{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0ea8d9fb",
   "metadata": {},
   "source": [
    "# Tutorial 4: changing parameter values\n",
    "\n",
    "The parameter values of a model are a `pybamm.ParameterValues`: a dictionary of names and\n",
    "values. Each name ends with its units, and the values are always in SI units: temperatures\n",
    "in kelvin, not degrees Celsius.\n",
    "\n",
    "There are two ways to change them: by hand, one value at a time, or by composing a set\n",
    "from layers (a PCM, a fluid, a geometry, ...), which swaps a whole material or component\n",
    "at once."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "220f9ba2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T10:05:40.278847Z",
     "iopub.status.busy": "2026-11-01T10:05:40.278683Z",
     "iopub.status.idle": "2026-11-01T10:05:41.356207Z",
     "shell.execute_reply": "2026-11-01T10:05:41.354767Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Fin pitch [m]': 0.003,\n",
       " 'Fin thickness [m]': 0.0002,\n",
       " 'Heat transfer coefficient [W.m-2.K-1]': 1000,\n",
       " 'Heat transfer fluid conductivity [W.m-1.K-1]': 0.6,\n",
       " 'Heat transfer fluid density [kg.m-3]': 998.21,\n",
       " 'Heat transfer fluid specific heat capacity [J.kg-1.K-1]': 4184.1,\n",
       " 'Heat transfer fluid viscosity [Pa.s]': 0.001,\n",
       " 'Initial temperature [K]': 343.15,\n",
       " 'Inlet temperature [K]': 283.15,\n",
       " 'Mass flow rate [kg.s-1]': 0.02,\n",
       " 'Metal conductivity [W.m-1.K-1]': 237,\n",
       " 'Metal density [kg.m-3]': 2700,\n",
       " 'Metal specific heat capacity [J.kg-1.K-1]': 897,\n",
       " 'Number of tubes': 1,\n",
       " 'PCM latent heat [J.kg-1]': 250000.0,\n",
       " 'PCM liquid phase conductivity [W.m-1.K-1]': 0.5,\n",
       " 'PCM liquid phase density [kg.m-3]': 1300,\n",
       " 'PCM liquid phase specific heat capacity [J.kg-1.K-1]': 3000,\n",
       " 'PCM melting range [K]': 2.0,\n",
       " 'PCM melting temperature [K]': 333.15,\n",
       " 'PCM smoothing width [K]': 0.01,\n",
       " 'PCM solid phase conductivity [W.m-1.K-1]': 0.6,\n",
       " 'PCM solid phase density [kg.m-3]': 1400,\n",
       " 'PCM solid phase specific heat capacity [J.kg-1.K-1]': 2500,\n",
       " 'Reference temperature [K]': 283.15,\n",
       " 'Storage depth [m]': 0.02,\n",
       " 'Tube length [m]': 10,\n",
       " 'Tube radius [m]': 0.003,\n",
       " 'citations': ['CRC']}"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pybamm\n",
    "\n",
    "import pytes\n",
    "from pytes import parameter_layers as layers\n",
    "\n",
    "model = pytes.SharpFrontModel()\n",
    "parameter_values = model.default_parameter_values\n",
    "parameter_values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "469e918e",
   "metadata": {},
   "source": [
    "`search` finds parameters by name:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c43cb1ee",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T10:05:41.358171Z",
     "iopub.status.busy": "2026-11-01T10:05:41.357864Z",
     "iopub.status.idle": "2026-11-01T10:05:41.362338Z",
     "shell.execute_reply": "2026-11-01T10:05:41.361084Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results for 'PCM': ['PCM solid phase conductivity [W.m-1.K-1]', 'PCM liquid phase conductivity [W.m-1.K-1]', 'PCM solid phase density [kg.m-3]', 'PCM liquid phase density [kg.m-3]', 'PCM solid phase specific heat capacity [J.kg-1.K-1]', 'PCM liquid phase specific heat capacity [J.kg-1.K-1]', 'PCM latent heat [J.kg-1]', 'PCM melting temperature [K]', 'PCM melting range [K]', 'PCM smoothing width [K]']\n",
      "PCM solid phase conductivity [W.m-1.K-1] -> 0.6\n",
      "PCM liquid phase conductivity [W.m-1.K-1] -> 0.5\n",
      "PCM solid phase density [kg.m-3] -> 1400\n",
      "PCM liquid phase density [kg.m-3] -> 1300\n",
      "PCM solid phase specific heat capacity [J.kg-1.K-1] -> 2500\n",
      "PCM liquid phase specific heat capacity [J.kg-1.K-1] -> 3000\n",
      "PCM latent heat [J.kg-1] -> 250000.0\n",
      "PCM melting temperature [K] -> 333.15\n",
      "PCM melting range [K] -> 2.0\n",
      "PCM smoothing width [K] -> 0.01\n"
     ]
    }
   ],
   "source": [
    "parameter_values.search(\"PCM\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bbf5c59",
   "metadata": {},
   "source": [
    "## Changing values by hand\n",
    "\n",
    "Change a value like a dictionary entry, or several at once with `update`, then pass the\n",
    "parameter values to the simulation. `model.default_parameter_values` returns a new copy\n",
    "each time, so the defaults are never changed.\n",
    "\n",
    "Here the battery is discharged with twice the default flow (which is the total flow into the device), and with twice the flow but now spread over four tubes instead of one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "be8873c2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T10:05:41.363996Z",
     "iopub.status.busy": "2026-11-01T10:05:41.363832Z",
     "iopub.status.idle": "2026-11-01T10:05:44.464164Z",
     "shell.execute_reply": "2026-11-01T10:05:44.463096Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5940894ccf4d4d25b317c00fe4f021da",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.0, description='t', max=1.0, step=0.01), Output()), _dom_classes=('w…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t_eval = np.linspace(0, 3600, 121)\n",
    "default = pybamm.Simulation(model).solve([0, 3600], t_interp=t_eval)\n",
    "\n",
    "faster = model.default_parameter_values\n",
    "faster[\"Mass flow rate [kg.s-1]\"] = 0.04\n",
    "faster_solution = pybamm.Simulation(model, parameter_values=faster).solve(\n",
    "    [0, 3600], t_interp=t_eval\n",
    ")\n",
    "\n",
    "bigger = model.default_parameter_values\n",
    "bigger.update({\"Mass flow rate [kg.s-1]\": 0.04, \"Number of tubes\": 4})\n",
    "bigger_solution = pybamm.Simulation(model, parameter_values=bigger).solve(\n",
    "    [0, 3600], t_interp=t_eval\n",
    ")\n",
    "\n",
    "pybamm.dynamic_plot(\n",
    "    [default, faster_solution, bigger_solution],\n",
    "    [\"Outlet temperature [degC]\", \"Power [kW]\", \"Discharged energy [kWh]\"],\n",
    "    labels=[\"default\", \"twice the flow\", \"twice the flow, four tubes\"],\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c070e9d6",
   "metadata": {},
   "source": [
    "With twice the flow, the battery delivers its energy faster, but the outlet is colder and\n",
    "falls sooner. With four tubes as well, each tube carries half the default flow and the\n",
    "battery holds four times the energy, so it delivers more power for longer.\n",
    "\n",
    "## Many runs: input parameters\n",
    "\n",
    "Each `pybamm.Simulation` builds and discretises the model before solving it. To solve the\n",
    "same model for many values of a parameter, set the parameter to `\"[input]\"` and give its\n",
    "value when solving: the model is built once, and each solve is fast.\n",
    "\n",
    "Here the flow is swept to find how much energy the battery delivers while its outlet is\n",
    "still above 40 °C, hot enough for a shower."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0b828a16",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T10:05:44.468595Z",
     "iopub.status.busy": "2026-11-01T10:05:44.468352Z",
     "iopub.status.idle": "2026-11-01T10:05:48.096379Z",
     "shell.execute_reply": "2026-11-01T10:05:48.095122Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.010 kg/s: outlet above 40 degC for  68 min, delivering 2.17 kWh\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.015 kg/s: outlet above 40 degC for  45 min, delivering 2.04 kWh\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.020 kg/s: outlet above 40 degC for  34 min, delivering 1.90 kWh\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.030 kg/s: outlet above 40 degC for  22 min, delivering 1.61 kWh\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.040 kg/s: outlet above 40 degC for   7 min, delivering 0.63 kWh\n"
     ]
    }
   ],
   "source": [
    "sweep = model.default_parameter_values\n",
    "sweep[\"Mass flow rate [kg.s-1]\"] = \"[input]\"\n",
    "simulation = pybamm.Simulation(model, parameter_values=sweep)\n",
    "\n",
    "t_long = np.linspace(0, 7200, 721)\n",
    "for mass_flow_rate in [0.01, 0.015, 0.02, 0.03, 0.04]:\n",
    "    solution = simulation.solve(\n",
    "        [0, 7200], t_interp=t_long, inputs={\"Mass flow rate [kg.s-1]\": mass_flow_rate}\n",
    "    )\n",
    "    outlet = solution[\"Outlet temperature [degC]\"].entries\n",
    "    t_hot = t_long[outlet >= 40][-1]\n",
    "    useful = solution[\"Discharged energy [kWh]\"](t_hot)\n",
    "    print(\n",
    "        f\"{mass_flow_rate:.3f} kg/s: outlet above 40 degC for {t_hot / 60:3.0f} min, \"\n",
    "        f\"delivering {useful:.2f} kWh\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51beb7b4",
   "metadata": {},
   "source": [
    "The faster the flow, the less of the stored energy comes out hot: the water spends less\n",
    "time in the tube, so the PCM around it cannot keep it warm.\n",
    "\n",
    "## Composing parameter values from layers\n",
    "\n",
    "A parameter set is made of independent layers: the operation (initial state, inlet\n",
    "temperature and flow), the coupling (the heat transfer coefficient), the heat transfer\n",
    "fluid, the PCM, the metal of the fins, and the geometry of the flow path and of the\n",
    "storage element. Each layer holds its own names, so a layer can be swapped without\n",
    "touching the rest. These are the layers available:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a38ff9e0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T10:05:48.098661Z",
     "iopub.status.busy": "2026-11-01T10:05:48.098412Z",
     "iopub.status.idle": "2026-11-01T10:05:48.102953Z",
     "shell.execute_reply": "2026-11-01T10:05:48.101743Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "operation: Finned tube discharge, Nallusamy2007, Raul2018\n",
      "coupling: Finned tube default, Packed bed default\n",
      "heat_transfer_fluid: Water, Hytherm 600\n",
      "pcm: Paraffin (Nallusamy 2007), A164 (Raul 2018), PCM 10N, PCM 30, PCM 60\n",
      "metal: Aluminium, Steel, Copper\n",
      "finned_tube_flow_path: Finned tube default\n",
      "finned_tube_storage_element: Finned tube default\n",
      "packed_bed_flow_path: Nallusamy2007, Raul2018\n",
      "packed_bed_storage_element: Nallusamy2007, Raul2018, Default capsule\n"
     ]
    }
   ],
   "source": [
    "for kind in layers.KINDS:\n",
    "    print(f\"{kind}: {', '.join(layers.available(kind))}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85e00b83",
   "metadata": {},
   "source": [
    "Each family's default is a named set of layers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0cd3585f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T10:05:48.105099Z",
     "iopub.status.busy": "2026-11-01T10:05:48.104904Z",
     "iopub.status.idle": "2026-11-01T10:05:48.109948Z",
     "shell.execute_reply": "2026-11-01T10:05:48.108434Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'operation': 'Finned tube discharge',\n",
       " 'coupling': 'Finned tube default',\n",
       " 'heat_transfer_fluid': 'Water',\n",
       " 'pcm': 'PCM 60',\n",
       " 'metal': 'Aluminium',\n",
       " 'finned_tube_flow_path': 'Finned tube default',\n",
       " 'finned_tube_storage_element': 'Finned tube default'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layers.SETS[\"Finned tube default\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b483efc2",
   "metadata": {},
   "source": [
    "`swap` replaces layers of a set. Here the same battery is built with copper fins instead\n",
    "of aluminium, and with a paraffin instead of the default PCM. `pytes.energy_between` gives\n",
    "the energy each version stores between 10 °C and 70 °C, the temperatures of the discharge."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "561c4773",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T10:05:48.111901Z",
     "iopub.status.busy": "2026-11-01T10:05:48.111662Z",
     "iopub.status.idle": "2026-11-01T10:05:51.299313Z",
     "shell.execute_reply": "2026-11-01T10:05:51.298308Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default (PCM 60, aluminium): stores 2.45 kWh between 10 and 70 degC\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "copper fins: stores 2.47 kWh between 10 and 70 degC\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "paraffin: stores 1.26 kWh between 10 and 70 degC\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
      },
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       "interactive(children=(FloatSlider(value=0.0, description='t', max=1.0, step=0.01), Output()), _dom_classes=('w…"
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   ],
   "source": [
    "variants = {\n",
    "    \"default (PCM 60, aluminium)\": {},\n",
    "    \"copper fins\": {\"metal\": \"Copper\"},\n",
    "    \"paraffin\": {\"pcm\": \"Paraffin (Nallusamy 2007)\"},\n",
    "}\n",
    "solutions = []\n",
    "for label, swapped in variants.items():\n",
    "    values = layers.compose_set(\"Finned tube default\")\n",
    "    layers.swap(values, **swapped)\n",
    "    capacity = pytes.energy_between(model, 273.15 + 10, 273.15 + 70, values)\n",
    "    print(f\"{label}: stores {capacity / 3.6e6:.2f} kWh between 10 and 70 degC\")\n",
    "    solutions.append(\n",
    "        pybamm.Simulation(model, parameter_values=values).solve(\n",
    "            [0, 3600], t_interp=t_eval\n",
    "        )\n",
    "    )\n",
    "\n",
    "pybamm.dynamic_plot(\n",
    "    solutions,\n",
    "    [\"Outlet temperature [degC]\", \"Power [kW]\", \"Average liquid fraction\"],\n",
    "    labels=list(variants),\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c60e6cec",
   "metadata": {},
   "source": [
    "Copper fins change this battery little: its outlet is slightly warmer, and copper's higher\n",
    "heat capacity per unit volume stores slightly more energy. The paraffin stores about half\n",
    "the energy in the same volume, as it is less dense and has a lower latent heat, so the\n",
    "battery is spent in less than half an hour.\n",
    "\n",
    "A layer is a plain dictionary, so you can start from a registered one and change it, or\n",
    "fill in an empty one from `layers.template`. `layers.check` tells you what is missing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0b804dc2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T10:05:51.303746Z",
     "iopub.status.busy": "2026-11-01T10:05:51.303583Z",
     "iopub.status.idle": "2026-11-01T10:05:51.314324Z",
     "shell.execute_reply": "2026-11-01T10:05:51.313234Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "with a latent heat of 300 kJ/kg: 2.75 kWh\n"
     ]
    }
   ],
   "source": [
    "my_pcm = layers.get(\"pcm\", \"PCM 60\")\n",
    "my_pcm[\"PCM latent heat [J.kg-1]\"] = 300e3\n",
    "my_pcm[\"citations\"] = []\n",
    "layers.check(\"pcm\", my_pcm)\n",
    "\n",
    "values = layers.compose_set(\"Finned tube default\")\n",
    "layers.swap(values, pcm=my_pcm)\n",
    "capacity = pytes.energy_between(model, 273.15 + 10, 273.15 + 70, values)\n",
    "print(f\"with a latent heat of 300 kJ/kg: {capacity / 3.6e6:.2f} kWh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d26696d1",
   "metadata": {},
   "source": [
    "Layers also build an operation that suits a PCM, compose sets for other families and record\n",
    "the sources of every value: see the [parameter layers](../parameter_layers.ipynb) example."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00cb51bb",
   "metadata": {},
   "source": [
    "Next: [Tutorial 5: plotting](tutorial_5_plotting.ipynb)."
   ]
  }
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",
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       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f2f4c19035ee4952ab3f49f5b8cc0ccd": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_94363c10da5c4a2ebeab938ff5a91d26",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "image/png": 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S6smTJ9SvX5/cuXOzfft23Qp/OXPmpHr16rr8GzeC2MrKSi8v7927l7JlyyZarOnbb7/F3d0dMzMzhg0bRkhICJcuXUpVbMJ4JH1FLbKMuCVAk5vbG7ff3Nw83V7zxo0bhIaG0rNnz0QfXHFTFTPj3O7u7nq/29nZJbnv1b4kFStW1Pu9UqVKvHjxgmfPnuHj45Pi1y9VqlSi+M+cOcOnn37K8ePHMTMzw8rKiqioKB4+fJiixrtv8uprnjt3jpCQEDw8PBId++TJkxSf9/r16xQtWlRvqVgvLy+9UXwpea0bN24kOk+ZMmX0zmNubo5WqyUmJibRKEEhhEirTz/9lNGjR2NnZ4enpyfbtm2jcOHCPHnyhCpVqugdW61aNZYuXar7vX79+syaNQtQhaCvvvqKFy9esG/fPnLlysXz58+pV68eT548wcfHh08//ZTPP/9c75yvFqiSyhEptWPHDv766y/27dtH3bp19R579913sba2Zu/evdSoUYPAwECqV6+OpaUluXLl4tSpUzx+/BitVpvo7rQQQqSnuKlccdcjCVlbW/Ppp5/SunVr2rZtS4MGDWjTpg358+fnyZMn+Pn5UatWrdee/9XvnPb29nrf62/cuMHw4cPZv38/Wq0Wa2trgoKCEi1g8ern8Y0bN7C0tKRs2bJ65y5atKju97hRUzVq1EgUV9xNgevXryc6T9yUveSk5LxxXvf+U3OepN5/2bJl9W6+v3p9ZGNjQ48ePVi0aBGdO3fm6NGjXLt2jb59+yb73pLTrl07KlasyNq1axNdkzZs2JAlS5YA8SOIQd1QWr9+PWPGjGHv3r1J3ohJ+PdjY2ODlZVVkv0ohWmQwlUWV7RoUaytrbly5UqSj1+9ehVzc3NKlCgBkGSF/E3N15Ozb98+KlWqlKbnpse5k3ovKbkD8GrT9LipIAk/vFPy+q8WXbRaLe+99x6dO3dmw4YN5M6dm9jYWHLmzPnGJvAp/XdJqtBTqFAh3Z33tDI3N0/09xIbG5sohje9loWFRaLzaLVavfN4enqi1Wq5du1aoiQphBBptWDBAnr27Km3L24Ri1c/g6Ojo/U+8+vXr8+QIUO4cuUKFy9epG7dujx//py///6bXLlyUbZsWfLmzasr0q9atYoWLVq8Np63KcxXrVoVHx8fpk2bRo0aNbC2ttY9ZmNjQ82aNdm7dy+hoaHUqlVL91p169Zl7969PH78mHLlypE3b940xyCEEG9y5coV3N3dk/28mzFjBgMHDmTHjh2sW7eOESNGsHbtWipXrgy8uan2m77Xd+vWDS8vL7y9vXF2dgagcOHCiT7zX43PwsJC9z03YSHl1edpNBoePXqU7EqJ5ubmKTpPUu/rdedNeFx6nCep95/c9VBCAwYMoFKlSjx8+JBFixbRqFGjRIMEUqJv377MnTuX3bt307RpU73HGjRowJQpU7h79y779u3jk08+AVTh6vPPP8fX15eLFy8yadKkROdN7cgvYdxkqmAWZ2NjQ8eOHVmwYEGiVeYiIyOZO3cubdu2xcHBAQAnJ6dE/a6uXr2q97uVlVWSK+LF8fT0xN7enk2bNr02tjedJ6ljUnrut/HqEOOjR49SqFAhcufO/Vav7+fnx6NHjxg0aBC5c+cG4PTp04mGTyf195KSf5ekVK9enfv373P+/PlUx5uQl5cXd+7c0RuldeLECb04U/JaZcuW5c6dOzx9+lS379SpU3rnad68Ofny5Us0JDnO61ZNEUKI1MiVKxceHh4cOXJEb/+hQ4fw8vLS/R7X52rKlCmUK1eO3Llz06BBAw4fPsyuXbt0d4Dz5cuHh4dHhuYogDx58rB7924ePXrE+++/nyiPxK3ElLD3Fqgv+nH7ZZqgECIj+fr6snLlSr2pzEkpWbIkw4YNY+vWrbRs2ZJFixbh7OyMh4dHmhYTihMTE8O5c+fo16+frmjl7e2daLRVUsqUKUNMTAynTp3S7Xv69Cl3797V/V6tWjUA3eJCSSlbtiyxsbG6vl2g/l4SnudVKTlvSrzNecqWLcuFCxf0Vhh8tbUKqMbuVapU4eeff2blypX069cvTbEOGDCAWbNm0a5dO3bu3Kn32DvvvIONjQ3z5s0jODiY6tWrAyov29raMmPGDDQajYwgzgakcJUN/PDDD9jZ2dG0aVMOHjzI06dPOX78OC1btiQ2NlZvvnjDhg1Zvnw5R48exdvbm/HjxydqIFi0aFFOnjzJgwcP8Pf3TzTqxsrKismTJzNt2jTmzZuHt7c3Fy5cYNq0aYwfPz7F50nqGAsLixSd+21cunSJMWPGcO/ePTZt2sS0adMYNWpUqt5bUvLly0eBAgWYPXs2Dx8+5NChQ3zwwQdvfM+xsbEp+ndJSrNmzahfvz6dO3dmx44dPHr0iIMHD9KnTx+95o0pOY+npycffPAB165d4/Tp0wwePDjVr9W8eXNKlChB3759uX79OmfOnOGjjz7SO0+OHDn4888/2bBhAx9++CFnzpzhyZMnnD59mhkzZqRpCLIQQiTniy++YObMmaxZs4b79+/z3XffsWfPnkSrM9WrV4/Vq1frGpp7eHjg7OzMli1b9L4wf/vttyxcuJCpU6fqmgXPnTs30Wfd28qbNy+7d+/m4cOHeot8gCpc3b9/n82bNycqXB04cIBLly5JY3YhRLqJjY3F39+fly9fcvv2bZYsWcK7775LsWLFmDBhQpLP8fb2pnnz5uzcuZPHjx9z8uRJTp8+rZtWN3nyZGbPns28efO4f/8+hw8f1lvN9U3Mzc0pW7YsP//8M/fv3+f06dN06dIlRTdAixUrRrt27fjoo484c+YM169fp2/fvnqrjBcpUoSBAwcydOhQVq5cycOHDzl58iSjRo1iwYIFgPpO36FDBwYPHszp06e5du0affr0ee1IspScNyXe5jzdunXDxsaGQYMGcfv2bY4cOZJo+nuc/v37M336dMzNzVP17/OqgQMH8sMPP9CuXTu9axRra2veeecdfv75Z70RxKBGEf/8889UqFABR0fHNL+2MA0yVTAbyJcvH8ePH2f69Ol89NFH+Pn5kTdvXlq1asWKFSv0pgoMHz4cHx8funfvTs6cOWnXrh19+vQhZ86cesdcvnyZmjVrEhISwtGjR7G1tdU7ZsSIERQoUICffvqJKVOm4OLiQqtWrXRLrCZ3nldX0EvqmJScO1euXHoNFJPbZ2dnl6hB4sCBAwkICKBp06ZERUUxYsQI3bDUlL63pF7LzMyM9evX8/nnn1OlShVcXFz49NNP+frrr/V6nyT1nlPy75LUa2o0GrZs2cL//vc/Pv30U16+fEmpUqXo378/jRs35nWCgoIICgrCzs4OMzMzNm7cyNChQ6lfvz7u7u6MGTOG8ePH6xJISl7LzMyMTZs2MWzYMOrVq4e7uzsjR46kf//+ev8OTZs21RWqunbtSkBAAO7u7jRq1EhvtZiAgABCQkJe+z6EENmbRqPBwcEh2Sbo/fv3JzIykilTpuDr60vJkiXZsmULFSpU0DuuadOm7NixQ2+1pObNm7Ny5Urd8umgvvA7ODgwY8YMXWPfJk2aMHnyZN0xOXPmfOOI4ziRkZH4+/tjZ2eHubm53nPjilctW7bkww8/ZMmSJZibm1OzZk1dk9q4u9OgRhEULFiQly9f6sUMqnFxeHi4jGoVQqRKjhw5ePHiBR4eHlhYWGBvb4+npyejR4+mb9++ep+9OXPm1E1bc3d359NPP+WHH37g4sWLODo60rNnT92N4N69e2Nra8vMmTP5+uuv8fT0ZMqUKXrnevVz1MbGBjs7O93vK1asYPjw4VSvXp08efLQt29fYmJi9KZXJ/d5vGjRIoYPH06rVq3Inz8/3bt3x9vbW+/76s8//4ynpyffffcdjx49wsPDg65du+rdmP7tt98YPnw4rVu31p0nOjr6tQ3aU3Jee3t7vfcBia8F0nqeHDlysH37doYPH07t2rUpVqwYEydOpHfv3oni7tatGyNGjKB79+6vfU9xAgMDyZEjB7a2tpiZmeHg4KCbRjl48GC0Wi19+vRh7dq1vPPOO4C6OX7mzJlE0wgbN27Mrl27Ek3Nf/W8cXLnzq1X+PL399cbVSaMm0Yr31CE0GnevDleXl7MmDHD0KEYzJMnT3SrUJYrV46DBw9m6OtdunSJcuXKcevWrVSvJOju7k5AQAA2Njb4+vpmUIRCCGEYPXr00E3z+Pfff9NlEY/kTJ48WbeS4s8//0z37t0z7LWEEMLUBAQEULBgQVatWkWrVq0MHU6m+/fff2nWrBkvX77UW2Tp5s2blCpVilOnTul6kyXl4sWL1KlTB1AFpzVr1mR4zK8TERGhu8FTuHBhLly4YNB4xJtJ4UqIBKRwlfG+/fZbihcvTq1atbh//z7Dhg3D3t7+rfoYCCGEEEIIkV4WL15MZGQkzZo1IyAggC+++IJLly5x/fr1RCOUsqKxY8fy7rvvUrlyZa5du8aQIUOoXLkyf//9N6Catb98+ZKPP/6YJ0+esG/fPsMGLLI86XElRAJJTbcT6atPnz5s2LCB2rVrM2DAAGrXrs2GDRsMHZYQQgghhBAAdOzYkYsXL9K0aVM6duyIo6Mjhw8fzhZFK4B+/fqxePFi3nnnHUaOHEnHjh1ZvHix7vH9+/dTqlQpHjx4wMKFCw0YqcguZMSVEEIIIYQQQgghhDBKMuJKCCGEEEIIIYQQQhglKVwJIYQQQgghhBBCCKMkhSshhBBCCCGEEEIIYZQsDB1AUmJjY/Hx8cHOzg6NRmPocIQQItvQarUEBQVRsGBBzMyM+96G5AohhDAMyRVCCCHeJD1zhVEWrnx8fHBzczN0GEIIkW09ePAAV1dXQ4fxWpIrhBDCsCRXCCGEeJP0yBVGWbiys7MD1Bu0t7c3cDRCCJF9BAYG4ubmpvscNmaSK4QQwjAkVwghhHiT9MwVRlm4ihvGa29vLwlGCCEMwBSmU0iuEEIIw5JcIYQQ4k3SI1cY9aT0yMhIQ4cghBDCyEmuEEII8SaSK4QQwnQZdeEqKirK0CEIIYQwcpIrhBBCvInkCiGEMF1GOVVQCCGEEEIIIXbv3s3atWt58uQJBQsWpHv37tSsWdPQYQkhhMhEqRpxVb9+fVxdXRNt/fr10ztu165dNGzYkGLFitG8eXOOHz+erkELIYQQQgghsraFCxfSokUL8ufPT9euXbGysuLdd99l48aNhg5NCCFEJkpV4WrlypUcO3ZMt61evZpHjx7xzjvv6I45evQorVq1onHjxqxfv56yZcvSsGFDrl+/nu7BCyGEMD4hISEsXLiQypUro9FoWLZsWZLHLV26lJIlS2JtbY2XlxebNm3K5EiFEEIYs+XLl9O1a1e++uorOnbsyIwZM2jYsCF//fWXoUMTQgiRiVJVuMqfP7/eSKtdu3aRK1cuunbtqjtm6tSpNGzYkPHjx1OuXDlmzpxJkSJFmDlzZroHL4QQwvgsXryY48ePs3DhwmSP2b59Ox9++CFffvklvr6+9OvXj/bt23P69OlMjFQIIYQx8/T05ObNm8TExAAQGhrKvXv3KFOmjIEjE0IIkZnS3Jxdq9WyePFiunbtip2dnW7//v37adKkid6xzZs358CBA2mPUgghhMkYOnQov/32G1WqVEn2mBkzZtCmTRt69+6No6MjI0eOpGLFisyaNSvzAhVCCGHUfvjhBypUqEDRokVp0qQJJUqUoFOnTowfPz7Z50RERBAYGKi3CSGEyHzpuShGmgtXu3fv5t69ewwYMEC3LygoiMDAQAoUKKB3bP78+Xn06FGy50ouwYSFhaU1PCGEEEZKq9Vy7Ngx6tevr7e/UaNGHDlyJNXnk1whhBBZ065du1i1ahW9e/dmwIABdOnShV9//fW1/XOnTp2Kg4ODbnNzc8vEiIUQQly9epW+fftSr169dDtnmgtXv//+O+XLl6d69eq6fbGxsQBYWOgvVmhpaakb4puU5BLM0KFDX/s8IYQQpicoKIiQkBCcnZ319ufLlw9fX99kn5fcTQ7JFUIIkTUNGTKEQYMG8fXXX9O5c2d++OEHWrduzYgRI5J9zrhx4wgICNBtDx48ACBHjhyZFLUQQmRvy5cv548//uDy5cvpds40Fa5evHjBP//8ozfaCsDOzg5ra2uePXumt//Zs2eJLlASSi7BbNu2jREjRqDVatMSphBCCBOi1WrRaDTJPp7cTQ7JFUIIkfXExMTw5MkTihUrpre/ePHir53JYW1tjb29vd4GYGaW5vv1QgghkqHVatmxY4feSNhPPvmEzp07s3v37nR7nTR9gi9fvhwzMzN69uypfzIzM6pWrcrhw4f19h88eFBvZNarkkswAD/99BOzZ89OS5hCCCGMkJ2dHba2tjx9+lRv/9OnT8mfP3+yz0vuJgdIrhBCiKzG3NycKlWqsGLFCiIjIwG1au3atWupUaOGgaMTQojsLSYmhjVr1lC1alWaN2/O2LFjdY/ly5ePlStXUrVq1XR7vTQVrn7//Xc6duxI7ty5Ez328ccf888//7Bnzx4AVq9ezaFDhxgyZEiqX2fyf2/+888/l+buQgiRRWg0GmrWrMnevXv19u/Zs4datWol+7zkbnJMnjwZkFwhhBBZzW+//cajR48oWrQojRo1okiRIpiZmaXpRkVc8UsIIUTaRUVFsWTJEsqWLUunTp04c+YMOXPmpGLFikRHR2fY61q8+RB9p06d4vz588ydOzfJx7t168a9e/do164dsbGxWFtb88svv9CgQYNUB9e/VStuPnzIsmXL6Ny5M2fPnsXFxSXV5xFCCGFcPv/8c9q0acPSpUtp06YNf/zxB2fPnuWXX35J9bn69+/PzZs3JVcIIUQW4+XlxaVLl7h69Sp+fn4UKlSIUqVKvXZaeXLSc3UrIYTIjlavXs2oUaPw9vYGIHfu3HzyyScMGzaMvHnzZuhrp3rEVenSpXnw4AF16tRJ9phx48bx4sUL7t69y5MnTxg4cGCagtO8eMH8+fPx8vIib968hIaGpuk8QgghMs+///6LRqPRXVj06tULjUZD//79dcc0b96c33//na+//poCBQrw+++/s3btWqpUqZLq19NoNJIrhBAiizI3N8fLy4tGjRrh6emZpqKVEEKItxcWFoa3tzf58+fnu+++4/79+0yePDnDi1aQhhFXtra22NravvnEFhavbcieIs+fY2try5YtW8iTJ4/udSMiIrC2tn67cwshhMgQjRs3TlGj9N69e9O7d+90eU3JFUIIIYQQQqSPwMBA5s2bR6FChXTf17t160ZkZCQ9evTI9JVajXp5De2z5wAULlxYr1jWq1cvWrRowYkTJwwVmhBCCCMRVyOTXCGEEEIIIUTa+fv7M3nyZNzd3Rk/fjxffvmlrkegpaUl/fv3z/SiFRh54Urz4nmifT4+Pqxfv57t27dTo0YNWrduzalTpwwQnRBCCGOQ1KwRyRVCCCGEEEKkzIsXL5g4cSLu7u5MmjQJf39/PD09+fbbbzEzM3zZyPARvM7Ll4l2FSxYkKtXr9KnTx/MzMzYsmUL1apVo02bNnJRIoQQApBcIYQQQgghREosW7YMd3d3vv76awIDA/Hy8mLFihVcunSJnj17YmGR6g5T6c6oC1eRTxIXrgCKFSvGH3/8wbVr1+jVqxdmZmZs3ryZatWqsWbNmkyOUgghhCElt8K55AohhBBCCCFer0SJEgQHB1OhQgXWrl3L+fPn6dKlC+bm5oYOTceoC1d+PpavfbxEiRIsXbqUq1ev0qtXL1xcXGjRooXu8YCAgIwOUQghhIH5+dm89nHJFUIIIWxsXp8rhBAiO3j27Bnjxo3jyy+/1O2rUaMGBw8e5MyZM7Rv394opga+yvgiSiDWP2VLmpcsWZKlS5dy48YNXWPe2NhY6tSpQ6NGjdi7d2+KVrgSQghhemJjU3Y3SHKFEEJkX8Y0ckAIITLb8+fPGTduHB4eHkybNo2ZM2fi5+ene7x27dpGWbCKY7yRAWVCTqbq+Fy5cul+Pn/+PFevXmXPnj00bNiQ2rVrs2XLFrkoEUKILKZMmdQdL7lCCCGEEEJkBy9evOCLL77QFaxCQkKoXLkyq1atIl++fIYOL8WMunAV+exZmp9bqVIlbt26xccff4y1tTVHjhyhdevWVKxYkb///pvo6Oh0jFQIIYShRCbX5CoFJFcIIUT28Da5QgghTNG2bdvw8PDg22+/JTg4mEqVKrFhwwZOnTpFmzZt0CS1NLeRMurCVVR4OISmbLpgUtzd3fnpp5+4e/cuo0aNIleuXFy4cIHu3buzf//+dIxUCCGEoURFRb3V8yVXCCFE1ve2uUIIIUxNxYoViYqKonz58vzzzz+cPn2a9957z6QKVnGMunB1lgrw9Olbn8fFxYXp06fj7e3NlClTaNy4MQ0bNtQ9vnPnTh4/fvzWryOEECLznT2bPueRXCGEEEIIIUxRSEgI3333Hb169dLtc3Fx4cSJE5w9e5Z27dqZZMEqjlEXru5SJF0KV3GcnJyYMGECu3bt0v2jBQcH06VLFzw8POjbty9n0+sKSAghRKa4ezd9zye5QgghhBBCmILw8HBmz55N0aJFGTt2LMuWLePEiRO6x8uVK2fUTddTyqjfQRkup2vhKim+vr6ULVuWyMhI/vjjDypXrkydOnVYvXq1DCkWQggTkNrm7GkhuUIIIYQQQhiLqKgoFixYQPHixRkxYgRPnjyhaNGiLFmyhMqVKxs6vHRn1IUrT27CWzRoT4nixYtz6NAhjhw5QteuXbGwsODQoUN07twZDw8Pdu7cmaGvL4QQ4u14emb8a0iuEEIIIYQQxuD69et4enoyePBgHj16hKurKwsWLODatWv07t0bCwsLQ4eY7oy6cAVk+IirOO+88w5///033t7eTJgwgfz58/P48WOKFSumO+b58+fExMRkSjxCCCGMj+QKIYQQQghhSB4eHkRHR5M/f37mzJnDzZs3GThwIJaWloYOLcMYdeEqALtMK1zFKViwIFOmTOH+/fv8+++/ehcj/fv3p2jRokyePJn79+9nalxCCCGSFhCQ+a8puUIIIYQQQmQ0rVbL9u3b6dKlC9HR0QBYW1uzadMmbt++zbBhw7CxsTFwlBnPqAtXCxma6YWrOFZWVnqrSYWGhnL48GHu37/PpEmT8PDwoGnTpixbtoyQkBCDxCiEEAIWLjRcspZcIYQQpiE7XNgJIbKWw4cPU79+fVq0aMGqVatYunSp7rHy5ctja2trwOgyl1EXrrRYGqxw9aqcOXPi7e3N8uXLadCgAVqtll27dtGrVy/y58/P//73P0OHKIQQ2ZJWa27oEHQkVwghhHEyNzeeXCGEEK9z/vx5WrduTe3atTlw4ADW1taMHDmSNm3aGDo0gzHqwtUkphhN4QogR44cdO/enT179nDr1i0mTZpEsWLFCAkJIXfu3Lrjnj9/zr59+6THiRBCZIJJkwwdgT7JFUIIIYQQIrXCwsLo3r07FStWZMuWLZibmzNgwABu3brFzJkzcXZ2NnSIBmPUhasoyPBVBdOqWLFifPXVV9y8eZMjR47QrVs33WNr1qyhQYMGFCxYkMGDB7Nz505ZLl0IITKIMX++Sq4QQgjjIJ+vQghjZ2Njg4+PDwBdunThypUr/Prrr7i6uho4MsMz6sJVJBjViKukaDQa3nnnHZycnHT7QkJCcHR05MmTJyxYsIBmzZqRL18+evTowcqVKwkLCzNgxEIIkbVERkYaOoQ3klwhhBCGZQq5QgiRvfj7+zNx4kSeP38OqO+Lc+bM4cyZM6xYsYKSJUsaOELjYdSFq8X0AX9/MLE7JCNHjsTPz48dO3YwcOBA8uXLh7+/P3/99Rc9evQgPDxcd+zTp0+JjY01YLRCCGHaFi82dARpI7lCCCGEECL7CQsL4/vvv6do0aJ8/fXXfPfdd7rHypcvT6VKlQwYnXEy6sLVLpqqH4x0uuDrWFpa0rRpUxYsWICPjw8HDhxg1KhR9OnTB0dHR91xbdq0wcXFhZ49e7JkyRK8vb0NGLUQQpieXbsMHUHaSa4QQgghhMgeoqOjWbRoESVLlmT06NG8fPmSMmXKULduXUOHZvQ0Wq1Wa+ggXhUYGIiDgwNzbXsxNORPOH8eypc3dFjpLiQkBBcXF4KCgvT2u7u7U69ePVq1akXnzp0NFJ0QIjuK+/wNCAjA3t7e0OG8li5XzPVh6FAXQ4eTYSRXCCGMjSnmCh8fH1xcsm6uEEIYt02bNjF27FiuXLkCgJubG1OmTKFXr15ZdtXT9MwVFml50rlz59i+fTsajYb27dtTokQJvceDgoL4+++/8fb2pkSJEnTt2hUbG5tUv04Hl6NwC5MccZUStra2PHv2jKNHj7Jz5052797NqVOn8Pb2ZunSpURGRuouRmJjY5k5cyZVq1alcuXKODg4GDh6IYQwDh06GDqCjCW5QgghhBDCtG3evJkrV67g5OTE+PHj+fjjj9NUI8muUj3iaty4cfz000/06dMHZ2dnNmzYwOzZs6lTpw4Az5490zWgbdy4MRs3bsTKyooDBw5ga2ubotfQ3RmpUQOX48dhxQro0iX1784EBQcHc+TIEQ4cOEC1atVo27YtAFevXqVMmTK640qUKEHlypWpVKkSFStWpGrVquTJk8dQYQshsgi5i24aJFcIIQxJcoUQQrze1atXsbS0pHjx4gD4+Pgwb948Ro0aRe7cuQ0bXCZJz1yRqsLV+vXr6dChAwcPHqRWrVoARERE4OfnR+HChQEYMWIEW7du5fz58+TIkYMXL15QsmRJRo0axZgxY1L0OnFv8FLjTpT9dzXMnQtDh6bh7WUdly9fZtKkSZw4cYL79+8nenzy5MlMnDgRAD8/PzZs2ICnpyelSpUiX758aDSazA5ZCGGCTPFi5NIlH8qWlYsRkFwhhMgcppgrpHAlhMgMPj4+fPXVVyxatIhWrVqxceNGQ4dkMAabKvjTTz/RtGlTXdEKwNraWle0AlXc6tGjBzly5ADAycmJNm3asH79+hQXruI0O/ItD1kNT5+m6nlZUdmyZVm9ejWgRrWdPn2as2fP6raKFSvqjj1x4gSDBg3S/W5vb0+JEiUoUaIExYsXp1OnTpTPgj3DhBDZU7Nm1jx8aOgojIPkCiGESJq1tbWhQxBCZGGBgYFMnz6dH374gbCwMADMzc2JiIiQz590kKrC1cmTJxkzZgy7d+9m37595MuXj9atW1OkSBFAjb7y9vamWLFies8rVqzYayuNERERRERE6H4PDAwEIFybU+2QwpWevHnz0qxZM5o1a5bk47ly5aJFixZcvXoVb29vAgMDOX36NKdPnwbAy8tLdzGydetWhgwZgru7u25zc3OjcOHCuLm5UaRIEXLmzJlp700IIVIrPDxN7RqzPMkVQggRz8JCcoUQIv1FRkby66+/MnnyZJ7915u7Vq1aTJ8+nXfffdfA0WUdKf4E12q1BAYGsnLlSjZv3kyzZs04dOgQo0ePZvXq1bRu3ZrQ0FCARMPAHBwcCAkJSfbcU6dOZfLkyYn23/pqGYwF7t1LaZgCaNCgAQ0aNAAgPDycO3fucOPGDW7dusWtW7f07rjfvn0bb2/vZJdWX7lypa7p7969e5kzZw7Ozs7ky5cv0VakSJEU9zETQoj0cuuWoSMwTZIrhBBCCCHezqJFixg2bBgApUqVYurUqbRr107aL6SzFBeuNBoNtra2REZGcvr0ad1diwEDBvDZZ5/RunVrbG1t0Wg0+Pv76z3X398fOzu7ZM89btw4Ro4cqfs9MDAQNzc3YqpWUTu2bYPdu6FRo1S8NQFgY2NDmTJl9Jr1JtSjRw+qVKmiuyB58OAB9+/fx9vbm4cPH+Lm5qY79sqVK6xfvz7Z11q7di3t27cHYOfOnUyfPh1nZ2ccHR11W+7cucmdOze1atWiYMGCAERFRQFgaWmZTu9aCJGdxMREGToEkye5QgiR1cV9hgghxNsKCgrS1Tc++OAD/vjjDz744AP69+8vozszSKr+VsuWLUuxYsX0/jGqVavGkiVL0Gq1WFlZUaxYMa5fv673vGvXrlG6dOlkz2ttbZ3kvM/IMmVgyBD4+Wf48EO4eBFeUwATqefk5EStWrX0+pYllLB3f4MGDfj55595+vQpT548wc/PT+/n/Pnz6469ceMGu3fvTvZ1169fr1sFa/Xq1fTo0QNbW1ucnJxwdHTEyclJ9/PgwYOpWrUqoJrdXbhwQXdRE7fJUqJCZF+RkZGGDiHLk1whhDB1kiuEEG/rxo0bjB07lhs3bnDu3DksLCywsbHh6NGjMsIqg6WqcNW1a1fmzJlDWFiYrvn6nj17KFeunO4fqlOnTixfvpwvv/wSBwcHHj16xObNm/nmm29SHdzEiTB36nfYbN2qpguOHQvz5qX6PCLtEv4P+Lq78a9q3rw5y5Yt49mzZ7x8+ZIXL17w8uVL/P398ff3191BB3j58iUAISEhhISE8ODBA71ztWnTRncxsm/fPnr06JHo9aysrHB0dOTnn3/W3cm/dOkSf/75J3nz5tVtefLk0W2Ojo6Ym5un7i9ECJFu1q5dy9q1a3ny5AkFCxakR48eyfZjep2JE9Xis1KTMBzJFUIIIYTIqp4+fcqUKVOYP38+0dHRmJmZcfToUerUqQMgRatMkKrC1ccff8yOHTuoWLEijRo14vLly1y9epXNmzfrjhk7diw7d+6kWrVq1KlTh127dlG9enW9lYtS6rffYOrUXNj89hs0bqxGXnXsCP/15BDGq3jx4hQvXjxFxw4ePJiuXbvy8uVL3YXL8+fP8ff35+XLl3h5eemOzZkzJ5UqVdI9FhAQgFarJTIyEj8/P72LiwsXLjB9+vRkX3fx4sV88MEHABw9epQpU6aQJ08enJycyJMnD3nz5iV//vzkz5+fMmXKkCdPnrT9ZQghEpk1axbjxo1j2rRplC1blmPHjtGyZUuWL19O165dU3UulSukcGWKJFcIIYQQwliFhYUxZ84cvv32W90Ccq1ateK7776jbNmyBo4ue0lV4crKyopt27bx77//cv36dRo1akTjxo1xcHDQHWNvb8/Ro0fZunUr9+/fp1OnTjRt2hQzM7NUBzd0KFhZoXpbDRoECxZAly5w/Dj8t5KhMH3m5ua6O9tv0q5dO9q1a6f7PTY2luDgYN3Fibu7u+6xEiVKMGLECJ4/f86zZ894+vQpz58/5/nz5wQGBuLk5KQ79s6dO2zfvj3Z1/3999/p168fAIcOHeKzzz6jQIEC5M+fP1HjYS8vL/Lly5eGvwkhso9169bRtWtXhg8fDkDjxo05dOgQ//zzT6oLV7pcIbI0yRVCCCGEyCw+Pj6888473L9/H4BKlSoxY8YMGjZsaODIsqdUdw7TaDQ0adKEJk2aJHuMpaWlrifF2xg/HnQLFM6cCSdOwNmz0Lo1HDkCCQpmInsyMzPD3t4ee3t7ChcurPdYtWrVqFatWpLPe7VB5zvvvMPixYt1FytxFzB+fn74+fnh6uqqO/bu3bucOHEi2ZgS3p3fu3cvQ4cOxcXFhYIFC1KwYEFcXV1xdXWlUKFClCxZUq/wK0R2UblyZQ4cOEB4eDg2Njb4+/tz7do1hgwZkupz6eUKIZIguUIIIYQQqeHi4oK7uztarZb//e9/9OjRI02DcUT6MJ2W97a2sGkTVK8OV65A586wZQtI136RBq+uSlW0aFGKFi2aouc2bNiQ9evX4+vrq2s2nLD5cMILlwcPHnDlyhWuXLmS5LkWLVpE3759AThx4gTTp0+nUKFCFCxYUPdn3IWMvb29zJ8WWcb06dP57LPPcHV1pUiRIty6dYsRI0YwatSoZJ8TERFBRESE7ve4IdtCZBTJFUIIIUT2cOPGDb7++mvmzJmDo6MjGo2G5cuXkzdvXl1/b2E4Rl31CQuD6OgEtalChVTxqk4d2LkTBgyA338HqXyKTFSoUCEKFSqUomObN2/Ozp07efz4MY8fP+bRo0c8fPiQhw8f8ujRI70l5C9fvszatWuTPdeSJUvo3bs3oJabX7VqFR4eHhQpUgQPDw9cXV2lgbAwGWvWrOHPP/9kwoQJlCtXjmPHjvHDDz9Qq1atZEf0Tp06lcmTJyfanyhXCGEEJFcIIYQQxu/58+dMnjyZX375hejoaPLnz8+MGTMA9PKvMCyNNuEa1kYiMDDwvyHxz9m3z4l69V45YONGaN8eYmJgyBD46SeQu4vCxF27do2dO3fi4+ODj48Pjx494vHjx/j4+BAQEMDOnTt1F/SLFy/W9VGJY2FhQeHChSlSpAhfffWVbpWLgIAAAgMDKViwoFysiDeK+/wNCAjAPgPn3+XLl4+PPvpIrxA1cOBAjh8/zvnz55N8TlIjrtQXimRyhRBZkOQKYQwyK1ekh7hYnz9/rtezTgiRvUVERPDTTz/xzTff4O/vD0Dr1q2ZPn06pUuXNmxwWUR65gojvz9tQXh4Ervfew+WLIFevdRKgzlywPffS/FKmDRPT088PT2TfCw0NBSLBMNJihUrxoABA7h79y737t3D29ubqKgo7ty5w507dxg7dqzu2HXr1tGvXz8sLCxwdXWlcOHCuLu74+7uTtGiRWnatGmKRwUIkR5iYmLw9/fXmyoF4OrqytatW5N9nrW1NdbW1kk8kkyuECILklwhRNpYyLBcIcR/1q5dy+jRo7lz5w4AFSpUYObMmTRq1MjAkYnkGPUn+MOHUKBAMg/26KHmhwwYoBq3x8bCjBkybVBkSTlz5tT7vW7dutStW1f3e0xMDD4+Pty9e5e7d+9SoUIF3WP+/v5YWFgQHR3NvXv3uHfvnt65du7cqbsY2bFjB0uXLqVUqVK6rUSJEtja2mbcmxPZjrm5Oe+88w5LliyhW7du5MqVixcvXrBixQpq166d6vO9NlcIkY1IrhBCCCHebNu2bdy5cwcXFxe++eYb+vTpI6ONjZxRTxVM0ZDen36CYcPUzz16wKJFsi66EK+Iu1h58OAB3t7euu3OnTv8+uuvuqXhJ06cyNdff53o+a6urpQqVYrZs2dTtmxZAIKCgrCyskpmBIwwVZk1/ePWrVt0796dmzdvUrRoUW7cuEG1atX466+/KJDCKpRM/xAifUmuECmVmVMFY2NjWbFiBVu3bkWj0dC9e3datGiR4udLrhBCPHz4kJiYGF0ee/z4MQsXLmTkyJHkypXLwNFlXdlmqmDCXibJGjoUHBygXz9YvhyePIE1a2RtdCESMDc3x83NDTc3N2rVqpXsca1btyZnzpzcuHGD69evc/36dZ4/f65rEmxjY6M79ocffmDKlCm4ublRvHhxihcvTpkyZShXrhzlypUjb968mfHWhIkqXrw4J06c4OHDh/j5+VGoUKEUF6xelaJcIYR4I8kVwtjExsby/vvvc/78ecaOHYuzszPz588nOjqaNm3apOpckiuEyH6Cg4OZPn06M2bMoEmTJmzYsAEAFxcXJk6caODoRGoYdeFq2jTo0gVe891J6dULnJ2hY0fYtQuqV4d166BMmUyJU4isonr16lSvXl1v3/Pnz7l+/To3b97U3aUA8Pb2JjY2VndHfvfu3XrPu3z5MmX++3/w+vXrREdHU6pUKekxIfS4urom6nWVWinOFUKIdCG5QmSWX3/9lZ07d3L58mWKFi0KQIcOHQgMDDRwZEIIYxYbG8vSpUsZP348jx8/BuDly5eEhITItHYTZdRTBcGHmTNdGDkyhU88dQref181PLG1VdMGO3fOyFCFyLa0Wi1+fn7cvn2b27dvc/36dS5dusTFixfx8fEhKCgIS0tLAD744AOWLFmClZUVZcuWpXz58pQrVw4vLy+8vLwoWLAgGllcwSiY4kpRqc4VQohMI7kia8qsXFGjRg08PDxYuXJlms8RF6uPjw8uLi7pGJ0QwhgdPHiQESNGcObMGQCKFi3K9OnTad++veSQTJZtpgr26wcVK6biCVWrwunT0K0b7NmjbsFv3gw//AAyFF2IdKXRaChQoAAFChTg3Xff1XssNDRUdyECYGZmRq5cuQgODubs2bOcPXtW7zzBwcG6psJ79+4FkCkkIsVSnSuEEJlGcoV4GxcvXqRDhw7MmTOHvXv3ki9fPjp06EDTpk2TfU5ERITetEAZnSVE9rFu3To6dOgAgL29PV9++SWffPKJ9FnMAox6xFWa74xER8PEiWr+iFarilazZkH37iBVViEMIjY2lnv37nHx4kUuXLjAhQsXuHTpEgBXr17VHVe7dm0OHz4MqGlkNWvWpEaNGtSsWZMqVaqQI0cOg8SfXZjiiCu5iy5E1iG5wjRkRq7QarWYm5vj7OxMq1ataNWqFVeuXOHbb79lxowZfPzxx0k+b9KkSUyePDnRfskVQmR94eHheHl50bhxY6ZMmUK+fPkMHVK2lp65ImsWruIcPw79+8N/X3ioUUMVs+rXT5c4hRBvLyYmRm/52d69e3P48GHu3LmT6FhXV1cePHig+93X15f8+fPLsN90JIUrIYQxklxhXDIrVzg6OlKqVCmOHTum2zdmzBj++usvvX/jhJIaceXm5ia5QogsJiYmhiVLluhWHY3rjRgWFiY3L4xEtpkqqNVCTAwk+J6SOjVqqKmD06fD1KmqkNWgATRtCp9/Do0bywgsIQzM/JX/wZcuXQqoJdTPnDnDsWPHOHr0KMePH6dy5cq647RaLZUqVSI8PJxq1arptqpVq1KoUCG5QMlG3jpXCCGMnuSK7KlSpUqJRkwUKVKEZ8+eodVqk/z3s7a2lmlBQmRxBw4cYMSIEbop5cuXL6dPnz4AUrTKoox6xBU848MP8/Dbb+lwUl9f+OYbWLBATSUEKF0aPv5YrUaYP386vIgQIqNotVpCQ0N1K4E8efIEd3d3wsPDEx2bP39++vTpw3fffZfZYZo8Uxxxla65Qghh0iRXZI7MyhXLly9nxIgRnDt3jkKFChEREUHz5s2xsLBg165dqYr12bNn5MmTJ8NiFUJkvLt37zJ69GjWrFkDgIODAxMnTmTo0KFYWVkZODrxqvTMFWbpFFMGsSSJ7xlpU6AA/PQTXLsGw4ZBrlxw9SoMHQouLlCvnuqDdeWKun0vhDAqGo1Gb/nafPnyERgYyJkzZ5g/fz79+vWjfPnymJub4+fnR2RkpO7Y4OBgSpUqRZ8+ffjjjz+SnV4gTFU65gohhEmTXJG19OjRg169elGmTBnq1q1L0aJFCQoKYuHChak+V8KFAIQQpiUyMpLx48dTunRp1qxZg5mZGYMHD+bmzZuMHDlSilbZgFGPuLp+PYCCBe3JlStDXgT++AOWLYOTJ/UfK1gQGjaEd99VW9myYGbkNT4hBKDmtZ8/f17XFwNg9+7dNG7cWO+4kiVL0qhRIxo2bEiDBg3kLux/THHEVYbmCiFEliS54u1kdq549OgRN2/exMXFhZIlS6Zqiqcp5TUhRNK0Wi1169bl0KFDNGzYkB9//JHy5csbOizxBtmmOfvz589xcnLK+Bf09oZ162DrVjh4EBI0dATA1hYqVIBKlaB8efDyUsUsB4eMj00I8daCg4M5fPgwBw4cYPfu3Zw8eZLY2Fjd47Nnz+aTTz4BVL+U6OhoHB0dDRWuQZnSF/xMzxVCiCxNckXKSa4QQmS0Y8eOUbp06f/aQsC5c+e4d+8ebdu2lf6EJiLbFK4MsvpHWBgcPqwKWIcPw7FjEBKS9LEuLlCyJJQoAcWLQ7Fi6k8PD1XUkv+hhDBK/v7+7Nu3j71797J3717++usvvLy8APjtt98YOHAg5cqVo169etSpU4fatWtnm5WITPFiRFaKEkJkBMkVyZNcIYTIKI8ePWLs2LEsW7aMzz//nO+//97QIYk0yjarCs6dC0WLQv/+mfiiOXKo1QbjhopHR8ONG3D2rNouXVLbo0fw+LHa9u9PfB47O3B3B1dXtRUqFL8VLKiKXnnzyjJYQhhA7ty5adeuHe3atUv02PXr19FqtVy4cIELFy4wd+5cAIoVK0bt2rX55ptvcHV1zeSIxesYJFcIIbI8yRVCCJF5wsPDmTlzJt9++y2hoaFoNBqCg4OTXUFUZC9GPeIKfKhY0YX/Vrk0Lv7+qqB14wbcvAm3b8OtW+rPZ89Sdg5zc3B2Visa5suntoQ/Ozur4laePGrLnVt6bQmRCXx9fTlw4AAHDhzg0KFDXLhwQZc0nz9/rpsacvDgQSwtLalevTpmWeT/TVO8i27UuUIIkWVJrjCtXCEjroQwTlqtln/++YfPPvuMe/fuAVCrVi1mz55N1apVDRuceCvZZsRV586qlZRRyp0bqldX26tCQ+H+fdU769EjtT18GP/zo0equBUTA76+aksJMzNwdFRFrLiClpNT/J9xm6Oj2uJ+d3CQgpcQqVCgQAE6d+5M586dAQgICODIkSNcu3ZNr5/J+PHjOXToEAUKFKBt27a0bduWBg0aYGNjY6jQsyWjzhVCiCxLcoUQQry96dOnM3bsWAAKFSrE999/T9euXWWUldBj1COusvSdkagoePpUTTV8+hSePAE/P/Vn3PbsWfwWHJz219JoVKEtf/74qYpubqoXl7s7FCmi/pRlRIVIsdjYWHr37s2mTZsIDAzU7be1taVJkyZ07tyZbt26GTDCtJG76EIIkX4kVxie5AohjJuPjw8VKlTgo48+YsyYMdja2ho6JJFOss2IqyzN0lIVkAoWTNnxERHw4gU8fx6/PXsWv+/lS/Xzixfq57jfQ0JAq43fd+1a0uc3M1PFLE9PNXShbFkoU0ZtRv6FRAhDMDMzY9myZURGRrJv3z7++ecfNm3axKNHj1i/fj1arVbvYuTMmTNUqFABc+lrJ4QQ2YbkCiGEiBcdHc2vv/7K2bNnWbhwIQAFCxbE29ubnDlzGjg6YcxSNeLq8ePHPHr0SG+fhYUFFStWTHTsixcvePToEe7u7qmursmdkXQUGRlf3PLzi5+qGDeV8d49uHtXraaYHFdXqFABKlZUW/XqqsglwzeF0KPVajl79iybNm2iUqVKvPfeewDcvn2b4sWLkydPHpo1a0bz5s1p2rQp+fPnN3DEiclddCGEyFiSKzKX5AohjMO+ffsYPnw4Fy5cAODAgQPUqVPHwFGJjJSeuSJVhatvvvmGadOm4enpqdtnZ2fH3r17db9rtVpGjBjB/PnzcXV15dGjR3zxxRdMmDAhxUHFvcFcuZ4BeQgKSvFTRVpotarP1q1bcPUqXLkCly+rP318kn5OgQJQowZUq6a2KlVUry0hRCLbtm2jW7duBAQE6O2vVq0a77//Pj169KBw4cIGik6fKV6MSK4QQmQFkisyRlysz549I498VxUi03l7ezNq1ChWr14NgJOTE1OmTGHQoEFYWMgEsKzMoFMFvby8OHbsWLKPL1y4kMWLF3Pq1CnKlSvH/v37ady4MRUqVNDdUUqp4GBLQPUwlxHTGUijARcXtb1a9X75UhWxzp+Hc+fgzBm4cEEVujZsUFuc0qXV8+vWhfr1VT8tIQQtWrTg6dOnHDt2jO3bt7N9+3bOnDnDyZMnOXnyJKVKlTKaixFTJLlCCJEVSK7IWJaWloYOQYhsJTw8nOnTpzNt2jTCwsIwMzNj8ODBTJkyRYrIItVSPeJq48aN/Pnnn9jY2FC4cOFE3f6rVatGuXLlWLRokW5fs2bNsLa2ZuPGjSl6nbjK3JkzATg721OokMxKMyqhoaqAdeIEnDqltps3Ex9XsiQ0aKCKWPXqqcKYEAJQy6hv3LiRTZs2sWLFCl0jyhkzZnD48GF69+5Ny5Ytsba2ztS4TPEuuuQKIURWJbni7ZlSrEJkJaGhoZQuXZr79+9Tr149Zs+eTYUKFQwdlshEBp0qOGHCBIoWLUpgYCDm5ubMmTNHtwxwTEwMOXLkYPbs2Xz00Ue6502cOJFFixbx8OHDFL1O3Bt88eKF3nLCwog9ewaHD8PBg7B/vypsxcbqH1OqFDRtqrb69SFXLoOEKoSx0mq1lCpVipv/FYIdHR3p1KkT3bt3p06dOpiZmWV4DKb0BV9yhRAiO5JckTqSK4TIPDdu3KBYsWK6BSa2bt1KcHAwnTp1SjTgRWR96ZkrUpXZKlWqxPXr17l9+zZPnjxhxIgRdO/enVOnTgEQFBREVFRUoqF/efPm5fnz58meNyIigsDAQL0N1PBCYSLy5oW2bWHGDDh5UjWD37ABPv0UKlVSwyCuX4e5c6FNG9UPq2lTmDULbtxQfbaEyOY0Gg3r1q1j9OjRFCxYkJcvX/Lrr79Sv359ChcuzKRJkwwdolGSXCGEyE4kV6SN5AohMo6/vz+ffvopZcqU0Zt51bJlSzp37ixFK/HWUlW4atWqFSVLlgRU0hw7dizFihVjxYoVQPzc8YiICL3nhYWFvXZe+dSpU3FwcNBtbm5uACxbBjNnqkXxhInJnRveew9++EGNvnr+HNatg8GDoUgRtdrhrl2qsFWqFBQvDkOHwtatIF8sRDbm5eXFd999x/3799m1axf9+vXDwcGBR48ecffuXd1xWq2WixcvkopBs1mW5AohRHYjuUIIYQxiY2NZtGgRJUuWZNasWcTExHDixAlDhyWyoFRNFUxK/fr1KVCggK54lSdPHkaPHs2YMWN0xwwfPpzdu3dz6dKlJM8RERGhV+wKDAzEzc0NJycfXrxw4eJF8PJ6myiFUdFq1SirrVthyxY4cACiouIfz5ULmjeH99+H1q3ByIegC5HRIiIi2LZtG4ULF6Zy5coAnDlzhipVqlC8eHE6duxI586dqVix4lvf0TLF6R+SK4QQQnJFcuJi9fHxwUX6rQqRbk6cOMHQoUM5efIkAJ6ensyZM4cmTZoYODJhLAw2VfDVIbYvXrzg/PnzlC5dWrevUaNGbNmyRfd7bGwsW7dupVGjRsme19raGnt7e70NoFUr6NVLWiFlORqNGmX16afw779qmMSGDTBoEBQsCMHBsGYN9OgBzs6qeLV4sRq1JUQ2ZG1tTbt27XQXIgBXrlzBxsaGW7duMW3aNCpXrkzJkiWZPn06L7LZ0CPJFUIIIblCCJF5pk+fTo0aNTh58iR2dnbMnDmTCxcuSNFKZJhUjbiqWbMmnTt3plKlSjx79oxp06bx/PlzTp48ibOzMwAXLlygZs2a9O/fnzZt2rB06VK2bt3K2bNnU7yEr9wZycZiY+H0aVi/Xk0tvHYt/jFzc7VKYadO0KGD6pMlRDYWHBzMli1bWL16NVu3biUsLAwAGxsbDh48SNWqVVN9TrmLLoQQWYvkCskVQqS3kydPUrNmTXr16sW0adMoUKCAoUMSRshgqwo+ffqUWbNmcfz4cXLmzEn16tUZPnw4dnZ2esedPn2aGTNmcP/+fUqUKMG4ceMoVapUioOSBCN0rlxRo6/WroULF+L3W1hAkyZqVFa7dvDf8tBCZFfBwcGsWrWKuXPn8vTpU+7evavrLXjv3j0KFy6copWm5GJECCGyLskVkiuESIu9e/dy9epVhgwZott39+5dihQpYsCohLEzWOEqs0iCEUm6dUsVsVauhHPn4vfnyqVGYPXsqUZk/bf8qhDZkVar5fHjxxQsWBCA6OhoihYtirW1NUOGDOGDDz547XLgcjEihBBZn+QKIURKPHjwgM8//5xVq1ZhZWXFpUuXKFGihKHDEibCYD2uMtugQZY4OanBNkJQvDiMHQtnz8LVqzBxIhQtqnpiLVmiRmC5uqreWWfOqCbwQmQzGo1GdyECcPnyZQIDA7l16xYjR46kUKFCfPjhh5w+fdqAUaYvyRVCCJE62TFXvG6FcyGEvoiICKZOnYqnpyerVq3CzMyMAQMGkEdatQgDMerCVViYFS9fqrqEEHo8PWHyZDUK69Ah1djdyQl8fWHWLKhSBSpUgB9+gKdPDR2tEAZToUIFHj16xIIFCyhXrhxhYWEsWrSIqlWrUr16dQ4ePGjoEN+a5AohhHg72SFXWFlZGToEIUzCtm3b8PLyYvz48YSGhlK7dm3OnDnDTz/9hJOTk6HDE9mUUU8VPHcuACsrewoVAiMfhSyMQWQk7NwJf/6pVimMiFD7raygfXtV3KpXT61qKEQ2pNVqOXz4ML/88gtr1qwhMjKSkydP6hrzRkZGEh4ebnLTPyRXCCFE+smqucIUYhXC0J4+fYqHhwehoaEUKFCAGTNm0L17dzRy/STSINv0uHrx4sVr59cLkayXL1UvrEWL4OTJ+P0lS8KAAdCnD/y3EqYQ2dHTp0/ZuHEjH374oW5fv379OHfuHGfPns20L/iXLl1i+/btaDQa3n//fYoWLZri50quEEKIjGUsueJtSK4Q4vWioqL0ptJ+//33+Pn5MXHiRKP//1sYt2xTuJImiiJdnDkDCxbAX3/FzyWytIT334eBA1VD9xSsoCNEVhYZGUmBAgUIDw8nLCwsUy5GJkyYwI8//kjPnj1xdnZm8+bNzJ07l9q1a6fo+ZIrhBAicxkiV7wtyRVCJE2r1bJx40ZGjBjBH3/8Qb169Qwdkshisk1z9tOnVb3h6FFDRyJMWuXK6j8kHx9YuBCqV4eoKFi1Cho3hlKlYO5caZAjsjUrKyuuX7/On3/+mSmvt3HjRr799lu2b9/O/Pnz+frrrzl69Chubm6pPpfkCiGEyByZnSuEEBnj5s2btGrVinbt2nHv3j2mTZtm6JCEeC2jLlxt3gyDB8P69YaORGQJdnbQvz8cP65WJhwyRDXEuXULPvkE3NxgzBh48MDQkQphEM7OzjRp0iRTXmvu3Lk0adJEb3SVjY0N7u7uqT6X5AohhMg8mZkrhBDpKzQ0lC+++AIvLy+2bduGpaUl48aNY82aNYYOTYjXMurCVZkyajZXmTKGjkRkORUrwrx5ahTWzz9DiRLg7w/Tp0ORItCpExw8CMY3k1aILOHEiRPUrVuX/fv3M3nyZH755Re8vb1f+5yIiAgCAwP1NpBcIYQQQgjxJtu2baN06dJ8++23REZG0qxZMy5dusS3336Lra2tocMT4rWMunDVqROsW6f6aAuRIWxt4aOP4No1NVyjQQOIiYE1a6BuXahUSU0vDAkxdKRCZBlarZbAwEDWrFnD6NGjiY6O5t9//6V06dJs3bo12edNnToVBwcH3RY3rVByhRBCCCHE6/n7+3P//n0KFy7MunXr2LZtGyVLljR0WEKkiDRnF+JVFy/CnDmwfDmEhal9Tk7w6acwbBg4OBg2PiEyUGYtG54rVy5cXV25dOkSFhYWAHz44YccOXKEq1evJvmciIgIIiIi9GJ1c3OTXCGEEJkss3JFepDrCpFdhYSEcP36dSpXrgyoG4e//fYbPXr0IGfOnAaOTmQH2aY5e5zoaENHILKVcuXUKKuHD2HGDChaFF68gAkTwMMDJk1Svwsh0qxMmTJUrlxZV7QCqFGjBrdv3ya5+ynW1tbY29vrbQlJrhBCCCFEdqfValm7di2lS5emZcuWBAQEAKDRaBgwYIAUrYRJMurC1eHDlhQurGoFd+4YOhqR7Tg5wWefwY0b8NdfULq06oM1eTIULgyjRsHjx4aOUgiT1LVrV44fP054eLhu3759+/Dy8kKj0aTqXJIrhBBCvImlpaWhQxAiw12/fp1mzZrRsWNHHjx4gI2NDXfv3jV0WEK8NaMuXNWvb0WhQhARIfUBYUDm5tCtG1y6BKtWQYUKqufVjBnqSrl/f0hmapMQImkff/wxRYoUoXLlynzyySc0atSInTt38vPPP6f6XJIrhBBCvImVlZWhQxAiw4SEhDB+/HjKlSvHrl27sLa2ZsKECVy5coWKFSsaOjwh3ppR97gKCAggKMie2Fj4rwevEIan1cK2bfDtt3D4cPz+tm3VaKwKFQwXmxBvKTP7lsTGxrJjxw6uX7+Oi4sLTZs2xdHRMcXPl1whhBCGYYo9rkwhViHSIjAwkHLlynH//n0AWrRowZw5cyhevLiBIxPZXbbpcRUbG0uhQvoXIj4+hotHCAA0GmjZEg4dUoWrdu3Uvg0boGJF6NxZRmAJkQJmZma0aNGCESNG0KVLl1QVrRKSXCGEEOJNYmNjDR2CEBnC3t6eBg0a4O7uzvr169myZYsUrUSWY9SFq7C4Fd3+c+2a6ps9ciRI7hFGoVYt+OcfuHIFunRR+1avBi8v6NcP/rvzIYTIOJIrhBBCvMmruUIIUxUaGspXX33FvXv3dPt+/PFHrly5Qtu2bVPdK1QIU2DUhatXHTigFnM7ckT1MhHCaHh6wooVcP68mjIYGwuLF0OJEjB8uDTeESITSa4QQgghRFa0ceNGypYty5QpUxgxYoRuv6Ojo6wWKLI0kypcDRwIa9fCpk2QI4ehoxEiCeXLw/r1cPQo1K8PkZEwZw4ULQqffgp+foaOUIgsT3KFEEIIIbKSO3fu0KZNG9q2bcu9e/dwc3OjV69eGGG7aiEyhEkVrgDatwdn5/jfZ8xQ/bAjIw0XkxCJ1KwJe/bArl1qOmF4OMyaBcWKwYQJEBBg6AiFyNIkVwghhBDC1IWHhzNlyhTKli3L5s2bsbS0ZOzYsVy9epUOHTrItECRbZhc4Sqhe/dg/HiYNEnVB4QwKhoNNG6smrhv3w7VqkFICHzzjRqBNWsWREUZOkohsjzJFUIIIYQwRfPmzeOrr74iPDycRo0aceHCBaZOnYqtra2hQxMiU5l04crdHZYsge7d1SJvcYKDDReTEIloNNCsGRw/DuvWQenSqgHPp5+qqYU7dhg6QiGyNMkVQgghhDAVCaf/DRkyhNq1a7NixQp27dqFp6enASMTwnBMunCl0UC3brB8ufoZ1DSQcuWgY0fw9TVsfELo0Wjg/ffhwgX49VfIm1ctf9a8ObRqBZcvGzpCIbIkyRVCCCGEMHaRkZFMnz6d+vXrExMTA0COHDk4cOAAXbp0kWmBIlsz6sKVpaVlqp+zf7+aFnL4MDg4pH9MQrw1CwsYMABu3oSRI9XvW7eq0VeDB0sDdyFSSXKFEEKIN0lLrhAis+zbt4+KFSsyZswYDhw4wNq1a3WPScFKCCMvXFlZWaX6OU2awMWL8Pvv+qtJtWsHw4fD48fpF58QbyV3bpg5E65cUSOxYmNhwQIoXlz1wQoNNXSEQpgEyRVCCJH17du3j/r16/PVV1+l6flpyRVCZDRfX1969uxJgwYNuHr1Ks7OzixZsoROnToZOjQhjEqaC1dr166lePHiDBs2LNFj+/fvp2XLlpQtW5Z27dpx5syZtwoytby89PuYnD8PGzbAzz9Dwpzl4wNhYZkamhCJlSihel8dOKAauAcHq5UHS5SAFStAlrkVIkNIrhBCCNPw7Nkz+vbty8OHD7ksrRVEFhATE8PcuXMpVaoUy5cvR6PR8NFHH3H9+nV69+4to6yEeEWaClfe3t6MGDECGxsbHr9yW/rkyZM0bdqUqlWr8scff1CoUCHq16/P7du3U/06sbGxaQkvkTJlYMsWmDoV8uSJ3z9sGDg6qr4nQhhcnTpw7Bj8/Td4eKir5W7d1JX13buGjk4IoyW5Qgghsi6tVkufPn0YPHjwWzWmTq9cIUR60Gg0/PXXXwQGBlKtWjVOnDjBzz//jKOjo6FDE8IopbpwFR0dTbdu3Zg0aRIeHh6JHv/f//5H3bp1mTJlCtWqVWPevHm4uroyY8aMVAcXlk63uC0t1bX/55/H79NqVV/siAg1sCXOnj1Qtix8+WW6vLQQqWNmBl27wtWrMHmyGvaxfbv6j3LaNNVRWgihR3KFEEJkXT/++COhoaGMGjXqrc6TXrlCiLR6/vw5ISEhAJiZmfHLL7/wyy+/cPToUapWrWrg6IQwbqkuXE2YMAEXFxc+/PDDJB/ft28fzZo109vXokUL9u3bl6YAM4pGA5cuwfXrULly/P6jR1XLoVcHiNWurXqiJBz4Eh4O/y34IET6srGBiRPVCoQNGqh5SuPGQYUK6opZCJEpJFcIIYThnD59mu+++46lS5diZpayy5aIiAgCAwP1NiEMKTY2lkWLFlGqVCmmTJmi21+xYkUGDx6Mubm5AaMTwjSkqnD177//smzZMn799dckHw8KCiIgIIACBQro7S9QoAAPHz5M9ryGSjAaDZQsqRZ1izNoEGzcCEOHxu8LCYEjR+DffyFXrvj9P/+smvqOGKF/3jVr4OBBdYdeiLdSqhTs3g1//gn58qmhH40aQefOcP++oaMTIluQXCGEEJkvKCiIrl27MmfOHNzc3FL8vKlTp+Lg4KDbUvNcIdLbhQsXqFu3Lh9++CHPnz/n33//JSoqytBhCWFyUly4evLkCb1792bRokXkSdj8I4G4ueOvLjdrZWVFzGtuNxtTgsmbF9q0gXffjd9nba1aD/3xh3o8zp07EBUFtrbx+yIioFMnqFsXEtbf/vwT2raFJUv0X+/cOXj4UC0oJ0SSNBro2VMN+fj4YzWdcPVq8PSE//1Ppg8KYQCSK4QQImPt2bOH+/fv88svv1C/fn3q16/P0aNH2b9/P/Xr18fX1zfJ540bN46AgADd9uDBg0yOXAhVeP3ss8+oXLkyhw8fxtbWlhkzZnDs2LFE18pCiDezePMhypEjR3j69CkfffSRbt/jx4/RaDQUL16c/fv34+LigrW1Nc+fP9d77rNnz8ib8Fv8K8aNG8fIkSN1vwcGBhrV3RELC6heXW0JzZ4No0ervihxgoKgfn3w89O/cDl5Ut2dL1Mmfl9EBFSqpH5+/hycnNTPf/6pjm3XDnr0iD/+0CHVMLhECf07/yKbyJ0bfvoJ+vdX3aIPHVINdlatUlfKcf8xCZHd/NcvwtAkVwghRPp599132bFjh96+cePGYWVlxaRJk8idO3eSz7O2tsba2joTIhQiaYcPH6Zz5874+PgA0LFjR3788UdcXV0NHJkQpivFX2mbNGnC1atX9fYNHDgQa2tr5s6dS/78+TEzM6Ny5cocPXqUIUOG6I47dOjQaxvOmWqCMTeHwoX19+XNC3v3Jj62Z091IVKxYvy+ly/BxQUCAtSKVXFOnlRTSBI2Ag4PV4vOxT0vLlfPn68WoevWDQYPjj9+zRoVS82aql2SyEIqVoQDB+Cvv9TcowsX1JXy+PHwxReqobsQ2cmtW1C8uKGjSJbkCiGESL28efNSv359vX158uTBxsYm0X4hjImHhweBgYEUK1aMn376iebNmxs6JCFMXooLV7a2thR/5cIgZ86c2NjY6O0fPHgwgwcP5qOPPqJWrVps2rSJgwcPsm3btvSL2gQldRe+QAHw8VGrVmk08fu7dVMXIlWqxO8LClI9Vl6+BAeH+P2XL6saRu3a8fvCwtQUFIBnz+IvRjZvVv1UWraEevXS9/2JTKbRqCEWTZrAkCGwdi1MmQLr18voK5H93LgBWeRLoeQKIYQQwrSEh4ezefNmOnbsCEChQoXYsWMHlSpVIkeOHAaOToisId0nEfTu3Zvbt2/TuHFjcuTIQVRUFD/88ANNmjRJfXDZZI5DwgsRgHfeUVtCzs6qxdGrBg1SFyKlSsXvCw1Vd9xDQuKnlABs2gS//qqmjsRdjGi1qpdKw4aJRwQIE5AvnxoysWqV6n8VN/pq3Dg1+soERzIKkVoWt24ZOoRMIblCCJHdTZ06NcWrC74qu1xXiMy1c+dOPv74Y27dusWuXbto3LgxALVq1TJwZEJkLRqtVqtN65Pjely9uoogqMrz06dPyZ8/P1apnLoUGBiIg4MDAQEB2NvbpzU88YoNG2DHDujYUV18AFy8COXLqxWvXryQqSIm7ckTVbxas0b9XqYM/PZb4itbIV7DlD5/dbG2aIH91q2GDifLkFwhhHgTk8wVJhCrMB2PHj1i5MiRrFq1CgAXFxd+//13WrRoYeDIhDAe6fn5+1a3HlxcXJJ9zMbGxqgarAu1UlXbtvr7goOhVi3VyDfhhchnn6k79x9+qP4UJiBfPrXa4OrVMHQoXLmiljwbOhSmTtVf0kyIrCSpIUYizSRXCCGEEEmLjo7mp59+YsKECQQHB2NmZsawYcOYMmWKFEaFyEBvNeIqo8RV5vz9/XFI2KRDZJiYGNVAGFQD4Hz5IDJSLcFeoYJBQxNp8eKFuqL84w/1e4kSagmyGjUMGpYwfqZ0Z1qXKwCHsDAZBpQJJFcIIcBEc4VcV4h00KZNGzZv3gxAzZo1+eWXX6iYcEUVIYROeuaKtE0SzyShoaGGDiHbiLsQAbVk+y+/qDvoCS9E5syBL79UTYKFkXNygsWL1XyfQoXg5k01+uqrryA62tDRCZGuQkE1aBcZTnKFEMJUyXWFSA99+vTB0dGRBQsWcPjwYSlaCZFJjHrElY+Pz2unI4rMExUFHh7qQuTPP9WS7cJEvHyppgv+9Zf6vVYtWL5c/YMK8QpTvIvuA7isWAFduhg6pGxPcoUQ2YNJ5gq5rhCppNVq+fPPP7GxsaFz5866ff7+/jg6Oho4OiGMX7YZcSWMh0YDs2dDhw7614bHj8OxY4aLS6SAo6MqVP39N9jbw5EjULGiWolQiKziyhVDRyCQXCGEECJruHr1Kg0aNKBPnz58/PHHPH/+HACNRiNFKyEMQApXIkUsLNQKU2vWqOkhoJZHHz5cLVq3YIFh4xMp0LWrakRTs6ZqTtOlC/Tpo34WwtRdvWroCASSK4QQQpi20NBQxo8fT4UKFdi/fz85cuTg888/x87OztChCZGtSeFKpFl4OJQtC3Z2+itQSQslI1akCBw4oBrQmJnB0qWqOc3Bg4aOTIi3IyOujJbkCiGEEKZgy5YtlC1blqlTpxIVFUWbNm24cuUKY8aMwcrKytDhCZGtSeFKpFmOHPD77/DwIRQoEL9/yBB1x/32bcPFJl7D0hK+/loVsIoUAW9vqF8fJkxQDWqEMEU3bkglxEhJrhBCCGHsrl27RuvWrbl37x5ubm78888/bNy4EQ/pCSuEUZDClXhrCfusPX+uBvGsXQuPHhkuJpEC776rpg726QOxsfDNN1C7Nty6ZejIhEidHDlU0VUqIEZNcoUQQghjknCNMk9PTz766CNGjRrFlStXaNeuneECE0IkYtSFKwsLC0OHIFIpTx44dUrVQOrWjd9/5QpERhouLpEMe3v44w9YsQJy54YTJ6BKFdi40dCRCZFiFiVKqB9kuqDJkFwhhMhscl0hEjp27Bi1atXiVoIbtvPmzWP69OnkypXLgJEJIZJi1IUra2trQ4cg0sDLC774Iv734GBo3BjKl4ebNw0Xl3iNLl3gwgU14iowUDWimTgRYmIMHZnIBoKCgti8eTOnT59O0/OtS5dWP0iDdpMiuUIIkZnkukIAvHz5ksGDB1OrVi2OHTvGFwkSkUajMWBkQojXMerClcgarl1T9Y+oKHBzM3Q0IllubrBnD3zyifr966+hdWs1p0eIDDR48GDef/99pk6dmrYTlCql/ly7Fp48Sb/ARKaSXCGEECKjaLVali1bhqenJwsWLECr1fLBBx/w008/GTo0IUQKGHXhKuG8Y2G6qlZVfZP/+QdsbOL3r18vvZSNjqUlzJ4Nf/6p+gZt3w6VK6sphEJkgEWLFnH37l0aN26c5nNo27SBnDnhzBmoVEktPCBMjuQKIURGkuuK7Ov69es0btyYXr168eTJEzw9Pdm3bx+LFy/G2dnZ0OEJIVLAqAtXoaGhhg5BpBMHBzX9I86GDfD++6o/uFyQGKGePeHYMSheHO7fV1MI580D+dIn0tG1a9f44osvWLZsGebm5mk+T2ihQqq4Wro0+PhAw4YwbpyaeyZMiuQKIURGkeuK7GvVqlXs2bMHGxsb/ve//3H+/Hnq1atn6LCEEKlg1IUrkXVFRICjIzRqBNIr00iVL6+6J7//vpq7M3QodOgAL18aOjKRBURERNC1a1e+++47ihYtmuLnBAYG6m06Zcuq4lWvXmq+2bRp4OkJf/8tBVcTJrlCCCFEWgQnuHk1evRoBg0axOXLlxk/fjxWVlYGjEwIkRZSuBIG0bmz6qM8YUL8Pl9fOHzYcDGJJDg4qL5Bs2apaYT//AMVK8Lx44aOTJi4kSNHUqpUKXr37p3i50ydOhUHBwfd5vZqI6RcuWDJEjVMp0gRePQIuneHGjVg504pYJkgyRVCCCFSw9fXl+7du1O7dm2i/xuqa21tzfz581N8o0wIYXykcCUMJn9+1UYJ1PXkkCFQp45qsSSMiEYDw4fD0aNQrJiaOlivHqxcaejIhIk6evQov/32G61bt2bz5s1s3ryZJ0+e4Ovry+bNmwkLC0vyeePGjSMgIEC3PXjwIPFBGg289x5cuaIWGMiZE06ehGbNoEED2LVLClgmRnKFEEKIN4mJieGXX37B09OTv//+m4sXL3Lw4EFDhyWESCdSuBJGIToacudWU0Hq1zd0NCJJVaqo5tdt2qj5O127qsKAFAFEKmk0Gpo0acLKlSuZP38+8+fPx9vbm9u3bzN//nyCgoKSfJ61tTX29vZ6W7JsbODLL+HuXRgxAqytYf9+aNpUjRpcsgTCwzPk/YmMI7lCCCHEq86dO0etWrUYMmQIAQEBVK1alRMnTtCgQQNDhyaESCcarREusREYGIiDgwM+Pj64uLgYOhyRie7cgYSjeC9dUm1qpLeJEYmJgVGj4Mcf1e89esBvv+kvAyZMVtznb0BAwOsLQ+msdevW2NjYsGbNmhQ/J1W54sEDmDEDfv8dQkLUPkdHtRDBhx+qnm4azVu8A5GZJFcIYViGyhVpIdcVWVdERATjx49n9uzZxMTEYGdnx//+9z+GDBnyVou+CCHSR3rmChlxJYxKwguR+/fVdJB69eDpU8PFJF5hbg4//ADz56ufly9XU7D8/AwdmRDJc3NTc8sePICpU6FwYbXQwNy5agRW6dIwfrxq8B4TY+hoxRtIrhBCCGFpacmJEyeIiYmhc+fOXLt2jWHDhknRSogsyKgLV/Khk71dvw6xsfFTQ4SRGTQIduxQ/zjHjkG1anDunKGjEiaqevXqVK1aNU3PTVWucHSEsWPVkJ3t29VKmVZW6gNn6lTVyD1fPujUSRVnz51TH0LCaEmuEEKkhFxXZA3379/XtRQwMzPj119/ZevWraxcuZKCBQsaODohREYx6qmCpjD8WGSse/fUBUnc3XWtVrWliWvUK4zAjRuq79WNG+of5vffoVs3Q0cl0siUPn/TLdbAQNi6Va2guWMHvNpjK2dONSqrbFm1lSqlFipwd1dFL2FwkiuEyFzZMlcIg4qOjmb27Nl89dVXDBgwgB/jWlYIIYxWen7+SjcIYdQ8PPR///VX1Vpp1SrVkkYYgZIl1Yir7t3VCJbu3eH0aZg2TRrOCNNgb68WG+jaFaKi1CqEu3bBoUNq6mBgIBw5oraEzMygUCE1DbFwYfVzgQJqy59fjdzKlw/y5JECVwaTXCGEEFnX8ePHGTRoEOfPnwdUM/bo6Ggs5HumENmG/N8uTEZUFMycCTdvqmtKuRgxIo6OsHkzTJigplvNnAnXrsGKFZArl6GjEyLlLC2hVi21gRrGc+2amjJ49Spcvqw+hO7cgdBQ1TPrwYPERa1X2dmBk5P+5uCgv9nbq83OTn/LlUttUvxKEckVQgiRNfj7+zN+/Hjmz5+PVqvFycmJ6dOn07dvX8zMjLrjjRAinaW6cPXw4UO2b9/Os2fPKFmyJG3atMHS0lLvmNDQUNasWYO3tzclSpSgQ4cOiY5JiZCQEBnSK3QsLdW14YIF8Omnho5GJGJuDt9+C5UrQ69esGWLWq9+82Y1AkWIDJKhucLMDMqUUVtCWq1akMDbWxWu7t+Hx4/B11f9+eSJ2p4+VcWvoCC1eXunPRYLC7C1jd9y5VJ/5swZv+XIof/nq/viNhubpH+O20x4hUXJFUKIpMh1hWk5fPgwHTt2xNfXF4A+ffrw/fff4+zsbODIhBCGkKoeV/PmzWPevHnUq1cPe3t7Nm3aRExMDAcPHiRfvnwAvHjxgtq1a2NtbU3Dhg3ZvHkzTk5O7NmzhxwpbDYhy9aKlIqJgREj4JNPoEQJQ0cjdI4dU32vnj1Tc3i2b1d9gYTRM6VeICaRK2Jjwd8fnj9X28uX8OKF2gIC1GMBAaqoFRiotoQ/BwdDZGTmxmxmpopicSPAcueO35yc1AjLvHnB2Vlt+fKpP/PmVVUjIyS5Qoj0JblCZLTHjx/j6elJgQIFmD9/Pg0aNDB0SEKIVErPXJGqwtX58+cpV66cbmhmSEgIrq6ufPHFF3z++ecAfPbZZ2zYsIHz589ja2vL06dPKVWqFOPHj9cd8yaSYERKffstfPEFuLiomTs2NoaOSOjcugUtWqg/8+RRza+rVzd0VOIN5GLECEVGQkhI0ltwMISFqWmLISHq57jf4/6M+/nVLTxc//f0WD0xb974Pl+FCqnN1RUKFlRbXB+wTJ7iIblCiPQluUKkt6ioKDZv3sz777+v23fy5EnKly+PtbW1ASMTQqSVwZqzV6hQIcn9uRL0sFm3bh3dunXD1tYWAGdnZ9q0acO6detSXLgSIqX69lX1kI8/lgsRo1O8uJqv06qVanbdsKFata1ZM0NHJoRpsbJSm6Njxr5OdLQqYAUHx4/6CgiIHxnm7x8/WuzZMzUNMm465PPnanTZs2dqu3Qp+dextFQN7d3d1YjMIkXUn3FbwYJq6nE6klwhhBDG6/DhwwwaNIjLly+zZcsWWrZsCUC1atUMHJkQwlikusfVkydPmDNnDiEhIezbt4+uXbvSr18/ACIiIrh37x7FixfXe06JEiXYvHlzsueMiIggIiJC93tgYGBqwxLZlIsLHDigf/P+wQM1u8XBwXBxif84O8OePdChA+zcCa1bw++/Q+/eho5MCPEqC4v4hvCpHZUQE6MKWn5+8X2+Hj2Chw/Vnz4+6k9fX9U9/c4dtSXF0lIVsIoVUwXwEiXiNw+PNK1WKrlCCCGMz8uXLxk7diy//vorAHnz5tW7JhRCiDip/van0WiwsbEhPDycsLAw7ty5Q1BQEHny5CE0NBQg0TAwBwcHQkJCkj3n1KlTmTx5cmpDEQLQvxAJCVG1kYgI1RP8lRqqMIRcuWDTJjXk4a+/oE8fuHsXJk406QbQQogEzM3je155eSV/XHS0KmLdvw/37qnt7l21xTW6j4pSSwLevJn4+RYWaoRWyZKqb16pUlC6tGqenyfPa0OUXCGEEMZBq9WyYsUKRowYwZMnTwDo168f06dPJ88bPsuFENlTqgtXzs7OfPnllwB8/fXXVKhQgUmTJjF37lxsbW3RaDQEBAToPcff319vOuGrxo0bx8iRI3W/BwYG4ubmltrQhODhQ3XTPyoKZDq8EbGygj//VFODpk6FSZPUaIuFC9VjQojswcICChdWW+3aiR+PiVEjs27fVv3xbt2KL2LduqX6csX9vmWL/nPz5YsvYpUuDWXLqiLaf4vHJCS5QgghDKd///4sWrQIAE9PTxYsWEDdunUNHJUQwpilfrx9Ajly5KB69epcvHgRACsrK4oUKcKNGzf0jrtx4waenp7Jnsfa2jrJpnvm6dzjQmR9pUrBqVPqukdqn0bGzEx1SC5SBD76CJYuVSMv1q5V83WESCPJFVmIuXl8YevVFaRiY9Vnxs2bcOMGXLumtqtX1WitJ0/Utn+//vOcnaFcOahQQW3ly1OqdGlOnbKRXCFENiK5wni0bduW5cuX8+WXXzJq1Chpvi6EeKNUFa6OHTtGzZo1db8HBARw8OBB2rZtq9vXoUMHVq1axZdffomdnR2+vr5s2rSJSZMmpTo4G+mgKtIgf361xTl5Us1Q+/77NLVGEeltwAB1pdixI/z7L9Stq7omFyxo6MiEiZJckU2YmakVCl1dExe1goPji1hXr8Lly3Dlihq59fSp6rW3Z0/88ebm5C9RgvwVKkDFilCpEic11flrm6PkCiGyKMkVhnPkyBH8/Px0Kwa+99573Llzh4Ly3U8IkUIarVarTenB7dq1w9/fnwoVKhAWFsbmzZtxd3dn48aNODs7A2paYL169YiJiaFevXps374dV1dXdu7cmeJquiktsSuMW2io6ufr4wOTJ6u2SsJInD6tVhz081OjK/79V/1jCYMypc9fU4pVGEhoqCpgXbgA58+r7eJFNU8w4WHkoAQ38aEQk0uvYGKP21ClClSunORUQyGyO1P6/DWlWLMaf39/xo0bx/z583F0dOTatWvkk89UYYSio9WCylotODnF7793Ty2qXLhw/P6AADh2TK0l07Bh/LH796uWnTVrQtxks+fPYckS1Rll6ND4Y9esgTNnoGXL+M4JL16oa1Vzc5g9O/7YxYth92611tV/tV8CA1Xb4NhY+Oef+D6eCxaoc3fpAv37q30REdCokXpvu3ZBzpxq/y+/wG+/qWNHj45/vfLl1d/HgQOQN2/8eb//Xo07mDYt/tgyZbQEBcGhfyNwd4mEqCh++8OCL7/LRdtGIXw/6hYOVaqky+dvqu4prl+/npMnT3L8+HEsLS3p3bs3tV/pUZE7d26OHz/Ohg0buH//PjNnzqRNmzYyPFcYRM6c8NNPMH06fPqpoaMReqpUgaNHoXlzNe2nXj3Yu1fN9xRCiPSQMydUraq2OFqtWvUwrph17hw5z5zhpxtDmc5oPr06AL4Mjj/e1TX+HDVrQvXqauVFIYQQSdJqtaxevZrhw4fj6+sLqAEQFjKcVSRBq4XISFUssbWN33/qFLx8qdKvo6Pad+MGbNgABQpAr17xx06cqDoJjB2rugIAHDkCn3yi7ov//Xf8sS1bwsGDsGwZxE0cO3JEXYp4eqqB23EGDVILoy9dGv96t26pyxdXV7WmTJw5c2DdOlUQiitcPX0Kn32m4k9YuNq4UbX/zZMnvnAVEgLz5qkiV8LC1fHjsHy5WpcmrnAVHQ3r16ufYx/7YRYZCmFh3DjgxL//FqCy413Iex7Cw9EGRnL4sFrRPXraDNAEQXg4j/c14MyZ5rwT8i+c/V1VuCIiuHxxI7GYE9WkJfAYIiJ46deX2y9G8WTO37BwqPoHi4zkQeQzgrEj2rMsoFaLDmUYfszBf8U2WNH1jf/+KZXqT49q1apRrVq11x5jY2NDly5d0hxUnJCQELkzIt7a++9Du3b6C9g9eSI30Y1CkSKqnN+4MVy6pDLGnj2qubIQKSS5QqSKRqOmJhcsqL55/uf9wEDanTmL5vQkdRv09GmeXH9JvocPVTf3uG+IZmaq6XuNGmqLu7UqN+iEMGqSKzKHt7c3Q4YMYevWrQCUKlWK+fPnU79+fcMGJjLMvXuqwOTpCTlyqH3nzqlVe4sUgR494o/t3Fmtz7R0afzX/WXLoHdvaNoUduyIP7Z3b1VE2rsX4v7zuXxZjQ565x39wtX27ao9TI8e8YWr0FA1wSMyUj/esDDVYSA8PH6fpaX6MypK/9i8ecHFRX8tqVy5VJcBFxf9YytXVud2dY3flzu3isnODvWCAQEQGEjTEhY4tregUuh9+PMOBAbi8DSCCe9WxDImDPqtVUEGB9PhYWlKFHKl1u/HYeFhCAnBNiSa+XTDjFg0rouAWAC6U5nKeFJm9RVYfU69N8xYy3o0aMnx9WYgGoBerKMWxSh8/T5cj6/W7aYRAE7njgLqL68ns6nHOvKFPYGw+FHr+6lHLGYU4pFuX3f+pp7FERwtg8HKQb3ndJCqqYKZJW5Ir4+PDy6v/hchxFtaswY++ED1vXrvPUNHIwB1O6JxYzUCwtlZ3dqoWNHQUWVLpjSlQnKFyEgqV2j564vLvGezS30jPnpUfUN/Va5c6pZwjRqqb1/t2rLohMjSJFeIpDx79oyiRYsSFBSElZUV48aNY9y4cdJ83QTExsZPNwNYsUJ18/jgA3BwUPvWrFGLg9etCz/+GH9s/vxqUMC5c/FFoz/+gL59oUUL1co2TqlSatTUgQNQp47at3atmoJWu7YaCRXn/fdVkeuXX6BWLbXv3Dn44Qd1ni++iD92+XJ49gzatIGiRdW+Z8/UaCUnJ1XoinP/vipmubjEj/CKjVWjmCwt9Qc7JBITo6p0z5+rF3jxQv384kX89vJl/Obvr7aAADWiKaPkyKFGmefMqX5+dbOxUcsox/0ct1lbq83GRlXn4n63ttb/3dIyfp+lpfoz4c+WlvFbght56ZkrZLymyHb+/lsNxfz3XylcGQ1nZzXSqmlTNdKhfn211P277xo6MiFENqVyhYZ/H3vx3hyv+AceP1bNLY4fV9vJk+qu6L59avvuO/Xtv2JF9a08rpAlw3yFEFlc3rx56d27NxcvXmTBggWvXVVeZL4lS9QA4qFD44tRCxfCqFGq4PPnn/HHfvKJuq/coIHqeQQq1Z05kzidFSyoahUJRzaVLq16LMUVsuLMmaMKRGXLxu9r3VrVeBJOEwTVu+lVFSuq0VqvSjiqK07evKqd7qsKF35lR1gYZr6+WPn6gq+vqtj5+savVvz0qfrz2TNVpHrbcT92duofwMFB3eSys4vfcuXS/zlus7VNvOXMqf60sXlDtS1rkBFXItuJjlYf0gMHyswOoxMQoLLXoUPqw/iff1QxS2QauYsuhJLiXBETo+YyHD8Ohw+r7qx37iQ+rnhxVYyvU0d1cy1SJMNiFyKjSa4QAEFBQUyaNIlBgwZRsmRJACIiIrC0tMQs4fAdkWGuX1cDgevUiW+6/ddfqudTw4bw66/xxyY1MmrpUtXku0kTNeEhzocfqhv9U6ao3kqg+jldvKgWBy9XLjPe3VuKiVFvOG7K/8OH8OiRWrUrbnv8WI2ISi0HB9WgKm5zdFR/Ojmpnx0d1TzBhJuDgypIZaMLUBlxJcRbsLCAjz6K/12rhZUroVOnbPU5YpwcHNTk9g4d1GT11q3VWOPu3Q0dmRAim0lxrjA3Vz2vvLzUN31QX44PHlTbgQOqKcetW2pbskQd4+6ulvlp3FhdXeTPn2nvTQgh3tbmzZsZMmQIDx484MyZM+zZsweNRiPTAjPIhQuq8bebW3yqAXU/5Plz/WKUVgu3b6s0k1DHjqoHU1yBC9RIq2vXEqeg339PHIObm9qMRliYmvd3757avL3V797eqsr26JG6C5US1taq47uLi/rLiNvy5VMzQ+L+zJtXFajimmKJTCOFK5HtTZkCkyapZLByZbYYaWnccuZUy4X07q3+QXr0UHdEPvtM/nGEEAaTqlzh6grduqkN1ByIY8fUiKx9+9ToLG9vWLRIbaAKX/Xrq3kZ9eqpL8ZCCGFkHj9+zPDhw1m9ejUARYoUYezYsWjkO1q6GT5crai3aFH8Ytvnz8PkySpFJCxclS+vZrIlbDTeuLG6Z+LhoX/eefMSv1bc4CCjFBurik937qhK3J07art7VxWq/lux8rXMzNRcRldXKFRIbXELtMT9XKCAunku/w0bNSlciWzPy0v1lGvQQD6vjIaVlRrn7OICs2apyfcPHqhujDIsTghhAG+VKxwdVYfaFi3U78HBakr07t2q4eK5c2pl1UuX4Kef1AtUrqyuPpo3V7fU5e6uyIZCQkJYtGgR+/fvJyoqimrVqjFs2DAc4hr0iEwTGxvLb7/9xujRowkICMDc3JzPPvuMr776ipwJh/CI19Jq43PI/v3qK66bm2pQHufwYbUa3pUr8YWrypVVwapqVf3z7dmT+DXiBguZhNhY9R3/5s34LW6E8p07b25oniuXqtC5u6s/CxfW3woUUEOohckz6h5Xvr6+5DeZ/+uEKbt3L/FdCWEkZs6Ezz9XP7dpowpauXIZNqYszBT7lkiuEJklw3LF06fq9vjevWq7ckX/cXt71YCkeXNo1szI5mqI7CizckXlypWpU6cOderUwdzcnGnTphEcHMzx48fJlcLvApIr0sfixYvp168fAFWrVmXhwoVUlBWgU+yTT2D9etVzqnlzte/oUbVaXqFCaoZ5nH/+UfWaevXUPdwsISBANeS6fl3NTYz7+dYt/eFir7KwUIm3WDG1XGCRIvGbh4fqKSUjD4xWeuYKoy5cmcKFk8h6IiJg2DAYP16KWUZj1So1dTAiQi0nsmmTGvIr0p0pff6aUqwi68nQXOHjo26j79ql+v09eaL/eJkyauGKZs3UqoUy2kFkssz6/A0MDNQ7/9OnT8mfPz8rV66kU6dOKT6H5Iq3FxkZSb169ejatStDhw7FXEbAJ+nOHXW/NSBADaqN060brFgB334L48apfSEhsHWranSeJRZg1GrVinxXrqhFS65cUUWqq1dVE/TkWFqqolSJEqoTfPHiqlBVvLgaNSUjpkyWFK6EyEDDh6ulWkuUUP10ZXaGkTh2DNq2VRdwBQuqizmTWNLEtJjS568pxSqynkzLFbGxas7I1q1q8Yrjx9W+ONbWakphu3bw3nuJ1ykXIgMY6vM3NDQUBwcHFi1aRK9evVL0HMkVaXPo0CFmz57N8uXLsbKyAtR0QVktMN6uXWqKX9Om0L692vf0afzHsL+/ap0E6mM8JETdf80S/xk+fRo/xf3y5fjt5cvkn+PiouY+liqlKnUlS6rNw0OKU1mUrCooRAYaMwaOHIFp06RoZVRq1lQXbK1aqTs4deqoJu716hk6MiFENpRpucLMDKpVU9tXX6mLgt27VRFrxw7VG2TLFrUNHAjvvKMKWO+9py4MZAqFyEJmzJiBlZUVjRs3TvaYiIgIIhL0xQkMDMyM0LKMgIAAxowZw4IFCwCoUaMGn//XsiG7Fq1iY+HiRdWacPDg+Har+/fDggVqBG5c4crZGX75RQ2MzZEj/hxVqmR+3OkiNFQVpC5e1N9eHQkcR6NRo6fKlIHSpdWfnp5qk9504i0Y9YgrHx8fXLLMxF5hSmJj1bVCnISNFIWBvXihRl4dOqRGGvz1V/y3BfHWTOnOtOQKYWgGzxVarbqgWL9ebadP6z9etKgq9rdurbrKy90YkU4MkSv++ecfOnXqxOLFi1872mrSpElMnjw50X7JFW+2bt06hg4dyuP/pnX179+f6dOn42i0y85ljNhYeP5cFaEAoqNVK6WgIDh7Vo2aAtWjau1a1bPqNbVU06DVqhsh58+r7cIF9efNm+qxV2k0qs+Ul5faypSBsmXVaKqEFTuRrWWbqYKSYIQx8PNTPcG//14G9xiNsDDo0UN1rzQzgyVLoGdPQ0eVJUjhSoi0MYpc8eCB6gG4aZPqkRUZGf+YkxO8/z506gQNG0oRS7yVzM4VW7ZsoUOHDsyYMYOhQ4e+9tikRly5ublJrngNHx8fhg4dyj///ANAiRIl+PXXX6lfv75hAzOA7dvVV8xy5WDfvvj9XbqovlXffJN4ZT+TExWlek+dPatWtY3bkpvm5+wM5curv5S4rUwZsLXNxKCFKZLClRCZ6KOPYP58NcL14kWZgm00YmJg0CD4/Xd11+e33+C/1W5E2knhSoi0MbpcERysphRu3gwbN+pP63ByUj2x4opY//WvESKlMjNXbN26lfbt2/P9998zbNiwVD9fcsWbvffee2zatAkLCwtGjx7NhAkTsLGxMXRYGW77djViqnt3NSgV4MYNNWgob17VT9zgn+VvKzxcjZ46c0YVqs6cUUkqQXFXx8JCTe+rUCF+K18eZDVOkUbS40qITPTDD+qm9dixWSB5ZSXm5mpNYSsr1Uzgww9Vch4yxNCRCSGyIaPLFblyqWnVbduqitqBA2qF1nXrVBFr0SK1OTiooWIdOqj5LtngYlWYju3bt9OhQ4c0F61EysyYMYOAgADmzp1L+fLlDR1OhoiJUfWbSpXi9/3zj7rvmTNnfOGqRAm1HlDlykbyWZ4aYWFqet/p0/Hb5cvqzb/K3l7NeaxYUf2lVKyoilbW1pkctBApIyOuhEgDX18oUMDQUQhAzbsfORJmzVK/f/01fPGFNCVLIxlxJUT6McpcEROjilirV6silp9f/GP29qpnYPfuaiSWLHcvkpFZucLBwYGYmBgqxjUV+k+/fv3ol8JR1pIr9EVFRfH999/j7+/P9OnTDR1OpggPB3d3VbO/fx/c3NT+PXvUoNT27aF2bcPGmGqRkaoSd+oUnDypilSXLiVdpMqbV3WHr1xZbZUqqf5U2bTZvsg8MuJKCAM6fx7q14dPP4UJE6Q+YnAajRrqkCuXajwwYYLqqDlzpiRkIYTBGG2uMDdXQwsaNIC5c9XQgrVrVSHr4UP44w+1ubioAlbPnmq6iNG8AZGdbNu2jdjY2ET7CxcubIBoTN+pU6f48MMPuXDhAhqNhl69elGuXDlDh5WuHj2CZctUG6cvv1T7bGygeHE1O+7q1fjCVcOGajN6sbFw/TqcOKG2kydVkknYxzBOvnyqSFW1qvqzShUoVEg+w4XJk8KVEKm0ezf4+8POnWo5dBlRawQ0GjXSKk8edZU4axY8e6b6X0nvFqMWGxuLVqvFXEZ2iCzGJHKFuTm8+67aZsyAw4fh779h5UrV3GXmTLWVLq2KWN26QbFiho5aZCO1atUydAhZQmhoKBMnTuTHH38kNjaWPHnyMGvWLLy8vAwd2luLjlYFqbg+4ffuqSnbuXOrz964dShWrVI1HZNYl+LxYzh+XBWpjh9Xo6oCAxMf5+SkClRVq0K1aupPKVKJLMqopwr6+vqSX5rBCSO0bJlaXTx3bkNHIhL580/o21cNlW7QQE2FkX+oFMus6R979+5l2rRpHDlyhOjoaCpUqMD3339PnTp1Uh2r5AphrEw2V0RGwrZt6vN082b9Jr41a6olt7p2VdNPRLZkitPKs2uu2LNnDwMGDODOnTsAdO/enVmzZuHs7GzgyN7ejz+qwfYjR6ouEaC+/nXrpka89u0LOXIYNMQ3CwtTDdOPHVNFqmPH1Aqxr8qZU42eqlYtfitaVIpUwqhlm1UFTSEZCgFqjvy77xrpHfXsaOdO6NgRgoLUcr1bt6rmBuKNMuvzt3v37vTt25d3330XMzMzxo8fz8KFC7l48SIeHh5GFasQ6cUkc0VAgOpg/NdfahhZ3LQtS0t4/30YMEDNtZGp2dmKKX3+mlKs6S0oKAh3d3devnyJq6sr8+fPp1WrVoYOK01evozvRxU3umrhQhg4EJo0UV/9jJ5Wq4aEHTsGR4+q7dw5NWwsITMz9f21Rg21Va8OZcuaYLd4kd1J4UoII7J+vaqR1K8PmzaZwJ2d7OL8eWjVSjU7yJdPjbx6911DR2X0DPX5GxUVha2tLfPnz091w13JFcIUZIlc8fixmkb4559qhECcIkXU0IYPPohvHiOyNFP6/DWlWDPCkiVLOH78ONOmTTPp91+qFNy4oVrytW+v9r14ofqR16plpDWd8HDVNP3IkfhCla9v4uPy54d33okvVFWtCnZ2mR+vEOksPT9/5faYEG/Jzk41fXR3l1XEjUqFCuqOVsWKahmZBg1g8WJDRyWS8fjxY6KiosgrU49EFpUlcoWLC4wYoS7EzpyBIUPUSoR378LEierNNW2q5kiGhBg6WiGyHT8/P7p06cKmTZt0+/r06cPPP/9sMkWr4GBYsAA+/FB/f5s2atBRwiEXTk5Qt64RFa18fdWN0s8+U9Oq7e3VcoWjR6uRq76+arRq9eowfLjqKXj3rrop8M8/qjlXgwZStBIiCUY94urx48cUMLp1pIVI7OpVtVqJSTR8zG5CQqBPH3WLDuCTT1QTYvnHSpIh7kxrtVratGnDjRs3uHjxItbJzKOKiIggIkGvncDAQNzc3CRXCJORJXNFaKi6UPv9d9i3L35/rlyqF9bQoZAFGkALfaY0iik7XFdotVqWL1/O8OHDefHiBe7u7ty8eRNLE/mwiY2Nn20cEKAGykdGqtFUZcuq/VFRRvbZGRurPtQPHVILWxw+DP/1EdOTP78aEvbOO+rPypVNdMitEKmXnrnCWOrTSTLCmpoQSSpdOv5nrVbdWGnYEFq0MFxM4j+2tmopmSlTYPJkmDNHjRRYtUqNHhAGN2zYMI4ePcr+/fuTLVoBTJ06lcmTJyfaL7lCmIosmSty5oSePdV2546aRrh0qfp5wQK11a+vClht2xrR0AiR3WTVXPHw4UMGDx7Mli1bAKhYsSK///67SRStTp9WTdUdHNQsZFA/f/KJWvshYf94g7+diAg4eVIVqOKKVS9f6h+j0ahCfdxqrbVqqanU0kBdiLeWphFXT58+JTo6GpfXXPQFBwfz+PFjXF1dyZHKqnJcZc7Hx+e1ryGEMVq9Gjp3Vt/Nb96EFPaZFplhwwbo3VstKVygAKxYAfXqGToqo5LZd9E//fRTlixZwu7du6lUqdJrj01uxJXkCmGKsnSu0GrV6Kt581Rzr5gYtb9QIRg0CPr3lxsHJs4UR1xltVyh1WpZuHAho0aNIjAwECsrKyZOnMjo0aONtmgVEqLqP05O6vfz51VHB2trePZMDdQ0GgEB8UWqgwdV0SrhCqugCvc1aqgiVe3aanqgg4Nh4hXCCBmsx9Vff/1F2bJlKVOmDJUqVcLNzY1169YlOm7MmDHkzZuX+vXrkydPHr7//vu3ClIIU9K2rZqX/7//ZbELkaygbVs4dUrdDfP1VUMdJk+Ov6gSmWrkyJEsWbKEXbt2vbFoBWBtbY29vb3eJoSpytK5QqNRfVrWrFH9W8aPV0MnHj1SvbDc3FR35e3b41cpFEKkyqFDhxg0aBCBgYHUrFmTs2fP8sUXXxht0WrWLDUFMOFlYfnyaiD8xYtGULTy9VV3FD75RFXTHB3VIj9Tp6riVUSEegMdOsCPP8KJE+Dvr5aL/fpraNZMilZCZKBUjdc+c+YMa9asofR/Y91nzJhB165duXDhAp6engAsWrSIefPmcfjwYapUqcLOnTtp2bIlXl5etDDpsfBCpIyVlVqeN6HnzyEoKAtenJiiEiVU0/ahQ+GPP2DSJDUyYNkyNRpAZIrRo0ezcOFCNmzYQLFixfD39wfAxsYGG5PtXC1EymWbXOHmpqpzEyeqXoO//KIuAv/5R20lSqgmxX36GMGVqxCmo06dOgwYMIAyZcowbNgwzM3NDR2STmys+t+8YkXVnxzUV6zQUDVwKY5GA8OGGSRE8PaG/fvhwAG13byZ+JjixdVIqjp11Fa8uEz7E8JA3qo5e0xMDDly5ODnn3+mf//+ANSoUYPSpUvzxx9/6I5r3LgxuXLlYv369Sk6b1Yd0iuyp5gYaNlSDfRZu1a1+hBGYtkyGDxYjV13dIT589XcnWwss6Z/FChQgPDw8ET7x44dy9ixY1N0DskVIivJVrni8mVVtfvjDzUdByB3bjWN8JNPoGBBQ0YnUkCmCma+Gzdu8Pnnn7NgwQKjfx9Nm8KuXWox5w8+UPvCwlSz9apVDVD70Wrh1i1VoNq/X2337+sfo9GoIWB166oiVe3aMqVZiLdkNM3Zb9y4QVRUFG5ubgDExsZy7tw5Poj7hPpPrVq1WCzL0ItsKiBA9W4MC9NvMimMQM+eakniHj3U1WKXLrBpE8ydqy6iRIbx9fU1dAhCGJVslSvKllXzhr75BpYsgdn/b+/O46Ku9j+Ov9lUUMAVtwTJNNzSEjVNEyu1LCvrVmZ1S7NNs/WXZbey5XZtT8vKm+V1yWyxq2WLeTWXNLFccN9ScUEUFxQEQZbz++PEwAgIgywz8Ho+HvPQOXyXw8wwn5nP95zPGW9HO7z+uvTOO/Y9+bHHpA4dKrqnQIXLysrSuHHj9NxzzyktLU21atXS559/XtHdcti/35YQHT48NyHVq5e0cqVz7XJ/f6lz53LqlDHStm02QbV4sf03Pt55Gx8fm0Xr2dN2+LLL7EVMAG6pxImr06dPa9iwYerUqZOuuuoqSVJycrJOnz6tevXqOW1br149HTlypNBjFVRwV5K8GIqJSqBuXVvTcdWq3CV9JSktTWJGlBto1Ur67Tdbn+DVV+0orF9+sSthXXddRfcOxUCsQGVQJWNFrVrSiBHSQw9J339vi98sW2ZHYk2ZYr9MPvqodP319ksmcA48MVZs3bpVQ4YMUXR0tCSpT58+Gjt2bAX3Ktfp0/b9KinJTgu87DLb/sgj0pNPluN7V06iavHi3NuhQ87bVKtmC6lffrm9de/O9GTAg7hUnD1HZmamBg8erP379+u///2vY061719LHJ8+fdpp+/T09LMWChw7dqyCg4Mdt5wRXAEBASXpHuB2qlfPDeaStHOnXR33009trEUF8/OTXn7ZfmFq1Uo6cEAaMEC66y67zA3cGrEClUWVjRXe3jY59euv0ooVdvSrj48dJXHTTfZ9efx4WwAMKCFPihVZWVl688031bFjR0VHRyswMFCTJk3Szz//rLCwsArpU0aG9MMP0muv5bZVqyYNHGhn1eVdZyEwsIyTVsZIW7faEg+DBtkpfa1b2yT4l1/apFX16jb5PWaMtGiRLaS+dKkd6dm3L0krwMO4nLjKysrSnXfeqd9//12LFi1SaGio42c1a9ZUnTp1FH/GUMz4+HhHMqogo0eP1okTJxy3ffv2udotwKO8955dvOSzzyr5lxFP062bFBMjPfWU/SL12WdSRISdysITBaCcVclYceml0hdfSLGx0ujRdijarl126mCzZvZL6LFjFd1LoEy98847GjVqlNLT09WvXz9t2rRJw4YNq9BRY3v32oHo//iH86y7Tz+1OeeePcvw5Dk1qiZNkgYPtnXwzkxU1aiRu1r0kiU2UbV4sV2EJyrKzlUE4LFcKs6ek7Ravny5Fi9erPPPPz/fNjfffLOOHTumRYsWSZKMMYqIiFCfPn00YcKEYp3Hkwo+AiWRlWXLe/ztb1LOhbPsbFsbwANHsldOK1dK991n12iW7NLuEyZIbdpUbL/KmCe9/3pSX4GSIFbILkM2bZpdfn77dtsWGGinGD72mNSwYYV2r6rypPdfT+prjpMnT6pnz54aOXKkhgwZUu4Jq/h4e83Ox8dey8tx4432vWjUqHJYiDk21o6Uyrnt3+/88+rV7XS/3r3tyKquXW0bALdRmu+/LiWu/v73v2v27NmaMWOGU9IqJCREISEhkqS1a9eqW7dueuSRRzRgwABNnTpVs2bNUkxMjJoXc33nnF8wPj5ejRo1cu03AjzUG2/YC0QffSTlGciIipSRYb8svfiirZjs62vXbR4zRgoOrujelQlP+oBPrEBVVGVjRXa2XW7xn/+U1q+3bTVqSEOH2mI6BVxMRdkhVpSubdu26aOPPtI777wjb287ISY7O9vx//L20092ldMGDaS4OFtRocwdOJCbpPrlF2n3buefV6tmR2T27m1vXbtW4gKAQOVQYYmrTp06ORVRzzF8+HANHz7ccX/FihV64403tHfvXrVs2VL/+Mc/1L59+2J3qrIsWwsUV1KS/QJy4oQ0fbpd7A5uJDZWevxxac4cez8kxBZzHzrUJrMqEU/8MkKsQFVBrJBNYH33nTR2rPT777bN29vWwnriCTvlG2WOWFE6srKy9N577+nZZ59VWlqaPvjgA6fvVOVhxQo7oLx3b2nYMNuWmSndcost93nHHWU0kOnoUTuV75df7G3rVuef+/jYZQh797ZTALt3lzyoThmACkxclRd3DjBAWdm8WZo82S6qlDMiPDnZzoiAm/j5Z7tUTs50lbZtpbfekvr1qzTzdvgyArg3YsVfjLFDz157zb435+ja1Y6MveUWO0IDZYJYce7+/PNPDRkyRMuWLZMk9e3bV5MmTXKqH1xWjMl9/xg/3s667dw5NxdcJpKTbTGshQttomrdOufifV5e0iWX5I6o6tmzCr6xAZVLacaKihl/CiCfNm1sDiTng0Rmpr1wfOuttjgv3EC/frbm1bhxUp060qZN0jXX2CuBfy1VDQBliVjxFy8vW3B53jz7vjx0qE1UrVxph6KFhtpp3gkJFd1TwEl2drY++OADdejQQcuWLVOtWrX08ccfa968eWWetPrkE+nii6X//S+37fbbbcm4998v5ZOlp9vk8gsv2OVS69aVrr1WeucduxCOMfYNbeRIafZsOwJr1Sqble/fn6QVACckrgA3tWyZtGWLvShFrUk3Uq2a9Oijdp36J56w9xcvtt8cr79eWru2onsIoAohVkhq184ubbZ3r/Tyy3bFsUOH7OpioaF2oY0zpyEBFWTkyJF6+OGHlZqaqt69e2vDhg267777yqQA++nTzvdjYuxt+vTctpAQO1Wwa9dzPFlWlk08vf661LevvcAXFWVLK/z2m82yh4dL994rff65rQC/aZNdPvXGG+32AFAIEleAm4qKsjmQKVOcY/kPP0hpaRXVKzjUqSO9/ba0Y4e90u/tLc2da4e533ijtGZNRfcQQBVArMijYUPp+edtXcKZM+3cp/R0O8ykTRvptttyC7sDFWTo0KEKCgrS+++/rwULFhR78SpXZGdLw4fbP4ldu3LbH3hA+uADOz3wnBljE8IffGBrzNWvb//mnnnGDuk6dcp24Pbb7d/grl329sknts1NC+UDcE/UuAI8yB9/SF262KWIN22Satas6B7BYetWe1Vx5szcmg39+knPPmvrNHhIDSzqlgCej1jxF2PskLS33rIF3XMMGCA9/bSdvoQSIVYU38GDB/Xbb7/ppptucrSdOHFCwaW8OvHx41Lt2rn3+/a1+aM33pCeeqqUTnLggK1RtWCB/TcuzvnnQUE2m37llbaMQtu2HvP5B0DpqzI1rspiyCzgyQ4fls47T7r8cucvIu6Xfq6CIiKkGTNs5eQ77rAjsH7+WerVy66EM2uWHUaPUkesAJwRK/7i5WUvHHz7rS0Efeuttm3uXKlHD5u4mj2b9+YqoiJixaxZs9SuXTsNGjRI6/OM9ivNpNXhwzZX1Ly5lJqa2/7ii3YK8ZNPnsPBjx+3fz8jR9pRi02bSn//uzRtmk1aVa9uE1SvvmprfR49ard/5BE7hZf4DKCUuPWIK0+4igOUt7Q0KSVFqlfP3j9yxH72fvBB+znBx6di+4e/7NplC4z+5z92qopkazuMHCkNGeJ8WdSNeNL7ryf1FShvxIpCbNtmp3lPnZpbAKh5c+nhh23tHTd9b3Y3nvT+WxF9TUxM1MiRIzVjxgxJUseOHTVjxgy1adPmnI+dnW1zRs2a5d5v0ULas8deL+vT5xwOnpZm61HljKpatcqeIIeXl9Spkx1RdeWVNgHs739Ovw+Ayqs0339JXAEe7tVXpeeekyIj7TLGXNxyMwcP2voPH31kr0RKUkCAdNdddhmf9u0rtn9n8KT3X0/qK1DRiBVnOHjQLqP273/nvjf7+9sRs8OH26XXUChPev8t774uWLBA99xzj+Li4uTt7a1nn31Wzz//vKpVq3bOx169Who4UKpVy04Dzvk7XrrUXhvLSWYVW3a2rda+YIG9/fpr/uJ4rVrZJNVVV9mhXXXrnvPvAaBqIHEFwCE93Y7YPu886ZprbFtGhvTYY3Y09zmvEoPSkZpql/GZMEHauDG3/dJLpfvvt1NY3KAQjSe9/3pSX4GKRqwoxKlTdpr3+PHO782dO0vDhkmDBtm6PXDiSe+/5dnXUaNG6c0335QktWzZUtOmTdOll15a4uOdOCElJtpBgTn3GzWSatSw6wy4nKgyxo4Iz0lU/fKLdOyY8zaNGuUmqq68sgQnAQCryiSuDh48qIYNG1Z0dwCP89VXdvGkkBBp3z6pFC7yobQYYy+NTpggzZljl4eWpMBAm7waMsTWxKqg4RCe+GWEWAGUDLEiD2Ok5culDz+0NQkzMmx7QIB08802u9e7dxWeY+mMWFGwt956S0899ZSGDx+uN954QzXP4YLU55/b2atXX21LseVYscIOCKxRo5gHOnzYJqhyklWxsc4/DwzMLah+1VW2llWVH5IJoDSUZqzwLaU+lYnsvHOqARRb27bS3XdLLVs6fxF5/XVbQzMyks8kFcbLyxZs79VLOnTIrmE/aZK0c6f06af21qKFNHiwnbJy4YUV3WO3R6wASoZYkYeXl63X06OHNG6cHSH76afSli32/9On2+Fqt99u3587dKhCD07lUBaxIjMzU/Hx8Wr216ikxx9/XN27d1f37t1dPtaOHTZP2rSpvd+hg521t3u3vcbl+9e3tm7dijhQaqqd8peTqIqJcf65n589SE6dqi5dbBsAuDG3HnHFEudA6Vm3TurY0X42iY/PLdgLN2CM/ZA5ZYodApGSkvuziy+2I7FuvVU6//wy74onXkUnVgClh1iRhzF2pbRp06QvvrArrOWIiLDvy3/7W5VcPY1YIe3cuVN33nmnEhMTtWbNGgUEBJT4WM8+K40dKz31lPTGG7ntGzYU4+WVlWWLX+UkqpYvz114IEf79rZq+1VX2ZU2a9UqcV8BoLiqzIgrAKXH19deKPb2dv4i8s9/2nIGt9wileLqzHCFl5ddt/7yy22x4O++kz77zC4PtHatvY0ebZNYN91kb61bV7kvSgDKHrEiDy8vOzKlWzfp3XelH3+UZs6U5s6Vtm6VXn7Z3i680FbMvvFGWxvL27uie44yZIzRp59+qscee0wpKSkKCgrShg0b1LWYheKys23FgEsuyS2f1qWLfdkcPuy8bYHrtxgj/fmnTVL973/SokXOSVXJ1qW66iqbrLriConp9AA8HCOugCrGmNx8x4kT9rNMerq9yn7RRfm3QQU6csQWtvjyS/vBNO80hxYtpAED7K1Hj1IrTsNVdAASseKskpKkb7+1tbDmzXMe3dKokXTttdJ119nEQSUd2VJVY8WRI0d03333ac6cOZKkXr16aerUqQoLCyv2Ma691uZAP/5Yuu8+25aRISUk5E4TLODE0sKFNlG1YIG0Z4/zz4ODbYIqJ1l1wQVV9I8TgDspzVjBJSGgisn7OcYYacwYe6E471W90aPtSPJ588q/f8ijfn37qXbBArt0+6ef2k+81arZmljjxtn6FPXr2yfx44/zF10FgBIgVpxFUJB01102eXX4sK2ifdtttsh1znv1wIF2yNqVV0pvvmmXgHO/a8Vwwc8//6z27dtrzpw58vPz0+uvv66FCxeeNWmVlib997/O152iouxL5cSJ3DY/vzOSVmlpNlH1zDNSp052BYVBg+xra88eu0OvXtIrr9hq7UeO2BMNH26L1pG0AlDJMOIKQD6tWtkioV9/bct3SPaz+e+/2w9c57BIDkpDcrK96jp3rvTDD/nnFrRokTs9ICpKatCg2IeuqlfRAbiOWHGG9HRpyRL7vvz999KuXc4/DwnJLYgdFWXrFnpogqGqxQpjjK6++mrNnz9frVu31ueff66OHTuedZ+sLBuO9+yRFi+2eSZJOnnSTgt0KomVnW2Tm//7n739+qtNXuXVrp2N7X362NICVe4PDICnKc1YQeIKQD779klz5tjVv3NqmUyebJdlvuwyadmy3G2zsynnUaGys6U1a6SffrI1saKj7aflvNq1y62h1bOn1KRJoYeral9GAJQcseIsjLFZvXnz7G3JErvaW17nnWezGTmrGbZp4zEPUlWMFQcOHNC4ceP00ksvyd/fP9/PExNt7aobbshtu/9+G57Hj7flKZ3ExeUmqhYssHMF82rcODdRddVVdhoqAHiQKpO48oRgCFQVn3xii/Pec4/04ou2LStLat7cftaePt1eTEYFS0qyX5AWLLB1sTZsyL9N8+ZS9+624HDXrnbN7b9qZHnS+68n9RWoKogVhTh92l5YWLjQvjdHR9vCRnnVri1deql9f770UikyUqpTp0K6WxRPev8tSV+NMXr//fe1c+dOjR8/vsjtjxyRQkPtIKk9e2xtdMlOB6xVS/LxkV0xeOlSaf58e9u82fkgNWvaRGbfvjZR1aaNx47IAwCJxBWACmKM/ZydUwd87drcVXGOHfvrg5mkSZOkLVvsylSdO1dcfyE7b2fpUjvtYOlSW1k5b7ENyT6hF18sRUYqqW1bBQ8f7hHvv8QKwD0RK4ohNdXWJvr1Vzs0bcWK/COyJDsfMzLS1jnq1Mm+V7vB+50nvf+62tdDhw5pyJAh+umnnyRJy5Yt02WXXea0zcGD0saNNr+Uo3dv6ehR+7ru2lU21sbE5Caqli93LuTv5WWf27597aiqbt1KbaEVAHAHpRkrfEupTwCqAC8v589UHTrYPMju3blfRCTps89sjqRt29wvI4cOSR9+aJd8vvba8u13ldaggXTzzfYm2fpYK1faD9DR0bYYzbFjtm3lyortK4BKgVhRDAEBufWuJJvpW7/eJrB++82+N+/cKW3fbm+ff5677/nn2wRWhw62Wv5FF9khbR4yzdCdzZs3T3fffbcSEhJUvXp1vf322+revbvTNqtX28RUcLCd7Vejhm2fM0cKSomX1//mS+/Nt1MAz6xBGRZmE1V9+9o6lHXrls8vBgAezq1HXB08eFANGzas6O4AcNFXX9kvI48+ahe3kewHuoEDpY4d7dX3HJMmSb6+Uv/+drl1lDNjpD//lFatklatUlJ0tIJ/+82jrqITKwDPRKwowtGj0h9/2Pfn1avtbd++grcNCLBTy9q2tf9GREitW0vh4faBK2WeOOLqbLEiPT1dzzzzjMaNGydJateunWbOnKl27dopLk6Kj7eDoyQ79fX8822Jss8+TVf4/l9tjcmff84/Pb9WLZug6tNH6tdPuuACpv8BqDKqzFRBCu4ClUd0tDRxov0MPWZMbntoqP0c/uuvtjatZD+nf/GFrSN+440V0t0qyxO/jBArgMqDWFGEo0ft8LW1a+0IrQ0bpE2bnKeg5eXnZ5e2a9XKZgdbtrTJkxYtbOalhEmtyhQrjDHq27evFixYIEkaOXKkXn/9dfn7++vbb+2A5Xbt7EPuJXuxJ/G/i1Rn6be2XtmpU7kH8/KyUzr79bOjqrp1s88BAFRBTBUE4HEuvdTe8srKskuor1tnLxLnWLJEeucdaf9+5y8jAwbYi8pvvZVb+PTUKfuZsAwuKAMAyhmxogj16tkRPFdckduWmWlHzm7aZG9bt9riYdu22V9861Z7O5Ovr526Fh5ub82b2wxhWJi9NWlSCR6wonl5eenhhx/WunXr9M47k3XZZdcpZ9HAnj0lPz+joMxjSrp/rIJ/mS3t2iWnkvmNG9tEVb9+tuhV/foV8WsAQKVW+aMRALfl42O/dJypc2c7daRTp9y29HTpxx9trdP33stt/+gjadQo6cEHpQkTctunTrWfHXv3tl9gAACeiVhRBF9fOzUwIiK3nqFkH4T9+20Ca/t2m9zascP+u3u3HaW1c6e9FcTb2yZlzjsv99a0qU1oBQeXz+9WRk6cOKGtW7eqa9eukqQbbrhB+/dfoaFDA3XjjdJXY3dKP/yguj/+qN3ZW9Ro015p0187+/nZYX9XX21v7dsz/Q8AyhiJKwBup1cve8vLy0uaPdt+vs67lPqePfZqfGBgbltGhjRkiC3fdPBg7peRTz6R/vMfadAgaeTI3O3nzbP1UTt2ZEEfAPAUxIoieHvbEVShobbGUl7Z2dKBA9KuXTaJFRtr/9271z5Y+/bZByguzt4qcPGO1atX6+2339aePXvUsmVLjR49WhdeeGGJj7dy5UoNGjRISUlJWrZsvVq3biplZKhH9S3KyOiiA9+vVtbXXeQjuwJvI8k+hv37S9dcY7OceV9IAIAy53LiasWKFfroo4+0Zs0avfbaa7ruuusK3ObNN990BJjnnntO7dq1K5UOA6iaqlWTrr8+f/u770rPPOO8mFJKip0qEh9vF9XLsXGjXawppz6KZD+XX3ON/f/hw7kj/D/8UJo8WbrjDunxx3O3//BDe6F54MDcLzmnTtnzV69eOr9rVUGsAFDaiBXF5O2dO4rq8svz/zw7W0pIsAmsffts8mr/fpvsOnDAtu3YUebd3LBhg3r27Klhw4ZpyJAhmjZtmrp3766YmBg1y5kHWkzZ2dl644039I9//EOZmZny9g7Xu8NX6OOQr6Wff1aHEye0WRFqfWqrHcXWs5d90q+91ha6Z1QVAFQYl9bNfe+99/T444/riiuu0KZNm3T8+PF826xdu1a9e/fWBRdcoHHjxqlWrVrq0aOHYmNjS6nLAJArZyZD3oWCateWvv3Wriae90vKQw9Js2ZJt9+e25acbKeZNG/uvCr1jh12AaeDB3PbTp+WRoyQ7rxTSkvLbX/rLbsc9ogRzn3r31+66SZbSzfHH3/YaSpLlzpvu3GjPWdGhquPgGciVgAoT8QKF3l7S40a2fmYN91kh569/ro0fbq0cKFd6bAcvPLKK4qMjNR7772nPn36aOrUqapbt67eeustl49111136emnn1ZmZqa6BbVRdvZabVzcROarr6QTJ6QGDdT6nkulr7+2T8Yvv0hPPWVXaSRpBQAVyqXE1X333afo6Gjdc889hW7zz3/+U926ddMbb7yhnj17atKkSWrYsGGJAgwAlKYLL7TlPzp2zG2rW9d+/t692/mLy4gR0ty50l135balp0u33CJdeaVzeY+cHH7NmrltGRnSTz/ZKSt5P+/+9JP9/D9jhnPfOne2iz4dOJDb9v779ovVmV9ybrjB1oDNuyr6r7/aq/3TpztvO22a9Omnzl+IDhywn8c3bnTeds8eO0ukPBArALgrYoXlDrFi4cKFuvbaax33vb291b9/fy1cuNDlYy1atEg1JH0saUnSVv2g2/Vru+HyevZZacUKm338z3/sSgBuvlIiAFQ1Lk0V9M9ZYuMsFi1apNGjRzvue3l5qX///po/f77LnauZN7IDQDm64AJ7yyswUPrqq/zbvvmm9MIL+S/IfvaZvYib9/NvRIT9TBwZmduWnS3VqSOdPOn8hSYpye5/5irnCxfaKS6Zmblta9dK48ZJt93m/AXqqafsbI/One1iVJKt03LvvdJ119kvXDmuuMKWOykPxAoAlQGxouykpKTo2LFjatKkiVN7kyZNtPcsmbP09HSlp6c77iclJUmS/BSqaO1Th6he0g03qP8NN9jVFAEAbq9Ui7OnpKQoMTFRjRs3dmpv3Lix9uW93HOGwgIMAHgCb+/8Cyz5+dmaJ2e69VZ7O3P/vFfPc4wYYa/an5mXmTJFSk11LjwcGWnrt7Rv77ztNdfYK+h18qzdHRRkl5QPC3PetkYNe66UlAJ/zVJDrABQFRErXJPx13zI6mcUBfP393f8rCBjx47VSy+9lK/9h+FPq8OYvzk/IAAAj1CqiavMvy7pVDtjqZXq1auXKMAAQFVWu7a9nelvf8vf1r27vZ1pypSC9y/oGJs22Sv3Zb3KObECAEpPZY0VgYGB8vPz09G88xclHTlyRPVyhoUVYPTo0XriiScc95OSktSsWTN1HXsnUwABwEO5VOOqKIGBgapWrVq+AHP06FHVz1l+pQCjR4/WiRMnHLecK+5peStaAgAqBWIFAKAoPj4+6tChg/744w+n9pUrV+qSSy4pdL/q1asrKCjI6SYRKwDAk5Vq4srb21sdO3bUypUrndp/++03derUqdD9CgswWVlZpdk9AIAbIFYAAIpj2LBhmjVrljZs2CBJWrJkiX755RcNGzbM5WMRKwDAc5Vq4kqSHnjgAc2aNUurV6+WJM2fP1+LFy/W/fffX9qnAgB4KGIFAKAo999/v4YMGaLIyEi1aNFC/fr10/PPP6/rr7++orsGAChHLtW4io6OdrrCMXr0aL322mu6+eabHXVHhg4dqm3btumyyy5TvXr1lJiYqLFjx6p///6l23MAgMciVgAAiuLl5aXx48drzJgxiouLU2hoqILLurgWAMDteBljTHE3TklJ0e7du/O1161bN99StcnJyTp48KCaNm2qgIAAlzqVlJSk4OBgHThwIN+qUwCAspPz/nvixAnHVLyyRKwAAM9T3rHiXBArAKBilGascGnEVc2aNdWuXbtibRsYGKjAwMASdQoAUDUQKwAAAACcTanXuAIAAAAAAABKg0sjrspLzuzF5ORk1axZs4J7AwBVR1JSkqTc92F3RqwAgIpBrAAAFKU0Y4VbJq6OHj0qSbrwwgsruCcAUDUlJye7fQFcYgUAVCxiBQCgKKURK9wycVW3bl1J0t69e90+GMI9JCUlqVmzZtq3b5/bFwmFe+A1UzBjjJKTk/MtuOGOiBVwFX/3cBWvmYIRK1CZ8XcPV/GaKVhpxgq3TFx5e9vSW8HBwTzxcElQUBCvGbiE10x+nvLBnliBkuLvHq7iNZMfsQKVHX/3cBWvmfxKK1ZQnB0AAAAAAABuicQVAAAAAAAA3JJbJq6qV6+uMWPGqHr16hXdFXgIXjNwFa8Zz8dzCFfxmoGreM14Pp5DuIrXDFzFa6bseRlPWMcWAAAAAAAAVY5bjrgCAAAAAAAASFwBAAAAAADALZG4AgAAAAAAgFvyragTb9++XSdPnlTbtm2LXcSsJPugcjDGaOvWrUpPT1fbtm3l5+dX7H337t2rvXv3qk2bNqpbt24Z9hLuJDs7W5s2bZIktW3bVt7eRefpU1NTtWvXLknS+eefr4CAgDLtI4pGrIAriBVwFbGiciBWwBXECriKWOEGTDmLj483Xbp0MbVr1zbnn3++qVu3rvn+++9LfR9UHjt37jTt2rUz9evXN2FhYaZRo0ZmyZIlxdr36NGjJiwszEgys2fPLtuOwm3ExMSY8PBw07hxY9OkSRMTHh5uYmJizrrPhAkTTFBQkGndurVp3bq1CQoKMhMmTCinHuNMxAq4ilgBVxErPB+xAq4iVsBVxAr3UO6Jq+uuu8507drVpKamGmOMeeWVV0ytWrXMoUOHSnUfVB7dunUzffv2NRkZGcYYYx599FETEhJikpOTi9z3hhtuME8//TQBpgrJyMgwLVu2NHfccYfJzs422dnZZtCgQaZly5YmMzOzwH327NljvLy8zKRJkxxtEydONF5eXmbPnj3l1XXkQayAq4gVcAWxonIgVsBVxAq4gljhPso1cXXw4EHj5eVlZs2a5WhLTU01NWvWNO+//36p7YPKY/PmzUaSWbx4saMtISHB+Pj4mJkzZ5513/Hjx5vLL7/cHD16lABThfzyyy9Gktm6daujbePGjUaSWbRoUYH7rF692kgyGzdudLRt2LDBSDJr1qwp6y7jDMQKuIpYAVc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          "text/plain": "<Figure size 1200x400 with 3 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}