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   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "# Logistic regression: using general fit (for paper)\n",
    "\n",
    "Exploring different fitting techniques and using MLE asymptotic approx of parameter distribution to estimate model CI intervals.\n",
    "\n",
    "Using Logistic regression class and considering full data and trimmed."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e18cec5e",
   "metadata": {},
   "source": [
    "## Common"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3b351af7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy\n",
    "import numdifftools as nd\n",
    "\n",
    "import os\n",
    "\n",
    "# our libs\n",
    "from src import data_utils\n",
    "from src import report_utils\n",
    "from src import logit_gen\n",
    "\n",
    "np.set_printoptions(precision=16)\n",
    "\n",
    "# general width and height\n",
    "width=5\n",
    "height=3.6"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0de7f02-942b-42ff-874c-3c0e2ac1e0dc",
   "metadata": {},
   "source": [
    "## Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3373f87f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "verbose = False\n",
    "\n",
    "results_path = \"./results\"\n",
    "if not os.path.exists(results_path): os.makedirs(results_path)\n",
    "\n",
    "data_path = \"../../data/\"\n",
    "suv_filename = os.path.join(data_path, \"suv_percentilesSLOthenUWM.mat\")\n",
    "flags_filename = os.path.join(data_path,\"flags_combined.mat\")\n",
    "normal_range_filename = os.path.join(data_path, \"normal_range.mat\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "811d990d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Loading all data from mat files\n",
    "\"\"\"\n",
    "suv_dict = scipy.io.loadmat(suv_filename)\n",
    "flags_dict = scipy.io.loadmat(flags_filename)\n",
    "normal_range_dict = scipy.io.loadmat(normal_range_filename)"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "\"\"\"\n",
    "Data preparation\n",
    "\"\"\"\n",
    "# get data\n",
    "perc = 95\n",
    "organ = \"lung\"\n",
    "\n",
    "x0, y0 = data_utils.get_data(organ, perc, suv_dict, flags_dict)\n",
    "\n",
    "# values for trimmed dataset\n",
    "value_to_drop = 2.48    # target value\n",
    "tol = 1e-2              # tolerance: matches 2.481... too\n",
    "drop_mask = (np.abs(x0 - value_to_drop) <= tol)\n",
    "\n",
    "df_data = data_utils.prepare_data(x0, y0, drop_mask)\n",
    "df_data"
   ]
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  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f27d9a03",
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    {
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     "output_type": "stream",
     "text": [
      "Index(['X', 'Y', 'scale', 'dataset'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df_data.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35e9bb7b-5a50-4cae-9af4-261c11453dd4",
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   "source": [
    "## Fit\n",
    "\n",
    "Ref: logistic regression documentation\n",
    "* https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
    "* https://stats.stackexchange.com/questions/186830/what-is-scikit-learns-logisticregression-minimizing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "239ae789",
   "metadata": {
    "tags": []
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       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>beta</th>\n",
       "      <th>cost</th>\n",
       "      <th>cost_jac</th>\n",
       "      <th>|cost_jac|</th>\n",
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       "      <th>|nllf_jac|</th>\n",
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       "      <th>0</th>\n",
       "      <td>log</td>\n",
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       "      <td>TRIM</td>\n",
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       "      <td>2.480642</td>\n",
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       "      <td>7.107145e-08</td>\n",
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       "   scale dataset                                               beta      cost  \\\n",
       "0    log    FULL  [-40.70878307662146, 152.89571590704983, -186....  4.605007   \n",
       "1    log    TRIM  [-318.6165336226459, 1693.3994316668297, -3000...  1.700810   \n",
       "2  plain    FULL  [-123.99215718937076, 163.79359375284037, -71....  4.782070   \n",
       "3  plain    TRIM  [-450.077973159284, 727.8299289144288, -395.52...  2.480642   \n",
       "\n",
       "                                            cost_jac    |cost_jac|      nllf  \\\n",
       "0  [-6.364960495496745e-08, -9.785658353177247e-0...  2.572215e-07  4.602970   \n",
       "1  [-1.4885213918218714e-07, 2.157401222788042e-0...  1.571444e-06  1.592282   \n",
       "2  [1.000636491825524e-07, -1.0832293612537054e-0...  1.005211e-07  4.766501   \n",
       "3  [2.751350610926198e-08, -1.3089893271492273e-0...  7.107145e-08  2.277127   \n",
       "\n",
       "                                            nllf_jac  |nllf_jac|  \\\n",
       "0  [8.135391654828794e-05, -9.785578883636687e-09...    0.000090   \n",
       "1  [0.0006370842151061096, 2.1573130826854855e-08...    0.000659   \n",
       "2  [0.00024808437802792405, -1.0832255836014056e-...    0.000250   \n",
       "3  [0.0009001834598246772, 5.104083875929338e-06,...    0.000902   \n",
       "\n",
       "                                                 cov  ...        AIC  \\\n",
       "0  [[83.89824145686333, -1.4771899341389018e-07, ...  ...  17.205940   \n",
       "1  [[4027.064411828392, 1.6010197270637665e-05, -...  ...  11.184564   \n",
       "2  [[356.4442724598862, -1.5406390078441042e-08, ...  ...  17.533001   \n",
       "3  [[402564.79299068573, -1096.689484705435, -738...  ...  12.554254   \n",
       "\n",
       "         BIC         A      chi2  p-value(chi2)   n  k  dof  \\\n",
       "0  25.447712  0.948276  8.316717            1.0  58  4   54   \n",
       "1  19.356769  0.982456  2.348802            1.0  57  4   53   \n",
       "2  25.774773  0.965517  9.164976            1.0  58  4   54   \n",
       "3  20.726459  0.964912  3.848697            1.0  57  4   53   \n",
       "\n",
       "                                                pars  success  \n",
       "0  [-40.70878307662146, -3.973477028015651e-08, -...     True  \n",
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       "\n",
       "[4 rows x 25 columns]"
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     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# defining two-sided confidence intervals\n",
    "alpha = 0.05   # significance level\n",
    "probs = [alpha/2, 1 - alpha/2]\n",
    "\n",
    "# fits\n",
    "lg = logit_gen.LogisticPolyRegression(3, mono = True, lam = (0, 1e-6))\n",
    "\n",
    "lst = []\n",
    "for (scale, dataset), g in df_data.groupby(['scale', 'dataset']):\n",
    "    \n",
    "    if verbose: print(f\"Fitting: {scale}, {dataset}\")\n",
    "\n",
    "    # data associated to scale and dataset\n",
    "    X, Y = g['X'].to_numpy(), g['Y'].to_numpy()\n",
    "\n",
    "    # fit\n",
    "    res_fit = lg.fit(X, Y, method=\"diff_evol\")\n",
    "    \n",
    "    # calc nllf and beta for fitted pars\n",
    "    res_nllf = lg.get_nllf(X, Y, res_fit['pars'], jac = True)\n",
    "\n",
    "    # cost and jacobian norm\n",
    "    cost = lg.get_cost(X, Y, res_fit['pars'], jac = True)\n",
    "    \n",
    "    # beta of fitted pars\n",
    "    beta = lg.get_beta(res_fit['pars'])\n",
    "    \n",
    "    # covariance matrix of pars\n",
    "    cov = lg.get_cov(X, Y, res_fit['pars'])\n",
    "    \n",
    "    # standard error of pars\n",
    "    pars_SE = lg.get_SE_pars_normal(cov)\n",
    "\n",
    "    # CI of params (assuming asymptotic distr of parameters) : Wald approximation\n",
    "    pars_CI = lg.get_pars_quantiles_normal(probs, res_fit['pars'], cov)\n",
    "    \n",
    "    # goodness of fit\n",
    "    res_gof = lg.goodness_of_fit(X, Y, res_fit['pars'])\n",
    "\n",
    "    lst.append(\n",
    "        {\"scale\": scale, \"dataset\": dataset, \"beta\": beta} | \n",
    "        {\"cost\": cost[0], \"cost_jac\": cost[1], \"|cost_jac|\": np.linalg.norm(cost[1])} |\n",
    "        {\"nllf\": res_nllf[0], \"nllf_jac\": res_nllf[1], \"|nllf_jac|\": np.linalg.norm(res_nllf[1])} | \n",
    "        {\"cov\": cov, \"cov_evals\": np.linalg.eigvals(cov)} |\n",
    "        {\"SE\": pars_SE, \"LCL\": pars_CI[0], \"UCL\": pars_CI[1]} |\n",
    "        res_gof |res_fit)\n",
    "\n",
    "df_fit = pd.DataFrame(lst)\n",
    "df_fit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6aa65982",
   "metadata": {},
   "source": [
    "## Checking stuff"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2851e6d3",
   "metadata": {},
   "source": [
    "Problem: The entries in covariance matrices are quite large.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9de8d697",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking: log, FULL\n",
      "Cost jacobian:\n"
     ]
    },
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.729840e-04</td>\n",
       "      <td>-2.657472e-03</td>\n",
       "      <td>-5.476437e-02</td>\n",
       "      <td>-1.203541</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              0             1             2         3\n",
       "0 -1.262934e-11 -4.262013e-11  8.444033e-07  0.000273\n",
       "1 -4.262013e-11 -1.932726e-09 -1.022167e-05 -0.002657\n",
       "2  8.444033e-07 -1.022167e-05 -9.980539e-04 -0.054764\n",
       "3  2.729840e-04 -2.657472e-03 -5.476437e-02 -1.203541"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scales = df_data[\"scale\"].unique()\n",
    "datasets = df_data[\"dataset\"].unique()\n",
    "\n",
    "for (scale, dataset), g in df_data.groupby(['scale', 'dataset']):\n",
    "    \n",
    "    print(f\"Checking: {scale}, {dataset}\")\n",
    "\n",
    "    # data associated to scale and dataset\n",
    "    X, Y = g['X'].to_numpy(), g['Y'].to_numpy()\n",
    "\n",
    "    # fit\n",
    "    res_fit = df_fit.loc[(df_fit['scale'] == scale) & (df_fit['dataset'] == dataset)].iloc[0]\n",
    "    \n",
    "    pars = res_fit['pars']\n",
    "    \n",
    "    print(\"Cost jacobian:\")\n",
    "    cost_fun = lambda p: lg.get_cost(X, Y, p, jac = False)\n",
    "    display(pd.DataFrame({'cost_jac': res_fit['cost_jac'], 'gradient': nd.Gradient(cost_fun)(pars)}).T)\n",
    "\n",
    "    print(\"nllf jacobian:\")\n",
    "    nllf_fun = lambda p: lg.get_nllf(X, Y, p, jac = False)\n",
    "    display(pd.DataFrame({'nllf_jac': res_fit['nllf_jac'], 'gradient': nd.Gradient(nllf_fun)(pars)}).T)\n",
    "\n",
    "    numH = nd.Hessian(cost_fun)(pars)\n",
    "    directH = lg.get_cost_hessian(X, Y, pars)\n",
    "    print(\"num hess:\")\n",
    "    display(pd.DataFrame(numH))\n",
    "    print(\"direct hess:\")\n",
    "    display(pd.DataFrame(directH))\n",
    "\n",
    "    print('cov via directH:') \n",
    "    display(pd.DataFrame(res_fit['cov']))\n",
    "    print('inv_hess cost:')\n",
    "    display(pd.DataFrame(np.linalg.pinv(numH)))\n",
    "\n",
    "    print('eigenvalues directH:') \n",
    "    display(pd.DataFrame(np.linalg.eigvals(directH)))\n",
    "    print('eigenvalues numH:')\n",
    "    display(pd.DataFrame(np.linalg.eigvals(numH)))\n",
    "\n",
    "    print(\"cond directH:\", np.linalg.cond(directH))\n",
    "    print(\"cond numH:\", np.linalg.cond(numH))\n",
    "\n",
    "    print(\"difference between hessians:\")\n",
    "    display(pd.DataFrame(directH - numH))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2ee2f6e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_cost_plot = report_utils.build_cost_perturbation_data(\n",
    "    df_data=df_data,\n",
    "    df_fit=df_fit,\n",
    "    lg=lg,\n",
    "    scale=\"log\",\n",
    "    perturb_min=-200,\n",
    "    perturb_max=200,\n",
    "    n_grid=400,\n",
    "    verbose=verbose,\n",
    ")\n",
    "\n",
    "report_utils.plot_cost_perturbation_from_dataframe(\n",
    "    df_cost_plot=df_cost_plot,\n",
    "    results_path=results_path,\n",
    "    filename=\"logit_cost_min_paper.pdf\",\n",
    "    verbose=verbose,\n",
    "    width=width,\n",
    "    height=height,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4070360",
   "metadata": {},
   "source": [
    "## Show fit results "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9e51e07c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['scale', 'dataset', 'beta', 'cost', 'cost_jac', '|cost_jac|', 'nllf',\n",
       "       'nllf_jac', '|nllf_jac|', 'cov', 'cov_evals', 'SE', 'LCL', 'UCL', 'LLF',\n",
       "       'AIC', 'BIC', 'A', 'chi2', 'p-value(chi2)', 'n', 'k', 'dof', 'pars',\n",
       "       'success'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fit.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1a0a518b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "scale",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "dataset",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "AIC",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "BIC",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "A",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "n",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "k",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "|cost_jac|",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "dof",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "cost",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "chi2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "p-value(chi2)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "success",
         "rawType": "bool",
         "type": "boolean"
        }
       ],
       "ref": "42fc1f4d-78b1-42e0-81af-50bd051ecee1",
       "rows": [
        [
         "0",
         "log",
         "FULL",
         "17.20594043698525",
         "25.44771247917093",
         "0.9482758620689655",
         "58",
         "4",
         "2.5722146353869504e-07",
         "54",
         "4.60500749717193",
         "8.316716999280333",
         "0.9999999999999134",
         "True"
        ],
        [
         "1",
         "log",
         "TRIM",
         "11.184564221083724",
         "19.356769292421923",
         "0.9824561403508771",
         "57",
         "4",
         "1.5714444281012381e-06",
         "53",
         "1.7008095130731247",
         "2.348802297094817",
         "1.0",
         "True"
        ],
        [
         "2",
         "plain",
         "FULL",
         "17.533001101479456",
         "25.774773143665136",
         "0.9655172413793104",
         "58",
         "4",
         "1.0052107376962366e-07",
         "54",
         "4.782069565523198",
         "9.164975726776172",
         "0.9999999999992063",
         "True"
        ],
        [
         "3",
         "plain",
         "TRIM",
         "12.554253665170638",
         "20.72645873650884",
         "0.9649122807017544",
         "57",
         "4",
         "7.107145200666418e-08",
         "53",
         "2.4806417333409785",
         "3.8486973980002404",
         "1.0",
         "True"
        ]
       ],
       "shape": {
        "columns": 13,
        "rows": 4
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>AIC</th>\n",
       "      <th>BIC</th>\n",
       "      <th>A</th>\n",
       "      <th>n</th>\n",
       "      <th>k</th>\n",
       "      <th>|cost_jac|</th>\n",
       "      <th>dof</th>\n",
       "      <th>cost</th>\n",
       "      <th>chi2</th>\n",
       "      <th>p-value(chi2)</th>\n",
       "      <th>success</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>log</td>\n",
       "      <td>FULL</td>\n",
       "      <td>17.205940</td>\n",
       "      <td>25.447712</td>\n",
       "      <td>0.948276</td>\n",
       "      <td>58</td>\n",
       "      <td>4</td>\n",
       "      <td>2.572215e-07</td>\n",
       "      <td>54</td>\n",
       "      <td>4.605007</td>\n",
       "      <td>8.316717</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>log</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>11.184564</td>\n",
       "      <td>19.356769</td>\n",
       "      <td>0.982456</td>\n",
       "      <td>57</td>\n",
       "      <td>4</td>\n",
       "      <td>1.571444e-06</td>\n",
       "      <td>53</td>\n",
       "      <td>1.700810</td>\n",
       "      <td>2.348802</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>17.533001</td>\n",
       "      <td>25.774773</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>58</td>\n",
       "      <td>4</td>\n",
       "      <td>1.005211e-07</td>\n",
       "      <td>54</td>\n",
       "      <td>4.782070</td>\n",
       "      <td>9.164976</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>12.554254</td>\n",
       "      <td>20.726459</td>\n",
       "      <td>0.964912</td>\n",
       "      <td>57</td>\n",
       "      <td>4</td>\n",
       "      <td>7.107145e-08</td>\n",
       "      <td>53</td>\n",
       "      <td>2.480642</td>\n",
       "      <td>3.848697</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   scale dataset        AIC        BIC         A   n  k    |cost_jac|  dof  \\\n",
       "0    log    FULL  17.205940  25.447712  0.948276  58  4  2.572215e-07   54   \n",
       "1    log    TRIM  11.184564  19.356769  0.982456  57  4  1.571444e-06   53   \n",
       "2  plain    FULL  17.533001  25.774773  0.965517  58  4  1.005211e-07   54   \n",
       "3  plain    TRIM  12.554254  20.726459  0.964912  57  4  7.107145e-08   53   \n",
       "\n",
       "       cost      chi2  p-value(chi2)  success  \n",
       "0  4.605007  8.316717            1.0     True  \n",
       "1  1.700810  2.348802            1.0     True  \n",
       "2  4.782070  9.164976            1.0     True  \n",
       "3  2.480642  3.848697            1.0     True  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# goodness of fit measures\n",
    "df_fit[['scale', 'dataset', 'AIC', 'BIC', 'A', 'n', 'k', '|cost_jac|', 'dof', 'cost','chi2', \"p-value(chi2)\", 'success']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "96acc3ab",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>idx</th>\n",
       "      <th>beta</th>\n",
       "      <th>pars</th>\n",
       "      <th>SE</th>\n",
       "      <th>LCL</th>\n",
       "      <th>UCL</th>\n",
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       "  </thead>\n",
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       "      <td>-318.616534</td>\n",
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       "    </tr>\n",
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       "</div>"
      ],
      "text/plain": [
       "    scale dataset idx         beta        pars          SE          LCL  \\\n",
       "0     log    FULL   0   -40.708783  -40.708783    9.159598   -58.661266   \n",
       "1     log    FULL   1   152.895716        -0.0    2.015071    -3.949466   \n",
       "2     log    FULL   2  -186.372032  -15.072423    2.088266    -19.16535   \n",
       "3     log    FULL   3    75.725981   12.365101    1.282418     9.851608   \n",
       "4     log    TRIM   0  -318.616534 -318.616534   63.459155  -442.994193   \n",
       "5     log    TRIM   1  1693.399432         0.0    4.519666    -8.858382   \n",
       "6     log    TRIM   2 -3000.777291   72.921242    6.604803    59.976066   \n",
       "7     log    TRIM   3  1772.502534  -41.150935    3.342194   -47.701514   \n",
       "8   plain    FULL   0  -123.992157 -123.992157   18.879732  -160.995752   \n",
       "9   plain    FULL   1   163.793594        -0.0    1.320492    -2.588117   \n",
       "10  plain    FULL   2   -71.447988   -5.582665    0.473537    -6.510779   \n",
       "11  plain    FULL   3    10.388715   12.798187    0.888696    11.056375   \n",
       "12  plain    TRIM   0  -450.077973 -450.077973  634.479939 -1693.635803   \n",
       "13  plain    TRIM   1   727.829929   -2.558587    2.354096    -7.172531   \n",
       "14  plain    TRIM   2  -395.522946   14.727149   11.787616    -8.376155   \n",
       "15  plain    TRIM   3    72.296301  -26.856723     20.3718   -66.784718   \n",
       "\n",
       "           UCL  \n",
       "0     -22.7563  \n",
       "1     3.949466  \n",
       "2   -10.979497  \n",
       "3    14.878593  \n",
       "4  -194.238874  \n",
       "5     8.858383  \n",
       "6    85.866419  \n",
       "7   -34.600356  \n",
       "8   -86.988563  \n",
       "9     2.588117  \n",
       "10    -4.65455  \n",
       "11   14.539999  \n",
       "12  793.479856  \n",
       "13    2.055357  \n",
       "14   37.830452  \n",
       "15   13.071272  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# table of parameters and their CI (Wald approximation)\n",
    "df_pars = df_fit[[\"scale\", \"dataset\", \"beta\", \"pars\", \"SE\", \"LCL\", \"UCL\"]].copy()\n",
    "\n",
    "# add index column for exploding\n",
    "indices = df_pars[\"pars\"].apply(lambda x: list(range(len(x))))\n",
    "df_pars.insert(2, \"idx\", indices)\n",
    "\n",
    "# convert to long format by exploding the pars, SE, LCL, UCL, beta columns\n",
    "cols = [\"idx\", \"beta\", \"pars\", \"SE\", \"LCL\", \"UCL\"]\n",
    "df_pars_long = df_pars.explode(cols, ignore_index=True)\n",
    "df_pars_long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5f940ec5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x axis labels for plots\n",
    "xlabs = {\"plain\": r\"$X$\", \"log\": r\"$\\log(X)$\"}\n",
    "\n",
    "# set index for easier access to fit parameters\n",
    "df_fit_index = df_fit.set_index([\"scale\", \"dataset\"])\n",
    "\n",
    "df_points, df_fit_plot = report_utils.build_plot_data_basic(\n",
    "    df_data=df_data,\n",
    "    df_fit_index=df_fit_index,\n",
    "    lg=lg,\n",
    "    n_grid=100,\n",
    "    verbose=verbose,\n",
    ")\n",
    "\n",
    "report_utils.plot_from_dataframes_basic(\n",
    "    df_points=df_points,\n",
    "    df_fit_plot=df_fit_plot,\n",
    "    xlabs=xlabs,\n",
    "    results_path=results_path,\n",
    "    filename=\"logit_fit_paper.pdf\",\n",
    "    width=width,\n",
    "    height=height,\n",
    "    jitter_y=0.02,\n",
    "    alpha_full=0.50,\n",
    "    alpha_trim=0.50,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3c493876",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "0",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "1",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "3",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "ref": "bb92164f-6b5a-4763-88be-c53250d9bca9",
       "rows": [
        [
         "0",
         "402564.79299068573",
         "-1096.689484705435",
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   "outputs": [
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",
      "text/plain": [
       "<Figure size 1000x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# plotting data and fits + simple confidence intervals\n",
    "#\n",
    "\n",
    "alpha = 0.05\n",
    "\n",
    "df_points, df_fit_plot, df_ci_plot = report_utils.build_plot_data(\n",
    "    df_data=df_data,\n",
    "    df_fit_index=df_fit_index,\n",
    "    alpha=alpha,\n",
    "    lg=lg,\n",
    "    n_grid=100,\n",
    "    verbose=verbose,\n",
    ")\n",
    "\n",
    "report_utils.plot_from_dataframes(\n",
    "    df_points=df_points,\n",
    "    df_fit_plot=df_fit_plot,\n",
    "    df_ci_plot=df_ci_plot,\n",
    "    xlabs=xlabs,\n",
    "    results_path=results_path,\n",
    "    filename=\"logit_fit_CI_simple_paper.pdf\",\n",
    "    verbose=verbose,\n",
    "    width=width,\n",
    "    height=height,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67fa2c6c",
   "metadata": {},
   "source": [
    "##  Model CI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e14807ae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading existing file.\n"
     ]
    }
   ],
   "source": [
    "alpha = 0.05\n",
    "\n",
    "#\n",
    "# prepare boostrapped parameters\n",
    "#\n",
    "boots_pars_results = report_utils.load_or_build_bootstrap_pars(\n",
    "    df_data=df_data,\n",
    "    lg=lg,\n",
    "    results_path=results_path,\n",
    "    filename=\"boots_pars_results.pkl\",\n",
    "    n_boots=10000,\n",
    "    methods=(\"normal\", \"nonparam_boots\", \"nonparam_stratified_boots\", \"parametric_boots\"),\n",
    "    verbose=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a4e59847",
   "metadata": {},
   "outputs": [],
   "source": [
    "#\n",
    "# computing set of confidence intervals\n",
    "#\n",
    "\n",
    "df_points, df_fit_plot, df_ci_plot = report_utils.build_plot_data_full_ci(\n",
    "    df_data=df_data,\n",
    "    df_fit_index=df_fit_index,\n",
    "    lg=lg,\n",
    "    alpha=alpha,\n",
    "    boots_pars_results=boots_pars_results,\n",
    "    n_grid=100,\n",
    "    analytic_methods=(\"normal\", \"delta\"),\n",
    "    bootstrap_methods=(\"nonparam_boots\", \"parametric_boots\"),\n",
    "    verbose=verbose,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "966abde9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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st5NjkSHU8h95/zPOWVUZ8ktjMJeoV+20WpHtCbiiinHFRhx1PuVweQEM4FJCwFj52VQhL7hIIPeoHqw4seIE9p57Hkp0AnQCOpVBLwX00mHHmir+DpcXlLB4Fl0Vz6KjZAPvYXKp33Hl/7jivuhyWEf89zcmoQDFUVGHbVOvxQekd+x41PZDrxVv4/SAXj1H5WkitPgitOT897urOKcM6hgeevj2ih9b/OHnCKE6CuOjj9rmQ0deSPXnq8IsoU6TtHC4bNE6FKCIaNxlxiObt+B4LClB5MchSVKdCfC6devGtGnTuK9yxReYM2cOU6ZMwW63V6vMV2cJaNeuHSUlJYSFHa1kCAStDocDDr/3r74aZs5U34eEQMeOEBMD0dEQFQU33KBuB9i4EXJzQa8HrRZ0OvVPklRLRd++6meAXWu4ea2BNx46B12JlzN3rSAhr4iQDU765ewnpp8HBSeO9mexs8CEp9BJZJibULM6bHi8kF1gQSMpRPWLQtEbSHZ4sG8vwpVlIyrchStRy35NCfdkPY63OJkBpv5cMvw87FqwecvI25+LtlBDZ5OOroq6Ur/PdZCM3GgKYyMI7SYhG9WHqivbhy/Pg8XsJMRaYZ2Vwb1bT5zHQsrAGHzWEHK1bvZkHYS9u0nRlhIe6gRJS45UTnZhkvo1JhUgGVzEltlwK2NwZ+mxmJ04OxmRNRJ4HRTsL8EiWYnroEcJ1eNRvGTnl6Hk6unhstFZ2gUxI8iS7OwqiqLYasXSHghTB2FPoYwnw43R4CEs4pAlRLNdweINJblHLFJ8GFkmDfsLsvCme0gyRRATqV5boa+IrAIDXq8WS7KC0aojwmHHXSzj3ukEswJdDg1QxYVWtL4QEtpFIsWHISsyWYXpuPe66GUz0iVanYwX+ArY5AijVBeKOV5GilMHfa9Dwb3bhVYrExWtTnD0Xh/avT4Ut5X2qbFIHaPICDWTWZKOa6eDWF0ESXGqCaLUV0ZmsYLLZcAULRMeJWFxu/G6wLnBjjPEgKmTu0reslILXpeF5LhoNKkRAOTYMrFvLad7rgIly9i4YjHb920kr+sgvLpYPFIhhdoCtQNFQ7yvsyqndjeSpKAtLECbI6HTpqDT2ykJ16Pt2gVfqEJRvB5bmJO+BU5OSAulOETHxkgTe6xuwiUbI/bMIcLmxuoGe2FvnHFJRETkY5I9HAyPZnt4TzzOcBI8Xu5atxSnwciBcC2bPVFEHyxgkCebSEXDhpREfh04iGKvEYPWTpKyH58kIUsSpUonHNGxyMl67DHhuCQZW0gs8b/+S/vN22mXUMpdF/WnXUI4uEvAXQD9HmuwJaC0tJTw8PBmGx/FeNzCrFkDQ4Yc+hwfDz16HBoPxo07tL+0VB0PKscCjUZ9rRwL4uLUPwCnU7XwVyIdrligjjOxFVY8txv27TtaNkcOpH0JUbH4ouPZlxvNP+s74S10sOWSdnw7bgS5YREAGN0+ehwsZVJRMRPt6gQ6K13CnpmFrYuOcJ0bnazgdkvkF5rQa2TiUjW4otWFuKwcDwsXPM9CzedgLsIkGZkQdyMxztFoNQrhyS6cEarCUlZoQptRTKxVIclqxuzxElZQzrosBxpJoU+PWPZ2Vp8j6TmleNNzCDUVYPZuBEB22SgoSUaSNHQ2bMAXogXZS2lxODZXKuZoidTkPqALRZYlNmWrz++eiQpObRpozeQUSljWH8BqKiXMWgxARnQC+QUxENKeqCQPzjj1+7WXGVAO2gjXe+gYaSHC7iTc6WLFASeyItOxaxh53dVEXLlF5ZSl5WHRlWMNO7SwU5AXgaxI9FD24eqQVNVvbpEWi9FLl6hDyvy2HDdun0znaB1yp07qsXmleNbvI4RSoqJLcen0FISHU1gQjs+nISKiDHdKDEgSLocOd7oHi2KnR0wICSXlGH0+Nma6sHl8xHS04urZHUWjpbjcSf7eHIw+G5FRh5Si4kIrOKCTkoGnYwyKTofDqSOjNASDx0bvWAtSxT25p8BDuctHcoQGU4f2yHo9usJS8tYfwOQqIz6+kDKzhVKzmd3bizmwJ4OSgk0ccGWrCq9iIMTXHis+Qkp2Y968Vb3mkHZ4jOHQKZS+kpPpLhmLpOX53h34sZcMUXuq5NUVJ6DP0RLi2kOktojeeeUo+hgKTceDxwLFXQkrbM9JsT+wIroD2ywG9m4+n+J2feDjo386lWhdTrQ2J3KhBv0MJz2NP5LSbiW2ogRyug/ggGYU4YUuRiUspEgxki1JFMhdkMujaBeaQXxoFvm5DkK27SEjexBarYfePX9hX6fhKPkKjoJInK5wosP3YUoppNSTgtap4ChJIULWM8a7kHIn7NAYsNkjUKztiYpx0cW9i93lWlxOG2W2BJwpYcRG7cSFGZsvCo/DiCmzlFBzHtawLOwlcTgiYtHmWGhf6qVTWBrFOiMbQqIoCY3AooQTI7mICCkmP8+FXJCNwxmGXucmJD6XkqgEfBngc+tR9BrMuhKUFAmbMxadEzRuC3GKjl5FO3HqJDZKodhlDcbYJGK9HlK8Bzng0FPqLMOpCcEdZ8ViLkTRQbEnAWwyJlsxRo2dkNA8yl1xuAyRWNP2kepQSNAXIms9eMnjgpP70K9bfIuOx61OmR87diyDBg3ilVdeqdr20Ucfcdttt1FSUlJju8Np7smKQNBilJfD00/DW2/B33/DgAGqxWTePNW1sW9f6NRJnZA1BYrMWf+6+emafiSsKuHjXZ8dud+ZqcYOJU4+enJXDz7e8xyz9r9B+5DuXNThHjpb+zZScD9QZMhdCEUbABl0oRzy11fAVw6SFiL6Qdy46uMd8/4FeyYYj7YK4MoFSzLEjhHxjk3Igd07WPzXr6xa+BdlJUXVHmM0mUlM7Uh8cioJKe2JT04lMiaOsMgoQsLDWWdbwOK8n9lbvoXnBv1KohJOytatrEj7ioMlW7hoST7Hpcvsu+A6dt74AGh1GMqLGXdKX5yJqdjbd8bevjPOpPa44pNwxidj79QdZ1K7GuVWAKekrq9U4gZeioUCLRTqIF8Lrhpuldu2LeX0gzvpE5ZLrNmu3qOlWyFqEPS6p8H3WEuPj2I8bmZcLjjjDHUsGDMGundv1LO5SVFk2P0eV78wibTCDlx70hIGdMzg5WEn8M5g1fU/1l7O6dkeTs6xY/XKdXRYM7PS3uDjvc8BcFzMyZzd7iaijNV53DSQqud/Bvgc4Ck9NIZUjh/6MNCawZJS/TggxpCAUJCbzeI/f2HJX79QmFe9B0nlGNIzIYmz3W6Oy89l5YTJ/NS7nPkl33Alk3ntIdVlfkvPFO4bL9Pb0IX2kX1JSToOc79JeGOO/p/aJPgnD974EzgJxvSA5zxgNMKinyEtBz6+CfrroQ/QyQfxNuhthq56qvGXELQYigxbn1GT3R2e4wJafDxudW72I0aMYM6cOUdsmzt3LiNGjAiQRAJBgHA64dRTYeFC9fO776oxjbKsKvUDBjT9OSUNQ08x8hPQ27JHnbRojCC7wFOkTl4iBzZqsuiR3fyZ9TUAk5OmtYwiD+rDNrw3OLLBflCtD6yt8HbwOdQHtyVRPaa6B7OkUR/o7mJ10qUPB0kPiketN6yzQFhPMQlrItL37uKnT95mw4r/OhCCJTSM7v0G0a3vQLr2GUi7Tl3Rao8e7naVbeDtvfdy0L4LAA1arB/fywWzd6J1uxh32LGOhBR8UTGQlAwaDW4lgb+3OlD0+hplVIBCLaTr1b8sPWTrIEsHOXqI8sIHGYeO1wNLLeA+7BaRFIjzQooH2nkg1lFERO4qRh9cS7JDxhziVS0AjoNqFt2UM8U9dizjdsP998Odd0JkJGRkwGuvBVqq6pE0kHAiS3f1YVtGCpeO/Zf0UCsf9j8OgGtXzeW04gj0pupcYOvHee1voHf4MNJsaQyMGld3g/py+PPf5wZJp+YDqBwDJB2gVV1vaxoHxBjSohTkZPH9R2+yauFfRyWbM5otdO87iB4DhtK3d3+Oy86k6/zfabfkHzQ+NfafAUOYHRWDrbCEzSk+ln6zEHuPgfhCrfzvP+eqdGl3OuDz32D38VDSD9IMoHQAhqr71yvQXVIjIQZepG576fCOtFBN1KIgEEgatfycLV1V3M0p6u/ba2vx8Tjgynx5eTm7d++u+rxv3z7Wr19PVFQUqamp3HfffWRkZPDpp58CcP311/PGG29w9913c+WVVzJ//ny++eYbfvvtt0BdgkDQ8ni9cOGFqiIfFgZPPgkTJ6qKfDOTY1FXl2Mk1IeWUqxOOELaq4q8ObFR/S/L+5Midx4R+hgGRDbDpKs2THGQMAEKVoFt76FYJ51FrRMcPbQiQ3Et7WNGqg92Z66avVijU60pYT1rbyvwi+z0NH7+/D1WLZx7xHad3sCAEWM5bvxk+gwZiU5X8/BW6inkuwOvszRvNgChunDOS72BifFnc/brp6J1u3AkpVJ43PEUjhhP4XHH40xuf2QnklSjIj8/BH4Og3QD2GsZx2UdRPlAr6iDsU6Bh/IgRFYV+DgvJHrBcMQ8MxI8nUHZC569UJYFVkm1AKScKepQH8vYbHDOOfDnn7BgAXz5ZaAlqhtrZ954MIPdW5bSLXY3jw07D7dOz6CsdM4qCkcyN16RB9BKWjpZ+xJpbF/3wQ3l8Oe/LR3chRV1pw2gj4TQ1LrHATGGNDsOWzlzvv6YuT9+hddzKIxL0mjoO3QkY08+kz5DR2H0eenzw5f0efBWTGWq5+8fXcAU3QXLiPPIHHcyZ3XpQteEIYzrMJUyTe0q1R4DvOqCndM5Iny8IzAKGA+cLB0dnS4IYsJ7QvdbDtWZd2So1Y9aeDwOuDK/evVqTjjhhKrP06dPB+Dyyy/n448/JisriwMHDlTt79ixI7/99hu33347r776KikpKXzwwQdBX5buyiuv5KOPPiIqKorMzEyMRmPdjQSC6lAUNeb9p59UX6y33oKhQ1vs9NkVSlKkoSOknAGyEzQmMEY3ifvm7IzPARgTfwa6OgbHZsEUB0mTVWunqyIljTEODOH+rbCa4tQVWU8J+FygNVZYWIQ1pTF4vV5+++pDfvvqQ2TZV7U9MiaOU6ZewfDxk7GEhNbSg8rm4qW8v/NBbLK6UHP5FjNTrp5HWGQqmM1seeZ9nEkdKO/Rt8772SHBarNqMe/gOWy7BnZU5CLSKKpVvaNbPaa9G1K8kOKGZC+Y/hPodr4/0WLWzsiWjnz3ZQm3XZcJESEQkirusVpIS0uj4xFJmVQsFgudO3fmnHPO4Y477iA0tO57KGi54w5VkbdY4MYbAy2N34wfH8ngIZGsK+jMvC4D0SgKV2fqkBq5MPxfnD5X3Qc1lsrnf0QJeJ2guEAygs7k/zggxpBmQVEUlsz9le9nvnFESFZoeAQTTp/KqEmnERUbf8TxPeb8gKmshKLEBKZfkMjH4etIDIVnJ91MbEgCZklifKeLaz2vzwvrrPDgYetSfdLhwSQYp6XaVG+CVkR4T7X8nO2AagDSWVt8PA6qmPmWoqVj9MrKykhMTMRut6MoCrNmzWLq1KnNfl5BG+WBB+Cpp9SERK+/rlrkW4gN2w1M7JBCfj8d923LZ1y+o+5G9eCAbRfXrpiABg3PDPyZKKMY5gSQk3GAD557mH07tlRts4ZHcsoFV3D8lHPQG/xbHF2772vey34Rr6QwIAve+g0Gl0Wy6ot5lPca6Lc860yq5X2tWXWJP6MEbisAkwxGRXWt32iG7i5I9fzXsl5/Nm2CL75Qc4rdffeh7ddfD7/+eiiXZVPQVmPmK5X5zp07c8kllwDqZD0vL4/ff/+dtLQ0jjvuOBYvXoy2qXKMtCSlpZCYqGar/+CDQ+XmWgmFxRryi7QcMOv4PT6ESbnVVGFpIDM2Xk2kIY7jE6YSZRBjyrGI027j09eeZuWCP6u26fR6Jp55IadcMA1LSCiSz0eHJfPZN3pCRfJHDR1WLCJXKuah0F/YU7QWgCndrue6oS9j0B5dReZwPG74+EXYuxVmfAo3tIeRGnhQgn7NerWCtkKbjZlvjXz99dfYbDamT5/OK6+8wsyZM4UyL2gYPh9s26a+f/zxFlXkAdZsNpH/qo5OE9x0n+iuu0E9mZPxBQADosYKRV6Aoij8+/uPfP3uy7hdagZ8jUbLKVMv5+TzL8dk9i/9j7kgn43z7+OtdutBgos2wis7+5N98y0sPO1CZNPRVVCqI0MH70fB8sOU52QPdHZDkvfQthAvtGtgNZoVK2DlSpgyRc1dCVBUBD/+qH5+4gkwmVSnnOuuU42wAv/p0qULjz766BHbXC4XI0aMYPny5SxcuJDx48cHRrjG8NVXqiLfrRuMHh1oafymtFzDig0m9HqFpFgvkR5fkyry+a5sluX/hYTE+ITaLaiCtkn63l288+S95GQc8vIdMmYi51x1E7EJyQBE797ByNefJm7HFhbf9gA7zrsUQiz8O7obLy65CFtRMRZ9GLePnMmY9ufWec69etCmwezPweUA11bY1Qn8G2kEgvohlPkWYObMmeh0Ou6++242bNjAvHnz2L9/P+3bN2PslqBtotXCrFmqmW7UqBY//ciBDl4uz8XthASXr+4G9cDpc/B39ncAjI07q0n7FrQ+vF4vn7zyBMv+PpQPJT45lavumkGnHn387kdRFH448Drft1sPwHV7Eph21mesHTnB77CQMg3MilCt8V4JtAqcXwwXlEB39xHVaOuFzQZ79kC/w8w0778PixapVvg+fVTFffJk1SFn9GhIOGyNS6wJNw1Go5ETTjiBdevWkZ+fH2hxGsb776uv554bPNnq/WDrbgOTrkyhXaKHvz46SJG+ab0iwvVRPNH/UzYVryHCENOkfQuCn0V//MyXbz2Px62GWJgtIVx++0MMGTMBAJ3DzuBP36HXz1+jkWXcIaHIYeEQYiGzbBcvLb0Em6eYzlGDeGjcdyRYjw7V+S9/hMJrMXCpBR59AbonwVmnNutlCo5xhDLfzGzdupXly5dzyimnEB8fz2WXXca8efP46KOPjrIOCAR+UVYWEEUeoEdnD107FLM200ghTRsPtDDnF8q9pcSb2tEr/Lgm7VvQunA67Lz9xD1sWbO8atu4U87m/Gtvw+inFd1YUowrPIItJcv43qVWQLk+ahpnXPIBxRr/7t08rVoqbqMJfBX60SgbPJCnWuMbw86dcNZZoNPBqlWqhd1igTPPhJQU1Us6JeXQ8U880bjzCWrG7XazYMECJEliQHNUAWlu1q1T68kbDHDaaYGWpl4oCqTc4SGmzEeRXlP1O2sq9BoDg6OOJ8nSC/nYiyo9ZlEUhV+/+IBfPn+valtq5+5c98DTxFeUDLVmHWTijDuJSlPrwe+ZdCor7noER2w8ebb9vLTkIsrdhXSOGsRzk/4hxFB3GNDiPHi9PcgS2Kxwz40NX+wVCPxFKPPNzMyZMwG49NJLATj77LO58cYb+eijj3j44YfR+DmpFAj49FOYNEl1pQwgbo/U5BMugNkZas36sXFnoRGJfo5ZSosLee2h20jbpYaT6PQGrr77sSpLSl3o7TaGfPgGXeb/zg/vzKJPxxO5KewDtBqZyd2uqZcs4TJsM6qKfDcX3JkH4xrw8ysvh3nzQK+HU05Rt3XtCvHxqrONJB1yqa/IAStoJnbv3l21kK4oCvn5+fz5559kZGTw3HPP0a1bt8AK2BA6dlTLz+3cqbp0tCJGDHQydrKDL8PC+H5HKCfmNv345lLcQpE/hlAUhe9mvs6f331Wte34U89h6rW3V+VXSdywmvFP3IuprARbdCyLHn+JjJFq9ZwiRzYvLrmIYmcO7cJ68vTEv/xS5LPL4OkE8Gng+GL4JkIo8oKWQSjzzYjH4+Gzzz4jLCyMM888E4DQ0FDOOussPv/8c/7++28mTZoUWCEFrYNt2+Dyy1Wf23//hfDwFhfB4ZT4aW8Iy/qZidT5GFnQdMnvdpdtZlfZRnSSnpGxwh/tWCUv6yAvP3ALuZnpAFhCrdz06It06+NfcrroXdsY/9R9hGWpxdtTN61mR/+BnJR4KXqNocZ2ZRqYY4UlIfBiJhgAiwxxMjyfBV3d0NFTY/M6+f13ePBBNZz53HPVapKhobB5M0RENLxfQf3Zs2cPM2bMOGr7qaeeysQWzkHSZEREqAkU0tICLUmDKK0wanibODxgef5cNhWvZHDUROJMHZq0b0FwIssyX731PP/M/q5q2/nX3s6ksy868jitDr3DRm6vfsx75QPscWr8Urm7iJeWXkS+PZ340I48M2keYaboOs+rAK/Fgy8etAdgZqhQ5AUthzB/NSM///wzeXl5nHfeeZhMh7JeXnbZZcAhq71AUCdvv62+jhsXEEUeYPNOAxd9lMTrnSL5NsXapH2H6SO5oP3NTEq8CKteVFk9FinMy+H5e26oUuQjY+K454X3/FPkFYWev3zDadOvIiwrg+zkeE58ZgxLzj6FCFNEjYp8nhbejYJL2sFHUbDTqGaoT/FAnA9CFJhkq58iv28fPPMMLF16aNvpp0OvXnD++ao1PixMTZYsFPmW56STTkJRlKq//Px8fv75ZzZv3syoUaNYsWJFoEVsGCX+1DQMTiqV+RCf3KT9zs36ju8PvMuyvD+atF9BcCL7fHz88uNVirwkSVx6y31HKfIAOf0H8efrHzPno++qFHlFUfh47V1kle0m2pzEc5P+IdriX3nEX62wNh50CsySoVPrcpARtHKEZb4ZqVTWK5X3SiZMmEBycjI///wzhYWFRLUytzhBC1NeDp98or4PYMarknIt0T29FKAj0t20k644UzKXdryDLGdek/YraB2Ul5XwygM3U5ibDUBiakdue+I1ouPqrmhgKC9j9MuP03HJPwCkjTuRaReHsSDze3avuJq3T9twVJsMneoCOS9UTWgHqhv9lYUwpbxxA+PXX8NHH8GBA6oSb7Wq7vVbttTdVtDyREdHc/rpp2OxWDjxxBN58MEHmTt3bqDF8p///Q8GDoThw9USB62MJ96KYt0NRugOZl/TucK7fE5WFywAYEDU8U3WryA4URSFr95+gaVzZwMgaTRceccjjJhwSuUBDPz8PfYefxIlHbtAZCRZI8Ye0cfSA9+xPvsvtJKexyb8Rnyof0mqd+rh/Qrj/TMKnNuhqa5KIPAPocw3E+np6fz1118AjBs3rsbjPv/8c2655ZaWEkvQGvniC7WGcOfOMGJEwMSYONLOzacW8ygxRHqaNpM9gEN2NnmfguDH5XTy+sO3k3lgHwCxicnc+cxbhEf5l3l64Bfv03HJP/h0Olbe9gBbL76SSfb97Hfs4X/DXkc6zHW3QAufRsLcUDVBEcBgO9xYCKPs9XeLLChQi0ucdhqkpqqx71dcAVlZcPPNrS58+Zhm+PDhAKxatSrAktSD7dvhrbdUN48FC1S3j1bGmi0myrRqBntLE1rm1xb+i0t2EGNMJNXSvcn6FQQnf33/eZVFXqvVcu19TzF4dEWJSUVh2Aev0vf7L+j+x098/9NCPNqjHZP7J05kcM4p9E8YR+eoAX6d90AJTI9RF4Wn+GB60xZjEAj8QijzzcTHH3+MLMuMHj2a7t2PHki8Xi+ffPIJM2fOFMq8oGYUBd58U30/dao6aQsg2Vr1kRHhbjplfnHuHLSSjtSQfogos2MLr9fLO0/ey55tmwAIi4zi9iff8FuRB1g17SYMLgfbLrqK/D79AUgM7cxrp6xArz3kXv9XKLwZDa6Kn9AYG9xYAIMasYb0wAPwzz/qWtsLL6gRMF27wtixdbcVBBdFRUWAGnPbaqgM1Rs/vlUq8gD3XlvI/EQzpWgxe5vOMr8sXzWmDIwad8SCnqDtsfrfv/n2g9eqPl9++0NHKPKDP3mbvt9/AcC6G+7EY60+TDDUEMkDY7/BpPe/GvzDWvCmgOEAfJwsZjCCwCCU+WZAURQ++ugjJEnik08+oVNlmuL/sHPnTpYtW8bq1asZMmRIC0spaBUsWQKbNoHZrNasCjCZGvWR0VSWeUVR+Hjv8xy07+GaLo8zPObkJulXEPwoisInrzzBplVLALX+721PvEZcUkodLcGamU5ZQjJoNMjRUSx6Sp3IFdgziLYkE24KP0KRB4j3qop8Pwfcl9c4Jb6SK65QK0VOmQLRdedIEgQxL730EgBjW9NKzK+/qq9BMDY0lOH9nbjNqgrUlJb59UVq0ore4SObrE9B8LFrywY+eP6Rqs9nXHotIydOqfo84KsPGTDrIwCW3vMYO849On7+QPFm2oX3JtQQisUQUq/z322BxzPh1XyISW3gRQgEjUQo883A/Pnz2bdvH+PGjatRkQeYNm0ay5YtY+bMmUKZF1TP1q1qBvvTTw9Y4jsAu0Ni5AXtSP9eD+EQ0UQx8x7FzZCocXhlD/0iRjdJn4LWwdwfv2LZ378Bavm5mx59kdTOdbvDJq1dwcTH7mL7KWex8s5HwKJaUXbkL+fFJRcyodMVTB/5Pm4JDBWGPg1wvA0+S4ehjoZbTwoK1IThgwdDbCxcein8JyWKIMg5vDQdQGFhIUuWLGHt2rVERkby7LPPBk64+uDzwd696vvevQMrSyPwAM6qBHhNY5nPdqST6zyIVtLRxdq/SfoUBB85GQd449E78HrcAIw88VROvejqqv2d5//O4E/fAWDF7Q+y7cIrjupjZ/4Knl98PkOTT+Oh47+ttwwDJDgQCaFJDbsGgaApEMp8M1CZ+O6KK66o9bipU6dy66238tVXX/HSSy9hNvvv2iM4Rrj2WtXsVzlpCxDb9xrYsN2ExqJOtqKayM3eoDFyfbdHOSf1FlxyI2p/CVoVOzau4bvD3CKvvvsxuvcbXGe7pLUrmPTI7Wg9HqLS09DotciAT/by1cZHkBUfWo2WX8MkvoqAl7KgsweivepgN6wR1RTLy+Hqq2H3bvj004DmohQ0gv+WpjMajaSkpHDDDTdw7733kpraSsxrGRng8ajZFVupi70sw8+rQ6Cb+tncRJb5jcXLAegY2guT1tIkfQqCC5fTwZuP3YWtTK3i0GvQcC679YGqkIrY7ZsZ/fITAGy87Fo2X35ttf2kFW9EI2kJM0Ud5c1VEwpQUqB6Y3W1QKiYugsCjFDmm4Evv/ySL7/8ss7jwsLCsNvtLSCRoFVjNgd8stY51cMv72RwTlISMk3nZg8gywpuRSjyxwqFeTm889T9yLJ6D50y9QqGjJlQZ7u4rRuYOONOtB4PaeNO5J/n30LWq5OvhWlfcLB0GxZrKhmnv84foWqb+aEwsokKJOh0kJAAOTlq8nBB66JDhw4oStPFZAecPXvU19RU0LbOrFslZRrOezAZLgGDT0bXRP+eTUWqMt/NOqhpOhQEFYqi8Pnrz5C5XzVyJKV25PoHnkGnO6TSlCUkk9+tF67oGFbddn+NfU3qcg3HpZxKu/Cufp07TwtPREPW5TDEBF982rhrEQiaAqHMCwTBjssVaAkIt8qMm+DAY1BXvZuiNF2eM4sM+146WfvRlubYgprxuN288+S9lBUXAqo15czLrq+zXdSeHUx66Db0LicHh49WFXmDWoarzFXIT9tegIgOGK9cw6ZQA2YZ7syDi5qw9LbJBB9/DG63WlhCIAgoubnqClO7doGWpMHYnRr6WFwUj5J4+uX8Juu30jLfLUwo822RRX/8xLJ5cwAwmi3c+NBzWEJCjzjGGRHJ7298isZkqDVxsEbS0CNmMBpN3QtibuDJONhhAp6EvZdDZGRjrkQgaBoCmxpbIBDUzIwZ0L8/fPZZoCUBoAgNKXYPUS4fJrnx2ve87O+5d/2FvLD1tsYLJ2gVzHrnRfZu3wxAdFwi1977BJo6rIrh6WmcfP/NGG3lZPcfzLxXPqhS5AF+2vY89rjuaK5ZTZE1ilgvzDoAl5Q0zQDnq3BCMZshJUUo8oIgYepUcDigInFfayQ53sumn/az6rl0Oti8TdJntiOdHGc6GrQiXr4Nsn/Xdr5864Wqz5ff9gAJ7TqoH2SZ5DXqQg4WC3JkBF5z9WEWi/d/zYHiLVgNYX4p8gDvRcN2E4T64CMFPvsUjMa62wkEzY1Q5gWCYGXFCti4EWy2QEvC13NCSVuu5/f5B/l5aUaT9LkoV11Z7xU+vEn6EwQ3K/75k4VzfgBAbzBy40PPERoWUWe76D07MZaVkN+9N3+98ckRk7NcWxoLLR64fAGyJZruTvj+APRwN43MsgwXXgjPPKNa5kWFK0FQodVCSP2ybwcjPllCaaLf1iYRL99msZWV8vaT91QlvBt/+lSGjZtUtb/3L19z8gM3M/jz9yCs+vJzAHm2/Xy+4QEeX3AKeTb/8hH9HQqzw9T3L2bD2QNgtMjZKwgShJu9QBCsrFunvvbqFVAxHE6JC6cnoigSS77ajxxad5u6yLSnsad8Mxq09I8c1/gOBUFNfnYmn7/+dNXnS266h/Zde/jVdu/xk/BER5E3+Dg81rCq7V7grfAyGPk1AGPL4ZUsCGnCkI3Fi2HDBjX/5HPPNV2/AkGT4G6iVasA4/OB3ETK/MaKePnuwsW+TaEoCh+//Dj52ZkAdOrRh/OvubVqf8T+vQyZ+QYA9pTak1h+t+VpvLKb/vEn0DGyX53n3muA1ytKj16VBRNdYBXZ6wVBhFDmBYJgJDtb/ZMk6NYtoKIUlWiYONJOepae6AiZDKnxj41l+X8B0Ct8KFZ9RKP7EwQvPp+XD557GIdd9TAZfsLJjJp0Wu2NZBm904HHEgJmM+knTjnqkH8tbg52PQWAkw8e5CV7Ck2dBmzsWPjwQ/VnGBPTxJ0LBI1h0iQ1YPe229S02q2Qz3+28kJOJI7LNZxgsXNWZlmj+zyz3ZUkWzqRbOnZBBIKgoVFf/zMuqULAAixhnPd/U+j0+sB0Hg8HP/cQ+g8btJHjGPb1Jrrhe7MX8GazDlIaLh+2KtV2e9rwibB43Hg0kC3ffBlX4i5SfXWEgiCBaHMCwTByPr16munTgF3o0yK9/HXhxnsz9HhsktNYkFZX7QEgN4RIxrfmSComTPrI3Zv3QBATHwSF990T51tBn32Lh0Xz+evp1+nrE/1ca/5K5+H8uF0yNzOq12brzb46ae3Wl1J0FYpLoa5c9X399T9ewpWtu4xsMFigr6Qkts0FU06W3sTb+5IsbvxCwOC4CAn4wCz3nmx6vO06Q8RHZdQ9Xng5+8RvWcnzvAIFj32Qo3xUIqi8P1WVQuf1GUaHSP71nnuN2MgSw8JHuj4AOy0qSFXAkEwIZR5gSAYCRIX+8O5u3MMs+NCuSKthNOzyhvcj1f2sKl4BQA9woY0lXiCIGTP1o38+sVMACSNhqvufuyorMP/pdM/fzDwqw8BiNu3u0qZ96G64uoVsLuK+Xff57D7Xe4bO7vJ5S4rA4NBXUeLimry7gWCxrG3Is43JgZCmyDuKUBcdGoZ2yMN/IgVs7fp4mNcctsIPxCA1+vl/Wcfwu1yAjB28lkMGHEoNC9+83r6favWh1v80DM4Ymsu47sjfzl7Cteg1xi5fOATdZ57QYha3lSjwMtZMPARWH8GnHBCIy9KIGhiRAI8gSAYqVTme/gXV9wS5Bl02HUaDI3MZL+zbCNOnx2rLoJkS5cmkk4QbDhs5bz/3ENV9eRPvfAquvauPbt0zI4tjHnpcQA2XnYte047B4BinYYXO8fyZXIkOgWW7/4Ip89G1/A+jEs6pcllf/55mDxZjZcXSe8EQUelMp9ae2xwsNOnm5v2PVSLvMXX+HKnc7O+ZX72jxQ4cxvdlyA4mP3F+6Tt3ApAfHIqU6+7vWqf1ulk3POPoJFldp56Dvsn1j4WzNmpxtRP6jKNKHNCrccCbKywwF9bCIOc6lhwxhkQF9fAixEImgmhzAsEwUhqqhor37t3oCXho+/DGHx2KlvKDABEenyN6m9D0VJAtcprJPEIaqt8/e7LVcmKOvfqx6kXXVnr8XpbOSc8fT86j5v9Y8az+tb7ANhsNTGjWwI7Q02sirCAorCraC0A1/e6v86Yx/ri9cL27ZCRIeLkBUHKnj3qayuuMV9JqaRmujD7Gm+Z/3Lfqzy39Vb2lG1udF+CwLNr83p++/pjALRaLdfc8zhGk7lqv89oZOVVN5PddxDL732s1r72FW1ga94itJKO8/vc69f5by6AlzLh2iy1sonJJFzsBcGJmEkLBMHICy/AypUwIvAx5Rk5OtZuMVFmVR8Xke6mUea7hQ9stGyC4GTDikUs/usXAIxmC1ff/Rhabe1RXSPffI6w7EzKEpNZ+NRryFotv8VZebVjDGV6LR3tLt7clEGC28djgz/krdG/cHLqeU0uu04HH32k/gTHjGny7gWCxlNpmU9JCawcjWTJGhP7y9TnQmMt8z7Zy8i4yXSx9hP15dsATruNmc8/giKr98Xpl15Hh27/CTuUJNLGn8Rvn/2EJ7TmUnQAc3a+CcC4jhcSH9reLxlCZZhSDp98oHpqLVxY/+sQCFoCETMvEAQrLlegJQDgwlPLGNjbyZmRyQBEuhs+6XLLLraWrAage9jQJpFPEFyUlxbz6StPVn2+4LrpxCYk19qm0z9/0GX+78gaDQuefh1bWDgft4tkZaSa/PHk3FJuTCvEoKjWO51GxwkpU5rUs+PgQVU30mpVh5iBYq1JEKy0Ecv82TcnkfuJDtqDpZGWea1GxzVdHqDAXYzDGxxjp6DhfP3ey+TnqJ5dXfsMZPJ5hzLUSz4fens5bms4hIfV1EUVmaU7WZf1BxISF/S5r9ZjyzSqEq8Hon2gKDB7NqSliZArQfAiLPMCQbBRVqb6dAWJMt851cNxJzjxatWRLKIRbvbbS9bhll1E6GNINHVoIgkFwcSXbz5PSVEBAH2HjmL0SafX2Sa7z0Ay+w9m3TW3snPIMJ7rEsfKyBC0isJN+/K5bV8BBkUh074fh9eG1WhtUkX+iy/g5JNh/nxVPzIYmqxrgaDp8XrVVadWrMwrCrRL8GKIVpV4i7fxMfMAbl/TZMUXBI6NKxaz6I+fAdWz68o7H0GjPVR4tOev33Lu1efScdkC0Nf9sP5911sAHNfuDFIjai5Z6JbgjkR4OhYMMmhRFfhvvlE9tc4/v1GXJRA0G0KZFwiCjVtvhbAw+PTTQEtSRbZOdeIJ8/jQN8KAsqGiJF2P8CFNHussCDyr//2blQv/AsASGsbltz3g1//ZHhvPH299zm+33MET3eJJsxgI9fp4als2p+YeKjH18qZ7ufifEawp+LfJZFYU2LQJPB7Ve1ko8oKgZ8ECyMmBAQMCLUmDkSRY/cMBuvVVM8+bG+lmv71kHSXuYnxK0ywKCAJDeWkxn7xyKNP81GtvP8Kzy5Kfy+BP38FcUozRU3fVgjzbflYcVBcGLur3YK3HfhQJBwyw2cQR85zQULjlFjE2CIIX4WYvEAQb69aBzQYREYGWBIDNOw38qgmBDhDVyHj5RHN7+kYcR8+wYU0jnCBoKCkq4PM3nqn6fPH/7iIiOrbWNqHZmZQnJIHJhC8khPc6xlKs15HicPPYjhySXN6qY+3ecgpdubhkB32iBjeZ3JIEzzyj1pO//PIm61YgaF4URU3w0Mop1ao2pca42du8pdy25gwkJF4Z8jchurpdrwXBh6IofP76s1WeXf2GjWbMyWccccxx77yEwW4jt88Atp97cZ19enwuesaOwqAx0DW65nFjnQl+DFffP50DUYetCRmNoNfX/3oEgpai9Y8EAkFbwu2GLVvU9z1rdgdrSV77LIL3tRFwCkQ1Il4eYGLiuYyKO40CV3GTyCYIDtRJ2DOUl5YAMHj0eIYdf1KtbaJ3bef0265g58lnsPTR59EA1+0v4MeEcO7fnYf1P5Y6iy6U98fMpdxXQIKlcYm/ZFl1qZ84UbW2pKSoxSMEglaDp224kx9X4iDB5m1U+NbuMnXMjDYmCEW+FbNywV+sXvQ3ACHWcC679UjPrpRVS+i4eB6yRsuSh54BTd3OxUlh3bh79DdEmGq+L8o18GLFuvP5xXC8TX2/aBHMmgXTpkF7/3LmCQQBQbjZCwTBxJYt6iQtIgKSa08a1lKkxHtJ6qdOHMMbWZYORExjW2T5/N9Zt3QBANbwSC656d5a3es1Hg9jXnoMjc+HweVAqTB7dLZ7eHpHzlGKfCVGnZH+sY3z6lAUuPtu+N//4MMP1bDjNmDgFBwrfPEFjBwJb70VaEkaxaLVZiZekUzcnT7eWp9DorMxyrxaiq59SHAsgAvqT1F+Ll+8+VzV50tuvoeI6EO1QTUeD8e98xIAWy64gsLuvY7qoyasxlCMOnON+9+MhnwdpLjhvrxD22fPhr//hqVL63EhAkEAEFMYgSCYWLdOfe3VK2hSpz58UyGnasv5eWsoBrnhrpD7bTuJNMTilEVMY1uiuCCPr95+oerzpbfchzUistY2/b75mOh9u3CGR7DkfjXzvV6GyBoWizLt+4kxJhBljmq0vJIEPXrA779D375qHjGBoNWwcSMsW9bqXUn2puuZtywEr1dCpnFjXaUy3y6kdX8nxyqyLPPRS49hLy8FYNi4SQwde+IRx/T65WvCMw7giIxm3Y3T6+5T8fHnrncZlXouydaaPbn+tcA/oaBR4MVssBw2xbnqKnWx97LLamwuEAQFwjIvEAQTlcp8jx6BleM/9HO5uSi9jCFFzgb38fK2u5i6aAAr8/9uQskEgURRFD555Uns5WqSuuEnnMSgUSfU2iZy324GfPUhAB+98g53jehDuklPtMdb44D0zIZbuXjBCDYXrWwSuW+6SU16d3HdIZcCQXBRWZauldeYHzvEzufPZzHt7BLkRq5b7y7bBECqJbjGTYF/LJj9HVvXrgAgIjqWi266+6hjQvJyAFh1yz111pQH2Jg9j++3PsOMBacgK9UvEpdo4M0K4/81hTDgP9Obbt3g0UdhyBD/r0UgCATCMi8QBBNBqswrCngbMeHyyV5cshMFhdSQ4Lo2QcNZMvdXNq1SKxSER0Zz4Y131Xq85PMy5qXH0Hq97B87kZfOPYMck56/Y62MKHZU22ZXySZ2lmxEJ+npGTmgwbKuWgWDBoHZrEawCIu8oFWyd6/62orL0gF0bOclMbWcRbkmCmQNDf05Orw2DtrVBY72YmxpdWSlp/HdzNeqPk+74xFCreFHHbfi+jvYddaFFPbt71e/Zn0YXaOH0T9hLFpN9arOO9FQooUuLripoPp+rHWvGwgEAUco8wJBMHHqqero0adPoCWpYvrTsazeZOTic0vpMKph8e5ajY63h/3J/vI0tJqaY9cErYfCvGy+rohhBLjstgeqnYQdTt/vPid21zZcoWH8+sQL7A41AXD9/hpmUsBv6V8CcGLKWUSZas+OXxN//w033wwnnAA//ywUeUErRVEOWeZbuTIPsE1vYNKodkS7fHyxMrNBfewt34qCQqQhjnBDdBNLKGhOvF4vM597GLfLBcD406fSe9Dw6g/W6SjsP9DvvrvHHMejJ/xGhKn6kC+bBHsMqnv909lweNU5txvefBOmTIGuXf0+pUAQMISbvUAQTNx7r5rgqHPnQEtSxYbtRhadYOGP7iHYtI3zhzTqQptIKkEgkWWZj19+AoddTfs78sRT6T98TJ3tyuOTcIRHsPyuR1jSKRWA7mVOYmsoeWjzlPJP1i8AXNLtpkbIqya5S00Fi6XB3QgEgaWwEErVuOLW7ma/fpuRFfuMAFgaUWN+V4WLfQeR/K7V8dtXM0nbtQ2AhHYdOOfK/zzjFYXBH7+NNfMghNffRB5qCEWrqX7lNkSBNzPUv36uI/ctWQLvvAPXXKOunwkEwY6wzAsEwUaQlRx68JYC/rnAzE+SlanLSwlpQD1gRVGQFQWv3Phs+ILAM/+Xb6piHCNj4rjguroTEgHsPX4S6RMn44mOZk246qExrtBW4/ELsn7F5XPQ0dqDwbGjGyzvpEmwcKEa+xgkeSUFgvpT6WKfkAAmU2BlaSS3PhnLv7EWOKFxyrxIftc62bN1I7999REAWq2Wq++agfE/93THRX8zYNaH9Jz9LbPmrsKrN1TX1RE4PeX8s+9TxnW8GKOudu+VOB90q2a6FRUFJ52kJkj1o/qdQBBwhDIvEAQLpaXgcKg+XkFEj2FuFElCoyiEeeo/6fIpPi5dMpxEc3uu7vIUVn1E0wspaDEy9+/l+w/fqPo8bfrDWOpKSKQoqhZtMuKJiKBYp2F3iGqVG12LMj8343sAzu98da2l7uoiMrLVJ/8WCKCsDDp0UJX5Vk5MpI+Idl6K0WHxNtz8WanMp1q6N5VogmbGVlbKu888gFyxuH/axdfQoduRpea0bhdDP3gdgC0XX4XX7J9L1bL0H/h+6zOsyfyNd07feNR+L6riY1QgoobpTP/+8O67ora8oPUg1pwEgmDhq6/USdqVVwZakiPIrijCHen2NShJ0UH7Hgrduewu20yITmSTac14PR4+eO5hPG7VL3HimRfQq6YYxwoMZSWceePFdFz0N1Qo/evCLSiSRNdyF3E1uNinl+9he8l6tJKW0ztcUm9Z9++HK65QQ4yjRSitoC0wfjzs26eGYrVyvn89ixn3q7kyzA20zLt8Tg7YdwHQPlS42bcG1AooT1CYmw1A1z4DmTz18qOO6/nLN1hzs7DFxLHxihv87nv+vo8BOLnr1UfvB+5MhG/CIaIOJ0GR+E7QmhDKvEAQLGRlqa8xMYGV4z/8e0B1hw53NmzCtau0IqYxtAcaSWQea8388sX7HNizA4DE1I6cPe1/dbYZ+uEbRO/bxcAvPkBS1Huo0sV+bEF5je0qrfKjEiYRY46vt6zPPaeW437lFeEqKWhj+NpGuFJpRTyzpQGhWwD7yrchKz7C9dFE6BuWHFPQsiyY/R1rl/wDQIg1nGvueQyt9kgnYWNJcVX50jU3343P7F/S3F0FK8kq241RF8KJnY9eINhsgu0m+CIC3DU4em3aBCUlQpkXtC6Em71AECxkVmTzjQ2uScnTP0fBGDAUN2zCVVUDWJQNatXs2rKB37/5BKiMcXwMg7H2uN34zevp8ftPACx55FkUvZ5SnYYdoaqL/Zgie7XtfIqP+Zlqu3M6NcxT5cEH1TJ0L71U97ECQavB42kzWblKJHWVraGW+XxXNiathfYhPRoVhiNoGdL37uTr916p+jxt+kNExR4dMjLwyw8w2sop6NqT3aee43f/i/d/DcDY9ucTYji6ssrPYerr6WXVu9grCtx0E+TlwaJFMGKE36cWCAKKUOYFgmCh0jIfZMp8ZJKPHHRY5IZNICuzDadahDLfWrGXlzHzuYdRZHUGdMal19G+a+3/T8nrZdTrTwOw44zzyRk4DICNYWYUSaKzzUWCy1tt2w0FS8l3ZROmj2B88mkNkjk5GX74Qc1iLxC0CYYPV+sqzpjRqgN607N0XHFvAgfv1UIymBtomR8dN5kRsZPYU7a3iSUUNDVOh513n7ofr0fNCTThjKkMGDHuqOPCMg7Qc/Z3AKy48yEUP+uIOjxlrM78DYDJ3a45an+uFpZWhN1fVlR9H0VFqkW+pAQGDPDrtAJBUCCmOQJBsFBpmY+LC6wc/+HaS0qYThwRIfV37fQpPvaUbwEgNUQkKGqNKIrCxy8/Tn6Oen927tWPk8+7rM52vX/+msj9e3GER7Jy+oNV20cW2kh0eLDWYo2rdLGfnDoVg9ZYL3mdTjXRd3S0UOQFbQivF1atUs2Hrby+YmaujvnLLYTY1WdAY7LZy4qCRRfWVKIJmgFFUfj0lSfJPrgfgNTO3Tn3qluqPdYWHcfaS64lKuMAWcP9r2CyMuMX3D4HKWHd6Rlz3FH7Z4eBLMFQO3SrIcdwVBTMng1Go+rVJRC0FsRURyAIFoLUMu+pcF/UNWC+lWHfi9Nnx6gxk2ju0LSCCVqE+b98UxXjaAm1cu09T6Cpw1piLsxn4BfvA7D61ntxh0dU7dMAvctdxHhqqC3vLWNpzl8AnNv5qnrJmpMDp50GZ5+t1gkWCNoMJSWH3OsjIgIqSmPp1M7DFy9k8UK/SNZhalQ2e49SvXePIHj449tPWblQfaYbzRauu/8p9Ibqy8z5TCY2XHG9WoKkHlS62J/c9ejKJy4Jfq+Igb+iBqt8JRoNpKbW69QCQcARyrxAEAz4fKomAkFnmXdXKvMNiNOscrEP6S6S37VC0nZu5Zv3X6n6fOUdjxAdn1hnu/bLFmKw28jr2ZedZ049ar9ZrnllSIuWa3s8wK6yjfSNGlIveWfPVnWeHTughrmiQNA6KSlRXy0W0OsDK0sjiY3ycdFpZcQVe9m1Vo/FW/+V4l1lm3huy630DB/K+e2nN4OUgqZg48ol/PDRm1Wfr777MeKTq9GWK+cXklRV9cRfMkp3sK9oPVpJx8ROR3uN/RMCZVpI9MAJNVRC9flURd5iUUUQCFoTQpkXCIIBlwtuuQXS0oKujtanP4ShuVRBcdS/bWXyu/bCxb7VYS8v452n7sPnVS1fJ559UbUxjtWxfco5FHfojCcp6YhU8i5JwiQrmGqJkTXpLJyaegntwtvVO6nVlVdC797QtWu9mgkEwU9xsfoa1nZcyjuXeYiXfWSa6r/Qu7t0E+n23YTrg6v6i+AQ2elpvP/MAygVivoZl17HwBrGkOQ1yxj86busuepmMk6aUq/zLNo/C4ChyacQYT7SGKJwKPHdJcXUWF7399/hhRfg2mvh0UfrdXqBIOAIZV4gCAYsFnj5ZdU6X2mBCQIUBXZfr0e5TuKyH0ugnusMlWXp2olM9q2KylrA+dlqnHynHn04Z9pN9eoje+z4IyyITo3EHb2S6F7u4rGdOWhrSaho0VvQauo/wZckOOMMCD86kbFA0LqpHBfagDK/K01PSZkGWQFjeEOT351CrCmJEk8NplZBQLHbynljxp047Or/Z/Do8Uy5sIbKJIrCoM8/IHbnVlI2rKqXMu/xuVie/gMAk7tde9T+TSbYZwSTDOfVMrVatEiNdLRXX2BFIAhqhDIvEAQT3uCL//vsuWyKSjWEhNbPFVJW5Krkdx2EMt+q+G3WR6xZPB+oiJO/90l0frj2Jq5fRWlyO2ypHY9yBd5iNeHSasgz6jDVoMj/dfBb3LKL8zrXrxyd2606AJhMbULXEQiOptIy3wYKYD8/M5L3v4nglkuLuOKyhi1eW/URDIgcQ7Yzv4mlEzQWj9vN20/cU5XwLrlDF6bd8Qiaw7y0Didp3Uritm/CazCycdoN9TrXhuy5lLuLiDQnMiTppKP27zCCpMDppRBeyxRmxgx1IXjkyHqdXiAICoQyLxAEAwUFav1gdw1pVgOEJMHFp5dRUKxhtat+WcUz7Htx+GwYNCYSRPK7VsOaxfP56ZO3qz5feccjxCQk1dnOUF7GCU/fj87pZM77X5Pfb+AR+zeGqTXph9dQW15RFL7a8yZZjgN0CO/MaaEX+S3zN9/AJ5/Aww9Dp05+NxMIWg8ajVqOLuHoutytjVCLQkqCh9VXGinsGMnpmeWENSBuXiS/Cz58Pi/vP/sg29atBCDEGs5Nj76AyVxDBQZFYeAXHwCw46wLccTG1+t8a7P+BODEzpej1Ryt0pxXAhPLIbGOW8VkUpOnBlmUo0DgF9UvkwkEgpblzTchMRHuvTfQklRLQ0rM7zosXl4riXXD1sD+XduZ+fzDVZ/PnvY/v+PkB3z5AeaSYsoTkyno2eeIfTKwyarW+hleXL0y71U8nJp6Cf2ihjMh5Yx6yf3DD3DggFqWTiBok5xxhppT5fXXAy1Jo3npvjx2zU1jxVgzn7cPx1PPmWieM4vP9r7I4tw5zSOgoEHIssynrz5VVf3EYDRxy4yXiE1IrrFN4sY1JGxZj1dvYONVN9b7nFcNepk7Rn7Bqd1qtuh3dtetzAOEhNT79AJBUBAUyvybb75Jhw4dMJlMDB8+nJUrV9Z6/CuvvEL37t0xm820a9eO22+/HaeYxQlaM0Fals7thgulBPr16sDvCfUb6Y6LOZFnB37NWanXN5N0gqakuCCPN2bcgdvlAmDEhFOYfP7lfrUNyzhAr1++AWDF3Y+i/MfFfr/ZQKlei9kn06es+me1XmPgnI5X8/mEhVh09bvXPv8cnnlGTYAnELRpaqkE0ZqwKRI+jZrg0lxLQszq2F22iS/SXuX7A6L+ZLCgKArfvv8qS/76FQCtTsf/HnmBzr361dpuQIVVfueZU7HH1d/rRKvRMbr9mcSF1lxPzljH7TVjBnzxhZqHWCBojQRcmf/666+ZPn06jzzyCGvXrqV///6cdNJJ5ObmVnv8l19+yb333ssjjzzCtm3bmDlzJl9//TX3339/C0suEDQhmWqisWBT5vOKdMxaFUa2VYdTU7/M4hZdKH3Dj6ObtX7lxQQtj8vp4I1H76AoX33udu7Vj8tufcDvbPLDPngNrddL+sjjyRh5tCW/0sV+QIkDfS0TK71Wj1FXv3AOUC0qd94JZnO9mwoErYs2osyXSOr0U1Jqr25RHQdsuwBE+FaQoCgKv3z+HnN//BIASaPhmnueoPeg4bW2i922iaSNa/Dp9Wy4un4JVhVFQVZktJIWk676B395hYZTmzKfnQ1ffgmPP65GOgoErZGAK/MvvfQS11xzDdOmTaNXr1688847WCwWPvzww2qPX7p0KaNGjeKiiy6iQ4cOTJo0iQsvvLBOa75AENRUWuaDrMa8ooClImuMrgGu9m7E6BjsuF1O3nj0DtJ2bQMgKi6B/z38PHo/C7UnrltJ+2ULkTVaVtz5ULXHbAxTJ1sjaoiX31q0hrkZ3yNJ9bvJKjMPh4eDtv7J7wWC1sODD8KwYfDrr4GWpNFc82A8Vz2rxkZbfEq9J6Lp9j0AJJjbN7Fkgvoi+3x88eaz/FphYQe47Jb7GTJmQp1t87r3Zt6Dz7Lm+unY4xPrdd4DJZu5568RzN7xao2LzjcnwcXtYHst68MGA9x1F1x9NcSIKoeCVkpAA1ndbjdr1qzhvvvuq9qm0WiYOHEiy5Ytq7bNyJEj+fzzz1m5ciXDhg1j7969zJkzh0svvbTG87hcLlyH+c+UlpY23UUIBE1BkLrZpyR4mTjIzi+EoqtH4HyO4yA/HfyQjiG96RUxuhklFDQGj9vNW0/cw7b1qwAwW0K4+dGXCIuI8qu95PNx3LsvA7DtvEso6XR0gfdinYb9FnVhYGgN8fI/pH3I4pzfKXBncd+gF/06t6LAJZeoCYvefTfo1sEENSDG4waybRusWgWTJwdakkbz52IL6YlqKI6lAYnv0u27AUgwdWhKsQT1xO1y8v6zD7Fu6YKqbVOvu50xJ/uZ80SjIW3iZIiIqPe5Vx78hSJHFtnle6vdX6yBrIpor+RabApRUXDNNdC5c71FEAiChoAq8/n5+fh8PuLjj8xeGR8fz/bt26ttc9FFF5Gfn8/o0aNRFAWv18v1119fq5v9008/zYwZM5pUdoGgyZBl1dcLglIjcVeseusV/5X5rSVr+DH9AzqH9hXKfJDi9Xp59+n72bxqKQBGs4XbnnyddtUo5DWh8XlJHzYKU2kx626YXu0xmyqs8l3LXURWM3Ev95SyIm8eAGd2rHlR9r/s2AHbt6uWFZGBuPUgxuMGUllnvi2Uprs7j8VWE28QhaWeLvaKopBuUy3zicLNPmCUl5XwxiN3sHvrBgC0Wi1X3P4wIyaeUndjRUHvsOOxhEBIaIPOf2bPO+gSNYRuMdXH5O+osMa3d0NYHetFJpNaLEIgaK20utt3wYIFPPXUU7z11lusXbuWH374gd9++43HH3+8xjb33XcfJSUlVX/p6ektKLFAUAf5+Wp9eUkKSq2kUpnX1UOZT7J04PSUKxgWc2JziSVoBD6flw+efYj1yxYCatbhWx9/hc49+9avH4OR1VffzDezl+CKiKz2mG2h6qyqppJ0i3N+xyO76RTWkx4R/f0+d48e8McfMHNm0Dm0CGpBjMcNpFKZDwsLrBxNwNRTyhl1vJoI0+Krn2W+0J2D3VeGhIY4U7vmEE9QB/t3befp266sUuSNZgu3PPaKf4o80H7JP5w37Uy6z/0V9A2zKeq1JsZ1OI/uMcOq3V+pzPd31NxHejosXw46UWxH0MoJ6C0cExODVqslJyfniO05OTkk1FBL9aGHHuLSSy/l6quvBqBv377YbDauvfZaHnjgATTVLK8ZjUaMxvonVRIIWgSNBm6/HXJz4T9ZwAPN9j161ruM0Bd09ZhzdQ/rT9fQfmQ6q09kKQgcTruN9555kI0rFwOg0xu4+dEX6dZnYB0tayAkBJ+l5sxzVx4oZGJ+Od3L3dXun5/5MwBndrjU74R7lfTurVZ0FLQexHjcQIqL1dfQhlkyg42yirlafZX5Sqt8vKkdeo1/eT0ETYMsy/z1/Rf8+Mlb+LxqrTdrRBS3Pf4q7bv28KsPyedlyMdvYS4pJqS4sFHymA01jzuVcfIDail09dNP8MYbMHUqzJrVKFEEgoASUMu8wWBg8ODBzJs3r2qbLMvMmzePESNGVNvGbrcfpbBrKzIfKfWwHAoEQUNMDLz0Ejz3XKAlOYrcQh2FdvX3VR/LPIjkd8FIYV4Oz955TZUir9Xp+N/Dz9FzYPXWjZoIzc5k8j03ELtrS53FeXXAwBIn8e6jC/3mOjLYWLgcgNM7XOL3+cvK1NcgdGQRCJqHNuRmv2G7gV2F6sK12VvPTPYV8fLCxb5lKcrP5aX7/8d3M1+rUuTbd+3J/S/P9FuRB+j612wiDu7HGR7Bpmk114avCafXxoz5J/PbjtdqnPMrwM5Ky3wtyrxWq44hJwoHQkErJ+Bu9tOnT+f999/nk08+Ydu2bdxwww3YbDamTZsGwGWXXXZEgrzTTjuNt99+m1mzZrFv3z7mzp3LQw89xGmnnVal1AsErRLv0cpOoOmS6qZde1Up99cy7/TZ2V6yjmJ341bdBU1L2q5tPHnrFaTvVcs6WUKt3P7k6/QdOqrefQ398HWSNqxm8Kfv+XW8qYZyWv9k/QLAkNgxJIb45zK7bh2MGQOvv67GywsEbR5FaTNu9rIMA87owPOvRtOhxE28y1ev9gcrMtnHm2uuKy5oOtwuJ79/+ykPXzeV7etXAyBJEieffxn3vTST2MQUv/vSupwM+uJ9ANZfdTOe0PovTK3L/IP00q0sP/hjjZ4ZGToo14JBhm611I6/8UZYvx4uu6zeYggEQUXAI0WmTp1KXl4eDz/8MNnZ2QwYMIA//vijKinegQMHjrDEP/jgg0iSxIMPPkhGRgaxsbGcdtppPPnkk4G6BIGgceTkqDMcVy2jToBIivdhjVQVMX8T4O0u28yda88lxpjIMwN/aU7xBH6gKAorF/zJJ688idulmiliE5O55bFXSGzXod79xW3dQKd//0aRJFbc9UjN5wU8koRFVqqtLa8oCvMyfwLgzA7+z6bmzAGH45B1XiBo83g8ajxJUVGrt8x7vBKJsV5cv0h8f2YmBbFa6uNon24TmexbAp/Py7K/5/DzZ+9SlH8oXC4yJo6r7ppBj/5D6t1nr1++ISQ/l/L4RLZP9T/Z6eEsS/8BgAkdL6kxLGu7SX3t4YK61nut1qCLbhQI6k3AlXmAm266iZtuuqnafQsWLDjis06n45FHHuGRR2qeRAoErYrHHoO33lKXiW+9NdDSHMWVpaVscRmIdfnnOVA52Uo0d2xOsQR+UFZcxOdvPMOaxfOrtnXu1Y+bHn4Baw0J62pFlhleUYpu5+nnUdStZ42HppkNPN8llgElDmbszOW/067dpVs4UL4Lg8bEyann+S3C/ffDxIkwqv4OBQJB68RggLQ0NVlqYev2eDIaFDIX76WgSENBsZa8erZPF272zUp5aTHL5//Bgt++Jzs9rWq7pNEwcuIUzrvmVkKt4fXu11BWSv+vPwZgzY134jOa6t1HsSObbXlLAJjQueYF4B1+uNi7XGA0gsVSbzEEgqAjKJR5geCYJjNTfY2JCawc1VBcquHkXTYGOR244/xLTpZuF2WDgoF1Sxfw6atPUVZSVLVtxIRTuOzW+9EbGpaArNPCv4jbsQW32cKam++u9dh/YkJxazRYfMpRijzA/MwfATg+aQpWg/+TQ0mCc84RkzDBMUgN4SqtEUWhXhZ5ALu3nHyXWsY1QYwvTYbH7WL7htUs+Ws265cvxOs5Mt9N/+FjOHvajSR36NLgc6SsWY7BVk5Rx67sOfXsBvWx4uAvKMh0jzmORGunGo+rTH43sAZlXlFgyhQID4fvvoPu3RskjkAQNAhlXiAINFlZ6msQ1pif/U8Il96dyIghDh55Kd+vNpWWk3hT++YUTVADGWm7+enTd1m3dEHVttCwcC6+6R6Gjm14ph+ty8nQD98AYOOV/8MRU/P9WqbVsDJC1bbPyCk9ar9P9rIg61cAzu50hV/nr4zyMBiEIi84RmlDyrxTkvDVr3gFDl85I2NPpsCVS4iudecOCBSKolBaXEhm2h52bFrLzk1r2bt981EKPEDX3gM4a9qNDa90chh7j59EcYdO6MwmlAbmt1qVoYbtTeh0ca3HPZwD+wxwXPXVUMnKUsvSZWdDcnKDRBEIggqhzAsEgSaIlXmdDmIivVhD/U9SdMjNvkMzSSWojuz0NH754gNWLfzriCy/A44by6W33Ed4VOM8P7r8PYfQvBzK4xLYfOk1tR67OCoEr0aik81Fj/Kjc0GsLVhMkTufSEMMoxNP8uv8CxeqBR9uuAHuuKNBlyAQtE4WL4bp01UT4kMPBVqaRpGTr+Xmx+NY9LSZnBO13LOjgOPzaikGfhjRxgQe7vse+a4inL7qS122FbxeL47yMmzlpdht5fg8Hnw+Lz6fD9nnRZEVFNTnvKIoKIqC7PPh83mRfT7cLhcOWxn28nLs5aWUFheSm3WQ3MyDuBw1aLmANTySERNPYdSJp5HcoXOTXlPhgCFgaphXWK4tjbTijUhoGNO+9rCsWB90L4fwGta+kpLUn1ReXpup9Cg4xhHKvEAQSBTlkDIfGxtYWarhgillWM+X2V+oxVkqYZJrT4Ln8jnJcR4EhBtkS+D1etm6ZjlL5/3GmsXzUQ6z3IVHRnPOVTczYsIp9a7fXh07Tz4DRafF1S4Vn6nmeEcZWBitzpBOzymt1sV+YdZsACanTkWv8S/70C+/wJ49cOBAfSUXCFo5mZmwahVoAl6AqNEUlWj49g8r2scVFEnC6Kt/SWGvEnyVXxqCLMsc3LeLA7t3kJ2xn9yMdHIyDlCQm43TbmsxOWITk+nedzD9jxtD32Gj0emaTjWISNuDrNNR2qlrgxV5gNUZ6pjRL/54Is3xdR5vrOO2iouDGipgCwStDqHMCwSBpKBAzVQMQRkzD3BuYiLOZA2frszEVEcZoQz7XhQUQnXhWHUNSLAmqBOP203azq2s+vdvVi3864iYeIDQ8Agmn385x085F2MtSnd9UbRadp5/GZhr73OT1US+UUeI18fxBdVPSP/XawZD48YxOmmi3+efMQPGjoXTT6+X2AJB66e4WH1t5ZnsAeKifbz+UC6Pt4siFx2Weijz5Z4SzFor3lYcblCQk8Xm1cvYtn4V2zeuprykuMXOrdFoiUlIIi4phbikdnTq0YdufQcRFVu3ctwgFIVRrz1N3I7NLHz0Bfaedk6Du1p5UA3LOr7jBXUeK1G3Mm8ytYm1MYEAEMq8QBBYKq3y0dFBWzTbXWHV1dVhlYfDMw13bBJr8LGO2+UkPzuT3Mx09u7Ywq7N69m3Ywtez9EupqHhEUw66yLGnzEVk7npgsqtWQexR8bgCwurU5EHmB+jWuUn5ZXX6Mlh1oVwdqcrCDP6H/dqtcJ116lJiwSCY4rKGvNtwCc4KkLmpkuKeSoiCgCLz3/FfPqas8hzZXNbj1fpbO3XXCI2OT6fl40rl7Bg9ndsWbO81mO1Oh0x8UmEhkcQEhqGJdSKJdSKTq9Hq9Wh1WrRaHWHSjZXjLMajaZinxatVodOr8cSGoYlJBRLqJUQaxiRsQlNanWvi/ZL/iFh6wa8RhPZwxpefiSrbDcHS7ehlXSMbl/7gsD98RDjgwfzIL4aB46NG+HLL+Hss+GSSxoskkAQVAhlXiAIJGFhaiykw7+YwZbm+3khyN3UyUJ1tcL/y6FM9sdG8jtZliktKqCspBiHvRyHTf1zu1zIsg/Z56t4VSesVTGOslK13+fz4vV4cNpt2Cva28pLKcjJorig9sJNOr2BAceN5bjxJ9NnyEh0TVwwV/L5mPDEPRhLS5j3/DvkRw2u9fgcg44tYWYkReG0ahLfVfWLRIg+pF6yaDRtwjApENSfSmW+Df0AyrXquGLx+meZ9yk+cpwHcclOIgzBl1+mOpwOO/N+/pqFv31PYV7OUfvNIaF07zeYbn0HkZTakfjkdkTFJaDVtv6pucbjqUqYuunSa7DHJzS4r1UZqlV+QOJErMaoGo/L08LainXsJ4/+ugH45x/48Uc1H5BQ5gVthdb/xBAIWjPt28OLL6qBwM5aiqIGiPW7D8W4+WWZt7XdTPYFudns3rKevds3k5t5kLzsDPKzM6u1kjcnsYnJdOk9gO79BjFo5AlYQptvgt/tj5+J3rMTV2gY5akd6jx+QYVVflCJgyTX0WaRXEcGj6y9hpPbnc+t/R71S4Zdu+Cll+Dyy6FLwysjCQStl0o3+zZgmbfZJTLydJR3VS3L/lrmtZKWb8duYlfpVqz64FbmFUVh9aK/+ea9VyjKzz1iX0x8EqMmnUbvISNo36V7m1Dcq6Pnr98SnpmOPSqaTdNuaHA/iqJUudif0PHCWo/9ocJra6ADwmq4rU44AbxeOPXUBoskEAQdbfMpIhC0Nnz+Z4tvScaNdvBExXut4o+bfaVlvmMzStUyeNwuNixfxLplC9m1ZT2Fudkten5rRBSxCcnEJqp/yR0607X3ACKiWyZRoqGslCGfvAXA2hum44yKrrON2Sdj8cqckV29VX5+5s/sK9vOytz5SNIMv+T44QeYPx9CQuCyy/yXXyBoM7Qhy/yi1WYm354CZepncz1i5g0aIwnmjjh8R1fICBay09P44q3n2bZuZdU2SZLoO2wUx085lz6Dj0PTwNJsrQVTUQGDPn8PgDX/uwtPSMMXocrdhbh9DvQaIyPanVnjccUamFPx8/hfQc399esHI0eqGe0FgraCUOYFgkBy8KDqP+x0QhAO8P37HbI66+qYc/kUHwcrlPnWmsleURTSdm5l6dzZrFjwF/byml3FDUYjMQnJxCQkER4ZjTkkFLMlFHNIKAajEa1WVxW/KGkkpMq87hUxjlqd7rAYSC1mSwjmUCuWij6a2mW+vgz67D1MpSUUdezKtvMv9avN6TmlnJdZQrSn+sWpKakXE2GIpmd0X7/lOPdc1SXynIbnThIIWjcGg5osIqxt1FYPifdhQ4tWVjD64fF1OJ4gzWSvKAp///QV3818HZ/3kIx9h47iguunE5+cGkDpWpahH76BwW4jr0cfdp5Vd8K62rAao3lm0hI8vhJCDDXf/z+Gg0sDvZwwuubKewBYmi6ljEAQFAhlXiAIJLfeqpoeH3ooKAO4KvLso5UV6kr8WuRW47v1koEYY2KzytUcbN+wmu8+eI20XduO2mcwGunUoy9d+wygS+8BJLfvTHhUdJtN8he1dyc9Z38LwLJ7Z6D4ubAgKRDl8dV4r1j14ZzX+WpiQvyv3NC5Mzz1lJojUiA4Jpk5E956C/bvD7QkjebksXZWTzhATzpi8cnVlq6sjq/SXifTnsaQmJPoHNq/WWWsL16Phy/feo5/f/+palt0XCIX3HAHA44b22bHiWpRFIrad8JtCWHZA082Scp4g8ZAanjNCQ/LNPBrhZ7/vwJqvKfWrlU9vNq1a7RIAkFQIZR5gSCQBHGNeYDMEvURoffDehJjTOCncTvYU74LjRR8XgY1kZG2h+9mvs6mVUuO2G4wGhk0ajwjJ06hW99BAbeUtxiKwog3n0cjy+ybcDJZw0f73dTik6nrP2811t9VuI0YJAWChtOKy7H9lzJNZby8/1b55flz2VG6ns7WwRBEqQPKy0p454l72b5hddW2k865hNMvva5JS4O2GiSJzedeyo6Lr8QTWXOyOn+we0oxaM2Emmr/h/8SBnYNdHHB+OqroQLw7LOwfj18+ilc6p+zmUDQKhDKvEAQSCqV+bjgTOjz7MdRMAhkP0MUNZKGMH0MHjk4XSEPx2m38c37r7Loz59RDpsop3TsyoQzpjJkzATMjYj1a63onA4ckdF4TCZW3PWoX21mx4UR6/Zycm71YQlun4uH11zJmMRTuLb33X716XbD22/DlCnQtau/0gsEbZQ2pMy393p5dnseJYp/VltFUUi3VeZj6dCMktWP7IP7ef2R6eRkHADU6iJX3P4gx42fHGDJAozZjCe88Suws3e8xtID33L5gCc5rUf1SfTsEvx4mFW+pjtKltVIFbMZxoxptGgCQVAhlHmBIFAoCmRmqu+D1DKPQbWcaOuRn88bpDGNh5ORtoe3n7yX7PS0qm1RsfGcefkNHDd+8qEavscgXrOF+Q8/S4jbhS2h7ixBJToNv8aH4dNI9C910sV+dHb/pbl/sb5wGdmOdG7se79fcixbpnoWf/89ZGQEZUoJgaBlmDBBHS9mzID4+EBL0yjmLTPz+S9hdEl1c9IZNhzaul3QC9252H1lSGiIMwWHj3RBbjYv3HNDVflQa0QUNz38PJ171ewO3pYxlJUw8bG7WHfJNWSdOKVJ+tyZv5xydxGR5prv+d/CoFwL7d1wUnnNfWk08N57EBkZvNMtgaChCGVeIAgURUWq+RGCdnT58tpsntuZz9p8Y53HvrTtThxeOxMTLybZErw1xJbNm8Nnrz2N26WWAjSaLUy5YBoTz7wAg/EYdIusjpAQbH56i/wbFYpPI9G9vHpFHmBuxvcAnNnxcjSSfwsl4eEwaRL07i0UecExjCyrxbEVBR5/PNDSNJotu4x8/EM4U8aVM+pMh19tDtr3AhBnSkavMTSneH5hKyvl1QdvqVLkkzt05pYZLxMd3/pyxTQVQz5+m8RN6zC98zI/TpyMUmfAVd3cN/YnDpZsYnDyxBqP8QEmGW4owK8zhoc3WiyBIOgQyrxAECgqrfKRkWCsW1kOBHogxeMlw6XDpqvdgrI8fy6lniJOSGhc9trmwuN2M+udF1k454eqbSkdu3LDg88cU5mGayIybTf9vvmUVdfehj3BP+ufF1gYEwJQYzm6PGcWa/MXAXBOp2l+yzNggGpJad/e7yYCQdujvFxV5KFNJI8YOdDB03fkEREm42/6u2yH6sYeDFZ5j9vNm4/dSeaBfQDEJ6dy57PvYA2PCKxgASRh01p6/qYu2C69/wmUJlp91Wp0DEk+CaOu5vnRBSVwYTEk1+EQ6PWq0yxD4NeCBIImRyjzAkGgyMlRX4PUKl+JooBSx5xLURTu6Pkiu8u2EW8KPu3L6/Hw7lP3sX75v1XbRp90BhfdeKewxkNV0rvETWvBoGfhM2/41Wx9uJlivY5wj4/RhdVnHpqX8SMKCoNiRpFq7VwvsdpAWW2BoHEUF6uvBkPQLvrWhyF9XTiHSvzuDMFhh15l1XvzHE5WhTIfawxscXBZlvnwxUfZuWkdANbwSG59/NVjWpHXul2MeuVJALafOZXsoSMa3aeiKCgoGDSGWhV5AL2iKvK1TVHKy2HsWBg4EP74Q81oLxC0JYQyLxAEiqQkuP12COIs6S9+GMnW3XqGTXDSoY+nxuMkSWJ4zES6hQ3D5vXPdbKl8Pm8vP/sg1WKvN5g5OKb7mb0pNMDLFnw0Hn+7yRuWovXaGLNLff63e6fGDVB4Mm5ZZXpFY5AURTmZnwHwDmdrvS733Xr1JJ0HTr43UQgaJuUlKivbWhl67fQUJ5JjeLMjDK/lPlsp6rMRwdYmf/+wzdYtXAuAAajiVsee5m4pJSAyhRoBnzxAREZB7BFx7Jq+oNN0ufB0u28tvwKxrQ/nxuHvXLU/jINaBUIUSDOV7siD2oGe5sN0tOFIi9omwhlXiAIFD17wksvqbWDXX6mi29hvsy1svYaE1vCHMzw5td5vFeuR6a8FkD2+Zj5/KOsWTwfUBX5W2a8RM+BwwIsWfBgKC9j2AevArD+6psp93NymmHUsSPUhKQonFpDFvttxWvJsKdh1oYwOfV8v/r1eOD669XJ16pV0D+4SkoLBC1LpTLfRoJ9i0s1ZIWqbtgWn38Z+ivd7GNMyc0mV11sXr2UP7/7DABJo+G6+5+iY/feAZMnGIjau5N+36rfybIHnsQd1jT36NrMORQ5ssgp33PUPgV4MQYOGOCZbOhQs42hilGjYM6cJil5LxAEJUKZFwgCjS+4FODDGXu6nbUnmcjP1cKOmo9bU/AvNl8p0YYOhBuCI2xAlmU+fvlxVi74EwCdXs//Hn5OKPL/YdCn72IpKqS4XQc2XX6t3+3mxaqWwuHFdmLd1d/Df1VY5U9MOYsQvX9l/rKz1cgTvR769PFbHIGgbVLpZt9GLPOPvxXFJ8eHw2Vg8fpXZ/6Qm31glHl7eRmfVLiSA1xw3XT6Dxf1zTrP/wON7GPf+JPYP/7kJut3TebvAIxpf/QC8BwrLA9R3evD/Zw6SRJ066Z6ewkEbRGhzAsEgSI3VzVDOhxB62o/YpiTV4AQQ+0WlJ8OzmRVwT9c2vE+xsWf3SKy1cX3M19n6d+/AaDV6bjhwWfpM2RkgKUKLqJ376Dn7G8B1bIiG/yLyS3VaVgaqfornptZUu0xTp+Df7PU7/+8Llf7LVO7djB7NlgsIou9QIDHo1rl20DyOwBZliBMASTMfljm7d5ySjwFAMQESJmf9c6LFOXnAtB70HGMP90/L6O2zqqrbqagV1+yxpzQZH1mle0ms2wnWknPce1OO2Jfuh7ei1Lf354HPeqO0KjCYmkyEQWCoEM4nQgEgeKRRyAlBd55J9CS1IhbUqPR9HUYUNJtuwFINHdoZon8Y/2yhfz5/ecAaDRarrvvKWFJqYYBX36ARpbZO/EUMo/z//tZGWHBq5HoWu6id3n1ISKLsudg95WTHNKBIbH1++6NRvWnIRAc85x1lmqd/+STQEvSJLx8fx4nnKjmVbH46rbMZzvTAQjVhWPR+efd05SsX/5v1aKw2RLC5bc/gCT5l4W/zaPTsvesqThi/at+4g+VVvn+CScQaoio2u5Dda93aeA4G0wr9q+/tWvh2WdhzZomE1EgCDqEZV4gCBRFReprEFtcCmyqaVRby6TL7XOS4zwIEBSZ7Atys/nwxceqPk+97nYGjWo6y0Fb4t87H6X020/YcsUN9Wo3Ib+cJKeXBJe3xuRDfxz8GoBzO13ld215m021oIS2/JxdIAhuFP9c0lsDZRXBy/7EzB8qS9fyq3vlZSV89upTVZ+nXj+dqNiEFpcjmNDbyhn60RusvvwG3O07qD7sTciazDkAjG1/3hHbfw6D7SYI8cGzOf5bIufNgw8/BFmGU09tUlEFgqBBKPMCQaCoVOaDOLHREzOj4GlwltY8YOc4D6KgYNaGEKaPakHpjsbr9fLeMw9gL1cTsg0adYJwiawFT2goq+56FDT1m5BJwIgiO9YaJuPp5XvYUrQaraStVxb7F16ABQvU1wsvrJdIAkHbJohzq9QXR4UCaPTDMh9nSubMlCsxaFs+Z8BXb71ASZHq4t936ChGnXhaHS3aOIrCmJefoOPieUQcPMCcj79v0u7zbPtJL9mCRtIyIvXMqu2ZOvgkUn1/dz4k1FFT/nBGjICyMjg7OKL/BIJmQSjzAkGgaAWWeVmnTrp0tViFqpITmVIC7n7406dvs2frRgBi4pO44vaHAi5TMJKycgkHh4wAa3i9FXkAjQIhtVjVDtr3YdVHMDhmFPEW/8tJrVwJmZmifJBAUMUzz8D8+TBlCkyeHGhpGs07X4WTfr0OTGCQ61bmu1j70MXah0xHLnILeidsXbuCFf/8AYAl1Mplt95/zI8lPX/9lo6L5+HT6Vh5x0NN3n+li32fuLGEm2IAkIGXK9zrh9lhavUpWmpk9Gj1Z5OY2MTCCgRBhIiZFwgCRStQ5u+/pRCAyNCaFbfKGsCByjRcyebVS/njm08B0Gq1XHv/U1hC20YG6Kak479zOenh2zj54VvBbKpX2wyjjhKdBotPrnXwGBE3ka/Hr+SxYe/Vq/9vv4Uvv4Tx4+vVTCBou6xbB3PnqglT2wC/LQyh1KuGb/mjzAPIstKiiryiKPzw8VtVn8+/9jYiY+Ja7PzBSPSubQx//xUAVt16P/l9BzT5OSpd7Me0P7dq2xwrbDKDSYansuuuKV8dpvoNcwJBq0Mo8wJBoGgFbvaVyWL9sczHGP23wDY1TruNj156vOrzOVfeTKdjvAZwdZiKChj5xrMA5AwcVu/Cu5+1i+KenklsDKt7dhRljqmXVR7UePnTThMx8wJBFZV15ttIaboLp5QRZvah9SkY/VDm95Zvo9CTh9KCyvz65f+StnMrAMkdujBy4rEdbG0qLmL8k/ei9XhIG3ciWy65qsnPUeTIZl/ReiQkRqaeVbU9zaC+Ts+HdvVwrwdIS4OcHDCbm05OgSAYEcq8QBAIFOVQ/eAgtsxXZrPX1TKPynGo2YYDqczP+fpjSgrzAegzdCQnnn1RwGQJWhSF0a89jam0hIKuPdlw7S31ar7HYmB3iBEF6F1WfQZ7gD2lW5EVGaux/sqHJIkSQgLBEVQq80E8TtSHi04rIzdzLysW7CfFUbt2Jisyt64+nUuWDCHfldki8sk+Hz998nbV57Muvx5NPRc92xJal5OJM+4gLDuT0sQUFj3+YpMnvQNYn/UXAN1ihhNtOeQTf1MBvH8QLi2uf58vvQRjx8J79XMQEwhaHcfuE0ogCCReL9xyi5rlK4gt88u+NdF+rYekQk+Nx2RVutmbAuNmn5t5kL9++AIAnV7PRTfcdczHNlZH5/m/037ZQnw6HQuffAVZb6hX+z9iVeX8+IJyoj3VJ+PKdWRw09LTuGbxibh8Tr/79njUn8NXX6nvBQJBBZWLvm3IXUVRQEaq02W6zFNMmC4CraQnyth05c9qY9W/c8lI2wNAx+696X/c2BY5b7BiLi7CXFyIyxrGX299ijssolnOsy7rTwBGHWaVBzAqMNbeMGXF4VCdzwYMaLx8AkEwIxLgCQSBQK9Xl43z8g652wcZigJ/3qhOICf8bIfI6o5RqkoHBcoy/837r+Ct0ABPPOsi4pJEgfL/YsnPZcTbLwCw7trbKOrWs17tD5j0rIuwICkKUzNrzkC0r2w7Zm0IiZZ2hOj9Vz42bIA//4RVq+DBB+slmkDQtmljbvYlZRpcbvDWXZWOcEMUX4xeRbYzF6+f8fWNwev18tOn71Z9PvuKG4/5heHy+ER+ffNzrLZSSjp2aZZz+GQvZS61asB/lXmLH/dJTbz/vjrVShFTAkEbRyjzAkEgkRsxUjUzigIP3VhAabkGk7n6iVSJpxCHz4aERLSx5dPFblm7gvXLFgIQHhXDlAumtbgMrYHRrzyBsbyMvB592HjljfVu/2uC6uI7ptBGqrNm0/nwuAnMGr8Ks1Ffr/5TUuDOO1V95Rj2aBUIjqaNudmPvqgdm3caeeOFHLoMc9fdANCix4t/xzaGpXN/JS/rIAA9+g+h58BhzX7OYMVUVIAzMhp0WpwdOuFsQNUTf9FqdDwy/g9cniKSw7oCsNIMYTKcYGtc3zExqkIvELRlhDIvEAQCm011n3T674rc0mg08NitBeQXaVjjNlZ7TKVVPtIQh15T/THNhdfr5et3Xqz6fM6VN2GyiJpm1bF62v8wlZaw4Nk3UHT1e+wfMOtZF65a5S85WFzn8XEhcUSao+p1joQEuP566Ny5Xs0EgraN16tqIpLUZtzs7WESHIAnQqL5eEuWX2181DPzWQPwuF38+sUHVZ/PuvyGZj9nsNJh0TzGvfAIS/93D7sumtag8qUNoWOkmrRWAd6Ohiw9vJkBExuh0ItM9oJjAWEDEQgCwZ9/qubIqVMDLUmtZGu17DXosGmrH8xdsoNkc0eSzB1bWDJYMPs7Mg/sA6BTjz4cN77112BuLgq79+SXWXMobd+p3m1/iVdzOowpqN0qn16+F0VRCDE0TOkQie8Egv+g06mLvjk5EBERaGmahD++yoB2UBJW9/Tz/d1PcvfaqawtWNTsci3+8xeK8tXyf/2Gj6Zzr37Nfs5gpMOieZzw9APoXC4Sdm4BbfOqCV7Zg9vnxKg1otGoJQvT9aoir1dghL1h/d5+u5qHZceOJhRWIAhShDIvEASCVlBjXpZhekQswwd24PeE6hW0/pEjmTliIXf0eqNFZXPYyvnl80Mpai+4/o5jOuNwdZiKC4nZsUUtzBse0SD/9f1mPevDzUiKwqUZxTUeV+DM5folJ3Pj0im45fp5m2zfDitWqHqLQCCogTYSu+3WqdfhT4357SVr2Vi8DJfcQI3OTxRF4Z9fv636fOal1zfr+YKVSkVeI/vYdcqZLJ7xQrPfd5tzFnD7nAF8ufHhqm0rKhZ2h9ohpAGpErxe+Ocf1Wai1TaRoAJBECNmvwJBIGgFZekycnR89ZcqX2115gFkWq4GMMC/v/+IvbwMgBETTqFTjz4tev6gR5YZ9/wjnHrH1XRZPK/BQYOz49T//9gCG+1qscrPzfgOn+IlzBBOqL5+9/Snn8Jll8GzzzZIRIGg7eOrvnpEa8RZoRz6U2O+Mowr1ti8lVJ2blpb5eXVpVd/Urt0b9bzBSNHKPJTzmLR4y+jtIAmvCN/GS6fHZ3m0Gru8gplfkJ5w/qUJDX53YwZ0P3Y+1cKjkGELUQgCASVlvkgzlDs9khQUb1MX8vEyyv7qEPXb1I8bjdzf/wKAEmSRNK7auj/9cekrFmO12CkoP/gBvdzYWYxUR4fF9SSwV5WZP48+A0AF3Spv0UrPByio2HSpAaLKRC0Tdasgfvvh44dYfr0QEvTJLz8dSTcDTpv7YOGy+ekwJ0DQEwzlz1d8Nv3Ve9POO3cZj1XMNJ9zg+MfOO5Q4r8Yy+1iCIPcH6fhxidej7twtVQvVINbKtIv9PQ5HdaLQwdCmedJRKqCo4NxG0uEASCVqDMd2rn4ZQT1aVxXQ3zrptXTeH2NWeS7djfYnKtWPAHxQV5AAwYMY6Edh1a7NytgQ6L5zPkk7cBWHbvYxQ1wsoU5fFx676CWq3y6wuWkuU4QKgujMmp59f7HPfcA1u2wIQJDRZTIGibHDgAf/2lKvVthK//UUO2dHXktMtxpgNg0VoJ0TafB1tJYT5rF88HwBoeyaBR45vtXMGKpSAPjexj56nntKgiD+qCfM/YYSSFqWXvVlpAlqCrC5IbmfdQJL8THCsIy7xAEAgqlfnw8MDKUQuSBN6KxHfaakzvHtnNnrItyMiYtS2TRV6WZf787vOqzyefe2mLnLe1EL1rG+OeV2MPt0y9gp1nX9io/oyygqEOt4vfD84C4NQOF2HWNSyLXWioiG0UCI6iMhyrjWSyBzjjVBvfY8Wk1F6WNavSxd6U3Ky13hf9+Qu+ijCG0Sedjt5gaLZzBSvrLr+Bon6DSJs0pUVzMyiKgiRJmPXmqm0rKt6Ob6CLPcDXX0O3btChAxyD/07BMYiwzAsEgaAVJMADcFcM7NW52WskLW8MncOdPV8jTB/dIvJsXLmYrIrYxq69BxyzGYerw5Kfy4mP3oHO5SJ9xFhW3PVw3Y1qwFFRiijEW/uEu9iVz7KcuQBc2AAXe4dDnTuKTPYCQTVU1phvQ8r8+WepuU7MUu2LhIfi5ZOaTRbZ5+PfOT8AqoV43ClnN9u5gonYbZsY//jdaF1OMBkhLpa0k05tcUX+iYWn8tHaOylzFwLgAdZUxss30MW+pAQefhguuABKS5tGVoEg2BGWeYEgEEyeDLGx0KVLoCWpkX3pOnZp9NClejd7raSlk7UX4cYkHF5Xi8j057efVb0/6TxhlT+cbn/+TEhBHkUdOvPPc2/Vu558JQrwVNd4TD6Ze3fn0b62xHeZP+BVPPSOHEKPyP71Oo/HA6NHq9aTv/+G+PgGiSsQtF0qlfkgX/StD5UJ8OrKZp/tVJX5mGZMfrdx5WIK89S4/L5DRxGT0HwLB8GAzulg8Cdv0/unWUiKQtmsj1h1z6MBkSW9ZCv7izeRVbYbi/4jADaZwK6BKC/0rV9RlCrKy9X8K2VlEBPThAILBEGMUOYFgkBwyy1gt8PBg4GWpEbSMvRkWNUs6LpaJl4+uXbrbVOxe+sGdm1ZD0BSakf6DRvdIudtLay/6Gq8oVbSTj0Lj7Xhk/99ZgNZJj0GWSbGU3PQoqIo/JGuuthf2OW6ep9n50514pWZqa5rCQSC/1DpZh/SMmFMzY2iQKmsOoTWpcxXutlHN6Nl/p/Z31W9P/7Utp34LnH9Kka/+iRhWRkA7JpyFhtuuC1g8qzL+hOAgYkTMVWEZ0lAbyf0cDXcbTg5GV5/Hdq3bxo5BYLWgFDmBYJAEeTlhlISvMQmeMlDh76auOmleX+S6UijnaUPyZbm9zA4PFb+pHMvFXXlAWQZSZZVK7zJyObrbm10l8ui1InViEI7Ib6aJ9wbC1eQYU/Dog3hlPYX1Ps8vXvDokXgdIqMwwJBtVRa5oM4UWp9yM7TcvMV8XC2wsjTHbUfe1jMfHOQm3mQLWuWAxATn0Sfwcc1y3kCjTUznUGfvUeXf/4AoDwugSUPP8vB0ScEVK71WX8BMLr9OVXbBjphaGbjE99pNGA0Nq4PgaA1IZR5gaClURTVHClJ6vsWjFOrD107eIiJ95GHrlo3+/nZP7I4bw4XtJ/e7Mp8TsYB1i9bCEBEdCzDTzi5Wc/XKlAURrz1PKF52cx/5AV8ERGN7tIjwYoIVZk/Ka+s1mN/P6iWBzyl/QWE6BsW05uQAJ07N6ipQND2cbvV1zaizLs9EiwH8zqFScPt+GoY+hRFIbsim31MM1nm//39x6r346acjaaNZuAcMOujKkV+2zkXs+r2+/GEBvZ+yrelk166FQkNw5KnHLEvRGm4VV5R1Dws0S2TwkcgCBqEMi8QtDQ2G6SkqO/XrAnq5EYf5OSwudRAlO1oL4KqmMZmrgEMsOSvX1EqvAMmnHkBOr2+2c8Z7Az+5G16zf4ORZJI2LeTjKTGT3o3hJmx67REub30L605aLHUXcSSbNVN8sKuNzT4fGZz0K5lCQSB5/PP4f33Ye/eQEvSJLRL9FKyZjcZOVoOSjVPP0s8BTh9diQkoo2JTS6HoiisXKhahrVaLaMnnd7k5wgIikLctk14TGaKOnUFYN2l12F02Fh34x0U9OwbYAFV1mer332vuFGEm44MbA9thMPi/v1wyikwYACsWiXGFsGxQ6OUeZfLhVH4sggE9aMyDlKrDepYSJ8PhtucRBT5SK/mUXEo23DzKvOyz8eyeXMA0Gi0jJw4pY4WbRxFof/XHzNglpo0aMl9T5Ix6vgm6XpplHo/TswrpzY71bzMH/EobrqF96N35KB6n2fTJvjySzjjDLjssgYKKxAcC0gStJHFS40GwkJl7A6J9FpSrVTGy0cZ49Frmr622L4dWyjMzQagx4ChWCMim/wcLYaiEJqTSacFf9F17mwiMg6wd9yJ/PPQcxAaQnlCPH+//nGgpTyCdRUu9qNSzwLAJsFXETClDDrWnG+1TjZvVuctBoNQ5AXHFvVS5n///XdmzZrFokWLSE9PR5ZlQkJCGDhwIJMmTWLatGkkNYF1SCBo0xxeYz6IR5wvfrVy+T2JjB5m58EXCo7YV+Ypptyr1n1pzmzDANs2rKYoPxeAPkNHEB557PrQad0uRr72NN3+/g2Albfcy47zL2mSvkt0GjZbTQCcmF97kd/hcRMocuUxOH5kg2pAL1wIP/yg3v5CmRcIaiHIc6vUl/VGIxsjDPjsCknO6q8txpjAtV0exu6rPa6+oaxe9HfV+yFjJjbLOZqb7nN+IGnDauK2bCC0YnwE8JjMuCOjIDoqKOcX5e4iduavAGBkuzMBWBgK30XAWjPM2a8mwmsIp54KQ4a0magUgcBv/FLmf/zx/+yddXhVV9aH3+s37q6Q4BbcWigFSkvd3aY6dZvKTFvarzOVqc9UmLq7K7RQaEuLuwdC3N2vn++Pc28IELmamxv2+zw8OdycvfdCcs5ee631W19yzz330NzczMKFC7nnnntITk4mKCiIuro6duzYwbJly3jkkUe44ooreOSRR4gT8sQCQdc4nHkv1Dj7ErNZfqWquiiYd0TlIzWx6FR6n9rx58/fdlzPnH+qT9fqzwRXVzLvkbuJy92FTalk3W1/Z+dl13pt/jVRIdgUCoa2GEjroR0dQHJwBreO+SexIe71/pk1Sxa+O+kkt4YLBEcH550nO/O33TYgejcWlqr5izaBzTP1XF7QwIXFXetyxOmTOSv9aioM1Vi83C1FkiQ2/v4LIGd6jZ8x26vzew1JIrSynOj8fUTn7yeorobVN93T8e3sZT+QuGsrADaVisqxE9l3+nkUzF+IOaT/lu5tq1iOhI3MyDEkhg0C4Ce7uWc3ue/IO0hPl9udCgRHE0458//+97959tlnOemkk7pUkD7vvPMAKC0t5b///S/vvfcet99+u3ctFQgGCg5nvp/3Dr709CY2X6mjpl1Jc5WSMMvBTVW5wbdKww7aWlvY/OdKAIJDw4/qdnRqk5Hw0iIMEZH88u+XKJ/qvb8LCfgzSha+O6G656i8gzCd++GPsWNh+nS5jZBAIOgCSYKvvgKzGW71vEtFf6CgVMNm9DATtE746FbJ+21P83N3UVtVDsCInMmEhkd6fQ13Sdm4htQNq4nN3UV0/j60ba2HfH/DtbdhDo8AjZrccy6itGYeleMnUz06B0tQsJ+sdg1Hiv2MtNMBKNLAHj2oJDi9yfP5g4I8n0MgCDSccuZXr17t1GQpKSk8/vjjHhkkEAx4HDXzERF+NaM3tFp4NTECk1LJKTWtdHbdHJF5XykNO9jw2zJMRiMAU+csQKP1fv1kv6ZTt4Om1HSWPfESLYOyaElJ8+oyLSolCkBjszG7trXb+1otzfxnxz9YmH4BmZEXebRmcGDsPQUC/2AwyI489GuRVFdIirOQFWUiD22PfeZ3NqxHpdCiUUagU3nXO9v4+/KO64nHzvXq3K4QXFtN0pb15M05saM35+Bff2LoTwcz0axqNQ2DsqnPHk7t8FEQFQlhchBg31kX+sNsjzBa2tlZtRKAGelnAQej8se0QpwHFSV//glLlsA558i/BIKjCZcF8AwGA3p912m15eXlJCW5rjz64osv8uSTT1JRUcG4ceP473//y5QpU7q9v6GhgX/84x988cUX1NXVkZGRwXPPPcfChQtdXlsg6HMckfl+XtglASb7JkN9WJ/5inbftg1ysNpeGw4cdcJ3+oY6Zj31ELtOP5+SacdCZAQVxxznk7XCrDYW5VZiUigIs3YfDVtZ9i2/VnxHUes+Th/snjO/ZYscPUnz7nmEQDCwcBz6KpX9WijVFYYOMjMsWXbmdT0488/vvZei1n3cPvwFRkVO9dr6coq97MzLKfbHeW1uZwitKGX4D1+SvuY3ooryAWjIyJIdda2WorknYomIoHrsBGqHj6YxczA2zcA5wN5d/Tsmq4HY4DSyonOwAsvtzvy5HkblV6yAjz+G6GjhzAuOPlx25idMmMAHH3xATk7OIZ9//vnnXH/99VRXV7s038cff8wdd9zB4sWLmTp1Ks899xwLFixg7969xMfHH3G/yWRi/vz5xMfH89lnn5GSkkJhYSGR/bz+WCDoYPhwuOKKft9g+5f1QTBUvj7SmXdE5n2XJ11ZVsy+nVsASE4fRObQkT5bq7+RtGU9xz3xAMH1tUQVF/DJCacg+XhTF2yVSDNberxnbPRUTk+/nAnx09wSvgP497/ljoxvvAFXXunWFALBwKexUf4aHt4vhczcpd1+QKzpwZmP1sbTZG4gRpfo1bUL9+2mprIMgOE5kwiLiPTq/F1is5G6cTUjvvuMtHV/oLC/SyWFgpoRo9HotBAri7oWLjiVwgUDVxemuHEXANPTTkehULAhCOrVEGWB2c5Vd3XL/PlyNuFZZ3nBUIEgwHDZmT/uuOOYNm0aDz/8MPfccw+tra3ceOONfPLJJ/zrX/9y2YBnnnmGa665hivtu7rFixfz/fff88Ybb3Dvvfcecf8bb7xBXV0df/75Jxp7u5ZMoXYhCCROPFH+lZvrb0t6ZPmGYLhYvtYcFqzti5r5zlH56fNPcdt5DCQiivKZ8N4rDP5NVluuz8zil6cWI+l8H53prInQHWmhWfwt50niQtwTOJUk2TcJCpJF8AQCQTc4nPkBkmIP8s+/wf4c7yky//j4D2k2t9Jo9tDDO4wNnVLsJ/VRin3KpjUseOC2jt+XTpnJ3rMvpHTaLEx9cZjQjzh1+G0cN+hSYoPlw4uf7MmJpzaDp2+4KVNg7lxwIzlYIAh4XHbmX3rpJU4++WSuvvpqvvvuO8rLywkNDWXdunWMHj3apblMJhMbN27kvvvu6/hMqVQyb968buv0v/nmG6ZPn86NN97I119/TVxcHBdddBH33HMPKlXXnZGNRiNGe90tQFOTF1Q2BAJP8LJCry8YPfrgz0znyLzVZqHKUAr4LjJvs9n40+7MK5RKph8/sGXPQyvKmPjOYgavXIrS/n9jzxkXsOaeh7H6UNGnTKdmTVQIC6ua0Erdb647E6Z1vzxEoYDFi+VGDqLhydGJeB87Satdu2KApNgDvPNVOKtP0MN40Fp7ft54W/xOkqSOlnRyiv0cr87faSGCa6poi5O7D5RNmEpt9jDKJ89k9wWX0ZQx2DfrBggpYYMI10fQqoC1dt2Ucxq9M7cQvxMcrbjszAOcdNJJnHXWWbz88suo1Wq+/fZblx15gJqaGqxWKwmHtVxJSEhgz549XY45cOAAv/zyCxdffDE//PAD+/fv54YbbsBsNrNo0aIuxzz22GM8/PDDLtsnEPiE2lpQqQ4RN+uPzDvuYI9fVad9V7WxHKtkQa3QEKn1jUeWu30TdVUVAIyaMJXImIHt+ekb68n+5UcACmbPZ9ONd1E/dITP1/0xPpzV0SE0alQ8sK+q2/uMVgMv7X6IE1LPITPS84LEiIh+/V9f4EPE+9hJ2trkrwNIKdJkVoBe/sHv7fDQKnmghtYFhfv3UFMhp9gPGzfRJyn2YeUlzH5yEaFVFXz6xudYI6ORQkL46tOfjvoHnsVmRq3UEKSRPe7terAoIM0Ew0yezb1jh+zIp6d7wVCBIAA5ss9cL+Tl5TF9+nS+++47li5dyt13381pp53G3Xffjdncc29ib2Cz2YiPj+eVV15h4sSJnH/++fzjH/9g8eLF3Y657777aGxs7PhVXFzsczsFgm457TSIioKff/a3JT1ism8+NDbpkN6vZpuJnKiZjIiYjFLh8iPEKRwRFIAZ807xyRr+RN9QT9qa3zp+XzNqHBuvu52vPviO5c+/3ieOfK1GxTp7O7rzyhp6vHdV5RKWlnzCU9vuRMK5CH5XWCzyOZZO5/YUggBHvI+d5JRT5B+Yjz7ytyVe45LTmkgdJO8Tdd1E5r8vfZcr/zyGTwr/69W1O79TfJFiH3VgH6fccTUJu7aha24itrIMwsNApTzqHXlJkli0fB7P/Xkpde1yW8BBZri6Fi5p8Hz+J56AhQvh/fc9n0sgCERcjszn5ORw8skns3TpUiIjI5k/fz4LFy7ksssu4+eff2bz5s1OzxUbG4tKpaKysvKQzysrK0lM7Fr4JCkpCY1Gc0hK/YgRI6ioqMBkMqHtonWVTqdDJ3aPgv5CgKjZO5x59WG1jWkhWTw+/kOqDfUYbR4eqXeBJElsXfO7vLZGw9gpM72+hl+w2YjfvZ2sFUvIXv4DSouFT9/5mrZBWaDXs+Wvt/epOUvjw7AqFIxrbGdYa8//jktLPgHg7MF/cfsAp65OrmmcOBGWLhUpkUcr4n3sAiqVrOpl8v5z1h8E6SVMantkvpua+bL2IsoNRbRZvVsvv/mPlYCcYj/Byyn28Tu3csKi29G1NFOXNZSfXnyH1kTfdnoJJEqb9lLZmk+DoZIIvZxll2CBC5ogzcMYoCTJ7xK9HqZP94KxAkEA4lbN/KWXXnrIZzNmzGDz5s3cdtttLs2l1WqZOHEiy5cv54wzzgDkyPvy5cu56aabuhwzc+ZMPvjgA2w2G0q7Kmpubi5JSUldOvICQb/D4cz38z7zdz8XC8+Dzdj19630rHzuLoX791BfI6d8D8+ZjD44cGtGFVYrsft2k/nHCgb/+hOh9tIBgJpho9CplLR10+rTlzSolfweLf+9XthLVL6srZBtdWtQoODswX9xe83Vq+XM4cZG4cgLBE7jpJZFoLClsJCNVTqkbiLz1XY9lmit95TsayrKqCyVRVuzRowhLDLKa3OnrvuDuf+6B7XRSMXYCfz8wluYwiO9Nv9AIDViOP+ct5IWYwV69cGyEb0XZBEUCnjlFVlY9bCKXYHgqMFlZ/5wR95BWFgYr7/+ussG3HHHHVx++eVMmjSJKVOm8Nxzz9Ha2tqhbn/ZZZeRkpLCY489BsBf//pXXnjhBW699VZuvvlm9u3bx6OPPsott9zi8toCgV9wOPPh4f61oxdMRgXkQoTu0DeuVbKiRIXFRyJ+W1b/2nE9ftpsn6zhU2w2uTc0MOi3Zcx54v6Ob5mCQyg8bj55J59F6YzZfku//DAlCrNSybBmA+OaDD3e+1PJpwBMT5hLcoj7RYknnyx3ZRxAJcACge/46CP48kuYPFkuzRoA/LY+iDVb9IQn2hg0petsA4e4arQX29Lt3LSm43rUxGlemzd99a/M/ec9KK1Wimccx/Kn/+dTwdJAJiVsCEnJh77Pg7x4TiV0WARHM24J4HmT888/n+rqah588EEqKirIyclhyZIlHaJ4RUVFHRF4gLS0NJYuXcrtt9/O2LFjSUlJ4dZbb+Wee+7x1x9BIHCe9nZwKDn388j821dVUF+kJLddA5EHP79/y6Xkt+zmssH3MzbqGK+vu2X1wVrycdOO9fr83kZpNpOwayupG1aTuv5P9s89ie3nXgZA2eQZGEPDKZ02k/wTT6f4mOOx+iES35nN4Xo2RgajlCRuLailp/2P1Wbh59LPATgv+1qP1x4zBlJTPZ5GIBj4bN4Mn3win34NEGd+6apgHl0cw/lnNvXqzMd4MTK/a9PajuuRXnTma7OG0ZiaQe2I0fz2yLNI9nbJgiPRqw++9z4PhzYlXNwAoR7GBCRJPjv382tVIPArfnfmAW666aZu0+pXrlx5xGfTp09nzZo1R94sEPR3HFF5pbLftxyKirARGmyjtFpNWyeXr9JQQoO5Fp3K+xGI6opSSvL3ATBo2Kj+qWJvsxGdv4/kLetJ3rKBhB2b0ba3dXw7deMatl9zM2h1GBITeP/XrUjdtM3sa9qVCj5IkVNMzypvZHBbz7W4G2p+pdZYSYQ2mrkpnjsUA6hltkDgWxyt6QZQKsv4EUauOKuRwcO7fu6YbEbqTHKJlbci81arhd1b1gMQHBpOZvZwr8wL0JqQyLdvfo4lIrLfPOP7G8vyXie3Zh1nDL+ZKWlyi9nvwqFcA8e2QZYHNfOSBPPmweDBciKL6DEvOFrpF868QHDU0LleXukbJXhv0lW55vOTvqGw9QB6lffqDh1s7aTwnjO9H6XYd0qdV1qtnHLnNWgMB1v3tUdGUzJjNiXHHk/p9FmHhAn60ybvi6QI6rVqEg1mLi1p6PX+pfYU+9MyLkGrcl+07Ikn5L/Ce+6Re8wLBIJeaLELwA0gZ37+wjYWXxXBvnYNk3YbjminVGuUNUU0Sh1hau+8Xwpyd9PW0gzAyPFTUHr4PNY31BG3dyfFU4+F8AjMQSIk3BNrir+ioGErM9NPB6BSLTvyKgkmt/cyuBcOHICSErnbb0yMF4wVCAIU4cwLBH1JcDBccYXccqif8/EPoRSWakgdayYm82DP3zBNJBkhw2g0e1dtGGBLZ2fe3yn2Nhtp61Yx7MevCK6v5Zv/vC1/HBRE8YzZaIwGyqYdS9nkGdQNHdHvD2ckIMgqoZIkbs2vQdeLsFa9sZq11b8AcF72NW6vazLJ2cItLXDddW5PIxAcXQxAZ75ZqWR5SAiqIKnLvsiOFPtYXSIKLxVA7+pULz9ywlSP5lIb2jnhwduJ3beb3+/7J/vO61pDSiBT11ZGQcNWFCiYkX4GAFvtZx8jDZ6n2Gdmwtdfyz8qQv9acDQjnHmBoC8ZNAjefBNKSw+mUfZTHimMZueTetLLzLxSWHHI9yyStZtR7tPa3ETuNrm1ZVxSCskZWV5fwxmUJhNZK5Yw5vP3iCrK7/g8rKmB5sHZoFax4plX/GKbJyiAsyoaObu8kRRj74dJy8q+xCpZGBU1iaGRo91fVwGPPw6bNsGUKW5PIxAcXQzANHuD3UHXddOWrkP8Tuu9fOmdGw/Wy4/y0Jk/5tl/Epe7C0N4BJVTB0jLVB+yuXwpACPiZhAVJOtgbbFX501v626U86hUsqhqdrbncwkEgYxboaSTTz6Z8vLyI64FAoGTWL3vDHubcWNMoAa19uDGa2fDel7KfZA/qr73+nrb1/+BzSb/veRMm+21yIyzKCwWRn71EeddcTqznn2EqKJ8TCGhbLv0Wr74ZCnNQ4aCuv+kzLtDqMXmlCMvSVKHiv15WVd7tKZGA/Pnw8sv9/vkBYGg/zAAI/N3/SdWvugmvbrKUAZAjM47PcbaWls4sGcHAImpGcQkuH9IkPHHCrJ+/QmbUsWy51+nKWOwV2wcyGwqXwLAMelnAXJ22BZ7ZH6GF5x5kCvaxHtFcLTjVmT+t99+o729/YhrgUDQC45oSwA486ed2MIHhBPeqRns7qZNfFPyFtNiTyQn+nivrtdZxT5n+iyvzu0Mg35fxvTFTwPQGpfAjouvYu85F2MODetzW7xJjUZFpNmKXoJwi3N5jbsbNlHcmodeFcwpmRd6bINWK9IgBQKXcDjzA6jVWZNV9rpU5p4j81Fa7zjze7du6DggHjnBfRV7bXMTM154AoBtl19H5XiRYtQbzcZacmvkrIgZGbIzX6KBOjVobTC+546ovVJQAJ9+CgsXQrr7HVMFggGBOM8SCPqSp56SJb3vv7/3e/2MyR4ZV3dKiTyYBumdzZYDs8nE9g1/AhASFkH2qHFenb87FJ20C/Jnz6dk8kz++Pu/+OSHP9hxxfUB78gblAqezorn8SEJWHD+gb+7QS53OCH1bEI14W6vv3evXC/f5qUojEBw1LBhA5SVwTTvtVLzN7de2wBAhLbrQ8XqjveLd5TsO/eXH+1BS7qprzxLcH0tDRmD2XL9bV6wbOCzpfxnJGwMjsohMTQTgM32qHyOAfQe9pj/7Td47TV44QXP5hEIBgKiZl4g6EscavYB0KPL4cyrOr10O5x5nXd7wOzdthGjvb3b2KnHoFL5/tGUvex7xn7yNl//5x2sEeFIoWEsffVDn6/bl3ySHEm1To3NZCHK4nw2yNmDrmZO8qnEh8Z7tP6XX8oSEbt2wQcfeDSVQHB0oVLJ74nmZn9b4jX0kfLLJKgb8c0qo5xm7622dI56eZVazdCxE9yaIzZ3F0N//g5JoeD3h5/CqhPq9c6wvvRbAI7NOLvjs61erJcfNgzOPhtOOMHzuQSCQEc48wJBX+Jw5sP6f8T3wcUx8BAYmw/Wrld5OXLiYOva3zuuc6b5NsVebWhn+ov/ZujP3wGQvWYley+43Kdr+oOtYXp+i5EPjf6WV02I1bVQyJCokYTr3I/Kg9z/d8wYOPdcj6YRCI5Oeuk4EWi02w+INd38ua7Kuo/C1v2kBHsuflpVVkJ1eQkA2SPHoQ9yT3ugZsgIVtzzCBG1VVTlTPLYrqOBZmMte2rkTLvZg+QyLRsHley9US8/dSocdxykpXk+l0AQ6AhnXiDoSzr3me/ntFjs9Y3Wzmn28uYoxkuREwe7NtkjKCqVx4rDPRFVsJ85j/6dqKJ8bEolm6+9ldxzL/HZev6iWaXkrbRoAM4obySnyfkCxUZTHZHaGEI0IR7bcd55cO21EBfn8VQCwdGDJMHFF4NaDbfdFhCZXM7wy5ZgSKFbAbzpcScwOnKmV9qe7trsJRV7hYIDp549YP4N+oKNZT9gk6xkRY8nOUw+mDEp4Kwm2KeF0R7WyzsYQNqQAoFHiJp5gaAvcTjz4Z5FPPuCv17eCEBEkFzf2GpppsXSBHjXma+rrqSytAiAQcNGow/23InsitjcXZx665VEFeXTGhPHj//7kC3X346kCmyF+sORgHdTo2jWqEhrN/GX4nqnxxa17OfCFVP555YbvGZPWJjcnk4gEDiJwQAffgjvvutvS7zKt2tkh9jaQ+WAt9qe7tzYqb+8G/XyuqYGVEaDfKAiHHmXWF8qZ73Nzryg4zO9BBc3wCulnkcRDxyA6uoBpQ0pEHiEcOYFgr4kgCLz4VGyE69VyJH5anvboBB1OHqV9xzuPVs3dFyPGD/Za/N2JqS6gvmL7kBjNFA+fgpffbqUisnTfbKWv1kXGcymyGBUksQ9+6vRupCqu7n2D2ySFaVCgUrp/iGHJMn6XQqF2HAJBC7T0ikyPYB+gKbGtJP4p5mhjaYjvlfWVsCqqh8pac3zeB2r1cKeLesBCA2PID1rmMtzTHrzRc6//HQy1//hsT1HEw2GSnJr5IOU2ZnnH/K9WAt4o6nJ44/DMcfA++97YTKBYADg1gFZRkYGGo3miGuBQNALARSZ71Czt/uClfYU+1hdslfX2W3fdAEMH+ebmkRNays2tZq6rKH8/N83A16lvjsa1EreT4kC4ILSBrLbjtw098TpGZczOW42sSGxHtmxfbucJTxoEOzfL/oACwQu0bnH/ADKHPpoYQWtbQrWNOmxHJats7Z2Gf/b939MjpnPdUMe9WidkgP7aW+T28AOHzcZpYsPoJDqCob8/B0qi4W2RO+KvQ50Cuq3olSoyYoeT2xoBq9FwRlNkGWCUC9IQEiS3B1FoYBJQsJAIADcdOZ37NjR5bVAIOiF006DkpKAKCJu+ULBGUnNTEiSC9wc4nfeTLGXJKkjgqLV6Rg8fIzX5u5MQ2YW3/zvY5RBugHryEvA22nRtKmVZLUaubCswa15RkbnEBUU5ZEtJSXyedXEicKRFwhcplV2RAdiUbAkyc+qwwlVRzA8fDypXhC/279ra8e1O21Ox3z6HiqLhbIJU6nyUbbYQCUn6QSeOWkjWhW8HQWfRcKfIbA03zvzKxTw3nvyGdegQd6ZUyAIdIQAnkDQl7z8shydr672tyU9YrXC09fKAmoXftMEkZ17AHuvx3xlSSH1NVUADBk1Ho3WG0l4BwmtKKUlMQX0OtoTvWd3f8SoVCABapvE3/KqOzIqnKXd0kqQOoRQref1oQsXwoknQpRnZwICwdFJ58j8AEOSQOpCQ2N+0rnMTTyHsvYqj9fYt3NLx/WQUTkujdXX1zJsyVcAbL32Fo9tORqJDU5mR1wMn0TKv7+jxjvp9Z1JThYHxQKBA/GjIBD0NTabvy3oFZsNzj2xmYWzW9DpZK+w0u7MR3mxLd3uTvXyw70cARm88ifOueZcsn79KSA0CjxFb5O4/UANz+8oJbPd7NLYGkMFF6yYwuNbb0XqMm7mOjExkDCwz08EAt8wQJ357EszyfrrIPZUdF2aafWC+J0kSeTt2gaATh9E6uBsl8aP+eID1CYjVaPGUTb1GI/tOZowW+UsvtqQIJ61V2r9pQ5O7UHw0B2UStDrvTunQBDIiMi8QNBXWCxgMslf+zkaDXzyfDk19Uo2mnRA5zR779UQ7ulULz/Ci/XyuqYGpr38FCqzmYiq8qNGTj3SYnW5nzzAT6WfYbS202CqQavyLIbS1ib7IGEDs5pBIPA9jjT7EN909vAXRVepMV+r5OftIQxtaDjkezbJhhXPD7rrqio6sr0GjxiDSuX8Nlfb3Mjw7z4DYMt1tx417w1v8eSqC5A0QbRfsQyDEia1wZ013pvfZJKzviZMgHfeCQjpIYGgTxCReYGgr1i/Xt6czZzpb0uc4pegIN6OCyc/WI6ijIycxJjI6STo070yv81mY8/WjQAEh4a5pTjcHVNeeY6gxnrqBw1hy/W3eW3e/ojDddfZJLcceZtkY2nJJwBcmH29R7bYbHDSSbL4XWWlR1MJBEcvp5wCdXXw6qv+tsSrnHqSfEgRGXRoBN5oNXD6yqFct2YOBmurR2t0TrHPHulavXzqhjVo29uoHTKc4mPnemTH0UajoZoD9VvIP+ZGKoL0xFrg+XLvRgy3bYPiYvjzT3FYLBB0RkTmBYK+whGJCJBWQ29GRPBeeDjXHKhnUJuZa7L/QaulnXpTk1fmLzmwj9ZmuZf9sLETUXpJtTl501qGLvseSaHg94efxKbxdrVe/+Lt1ChsCgWXltQTh+tpqptr/6CyvYQwTQQnpp/rkS179kBFhRydT/ReNYZAcHShUsmCE42NcjhygKCLkA8bgxWHHjrWGMsxSyYaTDXolJ6VFngifndgzgLqs4ag0WlFVN5FIvRxnHF5Pl9lpqOS4D9lEOt51cQhjBkjR+QVCvHPIxB0xunI/LJly3r8vs1m45///KfHBgkEA5YAaktXXK7ms19kIbTOQmreqGl0sHvLuo7rETneqZdXGQzM/O9jAOw691Kqx07wyrz9lTqNitXRIfwZHYJJ6d7u5sfiDwE4NeNi9GrPDppGjoRff5X7/+p0Hk0lEAgCQF/FFdrtimVa26HOvKPtaYwuCYWHXtq+HbIzr1AqyRo+2uXx9aPGUjVuokc2HI0cCNbybXoaAHdVw0SD99fQ6WDGDLjkEu/PLRAEMk478wsXLuSmm26ira3tiO/t2LGDyZMn8/LLL3vVOIFgQBFAzrzBqMAgyY8HtU3CaDVgshqweNWZ79Rf3kvO/IT3XiG8vJSW+EQ23nqvV+bsz/wcG4ZVoWB0UzvDWl2P4NUbq1ldJR/UXjDEsxR7B+npcpawQCBwky+/hOuugx9+8LclXsNkgn124Tu15VBnvtpQBkCsh3osbS3NlBXmAZA2aAj6YOc1BzStLaAAggaW6GBfYJNs8rtIqWBeM1zZ4Lu1Qj1vtiIQDDicduZ///13li9fzrhx4/jjjz+Ag9H4iRMnMmzYMNFzXiDoiQBy5tOTLRwzQz6400jwa9W3nPbrUJ7bfadX5reYzeRu3wxARHQsSWmZ3plXp8emUvPn/Y9iDhnYb/1WlYLfYuTN6vlljW7N8XPp51glC2OiJzMscoxX7BKbLYHAQ1avhldegS1b/G2J12htV7KzRE7X0R6m7eEQV43Wedb+Im/3NiRJnjvbhZZ04aVFXHTBAo574gHwUjePo4mPtj1E04cncm7ubh6plM9EvM1nn8HixQe3UQKB4CBO18xPnTqVzZs3c++99zJnzhyuvfZa1qxZQ3FxMR9++CFnnXWWL+0UCAIfx1soAJRbdFqJoFB5U6O2SVQaKwDQq7xT75+/dycmo5yHNyJnsseplQ42X3otuRdcSquXDgf6M7/GhGJUKUlvMzGpsd3l8TbJxpKSjwG4IPs6j+1ZvBhKSuD22yE21uPpBIKjF0drugDRV3EGpRIiE6w0oEJ/mMNcbZQj85GaeI/W2L9zW8d19qixTo8b8vN3qM0mtAaDaF7uImarkTUlX9JmbuSO8iKik0b4ZJ2334bcXBg7FoYP98kSAkHA4pIAnl6v59lnn6WqqoqXXnqJkJAQNmzYwLBh3lOhFggGLAEUmQcw2R1stSRxQcZNLEy+hJK2cq/MfWiKvfda0qHX0Zo48JubmxWwLFY+FDqvvNGtSMi2ujWUtRUSrA5lYcYFHtv05ZdQUADnnefxVALB0Y2jNd0A6jMfEWYjPcNCAyp0UteReU/bnrqjZK+wWhny83cA5J55vkfrH41srVhGm7mR2KBkjk2Y55M1bDa47DJYvhxOP90nSwgEAY1LR5B5eXnMmjWLX375hcWLFzN69GiOO+44vv76a1/ZJxAMHCZMgNNOg+xsf1vSK+VVKkrq5LM+jU1CoVAQog4nQhvjlfn3bO3UXz5nikdzKawWjnn2n8Tm7oTQ/p/14A1WR4XQpFERY7RwXG2LW3P8WPwRAKdmXESw2rN+1pIEDz4IV10FJ5zg0VQCgcARmR9AzjxAu/2A+HABPEfNfJTW/YNYi9lMQe5OAGLik4iOc26ulE1rCKmtxhARSdFs3zijA5UmtZIv4/SgCeGMzEtRKb3TkeZwlEo491z49lu5yYNAIDgUp535F154gXHjxhEfH8/27du59tpr+eOPP7jtttu44IILuPTSS2lwtN4SCARHctNN8OmnMK//bxh25WnJq5BbujnU7K1utD3rCovZzIE98qYrNjGZmHjPepgN+ek7hi39mgUP3IbKYvaGif0aG7A0Tj60OKui8ZBuA87SaKrjz8qfALjAw97yILcJmjkTnn8+YBJPBIL+ywBMswcwdOHMS5LUkWYf40HNfFHeXkxGI+BaS7ohP8lR+byTzsCmFS04XOGzWA2Vk6+Acz7i7MFX+nQtlWrAnW0JBF7DaWf+wQcf5H//+x+ff/45cXFx8mClknvuuYcNGzawe/duRo0a5TNDBYIBgdXLjVd9RFS4jbAo2ValzcYj26/jf/sexmBt9Xjuory9WMyy8rqzqZDdoTa0M+G9VwDYcvUtWPV6j+3r72wN11Op1xBisXJSVbNbcywp+RizZGJk1ARGRo/3il0KhdhsCQRewZFmH+JZxkx/YkeuFtM5CrJvMJLSbun4vNFch8lmRIGCSK37NfP7d7reX17X1EDGml8ByD3T81Kjo4kKnZrVcXKm3uDt3zE43DfltuXlsHSp6C0vEPSE0878zp07ufjii7v83qhRo1i7di3XX++d1kYCwYCkvT1gnPkJo4wkp8m2GkwN/FH9Iz+Wvoda4Xnkwp1NV3eM+vJDQmqraU5KYff5l3pqWkDQpFaht9o4qaqZYJt7ysvDI8YzOe44Lh96q+f2NMFbb0FFhdhsCQReYQCm2be2K6n8Ro3hayUhndTsq+318hHaWDRKrdvzd66XH+Kkkn3WiqWozGZqho2ibthIt9c+GvksMQJJqYK933C53jsHwl3x7bdwyy1yYqNAIOgapwXwkpJ6FiZRqVQ88MADHhskEAxY4uPBaIQff4S0NH9b0yu7CgrYXqXhl4a9AERp41ErXdLM7JK83QcVh7NGOK84fDj6hnrGfvoOABtuufeoSZGcXdfKrNpWIi02t+cYFzON2SkLiAqK9tieVavgscfg889h716PpxMIBCtWQGWl/L4YIIzKNrL20yIKGw+tq65ypNh7UC8vSRL7d8nvlaCQUJIzBjs17sDs+ShsVtoG938dm/5EfpCWLZHBYLOi+eVBTj72V5+tFRwMKSlwxhk+W0IgCHg835kLBILesVgORlsCJHVSidxjvsZQAniuNAz2TZc9Mh8UHEKKk5uurhj30Rto21qpHj6KAwtO9di2QCLBZEUredYPOUznneL2sDCYPh1mz/bKdAKBICoK1Go5x3iAEBoiMWWsgZBaLSWWgw59dUePefe1U6rKS2huqAMga+RYlE62lzNERrPzoqsgQgh9uMJXifa/r23vMl8/nDBthM/WuuQS+OtfRbtTgaAnnHLmlUqlW32gFy1axIMPPujyOIFgwNFZHDIAFMI+WxLKfc/EMn6cgYjzHOJEngnVAdRUltFYXwvA4OFjUKrcU7/VtLYwbIncRWPjLfcdVb2BdTbJbUe+oDmXleXfcPbgq1ArB3nFnmOPlTUdMzK8Mp1AIAC5H9cAok2h4K64OFpDFZyf14TjyT89dgExukQsNvef4QV7d3ZcZw0f49rg4IGvs+JNckO07AwPAqsZfv0/zsn5n8/XDA8HjcbnywgEAYtTznx+fr5bk0dGRro1TiAYcDh6zIeGyhGXfk5do4r9hVrSUs0YHZETD9IgHeTt6pRiP9L9FHubSs36q24meftmSqcf67FdgcDy2FDCzVZOqHavFR3A14Vv82PJh9Qay3kh7guv2RYa6rWpBIKjG0mSQ5EajdzrcYDUze+u1PDykEiIhAvzmjo+TwhKJU6fQll7ldtz5+fu6rge5EztuyRxzHP/omrkGA6cdwkWjfu1+kcTEvBVoj0Kv/l1MixqpifO9dl6eXlyJ98B8iMgEPgMp7yKDBFyEQg8w+HMR/guHc2bnD63hWdviCQfDdHftAMQpfU8Mr9/VyfxOw+ceatez+7Tz2P31TceFaprrSoFXyRGYFQpGdRuJqfJ4NY8U+OPp7ytgMuGey58B1BYCElJAVM5IhD0f9ra4H/2aOdVV/nXFi+yem8QHAMKg8ThT2yr5JkwbMHeg858xpDenfmowjyGLf2arBU/kn/ORR6tfTSxJ1RHbqgeLEb47Z9cNuw+lArfZMXt2wennAJjxsCmTQERAxEI/IbTP4VVVT2fmlosFtatW+exQQLBgCTAnPmEWCt50VoKYrTUmCoB79TMOyLzCqWSwcNHezaZTn9UOPIAv8aEYlQpyWgzMc5NRx5gWvxcXjtuKVPivVPgftNNMHUqrF3rlekEAoFDW0WhgAHUajM0Wi4b0FgO/fyH0vdZVf0jRmu7W/NarRaK8mTlzdiEZMIiInsdk7lqBQClU4/BHCLSipxlX4gsMpu+ZzmxJgtnDrrcZ2vt3i0np2RkCEdeIOgNl9Tsy8vLiY+X+4COGTOGH374gTS7KndtbS3Tp0/HGiCttwSCPiXAnHkJMNsd5dq2QsDzmvn21hZKCvIASB2UjT7YvXDuhHcW0xKXyIGzL8TS++0Bj1kBy2PDADinvPGIqJYrqBQqQrXe2bw2Ncn/rY1GOXoiEAi8gKPHfHDwgNICyZlgAiBcc3CPaLaZ+O/evyMh8czEpehUQS7PW15UgMkoH3BmDnWuvVzmql8AKJh/ssvrHc2cVtnEtPo2BhtHMeyUPII1vkvJOu00mDs3YLZMAoFfcdqZlw4TXCooKMBsNvd4j0AgsJOQIPdWSU31tyVOsTlXC0Pl61ajLFjnqTN/YO9OJLuoU7abLemC6moY+8nbqCwWaqYfQ134KI9sCgTWRobQqFERZbJwXK179fKbalaxp3EL5w++xi0x064ID4fffpN9j2jPO9wJBAIYkD3mAdrtzx2d7eA+0WBtY2bcSdQYKwhTR7k1b8G+Tin2Q0f0en94aRHRBfuxqdQUHTffrTWPVhQSjG02EK4OJljr+9qq1FSIi/P5MgJBwOPV5BVvbRIFggHHnDnyrwMH5DZ1/ZyPloXBKfbfWE2EqMPRqzx7eXtD/G7o0m9QWSxUjhlP3fCB78jbgJ/i5aj8mRVNaNw4L5UkiXf3P8fuhk1oVErujn7Sa/ap1TB+vNemEwgEAdbC1FkczrymkzMfponk/jGLqTM10mZxr3yooLP4nROReUdUvmzSNEzhkW6tebSyvuATRgUP5diUeT5dx2QCrTYgGv8IBP2CgZPDJRAEAgFShpKc2slOq5lYXbLHcx4qfjfO5fEKq5XhP8gK7HvOv8xjewKBHWF6yvQagqw2Tq5q6n1AF2yvX8fuhk1olTquHH6nV+xqaJBFtyMiBlQmsEDgfwZoZP6rVXJ5T3PVkQ8Mqwdt+Apyd3dcp2cP7/V+kWLvGgalglfSo8lTtvPm9vu5efVpHGje3ftANzEaYfZsuOWWgxUnAoGgZ5yOzCsUCpqbm9Hr9UiShEKhoKWlhaYmeYPp+CoQCLrAbAaVSvaAAoALzmzmduJleyWrxyn2NquVA3t2ABARHUtMgutiemnrVhFaXYkhIpL8o2QjttQelT+xqpkQq3v/dz7KexGAMwddQVyQ5x0JAO68E8rL4Y03RBqkQOBVHM58kOv14/2Zqna5s7zUdvAzg7UdrVKH1U31E4vZTEn+PgASUzMI7kXMTmkyYQ4JwapWU3j8ArfWPNr4IT6cdVEhFOnSmJ5wItWGYkZG+S4da80aqKuDnTtBdLcWCJzDpZr5oUOHHvL78Z3yKx0OvkAg6IILL4RvvoFFi+Dcc/1tTa+Y7D/LapuNOYnnkhA02KP5SgsPYGiTj9mzR45161kx4rvPAMg9/XysuoGj8twdBUEa9obqUUkSZ1U0ujXH3satbKpdhUqh4tqR93rFrvp62LJF7qBl1z8VCATe4qSTID8fSkv9bYlXmTbNwMeEkxRlhTr5s1f3P8LSso85K/1GTki62OU5Swr2Y7FrNzkjfmfTavnx8ZfRqFWYo2NdXu9oo1qr4qc4+UD52pImjs15nqSwJJ/u9WfPhq+/ljO+RNaXQOAcTjvzK1as8KUdAsHApr5ejs4HSKshh5K9VlJwx4inKW2v9Gi+zin2WW6k2AfXVpOySe5/tudc1zd9gcjaKLlmdlZtK3Em98ozPj7wMgAL0y8gNTTTK3ZFRcGvv0JeHgwa5JUpBQKBg6AgyMyUr00mv5riTTIiLQw3GslQHBROrjKUYZHMBKnc67DRuV4+0wnxOwCUCsyxwpF3hs+SIrEoFYxtbGd6fRth+kg0Ko3P150wIWC0ggWCfoHTzvzs2b33Ja6rq/PIGIFgwOJoTRcgii7/ficKFoFkBIvkuWBfZ/G7bDfE7zStLZRMnIbaaqE5LdNjewKBc8saGNvUzvAW9zb0hS37+LPyJxQo+Ouof3jVtuhoecMlEAh8hAd15P2RM1taOLOlheUVQVjsgd1qg5x9EK1NcGvOzvXyvUXmNa0tqI0G2pNT3FrraGNviI6NkcEoJInw5YuoiFpIZmRGn6wdINskgaDf4JUklp9++onzzjuPlBTxkBQIuiTA+sxXHlDByzBodRPt1naP58vbLTvzGq2O9KxhLo9vTB/ET4/+lx9f/dhjWwIFJXBsXRtpBnOv93bFJwcWA3B8ymlkRTgZteqFdvt/hSj3ukgJBILe+P57uPtu+OUXf1viVTbt1PHVshBKSg7GkKoMZQBEu6nJ4ojMK5Uq0gb3/F7JWrmUCy9eyIz/PO7WWkcTNuCjlEgAhuxfzartT7Jo0zU+X/eWW+Cpp4TwnUDgKm4784WFhSxatIjMzEzOPfdclEol77zzjjdtEwgGDgEWmf/nubV8rSpg13fjOe/3UTSZ3c+6aWqoo7pcjsBkDhmBWuNmmp5Wi6T2ajfNfo3aBnqbe6J3FW3FrCj/BoC/jrrfK/ZYLHDKKXDDDQc1ugQCgZdZsQKefBLWrvW3JV7lxfcjOfPGFH5bKQv7tVqaaLM2A+5F5o0GA2WFBwBIzhiMrpcSttQNq1FIEq0iMt8rS+LDKA7SEmSxUvqtXNZ20+gHUSp8V8S+bRssXQpvvy1q5QUCV3FpZ2wymfjiiy947bXX+OOPP5g3bx4lJSVs3ryZMWPG+MpGgSCwsVqh0S5gFiDO/OihJkISKtBXVmJFR5ja/VBswd5OfYDd6A0ft2cHbTGxtDpbExngHAjWEm+0kGZ2LyIP8OGBF7FJVqbFz2VMzCSv2LVlC5SUyNH5mBivTCkQCA5ngKrZZ6abmTKundgEWf+j2lAOQKg6Ap3K9T9r8YG92GzyXJlDen43KKwWkrZuAKB0+iyX1zqaKNJr+DpBziAcs/YD1jUXMDh8BKdkXOTTdUeNghdegOZmSHCv6kIgOGpx2pm/+eab+fDDDxkyZAiXXHIJH3/8MTExMWg0GlQqlS9tFAgCm8ZOSuQB4swDpAQlsvSY3eSaSlHgvnpt/iEiRb0rDh/OMc/9i+iC/fz87GsUzTnBbTsCARvwv4wYGtUqHttTzphmo8tzHGjazU8lnwJw69j/85ptkybBDz+AwRAwOo4CQeAxQPvM1z2gYv3TerKKTVAIVfZ6+Rid621K4TDxu2E9v1fi9u5C29aKMSyc2uGj3VrvaMCigNfTo7EqFUyorWfriusBuGPsv1ApfbvPV6ng9NOF8J1A4A5OO/Mvv/wy99xzD/feey9hYWG+tEkgGFhYrfJbqqEBtFp/W+MUP2wPZotSR1CYjThlKEab+6rKnTddg1x05iML8ogu2I9VraZi4hS3bQgUtoXrqdWqCbVYGeqG8J0kSbyy919ISJyQejYT4mZ41b6cHEhyb+8tEAicwVEwPMCc+XaFAkmhQG2vHKo2OsTv3K2X7yR+10tkPnmzXLJQNmUmkgg+dYtKgvnVLSyJDyPh50VssrYxKmoi81LP6JP1hRaLQOAeTlemvPvuu6xbt46kpCTOP/98vvvuO6xW99olCQRHFXFx8NVX8NFH/rbEae76PY5/nBnHMyOiseK+mr0kSR3OfGh4BLGJrtUrZq38CYCS6bMwhUe6bUegsCJGbtF0QnUzOsm9evnjk84gKTidu8c/6TW7HBn/YrMlEPiYARqZb3e0O7XrgDjS7KO08W7N53ivqDUaUjKze7w3ZdM6QKTY94YCOK62lYdXr2JZ7v8AuCvncZ/2la+rg/PPh+++G3CVJQJBn+G0M3/hhRfy888/s337doYPH86NN95IYmIiNpuNXbt29T6BQHC0E0CthpJSZAe+zljClrpVbs9TW1lOc6Ms/pcxZIRrmwJJYvCvSwE4sPBMt20IFCq1anaGB6GQJE6tbHZrDoVCwYLUc1mycC9pod5pAl9eDrNmwbPPgrvahQKBwEkGqDO/apfsqVUWyJFxR5p9lM71Aun21hYqSgoBSM3MRtNDxpumrZX4PdsBKJt2jMtrHU0oJIg0mfnP9rsxSyZmJMxjesJcn6750UeyHss774APzwwEggGNy5qRgwYN4uGHH6agoID33nuPs88+m0suuYTU1FRuueUWt4x48cUXyczMRK/XM3XqVNatW+fUuI8++giFQsEZZ5zh1roCQZ9gs4Ekyen2AcLVlzQB0KbIp9EDJftDUuyHuSZ+F5u7i/DyUsz6IIqOm++2DYHCylg5Kj+hsZ0ko+vZEJI9kh+uC0ev8V5R+9dfy9GTnTvlukaBQOBDBmiafYNZ3m5K9rOKaqPcli7GjTT7wv17Oq57q5eXlEpW3fJ3dp59Mc2pfdMnPZAwK+Dj5EhaVErCrDaWFLzFzvoNBKlC+OfU13walQe46CK46y54+GHhzAsE7uJ2AwiFQsGCBQv45JNPKCsr46677uLXX391eZ6PP/6YO+64g0WLFrFp0ybGjRvHggULqKqq6nFcQUEBd911F8cee6y7fwSBoG947TXQ6eDWW/1tidOYHG9Vq4kYrftF0p6I3zlS7ItmzcUSNLA2todjVCj4IyoEgNMrmlwe32pu4qbVp/FL2deE6byraXLttfDqq/DYY16dViAQdMV338GaNTB2rL8t8SpZQ+VanfQk+aujx7w7kfnCfZ3r5Xt+r1j0QexbcBpr7n3E5XUGOlbglfQYfo4L48XMWJoa83gzVy7PujvnSVJCfH/4ERkJ990nywoJBAL38Eo3x+joaG677Ta2bt3q8thnnnmGa665hiuvvJKRI0eyePFigoODeeONN7odY7Vaufjii3n44YcZPHiwJ6YLBL6nvl4uOg6gY2cj9nptq4kYNzZbDtwWv5Mk0tf8BsCBhWe4vX6gsDYqmDa1kgSDmUmN7S6PX1LyCXlNO/k0f7HXIylKJZx9Nsyc6dVpBQJBV6Snw8iREBrqb0u8ii5cfqfEBNuwSlZqjRXy793oMV+Ut7fjOj17WO8DVErQuNSJecAjAe+mRrE5Mhi1TeLKohqe3XEPRpuByXGzuXDI9T5d35GwqFRCRIRPlxIIBjxOOfOPP/447e3ObTDXrl3L999/79S9JpOJjRs3Mm/evIMGKZXMmzeP1atXdzvu//7v/4iPj+eqq65yah2j0UhTU9MhvwSCPqNerhkPpLZ0z35ot7VNR5Qbmy0Am9VKgT2CEhUbT0R0rPODFQq+euFdVj7wOCUzZru1fqAgASvsKfYnVza5dcJ6esblXDrkNu4b/wxqpXc2rWKzJfAF4n3sBAGkr+Is7Ur5yaa1SShQ8PTEz7lj+LNEaF14L9gpyssFQKVWk5zefUBHX1/LqK8+JLKsxD2jBzCfJ0WwKiYUhSRxz/4q1IW/d6TXPz7tLZ+n17//PlxzjVzCJcq3BALPcGrfuGvXLtLT07nhhhv48ccfqa6u7viexWJh27ZtvPTSS8yYMYPzzz/f6dZ1NTU1WK1WEhIOdRYSEhKoqKjocsyqVat4/fXXefXVV51aA+Cxxx4jIiKi41daWprTYwUCj3E48wHU0rGoRlY6U1vVqJXuqZ5VlBRibG8DXK+XBzCHhJJ32jnYtDq31g8U8oK1FAdp0dhsnFTd4tYcaqWGv+U8zuyUhV6z65df4LTT5K9Kr+RwCQTifdwjNhvcey/8+99gMPjbGq9Sa5A9NlsbKBVKhoXnMDl2PiqFa4ePRoOhQ/wuOWMw6h5UOVM3rGba4meY9cT97hs+wGhTKngnNYol8fKB/c35NRxb38bY6Kk8PfUTHpnyCqmhmT61wWiEl16C33+HDRt8upRAcFTg1BbtnXfeYdmyZZjNZi666CISExPRarWEhYWh0+kYP348b7zxBpdddhl79uxh1izftP9obm7m0ksv5dVXXyU21vnT3Pvuu4/GxsaOX8XFxT6xTyDokgCMzE+dK0c+gjTu95f3pF4ekD1ITfcqxQOFOJOF42paOL6mhTCraxG5VRU/YraZiNRHolN799Djyy8hNxf27/fqtIKjHPE+7oHWVnjiCXj0UX9b4nWKG2Snvani4LbTKrkuCltasB/JnrmQntVzin3KZntLummiJR3AxoggHhiexG/2Fqh/KaxlYacD5DmpCzk18yKf26HTwQcfwPXXw3XX+Xw5gWDA4/SR6Lhx43j11Vf53//+x9atWykqKqK9vZ3Y2FhycnJccq4dxMbGolKpqKysPOTzyspKEhOPVDjNy8ujoKCAU089teMzm/2hrlar2bt3L1lZWUeM0+l06HQDO7on6Mc0NMhfA8iZ1yWVAaMJ8iBj2916eX1DPfMfupPi6cey5ea7B3xYOMJi4+qiOmLMrm1s/6z8iX9uuZGhEWP57IS1Xrfr3/+W2wUFkG6jIAAQ7+MecLSlUyhkj2cAMeJtI1VKNSkjLWytX01+yy7i9dmkhwx3aZ5D6uV7cuYliWS7M182/egWSrYo4H8ZMWyOkIVkkwxmbjtQQ1ZdFYu23cnVw+5jbNxEQrQhfWbTyJGwYEGfLScQDGhc3qorlUrGjx/P+PHjPV5cq9UyceJEli9f3tFezmazsXz5cm666aYj7h8+fDjbt28/5LP777+f5uZmnn/+eZGuJ+ifOCLzAVR4XGuV0+P1uN9YPH/vzo7rjCEjnB6XsnE18Xu2o7Ka2XLrvW6vH0iEW6y4UqFYb6zm+R1/B2Bm4jx0au+1onMQGgpPPglqoRslEPQNjrZ0ISEBJZjqDNsvLKKkTcXOZi0v5y7h65I3OSn5Mted+f3OOfNRBXkE19di1gdROW6i23YPBNQSaGwSKkninLIGLi5tRCtJPL3nEdZWL6fGWM53C7f3PpGHmExQUwMpKRAf7/PlBIKjBqe3aVarlaeeeopvvvkGk8nE3LlzWbRoEUFBQR4ZcMcdd3D55ZczadIkpkyZwnPPPUdraytXXnklAJdddhkpKSk89thj6PV6Ro8efcj4yMhIgCM+Fwj6DVOmgF4PXWSb9EckCaRPtsDHXzF+1HCImtfrmMOxmM2U5O8DICElneBQ5/UCUjf8CUDJMce7vG4g0ahWEm6xEWKV0ErOj7PaLDy9/W4azXUMiRjDHeO8m5JbWQkJCRAVJRx5gaBPcUTmQ/ouQtqX2CT5gCIrbDTHxJ1MZojrWiqOyLxCoSBt8JBu70vZJGcrVYyfPOB1V7rCxsE6WqUE1xfWYiyuZ1C7ueOeq4bdS4OxhvsnPY9S4fsMuDffhJdfhocegrvv9vlyAsFRg9NbtUcffZSHHnqIefPmERQUxPPPP09VVVWPLeSc4fzzz6e6upoHH3yQiooKcnJyWLJkSYcoXlFREcoBnmYrGOC8+CI0N0N5ub8tcQqrFTY88hAACa8uhijX5yjJ34fFLG8aXBG/U1itpG5cA0DxsXNcXzhAsAD/zo4nzGzjvv1VTo+TJInnd/6dDTW/olXqeGbGB2hV3tuoVlXBiSfCrFnw4Ydem1YgEDiDw5kPDvavHT7CoQhyQtK5zEk4k0pDrUvjrVYLpQV5AMQnp6EP7v7QI3nLegDKph899fIGpYKdYXo2RgRhViq4oaCWUIuNcIsNWX7QSqu5iWB1GAqFgqSQVN6dt8LnyvUgBwnWr4f29oCJawgEAYPTzvw777zDSy+9xHV2tYply5Zx8skn89prr3nsbN90001dptUDrFy5ssexb731lkdrCwR9gtV1oR9/YbEqUCXuxGpWERcS49Yc7orfxebuQt/UiDE0jKqxAzc1clVMCJU6De1KK1FO1spLksRrex/jp9LPUCpUPDPjQ4ZGejcjafVqWUS7piagJB4EgoGBI81+gDnzRhuM+C4ThRkem1BFRLCExQ3xu4riAswmIwBpWUO7v1GSiM2Vy7zKJ01zy+ZAQALKdWpyQ3VsCwtiV5gei/KgY96obiDNYOn4/e6GzTy25WZOz7iCS4beTHxIfJ848iBXjbz6KuzYAWed1SdLCgRHDU4780VFRSxceLDt0bx581AoFJSVlZGamuoT4wSCgEey508HUN9gs7IZ6/WyI50UsdKtOTrXy7sifudIsS+begzSAM3xNigVfJMg6ydcVFpPsM25HPuPD7zM5wWvAfDPya8yP+1Mr9t2+ukwbpwcOREJUQJBHzNAI/O1VhX5d8mdSaxLzNQYa9AoXS8lKNqf23GdPrgHZ16h4JO3vyGuYB917nRS6cfYgN+jQ9germd/iI4W9aFN2hMNZqbXtzG7tpXhrfLBhyRJfFHwOm/k/hurZOHnss+5ZdyiPkmt70x4OJx9dp8uKRAcFTi9W7ZYLOj1h4osaTQazGZzNyMEAgGFhTB0qFyEvHy5v61xCpskcdLpn7AjLJm9jfGMq250eQ6Hkr1Kpeo5gnIYaetlZ7742IFbL78sNowmjYoEg5mTq5qdGvN90Qe8te8pAO7OeZKzs670mX2zZskSDwKBoI+ZPx82b4bqan9b4lWsdh1VhSRRY9nPLWtPIEobz5MTvndpnkOU7LN7bktn0QdRPmN2vxL+kCSJuvYy2sxNqJRqVAoNaqUanTqEEE2kU1HyHWF63k2L7vi91mZjWIuR8Y3tzKhvI6Pd3CGmarGZ+b3iB74oeIN9TbLA3YLUc3h02utoVX3T9nXfPvjlF7kFnRC9Ewh8g9NPOUmSuOKKKw5pKWMwGLj++usJ6STW8sUXX3jXQoEgkKmvB7NZlnENECK0YUSnL6A4PJzKPcWAa868ob2N8uICAJIzs9DqnPMMFVYrzYnJhJcVUzpjtotWBwZtSgU/xcligFeU1KPpJShvsZl5M/fJjoj8NSPu5aoRd3ndrqVLIScHsrOFIy8Q+I3wcPkHsaAgoN4ZvWHWyBFgvU2i1lQEQKTG9XbGxQcORubTeukxD4DG/W4s3sBgaUWvPrg/fm/r3/m14P0u79WpgokJTiEmOI3Y4DQSQweTGJZFcthQooIOFpkPajNxRVEd+0K0nFPRRHar8ZD3iCRJVBrKWFH2Nd8WvUutUW79rFXquXf801w05K99llpvscA998DOnXJy4rPP9smyAsFRh9PO/OWXX37EZ5dccolXjREIBhyOHvMB1JautFLNT0XBMA/UbpQHFOXtRbKPcyXFXlKpWPH3x1CEhiKFDkw1519iQ2lTK0ltNzGrtrXHe2sNlTyy+Qb2NG4G4Mphd3Cnl5XrAXbvhjvvlDN7N2zw+vQCgcBVAqgsyxna7c6jTpKoNJQAEKNLcmkOSZI6IvMR0bFERHWj5yJJnPDg7TSmD2LLzX/DGOmGgquH2CQrb236GxvKvuPh45cRH5KBSqkmJWwIKoWaUG0UVsmK1WbGKpkxWQ0YrW2UNe+jrHnfIXOlR4zmwTk/dPz+5+2PoVcGcVfq5QTZDwq21q5hTdXP5DXv5kDzblrMBw/gY3QJXDjkr1w85Aai9XF98xdgR6WCyy6Dl14S6vUCgS9x2pl/8803fWmHQDAwCcAe8zurKqhWDQZALbnQM81OQe7ujmtX+ss7kAZYvagDg1LBz/ao/EWlDah6uV+vDqbJXEeoJoJHp77OgjTfFBsGBcmVIIMGQVaWT5YQCATOsGwZrFsHGRkwebK/rfEaDSY5Mq80QqWhGIBYXbJLc9RWltPWIpcl9dRfPqyilLT1f5C8eS0b7nrATYs9Q6lQ0WiswmQ1kFuzipzEGSgUCs4b8zcuGvd31MpDMwZMVgPVrcVUthRQ2VJAeXMexU17KGrcTVb0OMK1YZhtVsw2I0v3vYJVMnN24tkdzvzqqp/4qvCtjvlUCjUjo8ZzyZCbWJhxvlc7nriCQgHnngu33QbavsnqFwiOSvpPMZFAMBBxOPMBJA2+uOJZmB4EjEflpDhbZwr3HXTmM4c4F5lXWK2ElxXTOCgblH2TAng4jYZqtleuoLhxJ23mRlpNjbSZGzFZDcwdfCUzM84FwGhpY0fVr6SEDyMxdLDT8/8SG0qrWkWSwczsLqLyVsnKmqpl5ERPJ0QTTqg6nGdnfEJsUDypoZne+mMeQWamnGYfGipvvgQCgZ/44Qc5F/nqqweUM19QJ281GyqUVLbLkflonWv9yQ6pl+/BmU/YuRWA2uGjsQYFuWqqW0iSxG+FHzAl5TSCNGEEa0L4y4THUSvVDIs9+O+oV3d9UK1V6UkJH0JK+JAu53akxZusBi4Y83daWooYFJVFhFbOOpiaOJtwXTgjoyYwPGocWeEj/ObAg6zjqFbLJVuJicKRFwh8jXDmBQJfEoDOvC64HWVUPTbci8wX7t8DgFqjISXTuVBvbO4uTrv9L9QMHcnXH//YZ15lWfM+1pd8y/bKXyho2NbtfVabEbVCjQ0bJU27eXnddUTpE3nyxHUd92wo/Z4gTRip4cOJ0B+q9GPoVCt/cTdR+f/bdB1rq3/hmmF/57KhtxIZFEmmKtMbf8wuMZnkTZZOB8nJwpEXCPzOAG1NZ1bJDxeN9WCavauReWfF7xJ3yGVJFROmumqmW7SY6nlz051srVjG3urV/H3WR+g1QUQHTffK/J3r259O1BMR/xC31UDMwY5znDX4CuAKr6znKZIEf/875OfD22/LWV8CgcC3CGdeIPAlDmc+LMy/drjAhzOfoSg+iT/B5ci8oa2VypJCAFIys1E7KUCUvGU9AM0paX3iVbaZGvlq99OsyH8HiYP1qVnR48lJmENkUCKhuijCtFFoVUGkR44kMVSu8axu3Ud29ERiglMI14Zjtlkw28x8uH0RjYYqAII14cQEpRITnEJ0cAohujiy2ydQnpZD6ZrFLDY3sr9pJzeOfJhBYcMBmJFwArsaNhGljyI+1Leyv1VVcOGFcP31cNddwpEXCPoFjtZ0IQNLMyQmWX7GZiWbKXQzzf7QyHz3HmLCji0AVEyc4qKVrlPUsIMX1l5NXXsZaqWWScnz0al9oyDaqITfQkBSwB01PlnCK1RWwsaNslyQaG8qEPQNwpkXCHxJejrMng2DnU/H9jcNTUrqolQQ4roAXlHeXiR7ND/ThXr55K2yM18+9RiX1nOHzWVLeWfLvTSbagGYmLyAWRnnMSnlJGKCexdlGpd4HC+ccqhSnNlqYmzCbA7Ub6W8eT9t5ibazLsobtp18CZ79cGHncblt+xhfNxUtCodV4y4hctG3ESw2vcb+fffh5IS+PBD+NvffL6cQCBwBocz30fp4X2FwX5aqLaaabU0Aa4L4BXnyUr2QcEhxCR0fRCgb6gj0n6YXJnj2zKFmtZinlt9OU3GapJCs7j/uM/Iis7x2XobgmRHfogRkiy93+8vEhPh22+hqAim+P48RSAQIJx5gcC3XHedXP+Yl+dvS5xm/XY9exTBEOd6mn3Bvj0d1xlDhjs1RmUyEr9L7oFbNmWGS+u5g04dTLOplpTwYdw45QUmJM/zeE6NSss/Zn8CgMHSRmVLAVWthVS1FFLZWkizsRadpECPEgUKdCo9wyPHMS3heKKConuZ3fvceivExMAll4h6RoGg3zBQ0+wVChSShGRuByBCE4NO5fyBRXNDPfU1ctZTWtZQlN2EfB1R+brBQzFFRHpkc0+0mhp4fo3syGdGjuHpE38nROtbkdt19v8Sx7X4dBmvMGYMTJvmbysEgqMH4cwLBL4mgNoMfV+6kls3rUI57XVsaFxOs+8sfpeR7VxkPm73DtQmI20xsbIAno+ZmLyAB2Z/wdS0U45QFfYGenUwGZEjyYgciVEBViBMglQz9JesQ50O/u//RBqkQNCvcETmB5gzn/2HmXnPt9EaUwHjIdbFqHxRp/7yPYnfadrbaI2OpXK876LyZquRF9deS3nzfmKCkvnnvB997shbgY32s4/je+5o6jeeeQbmzIHjjx9wVSICQb9HbOUEAl9jtfrbAqfZ1bSfvNh3SVatYFRdIyFm1/L53BG/S9omp6yXT5ruk+Lt+vYKnv7jQqpaCwjThhETHMPMjDN94sgfzrdhcGUa/Brs/4dtXR289ZYsUJSUJBx5gaDfMUCd+fIqFT+vCuHArkjA9RT7zvXyaT048/vnn8JHHy1h7d8WuWVnb0iSxFub7ya3dg16dSiPzPuR2OAUn6zVmd06aFFBhBXGGXy+nMssXQr/+5/cU95k8rc1AsHRh4jMCwS+ZMwYqKiAl1+GsWP9bU2vHGiRxYlOXf8Wp0YHUaZ0PhWys/hdqkvid7IzX+ajevn3t/6D3dV/8O7me3jmpD98skZXtCng00hoVIHe9aYAXkWS4N574ddf5f+Ob7zhX3sEAkEXfPQRlJbKNTADiPEjjbz9RDn/K/2CCiDGRfG74v3OtaUDQKvFqveNCN13e//D2pIvUSnUPDD7cwZH9c073ZFif0wrXXZC8TczZ8Ipp8C4cZDi+7MNgUBwGMKZFwh8SWUl1NTIec0BwIEWuW1QanAiNsm1KHln8bsMF8Tvtp13GbXbRvrMmb805zEUW+DWGa8c0ubH13wTLjvyaSY4s6nPlu2WE0+ErVvhttv8bYlAIOiS0aMhIwPKy/1tiVdJT7Zw2RnN/G/Zd1DtRmTenmav1mhISh/U5T0qkxGrRgsa34iAlDbt5bu9zwNw09SXmJhygk/W6QqHM99fU+xDQ2VR1dBQf1siEBydCGdeIPAVknSwNV2Eb2vqvMWBlmLYfwKf/ngDu4epOe4i53vguCN+B1A89ViK5y2EEN+klqaFZ/PYCT/5ZO7uaFHCZ/Z/8ltq/f+gVSjg3HPhr38NmP+KAsHRSQBprDjLE1FRvBkRwfQFb3HmrrUocP5ZbzS0d2R8JWdkoVZ3/TQd+/FbjPjuc7ZedRM7L7vGK3Y7kCSJ97fej1WyMCXlFE4a6t35e6JSDQVaUEpyZL4/ceCA3KgnPFz+JRAI/IOomhQIfEVrK1jsNecB8Kaz2qwUtJZC/SC25GezpyIMV7aVncXvMoeMdG1xL0uqryr8mLUlXxOkDiJc3/fe65fhco3jICOc3Nzny3cgSQd9g7g44cgLBP0WqxUef1wuPh5ghcf7LBr2arXUm8PJChtDpDbW6bEl+fs7Mr56SrFP3LGFoMZ6LMHeb+tX115GdWshWlUQN0z9r9fnd1CrgtXdnHOMNUBkPzrnWbUKFi6Exx6DWOf/OQUCgQ8QzrxA4CscUXmNJiD6Bpe0V2CRLKgHrUJTbGPD0hjq9c472Q5nXq3RkJwx2Kkxw7//nMTtm1C6dGzQMxXNeXyw7QFe3XAz+2tXe21eZ2lSwpd2p/nWWv/WOC5ZAuefD4WFAXGeJBAcvbS2wn33wT33yKdwA4hdJXKZ2bbVOqw21wRhO4vfpWcN7fIehdVC3J4dgG/6y8cEp/DPeStZdNxXJIZmen1+kJ34v6bAo3FQoYZYK8RZYbQRsoxwfZ1PlnWbbdvk/6ZaLXSTLCEQCPoI8SMoEPiKzin2fVir7S4O8bv0jEYK7dp1zramM7S1UllaBDgvfqdpbWH6i/9GabPx0ZI1tCa6JorUFVabhdc33Y7JamBcwhwmp57s8Zyu8lkEtClhqBEW+LEnsM0Gzz8P+fmy8N38+f6zRSAQ9IJDyV6p9Hqmkr+x2SVjGo2FLK/4nEkxC5weW5x3sC1dd0r20Qf2ozEaMIaF0zB4iEe2dkd8SDJZ0b2I77mBUQGvRsN39sPWYQZItEBYp/PtHwq9vqzH3HADzJoFJ53kb0sEAoGIzAsEviIQ6+WB1JAUrAr50aByMkJ0iPjdUOdS7BN3bEZps9GYmuEVRx7gh9wXyK/fQrAmgruOeQelom8fcS1K+Nq+Kbutxr8PWKUS3n4brr0W7r/fj4YIBILecTjzISEBcfjrCqmD5HKzuvTnWF7xqUtjHZF5hUJB2qDsLu+J370NgKrROV7tuZlfv5VVhZ+gUqgJ04V5bd7OPBN70JG/vA4+K4ZBZp8s5VXCwuCsswIi6VAgGPCIyLxA4CuCgmD27IBpM+RQso+yjOn4TO2kGNMh4nfZzonfJW2195efPMNZE3u2oWEb39rVhm+c+gJxIalemdcVVoaAUQmDjf1DeTgjQy7BFQgE/ZxW+wMjJMS/dvgAg/1wYmL4FIbGOO/9Wa0WSgvyAIhPTkMf3PXfTcIuuzM/bpKHlh5EFr37BwUN27DYWrlk3INem7tjDWC9vUb+uTI4yY+ZXM7wxx/wxRfwr39BdtfnKgKBwA8IZ14g8BVTpsDKlVBUBAaDv63pFUdkvnT1uXCz/Jnaych84b5dHdeZTralS3Y481NnumBl93y241FskpWZ6Wdz/KCLvTKnq2SZ4LgWOLYV/BVbq6uTa+QnTICEBD8ZIRAIXMMRmQ/2TVcPf9Juj5bPjz2FIW2jnJYEqCguxGwyApA2uOt6eYD43dsBqMqZ6JmhnbBKZsYmzqXV1MApQ6/32rydqVHJJVkqCeb2c0feZJIlHSor5Q6Kjz3mb4sEAoEDkWYvEPgaq2uCP/7iQKvszEdH6Do+c7ZmvtAemVdrtE6J3+maGog+sA+AssnTXTX1CHJr1rKn5k9UCg3XT362T/vJd2aEEf5ZCZc0+mV5bDa4+264+GJZ/E6n632MQCDoBwxgZ76wTo4b7d6sdknbr/jAwXr5nsTv8o+dS8XYCVSPzvHEzENQK7WcNvx2XjtzL5FB8V6btzOFdmmEdDP0d5UErVbWYFmwAB70fpKCQCDwABGZFwh8TYD0DXZE5i+8uICfmI3SJjl12neI+N0g58TvErdtQiFJ1A/KxhAT54nZAHyz51kATsi+kriQNI/n84RQP/5zm0yyRINaLVd4CASCAMGRZj8AnflGs/wmqSw2IUVJTh+2dlayT+vGmZdUatZffYv84AvSe25sJ4LUQehU3p2zM0X2V2W20WdLeJVZs+TuKAKBoH8hIvMCga+48045z/n11/1tSa9IksSTOXdz1/CriAtOBEAtOeeVHiJ+52SKfcKurQCUT/JuVP7CMf/weD5PUEsQ5MeuUno9PPccbNoEY8f6zw6BQOAixx0nl2X9/e/+tsTrBEfLD8U1ivupMpY4Pa6zkn1PPeYBuQWsl/gx9yW2lP9MsMa3+gWOyPwQk0+X8Yj33oOyMlkCKDHR39YIBIKuEJF5gcBXVFRAVVVA9AxWKBRcMfgsqgy1bFHIysNqJ1PsC3J3d1w7K363/qpbyJt/MubkFNeNPYyDUfkriA9N93g+d1gTBCtC4YIGSLP0/fpms7yXVSggJUV26gUCQQARGyun0+Tnyz/QA4iL28p5LPdb0C4jWnu5U2MkSaLI7syHR0UTER3b5X1xe3bQkDEYs1rlFVvr2sr4avdTWCULI+ImkBWd45V5u2KoEZqUkNPusyU84osv4JFH4JVXYOfOAddkQSAYMIjIvEDgKyor5a8BomYPYLZZePwlOZ1RYXHWmT8ofjdomHNt6SSVitoRY2lyor6+Jw6Nyvuv/9qP4fBrKGzwQ4ZsUxNceik8+iiEhwtHXiAIaAKkLMsVzihYBz/cRHRbKxqlc9Xh9TWVtDbL4iPdReWVJhMn/+1aLj3rOEJLi71i67IDb2CVLIyOn+VTRx7g5GZ4ohJmt/l0GbeZNk1Wrb/22oDaxggERx0iMi8Q+IqKCvlrbNcRhf7Etvo9VBnrCFOFsObL6VAN517jXDpkwT45Mq/R6pwSv+tA67nkz5J9iwGYn3W536LytSpYb++2dI4fhO82boQtWyAvT1YbFgr2AkEA8sMPclQ+PR2G9ZJSHmCsy2uEmqFEJTsvJFe0v1O9fDdK9jF5e1GZzbRHRtGS7Hkr0jZzE78VfADAeaPv8Xg+Z9D047Ob1FRYvVo48gJBf0dE5gUCXxFAkfnF+z9i/oorefPAl/zrlp3cFL2f2a1VvY5rbW6iqkyOiKRnDUWl6v18cOwnb3Ps0w93tBPyhCsnPM2pw27hwrH+i8ovDwWbAsa1w2A/ZMfOmSOrDP/224DzAQSCo4e334abboK1a/1tidd54bkZ8MJe2Hm202MOUbLP7vrB1tFffsx4r+SA/1bwAQZLC6nhw5mUcqLH8zlDf1OxLy2FbfJfK0lJcixCpNcLBP0bEZkXCHyB2Qy1tfJ1AETmY3VRDA8bzOCwFE4+oYLaOi355mB6K+VzROUBMoc6l2I/6LdlxO7fQ+nxC+j9uKBnwnTRXDvpSTQq/2yJJOCnUPn6vD6MyhcVyWdEISEQHQ0339x3awsEAh/geF9ERPjXDi9TrVJRf5ICrA1EhDhfA1TUSfyuu8h8R3/58ZM9MxKw2Mwsz3sDgHNH/Q2lwrexrgNaaFbC9DYI9elKztPUBNddB8XF8MEHMLTrv3aBQNDPEJF5gcAXVFfLwndKJURG+tuaXvm/sbey6cQvOSN1HgAWqwJnKuY718s748xrWluItkdcKiZOdctWoEM9P0gd5DdHHmCfFkq0EGSDE5v7Zs3ff4ezz4Ybb4TQ0IA4KxIIBL1RVyd/DYD3hSv8oddT9cgQ+OEAY48pc3qcQ8lepw8iPrmLdqOSRPxue2R+7ESP7dxZ9Sv1hgoidHHMGXyxx/P1xrdhcE8SfBDp86WcRqmE5GT5v+Bkz89HBAJBHyEi8wKBLzCb4fjjoa0NVN5R2fU1ZslCcWkQuxWhrBoUS6hkYXp5XY9jXHXmE3dsQWmz0ZiaQVu8+31uluxfzK6q3zl31N3MSD/V7Xk8ZY9O/jqpHUL7qGlBaqrcT95sBp2ub9YUCAQ+ZoA681sdD6nKbcTokpwa09rcRE2l7PinDh6CUnlk3CmkupKQ2mpsKhXVo8Z5bOfakq8BmD3oArQq3z9YHW3phvajtnShofDOO7IGY6rnEgQCgaCPEM68QOALMjJg+XK5QWtLi7+t6RFJklAoFJhtZj75MpVX6gfD15Bd3+y0Mx8UHEJCSu8CdIk7NgNQMWGKR/b+WfQp5c37aTJe4fY83iDPvucbafDtOjU1ByPwI0fCL7/ApEleba0sEAj8iSPNfsA681uJ1c12akzxgX0d190p2Tvq5WuHjsAaFOSRjQZLK1vKfwJg7uBLPJrLGSSgyP7szjL6fLkesVph1Sq5K6JeD2lpokZeIAg0RJq9QOBLLH5oOu4iv1atI/rzKVy2+h7UaonwaFnFTdVLn/nGuhrqa+Sq94whI7qMnhxO4vZNAFRMnu62vQqFglunvc25o+5lVuZ5bs/jDfLs0ZXRPtyQ/fADnHACFBbKDn1aGkyfLhx5gWDAYDIdPPQdYDXzmzX2zLQvFmKqynRqTFFe70r2lSPH8sfN97Lzoqs8NZEt5T9hsraTGJrF0Bjf55fXqaBFBUrJP6KpDqxWuP12ufXcZ59BSopw5AWCQERE5gUCXyBJ8lvRavW3Jb1yoKWYelMjrZY2br1+P+kRrdzLWNRSz858Z/G7jCEjel1H3d5GbK48pmLiNI9sjg1J49Kch9H6sV7ewsFUyRE+isxbrfDmm9DaKkdP5s/3zToCgcCPOFLsFQoID/evLV6kRaGgUGePmn8xn7Zhe4DeM9WcUbJvjU9kz2nnQlycx3Y6UuyPH3Qhij7wZgvtB7FpZtD2UXlWV6hUMHiw3CU2KytgKgIFAsFhiMi8QOAL7r5b3mQsXuxvS3rlQKvcWi41WK5hN0ryY0HdS2S+c738ICfq5UNqqmhIz6Q5KcXjnsAapdavjjyADbijGq6og1QfJWCoVLIzv2gRPPigb9YQCAR+JipK7i35zjuyCtkAYYdOh6RQQF09GbNeJi7RuRSmov17AFAqVaRkDO7+Ri+kJzUba9lZ9SsAc/ogxR6gyP7qyvJTvXznc/p//AM2bYLzz/ePLQKBwHNEZF4g8AXl5XKhcwBwoKUEgJSgBACMknw8r7LZehyX76L4XWNaJl8u/ghVSIi7prKu5BvWFH/JacNvJiH0dLfn8QZaYE4rJFjA27Gc1la57ZxCAcOHw4QJXl5AIBD0H3Q6OPZYyM6G5j5qi9EHbHPUy9etZdIZq4l0IoXdaGinrCgfgJRBWWi0R4rRRRTlk7R9ExVTZ9LgocZAfv0WFCjJih5LWkTXWQDexhGZH9LH9fLt7fD667B2Lbz9tnyGlJAgp9cLBILAZeAcAQsE/YnKSvlrTIx/7XCC/c2FAIQbsrnk2sl8vUxWHFb1kGYvSRKF9pT50PAIYhKcUylGqcQa5n5X3d8LP2Rb5XLy6ze5PYe30Xk5TfK112QxouXL5TZBwcHenV8gEPRTAqAsyxUc4ncXRozh5Azn9E2K8nKR7AfJmd2Ub2Ws+Y2Z/32cCa+/4LGNYxPn8sxJG7ljxhsez+Usjsj8kD6OzLe0wBtvwLp1sHWr7MgLBILARzjzAoEvcDjz/bwJuCRJ7G7KAyCoeTjrN0dTVClHzlU9OKl1VRU0N9YDclS+tzpDhdWC0mQCrftpkbVtJeyp/hOA+dlXuj2PN1EDnpYZmg8TQDKZ5ODcl18KR14gOCrYsgVefBH++MPflniVbVrZa02pVmFpTMTmxFlF4b5OGV9Dus74it+9HYCqnEmeGwnEBieTFZ3jlbl6Q6JvIvM2m+ywv/rqwc/i4+Ff/4KPP4bz/KsdKxAIvIhw5gUCXxAgznxJWwUtljbUChWThwTzzL+2MmmqLMak7iHN/pAUeyfE7xJ3bOHSc47nuH/d57atfxZ9joTEmITZJIZmuj2PN7ABL8TAD6Fg9CDH/ptvZFG7PXvkUtmICLj5Zvj+e/jxR6EsLBAcFfz8M9x0k+xlDSCa7Ipqz1yUwLWnTaKxvvfD3ILcTsKqQ7t4t0jSQWd+rGf1R0ZLOwDBGs9a27lCs1J+ZyglGOQlJfstW+DJJ+HDDw9+1tICF18MTz0FRUVyx8NBg+DWW2VHXrxbBIKBg3DmBQJvY7FAdbV83c/T7Hc17QdgcGgaCTE2Tj6hgoysNqBnAbyCfa7Vyydu24TaZHRb3EmSJFYXfw7Aguy/uDWHNylTw3fhskPfUwZDbyxfLssrvP++rCackCB/XbhQKAsLBEcNDjX7AaRkD/DhtuXMeukydCVNqNQ2wqN6914dXVLUGg0pGVlHfD+sopSghjqsajW1I8d4ZN+jv53GY7+dSWVLvkfzuEK4Db4qhK8LXS/RkiS48065DGvvwe59FBfL5VlLlsjvDY1G1t896SQ491y5Jj4+HtRCJUsgGJCIH22BwNvU1MhvXaUSoqP9bU2P7GqUU+yzQ9M7PlOZIcJgQt9D/WaBi+J3Hf3lJ7nXkq68eR9VrQVolDpmpp/l1hzeJM+uyTTU5PxDdOlSOYv2tNNgkj079P/+T9a9uuMOESkRCI5aamvlrwOsx/zW+j38Vv0uYx/ezu1D/odV6vkwt721hcoSWcMlNTMbjfbIjiWOqHztsFFYdXq3batoOUBp017USi0xwcluz+MOKuS2dD1hMMDKlVBfDxdeKH+mUMiOe0WF/F8mLk523E88EUpKYMQI+TDYwddf++pPIBAI+hPCmRcIvI3ZDHPnypLk/Ty86qiXHxSaytYdESgVNk5Vl3FubgmloXqkLnTabTZbh/hdZEwckTE99/lVmkzE79kBQLmb/eW3Vi4HYGzCcQRp3BfQ8xb73egvv2KFXAefmAhz5shKwno9TO5d4FkgEAxkHJF5D5XZ+xuTY8bw0ORFGBWg0oC1F8G3ory9SHbh1YxuDok7UuzHTfTItsTQwTy1YB3NxgrCdFEezeUOmsOi8jYbGI0QZM/437JFTokPD5fT5WNi5PfF00/LEfaJEyHU/iocNQqefbZPzRcIBP0I4cwLBN4mLQ2WLYOyMrlwrR+zq1FOs88KTefhe0awc08ED9+7k6mT6rp05AGqyoppb2sFnIvKx+XuQm0y0h4VQ+OgbLfs3FYhO/PT0k51a7y3cUTmx3QjYCRJ8NlncppjaKi8R7/gAhg6FE49FZKcFP8XCARHAQMwMt+qUJAVlsEFUVkUtJZSXtF76pEjxR6612LxljMPEB2czKh474joOYsEaDi0xvXNN+GFF+Cii+Q0eoBjjpEPeufMkaV3HOc8c+f2qbkCgSAAEM68QOAr+nmbIUmS2GWPzGeFphMdZSI22khcrIGeSvncTrGfMMWtXPIWUz37azcAMCX1FJfHexsJyOslMr9okaxltWGDXA8fHCyLDgkFYYFAcAQDMDI/MSODJqWSSY+30ro2hBkn1JI5tK3HMYWdxO8yuxK/A3544mXiD+ylZvJ0j23UqXS9dmLxJk1KuCINUs2wuARS7FuEsDD53H/fPrkdqV4vR9/Xresz0wQCQQAjBPAEAm/j6M9usfjXjl6oNNRQb2pEiZJBIam89p9N/PjZKoJG2bD1sL/J37uz49oZJfskuzNf7ubma0flSiRsZESOJiE0w605vEmNChpVsvDdsG7SRk87TU6XnDPnYNqkQCAQdMkAi8y3KRTs02goV6tZ+5WCX75LoLWl99iRIzKv0epISh/c5T3mkFBKZ8zGGOl+avzmsqU8++clrC/5xu05XOWABm5OhjYlHGiGrT/LZ9tRUfCXv8hp9T/9JGdyCaE6gUDgCuKRIRB4m3vvhddfhyuvhGuu8bc13RKljeC3ue+zrWEvOpUcai5SB3HlnMmkNrdx/+rdqKUjY/R5u7Z1XA8aNqrXdQqnzcKm0VI+eYZbdm6tWAbAtH4QlQfYb0+xH2TqXo14wQK5HVA/70woEAj6A598AgUFcu+wAcBOrRabQgEtldQMuZELJj1J6qCeo/KtzU1UlRUDkDZ4KOqePNouhPFcYXPFT+ys+o2hMZ61tnOW34Lh6TgwKiG8FpqOg9cVcMNfDv5REhP7xBSBQDAAEc68QOBtyssPRlr6MTqVlmPjJ5ERkozBKhd//x4je5+hJkuXjrzR0E5RXi4AyemDCAnrvZXS7tPOY/fFf4GQEJdttNjM7Kj8FYBpaae7PN4XOFLsR3ZKsZckuTXQaafBkCH9viOhQCDoT8yYIUuRO1qaBjjbdPYTz8ptpE3eyFnTKmhq7rnHfNH+PR3X3aXYT3zrJZRWC3svuZqmDPcOPmySjZ2VKwGYnHKyW3M4S1Up3L0PKq6Ufz+tDZ6qgnePkUuxPDyTEAgEAkA48wKB96mslL8GSFjWZDOz9JcE3v0onYq35FY/Y6obu7y3IHcXNptc6Jc9apzzi2h73sh1R1nTXkzWNsJ1sQyN6R+y7w5nflQn8buPPoKnnpLr4zv3/xUIBAKn6OcaK66wtcOZ30pqWDpmi2vidxldlW9JEsN+/IqgxnoKTj0bcM+ZL2ncRaOxGp06hNEJx7o1h7M88wZUvCFf32iGZ4NAMwJmLvbpsgKB4CijX9TMv/jii2RmZqLX65k6dSrrelD9ePXVVzn22GOJiooiKiqKefPm9Xi/QNDnOJz5fh6efTH3fV7d/wnVhjr25YWyPjeakuFygfeYmq6d+c4p9lkjxva6RtKW9YRUV4DGvRBEeuRonl24hUXHfYVK2T/a/KWaYbARRneKzM+YAdnZciuhsDD/2SYQCAKMigpZyvy77/xtidfoiMznVRBcfQwtzU7Uy+f2rGQfVl5KUGM9Vo2G2uG9l3d1x3Z7VH5swnFoVTq353GGk+6Wv2Yb4QUNaPpOa08gEBxF+N2Z//jjj7njjjtYtGgRmzZtYty4cSxYsICqqqou71+5ciUXXnghK1asYPXq1aSlpXHCCSdQWlrax5YLBN0QIJH5h3e8wLXrH6DcUM0pC8r5y5v5SFoF8a0Gklq7lmnf39mZH9mzM6+wWpj3f3/jgktPJWrfnh7v7YlwbTSjEma6Pd7bXFUP75XApE5/RZmZsGYN3H2338wSCASByO7dcPPN8K9/+dsSryDRyZn/OYef//EvvngrtddxhfbIvFanJykt84jvJ9jfPTXDR2PTuu+E76haAcCUlIVuz9EdZhNsWytfq1QQZdfwS/TtmYFAIDjK8bsz/8wzz3DNNddw5ZVXMnLkSBYvXkxwcDBvvPFGl/e///773HDDDeTk5DB8+HBee+01bDYby5cv72PLBYIusFrBcRDVjyPzZpuZizJOYXb8FAaFpJKZ3kbjLDkVfmx1Q5cd5m02G3n2Hr+hEZEkpKT3uEZMXi7atlaMoWE0DB7iso2SvWZfp+5/OyGtJJ/ZbLOfbcTHy//cfdjlSCAQDAQcbemi3Fdn70+UqNXUq1RgNUNRFSGRbcQnddPD005zYwM1lWUAZGQPR6k6Mgsrfo/8sK0a635/+TZTI3l1cneVyanedeZNRnjkr/D3yyB3m9xirt2ekDYw/mUFAkF/xa818yaTiY0bN3Lfffd1fKZUKpk3bx6rV692ao62tjbMZjPR0dHd3mM0GjEaDxa4NjU1uW+0QNATtbVgs8leXQ//J/2NRqnhuYn/oLK9hkZzMzbgt8g4AMbUdP3zUVlaRGuznH6fPWJsr/15Hf3lK3MmIXWxOeuNn/NeZ33pN5w5/DZOGHK5y+N9iaEBrr4aiovlOvmhQ/1tkUAQGIj38WEMsLZ02x1R+dq9MOdO/vfYcNob43scU9i5Xr4b8bt4+0FyVY77zvyu6t+xSVZSwoeSGJrp9jxdoVLJ1WQqNQTp5PZyw4CrgGleXUkgEAgOxa+R+ZqaGqxWKwkJCYd8npCQQEVFhVNz3HPPPSQnJzNv3rxu73nssceIiIjo+JWWluaR3QJBt5hMMHcuTJ0KGvdE3/oSk82MJMFbu9Op1unQWawMrWvu8t48F1LsARK3bwZwuyXdtopl5Ndvoc3c4NZ4b9OmgPcioVkJIWo5Gh8eDjk5/rZMIAgcxPv4MByR+QHizG9zSLRXbiNCG0mwMrLXjKXO4ndd1cur29uIyt8PeBaZd9TLT04+ye05ukOlhv97FT5cBbNOlD8bD9wN/MXrqwkEAsFB/J5m7wmPP/44H330EV9++SV6vb7b++677z4aGxs7fhUXF/ehlYKjitRUWLYMPv/c35b0SGFrKQ2mJkw2M41NGp7YL2+gRlU1oumiJR3A/p1bO657deZtNhJ3bAGgYqJ7cYmrJz3P1ROfYWbGWW6N9zZLw+C9KLgvEYKC4b334M8/B0xraIGgTxDv48NwOPPhvbf5DAQuaW7m1q3fw4bFpIWlY7b2XntU2IuSfVhlGcawCFoSkmhLcK8huyRJ7KhaCcCUVO+0pGttgmVfytchIZCSCqMOa12vIMA32gKBoN/j1zT72NhYVCoVlQ7BMDuVlZUkJvb8wH7qqad4/PHHWbZsGWPH9uxY6HQ6dLr+V3crGMD08zZDV6+9n2WVf/Jkzt1MVC4kYqqJRrSMretaxR5g/245Mq9Sq7uMnnQmumA/upYmTEHBbisPR+oTOGnINYRoQ90a702swJf2vfYlDRAaItdEihp5gcA1xPv4MBxp9pGRfjXDW6RaLITlLYVflZSs/oCPZ0Sw8IKeMy0LcncBoAsK7lKLpT4zmw8+WkoQXR80O0Nx4y4aDVXoVMGMTpjl9jydeelhWP4lSBa4thvxU+HICwQCX+PX54xWq2XixImHiNc5xOymT5/e7bh///vfPPLIIyxZsoRJkyb1hakCgXM4otr93Jnf1SSnLKYHJ5GSZGBd/Are+m0dEyobury/pamBiuICQBYo0uq6z4QBSNwm18tXjZuIpHb/zFCrdq+lnbf5VQdVGqAaNB8IR14gEHiJAZZmD7CnKR8qx9KQO4rC/cE93ltbVUF9jSwaO2joSJTKbralKiXtSUlu27Sz6lfAey3pbDYIDgW1BiYd0/U9q4HfgWqPVxMIBILu8WtkHuCOO+7g8ssvZ9KkSUyZMoXnnnuO1tZWrrzySgAuu+wyUlJSeOyxxwB44oknePDBB/nggw/IzMzsqK0PDQ0lNNT/ETzBUc5998Frr8GVV8I11/jbmi5pMDVR1i5vnrJCD0ZBQgxWLFLXGymHij0411/+wHELaI+OwZTqXj3sJzv+SbQ+kTNH3kyE3r8t/iTgK7uWofoVmDxFOPICgcBLPPQQXHzxgFGzB8htzofh2zg753gyI3vO4tq/c0vHdfaocUfe4Dgg96AdHUBu7ToAJiTP92geB0ol3Pgw3PowpHVTavUksBP4FjjFK6sKBALBkfjdmT///POprq7mwQcfpKKigpycHJYsWdIhildUVHTISe3LL7+MyWTinHPOOWSeRYsW8dBDD/Wl6QLBkZSXy2mT3dSd9wd2N+UBkKSPI0wT0vF5G90rzrsqfmeIjCJ/7kKIcV3R32BuYVne69gkKycPu9rl8d5mhx5y9aCTYMUFMD3L3xYJBIIBw7hxcjuMAaAdsCQ4mE/CwmgZejLahuc4YU4LqtauBVUd5Nq1VQCGjB5/xPfjd23j+H/dS+Fx81n94BNu23bdpBcobtzO6ITusz5dJTgYDtNvPgRHn4aBc0wjEAj6I3535gFuuukmbrrppi6/t3LlykN+X1BQ4HuDBAJ3ceg/9OMe87sa5RT77LAMGlQaHv1wGMXLgjnmzBrGTum6Zn5/J2c+2wlnHgCdeyny++s2YJOsxIdkEhfiP6VrkxGWfQFrb5V/f6lCOPICgcAH9POyLGdZERzMmxERXDL9H9yQfgGVLS3UtvY8Zt8OueuJUqkia8SYI76ftH0TIXU1BDXUe2SbXhPKxOQFhOs9K2ewWuGjF2HhRZDSRSJBZxzHGMKZFwgEvkRocwgE3sThzMf6NzW8J3Y1ypH5rNA0Po9N4et/p7DpuihMhq4fBxaLhYLcnQDEJiQTGRPX4/yDV/7EuA/fIKLcvUjT3po1AIxNnO3WeG8gSfD03+A/b8Nae/LCXX6zRiAQDEgkCV58ET76CIxGf1vjMdvswoaD2kwsXxrOgb1hPSaptTQ3UlZ4AID0rKHog46sr0/cLuuvVEzyvFu7Tu15rfwvX8G7z8GtZ/RcbmVDROYFAkHf0C8i8wLBgCEAIvOONPtBoWm8FZsCwKy4KrLDWrq8vzhvLyb7RjNr5JGRk8MZtuRLkrdswJSURGMvqvddkVu7FoBxiXNcHustFAqYcAysmicr2Z8MDPObNQKBYEDS2gqOrMRNmyDAVf6323vMR5bYuPP2LHRBVl74YnO393dud5o9OueI7yusFuLtWWHutjgF+GLXv7HazJw76g5SI4a6PQ9AyiAYNg5OuRA0mu7va0V26EE48wKBwLcIZ14g8BY2G1TJwnL9OjJvd+bNadPJDwolyGrhisQCbM3did91qpfvRfxOZTCQYN+glU071mXbjJY2Curl8WMS/BeZBzjlYlgfC6sQ4kUCgcAHOJTstVq5ADuAqVUqKbV7t//5+nbSRzxFqD64x+j1vs718qNyjvh+TF4u2vY2jKHh1Ge7d5wqSRK/FXxAi6mOBUMud2uOzoycAG/9AuHhPd/nKFjTAT33fhEIBALPEM68QOAt6uoO1j5Guy781hfUGOsobC0FYGOmLAQ0p7EaZauiI4pwOPt3dqqX70ptuBOJO7egMptpiU+kMWOwy/btr9uAVbIQG5xGYmimy+M9ZddGyBoFwSGysNFfNXAq4L8cAYFAMGDp3GM+wFtkbLdnFSgbCilUf8DzL88i0joes7n7as7OSvZDuojMO1LsK3MmIqm6F2jtCZtk5fzRD1DYsIUh0RPdmqMzKpX8z9VdBz0HjhT7SI9XFAgEgp4RzrxA4C2MRpg3D5qb5UhLP2RNjRz1HhQzhl9iUgGIW2KgPUyJRntkcaPNZmPPtg0ABAWHkJLZswJc8iY5Rb5s6jFubU5za+TxYxJmuTzWU1Z8DU/eBcPHwSs/yCmUk4BZQGqfWyMQCAY8jsj8AGhL53DmZyhDOfWYpxkUkU1Ndfcer8looGDfbgASUtIJjzzyADxxu5yiXz55htt2qZRqpqefzanDrkOjcv+9XHwA9m+H+Wf07sjDwch8pNsrCgQCgXMIATyBwFukpMDPP8OXX/rbkm5ZXbMFgMiJ12NUqmAbvHdFBjZb1453cV4uLY0NAAzPmYxK1fP5X8pm2RkvneFeinxurSx+l5N4vFvjPSFjKOiDYPBw6LyvdC8eJBAIBL3QOTIf4DjE78bYVMxInoUKHbbu0r2AA3t2YrVYgK5b0gHUDBlB9bBRHtXLO9B6KH7386fwxO3w1N3O3S/E7wQCQV8hIvMCgbexb1D6I6tr5EhH2YjTARizqZHo+UZ0+q53XTs3rem4Hjlhao9z6+triTmwT55/6kyXbTNZDeQ76uX9oGQ/dAx8sgayRx6aVCCceYFA4BMcznyEZ+3S+gPb7NloQ00mrr1wGCqVjQtvKiIhuWuV/t5S7AG2XHw1W667FUJD3bJJkiRW5L9DdvREkkKTwYNKhtgkSMuCE8917n7hzAsEgr5COPMCgbeQJNkL7Kc9gyVJ4kBrCSRPojIyBa3NygOTd9GcrOm2fdAue9o8wKgJPUdHIosLMAUF05yagSHadQHAA3WbsNhMRAclkxTqer29q5iM8MzdcOltcjQ+IQFUndraNwBvAoMAJ4MxAoFA4DyONPsAj8zbgB32yPzaje+wZ9udSJICfVD378LexO868KBkraatmA+2PYBKoebzCxtRKd0XGTztMrj4RuflcM5A1loRJVoCgcDXCGdeIPAWf/87vPIKXHEFXHedv605AoVCQf6pyzkzQsPXwKzGGnTtNpq6ceSNhnb22aMncUkpxCf3vC2pGDuR9z5dTgjuHWbsrVkNyPXyij4Qg3rz37DyWyjNh2+2HlkHWQ4sBuIRzrxAIPABF14Io0f362wuZ2hVKLigqYm3mvfw0dp/cPfi4bSXDSM8sus/l9VqYb+9S0pEdCxxSSlH3BOVv5/m5BQsmni37XK0Oc2KnoBe7Xm3gNBQ5+rlATRALMKZFwgEvkfUzAsE3qKiQo60dBfm7gcoFAomWGykN7cycW89BlP3j4C92zZ11DSO7CUq70DS62lJTXfLtr01fdtf/uxrYHgO3Pt01xs0ewIs/bfJoEAgCGgGD4ZTT4UxY/xtiUeESRJ/278a2xvT0amVzJ4awrQ5dd1qoJYc2I+xvQ2QU+yPOLyVJE6670YuPet4YvbudNuufbXrARjrgaCqJMGB3fI7Qu9GjzmxyRYIBL5GROYFAm9RWSl/jYnxrx29cFFlPvse0PDEW8NZcHYF515T0uV9uzrXy4+f0vOkNpu829G5LzJ00tC/klUznvFJ89yewxWS0uCzdbJqfVfYE2BxPy4kEAgEvdCTSlwAsaF2BwBDIoeiUqoxmrpXG9m3c3PH9dAuxO8iSgoJaqjDotVSP3iI2zbtc3RHSTzO7TkK98ENJ0PGEPhhF6hd2DULvRWBQNAXiENDgcBblJfLX2P7Zyx37i+Xc87vN1PUWkZ9ixaV2kZaVlu39zvq5RVKJSNyJvc498hvP+Wcq85mxNcfuW3fmIQ5/GXCEySF+a5efv1K2LFe7hWckNC9Iw8Hnfk4n1kjEAiOaj77DN5/H6qr/W2Jx6yr2w6A7bd7+WN5DEZD96VSnevls0eNO+L7idvk/vLVo3Owad07IG4wVFLZmo8CBaPiXRdkdVC0D3R6yMh2zZF/BLgUWOn2ygKBQOAcIjIvEHgDqxX27JGvMzP9akpX1Brr+aVSjrTfPOo6bn5wPxf9tZCG5q7FheqqKykrygdg8LBRBIeG9Th/8qa1RJQWoTGZPLJT52H7oJ6oqYB/3QRWC7y5DNJ7qQaot38VkXmBQOATHnhAfm+88w7EBe6x4XchIfwqtUJzCrs+vZA9n0v857PNaLRHlpxJktShxRIUHEJqZvYR96StWwVA2bRj3bZpX+06ADIjxxCqjXR7nlknw7R5EBrk2rht9l9Nvd0oEAgEHiKceYHAG+TlgcEAQUG9e4l+IEwdwv3n/8YGSyP1iiiCbDYUarptSbdr80EV+97q5ZVmM0nb5UhK6XT3Nl/rS78lWBNBdPppaFXuqxf3hNkEU+ZAYw3kOCEB4IjMJ/jEGoFAcNQzAPrMtykUnJacjHTR57BrEsecsh9jUxT64K7fLeXFBTTVy0/XrFHjUKoOTUZXGQ2kbJEd8aLZ8922a1+NXK4DHwYAAQAASURBVC8/OsH9AwEHMbGuJ9yJ1nQCgaCvEM68QOANtssphgwZIudw9zO0Ki0/pE9mk17P4NL9nFZXjtHYvZ27NnZqSTex5/7yyVvWoW1rpS0mltpho1y2TZIkPtr+MI2GKlLCfvPK5qsrktLhwZchOdm5fyKHAF7gxssEAkG/RZIGRGu6XVotkkIBrVWEBO/l7/8qpaqyHout6zT7rWt/77gemXOkFkvylg2ojUZaEpKoGzrCbbv2120A5O4o7mK1yu+KYDeE8BvtX4UzLxAIfI2omRcIvEFEBJx0EkxzTvW9r9ml1bJJr0dls/H5whQeumUktdVdR8BtNltHZD4oOIRBvTjomatWAFB43ALn+/Z0wmwzMjx2Bklh2WTHTHR5vCuEhTl/1iJq5gUCgc9oapK9RZDfHwHKrw5Pt2ILw6KGI9lU3TryAFtX/9ZxPW76kY62I8W++Ni5dCuH3wtGSzslTbsBGBE33a05rBa45XS4/0ooL3JtrMTByHykW6sLBAKB84jIvEDgDebNg7lzYd8+f1tyBFablSvbdgKZDMlvZs+2CCwJSkIjuu4BXJS3l5YmOa4wPGcyKlX3jwmF1ULG6pUA5J9wslv2aVV6rpn0H6KDor3SC/hwJAl+/AiOXehaBYSjZl448wKBwOs4UuyDgtzredZPeC/Mrqey8xtSpakYe2h32txQT94eOYstKX0QCclpR9yz7dxLacwYRJWbJVsAhQ3bsElWooKSiA12r9P7gd1QcgDKCiHKxRT7NsB+TCMi8wKBwOcIZ14g8BZGo78t6JIdTftZN0xWDD5TXULiBwcoyA9BrT5SnAgOqtgDjJzQc4p94rZN6JsaMUREUjHRs6wEX9XKb1sD//kHvPMM/F7mfGQ+BAhDOPMCgcAHOFLsowLX3duh1bJFr0dhNSMtKeGbl79i//hG7nis60Ptbev/QLK34hs3tWtnvSUxhZ0X/gXCQt2260C93PpuWOyUI3vYO8mQMfDCN2Buh2g36+U1gPePpwUCgeBQhDMvEHiK2Qz19f02uvKOrR4i0lEZm5neXE97hoqQaGu393d25kf1In7XHh3L7lPOxhQdi+RK355O1LQWExeSjlrZQ584D5AkyBoJk44BrQvnBV8gp0gKNXuBQOB1HJH5AE6xfy88XL7Y9z0UJqNQSEREm7u9f1unevlx03qoZdd5drCbb3fmR7qZYg9yhv+02a69Mxw46uUjAfeOEgQCgcB5hDMvEHjK9u0wcSIMGwbffONva47g25gUADIKtqC2Qmtr905zc0M9udvljVBcUgrxyT2nKDZkDObP2/7hutSvHYvNzIO/zEWl0PDK6TuJCzky7dJTcmbA68sgKtL1seIBKRAIfML48fD119DQ4G9L3MIGvG9PsZe2vkPUsSv5330XU1DQdUTdbDKyY8NqAEIjIskaPvqIeya/9h8a0zLIP/tCzO540XbSIkbTaKhmVPwxLo0zGuC/98PFt8DYie458iDq5QUCQd8i9qoCgac4lOyjo/1rRxe0KBTkpcuKwaW3TearcaVMmVPf7f0bfl+GzSZH7SceM9e5RTzISCht2oPJaiBEoyMmOMXteXojIgL0LvYJBuh/fQkEAsGAID4eTjsNCgrAZPK3NS7za1AQJRoNYRYLF+szqcs4CZ0eouO6jszv3bYRo6EdgLGTZx7Rkk5fX8uYz99DIUkULzwdc2iY27adMuxmLhhzH5F610oY3noSln0Be7fC0r1uLy/a0gkEgj5FOPMCgad0bkvXz7g3MgSbLgzy2zAuDcYwrGf3dM2KJR3XU+ec2OO9GX+swBARReWxc9y270D9FgCGxExGqfBuc422FtjyJ8xc4HprIRtyeqRw5gUCgU+xdl/y1J95155if0pbG7eOuZGitnIam7p/hm9d03OKfdr6P1BIEtUjRtMel+Cxfe5osJx1NezfCbf/07MOs3HAqcAY96cQCAQCpxHOvEDgKf3UmW9QKnkjMgaAhM23cf5DdzFyQnO391dXlJK3axsAKZlZpA3u4c9jszHt5acIranip/+8SfEsJ6P4h3GgbhMAI+Pdr23sjmfuhlVLYOrx8M5y18Z+D/wDeUP2qdctEwgERz0rVkBZGcTFQWamv61xmVEmE1kmE6e0tPDJZzqW/zKMicfWMWrSke8YSZI6+surNRpGdSGWmm539otnzffIrurWQsJ0sWhViS6PjUuCN5fJLUw9YZz91yDPphEIBAKnEH3mBQJPcTjzQ4f6147DiLTZmPH5lbDsHuaZreRMb0Kt6VrBHmDtiqUd171F5eP27iS0pgpTUDBlU2e6bWO+PTI/PNYzJfyuOP4MCA6F6+9zfWwd0D97EwgEggHBokVwySWwZYu/LXGLO+vreXrD59Tt+4bly7X8tjSOgn1d18sXH8ilrroSgOHjJqEPOjRVSmkykWIXXi2a7d7BsIM3Nt3Bzd+NYm3Jd26N1+k8Wv4QxAZbIBD0BSIyLxB4Qm0tlJfL19nZ/rXlMOraW1j5YQTkPEXOjLexdwTqEkmSWNs5xf64BT3OnbnqFwCKjz0eq869mvlWUwMVLXmA3ELI28w7A0462/W2QiA78yCU7AUCgQ+w2WCzLDTKqFH+tcUDXtjzJsuKf2bhrHouybqIrDEtXd63dc1vHdddpdgnbd+ExtBOa2w8tSPcT06XJIlmYx0SNtIjRro0dusaCAqGxATAS11SRZmWQCDoC4QzLxB4wo4d8te0NAh1vy+uL7jwIbB+8zJBBacQOT2+xx45xXm5lBflAzBk9HhiEpK6v1mSyPxDduYLTjjFbfvy67cCkBiaRYTePTX8zhjaZQGjS26D+ERZX8rNFsMdzrznlZsCgUBwGPv2QUsLBAXBoMBMxm5TKMiOHMqe+j2cMiWROHUpjU1de8FbOtfLTz1SYT7jz5UAFB9zvPsPbUChUPDPeSuwWFtJCXet7O3lh6AgF175HmYvdNsEAPYDZuTD4EjPphIIBIJeEc68QOAJsbFwyy30GPbuY/4ZHc2M9naqEz8FzTBGHVOAQtGzW7pmxY8d19OcSLEPryjDotNTMvM4t+08UC/Xyw/3UlT+s1fgq7egaD+8/6tHe8IOZz7OG4YJBAJBZzbJzz5GjAB1YG3DPg4NpUytZm5bG7ePv5PLRlxFo7mZuvqu49ANtdUU7tsNQHrWMKLjjqxl17a2ICkU5J94qldsTArLdElQVZLkevmmesj2QqLEv4FfgdeBv3g+nUAgEPRIYL1FBIL+xqhR8PzzsH9/v3Dofw4O5gF7z3fNmI/g1udZOP3ZHsfYrFbWrfwJAJVKxcRjj+/x/pHffAJA/twTsQS5KBPfCYeS/cj4GW7P0ZmkDJgyB06/GJQeFivW2r8KZ14gEHgdhzMfYCn27QoFd8THU6ZW83BNDec3NfPCs3FMnysREt31+2/1LwcPisdNO7bLe1be+0/W33w3rYOyvGKnxkUle4UCHnkToqIgMtLz9UWfeYFA0JcIfQ6BwFPM5n7hyO/SajkrIRmAmaU7MVfvID5WT1pwz8J8uTs201BbDcDoSTMIDY/s9l6F1UL0gX3yehdd5batkiSRXyfXjA6Lner2PJ2ZewY89SGc475ZHdTbvwpnXiAQeJ2NG+Wvw4f71w4XeSkykjK1mjSzmeR9P/HrKvjg1VT+duU42lqP3E7arFZWfvsZIKfAT5vbTf66AloHZXt8Cvvor2fwn9VXUNGS79Z4jcaj5TsQfeYFAkFfIiLzAoG7SBKsWdMv2gpVqVTMjUmlRaMkaKONm5qsTBj2KC2WdhS95Juv+aWT8N3xPafYSyo1X770PglFedSMHue+va0FtJob0Ch1DI5yf57D8ZYSsRDAEwgEPkGSAjIy36xQ8HiU7J6eUryda366mJimWcw+8VO0QTb0QUceaG9dt4raKlkgdvSkGSQkpx3y/eDaahRWK63pGaD0oC4KaDHVd5RuhWndc6O1XhK+E868QCDoS0RkXiBwl6IimDFDdubNZr+ZYVAoOCM5mYowNcoDEkP/bkTTHs28pPOYGXdaj2ONBgMbV8lN2HVBwYybeqTS8BGo1VROO1LEyBUO1MtR+cHROS6nRHZFfTWYjKB3T1j/EEwc3IyJyLxAIPA627fDu+/2uw4oPfFcVBQ1ajVZJhPWrW8CMGakhjse2cd515Z0OeaXrz/uuD7+tHOP+P6YT9/h/MtPY9zHb3ls3wF7pldy2BDCdNEujX3yTrj9bFj/q8dmANBo/yqceYFA0BcIZ14gcBdHf/msLO/l57mI2QpXJiSwOiiICKuVx/ZW8+i9NYSGSRgspl7Hr/z+M9pb5XZCE2fOQdeDNxxaUYrKaIDgII/trmktArwnfrf4ETh7HHz3gedzOVLslYBrW0KBQCDoBYVC7n5y/PF+e2+4Sp1SyVP2qPyNDQ2sLJI1VqYkTqelVd2l2GhZUT67t6wHID45jVETpx/yfZXRwJBlP6CQJGrGjPfYxnz7AfHwONfLtnZvgt2bPRNNdWBAPhAG4cwLBIK+QaTZCwTu4mhLN7TnmnRfsXa7jhMNqTSMUKGWJB7YXcvoUCMfF7xIkDqEEREzCFJFdDveaGhnyafvAnI944JzLu1xvdn/XkRkSQErHn+RshlORPB74NTht7Eg+1qig7yz3SnJB7MJUr3Q5SkYeAi5R7A47RQIBD7BaPS3BU7zZHQ0TSoVI41GRlfsJre6CMX6u8ieMYt2Q9cq9iu+/bTjes6p56A8rB4+c9Uv6FqaaE5MprQbYTxXcGR7jYxzXVB10StQUQSjJnpsRkdUXgmEeT6dQCAQ9Ipw5gUCd+kcme9jJOD8hGQajlGBTeKOfXWMrjdishn5uPBF2qwt3DfqdbLCxnY7x8rvPqO5Qa4OnzRrHimZ3f85YvbvJXHXVmwqNQ3Z3jm8iNDHEBnkeX95gBe+geZaGD7G87nCgAuBZM+nEggEgkN5+GH566xZkJLiX1ucoEKl4j92ifebGxpYXvQTbL8I6acneWhvGw8v3nVERLu9tYU/l30PgFanZ+b8I1vODVvyFQC5Z13osfCdTbJxoG6LPK8bgqoZQ2D8VAjv/uzbaRwlWhGAFwL9AoFA0Csi8CQQuIvDmfdDZF4B3JpUj9IkcefmOo6vagPAJlm5eNDtTIo+nkGho7sdf3hU/tSLru5xvZHfyLWP+XNPpC3+yD7B7qD1Qq28A4UCskaAzgs18w66jjcJBAKBm0gS/Pe/8NBDUFfX6+39gUUxMbQplYw3GJjZXM/bu9+E0Aris4o5Zn5tl6npfy77HmO7/E6aPnchwaGHxqgjigtI2r4Zm1JJ7unne2xjefM+2i1N6FTBDI7q/gC7J7wtfhfpnekEAoGgV0RkXiBwh9pa2L1bvu4DZ765RcHjr0ZT36jipYeqaG5RcHxjG2/XlhNntHbcp1cFc1baNcyMPwNLD+3yVnz7Gc2NcnX45FnzSc4Y3O29usYGBq9YCsCui/7i8Z9ldfEX/FbwAfMGX8rpI27yeD4H3lKydyCceYFA4FWKi+V3h1oNw4b525pesXEwunxbfT1f5n1ORVs5ceMsPHfDfpobj0wkt9ls/PLNJ//P3n2Hx1GcDxz/7l6/U+/dvYKxsY2NTTctdAgJLfQQQvgBCYSa0EkgQAIk9CQQ0khoMYRQEjoYg21ccMO9W73retn9/TGnZku2ZJ98svR+nkePT+fZ3dmTtLPvzsw7bd93lfhuzDuzAdh6+DH48/f+4fD6epXFfmT2FCx6725rv/oEWprg+NOhNAHTtCSTvRBiX5NgXog98ec/QzQKEyZAUd8PyP5mg4P7q7LhM5PzTm7GXWhSZ9c7BfKtvDHfLgP5UDDAu6/+BVC98qfuZr34iS+/gDUSpnbMAVRP3PtJhWvr5rO2bj6TCo7a630BPHILpKTCNXdC8ZC9398XwAbgNGDq3u9OCCGU1vXlx4xJXFdwH9KBp6qrOc3rZUjQx23LngLgu6O/RyTkwdLFE88VC7+gartKcDrmoCkUD+2csV+LRSmdNweA1d+5MCH13BAP5sfnzthNyZ298YLKYu92wnk/3Pu6HAK8DhTu/a6EEKJHJJgXYk9cfrnKRKzriUmBu4NYDFZvtDN+ZJgGXee3x2fAd2DSihB6lUmdrfMMmbAR4udLLuK4gu9wQMYR7GoGzYdvvoK3qRHYfa981oY1HDD7nwB8dd0tCTnXE0dexeisaUwq3LskegChIHz4OkQjcPXte707AN4BXkL1zEswL4RImP1wfflKi4VRkQgvr59N+V8exD1qITOPPZ2gb+c2JhIO8c9nHmn7ftbp5+xUxrRYeeOJvzJy7kdsPWJWQuq4vkE9JBmfd1ivtx1xIAT8MG5SQqpCCjAOGJqY3QkhxG5JMC/EnsjIgIsugurqhO96a4WVEy4vpqLWytMLq7ixLI9yuxWLYXJASoiWen2nUP2d7S+yrPFLtvk38MtJ07HrXU8eD/p9/PfV9rnyp35v13Pl85cvAUw2zvoW2w87eq/PDSA/ZShDM8aT7c5OyP5++hBs3wglQxOyO1pnssoa80KIhGrtmR87Nrn12AUTeMPj4Qyfj0Zdx6vrRIwIj/1jAyy7leDK89hy6jfkFe2cjf/NF59r65UfPvZADp7R9eiraHoGq76391O2APzhJipa1gEwLufQXm9/6U8hNRVyEpOLtY1M0xJC7CsSzAuxpxobE7Yrw2hP6FuYF8V7lI73ap0LRqoh/KX+CD9dU8/Ylp3Xjg/G/Pxj0+MAnFp8ebeBvGma/OW397f3yh91AkVlu54k+M3p51A9aSqBIQmYTNhBopLfOZxwzBlqpkOiBkjUxf+VYF4IkTCm2R7M99OeeRN4MDOT23JzObulhV/W1qIB/9n4b+qG/BHniSV8e9T5XQbyWzes4b+vqOlbFquVS35yO3qHcfhaLMqQzz9m0+GzVPScIBsalgBQkDKcDFfeHu2jL2Y8SHZpIcS+ItcbIXqjshJmzICnn07IOsGVNRa+/7N8pny7jLABr7s8HFpaxrbnbcSmajhjBuduaebxxVVdBvIAr299nsZILfnOUg7LPb3bY3305ivM/+R/ALjcHs665KrdV1DXqZt6aEKSFAGsqP6U99c/R2W8JyURNC2xN2OtPfN7dlsohBBdqKuDlhawWPplz3ylxcKZRUXclqseYx4QDrclv3tpzT9BNznzglpmndq007axWJQXHv0FsZjK4XLyuZfttNTp2Lf+xbH338YJ994EtsT1I62vVw9Ixu5Br3wkrJ6xJLL9eAG4CfggcbsUQohdkp55IXrj+efhyy9V8rtjj92jXYTCGg67CYDHZfDKuym0+CwclDGE1QUqJbsjZnB6uZezt7eQEek+mV1LpJFXtjwDwOklP8Cq27ost2H1Cl76/aNt3196w53kFpZ0u98Jr/yVrdMOo3HCJNATlxNg3tbXmbv1VXTNYFTOwXu1L9OET9+CCYfAkAQkvmvVEP9XeuaFEAmTkwPNzTB/PjgTuIZmArycksLV+fnUWSzYTJOfNDRwflMz77zj5o3ZKfzh8T/z+6V/5aDUk7rc/v3Z/2DzWrW6S1HZME4+99JO/+9sbGDKX1Q7teWYExJa9+NGXM6IrIMZmtH71QH++Cv4+N9w3T1wYYIWVpkHfAickpjdCSHEbkkwL0RPxWLw+9+r1+fsnNhndxavdHDNvXmkeAye+Es16ZEYDhPuubaOgtwon/pcVIWtHF/l46ztLWTtIogHMEyDx1f/DF+0mVL3KA7J7vomydvcyDO/vJVYNArA8d++gCmHd594qGjRPKY99zsm/+UZXn77cwJuV6/PtTubGr8GYHT2IXu9r8qt8MB1YLXBoubErDEfAVr7nSSYF0IklNWq5gSFux5lta8tcTi4NyuL2fFh7weGQvyypoaxkQgNjTp33JZDS4uFV/9RwMwjzulylZSq8q288ddnAZWH5ZKf3I5th67uqX96Eoe3hbpR41j9ne8l9Bw89gymFp9Ejrv3V+zNq6GpHtwpiauPLE0nhNjXJJgXoqfefRc2b4bMTDjxxF0Wrayx8NlXLsYMC3PQ2DAxYGOxlblnuuDbJqOHDeP2VXV8r7aZo47147XqnFDl45QKLzZz91UxTZNn1t7Np9X/warZOH/oT9G1nVPuGIbBcw/fTX11JQAjxh/E2Zdf2+1+81Yu5dhf3ALA2tO/SyA3f/eV6aFgxNuWqGh0zt4H894mGDsJ3J7EBPLQ3iuvA1mJ2aUQYrAzTdiyBUpL+0Ug/5nLxS+ysvifxwOAxTS5urGRs9c1k59lgA6mq5bJF86hJHAy42ZUEukikK+rquC3t/+YcHzK2azTz2HE+IM6lTno5T8z5r9vAPDFz+7D7Go9u71k72ZE2u7c/Ueo3goTJieuLhLMCyH2NZkzL0RPPaOGCfLtb3caJmkYsGKtHbNDEP6rP2RxzqNF/KQ8j3PyCsgZPoKzDymGO4EDNSyGyXq3jS1uKzUOCwGLhjtm9iiQB3hp85P8e9sLAHx/5N2MTtt5/feg38ez99/GsgWfA5CanslVP3sAq7XrZ3i53yzjxNuvw+73UT51BvNuvLNnlemhLU0rMDHJdhWT5dr7OfijJsBj/4I/f5iAysW1zpfPRi6OQogE+dvf1NryDz+c7JoA8InLxf88HnTT5Ayvl39t387GS20cO6OMBfOdRGMmP3r///gk/0IqDr2SiB7YaR8VWzfxq59eQXX5VgByC0s469KrO5U54F8vcsjzTwCw4P9uourgaQk9j2VVH/GvlQ+yoX7xHm3vdKlpWlkJHIbVOrJLgnkhxL4iPfNC9MT//gdvv42BRtOJ57U11IYBRUcMp6rWyqp3NjJmeIQ707P46+NpkAof4W7bRWokxuTGEIfUB5heHyA1atLD2L1zVcpf5oUNDwFwwdCfdjm8vmr7Fp6850bKt2wEQNN1rrjlPjJzuk7rlrtqOd/6+bUqkJ9yKP97/AVirsQNrwfY2KCG2I/K3vnBw56yWhObvKi1Zz7BqxQJIQarbdvg2mtVwtQ+WMp0V0xgkcNBvcXC8X4/ADEDJs4LMSPHz31FdZTGp1+53QaxmMbHH7vIL41yRvEP2OLdxNH5O08p27JuNY/+/FpamtQVM7+4jJ/+6kmcrvb2ztHcyKR/Pg/Aoit/wtIfdD8ibE8tLH+HOZv/icfmYVLRMb3a1tcMnjSw7VmnfrekZ14Isa9JMC9EFwwDtm+HrCzwWIJw+eW8ZXyLc62vMumfJrfPqOcbu52v7Q7yj47ifUtn/jInVitsH2GlPt+CxTAZ7Q0zuSHIlIYgY1rCe7X2rGmavFfxCo+tVsPgTym+jFkF5+1Ubum8OfzhoTsI+LwAuDwp/ODm+zhg8vQu95uxaT3f+tk12P0+Kg6exntPJD6QB9jcuBSAMTl71zsTCsLffwvn/giGj0pEzdr5ACcyX14IkQCmCd//PjQ1wcEHq9d9rMZi4X23m/fcbv7ndrPdZmOoP8I3gU006zrlAQtnnl6EYWhYPqslkK0RCOmc+m0vx57SzJAhJqYJk7OP5v6DX8OqOTqcjsmyBXP5w69+TsDvA6B0xGiu/+XjpGV0npgUSsvg7YefpfTrr/okkAc4KH8WGhpTi7tOzNedyq3w42/Dty+H6+9LXH3CQOsYhozE7VYIIXZJgvm9ZBhqKlxLi1o6taysfb3w/fH43e0vHIY33oCtW9W0vzPOUL2iO5aFnr2XyDqWlKjOj6am9vfS01WeofnzoaoKcnOhoAA2bFDbp6SoMqYJa9aoFedGjoSKCmhogKeehY1j4Pu/gLSJTlYuWM6aJj++Uhefe+CkDj3u191Uz/UzKllfrbHsfxayDgpw27YwhxDG3UXfu2FAfT0EguByQmYWNMS/t8U/023bVN1GjIBCtdQ8myt8PFv3IAYxxulnMNb3IzZsgIjqWKG2YiULPvgbyxe8T+uY//ziYZx/za/xZJaxajX4feBJgZxs0HTVWdTsLqXygEnYomH+99RfiHboXUmkjfHkd63BvGGojqpAAFwuyMvr2e/FH+6H//wNvlkMr3yZ2DoeB3wNFCV2t30m2dcfIfqb3v5N9LR8x3IOByxerK7TTidMm6aupamp7Uuo+3xQ+Obvyfnf/1ShX/5SNZo77LO8HFq84G2BeOc5TicEg+oy7vOpNsnlUm2azwdL1XNRyg7USPuWk/80OvnMdLKl2El90Q5dzQHwz9VYPtxGimli2uCgSUE0DeYvtlFUEiXggznbP+Lf/rs44qvfMjZrPCFnE76Ag0hE1adm+3Lm/e9Jyjd81bbrspEHcc7Vj+H1p7JpC6Ru3sSYiqWsOu50XB6d2iHTqJs2M5ELonQyuehbHFZ2NpHmLDZu7Hk78vGb0FQH8z4ALYHBfEuH1+mJ2+0+J+2KEPuXfhHMP/nkkzz88MNUVlYyceJEHn/8caZN67737pVXXuGOO+5g06ZNjBo1igcffJCTTz55H9ZY+eYbmD0bVq1SDa/TqZaPPessGDdu/zt+d/sLBuHFF1XAG4upZXKzslRHQ3p6e9ms+IP5+vpdv5fIOoZCKhiMRKC2Vt3oOJ1q5biWFnXvFDbB74CgB2JZYCsEawE4y8BSBDU6aLng+q7aV9vc92UmzznjdyGFGeoLIGxi3xTBuTlKakWE9z4J858FFpXXyAT9P1EyM6KUHwxHHwWFhe31r6iAhYugskLVORJVD0rsdmiog8oq9X3bIwBbE3YtDatVIxZNwV56G1raeuo2XMjfNQ2IEmn6gpaKvxFuWdTps0rLn0XmuDt5+z0P/oD62WmAxwxwVfXfmT3ibMy8TFwpHr781h+YfLBGTh8F8t5wIzW+zYAaZr9lC8ydqx4OtZ5/aSnMnNn+AKg7s86EhZ/CT+5Ta8z3hcSPS0i8ZF9/hOhvevs30dPyHcstXw5r17YH26ap2sS0NJUb1WpV+5mYuoFnvvgpADWX3EjuiM7rrq9fD++9B19/rV43NKh2yzDUtVrX278HMFM0ok4do0bDSyoaBpaLDCqvKWRH9hUhnJ8H0D82aPxXFgFnlKcutDB2LGzdBiMPrKW5BWa/Ds1GJZtH3Iev9E3Q4b+B3zDvjYdAA9OMEvEtJ1D1d0KNH3c6hiP9UMh9iFf/5cLjb+Qn2/7IpdWvYmpw+LpD2JB3IMVDrAwfDpMnd24HE6WiAr5ZZKdqW+/akfOuhqJSOOEssDu6L9dbrfPl02CvRuElk7QrQux/kh7Mv/TSS9xwww0888wzTJ8+nccee4wTTzyR1atXk5e38/zeuXPncv755/PAAw9w6qmn8uKLL3LmmWeyaNEiDjzwwH1W72++gd/9TgWQpaXg8ahAcvFiFaBcd13fXvgSffzu9vfKK7BypQqa0tJUj4TXq3oTKivh8MPhsMPUU9w331Q3NkccoXL9bNkC//632vbww9V7Hev4wx+qHnJQveKtPvwQNm2CI49U7xvAnM1w76OwsQaKx0L6MeDT4YsVELSBNRtchVD4LtS+AzU1al/OX0Dw553PNRz/8nd4z2wGvwk57hq+Y77KqeE3efK//8c863SCVS7cVWG0zVH0TVHs26NoMbDoEAmrOXKaBrpFLckeM6C+AebNg6ZGNYqhsFDdeLz/HrT4IDsTQmFYtx7io+FpblE3ca2aJt+Lb8wLZHzxCK4tpxJ1NGOpmIC5wY3P+2fCLYuJ+pZhGh3PBHRrJqkll5GSfx4tLRrRGBSFKzm2aS7HNX3OEc3zcRtBsoJ13OW8n+JcJw1VUPk5HO/qm5uu1iH2BSnDaajK4vXX1ZLLubntvVDr1qme+jPP3PWN2IFT4a0VaoRBX+nvN2LJvv4I0d/09m+ip+U7lqurU+1hJEKnhKeRiArGfT4VUGZkwFXrr8IZ9bE6awb/aPweF61XI61avBpLllt4+80YVRUm27dDZa2V+nAKsaiBJ99HZLiN0DAbDSMyCU9wYJkYJTbCStofmki9ykstudgJkbeiEsu2KPblISJf2ogtsJCxuRF32I+JesjgKfOjW0w+n6vOLTcP9OwNrE55n5qS9/FnLgA9BoaOc/3ZOJeeQKDpNcLNXxJuXoBp+Dp9zhZHCZ6iqxjqOYhZ5f/j6OYvOabpC9Li5f6TNotqM4v6ZivGNvXZ1NXD8ccltm1ZsPZr5s/XsdcfRVFO79oRpxMuvjbxD4Nb58tnJHa3+4y0K0LsnzTT7Ngk7XvTp0/nkEMO4YknVMZTwzAoLS3l2muv5dZbb92p/LnnnovP5+M///lP23uHHnookyZN4pnWbOO70dzcTHp6Ok1NTaSlpfW6zoYBv/qVusCNHw9bt84hEolgGBpgsm2byahRcN55EAhYME1wu2Ntw5SCQZ1g0ILNZuDxxNp6Yatr7BimRnZ2GItV9c62eK00NNpwumLkZ4exmCaGAU895WHjNp0RE4LY7CamBoGgjWavm/qGKAdMCHD6mWoo9fKVGdhqDCYe2EhqqhqTvbw5jaXrM0jLjDJ2fBNvv6uxZbtG1MgmHLNRUNSAzRXl8zfCBBZqWK0FOJ0hnPkVtEzLIopGjHx0h53xE+to9IbxhTQiuAjFcvFkRil6fykt34TQNGhomIj3rEzyz23ElR6mJaKjuxxUN6XjSI8xdJyPkK4TsljwL7bQdJidW25ZyQknVBLQdU49+uge/WwK7vyGhkfqCfknoFtC8NMGjF+NVv/ZGEWriaDVh9C9EWLVERxVzRxSvoyyym1c+PKLHBdahJX2JXh+k3IWv0qPJwDS2pPlGAbEotAxhZ1KxKbeiUVVsJ+aZjJ2rMHBU6PMXxShui5MSrafiNZCZYMfn9GCmVZLs15FNK0a12cnodelYBpegpPnEjliIdqGTPSXMzDClZhGe1ZhK2BHzfFOA7LshThyTmVD4SVYrQ40I8bza25keHALI0JbOn1OGxxl3FL2c94pOonSEhg5CirKYchQ+NZJJHRY5OraL/l004vM2/Y6R5Sdw4jKl1i3DoYM2bns5s0wYhh855z2z3rVEnjlWcjKg/+7Rz0ASOnjQH7Ebkslz47Xn443pKapgo3Jk+GWW2RopOi9vW0fk3G8jn8TGRkL8flaCIdtWCwGDkeEzZth1Cg44ggX0ahOfn6A2bMN1q2D/Hwbzc0ebLYoWVleTFNdh1yuLCZPtrFxUz3bKyKUlGm8/m8XgXAu6GHssW1kBRrJpwEf4zDsHrYXRbFkxHCmaBwZXcXXsSOIFtkpHrqarFIr46bb+OsnE6n+dQrTsz8k1baVbdtg20NH4z1lCOSa4Or+4mt/dzueCxbgC0zCYmvGnbac1ls4AwPNEgJTQ4vpgIFp82GUrSTiriaWVo2RVoOZXU3U09hpv9pWN+a7FrTtLZ3alNT4VzZQZc1gTdGPcOaczmHer5m95qpO+1jmGs1PSu7mw/TDsVjiIxZ0GDYcUjwwdFji2hbDhNv/fRHV5iccwpOM1jpn0d+0EUYMh/MuUNfAgA/uvwYycuD6X6m69MEKeawEHgJKgZcSv/s+Je2KEP1PT9vHpAbz4XAYt9vNq6++yplnntn2/iWXXEJjYyNvvPHGTtuUlZVxww038JOf/KTtvbvuuovXX3+dr7/+usvjhEIhQvF1UEF9OKWlpXt887BpE9x5J+TkqN7qRx4pxv/mUmJHZkOX+cm19veNKIx/B9acjp69gnDdgdgjEYxulgvrZN1/0f76LQDMX4ThQRvc2MNKj4TR1ktZs/rPqkb1fszMHgwmrl8P3/4zfHIvOBp59cRL+E4XP5cuvfkjtK/UAxbz15XweT5M6sF2/hikRckf9ShVq25TrUospj5CEyCqXpgmxCzqSw+DFoHPH4Y3XoDn5oPNz9XX/ZqX/+8uNNOkzpKCYTjRrX6MiOrNtmgaMbLVZ/Jk+8/A/PA+ePBmGBcCW7zn29QgoMp6LLW44nPV+fcqaq8fi2fc7/F9dacaqvDaa6DFc6K76kCL//wjbvVlDYLdC386AurXwqObIOpk1D8/ovEQlZW3WXcRMj3oeggj1mE2npYNX0TJ+vdBWLPWAuDbejW+3/0OLGFwdCgbyARTx6M3YjcgrNmx3bWSxj8Pg+KluPLHYLk8lfB3UgkHDTAt4GxCs0TUKUcdEEoFPYJubsTz3BHqR/TcyxiVB+DcYMeaoSaJRiIGQa8F9Cip6e13Si1NMXgkBJsu4PzTZlH92fVUjIaV56uHTY4Ov4ahIJgxcHna379uNtz7XcgrgjdXwM8yYEkPfo2OBTpOh1wPXLSbbeqAQuCv8e37ox2vPztqalI9iPfeC0OH7uvaif1dXwfziW6PofPfxKuvHkbNfb8neNEBgNl+7QV1DUeLv2eq1yc+Ce9dA+5qYv58MhsbaW6tx666bquXoz05Qe32wQY4PwP+1MMKn2uSvvgRmtaqBlxftxVjREm8jiaYBhgxiFogooHmB/xQsRAeuwH+/DG4a5mdNo0ffL4BgDpLKqbhQLP6MCPqoa+m65hmfK7bJ+fDylfU63d/A4ddAT/XwNqhfQuq9i1Lq8Uaf6bdHHIQGhdi+NC/0OI6BgONxr+OJpodn5Llqot/VkDYA1EXWANg98EXz8FHj8LvlgMw61+rWXDMTACCgRiRoBXdFsaT0j7Pv6VB7cz13IlYtSUAhOddQuiCX8CxJlq8fTNNE/zZYFqwu7W2hwTuBVA/C/JGwEN/Ba0EflwITfXqo3V7wNXNw+DfADM6fP848I9d/yQB1Wa81uH7UvaPqVodSbsiRP/T0/Y4qcPsa2tricVi5Ofnd3o/Pz+fVatWdblNZWVll+UrKyu7Pc4DDzzAPffcs/cVjmtpUcO5PJ7290y7RTVmdNf4x9/XdDDUx24YdiyA2dPHnBY7ZseivfnpWUCzRdu+1ejhsmhGFDytY9Yb8QSDPT9m1Nte3+w1sL1nwbxWFcCMpWDLXKfeME11U9X20XZI8NP2GTjUV6Bafca+fLB5iVk0aneYrmG09TdAh1HtnT/bSCpk2tVXvCy0v/SRT+vgwwz3NvDlE43F7xBsNuj0O9rVcnAe9aXHg15fHkRd2O1p1Ozw+23gBnaYy55mpd5lgdabEpsL8iyoW4gOtxEprfXNbqsvlhzw50HICQ0uTNNOONUCqa0BeGYXvxsODG8mLaHa+A5TwZtH1B0kYItvZ7PEq2nvlAiIHAvY7BxTeh4nF53OX7zgtAP56na6029UvL4B2rMCH38MGA/C5EOhNF1lnK/bqX47C6J6l1q5erhdLdDFoIF+o6vrT0cej1qJoaWl6/8XIpkS3R5DF38TLivooBqNDm2y1vFF/Bs9En8rhg5Erdaejb/u2B67a8DM6HmFIxr2nK9APYvFtnE9odZgXtNAs6i2wYrqJidFfbmy1ANXn2ojUjI1andoL0zSaL3ydbqOW53tr0NpYEmLr5/WoX2LXzDrad+n7otg+jPwmulU15cCFkhvbW9gl+2bWwdbrWrfACvraOnYXqSBgbNzexHfXSDcgroaA34DUpyQBWYX7Vu4w+bu+HtmCNI1SM2ERmv7fuOPRbpkpXObEaVnbYZnh+0SvNrdPiHtihD7r6T2zJeXl1NcXMzcuXOZMaP9eejNN9/MJ598wrx583baxm638+c//5nzzz+/7b2nnnqKe+65h6qqqi6P09c983PmPIgvvQl/QSZWSwt2az1mDHJzTLyBUsDAKPZjOHR0I0rhvDVYauyk2wLMRGfN6NHEdJ0lUQcRDLJzPVhTUtGAYF09TY1BbJYAeaHVpDZUEwrBqjVDiKanUjs+jVC85XD7IaXFisUIM7wWho9Q2V0XG3asW8spKnDhyFItWgUa1c1hLJYQDlsNVVXq3iEUyccwbPhSg1THdKo3BsjcWktJ1IHNGmJ4lY2GIQVoGlRm2Qk5wG6zU9Gci8UCbr2FFHczLlcU19ZF2MIqVPMFCtHLCvGV2mlxqcRvul9jrMOG3RHjEC2MLT5TeV1II1ReRVa2g9TCIkxgrZnKxrX16BaDtJRyYjHwejXC0SyCITdea4hqGziaGohs8zIq7MLUDLIDVsJZ+Wi6Rm2qhZZUK8GARtCXTSQChhkju6gRANfmueioe6loJItg6UjCzigtVnWroKGRG1G/L566ELpfZc4JRf1Egk0Qgca6PEyPg2hJGtm5zditkJVRy7AyjfJtGrqZCmY6YUuEjS0azop6oj4NZ5ULDQu2zFQ0ZxbgIWxzEnLrxGLp1HsPpfXmMy1tGUbAwNzuJ6pZiWDD0Bww0o3VZhA1o21DCGMhm6p5OB0nGYTDECv34rBWYMasuMPDyDkApp8Klb7tNLZEufjSCKWl6rLg9+vUVFpxOA2Ki6IMj6m/oy0b7YSCGp7x2RTlqp6f+qYQi9ZU4nRoHH5Q+2TFrVvB7YVJRWpe6Z13gjMfmtNVsqiOf4J1daoH4Jpr2p/+j6Xzc6sNdH8z1lEa0HHKZBBY14Pt8unfS9NJD4roS/t7z/yaNc/SYN2Id3gWFj2E095AzAAzauLw5GLVdQJpIdZXa9hsULBgGVkNNmx6kEkNOuUTRhKwOdhgt+LMNGmssxOzZ+L3mjRUNpGR7sc0Q9i8G4mV12EAsXAhMUcqzcNcRBwxNA1SrFZSgm5SUqOUea1Ewxrjx8P6qMbmr6qwB2Dr5iz8frAPt2ErMTCJYbW1r0Ufi2ZhGi4CFh9+SwwCESyba8kNpaNpBmlVMaIjywANf4qFmN1CMKjT7E8HdHQ9Rn56CLBgq9qI0xfB7bYRNfOJZBVR4cqkmUwgDUwbrliUGFYMXyHRaPxnYWuELTWq190bX+djdAxytqnXlnD7Q5KYBV23YGoxrLYYRl2MAi3K2JEOIlH45QMFZIxRDw82lTezbnsDeVkODhpR0HbOH361BcM0mVnow21XwwMa6iysbHKip0NOXpTqanjxH5BqlJLqcpKa2r5QgO6D6HqVk+X++6FoKKzp4e/REDo92qCCngXzNmBMD4/RX0m7IkT/s1/0zOfk5GCxWHYKwquqqigoKOhym4KCgl6VB3A4HDgciUtZWlamsnu2zi06/PBb2v6vR3OLrty743ec23RsdodOhHQwC9TxDzi253ObupsrFYvBE69BUzPEUlRSn9oMaNqinuBGo+qif/XV8MUXKsGbaUJ+ERw2CT6vhfIGtb/CQjh8mnq9J/OvOtWxWL03Z446ZsgPLfVQkq2StiythFVe9SR5YwQiNaqhNwyVjMduV8vX1NSoDLiNK+OZ3jVVrnVUv7G+w6AATdUzGO8gb4m0ZzMG9f+pqSqxjhEB8xvwrYPcoXDuEeo8H3qo/TNuq79PZfyfv07Vjfr2z7+rx2yaBl5tQluG447vW+pUHW2mOg/TBC2eDVnXweIELQhWUtCso9A1sHqgzAHD/RBaVcyxk+Gagzr8TLJRYwZ3cGBXnTHpDo48ZOc+7QM7bJ+a2vlvR4vS1jVvmlCzEo6aDCeXxTvWujC8m/d3xwnsuxSZfWfH68+Ocxu3bVN/W7tbFUCIZEh0ewyd/yamTPnhbuf7dmpPpnX+GxoaL3/2gXDTTe3X7TFj4Kn/Qnlz+z5ar8MWi2oP9dVqhZe0NHC7Vbt32ESVWGzydHV8UMdetAgy01V2fKMSwlvV0nQd99uVGNA6DrECYMUuPhgdvB7VVoFqnyaPUvWvqABtDe0p2GkfDdVZBjuldFtjgTWdr/Wtn6GmqyVWDQMcNhg1DTIMmHIIzBzVfl0/sCgNina+OT1wahcXrjw4osO3RibUOdXPZfR40Orb/880YWVd+zVQZ8+v+4Xxr8FA2hUh9l9JTWNht9uZMmUKH3zwQdt7hmHwwQcfdOqp72jGjBmdygO899573ZbvC7qulunIyVGNflOTasibmtT3OTkqk2pfJQlJ9PG725/Xq57AWq1qCbjWGw1Ni9+46DBpktpHSYkqEwpBcbEqV1zc/l5JiQqQE1XH5maV0MhqVcvJtQbhLS0qOVprne12FdTHYu11tlrV9laruuGyWtXNWOt5RSLtAbCuty87ZLGozyAYVP/vcqn/bwv040vltd44pabChAnw7W+rY3RX/02bVFK31oRvrcsddTXS0zR3vtHTtPb6G4ZacaD1nGy29s84FOp8nrqujltcrG42+/r3FpL/tzMQyGcoRGe9/ZvoafmO1+3Vq1V7Z7XGH/Ya7Q9cW6+ndns8vYup2oeSkp2vra3Hbr3mZ2Z2XoKutX578hnsyGptb4/S0tRDbIdD1cvlam//9kRru9eqtc0yTXU+oM7Rblf/JvKaJNfAxJPPVIj9V9Kz2b/00ktccsklPPvss0ybNo3HHnuMl19+mVWrVpGfn8/FF19McXExDzzwAKCWpjvqqKP41a9+xSmnnMI///lP7r///l4tTZeoYYRdrcc5bpy64CVrnfm9OX53+wsEdl5nPjtb3dh0XGc+O1s15B3XlO/qvUTWsTV4jkRUT7vPp4J3t7v9mJGIOgfDaO+x1nXVOLU+hKiogKqq9t52XVf7GTFC9fZv2aLmizU3q/20Lj+Um6u2KS9Xgb4Z7xUvKlJL0l15ZffrFXesv9OphqOvXt15rXtdV//ncKiy4XDn3qDW0QStN4k2m7pJczrbb9L8fmhsVNu3lnc61fkPGaJu8Pbl721Xn8O+/tsZCOQzFH1hf8xm36q3fxM9Ld/TdeazstRrp1OlTdnVtbV1n/Pmqde1te0PklvXmW/9Htof1na8Y2t92Nz6kLfjg+DWr47t0bHHwtKl6jyqq1Wb19Sk2s7Wh/W70rpPi0W1gc74NHy/v/Nyfa1pYyZOhEMP7btrklwDE08+UyH6j/0im32rJ554gocffpjKykomTZrE7373O6ZPnw7A0UcfzdChQ3nhhRfayr/yyivcfvvtbNq0iVGjRvHQQw9x8skn9/h4ibx5MAwV6LW0qJ7YsrJ9++Qy0cfvbn/hMLzxhgo4S0vVjYHVunNZ6Nl7iaxjSYkaAtbU1P5eerq6gZk/X92w5OZCQQFs2KC2T0lRZdLT1fZbtqjGq6JCzet2u+HAA2HmTFXXTZtgzRric/XVe4WF6kYFYO5cdZPn96uhauPHq1ENXZ1nd/VvaVFB+6JFsGyZujE69ND2Yflr1qhzaR01kJenHjj4/eoGy+NR+/P51L+p8cl/LS3tn01trfosRo9W+2gtu69/b7v6HJJRh/2dfIYi0fbnYB56/zfR0/Idyzkcajjytm0q2Jk2TT0s7Xjd7cm1tXWfTU3qy+eLZ1x3tz8cbmlRc5XdbvXwtaVFtWsABx0Ep52mvp8zR7136KHqeKtWdd0edTyP1mRnTU3qQfKaNer16NGq7g0Nah+Zme3noGmqDUlLa29v3G71gKO2Vr0eNkxtk57e99ckuQYmnnymQvQP+1Uwv6/t65sVIYQQYn+wvwfzQgghxEDQ0/ZRnrUJIYQQQgghhBD7GQnmhRBCCCGEEEKI/YwE80IIIYQQQgghxH5GgnkhhBBCCCGEEGI/I8G8EEIIIYQQQgixn5FgXgghhBBCCCGE2M9IMC+EEEIIIYQQQuxnrMmuQDKYpgmo9fuEEEIIobS2i63tZF+T9lgIIYTYWU/b40EZzLe0tABQWlqa5JoIIYQQ/U9LSwvp6en75Dgg7bEQQgjRld21x5q5rx6/9yOGYVBeXk5qaiqapiVsv83NzZSWlrJ161bS0tIStt/+Ts578Jz3YDxnGJznPRjPGeS8t2zZgqZpFBUVoet9PxOvr9rjfWWw/74MpvOWcx4c5wyD87zlnPvfOZumSUtLy27b40HZM6/rOiUlJX22/7S0tH75S9HX5LwHj8F4zjA4z3swnjMM3vNOT0/fp+fd1+3xvjJYf18G43nLOQ8eg/G85Zz7l56MkJMEeEIIIYQQQgghxH5GgnkhhBBCCCGEEGI/I8F8AjkcDu666y4cDkeyq7JPyXkPnvMejOcMg/O8B+M5g5z3YDvvvTVYP7fBeN5yzoPHYDxvOef916BMgCeEEEIIIYQQQuzPpGdeCCGEEEIIIYTYz0gwL4QQQgghhBBC7GckmBdCCCGEEEIIIfYzEswLIYQQQgghhBD7GQnmhRBCCCGEEEKI/Yw12RVIBsMwKC8vJzU1FU3Tkl0dIYQQol8wTZOWlhaKiorQ9b5/3i/tsRBCCLGznrbHgzKYLy8vp7S0NNnVEEIIIfqlrVu3UlJS0ufHkfZYCCGE6N7u2uNBGcynpqYC6sNJS0tLcm2EEEKI/qG5uZnS0tK2drKvSXsshBBC7Kyn7fGgDOZbh/KlpaXJzYMQQgixg3015F3aYyGEEKJ7u2uPJQGeEEIIIYQQQgixn5FgXgghhBBCCCGE2M9IMC+EEEIIIYQQQuxnJJgXQgghhBBCCCH2MxLMCyGEEEIIIYQQ+xkJ5oUQQgghhBBCiP2MBPNCCCGEEEIIIcR+ZlCuMy+ESADTAN8WiLaANRU8ZaANkOeDpgHeTdCyRn2fOhpShvb8/AbyZyP6B/kdEwPJQPp9bj2XSBNEWsCWCrb03p3TQPo8hBjokvz3mvRg/tNPP+Xhhx9m4cKFVFRUMHv2bM4888xdbvPxxx9zww03sGLFCkpLS7n99tu59NJL90l9hRBA0zewbTY0rYJYECxOSB8LJWdB+rhk127vNH0D656Fqk8gXK/es2dB/lEw8oe7P7+B/NmI/kF+x8RAMpB+n1vPpXYeeDdA1AdWD3iGQ+70np3TQPo8hBjo+sHfa9If8/l8PiZOnMiTTz7Zo/IbN27klFNO4ZhjjmHJkiX85Cc/4YorruC///1vH9dUCAGoC9fq30H9YnDkQOoY9W/9YvV+0zfJruGea/oGlt0D2/4NUS84C8BRoG7Itr2p/m9X5zeQPxvRP8jvmBhIBtLvc+u5VH0C3o1gRMGWof71bVTv7+6cBtLnIcRA10/+XpPeM3/SSSdx0kkn9bj8M888w7Bhw/jNb34DwLhx45gzZw6PPvooJ554Yl9VU4g9V1sLoRAYBphm5//TNCgtbf++uhqCwe73VVbW/rqmBgKB7suWlqr9t9bB7+++bEkJ6PFne/X14PV2Xc40oPFV/P5Kah1DKPVb0fxevBY7SwPjqK6pw7Z9NlkHeAEdLScbS7WNaBRyHA04Ii1UWu14gzpNTRZSXXZGF6aqfefm8vXWOqJRjTEZDorCXjJMk/KmZjZXhYg5NCz58c8vK5O6ZheRiEaGvRlnpAWAUFijocFKmWkyZWhm234/qmqmMWQyMsNJetSnPhKfj81VQSwWyM2JYJoG5UufZ+Oc5Xj9GdgtAayxKupTcglHsmgOpGChlpEpP0NLn4DPaWVjJEo0YmWIbmV4UxV63QI2adVUGsMJeaJkeBoBiNgseANNRC3348woINVsIqZbCNqdBJpTyWoKcgjqM/c5bSxITyEUtlNisVMQ8xKzWNjuilHltQGQY60EDAwNwgEn4YgLhyOA0+rHl5JKyOHC58/Ago3xBHGHQ5garCVCIGwj25nKcH8tmq5TkWKyrcVKICWVVEcdFkyiFgsBM4Vw2El6oIZMsw5T0wg6XTRGcnEGDcYRxmEahFxOlqc58IZsZOCiKBrAYonitUeoqQ8RjVpwmy1YbVEsjghh000w6CYas+JwhtE9USIeO35/KmbESWHYSqG/HrcrxEZrhMaADU0vZJS3AZcjSFM6bA4aNDmzscUiOPQADleAgMVNxOdAb4iSbjTitHsJp9vwRjLBa6Uw5CadEJacGOvT7DQErNgi6RRFw7jtATSrn23eAOGwHUvIwOKKkWGvwW9zE/ClEYo4sKSa2G1BzFSNQNhDNGwnJ5BKSVMd6SktbHWZVPusxLR8Rvn9uC0+whkG64AmazoENVx6AE9KEwG7i2idHbMFUmjBZfERybYRCjiIhexk+tLIIYKeZ1CebqXKZ0EPp1DUtBZ31ItHj1DJOobF/Fx06kSKcsdD80rY9jqkjZEhuT5f9/9nsYDT2bOyug4u156V9ft3vua30jRwu/esbCCg2pPueDx7VjYYhFgsMWXd7vb2JxSCaHTnMqYBa16CYA2kH6DKh6OEAx7stpHQuArWvMymvJ+yPhDCdDThybSBrhOLQc12A82IkZ/fvm9XrUEs5GBkQQ7pBS4qdJ0NjeVUb4uRY09nSIm67W0KNVNe48cf0PF4DAqyLWToGoYBFZsMQrEYthITPX4KLS06Ib+doblZpOc5wGKhsqWK7VsijMLDuBIrljUv0Vy7ha9bXNT6RuFOsZOW4QM7EGmkqqoEs8pKbugVLMPPwW614Gwy8TXpDLfYycrXWbv2NVasr2BT/TB0v0mavgWfGaHJZqOueQve2G/xOIrJ0uqwRiOYpklDcyp+qwV7Vgyrw0rY6SQQttAY0CgKx8j36Bi6jo8g270m6Q1B0lLDOAnid9nZ5kwhEEzBYoliywhjajqmptHSlIkZ1kn3eElx6aBrGI0xaqptDKlvYURJlObUVJotEVZFszCDDrI9LTg9IfwOB83hGC2NOTgifkocqwENt7eJxqpcvNZM0jN9uHPteNPSCYctVDSkkB42GJHtBYuVICHK63Ss1QYFriYKqaApNYVtDgf1NcXEPFZycssx479nzU2ZRINOPC4veZ4wGiaEoWK9nazmMGOH+Ql5UmhywPpwKiG/g0xnkDRPC363i5ZYgIbaImyhEEMdKzAtGmlNdTQ25lBvK8bt8pJeaMWfmoppwtaqDFwRk5HpjVgddiJEqK6JEK7TKTS9lDi2Up+dQ43TpKJmCDG7jZyMbWh29Tvl96US9KbisPspTg1giYXRNJ3KVXbcPoMhQ8LYUhw0uR1sjui0NHtIt0bJSm8g6HbiJUhdTT7WliAl9vU4rEHcvmaaglnUxsqwOULklGoE3U5MTWd7TSqWkM4wdzNuj5UYBs11jTTUuCkI+ClL30xdbh71doPy5lLC2Mn2VGF1R+J/xk68TdlYtTBD0+qwmwaGptGwVsfwWygo0shI06hPS6EmFKG6KYU0NHKzagg5nfj0MPX1mej1YQos20i11eMIBWjWMqj2DcNwQGFJgKjDhWG1UN3gIRKwUWr1kpkGYBKsr2FbbToFtX6GFm6mOr+QFmuM7eEiQmEXGbZaHGnqXjca02msK8Rixhiesg07OjrQtFWnOeyhIN0kKxu8KSnUG3621abjNqwUZlcSttsI2kzqWzzo5TEyLTXkWrdgicVocadTVTecqNNGnmchmtmC4cmk2a8xre4LTj96DOOG7eP22OxHAHP27Nm7LHPEEUeYP/7xjzu99/zzz5tpaWndbhMMBs2mpqa2r61bt5qA2dTUlIBaC7EbM2eaprpN2/lrx9/bE07ovqzF0rnsmWd2XxZMMxhsL/u97+26bH19e9krr9xl2Q1/+bapXbvC5Fm/OX3JUrNo2zYT0+z6K9hkkrVGbXr5DJO7MWna2n35Dl+33n+/aYJ5+uST1faXrO7Rdpim6Ry/qr3O775rap/W9WzbVW+YjHldbXraFSa/HdHjY74b/9nlfH+oSYZp8udwz7atNU0Wmub45cvNEWvXmgVbN5sYRo+Pu8+/GmP7/ph1SThmcC9+Bv598/PTNm4xAfPLv37fNL++yzQX/MQ0P7/INFs2mnuqqampT9vHfdYe7+p6d/LJncu63d2XPeqozmVzcrovO3Vq57JDhnRfdvz4zmXHj+++7JAhnctOndp92ZyczmWPOqr7sm5357Inn7zrz62j73xn12W93vayl1yyy7Kx964y31//gnn11/NM/Y2omXd8Raf/n/CjeT3/u5j6nAmmeT+3muby5eZBPd3uq2dU+3RbijrsYb34WzzINGvJMk0wH5uOyQdf92y7zZ+ZnHC9CaZ5IX8x6zMyen7MV89T9b0bk7TNJj/vRX1bv+5PVdvXtvRuu7+aJpaA+a8zz+z9Mf84w8RTYfJeL7dbWa/q+vjo3h/z++pX6dKnH+vddtGQOmbxFyaRXh7z6Vq17ZtX9r6+I2ImmGb+8vW9227df9UxL3+998c826u2Xfpi77Zr2mriaFT3PL095vu3qWP+/eXeb5sWU9s2l/duu6//apKzwuTMPajvH+P3sGs+6vr/DcMEzH8+ePY+b4+T3jPfW5WVleTn53d6Lz8/n+bmZgKBAK6OT8XjHnjgAe655559VUUh2kUi6nbEalW9Dq1frWw21RvfyjDA4eh6X7re87Kgyrb+fyy267I1NaqurXXurqxp8FZ5MXx/GAx3MS91Qtt/aeEIpmEFzQA9vq9oCM0SwbQGsaJjiUIoGoJwGAwbYOBAlTVtNsIRDdCw6jEspolht2PRAEsQiEAkPmpBA2J2MDV1LC3e82RqYNjR9QiGXT3+Xr6xAm2sgRk0segGVkMdL6ppxEw7YIIlrHYbjYBmYlqCoMXU/0WDar8xtT8HIfXxAxHNBqaOrsW49447uOnhh6kbMxL+CGDr+jOMREGL9ySZgOaAyRorOaD7n0/8sycU/93RDPVl7+YYO9AiBvZYmJBuAcMKFkDTsJoRYhrq52Yl/ru5Q+9gCEADSwg0E2I2CJqAhk4MixYlEv+s40cDTDQjhhnR499roMd/Lwwt/rMHrBpYdjgeoIVN7GaYkK6rslEgaGIjgqEbxAw7OLSdtlM/lPhrPaKOadohpsVrZqJbYsSsOzd9lmiEmGEBM/4E3TAhGur0s8ceP50dhdTvRVjXMA17W32tRNG0GBHdBtYunsxHgdbOTS0GVgOiOpiWtiK6zcDQd97WFg4R3bG30+qBwHaVhKef6hftcTjc+Vpq7vw72CYS6XnZaHTna3R3YrHOZXfVy20Ynct21cvdsX4dy7Ze13tSNhzuvix0LhsK7b5sa0/+rkabAb8sOok7h5+uvjkIGpZnwnvt/9/siKprjh4FPf45dfy7tLTXRSOKpgexGDG+WrWZ0LARYNv5+h3VIWZa1d+aFkU3DKy6HVO3E7EEQdcg0uFnbaiyFmJYUZ9/2AJmzIHVbP/cLCZo0Shm0FR/03qHn1XM0am+WjSMToyYJYgtpn5OjmCwbb8AdsIYmklMB9OMX781Q7UHoC7XEbf6HQlHwaKBpWftgt3QMWMQiUQhCNjNLq5vHdoEIwYxEyKqDqZh4AgGiVg0DKt9xw07i8V/Rmb8c4mYEIqpZlKzdL9d6zU9YuCIghE1iURC6ue5i1sadcz4/Vf8Z69Hoqq+VguGZRfhjxmvrxFRr/UohEyImvFjdtUIxEVN1d7EVH1j0RjRaBAMR7e3BO3btv4e2wATSySifh9sNswu2oD280TVNRavL/G/Fw3VZu1KJAaGBUxV30gsghEJqvuSXfxYMA11vGgINDdgogdj2IgS2tW9JqifpxlTv08m6t+gqSZ+7+4zikTUPYFm4mi9n4wEweLY5Y8FIwZGFD0awdBiqn0PGti1KGH7bj6kEEDro0XUZx001T1Tx89ox6ZhH7bHmmnuqmXatzRN220CvNGjR3PZZZdx2223tb339ttvc8opp+D3+7sM5kOhEKEODU9zczOlpaU0NTWRlpaW0HMQAoCKCigshMpKaG5Odm0Sx7cNVv+OmDWL72kX48gKUOyvoaCpDk84BEYIYj4oOB7smcmubbeCfh/3XXsxVdu3APAT4JfAD8+Cv01UZawxmFmTzmRjGGZ6HrqpUTX8QNYfeAxuSwFHLNvatr/GFBe/+17naT7OgJ9UbzOp3mZSfF7cgRZc/iaO2BAiP9DeYm3PTqPR48QWNbDEDKyG+iJs8sdnplFX5ebWGz8mzR4iJRjmvfdG8vrrBzJt+lYu+dESLJqJVYfbbj2WWETj5z+bQ2GBH4sOy5fl8uWXRYwZ08Cxx25pO+bHH5dimjBtWgUej7rZrK93UlHhIT09RElJ+zSLigp1Q56TE8BmUzeQoZCFQMCKzRZr2x4gGFQtm80WwxJv5AwDDEND08DSIXA3zc7PtUQPBKph84tgSwNL+7DrI6cMISvdBeEmCNfBQfeq1Rf2QHNzM+np6X3WPu6z9nj58u6DXoul8wPLXU1B0vXOQ/J7UzYQ6D7417TOQ/J7UzYY3PWDgo5D8ntTNhTa/dD5npZ1udr/wMPhrn8W/u2w5mnOO/YOXiqdzviqciau2Mr0qvUcEKgAIwhRH7f5P+SrlnmcX/x/HFt8cduUMD0SQY91/2Ajanf0uGzMZse0WNBiUXJXLqNk4ZcULvuK7QcfyvLvXKhOqbaGc644u33/DictBUUEs3IIZKaydayHTYdNAP8WLBGNgtU1BFOdRFx2YlaTmBllzvwaPv5gIRVNfnacJGfY7eSXZFNQWkB6aio2j8nc4V/T4Gi/hyiMZlLmP50hRTk4rRm49TRm//p8qrbkcu6lcxg5q5Zfn3sKI9bVUTfHQ3GghTMnriU7EsYRi7FuWRr4YowqrSfHE0ADwmEdn9+OzRbDnWZg2lT7FAsbWCIRdN3s8lptWCxtZTEMLLt4GNSbsqbFgtFa1jSx7OLBUa/K6nrbQ34Ayy4eMvWqrKZhdLie9KpsKLTLv/vYHpbVQyG0XYR3sQ7XqV6VDYfRdnE96VVZh6PtGqFHImi7uJ70qqzd3vZ3r0Ui6Ikqa7PRemOjRSLo3krY+rLKXh9vj2MOK1MPKKIkP22ftsf7Xc98QUEBVVVVnd6rqqoiLS2ty0AewOFw4NjdkyIhEqW8HEaMgOOPh3vu6TzPcH/nLoLU4URr13Ja7HOCLTs8uo00gbtYLcPTT5mmyd+eeLAtkC8bMYYL09JpXDefFw9SZc7PmsRpudNJcaSzoGAcc4sOZF7BOLwO9bMsC5vckz8FhwkOU/XGpFcZlG5+h7KqRRRpWTg6NWImeNepeaEzf7DT/KkPPoAnnoAJE+Dee9V7mgZ/ugViFXDYkGM54gg1kGPGDJg1C6ZMKWXmzPZ8C9+/sPXVCW3vnfPd1lfDgMlt7+9mwRDRX5kGrKxVyXXSxnR+GmKaENgGWZPVsjj91D5rj93uXfdg71i2N/vtqW7uSfa6bMcHBoks25ufS2/K2u3qa0euEZA7mv9tGgelcMTS9ZxV8zUAMacDgnWQOYRbRv2eefUfk+sY3p7bBTBstvZAbjd2VVaLRimdP4eRH7xD8aIvsfvb8yKE0zKI5uaC1UZLaRkfPfA43qISWopLCWTndvgbNGH7O+DbBJ4MopEmNk8bDmhgmsTCTfzp+a/5cs7qTsceMn4Cs867lJETp5JbUope+T/wbaZat/HomqdoCDeTZk3l8qHfYbI1n5f/cTlz5ozkzi81HA6IemBYBtRXwRlnHM6UUXAzkDa+AMYDpAJF7Qf8Vo8+LiHE7pgGrGyJt8fjk9oe73fB/IwZM3j77bc7vffee+8xY8aMJNVIiB3cf7/qDams7N2N334gHNGx5h1HS3UTkVANODJBs4EZUYG81Q1p4/p18q257/2HLz98BwCn28NVP/8V32Tn8NzCX2FobzHWXca5uVN5Z9SRvDbuJGrd7SMMMoNeZnkNZkTSyN/hAe6FTTpYxkJoPoRXqyz4VhdEAxCqVCMVCo4jEtWZMwcmToSsrPbtV65UsUdenrqvt9vh9dfV92Vl7fewBx+svsQgpOlquRvfVpVcx1WihvJFferGwZEDJWf2678/IdpoOsHME2nQVY9TWqRJ3SAbIYg0gDUFMg8m1Z7JIVnH0xLdRfLBPaSHw5xz+Vl4atunEIRS0yg/ZCblM45g+/QjOj2Q33DSGd2dDGQeDKE6tTyVZlFrzOs2IqEgv3/mMxYvVA+QNU1j4lHHc8LFP2DUwdPQOgYB8X3EfJsJxPzkO3J4YNy1FOkadc1FfPbZcJrqNSI+sI+E84BLL4L7gdbHQbsbWS2ESIB+1B4nPZj3er2sW7eu7fuNGzeyZMkSsrKyKCsr47bbbmP79u385S9/AeCqq67iiSee4Oabb+byyy/nww8/5OWXX+att95K1ins1sKFC3nqqaf49NNPKS8vxzAMioqKmDlzJhdffDHHH398sqsoEmXzZvj979Xra68dcOOIH30hkztemYJ7ypdc9a1aRsV8atkd3ap65NPGgTMv2dXsVvmWjfz9yYcAmAJMufY28saMJeTx8J/1GyGURsapf+HiEdNotqtbo1xfHSdv+JwT6hs5OOUwLKkjuj9A6ggYdjFUvgctGyBUBbpD9cgXHAepI7j8Ipg/H+68Ey6/HFJT4dvfhuxsmDkTMjLadzdtWt99FmI/lT4OxlzXvq5tYLta1zZrsrpxkHWou7Rp2zaGHXtsp/dcTicZqamMGzGCwyZP5pKzzmJEWf8d1TAQ6WnDKCkOsA0XOdSoa6ZmA88QFdi6CgEIGLued99TWixK/sqlVE5QI5UMu52aMePRjBjrTz6LDSeeTt34CZiWXU0Y7oa7UF3nGxaDdz2Eagj5mnn66bksX7odAKvNxg8fepqDjzlhl/sobFjMnRYrJY4UsqxO8JSRPWwm9z1nwW6FYRPhXKARmMuupzcLIfpIP2mPkx7Mf/XVVxxzzDFt399www0AXHLJJbzwwgtUVFSwZUv7XM9hw4bx1ltvcf311/Pb3/6WkpIS/vjHP/bLZekMw+DGG2/k0UcfxWq1MmvWLE4//XRsNhsbNmzgrbfe4m9/+xv33nsvd9xxR7KrKxLhvvtUgo7DD4fp05Ndm4T7cJ6byKMemr59LysWfsGocq9KFGNxqKH1/bhHMBwK8uz9txEOBRkHfKlp1L35Mu+e+R02Na1ia/NK9JLDmD/2SAxNoyQU5crNGzirugq7+2AoKO7Z+aWOgJRh4C+HmI+KmjQKhuWjxbvWTzoJNm2CnBwYMqR9s3PO6ZPTFgNR+jg1zN63RSXXsaaqoXz9+O+vvxhRVsaFp6tka6FwmOq6OuYvW8Z9Tz3F/c8+y81XXMEvr7++c2+p6DN2O0RS1fD31MwZanST7gRHNmgaD634McWu4UzJ/hYptow9Po7N72PsW68x/t8vk1JTxSvPv0bz8FHgcfP5fY8QSsvA7CIxZq+5C8FdAME6gi11/O6mG1kTD+TtTif/98gfOWDmkV1uapomoagPl7uIzKzxlMTOYNEck5o0O2PHZ5KVrXPigSrP1s+AVUA28BrSGy9E0vSD9jjpwfzRRx/NrnLwvfDCC11us3jx4j6sVWLcfvvtPProo0yaNIlXX32VESM69+gFAgGeeOIJ6urqklRDkVDr1kHr7+s11yS1Kn3lxd+uJyfVCownF0+Ps6n3Bx//5zW2b1oPwJNOF9ZggEBuPlGXmy83/AuAQ8jiqBqNvBic1GLFymjIG937g2k6eEp49FF47jl49lk45hjIzIRbb4XbbuvdlFMhdqLpe5xUZzAbWVbG3ddeu9P7c776iotuvpkHnn0Wi65z309+su8rN0g1xh90eixp4G4f0l4d3M6HVbPRsXBIzil7tG8tFmPU/95kyl+ext1QD0AgI4v05iaa48Ogglk5e3cCOx8VnDm88ptHWLNE5QBwelK47vE/MXpy9w/5V9XO5cl5P+CkUT/kh4f8Gkjhb7+Hmgr4+yfQmv/qFeBfqOTfLwElCa69EKKXktweJz2YH6jWrVvHQw89RHZ2Nu++++5Oy+kBuFwubrrppk6ZfcV+7P77VXbfWbMG7KTmGmM75IwBIC9iA3azlFE/smLRlwCcBBwTDBCzWnn9zvvx262cOPIq8l2lHJk7k8MbE3fM5mY1UGPZMrjsssTtVwiRWIdPncq7f/wjE884g4f++EeuPPdcSgsLk12tAe/zFQ5Co1UwnxLtnPnabUnh2jH3s8m7Hrc1tdf7Llo0j+m/f4ysTWoqZ1NJGV9fcR0bTjqdmKMXiQH3wJZVy/n01b8D4HC5+emz/2DYgRN3uc3C8rcJRr2EYmo1EV8zBP3QUAOu+DOOTUA8Ryr3Acd2sR8hxOAiwXwfeeGFF4jFYvzwhz/sMpDvSDLtDxALF6p/v/vdXZfbj230boeUowBID/cwU3Q/EItFWbdyKVbgMd0CRozZN93Oz4+cTG44yi9Whfnh8KvIdmXtdl+7snUr5OaqBNIWC9x9N5x3Hpx6akJOQwjRh8YMH845J53EX994g9fff59rL7oo2VUa8J54PhOugguvasR1XOdRmim2dE4pvpDyQDVGL1dRdtdUcdw9N2ILBQmlpLH4hz/hm/MuxrD1/YB00zT5x4N3tY06PfXKH+82kAf43kG/YFrxKYzPVclSPGnw5H8g7IW8+HOll1DLdB8F3No31RdC7GckmO8jn3/+OQCzZs1Kck3EPjN7NtTWqvXDBqDLbsunvmAoHK0y9KeFI8mtUC9sXb+GUMDPdcBoI8bSKYfw/bt/jt+qYw+aOExItafs1THmzoUf/1gNp3/mGRXUWywwalRizkEI0feOnjaNv77xBguWLUt2VQaF4rwoY1NCTLCF6WqGacgI9zqQB/Dn5jPnxrvJXb+KJVddTygjc/cbJciC/77J2sULAMgvG8Zx37u8R9tpmsZhZWfgsLaPGnA6Yfhw9ToMzI6/fyN0+XkJIQYfCeb7SGVlJQAlJTKbadAYPhzy82H79mTXJOHWbbbxwr/S0caoZJWWcABnzNjNVv3HmmWLSQPuBraUlnL8++/RbLcyxBfE9eJZzM0+ivEH/HSvjqFp4POpH7/HowJ5IcT+pShPrcZR29CQ5JoMDr++pZZ7rq1jSYMDL+1JBzd5V7O08UvGpU3DZe3ZiKnhH/0XX24+VQdOAo+HDd+9gA19VO/uhAJ+XnnkF23fn3vTXdjsux59GYx40TQLKfb0tkB+63ooGto+Tx7gQ6ABKECWixdCtJMHe0Ik0h70IOwP0lIMfn1LDUUnzQHAFWhJco16Z83yxQwFvs7LY9aHH1GdkU5RIMLpn/yVpRXv8tKGp7Fqe/ds84gj4N//hs8+U8vNCSGE2L1IVMPYYfGAT6rf5Kk1d/D3TY/ufgeGwfRnH+WYB2/nmPtvw2nGIHXvRlrtqbefe5KGatWZc9ARszjoiN2Pzvzf+j9w83+n8+W2VwEIBeGn58D3Z0FdZXu51l75y5CeOCFEO7ke9JGCggJWrVrF9u3bGTNmTLKrI/aF3/wG6urU2mO7yZOwv8nLjnHDZQ08ueZt4ChS96OkjYZhsG7FErwWC7P++z/MkSPICUV5cFUFlpSJBMbcRnFKSa+XoorF4Kmn4KKLoLBQfbUOhxRC7J/Kq6sByM3au/wZomfec7u5Lz+LYY0RLtjS3Pb+V3UfAzAubdout9diMQ57/AHGvPsGAGvOOo9QXnLa35ptm/nvX34PgMVq49wb79rtNuFYkI82/AVfpJF0RzYAm1arfgFNg5Jh7WUfBP4LXNgHdRdC7L8kmO8jhx12GB9//DEffPCBzJsfLB55BMrLYdq0ARfMAwSCGjV2NXY8IxxLcm16rmLLRrzNTTB5MuakiThjBg9+U0FuOAaOXC4e/WPyU3r/83r4YfjTn+CTT2DRIkjEEsVCiOT6eP58AA6ZMCHJNRn4PvrSxSVr86m4z4YR8be93xSuZ12LyllwQMaMbrfXYlGOeOQ+Rn3wNoau89ndv2bd6d/p83p35/WnHiEaVg+6j7/oCvKHDNvNFvDl1n/REq4jx13KEUNU3cdMhL/NBSPYebpWBnA9kJwxB0KI/kqG2feRSy+9FIvFwu9//3tqamp2WVaWphsgovHs7gNssvTaTTY++MJFZUMEb3x9nOzI/nPpWLN8MR7AlpsLQGEwQnGoPRO/3bJn2Y2//W3VG3/77RLICzEQrNm4kZffeQeH3c5Zxx+f7OoMeGs326kIq4Sxnmj7FLUlDXMwMSlzjybD3vUa8Fo0ytEP3hEP5C18fP/vkhrIexsbWPjeWwCkZGZx6hXX9mi7Tzap5evOHHsdFr29IcnJhfE7rHBrBTwJqa0QYiDZf+7I9zMjR47k5ptvpra2lpNOOomNGzfuVCYYDPLII49w99137/sKisRrDeYHWGT3/lw3x11aymU/z4Flf8P62iUcUelNdrV6bO2yxVwOPJ2jbgpT42sZ14dq+Kj8DVY2LNyj/R54IKxeDeeck6iaCiGS5fOFCznx+98nFA5z65VXUjwAR1f1N2cc6+WcC9TQek+HhKrlgc0ADEkZ2+22hz7zG4Z/+j4xq5UPH36Kjd86vW8ruxvz3nmdaCQMwIxTz8bp2X3/eTDiZUvjCgCOGX4BoKZvQefEd42AAaQBvZsMJoQYDAZW1NHP/OIXvyAYDPLoo48yZswYZs2axYEHHojNZmPjxo28//771NXV8Ytf/GL3OxP93wAN5t0ukyHFEWypDVC7iqKWICNSetbrkGymabJ2xRLuBLT6eqauXseQVBXUr21ayoNLr2dcxiQOK1rco/3NmQPDhsHQoVBSMuB+1EIMeOu2bOHuxx8HIByJUF1Xx/ylS1m2Zg0Wi4Xbf/Qj7rrmmiTXcnDIz4mRmaeCeHe0PZhvjtQD4LFmdLvtwkt+hCUWZfNJZ7D1yGP7tJ67Y5omc2a/1Pb94Wf07AnvxsavMTHIcZeS7S4C4AfHQVom/O4VGDJSlbsTWA48DZyW2KoLIQYAuRXtQ7qu88gjj3DBBRfw9NNP8+mnn/Lpp59iGAaFhYWceOKJXHbZZRx33HHJrqpIhAE6zP6Ss5q55Kxm5q9vYV7Dk1RHmne/UT9RW7kdX201RwOed94heNkGnGXq51MfUtNfcl2FPdpXRQX85CdgGPDxxyqoF0LsX9Zv2cI9TzwBgMvpJCM1lbHDh3PH1VdzyVlnMaKsLMk1HFwa4wNEUzoE841hFcyn7iKYD6dnMOeXvwU9+X3Vm79ZxtY1KwEYPuFgikf2LOnx+vpFAIzLPRSAuioo3wyVWyGnQJWpAz4AosCQBNdbCDEwSDC/D0ydOpXnnnsu2dUQfW2A9sy3yrZlc2L2SawJVVGV7Mr00Jpli5mJmmfY4HLTMGosJSE1jrE+FM9a3cNgPhqFkSPVs5pJk/qmvkKIvjG0pARz9epkV0N08Pd/p7LuHBtkgKdDMN8UqQMgxZbZeQPDoHTBXLZOOwzSUvtFIA/w+esvt70+/Mxze7zdhrZgXiX5y8qDFz6BhipoHaU/GxXITwEOSlB9hRADy8CMOoRIhgHaM9/KMOH+MVlE/Tozt9fhMIzdb5Rka5Yv5tT46w0Tp6B3mHHYGsznu4p7tK/SUnjjDXA6B+zzGiGE2CdCYY0LbyqEmUAZpMTaE+A1tfXMdw7mx/3nVWY+9TAbjjmRjx75/b6sbrfCwSBfvv06AHani0NO7NlAeNM02dCgpneNz50JqKXoCkphajyBfwz4R7z8VQmssxBiYJFbUiESZf58aGiAjIxk1ySh/vRaGm98kIJ10le8dvwwIJ3Dt9Umu1o9snb5Ek6Iv1597oW0WHRigIWeD7NvXe/XYoGiogH7rEYIIfaZZq/Ot47w8VGeixB6Nz3zGW3vpVZs45DnVK6DykNmqotyP7D4w3cJeNXUs6nHn4IrJbVH21X7NuEN12PV7QzPmtT2vtUKNpXgn8+Abagl6S5IZKWFEAOKZLMXIlGmTIHJk9tb4gFi6WoHb3yQwtu15QC4QkFsprmbrZKvsa4Gs3wrk+Pf33rFRfx4QjFfpzmB9p75vF0E87EYXHEF/O1vkJsrgbwQQiRCblaMd/64nYxSFcS3zpk3TZOmyA5z5g2DIx65D1soSPnk6Xxz3iXJqHKXPnv9n22vDz+r90PsR2QdjN3iIBSEp+6GT99qz2j/93jZSwF3QmorhBiIJJgXQuzSuSe38Mw9lQw/VPU+pIciSa5Rz6xZvpgYcCPw9ujxNDvUevLtS9O1BvNF3e7jn/9UGewffRRaWvq6xkIIMbgcXe/n8Fo/GREVwQZjfiJGCIDU+Jz5IV98QuGyRUScLubc+2vQ+8eta832LayaPxeA/LJhjDp4Wo+3Xd+ggvnx8fnya5fBv/8CT96tTm8Lqmce4P8SWGchxMAjw+yFSIRQSEV8oRB897sDalL1oZOCTDsoiDf8bW4EMsP9f648qPXl64HfANFrb8FnUTeA6dEYpmnSEFJTBXKd3ffMn3QSZGaqzPXFPZtaL4QQood+uaKOek2n3q6uzyEjwNi0yXijTTh0FwAHvK5mjq84/zJaSvpPTvfP33il7fVhZ56D1ouh/8GIF4tmZVx8vnxaJpx5KWTnqBkE/wBM4HhgZEJrLYQYaAZOxCFEMvn9cNtt6vV3vpPcuvQB04Rauxpjnh6OJrk2PbNt47q218VTDiEaz3ycFjVojjQQNdUIg2xnfrf7yMqCc8+Fwp4lvBdCCNEDP7wzj7mLXFx5biPTjgm2vZ9hz+Gxqa9TH27CHw2SvXYVhcsWY1isfHPepcmr8A5M0+SLN18DQNN1Zp56dq+2v2Lqb7ly6m/J8eQCUDYSfnQXDBkCAeC1eLnrElhnIcTAJMG8EIkQ7RDgDrCJ1Zu2WaltjrJtnDqvtPD+MczetX0LFwJfpGcSy0gHwGYYOA2TivgQ+wx7NnaLfZf7cctkRSGESKgVax0sX+vAMMDookPbjOdlsYaC1I0YTePIMfjzC/ZxLbu3fd1q6iq2ATBu2mFk5PW+bmnOTOwWZ9v3Dofqla8HxgPlwEmJqa4QYgCTYF6IRGgN5nW938znS5QbfpXL7PdS4YN5MGY6qaH+3zMfCYeY2VjP08CnsQjvxYfYp7XNl1eZ7HOc3d+AzZ6t/r34YkhP79PqCiHEoPLCrypZsMlBuBQqHVbcsc7Tt2Km+r7qwEm8/uxLWD2uZFSzW0s/fb/t9cSjjuvVtqZpomla24NkbzM018PY+ELyxcCfgRzUyitCCLErAyvqECJZIvHe6gE0V75VitvEkdoEWaqLOn0/6Jmvq6pgQvz1xtwCvFZ1S7Rz8rvux88//TTceissWNCnVRVCiEFn5JAIrqNMLv1WETcdlNv2/htb/8RFnx/KK1seby/s8RB19a8hUks/+7Dt9UFHzOrVts8suIpffHwqK6vnAPDlB3D5LLjx/PYyqUBmIioqhBjwJJgXIhFae+YH2BB7gL88VMnMX50EBSoQ3h+y2ddUbufA1tdlw2hp7ZmPZ0wOx4K4LJ5u15iPRlXyu8mT4eij90GFhRBikKmL34KmdFhjvjZUQU2onFC4hXH/fhlb0A8uZ3e7SApvYwPrl6ps9AXDRpLbi6R8pmmypnY+mxqXYreq0QYN1WCzw+gD28tlJLLCQogBbeB1IwqRDK3B/ADsmQfY4i8Hfw0pAR9p+0EwX1vRHsw3jhmPz9qeyR7glLLvcUrZ9yhJK+lye6sVrr8eioogJWVf1FgIIQaHdZttfLrAxZLDHDAaPFGz7f/OLruSw3JPJvfj/zHzqYcZ985s/vWvD9Rk8n5i+ecfYxrqAcTEI47t9fa3H/0m25tXMjLrYAC++0M4+wrIyYbXUcPsu26ZhBBiZwMz8hBiXxvAwbxhGmwNlMNfj+eh8a9iT+s/SwN1x9y0niwgCkQPOhivtfOceQCLZsFmse1yP5L8TgghEuvj+S5+cHsBw38XhqPA02G+fIY9h1RLJtNn/xSAtad9t18F8tB5iP2EXg6x1zSNbHcJo7Mndkp+l5YOnky4AwgD64ARiamuEGKAG3iRhxDJMGQIfPIJ1NcnuyYJd80DHsKL/oR++MNkHpyHL9kV6oHMzesBWAtkDB3BYfU+RvjCjPGF28ro3SQqjMVgzRqYOHHA5TIUQoiky8uK8a0jfNQN1dkAuKOdk99lfP0l2RvWEnG6WH32+V3vJEli0SjL534MgCsljZGTpu7RfnZcRcXhgM2oQN4DDNurWgohBhO5VRUiETweOPJImD492TVJuHc/TYVl3yM9NBL0Xfdk9xcFleUArAAy84vIDceY2BxkuF8F83cvupKfL7iUzS3rdtp25Uo480yYNQtMc6f/FkIIsRdOP9bH23/YzuiJaspWx575VzY/w3++eYQaN2w44VTC6RlJqmXXNixbhL+5CYADZh6J1da7NvGlZffx37XP0BJSD/5nPw93XA5z/wer42XGIzfnQoiek555IcQunXTOXJ5a/iH5xQGMfjbcsTt/CvhZBMSyczk9frOlxwNz0zRZXDuHkBFEY+fz2bpVDa8/4IB+N7pTCCEGhEgEmlNVyOrp0DP/j02P4y9s4RIXbOvlEPZ94etPP2h73dss9lEjzAcbnscwY5w25ocALPwMvvoEvnU21MTLTUxUZYUQg4IE80IkQnk5vPaaGpd9/PHJrk1CjZw5Bw6tYdUZb/LbygauXLox2VXaJV9LMxv8PjYAY4ePanvfgormTUx+NukJgoaXfHfxTtuffDKccAJkyrpAQgjRJ6IxjRZrazZ7dW0OGyH8sRYAcvwwf9phSatfd5bF58trmsaEw47p1bZ1/u0YZgyHxU2upxSA834ER5+qvn4RLzcpgfUVQgx8EswLkQjr18N118GIEQMumK8NNUBmAWg6tlj/H3deGx9iD5BTUgbAS0UZ2A2TC7c1kBmF6XmzyHJl4bB0veRRejoUdr8EvRBCiD103KXFbNpmw/qlak9ae+abIw0AWAyIDj2g3w2xryvfxvZ1ajD8sAMnkZqV3avta3xbAMhLGYIWH/Z14DSYcSzk5LQPsz8oYTUWQgwGMi1HiEQYwNnsN2y1g031cKdG+v+ydJF1q7gVOBHIKSrFBD7KTuGt/DQievu4eYtu6XYfHk+fV1MIIQalTdttrN9qx2fvvM58c1jNI0+1Z/H53Y8krX7d6ZjF/qAje78kXa1fBfOFKcM7vW+1QjPQ+hh6wp5WUAgxKA28yEOIZGgN5i3dB4j7q1d/9gD8Sa3RlhaKJrk2u5e1Ygk3AQuBZ4tLCeka0XgQnxY12Oxdy9qm5UzNm8HBeTM6bfvII7BkCfzsZ3D66fu86kIIMeC99ng51bUWGhfrNGZZyAyrdqUxUgdAiiObhjHjklnFLnUK5vdgPn+tfysABfFgvq4KNq+FCZOhOUOVKQEy9rKeQojBRYJ5IRJhAAfzmi0IhQ7AQnqo//fMZ29Rc/qXATnFpXgtqvfHZhg4DJMFNR/zx9UPcFLZuTsF8198AUuXgm9/WH9PCCH2QxPHhmnxalTUWPE2aNQ4VLvZ1NYz37vh6/tCOBhk1YLPAcjIzad0zAG93kfrMPvCVBXML/wMHrkZDj0WTnhflZEh9kKI3pJgXohEGMDD7L987xNOPeAoKsgiPdz/g/mimioAlgNFJWU0xJMspUUNNKA+VA1AgWvn5Hc33QReLxzTu7xGQgghesGMryQS67BkiL7oXXBCQWMoWdXq1vqvvyISUvU68LCj2+a890Zbz3w8mLdaoWwkjBwHLYATSX4nhOi9gRd5CJEMA7hnfnLWAfidaQCk7Qc988NbmgFYbbMzNiuHrVb1M0mNz8tsDebzXEU7bTttGqSmQkHBPqqsEEIMMv98K5VgSGPSuCBGavv7we0rYQRkB/rfmqDfzJ/b9nrcHmbZr/W1DrMfBsCsM+HYs2DoUPX/VwM7t0pCCLFrEswLkQgDuGc+pGk02dR5pfX3nvlQkOFRVceKwiI0TWsbZp8WiQFQH1Kr+ea6uk5XL2vLCyFE37n4lgIiORrHz/GRZ4ly0ZZmtGgEb4sKdi3FY5Ncw52tXvBF2+sxh8zYRcmu+SPN+CKNQHswD52f/7vjX0II0RsDL/IQIhkOPxzefhsCgWTXJKFqmiOc8IgBL4LFMPDEA+L+yrLia6xAAxAZooYyetuG2bcG86pnfsdg3jRh7lzIy4MTTxyQz2WEECLpjp7mp3qIhfeGe8gLqmA+/Zsl1NnVQ3FLUf8K5oM+LxtXLAGgYNhIMnLze72P1l75NEc2LltK2/s2W3sZx17VUggxWMntqhCJUFiovjZvhlD/m++3pzbVN7JknRpSmBGK0N87rZ3LFwNqvnzrGvOtPfPpOwyz3zGYDwTg8svVa69XgnkhhOgL/3t+O7MND9+muG2N+eyv5lAb75ZOdfavBHhrFy/AiKmHwWOn9r5XHtrny+fHe+VjMbjuDMgrgl+9AjkZYE9IbYUQg42sMy9EIplmsmuQUB6XybgJfyPvkY/5zuptya7Obn2UX8QE4AYgpygezMfnzGdEYgRjAfxRLwB5zs7BfCQCY8fCsGHgcu3LWgshxODSpMfXmI/Fg/mFc6jxqP/rb9nsVy1ony8/dtrMPdpHayb71iH29dWwfiXM/xheSoODgQf3tqJCiEFJ+p6ESIRvvlHrmrlcMGVKsmuTMOPz81h5Sx5fb63n64o6Inr/fv5XWVPF8vjr6fGe+dRojKJAhNxwtK1X3mFxkWJL67Rtejq88YYaZt/PT1MIIfZrjfERU56oicXvJX3FYkYcAM1lQ0hz5ia5dp11DObH7GHPfLa7mIkFx3FArhrplpoBv/wzGGH4VIcwkJOAugohBh8J5oVIhI8/hquvhm99a0AF861ipoG5Hwzkqa3c3vY6p7gUgDOqmjm7opmCcJTl8WA+x1nQ7dJCkgBPCCH6Rm29zpEXltJwhQVuBU/UwNbcSO2hx/D3xdW8d9ccGoMNya5mG19zI1tWrQCgZPQ4UjOz9mg/U4tPYXrJ6RSmqnz1ThdMOUKtnPKHeBlZY14IsSckmBciEQbo0nTeQITGJgcNTRqmp39HuTa/j+sXfsE04LdAbjyYB7Cgpj+0ZbJ3dr/2nPTKCyFE3wiEdL5Z78BiqGuyJ2YQLChh8QPPQV4ehhFMcg07W7NwPqahpgLs6Xz5VhZ95/uDsBW2xF9P2Ku9CyEGK7ltFSIRBujSdD95+x1KbxnJScsOZHl22u43SKKMzRv4TkM9NwKejEycnvaMwXo8lUF9sOvkdwBLlsBFF8Ett+yDygohxCCUmxXjo79s5YRTfAC44wnwsFjA7sDASGLtdra64xD7Q/ZsvrxpmrSE6tFpD+ZXfAWL5sCSFvV9AdC/JhcIIfYXEswLkQgDtGe+IRiA42NE7k5lYX5msquzS2nrVwPxTPbFar68CfgsWltiwtY583muop22r6qC+fPh66/3SXWFEGLQcTpMjp4ewFOorskpURNbUwMrvYu58NVSfj3nwiTXsLNVX6n15TVdZ8yU6Xu0j6ZQNde/M4kfvjmKmKGy4r/4BPzsYnjrG1XmwITUVggxGA2sbkQhkmWABvP2ofNgxP3AHVj6eaZ+92o1r3EF7fPlQ7rGjw8sQTdN/vXVZsDEbU0lv4tgfuJEePRRGDlyH1ZaCCEGoWar6ktK83qZddpEqg9Jo/aUZrK6uDYnS0t9HdvWqGi7bOwBuNPS92g/9f5yANzWtLah9vnFMGQU+IaqMhP3urZCiMFKgnkhEmGABvN14UawqNVvW+c49leeLZsAWEN7MO+LZ0y2mCYOw+TyMbdw5bifU5xWvNP2BQVw8skwdOg+qrAQQgwy9Y06n37lwjrDZJw1RMnmTQAcXZ3Kb09+n4ZA/0l+t3rhl22vx+7hEHuA4VkH89Rpa7Dr7W3odb8Ejweuz1PfT9rjvQshBjsJ5oVIhIEazIca24P5ft4zn1FdAcA6oCg+zL4l3vuTGjVoTd9n0S3oWvczjCQBnhBC9I1v1ts56/+KGVYS5vXny7F8OgcAS9kBjMk5hMqWCqJmNMm1VFbN77C+/F4E8wB2i5OClM6JV21W2BB/PX6v9i6EGMwkmBciEc49Fw46aMAF89vXlUHhsXAoWPtxz7wWi5HXpHp01gEHxXvmvVb180iLtidVsmhd/4y2bIH6enC7oaSkb+srhBCDkdtlMuPgANkZMWIapG9aC4BvlApnY2YsmdXrpHW+vG6xMOrgQ/ZqXxoaVt3W6b2gDerjr2V2lxBiT0kflBCJMH48nH22+ncAaSgvgka1+m1/7pl319VgMwzCwFbaE+C1DrNPi8SIGhH+b+5p3DLvQvxR3077+Otf1TOZp57ahxUXQohB5ODxIeb+cytP312NCXg2rQHg5eE+Xln+MNuaVyW3gnGNNVVUblwHwLADJnVaHaW3Xlp2Ly8svolNDcsB+PIDuOpb8Md74AXgSaB/rxUjhOjP+kUw/+STTzJ06FCcTifTp09n/vz5uyz/2GOPMWbMGFwuF6WlpVx//fUEg/1rbVIh9nfBWIhwzldQsgQAq9G/lgzqyJdXwIEjRjMJMHWd7EKVRKl1mH1aNEZDqIb1zSuYX/MxTotrp32kpqoe+by8fVhxIYQYZEygxqoT0DVS4j3zrzgW89yim9nSuDy5lYtb/VX7fPkxh+zd+vILy9/hs83/xB9pBmD7Rti0Buq2wgzgkr3auxBisEv6MPuXXnqJG264gWeeeYbp06fz2GOPceKJJ7J69WryurirfvHFF7n11lt5/vnnmTlzJmvWrOHSSy9F0zQeeeSRJJyBEMBXX8G6dSoiHDUq2bVJiLpQIxR+jVbyDSaT+vUwe4DNtdV4gay8Aqw2Nc/fG++ZT48aeGxp3DX597htri7nzF93HVx/PYwYsS9rLYQQg0ujrjN55lAAQk1qoHmDRXXIpDqyk1WtTtYsmtf2eszUQ/d4P1EjTENA5XMpSB0OwNGnw5DRMGqMKmPrbmMhhOiBpPfMP/LII/zgBz/gsssuY/z48TzzzDO43W6ef/75LsvPnTuXww47jAsuuIChQ4dywgkncP755++2N1+IPvX883D++fDf/ya7JglTF1Jz0G02D9C/h9mHQ0G8TY0AZBW0L23UOmc+IxLDbU1hRt5xHF9yVrf7keR3QgjRd975xM3R16qcJs5ojIrTv0flCWfRGFFBfYojK5nVa7Mmnslet1gYMXHKHu+nzl+OiYHd4iLTmQ9Adh5MPwYmxZ8RSDAvhNgbSb11DYfDLFy4kOOOO67tPV3XOe644/jiiy+63GbmzJksXLiwLXjfsGEDb7/9NieffHK3xwmFQjQ3N3f6EiKhBmA2+9pQA0Sc2GI27LEYtn48zP6A55/gSdTyPpn5hW3veztks2+lteW135kE80L0LWmPB7fqeitLKx0ApMRMVv34XpY8+neaQjUApNqT3zPfXF9LxQY1X37o+INwuj17vK9a/xYA8jxlaFp722O1wqPAb2jPaC+EEHsiqbeutbW1xGIx8vPzO72fn59PZWVll9tccMEF3HvvvRx++OHYbDZGjBjB0Ucfzc9+9rNuj/PAAw+Qnp7e9lVaWprQ8xBiIAbzdeFGmPtTfAeexKyTqzl8e12yq9StUfPmcDWQD2Tld+iZbxtmH6Pcv5kPyl9nSV3XDwrvugt+8ANYsqTv6yvEYCXt8eB27Aw/99+rAveU+ENWvxYgakTUe/bk98yvXbyg7fWoydP2al+1/q0AFKQMb3vvvddgyVx4zYTf057RXggh9sR+1w/18ccfc//99/PUU0+xaNEi/vWvf/HWW29x3333dbvNbbfdRlNTU9vX1q1b92GNxaDQGsxbk56GImFqQw0QU3PPrdb+O8Qe0ySrtgpQy9JlFrT3zJ9a1cwVm+sY5w2xtP5LHl56A39a/ZsudzNvHrz3HkhHoRB9R9rjwa2kIMrYKSpwT/P5sQT9NIVVOOuwuHFYd05Ouq+t6Zj8bsqez5cHqPGpnvnC+Hx5bzP85ia4/hKoiXfUy7J0Qoi9kdTIIycnB4vFQlVVVaf3q6qqKCgo6HKbO+64g4suuogrrrgCgAkTJuDz+bjyyiv5+c9/jt7FOFmHw4HD4Uj8CQjRagD2zJ9SdDSz7/gGb+hx3L7JNNA//4bc9bU4olGiwGbghA7D7Mf6QrhiJtmRGMGoX5W3dr3E0I03gs8HY8bsg0oLMUhJeywa4/dpRV9/xXEnHM8f//pHoD8lv1PTODVNY+SkqXu1r7ae+XgwH/TDlCOhqST+8Dn+JYQQeyqpPfN2u50pU6bwwQcftL1nGAYffPABM2Z0vRSI3+/fKWC3xAMosx8n6BID3ADsmS/zFHFm2bFMLxiDtR9n6EkrVzdLm4EonYfZA20z5AMxFcyn2Lpe0fe44+Cii2CHWT9CCCESZP0WG/M2OwHIrKkGoDLHDUBaPwjmfc2NbFuzEoCS0eNxp6Xv1f5qfap9KowPs88pgF++AD98Tv2/LJ4ihNhbSY88brjhBi655BKmTp3KtGnTeOyxx/D5fFx22WUAXHzxxRQXF/PAAw8AcNppp/HII49w8MEHM336dNatW8cdd9zBaaed1hbUC7HPDcCeeQDDNLh85GTWjk3hkuWbGN3oTXaVdpJavg1QvRwAmfmdR/Xo8Yd8gagPAE83PfMgCfCEEKIvvfhmKs9mZcB0yGhsJJhbQL0eAPrHfPl1S75q6xgaM2X6Xu+vfc78sE7vl8fvvmWIvRBibyU9mD/33HOpqanhzjvvpLKykkmTJvHuu++2JcXbsmVLp57422+/HU3TuP3229m+fTu5ubmcdtpp/PKXv0zWKQgBP/4xnHIKFBcnuyYJ8+9tH/Due0Us/b+hNJc4MfTus8AnU2vP/DrAYrWRlp0LQItF5/3cFAqCUb5b2UwgpoJ5ty11p33EYrBiBRQWQk6OBPVCCNEXcrNiZA+LUoeVjMZGfCPG9atM9mu+al9fftReBvPBiBdvPB9A/g7B/Lb4c/9Re3UEIYToB8E8wDXXXMM111zT5f99/PHHnb63Wq3cdddd3HXXXfugZkL00FFHwYwZsGlTsmuSML9c+Qzz3/4pXK6GRFqM/jmNxd2gsuyvAzLzCtoe/tXZLbyVn05WOB7M72LOfFMTfPe76nXrIAshhBCJddX5TXyR7+QvpJPR2Ih31HiagiqY99gzkls5YM2i9mB+9MF7m8lejRpLsWfisavpXb+5CdYuB/tnQK4E80KIvSf9T0IkygDL2XBo9kTGTVmLKz0MgLWfrjP//tU3kw48R+ch9l6r6vpIiy9/FIz3zHu66JmPRNSgiqKiATdTQggh+pXrGht57vZ7OeWtt/COmUBTqBaAFEdyh9kH/T42f7MMgKLho0jN2ruRAk0hlRMg29Wex2XTGti0GmriS9fLMHshxN7qFz3zQuz3Pv8cqqshNxfy8pJdm4T47ZTbaTnIy4gMgwBg7acPKxpqq2hdTW5ch+R3vvga86nRGNCeAK+rOfP5+fDhh5L8Tggh+trkYIgJf/w99qrtzBs5ngzLekrSxpDpKtz9xn1o/ZKFGDHVXozeyyXpANIcuRwz7BIKU4a0vXfrY1BdB7epnH8SzAsh9poE80Ikwm23wWefwe9+ByeemOzaJEzMNIhoKijur8PsG2ral7bs2DMfis/xd8VUz3xrArzulqYDmSsvhBB96cHfZ/LuZx7OnvBbzjjsTXyjD+CKjCO4ZNIvqPJV7X4HfajTEPsEJL8rTR/H9ybeR0FKe7tUPAzyJ8HRQCOQs9dHEUIMdhLMC5EIAyybvWHGA+BwezBv7YfBfNb61Vzy7KOkAPcAWQXtPfNRTQXztni12xLgSTAvhBBJsXK9nY/nu5n0g2NYec0JkKqmPbW2Ocm0ZuGXba9HT967+fId6Vrn+4JcHZ4FimhfOlUIIfaU3LoKkQgDbJ351c0bsb10AMO/Y+KLqnOy9MNh9lkb1zNh0zqObP2+wzD7SLxn3h5/CBGMJ8Dras78woVw9dUQXwFTCCFEH7jme418+/MWqq600OKwtb0fM2NJrBWEg0E2Lv8agLzSoWTkFexmi91rDFTiDTW0fV+9Hf73CiyLDwCwdbOdEEL0hgTzQiTCAOuZrw01YJgGRswGdvVef0yAl1rR/Rrz0XiXhy0ezO+qZ37bNvjgA/jyy53+SwghRIJMPSjEm4d6+MfUdMJmFMM0uPi1IVz/zqF4w41Jq9eGZYuJRlSy19FT936+PMCfFt/ET96ZyPvr/wLAqq/hkVvgiXvU/9sTchQhxGAnwbwQiTDAeubr4jdVY6/9UdtVoj/2zHdcYx4gs8Mw+4jWuWde03R09C6D+YkT4d574Uc/6tv6CiHEYBbSNCLx+UwjX/8HvnAj1b4tbG5cjtPqTlq9+mKIfSQWBCDTpTKrpqTClCNhyBlqvrwQQiTCwIg8hEi2AdYzXxcfGpidauOyrRupCTtwxPpfz3xah555i9VGamb7UkLR1mH28YcQ/zhmHmn2NLLcOy9/NHSo+ho+vK9rLIQQg9cX6x1ti6ubxcNw2VL53ckLqPJuxaonr696zcL25HdjEpDJHuDmI17BplvIducCMPkI9XXFUJgOfAYcnpAjCSEGMwnmhUiEARbM18aD+Uyrh+s2rWdto4dme/+b4dexZz4zvwC9QwY7q2GSEo3h7vAQQtc1NK37lEOSAE8IIfrOrX/IhW+Bq9lPpKAYq25jdM5UcjzD8Ud8SalTJBxi/dKFAOQUlZJdVJKwfdstTqx6e9sZ1aA83gTJsnRCiESQYF6IRLjnHqishLKyZNckIepCjQBsff97/H7uMCYe2YB17/MBJZS9pRlncxMA64GSDkPsAc6sauasymaKQ9G29zSt62i9ogL8fsjJgaydO+6FEEIkQFZRBHDhbvYRymu/ZptJzGa/cfkSIqEQkJgl6Tqy7NDm1DrAADxAfkKPJIQYrKQfSohEOP98uOIKyM1Ndk0SonXO/Mp3T+fp50fQ1NT/UvW4Gurwe1KoAPxAZl7hTmVa++CrA9v52YJLuHfh1V3u6+mn4eST4ckn+6y6Qggx6N1y6VoA8lpqiaamsbZuEa8sf5jFFe8nrU4dh9iPTtAQ+2rfJh75/Hs8t+imtvd+eg7cfJd6PRxZlk4IkRgSzAshdtI6zH7itxZy6L21bBvrTHKNdtZUNow7fv6r1umXZBbsHMy3lQ3Xs6juM76q+bTL/7fbISMD0tMTX08hhBBKk9cLQEogCJrGsqpPeG7RzXy2+Z9Jq9Pqr75oez3mkMQE8/X+clbWfMbyqk/a3tu8FqrjTakMsRdCJIoMsxciET7+GLxeKCkBd/Iy8iZK6zD7WT9Yxi9mHcuycAa//WhJUuvUlfraKlpnWWbl7xzMtz6tzHMVc+OE35DpzOxyP7ffrmZKDBvWN/UUQggBzYEAACnhiPo+VAeAx971tbmvRSNh1n+t5stnFRSRU1SakP02h2oByHC1D6b/9Uvw9xEq8d2obrYTQojekmBeiEQ46yxobIS334YRI5Jdm73WOsze7VBd1ZYkzmfclYba6rbXmfmd58w/PSSbtR4H12yq5ch6OK74LApSup/4v4u8eEIIIRLgybXT4VsQcqvrdUtrMG9LzrCoTSuWEg6qJeTGTD10lwlSe6MtmHe2B/NDR0M0nltPgnkhRKJIMC9EIgywdeZbh9m77GmAygzf3xz14O2MX76ELcBiIGuHYfY+i06zzYLRYWai3k0CPJBM9kII0ddWb02DcrCkFgPtPfMp9uRkHl39VYf15RM0Xx7ag/ksV+cHyNvjC97IMHshRKLI7asQiTCAgnnDNKgPN0HUzg0/PgsAS6z/BfPFi+Yzo6aq7fvMHYbZR+LrzNtMk3L/Zr6s/oA1jcu73NcvfgE33ABr1vRdfYUQYrD7Q0kVTzxbzXUN6vrc0hbMJ2eY/ZqF7cH8mKmJD+Zbh9lvWQdvvQ7b4/+//4/fE0L0FxLMC5EIAyiYb4q0YJgGxOyYVnWJsJj9K5i3tzTjalKjB9YAVpud1MzsTmUi8eGSdsNkXvUH3L3oBzy/+uEu9/fBB/Daa9DU1KfVFkKIQe07+Z9xybh5ZDhUtpOmeNCbjDnz0UiEdUu+AiAzr4DckiEJ23dzsEbtNz7MftEcePwdiOkwFEjcSvZCiMFu/488hEg202wP5i2W5NYlAVwWJ/8+8mk2tVQSO2sJ1zMJWz8L5tO3bQZgu6bhM01y8wt2musY1dp75gMxPwAea1qX+7vmGggEYEji7uWEEELs6Gc/I2XDBtL/9gH1M2d16JnP2OdV2fzNMkIB1TaMnjojYfPlAVrC6rxag/nsPJgahoOfgguulmXphBCJI8G8EHvL6JAcbgAE806Lg9OKZ1EZqOFNVwwAaz9LgJe+fQsAq+MPGXZMfgcQiY87shsmgahaDsljS+lyf2efrZaly8vrg8oKIYQAYGFlMTY8+LLVNTuZ2ew7LUk3ZXpC990c7DzM/oiT4chTYPxQ6ZUXQiSWDLMXYm+19srDgBhm3ypmGm3zzi39LAFea8/86vj3Oya/gw4980aHnnlbarf7lAR4QgjRd0yfn6mzP2Vi3VLeLSojGPUTjqlM8smYM79m4by216MTOF/eNE2aQ52H2YN61t/12DAhhNhzAyfyECJZdB0eeQSam8HhSHZt9trKpnUsql+BHsjlnboTYGT/y2afvk31zLfmq9sx+R10ToAXjKpg3m3duWc+GoUtW6CkBHJz+6a+Qggx2EUra7HlhYlk2bE2umjxbwPAollxdnFt7kuxaJS1ixcAkJ6bR37ZsITtOxj1EjFCAGQ41XCv7VYYYYV9e5ZCiMFA+qKE2Fs2G1x/vZp4bbcnuzZ77Z3yT7noy5v5w9ef8Z8P1VDI/pYAL2az4rc72nvmuxhmH+2QAM8fiw+zt+7cM19dDSedBFOm9Fl1hRBi0LM1VDMkTY2qynJqnZalS+R89Z7Y/M1yQn6VhG/MlMStLw/tUwccVg9Om4cqK3y/FE5ognWbE3YYIYQAJJgXInH6WcC7p4rd+RybP4OxuTmcHtrOSZdXcOXSDcmuVief3PILzj//Mt6Nf5+ZX7BTmY4J8HbVMx8KQVqamjMvhBCij1RX05ymBpq7jQ5rzDuSMcS+b5akA9qG2Lf2yr8fH7AX3g453c/0EkKIPSLD7IXYW+EwfPUVeL0wdGiya7PXzhtyCueWnczalk0wbTnVtXbWhzxE+9mk8vq6Glofn2QV7Nwzf2pVExqQEjU6zJnfOZgfNgwWLID8/J3+SwghRKJ0DOZNaEKjNH0sue59v4zIqgXtye9GT0lsMJ9qz2LW8EvJcamHzJ/GHxT/XyZk7vvnFkKIAU6CeSH2Vm0tHHaYSn63YkWya5MQRofs9abZPxfRaaipbnvdVTb7U6tbSI0auDpks++qZ77VAFiIQAgh+q1tY48g6HIBqmd+UuEs/nDGN1R5q4gY4X1Wj2gkwtrF8wFIz8mlYOiIhO6/IHUEFxx0L/mefDbYYLMDbCbcPBL28WwCIcQgIMG8EHurNZv9AMpkb9BhKToTTL3/3IGMeetfHDj7Rap9Xn4G2BwOUjK67u5orXX7OvOSzV4IIZKhomx822t3xyZmHy99unnl0rb58mMPOazP5uvrms5H8efHR/ogZ+DcIggh+hG5fRVib0Ui6t8B0rV73IeXkj97Jo+/XcNBTx7HqRkzea+s/yzAnrl5AxnbNmP3tqjv8wq7vRnT4uPw2+bMdzHM/quv4NZb4Zln+qa+QgghwJ6lLsi2CHRsLWNmbJ/W45v5c9tej502M+H7bwxW0RyqxUDj43iTk/dfWL484YcSQggJ5oXYawOsZ74+3ERDuJloyEGo1ELzTDvlKa5kV6tN6xrzKyNqWGZXy9IFdY15GW4WZKh6B2KqF6arYfYbNsDs2fDRR31VYyGEEOampQCk6yqof3bB9Vz174P4ctvr+7Qeq7/qEMwfMiPh+3/x6zu54Z3J/LXiZWqsYAvAP74Hf/tbwg8lhBAyzF6IvdYazA+QnvmWiAp8D5leTtPoLfyDsn61NF1rMN+6LF12UclOZRqtFv4wJBt31OComibC8TV/uwrmDzoIbrwRJk/usyoLIcSg1/zUU3D66aSEwoCDbc1r2NS4jHA0sM/qEAkFWbfkKwCyC0vIKS5L/DHi7Q2pqm3KboJR0+DggxN+KCGEkGBeiL02wHrmW6IqmM9JsePOUMMfLUb/COYtoSApNZUArIm/l1c6dKdykfgcf7tpYtGtvH3iOhxWGxn2rJ3Kjh2rvkYkNgeSEEKIVn4/eSs3ctOND+G78jqwwZVTf8NpY/4Ppy1nn1Vj/dLFREIq2B47bWafzJf/8YwXsOoWFuer6WnDU+HPf1YrpwghRKLJMHsh9tYA7Zn3WF1ta7Vb+0nPfFr5NjTTxGt3UBN/L69s52WN2uodfwihazqp9vRd3rhJAjwhhOgjNTWUby3m4d/czLunq4XXS9PHMrFgFlmunadK9ZVVC/p2vnwrm+7AG3/AnxMdMM/6hRD9kFxehNhbhYVw330Q27dJfPpCzIjhj6khj9s3FLLCmgb5/adnPn37FgC2uD0QVr0reSU7B/OReGBu71Dv7gL5+nr1oysrA6czwRUWQggB1Wop0Uy9kZS0jLa393Xyu9Udg/mpfRfMW3UL32mCk5uhKAoWd58dSggxyElflBB7q6gIbr8dfvCDZNdkr7UOsQdY/nUxX61Qw9Ktxr5dOqg7pq5TO2IMSzt0c+SWdt8zbzNNtvs2cv+Sa3l8+Z1d7vNXv4LDD4cnnuibOgshxKBXXc0sPqJ+5mk8+bp6cPzK8of437o/Ed1Ha8yHAn42LFsMQP6Q4WTmFyT8GI2BSn7z+fk8s+BaNMARhBOnwDHHgNeb8MMJIYT0zAuRMP1kKPreaB1ib9OsDC8NUTQkQDmufjPMfvPMo9l82NHcfMkZAKRkZOLp0MvTKhIP5u2GSW2wkk8r32Kbb2yX+4zF1BD7lJ1z4wkhhEiE6mq+OPRQVp9/PjErpIYbeG7RLQA8c/r6fVKFtYsXEItPi+urIfYNwSq+qfmcau8m9X0VNDdDKAQeT58cUggxyEkwL8TeamlR65u1tEBe/1mPfU+09synWN3MOrKW/wxrpBxXvxlmDxCORqivLAcgt4sh9gBRvb1nvsg9hB+Nu4sCT1GXZX/zG/jd79QweyGEEH2gupp/nH8+j199NRe2wFGhOgBctlSsum2fVGHV/M/bXo+dmvgl6QCaQyqbS4ZL3QsUFMDbb6sHxn2Qa08IISSYF2KvffEFnHgiHHAA/Otfya7NXmlPfqcm+EXiWeH6zdJ0hkFtTVXbt11lsof2nnmbYZLrKuKMIZdQlNp1MA8qd+EAyV8ohBD9z/HHs6ZIrf+5/kuYnKaC+ZQuVhjpK6sWfNH2ekwfrC8P0BysBSDTmc9PC8FiwiM2mJH4Ef1CCAFIMC/E3htA2eybI2pSn8fqAuAAXxP1QRu5gVAyqwWAo7mR8753ClXZOdwLRIG8LubLQ+ee+VYaksleCCGSYvJkqkx1va76BponqWA+1Z65Tw7vb25i8zfLACgeNZa0rL5ZDq8lrIL5dGc+ixxgaGBnQNweCCH6KbmFFWJvDaB15luH2afaPDz69Ej+dnAZE25p4sDa5iTXDNK3bcEaCePweol/4l0mv4POc+Yr/VtZXj+fcv/mLss+9BDceSds3doXtRZCCAHgiMfPkw6E5vgwe88+CubXLJqHGU/kOu6Qvsti39oz70kfhhF/fvzhS7B6dZ8dUggxyEkwL8TeGkA9863D7N0WF01NNmpqnQTD/eMykb5NBeOb3O1r/HQ3zP6Iei+PLd/OdRtq+aB8NjfOP4/nVv26y7KzZ8Of/gRNTQmvshBCCICPPsKwqGVPJ0+AltZg3paxTw7feYh9HwbzIRXMO9KHAmBrgbt/Bm+91WeHFEIMcvt/V6IQyTaAgvnDc6fwwvRfYZoGI76/ge+euY2mkJVYP3jul/b/7N1ndFTV14DxZ2aSSe89JBBC7yAIIhYUFEFRFBuoCGIFVEQQsICI7QULIIiKIFj+YgHFCiqIld6RAAkQUkjvfer74U4mCeltJoH9WyuL5M6Ze3eiycy+Z599LHvMR5frIhTYNqLKsQ5mcDea8DCaKDIWAuDmUHW7+oceUjoNB8uaRiGEaHoFBfDoo+RefTV4e+NiKj8z722TEKIsze9UajVd+g9qtuuUJvMO7m0AcC+GPkOhZ89mu6QQ4iInybwQjXUBldl38GhLB4+2nM6Px2AqoSRYRXqqFoNahdbOHe1LZ+aPlBQD4OTqhoePX43PUQFFBksfAEePKsc88AD4+IB/8yyhFEKIi1ua0uE9x0spqVfl2jaZz81MJzH6OADtuvbE1dOr+a5lSebNbko3+0g3WLdOdksRQjQf+0+3CdHaXUAz86VMZmVt4eOd+/HwiAFE+1SdCNuSl2Vm/lCuUg8fGB6Bqpa9flRgnZl3rWZmHqQBnhBCNJvUVAAyPJTO9T99UFZm726DNfPHd/9r/bzroCHNeq2yZF65O+xrvCDu8wshWjD5EyNEY/XoAXPmKNO7rdy+zKMkF6XjonEi9nAPMttqwQ277zOv1uutM/P/WZoYBYZXP9Xxq787+71cuTE1l2KDpcy+ipl5gwGys8HFBfxqnuQXQgjREKmpGNVq9O7KfvLORki1YQO88vvLdxvYfMm80WSgQJcFgM5Zmf33l2ReCNHMZD5KiMbq3x9eew3uvNPekTTashOfcNOfj7A56S8+Xt+O1BxnwP77zDsWFhA75FrOhkdQ2pM+oJrmdwApTo5EuzuRpnWgyGhp6lfFzHxcHAwZAr16NUPQQgghIC2NPI+ym6kPP15WZm+LmfnS9fIOjlo69r202a6Tr8vEjBmVSk2RVtnedcMKuO66ZrukEEI0LpkvKbH/3tNCtBh2TnibQju3UPr79CDEJYBe3XNw8jAC4GCZDbeXEi9vts99hefGTbQeq66TPYDe8pdNazJTZKg+mS9Wlt/jXn0FvhBCiMZITcU7JwfjzJlEm5V91/NstGY+PTGetARliVaHPv1xcnFptmuVlth7av3IdVBehHTxkGv/nV2FEBewehX//Pzzz6xfv56//vqL+Ph4TCYTbm5u9OvXj+uvv55JkyYRGhraXLEK0TJlZUFGBmRmgre3vaNplJd6P8nzPR4jtiARHj7Fet9wStDg0EJuVKQmlm0GH1jNHvMABstaekezucZu9t27Q1QU+Po2caBCCCEUljXz6tBQ3CwvJd4uQRhMejy0zfvHN6p8iX0zr5d3dnBnWOQk3LWetCsCLwOMeAD63N2slxVCXOTqlMx/8803zJ49m7y8PEaNGsXs2bMJDQ3FxcWFzMxMjh49ym+//cbChQuZOHEiCxcuJCAgoLljF6JlWLMGZs6EMWPg//7P3tE0momyxF1vSYrtvWbeLS2ZgsBg0ixN8KCWmXlL3OVn5qvrZq9Wy8y8EEI0mzvugL59WZ0zlu1ToOeVsOKm/eSV5JFTkt2sl47aZZv18gABbm0Z13sBAa6BOOWBixmCvaHjgGa9rBDiIlenZH7RokW8/fbbjBw5EnUVbZ/vtKwVTkxM5J133uHTTz/lqaeeatpIhWipLrBu9qWd7AH0KuX33Z5r5lVGI2MfvAOzWs37/sp2Pw5aJ7wDq98Y3qAum5kvrkM3+1qa4gshhGioyy6Da6/l15lhfPEFPBoEfS8Hs9nYrJc1m80c36N0snd2cyeiR59mvV4pteX1R2MGR0fZLUUI0bzq9Cdmx44d3HjjjVUm8uW1adOG119/vd6J/IoVK4iIiMDZ2ZlBgwaxe/fuGsdnZ2czdepUQkJCcHJyonPnzvz000/1uqYQTeYCSub7/HwzPX66kZi8s0ya2p9Cg/I9OdhxZt7zXDyOJcWozGYOJZ8DICAsvMa/R1XNzFeVzO/dC6+8Ap9/3gyBCyGEAOAHV1f+fR9674KufZVjRnPz9mI5d+okuRnKHved+w9C08xt5fNKMskpTsNsMmE2w/uLYdOmst4sQgjRHOp9v7C4hr9KSUlJ9Q7giy++YMaMGcyfP5/9+/fTp08fRowYQapljdX5dDod1113HbGxsXz99decOHGCVatW0aZNm3pfW4gmcQEl87EFicQWJKJRaUhIcgGtkhTbswGeX8wJANLaRaLT64CaS+yhbM28yqhHb1aeU1Uy/99/8PHHsGVLEwYshBBCodfD9u0kJSYS7wX+A8AQ8jePfteL9/ZMa9ZLR+362/p5c5fYA3x/fAlPb+7Px1Fv8EsxfLIHZs2SmXkhRPOq95+YSy65hIMHD1Y6vmHDBnr37l3vAN566y0eeughJk2aRPfu3XnvvfdwdXVlzZo1VY5fs2YNmZmZfPvttwwZMoSIiAiuvvpq+vSxTfmUEJVcIMm82Wwmv3RPdgcXlvzfIetfCHuW2fvFHAcgNrisuWZtybzeUuaIoWzHjaqS+Z494dFH4eabGx+nEEKI82RlwSOPkLtuHQCuZsgoTCQ2+yjJ+bHNeumKze+uaNZrAehNxahQofeN5O3u4PoL3H03aLXNfmkhxEWs3jVHQ4cO5bLLLmPBggXMnj2bgoICpk6dypdffskrr7xSr3PpdDr27dvH3LlzrcfUajXDhw9nx44dVT7nu+++Y/DgwUydOpVNmzYREBDA+PHjmT17NppqkqmSkpIK2+jlyj4hoimVJvPNXMLX3AqNRdb18m4Orvh3ymPF4f0kFLrgbLDjzPwpZWb+uKen9VhAWPWd7AH0llzeU+XC18MO4uTggFZT+R1V//7KR6dOTRevEKJ68np8kcnJASA3UOl34lgCPfyu4dXhv5CvK2y2yxoNBk7u2wWAh48foR06N9u1St3fbxGT+r1BbGAQm4AIN/jww2a/rBDiIlfv7OPdd9/lxhtv5MEHH+SHH34gKSkJd3d3du/eTc+ePet1rvT0dIxGI0FBQRWOBwUFcfz48Sqfc/r0abZt28Y999zDTz/9RExMDFOmTEGv1zN//vwqn/Paa6+xYMGCesUmRJ2VJvOtvJYuV58PgAoVrhpnVMBlmZmcynMjV+ton6DMZvxOnQTggKrs5xvYNqLGp/XKKyasWI+fwYi7oyf+rv41jpcGeELYhrweX2RKk3l/5W/wN0uhl28gl19/Hcl5SRjMhma5bOyxwxTl5wHQdeDltfZ8aioOGgfyLDf2/YygdbXJZYUQF7EGTSWOHDmS2267jZUrV+Lg4MD3339f70S+oUwmE4GBgXzwwQdoNBr69+9PYmIiixcvrjaZnzt3LjNmzLB+nZubS3h4uE3iFReBIUOgpAS6drV3JI2Sp1caxbk7uKJSqfhhSzA6nZrQnoVgpzJBt7QUnPNyMGkc2JtfNoNX28z87Uk5uBjN+OmVbsmqarL1/Hyl27DZLAm9ELYgr8cXmdJk3s9P+ToXNMokPcZm7GZvyy3pylOr1GRZikQDTPK6IoRofvVO5k+dOsX48eNJTk5my5Yt/PHHH9x88808+eSTvPLKKzg61n0Gz9/fH41GQ0pKSoXjKSkpBAdXve1USEgIjo6OFUrqu3XrRnJyMjqdDm0Vi5OcnJxwcnKqc1xC1MuYMXDLLRAdbe9IGiXPUJbMA8ye3wuDUc2KNftx8rRPmb1J48CBcQ/gpC/h3NFDAKg1GvxC6tbwMjbvJJvOrqOzdw+m9Hqu0uPPPqs0v1u+HKZObdLQhRBVkNfji0xpMu/jA8Az88G08wd+OplIoHtXgt0jm+Wyxyusl7dNMv/urkdw1GjxvvkzwI0fPoSkuyEkxCaXF0JcpOpdd9S3b1/at2/PoUOHuO6663j55Zf5/fff2bhxIwMHDqzXubRaLf3792fr1q3WYyaTia1btzJ48OAqnzNkyBBiYmIwleuuffLkSUJCQqpM5IUQdVN+Zt5shn7XZhHwaTE/Dax+P/fmVuTnz/77H+PfZ14iNT4WAL/QMBzqcNNQBSQVxfFzwudsO7epyjEFyreMe/Vb0AshhGio0mTeywsADxX8FPMuy3Y+SkzG3ma5pK64mJhD+wDwDw2vtZKrKZjMJg4kbWZXwiZS9ZbJphQ4bxWpEEI0uXon8++++y7r16/H29vbeuzyyy/nwIEDXHLJJfUOYMaMGaxatYp169YRFRXFY489RkFBAZMmTQJgwoQJFRrkPfbYY2RmZvLkk09y8uRJfvzxR1599VWmyrSasJfMTDh3Dgqbr5mPLZTOzLs5uKJSwUtvHiPtHme2dwq0b2BqFXn5ORQXKGv6A+vwxuysiyMJTg4Eu0UyodMMbm0/scpxq1Yp29PddVdTBiyEEAIoS+YtDUzdzJBTnA6Au9a7WS556vA+DDqlyWLXgZc3yzXOV6TPxYyy64vJW5lYmj+l1bfSEUK0AvUus7/vvvuqPO7h4cHq1avrHcBdd91FWloa8+bNIzk5mb59+7J582ZrU7y4uLgKjUvCw8PZsmULTz31FL1796ZNmzY8+eSTzJ49u97XFqJJPP00rF0LM2fCQw/ZO5oGK22A5+bgAoDe8nunMduvk33o/l1kde5GTH6O9Vht29KZgYWdlWqCz4v1jHebRhvPqsvy1WpwcwNn56aKWAghhNU114CPj7Wb/U+rIDvNATTgpvVplkse3/2v9fOul9ommS/QZwPg5OBGjoPy2tk3tIYnCCFEE2kRe2lNmzaNadOmVfnY9u3bKx0bPHgwO3fubOaohKijC2RrutIy+9Jk3mDp3ONgss8e887ZmYx8dhpmlYpfnyi7WVfbFkOGcg2HtGYldrWq+ukRmTkRQohm0qcPXHIJd7u58eqn8NsScLkR8AP35krm95RP5qtestnUCnXKDWcPrQ/Zlir70Nb9lkAI0UrI21ghGqs0mS/XlLE1Kl9mn56h5fHn+wL2S+b9YpT95XPC23E06qj1eIc+/Wt8nqFc++DswiTO5B0ny1LWeb6lS+GNNyA1tQkCFkIIUZlazQvAzLNw700mipxOAc2TzBcXFhD7n9IsNTiiA96Btun5UqBXknk3J1+yLS9BDhk2ubQQ4iInybwQjXWhJPOlM/MaF4pL1CSmK13tNWY7JfOnlGQ+s0tPTlmaGTm5utGmY5can6dXlyXzP575iMf+GcWaE29UOXbtWliyBPLymiRkIYQQ5e3dCwcPQl4eTz8HE55NB3fl7qmro1eTXy7mwB6MltdkW5XYAxTosgFwMYaAP9ANAuzz0imEuMhIEZAQjXWBlNnfGDoUPydvfBy98HfX8cwzx1lEV7vPzMeFtSXr1x8AiOzVF00tP+fyywOKjaV9ADyqHHvPPWA0QukWyEIIIZrQ3LkQFwd//41pyBCyC5XpajdHLzTqpn/NtEeJPZQl8x5aXx59HHRpEORvs8sLIS5irTv7EKIluEBm5gf59+FSv17E5J0FTHTsrMzUO9ipAV7pzPzBcjPtHfoMqPV5eksyrzWZKTIoOwy4OVadzM+cCb6+UG5zDiGEEE0lJ4dCFxf+DAunqBDSczLBDO5a32a5XPnmd10G2DCZtzTA8/V2Ycwo6Ctb0gkhbKRBZfY33ngjSUlJlT4X4qJ0gczMg7JXbqnScnWNHWbmHQvy8ToXD8AfWWULDzvWsl4ewGCJ28FsptioJPOuDtVvJC8N8IQQohkYjZCbS2xEBCPbteW2IpjSbwiUeDbLevnC3BzOHlf6q7Tp1BUPX9uVXBWUNsBzUq7p5mSzSwshLnINyj7+/PNPioqKKn0uxEVpxAgICoJ2te9/3pLtzThCvqEQV40LpkJf9p/zgY72SeZDD+4BICesHQeO/weASqUisle/Wp+rt0zka01mioxKdUFVybzJVHYfRgghRBPLywOz2brHPLmW4xpdsyTzJ/fvwmxSbkh3teGsPJTNzJ92u5EZ/jBJAzNtGoEQ4mLV+qcShbC36dOhpATOnrV3JI3y5P5X+Df9AO9c8jxe50az+vv2OPQy4avV2TyW5F79+GPmAgxOjsS//gKgbEnn6ll7w6TSMntHs5kiQ/XJ/JkzMGqUsl4+vepm90IIIRoqV8nec4OUmvOu7eCKjUv58FBxs+wxf3zPDuvnXQcOafLz16TQsmb+8NHLMYyE3alAoE1DEEJcpCSZF6Ip2Knje1MKcw2mg3s4PlovnJyN9IvPwm+Sjvtmn0Vv41r0Ek9vYm4YzfEz0ZiMRqD2LelKlZbZO5rMFNVQZl9aUOTs3AQBCyGEqCg7G4DcYGV7OA81FDucAxW4ab2b/HKlze9UKhWd+w9s8vPXpECfDSXuqDsqX3f1tunlhRAXMUnmhWis3FwlMzQYWvW6+S+GLKHAUEhiYQr45bJ+9W6SU5w4g6t9AnJytm5JB3VP5tsV6pgbnYKfzsgiy8x8VQ3wundXdk3ybZ4+TEIIcXHLUdaRl87MuwOOGid8nIOsa8ubSl5WJgknowAI79oDN0/vJj1/bXoFXUugWztybyzkCF6EaW16eSHERUxaPwnRWMOGQXAw/POPvSNpNON5nevNZlU1I5tPxJ+/0eurT/BISyLm4F7r8Y516GQP4Goy06FQR6cCnXVm3q2KmXm1Gjw8IFBKIYUQoum1bw/PPUfuDTcAEH8InHa8xKe3JzCq89QmvdSJvWUl9t0utW2JPcCozlOZMnAlemdlKZi8rAghbKX1TiMK0VJcIFvTAZjPWy5gBswq2yb03X7cQOihvRh8fTh1WJmZd/fxJbBtRL3Oo4Ia18yXkm72QgjRDMLCYMIEciMjAYjZCekr4cb7m3670xPl1st3seH+8uWpVWqyLW8DJJkXQtiKvI0VorEugGS+xKij4/fXceVv4yk0FLPtzwCu+utqrr3hKtZ1t12XfsfCAoL+OwjAgXaRFOYqZZod+/RHVc+bCnpTCQazHgBXx8rJ/H//wbJlsGFD42IWQghRvVzLHdMeneCmeypugdpUoizr5dUaDZ0vse16eZPZSE5xKl++40Sq5e2AbDMvhLCVBs3Mt2vXDkdHx0qfC3FRugD2mc8z5HMqPw4AJ40j6RlOpGicbV67E3pwDxqDgdw2bdmTlmI9Xtf18gBR7k7s8nalS2ZZlUFVM/NHj8KKFRAXB/fe27i4hRBCnCcmBnJzyQ0LA1dXhl8L22OuZv+vJib0/T/83cKb5DLZaSkkn4kBIKJHH5zdqq/Eag7Zxak8s2UQbNsBLpcBMjMvhLCdBr1VP3r0aJWfC3FRugBm5nP1lnJ0jTMalYYrB6czMiCJnwlBY8NO/WGW2ZX4IUMb1PwOINHZkb/93NEZlXb1WrUTjurKNxw7dIDx42GI7ZdXCiHEhe/DD+Gbb8g9dgy6dcPNbOZoyr8YTQbU6qa7U3xy/y7r510GXNZk562rIn0uKlQ43fwpxVyGkwncpe5VCGEjrXcqUYiW4kKYmbck824OSuf6kOBiQsOKAdCYbJTMm82E7VWS+YQrryXmrZeV6zs4EtG9T51PU7rPvAdOrL3qT1y1Ve89N2CA8tGhQyPjFkIIUZlla7rle/bwbNdu5JvNBIzaTFxGPJ5N2M0+5kBZo9TOlwxqsvPWVRvPLrx/yxnOebrxIhCkVnq2CCGELci9QyEa6wKYmc8z5APg4VC2DZ1epfx5cLDRzLz32dO4p6Vg0GqJ6dTVWjbZrltPtPXYDL50n3mtGYJdw+jg1a3G8Tbu7yeEEBeH3FwA/N3ciN0MQzRqPnhoGJeFj8FB3XR7t0Xv3w0o+8vXp4qrKalVavzVHtxYAjfZJQIhxMWq9U4lCtFS3HILJCWBl5e9I2mw82fmY+NcSXByhiDbzcx7J5zF4OREcr+BnDh5zHq8vm/OSmfmtZa4VdXMkZhMSid76WYvhBDNwLLPPD4+lCj3i1GpK2+B2hiFuTkkRCv7y4d17o6rh2eTnbs+8jLVGE6qeeISuEqqvYQQNiTJvBCNtXy5MgORnGzvSBos15rMuwDwzQ+hbBscBL3AwdT0nYerEnvFtcQPvBxnrSN/L3rRerxj37rtL1+qNJkvLE5n1fH/o5ffJYzr/GilcfPnwzffwMsvwzPPNCp0IYQQ5ytN5n19GXYFfH0ylt8O/8mRZHc6+F3aJJeIObTPuqVqp0ua5pz1tSfxe37ZWMiZ1TMZcBXs+qPpzm02mzGZTJhs9DoshKiaWq1GrVbXe2clW5BkXoimYMMmcc0hz1Axmff10eHprycXR5s2wDN6enEyPYUD2zYD4BUQSO8rr63XOQyWmfb84jR+jV1FYuG1VSbzRUWg17fqVgdCCNEymc3WNfO3de6MUQt99Pt47+j9dA+4ghlD/tckl4k+sNv6eae+9knm47L/40xGHi5+WbRv79Nk61cNBgPZ2dnodLomOqMQojG0Wi3e3t44tLA3jnWO5rfffmP48OHVPm4ymXj11Vd5/vnnmyQwIVqNkhIwGpU3Ly3wjl1dnF9mf/+4OA619+ZHQnCwQZm9e/I58gODwVHLjx8utx4fMeFRHJ3qvl4eymbm/Rw8GRvxIN19q26e9+KLMHs29OjR4LCFEEJUxXK31Ax85+KCEYgozgbAXevbZJeJObDH+nknG+8vX6pAnw2jz9J7/j8s6N00K+bNZjNpaWmo1Wp8fHzQaDQtckZQiIuB2WzGaDSSm5tLWloawcHBLer3sc7J/KhRo3j44YdZtGgRrq6uFR47evQo999/P8nJyZLMi4uPl5eS0P/+O4SG2juaBsnVKwsa3TQu1mOlSXFzz8yrDAZGznkMo5Mz62fNZ88v3wPg7uPL1bePr/f59JYGeCHaIMZ2fZZwr6r3MnZ3B19f8PZucOhCCCGqolLBc8+Rp1ZjtLyW/PtBe8geg1v7plnXri8p5szRQwAEhLfDOyCoSc5bXwW6bBj4CLv63MSHwJtNcE6DwYDZbMbHxwettumaBQohGk6j0ZCeno7BYMDRsfKWx/ZS52qgv/76i61bt9KnTx/++ecfQJmNf/nll+nfvz9dunSRPefFxelC2JrOUmbv6lCWzN+alsjkw6fpmJ3frNfu/Mt3eCafwyk/l69++hazZW3g9fc9hJOLay3PrsxgeePoaK65AR602kIKIYRo2VxcYMIEMmfOBMDBAHvfvxaOjMPN0btJLnHmv0MY9EoJeqd+9pmVB8jX50GnUQCMaeJzt6TZPyEudi3197HO2cegQYM4cOAAc+bM4ZprruHhhx9m586dxMfH8/nnn3Pbbbc1Z5xCtExms1JiD607mddXTOZXfBjJzj1+XHttCuHDi5rtuhpdCX3/txqAf8fewx+rlRJ7Vw9PrrlzQoPO6aczEF6kQ1uYTWpRMoHuAbip3SuN+/JLpaDioYegbduGfw9CCCGqlmXZstXDCO7DthLvshU3bXCTnDt6f1mJfWc7ldgDZPlHgKsfmlwTHUvUEGC3UIQQF6F6ZR/Ozs68/fbbpKam8u677+Lm5sbevXvp0qVLc8UnRMtWmshDK99nXknm3S1l9idPebB7vy99L8kCCprtul1+/hb39FTyA4NZlJ6KyfLzHDb+AVzcPRp0zjuTcnBIzOHrAy+yJP4zHu/5ItN6za807qOP4PRpGD5cknkhhGhSqakQH0+WkxO4uRHoBH73v0786d9w177dJJeILrdevmM/+zS/A8gJuxoA4yY1HrfaLQwhxEWqXk03T506xVVXXcW2bdt477336NmzJ0OHDmXTpk3NFZ8QLVtpiT206mT+rrYjmddzKv18ugMwaXwsixceol/frGa7pqa4mD7rPwLg37vv5/fvNwDg7ObOsPEPNOrcKqDIWAiAq0PlWXmA66+HsWOhTZtGXUoIIcT5/vgDxo8n87PPAPAEsgszAHDT+jT69CajkVOH9gLg4etPUNv2jT5nQ+k6XwXAzc45uFf9cnNRGzp0KNOnT7d3GEJcsOqczC9fvpw+ffoQGBjIkSNHePjhh/nnn3+YPn06d999N/fddx/Zlm1IhLholE/mW3GZ/S1hw3m2+6P08ekKQN9eOajvgKODvcl0ap4mH91++ArXrAwyfPyYtOF/1rWP19w1AXcv70adW4WZIqNl6YBj1e+unnoKli+Hjh0bdSkhhBDns+wxnxWkNKXzArKLlGTe3anx3ewToo9TlJ8HQOdLLrXbWtZERzD7dwKjjleuMdb+BFGr7du3o1Kpmi2nUKlUODs7c/bs2QrHx4wZw8SJEyscS05O5vHHHycyMhInJyfCw8MZPXo0W7dubZbYhGiIOifz8+bN4/3332fDhg0EBCgLgtRqNbNnz2bv3r1ERUXRQ/Z4EhebC2RmHsBkNlX4+oOw9qy4pCNJ7i7VPKNxfPcojTRnZmVwLjEeADcvb66798FGnbdEpcIIFBmUmXkXjVu1Y1toLxMhhGjdLMl8puX9Ytw+OPfMMdi6EHetd6NPX2F/eTs2v9vnbnkbHfsH7V297BZHdUwmiI2FI0eUf02m2p5xcVCpVMybN6/GMbGxsfTv359t27axePFijhw5wubNm7nmmmuYOnWqjSIVonZ1nkr877//CAkJqfKxHj16sGvXLl599dUmC0yIVkGjgTFjoLCwVSfzBzKPoTcbcFE74aTREnXCg7wOjuDW+K3pMtNS+Gvzt5w4vJ/iwgJKiovQlRSTm5nOtcA2y7guAwZzz7Mv4+nr36jrLewcRLKzI+1iukDG37hVMzMPoK7XQiMhhBB1Ujoz7+cHgDrXBHo3MKtxd2x8mX30/nLJvB2b3x32Um4WO+45QeGw63Cr/wYszSYqCr75Bo4fh+JicHaGrl3h1luhW7fmuWZBQQGPPfYYGzduxMPDg5mW3QzK++STT1i6dCknTpzAzc2Na6+9liVLlhAYGEhsbCzXXHMNAD4+yv8n999/P2vXrmXz5s28/PLLHD16FI1Gw+DBg1m6dCkdOnSod5zTpk3jrbfeYtasWfTs2bPKMVOmTEGlUrF7927c3MomBXr06MEDDzRuKaAQTanOb2WrS+RLaTQaXnjhhUYHJESr4uGhvFp++mmrzgxv2P4gg365gzMFCQDMe60759KVGXmNqf7JvMlk4tj+Xax4aRZz7r+F7z/7kJNH9hN36gRpiXFkpadiNJn4FfAMCuGR/1vBzFXrCY3s1OjvpXRrOp1eKcGsas18URH07g1duij3YYQQQjQhS4l05+JiRgE39MqBJ9ujunwpLo6N22febDYTfVBpfufs5k5Yp2bKTGuRr1Fz1kP5XvRzprF2rV3CqFJUFCxbBgcOgL+/8lrn7698vWyZ8nhzmDVrFn/88QebNm3il19+Yfv27ezfv7/CGL1ez8KFCzl06BDffvstsbGx1vL28PBwNmxQ+uecOHGCpKQkli5dCig3CmbMmMHevXvZunUrarWaW2+9FVO5coOhQ4dWKpWvypAhQ7jpppuYM2dOlY9nZmayefNmpk6dWiGRL+Xt7V2Hn4YQttF6F/kKIZpMgLMvRrMRdwdlWiEooASNiwkjahzqWZenKylm6QvTOXF4X6XHnlaruQEVk7y9MXr50P+6Gxk56bEG7SdfHb1aSeb1JcrMUHXJfEmJ8uHs3GSXFkIIAdaZ+QdSUrgf+NEYzxKfWDyc/Bu9vj0t4Sw5aakAdOh9CRo79asxqKBXwgkOx7vgmOtE+/Y1T3rZismkzDGkp0P37mXLyTw9la+PHYNvv1US/Kacg8jPz2f16tV8+umnDBs2DIB169YRFhZWYVz5We3IyEiWLVvGpZdeSn5+Pu7u7vj6Kj0VAgMDKyTNY8eOrXCeNWvWEBAQwLFjx6yz623btq118rHUa6+9Ru/evfnrr7+48sorKzwWExOD2Wyma9eudfvmhbCjOv0FVKvVDfrjO3/+/FrXpAhxQWhkKbq9HR31A1m6HNKKMwFYvvggQwKHko4TDvX83jZ/9UmFRN7L15+rRt7KI+4e3Pj+WwB89vhsom+9u+m+gXL0lj9VJbpsoOpk3ssLtm0DF5dWXVAhhBAtU26u8q+vL0ZAZyjG3z0YV41fo09dfks6e5bYextMjD59Cv/oNXRd3YXbb33NbrGUFxenlNaHh1fuC6NSQViYMjMfFwcREU133VOnTqHT6Rg0aJD1mK+vb6Xtq/ft28eLL77IoUOHyMrKss6sx8XF0b1792rPHx0dzbx589i1axfp6ekVnleazH/88cd1jrd79+5MmDCBOXPm8M8//1R4zNzK39OJi0udkvkzZ8406ORShiIueKdOKbe3vbxgxw57R9Mo5zfA01veBdSnzD49+Rw/f7lOeZ5GwwMzF9D/ymG037eT4S8pa+eOjn+A6DF3NVHUlRksM/OlybyLQ+USOY1G2ZLO0mhZCCFEU7rvPmWv+a5dMQHp+wfyoCoJz7aZQEGjTn36yAHr5x369G9cnI3U3bM3V/Z+k25hLWeP07w8ZY18FdXhgHI8MVEZZ2sFBQWMGDGCESNG8NlnnxEQEEBcXBwjRoxAp9PV+NzRo0fTrl07Vq1aRWhoKCaTiZ49e9b6vJosWLCAzp078+2331Y43qlTJ1QqFcePH2/wuYWwlTol8+3atWvuOIRonfR6MBoviBaxpvPuRBtUypS1Qz2S+S9XLUGvKwHg2lvuYtA1Iwjdv4trX56N2mgkZuQt7Jo5r9nayJspuwmh0yllnm7V7DMP0s1eCCGaxW23gacnx4KDUQFfr4OtG+D+5x0IrH+/sgrOHD0IKB3JI7r3bnSoDWEGVICHQdmOzlnbchrgengoy8cKCpTS+vMVFCiPe3g07XU7dOiAo6Mju3btom3btgBkZWVx8uRJrr76agCOHz9ORkYGr7/+OuHh4QDs3bu3wnm0Wi0ARmPZVn8ZGRmcOHGCVatWWUvi//7770bHHB4ezrRp03j22WcrNNLz9fVlxIgRrFixgieeeKLSuvns7GyZsBQtRp0LTFNTU2t83GAwsHv37hrHCHHBKd2arhV3so/Oi6X/5tuYsOMZ67Gnnu1NoVH5nhzMdbtRcWz/Lvb/8zsAnj6+3HzPQwQf3sd1C57GQa/j7FXD+fOlt5q1rt0ImEszdEMxUHWZ/blzsHatsq5QCCFEM1CrGQx0BzrcCCPvhKC2+kadUldcTGK0MlsaEtkJF/cmzkjrINbFkYWdgjji7syJIwaenBzMC8+3nPcAbdsqXevj4yuvADSbISFB6WZvybebjLu7O5MnT2bWrFls27aNo0ePMnHiRNTlXvPbtm2LVqvlnXfe4fTp03z33XcsXLiwwnnatWuHSqXihx9+IC0tjfz8fHx8fPDz8+ODDz4gJiaGbdu2MWPGjEoxTJgwgblz59Yr7rlz53Lu3Dl+++23CsdXrFiB0Whk4MCBbNiwgejoaKKioli2bBmDBw+u1zWEaE716mZfPqHv1asX8fHx1q8zMjLkf25x8SlN5u3UgKcppJdksT/rP/7LjbEe+3uXP2bHupfZGwwGPn/vTevXYx94HDdHLVcvno9DSQnxlw9l2xsrMTs6Nv03UD4OdbmpdkMJatQ4aSp3uIuJgddeg7ffbtZwhBDi4lNSAvv2YTh1CsvKebQ9VpAy4irSg+u+prkqccePYrS87kb26tfIQBvmxyBP4ly1HPJy4aOdmzjxnwu/7kqwSyxVUauV7ef8/ZVmdzk5yluVnBzla39/ZUfd5rivvnjxYq688kpGjx7N8OHDueKKK+jfv2wpREBAAGvXruWrr76ie/fuvP7667zxxhsVztGmTRsWLFjAnDlzCAoKYtq0aajVatavX8++ffvo2bMnTz31FIsXL650/bi4OJKSkuoVs6+vL7Nnz6a4uLjC8cjISPbv388111zD008/Tc+ePbnuuuvYunUrK1eurNc1hGhOdc5Azm8GERsbi16vr3GMEBe8C2BmPk+vrF8s7WQP8MKcY8xS9wHqts/8tu++JClO6a0R2bUXg4eNwqRW8+uCN+mz8XP+fOVtTFqnZoi+In35unljCS4O7lU27/Tzg5tuUmYvhBBCNKHERBg/nuz27eH0aQDikvayP/4v2nsMadSpTx85aP28fc8+jTpXQyQ6O3LAyxWV2cy4c9m8G7ED7ryNm4c8BoTV+nxb6dYNnniibJ/5xESltP6SS5REvrn2mXd3d+eTTz7hk08+sR6bNWtWhTHjxo1j3LhxFY6dnz+88MILlba7Hj58OMeOHavxedu3b681xqpylblz51Y5ox8SEsLy5ctZvnx5recVwl6adDqxsduNCNHqXAAz83kGJZl3c3CxHrv5umSu+j2dUwVuFDjW/L3lZmfy/acfAMrfgPFTZlrL6jIvGcjvl1/VTJFXZijXtO+dwd/j5lT1lnc9esCbbzZ9maEQQlz0LNvSZVn+wLoDkwdN5/K216MraFzX0TNHy5rfte9p+5n5HwOVsv7BWYW0K9Lz2rBFGK4t4dr+ETaPpTbduin9eePilGZ3Hh7Ka57s4CLEhaX1ZiBCtAQX0My8m0PFxFdlBgezmdpu0e3evoWiQuUcV4y4mUE6HabjR0kbMMjmm7i7mExMisvA2QSRnt0IcAuocby8qRFCiCZmSeYzLcm8N/Dq+D6cPNKbB15JI3RQSYNPXdr8TuvsTJuOXWoe3MRStA7s8VZeJ+9JzAZArVLj4+yDm7bqG8f2plY37fZzQoiWp87JvEqlIi8vD2dnZ8xmMyqVivz8fHIte4mW/ivERcXTE667DlpxV1PrzLxlbbnRCFEnPSkuVqMOrL35XVS5PX+H3XwXl731Ev4xx/lz3iKib2ueveSr42wyMySrEB+90gVXXUtbEEnmhRCiiWVnA5DVRtmuzQvISoesdFWlhmz1kZeZQXqi0qupXbdeaGxYEWcGNoZ4YVapGJBdSIdCZTu0vTtdCAnU0r8LuLjUfA4hhGgO9Voz37lz5wpf9+vXr8LXUmYvLjq9e8MvvygL0goat3euveTq84GymfmiIg1jJyjNLD/+eleNzzUaDZw8sh8AD29fLs3OxD/mOHpnF+KuHdGMUdcsLu8EB5N+pZffJYxuP77S4x9+qHw8+CAsWmSHAIUQ4kJVOjMfHAwoyfzlr35FSb4LbUK7AA2r2DpdvsTexs3vNgZ7sc/bFbXZzH0JWQCYzCZefNYNQ6EHPfcXMrBfy5ydF0Jc2OqczP/+++/NGYcQrVsrbv5YVmavTCsYTSoC+xWT/pmWl4O688yeE9U+N/ZklLXEvlufAfTe8CkAJ2+5kxJvn2aOvHqns4+yLvpNhuRdX2Uyn5sLWVlK02UhhBBNyFKpmRWkrI/3MJt5c99dmDHzZvt9NDSZP3P0kPXz9j1s1/xum587PwcpG7Y/cTqdLgXKrHxOUQEG/4OQ05Z2bRvXC0AIIRqqzsn81VdfXeuYzMzMRgUjhLC90jJ7V42SzHt5Gli3bg8ju11Joq7musGog2Ul9te1aUvY/z7EpFZzdMJDzRdwDdIdNezxdkWtuoIRmXfS229AleMmToTRo6GP7ZshCyHEha20AZ6fHwDOxhLMKDe83bTeDT7tmSNlM/O22pYuT6NmQ4gXAPfFZ3JDer71sWKy4IGhuDi4EuTXOivzhBCtX5MsOPrll1/48MMP+f777ykqKmqKUwrROnz/Pdx7L/TrBx98YO9oGuT8mXkAvWUxucZc85r54+WS+bvPRANwZvgo8tvYp018srMjG0K9ifTqy7tFrxPuFV7lOF9fZXu6sJazk5AQQlwYrr4avL3J7KI0qNPqCuDARLRqN3TXanHwrH8lm8lksja/8/QLwDekTVNGXC0Po4mZp9I47u7E+HM5FR7L02cD4O1svyo0IYRocPuns2fPMn/+fCIiIrjjjjtQq9V8/PHHTRmbEC1fSYlSUtiKb2Kdv2YeQK9S/jQ4mKp/06UrKSbm2GEA+voH0n3X3wAcmfRYc4Vaq9J95h0tcatV1f+Jk+Z3QgjRDK68Ep56iifbtuU34LKcs7DlLXTfLCc3q2E7v6TGx1KYp5Tvt+/Zx2Y9mlRmuDSniIfisyrt7JKvV5J7X0nmhRB2VK+ZeZ1Ox8aNG/nwww/5559/GD58OAkJCRw4cIBevXo1V4xCtFwXwtZ0ljJ7d0syH5/owv/92gWW15zMx/x3CINeWTs4pH0nCtVqctpGktHNfn8L9JYEXWMyUKDPxWw2U9Xeer//DpmZcPvt0KmTbWMUQogLnlpNO6ANEJ2bCJ2O4UYYLm4N+4NbvsTelvvLuxpNOFfzOvjb15Hw27/ohv9ps3iEEOJ8dZ6bevzxxwkNDWXp0qXceuutJCQk8P3336NSqdC04kRGiEYpTeZtuEVOUyubmVfK7LNzHNl92BcATQ2N/cqvl9ddO5IvP97EH68tbcZIa1c6M5+SF8PYrX15/9hrVY779FN49lnYudOW0QkhxEXg6FE4fRpKSjAC2UUZMPY+Oj+5AC//2rc7rcrpIwetn0f26tskYdakRK3iuJsTKU7Vv7Ynx7lCwmA0+VUv5xKKoUOHMn36dHuHIcQFq87J/MqVK3nkkUf45ZdfmDp1Kn6WxiZCXNQugJn5+9vfyrRO9xLhpqxBDA0u5r4JsUDNM/PHD+21ft617wDMHp4UBdi3o6+htPTSUAyAq4N7leP69oXhw6FdOxsFJoQQF4sHH4Rrr4XoaExAdmEGAB6NaX5nWS8PENG9d+Piq4NkJwfe6BjIi52rf03reP02uGsM3a7+r9njaTCzCfJjIfuI8m8tfXBagu3bt6NSqcjOzm7W6zzyyCNoNBq++uqrSo+9+OKLqFSqSh9du3Zt1piEaIg6Tyd+8sknrFmzhpCQEG688Ubuu+8+Ro4c2ZyxCdHyXQDJ/LTO95KnzyepKA0AP18dV7bP4BMicKjmhb8wP4/Y6CgAeoRH4O3pjVnraLOYq6NXK8m8Wa/0MHBzrDqZf/xxcHGBcJlQEUKIpmM2W7emeyIiAj2Qb1SWY7k7NWxtub6kmPgTxwAIbt8RV0+vJgm1JnkOymu6t6H65Nch+Dh020Rk547NHk+D5ERBwjeQcxyMxaBxBq+uEHYreHWzd3R2VVhYyPr163nmmWdYs2YNd9xxR6UxPXr04LfffqtwzKEVV2GKC1edZ+bHjRvHr7/+ypEjR+jatStTp04lODgYk8nEsWPHmjNGIVquCyCZBzCdV05f2gBPU83M/Ikj+zGblDc57xn03Hv7tbTftrl5g6yD0pl5s0FJ5qubmQdpgCeEEE2uoACMRgA+dHPjPSA1twTejOePJxZjabNSL/EnozAa9ABE9uzbdLHWINdBeYHw1hurHZOvV25a+Lm0wErVnCg4sQwyD4CTP3h0Uf7NPKAcz4lqlssWFBQwYcIE3N3dCQkJ4c0336w05pNPPmHAgAF4eHgQHBzM+PHjSU1NBSA2NpZrrrkGAB8fH1QqFRMnTgRg8+bNXHHFFXh7e+Pn58dNN93EqVOnGhTnV199Rffu3ZkzZw5//vkn8fHxlcY4ODgQHBxc4cPf379B1xOiOdX77Wz79u1ZsGABsbGxfPrpp4wdO5Z7772XsLAwnnjiiQYFsWLFCiIiInB2dmbQoEHs3r27Ts9bv349KpWKMWPGNOi6QjRaYCBcfjl06GDvSBrEZDZxLCeG+MIkpVkckJ+vISHNGai+zD7qQNl6+d65OWiLCikICm3+gGtRumbeZCgEak7mbdQMWQghLh6W0uhiLy+KLH9kCzJTIC+MghS/Bt33Pl2h+V3fJgiydrmWmXmfGpL5xKMREHsVzqYWluCZTcqMfEk6eHYHR09Qa5R/PbsrxxO+bZaS+1mzZvHHH3+wadMmfvnlF7Zv387+/fsrjNHr9SxcuJBDhw7x7bffEhsba03Yw8PD2bBhAwAnTpwgKSmJpUuVXjwFBQXMmDGDvXv3snXrVtRqNbfeeismU9n3MXToUOu5arJ69WruvfdevLy8GDlyJGvXrm2S718Ie2hwvYhKpWLEiBGMGDGCzMxMPv74Yz766KN6n+eLL75gxowZvPfeewwaNIglS5YwYsQITpw4QWBgYLXPi42NZebMmVx55ZUN/RaEaLzbblM+Tp8um6VvRbJ1ufT46UYAjo78AUeVA//s9ue1L7vhO6uEvr2zq3ze8YPKDbeOKjWeBfkYHR3J6NbTVmFXy2C5PWnUK8m8i4NbleNGjVL+c23d2mrvwwghRMuTo2zXlmVpSKIGikui4ZF+3NHjWdSay+p9ytj/Dlk/b9+zT5OEWZu8OszMn/hoFuQGUDzS/lVpFRTEKaX1ruGV71qrVOASpszMF8SBe0STXTY/P5/Vq1fz6aefMmzYMADWrVtHWFhYhXEPPPCA9fPIyEiWLVvGpZdeSn5+Pu7u7vj6Kg14AwMD8fb2to4dO3ZshfOsWbOGgIAAjh07Rs+eyvuPtm3bEhISUmOc0dHR7Ny5k40bNwJw7733MmPGDJ5//vkKWx4eOXIEd/eKEwL33nsv7733Xl1+HELYTJMUmvr6+jJ9+nQOHTpU++DzvPXWWzz00ENMmjSJ7t2789577+Hq6sqaNWuqfY7RaOSee+5hwYIFREZGNiZ0IS5qhcZifLXeeDi44ahW7u2pVWa8ovV0fiOfkbHJlZ6TnZHOubgzANwcrMzGp3ftidHJ2XaBV0MFaE0mTDqlQ391M/MJCXD2bKvehEAIIVqe85J5LyBPnwIhB+nUrwE19kDccaXBnMbBgTadbNOArC4z8w4BseB3nJBAJ5vEVGeGPMsa+apvZuPgpjxuyGvSy546dQqdTsegQYOsx3x9fenSpUuFcfv27WP06NG0bdsWDw8Prr76agDi4uJqPH90dDTjxo0jMjIST09PIiIiKj3v448/5rXXqt7FptSaNWsYMWKEtWR+1KhR5OTksG3btgrjunTpwsGDByt8vPTSSzX/EISwgzq9lX399dd58skncXFxqXXsrl27SE9P58Ybb6x1rE6nY9++fcydO9d6TK1WM3z4cHbs2FHt81566SUCAwOZPHkyf/31V63XKSkpoaSkxPp1rqU5ixBNpoYt3FqyMNdgMsbuIrkwjVyDkgBfd00q112zjcQkZ+Ko/Dt//FBZif21bsqbhdQ+A2wTcC3GJOcyJjmXGdueB8CtmmT+yy+VRD442JbRCSHk9fgCZ0nmMy2zsd6Ag9oRR40W9wZ0s9cVF5Mcq6yLDo3sjKPWNolzXdbMj3rhfdL1ZxnQ/W2bxFRnDh5KsztjAag9Kz9uKFAed/CweWgFBQXWqt7PPvuMgIAA4uLiGDFiBDpdzTd7Ro8eTbt27Vi1ahWhoaGYTCZ69uxZ6/PKMxqNrFu3juTk5ArN7IxGI2vWrLFWFABotVo6dmyhzQ2FKKdOM/PHjh2jbdu2TJkyhZ9//pm0tDTrYwaDgcOHD/Puu+9y+eWXc9ddd+HhUbc/EOnp6RiNRoKCKm79ERQURHJy5RlBgL///pvVq1ezatWqOl0D4LXXXsPLy8v6ES4trEVTefttCA2FRYvsHUmjmFWVb0ZUd3/i1LHD1s/75Ss3AFL6tYxkHkBthiJjAVD9zHzXrjBwIDi1sAkVIS508np8gevQAR5/nKybbgLAE1h7536eC8kmbd+l9T5dQvRxTJaGeuFdezRlpDWydrOvIZl/uOtzvDv8E3oG2n+JWQVubZWu9YXxlV/IzWYoSlC62bu1bdLLdujQAUdHR3bt2mU9lpWVxcmTJ61fHz9+nIyMDF5//XWuvPJKunbtam1+V0qr1QJKgl0qIyODEydO8PzzzzNs2DC6detGVlZWvWP86aefyMvL48CBAxVm3D///HM2btzY7NvhCdEc6pTMf/zxx/z222/o9XrGjx9PcHAwWq0WDw8PnJyc6NevH2vWrGHChAkcP36cq666qlmCzcvL47777mPVqlX16ig5d+5ccnJyrB9Vda0UokFyciApSeng24oZz2uEc07rzGEfL5LdKpfOJ8XHAuABhKScAyC1T//mDrHODCY9epNyp766NfMg3eyFsAd5Pb7Ade4M06aRNWIEoJTZJ8bCiw+6sG6Bb71PF3/iqPXztjZN5pUXiJrK7AEcHVrgTjYqtbL9nJM/5B4DXQ6YDMq/uceU42FjlHFNyN3dncmTJzNr1iy2bdvG0aNHmThxIupyL7Zt27ZFq9XyzjvvcPr0ab777jsWLlxY4Tzt2rVDpVLxww8/kJaWRn5+Pj4+Pvj5+fHBBx8QExPDtm3bmDFjRqUYJkyYUKHa93yrV6/mxhtvpE+fPvTs2dP6ceedd+Lt7c1nn31mHWswGEhOTq7wkZKS0gQ/KSGaVp1XjPbp04dVq1bx/vvvc+jQIeLi4igqKsLf35++ffs2aLsGf39/NBpNpV+OlJQUgquofz116hSxsbGMHj3aeqy0i6WDgwMnTpygQxXdrJycnHCSKTjRHFr51nRbkv5iUdSH9PTqxNRO9wDw+18BLPXuSNQkT65ISGPif2crPKc0mffx8GL/mLvwTEuhyL/6ZpW2pjcWWj+vamY+Px+2bFEKKu6/35aRCSHk9fjikGlpJOYJuLjBZdfpUDvr632e0vXyYLtk3kzZmnlvQ9XJfOxpDUte9adrFw3ffG2TsOrHqxt0eaJsn/miRKW03vcSJZFvpn3mFy9eTH5+PqNHj8bDw4Onn36aHMvSC4CAgADWrl3Ls88+y7Jly7jkkkt44403uPnmm61j2rRpw4IFC5gzZw6TJk1iwoQJrF27lvXr1/PEE0/Qs2dPunTpwrJlyxg6dGiF68fFxVW4eVBeSkoKP/74I//73/8qPVbaGX/16tVMnToVgP/++69SMz0nJyeKi4sb+uMRolnUu/2TWq2mX79+9OvXr9EX12q19O/fn61bt1q3lzOZTGzdupVp06ZVGt+1a1eOHDlS4djzzz9PXl4eS5culXI9YXutPJk/k5/AtpSdOKjK4j8Z406Un7LO7vyt6QoL8snJTAfAqV0kB+95CPxazh67H4X7EOUaCLF34BD1LVqNttKY5GR49lnw9ZVkXgghmlRcHOj1SgM8JycMBanM/ftW2k/tythu8ykqqt+eoOWT+fDO3Zs62mq9ejwJg0qFr66aZD45h+NH23Iy9Thgm6Z89ebVDTy7KF3rDXnKGnm3tk0+I1+eu7s7n3zyCZ988on12KxZsyqMGTduHOPGjatwzHzecoAXXniBF154ocKx4cOHc+zYsRqft3379mpjCwoKQq+v/obSu+++a/38xRdf5MUXX6x2rBAtSZ2TeaPRyBtvvMF3332HTqdj2LBhzJ8/v05N8WoyY8YM7r//fgYMGMDAgQNZsmQJBQUFTJo0CVBKZtq0acNrr72Gs7OzdfuJUqXbVpx/XAibaOXJfK5eWfPu5uBqPXbZpZkMDslgB35oznuhTE4om6UPCW8HahU4tpyW8NkOGjKdncDBGddqSuy1Wrj6aiWZF0II0YQWL4ZffsH/zz/pe+WVOOUlcSD+XwxGPXSrXyJvNBhIiI4CIDA8Ahd32zRsUwF+eiNeehPVvbL7hKXAXfNwd3UFPqtmVAugUjfp9nNCiJanzu/CX331VV588UWGDx+Oi4sLS5cuJTU1tcYt5OrirrvuIi0tjXnz5pGcnEzfvn3ZvHmztSleTSUzQthdaTLfSvc4y7Ek8+7lkvk+PXPoHparJPPnzcwnW0rs1cBovQGXvByKAltQib1aebN4T8QjDPG8o8oxbdvCBx8oZfZCCCGakKWk+vGEBKYC/7gFcO0dX1GoL6r3pi/JsafQW3Y+sOV6+VLn38wur1d4e76e9iIdI2TJiBDCvuqcgXz88ce8++67PPLIIwD89ttv3HjjjXz44YeNTranTZtWZVk91FwyA7B27dpGXVuIRrlgZuYrVtgYLOsdHc6fmbck8z2Amb/9gO7f3/n0r6OYW8j3Xxp3R7eOXOZYdSf7Uqr6TRIJIYSoTelWgz4+GIEgj1A8Em9n8RQ9bbvpeGBhZp1PFXfC9uvly6vpna1apcbd0ZMI36AaRgkhRPOrcxYeFxfHqFGjrF8PHz4clUrFuXPnmiUwIVqF0FDo0wcCAuwdSYPkWmfmy0rSM7MdySlyBKg0M1/a/O5yy9dpPfu2mEQeymbmHU1m1LWsC5SCHyGEaGKlzc58fSndIyU3GxJiHMlIqt9rRcXmd7ZbSrnPy4VlEf5sCaj+hnBCnANHDjiTfE5eSIQQ9lXnv0IGgwFn54rbVDk6OtbYTEKIC96zz8L+/XBeM5fWIkefB4BHuTL7t5Z35ttf2wDgYKq4ZV3pmvkrLYlySr/67xvcnEpn5vckbebf5N+qHLNlC1x/PTz5pC0jE0KIi4Almc/086MY+CP6J3KDv+GFr/5j/Jzsep0qvnzzOxvOzCc4O3LYy4WzLpUbqJZa81kOsx4LYcYrMTaLSwghqlLnMnuz2czEiRMrbClTXFzMo48+iptb2azexo0bmzZCIVq6+i4EbEFyq1gzbzSBysmMGVWFMnuj0UDqOWVP6CEaNRhMpPYZYNuAa6G3JPObTr1HlsmXYeGjK43JzISzZyE11dbRCSHEBUyvh4ICALq1b08q0PXI/zh+5DOeH/UuEe43odfV7VRms5m448oe814BgXj52a76rXRbupr2mC9wPAt+juRojwLSgFkIYT91Tubvr2IPp3vvvbdJgxFC2FauQUnmPRzLbsi9Nu8/Cttp2ExIhTL79ORzGA0GgoAIgwGzSkVqr742jrhmBkutUV+vAfTTBFc55rrroHNn6NpCdxMSQohWKU+p9DJTts98TvYZAHxc/et13zvjXAKFecr6+7ZdbJss5zooLyQ1JfORN27gUM+PuGLIbOBuG0UmhBCV1TmZ/+ijj5ozDiFapyeegJ9/hocfhltusXc09Zajq7w1HYDeUkZfvptv6Xr53qXPbdsevYdns8dYH6Uz81M6z+EKp5Aqx/j7Kx8dOtgyMiGEuMA5OMDjj1Og1VqXPGVnREN6J0790Y08f0fCutRtaaY9m9/lOioz8941JPN5euVGg4+zj01iEkKI6rTO/bSEaCnOnYOYGGtpYWtTVZk9wMxTJ7nlYCLGcl3ikuOV9fKlOXBOu0ibxFgfpW8gHc1mVLW0q5cGeEII0YQ8PWHaNDJDlBupWrOZosI0OHkf7y7vyeCbCpj8ct262VdsfmfbZD7PMjNfUzJfYFCSeW9nb1uEJIQQ1ZK3s0I0RqvfZ760AV5Zmf1zL/fgo9cj8EvU4aE3WI+Xbkv3M/D1hEeJunOCLUOtk+vS8xiZnIW73lhtN/vDh2HzZjh50sbBCSHERSDL8nroblaSYQevDHpcVkRwhKGmp1VQul4e7DAzb1kz722oPpk/tmoWfPojhUltbRVWq2E2m3n44Yfx9fVFpVLh7e3N9OnT7R2WEBcsSeaFaIxWvM98iVFHiUnpRuTuqMzMG43w9aYwvvw2nPN2pSMpIRaAs0DK2HtIvGKo7YKtozHJuRT99Ch3/hTJ6qg3qhzz5ZdKJ/uvv7ZxcEIIcSHLzISYGDLzlYovV6NSUu8/eBtv/pTM6Idy63yq0k72Lu6e+LexXcKsU6ko1pTOzJuqHZcf3Q9iRuGi9rJVaK3G5s2bWbt2LT/88ANJSUmcPHmShQsXWh+PiIhgyZIl9gtQiAtM65xOFKKlaMXJvMls4snOE0grycRNY0nmTSrmTD9OSpoTbm5GSix/IsxmM0lxsQD4BgTh7O5hr7BrVWIowIwZrcapysfbtoVLL4X27W0cmBBCXMh++gkWLiTr//4PnnkGJ30hoDS/A6UxXl3kZWaQlZoMQHiX7rUumWpKpSX2DiYzbsbqk3n322aSkwOdIx+3VWitxqlTpwgJCeHyyy+3dyhCXBRkZl6IxmjFZfYuDs4s6f8cSy55Dge1cjNC62hm0j1nMSxU8/ZlnYnzcAEgPyebwvxcVMBTzs602fsvKn3dGhnZWrFReQPp6uBe5eMPPwxffAHjx9syKiGEuMBlZwOQFRQEgIOlwaqXix9Q911c7blevrTE3stgpKZbCIbOG6HfOsICW+6NbXuYOHEijz/+OHFxcahUKiIiIhg6dKi1zH7o0KGcPXuWp556CpVKZdMbNUJcqFpfBiJES9KKZ+ZLGc2V1wXu9PMl2tODASlZQJG1xD4EeD7+LKZnH2ftzpa16LxEpeKYhzMZob0g9fdqk3kAef8ghBBNLFcpo8/0V2bi1cU5yte/TGLqm6FcdlMB19xZe7PYuBP2Wy+vNZvpn11Y47Z0JrOJQsu2rrZsgDdgwACSk5Ntdr1SwcHB7N27t05jly5dSocOHfjggw/Ys2cPGo2GO+64w/r4xo0b6dOnDw8//DAPPfRQc4UsxEVFknkhGqNNG2WPM/fqE8eWqtBQRLYul0JDkfVYQaGG3FxHSjpbtqazLJwvbX5X2sk+P7gNZkdHW4Zbq1xHNSva+6MKex0OLqsxmZdO9kII0cRylOQ9y9cXAFNRhvJvVhinDjvR4/LiOp2m4sy8bfeYb1Os57GzGQSWVJ/Mp+cWYI69AlwzbJrMJycnk5iYaLPrNYSXlxceHh5oNBqCg4MrPe7r64tGo8HDw6PKx4UQ9SfJvBCN8dlnUFQE8fH2jqTetqbs4OY/H6Ovdze+GPI2ANv/DmDGc33QxhrBExzMyprB0j3mO1qemxve8jr4lm5Lh6EEALdqkvlp0yApCT78EAYNslV0QghxgbMk8+MTE+kBLD/1CwD97zjEffd3RuNctzr7+JNRADhonQiO6FDL6OahqWFNQMwpA6z9E5VXPNoVWpvFZK/kV5JuIVo2SeaFuEgVGYtRq9QV9pgvKtbg6GBCZekd52CdmVf2mC9L5lte9zi9NZlXZn9cym23V150NMTGgk5no8CEEOJiYCmz7wl0A5Ym/AtA+25mLu1YxLmE2t9y6oqLSTl7GoDQDp1wsFMFWE3FW4WGQvA7gYN3OhBuq5DqXOouhLi4SDIvRGPVtatPC3Nn21HcET6S6LxY67Hbb05k7OhEBntdQwka6+xEsmXNfCeNBoxGctu2vGTeoLYk80Ylma+uzH7RIiWR72nb6k0hhLiwWWbm8fXFCKhVGrQaJ3xc/Ov8Mnnu9EnMJqUiLKxj1+aJswbJWgc0ZggoMeJUTdCduxcx6KUphPkFAENsG+AFQKvVYjRWv4xBCFE/kswL0RhjxsDp0zBvHvTube9o6k2lUuGgdsBgMpQ7VpYYa0xm9LoS0pPPAdDVwRGMRvJaYJl96cy8Wa/0AKgume/TBzw9wcfHZqEJIcSF7/bbIS0NIiMxAR/fv428kjz+/iuHvVEOuPqY8AmqOYlLOHnc+nlY527NHHBln4X5EOXhzKyYVIZlVN2sr617Rxb0/5CBPYJsHN2FISIigj///JO7774bJycn/C0NE4UQDSNtoIRojKgoOHKkVddsm8wV99I1m8uSeQeTmZTEeMyWGYoIo5L054ZH2DTGujCUdqg3WtbMO0o3eyGEsJlJk+CVV3gtIoJFQDpgxsz/Fvsy/+5g/tvhXOspEmPKJfOdbD8zn2vZZ97bUP0e86UcW/EuNvb00ksvERsbS4cOHQgICLB3OEK0ejIzL0RjtOKt6d45+QnbU3ZzbdAgrgtWSgXX/q8dZ866ov9CeUPjYDYRZ2l+B/DKdaMZeckg8sJa4My8+rw185rKa+ZNJti6Ffz94bbboIU15BdCiNZNrWYRkA1cCviaDARHmInsVYKHb+2l1QnRUdbP7TEzn2fZZ76mrek2f+fOP7+7MXmihkcetlVkrcf06dOt+8oDbN++vcLjl112GYcOHbJtUEJcwCSZF6IxWnEyvzvjMBsTfqGje1livvWPQHbv9wW1MhOvMZmtnewBcvtfRsyoMeBU+wyLrZXvZu+kdkajrvzfpKhI6WYPUFAgybwQQjQJnQ7i4jC2b0+OZbZ11mejaO/iy7TXF6LXqUhJrvl10mw2WzvZe/oF4Olr2/JrE5BnmZn3qiGZ/3nff5zYMRRNu9955OFrbBSdEEJUTZJ5IRqjNJl3aH2/Sjn6PAA8HMtmsG+/JYFevbP5K9EflSs4mszW5ncAwWHtwKFl3rgoPzNfXSd7oxEuuQT0enBuefcjhBCidYqNhdGjyenQAXNMDAD/nf4NnV8XAOrS/y43I438rEwA2nTs0kyBVq9Ao8ZsuSnsXUMyHzTod044r6PbVZcCkswLIeyr9WUgQrQkrXhmPlevNPcpvzXdLaOSKCjUcMfuRPIcHchxciT1XAIA1wNDD+4lzceH7C62L3+sTWkDvE7uXXnkkneqHOPpCZ9/DgEBoJaOIUII0TQs29JltVUqvVzMZhbdvp48nXLTuC7d7O3d/C7XUXkd99AbqekV/anr7+Dh67K4rp/tbzgIIcT5JJkXojFa8cx8rj4fALdyyTxAaT88s2WiOz0lCYBJTs5c9d4b7HFUt8hkflBWIT3zigkpUdGjzc01jpVEXgghmlB2NgAZlmTeR6Xi+m63EZ8TzysP+ZAS58DY6dm066av9hQV1svbtfldzWv7XRzc8HX2JNAt0BZhCSFEjVpfBiJESxIcDFptq1x8bS2zt5Skm0yQkuoMKjNms1IWqSspJi9bKXvsbMmAW2InewAnsxknvRFfnRG1tuZsXbrZCyFEE7LMzKeHhQHgZzlsNBmJPqglIVrLTYU1/11OiC6bmQ+3x8y8ZQlZTevlAWJOaPF0c6CwE7i61jhUCCGanSTzQjTGf/9BTg6kpNg7knornZl3d1TejWRlaxk6+mpQw6cbd1LsqCEzIdE6PsJShZAX3s72wdZRSv4ZolL30duvL5cFV17LePgwLFgAvXrB//5nhwCFEOJClJMDQHpoqPJ1YTo/nv6NAM9wpvyfE1mpGkIiq5+Vh7JkXq3RENK+Y7OGW5XS5nc1rZcHmDNLS35qAC4/J3H7DSG2CE0IIaolxaZCNFZdFgO2QNZk3lJmn1/ggIPGhGtXPffechlTh19iLbF3B3z1OuV5YS03mT+e/i9vHp7B2hNvV/l4VhYcPQrHj1f5sBBCiIawJPNpwcEAJKUcYsaGcRxK2MUlQ4sZfGMhHj7V791u0OtJOh0NQFC79jjaYceU3DpsSwdQ7BQHbimYnDNsEZYQQtRIZuaFaKxWmMwXG0vQmZRZktIy+3bhhRzd8Ss7cnyYxEAcTGYyUpVkvoPleUXePug9PO0Rcq3+8HVje5t7aetupltWUZVjevaE99+Htm2rfFgIIURDlM7M+yvbyRnykgHwcS3dXq7mtU0pZ09jsNwwDutkn54sw9Lz6JNTRGRRzRUEDg9fhcFYyCW9o20UmRBCVE+SeSEaymyGyy5TPl+xQmmV3kqUzsoDuDqUzYCoVICT8qZLYzaRkaq8ISsteMxrwbPyCS6OxPuHMa7ro0zLq/q/hZ8fDB0K7VrutyGEEK3PZZeBoyPa0FCCgdzsM4CSzB/515mSYhV+4Xocnap+evn18vZK5r0MJnz1OkJKDNWOMZj0FBsLAfBx9rFVaEIIUS0psxeioQwG2L1b+WhlSpvfuTm4olFV3ISnxPJnwcFkJiPlHFCWzLfkEvtCjRK3u8GEWiUN8IQQwmZGjID581nQsSOxJiPF2+cD4O3qz/N3BPH87cHkZlS/4Vti+WS+s+072ZdS11JoV2DIs37u5ezVzNGI1iw2NhaVSsXBgwftHYq4wEkyL0RDGcrdvW9l+8yXzsx7WkrsAf7e6cdLi7qx85AvUJrMKzPzHwAbX13BkYmP2jzWuioqTeaNZlTVZOtnz8I//0BMjC0jE0KIi4DldTClMB2T2YQKFZ7OPnTopcM32ICjc/WZcoVt6TraL5nX1LJs7my8Dj79EYcfV+OgluLWqiQnJ/P4448TGRmJk5MT4eHhjB49mq1bt1rHREREsGTJEvsF2UKkpKQwceJEQkNDcXV15YYbbiA6uuLyjaFDh6JSqSp8PPpo2XuxzMxMRo8ejbu7O/369ePAgQMVnj916lTefPNNm3w/wj4kmReiocon861sn/nzm98BHDzizWdfteX4GaVE3cFctmbe4OVD1sDLyOzaw/bB1lGRZeu8lQdm8L/olVWO+eEHeOABkPcQQgjRhM6ehbQ0MBpJLkgFwMvFFweNA29tTuK9HYl4+lbfAK+0zN7F3QPfkDY2Cbk8M/BeOz8+CvchX1P9W+OkND3EjMIcM9x2wbUisbGx9O/fn23btrF48WKOHDnC5s2bueaaa5g6daq9w6tEp9PZ7dpms5kxY8Zw+vRpNm3axIEDB2jXrh3Dhw+noKCgwtiHHnqIpKQk68eiRYusj73yyivk5eWxf/9+hg4dykMPPWR9bOfOnezatYvp06fb6tsSdiDJvBAN1Ypn5v2dfJjY/jauCx5iPXbpJZk89sApOnVTygg1RhPZGWkA+AWFgKZl37Ao1Ciz8cWFSdWO8faGLl1kzbwQQjSpO++EAQMwHT9OcoGyVWtZ8zswGKpf21SQm01msrKkK6xT12orq5pTiVrFXm9XtgZ41Dg77+yXDLdMInD0ChtGV05BQfUfxcV1H1tUVLex9TRlyhRUKhW7d+9m7NixdO7cmR49ejBjxgx27tzZiG8cVCoVH374Ibfeeiuurq506tSJ7777rsKYP/74g4EDB+Lk5ERISAhz5szBUO692tChQ5k2bRrTp0/H39+fESNGsH37dlQqFVu2bKFfv364uLhw7bXXkpqays8//0y3bt3w9PRk/PjxFBYWWs+1efNmrrjiCry9vfHz8+Omm27i1KlTdf5+oqOj2blzJytXruTSSy+lS5curFy5kqKiIj7//PMKY11dXQkODrZ+eJbr0RQVFcXdd99N586defjhh4mKUqpc9Ho9jz76KO+99x6aVvYeVdSPJPNCNFQrTuZ7eXfho8teY3b3sju4g/pn8cQjMXTqZmmOp9NhNptxAhYU5NP1+69RGapvDGRvpWX2FGfj6uBe5Zh77oHvvoPnnrNhYEIIcSEzmSA3F6NajVP37tzT9gpw8cPHNaBsiLH6BD0x+oT1c3s1vyvdY15rNOFiqj6ZV3mkQb+1tLvib1uFVpG7e/UfY8dWHBsYWP3YkSMrjo2IqHpcPWRmZrJ582amTp2Km5tbpce9vb2rfe7EiRMZOnRorddYsGABd955J4cPH2bUqFHcc889ZGZmApCYmMioUaO49NJLOXToECtXrmT16tW8/PLLFc6xbt06tFot//zzD++99571+Isvvsjy5cv5999/iY+P584772TJkiX873//48cff+SXX37hnXfesY4vKChgxowZ7N27l61bt6JWq7n11lsxmaqvQCmvpKQEAGfnsibEarUaJycn/v674v9fn332Gf7+/vTs2ZO5c+dWuKnQp08ftm3bhsFgYMuWLfTu3RuARYsWMXToUAYMGFCneETr1bKn2oRoyUoTW42m1XZUM5krvuiYTCoMlnJ1U4lyl789MCExDt17b3H8vgdtHWKdFVqT+RxcHSq/kSillluYQgjRdAoKwGQiy88Pg0pFvoMzlOTg7erHlk/d+eV/HvS9pohr7sqv8ukV1svbqfmdtYGqseZErECfC4CPi3SyP19MTAxms5muXev/3zAkJKROSfDEiRMZN24cAK+++irLli1j9+7d3HDDDbz77ruEh4ezfPlyVCoVXbt25dy5c8yePZt58+ahtrz4d+rUqUKZelKSUs338ssvM2SIUq04efJk5s6dy6lTp4iMjATg9ttv5/fff2f27NkAjD3v5smaNWsICAjg2LFj9OzZs9bvpWvXrrRt25a5c+fy/vvv4+bmxttvv01CQoI1JoDx48fTrl07QkNDOXz4MLNnz+bEiRNs3LgRgDlz5vDYY4/RoUMHIiIiWL16NdHR0axbt44dO3bw6KOP8ssvvzBgwABWrVqFl5c0brzQSDIvREOZTODr2yqzwwJDISpUGExG67HMLEfUKjN6d+XGhMlSsle6x3xuWLsWe9PCBBTXYWYeWuy3IIQQrVPpHvNtlLXuTvpCSkwGvFz8iI3S8t9OZ8I6V782ufy2dG3s1PyuNJl3M9ScUKakAsm9cAkLt0FUVciv+oYIULlCMDW1+rHnv2+JjW1wSKXMtTQPrMlrr71Wp3Gls84Abm5ueHp6kmr5PqOiohg8eHCFZRpDhgwhPz+fhIQE2rZtC0D//v1rPXdQUBCurq7WRL702O5yuxdFR0czb948du3aRXp6uvVmRFxcXJ2SeUdHRzZu3MjkyZPx9fVFo9EwfPhwRo4cWeFn+fDDD1s/79WrFyEhIQwbNoxTp07RoUMHvLy8+N///lfh3Ndeey2LFy/ms88+4/Tp05w4cYKHHnqIl156SZrhXYBaXxYiREvRpg1kZMB//9k7knpbePRd3L7qy6tRZSVmEx69lEHXDcP0j4pnd0YR+YVy17f0pSwvrK0dIq2bYnW5DL0kp9pkftEiuO8+2LzZRoEJIcSFLleZrU5r3x4AxxKl74qXiy+jJuYxZ3UqA0cWVvv0isl8l2YMtHp1nZk/vKUvvHeY6G/vtkFUVXBzq/6jXLl2rWNdXOo2th46deqESqXi+PHjtQ9uIEdHxwpfq1SqOpe1l6pqCcD551apVLVea/To0WRmZrJq1Sp27drFrl27gPo11evfvz8HDx4kOzubpKQkNm/eTEZGRoWbCOcbNGgQoFRCVOWjjz7C29ubW265he3btzNmzBgcHR2544472L59e51jE62HJPNCNFYj7kbbi7Wbvaasm31hkVKoE2Yq5KrEdFTbfwegdP6hwA4dhuvKpFIxMKsAh5gtYNRVm8xHRcGOHco9GCGEEE2gdGY+XHm1UBcpf2B9XP0J76RnyI2FtOumr/KpJpPJuse8f2g4Lu4eNgi4MmsyX8vMvEFdCG4p+Pobaxx3MfL19WXEiBGsWLGiUjd2gOzs7Ga9frdu3dixY0eFWe1//vkHDw8PwsLCmvRaGRkZnDhxgueff55hw4bRrVs3srKyGnw+Ly8vAgICiI6OZu/evdxyyy3Vji3dtz4kJKTSY2lpabz00kvWtf1GoxG9Xvnd0+v1GI3y/+2FSJJ5IS5CKwbMJ/u2PTwQebv12NZNf/LXT78T2U55Ec5IVfaYL03m84NbbjLvbjTxcFwmDutvA6h2zfzUqbB8OQwZUuXDQggh6uu8MnttSR7ODi54W7rZ15Q/pCXEUVKkzNqHdbZP8zuo+8z8VXfto8erN/HA9ARbhNXqrFixAqPRyMCBA9mwYQPR0dFERUWxbNkyBg8eXO3z5s6dy4QJExp17SlTphAfH8/jjz/O8ePH2bRpE/Pnz2fGjBnW9fJNxcfHBz8/Pz744ANiYmLYtm0bM2bMqPd5vvrqK7Zv327dnu66665jzJgxXH/99QCcOnWKhQsXsm/fPmJjY/nuu++YMGECV111VYVlAaWmT5/O008/TRvL7+KQIUP45JNPiIqK4oMPPrD2BBAXFlkzL0RDnT4NDz4IHh6weLG9o6kXlUqFq6MLrg7O5Y6Bk5MJjaUaMt2yx3w7tRpMJgqCK98FbklMZhPFRiX46mbmBwxQqgvD7bTcUQghLjhhYTBhAumXXw7A0LBBPDszjXO5KfzzgyvuPiZ8Qg2oq9j0pXzzu3C7JvPKUi13Q80zl7e3f4h7uzzG1X3kRaQqkZGR7N+/n1deeYWnn36apKQkAgIC6N+/PytXrqz2eUlJScTFxTXq2m3atOGnn35i1qxZ9OnTB19fXyZPnszzzz/fqPNWRa1Ws379ep544gl69uxJly5dWLZsWZ068peXlJTEjBkzSElJISQkhAkTJvDCCy9YH9dqtfz2228sWbKEgoICwsPDGTt2bJXf05YtW4iJieGTTz6xHps2bRp79+5l0KBBDBw4kPnz5zf4exYtl8rcmI4VrVRubi5eXl7k5ORU2KtRiHo5cAAuuQSCg+GPP+wdTb2VGHWcLUiscCwz25F/HPzYH+DF+uemY9q0iQSNA22MBr77ZBNpvfrZKdralRgKmfqD0jzpwB351c7Ou7kp7Q6EEJXZ+vWx2a53+nTF7UNFs3u6Y0feUqt5EHi0JI+o6Czu69UWjYOZlbsSqkzmN737Jt9/sBSAx954j/7DR9k2aIvP2njzu78H4xOymJCYXeNYdxdHhvRu2rLt8+n1etLS0ggICKi0dlsIYR+2/r2s6+ujzMwL0VDlt6ZrZWYe+D/SijO5u92NdHAPJznFiffXRuLpqaf4KTX/6xEBo0fDpk1M7tOfqQ9MJctOjYnqItdBzTmVEVwDUBWm46xxqXLc3r1KIYWvb+X+P0IIIRou3dJF3Acwmo3oilV0HVCMQa+qMpGHis3vwjp3t0GUVfPTGelQUEJISc03gN59w5fiQi1vL4bu9gtXCCGsJJkXoqFKk3mH1vdrtCF+C7EFidwYejUAicku/O/rtrQJKeTaGWnKIEtHVkN4BKl9B4CLa3Wns7s93q583qYNaFbg8u0DqFVVr4+bMkVZ3hkVBQ3YClcIIcT5UlNBpSK9Y0dQqfj8j4UcSjnMjOsWseSXJNJTHbDsdFpJ/MljADi5uBJgxx1TbkjL46bUPIJrSeZ/3JqLMSucQ9PO0L17extFJ4QQ1Wt9WYgQLUUrnpnP1StN7twdlAQ90K+Exx44hdkM2WpL6ZAlmfcLDKHaaZUWoqi0uU1JNi6a6m86hIWBlxe4V78NvRBCiPp4+WXYsoUp331H4OBOrD36OdpyD1e3DL0oP4/0xHgA2nTq2uRNyupLVYdFp6phL0CeDx07TG/2eIQQoi4kmReioVrpzLzZbC7bms6SzIeHFTH9sRjOJTuzQm3Z31SnYxDwwH8H0fy1lbMjbrJTxLUrbV7U370fY3q/Uu24jRvBxwcCAmwVmRBCXOAs3exvzMujp6s/A4e/TlZRpvVhUzWT3YkxJ6yfh3Wyf6mUmtqz+Q+nPIC7h4E+HVp2Q1ghxMWjdWUhQrQkrTSZLzaWYDArsbs7VmwSZzKBoXR2RKdjCDDi3+2c8vBo0cl8kWVboR4uHbipbc0LGS3LOoUQQjSF3FzlXx8ffFz9GdblZuKy43jnGS9iDjtx3X159Lqicp19/MnyneztuwA9y0GDj96IGajpJSLYNZz2gV5oNdoaRgkhhO3IPvNCNJTZDE5OoG1dL+o5+jwAVKhw1Shb0+UXaCgo1GA0qihxKEvmSzffKQhp2e3fS5N5N6Op2vXypexcySmEEBcWy8w8vr4YUbYJNZqNRB904tguZ3TFVafH5belC+ts35n557oF82DfcFK01d+c15WoOBPjSFpK67qBL4S4sMlfJCEa6vrrobgY4uOhqMje0dRZ+RL70sR3ycpOfPJFO+6+LY6zV1rWnEdHW/eYzw8OtVe4dVJoSeaTs45wssiN3v6XVhqTkgJz5kBQkFJuL4QQognk5JDt5cWa9u05dPZPeuXEExHQnSmLtMSdcCQoUl/l0xJOlCXzbTraL5nXq0BnucvrbjRVO+5wTDrPTx6Aq2cRBTm2ik4IIWomybwQF5nSZN6jXIl9fr7yp8DV3cBpb0t3uIMHiXBwAJ2OgqCWncwXqZWZn2+Ov0VegYYVV31TaUxODvz7L/j72zo6IYS4QBkMkJ/P2d69eTowEFUBmNdezYpxP9CpjzehHQxkZVYuhzKZTCTEKNvS+YeG4+pR/R7Kza30ZrDKbMa1hmT+XG4SuKVgdM0HOtgoOiGEqJkk80I0lrkOLXBbEGsy71CWzL82/yhznz7Onnwf1jhEQmEhnDhBmKVTf0Fwy272U/pmLMzBnwjPqrvbBQfD22+Da8vdYU8IIVoXy3r5dMtdUnNBKgBBnmEAGKvpZJ+eGEdJobKrir1L7EuXabkaTTWuPfWKiIVZN9O/zZXAn7YITQghatUiVo+uWLGCiIgInJ2dGTRoELt376527KpVq7jyyivx8fHBx8eH4cOH1zheiGazfTuMHg1vvWXvSOol57xO9qA0hXNxMqJ3U9MmJR327sXRZMJPr5RHtviZecubsbldF/J0n9eqHOPpCaNGwb332jIyIYS4gKnVMGEC6bfdpnxdmI6HkxclWT78/b0rp49W3VMmIfq49fMwOze/KyjXc6Um+XrlxoW3s3dzhyTqSKVS8e2339Z5/MSJExkzZkyzxSOEPdg9mf/iiy+YMWMG8+fPZ//+/fTp04cRI0aQmppa5fjt27czbtw4fv/9d3bs2EF4eDjXX389iYmJNo5cXPTi4+GHH2D/fntHUi/WNfPndbI3mlR0zcrj/kXvwtChhKL8gTBonSj28bV9oPVQZNmazs1gQlVjL+JWt/mAEEK0XN7e8NxzpD/wgPJ1YTrBXm05tsuJl+8PYvW8ql874k8cs35u723prA1UDTUn8wUGJZn3cfFu7pBateTkZB5//HEiIyNxcnIiPDyc0aNHs3XrVuuYiIgIlixZYr8gLYYOHcr06dOb5Fxbt27l8ssvx8PDg+DgYGbPno3BULYvY2xsLCqVqtLHzp07rWN+/fVXOnfujKenJ/fddx86nc76WE5ODp07d+bs2bNNEq+4cNg9mX/rrbd46KGHmDRpEt27d+e9997D1dWVNWvWVDn+s88+Y8qUKfTt25euXbvy4YcfYjKZKvyREMImWunWdLmG0pl5F+uxN97pxDsfdCQ7x5HktGQwm4kH5jw2ix/f+1+L3s/NDDwTk8ZzJ1PwN5hQVRPrqVNw6BBkZdk2PiGEuNClWZZkUZhGkGcbtM5mug4oJryLrsrx5Wfm7b0tXaHlZnBNze8Ajv/bAb7+jJR/r7dFWK1SbGws/fv3Z9u2bSxevJgjR46wefNmrrnmGqZOnWrv8JrNoUOHGDVqFDfccAMHDhzgiy++4LvvvmPOnDmVxv72228kJSVZP/r37w8ofSTGjx/Po48+yo4dO9i7dy8ffPCB9Xlz5szh0UcfpV27djb7vkTrYNdkXqfTsW/fPoYPH249plarGT58ODt27KjTOQoLC9Hr9fj6Vj9zWFJSQm5uboUPIRqtNJkvfRPTSuTolK3p3C1r5s1mWPt5BKs/aY9OpyY5PQUAE6Du1JX0nn3sFWqdqID2RTp+/f1+Hvz9Sn5P/KHKcatXw513wqpVto1PCFFGXo8vMNnZkJJCeunXhekEeYQxaEQRS35J4t652VU+LeGkMjOvdXYhIKytLSKtVmmZvXstM/Mpp4Pg6HjyYjvaIqwqFegK6v1hMJXNDhtMBgp0BRTpi+p03vqaMmUKKpWK3bt3M3bsWDp37kyPHj2YMWNGhRnohoiOjuaqq67C2dmZ7t278+uvv1YaEx8fz5133om3tze+vr7ccsstxMbGVnm+iRMn8scff7B06VLrLHlsbCxGo5HJkyfTvn17XFxc6NKlC0uXLq0xti+++ILevXszb948OnbsyNVXX82iRYtYsWIFeXl5Fcb6+fkRHBxs/XB0dAQgPT2d9PR0pkyZQo8ePbj55puJilJ2fPj333/Zs2cPTz75ZAN+cuJCZ9cpxfT0dIxGI0FBQRWOBwUFcfz48WqeVdHs2bMJDQ2tcEPgfK+99hoLFixoVKxCVNJKk/lOHhGMCRtOdy+lG6/JBA9NOENSnhMFoRqSM8qWuPgFhYC6dXx/6YWJJBfFV7vPvIcHhIZCWJiNAxNCWMnr8QXm669h8WLS//0XBg+GwnQCPdsAYDIrH+crLsgnLSEOUErs1XZ+DS2qYzLv0eNvMG5nwLVX2CKsKrm/5l7v53x5+5fc0eMOAL6J+oY7v76Tq9tdzfaJ261jIpZGkF6YXum55vl1b/CbmZnJ5s2beeWVV3Bzc6v0uLe3d7XPnThxIrGxsWzfvr3Kx00mE7fddhtBQUHs2rWLnJycSuXxer2eESNGMHjwYP766y8cHBx4+eWXueGGGzh8+DBabcX+DUuXLuXkyZP07NmTl156CYCAgABMJhNhYWF89dVX+Pn58e+///Lwww8TEhLCnXfeWWV8JSUlODs7Vzjm4uJCcXEx+/btY+jQodbjN998M8XFxXTu3JlnnnmGm2++2XrtkJAQfvnlF4YPH85ff/3F/fffj16v57HHHmPNmjVoWtn7TWEbdi+zb4zXX3+d9evX880331T6JSpv7ty55OTkWD/i4+NtGKW4YLXSMvu72o1i4xXLubvtjYByL+LJR2MYMieDx27uz9H33wFgkkbDsG/XE3DskD3DrbMcXQYAvk6BVT4+d66yNd3EiTYMSghRgbweX2CSk4GybvYUphNc2sneUPVTKjS/s/N6eSjbDcWjljJ7h3Z7YPASLh2Sb4uwWp2YmBjMZjNdu9b/v2lISAht21ZfofHbb79x/PhxPv74Y/r06cNVV13Fq6++WmHMF198gclk4sMPP6RXr15069aNjz76iLi4uCpvEnh5eaHVanF1dbXOkms0GhwdHVmwYAEDBgygffv23HPPPUyaNIkvv/yy2vhGjBjBv//+y+eff47RaCQxMdF6gyApKQkAd3d33nzzTb766it+/PFHrrjiCsaMGcN3330HKM38vvzySxYuXEiPHj3o168fDzzwAK+//jrXXHMNzs7ODBkyhC5durB8+fL6/ojFBcyuWYi/vz8ajYaUlJQKx1NSUggODq7xuW+88Qavv/46v/32G717965xrJOTE05OTo2OV4gKWunMPIDJXPlNy0l3DwAMUcobrTsdHen71ccUdOpCWu9LbBpffcQ7O/JLgDtZAybC36/h61z11nTQ6u67CHHBkdfjC4ylWXF66axrYTpBnmHMuCEEsxnufSGLoLYVs/qE6Cjr5/buZA8wJLOAyAId3fNLahyXp88G7NvNPn9u/W8kODmU/b7d2u1W8ufmV6pgi30ytrGhYW7ENr2vvVb1LjSloqKiCA8PJzS0bGedwYMHVxhz6NAhYmJi8PDwqHC8uLiYU6dO1SueFStWsGbNGuLi4igqKkKn09G3b99qx19//fUsXryYRx99lPvuuw8nJydeeOEF/vrrL9Rq5Wft7+/PjBkzrM+59NJLOXfuHIsXL7bOzl9xxRXs2bPHOubkyZN8/PHHHDhwgKuuuoonn3ySkSNH0rNnT6666qpa8x9xcbDrzLxWq6V///4VmteVNrM7/5e0vEWLFrFw4UI2b97MgAEDbBGqEJW10mReb9JjNJdt/qvTqcgv0HDCQynfM+3bC0Bby4t9S99jPsXJgR2+7pg6jQLA16n6ZL6V/acSQoiWzTIzr9c6gNkEhen4u4ZxfJ8TUXuc0TpVTvDiT5ZP5u0/Mx9SYmBAThEdC6tu1lcqI8EPckPwdvKzUWSVuWnd6v3hoC67i+2gdsBN64aLo0udzlsfnTp1QqVS1XmZbFPLz8+nf//+HDx4sMLHyZMnGT9+fJ3Ps379embOnMnkyZP55ZdfOHjwIJMmTarQWb4qM2bMIDs7m7i4ONLT07nlllsAiIyMrPY5gwYNIiYmptrHH3nkEd58801MJhMHDhzgjjvuIDAwkKuvvpo//vijzt+TuLDZvcx+xowZrFq1inXr1hEVFcVjjz1GQUEBkyZNAmDChAnMnTvXOv7//u//eOGFF1izZg0REREkJyeTnJxMfr6UPQkbmzlTSejPK/Vq6a7ZOgH3r/uxNUVpMvnnDn/6Dx3ODp3lDcqBAwCEWmokW8se8xRn46Jxw8XBtdKYvDwYPx4eegiMxkoPCyGEaAhLMv+/PT/CQke8suNw0brxxo9JPLU8DS//yn9wE8on85262SzUmqjrMKmcsXoNvHWOxGPSeKUqvr6+jBgxghUrVlBQULl5XnZ2doPP3a1bN+Lj460l60ClhnqXXHIJ0dHRBAYG0rFjxwofXl5eVZ5Xq9ViPO9NwT///MPll1/OlClT6NevHx07dqzzzL5KpSI0NBQXFxc+//xzwsPDueSS6isbDx48SEhI1RMmq1evxtfXl5tvvtkao16vt/57ftzi4mX3ZP6uu+7ijTfeYN68efTt25eDBw+yefNma1O8uLi4Cr+8K1dFvB3pAABnGklEQVSuRKfTcfvttxMSEmL9eOONN+z1LYiLlUqlTPW2strtXH0+epMBZ7VSepeb6wieoGtrmbY+eBBnwNtyFzo/uGUn84XWZD6n2ln59HTYtw+2b5fZeSGEaBIGg/LHFTjjqgOziRCvMDQa6D6whIE3FFXqn2oymaxr5v1CwnD18LR11FVSU3M2bzAaMKv0oDLQJbL+TeguFitWrMBoNDJw4EA2bNhAdHQ0UVFRLFu2rMaK27lz5zJhwoRqHx8+fDidO3fm/vvv59ChQ/z1118899xzFcbcc889+Pv7c8stt/DXX39x5swZtm/fzhNPPEFCQkKV542IiGDXrl3ExsaSnp6OyWSiU6dO7N27ly1btnDy5EleeOGFCqXv1Sndiu+///5j4cKFvP766yxbtszatG7dunV8/vnnHD9+nOPHj/Pqq6+yZs0aHn/88UrnSk1N5eWXX+add5QeRj4+PnTr1o0lS5awY8cOtm7dypAhQ2qNSVwcWkQWMm3aNKZNm1blY+c3rahuiwkhRN38c93nnCtMpcSkJOu33nSOwNtKmMwAXNIzKMrMpHTeQe/sgs6z6jvaLUWR2rKvfEk2Pk7+VY7x94clS0CW6gohRBPJyFBKnTQaTF6eRPp2Isy7rKTYZFRVekp6YhwlhcqsbUsosQf4PsgTlRluT8rBX1/1bKfOXEyPFx+gyJBP785HbBxh6xEZGcn+/ft55ZVXePrpp0lKSiIgIID+/fuzcuXKap+XlJREXFxctY+r1Wq++eYbJk+ezMCBA4mIiGDZsmXccMMN1jGurq78+eefzJ49m9tuu428vDzatGnDsGHD8PSs+qbRzJkzuf/+++nevTtFRUWcOXOGRx55hAMHDnDXXXehUqkYN24cU6ZM4eeff67xe//555955ZVXKCkpoU+fPmzatImRI0dWGLNw4ULOnj2Lg4MDXbt25YsvvuD222+vdK4nn3ySp59+ukKPgLVr13L//fezbNkyZs2axaWXXlpjPOLioTI3pmNFK5Wbm4uXlxc5OTnV/oILUavPP4dNm6B/f7CsjWotcvX5JBelWb/+OLAtr7Tthu+/O8kcMphrgG1Adrv2bNjUstdlfR7qzdYAD/jrVa6O+ocPhv5Y7diwMHCtXIUvhLCw9etjs13v9OmyviaieaSnw5o1yucffkgycCT7LNGHHUiKdcA9wIR/aMX/Brs3f8cHc5TJm5sffYqbH33KxkFXNr1HKPkOGt47nEBEkb7GsV3b+dIuuPlvcOv1etLS0ggICLDuQy6EsC9b/17W9fXR7mX2QrRaBw/CF1+AnZq9NMb53eyjXC1/JA4p29CFW4639PXyUL7MPrvGTvYgJfZCCNFk/P3hmWf4Zfly2gAPmU2YzCa2fenOy/cHse3zyuXoZ/4r2+o0okcfGwZbNTNlryFutWxNB6B1lLfNQoiWpUWU2QvRKrXCbvbnClOYc+hNQlwCmByplHZt/D6UPx7wB38o/vcfAL739mH9so9Re7T8tYFFmtIy+xz8nYOqHHPqlNIEz9MTatn1UgghRD0kazScA9pbCj39Qw10u7SY0A6VZ7ljjx60ft6+BSTzJWoVJpXyGuJhqD6Z3/W3C1t/dufWWxyZXnmJsxBC2I3cYhSioVphMn8qP55PYjfxVdxm67EftweTEaIsJi/8608AfEPDKQgMJq99B7vEWR/lu9n7OgVWOWbtWrjrLnj/fdvFJYQQF7SkJEhJoXTB1tFTv5BRkMqtj+Wy6IckrhhTsaO50WDgbNRRAPxDw/Hwtd8Wb6VKZ+U1JjNOpupXnf6y5wx/bnXnve932So0IYSoE0nmhWio0mS+FXWzjy9UdoYIdilrFHfHqERGTk7ipvf2wtmzAAQEtwFN6/jzUKGbvXPVyby7O7RpA+HhVT4shBCivt54A666ioS9yhZhOZkn8XBS1pNX1fwu6UwMuuIiACJ69LZdnDUoKldiXzniMgG9DsCI6YRc9rdtAhNCiDpqPVmIEC1NK5yZTyhU9gQOKtf1/YZhKVxxWTqf/HbAemxmciIdVy8nauIjFLTwrelCivWU6PO5NngsfbwHVTlm9myYNw/atbNxcEIIcaFKTQUgN0BZuzQi4lq0DkqVl8FQOTWObWHr5QEKLMu0alsvf89VgxkxOJyre3W0RVhCCFFnkswL0VCtcGY+oSgFgEDniuWNOp2a5NRz1q9HnjqJ67HDxNxxj03ja4iH4zJxMZoJ972ZIPeq18xDq7rnIoQQLV+ycnM409sHgB5e7cg4k81T14fiF2pgxvtpqMrl9GfKr5fv2deGgVavtLLLvYb18gAeWm8CPL3pFtDeFmEJIUSdtZ4sRIiWphXPzAc7KzPzScnOoDVjNKhISUoEwB1wLSkGaPGz8qU0ZjMadc3/HVrRPRchhGjZzGZrMp/urjRKdTfpOXfakdQEB0xmKiTyUNbJXqVS0a5bT5uGW52iOnayjz6uJSzMhMkE6taxAk0IcZGQt7dCNNT778Pbb0Nior0jqbPz18y//mMXNr8WTMd9eTglJQBl29KVuHugd2v53ex1xmL2Jv9Ojks4V7vegOq8d5AFBfDggxASAt98A7JlrxBCNFJ2Nuh0AJymBHAmL/MUAy4JZNnWRBLOVPxDqy8pJjFa2cY1pH1HnFvIa0vZzLyx2jF6PTw+sQ0Au0+e4dJOMjsvhGg5JJkXoqGcnZXp3vR0e0dSZwmFSpl96cz8ycvdwRv0YWryLDPzkY5a0OsoCAqxV5h1ZgQS9Km8sW8KbhpX9t+RW2lMRgbs3w+urpLICyFEk0hRXkvw97d2s09NOYw2chid++lw9zdRvjl83IljGC3VbC1lvTyAg8mMf4kBf131yXx+rhqNVxLGQg8yVdGAJPNCiJZDknkhGsNc/VY2LY3OqCOlWLnxEOwcgAkouVOZlbgmN4lPUpQ18908vSAjrVUk88lODrzaZwiaXml0WzumyjG+vrB0KWi1to1NCCEuWJYSe2NYGHonDwDauXgrx4xw/i5v5ZvftZT18gBXZxZwdWYBbYoN1Y7x8TPhPacfGUWp+LvusWF0QjTexIkTyc7O5ttvv7V3KKKZyMofIRpq6VJ4+GHYu9fekdRJUnEaZsxo1Y74ar3Y7+5NopMrrgYDkSdOWGdNOrm4Aq1jvXxpiWSA2p0Pr95c5Rh3d7jhBpgwwZaRCSHEBSw0FCZPRn/XXThsnw873qSdcwBfLfPinx9c0esqDm+JnexLqczUuC2d2WwmV58FajN+rn41jBQAycnJPP7440RGRuLk5ER4eDijR49m69at1jEREREsWbLEfkGKJjd06FCmT5/eqHPk5eUxffp02rVrh4uLC5dffjl79lS8gTZx4kRUKlWFjxtuuMH6eElJCffddx+enp507tyZ3377rcLzFy9ezOOPP96oOFsamZkXoqF++QV++gm6dIEBA+wdTa1Km9+FOAegUqn41k9ZAzgoNZOcxDjruHaWhn75oS1/U/bS5kWuRhMaVc0N8FpRn0IhhGjZOneGZ54hO9AVw9Jw1Co1zredYPWLvqjUZt7dkVBh+JmjSjKvcXAkrHNXe0RcrdpmtUpMxehNyt0JPxdJ5msSGxvLkCFD8Pb2ZvHixfTq1Qu9Xs+WLVuYOnUqx48ft3eIdqHT6dBKeWCtHnzwQY4ePconn3xCaGgon376KcOHD+fYsWO0adPGOu6GG27go48+sn7t5ORk/fyDDz5g37597Nixg59//pnx48eTkpKCSqXizJkzrFq1ir2tZBKurmRmXoiGamXd7ONLO9m7BFCsUrPJTSmjD/67mLSksjden944lvWf/ciJW++yS5z1UVRuWyF1NS2GT5+GAweUtfNCCCGaiEpFbL7y2hHoHgImJ4bdlUf/YUU4lr23pjAvl+TYUwCEd+mOo9apqrPZhQllZr4mm77Wwlfr0ZwYi7vWvo37CgqUj/Ir/HQ65VhJSdVjTeUa9ev1yrHi4rqNra8pU6agUqnYvXs3Y8eOpXPnzvTo0YMZM2awc+fO+p+wHJVKxYcffsitt96Kq6srnTp14rvvvqsw5o8//mDgwIE4OTkREhLCnDlzMBjKllAMHTqUJ554gmeeeQZfX1+Cg4N58cUXK11n5cqVjBw5EhcXFyIjI/n6668rjJk9ezadO3fG1dWVyMhIXnjhBfTlfmAvvvgiffv25cMPP6R9+/Y4OzsDsHnzZq644gq8vb3x8/Pjpptu4tSpU9bnxcbGolKp+PLLL7nyyitxcXHh0ksv5eTJk+zZs4cBAwbg7u7OyJEjSUtLoz4WLFhAQEAAnp6ePProo+h0ZeUzJSUlPPHEEwQGBuLs7MwVV1xRaUa8pp/txIkT+eOPP1i6dKl1tjw2NpasrCzuueceAgICcHFxoVOnThWS8PKKiorYsGEDixYt4qqrrqJjx468+OKLdOzYkZUrV1YY6+TkRHBwsPXDx8fH+lhUVBQ333wzPXr0YOrUqaSlpZFu6W312GOP8X//9394enrW62fX0kkyL0RDtbJ95stvS7fNOwCdqwbOgtdRHanlknn/0HAK2oRT7Bdgr1DrrFCjFEeeSNnO59Erqxyzbh3cfTe8954tIxNCiAvYqVOQmkpM2gkAQjzDCQo3MGtlOk8srXjn9GzUEevn7VtYif3CzkE83LsNhzydqx1z9LAz/HcXzrm9Ku2WYmvu7spH+b67ixcrx6ZNqzg2MFA5HldWeMeKFcqxyZMrjo2IUI5HRZUdW7u2frFlZmayefNmpk6dipubW6XHvb29q33uxIkTGTp0aK3XWLBgAXfeeSeHDx9m1KhR3HPPPWRmZgKQmJjIqFGjuPTSSzl06BArV65k9erVvPzyyxXOsW7dOtzc3Ni1axeLFi3ipZde4tdff60w5oUXXmDs2LEcOnSIe+65h7vvvpuocj8cDw8P1q5dy7Fjx1i6dCmrVq3i7bffrnCOmJgYNmzYwMaNGzl48CAABQUFzJgxg71797J161bUajW33norJlPFrRHnz5/P888/z/79+3FwcGD8+PE888wzLF26lL/++ouYmBjmzZtX68+r1NatW4mKimL79u18/vnnbNy4kQULFlgff+aZZ9iwYQPr1q1j//79dOzYkREjRtT5Z7t06VIGDx7MQw89RFJSEklJSYSHh/PCCy9w7Ngxfv75Z6Kioli5ciX+/v5VxmgwGDAajdYbH6VcXFz4+++/Kxzbvn07gYGBdOnShccee4yMcrM1ffr04e+//6aoqIgtW7YQEhKCv78/n332Gc7Oztx66611/rm1Fq0jCxGiJWplM/Md3Ntye/gIenh1YpOfsh6+57FsOnXLZ8/vZdvrBYSGgaZ1/GkonZkvKUjCaK66gZG7O7RpA+Etf9WAEEK0Dk8+CdHRfP7LIuh9L22cfa0PnT+je+boQevnLW29fKFGjU6jxslY/fR83+uOscdxMQE9420YWesTExOD2Wyma9f6L6MICQmplNBWZeLEiYwbNw6AV199lWXLlrF7925uuOEG3n33XcLDw1m+fDkqlYquXbty7tw5Zs+ezbx586zVe71792b+/PkAdOrUieXLl7N161auu+4663XuuOMOHnzwQQAWLlzIr7/+yjvvvMO7774LwPPPP28dGxERwcyZM1m/fj3PPPOM9bhOp+Pjjz8mIKBsYmTs2LEVvp81a9YQEBDAsWPH6Nmzp/X4zJkzGTFiBABPPvkk48aNY+vWrQwZMgSAyZMns7Yed1u0Wi1r1qzB1dWVHj168NJLLzFr1iwWLlxIUVERK1euZO3atYwcORKAVatW8euvv7J69WpmzZpV68/Wy8sLrVaLq6srwcHB1uvGxcXRr18/BliWokZERFQbo4eHB4MHD2bhwoV069aNoKAgPv/8c3bs2EHHjh2t42644QZuu+022rdvz6lTp3j22WcZOXIkO3bsQKPR8MADD3D48GG6d++Ov78/X375JVlZWcybN4/t27fz/PPPs379ejp06MCaNWsqlO+3Vq3jHbsQLVErm5m/Nfw6bm5zLbuKk3nZS7kzOjnoDB5qo7XM/lKVmrvWLCd1wGCOTXzEnuHWSWkDPEpy8HGqupJg1ix4/nlo186GgQkhxIXM0s3+jz43QeAszNGbKSlSoXE0V9rkJfa/w9bPI3r0tmWUtbLuM2+sfmu6gC4noXgZbcKH2CqsauXnK/+6upYdmzULpk+v/FYkNVX518Wl7NjUqfDQQ5XnIGJjK4+dOLF+sZkbsbvPa6+9VqdxvXuX/f/j5uaGp6cnqZZvNCoqisGDB1eonhgyZAj5+fkkJCTQtm3bSucA5UZC6TlKDR48uNLXpbPrAF988QXLli3j1KlT5OfnYzAYKpVut2vXrkIiDxAdHc28efPYtWsX6enp1hsYcXFxFZL58jEGBQUB0KtXrwrHzo+5Jn369MG13P80gwcPJj8/n/j4eHJyctDr9dYbBQCOjo4MHDjQWo1Q15/t+R577DHGjh3L/v37uf766xkzZgyXX355tXF+8sknPPDAA7Rp0waNRsMll1zCuHHj2Ldvn3XM3Xffbf28V69e9O7dmw4dOrB9+3aGDRuGo6MjK1asqHDeSZMm8cQTT3DgwAG+/fZbDh06xKJFi3jiiSfYsGFDHX+KLZeU2QvRUK1sZh7AYDZy1M0TjdlMt4JcAnJ1mM1mazJ/pYcHHf7eRtief+wcad0Ula6TL87Bzzmw2nGt6D+REEK0bAUFkJdHQnAgBYHdALjW0Y1xXdoy6ZJwMlMq/sEt7WTv5OpGSPuOlU5nLyagWK0kJ+6G6meFc/VZQMtofufmpnyUr/bXapVjTk5Vjy3fTsbRUTl2XiVztWPro1OnTqhUqmZtcud4XlAqlapOM/pNeY4dO3Zwzz33MGrUKH744QcOHDjAc889V2ENOlDlUoPRo0eTmZnJqlWr2LVrF7t27QKo9NzyMZYm0Ocfq+/3bQ8jR47k7NmzPPXUU5w7d45hw4Yxc+bMasd36NCBP/74w3qjYffu3ej1eiIjI6t9TmRkJP7+/sTExFT5+O+//85///3HtGnT2L59O6NGjcLNzY0777yT7du3N/ZbbBEkmReioVpZMp9ekonOpGNoTjpvrTnE6N/OkZfnSEFeDkWFBQD0dlJe4bNb0BuumhRZ1sxTnC3JvBBC2EJKCgBrx90IgDrlMP65bSnMV5OVqsHLr2yWOyc9lczkcwC069YLdQv6Y1ykUWG2JEpuxqoTI50OTkV5Qk4b2ZauFr6+vowYMYIVK1ZQUFBQ6fHs7OxmvX63bt3YsWNHhQqBf/75Bw8PD8LCwup1rvOb9e3cuZNu3ZQbV//++y/t2rXjueeeY8CAAXTq1ImzZ8/Wes6MjAxOnDjB888/z7Bhw+jWrRtZWVn1iquhDh06RFFRkfXrnTt34u7uTnh4OB06dECr1fLPP2WTOHq9nj179tC9e3egbj9brVaLsYoKl4CAAO6//34+/fRTlixZwgcffFBrvG5uboSEhJCVlcWWLVu45ZZbqh2bkJBARkYGISEhlR4rLi5m6tSpvP/++2g0GoxGo7VRoV6vrzLe1kiSeSEa6tdfISYGBg2ydyS1MpgMBH0zBP+Nl5FRks07b3Ri0ZiuHN7tSWpS2Xr5rpa/0zmtJJkvX2bvW0WZfVERjBsHDz5YudOvEEKIBrAk89/fpKyvDUw5QlC4ia9OnWX+5ykVWq6cPnLQ+nlLa35X+vrhZDThWE2FeHKiIz/PfxLePYq/a9WNu0SZFStWYDQaGThwIBs2bCA6OpqoqCiWLVtWqXS9vLlz5zJhwoRGXXvKlCnEx8fz+OOPc/z4cTZt2sT8+fOZMWNGtbvdVOerr75izZo1nDx5kvnz57N7926mWToMdurUibi4ONavX8+pU6dYtmwZ33zzTa3n9PHxwc/Pjw8++ICYmBi2bdvGjBkzGvS91pdOp2Py5MkcO3aMn376ifnz5zNt2jTUajVubm489thjzJo1i82bN3Ps2DEeeughCgsLmWzplFiXn21ERAS7du0iNjbWuoRg3rx5bNq0iZiYGP777z9++OEH602RqmzZsoXNmzdz5swZfv31V6655hq6du3KpEmTAMjPz2fWrFns3LmT2NhYtm7dyi233GJt2He+hQsXMmrUKPr16wcoSwM2btzI4cOHWb58eYWlBa1Z61jsK0RL5Our1LUlJtY+1s5SijMwm82YMePt6ElgWDGpGU5EdCok5lhZJ/uIEuXObXb7DvYKtV6uTUzk6NYFEP8vPp0rJ/MZGbB/v/KfSbZ4FUKIJpCcjEml4vCAoQD0KFI6SXv4mGjbTY++XMXwsR1/Wj/v2O9SW0ZZq9JkvrpZeYCiIhVOPmmUaBMlma+DyMhI9u/fzyuvvMLTTz9NUlISAQEB9O/fv9L2YuUlJSURV77tfgO0adOGn376iVmzZtGnTx98fX2ZPHlyhWZ1dbVgwQLWr1/PlClTCAkJ4fPPP7fOUt9888089dRTTJs2jZKSEm688UZeeOGFSlvcnU+tVrN+/XqeeOIJevbsSZcuXVi2bFmduvg31rBhw+jUqRNXXXUVJSUljBs3rkK8r7/+OiaTifvuu4+8vDwGDBjAli1brFu+1eVnO3PmTO6//366d+9OUVERZ86cQavVMnfuXGJjY3FxceHKK69k/fr11caZk5PD3LlzSUhIwNfXl7Fjx/LKK69YlxhoNBoOHz7MunXryM7OJjQ0lOuvv56FCxdW2Gse4OjRo3z55ZcVeh3cfvvtbN++nSuvvJIuXbr8f3v3HR5VlT9+/H2npheSkEJCCSW0UKWroHSEBfWnwLIuumJZwd6/KyC6CAoooCyyqBQLiCK6NhSQonQpSu8QWoBAept2f3/czCRDEjKBtIHP63nyJLlz7r3nzJ2555x7Gp999lkFvLvVT1GvZcYKL5WRkUFwcDDp6enX3VqDooplZ3tFZR7ggE7lO3sqt2VncsHoQ3qGgYxMI98v+pCvF76PD5CNgg6VT3/ZTl6tml9wOZt5mLGrbifAGMy2/5dW7PWsLFi/Xhv79+ijVR8/IbxNVeePlXa+o0cLh0KJivX+++xYvZp2O3agt+Ywbu9XdKrbDVWFM6cMbhPgvTzwZi6cSkJvMDBj7Z/4+FfvOu1F7QswM61hbeJyLcz9s/R8/MMDk9l2aTX/7jmB4YnDqyRuVquVCxcuEBERUWyMt6hciqKwbNkyhgwZUt1RETVMVX8vPc0fpWVeiKs1bhxcuAD33qutfVbDvRseyayQBAZePMOYM0ewWnUoCq415hsDOlTyA4PJC/WOsYGZ+VqLUC1zyQ8eAgKgb1+vuDxCCOEd2rThp4LuqbfqTHSq242Fb4TgG+igxS15BNXSWrrPJR3nwimttbVRmw41qiIPRWayv8LkdwAPJrzEG/H/R6MIWRJFCFHzSGVeiKs1fz6cPAm9e9f42uIlnY55BU/1uqZrFWCLVZuIKCVZa5GoA9gNRtLqx7tPlVuDOSvzpS1L5+QlqwcKIUTN17kzy+PiAGhnz8Nugy9mhmC1KEz67gwULDm/Z8Ma1y4tu3WvhohemSfd7J3MppozcZ8QRQUElP6Q7Mcff+SWW26pwtiI6iBFXCGulhetM/+A7Tg5ukbEZJxjwZB6fGSrz19HJ1G3US4XCibA+y04hAWf/YjZ5B1d+uzAuoYtwfQCoSdKXpLk6FFIS9OW3Knhz1uEEMIrZCoK63208altLdlY8xWGPp3G0T0mwmIKZ4fevWGt6+8WXWpeZb5hdj5/PZVKgxxLqWHmzw7lzGkDTz+fR1yfKoycqDbeNvq46Jjwy9WRgs8NoebXQoSoqbxkaToL8HNdbSbPhn+uZuvhe8jL1RMQbMOSn0dqynkAakfHohoM5EWUvsRbTZKr17EnoRskdKPWJ4+UGOaTT+DTT+H//g8mTqziCAohxHUo8+BB6tgPc8LXn80nfuWOxL/ytxfTuHhBT26u1qvLasln/5YNAASHRxCX0Lw6o1yimHwbMflZxOSVPrfC9q0+HNzrw+H6L9L9ln8T6htahTEUomyNGnnH6kOi8sjSdEJcLS+pzC8KCiLPLwwyTnNz9hHm/7CVR146Qq0IK6ePH3GFqx0TV+PTUpRrjXlLNrVLGTMfGAhxcVC3bhVGTAghrlcWCzEDBxI/eQDM707dWoUVCau1cHjW4R1bseRpq6M073wrSg0eunWlgvBdI09Bvyc5E/Ad/ib/KouTEEJ4SlrmhbhaXtDNXgXeLlhahC3vEuXTAP9AGx16pAJwaPdOABRg/r4/0U9+hY3jJmMJCqmO6JZLbsF4Rz+7g9vqDCoxzNNPw4svQv36VRgxIYS4Xl24AMCqRSbWnDtIti2PcycNhITb3RYPKNrFvmW3HlUcSc/pyuhRffMtDubd3ItatXpi0sv6pkKImkda5oW4Wl7QMr/Cz48/zWawZMHGhYT71iYzq/Dhw6E9OwFt8ruEs6eJX/0zVl/vaH3I0Wm3rzB8aBPeudRwNfhZixBCeJfkZAAc0dGYjH4Y9SbG3hPJnXH1OLitcJ1nZ2VeURSad66ZE3D9HuzLmjB/zppLzyQMOiPNIprRo0GPKouXEEKUhxRzhbhaXtAy/5azVX7rAnhrOx9shrv+cRZffzuqqnJ4zx8AtPbxhbxcMurEoXrJmra5rpmIr9y0UoOftQghhFf5xWjkwr33cmtGBvn2fOw2yEjV43AoRMRqeWLa+WROH9oPQL3mrQgMrVWdUS7ViohAjvibqZtrJTq/+Lj5zAwdp5KMJDTPR19PMhIhRM0kLfNCXK2DB+H33yGsZq7JvtNsZpW/PzrVAZ/shqwo9v0RjNlHm2343OkkMtO17vbdIqMBSG/QsNriW145BWPm1bxULPb8Yq9bLDBsGIwaBbm5VR07IYS4vqjAc126MOzzz+k6uhO7Tm9Fb4BF+5OYveE0IbW1vGX3hnWufWpyF3vnA+GAUpam273Th6dHxTDy7wZWHl1ZlVETQgiPSWVeiKtVvz7Uq1djW+Zb5eez7PRpBh7bClHvE//scEaMPomuoIHBOV4eoE1B1/r0Bt4zK2pOwd3rQPJq0iyXir2ekgI7dsCKFeDjU8WRE0KI68xvvr7sqFMHLDkc3/suxoIx5IoCQWEOnHPc7S6yvnyLLrdWQ0w943wgHGAruTJvt4N/WBoXjJtZtHtRVUZNiBLVr1+f6dOnX/Nx5s+fT0hIyDUfR9QMUpkX4lrkF28Rril0QN+cHFru/x6A6MYpNGub4XrdOV4eoJG9oHtkfe+pzGcpWgHM364SWsJs9sHBMHMmTJ8ONXgiZSGE8AoznIX/XZ/gk5dFvVqNUVVQVbAUZIUOu529m34FwDcgiPjEttUTWQ/klNEyf/NtOQx65xUYeg/hfiWvmCKKS05O5vHHHyc+Ph6z2UxcXByDBg1i1apVrjAVVSn1dsePH0dRlCuuFV/U1q1befjhhys3UhXo1VdfpU2bNtd8nFmzZtGsWTN8fX1JSEhg4cKFbq/Pnz8fRVHcfnwua8WZOnUqtWvXpnbt2kybNs3ttc2bN9O+fXtsttKXqazJamaTohA13TvvaN3se/aEVq2qOzaluqjTcypVm304QOe+frxzvLzBaCI69SLgXd3sLUbtRn1XzF0YU4uP8/f3h759oU6dqo6ZEEJcX5IMBpYFBGj/bJ5J48hEMi+aebpvDJ0H5DBgVAY6PRzb8wc5GekANO98M/oa2nPNqoClYBJV/1Ja5gEyrdpQtDDfmjmcrqY5fvw43bp1IyQkhClTppCYmIjVauWnn35i9OjR7N+/v7qj6MZisWAy1fxVCpzxjIiIqO6oVLnZs2fz8ssvM3fuXDp06MCWLVt46KGHCA0NZdCgwpWMgoKCOHDggOv/osth/vnnn4wbN47vvvsOVVUZOHAgffr0ITExEZvNxqOPPsp///tfDDX0flUWaZkX4mp8+SW8/z4cP17dMSkmTafjkk5HvqIw5+NgFj/2Bmx6gmBjpCtM+qUUzp85CUCTRk2x+fji0OtJq+89lXmjqhJktVPLfuVwMgGeEEJcm1khITgUhfAzf8CFPTSNac9v3/qTfMLIrvU+ruFb21f+6NqnRdfu1RTbsjnHyyuqin8pLfMAmbY0AML8akZlPtvDH+tl+1nLse+1eOyxx1AUhS1btnD33XfTpEkTWrRowTPPPMOmTZuu6diKojB79mz69++Pr68v8fHxfPnll25hXnzxRZo0aYKfnx/x8fGMHTsWq7Xw3XC2FH/wwQc0aNDA1Xq7fPlybr75ZkJCQggLC2PgwIEcOXLEtZ+zBX3JkiXccsst+Pr60qFDBw4ePMjWrVu56aabCAgIoH///lwoWL7R6YMPPqBZs2b4+PjQtGlT/vOf/7hea9CgAQBt27ZFURR69OgBwP3338+QIUOYOHEiMTExJCQkAMV7NKSlpfHII48QGRmJj48PLVu25LvvvvP4Pf36669p3LgxPj4+9O3bl5MnT7q9Pnv2bBo2bIjJZCIhIYGPP/7Y7fWkpCQGDx5MQEAAQUFB3HvvvZw7dw7QWssnTJjAH3/84Wotnz9/Pqqq8uqrr1K3bl3MZjMxMTE88cQTpcbx448/5pFHHmHo0KHEx8czbNgwHn74Yd588023cIqiEBUV5fqJjCws8+7fv59WrVpx++2307NnT1q1auV6sDRlyhRuvfVWOnTo4PH7VtN45yMIIaqT3Q7OLlEtWlRrVEoyLTSUd0JDefniRVb87IclwxcUB7VM0a4whwpa5QHqJbZl6T/GoPMx4QgOqYYYX527ktO552w6bY3hUMIE/AsXQvv20Mh7Rg4IIUSNk60ozA0OBiD11wkAdG8yiLo3ZRFa205mhlYxzsvOYt1X2thyg9FE6+69qifCHnB2sfe1q6W2ak2ZEM6fyc9Ct8M1pmU+wMNw7wGji/z/X2CMh/teeX2Y0l26dInly5czceJE/P2LL3F7pTHa999/P8ePH2fNmjVXPMfYsWOZPHkyM2bM4OOPP2bYsGHs2rWLZs2aARAYGMj8+fOJiYlh165dPPTQQwQGBvLCCy+4jnH48GGWLl3KV199hb7gaX92djbPPPMMrVq1Iisri3HjxnHnnXeyc+dOdLrCT8j48eOZPn06devW5R//+Ad//etfCQwMZMaMGfj5+XHvvfcybtw4Zs+eDcCnn37KuHHjeO+992jbti07duzgoYcewt/fn5EjR7JlyxY6duzIypUradGihVsvgVWrVhEUFMSKFStKfC8cDgf9+/cnMzOTTz75hIYNG7J3715XmsqSk5PDxIkTWbhwISaTiccee4xhw4axfv16AJYtW8aTTz7J9OnT6dWrF9999x0PPPAAsbGx3HbbbTgcDldFfu3atdhsNkaPHs3QoUNZs2YNQ4cOZffu3SxfvpyVK7UJJIODg1m6dCnvvPMOixcvpkWLFiQnJ/PHH3+UGs/8/PxiXeZ9fX3ZsmULVqsVY8EKTFlZWdSrVw+Hw0G7du144403aFFQRk9MTOTgwYMkJSWhqioHDx6kZcuWHDlyhHnz5rFt2zaP3rOaSirzQpTXgQOQk6P1465fv7pj4yZLUZgVEkK2Tkeww8FHC5Lp+soM0pu9R6jpI1e4w0XGyzduqY1pdHjJ+vJO645/xnf7Z/CXusN4uf3bbq+dOQMTJ2pj5ZOToXbtUg4ihBDiij4NCiJVryf04mlSD3xDs8g2NKrdAlBpd3suly5qlYffvv6c3CxtXpZOA4YQHFZzuwTnuJY2LblV3maDjev8ycm+HToba0zLfE12+PBhVFWladOm5d43Ojoah6P0HhJO99xzD6NGjQLg9ddfZ8WKFbz77ruu1u5XXnnFFbZ+/fo899xzLF682K0yb7FYWLhwoVuX9bvvvtvtPB999BERERHs3buXli1burY/99xz9O3bF4Ann3yS4cOHs2rVKrp16wbAgw8+yPz5813hx48fz7Rp07jrrrsArSV+7969zJkzh5EjR7riEBYWRlRUlFsc/P39+eCDD0odBrBy5Uq2bNnCvn37aNKkCQDx8fFlvYUuVquV9957j06dOgGwYMECmjVr5nrAMHXqVO6//34ee+wxAFfviqlTp3LbbbexatUqdu3axbFjx4iLiwNg4cKFtGjRgq1bt9KhQwcCAgIwGAxuaUtKSiIqKopevXphNBqpW7cuHTt2LDWeffv25YMPPmDIkCG0a9eObdu28cEHH2C1WklJSSE6OpqEhAQ++ugjWrVqRXp6OlOnTqVr167s2bOH2NhYmjVrxhtvvEHv3r0BmDRpEs2aNaNXr1689dZb/PTTT7z66qsYjUZmzJjBrbfW3Ik7SyKVeSHKa/t27Xfz5jWuD/eEsDBS9XriLRZ65uSQlaujd788Tuf0Jdxc2DJ/sGAme0VRaNgsUdtYw9JSltTcZC7lnSXXnlPstbw86NcPHA6pyAshxNVSgZkFLar6tVNAddCv+b2u13MLlhWx22ys/LTwgXGf+x6qymiWW1mVeb0eJr17lpfm/4/c8AM1pmU+y8Nwl1f/Hgbur9ioFKOqV9umr1WuPNGlS5di/xedPO7zzz9n5syZHDlyhKysLGw2G0FBQW771KtXr9jY80OHDjFu3Dg2b95MSkqK68FCUlKSW2W+VZE5kpzduBMTE922nT9/HtBa+48cOcKDDz7IQw8Vfh9sNhvBBT1driQxMfGK4/l37txJbGysqyJfXgaDwa1redOmTQkJCWHfvn107NiRffv2FZtsr1u3bsyYMQOAffv2ERcX56rIAzRv3tx1jNK6rd9zzz1Mnz6d+Ph4+vXrx4ABAxg0aFCp49XHjh1LcnIynTt3RlVVIiMjGTlyJG+99Zar10SXLl3cPhtdu3alWbNmzJkzh9dffx2ARx99lEcffdQVZsGCBQQGBtKlSxcSEhLYunUrp06dYtiwYRw7dgyz2Vyet7NaSWVeiPJydsdp3rx643GZjT4+TAsNBaDjl7nY2iukZugY1ehfZFizyLBqo+HycrI5efQgADH1GtL3w5mEHj/CjjHPc+rm26ot/uVx1mzgomIBIMyneG09Pl6byb6h90wBIIQQNc5vvr7sMZvxzcsl5eA8Au0Gujf9C+89F0Z8q3wSOuVj9lXZ8ctyUgrmYWnRtTt1GiVUc8yvzKoo+NkcROVdPrpcoyiQ0NyC2ucZsNlqTMv81fafM1LiaLQK1bhxYxRFqbZJ7jZu3MiIESOYMGECffv2JTg4mMWLFxebubykIQCDBg2iXr16zJ07l5iYGBwOBy1btsRisbiFc3bphsIJ1i7f5nwQkJWlPXqZO3euq/XbyZOu8CXFsyhfX98yj1ETxcXFceDAAVauXMmKFSt47LHHmDJlCmvXrnV7L518fX356KOPmDNnDufOnSM6Opr//ve/BAYGljohoNFopG3bthw+fLjE11NSUpgwYQLr1q1j8+bNNGnShMaNG9O4cWOsVisHDx50e0hT08kEeEKUl7NlvmCMVk2QqyjcHxWFqiiYFjtYPCKYjxcG4XxQblMLZ4k7sn83akFm07x5K+pu+pXa+3ej6rynZf6zOqFsuGcmtBxOLZ+Sb+b+/qCTO5wQQly1m3NzWXnyJE2XvAj5GQz060DKiSC++yiI954Nx5KroKoqP38817VPTW+VB2ibkcv0PacZc/xiqWEUUy55tjxAZrP3RK1atejbty+zZs0iO7v4VHppaWnXfI7LJ9HbtGmTa7z8hg0bqFevHv/617+46aabaNy4MSdOnCjzmBcvXuTAgQO88sor9OzZk2bNmpGamnrNcY2MjCQmJoajR4/SqFEjtx/nxHfOlne7vYyZfEvQqlUrTp06xcGDB68qfjabjd9//931/4EDB0hLS3O9n82aNXONn3dav349zQsaspo1a8bJkyfdJs3bu3cvaWlprjAmk6nEtPn6+jJo0CBmzpzJmjVr2LhxI7t27bpifI1GI7Gxsej1ehYvXszAgQPd5jMoym63s2vXLqKjo0t8/emnn+bpp58mNjYWu93uNkmizWa7qutRnaRlXojyUFVw3uRr0OR348LCOGgyEWWzMfxoBj829+fWntn8fGYJ7cN6kF+kJ+Gh3Ttcf99tMOKbdons8Nqc6di1GmJefll6HQcCzFrTyenNRLe81+3148chNBQuG34mhBCinBQg5tR+dh1+F/TQq+vD+Ac7eGDcJU4fMxJYy8Hhnds4ukvLV+o0bkrzzrdUb6Q9FGRzEFLCsnSrf/LnVJKR3vemAKBX9ASZg4qFE8XNmjWLbt260bFjR1577TVatWqFzWZjxYoVzJ49m3379pW438svv8zp06eLrR9+uS+++IKbbrqJm2++mU8//ZQtW7bw4YcfAlrPgKSkJBYvXkyHDh34/vvvWbZsWZlxDg0NJSwsjP/+979ER0eTlJTESy+9VP7El2DChAk88cQTBAcH069fP/Lz8/n9999JTU3lmWeeoXbt2vj6+rJ8+XJiY2Px8fHxqAs+QPfu3bn11lu5++67efvtt2nUqBH79+9HURT69etX5v5Go5HHH3+cmTNnYjAYGDNmDJ07d3aNX3/++ee59957adu2Lb169eLbb7/lq6++ck1m16tXLxITExkxYgTTp0/HZrPx2GOP0b17d2666SZAm7fg2LFjriEBgYGBLFq0CLvdTqdOnfDz8+OTTz7B19eXevXqlRjPgwcPsmXLFjp16kRqaipvv/02u3fvZsGCBa4wr732Gp07d6ZRo0akpaUxZcoUTpw44ZpfoagVK1Zw8OBB1/4dOnRg//79/Pjjj5w8eRK9Xu9aPcBbSLuVEOWhKPDnn9oa8zWkD3fR7vWvpqRwd98sJr19gaS8Pby9/zke3HgrubbCceWHi8xk3++wlrEeHDIM1UvW19wZ7ItDUeDsDnwzztE1qrfb66+/Dl27wrffVlMEhRDCS9mBV8PCOGI04gDO6PUs3PgfbHroeMFMncTuhEQ4uOeJdIY+lwbg3ir/t4fc1neuyfxKGS//1aJgPv0wlN/WaDNoh/qGek2aqlt8fDzbt2/ntttu49lnn6Vly5b07t2bVatWuWZ4L8nZs2dJSkoq8/gTJkxg8eLFtGrVioULF7Jo0SJXK/Bf/vIXnn76acaMGUObNm3YsGEDY8eOLfOYOp2OxYsXs23bNlq2bMnTTz/NlClTPE/0FYwaNYoPPviAefPmkZiYSPfu3Zk/f76rZd5gMDBz5kzmzJlDTEwMgwcPLtfxly5dSocOHRg+fDjNmzfnhRde8LhV2c/PjxdffJG//vWvdOvWjYCAAD7//HPX60OGDGHGjBlMnTqVFi1aMGfOHObNm+daPk9RFL755htCQ0O59dZb6dWrF/Hx8W7HuPvuu+nXrx+33XYbERERLFq0iJCQEObOnUu3bt1o1aoVK1eu5NtvvyUsrOTeL3a7nWnTptG6dWt69+5NXl4eGzZsoH6RCahTU1N56KGHaNasGQMGDCAjI4MNGza4PhtOubm5jBkzhjlz5rha9WNjY3n33Xd54IEHmDhxIgsWLPC6IQyKei0zVnipjIwMgoODSU9PLzYxhhAeOXMGsjydiqby5CoK9UMbcD7cwJC0TJ45nEZOrvbanrStzD08kSBjOA83ngho3YeeuLsHlvx8OtSKYMulCzh0OpZ8v57s6DrVmBLPzWgQzq4gX/jlFQYmHWNa109dr9lscM89sHevtujAVc4LI8QNq6rzx0o739Gj2g1BeCxZr+e+qChW+vuTmJ/P0tOnURWFT9+5m5l+Oxib3YUWr2n32+wsHamXdJw/eZx//aU7qqoSHB7B5B82YDTV3ImjrAr8EeRLu7Q86uYXHy+vqrDmZ3/WrAjgb699y+PrhtEkrAkHxhyo2nharVy4cIGIiIgSxxHfiBRFYdmyZQwZMqS6oyJuUFX9vfQ0f5SWeSGuRl5edccAgBSLjhSbHs5A3Vk2V0UeoEVIB6a0+5IHGo53bTvw5zYs+fkAPFEwucqpLt29piKfo1PYG1Cw3ui+pdzZYKTb6wYDLFsGO3dKRV4IITz1s58frevVY6W/P34OB/9IT0ctaI1+ebWVM9Og800jmDo6nD9+9SEnW4fD4WDpjMmuWcxvH/ZAja7IA+wO9OX9+uFMSIgscT11RYHb+mYz57PTBNey0LhWY5qESWYihKi5pDIvRHn8v/8HvXrBjh1lh60kRebpIM5oZ9SqdPouyqL/LcV7CuTa8zDqtAlWLPl5fDbrLUBbtmZwirZ8yoF7RlR6nCvKH0G+2HUKXNhLWGYqXSJ7lhiuyEoyQgghSmEFXg4Pp29sLOcNBprm5/PlmTMMyM52VdKTvvqKPYsX8MmxO1m5KJBXR0Ry8byOb/4zjW0rfwDAxz+A7vf8rRpT4plNoX4AdEzLobSO8wajiq+fSqfYTnz31+/48p4vqy6CQlSA/v37ExAQUOLPG2+8Ud3RExXMOwbJClETqCqsXAnp6fD449UShZkrgpm4Moyvh52hXWIe+zJN3FU3E+q6h9tw4ScSQzqRYy+s+X+98H3OndbGpNVNaMnGe/5O/NZfOXnz7VWZhGuyPaRgHNPeLxlYbzj6IjPw2+3a7PX+/toawUIIIUq302zmkdq12VIwPnRERgYvXLqEj6pic9h49ten6F23Dz3ienGxy03072phzx9ZtOiWx/ZVn/L9B+8CWvfnUROnExAcUo2pKVuOTuGPIC2tvVKKP/zev9vMmVMGBtyZ6bZd70UrvVzPbsBRwVftgw8+IDc3t8TXatWqVcWxEZVNKvNCeOroUa0ibzJBo0ZVe2qjkSmhocx9KBj7cIV/PRrGv2IuUdKI0At5Z3h918MYdSbebPstgcZQDu/9gxVffQaAwWhi5HPjOVm3PifvvBf03tFBJ0+nsDuwSBf7tgvcXl+6FGbNgkcegVdfrfr4CSGEN0jV6XglPJz3g4NxKApBdjv/Tkmhb07hRKnLjixl+YkfWJO0ko/6f06tWonoVZV/vJ7KH7+uY85L/+cKO+yFV2nTo091JKVctoX4YdMpxOVaiM+xFHt96aIgfl0VwLlkA//37xTXdr0ilXnhXerU8Y6hk6JiSGX+GjkckJQEmZkQGAh161bt2tYVff7SjmexwDffwMmTEBcHgwdr45MvDwuebavIOMbGwqlTWj3buS04GGJiYMsWOHcOIiK0pcqOHtX2DwjQwgQHa/snJcH+/XD2rLbynJ+f1lW7a1ctrsePQ/pH22kLpEY1Y9NKIxER0KaNFqcdO7QJ7vPyID5eq+vXqVNyOh0Obf687GytFTkqCpKTtf9NpsLJ277ZGs7emEBaz8hndX1/bQZ3ICTZRnyPTLb9CWYTWAoa381m8DXDNxe+REWlrk8rrFmhJGXk8d83X3M91e424FFMfvW5mGUm16rDxwdqhYGuiifrdahw6aL2nnkSh12BPlh1Orh0mAa5VpqGtHZ7/cQJ7X20FC+jCSFuEM78Ie8ABJi1fOBK+c3l9+PSwhcN57xPnzun/d2qlXbf8Q+AAG0qEnJyrny8osfMzIKsTG0f0O6HeXlaZ7DsbC1P8vXVjpWdrS2oApCQALffrv2/bZu2rU0bbdz30aMl50cOB3ye78d/QkIA6HUhi/v2XSLviJ1PTkF2DsTWgdr054HdMwne2IOf1/gTPEpHZoaB80d28tN7j+IomDH7pjtG0ajrA2zZos0JazZBWAT4+2lxruy8pTz5iLOL/e0XskrsYt8owcLh/VbuGpYBwBu/vsH6k+sZ3308f2tVPUMIpDVaiJqjpn4fa0RlftasWUyZMoXk5GRat27Nu+++61rnsCRffPEFY8eO5fjx4zRu3Jg333yTAQMGVGGMNfv2aZNt7d9fmJE0bQp33gnNmnnf+Us7Xl4efPaZVlGy27UuzLVqQdu2WmXYlYkW9Ny5dOnK2yoyjvn5kJurTVp84UJhgczPDy5e1F63WrUwDof2AEJVtUJNWJj2YCIvT0vbuXOFBShnd+34eO3hQ1ISPHBgG22B5Seb8+bL2kOD0Fpgtbjvq9dDZKRWyBo2zH0FuyNHYMUKraCVn68VANMzdZzKCOT8RT1KaAap3fzI7u9P1qQACFVYhTZjpu+aXAI+zMS0OZ+fgJ/1WqFNr9N+o4De4OB4ryXgD7l/DmTBL3Bm7xxSz2nd643+Lem7zYrP9vf5uPED5MaGEBQEUdHQrh1ER5f/mlyNs2dh+3ZIPqs9jDAZy45Dnl6HOTcT675l3Nng78WWCnruOa3A+vzzVZAAIUSNUzR/CEoBP5N2D+/du+SVRC+/H5vNJYcvGu7gQe3BYX6+dr933vMDAiAoSMtjTCYID9fymNLO7zzmH39of6emavmYw1E4ZMj5P2j3eIcDt0nbdIp2blUteE3VXlcKwisK6PQQcIuJv8Ra6NpVe1B8+FgWjR5KJ3BtDlkb85iUDvl5YNPlYfdNJjQ9jHln/8Ffcu3EsgDbaSMc+ANyXoa0H13n14f1Y2/Gv9g5SYuzs5xr0ENgkJZ3xsdXXt5SnnzkklHPgYLJU3teLOxib7eBvqAkPPz+dJ548SJ+/gVzBaQncfjSYXKtJXdXrkz6grFiFosFk8lU5ecXQhRnKWgt0tewsZzVvjTd559/zt///nfef/99OnXqxPTp0/niiy84cOAAtWvXLhZ+w4YN3HrrrUyaNImBAwfy2Wef8eabb7J9+3ZaejjrVUUshbNvH8ycCSkpWoXQ31+rSJ48qWXiTzxRuRX6ij5/acdbvVprgVAUraBiNmtP3zMztcLGzTdDt25aZfe337TM/JZbCivAv/6q7Xvzzdq2ioxjbi6sX69VpK1WCAnRfs6f18KA1jKgqlqLh92uxcXHRytwOZfitFq1QpOzYOak0xVW7AMC4Iv0PvRSV/Cq/jW+1A1Fry8s0Ol0WqFKpyss1AQE6Uhso+P/nrfRsKFWYHt5YgA7LgTQqGseIQlWMudncz7FwNaL8YCK4YgNW3zhchfKJQc+v+QS8HEmxn3Fl9EBreCGTiU/eh2ZCXPJj16HYvUnZOmL5J1fR+6lXwAHHTAwIbAN/TN/B2Bw03lsbtST+AZgyQf/QOjdq/Ir9GfPwoqVkJ2pPQwxm7X3MfVS2XEwOlQCbVbq+oZz4M9gNm2C0aMLW60MNeLxpBDey1uXprs8f4i1HCU/28bZsxAaCn//e/EK+sKFWiU6Olq7h+TmUix80XBpaVrl0ZlfOKloFWujUfsJCtKO0bgJ5OUWP7/zmCdPwunT2oNnu127Dzor745ylsx0iraPPVhHfhsz+W3NWNv7kNPFB2t9I21aHiXU6iCqqQ7/OB1Hj2lpSs+APJ+TpEetJDspEb3Nh81J42mft4NUnT9NfFaRYksCy/1AYTd8/NtDk89AV2Q95iLPV3U6CAmFqEgIj6j4vMXTfCRTr2NdmD9rwgJINRlokZHHtH1nAdi+xYcZk8KZMPUcTVtaCK9to+hqU8fTjnMx5yK31LuF2KDYiou8h9LS0sjJySEoKAiTySRr3QtRTVRVxWKxkJGRgZ+fHyEFPZsqm6f5Y7VX5jt16kSHDh147733AHA4HMTFxfH444/z0ksvFQs/dOhQsrOz+e6771zbOnfuTJs2bXj//fc9Oue1Fh4cDpg8Weta3bw5bN06i3RzFjnBAZjMWTjslwgM0AoU5y9q/czN9bPAR4fO4SBsyxks53wI9s2hQ6CNw/Xr49Dp2JHqjx2VqDgDPgFad7C0c9mkXbJjNuUS5zhASOoFVGDT1kZc0Adi7+SDxaT14TPlKBgzfLFa8mnhZ6dxE63yujvdD79Dp4iv6yAgXGsqP6D4cTZNh1FvITQkmZMnta5+DjUGh92ANTgbi4/Cse3Z+Oy+QBQBmEz5ROWppDaNxWqDNH9fMCtExiicvRRIdg6YlDyC/awEBVrxPbgZR4qW+VsddaFZXfLjIM9fJTMDwnwVYk3+6HU2WodkoS/oKHIkxYD+4AWio+2E1auFA9gfFM6fW+3k5tmJDD8BikJGBmRkRWKxBpBDJjkBdgIuXSBrbxYRWZEY9Q6C/LOxxkah6CDdJ4hckx92Rz4WxZfcPHA47NQK9AVFIfr3hVpZRIGM3Nakd+6CIySNTJ900Ck8xSY2WO/hkLE2fuxEwYTDqCf7cAR5q+MIMG3BbPkTS2I0GY/eisW/A/hDaP296ML8yDb6k+8fiupfWOOsffsYfC5e4sLBZzAYz2NfVAd7XBj+Gw5h3LQf9UQSqtVOTpZ23RTAP/gSqpqPIfsgGPOwBmWQ2vgctsi6oM8Dv4uwRQ+77TR3RBGMnvvyLzDAqj1RdKTm8t+QgUytMxqzuTYxTRTimus4cTyV8AgH3W6zYjJrtwVrvo6cdAN6k0pgiJWQgqeSGSlG7FYFQ50AAgMDAcjNtXHufDp6g0JcncIJVs4kp6FkWwjzz8fg42DNajiRrMc30h/0KqZgG6pOQdUrnLnoi1+UicZdzNhD/cgy6LhzxyU2rrDiq3MwfLCBaP/a+Jv8GTBAKxRPmABjxxb0ThBCXBNvrMwXzZNttk84Yz9Ldi0/DMZc/HzPk5OtPZD1C4jB4TDgF3aRE8l2MjIh6tBZlPRQ9IY8mtjyuNgkllSLiawgf0IiFXJS88lMMxEUBIeO2VHMBlAs+GUcwHhMqxTmW+pj8wsip6UPqtmCwQB61YS/Gop/gI3Q9GxqBeto2EThcJY/yevOo5xPxZpjJiUFLM0jcNQLQ1VtmEyntCXhFAWLPRo7Adh90rEZ8yErF/O6I5jzm6Bgp5btNOcn3I2lXhi59aOw1Q1BDfMt/gbl2IgYO5HA9WvxCbJzau+LZGT3wtTtPaxtPkENuwiXGsPClWDIYb25Of7ZKiOAPcYgOJ8BtnTITQdDBLR5EWr3AJ0JTJbCSrxdr/0YHGCwoc+1Exdqx+gwERMNg4YGY/crKNuk55GWlo1fgIHaYcGuqB5PugSqSkxAFqaCrDIvW09KvhnFH3yD7DhU2LQJTh4zERKq4B/ki8Hoh92gYM3IJ2VTKrF1FUb8LZTlkYF8FR0CgCnTztN799A8V+tG/9W8unyzsC7d+pzn9ff3FHvbgsxBRAZEVktFHrQKRHp6OjlF5jIQQlQfPz8/goODq+zBmldU5i0WC35+fnz55ZcMGTLEtX3kyJGkpaXxzTffFNunbt26PPPMMzz11FOubePHj+frr7/mjz/+KPE8+fn55BesrQ3amxMXF3fVhYfjx2HcOK11OSgI3n67Dtk/7cHRJaTsnR12SPgJDg+A0EOoqU3Q2e2ongwiP7YaFhbMPD7BBm/r4SkPI90EGhse4tC+DwBQ0vNQgzxYDzY9Cf4yD9aNB2MWXw34G3d9/bVn5/zxCdiizXbL5BT4PQxaeLBfngq+CqHx80k9+kBh/0JP7FoE096HBWsBlW4/fMn6/vd4tu+EIl/O2TvhRGvw4C3S78nG3tIffcR27BfawzPPwLRpnp3zk/5wZDn8OwdsvtRb/QMnengwZGQ1sLQZROzX/j/8LHw81aNTBjy5g6yZbaHer/jG1Uf3WBDZw4PL3jHrHEyL0v6esxXO3oQhKw+bv0/Z+44D9v8/aLFU+z9yHDw6waP4/uOro3x0dzwEn2DFzwrx4XH4+ir8+99a68zUqVpXTiHEtavsynxF58fgnid/+WU3zk6Zh22oh2uD9/4PrHwMfFJR82rhn5VFjr9/2ftdPAjvJWh/v5EBIwLhIw8jfB8Ebn6XzENPAKA7fg5HveI9EYvJz4S/j4QlX4Fi5+t2dRny+2nPzrns7/Dnx9rf7+6FB5vBmx7sl22BABMkvAk5FggfBj/Uhyhjmbuy/k34+WV4Tcu/b/1pHev63OpZfCd0BjZrf294Gp56G/qXvZvvhovkdgtD33QlE99LIDBC4b0G4ex/Lg91QQjc3waiC8qKh/rB0V5w+ytgzCt2rBe6vsBTnZ8iOrCKxp+VwuFwYHd2JRRCVAu9Xo+uKidFw/P8uFo7paakpGC324mMjHTbHhkZyf79+0vcJzk5ucTwycnJpZ5n0qRJTJjgWcXBE5mZ2vjoovm9YnO497srlQqKDVBRdDZtfJvDoT2JL4vDVjhgTnGATec+gK5MRTIDu4fxddhBsWvx1tlRHJ6ms2BfZ1CdHayqZ/Et6F+oKEXmavf4nFbQWbX4Kg4MNks59qWwhcHvPFhUMAJK0f6UzgAqiqqiAIaMdOw6I4bwP7BfQJuNz2oFDAX9LwvigwoOPdgN2nuqt0LaMe0lg1aQ0Fst+BQsJ2JR9DhUoxZWLdrF3gesjoI4FBwaB2quWnhcJ5sZUNApVlTVgIpCVl4wGHJBcaA/E4SSakZnUXHYC0Zb6i3a5wtA1YPdqP1vz8es1yruFqMV1ZCLwe5AX/D+2u0qNosCioqPT+HnOS/PAaodg0GPovPBbgPVrqJmqFrfUtMl7bPisMG5QDjjS6j/af7Ssg5tbTYaxcH8hO9Qgs7SqdVfCSw49qxZnl1WIUTNUdH5MRTPk5WiA7jL4szfFBu5gM7Tfd3yY7uWb3maHztAUYrcp602D86pgi0P9LnaAXRWDJmZ6G02FFXF5tAX5E9F8wsF1xNpu92VlakxW8HRCPIBnc11eOzOB7N5BfsqWhhDLuibQP7tcBrIUSDXOUC+SCXYYdB+dHYt37MBDh9tf6CW3gdzQTqtVhWHXQGdA7OpsICcX3A4o96IDi0+NoOC3WKHXIeWP1HwXuf7gV3BYLRgVI3o7WDKtpMbcBa9MZfWxkAS68CdtjwSdv9AdoIOg9GIzlCQzmZrtB8Aij+UDvEJIdjHgwfdlUyn01V5JUII4T2qtWX+zJkz1KlThw0bNtClSxfX9hdeeIG1a9eyefPmYvuYTCYWLFjA8OHDXdv+85//MGHCBM6dO1fieSq7Zf7w4eXYbIUZWna2Vrj461+hhGH/1+z8eW1CuqAgbaK3y5X3/KUdLylJmw1eVzDBWkCAtj0rq3BWXLsdWrfWxvyZzVp5xGIpHGtYdFtiYmFh61rjmJ0Nu3Zp8UpNLQwXGKhNZufM95xxNBq1cY5O/v6FE+cV5RxzraqFY+qLvuach8ZmKz5rutlcuL653a79hIRo78Vf/gI//1w8/mazNp7/1KnC4zif61z5m6kU+dEBfuh0/hiNAVgsARgMdVAUvSt9Ol3hmEJV1eYNcDi0bVFR0Levdt6LF+G116B+/Sud++pd/t25XHp65cdBCFE6b2+ZT01dR27uJbfXL89vPM1D+/QpvG+npBTmh875V5x5hF5f+Le/v5ZXhIZq99rERG278/ygndtg0Cbqy8jQjumc1wU874hWusKHqVoerGCxgI+PQnAwGI06FEXPmTN67HY9WkU2AAgs+B0MlG/SNUXR0ms0Fv6227XVYnr00J5vV9R9XfIRIcSNwCta5sPDw9Hr9cUq4efOnSMqKqrEfaKiosoVHsBsNmM2e9Bf2kN162ozsjvHzDdq1M/1mqpqE8Z17QqjRlXOMnUOh1aw2LFDW5qmaKP+1Zy/tOM1bqxNKpSRoVXknZV5u11rBbHbtYy0f3/YuFHr8qyqWuW1Wzct7Jkz2vHi4rQZZp0Z/rXGEbTCj/Ocly4Vzk6fmak9cPD3L2ggRzuHwaD9bzJplWyrVTuus1DmnP236P+qWrgN3Cv7ztdB+9tsLhwR4DxP7dowaBC88IIWrqT416tXOIlfWZxxubywpyiFE/YZDO6z9hedDdn525k+g0GbOC4oSLvW7doVLidYGS7/7lz+2T11qvLjIISoPhWdH8Pl95Vby8wTPc1DnStj7NihrU7irHzr9YV5BxT+1um0+35QkDahXnS0turLvn2F5wft3Nu3Q5MmsHu3dixfXy1PuPaKfCFnfPLyCifna9pU2372rJanp6dX3PmceZPBoD3wNhq1a5OeDu3bV9x9XfIRIYQoVK39dkwmE+3bt2fVqlWubQ6Hg1WrVrm11BfVpUsXt/AAK1asKDV8ZdDptKXVwsO1TD89Xcu40tO1/8PDYciQyltvvqLPX9rxsrK0p9oGg9ai6yxoKIr2uk5XuM56bKwWJj9fWx7M4dB+O7fFxmoVyIqKY0aG9rDBYNBa2A0GLV6ZmVoBxRlnk0mr1NvthXE2GLT9DQatVcZg0ApnznQ5K/k6XeEs9UFB2u+cHK1g5Cx8OXst6HSFS+XlFXTSCAzUWmXuuks7R2nxP34cIiJwzaLrnFW/pJEXziWIilKUwvg7W9udaTIaC9/j/Hz3dOp02nnr1NEKm5X9uYXq/+4IIa4/5b2veBq+6H37wAEtv3OuhFJ0xJnzfmoyFa5m4uur5XuX31ud53be80ND3Zegc8bvat6DyxkMhflRUJD2cNls1uLl61uY/10NZ77nVPQBt7NHWESE9p5ERFTsfV3yESGEKFTts9l//vnnjBw5kjlz5tCxY0emT5/OkiVL2L9/P5GRkfz973+nTp06TJo0CdCWpuvevTuTJ0/mjjvuYPHixbzxxhtVvjQdlLwue7NmWiZSXevMX8v5Sztebm7xdebDwrSCTdF15sPCClvJr7StIuPorDxbrcXXmXees7R15sPDCx9CnD1b8jrzDRtqrf1JSdoSQhkZ2nGcrfsREdo+Z85oFX1ny3hMDAweDA8/7J7O0uLv46MtU3TggBZX57dSp9Nec3aRt1gKC33OirnBUFhINBq1Qppz+T3Q4pWWpu3vDO/jo6W/Xj2tgFeVn9uS3oeq/u4IIUrmjbPZO5X3vuJp+KLhdu+GQ4cK8wrnOvNBQVCrlva3jw9ERl753uo85ubN2t8pKYUPkp3rzDv/hyLrzBcpsTkfNrutM1+kN1nR3leDB0PPnvDnn1o6zp/X8rz0dC3v9KRXgPOYer2WB/oUDDPPydHi6oyb0ailv3Vr6Ny58u7rko8IIa5nXjGbvdN7773HlClTSE5Opk2bNsycOZNOnToB0KNHD+rXr8/8+fNd4b/44gteeeUVjh8/TuPGjXnrrbcYMMCDGcALVGThweHQKnqZmVpLbN26Vfs0uKLPX9rxLBb45hutwhkXpxUMDIbiYcGzbRUZx9hYrVtdenrhtuBgrQCzZYtWYImI0MaGHz2q7R8QoIUJDtb2T0rSCgRnz2pj8P38oGVLrWukTqe1nh88qBWynHMGREdrBRWADRu0Ql5Ojtb9r3lzrVdDSeksLf6ZmVqlfft2bTy9qmrHb95c2+/gQS0tzl4DtWtrDxxycrQClr+/drzsbO13wYpxZGYWvjcpKdp70aSJdgxn2Kr+3Jb0PlRHHIQQ7ry5Mg/lv694Gr5oOLNZ6+J96pRWgezYUXtYWvS+68m91XnM9HTtJztbu+/7+RU+HM7M1MZ/+/lpD18zM7V8DaBVK20Y15Yt8Ntv2rbOnbXz7d9fcn5UNB3OOWzS07UHyQcPan83aaLFPTVVO0ZoaGEaFEXLQ4KCCvMbPz/tAUdKivZ3gwbaPsHBlX9fl3xECHG98qrKfFWr6sKKEEII4Q28vTIvhBBCXA88zR/l+aUQQgghhBBCCOFlpDIvhBBCCCGEEEJ4GanMCyGEEEIIIYQQXkYq80IIIYQQQgghhJeRyrwQQgghhBBCCOFlpDIvhBBCCCGEEEJ4GanMCyGEEEIIIYQQXsZQ3RGoDqqqAtr6fUIIIYTQOPNFZz5Z2SQ/FkIIIYrzND++ISvzmZmZAMTFxVVzTIQQQoiaJzMzk+Dg4Co5D0h+LIQQQpSkrPxYUavq8XsN4nA4OHPmDIGBgSiKUmHHzcjIIC4ujpMnTxIUFFRhx63pJN03TrpvxDTDjZnuGzHNIOlOSkpCURRiYmLQ6Sp/JF5l5cdV5Ub/vNxI6ZY03xhphhsz3ZLmmpdmVVXJzMwsMz++IVvmdTodsbGxlXb8oKCgGvmhqGyS7hvHjZhmuDHTfSOmGW7cdAcHB1dpuis7P64qN+rn5UZMt6T5xnEjplvSXLN40kNOJsATQgghhBBCCCG8jFTmhRBCCCGEEEIILyOV+QpkNpsZP348ZrO5uqNSpSTdN066b8Q0w42Z7hsxzSDpvtHSfa1u1PftRky3pPnGcSOmW9LsvW7ICfCEEEIIIYQQQghvJi3zQgghhBBCCCGEl5HKvBBCCCGEEEII4WWkMi+EEEIIIYQQQngZqcwLIYQQQgghhBBeRirz5XTp0iVGjBhBUFAQISEhPPjgg2RlZV0x/OOPP05CQgK+vr7UrVuXJ554gvT0dLdwiqIU+1m8eHFlJ6dUs2bNon79+vj4+NCpUye2bNlyxfBffPEFTZs2xcfHh8TERH744Qe311VVZdy4cURHR+Pr60uvXr04dOhQZSah3MqT5rlz53LLLbcQGhpKaGgovXr1Khb+/vvvL3ZN+/XrV9nJKLfypHv+/PnF0uTj4+MW5nq71j169Cjx+3nHHXe4wnjDtV63bh2DBg0iJiYGRVH4+uuvy9xnzZo1tGvXDrPZTKNGjZg/f36xMOW9V1Sl8qb5q6++onfv3kRERBAUFESXLl346aef3MK8+uqrxa5106ZNKzEV5VfedK9Zs6bEz3hycrJbuJp8rStLZX1varLK+vzUZJMmTaJDhw4EBgZSu3ZthgwZwoEDB8rcr6yyT012NWn2pAxQ082ePZtWrVoRFBTkus//+OOPV9zHm68zlD/N18N1vtzkyZNRFIWnnnrqiuG88VpLZb6cRowYwZ49e1ixYgXfffcd69at4+GHHy41/JkzZzhz5gxTp05l9+7dzJ8/n+XLl/Pggw8WCztv3jzOnj3r+hkyZEglpqR0n3/+Oc888wzjx49n+/bttG7dmr59+3L+/PkSw2/YsIHhw4fz4IMPsmPHDoYMGcKQIUPYvXu3K8xbb73FzJkzef/999m8eTP+/v707duXvLy8qkrWFZU3zWvWrGH48OGsXr2ajRs3EhcXR58+fTh9+rRbuH79+rld00WLFlVFcjxW3nQDBAUFuaXpxIkTbq9fb9f6q6++ckvv7t270ev13HPPPW7havq1zs7OpnXr1syaNcuj8MeOHeOOO+7gtttuY+fOnTz11FOMGjXKrXJ7NZ+fqlTeNK9bt47evXvzww8/sG3bNm677TYGDRrEjh073MK1aNHC7Vr/9ttvlRH9q1bedDsdOHDALV21a9d2vVbTr3VlqYzvTU1XGZ+fmm7t2rWMHj2aTZs2sWLFCqxWK3369CE7O7vUfTwp+9RkV5NmKLsMUNPFxsYyefJktm3bxu+//87tt9/O4MGD2bNnT4nhvf06Q/nTDN5/nYvaunUrc+bMoVWrVlcM57XXWhUe27t3rwqoW7dudW378ccfVUVR1NOnT3t8nCVLlqgmk0m1Wq2ubYC6bNmyiozuVevYsaM6evRo1/92u12NiYlRJ02aVGL4e++9V73jjjvctnXq1El95JFHVFVVVYfDoUZFRalTpkxxvZ6WlqaazWZ10aJFlZCC8itvmi9ns9nUwMBAdcGCBa5tI0eOVAcPHlzRUa1Q5U33vHnz1ODg4FKPdyNc63feeUcNDAxUs7KyXNu84VoX5cn95oUXXlBbtGjhtm3o0KFq3759Xf9f63tZla72Htu8eXN1woQJrv/Hjx+vtm7duuIiVsk8Sffq1atVQE1NTS01jDdd68pSUd8bb1JRnx9vc/78eRVQ165dW2qYsso+3saTNJdVBvBWoaGh6gcffFDia9fbdXa6Upqvp+ucmZmpNm7cWF2xYoXavXt39cknnyw1rLdea2mZL4eNGzcSEhLCTTfd5NrWq1cvdDodmzdv9vg46enpBAUFYTAY3LaPHj2a8PBwOnbsyEcffYSqqhUWd09ZLBa2bdtGr169XNt0Oh29evVi48aNJe6zceNGt/AAffv2dYU/duwYycnJbmGCg4Pp1KlTqcesSleT5svl5ORgtVqpVauW2/Y1a9ZQu3ZtEhIS+Oc//8nFixcrNO7X4mrTnZWVRb169YiLiyv2ZPdGuNYffvghw4YNw9/f3217Tb7WV6Os73VFvJc1ncPhIDMzs9j3+tChQ8TExBAfH8+IESNISkqqphhWrDZt2hAdHU3v3r1Zv369a/uNcK0rSlnfm+tZaZ8fb+QcCnn5d7+o6+1ae5JmuHIZwNvY7XYWL15MdnY2Xbp0KTHM9XadPUkzXD/XefTo0dxxxx3FrmFJvPVaS2W+HJKTk4t1GzMYDNSqVcvjsWEpKSm8/vrrxbrmv/baayxZsoQVK1Zw991389hjj/Huu+9WWNw9lZKSgt1uJzIy0m17ZGRkqWlMTk6+Ynjn7/IcsypdTZov9+KLLxITE+N2E+jXrx8LFy5k1apVvPnmm6xdu5b+/ftjt9srNP5X62rSnZCQwEcffcQ333zDJ598gsPhoGvXrpw6dQq4/q/1li1b2L17N6NGjXLbXtOv9dUo7XudkZFBbm5uhXxvarqpU6eSlZXFvffe69rWqVMn13Cp2bNnc+zYMW655RYyMzOrMabXJjo6mvfff5+lS5eydOlS4uLi6NGjB9u3bwcq5h55oyjre3M9Kuvz420cDgdPPfUU3bp1o2XLlqWGK6vs4008TXNZZQBvsWvXLgICAjCbzTz66KMsW7aM5s2blxj2ernO5Unz9XKdFy9ezPbt25k0aZJH4b31WhvKDnL9e+mll3jzzTevGGbfvn3XfJ6MjAzuuOMOmjdvzquvvur22tixY11/t23bluzsbKZMmcITTzxxzecVlWvy5MksXryYNWvWuE0QMmzYMNffiYmJtGrVioYNG7JmzRp69uxZHVG9Zl26dHF7ktu1a1eaNWvGnDlzeP3116sxZlXjww8/JDExkY4dO7ptvx6v9Y3us88+Y8KECXzzzTduD3H79+/v+rtVq1Z06tSJevXqsWTJkhLnQvEGCQkJJCQkuP7v2rUrR44c4Z133uHjjz+uxpgJb3C9fX5Gjx7N7t27a9xcGJXJ0zRfL2WAhIQEdu7cSXp6Ol9++SUjR45k7dq1pVZurwflSfP1cJ1PnjzJk08+yYoVK7x+8r6ySMs88Oyzz7Jv374r/sTHxxMVFVVssh+bzcalS5eIioq64jkyMzPp168fgYGBLFu2DKPReMXwnTp14tSpU+Tn519z+sojPDwcvV7PuXPn3LafO3eu1DRGRUVdMbzzd3mOWZWuJs1OU6dOZfLkyfz8889lTqwRHx9PeHg4hw8fvuY4V4RrSbeT0Wikbdu2rjRdz9c6OzubxYsXe1Rhq2nX+mqU9r0OCgrC19e3Qj4/NdXixYsZNWoUS5YsKbNrXkhICE2aNPHqa12Sjh07utJ0PV/rilbW9+ZGUfTz403GjBnDd999x+rVq4mNjb1i2LLKPt6iPGm+3OVlAG9hMplo1KgR7du3Z9KkSbRu3ZoZM2aUGPZ6uc7lSfPlvPE6b9u2jfPnz9OuXTsMBgMGg4G1a9cyc+ZMDAZDiT0nvfVaS2UeiIiIoGnTplf8MZlMdOnShbS0NLZt2+ba95dffsHhcNCpU6dSj5+RkUGfPn0wmUz873//8+gJ0c6dOwkNDcVsNldIGj1lMplo3749q1atcm1zOBysWrWq1LE1Xbp0cQsPsGLFClf4Bg0aEBUV5RYmIyODzZs3X3G8TlW5mjSDNmv766+/zvLly93mUSjNqVOnuHjxItHR0RUS72t1tekuym63s2vXLleartdrDdpyJfn5+fztb38r8zw17VpfjbK+1xXx+amJFi1axAMPPMCiRYvclh8sTVZWFkeOHPHqa12SnTt3utJ0vV7rylDW9+ZGUfTz4w1UVWXMmDEsW7aMX375hQYNGpS5j7df66tJ8+UuLwN4K4fDUWrjmbdf59JcKc2X88br3LNnT3bt2sXOnTtdPzfddBMjRoxg586d6PX6Yvt47bWu5gn4vE6/fv3Utm3bqps3b1Z/++03tXHjxurw4cNdr586dUpNSEhQN2/erKqqqqanp6udOnVSExMT1cOHD6tnz551/dhsNlVVVfV///ufOnfuXHXXrl3qoUOH1P/85z+qn5+fOm7cuGpJ4+LFi1Wz2azOnz9f3bt3r/rwww+rISEhanJysqqqqnrfffepL730kiv8+vXrVYPBoE6dOlXdt2+fOn78eNVoNKq7du1yhZk8ebIaEhKifvPNN+qff/6pDh48WG3QoIGam5tb5ekrSXnTPHnyZNVkMqlffvml2zXNzMxUVVWbPfO5555TN27cqB47dkxduXKl2q5dO7Vx48ZqXl5etaSxJOVN94QJE9SffvpJPXLkiLpt2zZ12LBhqo+Pj7pnzx5XmOvtWjvdfPPN6tChQ4tt95ZrnZmZqe7YsUPdsWOHCqhvv/22umPHDvXEiROqqqrqSy+9pN53332u8EePHlX9/PzU559/Xt23b586a9YsVa/Xq8uXL3eFKeu9rG7lTfOnn36qGgwGddasWW7f67S0NFeYZ599Vl2zZo167Ngxdf369WqvXr3U8PBw9fz581WevtKUN93vvPOO+vXXX6uHDh1Sd+3apT755JOqTqdTV65c6QpT0691ZamM701NVxmfn5run//8pxocHKyuWbPG7bufk5PjCnM1ZZ+a7GrS7EkZoKZ76aWX1LVr16rHjh1T//zzT/Wll15SFUVRf/75Z1VVr7/rrKrlT/P1cJ1Lcvls9tfLtZbKfDldvHhRHT58uBoQEKAGBQWpDzzwgKsCp6qqeuzYMRVQV69erapq4ZItJf0cO3ZMVVVtebs2bdqoAQEBqr+/v9q6dWv1/fffV+12ezWkUPPuu++qdevWVU0mk9qxY0d106ZNrte6d++ujhw50i38kiVL1CZNmqgmk0lt0aKF+v3337u97nA41LFjx6qRkZGq2WxWe/bsqR44cKAqkuKx8qS5Xr16JV7T8ePHq6qqqjk5OWqfPn3UiIgI1Wg0qvXq1VMfeuihGlnwLU+6n3rqKVfYyMhIdcCAAer27dvdjne9XWtVVdX9+/ergCvjK8pbrnVp9yJnWkeOHKl279692D5t2rRRTSaTGh8fr86bN6/Yca/0Xla38qa5e/fuVwyvqtoyY9HR0arJZFLr1KmjDh06VD18+HDVJqwM5U33m2++qTZs2FD18fFRa9Wqpfbo0UP95Zdfih23Jl/rylJZ35uarLI+PzVZaeW0otfuaso+NdnVpNmTMkBN949//EOtV6+eajKZ1IiICLVnz55uefv1dp1Vtfxpvh6uc0kur8xfL9daUdVqWP9MCCGEEEIIIYQQV03GzAshhBBCCCGEEF5GKvNCCCGEEEIIIYSXkcq8EEIIIYQQQgjhZaQyL4QQQgghhBBCeBmpzAshhBBCCCGEEF5GKvNCCCGEEEIIIYSXkcq8EEIIIYQQQgjhZaQyL4QQQgghhBBCeBmpzAshhBBCCCGEEF5GKvNCCCGEEELcgBwOB02bNuVf//qX2/bvv/8ek8nEV199VU0xE0J4QirzQoir0qNHD5566qkKP+7FixepXbs2x48fL9d+w4YNY9q0aRUeHyGEEOJ6pdPpePnll5k1axbp6ekAbN++naFDh/Lmm29y1113VXMMhRBXIpV5IUSNMnHiRAYPHkz9+vUBz1sNXnnlFSZOnOgqjAghhBCibCNGjKBWrVq89957JCUlMXDgQB544AGefvrp6o6aEKIMUpkXQtQYOTk5fPjhhzz44IOubZ62GrRs2ZKGDRvyySefVEvchRBCCG9kMBh48cUXmT59OgMGDKBDhw7MmDGjuqMlhPCAVOaFENcsPz+fJ554gtq1a+Pj48PNN9/M1q1b3cJkZmYyYsQI/P39iY6O5p133inWVf+HH37AbDbTuXNnt309bTUYNGgQixcvrrR0CiGEENejESNGkJWVhaIoLFq0CJ1OqghCeAP5pgohrtkLL7zA0qVLWbBgAdu3b6dRo0b07duXS5cuucI888wzrF+/nv/973+sWLGCX3/9le3bt7sd59dff6V9+/bFju9pq0HHjh3ZsmUL+fn5FZ9IIYQQ4jo1ZswYAFJSUqQiL4QXkW+rEOKaZGdnM3v2bKZMmUL//v1p3rw5c+fOxdfXlw8//BDQWuUXLFjA1KlT6dmzJy1btmTevHnY7Xa3Y504cYKYmJgSz+NJq0FMTAwWi4Xk5OSKT6gQQghxHRo7dizff/89mzZtwmazufJuIUTNJ5V5IcQ1OXLkCFarlW7durm2GY1GOnbsyL59+wA4evQoVquVjh07usIEBweTkJDgdqzc3Fx8fHxKPI8nrQa+vr6ANvZeCCGEEFc2d+5cpk2bxrfffkvr1q156qmneOutt7BardUdNSGEB6QyL4SoMcLDw0lNTS223dNWA2e3/oiIiEqNpxBCCOHtfvjhB8aMGcOnn37qmqtmzJgxpKen8/HHH1dz7IQQnpDKvBDimjRs2BCTycT69etd26xWK1u3bqV58+YAxMfHYzQa3SbFS09P5+DBg27Hatu2LXv37nXbVp5Wg927dxMbG0t4eHhFJlEIIYS4rmzbto17772Xt956izvvvNO1PTg4mCeeeILJkycXGwonhKh5pDIvhLgm/v7+/POf/+T5559n+fLl7N27l4ceeoicnBzXEnOBgYGMHDmS559/ntWrV7Nnzx4efPBBdDodiqK4jtW3b1/27Nnjap0vb6vBr7/+Sp8+faog1UIIIYT3at++PVlZWTz55JPFXnvttdc4ePAger2+GmImhCgPqcwLIa7Z5MmTufvuu7nvvvto164dhw8f5qeffiI0NNQV5u2336ZLly4MHDiQXr160a1bN5o1a+Y2Rj4xMZF27dqxZMmScrca5OXl8fXXX/PQQw9VTaKFEEIIIYSoRoqqqmp1R0IIcePJzs6mTp06TJs2zdWCD/D999/z/PPPs3v37nItjzN79myWLVvGzz//XBnRFUIIIYQQokYxVHcEhBA3hh07drB//346duxIeno6r732GgCDBw92C3fHHXdw6NAhTp8+TVxcnMfHNxqNvPvuuxUaZyGEEEIIIWoqaZkXQlSJHTt2MGrUKA4cOIDJZKJ9+/a8/fbbJCYmVnfUhBBCCCGE8DpSmRdCCCGEEEIIIbyMTIAnhBBCCCGEEEJ4GanMCyGEEEIIIYQQXkYq80IIIYQQQgghhJeRyrwQQgghhBBCCOFlpDIvhBBCCCGEEEJ4GanMCyGEEEIIIYQQXkYq80IIIYQQQgghhJeRyrwQQgghhBBCCOFlpDIvhBBCCCGEEEJ4GanMCyGEEEIIIYQQXub/A+AMVUIUJU82AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# plotting data and fits + full set of confidence intervals\n",
    "#\n",
    "\n",
    "report_utils.plot_from_dataframes_full_ci(\n",
    "    df_points=df_points,\n",
    "    df_fit_plot=df_fit_plot,\n",
    "    df_ci_plot=df_ci_plot,\n",
    "    xlabs=xlabs,\n",
    "    results_path=results_path,\n",
    "    filename=\"logit_fit_CI_paper.pdf\",\n",
    "    verbose=verbose,\n",
    "    width=width,\n",
    "    height=height,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ce16edf",
   "metadata": {},
   "source": [
    "## Parameter CI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "91a199e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['scale', 'dataset', 'idx', 'beta', 'pars', 'SE', 'LCL', 'UCL'], dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pars.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "18dce684",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "scale",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "dataset",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "idx",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "beta",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "pars",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "SE",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>idx</th>\n",
       "      <th>beta</th>\n",
       "      <th>pars</th>\n",
       "      <th>SE</th>\n",
       "      <th>LCL[Wald]</th>\n",
       "      <th>UCL[Wald]</th>\n",
       "      <th>LCL[normal]</th>\n",
       "      <th>UCL[normal]</th>\n",
       "      <th>LCL[nonparam_boots]</th>\n",
       "      <th>UCL[nonparam_boots]</th>\n",
       "      <th>LCL[nonparam_stratified_boots]</th>\n",
       "      <th>UCL[nonparam_stratified_boots]</th>\n",
       "      <th>LCL[parametric_boots]</th>\n",
       "      <th>UCL[parametric_boots]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>log</td>\n",
       "      <td>FULL</td>\n",
       "      <td>[0, 1, 2, 3]</td>\n",
       "      <td>[-40.70878307662146, 152.89571590704983, -186....</td>\n",
       "      <td>[-40.70878307662146, -3.973477028015651e-08, -...</td>\n",
       "      <td>[9.15959832399125, 2.0150708877561616, 2.08826...</td>\n",
       "      <td>[-58.66126590449775, -3.9494664060320015, -19....</td>\n",
       "      <td>[-22.756300248745166, 3.9494663265624603, -10....</td>\n",
       "      <td>[-58.61316731918215, -3.8808400331799224, -19....</td>\n",
       "      <td>[-22.028053170632916, 3.998070227056189, -10.9...</td>\n",
       "      <td>[-316.3081518760638, -5.32848074722165, -69.52...</td>\n",
       "      <td>[-5.932478291854963, 1.165821676998627e-05, 29...</td>\n",
       "      <td>[-312.717360165757, -5.366003957064433, -67.93...</td>\n",
       "      <td>[-5.898273385805229, 1.0297043690149792e-05, 3...</td>\n",
       "      <td>[-318.62670759218025, -6.842526840062616, -74....</td>\n",
       "      <td>[-6.428100715148776, 4.021314564962275e-06, 45...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>log</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>[0, 1, 2, 3]</td>\n",
       "      <td>[-318.6165336226459, 1693.3994316668297, -3000...</td>\n",
       "      <td>[-318.6165336226459, 4.4070051278284836e-07, 7...</td>\n",
       "      <td>[63.4591554610396, 4.519665747020068, 6.604803...</td>\n",
       "      <td>[-442.9941928156118, -8.858381645618142, 59.97...</td>\n",
       "      <td>[-194.23887442967998, 8.858382527019165, 85.86...</td>\n",
       "      <td>[-442.41081252645785, -8.782431168288593, -85....</td>\n",
       "      <td>[-189.7718653484255, 8.841106056212327, -60.11...</td>\n",
       "      <td>[-359.9136238829165, -13.576767970445893, -75....</td>\n",
       "      <td>[-11.311272603309765, 2.7891718409460492e-05, ...</td>\n",
       "      <td>[-358.2240414028309, -13.432052859675473, -74....</td>\n",
       "      <td>[-11.224654531251606, 3.106507818011839e-05, 7...</td>\n",
       "      <td>[-126.9488458630649, -5.286670237445059, -52.8...</td>\n",
       "      <td>[-14.066268776398871, -1.2283069546636276e-08,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>[0, 1, 2, 3]</td>\n",
       "      <td>[-123.99215718937076, 163.79359375284037, -71....</td>\n",
       "      <td>[-123.99215718937076, -1.8888261499093886e-09,...</td>\n",
       "      <td>[18.879731789935104, 1.3204920222656424, 0.473...</td>\n",
       "      <td>[-160.99575153541952, -2.5881168074019487, -6....</td>\n",
       "      <td>[-86.98856284332203, 2.5881168036242963, -4.65...</td>\n",
       "      <td>[-160.77629724629566, -2.6199734604617455, -6....</td>\n",
       "      <td>[-85.70521711097633, 2.543150145750445, -4.638...</td>\n",
       "      <td>[-652.8869980031434, -2.6792031414217297, -17....</td>\n",
       "      <td>[-11.808035085460906, 5.449025360138453e-06, 1...</td>\n",
       "      <td>[-625.9274200067402, -2.7741505628857963, -16....</td>\n",
       "      <td>[-11.578921443846555, 5.2069074437700165e-06, ...</td>\n",
       "      <td>[-519.9180059874121, -3.6011828528950582, -17....</td>\n",
       "      <td>[-15.438422217226755, 3.5392426614192326e-06, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>[0, 1, 2, 3]</td>\n",
       "      <td>[-450.077973159284, 727.8299289144288, -395.52...</td>\n",
       "      <td>[-450.077973159284, -2.5585868846004156, 14.72...</td>\n",
       "      <td>[634.4799389978266, 2.3540961748065476, 11.787...</td>\n",
       "      <td>[-1693.635802508195, -7.172530603364757, -8.37...</td>\n",
       "      <td>[793.4798561896266, 2.055356834163925, 37.8304...</td>\n",
       "      <td>[-1686.9454100525002, -7.187622226459851, -37....</td>\n",
       "      <td>[836.8444837414428, 1.9815482388409698, 9.0581...</td>\n",
       "      <td>[-732.5386511465168, -3.5498175887075427, -18....</td>\n",
       "      <td>[-20.16019025320249, 1.7662708123775456e-05, 1...</td>\n",
       "      <td>[-702.0861321158845, -3.7385224086107587, -18....</td>\n",
       "      <td>[-20.89232171680716, 1.6020411691197513e-05, 1...</td>\n",
       "      <td>[-543.4649015614586, -4.108704793862797, -17.9...</td>\n",
       "      <td>[-30.30604606678693, 8.699804942674929e-07, 10...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   scale dataset           idx  \\\n",
       "0    log    FULL  [0, 1, 2, 3]   \n",
       "1    log    TRIM  [0, 1, 2, 3]   \n",
       "2  plain    FULL  [0, 1, 2, 3]   \n",
       "3  plain    TRIM  [0, 1, 2, 3]   \n",
       "\n",
       "                                                beta  \\\n",
       "0  [-40.70878307662146, 152.89571590704983, -186....   \n",
       "1  [-318.6165336226459, 1693.3994316668297, -3000...   \n",
       "2  [-123.99215718937076, 163.79359375284037, -71....   \n",
       "3  [-450.077973159284, 727.8299289144288, -395.52...   \n",
       "\n",
       "                                                pars  \\\n",
       "0  [-40.70878307662146, -3.973477028015651e-08, -...   \n",
       "1  [-318.6165336226459, 4.4070051278284836e-07, 7...   \n",
       "2  [-123.99215718937076, -1.8888261499093886e-09,...   \n",
       "3  [-450.077973159284, -2.5585868846004156, 14.72...   \n",
       "\n",
       "                                                  SE  \\\n",
       "0  [9.15959832399125, 2.0150708877561616, 2.08826...   \n",
       "1  [63.4591554610396, 4.519665747020068, 6.604803...   \n",
       "2  [18.879731789935104, 1.3204920222656424, 0.473...   \n",
       "3  [634.4799389978266, 2.3540961748065476, 11.787...   \n",
       "\n",
       "                                           LCL[Wald]  \\\n",
       "0  [-58.66126590449775, -3.9494664060320015, -19....   \n",
       "1  [-442.9941928156118, -8.858381645618142, 59.97...   \n",
       "2  [-160.99575153541952, -2.5881168074019487, -6....   \n",
       "3  [-1693.635802508195, -7.172530603364757, -8.37...   \n",
       "\n",
       "                                           UCL[Wald]  \\\n",
       "0  [-22.756300248745166, 3.9494663265624603, -10....   \n",
       "1  [-194.23887442967998, 8.858382527019165, 85.86...   \n",
       "2  [-86.98856284332203, 2.5881168036242963, -4.65...   \n",
       "3  [793.4798561896266, 2.055356834163925, 37.8304...   \n",
       "\n",
       "                                         LCL[normal]  \\\n",
       "0  [-58.61316731918215, -3.8808400331799224, -19....   \n",
       "1  [-442.41081252645785, -8.782431168288593, -85....   \n",
       "2  [-160.77629724629566, -2.6199734604617455, -6....   \n",
       "3  [-1686.9454100525002, -7.187622226459851, -37....   \n",
       "\n",
       "                                         UCL[normal]  \\\n",
       "0  [-22.028053170632916, 3.998070227056189, -10.9...   \n",
       "1  [-189.7718653484255, 8.841106056212327, -60.11...   \n",
       "2  [-85.70521711097633, 2.543150145750445, -4.638...   \n",
       "3  [836.8444837414428, 1.9815482388409698, 9.0581...   \n",
       "\n",
       "                                 LCL[nonparam_boots]  \\\n",
       "0  [-316.3081518760638, -5.32848074722165, -69.52...   \n",
       "1  [-359.9136238829165, -13.576767970445893, -75....   \n",
       "2  [-652.8869980031434, -2.6792031414217297, -17....   \n",
       "3  [-732.5386511465168, -3.5498175887075427, -18....   \n",
       "\n",
       "                                 UCL[nonparam_boots]  \\\n",
       "0  [-5.932478291854963, 1.165821676998627e-05, 29...   \n",
       "1  [-11.311272603309765, 2.7891718409460492e-05, ...   \n",
       "2  [-11.808035085460906, 5.449025360138453e-06, 1...   \n",
       "3  [-20.16019025320249, 1.7662708123775456e-05, 1...   \n",
       "\n",
       "                      LCL[nonparam_stratified_boots]  \\\n",
       "0  [-312.717360165757, -5.366003957064433, -67.93...   \n",
       "1  [-358.2240414028309, -13.432052859675473, -74....   \n",
       "2  [-625.9274200067402, -2.7741505628857963, -16....   \n",
       "3  [-702.0861321158845, -3.7385224086107587, -18....   \n",
       "\n",
       "                      UCL[nonparam_stratified_boots]  \\\n",
       "0  [-5.898273385805229, 1.0297043690149792e-05, 3...   \n",
       "1  [-11.224654531251606, 3.106507818011839e-05, 7...   \n",
       "2  [-11.578921443846555, 5.2069074437700165e-06, ...   \n",
       "3  [-20.89232171680716, 1.6020411691197513e-05, 1...   \n",
       "\n",
       "                               LCL[parametric_boots]  \\\n",
       "0  [-318.62670759218025, -6.842526840062616, -74....   \n",
       "1  [-126.9488458630649, -5.286670237445059, -52.8...   \n",
       "2  [-519.9180059874121, -3.6011828528950582, -17....   \n",
       "3  [-543.4649015614586, -4.108704793862797, -17.9...   \n",
       "\n",
       "                               UCL[parametric_boots]  \n",
       "0  [-6.428100715148776, 4.021314564962275e-06, 45...  \n",
       "1  [-14.066268776398871, -1.2283069546636276e-08,...  \n",
       "2  [-15.438422217226755, 3.5392426614192326e-06, ...  \n",
       "3  [-30.30604606678693, 8.699804942674929e-07, 10...  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt_res = dict()\n",
    "for (scale, dataset), _ in df_data.groupby(['scale', 'dataset']):\n",
    "    \n",
    "    if verbose: print(f\"Data: {scale}, {dataset}\")\n",
    "\n",
    "    # plot quantiles of models at bootstapped parameters\n",
    "    for method in [\"normal\", \"nonparam_boots\", \"nonparam_stratified_boots\", \"parametric_boots\"]:\n",
    "    \n",
    "        if verbose: print(f\"\\tmodel CI: scale:{scale}, dataset:{dataset}, method:{method}\")\n",
    "\n",
    "        # get boostrapped parameters\n",
    "        bpars = boots_pars_results[(scale, dataset, method)]\n",
    "    \n",
    "        # quantiles\n",
    "        quant = np.quantile(bpars, probs, axis = 0)\n",
    "        \n",
    "        if (scale, dataset) not in dt_res: dt_res[(scale, dataset)] = dict()\n",
    "        for lab, q in zip([\"LCL\", \"UCL\"], quant):\n",
    "            dt_res[(scale, dataset)][f\"{lab}[{method}]\"] = q\n",
    "\n",
    "\n",
    "# Joining results of bootstrapped pars quantiles with Wald CI of pars\n",
    "if verbose: print(f\"pars CI: scale:{scales}, dateset:{datasets}, method:Wald/delta\")\n",
    "\n",
    "method = \"Wald\"\n",
    "df_pars_CI_wald = df_pars.rename(columns={\"LCL\": f\"LCL[{method}]\", \"UCL\": f\"UCL[{method}]\"})\n",
    "df_pars_CI_wald = df_pars_CI_wald.set_index([\"scale\", \"dataset\"])\n",
    "\n",
    "df_res_CI_other = pd.DataFrame(dt_res).T\n",
    "df_res_CI_other.index.names = ['scale', 'dataset']\n",
    "\n",
    "df_pars_CI = df_pars_CI_wald.join(df_res_CI_other)\n",
    "df_pars_CI.reset_index(inplace=True)\n",
    "df_pars_CI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e76c0167",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>scale</th>\n",
       "      <th>dataset</th>\n",
       "      <th>idx</th>\n",
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       "      <td>-86.988563</td>\n",
       "      <td>-160.776297</td>\n",
       "      <td>-85.705217</td>\n",
       "      <td>-652.886998</td>\n",
       "      <td>-11.808035</td>\n",
       "      <td>-625.92742</td>\n",
       "      <td>-11.578921</td>\n",
       "      <td>-519.918006</td>\n",
       "      <td>-15.438422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>1</td>\n",
       "      <td>163.793594</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>1.320492</td>\n",
       "      <td>-2.588117</td>\n",
       "      <td>2.588117</td>\n",
       "      <td>-2.619973</td>\n",
       "      <td>2.54315</td>\n",
       "      <td>-2.679203</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>-2.774151</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>-3.601183</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>2</td>\n",
       "      <td>-71.447988</td>\n",
       "      <td>-5.582665</td>\n",
       "      <td>0.473537</td>\n",
       "      <td>-6.510779</td>\n",
       "      <td>-4.65455</td>\n",
       "      <td>-6.518761</td>\n",
       "      <td>-4.638781</td>\n",
       "      <td>-17.392458</td>\n",
       "      <td>15.98012</td>\n",
       "      <td>-16.977076</td>\n",
       "      <td>16.360775</td>\n",
       "      <td>-17.294441</td>\n",
       "      <td>11.708205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>plain</td>\n",
       "      <td>FULL</td>\n",
       "      <td>3</td>\n",
       "      <td>10.388715</td>\n",
       "      <td>12.798187</td>\n",
       "      <td>0.888696</td>\n",
       "      <td>11.056375</td>\n",
       "      <td>14.539999</td>\n",
       "      <td>11.013441</td>\n",
       "      <td>14.519186</td>\n",
       "      <td>-29.05284</td>\n",
       "      <td>31.472367</td>\n",
       "      <td>-30.208331</td>\n",
       "      <td>30.855975</td>\n",
       "      <td>-22.614518</td>\n",
       "      <td>29.140189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>0</td>\n",
       "      <td>-450.077973</td>\n",
       "      <td>-450.077973</td>\n",
       "      <td>634.479939</td>\n",
       "      <td>-1693.635803</td>\n",
       "      <td>793.479856</td>\n",
       "      <td>-1686.94541</td>\n",
       "      <td>836.844484</td>\n",
       "      <td>-732.538651</td>\n",
       "      <td>-20.16019</td>\n",
       "      <td>-702.086132</td>\n",
       "      <td>-20.892322</td>\n",
       "      <td>-543.464902</td>\n",
       "      <td>-30.306046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>1</td>\n",
       "      <td>727.829929</td>\n",
       "      <td>-2.558587</td>\n",
       "      <td>2.354096</td>\n",
       "      <td>-7.172531</td>\n",
       "      <td>2.055357</td>\n",
       "      <td>-7.187622</td>\n",
       "      <td>1.981548</td>\n",
       "      <td>-3.549818</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>-3.738522</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>-4.108705</td>\n",
       "      <td>0.000001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>2</td>\n",
       "      <td>-395.522946</td>\n",
       "      <td>14.727149</td>\n",
       "      <td>11.787616</td>\n",
       "      <td>-8.376155</td>\n",
       "      <td>37.830452</td>\n",
       "      <td>-37.6527</td>\n",
       "      <td>9.058127</td>\n",
       "      <td>-18.897813</td>\n",
       "      <td>17.871893</td>\n",
       "      <td>-18.021516</td>\n",
       "      <td>18.57928</td>\n",
       "      <td>-17.941727</td>\n",
       "      <td>10.773395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>plain</td>\n",
       "      <td>TRIM</td>\n",
       "      <td>3</td>\n",
       "      <td>72.296301</td>\n",
       "      <td>-26.856723</td>\n",
       "      <td>20.3718</td>\n",
       "      <td>-66.784718</td>\n",
       "      <td>13.071272</td>\n",
       "      <td>-14.486565</td>\n",
       "      <td>66.559244</td>\n",
       "      <td>-32.326619</td>\n",
       "      <td>34.100663</td>\n",
       "      <td>-33.388658</td>\n",
       "      <td>32.374259</td>\n",
       "      <td>-16.598893</td>\n",
       "      <td>30.691021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    scale dataset idx         beta        pars          SE    LCL[Wald]  \\\n",
       "0     log    FULL   0   -40.708783  -40.708783    9.159598   -58.661266   \n",
       "1     log    FULL   1   152.895716        -0.0    2.015071    -3.949466   \n",
       "2     log    FULL   2  -186.372032  -15.072423    2.088266    -19.16535   \n",
       "3     log    FULL   3    75.725981   12.365101    1.282418     9.851608   \n",
       "4     log    TRIM   0  -318.616534 -318.616534   63.459155  -442.994193   \n",
       "5     log    TRIM   1  1693.399432         0.0    4.519666    -8.858382   \n",
       "6     log    TRIM   2 -3000.777291   72.921242    6.604803    59.976066   \n",
       "7     log    TRIM   3  1772.502534  -41.150935    3.342194   -47.701514   \n",
       "8   plain    FULL   0  -123.992157 -123.992157   18.879732  -160.995752   \n",
       "9   plain    FULL   1   163.793594        -0.0    1.320492    -2.588117   \n",
       "10  plain    FULL   2   -71.447988   -5.582665    0.473537    -6.510779   \n",
       "11  plain    FULL   3    10.388715   12.798187    0.888696    11.056375   \n",
       "12  plain    TRIM   0  -450.077973 -450.077973  634.479939 -1693.635803   \n",
       "13  plain    TRIM   1   727.829929   -2.558587    2.354096    -7.172531   \n",
       "14  plain    TRIM   2  -395.522946   14.727149   11.787616    -8.376155   \n",
       "15  plain    TRIM   3    72.296301  -26.856723     20.3718   -66.784718   \n",
       "\n",
       "     UCL[Wald] LCL[normal] UCL[normal] LCL[nonparam_boots]  \\\n",
       "0     -22.7563  -58.613167  -22.028053         -316.308152   \n",
       "1     3.949466    -3.88084     3.99807           -5.328481   \n",
       "2   -10.979497  -19.192312  -10.947065          -69.528968   \n",
       "3    14.878593    9.775775   14.863761          -22.488097   \n",
       "4  -194.238874 -442.410813 -189.771865         -359.913624   \n",
       "5     8.858383   -8.782431    8.841106          -13.576768   \n",
       "6    85.866419   -85.99178  -60.113391          -75.460738   \n",
       "7   -34.600356   34.434092   47.691563           -37.33231   \n",
       "8   -86.988563 -160.776297  -85.705217         -652.886998   \n",
       "9     2.588117   -2.619973     2.54315           -2.679203   \n",
       "10    -4.65455   -6.518761   -4.638781          -17.392458   \n",
       "11   14.539999   11.013441   14.519186           -29.05284   \n",
       "12  793.479856 -1686.94541  836.844484         -732.538651   \n",
       "13    2.055357   -7.187622    1.981548           -3.549818   \n",
       "14   37.830452    -37.6527    9.058127          -18.897813   \n",
       "15   13.071272  -14.486565   66.559244          -32.326619   \n",
       "\n",
       "   UCL[nonparam_boots] LCL[nonparam_stratified_boots]  \\\n",
       "0            -5.932478                     -312.71736   \n",
       "1             0.000012                      -5.366004   \n",
       "2            29.063712                     -67.938776   \n",
       "3            38.957882                      -23.77491   \n",
       "4           -11.311273                    -358.224041   \n",
       "5             0.000028                     -13.432053   \n",
       "6            66.885481                     -74.994628   \n",
       "7            42.571711                     -40.307046   \n",
       "8           -11.808035                     -625.92742   \n",
       "9             0.000005                      -2.774151   \n",
       "10            15.98012                     -16.977076   \n",
       "11           31.472367                     -30.208331   \n",
       "12           -20.16019                    -702.086132   \n",
       "13            0.000018                      -3.738522   \n",
       "14           17.871893                     -18.021516   \n",
       "15           34.100663                     -33.388658   \n",
       "\n",
       "   UCL[nonparam_stratified_boots] LCL[parametric_boots] UCL[parametric_boots]  \n",
       "0                       -5.898273           -318.626708             -6.428101  \n",
       "1                         0.00001             -6.842527              0.000004  \n",
       "2                         32.2481            -74.060065             45.757947  \n",
       "3                        37.93698            -34.976531             41.151647  \n",
       "4                      -11.224655           -126.948846            -14.066269  \n",
       "5                        0.000031              -5.28667                  -0.0  \n",
       "6                       71.736113            -52.807832                0.0001  \n",
       "7                       42.212569             -0.000174             10.264212  \n",
       "8                      -11.578921           -519.918006            -15.438422  \n",
       "9                        0.000005             -3.601183              0.000004  \n",
       "10                      16.360775            -17.294441             11.708205  \n",
       "11                      30.855975            -22.614518             29.140189  \n",
       "12                     -20.892322           -543.464902            -30.306046  \n",
       "13                       0.000016             -4.108705              0.000001  \n",
       "14                       18.57928            -17.941727             10.773395  \n",
       "15                      32.374259            -16.598893             30.691021  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert to long format by exploding the pars, SE, LCL, UCL, beta columns\n",
    "cols_CI = df_pars_CI.columns[df_pars_CI.columns.str.startswith((\"LCL\", \"UCL\"))].tolist()\n",
    "cols = [\"idx\", \"beta\", \"pars\", \"SE\"] + cols_CI\n",
    "\n",
    "df_pars_CI_long = df_pars_CI.explode(cols, ignore_index=True)\n",
    "df_pars_CI_long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4084084d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{lllllllllllllllll}\n",
      "\\toprule\n",
      " & scale & dataset & idx & beta & pars & SE & LCL[Wald] & UCL[Wald] & LCL[normal] & UCL[normal] & LCL[nonparam_boots] & UCL[nonparam_boots] & LCL[nonparam_stratified_boots] & UCL[nonparam_stratified_boots] & LCL[parametric_boots] & UCL[parametric_boots] \\\\\n",
      "\\midrule\n",
      "0 & log & FULL & 0 & -40.708783 & -40.708783 & 9.159598 & -58.661266 & -22.756300 & -58.613167 & -22.028053 & -316.308152 & -5.932478 & -312.717360 & -5.898273 & -318.626708 & -6.428101 \\\\\n",
      "1 & log & FULL & 1 & 152.895716 & -0.000000 & 2.015071 & -3.949466 & 3.949466 & -3.880840 & 3.998070 & -5.328481 & 0.000012 & -5.366004 & 0.000010 & -6.842527 & 0.000004 \\\\\n",
      "2 & log & FULL & 2 & -186.372032 & -15.072423 & 2.088266 & -19.165350 & -10.979497 & -19.192312 & -10.947065 & -69.528968 & 29.063712 & -67.938776 & 32.248100 & -74.060065 & 45.757947 \\\\\n",
      "3 & log & FULL & 3 & 75.725981 & 12.365101 & 1.282418 & 9.851608 & 14.878593 & 9.775775 & 14.863761 & -22.488097 & 38.957882 & -23.774910 & 37.936980 & -34.976531 & 41.151647 \\\\\n",
      "4 & log & TRIM & 0 & -318.616534 & -318.616534 & 63.459155 & -442.994193 & -194.238874 & -442.410813 & -189.771865 & -359.913624 & -11.311273 & -358.224041 & -11.224655 & -126.948846 & -14.066269 \\\\\n",
      "5 & log & TRIM & 1 & 1693.399432 & 0.000000 & 4.519666 & -8.858382 & 8.858383 & -8.782431 & 8.841106 & -13.576768 & 0.000028 & -13.432053 & 0.000031 & -5.286670 & -0.000000 \\\\\n",
      "6 & log & TRIM & 2 & -3000.777291 & 72.921242 & 6.604803 & 59.976066 & 85.866419 & -85.991780 & -60.113391 & -75.460738 & 66.885481 & -74.994628 & 71.736113 & -52.807832 & 0.000100 \\\\\n",
      "7 & log & TRIM & 3 & 1772.502534 & -41.150935 & 3.342194 & -47.701514 & -34.600356 & 34.434092 & 47.691563 & -37.332310 & 42.571711 & -40.307046 & 42.212569 & -0.000174 & 10.264212 \\\\\n",
      "8 & plain & FULL & 0 & -123.992157 & -123.992157 & 18.879732 & -160.995752 & -86.988563 & -160.776297 & -85.705217 & -652.886998 & -11.808035 & -625.927420 & -11.578921 & -519.918006 & -15.438422 \\\\\n",
      "9 & plain & FULL & 1 & 163.793594 & -0.000000 & 1.320492 & -2.588117 & 2.588117 & -2.619973 & 2.543150 & -2.679203 & 0.000005 & -2.774151 & 0.000005 & -3.601183 & 0.000004 \\\\\n",
      "10 & plain & FULL & 2 & -71.447988 & -5.582665 & 0.473537 & -6.510779 & -4.654550 & -6.518761 & -4.638781 & -17.392458 & 15.980120 & -16.977076 & 16.360775 & -17.294441 & 11.708205 \\\\\n",
      "11 & plain & FULL & 3 & 10.388715 & 12.798187 & 0.888696 & 11.056375 & 14.539999 & 11.013441 & 14.519186 & -29.052840 & 31.472367 & -30.208331 & 30.855975 & -22.614518 & 29.140189 \\\\\n",
      "12 & plain & TRIM & 0 & -450.077973 & -450.077973 & 634.479939 & -1693.635803 & 793.479856 & -1686.945410 & 836.844484 & -732.538651 & -20.160190 & -702.086132 & -20.892322 & -543.464902 & -30.306046 \\\\\n",
      "13 & plain & TRIM & 1 & 727.829929 & -2.558587 & 2.354096 & -7.172531 & 2.055357 & -7.187622 & 1.981548 & -3.549818 & 0.000018 & -3.738522 & 0.000016 & -4.108705 & 0.000001 \\\\\n",
      "14 & plain & TRIM & 2 & -395.522946 & 14.727149 & 11.787616 & -8.376155 & 37.830452 & -37.652700 & 9.058127 & -18.897813 & 17.871893 & -18.021516 & 18.579280 & -17.941727 & 10.773395 \\\\\n",
      "15 & plain & TRIM & 3 & 72.296301 & -26.856723 & 20.371800 & -66.784718 & 13.071272 & -14.486565 & 66.559244 & -32.326619 & 34.100663 & -33.388658 & 32.374259 & -16.598893 & 30.691021 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# to copy and past in latex\n",
    "print(df_pars_CI_long.to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d60267f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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