{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "65da9e07-7368-439c-97a7-6090809f30fe",
   "metadata": {},
   "source": [
    "# Inverse design quickstart - level 2\n",
    "\n",
    "This notebook builds upon the previous [quickstart notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd0Quickstart/) by demonstrating a slightly more advanced inverse design optimization using Tidy3D. In this level 2 notebook, we explore inverse design optimization of a multimode interference (MMI) power splitter. Our inverse design goal is to minimize loss by optimizing the width and length of the MMI.\n",
    "\n",
    "Throughout this notebook, we will set up the simulation, define the objective function clearly, run an optimization loop, and visualize the optimized field distribution, providing insights into the power of inverse design in integrated photonics.\n",
    "\n",
    "<img src=\"img/Adjoint_Quickstart_2.png\" width=\"400\" alt=\"Schematic of the design problem.\">\n",
    "\n",
    "For more advanced inverse design examples and tutorial notebooks, check out\n",
    "\n",
    "* [Tidy3D Autograd Tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd1Intro/).\n",
    "\n",
    "* [Topology Optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd3InverseDesign/).\n",
    "\n",
    "* [Shape Optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd5BoundaryGradients/).\n",
    "\n",
    "* [Grating Coupler Inverse Design](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd6GratingCoupler/).\n",
    "\n",
    "To see all Tidy3D [examples](https://www.flexcompute.com/tidy3d/learning-center/example-library/) and [tutorials](https://www.flexcompute.com/tidy3d/learning-center/tidy3d-python/), as well as other learning materials, please visit our [Learning Center](https://www.flexcompute.com/tidy3d/learning-center/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "19c48bd8-1f5d-4649-9136-4e24cf8ca200",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-16T10:07:52.310955Z",
     "start_time": "2026-03-16T10:07:49.456477Z"
    }
   },
   "outputs": [],
   "source": [
    "import autograd as ag\n",
    "import autograd.numpy as anp\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "from tidy3d.plugins.autograd import adam, apply_updates, optimize"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f6bff69-599e-4167-a144-5878bdc9d536",
   "metadata": {},
   "source": [
    "Define a function to create a [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html) based on MMI width and length parameters. We set up a [ModeSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeSource.html) to excite a guided mode and a [ModeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeMonitor.html) to measure transmission. The width and length will be combined into an array called `param`, where the first element is the width and the second element is the length. Here we only have two design parameters but in principle, this array can have an arbitrary number of parameters.\n",
    "\n",
    "The MMI geometry is created by a [PolySlab](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PolySlab.html), which is a polygon defined by the coordinates of the vertices. The vertices of the geometry are denoted by the red dots in the schematic below. We manually define the vertices for the top half of the MMI and add a symmetric copy for the vertices on the bottom half.\n",
    "\n",
    "<img src=\"img/Adjoint_Quickstart_3.png\" width=\"400\" alt=\"Schematic of the design problem.\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7053d49a-9f22-405b-a704-e51a2d4fd3ac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-16T10:07:52.317446Z",
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   "source": [
    "def make_sim(params: anp.ndarray) -> td.Simulation:\n",
    "    \"\"\"Create a Tidy3D simulation given MMI width and length parameters.\"\"\"\n",
    "\n",
    "    width_mmi = params[0]\n",
    "    length_mmi = params[1]\n",
    "\n",
    "    # add a mode source located at the simulation entrance to excite the guided mode\n",
    "    source = td.ModeSource(\n",
    "        center=[-1, 0, 0],\n",
    "        size=[0, 1.5, 1.5],\n",
    "        source_time=td.GaussianPulse(freq0=td.C_0 / 1.55, fwidth=0.1 * td.C_0 / 1.55),\n",
    "        mode_spec=td.ModeSpec(),\n",
    "        direction=\"+\",\n",
    "    )\n",
    "\n",
    "    # add a mode monitor located at the simulation exit to measure transmitted mode amplitude\n",
    "    mode_monitor = td.ModeMonitor(\n",
    "        name=\"mode\",\n",
    "        center=[15, 1, 0],\n",
    "        size=[0, 1.5, 1.5],\n",
    "        freqs=[td.C_0 / 1.55],\n",
    "        mode_spec=td.ModeSpec(),\n",
    "    )\n",
    "\n",
    "    # add a field monitor to measure the field distribution\n",
    "    field_monitor = td.FieldMonitor(\n",
    "        name=\"field\",\n",
    "        size=[td.inf, td.inf, 0],\n",
    "        freqs=[td.C_0 / 1.55],\n",
    "    )\n",
    "\n",
    "    # define the vertices for the MMI structure geometry\n",
    "    top_vertices = [\n",
    "        (-10, 0.25),\n",
    "        (0, 0.25),\n",
    "        (0, width_mmi / 2),\n",
    "        (length_mmi, width_mmi / 2),\n",
    "        (length_mmi, 1.25),\n",
    "        (length_mmi + 10, 1.25),\n",
    "        (length_mmi + 10, 0.75),\n",
    "        (length_mmi, 0.75),\n",
    "    ]\n",
    "\n",
    "    # create the MMI structure using the defined vertices\n",
    "    mmi = td.Structure(\n",
    "        geometry=td.PolySlab(\n",
    "            vertices=top_vertices + [(x, -y) for x, y in reversed(top_vertices)],\n",
    "            axis=2,\n",
    "            slab_bounds=(-0.11, 0.11),\n",
    "        ),\n",
    "        medium=td.Medium(permittivity=12),\n",
    "    )\n",
    "\n",
    "    # create the simulation\n",
    "    sim = td.Simulation(\n",
    "        center=[7, 0, 0],\n",
    "        size=[17, 8, 3],\n",
    "        symmetry=[0, -1, 1],\n",
    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=15),\n",
    "        run_time=8e-12,\n",
    "        medium=td.Medium(permittivity=2),\n",
    "        sources=[source],\n",
    "        monitors=[mode_monitor, field_monitor],\n",
    "        structures=[mmi],\n",
    "    )\n",
    "\n",
    "    return sim"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "020e5534-254f-4059-8e17-e8f32a5d2dac",
   "metadata": {},
   "source": [
    "## Define Objective Function\n",
    "\n",
    "Define the objective function that calculates transmission based on the MMI structure parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dbd9ca20-32ed-4823-bfd2-ed6d31a4074e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-16T10:07:52.360916Z",
     "start_time": "2026-03-16T10:07:52.359369Z"
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   },
   "outputs": [],
   "source": [
    "def objective_fn(params: anp.ndarray) -> float:\n",
    "    \"\"\"Compute the objective function, the squared magnitude of the mode amplitude (transmission power) in the forward direction.\"\"\"\n",
    "\n",
    "    # run the simulation\n",
    "    sim_data = web.run(simulation=make_sim(params), task_name=\"adjoint\", verbose=False)\n",
    "\n",
    "    return (\n",
    "        anp.abs(sim_data[\"mode\"].amps.sel(direction=\"+\").values.item()) ** 2\n",
    "    )  # calculate the transmission power"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f93e60cf-32fe-4876-b431-56a46bc46e84",
   "metadata": {},
   "source": [
    "## Optimization Loop\n",
    "\n",
    "Next, we use `autograd` to construct a function that returns the gradient of our objective function.\n",
    "\n",
    "At the lowest level, we can run Adam explicitly by evaluating the gradient, calling `optimizer.update(...)`, and applying the updates ourselves.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "68c1b791",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-16T10:21:13.950381Z",
     "start_time": "2026-03-16T10:07:52.402759Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 1\n",
      "\ttransmission = 28.5%\n",
      "step = 2\n",
      "\ttransmission = 37.8%\n",
      "step = 3\n",
      "\ttransmission = 41.8%\n",
      "step = 4\n",
      "\ttransmission = 43.1%\n",
      "step = 5\n",
      "\ttransmission = 43.8%\n",
      "step = 6\n",
      "\ttransmission = 43.8%\n",
      "step = 7\n",
      "\ttransmission = 43.8%\n"
     ]
    }
   ],
   "source": [
    "# use autograd to get a function that returns the objective function and its gradient\n",
    "val_grad = ag.value_and_grad(objective_fn)\n",
    "\n",
    "# initial design parameters are 4 μm width and 13 μm length\n",
    "params = anp.array([4.0, 13.0])\n",
    "optimizer = adam(learning_rate=0.01)\n",
    "opt_state = optimizer.init(params)\n",
    "\n",
    "for i in range(7):\n",
    "    value, gradient = val_grad(params)\n",
    "\n",
    "    # Adam minimizes by default, so maximize the transmission by stepping along -gradient.\n",
    "    updates, opt_state_low_level = optimizer.update(-gradient, opt_state, params)\n",
    "    params[:] = apply_updates(params, updates)\n",
    "\n",
    "    print(f\"step = {i + 1}\")\n",
    "    print(f\"\\ttransmission = {1e2 * value:.1f}%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73a219e2",
   "metadata": {},
   "source": "Tidy3D also provides the helper `tidy3d.plugins.autograd.optimize()` which enables a convenience usage which is equivalent to the manual loop above as follows:"
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2ce33ac0-07c3-4f9d-9406-f86c331973a5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-16T10:25:15.532116Z",
     "start_time": "2026-03-16T10:21:14.000664Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 1\n",
      "\ttransmission = 28.5%\n",
      "step = 2\n",
      "\ttransmission = 37.8%\n",
      "step = 3\n",
      "\ttransmission = 41.7%\n",
      "step = 4\n",
      "\ttransmission = 43.0%\n",
      "step = 5\n",
      "\ttransmission = 43.6%\n",
      "step = 6\n",
      "\ttransmission = 43.8%\n",
      "step = 7\n",
      "\ttransmission = 43.8%\n"
     ]
    }
   ],
   "source": [
    "params0 = anp.array([4.0, 13.0])\n",
    "\n",
    "\n",
    "def report_step(params, grad, state, step_index, objective_val):\n",
    "    print(f\"step = {step_index + 1}\")\n",
    "    print(f\"\\ttransmission = {1e2 * objective_val:.1f}%\")\n",
    "\n",
    "\n",
    "params, opt_state, history = optimize(\n",
    "    objective_fn,\n",
    "    params0=params0,\n",
    "    optimizer=adam(learning_rate=0.01),\n",
    "    num_steps=7,\n",
    "    callback=report_step,\n",
    "    direction=\"max\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e16243e5-bfa2-42f9-a9d8-dcadb13f4a83",
   "metadata": {},
   "source": [
    "## Analysis\n",
    "\n",
    "During the optimization, we can see that the transmission is significantly increased. The final transmission is close to 44%, over 15% higher than the initial design. Finally, we run a simulation using the optimized parameters and visualize the resulting electric field distribution, which shows nice power splitting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6ea047c9-e173-4b7c-b1cd-00a5e727ccae",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-16T10:25:35.427109Z",
     "start_time": "2026-03-16T10:25:15.598404Z"
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   },
   "outputs": [
    {
     "data": {
      "image/png": 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fQOeddx6nnnoqL3nJS7j++uu56KKLuPbaa7nqqquIoog0TTnttNPodru8/OUvZ8eOHdx88818/vOfZ9++fYyPj/Nf//Vf/OEf/iEnnngi559/PkmS8N///d9cddVVi/Z/Oe2stTz5yU/m29/+Ni9+8Ys5/vjj+dGPfsT73vc+fv7zn3PZZZdVy5533nm85S1v4ZGPfCTnn38+cRxzzTXX8LWvfY0nPvGJvP/9769ik97whjcAsH379gX794lPfIIXvOAFPPShD+WCCy5g9+7dfOADH+Cqq67iuuuuY2JiolrWGMNpp53Gwx/+cP73//7ffOUrX+E973kP9773vXnJS16y6Dh84hOfYGRkhFe96lWMjIzwta99jTe/+c1MTU3x7ne/G/DuxcnJSX7729/yvve9D2DRGKs///M/n2ecfPGLX+RTn/oUhx12WPXdHXfcsWjfSkZHR0mSBIDrrruOZrPJ8ccfP7DMwx72sOr3Rz/60Quu67rrruPBD34wUg6+Hz/sYQ/jox/9KD//+c954AMfyHXXXQfAQx7ykIHldu7cyRFHHFH9vhDf//73SdOUBz/4wcvax8V41rOexfHHH8873vEOvvCFL/C2t72NzZs383d/93c8/vGP553vfCef+tSnePWrX81DH/rQeW7zk046icsvv5ypqSnGxsb2uz+BwCGFCwTugjz3uc91Ukp37bXXzvvNWuucc+7jH/+4A9yjH/1ol+d59fttt93m4jh2T3ziE50xpvr+Qx/6kAPcP/7jPzrnnLvuuusc4C699NIF+/G+973PAe72229fUf+X0+6f/umfnJTSfetb3xr4/iMf+YgD3FVXXeWcc+6GG25wUkr3R3/0RwP741xvLJxz7oQTTnCnnHLKvO18/etfd4D7+te/7pxzLk1Td9hhh7kHPOABrt1uV8t9/vOfd4B785vfXH33vOc9zwHu/PPPH1jn7/zO77iTTjpp8UFwzrVarXnf/fmf/7lrNBqu0+lU351++unu6KOPXnJ9w7jhhhvc+Pi4+73f+72B8wCfc7bk5+Mf//hAP+51r3vN28bs7KwD3F//9V8v2pdms+n+9E//dN73X/jCFxzgvvjFLzrnnHv3u9/tAPeb3/xm3rIPfehD3SMe8YhFt/P3f//3DnA/+tGPBr6/8cYb5+1TCeDOPffc6t/nnnuuA9yLX/zi6rs8z90RRxzhhBDuHe94R/X93r17Xb1ed8973vPmrffiiy92gLvmmmsW7XPg7skll1ziTj7+CGf//Y1r+vny3/yJu+9973uwd2/dCe7OwF0Oay2XXXYZT3rSk+YpDeDdNv382Z/92UCc0Fe+8hXSNOWcc84ZUDT+7M/+jLGxMb7whS8AMD4+DsCXvvQlWq3W0L6UitLll1+OXUHMxXLaXXrppRx//PEcd9xx3HHHHdXn8Y9/PABf//rXAbjsssuw1vLmN795nkIzdyyWw/e+9z1uu+02XvrSlw7Eqp1++ukcd9xx1fj08xd/8RcD/37MYx7DL3/5yyW3Va/Xq7+np6e54447eMxjHkOr1eJnP/vZivs+l9nZWf7oj/6ITZs28S//8i8D58EVV1yxrM9pp51WtWm325Wq1k85Tu12e9H+LLd9+d+Fll1qO3v27AFg06ZNiy63HF70ohdVfyuleMhDHoJzjhe+8IXV9xMTE9zvfvcbeszLPixXuQwEAj2CuzNwl+P2229namqKBzzgActa/phjjhn4969//WsA7ne/+w18H8cx97rXvarfjznmGF71qlfx3ve+l0996lM85jGP4clPfnIVnwPeFfT3f//3vOhFL+Kv//qvecITnsBTn/pUnv70p88zmPpZTrsbbriBn/70p2zbtm3oOm677TYAfvGLXyCl5P73v/+yxmMpFhofgOOOO45vf/vbA9/VarV5fdy0aRN79+5dclv/9V//xRvf+Ea+9rWvMTU1NfBbf9zfavmzP/szfvGLX/Cd73yHLVu2DPw21yW6HOr1+tB4wE6nU/2+Fu3L/y607FLbKXFrELdz1FFHDfx7fHycWq3G1q1b531fGofD+rCaF4bA3QS3HjMOrO3qNirBSAvc7VnuA20Y73nPe3j+85/P5Zdfzpe//GVe8YpXcMEFF/Dd736XI444gnq9zje/+U2+/vWv84UvfIEvfvGLfPrTn+bxj388X/7ylxfM9FtOO2stD3zgA3nve987dB1HHnnkqvdrLVksm3Ex9u3bxymnnMLY2Bjnn38+9773vanVavzgBz/gta997YqUyWF84AMf4F/+5V/453/+Zx70oAfN+33Xrl3LWs/4+Hh1Dh1++OF8/etfxzk3YHTceuutgI8ZW4zDDz+8Wrafue0PP/zw6vu5x/nWW2+tYuAWojRI9+7dO5AssxCLGXPDju9Cx3zYekpjfa5RFzjEWGsjLWR3BgIbk23btjE2NrbqSuZHH300ANdff/3A92macuONN1a/lzzwgQ/kjW98I9/85jf51re+xc0338xHPvKR6ncpJU94whN473vfy09+8hP+5m/+hq997WuVO3Ihlmp373vfmzvvvJMnPOEJnHrqqfM+pdJ173vfG2stP/nJTxbd3nKVjIXGp/xu7vislm984xvs2bOHT3ziE5x99tn84R/+YVWyYS4rVWG+9a1v8epXv5pzzjmHM888c+gyhx9++LI+n/70p6s2D3rQg2i1Wvz0pz8dWNc111xT/b4YD3rQg/jBD34wzwC95ppraDQa3Pe+9x1Yz/e+972B5W655RZ++9vfLrmdsjzHjTfeOPT36enpgX/v3r170fXtDzfeeCNSymrfAoHA8glGWuAuh5SSM844g3/7t3+b9xCDpV08p556KnEc88EPfnBg2X/4h39gcnKS008/HYCpqal51d0f+MAHIqWs3FB33nnnvPWXD9BhrqqS5bR75jOfyc0338zHPvaxecu22+0qU/WMM85ASsn5558/7+Hfv3/NZnNeiZFhPOQhD+Gwww7jIx/5yMA+/Md//Ac//elPq/HZX0o1pr+PaZpy4YUXzlu22Wwu2/1566238sxnPpNHP/rRVYboMFYTk/aUpzyFKIoG+uic4yMf+Qj3uMc9eOQjHznQj5/97GdkWVZ99/SnP53du3fzr//6r9V3d9xxB5deeilPetKTqhi0E044geOOO46PfvSjA+VILrroIoQQVY21hTjppJOI43jo9QHMe4H43Oc+V+3LWvP973+fE044oQoRCByCrMe0UKEERyCwcXn729/Ol7/8ZU455ZSqPMWtt97KpZdeyre//e2BEhFz2bZtG6973es477zz+P3f/32e/OQnc/3113PhhRfy0Ic+lOc85zkAfO1rX+NlL3sZz3jGM7jvfe9Lnuf80z/9E0opnva0pwFw/vnn881vfpPTTz+do48+mttuu40LL7yQI444YtFSDMtp97/+1//iM5/5DH/xF3/B17/+dR71qEdhjOFnP/sZn/nMZ/jSl77EQx7yEO5zn/vwhje8gbe+9a085jGP4alPfSpJknDttdeyc+dOLrjgAsA/uC+66CLe9ra3cZ/73IfDDjusSkLoJ4oi3vnOd/KCF7yAU045hWc/+9lVCY573vOevPKVr1ztYRvgkY98JJs2beJ5z3ser3jFKxBC8E//9E9DDYWTTjqJT3/607zqVa/ioQ99KCMjIzzpSU8aut5XvOIV3H777bzmNa+ZNwvAiSeeyIknngisLibtiCOO4JxzzuHd7343WZbx0Ic+lMsuu4xvfetbfOpTnxpwA77uda/jk5/8JDfeeGNV1+3pT386j3jEI3jBC17AT37yE7Zu3cqFF16IMYbzzjtvYFvvfve7efKTn8wTn/hE/viP/5gf//jHfOhDH+JFL3rRvBIgc6nVajzxiU/kK1/5ytAisl/84hc588wzeexjH8vPf/5zPvrRj9JoNPjyl7/MQx/6UP7wD/9wxWMzjCzLqjqFgUBgFRyUnNJAYA349a9/7Z773Oe6bdu2uSRJ3L3udS931llnuW6365zrleAYVqbDOV9y47jjjnNRFLnt27e7l7zkJW7v3r3V77/85S/dn/7pn7p73/verlaruc2bN7vf/d3fdV/5yleqZb761a+6pzzlKW7nzp0ujmO3c+dO9+xnP9v9/Oc/X7Tvy22Xpql75zvf6U444QSXJInbtGmTO+mkk9x5553nJicnB5b9x3/8R/c7v/M71XKnnHKKu+KKK6rfd+3a5U4//XQ3OjrqgKocx9wSHCWf/vSnq/Vt3rzZnXnmme63v/3twDLPe97zXLPZnLd/ZfmGpbjqqqvcIx7xCFev193OnTvda17zGvelL31pXn9mZmbcn/zJn7iJiQkHLFqO45RTTlmwnEZ/iYnVYoxxb3/7293RRx/t4jh2J5xwgvvnf/7necuV5UluvPHGge/vvPNO98IXvtBt2bLFNRoNd8oppyx4jn7uc59zD3rQg1ySJO6II45wb3zjG12apsvq57/+6786IcRAGY+yBMfb3/52d+qpp7okSdwxxxzjPvvZz7rXv/71rtFouPPOO8851zuGc8vELHTMTznlFHfCCScMfPcf//EfDnA33HDDsvocuPtxySWXuJPvt9PZf33tmn6+fO6zDokSHMK5Q0QzDAQCgUMIYwz3v//9eeYzn8lb3/pWwM84cMwxx/Dxj3+c5z//+evehzPOOAMhROVODRx6fPrTn+YDb34VV739OWu63q/856942SU/HBo7e3cixKQFAoHA3RClFOeffz4f/vCHmZmZOeDb/+lPf8rnP//5ykAMBAIrJ8SkBQKBwN2UZz3rWTzrWc86KNs+/vjj5yXeBA5hwgTrqyIoaYFAIBAIBAIbkKCkBQKBwCHCPe95z3UpsxEILI5b+5IZh8h5HIy0QCAQCAQC64djHaaFOjSMtODuDAQCgUAgENiABCVtmVhrueWWWxgdHQ0TBQcCgUDgLotzjunpaXbu3ImUB0irCUraqghG2jK55ZZbNsyE1oFAIBAI7C833XQTRxxxxMHuRmARgpG2TEZHR4u/JBCUtEAgEAjcVXGA7XuuHYjNbawSHO94xzt43etex9lnn8373/9+ADqdDn/5l3/JJZdcQrfb5bTTTuPCCy9k+/bta9Dh1RGMtGXSc3EKgpEWCAQCgbs6By50x20od+e1117L3/3d31Xz+Ja88pWv5Atf+AKXXnop4+PjvOxlL+OpT30qV1111f72dtWExIFAIBAIBAJ3OZxzTE1NDXy63e6ibWZmZjjzzDP52Mc+xqZNm6rvJycn+Yd/+Afe+9738vjHP56TTjqJj3/843znO9/hu9/97nrvyoIEIy0QCAQCgcD6UZbgWOPPnXfeyfj4+MDnggsuWLQrZ511FqeffjqnnnrqwPff//73ybJs4PvjjjuOo446iquvvno9RmVZBHdnIBAIBAKB9WXN3Z2wefNmfvnLXw58nSTJgk0uueQSfvCDH3DttdfO+23Xrl3EcczExMTA99u3b2fXrl1r0uXVEIy0QCAQCAQCdzmEEIyNjS1r2Ztuuomzzz6bK664glqtts49WzuCuzMQCAQCgcC64qxb889K+P73v89tt93Ggx/8YLTWaK258sor+eAHP4jWmu3bt5OmKfv27Rtot3v3bnbs2LGGI7EygpIWCAQCgUDgbs0TnvAEfvSjHw1894IXvIDjjjuO1772tRx55JFEUcRXv/pVnva0pwFw/fXX85vf/IaTTz75YHQZCEZaIBAIBAKB9cQd/AnWR0dHecADHjDwXbPZZMuWLdX3L3zhC3nVq17F5s2bGRsb4+Uvfzknn3wyj3jEI9as2yslGGmBQCAQCATWl3VIHFhr3ve+9yGl5GlPe9pAMduDSTDSAnd7xCLFh90SV/pibZdqv9q2S7VbrP1y2u7PdlezzdWO0f4cmwO9zaXaLdZ+tW2X225Y+5W2DWws9uceEejxjW98Y+DftVqND3/4w3z4wx8+OB0aQjDSAoFAIBAIrB9lnbQ1XeehYYAGI20/We4bzd2d/VWFhq3nQIztsrax0NQpzi3dfpFpV8RS95hFtgtL9H21fV7mNh0LrGdu+znbW/D49rcbsn9LnhdCDNy0+/u5aLu5qxnSbjltF1Opltv2YGyzn3Id4Z5290Eggpp2FycYaYFAIBAIBNaXtVbS1np9G5RgpAXWhLWKd1mXt/ilJhFeSDYf2k4Cdv7vc9cxr+3ckoS2t8yibYeUMhR2mdtdwTbntV3gt4VUvIXazlG4qq8XUtGGbGtRxJD1LNVusf3s27+hauESSuOK2w5R/5bd5+W0XcG5vyxldBnrWVX7wNqzkdyBwd25akIx20AgEAgEAoENSFDS9oMQuzGcBZWE/V7x0grI8tr0qWFzlxm6nrnvMv3/HqKqLdp2SB/6FaClVLRhbcs+L9l2zn4vypB9XIil1JIF1LRltV3Ndhfb3kpWv1wVbcg291dpXNY2l2K1bVfTbsVtyvNruefjSte7Xhzo/u7H9tboOlgLHCufIWDJda71odigbGgl7R3veAdCCM4555xFl7v00ks57rjjqNVqPPCBD+Tf//3fB353zvHmN7+Zww8/nHq9zqmnnsoNN9ywjj0PBAKBQCAQ2D82rJF27bXX8nd/93eceOKJiy73ne98h2c/+9m88IUv5LrrruOMM87gjDPO4Mc//nG1zLve9S4++MEP8pGPfIRrrrmGZrPJaaedRqfTWZvOCnHgYy/KbQ77bAAOuMq4rP2W9E55Oeffc9az7HHcn0togW2v63blAdjWkHE9yBxU1ftgXJNrvs0FrpdVtZdDvl/tehZa73qx3O0s1c/VrGeFbBAVrcK6tf1stP1bJzbWnbRgZmaGM888k4997GNs2rRp0WU/8IEP8Pu///v81V/9FccffzxvfetbefCDH8yHPvQhwKto73//+3njG9/IU57yFE488UT+z//5P9xyyy1cdtllC6632+0yNTU18BnK3MDljWAobUCjbR7r0ceDtp7lXUai+N9q2i6LA3HTWiKAfd03zzKM6PVwH96VDK01dZGuhfGzFu03muF/sI3FJdhoBkyZOLDWn0OADXA2zeess87i9NNP59RTT11y2auvvnrecqeddhpXX301ADfeeCO7du0aWGZ8fJyHP/zh1TLDuOCCCxgfH68+Rx555Cr3JhAIBAKBQGDlbLjEgUsuuYQf/OAHXHvttctafteuXWzfvn3gu+3bt7Nr167q9/K7hZYZxute9zpe9apXVf+emppamaE2pKjnmjI0WPwg9WWlDOvzWgW5rqR8Q8Xyg5jXotTIQsVL52Orvg3fbpEIcEAChJebdLAh3/vWgZUkYWxQliwbs7+sYSjAIc8yz7WDfW9fjFCCY1VsKCPtpptu4uyzz+aKK66gVqsd1L4kSUKSJAe1D4FAIBAIBA5dNtTryve//31uu+02HvzgB6O1RmvNlVdeyQc/+EG01hhj5rXZsWMHu3fvHvhu9+7d7Nixo/q9/G6hZQ4I6xUjtpq3ibXqx1rHla1oPesRB7KydQzGl92VVIMDtb393M66x4Et3L+FVc65ySdlg+WUGDkYMUur3d5C7VZTwmUttnsoczdQ0Zxbh8/B3qkDw4a6Gp7whCfwox/9iB/+8IfV5yEPeQhnnnkmP/zhD1FKzWtz8skn89WvfnXguyuuuIKTTz4ZgGOOOYYdO3YMLDM1NcU111xTLRMIBAKBQGD9cHZtP4eKkbah3J2jo6M84AEPGPiu2WyyZcuW6vvnPve53OMe9+CCCy4A4Oyzz+aUU07hPe95D6effjqXXHIJ3/ve9/joRz8KUNVZe9vb3saxxx7LMcccw5ve9CZ27tzJGWeccUD3r2LJ4qkrZF4R1BX2Y63ewNZqfWsRY7XEeKz1NFZ+HcPilHpxZQeElZwLG6jYpWe1cV7LbDe02O8y2lbtVngcl1WYeKVtVzI+i2xzpVORrYjVKneB+SzjeG+oaziw1mwoI205/OY3v0HK3gX9yEc+kosvvpg3vvGNvP71r+fYY4/lsssuGzD2XvOa1zA7O8uLX/xi9u3bx6Mf/Wi++MUvHvS4t0AgEAgEDgnCBOurQjgXzPDlMDU1xfj4OKCgUE+WVbNppayzgrSm2z4Qtar617Pst/2F3j57bYYVN+0pasPaz8+yXIu2i7dbuO28dkPHabDtoGK4WLte2/nYqs3A1F8Lqk2D2yn7MPzaGZJlO6zdMtusuI9ztrd0u762i05Yv0Rs14raLrfd3LZzzq9VKWlLqTqHnhq2miLJy1fulxjvZd6vh2/PAYbJyUnGxsaW2Z/V8elPf5r3/9XL+daL/+earverv7iFV3zn11x//fVrut6Nxl1OSbvbs1rDZ+4yB9v9ueJ1LVAGo3TJrbhC/srdZuWcoweyvEJvm32s1n29IVlumZC1cLHt5zFb0uhZAUu2W6S/6+1eXVdX592TAz9jxSLn8gruz/sTyhHYGAQjLRAIBAKBwLqy1hOiHyoTrAcjbS04UMrHcrZRvmUt6MZawXaWemNbzn6vWEEZoqgtso2F3YD7q6wsJ6BcVneK/VfhVtZuqAJXssBxWbTNwWDB4zp8LNZPzZi/vQOmnKxLQdn9KX9xoLe5MMs5BgNu6WWy1DVwUOd5DQpaYA7BSAsEAoFAILB+OMKMA6skGGn7wcBb3P4oV2vJMBVstXFqazlV04rXs/q4MlisJMbcBv0FSe3K1aay/aJth5ThGKrC9bFsdfZATg1VsGFKdwxTYdfLB3Iw1KkVsN+xc2uzfwsr28vszgpVrNWoXgdTKVt8PBY4d/crQWADsdaX5iHi7gxRooFAIBAIBAIbkKCkrQcbITtvmNqxmn6tZYHaFbMWysgK1lGoW8MVsTlqmFjs/WaJbZZt+9S01bCaGLNhbSpFeH+LIi9z+/MZNpb7cewXVfoO9JRM69T2gO/f0sdifxWqgxsLtgLmqO/LZeFr9W6uoAE4cGvs7twQYv4BIChpgUAgEAgEAhuQoKTtB4u++e1PvbK14qDEpy1SfHOpTQyNZ1mgflr/8kNULVG84c4v4LqEGjagpq1chds/5mzPORDrNa3U4LYWypIbXgh3sXUeKBba1uB+rY06M78I8krUi5VPQbba7e1/XNlqt7c/47whFbRFlfIFllvk+l9rFW0lGaobRmkLMWmrIhhphwIrdn0uUVh2QRZyWw1Z19wuLmAg7G9JjeUbW33LDBhcKzPUhLMLJi0MNYTWxLhbpEuregAuPrvCcre5Fq7Y8pxbrC/LcvsKwVoaWwMMLaOxCoNpgT4ur13fPxfbt3kJTsO3NzimK5+BY7lsCANtuQbZKlk4mWjYwgufj8s5VzfEeC7EBrEV72oEd2cgEAgEAoHABiQoafvLMDVqI0Y0LqSmlb8NZcjcf6tOJFimIjWkJAYML6kxX5nqd2X21rH09uX8ZQZUsRKLQw55W11k3csq+DtsW4svP6i+9ba/nOKeCypPSxQNXumb/PLaDCoyK02GWE27hZMXzIL9W5iF2i22raWZ227p/Rvi8l+szQLq21qyWH+HKsoDjddQXV5npQxYsL/LVtH2Q0Hb0OpZiXNrnzhwiEywHpS0QCAQCAQCgQ1IUNLWgwOSLLCUfT3kbW2/ipDOiS1bwVRNsHQSgG84pOArzCmLsdz3irLI69w4seW0W6SPJc4W/Zuvws1TMJxj+S+7iysza1W+o7e+4efEct7OF1Qx5yyzogQMlqMArU081LxtzR0LMagKrmbdi25v4IdVbms/+7h0u2XEo62wJMXA9tZC5ToQStkqGF7GZ+5Cq08QuEsoaP2sdejtoSGkBSMtEAgEAoHA+uHcOuRHHSLZnRvzFeQux4EaRtn3WeWyQsxXwVakri1W+mBhhqsui62rr++rflNeIlNu0bvGatQauUhf16cY6F3qbXqe+rrwGPvvVnbcV67+rZ4F17MSFX0pBVMsdj71b2tYnOSQ9a2g3cIsoqL1sZACNNBufxWw/V6HXMFnEebcR1zxv0FWHoe22Bjepa77wH4RlLRAIBAIBALrS3B3ropgpK0SQalILaYKreVZuVZTzPTFlM0tcruACjC/MOIy47aWzNScv/4F+y5YoEDt4HKib5vOFYVgBcuLlSnaunLZKu5reYVfeysq4+CWYvFxXM52hu3Xgu3WZBqqhePL5qkrK9nWauOa5mzL95HB81uI4W2KdktlTq5mv4bGXS3Ubtgk52LO38sdy1VOWbSqditUsYarb0PuTWu4zXX3cgxR0QZZm3pod3nlbB3cnetYXnJDEYy0NWDhm/zqXV/LW89q6DMM5pbTqAy1XpX7YaUAYGFjbUE3SN+/Fy83IQcMLd+tQWNrofGe227A6BISXC8gf64h0992sXbzZi3oa+OGGHTLS9aYY0gu1GaZD6gFDbTyv0Pubr02CxgKq3lwL2ZczDWc5q7DLTyGQ8+xJQsQr/AaWkn/5rGfxtaKDJEFtrXguue4OlexrcF2y3thm7+tlR6PYcsf5Gid1RhoywwtucsbZYE1IxhpgUAgEAgE1pfg7lwVwUjbT/qLaQ5jZQrb2rHYm9g8FWw5ZRiGupX6p2xi/rKLuIBXMi1PT9lima5L1fe3oVRWVloodbDdIm4+0XO1Dqp+bsE2i5esWF6/5n+3QOmOBdWS4fu0WoVlwW273jFYvH99ywxrJ4acjwPn8TKUqrnbWrTNalWqFbSZu615atNSLtJFlK0F920xVWq5itjcdSzDDb7gtpdYx/4ocMP6s1Cyw0r8Z0suG1S0wNoQjLRAIBAIBALrylpPxLMRJ/ZZD4KRthYsEhi8MoVtjbqzxJvY0KmWFisdMDeupvxzTiD/sDfm+fFlUC3Wl0wwHzXku55KJeaN9fBYMVB9QuGgmuZwfj0Dfextt7/dcumpaXNwDkQ5rVRv2f6fl6cSzldMhiuEw5QZet+5RQrmDmMJlWq4WrJAcd9F2yxzv4b+PSSGcFH1rafcLKpgDlP6WGi/Fhn3JVh4PBZW+hZWqRbft0UVsaHn4fwYtnmJNotRbGuYitVrP2c9QxS0hVSwtWDZ+7OOsWh3W9ajTtohMqQHOfIyEAgEAoFAIDCMoKTtLwuoTPOY8xqxlNq1pkrbAv3qKWGLxKMsFl9WJtkNeeuG8s10UBEbCH+b98ZebkP1tfc4Zwdj0xZUFwbb+rfiQk2jXw1aSHkbRAjp1S9ni/ZmniLWv10whZoGgvllOFZSpHV+TOBCqtiQ7NqBv/vbLTMrceC7uXFiC3V4bh8XU4H62xR/DhyzpWLY5isr886LeUVbF2gzNLN2riI2JOZroV1aUN1abnzi8HivBdW+IeOxWBmZfkVseCZ1bz9cf3/6xmJuNvRC6lO/Ytdr07tWFmTOuA/2c67KvkJVeA0JKtoKWGsl7RApwRGUtEAgEAgEAoENSFDS9osV2LgrUNlgZRk+/W9zS7ebq/xZ36JQnBbKRh0eS1JttE+JGHzznd9OAlmv/dyEuLnt+4rZ9tcmHVDF5sWVDa6v95bfi2fzqyoVMVuUiJurRpRrscU+zn9jL9XCuW16iqEEYee9Tc9VGavly6zQvjYL1XPz21tuDFv/vxepNbeCuKjFiu3OzXStlMihqscCyozoUzDFkGtkgTEUlNvy25+vHC2h5AzUSFtKoerb8JKK2MLMjRFbTnzUYopYqeYOHrdh/VtA6a6u6fI69GMxXw2Dnno8xFswoKL1VO5S4V5YBVtYjZ/PYuuZ29dhDLadvy/LlWyCirYQ6zF356EytMFIWxNWI0j2u2VW0X4BF9c8FnUb+O+roq3YQdflgPtqvgvS74OZZ2z138jFsLERUeG+HP4Q6jfQyhumKB72vZu77XuQ9GOY/+AZ9sAazoBxWO1Tn/uyZwnQf9z7jUkoH3RzZx4YfPAsL1B5mIup38iYa3gCQlQPyCWNugWL5i5m3C1kbJWb7+3n8ssaLGYs9LY1aCyogf0razFXbuk5/RciGuhftXy/cTzHJTjc+BkWFiAG2i3pOl6EhQzWpUuFLDyGZQHpuYbTQi9R/WM/OBZ+zMvz3RUvOPMMnYHtRAu8dPVdy3P6MHAPWeT+2DsWSxlii7GUkde/wUPEx7YOhOzO1RHcnYFAIBAIBAIbkKCkHTRWax8PuhXnsaw3vbmqWNnG4LB9/5YDqojo+7d/u/fLgMW5bN42em/qc/rq8j73ZZ8i2O8SmbNt346+N/DetqvV9iUXVOtE4rBVP+arJhacGFDGyrd9KXSxnxGQ4dBF4oDo264aUCREpUyCcz2XG8L2qQuDaoQQEtun6lTuur42iypH/W63clyqcR/mlirHvV81EitysS/EXLVvnpozr9TLkONc7kOh6MyttVyOhRR64HwsxxHySvHz+6arY9Sv7A6Oe/85xQLjV7ZbQAGeM37z55GlT10dLgMsv8RE/zGGudd0ub3qeA+Urek7n+a4mp2zuKpsTf85Wyhic0MfqmsSIO8pfn1tpNDz923etTykb3PuOf375VdhF09aWMZYzlfilp+EsJ5llO5+CLBrXKR3rde3QQlKWiAQCAQCgcAGJChp68xqiy8OpMLPUxjmL9NbeFjcy/xYqH4Vx9FfisPHmfXwy/u34X7Vo9y+xWGLNZh5bcSct2jfRhdqkcUO2Vbv7XluPBDVG/hgLN3CuIGx6BW27Q8uL4va+jfzclt9cTvFspYcXN4r3tunzohCrSnHxMev+Tgx4fJCGfPLDVMWRBn3VsRU9QLme4pO/9j0K0e+TT6QaODHffBY277YoQEVQPSVBVnG+SoQVWyej3Oaixr4e3jclxzY1jDVxBb/71yGGFCQVXVulcfAOYtztjiiBkdeFCoul4mQIq621TtOEldMPyXov+bmj5+PvyrjqPI5+zyowC07lq1aYL4q5ukF5S+lvs2NZSuvkYHxr36bP4ZQXJ+WwfNqQBEbjGWzNkdgseQ95bg4z/u30d+/cuyHjV/vWOnq+0G1lL51LDIWy9Afegr7XEVteCLEquh1eP/XdVcmJA6smmCkBQKBQCAQWFecW2P3ZDDSAvvDahW0xdvPzd4altFUTko9XI3rVyzEnJge/9+8eGsv45X8slLGfe16b9EOW71N98pP9FQ0OeRN3brctxEgiAbiZ/pVqf5+e6Wkp6a5foVmyBj092VwDEr1zKtpOIHDVKU4qn70KV4A1uUIpzEYH1NXKCrlfioZz9tH52yh6vSPeTRPAaLqVd6LFyvD5PpUjAF1r1AyJT3VY3gsUG//y2UrFaMavP4yFYudt7JSY3Cu2GapjJXnYi9urowH7I8rEwPL0mvTd072tubj8qyTWFv2259bUsbFf3U15n7cJc6WyrDtG7v5x8hRqEaAjzkszzndF3/V609PMSpLU5TTmhX7M6AYzS+4Ok+dGSj10TcWc+IO58dJ9Yrzzo1V7FfIiy+K87BU/nz2c/+YSKkH1MIcEE5iXU6/Kq5kbd6yAr+cBJzIKM8fKZKh11GpXllrB1Txas+KdlLGA/sD4IS/1ywUhzqoxC52Hpfnf69P685i0+6thENFPgpUBCMtEAgEAoHAuuEI7s7VEoy0/WKYKrASVtZ2mLo2P/aiUBYYXoesVFek7FO5+tZhXV6pQOVbqhDSv3GLCNWnchmZY22GFTm58fErDjugomlV92/GSGwR0yOcrN7ARZUl2uubkr3YIejL3CuUJq/AlTFcC2VlFbFXzisHAzFPApzTvRgj163uIH4s5EDfyz5Yl+FDv/wYKRmjZA0lY6K+Za3NMcUYeqWmp0ZIGVf7V67XOYtxftx68X2Dx0wUqpEojl2vTznC5liXFuKBV0mUqs1bNjedXsyWA4QayH7s75PPeu2PA+upTFVskBM40X+nlIPjTJ+aVsY79qlJA+pu0YdS7SrbWZsjXD5wHihVq87HSNWq34zz56Mr4vmcsEjhlSJ/rJKB89C6rDgfexmN5fjJvn4AVV+k0D3Fc45qU9ZhG05Zi6uITexTnvvj2PrjFXtZwlDFOQ5krA6pPwb0K7XlOMriPHPFWJYqWqSbKKFRMinGzSBFhLFdjE1xLq+WjVWzOAdVMSaGzHSKZXv7L/DHqLy/yOJ750x1zTlh8ReTV8WBAYW0dw9Q89rN9RD0x6+V5/vc+2IVd+v6Ff8yg7W8JyxhRQxklh4kC2EpRe5QsVwOIYKRtiaU7o8ew8pBDLK4gbaUQbZQMsGwdv2BuqXxJKUmkvXCWIt6D0WXVUaGLcpqCCSxbvqHoqxXN+ncdbEuw9guQHFTt9VDUYrI39iFHrjZ5qZNThfhykK1vm9K1ooHdTLPaLAu67mxXGHQzblflS4sv7+mzxgoHgJ9D95+48vYFIp2pRGlVZ2anvAPMCJsMTYduY/cdr2LR2giVUfLOnW1qTIArMtIXduPkWlXhquSCboYFyGkf7iVhkVpwAqQDBpxPSNZI6U/BiWZbWNthrEpxqbVsokerbZTjp8Qktx0itO133DtJT04lxdupXbxILJ946Wqca/6iyke/L3g/LkGQmmIDps1oDqDi5eG0hDoPdgtxnZJzWzhfoNINYlVEyUTanIMicSQk7sOef+5iCVSTXRhoJXjVp7bxnZ754jrGaFzDfSyHzntoa69YaUp+kMG+vaS/sB3IQYTbbxRHc9fT+nGdRGiz10p5WAiROU67xvL8lhYm/s0Hdv1xqb052NDbyaSDSL82FgyOnKKzLarc6s85+pqAi0SBAqHIXddOmKK3GiyvpCGcvzKF7ryflEaxaYKBfBblOW4S42WNbRMUDKpxsC6rLpODGlvNPte6nohFoP3VVcUNS7PHUfP0CuvrcFyJXfxYrVzjbiNYrStR+LAXfxQLZdgpAUCgUAgEFhX1jpxYFhe+d2RDWWkXXDBBfzrv/4rP/vZz6jX6zzykY/kne98J/e73/0WbXfppZfypje9iV/96lcce+yxvPOd7+R//s//Wf3unOPcc8/lYx/7GPv27eNRj3oUF110Eccee+wa9n41atogCy07XEHrdxUNBs72uxh6b9mmCvSVMkLLmESNoUWNiDqyeANNXQvrMnLXJbPtah01OUYkGtQY8etA0ZUtv5xsAZCZNsamlftPyzo1NY6i5yIxZHTEFMr69ZeKg0ASaa96aNnwQeOAcVnhgs3IChdpvxt2rqu2XJ8PMO4dl7lv6ZHsKSWlMlYqh0omxHKEcbGDmDp1V8fiMCJnMrmD1LXIXAtFRCxGaDDOuN2ERpJj6YouHdnizvgmMtvyio6sE4kGmgQlIhyWjp0kdW1y20KYXjFS1RdondsU5wxaJmhVJ5J1amIcVRzfsi+ZbWNst1I7G3ILkaghnSQX/njOyNvIVbtap5SD7uvcppXSYoSu1IdSbSsV0l5Jj7xQujpF3zWRaiBlhKSXGJHb7pxEFDXvvJTCn5N1vYVY1NGiViiYBuMyWnZPpdzW1CZqYowaI4y5CZTTZCKjKzp09CyTIvLnFoaa2kQiRohFg9h5tagjZ8hdl66cqc7bsg+l669frSzVUcCPj+tdg/0u2l7yjVdny0fI3GsUBoPVq+ScQimVQ1S5cgzLc7909fa7Hku1rNyHhtoycL4Zl5HTpWv9fseiziZxJE3XpOHqSAQ5lkk5SUtN03aT5K6LFgl1Mc4mu5XIRkgEXZHSFV32qluK6znBugxZJGokcqRStZwz1Rgal6FcXinJPvlIV0pzTY+jZUIkGtU4ZdbfZ4zwLliLF4y0qg1cy+W51a+euUJRL8/5Kvmgr9j0ahS04XPfzr1/bwCpRwiEO4ju2cB+s38piGvMlVdeyVlnncV3v/tdrrjiCrIs44lPfCKzs7MLtvnOd77Ds5/9bF74whdy3XXXccYZZ3DGGWfw4x//uFrmXe96Fx/84Af5yEc+wjXXXEOz2eS0006j0+kciN0KBAKBQODQxYGzYk0/h8qMA8K5jeK0ns/tt9/OYYcdxpVXXsljH/vYocs861nPYnZ2ls9//vPVd494xCN40IMexEc+8hGcc+zcuZO//Mu/5NWvfjUAk5OTbN++nU984hP88R//8bL6MjU1xfj4OD6WrJzAWvg32XkK2PxClvMZNt3M4kra3Di0/hiQfgVNFTEhVaB/EUPiY0EMSkRokTAqDiOmTsM2K+WqK7pkIiWlzSx7cVgUmhG2UnMNxtyID10Wgo5L6YqUtmixx/2a1M5gbLdSohIxwghbiF1cxSflImeaPWS06doZOvm+Ym8k9WgzWtSoiTFkMT6Z65DT9cqHmaoUjfKNXffFrpT714tLGxzbWI6gRUIsGjTdBNppFNrHM4mcjC5G5Cinqbsm29nMiNY0tEIKyKxjMs2ZsSltumgUDZEwqiK21BRaCnLraOWO2dxwi9lHW7Qx5IzacRJiEqGRQOYse+ReWsIrFh075Y+bqJGIkWq8OnYSQzag2m2xW4jQ1TFoiw4d0aIjZohcQsONspVNREIiEWTO0HY5t8lddJjBkiGJiEQN5bxqZ0ReKSfWZZUS1R+vU6p0Cq/iGXysUGZmKoXHq7OJV8uQWJfRtTOVclS2r2LOCoXHYdCixgQ7GbGj1EmoFYpihmUvU3REi0x0GbWbGHFNxmTCpkSjhCA1jpYxzJqcm8WtdIVXd8ftVpquTk3EJEKRO8us6zIr2rTENHvdTZVKFUmv4Gn8OQJUSl5Ol5bZg7HdSpURQlXX2tyYzkqFRqJlQk/5nT9heP91qoVPbhCoSi21zmDJMOS97aKpM47Cx8MZMozIyZx/8UxosNVur/a7PA+6zjAppgCIXcLheozRSLEpKZRrC3d0DJNZxqzr0hZd6i6hKRIOqyVEEqSA2cyf4zfZPcyKSdpMAqBFjdjViUiK8bP++hUZmWtVilrXzmBdXsVlegW9zqjaQUKDGs2q/azYR9fN0LUztLM7AVBCU9MTRLJRXS/+HpBhyfx2y5hZl5HbdhXXViZH9avtc+NZoT+RoO9eMue+cnAUqhUqdEXR6TlfAobJyUnGxsbWqmND+fSnP817zno5/37q6Wu63it33cLrb/0V119//Zqud6Oxodydc5mc9Bf+5s2bF1zm6quv5lWvetXAd6eddhqXXXYZADfeeCO7du3i1FNPrX4fHx/n4Q9/OFdfffWCRlq326Xb7Vb/npqaGvjdV1pfniW/UrfnSqhu/oXcr/qSAiLRYIQtSBSGjFx6t5cSEZFLmLBbaVJjVMWoIuA0tU3aLqfjUrRMKiNtk91EXWgmYr+sENDOYzrWMGPrpKpNWyRkskUkGtTFOA03yrgdJyoeEhZHZg1aaFpi2htYxRmohGZEHkbiGozY0SqQOxVdUpGSyjZKRBiXIZFEooESUeXCgiLbtC/LszT0ZJFNmlAncjF1mzCh6iRKVvttnCOzjo7NUULS0IqdTc2IFmxOfG5i7gR3dGOms5h23kQJaEaCsUiwo2aJpaVjBbO5ZF+qaMxsoWV8JuVYXVHXklj6WN7UOprtiEkzzrQYpy1niUhIXI0R26jGa0rM0BUdJJKGbTImGuyoJ9SUQAlBK6/TNqO0c0Pb5kRIRrRme11TK8a2k0PbOEbaR9GyGQZDLCIiJ9FCFsfFMuVaZCIjkymZ9IaLFb1ZISSKmmuiC8MuFzmZ6NKWUxj8cakzTkx9YJlZvQ/jMgSSBuMkrkbkIoSTGGHIREpOjkZzuNvKaBzR1JKxWGAd5Bb2dBPauSGzhqaKGIsVY7HgsBpEEjpGMJ1JprIINbOTlvXG/FZdp64lDS3QUmAc3NnRTOcxUzYhU11y4a/zGiPeQHMxsfVGRiYyMpGS0cUpSyZaKOmX1yJBC++aE0gs/voyKkP3GWmJHPGGWGFQlaEFZdhA5BIU2p/XLkY55f9msL6Yd2ZapJNoJE2REEl/Dhvn/DlcZArHQrGjkdDUgpoGLQS5c3Ry2NOt4xzESnBEU7EpdmxLTPHyILi5rdiXKibThE7uqGvBaCQ4vAFxcRvbm0r2pRIztZlJW2dWjKNRJDYmFhEaQY4jc4YZMUtGSoa/n+QyQ4vEu/qlN6S0KEIM2EbDNmmIBInAOEskYlqijpIaIv9CF8kG4+wgcTVqtkx6sHRkmy5tMtFFk5CLLplrYVwX6SROKHB55WJezM3Z+73ITAaquUnLZYpnwIE11jagWzWwbmxYI81ayznnnMOjHvUoHvCAByy43K5du9i+ffvAd9u3b2fXrl3V7+V3Cy0zjAsuuIDzzjtveZ2tiohWvWfp+DSfpbWWlLE+5QMhESM4Zznqf4zjH7GamDqKmMhFRC7qZSQK/wDQIqdGhKTJ0W4bEol0kpheeQFXFFVwolssLxnlcAxboNiSEgmRS0hcvYrfMMKQk9Kgi3GjOJoo7oESERKNFuXbt8HhitgSjRDlm96R/u27yOTDWbRsEIkaiatTc43qpukVrJRcZAgEsWuwxW6irjSxlGghsM6RO8esyXHF0RiPYupakChBovz7Zmogdd642ixgh4JIeOMAwDhILVXeWV1AA9jhvDLRtdDKLca63pkhYMI6cgeZNXRcTo6P3ekva6HcdhSSmtDIQhnzY+SXOazYF60EWngjxDpHavwSiZKMSm+g3AvoGkfXWPZkbVKRoZxiVNZIpEQKQWYdbZuzW+yiywwCxZjbSuISNAqHIxUZk3IPplA1E+6JxhsXTlhyTPFw7CAQ1LgHmgjtIgQCg8EKQ0ph7BAzbseoSU1TqSpr11iHASIHx0i/f5EUxEpUSWzGOtrOH4M6/nMYDmshd35fjetNqSSBbcAW58gxHCk3k4o2metUmYPl+SsQyErRMeRuM8ZlGJeSuXZ1TcdylEgkaFErXohyUjtD5rpYlyKEIhYNIlGnwQTKFSqx8AqTKSaEj12NUTtOjPbHEsidISUjExkazRh1YqmJpNeOUucN7I7NkQhiqdgcRyRaEEtfvDgrzj/loCEFx0T+3I4kaOnHbsr4/wKMC9iMV8ysozhH/bnTKZaJhB/HkdyRWkvb5OxlhlT4TGlNVJTaEaRihFx0adt9GHKsM0jGevfMPqNHyxiNpEaCJkI6xQ4msMKQkzHDHnLbweKIZZM6o4zbzWh8OZmO6NIWs8ywl5v+vxnaYgqHJWUWIeyQkkWDeMMMVjLROgwWJD7w6trcZ8/GwxESB1bLhjXSzjrrLH784x/z7W9/+6Bs/3Wve92AQjc1NcWRRx65cIOhhhrMnWtzMUNtKcVtOYpclcovIp8izxS58w+aHEhpebVNKJT0b/CiuHiccN5FQO6NgKJkghT+oaXQSFcGKlsySldkSmqmsUXAbqQaaFEjEzG5TFFOY4R3MeRkpHaWsgK6xWDI0SLGOVcZdA7jDUGXY6uA7L75EoVEibh6+A+UIXGCGjUsfp0K5dWH4snunEMUhotyAikibOH1t87RLeYutE6ghV+zFv6IWqCdQ6fvewSoYoYAB+SmfLA5TGFAyMKQqowLh98v5xBCEKFIigeNlmV5EMj9HAf+kVGcY5GUxIXLmaJPqXF0K9ekQEmvtEXSPz5MYRAa63DOMaoSIEEKQVws65w/B2pSscVsI2czFktMhEIihPBj5wQjdoJc5H3H0df0kgg0Cunq6KJ0SXlsLJbEJcRECCdwNCtjEyB3ltRJNAIpIFb+gVka06lzpBa6RiCFQEo/V4EFMmurfezYHOuKF4k+xbs8qzqiQya7pKJD104XweilEednXhCuW73AOHzNuJzMn4+Fm6wsFaJEjNe2SoXMz50aC4lzSRFeUEO7GO10FVqAS5Bo/3KEQjqFqsaqCKwQyhvHLvHniVRo4ZUxJQUR4JA0TTnrgTeu/HXrz8tIQiIlufPrzR1Y418eIum3o4q21nnl1VIYaHa+weEctI0f72mT03XeiLTCeGPJFe7w4qWsxSS57ZAX6qK/T2pwxt9ritI9fr+dr28nNaZIMLDCl/vIychdCkISi5gRNhG7GhG6enkRTvgwCCISV/PudLKiBqEBt9pSG3PUtGow5q9nIQ/LgTHeNr7BFlgZG9JIe9nLXsbnP/95vvnNb3LEEUcsuuyOHTvYvXv3wHe7d+9mx44d1e/ld4cffvjAMg960IMWXG+SJCRJsuDvgL9b9V+P8ww1mKuqraXrs8omY/g6lfBvs4kYKR5Phq6dIbOFMSWbRCKhgX8TlVaRizo5KZnoMmNuq2obJWqcWDSo490a0MvUA/qqF4FAFY6c3oNL4hWSCIWUooj1yb3h5Sw5KVIopEiIXa/oaCpa3hC0HTLX9jE+IqEmRomokRT1nUSRxSicRAlF4mIk3p2nEAhZGmjeWI2BSAiiQnGgUAxmcktufVneSCm0gs1x78E3mXojrW0cqYOaEjQVbK05NNB1glYOsznM5A7n/AN1IvHbUcK77zoW9qXe6IHC8CoMuZoqjTTHbC69glEYBpGUbE40NQlSepWvaxzt3DJrLZGU1KVgW12SFEpK1/o+z6bGG61SsCnWxIWBmVpv5HVyixCCWAgOU4ULyTlmjSF3FuscUggiNE0xjnGWzFmmxIx/SGNJXJ24UGglAoOlJdrVA0qjqEnt91eKYtx7aqZ1DikFTS0ZibxR6xxMpr5/HWvJnaMmJYmQTCQ+v7FjFLO5YyYzzLpOpTxNiCZJoTYa5+hYS5sWHWbomElyMjQRkUiIRM91npPhY5XyIiYsJ8tnq9i6RPvM6Fg0iKkX7k5TxY1pfMykQpNQR1pVjEjPmIiIkM4btUIUvxTGv6BnkJUGd3n+gs9urClBJPGqmui9IHSKlwwpoK78pya9Ktk1gju60DV+rJNY0NCwKbYI/DWwuyOZzmAms2TWUtOKphZsSvztzjq4vSOZSg1TzJDLHOUUE27cx0EKQcfmtF2XlrQYl2KdIZGjiGJMXBHrlzkwRRydkjF16d3lNetfLI0wtNy+6h6gROzjXV2TcTtWjZ1z/g5nhUUiCtd16u9RffdfX1OviO91vW/LeoC9rNthE62X6+mf2mtxg62f5YbHLIe7XLamK4L913KVh4gNuqGMNOccL3/5y/nc5z7HN77xDY455pgl25x88sl89atf5Zxzzqm+u+KKKzj55JMBOOaYY9ixYwdf/epXK6NsamqKa665hpe85CX73+e5sWkLGmrQP6dmz6hauZoGZc3CooxBUZzRkuFc7JUdfLyWw1JntHBpGnKR0jWTpGaGjpiipseoqTGki4ldTN3VyMhJpS+t0bHTWNvxwd3C+AdN4caQojeHYCyb/gYsYuqMoopTKyfzipvLfDh0YRRKJFZYunLWJwe4ThFvpklcHV0ofC0paePoME2ru4dYj6CjOmNuK3VXQ6PIMXRFypSYxJITUWOEHYwoTV0r6trHNk2lhlae07EWJSLqWjOmYUfdooV/QP22LdnTcUxnOVEuGdOCoxopIzpHALd2EnZ1FJ22YCbNqSnNaATHjrSpKcNkGnF7N2Y3kt1tRyK9IXGfEUNDW5Rw7Es1M7kEJ+kqX+C0oSGRPuYnUaCEN/Cmc8V0Bne0vZFR04ojGjAeWWrSMmskd6aS2zqKPbNdIhkzHkuOG81pKsOsUdyRana1YDJLaaiILbHihHFDXVkcgt+0NLs7gj1dQ10pNieKnQ3/kM8t/HpGcmc3Z8Z1GZUJ45FmIhE4oGPgplnBpJshFR1GqDMeRdS1JFHefXpHJ2bWpuT4eLLxSDMaCyaKmr2ZhV0txXRusM4RSW+gHdWwJMo/jHZ1FHd0FHs6jpbJaSjFaCy4R90SScd0rtjbFeRO0bItwNKwdXY0YhraK57TOUx1DTeavezLbiIzs2yrHccIm6jZOsIJXz5FtOi43RjX9+rhigQHl6NkQiLHivi6OpGLsMIyJe7EuC4WxwhbaJgGDVGjLnWhUjlaNqMs4zqqEmpSMhKryrU4kxlS64/9SOSNoxENI5H/fTKDVu5VWm9c+XNhU5xjnKCVS341q5jOS/e9Y3uSs7M5i3OCVqb5z8kmu9ownVk2J4rNseW48WkiZUlzCYzStZK2seTOskVrdtThmGaKxNEyipbR3NmFO8WtjLGNrWKce43GRIWxuKut2JMKZpgidx0SOcYOezSJi6qEl45s05LTtIoXPS1qlWs9IcLi6LqUWel88okzjMrtjJvNjMoazdjHI0zmGS26tIpSQDVXo+maRG7ahwgI5UNBnKpcnv0vtv1FbQdnH+gZaoP332H352H3fdbNkhhm8A0vCbJxLJk1T1G8i9mpq2VDGWlnnXUWF198MZdffjmjo6NVzNj4+Dj1un/Lfe5zn8s97nEPLrjgAgDOPvtsTjnlFN7znvdw+umnc8kll/C9732Pj370o4B3/Zxzzjm87W1v49hjj+WYY47hTW96Ezt37uSMM85Ynx0ZaqjNWWQ/DLUe/obRX918eKVzvDvGaWpiFKX9tEGlMpCJbuGukSgXo1A+wF74mkVW5lXMmCxco97gy6oHl5Y+Ky6iRt2NVEpYLjLvprAtRJnBhqrik4BCjSym9SncZ8KJQo0pZkigb9J1HzXkfxcC6XzcXOlOFULhrFd9tICaKhQlJcmsIjOWzLrClSOoKUciHdbBqJa0tGA2F941iCASlpo2aGEZyTUN5VWg3vodDZ2TaEPXKBJpUUKSSEldC8Yi2BTl1LVXMDtG0rE+7i1S3oAYjSCSXo2LpEMVcWlaSCIh6BhFZhyxEjSUY0RbGionkorc+f5q4RWjRMF4lNPUOTJzzOQSKSUGb4w2NWyOM+rKYBHs7vqMU+ssWmjqGjbHBi0cHSPZpSRKen9vXOzTeOTvkbGAmtS0TYzDUVeaupaMxoJE+kD0dq4gj0md8QqYFtQVjGkfVZI5aCd+ovJWbtDCxzw1lKWmHEI4RrSkowWdSGHwQe9xMfaRcKTCEUl/POqujnKKMVVjJPJKkhRe3fSTEflYuHq0mc12B6OiRqQUXWswRS2t1Ex7BVn7On8IcNqSm66vjYZGF7GdMRG5M96tj0KBf+EhoS41DV1mTjqMU2TOu6pjKalpSVNTKWHGSmSRyKEF1LQ34Mcjf03nTvpnU+73NZaOhrJMxN6gbCjN7V1F1/p1RsJRV4axhler4k7M6GydfVqS5BItoaYszSRD65wo09SVJRaSSAoSoRjRMBFZxqMUW8UVaaxz1MQIm8w4W+oRWxLQwpFawZ5uz4xIpM/ynlB1IuH3XecCZSVIsCIvzvWEyEZERUyeReBcVLmLDRkJRaaulIUL1/kYTOlDOyJqCOpEQlf3iPJOYvvUs0ElbT49BW1w2rm59+VFVba1YO5zYLFEB4bVbgvc1dlQRtpFF10EwOMe97iB7z/+8Y/z/Oc/H4Df/OY3SNk7cR/5yEdy8cUX88Y3vpHXv/71HHvssVx22WUDyQavec1rmJ2d5cUvfjH79u3j0Y9+NF/84hep1WrrtzPLMNQGWVkiQc+Q83PRWfIqvsUWJQ3AByebQl3STqPFJnIxQixHaHOnz+xzrcpQEgiEEyinaDKGZaR34Rf/KWNNOm4G4/z0OwkjxDRIXJ26qxV7ZGk7AVhSO+unXBIa4STa6SKovOb3wYdbe5eRMGg0OFDOlzmIROJj3VTii70WfZHQuw0LjSpjy3BVnJkqHvp1LTBWkllJ7gyZVeT4AiWR9O6epnaMakFLS+/2rLbj0MqrV3XlaChBXUki5R+EkbJEyqBEObWT3954oXSMxRmxMlgnUGmMwj98VWFojGiLKnZKFLFEUjhi6YilpJVLOtLHYcXSUZOGps6JpCOzgplIU5OaWHnjqK5ymnFGbr0RqgRooUgKo2A8yajrnMxIYuGNVYE3HEc1bIoylIC2VNS0d1pLJHUlGdEwFlm/L0LQ0JKOjdFO0dCSZiRoFsqgcdCJZeGaldS19O43hVcWcRgEbeNL24AiUQJdBLXH0iAFNJWlEyk6VmCcoqYEsQJFz6AVArQUjNMg1orxyBsYiaQ6jnlxTtT0BKNiG1vlCHXljX0yaBvvNu9kk2hVq9zqAolQkq7wio4UGukECoUWXtFRxERFXxKbEEtFIgU15c2VXHilT1l/XyiTIOrK76t1kGvvuhRGEilB1Hd+CBxdK3CIyp3pXxIso3GGwBFLy1gUk1pZnUdaWqLYoJRDShifMkxmkjzy50oknTfQIm/CxtIbh81CDZ2IYTQy1LQhd5K28S80AFvNYWyrJWyrCTZF/p7TNtKfv8U5M8Z2Ntlxxmu62k/rFM44rG1U9o2wPqNVCYkWqooTrLkRnHQY1yVyMRqfRCKLGEiL84q9a/tyJ9b/roukJ1kkVAlXZsKrAdWs/35afl8qbT0jrP/e3EsqGK6yzXGHrkRNW+qZsYRaNz/bVLLSJIj1IiQOrI4NZaQtp2TbN77xjXnfPeMZz+AZz3jGgm2EEJx//vmcf/75+9O9lbNEMsH+xqf1uz7LSbqF8TeWrppByxotu5c20/7N39VoMlK0hSmxibaYYdLuou32+lw2tY26GKXmGozSQBcZhcZZchxTzJDRoc00s9luHA4tExp6E7FLSFxCVNS3ks6iiJEocttF2AyhBUYarPMB6dLF/sYiJLnwNZM6cqYIWPe/1VzDJy/E3gWiichE6tW2IqC6Rsxh5nAfaC8MOb5mlgCakaZexJY1tKSZJdzeyWjllr0dwb6an1y7qQxb4xwtFJGU7Go7ugb2ZhFKwIjL0NIyoi1baj6gaySCRDkyI7FOM5trukXsxWE12JIYticZY7UOOEEri2gZQeZgS2yZiHPGdEZNGzq5opVrpnOFEN4QG69nWCuoqRp7M0U7Fwjh0NKRKMNIkqGE107vbGikwBsmypBEOfVcUleWEa3YmsRsr0kOqxk2NdpEkaHbjVDCoaVgUxKzoyHYWc/Z3vRB3jPdiIaKaEYKIRJ2NATbEsu2JCd3gjhTbKlJairBOjis7o28mvJuSOsEkSwNY3/eJtKPWU1aEmmRwiuZs7nkNi2xzrt9cwu5lMTC0tDeSailYkSLQgHyZVFyI+hab7gkCu45klBT3kU4qr0xaa2gY7xCdZg9mlFRYyKK2VGX3q3roGskGF+bL9YjjEWHcw97NLH0D+h9bpRZOU2HKbTzCSsxmrrUOBTKbML0uTLryquO9cLwsg5ipcmtf4TWigzihi7UUyCWgo4RtI2Px0uUN8pHdU4k/Zg2lWJSKVLr3eISRy3OiCJDw6QclUU0VcS+XBHJvge4gijOOazWRQgYjxSJcjSUIc81zhnSTKGFY1w7ZFMwHlm2Jjmb4hQlHZ1M0LEKW7hjj6k3OSxxbEtyxqKcjpEY56+NSCq22q1sTxJGY++2LTOhM+dTTBI0E64soeFI+wyKSEoiJNvMBB07QlekvrRLkcTjGDRGlPDZoKWhV5Oahm2Qu5yWqPmwECxCpJXB1jPOZHUv9TfIYszmKmdDYoyr8a0Mvv4WdnmG2hK1Nhdv29/BcmaPucZa4K7KhjLSDh0WimtYHf3Gmp8s3E+8nYpWMaVKh1xmWGFRCFRxQ6jbGg7HNIKu6ZKZFiJRIIvJi52v1yWFjzszzpfGMCIvJrB2lYHl98qX2TBVppb1LlSREKtmNc1QTkoudFG/zN9MZJFq4AuC5kX5DK+4SaeIRYJjpCpPkbsMJCiriJ0mEpKain1igDO0yEhdTstAx/g3+FKxUMBspmgbSys3TKa+vc+Es9SVZSwS3Jn6zMGpTBIJXd3uBI5Y+PpRWvqbcivXRbyOpmu8S6qpHU1lqem8KIYrvSFmJKkVbI4NozpnvJaipAFi2kbRsd5VXJOChs6QwtE2mtx5FSm3gtRKDJK6yKnrnBHtY+O8wuKPjC2MRSUciYSxyKtoNWmR0lYPFSn8uIxHgrHIMaIMiTYYI6oMwZoSaKkYjxyj2lJTltT47NFSiSpjoOrKEUmHKB5p3lDy2bK9KcXBOO/SioRjRHvjuGMFaWFwda1Emp5XKhaOurS+s8V+eeNM0LG+3ImWUJPe8KlLryAa5w0+40AJwVY9wqj2MW3NQpRNrb8ifbmTEaL4nkzYrYxHceF6c2RZHeccUsgiezAmKtyCRah/9VCsK0msyizbnjqqBMWx8YkfZfawwhtqTbwaqKUP7hd4BUIIUNLS1EWCBTCdlVOtCaz1ionSjtEoJbOC1IkiUUWSdn02JUCic0ZM79YvBXRzhcgVaS6xQKwsY0IwEXvFVktL1yg6uaZtvGE7Gkm2JlTnsRIWR88Yr0lJTUm21vw4a+ljGDPnrxklRHHNSRw+/MBk/mXQ4nxVOSFAaYTxCn+OIXOW1FoiK4rEHEnN1bBijLgoouvrq3llLnJewTciQhR1FvvrpQ2GhxRJBIsUFh/IDO0PR+5L6lhR9uicIuUDPy0jPnmgzRCDbSPgoLofrRVrvb6NSjDSDjJrMb9n/w3BOVtV8s6kL+KYO1+zKhcNjPMPz7JUQuR8CQEhJNZ16eZTqCgmkjUyO4pPlleYIrsvk1llbGmZgJB99c1yMtHLXgPvjohcQiJHfSC2kEUMnN8P7TSu6I8q1lMagsrlUMTKlQVpTVFLzJBi8YUutVO+AK3yDy3rJHnm6JIx7TqMphFaKCYir9BoAVORrOpo7elSJEHAlsSSSEdDOepK0DawN/VuuMwJmspiiodfIr0bNHeC6SxCCMdkJmkZQe68GzSRFi0duZF0c8VsrpnOfD2zRDoaOqOepAjh6GQR1vliuLkUNLUljgxRZBjNUtrGuz1TJ+gYSW4EMvGu1roy1FXPrZdaSWZUldYSS8doJGho3yfnBCYHY/xxSqRX4Ma0YSTKkNJirH9gqyKOTQCbIsNYlBMJQy4USvQyCL2h52PKyqQDhGNEOWRhXKfGGw+5FWROoJ1AO6grgxKOcSOYyRVdJ2hbUT30Y+kffrH0bmyDv/F3rCS33qBx+BvayBwlL3feMJBAQylGYsloEetVU/745c5nUdZFxCazlRhNU0eMRt4Atc7RNRpsA221z1IVmppSvm4bgkj23K41JYtSGYWBRmEMq/I6LUuz9OnrwlHXjqhw1wlEYdRRuRdrqqyGL0iNv4Yy688tpQxaW+pRzriTtIvjn1nBbCfBmBwpLUo66ipH4F3l4BVT6wSZU1gniIUj0Y4RbYgLNa6TK2aNop37zOGmhi1RzniUU9M5qVFk1r+ACCFoRpK6EmxJvFKaup4B7pwvSxMrQUN7QzuzrogFNVVOuBaFaxNwxtElpetAWEFs/V1EC0nd1nqZs/hCukr4mLrI+RkuJN0qG33YfXWo0bPAsuVRGzDaRP8L8zLLfAwx0Obf44f12cxX+QaSGmxRSqa/yM1BxIXEgdUSjLQNxeJxaXMnV5//fe/v3KakZtbXALMpLe7EyBQrHHFRrwnACktdTiAiSaQaZKZFZmeZAYQURNR6RUqFocMUlhwlYhLVLIL6fQHPNtMYchAWKRRa1Gi4UZ+tKQ4nF760R2pnSJlBCE1NjlR1ziLnC1iaIpA4F1nxfYRCUXM1f7HjiumrunRFF+UUFk0j8hX9JX6S9MlUcifT/DafpGvH2FrTNISjGTlsXRJJxW1tx/Wz+7ijM8LhDY2Wipp01JRlLJJkFn49Y9ilJOORYkddoWWp5lG40YSP8XEwnXlFR0rYHAly59Wzbq6YyiJ2dTW3tJxXpoQl1pY4NuSZJHeSmVzx2xaMaEGs/IM3qeeMZV1auWav1NzWkhinUSJhNMlQwtKIciYiy0wusU6wp5uQGlXFazW0j7VpaIMUjul2UmX7gVfAtiWGLXGX0SQjyyWtNGYmjbxrUsGoNhw50iZRhtlUkztJ7gSbYsOItoxoQ1NnpEbSyjW355E3fOOUkTijpnNaacRUGrE30+xLFW0pGYsEo1FOTWZY59W7ycxnBwp8gP145I1dr7w4XKG47U19iRHwhmJTe0OxVBOnc8ls7hWcrTXvetwS20rpa+WqMmw3JZJNSYISSZVsAD77NCvqb+VWAQmJKmKiBL2HhShi6YAi8dAru9YbapGEscgnOkgBHSvoGkFuIRWC2AnGI6+c5k5yR9e7zlMrmMy0H8t6h0T7+DDjarSNZCaX3DrTYDSNGI0zanHGmOySGslsrmkZxS+nRqgpr4CORimxMkTS0Moj2rliV6dOZgXOCRraFC8phrrKsQ6ms5hb2zEzRtI1sL3mGIsMO+odYuldyrvTiD2pYjLziSWjkWAismyNMxxwcyemk8NU6g3tZuRnlRiPvME6kwtu60BbdLAuJnYaVcT0KeNV7badpSvbRC5B5IdRk5q68uEJDRvRsb4odMt1qCmJRdPNEyJRI6eLIqvulf1TQQ26LXvG0lLFb/vbi6KmnqN0o5aGyQLGmvBRe71tqsHtL7rtwdkoitNvjmFocOSHjDFzdyUYaRuA5Rap9cx/2xr4Gx9r4QvWah+nITTWZXTsNMhiOhuZoIt6ZMIJItFASj8noA+6N7TFpK86L8oCtqa4BQk0ETENpPM3Git8jajctshcGykiEmmKekWC2MVIIXDO0ib3qprzuxOJGtpFKGLAekNMlAkAOVnxIIzKoqpFcoNGkwmvqOWuLLzrH4ajkcS5iCxtskfuYcbUaOfa15bCKxajVjCbKTq2wx4DSWeU6YYCbSrXlBTQNoa28YkGNeVLeijhXWSlKy0vlJF27oOqI+XjpGaNLAppesNjOhN0coPAG2W5FRgjyY13NXWsZDb3maldI7FWYvvifo3zBsdsDrNakhmJVhbZF0CfWnxGJ5pYGhw+wD5WFiW827GdeSOrnftjm0jvcqxpn/zQzTWtXNO2qkhysGyOc0birjeiuj44PbOiiHkzjMddb4hlEV2r6Fr/mNHSu3xrkTe+O0Yhc0fH+piySMpKKdLSVvvRtT0jpwy+RxYFgov9bBtvRNV1UbRVObRwCOHbd42vJefwGbRluQoBRVZsT6WaiL1iF8tetm/bSDoCMNCMvEqji1ix0j7r5L3Xq1iVZVQcxnkDbLZMPhF+nGvSoiVI48MIZnNRxN95NS1RlgRL20hspug6mM39S8Um513yNe2NqMz682xfprF42S1Spkii8KHV1sFkrohySUNZImGItUXhVeGuk0xmPsZNQBFDZ9HSxwF2rWYmV0zlko7x18WoNoxHOYk0OARdo5jOCxXZ+rGeiHzMZV0bUuvP9U5Rk08Kn6Tik0ic/034gsYd0SnuKz0XcXn4u6JN2+4jEzUyt4XY+TuCLrJ1pPOqZyYybzBbH96h+osIA+Ucv735Owfvtf3zJc811vrdo5WhJ0pDz4LLC1WNnqEm6Lkf++7lc42z+fM0L+1lEf39KbP8i4QyIcCJbB1krJUTEgdWRzDS9ofCJbHw76uJO1tMTRu8cUDPKCsvcC0TpNTU1KZq4mEt635OQdPhjs4tOJciREwzOYxINmnITd4lSZ1EjhSTIXfo2Ems9YUolYwKw2usmn1Au7jqmXK+yjeyhrE+Z9K4nFykqKKSvnTKG2QiLgpcZn4CcZESiYQaY8ii+KevGJ/TFW2sm6UjBLCFpmuQCMWEinHAjMnpktF2KZNdDYmPP9tag/FYsjmrI2e2MkuHm1sJmVNsjiUTkUXHPsNu351b2CO84jYys5ktiaJZXBk16WNnpk2XmdSBa1DXPvPOOV+vKndlOY+ioj8gMgDN3lTR1IpYeYNhNvfzhKbWsburEaJBO/eBUXuzmNlcYqyla2A6F+ydrZPlknYaMZNrOkYymXkXXSIV+7oJNZVjClUrtX4buVPMasl41Hu8lPFZM7liMtdk1rvCpPDZg6NxRlxk8N3eqnNHGjGVS8a0V0O2NdqMjHTJUsV0FnFH6hMZNo/kbK51mBhtI5WFacdUGjOZFbMdOIkWliTxD8Q4NUgiprNSrfKKj3WGrpFVPFUnL+PIoKZ9/FrsilkFjDewWoUMtlkJRiPHmDbUlI9VS41kOvfPp4aGezZTJuKUZpR7oyKN2F0oyk0FRzTSKonD4lXGWzsxykhqSlCXtioLEgmLwbud96SK1HoVrVymUSQstIzAOk1WPCNjaRktlLCGkUxlPtmkY/w4OCfQ0pJInwksgDszxZ5U0rWC8ShmJPKZws0oJyvU19+0JIlSTESaezlBXfeMj66V3NL2MYp17bM+x61PRJjN/Tl6S8u/aDQ07Kg5tPCG/0wasS/X3NFV3NH1auVo4jisltKMMpyDmSxibxqxJ/Wu57qGI+oZE7EfS5/YoZnM/MTsFsf2uqpqvGnhmMErwLOuQ1tMMs4YiRS9Qr3OX1sz9jba2V5q0UQV/2cZTDorZx+IpcAqSWIUighJhEAVGfA5uWlVypMUGlHMe6xkjBRR9bLr763z78kOU6loFou1WWX49RS2fGhZpJ4xpgfu6f3387nLLsQ8o7GvyLm1KdZ2KedxCdz1CEbaerGfswosS12bY6BJGfmbjEhIxAh1xshE10/9JCRSaV/lO2/hyOhmUzhtiUXdT/rs8DWhije/XHQw0ofW+smkYyJRq6aSyqu5Dv32I2qVSlcmFfg6bNmA5K5JQFLNweeKKDMrjI89c1ERwyNI6eAwGAxd0SZxCaCpaVXduoSBWddh2uSozM9fGMfewIolbMliZBcms8xnjAnh49OUZQzJtnqEbY+wz82yr5sXyqN/ICnp45hyG9FxObPGYJwjMn5i8soow2cRQ6GuOcudnZyuVnQjwVjsFQ0hINF+uqN9qUARkVlJJC2tvIi/UqKYRxMm04jcCTq5ZjaXdKx39+ZOeEXNqGKKKVG4xryCVFR1KuYpBVGoU66os9U2vfigEd2LNzbWlymZLJST2Rw2Rb5ESawNUjqc8wphK/d98CqeRWlTJSMY5xWsUskxTmJtkczgfLB7OVekz/hThQtQVXFm/Y81n3jgZ4soY8jyKrapUMCKLFEtLGnxUC1/TySM6rwyRH2CRVQoTt642hynjCVd4jgnLYLyk7ScMswxEfkg+poyaGlJjSSWmlYRSB8JX7PMu31z8qL8w6RyOFMmcYCSDl2UfMmc9fFW+P3JCzVMSkesDInyCljX+OSEmVz7tsIVCQc+3q+d+/hJ4yRb4tiravgsyswK2rlXsPIi5lELXx5k1khaxqu3ADXZMwksgrZVzOSSmcyPv0/M8JnFSjpmU+9O9W52r2aOaOdLdiiDwjJrE9q59NmoUtAUkrEIRrQvaZM6gbE+4zkr5tqti4hISSJZnD84UmfITRshBJGo++mgitkGcueLBftrUfi5iWWOcRAJSWxjOjKqFDpvzPgajyChMsakny5P+Cm/vPHmywDNvT/7czerDDIrtM+yF3k1U4vt297Avbu4t8s+I02KqPf3HEVtoWfBvHjk/nqZzmCQ+OjDg41YeyXt4O/UASEYaevBGk371M9iRls5PZOvFRahZeKncLJNyno/EZGf5DlKMDr1yQTGTxKduWKia1Ejdr4mlHbFBO3CP+6VSLxLslAeDDmZ6OKcQQhF4upIYpRVwEg10bYh9RNXi15Qa0zDz68nEzLXxhY3uYwOCIhc4tU3p4lp4ITD2Bm6YpauqNMkJpZeBStdsVkeMcUMOhutsg19iQfB1prEuZibulPoVJKomB1WUNeOurJsSbwRZjt1JvMU3fXlciPpH/DNyJfXIPcPVWccmSuNHn8M4uKNHyHIjSNzlum8w6yJ6ZqISCnfZ+Ez/9pFwkJmBbNGMx7ZKoi7oYsHrIU70oi28a7DqVwVGX+932dySSq8w6NjBF1buF8L11XLyKK8g6jccwYf/1O6Activ9YKMrzbdTpXTKV+iiF//H1GqLWCPPfB4628l6ggCxejH5QiENyVCQSCzEjyXJIaRddq8jmZWV0rsChauaRtRKEslXW+qEpYWFEEnlNu1z/4S1dnJL3RooQvgqtFWa7DJ2nUYp8UoXKFoCwebBmLLBP1Do1mFx055KwjM5pEOgTeBbsp6dKMchKde3dqrpCpLyArhQ+2b2jrY7qivIivcyTSZ+Za1+uzlg4tDZn1BWXL49Y1klyXippP8oiKKZ1axrvMNdHA2EkBqYM0927DPbEvcBxLS7cwflLjaBufb9020iezFDMUzObQNbaY21YU57Ugt959OVsZ497YrRVlU6yD2dy7QsvaaCPaMa59LJsSFoNX+maLjOea9KEA45GlWSR3dHJJ13o3vkDQYIIRrWlqXwuvk/s5RNNiiq5EjzMitlAXmkQKr2QXU5Q559DFfKexanv1VUlik5C4BpnwcxcbqfEeC39/lDJGyRglEyJZrww1Lfz9UM0Zc29L96YBK+tTGpehXF6pbKZQ0vyY9tdXU5Ux1nvRVn3Gm9/eXGNtLv1Gmr+PFoklRX9yG9HN5EGPS/PJL2ttpAV3Z2AR5rk5l22YLXyxzZ2BoKrhQ1F4sXpLqjpRqV7V2kVUTQnVcA1aYhqQ1Bij5hrUXc0Xf5Q503ofHTdFK99DF5AypiEnKndm3Y37whhOEVk/H6MRhkyk5CJjOr+VzLRRMmKLvhd116ThasRSYZ2l6wx75O10mfEp9aJG4uqM2DHKGQlasuXn53QdUtfCYWgwSuJiYqEZcXVSO8a0nGHS3cq02ENkI3aKGk0NE7GgHWuaXcVP02l2sQfT2cyRzRqjRXZaTUnGtOLOtMYeN0XWGmFHvUas/Nv8kQ1oakVD1/j59Cx7sxRLzHjsDavNCSRKUcske7s5xlmM89ljsigjUNOqyED07iqbKm6Rt+FwzGbb2GwmqBVZkACkkhtmpzDCMEad+4zVGC2yTydiH2vVNvDjfQol/ByO4I2imvLb7Bq4abYsw+Dn5/QzKfgHt3FejdNSeGNE9ZStqczP+enVEW/sNlLvvu4Yye0dwZ1dr0x0rXdXtdOILJdMdWrszQTTuT+bfXKEJmlr8lyzr5MwVcS6Kbw6NpNFpEYxmUbsSSPuTGVVLiOSFAHwcGcqaRk/B2UsvYEWib5T3BWT2vu04yp7NZI+Fk0LS6K8q7GuBOOxN1InIl9WRGuLtf4GL4VjIjbUpWFzrcvE1jaq7i+urOuIpGFTEYNXj3I2jc8SJRYhIetIoq5CC19eJC9curGyJNpQT1KslcSZ8epXpkgLQ0bgUPikEYDxKMI6RcfAdC6JZYTEUSsyK5vKT8A+k/vjPZtIxnLNaBHrVRp/s5lhX+qAiPFYMh756v+zuY+r7Bo/7+meVJNaf75OZrAvhdRapJJeQXeCjpU4K9ibKiYzb6xvTXw5lYb2KmI3i7mpnTCV+fNsR83XVBsvEhM6hUv55nZEK4fxqCwWbRjXPlYydZLJTDKV+XjO7XKChpbsbEhqxbVSGmlt0WE8vgdb3D3YJkfZWfcS8J0dS9daMpdTFxENrX2h6Zp/cYmlIrNjjJg6M24cHdfouhna0ebKyIlVE0VEJBpFHG1C7GJi6+N2NcPj0nJvnvnSQyInlzm+SqMveWQpYt/6DDR/n1be+4GqMtf9LMOy97+ydluxXTns2SHoqWdYrOypaRld2kzR7t7uSxYdKtLTAlx00UVcdNFF/OpXvwLghBNO4M1vfjN/8Ad/AECn0+Ev//IvueSSS+h2u5x22mlceOGFbN++/SD2OhhpB5iVK2z9hhquP/27SPEWVL9ZIf1bnSjiLBDF375emXaamiiVsAhj/etxW+wlM22wXaQug819pqUs48n87QTbV6k7M23SfBolY1zk5Q0/VZLE4mti9TtPfJ+0d1MU39u+9HVbOOn8TVERC+WnpnEKbRRtNe0LbspuNaVTowgYF0Iw3hljWk7TcRltU6vUmhFti7pkMVm3To6hk0MW+biymrQ0lWAsktRl1OsTXsmJpQ/qzpUglv4R6w0DH98jimVU4SqqKYnVMJ5tISti8qrA+CKxIZLQFV0mxW7aTHB4fgS1YoooLbxxk1nY1U6xzjKqI5Ky9lafwbY3LQLpC3cP+GMg8Q+2vNgVLQV1N5ixmFof5zOb+difqUwhi6mgurZQroDUClq5IkkjtNRMZ5rM9vYntX7aqqiT0M4101lEK1dVEodPqFB0hWRPGrEv8+qNrw3mpxLKiwB4r+r4ddeLIPxyf72S1iv8qoU/fuWjp3T7+v31rs+69IV/y/IYxgiMUZhStVQ5zSinEafIyPm6owZM7tXAmjbUdE69nlEbNaX4guj6ZZVyNOO8mgFACUukvdKEtGjp50jNrahmkYDSuPTGWiJdlWiQOVEZFlJ6I1kJn5CgjVfTVOZVR39/8Ma4xF8DmcnZ15UY52dwMJYiQcOROwPWq7HlXLVd6w378n7hzyvRqz9nqM6hMqlC4ugYr6BNZt7NqovrrKlzElXMTJBrJnPNdJFQuTWyjEfldGaOtIw/LBJwYonPwNbeoFPSj4nPovXJRxPsYIscYXOiGYv9sW/nvm5g5jSx8rNeNLRgJHZ0rT/HUhvRSBUjeeTvJaLDrJqs7pVxMV9w5GIark4kFBpBTekiM7c0lHpueO9m9fOsWnyhZONcUfjbFmEcrvqrH1kFiZR31179ykJT67uW/d+VUt1HaXeVhTa8y9ebkJkzTIlRblU1ctPf84OAY+0nWF+hknbEEUfwjne8g2OPPRbnHJ/85Cd5ylOewnXXXccJJ5zAK1/5Sr7whS9w6aWXMj4+zste9jKe+tSnctVVV61pv1dKMNLWgmWpaCs10HpvXv3KWVWHp69StnO2iKPKq9iJjp5hVtT61pYXb3YUswhAw9aRVtKW4zhnSfMZ2vkejGoSiXo1Z6eUmtg10CiE82oaQKTqvTdK1yUnJ3MG7STOuaLwp3cZKKep2SaJS4iFrm52NZegncaIOoYJgKpIaCwF44mvom+spta5J1O2Q1d0mckMda05XFmiyLE5FjjX4PZ2jcks5Y6On6hbS8f2JOOwxHLsWMJou8m+1NAy3lUYSceYtsX8h4LDGzHd3PkpeQolRzr/kMwcjMUKJQWx9OUerPPfd4o47XoxmfemWDKRb6JrHGlxb8wMpIVBNxbBkXozI1mTjJyOsb3pdISPveoYx03iZmbcHRyR3Y+txcwLkfYxWa3c8tvODDNyCkPOVnsYozou5ooUZM6xp5t6NxGOrbpOQ/u6Xtb5eLq2sfy2ZdibKjq5qkpHlGUjcLCnK8hdxJ2pLz/SNbKK2Yuld6nuate4vVNjX6qYygWt3KtkI9o/9Pdlmlkj+eWMYLaw8I5sShLllbJZI5jOYF/XoSU0I8Gm2Btw1nnVzjqIHIxqnyFZ1iPrWImxwrvxBMTKuzvryuBibwzFwtLKI4zzGbGp8YHq43HGSNJlpOnjK/MWZG3FTCfBWMFEs019NCMad8hEYLuOfAY67QhrJUoZNje7SOm8AZgrjBFkeTHrhoCJpENdaTpGVdtt57oI5haMFkH+kZA+MSRXdK2kY1WhVApGtB+H2zuOdu5r901Gqqzr69tLgRSSPVmXWaNpG43CuwPbxl+bqbNMZQrrvJJZGkha+IK5uYW9qUQKiXFeZcsL9bKuvSu5ayW3dRV7M8kts34+2W012BRnNHWGlI7drYRbOxG3dXw81NYE7tVs04hylHTsadeYNap4MfCzgcQ1wYi2RNLPW2odpE4wESukUIxGoygpGNMwkcDWuIw50zQjzXTqpxQbjXx26Ynb9iKEYzaLuL2TMJsrZnLFnnSC1EIrPxxTTR0nKtd6XZWlXnz8nRSOqLAHerGdPpGlfDEwzpdpccX9oKwFl/e9RPQjinPDG9elge9/k1C463v/lmLAYdJ7NhT/LV8CjaOKR2zncFtnhF/ZHaTZ3iL+7u6Fc46pqamB75IkIUmSecs+6UlPGvj33/zN33DRRRfx3e9+lyOOOIJ/+Id/4OKLL+bxj3884KejPP744/nud7/LIx7xiPXbiSUIRtoBYX9j1Hruz4rCYPPv0BLjLFJqr4gBmWvRFZ1q+7nI6NBCW03kvHhfBvdrUSOWTZyyGJdhbU4uu70XLyFJRduX3RCNqguJHEUIVeQNOV+3DI0o3phyDBJJ7HysW+ISYnoGWqn8+KK6unqT9NXZpXcdljFJSvjaYFmd2VyTOUfX+CD2WFikdGxL/FgIEdM2lplc0cgVW+MMLX2l/DTxwdxQlmiQpNKbmuV8mmUckxb+ZtkfSxHJ3lQ+pZHWMd5IK9dRV96oa2qKKX68OpQ5/1D0RVThsLqioet0cj8TRFmUtSwE6w3pUV82xZRlUIpAauvIjWNGzjDDHozLGWczri/j1jlou5QpuY9cpCTmCIQQRfyLxzrHpG3TsTE1lVSzKJQPDedguog9aylfh66MQ4uKY9Oxws+D6uD2rg9SN85n2KqiZEbXSCYzwR2dnLbJaSpdZM+56ljMFu7aWPliqQ3lHzddSzXtk08EcMTKG17O+QfmbFFPrGP9OGpZVrO31Rt3mhclT6wvfwJe+dLKgXCYriBPJZ12RCfTSOHQsUE3HLImwTlc5o24djdGCUscW6K6QcYgWhJrHMZoX8G/WH+i/PyjUjqMizAOnJWIXCOL2m81ZQs3o4/hazmAXk2+MjlCCkFqHWlmcc6Pk5S9S1UJgcWSWkNqvDJKYSjkxYtfN/fxZzW8UeGNgFJFg1bur8Hc+eNhHcS6p7JhvVt2XxfaxhIX8Za6mLfWWMm+VLMv9Yb3thpMRIaxmneD5kbStbKaeaOpfcJFsyjK7O9f/lgJBxORryvYMf6YNrRjRFlGlHeZdiJvVMbFdTuioa4sm0dnsVZSzzJqKqdjNJ1csTWLyKzom8LKX+d+ejSfgauEd5+X9fRkn4XkYyJFkRDjFUdL+Xfvt7JERGlAlccRqEL5pRj8u3xSlNeFFL1CE6UKO5fy/tQf92WBtlHESlObHEOICEHnoGZ4rrW31Tm48847GR8fH/j+3HPP5S1vecuibY0xXHrppczOznLyySfz/e9/nyzLOPXUU6tljjvuOI466iiuvvrqYKQFlsNgTEMvQFRVblBn8sq92NUzRLKBdhF+7s0ubXKstMQkRC5GOG+oRaKGkf4tK7WzlXs1c22s9cG6UiiUqtGUW3ztNRSRqKNEVLkpc5HRpdvXY+Ole5dULgRVGIfWOfKi7lqMJpaKmvSGWWYLs6+4qiNZuL0SQaw0cVcwa4yfi7G4KSXK178CjUOyq2WYzRwzys81WJO+4KpxfoLq6cwrWy3p6zU5J6rAZo3P6tSyF8NVfvyE1r5kw4iyvmo8kjvpZW/GxW9RZKtio7vaPTfeiPZqz2E1wWgkmM1VFYTfNX7bOB9gfZgcp2tHSJSq3HuZ9epc7lzhho6L6uJFor0DVxhYqUjpMEXHzDAjNpOYUaKitIHFu2am5D5mkDTSHeRWVXNNykJKm0ktLQlRUdtKCx/fVroiu8UMC7M53DprSJ0jloKtRVBRZn0piukU7shncMJRc6M+65TCZWVgNvfnharG2BZZoD7JIbVgizglXRhqNee8OpQXZTCMN8Ck8waeAG+AIehahSiMIMf8ZIesK+l2ImY6MbN5RKJyPyl5jI9/azvylqDTjphNI18QNjKoGsgEbNe/NKS5YiaN0NJV9eGkdZWqk1qf6WqsTw4Qwp+1NWlRwpfayAujM5aumjpKF27yjoHUWIx1dJQszl9XKDLlQ9qPpezTXywWKyxtY1DSu9l8PGLPeMito2V6BlvXeud+aZBkVpAhfCxb5mPceskdvghvN1fsyyR7U2jnllEt2BRlNGtdfz3ZqEoQyR1sjQyb4pxmlPnMXKOYSiOQoBxsSXLywkg3+GnEasrSKBTIzU4SS0dD+b2ta2/w3Tlyf6AwcIVDO0HDwYhVlfpVUk7dJejVGyxfY4HqvuHr9vWyJc0QfasyqorWojK45i+3Ertluc69cp0do6CredBh92dny2LymV6/jeH/+/++v4Kt7x/9BuSardMJNm/ezC9/+cuB74epaCU/+tGPOPnkk+l0OoyMjPC5z32O+9///vzwhz8kjmMmJiYGlt++fTu7du1a036vlGCkrTvLU9GGT/GxEMVv/enXfdWrHZbMtumKGRrsRImEjp2ik+8ld11i1aQmxxmV24mcTzKQKDJVQwhduTCNSxFSYk2bTrYPaTQy1sSySSzq1BijuPWTixSLoSNm6IiZql+xa1Anpi4jIilR+CDmlIy2bCGcJHYj1JXisJpCSphOHe3c0rGWmdxWysphiTeyZmqKX84IOrnltq72LkDp2JZkjGnDaKRp54rZzHJrC8YizeZY0CymHvKJDb4kwHQG1qnqBloahOWNXdCL3UltGZcDTW3ZEmfkTjKVO6RQZLl/SNekNxg3xSmplexNY/ammqnUkVnYXigL41FOan0m5S9mFFOpY591jGg/x+ZYDDvrEZmL2Nv1gdVda2mbUlmR3Etuw9itvnxDMX1ParzKYnE0XYNcbEVIxSxTRDZC5DVGorKApqDDFLPmDgC2drcyYSJGY+UNaee4LW0zK1pkImPCjjOqErbXNRRK4j7jj9mebsrP+E8SMcLh+VEcbppEQjDlBHu7cGsr4zb5aza5nUUNLD/mHSu4rWXZnbYYUzUSBWPaMVbUAcutd5/OZIaa9u5ChSOROVZ5tTKz0HFe6WnkiroSPtatVDoctIt5KfPSsJeOemYQwpEbQWY0092IySymYwRjkY9hsylIaencJtm7t8FtrQbTuWZTnNKIM2TkZ+fIu4KZVsLtrTp7U01dexd6I0nRyhtR1nk3+2yuMPj5RbfEWZEFatHAtIWpFKYzR6L9vJdb4qKUiPJuLAPsy7rUjKapFDXdi5ny94CyYGw5gbzG5QnTzLKPWfKsgbHau++FVx6thY7xc7KWx97iM5dj518kUiHJHOxuWe7MUsZ0RF37EibGSbqZZG+q+fWMY19qGIkURze6HDk2Q2M0o9vStDPN7q6ma/1MF/ffvI+xTR2ipqWzTzE9VWMqjdA4RuKUw8ZmiSKvmk7P1khziXGSpCi8vLneIXeSLPdmkRR+qrTyuPvr2mcnl4qmEL0PDBpADm8AOOfnRHWOYoo1X6LGWm+w2Tlmk9+6Q0qvvPkyKcWUaMLNM9Kqu3lpOZUqWGEQ9jPXmFuOuePnYW2gRY3lPofuagghGBsbW/by97vf/fjhD3/I5OQkn/3sZ3ne857HlVdeuY493H+Ckbbu9EpPLMby5/AcYrz1T2NSzDSgRYImKZSWYv5LqXFZCyvyQjnzlbL7kfSMPS1rgCWSTSJVx7q8eDO3hWxuKUNgteurdi1ckdXkqmXL3CjvbhPgIC8yoHJXB/wDKJJgtZ9OyU+AbmloiY28YQTeOLkjkuTWMZPBjBaMaMlmYZHaMY5gLFKkxqtyU5kklpJ6UXHflzWQ1UwBrbxX5qGM/ShvqKV7sfyUd0tBUdHd2srNQu9nn2Woc6RVNExOJHRVRqKsPD8aZdX8i7FUCCGw1hXxP76cQV350hw+yNorbdZ5l2BdSeoabFEbbV83J3O+PIhy/iE9rmO0mSAhoS1myUVO1xpqVhaZkpKaGyOTXTrM0HIjJEaRFP0yheLZFW06TCGlRBlJ1/jAdC19gdLp3DBJi5l0N0SWlMyrgnjlZyq17LWzGJGTuISoMB7K+LfZ3LBX3smIO7xQdrzryRr/IDXF3I7aOHIrC4VNVskNDn8slfXKnUJgpehLqhCFi11UpU5y62hrhcwc1vqq+bO5j53rGj8tV9rV6FmHSi2zMwn7Ogn7Mj9dU8NIciOxKQjj6LRjptOIfZlmushubSjlJz+XFmP9nKodI5nJvYpktGDEyiqxoTyHuhamMkNiBaAY1dW88lVx1971XxYqLooHY304uvBqrBZlvTRN22paskVkI2pOVcWCoVTffI2//kQUK4QvgWEERvq+dYpsykjGlaKaO0lqfGxg2/jrvq4FzSinVssQymGNH+eO8cpVU1nGJjrUtjlEQxF1LHLGK5+J9POQjm3tIuv+diNug9lWRDfX3pUc5yRJXhhU3tAE7wIG/x7rEzwsUlmkAhn5/5b1afsD8l15W3O+rbMCawTO+BI1rnBVl272fkShzIoiXtL3wyeYIHqKGvg+9b+HV+tyvX4P9GkV5JmiaxWxqy298AFg7WccWDlxHHOf+9wHgJNOOolrr72WD3zgAzzrWc8iTVP27ds3oKbt3r2bHTt2rE2HV0kw0u5y9GXpVMaZr/kjhUarGlrVieUIDcZRzhee9XFnFhlH/m/RQKIRTvpqsFDV+/G1ezQ1MeInSheQqSY5veKP1vlU817K+GDGpiXvTRUlMoyzxaROPm5Go5BoumKajBznnA/UVf6h2rWCWSlomZxWLukW9b4S4ecfnIhjUquYSQ37lKKp/XuslpaGMozHvmDrZOoNuZqSjEeycnGVk4A752tM5dZfDLpwc5YPf+jdDHw2V+/BD2Vh0l58lqX3Fu7jiXxB0pqGKPdtywKkkfJzTGaujOnxGaKJgoby9aZGtKFjFXemEiVFkfghqCtfEHS8KJLbNtDKJVluyKyhJn0maF0ralZSyzS3F27k1OUYq4v6YoLxbBNSSlLRIRMZHZvTNd7Xa6wr8s98keTcpbTpMpNFZM7n/raNpWVy2qKNlglKxFhsMUWWYCa37M1S9qk7kFYSoYnLh6jzxlXH5rTkJLk7DOuiQs0YPOuFD4cih2K2BFnNH2psUQPO+d/8tFveuDOuP8Dax61517VgOtdYJ0itD+ovJxDvOkFiHLOdxCsiEva1a0xmMVNFodvM+bpv2axEFPOhTqb+95bxhYQzK8hzCcIrdR0jaVtfYy4r+tXWsnCsOV+st8i4bJkM6zSRlN6tb8vCwF4pU0ISSUkiJVExiWgmRJXYo0RvCiuLf6nppAkzTJGJjMxGOKeLc7Z8EXHFuDmss0ghi+98f3PrixSbQv7RQlSqUW797AZdKzDWEgk/7VNd5+jIgPPxgF2rMc6HDIxGhmSzRW5JEFohdWtA/WomGdFhEtGMwDqSVkqeC4xVSGmJIkNtLK98hyadYzhJvIoVg9QgIhCJRCgQpZRbWlRl7UNvofp/5sX3xr9IOwNY442oBeStsu6tECCU6Pd/Dk/RLOmlag6s263SSjNty+ZOx89zerCVtELRXtNVrsH6rLV0u11OOukkoijiq1/9Kk972tMAuP766/nNb37DySefvN/b2R+CkXZAKB/3+3ehDM7npvqmEelNZ1KPNhPLEba5o9jMBDOujUIzymY029HFbAHSFTFJhUrSZZaum6GbT6JkTCJHiamTFNmXALnImRXTpLSwxYTqCj8/6IidIHZxUV5DYLB0Rco+eQeZ6xC7BEydhtaMRIpICJSZ4LfsY0ZO0TA1jPNTOm1JHIkSKKH52UyL2zs+bi4fEYwnvnbUvZqCmoq4ruPY1cqxTrMjidgUd2nonMNrRWaqkOxLLbmTNJQiKdS00hjrz8zUwmdySlteGKIKoPdB6L3Yq1hKOsbXydLCMRr5+BQHtK1gxijaufbuDhzj2mET75YrA4CtLYOWLXXlGI0ENS3YWnNsjQ3jUUZD57RyTUNrGgYyI2lGgq0JbIoNW6qpgSSTqfKxSkLSjCQTsWA8LgLRcwnTY0yZjjeK8WUFEiVo6BE6psEdace7oekickEkJEoIxmSNERJyu5m2S8lFzk12D6QgnUI7jROO2MXsiI5HFrNW3N5JEUIwbTvcqW5jMv8tI2o7ClkkE/h6g6nxCmss6l7dyr1LcDLzMz90jTc4m87H5XWNYDLzBX47RjJrJGXemi/sKsj/f/b+NOa6La3rRn/XGGM2q7mbp9lN7eoooDgviDSKYKmJnoinUGyIpKLECohEjREUKxFTBmwQgkLkBQUkKCaaSEBCxC8KMQRQtKKCwnk5IBoKCqpqd09zd2ut2YwxrvPhGnOu9XS79q69q9hVtUflqX3f95prrrlmN/7zuv5NgqzmuabYPNl6u3J2Jc8zKmxSYOUDbTkvuiyze3+XPJ41i80Sj872Ibtk4pDL0VNJQ37GLCDet1lwu/dcRnvduHiB57ZLkgrb5Hm6s3ik3YHQ7u7oqQvqvxilBMLfW+GO2bphBsYzXU60znNSeU4aYekpqQSOGCej6ROC2wtVHJ6sNeepMXGB5sJrFBOiFMVv0mwV75mPBWPOpXpaBDJOWGg1V/eMQ+cNlKqwqsw+56SyirOqMOyE3WD2LAsPN+rEk4sd/rEad7qElMjRwGztMidtz8nNHf5THoe2hjFS3X6GapuoxkRdRdqjkep1AantCSl3Bf3ahYV4wHtcCXeV4KGtCsnvIGrDOeYy3B7RMwfnxlJam5yUs6L7PuV0h7b/n0ryZRvKH/d/e6FpYDrsh2qDqayWXxpYC7vItXFLo6fsv+gn7nj3u9/NH/7Df5g3velNXF5e8gM/8AP81E/9FD/+4z/OyckJX/VVX8W73vUurl+/zvHxMV/zNV/D2972tt9S0QC8BtI+yuOFW5+HLc9Htz7vDeMVKVlzLuBdQ5DG+GJ5wdJbZA1ApTWtNjRzWLrSq8UtZUkkLSkEuSt8lvoevzVBQANBarIkRlVUO5IwV9ECniCOWrzd6FXwBDo6OtexyEbobJwQCieqzWsG6djmjiG3oEb8BUeshZXU9JrYRfM6S+pwzipMJ5VjGRzbmNlGIzwvc8BJZOESq+BYBcfZMFUmJrL0nody2NrM7O/TubR1qkLarh2MDvpR6Ysj/jYJrbf923plkW1yt/xMx3YMBDGAWDll6YWh3L+jWtvH2m9mHbHw0GCqxtplgmSYWn+itE6IlXBam6nocTDy9JDNYb7xZqorSVhVZkVwHDJRwRXgNmaLxglFBNB6cEFok6dPDbvs6XUkasIDXjyLYnKa1eMibFW4K88StUMkcI0ni3K3ImgoVi+ZC93h1dOLiUkqt8JJIOZkliPR450VK1rnOck3EBGGpGyicBlt3w7FY6x2QihAuc9CUqtY7YqX15QQgRagpnAV7ZgGvwfbk23KrniyDQGWwexAYt4Htw8ZnpVAGy2C6aqAt1HtfNiV7M0he7okPN97LkdI2cQhtu1wd6jMVDa5WbAClLguW2ZqwW7j3mS4dWbK2hx446WsjFkZNbKWMIeUr4OZK/dJ8Hj64tF1+JDReIscq6IpgP3BPWZSW08AzRcDwLm4o/scVbseZL4XxWz2E7G0lL0oy6ISrp0BuDh6NMNYjukyWF5sGyLiHaSEjpk0mKCidplFPRLWGEBrKsgFPBZeWdUU0caqsoMfFZcz6q0SJrWfgZksAvhiRFgFA2XeMRsdPngz3v83K6Ry0BRzWqaoMu9nn7jpzoJ9xqF3hnP3ftb9ktH7P/t+0Hj/ci80nCCuxy/A/1ZX0djz/F7Rdb7E9T333HN8+Zd/OU8//TQnJyd81md9Fj/+4z/OH/pDfwiA//v//r9xzvGlX/ql95jZ/laP10DaR3089Kqex+yD9lCQdm/1zPLeAsEv8GIgrXXHLDhhLS2r4DlPAUeg1opGPJUzy4yYLbZplJFBN0QdZh+dmG1SvXK3GdzCyP+FN+bVE2gQBO+q8rdwuIXUThAJ1Orp4zWc84x0DKxQrVhX1oY5qQPx6klu5Us613HW2839dYvMSZU4rRy71PL8zkQEz/ZhdpU/qXucKG85WvBc5xiSOal7Aa2g8jYJXKuF88EqNxY1JNS6v9dNhqrT6FNptyZr1a2K1cb0cGwATbnVC7ULHFcWuL3yBViWnMQxO7K2LEKmEsu+NM8wm7TOBk+X2rl5XTvlWm1t0HXIeKwNOgxWnVj4TGiEG7VwXCXWIbLwidpnFJvUbjSWRpDV83hj+YlrnxjV0XrlfPS0vqFPykklRvj2paKYAQKb6OliYMiFeO6Edb1PPKi9EAbPc0CvG4JWtLSsXUPlHLsUuWTLlTsj6ciCEx7T61zPR0R9Pbf1LmfuLv24wm1PWFWWz/hYW3GUTtnFxC5lntuZTcM0jwWBUBlYGTNcFKuNs9GqTo0TXDGzimrA5yrCBzfmpdV4QZae1u9bdpsxcz4OND6wCp7rzYFXWJ8ZUuYDm5LY4ISqtKMnVeouCs8RuIqmTN3FSBscx5UJXRS4iJ5bnXAx2ud5B6uw3/eKVWanrNMuWUXLCZzWgVVl5+C6KrYsB+pNA9p2fp5UicZZ3fb0aoXLrjxcUaxA7IGj9Y41di0vfLBoNaArLU5FaZ0nODNRHbNptyd+Wu2n1r7xysxrzwDsOpigY+kzj7e+8C+V874hZyF4pc9WfX6sJBOEkEnnA7KL6JDpdgFVuLHYsT7pcSfBQEs3wFVH2lkbsq4jixsJfz0gC2uFKslalYDUHjlqkMYXcHYQkJ6mqljeAyd3ANYm4HZPv/2g0vaocXjLdvfdv18IoE2/fygA9hIA2mvjwfH93//9L/h627Z893d/N9/93d/9UdqiFzdeA2mvxJjYqR/WeHHCgkOABpNI4N5/TgJSokWA2dF6kuEnFNFMVmt19NLTy2620PDS2qRfgGKfL0gykGQEyezDURyOlqrcM6ZKm6LEIhfwQC3CkbT47Omkm5/oJp5MDZzWntyvOc+ePpn83mEpAJVkHmuC+S6NNpldRc9R9KyqkdYnToIy1sJliabZJUfjPLWz5mMQa50edo/y7GNUtl9mDjHqDczlvK+qHLG/51YF0HQpcxHNnwkMqFVi1YxRoY/GCerV0zp73Ysxjzo1L6ldNp8wj1mIVLK3W4gIMcnsw1QXy4ngzCW/8eYNF7PMXk9Ln+dJ96gyp/vgFM3mi7UqV3vrhXVpgdVFieaQAkbN7b4rk52bvOrKfb8qisFVuob3luW60pqF9wXEmvXKoBtbXitOQkXwRj7fDUsu/F3u8izH4wKRmqPKBBBehKyOsZjs0jsqby3naRvmDM/SLr0aEn1J9m4K12yq+sQMm2LiOuZAn/wUGDBXjjY60MdE1prGVwSZQHpmkyIb7fB4Gqk48sFyIN0EfQzMP9f1XGrHgobaNUwvRzXl6XOdcrcf6DXxeNMauCpVpkJ/Mp6XFkCFIE5oSnZl46ERJXgDm40XmlwVMrqpCoPYsWwdLEMgxdZsNg4KOdMIpY1dF07i4dQvGJduTraIDs17v3wnJf2giAWuxilz1B4+fInnar3xN0Us39OJ0moiZeOFtpIsUUGFdJ6RKpMHiMU7rq4jvimk+00HMaPnO+JWQAUfMm7prI2ZFR0SuhvRbS4txlwqXQqilP53ucjzXsEztSFN9vlgdSsXgthhu7NcG/oQ0DS3OqfVeL/fcfNt/lEg6oCTdrit8CBAu/egPTicoLuR3DOnEfxWjw8BcX/L1/dqHa+BtFfFeBCovVBFbW6JHrzn/uXMA8v4JqKORGbQyKAwEokS2bkrRjXDW+OWBZz3ZE1kHYhpR3YjUTrUpRLAbskDTj211jNvxaJILHomqi+Tu3AUKuocuErWCrXtZjapvd4IEHDDkoy1GDP2BF4XK4uoAXCMyZzpr5LnVB3OKcdVYpwicEobrEtm2Dqp3VoPUQ7aYewnx8Teg8oJkKzVmSc1YWlDBVG8h4U3/6phNEGCx1qJjUuzS/nUKrvT2+S1Cs4CygsXzYw0bWL2zibsZoqEKsa6MRlZPGZBxCp1U9h25WwCStkZeb74Nq2L+tULLFya27rTPl96q75ktYm2FqvcTUHgtZ9yMCcftQdVhMEJtReujScMrPA41lUwtSZwhaCSiTpQy4KlLjiqPY11o7gcW67U0+VzLmTHIgWWwVGXLtSYJy+4zC6ZsrVyggsyz6u5zJmTj1eXI1WqGL3t98rtgdyoia3sUG3pU20gthRJMhbN1UlG04p2dHP8T58zOy1iBzy1LpB0yoKAqitGr5ldzPyG+012+Yw36v8FNPM2DtmSEm71PbflDASeksXsMTdFM80iFAHvp0rZPh7MUbJJgXUQusoTsz0Q2LL2XyeKd2pqaLVW6PTwcSieqJwZv7bF2iaqcQJdQX0TEJwAq9mY7B++Ktm3j3dpuu4ox6qkE3jL90zAJjkoAeVZ9/FYDhiipzvziCg5mY2GE6iqjHgj8evZDu0i+Xxk7LyJcioDaVTOANp2IF8k4qUileLVnhg0K7i0VwKpouWJTQpVYY75KOAYDgBYthuSxoN1lIraPd7iRRSg0/rsgJiSfarSfahn8cMLrny+Tu3W6fUXGvdU8gTdRYaNI93nsflbNV7xQPRXB/b8iI/XQNorNV7Q1+xDjIM8zgdWO/PU0j2v389dUzU7jUjPIDu2ued8NK8slcyVXBBlZJfP5hw5rwGHx1MXroefK2JZI9F1pELJzuVvhTZM0MBaGoJzOLG2yJATO3ouk7LUmuMqcLM1H6ZNDHQpz2rKBRa5crLKPNE6LmPg2Q5QI40vvbAMmTcuO05CxWlV8f6tkbZvDYGTqmLhI9dKmsDSey6iKf0uS6xOKtykxllrqfVWtVJgo2LeZ4UEXjmLg5HK2liXEW51kEelr2XOLbzRlEByHLf7aErAZBYflShNUXpuFJ7eDTTOcVR5A3Ll83cJzgd4fhfxzmJvjoIBPTCV5mV0XEZhTNbqur6KHFUjjU/02VqSV9GzKVFSrcs83vTU3sDgkE15eBnDbAR6o073xM2YQlK4jIXs7YFgnKIJSPbJKphRbcc1rggOXDtXfqYJ3UB2II0nBD6FRW65UTfcbO19VoRoafqnuJuvUWuYkwHqgibWlYGysbQzKWfcLhYVrbNW4VTRWXhHVs9lHC2KjEAoICwItBLosazG86ElqWcZJuBtFeCOHb3bIcNjNOUa2OlILz2Dbkga6aQGgTa2VAQSmc7tuOIut3b/m6Y6pnUVzlll6XZv/LK7feQD7v14DTyhT/JYK6wrO5cu4z6rdGpbHgX7vmZbYuAnZFNPLpzyRGsty1UIXI06VxSHLHPixUltps9T8oWTAqLU2pPLYPYtq8rMm/sMbphaucL1xqqqtbP4KS+OiyERi9J3EZRrVSrnj/HwdtEeoCpn/mXHQemdFt6eY1uuzdYly14tea2XfcXl8yfzhBucqZ7FZVIP+nwivq+j3wY22xVJHau2p1mPRvxPSvzgjt3zjqvLBX0MrNqexXKkuuzsoStBHt2+4SHgvOJCOYHv60RqYrbgSKP1rVMUNMus3LZ7rux91qRYbIgWHzb7LJn4r0Vl+uANfv/BmguQ0f10cmj18SiR5+G2H9p8pOh5+s4RW3fBJwyi+Tgcr4G0V8P4EO3SF/JQU7X2pJLJOhK1wxPYug1VLqrMyecqX9Cnc5yrqWRBK8dmsYF5mwHz74IJEOxnkwWAuaKJOlSKBYDI/GRuKrFMJz2VBpKqkeELj2XrHNuo5h7vbTI6DpkczAttzH6Oatomz8JHVvVeBncRG3Paz7ApsTvBZRrJ5GAVroTB2V2pyETdt8usHVk6FyrF6sC2b+Ls1D4X+wbbD6MaYJkI0Qtv6+ySgbhdyoTRqnfOU6w1hBCxaJ6cyMDVGJh8xSZ/tqsU8cn4ThPxWrJVA3clyzJmc/eH/QN5yo5dshzCq+RYOONktSFRB/NAHwazf9glNxO+lz7NkTdWsfL02H7LaiB2crivxNIM5uJBqWIFz1xtSwW4HXaJ1pXHi7BIgdoJR5UvrT07v44rq5wu/AoRCjF+fz5XYlYJbWlJ52ygfjNmYmkJLoLMFh7r2iwituNIlzN1zBxVJsQI3lp/49iylY4upVIJNGNSEWi0YZCBxEAnPUnNKGYsDyeBBicewTPIjugGHBazNuiGIW9Y1o+z8jdomBIWYBuVqzFxO+5w3nOab3BaVyzDfl9sIlwM9vMymADgpErlnHXc6U2E4MRaiTidw9qHYOdILi35LpkNSGKfilHJvqgTy3WjTC1rA2h14c55kdI2ldmjr3KW07lLgnd7EUEAVj4RnWMV7JrdRQN7U2RY7SzKLqpyGd3c+nXicJoIYD535UFhcu5fh4gTJUXPuAN2cHnZcNU3cwpEEyI5OnTI6JDp7zguzhfc2i1mA1snytBD3weG5Ill/3in1N5arVWV9t5mB5mcKRYD5OyIxTg3zgAN0sHD8mRgC8wmthblZFXqCbDBvQBqGocAzHwYS3V0Sjg4WOZRlLTDDq0cxEgN0XG7b4jSzx6Wv1VD4RW34LjfTPjjdbxkkPZrv/Zr/Kf/9J943/vex3a75bHHHuNzP/dzedvb3kbbvjpM8z6WxpSf+fAxM0EKUDt43wFwU01kcYhmkkYGdnSywUug0YZMZNQtQ75ENVPJgoU74SifIioMrmfQnjz5K1ET8NS5weNnHpqi9DLcUz73pf3lRXAi5FhxxRV9Hkk5lAqBZe+F0S7UPildMlCy8KmQ6h1dEi5GR1csI1Y+cCwDq+LIfm0MnEdfuEZWQVqKeZXV5L0vFUbwnwCGs11IKDmJ5P1NL+Z9NmdwaoHKZGI2snyfbNKdQFvrMslDFwwIdDmzjbBLgSATJ2dvPLqVjhyVbTJ7kekKsYqiBZ/X0dOlQFPIcUOpYnUJxmSGoGkCLWp2D5sSN7VN4Ct7zU+KUCCWgO5dnNSn1i5tfSwmsgHJ0/rsJroUa6s1TouVgpoTfanAOG/k+cbfy/uy6dgmi5PK2rspF1Wx34NLwYKvG2/CClUT2M3qWrX9VsuefzZZnlwNFoOlapytxjED3pQdt8ap7WnkeSfQiG3LmCtSyoxkhqyzx5cToZGKUVs6sVgzMPAwPbTULMmSyCSi9ub/R6JPV6gmRDwn/inW+YTK2yS+S5nLIXE3b7jrn2elx5z6Bae1ZxGsmtpl4bxX7gwjx5WdO0tvYo+xVIGjOrajtXzHhU3YjVNiyPRz+Po+29TarDJzLKdYs2nfTpN844XW7TmJGbt2nRgYaz0sQ57Pg10UNs7N9l0iSuMzNcrKBzbOVMuxXCfKZO6c5usmFiDpysNdUEpbW7iKfl7OF8uavg+Moydn4dZ2yflYsUuOaxWsqkAcBL0yocDFmaVA3O6roihNLMbA2a7l7lDTJTefW3aviQSXaX3CO70XoGUhZntIy8VWZDoWE2A6hDuOPTDy2LoeFTH1sOzNw3SBiVs6xU/pvMwBmHtgDftjfH/81JAdt/pQKC2fKAyuj7/xokHav/pX/4rv/M7v5Gd/9md54okneOqpp1gsFty5c4df/dVfpW1b/syf+TP8jb/xN3jzm9/8kdzmV9V4YZD1YsbUpHjY3yl1b6u0qWYjC5cnOcVm10ws5N4R1Ux0Aecdo+tZ6SkdmSFb8PqN+lM4Ttc4zuZZllW5G00p2rHBE2i1pdWG49DMtgdNmawvx4ZNinQ6Ekl4sfbRaW03nKuxprs8opOebYoECRyHxHFIbGrPrSrwK+dWQVh4oQ2R64uOqoqsqhXP71p+dVNxe/Bk4ObSYnVWrSlOb/cNd4bA5ejpk+Mx7KZcO1OEbovj+UaFrsTntB5qLbyy0t4Izm6wyp4TZMrKSFRnbuiVn41ilwmiN2VlVcDerTZwt4sMWbk72DpOawMhRxUchYo+jly6S+50DVk9R1WxQ3AWLH8pG+5E5VZ/TMaxzAZgh2yk9F1M1GPgbAioCpVkbo+B273nbLQbeO2EGLCqhHhiEu4ONbcHz1W0Cbn2ZT9547NtYmBIZuw6lLzQxilLr8X+w0D0FsuFdGJVlxuNVXO0mMJuonAVbWJYeHisSdSlndVlA83d5AcHPNlGWp8JZboZ1QDnM51nzJNSMXMUEq3LdNlxNnru9kJnElQWZZlVyCy9o/aOZ3beRADJEjYm1WrKghMPfcNF6hiSMwBeuFNLHyAtCTkwiB1EFZ0fRGqaco0pnVwx5h1dPmfb36IOR6yrx7mRHmPpjDLQp0yXEu+V/8Pd+D50SLyh+f9wcxG43hgPcFSLuXpvf8YH9Ff47Ph5CI7GG4AYs6PPFbuYeW7YIQhPLpY0ztH6WNrqpr4dMmzGSXG5r8o47uVfRt1P021Rix6FTO0UEVdUwVahXPnMSYgsQyJIBQQSwlm/hwitTwSXud54InZuTsrlmKFxkao8VdbOclUvopAMyuDL8R/UYtEmg+EuOdbBM+R97usHupqrWKK/Gksj6ZPndNcxjJ73Xhzx/BC4GIVrlVoKQp/5vz7tFzn7H5mnnz/m1y/XXJXzkbJvguR7+fz7u+49VavDZaRw6ab7xcPGYcXopUIjfch7Zw3BwTzzQlW1qbIX1fHBXeAXnv5ffPDy/0uK5+wD1j/K7c+DNvEruc5PhPGiQNrnfu7nUtc1f/bP/ll+5Ed+hDe+8Y33vN73Pe95z3v4wR/8QT7v8z6P7/me7+Ed73jHR2SDP56GPuRC2VfH4GGX+P3O0RNQmyprSa2PmPxI1sRIT9IaJeGlZZmPWEnLwnsa70hZCfjyv5q6+Km1Yu2qxpnCbjmfKSYKcAdmnMHBUZF6Vk442dVoVJKU6ojAUTVSOSUptD4wJKUrj+beZ5o2cpo6YhLCtipeVW5uU4Q6sa4H+uTZJcf56KCEUAcRfLHmqJ21WPb7Z08St/1nT7zm7r+f2PIM1CCQaZxj4WEI01PuHswFZ0BmGRy74NGYSFkZSovVoVQitMHRppqokT6ba3sRIhbyuMerZ5CBbTTQ6sotVmSK+jFbhquyH2oRNtEVs1XmakpUMfPcbLFJF6NVJmcAWr6/TSBCnx3DQUSSFwOxTtTsPw4mBCdSeG82gS+DcQulAJ5teX/t4LSyyd27TBcDm+SJfSBBEUAkViGyCBER6KLHjTW3xBMFGm8gcB0SyxCpUjAukw90ySq2jTMl66IE3DfOUbvAkDKV87NRcV1az5MQwiVnBHmx7ySl4mRUPA9FCKMoSRIqxWsMwaunpkWdkohUYUfwDV4qM4cuYDaqMmpmpHjD+SW1+H30UhGDjBl2sqMfz8lO91WaUs1JpXo5MKKi9HlJP6csmLfcVAkWzKdMS9TSVOcu3ej9taDT+b8XqVROqbPu95HIXPXxLrPwiWUw4LSJsvdjLedKI5nWmeikT3vlLFj7L+he/DCqVYmn9qYcXJu5VASzGpCbKq8GaO2Ba1TjqwYxiN9Hz5gtK3RT+JsxWEbr+VATnxsQ53GidMnAoD3EyQMgZ/pewh6UydT2n68NSmLKw3M4JxrF9H3sAXD/WQ8DbPdx/R867n//ITftsOXnytGeOi4xC8/3wpCvUB0fvvKP0rB25yu7zld6fa/W8aJA2t//+3+ft7/97Y98vWka/sAf+AP8gT/wB/jmb/5mfv3Xf/2V2r5X7VDUeKDyINh6VGXtYaDMWKsOcIhU+3VIuRiFUk3bW21MP08jF38z1ECel0AlSxqWDLJjUI+XmkbWLPOC1odZxTbJsyutaLXhNDS0wRXgY6ovqzhYRep6LWyi53L0nPWJygm1wPUq0ZZQ46gVT289F2Oazb+vLztE4LSvuDue8Hw3tYbsKTw0ysliR/CJm7sFdwZvTvljYBUDdZNYLgeSmqLx1hBmE82EUGEWFRkLeq4dJA+S9zc/LROwiPGvjotf2zSMrF4Cml2ekw+6UikaS6tRCsi7XkNAuIphBnFRLdi7dnC9cQgN7TiZfpotwUqsYnS9rmBYcZk7zgerSuZihREwq4wzlMsx8v5NxTp4am9ih21phVbefNnuimdqpvbJcXuwKssq2GTsxKpnm2jVi7PBs8vWBlpXtj9ab/YJUqxCwMCOEd2tOvhYYykIYGKQIMqQLZd0FTI3247jZU9dJ4bBc9XVZF3TZ6ueXGsGjtue5XJAnNJ3gWaTOBs92+S4ViWu1ZGTumdZj9RDhSpcbwJ1sfk4qZJV2kIiasXSK6e1Z5lbFsFxVBmYlHIt2iQrHIW65J3ao87EoZpAzUrqYqkC5zkbj40rzAluxVE+Yc0xg1zjvF6XWDRv6tGsLNSu3yDC6/RTGKs3zdfY5WjXcNa9GvJJvcEyfAGVM5Pcs9ERXE3MwkV0IIml2DEdixeZ4umTWGZtzMRsLemYhFxKw0Oa7yyzonkC/fngfHdYG1yAk9rNHmxTew+F1kdOghBrO/cnLuBQWpeVN1+040rYiJ37iplO+2KDUftMnb2BqNKaHYsVh5bHzskn7jLB+ShsYpiB7SR66BM8s4NbvaNyNY2ry3XFfK4OWXh+sAD3D/zim7k9BD6w8/zv88jVGOk10elwz73P3Xe/nigeIkKFI4ibfeOcTErYe0dmisoqkVpo4cTmonw/XFbv+cy5SvchOjKH88cLrW9aZwYudMtF/wE0D4+Yf14br/bxokDaCwG0+8eNGze4cePGh71BHw9juhgO7SkeNaTIi2a/s3LJZj0EansfNLCg9MOWpx4oS6W8HmhoWc1P9ML0frtxTDyrMSuJTMDTusBJ7WmKN9WQ7caTsKpDKJWUxk8KPDdXJBqfWYWIADdqz5gch23cqopUVcb7xGNXK2IugKGQc3MSqlZpFpGTEOmTkekzQkqmrLKJJhNcNvsIZ6V9Yf/06MrvQZSmKAcPczqnKlXjFOuoSHHkL3y5vE8kaJ2iwY7RFGDdpT2wa50Sg23XrsQHxgyuoMLGmXGp4hkmbyUKaFQjwK+SJ2qNGQzvrUEm5T7AmBOXoyfjaHVvQQH2nfoMIQGDL9YPxuOaBBMe+26b5EvSgbWEp3UsvVVUpJypU7vGwKpV+GoHC5epXbLgeCnCjyxchr23XR0sT7FqTKGXszMOUDKbhconqirig1ksVCnThMSqxDItfKbxkcobB9MXgLksp1IoADs4nSsxsPcPWwTbDifFg2tu9SkL7+ZkgaRAhiFH+lJlqFxNKCeSz55MZtQdCDSyoC6mzUE9gxyZx6BGdnKFogT1VOKonOc6Kwun18yomasxmSWO+JmveK2pWaYwX2vnI4Cfq0rBCWsf5unXjJaNr7iJ0MVcxDOFJ1XOjS7pXnVb3ntIqJjsS2Ye2CSIKWBoLBXWIZvfoBO1sHPvZguwUT0uFY6gaGnB7q+NMTuSmIefw46jL7w5na6TYlkxt/WmbUvQuT3APKyYbKLO99OqcOiWwXiMbq48m5HxRVdxq3d8YJP5YL/lSjb00jG4vTfk/cPhcWr3YU9lNkPqqGJV/CEt0eFwTBAsYkkbSVLJe8hz+sb0++E4hHpT7rF7AP7tRz54f75vXfd+Bzcv07krYupeFQDttzpx4GN1fNjqzueee47nnnuOfJ8L82d91me97I36eBkv5sIQVzMZ1U4gDCa+1PQ8NJnXhoPEATd9SBlTtc3jpKJlTZsXXBUvIF8A2sCIz/sbwaiZRKaRitY5jmpTmQlwMcIuW6RSLhWio5BYqlCLY5scMRd/J3TmqTzWBKJWM1tPAe+V0GR8yNxsBobCFZrikdJYHN1rZRUi6zTxVIyDEscJvE5eXopTq/D4UiPLBdRBMV91isFZnS0isv25gDi7sU/AKzHFDVn7tHEWQwNuJvV2yc2VKYu/KZNNqchEndZfHOXVfNQ27En4k1JyEUoyARVRdbZgOmy9OrEJeJcMtGQ1wcK0TMyKiJBH5nikvcJuD/SiCrvRMWSZK0imZjWAPVVAYoYk0z7UGaiG0op0TmebBDAe3Ekw/qAZ9prJrjgl1NCkkVWIM4G6cvkeM3YRJZT2ZpXt2JsCNc+KNydajHmlbFMqVRjmKKJFMCCyDMycwT5T/OgMnS8qV9SV9poCWx3ppCNg5P26bNxkvNzrBpHA5PBvgeNCrS2ZTI8JddQpy7SgwpVWtyerRTjdHndsteNi8DhWrCoDitcaYUieXVT6pKRsgpephW1Ky32rdALf26hsxkSXErXfA4ase6NlgEX2dk0V8UZwUxyZ7ZfWG0/IWtnK6AVXHt667KiSL21N26et39/PuuRQDcWjT4wCoHZNCFpC7ovghYMWawF5Ue26nNSY0z1vGrGgN3/wcJWBMeVCHcgEcTTOzJcnC5cxW5X5fFCkd9zulNt95JZ7ni3njOwY07bcMR8EOg6HEwNkIp4g1tL2VHOyiqe65z0T+EqMZMn2X00o9vO0jOqDwFBkf/zkBYDa/dv6QmrNwwf4MW3JOvCacOBjd7xkkPZzP/dzfMVXfAW//Mu/bEZ7WPlX1SaLlB7+hPLxO2b94D3jYaXrB9qi4gn+aAZoU6XLlr2vQiZ28/AHy2QyOY9kjfOywdXUbs1Jvs41WdHpKbUEPNYa6Fxn3JlsN6LJaqASx6qyOKFVyCXvz7Ilz4fMLgmnwM22p3GJMXtgydloSrSMEFzmeNmxbgdu7Fqe37U834dS8RBCk3ENvGk8Z3W+5NauZVTHbgxsrhqqxRbNcNpa5NMuBbwoQ/Rsuoaswm4MDNmx9Eb6Pa7irGjcJk+XHH0WGp9ZFi6JUCoM2ZSjXqzN03qbULrs6JMwqHB3CPii8jyuEkvJLL3lfm6itRGl8KJu1ImVy6QAwVllcFvUoAsPx1XmKFgCwfO9cWZQq1Y0YkrIhReOas/lYNfPpNabxsKb/Ym1gxRVI/Ub78VaK7sISZUuW5oEWJUmVNbO3GUhRuG5bt8ie2LhuVYXjpk3ruDF6GZj25MqcRwygsVKJd3bf4zJsWgGQki0VaQOmaGoSJM6hsGDKN4rPmRurLeW2ahiMUBJGPpAzpCSKfhOm94AbbExGLOnHzx9MoHIaW3GB5Vk6tJW3yXPxWi5mSeVVQQX3sjwXcnKvN1nttH22WllrdupUrWLmWfd+8gkTnmSRbAqsqriB0eWxBAvaapVUT+6YiDrqLNVPxEYpS/TcWRBhXfCSWU9xpjhzijcdk9zZ3gvo7yNN3DCMngeawyMPLMTbnWRW3HLlbviKB9x4lseayvWzixOhgRXg/L0ruPcXbCVS064wWleoerm6up2zDw7bFGUyh1ZnBV7Re6Q4XK0PNmYhZV31E5ZhYTg2RVl8a2iDD6trS0pAkchFWPbcp0cEOcdVgUVMVrB2RjKOSqzn95ktqxqx2ZSK/elglw5yzyd1jrFe/XJfh6Tne/Mr2dEHX0yXsjUEr2Kmdv9wOYyc3cYeTqfcUvfS58uGNOOlIcZ5BzeY6f7rHd16UhUBFcjeJwEewC+j2oyvT8XEDZZIU3WSKlQUabXHjb2KTIPE5A9fDwM8D1sHVlHct492mTtozheacuM3/pv9NEZLxmk/bk/9+f4tE/7NL7/+7+fJ554olQaXhuH41Hcgvv/LhKo/BIRb27/zmKdwC4u2N8EJpA2VdKmm0HGkfJAZrrBmL9ZozVLH2jjgqoAQIcR1YOGIgwIRA0MOZWoGJPkLws3aRUc22hck6G0WhqXWNQjTU6c1g2DmkQ/Fg8h75XFssc52+4uLcxFP5uppHPQrCLHY0dUx3lfmQ1E8ow7++7OTROxVUwywhDdbOLalzilyilViZeZ3Pf7QkxuvdI6s50A42Fty3cw8QJzDqgXOzYpejYZJAvqzVjUl+SDmB1bsWoVgHoDLVNFbpcyvTjLXvYWlF45LQHrwjZ5rrBWTsxWxVoEnc1cJ1Uc7OOBwKodIo6Y97yTWMAZyr4Cp2ZBEUsb5yhVxGCTHNjkdbuLXCabNG62fvZ0mj5zUyqjtRNOa1Ox1i4R1TEkx6iOLjm8eNbZEXzChci6EnrnSSX9YChK1Lq2bQkh45wpQnN2pOQZRkjZzzfaqqhOFQMBY3JsYsWQrBpTi6UtBGcAbfKA2yYDtktvthCt11JRKjYmMZOyUgehLR5lXZISZZTZ5jMqWRCo5hQAq/6YQCC4hiAtldazV1hWa18JQqtLWl3aeVtsaqbK0KQkXrmaBUc0/ogo40wq96UaTKk2dW7HuT4NDpa5Mo7q3D5Uupi5684516fp84alOyLronCfDMR0OXPpzq3Kl1YMyZtZs+wJ8UMxlXbiShqAVVJDIfpvsxTRjxCcK5XNiTRv831XKmgTtSCIVUnBQFqXHBHmqnTA9q1i8XRd8U6bvNsmykJd8kyHYvDfJzMynu1XnN0hG/WkUhjoks5egJbLquadFxObNLJ1VwzpijHtiLkj52H2lrx/OAmoZpyE+eF34vnuk172QEjL9TaBsunB2V7L5Bznn+8HhIfjfh/MB1lv0+d96IrY4XuzRl6W0forOF5pnPgaSHvEeO9738uP/MiP8Kmf+qkfie35GBzThfvSwaqThrY6Le1LK60f8gmUdA9I81Tzk1LSkawjScb5xiDiqd2aSpYspWIRHOu0oGUxn9Gtthw7C19fVTb5X44Tt0xmUNL6zEkSusqUU5mJb6XUVcJJ5GgX2UZHykbyT5gCsTrKuGDk3MuhMu+hGMgxQs74VlksR05SzxDtST0mR99Zxh8qeJepp7u6GgdmMwa67BmSWI5lqarAvlXZF67Vwtuk3hQHfokYN6w4eltlSEvcTiKpZ3A6+6sZ+VmKolIZnMOzD2AHu+kEpwSUyhnIHdTAaCzqwtYboLr03ioCFBUYJZbJmWKzS8KOvemok8nWwvh/fbI67JQrmfXe2/V0/iVSUQMqfVR2wXg/XYS7sefMnVNpBdrOk65VWBzng21b6+FJtUm3DYmsGaVijLBLdv4djx7nMiFk6tqkd2OyfMyUHT55FikSQiKEjC+t3xgNkA/RMyQz8gpOWVeDZZEWRe8ums1KLO24JkQql2fVaJ8dm+joCmiuwj7maiiq322yeCeHGS7P2Z9MBrCJnAfqcINFbqncQRQSiaQ9tT9iwQmtNjiRwjNTRhkt01NrFkXwM5am1FiUvL7s33XleWy4ifOBNi/AW1t7aqHPvmZa4cU8CoVixlwOcpcsz3Qnl/R5Q0od2WlpsStjstbqmDNbLNx+G59gFQw4N64oeF1py6eMjKaWdDiWwa6TiZM3JBgwILf0VpmuJz8xJpWmgavaC40oVcEGqVRvh1IhM/8/u44mK4apFT3mvZH0FJeV1T57zGZDs4lp7lcsgi/KbLsmxmyVUrtHTmpnsyfpUmbHQC9bco5kjfN/DVTdq3g0dXzGOztHBDPuNvPuvS/l4T3a7gPTf9MDwGz6mQ8B0qbPf/njPvW/TmnKr42P1fGSQdof/IN/kF/4hV94DaSVIch9aQEv/kJrqlPe7D4XwRHwVFrtqyWFbDoPnWwC7NdRRqIkRjcw+F3ZFsexnnKUV7xx1XCzdSzDgpU8RsyZiHKzrbnZOm7W8FgTiQq/uQ1cjHueU+0yx1XPqhpZh5qlr/mNrVWgcraWVd0mnhw3RY5eM6rQR09KQjh2hFOoTnpSuuKqq+jGQLgKQKQ+zdQnmZPatruPnjE67lwtQfYu3lWJSRqzTei3hoptMhPUx0q8THCldaMlSmm0/Xe9hoVPrKtxFhfkrqYrlaxVcKzIVM7+mXGqKdi20bg/1ypH4x1LNzn1GyjYxlwMR02xWPvMMisbp/QRBjHSdu3V7Cgks0sW07RLptRLfgpEt+rRUNIhNqUqUlOiqho7Jl2cCOPKZc7EbHy5oxDmPEo/1lxG4ZINt/IlY78kFAVcl5Qzd5ez/AEad0yfH2PIRdGKcBkdT28zXc4cBc+blrYfqwKCh+TIeJ4fAoFA5ZST7Fg1owkF1CpWm7GyKooKS59Y+Mj1ZUcIdiw3fcXlWHMxBi6jt3MtJBqfqEh0MXAx1Nwdgn2WWGX3uDLRCAqXMXB38NwdDYhZ/FEmOAOCF9FzuxfudlZ9XFeea43MnKqLEe52kdtccCN8Mk/pkzy2aFgHA9GbqJy52+zyOW/kt/G4X7NuvK17TGyl40JucU2f4Ni3vH5l5P+7vaUM7HLkTi+c1J51BW9aO16XWrr8JFejFk4WnPXMgpxrbWAZr/GGfGIqwlKdzdlAxy4lomau5cdYyylj1ZPJbLWDCKpTIojQcsxW7nJbL/D9KWDnCFAi0hybmLgoquHTRniidfNkIGLbtysChTYI6+C5VpXrJJvP21W0a6kNcBSs6ibYOXU+2HvHrBzVwpHK7JvWq71+MWaGpMXiQ5iiNBV7GLoclYshclsv5xi6a00w/qEYZ+9iED6gz3PB86CZJ/NbWEvDygcTbciIknEu4HLAuxpyJhOZTMLvH/a3iOr+Xr5vST7Y6jxsnerkazn9fg+Q+xBUoA+JpV58O3Q/0rw9v5VDudc/7hVZ52vCgYePf/bP/hlf8RVfwS/+4i/ymZ/5mVTVvSTKP/7H//grtnEfE+Mhlhj3jkdfWE045g3upimGRObJFkogsu5bJ4fSb3taz8XSwZzUwewgjkLFMnhet3TcbAxYhDqUp2zltHJcLwDtdYuuqMGWiLi5lecE6pCpw4hDGdRxe6gQLBJFVXBBWSxG1uPASfRcJWtdpeSBiNQO52Cx7I0QHQMxBuKQqKLtNtcobTuiOzMd3Qy+CBRMJegwR/CUlaSWkTknCZT9IqLFJ84mh6lVKOy9nET20S3AXJGaKxlO8TkX+wlrHSoyB5xPh3BSiOZSTYmFizd9zqF5aNapPWQpANZOssllPDimwU1tHC3RPOW14vXVOvsyWQ1A+AMPBS/3hmFHtZawU8dONtS5Iua6hMdbay64JUpiSDp7VlnIup1TfYqlslfC25PgCpCc9vHIZL+R98KEZPtqKMrRvvw8BEfTJ+rkEZRdDGxi4Hz0XJaMVi/QJ1M1bksm6WX0bKO1e+uyj5IaMN5Ex1WU+XydWnF2zZjB7iZaFc0yKh1Lv/eUs4SIxCgjN/PjXGtrTmprh25iabNxBcA1typgywj3fRJ88kQ6BDN5Pq4oYg4hq2MYrNo5Zjt4x5VlwsYs3HUyc6y2ifmcOCpAJ2GJGkOGiz7R5cyYE04cCx9YsbbWZ47cdecMrsdlx7oIHxZeuDHepHYNo4xs88iiUAUmIckiOOMwJqtCeTGQ1DqKIGavLN8knakMrXfUYrBjSpvYRaMjeEzJ7JkUolYF61PxYBOLvlK1Kl2flD7aQ0EQYfBClQ+8ATN0MdHlyOCsKp8Kr3YaU5t/w10uhw+Sidys3ohIixMxCkf2VNrgpZkfOJQM2ZHntezHvffxg+pXOc/vB3X7Klp+4D2PanF+qIrao8aHwyz6cD/rtfHqGS8ZpL3nPe/hP//n/8y///f//oHXPuGEAyJ4t5q9y+xPL66SJuJ4U/hc/uSbSvleTB05vXtUmY0QJzWglz3no082YU2X4CSDP6oSSz/w+vWG69c2/J8P3uADJ0+U6gbcqDOvaweeXG24+dQGgPUHRp7dLLg1VKxDtgrasmd1feCo6zg+7xnSNbrCOcoZEGV5Y6RqEsvzyLNXS6tqRYf2GWkEVzuWNyOh6ji725KS0O1qwlVPaDJ4qBclwD0Lz0dvqjKnrDCbhsrlGWCZwz2zjB+KeWTxN7tXFTm9bssoUyt335ieIpZ8nkQXZkUw+OJunozgvJoDuZUmFKCYKW01RzNx5ESpvLWQFavMJTWm0mSIGUpPxpdjLti+nDg5zln4/MKbUnFRJpboHGO2dtDSeyR4aic8vjB7jAI3zVx2qLlwdwBYVTLbV6R8SjPU3HG3uDOMNKEmOOEkGFg4bQJ+tJ17d3QEVzFmYRHSfL6BTc7P98H2zVizKr5pSS3i5yr6ud0VxALj29Kevoie89GbF9ZoIGzQQONagmRuDxVno+N8tHaXCCyLSGCTTCTwTOe4KK9fb5iNlrvCUbvVUXzJ4ImlN1FBsJNjl4SrIRFRbuRrfMrRghsNHIXSOixWLw1rjt1jvHFd8XhrAotdcjTeEzdLzvM1lrnlqPY80aZS7XMcVY5213C7j8aTAm7WiYWznMiTquLu6Lk7wFlvPndPLcz9f+mtdr6JViW81SmbNOLF8fplzXGw79pnOB8q+quRC3cGDtqw5rgyA+bHdclmXPCBXc9I5DyOHI1W1Vt4eLyFk8qziZ7bXeR8SDgJ5fVit1KEBudDZhOVq0EQ8SzL6xO/6DImNhF2wUyuJ4FCV4DYNiVyryUGrLRSFS6GxFWKjJoIySGjKZc30bh1d4fILkV6RtrcUlPhRUoV24D9LloLuGbBUf0kDs8itwRnDcnjKhCHFaqZnT+nd1d419DHS7IbicnNla+HgS8Rh87E/4ffxw/fd0hA2P89PXL5/fhQQMq9wHs/1Hj1gLRXWjjwWnbnI8bXfM3X8M53vpNv+IZv4IknnvhIbNPHxDCBuce52tRAjwBnjyKAAryex/h/v/GZPbenjXPnNA6OFN0MQpwz/hKUqtFo3B/NMvN+QpVojiKhhfqTGtwbr9P+h2fIwycxZMeQ4XodubHoODruCI/Zh13fbIqvUsZh/KBmEQlHgmsza+157HLgKobZn8p58AsBMqvUcVTI4oiSepBeoQHXCGGRqa8SMZqSL/bF5qDKiANxef5uSQWZqiZWH2HKwXvYmBzLlQnITtYTWpRlbrbxmGwCguy5WHHK6iuTSFMmqKkyEwsABFtn62HnjSAeVQqHzF6fPlsKQ2zil4lz89ZbokEhYBeq/KEruSv8nNrtrSTSwWvBwbIyv6rWM8cfOWzCb72jlcBxvs7S1ayCGdo6Mf5Rl1t2aU2nkT4aCAtOcaqc1iYK6JIpRi+dn47AvI1B7IlhyEKOBli3SWabiC4bYTzm4tUGBAk0xbpjl4SrUunqjPjDNsJF4UadjY7L0d5bl3VmmLNeN8lxNRoAcEVlO1V3hhJM35cd1noztl0Gi1HqS6XVibD0oQgk4Dgoi5DNisVZFu3N/DhLV3FaG4BaF8Vznx2bJnBz8zhHoSpB5crSm7HtlCjQZ1OKelesTEIiSGZUN7fVN9GMoFdeOa4yC5dIpTm/TZ4gQusCjXPcaOCkMvXqNlmFbiU1SY+sFRgcx5WBuKwGtnaxZpv8bGExnUNTsHpwsIveuG7JKmqecu6JtUYrJ4xR6TSzjXuHsMnHTxV6zRBhF4N5/M3Xpc6qYyJUrpg6K4yqpWKts1UJMRvnLxs4zWQ8jlbqwu9zJtBJk40HJM2c6HXWcoJX83q0a8ZSEFrvaWNL5ZYkIiqZKLuyL+z3qb1p95OHAa1Hj/uJ/C/0nke/trdaemXHqwegqX4EhAOfIFS7lwzSbt++zV/7a3/tExqgzaPItb1rHgnSXsic8JOPGl73u4eDhf202oPatqJjQicHymmEVDqtB08TTnCrJbQBefNj6Kd/Kuvr7+WN/+bKOFTZsaxG1kcd7bWEP1mAF5bdDhc2LC4HYvQslwNhlXFHAUlKI4nHz7Ys+5omJEJlVTBawQehkcxx1xFjQETJvZC7bN/dgauhbkq1JXmGwVt1K5XvqrI3Ls0HF/R9F+EEUqZ2pu0dA7GZ4qHlxTzUymtDMr7amOz1KXcylCieQd10f569vpLu428mgGfHsnB6gszu6YMKo05VVKUpAG/PcfOo5uLnZWBmqvSZoWqxMClVhoDZJdR+f3EeTrC1gKts95vHmSnntGxb663l7dKakzrM7vteYFs7uuTZpjWRZCrRbPvFOS2u8xBGI3ZfRsiYB9qk6jNnCRNYDLFUKKObK4Vg39vUhnvj1HY2QDauU18SE5xY2/KypDKcjZZF2SWlrvY+e11R7l6MwiZae3YRbB9UTktV1Hh7iilUV0FYBbNTCcWWQzGQu1BhEYTTyniDjbOWeusM1D7ZLmi9cByUdTAAJcH8v4ZG6FJL48xTsPGZpuxjRchYdJmXyZDVQsODVxY50/tMF4RlkKLytfUvS27smMW4kMFROWFVOW7UmdOSG1uLknLgpKoJ0VN54aSGk9rc/wHa5NgtHJtR6LM9mEz1/sYpDWaCu6kFN7pCwrdc0ckEWSmVzmTt1100kYs7OIfteGdyymyiL1Y89166XbZq0lW0x5esSswmjRKEpFYdi6r0KdJpZJCRoIFGKhYuzDSEbYrEYj8RxEDjiVtwGPNl22T7vnGOSqzlGWlIMuJcIOciBFC7mRj/bKqePaRF+QKA5+Hg62GeaA9ft41XQjTw2vh4HC8ZpP3JP/kn+cmf/Ek+5VM+5SOxPa/68dmf/Tl47w0ouIa2vmn5fXPm5gtxHPZDNfNZj78O/7lr0Iz2CfqCFrxDVlVxoQS2I9pH8sbUSBIc7rQ1xq7zJiccTXaoMSPBQfLILz4HuuRNXwyMGZ2VRguk8bBeQPCEx45Z9wPr7Ug+7wABX+PWjQG/a5kn1lse225JG5AAvhVcay6n7li51o7E7UDcOsbOkQbFN5nqCKSC9sisMrodXO4a2Jl6cNEOBtiUmcSfVO5pF0Y1KUHrMgRXwFg2D7XkGLKpABdecVOWoEvEDJ1WXMX9+4+LEepkJ3E5epJ6q7KJclolVt44WZsk9MVvyypBFjBuMT7my7Qp/mBtqXodBRjKId8UAn0oVgeTajMUQNMlq7D1RYmoaqDjOJjq1InSJzOgzVoSDLzZSEzWGYcF/+PKJtXT2r5T6+GxOrIIuQRaV9TOsQ4tZ2NmHRxtaak2LlM7WHvHRXDc6pkrWtto66qdsiigsE9GHj8f4VYXLS0geG62xo9TNQL+1ZjYpkgQa89WzlmFpZQOx+wYkvHIUlYuhsSo1hY+qS2jcTwIcr8crMV1VFlY/dpnglMuRscmWSvwpBaOKtuP1+tYPsfOscbBJ6/te7QusQ6pcC2FVpVQR04q4ZNXdozWIVF7s3pZAuuQeKx1PNkGkppVTcBA2GnTs65HrtWedWjokikZowqjekJWFj4itVI7pRK7j5yGyLoaqX1myEqbHGufeePK40U4qTJvWW9ZhEjKjquxwgl82kkgq6P28GQzsvBpFqKMyUyG+2znT1duS0GsatiUhIm191xFx/uLMGjMVomrvUWbPdYKlQtcDJk+ZTbicM5a6I0zgcyQodPI2RAY1dF6h6qJNhzCVju2CbrcWvoFMGhkimWKKDEb+Lrtnmcnlyw54USv0TpToedsQopn5Rkui0jgDfrpnPoFN9tqTjq4isazu0w9QaT4xJkyfjKlNb/JTJZgAoKHVGQe5aP2Icn/r41HDHnlhQOvtTsfPj7t0z6Nd7/73fzMz/wMv/23//YHhAN/5a/8lVds417VY4qPkcoUQ+LMj+Zh583DgJpmy9h7w2PgBHHefASmHJSUTKcfbfYWjCh+b+XM2b+6RkMhFmVFU0J2XbGvzxACFOUVwwDDCHEChB6aQsgdI+5iA7sBxkL+8h5pBd94XJ9wZx0a9zcu8Q5qwZ1CqCMuZLa3PHE0pacLCVcbsHPBqgpjMsuOXqavkaE4kAd03oc5l0zCPIE4q1NMAeeCzpWHmKfMTANwwZWYm2xZowCLJs8TLgl26opVgyn/fMgc+VSCppVdDmYum0zFGZwBmqxmWRILLy0kR5A0gywoETelciNYlSfpvhpolTbjHvbJKkwTgDN/NZs5BrVJUJmEBJlV4S6ZEajtLAEW3tp6S29cxVAsRjw6u/YfVwCOyrtSeWMOs65ctkqhMwJ6B6RM8ZeD5GWupIFNV11Sns8XABylJYvQ0k7u76XVdYdLvHqaWLN2zT2XQcKqjF2yCLKr4uPmvN2atACHXSyE/2jeck3Jkp0ivIZczIIxsHpSZY6Cgc9BHamcVI1XbtaJpY80peo0Fq5lcEpbLGiaoiyeeC+K0PhEHTJrtfNgSPsqa0bwTgkSqVxizI5N9PTl3LRKrrN1uET2wtHEdXQHKEH31jCnlVnhHIfEuh6pfaKPgTollt7xWDMlQWSOwzivZ8wOH6DyOos9zmMoopt9gHojmao2+5jLkus6ARZftmsdSgqFOi6HZCq9XK5noVibeERNfRqzEMv5MYMwMRuIXv2c5DASyWJec77sw0hipCPpgMrDqlnKwI4hXdo578SAWLluctm2OZg+W7u1NFUfWN/DxotRZD6sGvZSuMifqGT+VxpUfYJ0Oz88ded6veanf/qn+emf/ul7XhORVwSkffd3fzff9m3fxjPPPMNnf/Zn84//8T/m8z//8x+5/A//8A/zDd/wDfz6r/86b33rW/kH/+Af8Ef+yB+ZX1dV/vbf/tv803/6Tzk7O+P3/t7fyz/5J/+Et771rS9rO0UCwS8IJQT5JZ2DAs90mfzbPv1lbcOjxnwCT6qD+8dmi3v/+wEhv+H1sDJDTnY75PZt5NYduH1uwPF4hT52E5zgn7sFt87Rsx35arBKWlMjb1jjhohedISLjs2Fpx8a4jDQrqK1T73ivLKNgcsYZuL+xNcJzuwsUgFxgkejzAa0K5+RAI1kFoWsfjFUXEUjlK98ZuVtQguiXI4Vm+T4wE7mQPTGRRZVJPY2cZ+Nwp0eTmtT6p1U1n7epcDdIVjLr0wixy5zvYosS/Xh2c4UsUMWwFt0jst4MdVklyGl+8Uf+7bgNtn7d8W400Ls9y2rSSixS3AcLDvztLbqz5gsi/M8mi1L7ZSbzWgAVUxZOGZhKJXIQOakipxUkFoYsjc1ZHnC3amfM0PXIRGcpTNso/B8ZwBJgK42Nen0nRTljnyQy/EZGn+E23w2R8Fc98+HkTM2PKP/G8HTujWn+iRB97cdlx1SKi6p2M401LNH2LR/zgdlG80f7skmcL02IOaxxIhNLEkODt68HLlWjyxCZBcDw+jokrXprlWJt56esVyMOKc8f3fFnb6hS46VT9xsO66td6yuDaTR8exza877hiE5lmHkeNmzXA2Ih34buNw2vP9qxeVYsQyRdTPQLCPLOnLVVZwPDc/2FUMOdNlxvbZzfO1GE9qUiDarBjsTmggchcjjTWIRIot6ZNFGcobtYAa3qxB5ar1l2fbUTUKz0HUVV11Nlyxz86mTSzMUFuX22Yq7XcvtITBmR+sTi5A4aXtLg2DF833gatxzIFuXaetM4zxtkPk6mFgXwZmiM6uHsZ4rpGNRSaesRE1kSYWfZoAnkcxgVjocnpSP5nOiZW0PrGrgrsuJEKdQ+kTlWtbhcYK0rLIJX8as9IXndj4ObHVklJF+zGxi4kp7erclakcqaQD33isfxitLBz/DC/O7Xhh4PWBU+4iuy2vjtfGw8ZJB2q/92q99JLZjHj/0Qz/Eu971Lr73e7+XL/iCL+A7vuM7ePvb386v/Mqv8Pjjjz+w/H/5L/+FL/uyL+NbvuVb+KN/9I/yAz/wA3zJl3wJ/+N//A8+8zM/E4Bv/dZv5R/9o3/Ev/gX/4K3vOUtfMM3fANvf/vb+aVf+iXatn1Z2+sJJarppZM/z4f4oRd6ueNhAA0MlIWw/3kaiwV6eopsdsCFVeqqCr1+zZZPCYkR2Q7WWi2+ZLQ11AHJiq8sG6+PHtdXOK+Edr9vxsmeQYU2epyZwJXNnZ7CJwd+N3vsTMaxbUglxcBC3rtkWYMrf2+VjfK+TZw4NlYymkK7JzuAq5hpg8XUBK94sgkOKHYZyewDwNpAQiI6u9mOVpRjCIJk2/4ApMI5G4uB7cTn8n5PN4zZXh+SnT1TdcKXHE2w12IyHlrtrPrRuAgEy1ks7angLOrqqBqofKaPnm0MbIeSYOEcSzeW7Ewl58iQzdbkYgxzBubkHr8OmTqDx3NXjAc2pgz4Of9SAY8QpCVrYhvvcF5tyXFJLZ6NDmzdFWPc4sQzSsUgA1lsAoyMUDwCpQCAQMCVtshh+61LmahqVEhvaQ1N8T2LeV9trBwcVYl1PdAE+47myG8SntZn1uueZlV4TRc6VySPgrKoIoujkeoxR9hlwi3jKHbZWuZ1naiPM34h+POBlIR0ubbzuQAu7zOLxVCyOD1Z6wLkzSalphjHHqQnmHLWgKRVNZVVPbKsI3UdLVUjmcAll6rf8bqjPRrxK0gbqzxLXxWRh9C0keYoIQFOho4xeS5jMN6emlp8UY80wXHcJbal8jcNKVXdBZlePZWTGcCBbWco4oLayZxuYXYpppY1ly5rfVodTex6kY5BN1jMWYOnJKHoEnBkIqMM9DkQkhShTqbWBYGGNrezEKErfLpdSpyzJboRUcc2JbZ5ZCcGzhLRIpuKSfi94Cwf/O0QoE1f6r57+31WHTYeTW2x/fmJC9bsHv4Kr/MTpJT2irEVn376ab71W7/1Za/n27/92/nzf/7P85Vf+ZV8xmd8Bt/7vd/Lcrnkn//zf/7Q5b/zO7+TL/qiL+Kv//W/zqd/+qfz9/7e3+N3/I7fwXd913cBVkX7ju/4Dr7+67+eP/En/gSf9Vmfxb/8l/+SD37wg/zoj/7oy9pWEZl90ox/4V/SvzPdvKzPf9nDu4eb76zX0B60pYKHxcLA2vEJLBdQBxiNA6dZoanMeXXVUPxTSerYjhXDEMhRyIWjY5Ni8T3LjlFN9TmNCZRFZFZXZsSc/b1Nbr7cGIfSchxSSVEVxRcgIthEvx0zu6jzBDMJD5Iar2wbs3WVgSCZqlh/gAEkCyS37askUXtrm3qx2/lYqj6Jyc/OgqYnb7OYrG1YojvnYe3OAkSmQwKzUlILAX+YKhdSvn8JMp++/1iqWo2LtKXy0pZMU8s/tH3oJbOoIuu657jpWVdWeYtavM0Kh84JLFxiFTKrkHDOPNTO48jdPnIx6FxNcQK1Lqn8gpg6LtwdLtlykTs2bkPHBTHt5sDpTCQy0rNjxyU7ztnIBaP0JEmIWvLFRBS37EZlyFalERFqb4rO6qDtWjLFi32EVbKaOs4CkqgmQmhcplklwjH4lR2rxOQXhxnzHin+pMYde7xkUt63lZ3P+KXgTgLViVA3kVxAXMwG9J3PhCbT1JFQclFHNYuQrPuWYyjnSVSL3BrVkcrn1C7Zd2hGqjqaICe7YipsObnNeqS6LoTrgbAGH6ZzwgBl1WbCkeBPHe0q0oQ0cz4nO5WqSjTNyCIkWp+pimCg8Ompxfhrrcuzp9uk6pxa91XhGrpyL8nYuW/+hnsAYhBNcDiidnTpnG28TZQeLUCu0opW7cE5MtJJx05Hek1EErXWrPOalS5mg95dypyPA7f1grvyLJ1sEYRtjmzo6KUj0ltKC/v4JrvGHg6QZoCm+UGABo/++4cxRNw9/14br43D8WFldz5svO997+O//bf/xtd93dd92BszDAM/93M/x7vf/e75b845vvALv5D3vOc9D33Pe97zHt71rnfd87e3v/3tMwD7tV/7NZ555hm+8Au/cH795OSEL/iCL+A973kPf/pP/+mHrrfve/q+n3+/uLh46HIGzQKHsVAvNobjjjzzopb7iA3neRQRVuvKqlEi+4obGIBbtHO+jI665715Z5W2QlMckk0WzZjIye7+mo2kPYGHPguLDLnwtAQDJ2ZKK/e0kH3J6qxdLpOfzpW06SnelQxCmAw5pbi1ywFIsx+MlA67FIml3RJKu9A5m2gGBZcOK1aK00QtbrYaSNkA12Q/MP0rrgK2DsDfd1rk8t4xm5GtYKBBRCkevYyFYzNVWUIxx53yA4sdmE3cXmnqSF2nudoSS6XG9g1UPrJoC++rV7MfUePl2TICXlmEZAKOEsuUsnLOFZsYyKxZVaEcE2GhCyq3QvV5rtIt1CuVNvRs2OYzUh4JfoHgSusrMWrHLp/bOqTCu0DQ6XHHhlVSzTh4SMnMnMWAWD0pNos1x5TSEAQWlVWffEizUa8546tFS63ALR06Wp026R7EVVXCLR1y3OCcgCgRE5JkBB8UWTrkqEGSUi9SCWy3qu6sVK4yVZWpXEKL8jQ7ygPHvc9GuXx+VhCfqco5XNeRqk74Whm2Zhg8qp/P4bAGd1Qh6wrpMj5o+SzztHONIquAWwTCqqM5i3h0PlcBQmUWN21IZZ8yR225UklLZBonVG4fUzVfkxTPPyf4zJzlnNUA2pQl6w74aInMqD3deMYQ73JcvZ7MEQ5HdaC4HKQjygiloisIjdZUEmidWZRklE0cue3ucjv/GrvhLqfNm1lzwlZ7tm5DJ1fE3FvW8UG780Ej2oeDtofdz+f7veaDqlrmlah7vJDY7GN5vNLCgVd6fa/W8ZJB2t27d+/5PaXEe9/7Xn75l3+Z7/me73lZG3Pr1i1SSg/YezzxxBP8r//1vx76nmeeeeahyz/zzDPz69PfHrXMw8a3fMu38Hf/7t990dv+4eSjVfLyWq0ve7xQvfiwNp0Pbg6pWLJP3/fQBmSaDQ8AE+yrPtOYQAyyfzI/BGOWEPDgBThlamb2vmJSnP4PJ737v9Vse/GQr+mwlt383mKVcfj6g9thy8yfU7Dk/dvg7vvc+4uW0+8vdKsxN5Z7lzg8bNOudxiqy9mRc977rjF9//IHlflw5jxVdfbE6+mTppZZKmBRRAgaqKlmG4bpMxSdTT+9VAStCNSM0hM4UD6TERW0HF9Xcmi9BESF2bTzYP9Mp4YXNxPRoXjjzd9xqvvY31MxXHZ5f/Rmc2NAI2iyFSgyW1MA9jBhcRRoae8KB9XNDJp0Yqjb8tNxuu8YaQG50+c7dBZdHI4JlLuD45zLcVLdF2zsIWb/fo0UcVHZ3gM/PzuIQMroaGXc/TVzuJ0lNL6IXO5vSSnTQ9PDnQrzvNy9r9r1IHPr2qj7OkNwh8O5Cu/W87VunoF5XpfDF3BnAE3UQJmqPaBN54MTodaaxh2TfI9DyGSCfUrpXLhyfpdq1SMAjxH7731wtbqn3vP7/pePTuXrYx2gwUdCjfkaSHvo+Df/5t889O/f/M3fzI/+6I/yF//iX3zZG/VqGO9+97vvqdBdXFzwxje+8YHllEwiHjz/v/hxlE9fzia+/KH5kUQBiZFiIHQvSNt10PdMCdLiyzQ6qUXHyHSPC4X7FYKJBnISi4PCWoW1WMvnEMhMW2PgxDhoilWKtHiW+ZzxhfA+KTqnp6qsMreMVG0dtXMlcqtwTcqxEqz4V3s/S/hTFsQXA2Ex8DJFNE25hbEYkgKzN5OfqoAH3wH2is3p8+7Zx+Xzg5M5RWGa2CeY6h1M4r+sxmlK7M1xvew/L2ZhjA4RTyyh9xNHLhRQNWZvpT0Vumgkcl/24XTMwKqgEat0TqKHlbSsfGAR3AxaUlY66Yi5R8SxcCes8rGFuDtIrp/BmH1nh1dre6lMk2zAaygT6UF7TApAzVapoZyuQ7bvmpzMzwjTPs4KQ/LEaDmxWfe+XqpmXJx7cH1G0wRAC0cRSNmRe0U3A7qLoAGPVeAcxoOkz+hmRHdKHNxccQouQ+E65uiI0c4VKTy/anooKefmdOBk3u+mxNVS6Yox4CdSJOCcpTbYA4KQOvCbhGNAB2uHiuzbqDkK2hmAjp1jTIFUarBzhFmchAsmNDnUGc1mz6VSeX8VjfIVZsyqzNV3i7CT2SfSTGOVVLSWXipqvzJQLw1OzSA6kYli95KgFZU2NFojRVgyyogWB+uFemvN+0COK+B1+BDs4Vehloo2L4guspOqnF37LzEpLe2/D363w/Gwh8YHxysD2D4eANlr45UbLxmkPWp82Zd9Gd/0Td/0stZx8+ZNvPc8++yz9/z92Wef5cknn3zoe5588skXXH7677PPPsvrXve6e5b5nM/5nEduS9M0NE3zyNeB8kQ3ILgPyz3nzc3Jh/GulzheQN1JPwBiP9+n7uTuGaU0A7sO+cAHzSpkUnde9cjCI61HnMD5Boq6c9zYzWpZjSxbU3e6RqGnGL5mjqpEVuG0Hmd155D8XNnxYuHjE4dmzBYN1CuMSZhi/FbBLDHrMmEPybGLFsyt2OT52MLP3mSUiScVIcIqwOOtReJ4gS56iJ5dCjjMMHXhTVkJllnZZVN3xmxqQi+w9GabYPwj296qALvs9odBmMCjEeANJJQqoRp3aSKZiyjLsH99mxx1sRMZi2p0WZxsg8D5WBvRuturO1tfjFQl06VAtwskvVfd2XqLJMulahYzPB+rWd05JFhXnqPKc1ozR/+YolLZcoeUB46bp3hjfsOBurOmpmZXnyN4allYfuis7jwt7c171Z1Jc7FcMasNm/r9rO68GCCUCsbSG2dqEazlvYnwXNcwZsciRMbsLCnCGffufAzcfnbJ8sLUnWN0VGKJAjELF9sG/8HMateRRkefPLXPnJSt6HYV7pkBeT7Rbysutw2Vy8UUN+IExiEwXAWuuoqroaJyZo2y8Jm6+PQlNWPhmB2NMyHB9Hfbt4F8tWDRVbO60/vEsop0ydNFz/PPHLE8m9Sdga6rUBUWPuElc3VWU2/vVXduoptbxUkdF5uWMTqe7WpuD5aXugj7dv0U83UehV0hIk4Zw0mhi8bp3ERTcAZxeCmGtuWhyipbZovh8WQyS04JocXhWeYjnDpGIlt3RS87glYs9IgVC9YhlDzPyF13i0E3BGmp4htZV4Frteek8ozacLdfs83GZbtZNSxiIGRP569mwJjEaCyZ8cASw1mFUQ0qW7XRHYgLXljd+ULj47V9+VLG9ODxSo5Xen2v1vGKgbRf+IVf4HM/93Nf1jrquuZ3/s7fyU/8xE/wJV/yJQDknPmJn/gJvvqrv/qh73nb297GT/zET/C1X/u189/+w3/4D7ztbW8D4C1veQtPPvkkP/ETPzGDsouLC/7rf/2v/KW/9Jde1vZCIutIeoEQ9cMxVdumMv1x5ZCzu2jV3KuwBPNJ2+2QONrrbWPSwGn0PYxmbst6/eCH9T3SddbuWK+hLkSxcUQ2V8j5pYE075GrC1ufAzk7h/NLuNqV3pHCrkdu3TYC1e0L9KpDu4h4QbxDsyJXHbobyRc9OZr3WVNHi5dq8z0tliCZpTdY24ZE4y3XsCsgzVqFVpmoXEaykMTbkz6QnafNBuwal4lO0KLGjIiBPclzjNFRNVXmTMww5gkMWszTOhS/MKBLdkl0yfZ15cwWY6owddmzTWZmCwbQJqNXEaXPRv7OOpnW2neeeEBWEDJPuMkpX9XECbacBbt7LDWhKiBPMfDXFb+tXDhMtSi5gL9dMmBmlTTbj02pvriybUPh8G2STVm1s7zXIHvX/lGFy2j2IBM/qXVQeTiqJiNemY+pl4ZV9RhrbnAUKlbBSORD8vSxZemuIwgtaxbaEg6uFydizSwRomY6HefrZK4+Oei9GRtb6LbZcrReaL2dK5XbpxucjTbJHiZFVE4ZS/j72a5lTAEvmTH7A+6VsIkVsikVtewYk7f1e2uN9iX+LCahGyu2o1Xags94Z+fcMBhAuxxrdslb5utMvtc5OqqL3kx0Cw8yOLXM2GwGzdO/pI7gFecy3ikkGNVze9eyGSoWlXmzxRKB5kuF8nLXEHr7vLtdy+VB5dRRslb7ii5Z4P0u2UPCdCeK5XzYJDMStuQCoZlav2V/DykzaJppA06ktNkFJ86Uu7J/jHU4Km1wBBzWqrRKWWKQjlG3BCzmqXKO2jmiTgKLjm0+I1DR8xRLDbOAIKjQ+0BK0NPTeAuSb7JV5BIjjn6fNFDG/dF9+8paugfEvdTxQiKATySA9tp4eeMlg7T7SfpgVal/+2//LV/8xV98z+vf/u3f/pI36F3vehdf8RVfwed93ufx+Z//+XzHd3wHm82Gr/zKrwTgy7/8y3n961/Pt3zLtwDwV//qX+X3//7fzz/8h/+QL/7iL+YHf/AH+dmf/Vm+7/u+D7B2ydd+7dfyTd/0Tbz1rW+dLTieeuqpGQh+WEONGzGmHVnih5U4cFqD/Nf/B/kQiQPy4SQOhDIRamFYjUWFOfF3DhIH5O6FAbY5cQDwUhIHInqxI99+hrzN9yYOnFbG2xkT6c5I3CpxaxmY7SLOiQM4SFcQeyFGx6oeWTHekzgQoyfmhq6QnhsHwZkasU+ecfRskqPLrrQ4A+sQzcEdA2AXoyeOFj6/Lj5q65B5XRtRDAxto6dLpqTzAschsyqmqLUoZ2Mwj7MSSL/0cFxZtQbg9uC5GKWABFgHZRUs5WDUUnkqp8BprQUkqW17ETgMyQ7b0ltkUest7mgKpt5GNycOrINSF4uJLgkxBzZxnzjgRWfIc2fwczRSUtu+p9rIomT83B0CdwbHnZ45ceBmK6wLwX5Qxy45LqIlDkwJCac19yQOQDHxBRbe8anjW/DuwcSBmD1QU6e37BMHwr2JA5Vz1N7yMi1xIDCqtcMRA4YLX8ByFC4Hz9U4Ne2EpXfFdNVA1CbCb24tA/Q4hDlxoBZlo3A2On7pYlUSB/KcODAlQGxizdO7Bi7WDyQOdNFzMdR02XF3sOpOELhZjzRFIHA1NHTR80y3Txy43kTWIbHwti1d8mxi4PZgsOaJZqSpiiUHoNEqtc/1Hi8VJ1XNW1TmxIEhec6GwNNdKOkADyYO7KLn6V17kDgwAV/luDJBycUYuIpNSRywc2aq/iYM9N8ZhLMBLgazQKnCVCUz0cqUKDFo5Ni3NMHReLF7Y5ZZsVlpxVL2iQNeHbn0GJuiNIrq8Gp2RlIqrF7E6AbZHk5qXdBLA5oZiQy5Iqqf83ib4EgEYlwQwkhSqz5b0oCfBTePGodRUZP/mcjhe15e4sAnLjiTV5yT9lriwCPG//yf//Ohf/9dv+t38dxzz/Hcc88BD5KdX+z4U3/qT/H888/zt/7W3+KZZ57hcz7nc/ixH/uxmfj/G7/xGzi3Bz6/5/f8Hn7gB36Ar//6r+dv/s2/yVvf+lZ+9Ed/dPZIA/i6r/s6NpsNf+Ev/AXOzs74fb/v9/FjP/ZjL9sjrYjNjTX1glLuhw8nQEzm4N9HM4cFpHIQBKms9KJDQruIbgqnqsrIMlolw6u1GftoQA+g8chJgCZAUzP+1/eTtpCj4Co1ddtRwIt9jl505POedJ5IG3A1+COHVHZz0t1I/0Gl31Tmqr9IFoqeMwyQu8xwF4adJydHVSdCm/ELkCBoVjOPjZ6czXXde6UKkVAncnKkZBWDVCpLsOel+cLCGdVab1GMJ6MYuAqa8cU13sxZldZbG8lLhlDyJLPQ5eIbVj7DWk37jvAmOnZZijs7+OLi70SJpf23TdbmWXir9EzZkGMBYX2eqkDW4gqi8+f3lKoaZqMghbq+FWFQSivSNqZyBsKCKzYapXLRZ5u8gjBvm2IgbhMtc3NMyqoSTitr43iBq+QsxqlPXI0RT01f1JHmKyVcJcc2GkALzrJC15WBnKlCM6lkg7N26xOLYN+3VCXBJvDKC616m7idzBWPMSt9VnKmhGAL61BEIerpk84TuJTrZOlt5sylmmjrsLayF6UqVTcnlv055aE23s0B7JR9f9nbtiyD3Udab1XQWED8JhkIrx081cIRCfF2bl7FwNngebaz8PRVgBul9T4ka5NfjIFbvbWTm+kYFsVwTPYQcRUdF6MrINjRqrO0DWXmAt4tsb5Ddlyra1J2CBYVtkuOW52da42zEPuTIPN36ZLj+SGwjfsqbesteD2VcyipcGdwXJQkByfQuL0oJGIVtE20KK7Gyz38SdMlmB+aw8BZ4+y8jDNDEyoCAc/Sh1LBg5yMfwYUuC148az0GC8BV6ammIvhbznnVnps1S2xaz6psouZUGxbVO2+0YinaEOYEgey3mtQOycLPKSVKaXVefiQbe97IZD3WmTUC41X3CftlV3dq3a8ZJD2kz/5kx+J7bhnfPVXf/Uj25s/9VM/9cDf3vGOd/COd7zjkesTEb7xG7+Rb/zGb3zZ2/YLv/Dz2C1FEFfT1k982AHrP3/jt5F+568dLCzTm9Dn9moqHfMDAevpWXlEwHplFbbTx9BP+VTkV97L0/9n/UDA+qKPuFUHXkgf3NHdEraXzRyw3mrELUc0KfkicXZryVUJWD9xO0LM5CFDhHSV2ZzXc8B6u44GBFt75NYe4iCMo1XZ6jpSVdnk/w5imZBzmVinZ64pmHrC+5OvmRRemZHCyzIUvzI1s8xcrBAqKVWi5Oi0tAEnY1xRyyicPMd077LflUqZke7327dL5r4/Jmv91D7PpPtU2pZjAkrlqXFKJZnOub0Oo6zLCN7Gv6uds+1PWM6imDmuVUYsiHzMe3PcKWDdO2vzKMycrIs+sUmJUQOb1s4/L3A1mnP/2TgSNRHVOExjiay6jN7yOkcKIdtAyFFIc8B6l9yUR0/tCpCsJ/K+7YfJ7qQWcMESCtpSDTPLE8FFYUCpvbAIVq0Ds2fZjEI3yUoxkNM6LeBBuHRSBALQqxDK8aydxVaNWY3krsJR5dACoice1flofNJFEFrnySQaZ9vdZyl5pFrC6j0Fy9Flx9nguTUIz3RmS5EbIWFq3200s9jbg+dWb/v8qJoUqvZl+hzYJs9VMnBUiVWsGjFT56j2sDGqcDWaSeuQHdfrQMxC5ZRtNJB3pzcumIWwBxTPsgCQXbJq6GY0QLwObm6fD8m+UK/CncGWGbPtD1++q3kZGnjrYiKrUjlP42wdYEA+6uSn5lh4V4Cc6YimR9jJMmMZrDqWi3VOLpFNglA5a1GfpCVNrhnEugYRpU927BRlzZI2G1c4iCdr5mpMHAasC1C7wFVRgcYi71KyJQ6QSBrNvPaFkgIO7t33A7bDsV/HK1dxe218bI3/+B//44f1vk/6pE/iTW960wsu84px0j7RhlXPRsZ4RZQtE2fhpWS4/afL9/MDP/ymUqq3zMnp3WORvd8bKaTls63Sk1T2JqjF3POoSix94vXr21y/9hv8nw/e4ANPPVn8pOBGnXndZuDJyw03RzPTfeYDRzy7WXBrqFiHzBN9x2NpA3kgdo6r8wX/v9undNnxlvWW5dhTD5DuZsYrx+X5kmevlgSXOW16qmPFHXvEC/FWZDh3XF01oEIImeXRSGgyeEg7A00pmSpTClcrTFUwpqdhmR0+pid52PuieZQhWwXEi3CzLuatpe25lYpne4uJGrNFCp1UytJb9E7MjhSF81E4HwxMvH4Jtc+0PjFki1c6Hw0EOTHgsfTKwqdiZipcjhCzcuysqrEMiUoSm2ST8FgqYrXbZ2tOFUGSVdPGsTiZBAOhEwyP2XI0z3rj+NVOyAuhNvzH1QhnQ+L5ccfz/hke657kuFqzLDPvB7eZZ4ctd9wt3iBPsaosYL1Ljl6F913B5WiSx0898TzWJK5XkUVIpfoTuDtaEsQ6KMtgOaKrso+TCmdD4CraVOlKtuQTTTRen2Quoud89JyPBsZaD6cNvL4dCZJZh4qz0XE+GihVbOo7razuchSErIGL0Y7R5QjgOAmJdcg4ES5H4XLM7PqMd56TSlgGawsHgashcRZNJZh1wY0mcBSsInQV4W6v/OLwPhoWNP4JuhxYeatePd/DBzaRX83v5/H8BE4WnI+eMTvOR8ftwfHcTrndjxxVgUrMt2wbA7uk3Bkq7o6euwOc90rlhVu9p0/CMppF8yZaS/1ijFzGAT84oOU4OJbBHgTOB/jgcMWFO6PODe32MS5Hx8J7RjXg9YFdx6iRWgIL3xpnU+HuKPTJAP3tLqLAtcbEM4siCtkVwH85ZhLW1r7RWrB67exci9loBqb4tVb3JCrpkjUtvQgrX7GqHNdqO5MHNb5iSsqoiaoAuEVwOAmMSbk7RHYp0unANnXUVLQSuFHXVM68+3ZR2cTEb/ABdnqOU8/r8yez9jWNE54dlfNx5JINW+7S6xVj3jGmzrjEeZhNaz9UHuf9vLVpTOpQuy8f+q1NP70YsPahWqAfrmrUvYh1f3SG8pHwSXtFV/eyxld8xVe85PdMVKwPFaX5okDaF33RF/F3/s7f4Xf/7t/9gstdXl7yPd/zPazXa/7yX/7LL35rP4ZH1h7U7y9offQFff+4zfv5hbtvmNtRdWklwNSusXgVmEBaER4o5sCuxuWfaK3ewTpULIPy5q7hscs1v7Ft6K/bU7FxpRy1C9Supb09klV4drPgma7mfLSn7SE6hiEQLhPdruLOZsHtMdxjGQAQt8L2quJ813AVjSPmnCK1FGsOSDsYOrOECJLxPhGaPBve5iizVYF3SoXSuGLYKvfyDiaH88Mx2SfMod8HHF/BbAvsZy0RPDa5a6nY+QLyUvnbmKYoolIpmy1C7BY8JjNXredg5z0/zAjh+2QDJ+YRdxh1NbnjGztQii3A/jtOoDxIMbJ1cs/fo0KXTf2YnIXHJ2eTZZ8NIA4yoigjkV3c25PcHQfO3RkjHSu/j3cCm3A3JeuwdY6lV9bBAFgd8mxlMSlAFz5zFBJHYWRVj2aimjzb5Kk1k3BUDhZOuVZHWh8PrB2EqJ6UrV26cOVzXCIhKMECvePeJ62SXALMHevKtvdKJzsOStU0s8CxCKUlGpWr0Y6jEykKXAhe0FG5kCvudDXBGaiczFqTwo5zdpxzPjxuFbPK8kGvRuUyjuzcOT3X6VLLNjliVs5Gx90ezofEmBOKCQO2SUjqUYXz0ZsqNu099Eyc4czuBANQuzR53DmiJs76xJgcV9FA/tWYGGSYz5s+ZjYY0X87Zi5j5IIramoLdncGdg+rwZvREikaL6wKQKuLEvkwrqx1tk/X5Xw5vARrEYIXVkFYBTtvox5Y12RrOS+CmBIZ8Blq7wilmhbKvW8SpyQv9MmTVBlypHMdZGgwXuNUrcuFGrDLl1wMH0Rw3AxvYKkViNClTKeRndsx6I4x70i5J+WerBEt1TS4F2DNXmp2FR/cax7kHdvfyu86/ecAuCl8aKA2reOVsfB4bXz0x0cyLvNFgbR3vOMdfOmXfiknJyf8sT/2x/i8z/s8nnrqKdq25e7du/zSL/0SP/MzP8O/+3f/ji/+4i/m277t2z5iG/yqGjqZeN57gd0L8B/NYdjE5/nVy2F+4pyk7WAThT3p2+9m2Crz5TzmTMyWZzeWm0RAOAoVy+AZcuDu6Hiuc4Te2hljVmrx1M44RJZbCM90NbcGU/Ndq83VfIgeNg2XXc3zfcPlWLgvTq3NqsKwC1zuGs76mi451qGAIhEz/YyZfuPZ7ipSFppaqWpLJBAHOUIcPeMYSFnMDb7wd0Lh1kxgBowXFUur655nMtkb1nq3tw9QChibK5D7f1JCoP3Ba0mtlZjV4oeCs0qXoGT2ikqwCWiyTTDrBJk5MGWT7rnlzoHkB+3OrNbe09KunLyzprioKfKKMvGl+X1KzGYNuhkd0Rtg3KVMn40j2eiCilC80Sxe6ZItV9zFYRNn64xPZ/tHGHMma8aLp3HKqlQZnVO8eASd+XvrkDkKI0fNyKIeicn2cz1UNE6ATC1WbTupe+pg/LvJZ27IBnyW3oQXywOFYixcszGXKmEB0tP5sfaZIVjbNZX9pFryS11mFRy70rLejFZNq5yJQIIYX7ESxygjt8ee0LcIjqOqRHthRqq7fM7FEKmdZZv2ZX095lqfJDGmzOVo7vdng1WedikSxP4GZp2yS9aivztAn5jBUXClRZ7trEmUlIoMQawday3iRFTFjXY8uxyJLlLT0OYF6qBPmT7B7bHn0l0SJbHSJSvvqUprPCkFbCa6ZG32VbBrty3n9DbJvG+r0sJcFQX0xO+bOMeNdzRhet2qlU7N+68SIReAtyh5q3Z9GA9xartWzlF5mUUiSWFZOcbsGHJgA6bWxtZbe7veKy+EKCXxxfI+bbmSFpIzO3oGdox5S8q9Cb00knMsQO2FhV7T7/dU1R7gqbmDilq+B6zZmOaAQ7Xo/eNDA7QPJzLq1ZRv+SralI+p8aJA2ld91Vfxzne+kx/+4R/mh37oh/i+7/s+zs/PAbtYP+MzPoO3v/3t/Pf//t/59E//9I/oBr/ahqoxUuaL4YEL6dEh6lf9M/xC+HmkBExX2uKKbYDdbNJ8oYs6glZzlW6UnsRIlJ4hX5HJOBzr/Dgn3U228XFutoHndiMnuysSCRVlt1lxOVbcagIf2K2JCs91lo/YevMoG5NwOVTstgue7Wqe6RznAzzeQuXsqXDsHLfOljyzW3KrDyxDMsuMKqFjJneZ8Vx45s4JffRcazsWi4H22AKf8w66S8+di4XZIKBca/sCiKz1qSoM0cBRJYlrdaJJMtsMKDJnfgaXWXq7YU4AyCKjLIxmVF9UfHaIJtWlYkHwu+jZlUljUSaMdci0LpdWq/GsgoM2ONbBUTmzlU3qGJLM5rETN8omdkePK+pOq6JNxrhDFnIxxt1FKRmh5bk6Q8e+6tYn86CN2fhpXow0fTkmNtH2wSaObHUkS+am3uS4qkzZyVRhGzDwdDxXNhbeKn1RhdMmsMqeZRDWpbIVvM7mwJMatvWZJxY71s1A01iupIyelJVVsPYowDJE6pBYtz3O6+y+X/vMMlRso6eSTBsSyzBShVyqpWatUjkrt1ZuAtSZysGNeiS4QD14bg8FXKtQY6HrN+pcrhPPb246oiqqgXVlldFrNYypZtMd8Wv8P1wOn8Q23uANK7sdVl441ScZZMf75P1sto9zHBpqEXYpIwgruYGqVdV+Y1P2/5gZckQQrjWBZTDw/ZsbYTMqmxgZs7IKnuPacaMxMH+nh7tD5nwYudAdCxpWoeKk8qzEkTRwUVSUz7inLQ9VBk55Pcf5hLWvZ5uKTRz5Tfer9PmCT+KzuFE33Gw8q1B8zRKc95EuZ4I4nlx6Tiq4Xtt9ZszWzla1hzJrFRvAWvvC3cxSFJywCtbiXAZYeat+hyysgz14jlk4qmDlraqq2Ll/XAveBYZy32knEFhun+sKhGAmxsMJIkLjPFmVIe0Vpt4JrxvfxI1gHpgrTAzWp0wsQLpny5g2DGlDygMpd4WPNrJvB7rZekNKHrOItV8PMzXv75LM4gPdB7RPP5t0Is7LzQ9w8ugH91cqu3MSPlgrd+S3miP3kWl3vrLre7njX//rf82XfMmXUNdGsH3/+9/PU089NQsdt9st3/Vd3/WSozNfNCetaRre+c538s53vhOA8/NzdrsdN27coKqql/ShH29jIr/aLy+eA5DzwFV6vpTXvTlvl5tA1oyS5qcuEYenmi/wlC2HLulIny7JeUTE46RCnOMqXqcZHedpwLnL+TNDDrhBGLNnF61Nc1mIt433RbUl9ClwNgTORsfZUGqFU5UvCZo9l2PNVbQ2zbGUKpsoaWdcs81FzeVgVbTHg4VOuxp0hHHr2G0bNkNlZqMhs2gGnChdX5Hw5nNVbmzBKUsfceIZikeXtaamm6c9yWct2YSYKs4Xn6uxVHqCE8uILAAtZnPv70uGZSXmfLIIps4UKdmPJSapclL2lYGphLVIh+LKXpWqViits0F8MeJ0c87mlE4wZCHKZNS7z+GcYrIUm1SjGoieqn2h2BJkim+cWoVi0Ewi4fEsXGDhHYu5Sy0cd0dkl6lyZe0orE04qUSPK1N6tp4ZBI8lFHzyHDMriUQbIiGYv12MjrGA6TqYM78v9ikhJNxBaGnwmZaIE6UpYoopmULVgFjjEik4jsox8TK1/h0Uk+PWZRZebB0UIYmz416X19pgPl1jVrpkVbzgzX2mCcJKaoa04dLd4TIeMSSrMAvQaEPtFlzlWwTXIPGUo2A335pAowsAOo2c9XZhjGqcuNZ5Wm/tU1U4HzJ3hoHbcsYyL2l0Zfu8zNUZ8xo7Y8Mt9wFOeZwqnRKaYBUjKMIfTyLS5UtS6nDVG4u1iSVqkMGJmcfWsmRFXcj8dqxLehQJMwNeBsdxBUdhb8Q81aiDmIvPujLeZVNUyol9fqoU09vaQ3PQ9ndC8a9jr3CdKrZqJhht+e514ZcdTkRZrfZUOePCxVDNvYqhUBHsAciEAUe+ARpEpu+p9DkRxFHlCu/289ODVawHQdFh2LlzYb4/TwBqvkcfADQTBdlDdc6xXL95DmuRIqN4ofHKALRDHp2BxFcHK+3jf3zZl30ZTz/9NI8//jgAn/EZn8HP//zP88mf/MmA0cHe/e53f+RA2v3j5OSEk5OTD/ftH0ejlLvvK+Y+LEbk/mVS3nDZfXB+YnMSDpa9l8xqy1T4g2UymZxHxrQtbVdHcDUEuKuvgx5uyR2CBoK09hnOETVyNVS4wVy+AY5cyzI7dkk4Gz0+ep7tPLd7a+HcaB2NV3YxkDcG8n5z23A2uuLJZTyyGB1nTy8427U8v2t5vg+cVIm6jiYWALa3K26fL7m1axnVca3uWdYj62s9moRtV7MbA7sUbMINkUVl/3ZjYBPN5mCrgRDNHBcMQAQxa4aowmWpjk3tTy/Gf/KlPToWsn+XHX0SBhVOKptQJluNqI4hmT1FVFMhitjEA0a6n5SRfeFYVWUS2xQO0ahwuy+qTyggCC6jYyhigMuhtFgPJu8xW4WlT7l4WBlIXHg3g7NkqgoSSusCdQFTq8qxquz7OIEYAFZcxQUxK96VtmoWmmBWIU8tmBWzYHYUu+gZ1b6jCFyrR1bVSNuY+q7vK867hqHEC520A4tmoG4i3luMUrerGKPbC0fCwNHSLDhS8sTo6GIw+wSnBK8c+4HGJ/pkvnbb5OmSVd5qb/5mBiwqtskMVxXPQk1tuwqZ6+q5VQe20fbh1VgEDdhxOqkr1uPjJAYu3SWbuJg9vmoCtaw4G34TXwWC87T5Gl6E2nma3NBLz113h+ekRxBO002OsXWEAlBihmf7HU+73+DO8F4+pXrb3JafWttTaz5oYC03WOQloYg9Jm7XEQbEntq9gXN3zNZf0uSGSuzviyBUKkDgieHNKMq1tuaotvZgLufTkCng3XFawRONBaubKa2ny1alaj2svHJap/l86JLMfMvjkGeqwHw/KopqL3CtCD3m/NeiIp7GSaUchb2KdOLgXo37tljjp9SJYOdqUrYxFSsau+Yr57jeeJoCivsEVzHT94nrTYUMK8b8OJfhmfk+m/JwTwXscIg4vKsRLFs0uBrBl4qaZYA+2O60e/EM0kqIu2omlUzb6bWHjak690IVtvvH/fmi++2/dx0mkNg8cvmP5nilweKrrX2q9/WW7//9wx2vqTtf9niE6meuX8gD4Gy/UCblzvgUEuanNuCALzFV0oI5mss4L3NYWjdOBCSNZB3p3I4uN/SyI2mDFO8hrx6v/h5rkIxxkaJqafmZt9Y22o3dSNnFkT8Gegl0ydRsu2hkX0ep5oyeq6Hh+V3Ls32gS8JxZZOvZsgDXF413O0bbo+BlTen9bqKuBryoAzF7HOXPL6yJ/S6tNCMa2JGs6pmOmugJ1NJJrliWlusInr2YgzBqjaTncSgkNXdYyvReqvU1DJVpwygDcmRsSqT+YfZLXcyve2TTciV7A1BTfFp1bBd+YDg9ikEfbZ9fDUqu6jU3kjtkxnsSOEfpWSedlgVryrGrxmbFAXBaglWGUWhkn1mZe2U2sG1RmiDY0iHWZ4yE+/b0s6azoy+GAtPvm21swpZ8Lkoch27MXA5VFalciaUCCET6lJV7YVuqBiiGaWs3UBVKaGy4xlHDMglTyoeepVPVC7TVlr4eI5uNGOWIMKJM8FH4zKNzwxqZPyJCRgkFSGOsgy2T7KatUlIdgwEAwBrbtLJFZIdY873XBeigpNAJhNJdtOdxDslRzLKwKgd/r5b6VD4hUPxA/NScVK/iSNdUjmr3nZ5b2MRRDj1C05ZUFcGvLSsx5Xj1XrhWl1Tx2ts0wqwdt/EYw1ivnNrZxYVjZe5apsKIFS19axC8b8rDyO70dOrFC6cAbR1SCwKvaFX44glnexZ7LrVUmUey4ORRZApbameJrWUh1FNsQ6lSiZaqk3G99TCy+vKTF65SThhb3CFs6fRANpY2olBbV/V3h6cXDlfWhfwtZA0sOlWtO7Yzm2pTDjwQiCttDhdyRUVcQQx3qLVKfdASEuSQp4MRzSRCmcxF8A2fY4+pOV4uK6HVdL2bct7xwtahxysJ+WeTgIq46uLoPbaeNHjNZD2ER6PBGjlNdURtbhwIyJNAEzjPdU0KaHDIu4e9dFhO3QisEbt6dmxY1G4a55QLvRKKxoqamc3B6+OXkcSphC7jNZiEgxETCrHSVV5FX0x9TSfp8n0FKwd1Y0Vt7uGZ/vA853MVSFVSKNDO7jbtdzqK85Hzzpkm5SbNAsStmPgKga6bAAv+ExVbB6q6Eqr0JVWisOjSJmQgihRzJ5kMo21iYO5ZWMtkX0EkkUtWQXNzGet3Tdmq65tk4EVsMlras/Fg/fvIsWqYLLXMHXcNlqlbBfNbiGwFz10qagFRwPI3u2d06fbeSyh1LUzV/6pSjNJLR1y0GKVedI/HB4Dp9cqWPk99w2KHYIKAS1WHsb/ymXCHkp1NQhIqVgKkJKjj4HNUHE22Nm1LBOzK60tVSEnx2ao5pitNkSaaRkPWvpBXQz0pfXsRGm8cRxTNpNTS4kQgigrL3ivhbum7EpM1ZgmA1s7F8xMWBi8o4uZLpUYL0rlygmrvMKLJxCM71eu11TOnOAXeKlxpVqeVO2BRqJBNx3xWKh3VW6nKWtR1ZpYx5Uqm8dzra5pvQlQLkY7R8akVKW6tQgytya7ZC1IL7Au3K/rjaf1jnZ07JLRFGBPRaicsCppI7XbU9Yn1aqWZRbe6AGTx9+QTRgxZmgrWITMMhhfcMwOjcypBRVmF9Q4yzvdZU8PxVgYgjcALRgdoCsm0/10HjllUa4hO8+Ukb3Fjn2PSdGOcfHdHswmmaqMbjbfDZTEAQcpQF95pLG4uE2sWeebOFcxOhMRwL5deTgcBs7cREGhwUuFpyppCOC5l94zgajESHbZ/lsqZ4lxXuZh1azDytf08P0wb837t/WFWqeHD/GjbBGpgN0jl/+ojPJQ/Yqu8lXGSftIjddA2kdgPKzVCQ8HbDn3iHhUzUV7P9K+kqYZLW1Oa4kaV2L+vALQwMrbMe248rdRt+dBRB3w1NRULH3Fwju8M0Xf3UHpdSTGhF4ZMT5IeQoXk8YL1u54/64q/klw1ifa4GidsE2e3DdkFf73VcXTW+VijPy/ToK9t6vo+4pNX/HLl0ueL+lTb10nVs1I1WZyD9vzig92LXcGI/y/cZFpgoG4VKoxYzYifsw20VTODE2nioJVKaQo6mxSagu5uTiDsImOTRS2pcK1CnDsleMSkTSq49YQuIpCF80feBWs/SOYmvPZ0XMxmLdWUuOxtUVBmFU4G81z63I0MvmJePxE5Fe40yl3hpHL3HHNL80ctlTqYgHAWZXGeQuBD8b/GVIBftk4cEfBTFOv1aXqkRy3hwlk2WS9dFIVWQ0AAJ0aSURBVJmb5fVBzZR1Vyp9dwdP65UbtbUQg2S2KTBkx2V03B1sHYN6bsZQzrSKTQzcGQLPdgEn5j23GwNVbxFJw+C56mqe7VpLScBCyEOf8T4jWRkGz6Y3D7ttclyrHNfUQtGXxdojZvMfu4qWC9m4wDUibWl5OuCsV4asLIKj9p6Vt7b2Khh4GJJwp4/souOktmlQgFO/YJcroiZ2KdJn+3YDowlx3E0qWrx6tmreaoMMnMvzJCKewIk+xiK3LIqvzDZFno1XjMWQ9aY74bhaclQ5Tuti8ZHgvRc9F7rj8bDm8UXg8RZuNsmC3qPjl84yZyWf91PXrRHwg9In4WoMPNOVymm5+p2zc8eXiX/h9w9QYwFAqpZEsZ6J/pZgcHeU4jkHjzdmr3JSmcXHLlvI+t3B1LbWqhxpQ+JyrNkkM8/dRAN/jReWwULeh+w5Gy2urM+QC1+z9RNIs30xjSCTldD+Wt0BUuxAThszF67cnnIwAbuszNf59VpYn/TcXgRutDXt+Zu5GhO9Jjrse00Zyu6++7V1GsywvMISRkPhoh6q7A9HhjnqLKmSZaoy5lItPFxW95+p+8r1o+aNaRzOH49cXxlFZ8oFWy7CB+jS5kNy4j6SQ/n4b3cC/PiP//hMA5tyx3/xF38RgLOzsw9rna+BtA9zCDK3PubfX8R7HgRqGbT0JA7K4YcAbVpuUg9Z/Mnei+f+MnnGqmmj6xGc1dE0kWQgkedt8AJZLNw6aaKXHh8dYw7mWxS8PWmLVWg6rB2xGeFySOxSpvKOhIGiWFqHtzo4GyJjThbxIrAbAzkL50PD3d5sAJYBKpdxLqMZYu/YdJYlOGSzBKi9eauBCRaG6Izk/5ArfkosmLhAMdvk5HVvfGhkWiOad8WPaprIvDAHqWu2CtlVAUtVITOHIiaIyd5/FY0DU4nd1GcvMKzFuYmJqzSwcnU5Vvb5ZquQ2eWRQQYatyqxOvb+xL7aVTvHSQ1HwbbvSozn1heidOWswne9MsTZe0eXK0uDmDlPQuONR9RoZigqWYsgsj1jgHbaTzrv0z7tcx13yTPF71zFwLZw8YzjJ+xioBoyY7Sq6mY0ztiYrVXZJU8TA66zwPBdX7OLgV0y24zWORbJsUiekCwSqM9u5u15Zy3uPjhCNjBsOZOZLmWSKn3y1GIK4P3xUIaUTOmb3QwAvNhxTQiDZtyUfiFW1a5ZMkUU9dITJdLJFbt0bo0vd0yjDa0EKuetFZczZ/4Wfb5EJPCEnLIIZvGxLma0fYYzNjwv7+O6fmaxCFGOQpoNj1Ho1ACFcy21g7W3cw0czTC1D+3+4WRq6e89Bafvf2j9IuVCMHrEVA02QD+1GIOY0nYs+39XHnqmu9yh2COqVeKGbLFSVjfTsk0lUL60Wl2p7rkSMzZtl5R/TRF2rIr5sGIRVpPAZQJh62BihlyirYb8/2fvz4Nsa8+6fvhzD2utPXX3mZ4hTwaCgCAK4WcgAWcwRaqkRExQCmUwRIyaoOThRcSBaP3+CGAJcYjiHxosCzWVKoJMonmjhlKIkURUCoi8QOac5zznnB733mu4h/eP615r7929u0/3Od3P6SdnfVOd8/TuNd5r7bWu+3t9r+/VFtWQWL7IS7b2uTYfMNADmmDZb6TlWOmL7t6G1aYt7Xe4ZfFMmqxmWsarY/c4+jxfeFuu2u20/8p1SDKYpXdHF6Qd8wpps5Rh5bPjQ5R22z5EduuMX3NjykNN5XtcDA6b2r7hDW9Y+f1+2mWeOUj71m/9Vl7/+tfzh/7QHzrzzj5TcZoAbd2yhwO25cDrbPtfBGstVR/xhOgZIOkaH2fUYU6lKqqQkSmF0WKwGWMkqECtavYBH4b4KOXvOunT6igMzn4dmbrA1Mm0O0RJf86SfcXMKbYrx4GvsUrYsBAlSCu95U6d3OJ9RGcKq5K+qVHMpgX7VUaZ+mba1HlApYd5VWXMXNZZZbT9MU0aR5d0MS51Ylh+jskLLAVg3YslvZhUu8wiMHFR+mDOHF3FX+uJFpEH8cxLX8PSBYrcdKa3ciwSOMy8o1QVG6rAalGgtN5ec++pkiHpwOouVZrez7ggVcOFkRf8hvWihYviUG/SgdsUzI6Tp9kwaHYbQ4g6paxFp2eT6B5g5g11lFRVk16+LnW5sEv3qOjW5N9SwYHT3djOvLRRckFsTeqgmDpLLBVGB0pnmXpD7XWafkTmzqDJkq8alM6w77Ku+bwwoJpCKh2YewngSifjaYKSpuFeGm7XASovlX5T3wAZdZBzy1m8MEOEKnpUEMNhkuarPdNIxOG7F28gYDHJ2EaWqlVJpebMww6l2yYzQ3LGGHTyRVt4+s3DLgfNTawqiNkXyL2qpYoWpIq4VCUH9S1invRkWrpXGDSZXlQQxtQ+LNexY6CaVGns4yIws6QXvV7c88sBSPt9iOn/fJTAWsZP9HPZ0gpSbKApg+5apRXdthffuTqIvYwLS4YWXZ9XnVq4LYIcmzSFy09NrYRFzhSMbORKJo3vm6g4cIYGSXlOMriSBa7kjg3rUvFPwW5ivLWKjI38/fP+n7s89SnDY7c2GZgt9p1h5uX+OuxWv6xbbU2GVXq+tC3P2s+Xg/9ltDrZNhiW58TCW/FwwpLFpVo5hsM4vP7yc23ZCLt99qila/NslfHzzRX2lUUasT28SO28OwQ8PF5wPUK4mCM6c5C2u7vLq171Kj7rsz6L173udXzrt34rL3zhCy/i2J4XOEuAth6rQdkRQega5+vV/S/KxLXOyPQQrSwDtcWACZO4RaHH+OCo3C637G8zV48x8VtserERmKmSUpU4VeGpCcpThwLfDMiVwWjFbiWPlYPUqsUrzxYjpJ8j3JzLg36/Cdz0eyilmOgJWomI/xPzIftOc7cSr6mJ1Wym6q6DMmdW5XxqKp5rLsJmFnmscOTG45ylqjI+sT9hu7HsO83AyMN4Yl1X6j9NlYB1UN2LS8UFo9A2X3epokx6YUZGdsGAVUF3LX52G/G+ulro1KdS1i29Yrcx3C4D+7WEH20KSatFo/OdquEA0b9sZoZJJixBE4RlOwgVUUU2mXCjUFwppPp0moJQHyV1tJUpHssdV3JHpjyZzrHKopXq0pmFjmwUDZn2+KipvKZoMkkbpyKHmBgXQ2BoRE9Ue82+UslDS0v/TaO7/puR1jxX7rZnK8MgVXLWiY0MLFpWfXRWdHRlywRKsYRo1J6pMlQlacFIqvpLQWsEpi6JvZ0m1xlVUOw1mgMXqINoC/cdaGWYeUnH3q3hwNc0OFxIzJ6DWin2k8Hs1DXdC6o9J7FGSa70qiQoj05FNRqdCgU8Dg+qoeSAKkxxYU4IDQ5NraaUqsJGQ6EyBkphVcZj/rMwuWXut9kLJZvOMrEKlYv2b2QVL+AGOn8ZuVYdwxu7qYQYxV71Y4yWKt2JDeQ64KPuWlzlRpErYejaYpC5lxf5UryW0nQtMyXXymixJ5l5zcxFytSuQyxhJGW6k5rFP1uKrnKj892TrhE7zrJda/aaVR2ZjxqfAu4qBS5jA2MbmFjRs/mgCEqlwFVYsiuZZ2I815JnYhMMVg3YSynTxwrHE4OS6+OSzatzglMMbl7h0/MBdxrLyEiHi6c2DrhTfyEfyybsPG7Jb2geU1LUMLZSZDQwqfXcIlKXriTRCCMWhGn2yX4HVgON5YnfsjF2O2lULAKm4wKw5W22ptYgwVf733HNpPMwWoJmwcpJf9RnK8OXPvv/cGuW4d1Bt03vPf/rf33w+A2eOxTxgd+Vq3hUiMEzB2k/8RM/wbPPPsu/+lf/in/5L/8lb3nLW3jVq17F61//ev7En/gTj7xn2llwYuXnCtanNdsCgjZAM8pidIFVBQMmjOIGWcywMceqnEZbKreLshqvHYTrqKhodE1YMt11eNAVBCijQQfVCacrJQGawWCUTmkkaas0d5F953CqYRhGZEqlNkZK7Cga0bJlyWcsN1AHQ6wlVfpsZdlrJCAam8A4pTlrZ5g3lu3GsusMLoj+amJD1x6mTbU2QdJfRkl8uyjFkKCHVFTQPvDaFBEkO4AU5JVe0/jYmXraVG1Wp5n4gVNUTpLHAy0sWKHb2XNykY9BNH2xYJyJti/Xqd1TFC1MFjNG1nbtkQojDbFljGTcMyNFD4V2wpgF6RVaB8PMJ7NXFg97o6TqcRgCQ92KkVOazwdC0iypxGq0lYQeKSRQga5aT4ZM8psBCQBCEnm3aeWW+WsCbCdfN98KwA1czSWj74EypbKlNZfoj9proEjBXoRa6VSpJ6nxEEQ0bpXCB1IvWpUawkuj7gxLbkx3rcVdP4oFR1wwVG26yke5RpWqqVWNJQVoURNbNiJNWgI+Vc0WGGOTjtTjcRzoXQiwETcxRvScj4UtbLBs2xHzOOOgGTK2lib5hGUaruUZ1NfIjU7jlyohg9zHmZEigNyo1Pu0TR1K0UtrfGzNoltAiJKWbLtTxBQ0LVSryb/PQ6UVUdOlCttrWkWxpYlI27GDRr7by6iDIaKYO91pP4dJj2kUqXMEqZG67LvQkVwHkTgoKSCIITDQquvOMDaekXVMihqtxcKlDppMC4M+sY5x7hiOKorrEH3g2l5JHeS6i95NnmXbswEu6mRjEpKWTSZ2VktP3s6/DQmGfFC4EISND4o6mFQZq7tJxfI0Whg3+f4ZZFsmBcRt2zl5Vi985JYR4iJ4aYuTImID0wVsiaFDrQ9M2ufX4YBQAZkyLFeQ9rgYfPZnf/Z9pTLPrXfnYTz22GM8/fTTPP3003zoQx/iHe94B9/8zd/MZDLhm77pm/jLf/kv83mf93n3s+lHDqJtOy7FuT44W/5MDBcXAVqhJxRqwjX/OFtqSIm0jtFcZ2A3mYcdAoF52KVWU3T6EouiyqCUwtEwjw6nSnwK3qwaYMkYMMGSYYPFE5KWJdKEQB08cyrGjBnpnNzo1CpHmKXSi+v29YGYaOYq8kyVUXnNvlM8U0Ku4PM2PTeKhknWcFDn7NUZt+uMT8w0RotI/vGiYWhcClREb7Ln5MWeq8iVTLzF6uTmL+lH3elclJIgERaeVnOvKINh7hT7btG6Z2Rlmz4q9p00/75byYtwM7NczTVXc2lwL9oqYRdzbdjQG2xkhscHUKS2OVUQT6drdoDRiiu5YcOmGb5uW+eIWLnxikm2PDuPDK3jBtICaep10s5EpnVGY4Q5szqwkSpi23TTbiPNz9tniejEIhMrDKELiv1omKXK1tKLHk2MTVMaz0nQVKXKQ9ERyRgG4G7lU1PrGcM44HpeMDCma6n16TncqRzbbk6O5WqecyU3XCvk5SLbFuuRThBOqkhMPnEeYdN8hNtz6TeaKcPEWLYKS6ZIgRw8W9bsMsMrz1PmCpNMPLWaAD4E9jhgrg4AuBIeo1DyHZjHBqccM7bxwWFUziaPMQhSxekJlGbOAdvcnP8fimyTDb6c6zZnM9NcLzSPuytsVxP+Lx/hI3HOfPokEzvorC+eGiu2ipy5k6Beij3yZO0igddgoBlbGBpJ/+00ht1GijmaIEUAGxa2ki9ZO8mYewimZXjkXm/iwkfMR7GdGeiWVZYKY3xguzLU3pBr2K5hpxZ/snFmuhTk3TqjCYpblQTKPkqRxiC1UROtogSdVkUGFq7knoFeFKeoZNWxkS/M0ayOZMYzGlfkI4/OYXNWUs0s01mOj5rxIP3tWo7KDI8xY/JsyZP7AypnGQ8qhqOGay+cgYfgITRi85GcbNAmou2Cblx+v0YvD4kYpCKdCN4pYuqC0qWNl1rOKZWCJBVTdbPsS7W9gzVC6x/GUoViDCkYiwspcmwDNI5n0paPXS3twzvD1bsbDG9toR6y/FzY63PeZmQRoT5k/OiP/uh9rffSl770nss80JX79Kc/zXve8x7e8573YIzhj/2xP8b/+T//hy/8wi/kB3/wB3nzm9/8IJt/fuOc2nuceneJUTNYDGKzMTCG2nlU1OQMyOMAqwo8NU41NLEUhiBVB6kYRctGxMeaOux3OjmldVfurxLT0MSAD1JdV0fxktJocmU7Tc3cycv8oJGXSJ6EuK3NxH5j2G3oUos21xR6MQOdOmHQ7tSie9kwwjgNjcOayEGjhdny4ug/NOKePjAyG44epshLWSuVhP8LwXjrmSU6MQkkZk6CEY1UT7bMi4uiw5KAU2wxxDRWWALFosdmjJENaxlaxUYuTEiWzskmJnEzN8kyIXVrQPaZ68jIyHE2RpFrcXqvg+keSpkOjC2diF987Sx1WPQT1SpSqIDW8uKeJS2OaJXkuvm4CLBcaNtQJTuGuKica/U4LqUxW9sQucqmawRf+cgBc+6qTzFS1xi4G8y9aB99lIKTu27Gs/qTbMXHGIesS6vGFESUXlJv7bEapSis7jo5QPLL85KurKOn0IaBNQw0iclJnRqixymHwUi/0tQvs0mVsyH5XBUMGeqMQosCrXGhkzLo9L0ahRFDlVMk+5oq5FgytvVHqdwBTeZpe4i2zcYjltF8gwO22WWfAzeQCl4lRSIxVevKJGLBQDaxvc6LpubCKkoafq+OXRFAltLJnvYayPfOpoKfrGXT0o9zkZKIUQplU6eLmNLa0BUIVJruXm/ZaZA04NRpmQClohKj2spS6VQhxRES+Oc6UujYBWhdak5HCu0Z5knfGjS1N11qVudgxwq7EcmmNcW+42CvwJi4CG4yjblqGUSHtiVNacgKTzYJ2Gu6s6qJPn3JO9Ec8oy2rY5PLaKdTqkfiY38HpPgLkaIbdKhDTpa5irRlcosCcQNS7nIpYiifT2EpX/b5r1hse2uQGCJvjscrK0QOEuvnVAGrpYleczpcbH4w3/4D1/Yts8cpDVNw0/+5E/yjne8g//4H/8jX/zFX8x3fud38mf+zJ9hc3MTgHe/+91827d926MVpD1wUHaM5qzb7ipl3QZPR8wYMZhoMUp3LXMA8phj0AzjQLQ7yjHT+zSxxFPjYwAaPI4QPSHWhODQ2qJVRqYKrBpAsgrx0VPRoDqKXkTuFkOhpbl0jKkhdYipkEBjjMWwMFLdreFuFdmpfWq5JOk7gNpr7taWO7Vhu5LzKLToWmzy5Jp6w16j2W8WL6KBFr2J9M2UAM0FOn+xNJmWVGlYzPLq0L74kyeTXnieBZIxZ2LJfIhMMsOGbV/Iqcl6ShsZrdjMJQAbWwni2nSUtLsBkyuMbk045XwCErANCcn3TGbrLigqUh9TLYqVPHlRuaSdOfAGfNtZwafCC0kp1RjmXnWBaJ6aZXetfJBODY1fMC7te6NNl9ExVIHdpqbGJdH8gMzolFL1NKqmjnNQd5mFTaZNjtMpuHMNe3qHKuxh1JPdXd/4NmXaps9jsjpQKc2ZtG16YS8AixdWriUAay1MWmf89r4soviTFWbxUgvIhKNQQ8ZhzDg33eSiDIE85OR6jFaGPA4ZqpyhsQy02NcMgiZ3G+wWv4N52MHHRX9GsWKRfVydbRFUxCvP3EXpDqDSvaWXWoh5kjlEug/SuKt077ko1cb7Dew3nsJoGSPVxiISTJU+MneewliGsX0utPGCok6MWakkNdu2UZNAuvV4kzEvvXi9kdaNpNZM6K4iFFZbQ4UoAVpbMDJJ+tGh9YlRVXgUGZDbwMZGhVKR4DV7+wN81ASvUcqjRhq9UaA3HGbY4Oom+e+p1qMGNcqxgLYeu9+gMjBjhZ7kC6FcWJxkTJGwSl0dugcHCpUCqdip9VNw5vxiG0kgvvzoVW2lQbs95Fmj2mqJtmfVSVgWnoU2BRuPVg4ch0NVCHruGO+W2DjhMlBO569Je/jn9FzgzEHaC17wAkIIfOM3fiMf+MAH+JIv+ZIjy3zlV34lV65cOYfDe57ggQK0ewVnLfyC3o2QjDbQWHG3Dg6lDTE1Zdek/pZIk2ETNUOVkWkjlWwhkPucSlXsqmeoqWnClMpJ6sfqgkn2JLkakscRwzgUMTiORjV4NedAy5TSRMs4bjJorQjSw6oMgdvugAO9R9SBK+E6EyxN0hm5CB87cNwO+1Sq4neZJ9hIkkZpA5Txf/ctz84DZQh84RXLE4XjsaLGENhvcj4+t9wqpTLtd2wormSeK5kTFiqIAepuvbCQaA1v28o4Q2KMkvtJazcRo7xMx5aUfhJ2YK+RqstRpnlqCJtZYGAkRVmmFKFVosO6kUeGNpCpmFowiQHvUEfGRti+NuBognQ20CEysaLHy9J2m6C421h2GkOMis3MM7GOofFMsobKGw6c5VZlRb8V4fHCsJFE2C7KODybUlOVj2xl0kpouMQsiTVKpHQ+MXKKQismeetILBWW+7XnE/ojTMMdLBm++UImviDTGk/ExoyRvoqPDbt6j0/MbGKCInf0NhrNC9Tv5MXZFuNMk2lhUtvgQivFyBq2ikVBR3t9YhQNVoYwRG4g3S8KrZZ86iBoCRyu2IKNWFAYCZoHibmS+0BxjQ0KbRnnhmvFoidsiJaBH3GDl0q/V61SRbQEL0MLBgMYXuA+j6lLx54CLo3YRAwtaAbsNU8ybUJnzQISqEcWcUSdWEQXIy6k3qbJEuIg+QLeqeBO6djxc55Qo+6dLua34lV2uxT/tVxvMraipWo7DwDMvWMO1NGSDDykwhsx6t1vFHMvAXIThGtvg8X2u1uFxWRlnInp9NDK/VwGxXZtkm9Z5PGiZiOrsSYyTR0q6miwKlBkjvFnRVSuiXWg+b81OwdDptOcfOiwSqFeeFVY5v05w9ld5tuGem7IbzeYAObGCJUb1MijxjKbU1ZDYVGFkWa8dtk0loUQUutF2WkbZKnEoUquUQLBGBczuvZmbFmvFnppD+0E+fB+umXXBBiLCoL0e6rdjIf+fi+0255XDLZ3O5Plh4nP9HTnReLMV++Hf/iH+VN/6k8xGAyOXebKlSv89m//9gMd2Gc+jg/sTrLhaJv5KkLy33Fd6xGNxcUKpxua4FMzZS/tSYhdkYJCYZTGRoPHYlSBilUK9hrRuOmMgZowiCPyUJBhCcTOab1Nl2oUURUritaIzMhr75npGRVTcoaYdM5NkJZHlY/s+DlTvY8lZ2glBdQERRkVe04qKHebmlxbxjYysoHCeJpgmHnD3Qr2ao/ViqGWdjW59tTBpJZMitKnVGLqnNBWwUnFZ2Jdlo5fSu/lWNrm3i62aSkRBg+MNKaW/cFeozuWqk13Xc0dhfSzYddZmiCVjIWOjIwYhgI0UXPXi34OFAMdGdhIplJzcmdxQbo8iH7bdD5YeXpLhCjGvLv1Qksn7WwWFalzJ2NVhyA9YBML06Rzm7rI1Impa4iRTInreuUjPj0MqyTCr5nhfQk6UOoSG8Tyw6ViiTyOINlYHDDH4aj0nKA8k7DFFTVmM5fm3xFpQn7QeHwMbGYZQ6u4kgJ2F2EvpQRRoJf6o3qERWuvJywqDHMFk0xSrVnyoLMKXHonS9Wk3HfjTALyiLBZQ6vJdeqJ2a4XF/dKoeUeyHXkSq6YecXtynZ2Hy5CgWi0bgykmvMg06l9lTCHOh2rVTJZMFaKMrwTVqzyAa1Em1j5hS1LiPJd9qlC1QXpDFEFsaGYx4ZSlwQ2VsXnSFBVp3yd8QpvTfck0ogo3iVjL0XsKnQ79jGIP9+0EfPgtpH8oE25pknF1CVW28DIOsZtr1dn8ChmTjNORR56ZFEjS6w9WWoXNmsyJqWhqINUnxgDTjRqSolnopuBHnqiCxKUWYWymuhTcOXErlZl6ebQur3wq4GZWg6q2gFjccIqLjQFK/4XMdG6rSZgKTCDo8HZoUDwCJY1a21VzXLgZpb2dRLa4zBGUq+PQiTzGYwzB2nf/M3ffBHH8YjgZMZtXePe1b+3f5OXmVIaFTVNDGhtCbFBq4xAYFddwzRaKjUJzPWMJmZYb1FSF0ogoqIiiwVBjYhGDHONzin0BnkcksUcg+kCtErNqZkR0oO+LTpo+xtWUdG4gEeq5io1RUXFRrjCQFmUUuw1QVpQecez+pPkjLgWr7CRSeCx0xgOnOJ2CZ+s9inIeDw3XMs8Y+sIUXGrLPhUmfHpmcMoaZdzo2jYymqsjtypC+7UltuVvHQmVnMli8nQVXqMShC70F2JpQFdm5lJak5eB2EP5k5e7BKAwY3CSVP5KFYQO8mxfcvC44XjyVGJJlI6w80yZ7uR1OuTAwk2rw9KIoqZs3y6tGzXKmmRTJf2HSmHVpF5kO3vVpGdTDH1lplXXM8UTdQcOCnSuFM6yhCIMWOea+lhGkRn98zcsedLGhy2meCjkSrJIBqw23VJndrYjNQApcSyZK92cv1jYB5rnHJcVy+C7EXoaLDRUqqKKZ5al2gsgzjgCmOUUuzHkl1zh133CSbmCSa8gOtFxmMDeY/NHNypaz6lP8ELwgsZZ5onh/CCgSNEaV7/bKmYuYBVihsDxYaVlPaWl+4Td1OesA3WhiZSaGml1U64B2ah7Rqm5t0jqxgbkh1D8mlLwWthFC8cOIY2YIjcqTN2GqlmHBi4nnuu5Q1Xi5o6aD46HXKnMuw7uWfGRmwzXpg1yUvQ8PFZxm4j95JzYslyvaBrz7TbKHaV3Cfbdc3cW1y0FDqZqhrxzRvEnCZGpk3EaqmArHwS+at5YtlVFzCGxIBNXWCqp2I1EjUhBR9GSeqdYHAh4JVUGColfnQm7b/d1m7jqb1nMMwZGJkcFVrac5VB82wpbHWhFcPMMZ5UxChN3GM54NlKArQrZc7jeo4aFajCk4/2sXuR2/OCfH9I8ew+9qCEQd49QmOEprHMdgBqimGJyjUECElMGQHKEmUAo9FDC5lGWSN9rzRg7YKJ0XoRAC1HtiGxZi5KfrONdkNcpEQPidPUskFd53yrl2YRRx7tC3TB4XLAFo5+dgrEucMdpGr9S4Bz90k75+1dVjx8HvSRwYMXEqwGbmIuEWknc/K32k8BOLC7ZCEjKDHmrJhT6hkqSohmyTtBqcZiVIZlQDA+pUrbxtKOqCJONTgaCdDaik8ytLLYmBOUx+EI6RidctSqTjq1AUMKrNbJxiIy954pcyKRnIKBNvI8S2lD0d7ItkYmY2ylgbf0+tPsNIbt9GIeWyPpFuOTbYMIm/dd6pmpVKqQC+RaNDOkl00npEee05lqBdCt/ilSxsXLTicGRwoBpEJNNDh07aPawoXC+PQgkUq3mZdMSUxXzhqxLlHQebfNHcysYmbEfd8o0zVBr72wj5IiU2hlkieVCMqbEJNgPlD6yNTJS6GJbQ/RhlqJjjAgrEpJZNoEZr5hT+9johEHfW3QSVc4Dw0VDZWq8Npjo2UrbJIpjVGaGk8ZG+Z6zgF3yNSIPF5nYsUQmWZAFbY4ULdpm0xbrbruBkaDiz459MvnhYmMUqq2TJWelQ94rbDKMDBBtIlKWESD6mwnNJFMIZV26e8oOod7q4S6ypEWRxMbGOiQLBA0PlmSjG3ksUHNyLpOuxfJCFEnvWJkbB1XJzNC0MydFc1VV5UdxfIhk8C3cIYda6iDXtFJDnUkT6nv0htyk/qw4sUKIhratGeuxBst8xoXgjjop+tce6iSAXIWC5nURZZ0hsLOORpSd8pOKqWVwsRIVEo8uhJbR5T4wrTaN8TY2gcpHGqLF0TWFTvBfOlDsgqRsdA6ik5fe6wKVAGmXjNtMmJ1ALVQb0pHjBIPv7KxVFPDcG8uEW3jiQ3EoAlB4bzBlZr8wBNt0olVgehJlZwxCfkDsQ6oXKOsRtU+sW7uaLpsJQCLXVf66MOKrq1l1NbZWsaWnQPZzzombR0Os3QsFQ4sfXZaxLmjnhm8uhxBWo/7Qx+kPSd48ABtFemBlJ4QASAaYgy41ONzbnbJVMEgjogEaubUYYaLJVYNyNUI1NXUp05LoIXDp44FQGduC9BQ4miI0aGUlabSDFBRjD8dnqDkiR1SeBeUx0RLwZAsiZQB6iAps0pXaGXJfUG21NNy6qT11NwHBipnnGmG6U6tvcYhrWD2G2lDs5ErtnJ5IQZktr7n5O+lj1zNxbG/c2tPHlPtM69ro8NCyG2Tdg0WPmAxik4r06nTQWI/QlTSKDtEhqnY3bIoFAgoyhTESSZGdV5j4nslL+1WkzRziqnR5MnPrAyGOrQVi5HgIge6TVOZzsC09JLU1qQAzEeaIC/uaROYKmmynJNJ5oSI87Dj5+zrXWpVMo5bUhmsdSoUiNQ4DvQBlZqSxYJBHLBpMwqrMYjNQnSwDxw0txjbG8B1hlantKvFVRtMzQ2qsJ8E9jKWOlUZGrTcVyldnCmp0iVIyk/GKaKjwnTVgqLZKYNa8YKyiYU0KpJFhV/2nEKun4my3JXMMzaewgRqr1NKUV6mExvYKmomw1K0ZlGnayX3amGkAflw4lAqcq0sUwAmrbCkI0ZglDWgIpmxTKqCedByvyTmdmBE16iIFEaTuVQsgZGuHUtpeqNJfXUVZRStZuYkTd6EiPMxaeXovk9Nuj/mPlAGR9ABgxT3GFQXOygl/VVjCnhbJq0N4trWSB25hO+IJaXEVsOmCmof5GfupeNAjGBsJLOB3MjEpvSKfWcJex41rFHWCOGkAwFF5Q3lPMc/O0WNMwgRNwPnFD5KdYhrDG6/SSlJ8PVqENRaX+g8oG1AZaAKJ2nArgdal6KQf1L1T4yAS597GY8oiQkJzg7HTC1pZhebVctiwOXignVYruRcyXzeH2Xk5zA9GOHkJO5rG+eJ8xf6Pxpp3D5Iu3CcLkC7n3ZQ7TQuxhqUxscGHITomJk7YMCop3CqoQ4zSreNixW5GaO1Jqiw8kBXSgRCHgfRsRv2iNHT+Dm120dryzh/klwJ82ZiTheSqXLtIeaMyGIuqTNEq+ZCa9ehmIQrDClQSnHQ0PVonLtAiJEbRc61Qsxid2qDj9L0/GPTQOkCL5pYnhxEbuROUkp1xt3G8vGpVJZmWvHUKHIteTRVQUxv58l0NVOiH2szEa33V3vlFiyBpDpblk2r1nVdp1YzwoxIBZ3YIUzrjDpotuu8E+y3GrC519wtB6mJueHASZAXaRkwxYGzWCWFFtsVVK5lhqS6b9ooPjmTl2HLoBmlGBnpRlD6wJ26YlfvMWWbXA25Eq6zYQoKK825597zjP4oU3+bx8znssUGV7KMjdwQogR6xmmymAFjroQtNkzB9YFlmGwm5t4wrDW2us6OvYJVAwah4EohHl5Xo2ZiB+Szz+LD6lc5YMq0KQjRJPNRuJ4XuPqzyY1NQnaV0tEq+VFJcJKbpNnTgYFxRCy50l13icLAyEpHhVaP13q0tURIkSqSCx15vKgY5w2FdTTeMqoyCp1TesVm5ri6NWV41aMHkN9yjLYbhmbEvrNMrGOUNxRXA8oqHmsOsDpS6CHbtWVoA+PMkefCxBkHm5nDRciVwSMs2pXMdQG9RQoJJlbx5GBAkYpXxkKmoRP5o5XCpz6hlRf9oYtSdJDHDJWCtrmLqROIZ9817KspozhhwoiRsZ2lSTu+QUGOpEFd1KnaWDEwqrMVaQzsVIaqsalnqsEFxcCIYayLiklm2Kk9d6vI7fmA4b5jK5uTZZ7NrGJsB1QBbpYZz/7WiM3tkmxcUR0YiBIszp3h9sEQ/auBLBMN7v50g9ppfNQUVnEw1cxmuQTPTgx4tYpkqa9nOxFrewSLNE1MZ9sf6BKV8jxN91+MihC0pFe9SZo+MbmNqJWWTPK8kEBb65gC34hOk7WW1V2HRdZUpd+PuvMfEw+eiNppPjUfMdUf5WE2V4eu/uJc8XDP6LlDH6RdUpysT2ufrKuBnVKLDgTiVa/xOGL0ybl+QqG2pGJTjclClvRkDqdqseOITaoQjYRQ40KFDxURhyKX4AyLxnRsWbcPZcX+QwrikUJ96VTgYkAHRVTSZcGgJXiLkg5wMTJNQcjcJw8upRgYMWuNwL6TXpS79SIA20hpzExHKq/ZdZbt2jBz0ohezD49A5Nm50ExT82gQZiMYWrm3PqgtVWfIZ2FJjWFhq4FVRPE+FbSkCJcb7McbUp26iylNxw4jQ8knZkEq1VQ7NSWMmimTvREKhUrtIFc4+gYuirN7G160ocgBqQ7rqZUFR7PRhwzNJJiNFoRQkxasW2m4Q5D/VJypPrWoHDE1PoIMj1mI2wxsZaBbV35hWUZ6owsbqAjjLOMwojgP18KWKWUJecF1edKZazOyFOFZY6k3DZzS96MhdmNccFkqsg402z6QWcsXMWF27tP5y0+Zxqd0jchOcQHFpmktkVWrkJKUUqgEdRiuuSW9pvbQGEdRe7IQstMC/tXmIAxMbEvmmwjMKkrKicv7FwHdGJT0WCyyCBvmDRS6JEbaeO0OFY5zkJHYtK55UZsUuS4VFeJWRiZFOQ62bXo2PWBbN91hTIUyQ5EnhOrL64QxT5DKSi9p5YrziAWDI0lTxYeMcZOF2+VVLFG5DtZe9G8mTS2uY7kUTHKNDNvcDGmDhoKo6TN0sQoNnPL3Ct8iOw0lq2qYFxL5WVmA2Mj51MHxbPTESHCcObwXtEEk2QEirm33N4fd90HSi+dDky6vq5l3LylCsKEFlrGvfSaGFXqqiG2NYv+vDJmXReApfujDZhBJmIRRZO23baKag1ml8d7uS2Ubnt9tuza0r6XA6yO4V0KzFZ6rJ6AewVqVdDcqSwuljw6Ic1nHvog7cLRvupPxknN1U9m2Uy3jEJj9ACjc6wuyNQIHxsCTjRnakDBmJyCLEiAFFQQpi3OcWGGC7OVbgZGZSityc0EYyRNapSU3bUFBAGPIUdjyBhQxAJIlaXK4/E0UV6sJj3cDJo8ZlJ1GqVjwUEjgUrLKGXJHwsWzdCnDvYqj4uBkbYMTSRPTc/3nGGnNtxNbuwbmXQ2GKVefQfOMnWGvSTgH2ip0hsZafJO0n65IGmlIqqusXKbBg1hYXw7dTq1gJKDbAOoOmni6mBTCympysy0+HSRmLTd5Aw/dYtG77kWAbcP4td2u2yoQjJr1ZrCCGtUpzFpWTKPo4gvZYiV9KESFsrjifgk5h8x0O3LeXEHDdhkpK5w1QwZW8PAqC4Y1cCGtUmvp7ruAsuVlNLXVM6v8ZvUUYx+ddKBZSoyyTSlV1wpbxCTNsx3wRKMM9FjNT4k/ZmkwzzSxivXgNUMEvHrkR6LTZQ+o61B8iC1HmrNgV0URsMgL29F++KVl7FV4rmXZQG64E96T9oUYInZKZghFCPHZlPRBENuvAQTTau5UlgbGGYOl4KD3HpCq6FKrYuypLvKVDpOBY1XKy3NWpYy17H7DjRx0VLMABNryYyklGOMuKVr2lb0hRiTdU7EI+3cBspSGNX1DJWqVUk7WyUVrSBBI4Rk0kGnwwP5bpVeJkMutJXJYE1kGD1Xc2FYp01gtzHsVhnXK9mSVYGJ9TRR+nE+WwkTNq4brApSXJC81JxPwWCqnPYoMtXa18gNtNvkHDgxtVaIFcjYBK7mVXePdtKDKC2tQmJqu6dom/JltZVTGzjpZNKrtETCbdswvyZUEimDQkdZW9g6hVaryyrOloQ8bXJvOfC7TKHZeR/Lw0/gPjfog7TnBKcL1I7HIhBr0fbtJP2rlUUpTWE3sHrIRD/OVrjBvt4m4BmyxThussEIq0RvNI8NJRXzsMPcb1O7A5Q25GZMpoZi5Gms6MbiCItBRY3HU6s5B/5WV6hwLf9shmHCOI4Y6kwCrxi4o7ap9T5lnDKIY4pYMFQ5Vkn5QpNMcWexxHt5SQ7jQDzdjOk0anshcrt07IWSSlW80FxhK9fkOlBHRVlbPjLVPDsXy47HBwVPDBVPDERz1ATFp0vLzTns1J5rhTQ8v5p7Nm1IVWkS4FUukrXWAmZhFqqV2FRIEAZjKwxasxRsuChM3y4tQyZWBWMrDdhHVpY5qBW/te/ZbioaHC8aTLhW6K5J+4GDqol8hE9wwG1e5D+fG2rEUEnVodEQ0YzKEUE7PE56TyqVXjZSCLHFhGF4KYHIDTNklHpBhihdJjJteAkvYGwNLxhq8mSJsV1JoBuAF4w0W7n0U7VaTIKfKVNz9QjXh5JeNAqeGhj2nNiBiGeqYiMPFNozMJo6XmGaCkKaIIFAoSJXMnHsul1KAcRuo8i07fpVbogkiUy3diO6C4DLoJMlRuiqPqU5tzCaikihAxt5I/YtXlN7nWxaNC75iww2PfnIM5g3mN2ID4pqbtE7DVkM6EKRbUU2TCnBWdAoFSm3DVpHfNrOsKjJk71KjDCtMqrEqjZeUaT+lSPbEFFsVzkHHeMq3SkGOrKR+VSNKo3tZ6kdl1VwdWDZyhYdGLYrlTSIwl4PdGJEEyOmEC2iioorg4yJTcF+aHuwRoyRtOaNYsEYP1vqjnk0KnZVnAq5/z9+IMHOzEnwU5iaSe556dhSmIxbpeZWBYEBQ7PBKHMYLU3QtYLdxvCJueVTc0uuB0ysjE1rk1NHxTOlYS/1DzVasWnhSgE3cpkkPVNadhqRSRRGsZEZNjLD1U/+X5SKHDQZz5aF9CF1mju19I+dOdEryrmprlhoaMRmR6xFhAHLWkZsqc+nyDfoAr4mtYxqUmovxlR3sOaJLinrhUyttY2BxNyrpc4MLOzWDmMRkMm/0lRBlpw7uFXC+7ffz92DXyOE+Zo1e1x29EHaeaBrCncS7idQW9aLCVO2+N12n2tlu84AWmUYlZHFgiIW7HdbsuioU4Wl2G94ArWqqcOMJswJ0VOoEUYNsHpArsbYmKGjpYgFKiphQdKcyIVKtGoqQymDiSJ0tqnxupNSKXxs8DTpHBRFzEC1Tb3TMaiaWs3QGKy35Njknh5S6X7gTtxnpg/QWAorAYWLCufFB+zZuWiwahxjO2Bi5WXno4jvb1fSW3LqGh4fmq5djWjIxOfsoA7UIVBEjQuaoBcPXKnilP9olHQDaK8s6er6xHa4ALdLR+k9SinGNl+wcVFYsjvNnFvm0ygUL2YjGawurrxRMIgj0DcYhBTYqkUKttCKq2bEOOS4GBlo2xVnyDYUE2PxiJls27dSK1J6VfY3spaNXHGlkJeDD4pdtUi7jFJvyCuZVObtO8ut0pJiLTId2UjmugNtyRvLtpLG3HWQ9I81YJXn8YFlz4hbfevxlSe/saFVFDaxHV7E7q0xcvvStEqYsBIJkGeH2oHliaXySeRfBZXafykK4ymswyhNIMPFSOUNmbMMGukDZgpQyjOYOcrGUjcWM48o7bq2XtpCnntcE/FBU84zlIpdCkypiLWOGBXOGSpnmTnL3EsaL0tVn5kNOK9pougkyyCTp0JLH9eJ9UlgL4xTGYRpHhoYGbiaJxYuKLYRNizEQKEMY2OYpAiuCaKBi+m+Ghj57mRqYT/TskpaSfo/S3q+fSsBt1QDt4xaZCvzRGAn08moWfqGjqzGKjFbvpppmmC5U8lEa7sRxmxgPFYHChMogsLVhioVT868pLQ3rIQaTaqK3q3FCkYrRZOLQC9XhoAYIe9WkX3nGUWNVtLD97f2J9JvtzHcLKU/8NRF7pSBOkSmTvwAAWzyoxMmUZMlA+M8fWb0+kJQH7oCUJpIygq0Th1SvR1oA7sly7S0tbbpgUJ1Leokdb942ncuHmuitMNdo7pOG1G0iNt1Q9nssOhl9fDQfj8u6/YuK/og7TnFWQK1VfZswZxBy54tUpy5BEmpybpVBYZMlGlRXuki7nfMQt15nu2bHcq4hw8VmR5S2C1G+gpGFRgsNhZoNCYaVFRJ47Yo57a6oLBbGJ1hk1g5RtGfhRhw0eOVo+0H2qgKjWYeJWAMBGZ6Rq2k6rQJFZkqcGpDDDfTi7qOjn19wC6fJmPItfAkQyPN0ndqSRnuVJH/n7tF0IHH4jWuFal9lI7crTOerQy/uV+yywGbTNjM6BqaHzjD3dpwcw636jkGjVY5EXn5tGnWgyayX7cedVJhJ8bAMLTSkFqMY8WV/7fVR4k6ctU/xotVnvRqi+pVT+BKuMEmQ64VbQ9PcXIPiAHqF+knVoI3F8XuwygYGsXnbEgtqUdmzsuNyXOj2MhFHG4RT1CFHMNeeknk2vD4UHEljzw1EKuI0mu2a8s8idS3ssCTg4brwzlWe/bKAR+bTdhzUuk3NoHrg4qt8RznLBvTAVYNuFtbopNzuprX5DowsRl36oy7tWYvtdjSSnzPxB5Fd1Yl+01b6SnFBe04VEExTR0gpukYR6n1Vq7l/qy9mP/erU3XL9KoQFE4sgB+rimd4W6dM3cGHzSjrQYzjOgCisLhnObubIBOwver8ylZEVYaZzeNYacscFFjVSA3gcJ6hkXd9aK8W+fsNobaa67knpHxZNqnVKNmtzHsNBK43igCVzLPVlYzsJ55StEfNFIdfCWDa0VkMxMz5Dpo9hpNQONDJNOGJ4cZW7nYi0haXrHfaGkZpoWV3LCpJ6giBTJijqsVTIwwoxFF6cWgd+aE3R0azcQGbhQVG5nFxaKTD9yqMgKKrVAzyRqsDoxNBhTMHHxkmjG2lg3r2bIeQ7I/MYa5l/ZwHzvwjKzmqdEitV06mDvPs3GXHW5yvXwhu80GpRefs7tlYN/Js632GbW3TBvNnT0pANmpI5+YNuz7hoM451nzSap4wNxvd3rf3IwxPiNTIwZ+gqUgjzl5egZaVifJ3UQ1FU75pM11SlhtT0NQgZA6wIS4aoOhlUm6YfGra/+71RJrdHp20+1XH/PuCG21PyHtMzHVVMzZo2p2OuubhwWZrp8vLlMq9yLRB2nnhVbcf5+M2km6M7Wy/EIvthq4pcOInqACMZnLtnCqpkZTq7orFJgFqfbUOsem3py5Gndeap5azF6V9OvUUQr0OxNcPcaqAqVsWl7EySGIN1utFp0QjDKpoABqLVoRh6dSU3ys8LHBKIvG0rZ5r6OjwTHTM0r2AKkWLRB/NxehcuJ+vts4HDXjuMHEWNEwIS/r7UbSmNNYYrEijjdtNwHFvtOSoqxlzESzozvNSJkaVs+cNPMG0DGmqkPRn9jQXlcRW1fRo5XBxoKRGkh3g7gIspoQuWpGqV2R6VJXLYvUpvauFfIybb3Ypk7SOiR925V8ISrfQQofIHZ+YxO73A5L7r6WyQNhrYYmtaqyTqpZMQytpXAqtdMKZMpTWE+eOxrvuvZLQFdNl+UeayPD2jJIDcAdSaCvA+PUSFu8zxQ7zXJf1ZiOVwpGDpCXc0v/LPc3cXGpz2py7m+tq6QqtLXKSFW8QTHUWvy/ki9dK0wvvcJHQ9bk1DNDrhw6PRVb4bromDTZgWPoHMZ6gtc4b6QlV5NRRU2uAsNWe6kNIWhKZ5k7TeWlIflyhZsLwgJXXtJvInqPDIwnt5KybXt2OiSg2syF1dyyntyENP46GdQrMjRXC7iaiWFy5ZX4uilFoxS5ktZYQytazjpoKsuKXsom+xONBFC5UsyRe6ZOx2NNxOqGK5klYlIrKc1eYzBkFMbLNbeOTSvecvsNyfPPdno7EGucPBUn7PmSebCMs4FUwXZMkwQpM38XbSzWWcbNBKOkgCZG8YdzJC+4GMkaReUje3Vkz9XsqSn7eps9f5PGHzBvtjstcG3GWJ1jdEGjN9Eqw6qCTA9SMVTGYUTCSjDmYkVM/wZCMh133XN5GSrZ6xhlae1jjMpWAjKVAjm5xqu9m5fRBoAx5Ucg1dzHhiocEGK16sHW43mFPki7T7SNm4/+4TxSn0c1aAJ9zOfLxyVf1EZV1Krq9udiiaeRf2ONixWNn6OVYWCvdg3UbZSOBa23Wvulb1SBJesCLYCB3iRGj1IyG3RKqscAoloEiRnyoGuPv6bCqZoQnaRZUxWoQYJFImlGqpirOZWa0oS5FD7EIbkSi4AqtXw6aDwHvmagRmwxYpIooyYo6ihu9NuVvNC29IgrhaVIqSuZaSvuVJGduiZLQdzYLsTzMyfVpDMnCVyLwqbWK+2zz4fFXLFtSH3FX2eocrZsRqblJVz55DYfIzcGls0MNjJhqyS1I+kdkODpscIzNoEqSJssFxTbSThuFWxknlzJvN4Fmwxd5b4UO4okVGchVPbAKIjdQ4SU9g1dtaIiMrE5pZUUm2hiIloHjJWU4VBHhkb85sTrTCohMV5e0Cp0FZfCMHkGeUME5t4yaES83cZhmZbAQMZTvLVmpErMsKSgSScR098aLzoll4TmHoUKqV1SG/Bq8VJrnMYHjdaLOXjpNVWIGGWZzXJQEZtFfPLialONcx+xekDjHYWV3rBVSmVOvaEMEgCF9FRoheqlM8y8BKVtZab4kOnUrN5SBtVZv+SpErHtZOGj6gpTcrMI0CYp4K18+0yQNObAKK7nga1MrqdVkvLN0hhlRjM2UixTpOC+CippRFU30AapOh2awNAaysRuVl5R++RvZwIbVookfDDMvASMVhk2gyHTEmxuZB4X4W6tqRqZbAyMZpyqsiUwFXuVuSrZV44r1WNoDDE9boxWFC6n8XMO1G0yPeBKM6RIxsMq+crFGKnw4CH3USZYPjClZKYOmLNL4w+o/ZTGHRCjyDBiDHidY3RNNAGjC4yyNAwkW7E2SEuV7cF3QZGPDSFK9iDGgI+uY+uWAzWljEhVVrIipnu261Scpe/xzF+u/G8DQzk2OR4XauIlSHXC+VtwPCpxZx+kXQROzaodj8NfynVf0pjeXgEnKrPYVqc17GOo1QyFxsUxLlZ4XzJv7hJjjVI54+JxMj1mqLewMUdHnSh76ctZhl1CqAnRY7To3Qq9SaYGGCzDuNEeCA0lJQc4VVGFA1Q0GJWxoR6jiEMsVh5pynHANpU/IMQGpSyZGmJURsEYHS1RBWo8AWlDFaIjU0M24nXGcYRSir1aNDEH3lHFhkiUYoLCMsmEYdlvNNMGfvOgZBpLnso3eHxouJZLUDB3ml2n+PWdhjtR1HtfML7G9UK800KEgwaeLRv2fUUg8kQ2Es2KSSLhsGiIDRKsGQUbxvKSwYANK9vKjQRoew3sVI7caD5nI/LkoOFKXkOEO3VBPc/YqQJDq7heKD5nMmNSVMzrjGfKIT7k3Jy3ARo8UTQMjMNHTR00IcpjvTDCSm0l8TlIJZoipopNqSZsgkpO8VKhOLCOgYUXOctAZ+w5CRRKbynrjGLQkGWOG4XDYZk7CUyaYHCNQZsgxq06Mk5dd3Ij281zT4yKonYU2mKSdsgoljRtBqssActOnTQ26etkNeQqSgefKFWmERG9T50i01IkMDISkEiFoAQXu43imXJIFQzjzFF5g48q9S0VTVi2u8nmtGFgPQHFrLHsOWmt5aNitzGMkvFspgIeRek1d2oJ5KyGmQ/MnGaUug/MvGK30TSRrjtE4xWlMlRes9dY6sTuDQyMk14rRmT/jWXmNaN0PV84rJhkDbnx7NW5VEAGxVYGxUBxJQv8jvGcoXU0wWDqjNJotgrNRjAMrbQz28ocmQ4UOkMrw24tRTpay3ArJanj61lbOSuazqmDHWN43FnGWcO1opIAW2V8ZCatzWbekumCK7mM5fW8wqicZ8qc23VkXgVCNFzNNVuZ+NmNbGTDKmy07KpnebaZAEM2opEOFFoz0QW5nTBvttnO4Bo3mMRCrFm0JkMz9446OmZqzqiJqfOG40DvM2OXOs67wEmeqRIMhVBL7+IovZBFZ6uF6UoB1NHnrwRiMUqKMYRGgqPgZLIcAzHt67BPmeqCr4W2eDk7crhI7CQsb7s9nvZzOa++48DzGX2Q9oA4llGDU7Jqh3E8rd1tNrbWALoL1ORYpBxeRYdWByKEVhk+ymwqEjsNmdY5A70lAVe0sq7yySutxkXpNKB1LhVItK7u8iATc1ppoB2IRBUJ0VGHOY2foZVBmw1S8xlUas0TaGeX8oDLVIZROUYV6GjpuhcgDzqFIlMDdDRkre4NMWF1RGaxJKpIEXMGSRdmELZq6qSSc4d9rLJs5tI+amSEaZkHxV4Dd+MBpSq5Gq5wNWl5Ch3ZdxoHNMlifaDE5HWUGnw7wHkJCJrE3tSJy8y07rY1tu1D1KBd69AOG9ZzJau5UlS4qJl7i9HSyF4pTaZhlDWMhg1ExaAWjV2uJQgrUvBTaI+PEauiBDLphT62oTtXFyWiEQF+JFeeOmpqr6S/ZyrAiEaRac8ka2hi8oaKYqcwbyzjWuwRBsYzMqJ3dFEJq1RZrPGd1UTr+WZU8gpLRqDt/dq24BoY6amaG2GPxF0/dkUQyx0gTLIzsMn2w2rx4qqDsDyl0hS6bT0lNi51YtR2G4MiF8PmKGxdqxOsItypLKXXDJ14mFVRqkCb5KtXe6kozVOBggSIirmXtK2NQDtmCDtWe91V+7Xp9SpqcDAPhjJIAYTVcj1Vcs5vgmGeGDofFCODVK5aT2aSR1iQlC7AVtJYXsk8G0VDpj2+kepToxYB88jCxHiGxmF1pAmaoVFMrKaO0nYqsvABG1jPBJWapsu+Kq+YOYPRgaF1DIxnYhVDY9kPkqbebUxng2J0oNCBIrW7CknfmWthpMdd2jZ1w1AZDY46TX5MqljWSlHoCU7PUan4KaRJB8nvDUjPo5A89qJ0uFDt0r57dmqVgwor9kcxpiBLyWftv7BgtcJSUBRC0z172+AsBCdHkYI+8N22W8g2DTLF0amoYFGtv1jm5CDtcIC2+q9Lfw9dhuNh4ryP4OGf0XODPkh7ECQj0OcOq2nS7kuvVr+gSmmcF51YUFk3k7JmyEBvYJHiAhsLdNTS8kk1+FhRh2lXjTTQG0nMKi/dtgAg4pMHj8OlYwrpbxrVsW5W5eh0iwUVkmeahDFS6GCwekSW0qxyhiK8bX2IbJRtZDHDpKY1dUxLKUeja/JQkKlF5WJAgrS9OrBd1zS6YhLGbFhhKzIdKYPYaOxWkUpVjMKI61khVhNW7CT2neiltNKMVM7YinZsaOWFWwfwWpZxqQx/nl7EmRGj3VbgHRG91MzozjB0ZCLDzDEcNjSNEZsKLQFensr/i9xhM4+1Yn9hVWRoNCNLYnU81gRiMsnStF0UAps2kGtPEzVN0pdZBbkKbGSNBIZKAoXKi/4q94FM++T1JQHYdm2Yes2gyZjUNpnySgAohqmKqcuwZWBgHXUyex2Y2N2tLmqaxlB7Iz5VSJ9Tq+Q8bTIn1Sp2bJ810r4pS/qlTCXj1yABWp7MXps2IEqaqSa0L/XIwCTfM2C7Nsk0lCTalztbK0nBbTfSrL2t+hUdoEoBoFTvKcTwtTBqoVmUGhdcgGDSucakJwuLCkrSPmuvCNow84oyyD0rLaRiN1ZE8dKrUzpzaIL4/WmPQroBVF7LpExFtrLAZio4aNOxoZJgy6rIVibjNzKBkXVYEzEEjIoMTGQzp2P0QILMgMJqKSLwmWffLapyD5xJ3RWE+RuYwMgE6qCZOzGeNokl2rAuPU9kcmGVYu4i02RzY5XqKkczZcjjKD3LVl/ESkHGiMJuYdUAE3RXJRlYFZKrqPHR4UJM0z3fBWgaKbTQ2hKCO2IcHpVMfNv/bhmudvvrmKsFcxa64EieyT79G1YyLN1nkjiWj1NxQhuwtan/e2NNoLa0/8uAyEKGcZ7bfBTQB2kXjVOwaadpCbWY7a3OluS/l5eUmZjXBRlQhwNCdAzNVYb6Ctf9Y2SpR2IdAxU1U73NzN+ldDvE4BlkVxiYq9yIL6SIORYjQn4a9vUONXOaOKdimsT+BkNBroYMzAQdTaqHkoeoU45SHSQrDkeuhhh9BRszCoaooPFKvNfa7gUKg40ZOUVXOdqmSz2eUs2IBAZxTIaVNjshUiIvgDuVY99XTPWUx+INbgwKNjJhY5qguF0qbpeRu3XDC9UNHptYnhjAE4W06KmXWj09OcyZZMJWXM9T9WBQzBOLYZRYfYQIu42I1WOUQGnLOrZySU+NTE6mM/Yam4T8woxpHckyzyhzbGaep0YZw6Q/avVTzokliEKKCa7lgceLhkHWEIL8be7FDmFgIk8UDZO8IQTFbp1RBc2e02xa0RFdG0kbr1mdcbvO2G00kVzYJSKbo6pzwn+mHLFfGnYaeZmMrcOqwMg4XLDsNYZ5qgjdaK0nkN6XAHNnCPMBtgzMvWHmLU3QXMkkAJjYkNpspS4NQeORSsZWYD5KQnqAoBQ2nee1QlF5ukAqosiUptCSdt60wsQcNPCpOdyca64VuVSDthMBBRXw6Zm0UQoxMrCi7ypMm1KVwpJOlK4kvZppCci773IjAXyeJgxAKsZI22g00/R9r4N8m62Sc8l07ManDrDdSNGCVZHrhWPTCmszcxmlM2w3GU3yVXvRaM5mXjMoGmJUzOuM/cbSRE1uIp87mDMwnsx4GWuf+l8iKdbPGonlRmsaWwcNzrKV1Yxtw9A4NMKQ7TnNp0rLjjO8FBhaR2E9TxQNmbbcwXCrhJ1Gs1nnvGCwaEi/kSlc0OxUnv1GdHtN6u1ZerEK2Qgb5FiUEu1m6aH2cl0m4QpjtUkWcyYmT0yp+MM1MdBEh0YxjiP2fUXpA2WUidpymlMpg1YW9GqKEEhMWHou3yMSWARbrARrC/Ys6cG64Cmiun21PGD7u17sLq7aLx2/72X4Q39LgeGjIt76DEUfpF00zpTuPDnVeVxXguX0Z/uvTV0HvG+rNwcM4ohcWaxKwVNsZ+4ljZ/RuH1yu4XVQwZqwiAUFEq8z3wMmKiZkaMoCQSaMKVRGqukgjGPAyxZ1+4JpJLTUafG2tJjdKivSAFAHGCj7apRPQ4fK1K77eTt1rJ4Yhvile8KG8QO13ZpiCr1EAoxMveSNM1DwVaWMV5yUXdBtGFzH9AobgwsNwq4komRpgsq9fiUx+eVXDypNjNxMq+DuOATE1ujI1cycZ+PWLTSne8TiNYrN5JCrLxmM7MpBampnaZJaSlILFeykyhMwHtDU8OsySR4iYqhTYJu41ILqeT+7kXInwMD6xhaR+UMAZWsGIR9ClFhrRdxe2IwqiAv1aExbPhUbZZYEpeKJ+YOdjJ5ZLQpRaVSRalXTL3u2DqtRHweSA3iU0BQe0WdWMeBERbHqrDog+o086SDK5Kpa64DuV6043LJmV8law6rSD1rpf1U6eXFl2lh3vIImVFUZUwGvZoNLxYnQ7PgRUof2WsaprEmbyxjm3E1F4PgEKW6dx4cZayxybl/YAyDlNJvPbeUgkHUKUUrjGCbNq6CBIRtxwWtILcLvqQMkoYtgwSfrcFqkYo6Gm8ovWG/yZg7jVbC+k3yhkHRYG1gNsspG/FliygG2rNV1Awyh9aBeZ3RhGSum7R0W1ktAVM07DUWFyQlPDAWrRxWC/sakGuwW8s9tWPlfhhaR2ECoxCZGrH+qHzEecXAGClSoA1gU+/REDsLlhBb8+SYGstLki8EkRDUIdAEj8VigmGgcnIt3/zSe8rgKFUlPnMxxypDEyJNFEMMHxupfGc1IFPojj48HPQcDYKWcW/2at3666UxbZCXllGa1YBr3f6PMmSr+7t8BhV9uvP+0AdpDwVLotAzatbWfvGX/NOsGWB0wcBeYaxvoDAM9BZDNshDAUoacUdgX02ZqwOaUGF0xqR4irF5jCEbDMKITBn0soBVKfKY49UApxrKsC1aBx1AX8WSMQhDBioHBT4GZoh9xn5zE4UmtxOGcYNBGJCTSfqSRpyF4gwfHUO9RR5H5DFZbaiGmoqSvfQQz5hwlTwUXXP2KnqmdS0PZCUP86HKmRjLjaFhaGSmXjbiUfZs2aBQXMktv2MjcjWTzgRV0Ow0htuVZreWqrPPGntu5A2TrKH0hu06Zx4UOzVMMsVmFnhiOMfoQKYG3K4z7lSG3UZjtSXTkUleMcqECXmisUyd+GMpNWTuLAPrKZ20zbmeuyTGDuzMB4Sp4lPzAduNYe4U1wvPZuYojKf2hr0q59kq41YpL/3BQFFoT5E5aicpy32n+OQs4IJmYi0xKrSViszWu223jvhoMWrApGjSDSeMz51KghSjLY95zWOFS55wUj07bWQ7jw9tSitLkBSi4k6tU3cB2WSR9FdbWqpAQYompk5zqxKNVq7hBQPPyEqV4sxLleR+8gxrG7NvJWd/qwz7SYd4cy7Vg5NMdFyZkkpZpWDfOT5Rz9hQA67kOU8OpXjBpSDhIFbc1B/loLnJpn4BL559DrmWoHUnTpmqfUq1R8GEcdxk7Ib4mCWdpEwMADZMwdBohlYxTI3LQ4CqlkIHSQcLUze28sqtvJYUaPIHVIrUgUK0XT5Ib9q9xojvWhDN40B7hrkEaMErbs1G3Kkydpxh03qu5p6rW1NsHgkO7hyMeLYq2KkNhYlczxuuj0uM8dSNYba7xY6zyfxVc6PQXM1rtoq6a5X129OM3XmgCpbHC8NjhWUzc+Q6MDKSqrtTOcrg2W8KNnLpptFWsWoNlQuUQTp0AKmpu1Sk2mRUW4ZA5R1ldFSqJosZY5UzspaRlabyZePY1jvMuMuATfJ4jUIZyuA5iBUzPaVhLtYYsTlSBbn6XD2aqVh5/nJSIHd8cHYsVorMlve9/F641/aW/n440LwkocxFNFh/VAjCPkh7znH/FZ/32m7bfcAoK5oNMnI1TMJ7S1SROiZZvnLM9D5lPEg6sg0yVTBkizxVejqCNEbvRLoiWjFYMjUgMxNCrFFq4Z/WGSvGmD5ztIaOWtnUnF117JdPyjZPjY9OjCNj3mnQpMi9oWbGPOzK+lo6IWRYdOpc4KLnQB9QI7YjV+M16XdppTpMGrcLI7Rfe5rgGRnL0CpGRhqwaxUpg7Qa2mskxTKxion1jFJKp/TSVH3uFAdODGJ9RHzCjGNgglQgKqkMzY1hbAIuGDSxYz6qloGqpRn3OHh8UDRRd9YVMSoOaklp3a0N+05YwPYOiihKZ5k5w74z7DfSFkc8t0Sk75OdRR3ERmRqha1qGnG/914lvQhMnWe/tuxnhlmdoVWkCtJZoPaRmXPsNyYZmkrwVwZxpN+rxWahMJZWHRdjxCGmtPOUksw1BJt0SFF1+qu9RrPvNHu1uLB3/VJVmwoVPzExFW61TSz1VhV/NRfgwAUGKWXaasc0IlrXKHbMbWZxhKuuMrTDzocuLD315/VtqXq0j5EHMTSdpgpBF0uMLvDR4xGGxxOZqZJG1aioyUIylw6GLL03A8LeOi+veoXoE0WzJuxg28u18hLMeiNaHuk3KvfmrpOAVKcaDIXcK94rqloqQrcbqTgN7fmnzhoxFajs1IbtRrMZI1tWYa3D2sX5i+ULBDS5NgyMZZQ3wkyqgE7ncmsm56GV6VhoKYxRuBA4YIapoAk5DFJAHCRQFb87R7VUfShG0m1BhxjsTmNNqefUVGzGK+LGr5LfXSokCjiaWJFr32lqmxhoVENDtZZFOyy0PxygHQ7IDq+3wOE0Y4szBmvqLIHZMdtY/vWSBGg9Hgx9kHaROMbnrPvzA1h0rK6/CNC0ztBagiETbed9BtLwfKprHA2VmjP3dwlEcj0kUyOKOGQYh113gbkqU2px9csuQv6CXI8TiyBVTI6aRhmaZG7kWZSeZ3ooaVc9QMWlAE05GlXRUKaCAos0hbKYaHAqWYKEObU7wJoCywBF680tuhWHZ6b28bGRcUgvwM6pP6QXYBM4cKITyY1mYMXWAST9eODEdHOvkTM3mtQIO6BSRV0ZdEr/SSujtj1UW8nYVgweOAk4BlqCntxIwYVJL5i5V6ndj6IMGsMiXRaiokIzTSahdythWLQmCdJV13/ywBkOnOKgcUTEiqP2msYbSadGCdLmwXHg5BwPmpxh1DReLxpPe8/USTC4n3Rzc29SY+8gbGUTOTCKA6s7M9i5Cxx4RxM9Yyetx0RPJGnN/UYCp9pHxlZjVBL8R0XwIlLfaTS7Dew3MqbDpcy/aKTEzmK/gd0mMo6pWT2iCWwX9xF2qobcGHwwTKyi0MKUWSV+W3WYMovbeF0zrl7E0Ehg0Kb/MzXA6AEuVBywTabFK2vGNlU4EBZGX0kVhFKH7KJnrue4lHIb+AE2aKxXNMlTzwUoXeh89DKtyNK1Cek8pw3MvVhHqEynohSpBFUhsu+MdKxwwg6G5A9XNRbVGEpn2WkMe40EOj4VSoSgUA5cY9hvhOXdqSRYblPRSkkgJ8G3FNWUTjHQhpENbPnWw0voMB8it9wcrYdYpRkbuQqiMZNJWqlm1NS4eotMDzrDZhcidXDMYsNcz2T/UTOKQzKsMC8IszbTM+ZqHx8rxmpDqjiXHkmLZ0H7XJGuID4FaV65Lt3Z2WYcCYLWB2jrWbH1YvzDwd7iD6cMuO7LDWD99i9jgHbeCdjLl9C9GPRB2kXgFF+01QDNnPC3k9ZPD01tuwbrRlmMKrqKzCxKiydHTa3nHITbVG6X2h+glGVgNxnxFIMg6UWDpsFR6jk73KQM+3hfkpkJAz1hwg3p0ckIrTS1LqnjnCrsUasZM5VTqo3O9DaqKK779jFh7FRBQ9Npyyo1pYmlsBNYLAUm6dACQQK4WFLFKbU7AMDpGuEwQnJjl4ICSD3wYoZJY9g2aA9R2J6ZczQxsGEzhlZqT6deUwUR3d8sFXdKMcjdyCxZ0nzNnGXurKQya81OI8zT0FnpWFDlDJwR4XuyXdipPXMnHlyFHjKyUk03dWIwul2JRkkpxcgaCk1nr2GUGLtKwAS352KzMbCGnVwTyThwUnV5t9bcKuHAi//dXqO5WQ7YbzKmXgT/jRd2c9oEbpWa394fda1/9p00i1ZKMXWBW6XB6kHHeuxW0iQ+ENhtHGA7e47Sw926ZpcDal2SVQbnM6aNpjBiTXK7dEyDpKKvhCEh2hQ8tC91uDmT3oshRgKWwij2Gk0VZILxTGW4XcKd0jHzDh9yciPVmFmMVFGlDgSRm+oOhMDW/ApWTxjZRbeFXCksBQfuFvv+kzSDkkm4yiAMUShqVZPFgs3Bi/CxZhruyH0cPaXbI0YnrvSmpKaQIp3U5aNtbxaI7OsCHzxNHFCFVOEcI7PQdGyzcgU+REI0UpUc4aDx1EGuvU4GszEq6mBTYYqwwU2ypph5Je23Dsb41Hj+03PNvpPWT2VQ7DcZd3bGUl3cWD4xl9T4Tu0Z2hS0TYdkJlA7zW4jTPJO7XExADkuZlg1RBOZeTlerRSf0L/FXv0Yu/U16pCTJXav9EGMlQncCb/Jnt6kKj+LggylFGVix2Z6n1nYBsCqAfAkRSyIMSMQpbBJSWFTjJ7CTDDBoLzqjI2t0ozCRGYwUSrJ57GhokmFRg0+OjGZjaGz/1muyJRrfFhbBocDsuNTmcd8fpbU5/0sv7zq2sDsUQllPnNxaYK0pmn4W3/rb/GzP/uz/NZv/RZbW1u86lWv4vu///t56qmnTlz37W9/O3/v7/09bt68ycte9jL+0T/6R7ziFa/o/l6WJd/1Xd/Fv/23/5aqqnj1q1/NP/kn/4Qnnnjiok9rCeeX5lwxOlxqvL7cJioifTNBNF0hiWddmOOj6I1kZjvsKjEBmtR/rkZMaRs3xYcKYwbJZiNguqBycRyOBkKFUyVosGSJ0ZIqqqwrM1c4VaUUaKSJM/FkiwGldUqdBlyUpoxiDeIk+LIDaY8SA7Wu0Wh8tCQrSfI4QLzbcplFh4hynhBFI1MHeWBZJc2TQWwV9pqFLmnaCGukE9sDsN8YmiBGqXuNWAy4ID5eAUnj7dQZhRZWax4UTXq2NyEyc4o7tVRAGhWZB83UC2NSBfGCqr0mN7LPoVmIqfcbmLrI1HsJcn1gvzGEqMmNMHp7jbwUTSrbr3zkbm2YGwkGZ47UYseglAQytypDkZiPmRN9R6YlRTl1kduV6oK0uRNWQqNxITBz0mVCjFkDZWxwWroY1tGlAoLI3Csxmg01papSsUnO3GtUoyGqJESHfeepvBMtUrL12HeaeSClQ4W5bFovrBipPRw4scyYpRShb02FceJe3wwJUaoway/ps5wRA7NJiI5puEPQjkpPyBh0RSlWCXvmYyMp++iWKvQCPtbUaib2Nyp0KTYpevE4VVGm8fS+6CQDLt33AGXwoqup6QKOKsQUqMZkeisuhU0ij2ZOuiy04zZ18j10IcNBslJJ6VuEgTxwmmdnQyIw9aLpcxFMusfmQbFdFZhU+TxL1h4mfSfmLnLQSDAolc+Lv2cMqJmz62fcLi15+l7NvfTu1cmGw4UZu/pu6j5iaHRDrWbUcUoTpknAH6j0XMYxqq5YKCLV3hFPzZxSzzFBY3zRCfFzMggjGiVB8FyVyW9xtW/mehbtuADt6N9XcUIA9ADB1llxGVmzdThvDdmjoklTMV6OU93d3eXrv/7r+fZv/3Ze9rKXsb29zV/9q38V7z2/9Eu/dOx673znO/mWb/kWfuRHfoRXvvKVvO1tb+Nd73oXH/7wh3n88ccB+Et/6S/xMz/zM/zoj/4oW1tbvOlNb0JrzX/7b//t1Me3t7fH1tYWdA122gBpiQVby4DdK8V5bxZt2cxwXZP1lkXTKiMzA4wqGJqrGDIcFb/ri1+ysq3ONiM1Um8rMaOKqe+cSy+dkPa0WHZRbRnEX40KF2tqv989DDMzEk2cysVuI1q8cikl2iQvNpe2baXHpcox5J3GpPNki25J57bU3kTppI0byoOfnEGUNKiKqms0HImY1MR4Qw3ItCFTitzopPtKVWWxtWNQWCM+ZoVZpEvbdFSA5GOUdE4ijKF1YZDU0kKIngpOuzuhbZHoI1Q+pI4FrfYvMYFLLadcXLS0F08vTaalubxa6rcoy7fpUpVSr9IOqF3KRQlixK5AlpVgVJrFx5TWbGLkwNfdSy4nk3rbZBjqCczUHKdcdx3pEk6tb1WrRwypBtego6GIRaqFbLVEadwxWKUZGiuVfen4Y2wF5YvHlPxdoXVrByrH7ZPOqQyuC3SWzabbu6pUZWqbVnZVx+1xaBSoVjWpu6CNGHA0cj8miwZhsKULh0V6Pcq5e+o4pzU0NSpLsoOcQRytpuUSo9yOzygOO11WKyWP6doqJanH1v7D6MV5ufYmU9IEPTPSo7PzPUv3ZCtJ16kCN9OLJ5BP93jlF/d720lj9T6DKo33fur40agGl3r1dnIG5XHUnY7PhXk6RmlZLmPlOrd/gMxMyFRBoTcwsfV6lH6YLrW1k3sgZ8J18jhgHEfdfTenotQlM3b41C/PKdWMKdsc+Fv4WOFCjQ8VISyYtfY6raY41xUBrAm8zhCMPffBVDq2lHo+fDTg2d3dZXNz80KP4p3vfCd//XXfzZt/x58/1+1++OA3+f8W7+fDH/7wuW73suHSMGlbW1u85z3vWfnsH//jf8wrXvEKPvaxj/GSl7xk7Xo/9EM/xLd/+7fzute9DoAf+ZEf4Wd+5mf4F//iX/DX//pfZ3d3l3/+z/85//pf/2u+6qu+CoB3vOMd/K7f9bt4//vfz5d/+ZefzwncV4DGuf59Ge0Dx8eGyu2KTk0NGOqJvDRScUAgUDOTYMuXeJzo2VROoTc6M9l2WaeqxQMzzMTXjCisWZo1L/f3jMROE+Jxye7jgNA2IDcbyfTWiI0BjjpMhZmLreltLsGkHhGjw8eayu0SieRmg1yPGagJxEEXcJaq7NJPCkOhxozigBwJSHyUF1vpPbvM8HjymPOYHVGgO++rMkgbpyoEwlKadGgVeTJKLT3sVJ4mRDItPQgLLQGSTqr8ndpRBUnnaaWwSndBSIxLVgHK41rH8yjhjY2WQerl18TAviupVU0kMo4jhjpjoIVZ8zFS+ci2n+GUY4MRY2MZWE2mFFHLC/uZsEOppphoecLfkOAo9UGsgueW+TRV2EcpzdX4FKM4xEaDwzNXJXfVJ6nDHI1iYh7HRklTN6plSCQFblTOhnoMy1CYOOVwiA5xjrTiyhlyLdyQYBrRGHofOQgVTTI2njBkaISpybTuApM7rqZpzZqVIVOasbEEJCDdDlNKXdJQ4pXDxpwiDsmi9KJFQx3nuDCj8vtdUGfNEIW0NjMku340AYvStSzrSgmULUQ16phjkAlFHWf4UKXuEWMKNZHJSJroVGpOzYwqit9gpkeYYChiDlHTEKhUTaUqaj3HxoLHwjWUtph0/9YhSBUjM3TUjNWAQhcyjkFY3rkL7NR1SvcaHh9mFEZMgj2inbxTOuoUkG3mUlAzSNFcGWDWBO7UFXUKyie6INOakbFYryij5hl9hzocLLwQ08TOxoyIowq1aMMIolFVtvMriyrggzyrnJb+wZkqMKogiwUZA7SyXbBXhV2cKRnoLWx8kpzUjUTJ5MBRyXOHRnRoxzBkp8f96cweDsvVpzg/k3BpgrR12N3dRSnFlStX1v69rms++MEP8r3f+73dZ1prXvWqV/GLv/iLAHzwgx+kaRpe9apXdct8wRd8AS95yUv4xV/8xWODtKqqqKqq+31vb++MR3+agOreLaDOitYlO0aP1QUDJvzWr96hbRI8oMRSkMecPBYdW+AVBHIaRWI/arK4j0ZjoqEgX+wDCFjmSpZvqJizh0uVlQYpWMjjkGEcI+2YU5EAFQfs42JFxGO4i1UFmoxMDQBoq0FbZk6rxThJsNfQxBkxBnJ9QK5GDOKEUdzrZtRTNcVR0agKhWYQJ+yEmrHJGBhhI3wU36x93yDWHoo6LxhnKonXhe2pk6ltjHCgoTFQakWezF59VAQvtpQeqFXrgh9FLO5hvwm4EDsmQylhKZoQqYJnFhuaxDxFtXjImihOcCOVS6/LJaYKoNJlFxhmWiV/q0jlgzT0tnMqs0jvli4y94Gb9QGVqjHRMtOOgTYiqveBg9DwCfUJ5uyiMFyLjkEr6E6Bwx19Cxfleg+pyCg6zzuHo1Zz6ii9Y0fUZORkMUejUjDqqBBmJaPgemgY6YwNazu20aW+qDFCaaaJAVUMjFpZRhgfyRrK/RnxAZoYmTufLGcioKlw7LMv6XAcO3qXUk2p4+zQ/esTm9bqI31KzcskpQ4HnW/hwOynKuoRGoOnoQypT2So0MpS6Am5mrDBHjYV1lSJ0fM0KDRFHHE1OAoyMqVxSPBeUVOrioyMfUoG2pIb4eOqEKhDYBYaNIqBtswHuQRZqfK4TvdfjFLhqgq5v6WZe/Jrcwqb2MpKgVNq0Ws0td0KLpJueUq1T4lYr5Q+MPUNz3JApaQAKAN0lO9epUpqNWca7nb6sLaxePvMapHpERlDRhRkBExsgAO8khrvXW7ShBmBwEBvMmbOtRCk0hvFTM05UPvscYstnpTxXWpyfnh/94V7rP9w04+XN0Dr0533h0sbpJVlyfd8z/fwjd/4jcfSsbdv38Z7f0Rb9sQTT/Drv/7rANy8eZM8z48Eek888QQ3b948dv9vfetb+bt/9++e7mDvUcUJ905zngdaQWxIgUwVD8i4zhZP4pF0RBkPMKrCUZDHgiE5GybHpLdeHQLzKIadO3qHSMAoSxFyhspyJcu7XnpzN5FZfKj5tBG2rIkzlBphkG4CG3FD/NaS2WcTPUM1Zqb2KTlgGu5Qx3kqeHicIo6YxI0uZVKripqaWs2lIi82aDQDJT1I8zgUsTCeXX2HsCT0lU4IWWoc33BHb7MXcoa+4IoZUiTH+Gs67wK2O3XFTqMZGcNTY8vEKl4yjonhgduV6MTuOGkdNc4Umxm8dCz9HKXdlHiofWoamHnRHW3mhq1CeouKPi5yc96w6yv21T5zPSWjoIgDJil9E4jsqQP2VMkOmlEYs6lGPDkoGBhhBGcp6NquHPPoyBAftCeGlkH6dpdO9G835zWz0AhrqDLGFFitRejuG/bcTCwLVI1CM2SLoAJ76i57aTwHcYyNls1wrQu65+xxQINWsk7OkEnYArZwyjFVO0xjg1KaEVsUcUARCwZxiFeeRtU8q29jsbygucFGljG2ms2h6gKwO5Vnr3E0tWdsMunDmiteOJLWQhIIi3btYwcVs6S7vGGHbFnLyEqg6iPcLR37rmEeAzO11wWbE64vJjBBUpfteDTJp68N0rTKsFraq2VqhEJ3QZxHqpGBLkDTSqqg97mD1os2QDKmk2RNo6lULVquqMnS47kgJ48WR2CHGdprrNeMVZFaiGmMSvdwDHxsNiNXhieHBWOrGGewlRvxFHNwcy73ZG4ULxobruaRl4yko0ATFZ+ca3bqyG4dKVMF80am+NzNhU5zu1bs1JFPzxp2w5ypmmMxjMNVcpVhUV2QKd9FkVlEAk7Lc6KOC+8yqwpyPeE6L2IUxoyUpMV9DOyofSrmXXWtRlPoCZs8ThFlYtdOcKqkdy3UhGncTterZLkZ+snP0EWq80zP3j4wu/R461vfyo//+I/z67/+6wyHQ37f7/t9/MAP/ACf//mf3y1zOfTrq3hoQdqP/diP8YY3vKH7/d//+3/PH/yDfxCQIoI//af/NDFG/uk//acP5fi+93u/l6effrr7fW9vjxe/+MXd78c2VV+DB7XaOAkrQlgFPjoI0Ki5zD7VrBPd+iAtl0QjU4CGGUOmftzpZCpV0SgJiqZsS5CGxWvHII6o6oloilKFVqVq5nrGfrglqY5Q0eg5TleSbtSOPOYLNk079rlDw5wqHFC6HSA1L86gVAMqPesYjCYm3VuoqPweIb18tZLCBKuLbiza81uX2lBKk+tJehmM2IlXsE6sSnwqlmio8NphomXoxhzsXmNiLSMr1WxNiOzWjoNQM6fCYhipgg2T8czAYLXGBTF9nTrPp/wO89TqamO+RUFOoWx6GQbu6G1mZp953KUMe52/XaEn3XiVYRcfGwwZ+3rCPluU8+tk2O4azFVJqWaU+oAsFozcBrv7V8kS89ZEzzw6bumblPqAQNMxl6a1S9GOedyVl2aQIKN9sbXjp1VGpocYkqVLFFak8QtWqTR7WFWglBE9UWyo/EF3j871tgTOKhPRPSGlwDxWDXDKMak3GNYFg7kcW0Ngmz1KNaPRFRv+KpPZmM2yYLuyGCVFATPvmXrHJ9WnqZKtw4G/wdiJwXKhDC4GprFiqqSy8CDcwoVKxloPRTuW7hGQ4N/HBkfF3G/jg+iaYvQpFW9TalQn9rchBNcFaQpNo6edflRhjjwPtMowyqIwwiqn5UxKcYfoCTSLlmnKYLAM2cLETPpU0iS2qRTXfUbsz57ozru9D6ro2VWSFcjrgv1mk43McDX5mfgAt0vPbtMwjRVzVTGsCsaq4G5VdJ6D0ybd4/EuU73LnF0ArBYGPSPp81SQ76+SwCwQCKGhSu3qfBCmy+sKHxt2TUGpp8wYd+tP1Q5VPKAKB8ybuwAYZWnsjEyPuu9Le08GGkIMXQAo9htJo7pkYnu6gE3ugsWHl8GL7PkZlJ33UZ915N/3vvfxxje+kS/7si/DOcff+Bt/g6/+6q/mV3/1VxmP5X5785vfzM/8zM/wrne9q9Ovv+Y1rzmTfv288dCCtK/92q/lla98Zff7C1/4QmARoH30ox/lP/2n/3SiqPHGjRsYY3jmmWdWPn/mmWd48sknAXjyySep65qdnZ0VNm15mXUoioKiKI79e4eVB+5pGLT7x+G2UO3v7QNHRS2VZqkist1/V3aOtFLSOsPqHG8arBqwr4ddSrGOM0JscLFavGiUxumKTI2YqknHAFRamIMmzpi7OzR+jg81Rud4U9HoGc5U3QsISKmgPQnmwpzGTbvjCgSszqn0wUJcHRtCdITY0Ph5J/ZdvPQW49GV2BM6cXcrldbaYvUAqwuMLjjQt7qxdKHq9gFgtMzqZ+pJcj9k6IYEIh7Hrr5NrWc0cZbMgieMwhZbB1exiAFwpSpKNeMuH6fx0mP0TvKisxSYxKqUYZc6iB6q8WU31m1jajm2uktdW7PHXG8z1dvdC7yOciwy9lUXSG3r68nEWOO0XM8DfwsX5t02tU7BQTcOC1G1D6VUNNJWDVvRNeq8G/N2vH1oj93SmLl49aV0VoyhC4IASqSC9/B9KcxUjrcN+ylYMmRdkDQLd9J1atg3VxnoTQZM2CyvYKKlUQ2VKin1lF3/yS7InJo7KdU4EtZVQakPcLGiijJJaPw8pXFlPIwuyPRwcV+l4Kty+zI+UcTubfGO8dPufNrvpQ91t36jZouWbbTV14tXVluV3fkcLqUC2+21Y9je+22RUPu9ingRwyfm2+iCqdleud+ETZeqbYBcDTkIL2ZcjhnNhykVHdjVu8z0fhe0W10wVFvcLW+QxQyN6rRy2+pTlGGPJswJsekmT4WeoFSrz/OEluFP3+cmzLt7LRIk+NUyZnMt7GQ7To1PDGWocOkZANCEeXet2meBUqYLxEJ03USjveePBmervmgn4swB2vMzmLoIJGnuuUKKuOIRKdJx7+6f+7mfW/n9R3/0R3n88cf54Ac/yB/6Q3/oudOvnxEPLUjb2NhgY2Nj5bM2QPuN3/gN/vN//s9cv379xG3kec7LX/5y3vve9/J1X/d1AIQQeO9738ub3vQmAF7+8peTZRnvfe97ee1rXwvAhz/8YT72sY/xFV/xFed4Rg8eoK30lFt+SKcvu0IvMRuLdWJcV/1ZHtpuu55FB4vX8oBsK9QOMwF+KWhRaIJt0GqPUg+7F0P70vShSi+weuE/hDwYQ3SdQLh9SDo/7wIjeZml83bg1ByjyyMvKdlPvZSyWF8mv9w/bzFWWbLhCLhQrlqVdC9UWU/rHKNzajPFWQkwJViQYyirne7YtbJkZsi+HrJnrnb6vhAb6jBn3tzFpQBApxen1bmMt9IdixBCgwvlsaX/SmmpjA0VtZ5S62n39ybMCUHGxodaggadU9m9bj/t+NV+ivMlIV2XxYvNLgVNLgW58/SyCyiVoZTFB4NPAeTqODskYMmOBNCrXlTHv7S0zvGhIsZAme7JxfWpqP108XI2JZXZ40AXHOhNtNJdUYrzFfPmrtwrBBpTMtf5SuDlg1tz37aTGimAsWZ4NFDqJgkO31YqAj5kK/fU8r2YBmvtdV2k1Uw3XlrnR7cTAyHWS+uI2L7WeTpmvTTGC99EZ+bdtWgDuDYw0tpS6gJnK3b0iEzJ2IQ0iWrCvLu3tM6Y6iFTcxuri46Zd7GiDHs4P09BlwRZWlkqs99NANrnRUiMlo9uaSzlngvKpt9lQrJ8j4fE2IbQdOMfozRTb5h1TGX7nFkd50XAtnxdDjdGPyueN55kays7P3Nw9+7d5LqwwFve8hb+zt/5O/dcd3dX2N9r164B969fv2hcGk1a0zR8/dd/PR/60If46Z/+abz3nWbs2rVr5Lk8kP7oH/2j/Mk/+Se7IOzpp5/mW7/1W/nSL/1SXvGKV/C2t72N6XTaVXtubW3x+te/nqeffppr166xubnJd3zHd/AVX/EVD23Qe/To0aNHj0cJ5x0qRiQ2+K3f+q2Vz0+TAQsh8J3f+Z38/t//+/k9v+f3APevX79oXJog7ZOf/CQ/+ZM/CcCXfMmXrPztP//n/8wf+SN/BIDf/M3f5Pbt293fvuEbvoFnn32W7/u+7+PmzZt8yZd8CT/3cz+3IvT74R/+YbTWvPa1r10RA54f7odFkxnxcVg7u1NH/75wU2o/T/8eM0s0Whqfd6mTcDRluJjhLliR6CQl5dS8O7fl2a3zZcfCEBIrpRYp185zKi7Yum5W3B5/KGGFLVyt/lpmZBYeR8vjeWi4Dl2DkJimblsdy1Ox3JKl3c9yerk97sbNZOYfnaR1Q43Rc1xYjEvLRNZuf4W10srSJKZu+TrG2KZn2/FxK8etlU0sn0WFGq+rpWNyaSxrYmwAs9hnSvO2y7bXKMSKEGQbCgVLKc/l8RbdpVn6LEjlbctCdFWTpDIHCFGj4npW6SjD2bYjyiBIqr6G7p5s09bCuJYr16NNrTkz6/bR3o+1O1hiBB1NStPWujhyH/pQd+O1zFItM43AUgp9+d5b/Y6pxP4dD790zy70UcIypzFr5aUtO9bdow1E11mE+KVjlPFf+g4HMdgt0z2wzGZ2jGGwBO2YAUbtYXSR9udpfCksb2IYlbI4ndLp2q6kWJeX7dLe6CUGXS+xoot04zIjJkbBjhhtx2ybdI8vM/CHn2Xd9yS0ny/ud3Xombz8PDyu0vOBqz4vAx6VkscEpdR9+by98Y1v5Fd+5Vf4r//1v17AUZ0vLk2Q9tKXvpTT+Op+5CMfOfLZm970po5ZW4fBYMDb3/523v72tz/IIfbo0aNHjx49zoiL0KTdbzz6pje9iZ/+6Z/m53/+53nRi17UfX6/+vWLxqUJ0p6feNCigLOVeq+7KY8KXldboLRYMBAyuw5B/LiOslUL8T2wwooEHF7pFcZowXYsXMMDruP3nF/oYtr9tOxP60u/vJ5C40M63rjKprXsxeK//ZHZ74LBMYd+5xCj0LBggzzJaz4VMaSG8X6hO1qI5KfCRsSF2UfLPh49x5oQqzSmmqia7tw7hnKJWVkwmOnYADFQlTstBPmvFX1N2jd4YqhB6c4wVCuLD8uM1rLLOhB94sEiRJWYxEVHi3UGzbHbt0/jl9ovYLprg0pauiUWp7tWSyyhGJvodB+Irs0vF9ItsabC/In+0ie2VauFbnKh3VqwijG2noFW7lG9eo3k2Fomt9XWOWELQ+j0egscYnCXrl0aRaC95w6z5H6xbMdAtttRaczSd+BQEULqBdCtE9Go6Gh7JMCitYDoVmUsO1Z9hZ1NbCFSyYkDry0q3euiGS1X7hWlFqyXMGmr7OKCFWsW4+AhqFRwopav+brnTKsbk1YHUS3Y9WVGbB2bFmOg7XrRPtfoxuU4rDKgpza6Vbq75m3HjOccz1emLJ7/oZ91ezFGvuM7voN3v/vd/Jf/8l/47M/+7JW/P3f69bOhD9J69OjRo0ePHp/ReOMb38i//tf/mn/37/4dGxsbnc5sa2uL4XB4afXrfZB2QTisu7nf9Ve34Y9dZhWHP9ednqdlOmRmU6/O2pdYj24fiN+VbPKo1ugwsyWfr7JpJzNizdL2SMcmTMCyPq09r+XZ99GKwQWLtm7cDzM6CzZDJ/3VMqvo8Cv6ocSihHpJh+WFQVu61mt1cx1b12p5dCKgjtqHtKxJy7ZIf9GGQLJqODQuHYvWnk/0og+LGt9qCpcsM1buobZ5acfOhCXd47r7NqywRwvt2jJr5Dmsi1y+VqtjvrQOOlEwC9ZlhVlsmSCVziPprloGc1lzJSyaS2MoXmeKcETvtbhGTXed5PrXyOFIZ9Bl5miZ+ZTPls4nOlDttT06eke+r2mgooqrY7HCEKxj29P1InT7au+nw1rUVca5vU8l9dSyaUdY4CWN3oIFlnV9WPQMBo7V6cn33qDVooPG4WfAauVve2YVimzpa324M8FR5nz5+dVeq8OatHU4le3GeeH5yoCdI857tM86oq3naqtvb/GOd7yDP/fn/hzwXOjXz44+SOvRo0ePHj16fEbjNJr3y6hf74O0C8Z5VAwdZpNOXvjQ31XLZ7VsmkzqIuEQ8wNH2Smdlvcdk7PMNq1WTC0YMbWkr9FpO6tVVG7tLLojdhLTd5iNWDv7bv89hrFsdVGHz29ZEyQVjkdZQqWW95k0Tkc0f60Gy61ogNp1Vhi7qIg4Qsv0LT0zVlm+sLKO0Cy+G5ujLIlL49AyCjoxTwHIVs5/MS5qsfsYQQXAsFzlehziksBkfeeN5crl1WrQxb3VntsSS7J0bvJZc+h6kdg+3zFBrfZqmVlcsGgxabcs0reg1WwdHndW9iF/WDd+y+d3GMvjt2C2ju7nGHQspj6y/QVjqdayB3Kvmo4tX6zjl/57iSkkrLBp6/VrS/dVy+bGZSZ3sfxh3zEZ+8SwsczJnkYnBtAcYoFPP44rrNopshhHt+eP+fw+0TNoABdSOHDe27us6IO0h4YHfAg80EOkfRAdfiCF1e2q5WdMWEknLNY7Lu3ou2Dw8LmuplWXX8ptYJYCq3g0nXFSwLo2xbkSSK4LFlqB/KpAubURkHXbdJhbOtDlIGRpPyvppuVxjZLWSkFGF4yuGcdFgLZYp32xyjU7HAAtDSBIwLUU3K2Mx+Fzx6dgpk27nb7d2TosAoWjAcJycLeIwNuUnTl0bZfGIy7fJ20wIg/pdfcjLNKQC5G9pbuHDwUya++pY8Zvsd6ac2d1/NYuFw8Fg2u2fTqJxPI1bsf78BgeHX85vqU06RFJASyPidwbi0CtlT8cTQH77vy6f5dT9el7vD513J5De73p7vVObnHCeN3P347i7P06H1rxwPMU/UjdHx60PLFHjx49evTo0aPHBaBn0s4FD5MVY2U2d4QJ6dJXy+mEZaymDVe2tSYF07Jv8t9rGDilV9iUuGYeEJdsE9aeT1z0JG0PZ3XmvRDXH8VRg+DDxRAnYXnfq2nFJSZoiQViiRlYPSe/hjWRlNhy2vneSGm0jmE4nA4LR/dziIE7EesOZOW6Lx/HgqE6Cd0YPgCTcThF131OPCKYX97GcgHAKiT9rNRyuvO4VOyCQeqsIA5Z1RxBjMIcLTFPR+fApxuPo2lL7vGMaO/D48ewvT9WmbF1x3R4TFbHYpnhWl7nyDkcYuBaq5BlmcVx67b3Oqy/PdfjpO/38abh9173EJZsOHqcDRfRu/NRQB+k9ejRo0ePHj0uDBGIDyilOLrN893eZUUfpD0QWpbjFDjj7Ot+tQ6HdTFHsaxhOsyeHdaILNZZP5tdM8tPzN3xbMpqa5xVDVy73kIEvcpQLemcDq13HI7ojVZYp4X1xnqR96oB6XHbX53tr9P5HR28dr3VfS4xOkvrxKXH0dkFzQu2b/H78ffX6v3Trrt+nyfdZ4ev8ckM3DJLuMoeLevzDleSHDeGq/tathfRR9Y55uAXrNhxDPQ6LeDasT6douQwA3ea67xY57hWaoe3sdD1LX6/F4Mp57BgMOX3dUU9J53T8uU7/F1Zj+VxP6zTO84o+Dic1TT88Lkc/x2453KnpwJ79FiLPkjr0aNHjx49elwoLktbqOcb+iDtQdFpvjgTW/acVgWdUI0mOOG4D2na1m13Ye66ysCsYy0Ol+qvYllbc1yl2j2Od+2667RKp2Q44iEmSCXm7QiLdNSaY901XrAzpzHbXGK1jtM5rdVsqaX/htOrN9Yd11Hm9fgDPnyMp9jv0vfnpMrd4/Zz4jodfbMwf20/XlnnJFZs5f4/HaOyzHyebuzvxcCdzH4ePx4cYsSWju8QA7d2sxw/FmuZz2O2scqmHdXOHX9OR7W0p17/OcLRCs+eTetxvuiDtB49evTo0aPHxSH2Pmn3iz5IOw+cajb63OFeurSjFYcsT1XXrLCeLTx8buv0TEdn2eHINo43RF2HVV3ZYt3jmKlVH7cjlbBH9GxrzGrPgGNZhTUM3Dq93L1xlNFZf48dZj+WD/KsurZ7r3P02q/+7XTrnPa8zKF1lvZ5hElaFkMdz4qd+D09hk0+87jfA0cZuHsxdy1DeLTa+F7ntqqBY3W946pjl7R9cEZ95EpF6XE4dL7t9k+sTj87jvOhO/X5HKrwXGauBT2bdhgx/fQ4O/og7QHRvmjOFoyd9SV5dju7ex/PuhTP0W2spNuO3f6h9MxJKdJTH9/y4S2lbE71ID0c4N0jXXQsltc74VyOFEm0x3nyC3bddT3dMa5/iR5/gMcFDOvXWU6HnQ4npG9Pk6Jed7+sW+/YgOvwOifg8HonrrMUEJ5mPA4XN9zPGK6sc9KYLfa1er1OMx7rrtfpnkknBncnrXMkgD/9/Xj8mNyfzee5dBO4pxXH/Qdq9y7+6vEooQ/SevTo0aNHjx4Xij7deX/oOw6cA45nP8IxP2fFOcz8jhwTMqtbntmpo6nDdSnNVUHxMQzbOgHzigj/+ONrWzgtWjmlfR0qVDiMdYUGx5mBHp6pLq970nrHfWWOLWo4VYrjEEN43DqnZADWjs+x53N4nUNMzJGCi3vt/JTMVlyYq564jaVljxzrsfs6I9P4oMd30r5OOx5n2v4p9nXsthfXWcyZz3J9l75/K/f7vdc/uq8zPgvXHudxz9cHedaeAYdY0qPs15pnhVLrJSWHEA/9r8eji55J69GjR48ePXpcKM4/2Hw0gtc+SLtPtE2pUa2+44Jnbae0bTh+3UM4zNacMLs7+uW6P0bgOB3byRqMBQN0LwbuNIUKJx7uKewL4GQT13a9+9eWnW0/Z1rvAbU499TmtdfxAgoTTruvBcu22iYLpe69zhn3dap14N7rLVmFrNXA3S+TeRbc7zU7Q3HEyjieRnd33D5bnLYR/bE4h0TSmiKCo5Yca47jBH3aOo3zia3/ngeIXEC683w3d2nRpzt79OjRo0ePHj0uIXom7VzwXMX0Z6lsOq5Sas105hQaiXtu9x5M31rbj2PXOY7ROiuWdGbr2JITZ+In69+OXefYYz2dee1Z8bzSqxy59xL7uYZJPU0j9yObP8VYnFfl3PHGskfbVx2LNWzK/TJwq1Yc9zjOU6x3PA5ds2PYtOMq3o+wkme0KVnd2INu45ye2/e05ICzVnuu3wYrnz3fGLU+2Xl/6Jm0Hj169OjRo0ePS4ieSbsIrK2YPG/cj4bkQeYex1TcrTm/k6tdT8DhWfla49z2s1MyiSv6sNPo+k45riuamnsYo54LU9luPJzCo+kMOI1H3nGrss6M9ugy58qIxdjpQM+DFVvZ1+GxSI3W2+XOuq/jGcJ1Cx/yPTvtvg6tB2dnWE7e3zq97Ro27X73d56M2nF4kG0/AE6lTzvadf4e21jg+cSoXYQm7VHxBu6DtAfF8+VOua805ykKDk6N8yo2WODow+kkO4KT9r+m+GOt+P+41NAJ2z5NgHbqQoPF8sft/zQP7PtJ1Z32+A73Dr03Vl/4Z03f3s9664OS+0vj3+u+vt9A8vB6pzOnXj3Oewe7q9s/75f9mQKM85p0rN3ZcxDEHTNxWj8Gx6Q+Ye3z9V7fp+dLUcF5vyqfL6/eB0Wf7uzRo0ePHj169LiE6Jm0RwFnZtHOUHRwZL0HaDdzYmro/mbap0+3HcfCnc3+YK0pbMLaWe5FMgjcL0PyYOnE+y1mOFbkzsnncar9LaVJ7/cYjz2GwwLwQ/s6/Q6OHuOpxn8NK3Yslo/1hP3dU/S+dI/A/TM4l6IF0rrv4DmmSI9n0+B+GDW4N6v20Md0Dc77SfeIEGk9k9ajR48ePXr06HEZ0TNpD4ATZ4EXVjBwBjyw3cY9trUW9z9fWj87vD/z1PXbOjQnWWcfsNJ66jkwEV3Buln1Rc2jTmfQe2YLkuds3nc6+5bzYWoenIF7bvZ3v+P/4Pt7kHG+lOzPSd/nY4qbTsLx+rxjjNDv0Yz9XqzaZbPmibE3s71f9EFajx49evTo0eNC0RcO3B/6dOdF4DOJRTvchP1BjufM27oAduoknNjAfT3jdl/7vEez89PivFidblZ+4Syr7P90bcYeYGxOPJ7ncv79IPu6V0XiPdqonTsuxoz5PNd/ztA2ez/j9/dkm5P7b8au0v96fGaiZ9J69OjRo0ePHheKvnDg/tAHaQ+AldnLZWDP4CHp0C5iOw9SzXmGbZyx2fZJ6x+/7ppZ8r3WO/U1a1m55/CRdWnyDIc1WBfJkj243utCcZZ2VGvXe5DzgwfR7K0czhk9v+7XZPgkXCQrdbKn3wn6NLjn9+5svnrPLSJ9uvN+0Qdp54HnKkA7y135IMd02v2cyqj1NLYdcGxJeruNM5usPugL+2wB3knWG+e2v+Vd38tm4azrPAwce13Xj8XF2TWsLzx5TlJIa+07zq/Q4blZ70HXXY+zGChf9H6fu3TiCc/BUwZrcG8D3B7PH/RBWo8ePXr06NHjQtGnO+8PfeHAZcOywP7wz2lwSrHpifs+D9xXkcAJbaieg4KDB2fDHmSfS7gsqfNzwWnTsc8B83kvrBv3+/0+PMj5xvu8D1f2eYZWZadd7xFGPOZ/F4cTXs1neMb3BQXPf/RMWo8ePXr06NHjAhGJ5ywiO+/tXVb0QdqD4kFZj/O60Z4LDdpzub1LVWxwMYTzubZPOoLFMZ/fjP90BrjnuY+1WNFt3VsLdVRf9lya7j7o/s647rlo2o7DMcL2Dof1pZ/5uHg27RSM6PMgWLkIM9vLf9bng0fn29SjR48ePXr06PE8Qs+kPQyc98znYVtsnPf2zpOJu+BKx4fFwh2Ls9wLl24GfsGVsWsZuLMwdw/Caj3ouveDE/Z5YlXpgzKN97P+o8fCnQ6nuEefJ4zaeR/d5T7b88Ol/Ub8xb/4F1FK8ba3ve2ey7797W/npS99KYPBgFe+8pV84AMfWPl7WZa88Y1v5Pr160wmE1772tfyzDPPXNCR9+jRo0ePHj16PDguZZD27ne/m/e///089dRT91z2ne98J08//TRvectb+NCHPsTLXvYyXv3qV3Pr1q1umTe/+c381E/9FO9617t43/vex6c+9Sle85rXXOQpHMV9tUU6BS5Lq6fz3N6pENb8PCgexKvsAlsAnTueq/094H4unBk4/viO19st32tL6x/3PTxSOXle9+ppcb/7O269074yHoT96ytMV3HKMb/kVeEhnv/Po4BLF6R98pOf5Du+4zv4sR/7MbIsu+fyP/RDP8S3f/u387rXvY4v/MIv5Ed+5EcYjUb8i3/xLwDY3d3ln//zf84P/dAP8VVf9VW8/OUv5x3veAe/8Au/wPvf//5jt1tVFXt7eys/Z8J5BzCHcRarjYs+lrNi3TE8NOsPOMuL4TzK70+//qr4/+h6z2W3gdO+OB+VF+xnwHmeaMVxHniQgOthBLSXGWcI1C5hsBY5/wDtMrzKngtcqiAthMA3f/M3893f/d387t/9u++5fF3XfPCDH+RVr3pV95nWmle96lX84i/+IgAf/OAHaZpmZZkv+IIv4CUveUm3zDq89a1vZWtrq/t58Ytf/ABn1qNHjx49evTocTZcqiDtB37gB7DW8lf+yl851fK3b9/Ge88TTzyx8vkTTzzBzZs3Abh58yZ5nnPlypVjl1mH7/3e72V3d7f7+fjHP75+wcPi28vAVl025mwdLuIYH9p2zsbC3c+6p8JzMYM+z96w97P7dvxOukYnHc+FmdNeAB7GsR5Z9zzYrPNY/7KxauvkFpfoOC8lm3be/3s08NCqO3/sx36MN7zhDd3vP/MzP8M/+Af/gA996EOoS3CDFUVBURQP+zB69OjRo0ePHo8oHlqQ9rVf+7W88pWv7H5/17vexa1bt3jJS17Sfea957u+67t429vexkc+8pEj27hx4wbGmCOVms888wxPPvkkAE8++SR1XbOzs7PCpi0v88B4Ps2ynyM8Zw2qux2eZjyWy/yPme0ut6E61WThHAsGzmRE+oB2FRfaZusSMAmH8Jzfjys7v0iD2edqn+fNpp3QSPyBjuOik0Pnrc281/E+wLgftll5yDh3M9vLc2oXioeW7tzY2OBzP/dzu5+/8Bf+Av/7f/9vfvmXf7n7eeqpp/ju7/5u/sN/+A9rt5HnOS9/+ct573vf230WQuC9730vX/EVXwHAy1/+crIsW1nmwx/+MB/72Me6ZXr06NGjR48eF4OTWlLf98/DPqnnCJfGzPb69etcv3595bMsy3jyySf5/M///O6zP/pH/yh/8k/+Sd70pjcB8PTTT/Ot3/qtfOmXfimveMUreNvb3sZ0OuV1r3sdAFtbW7z+9a/n6aef5tq1a2xubvId3/EdfMVXfAVf/uVf/kDH/FBn55cYrVrg3MfnfqZOaxmFNQzWiVhe/hgW7vA2jhiRHp4PLW3jzKai97vuWWblZ1j2XqzNSeP7IIzPceue0xT7yP170rEe2uep173Xsd7DlPme697vei3OUkG+Dseuf1Fs6+VjcU/GBR7vo0I1fYbj0gRpp8Vv/uZvcvv27e73b/iGb+DZZ5/l+77v+7h58yZf8iVfws/93M+tFBP88A//MFprXvva11JVFa9+9av5J//knzyMw+/Ro0ePHj0eOYRz5r4eldIBFR+VVvIPiL29Pba2tgADSzPknkkTHPeFOev4LG/n0oztKdmTM617mvUvYr/ntM9jWdJ7eG8de33VIdbp8O7vdV8co7+53/vp8P38XKz7MPa5bhuX5nvX41yw/tkcAc/u7i6bm5sXuv93vvOdvOmb/j989bVvO9ft3qx/i088/gE+/OEPn+t2Lxued0zaZcOjEs3fLx7U9PU8cNJL5177UJwsvj1p/ftdtzveewRU69Y/zbon7vcM+1z7Ur9HoHT485OO96T17rXfdeueJgg50z5Psd7hv61b/177PG7d0+5z3fpnXbfH5cL9Bv4PE+dNBz0q9FIfpPXo0aNHjx49LgyR81ffPd/Uh/eLPkjr8RmPh8Xm3e+6/fFe7LoPk919vu67x+VCfy0fHfRBWo8ePXr06NHjQnHu8vdHJN/ZB2k9evTo0aNHjwtD5PzNbM97e5cVl6p3Z48ePXr06NGjRw9Bz6T16NGjR48ePS4UvU/a/aFn0nr06NGjR48ePS4heiatR48ePXr06HGhOPe6gfPd3KVFH6T16NGjR48ePS4MkXju6c5HxSetT3f26NGjR48ePXpcQvRMWo8ePXr06NHj4hAvwNbsEcl39kxajx49evTo0aPHJUTPpJ0SC7fkRyR879GjR48en6GQ99i5dwE4AeevSXs03sV9kHZK7O/vp/96VOSKPXr06NHjMxn7+/tsbW1d+H6k48A5+6T1baF6LOOpp57i4x//OBsbGyilHvbhnBp7e3u8+MUv5uMf/zibm5sP+3DuC/05XA7053B58JlwHv05PDzEGNnf3+epp5562IfS4x7og7RTQmvNi170ood9GPeNzc3N59VDZB36c7gc6M/h8uAz4Tz6c3g4eC4YtGWcd4eAR4NH6wsHevTo0aNHjx49LiV6Jq1Hjx49evTocaE4bzX3o8Kk9UHaZziKouAtb3kLRVE87EO5b/TncDnQn8PlwWfCefTn8OjgYjoOPBphmoqPSolEjx49evTo0eM5xTvf+U7e8Gef5hUb33yu273TfISDF/5PPvzhD5/rdi8beiatR48ePXr06HGhOG8+6LwLES4r+sKBHj169OjRo0ePS4ieSevRo0ePHj16XBgi568he1SYtD5I69GjR48ePXpcKM6/cODRQJ/u7NGjR48ePXr0uITog7TnGd7+9rfz0pe+lMFgwCtf+Uo+8IEPnLj8u971Lr7gC76AwWDAF33RF/GzP/uzK3+PMfJ93/d9vOAFL2A4HPKqV72K3/iN37iQY3/rW9/Kl33Zl7GxscHjjz/O133d152qMucyncNhfP/3fz9KKb7zO7/zxOUu4zl88pOf5Ju+6Zu4fv06w+GQL/qiL+KXfumXTlznv/yX/8Lv/b2/l6Io+NzP/Vx+9Ed/9MgyZ71H7xfee/723/7bfPZnfzbD4ZDP+ZzP4f/9f//fewqUH/Y5/PzP/zx//I//cZ566imUUvzET/zEyt/v91641zGXZckb3/hGrl+/zmQy4bWvfS3PPPPMuZ9D0zR8z/d8D1/0RV/EeDzmqaee4lu+5Vv41Kc+9bw5h8P4i3/xL6KU4m1ve9ulOofnD1oTjvP7eVS4tD5Iex7hne98J08//TRvectb+NCHPsTLXvYyXv3qV3Pr1q21y//CL/wC3/iN38jrX/96/uf//J983dd9HV/3dV/Hr/zKr3TL/OAP/iD/8B/+Q37kR36E//7f/zvj8ZhXv/rVlGV57sf/vve9jze+8Y28//3v5z3veQ9N0/DVX/3VTKfTY9e5bOewjP/xP/4H/+yf/TO++Iu/+MTlLuM5bG9v8/t//+8nyzL+/b//9/zqr/4qf//v/32uXr167Dq//du/zdd8zdfwlV/5lfzyL/8y3/md38mf//N/nv/wH/5Dt8xZ79EHwQ/8wA/wT//pP+Uf/+N/zK/92q/xAz/wA/zgD/4g/+gf/aNLfQ7T6ZSXvexlvP3tb1/79/u5F05zzG9+85v5qZ/6Kd71rnfxvve9j0996lO85jWvOfdzmM1mfOhDH+Jv/+2/zYc+9CF+/Md/nA9/+MN87dd+7YnbvEznsIx3v/vdvP/97z9Vn8vn+hyeL2g1aef9c1Zc1ATpQhF7PG/wile8Ir7xjW/sfvfex6eeeiq+9a1vXbv8n/7Tfzp+zdd8zcpnr3zlK+Mb3vCGGGOMIYT45JNPxr/39/5e9/ednZ1YFEX8N//m31zAGazi1q1bEYjve9/7jl3msp7D/v5+/LzP+7z4nve8J/7hP/yH41/9q3/12GUv4zl8z/d8T/wDf+APnGmdv/bX/lr83b/7d6989g3f8A3x1a9+dff7We/RB8HXfM3XxG/7tm9b+ew1r3lN/LN/9s8eu85lOwcgvvvd7+5+v9974V7HvLOzE7Msi+9617u6ZX7t134tAvEXf/EXz/Uc1uEDH/hABOJHP/rR59U5fOITn4gvfOEL46/8yq/Ez/qsz4o//MM/fOJ2HuY5XFb823/7b+OGeUH8g1tvPtef3zN+Tfydv/N3nulYfvZnfzb+zb/5N+OP//iPr73m3//93x+3trbiT/zET8T/9b/+V/zar/3a+Nn///buPqbL6v/j+Au5lfiCeROEDtGWX8ObJElHtGnpMnNm/mHWENHKyjQ1G6nzBre8qXRlOsHZMsss72bTrNkMoaQ0x42p09R5g31TQGeCyxscn/P7w5+f9RE+CB+uy8+FPB/bNeFwrus6p64Pe/M+1zmnUydz5coVC/+LNAyZtCaiqqpKhYWFGjhwoLusRYsWGjhwoHbv3l3rObt37/aoL0mDBg1y1z958qRKS0s96kRFRalv375er2mliooKSVLr1q291nFqHyZMmKAhQ4bUaFttnNiHrVu3KikpSSNGjNB9992nxMREffLJJ3Wec7t++PKMNsZjjz2mnJwcHT16VJL0+++/Kz8/X4MHD24yfbiVL89CfdpcWFio69eve9Tp2rWr4uLi7thnPSAgQK1atar1507sg8vlUlpamjIyMtStW7fb1ndiH5zE6iya0Y3MV2Vlpcdx7do1r20YPHiw5s2bp+HDh9f4mTFGS5Ys0axZszRs2DD17NlTX3zxhc6cOVPnULjdCNKaiPPnz6u6ulrR0dEe5dHR0SotLa31nNLS0jrr3/y3Ide0isvl0pQpU5SSkqLu3bt7refEPqxbt05FRUVauHBhveo7sQ8nTpxQdna2HnzwQf3www8aP368Jk2apM8//9zrOd76UVlZqStXrvj0jDbG9OnT9cILL6hr164KDg5WYmKipkyZotTU1CbTh9rad/N+9b1/fdpcWlqqkJCQGkHSnejX1atXNW3aNL344ouKjIystY4T+/D+++8rKChIkyZNqld9J/bhbnfhwgVFRUV5HPX9vXwrfyctvGEJDvjFhAkTdPDgQeXn5/u7KQ3y559/avLkydqxY4fCwsL83RyfuVwuJSUlacGCBZKkxMREHTx4UCtWrFB6erqfW1c/GzZs0Nq1a/XVV1+pW7du7nfMYmNjm0wf7nbXr1/X888/L2OMsrOz/d2ceissLNTHH3+soqIiBQQE+Ls5Td6NaQPWvujvkkutW7fWiRMnPMp93UfVn0mLupBJayLatm2rwMDAGrOAysrKFBMTU+s5MTExdda/+W9DrmmFiRMnatu2bcrNzVWHDh3qrOu0PhQWFqq8vFyPPPKIgoKCFBQUpJ9++klLly5VUFCQqqurHd8HSbr//vuVkJDgUfbQQw/p9OnTXs/x1o/IyEi1bNnSp2e0MTIyMtzZtB49eigtLU1vvfVWnX9JO60PtbXv5v3qe//6tDkmJkZVVVW6ePFiva/bWDcDtJKSEu3YscNrFk1yXh927dql8vJyxcXFuT/nJSUlevvttxUfH98k+uA0JsBl6SEZBQQEKDIy0uO42za7J0hrIkJCQtS7d2/l5OS4y1wul3JycpScnFzrOcnJyR71JWnHjh3u+p06dVJMTIxHncrKSv32229er9kYxhhNnDhR33zzjXbu3KlOnTrd9hyn9WHAgAE6cOCA9u3b5z6SkpKUmpqqffv2KTAw0PF9kKSUlJQay58cPXpUHTt29HrO7frhyzPaGJcvX1aLFp6/wgIDA+Vyef+L3Wl9uJUvz0J92ty7d28FBwd71Dly5IhOnz5tS79uBmjHjh3Tjz/+qDZt2tRZ32l9SEtL0/79+z0+57GxscrIyPCYCezkPqBh/JW0uC2/TVlAg61bt86Ehoaa1atXm0OHDplXX33VtGrVypSWlhpjjElLSzPTp0931//ll19MUFCQWbx4sTl8+LDJzMw0wcHB5sCBA+467733nmnVqpXZsmWL2b9/vxk2bJhts1nGjx9voqKiTF5enjl79qz7uHz5sruO0/tQm1tndzaFPuzdu9cEBQWZ+fPnm2PHjpm1a9ea8PBw8+WXX7rrTJ8+3aSlpbm/P3HihAkPDzcZGRnm8OHDZvny5SYwMNBs377dXed2z6iV0tPTTfv27c22bdvMyZMnzebNm03btm3NO++84+g+XLp0yRQXF5vi4mIjyXz44YemuLjYPfOxPs/Ck08+aZYtW9agNr/++usmLi7O7Ny50xQUFJjk5GSTnJxseR+qqqrMs88+azp06GD27dvn8Vm/du1ak+hDbWqb3envPjQF69atMxGBMaZPqwmWHv+959kGz+78N3mZWb148WJ3WUVFxR1b7cAbgrQmZtmyZSYuLs6EhISYPn36mD179rh/1q9fP5Oenu5Rf8OGDaZLly4mJCTEdOvWzXz33XceP3e5XGb27NkmOjrahIaGmgEDBpgjR47Y0nbdWC6nxvHZZ581mT7U5tYgran04dtvvzXdu3c3oaGhpmvXrmblypUeP09PTzf9+vXzKMvNzTW9evUyISEhpnPnzh7/726q6xm1UmVlpZk8ebKJi4szYWFhpnPnzmbmzJkegYAT+5Cbm1vr5+DmM1OfZ6Fjx44mMzOzQW2+cuWKeeONN8y9995rwsPDzfDhw83Zs2ct78PJkye9ftZzc3ObRB9qU1uQ5u8+NAVOCtKs+APpTgsw5jbLcwMAAPhg/fr1ejl1sh76j7UL9lZe/5/U/ki9dq25KS8vT0888USN8vT0dK1evVrGGGVmZmrlypW6ePGiHn/8cWVlZalLly5WNr1BCNIAAIAtbgZpXf/znKXXrbz+PwW0P9agIK0pYuIAAACAA7FOGgAAsJGRK8DiddICjGrOpb/7kEkDAABwIDJpAADANkayfMcBY/H1nIogDQAA2Mj6baFubLF+92O4EwAAwIEI0gDcUZ9++qmeeuop2++zfft29erVq85togDY78ZKwS7Lj+aAIA3AHXP16lXNnj1bmZmZtt/r6aefVnBwsNauXWv7vQDADgRpAO6YTZs2KTIyUikpKXfkfmPGjNHSpUvvyL0AeGPkUrXFB5k0AKjVuXPnFBMTowULFrjLfv31V4WEhCgnJ8freevWrdPQoUM9yvr3768pU6Z4lD333HMaM2aM+/v4+HjNmzdPo0ePVkREhDp27KitW7fq3LlzGjZsmCIiItSzZ08VFBR4XGfo0KEqKCjQ8ePHfe8sgEazfqiTiQMAUKt27dpp1apVmjt3rgoKCnTp0iWlpaVp4sSJGjBggNfz8vPzlZSU5NM9P/roI6WkpKi4uFhDhgxRWlqaRo8erVGjRqmoqEgPPPCARo8erX/vdBcXF6fo6Gjt2rXLp3sCgD+xBAcAnzzzzDMaN26cUlNTlZSUpHvuuUcLFy70Wv/ixYuqqKhQbGysz/d77bXXJElz5sxRdna2Hn30UY0YMUKSNG3aNCUnJ6usrEwxMTHu82JjY1VSUuLTPQE0ngmwY8eB5jHcSZAGwGeLFy9W9+7dtXHjRhUWFio0NNRr3StXrkiSwsLCfLpXz5493V9HR0dLknr06FGjrLy83CNIa9mypS5fvuzTPQFYw6VqS6/H7E4AuI3jx4/rzJkzcrlcOnXqVJ1127Rpo4CAAP3999+3vW51dc1f6MHBwe6vAwICvJbduuTGhQsX1K5du9veEwCchiANgE+qqqo0atQojRw5Uu+++65eeeUVlZeXe60fEhKihIQEHTp0qMbPysrKPL4/ceKEJW28evWqjh8/rsTEREuuB8AXhnXSfESQBsAnM2fOVEVFhZYuXapp06apS5cueumll+o8Z9CgQcrPz69RvmXLFm3evFnHjx/X/PnzdejQIZWUlOivv/5qVBv37Nmj0NBQJScnN+o6AOAPBGkAGiwvL09LlizRmjVrFBkZqRYtWmjNmjXatWuXsrOzvZ738ssv6/vvv1dFRYVH+ZAhQ/TBBx8oISFBP//8s7KysrR3716tWbOmUe38+uuvlZqaqvDw8EZdB4DvjJFcptrio3lk0pg4AKDB+vfvr+vXr3uUxcfH1wi+bpWQkKAhQ4YoKytLM2bMcJe3b99eGzdu9Kg7fvx499e1ve/276U2bt7/32Xnz5/Xpk2baqydBuBOMzYMT7JOGgBYbtGiRYqIiLD9PqdOnVJWVpY6depk+70AwA5k0gDcUfHx8XrzzTdtv09SUpLPC+cCsJKRYQkOnxCkAfCrvLw8fzcBAByJIA0AANjGSJZviE4mDQAAwAJWB1WGiQMAAADwFzJpAADARkbGWDxxwOLrORWZNAAAAAcikwYAAGxzYylb3knzBUEaAACwFeuk+YbhTgAAAAcikwYAAGxkZCzeEJ1MGgAAAPyGTBoAALCNPTsOMHEAAACgkexYJ43hTgAAAPgJmTQAAGAr6/fubB6ZNII0AABgH2PD7E7TPN5JY7gTAADAgcikAQAAW1m944BULSnQ4ms6D5k0AAAAByKTBgAAbGPs2HGgmbyTRpAGAABsZf22UM0jSGO4EwAAwIHIpAEAABsZG7aFah7rpJFJAwAAcCAyaQAAwDZGNryTxsQBAACAxrJjg3Wr111zJoY7AQAAHIhMGgAAsJX1L/o3j+FOMmkAAAAORCYNAADYx9ix40DzWIKDIA0AANiKHQd8w3AnAACAA5FJAwAAtjEylk8cIJMGAAAAvyGTBgAAbGX5i/5MHAAAAGgsO2Z3MtwJAAAAPyGTBgAAbGb18CTDnQAAAI1jy2K2DHcCAADAT8ikAQAA2xhZv8G69Ru2OxOZNAAAAAcikwYAAGxl/YbozeOdNII0AABgIyOp2uJrMtwJAAAAPyGTBgAAbGTHEhxk0gAAAOAnZNIAAIDNmDjgC4I0AABgL6uHJxnuBAAAgL+QSQMAADYyMhYPT1p9PacikwYAAOBAZNIAAIDNmDjgCzJpAADAXsZYe/gYpC1fvlzx8fEKCwtT3759tXfvXmv7aTGCNAAAcNdbv369pk6dqszMTBUVFenhhx/WoEGDVF5e7u+meUWQBgAAbGRk5LL08CWT9uGHH2rcuHEaO3asEhIStGLFCoWHh2vVqlXWd9kivJMGAABs0aFDh///yuoN1qW4uDhVVlZ6lIWGhio0NLRG3aqqKhUWFmrGjBnushYtWmjgwIHavXu35W2zCkEaAACwRUpKii5duiSXy/rFZxctWqSoqCiPsszMTM2dO7dG3fPnz6u6ulrR0dEe5dHR0frjjz8sb5tVCNIAAIBtIiIibLnurFmzlJGR4VFWWxatKSNIAwAATY63oc3atG3bVoGBgSorK/MoLysrU0xMjB3NswQTBwAAwF0tJCREvXv3Vk5OjrvM5XIpJydHycnJfmxZ3cikAQCAu97UqVOVnp6upKQk9enTR0uWLNE///yjsWPH+rtpXhGkAQCAu97IkSN17tw5zZkzR6WlperVq5e2b99eYzKBkwQYY5rH3goAAABNCO+kAQAAOBBBGgAAgAMRpAEAADgQQRoAAIADEaQBAAA4EEEaAACAAxGkAQAAOBBBGgAAgAMRpAEAADgQQRoAAIADEaQBAAA40P8BJs4nytns45QAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "jetTransient": {
      "display_id": null
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_final = web.run(simulation=make_sim(params), task_name=\"optimized_mmi\", verbose=False)\n",
    "\n",
    "data_final.plot_field(\"field\", \"E\", \"abs\", vmin=0, vmax=50);"
   ]
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to start a basic inverse design in Tidy3D FDTD.",
  "feature_image": "",
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "keywords": "inverse design, adjoint optimization, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.10"
  },
  "title": "Inverse Design Quickstart Level 2 in Tidy3D | Flexcompute"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
