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    "# Advanced Physical Modelling\n",
    "\n",
    "In the previous tutorial, we simply modelled the chemistry of a static cloud for 1 Myr. This is unlikely to meet everybody's modelling needs and UCLCHEM is capable of modelling much more complex environments such as hot cores and shocks. In this tutorial, we model both a hot core and a shock to explore how these models work and to demonstrate the workflow that the UCLCHEM team normally follow."
   ]
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   "source": [
    "import uclchem\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f16b89d9",
   "metadata": {},
   "source": [
    "## The Hot Core\n",
    "\n",
    "### Initial Conditions (Phase 1)\n",
    "UCLCHEM typically starts with the gas in atomic/ionic form with no molecules. However, this clearly is not appropriate when modelling an object such as a hot core. In these objects, the gas is already evolved and there should be molecules in the gas phase as well as ice mantles on the dust. To allow for this, one must provide some initial abundances to the model. There are many ways to do this but we typically chose to run a preliminary model to produce our abundances. In many UCLCHEM papers, we refer to the preliminary model as *phase 1* and the science model as *phase 2*. Phase 1 simply models a collapsing cloud and phase 2 models the object in question.\n",
    "\n",
    "To do this, we will use `uclchem.model.cloud()` to run a model where a cloud of gas collapses from a density of $10^2 cm^{-3}$ to our hot core density of $10^6 cm^{-3}$, keeping all other parameters constant. During this collapse, chemistry will occur and we can assume the final abundances of this model will be reasonable starting abundances for the hot core."
   ]
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    "# set a parameter dictionary for cloud collapse model\n",
    "param_dict = {\n",
    "    \"endAtFinalDensity\": False,  # stop at finalTime\n",
    "    \"freefall\": True,  # increase density in freefall\n",
    "    \"initialDens\": 1e2,  # starting density\n",
    "    \"finalDens\": 1e6,  # final density\n",
    "    \"initialTemp\": 10.0,  # temperature of gas\n",
    "    \"finalTime\": 6.0e6,  # final time\n",
    "    \"rout\": 0.1,  # radius of cloud in pc\n",
    "    \"baseAv\": 1.0,  # visual extinction at cloud edge.\n",
    "    \"abundSaveFile\": \"../examples/test-output/startcollapse.dat\",  # save final abundances to file\n",
    "    \"outputFile\": \"../examples/test-output/phase1-full.dat\",\n",
    "}\n",
    "if not os.path.exists(\"../examples/test-output/\"):\n",
    "    os.makedirs(\"../examples/test-output/\")\n",
    "result = uclchem.model.cloud(param_dict=param_dict)\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "With that done, we now have a file containing the final abundances of a cloud of gas after this collapse: `param_dict[\"abundSaveFile\"]` we can pass this to our hot core model to use those abundances as our initial abundances.\n",
    "\n",
    "### Running the Science Model (Phase 2)\n",
    "\n",
    "We need to change just a few things in `param_dict` to set up the hot core model. The key one is that UCLCHEM saves final abundances to `abundSaveFile` but loads them from `abundLoadFile` so we need to swap that key over to make the abundances we just produced our initial abundances.\n",
    "\n",
    "We also want to turn off freefall and change how long the model runs for.\n"
   ]
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     "text": [
      " At T(=R1) and step size H(=R2), the                                             \n",
      " corrector convergence failed repeatedly                                         \n",
      " or with ABS(H) = HMIN.                                                          \n",
      "In the above message, R1 =   0.7282869807308D+13   R2 =   0.1314147544832D+02\n",
      " ISTATE -5 - shortening step at time   230010.00000000000      years\n"
     ]
    }
   ],
   "source": [
    "# change other bits of input to set up phase 2\n",
    "param_dict[\"initialDens\"] = 1e6\n",
    "param_dict[\"finalTime\"] = 1e6\n",
    "param_dict[\"freefall\"] = False\n",
    "\n",
    "# freeze out is completely overwhelmed by thermal desorption\n",
    "# so turning it off has no effect on abundances but speeds up integrator.\n",
    "param_dict[\"freezeFactor\"] = 0.0\n",
    "\n",
    "param_dict[\"abstol_factor\"] = 1e-18\n",
    "param_dict[\"reltol\"] = 1e-12\n",
    "\n",
    "# pop is dangerous, it removes the original key so you can't rerun this cell.\n",
    "param_dict[\"abundLoadFile\"] = param_dict.pop(\"abundSaveFile\")\n",
    "param_dict[\"outputFile\"] = \"../examples/test-output/phase2-full.dat\"\n",
    "\n",
    "result = uclchem.model.hot_core(\n",
    "    temp_indx=3, max_temperature=300.0, param_dict=param_dict\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4a5756d",
   "metadata": {},
   "source": [
    "Note that we've changed made two changes to the parameters here which aren't strictly necessary but can be helpful in certain situations.\n",
    "\n",
    "Since the gas temperature increases throughout a hot core model, freeze out is much slower than thermal desorption for all but the first few time steps. Turning it off doesn't affect the abundances but will speed up the solution.\n",
    "\n",
    "We also change abstol and reltol here, largely to demonstrate their use. They control the integrator accuracy and whilst making them smaller does slow down successful runs, it can make runs complete that stall completely otherwise or give correct solutions where lower tolerances allow issues like element conservation failure to sneak in. If your code does not complete or element conservation fails, you can change them.\n",
    "\n",
    "### Checking the Result\n",
    "With a successful run, we can check the output. We first load the file and check the abundance conservation, then we can plot it up."
   ]
  },
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    {
     "data": {
      "text/plain": [
       "{'H': '0.000%', 'N': '0.000%', 'C': '0.000%', 'O': '0.000%'}"
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   ],
   "source": [
    "phase2_df = uclchem.analysis.read_output_file(\"../examples/test-output/phase2-full.dat\")\n",
    "uclchem.analysis.check_element_conservation(phase2_df)"
   ]
  },
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       "      <td>1.000000e-30</td>\n",
       "      <td>1.000000e-30</td>\n",
       "      <td>3.794320e-08</td>\n",
       "      <td>8.980210e-29</td>\n",
       "      <td>6.178940e-22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>283 rows × 343 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Time    Density  gasTemp  dustTemp      Av  radfield  zeta  \\\n",
       "0    0.000000e+00  1000000.0     10.0      10.0  193.88       1.0   1.0   \n",
       "1    1.000000e-07  1000000.0     10.0      10.0  193.88       1.0   1.0   \n",
       "2    1.000000e-06  1000000.0     10.0      10.0  193.88       1.0   1.0   \n",
       "3    1.000000e-05  1000000.0     10.0      10.0  193.88       1.0   1.0   \n",
       "4    1.000000e-04  1000000.0     10.0      10.0  193.88       1.0   1.0   \n",
       "..            ...        ...      ...       ...     ...       ...   ...   \n",
       "278  9.600000e+05  1000000.0    300.0     300.0  193.88       1.0   1.0   \n",
       "279  9.700000e+05  1000000.0    300.0     300.0  193.88       1.0   1.0   \n",
       "280  9.800000e+05  1000000.0    300.0     300.0  193.88       1.0   1.0   \n",
       "281  9.900000e+05  1000000.0    300.0     300.0  193.88       1.0   1.0   \n",
       "282  1.000000e+06  1000000.0    300.0     300.0  193.88       1.0   1.0   \n",
       "\n",
       "     point             H            H+  ...          @OCS          @C4N  \\\n",
       "0        1  2.772050e-08  1.276110e-08  ...  7.695200e-07  1.030070e-08   \n",
       "1        1  2.772050e-08  1.276110e-08  ...  7.695200e-07  1.030070e-08   \n",
       "2        1  2.772050e-08  1.276110e-08  ...  7.695200e-07  1.030070e-08   \n",
       "3        1  2.772050e-08  1.276110e-08  ...  7.695200e-07  1.030070e-08   \n",
       "4        1  2.772050e-08  1.276110e-08  ...  7.695200e-07  1.030070e-08   \n",
       "..     ...           ...           ...  ...           ...           ...   \n",
       "278      1  2.603290e-06  1.992350e-13  ...  1.000000e-30  1.000000e-30   \n",
       "279      1  2.606930e-06  1.988970e-13  ...  1.000000e-30  1.000000e-30   \n",
       "280      1  2.610520e-06  1.985600e-13  ...  1.000000e-30  1.000000e-30   \n",
       "281      1  2.614070e-06  1.982230e-13  ...  1.000000e-30  1.000000e-30   \n",
       "282      1  2.617550e-06  1.978880e-13  ...  1.000000e-30  1.000000e-30   \n",
       "\n",
       "            @SIC3          @SO2           @S2          @HS2         @H2S2  \\\n",
       "0    1.158650e-30  1.098210e-12  1.481850e-08  1.379990e-08  2.825310e-08   \n",
       "1    1.158650e-30  1.098210e-12  1.481850e-08  1.379990e-08  2.825310e-08   \n",
       "2    1.158650e-30  1.098210e-12  1.481850e-08  1.379990e-08  2.825310e-08   \n",
       "3    1.158650e-30  1.098210e-12  1.481850e-08  1.379990e-08  2.825310e-08   \n",
       "4    1.158650e-30  1.098210e-12  1.481850e-08  1.379990e-08  2.825310e-08   \n",
       "..            ...           ...           ...           ...           ...   \n",
       "278  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30   \n",
       "279  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30   \n",
       "280  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30   \n",
       "281  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30   \n",
       "282  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30  1.000000e-30   \n",
       "\n",
       "               E-          BULK       SURFACE  \n",
       "0    1.303430e-08  4.601750e-01  4.981620e-06  \n",
       "1    1.303430e-08  4.601750e-01  4.981610e-06  \n",
       "2    1.303430e-08  4.601750e-01  4.981610e-06  \n",
       "3    1.303430e-08  4.601750e-01  4.981610e-06  \n",
       "4    1.303430e-08  4.601750e-01  4.981610e-06  \n",
       "..            ...           ...           ...  \n",
       "278  3.855020e-08  8.944510e-29  6.178940e-22  \n",
       "279  3.839700e-08  8.953440e-29  6.178940e-22  \n",
       "280  3.824470e-08  8.962360e-29  6.178940e-22  \n",
       "281  3.809350e-08  8.971280e-29  6.178940e-22  \n",
       "282  3.794320e-08  8.980210e-29  6.178940e-22  \n",
       "\n",
       "[283 rows x 343 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phase2_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8b0ad769",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:06:39.706872Z",
     "iopub.status.busy": "2026-01-23T14:06:39.706704Z",
     "iopub.status.idle": "2026-01-23T14:06:40.527271Z",
     "shell.execute_reply": "2026-01-23T14:06:40.526562Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1600x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "species = [\"CO\", \"H2O\", \"CH3OH\", \"#CO\", \"#H2O\", \"#CH3OH\", \"@H2O\", \"@CO\", \"@CH3OH\"]\n",
    "fig, [ax, ax2] = plt.subplots(1, 2, figsize=(16, 9))\n",
    "ax = uclchem.analysis.plot_species(ax, phase2_df, species)\n",
    "settings = ax.set(\n",
    "    yscale=\"log\",\n",
    "    xlim=(1e2, 1e6),\n",
    "    ylim=(1e-10, 1e-2),\n",
    "    xlabel=\"Time / years\",\n",
    "    ylabel=\"Fractional Abundance\",\n",
    "    xscale=\"log\",\n",
    ")\n",
    "\n",
    "ax2.plot(phase2_df[\"Time\"], phase2_df[\"Density\"], color=\"black\")\n",
    "ax2.set(xscale=\"log\")\n",
    "ax3 = ax2.twinx()\n",
    "ax3.plot(phase2_df[\"Time\"], phase2_df[\"gasTemp\"], color=\"red\")\n",
    "ax2.set(xlabel=\"Time / year\", ylabel=\"Density\")\n",
    "ax3.set(ylabel=\"Temperature\", facecolor=\"red\", xlim=(1e2, 1e6))\n",
    "ax3.tick_params(axis=\"y\", colors=\"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c16e7597",
   "metadata": {},
   "source": [
    "Here, we see the value of running a collapse phase before the science run. Having run a collapse, we start this model with well developed ices and having material in the surface and bulk allows us to properly model the effect of warm up in a hot core. For example, the @CO abundance is $\\sim10^{-4}$ and #CO is $\\sim10^{-6}$. As the gas warms to around 30K, the #CO abundance drops drastically as CO's binding energy is such that it is efficiently desorbed from the surface at this temperature. However, the rest of the CO is trapped in the bulk, surrounded by more strongly bound H2O molecules. Thus, the @CO abundance stays high until the gas reaches around 130K, when the H2O molecules are released along with the entire bulk."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a0d5da3",
   "metadata": {},
   "source": [
    "## Shocks\n",
    "\n",
    "Essentially the same process should be followed for shocks. Let's run a C-type and J-type shock through a gas of density $10^4 cm^{-3}$. Again, we first run a simple cloud model to obtain some reasonable starting abundances, then we can run the shocks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a99082bb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:06:40.529408Z",
     "iopub.status.busy": "2026-01-23T14:06:40.529206Z",
     "iopub.status.idle": "2026-01-23T14:06:50.669818Z",
     "shell.execute_reply": "2026-01-23T14:06:50.669075Z"
    }
   },
   "outputs": [],
   "source": [
    "# set a parameter dictionary for phase 1 collapse model\n",
    "\n",
    "param_dict = {\n",
    "    \"endAtFinalDensity\": False,  # stop at finalTime\n",
    "    \"freefall\": True,  # increase density in freefall\n",
    "    \"initialDens\": 1e2,  # starting density\n",
    "    \"finalDens\": 1e4,  # final density\n",
    "    \"initialTemp\": 10.0,  # temperature of gas\n",
    "    \"finalTime\": 6.0e6,  # final time\n",
    "    \"rout\": 0.1,  # radius of cloud in pc\n",
    "    \"baseAv\": 1.0,  # visual extinction at cloud edge.\n",
    "    \"abundSaveFile\": \"../examples/test-output/shockstart.dat\",\n",
    "}\n",
    "result = uclchem.model.cloud(param_dict=param_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e098053c",
   "metadata": {},
   "source": [
    "### C-shock\n",
    "\n",
    "We'll first run a c-shock. We'll run a 40 km s $^{-1}$ shock through a gas of density $10^4$ cm $^{-3}$, using the abundances we just produced. Note that c-shock is the only model which returns an additional output in its result list. Not only is the first element the success flag indicating whether UCLCHEM completed, the second element is the dissipation time of the shock. We'll use that time to make our plots look nicer, cutting to a reasonable time. You can also obtain it from `uclchem.utils.cshock_dissipation_time()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8e7d45a5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:06:50.672070Z",
     "iopub.status.busy": "2026-01-23T14:06:50.671893Z",
     "iopub.status.idle": "2026-01-23T14:07:26.092443Z",
     "shell.execute_reply": "2026-01-23T14:07:26.091480Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Cannot have freefall on during cshock\n",
      " setting freefall=0 and continuing\n"
     ]
    }
   ],
   "source": [
    "# change other bits of input to set up phase 2\n",
    "param_dict[\"initialDens\"] = 1e4\n",
    "param_dict[\"finalTime\"] = 1e6\n",
    "if \"abundSaveFile\" in param_dict:\n",
    "    param_dict.pop(\"abundSaveFile\")\n",
    "param_dict[\"abundLoadFile\"] = \"../examples/test-output/shockstart.dat\"\n",
    "param_dict[\"outputFile\"] = \"../examples/test-output/cshock.dat\"\n",
    "\n",
    "\n",
    "result = uclchem.model.cshock(shock_vel=40, param_dict=param_dict)\n",
    "result, dissipation_time = result"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ff25e62",
   "metadata": {},
   "source": [
    "The code completes fine. We do get a couple of warnings though. First, we're informed that `freefall` must be set to False for the C-shock model. Then we get a few integrator warnings. These are not important and can be ignored as long as the element conservation looks ok. However, it is an indication that the integrator did struggle with these ODEs under these conditions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f947af64",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:07:26.094255Z",
     "iopub.status.busy": "2026-01-23T14:07:26.094084Z",
     "iopub.status.idle": "2026-01-23T14:07:26.159871Z",
     "shell.execute_reply": "2026-01-23T14:07:26.159023Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'H': '0.000%', 'N': '0.000%', 'C': '0.000%', 'O': '0.000%'}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phase2_df = uclchem.analysis.read_output_file(\"../examples/test-output/cshock.dat\")\n",
    "uclchem.analysis.check_element_conservation(phase2_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "66dfba02",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:07:26.161623Z",
     "iopub.status.busy": "2026-01-23T14:07:26.161452Z",
     "iopub.status.idle": "2026-01-23T14:07:27.004187Z",
     "shell.execute_reply": "2026-01-23T14:07:27.003466Z"
    }
   },
   "outputs": [
    {
     "data": {
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uB2czb17l2zNmGJ20K1dKl1wi5eVJ778vffqpdPnlxj4ffmiMHFm6VBo4UJo/X8rKkr77ToqNlXr1kp59Vnr0Uempp6SwMGn6dKl9e+mVV4xjdO0qLV4svfqqlJzswRdcjk7cGmJhMwAAAAAAAtCWLZLDIUVHG6GRN7HZyufiMlKhxsxRCnThWujoUSk/v/xSVFS95+XlGddNmhjXK1ca3blDhpTv06WL1KaNlJFh3M7IkLp3NwJcU3Kycd7168v3qXgMcx/zGBYgxK0hFjYDAAAAACAAVZyHa7NZW8vpMBe3Vnbu3KmFCxfKZrPp1ltvtbqcgBWVkGD8gsS8TJly7ifZ7caYg4sukswO6pwco5O2UaPK+8bGGo+Z+1QMcM3HzcfOtk9+vmUjSxinAAAAAAAAcC7eOg/XZIa4GzZYW4eP+eyzzyRJl1xyieLj4y2uJnDlZ2UpqlWr8jvCw8/9pJQUad06Y8xBAKATFwAAAAAA4FwqduJ6I8Yp1AqjFLxEw4ZSVFT55Vwh7oQJ0tdfSz/8ILVuXX5/XJyxYNmRI5X3z801HjP3yc2t+rj52Nn2iYqSIiNr9NJchRAXAAAAAADgXLy9E9es67ffjI+Z45zWrl2rtWvXKiwsTH/4wx+sLgfV4XAYAe6//iV9/72x+FhFfftKoaFSenr5fZs2STt3SklJxu2kJGntWmnfvvJ9FiwwAtqEhPJ9Kh7D3Mc8hgUIcQEAAAAAAM7F2ztx27WTQkKMeZ27d1tdjU8wu3CHDx+uxo0bW1wNqiUlRfr736VPPzW6d3NyjIs5pzY6Who7VkpNNbp0V66UxowxwteBA419hg41wtrbb5fWrJG+/VZ6/HHj2GYH8L33Slu3Sn/5i9Hd/tZb0hdfSA8+aM3rFiFujaWlpSkhIUGJiYlWlwIAAAAAADzhyBHp4EFju2NHS0s5o9BQ6bzzjG0zcMYZORwOzZo1SxKjFHzK229LeXnS4MFSixbll5N/lpKkV1+VrrlGuvFG6ZJLjNEIs2eXPx4cbIxiCA42wt0//lG64w7pmWfK92nfXpo71+i+7dlTeuUV6b33pORkj73UU9kcDofDsrP7sPz8fEVHRysvL09RUVFWlwMAAFBj/Dzj23bv3q34+Hjt2rVLrSvOggMAuN4vvxgf046JqTon05tcf7301VfSm28aXYU4o1WrVqlPnz6KjIzUgQMHVK9ePatLCkj8PFN9dOICAAAAAACcze+/G9dmp6u3MufimvN7cUb/+te/JEnJyckEuPAJhLgAAAAAAABns3Wrcd2hg7V1nAshbrWZIe4NN9xgcSVA9RDiAgAAAAAAnI2vdOKai64R4p7Vli1btG7dOgUHB+uaa66xuhygWghxAQAAAAAAzsZXQlyzE3fnTun4cWtr8WJmF+7gwYPVpEkTi6sBqocQFwAAAAAA4Gx8ZZxC8+ZSo0aSwyFt2WJ1NV5rzpw5khilAN9CiFtDaWlpSkhIUGJiotWlAAAAAAAAdysuNjpbJe/vxLXZmIt7Djk5OcrIyJAkjRgxwtpigBogxK2hlJQUZWVlKTMz0+pSAAAAAACAu+3cKdntUmSkFBdndTXnRoh7Vv/+97/lcDjUv39/tWrVyupygGojxAUAAAAAADgTcx5uhw5Gp6u3Y3GzszLn4dKFC19DiAsAAAAAAHAmvrKomalTJ+ParBtOeXl5+v777yUxDxe+hxAXAAAAAADgTHxlUTOTWee2bdbW4YXmzp2rkpISdenSRV26dLG6HKBGCHEBAAAAAADOxNc6cc0QNztbOnbM2lq8jDlKgS5c+CJCXAAAAAAAgDPxtU7cxo2l6Ghje/t2S0vxJsePH9d///tfSYS48E2EuAAAAAAAAKfjcPheJ67NVh44mwE0lJ6ersLCQrVu3Vr9+vWzuhygxghxaygtLU0JCQlKTEy0uhQAAAAAAOBO+/dLhYVGMNqundXVVB8hbhXmKIURI0bIZrNZXA1Qc4S4NZSSkqKsrCxlZmZaXQoAAAAAAHAnswu3dWspPNzaWmqCELeS0tJSffXVV5IYpQDfRYgLAAAAAABwOr42SsFEiFvJ0qVLdeDAATVu3FiXXHKJ1eUAtUKICwAAAAAAcDq+tqiZiRC3EnNBs+TkZIWEhFhcDVA7hLgAAAAAAACns22bce3LIa7DYW0tXuCbb76RJA0fPtziSoDaI8QFAAAAAAA4ne3bjWtfWtRMktq0kYKCpOPHpdxcq6uxVHZ2tlavXi3J6MQFfBUhLgAAAAAAwOn4aogbFibFxxvbAT5SYd68eZKkxMRExcTEWFwNUHuEuAAAAAAAAKcqLZV27za2fS3ElZiLe5I5SmHYsGEWVwLUDSEuAAAAAADAqfbuNYLc0FCpRQurq6k5QlyVlpZqwYIFkghx4fsIcQEAAAAAAE5ljlIw58v6GkJcZWRkKC8vT02bNlViYqLV5QB14oPfhQAAAAAAANzMV+fhmghxnaMUkpOTFRwcbHE1QN0Q4tZQWlqaEhIS+A0OAAAAAAD+bMcO45oQ12f997//lSQNHz7c4kqAuiPEraGUlBRlZWUpMzPT6lIAAAAAAIC7mJ24bdtaWkatmSHunj3SiRPW1mKBPXv2aM2aNbLZbEpOTra6HKDOCHEBAAAAAABO5evjFJo2lRo2NLbN1xJA5s2bJ0nq37+/mjVrZnE1QN0R4gIAAAAAAJzK10Ncmy2gRyqYoxSGDRtmcSWAaxDiAgAAAAAAVFRWJu3aZWz7aogrBWyIW1JSogULFkgixIX/IMQFAAAAAACoKDtbKimRQkKkli2trqb2AjTEXbJkifLz89W8eXP169fP6nIAlyDEBQAAAAAAqMgcpRAfLwUHW1pKnQRoiPvNN99IkpKTkxUURPQF/8DfZAAAAAAAgIp8fR6uKUBDXHMe7vDhwy2uBHAdQlwAAAAAAICK/DHEdTisrcVDdu/erbVr1yooKEhDhw61uhzAZQhxAQAAAAAAKtqxw7hu29baOuqqbVvJZpMKC6X9+62uxiPMLtz+/furadOmFlcDuA4hLgAAAAAAQEX+0okbHi61bm1sB8hIhQULFkiSrrrqKosrAVyLEBcAAAAAAKAifwlxpYCai2u32/X9999Lkq688kqLqwFcixAXAAAAAADAZLdLO3ca24S4PmXNmjU6ePCgGjRooMTERKvLAVyKEBcAAAAAAMCUkyMVF0vBwVKrVlZXU3dmiLttm7V1eMB3330nSRo8eLBCQ0MtrgZwLUJcAAAAAAAAkzlKoXVrKSTE0lJcon174zoAOnHNEHfIkCEWVwK4HiFuDaWlpSkhIYG2fAAAAAAA/NGOHcZ1mzbW1uEqATJO4cSJE1q0aJEkQlz4J0LcGkpJSVFWVpYyMzOtLgUAAAAAALjarl3Gddu21tbhKmaIu2uXMSbCT2VkZOj48eOKi4tTQkKC1eUALucHnwsAAFjObpeyV0k5a6WyEsnhkBz28osctTuuo5bPM55ch6dadN5qn8ID5/DE63CySTbbua9tQRXuUy2ec+r1GY5x1udUvFYtnlPxPCefZwuWgoIrXAdVvh0UcnL7dPuevB8AALiOuahZfLy1dbhKTIxUr5507JjRZdypk9UVuUXFUQo282c9wI8Q4gIA6mbFB9L3z0vHDlhdCRC4ahL4Vty3yJNhvXdo166ddpgfk63gf//3f5WWlqYTJ07ooYce0ueff66ioiIlJyfrrbfeUmxsrHPfnTt3avz48frhhx/UoEEDjR49WlOmTFFIhbmJP/74o1JTU7V+/XrFx8fr8ccf15133lnpnGlpafrb3/6mnJwc9ezZU2+88Yb69+/vttcOAKgmM8T1l3EKNpvRjbtunTFSwU9D3PT0dEnSFVdcYXElgHvQugEAqL3fvpW+fpAAF7Cao0wqK5ZKjknFR6UTedLxQ1LhfqkgR8rfI+XtlA5vlw79Lh34TdqXZVwCTGZmprKzs52XBQsWSJJuuukmSdKDDz6o//znP/ryyy/1008/ae/evRo5cqTz+WVlZbr66qtVXFysJUuW6KOPPtKMGTM0efJk5z7btm3T1Vdfrcsuu0yrV6/WAw88oLvvvlvffvutc59Zs2YpNTVVTz75pH755Rf17NlTycnJ2rdvn4e+EgCAMzLHKfhLiCv5/VzcI0eOOMdeEuLCX9GJCwConbzd0r/+VH674xCp01ApPOrkR8SDTn7M2/yoeS3V6aNQdXiuVeet9ik88RExT5zDcXI8xLmudXI8R3X2rXhtr/D8mj6n4n3VqNUcHXLG+k93HrtkLzNCWLv95HVZ1esq99VxX3O7xH/n4p1J8+bNK93+61//qvPOO0+XXnqp8vLy9P777+vTTz/V5ZdfLkn68MMP1bVrVy1dulQDBw7U/PnzlZWVpe+++06xsbHq1auXnn32WT366KN66qmnFBYWpunTp6t9+/Z65ZVXJEldu3bV4sWL9eqrryo5OVmSNHXqVI0bN05jxoyRJE2fPl1z587VBx98oIkTJ3rwKwIAqMLfOnElvw9xf/zxR9ntdnXu3Fnx/jIGAzgFIS4AoHb+da90/LCx3eUa6ea/eyhYBOAy+fnSC9FWV2GZ4uJi/f3vf1dqaqpsNptWrlypkpKSSitad+nSRW3atFFGRoYGDhyojIwMde/evdJ4heTkZI0fP17r169X7969lZGRUWVV7OTkZD3wwAPO865cuVKTJk1yPh4UFKQhQ4YoIyPjjPUWFRWpqKjIefvo0aN1/RIAAE5VWCgdOmRs+1MY6OchbsV5uIC/YpwCAKDmDm2Vti8ytqPjpevfJMAF4HPmzJmjI0eOOGfV5uTkKCwsTI0aNaq0X2xsrHJycpz7VAxwzcfNx862T35+vo4fP64DBw6orKzstPuYxzidKVOmKDo62nlh5W0AcANzlEJUlBTtR7/oJMQFfB4hLgCg5rakl2/3GyNFNrauFgCopffff1/Dhg1Ty5YtrS6lWiZNmqS8vDznJSsr8GYaA4Db+eMoBalyiGuOevITu3fv1qZNmxQUFKTBgwdbXQ7gNoxTqKPH/7VW4fUauPUcnvz26snv5Q5PvjL/PJUcHvwD89SZPPt30IPn8rM/qz/tma0eJ7en/NZau3f+4vZzevJ7hqf+uPz1e67//jv24Mk89MqKjxd45DzeaMeOHfruu+80e/Zs531xcXEqLi7WkSNHKnXj5ubmKi4uzrnP8uXLKx0rNzfX+Zh5bd5XcZ+oqChFRkYqODhYwcHBp93HPMbphIeHKzw83Hk7Pz+/Bq8YAFAtZojrT6MUJKldO+M6P98YF9G0qaXluFJ6utFg0q9fvyqfpgH8CSFuHc1ZvVdB4fWsLgMAPCZMJXopfKVkk/Y7ovXO5npyKNvqsgDUgr3omNUlWObDDz9UTEyMrr76aud9ffv2VWhoqNLT03XjjTdKkjZt2qSdO3cqKSlJkpSUlKTnn39e+/btU0xMjCRpwYIFioqKco43SEpK0jfffFPpfAsWLHAeIywsTH379lV6erpGjBghSbLb7UpPT9eECRPc+roBAOfgr524kZFSy5bS3r1GN64fhbiMUkCgYJwCAKBG+gb9pvo2Y2Gdn+w95eB/JQB8jN1u14cffqjRo0crJKS8pyE6Olpjx45VamqqfvjhB61cuVJjxoxRUlKSBg4cKEkaOnSoEhISdPvtt2vNmjX69ttv9fjjjyslJcXZJXvvvfdq69at+stf/qKNGzfqrbfe0hdffKEHH3zQea7U1FS9++67+uijj7RhwwaNHz9ehYWFGjNmjGe/GACAysyZuP4W4kp+ORfX4XAQ4iJg0IlbR/9OuVANGka59RyeWyvI/Sfy1Gvx1JfM5oEX5LnX4qHz+NHfM0/xxOupyd/lqEWLpZXG9uXX3KafO19e/fPUtLBa8Ke/y5KH/vzdfwqPnsifvs+4+zRH8/PVfpqbT+KFvvvuO+3cuVN33XVXlcdeffVVBQUF6cYbb1RRUZGSk5P11ltvOR8PDg7W119/rfHjxyspKUn169fX6NGj9cwzzzj3ad++vebOnasHH3xQr732mlq3bq333ntPycnJzn1uvvlm7d+/X5MnT1ZOTo569eqlefPmVVnsDADgYf46TkGS2raVFi+WduywuhKXycrKUk5OjiIjI52feAH8FSFuHZ0X01BRUQ2tLgMAPGfXTyc3bGrSPVmqF2lpOQBqL9Qefu6d/NDQoUPPOKs8IiJCaWlpSktLO+Pz27ZtW2VcwqkGDx6sVatWnXWfCRMmMD4BALyNv45TkIwQV/KrENfswh00aJAiIiIsrgZwLz4DCwCovoL90r71xnarvlK9JtbWAwAAALiKw+Hf4xT8OMRllAICASEuAKD69m8o347vb10dAAAAgKvt3y8VFRlzk1q1sroa1zODabPb2MeVlpZq4cKFkqTLL6/+iDfAVxHiAgCq78Dm8u1mnayrAwAAAHA1M9yMi5PCwqytxR38rBN39erVys/PV3R0tHr16mV1OYDbEeICAKqvYojblBAXAAAAfsSfRylI5a8rP186csTSUlzhp5+MtToGDRqk4OBgi6sB3I8QFwBQfQfpxAUAAICf8udFzSSpfn2pWTNj2w+6cX/88UdJ0qWXXmptIYCHEOICAKrP7MQNayg1iLW2FgAAAMCVzBA3Pt7aOtzJT0YqlJWVadGiRZKkwYMHW1sM4CGEuACA6ik5IR05+YNts47Ggg8AAACAv/D3cQqS34S4v/76q/Ly8tSwYUPm4SJgBHyIe+zYMbVt21YPP/yw1aUAgHc7tFWSw9hmHi4AAAD8jb+PU5DKX5uPh7jmKIVBgwYpJCTE2mIADwn4EPf555/XwIEDrS4DALwf83ABAADgzwJpnIL5Wn2UuagZ83ARSAI6xN28ebM2btyoYcOGWV0KAHi/AxVC3KYdrasDAAAAcLXiYiknx9j2505cPxinYLfbtXDhQknMw0Vg8doQd+HChbr22mvVsmVL2Ww2zZkzp8o+aWlpateunSIiIjRgwAAtX768Rud4+OGHNWXKFBdVDAB+7gCduAAAAPBTe/ZIDocUHi41b251Ne7jByHu2rVrdfjwYTVo0EB9+vSxuhzAY7x2cEhhYaF69uypu+66SyNHjqzy+KxZs5Samqrp06drwIABmjZtmpKTk7Vp0ybFxMRIknr16qXS0tIqz50/f74yMzN1/vnn6/zzz9eSJUvOWU9RUZGKioqct/Pz8+vw6gDAB1Ucp9DkPOvqAAAAAFxt927junVr/17A1wxxc3OlEyekiAhr66kFcx7uRRddxDxcBBSv/ds+bNiws445mDp1qsaNG6cxY8ZIkqZPn665c+fqgw8+0MSJEyVJq1evPuPzly5dqs8//1xffvmlCgoKVFJSoqioKE2ePPm0+0+ZMkVPP/107V8QAPgyh0M6sMXYjm4jhdWzth4AAADAlSqGuP6sSROpfn2psNCYi3v++VZXVGPmPFxGKSDQeO04hbMpLi7WypUrNWTIEOd9QUFBGjJkiDIyMqp1jClTpmjXrl3avn27Xn75ZY0bN+6MAa4kTZo0SXl5ec7Lrl276vw6AMBnFO6XivKM7WbMwwUAAICf2bPHuG7Vyto63M1mK5/564MjFSrOw2VRMwQar+3EPZsDBw6orKxMsbGxle6PjY3Vxo0b3XLO8PBwhYeHu+XYAOD1Ki1qxjxcAAAA+JlA6cSVjJEKGzb4ZIi7fv16HTx4UPXq1VO/fv2sLgfwKJ8McV3tzjvvtLoEAPBuR3aWbzdpb10dAAAAgDsESieuVD4Xd+fOs+/nhcxRChdddJFCQ0MtrgbwLJ8cp9CsWTMFBwcrNze30v25ubmKi4tz67nT0tKUkJCgxMREt54HALzK0b3l21EtrasDAAAAcIdA68SVfLIT11zUjHm4CEQ+GeKGhYWpb9++Sk9Pd95nt9uVnp6upKQkt547JSVFWVlZyszMdOt5AMCrHM0p327Ywro6AAAAAHcIxE5cHwtxHQ6HsxOXebgIRF47TqGgoEBbtmxx3t62bZtWr16tJk2aqE2bNkpNTdXo0aPVr18/9e/fX9OmTVNhYaHGjBljYdUA4KeOZpdvE+ICAADAn5SVSXtPfvKMTlyvlZWVpQMHDigyMpJPRyMgeW2Iu2LFCl122WXO26mpqZKk0aNHa8aMGbr55pu1f/9+TZ48WTk5OerVq5fmzZtXZbEzAIAL5FcIcRvwfRYAAAB+ZN8+I8gNDpbcPKLRK7RpY1zv3l3+un2A2YV74YUXKiwszOJqAM/z2hB38ODBcjgcZ91nwoQJmjBhgocqAoAAZo5TqNdMCuEHJgAAAPgRcx5uXJzPBJp10rKlFBIilZYaHcjx8VZXVC1miMs8XAQqn5yJayUWNgMQcOx2qeBkiBvFKAUAAAD4GXMebiCMUpCMoNp8rT4yUsHhcDgXNWMeLgIVIW4NsbAZgIBz7IBkLzW2mYcLAAAAf2N24gbComYmcy7uzp3W1lFNmzZt0r59+xQREaH+/ftbXQ5gCUJcAMDZVVrULABmhAEAACCwBFonruRzi5stXrxYkjRgwACFh4dbXA1gDUJcAMDZmfNwJTpxAQAA4H8CsRPXXNzMRzpxFy1aJEkaNGiQxZUA1iHEBQCcXf7e8m1CXAAAAPibQOzE9bEQ1+zEvfjiiy2uBLAOIW4NsbAZgIBDJy4AAAD8WSB34u7aZW0d1bB3715t3bpVQUFBSkpKsrocwDKEuDXEwmYAAg4zcQEAAOCvHA46cb2c2YXbs2dPRUVFWVwNYB1CXADA2VUMcaNaWlcHAAAA4GpHjkjHjhnbLQPoZ934eOM6L8+4eDFGKQAGQlwAwNmZIa4tWKrXzNpaAAAAAFcyu3CbNpUiI62txZMaNJCaNDG2vXykgrmoGSEuAh0hLgDg7MyZuA3jpCD+twEAAAA/EojzcE0+MFIhLy9Pv/76qyRCXIB34wCAMystlgr3G9ssagYAAAB/E4jzcE0+EOIuXbpUdrtdHTp0UMtAGncBnAYhbg2lpaUpISFBiYmJVpcCAO5XkFu+zaJmAAAA8Dd04np1iMsoBaAcIW4NpaSkKCsrS5mZmVaXAgDuZ45SkOjEBQAAgP8J5E5cc3EzLw5xzUXNBg0aZHElgPUIcQEAZ3Z0b/l2FCEuAAAA/AyduF4b4hYXF2vZsmWS6MQFJCnE6gIAAF6MTlxLORwOHf3uOx1fvVpleXmS3SE5HOaDJ7cdcjgckkPl91vMFh6m0NhYhcTGKTQuViGxsQqJiVFQeLgUGipbcLBswcFWlwkAAFAe4gZiJ66Xh7grV67UiRMn1KxZM3Xu3NnqcgDLEeICAM7saHb5NjNxPe7AG2/owFtvW12Ge9hsUkiIEeievK4U8AYHS0E22YKCpaAg2YKCKt8XHCSbLUgKCZYtJNR5HIWGnOZ2iGzBJ69DQ06e9+R2cLBxbFvQyWOfaztItiCbdPJ2xe3qPf/kdlCQZKu4febjmtvm18UWHGy8hqAgKThEtpDyr5ktiA9ZAQBQI+Y4hUDuxN29WyorM37W8iLmKIWLL75YNpvN4moA6xHiAgDOrGBf+XYDQlxPKsvL04F337O6DPdxOKSSEjlKSmR977AfMcNxM/Q1A/KT4W/lIDhYBXa++gCAAHb8uHTokLEdiJ24LVoYwW1ZmZST43VBdsUQFwAhbo2lpaUpLS1NZWVlVpcCAO537GD5dv1m1tURgE5s2CCVlEiS6g8apJiHH5Yt2OjelLMTwWb8Z95n3m9xp4L92DGV5uaqJCdHpTm5KtmXq9L9+0+GtqVylJXJUVoqlZbKUWreLpFKy5y3ZbdLZWVy2O2S3V752nwcVZnhuFStcLyYn2cAAIHM7MKtV0+Kjra2FisEBxvh9Y4dxkgFLwpx7XY7IS5wCkLcGkpJSVFKSory8/MVHYjf5AEEloohbmRj6+oIQEW//ebcbjj0SkV0Pt/CamrBA3PLHHb7KUFwqRwlJcZ9ZWVGYFx69tuym0GxQ3LYa7Ztt5+8fabtcz/f4Tj3thx2OcrsRq2lZXLYy4zAu6xMKiuVo8wuR1mpcZ/5NSkrK9+/rMy4z151P1txsdv/nAAA8FoV5+EG6sf127QpD3GTkqyuxmnjxo06dOiQIiMj1adPH6vLAbwCIS4A4MzMEDciWgoOtbaWAFNsvqmQFN6hg4WVeC9bUJAUFiZbWJjVpfis/Pz8wOw8AgBACux5uCYvXdzM7MIdOHCgQkN5HwJIEqtfAADOzAxx6zW1to4AZD92zLkd1KChhZUAAAD4qYqduIHKS0PcRYsWSWKUAlARIS4A4PTKSqQTecY2Ia7HOY4dd24H1Yu0sBIAAAA/ZXbiEuJ6XYjLPFygKkJcAMDpHT9cvk2I63H24xVC3EhCXAAAAJczO3EZp+BVIe7u3bu1fft2BQUFKcmL5vQCViPEBQCcXsVFzQhxPa5SiFuvnoWVAAAA+Ck6cctD3B07rK2jArMLt1evXmrYkLFigIkQFwBwepVC3CbW1RGgKs7EtUVEWFgJAACAn6ITV4qPN64PH5YKC62t5aSff/5ZEqMUgFMR4gIATo9OXEs5jhshri0yUrYg/ncNAADgUqWlUk6OsR3InbhRUVKDBsa2GWpbLCMjQ5J04YUXWlwJ4F14V1hDaWlpSkhIUGJiotWlAIB7EeJayn5yYTPm4QIAALhBTo5kt0shIVJMjNXVWMdmK+/G9YIQt7CwUKtXr5Yk5uECpyDEraGUlBRlZWUpMzPT6lIAwL0IcS1lzsRlHi4AAIAbmPNwW7aUAv1TT2aIu2uXtXVIWrFihcrKytSqVSvFm3UBkESICwA4k2OHyrcJcT3OGeLSiQsAAOB6zMMtZ46T8IIQ1xylkJSUJJvNZnE1gHchxAUAnB6duJZynAxxWdQMAADADcxO3ECeh2vyonEKS5YskcQoBeB0CHEBAKdHiGsZh8Ph3LYFB1tYCQAAgJ+iE7ecl3TiOhwOFjUDzoIQFwBwemaIawuSIqKtrSXQlJWVbwf6jDYAAAB3oBO3nJd04v7+++86cOCAwsLC1Lt3b0trAbwR7wwBAKdnhriRjaUgukE9ym53btoIcQEAAFyPTtxyXrKwmTlKoW/fvgoPD7e0FsAb8c4QAHB65sJmjFLwuIrjFOjEBQAAcIO9e41rQtzybuQjR6SCAsvKYJQCcHa8MwQAVFVaJBWf/AGOENfzGKcAAADgPg6HlJ1tbLdoYW0t3iAqyrhIlo5UMENcFjUDTo93hgCAqswuXEmKbGJdHQHKYa+wsBkhLgAAgGsdPSoVFhrbhLgGi0cqHD16VGvXrpVEiAucCe8MAQBVmfNwJakeIa7HOcpn4tKJCwAA4GLmKIXoaKl+fWtr8RbmSAWLOnGXL18uu92utm3bqmXLlpbUAHg73hnWUFpamhISEpSYmGh1KQDgPpVCXMYpeFylcQo26+oAAADwR2aIS1hYzuJOXEYpAOdGiFtDKSkpysrKUmZmptWlAID7EOJaquLCZragYAsrAQAA8EOEuFWZnbgWhbhLliyRRIgLnA0hLgCgKkJca9kZpwAAAOA25qJmhLjlzE5cC8Yp2O12LV26VJJ04YUXevz8gK/gnSEAoKqKC5sR4nqcg3EKAAAA7mN24rKoWTkLxyn89ttvOnz4sCIjI9WzZ0+Pnx/wFYS4AICq6MS1FuMUAAAA3IdxClVZuLCZOUqhX79+Cg0N9fj5AV9BiAsAqKpSiNvEujoCVaVOXP5XDQAA4FKEuFWZnbh5edLRox49tbmoGaMUgLPjnSEAoCo6cS3lsFfsxGWcAgAAgEsR4lbVoIHUqJGx7eGRCmaIy6JmwNkR4gIAqjJDXFuwFBFtbS2ByFFxYTPGKQAAALiMw0GIeybmSAUPhrhHjhzR+vXrJRHiAudCiAsAqMpc2KxeU8lGJ6jHsbAZAACAe+TlSSdOGNssbFaZOVLBg3Nxly1bJkk677zzFBMT47HzAr6IEBcAUJXZicsoBUtUGqdg43/VAAAALmN24TZuLEVEWFuLt7FgcTNGKQDVxztDAEBlJSek0uPGdmRja2sJVBXHKQQzTgEAAMBlGKVwZoS4gFcjxAUAVHYir3ybebiWcDBOAQAAwD0Icc/Mw+MU7Ha7li5dKkm68MILPXJOwJcR4gIAKivKL98mxLWGg3EKAAAAbkGIe2YeXtgsKytL+fn5ql+/vrp16+aRcwK+jHeGAIDK6MS1nr3iOAX+Vw0AAOAy2dnGNSFuVR4ep2COUujfv79CQkI8ck7Al/HOEABQ2Ykj5dsRUZaVEcgcZeUhri2I/1UDAAC4jNmJ26KFtXV4IzPEzcuTjh51++mWLFkiiVEKQHXxzrCG0tLSlJCQoMTERKtLAQD3OME4BctVXNiMcQqAy+3Zs0d//OMf1bRpU0VGRqp79+5asWKF83GHw6HJkyerRYsWioyM1JAhQ7R58+ZKxzh06JBGjRqlqKgoNWrUSGPHjlVBQUGlfX799VcNGjRIERERio+P10svvVSlli+//FJdunRRRESEunfvrm+++cY9LxoAYGCcwpk1bChFn/z53wPduCxqBtQM7wxrKCUlRVlZWcrMzLS6FABwD8YpWI9xCoDbHD58WBdddJFCQ0P13//+V1lZWXrllVfUuHFj5z4vvfSSXn/9dU2fPl3Lli1T/fr1lZycrBMnTjj3GTVqlNavX68FCxbo66+/1sKFC3XPPfc4H8/Pz9fQoUPVtm1brVy5Un/729/01FNP6Z133nHus2TJEt16660aO3asVq1apREjRmjEiBFat26dZ74YABCICHHPzkMjFQ4ePKhNmzZJkgYOHOjWcwH+gqEjAIDKKi5sFs44BStUGqdAJy7gUi+++KLi4+P14YcfOu9r3769c9vhcGjatGl6/PHHdf3110uSPv74Y8XGxmrOnDm65ZZbtGHDBs2bN0+ZmZnq16+fJOmNN97Q8OHD9fLLL6tly5aaOXOmiouL9cEHHygsLEwXXHCBVq9eralTpzrD3tdee01XXXWVHnnkEUnSs88+qwULFujNN9/U9OnTPfUlAYDA4XAQ4p5LfLy0fr3bQ9ylS5dKkjp37qymTZu69VyAv+CdIQCgMjpxrVdxnAIzcQGX+uqrr9SvXz/ddNNNiomJUe/evfXuu+86H9+2bZtycnI0ZMgQ533R0dEaMGCA82OfGRkZatSokTPAlaQhQ4YoKChIy5Ytc+5zySWXKCwszLlPcnKyNm3apMOHDzv3qXgecx/zPKcqKipSfn6+83LUA/MKAcCvHDokFRcb23Fx1tbircxO3F273HoaRikANcc7QwBAZYS41qswTsHGOAXApbZu3aq3335bnTp10rfffqvx48frz3/+sz766CNJUk5OjiQpNja20vNiY2Odj+Xk5CgmJqbS4yEhIWrSpEmlfU53jIrnONM+5uOnmjJliqKjo52XhISEGr9+AAho2dnGdbNmUni4tbV4Kw+NUyDERa0tXChde63RTW+zSXPmVH78zjuN+yterrqq8j6HDkmjRklRUVKjRtLYsdIpaxvo11+lQYOkiAijQ/00axt4Gu8MAQCVsbCZ5SqOU2BhM8C17Ha7+vTpoxdeeEG9e/fWPffco3HjxvnE+IJJkyYpLy/PecnKyrK6JADwLeYohRYtrK3Dm3kgxC0tLXV+cuXCCy9023ngpwoLpZ49pbS0M+9z1VXGL23My2efVX581ChjbMiCBdLXXxvBcIW1DZSfLw0dKrVtK61cKf3tb9JTT0kV1jawAjNxAQCV0YlrPcYpAG7TokWLKh2sXbt21T//+U9JUtzJj9fm5uaqRYU3+bm5uerVq5dzn3379lU6RmlpqQ4dOuR8flxcnHJzcyvtY94+1z5xZ/iIb3h4uMIrdI7l5+efdj8AwBkwD/fc4uONazeGuOvWrVNhYaGioqL4VAlqbtgw43I24eFnHpmyYYM0b56UmSmZo7HeeEMaPlx6+WXj+8PMmcbolQ8+kMLCpAsukFavlqZOrRz2ehjvDAEAlVUMcVnYzBIOxikAbnPRRRc5V8M2/fbbb2rbtq0kY5GzuLg4paenOx/Pz8/XsmXLnB/5TEpK0pEjR7Ry5UrnPt9//73sdrsGDBjg3GfhwoUqKSlx7rNgwQJ17txZjRs3du5T8TzmPny0FADchBD33DwwE9ccpTBgwAAF0bAA09GjRgeseSkqqv2xfvxRiomROneWxo+XDh4sfywjwxihUGFtAw0ZYjTPnOwQV0aGdMklRoBrSk6WNm2STq5tYAX+tQAAKis62dkVEimFhJ19X7iHnXEKgLs8+OCDWrp0qV544QVt2bJFn376qd555x2lpKRIkmw2mx544AE999xz+uqrr7R27VrdcccdatmypUaMGCHJ6Ny96qqrNG7cOC1fvlw///yzJkyYoFtuuUUtTwYDt912m8LCwjR27FitX79es2bN0muvvabU1FRnLffff7/mzZunV155RRs3btRTTz2lFStWaMKECR7/ugBAQCDEPTczxD1ypOqMUBdZsmSJJEYpoLKohAQpOrr8MmVK7Q501VXSxx9L6enSiy9KP/1kdO6WlRmP5+QYAW9FISFSkybGY+Y+p6xb4Lx9hrULPIFxCgCAysxOXEYpWKdiiBtks64OwA8lJibqX//6lyZNmqRnnnlG7du317Rp0zRq1CjnPn/5y19UWFioe+65R0eOHNHFF1+sefPmKSIiwrnPzJkzNWHCBF1xxRUKCgrSjTfeqNdff935eHR0tObPn6+UlBT17dtXzZo10+TJk3VPhY/gXXjhhfr000/1+OOP67HHHlOnTp00Z84cdevWzTNfDAAINObCZoS4ZxYVZVzy86U9e4xORhdjUTOcTn5WlqJatSq/o7aLD95yS/l29+5Sjx7SeecZ3blXXFGnGq1GiAsAqIwQ13KVxykEW1gJ4J+uueYaXXPNNWd83Gaz6ZlnntEzzzxzxn2aNGmiTz/99Kzn6dGjhxYtWnTWfW666SbddNNNZy8YAOAaLGxWPa1bS1lZxkgFF4e4+/bt0++//y5JzhFEgCSpYUPjFwiu1qGD1KyZtGWLEeLGxUmnrG2g0lLp0KHyObpxcdIp6xY4b59p1q4H8BlNAEC5slKp+OTHpiKYh2sZxikAAAC4HuMUqsccqeCGxc3MLtwLLrhAjRo1cvnxgSp27zZm4pq/vElKMsaFVFjbQN9/b7wHM3+xkJQkLVwoVVjbQAsWGL/UOLm2gRV4ZwgAKFdUYaVzOnEtw8JmAAAALma3M06huuLjjWs3hriMUkCtFRRIq1cbF0nats3Y3rnTeOyRR6SlS6Xt2425uNdfL3XsaCxMJklduxpzc8eNk5Yvl37+WZowwRjDYH5vuO02Y1GzsWOl9eulWbOk116TKqxtYAXeGQIAypmjFCRCXCvZHeXbdOICAADU3cGD5V11Fn4c2ieYnbi7drn80IS4qLMVK6TevY2LZASrvXtLkydLwcHSr79K110nnX++EcL27SstWlR5xu7MmVKXLsZ4heHDpYsvlt55p/zx6Ghp/nwjIO7bV3roIeP4FdY2sAIzcQEA5Sp24oYzTsEy9rLy7SBCXAAAgDozRynExEihodbW4u3cNE6hpKREmZmZkozFPYFaGTxYcjjO/Pi33577GE2aSOdY20A9ehjhrxfhnSEAoByduF6BcQoAAAAuxiiF6nNTiLtmzRodP35cjRs31vnnn+/SYwOBgHeGAIByhLjegYXNAAAAXMvsxDUXN8KZuWkmrjlKYeDAgQri02ZAjfGvBgBQ7kTFhc0Yp2CZiiFukM26OgAAAPyFGeLSiXtuZifuoUPSsWMuO+ySJUskMUoBqC1CXABAuUqduI0sKyPQOSosbGYLDrawEgAAAD9BiFt9UVFSgwbGtgu7cVnUDKgbQlwAQDnGKXiHigubMU4BAACg7ghxq89mc/lIhb1792rHjh0KCgpS//79XXJMINCEWF2Aldq1a6eoqCgFBQWpcePG+uGHH6wuCQCsVVRhnEI44xQ8zeFw6MS6dTqa/n35nYxTAAAAqDsWNquZ1q2lDRukXbtccjizC7d79+5q2LChS44JBJqADnElYyZLA/NjAgAQ6OjEtYS9uFj5//mPDn30sYp++63SY8FR/DkAAADUGQub1Yw5F9fFIS6jFIDaC/gQFwBQASGuRzlKSnRk9r90YPp0lZrdISfZQkMVde21anDpJRZVBwAA4Cfsdjpxa8ocp7Bnj0sOR4gL1J3XDtpbuHChrr32WrVs2VI2m01z5sypsk9aWpratWuniIgIDRgwQMuXL6/ROWw2my699FIlJiZq5syZLqocAHxYpRCXcQrulD9/vn4ffrVynnyyUoAb2bOnWjz3rDr9vFgtX3heQRERFlYJAADgB/bvl8rKjFmvsbFWV+MbzE5cF8zELSoq0sqVKyVJF154YZ2PBwQqr+3ELSwsVM+ePXXXXXdp5MiRVR6fNWuWUlNTNX36dA0YMEDTpk1TcnKyNm3apJiYGElSr169VFpaWuW58+fPV8uWLbV48WK1atVK2dnZGjJkiLp3764ePXq4/bUBgNcyQ9ygECm0nrW1+KmS3FzlPPusCr5Lr3R/g8GD1ezePymyVy9rCgMAAPBX5iiF2FgpxGtjEO/iwhB31apVKioqUrNmzXTeeefV+XhAoPLa717Dhg3TsGHDzvj41KlTNW7cOI0ZM0aSNH36dM2dO1cffPCBJk6cKElavXr1Wc/RqlUrSVKLFi00fPhw/fLLL2cMcYuKilRUVOS8nZ+ff9r9AMCnmQubRUQbnQpwGUdZmQ7PmqX9U1+VvaDAeX+9gQMV88D9hLcAAADuYoa4jFKoPheGuBVHKdh4jwHUmteOUzib4uJirVy5UkOGDHHeFxQUpCFDhji/OZxLYWGhjh49KkkqKCjQ999/rwsuuOCM+0+ZMkXR0dHOS7w5HwYA/InZiRvOKAVXKj18WDvH3KXcZ551BrjBTZuq1dRX1ObDDwhwAQAA3Il5uDVnhrgHDkgnTtTpUMzDBVzDJ0PcAwcOqKysTLGnzLKJjY1VTk5OtY6Rm5uriy++WD179tTAgQN1xx13KDEx8Yz7T5o0SXl5ec7LLhet0AgAXsPhkE5U6MSFSxRt2aLt/3OzjlWY2x49cqTOm/u1ooYPpxsBAADA3cxO3BYtrK3DlzRqJNU7OV6tjoubLV26VBIhLlBXXjtOwd06dOigNWvWVHv/8PBwhYeHu7EiALBYcaHkKDO2WdTMJY7/+qt2jrtH9jyjwzm4eTO1euUV1e/f3+LKAAAAAgjjFGrOZjO6cX/7zRipUMtZtnv27NGuXbsUFBSkfv36ubhIILD4ZCdus2bNFBwcrNzc3Er35+bmKi4uzqKqAMDHmaMUJDpxXeDYihXaOeYuZ4Ab3rWr2n/xBQEuAACApxHi1o45UqEOn0RetmyZJKl79+5q0KCBK6oCApZPhrhhYWHq27ev0tPLV/a22+1KT093e3t+WlqaEhISzjp6AQB8EiGuyxQuWaKdd4+TvbBQklSvf3+1/eQThfIRPgAAAM8jxK0dFyxuZo5SGDhwoCsqAgKa145TKCgo0JYtW5y3t23bptWrV6tJkyZq06aNUlNTNXr0aPXr10/9+/fXtGnTVFhYqDFjxri1rpSUFKWkpCg/P1/R0YQcAPxIUX75djjf32rr+Nq12pUyQY6TC0DUHzRIrd94XUERERZXBgAAEKBY2Kx2XBDimp24hLhA3XltiLtixQpddtllztupqamSpNGjR2vGjBm6+eabtX//fk2ePFk5OTnq1auX5s2bV2WxMwBANdGJW2fFu3Zp173j5Th+XJLU4Ior1OrVqQoKC7O4MgAAgABVViaZC6AT4tZMHUPc0tJSZWZmSiLEBVzBa0PcwYMHy+FwnHWfCRMmaMKECR6qCAD8HCFundiPHdOucfeo7OBBSVK9fv3UauorBLgAAABW2rdPstuloCCpeXOrq/EtdQxx165dq+PHjys6Olrnn3++CwsDApNPzsS1EjNxAfitSiFulHV1+KijCxaoePt2SVJYhw5q/eYbCgoPt7YoAACAQGfOw42Lk4KDra3F18THG9e1DHHNebgDBgxQUBDxE1BX/CuqoZSUFGVlZTk/EgAAfqNiiBtOiFtTJ7KynNuxkyYpuFEj64oBAACAgUXNas/sxM3NlYqLa/z0iiEugLojxAUAGIqOlm/TiVtjJzZucm5HJHS1sBIAAAA4EeLWXtOmkvnJMvPrWANmiJuUlOTKqoCARYgLADAUF5ZvhzWwrg4fVLJ3r46vXStJComJUUjTphZXBAAAAElSdrZxTYhbczZbrefiHjx4UL/99pskqX///q6uDAhIhLgAAENxQfk2IW61OUpKtOfBVDmOHZMkNbj0EosrAgAAgJPZQdqihbV1+KpahrjLly+XJJ1//vlqSoMD4BJ1CnFPnDjhqjp8BgubAfBbFccphBPiVtf+t97S8TVrJEmhrVsr5uGHLa4IAAAAToxTqJtahrjmKIWBAwe6uiIgYNU4xLXb7Xr22WfVqlUrNWjQQFu3bpUkPfHEE3r//fddXqC3YWEzAH6LcQo1duyXVTr4f+8YN0JC1OrVqQqOjra2KAAAAJQjxK0bQlzAa9Q4xH3uuec0Y8YMvfTSSwoLC3Pe361bN7333nsuLQ4A4EGVxinUt64OH2E/cULZjz0m2e2SpOYTJiiye3eLqwIAAEAlhLh1Y4a4u3ZV+yl2u13Lli2TRIgLuFKNQ9yPP/5Y77zzjkaNGqXg4GDn/T179tTGjRtdWhwAwIOKToa4ofWkoOCz7wsdSEtT8fbtkqSIHj3UdNzd1hYEAACAykpLpX37jG1C3NqpRSfupk2blJeXp8jISHWnyQFwmRqHuHv27FHHjh2r3G+321VSUuKSogAAFjA7cRmlcE7H16/Xwfc/kCTZQkPV8vnnZAsm+AYAAPAqubmSwyGFhEjNmlldjW+qRYhrjlJITExUSEiIO6oCAlKNQ9yEhAQtWrSoyv3/+Mc/1Lt3b5cUBQCwgDPEZZTC2TgcDuU+/4JzjEKzlP9VeKdOFlcFAACAKsxRCnFxUlCd1nUPXGaIm50tVbNxj3m4gHvU+FcikydP1ujRo7Vnzx7Z7XbNnj1bmzZt0scff6yvv/7aHTV6lbS0NKWlpamsrMzqUgDAtcxxCuF04p7N0f/+V8d/+UWSFNa+vZqOHWtxRQAAADgt5uHWXUyM0clcWirl5Ejx8ed8CiEu4B41/lXU9ddfr//85z/67rvvVL9+fU2ePFkbNmzQf/7zH1155ZXuqNGrpKSkKCsrS5mZmVaXAgCuU1ok2U/+Zj2sobW1eDH7iRPKffll5+3YiY/KFhpqYUUAAAA4I0LcugsKklq1MrarMVLh6NGjWrdunSRCXMDVajWcZNCgQVqwYIGrawEAWKW4sHybTtwzOvTJJyrdmy1Jqj9okBpceqnFFQEAAOCMCHFdIz5e2rGjWiFuZmam7Ha72rZtqxYtWnigOCBw1LgTNzMzU8uWLaty/7Jly7RixQqXFAUA8LCio+XbzMQ9LXthoQ6dXMxMQUGKffQv1hYEAACAs8s2fvlOiFtHNVjcjFEKgPvUOMRNSUnRrl27qty/Z88epaSkuKQoAICHmYuaSVIYnbinc/izz1R25IgkKWr4cIV37GhtQQAAADg7sxOXjtC6IcQFvEKNQ9ysrCz16dOnyv29e/dWVlaWS4oCAHhYUYUQN5yZuKeyHzumg2YXrs2mZv873tqCAAAAcG6MU3CNaoa4DoeDEBdwoxqHuOHh4crNza1yf3Z2tkJCajViFwBgtUqduIxTONXhz2ep7PBhSSe7cDt0sLgiAAAAnBMhrmtUM8Tdtm2b9u/fr7CwMPXu3dsDhQGBpcYh7tChQzVp0iTl5eU57zty5Igee+wxXXnllS4tzhulpaUpISFBiYmJVpcCAK7DOIUzcpSV6fDf/+68TRcuAACADygulvbvN7YJceummiGu2YXbu3dvhYeHu7sqIODUuHX25Zdf1iWXXKK2bds6f7OyevVqxcbG6pNPPnF5gd4mJSVFKSkpys/PV3R0tNXlAIBrVBqnQIhbUcEPP6jkZBdH/UsvUfh551lcEQAAAM7J/ARxaKjUtKm1tfg6M8Tdu1cqK5OCg0+7G6MUAPeqcYjbqlUr/frrr5o5c6bWrFmjyMhIjRkzRrfeeqtCQ0PdUSMAwN2KC8u36cSt5NAn5V24Tf54u4WVAAAAoNoqjlKw2aytxdfFxRnBbWmpEY6fobOZEBdwr1oNsa1fv77uueceV9cCALBK8dHybUJcpxObftOxZcskSWHt26v+RRdaXBEAAACqxQxxW7Swtg5/EBxsfB137zYupwlxjx8/rlWrVkkixAXcpVYh7ubNm/XDDz9o3759stvtlR6bPHmySwoDAHgQ4xRO6/Bnnzq3G/9xlGxBNR4lDwAAACuwqJlrtW5dHuL271/l4VWrVqm0tFSxsbFq27atBQUC/q/GIe67776r8ePHq1mzZoqLi5OtwscSbDYbIS4A+KJKC5s1tK4OL3Ni3Xpjw2ZT9PUjLK0FAAAANUCI61rnWNys4igFG+MrALeocYj73HPP6fnnn9ejjz7qjnoAAFaoNBO3vnV1eBlHSYkkyRYeruAGfF0AAAB8BiGua9UgxAXgHjX+XOjhw4d10003uaMWAIBViirMxGWcgpMzxGXhTgAAAN+SnW1cE+K6BiEuYLkah7g33XST5s+f745afEJaWpoSEhKUmJhodSkA4DqVxikQ4pqcIW5IrUbIAwAAwCosbOZa8fHG9a5dVR7au3evdu3apaCgIPXr18/DhQGBo8bvSjt27KgnnnhCS5cuVffu3RV6SnfSn//8Z5cV541SUlKUkpKi/Px8RUdHW10OALhGpXEKhLgmR2mpJDpxAQAAfA7jFFyrVSvjes+eKg8tW7ZMktStWzc1aMB7CcBdahzivvPOO2rQoIF++ukn/fTTT5Ues9lsfh/iAoBfKjrZiRsSIQXTdWpinAIAAIAPKiqSDh40tglxXcMcp7Bnj+RwSBUWL2OUAuAZNX6nvm3bNnfUAQCwUvHJmbh04VbCOAUAAAAfZM7DDQ+XGje2thZ/YY6lKC6WDhyQmjd3PmR24g4YMMCKyoCAUeOZuAAAP2R24obVt7YOb2OGuGF04gIAAPiMiouaVegYRR2EhUmxscZ2hcXNSktLlZmZKYkQF3C3WrUW7d69W1999ZV27typ4uLiSo9NnTrVJYUBADzInIkb3tDaOryM2YmrEEJcAAAAn8E8XPdo1UrKzTVGKvTuLUlav369jh07pqioKHXt2tXiAgH/VuMQNz09Xdddd506dOigjRs3qlu3btq+fbscDof69OnjjhoBAO5UViKVFRnbjFNwcjgczMQFAADwRWaIa44AgGu0bi398kulTlxzlEJiYqKCgviwN+BONf4XNmnSJD388MNau3atIiIi9M9//lO7du3SpZdeqptuuskdNQIA3KnoaPl2OCGuU1mZc5MQFwAAwIfQieseFRc3O8lc1IxRCoD71TjE3bBhg+644w5JUkhIiI4fP64GDRromWee0YsvvujyAgEAbmaOUpCYiVuBc5SCWNgMAADApxDiukerVsb1aTpxCXEB96txiFu/fn3nHNwWLVro999/dz524MAB11UGAPCM4oLy7TBm4poqhbh04gIAAPgOQlz3OKUT98iRI8rKypIkDRw40KqqgIBR49aigQMHavHixeratauGDx+uhx56SGvXrtXs2bP5RwsAvqioQojLOAUnR2mpc5sQFwAAwIdkZxvXhLiudUon7vLlyyVJHTp0UExMjFVVAV6ptLRUP/74o37//Xfddtttatiwofbu3auoqCg1aFC79901DnGnTp2qggLjDf/TTz+tgoICzZo1S506ddLUqVNrVYQvSUtLU1pamsoqzEoEAJ9WXGEmLuMUnBinAAAA4KNY2Mw9zE7ckyGuOQ83KSnJqooAr7Rjxw5dddVV2rlzp4qKinTllVeqYcOGevHFF1VUVKTp06fX6rg1flfaoUMH53b9+vVrfWJflZKSopSUFOXn5ys6OtrqcgCg7irNxKUT18Q4BQAAAB90/Lh0+LCxTSeua5mduEePSvn5ysjIkMQoBeBU999/v/r166c1a9aoadOmzvtvuOEGjRs3rtbHpbUIAAJdpXEKzMQ1EeICAAD4IHOUQmSkROOVazVoYHxN8/Jk37XLuagZnbhAZYsWLdKSJUsUFhZW6f527dppz8mZ0rVRrRC3cePGstls1TrgoUOHal0MAMAClRY2Y5yCqWKIq1B+5wkAAOATKi5qVs0cAzXQurWUl6fdy5bp8OHDioiIUI8ePayuCvAqdrv9tGNYd+/erYYNa984Va13pdOmTXNuHzx4UM8995ySk5Odv23JyMjQt99+qyeeeKLWhQAALFIpxGWcgolOXAAAAB/Eombu1aqVtH69di5ZIknq16+fQvlZGahk6NChmjZtmt555x1Jks1mU0FBgZ588kkNHz681setVog7evRo5/aNN96oZ555RhMmTHDe9+c//1lvvvmmvvvuOz344IO1LgYAYIFK4xQIcZ1KS52bhLgAAAA+omInLlzv5OJmB9eskcQoBeB0Xn75ZV111VVKSEjQiRMndNttt2nz5s1q1qyZPvvss1oft8afD/3222/14osvVrn/qquu0sSJE2tdCADAIpU6cZmJa6rUiRtCiAsAAOATzBC3RQtr6/BXJxc3K9q6VRKLmgGnEx8frzVr1mjWrFlas2aNCgoKNHbsWI0aNUqRkZG1Pm6NQ9ymTZvq3//+tx566KFK9//73/+utOIaAMBHMBP3tBinAAAA4IPoxHWvk5249U6uh0SIC1RWUlKiLl266Ouvv9aoUaM0atQolx27xiHu008/rbvvvls//vijBgwYIElatmyZ5s2bp3fffddlhQEAPIRxCqdFiAsAAOCDCHHd62SI20pSmzZt1JKvM1BJaGioTpw44ZZjB9X0CXfeead+/vlnRUVFafbs2Zo9e7aioqK0ePFi3XnnnW4oEQDgVixsdlqOijNxQ2r8O08AAABYgRDXveLjjSsxDxc4k5SUFL344osqrfCe0hVq9a50wIABmjlzpksLAQBYpIgQ93QcxXTiAgAA+JzsbOOaENc9TnbiNpN0cZ8+1tYCeKnMzEylp6dr/vz56t69u+rXrzy2cPbs2bU6bq1CXLvdri1btmjfvn2y2+2VHrvkkktqVQgAwCLFhcZ1cJgUEmZtLV6EcQoAAAA+prBQyssztglx3cIRHa1jkupLGtS+vdXlAF6pUaNGuvHGG11+3BqHuEuXLtVtt92mHTt2yOFwVHrMZrOprKzMZcUBADyg+KhxTRduJZXGKYQyTgEAAMDrmV249etLDRtaW4uf+n3rVpVI6iqpawPePwCn8+GHH7rluDV+V3rvvfeqX79+mjt3rlq0aCGbzeaOugAAnmKOUyDErcRRUuzcphMXAADABzAP1+0yMjIUKyPEDdu3z+pygIBS44XNNm/erBdeeEFdu3ZVo0aNFB0dXekCAPAx5jiFcELcihinAPinp556SjabrdKlS5cuzsdPnDihlJQUNW3aVA0aNNCNN96o3NzcSsfYuXOnrr76atWrV08xMTF65JFHqixc8eOPP6pPnz4KDw9Xx44dNWPGjCq1pKWlqV27doqIiNCAAQO0fPlyt7xmAAgYZojbooW1dfixpUuXapd5Y9eus+0KBKz27durQ4cOZ7zUVo07cQcMGKAtW7aoY8eOtT4pAMBLlJVKpceNbT/rxC1culTHMlcorE28wrt0UXj79rKF1WDmb8VAJoRxCoA/ueCCC/Tdd985b4dU+Df+4IMPau7cufryyy8VHR2tCRMmaOTIkfr5558lSWVlZbr66qsVFxenJUuWKDs7W3fccYdCQ0P1wgsvSJK2bdumq6++Wvfee69mzpyp9PR03X333WrRooWSk5MlSbNmzVJqaqqmT5+uAQMGaNq0aUpOTtamTZsUExPjwa8GAPgRM8Rt1craOvxYRkaGmps3CHGB03rggQcq3S4pKdGqVas0b948PfLII7U+bo3fld5333166KGHlJOTo+7duyv0lO6kHj161LoYX5CWlqa0tDRm/wLwD8UF5dt+1IlbkpOjXff8SY7i8pEICg1V+HnnKaJzZ4V36aKILp0V3rmzQpo0Oe0x6MQF/FdISIji4uKq3J+Xl6f3339fn376qS6//HJJxkyzrl27aunSpRo4cKDmz5+vrKwsfffdd4qNjVWvXr307LPP6tFHH9VTTz2lsLAwTZ8+Xe3bt9crr7wiSeratasWL16sV1991RniTp06VePGjdOYMWMkSdOnT9fcuXP1wQcfaOLEiR76SgCAnyHEdavCwkL9+uuv6m3eQYgLnNb9999/2vvT0tK0YsWKWh+3xiGuubraXXfd5bzPZrPJ4XAExMJmKSkpSklJUX5+PuMjAPg+c5SCJIXWs64OFyvMWFo5wJWkkhIVbdyooo0bpX//23l3SIsWiuzWTRE9uiuyew9FdLtAwQ0aEOICfmzz5s1q2bKlIiIilJSUpClTpqhNmzZauXKlSkpKNGTIEOe+Xbp0UZs2bZSRkaGBAwcqIyND3bt3V2xsrHOf5ORkjR8/XuvXr1fv3r2VkZFR6RjmPmZXRnFxsVauXKlJkyY5Hw8KCtKQIUOUkZFxxrqLiopUVFTkvH306NG6fikAwL/s2WNcMxPXLVasWKGysjKdaNpUOniQEBeooWHDhmnSpEm1XvisxiHutm3banUiAIAXKjlevh1W37o6XOxYZqZzu9Gtt8ief1RFv21S0dZt0im/bCzNztbR7GwdXbDAuMNmU1iHDpLD4dzHFkKIC/iLAQMGaMaMGercubOys7P19NNPa9CgQVq3bp1ycnIUFhamRo0aVXpObGyscnJyJEk5OTmVAlzzcfOxs+2Tn5+v48eP6/DhwyorKzvtPhs3bjxj7VOmTNHTTz9dq9cNAAGBhc3caunSpZKk5n36SAsWEOICNfSPf/xDTc7wSdDqqHGI27Zt21qfDADgZUr8sxPXDHFtYWGKnThRQeHhkiR7UZGKtmxR0cZNKvptk05s2KgT69bJfuxY+ZMdDhX//nul49GJC1hv69atdVoIwjRs2DDndo8ePTRgwAC1bdtWX3zxhSIjI+t8fHeaNGmSUlNTnbf37NmjhIQECysCAC9DiOtWZojb4dJLjRA3L086elRq2NDiygDv0rt3b9lsNudth8OhnJwc7d+/X2+99Vatj1vjEPfjjz8+6+N33HFHrYsBAHiYH3biluTkqORkV0Bkjx7OAFeSgsLDFXnBBYq84ALnfY6yMhVv26bjv67ViXVrjetNmyRznILNprA28R59DQCq6tixoy699FKNHTtWf/jDHxQREeGS4zZq1Ejnn3++tmzZoiuvvFLFxcU6cuRIpW7c3Nxc5wzduLg4LV++vNIxcnNznY+Z1+Z9FfeJiopSZGSkgoODFRwcfNp9Tjer1xQeHq7wCt/T8vPza/6CAcBfORyEuG7kcDicI3/6Dh4sRUcbIe7u3VLXrtYWB3iZ66+/vlKIGxQUpObNm2vw4MHq0qVLrY9b4xD31OG8JSUlOnbsmMLCwlSvXj1CXADwJZVm4np3B1p1HV+92rkd2a/vOfe3BQcrvGNHhXfsKI28QdLJjt1NRqdueKdOCuWNAGC5X375RR9++KFSU1M1YcIE3XzzzRo7dqz69+9fp+MWFBTo999/1+23366+ffsqNDRU6enpznUgNm3apJ07dyopKUmSlJSUpOeff1779u1TTEyMJGnBggWKiopydsUmJSXpm2++qXSeBQsWOI8RFhamvn37Kj09XSNGjJAk2e12paena8KECXV6PQAQsPLzJfPTVfzs5nI7duxQbm6uQkND1adPHyk+3ghxd+0ixAVO8dRTT7nluEE1fcLhw4crXQoKCrRp0yZdfPHF+uyzz9xRIwDAXUoqjBHwk3EKx1evcW5H9upVq2MEhYcrskcPNb75f1SvT+9zPwGA2/Xq1Uuvvfaa9u7dqw8++EDZ2dm6+OKL1a1bN02dOlX79++v1nEefvhh/fTTT9q+fbuWLFmiG264QcHBwbr11lsVHR2tsWPHKjU1VT/88INWrlypMWPGKCkpSQMHDpQkDR06VAkJCbr99tu1Zs0affvtt3r88ceVkpLi7JK99957tXXrVv3lL3/Rxo0b9dZbb+mLL77Qgw8+6KwjNTVV7777rj766CNt2LBB48ePV2FhocaMGeP6Lx4ABAJzUbPGjSUvH4/ji8xRCr169TLGD8Wf/KQac3GBKoKDg7Vv374q9x88eFDBwcG1Pm6NQ9zT6dSpk/76179W6dIFAHi5iuMU/CXEXVMhxO3Z08JKALhDSEiIRo4cqS+//FIvvviitmzZoocffljx8fG64447lJ2dfdbn7969W7feeqs6d+6s//mf/1HTpk21dOlSNW/eXJL06quv6pprrtGNN96oSy65RHFxcZo9e7bz+cHBwfr6668VHByspKQk/fGPf9Qdd9yhZ555xrlP+/btNXfuXC1YsEA9e/bUK6+8ovfee0/JycnOfW6++Wa9/PLLmjx5snr16qXVq1dr3rx5VRY7AwBUE6MU3MoMcc1faqp1a+OaEBeowlFhkeyKioqKFBYWVuvj1nicwhkPFBKiveY3TQCAb6g4TiHM90NcR3GxTqxfL0kKbdtGIY0bW1wRAFdbsWKFPvjgA33++eeqX7++Hn74YY0dO1a7d+/W008/reuvv77KzNqKPv/887MePyIiQmlpaUpLSzvjPm3btq0yLuFUgwcP1qpVq866z4QJExifAACuQojrVlVCXDpxgSpef/11SZLNZtN7772nBg0aOB8rKyvTwoULPTsT96uvvqp02+FwKDs7W2+++aYuuuiiWhcCALCAn3Xinti4UY7iYkl04QL+ZurUqfrwww+1adMmDR8+XB9//LGGDx+uoCDjg2Xt27fXjBkz1K5dO2sLBQBYgxDXbYqKipy/mCTEBc7s1VdflWRkpdOnT680OiEsLEzt2rXT9OnTa338Goe45uILJpvNpubNm+vyyy/XK6+8UutCAAAWKKm4sJnvh7iV5uES4gJ+5e2339Zdd92lO++8Uy1atDjtPjExMXr//fc9XBkAwCuYM3FbtbK2Dj+0atUqFRcXq3nz5mrfvr1xJyEuUMW2bdskSZdddplmz56txi7+ZGiNQ1y73e7SAgAAFqrYiesH4xQqz8PtZV0hAFxuwYIFatOmjbPz1uRwOLRr1y61adNGYWFhGj16tEUVAgAsRSeu21QcpWCz2Yw7K4a4Dodk3g9AP/zwg1uOW6eZuOagXhv/WAHANxUfK9/2h07ckyGuLTxcEZ3Pt7gaAK503nnnKTs7WzExMZXuP3TokNq3b6+ysjKLKgMAeAVCXLcxQ9ykpKTyO82FzQoLpbw8qVEjzxcGeLHdu3frq6++0s6dO1V8cuSfaerUqbU6Zq1C3Pfff1+vvvqqNm/eLEnq1KmTHnjgAd199921KgIAYBE/GqdQeuCASnbvliRFdOsmW2ioxRUBcKUzrfJbUFCgiIgID1cDAPA6hLhuU2VRM0mqV09q2lQ6eNDoxiXEBZzS09N13XXXqUOHDtq4caO6deum7du3y+FwqE+fPrU+bo1D3MmTJ2vq1Km67777nL+FycjI0IMPPqidO3fqmWeeqXUxAAAP86NxCsd/XevcZh4u4D9SU1MlGZ/8mjx5surVK/9eVVZWpmXLlqlXr14WVQcA8Ap2u5SdbWwT4rrU3r17tWPHDgUFBalfv36VH2zdujzE7d7dmgIBLzRp0iQ9/PDDevrpp9WwYUP985//VExMjEaNGqWrrrqq1setcYj79ttv691339Wtt97qvO+6665Tjx49dN999xHiAoAv8aNxCic2bnBuR1yQYGElAFzJXA3b4XBo7dq1CgsLcz4WFhamnj176uGHH7aqPACANzhwQCopMeayxsVZXY1fycjIkCR1795dDRs2rPxgfLy0Zg2LmwGn2LBhgz777DNJUkhIiI4fP64GDRromWee0fXXX6/x48fX6rg1DnFLSkqq/vZFUt++fVVaWlqrIgAAFinxnxC3aOMm53ZEly4WVgLAlcyFIcaMGaPXXntNUVFRFlcEAPA65iiFmBiJkVouZYa4F154YdUHKy5uBsCpfv36zjm4LVq00O+//64LLrhAknTgwIFaHzfo3LtUdvvtt+vtt9+ucv8777yjUaNG1boQAIAF/CjEPbFpoyTJFhGhsHbtrC0GgMt9+OGHBLgAgNNjHq7bLFmyRNIpi5qZCHGB0xo4cKAWL14sSRo+fLgeeughPf/887rrrrsqz5auoWp14pqzyCRjHtl7772n+fPnO0+8bNky7dy5U3fccUetCwEAWMAcpxAcJgXXaq1Lr1BWUKiSHTslSeGdOskWHGxxRQBcYeTIkZoxY4aioqI0cuTIs+47e/ZsD1UFAPA6hLhuUVRUpJUrV0o6RyfuycWFARimTp2qgoICSdLTTz+tgoICzZo1S506ddLUqVNrfdxqvWM3Z5GZ+vbtK0n6/fffJUnNmjVTs2bNtH79+loXAgCwgNmJGxppbR11VPTbb87tiC6dLawEgCtFR0fLZrM5twEAOK09e4xrQlyX+uWXX1RcXKzmzZurQ4cOVXegExeooqysTLt371aPHj0kGaMVpk+f7pJjVyvENWeR+Ztt27bprrvuUm5uroKDg7V06VLVr1/f6rIAwHOcIa5vf+8rOjlKQZLCmYcL+I0PP/zwtNsAAFRiduK2amVtHX7GnIeblJTk/KVqJRVDXIfDWFgOCHDBwcEaOnSoNmzYoEaNGrn02DWeiXs6DodD//3vf/WHP/zBFYfzmDvvvFPPPPOMsrKy9NNPPyk8PNzqkgDAs8wQN8zH5+GyqBng944fP65jx8rneO/YsUPTpk3T/PnzLawKAOAVGKfgFmdd1EwqD81PnJAOHvRQVYD369atm7Zu3ery49YpxN22bZueeOIJtWnTRjfccINOnDjhqrrcbv369QoNDdWgQYMkSU2aNFFIiO/OgwSAWin2j3EKJzZucG6Hd2acAuCPrr/+en388ceSpCNHjqh///565ZVXdP3115920V0AQAAhxHU5h8Nx9kXNJCk8XIqJMbYZqQA4Pffcc3r44Yf19ddfKzs7W/n5+ZUutVXjELeoqEgzZ87U5Zdfrs6dO+uFF15Qamqq9u3bp6+//rrWhZxq4cKFuvbaa9WyZUvZbDbNmTOnyj5paWlq166dIiIiNGDAAC1fvrzax9+8ebMaNGiga6+9Vn369NELL7zgstoBwCeUlUj2EmPbh8cpOMrKVPTbZklSaHy8ghs0sLgiAO7wyy+/OH/5/o9//ENxcXHasWOHPv74Y73++usWVwcAsBQhrsvt2rVLe/fuVUhIiPr163fmHZmLC1QxfPhwrVmzRtddd51at26txo0bq3HjxmrUqJEaN25c6+NWu/V05cqVev/99/XZZ5+pY8eOuv322/XZZ5+pdevWSk5OVlRUVK2LOJ3CwkL17NlTd91112lXI541a5ZSU1M1ffp0DRgwQNOmTVNycrI2bdqkmJO/CerVq5dKS0urPHf+/PkqLS3VokWLtHr1asXExOiqq65SYmKirrzySpe+DgDwWiXlH0v25U7c4p075Th+XBKLmgH+7NixY2rYsKEk42e5kSNHKigoSAMHDtSOHTssrg4AYJmSEik319gmxHUZswu3V69eqlfvLKPX4uOllSsJcYEK3LW2WLVD3AEDBui+++7T0qVL1dkDH1UdNmyYhg0bdsbHp06dqnHjxmnMmDGSpOnTp2vu3Ln64IMPNHHiREnS6tWrz/j8Vq1aqV+/foo/+Vuj4cOHa/Xq1WcMcYuKilRUVOS8XZf2ZwDwCsUVQtww3+3ELdpUPg83vDPzcAF/1bFjR82ZM0c33HCDvv32Wz344IOSpH379rm8mQAA4ENyc41FtUJCpObNra7Gb1Rc1OyszE7c3bvdXBHgOy699FK3HLfa4xSuuOIKvf/++3rmmWc0b948ORwOtxRUHcXFxVq5cqWGDBnivC8oKEhDhgxxfqM5l8TERO3bt0+HDx+W3W7XwoUL1bVr1zPuP2XKFEVHRzsvZvgLAD6rUieu7y5sdmJTxUXN6MQF/NXkyZP18MMPq127dhowYIDzTeX8+fPVu3dvi6sDAFjGHKXQooUU5JK126HyTtwzLmpmYpwCcFqLFi3SH//4R1144YXas2ePJOmTTz7R4sWLa33Man+H+/bbb7V+/Xp17txZ48ePV4sWLXT//fdLkmw2W60LqI0DBw6orKxMsbGxle6PjY1VTk5OtY4REhKiF154QZdccol69OihTp066Zprrjnj/pMmTVJeXp7zsotvUAB8nb+MU/i9fNXP8I4dLawEgDv94Q9/0M6dO7VixQrNmzfPef8VV1yhV1991cLKAACWYh6uyx0/ftz5yeZqd+KSkQBO//znP5WcnKzIyEj98ssvzk/25+Xl1WlNrhr9mio+Pl6TJ0/Wtm3b9Mknn2j//v0KCQnR9ddfr8cee0y//PJLrQuxwrBhw7R27VqtW7dOU6dOPeu+4eHhioqKqnQBAJ9Wcrx824fHKRRvM0JcW2ioQlu3trgaAO4UFxen3r17K6hCp1X//v3VpQujVAAgYJ3scCPEdZ0VK1aotLRULVq0UJs2bc6+s/nzNyEu4PTcc89p+vTpevfddxUaGuq8/6KLLqpTdlrtmbinuvLKK3XllVfq8OHD+vvf/64PPvhAL774osrKympdTHU1a9ZMwcHByjWHl5+Um5uruLg4t58fAPxCcWH5to924jpKS1W03VjQKKxdW9lCav2/NQBerrCwUH/961+Vnp6uffv2yW63V3p869atZ3gmAMCvmZ24rVpZW4cfMUcpJCUlnfuT1xVn4trtjLQAJG3atEmXXHJJlfujo6N15MiRWh+3zu92GzdurPvuu0/33Xefxzpxw8LC1LdvX6Wnp2vEiBGSJLvdrvT0dE2YMMGt505LS1NaWppHwmoAcKuKnbg+OhO3ZPduY0ViSWHtO1hcDQB3uvvuu/XTTz/p9ttvV4sWLTw+zgsA4KUYp+ByZoh70UUXnXvnli0lm834mXzfPonGOkBxcXHasmWL2rVrV+n+xYsXq0OH2r9vdWnLUp8+fVx2rIKCAm3ZssV5e9u2bVq9erWaNGmiNm3aKDU1VaNHj1a/fv3Uv39/TZs2TYWFhRozZozLajidlJQUpaSkKD8/X9HR0W49FwC4VcWZuD46TqGoQudd2HmEuIA/++9//6u5c+dW7w0lACBwEOK6lMPhqP6iZpIUGmosKrd3rzFSgRAX0Lhx43T//ffrgw8+kM1m0969e5WRkaGHH35YTzzxRK2P67WfO12xYoUuu+wy5+3U1FRJ0ujRozVjxgzdfPPN2r9/vyZPnqycnBz16tVL8+bNq7LYGQDgDPxgnEJxhRA3vA6/0QTg/Ro3bqwmTZpYXQYAwNswE9elNm/erAMHDig8PFy9e/eu3pPi440Qd/duKTHRvQUCPmDixImy2+264oordOzYMV1yySUKDw/Xww8/rPvuu6/Wx/XaEHfw4MFyOBxn3WfChAluH58AAH6r0jgFX+3E3ebcZpwC4N+effZZTZ48WR999JHq1fPNETAAADegE9elzC7cxMREhYeHV+9J8fHSsmUsbgacZLPZ9P/+3//TI488oi1btqigoEAJCQlq0KBBnY7rtSGut2ImLgC/UeIHnbg7dzi3w06ZNwTAv7zyyiv6/fffFRsbq3bt2lVa6VeSx9ZmAAB4kePHpcOHjW0WNnOJGo1SMLVubVwT4gKVhIWFqWHDhmrYsGGdA1yJELfGmIkLwG9U7MQN882utpIdOyVJwc2aKbiBb3YTA6geczFbAACcsrON68hIiffnLlGrEDc+3rgmxAUkSaWlpXr66af1+uuvq6CgQJLUoEED3XfffXryySerNCNUV7VC3N69e1d7BWC6IADARxRXWNjMB8cp2I8dU+n+/ZKkMPMHRwB+68knn7S6BACAt6k4SqGamQXO7PDhw1q/fr0kQlygLu677z7Nnj1bL730kpKSkiRJGRkZeuqpp3Tw4EG9/fbbtTputUJcOh8AwA+VVAxxfW+cQnGFHxLD2rSxsBIAnnLkyBH94x//0O+//65HHnlETZo00S+//KLY2Fi14mO0ABB4WNTMpZYuXSpJ6tSpk5o3b179JxLiApV8+umn+vzzzzVs2DDnfT169FB8fLxuvfVW94a4dD4AgB+qGOKG+V4nbvGO8nm4oW0JcQF/9+uvv2rIkCGKjo7W9u3bNW7cODVp0kSzZ8/Wzp079fHHH1tdIgDA01jUzKVqNUpBKg9x9+6Vysqk4GAXVwb4lvDwcLU7zZot7du3V1hYWK2PG1SHmgJSWlqaEhISlJiYaHUpAFA3xb69sFnJzp3O7bA2bS2sBIAnpKam6s4779TmzZsVERHhvH/48OFauHChhZUBACxjhrh8GsMlah3ixsVJISFGgJuT44bKAN8yYcIEPfvssyoqKnLeV1RUpOeff14TJkyo9XFrvLBZWVmZXn31VX3xxRfauXOniouLKz1+6NChWhfjC1jYDIDfqLiwWajvLWxWvKNCiEsnLuD3MjMz9X//939V7m/VqpVyeMMIAIGJTlyXKS0t1bJlyyRJF110Uc2eHBxs/Bns3GmMVCBUR4BbtWqV0tPT1bp1a/Xs2VOStGbNGhUXF+uKK67QyJEjnfvOnj272setcYj79NNP67333tNDDz2kxx9/XP/v//0/bd++XXPmzNHkyZNrejgAgFV8fZwCM3GBgBIeHq78/Pwq9//22281m9sHAPAfzMR1mV9//VWFhYWKjo5W165da36A1q3LQ9yBA11fIOBDGjVqpBtvvLHSffEuWIy7xiHuzJkz9e677+rqq6/WU089pVtvvVXnnXeeevTooaVLl+rPf/5znYsCAHiAGeIGhUjBodbWUgslu3dLkoKiohTMJyMAv3fdddfpmWee0RdffCFJstls2rlzpx599NEqPyQDAAIEnbguY45SSEpKUlBQLSZvsrgZ4PThhx+65bg1/peZk5Oj7t27S5IaNGigvLw8SdI111yjuXPnurY6AID7FJ8McUN9rwvXUVamkpMfnw7l41pAQHjllVdUUFCg5s2b6/jx47r00kvVsWNHNWzYUM8//7zV5QEAPM3hIMR1oVrPwzUR4gJuV+NO3NatWys7O1tt2rTReeedp/nz56tPnz7KzMxUeHi4O2oEALiDORPXBxc1K923TyotlSSFtuKHdiAQREdHa8GCBfr555+1Zs0aFRQUqE+fPhoyZIjVpQEArHD0qFR4cqFeQtw6+/nnnyXVYh6uiRAXcDp48KAmT56sH374Qfv27ZPdbq/0eG3XE6txiHvDDTcoPT1dAwYM0H333ac//vGPev/997Vz5049+OCDtSrCl6SlpSktLU1lZWVWlwIAdVNy8ofeMN9b1KzEnH8mKZQf2gG/Z7fbNWPGDM2ePVvbt2+XzWZT+/btFRcXJ4fDIZvNZnWJAABPM7two6Ol+r73yTJvsmfPHu3cuVNBQUHq379/7Q5CiAs43X777dqyZYvGjh2r2NhYl/2sWuMQ969//atz++abb1abNm2UkZGhTp066dprr3VJUd4sJSVFKSkpys/PVzQzGAH4Muc4BR8Mcc0f2iWFMU4B8GsOh0PXXXedvvnmG/Xs2VPdu3eXw+HQhg0bdOedd2r27NmaM2eO1WUCADyNRc1cxhyl0LNnTzVo0KB2BzFD3JPrVgCBbNGiRVq8eLF69uzp0uPWOMQ9VVJSkpKSklxRCwDAU+xlUlmRse2LIW6FTtwQfnAH/NqMGTO0cOFCpaen67LLLqv02Pfff68RI0bo448/1h133GFRhQAASzAP12XqPEpBKg9xs7OlkhIp1PcWTgZcpUuXLjp+/LjLj1urEHfz5s1nnOswefJklxQGAHCjkmPl2744ToFOXCBgfPbZZ3rssceqBLiSdPnll2vixImaOXMmIS4ABBpCXJep86JmktS8uRHclpQYfzZt27qoOsD3vPXWW5o4caImT56sbt26KfSUX2pERUXV6rg1DnHfffddjR8/Xs2aNVNcXFyluQ42m40QFwB8QUmF3wr6eCcuM3EB//brr7/qpZdeOuPjw4YN0+uvv+7BigAAXsEMcfmFfp0cO3ZMq1atklTHEDcoSGrdWtq2zZiLS4iLANaoUSPl5+fr8ssvr3S/uZZDbdfZqnGI+9xzz+n555/Xo48+WqsTAgC8QHFh+bZPhrjGD+1B9esriPnkgF87dOiQYmNjz/h4bGysDh8+7MGKAABegZm4LpGZmanS0lK1atVKbdq0qdvB4uPLQ1wggI0aNUqhoaH69NNPrV3Y7PDhw7rppptccnIAgEUqdeJGWldHLTgcDpVkZ0syunBZlR7wb2VlZQoJOfOPrMHBwSotLfVgRQAAr8A4BZcw5+FeeOGFdf+52pyLS4iLALdu3TqtWrVKnTt3dulxaxzi3nTTTZo/f77uvfdelxbiK9LS0pSWllbr1mcA8AqVZuLWt66OWig7fFiO4mJJUkhcnMXVAHA3h8OhO++8U+Hh4ad9vKioyMMVAQC8AiGuS5jzcOu0qJmJEBeQJPXr10+7du2yPsTt2LGjnnjiCS1dulTdu3evMpz3z3/+s8uK80YpKSlKSUlRfn6+ovkILwBf5cPjFEpzc53boXFn/og1AP8wevToc+7DomYAEGAcDkJcF7Db7crIyJBUx3m4JjPE3b277scCfNh9992n+++/X4888shps9MePXrU6rg1DnHfeecdNWjQQD/99JN++umnSo/ZbDa/D3EBwC/48MJmJTk5zu2QGEJcwN99+OGHVpcAAPA2Bw9KJSXGdosW1tbiwzZt2qRDhw4pMjJSvXr1qvsB6cQFJEk333yzJOmuu+5y3mez2Ty/sNm2bdtqdSIAgBcpqdCJG+ZbIW5p7j7ndgiduAAAAIHHXNSseXMpLMzaWnyYOUqhf//+VToFa6V1a+OaEBcBzl3ZaY1D3IocDocksagMAPgaH17YrCS3vBM39Cwr1gMAAMBPMUrBJSouauYSZifuvn1SUZF0hnn2gL9r27atW44bVJsnffzxx+revbsiIyMVGRmpHj166JNPPnF1bQAAdymusLBZqG8tbFapEzeWhc0AAAACDiGuSyxatEiSNGjQINccsGlTKSLC2GYuLgLcJ598oosuukgtW7bUjh07JEnTpk3Tv//971ofs8Yh7tSpUzV+/HgNHz5cX3zxhb744gtdddVVuvfee/Xqq6/WuhAAgAeVVAhxfW2cQk7FTtwYCysBAACAJcyAsFUra+vwYTk5OdqyZYtsNpvrOnFtNubiwv0WLpSuvdb4JY7NJs2ZU/lxh0OaPNmYlx0ZKQ0ZIm3eXHmfQ4ekUaOkqCipUSNp7FipoKDyPr/+Kg0aZPxiIj5eeumlapf49ttvKzU1VcOHD9eRI0ecM3AbNWqkadOm1fglm2oc4r7xxht6++239eKLL+q6667Tddddp5deeklvvfWWXn/99VoXAgDwoIohrq+NU9iXK0myhYcrKDra4moAAADgceZMXHMGK2rM7MLt0aOHol35MzUhLtytsFDq2VNKSzv94y+9JL3+ujR9urRsmVS/vpScLJ04Ub7PqFHS+vXSggXS11//f/buO7zJev3j+DvdUGhLGQVkb8oqS6goQ0YFxAEqKB7WEVfxyHD+VFQUOQ6WxwpO8KggqMBRVATZyiqjihQQEAWBlt1CoTP5/fGQNLWMtrR9Mj6v68qVJ8k3ee4wSvn0zv01guH77899PDUVevWC2rVhyxZ4/XV44QV4990Clfif//yH9957j2eeeQZfX1/H/e3atWP79u1FeNOGQs/EPXLkyEV/SnPddddx5MiRIhfiLuLi4oiLiyvyTnIiIi4h02ljM3cbp5BkhLh+VSM0k11ERETEG9k7cRXiFlmxj1Kws4e4GqcgJaV3b+NyMTYbTJsGzz4Lt95q3Pff/0JEhNGxO2gQ7NwJS5ZAfDy0a2es+c9/oE8feOMNo8P3008hMxM+/NDYPLFZM0hIgClT8oa9l7B//35at26d7/7AwEDS0tIu8oyCKXQnboMGDZg/f36+++fNm0fDhg2LXIi7iI2NJTExkfj4eLNLEREpOjfd2CznbBrWCx9z8a+iTc1EREREvJLGKVy1H3/8ESiBENcerKsTVwrrzBmjA9Z+ycgo/Gvs3w9JScYIBbvQUOjQAdavN26vX2+MULAHuGCs9/ExOnftazp3NgJcu5gY2L0bTp26Yhl169YlISEh3/1LliyhadOmhX9fFxS6E/fFF19k4MCBrFmzhk6dOgHGjobLly+/aLgrIiIuKM9MXPfpxM2+MEoBwC9CIa6IiIiIV9I4hauSmprKzz//DJRgJ65CXCmkkMjIvHc8/7wxwqAw7Pun/P3/ihERuY8lJUGVv+2t4ucH4eF519Stm/817I9VqHDR00+YMIHHHnuMsWPHEhsbS3p6OjabjU2bNjF37lwmTZrE+++/X7j35FxmYZ8wYMAANm7cyNSpU1l0YXhw06ZN2bRp00VbhUVExAXlmYnrPhubZR877jj2+/s/vCIiIiLi+c6dMzYlAoW4RbRu3TqsViv169enWrVqxfviCnGliFITEwlx7q4PDDSvmCJ68cUXefDBB7nvvvsoU6YMzz77LOfOneOee+6hevXqTJ8+nUGDBhX59Qsd4gK0bduWTz75pMgnFRERk2W658ZmOSecQtyKFU2sRERERERMYe/CDQ42PiYthWafh3v99dcX/4srxJWiKl8eQkKu7jWqVjWuk5PB+QcUyckQFZW75ujRvM/LzjZ+OGR/ftWqxnOc2W/b11yEzWZzHA8ePJjBgwdz7tw5zp49S5ViaEIq0Ezc1NTUPMeXu4iIiBtwnonrTuMUjjuFuJUrmViJiIiIiJjCHuJecw1ok9siKbF5uJAb4p48aXRNi5SmunWNkHX58tz7UlONWbfR0cbt6Gg4fRq2bMlds2IFWK3G7Fz7mjVrICsrd82yZdC48SVHKdj9ffPtsmXLFkuACwXsxK1QoQJHjhyhSpUqhIWFXXQ3cJvNhsViIScnp1gKExGREpR1YUdMiw/4Blx+rQvJM06hkkJcEREREa9j39RMoxSKJCMjg40XNm8qkRA3NBTKlYOzZ41u3MaNi/8c4t3OnoW9e3Nv798PCQnGTNtatWD0aHj5ZWjY0Ah1n3sOqleH224z1jdtCjfdBCNHwsyZRlA7ahQMGmSsA7jnHnjxRfjnP+HJJ+HXX2H6dJg69YrlNWrU6KK5qbOT9pEwhVSgEHfFihWEh4cDsHLlyiKdSEREXIi9E9e/rFt1MGSfOOE49lWIKyIiIuJ9FOJelc2bN5ORkUGVKlVo2LBh8Z/AYjG6cXfuNH6vFOJKcdu8Gbp1y709dqxxPXQozJ4NTzwBaWlw//1Gx+3118OSJRAUlPucTz81gtvu3cHHBwYMgDffzH08NBSWLoXYWGjbFipVgvHjjde8ghdffJHQEhr1UqAQt0uXLo7junXrUrNmzXypss1m46BmnoiIuAd7iOsXdPl1Lib7+DHHsTpxRURERLyQ8zgFKTT7PNwbbrjhit2CRVajhhHiKiOSktC1KzjNns3HYoEJE4zLpYSHw5w5lz9Py5Zw4e9LYQwaNKjYxif8XYFm4jqrW7cux44dy3f/yZMnqVu3brEUJSIiJSw73bj2L2tuHYXkmInr64tvWJiptYiIiIiICdSJe1WcQ9wSo83NxEuV2A9GLih0iGuffft3Z8+eJSjIvTq6RES8VpY9xHWvr9s5F2bi+lWsiMWn0P+EiYiIiIi7U4hbZFarlZ9++gmA66+/vuROpBBXvJTtch3CxaBA4xQAxl6YMWGxWHjuuecoWza3eysnJ4eNGzcSFRVV7AW6mri4OOLi4rSBm4i4t6wLO8W60TgFm9VK9oUB8L6VKppcjYiIiIiYwj5OQSFuof3666+kpKRQrlw5WrVqVXInUogrXspqtZbo6xc4xN22bRtgpMrbt28nICB3N/OAgABatWrFY489VvwVupjY2FhiY2NJTU0tsUHFIiIlypoD1izj2L+MubUUQs7p03DhB2iahysiIiLihbKyICnJONZM3EKzj1K47rrr8PMrcBxUeApxRUpEgf/Wrly5EoDhw4czffp0QkJCSqwoEREpQfZNzcCtOnGzL4xSAPCrVNnESkRERETEFEeOGBsa+ftDZX0/WFilMg8XFOKKlJBCDxScNm0a2dnZ+e4/efIkqampxVKUiIiUIPumZuBenbgnnELcihqnICIiIuJ17KMUrrkGtD9CodhsNkeIW6LzcCF31EVqqnERkWJR6K96gwYN4rPPPst3//z58xk0aFCxFCUiIiXIXTtxjzuFuJU1TkFERETE69g3NdMohUL7448/OHz4MP7+/nTo0KFkT1a+PNjHT9p/z0TkqhU6xN24cSPdunXLd3/Xrl3ZuHFjsRQlIiIlyE07cbNPnHQc+4arE1dERETE69gDQW1qVmj2Ltx27dpRpkwp/B9AIxVEil2hQ9yMjIyLjlPIysri/PnzF3mGiIi4FDftxM05dcpx7BdewcRKRERERMQU9nEKCnELrdRGKdgpxBUpdoUOca+99lrefffdfPfPnDmTtm3bFktRIiJSgty0E9c5xPWtoBBXRERExOuoE7fISm1TMzuFuCLFzq+wT3j55Zfp0aMHP//8M927dwdg+fLlxMfHs3Tp0mIvUEREipmbduJmn3IepxBuYiUiIiIiYgrNxC2SY8eOsXv3bgA6depUOidViCtS7ArdidupUyfWr19PzZo1mT9/Pl9//TUNGjTgl19+Kb2f6IiISNG5bSfuacexb1iYaXWIiIiIiEk0TqFIfvzxRwCaNWtGeGk1QyjEFSl2he7EBYiKiuLTTz8t7lpERKQ0uGknrn2cgk/ZsvgEBppcjYiIiIiUKqtVIW4RlfooBcgNce3d0yJy1YoU4tqlp6eTmZmZ576QkJCrKkhEREqY23biGiGuRimIiIiIeKFjxyArCywWqFrV7Grciikhrj1oP3gQbDbj901ErkqhxymcO3eOUaNGUaVKFYKDg6lQoUKei4iIuLisc7nHbtKJa8vJIef0aUCbmolI8fn3v/+NxWJh9OjRjvvS09OJjY2lYsWKlCtXjgEDBpCcnJzneQcOHKBv376ULVuWKlWq8Pjjj5OdnZ1nzapVq2jTpg2BgYE0aNCA2bNn5zt/XFwcderUISgoiA4dOrBp06aSeJsiIp7B3tFZtSr4+5tbixs5c+YM27ZtA+D6668vvRPbQ9y0NLjwfbyIXJ1Ch7iPP/44K1asYMaMGQQGBvL+++/z4osvUr16df773/+WRI0iIlKcstyvEzcnNdX4CT7gWyHM3GJExCPEx8fzzjvv0LJlyzz3jxkzhq+//prPP/+c1atXc/jwYfr37+94PCcnh759+5KZmcm6dev46KOPmD17NuPHj3es2b9/P3379qVbt24kJCQwevRo7rvvPr7//nvHmnnz5jF27Fief/55tm7dSqtWrYiJieHo0aMl/+ZFRNyRRikUyfr168nJyaFOnTrUqlWr9E5ctixUrGgcay6uSLEodIj79ddf8/bbbzNgwAD8/Py44YYbePbZZ3nllVc0J1dExB1kO83EdZcQ98IoBQC/ChqnICJX5+zZswwePJj33nsvzyfJUlJS+OCDD5gyZQo33ngjbdu2ZdasWaxbt44NGzYAsHTpUhITE/nkk0+Iioqid+/evPTSS8TFxTnGjM2cOZO6desyefJkmjZtyqhRo7jjjjuYOnWq41xTpkxh5MiRDB8+nMjISGbOnEnZsmX58MMPS/cXQ0TEXdg7cRXiFsqaNWsA6Ny5c+mfXJubiRSrQoe4J0+epF69eoAx//bkyZOA0ZZv/+LgyeLi4oiMjKR9+/ZmlyIiUjTOnbhuMk4h58K/NaBxCiJy9WJjY+nbty89evTIc/+WLVvIysrKc3+TJk2oVasW69evB4yOphYtWhAREeFYExMTQ2pqKjt27HCs+ftrx8TEOF4jMzOTLVu25Fnj4+NDjx49HGsuJiMjg9TUVMflzJkzRfwVEBFxQ/YQ95przK3DzSjEFfEchQ5x69Wrx/79+wHjm9r58+cDRoduWFhYsRbnimJjY0lMTCQ+Pt7sUkREisYNO3GznTpxFeKKyNX47LPP2Lp1K5MmTcr3WFJSEgEBAfm+p42IiCApKcmxxjnAtT9uf+xya1JTUzl//jzHjx8nJyfnomvsr3ExkyZNIjQ01HGJjIws2JsWEfEEGqdQaOnp6WzcuBFQiCviCQod4g4fPpyff/4ZgKeeeoq4uDiCgoIYM2YMjz/+eLEXKCIixcwdO3GdQ9xwhbgiUjQHDx7k0Ucf5dNPPyUoyD2+/jl7+umnSUlJcVwSExPNLklEpPRonEKhbdq0iczMTKpWrUqDBg1KvwD775X9905EropfYZ8wZswYx3GPHj3YtWsXW7ZsoUGDBvk2hhARERfkhp24OadOO4791IkrIkW0ZcsWjh49Sps2bRz35eTksGbNGt566y2+//57MjMzOX36dJ5u3OTkZKpWrQpA1apV2bRpU57XTU5Odjxmv7bf57wmJCSEMmXK4Ovri6+v70XX2F/jYgIDAwkMDHTcTk1NLcS7FxFxcxqnUGjOoxQsFkvpF6BOXJFiVahO3KysLLp3786ePXsc99WuXZv+/fsrwBURcRfu2ImrmbgiUgy6d+/O9u3bSUhIcFzatWvH4MGDHcf+/v4sX77c8Zzdu3dz4MABoqOjAYiOjmb79u0cPXrUsWbZsmWEhIQ4xhtER0fneQ37GvtrBAQE0LZt2zxrrFYry5cvd6wREREnNpvGKRTB6tWrAZNGKYBCXJFiVqhOXH9/f3755ZeSqkVEREpDtlOI6y6duKedZ+KGm1iJiLiz8uXL07x58zz3BQcHU7FiRcf9//znPxk7dizh4eGEhITwyCOPEB0dTceOHQHo1asXkZGR/OMf/+C1114jKSmJZ599ltjYWEeX7IMPPshbb73FE088wYgRI1ixYgXz58/nm2++cZx37NixDB06lHbt2nHttdcybdo00tLSGD58eCn9aoiIuJGUFEhLM47ViVsgmZmZrFu3DoAuXbqYU4Q9xP3rLyOIN6MbWMSDFHom7r333ssHH3xQErWIiEhpyHIap+AunbinUxzHvmGhJlYiIp5u6tSp3HzzzQwYMIDOnTtTtWpVFixY4Hjc19eXxYsX4+vrS3R0NPfeey9DhgxhwoQJjjV169blm2++YdmyZbRq1YrJkyfz/vvvExMT41gzcOBA3njjDcaPH09UVBQJCQksWbIk32ZnIiJC7iiFihWhjHs0IZht8+bNnDt3jkqVKpm3EaY9cE9Ph+PHzalBxIMUeiZudnY2H374IT/88ANt27YlODg4z+NTpkwptuJERKQEuGMnbopTiFu+vImViIinWbVqVZ7bQUFBxMXFERcXd8nn1K5dm2+//fayr9u1a1e2bdt22TWjRo1i1KhRBa5VRMRr2UcpqAu3wOz/vnXu3Bkfn0L37xWPwECoWhWSkuDPP6FyZXPqEPEQhQ5xf/31V8dmEL/99luex0wZlC0iIoXj6MS1gG+AqaUUVM6FzXt8goOx+PubXI2IiIiIlCp7J67m4RaYfR5u165dzS2kTp3cELddO3NrEXFzBQ5xf//9d+rWrcvKlStLsh4RESlp9k5c/zJuM5fKEeKGhphciYiIiIiUOoW4hZKVlcVPP/0EmDgP1652bdiwwQhxReSqFLinvmHDhhw7dsxxe+DAgSQnJ5dIUSIiUoKyzhnXbjIP12azOcYp+IZoHq6IiIiI19E4hULZsmULaWlphIeH59vQs9TVqWNc//GHmVWIeIQCh7g2my3P7W+//ZY0++6QIiLiPrKcOnHdgO38ecjKAsA3VCGuiIiIiNdRJ26huMQ8XDuFuCLFxuS/zSIiUuqyL8zEdZNOXPsoBQDfEI1TEBEREfE6CnELxWXm4YJCXJFiVOAQ12Kx5Nu4TBuZiYi4ITfrxM1JyQ1xNRNXRERExAvZQ1yNU7iirKwsfvzxR8DFQtw//4S/fcJbRAqnwBub2Ww2hg0bRmBgIADp6ek8+OCDBAcH51m3YMGC4q1QRESKj9UKORnGsduEuKcdx5qJKyIiIuJlzpyBU6eM41q1zK3FDWzdupWzZ89SoUIFWrRoYXY5ub9nqalw+jRUqGBqOSLurMAh7tChQ/Pcvvfee4u9GBERKWHZ6bnHbjJOweo8TkEzcUVERES8y8GDxnWFClC+vLm1uAH7PNwuXbqYPw8XoGxZqFIFjh41RiooxBUpsgKHuLNmzSrJOkREpDQ4h7hu04nrHOJqnIKIiIiIV/nzT+NaXbgFYg9xXWKUgl2dOrkhbuvWZlcj4rZc4McyIiJSarLO5x67SSduTkqK41gbm4mIiIh4mQMHjGuFuFfkcvNw7bS5mUixUIgrIuJN3LETNzU3xPXRTFwRERER72IPcWvXNrcON+By83DtnDc3E5EiU4grIuJN3LATVzNxRURERLyYOnELzOXm4drZA3h14opcFRf6Wy0iIiXOHTtxNRNXRERExHspxC0wl5yHCxqnIFJMvDbE3b17N1FRUY5LmTJlWLRokdlliYiULDfsxNVMXBEREREvphC3QDIzM1m7di2gEFfEU/mZXYBZGjduTEJCAgBnz56lTp069OzZ09yiRERKmjt24jqNU/ApX97ESkRERESkVOXkwF9/GccKcS9r06ZNpKWlUalSJdeahwu54xRSUuD0aQgLM7MaEbfltZ24zr766iu6d+9OcHCw2aWIiJSsrHO5x27SiWu90InrExKCxdfX5GpEREREpNQkJUF2Nvj5QdWqZlfj0lasWAFAt27dXGseLkBwMFSubBxrczORInOxv9m51qxZQ79+/ahevToWi+Wiow7i4uKoU6cOQUFBdOjQgU2bNhXpXPPnz2fgwIFXWbGIiBvIcsNO3AshrkYpiIiIiHgZe+BXowboh/mXtXz5cgC6d+9uciWXoM3NRK6ay4a4aWlptGrViri4uIs+Pm/ePMaOHcvzzz/P1q1badWqFTExMRw9etSxJioqiubNm+e7HD582LEmNTWVdevW0adPn8vWk5GRQWpqap6LiIjbyXavmbg2m42cs2cB8AnRKAURERERr6J5uAVy7tw51q9fD8CNN95ocjWXoLm4IlfNZWfi9u7dm969e1/y8SlTpjBy5EiGDx8OwMyZM/nmm2/48MMPeeqppwAcM28v53//+x+9evUiKOjyYcakSZN48cUXC/4GRERckZt14trS042P0AG+5RTiioiIiHgVhbgF8uOPP5KVlUXNmjVp0KCB2eVcnEJckavmsp24l5OZmcmWLVvo0aOH4z4fHx969Ojh+OlTQRV0lMLTTz9NSkqK43Lw4MFC1y0iYjo368TNOXPGcaxNzURERES8jD3EtX8UXy7KeZSCxWIxuZpLsIe4mokrUmQu24l7OcePHycnJ4eIiIg890dERLBr164Cv05KSgqbNm3iyy+/vOLawMBAAgMDC12riIhLcbNOXOuFUQoAvuW0+aSIiIiIV1EnboHYNzVz2VEKoE5ckWLgliFucQkNDSU5OdnsMkRESo9zJ66bhbg+GqcgIiIi4l0U4l7RqVOn2LJlC+DiIa42NhO5am45TqFSpUr4+vrmC2CTk5OpWrVqiZ47Li6OyMhI2rdvX6LnEREpEc6duH6uH+LmHadQzsRKRERERKTUKcS9olWrVmGz2WjcuDHXXHON2eVcmj3EPXUKtFG8SJG4ZYgbEBBA27ZtHXNfAKxWK8uXLyc6OrpEzx0bG0tiYiLx8fEleh4RkRKRpxPX9WfiWs84jVPQTFwRERER73HmjBH4AdSsaW4tLsw+SqF79+4mV3IF5ctDxYrGsebiihSJy45TOHv2LHv37nXc3r9/PwkJCYSHh1OrVi3Gjh3L0KFDadeuHddeey3Tpk0jLS2N4cOHm1i1iIiLy9OJ6wYhbprTOIVgdeKKiIiIeA17F26FCkYAKBflvKmZy6tTB06cMEYqtGhhdjUibsdlQ9zNmzfTrVs3x+2xY8cCMHToUGbPns3AgQM5duwY48ePJykpiaioKJYsWZJvszMREXHiZjNxNU5BRERExEtplMIVHT58mJ07d2KxWOjatavZ5VxZnTqwZYvm4ooUkcuGuF27dsVms112zahRoxg1alQpVSQi4gHcrRNX4xREREREvJNC3CtauXIlAK1btyY8PNzkagqgTh3jWiGuSJG45UxcM2ljMxFxa9lOIa4bdOJazzqNUyinTlwRERERr6EQ94rsoxRuvPFGkyspIPvmZgpxRYpEIW4haWMzEXFrWedyj92gEzfnrNM4BYW4IiIiIt7DHuLagz/Jw2azudc8XMjtxNXGZiJFohBXRMSb2Mcp+AWBxWJuLQWgcQoiIiIiXkqduJf1+++/c+DAAfz8/LjhhhvMLqdgNE5B5KooxBUR8Sb2jc3coAsXwOrciasQV0RERMR7KMS9LHsXbseOHQkODja5mgKyd1WfOAFOGxiLSMEoxBUR8Sb2Tlw3mIcLkHM2zTiwWPApW9bcYkRERESkdOTkwF9/GccKcS9qxYoVgBuNUgAICQH7BmwaqSBSaApxC0kbm4mIW3O3TtwLP6H3CQ7G4qN/skRERES8wpEjkJ0Nfn5QtarZ1bgcq9XqniEuaHMzkaug/xEXkjY2ExG35naduBdCXI1SEBEREfEe9lEKNWqAr6+5tbig7du3c+zYMcqWLUuHDh3MLqdwtLmZSJEpxBUR8RY2m/t14l4Yp+Bbzk3mfImIiIjI1dM83MtaunQpAF27diUgIMDkagpJm5uJFJlCXBERb5GdkXvsBp24tqwsbOeN0NmnnDpxRURERLyGQtzLsoe4vXr1MrmSIlCIK1JkCnFFRLyFvQsX3CLEzTl71nHsU76ciZWIiIiISKlSiHtJ58+fZ+3atYBCXBFvoxC3kLSxmYi4Lfs8XHCLcQpWpxDXV524IiIiIt5DIe4lrV27loyMDGrUqEGTJk3MLqfw7BubaSauSKEpxC0kbWwmIm7LzTpxnUNcn3LqxBURERHxGvYQ1x74iYPzKAWLxWJyNUVg/z09dgzS0sytRcTNKMQVEfEWbtaJm3PmjONY4xREREREvIg6cS/JrefhAoSFGRdQN65IISnEFRHxFu7Wiev0k3lfdeKKiIiIeIczZ+DUKeO4Zk1za3ExR44cYfv27VgsFrp37252OUWnubgiRaIQV0TEW2Q5hbhu0IlrPXfOcexTtqyJlYiIiIhIqbF34VaoAOW1L4KzZcuWAdCmTRsqVapkcjVXQSGuSJEoxBUR8RbO4xTcrBPXJzjYxEpEREREpNRolMIl2UNctx2lYKfNzUSKRCGuiIi3yFYnroiIiIi4OIW4F2W1Wj0nxFUnrkiRKMQtpLi4OCIjI2nfvr3ZpYiIFI46cUVERETE1SnEvajt27eTnJxMcHAw0dHRZpdzdRTiihSJQtxCio2NJTExkfj4eLNLEREpHHXiioiIiIirU4h7UUuXLgWga9euBAYGmlzNVVKIK1IkCnFFRLyFOnFFRERExNXZ56QqxM3DHuK6/SgFyA1xjx6F8+cvu1REcinEFRHxFurEFRERERFXZ+/OtAd9wvnz51m7di3gISFuWBiEhBjH2txMpMAU4oqIeAu368TNDXEtCnFFREREPF9mJhw6ZBwrxHVYu3YtGRkZ1KxZk8aNG5tdTvGoW9e4/v13c+sQcSMKcUVEvIXbdeLmjlPw1TgFEREREc938CBYrRAUBBERZlfjMpxHKVgsFpOrKSb16hnXCnFFCkwhroiIt3DnTtwyrl+viIiIiFwl51EKnhJWFgN7iNuzZ0+TKylG9esb1/v2mVuHiBtRiCsi4i2cO3HdIcS90InrU7YsFh/9cyUiIiLi8fbvN67tH7UXDh8+zPbt27FYLHTv3t3scoqPOnFFCk3/KxYR8RbOnbh+7hDiGp24lmDNwxURERHxCtrULJ8lS5YA0L59eypVqmRyNcVInbgihaYQt5Di4uKIjIykffv2ZpciIlI4eTpx3WAm7oVxCr5lNQ9XRERExCuoEzefb7/9FoA+ffqYXEkxc+7EtdnMrUXETSjELaTY2FgSExOJj483uxQRkcLJ04nrBiGuOnFFREREvIs6cfPIyspi2bJlAPTu3dvkaopZ7drg4wPnz0NSktnViLgFhbgiIt7CuRPXxUNca2YmZGUB6sQVERER8RrqxM1j/fr1pKamUqlSJdq1a2d2OcXL3x9q1TKONRdXpEAU4oqIeAvnTlwX39jMmpbmOFYnroiIiIgXSE+HI0eMY3XiArmjFG666SZ8PHGjX/tIBc3FFSkQD/wqICIiF5V9IcT18QcfX3NruQL7PFwA32B14oqIiIh4vD//NK7LlYOKFc2txUV89913gAeOUrCzb26mTlyRAlGIKyLiLewhrouPUgCwnnPqxC2rTlwRERERj+c8D9diMbMSl/DXX3/xyy+/YLFYiImJMbuckqFOXJFCUYgrIuIt7OMU/N0gxHUap6BOXBEREREvoHm4eSxZsgSADh06UNFTO5PViStSKApxRUS8haMT17Xn4QJYz+WOU1AnroiIiIgXcO7EFcc8XI8dpQDqxBUpJIW4IiLewhHiBppbRwE4h7g+CnFFREREPJ86cR0yMzP54YcfAOjTp4/J1ZQgeyducjI4fRJPRC5OIa6IiLfIds9xCj4apyAiIiLi+dSJ6/DTTz9x5swZqlSpQps2bcwup+SEhUGFCsaxRiqIXJFCXBERb2DNgZxM49jNximoE1dERETEC6gT1+G7774D4KabbsLHx8NjG3s37t695tYh4gY8/KtB8YuLiyMyMpL27dubXYqISMHZu3DBPcYpqBNXRERExHucPQvHjhnH6sT1jnm4dg0bGtcKcUWuSCFuIcXGxpKYmEh8fLzZpYiIFFx2Ru6xvzpxRURERMSF/PmncR0WZly82MGDB9mxYwc+Pj706tXL7HJKnj3E3bPH3DpE3IBCXBERb5B1PvfYz71m4vqqE1dERETEs9lHKagL1zFKoWPHjoSHh5tcTSlo0MC4VogrckUKcUVEvEGecQpuEOI6deJa1IkrIiIi4tk0D9fBq0YpgDpxRQpBIa6IiDdwDnH9XT/EtZ3L7RzWOAURERERD7dvn3Ft3+TKS6Wnp7Ns2TIA+vbta3I1pcQe4h46BE6NHCKSn0JcERFvkOXciesGM3HTc+v1CXL90FlEREREroJCXABWrFjBuXPnqFGjBlFRUWaXUzoqVoQKFYxj+58DEbkohbgiIt4g23kmbqB5dRSQ9bzTxmZlXD90FhEREZGr8PvvxnW9eubWYbKvvvoKgH79+mGxWEyuphRpLq5IgSjEFRHxBnnGKbh+KGo7n1uvRZ24IiIiIp7Las0Ncb24E9dms7F48WLACHG9in2kwt695tYh4uIU4oqIeIMsN9vY7MI4BUtgIBZfX5OrEREREZESc+QIpKeDry/UqmV2NabZtm0bhw4dIjg4mG7dupldTunS5mYiBaIQV0TEG2S7WYh7YZyC5uGKSHGbMWMGLVu2JCQkhJCQEKKjo/nuu+8cj6enpxMbG0vFihUpV64cAwYMIDk5Oc9rHDhwgL59+1K2bFmqVKnC448/TnZ2dp41q1atok2bNgQGBtKgQQNmz56dr5a4uDjq1KlDUFAQHTp0YNOmTSXynkVEXJp9Dmrt2uDvb24tJrKPUujZsydB3vY9sMYpiBSIQlwREW+QZ5yC639TaB+nYNE8XBEpZjVq1ODf//43W7ZsYfPmzdx4443ceuut7NixA4AxY8bw9ddf8/nnn7N69WoOHz5M//79Hc/Pycmhb9++ZGZmsm7dOj766CNmz57N+PHjHWv2799P37596datGwkJCYwePZr77ruP77//3rFm3rx5jB07lueff56tW7fSqlUrYmJiOHr0aOn9YoiIuAJtagbA119/DcAtt9xiciUmUCeuSIEoxBUR8QZZzhubuX4waj1v1KtNzUSkuPXr148+ffrQsGFDGjVqxMSJEylXrhwbNmwgJSWFDz74gClTpnDjjTfStm1bZs2axbp169iwYQMAS5cuJTExkU8++YSoqCh69+7NSy+9RFxcHJmZmQDMnDmTunXrMnnyZJo2bcqoUaO44447mDp1qqOOKVOmMHLkSIYPH05kZCQzZ86kbNmyfPjhh6b8uoiImEabmnHo0CG2bt2KxWKhb9++ZpdT+uwh7uHDkJZmbi0iLkwhroiIN8gzTiHQvDoKyDETt4zrdw2LiPvKycnhs88+Iy0tjejoaLZs2UJWVhY9evRwrGnSpAm1atVi/fr1AKxfv54WLVoQERHhWBMTE0Nqaqqjm3f9+vV5XsO+xv4amZmZbNmyJc8aHx8fevTo4VhzMRkZGaSmpjouZ86cufpfBBERs6kT17GhWYcOHahSpYrJ1ZggPNy4QO6fBxHJRyGuiIg3yDNOwbW7W21ZWZCVBYBPmbImVyMinmj79u2UK1eOwMBAHnzwQRYuXEhkZCRJSUkEBAQQFhaWZ31ERARJSUkAJCUl5Qlw7Y/bH7vcmtTUVM6fP8/x48fJycm56Br7a1zMpEmTCA0NdVwiIyOL9P5FRFyKQlzHPNx+/fqZXImJNBdX5IoU4oqIeIMs99nYzN6FC9rYTERKRuPGjUlISGDjxo089NBDDB06lMTERLPLuqKnn36alJQUx8UdahYRuSIvD3HT0tJYvnw54KXzcO3sIxX27jW3DhEX5md2Ae4mLi6OuLg4cnJyzC5FRKTgst0oxD2fO79X4xREpCQEBATQ4ELHT9u2bYmPj2f69OkMHDiQzMxMTp8+nacbNzk5mapVqwJQtWpVNm3alOf1kpOTHY/Zr+33Oa8JCQmhTJky+Pr64uvre9E19te4mMDAQAIDc0fipKamFvKdi4i4mJQUOHHCOPbSmbg//PADGRkZ1KlTh2bNmpldjnm0uZnIFakTt5BiY2NJTEwkPj7e7FJERAouzzgF1w5GbU4hrsYpiEhpsFqtZGRk0LZtW/z9/R0dUQC7d+/mwIEDREdHAxAdHc327ds5evSoY82yZcsICQlxjDeIjo7O8xr2NfbXCAgIoG3btnnWWK1Wli9f7lgjIuIV7JuaVa4M5cubW4tJnEcpWCwWk6sxkcYpiFyROnFFRLxBnnEKrj0TV+MURKQkPf300/Tu3ZtatWpx5swZ5syZw6pVq/j+++8JDQ3ln//8J2PHjiU8PJyQkBAeeeQRoqOj6dixIwC9evUiMjKSf/zjH7z22mskJSXx7LPPEhsb6+iSffDBB3nrrbd44oknGDFiBCtWrGD+/Pl88803jjrGjh3L0KFDadeuHddeey3Tpk0jLS2N4cOHm/LrIiJiCi8fpZCTk+P4t8GrRymAOnFFCkAhroiIN8jO7W7FL/DS61yA9dw5x7FPWdcOnEXE/Rw9epQhQ4Zw5MgRQkNDadmyJd9//z09e/YEYOrUqfj4+DBgwAAyMjKIiYnh7bffdjzf19eXxYsX89BDDxEdHU1wcDBDhw5lwoQJjjV169blm2++YcyYMUyfPp0aNWrw/vvvExMT41gzcOBAjh07xvjx40lKSiIqKoolS5bk2+xMRMSjeXmIu2HDBpKTkwkNDaVz585ml2Mue4h75AikpUFwsLn1iLgghbgiIt4gOyP32N+1g1GbUyeuJci1axUR9/PBBx9c9vGgoCDHHgiXUrt2bb799tvLvk7Xrl3Ztm3bZdeMGjWKUaNGXXaNiIhH8/IQd8GCBQDcfPPNBAQEmFyNySpUgIoVjRnJe/dCq1ZmVyTicjQTV0TEG2Q5d+K69ogCa56ZuK5dq4iIiIhcBftMXC8McW02GwsXLgSgf//+JlfjIjQXV+SyFOKKiHgD543N3CrEVSeuiIiIiMeyd+LWq2duHSb4+eef2b9/P0FBQXnG7Xg1+0iFvXvNrUPERSnEFRHxBo4Q1+LyM3E1TkFERETEC2RmwoEDxrEXduLaRyncdNNNBGv+q0Gbm4lclkJcERFvkHUhGPULAovF3FquwHrOqRNXG5uJiIiIeKY//gCrFcqWhapVza6m1NlHKdx+++0mV+JCNE5B5LIU4oqIeIPsC8Goi3fhAljTc0NcS5Brj34QERERkSKyB3UNG7p8k0Fx27NnD7/++it+fn7cfPPNZpfjOtSJK3JZCnFFRLxBdoZx7e/6na0255m4GqcgIiIi4pl++824btTI3DpMYO/C7datG+Hh4SZX40LsIW5SEpw9a24tIi5IIa6IiDfIsnfiun5nq/V87kxcjVMQERER8VDOnbhexj4PV6MU/iYsDCpVMo61uZlIPgpxRUS8QbbTTFwXZz1/znGscQoiIiIiHspLO3EPHTrExo0bsVgs3HbbbWaX43o0F1fkkhTiioh4OpstN8T1d/1Q1ObciVumrImViIiIiEiJ8dIQd9GiRQB07NiRatWqmVuMK7J3ZqsTVyQfhbgiIp4uJwtsVuPYz/XHE1jTnUNc1w+dRURERKSQzp2DgweNYy8bp2Cfh9u/f3+TK3FR2txM5JIU4oqIeLrs3I3C8As0r44C0jgFEREREQ+3b59xXaECVKxobi2l6MSJE6xatQrQPNxL0jgFkUtSiCsi4umyM3KP/V2/EzfPOIWyGqcgIiIi4nGcRylYLObWUoq+/vprcnJyaNmyJfXr1ze7HNekcQoil6QQV0TE02U5d+K6fmer9fyFei0WLAEB5hYjIiIiIsXPHuJ62SiFL774AtAohcuy/5lISoIzZ8ytRcTFKMQVEfF0zp247hDiphshrk+ZMli8qDNDRERExGvYPyrvRZuanTp1iqVLlwJw1113mVyNCwsNhcqVjWN144rk4Wd2AZ4uJyeHrKwss8uQy/D398fX19fsMkRKjvNMXH/XD3Ft54x6LWVcf/SDiIiIiBSB8zgFL7Fo0SKysrJo0aIFTZs2Nbsc19agARw7ZoT9rVubXY2Iy/DqEHfq1Km8//772Gw2evTowfTp04ut68tms5GUlMTp06eL5fWkZIWFhVG1alV1/YlnysqdMYuf6wej1nSjXh+FuCIiIiKeyQvHKcyfPx9QF26BNGwI69erE1fkb7w2xD127BhvvfUWO3bswN/fn86dO7Nhwwaio6OL5fXtAW6VKlUoW7aswkEXZbPZOHfuHEePHgWgWrVqJlckUgKynUPcQPPqKKDcENf1u4ZFREREpJBOnza6LMFrQtwTJ07www8/AHDnnXeaXI0bsHdo79plbh0iLsZrQ1yA7Oxs0i+EBVlZWVSpUqVYXjcnJ8cR4FasWLFYXlNKTpkL3X5Hjx6lSpUqGq0gnsc5xPV37e5Wm82G7cLGZpYg165VRERERIrAPg+3WjUoX97cWkrJokWLyM7OplWrVjRu3NjsclxfZKRxvXOnuXWIuBiX3dhszZo19OvXj+rVq2OxWFi0aFG+NXFxcdSpU4egoCA6dOjApk2bCvz6lStX5rHHHqNWrVpUr16dHj16UL9+/WKp3T4Dt2zZssXyelLy7L9Xml8sHinLaSaui29sZsvKApsNAJ9A1+8aFhEREZFC8sJRCvPmzQM0SqHAnENcq9XcWkRciMuGuGlpabRq1Yq4uLiLPj5v3jzGjh3L888/z9atW2nVqhUxMTGOj8UDREVF0bx583yXw4cPc+rUKRYvXswff/zBoUOHWLduHWvWrCnW96ARCu5Dv1fi0bIzco9dPcRNz+0atgS5dq0iIiIiUgT2Tlwv2dTs2LFjrFixAlCIW2D164O/P6SlwcGDZlcj4jJcdpxC79696d279yUfnzJlCiNHjmT48OEAzJw5k2+++YYPP/yQp556CoCEhIRLPv/zzz+nQYMGhIeHA9C3b182bNhA586dL7o+IyODjIzcICQ1NbWwb0lExBzZTp24/q4djFqdQ1x14oqIiIh4HnsnrpeEuAsXLiQnJ4c2bdrQoEEDs8txD35+0Lgx/PorJCZC7dpmVyTiEly2E/dyMjMz2bJlCz169HDc5+PjQ48ePVi/fn2BXqNmzZqsW7eO9PR0cnJyWLVq1WVn00yaNInQ0FDHpWbNmlf9PkRESkWW88Zmrj1n1paZ6TjWOAURERERD+Rl4xTmz58PqAu30OwjFRITza1DXM8LL4DFkvfSpEnu4+npEBsLFStCuXIwYAAkJ+d9jQMHoG9fKFsWqlSBxx+H7OxSfRtF4ZYh7vHjx8nJySEiIiLP/RERESQlJRXoNTp27EifPn1o3bo1LVu2pH79+txyyy2XXP/000+TkpLiuBxUS7+IuAvnjc38XDsYtakTV0RERMRz2Wy54xS8IMQ9evQoK1euBODOO+80uRo3oxBXLqdZMzhyJPfy44+5j40ZA19/DZ9/DqtXw+HD0L9/7uM5OUaAm5kJ69bBRx/B7Nkwfnypv43CcssQt7hMnDiRnTt3smPHDt58883LzkUNDAwkJCQkz8VTJSUl8cgjj1CvXj0CAwOpWbMm/fr1Y/ny5Y4169ato0+fPlSoUIGgoCBatGjBlClTyMnJMbFyEbko5xDX37U7ca1OY2ssQQpxRURERDzKkSOQmgq+vuAFowW+/PJLrFYr7dq1o169emaX414U4srl+PlB1aq5l0qVjPtTUuCDD2DKFLjxRmjbFmbNMsLaDRuMNUuXGn+uPvkEoqKgd2946SWIizOCXRfmliFupUqV8PX1Jflv7dDJyclUrVrVpKo8wx9//EHbtm1ZsWIFr7/+Otu3b2fJkiV069aN2NhYwJjp06VLF2rUqMHKlSvZtWsXjz76KC+//DKDBg3CdmFneRFxEVlOM3FdfWMzpxDXJ0AhroiIiIhHsQdy9euDF3zq6tNPPwVg0KBBJlfihpxDXGUM3uHMGeOHPPaL0/8N89mzB6pXh3r1YPBgYzwCwJYtkJUFTuNXadIEatUC+/jV9euhRQtw/nR/TIxxzh07iv99FSOX3djscgICAmjbti3Lly/ntttuA8BqtbJ8+XJGjRpVoueOi4sjLi7OYztOH374YSwWC5s2bSI4ONhxf7NmzRgxYgRpaWmMHDmSW265hXfffdfx+H333UdERAS33HIL8+fPZ+DAgWaULyIXk+30j58bhbiWINeuVUREREQKyR7i2gM6D/bHH3/w008/YbFYFOIWRcOGRsd2aiocOgQ1aphdkZSwkL9/XXj+eWP+7d916GCMP2jc2Ojuf/FFuOEGYyO8pCQICICwsLzPiYgwHgPj+m/jWR23Czii1SwuG+KePXuWvXv3Om7v37+fhIQEwsPDqVWrFmPHjmXo0KG0a9eOa6+9lmnTppGWlsbw4cNLtK7Y2FhiY2NJTU0lNDS0wM/r958fOXbmMj9FKCGVywfy9SPXF2jtyZMnWbJkCRMnTswT4NqFhYWxcOFCTpw4wWOPPZbv8X79+tGoUSPmzp2rEFfElWQ7deL6u3YwanWaieujcQoiIiIinmXnTuPaC0LcOXPmANCtWzeuueYak6txQwEBRpC7a5cR/ivE9XipiYmEOP9duVS3fu/eucctWxqhbu3aMH8+lHHt8YFXy2VD3M2bN9OtWzfH7bFjxwIwdOhQZs+ezcCBAzl27Bjjx48nKSmJqKgolixZkm+zM1dx7EwGSanpV15oor1792Kz2WjivKvf3/x2YSfRpk2bXvTxJk2aONaIiIvIct7YzLX/UbNl5M4gsmicgoiIiIhnsXfiXuL/k57CZrM5RikMHjzY5GrcWGRkbojbq5fZ1UhJK18eirL/VFgYNGoEe/dCz57GXNvTp/N24yYnG7NzwbjetCnva9jHtbr4iFaXDXG7du16xdmqo0aNKvHxCcWlcnlzwojCnLcws2w191bEjThvbObn2sGoLSO3Vm1sJiIiIuJhvGScws8//0xiYiKBgYEMGDDA7HLcV2QkLFigzc3k8s6ehX374B//MDYy8/eH5cvB/ndv925jZm50tHE7OhomToSjR6FKFeO+ZcuMANnFvza5bIjrqoo6E7egIw3M1LBhQywWC7t27brkmkaNGgGwc+dOrrvuunyP79y5k0gX/0Mv4nWcQ1x/1+7EtaY7bWzmBZtdiIiIiHiNY8fg+HGwWIyNhjyYvQv35ptvLtQYRvkb583NROweewz69TNGKBw+bMzO9fWFu++G0FD45z9h7FgIDzeC2UceMYLbjh2N5/fqZfzZ+sc/4LXXjDm4zz4LsbEuv+Gij9kFuJvY2FgSExOJj483u5RiFx4eTkxMDHFxcaSlpeV7/PTp0/Tq1Yvw8HAmT56c7/GvvvqKPXv2cPfdd5dGuSJSUFlOM3HdaWOzQNeuVUREREQKwT4Pt3ZtKFvW3FpKUE5ODnPnzgU0SuGqOYe4+jSw2P31lxHYNm4Md90FFSvChg1QubLx+NSpcPPNRidu587GiIQFC3Kf7+sLixcb19HRcO+9MGQITJhgzvspBHXiSh5xcXF06tSJa6+9lgkTJtCyZUuys7NZtmwZM2bMYOfOnbzzzjsMGjSI+++/n1GjRhESEsLy5ct5/PHHueOOO7jrrrvMfhsi4izbaVNFFw9xrRqnICIiIuKZvGSUwpo1azh06BBhYWH06dPH7HLcW6NG4OMDp07lnWkq3u2zzy7/eFAQxMUZl0upXRu+/bZ46yoF6sSVPOrVq8fWrVvp1q0b48aNo3nz5vTs2ZPly5czY8YMAO644w5WrlzJgQMHuOGGG2jcuDFTp07lmWee4bPPPsNisZj8LkQkj+wLnbg+fuDr2j+7c97YTOMURERERDyIvRPXwzc1s49SuOOOOwjU97NXp0wZqFfPONZIBRF14kp+1apV46233uKtt9665JobbriBJUuWlGJVIlJkWRe6W/1cex4u/G1jM41TEBEREfEcXtCJm56ezhdffAFolEKxiYyEvXuNPz833mh2NSKmUiduIcXFxREZGUn79u3NLkVEpGDsG5v5uX4ngDXDeWOzABMrEREREZFi5QUh7rfffktKSgo1atSgc+fOZpfjGbS5mYiDQtxC8uSNzUTEQ9lDXH836MRNd9rYLEiduCIiIiIeISXF2EUePHqcwieffALA3XffjY+P4pZioRBXxEFfVUREPJ1jnILrh6I2p05ci2aIiYiIiHgG+zzc6tUhNNTcWkrIsWPH+PrrrwEYMmSIydV4EIW4Ig4KcUVEPF22+4S4eccpKMQVERER8QheMErh008/JTs7m3bt2tG8eXOzy/EcTZoY18eOGRcRL6YQV0TEk1mtkHMhGPV3/RDXlu60sZnGKYiIiIh4BnsnroeOUrDZbHz44YcAjBgxwuRqPExwMNSpYxzb/xyJeCmFuCIiniw7NxR1h05cW6bTOIUAdeKKiIiIeAQP78TdunUr27dvJzAwkEGDBpldjufRSAURQCFuocXFxREZGUn79u3NLkVE5MrcLMS1Om1s5hOkEFdERETEI3h4iDtr1iwAbr/9dipUqGByNR5IIa4IoBC30GJjY0lMTCQ+Pt7sUkRErsw5xHWHcQr2mbi+vlj8/MwtRkRERESuXloa/PmnceyB4xTS09OZM2cOAMOHDze5Gg+lEFcEUIgrIuLZss7nHvuVMa+OArJmGKGzNjUTERER8RA7doDNBhERULmy2dUUu//973+cOnWKGjVq0L17d7PL8UwKcUUAhbgiIp4tO3c8AX6uH4zaMjIBbWomIiIi4jF++cW4btnS3DpKiH2UwrBhw/D19TW5Gg9l7+A+cgROnTK3FhETKcSVPIYNG8Ztt92W7/5Vq1ZhsVg4ffo0q1at4tZbb6VatWoEBwcTFRXFp59+mu85J0+eZPTo0dSuXZuAgACqV6/OiBEjOHDgQCm8ExEBINupE9ff9TtxbelGJ65FnbgiIiIinsGDQ9y//vqLpUuXAsb/paWEhIRAjRrG8c6d5tYiYiKFuFJo69ato2XLlnz55Zf88ssvDB8+nCFDhrB48WLHmpMnT9KxY0d++OEHZs6cyd69e/nss8/Yu3cv7du35/fffzfxHYh4kTyduK7f3WrNNDpxNU5BRERExEN4cIj73//+F5vNRufOnalfv77Z5Xg2jVQQQbvGSKH93//9X57bjz76KEuXLmXBggXcfPPNADzzzDMcPnyYvXv3UrVqVQBq1arF999/T8OGDYmNjeW7774r9dpFvE6embiuH+KqE1dERETEg9hsHhvi2mw2xygFbWhWCiIjYelShbji1RTiFlJcXBxxcXHk5OQU7onvdIGzR0umqMspVwUeWF3ip0lJSaHphTk1VquVzz77jMGDBzsCXLsyZcrw8MMP8+yzz3Ly5EnCw8NLvDYRr5adnnvs79ohrs1mw5ZhdA5bghTiioiIiLi9Q4eMGaa+vrlzTT3E2rVr2bt3L8HBwdxxxx1ml+P51IkrohC3sGJjY4mNjSU1NZXQ0NCCP/HsUThzuOQKK0aLFy+mXLlyee67XGg9f/584uPjeeeddwA4duwYp0+fdoS6f9e0aVNsNht79+7l2muvLb7CRSQ/5xDXz7Vn4toujFIA8Al07cBZRERERArA3oXbpAl42Cet7P//vfvuu/P9/1lKgD3E/fVXc+sQMZFC3NJSrorbnLdbt27MmDEjz30bN27k3nvvzbd25cqVDB8+nPfee49mzZrlecxmsxX63CJSzLKcQ1zX/sbZPkoBNE5BRERExCN46CiFY8eO8cUXXwDw4IMPmlyNl2jRwrg+dAiOH4dKlcytR8QECnFLSymMNCguwcHBNGjQIM99f/31V751q1evpl+/fkydOpUhQ4Y47q9cuTJhYWHsvMSukTt37sRiseQ7h4iUgGynmbj+rt2Ja83I3YTNR+MURERERNyfh4a4s2fPJjMzk3bt2tG2bVuzy/EOISFQvz7s2wfbtkHPnmZXJFLqfMwuQNzTqlWr6Nu3L6+++ir3339/nsd8fHy46667mDNnDklJSXkeO3/+PG+//TYxMTGahytSGrJzg1FX39jM5hTiWgIU4oqIiIi4PQ8Mca1WK++++y6gLtxS16aNcb1tm7l1iJhEIa4U2sqVK+nbty//+te/GDBgAElJSSQlJXHy5EnHmldeeYWqVavSs2dPvvvuOw4ePMiaNWuIiYkhKyuLuLg4E9+BiBfJcurEdacQV524IiIiIu4tIwN27TKOPSjEXbFiBXv37iUkJIRBgwaZXY53ad3auN661dw6REyiEFcK7aOPPuLcuXNMmjSJatWqOS79+/d3rKlYsSIbNmygW7duPPDAA9SvX5+77rqL+vXrEx8fT7169Ux8ByJexHljM3/XDnGt6U7jFDQTV0RERMS97dwJOTlQoQJcc43Z1RSbmTNnAvCPf/yD4OBgk6vxMvYQV5244qU0E1fymD179kXv79q1q2OjstmzZ19ynbNKlSrx5ptv8uabbxZjhSJSKM4hrp9rz8S1ZTp14ga6duAsIiIiIlfgPErBYjG3lmJy5MgRFi1aBMADDzxgbjHeyB7i7tkDZ85A+fLm1iNSytSJW0hxcXFERkbSvn17s0sREbmyLOcQ17W7W23pubVqnIKIiIiIm7OHuC1amFtHMfrwww/JycmhU6dOtPCg9+U2IiKgenWw2eDnn82uRqTUKcQtpNjYWBITE4mPjze7FBGRK8t2monr79qduBqnICIiIuJBPGxTs+zsbG1o5go0UkG8mEJcERFPlp0bjLr8xmYapyAiIiLiOTwsxP366685cOAAFStW5I477jC7HO/Vpo1xrRBXvJBCXBERT5bl1Inr4iGu1XmcQmCAiZWIiIiIyFU5ehSSk41ZuM2amV1NsbDv9XL//fcTFOTa31d7NHsn7tat5tYhYgKFuCIinsx5YzN/1/5m05aR6Tj2USeuiIiIiPtKSDCu69eHcuVMLaU4/PLLL6xatQpfX18eeughs8vxbvYQd8cOyMi4/FoRD6MQV0TEk2Weyz32L2teHQVgy3Aep6CZuCIiIiJua8sW47pdO3PrKCZvvfUWAP3796dmzZomV+PlateGChUgO9sIckW8iEJcERFPlpFqXPsGgp9rB6O2rNxOXEuAv4mViIiIiMhV2bzZuPaAEPfEiRN88sknAPzrX/8yuRrBYtFIBfFaCnFFRDxZ+oUQNyjU3DoKwJbpFOL6K8QVERERcVvx8ca1B4S4H3zwAefPn6d169Z06tTJ7HIEckNcbW4mXkYhroiIJ0tPMa6DQsytowCsziFugDY2ExEREXFLyclw8GDejkk3lZ2dTVxcHACPPPIIFovF5IoEgDZtjGuFuOJlFOKKiHgqqzV3nIIbdOKSleU49FGIKyIiIuKe7PNwGzeGENdvJLicr776igMHDlCpUiXuvvtus8sRO/sPB37+GXJyzK1FpBQpxJV8kpKSeOSRR6hXrx6BgYHUrFmTfv36sXz5cgDq1KnDtGnT8j3vhRdeICoqynF7wYIFtGvXjrCwMIKDg4mKiuLjjz/O97wdO3Zw1113UblyZQIDA2nUqBHjx4/n3LlzedYV9LwickHmGcBmHAe6/jfQ6sQVERER8QAeNA/3zTffBOD+++8nKCjI5GrEoVEjKFsWzp2D334zuxqRUqMQt5Di4uKIjIykffv2ZpdSIv744w/atm3LihUreP3119m+fTtLliyhW7duxMbGFuq1wsPDeeaZZ1i/fj2//PILw4cPZ/jw4Xz//feONRs2bKBDhw5kZmbyzTff8NtvvzFx4kRmz55Nz549yXQKdUSkkOzzcMEtOnE1E1dERETEA3hIiLt582ZWr16Nn58fDz30kNnliDNfX2jVyjjWSAXxIn5mF+BuYmNjiY2NJTU1ldBQ1w9FCuvhhx/GYrGwadMmgoODHfc3a9aMESNGFOq1unbtmuf2o48+ykcffcSPP/5ITEwMNpuNf/7znzRt2pQFCxbg42P8TKF27do0atSI1q1bM3XqVJ588smrfl8iXsk+DxfcYiauLTN3nII6cUVERETclIeEuG+88QYAgwYNokaNGiZXI/m0bg3r1xsh7j33mF2NSKlQiFtKBi4eyPHzx0v9vJXKVGLezfMKtPbkyZMsWbKEiRMn5glw7cLCwopch81mY8WKFezevZtXX30VgISEBBITE5kzZ44jwLVr1aoVPXr0YO7cuQpxRYoqw806cbMU4oqIiIi4tcOH4cgR8PEBNx55t3//fj7//HMAHnvsMZOrkYuyb262dau5dYiUIoW4peT4+eMcPXfU7DIua+/evdhsNpo0aXLFtU8++STPPvtsnvsyMzOJjIzMc19KSgrXXHMNGRkZ+Pr68vbbb9OzZ08Afrswu6Zp06YXPUfTpk358ccfi3ReESFvJ26gG4S4mokrIiIi4t7sXbiRkXCRxiB3MW3aNKxWKz179qSV/WP74lrsm5tt2wY2G1gs5tYjUgoU4paSSmUqufx5bTZbgdc+/vjjDBs2LM99b775JmvWrMlzX/ny5UlISODs2bMsX76csWPHUq9evTyjFkrivCKCZuKKiIiISOnygFEKJ0+e5P333weM/3+Ki2rWDPz84NQpOHAAatc2uyKREqcQt5QUdKSBmRo2bIjFYmHXrl1XXFupUiUaNGiQ577w8PB863x8fBzroqKi2LlzJ5MmTaJr1640atQIgJ07d9La/lM0Jzt37nSsKex5RQQ3nImrTlwRERERt2YPcd14I/AZM2Zw7tw5x4g/cVGBgdC8OSQkGCMVFOKKF/C58hLxFuHh4cTExBAXF0daWlq+x0+fPn3V57BarWRkZABGqNukSROmTp2K1WrNs+7nn3/mhx9+4O67777qc4p4rQznENcNOnE1E1dERETEfdlsbt+Jm5aWxrRp0wBjFq5FH9F3bc4jFUS8gEJcySMuLo6cnByuvfZavvzyS/bs2cPOnTt58803iY6OLtRrTZo0iWXLlvH777+zc+dOJk+ezMcff8y9994LgMVi4YMPPiAxMZEBAwawadMmDhw4wOeff06/fv2Ijo5m9OjRJfAuRbxEnpm4btaJq3EKIiIiIu7l4EE4dsz4iHvLlmZXUyTvvfcex48fp27dugwaNMjscuRKFOKKl1GIK3nUq1ePrVu30q1bN8aNG0fz5s3p2bMny5cvZ8aMGYV6rbS0NB5++GGaNWtGp06d+PLLL/nkk0+47777HGuuu+46NmzYgK+vL71796ZBgwY8/fTTDB06lGXLlhEYGFjcb1HEe7jrTFw/Pyw++udJRErGpEmTaN++PeXLl6dKlSrcdttt7N69O8+a9PR0YmNjqVixIuXKlWPAgAEkJyfnWXPgwAH69u1L2bJlqVKlCo8//jjZ2dl51qxatYo2bdoQGBhIgwYNmD17dr564uLiqFOnDkFBQXTo0IFNmzYV+3sWESkV9i7cFi0gKMjcWoogPT2d119/HYCnn34aPz9Nn3R5bdoY11u3mluHSCmx2Aqzq5Q4pKamEhoaSkpKCiEheTvc0tPT2b9/P3Xr1iXIDf/x8kb6PROPNH8oJC4yjkdvh7BappZzJb/360fGnr1YypalydYtZpcj4hUu9/2Mp7rpppsYNGgQ7du3Jzs7m//7v//j119/JTExkeALO6k/9NBDfPPNN8yePZvQ0FBGjRqFj48PP/30EwA5OTlERUVRtWpVXn/9dY4cOcKQIUMYOXIkr7zyCgD79++nefPmPPjgg9x3330sX76c0aNH88033xATEwPAvHnzGDJkCDNnzqRDhw5MmzaNzz//nN27d1OlSpUrvpe//vqLmjVrcvDgQWrUqFFCv2IiIgX0f/8HkybByJHw7rtmV1NoM2fO5KGHHqJGjRrs3btXDUXu4OxZCAkxRnkkJ0MB/u0U16PvZwpOrU4iIp4qw906cY2ZuD4apSAiJWjJkiUMGzaMZs2a0apVK2bPns2BAwfYssX44VFKSgoffPABU6ZM4cYbb6Rt27bMmjWLdevWsWHDBgCWLl1KYmIin3zyCVFRUfTu3ZuXXnqJuLg4Mi98qmDmzJnUrVuXyZMn07RpU0aNGsUdd9zB1KlTHbVMmTKFkSNHMnz4cCIjI5k5cyZly5blww8/LP1fGBGRq7V+vXHthpuaZWVl8eqrrwLw+OOPK8B1F+XKgX0z9Ph4c2sRKQUKcUVEPJVjJq4FAsqbWkpBWLOM4EObmolIaUpJMb5WhoeHA7BlyxaysrLy7EjepEkTatWqxfoLAcX69etp0aIFERERjjUxMTGkpqayY8cOx5q/72oeExPjeI3MzEy2bNmSZ42Pjw89evRwrPm7jIwMUlNTHZczZ85c7dsXESkemZmwcaNxfMMN5tZSBHPmzOGPP/6gSpUqecb/iRu47jrj+sKnZUQ8mUJcERFPZZ+JGxgCbjBj1t6Jq03NRKS0WK1WRo8eTadOnWjevDkASUlJBAQEEBYWlmdtREQESUlJjjXOAa79cftjl1uTmprK+fPnOX78ODk5ORddY3+Nv5s0aRKhoaGOS2RkZNHeuIhIcdu2Dc6fh4oVoXFjs6splJycHMconHHjxlG2bFmTK5JC6dTJuP7xR3PrECkFrv+/ehERKRp7J26Qe8y5tG9spk5cESktsbGx/Prrr3z22Wdml1IgTz/9NCkpKY5LYmKi2SWJiBjsAdr114PFYm4thfTFF1/w22+/UaFCBR566CGzy5HCuv564zo+HjIyzK1FpIQpxBUR8VT2mbhuMA8XwJZ1oRNXIa6IlIJRo0axePFiVq5cmWcTjapVq5KZmcnp06fzrE9OTqZq1aqONcnJyfketz92uTUhISGUKVOGSpUq4evre9E19tf4u8DAQEJCQhyX8uVdf1SOiHgJ5xDXjVitVl5++WUARo8era+r7qhRI6hUCdLTYetWs6sRKVEKcQspLi6OyMhI2rvhsHYR8SLZGZCdbhwHqhNXRMTOZrMxatQoFi5cyIoVK6hbt26ex9u2bYu/vz/Lly933Ld7924OHDhAdHQ0ANHR0Wzfvp2jR4861ixbtoyQkBDHiIPo6Og8r2FfY3+NgIAA2rZtm2eN1Wpl+fLljjUiIm7BZnPbEHfhwoX8+uuvlC9fnkceecTscqQoLBaNVBCvoRC3kGJjY0lMTCReOx+KiCuzz8MFt+jEteXkQE4OoJm4IlKyYmNj+eSTT5gzZw7ly5cnKSmJpKQkzp8/D0BoaCj//Oc/GTt2LCtXrmTLli0MHz6c6OhoOnbsCECvXr2IjIzkH//4Bz///DPff/89zz77LLGxsY4dzR988EF+//13nnjiCXbt2sXbb7/N/PnzGTNmjKOWsWPH8t577/HRRx+xc+dOHnroIdLS0hg+fHjp/8KIiBTVb7/B8eMQFARt2phdTYHl5OTw3HPPAUYXboUKFUyuSIrM/sMDbW4mHs7P7AJERKQE2OfhglvMxLV34YI6cUWkZM2YMQOArl275rl/1qxZDBs2DICpU6fi4+PDgAEDyMjIICYmhrffftux1tfXl8WLF/PQQw8RHR1NcHAwQ4cOZcKECY41devW5ZtvvmHMmDFMnz6dGjVq8P777xMTE+NYM3DgQI4dO8b48eNJSkoiKiqKJUuW5NvsTETEpdm7H6+9Ftzo+7hPP/2UnTt3UqFCBcaNG2d2OXI17CHujz8aneFuNpdZpKAU4oqIeKIM5xDXDTpxL8zDBYW4IlKybDbbFdcEBQURFxdHXFzcJdfUrl2bb7/99rKv07VrV7Zt23bZNaNGjWLUqFFXrElExGW54SiFzMxMXnjhBQCefPJJQkNd//tluYw2bYxO8BMnYPduaNLE7IpESoTGKYiIeCLnTlw3mImrTlwRERERN+WGIe4HH3zA/v37qVq1qn6Q5gkCAoxOcNBIBfFoCnElj2HDhmGxWPj3v/+d5/5FixZhufCRhFWrVmGxWPLt2gxQp04dpk2b5rj9wAMPUL9+fcqUKUPlypW59dZb2bVrV0m+BREB95uJ6xziaiauiIiIiHtISoK9e42Pr7vJpoznz5/npZdeAuCZZ54hODjY5IqkWDiPVBDxUApxJZ+goCBeffVVTp06ddWv1bZtW2bNmsXOnTv5/vvvsdls9OrVi5wLGxiJSAlx65m4CnFFRERE3IK967FFCwgLM7WUgvrPf/7DkSNHqF27NiNHjjS7HCkuCnHFCyjElXx69OhB1apVmTRp0lW/1v3330/nzp2pU6cObdq04eWXX+bgwYP88ccfV1+oiFxahpt14momroiIiIj7cbNRCsePH+eVV14BYMKECQQGBppckRSb6GijI3zvXkhONrsakRKhjc1Kyf4Bd5B9/Hipn9evUiXqfvlFoZ7j6+vLK6+8wj333MO//vUvatSoUSy1pKWlMWvWLOrWrUvNmjWL5TVF5BLcbCauVeMURERERNyPm4W4L730EikpKURFRXHvvfeaXY4Up7AwaN4ctm83OsT79ze7IpFipxC3lGQfP062G/006PbbbycqKornn3+eDz744KJrLhbunjt3Lt99b7/9Nk888QRpaWk0btyYZcuWEaBOO5GSlWcmbphpZRSU8zgFH319EBEREXF9Z8/Ctm3GsRuEuHv37uXtt98G4PXXX8fHRx9M9jjXX2+EuD/+qBBXPJJC3FLiV6mS25331Vdf5cYbb+Sxxx676ONr166lfPnyee7r2rVrvnWDBw+mZ8+eHDlyhDfeeIO77rqLn376iaCgoCLXJiJX4HYzcTVOQURERMSt/PQT5ORArVrgBp+0fPrpp8nOzuamm26iR48eZpcjJaFTJ5gxI3dWs4iHUYhbSgo70sAVdO7cmZiYGJ5++mmGDRuW7/G6desS9rfh9X5++f9IhYaGEhoaSsOGDenYsSMVKlRg4cKF3H333SVUuYi49Uxcf4W4IiIiIi5v6VLj2g0C0fXr1/PFF1/g4+PDa6+9ZnY5UlLsHeFbt0JaGgQHm1uPSDHT5wfksv7973/z9ddfs379+mJ5PZvNhs1mIyMjo1heT0Quwc1m4jqPU7AEaCauiIiIiMv7/nvjOibG3DquwGq1Mm7cOACGDRtGixYtTK5ISkytWlCjBmRnw6ZNZlcjUuwU4spltWjRgsGDB/Pmm28W+rm///47kyZNYsuWLRw4cIB169Zx5513UqZMGfr06VMC1YqIg30mrm8g+Lv+6JI8Ia46cUVERERc219/wY4dYLG4fCfuJ598wvr16wkODuall14yuxwpSRZLbjeuRiqIB1KIK1c0YcIErFZroZ8XFBTE2rVr6dOnDw0aNGDgwIGUL1+edevWUaVKlRKoVEQc7J24bjAPF8CW5dyJqxBXRERExKUtW2Zct28P4eHm1nIZqampPPHEEwA899xzVK9e3eSKpMR16mRc//ijuXWIlADNxJU8Zs+ene++OnXq5Bl/0LVrV2w220Wf/8cffziOq1evzrffflvcJYpIQWTYQ1zXn4cL2thMRERExK24ySiFCRMmkJycTMOGDRk9erTZ5UhpsHfirltnbLzn62tuPSLFSJ24IiKexmrNHafgBvNw4W+duP6aiSsiIiLisnJycjtxXTjE3blzJ9OnTwdg+vTpBAYGmlyRlIoWLaB8eThzBrZvN7sakWKlEFdExNNkngUudMu7TSeuximIiIiIuIWtW+HkSQgJgWuvNbuai7LZbDz66KNkZ2fTr18/evfubXZJUlp8fSE62jjWXFzxMApxRUQ8jX0eLrjPTNw8Ia46cUVERERcln2UQvfu4KKfoFqwYAHLli0jMDCQqVOnml2OlLYbbjCuly83tw6RYqYQV0TE02Sk5h67SydulmbiioiIiLgFF5+He/r0aUaNGgXA448/Tv369U2uSErdTTcZ1z/8AE7NIiLuTiGuiIince7EdZOZuNZMzcQVERERcXmpqbB+vXHcq5e5tVzCE088QVJSEo0bN+aZZ54xuxwxQ5s2UKWKMRf3xx/Nrkak2Hh1iPvGG2/QrFkzmjdvzieffGJ2OSIixSPduRM3zLQyCsN5nIKPOnFFREREXNOKFcbGZg0bQt26ZleTz+rVq3nvvfcAePfddwkKCjK5IjGFjw/Y5yB/+625tYgUI68Ncbdv386cOXPYsmUL8fHxvPXWW5w+fdrsskRErp5bzsTVOAURERERl7d0qXHtgqMU0tPTGTlyJAAPPPAAnTt3NrkiMVXfvsa1QlzxIF4b4u7cuZPo6GiCgoIoU6YMrVq1YsmSJWaXJSJy9dxyJq7zxmYKcUVERERckn0erguOUnjppZfYs2cP1apV49VXXzW7HDFbz57g6ws7d8L+/WZXI1IsXDbEXbNmDf369aN69epYLBYWLVqUb01cXBx16tQhKCiIDh06sGnTpgK/fvPmzVm1ahWnT5/m1KlTrFq1ikOHDhXjO3Bvw4YNM7sEESmq9NO5x24yEzdPJ65m4oqIiIi4np074fffwd8funUzu5o8EhISeO211wAjJwgNdY9GBilBYWHQqZNxrG5c8RAuG+KmpaXRqlUr4uLiLvr4vHnzGDt2LM8//zxbt26lVatWxMTEcPToUceaqKgomjdvnu9y+PBhIiMj+de//sWNN95I//796dixI76+vpesJyMjg9TU1DwXb7R3716GDx9OjRo1CAwMpG7dutx9991s3rw5z7rFixfTpUsXypcvT9myZWnfvj2zZ882p2gRb5Puhp24merEFREREXFp8+cb1zExUK6cubU4SU9P59577yU7O5sBAwZw++23m12SuAqNVBAP47Ihbu/evXn55Zcv+QV4ypQpjBw5kuHDhxMZGcnMmTMpW7YsH374oWNNQkICv/76a75L9erVAWNOztatW1m5ciX+/v40bNjwkvVMmjSJ0NBQx6VmzZrF+4ZdwPHjxxk6dCi1atVi7ty5NGjQgDvvvJPMC+HK5s2badu2Lb/99hvvvPMOiYmJLFy4kCZNmjBu3DjH6/znP//h1ltvpVOnTmzcuJFffvmFQYMG8eCDD/LYY4+Z9fZEvIdbzsRViCsiIiLismw2mDfPOL7rLnNr+Ztnn32WHTt2EBERwYwZM8wuR1xJnz7G9YoVcO6cubWIFAOXDXEvJzMzky1bttCjRw/HfT4+PvTo0YP169cX+HXsXbu7d+9m06ZNxFxmOPvTTz9NSkqK43Lw4MGivwEXNWbMGDZs2MDHH39Mnz59eO+996hXrx5WqxWbzcawYcNo2LAha9eupW/fvtSvX5+oqCief/55/ve//wFw8OBBxo0bx+jRo3nllVeIjIykQYMGjBs3jtdff53JkyezceNGk9+piIdzy5m42thMRERExGXt2GGMUwgIgFtuMbsah9WrVzNlyhQA3n//fSpXrmxyReJSmjWDmjUhPR1WrTK7GpGr5pYh7vHjx8nJySEiIiLP/RERESQlJRX4dW699VYiIyO59957mTVrFn5+fpdcGxgYSEhISJ6Lp9m2bRtDhgyhS5cuhIaG0q1bN1599VWCgoJISEhgx44djBs3Dh+f/H9swsLCAPjiiy/Iysq6aMftAw88QLly5Zg7d25JvxUR7+bcies2M3GdOnE1E1dERETEtdhHKdx0E7jIvNnU1FSGDh2KzWbjvvvu4+abbza7JHE1FktuN65GKogHuHRq6QUK07VbHBJ+OEDCD1fu4K1cqzx9H26Z575v3v6FYwfOXPG5UT1qEtWjVpHq69SpE7NmzaJVq1b5HtuzZw8ATZo0uexr/Pbbb4SGhlKtWrV8jwUEBFCvXj1+++23ItUnIgXkmIlrcc8QV524IiIiIq7DZssNcV1olMKjjz7Kn3/+Sd26dR3duCL59O0L77wD33wD//mPEeyKuCm3DHErVaqEr68vycnJee5PTk6matWqJXruuLg44uLiyMnJKfRzM89nk3Y644rrylUIzHff+TOZBXpu5vnsQtdlN2XKFF555RXGjBnDvn37SEhI4MEHH+TBBx/EZrMV+XVFpJTZO3EDy8NFOuddkTpxRURERFzU9u2wezcEBkK/fmZXA8CXX37J7NmzsVgs/Pe//6V8+fJmlySu6sYbjTEgf/wBu3ZB06ZmVyRSZO7xv/u/CQgIoG3btixfvtxxn9VqZfny5URHR5fouWNjY0lMTCQ+Pr7Qzw0o40dwWOAVL2XK5+9CK1M+oEDPDShT9Fw+ODiYiRMnsmfPHm655RYeeughxo4dy7vvvkujRo0A2LVr12Vfo1GjRqSkpHD48OF8j2VmZrJv3z7Ha4lICbDZ4Pwp49hN5uGC00xcf38sbhI8i4iIiHgF+4ZmffqAC4wV3Lt3LyNGjADgiSee4Prrrze5InFpwcHQtatxrJEK4uZcthP37Nmz7N2713F7//79JCQkEB4eTq1atRg7dixDhw6lXbt2XHvttUybNo20tDSGDx9uYtWXF9WjVpFHHfx9vEJJCwsL44EHHmDp0qWsXbuWkSNHEhkZyeTJkxk4cGC+ubinT58mLCyMAQMG8OSTTzJ58mQmT56cZ83MmTNJS0vj7rvvLs23IuJd9i6Hc8eN4wp1TC2lMGxZRieuunBFREREXIiLjVI4f/48d955J6mpqVx//fW89NJLZpck7qBvX1i61BipMG6c2dWIFJnLtjtt3ryZ1q1b07p1awDGjh1L69atGT9+PAADBw7kjTfeYPz48URFRZGQkMCSJUvybXYmBTdmzBhWr15NSkoKOTk5rFy5ktWrV9O2bVssFguzZs3it99+44YbbuDbb7/l999/55dffmHixInceuutANSqVYvXXnuNadOm8cwzz7Br1y727dvHlClTeOKJJxg3bhwdOnQw+Z2KeLAfneaBXTvSvDoKyXphnIKPQlwRERER15GQAHv3QlAQuMDGYaNHjyYhIYFKlSrx2Wef4a/vHaUg7JubrV0LqamXXyviwly2E7dr165XnMM6atQoRo0aVUoVeT57h/OePXtIS0tj1apVjBgxgkceeQSAa6+9ls2bNzNx4kRGjhzJ8ePHqVatGtdddx3Tpk1zvM7o0aOpV68eb7zxBtOnTycnJ4dmzZoxY8YMl+6UFnF7BzbCnz8ZxxUbQhPXmFlWELZMY5yCNjUTERERcSH2Lty+faFcOVNL+eSTT3j33XexWCx8+umnXHPNNabWI26kQQNo2BD27IEffoD+/c2uSKRIXDbEdVVXs7GZqxszZgxjxowBYNiwYcyePTvfmkaNGvHRRx9d8bVuueUWbrnlluIuUUQux7kL9/rRbrOpGeRubKYQV0RERMRFuNAohcTERB544AEAnnvuOXr16mVqPeKG+vaFadOMkQoKccVNuc//8F3E1WxsJiJSYpJ3wG9LjOOQa6CF+TPLCsO+sZlm4oqIiIi4iPh4+P13KFPGCMBMcvr0afr378+5c+fo3r27Y8SiSKHYRyp88w1kZ5tbi0gRKcSVi7pYF66IuLAfp+YeX/cI+LlXR6s6cUVERERczMyZxnX//hAcbEoJWVlZ3HHHHezevZtrrrmGTz/9FF9fX1NqETfXpQtUrAjJybBsmdnViBSJQlwREXeWcQZWvQq/LjBulwmHNkPMrakIFOKKiIiIuJATJ2DuXOP44YdNKcFmszFq1CiWL19OcHAwixcv1kbmUnQBATB4sHGspjVxUwpxRUTcUVY6rHsLpreCVa+A7cKc7o4PQ4A5nRJFZcvOBqsV0DgFEREREZcwezakp0NUFERHm1LC1KlTHRuZzZ07l6ioKFPqEA8ybJhxvWgRnDplZiUiRaIQt5Di4uKIjIykffv2ZpciIt7KaoW5g2DpM3DuhHGfxRfajzQ2NHMz9nm4oE5cEREREdNZrTBjhnH88MNgsZR6CV999RWPPfYYAG+88Qb9+vUr9RrEA0VFQcuWkJkJn31mdjUihaYQt5C0sZmImO6XefD7ygs3LNDiThgVD33fAF/362S1j1IAhbgiIiIiplu6FPbtg9BQuOeeUj99QkIC99xzDzabjfvvv58xY8aUeg3ioSwWGDrUOP7oI3NrESkChbgiIu4kPQWWOe3Ie/dnMOB9qFjfvJqukkJcERERERfy9tvG9bBhpb6h2e+//06fPn1IS0ujR48evPXWW1hM6AQWDzZ4MPj6wsaNsHOn2dWIFIpCXBERd7L6NUg7ahw37QeNbzK3nmKQJ8TVTFwRERER8/zxByxebBw/9FCpnjopKYlevXpx5MgRmjdvzueff46/vjeU4hYRAX36GMfqxhU3oxBXRMRdHN0FG2cax35B0GuiufUUk7wzcfWNuoiIiIhp3nkHbDbo0QMaNy61054+fZqbbrqJffv2UbduXb7//nvCwsJK7fziZewbnH38MeTkmFqKSGEoxJWLGmb/oiYirsFmg++eAGu2cfv6sVChtrk1FROrximIiIiImC8jA95/3zh++OFSO21KSgoxMTH8/PPPREREsHTpUqpXr15q5xcvdPPNULEiHD4My5aZXY1IgSnELaS4uDgiIyNp37692aWUuq5duzJ69Oh898+ePTvPT0kXLFhAz549qVy5MiEhIURHR/P999/ne97BgwcZMWIE1atXJyAggNq1a/Poo49y4sSJEnwXIm4q8X+wf7VxHFYLOv3L3HqKkS0ztxPXRyGuiIiIiDk+/xyOH4caNaBfv1I5ZWpqKjfddBObNm0iPDycpUuX0qBBg1I5t3ixgIDcTftmzza1FJHCUIhbSLGxsSQmJhIfH292KcXu+PHjDB06lFq1ajF37lwaNGjAnXfeSaZTl1xBrFmzhp49e/Ltt9+yZcsWunXrRr9+/di2bZtjze+//067du3Ys2cPc+fOZe/evcycOZPly5cTHR3NyZMni/vtibivzDT4/pnc2zf9G/zLmFdPMdNMXBERERGTWa0webJx/MAD4OdX4qdMTU2lT58+bNiwgQoVKvDDDz/QsmXLEj+vCJA7UmHRIjh1ysxKRApMIa44jBkzhg0bNvDxxx/Tp08f3nvvPerVq4fVai3U60ybNo0nnniC9u3b07BhQ1555RUaNmzI119/7VgTGxtLQEAAS5cupUuXLtSqVYvevXvzww8/cOjQIZ555pnLnEHEy/w4FVL/Mo4b9IDGfcytp5jlnYmrTlwRERGRUjdvHiQkQPny8OCDJX66EydO0L17d3766SdCQ0NZtmwZrVu3LvHziji0bg0tWhhjRObNM7sakQJRiCsO27ZtY8iQIXTp0oXQ0FC6devGq6++SlBQ0FW9rtVq5cyZM4SHhwNw8uRJvv/+ex5++GHKlMnbTVi1alUGDx7MvHnzsNlsV3VeEY9w8nf4abpx7OMPN70KFou5NRWzvJ24CnFFRERESlVmJjz7rHH8+ONQqVKJnu7IkSN06dKFzZs3U7FiRVasWEHbtm1L9Jwi+Vgsud24GqkgbqLkPyMhDpsXL2TLN4uuuK5K3frc/sT4PPctfG0CR/fvu+Jz2/a9jXY3316k+jp16sSsWbNo1arVJde8/fbbvG8fdn9Bdnb2ZYPeN954g7Nnz3LXXXcBsGfPHmw2G02bNr3o+qZNm3Lq1CmOHTtGlSpVivBORDzIkv+DnAshZ3QsVPK8GWG2LG1sJiIiImKa99+H33+HiAgYM6ZET7Vnzx569+7Nvn37qFatGj/88AORkZElek6RSxo8GJ54AjZuhF9/hebNza5I5LIU4paizPPnOHvyypt2la+Y/yef51NTCvTczPPnilQbwJQpU3jllVcYM2YM+/btIyEhgQcffJAHnT5OM3jw4HyjDhYsWMArr7xy0decM2cOL774Iv/73//yBbLqtBW5gt++h9++M47LV4POj5tbTwnRTFwRERERk5w9CxMmGMfPPQflypXYqdatW8ctt9zCiRMnqFu3LsuWLaN+/foldj6RK4qIgNtugy+/hIkTYe5csysSuSyFuKUooExZyoVXvOK6MiGhF72vIM8NKFO2SLUBBAcHM3HiRCZOnMhtt91G7969GTNmDD4+Ptx///0AhIaG5tst9FLdsp999hn33Xcfn3/+OT169HDc36BBAywWCzt37uT22/N3De/cuZMKFSpQuXLlIr8XEbeXnQFLnsq93etlCCy5b6rNpJm4IiIiIiaZNg2Sk6FePRg5ssRO88UXX3DvvfeSkZFBu3btWLx4MRERESV2PpECe+45I8SdN88YK9KsmdkViVySQtxCiouLIy4ujpycnEI/t93Ntxd51MHfxyuUtLCwMB544AGWLl3K2rVrHSFuQc2dO5cRI0bw2Wef0bdv3zyPVaxYkZ49e/L2228zZsyYPHNxk5KS+PTTTxkyZAgWD5v7KVIo698y5uEC1O4EzQeYW08JytOJqxBXREREpHQcPw6vvWYcv/wylMD3YVarlZdeeokXXngBgH79+jF37lyCg4OL/VwiRdKqFfTvDwsWGF3p2uRMXJg2Niuk2NhYEhMTiY+PN7uUYjdmzBhWr15NSkoKOTk5rFy5ktWrVxd6yPycOXMYMmQIkydPpkOHDiQlJZGUlERKSopjzVtvvUVGRgYxMTGsWbOGgwcPsmTJEnr27Mk111zDxIkTi/vtibiP0wdhzRvGscUHer/mcZuZOVOIKyIiImKCV16BM2egdWsYOLDYX/7MmTPccccdjgD3X//6FwsXLlSAK67n+eeN688/N2bjirgohbjiUKtWLcaOHUvNmjUdQeyIESN45JFHCvU67777LtnZ2cTGxlKtWjXH5dFHH3WsadiwIZs3b6ZevXrcdddd1K9fn/vvv59u3bqxfv16wsPDi/vtibiPJU9B1oX51u3vg6qePWBfM3FFREREStmBAxAXZxxPmgQ+xRsN7Nq1i+uuu46FCxcSEBDAhx9+yPTp0/H19S3W84gUi5Yt4Y47wGaDF180uxqRS9I4BXEYM2YMYy7sRjps2DBmz56d5/FVq1Zd9HnDhg1j2LBhV1z3d7Vr1853DhGv99tS2LXYOA6uAt2eufx6D5B3Jq5CXBEREZESZbPB6NGQmQndukGvXsX68h9//DEPPfQQaWlpVKtWjQULFtCxY8diPYdIsXv+efjiC+Pyyy9GsCviYtSJKyLiKrLOw3eP597u9TKUCTOtnNJi1TgFERERkdLz/vuwcCH4+8OUKcU2tistLY3hw4czZMgQ0tLSuPHGG9myZYsCXHEPzZvDnXcaxxMmmFuLyCUoxJWLUoesiAl+nAqn/jCOa18PLe8ytZzS4jxOwUchroiIiEjJ2bUL7GPuJk2CqKhiedmffvqJqKgoZs+ejY+PDy+++CJLly6lWrVqxfL6IqXi+eeNH2p8+SX8/LPZ1YjkoxBXRMQVnNgHP04zjn38oO9kj97MzJkt02mcgmbiioiIiJSMjAy45x44fx569oQLo/SuRnp6Oo8//jg33HADe/fupUaNGixfvpzx48dr/q24n2bN4K4LjTSajSsuSCGuiIjZbDb49nHIyTBuR8dClSbm1lSK8s7EVSeuiIiISIl45hnYtg0qVYKPPrrqzczWrFlDmzZteOONN7DZbAwbNozt27fTtWvX4qlXxAzjxxvNNAsXQkKC2dWI5KEQt5Di4uKIjIykffv2ZpciIp5i51ewb7lxHHINdH7C3HpKmU0zcUVERERK1rJlMHmycfzBB3AVYw6Sk5MZMmQIXbp0YefOnURERPDVV18xa9YswsLCiqdeEbNERsKgQcZxbCxkZ5tbj4gThbiFFBsbS2JiIvHx8WaXIiKeIOMsfPdU7u2b/g2B5cyrxwQKcUVERERK0LFjMGSIcfzww3DLLUV6maysLN566y0aN27Mxx9/jMVi4YEHHiAxMZF+/foVY8EiJnvlFQgJgXXrjNnRIi5CIa6IiJlWvwpnDhvHDXpAU+/7BjhPiKuZuCIiIiLFJzPTCHCTkowOwzfeKPRL2Gw2Pv/8cyIjI3nkkUdISUmhdevWrF+/npkzZxIeHl4ChYuYqE4diIszjl98ETZuNLUcETuFuCIiZjm6Eza8bRz7BkLv17xmMzNnmokrIiIiUgIyM41NmpYsgcBAmDMHypQp8NNtNhsrVqygQ4cO3HXXXezdu5fKlSsTFxdHfHw8HTp0KMHiRUw2eLAxViEnxzg+c8bsikQU4oqImMJmg2/GgfXCjKXrx0DF+ubWZBKNUxAREREpZhkZcMcd8L//GQHu//4HrVoV6Kk2m43vvvuOG264ge7duxMfH09wcDAvvPAC+/bt4+GHH8bX17eE34CIySwWmDEDataEfftg9GizKxJRiCsXN2zYMLNLEPFsv8yDP38yjivUhetHm1qOmRTiioiIiBSjjAwYMAC+/hqCgozrmJgrPs1qtbJgwQLatWtHnz59+OmnnwgICCA2NpZ9+/bx/PPPU758+VJ4AyIuIiwMPv7YCHQ//BAWLDC7IvFyCnGlUPbu3cvw4cOpUaMGgYGB1K1bl7vvvpvNmzc71lgsFhYtWpTvucOGDeO2225z3J4xYwYtW7YkJCSEkJAQoqOj+e677/I9b926dfTp04cKFSoQFBREixYtmDJlCjk5OXnWFfS8IqY7fxqWPpt7u8/r4F/wj7Z5Gs3EFRERESkm6elw++3wzTfG6ITFi6Fnz8s+5eTJk0yePJlGjRoxYMAAtm7dStmyZRk7diz79+/nrbfeIiIiopTegIiL6dIFnnjCOB45Eg4dMrce8WoKccXh+PHjDB06lFq1ajF37lwaNGjAnXfeSeaFgGXz5s20bduW3377jXfeeYfExEQWLlxIkyZNGDduXKHPV6NGDf7973+zZcsWNm/ezI033sitt97Kjh07HGsWLlxIly5dqFGjBitXrmTXrl08+uijvPzyywwaNAibzVZs71+k1Kx4GdKOGcdN+0HDy39j7enyzMRViCsiIiJSNOnpcNtt8N13uQFu9+6XXL5lyxZGjBjBNddcw2OPPca+ffsIDQ3l2Wef5c8//2Ty5MlUr1699OoXcVUTJkCbNnDyJNxzD5w7Z3ZF4qX8zC5AXMeYMWPYtGkTH3/8MdOmTeNf//oXS5YswWq1YrPZGDZsGA0bNmTt2rX4+OTm/1FRUTz66KOFPl+/fv3y3J44cSIzZsxgw4YNNGvWjLS0NEaOHMktt9zCu+++61h33333ERERwS233ML8+fMZOHBg0d+0SGk7vA02f2Ac+wfDTf82tx4XYM260Inr74/FRz9bFBERESm0336DYcNg/XooW9boxO3aNd+yAwcOMHfuXD799FO2b9/uuD8qKorY2FjuvvtugoODS69uEXcQEACffgrt2sGaNdCnjzGmRONFpJTpf8visG3bNoYMGUKXLl0IDQ2lW7duvPrqqwQFBZGQkMCOHTsYN25cngDXLiws7KrOnZOTw2effUZaWhrR0dEALF26lBMnTvDYY4/lW9+vXz8aNWrE3Llzr+q8IqXKajU2M7NZjdtdnoDQGubW5ALs4xR81IUrIiIiUjg5OfDGG8amZevXG6HSt9/mCXBPnDjBu+++S5cuXahduzZPPfUU27dvJyAggMGDB7Nu3Tq2bt3KfffdpwBX5FKaNIElS4y/Y6tXQ69ecPq02VWJl1Enbik6s/Yvzq698vwU/2vKUWloszz3Hf9oB1mHzl7xueVuuIbyNxQtFOrUqROzZs2i1UV2Ld2zZw8ATZo0KdBr3X333fl2LM3IyKBv37557tu+fTvR0dGkp6dTrlw5Fi5cSGRkJAC//fYbAE2bNr3oOZo0aeJYU9jziphi60dwaItxXLkJdHzY3HpchC3TGKegUQoiIiIihbBzJwwfDhs3Grd79oT33sNWqxY7ExNZvHgxX3/9NevWrcNqNZoILBYLXbp0YfDgwQwYMIAKFSqY+AZE3Mz118Py5cZGgRs2wI03wtKlUKmS2ZWJl1CIW0hxcXHExcXl21SrIKzpOeSkZl5xnW9YVr77rGlZBXquNb3wddlNmTKFV155hTFjxrBv3z4SEhJ48MEHefDBBws9e3bq1Kn06NEjz31PPvlkvl+3xo0bk5CQQEpKCl988QVDhw5l9erVjiAXKNS5C3pekVKXdhx+eCH3dp83wC/AtHJciX0mriVAvx4iIiIiV5SdbXTfvvACZGRASAjnXn6ZVfXq8f2UKSxevJjff/89z1NatWrF4MGDGTRoEDVr1jSnbhFP0L49rFpl/NBk2zZj47MffoBq1cyuTLyAQtxCio2NJTY2ltTUVEJDQwv1XJ8gX3xDrhxS+ATn70bzCfYv2HODfK+45lKCg4OZOHEiEydO5LbbbqN3796MGTMGHx8f2rdvD8CuXbto3br1FV+ratWqNGjQIM995cuX5/TfPm4QEBDgWNe2bVvi4+OZPn0677zzDo0aNQJg586dXHfddfnOsXPnzjxhb2HOK1Lqfnge0k8bxy0HQt0bTC3HldjHKSjEFREREbmMnBxjVMKLL8IW49NdiXXqMDY4mGWjRzu6bcH4f9aNN95Iv3796Nu3L7Vr1zarahHP07KlMVKhe3dITIQbbjBm5nboYHZl4uEU4pai8jfUKPKog7+PVyhpYWFhPPDAAyxdupS1a9cycuRIIiMjmTx5MgMHDsw3F/f06dNXPRcXwGq1kpGRAUCvXr0IDw9n8uTJ+ULcr776ij179vDSSy9d9TlFStyBDbDtE+M4MAR66s+tM0eIq3EKIiIiIvmc2buX46++SsUvvyTk1CkATgGPAh//8YdjXYMGDejSpQs333wzPXr0oFy5cqbUK+IVmjSBtWuNIHffPoiOhgcegFdeAY0pkRKiEFccxowZw2233UZUVBQ5OTmsXLmS1atX8+yzz2KxWJg1axY9evTghhtu4JlnnqFJkyacPXuWr7/+mqVLl7J69epCne/pp5+md+/e1KpVizNnzjBnzhxWrVrF999/Dxidwe+88w6DBg3i/vvvZ9SoUYSEhLB8+XIef/xx7rjjDu66666S+KUQKT452cZmZnY3PgflI8yrxwWpE1dEREQEsrKy2L9/P7/99hu/bt/O+aVLab95M73OnqXuhTUngFnAZKBis2Y81LkznS9cqlevbl7xIt6oXj3YtAkefxw++ghmzoQFC2DyZBg8GCwWsysUD6MQVxxq1arF2LFj2bNnD2lpaaxatYoRI0bwyCOPAHDttdeyefNmJk6cyMiRIzl+/DjVqlXjuuuuY9q0aYU+39GjRxkyZAhHjhwhNDSUli1b8v3339OzZ0/HmjvuuIOVK1cyceJEbrjhBtLT02nYsCHPPPMMo0ePxqIviuLqNr0Lyb8ax1VbQvt/mluPC9JMXBEREfEWOTk5HD58mD179vDbb7/luRzat482Vis3APcAzZ2etzUggDXNmnGub19aXHstv3TsSOXKlU16FyLiULkyzJ5tbDL40EPGhoP/+Ad88IExt/qGG+Bvn2QWKSqLrbA7VgmAYyZuSkoKISEheR5LT09n//791K1bl6CgIJMqvDrDhg1j9uzZZpdRajzh90xcUOoReKs9ZJ4BLHDfD1CjndlVuRRbdja7mrcAoEybNtSZ86nJFYl4l8t9PyOu76+//qJmzZocPHiQGjWKNrJLRIpPeno6hw8f5q+//uKvv/7i0KFDea7/+usvkpKSHJsuhwOdLlyuB9oBgU6vl+nvz9GePQkeN44KN95Y6u9HRAopMxOmTIEJE+D8eeO+OnVgyBAj2P3b/j1i0PczBadOXBGRkrJs/IUAF2gzRAHuRdhHKYBm4opI6VizZg2vv/46W7Zs4ciRIyxcuJDbbrvN8bjNZuP555/nvffe4/Tp03Tq1IkZM2bQsGFDx5qTJ0/yyCOP8PXXX+Pj48OAAQOYPn16nvmTv/zyC7GxscTHx1O5cmUeeeQRnnjiiTy1fP755zz33HP88ccfNGzYkFdffZU+ffqU+K+BiFyazWYjMzOTtLQ0Tp06xYkTJxyXkydPXvTYfjs1NTXf6/kC1YGawA1ALaCxxUJnf38aOH0f5Dh/1apYOnWC7t0JuOceahRyM20RMVFAADz1FAwcaMzGnTcP/vjDCHUnTIBOnaB/f7j2WmjdGoKDza5Y3IxCXLkob+rCFSkRBzfB9vnGcZkK0OMFU8txVXlCXI1TEJFSkJaWRqtWrRgxYgT9+/fP9/hrr73Gm2++yUcffUTdunV57rnniImJITEx0fFpncGDB3PkyBGWLVtGVlYWw4cP5/7772fOnDmA0eHcq1cvevTowcyZM9m+fTsjRowgLCyM+++/H4B169Zx9913M2nSJG6++WbmzJnDbbfdxtatW2nevHm+ukS8UU5ODpmZmZe8ZGVlXfbxtLQ00tLSOHv2bL7jS12npaWRnZ190XosQLkLl/IXLuWAaheuKwJ1/fxoHBREbR8fqmVnE37+PD5//zossFkAACDRSURBVPCrzWZ07AE0bQrXX2+EO9dfj6VePc3RFHF3devCe+/B9Onwv/8Z83KXLYOffjIuYIxYaNYM2rUzAt1ateCaa4xLlSrg62vuexCXpHEKReTp4xS8jX7PpFhZrfB+dzi81bjd5w24dqS5Nbmo7GPH2HNDZwDKde9Ozbi3TK5IxLt4+zgFi8WSpxPXZrNRvXp1xo0bx2OPPQZASkoKERERzJ49m0GDBrFz504iIyOJj4+nXTvjExZLliyhT58+/PXXX1SvXp0ZM2bwzDPPkJSURMCFH1A99dRTLFq0iF27dgEwcOBA0tLSWLx4saOejh07EhUVxcyZMwtUv/3jh1+2b0+oO3//4iH/HXHl2M1msxXtYrUW/blXuFjt11YrOTk5WHNyyPnb5Wr+ZFgwumD9Llz8nY79Cnh/OR8fQn18KAcEW62UsVqLVoy/P9SoYYQ0NWtC7drQoQNcdx1UrHgV71JE3MbhwzB3LqxdC/Hxxu1L8fWFatUgLAzKl4dy5Yzr8uUhKAj8/C5+8fXNe7swPxAycW3y6dNUHT9e4xQKQJ24IiLF7ZfPcgPcKpHQdri59biwvJ24GqcgIubav38/SUlJ9OjRw3FfaGgoHTp0YP369QwaNIj169cTFhbmCHABevTogY+PDxs3buT2229n/fr1dO7c2RHgAsTExPDqq69y6tQpKlSowPr16xk7dmye88fExLBo0aJL1peRkUFGRobj9pkzxsieHvHxeF8EL1IKrFbj8nc+PrmBinPAEhpqhLS1auW9RERoYyMRb1e9OowbZ1zACHHj443Ljh1w6JBxSUqCnBz46y/j4gXKFOVJcXHw+uvGr1erVvCf/xhjKjycQlwRkeKUcQZ+eCH39k2TwFdfai/Fqpm4IuJCkpKSAIiIiMhzf0REhOOxpKQkqlSpkudxPz8/wsPD86ypW7duvtewP1ahQgWSkpIue56LmTRpEi+++GK++39q3JgQFx1J4+o9tjYv+ti6xWK55AX78UXWXeoxLBYsPj6Ff87fHvPx8cHX1xcfHx98fH3xvci1/XFLYX+/Ltap5u9f8PvLls0NaJ2vg4I08kBErk716nDrrcbFWXY2JCcbIW9KCpw9C2fO5F4yMow12dlG2Gs/dr7k5EBWVsFrKcwnYkpgbVZaGjh9MumK5s2DsWNh5kzjUw3TpkFMDOzebYyi8GBKFkREitPaKXA22ThucjPU62pqOa7Olpn7zYVm4oqIXN7TTz+dp3v30KFDREZG0uKHH/TxQxEREU/g55c7G9dLnP/rLyPEPXMGnDeIDAw0Ln83ZQqMHAnDL3zideZM+OYb+PBDY2M5D6bPdIiIFJeT+2H9hZmuvgHQ6yVz63EDzuMUfBTiiojJqlatCkBycnKe+5OTkx2PVa1alaNHj+Z5PDs7m5MnT+ZZc7HXcD7HpdbYH7+YwMBAQkJCHJfy5csX9i2KiIiIuKSQyEhjLI39MmlS/kWZmbBlCziNvsLHx7i9fn3pFWsShbgiIsVl6bOQcyGU7PgwhNcztx43YHP6mI/FXyGuiJirbt26VK1aleXLlzvuS01NZePGjURHRwMQHR3N6dOn2bJli2PNihUrsFqtdOjQwbFmzZo1ZDl9jVu2bBmNGzemQoUKjjXO57GvsZ9HRERExJukJiYaIyTsl6efzr/o+HFjXMTfRlIREWHMx/VwCnFFRIrD76th14U5PuUioPNj5tbjJrSxmYiUtrNnz5KQkEBCQgJgbGaWkJDAgQMHsFgsjB49mpdffpmvvvqK7du3M2TIEKpXr85tt90GQNOmTbnpppsYOXIkmzZt4qeffmLUqFEMGjSI6tWrA3DPPfcQEBDAP//5T3bs2MG8efOYPn16nlEIjz76KEuWLGHy5Mns2rWLF154gc2bNzNq1KjS/iURERERMV/58hASknu52CgFL6cQt5Di4uKIjIykffv2ZpdSooYNG2Z2CSLuIycbljj9lLD7eAjUR1wLwpblvLGZOnFFpORt3ryZ1q1b07p1awDGjh1L69atGT9+PABPPPEEjzzyCPfffz/t27fn7NmzLFmyhKCgIMdrfPrppzRp0oTu3bvTp08frr/+et59913H46GhoSxdupT9+/fTtm1bxo0bx/jx47n//vsda6677jrmzJnDu+++S6tWrfjiiy9YtGgRzZs3L6VfCRERERE3U6kS+Poam785S06Gy4yk8hQKcQspNjaWxMRE4uPjzS6l1HXt2hWLxcJnn32W5/5p06ZRp04dx+3Zs2cTFhZ20dewWCwsWrTIcfuWW26hVq1aBAUFUa1aNf7xj39w+PDhEqhepARt+xiO7jCOq0VBq3tMLced5O3EVYgrIiWva9eu2Gy2fJfZs2cDxvcqEyZMICkpifT0dH744QcaNWqU5zXCw8OZM2cOZ86cISUlhQ8//JBy5crlWdOyZUvWrl1Leno6f/31F08++WS+Wu688052795NRkYGv/76K3369Cmx9y0iIiLi9gICoG1bcB5JZbUat71gJJVCXHE4fvw4Q4cOpVatWsydO5cGDRpw5513kukUsgQFBfHss8/mmfF2Nbp168b8+fPZvXs3X375Jfv27eOOO+4oltcWKRXZGbDm9dzbvV81BqtLgeSZiasQV0RERERERC5n7Fh47z346CPYuRMeegjS0mD4cLMrK3FKGsRhzJgxbNiwgY8//pg+ffrw3nvvUa9ePaxWq2PN3XffzenTp3nvvfeK7ZwdO3akdu3aXHfddTz11FNs2LCh2EJikRK39b+Qesg4bnQT1Opobj1uJk8nrr9m4oqIiIiIiMhlDBwIb7wB48dDVBQkJMCSJfk3O/NACnHFYdu2bQwZMoQuXboQGhpKt27dePXVV/PMgAsJCeGZZ55hwoQJpKWlFev5T548yaeffsp1112Hv8IccQdZ6bB2cu7trk+ZV4ubyj5+wnHsGxZqYiUiIiIiIiLiFkaNgj//hIwM2LgROnQwu6JS4Wd2Ad5k3bp1rF+//orrqlWrxj335J2pOWfOHI4cOXLF50ZHR3PdddcVqb5OnToxa9YsWrVqddl1Dz/8MNOnT2fKlCk899xzF12TkpKSbzbcpTz55JO89dZbnDt3jo4dO7J48eJC1y5iiq0fwZkLfy8b94Hqrc2txw1lOX1d87+wq7uIiIiIiIiI5KVO3FKUkZHBmTNnrng5d+5cvueeO3euQM/NyMgocn1Tpkxh4MCBjBkzhv/+979ERUUxc+bMfOsCAwOZMGECb7zxBsePH7/oa5UvX56EhIR8l4t5/PHH2bZtG0uXLsXX15chQ4Zgs9mK/D5ESkXWeVg7Jfe2unCLJOtI7kaG/tWqmViJiIiIiIiIiOtSJ24pCgwMpHz58ldcV7Zs2YveV5DnBgYGFqk2gODgYCZOnMjEiRO57bbb6N27N2PGjMHHx4f7778/z9p7772XN954g5dffpk6derkey0fHx8aNGhQoPNWqlSJSpUq0ahRI5o2bUrNmjXZsGED0V6ws6C4sc2z4GyScdzkZqh2+Q52ubjswxc6cX188KtSxdxiRERERERERFyUQtxSdN111xV51MHfxyuUtLCwMB544AGWLl3K2rVr84W4Pj4+TJo0if79+/PQQw8V23ntm6hdTUexSInLPAc/Ts293fVp82pxc/ZxCn4REVj89E+SiIiIiIiIyMVonII4jBkzhtWrV5OSkkJOTg4rV65k9erVtG3b9qLr+/btS4cOHXjnnXeKdL6NGzfy1ltvkZCQwJ9//smKFSu4++67qV+/vrpwxbVt/hDSjhrHkbdC1ebm1uOmrOfPk3PqFKBRCiIiIiIiIiKXo7YncahVqxZjx45lz549pKWlsWrVKkaMGMEjjzxyyee8+uqrRe4uLlu2LAsWLOD5558nLS2NatWqcdNNN/Hss89e1VgIkRKVmebUhWuBLpqFW1RZR5IcxwpxRURERERERC5NIa44jBkzhjFjxgAwbNgwZs+enefxVatW5XtOdHR0vk3Ihg0bxrBhwy56Due1LVq0YMWKFVdVs0ipi38fzl3Y0K/ZbRARaWo57iw76Yjj2L+6QlwRERERERGRS9E4BRGRgso4Cz9Nv3BDXbhXyz4PF8BPnbgiIiIiIiIil6QQVy7q7124IgLEvwfnThjHzQdAlSbm1uPmsg47deIqxBURERERERG5JIW4IiIFkZkGP71pHFt8oMuT5tbjAZw7cf2rVzexEhERERERERHXppm4IiIF8esCOH/SOG4+ACo3MrceN2az2Uj/dQcpCxY47lMnroiIiIiIiMilKcQtQX/f8Etcl36v5Iq2fpR73OEh8+pwcxl79pA8aRJp69Y77vMJDsanfHkTqxIRERERERFxbQpxS4C/vz8A586do0yZMiZXIwVx7tw5IPf3TiSP5B3wV7xxHNEcrmljbj1uynruHH8Mvhdramqe+8t26IDFYjGpKhERERERERHXpxC3BPj6+hIWFsbRo0cBKFu2rAIKF2Wz2Th37hxHjx4lLCwMX19fs0sSV7TFqQu37TDQ3+ciObdlqyPA9atejfB77sGvWjXKd+tmcmUiIiIiIiIirk0hbgmpWrUqgCPIFdcWFhbm+D0TySPrPPzymXHsVwZa3GluPW7s3ObNjuOIxx4jpE8fE6sRERERERERcR8KcUuIxWKhWrVqVKlShaysLLPLkcvw9/dXB65cWuL/ID3FOG52O5QJM7Ucd3YuPt5xXKZdOxMrEREREREREXEvXhHi3n777axatYru3bvzxRdf5Hls8eLFjBs3DqvVypNPPsl9991XrOf29fVVQCjizrbMzj1uO9S0MtydNT2d89u3AxBQuzb+VaqYXJGIiIiIiIiI+/Axu4DS8Oijj/Lf//433/3Z2dmMHTuWFStWsG3bNl5//XVOnDhhQoUi4pKO7YYD643jyk2gZgdz63Fj5xN+hgufSijTXl24IiIiIiIiIoXhFSFu165dKV++fL77N23aRLNmzbjmmmsoV64cvXv3ZunSpSZUKCIuyXlDszZDtaHZVXCehxvcvr2JlYiIiIiIiIi4H9ND3DVr1tCvXz+qV6+OxWJh0aJF+dbExcVRp04dgoKC6NChA5s2bSqWcx8+fJhrrrnGcfuaa67h0KFDxfLaIuLmstLh57nGsW8gtBpkbj1u7vzWrY7jspqHKyIiIiIiIlIops/ETUtLo1WrVowYMYL+/fvne3zevHmMHTuWmTNn0qFDB6ZNm0ZMTAy7d++myoWZilFRUWRnZ+d77tKlS6levXqx1JmRkUFGRobjdkqKsdFRampqsby+iLiYHYvg9IXxKpH/3969B0VV/38cfyGEKQuriOKFi3+E5h3F1tHx/iUMG/GSOTVKK5k1jqOZo45OeZvGsSZ11DIrKzOykbSUtMySkTS8azp5Lfx6IcV1TDHAr7fd8/vDnzuDoC647FnZ52OGGfdzPvs5b5cX+PbDcs4z0q0Qia/3Kvvnv//VLadTtSIi9L/wcP2P1xLwC3f6GMMwTK4EVeFyuSRJhYWFJlcCAABQNXf6mDt9De7N9E3c1NRUpaam3vP4ggULNHr0aGVkZEiSPvroI/3www/6/PPPNXXqVEnSgQMHqnTupk2blnnn7dmzZ2Wz2SqcO3fuXM2ePbvceGxsbJXODeBRkvn/H/AKq9XsCgDcpbi4WFa+Nh85BQUFknTP/hUAAOBR4XA4FBcXZ3YZfs30Tdz7uXHjhvbt26dp06a5x2rVqqXk5GTt2LHjode32Ww6dOiQzp49K6vVqo0bN2r69OkVzp02bZomTpzoflxUVKT4+HidOXPGL//T89RTT2nPnj1+uW5l1/B0vifz7jenssf+/fdfxcbGqqCgQBEREQ+sz9fIQOXnkAHfrUsGfMNfM1CV55OBqnnQ62EYhoqLi732m0vwrVatWkmSDh065Jf9aO/evZWbm+uXa1f2+ZWZ/6C5VT1e0XhxcbFat26tI0eOVHgPELORAe8eJwPeXZsM+AYZ8O7xmpgBl8slh8Ohjh07+q6oR5Rfb+JevHhRTqdT0dHRZcajo6N17Ngxj9dJTk7WwYMHVVpaqpiYGK1evVpdu3ZVSEiI5s+frz59+sjlcmnKlClq0KBBhWvUrl1btWvXLjdutVr98j9twcHB1VKXN9at7Bqezvdk3v3mVPVYREQEGajmNchA1ZCBys8hA75ZtyrPJwNV48nr4Y+bf/BMSMjtVj42NtYv8xcaGqqYmBi/XLuyz6/M/AfNrerxisbvXBKlWbNmZKCan08GqoYMePc4GfDu2mTANzx53XgHrmf8ehPXWzZv3nzPY2lpaUpLS/NhNb4xduxYv123smt4Ot+TefebU9Vj/ooMVH4OGfDdumTAN/w1A1V5PhmomkexZtQc1Zk/X38fqsz8B82t6vFH8euZDHj3OBnw7tpkwDfIgHePk4HAFmT40Z0sgoKCtHbtWg0aNEjS7csp1K1bV2vWrHGPSZLdbldRUZGys7PNKVS3f9JhtVp15coVv/xJB6ofGQAZABkAGYCZyB/IAMgAyADIQOCoZXYB9xMaGqqkpCTl5OS4x1wul3JyctS1a1cTK7t9eYWZM2dWeIkFBAYyADIAMgAyADORP5ABkAGQAZCBwGH6O3FLSkqUn58vSerYsaMWLFigPn36KDIyUnFxccrKypLdbtfHH38sm82mhQsX6ptvvtGxY8fKXSsXAAAAAAAAAGoa0zdxc3Nz1adPn3LjdrtdX3zxhSTpgw8+0Hvvvafz588rMTFRixcvVpcuXXxcKQAAAAAAAAD4numbuAAAAAAAAACAe/Pra+ICAAAAAAAAQKBjExcAAAAAAAAA/BibuAAAAAAAAADgx9jErQYbNmxQy5YtlZCQoE8//dTscmCCwYMHq379+ho6dKjZpcAEBQUF6t27t1q3bq327dtr9erVZpcEHysqKlLnzp2VmJiotm3batmyZWaXBJNcvXpV8fHxmjRpktmlIADRk4KeNLDRk4KeFBL9aE3Cjc287NatW2rdurW2bNkiq9WqpKQkbd++XQ0aNDC7NPhQbm6uiouLtWLFCq1Zs8bscuBjhYWFcjgcSkxM1Pnz55WUlKQ///xTYWFhZpcGH3E6nbp+/brq1q2r0tJStW3bVnv37uXfggD05ptvKj8/X7GxsZo3b57Z5SCA0JNCoicNdPSkoCeFRD9ak/BOXC/bvXu32rRpo2bNmslisSg1NVU///yz2WXBx3r37q3w8HCzy4BJmjRposTERElS48aNFRUVpUuXLplbFHwqODhYdevWlSRdv35dhmGIn5kGnr/++kvHjh1Tamqq2aUgANGTQqInDXT0pKAnBf1ozcIm7l22bt2qAQMGqGnTpgoKCtK6devKzVmyZImaN2+uxx9/XF26dNHu3bvdx86dO6dmzZq5Hzdr1kxnz571Ren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      "text/plain": [
       "<Figure size 1600x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "species = [\"CO\", \"H2O\", \"CH3OH\", \"NH3\", \"$CO\", \"$H2O\", \"$CH3OH\", \"$NH3\"]\n",
    "\n",
    "fig, [ax, ax2] = plt.subplots(1, 2, figsize=(16, 9))\n",
    "ax = uclchem.analysis.plot_species(ax, phase2_df, species)\n",
    "settings = ax.set(\n",
    "    yscale=\"log\",\n",
    "    xlim=(1, 20 * dissipation_time),\n",
    "    ylim=(1e-10, 1e-2),\n",
    "    xlabel=\"Time / years\",\n",
    "    ylabel=\"Fractional Abundance\",\n",
    "    xscale=\"log\",\n",
    ")\n",
    "\n",
    "ax2.plot(phase2_df[\"Time\"], phase2_df[\"Density\"], color=\"black\")\n",
    "ax2.set(xscale=\"log\")\n",
    "ax3 = ax2.twinx()\n",
    "ax3.plot(phase2_df[\"Time\"], phase2_df[\"gasTemp\"], color=\"red\")\n",
    "ax2.set(xlabel=\"Time / year\", ylabel=\"Density\")\n",
    "ax3.set(ylabel=\"Temperature\", facecolor=\"red\", xlim=(1, 20 * dissipation_time))\n",
    "ax3.tick_params(axis=\"y\", colors=\"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e11105cf",
   "metadata": {},
   "source": [
    "### J-shock\n",
    "Running a j-shock is a simple case of changing function. We'll run a 10 km s $^{-1}$ shock through a gas of density $10^3$ cm $^{-3}$ gas this time. Note that nothing stops us using the intial abundances we produced for the c-shock. UCLCHEM will not check that the initial density matches the density of the `abundLoadFile`. It may not always be a good idea to do this but we should remember the intial abundances really are just a rough approximation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "06841f8d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:07:27.006327Z",
     "iopub.status.busy": "2026-01-23T14:07:27.006146Z",
     "iopub.status.idle": "2026-01-23T14:08:01.349323Z",
     "shell.execute_reply": "2026-01-23T14:08:01.348542Z"
    }
   },
   "outputs": [],
   "source": [
    "param_dict[\"initialDens\"] = 1e3\n",
    "param_dict[\"freefall\"] = False  # lets remember to turn it off this time\n",
    "param_dict[\"reltol\"] = 1e-12\n",
    "\n",
    "shock_vel = 10.0\n",
    "\n",
    "if \"abundSaveFile\" in param_dict:\n",
    "    param_dict.pop(\"abundSaveFile\")\n",
    "param_dict[\"abundLoadFile\"] = \"../examples/test-output/shockstart.dat\"\n",
    "param_dict[\"outputFile\"] = \"../examples/test-output/jshock.dat\"\n",
    "\n",
    "result = uclchem.model.jshock(shock_vel=shock_vel, param_dict=param_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fa4d48c1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:08:01.351276Z",
     "iopub.status.busy": "2026-01-23T14:08:01.351101Z",
     "iopub.status.idle": "2026-01-23T14:08:01.354011Z",
     "shell.execute_reply": "2026-01-23T14:08:01.353271Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\n"
     ]
    }
   ],
   "source": [
    "print(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ecd7c54",
   "metadata": {},
   "source": [
    "This time, we've turned off the freefall option and made reltol a little more stringent. The j-shock ends up running a bit slower but we get no warnings on this run."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "da46ec3e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:08:01.355814Z",
     "iopub.status.busy": "2026-01-23T14:08:01.355650Z",
     "iopub.status.idle": "2026-01-23T14:08:01.469520Z",
     "shell.execute_reply": "2026-01-23T14:08:01.468702Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'H': '0.000%', 'N': '0.000%', 'C': '0.000%', 'O': '0.000%'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phase2_df = uclchem.analysis.read_output_file(param_dict[\"outputFile\"])\n",
    "uclchem.analysis.check_element_conservation(phase2_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c1e0ed6d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-23T14:08:01.471326Z",
     "iopub.status.busy": "2026-01-23T14:08:01.471151Z",
     "iopub.status.idle": "2026-01-23T14:08:02.159245Z",
     "shell.execute_reply": "2026-01-23T14:08:02.158526Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "species = [\"CO\", \"H2O\", \"CH3OH\", \"NH3\", \"$CO\", \"$H2O\", \"$CH3OH\", \"$NH3\"]\n",
    "\n",
    "fig, [ax, ax2] = plt.subplots(1, 2, figsize=(16, 9))\n",
    "ax = uclchem.analysis.plot_species(ax, phase2_df, species)\n",
    "settings = ax.set(\n",
    "    yscale=\"log\",\n",
    "    xlim=(1e-7, 1e6),\n",
    "    ylim=(1e-10, 1e-2),\n",
    "    xlabel=\"Time / years\",\n",
    "    ylabel=\"Fractional Abundance\",\n",
    "    xscale=\"log\",\n",
    ")\n",
    "\n",
    "ax2.plot(phase2_df[\"Time\"], phase2_df[\"Density\"], color=\"black\")\n",
    "ax2.set(xscale=\"log\", yscale=\"log\")\n",
    "ax3 = ax2.twinx()\n",
    "ax3.plot(phase2_df[\"Time\"], phase2_df[\"gasTemp\"], color=\"red\")\n",
    "ax2.set(xlabel=\"Time / year\", ylabel=\"Density\")\n",
    "ax3.set(ylabel=\"Temperature\", facecolor=\"red\", xlim=(1e-7, 1e6))\n",
    "ax3.tick_params(axis=\"y\", colors=\"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa849365",
   "metadata": {},
   "source": [
    "That's everything! We've run various science models using reasonable starting abundances that we produced by running a simple UCLCHEM model beforehand. One benefit of this method is that the abundances are consistent with the network. If we start with arbitrary, perhaps observationally motivated, abundances, it would be possible to initiate the model in a state our network could never produce.\n",
    "\n",
    "However, one should be aware of the limitations of this method. A freefall collapse from low density to high is not really how a molecular cloud forms and so the abundances are only approximately similar to values they'd truly have in a real cloud. Testing whether your results are sensitive to things like the time you run the preliminary for or the exact density is a good way to make sure these approximations are not problematic.\n",
    "\n",
    "Bear in mind that you can use `abundSaveFile` and `abundLoadFile` in the same model run. This lets you chain model runs together. For example, you could run a c-shock from a cloud model as we did here and then a j-shock with the c-shock's abundances as the initial abundances."
   ]
  }
 ],
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