tutorials/5-flowerMD-surface-wetting.ipynb

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   "source": [
    "# Running a Surface wetting Workflow with flowerMD"
   ]
  },
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    "## Overview:\n",
    "\n",
    "This notebook demonstrates how to run a surface wetting workflow with flowerMD. For demonstration purposes, we will create a Poly(ethylene) droplet on a graphene surface. The workflow consists of the following steps:\n",
    "\n",
    "1. Create a droplet of the polymer melt\n",
    "2. Create a graphene surface\n",
    "3. Combine the droplet and surface into a single system\n",
    "4. Run wetting simulation"
   ]
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   "source": [
    "## Step 1: Create a droplet\n",
    "\n",
    "Let's start by creating a Poly(ethylene) droplet. We will use the `PolyEthylene` class from the `flowermd.library.polymers` module to create a Poly(ethylene) melt. We will then use the `Pack` class from the `flowermd.base.system` module to create the system.\n",
    "\n",
    "Next step is to start the droplet simulation by using the `DropletSimulation` class from the `flowermd.modules.surface_wetting` module. We will use the `DropletSimulation.from_system` method to create the simulation object from the system object. This method will automatically create the simulation object with the correct parameters for the droplet simulation."
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   "source": [
    "from cmeutils.visualize import FresnelGSD\n",
    "import unyt\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
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   "execution_count": 2,
   "id": "03fb3c31-28c5-4520-a85e-b9828f20c2e4",
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     "text": [
      "/home/chrisjones4/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/mdtraj/formats/__init__.py:6: DeprecationWarning: 'xdrlib' is deprecated and slated for removal in Python 3.13\n",
      "  from .xtc import XTCTrajectoryFile\n",
      "/home/chrisjones4/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/mbuild/recipes/__init__.py:13: DeprecationWarning: SelectableGroups dict interface is deprecated. Use select.\n",
      "  entry_points = metadata.entry_points()[\"mbuild.plugins\"]\n"
     ]
    }
   ],
   "source": [
    "from flowermd.base.system import Pack\n",
    "from flowermd.library.polymers import PolyEthylene\n",
    "from flowermd.library.forcefields import OPLS_AA"
   ]
  },
  {
   "cell_type": "code",
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     "text": [
      "No charged group detected, skipping electrostatics.\n"
     ]
    }
   ],
   "source": [
    "polyethylene = PolyEthylene(num_mols=70, lengths=25)\n",
    "droplet_system = Pack(molecules=polyethylene, density=1.0 * unyt.g / unyt.cm**3)\n",
    "droplet_system.apply_forcefield(\n",
    "    force_field=OPLS_AA(),\n",
    "    remove_charges=True,\n",
    "    remove_hydrogens=True,\n",
    "    auto_scale=True,\n",
    "    r_cut=2.5,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "18fa1f94-d803-4c52-b9ca-cb081fb28953",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initializing simulation state from a gsd.hoomd.Frame.\n"
     ]
    }
   ],
   "source": [
    "from flowermd.modules.surface_wetting import DropletSimulation\n",
    "\n",
    "droplet_sim = DropletSimulation.from_system(\n",
    "    droplet_system,\n",
    "    gsd_file_name=\"droplet_trajectory.gsd\",\n",
    "    log_file_name=\"droplet_sim_data.txt\",\n",
    ")"
   ]
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   "source": [
    "<div class=\"alert alert-block alert-warning\"><b>Warning:</b> Due to the large system size, the following cell may take approximately 30 minutes to an hour to run.</div>"
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   "source": [
    "**Run the droplet simulation:**\n",
    "\n",
    "The `run_droplet` method runs the droplet simulation. The method takes the following steps:\n",
    "1. Shrink the box to a high density at a high temperature. This allows the polymer chains to pack tightly.\n",
    "2. Expand the box to a low density at a low temperature. This allows the polymer chains to relax and form a droplet.\n",
    "3. Hold the box at a low density at a low temperature. This allows the droplet to equilibrate."
   ]
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      "Step 1656499 of 2000000; TPS: 6921.96; ETA: 0.8 minutes\n",
      "Step 1661999 of 2000000; TPS: 6922.02; ETA: 0.8 minutes\n",
      "Step 1667499 of 2000000; TPS: 6922.06; ETA: 0.8 minutes\n",
      "Step 1672999 of 2000000; TPS: 6922.11; ETA: 0.8 minutes\n",
      "Step 1678499 of 2000000; TPS: 6922.16; ETA: 0.8 minutes\n",
      "Step 1683999 of 2000000; TPS: 6922.21; ETA: 0.8 minutes\n",
      "Step 1689499 of 2000000; TPS: 6922.25; ETA: 0.7 minutes\n",
      "Step 1694999 of 2000000; TPS: 6922.31; ETA: 0.7 minutes\n",
      "Step 1700499 of 2000000; TPS: 6922.33; ETA: 0.7 minutes\n",
      "Step 1705999 of 2000000; TPS: 6922.4; ETA: 0.7 minutes\n",
      "Step 1711499 of 2000000; TPS: 6922.42; ETA: 0.7 minutes\n",
      "Step 1716999 of 2000000; TPS: 6922.51; ETA: 0.7 minutes\n",
      "Step 1722499 of 2000000; TPS: 6922.51; ETA: 0.7 minutes\n",
      "Step 1727999 of 2000000; TPS: 6922.57; ETA: 0.7 minutes\n",
      "Step 1733499 of 2000000; TPS: 6922.58; ETA: 0.6 minutes\n",
      "Step 1738999 of 2000000; TPS: 6922.65; ETA: 0.6 minutes\n",
      "Step 1744499 of 2000000; TPS: 6922.65; ETA: 0.6 minutes\n",
      "Step 1749999 of 2000000; TPS: 6922.69; ETA: 0.6 minutes\n",
      "Step 1755499 of 2000000; TPS: 6922.71; ETA: 0.6 minutes\n",
      "Step 1760999 of 2000000; TPS: 6922.76; ETA: 0.6 minutes\n",
      "Step 1766499 of 2000000; TPS: 6922.79; ETA: 0.6 minutes\n",
      "Step 1771999 of 2000000; TPS: 6922.84; ETA: 0.5 minutes\n",
      "Step 1777499 of 2000000; TPS: 6922.87; ETA: 0.5 minutes\n",
      "Step 1782999 of 2000000; TPS: 6922.91; ETA: 0.5 minutes\n",
      "Step 1788499 of 2000000; TPS: 6922.93; ETA: 0.5 minutes\n",
      "Step 1793999 of 2000000; TPS: 6922.96; ETA: 0.5 minutes\n",
      "Step 1799499 of 2000000; TPS: 6922.99; ETA: 0.5 minutes\n",
      "Step 1804999 of 2000000; TPS: 6923.02; ETA: 0.5 minutes\n",
      "Step 1810499 of 2000000; TPS: 6923.04; ETA: 0.5 minutes\n",
      "Step 1815999 of 2000000; TPS: 6923.09; ETA: 0.4 minutes\n",
      "Step 1821499 of 2000000; TPS: 6923.09; ETA: 0.4 minutes\n",
      "Step 1826999 of 2000000; TPS: 6923.13; ETA: 0.4 minutes\n",
      "Step 1832499 of 2000000; TPS: 6923.14; ETA: 0.4 minutes\n",
      "Step 1837999 of 2000000; TPS: 6923.19; ETA: 0.4 minutes\n",
      "Step 1843499 of 2000000; TPS: 6923.19; ETA: 0.4 minutes\n",
      "Step 1848999 of 2000000; TPS: 6923.16; ETA: 0.4 minutes\n",
      "Step 1854499 of 2000000; TPS: 6923.17; ETA: 0.4 minutes\n",
      "Step 1859999 of 2000000; TPS: 6923.23; ETA: 0.3 minutes\n",
      "Step 1865499 of 2000000; TPS: 6923.26; ETA: 0.3 minutes\n",
      "Step 1870999 of 2000000; TPS: 6923.31; ETA: 0.3 minutes\n",
      "Step 1876499 of 2000000; TPS: 6923.35; ETA: 0.3 minutes\n",
      "Step 1881999 of 2000000; TPS: 6923.4; ETA: 0.3 minutes\n",
      "Step 1887499 of 2000000; TPS: 6923.44; ETA: 0.3 minutes\n",
      "Step 1892999 of 2000000; TPS: 6923.5; ETA: 0.3 minutes\n",
      "Step 1898499 of 2000000; TPS: 6923.52; ETA: 0.2 minutes\n",
      "Step 1903999 of 2000000; TPS: 6923.56; ETA: 0.2 minutes\n",
      "Step 1909499 of 2000000; TPS: 6923.57; ETA: 0.2 minutes\n",
      "Step 1914999 of 2000000; TPS: 6923.61; ETA: 0.2 minutes\n",
      "Step 1920499 of 2000000; TPS: 6923.63; ETA: 0.2 minutes\n",
      "Step 1925999 of 2000000; TPS: 6923.7; ETA: 0.2 minutes\n",
      "Step 1931499 of 2000000; TPS: 6923.71; ETA: 0.2 minutes\n",
      "Step 1936999 of 2000000; TPS: 6923.76; ETA: 0.2 minutes\n",
      "Step 1942499 of 2000000; TPS: 6923.77; ETA: 0.1 minutes\n",
      "Step 1947999 of 2000000; TPS: 6923.83; ETA: 0.1 minutes\n",
      "Step 1953499 of 2000000; TPS: 6923.85; ETA: 0.1 minutes\n",
      "Step 1958999 of 2000000; TPS: 6923.93; ETA: 0.1 minutes\n",
      "Step 1964499 of 2000000; TPS: 6923.97; ETA: 0.1 minutes\n",
      "Step 1969999 of 2000000; TPS: 6924.05; ETA: 0.1 minutes\n",
      "Step 1975499 of 2000000; TPS: 6924.11; ETA: 0.1 minutes\n",
      "Step 1980999 of 2000000; TPS: 6924.17; ETA: 0.0 minutes\n",
      "Step 1986499 of 2000000; TPS: 6924.22; ETA: 0.0 minutes\n",
      "Step 1991999 of 2000000; TPS: 6924.28; ETA: 0.0 minutes\n",
      "Step 1997499 of 2000000; TPS: 6924.33; ETA: 0.0 minutes\n",
      "Step 2998 of 100000; TPS: 6903.81; ETA: 0.2 minutes\n",
      "Step 8498 of 100000; TPS: 6924.02; ETA: 0.2 minutes\n",
      "Step 13998 of 100000; TPS: 6932.02; ETA: 0.2 minutes\n",
      "Step 19498 of 100000; TPS: 6931.01; ETA: 0.2 minutes\n",
      "Step 24998 of 100000; TPS: 6932.48; ETA: 0.2 minutes\n",
      "Step 30498 of 100000; TPS: 6932.38; ETA: 0.2 minutes\n",
      "Step 35998 of 100000; TPS: 6933.01; ETA: 0.2 minutes\n",
      "Step 41498 of 100000; TPS: 6932.02; ETA: 0.1 minutes\n",
      "Step 46998 of 100000; TPS: 6933.24; ETA: 0.1 minutes\n",
      "Step 52498 of 100000; TPS: 6916.78; ETA: 0.1 minutes\n",
      "Step 57998 of 100000; TPS: 6919.12; ETA: 0.1 minutes\n",
      "Step 63498 of 100000; TPS: 6920.01; ETA: 0.1 minutes\n",
      "Step 68998 of 100000; TPS: 6922.11; ETA: 0.1 minutes\n",
      "Step 74498 of 100000; TPS: 6922.63; ETA: 0.1 minutes\n",
      "Step 79998 of 100000; TPS: 6923.93; ETA: 0.0 minutes\n",
      "Step 85498 of 100000; TPS: 6924.72; ETA: 0.0 minutes\n",
      "Step 90998 of 100000; TPS: 6925.77; ETA: 0.0 minutes\n",
      "Step 96498 of 100000; TPS: 6926.55; ETA: 0.0 minutes\n"
     ]
    }
   ],
   "source": [
    "# Uncomment the code-block below to try creating a polymer droplet.\n",
    "\n",
    "\"\"\"\n",
    "droplet_sim.run_droplet(\n",
    "    tau_kt=droplet_sim.dt * 100,\n",
    "    shrink_kT=5.0,\n",
    "    shrink_steps=1e6,\n",
    "    shrink_period=1000,\n",
    "    shrink_density=1.4,\n",
    "    expand_kT=0.5,\n",
    "    expand_steps=2e6,\n",
    "    expand_period=1000,\n",
    "    hold_kT=0.5,\n",
    "    hold_steps=1e5,\n",
    "    final_density=0.05\n",
    ")\n",
    "droplet_sim.flush_writers()\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bd62f83",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "<div class=\"alert alert-block alert-info\"> <b>Note:</b> In order to reach the perfect droplet shape, you might need to try different parameters (e.g. system size, density, and temperatures) and check the trajectory to see if the droplet is forming.\n",
    "</div>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1400370-a30a-4d33-a625-bf000a499846",
   "metadata": {},
   "source": [
    "For demonstration purposes and to save time, we will use the pre-run droplet simulation snapshot for the above system, saved in the `data` directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c0b0f2c7",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "import gsd.hoomd\n",
    "\n",
    "droplet_snapshot = gsd.hoomd.open(\"data/polyethylene_droplet.gsd\")[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "444a22c1",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "Here is a visualization of the droplet:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9893f59d",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<fresnel.util.ImageArray at 0x7fac44693d50>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_viewer = FresnelGSD(\n",
    "    gsd_file=\"data/polyethylene_droplet.gsd\", view_axis=(0, 1, 0), frame=-1\n",
    ")\n",
    "sim_viewer.view()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e75e340-2c45-401e-bd0a-70f907f90975",
   "metadata": {},
   "source": [
    "Since we will need the forcefield and reference values of the droplet system later, we will create a new droplet system with a smaller number of molecules and save the forcefield and reference values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "66b810dd-1bde-43e6-8aad-5ef3f72049c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No charged group detected, skipping electrostatics.\n"
     ]
    }
   ],
   "source": [
    "polyethylene_small = PolyEthylene(num_mols=10, lengths=5)\n",
    "droplet_system_small = Pack(molecules=polyethylene_small, density=1.0)\n",
    "droplet_system_small.apply_forcefield(\n",
    "    force_field=OPLS_AA(),\n",
    "    remove_charges=True,\n",
    "    remove_hydrogens=True,\n",
    "    auto_scale=True,\n",
    "    r_cut=2.5,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bb089f98-a502-44e3-a656-be25a844816e",
   "metadata": {},
   "outputs": [],
   "source": [
    "droplet_ff = droplet_system_small.hoomd_forcefield\n",
    "droplet_ref_values = droplet_system_small.reference_values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29c97387",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "## Step 2: Create a graphene surface\n",
    "\n",
    "We will use the `Graphene` class from the `flowermd.library.surfaces` to create a graphene surface. The size of the graphene surface is determined by the `x_repeat` and `y_repeat` parameters, which determine the number of unit cells in the x and y directions, respectively.  The `n_layers` parameter determines the number of graphene layers.\n",
    "This class is a subclass of `System` base class, so we can use the `apply_forcefield` method to apply the force field to the graphene surface."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee7d0ebc",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "**Note**: We are using the droplet system's reference values to scale the graphene surface. This ensures that the graphene surface and the droplet system have the same units. Make sure to set the `auto_scale` parameter to `False` when applying the force field to the graphene surface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1a685c3d-ba9f-4db9-9aee-02e61526e2f0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No charged group detected, skipping electrostatics.\n"
     ]
    }
   ],
   "source": [
    "from flowermd.library.surfaces import Graphene\n",
    "\n",
    "graphene = Graphene(\n",
    "    x_repeat=30, y_repeat=30, n_layers=2, base_units=droplet_ref_values\n",
    ")\n",
    "graphene.apply_forcefield(\n",
    "    force_field=OPLS_AA(), remove_charges=True, auto_scale=False, r_cut=2.5\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f96db611",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "## Step 3: Combine the droplet and surface systems\n",
    "\n",
    "The `InterfaceBuilder` class from the `flowermd.modules.surface_wetting` module combines the droplet and surface snapshots by placing the droplet particles on top of the surface. The particles are placed in a box with a height equal to the `box_height` parameter. The `gap` parameter determines the distance between the droplet and the surface.\n",
    "\n",
    "This class also combines the force fields of the droplet and surface systems, while also accounting for new LJ interactions between the droplet and surface particles.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a37a21d6-4185-4ecf-b3c3-112a4436cdae",
   "metadata": {},
   "outputs": [],
   "source": [
    "from flowermd.modules.surface_wetting import InterfaceBuilder\n",
    "import unyt as u\n",
    "\n",
    "interface = InterfaceBuilder(\n",
    "    surface_snapshot=graphene.hoomd_snapshot,\n",
    "    surface_ff=graphene.hoomd_forcefield,\n",
    "    drop_snapshot=droplet_snapshot,\n",
    "    drop_ff=droplet_ff,\n",
    "    drop_ref_values=droplet_ref_values,\n",
    "    box_height=12 * u.nm,\n",
    "    gap=0.4 * u.nm,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a854a44",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "The new snapshot and force field can be accessed using the `hoomd_snapshot` and `hoomd_forcefield` attributes, respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "94cda23f-9ad6-41c4-8251-311b209f9c41",
   "metadata": {},
   "outputs": [],
   "source": [
    "wetting_snapshot = interface.hoomd_snapshot\n",
    "wetting_forcefield = interface.hoomd_forces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1ca51b8c-574a-48ae-a8ae-97995320bdf3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# save the `wetting_snapshot` to a gsd file\n",
    "with gsd.hoomd.open(\"surface_wetting_init.gsd\", \"w\") as traj:\n",
    "    traj.append(wetting_snapshot)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a776c54",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "Let's visualize the new snapshot containing the droplet and surface particles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e1500802",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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aMov1Rb0/7C9U81X60z72rk1ZK2PqJrZr43gOkijR6/UQFIFYi/Ej/5N//EN//JNTb/off+Frv/Cn+v573yZqomZdLFz8K88uPvuXLd2yW8PWimZqvH7wOovW4kvNZpPlheW/f9Q6olgqcnnh8qeUrynf+UbnjbcAFEGR/dh/p0RdUS5WFFHhxDtJ52I/WGeeYjprh1UgrU34+5okSPKl/KVPLBeXnzM184er2SpvHr6JPbPJulnwQTVVslqWfDuPpVtolsat7VvMZecwVZOl8hKREqFndHJujnuH9wLf9/+lJ3g/OvNnXG1eZXuwjSIoiKqIaqrk/Bz1Rp2vbX2N0AvJVDM8U3+G33jjN1BbKqqksjfYI2/k8ds+ZaNMJp+holY++V2j7/qh//PO//l//F7vZy239heuNa79hBu4VilXolwqV7KZLO1hm+6oS0Nv4PouoiASEzPyRgyHw8LHLnzsCy+uvHhj7Iyv1LK1wsybff7Tb336T4mi+ImPrXzsny+VliqiKG780uu/9NHtyXZHEzXr2cazP5jVsvLt49u/sDvdTTuz89fijFNMZ+2w5Edok/oWupC/8BMfWf7Ij83X5pGRQYEL8QW229v4vg/AwBuQVbOMnTGO73AyPKE/6dPMNxEUAUMwaHVbCLGA4ziO4zufvlC88KlmocnMm2FaJldzV3n97utku1kIYebMQANREBk6QybTCbqm88zCM84v3/jlf9BxOv9SFMTreTX/PxQyhe9XK6o1c2YQwdSb/q4/gqZo6mWtvFDKlFZM3fwJwHICh5k3ww1cZFlmt7dLFEfB0fhIliUZQzboTrq0T9os5ZeozFcKhmK8fNQ6olApoDrqJ15ee/lnurPudVMxK7qlk81k17/n6vf8zK/d+bUfaeabX3h6/umVarnKpfqlP/mTX/3JH/jete/95bJZDnYHu//k17Z/7Zc+iM/z29yZp5jO2vlYpCOs39cyWuaHECCWYmRFZjKesFZbw5t6vHH0BiEheT1PGIZIgsTR6IhKWGHoDOmP+8iSjBiKbHW2KE1LLNYX9e9sfOef7nf75Eo5ymGZzrCDlbUICLjTukO2nyUmpj6tEzmRc2Qf6VbPIvZjDNnQP37x48s/eeMn9wWE1sXixYKmaC+17Na62BKRBRnHd174M9f/zB+71773D07sk6fXKms/MZ+f1xdqC7T6Leypza6zy2H/kCiM8Hyv9cruK38H+OKhfPjjrWGrEkbhvw0Jf1hX9ecqRoXpbIokSniBx939u3iOx2p99VOXrcvc2rzFZDZhOB2iiMonfvCjP7i109mRRVlEVEQy2czLz80/t1W2yvrSwhIr8yvP2a69/aWjL736QX++32YKwPWzNDhrh7VNmsDv9zU3dIPD4SFhFNIsNJEFmcOjQ8pGGVmWKWkl2tM2YRxysXIRPasjxAKX5EvcPbob9Ca91t5g788HYvBPDcW44kc+ERGKrOB4DpqkkTWzxF7Mc8vP8cUHX8RQDSIlol6vUxwXdSd2EBDI5rNkzSxiR/z4h8ofelqSpX9xtXb1uSP7iEvVS9TrdaRQwmgZf8GPfF5cfvFTb7TeCGzflmVZRtEVLi5d5JVbr7BcWGbiTvjigy/+x2P7+EfG4bgFMA7Hf6rjdfSLuYtP67L+F6f+9B8ejA5elkUZUzE5GB1wPD1mObdMLMWoskrGzLBxtEEURVxsXkTP6PKysMzW0RazYIY9sZkFMz2MQvzAR5VUPafn1oG0w3q8HM558bNO2mH9vrWSWXnxSvlKSxKlAjFoloalW0ycCd1pl2u1a1SqFX7t5q8x9afMvBlVpYou6xTVImIg/sufv/XzfwkI5jPzv9KetK9kuhm8mcdwMiQmxlAMms0mCgqaoJHVsozdMUuZJRzbYTgbEggBXuhhT210XUeQhYU/9tQf+9rMm9EetnF8By/wiKIIEZHt/jZzuTny5TxiR5Qdx2EwGVAYF3BlF03SMHSDD1/6MO1OW/9XX/lXg7JStiRBsnJ6Tq/n6j9/vXH9xWqxGtxp3WHrZIuBO2B5cZlIjAZ3O3dfNSTj41bbwpt5xF782Vd2X/n3V6tX//lwPMQ0TSI34l77niNKon6hcAGAo9ERoiCiiIqz0dn44gf76X5bKnDOt4QP89ecKZw+df4s2bp+uX75c818U89n8kynU+yJjSRIaKrGpcol7LGN53kUM0WkUCKn5ej3+3iBh6VZGIrx3IvNF39sLjf3wtgZf3mjt/HpiTf5VDVTRUREkzXiOGYwGCAhEccx1xev88r9Vwa3j27rc7k5PaNluFa/xs3Dmxx1j3AdF1mUqdaq5PI5jnpH6LLOyfgEAQFiGLpDCl4BP/B5culJfv3mr3NsHyN3ZMqZMlEcIQgCm3ubVK3qy//Ti//TbG+wFxiKQb1Ql2VRZjgbohqqvFxfZvNkk6ySZdAdoAt6sJRb+t/vdu5u9Kf9T9Qz9e1bx7f+fDPb/Au2Z7PZ3cQJHHJ67s5bJ28938g1/nVJL33/9fp1DgeHvL73+o2RM/qRTXvzTAU/U++LzDnHYUG6lvD3JUu1Pj50hrrjOZSLZbJilq3jLfr9PrNwRskrkVWzTCdTMmKGerbOXGMOQzU4PjmmUCwgx/JzS9Wl59qjNsJI+NP/bfW/DTZ7m/SmPRqFBoVsgbf23uK6eB1Ls9ANHX/mUzErvzJ0h9/fKDYoF8sETsAffeKP8trd12iNWqzX1onciNcPXierZVmprxAGIbudXbqzLiIi7UkbtaViqRb1bJ16ps7K/Ao5M4cmJSEMV6pXsIqWLIkSrx++Lq+V1tAtHV3RGU6GHB4fklWz1K06W/0tpv6U5dJy5aOrH/3FsTt+5rWT1/7S2723g4pe+f7FwuKPX2xcRDZkZpMZ1Vz1yvNzz7/46tGrf0+IhRcHs4Gc03I3bnRufN8H/dl+G+twxtCGR8npnt4S/j4jCZIcR/G+F3kIopBMHOcy5PQcuqpT0AtosoZqqWT0DP1ZHz/yCeIAJJBEiViMkQ2ZMA45Hh8zdIbExPLAHbBSXGEuN0fFqlDP1cllcjSaDTRRQ5AELi9d/tOyKMuxECPIAoqmMB6NyapZTMVEy2jIhsxuexfbtfF9H0MxWCwv8vTC0zzVfIowDjmxT9BUDStr4QQO9tRm6kwJwgDbsxk5I/rjPjce3OBa/RoAo8GIiT1BQECVVXKlHE8vP40kSmS1LKZpki1l5ZcuvvQTQCAgyJVs5Z+HccjEnXBn+w6KoCBJElcbV394Gk5vbA43F790+KWLn9n6TNpZna8G5zzC6py+SDo8/hYzRdNayi2tz/xZywkc6+m5p//c1Ju+FhH9mafmnvqUIivbv7X9W0F73JaNroGlW8RxTKVaYTQdcdw/ZruzzXpjncXa4ju3ZjNjRnvUZhbOyGgZfNenqBepZWpoRjJHVTJLlLNlxEikaBQJ4oAgCpAUCV3UsSyLaTClM+wgSzKRH9Gb9HAFl5E7YjgasuPt4AQOiqRgWAZu5HJ4cshSdYmKWqE4LjKcDXF8h7XaGl+89UWiOKLda1MyS1wqXSKjZLh/cB9FVHjQeZDMexXyyMj04h5hEBJGIZqqcbF8kXKuTNbK4k5dFFF5+uG5DMNwcGwfV7zQw1RMHj4drJfrn7yYu7hwf3R/n/RO4luhwxmD0M/aYS2ccfvUYyAgyB9Z+Mh/vla79pKu6HZ32pULVkEv5Uv0ej20jEY+l1//LvW7eH37dVzXxVRM/NDnzd03cR2XIArIKBkiIuYKcxx3jtkd7BJ0A4bukJpT40LtAiWrRNWoIggCx51jhFhA1VQMy4AA5IFMb9QjDpMnbrVyDXtos5hfZKO7wWA6IIgC1mvrrNZX+a23f4t7rXuIgogmaUy9KZPZhP3hPpqgoRgKpm5y0b3IZ+9/lva4TRiFPDP3DPvDfebz85RyJXJmjkw+g9Wx+MrOV/Aij2qmSkiIIiuMnBEzfwaAFEsIggAyCJJAFES0h+07ADFxMJqN/r+xFv/DKIpwNZf+sI8gCERexMAZDD7Iz/oPGZ0zhkmdtcPaJ11L+C1zvXT9+y9VL/2xzrRTmc/Pv1QoFcjoGUvsiIRyiKiIFHIFOqMOqqYycSdklAxO4BDFEdVslZ39HRRRIafnaI1amF2T0WzEh5c+jJWz+A+v/Qculy+zWFtEl3ViMUZSJbyph6EZjNwRg8kA0zLBAzEWuXF4gwvFCzxx4QliMWY8GdMoNjBlk5E3Yru3zXA2JDPJ8PTc07yx+wYjb0Rez7Mz3EESJbYGWzQyDTrdDvlMns64QxRHbA+2KRgFRE1EEiUUVcHIGoSzkIk9IW/lKZtlDu1Dhs6QzkkHVVIZzobc69xj7IyZy82xP9onJiYOY4RQQJO1d87ryezkH18oXvjLMfHCE/UnqJfquK7Lr9z+le9re+10ZPWtI3POke7W6QukyxbO2Xpx/Z8/u/jsjy40FtAUjbs7dwmiIJl1FKE76EIMQihwMjxhOBkiCiJRHCWxUvksiqDwoehDvLr7KsvlZURNZKOzQVbO4oUesRDjRz6bvU380KdklDC0ZJGyN/PQLI1muclwNqQwKpC38jSLTcqdcuDHvjwYDHBsh63uFqqkslJbYfdgl0a2wVZ3C8dzUCWV1coqbbdNd9DFlExut2+zmFvkcHxIJVPBVEwKmQLr9XW22lt4oUcYh4ycEVN3ysydEbohmqEhBAJPzD9BfVxHjEWyWhbXc1mtrlKv1tnY38DIGMiezO3j28zN5liprHDn5M4/enhuG5nGX8iomQU/8hHFZGmRaZqsVdau3B7cTsMXvnV0zjkOq/AIbVJnJCDIhmJ8wo98YiFGUiQiIk66J0zGE/b7++wN91hxVqhkKsHt9u3WU82nFhbqC6wr6+y2dvFDH0mR0AyNkTuib/eZK8xRVau8svsKR/0j4ihmObdMLVMjb+Tp2l22+ltYqoUsyjTVJhYW9WodXdUxLAN/6vPSpZfko+4RrXGL5dIyfuQzX57HyBmMHoyQDIlrjWtU8hV6wx66rlPVq+y0d/hQ/UPEasyrm69SzpSZBTNagxYL5QWuVa85B70D+tO+XpfqDN0h251tJrMJuqITT2MyYgZFUtjp73CteY18JU/ohMRSTDkoo9ZVdE1nrbJGhgwXGhcoFUo8Lz//v/zW/m99GiAMw6Dn9IjjGNuxGYwGqILKk4tP/ouCUbj8szd/9v/1AV8Cf1h0+BZkHD1ThsDU2cXEwdSf7rft9orRNrAMC3tm7+87+41L1UvyanUVWZQ5Hh/fuNW69T+ruvqLURQRCRGSJiGJEq3jFrqi8zDi+63WW8xN5lguLVM36xyPj+lOuhTMAs1qk0K2gNpWSUKjYopGkXsH91gqLGEVLAzVYDKZEHgBVt5iXVvHiRyyZhZi6E/6FP0iuUyOZqZJXs8TCzFFq8hB74CBO+Bq5Sq6otOoNzi2j+kMOmz3t7lUvoRiKGSMjP7CwgvYrs3Um/Jk/Uk2+5vcPLlJ1aySUTOUmiVKpRKFUYGZO8P1XaIwIgxCTMOkVq3hTlwyZoZsPYvt2XiBh4h4xRANeRbNgr7b/7QxNf4HTdI+fr97n6k3pV6ss9BY4Kp19a8903rmp7/W/tpbH/R18IfAmZf6PUqHlYY1fAscDA/+fBAEn5v5s4VL1UsslhcLdsuWDd3AyBmUvbIThMF/vNe+92pBLtgnk5OK1bNwZy4Td8LAGyDGIrZjt7zIayiSQiiGHE2OMFWThfwCtmcz9af4YTKSExSBer5OzswhyAKRHtFutxnbY2Iz5qRzghd51OQaeODGLoqsALDZSwIwlVihmCtSLBVxxy6e5LE2t0Zv2CNjZbB0i96wx9XKVX61/asIopCELNgj4jAmiiOWF5ZRULBtm83hZnL7aB8iCiKO7xCEQTI/d7zDxJ2QN/LUq3UcO4mg1xUdRVMwNIOTvRP2pns4vrP9wvwLn7p1fOtX2l67szPa+b71/PrPhHH4p3eGO1i6xcgeIQYiXuCl62W/NQaccxGKNJ/7t4gTORtHk6PnFwuLe7Isy7lizprtzxhMB2x0Nlgrrekfvvzhv3V57vJfeWXrFSuOYzZONmjmmizVlliVVhFVkd+58zsNJVSo5WosV5Y5sA8IvABVUrm0cImt3hbdfpfpbErP7rE6t4qRTW79ytkyvW4PfJiNZvTCHnIgEzgBhmpw0D5gOBoSRAGXKpcIozAZHU2n+IGPKZtIuoSW0SiEBUJCBFmACFzX5XrtOn2nz0Z3A2JQJAVTMylTJpZiAj9gtbhKEAR4kceJfUKulyP0k/0US0X2WnvkzBxIYFpmsjZRNbBHNuNgjCzKHAwPqGQqTz+7+uwvvrDywuDfvPpvLoiS+KNLxaVP1a06mq6x293FD3z60/4/u9W/dabSU6lHFnDG/uRR0sukI6xvEV3SF2b+TJ44EwphAUMzuNm6SUkvEcYhkRDxYPDAWi+v0yw3ubF7I7kN1GVEUcQZOSiCwlONp8iZOQ76B+x397leu06lWkFXdC43LvNrN34NVVYREBiMBslCZ9vhi9tf5ErlClbBwtRMJv4E1VTRZR2rYNEMmtw7voeAQNkss1BbYN6b5/W917lYuUimlGE0HtFxO2iShpWx6La7dO0uE2/CSnWFrJfFCzwyWoY77TtcKFzgwe4D8kYeS7FYn1vHm3lEw4jBdMDt9m380OfJ9SepSlXe3n2bnt3D0A2EUCASIqJMRGfYQRRFFucXUc0krbMoiJiWWfiey9/znzcHm08P3IHezDZZqC+wNr/Gnc07P/Wr27/6lz7oz/0PkTOnqzprh3WXZOI9ffT7LTALZhsTf9I6GB404jimptcYTof0nT7tcZsgDtjr7JGr5pKRjKHRn/YZbA1YKi2hyiqiIGJkDAqlAoqicK97jzAK36k3OGwPear5FIqi8BsPfgOpKzG0h8iiTF7PM3JGTGYTRFGEGLLFLJZuMRwMude6Rz1X5+3jtylnyii6QjabZW4wRxAH3D2+i+RJLNWXMFSDw5NDNFmjYBbwQg81o7JUWGKztUlGy1DNV4mFmOFsyFx5jkKhQOAESKpEQS8QEYEAfuTTbrfRFZ2smuX2yW0cz8EJHApGgapbxVRNnNAhJGR/uI+KiqRKKLrCfGX+xWK1yGfe+Az9WZ9sO8kq4XhOevfwrbXOOUe650lHWI/df5nCF2DVWl3XNf3vljPlhqmaZAtZ5kvzbL2+hSEabHY3KUwLTLwJg9mA7CBL3azzO63f4XL5Mqqhks/m6W32aEwamKaJ53voss7R+AizbTLTZ8RxTK1eIw5iPrT4IdyZy8nkhGu1a1xcucjrm6+zd7xHTssxmA3QMzoiYpKbKo7IZDKEQsh4NmY4HuLKLoVsgYPuAVvDLS6WLhISIqoipmZi5kwMzcDZcej3+5gZk4k3YTwb0xv3CLSAslEm8iM8zyOOY/bb+4ycEf/N1f+Gg/EBgiMkozzVolFsMPbHiKLILJpREksUygWyRpbZaIYzcjBigzAO6fV6BH4AMZQKJZq5Jpu9TbzAo6AX9r+8++V/9F6fUepcvMU5d1jWI7RJvUtJKT39wuILf3O1vPrSvfa9f1A0in+5YlVo2+2f/E93/9P/asjGiy+vvvzLQRRUDuwDxt6YWqaGKZtEccS1yrX9r+x+RS6bZUsWZVlG1u+07zDzZzTyDS7UL9AddSmNSqiKSjVbZbe/y2A2YK44x8vXXuY37/4mXuhhZS1USSWOYwRRIK/meeP4DbzQ42EerGcuPMNR/whFVdg73gPAUAxiYlZKKzgThwulC2y0NojjmGKuyHJzmdFsRNSPaNttMp0M7tRlNBmBCkSQNbIMp0OOT47JqBmyepaAJC2NKIhJDJet4gYuOT3H2BkTxiGbrU2erD9JqVRCFmSu6Fco5Uu8cvcVBFFg4k4Y22MUScEPfTKZDHWnjqEZxGLMxuEGlm7huR4L1gKVTAXf81mtry6sVFe+9K9e+VdX04Kv3zILnHGZ31k7nwZpxtFvynJ5+WcWigvXy7UyL8+9/BOHR4fUGjXqYf3v9qa9/ePZ8Y+7oVuJ4gghFpAFmb3BHrqsMxqO2O5u/53bvds/G/diebWw+osXChc+Uc/WudO+Q9WqslhY5AvHX0DpKNgzm5JaYt/fx3ZtYiFG1VTCKCSO43fCIEbdUZKjyvNYqC/w5s6bHA2OEASBjJyhoBfIWBkWigtk5AxHoyMu1i9Sr9cJnID2dpuiUaQ9aZPP5Ol2k3mqpfwSd9t3ieOYsl9mv7fPgrtAwSiga8mi7JyWw/ZtVE3l5Wsv89mbnyWn5ZivzpMr5nBtF93SCcKAg/YBQiwkxy8m8Wkje0ReznOxdJH7vfscT44xugbj8ZhyqUw0iTCyBjkr2Vdv1tvYHewWNFm7MQ2mLyuSIl+tXU2yPsj6ynMLz/11UzGfAO7cOLjxTx61FFnqfSucZeNHKfOVzl89oiVz6WVZkK84vkMQBSixQhiHdEYdWict1mvr/3renSdv5DkYHvCh5odAh8PuIf1Jn4pVeevze5//lw/3dzQ6+hvz2fmXTdnURUFkf7hPGIV8dOWjTGYTNrobNLKNpJMZHtEeJIUbqkaV1riF3tHxMh6H3UMe9B6wUlqhUWkgiRIn0xMauUYyP4bE3b27hH6IaqqM3BF+6OMFXlKDMEyS7B2OD5G7MlcWrnC5dpm3jt7C1Ewa2QaWZTGajqgUKmSMDKInki1lEcNkCc6xfUzdrBMTE0URU3eKFViEUYgXeEiixL32PWIhZjAbYHZNTMVkPB1zMDzAVE1USaWgF9jp71DIFHBDF1mQqZQruKHLcDrk6fmn1zuTzn/c7Gz+5Gg2+umr9av/mhjZtm2m4hRZln98obRArVpjsbL43E++8pP//TSapn+kz8fgrA0etVR9OmQ+o5Xsyo/9kQt/5J/uT/Y5Gh0hS0lA515/j9HxiPnsPJvdTdYr69TqNerVOvsn+zQrTS6ULtDpdcia2evff/X7/9ov3f6l/w3gieoTf3m5sKxXy1WqTjUp15XRaNabDLtDXjt6jayfZbWyykZvg7fbb/N042meWn+K1rDFzuEOFafCg8EDojjifuc+QRhQM2oMvAF+5ONFSUYDx3WY+BMqUYVZmESnx2FMGIUUzSJ5I48buazX18ln83hTj5XCSjIHNdon7+UxZIPN401WSivMN+YRAoGQENd32RvsEUcxq/lV3NDFd3067Q4zZ4bYT/Jllc1yMpnfuYsiKSyWFmlWmziBg6EZrCyu8Nt3f5v5wjwXmhco5ooMu0OOe8fc2b/DenWdUqGELMmfXKotfTIO42DsjGUrYzEajdgb7DmO5+ixEOOFHpqifeKjCx/9/l/f/fVf+KCvn29TFc7YB501H5ZDWvn5kWSMzN9EgI9e+ijLc8vcO7mXZNhceJJLlUtJ2IA3wQ1cvNAjImLiTOh0OnT6HURVRLd0Li9c/ssAc+bcj12sXvyh+co8qqiSV/Loio7kSzgTB8dzWC+us5RfYupOqZt1RERm/oypM2WhvMBTc0+RUTOYiklMTDPbRBZl3NBl4k2YeTM822M2nmGpFlcbVwG4XLqcLDz2Omx0N9AVnWq9yrUL1zjqHfFg9wFxFDPXmGOhsoAf+RT0AovVRcbuOFmULMQgQbvdpjvtMpebo1lucqVxhQulC8w15ihlS9w5ucOt1q1BZ9IJOtMOiqjQtJrvxHiJqki9UMee2UhINItNHN9hNp4xG88YOkMEBEREBFlAVmXyhXwSWZ/LyH27j23bVMtVikZxozPrsNvZ5fbWbaIo4o888Ud+/k9e+ZM/9oFePN++As64cuZRcrqnt4RnJCDIYRTSmXSwBsk6PU3R0HSNbCFJMnfYO2QaTt9JHRxHyehFDEUOR4dYhgUCCIGgCwhy0Sr+TVEQUQwFWZXxAx8/TCbKj0ZH5OQc65V1Ajmg3+7z9MLT7E322D/ZRxZlJqMJxXwRK7a4VLpEZ9bBUixKmSTGy/ZtZFFGzahkzSwlr0Qmn2HOmOP+1n1G7ggt1pj4EybuhP3WPq7ncqF6IZnIV5KsD2WzzNXqVRRJIZfNoWgK/UkfrafheA4ls0TWSuoM6paOoRg4LYdIiNAMjecWnwOwD0YHhaXCEvujfa43rlOv1rm7fxdLtihmipiqyf7RPr7rk1Ez5It5ZFWmf9RnvjjPXGWO/qjPcDwkciNiOUZBIYojJFVCUiVW51fX3zx887P3+/c/fqV8BVERkTSJ9cb6X+UO/+yDvo6+DXVInhS+b49yS1ghzel+JjFxcDg4/LNhEP5MFEWNOI5buqQ3giBg4kwggPFkzAtLL/C1na/RsTsUM0UuNS5RrVSxMhZv7L2BpVmUi+XKDz79g1/b7m43wih5VD/wBpSNMherF2mNWrgzl1q9hqqpfPnel6noFWRD5mrhKq1ei1vHt/jw4odpTVpMR1O6sy4LuQUW5xbRJI3upEtGzTByR0m5LEFKnvpJEZIkIYoi7WmbulXHVE0MxeDe8T1WCitY+WTdYfekyyAaMJ1OmW/Moys6/X6f5fwytw5ucTA64GL5IkpFwdItxpMxY3uML/uMZiP8jo8iKhRrRURfXFAkhTFjpHGyEHzgDjgeHlOaK2EVLabxlGgSsZ5bTxISOjP6Th8AVVfJ5ZMI+QdHD1gsLJLTcmy1tpyt/pauyRoKCrIg639k7Y+8/KD7gJEzotPvEIcx7X574wO+hL5dOZzz0pwzl5ZOJUbB6LP2wL66OdwsfGzxY1+9Xr1OtVQlcAO229v7d9p3KkW9uN+f9X9alMUfN1RDdn0XP/SRNRlZkInFmO3eNsfj4+uXKpeol+v07T69YY9Ks8IoGmFpFpqosdPZQYxEBFFgMBtQsAvYro0qqoiSyNSdst/ZZzm3TH/Wp27VCeIAVVSRJZnn1p7jC3e/gNgSyWk5HvQesOAuMB6PedB9wGJukbyRJzvLvpM8b+SMGNtjQj1kMB2wf7RPySyRK+WIxRjHc+iOugiCgO3bjNxk+8iPOBwdEg2T1Dg9t4cwFKhZNay8ha7oZLIZIjt6Jz/XRm+DqT9lNBmhGRr3j+5zqX6JYqVILpvj9u5tBt4Ax3Uo22UURSGMQq6vXUcTNCIilivL+v5wH13TyRVzeJ5Hu9uW18prKLJCz+9xc+fmW28evfkDH/T1823KAs70x+CsHZZNOuH+yCKiQUktvRhGYSWIAwRVwFRNGm4j+Lm3fs4g+TyCS8VLf6wz67xYHBaTnFeRQHfWpTApcKdzhyAMqGfqnIxOIIKxO+a4f5wsHK4v06g1UE9U/MBnqbzEqzuvstfeozvrokkai9lF7rXvIYgC/VmSbbMz6aAda6iKSnfSJZvN8j3Xv4eT9gmarHGtdg3ZkikZJfZGe2S1LIVygXgYY6gGz64/y5fvfTmJrJeNdybsW3YL/UQno2ZoT9r0nT5LhSU0WeN+9z5hFGKpVpKCWRERPZHLFy6jSRr9Xh9VUnEmDpIhkTWzXCxf5I3WG2S1LHEcs9ndZOSMGEwH2DMbY2IgBknpsGa2ybF/zMbJBv1xH13RUTNqsqyJCHfmvlNybDKb0B61GbkjFElhrjzHvDbPTmvnb7fcVhra8PtE2mF9i7mhuz/xJs5oOtKNnoEQCUyd6cNfiEATtUbOyL0YhRHtSRsjYyAgcLl6mUq+giIpfO3wazzoP0gm1ReWcEWXGzs3WMmtJOlhhBhTN4mkiFwux4vii9zav4UXeqyX1pkrzSHIAgW1gGIoKCOFnfYOsRATE3M8OkaVVDJahpJZQs2o7yzHOY1lwlKS7AZjZ0xWzNLUmnzvU9/LUfuIg8EBTavJlbkr3D24S3fWJWNkGDtjrtevUyvV8FwPJBh7Y/zIp1QokbNyzMYzXNtFNESQQJRFVE2l0+1ABPO5eSIpYre3S0krkTfySbkwYKe3k0Tzqzpu5GIoBt/9xHdz2D1Ej3UkSaLdbicpaeIIURQJCNjsbOJ6LnvDPZzQoZFroFs6qqRytXb1l5vZ5s/+33f/7x9JA0ofuwLnPOme+iZNgslbe4O9/zmMwn/amXTkrJa19/p7f+/hzw3ZuBKEAXEcM5+bxxANHpw84GrzKuNojOu7vHzxZeyZTddOsiys1laTxH6DfbInWZypQ3/SxzItDD1ZlnI0PUKRFDRVQzIlBrMBFaPCXHmO1foqc+YcfuSzN9rDUi2QSebBQhUPD0TQNR0za7I6WGUwG+BMHOpGnc6kQ7lfxtIsluvLjIMx2/1trqnX+M7r3wk+jMMxtm+DCIqhoJka1sTiQuUCB70Dev0eRBD6IflSntiL6Qw6hHFI4AXcbd2lkqlQMAsU1SITY8LB4AAEWG+usz6/zoPWA4IgwFRNMkoyopsdzFBEhfp8nayZZTqYcjQ84mh0RETEhxc+jBd4hEFIIVtg42SD4WxIbpxDERVCQi4uX/zBP1f4c+s//eWf/q6003qsWpxzPqyHOZjTqjnfhK7X/T/6nf4v3OneWZcFuWVIRuH7Vr/vX+SNvHwwOGgN/SG6pHOvfQ9FUZJio9Mhe0d7XCxfJFfIUSwU2Xt7j6P2EcEsIK/msS2boT9kNpyx0dngQvECoReSs3J8uPlhvrL/FYbTIXknTxAF9CY9MsMMmqTh+A79WZ9LpUvYoY3rugx7QzRRIyZmNp6h6ApqpKIrOrkoR7FUxCyYBHsBGStDsVjEs72kA4i/vsBa0ATaO23cwMV2bIbjIT27hy7paBmNS9lLvHrnVTqjDlkji6zLSIFEa9yiNWoxcAfEcUzWzLIz2KFqVTkYH9DMNVkoLmBKJpEXMZ+d56u7X0WXda5Vr3G3fZfupMuF4gV83yeMk7Q0C7UFpsKUW3u3CKOQglYgJqagFrhYushWfws/9HF8h8XSIjN3RjFXfHE+N7/Q6/bSCfjHpwFcP0uDR5l0T0dlj0FENIji6FUEKpfrl79woXqhUK/WuexdZudkB8mUkASJ1zZfww98dno7TIOkvLw9s9FlnWkwpaE0KJaL1IQauV4uyf7p9GlaTYAkd3sQJwuaq9fQMzoHJwcYksHdzl28wMNQDKbBlIyaQbd05vJzHB0fMZgOyOfzCKHAneM75I08s8mM7f42VbOK53v0nT4zf4bjJnNBfuiTIcO+v09/2sfsm0kYg6xxcf4id/fuMnEnHE+OuVC8gDkyMVSDS4uXeGXzFeyRjR8kcVsXKxf5ws4XKBtlLjUvUSvXeOPBGxiywfdc/h52O7uYWrIw3J/4ZPIZVuwVsmaWaqWKKyQBqM1Kk4yWod/pE8YhuqJT0Sq8tP4StUoNIRD4t6/823+cN/N/5Wr9Kh7JOelMO8iCjKqoBF7AYJZW1DkH5xrWcItHCKdPvTdDMlYkpIIf+knJKl0hiiIycYZitshibpHuNJksnwUzdge7qLJKRskgICQFUaMASZYI/IA3W29SNIp0Zh2yUZa5/BxGweD44Jjrzes0a03Essjx+JjpxhRLs+hMOwiCQOiEuK7L1JmioKBJGrIsI6syz6w/w40HN5I5p9DnYHRARs0QC0lnaPUsfM/HMi2uzl8FAe517+F4Dn23Tz1TZ74yz4srL7Lb22UuN8f97n2iKMJQjCTv+sLzDLwBgRNQKpWYzqbM5+YZzobMpjMO4gOESMDIGBRLRbzAw/Ed/NAnFEIczyGKIoIoICJiq7fFnJnM1x2MDoiciJyRAxFyVo6T/gme7yEEAgLCT4+98Y+2Ri3dDVxMy0QgicQXZRFZkVkuLl/fm+59/oO+Zr6NPCxq876dtcN66hHapL6BIArsvtO3u3bXUtoKuqjjRz6GbqDrOguFBbb6WyiiwlJhCS/wsAyLUrHE85nnubl/E6klYSgGlXIFoS3QmXbwY5+ZP8MPfabelJk/w3Zs7ImNIii8sfUGy8VlVhorLLHEG5tvcDI5weyY2LaNLMk0m01MxWQwGGDoBvVcnc3eJgWtgCRJ7E/2WbKWeGL+CW7u3UTTNBr5BpEfocs6OT2HpmisFdfY6+3htTwgGQFebVxlqbmEEAjc2LnB0BlycfEizsTBUi1UQ8XQDRadRUzZpFqssjvYxfZsHMdhOk0qQreHbeIoyU4axAG32rdYKawQRklohRqrGB2Dg/4BV+euki/nid2Yo94RW50tfN9Hk7WgO+1uTMPpf+8G7i8W9EJh5s4YukP6kz56X0eKJWb+LJ2/erzucMZap49SlzDtsB6jiMiWJMkKogBd0ykVSkREBGEAAuTMXOCGrjP1p1Y8iJOsDZMRlm6hSRofuvAh3tx8k6JVJOtkyak5Wm6Lullnb7TH3mCPuXAORVTY7G7iBz7FTBEndN7J2FCwCiwXl1FEhfnCPLlMjt6oR3fYpRt2MQSD/YN9SvkSH8p+iM/f/jxrpTWWrCWIQM/r3D+5T+AHDLtDJEHiyD7C9V16UY9SpsSzS88SRzGyJvO5W59jr7fHXDCHF3oc2ofIoszh8SH3e/dZK62hdlUMxaBaqTJ0hsiaTN7KE7gBhmagCArj2Zi3jt/C6lsYisHF2kWeXnyaV7deZau/RcNsMHSHvLH/BoZiYM9sskEWQpi4EwBkU2auOid/d/Ddf+21nddeNTVTn/rTpL3VABm6dhfXdX/2tZPXXvmAL5dvNwXOuWpOgTSs4bHKKtnrURy9kwU0FmI0TaM1aBGFEQTYGSXjuJFrPVznJ4kSqqliqAazkxnL5WUM2SCTy/C88Ty/evNXCcIAUzbpT/sYisGLqy9iT22sgkXJLPGg84AT+yQJDM3kGDkjAPSMjpkzCaOQ13Ze40r9CvlqnpyXw41djgfHFPQCPb/HyckJlmKxoq3QKDRQBAUjY5DL5rgWX+NwcIiu6Gx1tihOilxauYSpmnz3le/mQesBJ5MT+k6fJ2pPMFef483dNxm7Y+627zL1psyV55LQB3fMcDhkb7iHHulIioSsy8wV5vgOvoPBbMBGf4PtzjZls8zza89zY/cGqqzyHfPfQTab5T+/+Z/Z7+8TBAGWYbG2tMZ0Y4ohGkRRRBRHP36lfoX2pM2T9SeRJRnHd5irzlHIFRj0Bk9z+wO+WL79nHvl54fZGlLfJE3UKt+7+r1fWi4tr/Rnfe517lEYFAiCADES2e5usywuM2fNFRZyC7ihiyqp7A536U17WEMLT0+eyBVzRTRZI4xCZCXJArHZ30QSJEzFTAIjvQk5PcfUntJzezy98jSfffuzxOOYollkvjnP1+5/jdF4hO3ZdHodpv4UJ3A46h8huknG0G6/y0J+gVqhxk5/h9FsRHvUpjPqoGSSMIAgCvBjH1FKUsc8v/o8w/GQk/YJWS3LYDrAVEyauSatUSuJ5o9kFkuL1LU67Wk7mZdyQzqzDr1pj4JeYDadMY2ndHrJkhnP9TB1k5WFFdbH68RaTFbJsnu0i6VayaJnNVn0nNWyZI0stXoNS7E4ah1hqRadYYexPeZ+5z7NTJOSWaKUK1GtVGm32/QHfWRJZupM0zuLx0/njKtn0jJfHwABQX6i9sTNarbasAoWdzp3mPgTHnQfsCqvcnXxKs+qz5LJZXCmDlktiz22mc/Ps9BY4Mv3vowXehSNIk7gsCwvI+kS9sgmjEKuNa4REXE4PsRSLWrZGhklw05nh5EzYn1hnZySYzm/TMksYagGpm5imAY73R1mwYzV0ioBAVvdLfJanrW5NYr5IuvROmEUks1luSxfZhJOKBVKlHolvrbxNcwTk6k5Za+3x9Adcrl6GTNrksvl2D3YRbd0do92mcvOocgK6/V1vrT5Jex9m6JR5ELzAsFRQCPboFFr4M98EKBRblC0irx99DYHgwO8yOPiwkV8xwcJ8rk8E3eCpEjJk0BJpzPtUOqVmMwmuJ5LsVR8Z8SnRArLC8tEXsR+e59nm8+y0d1AFuV3ot91TeeNvTfo2b3WG4dvpMtzHj+HMz7Ee5RI93SE9U1SRKUSxmHFCz1sN3mMr0kac7k5arkaB+0DTNEkmAY4M4fV+VUW3UV22jsEs4CKWeF4eszAHVA1q8i6jJEzkvgnISRrZflY/mP8xxv/kYPRAV7gsVxKSnzl1BzT8ZSbnZtIokS1UiVrZhkPxswb80wzU24fJJVpnl18ljf330RCYubMyGQySKKEFyVl7lVD5ejwCE3VyApZnlh+gju7d8g5OY6GR6iSysybMXWnKEKSsng4GpJRMuiKjpEzuLdzjyfqT5A1s9w/vs8kmHBin1C1qsRijJk1UcYKdmjTHrd5ZukZdFnHiRwQQRRE+oM+YihimiZvPHiDkl7i6QtP86D9gPvt+6yWVxFEgdawRRRFHAwPWMwvEgsxuqm/U15subTMa/uvkVEzBH6QpKvJNt/6t7f+7UeDOEizlJyPxlk2PmuHtUIa1vBNC6JgMPNn+51JZ8UNXIbukJyaY6e/w8AZ0LAaFBeK5MwccZQUODVlk/A4ZLe1S8NqMA2mjNzTRcfjEbIk4/kefuwjBAKqrPLfPf3fEUQBg8GAZr3JFf8Kn3njM/iBjxM7VPQKjudgmkk+rGP7mLJVJq/l2eptsRAsUNJL7I/3yXSTX+LOuJMs/wljdElnMB0wO5yhazouLs1ck+XmMrIqY2HRyDfAgYPhATExpUIpeeLX2uVB6wGu7yZR70WLpXCJ3rjHNEhqJOo9HTEWORmd0DnpMG/NoxgKpmnidl3G/TGO67DT36Geq5MtZTkeHVM2y+imzpMrT7LV3kKVVT689mG2TrboT/r0Jj1MyURtqxiSkRTTyGW427vLE/UnsPIWUizhTl1iIf7suzurOX3uylNzT/1wf9b/T68cvfL5D/Ay+nYQcM453bcfoU3qvxAROYIg6CfjE2JilqpLHHePg7yWt4fO0DIVU7ZtG0mQmLpTRp0REhKL5UXswGZvuMfFykVuH9+mZbewNAtd0jE1E1VQyRVyuCMXL/Lwp36SiC9IKtBUM1Xyep7OtMORfYTe1nGnLsTgBR7D6ZDn155HVmV6gx5f3vwyNbOWJP6LplgFizv7SRBptVzlidwTfG3za3SnXYI4KSJh9S3smU3ezKNlNTJaho7dYeJOCOMQwzAIooCD/gGKqDCajDBMA4Dbx7dZKCxwODlk5IySajezHogwUkYMh8OkQnQUkS/lyTgZXj94HUMxMPrGO9kc9IFOQMCTtScpaAVCL2Qtv0Y+m2f6YMrB6AArY6FbOoqo4IUenXGHYqn4zm2yZ3iosvpjxdvFv9EP+k5JLX3iw4sf/r9WSiuyLMt/bbW0+tnutPtzX9n/yi/0/X46VXJ2DudcSDWNdH9MhrPhPyoWiv+wYlbIKBmG0vBHPr/3+U+vl9bvz3qziiRIFOwC+6N9wjDkUvUS1VqVj+Q+wm++/ZtstDcom2WyWpaiUUQzNKychT/1sUc2QijQH/Q5sU/QJI3t/W3akzaX6pfQTZ3uVpdnl58llELEOHlS+J3z38mDnQfYU5uKXkFFZTG/yEp5JclBLylkchne3nubKI7eKWrxzOoz+F4STHqvdY+dwQ4n9gmWaDG2xxBBEAR0Jh0y7Qyu5TJ1p4gkebWMvoE9tREFkScbT9JsNNE0jV//2q8n0fzZBmEUsjtIqjNntSx5M4+RM5BlmXqhzkZ3g4k3oZatsdXfYuSMiIWYy3OXKZfKzOwZh8NDimoRWZZZL6+zWF0km8nS7/TpdDvosk5r3EKRFTRRw8yY2FObZ+ef/fkL5Qvre6O9hqmYsmmaaJJG1sp+/Jpy7eO6qsv/4e5/+Jf/9U899V+ocM5lvnTSUvXf0NXi1b/+/OLzf1WV1Rtvt97+279z+Dv/f7E7AoJc0Ar5y9XL1HI1TkYnn795fPOXojiygyj44lJ+6VPVQpX5+jz1WZ3fuPUbTNwJk9kETdB46fJL3N65PbjXu1eYL8zTbDRRBTUJpnQDrKJF7MQ4fYdmrkmpUOKge5B0MsT4cZKdVBRE6qU64SzExwcRTM3kqH/EbDrjZHpCQSswmo5QZZV6tU7sxTi+Q2/SQ+tomJqJlbUwTIPj3WMWcgtUs1XmrXlundxCEAQs1SKKIzqTDn7osygusj3YZrmwzEJ+AT2jc//4PkvWEjkjh4KC53hca17j9aPX6c66yIJMzaqxXFnm9vFtnNBBEARUQeXKwhUcz0FCYqGwgFgQ+erhV7EUCz/wcQMXQRBQYoWZPcPzPAqlAnIsMxlO6Nt9trpbLOWW6Ew7g7eP3i6UzTK5WY6j8ZG8Ulz5VK6YYzaYkSMHEpg5k9lkRizFNLKNPw6kHdbZdYDjszR4lKeE6QjrPRTUwktzhbm/n8/mqVfrH5+vzT/9O4e/U/0vt1NEpVLL1v6WH/pJcYVM+eUfeu6Htr6w+YXv2R5uf6av9T9VmVTodXvs9/ZRZZW9wR7EoCs6mqzRnXT/kSRIP+6HvhwLMaIq0j/pI8oimqchiiIlq0SxVCRyI3L5HBk7Q3/cJ0+ek+kJuV4uCQ1QTURB5Ng+TuoAFnPIkgwTKGVLSdWZsUtEhKIrfHT9o3z1wVexXZuCUWBJXEIMRZzQoSSVyOVyVMoVSlYJ0RA56Z7QHXZRZZVypkxezXO9fp2brZuUzTLL2jKqmKRiLlQKCIHAbDzDkAwuli7yxsEbKKpCECZPLS9VLtGsJ/nnd1u7HJ8c89TiU6iSihd7GIZBbVjjYHjATnsHZ+YQRmEyzya5yWegKeimTuRHdCddalaNrJnFE7zCSnmFUq6EG7hsDJKR2/7mPnEUM3bHjMfJqHFqT0GErc7WZ77lF9u3hwB49iwNztr57JDWJXxPqqQuOL6D4zq4vouAUHiy/OSVm92bd9693UJ24ZMzf8bmYJOrlavkyjlUUa182PvwL9at+i/5se+YmqmrisqRfcS16jXMvInjOWTCDKqiUjALP971unJ/2ifTSQpJuKFLvVhHERQOjw9RdAVE6Pt9jo6PuLp4FVVV2d7fppap8aD7AE3VaDabuBOX/fY+lmaRE3Ps9nbJ6TlMwyQOYkRR5KR9giqpmILJx5/4OJvdTTqDDrVpjUqpQtEoktWzKKKCa7vks3l812e+NM9ScYnXdl5jf7iPpCRPGsMo5GB8gBsmnYjru3h+Mtc2dsbJscg5Prr8UV7de5VxNEb0RJrZZjK6UlUaVgNZkRE1EUMz8IYeR8MjMnKG77r2XYy9MY7tcOfkDpcrl0EG27MZT8ZYWYvIifAjH8dxMAyDwWRAs9DEyBp02110Uac9aXOxchFLt5i6U/KZPKqk8vrx63eGzvDTb7bfTEdXj+ZMubDg7B3WC8CnSW8Lf09Dd/jFsTd2Js5Ebx+3mXmzG/9lZ1VSS5+8Ur3yLwIC2uM2tmvjeA4oIIvy+jMXn/nrQiDg4GDoBm7kJtHqhkFZLRMJEcVCkZyXk69IV5B0iZE/YjabIYpJkKSoiDiBw3CQVIx54+ANGmaDWErmnJZryzTnmnzu5udQRZW3d96mO+5ypXblnds++9BGMzVERUQ1VOIgJgoiutMuK80VjvpHCL5AEAXEQkzP7THzZqhlFcVQUBU16RQyFpEYEXkRa+U13NBleWEZVVJZNBf56sFX6c66rBZWsXSLjYMNMlKGWrGW5HQvFXEDl+eN53lr8y1s36ZttzFODAw1ie7PZDIM+8kC6f6oz5F9BBG4U5dGvoEruLSdNtv9bebCOfzQ5177HkEUkNfzNLNNerMevXGPkTOiN+yh6zpbx1vM5+cZzAZYGYtapYY/9QmVEEM1KGfKP/fZnc/+fz6o6+3bgMw5T7rv8wi94h8Whmysz2XngkapQTFfZDgaykvmUmN3utsCeKL0xKfyZv7HwyjkQvVCMu/TP0Y70pAF+Z0OJ5Zijg+Tx/PfsfAdtMYtNEkjk8kwtadMnAlv7b/FpdIlFsuLZNQMvuMjyRLdQRdHcehP++yP9ulNe7iey2FwiKmZ+BmfKIrIFrLUs3VUUaVRaNCzewRRACKopspH1j6SJAnsdYnCCDEWKWaLTHoTToYnPGg/oGk1GXtjunaXgligM+lQH9fRVA0hENAzOnEUMxgMCPyA/rSfhFkMByiCQkbPoGs6E3+CIikIisDR+IhL5UuoGRVd1pmMJziBQz1Xp5VpIc0k7nXuMZwNKZklLioXEREZjAd07A7b/W0kUeJC6QKFfAFDN+j2u9T0GlkxixM47yzInp+bJ2fkGA6GIJI83Fi4RGvQYv9on4kzeThSZubOcAOXKIoYD8f4uk932k1zY31zdM550r1DGun+nnJ67o+Lgmj5kU8kRFi69fQPPP8De4f9w3/2W1u/ZX9k6SN/SzVVXt9+naJdZC4zh5yREXSBt/bfYt6axxpa3Dy8yZK1hFW0qKpVxhvjd0pRqZJKr9NDkzQORgeoskqj1EARFVRDJepGHNvHVDNVCkaB+737jP1kzmW3t5tk1jQL3Lh/g7XqGjkrhyiKNCtNuuMuWldDRSVbylK36rxx7w364z71Qh3Xc2mNW6xqq/RmPapmlQvFC2z3tqm6Vcq5Mvfa9xhMB5QyJeateWRNxgosZEnm7fbbTLwJXuixUFogl8tR1ao4rkN32iU3zDF2xvTtPkJbIKfmGE/GmLqJP/FRJZWiWWTmz5JlPXaL3qCH7/gUi0X6Tp+MlmEWzojjOFmbKcZk9AxhHOKJHpEd4QVekvVh5qBKycOKcr6MqZpEYpTEeYUuL62/hB/4fHHziziug91PRsM7/R3iOP6Vm0c3P/tBX3N/wJ056uCsHdaZ89f8YTKYDX6uNW79lZyWS+Z9EKnUKvLl/OUfbU/aehRH1Io1nhKe4q2tt9gf7NPMN8nEGapGFU3WIISZO2OsjLEnNiIiMTGdXgdiCKYBkRDxsasf4wu3voAiKeiZZCK+1+4lyetq1SS+aTwiV8jx+ubrzPwZ5UyZZrVJGIeIffGd271gFtDMNvmN3d9g5IyoZCrUxBoZLcOJfcLIGb2z6HrsjQFYq6+x095BFEVkWcYJHK7Wr6Iuqnzu1ucI4gC9q6PLSVZR0zS5WL7I2BujSRp5Pc9b228lUeZy0kFsdDYoaaV3CkRoeY1cJoeHR8bIsBQs8aD9gJpVQ5M1LhQvkNWylPNl4iCmpJfoTroYisHR+IhMN8PMntEZdzBUg6JVZOdkB0M22OptIQkSRi8pmLGcX0YxFMaDMbutXRZyCxhZg7yY58roChk9Q76cpxSV+O3N3/6zb3bf/IWYOJ3P/ea0OGPg6FkrP+tnfYE/TEb+6NXt/vafv3Nyx759dJu23WY0GTFzZrobuIP2pE23203imwqLnExPePv4bTY7m/SdPnk9mcxdKa5QtaqMh2O297a52brJneM73N27y1ZvCz/ykUSJaTilN+0xtpOafr1Jj4mTjGBiMUkd8/bB25TN8juT3LEYU8gXmPgTRvaI4WhIf9jn4OSAq7Wr75SC3znZYTgb8sziMxiagaAKrM2tQQz7vX1KUolrtWtM/Sl5Lc/J5IT9zj5vbr7JWnGNk9kJW50t9rp72HZyaxlEASNnRDFfJFvM8uzKs4RRiBd5XK5dxtRN1iprXJq7RNEoIkgCsi4TzkIc10GSJVbnVzkcH9Kb9fAjn4yVwbAMYmIazWSVx1p1je944jsQdRFXcFlcWOR4fEzkRMRxzMybsVhZpFKpEAgB7UmbwWBAf9hn5sx4ZukZKtlKshB8YrNQXcDxkwcpISG6om+kndVj0eGcE/gdkN4SfkOSKNlrlTXLiRxa42TtmiiIG68fvP4Dc7m5Lzm+40z8iVwxK7oma1iKxc5gh/XKOvl8nlKhhK7oRGpE1kjW+O3Ze2y2N5n6UyIiBEFAV5O85ZvdTcIoZK40RzlX5tbBLRp+IxmNRQEr2RVm/gxREDmxTyj0C7jTJPPDveN7NKdNmuUm7WmbK7UrKJbC7Z3bFIwCGTnD1JmyXFymlq+R1bO8sPwCd9t3k1Jfapa10hqbvU3WS+vJRL87pKgX+dj6x8iZOW7v3GbzeDMJx1A1iGHqTMl4GYjhQ/MfYibN+PKdL4OQpJIZn4xZqC4gemKSQE/XEUMRFDBVE0ESOJkmAbF+dJqrXRIYOaOkvFjgoSkaC4UFOoMO4/6Yo/ERE2+CJEk0rAar9VVM3URwBYIgIJfJISMziSYUM0UUUWFjZwNEWGou0Z/2iY9iiOkcjY7SP9qPh84Z+5NHyThaIK38/J4KZuH/GYQBl+YuIcgCs+EMP/Bba8U15/X268ad3p1CSS19cpqf/t2KUVnYHe4GmqrJYRQyc06X0AgxruuiKUkBiD/6xB9FeVsJ7h3f64iS2JAlGUM3mM/M86D7gGquSrVcRREUtK7G4eQw6WgKy9ieTS1bozFrkNEyRHLExJ2wlFsiLibpWPKlPBW7wtgZUyqXyOk53MilY3eo5+uoioppmkkBVM/mcvkyTuhwPDqmYBS4UrmCH/k8tfYUx+Nj3tp+C1EQGWkj2nYbTdY4HB1ysXKRy43LSbzUxEMWZQRJIGfmePHqi3z2zc9yr3OPy5XLSKqEbur4PR/kZJHzqD3Cx0dBwQ7s5LavkzxweFi6azAb0Bl3EAURWZA5mhxxoXyBvJGnP+ujy3qyZnJQxqgYWLrFaDZC0RUyWobJbMJwPEQVVYbOEEuzODg6QJaTucaCVOjsTnfTDuvxOHP2l7N2WHfO+gJ/2Ey96RdbduvlfD9PPpPH0A0WygsvlQvlX9z+4vYzPb/X6Xrdn+q1e78kCqJV1sqfUGTlX8dxDAFMB1NORic4gcNoOEJVVARZwJKt/21zvPk31opr/5cXeJ+MhAhd1fFCj6PBEQoKOTPHpfolnNDh1Y1Xude5x8XyRSI9yWDazDep1+qIoZg8qdMVLNPCczxUISmg2p/1mXgTpv6UuewckihR0AsIkUDba+P7PtlqlqbeRD1KqkhfKF5g2B8SRmEycolMTqYn1Oo1BsGA3rBHRFIH0MybmKqZdMiqRue4w9gZIyOjKAoTd5LkvxoXEGKB9riN4igQwd32XRpWAy/yuFa5Rq6QY6+zh6EYNEoN+uM+Tzae5Gh4hB/65LQcC7kFpv6UpfwSVavKvfY98loeQRRQdAVDN2gP24zGI6IgomN3GHfHaHLyUENERBZlViurlPUykR9d+dSlT/2VT9/79D/+oK+1bwMLwOQsDc7aYQ1JA0e/oUP78O8FQdCYebMfbGab+lpjDS/00BTtSj1Tb/QGvW2AmNhu6s2FhcJCkDWS9YBW3iKfzTMLZmwcbTAXz7FWWkOTNAzFePFPXP4Tv2j79sePxkfkO3kKmQKmaqKIClbOIpfLMe6N2T/Z50rtCg/6D7BdG2Ws0Hf6DCdDtIGGGIlJArzAIyLCcRycqYMkSOS0XDK/Nj5h6k8pUCBbyqJJGvfu30tuwwIfP/aRBInWsJWMwDST4/4x3swja2axHZvZZEZRKdJcanLv4B5ZNctkOGFCEsbgui4DfwAu1At1rlWu4Qc+i9VFHN9ht7XLiXOC67hJPvvY42Ry8s66xopZYeXKCvbIxsyaGLrBYDbgQv0CO8c75LQk20UQBFQKFTRBo1au8YU7X8B2bAajAYZs0J126U67lDIlKpmkWG0gBBT0AkvlJfYme9xr32PiTbg6f5UPr3/47984uPGz25PtNB7xm2MDl8/S4Kwd1jLpCOsbiomdY+f4R+zA/kch4c28kZdVQSUMw/3jyfE7t9KmZF5/av6pL12sX7R0Q+f23u0kkj3KkFEziLGIKqkgk6QDLs29jAJ39u4wmA5o2S1iOWa5usxwOGQym6AbevIon5hioUhTanJ37y4AsiCz0dnAdpISYU7gYGkW/synY3fwYo9Lc5fIWlluPLjBQmGBYr7IxE6S30VSRNEoUilUiIKIo8MjtvvblI1ysvDatOhNerTHbWqZGvvDfXYGO9StOoeTQ+ZycxTKBUzNxHM8ZFlmY2+D3eEul2qX0LM621vbLGWXiOU4KdKarbM6v8rv3P8dZFHmYysf4wubXyCv5jkcHQJgKRYREZImIfgChmGgyAqmmpT/QoL9rX3yVh5FVWgfJHN1x5NjvNbpgwhiitkioRgy82c0ig0m3oS7x3fJT/OsFdYQcgLFShExEAmjUG/mmle2J9tf/GCusm8bMkkGmDM1OIszLVT8w2waTDeCOLihyupzuVIOQzEWvm/yfX/z5976ub8NMJef+4eGYliyJpO1siiawmH7EGfqIMYitmvTmXbI9DK4mpvkveqP0GSNaqbKUmkJy7KYTWfctm+jSEqSGQGYeBMcz+F4cMxifpFqpcqT608SOAFhHNLutWnZLUqZElbWYne0iyZqhIRMggkzf4YgJ7dMBbnAvb17hFFI3sqjmiqKoDCLZky6ExRHYTKbIIkSIiI9Oylj/+zSswxmA1rDFu1JG0u0mDiTpHSWHyJpEl7okVWzCLHAdDZl6k8ZOAN27+1yvXGdfCkpOiFFErEYE4ohAgJ5PY8sybiBy63jWxSN4jtBnbN4RkkvMVeZQ4gE3jx6E1VUEVURNaNSyBUwFIMrK1eYjqd89vZnUSUVSZSY+TMuNS6RyWcwXIMn5p7gaztfC7Z72/JqeRVREQmcANu1N95uv33jg7y+vo0UzrLxWTusDEkSv3Qo/F8REweyJC94gcdkMkHOyRTN4ieeqjz1c2903rjj+u6d7rT7ieIoSXdS1aps29v0p/2gbbf//O5ol5Ez+vue7y0gkGQjzdTY6G2wVFqiVqoRBRFOnAQ/ynJSliurZjm5dcJx75jRZIRu6kiBhOu6TMaTJP/WQnKbE8cxN/duMp+dp1aqMZ1MGQ1HDGYDBuMBkiQlaWqmfQ7tQ9ajdXRNRxVVTN2kZJbQY53YjenP+kRE1Kwahm6QLWXJh3myShZE2B/tUzALWKqFGIkcHR4x9acsV5bJ5/MM+gMuFy9z6+QWuqzjhi5BHCBKIl7oMXWmCHmBufIct/dvc6FwgWqhykv5lzjoH6BndXaOdhh7Y2qZGqqh0hl2GI6GABR6SU6sk/4JeSP/sON0Zt5sI5fNXd8f7mPIBhMn6ewJYK44R3fUlfOZPNNwSmvQCu617v3S3mDvbwyDYZqB9JsXcM6T7hbpHNb7NpgOfnZ/uP/XVEllMp5QrVSf+xOlP/HV7m92F48nx/+ooBf+gjEwLC/08FzPHs6G/+BwdPhL25PtOwBVsfrnylZ5YeQkZb3ylTzj1jhZvyfH2I5NEAbEcUxGSW4jXc9lpbLC20dvUzEq9L0+YSfEHJgMnAFr1TUiIurFOnsne0ngpyK/M5rafrCNqZnc79xPJsBnPYI4YOpPedB9QBiFVHIVhFhgwVxAV3TylTwn/ROGvSFLjSUs08JxHOIgxtAMKpkKvUmPmDgJVtVURp0RtmsTxAGvPXiN5fwyl5Yv0Sg0+Mydz3AyOkGIBSQkJsGEUlQCESzDopltUi1UmavOMeqPqFpVur0kYLQ76zKajhjbY3Y7uyzkF7g/uM9Ge4OlcAlBFLh3co/6tM7l+cv6d69/9/W90R55Pc/B+IC93h5hECKLMh5JCuv54jzr9XWEQJBNyVy/3rz+N//9W//+L06jafq78M2ROee6hDbpHNb7dmQf/R3P95wwCv/WxdpFanKNOIitglGoCLLww+vldetC8wKVQoWDo4NAldX/5YWVF/7m2B3/0r+58W/+vCIp1yfehCiOECQBRCjny4xmI/bu7rGcX6ZQKlDqlyiYheRWbTKj2WhSr9Z5sPuAZ+afQZZlOicdHgweYAyMpJPyZQ7GB2S1bJLx0zDAh1kwYz47j6mYIEOj3uDG7o0kXY1RomgVyWfznHRPWJpfSubDHAcf/53jFCQBd+oyDabM1+aZtWeEcVLYVO/p6JJOs9Hk1sktttpbOL6DpCS3fZIucaF4gaXSEpVyhdloRiPTeKeSjyiLtOwWmqwR+RF5I4+u61TFKoPpgLlsUlF64k04nhwzn5vnheUXUAQFVVUJ3ICyUaZeT9ZRjiYj8moeVVaZL84jaiKT0YQZM3bbu/9s4A5+rDKuIEsycRBTr9afMzTjuU+Gn9z5d7f+Xbrw+Zsz4JxHWM8BP3fGNn9oRUR21+3+vWbY/DEplgqj7gjHd/a7025HUqTJyBnhOA6D6YDxbFyYq8xhaAYlofSDT1Sf+N/92O+4gdvozrrkh3kkQSJDhjvDOxDDYm6RwWzwzshF0ZWknp7nEIVJZgWza5LVs5yMTrhQvcDJ6IRpa4ooinx48cNs9jd50H2Q1OArzWEqJkfDI5aKS5QzZfSMzofqH+Jzo8+xP9pHkzV2u7vk9TxTZ4pkSoxGI04GJwxmA8y2iWM6dEddmvUmGycbCILAS5deYn+4z4PjB6zWVilQYD47z/YgWazcGXaQRInepIcTOCCBIAlsD7dZraxiaAZ3Du8QxiHzpXk64w5LpSU6TgfXdVksL9KsNNk52iGv5dkf7hPGIQ96D/ACj7XmGpZoEasxy8Vler0eba/NXn+PS41LVEoVxqMxrV6LUrFEuVimptV+tOf12OvvOYejw6CRbVjxJKagFVitrv74Dz39Q/M/deOn/uIHfZ39AVbgnOsS3iANGj0TXdJXKmZFtwyLSq3CoDcIFvOLn1JltXU0PhoYslGwj2zms/MIqoCsyUwGE1ZKK78miqLlBm4y0Z6voms6hmRQyVf4rfu/RWvcIhckRVC7gy6SKBG50Tu50I8mR7iBS1bPEoYhC8UFojhKbo+sJTJyhpJRIiNmWF9eJ6tnk4o2VpLnPZPL0Ov0UESFgl7AdmyK+SIDd8BB/wBJlMjpOVqjFs1Ck1Ew4kHnAUWzSG/SI4xDdgY7NK0miPDk8pNMhhNEMZmcn6/NJ0kBRYWCkSTuy+k5bh/dpjfqMfNneK6HWlPJZrM8IT5Bb9jjweABRaOIKItsHGxwsXQRTdOQYolypoyiKsTEDJwBFbOCpmnkc3liPyYQAnp2Dz/w2epuEcdxUgOREEM32B/tI4hCkk2UWF6sL7LeXNd/5Y1f+ZXdwe4nSmaJRq6BmTfl9ez6X1jfXP87G6ON9Hfi0Ticc4e1QjKPlU66v08ZNXPdCz09IiKIAtpOe+XF1Rf/dd7KBzsnO62bRzcLgpik+rW6Fp7hEcURk2BirZZXac1ayJ6MlbFQFAXP9iCAgl7AjVwCArJGlvud+4RxyIWFC2TcDG2/TbabZb22jpJR+MLtL9BzesmEtKiS0TJkzSzP1Z/jzQdv0u/1ifMxQRygCRqzcEYwCoiJ2entoMs61xavUcvVyM/yBLOA/qxPwSwwl5/Dylq8PP8yoRPiCR6vb7/Og94DgiigM+1g9SxiP0aIBGQheT9f3fwqY2dMXssz8Sbks3kKaoGlwhI7vR0QQREUev1e8lTQdRlHY3Jqjq3eFnW7zvOLzxP4wTsLudWZiq7pLBWWKPklatUanuNxcnyC4zu07BZrlTVqpRqXhEt8ZecrdEdJCh1d1Xl64engc/c+J2e0DIv5RQpOAVEW+djKx15+ZeeVDVVS1+2pjTVN3o8qqQXSP+LfjHO9JdwnnXQ/E9uzbwycASfDE9wgKfVeWiihmqq81Fhq3GzdtHNqziqZJSzDIg5iRsEIP0j+6quqSnvUZvd4lzAMWW2sksvk0Ns6F+oXGHkjCGHiTshoGWRZRlVV9BMd27cZTUfUtBofXfooX979Mv1ZH0VUiOOYSIxQFIVKvsLG8Qa1SQ1DNdjobFBUiuTzebqjLsuFZTbDTWRZToqiZnPs9HaoWTUa9QaqrHJycsJUmTKzZ+z2dqmpNU7iEypGha3+FrZrs+KtcH3tOmIoMhwMWS+u89u7v00QBdQzdSRNQtEVsnqWlcoKiPDK5iuMZiPi45j2tA3AQmWBk8kJpm5Sr9UhgKPuEd7MQ9ZktIxGEAREQTKnZhgGhzuHbA42qWfqyS20KlIv11myl2iNWsRizGp+FV3WkWV5MPbHBUmUUAwFQzOQZVl/ceXFdUER0BWdveM9OpPOL73df/vON74CUt+Azhnz6z1KEYoCacaG980Jne394f6fiMLoH6qyGhiKcaU/7KPICs7EaXXt7p+VROnXDMWQrXxSrmu6P6Uz61AalShlS9ya3KLn9FjKLSHIApIikTEztPotOnaH9co6W8Mt2uM2mqqhCMmSmxcWX+C3t377nSIMz8w9Qz1f5+bhTVrjFnkjTxzESKHEUmWJnJbjQfsBx5NjrLLFGztvsF5ep1QtYeZN9o/2sWc2qqhypXYFSZKS4g+ihK7ozMYzbh7dRBREmoUmqqK+s14wJsZSLRzXAR/MgklZLdOddLnTvcPQGdLr9xirY7zAIxACuqMuV6pXmGvMYWom7qbL3mCPzDhDFCV5rVzfRUZmt7OLJEo0Cg1ESWQ4GdIddVFkBTmWqVpVRDGZsO9P+qhdFQWFq3NXcYsusRAzm81wY5ecmrvTnrVfbE/a5Id5IjMp3uH6LpZloeoquqq/+p/e+E9/9oO+vv6AO/PI9FEKSgweoc0fWjFxMPAGnx70Bp+WBMlayi19QRbkp53QYbG62LjeuP7y7mjXnniTwng8JjIiyrkya+U1bh3fYn42z3dc/A6OR8f0hj1OuicEXoDv+mz1twCYeTOenHuSu4d3kzQr+QalSokFc4HlwTKmanI4OqSWqyGaIh27Q0bNcKt1i4u1i4iRSBAF5LQc6/V1tu9u050m6wqn7jSpTC1rHI+P8QMfS7OYayadyP7BPv2wT6PRwIxMFvwF9tp7hHHIU0tPcXP7JmIsMvbG7PZ3mTgTNFlL1jQKIqZqspBdoD1t4wYuTpB0gHkjz/rcOoET4PouqqKiSiqdWQdN0hg4A/YH+xBDGIVMvAldp4sbuEl1IVlje7CNJmssNhZZr6wnmSncJl+991X60z4XqhfI6Tk0VePGxg0iIcLxHflK/cqLK/EKX3zwRYIwYK4wx0pthb3BHvW4jmd6HI+OvxjGYXq38c2xOOcR1gJpWMMjC+PQlkSpVbNqLDWWyBgZuWSVfjyWYrb6W0RRhKVbXFi6QH1W59bRLUbeiG6/i+/7yYhIinE8hydXnmR1cZX/8Np/YLu/zUK4wNNLTzNfn2c6nDKejIn9OOmQZJF7nXvYjo1mayBA1azyxMITGJKBYRrEfkyohBwMDlgvrdNxO0REHI2PkA6TEdRCboE3j99ktbhKdpKFGAazAWN3jKZqZNQMlVyFr2x9BaNr0Mw1eWHxhXfit3YGOzwM04iJUUSFw9EhcRxzvXGdSI447Bwy9acggCRLKKZC+6jNeDhmMB1wpXIF2ZBRZZXV2iqVUoWjkyOc0OFa9RqSINGsNbFUi7udu/iRTxAHxGIMEUiChKVZ9J0+1VkVe2Ij+AKri6v0Z3029zc5GZ9Qz9YxFZO5whzL88tokoYu69zYvbFdMAqdNw7f+Acf9PX0beDMVbgepcxXg3TS/ZFFcRSM3BG9fo/hdIjjOTx14Sm+uvVV9kf7XDGuMBwM6Y17/3JzsPlPLkmXvrDV3yrExDzVfIrFxiKqpDLqjVBNlatzV9k42kARFWrlGq7v4gYu2+3T3OYLF5BkCVmW2RvsEYQBqqAy8kZUvAqSKREHMVpGo91tc9Q/oiAVeGHtBTRV4+2tt9nqbvGRix8hZ+SwA5vd/i4IYMgG2/1t5nPzGBmDXDbHsDfkqfpT2H5SGLUbdoniCC/yUKXkVjJbyCZBqd1ekvLZ7bHb22UaTFnILdCetOmOu6iKiiIqnExOWJtfoxbXOLaPscc21UwVQzEI3SSQVRZk2tM2l5qXiJyItt1GFmUORgfv3K4Wi0VmgxnEEBMnIz43WVaEANVsFTuwaUgNzJxJMVukP+ljdS00SePiwkVuHt38gS8dfelV0rncx2GFJE3y+/Yok+7pCOubsDfc+5EgCP5zFEVXvMgLVEm1er1esqQlY1Ar15hNZ1xZuvJDf1b5s+t3Onf0sTdGRGQ4G1KwCxiqwcSd0O112W5vUzSKtGdtDjuHjMdjJu6EW+1bzGfnMdoGISGrhVUWm4uYuknxuMhudxfN0MgUMoRuSKfTYfNkE8/zOAgPMBQDUzWxXZtypgwiSKrEpcYlWsMWbxy8wZPNJ7lcSfJbPVx8jQCrC6toksbe8R5H3SOG0yHX6tfozXq0Ri0yZoa8mEfNqhi6AQrsd/bpdrpossbl+cvcO7iHF3qszq/yzMozBF6AZEhk1Ayv7r/KQn4BM2siI3N0fIQf+8yb8zgTh27YJQgCrjau8ubxm7zdeptL9UtU1Ao5NYcgCCzmFzEUg0K+wI3dG6wWVimXyjSdJv1Jn9KsxNXmVX7nzu/gBi7zpXk0TUNAsEk7q8flzBmMH6VU/ZmqXKR+Nz/2W7v27vN79p6uS/rKUn7pq47v6Ijw1PxTmKZJ1swSRqFcL9ZfFnSBV7deJYoidgY7RFFEKVuiN+tRVItk1SR2aqm4hCsmOaYiKWK9uE7f7aNJGs16E2/qJRPmispwNmTkjhjZSYS7P/W5eXCT7rSbPJkUVDY7m0ked0kiq2aZjqaEXog9sZElmfnCPKZq0mw0kzmy40P29/fxAo9mo4lhGGS0DEWtyNgZoygKlmFxODrED/3kaaeWwxd9Do8PORwfEhMznA1Zqi+xr+5TyBTIZrL4kc/QGRIFSQ1BQRAYO2Om7hQFBStvIZ/IDJ0hjaUGS8YSb22+hed7rNXWuLt/F9/32dvbY7u/zVJhiaW5JTJ6hl63h4jIxJ0w7A1p6k1e67yGcqJQtap819p3sTvYRRd0hqNha3e4m1bKeXy2OecRlk16O/g4BDGxndfyn9AVXRcEgZk/YzAZkJ1lkUiix904SWV8oXCBzrRDOVcmI2eIoxhLspKUKCch7UmbolGkkWkwno6T5HulOToHHWIhJiLCtEz2tvcYjoYU1AJvOW+x1d1i6kzJm3leWH+Bg84BU3/K0eQIGRkEkmKqqklr3EKeyCxXl/lI7iP85v3ffOcpnaZqxFHMV/a/QlEvJvFipx2kJEhMvSkDe0BWzOIqLo1cg8iLEAsiZbNMp59cUpZssTXYSpbxOANG0xHHJ8ds97e5ULhAs9FECAQW5hb47bd/G3fXxVRMclYOJVbwQo9hf8ioP2JnuMPQGTKXm2O9ss6t1i2WC8v0nB55PY/jOYhS0lFpkoYma+gZnUKuwJ32HXJ6LnmQoJqomoqmawix0PjI4kc+8atbv/rpD/by+bbR4JzjsO6SDocfG1VW5wtagYEzQBZlNrubeL5HwSyw0dnA0izW6+u0Z23WS+sszC9gaia94x5jb8zB8IAgDljML2KHNthwNDqialbRDI1ZMKNn95BECTmWiaUYXdYplopUO1Uq2QqrS6uIXpJ6ZVVZZTaZcW31Gl27y1HriJXqCoqs8PrO65SMEqqhcjI+eScjp6ZozMYzIiIuz13ma9tfI4xClsvLlM0yD3oPqJpVNnub1K06kiDx2sFrPFl/kppWQ1aSuLFappbk19LL9KY9FnILuGGSMmY4HeJlPYIoQJVV/MDnmaVnuLF9g1EwQtRElgpL9Nwe+5N9ToYnNKwGURQhiAJr82uszq/Stbts9Dc4GB3ghz6aohGEAR+a+xAZI8Nx/5jpZMpHlj+SJCP0PSQkkEHRk6BdQzZWPujr5ttIwDnfEn438LNnbJN6DzNv9uWhO2QuO0cURZStMhcWL6DGKrdPbneCMKj4oY8bugydIflxntALEVWRSIiIp0nNvbE7ZqmwhKVaBAS0h22ygywXyxe5fXybqTtFkAXyap5iuYgUSVTMCjWrhiRISIrE1J4ShRGKpvDqvVc5sU9YK64lJbp0k86sg4BAp9/hdus2q4VVREOkPWijiAqdSYeclqOUKbFaWWV1aRVN1LBdm1E0op6tU7Eq9Kd9nLZDe9Km0C3gGE6SmnjS4VLlEnOlOQ4Hh9xt32Ulv4JhGkz8CV27i9gS0WWdIAqwHRtFUrhUv4RlWuwd7VFQCwiawPHgGAGBtcYaKiqdbgdFVJAVmdXyKvbM5tA+xFRMykYZ2ZAxLIM6/7/23j3GkuO+7/1Wd/W7z/s9c+axs48ZcpfkyiTFtcTIdERBDMIbKZAcy7AM6cIKZMNxbEM2kiDX8DUUw7m4DnwFW7AN24iE0LGMyIic0BAdUxZlUdCK4mPfs7Pzfp0579Pn9Lu7uvv+0dz1iqJtLaMVqeR8BoudOaequl5dXVX9q++vBjdykc1nAQB7R3tQBRWUUrCYwRyb4Dn+xz/2to995KX9l37ilf4rV97kLvT9joG77Ej1OqYzrO8aA2/whSiOftYP/I/k5NxZSZDoYDBAFEbtfWP/V0ta6Xey4ywaWgO7o11EcQRd1DE3MwfXShUQHlx8ED2zh2v717BSXcFCeQF7wz2MvBGON44jK2fRM3vo2B3kxTw4gYMsyzhWOQYtp4G5DIZroJgvwrAN2MxG1+wiRurQYWSM4Ks+RCLiyDxCHMewPAsDe4Bj+jFU6hX0jT6OV46DIxyudK/ACzyYpolESZDX89g+3MZKaQX5Uh7DaIiTxZNwiYudwQ7mi/NYWljCwB1gpjyDSrGCrJpFmIToGB2UrBLOHTuHjc4GBu0B7MDGbHYWkiDhYHyAJEmQkTLYMXZAQFDX65B4CWN/jIE5QGfSgS7qqGgVmIGJ+dw8sgtZ/I9L/wNBFGDoDDEyRuDAwTVduLELKlAgBjzigYs45PgchqMhtoZbWK4uP0REggfnHnzlkWOPvPjS3ks/+83ON198s/vS9zF31azhDNJNMuMO4015HWLE3jAY/vYwGP62zuuPl83yz20Pto3WpPVvEpKclUQJW4MtHKsewxMPPgFrbOHSwSXQLoUXemhNWumbLimVHtZlHRN/gpJcwlxxDoVsAXklj4E9gBOkPgy1gQZP9sAYg5RIEGQBAgT4oQ/P83BgHsBhDgpSId234ig0QYPPfCzmF5GRMlAFFVujLYRRiOON43BCB3WtjqyWxcnRSWwPt0E5CoEX0DJbqRqFZiIf5gEAYRTiROMEssey6Ha66PQ6MFwDtmtD8zUkUYKG3sDR5Ajr3XU0Mg2cnTsLIzTwpStfAosZNEnDPdV7INHU/quaqcLjPQztITJ+Bqfqp1ApV1AcFrF2uAYrtHCqeQqqpOLa3jWcWzyHntfDKzuvgCc8DCuVndZEDRInoZgvYiFagOu7qDaquLZ/DUEUYOSOMOwPcbp5mlbKlXPFbPG/7hl793T8zlTQ741xVwesqav6u4QVWc9alvUs/qbbH2Sj7BdERXy/xmvwXR+mY2LopOoJC8UFjN0xCAhiOQYHDjFiVPIVXNy5iLKZqhRwEYfTc6fRtbo4so7AEgZN0EB5mrrRjYChNUScxOhaXbjMRVkuo6yXMZOdgR/6yMpZnJ05i8tHlzGXm8OBeYC53BxmCjOQiATTS71UC1TA8epxVDIVHBgHiPwIS4Ul3D9zP/aGezhqH8ELPeyP98ERDjk5hyPnCFzMIUgCDMwBVF6FF3rYHG7igdoDyKgZKJICDhwKmQKWK8vYn+zDZjZEKmJ+dh6SIOH61nWUMiVUKhVcdi6jPWqDRAQ9u4ehN0RJKSFCBFDA8iw0ig3cX7sfp8qn8NW1r+L64DrKajmVen5VqqfAF2C1LQRhgLX2GpI4wcH4IPVUHfqpBb4oNoMomK463hg6gDsa6N+IWcMbOc4z5Q3QMlu/IHHS2c3+5uLQHkKXdOTkHBKkaqNDb4iiUoSe6DB8A4ZlQJZllNQSNgYbmHgTVLNV8DYPAHio+RCqtSq64y5e3ngZA2uAeraOA+MAeSW/07W7ixkpg4pewcm5k9BkDe12G5l8Brqq4/rwOlRRxTtOvQOv7L6CsB9CF3V07A6kvgTTMjE3O4fQDHG8dByaoiFIAuSyOUiShP64j5JeQlEp4pXDVzCXn8NSeQmIgIAEKKgF5Et5jN0xMEzrQJRE2J4NkRfRG/ewVFzCifIJvHT4EgIWwPVdUEoRI4aoilB1Ffc27sXYHoMTOCR8alE/dIcojouIWISxN8Z4MoZABfiOj6yURRRHmM3OomN1MDbHkCUZoReiY3YQJREETsBSMVXP6Lk9qEMVgR8giqONERtNH+JvjAPc5QGrj6kd1vcMSqh8b/Xe/GJlESIVMZwM8c6T7wTlKFqDFspKGT27h4yUASUUW8MtuJGL++bugx3auLB/Ae7ARTVThRVYMFwDykRBlmRR1srQRR15PY+F+gK+tva1z2bkzK94zAOLGFzfhSzJkEX51u9cwmHopkuuc0vnsNfew8gZISNmsDPawanKKbQ6LTi+g1K5BFVREY9jeKGHMAqhqRqKpSKKYREhCbHR3UA0iFDRKuiMO6jKqaX+C1svoCJVwGIG5jFIvAQ1oyIKI5AMQS6Tw/p4HUfmEShPMTbGGNgDaBMNBARBGKBQKODi3kUMnSFm9BkMnAF2B7vIW3mM3BF2hjsYu2OM3BFEKqKgFFAtVHFi4QQOe4e4vnfdGDrD83vG3uONTIMGcfqW8gfmfgB+6OOra199bq27dr5v9z/1ZveT72Pu+lnC6dT3LsMRTn649vC/OF4+/t6BMyhropZXMyo0WQNiIGIRZE1GwAJkpSyCKICqpV6ZT9dOY3ZmFrIggzd4vOvEu7B6sOptDbZkXdRTV+3gkc1mMWPNoGt2kS/kMbSGmMnN/EpWzuL5nefRttpQ+goc00HXSk0YzImJE4UT2B/vg4UMzGcwfAPjYIzlyjJ6bg99q4+W2UJRLsIwDJCEIGYxzJ6JzcEm6tk69IwOEhJU1Soy8xmUi2WEbgj+kMfhOBUFDIIAg2iAml6DmlVBWCoPrWgKRs4IiqpgMb+IC7sXsD/aRz1fR9ftQhgJoKDQRR0hCVMnGiDwmIcTpVSg0PIsw/bsf/6VwVeu54TcjzdyjZ+vqBU54RNEcQSO41DP1r2nLzz9g22/fb0slj8kiuIfS5yErdEWAhaAcvT8prH5j9zYnc6s/uegSG2x7ijCnYafipXdRRazi588VT31i81qE/dK9+KgcwDTNNObn8TIFXKI3AiNQgOHo0P0nX5qvClJODKPIPZFSJwEkROBBFhuLMvZYZaJVKSHk0McjY+QkATNUhM5JYdBf4A9Yy81aeAEKIICAoKu1U2NPkMH+8Y+6nodDAxltYxyqYysngUBwcgaQRZlUEIh5kTkc3n8xeW/QBiFGFtjLM0tIXRCHJgHIIQgiiLomg7KUVBCETgBQj9ESSnBcA0cmAfwIx8iJyKMQ8QkhiiJcAwHI3uEgTOAZVkwPRNRHKUHpWOAB4+SWkKlWsHh4BCsy3Bm9gwc1wHHc8jlchj2hpAFmb1j8R3v5Xa580ESrHEcJ4dRCMMzkB/lEfgBJCrJH3jgA7//x6/88XtqudonjuWPoV6pg/AEf3Xxr37sle4rX2AJmw5W//Mw3KFfQu4OLzB9E3IXoYTKFb3yoSiOECECEQhqxRpUXsXu4S6G5hBekC6vJvEEVmhBERRMrAnmtDkwwrA/2MfAGoAIBKIg4tLRJaiSSmu1GqzIQhRFEKkIQRTACzxIQnB/437cW70XqqTiB47/AMIkxEw2VSl4+/G3477Gfbi3eS9q2Rpc5sJyLLh+eoi4Xqmnm/s8B4mTUi/Oeg1tq404iTEajrA93EZBKuBa5xr6dqrBfjQ6ApUplIwCWZFxT/0eHCsew8MnHkaj0MDYH2PsjtHv99HtdqFkFUz8CcIkRLVWxUxlBg80H8D9S/fDDEx4zEuPG9kTrO6vguPSjfNKuQJKKQgh0FUdQRKUM3LmY++7733b71h4x38UiICJP0Ecxbh0dAlDe4hcKYfZmdlH/+HJf/jzmqCdlQQJsiBDTmTcU73nvdPB6rvK4p0EfiOb7lO1hruAQIT8O+ff+eW53FwTACIvgslM8CIPSZGwN96DwAuIogiqrOLC4QVU1SpWGivI5XMwJybuzd8L13YR86lRacACDKwBGloDpm9i7IxRlsoYu+NUX4oTwWfTJaI/8TEYDFJrdioCBOkyTFZQckvQchqW88v44stfBNfjYJomOI7DTH4GFzYv4J7KPSjVSiCM4B0r78DzV5/HamcVs+4sZkuzWKgvYOdwB2u9NaixipEzQn6cB0c4MJchZCFG7gi9fg+WY2FGn8FGfwNRHKGSq8D1XBAQ1LI1SIIEqlCsHa6hHtdR1+tQFAXbnW1EcQQzMGF6JibmBCInYmAM4Ac+HMdBz+zh3vl7oakaZTHD+nAdIk2PP+0YO6k8tW2D0zhogvZDAi/QBAlAAVEQsTvanTph+e5yVzfdpxLJd4myWv6wLupnt0fbWKmsIFfMgYKiN+zB8RzL9m05iiMq8AKOaak0ckEqgCUMIIDIiRgbY0Qsdb0uCAIK2QIoR9GetDFLZiFQAaZvYg5zEEQBAhHgeA6CKABLGNqTNo4mRzA9E4ZrIGNkEEgBRvYIvMJD5ETcU70Hdmxjrb+GuloH1+fg+i7c0EUYheATHhGLoEoqYicG5SlK+RIIR1BWy6gv19Fze1jdX0WSJDAs45ah5+HkEAAgJGk+T5ZPIitlMTJHsB0b68N1zGXn0jK+6jzihf0XcLx4HCWtBDMwMXJGyIk5bA23Ut2tJEHP7kEaShCoAJ7wGIwHuLZ3DWWtjDOVM4iTGBN/gkfmH4Gf+DjsHkIVVAic8OhcYS6VmJnoEIgAFrPpW/LvHh6A3TuJ8EYcqU6XhXcBytGFsTeGxzzYgQ3LTZd77VHbeungpfc4sfOBklr6xYyYgSZpmCvOYTAZoDvqIgxCqLKKjJLBs1eeRVEpYml2CZ1RB/dU78HIHiGjZ3D//P3Yae0gJjHApW60bNfGwBzA8i1UMhWs9ldR1arYM/bgBA6QAAws3eRXUmkWVVKxlF9CwALsdnfBwHA0PgJPeChUQZIkGHtjVLUqhu4QR50j2IqNfC6Vxrm+fh3LlWVUK1WwmIH3eTRKDWTlLK52r0KAADdy0bW60EQNClXgRi4yYgZrvTXwhEctW0MtU8NsbhZ6XsdsYRY9q/fvr3evP/r2ubc/mlfz6FpdZKVsWt4EWCgtQBEV3Di6gYKcurfPKTmM4zGUWIGe1TGrz2LQHyAiEXJyThdkARe3L2J1f9WL4/hzX2t97Zk3u6/8L0QegHQnEd6IgN90wLoLtKzWrwmc8Nip8qmHarkapFjCoD+wvrH3jfu2zK0dSuhGRsp8LE7ifMIlAAACgtXOKo6Xj2OltILepIf7G/ejZ/XwyvYrOFk+ibnaHGpeDYZroJwp44J/AYNJ6hKMiznsj/axb+4jjEOslFZwvHgce8M9nCqfQhzH8CMfbbsNRVZQq9fAg8fm/iYUVYEaqpgrzsGLPBwODyHxqTstylM8KD8IVVZxdf8qXjp4CSfLJ6FoCkI/RBRF6XEgt4iMkgEUIFfIQeAFhFGIRq6BndEOMkIGzUYTR8YRNKbhVO0UgjCA4RqoVCuY5WYxHA4hCzImxgRhFK6V9NL781oejXoDM/EM2p02rg+u41j+GBRdSd3aCzLmG/Op5PKoj7E9RuRFsKzU+DWJEqhZFZIiwbM8nKqe8j69+uk5gxnTrZDvLjcFQb9j7nTTnWFqh3VXiJLIAIe2QpXU80tGghu77D2n3vPlD97zwf8rw2esiTf57a7VRX/QRxIlkHgJDAxRHOGVjVfg2A5KlRLetvI2FJUiEiQglEDP6rAdO3Xrrlb6q53V/lprDS/svQBKKZ586Em8/cTbsT/ZBxdzONM4g47ZASEEpXwJSIAgDBBGIXzmw3ANbHe3IUkSCuUC8tk8SloJpUoJmqbBMAyIopgK5RXncHbmLBIk2DrcgmEb0EUdB5MDrHfWcf3wOizPgu3aCIIAZa2MXCkHTdcQxiG6ky5avRYUTYGe15HL5kBA4DMfLGGQNRlqVkWSJFgoLnwyQbLiBA7CKAThCCilePfKu1HQCjDGBnZ6OyCEABSgEgWLGHJcDkfmEfb6e9jZ38HucBej0QjGxMDAGODS7qXfdWPXeLP7yP+C3LHVwRtZj0/X8HcJFrENK7BgTAz0nT5CL8xXs9X83MzcJwVeWGYRe+Jq7yqiXoSiUoSbuCjKRVxsXbyQ03JnM0ImtROiFAWlgKPxEUBSH4ZBFODizsXfvjG88UsiL57zE//LuqhD5EV0R10onAJd1FHOltGoNzBfnce13Wu40b6BMA5xNDkCAMRxjK7dRZIkt46nGJaBm4OEQAUIVICsyeATHsEowIm5E0hYgs6gg4AGkHgJb2++HZSjuNq9irAXYmyPMZObQU7JwTZt+I6P2dwsVElFmAlh2zZUVUUSJOhZPURxBFmQkc/k08HYmaBcLDd/qPhDWN1ZhdAWwCNVopBUCTPqDL55/ZswXRM90oPW06DJGuzARs/qIStlIfIikld/ZCqDhASXWpf+3YX2hU/5sT/du30L8Eb2sKYD1l2ib/f/UOKlDxJCmkEcYLmyjHwxjyRKUNWrHw6TEP9k4Z9g7XANzGVYqa1grjEHY2x4X7z2xc8N7MGHtJ4GRVBQL9Vh+iYETkC2mMW9mXvZtfa1T7mx67mx+1yRFS8AOLs72sUSWYKmpzI1PvPhBR5IRMARDmeqZ2D5FjpWByNnhEa2gYAFsEILLaMFAgI3SPebxCMRqqiiUqqAuQwBCaDLOhIugaRKUCcqOkYHuqRDz+jwHR+PLj2KG70bEKkIvaBDERWs76wjiVOdeV3XsSQtpU4sWruwAgt7xh7COMSp+VOgPMW13WtIkCCTzSCfyaNRaODG0Q14kYflyjJUUwVNKFYWV3A6Oo2/vPqXYBHDydmTWD62DGfNQRiHWKguIJ/NY2JMIKgCsnoW93n3nf3q4VenS8G7xx0pjt7pkpBiuod113Ai58qWsfXwN/a/8X/YgY0ojhDGIcABB8YBXN+FSEU80HwAc4U5zNRmEIcxvMQ799DsQx/s2B3sDnfBqzxkTcbx2nFQQuGHPhI+oY/MP/If3157+zkA2J3s/nDf7P97MzSRIEFOz4EKFANzgHa7jcFwkEoclwoo5oqYy81hobiAcqWM99z/HiyXljFyRuibfcw0ZsB4hrXuGohIIMoiAKA/6aNQKsAcmRgOh5BUCQvVBYRRiMv7l8FxHDKFDFYWVuCGLiw7te/KillogobRKH076PouRFmE4Rlom23EiJGVs/AtHyNzBCmTGs12B1202224npv6SqQyNvob2DjcQGfUAQcOnu+Bp6lL+4yagR/4EKnI4jgGoalFvSzLcDwHtmsjjMLpA/ruIeMuu6q3MJWWuatESdR2Iue8GZhWe9LWCSEQOREHkwOvzMoyOUxnPhkpA9uzMbbH2O3tQuIlSjiSurAaj2BPbJQyJaiSinanDZEXUa/UH81puf8qUvFXOcIxN3LPFJQCypkyEAB5KQ8/8qHKKoq5IkaTEb5545uo63UsNBagSRpc2wVHOIhUhEhFKKICFjCcnj2NlzZegmmZ6PN9hF4ISZHgeA7aRhs8x2N+dh41tYaLuxfTN6F+OkDJVE7dfcUJckoOs41ZlLky1vbWsH24DVVS4fkeqnoVyzPLOBodpUeB7D6KShElvYSyWsaV9hXUtBqa5SaCUQAu4VDTa+g5PQRRAMpTlHNl1NU67MBGq90CAWmf3z//qZnszK93+h2EfgjHcdA22ygoBax1137vze4T/wtzR+cIgTe2JKzjDs3pp9wZYRz290f77wmC4Hf2hnv9sTf+hQPn4OB44fjXh+5w5Z7qPanHmISi5/dgBRZG8QhL+SUcWoc4so5wpnYGSkaByIkwAxOGbSAZJijlSvVzi+d+h/AEf3njL6FQBZIiIZ/Nwz/0AQawmIEIBBGN4LB0b4olDAmfgBdSyeB6vg6RF1ErpP77AjuAxzxcPLyIBWcBXbuLY4VjMKiBI+cIIhGhGzpYwHCsdAxb4y3sG/vgCQ+RF7GYX8TV7lXcV78PLGEQeRHVbBVf2/4aVF5FRs6gmqlCy2q4t3AvbNeG5Vi4enQV9sBGQSmgxbWwM94Bx3GYz85jtbeKglqALuqQaLq8DPh0mTpTnAHlKC7tXnoqJ+feuVJZQa1cQ+RH7Lm9535hf7zvJUieMZgx9XJ+97jj1dqdDlhtTPWwvifYkX1+a7L1tts/C+LgfBAHK1Ec3Tp6k7NycKLUO3OSJDhTO4MXD1/ExJtgbI6hSRrK+TKcMJVJ5mQulf0VKPJ6OqOybAuSnDoKbVmtWz4Bj4ZHIAlBz+mBO+JQ1svwQg89K/X/d2L2BFjMIKsyJFtCUSuib/ZhBzbMwMTQHWJldgUP6A/gxYMXsdHegCqomK/OY4bNgM/wqFfqSNwEpmOimqmibbYhdARogoZ8MY/33vdefH3t66hn6yjnywidEExg6Ha7AAHeeeqdWN9bf+bFwxfPFeRCfszGGDpDZnrmZ7aH27+3P95/qJqp/k5dr8N2bazurmIhuwBBEaDLOh48/uAv2ht2amwrCdBUjTayjf6lwaXPvVlt/78ROoDOnUS40wErjzcwjZvy3aFv9T+lUvWjY28MfajDpS5G9gj3Ve/DxaOLyCt5lNQSjhWPYWOwgSRJkJWyKOQK6I17IITAcR3MVGbAQgYVKtpWGxIvwfM8cBHn9ayexYErj90xBu4AQRTA9E1oooa6UMfh5BAapwH8q44ZxgH2enuIvAgr1RVskS1whLulOAoGZNUsHlt+DEZg4Jtr38QkmDCOcPRY4Rj4gE/NIwoF3NyDAwGauSbCYQiFVxDGqfKCqIpI4gStVgtdu4uCUsB4MIZMZWttuDbHEW6RgBxsT7blU7lTD71z4Z1P3Ojd+MzAGtSjOPo5Dlze8R1MvAkmkwmiMELCEuS0XCr7/Oq+3cSbTDfZvzdYAJbvJMKdDlgnMLXDetOwmHWhZ/V++kTxxO/IggxVVDF2x3DD1ApckRRki1k8kH0AfMxDEiRokoadzg56dg9hEqKslUEleksD6uTcSbihCwUKipniwX9b/2/3+KH/H/tO/wmRiuWqWoVIRQQsgBd4yKt5HHYPkR/nkcQJmMdgmEYq4dI4gXeuvBOGYSCrZtMNbVmEklUQOAFiO8YDjQfaX97+8mfmcnP/WlM1ZAoZJEECw03TeGj+ITRnmpB4Cb1eD4VSAcej47A8C6IpYmgMUdbLaFQasG0bWkaDHuhPHs8ezxMQXRXVh/zY/8Qj8488MVudxcMnH/5XX7rypfd87fBr/27b2D5TU2tPeqH3yTAKUcvVUNbKKIkl9tL+S97YG9MkSZ7++tHXn32z2/p/Eyju8FzyGxHwmz593kRyau7dMpUhqiIURcFyYxlDc4iXWi/B8tJNbJEXYbiGYTiGcbV19dcGzuB0guRiTs/91sgZ6ZlxBjKVMXJHUEwFGSWDKIzQsTsXALCu3/0J+EBZKv8LkRd/c1acpS2zBZnKKGtlmL6JG90bWGKpN2k9r2Ntdw28yIPKFKIkQvO0VJImYLBdGxNzAsM1MFeeq3/owQ/9629ufROO76Ra8r4Hx3Rw7sQ59EY9uL4LIqVLXuYxVPQKvn70dRxODpGX86iX6+lsK0rACRwoT+V3HHvHNhLQ2cos1rvrYBFDzMUYTAb62dmzXyyppV++0btxQZKkD5wqnsLczByKmSLMkWm8tPvSL1zqX3rmcu8yoiSayie9hZnaYX2fkSSJPnJHMAwDPOExcSco5ApoBk20Ji0gAQhI+1rn2n0dv/MtD5eESx5Yj9d/PoxSaeOES7DR24BKVbCInV/trv7S7eH7fv+3s2H2fUmSPH525izM2IQd2ahlajiYHGAumks14mUNLGHo9XvpMitMUNbLyBazAAM2DzZxvX8dJ4onIKoiKE9Rz9ZBYoLD1iE4cMjoGXiJB0VSMBqMYCQGcrkcZF2G1bZQUApYH65fIAk5OxqNQGIC3/YRu3GazuSQNnNNCLKAlfkVvHj9RbRvtNHQG1icW8zPzsz+1uLRIuv5PdoZdVA0i6CgaI/az13oX/hMWkHfu3acAiBdEt5VJxQMU7OGN5W+1f8PHLhzHOHy/XEfCRKoqooHlx7E+t56/9nrz/6qG7mfG7Pxt82EfeZ/KSNlft5lLjiOw3JjGeVCGb7j469X//pX9539ndfGOZoc/awmaKuqqKKiVdB3+hB5ERkpg47VgdJT4EgObD/1HTgXzOHE4gnIVIbneYjiCIqooFFsYOAMkJvkcDQ+QlWtYqY2g8AOENPUpVj3qIv5+nzqGNa0oGkaxqMxTM+EyInPniicoBN/gs3eJgzbQM/uIatkMZuZxduab4PjORhPxunZQi/VCyspJQRhcFMyhx5rHENr0sJGdwPaSLt+rXPtV78nDTfl9aC4y3ZYbaSb7lPj0TeJcTh+1jTMY9vGdnNWn/3Nolp8nHIUgRfAcqzPtP32b79ePImT8u9afNfvLxQX0nNzoz2UJqXUe04IcISj9+TveSwjZejYG2MuP3fG9M0XV3urF7iE+6Wd4c7PdK3uohu5mM3M4sH5B9F22tgebEMRFDRzTXzj4BuYTWZTlU+Fw2g4QtfuIqfkcHLmJL66+lWsHq4iiAJU1SoiRJBUCW7gYn+0Dy3RECURCCWgAgUDw43ODSyUFtCcaT7umz4EXcDq3mp6QLtyChk5A57nkSvlkPWzaPfb8BwPIide95i30pq0IHACdEnH2Bsj5mOcWziHr9342o99eefLz8SIje9xE075G2SkL/K+Y+50wKpj+pbwTSdOYiNGbOxb+/905I7eb7rmT1JC/6xltf7gb4tzsnTylZycq2eLWVRrVRy+dIjd4S4M20BGylhe5P3Mw/MPPyHLMvqTPo7XjyOjZdiD3Qc9SZT0693UDdalziVM/Alcz8VyfRmBHtw6U5iX8zgYH9yyMh/6Q+wOd3GqdAq6r+PRxUexb+3j6sFV9MweOI4Dl3CwAxthEKIX9KAMUkUH0zIRciH8wEeMGIQnEGQBCIGl8pJxfvv8593A/VhOzuFk9SQ0TwMXcahWq0iChH1l8ys/MfbGn7A9+1x73L5ACNmRRfmn5rw5igRPbw+2n5sOVm86fQAv3UmE6X7U9zFxElsTNnlqMpk89drvKmJlcam4dHbgDF5UBfXxlcpKXuBTwT4WMaiCikqmgrnGHBI/oSB4PKtkcd24jgwyAAV4kaeqrOoQgZEzQl2vo5arYa+/B5ETMXEmiBBB5EXMV+bxeOlxtMYtvLL3CopKETk5B9M3sdZbgxM4qOpVVHNVmDkTPacHcIDv+17P6rXr2fpikARY766jYBVgBRYoRzH2xihNSiAJAU945HN59Pv9jT1r76dlSX7Md/wTdEARhAEEXkBjpgFJlqgu6uy6cf3Hbq8TjnD/YbW/ighRO07i6WHmN58ygAfvJMKdDlgbmCqOvuUpiIXH37X0rv96rHZM3x/tM0Sgx2ePQ5VVtI5aOHQP4TEPGTkDSZBAOCLP1eegyRp6dg8Da4DhaAjmM4ytMQRRgCiI6Ft95IQcBE4AixluDG+A8hQniychKmLqE9Ev4f76/RjaQ+Nq5yplEdMjPnUW0bE6MEcmKkoF9y3dh6yahdEzmM/8MiEE+VIe31j7BmZyM5hpzCAKInxz45tY762jETawMrOC0WCEF3Zf+OkECZt4k89X1MovsojRsTsGz/OgPQqBCF6cxN+2EoiT+CBG/GY0yZTXx8JdlpcpY7okfMuTV/Mf4DlepxKFHdlUiqRb+lA5PYev730dQRSgNWqBJAQkIdDzOhI+wXx+Hpdalww7sKkmaBeG3vBMI9PIV+UqtkZbUKiSKoCGLhSqYByMYfomeoMemM4wcSZoVBs4Lh7Px2vxU5eOLn2Y53i0zBYkXkKQBJB5GcPh8KYnIL1cK2M4HKb7T4GHBAniJAYVKN6+/Hbw4OGGLnRdRxzExraxfQUAjuyjfzNyR3+m8dqjeTX/4Gx29kO5TA7VUlU+7Z1+38u9l8+/2W0x5e/krrv5mu5hfR/AEe7E0BmiYBQQRzHaVhvZYRbMZ5BkCT+48oN4af0lXG1fPeia3aYqqpgP5+E7PoaT4TObo80fCZNQT5D0ecKX1/prj1e16m/VtFo+J+dwYB5AFVTk5ByKShH7432EUYj2qA1FVJBJ0iVlLVuj++v7hQjRby3mFz8cJzFOlk/i6uFVRHGEsTWGpmjo+B1EToT52jzevvJ2rO+ug+/x4MEjV8xBlEQEkwAmTIyc0fVJNLl1PMyLvfNe7J0v8sUvFpQCNFlL99OU/IdkTv5lL/amK4K3LgzA1TuJcKfyMn1M3xC+5WEx29gf72OzuwmVqEiQ9C+1LmG7u40wDlHNVLFSWfncyB/9dE7NQVM0HJgHMGwDM+WZcz9y+kf+bYKkDYBFSdS2I/upA/PgbZc6l37kldYrvxxGITzmYeSN4IQOlsvLODN/BlSj6FpdDIYDdDodtEatizFiw/CMT/XdvpdX8pBiCccLx7/wwv4L/+DlzssHLaMFe2KjmqmCj/n0oLIgYb29jo3eBvr9Po6OjrDd28ba3lr7/M751zVDcEP3wpF1hI3WBmzTRrlUXvypd/zUX36Pq37KnXECQO5OIrwRTfc8Uu85U96iJFGy2cinTh3ySh5u4H6hF/eemPiTZqvbQlbOepdblz+tiupjYRTiWPkY6tU6mMMg6VL+pHTy5wtrhV8dhaNbM5kwCXfCJNxxXAdmaL6Yl/MfUUX1QyZvIiNmECcxIhZhLj+HQqEAwzD6+8b+szInU4tZL24ON++zPfvfnls499GTtZPvv3f23nPPbzx/5cg+ai7Ly5AzMnRNhzk0UdfqqOQr2OhvYH+47611195zZB/tBElgsYQZr1fmI+vo1+I4ritU+Sh4IOESFHPFR5tKM3/gHrxunClvOju4y67q65iqNbylETihfrp2+tdP1k+iUqqg1+/t7B/sP3S2cbaZL+YRJzG29rd+4+Xey89nhazXd/q/UhgXaBylnmUKpIA4iOUfXvrh/xJG4VdeOXzlD157w1vMesayrGcEInyqrJTf1+bb/5p20jd6jXoDGTWDglYol7TSNy3PevaPX/7jf1pWynVZlp8UOAGSJqE9btdXKit1k5mwXAvj8RiUp7h5ODkrZnHu1DnYY7v/V9t/df7vW9pFSWTZof17VmB9eDQZUZ7jwXxmTMLJtL++dfFwlwesPqYD1luavJh/LIojGiP9yWiZ+j2VexbzSh46p0NWZRiakQeASTh5cW+092MiEf9L1+pCohIKTgESldAsNp+sVCpP3tO85yO/9de/9TY3dr9twAiT8HzH7VwIwmAcI/4kAaEjawRFUUBCAi/0kJEzjz8099BRWS3L42BMJ94E+9199CY9rMysYKG4gMt7l3EwPIDlWGAxQ8tsoRE2EPohepPeM9/pPtQ4GJ9vTVqf8UP//Q2rQduT9k9M2HTAeguziDsUU3gjjlSnag1vYbzIu96xO15ulJMRAzx4OStlkSvmoMkaBr0BNrobf3EzvEAFyKKM5eoyisUiwiBEEibIZ/NgPoMiKWcenX/0o8/vPf+Z1xu04iT2DGb89jFy7NfLShk7ox2M3TEyUgbNShNKTsFoc6TPZmdxZvYMLuxewMHwAEEUwPVc+KGP48XjaIttNPNNXN6+/MxqZ/VLXbP7kbJa7r/SfuUX7qT8R87RP2877Z+9MrgyHaje+tzxDOtON91XcId2E1O+tzjM2XCY4230N7A32APHc5j4Ezheqoxguubz59vnn74ZfuSNnu05PePAOECv18PIGIGTOFCZgoDAtEy84953/P6//Af/cv1vu2aSJGzsjQ8AYKWyghgxxv4Yrp96g3ZDF07oIAoj3N+8H0jw+ZE3ws5gB/uH+zjqH6Ger0NRFWTkzPWu3/2N1dHqfV89/OoPW5F1xy95EiTTwer7A4Y7XLHd6QxLRjrDMu4w3pTvEVESWYZj/LKSUX6dA6ffOLpxfeyPT0RxRDNixnr58OVvmbGwhBnbo+2HR9boE0W12Kxn6k8SLrUqD7xU9jhHc8hkM4vLueXm2njt2164xIi9LWPrvrEz/uRMZmZl5I4+qyv672iCprOAQeZka3u4rSdJAkqo0Z60f9WHv9IxO2cGzgAltQRZkhEFEUbO6I4UKKd832PcSWByh4l/EcD/ieks6y0PR7g6B05mCdvJ0uyHskL2kTAO/7Djd678HXHkxezi9lx2Lp+RMswMTLmeqdN6oQ4u4djnX/58Y9/d/4700EROXKnK1Y/npNx43Vj//3jCn9OodtZhzu86sWMUxeIT9Uz9i/O5eUz8CWReBs/xz/7lzl++57tXC1Pe4jQBfBLpmHJX+CKAs3cr8SlvCShHuCZP+Hxdqf/m6dLp3uMLj+8/WH3ww9/Ni0ic1FzKLa2+e/HdyT+755+F/2jpH/2X72b6U74vaAL4T3fzAr8F4MzdvMCUtxwUd+l0AwGhIic+meEz5+5G+lPe8pwFcEcPqjeyhzVdDv7vBcNdOvCeIGFBHDwdILgbyU9563OAu3w0h2Fq1jBlypTvDnkApTuJcKcDVh5TeZkpU6Z8d9BxlxVH+wD0DJ9ZfHj24Q9Tjho8x8t9u/+8Ezr1+fz8e33mGzKVBy8dvvSZU+VTP5WVs57Ii8umb35pa7h1sFxZ/sDEmxyWtfLsznDnjwghiwuFhXeymMEO7K/tjnavnKqc+knLtw6revX04fjws12riwdmHvhxj3mHURy1twZbz9az9Sdzcu60yIu66Zt/vt5fv35f/b6PABiwmFlts/2swAuPcYTzsnK2XlAKua9uf/VT9zfu/wRP+F1ZkI+3zfafjpyRPpefe8gJnX5Fq8xeOrr0ewW1cO5Y4di7rcDatXzrxc3B5pXT9dM/E0YhimpR3hnufFYW5Mfzcl4WeXHWY97FK+0rz5wsn/zJKIl8nvBtjnD9oTuUm7nmDyVJ0lEEpXShdeH/KWvlj/Icb4i8KAPYeLn18oVHFx/9VwSkA4DvWb0/NzxDrmfqD8VJTDVRs662rz67UFx4rCAX6oZnXOcIZ20Ptw+WK8s/ymJmF5RC7dLRpU9n5ewTjWwjH7LQI4QcfG3/a8+/a+FdvzLxJmsFtVAaOsO/MH2zvlBYOM0iZgOwrrSvPL1YXHySgOiUp0aSJO3DyaG1kF84p4maxmJmr3ZWP1fWyk9U9MrxIAosL/S+sTHYuHK6dvrjOTlHx95413CN51nCzlS0yukojpgu6uMLrQtfKGmllUa2sSJwQq1rdf9sY7Bx8FDzoZ/xQs9SRMU+NA6f5ThuZbGw+Igbuh1CiHGtc+2ZY8VjH7YCa2cmO/PIyBn92cgd6YvFxUcAMIETsD3c/tOsnH0fRziogkpN3/zK9nC7fapy6gme4y2OcPrIGT1v+qa+UFj4AM/xlCPc5kZ/4/mCWjhTUks6gFrH7PxJ22yzY6VjTxAQUI62d0Y7LxaUwkPNXHN54k06IhWt1e7q+eOl4x/wQs+u6JXSZn/zs4SQcwuFhWXTN9c4wrEbvRvPHysd+yAltGYF1pckKnl7xp5xT/We9wGAwAv+xdbFz1S0yqMlrfSIwAlylEQXLx1dev7szNmPx0m8JnBCue/0nw1YcKaeqS+7zB3k5bz0wv4Lf7qQX3i0rJXLQRR4buhe2Rnt9O+p3vNxl7kHqqDam4PNz1W0yk9W9apuuMaaJmryV3a+8pmHZx/+eTuwjayclcfe+PmBPZBPlk/+kMALSJLEP79//neXiktPirzYzMrZXMjCi2u9tY1TlVPneI6ncRJ7Y3f8IggeyoiZBUVQ8k7ofGmtt/biyfLJD8dJfCUrZx9sjVt/wmJ2oqpXH2Axs1VRZZePLn9+sbD4kwW1QOMkzjuB86XNwebBSnXlfYZrsNak1SwohZVLg0vXv5MB6E7NGr4sEOGXfnDuB//4vsZ9JyqlCiIvAhEJbuzfYEN3SE9UTqBWqaEz6CAMQjSqDZCIgIoUV3evwvRMVLUqZmuzCMOQtQdt2qw2IVEJCZdgu73NJvaE8hyPpfoSFFnB6u4q5ivzyOpZsJDhcHQIy7bgMQ/Ha8eR1bO4vHOZzRZmaaVUgW/7YGBsu71NDc/AicoJVMtVbLY2mSZo9FWX5OBEjq3trdGW2cJyZRmNagMjc8Qc26GNagN8woNwBFudLYztMXJyDs1aExzhvO3WtjzfmIdCFURJhMP+IRtZIyrwAuaqqRje1Z2raJaaKOQKCLwAdmh7rX5LtkMbx6vHUcgV2LXda6yWrcmlQgnMY2Acs7ZaW/rYG2OpvIRauYbD3iFITFAr10BiAp7yuLB1wZv4E3mptIR6pY4gDNAb9DBTn4FABCRJgvXDdTbxJjQjZTBfm4fACVhvrWOuMgdN1JBwCXa6O57ne3IYhVgoL6CQK+Di1kXMl+ZRLBThOz4c5nitfku2AgvHysdQKVewurOKklZCMV+8WZe4sX8DZmBiLj+HWqWGsTVmruPSWqUGwggIJVg/XGcds0Nns7OYb8zD8zx0hh0066kvQhBgq73FLMeikiBhvjoPURDZ+sE6na/NQ1d0BF6ASTBh3WGX+szHUm3pZh/AXHEOuWwOkR8h4RNsHG5g4AywXFtGpVzBVmvL0wVdLpfKiNwIvMzj+u51mL6JZr6JWrUG0zKZZVu3+gA4sLWDNWp6JkpKCc1GE3EUs52jHbrYWIQiKWAhQ2vUssbWWE+SBEuNJWTUDC5vX77Vd0M/hB/52O3sYuJPcKp+CsVcEdf2rqGeq6OYK4L5DODBNlubtGN1sFxdRrVcRavfYglL6ExtBglLQHjCru1egxVYtJlvolauwfVcb2AM5NnaLAQIIJTg8s5lyws9PStlsTizCAKC7dY2m6vOUVVSEUURBtaAGaZBwyjEfDWt42t71zBbmEU+m0cURvCYh632FuzAxonqCZSLZawfrltZMavXqjUwl4EIBFd3r2LiTXCykp5l7Y/7CPwA9UodXMSBEzisHayhZ/ZQUksYszEenn/Y+8/n//Ox9cn637s/fqdLwnZRKX5A5uUT4ACOcqASBeEJ7NCmAQvAYoaEJOAlHiBpGFERkSQJWMzQsTpIkAAcIGsyjZMYCU1AZYokTqBpGu3YHVBCwYkceJFHFEcATdOKoxi5bA5du4s4iQEeoCKFKIqU8AQJScDxHDiRo1ZgpXE5ADwgKzK9+buoiCAcoS5LrbEJISA8QYiQxumZFgiykOaVB1pmCyxmAA+AQk6Q/E05EyChCT00D9MwHEAEAkEQIMgCOIEDx3PgJV7uOT2wKA3DUY7ylJfB45bjBUVRdCtIB+ObeRVkIQ0vcBCktCPylJetwAKLGAhPwAkcoiQtK5Uo4iQGJ3L0yDpK64kCRCRIkIATOVCVIg5jKKoi7xg7aTpCOqhIkpTOvTmAgEDTNbln9+AEDgifpiEpEghPwAs8JFUCeMCNXEy8CRIkIDwBI4zedCohaRIIRxCTmE78CUDSMiu6AhYzcJSDIAuIwghUpPTAPEAUp3EFSaAsSfvVzboUJIEemUeI4nRgIgKBKqtgSZoW4QhAAcM1AAAxYoAAmqbJCZfm72aegjjAyBulcXkORCT0ZhtRiQIAJTzB4eQQLHm17USOJkmCmIvBC2kfiLlYPzBftaulafkEQUDCJSCU3Own6Dk9UELT+qUEMeK07V7tywlN6MSfIE7iW3r2VKK3+q4gCSA8oWES0q7dRRiF6b0oU5mQtA2pQhHHMTie09tWOg5EiCArMhIklAgk7SdRjDAJ6Y6xAzuwAQ7gRT49iUpicEI6RHAiB8M1EMd/k6eYxDrhCUDSeuIohyAKUo3+JAShBEQgt/qDIAu30jW8NK2cnoOoivL9M/d/R2Yzd7wkDKLgsOf0UJgUQHkKEhFwIoexO8YkmMCwDcgjGUNzCC/wIPUlUEJBOIK+1UcYhxg6Q6gjFXESY2APoA01+KKPkIVY76zDZS46VgdqT0Vez2PsjdEf9BGzGIEXoO/2YYc2AhZgMBqkInVGG0IigCQEURgh4iJM/AlM30TVrILyFENjCEooeJKKwxGeoGf1UsVMswdJksB8hr7VhzJUIPES4iRGZ9gBSxgM18BwOATP8+jbfagDFYEXIAojWLb1N+Xpawj8AC2jBYEICP0QLGBwIgcBC2BFFgbGACQhGFpDJCwBBw4kIggRwvZtTIIJeuMeKE/RHXWBGBAFETShiBGjZ/ZgBVZ6vZEGL/QwckZQByokXkKCBP1xH3ESY+gMkR1mIcsyhnb6e+iFYCGDYRlIkgRDd4jhaIg4jLHf34eQCEiiBJEfgdksPfsXuhiOh+AIB8M04JLUXRhhab4Nx8DYH6Nv9iHLMkaTEVzfhTSQIHESYsRoj9vwIg+GY0Dra+B5Pq3/fg+6pCMIAwzHQyRJgpEzQn/QhyqrMH0zbWsWgwUMPbsHn/noR33kh3nEYYzWqAVEAM/xiIL0IWeHNuzARsksQaAC+kbaj3iOT5/4Ioe+3YcZmDBsA8pAgR/6GDgDqEMVAhEQJzFG1ggsZhjaQ6g9FYQQjLxRKozoMYQsdZzBojRvek+Hr/vojDsQudTpa+iHMHwDPvPhBA4K4wKQAJZvQZyk/hpv5nvkjOAwB0NzCFEU0R62wSUcpKEEkRMRI0bX7MKPfAzsNK9BGKBv9yH1JSiCgjiJMbbHiOMYXauLzCgDy7LQnrShKzp8yUcYhrfCTLwJBqMBIhbBcAyoVAUBQRImcCP3Vh8wTAMCFTC2xoiD+JbePgOD4RiwAgsjawR5IGN/uA8SE4hUhMiLIDxBd9yFy1wM3SEc00FDbqBv9Xe+kwHoTpeE/x3AT9eV+r8qyIWPLhWX4DHPIiDWtrFtUULPSoLkNfSG1TE7T7mR++R8br7MYgaFKv3N4eZ1QsijCRKvolZoFEfP9JzeubpeX5SoZElUwsZg4w84jvtoEAVsLjtHJV46WO2vHjSzzcdzUo4GUcDc0H2q7/afZDHLl5QSCkrhwmpvtV3X60+U1BILo5AmSJ7bNrYXefAnNFGzZrIz1u5o9xmRik/U9boexZEO4MUtYysvcmKZ53i9rtdZnMRX9sZ7+YX8QjOJE0MWZHajf+M5kYofDuOQNfQGk3n5wraxrTcyjRMSLzHKURxMDj7vR/6HWcwOmtnmosiJz68N1thMZuZcUSmyBAkOx4d/wMA+FkahXlSK/YJcaO+Od3cUqqw0Mo16EAVywIJn9if7ZylHdUVQ8jWtZpiBeSWMwxNFuViOk5hKVNq4MbhhCZywkiChda3uOaHzlOEbZ+dz82cJCOUId7A+WH9a4IWfSpAYjUxDp4Se3xhu6EvFpbMkSZ+ME2/yuxN/8v4ECS2ppbou6Oc3RhusptXOqYK6IfLiiTAOn9uf7J9Bgrwu6qjptf72aPsZVVQ/XFWrAKCHUfiFzdFmXhbkR2Uqs6pa9QbO4KkgDj5U02oWIaQcx3F/d7x7nnL0/RzhjNnsbN4N3S+0rfaZxcLiCZ7wVpIkrG21zwdR8ESURF4z22Q84a+vD9fRzDZP5OU8jZNY7tv9Lxi+8X4AqGpVr6AU+le7Vw9qWu1cXs6DxcxLkDy/O949w4FrKoJilJQShu7w+SiOHqvq1X6cxE0keK5ltc7whK/HSWw1s034kX9+6A4fm8nMUAJiCbzQvzG40RZ44VwYhdZcbk4WOfHK3mSvXNNqJ3RR98I4tAb24Atu5H6MRcwqKkWqCurzG8MN1PTaoyWlRAEYVmA907E774+TmGbEDIpK8cqNwY3ny2r5XzQyjb4d2PkkST6/b+6fETnxhCIodCYz4x2ZR59hCfvojD5DEyRyEAVf2B/vU4lKjydIWDPTlN3QfarrdB9vZpt5nvAyR7idreHWc4qofGziT4zF/KLOgXtmd7J7tqbV6nk57/nMtwbO4GmWsI9ageXV9TrNSbkr68N1WlbLDxXkghcnMXzmP92yWo9RjuoKVTCTnTHW++ufV0X1oxW1wuIkluMkfn5ztJlXqLLIc3x/NjNbdkLn2ZE3erKiVizK0TJHuAvbxjaTqXzW8i0mciJt5ppPfXn/y//8Dsei74jfBPAQABCQm+YN8qt/y/ibGVv+tjg3zx/iNfHobf/fDCPfHua2sDd/v31GSG+Pc3sYAnL79emrebuZpvzqv/Jr8nGrLLflid72vfw64fO35eNm2t+Sp9dJB6/m77VlwW15+rYwt9Xv7Wm/tmw6Acm/+tnrlen2a93eXjc/f72/v6V+XifvuP16t33/2nr9ljxx4OqvKW/5Nel8W3lfJ22K17T3bfV/q9y39Z3b++pr+075dfJMby/vq/Fe25/Lt/fNV9vgtfX02va/mfa3pPU64b4l37d9d/s99C197mb/fk1ZgL9pu28p321pya+GKd8WJv9qf7r9fpRv+/e69xwBqeN16vs17S0jNRz977iL/A5SxYYpU6ZM+Z+lCeCP7yTCnW66U6SmDaCEUp7w3zKKC0SgKqfKr/1M4RRZ5ER68+/bvxdJ+rnMyd92/EPipFthKaHftt+m87osEpHeTLtAC3me8PS113htfm5P9+ZnGq992/VvT0fhFPn2/PKEpzma018vX7dDCaWUUKrz+q30RSLSm+ncXs7br6dyqnx72pRQmqd5vSgU8zc/Kwml/O15uj3928soEvFb6iRP8/rt+bn53e1hcjSna7x2Kw8yJ8sCEWiWz+q3X++115Y5WZY46VvqUuKkb+kXGq/Jr9cOOZrTb6+Lv639/672FYlIX9smf1f410v/tendjH+zzW/vKwqnyH9bn749zOul/9pwlNBv6Rd5mtdf7764HZ3X5dvj/V398bX1fTs37+Xb671AC3lKKH29/vHavN/Oq2ncuudzNJeviJX8zXvo9iL/XWV7Pe40ggfAu69030892Hzw32bkDEuSRDZ987nD8aFc1auPc4SzynpZ3upvPaUIyuOVbIUiRjmMwwvX2tc25vJzT7CYlUtaqd01u0+xmH1wobjQTJKERXG0c7F18ZnFwuJH3dDVG9kGdZn79M5wRz9WPHZCl3U9iiJvd7T7lEzlD8dJLJe1si5QYedS69KFE6UTT2iS5hEQum/sfyZO4icJSL2oFqku696l1qUvNHPN9xe1IiUgZSd0nt7qb3klrfQERzirnquzzd7m5xRB+WAj18hHLJLB4/rq0erObG72CZ/5VlkvY+gMnzJc44mFwkJe5EWEcXhwvXP9s/VM/RMe8/RapiYDuHL56PLB6frpc7IgI0kSejQ5ejpJksfiJK6XtTKVRXnj2tG1jYXCwmM5NeeFLIQVWs/3zf6KIihlRVBYQS3I6731zxfUwvsregVBGDA/8l9c76978/n5J93Q3WkWmie2+lu/IXDC++u5el4kYh48+i/svPDZY6VjP2f7ttHMN8tDZ/i5sTd+aD4/3+Q5nnGEw8sHL3+qkW183A1dtlBcWPRC7+nr3evecmX50ayalf3Qt9qT9hfc0D2blbIruqxTXdKNq0dXn2lkG48X9SKNWVx2mXt+39inmqid0USNFvWitz/cPy9R6VxZK8sc4fQoia6sdlavNzKN97OYeSWtxAzP+PzEnZxbKC40KUcpAcE39775a0vlpU8O7MHGQnGhGUbh861xqzyXn1sRqWhEScSOxkfPEJDHeY4v55W8rIjKwQu7L/zR/Y37P8FTvi1y4kp70v6cx7wViZdOyILsFfUie3H3xU8tFBc+XtbK5SRJYIXW82udNa+m185JgkRLWgmr7dVPFdXiJ6rZKuMTXrcC67nNwSYWCguPWr5lzeRmdNMzn+87/ZWl0lKdI5wFDt56d/0Luqh/2A3d9kxuphxEwXM7g53yUmlpURM1OUGC1rj1OY955wReOFFWy5Ty9Pq19rUrx0vHP5jX8jSKI9azep+zffsJVVTzAid4GSXTX22v/llVr76vnq0vEhA5iIIrl48ut2ezsytBHLD5wny9bbafCVl4oplvnomiyOMp335p76Wnm7nmh8I4pNVMlY698dOGY6wsFBZO8DxvsYj1O2bnusiLDwVRkG9kG/UwCp9e662x5cry45qksYAFRmvc+hzHce/nCJfPyTlZFuSDK0dXnl0qLn1MV/UDPuFPtCatf9+3+2cyUuYhRVDk2cKsfung0m9UM9WPFrUiTaLEY4RdXz1a7dcz9Ued0KEBC+oZObP2+dXP/9/fyQB0p5vuv58Vsl85N3fuP90zew8qpQpiLzVLuLR5CYZn4FTtFGZqMxhNRrAtG7ON2Zu2LFjbW8OhcYhjxWOYbcwCAPYO9tCcbUIVVIRhiCPjCDdaN1DTajjWPAZVUnFl4woWZhaQ03MI3PQV9F57DwBwfOY4CrkCrmxeQaPUSG1ZPIaYj3Ft+xoMz8C9M/eiUq5gs7WJDM3cdGcOIhC8cuMVjNwRlmvLaNQa8EMf3W4Xc7NzoIQiQYLVvVUcjg7RzDaxNL8EANjc28Sx5jEoYmqD0xl3sNZaQ0WtYHF2EZqi4fL6ZSw2FpHP5FPbMJ7h4uZFUEKxVF9CsVjE5v4mcmoO5WIZzGOAAFxYvwA7sHGyehKNegM77R0IiYBGvQGOcQAFLm5cRNfq4mTpJJqzTdiejUF/gLnZuVtvN9cP17HeWcfJ0knMz85DlmRc27iG+Zl5ZJRM6hI+NPHyxssoKkUcnz2OXCaHi+sXMVeZQzFfROAECEiA9b11uKGLE/XUBmfzcBMZKYNqJa3LhE9wefPyLZunRq2B4WQI3/VRr9UhIDURubZ7DYfGIY4Xj6M500QYhTg4OsDi3CIUIa3Lnd4O1tvraGaaWJpbgiIpWN1axcLsAnQ5tcMauSOsHaxB4iWcnD2JQq6Aa9vXUMvXUCwUwRyGgARY212DG7o4XjuOWqWG3e4uJEioVWtIgtTE48rmFRyMD3C6dhozjRkMzSGssYXmbBMiLyKOYmy1t7DR3cBifhHH5o6BgGBnfwdzs3NQJTW1wzJaOOweQhEULDWXkFWzuLx5GfO1V+2wvBARF2F1exUsYlhqLKFYKOLi+kXMFmdRKVXAfJbaT21cTvtlfRm1ag2dUQexH6PRaICEqcnG1a2r2Bvt4Z7aPZibmYMbuOj3+pidmYVEJcRRjO3uNrbaW2jmmphvzENTNFzZuILF2UXoig4WMAycAa7vX0dWyuLYzDHkM3lcWr+E2fIsSoUSQjdEgADXd67Dj3ycbKQ2VttH21B4BdVKFbEX37rn+k4fp6qnMFOfQW/cg2d7mJuZAxdxSEiCjdYGtgfbmM/OY4IJHll6hP3FS3/xnr8++Ovn/r4B6E5nWJRy9IdGzgjtURs+8SFCREQitCYt+MzHwBxAUAVM3AlMy4Rkpq9Ybc9G3+6jNW5B5mWoORVe4GHoDJGxM/AlH47loDVuoW21wYNH1szCZS4mwQRjd4yYi+E7PnpuD0fmEWReTuV2SYAQIUzHBCMMCAAiEXStLuzAxsgeIRZiuKELFjAk4wQkJhBEAT2rh4k/QWfSAWQgiRMYrgFpIkHmZYQshB3a6FgdZMQMdnu7yKgZHE2OII0kFPUifNdH3+6nr7x5FV2ji2yUxcSfoGt2YTELiZ/ASRwYroEojqBMFPAyDz/x0Zv0wHgGPuLBiRwm3gRu6MIKLBwZR7ADG3EQQ7EVkIiAJQwTL62TsTdGxsnADV0M7AHoiEKTU7MKMzDhhi76dh9kSKDJWmri4GRT0xKiout2MXSHEDgBnXEHfuJjaA+R0TMISQjf9iHpEo4mRwijEFkzC4jA0B0iCAIwyiATGaBAz+lh7I5Ts5CMgqEzhG/74BUeWTmLKI4wcAYYOkOU1BJ0R0dCEpieie64CwICkYgYOSOYvglbsnE4PEQxW0TP6kEaSZAkCVzAwYGDgTNAVsziaHwEO7IxsAdgSTpQIQAgAj07NVsp6kUkYoKBPQBhBFSlCNwAvMija3YxdsfoWT1gBLCYYeJPMDAHICAIWWqKM7AHyApZZCYZcDyHsTeGNJGQ1/KYTCZwYgc7xg6qahXyUL5lwiNPZLiRi9AJ4RIXh+NDUI4ia2YRciHCJEyvJRIEXgBO4NCxOghYgJ7ZA1UpDNdAEiSQLRkcOFgTC4aXmhCM3TFUW4XlWTAcA4qlpLZRMcXYGaPn9JCVshi5I5ihiZE7QsbKgIHBGltoO20MnAGSOMHAHCBECCdy0DJaiPgIXMjBYAbaVhscOLSNNohEUpMR14aoiiAxgeM6GLiD9J5zRqATmppBWAYUUwElFCxi6Ew6MFwDGSEDJaMgZCEtKIWzAP7eAetOZ1iPc+AWZ/SZ/7eiVvJltQyOcEiSBJujzdQwj2po5pro2T04oYO6XofApU/X3fEuojiCyIsoyAUQQtiusUsX84vgOR6KoKBrddF3+uAIh6XiEiRewtXuVcxkZiBRCRzhMPEmzGEONTwDc7k56IKOvfEeCkoBOTmHOE7tbNaH6wiiAPPZeZTUEm70bzCJSrSm1xDHMShP2Y3BDQoAuqAjJ+cQRiFsZqOsliFyIljMsG1sMySgHMdhJjMDAoKW2cJCfgFhFEKiEkbuCIZnwGMe6nodWSmLtcEa5nOpNTzlKYbOkI28EfWZj7pehyZqOLKOkJfzoIRCF3UAYDcGN2iMGAW5gJnMDAbOAGZgYjG/iDAKIfACNkebXpREckbIICNl4IQOrMBCTa+BktRwdH+yDyRAlERo5poQORF74z2U1BIqagVWYMEObQycAWLEqKpVlNQSDs1DCJyAmlaDxzx4zEPH7sCPfFTVKuqZOjYGGygqReiiDp7jEUYh2xhu0DAOUdWqqGpV+MzHyBvhZj+hHMWuscuiJKJIgIVCWn9du3srrSAK0geI2QHlKapaFRkpg63RFspqGSW1BCdwwGIGwzcw8SaYy82hoBSwPlhHWS0jK2XBEQ4+87Fr7MJhDprZJrJSFj27xyhPaVEupsbCILjSuQJREKFQBbOZ2dS2yRlgNjuLgAUQeAF74z0QQhAnMZrZJggI9sf7qGfq0AQNpm/CYY5nB7YcJVHaX3kJ68N1zGZnoQka3NAFALZn7NGEJKhpNVT1Kq52r6KoFFHVqiAkdd5xMDlAmITIi3lkpAzs0PaSJJELSgECJ4AjHLvev055jgflKOp66kC5a3ehCzpKWglIgJbZ8qzAkgVeuJWP1d4q6pk6oihCTs7B8Aw2dIc0iAMs5heRETO42L7IGpkGzUmp20A/8nFkHiGIA5TkEuqZOnaNXSiCgpyUA+UogijAzngHURyhpJRQVIoYuANESYSyWgYBQRRH2JvsIUkSSLyEe2v3oqyVva9ufvVtq8bq33s8504HLAAAJbSeoZmf06lux4jBEe45IzCaKq++N05iLytlvZE3+ixHuI9nxIyF9M3inw294Y4maD9qhdbVulo/7THvjybhZEXl1WVN1KwEyeHAHVzhCPejcRIfSpxUUkX1Gz23J2eF7CMCJzAAnuEbn44Rv58SuqBQ5YxEpT9rO+2dnJB7b07OeaZv6kmSfHocjs+ovPqBGHG7IBcGhmc8wxHu0ayYfcBlrgfgjyxmLYpE/KEYcbuslOsDd/CpBMlHCnIhjwRIkOweOUdPq7z6eJREy0W5qLOY/aEVWudUqtZEXrQkKumH5uEfCpzwkwkSS+KksiZqX2nZrX6GZt6nCIrBEc6PkujFsT9+JwfOF3hhNiNmrrbt9nN5Kf9zlKNrAi88yCL22YE3OKFR7d1u5F4vysXOwB08C+DJht447YZuO0HytZE/YhIv/eMwCjezYpYlSJ6ZBJMn8lJ+QeRFi8Vsre22r8hEfkLgheO6oOf9yP+UzeyzRbn4IAeuz3EcO7QOPy3z8oc5cMc5wjFd1L/UcloHGT7zmCqoBuWpfmgdfkbkxA+KnHg6QUJ1QV+zQ/s6gH9c0Sq6z3yPgLx05BztyLz8jwkILSpFww3dL5mBeTYjZhZUQaVu6F7seJ3zWZr9RILEyIiZfJzEf2T4xkpJKS1w4PQwDl8aeIPnZF7+GRazw7yUP04I+fO+12dFqfjjHOEMnuO9vtP/NOXozwEwJF7KE5AvWaFlibz4gbyc79uBrcdJ/NkgDj5ACT0TJ/GOKqidjtt5qigV/9+smLXCOOw7ofOnLnPrPOHfHSURK8pF1nN7f6hQ5RMFuWAFUVAH8LWu231R4ZWPs4S1y0r5hOmb/yGIg8dyYu60IihgMdvtOJ3PCZzwQUro8SRJ+rqof+PQObxSEks/QznaoTzNeaH3J27knqOELrCEoaJUOgf2wdMqr35c5uVDgRdqA3fwKRA8qvDKg1ES1Stq5WrH7jwrcMLPqILqRXG0yHP8n/Tc3obIiR8hhMhlpYwwDv9w4A7O5sTcgkzlfJREV4/so89LvPTBBElJ5dUyR7g/tZl9RublWYETPIlKfsfp/K7IiT/nRu5aUSq+m3L0z/te39N47QOaqG0SQmbd0P2sF3mPc+AkgRcWFaq81HbaX5B5+RMZIdPnCJd3mfvnNrPLAhFOJEhKKlV3XeY+DYIP6YLORF5cjpLoS323vyNy4o8KnKBnpMxBwII/37F3nn8jY9GUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVO+n/n/ATVrA15m+9QEAAAAAElFTkSuQmCC",
      "text/plain": [
       "<fresnel.util.ImageArray at 0x7fad6ecf8e90>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_viewer = FresnelGSD(\n",
    "    gsd_file=\"surface_wetting_init.gsd\", view_axis=(0, 1.5, 0), frame=-1\n",
    ")\n",
    "sim_viewer.view()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d938d6b6",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "## Step 4: Run wetting simulation\n",
    "\n",
    "The `WettingSimulation` class from the `flowermd.modules.surface_wetting` module runs the wetting simulation. The `WettingSimulation` class is a subclass of the `Simulation` base class. The `WettingSimulation` class takes the following parameters:\n",
    "- `initial_state`: The snapshot containing the droplet and surface particles.\n",
    "- `forcefield`: The force field containing the droplet and surface force fields.\n",
    "- `fix_surface`: A boolean value that determines whether the surface particles are fixed during the simulation. If `True`, the surface particles are excluded from the integrator, meaning that they will not move during the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f383a19b",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initializing simulation state from a gsd.hoomd.Frame.\n"
     ]
    }
   ],
   "source": [
    "from flowermd.modules.surface_wetting import WettingSimulation\n",
    "\n",
    "wetting_sim = WettingSimulation(\n",
    "    initial_state=wetting_snapshot,\n",
    "    forcefield=wetting_forcefield,\n",
    "    fix_surface=True,\n",
    "    gsd_file_name=\"wetting_trajectory.gsd\",\n",
    "    log_file_name=\"wetting_sim_data.txt\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bad3c08",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "source": [
    "Now we can start the wetting simulation by using the `run_NVT` method. The droplet slowly spreads on the surface, and eventually wets the surface."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c74cac0-8f28-4c05-baee-00893b1eb886",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\"><b>Warning:</b> Due to the large system size, the following cells may take approximately 30 minutes to an hour to run.</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6509db1e",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 5500 of 300000; TPS: 2768.52; ETA: 1.8 minutes\n",
      "Step 11000 of 300000; TPS: 3152.5; ETA: 1.5 minutes\n",
      "Step 16500 of 300000; TPS: 3284.74; ETA: 1.4 minutes\n",
      "Step 22000 of 300000; TPS: 3374.16; ETA: 1.4 minutes\n",
      "Step 27500 of 300000; TPS: 3428.91; ETA: 1.3 minutes\n",
      "Step 33000 of 300000; TPS: 3467.3; ETA: 1.3 minutes\n",
      "Step 38500 of 300000; TPS: 3502.33; ETA: 1.2 minutes\n",
      "Step 44000 of 300000; TPS: 3531.35; ETA: 1.2 minutes\n",
      "Step 49500 of 300000; TPS: 3546.18; ETA: 1.2 minutes\n",
      "Step 55000 of 300000; TPS: 3563.27; ETA: 1.1 minutes\n",
      "Step 60500 of 300000; TPS: 3577.47; ETA: 1.1 minutes\n",
      "Step 66000 of 300000; TPS: 3588.54; ETA: 1.1 minutes\n",
      "Step 71500 of 300000; TPS: 3598.05; ETA: 1.1 minutes\n",
      "Step 77000 of 300000; TPS: 3606.74; ETA: 1.0 minutes\n",
      "Step 82500 of 300000; TPS: 3613.64; ETA: 1.0 minutes\n",
      "Step 88000 of 300000; TPS: 3618.97; ETA: 1.0 minutes\n",
      "Step 93500 of 300000; TPS: 3624.17; ETA: 0.9 minutes\n",
      "Step 99000 of 300000; TPS: 3628.86; ETA: 0.9 minutes\n",
      "Step 104500 of 300000; TPS: 3632.6; ETA: 0.9 minutes\n",
      "Step 110000 of 300000; TPS: 3636.98; ETA: 0.9 minutes\n",
      "Step 115500 of 300000; TPS: 3640.8; ETA: 0.8 minutes\n",
      "Step 121000 of 300000; TPS: 3644.0; ETA: 0.8 minutes\n",
      "Step 126500 of 300000; TPS: 3644.07; ETA: 0.8 minutes\n",
      "Step 132000 of 300000; TPS: 3645.76; ETA: 0.8 minutes\n",
      "Step 137500 of 300000; TPS: 3648.36; ETA: 0.7 minutes\n",
      "Step 143000 of 300000; TPS: 3649.99; ETA: 0.7 minutes\n",
      "Step 148500 of 300000; TPS: 3651.55; ETA: 0.7 minutes\n",
      "Step 154000 of 300000; TPS: 3652.74; ETA: 0.7 minutes\n",
      "Step 159500 of 300000; TPS: 3652.62; ETA: 0.6 minutes\n",
      "Step 165000 of 300000; TPS: 3653.14; ETA: 0.6 minutes\n",
      "Step 170500 of 300000; TPS: 3653.18; ETA: 0.6 minutes\n",
      "Step 176000 of 300000; TPS: 3651.28; ETA: 0.6 minutes\n",
      "Step 181500 of 300000; TPS: 3651.19; ETA: 0.5 minutes\n",
      "Step 187000 of 300000; TPS: 3650.98; ETA: 0.5 minutes\n",
      "Step 192500 of 300000; TPS: 3650.88; ETA: 0.5 minutes\n",
      "Step 198000 of 300000; TPS: 3650.8; ETA: 0.5 minutes\n",
      "Step 203500 of 300000; TPS: 3650.15; ETA: 0.4 minutes\n",
      "Step 209000 of 300000; TPS: 3650.11; ETA: 0.4 minutes\n",
      "Step 214500 of 300000; TPS: 3649.24; ETA: 0.4 minutes\n",
      "Step 220000 of 300000; TPS: 3649.11; ETA: 0.4 minutes\n",
      "Step 225500 of 300000; TPS: 3648.87; ETA: 0.3 minutes\n",
      "Step 231000 of 300000; TPS: 3648.68; ETA: 0.3 minutes\n",
      "Step 236500 of 300000; TPS: 3648.48; ETA: 0.3 minutes\n",
      "Step 242000 of 300000; TPS: 3648.32; ETA: 0.3 minutes\n",
      "Step 247500 of 300000; TPS: 3648.25; ETA: 0.2 minutes\n",
      "Step 253000 of 300000; TPS: 3647.73; ETA: 0.2 minutes\n",
      "Step 258500 of 300000; TPS: 3647.67; ETA: 0.2 minutes\n",
      "Step 264000 of 300000; TPS: 3647.7; ETA: 0.2 minutes\n",
      "Step 269500 of 300000; TPS: 3647.57; ETA: 0.1 minutes\n",
      "Step 275000 of 300000; TPS: 3647.66; ETA: 0.1 minutes\n",
      "Step 280500 of 300000; TPS: 3647.49; ETA: 0.1 minutes\n",
      "Step 286000 of 300000; TPS: 3647.07; ETA: 0.1 minutes\n",
      "Step 291500 of 300000; TPS: 3646.93; ETA: 0.0 minutes\n",
      "Step 297000 of 300000; TPS: 3647.02; ETA: 0.0 minutes\n"
     ]
    }
   ],
   "source": [
    "# Uncomment to run surface wetting simulation\n",
    "\n",
    "# wetting_sim.run_NVT(kT=3.0, n_steps=3e5, tau_kt=wetting_sim.dt*100)\n",
    "# wetting_sim.flush_writers()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1ce60d1f",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<fresnel.util.ImageArray at 0x7fabfc79ffd0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_viewer = FresnelGSD(\n",
    "    gsd_file=\"wetting_trajectory.gsd\", view_axis=(0, 1.5, 0), frame=-1\n",
    ")\n",
    "sim_viewer.view()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d96aaab1-9b27-4493-a73d-dd648205b1dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 2500 of 200000; TPS: 3603.28; ETA: 0.9 minutes\n",
      "Step 8000 of 200000; TPS: 3626.52; ETA: 0.9 minutes\n",
      "Step 13500 of 200000; TPS: 3627.33; ETA: 0.9 minutes\n",
      "Step 19000 of 200000; TPS: 3622.36; ETA: 0.8 minutes\n",
      "Step 24500 of 200000; TPS: 3625.28; ETA: 0.8 minutes\n",
      "Step 30000 of 200000; TPS: 3628.58; ETA: 0.8 minutes\n",
      "Step 35500 of 200000; TPS: 3630.27; ETA: 0.8 minutes\n",
      "Step 41000 of 200000; TPS: 3631.99; ETA: 0.7 minutes\n",
      "Step 46500 of 200000; TPS: 3632.77; ETA: 0.7 minutes\n",
      "Step 52000 of 200000; TPS: 3633.59; ETA: 0.7 minutes\n",
      "Step 57500 of 200000; TPS: 3631.47; ETA: 0.7 minutes\n",
      "Step 63000 of 200000; TPS: 3632.64; ETA: 0.6 minutes\n",
      "Step 68500 of 200000; TPS: 3633.33; ETA: 0.6 minutes\n",
      "Step 74000 of 200000; TPS: 3633.98; ETA: 0.6 minutes\n",
      "Step 79500 of 200000; TPS: 3634.04; ETA: 0.6 minutes\n",
      "Step 85000 of 200000; TPS: 3634.52; ETA: 0.5 minutes\n",
      "Step 90500 of 200000; TPS: 3634.92; ETA: 0.5 minutes\n",
      "Step 96000 of 200000; TPS: 3633.84; ETA: 0.5 minutes\n",
      "Step 101500 of 200000; TPS: 3633.35; ETA: 0.5 minutes\n",
      "Step 107000 of 200000; TPS: 3633.69; ETA: 0.4 minutes\n",
      "Step 112500 of 200000; TPS: 3633.83; ETA: 0.4 minutes\n",
      "Step 118000 of 200000; TPS: 3634.41; ETA: 0.4 minutes\n",
      "Step 123500 of 200000; TPS: 3634.21; ETA: 0.4 minutes\n",
      "Step 129000 of 200000; TPS: 3633.67; ETA: 0.3 minutes\n",
      "Step 134500 of 200000; TPS: 3633.29; ETA: 0.3 minutes\n",
      "Step 140000 of 200000; TPS: 3633.55; ETA: 0.3 minutes\n",
      "Step 145500 of 200000; TPS: 3633.64; ETA: 0.2 minutes\n",
      "Step 151000 of 200000; TPS: 3633.87; ETA: 0.2 minutes\n",
      "Step 156500 of 200000; TPS: 3634.02; ETA: 0.2 minutes\n",
      "Step 162000 of 200000; TPS: 3633.86; ETA: 0.2 minutes\n",
      "Step 167500 of 200000; TPS: 3632.88; ETA: 0.1 minutes\n",
      "Step 173000 of 200000; TPS: 3632.88; ETA: 0.1 minutes\n",
      "Step 178500 of 200000; TPS: 3633.06; ETA: 0.1 minutes\n",
      "Step 184000 of 200000; TPS: 3633.31; ETA: 0.1 minutes\n",
      "Step 189500 of 200000; TPS: 3633.3; ETA: 0.0 minutes\n",
      "Step 195000 of 200000; TPS: 3633.58; ETA: 0.0 minutes\n"
     ]
    }
   ],
   "source": [
    "# Uncomment to run the surface wetting simulation longer:\n",
    "\n",
    "# wetting_sim.run_NVT(kT=3.0, n_steps=2e5, tau_kt=wetting_sim.dt*100)\n",
    "# wetting_sim.flush_writers()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1ec84021-fccb-4372-abdc-fa5158014564",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<fresnel.util.ImageArray at 0x7fabffd26b10>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_viewer = FresnelGSD(\n",
    "    gsd_file=\"wetting_trajectory.gsd\", view_axis=(0, 1.5, 0), frame=-1\n",
    ")\n",
    "sim_viewer.view()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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