP5NgVgghXjFHR0eio6OJjo7u66YIIYQQQgxYgyqYraur6+smDDgGg4Gmpibq6ur6dXFn0X3Sx4Of9PHgJ308+EkfD37Sx4PfQOnjwRQzDYpg1s7ODj8/P4KDg/u6KUIIIYQQQgjRr/n5+WFnZ9fXzXhpGuVlCgT1Iy0tLbS1tfV1M4QQQgghhBCiX7OzsxsUteoHTTArhBBCCCGEEOLXQ9vXDRBCCCGEEEIIIbpKglkhhBBCCCGEEAOOBLNCCCGEEEIIIQYcCWaFEEIIIYQQQgw4EswKIYQQQgghhBhwJJgVQgghhBBCCDHgSDA7CPz5z39m7NixODs74+Pjw7Jly8jOzrZ6jKIofPrppwQEBODo6MiMGTO4ffu21WOys7OZPHkyQUFBfPbZZ1b3hYWFodFonvr593//915/faJzffzOO+881T8TJkyweoz0cf/1xRdfkJCQgIuLCy4uLkycOJGff/5ZvV+O4YHvRX0sx/Dg8+c//xmNRsMf/vAH9TY5lgeXjvpYjuWB7dNPP33qvffz81Pvl2O4n1HEgDd//nxl06ZNyq1bt5T09HRl8eLFSkhIiNLQ0KA+5t///d8VZ2dnZffu3crNmzeVNWvWKP7+/kpdXZ36mNmzZytffPGFcvXqVWXMmDHKuXPn1PtCQ0OVzz77TCkpKbH6eXwfovd0po/ffvttZcGCBVb9U1lZabUd6eP+a//+/cqhQ4eU7OxsJTs7W/nkk08UnU6n3Lp1S1EUOYYHgxf1sRzDg8vly5eVsLAwJSEhQfn973+v3i7H8uDxrD6WY3lg+9d//Vdl+PDhVu99WVmZer8cw/2LbV8H0+LlHTlyxOr3TZs24ePjw7Vr15g2bRqKovCXv/yFf/mXf2H58uUAfPfdd/j6+rJlyxY++ugjAGpqakhKSiIhIYGAgABqa2uttuvs7Gx1ZUq8Oi/qYwt7e/vn9pH0cf+1dOlSq9//7d/+jS+++ILU1FTi4uLkGB4EntfHw4cPB+QYHiwaGhpYv349Gzdu5E9/+pN6u/w9Hjye1ccWciwPbLa2th2+/3IM9z8yzXgQshwwHh4eAOTm5lJaWsq8efPUx9jb2zN9+nQuXLig3vbZZ58xd+5c9Ho9Wq2W+fPnv9qGi057so8tUlJS8PHxISYmhg8//JCysjKr+6WPBwaTycS2bdtobGxk4sSJcgwPQk/2sYUcw4PDxx9/zOLFi5kzZ47V7XIsDx7P6mMLOZYHtpycHAICAggPD2ft2rU8ePAAkGO4X+rjkWHRw8xms7J06VJlypQp6m3nz59XAKWoqMjqsR9++KEyb948q9taWlqsplJYhIaGKnZ2doqTk5PVz6lTp3rldYhn66iPFUVRtm3bphw8eFC5efOmsn//fiUxMVEZPny40tLSYvU46eP+KyMjQ3FyclJsbGwUV1dX5dChQ4qiyDE8mDyrjxVFjuHBYuvWrUp8fLzS3NysKIqiTJ8+XZ2CKsfy4PC8PlYUOZYHusOHDyu7du1SMjIylOPHjyvTp09XfH19lYqKCjmG+yGZZjzI/OM//iMZGRmcO3fuqfs0Go3V74qiPHWbvb093t7eHW77v/yX/8I777xjdVtgYODLNVh02bP6eM2aNer/4+PjGTNmDKGhoRw6dEidCgPSx/3Z0KFDSU9Pp6amht27d/P2229z+vRp9X45hge+Z/VxXFycHMODQEFBAb///e85duwYDg4Oz3ycHMsDV2f6WI7lgW3hwoXq/0eMGMHEiROJjIzku+++UxN5yTHcf0gwO4j8p//0n9i/fz9nzpwhKChIvd0yJ7+0tBR/f3/19rKyMnx9fTu9fS8vL6KionquwaLLntXHHfH39yc0NJScnJxOb1/6uG/Z2dmp7/+YMWO4cuUK//t//2/++Mc/AnIMDwbP6uO//e1vTz1WjuGB59q1a5SVlTF69Gj1NpPJxJkzZ/h//+//qVno5VgeuF7Ux62trdjY2Fg9R47lgc3JyYkRI0aQk5PDsmXLADmG+xNZMzsIKIrCP/7jP7Jnzx5OnjxJeHi41f3h4eH4+flx/Phx9ba2tjZOnz7NpEmTXnVzRTe8qI87UllZSUFBgdWXrRhYFEWhtbVVjuFBzNLHHZFjeOCZPXs2N2/eJD09Xf0ZM2YM69evJz09nYiICDmWB7gX9fGTgSzIsTzQtba2kpWVhb+/v/w97odkZHYQ+Pjjj9myZQv79u3D2dmZ0tJSAFxdXXF0dFTrn33++edER0cTHR3N559/jl6vZ926dZ3eT319vbptC71ej4uLS4++HvG0F/VxQ0MDn376KStWrMDf35+HDx/yySef4OXlRXJycqf3I33cdz755BMWLlxIcHAw9fX1bNu2jZSUFI4cOSLH8CDxvD6WY3hwcHZ2Jj4+3uo2JycnPD091dvlWB7YXtTHciwPfP/8z//M0qVLCQkJoaysjD/96U/U1dXx9ttvy9/j/qjvluuKngJ0+LNp0yb1MWazWfnXf/1Xxc/PT7G3t1emTZum3Lx5s9P7CA0N7XAfH330US+8IvGkF/VxU1OTMm/ePMXb21vR6XRKSEiI8vbbbyv5+fmd3of0cd9677331KQQ3t7eyuzZs5Vjx46p98sxPPA9r4/lGB68nkwOJMfy4PN4H8uxPPBZ6sbqdDolICBAWb58uXL79m31fjmG+xeNoihKL8TIQgghhBBCCCFEr5E1s0IIIYQQQgghBhwJZoUQQgghhBBCDDgSzAohhBBCCCGEGHAkmBVCCCGEEEIIMeBIMCuEEEIIIYQQYsCRYFYIIYQQQgghxIAjwawQQgghhBBCiAFHglkhhBBCCCGEEAOOBLNCCCGEEEIIIQYcCWaFEEIIIYQQQgw4EswKIYQQQgghhBhw/n/60Bg97of/+AAAAABJRU5ErkJggg==",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -162,29 +122,94 @@
}
],
"source": [
- "ds = xr.open_zarr(out_path)\n",
- "ds.traj.plot()\n",
- "ds.isel(obs=0).traj.plot(\"o\", color=\"r\")\n",
- "plt.show()"
+ "# fig\n",
+ "fig = plt.figure(figsize=(10, 6), dpi=96)\n",
+ "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n",
+ "\n",
+ "# plot trajectory\n",
+ "for i, traj in enumerate(drifter_ds[\"trajectory\"]):\n",
+ " # extract trajectory data\n",
+ " lons = drifter_ds[\"lon\"][:].sel(trajectory=traj).squeeze()\n",
+ " lats = drifter_ds[\"lat\"][:].sel(trajectory=traj).squeeze()\n",
+ "\n",
+ " # plot\n",
+ " ax.plot(\n",
+ " lons,\n",
+ " lats,\n",
+ " linestyle=\"-\",\n",
+ " linewidth=1.25,\n",
+ " zorder=3,\n",
+ " transform=ccrs.PlateCarree(),\n",
+ " )\n",
+ "\n",
+ " # add release location\n",
+ " MARKERSIZE = 25\n",
+ " ax.scatter(\n",
+ " lons[0],\n",
+ " lats[0],\n",
+ " marker=\"o\",\n",
+ " s=MARKERSIZE,\n",
+ " color=\"black\",\n",
+ " zorder=4,\n",
+ " transform=ccrs.PlateCarree(),\n",
+ " label=\"Waypoint\" if i == 0 else None, # only label first for legend\n",
+ " )\n",
+ "\n",
+ "\n",
+ "# additional map features\n",
+ "latlon_buffer = 3.0 # degrees (adjust this to 'zoom' in/out in the plot)\n",
+ "ax.set_extent(\n",
+ " [\n",
+ " drifter_ds.lon.min() - latlon_buffer,\n",
+ " drifter_ds.lon.max() + latlon_buffer,\n",
+ " drifter_ds.lat.min() - latlon_buffer,\n",
+ " drifter_ds.lat.max() + latlon_buffer,\n",
+ " ],\n",
+ " crs=ccrs.PlateCarree(),\n",
+ ")\n",
+ "ax.coastlines(linewidth=0.5, color=\"black\")\n",
+ "ax.add_feature(cfeature.LAND, facecolor=\"tan\")\n",
+ "gl = ax.gridlines(\n",
+ " draw_labels=True,\n",
+ " linewidth=0.5,\n",
+ " color=\"gainsboro\",\n",
+ " alpha=1.0,\n",
+ " linestyle=\"-\",\n",
+ " zorder=0,\n",
+ ")\n",
+ "gl.top_labels = False\n",
+ "gl.right_labels = False\n",
+ "\n",
+ "ax.legend(loc=\"upper right\", fontsize=12)\n",
+ "\n",
+ "n_days = float(\n",
+ " (drifter_ds[\"time\"][0].max(skipna=True) - drifter_ds[\"time\"][0].min(skipna=True))\n",
+ " / np.timedelta64(1, \"D\")\n",
+ ")\n",
+ "plt.title(f\"[{round(n_days, 1)} day drifter lifetime]\", fontsize=12)\n",
+ "\n",
+ "plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "One potentially interesting analysis could be to compare the starting longitude to the final longitude. Do the drifters that start on the inshore side of the Agulhas Current have a higher chance to end up in the Atlantic Ocean (aka Agulhas leakage) than the drifters that start on the offshore side?"
+ "### Add temperature data to the trajectories\n",
+ "\n",
+ "The VirtualShip drifters will sample sea surface temperature (SST) as they flow throught the ocean. We can add this information to our trajectory plot by colouring the drifter trajectories by the temperature recorded at each time step."
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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EKmROZrOZhQsX0qtXLy5fvix+DgRBEN4hogVPEIQM72llwerVq7Nz505bh2Mz586d4+rVq4wePZoWLVqIL/XvqL1791KtWjVbhyEIgiDYiGjBEwQhQ7tx4waPHj0C4istFihQwMYR2U6NGjXYv38/lStXZvHixWle5VFIHyIiIrhw4ULi42LFir1xV11BEARbM5lMzw2HsAatVvvSaWcyOpHgCYIgCIIgCIJgcyaTiZz+LgTes35lYm9vb27cuJEpkzzRRVMQBEEQBEEQBJszm80E3ovmfGAbjHbWG1MfE22hUPZlmM1mkeAJgiAIgiAIgiBYk51Rxs5ovQRPyuQdGDNNgpdW/XUFQRAEQRAEIaPIzGPNhBfLFAmeyWTC39+fe/fu2ToUQRAEQRAEQUg3MuJYM0lRkRTrtbJZ89zpQaZI8MxmM/fu3SM4OBg7Oztbh5PhBAYGkj17dluHISDei/Tmbd4PRVHYtWsn8+bOplQuJ+pXLWal6N4teq8yxN0/9sJtX/68mpXrtiFJUhpHlX5169yej9uWw2iwzhe6V70fQtoT70f6kd7ei9g4E9U6fpVpx5oJL5YpEryn7OzsRIL3FsTrln6I9yJ9edv3o1GjxtSv34CundpxZM4GerWoSC5fTytE+O7QGw3IL0lWdFoNkiS99WcnNjaWKhXLIUkqP/0ym0qVKqck1HShYKFCLNlwmPdbVUWvS/0/9a96P4S0J96P9EO8F6lEUeMXa54/E5NtHYAgCEJmpNFoWPz3cmb+9hdzA05w4ORlW4eUadUqn49ffv7xrY/X6/U0atyYXLlyYzQYUzEy28nm5UuOAhU4ePKSrUMRBEEQ0phI8ARBEKzI29ub5avWsmTzv5hMohCUNdSpVIRNG9a+9fGSJDF23ESWLl9NqdKlUzEy27h16xYfffQRxUuUJPRJNBeu3WX55qMoimLr0ARBEN6IpKpWXzIzkeAJgiBYmV6vp2XrdqIVz0okScLN2cDKlStsHUq6sG/fPgCKFi3KjuM3WX8kkHA5Gz/9uc3GkQmCIAhpQSR4giAIaaB+g0acuhxo6zAyraHd6zLn5++5fFkk0YrFgizL+Pv7s23nPuYvXMwng4dw634IJrPF1uEJgiC81tMqmtZcMrNMVWRFEAQhvcqbNy93H4TZOoxMy2jQMahrbd7v2pap03+lbNmytg7JZnL6+aEoCtOmTqFT5y54enqSM2dOPhn2JWN/mcSXfRtj0IsiEBmdigwaPQCKKqFqMsf40Ywuzd4LxQSqBVE7WHgRkeAJgiCkAbPZjFYrOk1Yk7dnVgZ1rcNP037g9z8Wv7PTJlSuXJkhn3zI4CFDGTxkaOJ6Vxdn3LJmYd+xi9SqVNSGEQopoQKKvQ84+SJJMkgSJo0e1fPdvamRnqTNexFfYVI1RyOF30SKCxGJnpCESPAEQRDSQFRUFHaidLbV5ff3wunQBVauXEGrVq0T19+9excXFxccHR1tGF3a0Gg0/DDtZyZ+/wPbtm0jT548PHnyhG1bNrF+zUp8vdxsHaKQAoq9D7Jrbjw93DDodUiShKyzQzFF2zo0AdLkvVBVFYuiEBkVy2ODI0rYDTRRt616zbQmKdadjFzK5DWnRIInCIKQBsxmM7yjLUpprUeLqgz6bkJighcaGkqHNs3QanX8umARefLksXGEaUOv19OwYcPEx2XLluX93h/wyYf9KHL9Ac1qlrRdcMJbUZHByRdPDzecHe0T18t6PQomG0YmPJWW74W90YBep+WBOQ416i4SmTxrEd6Y6C8kCIKQBrJmzUpIuInPf1wlqmla2b8Xb1G+YqXExzqdDlmWGfVBfT7s18uGkdmeh4cHi5Ys42qQyp6jF20djpBcGj2SJIsxlEIio0GHpNEljsfMNJ5OdG7NJRMTCZ4gCEIakGWZTVt38ufSNfy5/jhhTyJ5EhFl67AypZzebvx7/DDbtm4FwNHRkeIlSnP+6h0MBoONo7M9SZKY/et8th6/y/GzN2wdjpBckvTOji8Vnid+FoQXEQmeIAhCGpEkCVdXV0Bmwm87mLbkMGNmrOFOYHDiPqqqYraIUvYpkd3dle+Htubbb0Yyc8b0+Im/Bw3hxhNHpv48y9bhpQs6nY5FS5axau9Vfl2+h/BIMX5LEIT0Q0x0njJiDJ4gCEIa27F7H7IsI0lSfPIx4ANyuMqcvxmMk7MLJpMJBz34e2ehSfXiuLk62TrkDEev0zL+45YcOX2CHp0X0q1nX1q2aY+fn5+tQ0s37OzsWLF6Hdu3beXbKZPAEkMeHzdy58hC6SK5cXa0s3WIgiAIwlsQLXiCIAhpTKPRJHaryZkzJ6vWbCB3ifeYNPUXAtZtZsPmHfz650qadPqIn5ce4adF23gSIVpYksvOqOe9coWZNLQ1Dy/tYsH0cTSs8x6tmjVk3769tg4vXZAkidp16hKwfjP/BGyhc/8vMPqU55flxxk+dTXfztvIlv2nE7sTHz17nS9+WsX5a/fZe0yM4RNSZumylThk8WLvvgNJ1j94GIRDFi/88xd77pjZc+fjkMWLs+cupFWYybZ7734csnixe+/+ZB+7Zt0GfvpF9DQQE52njGjBEwRBsDFJkvh02GdJ1rm6ulKjRk1q1KjJ3j17+OKzIYwZ0Fi05r0FvU5Lw2olEh9HxcTyzZgRSFo7ipcszfiJ39swuvTDYDBQtmxZypYtS58P+gHx00ts2byJ8b/9ib+HkT0nrvHN+ImULFmKY8dPMOOvHQzoWNPGkQsZVbUq8cWQ9h04SNUq/xVG2rf/IPb2dgQFPeLipcsUyJ/vv20HDuKWNQuFCxVI83jfVMnixdixeS0FC+RP9rFr1m1kx649fDywnxUiE94VogVPEAQhnatarRpz5i/i65nriYqOtXU4GZ690cAXHzQim6ueJX//betw0rUcOXLQo+f7rNu4jdot36dBw0a0bNmKNWvWUKxESXwLlmfxukO2DlNIgTNnz/Pl6HF8MOATvhw9jjNnz6fZtb28spPL34+9+w8mWb9v/0GqV6tK7lz+7Pv/bQcOUblShXRdXMTZ2Yny5crg7CxuyL01UUUzRUSCJwiCkAHkz5+f8d9NZdbSXbYOJcOzWBTGzFhD9wGfceLkaVuHkyFIkkTr1m2YNHkKqqpStWpV2rfviLuHBycvP7B1eMJbiI6Optv7falQtRar124gJOwJq9duoELVWnR7vy/R0WnTLbxqlUocPnIsfq7QBHv3H6RypQpUqlg+SfJ35eo1AgMfUKVyRY4dP0nn7r3JV6Q0bl65KFmuKqPHTkgS95BhI/HPXwyTKem8dBERkWTzzctXX48H/utSuSpgLR8M+IQc/gXJnjMfPfsMIDgkJMmxT56EM2TYSPIUKkmWbH6ULFeVn2fMRn2maMeLumg2aNKKOg2asX3nbipXr4u7dy7KVqrBmnUbEvf5YMAnLPprKffu3cchixcOWbwoVLxcCl9h4V0kEjxBEIQMonKVKoRGSdy8G2TrUDK0/ScvUb9xK6pVew9nZ2dbh5MheXl5sX/fPgYPGYq7u6cYI5oB9R04iG07dhMQEMDly5dZv34Dly9fJiAggG07dtN34KA0iaNK5YpERERy8lT8zZawx485d/4CVSpVoEqlCkla8J7+u2rlity+c4fixYrw0w/fsWrZIgb07c3CRUvoN3Bw4v59enUnKOgRAWs3JLnm3/8sJzIyip7duyRZP/zz0UiSxPxfZzD6y89Yv3EzXbr3SdyuKAqt23fhj8VL+HhgP/7563fq1K7BZ1+MYcw3E1/7XK/duMnwz0fx0YC+LF44j+zZs9G5ex+uXrsOwGfDBlO/bm3c3d3YsXktOzav5a8/f0vmK5o5SKr1l8xMjMETBEHIQOb8tpDO7VvRu0U5zl17wOFzd5BRyepsR6USflQtXSBdd11KD85cecCHnw1+/Y7CK1WqXJmoqGhCH4dzJzCYwnl9bB2S8IbOnD3P8pUBBAQE0LRp08T1sizTtGlTfv/9d5o3b86ITwdTpHBBq8ZStXJFIL7VrmyZUuzffwiDQU+pksXJmjULd+7e4+at2/jl9GXv/oM4OzlRvFhRSpX8b1ytqqpUqlAeJydH+vT/mCmTJ+CWNSuFChagWpVKzFvwB61bNkvcf96CP6hdqzq5/JNW1S1UKD+zf5mW+DiLqyu9+n7Ijl17qFm9Gps2b2P/wcPM+mUaXTu1B6BOrRpERUXz0y+z+WhgXzy9HF76XIODQ9i8biV58+QGoGSJ4uQpWIIVKwMYNvQTcufyx93dDb1eT/lyZVL82grvLtGCJwiCkIF4enqyfPV61h66y81glTUbtrNuyx4mTJtHpCEPQyct4+T5G1aPw2Qy8+XPqxn8/T9cuHbX6tdLTXYGLTeuX7d1GJnCtKk/sG7DJv7eeMzWoQjJsGTpcnLnzk3jxo1fuL1Jkybkzp2bv/5eZvVYcvn7kcPbO7F1bu/+g5QrUxq9Xk++vHnw8HBn7/74Kpv79h+kYoVyaDQanjwJ58vR4yhaqiJZsvnh4uFL734foaoqV6/+9/nu06sHu/fs48rVawAcO36SU/+eoVePrs/F0qpFs/973BRZljl85GhibLIs0651iyT7dWjXmri4OA4ffvXnIG+eXInJHYCnhzseHu7cvpOxfoemBVFFM2VEgicIgpDBODs788fipSz48y+02viOGL6+vgwb8RlLV23g2C2Fucv2WDWGtbv+pX3XD1ixZjO/rcpYRTbaNyjH1O/HMu/XObYOJcP7ZNAQChbIx8qNe4iJNb3+ACFdeBgURIEC+ZHlF38NlGWZ/Pnz8TAobbqDV6lcgQMHD6OqKvsOxI+/e6pyxfLs23+IuwkteVUSWvz6fTiIefMX0r9vL9asXMKe7RuYOim+m2RM7H/FqJo1aUi2bJ7MW/AHAL/OX4iXV3YaNaj3XBzZPDySPNbr9WRxdeHevUAAQsPCyJrFFYPBkPQ4z/jjQsLCXvk8s7i6PrfOoNcniVcQUoNI8ARBEDKRLFmyMO2nX7Bzz83WA2etdp37j8IpW648zs7O6PRGq13HGuyMeiZ/2oa1y//kyOHDtg4nw1v4xyL6d2mCQS9GfWQUnh4eXLx4CUVRXrhdURQuXbqM5/8lPNZStXJFQsPCOHzkGCdPnU6a4CWMw9uTMFdetSqViImJYe36TQz6uD8D+/WhWpXKlC5VEqPd87+LdDodPbp2YtHiv3kY9IhlK1bRvUvHxJtjz3rwfwltXFwcoWGP8fbODsQnaCGhYcTFxSU97mH8cW5ZsqTshRD+I6popohI8ARBEDKh8RO/Z93eS4kTVKe2iKhYXBPuRisZ8A+lLMsM6lqbYZ8O4vjx44nr//33X1q3bMrc2TNtGF3GUrZsWa7ee0JEVIytQxHeUId2rbl27Rrr1q174fa1a9dy7do1OrZvkybxPJ0D74dp01FVlQrlyiZuq1yxPFeuXmPFqjXY29tRulQJYmPjsFgsaLW6JOdZtPjF05706tGVx0/C6dqjD7GxcfTs1vmF+61YFfB/j9egKArlE+KpVqUSiqKwYtWaJPv9/c9y9Ho95cqVTt4TfwGDXk9MtPgsCSkjEjxBEIRMSKvVMnHSFGYssc60Co/CInFzc+PevXvoNRarXMPasro4MqRTNUYO6cfhw/Hdw2rVqE7PhkU4tnstfXv3IDw83NZhpnuSJDHu20nMXb7X1qEIb6hokUK0btmMbt26ERAQkNiSpygKAQEBdO/endYtm1m9wMpTBfLnw8PDnfUbN1OieFEcHf8rVFKieDEcHR1Yv3Ez5cqWQafT4eLiTPlyZfjpl1ksWrKUjZu30bl7b+7dD3zh+b29vWjUoC579x+kft3a+PjkeOF+589fou/AQWzZtoOZc+Yx6NPPqFalEjWrVwOgXt1aVK5Ynk+GjmD6zDls27GL4SO/YsHCxXw8sC/ubm4pfi0KFsxPSGgoc+f9zrHjJ9N0XsL0RFKtPAZPzXg3JpNDJHiCIAiZVLly5bFz9ebKzRd/6XkbJ87fYN7y3RQvVY579+7RpUMbOjcq+/oD06lcvp4Me78Bnw39kB3bt9OubWuiY+MY2KkW7xV2oWXTBjx58sTWYaZ75cqVJzA40tZhCMkw+5dp1K75Hs2bNydfvnw0bNiAfPny0bx5c2rXfC9JNcm0ULVyRVRVTdI9E0Cj0VC+XJn4+RcTxt8BLPh1JqVKFGfIsJH0HfgJ2Tw9mTTxm5eev2Xz+GqhLyqu8tSkb8eiqird3+/HmG8m0qBeXf78fW7idlmWWf73n3Tu0I4pP/5C6/Zd2bR5G9+OH8OYUZ+/7VNPokfXzrRp1YIx30zkvdoNaduxW6qcV3i3SKqa8VPY6Oho7O3tiYqKws7OztbhZDiBgYFkz57d1mEIiPcivckM78eVK1cYM7w/I3o1eO2+YU8iCX0SSVycGfcsTrhlcUqy/cbdIOYGnKRdu45Uq16Dnt06MqJHTbw9s1or/ER673LE3TtitfPHxJr4dPI/TJ0+l68//5hxH7cE4PTF2+w8G8aceQusdu2M6EWfjfatmzOkYwXs7QwvOUpIKVVjRPUsi59vDvS6/8aQyXoHlLi3S7DPnrvAX38v42FQEJ4eHnRs3ybNWu7SUs8+Azh46AhnTx56rrjM7r37adi0NWtW/k2tGu+l6DopeS/eRpzJzM3bd5EeHkWyPN+1MybWRPnWn2eY78hPv9M/uNgIO6PGeteJsZCtwPoM87oklxgRLQiCkInlzZsXl2z+/LBgM92bV8Q9y/MTe5vMFr6euRZHV0+8c+TA3t6Bu8evcu/uHbI6aunUqCy+Xu5cv/OQKlWrs3jxn/zx20w61C3B2Jnr2H/kFIeXT8Ro0L0ggozBaNBRtkhOgoODMSv/zSNYrIAvJy7eoVvn9owaM458+fLZMMr0rWHjZqzbvYW29cvZOhQhGYoULsi4r7+0dRhWc/jIMf49fYblKwP4dvyYl1YOFYTMRCR4giAImdwvM+dy/Phxvv5qJDVL+VC7YqEk2//ZdIROPfrTvkPH5449d+4cY0d/QTYnFR8PJ1y8XYl8EkK/du/xy+Lt5M5fhHb1SmXo5A7g6JnrrN52nC+/L4ukNWAymdEltJB0a1aJ81fv0rNLG76b8gtVqlS1cbTpU/ee79Oq+XKKX7tHgdzeb3TM005EkiS9Zk9BeDs16zXB0dGBzh3b8UGvHrYOR3hD1p6rTsyDJwiCIGR4pUuXZsXqdWzYf4ngsP8Khxw9fY0bjyy0a9/hhccVLlyYJf+spHLddhy7FkGzZs3xy12Aod8t4vPRE+jUqQtX7gSn1dOwitg4EwvXHuX3hYvIkiULWVyzEP1/c7oVypOD74e2ZdiggUz94XssloxZWMaaJEliwR9/MXfVUc5fff3EzWaLhS9+WkWHoTMZOXUpUdFiLjAh9UWG3ufB7SvM/HnKC6dGAHivamUiQ++nuHumIKQXIsETBEF4R2g0Gqb8NJNv5mxm7rLd7Dp8jllLd/H5l2Ne24LSvmMnJk/9mUb1a5NFHwkqfDvha8qULUuE6sTGvWfS6FmkPouiEBMTh4enJwBOLlk4cPLKc/s5Odgxa3RXbp/fT/06Ndm+fVtah5ruubi48M/KNcxfe5K9xy7yqmH+R/69SoxFx5Bhn1GqUl0+m7qCpRutN85SEIQMRMyDlyKii6YgCMI7pEiRImzduY/9+/dz5PAh1m3+Dnd39zc6Vq/XU758eS7dukH5kgXIn9ON97t3ZmXAegb0643T8ctUKZ3xxqjZGw18+UF9BvTuwqQfZzHph6k0ql8LP++sFMydtJy6JEn0bFmN0MeRjB09Ag+P+RQrVsxGkadPzs7OrAxYz/ffjmPI5BUUye1J42pFuXzrIev2nEPWaLFYzGRxsiP04W2+GTuW9Rs2UqhwEQZ/8jHNa5XEoM/YXX4FQRBsSSR4giAI7xhJkqhSpQpVqlRJ1nGenp7Mmfc7APfv32fRH78zae7nrF+/jl9mzqVx/Vrk8/PE083FGmFbVU5vd8YMaMo3Y75kxer1LPlnFQP69qZe2Qiqlinw3P5ZXBzw98mGg4PDC84mGI1GvhozDlVV2b17F4v/WEB4RCQBG3ei1WpRVZUHDx5w6tQpWrRoQbly5YiOjgZg1pLtfNy1nhiX9zKq+sqWUeHdkll/FiQ1frHm+TMz0UVTEARBSDYvLy8+Hf4Z0dHRNGnSFL1ez7Tps/l1xT5bh/bWXJzs0RPLiGGDcXNzY+GiJZy+qzBzyc7EiaCfFRUTh5NT0qkkFIsZxWx6bt93lSRJVK9eg9m/LmDxkn8Sx0BJkkT27NmpX78+0dHRREVFoaoqJpOJklUbMXbmWiyW51/zd54lDlVViI0TP2NCvJhYE6rFBJY4W4cipCOiBU8QkmH58uUMGTKEu3fvoqoqzs7OjBo1iiFDhtg6NEGwCaPRmPhvWZZxdbK3YTQp98UHjdh15AKDPurPjNnzmDH7V2bPmsHspRvo36FGkn0d7PSEh4fj4eGRuE6SNVhMMciILoZvQ6vV8uFHg3BxdmFhQAA9W4qKpc+SUCD8Ng818T9fBr0OSZKQiUMxmW0cnQCkyXuhqioWRSEyKpbHj8Mg4l78z0ZmYu1xcmIMniAIISEhFC9enLt37+Lr60vt2rW5cOECt27dYtiwYYwaNYpLly6RI0eO159MEDIpZ2dnzl29R9iTSFydM27XxerlCrJt+hpCQ0PJkiULffsNYGzgPZZtPkabemUS9wsKicDbO+l0AJIkodVnvklz01rX7j3Zv28Pv6/eR+cmFdFqrDfhcUYjR91BAQItJiRJBklC0uhRRQtOupA270V88qOao5HCbyLHhVj5ekJGIxI8QXgDpUqV4vHjxwQEBNC4cWNkWUZRFNatW0fXrl2Jjo6mYMGChIeHv/5kgpBJ5ciRgxlzF/Jhv/cZ2rUmfjk8Xn9QOlW/cgE+HfIJM2f/SmRkJMeOHqVhBf8k+1gUhbi4uCStmELqmTF7HksWL2LElOmM/7hFhp9rMbVIgCbqDmrUPdDoAdB5Fsf08F/bBiYAafheKCYk1UJmHakq5sFLGZHgCcJrLF++nFu3bhEQEEDTpk0T18uyTNOmTVm4cCHNmzcnLi6OadOmMWjQINsFKwg2VqRIEf5evoa+vbsTHRlO7Qr5aVCliK3DSrYqpfOjqJdoUPs9JEllQLuq5M+VtLWuc+NytG3RAJ+cuWnTvjPnz52lfYeOoiU/lUiSRMfOXcju7c2kKd/wZd/GovDKMyQUsMQAIEsqUsK/BdsS74WQHkhqJii/Ex0djb29PVFRUdjZia4xyRUYGEj27NltHUa6VaFCBe7fv8+NGzeQ5efrEimKQr58+QgKCsLR0ZF79+699bXEe5G+iPcjZSwWC1UrlqVvmyqUKZorRefSe5cj7l7az5FmsShIEi/87D91/2Eoe45f5sadh2zed4YHD4PSMELbSOvPxg+TvuXh1WN0aVoxza6Zkdjq8yE8L729FzGxJsq3/jzDfEd++p3+0Ym62Bmt1zU7OsaCe6ktGeZ1SS5RRVMQXiM4OJhChQq99AueLMvkz58fR0dHIiIi0jg6QUi/NBoN6zZt41KoHZ9PW8HD4Me2DinZNBr5lckdgJdnFto1KE+DasXo369vGkX2bhny6QgeRum5fOO+rUMRBEFI90SCJwiv4ebmxvnz519YJh3iW/AuXbpEREQEjo6OaRydIKRvWbNmZcK3k/hx1kK+XbCDw/9es3VIVrNm11k6delm6zAyJUmS6PVBf/adzLw/P4Ig/OfpGDxrLpmZSPAE4TWGDx/O7du3Wbdu3Qu3r127lmvXrhEeHs7w4cPTODpByBjy5MnD2g1b2Xk6iBVbjmXKyXkjomLJmzevrcPItMqVK8eV28G2DkMQBCHdEwmeILxG69atyZkzJ506dSIgICCxJU9RFAICAujWrRt6vR69wSAKrAjCKxgMBhYu+ht7r2J8NX01wWGZq+qsoqpYLBZbh5FpGQwGTOZMNteXIAgvpqTBkomJBE8Q3sCJEydwcXGhefPm+Pv7U69ePXLlykXz5s0JDw/HbFHQ+pUgPCLS1qEKQromSRLDRnzOuMkzmbRwD4vWHsScSZKihlUL07ZVU06fPm3rUDKlsLAw7I3xxb/DI6MzZSuwIAhCahAJniC8gaxZs3Lnzh1WrFiBJEls376d27dvg6RBzeKLnKsMcarMlN8W2zpUQcgQihYtytqNWylRtTmfTVlBbJzJ1iGlWI1yBalXxofBgz6ydSiZ0vHjx8mdIys/LdpGlfajKNF0GGFPxE01QciMJFW1+pKZiQRPEJKhZcuW3Lx5E7PZjKIo+FVugMbVE1QLKCZWbdxm6xAFIcN4Os/ZiFHj+W7exkzRIlOmaG6c9Crjxo62dSiZzp07t5kybxXzl26mTKnidO/WlQWrD9g6LEEQhHRHTHQuCClQo2JpFq1an/j4xt17mEwmdDqdDaMShIylVu3a3Lh+lc9+XIRWqyEyKpoujctQprA/FkVBq7HeXEipzd7OwNgPm/HV9NU8eDCAbNmy2TqkTKNWrdqMHj0GY8QlalQowsgfV2Kwd+bewxC8PbPaOjxBEFKTosYv1jx/JiZa8AQhBRrWqJLkcWxsHIGPRJU3QUiu93t/wPotuwjYsJ3lqzcwf/VhPhizkCkLNts6tLeS1ycrhw4dsnUYmYaiKPj6+nL79i0Mei1Ggw4nBzu+HP0NX/60il/+2mHrEAVBENINkeAJQgpUK1sqobVOAiTMikJQcIitwxKEDM3V1ZUt2/eweftezl69z7krdwC4eiuQ2Ut3cf3OQxtH+Hqb95/D39/P1mFkGn/88TsAeq2G7B5ZOHjyMhdvPKBs2bJ06NSVq7ceZIouvoIgJBBVNFNEJHiCkAJ6vQ47O3uQtCBpUVUNd+4F2TosQcjwDAYDzs7ObN2xh43HH3L+2n1+/GsvXQd8war9d5n026Z0XZglR3Z33N09bB1GphAbG0uPHu+zYsVyLp8/RcHc3pQukov29UvRslkjLly4QPfmlZAkydahCoIgpAsiwROEFHgSEUmcWYMkG5BkI5LGiFnJ5LeFBCENZc2alfm/L6JoiTKs3bCVChUq8Nvvf9Kt3zBG/bwakzl9TrHQtl4pZv7yk63DyBQmfzcRrVbD5g1r6d0qPpHT67S0rFOGno2Ls3/fXjbuO2vrMAVBSEWiimbKiCIrgpAC9kY7VMmApNUCEpIko0riYyUIqc3R0REHB4fEx3Xq1iUmJprJ837ks94N013rTXZ3F3afvWnrMDK8O3fusG/XZupUr8yNa5co2Lxlku35/L34a3I/0T1TEAThGaIFTxBSwNnRAVlnTGy9kzQGQsOjbR2WILwTmjRthl+B0hw5fc3WoTwnR7asRIbc4ejRo7YOJUP7fuI4Ojcuy/Vbd8jn6/7CfSRJQpbF1xlByFSeVtG05pKJid+IgpACdnYG9FonZNkBjRS/hD2JtXVYgvDOGP7ZSJZvO2XrMJ4jSRLli/lx+nR8bKGhoUwY9w2xseL3w5symUycP/svxQv4MfOrrrzfssrrDxIEQRCSl+BNmDCB0qVL4+joiJeXFz179iQoKGlBCbPZzOjRo8mZMycGg4H8+fOzZcuWxO337t2jbt265MiRg6+++ipx/Y0bN5AkiVy5chEXF5fkfJIksXPnzrd8ioJgPZIkYdQ7o5Xt0cp2aGQ7gh5F2TosQXhnZMmShWzefjwKfWLrUJ7zXtlCLPxtLg8fPmT2rJl8MeorHjx4YOuwMgRVVRnYvw8tahYFwD2LMxqNuCctCO8MUUUzRZL123Lv3r0MGTKEo0ePsnr1as6dO0f79u2T7NO3b19WrlzJr7/+ysWLF/n111/x8vJK3P7VV19RpUoV1q5dy6ZNm9i3b1+S4wMDA5k7d24KnpIgpC17gz0aSY8sGdBKBoJDY2wdkiC8U2rUrsep8+lvvJudUc/HHavRo2tHGjVuwjdjv8bb29vWYaV7qqoysF8f/FwtvFe2gK3DEQRByHCSVQ1i/fr1SR5PmzaNypUr8/jxY1xcXDh9+jQLFy7kwoUL5MmTBwB/f/8kx4SFhdGgQQOKFSuGt7c3YWFhSbb379+f8ePH8/7772NnZ5f8ZyQIaczVwZmQkPhWZwmJRyFiDJ4gpKWSJUvx7YqF+Hq745MtK/Z2BluHlCiXjydhYSEUL16c4sWLP7d95crlLP7zD1q2bkvnzl04fPgw5cqVs0Gk6cf0n6eRRfeEZjUr2DoUQRBsxNqVLjN7Fc0U9Xd49OgRRqMxsbLZunXryJMnD0uXLsXX15cCBQrw9ddfY7H8V8Z6+PDh9O/fH6PRSGxsLPXr109yzj59+mAwGJg+fXpKQhOENONkdECb0HqnkfTEifxOENJUiRIlqNGgFcduwRfT13MiHbXmLVp3mM5dejy3PiYmhhLFCrNwzo/ULO7O0a1/U79OzXc+ubt+/TrrVy2lfYPytg5FEAQhw3rreu6xsbGMHTuW7t27o9XGn+bGjRtcv36dzZs3s2zZMu7du0ffvn3R6XSMHDkSgPLly3Pv3j1CQ0Px9PR87rw6nY7Ro0fz6aef0q9fP9GKJ6R7bi4uaKXQxMdxcdYr1z5s2DB++eUXYmJi0Gg0lCpVinnz5lGsWDGrXVMQMoK+/T8EIDIykiYN65DNzQlvz6w2jgqu3g5ixPjOz603GAx4uLky9sPmAJhMFoq/1yqtw0t3Rn/5GYO61kp3014IgpDGVCtXuszkLXhvleBZLBa6dOkCwOTJkxPXK4pCXFwcCxYswM/PD4Bbt27x008/JSZ4EJ/EvSi5e6pr16589913TJkyhS+++OKN4woMDBQJ4VuIiYkhMDDQ1mFkWDISGjSJj1Wz+tav58vei+vXr1OjRg3i4uLw9fWlcOHCnDt3jiNHjlCqVCmqV6/Or7/+Kn7+U5n4bKQfyXkvfvt9MYcO7CNndh+bl8/v2ceX0NBQzGbzc9s+6Pchem8fzly+i1sBdyIiozLMz5u1PhvNWrTCP6/X63cUkpDtsqD3frdbf9OL9PZeKDGicu+7KNkJnqIo9OjRgwsXLrBr1y4cHR0Tt2XLlg2DwZCY3AEUKFCAO3fuJOsaGo2Gr7/+mj59+tC/f/83Pi579uziC+5bCAwMJHv27LYOI8My6AxIzyR4Dnb2b/16vuy98PPzQ6/Xs2zZMho3bowsyyiKwrp16+jUqRO7du3is88+4++//37r5yE8T3w20o/kvhd7d+9i6R9zaFW3jBWjerWjZ6+x7WQQf7Ro+1yLVN/ePcjvKRN314nNxwN5v3df6tVvQN++/TJE65W1PhsL5s1i4kdNUv28mZ3euxxx947YOgyB9PdexMWabB3C27F2pUtRRfM/qqrSu3dvDh48yJYtW8iaNWn3l4oVKxIbG5skobty5Qq+vr7JDqxt27bkzp2b7777LtnHCkJa0kpatOgSF4OsS9XzDxs2jLi4OBYvXkzTpk0TWyRkWaZp06YsWrQIi8XC0qVLOXPmTKpeWxAyqo6du3DgX9uOxTNoteTJk/e5hO38+fOEPrhJmSI5mb/mKDNmz6NGzVrExcVliOTOqlQJNZN3nRIEQbC2ZCV4/fr1Y82aNSxatAiIv4MXGBiYWESlfv36FCpUiD59+nD27Fm2bt3KxIkT+eCDD5IdmCRJfPPNN8yYMSPZxwpCWpKQkVVN4mLQvvXQ1heaOXMmvr6+NG7c+IXbmzRpgq+vL7Is88cff6TqtQUho9Jqtbh5ZifsSaTNYiiSz4fdO7cRE5N06pQV//xN3YoFGDtrPTNm/5akJ8y7rmLlahz694qtwxAEwcaeVtG05pKZJSvBmzNnDo8ePaJChQp4eXklLrdv3wbi/6CuW7cOVVUpV64cvXv3pm/fvgwdOvStgmvSpAmlSpV6q2MFIa0YdVo0yImLpKbuHfjY2FgKFy780rFEsixTsGBBJEkSkygLwjOat2rH1gPnbHZ9WZapXDwnO3fuTLL+yJGDxMaZqFWvMQUKiHnenvXhJ4PZuO+CrcMQBEHI0JLV1PAm3SZy5crFxo0bkx2Iv7//C8+/f//+ZJ9LENKSk4MBDTIQn9hFR1tefUAyGQwGzp07h6IoL0zyFEXhwoULqKpKtmzZUvXagpCRtW7dhrmzplO/alGcHGwzPttkVjCZ/hsDExERQcSTME5dVGjQtqFNYkrPJEkiJqOOGRIEQUgnbFteTBAyAVdnY0LbXfz/wh+nbsWq/v37c/v2bdatW/fC7WvXruX27dsoikLXrl1T9dqCkJFpNBo6du7O0dPXbBZDvpzuzPt1Nvfv3wdg69ateGU1EmZyoHnzFjaLK73684/fqV9ZtGoKwjtPSYMlExMJniCkkIeHI3L8SDxkZGKiUrcFb9KkSej1ejp16kRAQACKEv9bSVEUAgIC6Ny5MxqNhnbt2lG0aNFUvbYgZHRVq73HwTO3bHb98sXzsnvXLry9vfn31ElCQ4LZcfgCFrMpcQ5Z4T/bNm+gUsn8Vjv/rXuPrHZuQRCE9EIkeIKQQjm8nZCQkRL+FxubugkewISfZhMdHUPz5s3x9/enXr16+Pv707x5c6Kjo6lfvz4LFixI9esKQkaXP39+smTLxcnzN2xyfVmWGdilIT/88AMHDx3m/V69OXnqDOMmfm+TeNK7qMgI9DrN63d8C+t3/0vf0fMJCnlilfMLgpCKFNX6SzJMmDCB0qVL4+joiJeXFz179iQoKCjJPgEBAZQqVQp7e3t8fHwYNGgQsbG2mYdQJHiCkEK5/F0TOmhKaJBQUz+/Y/fxy8j53kPK6sPt23fYsmUL9+/fp3z58pw8eZJ169aJOSAF4SX6DviII2dt14pXrUx+Alb8TYECBciRwxt3d3cKFy5ss3jSsy7de/HJt3/z94ZDjJ+7gdXbTxBnen6S+OSKiTWxYOVefH28cHGyT4VIBUF4l+zdu5chQ4Zw9OhRVq9ezblz52jfvn3i9qtXr9KmTRs6dOjA2bNn+eOPP1i+fDnffPONTeIV/UMEIYVy5nQBQEoosqJYoV/3sXNXQdKizVYIshWiaY3yLJ8xLvUvJAiZkJ+fH/cfhdvs+l6eWRj1QX1+mPAlgz7+iJiYGIxGo83iSc+6dOvB+fPnmf/775z69wybNm7g0x+m80mn98iT8+0nVh8+aQnXbtxi7ZzP0OvEVx9BSPfUhMWa50+G9evXJ3k8bdo0KleuzOPHj3FxceH48ePY29szYsQIIL7oZLt27Th69GhqRZwsogVPEFLIaNShQ0aLjC5hSc2JelVV5XF4NJIkI0kaJFlDk1pVU+38gpDZubi4sGztDr78aYXNYvB0c2H8xy04c2Q7tapXSZw/9lnnz5+jXdvW3Lhx47XnO3ToINN/npb6gaYDjx8/xtfHB3d3dzp36cqyVeuZvGDrW58vMCiMnQdPsWb2CLJ7uKZeoIIgZHjR0dFJlmerHr/Ko0ePMBqNODg4AFCmTBmio6NZvnw5qqpy+/ZtNm7cSL169awZ/kuJBE8QUoFBK6NHQoeEFonQ0OhUO/e/F65hsqhIkgYkDZKkoWxxUWVOEJLr0MlLtg6BoT3q4+flyt27d5/b9jgsjAP7dtO9S/sXJoBPxcXF8fmwwYwfN57o6NT7XZNeXL9+jezPTPly7Ngxiub14vLNQHYcPv/G5zGZzOw+coEJv26icKECGA16a4QrCIIVSIpq9QXAzc0Ne3v7xGX8+PGvjS02NpaxY8fSvXv3xGJZuXPnZs2aNfTp0we9Xk/OnDmpWrUqQ4YMserr9DIiwROEVKDXyMiSlLjcvZV6g/jXbD8Many/Twkw6HQUzpMz1c4vCO8KrUaLKRXGc6VUxWJ+BKxe+fz6SpXx9/PDYja9MsE7ePAgZQp5U7ZEQWuGaTM//jwDvcFAo3o1aFK/Bp8NH0peXzdu3n3EmJ+WM3zKCrbsP010TNwLj799/xGjf1nD6DlbMLkU4LNR3+CX3QVXZzH2ThCEpIKDg4mKikpcvvjii1fub7FY6NKlCwCTJ09OXH/v3j369+/P0KFDOXbsGAEBAWzevJnvv7dNQS3REV0QUoGdXoMS99/gu4eBEal27s37j6ImTtgikcc3OxqNdarMCUJm5uXtxf2gMHJ6u9s0jiql8zNh/iY+/OiT57b99MtsoqKi0Otf3tokSRIWs0JBf09OnTpFxYoVrRlumtu4YT1nTp+icD4/zBYLzg56Nuy7gJ2dgYiIcLL75sbJrxJjZ/3BxEEtkxwb8jiCSQt38sfif/Dx8cFisdCzW2fa1i+LJEk2ekaCICRbGo3Bs7Oze+MidYqi0KNHDy5cuMCuXbtwdHRM3DZjxgz8/PwSE8TixYsTHh7ORx99xPDhw1M9/NcRCZ4gpAKjXibume8Oj4NjUu3cV27cBsUCCV9OKpQQ3TMF4W24umYhLDySnNg2wTPodcREPubRo0e4uyeNpVTpMq89vkqVKoz5cgTvlfThypXLmS7B+/Cjjxn44UdERkai0+nQ6XTIskxMTAybN22ieYsWXL18GS9vby7fuE8+fy8URcGiqEyav5npM3/Fx8eHmJgYunfpQKVCbpQtmtvWT0sQhAxMVVV69+7NwYMH2bNnD1mzZk2yPSoq6rmb77KcujUZkkN00RSEVOBg1KCV1fhFUgl/nHrjYsKehMe34KkKqCq1KpVKtXMLwrvk4cOHuDimj256/dpWpWvHtm/1x1+WZSZPnc6xK4/J6etrhehsT5IkHB0dMRgMyHL8VxWj0Uiz5s05c+YMd+/c4cSJk3w/fwsT527gwwlLKdNiBHkKl0Gv1xMYGEj9OjWoXzYHtSuKKSkEIcNR0mBJhn79+rFmzRoWLVoEQGBgIIGBgYnd6Rs1asT27dv58ccfuXbtGjt27GD06NE0adLkbV+BFBEteIKQCuzsZDRSwhc1CaLDU2diyzuBDzGb4wAVVZLRajQUye+fKucWhHfF0yQqMjLc5t0zn8rl60nNMn60aNqQ1Ws3Jvv4UqVLE7BukxUiS/+KFCnCTzNm0r1bN36ZOZv8+fMzf94c6lXIQ2TsfT4d2AOdUzbKFvKmXLHcPA6P4sc/t+GbPQt3AkMZ9n4DjAadrZ+GIAgZyJw5cwCoUKFCkvXXr1/H39+fOnXq8NtvvzF58mQ+//xzsmbNStOmTfn2229tEa5I8AQhNdgbZbQSkJDkxUS/WZnd1/lr7fbEAiugYG+0p4C/T6qcWxDeFeHh8XPgValUkYfBT8jm7mLjiOI1rFaMe0GP+W7ieN6rUYuwsFAaNmxk67AyhMaNm3Li5L/kyJGDHt06oTGFMbhrHSRJwmQy8/nUZTRo1gCA4LBwHLLmoF3vj3jw4D4jp00GxUzlknlpU6+0jZ+JIAgvpKjxizXPnwxv0tuie/fudO/e/W0jSlWii6YgpAKDXkYrK2il+C6a5thUSvACtpA40lhVyOfnLQqsCEIyRUZGApAnbz6Cw2w34fmLvN+yCnFB55g7bQyNGjWmSIE8tG7R1NZhZQi+vr7Iskyt2nWxmP/rb2WyWOjdpho37jzk/sNQcvl4cu3yBSpUqEDz5i3ZvH0vS1as5/Tl56eqEARByAxEgicIqcCgk/4bgyerKKlQil1VVS5cu5VkXfM6VVJ8XkF417i4uNC4cSMW//UXl2/cJyomdbpQpwZJkmhRuzSDu9Xj37WTWTJlAPfv3kZRkjlA5B3Wo2cvqtZtyXfzNhARFcPAbxZxNsiO/Vdi6DR0OiFhEWi0usQqmpIkodfrE8f2CYKQDqlpsGRiooumIKQCZ1c9WllBRQJUYqNfPD9TcmzZfwSzxUL87HfxX0raNKyZ4vMKwrsmOjqadevWAzDq0lWyuDjyXrlCNo7qxUwmM08iokRJ/2T6oF9//PxzMerbbzCrEp8O/5y4uDhCHz1kyuL9zPr19yT73717l6zOb1YaXRAEIaMRCZ4gpALVZEaW/rsdFPUkiieh0ThnefsvEON/+TP+Hwlf9Bwd7MjrJ8bfCUJyhYSEAKDX6Ti8fHy6brmxKCoe7m62DiNDqt+gAfUbNOC9qpXIl8cPWZKxKAr+vl4MGtAL92zetO/YhQYNG7Hozz+Y+9d6vD2caV2vrK1DFwTh/71Fpctknz8TS79/5QQhA4mNjMGgsaCX45e4qNgUT5Vw+NTZxKkRUFV6thHFFwThbRw9egSAapVKp+vkDsBo0PFeKX/mzJpp61AyrHnzF/Lpp8MZ+ukwRoz4jIKFi6KqKrnc4OCmP2nRtCH9Bwzk9OnTLN9yFJPJTFR0+um2KwiCkFKiBU8QUoFGBlmOz8UAjAYNTi5v33p36vzlxLlVnnYU793WNnOpCEJGF7B6JUWLFqZ6KX9bh/JG6lQqxC8rttC3/wBbh5Ih5cuXj6HDRiRZFxMTw88/TmXzhtXoZQtdOnVg5+69qKrKgHGLcXP3IDoqgla1ilG9XEEbRS4IQiLRgpciIsEThFRgijPFj5RL6KaZI1eWFHXPnPrb3zw7AtjF2YkCuXOmLMhUcvr0aaZOncqRI/GtIuXKlWPw4MEUK1bMxpEJwosdOXKMRo0asevEEVrULWfrcF7L1dkBrSWckydPUrJkSVuHkykYjUaGjficvv0HsnjRH1SsVIXo6GgWLvydWbNmJ+63Y88hNLLMypnD8M/hYcOIBUEQ3l767qsiCBlETHh04hQJGknF2dWYovNt3X84oXumAqjUqVLW5kUXoqOjadOmDcWLF2fr1q14e3vz+PFj5s+fT8mSJWndujXR0SnrlioI1mA0aFEtJozGlH0u01KzGsUZ/eXnPHr0yNahZCrOzs706z+QkiVLUqlSJcaM+ZrTp09z6NAh/l6yhN49u2FRFNZsP27rUAXhnSapqtWXzEwkeIKQCiIexyBJIEugkcCvgOdbn8tisfAoOBQ1IblDVejUtE7qBfuWOnXqxKZNmwgICODGjRts2rSJGzduEBAQgIODA2vXrqVr1662DlMQkjh69Ci3bt+lQsXK//WhzgAK5clBk0p+9Oze+bX77tyxgw7t26VBVJlPtmzZKFq0KOXLl6dd+/bM/e13oqOj8SlYns+nreDYmWtvNMGxIAhCeiISPEFIoRsX7qNYkn4BKF2rwFufb+OeA1gUC6CiqgpajYZqZUukMMqUOX36NKtWrWLx4sU0bdo0sVCFLMs0bdqUP//8k7i4OJYvX86ZM2dsGqsgPCssLJTwiChatWmb4eaWq1gyH8eOHefq1asv3Wfd2jX069ONkBDR0pdajEYjX40Zx+wFS7kd48aQySuYu2w3dx+E2Do0QXh3KGmwZGIiwROEFNqz8iRSwgx4ADqDFgfHt+8KNv+ftTw7C2cWF0dcnZ1SHGdKjBo1Cl9fXxo3bvzC7U2aNMHX1xd7e3umTJmSxtEJwsvdv3uHbl06oNFo0Goy3txy7m5Z8fB4+Vgwk9lC6JMoJv8wLe2CekfkyJGDUaPHsmXHPjp+8BnL9txi9C8BhDyOQFVV6vYYT8D2ExnuxoEgCJmfSPAEIQUUReH8kZsJj1RkSSV34WwpOueO/Yf5L8FTqFauVAqjTLl9+/ZRqFChl5aYl2WZggULIklSYvEVQUgP1gas4t7tm/w49Qeqlspj63CSLZu7K1rty+uhNW/enIuXrlK8ePE0jOrdIkkSlSpV4tf5fzBu8kzGzFjHlZuBtGzZEo1bIVZuFeP1BCHVqWmwZGIiwROEFNj+zwmioiwoSCgJ7XitBlR/6/PFmUw8iYxKsq5riwYpDTPFzGYzFy5ceOmdakVRuHjxIrGxYi4pIX15/DiUx08iOLJ3Mw2qFrV1OMlWp2JBJo4f+9LtkiTh6uoqxomlkcKFC/P+BwOZMn89eqMDZcqV59aDx7YOSxAEIQmR4AlCCuxadTLJzSB7Zzs8fbO+9fk27TmYZHJzSZKoYuPxdwA+Pj7cunWLdevWvXD72rVruXXrFmazmXLl0n8ZeuHdEBQUxN27d3kQ9IhPe9SzeSXat9HoveLs37WFc+fOvXI/iykmjSISsrq5c/jUZQ4d3M/okUO4cPlG4rbomDhiYk22C04QMgsxBi9FRIInCG/pyJbzhIdEP1OZT6JKk5S1EPy9dlvCv+JTRp9snjYffwcwZswYZFmma9euBAQEJLbkKYpCQEAA3bp1Q5ZlJEliyJAhNo5WEOJt27aVC1duUr18YeztDLYO563l9fciJubVCZxW//bzbgrJc+3qFUxmM4MGD8bRwYFSRfMxdeFWBn+/lFEzNjDsh2WYLRZbhykIwjtMTHQuCG9BURQCfjuEWQWJ+DslWq1Egy7lU3TeU5eugJRw30VVqVGxTIpjTQ2tW7fG29ubhw8f0rx5c3Lnzk3+/Pm5dOkS165dQ6/XA9CyZUuKFs143eCEzGnWjOnkzZObWuXfvqptelC9dB6+nTCWX2bOfWXBFSFtFChYkJUrV9CiRUuat2jF9evX0Wq15M6dG41Gw58LF/DXunV0bVaJew9DcHV2wN6YcW8wCIJNxJchsO75MzHRgicIb2HVrwcICY5CTRh7Z1GhWLU8KeoCZjKZeBIR+d8KSaJxraqpEG3qOHXqFBpd/JeUoKAgTp06RVBQEBA/Ru/pdAmCkB4oisKuPfspX748sXEZu8tcsQI5qVHMnd49u71w+61bt7hw4UIaR/XuqlevPi1atARg/fq1DOzfh6V/LSI8PBxJkujSrQeRUhZ+XrydBu9PYMikFRw5fc3GUQuC8C4RCZ4gJNO968HsWPVvwt0fCZDQ6LR0Hlo7Refdsu8wivLfLSWtVkO5YoVTdM7UlDVrVhwLVkDOlpfwWDP3Hzwk1mSmRYsWnDp1ilWrVmFnJ7qJCenD02quDvb2RERl/OI/1coWwhIbzrVrzycKk74bT+uWTUWhFRsoWrQ4pthYju3bTJeObVETxk5PnzmHPoPGcPbsWbbt3MuuM8Es23TU1uEKQsYhqmimiEjwBCEZYqPjmDp8LabYhN8NCV0063cojU6Xsh7PqzfvSvLYyd4BX++UTbmQmuLi4oiIjEB2dEWbsyja3KWZPHM+K1euFN0yhXRn1fJ/8MruwRejRjPjr+22DidV9GtblV5d2/LLT9OSrL9/7y61KhRiwrhvOH36NBYx/ivNFChQgN37D1OpVlO279zDxx/2T0zy/Pz8WLtmNXq9ngV//IUxe2G+/20jJrN4fwRBsC6R4AnCG1IUhfEfrSIkOBqzCmZFwqJAlmyONOqasrF3AHuPnQDUxKItuXy901XVv0MnzmIxm4mPUUEjSxQtkNvWYQnCc1RV5dDBfRTKn48cOXLgmyP93ChJCb8cHkwc1IpFixbSpWN7Ll26BEBYWBj1KxfGMe4GsyZ/QeO67zHoowFiAu40Issywz8bycLff2fO3HmM+epLAPr27sGN03sY0K8PsbGxfD5yFG26DeDzaStEkicIryOqaKaISPAE4Q3EJ3eruXUlFFWNn+9OUUHWaxn2Y5tUucatu4EJyV18kleltO2nR3jWkTOnUZ7pAmbUaSiUN5cNIxKEFzt69CgF/d1xMMpcunQJnSyx/eCrpxnIKBzsjXw3qAX1y3jSvVMbLly4wPSZvzI34BSPwqLo1646k4a2Iqv2MV+P/tLW4b5T2rbvQO/3e7BryxpWLF+Gnb092w+dp1B2aNusLlUqlGbKpEnEWmQio8S0FoIgWI9I8AThNeJizXzecxmXzwShPG1gS0jy+oyqg3NW+xRfIyYmhpgkk4SrlClWMMXnTU2nz19N8tjDzZ3sHu42ikYQXu7X2b/QuFpR3J0NfNj/A0IeP2Hm3zszTauJq7MDJQv507fde/z84xQKFizIkn9WsPf4lcRxeM1qlmTfnp02jfNdNOabCaDR8+2Eb9Bpdfjnyk2xfD5M+KQFNcrm5fCx4zjqzLg4pfzvhiBkamIMXoqIBE8QXuH+nccM7rycm1efYFb+a7lTgFa9K1Cqcup0Udx79FSSx5IkkcffN1XOnVpu3L1P/IjDeN5eaVOu3Ww2ExcXlybXEjK+6Ohobl67zM17j9h/6ibHT57CwdGFfv0Hsn73SVuHl6pKFMzJqZPHiYyMxM7OjpJlKnD5ZiAAGo2MTqezcYTvHg8PD2rUrk+DyvlpUdmHioU8cc8SP5dpzuyufPftRN6r24L5K/fZOFJBEDIzkeAJwktsX3+JDzuuIPBeJAoSiiqhKBKqJNOgfQkadyqVatc6dPI0qEriIssyuXy8Uu38qSH48WOQpPh5+iSZvDn90uS6Dx8+RKPRpMm1hIxvxfJlvFc6F3eDHtOseXMK5PKiZZv2LJg3h2plMvZ8eP9Pq9HQo1l5PhrYD0VR6PVBf35YsCVxkm0HgySmT7CBT4d/zr5Tt8jt60nremUTx1KXKOjH3l07qFqtOuGZoLKrIFiVIll/ycREgicI/8dksvDNsG1MG7cfk0lFUcGikDDfnUTLnqVp369iql7z/JWkpc/1Wg0eWbOk6jVSSlL/S+6QZJwcHNLkut7e3iLBE97YksULqV2pMBevP6R2nbrky+3Llo3ryJY9O3YGva3DS3UViufhxqXTdOnSiaJFi2LvlIWB4xZz7Mw13m9RiQnjxtg6xHeOo6Mjrdp1ZtO+M0nWO9gbefI4hDmzptOlScoLcwmCILyMSPAE4Rl7t9+ka/Nl7N11B5NFjW+5AxRVQpIlPv6mFi27l0n169689+C/5AkJJwdHZDl9fTztHRyRJC1IepD0WDJ5/3Uh47lx4wZOehV7o4Fsbs6cOnmCy9duo8paYqMjEltSTCYz4ZHRNo429Xw1sAX79+7h0aNHbN2+k9XrtrD3YgRLNhzm4pmTrFy53NYhvnM+6NufjfsvEhWdtKVOo9URFxuLUS+6zwrCK4kxeCmSvr5BCoKNBN6PYOD7axk1YgdBQTGJSZ2qxv/X3lnPlIWtqFzTOtMCPHz0BCRt/CLrcHV1scp1UiJH9mwg65EkHZJs4O6DUFuHJAhJzJ45nabVi3Dr3iN2HTlPdGQEXd4fQFRkOJ0alsFoiP9SfedBCFXaj+JxeJSNI04dbq5ONK5RmnPn4iuFenh40KRpCw7+e5PmbTpSunRZG0f47tHpdEz4bgoT5m5InK4iJtaEo5Mz+QsW5Nb9YBtHKAhCZiYSPOGdZrEoTJm4n47NlnHm9CMAVFRUNf7mjoJE/qIeLFjbgRz+rlaLIyI6GkmSExcXZ2erXettlS9RFEljTFz+vXrf1iEJQqKoqCiOHNxLkXy+nL50m8+/GM3osePoP+BD/lm+msUbTwLw9YzVnL8WSNYsLvyz+Zhtg05FDasWYf682YmPNRqJGzdvMfLL0fj5pc14WSGpipUq077bB4yYuoLxswJYuuEgHh7ZWLVqNU4ORluHJwjp2jNlCay2ZGYiwRPeWccO36NNwyUErLiESnx9yGdb7mWNxIBhFfjh1ybodFqrxhIdawY08Yukwc01fY2/A+jYqDay7ICscULWOBDy2GTrkAQhUeeO7WhbtySSJFGqsB9zZv3MxYsXAfD09MTJ0ZHIqBhWbz5AUGgElcsW48T52zaOOvXk9Hbn4rnT3L4d/5zc3T3QaDSEh4fbOLJ3W6fOXfntz+XUb9mNnMVq8MmQYfy24A9+WrQzcUoLQRCE1Gbdb62CkA4pisKk8fvZtukqMTFK4ricZ+spFSnpwaTpdTEYrD9OQlVVYkxa0NgD8fFk98xm9esml28OT7Qae1Q1/pWymDSEPYnE1Tltiq0IwstYLBbu3b1DWIEsDJ+yAkmSKJbbnYIFCxIXF4dOp0NnMCBJEmazmbw+bhTOnZ1en8/gwMlyVCqZz9ZPIcUkSSK3bzbMZjMAlSpXITo684wzzMi8vb3p+X4v2rVpwbEjh/hmwvdUrFaLk+dvUKpwLluHJwjpk5KwWPP8mZhowRPeKaEh0XzYcx2b1l4hKkZJ8vlWAWcXPdN/a8RPcxulSXIHsPvIWVRJj6wxIslGJFmPl6dnmlw7uewMDsiSAY1shywZuHjjga1DEgQ0Gg3bdu7l88mLqN2gOQEbd1KxbnsA5s37FYBPBg/n65lr0Ot0bNh3nj9X7yaHtxfLtl9g8/9VO8yIYuNMXL8bjL+/v61DEV6iVq3aXDz3Lz06t2bTpk04OdjZOiRBEDIp0YInvDOunA9i7JAtPAqJRaNI6JGIQUVWVTQaiaYtCzDks0ppHtdf6w4gy3aoqoKKgkYGn+zpM8HL6uxKUHAUICMhce7KfSoUt07hGUFIDkdHR65cuUJMTDRarZYuXbuRN18+KlWqTMECBalRsyZu7nO5desWJ48d5tDho8h3QqlWvSafjh7Dyhmfkidndls/jbf2z6ajDB3xRWKPBCH96TfgI8LDI9CFX6ZYfh883dJfMS1BSDdUKX6x5vkzMZHgCe+Ew7tv8NPXO4mIVtFIoErxUyDoVQk7Zx2/zGlA7rxuNoltz+FryJIDKmZAwdneSJG8/jaJ5XX8smcnLCS+1U5C4uS/d6GVjYMShAS5cye92VCxYiU6tGtD9+5duXnrDkWLFqVo0aI0atQocR9FUVAsJjbsPcGHnTJmghcZFcPe45eZOKOlrUMRXqPfgA/p1q4JtSsVsXUogiBkYqKLppDp7dt8idnf7iYq2gKqiiypaCXQS1C4iBtrt3S0WXJ36Xogj4Lj0MlGNLI9WtmeHNmyUbpI+hyXUbKgHzrJiE6yQy/ZcfXaE1uHJAgvFRUVRdFixbl1++5Li43Isszor8eRs0A5Fq87mMYRppzJbGHkT6v58JNP093cmcLznJyciLPYOgpByACUNFgyMfHXQMjUdi4/zqIp27BERWPUqEhSfNUyWYYmrfIx4/emaDS2+xj8HXACWdEho0cr6dHKBqqUKoSdUW+zmF6lfLFcGLDHgB061Y7wUPFNRUi/WjVvwpQfJjP80yE4OTm9ct+Ro0ajOuZk0dpDaRRd6vj3wk3qN2pOx85dbR2K8IYcnVx5GPzY1mEIgpCJiQRPyLQ2/babrX/uR6+aMWot6DUW7DTxXTS79ivFwM+q2DpEjp96gFayxyDZo5fscTI4UTRf+p2zKpevO0bVGL9ggFjRy1tIvypWqsTj8Ai8vHNgMr16Wg9Jkvj2+x+4EhhFcFjGmVrg/PUHlKuQ9mOHhbc3cdJUxs3dxOUb92nz8TS+/XUD1+88tHVYgpC+qGmwZGLi25mQ6SiKQsDkAM4fvYlkBr0mfr2qxk/+22dwVWo2KWjbIBME3o5Cj13CmEAFJ72OkoV9bR3WS2VxtYtP7BJmDtQpqd/SePr0af78808ePHhAtmzZ6NKlC8WKFUv16wiZ35ix4wkLC2PwkKGsWb2CDZu3o9e/+md24MdDCFj0Mz1bVk2jKFPm/PUHjK1i+5tVwpvLnTs3y1dvoHuXDuTP5c2ZK/cJXXmMioWyUa6oH9k9XNFqNLYOUxCEDEy04AmZSlxkDCs/X8CtY5eRzWZ0soJeA3qNiqNR5aNv6qSb5C4kNIq4cBmDakSvGjFih6eTC/n8bTMe8E345XTFXtZghxY7NBCjEhKSOnNtRUdHU6VKFYoXL87MmTPZsmULM2fOpHjx4rRv317M6SW8lWk//cKyZUuJDg+hds3qr92/Ro2anLoc+Nwk1NP+2MqMJTswmczWCvWtSJKU7Amzz58/T948ubh3756VohJeJ2vWrKwMWE/uQqXJ4qAhJjqaMDUr/+y5xchpK4mKibV1iIJgW4pk/SUTEwmekGkEX7zF5i/mEHn3AXpJwaBR0GkUdLKCg4OOT6a2omTl9FPS/9/jD7FXDDhjjyNG7FUj2VyccHFOv3MjSRIYJBmDJGGQJDQWlcdhMSk+b0hICB4eHhw9ehQADw8PSpQogYeHBwCrV6+mU6dOKb6O8G5q2bI1EdFmcmTVs2H9+lfuK0kSPr45uR8UCkBUTCxmi4XHETEULluXKh1HExGV8p/51OLuYs+ZM8mbx29g/77UqZCP97t3RlEyeaWBdEyr1fLjzzP5eNgoLl66wtQfp1O6TDlGjvmWkT+u5tyVO7YOURCEDEokeEKmcG31Vo79sABzaBh6ScEoqxg1CkaNgouLnsEzu5Azv5etw0zi+oVHOMrgLMm4SnrctEb8PNP3vEjBjyIxSAoGWcUgq+glldS4B1akSBGio6Oxs7MjICCAy5cvs379ei5fvkxAQABGo5GAgIBkf5EVBIivlPnrgj+ItBgTK02ePHmSmzdvYjabiY2NxWw2ExUVhaqqBD96RIP3J1C/13d89/teRkwLIPhJLD179SImJpawJ5E2fkb/cXN15MmT5FWz/X7yD8z+awtXr1xm2tQfsFhEsSRbatW6LVev32TsmFF89PEgWrZsxcTJP7N4ywWu3Ax8bn9VVdlx6BzzV+7j1PkbaR+wIKQBVbX+kpmJBE/I0EzhEZz7fjr3129DtsShlRR0koJetqCXVbz83Pjw1744u7+6gp4thD54gr1WxV6r4qhRcNKpeHkYbR3WKz24Fx6f2CUsdnpwdU1ZzMuXLycwMBBFUfjjjz9o2rRp4pdwWZZp2rQpCxcuRFEURo0alRpPQ3gHlS9fgTXrN1G/QQPCwsKoXLkSbZs3oFXjWrRvUY+WjWrSrnldcvvnRNJoKVW8EPcfBDFz7nw2b9/Ljt37cXR05O8lf7Hn2BVbP51EFYr7s2TxwmQdU6ZMWQC+HdqemPunaNW8MQ8ePLBGeMIbMhqNjBo9lpiYGDp36UTzpo2o37AJy7cex2JROHflDpEJLccLV+3lk29+Y/6ybew894RtB8/ZOHpBENIbkeAJGVbQ1q1cHDuOqOs3QI1P7AwaS0Jyp5CrbG7aT+qJVp8+awnFPo7EXmPBUWfBQafgbAQXx/Q9sP78iXvoNRYMWgt6jUJ2Lwdcs6asS+n333+PVqslZ86cNG7c+IX7NGnShJw5c7J3794UXUsQAFxdXdmzZy+VqlYnNs5Mn1aVmfBJCyYOasXnHzTB3d2dw8f+RVVVsmXLluTY1m3acvzCXRtF/rz8/l7o4oKZM2vmGx8jSRL161Qnl48nTWuWokaJ7Ez9YZIVoxTelMFgYMiQTwmPiGLWrF/Ikbc0w6auYs/FKEZMXUVwaDgdm1SiR9s69O3Tmxmz5hKw80yyx2EKQronxuCliEjwhAznyeH9XB8zkkerV2KOiAFVRYMSP4G5rGLUS5TqWIuaQ9ohSen3A6wjFge9GQedCUd9HM5GC05O6fsjeXr/TXSyik5S0ckKeQtmTfE5g4ODMRgMFCxY8KUTNcuyTIECBTCb01eBCyHjKlOmDD9On8XCJSv5eelBFq87SJzJTKWSefG0N9G8UR06tG3B3btJkzmNRkPx0uXYeeSCjSJ/Xt921Vnx9+88fPjmpfaHjfiCBr2/IzwyGo+sLgQErLZihEJy+Pn5cfzESeyNRr6fNBmjvSPdevRi7oJFfD17I5//GEDpKo34dtIP6PV6mrZoQ1BIxpnaQxAE60ufTRuC8H8sERGEb11N5LEDxIVHY1Z1gAZZVpEVBY0MFkVBb7Sj9NBeuPjlsHXIr6XHhJPenNARXMJgMKMjfY+FCbkbjEFjQUVCUaFMpZRP6eDm5sb9+/c5f/48iqK8MMlTFIULFy7g4+OT4usJwrOyZcvG+k3b+Gfp33z6wzT6talMlyYVALj7IISundqyZfseNM+UrR8/cRLtWjfHZDJTp1IRm99IkiQJg0GfrFac0mXKEhQcyrGzN9m47yyrAtZZMUIhufLnz8/BI8fZsH49QwZ9RLMmDahYoQKz5y0kX758SX7m+vYfyNqAVbimv5EIgiDYSPpuLhDeWaqqEnvlNE+Wz+HhxI8J/Lov4Xu2YIqIRiH+i5aEioyCjIpGlnAvlp9KU0ZmiOQOwKBRsNdZcNBZcNCZcdBZ0KTjBM9stqCaTQmVSS3otQoFSqS8cM3w4cOJiori9u3brFv34i+Za9eu5fbt24wdOzbF1xOE/yfLMu07dGT1ui0s3XGFgO0nAMiRLSu1yuZm7pxZSfbX6XQsW7mGGKM/Q6esZt6KvTavRhn4MDSx6uybyJIlC3v37mXBil3Yu3iQL18+K0YnvK2GjRpx+txFvvrqay5cuEDtGtX4bPhQIiP/K/Rjb2+PVqfDZE6/fz8EIdlUyfpLJiZa8ASbs4SHYLp+GuXeVSz3rmEOvIMSHYtqAbNFQlE0oGpRE+9HqPHJnayiQUV2ciBnr5445str0+eRXM72EuHa+D/IEip6rRli00/59f93YvcVdJIFVSPFTxqv0+CeLeW3jFu3bk3OnDkJDAykc+fO/PnnnzRp0gRZllEUhbVr19K5c2d8fX1p2bJlKjyTZLDEoMSFgcYBWaNL22sLac7Z2Zl/Vqzm24njGDMjgEFdatO0Rgm++GkxDwID+fDjQVy/fp3IyEgePHiAX+7cDCk7knt3bvHlz38wqm9j7IyvnkjdWiqWyM3WrVupV6/eGx9TuXJlvp3yCwUKFHjrVsg7d+7g6OiIq6vrWx0vvJ5Wq2XAhx/RuWs3vvl6FAsWLGDZP/9g7+hM0SKFaNq8JRpJRWsQ9+wFQYgnEjzB6hRFQQm+gXr3POrD61geB6EGXkOJjgaTCdWioigSqqpBtUioqgSqjKrKSMhI0tNytioSErKkogAaoz0eTVuSpUpVGz/Dt+NiJ/FYZ0FS46ca0Mlm5HQ8mff+VcfQymp8eWEJ/Aq6p9q5T5w4QfHixbl//z7NmzfH19eXggULcuHCBW7fvo2Pjw8nT55Mteu9iqqqKCGnUIOP4BRyBeWhFpQ4FIM7knNeJLfyyA4p75oqpE+yLDPyi684caIpnw7+kI71S/DNR83pOmIuq1ev5uy588S9YLLziuXLMnvpDj7pWs8mXTbz+rpx8vixZCV4kiRRt25dLBYLfy9ZQpasWXFzc6N06dJv/By++HwYgYEP2LRl+9uGLrwhFxcXJk/5iYEfDWbYkI9ZvmotZ86eY8nS5WzfuArJLCqhCpmHqsQv1jx/ZiYSPCFVqKqKEnob9c5J1ODrKHfPQmQIalQ4KEp8wqaAqkiAhKJIoMigxid0ibOpPf1OkdB0LkkqJCR3oCLp9Riy++DatDX2eQum/RNNRc6OWlx0ZiRFBQk0WtBZ4mwd1ksF3wlBK6nxPRuA0tVSr8U0a9as3Llzh89Gj+O7CeO4ffsOt2/fAZ2B5cuX06pVq1S71uuoQXtQH+6DuCdIlsdg0kFcCDy5ghq0G/XaPBS3Ukge1ZHdqyJp7dMsNiHtlCpVivWbttO9SwdiYuPw9srO9FnziIyMpHDhwhgMBiD+BtauXTt5v2dPDh4+ym9Lt9CkdnmG92qMq7NDmsVbtWxBRv64knoNGlKyZMk3Pu70v//Sq2dXKhbLiYuTPQtX7mLhor+pXr36Gx0fFRmBUY7jwP79VKpc+S2jF5IjV65cLFu5hr179jBk0EDu37uHR1Zn1DevsSMIQiYnEjwh2ZSYx6i39qPePo4adBHC7qMqKliU+NY3BSChf/NL7pBIEolJnSSBpEqoxCc68cmdAsig0SAZHTHkzIf9e42wy/P2XYnSG6NsxllnJn7ojoqskdDERtk6rBcKCwoHsxnN0x5AkkTuEqlf8OTL4UOYtnRzwnim+JsB9m7eqX6dl1Fig1Ef7QdTKMQGI8dFAIb4JmQ7T5AlsEShhh5FfXwS5dEmJNdSaDzqIhmyvfb8QsZiMBhY8Mdf2NnZMWH8ePLnz//cPrIsU7NmLa7fuElYWBgTxo9j0uQfWLvtME3rVGDcJ23S5HeWVqNhxPv1ad60EVeu3USne7Muxe3ataVaKX/6tK0BgCxrWTBvNoULF36jMX2FChfDXQ7ki8+GsnXnvpdWwhVSX9Vq1QhYt5lundsRERVD2t1OEIQ0YO1xcmIMnvAuUxQT6r0DcGMb6qNzEP4gPveyJHSYNCd2nIz/rCRUhHwhKb5L0HOF3hK+/EgGO3B0R+vkgZyrGLpS1dC7uFnx2dmWg0HFWReLYlGRVBVkMwZT9EsrSdrSlgU7kaWExFxVMToa8PJL/ffG0cEe96xZeBgcSnwNKIlvfvmDBtUrpvq1Xij4MKrpCao5HMnymFincmh9KiLFhUL4ZdTIa6BzQjI4o8beQ31yElU2oTzeg+RaAk32rsgaUcouMzEajQQGBr5RERVXV1e+nzSZceMn8PWYr5gw8Tty+3jQvWU1tBrrz3Hp5upE/451mDZlMsNGfP5Gx+TJ5UenJpUSH7epV5p/L96ibcvGrNmwDSenV/88D/l0OB1bNaJqCT+W/LWYTp27pOg5CMmTPXt2Vq/dxJbNm9i6ajc9WlRBp03f86kKgmB9IsETkrDERSDd2ox6axs8OgtKQlUuNeHLvfxfkiapz+dzkiTxXKHup10stXagtUNy9ETK4oOcPS+yfxm02XyRpPSV0KQFO72CoyYGpPjXWNZo0OpiMD9+jD5LFhtH9x9VVbl0+FpCe1r8/+Ut7Wu1VokG1SuxcOXmhEcyx85dJSoqBnt7o1Wu9ywl9i4QB7KK6lqYaPfuuGTPnrhdNUegPNiBEnoANDKYdaiRZ8G5MGr4UcxR+9BlH4jGsRKKonD64jX+2bCTnYf/5drtQB6HR6MiIWs0aGQdOp2B3L7Z6NioOh+0r4ujQ8omjRes4/8nO38dvV7P+AnfMubrb5j/268MmbSAuhXz07BaMasneo3eK86IKcup16ARJUqUeO3+9+4H8sn4P/hz0oDEdcUL5KRhlTDGfPUlnw7/DC+vl1fLjYuLw8HeQIvapRg+9WeqVK2Gn59fqjwX4c3Y2dlRvkJF4uLiGDH1R4rm8aRb80ppclNBEKxGtOCliKQmZ+KcdCo6Ohp7e3uioqKwsxNfkJLDYo7hyb9LcQ7ZC6EXk446ffaG9TND4SRFQjUTP37OlPBfM4AGZAOqvSdk8UH2LAS5K6H18H8nE7jXuTNjKpEXLsQnTpKKpNEiefvi1aYD9v65bB1eoh1/7GbP8mMJPwMSkgydv2pJnlLW+RJ3/c49CtbvntDSq0GSoGPTuiz4dqhVrvcs05UpqBGXQTUhOZcg2KEt2Z9J8J5libiA+mgTSsQJFPNdcMqHKpl5EnmfDacKM3HBNa7fCQIpviUSSYOUsCQ+lp92o5ORJQMujg50b1mdsR+3RacTX86eFRgY+NL3Ir0zmUwsmD+Pv/5YwHtlctG0Rkn0OuvdXw0KecJPf26jeYee9OzZ65X7Pnr0iFIlivH31IE4PXODQVVVdh4+R8DOs3Tp2ZcuXbuh1f4X87PvR8O6NZjwUSPuBIbw5+YL/LV0RbrrhZDZPX0/VFVlzuxZ3Dm7i3YNytk6rHeS3rsccfeO2DqMRDGxJsq3/jzDfEd++p0+bFIN7PTW+zsYHWfBddjODPO6JJf4DfwOsgSdwLL3Uywra8HqujhfnQuh558vKSS94N8JXfTQGcHZB6lgY6RG36PptwX9wG3o+6/H0H0Bhmbj0FXsjM4zt0juXsKoN2NnNGOni8WojcOojUWvRKE+fmTr0BJFPYniwOrjiS13kqTiniMruYpbr4pkLh9vCuXJlZAMaQEtyzce4GHwY6td8z+xoFVAp0XSG165p8axIFr/T9Dk+RrZrT6K6QY7Tj2m+RdR9Bm7h+u37wMK//VJVhOW5z2tFvskMpbpf27BvcJAhk5YbPO51YTUodPp6PNBPzbv2Ev+co0ZOnk5p87ftNr1PLI680XfJixb9CsfDezLrl27iI2NfeG+7u7udOjYkVVbjydZL0kSNSsU4dvBLbl5agu1qpV/bj7Ap+o1bMzBk1fwz+FBMT9Hxo0dnerPSXgzkiTRoWMndh+/ytVbgbYORxDe2tMqmtZcMjPRgvcOUBQz6o31cPlPiLr/34aE75tPu1s+993z6TpJBw7ZwLsy5GmOxiVnmsWemT3+6SNMD++TWJZSo8OSLQ/OVetjVzJ9TP2wYNif3LkS9MwaiTYjmlCwonXnHNx56BQNe49Cje8TjCRpaFyjHMt+GmHV65puT0eNvYGqqsj2+QnWNH+jViNVVfl14Q98OmkJUTEyyDLxrY8ySJr4VjxJRpK0SGjj+zvL2oQEFiT0yLIGCR0gIUtaQEan1bJq5kdULSMmoc7ILXj/Lzw8nCGffIgS+YDuzSuTxcV65TGu337InhNXuHD9IRY02Ds64+6RjcpVqmGKiyU2Noa7d++TRblD/Wov79JpMluYtWQHT8xGxn87GQcHh8T3IyQkhDbNGzJpaCv0Oi3Dp6zg75UbcHZ2ttrzEpL6/89HYGAgQwd9iIsulp4tq2A0iHk804powUuZp9/pQ7+zfgtelhGZtwVPjMHLpBTFhHp1BVxYCOYnyTtYYwdZC0KuZkg5a4muNlYQc2E3utjryHbmhDn/NKCRMDtp0OjSx+t99fhV7l0Nii9smrAuZ2FvClTIY/Vr16hQgiL5c3Hm8h1ABgm27D9FeEQUTo7Wm5ZA1dujWCRQ41B488/NzD//YfC4v1FUACWhCGz8qEW9HsqX8GXipyMoX7xQkrGLj0Ies2jNLn7+cysPHoUDIBH/B02SJMwWhaYf/ES7hmWZ9U23TFNB9l3n5OTE3N9+Z9++vXw/4Ru8sujo1qxiki6SqSWXrye5fD2B+BsRC1bsZuqcX5k951cqlSrAgRMX0eu07Pjz1a1uOq2Gj7rU4U5gMB/06Mjc35ckbsuaNSsDB33Kt3N/4oO2NXivdG6W/7OUnr16p/rzEd5M9uzZWbRkGRvWr+f7OT9Rv3wuKpSw7o05QUhVYgxeiqSPb5JCqlAUC+aLizBvaIyyphacmf7q5C7hZ1vRGCB7Rag5HU27PWhab0ZT8yc0/nVEcmcFpjsnkPbPRdLEodFbkLUKGh1oHO3AzoiUTiqH7v1rf2LvQgnQ6jTU610jzZKMud98giTJCUVWJUwmC4vW7rHuRXV2WDSRmDXRWDRvNmXF8g3b+GrqLJQknSEUZElhzvgC3Nqfl39+9aB40QfPvXbuWV34pHszrmz5ifAT8xnYuS6yJPP/v5qXbThFiUbjXjjBtpBxValSldXrNtGx96d8OX0du45csOr1JEmidqUitGnZlOjoaAZ//g0liuRn+x+j3zi59MnuRtu6Jbl961aS9S1btqZmo3asPhTI9qM3cHN3t8ZTEJKpYaNG/L54BReDDYyduYaQxxG2DkkQhDSQrG/vEyZMoHTp0jg6OuLl5UXPnj0JCgp64b5Hjx5Fp9NRtWrSrmb37t2jbt265MiRg6+++ipx/Y0bN5AkiVy5chEX999kz2azGUmS2LlzZ3JCfWeoqor56l+YtzRG2VATLs8C05PEaeheTAKnPFB6FHKr3YRU+hNNtUloPF5fcU1IGfOtA7D3eyRzELIuFllnQdYpSHoJycUJ2RyBJpvtK9AF3Qzi4a1H8XMUEr/4FfMhey7PNIuhVOHcZMvqAshICXcjNu4+YdVrqjp7FL2CarRD1b0+kb3/8BE/LljM4ydJb6Tk9MrO43+n0KyBhKpzBElLuGUJMcrRV57v2087EHpsBs1rl4ofl4eEhAZZ0nA/6Al5a44iPDImRc9RSH+q16jBhi07CVaz8eXPqwh7Emm1a/l6uXHxwgW6d2nPLz9Opl3DCjg7Jq/lsEQhP4KDk/7tl2WZAQM/YvrMuWzZsYdmzVukYtRCStjb2zPph2l8Of5HJszbxurtJ8gEo3OETE5VJVTFiotowfvP3r17GTJkCEePHmX16tWcO3eO9u3bP7dfdHQ03bt3p0aNGs9t++qrr6hSpQpr165l06ZN7Nu3L8n2wMBA5s6dm7xn8Q6Ke3QQ0/7WmLfVgOszwRye8E1c+u+/z5L1kL0y1F2CpuVuNHUWoPGrJ7p8WYmqqijRwVgenUa5vRXLhUWYN38Au0YiRd9FkqORDCAZLEj6WGQHDbps2VCyuiHrrD8dwOsc23gSkynhQXzBR2p0qJLmcRTLnweJ+PFsoOHW/WDrXlDnjKp3jE/0tK8fgT3zz6UcPnkmyTpvTw+u7lmL0VAFe7t+IDtgJhCt5MtjywxMliuvPKckSSyc1Iftvw9FK+uQn+lJHx1jpkTD8TwJF0leZmMwGBj99Tgm/DCLL6evISrmxUVRUkqSJBZ+24chHSrw8+ftaFoj+Tf2HO2NogBQBlSiRAk2bNmJq39Zhv2wnDuBVv59KgiCzSRrDN769euTPJ42bRqVK1fm8ePHuLi4JK4fMWIEDRo0wMnJia1btyY5JiwsjAYNGlCsWDG8vb0JCwtLsr1///6MHz+e999/P1MOekwJRVEw3fwR9eEGJNUCFguSVgILCVVSAEWNT/AUNX4sXY7aUHQgGr2jLUPP1FTVghJ5HiXyOlL4HaSoB6gRoUixcRARiBr9BNUUl1C0RkpImBImFtTIyHo9ZCsAji6Y3Urb+umgqiq3/03a/crOyQ6vfMmbCyw1+Pt4JrlZER0b94q9U06S7EGjB0mbMO7Q8tJ9w56Es2zDViyW//aRJYnre9clPjZqyqKo0USzDRPX0Ck+hJtn4Kz/HK3G45WxlCrqz5Xt4ynVeALhUfEJnYRMVJRKifrfcXrLCBwdbH8zQEhdRYoUYeL3U/nss6H0a1OZwnl9Uv0aGo2Mvd2rq8S+lqqgqmriTUJVVTlw4ACfj/iUkV+Mon6DhqkQqZDaZFnmw48G0aJlG3p0aU+fluWt8jMmCCkmxuClSIoGWD169Aij0YiDw38VwLZt28aWLVsYP378C48ZPnw4/fv3x2g0EhsbS/369ZNs79OnDwaDgenTp6cktExFURSibnxN9LnGKE/Wg15FlaWEBCFh2oKn76TOEXJ1QW6yHW3TzWhKjxDJnRUoSgyxln+JjPqL6KCJmIOXoz4+hBJ8HOXOQQg5iRp2BmIegRLHi2aKkDQaZKMDUs5ySFlzIHnkR3HNnfZP5v88vPGQkKD/63JYJIdNYokzxYFqSVy0Giv/QtYYULRaFI2MopUB00t33bL3IDfv3Euy7rP+PZ8bt2qvrYZRLoPW7IKqPEFVY4kyLURVX5+sujjZcWn7GHw8syAhI6NDRiIuTqFE/UnExr08PiHjqlylKqvXbeGfXVfTbXc6d1dHGtV9j1bNG9OhTQsa1K7Kkrnf0adFWSaO+5rQ0FBbhyi8go+PDysCNvDHxjNs2vMvZsvLb2YJgpDxvHUVzdjYWMaOHUv37t0TJz99/PgxvXv35q+//sJofPGd5fLly3Pv3j1CQ0Px9Hx+PI9Op2P06NF8+umn9OvX751vxYt6NA/Lk1VIioKkUVElDZgVJBRUrYwaZ0HWOIB/JzR5uogul1akqrHEmU8RZzmHhXtYZAsyKrrIYDRXLyNHxFdBRH5m+f+5BGUSutHagZ0HZCsOWfOCc05k71Lw8GFaP63n/LvtDJZnanlIEpRpVMomsdx9GIzK065gEq7O1qugGX8JHapGfqbV8OVfek6ev0yc6b/tEvD1kAEv3NdeboIqhxBt3oZO9ifOcoKo2OU4GDu+NiStVsPRNZ9Rvd1PXLsZHN9lVZKIibFQrdUvHFrzifjcZ0LOzs4sXbaKSd9NZOrCLQzuVjddvc9eHi58P7gFEVExyJKUpEUwu9tpbty4QZYsWWwYofA6zs7OrFi9jlkzpjP4+7/p2bwcpQvnsnVYggAkjMGzYitbZh+D91YJnsVioUuXLgBMnjw5cf3HH39M+/btqVix4iuP1+l0L0zunuratSvfffcdU6ZM4YsvvnjjuAIDAzNPQqhcxSBNQ1ZNSFoJyQRoZVSLGv9vSUOMoQTRvh/FdykDePDgrS4VExNDYKCYEPWlVBWNchxZPo6qi0XRqshRURhu38QQGIysKAnzBT7dH1QkkNUkPQAUjQMmpwLEuZckzqsq6J2SXufhQ5u/F6qqcv3ENZ5tMNDZa9Fn0dgkrkvX7iAhoyZ0mHR3sbduHJpQZGMMT7PxmNiol17v1NnLSR5n83B7TWw1kY33MWnPgCkHMepaIsMcUCj/RqEt+akdzXou4kFIfAEOCZn7D8Kp13EWf0xr+UbnyMhs/dmwle49e3G1WnVuPbpPPj9Pkt41sh3ZLgt673Jk/b/1t+4H06PfMLy8vN7J98tWUvL5aNehE63btufkiePcVeLI5eNOevk5y4iefjbSC8VK43mF9C3ZCZ6iKPTo0YMLFy6wa9cuHB3/6/63a9cu7ty5k5j0KUp8H32tVsvZs2cpUKDAG11Do9Hw9ddf06dPH/r37//GsWXPnj3DJ3iKohAaORLMV1EVFdUkIUkSqlYDJguSRQbv3hg9W2MEXF57xtfLTBMIpzbFEkFs6GKUuCsQE4UUeBdN6GPkaDOSWQUzL/w7KCkqyEZwyomUpw1y7vpIkszrRr3Y+r0IuvmQiLAopMSUSsI7nzdeXl42iSc0PBYkTfwQUwnqVS1v1dcnzhxMVOLfQgXFYHzp9e4+DEpo6YufqL5y2VKvjc1s6UFE5A8gRyGbHDDo9mJ0yIfWWOiN4juwdjAl604hPComsTXnytUn/DjnFBO/qv+aozM2W382bCl79ux8PeYr1v1zhD7taqLTWm/y3zf1ssmcp/8cwF8rNmBvb+XWdiGJ1Ph85MiRgx+nTmblkt8Y2LFmumoxzkjS20TncbEZtCu/IsUv1jx/JpasMXiqqtK7d28OHjzIli1byJo16b27zZs3c/LkycSlX79+lCpVipMnT5IrV/Ka/du2bUvu3Ln57rvvknVcRhYTd57gmK4o8g0UvSZ+fKksxXfFVCU0bn1wKLIWO8/Wtg71nWCJu0dk4CRMj3dD8FnkoAtowkORFct/cwfIJM4CLgFoncCnGVKDjWibbEFbbx6aPA2RXjQILx26fuwaphgLshQ/T7dGVinf1DaFX4JCnhAdoyChQZJkNJKG6uXeLBF6W5JiRjLFIpmikUxRvOpXZEycGSQ5calc9vXVCLWa7NgbO0FsCLLkiRJ1i7jgeVji7rxRfAa9lkPrPsY+odKqXrVDh4HlAecJWHfujc4hZEwjvxhFlQYdGT5lOaGPrTeNQmqwiPFcGdYngz+lUJkazFiyM12O/RQE4c0kqwWvX79+rFmzhnXr4qvEPe0O4OHhgUajIX/+/En29/T0xN7enqJFiyY7MEmS+Oabb2jbtm2yj82IguN+wKIcAymhKpmixid2CiCXx9lruK1DfCeoqkKc6QoRMUuwWM4hGy1ozbHIsgVVBlUjo0rxCVAinR14VoJSn6I1OL303BnB1UMXkYivxCoBWr2WvKX8bRLL76t2JyZ3KgpGg578ubyte1ElBjkuGhUzqHGA/qW7auT4qRviXywVO/2bVbTU60uBXWfinixDozogqTJx96dh8P4MWff6yaGdHY1sX9aXWi3mATKooEHm89HbKV3CGx8f1zeKQ8hYdDodXbp2o0zZcvTv053R/RrinsXZ1mE9p3G1wnTv0oHffl+Eq6urrcMR3sKgIcOY+oPKjCU7GNBBtOQJtiHG4KVMspoV5syZw6NHj6hQoQJeXl6Jy+3bt60SXJMmTShVyjbFHdKKosTyIK4/Zo7Hj9eSpPgGIQnAESeXBbi4i+TO2szmezwOHUtoaHeexHyFIp8DPShaGVUb34qK9r/iG6qqAaeCSFWno222GW3Fr9Fk8OQu6MYDQu4+QiOpaCTQSJDVx9Vmf9wXBRxCQgdokdCS398HrZW7pqmmJ0ixkUgxIUimaED30n2dnZ2QJE38Imu4fPPNWuEAdI4N0erLI8seqLEhqKaHxD2cg2KJeqPjfbxdmP9ja2RVQosGOeFXeesOSzGbxfxkmVmhQoX4dcFixs5aT0RU+psPsVLJvHSsU4AWTeqxccP61x8gpEuDhw6nQKnqzBQteYKQISW7i+aLFn9//xfuP2bMGPbu3ftG5/b390dVVfLmzZtk/f79+1FV9YWTpmd0JnMwQZa+ICVUX5SkxCRPL7fA3fk3dDoxxYE1KIqZ6NhDPI6aSWhQT8KDPkSJOwlKFJKqAGripPGqVhM/X8oTBSnaC43/J2jqb0Zbcy4aj+RPEpxe/bv+KOY4JT65Iz7JK13PNjdYAoPCuHsnEo2kRyPp0Eg6erSsaf0Lxz1CiotENpnQ8uqpIQrnzh0/A7wUPxH7hWtvnuBJkoTerTey1gvUGCSNA5gfY364AFV9s+5tVSr5MahvJWRkJCQ0aIiJUejQ5Z83jkPImPLmzcukqTP4esYaTCbz6w9IYwVz52Dy0FbM/nEiW7dssXU4wlsaPHQ4+UpWY/bSXbYORXgXPZ0Hz5pLJpYxBgZlQnGmJ4Sog4mv0sEzZdl1ZNHMwMXYwVahZWqqGkf0k9WEhwwlJmw6BG1CE/kI2WJBsiigqgkLSCYLmidmDPeyYCd3wVApAEPtP9HkaYWseXnLTkYUGRLOrZNX4md3kFRkWcXoYKBozSI2iWfKrzvRYI9WdkAr2WGvd6JHqyrWv3B0IHJMLLLZHo3G/5W71qlaDmRtwqLj+p3kVbGVZS16z37IxgJIqhZUBSX2FubHb/5lql+f8pQq6pWY5EnAzStP+O23k8mKRch4ypYrx+ARoxk7cy0mc/ob82bQ6/iyXxOmfjeadevW2Doc4S0N+XQE9u65OXDy8ut3FgQh3RAJng0oiplQ9eP4yZufJXnjqV+ATudqk7gyOyXuHpGBYzA/XoYUcQ9tWDCyyYykqEhmBcmiICkqcpSC/raK0+OGuPksx6HUPLT5O6LRZd6qcFd3/0tceCwaSUVOaL3LXzU/GhtV69u89Rp67DFgj15yoEaZYuh0aRBL+HXkWAsaixNnL1po06YNRqMRjUaD0WikVq1anD59GoCyxQrGjxEkvpvmg+DwZF9Okg3os32IpHEEJRYkCUvEIVTz4zc+x++/tcTZaECDjA4tEjJzZx7nUVD6LsQhpFz9Bg3p/eEwvp4RkC6TPL1Oy7iPW/DDt99w6dIlW4cjvKWvx03kr40n0uXPmJB5PR2DZ80lMxMJng0Em0YkFHCApxOO6ShLNt0kMZjZSuKeHCL67hiIuQbRT9BEhiNb/kvqUFRUswF9aHYcn+TD0edzjDl72jrsNBEXEc2FzYeQUdBIKlpZRafXUK1LDZvEc+T4baIfy+gwoMcOo+TIFx/Wtfp1lchrSBFBxDxRaTVgO+XqjGDfvn14enpSt25dPD092bFjB6VKlaJZs2Zkd3NKaL2Lr6IZFf12pahlXRbkrG1R1ThUNQ7UWMwxV9/8eFli7dqO6NEgIaFFQqdKdG+76q3iETKWJk2b8cFHIxjzS0C67K6p1WgoVcCHyyLBy7Ds7e1p2qI1x868+e8lQRBsSyR4aSwqZieq5V78vF5KfHInq6XJqhtk07gyK8UcQfTdXzDfnwJxwUjhT9BER8e32ikSkkVFMmvQxnpjH+2LTs6B1n8QGufMXdznqbioGHZP+5vYx7HoJRWdrKCVVXyL5kBvfHkFSWv6beEJdOgwYECPHk8nF4oUsv48fGrQYYiNpfe4C2zadxt7e3sCAgK4ceMGGzdu5MaNGwQEBGBnZ8eGDRvo1asXOq02oRVPxpKC2iY6p9KgcUJSLaCaIfZaso53dbVjzNj3MCCjk2QkSSIiwsSs6elnLibBeho3aUq/Tz5j9Iz0meRdvPmQBg0b2joMIQWaNW/FtsNXbB2G8A5RFcnqS2YmErw0Fvk/9u47TqrqbOD475xbpm7vwC5L7ygoVuwFFewlxl5ijDFvTExMbNEYY6yxJjExauwm1ohg711EkCK9t+19d9q995z3jwGUWIBlh6Xc7/uZvO7M3HOeO7vMzHPPOc9x7kO66fVeQmuEzqbIvrS7w9qmaa1x3RWbXMlLeXFSbVOJrfwzyYUXQfOb4HQgku1Inf7yI5SBUCCUhdTlmDqIiAzC7PtrZHDH30zZiSdY/MrHvHHlvdTOX41Yu++dJSBoGxxw4VHdFtuMz2uxMDEwsLA4dL/+Gz9oC2mt0Y1zmD2nhmfeXIHrujz++OMcffTRSJl+m5RScvTRR/P444/jui5PPfUUQZy1hVZMECa19c2djkGYeWvXfHtotfnVEY84agADB+QhSF87UsC/H/6SeDzV6Zh824+jxk/gp7+4kivvep7m1m1rem5RXpRly5Z1dxi+LdC/f3/K+4/gv29O6+5QfD7fJtisffB8W6a97Qmk89WXLa0lBfY93RjR9sHzlhJr/yvK68AQPTHM3phG7/SXai1Ap9BuC25yFTq5HOHWgxdHKGdtRcIkoNLTXzVILDQOEEKaPUAGkDkHYRRP2GGnyConRXLZfGLz5tIydxn1NXHqmyHuSARy7d536aqhFaP7E8ntni0f5sypJRXX66tCCuCnF47JeL9CCIzhl/HEP+di2zYlJSWMHz/+W587YcIEysvLqampIZSqp934qtrmXx9/iesuOa2TUaRH77RKgOhcEZ/7HjuaQ/Z6FEhfvVMaLrngFe577JhOxuTbnhx51Hh69irnkot/zHnHjmHXIZXdHRIAew6vYNKLL3DJL/yLmduzW267gwvOP4fPZi1hzIi+3R2Ob0eX6UqXO/gaPD/B24qc+IvItSX4FRAMHYlh+L+CjUk5n6O0i9ZteN5slPMljhIIlU7Y0tNd0yOirB3k00IBLhgOKBBagDYBCSqFkHkQLEMARuFxmHn7d98JdhGtNbqjFt1eBfFq6GiARAuqdgmppdUkmm062gxiHSESyTDaCyCQyLUbm2sE4eJc9v3J0d12Dv/+95eItSknQG6WTY8eW2czZ2FnURePYBgGQ4cOXT9y97+klAwePJj6+nrKCiLUt3z1vFfen9GpBE95cXRyBcLIATwwizp1DoZh8IvL9+T2Gz8Fkd6GffH8RlqaE+TkbtpG7L7t28iRI3nx5Tf42UUX8O7ni/jBEbtTWpjbrTGNGlrJnf9530/wtnNCCG798538+KwT/QTP59vG+dnFVpJKLkU6MTTpPcy1lGSHdo4iHltKeVWkt5NQpL+yAniAwBNeeqqrkAitEFqh0QjhoI21iZ0wQFtopRB4YPcEMxsQyIITMXP36a5T22JaK1T1XNSiN6Hqc0SqEUQSIV3QGq0UXqtANUdQHRF0KorQChOFITVSKwwhAUmoMJeDrzgNw+6+t4WPPli5vtw/aPbc8/v3outqRUVFeJ7HnDlzUEp9a5KnlGLevHl4nsfIIYOY9WkDrI15RU1jp/pVHdPBbQMZBWFjBPt0+hyOO3EI9909lUTMQ5Aeybv52nf5013jOt2mb/sSjUZ56NEnmTJlCnffcSsdLXUcc8BQdhvWt1tmKRiGZNXqVSxfvpzevXtv9f59XScvL4/WjhRa6x12xotv25DpSpd+FU1fl0g23QVKpys3Ko0UA7s7pO1GJPJjbGt3DFGKIAgYCEw0GmyNDmi05aJNF20qMBRaGiBttBEBGUbLABhhCA9A23kgwSiYgLUdJnfKSaJWzyL51l04D52J9/zPYc5z0LoM3BbQccBBaxeUTn/JNzwMw8UQ7tpqmQpTgmkILNuix+gBHHH9uUQLc7rtvJYvaybW6q4tWSIwkJx7/q5brf+29nbue/EdUqkUK1euZPLkyd/6vEmTJrFy5UpSqRQXX/RjhDARmCAsEonOlRFXbdPA06A8hBFFBio7fyLAtTfujyR9MQkh+OLTqk1ew+rbceyxxx489uTT3Pvgv1kZz+fSW5/l6Vc+oyO2+Ws8t0TAtrj83EP57c/P4/RTT+Ldd9/Fdbe9YjC+TXPAQYdxy4Ov8MXcZf77is+3jfJH8LaW5PL0SBMaLSAr9/Lujmi7IUSQcPRciILrNKDVarTXSMqZB84MlGwB3PT0TCFBpdeSoTRoG8x0UqhlBIGRXocXHYuVe1DGYk6puXhePQYlmEYFUm7i9Dit8ZpXQ+NyvLY6aK9DJ5PoeBuk4tBSDS01oNsRUoPUINX67TbWTVFdO+uSdQOY0lRrbxqpDEzDJmhEyO5TSf8j9yW/f69MvAyb5Zor3mHdSJhAk5Nt039AwVbpe8nyVYw46oekPIGRVYCIt3D66afz2GOPMWHCBKSUKKWYNGkSp59+OqZpcsIJJzBq1CgMYaNIl9BUnaikqVIN6MSStVunSGRo2BZfGd9zn94YEtCg0XgK5s2sYcguO34BId83lZaWcs3v/4h79e+ZOPEFbrj/7/TIszn72L3JioS2SgwVPQq56sdHsXRVLZOeuJtrr7qMX/76Sg448EByc3O3Sgy+rnHl765l3rx5PPTg/Ux8dzJX/OhIrG7aM9W34/JH8LaMn+BtBa5bg0ilEFKkR50ME8PsvpGS7ZlpFQDpL/1eIobWa9BeYu0Iik4nOkKAiCCMCIp2hIgitLF2DZ7ACI3Cys9s0YkOdzLKXYF0AhipbGw9CCtrb4xQ+TeeqxIt6OpZqKWfkL1kCl6yA1QSrXS6jK8nv0rcAIRCSFj77X3tQmT9tRmsYu3CRJneo820IBhGmIXYvUeS13MYpb37EC7vgRXaNtZlVa9pY8nCZgzSp6ERnP/jrbNVxWsffMKE83+59kq0gKJKvJrFxGJtHHvssZSXlzN48GDmzZvHypUrMQyDo446ioceeggAKUzSU4bp1KJt1fwGqARojRBBZNZeXXJeBUUhGmvjrM3zmPrRKj/B28mlL0ycyAknnMj7773HdX/4HYft0Zdx+w7fajH06VVMn17FHH9InFff+jeP3n83+SXl/OP+h/wpf9uRwYMHc9MttzHpxYnc8Pc/c+1FR/u/P59vG+IneFtBou6f6ZE7TboQiFXR3SHtEIKBI3FlBcn4OyCbwDARBJFmb0x7INIuI950Z/q7txagJGZkT8zsIzL6QdSSuhfHnY5MORBXEJeo+BzcJU+jvVKEUQw6iE40QmM1unE1uCnQAnPdvizrE7d1P3w9XpG+Twkw9NqkwoBgFHKLIbcHWGGwQgg7Hxntg1E6glB4272o8Mufvcq6LFYCwaDBiT8YmvF+73zwCS676e6v7hACIQ2y+43EUg7lAYc5s2exevVqLMvi4IMP5q677mL48K++EJsihIsDGgyxeVextRdHtU5HJ2sRRh4i0Asj0KNLzq1vv3wa61anTwtYsbylS9r17Rj2239/Xn7tbX572aX885n3+dGJY7fqF/SsSIiTxo3hJOCZ16ZxxMH7sv/Bh3PV736/1WLwbbkJRx/D8uXLePrVjzjliMxXPPbtPPwRvC3jJ3hbgXJnIYVAr/3wtHLO7OaIdgxCCCx7OJb93VefhVmA0DGEzMOOHIoRHJDxuBwWAAq0QmgXGYsjWxxEq5uubplM72WNK9I3RXrUUX9tXuW3nw3rkj0NCMOA7CIYfChy9KkY1rYxGre5li1tZtWK9g3uu/S3e2b8y+ZZv7qWJ1989Rv3Z2dFyYqEee2Rv5AdClBa+t2jXlprBFa6UM3aPQQ3h1f/KjjN6X0aA70xcg7Y3NP4TpGsDbdaaGmIdVnbvh2DlJJb/3wnt9x8I/99czrHHzq6W+I46fDR5EYtRLR7tmfxbZmfXvx/nHHa+zz72lSOOWhXLMv/aunzdTf/X2GGaa1AxdFSIDQoQ2Jn7dbdYe007OA+iFARht0bIbZOTaH03nsCoQXCUciUh3A33MZh7UKzr2587f51pEAIA40Ba4vGEIhAQQVy2MFYAw9AyO1/3cM1l7/D1+eghsMmRx49KGP9aa0Ze8qPmDLjy288lpedTUlRAS/+83Yqe5VRXV39vW198PESbEJ4OGg0xTmbvqWD9uKoxo/RsRqEXYY0i5CRrpsqt3p1O1/9yYlOrQ/07Rx+fdlvOfzg/Tl8n6FEwt1zoahfeQnPfTi1W/r2bRkhBA8/+iSPPPwvbnvoP1xxwZHdHZJvB6C1ROvMfW/b0QsE+QlehiVi00EptBTpoh8i+J37a/m6nhXcY6v3aZCHq1sR2kM6GukIhCcQ675g/09yt27wDitAKlqBPfQojH77IcL5O/zfSmtLgqWLm/l6Zvvrq/bOWH9KKUYccSoLlq38Wp/pN/mCvFwG963kybv+SFlx4Sa1d8vt7xIUERQKT6c48oARmx7LmhcQyRZ0KoEI5SHzDunSUcuVy9ZNyRQINLuO8dff+b6dlJJrrvsjt958Ldf+tHvWUvUpLybHms/f/nIPP/3Z/231/n1bxjRNzjv/At556w0Wr6imX4X/fuPzdSc/wcswN/Fael0PpJM8u/P7W/m2D/mB6yAAKasNp+MpsKcj4iuBdoRUIHS64I5pQSgPikcjBh+DWTqEhurq750SuKO5/aZP1u/VooBQUHLYuP4Z6UspxdDDT2HxijX/84igrLiIMSOG8sDNV5GbvenTxGpXJYkQwcVDySBX/3zTrlzrZD2q/gNI1iOtMoSRj8zZfTPO5vs5jkt7u4MU6Qm9hoRBw0u6rH3fjmf/Aw7k00+O4PWPvuTwrVh05evOP2EstzzwXwYMHMhhh/v7Nm6P/nznXzj9Bydy+pG7MHpoZXeH49uO+Wvwtoyf4GWYchaAIdeXsTeD+3VzRL6txbazsCvOhwpQnoNONiHcGFpYCDsLI7Dp0/l2VB+8syw9ikl6x4eTf5iZwipaa3Y/9mwWr6j6n0cEleW92HOXodx/4xUEA4FNbnP1qlYiysYQBi4K09JEIpt2vLf0X4CEVBsiVIEsPaZLR01uv/lj1NrCToaAYNCk76Cts+WEb/v1y19dxrhDDmDs6AGEQ5v+b6GrCCHYd1RfFiyY7yd426mioiL+O+kVLjj/bKbNXcHxB4+iIM9fW+nzbW079vyvbYDWMRCgZbp2hhXtuqv0vu2HNCyMcDEyuxIjqyfST+54ddICPJf1G3JLCedemJkiD6f87EpmzV+89qev5scOG9CPvXYdxr9uvnqzkjuA2656k4gU5EqTHGGx18iem3ScbpkNbQshUQd2ESLcB5mz6VM7N8WrExezbk9BT8PQkUUUFEW6tA/fjsc0Tc48+zwmvv1F98VgGHw+dUq39e/bcuFwmMeeeIoJp17MH/75GtV1zd0dkm97pETmbzswP8HLIKUUQrkIpRGeBk9jmMXdHZbPt0247+4NCyqMGFGEaXb9W9J9TzzHf19/939GyAS7DBlEZa8ePHDjlZtd9U0pTeOKOrIsj4jpkWVprv7jwZtwnMJb+C8QQUjUIwLFyIpTN/OMvt9f7piCt37fe4EhBcecPKxL+/DtuM4651xmLm2moamtW/rvWZJHTdX/jrT7tjdCCA47/HD++vcHePC/H3V3OD7fFvvTn/7E6NGjiUajlJWVce6551JXV7fBc1zX5dprr6WiooJAIMDAgQN5/fXXuyVeP8HLKCc9NVOvq2O3/j99vp1afV0HzU2pDe777e+7fvpyQ2MTP7vudoSQX/u3JxjUry/hYIhH/3wttm19XxPfasrbizBRBE1F2FLkhhT5hdGNH1j3HqSaINmMMHKQ+XshAkWb3f93cV2Pp5+Yk953E40HlBQH2X3fTRtd9PmklPzp5j/z13+/2y39z5y/krPPv7Bb+vZ1vSFDhhDO68HiFd9fkdjn+1/r1uBl8rY5PvjgAy699FKmTp3KCy+8wJw5c/jBD36wwXMuvPBCnn/+ee6//37mz5/P/fffT1lZWVe+LJvMX4OXUWZ6buY6WuOllmOE+nZfSD7fNuCma98HvrrCFI3a9Czv+mmrB53+M0CktyshfVU5LyeHUCDAE3f9nqxouFPtTnp0CqZUKA1SCIbuuvHNyZVyUQsehUA0PUUzdzii1zGd6v+7/N9Fr6RLPwsAgQlcfv1BO3w1Vl/XGjFiBAOG786L73zB0QfuulX7zs0KU19Xs1X79GXWH/54E6efcgz3XHlad4fi83XaSy+9tMHPd955J/vssw8tLS3k5OQwa9YsHnnkEebNm0e/fv0AqKys7IZI0/xP/QyS0kBgpqdoKo3Q4CbndHdYPl+3mznt61/gBOf8ZNcu7+PjabOZt3Q1CAnCTO+DKAz6Vfbm6p+dTa/Szk2XbqxpoaO6AUsqLENjSc0x547Z+IErX4d4O6SS4IIsPQxhdN2eY3Pm1PHF9Bo0a3dkAfYZ25Phu/rVM32b749/upl3pi3b6ntFOa5LKNy5Cy++bZPruqxaU4vjuN0dim87kp4Al8kRvHQ/8Xh8g5vjOJsUX319PcFgkEgkvb598uTJ9OvXj6eeeory8nIGDRrEddddh+d5mXqJvpef4GWYtIagjTxEaAxW0RWEco7q7pB8vm718gvz0J5euwudwDDgmJMGd3k/511+Yzq5Q65P7vpXVjKoTwXHHtq56aCr563m7//3ELahCZgKSypycyz6Df3+KRjKc9BfPoaw8hHt9YisIYiyja/Z21Raa358wSQ04JB+bYMBycWX7dVlffh2LlJKBg0awprapq3a79tTFzN27P5btU9fZvXu3Zubbvkz/3j6ve4Oxef7hoKCAsLh8PrbDTfcsNFjkskkf/jDHzj77LMxzfRkyGXLlrF06VJee+01nnnmGW666Sb++te/cvPNN2f6FL6VP0Uzw6Kl13Z3CD7fNuXhv3+xfmsEoTWjdi/FMLr2WlN9YzPLVlV/tehVgGkGyM3O5pfnnrzZ7bkpl48ff5tpr8xApyQBQ2AIgSklx5y358a3OFj2OiQ6IJAHHc2I4T9HyK57+z3n/P+SSKavEtpIXDRnnb8LpT388uS+zhswaAirqufTsyR/q/WZdDUDBgzYav35to6TTj6FN15/halfLmX3Yf5+wL6N00h0Bseh1rXd0NBAKBRaf/+6hO27eJ7HGWecAcBtt922/n6lFKlUioceeojevXsDsGLFCu6++26uvPLKrg5/o/wRPJ/Pt9XEOlI0NiS+ukPAJb/dp8v7+d1dD6OFCcJcP4pXXlrMgN49GTm432a1Vf3lUp7+1T+Y9cp0hNIEDIVtaExDUz6ggL3Hj/ze45Xnor54AoJl0N4IWYMRPbuuoMzDj01n5sxaFAoJpFD0KovwgzO7dusF386n/4BBrKpp3mr9JZIOntpq3fm2sj/fcQ9Pv/ZFd4fh820gFAptcLOs7y68ppTinHPOYd68ebz66qtEo18VVyspKSEQCKxP7gAGDRrEqlWrMhr/d/ETPJ/Pt9U8dO+09bvQAUSjFj0yUFzlrU9mgwwhjDBChjDNEHm5hRy456hNOl65LnWfz2b+I6/w2k3/obm2Aw1IoTGlxhKakooCfnr7Dzfe2JK3IZFAaxPdUgsDT05PGe0CS5Y2cOudH6FIfyt2UISEwV33HoWRgS0nfDuXvfbai1mLtl7Bk2dfn8qZ516w1frzbV2RSAQhJbF4kvZYYuMH+HZq21oVTa01P/rRj/jkk094/fXXyc/fcGbDXnvtRTKZ3CChW7RoEeXl5V3yemwuf4qmz+fbal6fvAj4aqvxI4/p3+V9OI5LXWMbQtgIoQFNVjQCMsABe+6y0eMTq5bR8OEnLHhvAatbJK4ykUKnPxAEGEIwdOwQJvz8yI1OzdRa4U17FhEshvZmyOqHrOia0btE0mXCqY8jkSg0CpcQFn+48QDKevlTM31bLj8/n7gDnqe6fBr1/5q/ZA2LalL88QebcNHEt91yPMHv73sd5SmOP3AI+472p+P6tg8/+clPePHFF5k8eTIA1dXprT+KioowDINx48YxZMgQLrjgAm677Taqqqq48cYbueSSS7olXj/B8/l8W0UsliLe8fUqaoLTztt4wrW5vpi7lJQDQhjotQVHQsEIoUCIPr2+v6Jk+4yPqXnuGZastmlOBpEIJBpDgIfACgU5+vIT6TFo0/aV8xZ8iFdXiyztDc3LMA46GyGNLT5HrTV7HvlXPE+jAInGxuKE44dw0KH+Niy+rrPPvvsza8EKdh1SmbE+quua+ct/PuD5F1/Z6PoX3/bttTfT+ys6jsMpJx1HKGgxemhl9wbl2yYpLVCbOcq2ue1vjvvuuw+APffcc4P7ly5dSmVlJaZpMnnyZC666CLGjBlDcXExF154Ib/61a+6LObN4b+T+ny+reI/D88E0iN3GsjKtohmd902Aeu8/P4MhEgnZ6CRwgAVJjuS+70jbrXPPkHN+x9SF4uSVAamVHieRgoQCPrvPZSDLzoC09q0t03tOXhfvApWDjrpQaQPst8BW3x+Wmv2Oe5u2loTICSWNtGYDO5XyC9/7VfN9HWtY44/kXtvvSpjCV5LW4w/3f8K/3r0KfLy8jLSh2/bY1kWjz/5NCceN4Fw0GJw3027aObzdZdN2TKmT58+vPLKK1shmo3zEzyfz7dVvPHiovWL74SGg4+ozEg/cxfVYcrI2vn1Gtu0iFh5BOW3T1vUWlP1z9tpmrWEuBvA0BpDKFwkrjCwssIcesmJ9Bjca7PicKZORrXUgxWBRBJzrx8gjO9evL0ptNbsf9KdrFrdBkJg6yAOLiWhKHfffSSBgP+W7utaI0aMYPHqxoy0/f7Uefz7lc+5/qY76NPHr6y4swmHw/z76ec58djxXHLaWCp7FnV3SL5tSGfWyW1u+zsy/9uAz+fbKpobEkhIlwMRcOJpmany2NAYxxIhID0VMmQG6JlfQlH2N0u9a62p+sufSC5egiEsLOHiSolUAteOUjpyAAdcOAHL3rzEzF29EOfzVxFeEhHKQZsWcsiWjd4ppdjtmD9RXR1HILF0kJRIkE0u9917LMUlkS1q3+f7NkIIyiv6UNvQQnFBzha1pbVm4bIqnntzJvUtHQwbsRuTXn2H7OyuL7Tk2z7k5OTwxFPPcerJx3He0buzy5DeGz/I5/NtlF9mzefzZdyCubWkJ2amd7YJWIKSDO3RFo+DIYKYMogpQ4TMKEXhXCxvw+mgWmtq/n4zYuVcTMPDFB6WdLEMD7vfAA68/AyGn7z3Zid3XnM9idcfQcsgKuGCFcbe91TkJqy9u/322ykqKsK2bcLhMAcffDCzZs2irqGF8v1/ycqqRlxSSAwcEgR1mL/fcQwjhhdvVow+3+bo138gNfUtW9TG21Pmcumtz/LJEpdrb/4rr771EbffdY+f3PkoLi7mhUmvMm2l4tJbn6Gqtqm7Q/JtA7SWGb/tyPwRPJ/Pl3ET/zN3g597lmewyqNrYxFEYiKRZFtZRI0gHfXuBk+rfeAOvMVfIoTGMh1AganJOuI0dj9kX4QU66tkbSqvdhXtz94FLXUYxT3RoVxkr+EYFcO/97jVq1czePBg2tvbKS8vZ/To0cydO5e3336bXXfdFZnVg2Dvw5CGTZBckqKDLAr4y43HsN9Y/4q3L7OGDR/JF+/8hxGDKjp1/M0Pvkq/oWN4+Y17v3ePKd/OKysri9vv+gsrV67krB+eyI2XHEsk3PVrtH2+ncWOnb76fL5twuzPq5CC9bcDDs9cpceACBHUEUI6QkiHCesQMqXpqIvTWB/Da6ql/u9/IDFnFkpJlDZQSiANSc9fXEnvw8Yi5ObPzU8u/pK2J/6MsALoQASvvgpz0BjsvY/b6LGDBw8GYOLEiSxbtoxXX32VZcuWMXHiRMLhMLq9iuTKt5AYJHQzQbK4+4bjGHeYX2Lcl3mHHnYYb0xZRMpxN/7k/xFLJFmwrIbrrr/BT+58G1VeXs4tt/+F6/8xGc/f9X6ntq3tg7e98RM8n8+XcW3N8Q1+3u+QzBVUCJkBLCwC2ASwEI4g1Z6kV4FH4+tP0vr4n2idvxzPM/C0gVYCJSwK/+/3hMo7l3jGPn+f2JvPo1xwVy1HRvOwhuxF8MBTEcb3T828/fbbaW9v54knnuDoo49GyvTbspSSo48+mscffxzP83CbV5CMrSEsc3ngtlOZMG5wp2L1+TZXJBLhnPMu4LUPZ2/yMUtX1nLFXc9zwwPvcM9f/57B6Hw7mjF77MG5P76Eux57s7tD8fm2W/4UTZ/Pl1Gep1CewhACDUgpKCvP3Lqb4twoK2gjiJnex86FgmArx/aZgbmklcZ6iadMBBqtBMIUFP3sKgLllZvdl1aK2Psv0fHRa+hkEruoCBEMI0v7EDrqbISx8bfY2267jfLycsaPH/+tj0+YMIHKykqWLVuGbF7CxKfuZMxIf1qmb+s66+xzOeLQhxk7egC52d9f0Gfq7CVM/HAp/3z4acrKyrZShL4dyUmn/IAF8+fx9CufcfIRY7o7HJ9vu+OP4Pl8voxaNK8O42vTM8Mh43v3o9tSfcrzCWETQBIQkogtmNBvCn3s5bhNkPRsPC1RSuJiUfCjSwlXbP7InXIcmp97iNhHr2HmFSFz8kjV1mKP3p/IhPM2KbkDaG9vZ8iQIetH7v6XlJLBgwcTDofplef4yZ2vW1iWxT33/pPf/20S7bHEdz4vFk/y5MtTufX2u/3kzrdFrrj6Gla3mXw0fWF3h+LrBv4UzS3jJ3g+ny+jvvhoBRKNIdK3wsLMLpwfM7qMkDQISkGumeR3e7xBP7OR9uY8XEw0Ctc1cQlQfM4FRIcM2+w+VCJOy/OP4NZUo7SBU7MSGQiRc+pFhPcZt1kJbDQaZe7cuSj17etNlFIsWLCA4uJiLHPjlTh9vkwZOnQot951L1fe9cIGSZ5SivenzuOpV6Zw+V3/5Q833kH//v27MVLfjkAIwb33PcjEDxaxaPnmFbzy+XZ2foLn8/kyatGXtWtH7zRSwIBhmS3pP3r3HoQsg4iV4hdjPqHUTOA5AQxTI0IKLAGmTa8Lf0zeqFGb3b5KxGl5+gHic2eiYh0YuUUYRRVkH3MWwSGb396vf/1rVq5cyeTJk7/18UmTJrFkyRLi8ThjxvhTlXzda/To3fjPc5NYVdfBH+6dxHOvT+U3tz7Jfc99yoHH/ZgXJr/BXnvv091h+nYQtm3z6BNPcfeT79PQ3Nbd4fi2In8Eb8v4CZ7P58uo+qpW5NrRO1NoBgwtzGh/RcURCnIER/edz4DCBgKBFFYgiRHwECaIYoV3yARyhndu5K71mftQ8TbMSBivox2FIOeUH2P16lzhmEsvvZRwOMxpp53GxIkT14/kKaWYOHEiZ599NmPHjqWmpoZLL720U334fF2puLiYPffamzv+/ih7HXkOV/3xTia/9DKHHHKIv6+dr8vl5+fzjwce4fp/vMSKNfWcc8V9/Hvyx90dls+3TfOLrPh8voyKtyeRQgPprc57VORkvM+xuzj0TDYSKmgnlOOREhaqrRCvUOD0NGla8wltzXuSlRve5Da9WAfNT9+Pu3IxRjSCEQ5h5BeTe/L5GFlb9qV2wYIF9O3bl2OPPZbKykoGDx7MggULWLJkCWPHjmXGjBmceOKJDB/+/fvp+XxbU69evejVq1d3h+HbCQwcOJCrf38TV1x+GXVN7YwbO7K7Q/JlmEaiMjgOpXfwMa4d++x8Pl+38xwHQ5JegycVPSvzMt7n4YcEKS1vItjLxSuRqEqTwCFxwmOT6Gyb3L71vP/sq3iut0nteW3NtD7/EF5LE1gBvI44RlY2uadseXIH0LNnT5qbm9l1111ZtmwZ7733HkopSktL+eCDDzjyyCN59NFHt7ifztJaozqaUA3LUFWzUPWLUK1r0F6q22Ly+Xw7l4MOPphPpnzOjX/6E7c+9Co19S3dHZLPt83yR/B8Pl9GaU+vH8FDQG7+po+adVaPAVGmL8+iIcslVAYqJ4AbsdGmICpixGoEwchCPnluCvuesvf3tuXUV9P2wkOoWAJp2WhpIiMRso4/DyPaddPRQqEQ06dPZ/bs2Tz66KPU1NRQUlLCmWee2S0jd15TLd7SGXhz38YQjekSqM0rEboDUVwJlgUtCxGDxiKK9kAUjUJE/dEcn8+XWaefeTajd9+D3/zqEvYb2YMj9xvR3SH5MkCT2XVymh17DZ6f4Pl8vgzTSDQIQAikkfmJA7J4d/L2eYvGhCCarQhleQhApjzCqh2NoKi4jiWfrGHxlAX022Pgt7ajli2keeo76HhLet88M4TVo4Ls8T/EiGZlJPbhw4dz8803Z6TtTeGsmIcz+yO8ZTNQdSswAx4y6iF0AlBggm5diTABXFjzDrplNXrFm4hoKezyC6SZ2UqpPp9v5zZkyBBemPQKF5x3NtHPF7Dfbt/+Hu7z7az8BM/n82WU0ArWbhuQwe3vNmCFyigu0CxfYmDrFDLmYkqNdsB0FUlXEzQSWCYs/XguJX1LiRZ+NRqXqq2h45O3UQvmoE0JRhBUErusB9nHnokMhrbOiWxFqr2Z2NtPoVbNQ9WvBNdDSACFSjlIk7XbP2hQDmgBtgCloXkhhAtQqh0+vhh2vwkZKurmM/L5fDsyKSV//+eDHHf0kZQVZtO/d2l3h+TrQpmudLmjV9H0Ezyfz5dR6ZxAAwKxbqpmBinPQS/9N+H2asIpm2BDO4QNjADopMJIKcJmkGTSQ3opRMpj/qufMOqUg2ifM4fEovm4NSsx3AQYJhgGmCaBfruQddjxCHPHe9tMzfmE5McvoGqWohIOCBBSg/DQSoHSCDQYCh1U6cRP6PS0TSHQQkGiAYw4WP1QU69G7HETIpD59ZY+n2/nZVkWjzz+H04+4Wh+fuq+9KvwkzyfD/wEz+fzZZgQGkF65GdzNgD/X6r+M9Sqt5EqiDby0YESCOQiwvloNwXtNejmRYi6aUAdRlaQnm11uEkHKwd00EC0uKAlpp0gJIsJmAITl9TsL5i/ZBrR0nzwUhiGAUYYnAQiGCS0yxgiu++7RfF3Nyfp0twUp6j0q6ml2nWIv/cszvTX0W2NgEBIBQIM00EYLtJUKAxScQthKAJGAhn0wADQaEk6ERYK3Dg0z4GC3VALH8MY/n/ddLY+n29nUVBQwNPPvchpp5zAWeN3ZeSgiu4OydcF0pcV/TV4neUneD6fL6PE+v8hPQrUWYk6aF2Mdkx0oh3tNkGHxkua6KSdTjJUEgyJtFxEYw2W6WIFXVACJTxoVqTMMDoQo2DIXmQtUggngbAk0tRoz0N4a2OMhqGwiNwDDsMqLNnSl6HbffDmUqZ/toZjTh1O/0EFqEQHsefuwVk4HaFdhPAAgdKQ0gapeBZagXZMEm4QzzPxkBgBRWmPKqL5MYTpIDyFNlV6Ki4mCA/qpgIS1TQPmTe4m8/c5/Pt6AoKCnhu4kuc9oMT6Ygn2XvXAd0dks/XrfwEz+fzZZQUoPS6a2VbcMVMJUG5gAXaBeGA0EijFSUMiEu0I9EKlO0hbIW0FWiNdkG2K1xD0JbKR4YMcsoPos9BDdR//iV28UBMncKrr8EMhQgPGkBk+EgaEsntPrlrbYrz2D0fMvvLJoRp8N6by6go1qSe/zPemoUI7aGVQAsDLSCeCtIRDxFLhUl5FkpLbEuBGcDRFsqRtFcX0DO5gOL8enSOREgPhATPS09pVQLq5kDOR+AneD6fbyuIRCI8/dxETj7hWIrysvw1eds5pQUqg+vkMtn2tsBP8Hw+X0bJDd5Dt2AEL1KJyN8FEg54CYh/rcl1zRoaTIGQ6SVi2hOoNgOVNFAGNKWiqKDFwua9KCZCwaBsgtkRUrV1CO0hQyOJ9u+HNIx0e9XVnY93G1G7uonpH69iVQvYpqZfTQ0t//k3gboFaA9AIAyNlEnaO3JJJALEklEcYeJok5SSxNwAEUPjKgMXAy8WZAm7kUjNotyoSo/+WRKkThdfQYOXQK/5CDXgB0gr0s2vgs/n2xnYts39/3qEH5wwntt+dSKW5X/N9e2c/L98n8+XUYbB2kQinYUppZFy86+cyYJRUDAKAN06H6/qE6hfjl7+DiIl0HLt9gsGIEELASmJ50jaEwGaEyE8Q1KdHEWbymfN/JWUD68kUlZMpKy4a052G5SKpxjQN0j9nBhZAYcJ8r/YDQ0IrZAyXf9G2i6uFwQjiBWy0UlNImWSFBZWn4Foyybe2kQw0UwypnAVxNsNYrE+xD2DQX1XghAIWwAyfTNsdPsqRMMMKN2nu18Gn8+3kygqKuK4k37IpzPnMHY3fwbB9kpridaZ21Ypk21vC/wEz+fzZZQhSVdiXFtopb25g+z86Ba1KbIHYWYPQveP45X1Q7S3QnMTur0B9HyIa3TcAlnAiqWKWJtiTXsWK5p70HNAMaqjhaqZiympKAZTYod33H3b+o/oRd/BRaxoWc1RhbMpogbhavTagipmOEWqI4zK7YkKFSFqV1CclSSfNhZ19CbmGGgtcIOF5Pctw12wnFhTknhKIESAhdU9CGfHKe9fj44G02VThUCZAuxccBci8RM8n8+39ey2+x7cc9N/qexZRK/Sgu4Ox+fb6vwEz+fzZVTAXrs2Cw1C0FjTukUJnptqRLfNxnAUOt6G1MXoigMxRvZEuzHU6ldABcC1wMxiyscfsXI1eNogZKSwbbBQxN57ky+b1lA4uD+9Dt5ru66Q+X3soElZrxyKP32P0TlLMYQiXfpSoYFEvABr1EG4+YNQ77+CFC5SeAgkg4ZopjWapFKalONSowop330EbZ8uIFEfR0oNGMyrK6NoWCuBaACNhwoF0JZARHvh2tX+B43P59uqRo4cSX2H4MYHXuOO35yM7U/V3O74VTS3jP8X7/P5MsoKGKQSztqfNA3VrVQO6bHZ7Sjl4KSmoNtnQ9NCSBUjW9pQLW3o2At4Vik6rx+yclfM8kGItVM2Az1qCDStwnM8tNDIjjYKSkIk610S8+YRHLsHKuVgBOwuPOutw3E9Ppm+lKamOLEORapNMbhPARJFflGIXpX52EGLUQf0I/jxEoKGlx5HFQohPRwvjDXqIOyDTqP1rXdx2poxPBfLSm8nEdZ1FA+tZMmM5Thas3hWFQMvPJCchgTNiZUk29tIeRY5AU3MDKCFwApI3Lx8PDuFDEbB8PBUG4bM2uj5+Hw+X1fIysri1dffZM/ddyUWT/oJnm+n4//F+3y+jMrKCRBrSazf5Ly5pq1T7SS8N/BkFVK2IO0oumM1xBxwBGCh6lfhramChTNIhfORFSOwR+6Ndh1UMoXQYJoW5cNKyIuvwA3XI0wDt62lC8926/rki8VMmbmcNWvasQkxf1ozew8vJRoE21BEwpK+Q4oZUVRLj1AHQgu0ACFcXBXAKOtH9OgL8JJJUo1NOEKmf0+GQ9h0iTV6DDwizPzpEiUFSsK7z8/gxIv2J972GAFnBTPmVBIqc+iwQnTEDHJDLiJSiBeowzBNpMhC6TYM/ATP5/NtPYZhUFJSRHA7vHjn86tobik/wfP5fBlVUJJN/apmBOl98BqqGje7DceZi5Oah5YuyWANwbiJtGyUFAg0OpEAI4gIhVCOi1dbhaqqJj79Qwa5EhHRNDoRtDRIJR0Cqg0jPwcZDBEQbdvl6N2ktz7hhn9MZGDvCj74bDn79h9NcW6EFUubCZsu2WHIz7WY29RGgfUGBYaH0Dpd4FKbJFQBhSf+CiEEZjBITp8euK35tNW1YtgORtAhaiSRb/+evrv8ghmfVKOlxeoVrUz7YBaj9/uY2JpmWghSsk+CWDKMSgiWzwtTnmOSFbWQQqKEm94E3efz+baycUcezeez57LvboO6OxSf7ztVVVXx0UcfsXz5cuLxOIWFheyyyy7svvvumGbnUjU/wfP5fBlV2COHRdO+2h6hfmXTZh2vvCRO7eNI24VAFGQUmXcogZ77wTBQiVbEylno5XPRS75EJ1OIQA5C2CjHI5dmhucl0VqDUKhljdiVAcziPGQgiIzXd/UpZ9zTL7/PXx+fRFtHjE9nzifWAdVrmik0c1HxFBGZwrFdUk2QH0oSKq9BGgoEaDQJJ0AqvwKr4KvqoTl77Enz6oUEU7W4bhOGoflgaT+qW7OoKH+YVGslnrRJOQZv/ncZ/S9sx+hrs+voelqSYWKORSxp8vm0HqiCegblhLDCEqmjGOy4VUp9Pt+264gjx3PzNa/7Cd52SGuBzuAoWybb3lRPPPEEf/vb3/joo48oLS2lrKyMUChEY2MjS5YsIRKJcNppp/GrX/2KysrKzWrbT/B8Pl9GlVYW8PX6Ja31rZt8rHLbUQvvwVD1iGgUDdiRAwmE91v/HBnMhgH7YgzYF8tN4S6eSXLmp6iqlWCHMQIhNC4aF4EgO+LgxeK4rQnsyoFoz+3Cs828iW9+zO/veYRE0sX1wEsFyTV64DVbtOl2oqZGBlzcZIqUp4gaDeC5KCEQAhSC9kSIWqcXFUqtX6tohCNE9zkA69MOqpZ0kCfqqGnJpSkWpmlBFB3wqGk1iOY6tLQHeOWdARx39mIcrckKJmlvD7B6ZRY9+jRTlN/K6gU2hT0TlJaUIOX2N0Lq8/m2fwMGDGBFTQta6x22kJZv+zRixAgKCgo4++yzeeqpp+jRY8PaBKlUiilTpvDMM8+w9957c/vtt/PDH/5wk9v3Ezyfz5dRvQaUYMqvRvDcRGrTD3Y6IFaPITTCVOhAPnZw7+98ujRt7EG7Yw/aHbehmsTMKcRmzcapiWGgCJlxgh1riHtlxJskoQJNJG/7eRtcXVXLBVffSizu4CqBVpKIWUZhKJ+UqwhKAyHShVQMQyIMDykUKIHyDISAlGsST4ZJpSQrP5pFxdhd1rcf6DMYaWhylcnML2bRFgsRcyw8LTCSCtvVBONJehXUUbc4RNV8i9JBHl7KoyzSjF0RJxDxaG8JIkxJ1eIYn72Sw8lnKwxjx95zyOfzbXuEEOyy624sXF7NwMqy7g7Htxl29Cqa//jHP9hnn+/eQsi2bcaOHcvYsWP54x//yPLlyzerff8T1+fzZVRRr3wModfeAHfTR8xkqAQ58GLwLKTKwc4/CSE3bc86s6CU6EHH4O17IosTvVjWUURdLExNYy4xN0pCRVEijGvndPLMtq7W1nZGHn0+Tc2tpJwUynMBk7xoD7SpEabADkgiEZNw1CIQMrAsg4ChMaRCSo0QGsPwEEKTaOlgzaezcDriG/RjVQyh+ITzqAvvh214WIZL0jNQCKShqW3NorElzKF9FxBc2k54YRO5VW1kdcQoyOog0W7hJQ3iLR6Tnyzm4/da+estn9LRvhmJvc/n83WRU354Bm9PWdDdYfh8G/i+5O5/RaNRhg0btlnt+wmez+fLKCtgYQgwAAONRG/0mK+TWX2RAy7G6HcJwt78tVzZRXlYhcU0u9nMa61kTaoQr6QfhUeNJ7zbHgQrB2x2m1tbTX0jo487j7aOdkChlYcQksL8UvLzA9hhTb+BuRx5zEBOOGdXDj9lBHsfNYyBu1di5mQhTIU0XaThgVbYwsFpbcJpa2XlO599oz8RjHLsZaeyoHAPzLwo/QpacbUACYapWN2ay1NTRrFoTR6tbVGkmUsw1AfPKUaoMLFWm5ef78vi+WXU18V469Ul3Hnjx9TWtG/9F287prVGpWKojiZ0vC29jtTn822WMWPGsGBFQ3eH4dtM66poZvLW3aZOncohhxxCa+s3l660trZyyCGHMH369E61vf3MTfL5fNstQ6arNwKITlxWkrlDOt23kBIzaKMdD4EgpsN4OcVkDx2EnZ+PtL9aH6aVi+5YCcEipNX5zdi7Uiye4ISfXMbyVWvSa0hEepPygtwCBlWWctpR+3D84aPIz4986/EqcSAN9yxGdVQjBdi2y3/mTOWuD58m5nhEgkEu++1v+c1VV2xwXDhiM2b/nkx8rYWAFaZPQTM6mYXpuKRiKRoSIZ7+aFca9VKOHR/BkJLSiihrZmTxwjNBsIpwnFbaOlzK++Yy64tarvjFG1z9xwPo0y9vK7xy2y/VsgY1/Tm8ZVPBDKMaV0HcgZxidLwdFS5H9ByAWbEr5pA9MCyru0P2+bZZQgjKe/ehpr6FksLtY8aGb+dwyy23cPjhh5Odnf2Nx7KzszniiCO48cYbeeqppza7bT/B8/l8GWcKvX7cTsJWXfCeXZJLtCCbegEGiqBK4jU1ECwt3eB5OtaAblmE7piNRw1ESxHe7kDptze8lZx6yZVMmTkHSFcUE0Jw/GH7c891lwFQnP/ND4avk8Eo0aEjcGdUUd3ewug7PqE94ZCVlUVebi5tbW389uorue5Pf2TBggX07Nlz/bETjhzEpPdmUtfmUmeEGDa4gHJKmDWrlpq6NpLK4YE3hvNpg8WfbxgHdil795JUN83ivdeXYFuAYbJ0cTPRbJuSrChX/+Ytfnn53uw+ZvM3u9/RaeXhzX0DNf0xaK0HM4xur4dUEjDTyV0ijtu8ElXfRMcHH+DoCFbPXlj9R5J1wDjMyLcn+j7fzuy4E07m/Tee5KRxY7o7FN8m2hmqaH766af8/ve//87Hx48fzz333NOptv0pmj6fL+MMwfp1eFJAKr711mMZlkkgHCAYDRCxk0jlYlctoHX6tPXP0a6Du2IG3vIZuEtfRrUtwUsuJJh4jFTLJJTqnkqbP7/2Fl5++wPQinVLzvtV9OTJu66jOD97o8ndOvYeE7CLTUbd/jEplf5QKyoqYpdddqGoqAgA13Xp06cP8fhXa/JysoPstmsphu3S2NrE7OXLOOL0/ow9pC/atmhJQasDr33Qym9vmoHjphP3488YwV4H9Ka0Zy6VfXIwDEFHzGHunHpSnuZfD8zglZcXdfnrtT3TWpN45ylSbz4E8XaQBiRbwUmy/qPadUhPdgaVcBBSo12P+JoaGl55lUVXXs6KP99E45uv4TZv3nYkPt+O7JBDD2P6/DXdHYbPt4Ha2lqysrK+83HLsqirq+tU2/4Ins/nyzhDglq717VAk+yIEwgHtlr/4dwwdsAkkHIJCBfdHqPh5ReRlkmwuAhnwRS8qvm41csJDGlDuxYkJUKAE/sAV6whEPkhhvHdb8Rd7ZNpM/j7E0+D1munZWqKC/L54N/3IuXmXZszivpw+5c2cUeRlRXhmWeeYfz48UgpUUoxefJkzjzzTNra2th777354osv1h/7gwm78e7UmTgqjuPCv/77Njf96nQICu6572OEoXFwePODBagbFJf//ECKCqKcev4oojlBHvzbdEp6RmltS1HXECdLaWbPqqWhOUZre5KTTxrqly8H2j95B2/pYmgFHU9iRR0IhZB2ALLKwc7Fa6iFujVIlcASDgiQwSRKS3RQ0tKcj7NmFY0rltH04rMEKyoI9R9EoHcfgv0GYEQ37YKAz7ejCYfDqG6umujbPAqR0d/ZtvD3UFFRwfTp0ykvL//Wx6dNm0ZFRUWn2vYTPJ/Pl3GWCa7zVYGIZGzrVlQcccw+RIwk1S+twcIh5Wh0YzM1k14k0qsMK1GLt2YOXgKSqh+BQTGsSBvC8vCcVnSyDldWEwn/DEPmZzxerTVHnvOzr4pqaEUkEmbOq/8hO7tzawNvefRNlFI8+uijHH300evvl1Jy9NFH88gjj3DssccyY8YMZs+ezfDhwwEoL8tn1yG9WFNfS8pN8MaHn7PqtHGcc84oFqxezaRXF6Gloj2eYPI7s1mwYg1/vuZYBvYpYcJJQ7CCFs8/M49Va9rJKwyxek0rJT0iKK35810f0R5Pcu6Zo3bqJC/V3EL9Ox9hddRgGWG0clFSEOwzAuPgn6O0Rdt//oJYthrDcrACLkZWDO1IPMfAcw0CwRTBYIxUMkgqGSQei5BatQKvdjVt7yQJRC1Cg4dh5ucTGDAMWTEEaW29iyw+X3cT0l+r6tu2nHzyyVx11VXss88+FBYWbvBYfX09V111Faeeemqn2vanaPp8voyzLQNTsv7mxJJbtX9pSILhENlFUYIBidaQSmraVzdQ/emXNC9vRMWSiKw83LoUiU9t5JIUGg9lg2fESOqFtKX+gdItGY/3tEuupD321VRJCVR9/HKnkzuA1rY2KioqGD9+/Lc+PmHChPVXCh999NENHjvr+P3RKoVSCdpjLfz9PxMB+P1l4yjs5WDamkQqSdLtIOHEOfvXD/PxtMUAjJvQn+NOHkzPyhzCWRYiALUNHSxb1cSQoYXc/9Dn3HPfJzt1hcjaj6bS2urR2m4QiwVJmL2h9/6YR1xJx6p6Vlx3FW1fzieRiOK5AbSWaFcgDYVpudjBFMoTBIJJbCtJTnYjeTn1SJFCCBBCoxMx3IXTSU17k9hj15J44Kek3vwb7tzX0fHM/037fN1tZ76ItD1atwYvk7fuduWVVxIKhejXrx8XX3wxd999N3fffTcXX3wx/fv3Jy8vjyuvvLJTbfsJns/nyzgpNAYqfROK1P/svbY1FO4+jOyB/bDzckFKUOB6EEtCWyt0pCLQ1ogRzUaHC0jV2hj1FiDwDIHQmqT6kubEbWiduRHIia+/w3Mvv7HBfZecdzqhUGiL2jUMg8GDB3/n9E4pJYMGDUJKSU1NzQaPDehdxn67D8QyPNo7Wnjv0+nMXbwc27b489UnU1qexJUteDjMmL8KTylu+servP7BXACOGN+fM84azqrqFgYOzacjlUDamllzasjKt3n93UXc8Y8Pt+j8tldOLE7jotV0tGva3RBt5OHk9CZy3I9p+HwWyx54hPYOQTwZIJWySMZtUokQyotAyVCo3BORVYwwTLQCO5BCeSaWlSIr3IapWjCsdOVVkh1IUulP/uYq9Pw30DOexX3kRLwPbsJb/h7ac7r7JfH5MkKvWyfg820jwuEw7733HpdddhkffPABl19+OZdffjnvv/8+v/71r3nvvfcIh8OdanuzErw//elPjB49mmg0SllZGeeee+4Gi/+++OILTjnlFHr06EEkEmHUqFE888wzG7SxZs0aDjvsMHr27Mk111yz/v5ly5YhhKBPnz6kUl99eXJdFyEE77zzTqdO0OfzdT/bkl+N4AlNqmPrjuABBHNzqDj1RLKGDSFYUoI2TDBtHE/iKIlr5iHsAEIaCDtMS1UljV8OI/CZRWBJByQdMARKraYl9qeMjDjNXrCI/7v2Jr7+NSQSDjPh0P23uO299tqLuXPnor7jS45Sinnz5mHbNiUlJd94/P/OOIZw0CaVSiElXP3nf6C1ZtTQSg7ffxiDBoZoSzRi29Dc2saUGUv5+7/f4dX3ZwNw+Lh+XH75vsyeW0PlwGySOokjHBCKRcvrmDJjGfc++sEWn+f2pmnxalqa4sQ8k3YnQCqYT9a+B9Fe08i8R16gtTFJ3DFIuBYpHURn98AccQT2qX/BOuGv2BNuxD7nSewf/Qc57CgUNgKN5wYAjSFAenE8aQEaoVLI4Nqpmck2dOsSsGz0opdg/pOoSSeiFv4HHe/cwn6fb9vlJ3jbk3Vr8DJ52xYEg0GuvvpqZsyYQSwWIxaLMXPmTK6++uoturC7WQneBx98wKWXXsrUqVN54YUXmDNnDj/4wQ/WPz59+nR69erFf/7zH2bNmsW5557LqaeeukFyds0117DvvvsyadIkXn31VT78cMOrttXV1fzzn//s9An5fL5tTyBsIYVae9N48US3xCEtix7HH0PWLiOR+YWIaC6uGcARIXROCUqBFgY6GEWGopgYmGYFocYswgsaCS9pRusYnreI9o5/dGlsnudxxwOPUlPfmL5DSEzTZHD/vsS7oOroXXfdxcqVK5k8efK3Pj5p0iRWrlxJIpHgzDPP/Mbj/Xv3ZOzuI8iOhEilUnwyfSbPv/o2AL8691gK86KUFWmUaqGxJUafilze+XQu9z75Bh9+vgCAo48axMUXjaG5LYYV1kSyYfGKegYOyuWzWct4+d0vmfTmrC0+1+1JW0MbzS0OHZ5FB0G8cA5ZQwcz7W9P0x6HpGfieAYpgni5PYkeczbR436MUdx7g3ZEKAd73KUEf/pvZJ8xaA2eZwMaTwdQKYirbJQZQGbnIPOLwDTBS4FMX3DRzbMh2YRa8QLem6fgLXoIHVvVDa+Kz9f1tPK6OwSfb6vZrATvpZde4owzzmDw4MHsscce3Hnnnbz99tu0tKTn75977rncfvvt7LfffvTt25ef//znHHLIIUycOHF9G83NzQwfPpwRI0bQo0cPmpubN+jjoosu4oYbbtigVLfP59u+BQImpmD9zUls/RG8daRpUnrUOHJG7UKwbz9yB/YjOnIYlPVB73k8wT0PRYayCPUdgPQ6ELoDYWZjynyMRJLQ6jZEKo7jvEU8/nKXxfXsK2/zn8lvodfuBC+EpG/vCgJ2gBVVNRs5euNGjBjBUUeN57TTTmPixInrR/KUUkycOJHTTz8d27YZv8ceDBs69Fvb+OlpxzG0fwXVtTWUFeVyy30PU1vfiG1Z/OGS0+lRkovj1ZKfm2DOojUM7lfEJ18s4vaHXmLxivQ5nHvaaA4c25vCggBVzfUU9zSYtWAVJcVBqmqb+PMDrzJ/SfUWn+/2oqMlQUdC0+4YtHsWZo+ezHz6bRpqOuhwDOKeSUoGCQ0cTO+LLyI6fOT3tidDUcKnXUvk3D+CGcLxbLTSIAy8lKKj0SIhKpAD90ZWDkMU9AJSELARgDaA2CpAoVc9hffxWXjL/oN22rbCq+HzZYbWGq39EbztidaZXofX3WcIH330EcOGDaNv377fWPu+pbZoDV59fT3BYJDI92ysWl9fT37+V1XnfvOb33DRRRcRDAZJJpOMGzdug+dfcMEFBAIB/vKXv2xJaD6fbxtiWQam0GtvCp3culU0/5cQgvKjx9Hz0L0pHDmI4hGDqBh/CGVHHUXu/oeSf/QJRHYZje7RH53bA8wEIlSAtPKRKRe7OYFwXOLJx0i607c4nng8wT0PP4WnACERwqAov4ABlZUEgyGmzVmy5ScNPPPM02QX9eDYY4+lsrKSww8/nMrKSo499lhisRh79OjH78cdR+1rb37r8bnZWVzwg2Nobm0hJxpmweKl3PKPhwAY0q+Ck4/Yn+EDe7N8zQLKijXzlqyirDibT6Yv5Ia/P0c8kUIIwdW/OBQ7KBg6sJD5y1dQVGwSTyWoaWwkEJBceuMTJFM7yVoww0BLiScMHG0ggkGWTVlAwoWEksSViVleQd8zjidYuOkVXO3KIRRcfS9G+QC0NNA6vV2J9jwSixbS9PY03IJDMcacj+x3IMJKogv7gA0a0JYGtyP934sexXv/bFTDtI116/Ntk9rb2wkF/Cqavm3LRRddxI033sjbb7/NhRde2KWDW51O8JLJJH/4wx84++yzMc1v323h2WefZe7cuZx++unr79tjjz1Ys2YNa9as4aWXXvrGsZZlce2113LzzTfT1uZfMfT5dgTBiIUh0gVWTKFxY90zRfPrhJTkVPai92H7ULLHcMIl+eurrFl5+QT79IcxR2Ltcxli9M0QLkLrODoYQguB1ZpEJOO0pe7FVVu2ge5TL7+DpyVCmGhhEgqFOWifPUFamGaYlTUt1NRv+cbVoVCIw086k10OPZEOAkz/YhaiLcmh/Xfhr0f/mN8ddBIdNTFav5xL8xczvrWNCQeP5aQjDqa5tY3cnGze/2w6/30tPVXzx6dOoFdpEaOG9GPVmoXkRBVNLW1kZ9m89O407npkEgC2bfK3P55MdUMTI4eWMHfZMpROUFmRy9QvF6NJcusDL2zx+W4P7GgYx9EkHU0ipWhY3UBHcwdKC5QWeHaI3oftRbgwd7PblnaA0p9fRc74k5G2CVojDQE6XVWz9cVHaX32GfSgHyMPfwRRMgqd1wciAgJBNIDywGmFVDN65l2oeff7IyG+7U44HCae3EkuGu0gNCLjt+7W0dFBbm4uOTk5OI6D43Td32inEjzP8zjjjDMAuO222771OR999BHnnnsu999/P3369NngMcuyKC4u/s72zzzzTIqKirj99ts7E57P59vG2EEbQ2hMAYYAnereEbz/tbHy2UaoCHPANRglJyDMQoTSaFNixRxkLE6zdydKdf6c2mMJWmMptAyBCDNs0DBcJdHaRhghTDPCpLe3fKQQwLJsWl2D3P67ceKFv+L1J17g52OPpU9+EVIoPE/RtLKO5vfeI75s2TeOF0Lwh0svorW9g4oeZSxdWcUDT02koakFIQS3Xf5TbNOgtDCLWPtKkql2TFOQHTW55f5n+fiLeQD0KMnjd/93FDWNTQyszGZ5zVKaW5spKbJYsHwlb370KbMXLO2Sc96W5fbIx9ECTwtcJVizuBbHBUeBqyXBojwq9hiyRX3kHDSO0l9eg1naA7RGGALQoDVOUyOxe/8PZ8oryKG/wNjjLmSfc9CFg1FhA4xIOiFULrQtQS94GD33X7AFf+8+39ZmGAYIf+tn37bl1ltv5YwzzmD06NFceeWVZGdnd1nbm/3XrpTinHPOYd68ebz77rtEo9/cl+mzzz7jqKOO4tZbb+W0007b7KAMw+C6667jggsu4KKLLtrk46qrq7e4lPjOKJFIUF2986x52ZbtqL+LZCKOKb666h/vaNsuzvObv49x2CKOZbyDUB1oCVZHMzG7F3Xcj46d0Kl+JB5tHSkCgQgpR7Gmto1oJEookE0iDgHLYsq0lYzfb8tfs45YgpSjMKSRHl0bVUnowxL0miokYKDwYg7tNfWoic8SHHcUMifvG+1cet5p/POpiWigrqGJK275C3+45HwAzj7uUP76+LM0NNSTG2xi+ZoYlT2KKMqLcOHVdzPp3iuwLYu9R/RicGUOy1bXkp8TpLaxirLiHFauWUVRbgW/u+MB/nbNxQghdth/G15Yg2niKJeUo0nUxYlaYn3BP7so5xvbVnSORJ92EeKTNxGfvYmQgNaYwkEpSeqzSTgr3qX9gKvQkSMR9n4E5XMEmt9FaonsSC9YUdJGzn2IaPbnVOvfguFvlr4t2FH/fXSl//vlb0hmGWRFMvs9UYbysHuMyWgfm0N145r3LbFuFkMm2+9uxx9/POPHjyeZTJKVldWlbW9Wgqe15kc/+hGffPIJ77///gZr69aZPn0648aN4+qrr+bCCy/sdGAnn3wyN954IzfffPMmH1NaWuoneJ1QXV1NaWlpd4fhY8f9XayKhuj42ntp0LK2i/P8tt+H1heSrEvhxF4HYQCKQPtcVKFFNNKGbQzY7H7OOWkCf3nyTVJODM9L0tKhsO0oASsbLBvbtGhulEgjSnFR5zc7B8jPL6CwoBDP88jJyaW0tJS8357DR1feiZFowxIelnRRzc3Y+RaBz98n97jTMcIbrrW+8IxT+HjGHOxAiOWrq7EDYeYvr+KAPUdx/g9P5K1PpxGNRJgycw7lPSqZv3QVo4b2ob2jnf++8zk/P/M4AO648gL2PPlShg3oyYx5ixFEGFjZkxWrawkHTD6dtZDjDt9/h/23AdB3j0HMeGM2jtJ4SmAJhSEEWitMK9i1533i2aT2OYi2Z/8J9UvBTWGaDsJQGK2N5E+5Ajnmxxj9j4Gev0G1HYu39O9opkFMI9eunzVTDRSteQq526UIaXRdfL5O2ZH/fXSVocOG87MLTueGnx+X0X7sHmNIrfkso31sjpQ/NXWbZts2tm13ebubNUXzJz/5CS+++CKPP/44kH5Dqa6uxvPSpWdnz57NYYcdxg9/+EPOOOOM9Y+vq7K5OYQQXH/99fztb3/b7GN9Pt+2RcLXtklQyO6/cNZpQggCRRcjZDYaDy0EUoGKz6PdfbBT65NCwQBHHrAnQlrYVgCtDVZVdQAmhhdEuAFMAsyeV7vF8SslCAfDWJZNKJC+IBbICjP8/OMxDbCkhynSN6ehDlLtOHOmfKMdKSU3/PpicrKySDkajeDWB/6N66Y/D26+/BKa2toZOWgAK1Yvp7wki2lfzqMgJ8Lzr7xJbO1WGb17FvOzM49kZVU1g3oXMn/RQkK2JB5vQ3lJ7v7XY+s/Y3ZUux6xK2YkREpJHCVoS0kSniDhGiyd0/WjMnZZBfk/vY7IEWdgFeaCodP/Li0P3dGGnnYb7pTfoNwYMmsQ5tDrEQVjIL8PWqaLsJgdtbB4Inpm124X4vNlSkVFBXvsczCvfzS7u0PxbYIdfQ3eE088scn76S5btowPPti8fWI3K8G77777qK+vZ88996SsrGz9beXKlQA888wzNDQ08Le//W2Dxy+55JLNCmqdCRMmMGrUqE4d6/P5th3aSWIKjSXAEhAIdf3Vqq1JCAMrcDgCM/2FVymMlEYok6T3fqfavO5nPyAUCBKwQxgiRHOLi22E8FyBKU20J6iu3vLCU7GEg2FaGIZN7tfm+xftOoTiPYZjySQBw8GWKYxUG7gdqNqlqETHN9oqLythwsFj6d2rjLmLlyOlyfOvpz+EepUWc/IRh4AQVPYso7p2NSV5IT6bOQvTkEx847317fzfGceSiLdgSkVhjg0kyY0adHS00dLWtn6/vR1VXmkug8cORksTV0kSriDuCJJKUF/TRnNda5f3KaQkuNcRhM+6HrP3QGQYMD2kocHV6JqP8T49G6/mHYQZRQ6/AbIqIQRoC6FcQKAbFqNXdu5v3ufb2i6/6ne8/NFCGlvauzsU307uySefpH///vzud7/j448/JpHYsPjc8uXLeeKJJzjuuOPYd9996ej45mfw99msBC+9j8g3b5WVlQD8/ve//9bHH3rooY22XVlZidaa/v37b3D/Rx99hNaaAw88cHNC9fl82xAVTyDRCBQChRnc/stVm9E9kAkLDBsVMNFC47kLiKVeRqnNnxITCQcZXNkXW+YQlLnghLC8ECYmyQ4Pz9HU1sa2OO5YwsGQJqZhkZez4XTPvmf9gEjAI2zFCdpJTJlExhoQsTpUw7dXCv3JD4+jR0kxSpusWFPPy+99tv6q5C/OPZW6hibKigvICgdAe2SHbabMmMWbH301KpiTFeWCU8bT1t5GaVEhCxYtpayoANfzMC2bxya+tslXOrdXB566J4XlBXgaHG3gKEHSEyRdeOm+dzPWr8zvgX3Kn5BDxyEDFgQ0hEBoAR01eEvuwFlwPdIMYAz/HRQfAEEnXWETG6o+Q31yCyrR9Umoz9fVTNPkz3f9jbsee6u7Q/FtxLo1eJm8dad1MyJXrFjBuHHjiEaj5OfnU1ZWRjgcpm/fvtxyyy0ccMABzJ8//xvbym3MFu2D5/P5fJvCaW/HQCHX3gJZ37135vZChvph1jci1k41xJIIZaOdKhy3cyMaY4YNISwLiMg8AioLLy4JmAa2bRAJ210yoSSe8JDSREqT3OwNF3VL0yScHyAYSGGZDpbpIlUcoRPgffvWFpZlctIRB9KzpJhFy2tYvrqOL+am9+3Lzopy/inHsGJNDUP696GlrZUeRbkI5fDfV99k2cqvksafnHYiSkEwGEGYAUqKSwkEIzjaoq45wfuff9kFZ7/tMi2TE39xKGbQxkOQVBJHSTwlmDtlKdXL6zPWt7SCmAf+ErnnjyG/EgBtAQhEvBnd8CnOjItBGBjDfw3RHniRYnDXVtLM7QPT/pqx+Hy+rjRy5EhG7j6Wtz6Z092h+HZye+21Fw8//DDNzc189tlnPPjgg9xxxx288MILVFVV8cUXX/DLX/7yWwtaboyf4Pl8voxT7R0YUmNKMCWd2tNrWyOkjZG1B4HWErRpol2JMh20kSCZ+rBTa/FSTRZhJ5uQjhIWEQxt0taeoq09iVKaSGTLRj4dxyWeSAECKSQFOd+s2mVnBTANB8tMYRgOUqQQwkEY312T65QjD6CsuJhoNMqXi1bzzpRZ6x879+QJ1NQ30tYRZ/eRw2ht72Bg30riSYdJb3+VCBcV5HPQPnsipIFp2aQcQX5eMZ4yCIeyeKGLtonYlpX2LuD4iw9EmhYpT67dOgFSDtx3xfMolblRTCEEcsjJyBE/gtJdQJpgkN7XxG2H1rm4c29C2LnIob/CVLVgSZAG1HyBXvYGqmVlxuLz+brSVb/7PS+8O4dYfPusMLlzyPT6u22nGICUklGjRnHcccdx6qmncthhh33vdnKb1GYXxebz+XzfLZVY+5aqEGhCvXaMam/CTWLULcBoVaiQAEy0GcFNzcZ1Nn8h/4rFLdjawvJMTG2hhaLDiaNNRUssRlmPLSujXNvYilYCgQFICvO+2Z4ZEBiWizQ9DMvDjBpIS0P4u/fnCYeCDB/Yh4qyYuJJh6df/nD9Yz1Lijlo7zEsXlmF64FhBQmFsxkycAifzly4QTunjD8MhU0olE9K2ZT36EkgkAM6THWty/wlO34Z+NEHDuKAE0eBbeN64K3dI6+1KcGff/bvjPcvex6AMeI3yJIxYEfRUqSnayoNNa/i1n2ILN6DePEhELZAuWjDgEgJesY/Mx6fz9cVLMvi8qt/z2OTPunuUHy+jPATPJ/Pl1HKdRFaYQiNFBohFFk7SIJH3u5QMJZQajcEhSgblJHCsyCV/Hizmlq5spkly5txPQVaELQNFqyspj2ZIBSWJFIOI4dt2eu2Yk0jQppIYaKUpKTwm/vbmdEAMhjAtF1My4VYI9ppg/A3n/t1Y3cbQjgYYmCfcuYtraKqrmn9YwftPYb2uMu8patQwkJhkpOdS33zhovG99p1KIX5peRml2KaOUCEwuweCC+HLLOQN9/d8Tc+BzjyzD057JTRCMtCaYEGPA3VS+q54bR7SXR8+3TZriKiFcgR1yGKxyLMLNB67U2iZ1+L8hziZceiTRudVYjwPGhbA8rz1+LtpH50/rn868H7uzuMzXL44eNYUZekvsn/m90W7ehr8DLNT/B8Pl9G1X82AykUQqQnRpiWgZA7xluP0eeHmKP/hD3oCix7NNKLIF0DbZt4HR+j9aYVW9Fa8/NfvZLe7Npz8VB4wSQdTgrLEiQch7326EV5z5wtinfxihoEEinTI3jlpd/cy1QEDEzRgpQuQnroZAKtUxiB8Pe2vcfIQaQcl9ysKCMHVTJn0Yr1j40ZOZjCvByaW9tZUVVPezyJEBKlNG0dXxWOEUKwz667UJRTihM3qV6TYsygoRSHijFTEZbOb9vhi62sc8TpYzjpZwcgpEDp9GQiKTRtLSluP+sfLP5sXkb7F0YQY+BvIXcPEMH0CJ5WIALoFU/hBcsgdxDoBrRpgZSw6n2o8kdEdjZVVVUs+HI6f7nn7u4OZbNdd8PNPPj8R90dhs/X5XaMb1k+n2+bVfvex2sraKZH8MI9S7o7pIyIyHFo2Y42XFAK12zDS23al/CLL3uRhSvqiDspXDzisoOallak0PQuz6ehKcaFZ+25xTF+MXcFSmmkEPQsycOyvrmuTkaCSMtBWi7S8pBBjQx/9/q7dXqW5JNIucSTKSKhIFV1zesfG9S3grLCAvqV9yQSCNIR91DaJBzKprZhw6vnh+w1HC8RwHCiRGQ2/XoVI+IWOVaIZLNi1Yqd52r7XuOG8st7TiEUMtePgJtSozyPF299kTlvfpHR/oWQGAN/DXYpaAEahNuOrk5vWyHyh6fX6WkHLRX02ANSfvn5nU1hYSGesLj4Z//X3aFstl133RURzGfpqi3fY9TXtXb0ffAyzU/wfD5fRiVWrkSK9EbKAk3hHiO7O6SMMGUPAuyLTEkEAhWKoOLLvveYVMrltJ/8m9feXUDCc0jqJHERJ6GT5GYHyc4OsXxlE3dcdzSlRVu2/s7zPN7+ZAEagRCC4f17fft55BcjbIUMusigg4y4yMDGC8YIIQgGA6yqaaKqvoXq+ub1jxXn55KVlU1JUTED+/XDNvNAR3Aci0Riw1HOoQNKySWPntEisskiLxok17AJa0FQa5YubNyi12F707NvMdc/82PKKnMxhSYoFSHpERQeM554nZVT52e0f2kEkX3ORaz9PwA6FoLyEKFSiPSAQDhdbCXZiE42ZzQe37bHsize++ATVq5cyd/v/SuTJ08mHo93d1ib7I833sqDz2/elHqfr6u1t7fzxBNP8Mc//pHm5mYA5s6dS21t5y4++Amez+fLGKe9A+E5SDSS9OhD4Z67dXdYGRMwRqFND7RCOHGcxGff+dxX35nHqMPv4ONpywlqk6gOEySIRpObFUILjW0b3HT1key1W8UWx/b8a1/Q0BjDNmw8D/YePeDbn1g+CmFphKUQpkboFNrtQMU3/iGTlx2ltqGFeUtWs2hFzfr7hRBYVgApTQJWCFtkI1WERMzCMDasDBoImAwoLSCYElgpjYopepYFCdtgS4/6NTvPCN46hmFw6b1ncfi5e5NrO4RNj6DU2E6C+c+8kfH+RdE+gAloQIIRQSZWgnAgFIWAASIF7QsRHcsyHo9v2yOl5MEHHyS+6jM+feVhjj3qYH71i/+jpaWlu0PbqIqKCvoO3oWZ85d3dyi+r9mZ1uDNmjWLAQMGcN1113HdddfR2Ji+kPnYY49x2WWXdapNP8Hz+XwZU/3SK+mJECJ9M8JB7KwtG4na1sSXLGb57beSbG4hIHfDSGUhPNCWgWd1fOP5b3+8kAOP/wuXX/4CBUmLYUYepSKHkJDY2GRHguRmh+hXWcA/bjme/fbss8UxNjZ38PBzH6M1hEMBHAcO3mvItz7X6DEcYdtgaIStEaYCrx1d/eG3Pv/roiGb3GiQ/OwQtrnhh2ci6dHSnqCl2cEihHIsWls8crO/ubYvYgsCUhMNStyUS1FhEEO7BG2It20/IwNd7YCT9mR4X4uo6ZJjpggZLqKlASee2aIrUlroUNnanxTa68Bwm9FeHToUQFsOhAU6Jxed1zOjsfi2TUII8vPy2GVwb04+Yk/+/OuTqMzu4HdX/ba7Q9skl/76t7z4rr8vnq97XHLJJfzoRz9i/vz5BIPB9fdPmDCBd955p1Ntbnxhhc/n83VS8+czEAJAIzTkjBjc3SF1GaepkTX//DvJ+kbaYzDzdw9w0PUXYogslNECrkKl0vuCVVU38a+/vcbcL1YRSilGqBDVgTBCm3iuScxwCHom2tDsO6o/u4wp4qxTRmGZxhbHGYsnOe+3j9LUGqe4IIfmlhg/Pf1ADOPbr+9JaaBKBkP95+n1VQJI1kPrdLQ+DiG++6qnYVhU9CgjOxqiZ0nRBo81tiZpaG6FWDYDeoRJtGs62gXFBd9M+MMhScAWSKFxHZdwUGKgsA0QndhfcEcS7V1Bbs1sQtJFI5COh9PShhUKbvzgLaL5+gVvZUZw1QqwFQRdZDgM4QpEdAepkOvbbA898hg3XXMpV/74KACGDSjn+ftfp7Gxkfz8bxZ02pb06tUL7Cw+m7mYMSP7dXc4Psj4OrltaQ3e1KlTuf/+b1ahLSsro6am5luO2Dh/BM/n82WE8jxUeyvpIu8ahKb4oP27O6wuIyNREq5BXSKL1bEsVtQ6/OG0B5n6soOMOQitUWH464VX8MnldxGZt4Ry4dA7ZOJoD0MqQtLEFR7ZYZPCgghXXjGWG/5wMOeftnsXJXcOl//xJWLtHktXNNK3vIiKnoWcMG7U9x845kKwSd8CoA2Fap+Pqn//ew9LpiArEsUybcJfuwrZEUuyck0bHR2QI4uI6AixeslhY4Yg5Tc/ZIXrEBAuAeERDkoCliIS0NjSA3fTKpPuqCoP25OENkhpiaMlSU+yZnpm1+EBaKcKpAAhwM5BWTae2YRnxFFRA5VTAJFsiPojeDurXXbZhSWrG1m6Mj2duyg/m9OP2IXjjj26myPbNA89+iRvzqzj/mffJ5bwN0D3bT05OTlUV39zn9dp06bRs2fn3lP9BM/n82VE68yZGCgMkd4DzzQkkd5bvpZsW2HYNnkTTqBFZtPq2sRci5QnWTojCLaRHulyFfsPb8IA4p5LcQBA4wiPLEOiTM1+R/TlupsO59+TTuaY4waRlRXokvgaaju4+br3+fyDJpIxzajBldQ3dfCXa09FbmSbCrNoCGT3/CrJs4BYNV71f1FO87ce4zgerW0JEkmPZasayYpE1j+2bFUdICnMyaEomI+MG5SEsth3997faEdrTbK1jaClyIpIcnJsWqsasIVDyFbk5dudfk12BAX9exEuLSalTJLKIOaZzJn0aUb7TC25E4SHNgDThGAxhvV+upCQ2YqKBNDRIpSlkJH+GY3Ft217fuJknnp3Kdf/fTLvT51HdV0LRx+9fSR4wWCQx554inEnXsDld07k7U/ndndIOzWlM3/bVpxzzjlccsklzJkzByEELS0tTJ48mV/84hdccMEFnWrTn6Lp8/kyomVKusCIAAQaq7igewPKgOKRA+i3a0/eem05NTGLmGuiHIHZFEdbBtqS5A6M0fSJImSmqxAuiLmUDS1n3DGjOeDAARtNtjpj0ewq/nXXpzTFYLdBpcxcWktOD5P7rz2VSHjTEkg59k+oD3+EFg4YAm2Cbv8Sp+pB7PJLEGLDEcYv5q6gvcNh+Zo6OuJJdhn8VTI/e34N+eESKqOliFabjjaHgUMKGL172f92y6rFdSjPAy1wUg4BU9Ne24IBhEImZRXfv+F6V1JKoRrmQfsqhJOArJ6IwqFIK5TRfrXWaK8NvBjoFBqFkAaIMBhZDDthf6b85bl0jBriLUmq5i2nbPA3E+YtlWh6AxonI4z036/2PETvCWC9jJJFENAIM4S0gghyEVZul8fg23706NGDx558iqqqKq753VXc/8CTrFnz5+4Oa5MJIThq/HgOOfRQbrnpBq6483nOOnoPhvTzR6Z9mXPdddchhGDMmDHE43F23313bNvm4osv5vLLL+9Um36C5/P5MiK2bClCrL1EpiFr2LcX9djeDTrnFEoPruLNf3/Om+/WETJSpFokZs90AqR7uMyKRYj0r2T/I3fnR3uXEw5lbhRq9ocLefe/MyGZxG3TtHe4HLpvHy782e4UFUY23sBaMrsvqu8PYcWjaFuAKdHSQTe9RSpcSKDwrA2e/+6nC1lV1YrnGOy321CG9u+x/rFPp66hV34PQvEwCUdTVBymb788+vbL/Ua/U1//Ep1MEcmL4LkeVTMXEQ4JPCmxLUH5oMys8dLKQzcuhVgDqn0NLH0bWlcALpg26BSg0ELgCQ9y+0LZXojKccjI5u3tqDwHkahDxdYgUk3oVD3El6OdGrRw0EKhTRtEEq3bUbINbbrgWQghKSqAIeOzWfxBL9qawijg5euf5JxHf9OlFwzi7ZPw6v6BYQnQEhwQOf1J5rSikyaKBMIwwMhGGRIztONWyPVtnrKyMu64824u+cWllJV980LOti4QCPC7a//AypUXcPutN/HESy9QWphNPOnw01MPIBzsmpkWPp/necyYMYNf//rXXHXVVSxevJj29naGDBlC1hYUpfMTPJ/PlxEiHkOi0QASckdvZN3XdiynoowTfjOBE34D3vx7SbXOwm0JAjb5xcXc+tylCGFttJ0t9eUrn/PB89MI5OZSUhQgp8Ait0cBZ/x0D8KRze/fHHQBqfYp6ORitCnRBmiRwm14HmEXYmeniym4rscr78wnlYRRwyrZc2Q/Ana6v3jc4fNPaimOZJNIuAS0oE/vHHYbU/aNgi1ffrSI5TNXkZ1tI6ViYKlLxHRwwgZxT9N3eA8KynK3+HX6Ot1ejzf/FXT1DIRy0a2rEYl60ArQYAgQoA0NCDAMwIW6WdCyCL78J56dDdEyyOqNzukLgRKQNrgx6KgHtw3RthpiK9Pr2Lx2dKoGbQXQZiC9xYCRQhti7eucvmGK9M0SgAEqiV570aTPLnEKSlpZNa+ILz+sAC147op/cNLNF23xa+J5Lq3JWyA2FdMG5UqkkGAGEUN+haOfQAsT7XUgjCzABCmRoT22uG/fjiMajTJ8+HAAGhsbeeCf/6CkpJSjjz2O3Nzc7y3YtK0oLy/njrv/yvRp01i8eBFFRUXcddcNXPGjI7s7tB3ezlJkRUrJPvvsw5w5c+jbty9Dhw7tknb9BM/n83U5rTV4Hgi9doqmINhjJ5ni4imk7IMO1gIe2l2GcqsxrPKMdrv87ak0zJxPru1SX9eICoTZ7ZARHHTCyC0a1TFH/Z3UzNPRXj3aliAl6DjJhvtxdQeh7JP4939nMH9hI8P79SYrEmDMyMr1x7/22iJClk3T6hUsWPwSMWc5UxdK6joOoqz8UkaMGJGOf9YK3n92KqZtEgxZSAmjR4WhZjk95TKWub0ZPW7klr5M66l4K96nj6LXTEMEI5BqRrdWAU46iUrndaDT/41eWyzIXVvFUwBOIn0BI9kKHe1QNR888dXqdgXrk0QJCJ2uTGqI9KevmwSVTCdxhkj3oTTI9LTmr5aIrPsioll3p0QRyklS3KeJvNI2vnirD61VHjMm/pNdjuncmg2AWGo67eqvCN2OIQWebaa7TxgEKv9JTL6K1kY6CVUOwipGe01gFWOYOZ3u17fjWrBgAReedyYnHzqClbO+5CfPPcbnsxcx+eXXGDRoUHeHt0lGjR7NqNGjAbjt5htIOS625X+F9m05IUS6QNGSJfTt27fL2vX/On0+X5dzmpuBr76WIiXS3jmKY8jex2G0DUWmHkAQQdglaLcZMpjgtcyaQ9u7b+K2SMpKipB1SXb54Z4M2mvgFrctpYE94kGS804FUmgJypSgU7itj7OwZjn/eiyb8sIScrNC1NS0ctjY9HTcZNLlkYem8eX0v7CmeipKKcrLyxkyZBBvvf0mDz/yECeeeCJ/v/k2lr/6CWHp0qYFQkrGHDmcvKJ38XqsIeqmiKRczC74QqWVhzf7TZz3/o5RWI6WIXTNQoRKIoy1yZtMF4tM/4+GrB7gtECqHQJZkGwjnQFq0nsHrE281mdkX0vIBF89Z+1d6eO+/lwB3tq2hEAoA+1q0Bqt1NrEzwDDBmmAdkE72CGPvOI2tBaMPXEOK+YWMufNGOWVPyd34C+RwU3fQzHlVNOq78JjJQKFlhIvaIFKYcgSAmU3IwxQqfkgTbTWSBeEYYORg7QrO/sr8e3gcnNz0cCXS2s5+fDRHHPwKH5z21NMmzplu0nwvm6f/Q7inU/ncPjYrrvg5PumTG9Gvi1tdP6b3/yGSy65hCuuuIJdd92VcHjD/WE7k/j5CZ7P5+tyTlMTX/sGm56WtpMQkZ4Y4R6IpXeDbkY7q9Hh/SA0IiP9ebE4Kx95nEBpGYWxOlo7LMaefRQ9Rm95creONMJYAx8iseRctOGAlGhD0J4yuO2ODppqLQYOUUz9ooN///OE9Xvs/efh2Uz55C5qG2cQiUR4/PHHGT9+PFJKlFJMnjyZ008/nQuaz+GuU09HdwiWehYDRlcwbO/+JKtexwu5aCuK4bVt8Xmo6sU4nz6DmvcOonwIqmk1JBoQRnq0TCmBNIOgFAw7GrHLKci21ejmJdBeha76DMJFsGYKRMsBDW2r0tMxWTulk7VTOfXav3+x7va1RJAAeMn0aJ6MgBkG6SICUUSkBwTzIViIiPSCyCBEqDdSbljUxksswam6Fy2aaVjeQlZOnOF7r6DXgHpWfRklYPwCI1SJLDoNO2vP73xNEu1fkkzcTypUizLXxrguViExInsSDf8CIQLEO17EcCXIODKlsZJhkB1gBLCMHWePS1/XKi4u5p0PPuXVV17mgUf+xeoVS+nTfzA/PP3M7g5ts02fPp13XpvIVT8e392h+HYgJ598MgBnnZVe275u+rLWGiEEnudtdpt+gufz+bqcjsc2+Fl0wZ5u2xMhBEJE0DqGkFG02vw3501lhEP0Pv9slv/zIUJlpZTttSdFXZjcrWNa+YT7PUTHqovRoo2EY/KX+0by6WcljBzRwLQZOfz0/KX0HnA1tYk8Zn0yhPvvbWJVdbqa6jPPPLNBuXQpJUcffTSPPfYYxx57LNecOpjd+qSoNPek93HpqVA6fyBJXY2SSRy3EaUcpOz8WkbVsAJv7rvI0gHo+tWgYwhtoVNeOi2zbHReb8yjr8eIrN2YOVoMZV+tH9VeCtrWoGJ1iFQbxOrQRgghJcpJgBcHLwV46cTOsBFGYO3/D6JDeRAqQkRKEWak09NnjWBfRO8/IesfJy8+mfrVYYIhh4KSDqyQR7xDETYW4q25AUeGwMhGyjyEEuhUE+h2lIzhBRQqbIFngUyvpdNCI4kStc4nZKfX1SnloFs/Q4oUwgQVD2FoidYxEO3Igq6v4OnbsYw74kjGHXEk7e3tmOb29/VTa80Vl/2Cqy8cT272phes8nXOzrIGD2Dp0qVd3ub29y/M5/Nt85Sz4WbUIgNbAWzrpGOnqyMSQ0QaM9pX1uCBDPjNL2j9ci5FY797tGZLSTOPSMXDNK38E4/9S/P+WxWMGV7HZ7MKOHbCKk45pQotFAtmetz9+wCLVj9DOBymoKCA8eO//Yr3hAkTKC8v5+6J73Lf7w6iV+Uu6x8zzN6Q6kA4HZgpUHYNUvbqdPzG0AORM19HNaxERPKwD74MrRXOs79DRPMw9zsPc/jh39uGMGzIrcTIrfzm69PpyDpHSgu7+ByM7ENZs+RqDKmoXZ1NbmkHCoFSGmG4oNoQTiuolWsHFjVaCJASoQyko5CWQpkKsAmwLzn2eRtsheE0PQ+pJoQRRngGIh4C6hBCIu1ipPSrCvo2TTQa7e4QOmXmzJn0Kcv2kztfl+vdu+svkPkJns/n63JmVjZrFx8BII3MV5Dc9nz96mDmd1QNlBRTVFKc8X7ibS7PP7gb86bVsd+oZt6fXsSRB6/inHOWEgh4LJiZzz3XjCJke9Q3LcYOCIYMGfKdI1VSSgYPHsyU+dNwiwNYoa+SCoMS7DVrEErgeUEwayCr8wmeEAJ73E9xv3wHc6+TkdbapOSwnyMH748Mdr4kdXcygr0o2+9OJl53B32H1xBP2gSjDmZAkVOcQGidXvf3P1eshdIIJRA6fUEiZO1LJHA+hrHhelk3Nh/dPgWBidYSaZdhOGsQpgBhgdX534nPt057ezta6y0qDZ9Jr7w0iT2HV2z8ib4uodbeMtn+tuLBBx/83sfPO++8zW7TT/B8Pl+XS9XWkH77TH+hVK6D29aGuY1+cGeCdAJorwhhhBB6xzjv1tpm/nvbSyRTkn4VARYsy+W4I0s5/rxasvM1X35SxMN3DkMD7S02aI9UymXevHkopb41yVNKMX/+fKJhgQ5F0F+bzStkFKsuCdjgeYicRtjCl1Lm98Le74wN7jN33f7X0+QU51I8ZA8+e2suVsChvH8jBb3a6GMmyM1vBRxApaeiCoEQoGUEYfYkkHUUgZxDv7Vdx2nA7XgLjDC4HUhhY9i7It056Smn2kQGdpIKub6MufGG63nn9UmsqGpg7vxF3R3Ot4pEo8QaU90dhm8HdP3112/ws+M4VFdXEwwGKS4u9hM8n8+3bdD/s7+R9rala2Vbh07Wgtu8tmhi5tbgbS3t1Q3Mfu59wiRpqI9hZ+cwdv8yTvjpAeTkHcnnr8zkrX/PpD3u0NgqiEQ8AnY+7fHVrFixgsmTJ2+wBm+dSZMmsWLFCs4+fghWQwcy4EIo/ZgQAtmSA04coRWiKAbb357JW82hPzmC+R/OJ5mwWDy7hEWzS5jyuuTC+84hGFagvLXr7MJII7RJbcYbbkK7azCtPqA7MEL7IbSHsrLQJMFLIrP9/e98W2b5siUM6F3M3EUruzuU73TMscdz5S8ns9/ufkGhrUFrgc5gpctMtr25vm0NXl1dHRdccAGnnXZap9rc+RbG+Hy+jDPz8hAChNAIoZEmO9XoHYC0KpHB4cjgEJCbtuZEa01rQzsNq5toa0hPV9oWOB0xVjz1Aokly8jNMuhdmUN5RTY//MXBZOcGmTlpCh9OmsWXSxwaWiVZEYOODpMjD/tROkmTkjPPPJOJEyeiVDrZV0oxceJEzjrrLKSU/PKIwcg1MUT8fy4OxLNRLRa6RaLjzreF51vLMA3Gnr4/Uoi1k4LT2y+88+CHSKsQGShBWgWblNwplSIR/xCla8FQ6EAOOlKJnXcMWsfRVhBtaZStkVZuhs/Mt6O7974HOeX8y/jvxEndHcp3qqiooLEt2d1h+HYSRUVFXH/99fzmN7/p1PH+CJ7P5+tydl4uUqyboqmRaif8Yt40nXWz/EXpcd/71KrlTcz6aBGtNc148TiBgEkwZBCJBigf3JOK0f2QRvdcj9Na0/TMY0QMh2zdSnuLpufggex29jhMy2TFW1N47qHpLGywaEkYFEQ1De2Kw8b35dwLT+TjaQ9QVVVFPB7n2GOPpW/fvgwcOJAFCxawZMkSbNvm2N16MTSSg6pTGM7/fCxJG4EBykN3olT0zmbU+N349NlPSLQl16+7W/DxAvY/p51o3qYXt0ilphBL3IewJIh8TGsUdnAMAhdPdSC9+ahAL2TAX3/n23JCCPbff//uDmOjTNNeX7rel1kKgcpgpctMtt1V6uvraW1t7dSxfoLn8/m6nJVfiFy3J5jQiJ0swVNKIXJ2Ae2BdtHi24vMrF7exCtPzWbFvCqyIoKsiCRkgkq5qJRExeLMXFrNwo/m0H+fIfQe3X+rJ3rO7A8IJRfjNCuKi7PJimQz4JwjkKbBklc/4JF/ziLmGDTEDEqiLjXtJif+cAhn/XhXolGbGTNmsMsuu7BmzRogPe0kHo/T3t4OwBGHHszf9sknUR8AO0BIZm04tUR7YBoIz4GdsljP5hFCsNfJe/POv95Ze49Ga3j/4bc58hffnCL7XZThQKAnSqeQ2sIK7IaQ2Xy1T14K7bQgc4/IwFn4fNumgsIiWtvj5GSFN/5kn28TXXPNNRv8rLWmurqa5557jhNPPLFTbfoJns/n63LSNJFSg1YgQOidaw2eEAJZfBAgQRiIrA33pXMcj5efm8fU95ZhoAlEggjDI96RQgbBS3i4HS5Glo2UgkRrjC9fmsLSD2ZTOrgXlXsMJlyQnfHz0G4CufAxrKwsojXLUQW70PPUUxBSMu2/H/LRc1MJKI9lLVH65aeoToa5+NejOeakwci1m9vn5+ezcuVKnn/+ea655hpWrVqF4zgccsghXH/99QzMsmh/8A94KYkwg4jAV+elPRecFBoTrRQEczN+zjuCXY8czUf//ohU/KvpZAs/XcChKQfL3sQk2WvCUCZKJzFkLoaZB4BWCaQIgAiCGUallmfiFHy+bY7WmpaWFhJJh5yda8VBt9AaMrlKYRtZAQHA+++/v8HPUsr1UzR/9KMfdapNP8Hz+XwZIaQGtXYlkGanmtYihECUfftoSdXqNh57YAaNtR0YSFKJFO3JJJEA7DKmBwNGlJJfHKF2QRVNK2roaGoHN/3axZvaWfnpXFa9/wV5PfMp6FNCfr+eRMt7YIaDXX4eau4L/8/efYfHVV0LH/7tfc6ZplFv7pYb7gZTjOm9Y1pooRkIBEgCafdCcpNAAgkJCR8pl5CbTg2BAAmm92Y62Ma9d1u9l2nn7P39IWPiYHCTNLK83uc5jyXNzJ51NJY06+y914JwDLdpAe7IEuykwzHKZeEjr7D+rVnYjKE94zG6pINUTjnf/J8TGDm6eKtjnXnmmZx55pmf+npq3lvgelhjUY6Lyi3cfJttXt85A+w4oBQqr1+Xn2NfpJRixAEjWPT6ws4vWPB9mPP0HA4444DtGyRIoH0HbSNot+CTsXWUILkQ6znghTBmHda0obZzn6kQu6sNGzbgmgTlJfnZDkX0Ma+88kqXjykJnhCiWzieg00Hm1tvmUQHTmzPbRBbVdPCk08v48O3qnACCLsakw4gsEw9fBgnnD2egqJPlv0MGDUAP+Oz8q3FrJu9jFRrB47nQCZNOCdCqqmFqrcrqXvtLUKZNkJRl2jcJV7k4ubl4sSiONEITjSMjsZQ8UKcssFQUI7WzhaxWWMIWlswTXWYdArb3go2A/PewjFr0BooHoat2I/KfzxKw9z1OEGa8pwMebEIuaX5nPqjcwmFd/xPSlBXhQpFsEEGHc1Fhz9JVG3tQpSTARVGORpd3PXNYPuqwy4+nCUzF2OCzr2w1sLy2au3O8FTJkAFPli/czb+33jF55KqXYN2AgzNBJkNuOHR3XAWQvQevu8TCcsy8Z6yJ+3BO/roo3nssccoKCjY4ustLS2cccYZvPzyyzs8piR4Qohu4YRcTCa5+XOTSu6RCd6aDbU8+twc3n53A2GbQ66OorSD0or8khiXXDGJ4aNLtvpY13PZ64gJjDxkLOvmLKd6/mraK+sIOtrxE+2EghTapLDKJ9PcgW5JEmpKYPNzMTkxbCyMcS0q6IC2BmirQeXmEhQMxQ9y8K1HqqYVJxYjqK1GJ5sJjxpHZsV8vLwQIacRQxoVjhI0rSDz5pfwvH6UORabjGJDmv32qWf4BVehdiK5AwhqN0Ioim1vRRWVb3lj3fsoJwmhCMYpRYX2vP8/OyunIE60IEZrXfvHu2GpWdew3Y9XgY/KtAEGVAprEijdWX1TewMxXoZAp1E4BKYaF0nwRN82Z/ZshvaX2TvR9V599VXS6U/3WEwkErz55ps7NaYkeEKIbqFcjVKfXPm3He1QuPXle33VnEUr+P3fX6Sl3eCGwrjK4jqaiHYZP7aU8y8cTyS65RXhTDpD7YpqWmqbCNoTGN8QK4wTjoUZetA4TCpNy6oNJKpq8etrcVIduBmNSitUJoUyAX5zI6a5nsAxONpHKZ904JLOFGGaNcnlrYS8OpSymMAhEmnHpCNobQjWzsZaj6Ctg7QOgXLx/DRutI1ofgJaApyog+PFGDi6Gs8B/8n/QQ3eB1U8DFU4FFUyEuWEtvn9sakOVMs6nIiH7dC4/T+ZoTOpRqypBC+Fimj8Auk9taMGjh3EgteXEGzq99RR30GiPUk0Z9vLeW2QwppkZ68oVUuq7XECVYvr7U0ofAgqCKNJolQEMjWbexcK0VcdOHUqj97/f9kOY4+xJ/TBu/feezd//PDDD5OX98ke9CAIeP311xkxYsROjS0JnhCiW6iQt0WC56fb2fZb/r6jrqGZO/76D9o7MjS3+gR+nBHlcSoq8jnxmL0YP750i/u3NXUw96X5rHx/KcnWDrSfIWQzmLSP1gptfByt0DYg6gS42uASECFN1EmjMaAVKe3h6gxGaYLAIZHJJbAOqUyUiJvEdXwAtA7IZMIo5WNsZ91K5XQWwwmMJuXHcZwMnpNBBSmiI5uwDS45Xj2Zjii5XgNuOo31HQiWY5tXoYqHgrWolnUwdH/UwP1QZRNQRaNQ6tPVP/2lb+PQipMTR6cCvGGfJHGm9hWIhbDWhZAiVbpfd71UfdaYw8cz9/VlBJuKFQQWKlfUMHzSkG0+VlmDslGwzdigBT9YitEBQcfTBMk5EOSjTAtK52JS67v/ZITIsmQySTjkbPuOQmyn733ve5s//ulPf4rWn/yd9DyPoUOH8rvf/W6nxpYETwjRLZT26FwY1nmVTKX2rAax9/3rGRqbGkmmfJpakkwa05+bv3E8A8oLtrifMZb3nlvA+0/PIdXQjGsyONbHUxbtWLSynd0WrAHd2XbCYDr7wikwm/4gWDSBdWjPRMgEOSRNCN94RN0kxjo4GMCSzoRxtY8xGtdNE421E4omcd00TiiDF8uwavlIrFKEXbDGpXhMAwpQJRlsscIusdiMi2kzqEjQWSzU+NC4DLQCNKx7E9uwAJs/GOVFoGAIqnwfVPkUlLtpBmnje2jdAeE4auBAnOIBm78vqnQq1slg698GXY6JDeyR160vGTR2IIFVGNj06itam5LbelinTAvWpDA6ARaCTCXaHYC2cWymEh1sANOK8gog2IA1aZTeky7hiD1FR0cHoVCIH/zP9Rw7eedmU8SO+/j3VneOn23r1q0D4KijjuKxxx6jsLBwG4/YfpLgCSG6hf2Pfm3W33N64W2oquHlt97FWIvvpzlgwnB+d8vVn7pfY107D/76VVbPW49nU8Qcg3I7i2J0fvs+ngHd9O/mFSXq37+KAtKBJhmEsaozxzJWE3YyWCdEkIFQVGO9fGJ5HjllOcQKXBzbBpkmdLoOFbSggFRKk8qE0crQ3lTEgIrV6PbOZ7O5ilRdlFQ6hvYNkbiPm5sGoyCtIAAcC8rvDCrZCH4jNuRBxyqofRv70S+gdDI2bzwqtQad44Lno0YeuMX3xgkPgP7nYcvPxGYaobEX1bTeTYSjIVK+2vz/JhNAom3bF1qstaAVfigFGJRyUaoQRRz8OoyfBms2FWGpA68/Qfss3Nyp3XtCQvSwv/7lT9z1v78kHo/zhWMmsd/4imyHJPogqaIphNhtaNfbskrVVpbo9VU/+7+7aU8kyImECXsO11x4+qfus2xhDQ/85i1q1tQSxkdpyChFCEU05hGNuuSEFDkFMYJMhmRDC5GcMI6yhB1wtY/jaJTxaWpPk2xLkVOYgxcO0VFdRyQ3SrRfMckNGymeOobSAyaRP3oU2vv8X/sbHnkKW7+I1o21xEpiFOw1Gr/Bw2mtw7b6tNYVkmmMAoqcMQ3okAUPMAar2JTs2c7Lo4HqXBvopyFVg/UBR0PNm9jK1ztneWO54HfAkHFbjUfpECpcDlTt4quyZ0qbT/aaZIwm2M7KcdYrBL8Q47ahVRwvNJZYbDrJpr8RBB9iUUAHZBpBF2A65oAkeKIPSaVS3PfXP/Knmy/dYumc6Bl7wh68f7dgwQL++c9/sm7dOjKZLS+I/+Uvf9nh8STBE0J0CxXfshNskEhkKZKeNeOFV1m1rpKcWJSC3FzGjKxg0phRW9xn5dIGfvH91+hoaCbH9fEdhaM1uIp4aYzR+w9l1JSRDBw9CO1qks3tAETyO6tIWmPZOHsJy59/n5Y1G4kVxCnoV06QTNK6vppwPEbRhFEUj62gZN9LcCPh7Yo91dRCy/J1tG5sIFpWSuH+E8kEK9GZFoLGNlKxAVSuiaNdh8JRubijhoPfga2ZCa6LUg6oFIQUYEED/qajc2ISlAHS4CqsSoFKQ8TDLvwf/IKxqMK9UcWHokN7VkGe7mCMxaAJTOdsr7EQ2Y4CK0op3Mh+KL+IjDMa7cTxnAkoFSJaeClptxzT8Q9UAGCxqRoCvRJrkijd9S8OcAIAAIv4SURBVP0Yhehp1louuuBcLjh5f0nuRLd7+OGHueSSSzjqqKN4+eWXOeaYY1ixYgVVVVWcdtppOzWmJHhCiG4RNNTDv88WpLdz789urKa+gcdffA0I8H2L0nDpWaducZ/KDa38vx+/RX1dB56FFBpHBbjhEMMm9uOE6QfTr2LLtgkfJ3bGGDZ8uJR1b80j0diCdjT5Q/pjfZ/22kaCZIqKEw5i0GGTifffsojL9qh8/X1a1lYSKirEK8gnf+QQ2p+bCdVNOAXDqV0TYGIFRPqVEN17b5z9DumMK9MGzUuwrSugcS627n0IFUC6GiK2cympslhHozIGfAsKrKPAoXNJZ6YS01wPqSXQ+jqq8EC8olNQjrRG2FnN9e34ZtMeWAV+oCgo3r7vpxsZgwr6o8watDMAz63YfFso9yTaatbjpZ/HugpFCpVuJGh9Bzf/yG44EyF6zoIFC7juq19m2mFjOXDS8GyHs8fqbXvwbr31Vh555BGWLl1Kbm4uJ554Ij//+c8pLf3039oPPviAgw46iAMPPJCZM2duc+xbbrmF3/zmN3z5y18mNzeXO++8k2HDhnHttdduUVlzR0iCJ4ToHkGwxadeed8vkvH8a29TU1dPW3sHrW3tfPWicxnYr2zz7UFg+MWtb7FqRQOeMeAoHOsQLYxxxGljOP6L++E4n75abALDuveXsOr1j+ioa0Jp0FhMxieTSBHJiTD8uAMZcsS+hGI7N4OSqG2g6u05aC9EpKQILz9OurKSuhUtePnDCNkQHQ5Eysvx0ynie43c/FjtxaFkv85j2LlYG2BbVkDrEmzjh9jkBkg3gG3EhjQWi/14q579ZG+dMmlsphKTbEA1tpFpXYBTegZO7uSdOqc93brlNfjBpiI81pIMHIr6bd+bBaXjuDqOy9Z/btPRk4gnFxIEy0EZbKaFoPl1SfDEbm3Dhg189cvTufmrp1GYLxeXxCdmzpzJt771Lfbff39aWlq49tprOe+88z7VhDyRSDB9+nSOPPJIEtu5cmnlypUcf/zxAEQiEVpbW1FKcd1113HIIYdw66237nC8kuAJIbqFyaT5t/fu6Fg8e8H0kDdnzaG9I0E6lWav4UM59ZjDtrj9gQfmMWd2FU5A5/5E5ZDfL8q51+zPgUdtvTpb/apKljz3AW3VDSilCOflYAMf6/vEivMYNGUcg6dOwA17W3389lr37Osk6hspGFlB+8YaRn7xVNb89QFsvACntIyOpha80mIyiSQm4xPrX/aZYynloPL3gvy9YNA0HMCk6rEdyzEt87HN70OwHuMYIIDAoDKdOzatq7AEkFhFwHpMphZTMBXM4bt0fnuiee+uIx2oTT+HGoNDflEXNazTLk7xMZjKNZiwRYWLCTJLCJIrcCJSaVDsnm78/nf4+oVHSXLXC/S2PXhPP/30Fp//6le/4uCDD6a5uZn8/PzNX7/hhhs48cQTyc3N5cUXX9yusfv160d9fT0VFRVUVFTwxhtvsPfee7Ns2TKM2bl5TEnwhBDdwqRS8G+/QHVuQfaC6QGpVIpFK9aglUI5miMP3H+L2z+aV8k9D84m41ssCgvEYx6Xfv0gphz26b5k1lgWvzSbdR8ug0wa5TiYjE+6PU1OUS4VB49j8NTxONsomrI96j+cS8OseeQPKCXd3ErJfuPB+KTq6okN6k+mI0HKupBK07auhqGnHolSO/bHUYeLIVyMU3gg8CWM307Q+jZB88vYtrlYN7N5yYyydlOHjQw2tYKgrpqYMw9TfB06PHiXz3dPsWJxPb5RKNW5RLOgJN6l+4l06TF4RVNIrf8fCBdgggTJ5r8SC9+IUtIyQew+giDgogvOoyCUZOTQfbIdjuhB/znL5rounrftC6Z1dXVEIhFycj65GPDSSy/xwgsvMHv2bH72s59tdwynnXYazz77LPvttx9f+9rX+PKXv8xf/vIXlixZwpVXXrn9J/Pv57FTjxJCiG1Jpv+tCx64/1F0pa9Zuno9Snn4xoDy2H/S+M23ra9s5Hs/f4aGxhQRGwKtCYdczrpw4laTu3QyzYf/mEnzuhqCwKADi1aGUG6UsadMZeC+o3Dcrmm4m6pvoObVmeggjZcTIVPTQMVpx7DxiecIlZZgAkOiph7KhtC+sRovN4eS/Sfu8vNqNwddeCxe4bGYxEqChmfxW2diTSNWWTAWZTqngK1pw2UBqQ13Eiq7CCe+68+/J9i4rgXfaNSmYqZlA/O3/aAdoJwojhPFKTwWk16GVR6GStqabiOW9xUcRwrliN3Dyy+/xOACuPi0o7IditjE0r178D5eYFRcvOXvqZtuuokf/vCHn/vYVCrFzTffzPTp03HdzlSqubmZK664ggcffJBIZMe2Svzyl7/c/PH06dMZPnw47733HiNGjOCMM87YobE+JgmeEKLLmUwGYywoxaZ6in3e8jUbUW4Ix1i047HXsM7EramlnW/8+CGWrqwnFORigZgOM3ZSKedePOFT47Q3tfPmfa/SVtOE6ygcbTHKYcgBIxl7/P7oLkrsAPy2Njbc/yCZyiryBpfRum49o770RZSjaFywjHBBHonKSnReAYmWNqx2yB83kpwBn708c2fo6HD0wK+gk6cQND+N3/oW+PVYFWxRfdMm5pLe8HPc8ivwCo7o0hj6mva2NC2tPp3VbDqbGux/WEW3PFeo4CySDb/FKoVyC7C6jbbEr3BD+xNxj8HRnyzPNiaFDarBJkEXoZ0i1B7UQkX0Tr/99R1cd96B276j6HPq6+uJRj9Zuv5xwvZZgiDgoosuAuD222/f/PXrrruO8847j6lTd6xdTDqd5pxzzuGOO+5gxIjO5e2HHXYYhx122DYe+fkkwRNCdLnE0kUYq9BKEViLcrouKemt3p23nHRGkxMN07+0kNx4Dr4f8L1fPcgH85dg04VYlUZpRXG/PK786n647pZvbOs3NPD6fa+TamlHKwtYQtEw+551EGWjBnVpvCaVouqeP6H9gJBnsYkE/Y88kKK9x7H+6ZdxYlEy7QkyKZ9Ivgv1jeQPHkDxuJE7vDxzezmRoTiRa9C5h5Ou+Sskl2LpbMytDJ2VODO1+FV/RuHjFhzTLXH0BX//v3eAzn0mCsBRHHXqXt3yXEqFCBdcjG37O4GtwdCKUUl88zrJ4D20KYQghc74KD8FyTVoVYjjDscEjbjRyYRyTkBp2fcketYrr7zCwgXz6ZfvUlq0c9UKRffo3MrQjXvwNo0djUa3SPA+jzGGSy+9lMWLF/Paa68Rj39y8eq1115j/fr1m5M+YwzWWlzXZcGCBYwePXqrY4ZCId56662d3mv3WeSymRCiyzW9+TrQuSzMWoUuKMxyRN2rrT3Bh/PX4XlRQqEIIys694n9/alXeX7m+7Qn0qRsOxmVIK/I4+yzxzJu3Jalldcs3MCTd75AS307QWAJAkusOJ9Drzyxy5M7AOV5xAb2xzRUERtYRrQkjwHTTsBvbaVp5huEwppkfSOh3BghFZCT6xLNj1G679YbknclNzaeyJCf4pZeBF4ctIPVgO3c1mlMDemau0g1/qvbY9ldvfTE0s1FjiyK/Q8ditsF+zU/i3ZKiORehnaHgBtC6wKUjgOKwG4kMMvxzVKCYCVYHxs0E6RXgHJIttxPR+v/kUnN6rb4hPhP993zV875whk88Ne7uPKcLWdLWtoSrN1Yl6XIRG9kreWKK67gnXfe4YUXXqCoqGiL259//nnmzJmz+bj66quZPHkyc+bMYdiwYZ879hVXXMFdd93VpfHKDJ4Qokv5TY0kly5FW421FqUsocF9u5fQX//5BkGg8NwIIS/EcQftS1t7gv+991Fq65uxNgdXK4pyczjk4EFceN4+Wzx+xUfrefqvb5JqaSceVYRCmsGj+3PE9CMJRbunWIXSmsLTzgEFHesrGXDZdLTnUTfjX4QdH5NJEvF8IiEHm0gSLyshd/xInO1smr6rtPYIFZ+LEx1HqvZuTGoR1pjOfXlaYUhg6u9DWUWo6PQeiWl38cvvPY/Z1KXk4wIrl33zkG5/Xq1zyIlfQcZfQkfwLAFLsRjAolUIpUNoNweCJDa9EWtbULYFJzyaTOpNjG3D9xcRiZ2PUn1/1l9k15SpB/O9732fWE4O3/vfv6OUZdywUkYNLuHvz89haMVwctR8rj7viG5btSA+m7EK041VNHd07KuvvponnniCp556CoCqqioASktLcRyHvfbacoVEWVkZsViMCRM+vRXjP61bt47HH3+cJ598kr333ptYLLbF7ffee+8OxQqS4AkhuljDKy9j/BRYDcqgrCLvqJOzHVa3Wb2+lpfeXETYi2BtwKDyMqbsPYq7H32K5avXksmEUBoiYY+9J/bj+q8eucXSzCVz1vPwr16muCyOF4/S0ZFgrwMqOPLiw9Bb6YnXlZTWFJ56NgWpJDoape2Dt0gunEWkMJ9EdQ05IZ9YSSEdG2sJFxdQcvCUbo1na5zYBCID/4eWdb/ENfOwQQrYlLXYJJm6v2BtinDxuT0eW280683VvPf62s2FVayFA48eTkFxbNsP7iKeO5p8dzSBqSVtl+OzHEjjqEKc0AB0tAStC/CTc8kkXsI3K1G6nMBfRBCswwTVxOJXyZJN0a1Gjx7N6NH/DcBVV38Fay3PPvsMS5cs5h///AmlpaX87q47uefxV7j0jIOzHK3Itj/84Q8AHHjglns1V61aRUVFxS6N7XkeZ5999i6N8Z8kwRNCdJlU5UZaZ8/CGoVVFoUGzyUy+NOVIvuKB2d8iAkcgkBjrOXSszpbCNzzyJN0pNKdm8eCDAPK+vODr55MSeEna/bXr6znpcfmkw40leuaKOuXy+ST9uaws/btsSvGynFQsRzSqxaSfGMGbroNXVSELYhSdMzRJGe9BcU55B96MDqUndL32i0iGbmaPPcZTNsTEPhgQRmLVRlSrQ9CKJdw7klZia+3WPTRRm67obPvkqIzB3ZDDt/40dFZicfRpUQpBQ6CrUzIOfGjCeUcRSrxPOnk41hj0SpGJv0m7W0B0ZyLcJz+PR632DMppTjppJM56aRPLkhefc1XOeHYh0imMkR2sdeo2DGW7i3QtqNjW7tjj/jhD3+4zWqcH/vrX/+6g9Fsm+zBE0J0CWsM9U8/hd/UQOfbS42xitg+B2Q7tG6zdkMj8xZVkU6CwuOw/cYweVwF6zZWsWDpMkyQwQZJQq7hsi8cwbiRn+ylS6d8HvnzLNYsbyReGCflK8YcOJzDv7BfVpYDOYWlhMuLCMU9aKqm9KxziU85gsKzp1Nw7HHkjOqeAh3bTTnESq8gXPINcGJYZTv344UcrGNItvyZZPsr2Y0xi957fQU/+uonjXg/fityx/1nZSeg7aSUIhI7gVjef+N6kzBmA447Dj/9Dh2td+JnFmY7RLEHU0px5dVf41f3Pk9LW0e2wxF9mLWWt956i/vvv5+2tjYAGhsbSaVSOzWezOAJIbpE7ZMzaJ03d1P1TAgsaKUoOe0L2Q6t2zz/2hLa2w0OIaw1TD+rc5/T3Y/MoD2ZBANWafqXlHPFOSds8dgnH5pPRzKgucUnHA2YctwYjjt/v2ycBgBOQSk5065APXsflI8kOrqzj59TMoBYyYCsxfWfvNyjwCkiWX87xjRhtQatsNon1fx7XLccN9z9hWB6k4f++D7/uvcj1KaeJB8nd1++4RBK+3dt77vu4rrDiOV+jUTb3WTSb4AqwgQbaG2+hZzcbxAKSwl7kR1nn30uhQWFfO9HP+CGy45hUD/p79gTTGc71G4dv7dYs2YN06ZNY+XKlSSTSZYuXUo8Huemm27C9/2dKsAiCZ4QYpdYa6l//lna5s7FBIbOmbvOxRWR4SNwc/tmg3NrLXPm1dDeGpCfH2XYkAIqBnX+4X/ixdcwm6pcaAVnHX84sX8rw1xf28FLT6+gsDCCcVzixbmcfmn2Zzp1bhE5p30ZQjvWpLWnebG9Ue5NdNT9AKsSwMdtFJK0N/yYnNJf4bpd26uvp8ybN4/777+f6upqysvLueiii5g4ceuN3Y0x/PflM1i3vA5n06Tvx0neOVfuy1Gnju25wLuA1vnEcr9CR1uIIDOXwDTgeGNpb/8Fxl5FJHJctkMUeyClFMcedzwozSv//APnnywJnuhaX/va15gyZQoffvjhFtU5zz77bC6//PKdGlMSPCHELml9/x2Sy5eQrq7CWKezc43S4DgMvPzKbIfXbVavbaK13idEmGSb5bjDxgDw6rsfsHzt+s6Kj0oRi3icdeKWTbmffHQxKR86kgblOpx56WS8UO/4dazC29cPKNvc0EhipT+jrfFH4Dds3nQWeEna239JXt4tKNU7vqfbI5FIcOmll/Lwww+Tl5dHOBymubmZn//851RUVPDwww9zwAGfXARYubSe//rSk6jA5+OaPdZ2JnjTv34gJ52z9aSwt1PKIxa/mlTin2Qys/GDRWg9kETHPRjTRDR6tlQ0FFmxZvUqSgul8E9P6ak+eL3BzJkzee+99/C8Lfd5DhkyhA0bNuzUmLIHTwix04LmRhIznyOxfPnmX5aWztLGBYceipvXdxvHznx9HTrtUBLPQ2dcDjlgKEEQcNvv7iaZTKNVZ6P3oQP6sd+ET2ZSNq5v5Z23NqI8h0QqYNKUwYz6j554Yvu43lDiBd8FHcI6isBT4Gjmzp/Ft/7rLC699FJuuOEG5s2bl+1Qt+mCCy7g8ccfB6CgoIDJkydTXl4OQF1dHVOmTOHss8+mo6OD//raM1x7yQwCf1MvBBSBAa3hhtuP322Tu4917ss7i1DkOJQqw9pmsBY/+TaJtvt3uNiBELtq/fr13PfXP3Dw5CzvRRZ9kud5m/fd/bulS5dSUlKyU2NKgieE2Gkds14nU1dF4PsA6E27f5x4Dv3O6t3FHXbVorl1JFt9csMh9h0/kHg8xBMvzeSjxSvwgwALhEMhzjj+qC1mHB64fx5pYzBK4aOYdv6etV+sq7mhUeQU3oDVmo605fIvvc/hhz7Po/+YQ2VlJQ8++CCTJk3ivPPOI5FIZDvcrZo3bx4zZswgEokwY8YMVq1axXPPPcfq1auZMWMGruty2GGH8fzzzzN4yOG8/+5GAtM5aWmsImMglhPit/+8gH0O7DsVa8Phw4nlXAnW4qhSTGYNJrOEZNtD2Q5N7EH++uc/csUl5/DdK44nGslOJeE90cd78Lrz6C3OOeccvvvd79Lc3Ax0XuRasGAB3/72tzn//PN3akxJ8IQQOy3x7isk2gM6991pLArtaIZ/9zso3Xd/vSz6qIaOxiSuBQ/NIQcNwlrLHx96nObWdtAOSmmGDhrAKUcftvlxH82r4rV3V+M7hoyyTD5wAEOG7h5FMHozL7wfXuwcLrvsPV56oYEZM2awevXqLZKkp59+usv7DHWVH/zgBxhjuO+++5g2bRp608+O1ppp06Zxzz338MYbb/CTn/yEhvoPaevYiAVSRmGAAw4fyl+fu5jCHux111NCocnE49dj/XocdwRBehkmPZdU+/PZDk30QY2NjcyfP58XX3yRv//973zjuq/yyjP/4Off+gIDyoq2PYAQO+H222+nrKyM8vJyOjo6mDRpEpMmTWLMmDH85Cc/2akxd58NCkKIXqVj0Vw6apqxNoJF4SifgBAV//XfhPL7dtLy7IwlBGmfeNQj4moOPXwIK9ZuYM6iFQQGQBMKuRy4zyT23bQ8MwgMf3zwHdqDBAVuGK0VZ39RZu+6ysoVY3nx+Y3MmDGDadOmbf76x0nSAw88wOmnn878+fOZMGFCFiP9tDfffJMhQ4ZwyimnbPX2U089leHDh7Nu3ToGDx7CxvqZRKPnUBgN8cs/n8Twvfr2El83NJ5Y/ndINP8Cx+lH4Ndg257GcYfihkdnOzyxmzHG8NSTTzJ/3kdUVW5AKYXWDmvXrsZPtjK4vICivCh5OSEOHFbIhBNO2PagosvtSXvwotEo9957LzfffDMLFy6kra2Nvffem9Gjd/73myR4Qoid0vzPe1AoQl6KtO8RWI9h1/83sUGDtv3g3disd9azYXULfjogJzfEflP6E8vxeObRd2luS4DSKAXFhYVcctbJm5dn/vnht1hXU0PCJEgSYdrx4ygrkw37XeWKK65k8ODBn5skDR48mC996Uu8++67PRzd5/N9nzFjxmyeuftPWmv22msvampqGDNmNB/MauaL0yfy1Wv3nNYBXng85H2FVMu94CdQof4km/9ETultnUWdhNgOH3zwPt//zn8xeVQp40cOYPK+nRUxrbXkHTyVvPjuUWRK9E0VFRXkb7pAXlhYuEtjSYInhNhhmaZ6aKomEjFkMh46HFBy+nF9Prlrb03x+N/m4zhgjSUScTnh9M5N9+98tARjwOKgtGbvsWM4ZP99AFi5rprfPfgCA8tLCHSSeD6c/4XduxBGbzN79myOPvroz02SxowZwyuv9L5m6IMGDWLRokUYY7YavzGGpUuXMnHiRF555RW+dNl5e1Ry9zEvMoUgvRbfvg74RAu/Lsmd2C719fX8zw3fpr1hPd/70jEU5MnFtd5uT+qD5/s+t956K3feeSf19fUAFBcX87WvfY3vfve7n6quuT0kwRNC7LDUzBl4bhodDtAqINQ/SXhA3+8N9NCfZ5PsSON4Lo6Go08cQV5+GIAlq6pBeWjtoDWce8qxQOeV4d8+8CytHU0kUlG8iOHqSw4m3EvaIvQVQRCwePHiz02SlixZQhAEW3l0dv3whz/k7LPP5qmnntpieenHnnzySVauXMngwYNZu3Yt06dfkoUoe4dw7lk4bj/c6MGS3Int8vZbb/I/13+Dq885lHEj5cKa6H2+8pWv8NRTT/HTn/6UKVOmAPDee+/xwx/+kPXr1/OHP/xhh8eUdxhCiB1mVn2IG8pA2KIjPtFh7ei8XVtO0NvNemsdi2ZX4oVdlA3Ya3wJR540AuhMHmoa2joTPGWJRkIcMKlz793L78zl3bmLiUUVTa1NTDvqAKbuMyybp9InRSIR1q5d+7lJ0tq1a4lGe98SrC984QsMHjyYCy64gAceeIBTTz0VrTXGGJ588kmmT5/OoYceyve//33OPffcXreHsCcppfFih2Y7DLEb+b+77uS/Lz2Wwf13rty8yI49aQ/egw8+yL/+9S+OOeaYzV+bOHEiFRUVnHHGGTuV4MnlLyHEDvOCtYTyEngFKbwBKWy5xuaPynZY3SaVzPDKk4sIhTWuq/A8h4uu3g+tO/9AfDB/FYmURjtRlBMlFsulYmA51loeevoVauvriEY0nme4brps2O8OX/3qV9Fac/HFFzNjxgyMMUBn8j1jxgwuueQStNZce+21WY506+bMmUNhYSGnn346FRUVHH/88VRUVHD66afj+z4zZ87kuOOO4+677852qELsVq646hqefmNBtsMQ4jMVFhZu7nv670pLSzfvydtRkuAJIXaIn2rBzWvCLUniFGWwAzVB//3Rbt/d0/DOyytItKUJhzQ28Dnq5FEUl35yvk+9PB+TcdE6iqOjDCgtx3Vd3v1oIes2VtLc2oSjDZeccThF+fEsnknf9Ytf/ALHcUgkEpx++umMGjWKk046iVGjRnH66aeTSCRwHIfbbrst26FuVVFREWvXruWxxx4jPz+fd955h7q6OgYPHsw555zDvHnzeOSRR3rlDKQQvdmhhx7Gio0ttHcksx2K2AF7Uh+8W2+9leuuu45ly5Zt/tqyZcv41re+xa233rpTY8oSTSHEDrFr7sWWgQ0pwGLKHNyCw7b5uN2VMZb5769HK0sm41NSFufwE0duvr2uoY2XZq5A6zBuoHA9xehhnc2mH332NVrb20ink8RjHpeeeWy2TmOPsHDhQsaPHw9AbW0tiUSCtra2LW7v7c4880zOPPPMbIchRJ+hlOLr376BP9/za752wTGfWYhJiGz57ne/S319PWPGjCE3NxelFC0tLYTDYZYuXcr3v//9zfddu3btdo0pCZ4QYrtZa8n4L6HKQ1hHo9sCTFk5XmTfbIfWbVYtqaGjJYnxA7SGg44Zvrn1AcA/n5lPR5vFsRGU9siLekwYVUFDUwvvz11AoiNBxNMcOWUSsWgki2fS940cOZJUKsUNN9zAb3/7W2prawmHw1x//fW9duZOCNH9TjjhRFYsX8Z/3f4AP/vmWYQ8efvb29lNR3eO31v8+Mc/7vIx5X+4EGK7JZr+hJ/jo+IxVEeGIMdDR4bjOJ9eO95XLJ9biQ0Mrgsh7TL5kIrNt6UzAS+/uoZkG7hEQBv6lxSwz9gK7vvXM1hrSGVS5MajnHXC4dk7iT3MbbfdJgmdEGIzpRRf/dp1DB8+gt/f/1uuvfCYbT9IiB4yffr0Lh9TEjwhxHbxM2tIp59FhVyMAm0t6YI4hTlfy3Zo3Wrt0hq0tljfMnRUEZ7nbL7tww820lYbQMYhrKI4nmVgaTEH7l3Bj37z//BcF9/PMGXSeMYMH5rFsxBCCHHSyadw/713885Hy5m698htP0BkjbEKY7uv0mV3jr0zfN9nyZIl1NbWbi4S9rGjjz56h8eTBE8IsU3GtNHS+j9oBwJXo9OGTF6EaPRCHCcv2+F1m/aWFC2NHQSZAKUVFaNLt7h94dxaEo0ZwiaCo1xyYg77jBnC27PmUFldzeD+/dEKzjrhiCydgRBCiH/3x7/cw7e+cS31TXM55YhJ2Q5HCF588UUuueQSqqqqPnWbUmqn+rfKTlMhxOcypoPGtq+BkyHwHLSFIOKgYqOJeadkO7xutWpBDelkBs9zsIFl+Lh+W9y+YlE9ZCxRPOIqRnm8kCMOHMnfnniGeDRKEPj0Kynk1KMOydIZCCGE+HexWIzf/u4PvD5rRbZDEZ/D9sDRW3zlK1/hrLPOorKyEmPMFsfOJHcgM3hCiM+R8etoSnwdpTJgQQF+2MV4BRS739+i2EhftGpBDSFPY42hbGAepf0/ma1sa03RUtdBSOnOJauOoigWI6PqmL94GQX5uSSSKS44/UQ8z8viWQghhPh3juOgXfm9LHqH6upqvvnNb261F97Okhk8IcRWpfwVNAbfxDoGhcJqsAqsE6Mo9BMcp29XhKxa10h9ZQtKWUJhzYgJW87erVnRSLotSVhbwhpirsOwQbnc++gT5MZz0EoTj8X44rQTs3QGQgghPovnRfB3cnZEdD9ru//oLS644AKeffbZLh1zh2bwbr31Vh555BGWLl1Kbm4uJ554Ij//+c8pLf1kX8rSpUu56qqreOeddygvL+fGG2/k8ssv33z7xo0bmT59OgsXLuRLX/oSN998MwCrV69m2LBhVFRUsGTJEkKhENC56dDzPF555RWOPPLILjhlIcS2JDKv0pr5I2gDrsZYizJgtEtB6GZcXZLtELvdhy8uIuJptKvxwi4Tpw7b4vYNKxvwEyk8DNqBSFhR1byCFc0b8X2D1oqzTjyagvy+u0dR7DmaG5NUbmxj4eL5vPjSv6ivr6SiooKLLrqIiRMnZjs8IXZYbl4eiWSa3JxotkMRe7hf//rXnHbaaTz33HOMHz/+U6t+Ps6VdsQOzeDNnDmTb33rW3zwwQc8/vjjLFy4kPPOO2/z7ZlMhlNOOYWSkhLef/99fvCDH3DVVVfx0ksvbb7PjTfeyCGHHMKTTz7Jc889x5tvvrnFc1RVVfHHP/5xh09ECNE1WpJ/pC39BxQG5RswButowKEg8hM8d3C2Q+x2jTXN1K6uxXEsDoaKUaUUlsa3uM/G1Q24uvP2sGfJzVXM3TCXVNonkc6Ql5vL5eecnqUzEKLrGGN5/dkFTL/ki3zh7KN45pkZtLS08MgjjzBp0iTOO+88EolEtsMUYoco1dnbVYhsu+OOO3j++edZtmwZb7/9Nm+88cbmY+bMmTs15g7N4D399NNbfP6rX/2Kgw8+mObmZvLz83nmmWdYt24ds2bNIjc3lwkTJvDaa6/xv//7vxxzTGfPkaamJk488UQmTpzIgAEDaGpq2mLMa665hp/85CdcfvnlRKNyVUWInmKtoSFzK36wAI0FY0FrVMagA5e8+C14bkW2w+wRC95YCn4GT1m0AweeMHaL25OJDKsXVuJpg+cEKKWoTK4hqdJkEhkioRBnnXgMebnxz3gGIXYfaxdXcsut32TJ2rnMmDGDU045Ba01xhieeuopLrnkEi699FIeeuihbIcqxHbbf8pU3p83j2MOGp/tUMRWmM7LzN06fm9x2223cffdd3PJJZd02Zi7tAevrq6OSCRCTk4OAO+99x4HHHAAubm5m+9zzDHH8O67727+/Prrr+eaa64hEomQSqU44YQTthjzyiuvJBwOc+edd+5KaEKIHWBMinr/B/gsAld1VpdSCvwAJ8gjL+dmPHd4tsPsEalEig2L1uFoi+fCsHHlFJZtucxywXurSbYlsEGakGPxHMuSxpV44RDJTEBZaQkXnS5770Tf8PzjL/P+/De4//77mDZtGlp3vnXQWjNt2jTuueceHn74YebPn5/lSIXYfpdMv5zXZq3MdhhCEI1GmTp1apeOudMJXiqV4uabb2b69Om4budEYE1NDWVlZVvcr7S0lNra2s2fT5kyhY0bN7Jx40aefvrpzY/9mOd53HTTTdx22220trbubHhCiO0UmDbq/RsI7OrOJZlag1bgGzxbTl78BjxvRLbD7DGLZy7GpjN4DjjaMHrKlnvvrLV8+MpSNAHaBoRdS8JtoymdIBSJ4huHc08+llBIKrSJ3Z+1lhlP/5OKoRWccsrW26KceuqpDB8+nPvuu6+HoxNi5+Xn55NbWM6iFRuyHYrYCks3F1nJ9gn+m+985zvcdtttZDKZLhtzp9okBEHARRddBMDtt9+++evbu5bZ87xPJYL/7uKLL+a2227jjjvu4Hvf+952x1VVVSXLOndCMpncanNF0fN6/LVQq3Giv8OG0uiMwYRdVNrHTfhYikgFF5BMxIE94/9HJplh4cxFZDI+CogXRvEKnC1ekxVzK6lcVUs6kUIrCxhqgkaUdgks5MfzOWSfveRnqovJ76nsqN/QRH1jLWPGjNk8c/eftNaMGjWK1atXy2uUJfLzsXN+8rPbeXPm6zjlA3Acp0vG1NFCQgMO6JKxuoJJprIdgtiGf/zjH8ydO5fHH3+cUaNGfarIyuuvv77DY+5wgmeM4dJLL2Xx4sW89tprxOOf7DEpLy9n8eLFW9y/trZ2iyqb28NxHH70ox9x5ZVXcs0112z34/r16ycJ3k6oqqqiX79+276j6HY99VpYG9DR8Fv89Kv41kG1GfzcMG5HGp3wccglVvw/uKGKbo+lN3n7sXfBKEKhEFpphu0/jP79+2++3QSG5977EG0tBAGutiitqUslUV4IrcMcMWUMwyuGZvEs+ib5PZUdy9+vJRopZPHiuRhjtprkGWNYtmwZZ599trxGWSI/Hztv0KDB3PLjH/E/V57cJeOFBhxAeuP7XTJWV0inum5WqCeZTUd3jt9bHHvssRx77LFdOuYOJXjWWq644greeecd3njjDYqKira4fcqUKfy///f/aGtr25z4vfzyyxx44IE7HNg555zDT3/6U2677bYdfqwQYuuMCfArHyDT+DA2YiHm4TX7ZAqjhJqSqGSAp4cRGXAz2tmzyvuvXbSe5R+uxtEKrTT5/QsYMLb/FvdZ/P5qWuta8BMpHG1xABtVtDdZXDeKUiGm7jMmOycgRDeYN6ua0RVH8MqHM3jqqaeYNm3ap+7z5JNPsnLlSi6++OIsRCjErjn0sMN5+ql9eePDJRy23+hshyP2QDfddFOXj7lDe/CuvvpqnnjiCR544AGg84pRVVUVwaZGkSeeeCIDBw7k8ssvZ8GCBfzlL3/hwQcf5Nprr93hwJRS3HLLLdx11107/FghxJasDUit+T8yH5yIqbwXJ5MCLE5zCht28Wrb8RrTxHIuIjrojj0uuQN4d8ZsjLEoR6NDDpNP3AeltqyytezDVaQ7kljj42JwXUW94xML5xCLxPGcCAftMypLZyBE17LWsnhZK3kFoxg/8jAuvvgSZsyYgTGd176NMcyYMYPp06dz7rnnMmHChCxHLMTO+cFNN/OPFz4i40vj897CWtXtR2/S1tbG3/72N3784x9v7jCwaNEiampqdmq8HZrB+8Mf/gDwqRm5VatWUVFRQSgU4qmnnuKqq65iv/32o7y8nN/97nebWyTsqFNPPZXJkyfz9ttv79TjhdjTWRuQXvVrqH8OnM4FD8qAdRW6zcfkeDg1SdzQKLzhP8AJ9f0G5p/lhCuO5Lk/vYrxA0buN5yyoSVb7GlpqGqmuaaJTCKNgwWtCOeEWFbbQFFhIQ2JDoYP7MeQAXvu91D0LQ31CZKOB1pz+EFfZ9mGuzn99NMZPnw4o0aNYtmyZaxcuZJzzz2Xu+++O9vhCrHTotEoX//2Dfzv/b/nm9OP+9TFPSG607x58zjuuOPIz89n5cqVXHDBBRQUFHD//fezfv167rnnnh0ec4eXaG7L6NGjefXVV3c4kIqKiq2O/9Zbb+3wWELs6ay1pDfcC1X3gzHgqM4F54pN7Q8sOjBoNZTQqO+hYxVZjjj78opzOfz8g1i7YD37HDfxU7dvWLIRk8qgbYC2Bjfk0uYoGjoUo4cW0JE2HD117FZGFmL3tKGqFeKG5kSGllafu+99gMbGtdx3332sXr2as88+m4svvlhm7kSfcMYZZ1FdWcUtv/8H37vyZBxnlzqJiV1k6d5Kl72piubXv/51rrzySm655ZYtWs2deuqpnH/++Ts15k5V0RRC9F5++1L85d9B+S2dtYCdTVcizaaPUwYVn4Q3+nvo8I4VQOrryoeWUD506zNwbXUtpNoTaNNZXMVxYXmDIRaKEdJh8nNyOeVoaZgr+o7ahjZWVzdQ19BBe3ua8vI4AwdO4LbbbpOiHqJPuuqar+CFPP710st84fj9sx2O2EN88MEH/OlPf/rU1/v37091dfVOjSmXJ4ToQ9K1D5Fe8XWwrVhL52wdgG/BKojuj3vADMKTfiXJ3Q5qq2uBTAaswdFQk1C0JTRhHSFEiNOOnUBuPJLtMIXoMpW1LSxZU0V9awuhHIvrylsG0fddfMmlfLC0jtmL1mQ7lD2atZ3Xpbvr2M7Obj0iPz9/q21OZs2axcCBA3dqTPltLUQfkW58hEz9veBZrAIc1flvxqLyDye0/5OEx/0Mx4tvayixFUHGhyBAY9HA4rowUdfDxSM3GuXic/fNdohCdKlIRDFsWA79B4YpKpEFP2LP4HkeDz/6OPc9NYvG5vZshyP6sNdff51MJsOll17K17/+dRYuXIhSiubmZp566im+8Y1vcOWVV+7U2PIbW4g+wE8tI9VwP9oF6ysIOZAKUG45zoTf4oYLsh3ibs9kfJS1OBjWtEawgcZRDkWxMMcfPYK83HC2QxSiS0UiLsUlEVLpDIHpTV2jhOhesViMX/zyTn5647f4/lWnZDucPZJFYem+YjfdOfb2Ouqoo6isrORHP/oRSikOOOAAEokE+++/P6FQiK9+9at85zvf2amxZQZPiN2ctZaOuv8HboDRCutqrFJQdByRvR+Q5K6LBMkUygQkM5Z1zWEKI5ZUwjBpfCknnyytEUTfEw5rlq6upK65hfZEgpa2RLZDEqLH7LPPPgyoGMsH81dmOxTRR31cXFJrzc0330xDQwPz58/n7bffpqamhttvv32nx5YZPCF2c5nEe2ArsVoDBpRChccTHXx9tkPrM4xvyLQn0dZQ1R5B685JUseHcy8cJ3uTRJ/UrzSPddW1AHiuw4q1NUweNzTLUQnRc2659TZOPfFo9qroT148mu1w9igf75XrzvF7g39vyREOhxk3blyXjCsJnhC7uWTiMYznQGBAabTSRAbcku2w+pTmqgYcV9GaMLQkXeKeQSmHqQeUMHZCWbbDE6JbDB9cwkGTK1i1vpaNNU0sWVkpCZ7Yo8TjcX515++5/htXc+vXzyQc8rIdkuhjzjzzTEKh0Ofe5+WXX97hcSXBE2I3Fy/8CanEM6Q6HgWbIJT7dRxH9oN1pdbqRpzAp77DBWXJcQPSSnPmBV1zpU2I3ignFqG4II+wE2NA0QBmz6/m/FOzHZUQPWuffSbz3Rt/yo9++gNuvGYakbAkeT1hT+mDN2XKFHJycrp8XEnwhNjNae0SzZlGNGca1gYo5WQ7pD4nlh8j4SsSgcLThpCrGDIgxMh9hmQ7NCG6Vb/CUh5+czZ7VfSjpiqV7XCEyIqjjj4apRTfufEGvn/VSZQU5mU7JNFHfOc736GsrOtXAsnGESH6EEnuukfj8vWsWNaIspawawi5lkOOqUA78itU9G0nHTmRXK+QFcvbeP/DjSxfVZ/tkITIiiOPOorf//Vv3Pz75/hIeuR1O2vBWtWNR7bPcMv9d11N3p0IIcQ2rF1WRdq3WAsx11CSC2MOG5vtsITodgfsPYgDJgzhgNEVhNJRXntV3tiKPdfIkSOZ8fQLPDermnv/NZPHX/qQ1napLit2ju3GLFMSPCGE+BxBYJj/wQbA4jmGiBswbkw+xYNKsh2aEN0uNx4m5oapqmxn/4kDWDa/IdshCZFVubm53HP/gxxw3PmMOvA0vvebGdQ2tGQ7rD7H9MCRbcaYblmeCbIHTwghPte7j39AkExhrCLuBRRFLaMOleIqYs9xxiljWPhuHUs+qqe8PMb6tc24n1/0TYg+TWvNueeeB0AmnWHu4pc45uCJWY5KiE/IDJ4QQnyG5uoW3p/xITYwhJ3O6pkDix0G7j0y26EJ0WOmHjyI/SeXMX5EPsm6Dt56aXW2QxKi14jl5JDM+NkOo8/p3IPXvUdfJgmeEEJshZ/xeev+t3EyKdJGEXV8SiM+pSP6EyvKzXZ4QvSY3Nww8ZhLOpFh8v6lrF9em+2QhOg19tlnH158ZykZP8h2KEJsJgmeEEL8B2stM+97nXRzB5l0QNQxxFxDQa7DXqcenO3whOhxRxw7hI7GFpbNrWTJvEqaG6SwhBAAw4cPZ6+xk6iua8p2KH2KRXX70ZdJgieEEP9h1j/fYdGLc3Ad0MoScaEsDoV7DaF45OBshydEj5t80GAm7FPKqJG50NHOsjnV2Q5JiF4jHA7z4NMf0Nzake1QhAAkwRNCiM1MYHj3768z94l3KR9eSqKhjdwcj5J8TTg/hwnnHZvtEIXIivzCGPg+jTWtjBxXSnONVA0U4mO//M1v+dJ13+Pux9/Odih9hrHdf/RlkuAJIQSQbEvwwq8eZ80Hy4kUxKlfVUVujkNpeQ4FZfmMOO5A8vpLawSx59r34MF4JknlskoWvbWmW3s4CbG7OeKII9hQ25btMIQApE2CEGIPZ61lzQfL+GjGO1iraK9vJpwXJ7ckH09niOV4FAwpY9Rx+2U7VCGyqmJMOYOGFZGTGyLVkaBuYxOlAwuzHZYQvUbF8JG0tHUQyXYgfUB3V7rs69enZAZPCLFHstayccEaXv7148x74l1SLR3Ur6qieEgZ8aIcjr7uNAYfuBc5pQWMP/NwlJZfl6J3uOiC83nskX/0+PNWjO1H47paNixcT93qOjYsqezxGITozX768ztYuaGBjxatyXYoYg8nM3hCiD1KsrWDtR8sY/2clbQ3teGnMrRWN+GGPQZOHIoXi3DQJUcTK4gTxCzFeQWEcqLZDlsIAJqamli/ZgW33HwjZ37hbJTqmUpwqdYOlj7zLmMqItDYQKOJMP+p91jx1iJO+cYpROIyZyFEQUEBhxx6ODff9DzPv/Mc00+bSllxfrbD2i0ZFKYbK11259i9gSR4Qog+zwSGjfNWsWHuKhrW1OCnMvipNO2N7QR+QP6AYuJFuQydshcjD5uw+U2zUkqSO9Gr3PmbXzJn/mJ+9atf9Vhyt/zNhaydvYKGOYtQysMCBAEdbSlCeXH+9F8PcuEPz6Kwn7yRFcJ1Xf7w57uZPXs2P7n5B+R6GYryc2htT7FiQwND+xXwzUukYJfoXpLgCSH6rEwixfI35rPqnUW01bVg/IAgE2CCAMd1iBXGyS0vZODECkYeNoFQLJztkIX4XBMmTuI3v/4Nl1x6WY883+qP1lC/sZHlby1iyMhSmlZVdvaPMpbWhg7a04qSYf24/2fPMP3GaeQV5fRIXEL0dpMnT+aRfz7Jhx9+yJrVqxg9ZiyjR4/m9JOOynZouwXZg7drJMETQvQ56USKZa/NpXLeavxkGgXECnIwQedfDOVoCgeXMmBCBYP3HYkXCWU7ZCG2yxlnfqHHnstaS0NlI2/9axalZcVUrqyloF8JdS0G4i5uBto6DK1tGRrrk7z49w846ytH9Fh8QuwO9ttvP/bbr7NI15o1aygvitPS1sGy1VWMGzmIqPz9Ed1AEjwhRJ/RWtvMijfmUb1kA5mOFJlUGusHoEA7mmhhHgMmVjB0/1Hk9SvKdrhC9GqtDe38867XyCvOoaE5w9hD9yFUUsR7d78FpCkozWXklGHUV7WQSqZZt6KeuW+tZNLBw7MduhC9UmFhIS0Zj/97fB7Dho/kgV8/xrFTx3DiYZPQUshrC3bT0Z3j92WS4AkhdluZZJq65RupWbaRqiXrSLYmUQqCjI9W4EVCOK5DvDSPIQeMYfDkEWhH/ogKsT3csMvEYyexbkkVlRsaOXqfkaxdVEUoJ0ok7jFwZDknXTKVv/74GbxohPbWNE/cN4th4/qTWyB7V4X4T3l5eTzy2IzNn8+b90XuuP3nFM1dwdR9RmUxMtHXSIInhNhtWGNpWV9N/fL1NKyuprm6iXQqAMchkwnwU2kczyUcj6K1IlYYZ+ThE+k/fmiPFaQQoq8IhT1qK1uI5MVwG5Ms+2gj7S0J8srycUMQL8whryiHg06awBtPL2bZ/GqGjO3HPb98k6/cdLTMSAixDRMnTuSOX/2Gb1z7FZ5/+0mOPXAUk8YMJR6TqrTGKoztxiqa3Th2byAJnhCiV2utbqRh2VpaVlfSsr4K6wcEVmOURmkHRytSyRROOIxXmIsNDIWDS6k4cDT9xgyWxE6IneR6DvG8KAvfX8OAYcXMfXslqTQUlcSor2ljyF6dCdwBx45m4ZxKGlsCVi6uo//gDM/9Yz4nnTcpy2cgRO9XWFjIPfc/yJo1a5jx+D/533+8TmNDHQXxEONHlDF10kjKS6RCrdgxkuAJIXoVExjqV26kZuFqWtbX0FHXjE1n8MIujquxQYATcsGCxWKBSF4OOeWF9Bs9mH7jBhPLj2f7NIToE444YyKLPliDMZaGmg58qykqz6Ot1WfqSeOBznYiZ1x+IHf96CVKyuI0VLcx88n5FJfGmHL0yCyfgRC7h6FDh3Ltdd/g2uu+AUB1dTVvvfkmv7v3z+SFA849fl+ikRBzFq/nhbcXcfbx+7LfuL67OkWqaO4aSfCEEL3KrAdepHldDSaTwWT8zn10sQh+IoHCxXFdrLXk9ishb2h/ikcNomBwWZ/9IydENg0d04/9jxlD7cYWCvoXolyXSDzCPkdW0G9wweb7FRTHOOPSfXngN2+Sm+uSSmZ49PdvY41h//1LME01mIYqTFszKtmA7WhB5+VB0zpULA9lWlChGLq4FGIlqP4TIHcwSskyT7FnKi8v58yzzuLMs85i/vz5fOXLl2EtzHznA2bPns1RRx7BPhNG8/ULj2DEkH7ZDlf0MpLgCSF6lXi/IqoXriYUC+FGQqQ7Unhhl/wh/cgbWELxyEEUDBuAE/KyHaoQfZ5SitO+NJUZd39A2bAykh1pXFdz0MmfXv48bt+BTLtwb968/xWG5lbj2gxlz7xMzfMBsdF7EaycC4CbF4JkG97IcbB+Nqp4ILpjNTYUhTVtkDcQNXs9jDwFlT8ANfKLkuiJPdqECRP47e//wqBBgygsLASgsamZF154gbvuuIWbv3Z6liPselJFc9dIgieE6FWGThnDmrcXojUUVvSjdK9BlI2rIByPZTs0IfZIobDH2VcdxNrl9Xghh36D86murt7iPtZakgtmMbp1AYPL30FZS3U6j4gTAFC1ppHSTfdVoTA22QZ+ZtODO++D64E1qEgE2gJoX4FJrkUllqLHXY9ypYm62HNNnDhxi8+XLVvGj2/8b7596QlZikj0ZpLgCSF6lWhBnP0vPo7CoeXS0kCIXmTIyOKtft2vr6Vt5gu0v/E8AN7AIfgb11DqNX9yn/Z2grDGyS9Clw2A0iHo4lJUYQmEQmgzDGwGUhtABeBFsY0LoHQIljjBhvtwhlwlS7GF2MTzPDKB4vUPl+G5DoP6bf3nc3clVTR3jSR4Qohep3h4/2yHIITYDsmVS6n7629xi0tAazAGk+gA18OUj+C12UlM0QDmL+6gdMQAOtYnuejkYxk+ceBnjmmDNHb9q5gND0EogUkvQKWB5ndwCw7quZMToherqKjgjbc/YObMmfztvr+yasWrTB49gGMOHEP/ssJshyeyTBI8IYQQQuyw5IqlNL/wBKajjXRHG6GycmwqQfzQ44lNOQwdiXLchmb+78ZnGDihnFXzNrDXxDLuuelfnHz5IUw5Ze+tzsgpJ4QaejyU701m1c+wmRRk6jG1T2Dzp6CUk4WzFaL3cRyHI444giOOOALf93nttVf5+wP3sn7NK5x19EQO3Hv3rWIre/B2jax/EkIIIcQOMfW1VP/pTlIbN+AUdi4NcwcMpey/byV++PHoSBSAsoH5/Pf/nkV+YZRRE8pZt6iSoaPLeOGvr/H8H18mlUh/5nPoSDlO6Qlotww61oCfwNS/0iPnJ8TuxnVdjjnmWP74l3v5+2NPU+WX8a1fPMJr7y/KdmgiCyTBE0IIIcR2M+k0/usvYpMJTGsrmaYW8o45heKLrsKJfroYUjQW4pLvHs8+h49k+Ph+rF+0gYqx/Znz3EfM/PPztNY0feZzOUXHotwScAqw7csxjW9jPy7KIoTYqvz8fH5w0808/vRL+Lmjsh3OTvm4D153Hn2ZJHhCCCGE2G4trz6P2biO0JAKAHKnHkbByWd9bgEUpRQHn7YPx08/hFH7DmHDovXsNaE/695ewAd3P0vTqo1bf5x2UUVHokLlKMA2voNpfL8bzkqIvicnJ4evf/Pb2Q5DZIEkeEIIIUQv8tKLL3LmaSfz8ksvZTuUTwlaW2h++VloayW9djXh4aMoOuO87X78kHEDmXbt8Uw4ZCQtK9ZRUJ5HevVq3v3FvbSu2XqS5xQfCUEaFR4O1sVs+HsXnY0Qorf6uIpmdx59mSR4QgghRC/xtwfu4647buGb50/lL7/9KX/4v7uyHdIWOma9iQ5HNn9eOO0LKHfH6rXFC+OceO3JjDpiPLFMG34iSfmIMubf/ntaV6371P2VclBFx2A71qDiI0ClsKnqrYwshBACJMETQggheoUVK1bwt7v/jxuvOZXC/Byuv/xE7rvnz9kOazPT3kLypYcImzrcQf3Jmbw/kYoROzWW47kcdMXJDDx4Iv1GlNG+ZBk2k6Hx5ZdI19V9+v6lR2Jpw2SqsKFCTMfKXT0dIUQvZ7vx6OskwRNCCCF6gT/9/ndcfOoUtO7806yUorwozq/u+EWWI+uUePsFyKRRfppw3XIKjz9pl8ZTSjH2vOMpGl2BdjX9hhXQMecDNvzpj9hgy0IqOlwK8aFY24DNVGF9mcETQojPIgmeEEII0QusXLWCd+eupr6pdfPXbrxmGi8+8zgNDQ1ZjAxskMHWLscpKuv8fOgY3H5DdnlcrTUVZ5/E0EPHk16/FuW5RMsKaH7p6U/HEC3AeGDsRkxKZvCE6MusVd1+9GWS4AkhhBC9wN8ffoxpF13LHX97i0ef/5C2jiSVtY1gDYlEIquxBUvfRa16g1B6OZHBpdjJh3fZ2Eop+p1zDjkjhxGLa1LzP6T5xafwG7dMaq3nYj2NDedBpLTLnl8IIfoaSfCEEEKIXkApxVFHHc3jTz6HLhzOLX96iac+qOfiK77GwIEDsxpbZvazm2IER3Vgh4zu0vG151F+9jmY9lacvDziY8eQmPXG5tuttRjdggl72GgxKtSvS59fCNG7mB44+rIdK30lhBBCiG6llOLGH/4422FsZtvrcZxG1LBxBBtX4+5zQmem18VCA4eQu+9kUh+9Q3pRHf7aZcSPPAXluNigioBKVLgAnDgqVN7lzy+EEH2FJHhCCCGE+Exm9ZuohoU4gI4q3HGHQjetGI0dcDiZhR/gDRqCm5uLX7UOb+Aw/MxyVGQ4ihjWpnBCw7onACFEr2Bt59Gd4/dlskRTCCGEEJ/JNqzY/LHuNxad333LI0PDx+A6aey6RWQWvkewbikAvllLYOrwg4UYlUTp3G6LQQghdncygyeEEEKIrbI2QDU9A0MKgWLU4IO79fm06+INGoYN0ujcQvA636ZkzBxMKIlW/XHd7o1BCCF2d5LgCSGEEGLrWteCn0CRAGrRA77a7U+pPIXZsJygCpyCYgKzP9aJouhHYKpw3P7dHoMQIru6u5VBX2+TIAmeEEIIIbbKpmph4MGQaoGOWijYq9ufU4dc1MBhqGgcp3QAGbOADMvAAeUU4roTuz0GIYTYnUmCJ4QQQoit61iFbX2n8+NYEcqNdftT2srl2I5mLMDwiaRZhuMMJwg2olUcRxd3ewxCiOzq7lYGfb1NghRZEUIIIcTWOWEo2BtyhkG0+3vxBc31mJxSVP/RqKIB6NJBJO2bZPQajGcJe0d0ewz/7tFHH2XixIkUFhZSWlrKGWecwbx583o0BiFE9t16663su+++xONx+vfvz2WXXUZtbe3m2+fMmcO5557LgAEDyMnJYfLkyTzyyCNZi1cSPCGEEEJslU1VYVvnYpOrQWW6/fn81QsIKteQWbeSTG0dwYAEnl+GsjHAx9Njuj0GgIaGBgYPHsy5557L/Pnzyc3NZd9992XWrFlMmjSJM888k0Sim3pFCCE278HrzmNHzJw5k29961t88MEHPP744yxcuJDzzjtv8+2zZ89m0KBBPPTQQ8ybN4/LLruM888/n1dffbWLvzPbR5ZoCiGEEGLrQsWQMwJsAE5Otz9dYsE8bPk4dKYF5WrS+h2MvwzHd/Hc/fHckd0eA8CkSZOorq4mFovxt7/9jVNOOQWtNcYYnnrqKS688EIuvfRSHnrooR6JRwiRXU8//fQWn//qV7/i4IMPprm5mfz8fC677LItbr/uuut46qmnmDFjBkceeWQPRtpJZvCEEEIIsXUKSKyE5Bpsx4pt3n1X+E0NdMz9gNSa1SQ2NqCnTEWlGtG2EPBx9RCU6v63LY8++igbN27E933+9re/MW3aNLTufF6tNdOmTeP+++/n4YcfZv78+d0ejxB7ImO7/wBIJBJbHJnM9q1UqKurIxKJkJPz2Re+6urqKCoq6opvxw6TBE8IIYQQW6WiAyBc1jmLFy7FZJq77bmaXn+NdKQ/etAYrHbRQ9di0svQiTrCwVjC7tHd9tz/7jvf+Q7WWioqKjjllFO2ep9TTz2VwYMHc9999/VITEKI7lFcXEwsFtt8/OQnP9nmY1KpFDfffDPTp0/Hdbe+GPLRRx9l0aJFXHjhhV0d8naRJZpCCCGE2CoVH4X168HfVEygbQkUTuny50nV1NI85yNsYyOtjY0UHHsQBPPQbn+MrUTrMhynsMufd2vWrVtHTk4OY8eO3Txz95+01owZM4bq6uoeiUmIPY1FYenGPnibxq6vrycajW7++mclbB8LgoCLLroIgNtvv32r93nrrbe47LLL+NOf/sSwYcO6KOIdIwmeEELspEWLFrF06VKUUhx77LHEYt1fQl6IHhUq7ZzBc3NBa0zTe+guTvCCTIZ1d99PsrqRnJFjoLmG6MT12PQqVBq8yETC0TO69Dm3pbS0lCVLlmCM2WqSZ4xh8eLFTJ48uUfjEkJ0rWg0ukWC93mMMVx66aUsXryY1157jXg8/qn7vP/++5x88sn84he/4IILLujqcLebLNEUQoid8Oc//Z7LLjiLh/50O9+67hrmzp2b7ZCE6HJKKVTp4ZBaDomlmIZXMEG6y8Y3vs+qex6mtb4dXVBI+/KVxA8ZjE4twXFGgrVobxCON6DLnnNb4nn5JBIJVq5cyVNPPbXV+zz55JOsW7eOiy++uMfiEmJPYm33HzsWj+WKK67gnXfe4YUXXtjq3rrZs2dzwgkn8P3vf5+rrrqqi74TO0dm8IQQYiccc+wJLFuyhILCIs6+bAwHHnhgtkMSols4BQfgN72N8oow7Uuw9S8A++3yuDYIWHv/w6Rra8k0N2PjcUqm7k/esNmYdBO0NuHl7I2X/8Vdfq7ttXz1Ohp1HFO9ksMOO4xLLrmEe+65h1NPPXVzFc0nn3ySCy+8kEMOOYQJEyb0WGxCiOy5+uqreeKJJzZf9KmqqgI6Z/sdx2H+/Pkcd9xxfPGLX+Siiy7afHs0GiU/P7/H45UETwghdkJFRQU/+8Ud2Q5DiG6n8vYFNw/TNg90mKD6n6iiYUC/nR4zaG9n47330rqqkkxrOwXjRtO+vpqyqU3QshCdNwGTXowTPwjt9szeO4Db/3APOl4EjRuZNWsWkydP5vTTT2f48OHstddeLF68mNWrV5OTk8MLL7zQY3EJsacxVmF2sFfdjo6/I/7whz8AfOpi7qpVq6ioqOCRRx6hvr6eu+66i7vuumvz7dOnT+fuu+/e5Xh3lCzRFEIIIcRnUkrhDDgfXXg4uDFsajU59XdiM407NV5iyUKq/vI72hfOJxoFNydKct0Gxn7tKHR6GVgfWj7CieyPUzSti8/ms701ay5/fvhfgIX+Y0n6hpkzZ1JeXo4xhtdff53Vq1fTr18/1q5du937doQQuz9r7VaPiooKAH74wx9u9fZsJHcgCZ4QQgghtsEpPAScEPiNqPh4vMxS0ku+jt/4JnY7N7Nk1q2g4Z5fU//QX0mvXEps2FD8hgaKxg5jr29cgq69C1rmo70RKK8ct/90lHK6+cw+8fPf37P5Y+1q1KBxfOOG7zN06FAcx2HChAk89thjVFZWZq23lRB7CtsDR18mSzSFEEIIsU3u0K8ThPsRVP8dqxyUNQSrfoiJjELnT0VHxkFsCMrLwwIq0YypX4fZuIzEvI8I6mpJNacJlQ4g0wS2oYr8qVMpPf10WHMH1oSxbiG2fRl66NXoaM+VF3/vo0U89co7oBywAQAlRYX88me3ALf0WBxCCNEVJMETQgghxDYpJ4rT7xxsYgWJjEM48SaE+mM7lhKkqrD1f0aFSlDVNZAzhGDdBijYC3/1OpyisfgdrYSHjiG1ZjW5+0wlNGI8uQcdhtn4NLZ1BSTXotxcVPlJOP3P7tFz+9Gdf0FpB3A6ZyRNhod/e1uPxiCE+ERv24O3u5ElmkIIIYTYLsrJwR3xIzKhSeAWoqMjAdDhis62waFNSxed8KZ/O99mONHO68luLEzs0OMpPPNC8g45Atu6DLvoV9C6HpU7CXBwhlyOUj339mRdZS3vfbRk8+dKKUpLSjnsgH17LAYhhOhKMoMnhBBCiO2mlCaTczChipMImt9DB0kIYp23eZsSPC/S+a9JQSSOKigj5wsn4409AB3NAcCmW7Dv/wAVGYFNr4X6uTj734EKF/fo+fzx4adobkuDk9NZ4MVk+N3N1/doDEKILe1Mr7odHb8v26FLZI899hjHHHMM+fn5KKXwfX+L22fMmMHkyZOJxWIMGjSIb3zjG6RSqc23b9y4keOOO46BAwdy4403bv766tWrUUoxbNgw0ulPGqj6vo9SildffXUnT08IIYQQ3UE5UdyiI/D2uhV39HdwDvk7asRl6EN+hppwJc5pv8E96adErnuI8Kn/RXjfIz9J7kyAef9noOPQuBBl4qiRX0YX9eysmTGGf73wZmdDd6VQ2iOak8/pxx3Wo3EIIURX2qEEr6Ojg6OPPprvfOc7n7ptxYoVnH322Zx//vksWLCA++67j0cffZRbbvlkc/KNN97IIYccwpNPPslzzz3Hm2++ucUYVVVV/PGPf9zJUxFCCCFENijtoqL90QVjUAMOQZdNRvefhMrtt9XllmbefdjaeVC3HAr2hfgQ9LDzejzu196fx5JVG0DpzWX1Lj79uB6PQwixJYvq9qMv26ElmhdddBHAVmfUZs2aRSwW44YbbgBg2LBhnHvuuXzwwQeb79PU1MSJJ57IxIkTGTBgAE1NTVuMcc011/CTn/yEyy+/XPrLCCGEEH2QWf4yZs59qEguNj4U1VqJOvYPPdoS4WN/fPhZlN70VkiBUvCzb1/e43EIIURX6rJdzPvttx+JRIJHH30Uay3r1q3j2Wef5fjjj998n+uvv55rrrmGSCRCKpXihBNO2GKMK6+8knA4zJ133tlVYQkhhBCilzCVC/Ff/jmEB2MDAy1NqEN+ig4X9HgsqXSGt2YtgX+7kt+vpIh4TqzHYxFCbMnY7j/6si5L8IYPH84TTzzBlVdeSSgUYsiQIRx66KF861vf2nyfKVOmsHHjRjZu3MjTTz+N6245geh5HjfddBO33XYbra2tXRWaEEIIIbLMNFWTfvIWyBmGbasDP4w65DvoghFZieelt+dSVd+C0iFQIVAO119xTlZiEUKIrtRlVTQ3btzINddcw7e//W2mTZvGmjVruO666/j5z3/O9dd/Uo3K8zzKyso+c5yLL76Y2267jTvuuIPvfe97OxRDVVWVLO3cCclkkqqqqmyHIZDXoreR16P3kNeid9nh1yOTIvb8L1FBHKepBtw4qYrjSIVGQJZe138+/xZKdc7edf7rcurh++yW/8/k56P36G2vRSKRyHYIO8Vahe3GXnXdOXZv0GUJ3l133cXQoUM3J2WTJk2itbWVa6+9dosEb1scx+FHP/oRV155Jddcc80OxdCvXz9J8HZCVVUV/fr1y3YYAnkteht5PXoPeS16lx15PWzgk3ryNwStDahwCIIo3pipRA+7fHOC1dPSGZ9Hnp+NVmEsAdYa+pfmMXjQwKzEs6vk56P36G2vxe6a4Ild02VLNDs6OnCcLTdIa62xO9Fo4pxzzmH48OHcdtttXRWeEEIIIXqYNQHpF/6Mv+hNVLwI09qCHroP7uFXZi25A3j9/cVkfB+lNFp5ODrMleeenLV4hBBbMj1w9GU7lOA1NDQwZ84cli9fDsBHH33EnDlzaGtr4+STT+bll1/m17/+NStXruSVV17hpptu4tRTT93hoJRS3HLLLdx11107/FghhBBCZJ8NMqRf+COZD55A9xuBqVmDM2wfQsd8CeWFsxrbky8uxFFRtArzcZGVr114YlZjEkKIrrJDSzRnzJjBZZddtvnz/fffH4BXXnmFY489lr/85S/cfvvtfPe736WoqIhp06bxs5/9bKcCO/XUU5k8eTJvv/32Tj1eCCGEENlhk22knvsdwYLXcYaOJ1izEGf0QYSPno6OF2Y1tiAw/OuFubgqB6UU1lpKisPk5sgWDyF6C9mDt2t2KMG79NJLufTSSz/z9unTpzN9+vQdDqKiomKrSznfeuutHR5LCCGEENkT1K4m8+ydBDVr0APHYNYtwBl7MOHDL0IXZ3+P2/tz1mGNwlUhAjIopTjh0H2yHZYQQnSZLiuyIoQQQog9l7UWs+hF0i/+HmLF6MJyzMbFOOMOJ3TExejC/tkOEYDHn1+ATYWJqAjWWqwK+PYVx2U7rF7FJmvBpAncQsgkcHOKsx2S2MN0d6+6vt4HTxI8IYQQQuwSm2zFn/kH7MZF6LIhmPpKbADuPscTOmI6KpaX7RABMMaydHEjHiGMNRgCQm6IoQOKsh1ar2HqZmHWz4C8MbBiJiYZxR93Ls7w/bNaGEcIsf0kwRNCCCHETrNt1QTv3QOtVZBuhZZadMFQ9IiDcKecg3J6z1uNufOqWLygkRxyUSgshokTZHbqY8ZPYFY9Bh0boG4O+OVg+hEsfgNTu5bQ1C9kO0Sxx1BYuvOCQt++WNF7fusKIYQQYrdigzRm8aNQ9S6YKCq3GFWSj550Os7wqdkO71Pmzq4h7oYwviLAEKA497S9sx1W71H7DgQdoD0IHIxJYTYsxuYNxlatRw8ajztoTLajFEJsQ5f1wRNCCCHEnsVWvg2tK1HxHBTNEIniHPffvTK5A3j68eW4vkcEjxzC5BHl6COHZTusXsO2r+q89K8ykDcQhk3HEMEkk5j2SvyZfyMIgmyHKfYAH+/B686jL5MZPCGEEELsnNYlWJrAS6JKytDH/ATtRbId1VbV13YQMYY8x5DrGTxtCLmGP9/wEHkFMfY9dhx7HzV2z95nFjSDDrCegoJRuEPGQeNAgg21aK8KW5fEf/z7qEOvQJeNyHa0QojPIAmeEEIIIXaY8ZOY9oUQthC0w7Czem1y9/7TH/HSg+8yyCQYWAYZo0j5Gq0sdesaaVjfSOWyKha8sZgLfnAmSu+ZSZ7RFrwIRPJRucMwy36HCteh89dCowbThl07h/Q/b8Q561a80qGfPDbdBh3rIFmFzVRhHRelwuAWoCIDUTlDUVredortY23n0Z3j92XykyaEEEKIHde2EvwOsClQSVTJPtmOaAuplnYe++ljrFxch2/AoNAKLIrAdH78SR5nCTI+axZs4J0nZnHQ6ftlM/Ss8UZ9a/PHwYansB0bILUR5aawBQYqFdY32JZ67N+/gppwIJBGmRYIuVi/Dsx6bMjDxstQhCBQkDYoXYQqOghdcQIqFM/eSQqxB5AETwghhBA7zDYvg7ZaSNdBuBBye8eSvY71G5h937N8OLuBtoxDYDuzOAWgFGm/82NXWzKBwg8sIRcyAfhpw8J3V+2xCd7HrN8OTbOx6XpUkAYdxkZ8rDFgQWmDDjKY5W+gi8sgJx+CVshsgJAPTgHYAOu3QSYBKgKBgQ1P4K98DlV+BHrMKehowc7H2F6DbasGPw3KhXg5Krd8z15i24cYFKobK10aqaIphBBCCPEfqt5DtdVBpASKDkRrL6vhZOrrqHz0EWa9VUNT2sPiEXUNrRkXhcXSuSYrHTjUdITxjUIpcFSIkJMi5irCHiSSJqvn0RvYthWYTDPQgdUWvHzU4H7ofiNg6SPQ1vn2Gz/ANNehvBgqsRo8H9wcVNqA34olASGLCSUh3YDWBoXBrlqCv/ABbNFUnL2/iDtg1PbFlUli176LWfYsdsN7qPKxoCLYRCPWZECFULn9IW8gatiRuP2l4qfYM0mCJ4QQQogdYwOoWw55EzrXOcYGZjGUgNbXnqXq7dmsWJ4mGYRwtCKqAxLGIaQDlONSMmIgyzZkqK9M4BuDUvDxZI9vQiQDC9owfO9BWTuX3sKma8Cv7nxttdu5n65oPFqlMMmRsGIZZIBAY1t9rL8CJxqABTwNZEAnUZ7p7GX2bxuejNWgDcppQ9e+RPD4G2RMIWqfMwntcyI6p3CrMQVrP8Qufxm7YTYkayCvH7RUYpONQICyFmsUtmUFqlphFs8gHR+KHncKevAB6PzynvjWiS5iANWN++T6+mUcSfCEEEIIsUPc5hVYq6B2PkqBHn9VVuII6qtpfeo+qmetor4jB0OUuBPQ5GsijsI4Dqdefzoj9h/J6qV1LPrRixQURqmtagf1Satji8JaiOeGOPLMyVk5l97EBs0Y2wquBatQoVxoW4jBQq6Bwv7Yqo3YjAKrIRFgPHA8BclWrFEQUZ0Jn3HBN6DAxBxsnkIlDSQNJAwqJ43TXo2Z80eSb9+HKh6OHn0o7qAJkFsEjZUES16CxlXQugE8F0JFqNZ6MEnQFixYpVCuRTmbEk06sI2LCd5YSZA3EJXbH2fiaeiKA1BKuoSJvk0SPCGEEELskFDdbGjYCJEibNEIKB7f4zGk579J8sNXafxoJe3pXJTS5LlpWvww+W4Gb/hwjv/ehWin88380FHFTNx/EM2NCaw1tLWkSacCXA2epygrCXPUiSOJ5UV7/Fx6G7f/FzBNsyDTjPXbUJlq8Iaggg6sTaEmnIENXoOaVWDTaCfonG0JNk25WBflu1iTAhOgw1Fs2MF6FlyD9RVKW0CBtijP4sQDHLcD07yI4M2lBEaDclGhcOdMYqYVVVCMSjSi8EEFWEdDEIBWKOymhBJwAGvAamw6wNauR7dWEYTzMKtn4R7xZZR2svb9Fdtmreq8iNSN4/dlkuAJIYQQYofojnooGAVNK1BurEfL31sTkHntXpJz36OjsoVEOh8Hi6cyoD1yvQwDTj+JkaccusXjlFJc+LWDuPuOmRQUxwhHXTLJgLx8j7KSCBWjitj/xEk9dh69nVN6BDbTjG14F/wEyqSxQQI97Ku4RQfBqPPIvPNHWPoMBM0o18daC2hUKgMmA3klqNyBWL8aMvVYNwZODEJprA6jVAdgOpMyA7igHNC+BcdgbRrSGbCdJU9tQz3KsxgMytEoa1COi7IGG4pAkMTaTYVgFBgD1gnQBCjSsP4VrPYIglr0Ef+F9mLZ/SYL0U0kwRNCCCHEdrOpVsLrXgcsOGHUgIN67rnTCTIv/p7M/NcJ0lGSqTCethhrQPsopRlx8bmUTd13q493PYfp3zyU5QuqWfDhBuqq2yguiTBqfBkTDqzA9WRW52NOyfFYk8ZvWYJ1asCkUbmjO5M7IGhdBKyCSAgVbMrMlAKbBteDnBJUtB+2bRXQhCochdIG0s1Yrz/EIpicNCrSjqqph7YObKDpnFjZVPlU2c7P7SdfMxlQysFag4pEwSSwoRxItUEo0jkzF7SCo3DiATqpN28B1DoBOgUNH2Ce+QYc+zN0rKhHv69i+xjo1jqXsgdPCCGEEGITW7OITNFYQg7QvA7K9+6Z521rIP3qXwjmv4QNl5JpSOE5LoHxCTuWDCEGnDmN0s9I7j7mhRzGTh7A2MkDeiTu3ZlNbOhsYu+EsZlGdNnVAPgNrxC0zUblaHRpP6hT2I5aVEh1Lp20nU3OrTEQHwkmhWpcjIrlonIrQPsYEpiIRbs5mNx8VGkjqsZAVTPWz4C/aZ/cpwptbHrbbx3IpLBKQUcHqnAAeGFs2xpU6ThoXgTRfihV3VmAxVdYBcrzwW8EncG8+GXUEbej8it66DsqRM+QBE8IIYQQ281WfUSofmHnJ7FiyO3+RMk0biT9zK+x6+Zi8wZgamrRKoKjM0Q8S8aGyZ28H6VHHd7tsexJbGo9liR4MdAOKnccQdsC/NqHQYc6WyDEPHThECwFqEgO2DpwM5Bo7Oyh57mQroSIgw4PwqSasLYa4v3Q0ck4obE4oSFYXFSqHVu7BLX2I4KV8yEVgFGdve7spjkdLwRaQ6YDEwBeGF02ojPvS6zHOfpHqKGHYmvnYxb9ElobOsdRASpFZ0GWHFBOO9ZJEMz7Kc74a1GFE7L7zRZbMLabq2h249i9gSR4QgghhNh+Tevwc4fjRnNQhRVo3b0VCU3jRlJ/ux6w2FAcU1+FVQ6ulwFlcazFySuj7IsXdWsceyIVq0CXHIVN10HQhrJpgpp/oYIU1qQ799MN3hen/wXojgbsnLshbcG0gjKd7TTaayDkQs4YyCTQpVNRZUejYyM/3ZQ8ByiaiDP6bFxrMTXLsZULCWpWYpbOhFQC8vuB40JHM7TXoftPRIVjqNwi9EG3oUOd++pU2URU4a8JVvwBU/ckBHGMSaATnS0yLGALNCZYhll5F+6IL6EL9uwG96LvkARPCCGEENvNtNXgNK2CZlCDDuze56pfT+rBG9DFgwnWfAQ4aAeUNlhlUdpgnDCFV9+AdmT/XFfTkcHoyODNn/tVj2HaOwvrWL8GXTINr/QMAFROMWbqdbDhNWzdPGhcDB3rIXcoasBhqKLxqOJ9t7sgj1IKp3wUlI/CBcyxX4fmSmxzFTbZBpkEYNHlo1BFg1Fu+NNjeLk4o78FhcPJ1P0Jo8tRyUacDr9zf19gCYpCYFdhNtyJ634dN77Prn/jxC4zKFQ37sIz3brDL/skwRNCCCHEdrHJZqhZjNUexMugaHi3PZdprib9wv9h0wmC1R+BF+4siY9FKQuOxfE0oamn4BaWdlscopP1WzFt8yHTCiqMDo/CLTl9i/tox4Mhx8KQY7FBZ4sE1UWVKrXWUDiw89gBSinc8jOxeYNJdtxP4DvoZDu6I7V5CaBfGMaqZrzGP0Lom7ihkV0SsxDZIgmeEEIIIbaLbamC8n3wO5pwM62Qv2NvtreXaW0k+fRdsGYWFAyAdFVnqXxjOpO7j6ssFvUncvjZ3RKD2JJpWwR+G1gfazK4Ay799BLLf6OccGc/ul7Ci+4PXjHJ9L8IohvJ5K7GSWY62yloDY4iGa0h3fZzcuI/IhTqn+2Q92jWsrn6aXeN35dJgieEEEKI7WKbNmDXz9305kGh8ro+wQvaWmj/+23YqhW4A0ejqpdArAA6WjfdY1Ny54Xwjr0S5XhdHoP4NJtYiw06OvfV6QhOfFS2Q9phnjsMR19Oe/pRAtfie5UQpNHGYh2N1Qrfa6E5+U0iG4cQ7Xc9bqQk22ELscMkwRNCCCHE9umoR5WNJG004dyiLk+u/LY2Gv/8/7BJn7AXJbNuLU5eP3R79aaZu49p1PD98UZIUYyeYpPrOmfwUKjQ7pv0aJ1PbuRy/GAtHeZ10qlXMUELVnc2UzeORpuATGQZasXleN4phEZ9eYvZSrtp+ufzZjDFrpE+eLtGEjwhhBBCbBebbIJkM157PXhjunTsTGsbG//wW7QN4zStx+aV4IZzsI3V6FAcTALH9dEaiOYROfErXfr84vNZ0wraxzqgIv2yHc4uc50h5DkXYd0v0t7xLMn0o1i3HYVFZwJ0OgDlYxseI/NRHd7e38W2NZN460kU4A4ZA9ohNPrz+y4KkQ2S4AkhhBBi+zSugEQ1aAVFg3Z6GBMYLFC3sZmSAfmkm1pY+Ze/odMubv0GIgNGYJJNpNoDQrFB0FaH54axgYMT1oQPOA2VU9h15yW2KTTixs7WCH4Tlr6zLFYph3jOKcRzTiG55l+0OQ+hdIBOGXTKRyV9qH+FTEsH6eoSTHsrprWRzPJ5qKKBgCI0enK2T6PPkT54u0YSPCGEEEJsH8dD9Z9IJp0hvAsFVtqaE8x9exVLP1xL49oqBrht9A93ENNJcsuGU9fcQXsin5a2HGxVgr1yc4mGk3iuIVyYh3egFFbJBqVDECrrswXmI0PPQL1cR0K9jy3dgG7z0Q0+pt3BVs7CtHiYFhdrILAOtHdgcSTBE72OJHhCCCGE2D4dddBahZdoRI05fqeGSCYyvPjIR6xbVsP6lfWU5Cm84jheQR4bqtvIVMKK9RFC+DRnYuS6MepTMaaWVBF2FQWnfAXlyNsX0T28fU/Dn7ESM7edTEkK2wZkHGwywCY7e7MZq8FYTHM9mdCGbIcsxKfIb0ghhBBCbJP1U1C3sPMTrSBWtFPjhEIObiTMimXNtDQFhMJRwnlhlqyqo1XF2LAxgQpctHKwQEM6xOi8FtqCHHLGTyI8anzXnZQQ/0EXlBHa72TSM/+GWduOcRIAmLQG38UY3dlawSqsAdNQg7VWCq50MYNF0X3rKE03jt0b6GwHIIQQQojezyaboWQ0lI7DLxi50wmedjSJhM/Qsf0ItMeq9Rmigwcx5ZJjWbshhRMJ41vVeRiNbxQb0vk4Q0fR7+xzu/ishPg0b/yheJOPxSnrj8l4mKSH8T066zpaTKDBKpSyaBtg2lu3NaQQPUoSPCGEEEJsm58CNwrGR2XaOz/eSQcfvxez3t5APC9M/4oCnnupmiHjBzH+0L1oaPQJtEsmUKSNJhlolrfkMPCS83Ei4S48ISE+m3fAmYQmH4POj2KMAhRKW7ywj8XCx/NLWuNXrslusH2Q6YGjL5METwghhBDbpEwGNn4EtctwWytBOzs91uBhhVz01QNJJA3rVjbhhTQzHpjL3gdXMGb/IXRkPJKBs6nSnSaVtvz2O09s7j8mRHdTSuHu+wV0UTGBUaANyjHgBETy21E62HRHh8ya5dkNVoj/IAmeEEIIIbbJhnKhYChE8rEoSLfv0njHnTGGQRUFTJhcxuoltbz90gqCAApK4uQX5xDJj2OM6kzyFNRtbOL3Nz3dNScjxHaKnH0HqmgoJtAoJ0B7AdoxhHI6wFqwPqZ+fbbD7HOM7f6jL5METwghhBDbFs6FeDkUDsPPG4ptq9ml4VzP4Sv/cxirltYxalwJJp3m7797h8NOHs2AoQUEgcWNhjYthOt8N7bwvTW8+9LiLjgZIbaPCkXx9ppCJuNilUG7PmBRyuJ4GbRNotNNmNaGbIcqxGaS4AkhhBBim7QXwTauwTat78y3mna9PPyAIflcd+NRrF1SQ1FpDpl0wMP/9w5nXzmFEWNKcTwPNrVEsIBB8cD/e5V0KvO541prqZq9lMaVG6mauwLjB7scq9hzhYaPw4soCHxQoB2DdgJCkRRuKIW27dimqmyH2acE2G4/+jJJ8IQQQgixXdSgA6GtHqdpDaaua/YdTT5kKOdeNYXaqlaKynJYt7yBlx5fyPlfO5iho0opGlCAbxSBUfg+pFKWe25/9XPHXPfKB6x4/GXm3fcMDWuqaFhT3SWxij2DtQbTWoWpW0Cw5mmo/QderBUdtdiAziTPC3A8Hy9icHJcCBLZDluIzaQPnhBCCCG2i+o3DtuwAtuwErXuTUyqHR3O2eVxTzhnEvXVbbzyxCJGju/H608upv/gAi69/gh+d9PzxIvitNS3Y61CKZj95pZVC9sq67DWoj0Xv62DNU+/RhBkSDSnyLQ0kepIUzJiwC7HKfomay1BXRX+io9QTWtQHetRNIOTQgX1aJUhPCSARIBNAhkFqnNPHiFwcsOoaCzbp9GnWGy39qqzfXwGTxI8IYQQQmwXVT4OtehRTOlg3KAJVTMLBh+2y+NqR3POlw+kcl0z61c1MmBYMQ/94T0mTBnE1245gf+98QUa6xPYTdvxMomAuupWSspzaVq+ljUvvYcOhykYM5yqt2YzfMRK2ja0EOuXpLGmgPT6Vqo+eJz8/Evxwg42FsMtHoZSspBpT2UyGVIrl5JeuRi/chXpxXMI9y8HPwntjYTC7bi5ATqSRIXTKM92vmsOK5RnNzU315BbjIrGUYWDs31KQmwmCZ4QQgghtovKH4xS7SjtQl45tmUxil1P8ADCUY/zrpnKzV+ZQTTPUlSex92/fJvv/epkTjhvb37z/c5lltaCRfHPe2Zx+dcPYsMr71H7/jwCNDULVzPg6PV44UpK42mCOodYcZKS6Dxa6/NQ7T+B1R7emP7khy7DyZvQJbGL3UOmpZX2BfPJbFxLx8K52IZqQuXl+LVVQAjqWrDpJCHPYF2DSWVQyqA8OpdmBoDu/P+HdVCxQiiuQA07FBWKZ/ns+hbzb8WVum/8vksSPCGEEEJsF6UUDJ6Eu+4FrPIgveuFVv7dkBHFnHjeJB7962yGjiqmtTXNglmV7HvIUAaOLGHt0vrNb/s+eGExJx8Qoe79j8gpysPGKhn4hZWEhmTItMUIPA8b8mlank/gaYx1afXysTFD0YAObLQQazMo5XXpOYjulU6kaVhbQ8Pqajrqmkg1tRK0tmKTKayfQWHxIh7h3Bjx8kLCEQ/b3kpq43qSK1cSKcpDEWCam9A6jK1rBKNwtCVIpdFKY6winYzgWYvCYlEo16C0wSoXZR2IFqDKJqJHHo8edEC2vy1CbEESPCGEEEJsN1W+H6bmGfCrIBPCpJvRofwuG//k8yYy6+31rFhUR35RlBefXMr4fftz2oWT+c2NLxFxfDxtSWY0D/3ubY4/OEzJ6Pf4/+3de3RU5b3/8fe+zC2TEAIJuQAhgAIiFCMXRRFEeqqnau06a1lbCxV6EGotR2t7eq+orbb9tVZ7dJ121UvFHpdHq7Za6ZFqQaMiChooWoGiXIUYLknIdS57P78/AlNTEAjJMJPx82LNgtmXZ57ZD3ue+c53P88OjvLwC108bNqbI3ihMC3NQRKhIPW7Sykds4/WbWGCbhJMPjhB4MRv1i4nRyKW5L2Nu9iwciMNO/dy4P1GEgdaCDsG1wHHeIRsn4Dl41jgWD6WBVhQDwQdQ8jxsL04thXE39+KayexcbBJ4iU8HNvGNwZjHCzbI54MYiUDdMRDOK1JgoEEdjSEcRys9iZCI8YQGDMFe+ws7LyiTB+inKQMXs8owBMREZHjV3Q6Xr8S7OQ+DA3Ybe9A8MxeKz4vGmTqBSNwQ0H+9td6nn/mXaZMH8bkaZWcMz5I444mGmIurrEpGbqNASM2UzA0QSIUJu7ZJFoDkIDmtXm0bQ6TbLcxIUPdk/3xCVL5qTB5ZZ/AtqIag5elknGPTbXbWPlkLc31TRzYe4CQ7WNjcGwIOeD5YOHj2BYYczAcMBgLMAaLzvDAeB6e74FtYR/cxvNtbNvH822MBZbl4fkBbAvino9rd375t2wLP68fHU0N5JWfik2Sgk9+nODoiViuMr+SvRTgiYiIyHGzIuV4kUFYfhLj7cXv2IJN7wV4ABdcOprfPbieU04rZteOZu65YzUjh+dzenIzZpBHHCgcuI8zzn6b/V4B723uh13oYBe6NO3Mp/HFAqxGF2PANzYm5uIFwvQbVsHwabOxbAV22ahu237+8rs3eHf9Thrqmwk7BgufoAO+AazOnKtvwD+4jzEGY1n/mBXRcDDIozOTx8E8kOn8O+k7uJZH0rfwTQDHNiR8H8fycUIB/FgCd2glsW3biI6owm9ppv8ls8gbdwbB0vKTfEQ+ujx8TKqVe5+fxrKzgQI8EREROW6WZZHMK8Wx4pikjZ/c0uuvEc0Pcu23p3HrN5ZTUhYlFvd46MYnmBKKgwNBDE5bkO07BxDtH6e0vJG/765g3e+qoCFMYSBO1EngWBAIuuC6BIoKOPMrVyi4yzKtBzp45Zm3eeWZv7HnvUYALAyObeEZg9OZoMMzFrZlYYyP51tgGyxjd2btfAg6YAddLONjvDi2AduCpLHxsDD4JI2HbdkY2yIJWMbHLSyko6GJ/KEVtO3aTSgcxI4WMvBfP0nBhAmEKgZ3jj0V6UMU4ImIiEi3eKEB+E4TEMFzY2l5jcnThnL53I+x7MlN2LbFaHsHruVjWx6OnWRg8S6K8g6w40ARj62YSP2egRQEkhQEPLAC+LZLxAXHgWjZQCZ8+bO4kVBa6irdE48lWfvSOzz7u7+yr66JWFscq3Mqk85JTQ4FdX7nLTSSxscykPAhEAliBywSbR2UDBuIa1t4be0UDSqgoLgAx/gkWtrw29vxEgks38cYHyseJ9bQRKQgQqh8AAfe2UZeUQEU9sNJ+uSPGUXJzHPpN3Y0wf79M32IPvI6M2zK4J0oBXgiIiLSLb5biAkGwYqAnZ6JSmzb4t9mj2Pntib27NhHU9wh3zHkuZDndhB1k+zbWsq++gGEWh0iToJ2z8V1wTUWcc8jL8+ieOIYxs2+GCeorzyZlIgnWbdyK6/8eSNvvraDzpxY58g5x+4M6Cyrc4lFZ/bOsixiSUPJoAIMPkOGDWDE+CH0Ly2gZMhACooLiPSLHDXDZnyftr2NtO1ppLVuLyTiBCIhSiaNJ7+ihFDJAMLFA5Slk5yiTzsRERHpFuPk4dltWHYY7HjaXieaH+T670/jl7euIH+PC75PxO3AMj7t+/sTsAzDCloJBx3eabVoikcJBRyK+rlUnT6YodPPZMCY4fryniHNje28XvMuL/zxb+zZ1US8I5laZzDYANah4M46ePNw8AwUFkUpLI4ybtJQxk4ZRuXoUhy3+z8mWLZNdNAAooMGUHL6iN57c5JWyuD1jAI8ERER6RbfiZJ0dh+8qC6K7yex7fR8pYjkBbj+xhls+tZSvKRHxIkRdOOAT9IE2GeX8n7RqYRLIgyIBCgfWcrQ6lPoP7xcgd1J1tzUwcZ1u3h52d/ZtrGepv1tAKlsnd2lOVJ3mMPzDaGwSzKeZMK5w6kcWcIZ00dSXqlbEIicCAV4IiIi0j1WGD8YAeIY2sGKkc6vFHYoRPHMqbQ8/ywBJ47rJHAsj/dMKXvGXEJhNMiQkcVUjqvE1aWYKevXr+eOO+5g9erVAEyePJmvfvWrjB8/vsdlt7cl+Pvf6nn95R38ddV2Gve2koglD06QAocuvexMzwH8I0PnH7wc0zMQiYYYWlXEpPNPYcLUYRSX9+tx3aTvUwavZ/QpKCIiIt1i/GLy3H8DK4hFAIxzKE2TntczhvZ33sSxEwQD7Ti2j8Fl5OSxjK0uJVB5avpevA9qb29nzpw5PP744xQUFFBQUEBzczNvvvkmS5Ys4dOf/jT/8z//QyQSOa7y4nGPre808Maqnbz43Db2vd9Me2ucwMFA7tDfzgdvV8A/X3rZOel9IOCAZzjj3GF87OwqJkytpKDw+OohIsdHAZ6IiIh0jykhL9TzLNDxim99g8T23USCSSwLLNuAG8A078MdrHFV/+yKK65g2bJlAJSUlDB69Gg2btxIc3Mzruvy9NNPM3fuXB555JHUPvG4R2NjB00NHezY1sRf33iftW/Usb++jY72JMaAc/AyS9cyHwjcOm9dYFkcfG4ffG7hm4O3O/Bh5NgSThlbysfOGsaoj5V13r5C5EN4lo+x0pjBS2PZ2UBnl4iIiGS1vY/cjwF83wUSGGyc4jLyL1+E5aRnFs++av369SxdupSCggIee+wxLr74Ymzbxvd9li5dypw5c2hububRRx+lOTaF9raBxFp9/ATgg42FC9iWhUXnjcUPjWX0AZtDM112/Rs6L710XYuEB6NOL6VyRBETzq7klLGDKByQd7IPhchHlgI8ERERyVomGaNjfxx8m45ECDCEhw4i/3PfxArp0r5/dt111+H7Pr/97W+59NJLU8tt2+bSSy/lwQcf5LLLLiMYDPHaqmeoGPJvuDg42Dj84ybwh4K3Dy4wBxf4B28i7vkQyXfJLwgyZVolVaMGMGJ0CUOq+hMIKvCWE6cxeD2jAE9ERESylt/0PrGO8MHvegbfciib8x2cooGZrlpWWrVqFZWVlVx88cVHXH/JJZdQWVnJzp07SSYPHLO8D2btQgGbfoUhJk4pZ8LEcsacXszgYYU4jn2MUkTkZFKAJyIiItkrHiOWdDGH0kchS8HdUSSTScaMGYNtHznosm2b0aNHs337dhy3AIPBwz94OaaN7YDnQfGAEKVlUU49ZQATzypn2PAiKqsKOydJEUmzzgybl+byc5cCPBEREclevkUwFCOZcMhzOggEPZLN+3ALFOQdSWFhIW+//Ta+7x8xyPN9nw0bNgBQVnkWZ589mMkTBjNy+ABKS/MpKc5j4MA8XFdZOZG+SgGeiIiIZC0TiVJU1ECiNYBLksKBLXh/uRv304szXbWs9O1vf5uvfe1rLF26tMsYvEOefvppduzYwemnj+fN127NQA1Fjk1j8HpGP8+IiIhI1rL7FVPUfx8FRfspKt9DoLAZu3kV3oHdma5aVrrhhhuIRqNceeWVPPXUU/h+5xdZ3/d56qmn+PznP08wGGT16lczXFMRSRdl8ERERCRr2W4A3yoiWr4bAhZ20GC5LXDg79CvPNPVy0obN25kzJgxXHbZZQwdOpQxY8awYcMGduzYQV5eHu++++5x3+RcJBN8PNKZh/LTOL4vGyiDJyIiIlkt7lTit4ewbCBpoMPCbHk+09XKWoMHD6a5uZk77riDZDLJqlWrSCaT3HHHHbS2tjJ48OBMV1FE0kgZPBEREclqXvFY4ts2E3YbsVyDn7Rhw0qSY7fhDhyW6eplreuvv57rr78+09UQ6TaDh0ljHsoogyciIiKSOU7lWNrbBxFvCmHabPwWF68ZEn/8GSYRy3T1RESyigI8ERERyWrhoUNIuCW0Ngwk3hzC63DxYgESu3bT/vwjma6eiPQyg5/WP0azaIqIiIhkTri8HBMdSEtrP5obi0jGQiQ6AiTabdpfe5nEnrpMV1FEJGsowBMREZGsZtk20QnVeE6Elo7+tLTkk4gF6egI096UpOH3D2GMyXQ1RaSX+Hhpf+QyBXgiIiKS9QonT8Yt7I+xgsSS+bQnIni+g+8Z4u9uomn50kxXUUQkKyjAExERkaznRqP0n3oWtmNhnAC+72AMWICfSND83FL2/+Yn+O3N+I3vZbq6ItIDxnhpf+QyBXgiIiLSJxRNP59wcT8s1wUngMHGAFgWjt+AtfUVYo9cS7LmB/ixA5murohIRijAExERkT7BDoaIjhyG4xrskIsdDABgWT6BQAeR0iZsZweWvxuz9U8Zrq2InKj0zqHZ+SeXKcATERGRPiM6eRpF44YTdtsJO42EBvUnnO8RCPtYeQbb9bG8dthRgx9vznR1RUROum4FeE888QSzZs2isLAQy7JIJpNd1ieTSRYvXkxlZSWhUIhRo0bx7LPPptbv2rWLf/mXf2Hw4MHceOONqeVbt27FsiyGDx9OPB7vUp5lWTz//PMn+PZEREQklzguhN09hAfFCeYZ8gYaQkU+eSMDOBELG4OVSMKBXbD1uUxXV0ROgMFL+yOXdSvAa2tr44ILLuBb3/rWEdcvXLiQ3//+99x7771s3LiRe++9l/Ly8tT6G2+8kXPPPZenn36aZcuW8fLLL3fZv66ujnvuuecE3oaIiIh8FNjlp2LneUSKYkQGxQkF3iNvSB5O/yKsUBH4FibpYTra8Le9otsniEiP3XbbbZx55pnk5+dTXl7OvHnz2LNnT5dtNm3axMyZM4lEIlRVVXH//fdnqLbgdmfj2bNnAxwxo7Z+/XoefPBBNmzYwMiRIwGoqqrqsk1jYyMXXXQR48ePp6KigsbGxi7rr7nmGm699Va++MUvEolEulM1ERER+QiwbAcGVWG3vYNxXaxEU+cy+oGTjzENkPTBNrB/G2bvRqySMZmutoh0g4+HlcaRZN3N4L300kvccMMNTJo0iQMHDrBo0SKuuOIKli9fDkAikeDiiy/mjDPOYPXq1bz66qssXLiQYcOGMWvWrHS8haPqtSO3dOlSRo4cyaOPPsrQoUMZPXo0N998M573jwP4jW98g2uuuYZwOEwsFuPCCy/sUsbVV19NKBTi7rvv7q1qiYiISI6xhkwFDFakH9g+Jt4GThhjB8GJgmdhEklMRwx/c02mqysifdyf/vQnZs+ezZgxY5gyZQp33nknK1asoKmpCYD/+7//Y8eOHdx///2MGzeOf//3f+dzn/scd911V0bq260M3tFs3bqVLVu28Oc//5nHHnuMXbt2sXDhQgKBAN/5zncAmDJlCrt27aKhoYFBgwYdVkYgEGDx4sV8/etf50tf+pKyeCIiInIYa9A4TCAKbgiMA14cYwA7DwL5+H4bJIFEB96GFzHF4wicek6mqy0ix8ngQxpnujQHy25vb++y3HVdAoHAMfffu3cv4XCYaDQKwGuvvcbkyZMpKChIbTNr1qwPHdaWbr0W4Pm+Tzwe54EHHmDYsGEAbN++nf/6r/9KBXjQGcQdKbg7ZM6cOfzkJz/h5z//Od/97ne7VYe6ujoFhSego6ODurq6TFdDUFtkG7VH9lBbZJdsaI9oXiVu63tYdgQ72UoyFsNKtGHFfWzfxvhgjMFPtJB47h7aX3oI3DCJ0dNIVE7NaN17Wza0h3TKtrb45wBGuho4cGCX54sXL+amm2466j6xWIxbbrmFq666CtftDKXq6+sPi29KSkoOG6d3svRagFdaWkooFEoFdwCjR49m586d3SrHcRxuvvlmrr76aq655ppu7VtWVqYA7wTU1dVRVlaW6WoIaotso/bIHmqL7JIN7eE1VGM2bIVQIcRbCLoumADGyoOEj2lpAQ+sRBLXjkPSBssnL2Th5tj/pWxoD+mUbW3RVwM8Y3ww6Zvp0pjODN6+ffu6xA6HArYP43leak6Sn/3sZx8oL7smc+q1MXhnn302sVisS0C3efNmhg4d2u2yLr/8ckaMGMFPfvKT3qqeiIiI5BC7ZCy07AHLAWNDvB2wIVQEkXKwXIxvgxOERDu07oOmOkx7U6arLiJZIhKJdHkc7fJM3/eZO3cuGzZsYNmyZeTn56fWlZaWUl9f32X7PXv2UFJSkra6H023Arz9+/ezdu1aNm/eDMC6detYu3YtLS0tXHjhhZx22mlcffXVvPXWWzz33HP86Ec/YsGCBd2ulGVZ/OAHP+C///u/u72viIiI5D5TNBJ8A811YAUh1g7GBa8DEx6AiZRirBAm4WPcCIT6QaQf9qBTM111ETkGHy/tj+4wxjB//nxWrVrFs88+y4ABA7qsnzJlCmvWrKGlpSW1bPny5Zx11lm9cjy6q1sB3lNPPUV1dTVXX301AJMmTaK6upo1a9bgui5Lly7FGMPkyZOZP38+Cxcu5Gtf+9oJVeySSy6hurr6hPYVERGR3GY7AayySdDeionHMLEOMAFo3otVPh6rsBKrcChECiARg/YDWCaOXaZbJohI93zpS1/ij3/8Iw899BDQeSluXV1d6m4BF110EYMHD+aLX/wib731Fvfffz8PP/wwixYtykh9uzUGb+7cucydO/dD1w8fPpxnnnmm25Woqqo64rWrK1eu7HZZIiIi8hFRchqmfjPmQD0kWyHfwRDAGlSFHU9gkhuxIgWYRDsWBmfIqRAuzHStReQYTtYsmsfr17/+NcBhGbktW7ZQVVVFMBhk6dKlLFy4kIkTJ1JaWsovf/nLjNwDD3pxkhURERGRk8kaMALyysB3MU11kPAwSeCdlQTOvxZr82q8rWuxGneC72EXVRy8KbqIyPE7nklURo8ezfPPP5/+yhwHBXgiIiLSNxWPAhzIG4RpbsJ0tEHSYHZuxMRacUedjTvqbPz2ZkzDe1hRZe9E+gJjPDBWesvPYb02i6aIiIjIyWTnF+N7BmMsCA/EtDRhcDEJQ2zpL/ATsc7tIgU4FWOwC8szXGMRkfRTgCciIiJ9lj2kGtPWgpVXhIm1Y4yLccKYhveJPXYL3rZ1ma6iiHSTwU/7I5cpwBMREZE+y5lwKaa9BewwBPph2luxQlGsUATT1kj8mbuI/+n/YbxEpqsqInJSKMATERGRPsuOFuGO+1eMHQQnDLbVOeGKbWNH8rHyi7DyoljOh9/AWEQklyjAExERkT7NmXoFOEGwbOxwPgRDkGjFxDsg0YJ96vRMV1FEusEYL+2PXKYAT0RERPo02w0SnPlF7OIh2Pn9sQMBLNtghSzciZ/CrhiX6SqKiJw0CvBERESkz7MHVBC88CsQCEHbfqx4M27lWNzx/4plpW+6dRFJB/8kPHKXAjwRERHJCXa/YoIXfw179HnY5VU4U76Q6SqJiJx0utG5iIiI5AwrFCV4/nxMrAUrEM50dUTkBBg8II03Okdj8ERERET6FCuUn+kqiIhkhDJ4IiIiIiKSNYzxwaRvnJxJY9nZQBk8ERERERGRHKEMnoiIiIiIZA2T5pkujWbRFBERERERkb5AGTwREREREckexgOTxvtXGs2iKSIiIiIiIn2AMngiIiIiIpI1DIb0jsEzaSs7GyiDJyIiIiIikiOUwRMRERERkexh/DSPwdMsmiIiIiIiItIHKIMnIiIiIiJZw6Q5g2eUwRMREREREZG+QBk8ERERERHJIum+T53ugyciIiIiIiJ9gDJ4IiIiIiKSPTSLZo8ogyciIiIiIpIjlMETEREREZGsYfCBNM6iiTJ4IiIiIiIi0gcogyciIiIiItlDY/B6RBk8ERERERGRHKEMnoiIiIiIZA9l8HpEGTwREREREZEcoQyeiIiIiIhkDc2i2TPK4ImIiIiIiOQIZfBERERERCR7aAxejyiDJyIiIiIikiOUwRMRERERkeyhDF6PKIMnIiIiIiKSI5TBExERERGRLJLeWTTRLJoiIiIiIiLSFyiDJyIiIiIi2UNj8HpEGTwREREREZEcoQyeiIiIiIhkDZPmDJ5RBk9ERERERET6AmXwREREREQkixjSO9OlSWPZmacMnoiIiIiISI7IqQxee3t7pqvQJ7W3t+vYZQm1RXZRe2QPtUV2UXtkF7VH9si2tsimunSL8dObZMvxMXg5EeC5rktFRQUDBw7MdFVERERERLJGRUUFrpsTX/nlOOVEawcCAbZu3Uoymcx0VUREREREsobrugQCgUxXo3uUweuRnAjwoDPI63P/eUVEREREpCvjpzcGU4AnIiIiIiKSXoeGXe3aui7tr5XLl65axpjcnidURERERET6hEQicVKGXfXJS1ePkwI8ERERERGRHKH74ImIiIiIiOQIBXgiIiIiIiI5QgFeH/LEE08wa9YsCgsLsSyry/XJa9eu5TOf+QwVFRVEo1Gqq6t57LHHDivjxz/+MRUVFeTl5fGpT32Kurq6Lut/+ctfUllZydSpU3n77bcB+P3vf08oFOpys8x33nkHy7L4j//4jy77L1q0iPPPP78X33XmHe24d3R08IUvfIExY8Zg2zbf+973Dtu/qqoKy7IOezz66KMf+prnn3/+YdvfeeedqfWe57FgwQLKy8u5/PLLaWlpAeC6665j+vTpXcq67777sCyLJ554osvy8ePHc9NNN53AEclOPW2nm2666bBj/ulPf7rLNjo/uurpMb/ttts488wzyc/Pp7y8nHnz5rFnz56jvqbOje7raTuB+o7uOtoxB9i0aRMzZ84kEolQVVXF/fff32W9+o2To6ftpH5DspUCvD6kra2NCy64gG9961uHrautrWXIkCE88sgjrF+/nnnz5vHZz36W559/PrXNb37zG374wx9y9913s3LlSg4cOMAVV1yRWr99+3buuOMOHn30UebNm5f6kJk+fTqJRIJXX301tW1NTQ1DhgyhpqamSz1qamoO6yj6uqMdd8/zyM/P55vf/CYTJkw44v6rV69m9+7dqccvfvELIpEIF1100VFf9/rrr++y34IFC1LrHn74Yerq6li2bBlFRUX84he/ADrb6rXXXiMWi6W2PVJb7d+/n7feeiun2qqn7QQwZcqULsf8gQceSK3T+XG4nh7zl156iRtuuIE1a9bw5JNP8re//a3LZ9KH0bnRPT1tJ/Ud3Xe0Y55IJLj44ospLi5m9erVfP/732fhwoX85S9/SW2jfuPk6Gk7gfoNyVJG+pwVK1YYwCQSiaNu94lPfMJ89atfTT2vrq423/nOd1LP33nnHQOY2tpaY4wx69evN5MnTzatra1m9erVZtKkSaltTz/9dHPzzTenns+dO9f86Ec/MtFo1DQ0NBhjjGloaDC2bZvnnnuuF95l9jnWcZ8xY4b57ne/e8xyPv7xj5srr7zyqNscq6y77rrLLFq0yPi+b37605+ar3/968YYY+rr6w1gXnjhhdS2VVVV5s477zTV1dWpZX/4wx9MMBg0bW1tx6xvX3Oi7bR48WJz7rnnfmi5Oj8+XG+dGytXrjSAaWxs/NBtdG6cuBNtJ/UdJ+5Ix/zJJ580oVDIHDhwILVszpw55rLLLvvQctRvpNeJtpP6DclWyuDlsL179zJgwAAAYrEY69at44ILLkitHzFiBFVVValfkMaNG8dpp51Gv379uOCCC/jBD36Q2nb69OldflWqqalh1qxZTJo0iZdeegmAF198EcdxmDp16sl4e33Sjh07WL58OXPnzj3mtr/+9a8pLi7mjDPO4Pbbb8fzvNS62bNnU1NTQyAQ4Fe/+hWLFi0CoKSkhNNOOy3VVjt37mTfvn3Mnz+fjRs30tTUBHS236RJk4hEIr3/JvuwdevWUVZWxqhRo7j22mtpaGhIrdP5kX579+4lHA4TjUaPup3OjZNHfUfve+2115g8eTIFBQWpZbNmzeqSzfkg9RuZcbztpH5DspECvBz1+OOP8/bbb/P5z38egH379uH7PoMGDeqyXUlJCfX19annS5Ysoa6ujj179nS5FGT69Om88sorJBIJ3nvvPd5//32qq6uZNm1a6gPq0Id/Xl7eSXiHfdNvf/tbKioqmDVr1lG3mz17Nv/7v//LihUruPbaa7n11lu7jHvo378/tbW17Ny5k02bNlFZWZla98FO44UXXuCcc85Jjct8+eWXgc62mjFjRu+/wT7s7LPP5sEHH+TZZ5/l9ttv54UXXuCyyy7DfOBOMjo/0icWi3HLLbdw1VVXHfXGszo3Ti71Hb2vvr7+iMfzw8afqt/IjONpJ/Ubkq1y8/btH3ErV65k3rx53HvvvQwfPhygy4fNsRQXFx+2bMaMGbS1tfH666+zZcsWpk6diuu6TJs2LdWB1NTUMHPmzF55D7lqyZIlzJkzB9s++m8r8+fPT/17/PjxOI7Dddddxy233IJlWQBYlkVZWdlh+86YMYOHHnqIZDJJTU0N5513HkCq05g+fTq1tbVdfkkUunS848ePZ+zYsZxyyim8/vrrTJo0KbVO50fv8zyP2bNnA/Czn/3sqNvq3Di51Hf0vu4cU1C/kSnH007qNyRbKYOXY1avXs0nP/lJfvrTn3LllVemlhcXF2PbdpdfXAH27Nlz2C9UR1JeXs4pp5xCTU1NlwG/55xzDmvXrqW+vp433nhDA4GPYuXKlWzatOm4LrP5ZxMnTqSlpYW9e/cec9sZM2bQ0tLCG2+80aWtzjvvPGpqalK/xp577rndrsdHyciRI+nfvz9btmw55rY6P06c7/vMnTuXDRs2sGzZMvLz87u1v86N9FLf0ftKS0uPeDxLSkoO21b9RuZ0p50OUb8h2UIBXg6pra3lwgsv5Hvf+x4LFy7ssi4UCjFhwgRWrFiRWrZlyxa2bt3KWWeddVzlz5gxI/VBdOjXvX79+nHaaadx++23Y4xh2rRpvfeGcsySJUuYOnUqo0aN6va+69atIxqNHvFXwH9WUVHByJEjefzxx9m6dSuTJ08GOjvmN954g2eeeYbq6uou4wrkcNu3b6exsZGqqqrj2l7nR/cZY5g/fz6rVq3i2WefTY0Z7g6dG+mlvqP3TZkyhTVr1qRuUwCwfPnyIx5P9RuZ0512OkT9hmSNDE3uIidg3759pra21txzzz0GMGvWrDG1tbWmubnZrF+/3gwcONB8+ctfNrt37049Pjgb3X333Wfy8/PNE088YdauXWtmzpxpzjvvvON+/SVLlphoNGpCoVCXWbS+8pWvmPz8fHPmmWf26vvNFkc77sYY89Zbb5na2lozceJEM3/+fFNbW2v+/ve/dymjvb3d9O/f3/zqV786rPydO3ea0aNHm1dffdUYY8zmzZvND3/4Q/P666+bd9991zz88MOmpKTEfOMb3zjuOs+bN8/k5+ebadOmdVk+btw4k5+fb2644YbuHoas19N2+s///E/z4osvmi1btpjly5ebiRMnmqlTpxrP847r9T+K50dPj/mCBQtMcXGxefXVV7t8biWTSWOMzo3e0tN2Ut/RfUc75rFYzIwcOdJcfvnl5s033zT33XefCQQCh82UqH4j/XraTuo3JFspwOtDfvOb3xjgsMeKFSvM4sWLj7juqquu6lLGbbfdZsrKykw4HDaXXHKJ2b1793G//tatWw1gpk6d2mX5I488YgBz/fXX98bbzDpHO+7GGDNs2LDD1s2YMaNLGQ8//LAJh8OpqY8/aMuWLV3K2759uznvvPNM//79TTgcNmPGjDE//vGPTTweP+46P/DAAwYw3/72t7ssv+aaawxg/vCHP3TnEPQJPW2nz3zmM6asrMwEAgEzbNgws2DBAlNfX3/cr/9RPD96esyPtC9gtmzZYozRudFbeuMzTH1H9xzrmG/YsMHMmDHDhEIhU1lZae69997DylC/kX49bSf1G5KtLGO6OdpXREREREREspLG4ImIiIiIiOQIBXgiIiIiIiI5QgGeiIiIiIhIjlCAJyIiIiIikiMU4ImIiIiIiOQIBXgiIiIiIiI5QgGeiIiIiIhIjlCAJyIiIiIikiMU4ImIiIiIiOQIBXgiIiIiIiI5QgGeiIiIiIhIjvj/KjwK3PlO6jEAAAAASUVORK5CYII=",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -192,27 +217,134 @@
}
],
"source": [
- "fig, ax = plt.subplots(1, 1, figsize=(5, 3))\n",
- "\n",
- "for i in range(len(ds.lon)):\n",
- " last_non_nan_index = np.max(np.where(~np.isnan(ds.lon[i, :])))\n",
- " ax.plot(ds.lon[i, 0], ds.lon[i, last_non_nan_index], \"o\")\n",
- "ax.set_xlabel(\"Initial longitude [degrees E]\")\n",
- "ax.set_ylabel(\"Final longitude [degrees E]\")\n",
- "plt.show()"
+ "PLOT_VARIABLE = \"temperature\"\n",
+ "\n",
+ "# fig\n",
+ "fig = plt.figure(figsize=(10, 6), dpi=96)\n",
+ "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n",
+ "\n",
+ "# plot trajectory colored by temperature / salinity\n",
+ "for i, traj in enumerate(drifter_ds[\"trajectory\"]):\n",
+ " # extract trajectory data\n",
+ " lons = drifter_ds[\"lon\"][:].sel(trajectory=traj).squeeze().values\n",
+ " lats = drifter_ds[\"lat\"][:].sel(trajectory=traj).squeeze().values\n",
+ " var = drifter_ds[PLOT_VARIABLE][:].sel(trajectory=traj).squeeze().values\n",
+ "\n",
+ " # segments for LineCollection\n",
+ " points = np.array([lons, lats]).T.reshape(-1, 1, 2)\n",
+ " segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
+ "\n",
+ " # coloured by temperature\n",
+ " lc = LineCollection(\n",
+ " segments,\n",
+ " cmap=cmo.thermal,\n",
+ " norm=mcolors.Normalize(vmin=np.nanmin(var), vmax=np.nanmax(var)),\n",
+ " array=var[:-1],\n",
+ " linewidth=2.5,\n",
+ " zorder=3,\n",
+ " transform=ccrs.PlateCarree(),\n",
+ " )\n",
+ " ax.add_collection(lc)\n",
+ "\n",
+ " # add release location\n",
+ " MARKERSIZE = 45\n",
+ " ax.scatter(\n",
+ " lons[0],\n",
+ " lats[0],\n",
+ " marker=\"o\",\n",
+ " s=MARKERSIZE,\n",
+ " color=\"white\",\n",
+ " edgecolor=\"black\",\n",
+ " zorder=4,\n",
+ " transform=ccrs.PlateCarree(),\n",
+ " label=\"Waypoint\" if i == 0 else None, # only label first for legend\n",
+ " )\n",
+ "\n",
+ "\n",
+ "# additional map features\n",
+ "latlon_buffer = 1.0 # degrees (adjust this to 'zoom' in/out in the plot)\n",
+ "ax.set_extent(\n",
+ " [\n",
+ " drifter_ds.lon.min() - latlon_buffer,\n",
+ " drifter_ds.lon.max() + latlon_buffer,\n",
+ " drifter_ds.lat.min() - latlon_buffer,\n",
+ " drifter_ds.lat.max() + latlon_buffer,\n",
+ " ],\n",
+ " crs=ccrs.PlateCarree(),\n",
+ ")\n",
+ "ax.coastlines(linewidth=0.5, color=\"black\")\n",
+ "ax.add_feature(cfeature.LAND, facecolor=\"tan\")\n",
+ "gl = ax.gridlines(\n",
+ " draw_labels=True,\n",
+ " linewidth=0.5,\n",
+ " color=\"gainsboro\",\n",
+ " alpha=1.0,\n",
+ " linestyle=\"-\",\n",
+ " zorder=0,\n",
+ ")\n",
+ "gl.top_labels = False\n",
+ "gl.right_labels = False\n",
+ "\n",
+ "# add colorbar\n",
+ "sm = plt.cm.ScalarMappable(\n",
+ " cmap=cmo.thermal,\n",
+ " norm=mcolors.Normalize(\n",
+ " vmin=float(drifter_ds.temperature.min()),\n",
+ " vmax=float(drifter_ds.temperature.max()),\n",
+ " ),\n",
+ ")\n",
+ "sm._A = []\n",
+ "cbar = plt.colorbar(sm, ax=ax, orientation=\"vertical\", label=\"Temperature (°C)\")\n",
+ "\n",
+ "ax.legend(loc=\"upper right\", fontsize=12)\n",
+ "\n",
+ "n_days = float(\n",
+ " (drifter_ds[\"time\"][0].max(skipna=True) - drifter_ds[\"time\"][0].min(skipna=True))\n",
+ " / np.timedelta64(1, \"D\")\n",
+ ")\n",
+ "plt.title(f\"[{round(n_days, 1)} day drifter lifetime]\", fontsize=12)\n",
+ "\n",
+ "plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "How do you interpret this plot? Is it what you expected? What other analyses could be interesting to do with this data?"
+ "## Case study: Interpreting drifter trajectories\n",
+ "\n",
+ "
\n",
+ "**NOTE**: This next section has no code to run and will likely look different from your own results - you will have run your own drifter simulations with different initial positions and times! This is just an example to demonstrate the kinds of drifter flow dynamics questions you can start to think about.\n",
+ "
\n",
+ "\n",
+ "The Atlantic and Indian Ocean meet around South Africa, and this is one of the most dynamic and energetic regions in the world ocean. The Agulhas retroflection is a region where the Agulhas current retroflects back into the Indian Ocean. This region is known for its strong currents and eddies, and is a region where many drifters have been deployed.\n",
+ "\n",
+ "Below is an example of a previous VirtualShip drifter experiment in the Agulhas region, showing the trajectories of 20 virtual drifters launched from a line at 31S between 31E and 32E (see red dots) on the 2 and 21 July 2023, one each day at midnight, simulated forward in time 90 days.\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "As you see, the drifters all start in the Agulhas Current (red dots at 30S) and most are initially advected southwestwards (although some first move northeastwards). At least two drifters take a path farther offshore, where their trajectories are much more eddying. When the inshore drifters reach approximately 25E, some of them start to circulate in eddies, and their tracks become even more convoluted.\n",
+ "\n",
+ "One potentially interesting analysis could be to compare the starting longitude to the final longitude. Do the drifters that start on the inshore side of the Agulhas Current have a higher chance to end up in the Atlantic Ocean (aka Agulhas leakage) than the drifters that start on the offshore side?\n",
+ "\n",
+ "\n",
+ "\n",
+ "How do you interpret this plot? Is it what you expected? \n",
+ "\n",
+ "What other analyses could be interesting to do with this data? Would it be interesting to look at the temperature or salinity that the drifters experience along their trajectories?"
]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "parcels",
+ "display_name": "ship",
"language": "python",
"name": "python3"
},
@@ -226,7 +358,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.12.3"
+ "version": "3.12.9"
}
},
"nbformat": 4,
diff --git a/docs/user-guide/tutorials/Ship_underwater_ST_plotting.ipynb b/docs/user-guide/tutorials/Ship_underwater_ST_plotting.ipynb
new file mode 100644
index 00000000..5b2559ad
--- /dev/null
+++ b/docs/user-guide/tutorials/Ship_underwater_ST_plotting.ipynb
@@ -0,0 +1,256 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "df924055",
+ "metadata": {},
+ "source": [
+ "## Underway Temperature and Salinity Plotting\n",
+ "\n",
+ "In this tutorial, we will show how to make simple along-track plots using data collected by the ship-mounted, underway temperature and salinity sensors during a VirtualShip expedition. This records temperature/salinity at regular intervals as the ship moves through the ocean.\n",
+ "\n",
+ "There are example plots embedded in this notebook, but these will ultimately be replaced by your own versions if you are working through the notebook with your own expedition output."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bd40dc7f",
+ "metadata": {},
+ "source": [
+ "### Set up\n",
+ "\n",
+ "#### Imports\n",
+ "\n",
+ "The first step is to import the Python packages required for post-processing the data and plotting. \n",
+ "\n",
+ "
\n",
+ "Tip: You may need to set the Kernel to the relevant (Conda) environment in the top right of this notebook to access the required packages! \n",
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "c7abdbb5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import xarray as xr\n",
+ "import cmocean.cm as cmo\n",
+ "import matplotlib.pyplot as plt\n",
+ "from cartopy import crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "import matplotlib.colors as mcolors\n",
+ "from matplotlib.collections import LineCollection"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a1b15998",
+ "metadata": {},
+ "source": [
+ "#### Data directory\n",
+ "\n",
+ "Next, you should set `data_dir` to be the path to your expedition results in the code block below. You should replace `\"/path/to/EXPEDITION/results/\"` with the path for your machine.\n",
+ "\n",
+ "
\n",
+ "**TIP**: You can get the path to your expedition results by navigating to the `results` folder in Terminal (using `cd`) and then using the `pwd` command. This will print your working directory which you can copy to the `data_dir` variable in this notebook. Don't forget to keep it as a string (in \"quotation\" marks)!\n",
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1dc8d2ab",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# set data dir path\n",
+ "\n",
+ "data_dir = \"/path/to/EXPEDITION/results/\" # set this to be where your expedition output data is located on your (virtual) machine"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5dd7e245",
+ "metadata": {},
+ "source": [
+ "#### Load data\n",
+ "\n",
+ "We are now ready to read in the data using the `xarray` package."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "2cd63a8f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load underway temperature and salinity data\n",
+ "\n",
+ "underway_st_ds = xr.open_dataset(f\"{data_dir}/underwater_st.zarr\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "abe917e0",
+ "metadata": {},
+ "source": [
+ "### Plotting\n",
+ "\n",
+ "
\n",
+ "**NOTE**: The plots produced next are a starting point for your analysis. You are encouraged to make further adjustments and enhancements to suit your own data and research question.\n",
+ "
\n",
+ "\n",
+ "We will now produce plot(s) of the underway temperature/salinity tracks at the sea surface. The expedition route is shown by the line on the map, with the colour map indicating the temperature/salinity value at each point along the track.\n",
+ "\n",
+ "Choose below which variable you would like to plot by setting the `PLOT_VARIABLE` variable to either `\"temperature\"` or `\"salinity\"`.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "d82ab4e8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "PLOT_VARIABLE = \"salinity\" # options: 'temperature', 'salinity'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "78d5bd8d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "VARIABLES = {\n",
+ " \"temperature\": {\n",
+ " \"cmap\": \"cmo.thermal\",\n",
+ " \"label\": \"Temperature (°C)\",\n",
+ " \"ds_name\": \"T\",\n",
+ " },\n",
+ " \"salinity\": {\n",
+ " \"cmap\": \"cmo.haline\",\n",
+ " \"label\": \"Salinity (psu)\",\n",
+ " \"ds_name\": \"S\",\n",
+ " },\n",
+ "}\n",
+ "\n",
+ "# fig\n",
+ "fig = plt.figure(figsize=(10, 6), dpi=96)\n",
+ "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n",
+ "\n",
+ "# extract trajectory data\n",
+ "lons = underway_st_ds[\"lon\"][:].sel(trajectory=0).squeeze().values\n",
+ "lats = underway_st_ds[\"lat\"][:].sel(trajectory=0).squeeze().values\n",
+ "var = (\n",
+ " underway_st_ds[VARIABLES[PLOT_VARIABLE][\"ds_name\"]][:]\n",
+ " .sel(trajectory=0)\n",
+ " .squeeze()\n",
+ " .values\n",
+ ")\n",
+ "\n",
+ "# segments for LineCollection\n",
+ "points = np.array([lons, lats]).T.reshape(-1, 1, 2)\n",
+ "segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
+ "\n",
+ "# coloured by temperature\n",
+ "LINEWIDTH = 4.0\n",
+ "lc = LineCollection(\n",
+ " segments,\n",
+ " cmap=VARIABLES[PLOT_VARIABLE][\"cmap\"],\n",
+ " norm=mcolors.Normalize(vmin=np.nanmin(var), vmax=np.nanmax(var)),\n",
+ " array=var[:-1],\n",
+ " linewidth=LINEWIDTH,\n",
+ " zorder=3,\n",
+ " transform=ccrs.PlateCarree(),\n",
+ ")\n",
+ "ax.add_collection(lc)\n",
+ "\n",
+ "# additional map features\n",
+ "latlon_buffer = 7.5 # degrees (adjust this to 'zoom' in/out in the plot)\n",
+ "ax.set_extent(\n",
+ " [\n",
+ " underway_st_ds.lon.min() - latlon_buffer,\n",
+ " underway_st_ds.lon.max() + latlon_buffer,\n",
+ " underway_st_ds.lat.min() - latlon_buffer,\n",
+ " underway_st_ds.lat.max() + latlon_buffer,\n",
+ " ],\n",
+ " crs=ccrs.PlateCarree(),\n",
+ ")\n",
+ "ax.coastlines(linewidth=0.5, color=\"black\")\n",
+ "ax.add_feature(cfeature.LAND, facecolor=\"tan\")\n",
+ "gl = ax.gridlines(\n",
+ " draw_labels=True,\n",
+ " linewidth=0.5,\n",
+ " color=\"gainsboro\",\n",
+ " alpha=1.0,\n",
+ " linestyle=\"-\",\n",
+ " zorder=0,\n",
+ ")\n",
+ "gl.top_labels = False\n",
+ "gl.right_labels = False\n",
+ "\n",
+ "# add colorbar\n",
+ "sm = plt.cm.ScalarMappable(\n",
+ " cmap=VARIABLES[PLOT_VARIABLE][\"cmap\"],\n",
+ " norm=mcolors.Normalize(\n",
+ " vmin=float(underway_st_ds[VARIABLES[PLOT_VARIABLE][\"ds_name\"]].min()),\n",
+ " vmax=float(underway_st_ds[VARIABLES[PLOT_VARIABLE][\"ds_name\"]].max()),\n",
+ " ),\n",
+ ")\n",
+ "sm._A = []\n",
+ "cbar = plt.colorbar(\n",
+ " sm, ax=ax, orientation=\"vertical\", label=VARIABLES[PLOT_VARIABLE][\"label\"]\n",
+ ")\n",
+ "\n",
+ "dates = (\n",
+ " underway_st_ds[\"time\"][:].sel(trajectory=0).squeeze().min(skipna=True).values,\n",
+ " underway_st_ds[\"time\"][:].sel(trajectory=0).squeeze().max(skipna=True).values,\n",
+ ")\n",
+ "n_days = (np.datetime64(dates[1]) - np.datetime64(dates[0])) / np.timedelta64(1, \"D\")\n",
+ "plt.title(\n",
+ " f\"{dates[0].astype('datetime64[D]')} to {dates[1].astype('datetime64[D]')} [{n_days:.1f} day(s)]\",\n",
+ " fontsize=12,\n",
+ ")\n",
+ "\n",
+ "plt.tight_layout()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "ship",
+ "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": "3.12.9"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/user-guide/tutorials/assets/initial_vs_final_drifters.png b/docs/user-guide/tutorials/assets/initial_vs_final_drifters.png
new file mode 100644
index 00000000..92976d38
Binary files /dev/null and b/docs/user-guide/tutorials/assets/initial_vs_final_drifters.png differ
diff --git a/docs/user-guide/tutorials/assets/trajan_drifters.png b/docs/user-guide/tutorials/assets/trajan_drifters.png
new file mode 100644
index 00000000..41d025b5
Binary files /dev/null and b/docs/user-guide/tutorials/assets/trajan_drifters.png differ
diff --git a/docs/user-guide/tutorials/index.md b/docs/user-guide/tutorials/index.md
index 592aba69..a235b4a4 100644
--- a/docs/user-guide/tutorials/index.md
+++ b/docs/user-guide/tutorials/index.md
@@ -3,14 +3,23 @@
```{nbgallery}
---
maxdepth: 1
-caption: Tutorials
+caption: Post-processing results
---
-surf_research_cloud_setup.ipynb
-surf_collaborative_setup.ipynb
-ADCP_data_tutorial.ipynb
-CTD_data_tutorial.ipynb
+
+
Drifter_data_tutorial.ipynb
Argo_data_tutorial.ipynb
CTD_transects.ipynb
ADCP_transects.ipynb
+xbt_plotting.ipynb
+Ship_underwater_ST_plotting.ipynb
+```
+
+```{nbgallery}
+---
+maxdepth: 1
+caption: SURF Research Cloud set up
+---
+surf_research_cloud_setup.ipynb
+surf_collaborative_setup.ipynb
```
diff --git a/docs/user-guide/tutorials/xbt_plotting.ipynb b/docs/user-guide/tutorials/xbt_plotting.ipynb
new file mode 100644
index 00000000..b10e0f72
--- /dev/null
+++ b/docs/user-guide/tutorials/xbt_plotting.ipynb
@@ -0,0 +1,208 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "6607cec9",
+ "metadata": {},
+ "source": [
+ "## XBT Plotting\n",
+ "\n",
+ "In this tutorial, we will show how to make simple depth profile plots from XBT data collected during a VirtualShip expedition. \n",
+ "\n",
+ "There are example plots embedded in this notebook, but these will ultimately be replaced by your own versions if you are working through the notebook with your own expedition output.\n",
+ "\n",
+ "XBTs are relatively simple instruments which measure temperature as they fall through the water column, and can be useful for capturing vertical structure in the upper ocean."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8e3f34ad",
+ "metadata": {},
+ "source": [
+ "### Set up\n",
+ "\n",
+ "#### Imports\n",
+ "\n",
+ "The first step is to import the Python packages required for post-processing the data and plotting. \n",
+ "\n",
+ "
\n",
+ "Tip: You may need to set the Kernel to the relevant (Conda) environment in the top right of this notebook to access the required packages! \n",
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "63bef1a3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import matplotlib.pyplot as plt\n",
+ "import math"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d283ff11",
+ "metadata": {},
+ "source": [
+ "#### Data directory\n",
+ "\n",
+ "Next, you should set `data_dir` to be the path to your expedition results in the code block below. You should replace `\"/path/to/EXPEDITION/results/\"` with the path for your machine.\n",
+ "\n",
+ "
\n",
+ "**TIP**: You can get the path to your expedition results by navigating to the `results` folder in Terminal (using `cd`) and then using the `pwd` command. This will print your working directory which you can copy to the `data_dir` variable in this notebook. Don't forget to keep it as a string (in \"quotation\" marks)!\n",
+ "
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "321ac860",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# set data dir path\n",
+ "\n",
+ "data_dir = \"/path/to/EXPEDITION/results/\" # set this to be where your expedition output data is located on your (virtual) machine"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4bdb8be5",
+ "metadata": {},
+ "source": [
+ "#### Load data\n",
+ "\n",
+ "We are now ready to read in the data using the `xarray` package. You can carry on executing the next cells without making changes to the code…"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "18ea91b0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load argo data\n",
+ "\n",
+ "xbt_ds = xr.open_dataset(f\"{data_dir}/xbt.zarr\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d754d25d",
+ "metadata": {},
+ "source": [
+ "### Plotting\n",
+ "\n",
+ "
\n",
+ "**NOTE**: The plots produced next are a starting point for your analysis. You are encouraged to make further adjustments and enhancements to suit your own data and research question.\n",
+ "
\n",
+ "\n",
+ "We will now produce plot(s) of the XBT deployments. We will create a depth profile subplot for each deployment/waypoint, showing the temperature stucture of the water column at each location.\n",
+ "\n",
+ "Here, depth is plotted on the y-axis and temperature on the x-axis. Can you spot the thermocline in the profiles? Are there any notable differences between the profiles at different deployment locations?\n",
+ "\n",
+ "
\n",
+ "**TIP**: The maximum depth that the XBTs can record to in reality is controlled by the model of probe which is used. In VirtualShip, the default maximum depth is set to 285m, but this can be adjusted via the `virtualship plan` tool (see the _Instrument Configurations_ > _XBT_ section). Note, however, this does mean you would need to re-run the expedition to generate new data with the updated configuration.\n",
+ "