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   "cell_type": "markdown",
   "id": "078900c6-d71d-44f0-9e76-cc5ce66f0ca9",
   "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",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "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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       "  <thead>\n",
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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>...</th>\n",
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       "      <th>0</th>\n",
       "      <td>log</td>\n",
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       "      <td>2.480642</td>\n",
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       "   scale dataset                                               beta      cost  \\\n",
       "0    log    FULL  [-40.70879238812607, 152.8957647496496, -186.3...  4.605007   \n",
       "1    log    TRIM  [-318.6295012184169, 1693.473724940219, -3000....  1.700810   \n",
       "2  plain    FULL  [-123.99234400216831, 163.79386663520955, -71....  4.782070   \n",
       "3  plain    TRIM  [-450.0723782641686, 727.8203052184903, -395.5...  2.480642   \n",
       "\n",
       "                                            cost_jac    |cost_jac|      nllf  \\\n",
       "0  [-2.2484113981589707e-09, -1.9333178239370034e...  2.046443e-08  4.602970   \n",
       "1  [-2.0055959674926058e-08, -1.1114669329515333e...  2.034570e-08  1.592274   \n",
       "2  [7.830915262486797e-08, -1.9339516139309852e-0...  1.343274e-07  4.766501   \n",
       "3  [2.579372181956644e-08, -6.579825741095688e-08...  4.577027e-07  2.277132   \n",
       "\n",
       "                                            nllf_jac  |nllf_jac|  \\\n",
       "0  [8.141533636485399e-05, -1.9333021234209853e-0...    0.000090   \n",
       "1  [0.0006372389464771588, -1.11142152491721e-09,...    0.000659   \n",
       "2  [0.00024806299715696145, -1.9339448694793508e-...    0.000250   \n",
       "3  [0.0009001705502501567, -5.183001567519302e-06...    0.000902   \n",
       "\n",
       "                                                 cov  ...        AIC  \\\n",
       "0  [[83.89826491201164, -2.9184331697400807e-07, ...  ...  17.205940   \n",
       "1  [[4027.2648671086577, -8.248172244646106e-07, ...  ...  11.184547   \n",
       "2  [[356.44481504112196, -2.750582184422226e-07, ...  ...  17.533001   \n",
       "3  [[402574.9966021088, 1096.7100253286342, 7382....  ...  12.554264   \n",
       "\n",
       "         BIC         A      chi2  p-value(chi2)   n  k  dof  \\\n",
       "0  25.447712  0.948276  8.316716            1.0  58  4   54   \n",
       "1  19.356752  0.982456  2.348786            1.0  57  4   53   \n",
       "2  25.774773  0.965517  9.164978            1.0  58  4   54   \n",
       "3  20.726469  0.964912  3.848711            1.0  57  4   53   \n",
       "\n",
       "                                                pars  success  \n",
       "0  [-40.70879238812607, -7.850258009014888e-08, -...     True  \n",
       "1  [-318.6295012184169, -2.2704017161660974e-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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       "      <th>3</th>\n",
       "      <td>-2.729586e-04</td>\n",
       "      <td>-2.657260e-03</td>\n",
       "      <td>-5.475903e-02</td>\n",
       "      <td>-1.203419</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              0             1             2         3\n",
       "0 -8.394307e-11  2.882494e-11 -8.444279e-07 -0.000273\n",
       "1  2.882583e-11 -2.508422e-09 -1.022528e-05 -0.002657\n",
       "2 -8.444279e-07 -1.022528e-05 -9.979564e-04 -0.054759\n",
       "3 -2.729586e-04 -2.657260e-03 -5.475903e-02 -1.203419"
      ]
     },
     "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": "a30acefd-f364-407e-8ff6-ae9a51ddec16",
       "rows": [
        [
         "0",
         "log",
         "FULL",
         "17.205940435131808",
         "25.447712477317488",
         "0.9482758620689655",
         "58",
         "4",
         "2.046442880499183e-08",
         "54",
         "4.605007497171715",
         "8.31671616169073",
         "0.9999999999999134",
         "True"
        ],
        [
         "1",
         "log",
         "TRIM",
         "11.184547010573452",
         "19.35675208191165",
         "0.9824561403508771",
         "57",
         "4",
         "2.0345701145367986e-08",
         "53",
         "1.7008095126370923",
         "2.34878603601998",
         "1.0",
         "True"
        ],
        [
         "2",
         "plain",
         "FULL",
         "17.533001008122604",
         "25.77477305030828",
         "0.9655172413793104",
         "58",
         "4",
         "1.343273729739962e-07",
         "54",
         "4.782069565506929",
         "9.16497803368794",
         "0.9999999999992063",
         "True"
        ],
        [
         "3",
         "plain",
         "TRIM",
         "12.554263763447134",
         "20.726468834785337",
         "0.9649122807017544",
         "57",
         "4",
         "4.5770265264824767e-07",
         "53",
         "2.4806417335231425",
         "3.8487113778480633",
         "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>2.046443e-08</td>\n",
       "      <td>54</td>\n",
       "      <td>4.605007</td>\n",
       "      <td>8.316716</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>11.184547</td>\n",
       "      <td>19.356752</td>\n",
       "      <td>0.982456</td>\n",
       "      <td>57</td>\n",
       "      <td>4</td>\n",
       "      <td>2.034570e-08</td>\n",
       "      <td>53</td>\n",
       "      <td>1.700810</td>\n",
       "      <td>2.348786</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>1.343274e-07</td>\n",
       "      <td>54</td>\n",
       "      <td>4.782070</td>\n",
       "      <td>9.164978</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>12.554264</td>\n",
       "      <td>20.726469</td>\n",
       "      <td>0.964912</td>\n",
       "      <td>57</td>\n",
       "      <td>4</td>\n",
       "      <td>4.577027e-07</td>\n",
       "      <td>53</td>\n",
       "      <td>2.480642</td>\n",
       "      <td>3.848711</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  2.046443e-08   54   \n",
       "1    log    TRIM  11.184547  19.356752  0.982456  57  4  2.034570e-08   53   \n",
       "2  plain    FULL  17.533001  25.774773  0.965517  58  4  1.343274e-07   54   \n",
       "3  plain    TRIM  12.554264  20.726469  0.964912  57  4  4.577027e-07   53   \n",
       "\n",
       "       cost      chi2  p-value(chi2)  success  \n",
       "0  4.605007  8.316716            1.0     True  \n",
       "1  1.700810  2.348786            1.0     True  \n",
       "2  4.782070  9.164978            1.0     True  \n",
       "3  2.480642  3.848711            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",
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       "  </thead>\n",
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       "      <td>66.785318</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    scale dataset idx         beta        pars         SE          LCL  \\\n",
       "0     log    FULL   0   -40.708792  -40.708792     9.1596   -58.661278   \n",
       "1     log    FULL   1   152.895765        -0.0   2.015071    -3.949467   \n",
       "2     log    FULL   2  -186.372111  -15.072427   2.088266   -19.165354   \n",
       "3     log    FULL   3    75.726021   12.365103   1.282418      9.85161   \n",
       "4     log    TRIM   0  -318.629501 -318.629501  63.460735  -443.010256   \n",
       "5     log    TRIM   1  1693.473725        -0.0   4.519632    -8.858316   \n",
       "6     log    TRIM   2 -3000.918447  -72.923073   6.604796   -85.868236   \n",
       "7     log    TRIM   3  1772.591526   41.151837   3.342187    34.601271   \n",
       "8   plain    FULL   0  -123.992344 -123.992344  18.879746  -160.995967   \n",
       "9   plain    FULL   1   163.793867        -0.0   1.320491    -2.588115   \n",
       "10  plain    FULL   2   -71.448119     5.58267   0.473536     4.654556   \n",
       "11  plain    FULL   3    10.388736  -12.798198   0.888696   -14.540009   \n",
       "12  plain    TRIM   0  -450.072378 -450.072378  634.48798 -1693.645967   \n",
       "13  plain    TRIM   1   727.820305    2.558602   2.354098    -2.055345   \n",
       "14  plain    TRIM   2  -395.517473  -14.727044  11.787852   -37.830808   \n",
       "15  plain    TRIM   3    72.295273   26.856542  20.372198   -13.072233   \n",
       "\n",
       "           UCL  \n",
       "0   -22.756307  \n",
       "1     3.949466  \n",
       "2   -10.979501  \n",
       "3    14.878595  \n",
       "4  -194.248746  \n",
       "5     8.858316  \n",
       "6    -59.97791  \n",
       "7    47.702403  \n",
       "8   -86.988721  \n",
       "9     2.588115  \n",
       "10    6.510785  \n",
       "11  -11.056386  \n",
       "12  793.501211  \n",
       "13    7.172548  \n",
       "14    8.376721  \n",
       "15   66.785318  "
      ]
     },
     "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": 13,
   "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",
    "    plot_labs={\"log\": \"C\", \"plain\": \"D\"}\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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/n3JtxeTb1RUOSnAQtpiq2R/Fgd+hw8cdN0DnR8uoVtiS1Ju6e8sOojtwgBRdNDs27+H3v1bz756tFOnVn0M5kFnj/a05tliM0WAgNCAQgyGIUmMEIcHBOKIcHOqyn+yYcoZub84VO6MoDDWypoWZ1ckHianU0/VwEWFmCLNAqFm9IeBvB38bHI5PYF+zluh1elqYAnjo5w1UBgaxN1rP7ggrfjo/WpUFE+YIZFezeP5pFUKx0YTe5iCqpBhFr8eu0xFgsaBT1BkdHFbKlWxMwcGgMxJrDcYYFM1dV/eleWIEWIrBkg/dn6n3TEBJSQkRERFuOz/K+biRrV0Lffse+TwhATp2PHI+GDz4yNdLStTzgfNcoNerH53ngvh49R+oM6VpaUfGrXkeAPU845yJtVhg//5jY6vIhrQvITruyLg2OxyquttnK1cvhFtdB0FVkzgREZBYdfltt8OePSf+3sPCIFmdwquwVjB+2UTezVuIgkKwLoB7Y87n7JAu6HQ6lKBAbLEx1W/1O5hBpD6ERL9INRTFzh6L+reuXUQb7M3UVCizIofKfbvBXAA5f6g/h4os0BlBb0Tx02GL8q9aem/FryyGUIeeZs2ugED1HLbDnAFAG2MQin0p+IWT7YCyrAJ09ho3CmxmcFRC/FkowbHYkhOrv2TMyiHEpqOF/5HZ793mw9hxkBqYhK5NGwDyzIUUp+9Gd8IZdB3W5kemPY05eQRY7LT2PzKJts+SjUWx0dwvBr/2aoGvQksJBYd2oas48Qy6tVly9e+JMb8AY7mZdgFJ1V9Pt+RSrlhINkYR2LYjGAyUWk3kHNqJ7iQz6NbkRPX3FDAUFqEvM9HBPxld1bEyrAWUOipIMEYQmtoBxd8fk62Cw5k70ddYYafYHWzbtY816zeza08aW8pM1fMCUUAMEJAHuqp7LNYwsAeB3gL9LUZeqHQQpXfwzGCYdubRMQZYdQTZAgmx+xNpNtIht5RAux/+DgMBDgPNTEEMz4rFZjSyrk0Ca+IrMaCjjTmR1LxyrAYd+wJyKacEBR2KTg8KlIeEYAlQr6MsBiOBZgvodBhtVoLMZqKsQbStiEYBssKM7AorQYeOBJKJMatnwoNkYLEVHBWvOcAfS9X1mdVoxM+m3ubW2+yEVFQQYQugbXkMenTkhxjYGV6GXecgXkki1qye3zP02ZgtOUeP6+ePJfA449oVQspNhNsCaF0RhZ9ioChQz47Icsx6K/EkE1+p3onI1udjsmQeNa7Vz4/KwIBjxtU5FEJNJkLs/rSuiCLQYaQswMDWqHLK9WbiSSaxUo0nV19MqSX9qHFtRgMVVdfWVqNf1bjqNWFYUT5BJRm0KQ8jyBFApVHPvubRXHNeV7q3T2jU87HHzcwnJiaS/Z87sdnZ2YSHhx83kQcICAggIOA4a0iE8HRlZTBtmrqUcPFi6NlTTaDPPRfatlUT8datq090x9W9e+2P17YX0BuKt0FoC45eBKxA2R6I6ALByRCiVy8cayMu7qgleO9tXECFYqFLeFsu7HgJRXozKBDhF0ZEczXempcirUg9/rjhQMrxv1QVMQChxmDatToTdJlYsn9X9zv6h9Lcea9VUcBaBPpAiO0FLc84/n7HdBOU7sERrJ4cAvVG2kXGQSRYyg9AWGdo0YfkE+2fCgdO8iNzztP46/1oH9cR4o7+OcSTSvyJ3hx74uWozstFvU5P+5j2ENMee43nY0gl5gTvJartCce11XjcLrI1RKrbKpwxR1T9O66INrUa15xhZvYvm5j/23IKCo9/4yY4KJA2qS1o1SKF1JbNaNUihYT4WGKjo4iMCmNx4d98f3Ah64p2smzYDJrpIojatIc5O2azbdcOrvo7g34HD8LNN8OECWqyU1oKvXurS3fbtoWObaBlSzV5SElRl/9WLeutqTlw9n+e6wNce8LvtgbFAdueV4vr1NxTC+rvaMUhiO6ttsVpouR83Mi6doURI9RzwZlnqr+X/028ncLD4YwzajduYKB6U6A2/P2PvxxeaQch29TzCXGo+8sN0CoW9XxSCBG9oO1x/t6Cel472TL7Gmbs+pSZeerWsEtShvJQh7EkBsWd+A1d1HNKzb+vrVH/1tWch08Oiocu8TX+/u9Wl+lYCtSb3ujU/zdtFeAfC2GhEN4eS4s+1d9T66rzl6I4IH03lO4hIbglCc3/M21cfgDCukKLC4/9eYQfG2/L45wXYwOiiG3X78Tf938dZ9xmxxk3yj+cqNZ9j3m+LuMmHmfcML8QwlJ712Fc9UPNlVJxpOL8L+0854cYg2jboicAmVk5/PDTQn746TcOn+CmtzkokKDUFvTqnshlFgu9cvJIO38YP3Q28XnOXDr7DyXpf3PBAbdmp7CnUOG04LZ0TehG19QBNBtwLrr4E56dj1LL/wOF1prQ+djjkvmBAweyYMGCo55btGgRAwcO1CgiITRSWQkXXQTLl6ufv/uuuqfR4VCT+p49XX9MnR4Sz4GKw2riHpAIxiD1QsWcBf5RkDi8QcU+LHYLs/Z9D8DtbUfRM6qRWvHo9BA3SK1CXLJTXWJnVGe2sZWqf7hDW6uvOd73p9ND7OlQmaNedPnHqoXz7JVgyVMv7GIHSuEiF9mxex8z3vmE3/9cfczXIsJD6de7O317daNvr650bNcao/HYG1prC7Yybv1Udpaqs4YGnZ5DbzzHmT/uAYuFsTVfnJKizgi2bavOUiqKuiLGWZ+hMej0arsb00G1uE5QM3Upn82kXjgExEKzy+R3zJdZLPDYY/Dww+qe34yMk9cj0VIjnE+cHul0K4Nie7OleDfDE91wvVjz77+tQp2ZtxSB3h8cFtAb1T3y/hEnPg/IOaRRZRzO5pW3PmL+b8uPKTYXHBxEv97dGHhaT07v0YVemVlE/LKUkN9XVK+WiDitFz/FxVKUUcqmVCO2P5dj7NGL1mFhfKvFNyQaVxM6H2u+zL6srIw9VcukevXqxSuvvMKQIUOIjo6mRYsWPProo2RkZPDpp58Camu6rl27cs8993DzzTezdOlSxo0bx/z582tdzd7dywiFcDubDa66Cn78UZ1NefZZGD78SBEYdyvdC1mLoHQfOMxq9fewNuqFV9iJZ1Rr49v0BYxa8SDxATEsHfoJfvpGvudoSofMBVC0CaxVe538wiCyOyRfcOq7rKZ0yPtb/QPvsKgXcyEt1IuwJjxj6in2pR3kjfc+Z8Gi5Uc97+/vx7CzBnLJ+UM58/S++BlP/HuTby7ipR2zmH1oEQBRfuH8r9OtjGl1KUkjrlS3fTRvDmefDcOGqR9btnTjd1VHx+1r20m9cGhgX9vGPj/K+diFTCa44gpYuBD69IEvv9Q6otpx4/mkpmJLqVoTxJ2cf/+Ld0DlYbBVgjEQApIgslPtzgNyDnGrsjIT7378DR9/NQeL5cgcvl6vZ/Dpp3HVZedx1qDT8LfZifpyNlFfzsZQrF4L/NoWYhJSaTXsCirPPwelU0f+PPAno7qOwtjY1yqiaWgC52PNf/PWrFnDkCFDqj8fP348ADfddBMff/wxhw8fJj39yB6G1NRU5s+fz4MPPshrr71Gs2bN+OCDD5p8W7qbb76Zjz76iOjoaDIzM2WZoag/RVH3vP/4o1oB/O234bTTGjeGsDYQmgrlmWA3gSFEXVrvgjuQ7+z+CoCrWpzX+Ik8qBdLbW+HihyoOKg+F9QcguJr9/2FtIDgZursir1C3X8fWMv3ihOy2mzM/PAr3vnwK+z2I4WhEuJjuWPMKC45fyhhoSeoTlfDHzlreHj9NIptahWjm7cH8sKEBcTGtVT32H7wAbRqpS5LPtFyZK1FdFLb3ZjS1VUjxjD1905+x04oLS2N1NRjl/EGBwfTpk0brrjiCh566CFCnZ0aPNFDD6mJfHAw3H231tHUnhvPJzWV2U5SvNVVav79t5WrdVIMwWqNmdqeB+Qc4haKojD750W89Oaso7ZkRUVGMHrUJVxx8bkkJsQd9fqI2QswFJdSnhLPozck8XrQRlpH6Vh20ziahTdDp9Nxfffrtfh2RFPRBM7Hms/Ma6GxZwJKS0tJSkqivLwcRVH4+uuvGTVqlNuPK7zUpElqKze9Ht54Q52R9xLbi/fSecEF6NGzdOgnJJ1sT6PwGWnpGfzvyRfZtHVn9XPRURHcMeYarr3iQgKqCgCdyvztc3lk70xsOoWeh+Ht+TDQFKW2PuzVy13hexRvnZl3JvNt2rThhhtuANSL9dzcXH755RfS0tIYMGAAf/31F4aT1RhpqkpKIClJrVb/wQdH2s0JLvvjbhKDYrm25UUkBco5xReVmcqZPO115i1cVv2cn58fN117GXeOvUa9EWy3E7p0BWXDzlCvr4xGQlesIUNXwh36BazP3gDAnX3u5NXzXiXQeJxeokK4kMfMzPuCb775BpPJxPjx45kxYwazZs2SZF7Uj90O27erj6dM8apEHuDdPV8DMCxxoCTyAkVR+HbOL0x79V0qKtUK6AaDnttvGsVtN11NSHDteuoY8vL5Zu5zTErcCjq1t/tH+7vj//T9cO21R3eCEF6tbdu2PPXUU0c9ZzabGThwIKtWrWL58uUMHTpUm+Aa4quv1ES+ffvaF7HzARnl2czNWIIOHTe0vETrcIQGduzex/0TnyUtPaP6ufOGn8nD995C8xS1I0DAzj3ET3uDoK07yX78QYpvvg7CwvhnWCljfxxLkbmI8IBwZl0yiys7X6nVtyLEcUky3whmzZqF0WjkkUceYePGjSxZsoQDBw7QsintwRSewWCAr7+GL76AQYO0jsalym0VfLL/RwCubn6+tsEIzVltNh6fOoMf5y+ufq5VixRefPp/9OhayyraqDcEXtn+IW8nbgVg3IFEXr37M/RDhzXdZfSiUQUEBDBkyBDWr19PXp6b91S7y/vvqx+vvFJ+r2uIC4jil8Hv80fuGuIDT9iTQ3ip7+b+ypTpb2M2q3XzQ0OCefaJBzlvmLpyRVdeQezMT4n8Zi46hwN7aAhKTDSEh7O3YC83z72ZInMRvRJ78cPVP5AadYLOOUJoSDbguNm2bdtYtWoV5557LgkJCdx44404HA4++ugjrUMTnqq01OsSeYCvD8ynyFpCy5AUzoirQysa4XVM5RXc+eDkoxL5USMvYM7nb9U6kdcXqXsi/8xdy9slSwCY2mIsMz7IQD9suCQ8oprFYmHZsmXodDp6uqMLiLutX6/2k/f3h4sv1jqaJsXf4M+IpDO5ufUVWociGpGiKLz5/uc8PnVGdSLfuUMbZn/2ZnUi73foMC1ufpCor+agczgoufQ80lb9SsnoqzlYfJAxc8dQWFlIr8ReLBuzTBJ50WTJzLybzZo1C4DRo0cDMHLkSO6++24++ugjnnzySfSNVX1ceL5PP1X7x5c3QhEfDbyzRy18N6r5+eil0I/Pyi8o4vYHnmDL9t2AWqV++jOPVF+AnYrOVE7cmx8S9stSDnw9k7M6DOOduGgMeiO39bnNnaELD7Bnz57qZfaKopCXl8fChQvJyMjgxRdfpH379toGWB+pqWr7uV27IDpa62ianHJ7BQ7FceoXCq+gKArT35jFrM++r37u2isu4tEHb6+urxK0ZiPJE6diKC7FFh9L1hvTKB92FgDZZdmMmTuGHFMOHWM7smj0IsIDpNOGaLokmXcjq9XKZ599Rnh4OJdddhkAoaGhXH755Xz++ecsXryYc889V9sghWfYvh1uugkCA+GPPyAiQuuIXGp9wTbWFGzBX+/H5c28qw6AqL2Dhw5zy7hJHDiYCUB4WCjvvPwUfXt1rdX7A7bvJunR5/DPOAxA6MbtlJw+kJtb34K/oXZF8oR327t3L08//fQxz1900UUM99QaJJGRcMcdkJamdSRNys8ZS/kj519GJJ5Ji5AkrcMRjcDhcDBl+tt8+f286uceffB2xlw38qjXKUYDelMFFT26kPn5O9iTEgAorChk7NyxHCo5RGpkKktvXEpMsGzPEE2bTH+50dy5c8nNzeWqq64iMPBI1csbb7wRODJrL8QpvfOO+nHwYK9L5AFiAiKZ1OVOxqaOJDogUutwhAaysnO58a4J1Yl8QnwsX7z3Uu0SeUUh8tufaH7LePwzDlPYIp6rZgxixw3nkRCSIIm8qDZixAgURan+l5eXx9y5c9myZQuDBg1i9erVWodYP8XFp36Nj/l43xxe2vEhP2YsPvWLhcez2+1MmvJqdSKv0+l45tFxxyTyAJV9e3Loy5kcmv9VdSKvKAqTlk5ib+FeksOS+f2m30kKk5tAoumTmXk3cibrzuTdadiwYaSkpDB37lwKCgqIlmVx4mTKyuCTT9THXtoFoUVIMk91vY99ZQe1DkVooKi4lFvum0RmVg4AbVJb8MHrU0lOjD/le/WlZSRMeZWw31cAUDZiCHeNjuD7PT+yY8E9bLpzk1tjF54tJiaGSy65hODgYM455xwef/xxFi1apHVYtXfPPWpbxf79ISBA62iajApbJb8e/hOAYQkDNI5GuJuiKEx96R1mz1P/39Xr9Tw/+SEuvWCY8wXEvPc5JSPOxtq+DSQkUNG8+VFjzNkxhyX7l+Cn92P+dfNpGSlFqoVnkGTeTQ4ePMhvv/0GwODBg0/4us8//5xx48Y1VljCE33xhdpDuE0bGDhQ62jcpszmnbUAxMlVVFZy54NPsmd/OgDNU5L45O3niYut3U3OmPe/IOz3FShGI7lP/Y+iO27i1pKDbC/dx1vnv4VOCt2JWujfvz8A//77r8aR1MGOHfD222pP7GXLICFB64iajN+y/qLcXkGzoEQ6h7fVOhzhZh9+/kP1jLzRYOCV5x5lxNCqFo2KQuxrHxD9xQ9EzP2V/at+RTEem/4MaTWEEW1GMDR1KD0TezZi9EI0jCTzbvLxxx/jcDg444wz6NChwzFft9lsfPLJJ8yaNUuSeXFiigJvvaU+HjVKvWjzMj8cXIifzkin8DZahyIamdVm4/6Jz7J+83YAYqOj+PDNZ2udyAPk3TsWvdlC0Z1jMPfuDkBqZCr/3vavLK8XtVZYWAioe249hnOr3tChksj/x9xDageL4YkD5Yael/tl8R+8+PoH1Z8/+8SDRyXyMe98QvQXPwCQP2EcSsTxi9lFBUXx3VXfEeIf4vaYhXAlSebdQFEUPvroI3Q6HZ988gmtW7c+7ut27drFypUrWbNmDX379m3kKIVHWLECNm+GoCCoKqLoTRRFYdLGV9lZup+Xek7g4pQhWockGomiKDw+dQbLV6gzoaEhwXzw+lRaNEs+5Xv9DmZiTUkEvR4lMZHs914BILM0k+SwZOJD4iWRF3Xyyivq79BZZ52lcSR18PPP6kcvPDc01NIctfbBGXF9NI5EuNPajVt5ZPL06s/vu300l114pJBl9IdfEfPR1wBkPzeJ4jHXHDPGttxtdIrtRGRgJGEBYe4PWggXk2TeDZYuXcr+/fsZPHjwCRN5gLFjx7Jy5UpmzZolybw4vm3b1Ar2l1zilYXvLA4r5yWdicVhZUh8P63DEY3ok6/mVPeR9/f3452Xn6JTh1OvzghevY7k/z1D0eUXkPfsYxCmXnz9k/EPY34cw+geo/nwkg/dGrvwXDVb0wEUFBSwYsUK1q1bR1RUFC+88IJ2wdWF3Q779qmPu3TRNpYmJq3sEAdMGRh1BnpHyc/GW6WlZ3D3Q09hsVgBGHnROdxz63XVXw/7ZSmxMz8FIOep/1F8+43HjPFvxr+MnjOaC9pdwOxRsxsncCFcTJJ5N3AWvhszZsxJXzdq1Cjuv/9+vvrqK1555RWCgoIaITrhUW6/HS688MhFm5cJMPgzo88kHup4MxX2Sq3DEY3kn7WbjloWOf2ZR+jXp/sp3xe8eh3JD05Gb7USkJ5RXfDL5rAx9Y+p2BU7fno/WVYrTui/rekCAgJo1qwZd911FxMnTqRFixYaRlcHGRlgtYKfnyyx/49lOf8A0D2yIyFGua7yRuUVldz7v2coKi4FYFD/3jwz6f7qv/2BW3aQMPVVAAruHkvRvbced5wtOVsw6A3EBsfKai7hsSSZd4Mvv/ySL7/88pSvCw8Pp7xcin6JUwgK8uqLNbvDTqXDrHUYopFkZefywGPPYbere5PvGDOK84adecr3BW7cRvLDT6O3WikbMYTDH74O/urF1zdbvmFn/k4iAyOZNmyaW+MXnqlVq1YoiqJ1GK6zd6/6sUULMBi0jaWJWZ6jbt05LbqbxpEId1AUhaeef4Pd+w4A0Da1Ba89Pwm/GkXtrCmJVHZujyM+jrynHjnhWGN7jeXiDhfTKbaT2+MWwl0kmReiqTN7Z6J7qDyLXSX76RHZ0bsussUJWSwWxk18lvyCIkCdTbn/zmOXPv5XwM69pDzwBPpKM6azBnL4w9dRAtREvqCigNdWvwbAlCFTiAmOcVv8QjQZOTlgNMJ/2msJWFa1X/60mK4aRyLc4bsff2XuArXAYXBwEG+8+ARhoUcXrbNHRZLx1XsQHHzSwsF6nZ7+Kf0x6OWGmPBc3lcaWwhv8fTT0KMHfPaZ1pG4xaf7f2TY72O4afVErUMRjWTqyzPZuGUHAClJ8bw8dSKGU8wq+qUdJOW+xzCUmSg/rSeZn71dncgDzFg1g2JzMV3iunBn3zvdGr8QTcaoUVBRAVWF+4QqrewQaaYMDLJf3itt3bGbKS+9Xf35s5MeoHWrqhtaDgfBq9aqj8PDUeJiUUKCjzvO99u+Z3vudmKCYiSRFx5PknkhmqrVq2HTJjCZtI7ELb4/uBCA02N7aRyJaAzzFv7ON7MXABAQ4M8bLz5BVOTxWwTVFLhrL4biUiq7diTzmw+OujhLL07nu23fAfD2hW9j1MtiM+FDDAYIkTZaNTmX2HeP7CD75b1McUkp4yY8W13wbvSoS7jg3MHVX4/85iea3TeJmPe/gJgTr9A6WHyQp5Y9xeXfXE56cbrb4xbC3eTKR4imav169WPnztrG4QZ7S9NZX7gNg87A0IQBWocj3OxQZhaTp71R/flTE+6lS8d2tXpv6bln40iIp/KMgTjCj24b9MG6D3AoDs5pfQ5ntfSglmJCuILFonUETY6z+J3sl/cuiqIwacqrHMrMAqBH1448cv9t1V/333eA2DfV4tO21q1OOtb0v6djdVgZ0moI3RNOXXhViKZOknkhmqKsLPWfTgft22sdjcv9eEhtSXZ6bC+i/b2v5Z44wmaz878nX6TMpBb7vPi8IYy8+NyTv8nhQFdRqc7Ch4VhuuzCY16SXZbN7O1qK6EnznrC5XEL0aSdey5ERcEDD5x0FtLX3N/hRtqFtaR9WCutQxEu9P3cX1m07G8AIiPCmDHtMfz9/NQvWq0kPvEieosV05BBFN9y/QnHWZO5hoV7F6LX6XntvNek84nwCpLMC9EUbdigfmzd2iuXUS7JXgnAGXF9NI5EuNvMj75m3cZtAKQkJzB5wr2nfE/Mu58RuvQvMt9+HmurVsd9zccbP8bqsDKg2QDObHnqavhCeI2iIli0SH08YYKmoTQ1PaM60SokhZzKfK1DES6Slp7Bsy/PrP78uSfGk5wYX/15zHufE7hrL/bICLLeeF6dBDkORVF46e+XABjbcyzdEmT1hvAOsmdeiKbIi5fYWx1W/shdA8CAmB4aRyPcaf2mbbw96wsA9Ho905955Jiqw/8V9uvvxHz4FQFpBwncf/C4F2bFlcV8veVrAB4/83HXBy5EU7Zvn/oxNhZCQ7WNpQmqsFdqHYJwEavNxsNPvEBFpdrVZ9Tl5zNs8MDqrwdu2EL0p2rdlOxXnsFeI8n/r38y/mF91noCDAFMHTrVvYEL0YhkZl6IpsiZzHfsqG0cbrCmYAsmWznR/hGyFNKLlZWZePiJF6v7yd99y7X06XHy6tIBW3eSMEWtzl1w91hKR11+3Nd9vvlzyq3ldInrwgXtLnBt4EI0dc5kvkULbeNoYj7ZNwej3kD7sFQi/OQmhzd46/0v2LxtFwCtWqQw8cE7qr+mq6wkafJ0dA4HxVdfStkl5510rHfXvguoveUTQxPdF7QQjUxm5oVoilq0UPfKd/G+1jpLs1cB0D+mB3qd/AnyVs+9+m51saJe3Ttz183XnfT1+jITSY9NQ2+xUjZ8MHmT/3fC127I2gDApDMnyZ5H4Xv27lU/So/5ozyz9S1uWPk/NhRu1zoU4QJrNmzh3Y+/AcBoMPDSlAkEBwVWf10JCCD3vluo6NOd3BeePOlYm7I3seLgCox6IxMHSTtc4V1kZl6Ipuill+CJJyA7W+tIXO737NUAnBYj+9W81e9/ruaHn34DIDg4iOnPPILRePJevvEvvoV/ZhbWZklkvfey2nbrBN676D125u3kgvYyKy98kHNmvlkzbeNoQmwOGyObncPv2avpE+V929N8TZmpnEcmT8fhUFd23XfHaLp1/k8xYJ2OsvOHUXbrjSfcJ+/03tr3ALim6zW0jGzplpiF0Iok80I0VWaz1hG4nNluYUXeOgAGRMt+eW9UWFTCE8/OqP78sfF30Dzl5Esaw379nfBflqLo9Rx+75VjWtD9l1Fv5KIOF8nKDuGbZGb+GEa9kem9JnC4IodSq0nrcEQDPf/qe2RkqpMZfXt15bYbrzryRbsdfVk5jogwtW7EKRL5PQV7WLRvETp0PHbGY+4MWwhNyJWQEE1NaSk4HF6ZzK/K30Cl3Ux8QAytQ+VC1BtNmf4WufmFAAwedBpXXjLilO+p6NWV8j49yH/oLir79T7h69KL0zFZTEQGRkoiL3yXzaauXJFk/hjlNil+5+mW/bWa7+b+Cqgru56f/DCGGiu1Ir/7mVZX3kron6shMPBEw1Rzzspf2uFSOsV1ck/QQmhIroaEaGruvx/Cw+HTT7WOxOWc++UHxPaQvc5e6JfFfzD/t+UARISHMmXSA7X672xLiOPQd+9T8PA9J33dpCWTOPOjM/kr/S+XxCuER1q2TN2C1bOn1pE0GavzNpJfWYhdsWsdimiAwqISHp86o/rzxx68/aiVXcacPGJmfoqxqBiD7dT/rQ8WH2TernkAPH6WdD4R3kmW2QvR1KxfDyYTREZqHYnLtQltweC40xgY01PrUISL5eUX8tTzb1Z//sT/7iEhLuak7zFmZmFLTlTba4VHnPS1ZZYycspzqLRV0ie5j0tiFsJjKQoY5RIOoNhSyoBFV6NDx+pzvyXC7+TbdETTpCgKT73wRvXKrrPP6MeVlx5doT7ulZkYTOVU9OpG8ZhrTzmm2W5mYLOBBBoD5bwhvJacCYRoSiwW2LpVfdzJ+5aD3Zh6GSObnUNmRY7WoQgXUhSFyc+/QVFxCQAjhp7BRSPOPul7AnbspsWYByi+7Dxy3nj+lMcI9Q/ll+t/odhcTLNwKfwlfJzVqnUETcb6wm0AJAfFSyLvweb/toxfF/8JQGREGFMm3X/Uyq7gFf8StuQvFIOB7Fengv7Ui4vbRrfl85GfEx9y4v7zQng6WWYvRFOydat6kRYZCSkpWkfjFhV276sF4Ot++mUpi5f9DUB0VARPTbz35MvrrVYSn3kFnd2OwWwFf/9aHSfQGEj/lP6uCFkIz/TFF3D66fD221pH0mSsq0rmu0a0P8UrRVOVnZPHMy++Vf355An3ER9bY2WX1Ur8KzMBKLz1eixdO9Z67KigKIL8glwWqxBNjSTzQjQl69erHzt3PmWFVk+zrXgP+eZCyu0VWociXCg7N5+pL71T/fkzj44jOirypO+J/vhbAnbvxx4ZQc70p055jPTidMw2MxEBJ1+KL4TX27QJVq6Egwe1jqTJWFegrmbrFNFa40hEfTgcDh595hWKS8oAuPDcwVxwzllHvSbqm5/wT8/AFhNFwcT7Tzmm3WHnvbXvkWvKJcxfVmsI7ybJvBBNiTOZ71j7u86e4ubVjxE3eyDzM5ZpHYpwEUVReOLZGZSUqhdhF40YwjlDBp30Pf579hPz4VcA5Dz/BPZT7KsHGL9wPGd9dBZrMtc0PGghPJmzLZ30mK+2tlBN5juHt9E4ElEfX34/jxWr1Za18XExPPnIvce8xpidC0DeEw/hCAs95ZjLDizj5ZUvc/k3l0tRROH1ZM+8EE2JlybzNoeNCnslCgqdI9pqHY5wkdk/L2L5in8BiIuJ4on/3X3yN9js6vJ6m42yc8+m9IqLTnmMLTlb2JyzGT+9Hz0Te7ogaiE82L596kdpSwdAmdXEzpL9AHSJaKdxNKKu9qYdZPrrs6o/f37yQ0RGHDuTnvvQnRSPvhrLab1qNW6Yfxh9k/tydquzMeol1RHeTX7DhWhKLroIwsKga1etI3Epo97IxvN/Ymvxbvx08mfHGxzOyuW5qj2MAFMmPXDci7Caoj7/nsDtu7GHh5H9ypRabSX5esvXAFze6XLiQuIaFrQQnkxRjszMSzIPwMaiHSgoJAbGEhsQpXU4og6sNhuPPPkilWa1js7oUZcwqH/v47/Y3x9L/9pXo++X0o+518wlISTBFaEK0aTJMnshmpKJE9UCR228c7lgiEGK0HgDh8PBpKmvUmYqB2DkRecw5MxTF6azJSdgi4wgd+pj2BNPXV241Fxa3SP43tOOXXophE8pKIAStWOELLNXra3aLy/F7zzPO7O+Ysv23QC0btWch+69+egXKAox73yM36FMiDn1dqz/igyMxKA3uCJUIZo0SeaFaGq8sOWQoijYHDYsDu/73nzR59/+VL3HMTE+lkfH31Gr95WeezZpf/5EybWX1+r183bPo8JWQceYjpzR4ox6xyuEV3AusU9MhMBAbWNpIpyV7DuFS/E7T7J+0zZmfqTWTjEaDLz49P8I+s/vdOjiP4n58Gta3DQOnd1Rq3HLLGW8t/Y9Ss2lBPsFuzxuIZoiSeaFaCpKSiA7W+0170XsDjspc8/k7CWjKbAUax2OaKA9+w7w0psfVn8+7cnxhJ+qIJGiqB+Dg3EkJda6U8Oc7XMAuLX3rSdvdSeELygthVat1H8CqFnJ3jtXs3mj4pJSxk96HntVgn7PbdfTrfPRKyt0Zgtxb3wAQOHtN6GE1C4xn7tzLi+vfJkxc8e4NGYhmjJJ5oVoKr76Sp1xufnmU7/Wg+ws3c/hilw2FG4nwu/UVWhF02WxWvnfky9iNqs3nG685jJOP9Eexyr64lJaXn83oYv/hOjoWh9rb+FeNmZvxKAzcEP3GxoUtxBeYehQ2L9f3YolqLBVsq1ErSHQVYrfeQRFUXh86gwys3IA6NurK7ffNOqY10V++xN+h3OwJcRROO62Wo/9xSb1/43betfuPUJ4A0nmhWgqDh9WP8bGahuHi60t2AKolYYNOtm/5sneev8Ltu1UL57bpLbgoXvGnvI9sW9+SMDu/cR8+GWdjvXj9h8BOLfNuSSEShEjIarZpdUWwKaindgVO7EBUcQH1H1PtWh8X34/j99+XwFAZEQYLz0zAaPx6OsCfVEx0VXtS/MmPYgSXLtaO2sPr2Vv4V6C/YK5qcdNrg1ciCZMknkhmorMTPVjnHdV7HYWKJKWdJ5t7catvPfJt4C6x3H6M/8jMDDgpO8J3LCFyB9/ASD71ang51erY9kddubunAvAzb28a6WKEA1itR7ZtuLjMiqyCTEG0zWinWzD8QA7du3j+RnvVX/+3BPjSUo89non5oMvMZSZqOzcnpJRl9V6/O+3fQ/A1Z2vJiIwosHxCuEppEeUEE2Fc2be25L5wqo9jVKgyGOVlJbxvydfxOFQ9ziOu2M0XTqeYlmrzUbCtDcAKL5uJJUD+tb6eKsOrSLblE1kYCQXt7+43nEL4VX69weDAZ5+Glq21DoazY1sfi6XpgxjfVURPNF0mcoreOCx57BY1CK4o0ddyrDBA495nV96BpHfqx1Mcqc+pv6+10KZpYxf9/wKwO19bndR1EJ4BknmhWgqnDPz8adu2eUp7A476wu3A9BFZuY9kqIoTJryKhmZ2QD06t6ZW2+86pTvi/xmLgH7DmCLiiT36Ql1OubsHbMBGNVlFAHGk8/+C+ETbDb49191Vj5YqnQ72RU74VKLpUlTFIUnnp3B/gOHAOjcoQ2PjLvluK+1xceQf/sN+B86TMVZxyb7JzJ/13wqbBV0iOnAgGYDXBK3EJ5CknkhmgovnJnfVZqGyVZOsCGQ1qHNtQ5H1MPn3/5UvccxPCyUl6dOwHCK2RJDXgEx76uFiPKefAhHVGStj1dmKWPxvsUA3NLr+Bd8Qvic4uIjy+sjIzUNpSkxO7yr+4s3ev/T75j/23IAgoODePW5x/D39z/ua5XAQAruuVktBlwH329Xl9hL5xPhi2TPvBBNgd2utqUDr5qZdxa/6xzRVorfeaDN23bxwoz3qz9/fvJDpCSduhhd6PKVGEzlVPboQsn1V9bpmHqdnolnTOSqzlfRN7n2S/OF8GrFVW09g4NrXXvCm60r2Eqn+edz/7pntQ5FnMTyFf/wylsfVX8+/ZlHaNUi5dgXKsqRm1V16HoCsCt/F5uyN2HUG7mxx40NCVcIjyQz80I0BWYzjBsHaWkQ4z1VeZ375aX4necpKS3jgUefw2qzATD2upHH3eN4PMVXXIilXWscrVqCvm73jIP9grmu63W0jmotMyxCOBUVqR/DwzUNo6lYW7CVHSX7iAuI0joUcQL70g4yftLzKFVJ+rg7RjP8BOeQ4JVriX33U/IeuJ3y1NQ6HcdZ+O6CthcQH+I9kyFC1JYk80I0BcHB8Oqr6uy8cwbGC1RXsg9vo3Ekoi6cvYAPZWYB0KNrR8bfe+o2dDVVnDcMAuq33z3UPxSDXlZyCFHNeV6QZB6AK5qfS/PgRPLMhVqHIo6jtMzE3Q8/TZmpHIARQ8/grpuvPf6LFYWYDz4ncNsuQtZspHxk7YueWuyW6s4nUvhO+CpZZi9EU1I1C+oNHIqjuspwl4hTVD4XTcrMj75m4dK/AHWf/CvPTsS/Fkt7g/7dgDErF8LC6pXI/7DtB77c/CV2h/TRFuIozpn5sDBNw2gqogMiGZY4kH4x3bUORfyHxWJh3ISp1QXv2rdtxbTJD6E/wSqt4H/WE7R5B44AfwrG1S0hX7J/CUWVRSSGJjKi7YgGxy6EJ5KZeSGagvx8tX+wxXuK+ewq3U+ZrZwgQwCtQ6T4nadYuPQvZrzzSfXnz09+iGbJpy5GpC8tI+mxaegrKzk05xMqY2PrdFxFUXhnzTscLDlI+5j2XNftujrHLoTX0uvVdnR1LAzmzcx27zlfegubzc5Dj7/A3/+sByAyIoy3X3qKkOCg479BUYj+QC2WWnzDVdgT67ZMfvFetVjqmB5jMOolpRG+SWbmhWgK3noLkpJg4kStI3GZI0vs22KUJdMeYeuO3Tzy5PTqzx+6Z2yt98lHf/AlxqJirM2SqezZtc7HtjqsXN/tevql9OPSDpfW+f1CeLVLL1VrqrzxhtaRaO5QeRaTN7/O9wcXah2KqMHhcPDEc69Vdz8JCgxg5itP0zzlxDeggtZuInjDVhz+/hQ8cEedj/nCOS/w8aUfc9dpd9U7biE8XZNI5t966y1atWpFYGAg/fv3559//jnp62fMmEGHDh0ICgqiefPmPPjgg1RWVjZStEK4gRe2pbskZSi/D/2UBzqO0ToUUQvZufnc9dDTVJrNAFx6wTBuu+nqWr3XLz2DqG9/AiD32cfqVW3b3+DP2F5jWT5mOSH+IXV+vxA+weHQOgLNrS3YwjNb3uKVHR+d+sWiUSiKwguvvc/sn38DwM9o5K2XJtOre+eTvi+mala+5LqR2GvRKeW/jHojV3S+ghYRLeoetBBeQvNk/ptvvmH8+PFMnjyZdevW0aNHD0aMGEFOTs5xX//ll18yceJEJk+ezPbt25k1axbffPMNjz32WCNHLoQLZWaqH70omQ/zC+XMuL70i+6mdSjiFMorKrn7oafIzskDoFf3zkyddH+tq8nHvf4BOpuNsqFnUD7srHrH4W/wJ9AYWO/3C+H1JJlne8k+AFqHyvatpkBRFN5473M+/nIOAHq9npemTmBQ/94nfV/g5u0Er92Ew8+PgvF1m1lXFAWH4sCgMxDiJzd/hW/TPJl/5ZVXuO222xg7diydO3dm5syZBAcH8+GHHx739X///TeDBg3iuuuuo1WrVpx77rlce+21p5zNF6JJc87Me1GPeYBKh1nrEMQpVFaaufuhp9iyfTcAyYnxvDX9Sfz9/Wv1/qB/1hO6fCWKwUDe1PrdVF13eB1zts9Bh7SiE+K4Hn8c+vWDn3/WOhLN7ahK5lNDm2kcibDb7Tz9wlu8VTXDDvDMY+M4b9iZp3xvZZcOZL7wOPmP3IutFnVZatqWu40hnwzhnTXvSAtT4fM0TeYtFgtr165l+PDh1c/p9XqGDx/OypUrj/ue008/nbVr11Yn7/v27WPBggVccMEFJzyO2WympKTkqH9CNCletsz+gCmD8eum8e2BX7QORZyExWLhvglTWfnvBgBCQ4J555WniImOrN0Adjvxr74LQNFNo7C0r18Lwo83fMzEJRN5ffXr9Xq/8BxyPq6n7dvh33+9qnVpfW0v2QtAaogk81qqrDQzbuKzfPXDvOrnHn3wDq669LzaDaDXU3bRuRQ+eGedjz1/93yyyrJIK0qr83uF8Daaln7My8vDbreTkHD0PpmEhAR27Nhx3Pdcd9115OXlccYZZ6AoCjabjTvvvPOky+ynTZvG008/7dLYhXAZhwOy1H7e3jIz/3fuel7d+TG9ojozKO7kS+2ENqw2Gw88No0//v4XgODgIGa98Swd27Wu9Rg6mx3ToH4YikvJnziuXnGUmEv4Pe13AEb3GF2vMYTnkPNxPTmTeB9vTacoSvXMfBtZZq+ZouJS7npoMus2qu1njQYDzz75IJddMPwU7wQUBV15BUpIMERF1ev49/e/n95Jvemb3Lde7xfCm2i+zL6uli1bxnPPPcfbb7/NunXrmD17NvPnz2fKlCknfM+jjz5KcXFx9b+DBw82YsRCnEJentpfXqeDmBito3GJtmEtuLfdDVyQVP/908J9bDY7Dz/xAkuWqyugggIDeH/GFHp261SncZQAf/LG3cr+fxfhiK7fRdnCvQux2C10iu1Ej4Qe9RpDeA45H9eTM5kPD9c2Do0drsihxFqGHj0tg5O1Dscnbd2xm1E3P1CdyAcHB/HujGdql8gDob+vIPWysUQsWAK13M71XwHGAEZ1GUW/lH71er8Q3kTTmfnY2FgMBgPZ2dlHPZ+dnU3iCXqpPvHEE4wePZpbb70VgG7dumEymbj99tuZNGkSev2x9ycCAgIICAhw/TcghCvo9fDgg5CTU68q4E3RaTHd6R3Vhb1l6VqHIv6jzFTOQ48/z7K/1K1K/v5+vPPyU/TtVfd2cgBERqKE1r8A0U871Sr4o7uPlr2PPkDOx/VUVKR+DA3VNAytOWflW4Uk42+oXyIo6sfhcPDhFz8w4+1PsNpsAMRER/L+a1Po0rFd7Qax2Yl9+2OMRcUYCxu2xSYswLdXqQjhpOnMvL+/P3369GHJkiXVzzkcDpYsWcLAgcfvbVxeXn5Mwm4wqD2sFUVxX7BCuEtsLLzyCrz4otaRuJQUv2t6srJzuf62h6sTeT+jkTdffJKB/XrVaRxjZhbN7ppA4I7dDZopzCzN5J8MNZYbut9Q73GE8HqyzB6oWcleWpE1puycPMbe8xjTX59Vnch36dSOb2a9WvtEHgif9xv+Bw5hj4yg8P7b6xyHyWLi0q8vZeaamXLNL0QVTWfmAcaPH89NN91E37596devHzNmzMBkMjF27FgAbrzxRlJSUpg2bRoAF198Ma+88gq9evWif//+7NmzhyeeeIKLL764OqkXwiNVnSA9nclWzpai3SQGxWodiqhhy/bd3Dl+Mrl5BQCEh4XyxotPMKBv3Ze2x73xIcFrNhLz7udknH9uvWOat0stnHRmizNpHiH7X4U4LkWRZfZVjszMp2gciW+orDTz2bc/8e5HX1NaZgJAp9Nx6+irGHfnaPzrsJpQV2km5n216n3+g3fiCKv7KpNF+xaxI28HVruVl899uc7vF8IbaZ7Mjxo1itzcXJ588kmysrLo2bMnv/76a3VRvPT09KNm4h9//HF0Oh2PP/44GRkZxMXFcfHFF/Pss89q9S0I0TDZ2WoRPLN3zGSvL9zGmYuvJyUogaVDP9E6HJ+nKArzFi7jiWdnUFGp/o41T0ni3RnP0KZV3RPowI3bCFv8B4pOR+6z9WtF54xr7s65ANzY48Z6jyOE17NaISkJCgt9fmZ+h/SYbxQ2m50fFyzm9Xc/Izsnr/r5hPhYXnz6f/W6CRz57U/45eRhTU6k+Jbr6xWXc1vWDd1vkG1ZQlTRPJkHuPfee7n33nuP+7Vly5Yd9bnRaGTy5MlMnjy5ESITohE88wy8/TbcfTfcf7/W0TTY9mL1YqutLIPUXEFhEU89/yYLl/5V/Vyv7p15+6UniY6KrPuADgdxVa3oSq69HEuXjvWObVvuNvYU7CHQGMhVna+q9zhCeD1/f0hLU4ulFhRoHY2mnG3pWkuPebcoLCrh51+X8tUP89mXdqQ4pV6v57ILhzPh/tuIjKj7DSV9SSnRH38DQP7E+1EC6143I7ssm5WH1KKtcgNYiCOaRDIvhE/LzFQ/xnrHsnTnzEmqzJxoavGyv3niudcoKDzSl/rSC4Yx5bH7CQioX+GosN+WE7R1J47gIPImjW9QfM5Z+QvbXUhEYESDxhLCJzgcWkegqVJrGRkVasFkmZl3HbPZwqo1G5k97zeWLF+F1Wo96utDzuzP+LvH0r5tq3ofI2TVWvRlJsztW1My6tJ6jTF/93wcioP+Kf1pHVX7FqpCeDtJ5oXQ2uHD6kcv6THvnDlJlT2Nmti1J43X3/2URcv+rn4uMiKcyRPu5YJz6t8qUFdpJvbNDwEouP927Alx9R7L5rAxf/d8AMb0HFPvcYTwKT6fzJu4vNk5ZFbkEOHn29sN6ktRFPILiti9N41/1m3m33Wb2bBlxzEJPECfnl0Yf/fY+nc6qaH03LOxtElFFx4O9axv5TxnSLFUIY4mybwQWvOyZN45M99Gltk3qn1pB3nrgy+Y/9vyo6r8Dj1rAM88Oo642OgGjR++YDF+2blYkxIovPvmBo214uAK8srziA2OZUSbEQ0aSwiv99dfMH48dOgATzyhdTSaSQ5OYPaZb3KoPItyW4XW4biV1WajtLSM4pIySstMWKxWbDY7drsdm82Oojhw/plXFAWHomC327Hb7NjsdsxmMyWlJkrKyigpKSO/oIj0Q4c5cCiT8vIT/+yioyK47ILhjLz4HNq1aeXS78k88DQIqV8b0/TidLbkbEGv08u2LCH+Q5J5IbSkKEeS+bj6z3Q2FRW2StJMGYAsg2wMVpuNFavW8uP8JSxc+heOGjN3cTFRPHzfLVx6wTCXFAoqvvQ8FKMfjjapKEGBDRprwa4FAIzqMgo/Q+2rIQvhkzIz4d9/Qa9pN+Emw+I4dhbZEzkcDnbu3s/WnXtIO5DBgYMZpKVnkJGVg8lU3mhxNE9Jol+fbgw9cwCDz+iHn9F1qYH/3jQUoxFrh7b1TuQBftn9CwCDWw4mITTBVeEJ4RUkmRdCS/n5aqVi8Io987tK01BQiPILJ9pf9kG7g8ViYdO2Xfy6+A/m/7b8qD3xAFGREdx+09Vce+WFBAU2LOk+isFAyS3XQ2jd2wn915ODn2Rwq8Gc26b+be2E8BlFRepHH69kX2QpIcwYgs3huW1cMw5n8+fKNaz8dwOr12yisKj41G9yEYNBT7PkRFo0S6Zl82R6dO1Iv97dSGzAlqmTUhQSpr1O4JadZL02ldJrRtZ7KOcS+2u7Xuuq6ITwGpLMC6El56x8TIxasdjDVS+xD2shbWNcoLLSzKHMLA4czGTT1p2s2bCFTVt3YrEcOzMVFRnB2Osu54ZRlxISHOSyGPwOHcYWG4USGemSRB4gxD+EMT3HEBkY6ZLxhPBqzh7zLvr/z1OdvugaDpVn8X6/KfSK6qx1OLVms9lZtuIfvvp+Hn+tWnvS1/oZjaQkJxAVGUFEeCjhYeo/fz8/jEYDBoMBo9FQ3bLZeZ416PUYDEe+7u/nR3h4KOGhIYSFhRIZHkZiYpxLZ91PJfT3FQRt3IYjMICKwYPqPc7ewr3szN+JUW/kis5XuDBCIbyDJPNCaCk8XN0LWeEd+/98rQeww+EgN7+QwqJiysrKKS0zUVpmwmw2Y7M7cNjt6keHHaB6j6NDceCwO7BV7X+0Wq2UmY68v7ikjIzD2eTk5p/0+P7+fgw9awCXnDeUM0/vi7+fi5es2+0kTZiKobiEzI9ex5yU5JJhdegI8/ftWUYhas2ZzPvwzLzdYSfNlEGFvZKEQM9YxWYqr+Czb+by9Q/zOZyde8zXw0JD6NenO/16d6NNagtaNU8hKTEeo7F+BeKaFKu1umBq4V1jsSXVf2m8c4n9sNRhRAc1rPaLEN5IknkhtNSyJbz8MqSnQ2Wl1tE0mLOSfatg76tkn5mVw9oNW9m4ZQfphzI5mJHFocys486Su1PzlCT69OxCv97dOWfI6YSHuW+2LmLurwTu2os9PAxb61YNHi+zNJM7593J1V2u5umzn254gEL4Aucyex+emTfoDRRe8S//Fmwi1j9K63BOSlEUfln8J8/PeI/snLyjvpaSnMAVF5/LmQP70rlDW+9I3I8j8ruf8T+YiS02moJxt9V7HEVRqpfYX9ftOleFJ4RXkWReiKbAbtc6Apc4Usne82fmzWYLS/9cxZLlK1m7YSuZWTmNevyY6EiapyTSPCWJ5ilJtGvTij49u5AQF9Mox9eXlBL79icA5D9yL/YGVsMH+Hnnz+zM38nvab/zjO6ZBo8nhE+QmXkAAgz+tA5pTpmt8YrD1dW+tINMmf42f/+zvvo5nU7H2YP6ce2VF3LGgD4Y6tmazVMY8guJee9zAPIeewClATecCysLqbRVEmAI4LKOl7koQiG8iyTzQmjp0CG1QnFlZb17rzYVdoednaX7Ac9dZq8oCpu37WLOvEXM/20ZxSVlJ3xtYEAAzVMSaZacSGxMFGGhIYSGBhMWGkJgQMBR+xt1Oj3OEgLOPY5GoxG/qtcYDAZCQ4IJDwslLDSY0NAQ1y+Zr6OY9z7DUFyCuX1rim653iVjXtP1GqKDoumZ2NMl4wnhE/z9ISJC3Zbl45pqJXtFUfjkqx956Y1ZWG1HCvQNHnQaj42/k1YtvG+12onEvvkhBlM5ld07U3JDw9rIRQdFs+TGJVTaKgkPkN9/IY5HknkhtHT//TB7tto7+IYbtI6mQbIq1eWEAXp/UoI9r3XMqjUbmf76B2zZvvuYrwUGBNCjW0f69uxKn55daNemJXEx0V5b5M9/1z4iv5sHQM7zT4KLbixEBEZwa+9bpbWQEHUxaxa8/TYcOKB1JJp5dus77Ck9wHlJZza54ncWq5UpL77Ntz/+Uv1cSlI8jz10F8POGuC154njUhQsrVtiDwkmZ/pTLmmn6G/wp2Nsx4bHJoSXkmReCC15UY/5lOAETFdtYEPhdgw6z1llsHtvGtPfmMXyFf8e9XxgQADnDh3E5RcOp2/vbprPlDcaRSF++lvoHA5KLzyHirMGunT4iEBpWShEnTkcWkegqZ8ylvJP/qYml8gXFZcybuJUVq/ZWP3czTdcwbg7Rru2Nain0OkoHH0lxXffjCO2YVvCSs2lBBoDpeuJEKcgybwQWnIm8/Hx2sbhInqdnpiASMx2i9ahnFKZqZwXX3uf7+YuxFHjQrlDu1RGj7qU84edSWhoiIYRakNXUYk9JgpHUCC5z01yyZhmm5nb593O+W3PZ+IZE10yphA+xYeTeUVRmmQ9lv0HDnHn+MmkpWcAaneRZx9/kEvOH6pxZBoLC2twIg/w9r9vM3vHbJ4d+ix3n3a3CwITwjtJMi+EVhQFMjPVx14wM+/UVPc01rR7bxrjJj7LvrSD1c8lJcTxwF03ccn5Q6t7+PoiJTiIwy8+iVHRYUtxTSu6xfsWs+rQKg6VHOLxsx53yZhC+Ixhw9TzxdNPQ4LvbVHJqsylxFqGHj0tg5O1DgdQu5vceNeE6vahMdGRvDX9SXp1b1orBxqLvriU5P89Q/7tN1Ax8mKXjPlP5j8UVRaRGJrokvGE8FaSzAuhlcJCsFTNYHtBMn/zqkcps5VzY+pltA9rpXU4JzR3wRImT3udikozAMHBQdw19hpuvOYyAgMDNI6uiYiMxBbhuuXws3fMBuCmHjeh1/nujRIh6szhgN9/V5P5KVO0jkYTO0vUwqotQpLwN/hrHA0Ul5Ry27jHqxP59m1aMfPVp0lpQC91Txf7zscEr9+M4dV3OeCiZP6bK79hR94Ozmt7nkvGE8JbSTIvhFacs/JRURDg+UnkTxlLybcUcV3Li7QO5bgsFgtTX57JN7MXVD/XoV0qrz//uE9VGj4R/z1pRH/6LbkP3oG9VSuXjZtVlsWK9BUAjO051mXjCuETysrURB58tpr9vjJ1BVVTmJW3WCzc8/Az7NmfDkCrFil8MvMFoiN9txZI0LrNRP6g9oLPefEpl3XmMeqNnN/2fIL8glwynhDeSpJ5IbSSna1+9IJZeUVR+HjA86wr3EZqaDOtwzmGxWrl/kefY+kfq6qfu/LSETzx8N0yGw/VRe+C122GwECy3n/VZUPP3TEXBYVBzQfRJrqNy8YVwicUFakf/f294qZvfewzqcl8s2Btl1s7HA4mPPUy/67fDEB0VATvvzbFpxN5ndlCwrMzACi6/goqzujf4DEVRUFBwd/gL4m8ELUgybwQWklOhgcfdFnbLy3pdDouShnCadHdKLaWah3OUWw2Ow8//kJ1Ih8Q4M/kR+7likvO1TiypiPsl6UEr9uMIzCAvCcfdtm4iqIwe7u6xP7mXje7bFwhfEZxsfoxLEzbODS0r+wQAClB2i5jf+nND1mwaDkAQYEBvPvqM7Ropv1qAS1Ff/AF/ukZ2OJjyXvGNcVNd+bv5I55d3Bl5yt54/w3XDKmEN5MknkhtNKpE7zyito72GzWOhqXaGrF7+x2OxOems7CpX8BaiL/7itPM7BfL40jazr0pWXEvfYBAAUP3omtueu2HKzPWk9acRrBfsFc3eVql40rhM9wJvMurGHhaZzL7JtrODP/x99rmPXZ9wDo9Xpefe4xunfpoFk8TYH/rn1Ef/YdADkvTsYR4ZptIL/t/Y2ssizSitJcMp4Q3k6SeSG0ZrdrHUGD/Xb4L4qtpSQFxhMfGK11OIC6JHLSlFeZt3AZAH5+frz54pOSyP9HzLufYiwoxJLagsJ7b3Xp2M5Z+ZGdRhLqH+rSsYXwCc5l9j49M+9M5l3TXaOuSkrLeLxqKTnAY+PvYMiZDV9O7unCf12Kzu6g9ILhlF3kupVuv+39DYCrO8sNYCFqQ5J5IbSSkwNWK1RUePxS+xk7P+GXw3/wdNf7uKblhVqHA8D0N2YxZ/5iAPyMRt544XHOOr2vxlE1LQE79xD53TwAcqY/hRLgukrRFdYKFuxWiw3e2su1NwmE8BlWqzor76PF70qtZeSaCwDt9sw/9/JMsnPyADhjQG9uuPoSTeJoavLuuwVzz26UjxjqsjH3Fu5ld8Fu/PR+XNzBNVXxhfB20iNICK1MngzNmsHMmVpH0mA7SvYB0Ca0hcaRqJYsX8mHn/8AgMGg59XnHpWZlOOI/uBLdA4HpRefS/nZg1w69q97fsVkNdEqshVntjzTpWML4TMuv1ydnf/kE60j0cT+qv3yUX7hhPmFNPrxl/6xqvqmcGhIMFMnPYhOp2v0OJokPz9KR1+NPTHeZUM6Z+WHtBpCZGCky8YVwptJMi+EVgoL1Y8ePuNSaTeTZsoAaBKV7DOzcnj0mZerP3/0wTs4Z4hrE1VvkfXUwxTcch25zz3u8rG/26bupbyl1y3SW16IhnK2p/Mx+0xqMt8ipPELzRUVl/Lkc69Vf/7Y+DtJSvT87jMNoS8zEf/8m+iLSyE2FvSu/du+cM9CAK7qcpVLxxXCm8kyeyG04kzmPbywUZrpEAoKocZgYvwjNY3FarMxftLzFJeUAXDukEGyJPIklLBQ8p573GV9gZ32Fu5l7eG1GHQGqWIvhCt4QW2V+mgZnMz97W8kyBDY6Mee+tLb5Oar5+nBg05j5MXnNHoMTYqikDD1VcKW/IX/wQwOLfjapcMfLD7I9rztGHQGLut4mUvHFsKbSTIvhFa8ZGbe2TaoRXCy5ssPX3vnU9Zv2gZASnICzz4hSyKPJ2TFP5gG9oWYGJcn8gBpRWlEBkQyqMUgksN8u3WTEA3y/POwdClceCGcf77W0TS6XtGd6RXdmT2lB3AojkY77t+r1/Hzr78DEB4WypTH7vf5c0nEdz8TtuQvFKORvKmPuXz8hXvVWfkzW55JbHCsy8cXwltJMi+EVrwmmde+bRCorYPe//RbAIwGAzOee4zwMKmg/l+hi/4g+bHnMA3sS8bcz9xyjGGpw1h5y0rCAz37d1sIza1fD4sWwWmnaR2JZuwOe6Mm8oqi8MrbH1d/PvGB20mI9+3kMmD7buJmvA9A7uSHqezd3eXHcCbzV3WWJfZC1IUk80JoxUuW2TuTea0qDQOUmcp5bMor1Z8/fN/NPt8D+HgM+YUkvPAmAJUD+7p8v2NNcSFxxATHuG18IXyCs8+8j7am21S4g5iAKBRFabSZ8SV/rGLztl0AtG/bissvGt4ox22qDIVFJE18Fr3VStmIIRTdOcblx8guy2ZT9iZ06Li84+UuH18IbyZViYTQgqIc6R/s4TPz+6sKFKUEJWgWw3sff0Nuntq+6KzTT2PMdSM1i6XJUhQSpr2OobiEys7tyX/4HrccZnvudhyKg4hAz75JJUST4EzmPfw8UR8OxUG/366i2dyzOFSR3SjHtNvtvPbOkc4BD9x5E3o33vRs6nSVZpIfehr/zCwszZLJeusFcMNNlcX71Y4B/VL6kRSW5PLxhfBmMjMvhBZsNhg3DrKyvGZmvnmwNifg9EOZfPjFbAD8/Px44n93+fzexuMJ+2UpoctXohiNZL0zHfxd11PeKbM0k8u/uZyWkS3ZfNdmQv1lm4MQDeK86Rvqe/8vFViKiAmIJLeygKTAxqkiv2DRH+zamwZA9y4dGHrWgEY5blNlKCzCUFCEPSKMjO8+wBHpnuuVJfuWADCyk9yIF6KuJJkXQgt+fvDKK5Cbe2S5vQdSFKXGMnttZuafn/E+VqsVgLHXXU6LZlJw7b+MOXnEv/QOAPkP342lS0e3HGdn3k6C/YJpEdFCEnkhXMGHl9nHBkSTcdmfpJUdwuKwuv14VpuN19/9tPrz8XeP8fkbw7akBA5++Q5+FWas7dq45xgOG/kV+QCyxF6IepBkXggtORqvqI875JkLKbOVo0OnyTL7FavXsWT5SgDiYqO5Y+w1jR6DJ0iYOgNDaRmV3TtT8MAdbjvOkNQhrLxlJcF+wW47hhA+xYeX2TsZdAbA/cn8nJ8XkX7oMAD9+/ZgYL9ebj9mU2XIL8QeEwV+ftg7tsDuhq4nTka9kbnXzKXcUk67mHZuO44Q3sp3NwIJoSWTCTIyoKxM60gaxDkrnxQUR4DB9cu2T8Zqs/HcyzOrP3/43psJDZEk8njy7hlLZZcOHH7vFTC69x5uUlgSbaLdM4MjhE+x2dRVXDqdTy6zd7IqNrcfw2y28NYHX1R//uBdN7n9mE1V6JI/Sb10DOE/L4KEBLe0Lz2ebgndGuU4QngbSeaF0MLChdCsGYwapXUkDVJur6BdWCvahDZv9GN/9f089uxPB6BH145ccv7QRo/BU5i7diB96RysbVPddox9hftQFIXwAN+dQRTCpYxGdc98djZERmodTaP73/oXGLJkNEuy/nb7sb7/aSFZOXkADDmjP726d3b7MZui0CV/kjRpGnqzmaAde9x+89dqt1JpqyTIGIRB3zg3DYTwNpLMC6EFL+kxPyRhALsuWsjH/Z9v1OOWlZl4473Pqz+f9NCdPl1x+HgMBUUEbN2pzurFxbt1diXHlMPFX13MpV9fSqWt0m3HEcJn+eDe7VX5G1mW8w8mN/9NURSFL7/7ufrzcXeOduvxmipnIq+zOyi54iKy35jm9t+7P9P/ZOCsgUz9Y6pbjyOEN5OrXyG04CVt6ZzsNO7e/2/m/EJJqbpF4dILhtGjq3sKunksh4PEydNpcetDhC1bCQEBbj3cnO1zsDlsRAZGysy8EK5mt2sdgSaOdEpJdOtx/l23uXqVV+8enencoa1bj9cU1Uzki6+8mKy3X2yU5fWrD62m3FqOn8HP7ccSwltJATwhtOCcmfeCCsVWhxVFURrteBaLhY+/mgOATqfjTil6d4zoj78hZNVaHAH+mPv3ceuxHIqD77Z9B8Cdfe9067GE8Clr18Jjj0FqKowfr3U0jarCVklmRQ7g/ranX/0wv/rxdVde7NZjNUURsxcQ/+Kb1Yl89lsvNNo++YlnTOTKzlfSIbZDoxxPCG8kM/NCaMFLkvm+C0dy+qJr2F92qNGO+fOvy8jJVdvYDBs8kNatGn+/flMWuvQvYt/5BICcaU9g6dTercdbdWgVB0sOEh4QztVdrnbrsYTwKenp8NtvalLvY9JMGQCE+4US4ee+4n+5eQX8tvQvAKKjIhgxdJDbjtVUGXPz1UT+6ksbNZEH9Yb8gGYDaBvte6shhHAVmZkXQgvOZD4iQts4GsBit7C+cDsOxUGosXGqyDscDmZ9/n3157eOvrJRjuspArbvJvHJ6QAU3nI9JTe6P7n+Zus3AFzX7TppSSeEKzm3Y/lgJfsjS+yT3Nrr/fufFmKr2sZw5SUj8Pdv3K4sTUH+PWMx9+9D2WUXNGptBkVR0Ol0hPr73u+3EK4kM/NCaMELCuAZdAbWjZjDx/2nERsQ1SjHXPbXP+yt2tvYp2cXn604fDzGnDxSHnoKvdmM6ezTyX32MbcfM788nyX7lgBwZx9ZYi+ESzl7zPtiMm9y/355u93ON7MXAOoM8aiRF7jtWE1J4ObtJD0yBV2lGUJCoFkzyi6/sNET+Su+vYLHljxGYWVhox1XCG8kM/NCaOH88yEuDtp67tIyg95Aj6iOxAdGU2o1NcoxP/jsu+rHt46+qlGO6SnC5y7EmJuPuV0qhz983e0thQDm7JiD1WGlT1IfeiT2cPvxhPApzmTeg2/61pdzZj4lKMFtx1j21z8czs4FYPCg02iW7N5Ce1rTVVQS+84nRH79IzpFwfrJt+Q9/6QmsezI28HW3K3sK9wnRVOFaCBJ5oXQwrhxUF4Ohxpvr7m7WB22RjnOuo3bWLthKwBtU1tw9hn9GuW4nqLg1utQIsIpveZyHOHur8WgKArfbZXCd0K4jXOZfUiIpmFowZnMN3PjzPyX38+rfnzdlRe57ThNQdC/G0h49jX8Mw4DUHzlxRRMvF+zeBbvWwzA8NbDZXuWEA0kybwQWvHwdkM/HlrMntIDdAxvTfuwVm4/Xs298reMvlL6ygM4HOo/oxGCgyl85L5GWyr5T8Y/pBWnEeIXwjVdpaOAEC7nnJn38EKp9bGvqqiqu5bZpx/K5K9VamHBlOQEzhjg3q4fWvE7mEnMe58R/uvvAFiTEsh+ZQrl5wzWNK7F+9Vk/opOV2gahxDeQK6GhWhsigIZGVBaqj72UF+k/cT/NrzIyrwNbj9WWnoGS5avBCA+LoaLzhvi9mM2eYpC/PS3Sf7fFHQKEB/fqHsev936LQDXdL1GChgJ4Q4Wi/rRx5J5RVHYb1KT+WZB7knmv5nzS/Xja0ZeiKERK7g3puiPvq5O5ItuGsWBvxdonsgfKjnEjrwd6HV6Lmx/oaaxCOENZGZeiMZmMkGzZurjtWs9triRu2dOapr982/VvexvvOYy/P383H7Mpi7mnU+I/H4eik5H0L6DlLdObbRjF1YUsnDvQgDu6ntXox1XCJ/y+efw/vuwb5/WkTSqXHMBJls5OnSkBMW7fHxFUVjw23IAjAYDV15yrsuPoQlFIXDzdhxBgVjatQYg/86bMFRUkv/oA5h7dNE4QNWS/WrR1NObn05scKzG0Qjh+RqUzJvNZgICAlwVixC+wbkP0mDw6L2QR1oHuTeZt9vtzF2gnvwNBj2XXzjcrcdr8hSF6I+/IeajrwHIefFJyoef1aghzN05F6vDSrf4bvRO6t2oxxbCp+h04GM3L53nluSgePwNrm8Vt2nrTjKzcgAYcFpPoqMiXX6MRqMoGDOzCfttGRHzFuGfnkHJOYPJemkyREZgS00l8+u+Wkd5FOd++ZEdR2ociRDeoU7J/C+//MLXX3/Nn3/+ycGDB3E4HISEhNCrVy/OPfdcxo4dS3JysrtiFcI71Owx34jLol2p0FJMkbUEcG+BIoBVazaSlZMHwFkDTyM2pnHa4DVFOrOF+GmvEzFfvRjKfXw8xWOva/Q4hqYOJa88jzNanOHWHtBC+DwPr61SHylBCbzS61GKraVuGf/XxX9WPz5v+JluOYa7RcxeQNCajQRt3Ipf1fkRwBEUiCM+FpKTm+T1RWFFIWsy1wBwWcfLtA1GCC9Rq2R+zpw5TJgwgdLSUi644AImTJhAcnIyQUFBFBQUsGXLFhYvXsyUKVMYM2YMU6ZMIS4uzt2xC+GZnMl8ZKSmYTSEc+YkPiCGIEOgW481++dF1Y8vv/gctx6rKTNm55L8yBQCt+1C0evJnfwwRffcokksLSJaMGXIFBJC3dc2Sgifd/XVajL/wAOQ4Dv/rzUPSeLBjmPYX3bQ5d1SFEVh4VI1mTcY9AwffLpLx3cZRcF4OJuA3fsJ2LMfY14BORPurf5y+ILFBG3cpr7UYKDitJ6UXDuS0kvOQwlrulv3lh9YjkNx0C2+G6lRjbc1TAhvVqtk/sUXX+TVV1/l/PPPP24F6auvvhqAjIwM3njjDT7//HMefPBB10YqhLdwJvMe3Du4sZbYl5aZWLzsbwAiwkMZ4sPt6HRmC37pGdgjI8icNYMKjS9CIwIjND2+EF5NUeDHH8Fqhfu1ayGmJZvi+lUJm7ftIuOwusR+4Gk9iYpsOufh4FVrCVm5hoBtuwjYvR+Dqfyor+eOvxMlKhL8/Sm+cRSm3Hwq+vehsnd3lBDPaO/mXGJ/aYdLNY5ECO9Rq2R+5cqVtRosJSWF559/vkEBCeH1nHvmIzw3GWqMHsAAvy7+g0qzGYCLRgzB39/1+yebNEWpXippbdmMzPdfxtqhHbYWzTQJp8xSxpO/P8nVXa6mXXQ7TWIQwidUVqqJPHhskdT6WpG7FqPOSIDen2Cja1d+/bqkxhL7YdotsTfk5hP87wZKzxsCVZNkYb8tJ+Ln36pfo/gZMbdrjaVTe8zdOqNLTEQJVzsblNzkee1AK6wV/Jmu/vxHdpL98kK4Sp0L4FVWVhIYePw/rocPHyYpKanOQbz11ltMnz6drKwsevTowRtvvEG/fieegSsqKmLSpEnMnj2bgoICWrZsyYwZM7jgggvqfGwhGp1zZt6D2w1Vtw0Kdu/SzzlVe8MBLvOxwneGgiISn3qJwlGXUj54IMTFUdGqlaYxzds1j/m757OnYA+ju4/WNBYhvJrzpq9e79GFUuvj9n+eZFvJHj7s9xyD4lxXYFNRlOpk3mDQM+zsxl3dZMzIInLOAkL+WEXA/nQALG1aYu7WGQIDKbv4XJSYaCpO64W5WycsbVPBi25g/33obyptlTQLb0bPxJ5ahyOE16hzMt+7d2++/PJLevbsedTzP/zwA3feeSe5ubl1Gu+bb75h/PjxzJw5k/79+zNjxgxGjBjBzp07iY8/tiWJxWLhnHPOIT4+nu+//56UlBQOHDhApAfvPxY+pmNHGDMG2rTROpJ6c7alc1cPYIADBzNZu2ErAG1TW9Ctc3u3HaupCfp3A0lPvIAxvxD/tIPsv/ISOMFN1MZ0WsppjO4+mtObny6F74Rwp+Ji9WN4eJMsZOZOSUFx5FsKSXZxW7ot23eTkZkNwIC+PYmObITVcQ4HwSvXEvn9PEJW/IOuqsWqotNh7t4ZfWg4pKQAYBp5MaaRF7s/Jo1sz90OwGUdLpPzhxAuVOdk/uyzz2bAgAE8/fTTTJgwAZPJxD333MO3337Ls88+W+cAXnnlFW677TbGjh0LwMyZM5k/fz4ffvghEydOPOb1H374IQUFBfz999/4VbVraaXxbJUQdXLeeeq/Xbu0jqTejuyZr/tKnNr6seas/EXn+MTJ339/OjHvfU7Y4j8AMLdL5fBHbzSJRB6gTVQbXjznRRJD3bu9Qgif50zmfWyJPcDioR9TYC4iz1zo0nG1WGIfvGodzR54ovpz05kDKL5xFOVnn47Dk1vi1cO9/e7l+m7XkxwmXa+EcKU6J/Nvv/02F154Ibfeeivz5s3j8OHDhIaG8s8//9C1a9c6jWWxWFi7di2PPvpo9XN6vZ7hw4efcJ/+Tz/9xMCBA7nnnnuYO3cucXFxXHfddUyYMAGDwXDc95jNZsxV+24BSkpK6hSnEC7ncGgdQb3ZHDYOmDIB9xXAczgc1cm8Xq/nkvOHuuU4TYUxM4vYmZ8StnAZuqrfjaLrryB32hMowUEaR3e0iADPrfUgtCfn41oymdSPPrbE3snVxe8URaluSWcw6Bk+xE1L7BUFY04etgS1o1P5gN5UdmxHxZkDKLrleqxtfbuCe9votsQEx2gdhhBepc7JPMD555/PyJEjeeeddzAajfz88891TuQB8vLysNvtJPyn5UpCQgI7duw47nv27dvH0qVLuf7661mwYAF79uzh7rvvxmq1Mnny5OO+Z9q0aTz99NN1jk8It8jPB4PhqOJmnuRQeRY2xYa/3o/4QPeclP9Zt5nMLLXi8KD+vUmI8+6Tv7GwmPBflgJQNmIIeY89gKVLR42jOqLSVsmUP6ZwRacrpPCdaBA5H9dSeVUl82DPqFLuaq5uSbd1xx4OZWYB0L9PD7cssfc7dJjEydMxZuWQNvtDlLhYiIgg/c+fPfJc70pWuxU/gx+h/r630kQIdzu2z9wp7N27l4EDBzJv3jwWLlzII488wiWXXMIjjzyC1Vl51Y0cDgfx8fG899579OnTh1GjRjFp0iRmzpx5wvc8+uijFBcXV/87ePCg2+MU4oQuuQSiomDRolO/tgkyOywMSxjIwNhe6HV1/hNSK84ZFIDLL/K+wneGwiJC/lhV/Xllr27kPXw3Bxb/QOYXM5tUIg+wcO9Cvt/2PY8segQFRetwhAeT83EtXXQR2Gzw9ddaR9KoZu7+ijY/D+fF7e+7dNya5xR3LLH3372P5reOJ2jTNgwlpQTmFkJMDBiNPp/IK4rCRV9exK0/3UpWWZbW4Qjhdeo8M9+zZ08uvPBCFi5cSGRkJOeccw4XXHABN954I4sWLWL9+vW1His2NhaDwUB2dvZRz2dnZ5OYePzlu0lJSfj5+R21pL5Tp05kZWVhsViO27oqICCAgICAWsclhFt5eDX7DuGtWTz0Yw6aDlNhr3T5+IqisPRPNdH18/Nj8CAv6S3vcBC4eTvhv/5O+IIlYLOR9vNn2Dq2g5BQCiY23V7S32/7HoCbe93sths4wjfI+bgODAa1mrnFonUkjWZvWTr7yg5SYi1z6biLlq0A1CX257h4iX3gxq2kPDgZQ2kZ5g5tyfj2A2wp7qsn42l25e8irTiNHFMOcSFxWocjhNep15750aOPbkl0+umns379eh544IE6jeXv70+fPn1YsmQJl112GaDOvC9ZsoR77733uO8ZNGgQX375JQ6HA31Vb85du3aRlJTkez2ohWdyJvMe3GcewKq4dhmk09Yde8jOyQNg4Gk9CQ3x4GWmdjuB23cT+vsKwn5bjl/V1gGAyq4d0QcGQUjTXnaYXpzOPxn/oEPHzb1u1jocIXyL4lsrYdLLDwOQ5MJK9ocys0hLzwCgZ7dORLuw8FzIin9ImvAserOZir49yPj6fRyNUSXfg3SI7cCv1/9KQUUBwX4efD4XoomqczL/30TeKSwsjFmzZtU5gPHjx3PTTTfRt29f+vXrx4wZMzCZTNXV7W+88UZSUlKYNm0aAHfddRdvvvkm999/P/fddx+7d+/mueeeY9y4cXU+thCacCbz4eHaxlFPdocdvU6PzcV7Gp2WLD9S/HLY4AFuOYZbORxqb2ggbPEfJD3+QvWX7CHBmM4bSsnVl1I+9EyPWH75w7YfABiWOowWES00jkYIH/H11zBnDpx2mro1y0c4i6smB7puBnfFqnXVj88Y0Mdl44YsX0nyhKno7HbKhp7B4Y/fbHIFS5uKttFtaRPtue14hWjK6lUAz5VGjRpFbm4uTz75JFlZWfTs2ZNff/21uiheenp69Qw8QPPmzVm4cCEPPvgg3bt3JyUlhfvvv58JEyZo9S0IUXsVFeCs5OyhM/PnLbuVTUU7mNLtfs5O6O/y8Zf8cSSZH3KmByTzVitBG7cRsnINIX//S8n5wyi88SoAygf1xx4eRvlZAym94iJMwwejBDWNNnO1YXPYmL1jNgC397ld42iE8CHr18O336oF8HwomU8vV5N5V87Mr1jtnmTe3KENllbNMHfvQtbbL0JVu2RxLCl8J4T7aJ7MA9x7770nXFa/bNmyY54bOHAgq1atOvbFQjR1zll5vd5jWw6lmTLIMRcQbHT9DMTBjCx27t4PQPcuHZpmFXuHg4Dd+wn+dwNBazYQvH4L+vKK6i+HrF5H4cN3Q2AQdoOBvbtXq3tfPdCfB/4kx5RDdFA0l3TwnYRCCM05W9P5UDV7s93C4YpcAJJdlMzbbHZW/rsBgIjwULp0bOuScQFsSQkc/PkLHDHRHvs33t0+2fgJazLWMK7/OC5sf6HW4QjhlZpEMi+Ez6i5X17vmYXEVp/7LVuL9xBqdP1F5tIaFd6HDR7o8vHrrcbSeex2mt/2EPqKI8X/bNFRlA89A9M5Z2MaMujoffAefJH3/Xa18N0N3W4gwChFy4RoNGVVBeB8KJnPqFCLIQfq/Yn2d83KtS3bd1FSqv4sB/brdVTx5PowFBQRuHUnpjP7Q2wsjlCZcT6Zn3f+zOaczYzsNFLrUITwWpLMC9GYgoNhzBi15ZCHig6IpEtEW/LMhS4fu2YyP1TrJfYOByF//UPEj79gzC8k/ZPX1edDQjANGYSu0kz52YOoOHMg5i4dPPbmzInkleexLG0ZALf1uU3bYITwNT6YzB8wqUXqkoMT0LmonshfNffL9+/doLF0FZWkPPgkAdt3kz1tEiW3Hr+GlFAdLj3M5pzN6NBxWcfLtA5HCK8lybwQjSk1FT76CDIyjiyj9EBWNxS/Ky4p5d/1mwBonpJEuzYtXX6M2tBZLIT9+jtRn/9AwP706uf9TBVYO7QDPz8Of/q2JrE1ph93/IjNYaNPUh+6xnfVOhwhfIsPLrNPN6mV7JMDXblffm3149MbmMwnTH2VwG27sEeEU3H2GQ0Nzest3rcYgIHNB5IQmqBxNEJ4r3pNJV144YUcPnz4mMdCiFqy27WOoF5W5K7lvjVT+OHgby4fe/mKf7HbHYBaxd5VMzO1ZrMR+fWPpF46hsQprxKwPx17aAgFd48lbflcrF06+UyBI0VR+GG7WsX+tt4yKy9Eo/PBmXln8bvkYNck86VlJjZu2QFAastmpCTVP6EM/X0F4b8tRzHoyfj8HaxtU10Sozf7bZ96nXBFpys0jkQI71avmfk//viDioqKYx4LIU7BOdviocn8yrwNvLn7cy5JGcrwRNfuaa9ZxX7YWY2/Xz5s8Z/EvzwTAGtCHEV33kTxmGtxhPnensj1WevZV7iPIGMQ13a7VutwhPA9zmQ+yHdanTnb0iUGxrpkvNVrNlbfID5jQP1n5fUlpcS/8CYABXffTOXAvi6Jz5sVVBSwJnMNgOyXF8LNvGuTpxBN3UsvQWgoPP641pHUy5GLLdf1AAawWCz88bd64o+MCKN3jy4uHf+EatQuKD13MKYz+pP94mT2r19K4X23+WQiD7AhawMAV3S+gvCAcG2DEcIXrVkDmZkwwAPac7pIerm6yjPJReeXv1zUXz7u1fcw5hdibtOKggnjXBGa11uyfwkOxUGPhB60imyldThCeDXZMy9EY3JWs/fQCrjVyyBd2AMYYPXaTZRXtXc7+4z+GI3urwAfNn8x0Z98S/qnr6NERUF0NBk/fur243qCm3vdzEXtLyI5LFnrUITwTQaDep4oLdU6kkaTbnJtj3nnfnk/o5HTenev1xgB23YRMW8Rik5H9hvTUAKlq0dt/LL7FwCu7HylxpEI4f0kmReiMTmT+bAwbeOoJ+fMfHKQa2fmf/9zdfXjoWe5dyZKV1FJ/ItvETFvEQDhK/6l+NYb3XpMT9Q1viuRgZFahyGE71IUrSNoVC/0fJhtxXtoH9aqwWOlH8ok/ZA609+rR2dCguu3XcHcqR2Hp07AP7+Yyn4NK6DnKwoqClh1SO1Mc21X2aYlhLtJMi9EY6rZZ94DHUnmXTszv2K1uhzSaDAwqIEVh0/Gf08aSY89R8D+dBS9nvyH7qZ47PVuO54nKqgoICYohjB/z7zhJITHUxS4/nowGuGBBzx2JVddXdpsOGfG9XVJ29MVq9dXP25QSzqdjtJRl0NUVINj8hUL9y7ErtjpmdiTNtFttA5HCK8ne+aFaEzOZD7c8/Yhl1jLKLKWAK5bBgmQlZ1LWrraX7h71w6EhrinenPAtl20GHs/AfvTscXHcmj2RxRMuE9dzioA2FuwlzM+PINxv8i+UCE0U1kJX30Fn32mdSSNzlVtT1esOtKSblA99svri0rQVZrB3x8iI10Sk69YsHsBILPyQjQWSeaFaEwePDPv3M8Y6RdGqNF1CfeqNRurHw88rZfLxq3JmJVLyvjJ6CvNlA/ow4HlP1Fxhu8Ulqqtvw/+jV2xo9frMejlJocQmnBWsgefqWa/p/QAsw/+xo6SfQ0ey2azs/LfDQBERoTTuUPdZ4dj3/qI1EtvInTlWmjsNqkeLMeUw78Z/wIwqssojaMRwjfUa5l9y5Yt8avqt1zzsRDiFDx4Zt65xD4lONGl4zovugAG9O3h0rGd9CYTitGIuUNbMr96z2er1J/K6B6jGdxyMAmh9e/HLIRooJo95n1k5dC8jN95cP00LkwezCu9Hm3QWDv37KPMVA7AgNN6oNfXbd7KmJVLxLxF6Gw2bM1TGhSLr9mcsxmj3kjPxJ60jGypdThC+IR6JfNbtmw57mMhxClccgkcOgRxri0g1xgOlKtL4V25X15RlOpkPjAggJ7dOrps7JosbVqR/v0sdGFhksifQq+kXsQEx2gdhhC+y2RSPwa7Z8tRUxTlH0H/mB60c0Hxu3Ubt1U/7lOPNqdRn3+HzmajfEAfKvvXv6WdLxqWOowVN68g0BiodShC+AwpgCdEY3rnHXV2PjdX60jqLN3k2h7AAPsPHCI7Jw+Avr264O/v77KxAYwZWdhSEiE4GHtqqkvH9jYmi4kQ/xDpKy+E1mrOzPuIm1pfzujUS9lTeqDBY63dsLX6cZ+edUvmDfmFRPz4KwAF/7u3wbH4ombhzUgKS9I6DCF8huyZF6KxORxaR1AvB6p7ALsuma+5X36Ai/fLh/22jFZX3UbYoj88ciVEY8ouy2bQh4N4aOFDKPhWOywhmhwfTObBNcXvFEVh3SZ1Zj44KJAObVvX6f1RX85Gb7ZQ0bMr5WcNbHA8vsRsMwMQ6i+r34RoTJLMC9FYbDYoL1c/eqAD5a5vS7fKTfvl9UUlxL30DnqrFf+cfKjjnklf88P2H6iwVZBfkY+/wbWrI4QQdeRcZh8Som0cjcihOLApDT83ZmblVK/26tmtE0Zj7WsO6ItLifx+HlA1Ky+F7+rkxjk3Mur7Uewt2Kt1KEL4FFlmL0Rj+fdfOP10aNMGFizQOpo6GxTbC3+9H61CXFMQyOFwsHqtOjMfHhZar4rDJxI34z2MhcWY27cm/xFZKnkyDsXB99u+B+DOvndqHI0QgosugoICSEvTOpJGUWGrJPKHviQHxfPDGW80qFtKzSX2vXt0rtN7Q1atQV9eQWWn9pjOPbveMfiivPI8NuVsQlEUEsNcWyRXCHFykswL0ViKitSPHtpqaHqvCRRbSsmuzHPJeDt276OouBSA/n26Y3BR1ebg1euImL8YRacj+/Vpap9gcUJ/H/ybjNIMIgIiuKrzVVqHI4QwGCAqCoqLwWLROhq3O1SRhcVhJaeygBBDw86PNYvf9a5j8bvSEUMwd2iLPiRUZuXrKDY4luVjlpNWlEZiqCTzQjSmWq89Xbx48Um/7nA4mDp1aoMDEsJreXBbOierYnXZWCv/2VD9eMBpPV0ypq6ykvhpbwBQNOYaKvu6Zlxv9u3WbwG4vvv1BPl55o0mIbySh9ZXqasjbU/j0TUwiV67Ue2wpNfr6dG17t1RLL17UNmvd4Ni8FWJoYlc3+16rcMQwufUOpm/4IILuPfeeykvLz/ma1u2bOG0007jnXfecWlwQngVD07mK2yVVNrN2Bx2l41Zs7/8QBcl8zHvfY5/xmGsifHkPfmwS8b0ZnnleSzZvwSAO/vIEnshmoQ5c+COOzxyO1Z9pJuc9VgSGjROSWkZu/eq1fA7tkslNKT2y/X1ZSZ1Nj5UirfVlUNRbzqF+Yc1+GaMEKLuap3M//nnnyxZsoQePXqwYsUK4MhsfJ8+fejQoYP0nBfiZDw4mf8mfQFB33bn1n8ed8l4FquVNes3AxAXG03rVs1dMq4SGIBiNJDz8tMo0k/+lGZvn43NYeO05NPoltBN63CEEAArV8J778GGDVpH0ijSy13T9nT9pu0oitqNoy4t6fzSM2g94hoSn3xRltfXw7N/PMuNc25kU/YmrUMRwifVes98//79Wb9+PRMnTmTIkCHcfvvtrFq1ioMHD/LVV18xcuRId8YphOdzJvNhYdrGUQ8ZFdkAhBhdswx709adVFSqbWwGntbTZXfz828fTfGto7G1kZ7yp1Kz8N0dfe7QOBohRDVnazoPra9SV86Z+YTAmAaNs25TjeJ33WufzIfPW4TeYkVfaZbOJ3VksVv4edfPFJuLq2fohRCNq04F8AIDA3n11VfJycnh7bffJiQkhDVr1tChQwd3xSeE9/DgmfnHOt/JHW1Gsas0zSXjHd2SrqdLxgQgJARbvOta53mz1RmrOVB8gFD/UK7peo3W4QghnJyt6Xykz7xzZr6hbU/X1aeSvd1OxLxFAJTcIAVA62rp/qUUm4tJCk1ieOvhWocjhE+q0y3IvXv3ctZZZ7F06VJmzpxJ165dOfvss5k7d6674hPCe/TuDZdcAm3bah1Jnel0OiL8w4gNiHLJeKv+3Vj9eGC/ng0bzGYnYeqrBGzbpVaAFrXy3dbvALiu23WE+PtOP2shmjznzLyPJfNJQfVfZm+xWtm0dRcAKUnxJCbUbqzgVesw5uZjj4rANGJovY/vq+ZsnwPAjT1uxKB3TUcaIUTd1DqZf/PNN+nRowfx8fFs3ryZ22+/nRUrVvDAAw9wzTXXMHr0aIqcrbeEEMe691747jsY7pl3r11V/M5itbJx6w4AmiUnkpzYsNmY8Hm/ETF3Ic3ufwKdzXUF+rxZQUUBv+39DZDCd0I0OT60zF5RFA66YGZ++869VJrVrVt1aUkXMU/9O1gy8iKUAGljWhc5phz+TP8TgLE9x2ocjRC+q9bJ/JNPPsm7777LDz/8QFycesdTr9czYcIE1qxZw/bt2+nSpW49PYXwOXbPSzYdioMr/ryPB9c/R5nt2G4WdbV9514sFrXFXa2XQp6ArqKS2Pc+ByB//F0oQYENjs8XfL/te6wOK70Se9ErqZfW4QghanIusw/x/hUzeeZCKu1mdOhICKj/nvl1G2susa/dtai+qISQ5asAKB59db2P7at+3vkzdsVOv5R+dIiV7bZCaKXWe+a3bt1KUlLScb/WpUsXVq9ezXPPPeeywITwOhUVHpnM51TmM/vQb+jQcV+70Q0erz4XXScS9dUcjLn5WJslUXyL9LetrR4JPRjccjA397pZ61CEEP/lQ8vs08vV4nfxgdH4G+o/M762xn752layD1/4O3qrlcquHbHUoye9L1MUhdk7ZgNwc085jwihpVon8ydK5J0MBgNPPPFEgwMSwmvFx4PZDL/8As1d04qtMRyoqjScGBiLn75ONTOPa/2m7dWPe3XvVO9xDIVFRH2q7vvOe+IhWSJZB/2b9ef8ducTGxyrdShCiP/6/XfIzlbPF14u3eRsS1f/JfaKorBu0zYAwkJDaNe6Za3eV3rOYHA4sHWSWeW62pyzmT0Fewg0BkoBVSE01vArcyHEqdlsR2ZbPGzp5IHyDABSghMaPJaiKNUz86EhwbW+6Dqe6A+/xmAqp7JbJ0ovv7DBsfmayMBIrUMQQhxPVBQYjXD4sNaRuJ1zZj65AcXv0g8dJr+gCIBe3Tujr2V7OXt0JEW33wixclOzrubsUAvfXdrhUiICIzSORgjfVqu/eHq9HoPBUOd/zzzzjLvjF8Iz1CwO6WGt6ZwzJw1tGwRwKDOb3Hy1RV/Pbh0xGOpX/VZfZiJi7q8A5D35sPQGrqXd+bt5deWrFJuLMbpglYUQwk0cvtGz+7Jmw/lu0Gtc1+qSeo+xaevO6sc9u9VxuXxoaL2P66vKLGXM3aF2sbql1y0aRyOEqNXV3P79++s1eGRkZL3eJ4TXcfaYDw1VZ1w8yJFl9vWfOXFaX7UUEtQZlPpSjAZy77uF4A1bKT97UIPj8hWfbfqMb7Z+Q7Ypm9mjZmsdjhDivxQF7roL/Pzgllu8ft98y5AUmgcnsaf0QL3H2LxtV/Xjbp1rsWReUUh4dgYV3btQeutolHof2TfN3j4bk9VEu+h2DGs9TOtwhPB5tcoqWras/1JYIQRHkvkIz1uO5lwG2ZAewE7rNh5J5ns3JJkPDKR41KUUP3wv6HQNjstXnN3qbA4UH+D+/vdrHYoQ4njKy+Hdd9XHt/jGrKfVYWvQ+zdvOzIz37Vzu1O+3n/vASLmLiTsl98pvVkKp9aFQ3Hw+Sa1g8z9/e9Hr5NVcUJordZThDk5OcTHn3iZrc1mY926dfTr188lgQnhVTw4mXfOzKe4YJm9c2Zer9fTvaHVg0NCZHl9HQ1NHcq1Xa+VPY5CNFXO2io6HQR6f6vN9/Z8Q6gxmM7hbQk21v37tdnsbN+5F4CU5ASiI0/9ty30978AKD9rIEqYLLOvi3JrOf1S+lFpq+SmnjdpHY4Qgjr0mU9KSiInJ6f6827dunHw4MHqz/Pz8xk4cKBroxPCW3hBMt/QPfNlZSZ27U0DoEPbVEJD6rd8NGbmp4T/+As6D9uu0BQYdAbCAzyrZoMQPsXZYz442OtvVlrsFu78dzLXr3yYCntlvcbYm5ZORaVa9b9b5/a1ek/YUjWZL7v0vHod05eF+ocydehU9o7bS6i/3AgRoimo9dWwohy9qygtLQ2r1XrS1wghqiQkwGWXQbNmWkdSJyXWMoqsJQAkNTCZ37h1J46qok71bUlnyCsg+pNv0dlsmIcPwSx1OWrl74N/syFrA7f1vg2dbEsQounyoR7zJnsFVzQ/l4PlWUT71+9G95Ztu6sfd+106mTeLz2DgD1pKEYDZefLfu/6CPUPJcTfs7ryCOHNXDq1JReJQpzAkCHqv3371DZ1HiK9alY+0i+MUGPDLi5dUfwu4qeF6Gw2Knp3x9yt/j3qfYmiKLy++nXWZ63Hz+DH9HOmax2SEOJEPLSFaX1E+Ufw3Rmvk1WRS4m1rF5jHF387tTJfGjVrHz56f1w1GJJvjhizvY5tI9pz4i2I7QORQhRg6xTFaIx2e1aR1An1fvlgxMbPNZRxe961COZt9uJmL0AgKJbpGhRbf2b+S/rs9YTYAjgoYEPaR2OEOJkfGhm3qkhBfC2bD+SzHfp2PaUr5cl9vVTVFnEU8ufotJWydrb19I7qbfWIQkhqtQ6mdfpdJSWlhIYGIiiKOh0OsrKyigpUZfgOj8KIY7DagWDQW075EGclewbul/ebrezYcsOAOJio0lJSqjzGCF//YNfdi72qAjKLj2/QfH4kplrZgIwpucYEkMbflNGCOFGzmQ+KEjbOBpBua2CQEMANqV+ybzFamXHbrV1cmrLZoSFnnw1g85iwRESguJnpOyCc+p1TF9VaavknNbnkFmaSa/EXlqHI4SooU575tu3b3/U57169Trqc1lmL8QJXHst/PQTTJ4MV12ldTS11i6sFWNSR9IyJLlB4+zedwCTqRxQW9LV529F5PfzACi+7gqUwIAGxeMrNmVvYsXBFRh0BiaeMVHrcIQQp3L++bB/P2RkaB2J2z20/nlm7fuBhzqOZWzqyDq/f9eeI7WbarPEXvH359A7z6MPDMIRF1Pn4/myxNBEXh3xKi0iWsi1vhBNTK2T+d9//92dcQjh3QoL1dl5D2s1NDzxdIYlDGR3aVqDxmnoEntDbj7Bq9cBUDzm2gbF4kveW/seANd0vYZWka20DUYIcWpBQdCqlfrYYtE0FHdLLz+M1WEl1FC/LQU198vXpvgdAHo9jsS6rwwTEBkYiZ/BT+swhBD/UetkfvDgwad8TUFBQYOCEcJrOVvThXteWzCrw3rqF51CQ4vfGcpMlA/og87hwJraosHx+II9BXtYtG8ROnRMOnOS1uEIIeqiqvOHN0s3HQYgKSiuXu+vuV/+VDPz+jITukoz9pbNQWaWa63cWs60P6dxW+/baBt96poEQojG55Impr/99htXX301KSkprhhOCO/joX3m95UdpNRmavA46zdtByAgwJ9OHdrU+f2W1BZkvPkch378tMGx+ArnrPwlHS6hU5xU/hfCI8yfD488AkuXah2J2zlrstS37alzZt5g0NOpQ+uTvjZs4TJaX3A98c+9Vq9j+arPN33Ot9u+5c75d2odihDiBOqdzB84cIDJkyfTqlUrrrrqKvR6PZ9+KhfaQhyXB87MW+wW2v58DrGzB5BvLqr3OPkFRRzMUGdgunZqh79fPZfpBQVBfd/rYw6WHGTeLrXGwONnPa5xNEKIWvv9d5g+HVav1joStyq2lFa3o0sKrPvMfEVlJXv2HQCgbeuWBJ1iC1vIyjXoFAVbi2Z1D9ZHlZhLeH/d+wBMHjwZvc4l839CCBerU2s6i8XC7Nmz+eCDD1ixYgXDhw/n0KFDrF+/nm7durkrRiE8m90OxcXqYw9K5nPMBQQZAnEodqL967+iYPO2ndWPe3TpWOf3B27ZgS02BlsP2edYWzPXzMSu2BmWOoy+yX21DkcIUVs+Us3+YLl6gzfKL5xgY91ryWzfuQ+7Xd2K0LVTu5O/2GYnaM1GAExDzqjzsXzVrPWzKDGX0DG2I9d1u07rcIQQJ1Dr22z33XcfycnJvPbaa1x++eUcOnSIn3/+GZ1Oh8FgcGeMQng2ZyIPHpXMNwtOpOyq9Ww4b26DqtfWLFJUm4rD/5Xw7AxaXzyakGV/1zsGX7Ijbwc/bPsBgGeGPKNxNEKIOvGRPvPpVcl8cnD9btIefV7pcNLXBm7bicFUjj0iHHM9arb4orzyPD7dqK62fW7ocxj0cp0vRFNV65n5d955hwkTJjBx4kTCwsLcGZMQ3sVuh0svhaIi8PfXOpo60el0BBuDqLBX1nuMhiTz/nvTCNiThuJnpOL00+odg69QFIXn/3oeBYUrOl3B6c1P1zokIURdmKpqlHh7Mm9S98snu6D43alm5oNXrweg/Iz+IJNPtfLu2ncpt5bTO6k3l3W8TOtwhBAnUeuZ+c8++4x//vmHpKQkRo0axbx587Db7e6MTQjvEBcHP/4IX3+tdST1YlVs9X6voijVyXxkRDjNUhLr9P6w35YBYBo8CEekZxUP1MolHS6hRUQLpp8zXetQhBB15SMz8wfLswBICIit1/ud5xU/Pz86tG110tcG/5+9+45vqzobOP7TluXt2PGOnT3JIHsQAiSEVcoqlL1L2ZRSSiizAyhQKC1QynoppZQwyyyUAAECgYTsvR0ncby3ZM173z+u5REvSZYjyXm+n09iWTr36JFs69xzzznPWaFta+o4/piQnutIU1RbxL83/BuAP87/o+wrL0SUC7gzf/755/Ppp5+yYcMGRo0axfXXX09WVhaKorB58+aeKxDiSBdjWw39buNT/Pira/m89LuQ6zhwsIzqGm2ZwbjRw4M7KVBVEj/5EoCGn5wecgxHEp1Ox9mjz2bb9dsYnDo40uEIIYJ1hHTm/Znss0IYmW9stLNn734ARg4rxNzNjDed3UHchq0AOI6VmUo9UVSFOz+7E4/iYf7g+Zww+IRIhySE6EHQqSkHDx7M/fffT1FREa+88gpnn302F110EXl5edx0000hBfHUU09RWFiI1Wpl+vTprFixIqDjXnvtNXQ6HWeccUZIzyvEYaEooKradPsY8lX5D7x34HOq3DUh19F2iv34sd2vazyUZfN2zAcOosRZaTzp+JBjOFKoqgpAijUFqyn4hFJCiChwxEyzb14zH0JnfuPWnS23e1ovj15P2Z03UXPJuXgK84N+riPNP9f/k1UHVxFviuf505+XUXkhYkDI+0zodDoWLlzI66+/TklJCbfddhtffvll0PUsXryYW2+9lXvvvZfVq1czYcIEFi5cSHl5ebfHFRUVcdttt3HMMTJtSkS5558HiwVuvjnSkQRlr8O/pjG0PYChd+vlk5qn2DeeOA81vn+f2PZWg6uBs14/i/e2vUeKNSXS4QghQvXBB/DddzB+fKQj6VMtI/MhbEu3acuOltvjxnS/Xl6Ns1J/+kIqHro76Oc50hTVFvHY8scAeGTBIxSkFEQ4IiFEIMKyaWRaWhq33HIL69atC/rYxx57jKuvvprLL7+cMWPG8Mwzz2Cz2XjxxRe7PMbn83HhhRdy//33M2TIkN6ELkTfq6kBjwdi6Aq3oiptEhRFoDOvqsR/pU3vbzhHptj35I3Nb7C5YjPPrX5ORlKEiGWDBsGYMZCQEOlI+oxP8XGgSRuwCaV92bxtV8vtsSOH9XyA0RhzyWcPN//0eqfXybEFx/LzKT+PdEhCiAAFlM3+oYce4uabbyYugH1Pv//+eyorKzn11FN7LOt2u1m1ahWLFi1quU+v1zN//nyWL1/e5XG//e1vGThwIFdeeSVff/11j8/jcrlwuVwt39fX1/d4jBBhU9M8TT2GtqWrcFbjUtzo0JFpDS1Bkc/nY2PzCErWwHQy0tMCP1ino/ifTxK/ar0kLQrAxeMvpsnTxMKhCzHqA96kRIjDTtrjAMRYfpVg6XQ6ls1/lU11O8iwBNEuNNuyXevMm4xGhg4Z1GU5Q1UNif/7Esfxc3DnyxT77vxQ8kPL9PqXznhJLgoLEUMCOuvbvHkzgwYN4ic/+Qk/+tGPmDJlChkZ2tQor9fL5s2bWbZsGa+88golJSW8/PLLAT15ZWUlPp+PzMz2+4xmZmaydevWTo9ZtmwZL7zwAmvXrg3oOQAefPBB7r///oDLCxFW/s58DG3puLdlCmQ6Zr0ppDr27N2Pw9EEBL9eHkBJiKfhp2eBRUZUemIymPjjgj9iNcpaeRHdpD3uhqLAnXdq26eddx5Y++ffs16nZ9qA8RTYcqjzNAR1bJPT2ZL8btiQAsymrtun+OU/MPCxZ3B+9jXFn73dq5j7u2m503j1rFdRVZXClMJIhyOECEJA0+xffvlllixZgsfj4YILLiArKwuz2UxiYiIWi4VJkybx4osvcskll7B161bmzp3bJ8E2NDRw8cUX89xzz5GeHvho4aJFi6irq2v5t2/fvj6JT4hOxeDI/F77AQBybZk9lOxab9bLA9oJbT89mQ2XT3Z+gtvnZkDcAOnIi5gg7XE37Hb44x/hgQciHclhEcq2p9t3FqE0z1wYPXJot2VtK7T95e3zZgcf3BHoRyN/xAXjL4h0GEKIIAU8H3PChAk899xz/P3vf2fdunUUFxfT1NREeno6EydODKpz7Zeeno7BYKCsrKzd/WVlZWRlddyPeteuXRQVFfGjH/2o5T7/h7rRaGTbtm0MHdrxw91isWCxWIKOT4iwqK3VvsZQZ96faTg7hOREfqF25g01teT88j7sx86i+p5fgT4sqT36nSW7l3DTxzdx1MCjWHFVYDuACBFp0h53w78tnU6nJU3tp5aWfc+62q0UxucyOqn7Dvmh2q6XH9NdZ15VWzrzDunMd6reVc/tn97O7bNvZ1ruNBLM/TdPgxD9WdCLK/V6PZMmTWLSpEm9fnKz2czkyZP57LPPWraXUxSFzz77jBtuuKFD+VGjRrFhw4Z299111100NDTwxBNPkC9rokQ08o/MJydHNo4g7O3FHsB+6zdta7k9dnT3GYfbsi1fRdyGrei8CtX3/Trk5+/PKh2V3PX5XQAsGLpAtqIToj/wb0sXHx9TCVOD9c7+T/nL9n9y9dBzg+7Mb9nWui1ddyPz5l1FGKtqUOKsOKcdHXKs/dmDXz/IF0VfUNpYysbrNkY6HCFEiALuzPt8Ph599FHee+893G43J5xwAvfee29ASfG6c+utt3LppZcyZcoUpk2bxp///GfsdjuXX345AJdccgm5ubk8+OCDWK1Wxo0b1+74lJQUgA73CxE1pk3Tpot3MtskWvmn2Yeayd7t8bB1xx4ACgflkpQY+BX/+G9/AMAxv2+W68Q6r+LljiV3UOOsYdzAcTxw/JExJVeIfs8/Mh8fH9k4+tik1DGck7+Qo5KDX37lH5nX6XSMGt71bka271cD0DR9MqrkXenUr2b/isqmSv5y0l/Q62QGnBCxKuDO/AMPPMB9993H/PnziYuL44knnqC8vLzbLeQCcd5551FRUcE999xDaWkpEydO5OOPP25JildcXIxeptmKWPbUU9DQAAcPRjqSgPmn2eeG2JnftmMPHo8HCDL5nc9H/HerALCfeFxIz92fqarK3V/czdfFX2MxWPj32f/GYuy/03GFOKL4O/M2W2Tj6GOXDTmL8wtOa7loHCiv18f2XUUAFOTnkBDf9ftkW7kWAMdxMsW+rQZXAwnmBHQ6HXlJeSy9dKlkrhcixgXcmX/55Zd5+umnueaaawBYsmQJp556Ks8//3yvO9s33HBDp9PqAZYuXdrtsS+99FKvnluIw8Lni3QEQfFPs88OsTMf6np56+btGOrq8SUm0DR1YkjP3V+pqsrD3zzM21vexqAz8O9z/s24gTIjSYh+wz/Nvp935gE8iifoY3YX7cPlcgMwekT36+Wtm7Q2yDF7ekjx9UdrS9fyi09+wSXjL+H6adeTk5gjHXkh+oGAe+HFxcWccsopLd/Pnz8fnU5HSUlJnwQmRL+gqtq/GNo3uMHTSI27Dgh9mv2GNuvlg+nMt0yxnzsTjLJfelvPrnqWF9dqM6Ge+9FznDnqzAhHJIQIqyNgZN6jeDjgKMOluIM+dvP2NuvlR3Q9xR6djj3v/YN9//grrnGjQgmzX1FVlRfXvMiFb19ISUMJb299m4HxA2VqvRD9RMBny16vF+sh20SZTKaWqbRCiE7s3QsjRkBmJnz2WaSjCYiiqtw77gaK7AdIMIZ2UukfmTcaDN2PoBwi/tuVANhPnBfS8/ZXr218jce+ewyARxY8wuWTLo9wREKIsFuwANasgYqKSEfSZ7bU7WLCxz8my5rOlye8EtyxbTLZjx45rNuyapyVpuOPiaqLwqqqcrDxIPWuekx6E0a9EaPeiM1kI8WaEvZRco/Pw8c7P+aldS+xsVxLcHfO6HN44ccvYDZIHgEh+ouAP+VUVeWyyy5rt6WM0+nk5z//OfFtkrW8/fbb4Y1QiFhWUwMeD7iDH4WIlGRzIvcddSMljjIavY6gj7c7mthVpO0dPXxoIVZrgGu6fT48OVmY9pdgP/6YoJ+3P/L4PDy2/LGWEfk7Zt/BbbNui3BUQog+kZQEEydCUVFMtRnBKGpeJz/QMiDoY7ds391yu9tt6fwivL2f3W0n3tx6fnzv0ntZvGlxp2VtJhs5iTnkJuaSl5TH4JTBDEkdwrC0YWQmZAb8nKqqUtJQwgfbP+CVDa9Qbi8HwGq08qcT/8S1U66VqfVC9DMBd+YvvfTSDvdddNFFYQ1GiH7Hv8d8DG1L5+dVQ1vnv2XbLpTmZQXBTLHHYODgg3dCWlpMvl/hVtZYxk3/vYm1ZWsBuHXmrTxwgmSuF6Lfi6FlWcHyd+ZzbYF3UEHrpPpH5jPS00gfkNpVQXJ+cQ+eIQVU3X0bSloX5fqQT/Hxm89/w393/pcPLviAQUmDMBlMjBgwAqPeSKo1Fa/ixat48SgenF4nDo+DndU72Vm9s11dYzPG8vZ5rYNkjy1/DKvRyqUTLm25UPD9/u/5bM9nbKncwrbKbdS56lrKD4wfyHVTruO6qdeRER/6VrNCiOgVcGf+//7v//oyDiH6pxjcY35XQzEKCh6fF6PeEPTxG7e0Jr8bF8T+8i0SAt/Grj+LN8dT46wh2ZLMCz9+gbNHnx3pkIQQfWnJElixAgoKYOrUSEfTJ/bY9wPB52M5cLCM+gYtp0B3o/KmA6UkfLMSdcUaKv9wV+iB9oJBb6DCXoHT62TF/hUcP+d4dDodd8y5g7vn3o3JYGpX3ul1sq9uH0W1RRTVFrGrZhdbK7eypXILEzInkBaXhsendfpfXPMiHsXD2aPPbunML9mzhJfXvdxSn1FvZFLWJG6YdgPnjT1PdjwRop+LnsVEQvRH/s58UlJk4wjCb9Y/zuLij7hj9NVcPiT4DuTGLTtabo8bE2Bn3ufDtK8Ez4ihYAj+AkI4VDoq+bLoS7ZUbqHeVU+9q546Vx1Or5OLx1/MWaPPAsDhcbCseBnD04YzOHVw2J7fp/j4fM/nzMibQaIlkURzIq+d8xpZCVkUphSG7XmEEFHqo4/g8cfhqqv6bWe+ZWQ+yM58+/XyXXfmres2AeAcNxrVFhdChMFTVZXXN73OqSNOJcGcQJIliYfmP4TZYGZqbuvP0WbqPAeN1Whl+IDhDB/Qsb1UVbVlWrzT6+TOY+6kuK6YUemjSI3TZh0cV3gcKdYUjs46mglZExidPlo68EIcQaQzL0RfisHOvA4dcQYr+bbskI7ftFWbJmgymRg+tDCgY6ybtzPoil/gHDuS4qXvwmFa07erehcf7fiIpXuXtiQI6ozH58GkN+FTfWyr3MaN/72RzPhMvrr8q5YyH+/8mARzAiMHjAxpOuP1H13PF0Vf8OvZv+bm6TczwDag05M7IUQ/dQRsTVfU6O/MBzfNfnObzvyYbpLf2dZon+NNsw7PxZCaphoWfbaIL4q+4PsD37P4nMXEm+PJSsgKS/1t17dbjVbum3dfhzKXTbyMy7gsLM8nhIg90pkXoi/5O/OJiZGNIwj/nv0YDe5G9jeVBn1so93Bnr3aNMoRwwoxm0w9HKGxrVwLgGdQ3mHpyNe76nniuyd4deOrKGrr+tRJWZM4bvBxZMVnkRqXSqo1lThTHGMyxrSMju+v28/k7MnkJOYwIG4Abp8bl8/FH776A+UOLdlQkiWJnMScloRGqXGpqKoKgKIqNLgb2FyxmXvm3sPI9JEAzB8ynzWla0i3pZOdGNqFFCFEDPNvTdcmqXB/459mn2cLrrPbdmR+TDc7pMStbe7Mz+z7zvzmis1c9+F1HGw8iNlg5qRhJ3U5+i6EEH1FOvNC9KVBg+DYY2FIN3viRiEvPgy64Ke7b9m2q6XTGsx6edvKdQA4jp0V9HMGa8nuJdz9xd1UN1UDsHDoQs4dey4nDzs5oE70vMHz+OFnP7S7z+1zc2zhsawrW8fO6p0t0/S3Vm7ttq5tVduYmT8Tq9HKL2b8gpun39wu+7EQ4gji78zHHZ7p4YdbrbueOk8DADnBjsxv1zrzCfE2cnM6P9ZQXYu5+WJy0/SjexFpz/bX7+fq96+m0lHJ0NShvHnum0zMmtinzymEEJ2RzrwQfemaa7T1j7t29Vw2ingUb0jHbdraZr38qMA68zqXG+uGzQA0zZ0Z0vMGw2ayUd1UzYgBI3jq5KeYP3R+r+s0G8y8/pPXAW1NfVFtEXtr97K3bi97a/dS1VSFTqdDr9OjQ4fVaGVC5gSOH3w86bb0Xj+/EKIf6OfT7P3r5dMtqdiM1oCPq66ppay8EoDRI4ai1+s7LecflXeNHIqSmtK7YLtR56zjZ+//jEpHJeMGjmPZ5ctItsZOklshRP8inXkh+loMbTP04YGl/Gb948zJmMxNIy4O+vi2ye/Gju56XWNb1o1b0LvceDMG4B7e9zMYFg5dyNvnvs1pI07rkFU4HGwmG2MyxjAmY0zY6xZC9GP+kfl+2pnf09g8xT4uyCn2bfaX7y75nd7RhDc9jabpk0MLMABun5sbPrqBXTW7yEnM4eMLP5aOvBAiojq/vCmECB9faPu1R8Lm+p2sq93KPsfBkI4PJfmd7Yf1ADhmT+uT9fJljWVc9p/LKK4rJtWaSnZiNmeOPrNPOvJCCBGyft6ZD3WP+fbJ77ruzNeftoDd/1tMxR9+E1qAPVBVlTs/u5MVJStIMCfw3wv/S25Sbp88lxBCBEo680L0paOOgvx8WL8+0pEEZHfjPiD4TMPQPvndyCCS38X9sBYAx7Gzg37OQNz35X0s37+cu7+4W6a0CyGi12uvwccfw9ixkY6kTxQ1J78Ltn3Zsm1ny+3uRuYBsFpR4wKfwh+Mp394mve3v49Rb+Stn7zF+MzxffI8QggRDJlmL0RfKiuDykqwxMaer7sbQ8s0DO2T340NIvldzSXn4hq3HsexfbNe/rfzfosePc+d/ly7bX6EECKqjBsHBQVwMLSZUdHOn8k+J9g95pun2ZtMJoYOHtRpGZ3LjWo2gbVvOvI7qnbw9MqnAXj6lKc5cdiJffI8QggRLOnMC9FXVLV1a7rk2FhT5x+Zzw+hMx9K8jsA+zHTsZ9xCiQlBf2cgRiVPopPL/m0T+oWQoiwiqEcK8F6cfoDbK7bhZ7AL6o6mpyt250OLcBk7Py0Ne2lxSS/9QHVv/g5tdddEZZ4/VRV5f4v78ereDl1+KlcPfnqsNYvhBC9IZ15IfqK3Q7e5qzwfdRRDSef4mtZ05hvC36f87bJ78aNCbwzD4R9NOXNzW9iNVr56bifMsA2IKx1CyFE2Pl88MgjoNfDKaeA2RzpiMIu3ZLGpFQzB5sqAj5m+849LTO+uptiH7d2I8aaOtQ+yDdwsPEgxXXFWI1WnjzlybDXL4QQvSGdeSH6in9U3mSKiX2D9zeV4lW9mHRGMq3Bd4D9nXmTycSwIQUBHZP81oe4hxTQlBu+JEK7a3bzu69+h9PrZHjacHJG5oStbiGE6BN2OyxapN0++eTIxtKHgt32tG3yu9EjuujMe31YN24FoGlG+DPZ5yTm8PFFH1NuL6cwpTDs9QshRG9IZ16IvtJ2in0MrNVuO8XeoDMEdWyj3UFRsTaqH2jyO32jnYEPP4VOUdi9bgre3OBnAxzKq3j59ZJf4/Q6Oa7wOE4dcWqv6xRCiD7nz2Sv1/fLUfmdDXt5ase/KIzP5eTsuQEft3V7m858FyPzlp270Ttd+JIScXfV4e+lguQCJmZN7JO6hRCiNySbvRB9JWbXywffqW6b/G7cmBEBHRO3ZiM6RcFdmB+WjjzAMz88w/qy9SRbknn5zJfR6+QjTggRA/yd+fj4mLj4G6y1NVv487Z/8M897wZ1nH9kXqfTMXLY4E7LxK3fAoDz6PHaxZAwWV+2nrc2v4VJbyI1LjVs9QohRDjJyLwQfSUuDo49FgbExpptfyb7/PjgO9btk98NC+iYuB/WAeCYMz3o5+vMxvKNLdmGnzzlSfKS8sJSrxBC9Dm7XfsaHx/ZOPrI0IRB/HLUFdgMgedH8Xp9bN9VBEBBfg4J8Z2vh7eu3wxA07RJvY7Tz5/0bmP5Rtw+N/fOuzdsdQshRDhJZ16IvjJtGixdCsXF4HRGOpoe9WaP+Q2bWzvzgW5LZ2vuzDfNnRX083Xm4W8exqf6OGvUWVx41IVhqVMIIQ4L/8h8HyRwiwaT0sYwKW0MOxqKWmZx9WTP3n24XG4ARo0Y0mW5uA3NI/PTw7de3qN4OK7wOOqcdVw79dqw1SuEEOEmc1CF6Gs+X6QjCMhue++3pTObA0t+p6+tx7JD2zs4HCPzKw+s5PsD32PSm/jzSX+W/eSFELGln3fmQctpEmhHHlr3lwcY003yu4YTjsExeYI2zT5MzAYzN0y7ge03bmdg/MCw1SuEEOEmI/NC9LUY2Tc41DXz7ZPfDQ4o+Z1t9Xp0qopr+BB8A9ODD/YQT67Utgu6fOLl5Cfn97o+IYQ4rPzT7PtpZ35N9WZSzEmoqhrwxdYtbTLZj+qqM280UHnTVZCRAQkJ4Qi1RYI5AasxvNumCiFEuMnIvBB95Ze/hMxMeOGFSEfSI1VVeWTi7dw26sqgO/Ntk98FOsXeuq55jWOYRuW/2/8dJr2J38z9Ta/rE0KIw27ePG1Z1p13RjqSsFNVlTlLLmDI+ydQ7DgY8HFb2mSyH9PNHvMAWCyhhtfBs6ue5fM9n5NsiY3ktUKII5uMzAvRV0pLobwcgphWGCk6nY7LhpxFubOKWnd9UMdu3LK95Xagye8qb7qShtMXoBR2np04GP5R+csmXsag5EG9rk8IIQ679HQtYeqePeDxRDqasKpwVePwNaFDR7Y1sJlYqqq2dObT01LJSE/rtJx141bcQwtRApgRFoiDDQd54vsn8CpeZuTNkO3ohBBRTzrzQvSVsjLta4xkswfwKN6gj9mwubUzf9SYkYEdZDDgmnCUNjWyF34o+aFlVP6uuXf1qi4hhIi4GFmWFYwiu7YMK8uajtlgDuiY0rJKausagK73l9e53eT97FfovF72rFqCd1DvdzB5ed3LeBUvcwvmSkdeCBETpDMvRF8pLdW+pvd+TXhfW1+zlXJXNUnGeFLMSUEdu3GLlvzOYjEHlPyuhbX3axGfX/08AJdOuFRG5YUQseujj7RR+UGDYGSAF0VjxJ7mbU/zgkiuunnbzpbbo7vIZG/Ztgu9x4M3NQVvfm7vggQaXA0s3rQYgF/P/nWv6xNCiMNB1swL0VdiaGT+mZ2vseCLy/m/PW8HdVxdfQN795UAWrZho9HQ4zGp/3idzPv/hLV5O6HeeOCEB7hh6g0yKi+EiG3/+AfccAN8/32kIwm7IrvWmQ9m29O2mexHj+x8+ZZ/f3nnlAkQhh1MFm9ajN1jZ9SAUZw07KRe1yeEEIeDjMwL0Rc8Hqiq0m7HwMh8uiWVUYlDGBwf3DRF/6g8wLgxIwI6JnHJV1i37sTxo5NwBvVsHaXFpfHoiY9iMYYv+ZEQQhx2/vYiuf8lXfNPs8+xBb7FW9vkd12NzPv3l28Kw/7yHp+Hl9e9DMCvZv8KvU7GuoQQsUE680L0hYoKLfGdXg8pKZGOpke/HX8zi8Zcw74gMg3Doevle+7M6xvtWJpHXByzpgYXZBv+7Y3iTfHSkRdCxL7qau1rDLQXwfJPsw9uZF7rzNvirBTk53QsoKrErdc6886pk3od47LiZZTZy8iwZXDhURf2uj4hhDhc5NKjEH3B44Hjj4dp08DQ89TzaOBRg09+t7FNZz6Qkfm4tRvRKQruwnx82YGf2B3q+TXPc/m7l/NDyQ8h1yGEEFGjH3fm/SPzgXbm6+obOFCiLVMbOXwIen3HU1VjWQXGiipUgwHnpKN6HeMH2z8A4KfjfioXiIUQMUVG5oXoCwUF8NlnUFICjY2RjqZb/lFujxL8dkj+kfmEeBuDB/WcgChuzUYAmmZMCfq5/FRV5Z0t77CrZheVjsqQ6xFCiKjhn2bfzzrziqq0dObzbIF15rfuaF0v39X+8nHN6+VdY0ei2uJ6FaPdbeezPZ8BcNH4i3pVlxBCHG7SmReiL3mDH+0+3L4sX8FZy25k5oCJPH70ooCPq6isprRc60yPHT2809GTQ8Wt3gCA45gZoQUL6HQ6nv3Rs3yy8xPOHXtuyPUIIURUcLtbL/r2szXzxfYSXIobs95EtjWwNfNbtvW8Xr5p/BjK7rgRJa/3Wew/2/MZTd4mhqQOYWpO6Mu/hBAiEqQzL0RfUFUtu67PF+lIerS7cR817jrsXkdQx7VLfjd6eI/ldY4mrFu0kfymXqyXB8hLyuP+4+7Hauz99nZCCBFR/in2Oh0kBbc1aLTb1rAHgML4XIz6wJacBZLJ3ps1kLrzfgz5+b2O0T/F/oJxF6ALQ1Z8IYQ4nGTNvBB94fbbISMDnnkm0pH0aLd9HxDcHsAQfPI7Y3kl7sJBePJyer0nsMVgkY68EKJ/SE2Fr76Cl1/Wkqb2I9vqtc784PjAO92bt2p7zBsMeoYPKei6oKX3a9urm6pZVrwMkCn2QojY1L9aDSGixcGDUBkb67l3h5BpGILvzHsK89n72jMUfflucAG28eH2D/n5Bz9n1cFVIdchhBBRxWKBY46BE06IdCRht6d5j/nC+E4y0nfC0eRk555iAEYMHYzFYu5QxrynmOS3PsRcfKDX8a0vW49ep2di1kRGpo/sdX1CCHG4yTR7IfpCmZaJlwEDIhtHAHY27AUgP4iReVVV2dg8ZT4lOYncQDPTGwyoyaFPI31j8xss37+cYwYdw1mjzwq5HiGEiDoxsCwrWI9NWsQvR15OcYDbnm7ZvgtFUYCul2/Ff/UdGU++SMP6zRx8+elexTevcB7LLl+G2djxooEQQsQC6cwL0Rf8nfn09MjG0QNVVdlSryUbGpowKODjSkrLqa6pA7RR+R7XGXp96BQfai8yNR+oP8B3+78D4PJJl4dcjxBCRJW1a+Gbb7T2YlLv90yPJjqdjjRLCg6fM6DyGze3ycUypvPOfNyG5v3lpx3d+wCB/OR8shOzw1KXEEIcbjLNXoi+ECOd+f2OUhq9Dow6A4MCnAYJ7afYB5L8Lm7tRoYefw5Zd/w+pDgB/rPtP6ioHFtwLIUphSHXI4QQUeXTT+GGG2Dx4khH0ifcQWx76p/xBTBudCfLt1QVa3Nnvmlq7y58NHmaAEi0JPaqHiGEiCTpzAsRbl4vVFRot6N8mv3mei3R0JCEfEz6wCfqtB09CWS9vG31evQuNxgCy2Z8KFVVeXerttb+iklXhFSHEEJEJX82+36WyX5z3U7O+Oo6HtnyfMDH+HdJMZlMjBjaMfmd6UApxupaVJMR14RxvYrv3DfO5adv/pS9tXt7VY8QQkSSdOaFCLfKSm1rOr0e0tIiHU23NtdpU+yHBTHFHg4ZmQ+gM+/fX75p9vSgnsdvV80u9tbtxWKwyFp5IUT/UlWlfe1ne8yvq9nKuwc+Y0np8oDKNzba2bNXS5g3clghZnPHdez+UXnnuFGo1tCz2e+p2cP26u1sqthETmLgs9KEECLayJp5IcLN49GyEtvtIY9EHy7+9fKDE/ICPkZRlJapkAMzBpCZ0f3sA53bjXXjVgCaZk8LKc4vir4A4NjCY0kwJ4RUhxBCRCX/yHwvcopEo6kDjuKvk+/Gq3gDKr952y5UVQW6vkjcsl6+l1PsB6cO5qvLvqLaWU1qXGqv6hJCiEiSzrwQ4ZafD0uWQEkJNDZGOppuba7TptkHk/xu774SGu0OILAp9pbN29G73HgHpOIePiSkOJcWLQXg9BGnh3S8EEJErX46Mj8ssYDrEwaxo6EooPL+KfbQdS6WlvXyYUh+l52YzZxBc3pdjxBCRJJ05oXoK1G+zZCqqmwOIZN9sPvL2/xT7GdMgZ6y3neipqmG1QdXA3DaiNOCPl4IIaJaPx2Zh9CT3x3VWfI7YP/f/oh1ZxHOuTN7HZvNZOt5JxYhhIhysmZeiHBrniaIN7CphZFS5qykxl2HHj2D4wOfZr9+07aW2wFlsvd35ueEtl7+6+KvUVSFcRnjKEjpmBBJCCFiWj8cmVdUhVf2vMu3lavxqYFd2PaPzFssZoYO6fwCs5IQj+P4Y1DSQp8av2T3Eq5890o+2vFRyHUIIUS0kJF5IcLtjjvghRfg8svh6qsjHU2XUs3JfHXCv1hfuw2LoWOioa6sWb+55fb4sSN7LG+fOwPVbMYR4kiKf728jMoLIfql11+HoiIYPDjSkYTNAUcZF393O0adgbUnvYuhhwHwuvoG9u4rAWD0iCGYjN2cnlqtvYrts92fsWzfMqbkTulVPUIIEQ2kMy9EuB082DrSEsUsBjPHDJxCQXwOTp8roGMcTU62bG/OgD94EMlJPe/PW3vu6dRec2lIU0g9Pg9f7/0agB+P+nHQxwshRNSbNQtGj27d0rQf2Fq/G4DC+LyAtj3dvHVny+1O95cHBjz9Ejqvj7rrr8QzLLQLH4qq8HWx1qacOvzUkOoQQohoIp15IcKtrEz7mp4e2TgCFNSaxs3b8fkUAI6eMDbwJwlxJGVH9Q6avE2k29KZmjM1pDqEECLqRXmOlWBta9gDwJAAd0rZ0FPyO1Ul+T//xVhTR+OF5xB4q9Xe1sqtVDgqsJlsHDPomBBrEUKI6BEVa+afeuopCgsLsVqtTJ8+nRUrVnRZ9rnnnuOYY44hNTWV1NRU5s+f3215IQ47f2d+QPdbtkXaU9v/xXM7X6fCWR3wMW2n2E8aP7rH8nEr12IsqwBLaPsBj8kYw3dXfsc7576DQR/d2/wJIUTQSkvhySfhgw8iHUlYbavXOvMF8bkBlW+b/K6zzrzpwEGMNXUoJhOuo8aEHNdXe78CYF7hPCzG0PepF0KIaBHxzvzixYu59dZbuffee1m9ejUTJkxg4cKFlJeXd1p+6dKlnH/++XzxxRcsX76c/Px8TjzxRA4cOHCYIxeiCzEyMn//xif52cq7OegMfGrn6nad+R5OqLw+cn71W4acdjHmNidqwUqNS2VOgWwfJIToh7ZsgRtvhD/8IdKRhJV/ZL4w4M68NjIfZ7UwpDC/w+PW5rbHddRoVEvgOV4O5e/MyxR7IUR/EfHO/GOPPcbVV1/N5ZdfzpgxY3jmmWew2Wy8+OKLnZb/17/+xXXXXcfEiRMZNWoUzz//PIqi8Nlnnx3myIXohM8H/gtRUTwy71E8XFBwGscOnBZwJntFUVjbvMdvakoyhYO6P0mzbN+Fwe7Al5iAe+SwoGNUm3cFiDfFB32sEELEBP+2dKmhZ2ePRv4184G0L9W1dRwo0S6Cjxk1DIOh4yysuPVbAWiaOinkmOpd9awtXQvAKcNPCbkeIYSIJhHtzLvdblatWsX8+fNb7tPr9cyfP5/ly5cHVIfD4cDj8ZCWltZlGZfLRX19fbt/QvSJqipQFG0/9W5+JyPNpDfx58m/YfGsx4k3xgV0zJ7iA9TWNQDaFPue9udt2V9++tHQyclZT/6x7h/85I2fyPZBQvQj0h4foh9uS2f3OtjnOAjAkISOo+yH2tRuvXznye+szReSndOPDjmub/Z9g0/1MSJtBIUphSHXI4QQ0SSinfnKykp8Ph+ZmZnt7s/MzKS0tDSgOn7961+Tk5PT7oLAoR588EGSk5Nb/uXn99y4CBEStxtOOAGmTweTKdLR9CiY5HdrgpliD8St6d3+8p/v+Zz1Zeupdx3hJ/tC9CPSHh/CPzLfjzrzOxr2ApBmTibVnNRj+Y09JL/TOZqw7NSm7Tt7MTLvn2J/8vCTQ65DCCGiTcSn2ffGQw89xGuvvcY777yDtZts2YsWLaKurq7l3759+w5jlOKIkpcHS5bAW29FOpJu7bUfoNZdH1RnfvW6TS23j+6pM68oxK3dCIBj1rSQYnz0xEd5eP7DnDX6rJCOF0JEH2mPD+HvzCf13OmNFf7kd4GMykP7zvzYzpLflZThS07Ek52JNzuzw+OBUFW1ZZtTWS8vhOhPIro1XXp6OgaDgTJ/wrBmZWVlZGVldXvso48+ykMPPcSSJUsYP358t2UtFguWELNpCxGSKN9m6Krv72JJ2bc8MvF2Ts89PqBj1qzXpjmajMbOtw5qw7yzCEN9I0q8DVcAo/idGRg/kJ9N/hnJ1v4zYiXEkU7a40P4p9mnpEQ0jHBq3WM+wOR3m7UEqTZbHIM7ycXiHlbI7k9ew2AObYtTaLMlndHG3IK5IdcjhBDRJqIj82azmcmTJ7dLXudPZjdz5swuj3v44Yf53e9+x8cff8yUKVMOR6hCBKY5aVu0d+Y31+8EYJAtO6DyNbX17C7SRtDGjBqG1dr9ybht9XoAmqZMBGPo1wzjTIGt5xdCiJjUD6fZt2ay7zn5XUlpOaXllQAcNWYEen0Xp6UGA768nJBj+rpYG5U/tvBY2ZJOCNGvRHRkHuDWW2/l0ksvZcqUKUybNo0///nP2O12Lr/8cgAuueQScnNzefDBBwH44x//yD333MOrr75KYWFhy9r6hIQEEhISIvY6hABg0SJ4/nm4/HK4+upIR9OpWnc9JU1axv2hCYMCOsafxR4C21++YeE8vOlpKEMGhxTjH5f9kcyETG6deSvptuje4k8IIUJ2331w4YX9Kpu9f5p9IJnsV61tXb41ecLYjgX8F8i7WUoZiB9KfgDgxKEn9qoeIYSINhHvzJ933nlUVFRwzz33UFpaysSJE/n4449bkuIVFxe3u1L7t7/9DbfbzTnnnNOunnvvvZf77rvvcIYuREcHD2rTJv0nIFFoS/0uALKtGSQGuO1bsMnvfKkpNJ66AHKCH0lpdDfyj3X/wKf6uHbKtUEfL4QQMWPCBBgxAvpR7gCrwYxFb2ZwQs+d+R+ac6sATJk0rmNd6zeTc8cfaFx4HOVPPBByTI8tfIwtlVuYO0im2Ash+peId+YBbrjhBm644YZOH1u6dGm774uKivo+ICFC5c//EMV7zG+u06bYD0ssCPiYYDvzAMSFNkV+9cHV+FQfBckF5Ccf4ZmuhRD9X5QvywrWNwteo8JZRZWrtseyq9ZonXmDQc/EozrO+rKt3oCxshpDTV2vYkowJ3DS0JMYYIvetlkIIUIRFZ15IfoNf2c+PXqnhm+u00bmhwaYadjj9bJ+k5agKDcnk8yM7k+GEv+3FNP+gzScdyaeEKaOrjywEoB5hfOCPlYIIWKGqsLTT4PFom1n2o8SA/pUBb2u+7RMtXUN7NitbWM3esRQ4m0dLwDHrW7e4nR2aLuitKtLcrAIIfoh6cwLEU4xMDLvn2Yf6LZBW7btwulyATDpqJ5H5ZPf+RjbD2tRBuVTO67n9fWHWlmideaPKzwu6GOFECJm2O3gn5W4enW/6MyrqopOp8Ppc/VYtu12p5Mndpxij9dHXPOsMMfs6SHH9Pjyx/EoHm6fdTsj0keEXI8QQkSjmN5nXoiooihQriWWi+qR+Xr/yHxgye/8W9IBHN1D8jud04m1+QTNPm920LE5PA42lGsjMccWHhv08UIIETP8mezNZrDZIhtLmJzx9XVM+u8ZfFX+Q49l262Xn9gx+Z1l+y70jiZ8SYm4e9gOtSuqqrJ402JeWPMCVU1VIdUhhBDRTEbmhQiX6urWtY9paZGNpQuVrmr22g8AMDzANfOr17eOnhzdWbbhNuLWbkLv8eDJGohnWPCZ7NccXINX8ZKXlEdhSmHQxwshRMxou8e8ThfRUMJBVVW+rVxDpasGm7Hn7POr13Y/Mm/zT7GfNgkMhpBi8qk+7phzB5vKNzE5Z3JIdQghRDSTzrwQ4eJywfz50NCgjbREoe8q1wEwLKGAZFNij+UVReH7H7Q94xPibQwfWthtedv3qwFwHDsrpJPTFSUrAJhbIBmHhRD9nH9kvh9tS7dq4dssLV/BqMTuL+Y6nS42btkBQOGgXAakpXQoE7emuTM/J/Qp9ka9kTNGncH1U6/HbIjOdlkIIXpDOvNChEtuLnz6qbY9XUNDpKPp1PLKtQBMSg1sLfuW7buoqdWyCM+YOhGjsfvREdv3awBwHH9MSPH5k9+dMPiEkI4XQoiY0XZkvh/Q6XQMis9hQdYsGjz2bsuu27QVj9cLdL4lHYBz9HCM1bU4ZknyOyGE6IqsmRci3JpPUKLR8kqts31USmBJgL75bnXL7dnTj+62rKGqBuuO3QA45s4MOjan18n6Mm0WwLEFsl5eCNHP+TvzycmRjSPMAkl+t6rNFPspnSW/A6qvupDid17CdfT4kOJQVZV/rf8XWyq2oKpqSHUIIUS0k5F5IcJFVbWp5VG6Z7Cqquy27wdgYkpgI/PLvm/tzM+Z0X1n3ly0D8UWh7twEL4etq/rzNrStXgUD9kJ2QxJHRL08UIIEVP80+z7ycj83ev/jElnYt7AqWTFZXRbdlWb5HeTO0l+18La89r7ruxv2M9vv/otRr2RujvqsOn7R5JBIYRoSzrzQoTLnXfCs8/CZZfBNddEOpoOdDode370GSuq1pNkiu+xvKPJ2ZKgKD83m0F5Od2Wb5o8np2fvYHRGNr2SisOtK6X1/WDZFBCCNGt88+HceOiejZXoBRV4S/b/0m9p5F3j3m628681+tjdfMuKRnpaeTnZncoY965B09eDmovtuv74YCWUX9S1iRsJunICyH6J+nMCxEupaXaSEsUT+fT6XTk2jJxeJt6LLty9fqWNY2zexiVb2Gz4c3NDSk2/3r54wcfH9LxQggRU4YMgcJC2Lkz0pH02vaGPdR7GokzWBiW0P1OKdt27sbh0NqgKRPHdbx4q6rkXb8IQ30Dxf97E9f4MSHF9MNBrTMvy7aEEP2ZdOaFCJeyMu3rgOCnmB9OgaxnBFjWdr38tEndF1YU0OshLvQkQ1dNvoqJWROZP2R+yHUIIURMUZRIRxAWP1Rp0+bHJg/HqO8+UeoPa9qsl+8k+Z1p736M1bUoZjPukcNCj6l5ZH5e4byQ6xBCiGgnnXkhwuXgQe1renpk4+jCCZ9fSqopieuGX0CeLavH8t82r5fX6/XMmDqx27Ipb7xPyuvvUXvVRdRed0VI8R1bcCznjD6H1Lj+s02TEEJ06c03wW6HYcMgo/s15tFuZbW2jdy45J6Tq7ZbLz+h43p522otEarz6KNQLaFtJ1duL6eorggdOmYPmh1SHUIIEQskm70Q4eDzwdat2u3CwoiG0pkqVw2fl33HW/v/R4Kx5/XypWUV7NxTDMCEsSNJSkzotrzt+9WYiw+gc3t6FadsHySEOGLcfbeWY2X37khH0msrq/0j892PpKuq2pLJPiHexohhhR3KxC/T8qc45oXeCf+hRBuVHzdwHCnWlJDrEUKIaCcj80KEw65d4HRq08wHDYp0NB0kGuP54viX+a5yHSnmxB7Lf9O8XzwEsF7e4yFutTYq4zhuTkjxfbTjI5ItyWSPycZqDD17sRBCxIx+ss+8R/GwpmYzAEf1MDK/u2gfldU1ABw9YSwGQ/sp+TqnC9uKtQA0nnRCyDGtKlkFaAlVhRCiP5POvBDhsEHrzDJ8OBi6Xy8YCWaDmXmZ0ymMz8Wt9Dx6/s33q1puz54+uduythVrMdgdeDMG4DoqsC3v2lJVlQe+foAKRwXD0oZxTMExQdchhBAxRVX7zdZ0m+p24vS5SDTGUxDf/a4nn3/9fcvtWdMmdnjc9sNa9C4XnuxM3GNHhhzTmlLtgrR05oUQ/Z105oUIh+RkOPlkyM+PdCRdUlQloI68oigtI/MJ8TbG93BClfjFMgAaT5mvJcELksvnYnredLZUbGFyTvcXDoQQol+or9eWZ4HWfsSwlVXaxezxKSPR67pvAz7/annL7ePnzuzwuH+Kvf3EeRDiFqVNnia2VmrL3mbmdXwOIYToT6QzL0Q4zJ8PJ5wAO3ZEOpIOfIqPO9Y9yviUkRydOhaTvvs/+83bdlFbVw/AjKkTMRq7mWng9ZGwVDs5a/jxySHFZzVa+dOJfyI7IVv2AhZCHBn8U+zj4sAa20uLfqhuzWTfneqaWtZu0DrZQwcPoiC/4yh+9cU/wT2kAOf8eSHHs6liEz7VR3ZCNnlJeSHXI4QQsUA680KEiyuwLd8Ot831O3l064vEG22sPPGNHsv7s9gDzJ7e/Xr5uNXrMdTV40tNpmnW1F7FKWvlhRBHDP8U+9TY372jNZN99535L79ZidK8Fd9xx0zvtIw3N4vaqy+GtLSQ41lbuhaAqblTO+5hL4QQ/Yx05oXoLY8HamqidnRleeVaACamjMKg63k9/7I2nfk5PSS/86WnUXv2aShZA8EY2sfJ/vr95CflYzKYQjpeCCFijn9kPsan2Dt9LjbUbgfgqJTuk9990Wa9/PFzZ3RdMK53u5qsL9O2tpuVN6tX9QghRCyQzrwQvbVhA0yeDCNHwnvvRTqaDvyd+fEpPScTqq6p5Yc12ihLfm42g/K6T2bkHlJA+d2/gLzQpjJ6fB5OffVUTHoTm67bRH5y9OYcEEKIsJk0Cd59F2prIx1Jr6yt2YJX9ZJuTiXbmtFlOZfLzdfLte3iUlOSmThuVIcy6X95HndBPo1XXIjSi/786IzRVDgqmDMotN1VhBAilkhnXoje8mey78W0wL70XdVaACakdDx5OtR/l3yNz6dNg1x4QoAnQvE971vfle1V23F6nVgsFnKTckOuRwghYsrAgXD66VBUBG53pKMJWb4tm3vGXU9pU0W3U9q/X7UeR5MTgHmzp3bYks5QVUPqK2+hU1V2/fQsSOp5C9WuXDvlWhbNWcTA+IEh1yGEELFCOvNC9FbbbemiTJWrhq31uwGYkNpzZ/79j79ouf2jk47rtmzCF9/gTU3GefKCkONbV7YOgCk5U3rMgiyEEP2OP6N9jMq1ZXLvuBvY1ViMqqpdlvvi6+9abnc2xT7+m5XoVBXn+DH4snrfCY8z9m6qvhBCxArpzAvRW1Hcmf+w5EsARiUNIc3c/drMfQdKWbN+MwAjhhYyaviQrgsrChmP/g1TeSUHXv27to1QCNaVap35WfmytlEIcQT54gsoKYGMDCgsjHQ0vWL3OrrtyKuq2rJe3mQyMXtGxy1I45s7+40Lu7+I3JN9dftIi0uThKpCiCOGDIUJ0Vv+zvyI7pP/RMKb+z4GYEHm7B7LfvBJ4KPy1k3bMJVXosTbcHSyV3Cg/CPzM/K6SYYkhBD9zb33wkUXwdq1kY4kZF+Vr+SdfZ9S5qzsttzW7bs5WFYBwIwpE4i3tR8117ndxDcnXrUvPL5XMf16ya+Z8twUPtj+Qa/qEUKIWCGdeSF6o6oKDh7Ubg8bFtlYDlHvaeSTg8sAODG7+868qqrtptifunBet+UTPtfqbZw/F9VqCSm+Omcde2r3ADAtd1pIdQghRMxRFFizRrs9dmxkY+mFx7b+H2ctu4Gntr/abbnPvup+in3c6g3om5x4MzNwTQj9/VBVleqmahRVYUzGmJDrEUKIWCLT7IXojY0bta/5+ZCQENlYDvHhgaW4FQ/DEgYxPKGg27Jbtu9i155iAKZMGkdudmbXhVWVhM+/AaDxjFNCjs+/fdCQ1CGk29JDrkcIIWLKjh3Q2KhtwTZ4cKSjCdm4lOGsr93GcZmd7xnv93mb9fLHzelYNmHpt4B2cZhe7Auv0+n4+KKPcfvcDB8QfcvehBCiL0hnXojeSE+Hm27SRlqizJv7PgHgxOw53WYZBnj/v8FNsTeXlKJYLdiPPybk+PxT7GVUXghxRFmtTSln9Ggwxu5p2O/H/4Kbhl9CjbuuyzJlFVVs2rIDgDEjh5Kd1XH7On2jHVWno/Gs08IS15DUIZJQVQhxxIjdVkSIaDB2LDzxBOzcGVUd+kaPnY8OasnvFmR2n1zO5/Pxwf+WAmA0GFjYQwc95fX3tOc4dQFqvC3kGP2d+dn5Pa/nF0KIfsPfmY/hKfZ+dp+j24vF7/3385bbxx3TeW6U0t/fQeVdt+IdGZ7RdEl+J4Q4ksilSyF6y+OJqo48wH8PfoXT56IgPofRSUO7LbtyzUbKK6oAOGbWFFJTkrou7PVh2aFtdVdzzaUhx6eqKutLtWn203O7n6IphBD9yqpV2tdRPW8XGo0UVeGz0uU0uu14FG+X5Xw+H/9+831AmwL/41NO6LygTod3xDDQ9+6U9Lw3zuOa969hT82eXtUjhBCxREbmhQiVqsJ330XltkLzBk7nman3U+Ou73mK/cetIyenn9RDJmGjgb3/ehprcQmuo8eHHN/eur3UumqxGCxMyJoQcj1CCBFTVDXmR+ZXVm1g/heXkRuXyZLj/q/LKe1fLFvBgYPlAMydNYWC/Jx2jxsqqtD5fHiHDgaDoVcx1TTVsLZsLQCpcam9qksIIWKJjMwLEariYpg1S+vMezyRjqadDGsalxSewVl5C7ot1+R08slnWmZ6my2O4+YGMEpuMuGcN6dX8fmn2E/ImoDZYO5VXUIIEVM2bIB//jPqdkAJ1HsHtAvAk1JHd7s2/ZXF77bcvvAnp3d4PO3lNxh8+qWkvbS41zH5E6oOTxtOWlxar+sTQohYIZ15IULl319+6FAwmSIbSycavY4ey/z7zQ9paLQDsPC42cRZu15raDxQis7pgsTEXmUcBthXtw+QKfZCiCOMTqftfnL88VHZbgTC35k/dmDXyUt37Slm+cq1ABTk53DMzMntHtc5XSR9tASdquKcMrHXMfkvEEubIoQ40sg0eyFC5d+WbsSIyMZxiIc2P0uC0caMARNJMsV3Wc7R5OT5f74BaOsZr7z4nG7rzb73YcxF+zn43GM4epHFHuCGaTdw5aQryU7M7lU9QggRk1yuSEcQkt2N+9hYtx2DzsDcjKldlvvXG++33L7gnB+hP2Q9fMLnyzDUN+LJzcYxr/dJUNeVap35WfndJ3wVQoj+RjrzQoSq7ch8lHD53Dyw6RkavHZem/UYk1LHdFn2329+QFV1LQAnz5/L8KGFXZa1bNtJ3LrNqEYDrtHhuXiREZ/BwPiBYalLCCFiwv33a1/nzoXc3MjGEoJ39n0KwLQB40kxJ3ZaprHRzjsfLgEgzmrhrB91XO6V/J+PAai76Ce9TnynqErryHyejMwLIY4s0pkXIlT+znwUjcx7VS/3HXUjn5Z+y4SUrjMlHzoqf/1VF3Rbb8pibTu6hlMX4MvODEussn2QEOKIoqrw179CVRW8+WbMdeZdPjd/3v4PAE7O7np21jsfLsHhaALg9FNOICkxod3jpqJ92NZsQNXrqb+o+xlhgdhVvYsGdwM2k43xmaEnZhVCiFgka+aFCEVVFWzZot2Oos58vNHGL0ZexlNT7uk2MdGrb75PdU0dAKcsmMuwIQVdltXX1pH4yRcA1PZiOzq/d7e9y4VvX8i/1v+r13UJIUTM2LdPazuMRhg5MtLRBO2lPW+z31FKljWDM3Lnd1pGURReef29lu8v6iTxXfI7/wXAfsJcvGG4OLy2dC0AR2cfjVEvY1RCiCOLdOaFCMU//gFeLxx1FOTk9Fz+MKr11OPtZu9fR5OT519+E9BG5a+7svtR+bSXXkfv9uAcNwrn1Em9jm9VySp+KPmBffX7el2XEELEDP/+8iNHgjm2dvFw+9w8sOnvAFw99CdYutiF5OvlqygqPgDAtMnjGTGssH0Br4+EZd8DUHf5+WGJbU3pGgBm5cl6eSHEkUcuYQoRiiuu0DIR6/W9zuweDi6fm4VLr+SSwjOYnX50tyH96433qakNbFTevH03qa+9A0DlXb8My2u9ctKVTMmZwgmDT+h1XUIIETNieH/5fxa9S7GjhIGWNM7JX9hpGZfLzQOPPdPy/UXndhyVx2hg7z+fJOnr77EvODYssflH5mcP6n0iPSGEiDXSmRciFCkpcPHFUF4e6UgAeHbXYr4sX8G2+j18Mu95rAZLp+Ua7Q5e+GfrqPz1V13Ybb1xazeCCg2nzscxf25YYi1IKWDcwHGSyV4IcWTxj8yP6jqfSTTyKB7+sEnrpF859Cddti9Pv/Bqy6j8hHGjmH/szE7LqWmp1P388rDEVu+qZ1fNLgBm5M0IS51CCBFLpDMvRKhqayMdAQB2r4Pfb/wbANcOP7/LEy1VVbnngSdaRuVPPfFYhg4e1G3ddeeejnP6ZHwjh4c1Zkl+J4Q4oqhqa2c+xkbmXy36gD32/aRbUjk3/+ROy2zdvpvnX9aSqpqMRv5w1y0YDIbWAl4fCUu/ofH4OTBgQNhi829JNzhlsOyOIoQ4IsmaeSGCUVoKM2fC3/4WNfsEP7HtZcpdVRTG53JWXsctgPxefeN9PvzflwAkxNu45ecBJLMzGHAdMzMsSYoAvin+hn+s+we7a3aHpT4hhIgJVVXQ0AAGQ8yNzD+7azEAVww+G1snF2K9Xh93/v5xvD4fANdcfl6HrU5T3v6QnEUPkHP778KaL8A/xV5G5YUQRyoZmRciGC++CN99pyW/OyHya75r3HU8vOV5AG4YfhFmvanTcus3bePBx59t+f7Be24lP6/rae6p/3wD++xpuKdN1k4+w+T97e/zztZ3MOgMTM6ZHLZ6hRAiqqWnQ309rFgB1tiamfS/417kiW0vc1IX29H949/vsGnLDgCGDR7ENZed1+5xQ00tA555GQD7KV1fcA7FJRMuYULWBI4aeFRY6xVCiFghI/NCBMrng2ebO8TnnhvZWABFVfj5ynup8zQwKmkIp+R0vqa9praem+/4Ax6vluH+8gvO4sTj53RZr+371WT85QUGXXwDBntTWGPeUL4BgKk5U8NarxBCRD2jMep2PwmEzRDHTwtOJcFo6/DY3n0l/OXv/wS0PCy/v+sWzIeMvKc/9X8YGhpxjhlB3WU/DWtsydZkThp2EtPzpoe1XiGEiBXSmRciUB9/DHv3QmoqLOw8m+/hoqoqt6x+gNeL/4tJZ+Susddi0HUcQVcUhV/f9wglpVqivknjx/DLG6/osl7r+s1k//r3ANSffxa+rPCtQWx0N7KrWktUNDVXOvNCiCOEqmpth6KA2x3paAJS6armnvVP4FE8lDkrO93u9MDBMq6++S6czUvOLjr3dCaNH9OuTOo/Xif53U8AKH/43rDO9PKTHCxCiCOZdOaFCNQzzVvunHVWxKdJPrT5Wf66XRsNeXjir5ia1nGKYaPdwS2LHuDLb1YCkJaazBMP3onJ2PnqGuuGLeTedBcGuwPHrKlU/G5RWGPeUrEFFZWcxByyErLCWrcQQkStV17R9pZ/5JFIRxIQVVU5++ub+N2mp7ni+zup9zR2KLOraB8XXPVL9u4rAWBQXja/uO6ydmVSXn2bjCdfBKBi0c04Z0wJa5xf7v2Sx5Y/1pIETwghjkSyZl6IQPzvf/DRR9rtc86JaCj/t/st7lz/GAB3jb2OU3I67tVbVHyA62+7n517igHQ6/U8+rtfkzkwvdM6rRu3knvjb7SO/MwpHHjtOVRbXFjj9k+xn5wta+WFEEeI/fvhxhu1hKlRspVpT3Q6Hb8cdTk7G/dywaDTOjy+edtOrrzxN1TXaDujFA7K5aWnHiK+TZuhr61nwIuvAVB523XU/PK6sMf5v13/483Nb5JsSeaEIZHPYSOEEJEgnXkheuJ0whVXaFMkTz8dhgyJSBiqqvLSnre5esXdAFw77HwuLjy9Q7mly77ntrsfpqHRDkBiQjyP/u52Zk8/utN6zbuKyL3hTq0jP2Nyn3TkATaWbwRgeq6sbRRCHAFUFa68EurqYNIk7XYU8yk+DHptGvyCrNl8Mu+FdklVVVXlq29XcutvHqLR7gBg9IihvPDXPzAgLaVdXUpKEvuefZT4tZuoufXaPol3XsE89Og5eXjn2+UJIcSRQDrzvaQoUFys7TiTmAiDBoH+MC5eCPfzd1Wf2w3vvgv79kF+Pvz4x1oun0PLQmD3hTPGvDxt8KOurvW+5GQtz9CKFVBWBhkZkJUFu3drxyckaGWSk7Xji4th61Y4eBBqasBmg3HjYNYs0JutlDz9HoZHH2L7wnto/FCLPyMDJk7UYlqzBrZv1/r9Q4bAsGGQm9v561QUKCkBux3i47W4Sku1781m2LwZtm3TzgMnTtTqAti8286tpY/hw8dM3UnMqL2EdevA1bwE88DB7Xy05C2+/u4rVFUFoDB/EL/55b2kJOXy/Qqor4PklNbYmpog3pxD+sSx6L0+Dix+HjW+Y5KjcPCPzE/Lndbpz/Fw/+30B/IeCtFesH8TgZZvW85i0T7z9+/XVlxNm6YNvCcmav9A+zzPfv9Z0v/3P63QH/6gNZqH1FlSAg2N0NgADq1/jNWqtSWqqtVTUwNxcVqbZrfD+vVauZEj4fjjte/9W9hPnAg6ndbWddYetW1/bM0f9Q0N8NaOZTzZ8Ht+Uv4oM7JH4LCVU9dgwuXS2sviA1v54H//x449rVPaR48Ywx03/5bq6gQ2rAfD7n0UlG6m5tSFJCQbsAyZSc5xx6LXhfCDDMCCoQs4c9TZuKuz2LBBPgPDRdoVIWKLTvWf9UfQU089xSOPPEJpaSkTJkzgr3/9K9OmTeuy/BtvvMHdd99NUVERw4cP549//COnnHJKwM9XX19PcnIydXV1JCUlhRz3li3wzjtaJ9Dp1BrgUaPgzDNh9OiQq43Y83dVn9MJr76qdTh9Pi1/TVqaNtCQnNxaNi1Nq6e6uvv7whmjy6V1SL1eqKho7SDbbNq2vi4XeDxaGUXRzqVUVWuYBgzQLkw4ndprKytrPYHS6yEvrorUYQMoyFdw7jpA7cEmGhu1x00mrZFLTQOPu/2xBgNkZmonWT/9KQwd2hr/rl3w6afaiZbLpV0k8b8vBw/Cnj3N9TSXV631xJGI2aTD44HyMW/hSt9J8uqzm0dQfDg9P1Btf5Mm94Z279WA5DmMyL8Vr9dGY6P2Puh0kKBzckXTW3ySeyqW3BQS0ixkDkvkhBP0FB4VH/wPJQC1zlqmP6+NyFfdXkVZUVpE/3b6g0h//oj+KVztYySeL9i/iUDLty23cSPs2NH6ee//zE9K0nKjGo1aPRMSd/PM8vFYvXYqrrmLjFsvbvfc/rZg3Trtdk2N1o4pitbO6vWt34P22a0orW0DgF6nPbeqNj+mao/rmsvrdO3bo1mztAvFu3dr7WNlJVQpZWya9BC1o7VlZLYdx5Dx37tAp6KqPlzeLdQ736bJ/W27+OMtkykceDd6g5W4pnquq3+FC5s+QEXHCRkvUzRwPMPHmJkwARYsaN8OhsuuXbD800yKtiXLZ2CYSLsiRPQItH2M+Mj84sWLufXWW3nmmWeYPn06f/7zn1m4cCHbtm1j4MCOmbS//fZbzj//fB588EFOO+00Xn31Vc444wxWr17NuHHjDlvcW7bAX/6iNYb5+VoH0m7Xrtbv2wc33dS3H3zhfv6u6nvjDW2kWKfTTlYsFmhs1K7sl5bCnDkwe7Z2Fff997WTiWOO0UYMiovhvfe0Y+fM0e4LZ4xNTfDNN1pH2uOBlBTtX3m5drIF2miGqmplfT4tFqtVO+EqLdX+eTzaSZOqwgClgnN4k5/6/s3kxlWctPYT1m8YRJrNidOpnTD5T7Lq67ULCP7Ov8GgffX5tHo//FCL9YYbtBOZXbvg5Ze1k7bsbC2mNWugtlaLtboaPG0SBlcsfJDaaa+Q+Z+HSNy8EI+tCuOeYag7jdR4FuPybsTl2YJK++3jDPpk0hPPJ8X2Y6qqdHi9kO2r4FjPSo5zr2CWaw02XKS6a3nQeh/D8xMo3Q3FNXCJrW9OujaVbwJgcMpgyorSIvq30x9E+vNHiGgT7N9EoOXblquq0tpDj0f73PfzeLTPdf/sqpQU+Pmun2P12tmWNpN/117IxbtaP1v9bcG+fXDggPbZ7/NpF3j9nXfl0GGWToZdFBX8Seb1ujYXgdHiMzdfvC4t1driL75oHmXN28P36V+wb/QX1GevAr0PFD2Ja0/DtvxYGlwf0ORZhdOzFlV1tHtOoz6bFNslDDWOZV71UuZ4VjHXs4qk5nIfmuZywJfJwUozyjbtNR08CJdcEt625b+r1vPRRwbiSnIYkiefgeEg7YoQsSniI/PTp09n6tSpPPnkk4C2lVZ+fj433ngjd9xxR4fy5513Hna7nQ8++KDlvhkzZjBx4kSe8Wcb70FvRwIUBR56SPuAGzMG9u1bhs+nzXX270AzfLg2KtsXU5MUBf79b9i5EwoKtA6qXyjP31V9Ph/85z/a1L+4OG2qHWgf7m639rjNpk2537RJOyFRVW3Ee9w4bQSjqkqrLy0NjjpKux2OGAE2bGgd8W9o0C42DByojTo0NWmddq9X+2cwgE7xYfK5MRrBnBpHbS0keeq4QPc5+Wo549nNCazGiNLyvE9wOo9yFqDF6d8+1+drPqFrLqfDn+BeRUUbrTcYID1dZdoMHwsWevnoUw9FBzyk5TTh1Deyp8xOnacRdUAVFbpyPGnlJHy0EENlPAqNOGZ/h3PBWvQ7UjD8OwmvUo6KsyU2I2AGrEASkK7PxGadz7748zAZzegUH0/X3M9g7wEGKwfavZ+7DXksSrydT9MXMnIkHH20doI5dixcfXV4f29XHFjB4k2L+WD7B/xk9E+YuPP1lr+dQ393N2/WYvn1r2VaX1cO/fyR91CEUyyOzLf9m0hJWYXbXdfyWGftTaBt6HnnwWuvaeXy87WlZg4H6FAxql5S1XoyqSFbV0O2WskbzIOEOGw2uMH9Ojc2vMpj8+5mQ91ACgvh1FO15/jgA9hbBI12bao+Knh9Wrt66Oh7R+oh36na/zofqtGNTtGBzwAoqBY7vuFbcSdW4EktRxlQiTKwAndiXbs6dMU2+EgPpY3t2pTE5n8DgHKS2R1/CQmWhcz0buK1+l+3q2OjYRg3x9/FUstMDEZQm2fCjR+vXdwYNy58bYuiwEl/u5K96jJOVp5imq41uZ58BoZG2hUhok+g7WNEO/Nutxubzcabb77JGWec0XL/pZdeSm1tLe+++26HYwYNGsStt97KLbfc0nLfvffey3/+8x/Wret8exKXy4WreR9U0N6c/Pz8kE8eiorgnnsgPV3rQD72WC4jflTC6mFdH9P2TfZ/Ria6ofqh1vtT74BGM8z+EJY1r3+b9WNYPiG4es0K2H/fen/eL6EsHo75Gr76Qrvv2BPgq9ndvsxO6/b8tvW+0TfAzjSYtRa+eU+775ipsKyHXDSd1bv5rzC8Rrs94ypYlQOTd8AP/9bumzIcVp0ffL0f/QsWalubc+oF8PEwGHsANr7Q/BoGwNbrg6/34Q/h4uaf0Y1nwJsTYGAVlD3ZpuA9hxwUgJu+hrs/0w55bQLccyKMKIbvFreWGXY91HeRn86LgVp9YstTpip16FF5cAmM2zye943HsXhwJjtO/RO62iEk/O8VMjK0mRMfx59PnW4vcTYwBNhYXznpSq48WkvqtKt6Fxe/czGpcal8eMGHLWVOe/U0dlRrUyXumvIYexf/ouVv51B1ddoFoN/+FgoLA4vhSHPo58+h5D0UvdHXnflwt8fQ/m/izTdnU3jUtyzrZhe0Q096dIBBBdfvWu8bfAvsS4JjvoevtG3SOW4OLD2++1g6bd8ehtTm67DzroVtGTBkM+x6U7uv8CjYe2Ynlem6jhfgo+dgkrYzHKdcBavzoGAP7P2Hdt/AwVB+aedBmnyg84Hbq32vB/x7nXzyCkws1W7/dRr8fi5M3FLAtu/+joIeg6ER+yVn4cWAW2fGjQmPztTJE2kdP1PzQ7+f+ydOnzQTgPe3vc+Dyx5kVv4sHj3x0Zbyx/3jOFxeV2dVtfApUOusAZ3Cz9TVZDOp3ePyGRg8aVeEiD4xMc2+srISn89HZmZmu/szMzPZunVrp8eUlpZ2Wr60tLTL53nwwQe5//77ex9ws4YGbTQ4vs3yYq8Z1AA7QP6G2WUEQ5v7XUatDl2bO30h1Oumfb1NpuY62rS1ijHwetvW3bZeR3NsSts23BBavTp9a93+ej3m1nK6EOv16ltPfOzN9bra1FupD61eswH8v4WqCVQdeEyHFAwh6c/o2tYTqnQvVMeD0wpgRa/LwqDPoTr+W6q7zFHnA2pbvqts/npzwl14k67H4wGFb8BWBU3p4ErCawdc4Emqx6WrwtX9eVQ7iqqQZNE+YOJMcVQ1VaHT6VruM+lNnDD4BIanDWd85nhOTbuKxw7522krPl6bdtrQEHgMR5rOPn/akvdQRLNwt8fQ8W9CMQX/ue5t7tD6OUwd2zdfiO3mQKA5fQzuTuoNtd1M0re2Q/4kc9427Zuhq89yHXiMaGeAFu0uBfBvnOfVgwsjjSSw36xQnlBPuTmBYtc4VAxgskMCaO1NU/O/zimAPwyvy9jSNuh1eqqaqmjyNrXcB1DdVI3T6+xYUSevIVktIJOjOjwkn4HBk3ZFiNgV8TXzh8OiRYu49dZbW773jwSEKjFRm1Jtt2tXMKdNu4m43d8zZJ92idznA59Xy5JuaW4oyzMycFu0Vjaprp6khgasipFXzmq9MHHL3jKcei+2GUdxzHwtX4CvZhfT9xS1e36XS5uaZzBCSfwAGk1WAFI9drKctahuPTfnZzNmjPYBfP2BChr1bmwjRzJnSh4ASsN+Ju3Z1qE+Q3OPutSaQrEzngMlMEBtYpiuGoMBfmrJbUmkNuyNKvLinaj6QgYOHIrRCBUlZcx7d2PLWiv/dCxFgaRkqLYlU2lOwOMBo9PNvIwKLBb45thMVjb/Op5fW0OF3YHVls+pd44AoLa0loFLVrXE6PNBXZ0OnU6bmlimi2efLhmzGTyNXo7SVaACjxdn8Wcs6PQ6Gj+sY+iAJmprM4iLG4bbDZXVbvJeW9Py3uppXQqgAA7MVKMNgxt0KoP0Wkv29+KBPIvWo3YtqSd/XQ2+phQslhGADp9PIe/lNVgtOlISjYwcamDvbj1xJj0Wk5EGxcza8lRMJj0ej4mkqlp0GPhzXQZ/JQVIxLPTQOHTTZS584FTUVQdig+MLy4lTQ9uzHgw4cGEgrFlBMTt1n6WoP0eAjQ5srEqA/C6QLdrIdb/24DisWBoysKWDKkmOL3hI6rqXNxwvZb5OBAD4wcyMF77XU2xprDh2g0YdAayErJayvzttL+13C4qav+3cyi7XXvcnxFadHTo58+h5D0U0Szc7TG0/5sYP/4SfNWDOfPrnS2PH9om749LZeVuGxYzDFAd5Dhr0Ks6Fo3SPvg8Hjj28woSC93s3D+UadMKqK+HTasOMr50Bz50eNHRhAkFrd1QgBricJnM6HWQYvWS7rOTkgY/H1qAx6Vn8mRYUFfBmvWNKI5c6gfk4XBAfXEdBYu3auvk1UOvAuuow0I9VlB1GFHIUbRtR68sy8aACdDheqOewTYX9Q3pQD5goKLMzYi/7wFMeHxGTEYTNpsJvdGG3hBPUdVAKpU8tEsNZpKpw4OJWdWj8JCiPf3qCthexlpnCjQ2Nww6Hzy9gc74k8wajdoIelYmTJ2q5YM57YICshK0D6bLJl7GgqELSDQntmsvfrj6h+alA107cACefAoKk4agT+p4GiufgcGTdkWI2BXRznx6ejoGg4GysrJ295eVlZGVldXpMVlZWUGVB7BYLFj8veowGDRIy+7pX1s0Z07r2rHDsbao7dqmU7pY25R1Mlwd4PN3tlZqPNoJ0JNPQk09bEnQ1r3tz9SmWzmd4C3RPvSvuw5sy7UkN6oK+lQ4eraWnK6kRKsvOxsmzmntKG/erJUJ9D06NEaAZcu053Q4tLXzOc3Z6dfvgDWN2oUMj14bgTAaQakDT6W27n3gQC15ndsNB3e0JsczGrWvPl9rdmB/VmCdHqqaR8Q9XnA2vxZqQFfb2hgqivb+lJdq09FOO117nQ8/3D5+tTn+tDRYsVM7gYTWn6fqonWohNbHKqvntSRJanu/vnl0x6i2nlDRnA1Zpwedds0HvTcBtWwceh0Y47XtjpKS4MCW4cw6GhZMCO331mq0Mm5g90koD/3bOfR3d/9+7W/Hv6Wh6EjeQxHLwt0eQ/u/icmTr0Gnu6blsc7a5J7WB+/cDJOPhl/9qvVze+RIePpp2LSjtQ7/57DBoOVm0eu1HV6SksDmgaxsmD1DSyw2rfn5QXvu1ashMV7LLaMoUHNAa8va1tsZL1Dc2QO1tJ2UBWgJ8g42au0RaO3T0cO1OA8eBE8T0Gb5fPuV9M0cGdq/tlQDlLf/rG9pt/TN7a0CZhMMGw76Spg1Gca0SYCXGpdKalxqh6cbO3BsZ1G0MyYdVg3Rfi5p8hkYFtKuCBG7IprGwmw2M3nyZD777LOW+xRF4bPPPmPmzJmdHjNz5sx25QE+/fTTLsv3Bb1e26YjPV07Sair0xryujrt+/R0OOOMvksSEu7n76q+xkatM2o0aqP3/hMNna71xMW/z3penlbG5dJGdRVF++q/Ly/PP5oenhjr67UERUajluzO3wlvaNAS9fljNpu1Tr3P1xqz0agdbzRqCfyMzaP9/tfl8bRmrfdnqU9K0r46HLRktY+L0x7X6bSv/q3y/CdOiYla0r+zztKeo6v4i4q0Pev96wr92x21bUz9/FsQteXffsi/dZHF0vqaTKbW99jlav869XrteXNztZPNvv69hcj/7fQH8h4K0V6wfxOBlm/7ub1tm9beGY3tL/ZC6+ep2aw9pqpa+5CX1/Gz1f/c/s/81NT2W9D54wvlPTiU0djaHvkTxFosWlxxca3tXyj87Z6fv81SVe31gPYazWbtazg/k+QzMPzkPRUidkU8m/3ixYu59NJL+fvf/860adP485//zOuvv87WrVvJzMzkkksuITc3lwcffBDQtqY79thjeeihhzj11FN57bXXeOCBB4Lamq4v95kfPVr7wIvUPvO9ef6u6mtq6rjP/IAB2olN233mBwzQGvK2e8p3dl84Y/R3nj2ejvvM+5+zq33m09NbL0IcPNhxn/n4eG0rnfx8bZu9Awe0TriitG4/lJGhHVNSonX0/dMLc3K0LP8/+1nX+xW3jd9q1bZ+2bZNi9X/V6nXa49ZLK370rcdDfLPJvCfJJpM2kmaf/s90OKqrdWO95e3WrXXX1CgneAdzt/bzt6Hw/230x/Ieyj6Qixms/cL9m8i0PKB7jOflqbdtlq1vd27+2z11/n999rtysrWC8n+feb930ObfebbnLH5Lza322e+7WwyXfv26IQTYP167XWUl2ttXl2d1nb6L9Z3p+3e9WazfwcX7di22/WZTNrrnzABZszou88k+QwMP3lPhYgeMZHN3u/JJ5/kkUceobS0lIkTJ/KXv/yF6dOnAzBv3jwKCwt56aWXWsq/8cYb3HXXXRQVFTF8+HAefvhhTjnllICfL5wnD4qidfQaGrSR2EGDDu+Vy3A/f1f1ud3atjz79mmd2x//WDtJOLQsBHZfOGPMy9OmgNXVtd6XnKydwKxYoZ2wZGRAVpa2bZ2iaKP3ycnav7w8rb6tW7VOfU2NdjFg3DiYNUuLtagItm/XTrIaG7X7srO1ExWAb7/VTvIcDm2q2pgx2qyGzl5nV/E3NGid9tWrtW33VFWr3z8tf/t27bX4Zw0MHKhdcHA4tBOs+HitPrtd++pf29bQ0PreVFZq78WIEVod/rKH+/e2s/chEjHEOnkPRbjFcmcegv+bCLR823IWizYdef9+rbMzbZp2sbTt524gn63+OuvqtH92u/a5b7O1XhxuaNCyiNts2sXXhgatXQNt27cf/Uj7ftky7b4ZM7Tn27q18/ao7evwJzurq9MuJG/frt0eMUKLvaZGqyM1tfU16HRaG5KU1Nre2GzaBY7KSu324MHaMcnJff+ZJJ+B4SfvqRDRIaY684fb4T5ZEUIIIWJBrHfmhRBCiP4g0PZRrrUJIYQQQgghhBAxRjrzQgghhBBCCCFEjJHOvBBCCCGEEEIIEWOkMy+EEEIIIYQQQsQY6cwLIYQQQgghhBAxRjrzQgghhBBCCCFEjJHOvBBCCCGEEEIIEWOMkQ4gElRVBbT9+4QQQgih8beL/nayr0l7LIQQQnQUaHt8RHbmGxoaAMjPz49wJEIIIUT0aWhoIDk5+bA8D0h7LIQQQnSmp/ZYpx6uy+9RRFEUSkpKSExMRKfTha3e+vp68vPz2bdvH0lJSWGrN9rJ6z5yXveR+JrhyHzdR+JrBnndxcXF6HQ6cnJy0Ov7fiVeX7XHh8uR/vtyJL1uec1HxmuGI/N1y2uOvtesqioNDQ09tsdH5Mi8Xq8nLy+vz+pPSkqKyl+Kviav+8hxJL5mODJf95H4muHIfd3JycmH9XX3dXt8uBypvy9H4uuW13zkOBJft7zm6BLIDDlJgCeEEEIIIYQQQsQY6cwLIYQQQgghhBAxRjrzYWSxWLj33nuxWCyRDuWwktd95LzuI/E1w5H5uo/E1wzyuo+0191bR+r7diS+bnnNR44j8XXLa45dR2QCPCGEEEIIIYQQIpbJyLwQQgghhBBCCBFjpDMvhBBCCCGEEELEGOnMCyGEEEIIIYQQMUY680IIIYQQQgghRIyRzrwQQgghhBBCCBFjjJEOIBIURaGkpITExER0Ol2kwxFCCCGigqqqNDQ0kJOTg17f99f7pT0WQgghOgq0PT4iO/MlJSXk5+dHOgwhhBAiKu3bt4+8vLw+fx5pj4UQQoiu9dQeH5Gd+cTEREB7c5KSkiIcjRBCCBEd6uvryc/Pb2kn+5q0x0IIIURHgbbHR2Rn3j+VLykpSU4ehBBCiEMcrinv0h4LIYQQXeupPZYEeEIIIYQQQgghRIyRzrwQQgghhBBCCBFjpDMvhBBCCCGEEELEGOnMCyGEEEIIIYQQMUY680IIIYQQQgghRIyRzrwQQgghhBBCCBFjpDMvhBBCCCGEEELEmCNyn3khRBioCtiLwdsAxkSIHwS6fnJ9UFWgsQgatmvfJ46AhMLAX19/fm9EdJDfMdGf9KffZ/9r8dSBpwFMiWBKDu419af3Q4j+LsJ/rxHvzH/11Vc88sgjrFq1ioMHD/LOO+9wxhlndHvM0qVLufXWW9m0aRP5+fncddddXHbZZYclXiEEULcF9r8DdVvB5wSDFZJHQd6ZkDw60tH1Tt0W2Pl3KPsS3NXafeY0yDwWhl3T8+vrz++NiA7yOyb6k/70++x/LZXfQ+Nu8NrBGA/xQyBjemCvqT+9H0L0d1Hw9xrxy3x2u50JEybw1FNPBVR+z549nHrqqRx33HGsXbuWW265hauuuopPPvmkjyMVQgDaB9e2v0D1GrCkQ+JI7Wv1Gu3+ui2RjjB0dVtgw/2w/z3wNoI1CyxZ2gnZ/ve1x7p7ff35vRHRQX7HRH/Sn36f/a+l7Eto3AOKF0wp2lf7Hu3+nl5Tf3o/hOjvouTvNeIj8yeffDInn3xywOWfeeYZBg8ezJ/+9CcARo8ezbJly3j88cdZuHBhX4UpROgqK8HlAkUBVW3/mE4H+fmt35eXg9PZdV2DBrXerqiApqauy+bna/X7Y3A4ui6blwf65mt71dXQ2Nh5OVWB2jdxOEqptBSQ7zCic2hlK91pOBq2QcVfoPAibYrRwIFgMmnH1tV1qDfOaCXDOkD7JiuL4qZSAHKUeIwNdgBqXHU0eA6JJ30AWKza7YYGqK9v97BZbyLLNlD7JiODA55qfKqPLBIw12l11bnrqXM3tHlpPnasfYadm77C6fbh9Vih8QAer4pPUfAqTRjUT8gxFKNLnUxjnIn9phpQVQa5k0lyePDWr6XYcJDGuERgG7YmNwBukwGv0gDW5RgSxmBxOvEZDLis2muwYmFEnRkAu9XEXksdPhTyvKmk2j34DAb2JXipR4vd5nCAquIxmfCYteP0qoLV0YSi1+GMs2nvAyZGNMShV1ScFhN7rPV48JLjSyW90Yuq13MgUaUa7f2zNjnQK+3r1aESZ3eg6nQ02bR6TZgY1hiHyafiMZvZHdeACzcD1VSy6r2g01GSpKeSWgAsziYMPgWv0YjbYml5z2127WfsiI8HwIiRIXYbVq+K12Rij81OEy4GkEJunQ+AsiQzZboq7fW5XBi93nbvZdv3xxFvA3To0TPEkYDNo+IzGNib4KYRB6kkkdegQ6coVCWaOaBvX69i0OO0xrXU639/nLY4FJ0eHToGO5NIcCkoej3FiT7qaSSReAoaTeh9Pmrjzew3VqOgYnK7MXk87d5L7f1xYvD5cMXF4Wv+OxzkTCDFpQOdjv1JUE098aqVwn0bMdjLqE/JoCRuF8mWNC4+bQI5GWOgfjPs/w8kjZQpuc2/W50yGKDN70u3ZfV6iIsLrWzz72GndDpo8zsQVNmmJq096Urz31PQZZ1O8PnCU9Zma21/XC7wejuWURXYvhicFZA8Vivv9oLXCqZhULsVtr8Oo2+l0eOg2lmj/dz8bZXb3Wm9FoOZzPhM7Weh17Ovbh+q20W2JR2TQWuPap211Lf5/Mdi0X4vuqnXpDeRnZClxWAwUNJQgtfVxEBTClaDGbYvpr6ymNqmWnDZtRldJj3oTeCqBm89NOwE+99h6JUtbaNBhVy3FUxGHBteYO3WtdR4B2Cyb8Vn91HrVagxqdQ1bcBr3ITVOBqfwYCi06GqKj7Vh+J1YUCPzmTFFReHV/Vhx05eg54kfTKKwUADDmrUGuK8eiyY8BqN2OPM2NHODWyNjSgGPUrzZ4cOFYPXh1k1YTHG47TZ8KkKjTSS1QBp+lQUg4FGmqihFotHxYpZu89mpRHtbyXObkfV61rqBTB6vZgwEqez0ZSQgKIqNNDIQDukqclgNOHASRV1mD1e4rCg6vU0xttoaG4Hrc3nNIq+fb0GDCRgw5GYCECd2sAAh0KGkgxGM024qKYOvddNvKp9DjQmJlKP9vtgcTahV9SWz2J/vXr0JKk27ElJADSojSQ1+RjoTUBvisOFmyrqUL1NJKra36s9MZE6GgEVc/PnvM//ewYYfT50KiSr8dgTE0Cnp1G1E+/0keWxoTfZ8OClklp8viaSFO3zxZGQQL3OgYKC0enE7PPhbVOvobneFDVee3/1ehpVB3EuD1muOIzmBLz4qKIWl89OiqLF2xQfT73eiQ8fBrcbi9uN19jaVTQoCjpFIUmNxx2fgM9gwKE2YXK7yXZaMZkT8aFQRS1NSiOpPq1ep81GvcGNFy8GjweLy9WuXr2ioFcUElUbnrh4fCYTTaoTvddNtsOMxZSIqoNK6rAr9aT44tCjwxkXR4PRiwcPBq8Xi9PZvl5VQe9TiFfj8Fnj8ZnNuFQXis9FjsOE1ZgEOh1V1NGg1pHstWJAj8tiodGs4sKNQfFhcTThMxpQ0bXW6/Vhq9mO6qvDmzgQD8WkGhI5fd5IRg8+vO1xxDvzwVq+fDnz589vd9/ChQu55ZZbujzG5XLhcrlavq8/5MRfiD714x/Dt992/lhSktbJ9bv4Yvjf/zovazC0P8H42c/gP//p+nmdTu0EBeCWW+Bf/+q6bHU1pKZqtxctgmef7bJo+eunMGL7Z9R5Xbh2TsX8ykoAbj4LXh0P8AX88EzXz9XGj7fCf15r/mb1aoZ9MB2P4mG/6dfk/uaPANx/EjwxI6DqWszcB9++0PzNxx8zbdMVlDSUsCbjbiZe/zsAnjoGfnNCJwdbm/8BDGj/UEYjlD+6HFjOlwVw8+Xa/Z+8Difu0m7n3AoHk7qKbB+wDuLb32vxgvNv2u0t6TDmBu32K2/BhRu020ddCxsz28TYmbiOd7keAbMPKm2Qcbt232MfwyXfabdPuBg+H9pDvZ3cv/8pyG0+F9bdC+jgpu/g9o+1+y46E/41Ifh617wEE7VrOiQsArsFzt4Mi17X7lt0AvzpmODr/eSNjj+jWcXwzYvafX+bAn86Lfh6X/mw489oeCVsf1K7780xcPO5wdf72NKOP6MMO5S/qt33VcEe7vwpNPwR5k0pJGdgIsTlaSMB9mItx0MUOmztcUJC14+dcgp8+GHr9wMHdn2x89hjYenS1u8LC7WLo52ZMgVWrmz9fswY2Lu387JjxsCmTa3fT50Kmzd3XragAIqKWr+fOxd++KHzsunp2oVev5NPhi+/7Lyszdb+4sTZZ8NHH3VeFtpfbLj4Ynjzza7LNja2dv6vuQb+8Y+uy356TWvH/9FPYHHb1/Yf9ibfx7jroNHS6dEdnLAblrwMbNwIY8cy/pnx1Dpr2fZXGFHV/DTHwx/mBlaf3/hSWPcM8MUXMGsW856bzY6GIr5+EeYUa2X+bzrc0jI+tfuQGnY2f10CXz3Rcm92A5Ro41PYgNuvgG8GwduvwZlbtftfPQquPxtgG/B194G2+TEV+KCoue4zz4P/dDfrt5s/mUPrtVqh6Q/a7Z/9CJ6bTNefb/Fd3N9JvcRD4x8g3gN3HQ8Pze2mXlsX93dWrw32/BkKa+GJ6fBAd2OIXT1fZ/XGwffPwbQD2s/o1rN7UW/buq3wwVtw6g5YMgQWXBKmei3wf/+Fy9bCukyYeG03x5ib/wVSrxn++CXc/A2UJELuL7s5xtT8L5B6jXDbBnjkU/DqwXRPN8cYCfx32ACX7oKX/qN9m/prqO3k/AnQ5rB3VW+i/8ZurB5w/gEKc1IYPSTjsLbHMdeZLy0tJTMzs919mZmZ1NfX09TURFxcx5/Ggw8+yP3333+4QhSilcejnQAZjdrJiv+fn8mkjcb7KUprB/xQen3gZUEr63/c5+u+bEWFFqs/5q7Kqgr7qyoZbk3hh8Yy7E4nJpN2NdikKli8h4wsmUytr9fn6zCSY1J1qGbtU73m4G7MehN6dNjrq1GbR4YNeLF4DxlZaluv4gNv+3rNSmu9teXFGFU9Fr0Ze0NVS706Xcd6VUDVaY2GqqMDndq+sP97n6odqwBGhfaNfQCMSushXkCvgKJrX6/BF3y9BlU7Vj2kXrW5XhXQ+28EQd+mXh9gUMCn1wJtqSqE90GvgtL2NfvraFOvGkK9Otq/Zv/PyKBoz6NDe95g6+WQev0/o7b1+kKsF7X1MP/PyKBo77ce8KrN97dljIemA1oSnigVFe2x293+s7SrEXHQPg8DLev1dvyM7orP175sd6PcitK+bGej3G3ja1vW/7keSFm3u+uy0L5smwsyXZb1d+a7m20GUA8Ymi8qODu+trdHax15vQImownwtyle8HV8j03Nb2XVgZ344sGEAYtqQKe2vsdGRbuI2npQ920VaBdFAXw/OQd9dQ3mnytY0tq3Cwb1kHoD0La8rzl+i1f7+24ww1+mw4uTeq7H6NOeH7TPDrdBq8vTXK9e0WI1KK3lFB14ehg0NKjNn5lt6jV7tTbFC+iU1rqN/noBj6Hz+jqrF8DVHK8XcDZXYmh+/NDn745eBVMn9SqqVq/S/B6otJYLpF4drb8DNJc3NE+4dKJ9Jht94NOB+ZDnD6VeDq1X37FcT02LpU15j177GekVrV43zb8f+vbl3F2c/3RVr7f598fQXK8T7ffDbej4/EoP9Zp9LX/d2nkY2s/eifZ74a+3bblg6/XptH8mH7jQnsPc3HabfK3rz716rVx3TEprO2xqjrPFYWyPdaraXct0eOl0uh4T4I0YMYLLL7+cRYsWtdz30Ucfceqpp+JwODrtzHc2EpCfn09dXR1JSV0OoQkRuoMHITsbSks7TAGPafb92jogcyp7FQWXcsgJj9eufXANvhjisiITYwAa7Q7OvuRGiooPAHAL8AfgmjPhlebRZKMP5ldZWahLI3FAPGbFR5zPidGSC8OvBFv7i4o0lcPeV8GUBIZOhgz8703BBRA3sC9fnuivuvgdmzu5gLTkOHDXgbsKxv825JGA+vp6kpOT+6x9PGzt8caNXXd6DYb2Fyy7W4Kk17efkh9M2aam7qfOtz1fCaas09n9hYK2U/KDKety9Tx1PtCycXGtneMupq3jOADb/waJ6VrGdwCPr7WD7mkATx0nNR7kk6rVLBp+BZcNO6d1mr3Hg87bdQyqxRx4WbOpefabD+uGzdi+W4Xthw3YZ0yi9qJzADBWVDL47KtajlGsFjy52fgyBuBNteEYXU/DvEKo34zOZyZuixNfohHVZkQxeFBUN+8sN/PvT4rYW+OmwyI5s4nBBTaGFAxgQHICpniV9/J2UWZu/Z0bosQzJWk2hclHkWhOIcmYRLI+HpvPiFFnxNBmOq+u+f1XjEZU/9Rjnw9DNxd4FIMB1b80LpiyioKhm4tBwZRVDQYUf1lVxdDNhaOgyur1KObWoWZDNxeZgiqr06G0+TwJqqzL1e3fvS/EsnqXC1033Ttfm8+poMq63ei6+TwJqqzF0vIZofd40HXzeRJUWXPr373O40EfrrImU8tSHJ3Hg76xFPa9rmWvb26PfRYjU8bmkJeZdFjb45gbmc/KyqKsrKzdfWVlZSQlJXXakQewWCxYuhuVFCKcSkpg6FBYsADuv7/9OsNYZ8uBxCFQtxmvKaPj4+5KSBwO1ujtrKqqyv1/fLKlIz9m5FBuSE6idsua5mUCcFfWAK7PG06W2eI/CFwVoLdBwY9h7NUd10CpCmyu1BKfJI1sPwNDVbX1U2mzYMxVsp5ZhKan37Gm/ZB2tLYtTpQ6bO2xzdb9CPahZYOpN1BdnJP0uqw1kHm1IZQN5ucSTFmzWft3qLihkDEC6jaDKQHQgcmg/UMFbxVkjOXVo+/ig4NfMciW3do5BzCZWjuIPemurNdL/LIVJP33M2zfrcZgb+08K6nJ1ORkg9mMZ8RwDv79T3gG5eIZlIdvYHrr36CqwM5noW4TJKWhuiqwz0zTXpOq4nU6WPRMI+8tbb9EY+yEsVx89cVMmjqJ/IJcDHtegLrNFOszuGLNe5Q1OUg323hwzPGcFg9Z2bNgzK+lDREi0lQFNjc0t8djItoex1xnfubMmXx0yJquTz/9lJkzZ0YoIiEO8cAD2mhIaWlwJ36xQKdHzZyP6ijBZy8Cc7q2DYfPqXXkTUmQPjOqTzTe+eBT3vvv5wDEx9t44qHfoGZm8vev/oLi/IQZSQP4XVYS+CrBmwrowFOtfXCnToX8szp/fTq9thWJfZ/WcY/L06ZZee3ah7olHfLOiOr3RkQ5+R0T/YlOD1kLoOkgNO7Udg4xxoG3CVylYE6FrPmkWdM4OXsuNe66nusMNgS3m8Izr8BU3trJ9iUn4Zg9Dcdxc3AcOwtSUloeazj7tE5qOeS1eOygM4KrCvQW3C4Xtz5RwacrtMRtOp2O4086niuuu4LJMya3jKADLXV46vbQ4HFRGJfMp9PPZJi+Uf6+hYgmUdQeR7wz39jYyM6dO1u+37NnD2vXriUtLY1BgwaxaNEiDhw4wMsvvwzAz3/+c5588kluv/12rrjiCj7//HNef/11PmybzCbKrFq1iqeffpqvvvqKkpISFEUhJyeHWbNmcckll7BgwYJIhyjCZe/e1uRxN97Y/kpdP3HM93dTYi/h91mTmOJt0KYR6c3aiHz6zKgeFdy1p5jfPqxtgzkZuHDRjQwaPw4lOZnXV+8FJ1w65Qaw1WrbCLmaZwGZ0yBzHgz7Wff7hiaPhpE3te452nRAu9iRdrT2oS57BIvekt+xkBTt38/gE9pnvIyzWklJTGT00KHMPvpoLj3zTIYOit7Pr34pcSgMvgRKP4WG3dpnrt6iZbfPmq89Dti93SxvCIbXR9z6zTQdfRQAqtmMa+xIdIpC/Tk/ovGs03BOGNua2T7U11KzDhz7aLLXc+PjtXy9VovfZDby5+efYP4p87utY2jpp/zHaGOk1UqWyQfJ8vctRNSJkvY44mvmly5dynHHHdfh/ksvvZSXXnqJyy67jKKiIpa2ySa7dOlSfvGLX7B582by8vK4++67ueyyywJ+zr5eE+inKAq33XYbjz/+OEajkeOPP55x48ZhMpnYvXs3S5Ysoaamht/+9rfcfffdfRaHOIyuugpeeAHmzNG+9kOZb8+i3FXFO7P/yhhLIviawBCnTa2P4hEDp9PFTy67me27ihgNbNDpcI8fzf73/sXWpn2c/trpmPQmSm8rJc2aAo1F0LBdOzhxhLbmKdDXpypaBlNvg7aeKn5QVL83Igb10e/Y4Wof+/z5du9uN83e35kfOmgQF51+OgAut5vyqipWbNjAxu3bMRgM3H7VVfzhF79oP1oq+p6qgKMEfHYwxGtLunR6Ll7+K4YnFLAw+xhSzaH/fujsDlLe+pCU19/DVFbBnrdfxDNqOCQlYWiw40tN1hLVhvG12Osq+PlV97NihbbXtDXOylMvP8Wc4+Z0fpiqYvfYSTQnkhU/kERvjbQhQsSCCLfHER+ZnzdvHt1dT3jppZc6PWbNmjV9GFV43HXXXTz++ONMnDiRN998k6FDh7Z7vKmpiSeffJKqqqoIRSjCaudO8P++3nBDREPpKw5vE+Uu7fc1x5YF5sQejoge/37rA7bvKgLgmTgrhiYnvqxM1Hgb7617D4CThp1EWlyadkDiEO1fKHT6qN0aTPQT8jsWkmGDBnHfjTd2uH/ZDz9w8e238+Df/45Br+d33Wx3K/qATg/xee3uKraX8ErRexh0Bk7JOTa0en0+kt7/H+l/exljdQ0A3rRUzHYnnoFabhdfMHkFAtH8Wh6+97mWjnx8QjzP/vtZpsyc0uVh3x34jus/vJ6fTf4Zjy18DEgOb1xCiL4R4fY44p35/mrnzp08/PDDDBgwgI8//rjDdnoAcXFx/OpXv2qX2VfEsAce0LL7Hn88TApgH5kYVOwoASDBaCPZ1NOGntFl2XerATgZmNvkRDUaqfidtivGlZOuJD8pn7kFQW48LIToF+ZMmcLHzz/PhB//mIeff56fnXce+dnZkQ7riJZkSuCZqfezsXY7SSG0N7bvV5Px52ex7CKUVNwAAMJ+SURBVCwCwF2QR/Wt19Jw9o9QrX2bhHHz+s0s/sdiLY54Gy+9/RLjjx7f7TGf7PwEu8eOwxOmJQVCiCOCdOb7yEsvvYTP5+Oaa67ptCPflmTa7ydWrdK+/uQnkY2jDxU1ahng82xZMTUN1ev1sXr9ZozAEwY9+BRqrroIz5ACANLi0rhu6nWk29IjG6gQImJGDhnCuSefzD/ffZf/LFnCjRdfHOmQjmgp5iSuGfZTdjbsRVG72V6vE8ayCnJuux+904UvKZGq266n9qoLO8+qH2aqqvL7O3/fMuv0ul9e12NHHuDeY+/llOGnMDt/dl+HKIToR6Qz30e++eYbAI4//vgIRyIOm3fegcpKCHSrnBi0t3lkPifG9knfsn0XDkcTNwHDfQretFSqb2+/FCLJ0vfrg4UQ0W3etGn88913WblhQ6RDEUCT1xl0Rx7Am5lB2f23Y92xh6rbb0BJS+2D6Dr30Tsfseo77eJ+4ZBCLr3m0oCO0+l0nDX6LGymfrYLjhCiT0lnvo+UlpYCkJeX10NJ0W8MGQKZmXDgQKQj6TN77c2d+SjeR74zP6zZQBJwX/P3VXfegpKUSJOnies/up6Th53M7bNvj2CEQohokNO8jrqypibCkRzZNtZu58vylcxIn0CiMT6gYxI/+QJPZgbOieMgOZmGKy6k4TDPIHPYHfzx3j+2fH/nH+7EbOl+NkCjuxGDzkCKNUU68kKIoElqTCHCKbKbQ/S5Irt2oSI7LiPCkQRn5ZqNFAIHgMacTOou1pZCfL7nc77Z9w3Prn4Wo16ubQohRDRYXPwRN6z6Lb/d+FTPhRWFjMf/TvZdfyRn0QMYDCZIS4vI1rB/f+LvlB3UtjSdt2Aexy7oOXHfS2tfYt5L83hv+3t9HZ4Qoh+Ss9c+kpWVxdatWzlw4AAjR46MdDjicPjTn6CqCk4+WRuh74f2Nnfmc22x8/oURWHV2k3UAnOSEvj+q/fQNe8hPC13GrfPup2ClIKYygEghOgbJeXlAGSkpUU4kiPbxwe/BmDmgIndF/T5yHzwryS/+zEAdRf9BF9uZBIX7ivax4tPvQiAyWRi0e8X9XiM0+vkXxv+Ra2rlgxbbF0kF0JEBxmZ7yOzZ2sJTD777LMIRyIOm8cegwcf1Dr0/ZR/ZD43LnY687v2FFNbVw/A5KPHo0tJaXksIz6Dm6bfxHVTr4tQdEKIaLJ0xQoAph51VIQjOXJVuqpZVb0JgDkZk7su6PWR9dvHSH73Y1S9noN/fZCqu26F5ou1h9sTDz2B2+UG4LJrL6NwaGGPx7y37T2qm6rJS8rjnDHn9HGEQoj+SDrzfeSyyy7DYDDw7LPPUlFR0W1Z2Zqun/B6ta8ROpHoay6fm4NN2u9yLHXmV67ZSDxgAaZO73hiaDWGeY9hIURM2r5nD6//979YzGbOXLAg0uEcsT4r/Q4VlTFJQxloHdB5Ia+X7Lv/SNJHn6Ea9Bx85hEazj/r8AbaRk11DR+/p80OSB2Qys9/8fOAjntt42sA3Dz9ZlnqJYQIiXTm+8iwYcO4/fbbqays5OSTT2bPnj0dyjidTh577DHuu+++wx+gCD9/Z97YPxvkfY6DqKjEGSykmZMjHU7AflizgSuAauDS3Xtb7q+wV/D+tvdZfXB1xGITQkSHb1atYuGVV+Jyu7njZz8jt58ulYoFOxu1z+kxycO6LDPwT8+QuOQrVKORg8//mcazTjtc4XXqg7c+wOP2AHDGuWeQkJjQ4zGN7ka2VG4B4IKjLujT+IQQ/Vf/7HVEid///vc4nU4ef/xxRo4cyfHHH8+4ceMwmUzs2bOHJUuWUFVVxe9///tIhyrCoZ935v2Z7HPjYmePeVVV+WHtJq4FbEDaqGHUNT+2sXwjt316GxOzJrJm6JoIRimEOFx2Fhdz31//CoDb46G8qooV69ezYft2DAYDd117LffecEMPtYi+VOnSdhJINXe9XWjltZei8yk0nnM69oXHHa7QOqWqKm/+682W78++8OyAjttQvgFFVchLyiMnMaevwhNC9HP9s9cRJfR6PY899hgXXHABf/vb3/jqq6/46quvUBSF7OxsFi5cyOWXX878+fMjHaoIh34+zX58ykjenPMXKpzVkQ4lYPsPlFJTXsm85u+b5rdmFq5waEsGshMikyxJCHH47Sou5v4nnwQgzmolJTGRUUOGcPd113HpmWcydNCgCEco/G1MqqnrGWBKagplzzwaFe3tpnWb2LpxKwATJk9g+KjhAR23tnQtADPyZvRVaEKII4B05g+DKVOm8MILL0Q6DNHX+vnIfIY1jbPzF7K7cR9exRvpcAKycs0GZgHxQL0tDveY1p0lyu1a1ursROnMC9HfFebloW7bFukwRAAqmkfm0yyHdOYVhfhvV2KfPQ0GpEVFRx7grVffarl9zoWBJ7FbV7oOgFl5s8IekxDiyCFr5oUIl34+Mg/adMJY6ciDlvxuYfPtyqmT2u077B+Zz03MjUBkQgghOlPh0kbmD83NkvzmB+T+4l6y73kEbPGRCK0DZ5OT9998H4A4WxynnHlKQMepqtoyMj8rXzrzQojQ9c8hRCEiYcUKqKmBNluf9SevF3+EDh2DbDndrmWMJqvWbuQ3zbdNZ51G28sQFXaZZi+EENHG35lPbdOZN+0/SMZftRmOTXNntrswG0mffvgpDfUNAJx0+kkBJb4D2Fu3lxpnDWaDmYlZE/swQiFEfycj80KEy+TJcPTRYDJFOpI+cfvaRzn3m1vY07g/0qEEpKyiCse+Eo5u/t694Nh2j7esmZdp9kIIERVUVW1dM+/vzCsKmb97DL3ThWPGZGqvuiiCEbbXNvFdMFPs/aPyE7MmYjFawh2WEOIIIiPzQogeqarK7PRJZFhSybPFxpZNq9ZsxAfcBpw+diRZA9PbPe4fmZcswkIIER3sXgcuxQ20TrNP+HI5ttUbUOLiKHvyj6CPjnGofXv38d3X3wFQOKSQyTMmB3ysTLEXQoSLdOaFCAeXCx5/XPv6k5/0uyR4Op2Of836E1WuGqpctZEOJyAr12ygGvgTMPquW8lq85iqqlQ6KgGZZi+EENHC4XMyY8BEatx12AxWAFL+/R8Aaq6+CE9hfgSja+/tV99uuX32hWcHtWWr3WPHqDdK8jshRK/1rx6HEJHicMCiRdrtcwKfahdrPDGU/G7bzj0ttydObz9iUuOswaN4AMhMiI2ZBkII0d8NtA5g+YmLKW2qoN7TiGXrDmxrNqAaDdRdfXGkw2uhqirvvv4uoG1D/ONzfxzU8Y8seITHTnyM3CRJwCqE6B3pzAsRDt42ndx+mM3e6XNh1ptiqjOvKz7ARcCq1GQSkxLbPeafYj8gbgBmgzkC0QkhhOiKT1UA0DldOEcMxT16BN7s6Lnwun3Ldg7sOwDAzLkzyQwhtgG2AViN1nCHJoQ4wkTHwiMhYp2/M6/XR816vnB6ZMvzWF8fz+83/S3SoQTE5XIzpbqWfwLPe30dHvcnv8tKyOrwmBBCiMjyqdrntnPiOIrfeI6yvzwQ4YjaW/q/pS23j1t4XFDHqqoKIB15IURY9L9ehxCR4NGmbPe3tfJ+RfYDeBQPlhgZxT5wsIyj/LezBnZ4vGVbOslkL4QQUeOv2//JoHfn8fCW51rvTE5GjbdFLKbOLP10acvteQvmBXXszR/fzNmvn823xd+GNyghxBFJOvNChIN/ZL4fTrEH2GsvASAvLnqmOXZn34FSxjXfbhxa2OFxp8+JzWST5HdCCBFF9jtK2ec4iN1lJ/n199A7XRAfH+mw2qmprmHtyrUADBk+hPwgkvKpqsrKkpVsLN9InCmujyIUQhxJ+ucwohCHm78z309H5v2d+Zy4jqPc0Wj/gYOc3XzbO250h8fPH3c+5487n8Epgw9vYEIIIbr0y1FXcFbeiSif/JfMR54m5T8fs/fbjyIdVjtff/Y1iqKt6Z934rygj3/zJ2+yo3oHk7InhTkyIcSRqH/2PIQ43PpxZ15RFYodsdWZb9xVRBrgBaxTJnRaxqAzYDKYDmtcQgghujbQOoA0UxLef98BQP1Pz4Qgtnw7HL789MuW28FOsdfpdOQm5TI1d6qsmRdChEX/63kIEQkFBfDll1BdHelIwq60qQK34sGgM5BlzYh0OAGx7toLwA4gZ9iQTssY9P1zSYQQQsQyZeUKrDt2o8RZqbvk3EiH047X6+Xrz78GIDEpkaOnHx1SPdKRF0KEi6yZFyIc4uNh7lyYPj3SkYRdkV3bfifLmo4xRjrAySWlAGwCsnI7Zqy/9sNrufK9K9lZvfMwRyaEEKIrj2x5nidW/pUKGzT8+GSU1JRIh9TO2h/WUldbB8Cc4+ZgMgU3u+uhZQ/xwuoXqG7qfxf+hRCRISPzQohutSS/s8XONm4vOJr4DtAPTOeBQ062VFXl233f4vQ60RFd0zeFEOJI9vtNf6M+vZHT4yAxhPXofa3tlnTBrpd3+9y8vO5lfKqP66ddH97AhBBHLOnMCxEOJSXw1lvaHvMLFkQ6mrAqdVYCMNCSFuFIAlNX38B2u4PtwPQRQzs8rqLyxElPYPfYyU3KPfwBCiGE6MDlc1PvaQQg3QE1x8yIcEQd+dfL63Q65p4wN6hjSxpK8Kk+bCYb+UmBZ8AXQojuSGdeiHDYtQtuugmGDu13nflKVw0AKeakCEcSmP3NU+wB8gs6njDpdXrmFc4jw5Yh6xaFECJK+NsagwJxw0dTFWVT7A/sO8D2LdsBGH/0eNLSg7vAva9uHwAFyQXooiypnxAidklnXohw6MfZ7Kvc2glWsikhwpEEpmbrTu4A1gB5BXldljPq+9/PSgghYpW/M59mSaH8iQcjHE1HSz9d2nI7lC3p9jfsB2BIaudJWYUQIhSSAE+IcPB35g2xkSAuGFWuWgBSzcmRDSRAxrWbeBD4A5A3qGNnfmf1Tv6z9T9sKN9w2GMTQgjRuQqXlhRugG0A7qNGRziajr78X+hb0gHsr5fOvBAi/KQzL0Q49OPOfMs0e1NihCMJTNyeYgA20PnI/JdFX/LrJb/mL9//5TBHJoQQoisVTq0zn2aNvvwsziYn3y37DoCBWQMZHcLFBv80e+nMCyHCSeaZChEO/Xia/Z8m3cGOhr1kW9MjHUpABpRVALAROKuTNfMVDu3x3ERJfieEENGi4ttPQQcZNa5Ih9LBmpVrcDm1uI454ZiQ1rzLyLwQoi/0v56HEJHQj0fmj04by4jEQkqayiMdSkDy6xsA2GExMyBjQIfHK+xaZz4nMeewxiWEEKJrFcVboAAGuKJv0uh3X3/XcnvmMTNDquNA/QEABqcMDktMQggBMs1eiPDoxyPzAD5ViXQIAVGdLgZ7tJ9FdW5Op6Mn5Q7tokR2YvZhjU0IIUQXPB4qarTObmLBiAgH09H3y75vuT19zvSgj29wNVDbnH9mcKp05oUQ4dM/ex5CHG5z5sBHH0FTU6QjCSunz8Xzu97AojdxTMYU9Lrovv7XuG4TRqAGMA0t7LSMf2Q+O0E680IIERXWr6fCrF2ITY6yznxjQyPrV68HYMjwIQzMGhh0Hf4p9gPiBpBgjo2dYYQQsUE680KEQ3a29m/vXnBF33q/UJU5K7lx1e+w6M2sO+ndSIfTI9eajYC2Xj6vsON6eWhdMy8j80IIESWWL6fSpt1MtXVcHhVJq75fhc/nA0IblYfWzrxMsRdChJt05oUIJ1WNdARhpUfPOfkLcfrcISX8Ody+zcnkGsAKLOhkW7omTxON7kZARuaFECJqfPstFTO0m2lx0ZXNvu0U+xnHzAipjn31WiZ7mWIvhAg36cwLEQ5btsDy5RAXB5MnRzqasMmPz+aNOX+hxFFGo9cR6XB6VFxWwcbm25d3si2df1Q+zhhHkiXpMEYmhBCiU42NsG4dQ0eAe0gBGbaMSEfUTtvkd9NmTwupjpzEHI4rPI7Z+bPDFZYQQgDSmRciPJYuheuug5NO6ledeb9YSYC3/0Bpy+3O9pgvt2vJ7zITMmNipoEQQvR7dXUwdy7vb6qk9sUvWz6no0FdbR1bNmwBYOTYkaQNCG3WwEnDTuLU4acyNG1oOMMTQgjpzAsRFv10azq3z41Rb8Sn+iIdSo90dgeXLV9FAfAEkNfJNPuW9fIyxV4IIaJDbi787W9QUIDP1xjpaNpZ+e1KFEW7mB3qenk/k8EUjpCEEKKd6E5NLUSs6Kdb0z2w+e+YFo/l95v+FulQemTZvZfTq2u4DUhOSyEhsWPG4JZM9pL8TgghoofBABZL1F04/v6bNlvSzQ6tM6+qKtVN1Rh1/ev8QAgRHaQzL0Q49NOR+SpXLYqqYNJH/0mIYdsuQMtkn1/QRSb75s58TkLO4QpLCCFEd2pq+LZ2A/mP53PpO5dGOpp2/Mnv9Hp9yOvlKxwVzHxhJmP/NhafEl0XK4QQsS/6z9CFiAX9tDNf6aoBINWcHOFIeubdtA2ATXQ+xR5ARSXBnEBOonTmhRAi4mprYcYMDk5PZP/JDVG1BKq6spptze3K6KNGk5QcWtLUgw0HAUg0J2LQ969zBCFE5ElnXohw6Ked+Sp3LQAppsTIBhIAXVExANvpPPkdwG2zbmPRnEUUpBQcxsiEEEJ0audOAOaXJ7Liqs8oayyLcECtVny7ouV2qFvSwf+zd9/xUZVZA8d/M5NMeu8JgRB674SqoCg2FPvaEOwKroqugnUVO+raUNaCvb/WtaACoii9Su8hAZKQ3pOp7x83M0lIYZIpdyac7+eTzeTOnXtPsjh3zj3Pcx4YlDiILbdsIUAX4IqwhBCiERlmL4QrdNRkvrYEgCi99y/jFpSjdEDeR8vD7AF0Wh1ajbz1CSGE6vYr06MiuvdjRMoI+sb3VTmgeg2XpHO2+V2gXyDpUenOhiSEEE1IZV4IV7j8chg4sMMl8z4zzN5sJrK4FFCS+ataqMwD+PnA/H8hhDgp1FXm6dcPwKvmlNvmy+t0OoZlOLfkrAaNdLMXQriFlKeEcIW+feHii5XvHYivDLP3yy/E32LBAGTT/Jx5o9nIhZ9dyLSvp1FpqPR4jEIIIY5Tl8x/kl7J/L/ms6dwj8oBKY7lHuPA3gMADBw6sNnVURz11IqneGDZA2w7ts1V4QkhhJ1XJPMLFiwgLS2NwMBAMjIyWLt2bav7v/jii/Tq1YugoCBSU1O56667qKmp8VC0Qpwcasy1VJqqAIj08mH2psR4Mnp2YzCAVktSp6ZNlAqqCtiRv4PfD/1OkH+Qp0MUQghxvLpk/m02ce+Se9mev13lgBRr/6r/HOrsEPtfDvzCFzu+oKy2zNmwhBCiCdXHm3722WfMnj2bhQsXkpGRwYsvvsjkyZPZvXs38fHxTfb/+OOPmTNnDosWLWLMmDHs2bOH6dOno9FoeOGFF1T4DYQA1q9XPpSEhUGPHmpH4xK2+fI6jY4wvxB1g3HA3mMFFANJSQno9fomz4cFhPHaua8R4h8ic+aFEEJtZWVwTOl1UqBVCjLRQdFqRmS3btU6++P2LkkHYDAbyK3IBZA580IIt1D9E+0LL7zAjTfeyIwZM+jbty8LFy4kODiYRYsWNbv/ypUrGTt2LFdeeSVpaWmceeaZXHHFFSes5gvhVosWwRVXwM8/qx2JyxTa58uHo9FoVI6mdTU1tRSXKHPmm6vKA4TqQzm96+lc1OciT4YmhBCiOUYjXHMNTJ1Kfm0R4EXJ/EolmdfpdAwePrjdx8kpz8FitRDkF0RCSIKLohNCiHqqJvMGg4ENGzYwadIk+zatVsukSZNYtWpVs68ZM2YMGzZssCfvBw4c4Mcff+Scc85p8Ty1tbWUlZU1+hLCpTpgN3t78zt/7x5iDxD86iIWAIOBxKTEVvfV4N03JoToyOR6LOxiYuDBB7F++CH5lfmAdyTzhfmF7N+jdNnvP7g/IaHtH5l2uOwwAJ0jOnv9TXEhhG9SNZkvKCjAbDaTkND4bmVCQgK5ubnNvubKK6/kscceY9y4cfj7+9OtWzcmTJjA/fff3+J5nnrqKSIiIuxfqaktL1slRLt0wGTe1vwuKsDLO9kDMX+u4TYgAUhMaT6ZzyrN4tvd37L68OpmnxdCuJ9cj8XxyqjFaDECEBUYpXI0sGHNBvvj4aOHO3UsWzIvQ+yFEO6i+jD7tlq+fDlPPvkkr732Ghs3buSrr77ihx9+YN68eS2+Zu7cuZSWltq/srOzPRixOCnYknk/1dtQuIytMu/tneyxWgnNKwCUZemSUpofZr/myBru/fVenl/1vAeDE0I0JNdjYbd/P1RV2YfYB/sFe0Vz0rUr66dtjhzT/vnyANllyr9vSeaFEO6iauYRGxuLTqcjLy+v0fa8vDwSE5uvrj300ENcc8013HDDDQAMGDCAyspKbrrpJh544AG02qb3JwICAggICHD9LyCETQeszJ+bPIFvxydQY65VO5RW6QqK8DeZMAGHgMTk5t87qoxKZ/5QffuXGBJCOEeux8LuuusgN5eCxW8BEB2s/hB7gPWr1gOg0WgYmjHUqWNJZV4I4W6qVub1ej3Dhg1j6dKl9m0Wi4WlS5cyevToZl9TVVXVJGHX1SVQVqvVfcEK0ZoOWJnvHJLM+Z1OZ0h0X7VDaZU++yigJPImTpzMhwd4fw8AIYTo0CoqoG46ZX5sMAAxQTFqRgRAaUkpu7btAqB3/96ERzh3vZBkXgjhbqpnHrNnz+baa69l+PDhjBw5khdffJHKykpmzJgBwLRp00hJSeGpp54CYMqUKbzwwgsMGTKEjIwM9u3bx0MPPcSUKVPsSb0QHtcBK/MAFqvF62+S+R9Wkvl9dT+3mMwbpDIvhBBeYb/SYI7ERPK11QBEBak/X37jmo32a96IMSOcPp4tme8a2dXpYwkhRHNUT+Yvv/xy8vPzefjhh8nNzWXw4MEsXrzY3hQvKyurUSX+wQcfRKPR8OCDD3LkyBHi4uKYMmUKTzzxhFq/ghBwxx1w7rmQkqJ2JC7z3eGlFBvK6BqSQmJQnNrhtMg/uz6Z9/f3JzY+ttn9Ko2VAITpvbwHgBBCdHT76m6/9u5d38k+UP1h9g3ny48Y7VwyX2GooLhG6T3TNUqSeSGEe6iezAPMmjWLWbNmNfvc8uXLG/3s5+fHI488wiOPPOKByIRw0KmnwujRkJmpdiQu88SOhawt/JsFwx7x6mTer1D5sLQPiE+Kb7ZvBsiceSGE8Bq2ZL5fP/KrlGQ+IlD9lVNs8+UBho9yrpP9kbIjgNKhX6Z3CSHcxee62Qvhtbx8OHpbjYoZxKnxI0n24kQeIPPe24gA3qblIfZQn8yHBUhlXgghVGVL5gcMoKBKWY1E7TXmKysq2b5lOwDde3UnOta5eGw3KZLDkp2OTQghWuIVlXkhfN5ff8GxYxAXB/HxakfjEi8Ne5ByYwU51flqh9Kq3LwCyuoeJyU3vywd1A+zl8q8EEKozDZnvm9f4mv20yumFwmhCaqGtGndJsxmM+Ca+fKxwbFcNeAqaX4nhHArSeaFcIW5c2HFCnj5ZZg8We1oXMZstagdwgnl5tXfbEhIbvnDYKVBknkhhFCd1QozZsChQ9CvH89Gj2fexHkcKj2kaljrVq2zP3Z2vjxA79jePHzqw9L8TgjhVpLMC+EKHaybvaUuiTdbzSpH0rqA3fsZ/5//8gjwKJCU0nJlXubMCyGEF9Bo4JprlJFsUUoHe2+41qxbWZ/MDx/t3Hz5hnTajvG5QAjhnWTOvBCu0MHWmd9ddhD/z/ox8udL1Q6lVfr9B0nfl8kpdT87ksxLN3shhPACAQH2h2aLusl8TXUNf2/8G4AuXbuQkOT8kP+8ijyKq4udPo4QQrRGknkhXKGDVeYLaovrqvPe3dRPfzgHqF9jvrUPYFKZF0IIL7Bjh/JlNmOxWujyYhdGvz2akpoS1ULasmELRoMRcM18eYD7l93PqLdH8f6W911yPCGEaI4k80K4QgerzBcaSgCI1Hv3cjoN15iH1ivzWo0WrUYrybwQQqjp5Zfhwgvhgw8oqSkhqzSL7fnbCfYPVi2khkPsXZXM15pqAUgIUbexnxCiY+sYmYcQautglfnCWmVoYJS3J/MNKvP+/v6tLiX053V/EhkQSVyIdy+1J4QQHVpWlvK9Z0/C9GGsu3EdB4sPotfpVQtp7cq19seuSuY/vOhD/LX+dArv5JLjCSFEcySZF8IVOlgyX1CXzEf4e3cyr29QmU9ITkCrbX2wkVarRaPReCAyIYQQzcqvW4EkJQV/nT/Dk4fTKbwTZbVlrb/OTQy1Bjav36yE1DmFlNQUlx072D8Yf52/y44nhBDHk2ReCFd49FHIzYXOndWOxCUKa0sAiPTiZnHasnJ0pcqHv/1Av1bWmLe/RiMzi4QQQjXV1VBWl7QnJ9s3q9kA7++Nf1NbowyJHzlmpEuPLZ3shRDuJsm8EK5wxRVQXg45OWpH4hL2OfP+3pvM+xUWYwgNobCikipaX2P+aPlRHlr2EJ0iOvHJxZ94LkghhBD1bFX5oCAID2djzkaWHlhKYmgiGZ0yVAnJHUPss0qz+Pfyf9Mrthdvn/+2S44phBDNkTKVEKIJ2zB7b26AZ+jamY+ffoAedT+31vyuqLqIP7P/ZMWhFZ4JTgghRFPHjinfExNBo+H3zN+5d8m9fL7jc9VCWvtXfTI/cqxrKvNHy4/yV/Zfcs0RQridVOaFcIXly6GiAjp1gmD1OvK6in2YvZfPmc/JK6Cy7nFicmKL+yWHJfPMpGeIDY71TGBCCCGasiXzdUPsC6sLAYgMiFQlHIPBwKZ1mwDlhnCnzq5pVldYpfxe0sleCOFukswL4QoXXgglJfDjj9Ctm9rROM02zN7bu9nn5hfYH7eWzEcHRTO191TpKiyEEGrq1QvuvVf5Tn3SGxEYoUo42zZvo6a6BlCq8q5qkGq7SZEQKsm8EMK9JJkXwhU62DrzvjDMPvHBZ7h28zZWAJtofZi9jTTAE0IIFXXrpnx17w7UJ71RgVGqhNNwiL2r5stD/U2KxNCWbzILIYQryCdbIVyhAyXzFquFIkMp4N0N8ILXbmRoXr7959Yq81mlWSw7uIxteds8EZoQQoiWaDRQt4yofZh9YKQqoaxbuc7+OGOs6xrwFVQro8ZkmL0Qwt0kmRfCFTpQMl9qLMditQDeW5nXlpXjV6zccNgD+Ov9iY6NbnH/ZQeXcesPt/Lcquc8FKEQQogmNm2CnTuhUul2UlClJL1qJPNGo5GNazcCkJCUQGpaqsuObZ8zL8PshRBu5vuZhxBqs1rrk3md768pG6QL5LtTXierMge91l/tcJqlP3QYgCMaDZVWK6nJia3OdawyVgEQHuCdNyeEEOKkcP/9cOAALF0Kp51mT3rVSOa3b9lOVaVybXDlfHloMGdeKvNCCDeTZF4IZ1ks9Y87QDIfqAtgSspp5FbnU2asUDucZvlnHQFgt9UKQFJy6/PlK41KFShUH+rewIQQQrTMts788d3sgyI9HkqjJenGuGZJOhupzAshPEWG2QvhLFtVHjrEMHsbs9Vy4p1UYqvM7677OTGl9SZDtsp8mN57ewAIIUSHVlUF5eXK46QkqoxV1JiUTvJqNMBbu9I9ze+sVqt9+oBU5oUQ7tZxMg8h1KLVwgsvQFkZBASoHY3TdpTuY2PRdiL14fQMS1M7nGbps5Rkfk/dz601vwOoMijJvFTmhRBCJbaqfHAwhIdTWKa8j/tp/QjxD/FoKCaTiQ2rNwAQlxBHWrc0lx270lhJrbkWgPiQeJcdVwghmiOVeSGc5e8Pd90Fs2aBXq92NE776egfXLP6Xt7c/7naobTI6udPTYDe4cq8bZh9WIBU5oUQQhW2ZD4xETSaRsvSuXK+uiN2/L2jfr78GBfPl68bYh/iH0KI3rM3KYQQJx9J5oVwlbr5274uJTiB0xNG0zs8Xe1QWpT7+H3ce/1VLK77OTHJsWH2UpkXQgiVHDumfLfNl69LeqOCVBhi33C+/FjXzpe3LUsXFxLn0uMKIURzZJi9EM4yGGD9eqiogLQ0taNx2j+6nMvlnc9hb3mm2qG0Kie/ANvtk6SU1hvgSTIvhBAqsyXzScr7tUajoXdsb1LDXbcknKPW/LXG/njEWNfNlwdlpME1A68hOSzZpccVQojmSDIvhLMKCmDsWKX53fbtakfjEhYvbn5nk5tXYH98wmH2BulmL4QQqho5Eu67D0aNAuC0rqexc+ZODpUcss8x9wSj0cj6VesBiIuPI727a0ehpUel8+ApD9IlootLjyuEEM2RZF4IZ9m62XegTvYWvDeZj/jqB6I+/poLKqv4EwgIDCAquvVhmvY589LNXggh1NG3L/TvD927N9pstpo9Gsa2zdvs8+Uzxme4bb6+Tuv7S9UKIbyfzJkXwllGo/K9A6wxDzBp2XQSvh7DsrzVaofSLP2BQ+gPHUZXpixxlJiUeMIPYzLMXgghvEAz10mzxbPJ/OoV9de2UeNHufz4xyqPUVhViAbPNvUTQpycJJkXwlkdrDJfZCil2FCGTuOdbw+2Nea3GZSbKAnJJ17HV5J5IYRQ2apVylS0GmVt+bsW38XA1wfyvz3/82gYa/6sny8/apzrk/l5v89jzKIxvL7+dZcfWwghjtcxsg8h1GRL5jtIZb68bkh6iF+wypE0z5bM25al69S5U6v7mywm+3xMSeaFEEIls2YpjWJ37oTevdlTtIetx7ZSbar2WAi1NbVsXLsRgJTUFDp1af360a5z1F1vEkJOfKNZCCGcJcm8EM7qYJX5clNdszgvTOY1NbX45SprFe+p29a5a+dWX+On9WPnzJ0E+gUSHRTt5giFEEI0UVWlJPJgX5ru+TOf57bhtxEW4LleJpvXb6a2Rkm23TVf/o0pb+Cv9adTuOtvFAghxPE6RvYhhJo6bGU+SOVImvI/fBSN1UpVQAD5tcoHsi5dT9wxWKvREhEQ4bZGR0IIIVqRr9yEJSQEwpTkvXdsbzpHdOZw2WGPhdFovrwbhtjbBPoF4q/zd9vxhRDCRpJ5IZyVlATz5oHZs0183MFsMVNlVoY8hui8L5nXZx0B4EhIMNQl86lpjq1RLIm8EEKoxLbGfGIiNHgv9nTzu4bry7uj+Z2Nn1Y+XgshPEPebYRwVnIyPPggHD1aP4zQR9mG2IN3zpm3arXU9OrG1pIy+7YTDbPPLMnkxdUv0iOmBy+d9ZK7QxRCCHE8WzKflAQoSfzzq54n0C+Q07qehl6nd3sIVZVVbFm/BYC0bmkkJLl+TnteRR73LbmPrlFd+eiij1x+fCGEOJ4k80K4itWqdgROsw2x99f4odd63xDBygljqJw4llkXTAcgMjqSiMiIVl+TW5HLT/t+4mDJQQ9EKIQQoglbMl83X764ppj7ltwHwLZbt3kkhA1rNmCqmxbnrqp8XmUeqw6vIqs0yy3HF0KI40kyL4SzysvhwAHle3y82tE4pWHzO28dll5jMpNzJAeAzmmtV+UBukR04cHxD9IpQpoRCSGEKmzJfEoKAIVVhQCE6cM8Nre84Xz5jHEZbjmH7feKD/HtzwJCCN8hybwQzlq1CiZPhn794Kuv1I7GKd6+LB0WC4fzCuw/nmiIPUBSWBLXDLqGzhEn3lcIIYQbnHEGJCTAmWcCUFitJL1RQVEeC6Hh+vIZY92TzBdUK9cnWZZOCOEpkswL4awO1M2+zKjM+ffGTvbakjLSz72KmLgY/AATjnWyt9HgnSMNhBCiwxs6FEaNgrQ0oL6CHRXomWS+rLSM7Vu2A9Czb09i4mLccp6iqiIA4kOlMi+E8AxJ5oVwVgdaZ942zD7MP0TlSJrSZx1GazCiK6+k7i/uUGU+uyybvIo8NGjoEdPDvUEKIYRoXoMb3rbKfGRgpEdOvW7lOiwWC+DeLva2ynxiSKLbziGEEA1p1Q5ACJ/XgSrztmH2wd64LN0hZS3i7JD6KQCOJPPf7vqWq766iudWPue22IQQQrTit99g+3b79dJWmY8IbL2Bqat4Yog91P9eiaGSzAshPMP3S4lCqK0DJfPj4obxbsbTWK0WtUNpwr9ujfm92vrh8o4Ms68yVgEQqg91T2BCCCFaVlkJt9yiPC4rg7Awe2U+IsAzyfyqFasA0Gq1jBw70m3nKaiqmzMfKnPmhRCeIcm8EM7qQMPsu4V1pltYZw5UZGOymE78Ag+yVea3VNcCEBwSTHRs9AlfV1k32iAsIMx9wQkhhGhefr7yPTQUwpT3YVsF2xPD7AvzC9mzYw8AfQf2JTwi3G3nKqqumzMv3eyFEB4iw+yFcFYHqszbWLywMq+vq8yvLykFoEt6F4eWz5PKvBBCqMi2LF1i/dBzT86Zb7gk3ehTRrv1XPbKvHSzF0J4iO+XEoVQW79+MGcORHluiR132VC0jdzqAoJ0AXQK9qI5f0ajvTK/va6JkSNrzEN9Mh+ml8q8EEJ4nC2ZT062b+qIybzJYqKkpgSQYfZCCM+RyrwQzho2DJ56Ci67TO1InPby7g8474+bWZyzQu1QGtFWVlF+2ljyu3bmUN02R5rfgVTmhRBCVbZh9g2TeQ8Os7fNl/fX+zN05FC3nae4uhgrVrQaLTFB7ln6TgghjudUMl9bW+uqOITwfVar2hE4rUtIMsOi+pEUFKd2KI1YIiPIfWIur15/lX2bo2vMVxqUOfOSzAshhApUrMwfzjpMdmY2AENGDCEo2H0rtdh+p5igGHTajjPtTgjh3do0zP6nn37i008/ZcWKFWRnZ2OxWAgJCWHIkCGceeaZzJgxg+QGb9ZCnBSKi6GwEIqKIDJS7Wic8tjAO3iw361kVh5RO5RmZWUftT9OTUt16DVSmRdCCBXZkvmUFPumhJAEjGYjUYHunZ626o9V9sfuni8fog/hmoHXEBXk+1PuhBC+w6Fk/uuvv+a+++6jvLycc845h/vuu4/k5GSCgoIoKipi27ZtLFmyhHnz5jF9+nTmzZtHXJx3VfaEcJtFi+Cee2DqVHjmGbWjcZoF7xth4Jebjyk5gaxD2fZtXdIdq8zb58xLN3shhPC8Sy+FwYNh4kT7po03b6S4upj8qny3nnr1H55rfpcansqDpzxIarhjN5qFEMIVHErmn332Wf7zn/9w9tlno9U2HZl/Wd1c4SNHjvDKK6/w4Ycfctddd7k2UiG8VQfrZu91nezNZtIuvQG0WkyJynI/+gA9CUmONRiyLU0nlXkhhFDBqFFw2mnQqVOjzWar2a2ntVqtrP5TSeZDQkMYMGSAW89nI0PshRCe5NCc+VWrVnHuuec2m8g3lJKSwtNPP93mRH7BggWkpaURGBhIRkYGa9eubXX/kpISZs6cSVJSEgEBAfTs2ZMff/yxTecUwmU6UDI/6Kfz6ffjuewrP3TinT3EP/so2ppasFpZe1gZZp/aJfWE70c2MmdeCCFU1sz10WxxbzK/d9deCo4pS8WNHDMSPz/3LuBUVF1EQVUBFouX3RAXQnRobW6AV1NT0+JzOTk5bQ7gs88+Y/bs2TzyyCNs3LiRQYMGMXnyZI7Z5lgdx2AwcMYZZ5CZmcn//d//sXv3bt58801SGszFEsKjOlAyn1l5hMzKI+g03vO7BO7eB0BFtzRqDEbA8U72BrMBo0V5jSTzQgjhYUYjLF8OmzZBXZL7Z9afDHh9AHcsvsOtp244X37UKaPcei6ABWsXMHbRWJ5Y8YTbzyWEEDZtTuaHDh3K5s2bm2z/8ssvGThwYJsDeOGFF7jxxhuZMWMGffv2ZeHChQQHB7No0aJm91+0aBFFRUV88803jB07lrS0NE499VQGDRrU5nML4RIdJJm3Wq1UmJT55SF+7uv421YBu5RkPqdTfXNNRzvZVxur7Y8lmRdCCA8rLoabb4YpU+ybjpQdYduxbWSWZLr11J5sfgdQa65Fg0Ya4AkhPKrNyfyECRMYNWoUz9Q1+qqsrGT69Olcc8013H///W06lsFgYMOGDUyaNKk+IK2WSZMmsWrVqmZf89133zF69GhmzpxJQkIC/fv358knn8Rsbnm4Vm1tLWVlZY2+hHAZWzLv5iF87lZlrrbPlw/xC1Y5mnoBu/cDsC8i3L7N0cp8eEA4625cx9+3/I1ep3dLfEIIx8n1+CRTWqp8j4iAuqlRE7tO5Jerf+Hu0Xe77bQmk4l1K9cBEB0bTY/ePdx2LpvHT3ucvbfv5faRt7v9XEIIYdPm7OO1117j3HPP5YYbbuD7778nJyeH0NBQ1q5dS//+/dt0rIKCAsxmMwkJjRtZJSQksGvXrmZfc+DAAZYtW8ZVV13Fjz/+yL59+7jtttswGo088sgjzb7mqaee4tFHH21TbEI4zJbMOziH21uVGSsA0KAhWBeocjR1rFYC9yjJ/KYGf19Hk3mNRkN4QDgJIY41yxNCuJdcj08ytmQ+qr5aHR8SzxndzuBA8QFMFpNbTrtt8zYqypVr2qhxoxzuseIsf50//jp/j5xLCCGgHZV5gLPPPpuLLrqIv/76i6ysLJ555pk2J/LtZbFYiI+P54033mDYsGFcfvnlPPDAAyxcuLDF18ydO5fS0lL7V3Z2dov7CtFmY8fC7bfDsGFqR+KUclvXd79gNBqNytEo/PLy0ZWWY/XTsaas3L69c5pjybyNt/w+Qpzs5Hp8krEl89HRTZ5yZwM8Tw+xt9FqfPumvhDC97S5Mr9//36uvPJKcnNz+fnnn/n99985//zzueOOO3jiiSfw93f8jmRsbCw6nY68vLxG2/Py8khMTGz2NUlJSfj7+6NrMD+5T58+5ObmYjAY0OubDqUNCAggICDA4biEaJOpU+GCC2DvXrUjcUq5qT6Z9xZWPx2F112BzmTmwKZtAOh0OpJTk0/wSsXewr188PcH9I/vz4OnPOjOUIUQDpDr8UmmmWT++z3fc6T8CGkRaXSN6uqW06qRzN/+4+0E+AXwxpQ3SAxt/jOsEEK4WptvIQ4ePJiuXbuyZcsWzjjjDB5//HF+++03vvrqK0aOHNmmY+n1eoYNG8bSpUvt2ywWC0uXLmX06ObffMeOHcu+ffsaLf2xZ88ekpKSmk3khRCOaViZ9xbm2BgKb72WvKce5NBBZbm8lM4pDt80zCrL4rPtn/Hd7u/cGaYQQojmNJPMv7buNW75/hY25mx0yylrqmvYtG4ToFwvUtNS3XKehixWC78e+JX/7fmf288lhBANtTmZf+211/j000+JjIy0bxszZgybNm1i6NChbQ5g9uzZvPnmm7z33nvs3LmTW2+9lcrKSmbMmAHAtGnTmDt3rn3/W2+9laKiIu644w727NnDDz/8wJNPPsnMmTPbfG4hXKKoCI4ehaoqtSNxiq0y703N7wDQaikqq6CyQomvLUPs0yLTuCPjDqYPnu6m4IQQQrTIlszHxNg3FVQpa79HBkW65ZSb1m3CUGsAYNR49y9JB1BeW44VKwBRgdLNXgjhOW0eZn/NNdc0uz0sLIy33367zQFcfvnl5Ofn8/DDD5Obm8vgwYNZvHixvSleVlZWo8Ylqamp/Pzzz9x1110MHDiQlJQU7rjjDu677742n1sIl7j7bnj3XbjnHrjxRrWjaTdbAzxvWpYueM1Gavv14lBeoX2bo83vALpFdeO2EbeRFpnmhuiEEEK0auJEpfldg1WLCquV9/PIwEi3nHL1n6vtj0eN80wyX1qr3LQI8Q8hwE+mkQghPMcr1tKaNWsWs2bNava55cuXN9k2evRoVq9e3XRnIdTQQZamsw2z95ZkXldUQqdZ92PVaPjwodn27d17d2/zsaQpkRBCqGDQIBg6FLp1s28qrHJvMr/mzzX2xxnjMtxyjuOV1ijJvKwxL4TwNN/OPoTwBrZkvkFTRl/kbcPsA3bvA8CYlsqaLTvs24eOcHw6T25FLqU1pYTrw0kMk4ZEQgjhcQ1GV5osJnsV2x3D0SsrKtm6cSsAXbt3JSHJM8uS2n4nd92gEEKIlki5SghndZRk3laZ13lHZT5gt7K+fM2AvvZmRsEhwfTo08PhY7y35T3O//R8nlv1nFtiFEII0Yr162HzZihXlhYtqi6yPxUeEO7y021YswFT3TXZU/Plob4yHx3YdAk+IYRwJ6nMC+GsDjLM/tzkCcQERBLlH6F2KAAE1lXm89NSyf1uMQCDhg3Crw1/50qDcoMiTB/m+gCFEEK0bu5cyMqCP/+EsWPtQ+wjAiLw07r+mqnGEHuAktoSAKKDJZkXQniWb2cfQniDDlKZz4gdxIiYAewrP6R2KEB9ZX5zgyGaQ0YMadMxqozKCgNhAZLMCyGExx23NJ2t+Z27Or6vXlHfTyljrOeSeXtlPkiSeSGEZ7VrmP25555LTk5Ok8dCnJQ6SGUelLVyvYG2ohJ99lEAlhbWD8scMrJ9yXyoPtR1wQkhhDgxsxnKypTHtmTe1vzODcvSlZWWseNvpb9Kz749iY71XGJdVqv8njFBMSfYUwghXKtd2ccff/xBdXV1k8dCnJQmT4aEBOjSRe1InLK+cCsVpiqCdUFEqjwsPXjdZgAMaan8UffhTKPRMHj44DYdR5J5IYRQSXk5WJW114lSKvHurMyvW7kOi0W5Ie3JIfZQX5mXZF4I4Wm+X0oUQm133gm1tXDIO4ant9cdG59gZcEmXhn6IGcmjVM1lqohA8h59B4MwSHsmvM4AD169yA8om0NkyrrmvpJMi+EEB5mq8qHhoJeD0BBVQHgnq7vDefLe2p9eRvbnHlZmk4I4WmSzAvhCrbqgw/rFJxIt9BUovTqN8CzRIZTfsHZrMk8gtlsBto+Xx6kMi+EEKopKVG+R0baN9kb4AW6/jqz+k9lvrxGo2HEmBEuP35rZM68EEItkswL4ayyMqiuVubO+/C8+c/GvkilqYojVXlqh6IIDrYvSQdtny8PDRrgSTd7IYTwLFvzu6j6anWAXwAJIQkuH45eVFjE7u27Aeg7oC8RkZ69KT0hbQKdIzrTPbq7R88rhBC+m3kI4S1OP11ZS/eNN+DUU9WOxilmL2iAF7rkD/xz8qi4dCob12y0b29XZd4glXkhhFBF167wwAPQubN902MTH+PhUx/mQPEBl55q7V9r7Y8zxnt2vjzATcNuIlQfSnJYssfPLYQ4uUkyL4SzOsjSdABWL5guEPnlDwSv34IlPp7N6zcDEBUTRZf0tjcYlDnzQgihkk6dYNo0SEtrtNlsMbv8VGrOl7fRaXz/M4AQwve0a2k6IUQDHSCZrzUb6P6/Mxi/5EqqTDWqxaGprCJo83YAdvVIp7REGaY5ZMQQNBpNm45lMBswWoyAJPNCCKEabeOPmmar65N52/ryOp2OYaOGufz4rTFbzORX5mOymDx6XiGEgHZW5rt06YK/v3+Tx0KclDrAOvPlpgr2V2QBEKBT77/n4HWb0ZhMGLp04s+c+rn7zsyXB0nmhRDC4/btU3rKhIdDYiIAp757KmaLmccmPkan8E4uOc2x3GMc2KsM2x8wZAChYZ59v8+vyufUd0/FT+uH4UFDm288CyGEM9qVfWzbtq3Zx0KclDpAZb6sbjh6sC5Q1aGCISvXAVB5+imNmt8NHTG0zceyJfMBugD8VbxBIYQQJ6W33oKvv4ann4b77sNqtbIyeyUmiwk/retufq9ftd7+eOTYkS47rqPKasvQoCEqMEoSeSGEx/luKVEIb9ERKvN1yXyIX7B6QVithKxUPpRVnTGBTQ8/DYC/vz/9B/dv8+HiQ+JZOm0pIf4hLg1TCCGEA2xL00Ury7VZsbL4qsUcKj3k0iXcNqzZYH88fPRwlx3XUT1jerJj5g5ZNUUIoQrfzT6E8BYdoDJfbqoAIEzFZF5/4BD+eflY9HqO9u1pHzbZd2BfAoMC23w8P60fncI7kRSa5OpQhRBCnEhZmfK9LpnXarScnn46+ZX5FNcUu+w061crN4E1Gg1DR7Z9FJcraDVaooKiTryjEEK4mCTzQjjrggsgJwciPLuurSt5Q2Vef+gwloAAqkcNY+O2Xfbt7VmSriEZ9iiEECpoZp15cG0DvLLSMvv68r379yYsXL3quHSzF0KoQZJ5IZz16qtKBSI3V+1I2q3MnswHqRZDxWnj2D92JLrQML584En79qEZ7au07CrYxbe7v2V48nBuHX6rq8IUQgjhCFsyX1eZP1B8gCUHlhAREMGQJOdu0tpsWrvJvqTq8FGeH2IP8OPeH/l5/89c0ucSrh96vSoxCCFOXrI0nRCu4AXrszuj3KR+Mg9gjYpkR3kFv/7wKwBxCXFMOGNCu461u3A3izYt4v92/J8LIxRCCHFCVmuTOfOrsldx8/c38/Lal112GtsQe2j/jV9n7czfyeJ9i9l6bKsq5xdCnNwcTuaXLFnS6vMWi4XHH3/c6YCE8Dm1tWA2+3RCr/Ywe7+juWCxQFAQ//3Pf+3bb5h1AwGBAe06ZnpkOtcNvo4Le1/oqjCFEEI4oroajEblcV0yX1hdCEBUoOvmljdqfqdSZb60VhmBEBMUo8r5hRAnN4eT+XPOOYdZs2ZRVVXV5Llt27YxYsQIXn/9dZcGJ4RPiIiAmBhl3ryPKjMqDfBCdCpU5k0mOt06hy5X3kremk38+M2PAETFRHHZtMvafdgBCQO4b9x93DL8FldFKoQQwhEaDTzwANx7L4QoK4oUVBUAEBHomv4ytTW1/L3xbwA6d+1MfGK8S47bViU1JQDSAE8IoQqHk/kVK1awdOlSBg0axF9//QXUV+OHDRtGr169ZM15cXLqCEvT1Q2zD1ZhmH3Ed7+gP5qLrqyC1776HovFAsB1t11HcIjzIwU0SAM8IYTwqKAgmDYN7r9fSeyBwiqlMh8R4JpkfuumrRgNSvVfrao81FfmXbncnhBCOMrh7CMjI4NNmzYxZ84cJk6cyE033cTq1avJzs7mk08+4aKLLnJnnEJ4J6tVGWIPvp3MG9VJ5jW1BqLf/hiAA9Mu54sXlSH24RHhXHndlU4du7CqkFpzLcmhyYQGhDodqxBCiDbS1teMbMPsIwMjXXLohvPlh40a5pJjtkdpjSTzQgj1tCn7CAwM5D//+Q/Hjh3jtddeIyQkhPXr19OrVy93xSeEdzM3WGLHp9eZV5L5UA8Ps4/45if8jxVgTIzn8bx8zHV/z2k3TSM0zLkE/JW1r/DJtk/496n/5pEJj7giXCGEEI44dgyys2HwYOjTB3B9Mt9wvvywDBWTeanMCyFU1KZu9vv37+eUU05h2bJlLFy4kP79+zNhwgS+/fZbd8UnhHezDbEHn07mL+98Ng/3n8mQqL4eO6empobodz4FIPOGq/n0828ACAkN4ZqbrnH6+FVGpb9HqF6q8kII4VG//w5XXgn33GPfZBtm74oGeGazmY1rNgIQExdDWrc0p4/ZXlKZF0KoyeFk/tVXX2XQoEHEx8ezdetWbrrpJv766y/uvPNO/vGPf3DNNddQYluGRIiTRcNk3oeH2V/QaRL3972FQVG9PXbOyC++x6+wmLKYKM764HP73Merrr+KyKhIp48vybwQQqjkuDXmoUE3exc0ituzYw8V5Urj1uGjhqPRqNMbxWg2Ulk3Tc2VXfqFEMJRDifzDz/8MP/973/58ssviYuLU16s1XLfffexfv16du7cSb9+/dwWqBBeqYNU5gEsVotnT/jXOgDuKCzmwKHDAERGRTL9lukuObwtmQ/Rh7jkeEIIIRzUTDJv62bvimH23jJfvqy2zP7YVdMHhBCiLRwuJW7fvp2kpKRmn+vXrx9r1qzhySefdFlgQvgEnQ6mToWqKp9O5jcV7cBoNRGkDSBAp3fpsXPz8vn8m8Ws2/g3FZVVVFXXUF1TS2FBEROBZXX7jRw7kn/P/zcxca5Zq1cq80IIoRJbMh+jvJ/XmGrs78muTubV7GRfUlsCKB36dVrf/QwghPBdDifzLSXyNjqdjoceesjpgITwKWFh8PXXkJ8PxcVqR9NuZy2/gWO1hXw7/jV6h6c7fTyLxcLqdZv5+P++Z9mK1ZjN9VV/LWD76VcgMTmR+x67j7MvONulQyUlmRdCCJXYpl3WVeZt8+V1Gh1h+jCnDm21WtmwWml+FxIaQq9+6jVhts2XlzXmhRBq8d1JvkIIl4kLjMZsNRPq5/y67jU1tdx450Os3fB3k+fu0Wo5WwM3REaijYlk8pSzuPGfN7pkPfnjSTIvhBAqOW6YfcNO9s7etM3OzCY/Lx+AISOG4KdivxrbMPvoQGl+J4RQh0PvgFqttl1vvo888ggPP/xwm18nhM+xWtWOwCnbzvmeYkMp+TVFTh/rrQ++aJTIx8VGc/mFZzMzLJTeLyjryK98cDZl11zq9LlaI8m8EEKopKxuLnldMl9jqiExNNElSW+jJelUnC8PSgf7C3pdQJ/YPqrGIYQ4eTmUzB88eLBdB4+MjGzX64TwGfv3Q69eEBEBq1apHY1TXNEA7/DRXN5473MA/HQ6nnn0HiafPp7I1RtIvucxAIpvuoayqy9x+lwnYm+A5y8N8IQQwqOuuUZZa763skLKyJSR5Nydw+Gyw/b35vbavH6z/fGQEUOcOpazBiYM5NkzniUtMk3VOIQQJy+HkvkuXbq4Ow4hfJPRCGYzWDzcCd4NLC4YXfDMi29SW2sA4JrLL+C8yRMJXrORpPseR2M2U3bRueQ/fj+4eRkhi9VCtakakMq8EEJ43EUXQXg4JCY22my2mJ0+9NaNWwHQaDQMGDLA6eO5gk4jze+EEOpweGm6Y8eOtfq8yWRi7dq1TgckhE+xLU3nw53s95ZnMmzxRUxbda9Tx1m5ZiO//PYXALHRUcy68SqCNvxN8t2PojUYqThzArkLngGtw2877VZtrLY/lmReCCFU0Mx7vdnqXDJfU13D7h27AejeqzuhYeq+v1cYKjCYDdLJXgihGoc/VSclJTVK6AcMGEB2drb958LCQkaPHu3a6ITwdrZkXsUGPM4qqC1mY/F2tpfta/cxjCYTjz+/0P7zPbdfR5jen8RH5qOtraXitHHkvPMK+Pu7IuQTsg3j1Gq0BPoFeuScQgghgNpa2LBBmYZW57mVz3HKO6fwxfYvnDr0jq07MNVddwcOG+jUsVzhkeWPMOD1Aby0+iW1QxFCnKQcTuatxw3BzczMxGg0trqPEB1eB6jMlxsrAZzqZP/R59+x/2AWAIMH9OaCc07Hqtdz9IVHKZtyJjnvv4Y1wLXr17em4Xx5Vy53J4QQ4gSOHIErr4Szz7Zv2npsKyuyVpBfle/Uof9u0Fx14BD1k3lbN/uIwAiVIxFCnKxcWk6UD83ipNMBKvPlJiWZD/ELatfrC4tKeOWNDwHlPeDBe25DWze8snZcBrmTT3dNoG2QFJbEt//41un1jIUQQrSRbVm6Bk2QZ4+azVndziIyMLLZlzhqy4Yt9seDhg1y6liu8N/z/ovRbKRbdDe1QxFCnKR8NwMRwht0oMp8SDsr89//vJyKSqUSfsn5kxlhMMC2XdSMGwUh6sxn1Ov09I7tTVJokirnF0KIk9Zxa8wDDEocRO/Y3hwqPeTUof/epFTmA4MC6dGnh1PHcgWtRktUUBTB/u0f2SaEEM5wOJnXaDSUl5cTGBiI1WpFo9FQUVFBWd1aorbvQpxUwsPhjDMaVSB8jb0yr2vf3PJV6zbZH19z+fnEP/YCgbv2kfvCPMqmXeaSGNtLq3F/sz0hhBANlJQo36MbrynvbPO7ooIiDh86DEC/Qf3w85IRcdLJXn0WiwWz2fmVEoRoiU6ns4869TYOvxNarVZ69uzZ6OchQ4Y0+lmG2YuTzsCB8MsvyhzBykq1o2mXMmMF0L7KvMlkZl3dMkEx0ZEMLiohcNc+LEGBVJx3hkvjbIs9hXtYenApI5JGcOXAK1WLQwghTjrNVObf2fQO/lp/BiQMIMi/fVO6Gg2xH6r+EHuL1cLsn2cTFxLHgnMWyMopKrBarZSWllJVVaV2KOIkEBwcTEREhNfluw4n87/99ps74xDCt/lw88f6YfZt/4C1bece+xD7UcMHEf3hlwCUXnERlugo1wXZRtuPbefF1S9yZvqZkswLIYQn2UZqxsQAytry1393PVas/HXdX+1O5v/eWN/8bsBQ9deXrzBU8NO+nwBl7rzwPFsiHx4ejl6v97okS3QMVqsVg8FgH4Ue6WWjcR1O5k899dQT7lNUVORUMEIIz7MNsw/Wtf0D1qp1m+2PL+icQshbH2PVaimeeZ2rwmuX1IhULul7CSNTRqoahxBCnHSOq8wX1xRjRbnhHRHQ/q7vDZN5b2h+V1qj/J7B/sGyBKoKLBaLPZEPDZVREcK99HplRaaysjLCw8O9asi9SyYc/fLLL7z11lv873//o7q62hWHFMI3/O9/cPXVMGQIvPGG2tG0izOV+YbJ/Hl7DyrHm3Impi6pLomtvYYnD2d48nDSo9JVjUMIIU46p56q9JE5XVnJpLCqEIAwfRj+Ov92HdJisdiT+dj4WJI7JbskVGeU1JQAEBWo3ii0k5ltjrwtyRLC3Wz/1sxmc8dI5g8dOsSiRYt47733KC4u5uyzz+b99993ZWxCeL/aWmVIoQ/fxGrvnPmamlo2/b0DgJHxsST+uQaA4n/e5NoAnSAN8IQQwsPGj4fTToOuXQEorFaS+aig9ie9hw4coqxUGeI6YMgArxhObVtj3pnfSzjPG/4tiJODt/5ba1MybzAY+Oqrr3jrrbf466+/mDRpEocPH2bTpk0MGKD+/CUhPK4jLE1XN8w+tI3J/MYt2zEYjABM7tEVk1aLoVsatYP6uTzGtqowVGC1WrFareCd771CCNFxNaha2SrzzlSwt2z0rvXlAUprlWH20YHRJ9hTCCHcx+Gy1e23305ycjIvvfQSF154IYcPH+Z///sfGo0GnQ8nMkI4xZbMe8kSOe1RX5lv2zD7hkPsI88+jYP/+4Dc/z7vytDa7Zk/n2H4m8N56s+n1A5FCCFOLtu2wYEDysg16ivzkYGR7T7k3xu8a748NBhmL5V54QITJkzgzjvvVDsM4YMcTuZff/11br75Zn755RdmzpxJTF2XUiFOah2gMn9t1wuZ1eNq0kJS2vS61evrKyWjhg+GqEjMifEujq59qoxKh31ZKkgIITzshhuUYfZ79wL1lfmIQNc0v+s/uL9z8bmIvTIfJJV54XnLly9Ho9FQUlLiluNrNBoCAwM5dOhQo+1Tp05l+vTpjbbl5uZy++23k56eTkBAAKmpqUyZMoWlS5e6JTbRmMPJ/AcffMDatWtJSkri8ssv5/vvv7c3nxDipNUBkvlZPa/myUF3kR7qeNO6svIKtu1UPqiNTEslNjIcAr2nm2+VSZJ5IYTwOKu1fmm6um72zlbma2tq2bVtFwDpPdIJjwh3OkxXsHWzl2Te91kskJkJW7cq3y0WtSPyDhqNhocffrjVfTIzMxk2bBjLli1j/vz5bN26lcWLFzNx4kRmzpzpoUhPbg4n81dccQW//vorW7dupXfv3sycOZPExEQsFgs7duxwZ4xCeK8OkMwDWKzWNu2/duNWLHVXu9eMJrqfdgmhP3rPHVipzAshhAoqK8FW6IlShp8XVBUA7V+Wbtf2XRiNSn8WbxliD/UN8GKCZKSqL9u5E55+Gh5+GObNU74//bSy3V0qKyuZNm0aoaGhJCUl8fzzTacofvDBBwwfPpywsDASExO58sorOXbsGKAk0BMnTgQgKioKjUZjr5YvXryYcePGERkZSUxMDOeddx779+9vV5yzZs3iww8/ZNu2bS3uc9ttt6HRaFi7di0XX3wxPXv2pF+/fsyePZvVq1e367yibdrc6rlr1648+uijZGZm8uGHH3LxxRdz9dVX06lTJ/75z3+2K4gFCxaQlpZGYGAgGRkZrF271qHXffrpp2g0GqZOndqu8wrhtPh4GDMGunVTO5J2sVgt7CjdR3ZVjtIszkGr122yP+5TWoa2qhpTpyR3hNgukswLIYQKbEN+AwMhSOnDYu9m384GeFs21E/pGjDUe5ot25J5Z3oBCHXt3AkvvwybNkFsLPTqpXzftEnZ7q6E/l//+he///473377Lb/88gvLly9n48aNjfYxGo3MmzePLVu28M0335CZmWlP2FNTU/nyyy8B2L17Nzk5Obz00kuAcqNg9uzZrF+/nqVLl6LVarnwwgvtBRhQ5ucfP1S+OWPHjuW8885jzpw5zT5fVFTE4sWLmTlzJiEhIU2ej4yMdOCvIZzV7q5dGo2GyZMnM3nyZIqKinj//fd555132nyczz77jNmzZ7Nw4UIyMjJ48cUXmTx5Mrt37yY+vuX5t5mZmdxzzz2MHz++vb+CEM676CLl68CB+iq9DykxlNHvx3MB2Hb29/hrHHtLWLV2MwA9tBqCKyqx+PtTO1D9LvY2tmQ+xL/pxUUIIYSblCpDz2nwId42Z769Se/WTVvtjwcOGdjeyFxOknnfZrHA119DQQH07Qu2VcfCw5Wfd+yAb75REnxXLileUVHB22+/zYcffsjpp58OwHvvvUenTp0a7XfdddfZH6enp/Pyyy8zYsQIKioqCA0NJbpuGkt8fHyjpPniiy9udJxFixYRFxfHjh076N9f6TfRuXNnkpIcK8A89dRTDBw4kBUrVjTJufbt24fVaqV3796O/fLCLVzyzzM6Opo777yTLVu2nHjn47zwwgvceOONzJgxg759+7Jw4UKCg4NZtGhRi68xm81cddVVPProo6SnpzsTuhAntSpzDdH6SML8QvDXOpbIHysoZN/BLAAuS04EoHZAH6yBAW6Ls62qjdWAVOaFEMKjbMl8dP08cmfnzO/cqpRH/fz86NW3l1PhuVK5oRyQZN5XZWXBrl2QmlqfyNtoNNCpk1KZz8py7Xn379+PwWAgIyPDvi06OppevRr/296wYQNTpkyhc+fOhIWFceqpp9bF3XpAe/fu5YorriA9PZ3w8HDS0tKavO7999/nqaccW+2nb9++TJs2rdnqfFtGdAr3cSiZf/rpp6murnbogGvWrOGHH35waF+DwcCGDRuYNGlSfUBaLZMmTWLVqlUtvu6xxx4jPj6e66+/3qHz1NbWUlZW1uhLCJfy0Te0TsGJFF68hj3n/uzwa1avq79pd2bdsKrqkUNdHpszKo2VgCTzQngbuR53cLZkPqp+SL2/1h+9Tt+upLemuoYDew8A0L13d/QBeldE6RIZKRlM6jqJ1AjHm8cK71FeDjU10MzocEDZXlOj7OdplZWVTJ48mfDwcD766CPWrVvH119/DSi5U2umTJlCUVERb775JmvWrGHNmjUOva41jz76KBs3buSbb75ptL1Hjx5oNBp27drV7mML5zmUzO/YsYPOnTtz22238dNPP5Gfn29/zmQy8ffff/Paa68xZswYLr/8csLCwhw6eUFBAWazmYSEhEbbExISyM3NbfY1f/75J2+//TZvvvmmQ+cAZYhIRESE/Ss1Vd54hYv85z+QnAzPPqt2JE6xahy/GbHp7/qGl/0rlDXqa0YNc3lMzpA580J4J7ked3DdusHtt8NVV9k3bbx5I3l359E3rm+bD7dn5x77ykl9B7T99e40Z9wc3r/wffrHe8dSeaJtwsKU1g6Vlc0/X1mpPO9gSuOwbt264e/vb0+yAYqLi9mzZ4/95127dlFYWMjTTz/N+PHj6d27t735nY1er9zYariyWGFhIbt37+bBBx/k9NNPp0+fPhQXFzsdc2pqKrNmzeL+++9vdL7o6GgmT57MggULqGzmD+muZfNEYw4l8++//z5LlizBaDRy5ZVXkpiYiF6vJywsjICAAIYMGcKiRYuYNm0au3bt4pRTTnFLsOXl5VxzzTW8+eabxMbGOvy6uXPnUlpaav/Kzs52S3ziJFRaCjk5LV8NfITZ6vg6LPszlf9+woCoo3kAVI8Y4o6w2sVoNmIwK3egQ/QyZ14IbyLX4w6uZ0+YNQtuvLHRZgsWNMePZXbAjgY3j/sM6ON0eK6m0/r2SjYns86doXdvyM5uOrjSaoXDh6FPH2U/VwoNDeX666/nX//6F8uWLWPbtm1Mnz4dbYOJ+Z07d0av1/PKK69w4MABvvvuO+bNm9foOF26dEGj0fD999+Tn59PRUUFUVFRxMTE8MYbb7Bv3z6WLVvG7Nmzm8Qwbdo05s6d26a4586dy9GjR1myZEmj7QsWLMBsNjNy5Ei+/PJL9u7dy86dO3n55ZcZPXp0m84h2sfhBniDBg3izTff5L///S9btmwhKyuL6upqYmNjGTx4cJuSa5vY2Fh0Oh15eXmNtufl5ZGYmNhk//3795OZmcmUKVPs22zdGf38/Ni9ezfdmukqHhAQQECA98znFR2Ijy9N93POCp7d+Rb9I3ows8dVJ34BcKAumY+LCKPw8qn4FxRhTohzZ5htUm2qnxIklXkhvItcj08Sx3UMM1vMLezYuh1b65N5b6rMW6wWTBYTWo0LO6MJj9Jq4cILlWR+xw5ljnxIiFKbOXxY6Wo/daprm9/ZzJ8/n4qKCqZMmUJYWBh33303pbYpKkBcXBzvvvsu999/Py+//DJDhw7lueee4/zzz7fvk5KSwqOPPsqcOXOYMWMG06ZN49133+XTTz/ln//8J/3796dXr168/PLLTJgwodH5s7KyGt08cER0dDT33Xcf999/f6Pt6enpbNy4kSeeeIK7776bnJwc4uLiGDZsGK+//nrb/ziizTRWlbsXZGRkMHLkSF555RVASc47d+7MrFmzmjRbqKmpYd++fY22Pfjgg5SXl/PSSy/Rs2dP+7CT1pSVlREREUFpaSnh4eGu+2XEyWfOHHjmGZgxQ3nsYxbu/YRb1/+bMxPH8sqwh064f3lFJcMnKp1Shw/pz0dvPAcpKeDAf3eekleRxynvnoK/1h/DQ+2fIybEycjT10e3nc9HVxjxeVlZYDTCuHEQFsb6o+u5Y/Ed9IrpxZxxbb9GXnrmpfy98W8ANhzcQGiYd9ygPVJ2hNPeP42IgAhK5pSoHc5JyWg0kp+fT1xcHP7+/u0+zs6dSlf7XbuUOfKBgUpFfupU5bsQNq76N+coR6+PDlfmzWYzzz33HN999x0Gg4HTTz+dRx55hKC6dUTba/bs2Vx77bUMHz6ckSNH8uKLL1JZWcmMGTMAZShISkoKTz31FIGBgfZlFWxsyzEcv10Ij/DxynyZUZnzHuIX7ND+Bw8dtj9O75Kq3LL2okQe6pvfyRB7IYTwsPnz4ZdfYMECuO02MksyWZm9EqPZ2OZDmUwmdu/YDUCXrl28JpGH+k72AX4yysTX9emjLD+XlaU0uwsLU4bWu6MiL4Q7OJzMP/nkk/z73/9m0qRJBAUF8dJLL3Hs2LFWl5BzxOWXX05+fj4PP/wwubm5DB48mMWLF9ub4rVnKIgQHmNL5v0c/k/Jq5TWJfOhDibztiH2WuA8kxFdeQXtGzzpPomhiXxw4QeEBbi4a40QQojWHdfNfkzqGL649AsqDBVtPtTBfQeprakFoM9A7yqR9ozpybob1xHq7z03GET7abVQt4KbED7H4Qzk/fff57XXXuPmm28GYMmSJZx77rm89dZbTifbs2bNYtasWc0+t3z58lZf++677zp1biGc0mEq846NsLEl8/2Aa75fgvm3lew/sN6rfv9g/2BGpowkOSxZ7VCEEOLkYltqsC6ZTw5L5pK+l7C/aD9ma9tu/TZsfudN8+UBtBot4QHhdArvpHYoQoiTnMNZeFZWFuecc47950mTJqHRaDh69KhbAhPCJyQnw6BBEOc9DeDaosxemXdsSLotmR9T93PN0AFelcg3JI2JhBDCw2yV+ejoRpvbmsgD7Ny60/7YGzvZg1xnhBDqc/hdyGQyERgY2Gibv78/RmPb50EJ0WHcfz9s3AhXXKF2JO1SalTm/YU5Osy+bs78eK2yxFBNxnD3BOaE/UX7+ejvj1hyYMmJdxZCCOE6xw2z/3Hvj3y27TPyKvJaeVHzvLWTPcDvh37n4d8e5vPtn6sdihDiJOfwMHur1cr06dMbLSlTU1PDLbfcQkhIfVXvq6++cm2EQng7dReEcEpZG+bMm0xmsrKVkTjjtTqwmKjOGOrW+NpjY+5GHvvjMc7ufjbn9zr/xC8QQgjhPKNRWdcL7JX5x/94nFWHV/HK2a9wZuiZDh/KarXaK/NxCXHExrd9+WN32pq3lc+2f0ZkYCTTBk1TOxwhxEnM4WT+2muvbbLt6quvdmkwQgjPKjMpyXyY/4mH2R8+movRZCIB6GwyYdVoqBk2yM0Rtl1yaDKTu01mTOqYE+8shBDCNcrL6x/XrTSUV6lU5GOCY9p0qCPZRygrVebfe1tVHqCsVoktMjBS3UCEECc9h5P5d955x51xCOGb/vlP+OknuOkmuOACtaNps1KD40vT2ebLD6z72ZDeBUu493WMH9t5LGM7j6VbVDe1QxFCiJOHnx/cfrvyuK6Xim14fWxQ2yrrjebLe1kne6hP5qMCo1SORAhxsvPN9bSE8BZHj8K+ffVDC31MW4bZHzikJPO2FNnYLc1NUbmGRqNROwQhhDh5hIfDrFmQmAhApaGSSqNybWxrZd6bO9mDVOaFEN5D2nAK4QyfX2fe1gDvxMPsbZX5n4B1t0yj5Lor3RlauxnNRqxWq3QZFkIINdRV5Y9VHgMg0C+QEAemcjXUsDLvjcl8ea1y7YwKksq8cI0JEyZw5513qh2G8EHyaVcIZ/jwOvO1ZgO1FgMAof6ODLNXOtkfAvyuvoSqSae6M7x2e2T5I/RZ0IfnVj6ndihCCHHyKCpSRqoVFwP18+Vjg2PbPFLK1sk+LDyMTl28by33MoNU5oW6li9fjkajoaSkxK3nufnmm9HpdHzxxRdNnvv3v/+NRqNp8tW7d2+3xiQak2ReCGf4cDJvsVq4o+c0ruxyHiG61pN5q9XKgcwsAJIS4gjxwrnyNlXGKqxYCdAFnHhnIYQQrvHjj3DuuXDHHUCD+fLBbZsvX1RQRF6O8to+/ft45ZQpW2VekvkOwmqBikwo2ap8t1rUjsgrVFVV8emnn3LvvfeyaNGiZvfp168fOTk5jb7+/PNPD0d6cpNkXghn+PAw+yC/QF4c9gAvDn0AP23rNyOKS0opLatAA9wTGEjwqg3KMkReqMpYBUCoPlTlSIQQ4iRiqxDGKPPj7Z3sg9o4X77B+vJ9Bnhf8zuQOfMdSulO2PE0/P0wbJ2nfN/xtLLdTSorK5k2bRqhoaEkJSXx/PPPN9nngw8+YPjw4YSFhZGYmMiVV17JsWPK1JXMzEwmTpwIQFRUFBqNhunTpwOwePFixo0bR2RkJDExMZx33nns37+/XXF+8cUX9O3blzlz5vDHH3+QnZ3dZB8/Pz8SExMbfcXGetdSkh2dJPNCOMOHK/M2Zqv5hPvYhtgnAbMPZZNy231ujqr9qo3VgCTzQgjhUWVKgkuUMo/cVpl3JpnvO9D75stbrBYq6laCkWTex5XuhN0vQ9EmCIiFsF7K96JNynY3JfT/+te/+P333/n222/55ZdfWL58ORs3bmy0j9FoZN68eWzZsoVvvvmGzMxMe8KemprKl19+CcDu3bvJycnhpZdeApQbBbNnz2b9+vUsXboUrVbLhRdeiMVSP9pgwoQJ9mO15u233+bqq68mIiKCs88+m3fffdclv79wLd8rJwrhTVJSoFs3CPW9xLHKVE2JoYwqU/UJ97U1v7N3su+UBP7+boyu/WzdkyWZF0IIDyotVb4fV5mPDopu02F2/t1gWTovrMyX15ZjxQpIMu/TrBY4/DXUFkB4X7BN59CGKz+X7YDD30B4L3BhQ92KigrefvttPvzwQ04//XQA3nvvPTp1atwb4rrrrrM/Tk9P5+WXX2bEiBFUVFQQGhpKdLTy31V8fDyRkZH2fS+++OJGx1m0aBFxcXHs2LGD/v37A9C5c2eSkpJajXPv3r2sXr2ar776CoCrr76a2bNn8+CDDzaa+rJ161ZCj/sMfPXVV7Nw4UJH/hzCBSSZF8IZH30E1dXQzNAjb7c0bxXn/3ErgyP78NnY/7S6ry2Z7173szEt1c3RtZ8MsxdCCBXYkvm6yrytm31bl6XbtX0XAPoAPek90l0Xn4vYmt8F+wej1+lVjka0W2UWlO6C4NT6RN5Go4GgTkplvjILQtNcdtr9+/djMBjIyMiwb4uOjqZXr16N9tuwYQP//ve/2bJlC8XFxfbKelZWFn37tjxiZe/evTz88MOsWbOGgoKCRq+zJfPvv//+CeNctGgRkydPtg+ZP+ecc7j++utZtmyZ/SYEQK9evfjuu+8avTY8PPyExxeuI8m8ECepanMNWo22TWvM25P5rl3cGJlzbMl8iL5tSyEJIYRwwvHD7NsxZ76muobM/ZkA9OjVA38vHAFma34XERChciTCKaZyMNeAroXPCn4hUH1E2c/DKisrmTx5MpMnT+ajjz4iLi6OrKwsJk+ejMFgaPW1U6ZMoUuXLrz55pskJydjsVjo37//CV/XkNls5r333iM3Nxe/Bj2hzGYzixYtapTM6/V6unfv3txhhIdIMi+Es6xWtSNol8s6n8OlqWeztzzzhPva5sz31OnAbMbQraubo2s/qcwLIYQKbJX5uuG/Oo2OAF1Amyrz+3bvs1cSe/bt6fIQXSFAF8DEtInEh8SrHYpwhl8Y6ALBXKkMrT+eqVJ53s+1q/d069YNf39/1qxZQ+fOnQEoLi5mz549nHqqsuTvrl27KCws5OmnnyY1VRkJuX79+kbH0euVUSFmc33fo8LCQnbv3s2bb77J+PHjAdrVWf7HH3+kvLycTZs2oWvQE2rbtm3MmDGDkpKSRkP7hbokmRfCGVOnwoED8PDDMHCg2tG0mUajwU/rh8lianGf2loDh4/mAtDX3w/MZq8dZm+1Wqk2SQM8IYTwuEsugfx8SFeGxi+7dhllNWUcrTjq8CF279htf9yrb69W9lRPt+huLDxvIZ3CO514Z+G9QjpDRG+l2V3DOfOgFGmqD0P0UGU/FwoNDeX666/nX//6FzExMcTHx/PAAw+g1dbPy+/cuTN6vZ5XXnmFW265hW3btjFv3rxGx+nSpQsajYbvv/+ec845h6CgIKKiooiJieGNN94gKSmJrKws5syZ0ySGadOmkZKSwlNPPdVsjG+//TbnnnsugwYNarS9b9++3HXXXXz00UfMnDkTAJPJRG5ubqP9NBoNCQkJ7fr7iLaTbvZCOGPnTti6FdowfMnbWE6wnmpm9hGsdaMPOpuUO8DGdO8cZm+0GO03JiSZF0IID5oxA554AtLS7JssWNC2oXnYnh177I979fPOZN5Gp/HdVWwESlO7Thcq3evLdoChFCwm5XvZDmV7p6kubX5nM3/+fMaPH8+UKVOYNGkS48aNY9iwYfbn4+LiePfdd+1Lwz399NM899xzjY6RkpLCo48+ypw5c0hISGDWrFlotVo+/fRTNmzYQP/+/bnrrruYP39+k/NnZWWRk5PTbGx5eXn88MMPTRrpAfbO+G+//bZ92/bt20lKSmr01aWLd35G7Kg0VquPjhF2QllZGREREZSWlkqTBuGcbt2Uyvynn8KQIWpH0yav7PmA5XlrOS0hgzMSx7a4309L/uDOuU8C8J8Lz+by0SOouPISrIEBngrVYcXVxYx6exQApodM6LTyYUuItvD09dFt5ztwoH7pUOE5UVEQF2f/saCqgKLqIodfPv2i6az6YxUAK3euJCaubc3zPMFqtaLRaOga2RV/nffN6T9ZGI1G8vPziYuLc663QulOpat96a66OfSBENFHSeQjvG81BaEel/2bc5Cj10cZZi+EM3x4nfm1hX/z1eFf6B7a+hAyWyd7AN2oYZRfej54YSIP9fPlA/0CJZEXQghPMRggKwu6doW4OLYd28aN/7uR9Mh0HpnwiEOHsFqt9k72sfGxXpnIA7y89mUWbVrEHRl38PSkp9UORzgroo+y/FxlltLszi9MGVrvhoq8EO4gybwQzrAl836+959SqVHp0Brm33rXd1vzO4D0Lp28+ne1zZcPOcHvJIQQwoUyM2HKFGWN+YICskqzWH14tb3zuyMKjhVQXFgMQM8+3tn8DqCspowaUw1+Wu+9Foo20mhduvycEJ4k70RCOMOHK/NlxkqAEy5Nl3VYaV50JjBk/WYMiYkY+nvn0LPE0EQWnLOAqMAotUMRQoiTh21ZuroO18OShvHlZV9SWlPq8CF8ofkdwOzRs7luyHX0i++ndihCCCHJvBBO8eHKfJmxAoCQEyTzR3KUtYJvCAwg+bmF5AcGe20yH6oPZVL6JJLDktUORQghTh4lJcr3umXpEkITuKjPRRwsPojRYnToELu3N0jmvbj5XYg+hIjACFmaTgjhFXwvAxHCmyQmgl4PHmiE4Wr2YfZ+LQ9Jr6mppbCoBICedcumGLu6dpkWd2hL92QhhBBOslXmoxqPimpt2dPj7dnZoJO9F1fmQTrZCyG8hyTzQjhj+3YoLYW8PLUjaTNbZT7Uv+XK/NHcY/bHnetGIRjTvDeZzyzJZEveFoYlDeO0rqepHY4QQpwcSuuG09dV5n/Z/wtF1UUkhSaRFJbk0CFsw+x1Oh3denZzS5iu8OraVzGajdw37j7SItPUDkcIcZKT8pUQzvLR1R3tyXwrw+xtQ+xDgSiDMlTSmyvzaw6v4d5f7+XF1S+qHYoQQpw8jkvm56+czxVfXsGaI2scernRaGTf7n0ApHVLI8BLV0wB+Hz75yzcsJCCqgK1QxFCCEnmhXCaDybzNeZaDHXzGFsbZn80R6nM22okpuhILOFh7g6v3WJDYhmTOobBiYPVDkUIIU4etmQ+RllOLq9CuREcGxzr0Msz92dirLth7O1D7MsNyhS1yMBIdQMRQghkmL0Q7We1wqhRyuMFCyA8XN142sBWlQcI9gtscT/bMPvudT8b01LdGZbTTu96Oqd3PZ1uUd47RFMIITqcUaOU3jFjxgCQV9m2ZN5Xmt8ZzUaqjFUAsmqKEMIrSGVeiPYymWDtWuXLx9ia34X4BbfayOfwUeUDWX0y771D7BuSBnhCCOFBkyfDI4/AWWdhtpjtQ9BjgmIcermvNL+zVeUBIgIjVIxE+DKr1cpNN91EdHQ0Go2GyMhI7rzzTrXDEj5KKvNCtJepQZdeH1tn3laZD29liD3A0VwlmX8DuGHBk/j38c4l6RrSoEGj0agdhhBCnFzqroMFVQVYrBY0aIgKcqx63bAy37NvT7eE5wrltUoyH+ofip9WPkKL9lm8eDHvvvsuy5cvJz09Ha1WS1BQkP35tLQ07rzzTknwhUOkfCVEezVM5n1snXlHmt9B/Zx5TVQElrEjqR3Y1+2xOeP+pfcz/M3hvL7udbVDEUKIk8ehQ5CfD2YzxyqV60Z0ULTDCa+tk31oWCjJnZLdFqazymqVJfikKi+csX//fpKSkhgzZgyJiYnEx8cTFua9/YiEd5NkXoj28uHKfGxAFNO7XsQZiWNb3MdgNJKXXwhASlIC+Pl7Krx2K68tt3/YEkII4SGXXQbDh8OuXW2eL19aUkrOkRxAmS/vzSOrJJkXzpo+fTq33347WVlZaDQa0tLSmDBhgr0KP2HCBA4dOsRdd92FRiMjDcWJ+VY5UQhv4sPJ/IDIXrwz6imyKo9SY65tdp+8vAKsVisBwMMVlUT83/8ovWWGV49CsDUmCtWHqhyJEEKcJCwWKKu7iRoVRV7BZgBigh2cL7/DN+bLA5QZlN8zMiBS3UBEi4YPH05ubq7Hz5uYmMj69etPuN9LL71Et27deOONN1i3bh06nY5LL73U/vxXX33FoEGDuOmmm7jxxhvdGbLoILz3U7kQ3s6WzOt04KN3Ti1WS4vPHanrZN8VuCTrCOb5r1E68wYPRdY+lcZKAEL0rfcCEEII4SKVlUpCD0oyf6iuMh/kYCf7HQ062Xt5Mm+bM+9oLwDhebm5uRw5ckTtMFoUERFBWFgYOp2OxMTEJs9HR0ej0+kICwtr9nkhjifJvBDtZbFAdDRofW+2SqWpCg0aTBZzi/sczVE+kNkWeTOmdfb6mxbVpmpAKvNCCOExtjXmAwMhKMi+xnx0cLRDL29Ymffm5ndQP8xe1pj3XmolwJJ4C7VIMi9Ee6WkQGEhHDsGJSVqR9Mm87a9xjM732RG+kXM6XNTs/scqUvm0+t+9vY15kGG2QshhMfZhthHRgJwrKquAV6gY8l8w8p8zz7encxLZd77OTLUXYiOxPdKikJ4G6tV7QjazN7NXtdyN3tbJ3tbCm/y4g7DNpLMCyGEh9kq81FKgmurzDsyZ95isdjXmE/pnEJomHe/d9vmzEcFSjIv3Eev12M2tzxyUoiGJJkX4iS0YPgjlFy0juvSL2lxH9uceVsyb/ShZD7EX+bMCyGERxyXzOu0OoL8ghzqZp+dmU1VpfK+3btfb7eF6CqdwjoxLGkY3aO7qx2K6MDS0tL4448/OHLkCAUFBWqHI7ycDLMXor0OHIAbboCwMJg/X+1o2kSj0RDsH0SwX2CL+xw5qlRX0rRasFgwpXj3fDCL1SKVeSGE8LROnWDaNOjfH4D/XfE/KmorOFJ+4iZkDYfY+0Iyf/3Q67ll+C10jeqqdiiiA3vssce4+eab6datG7W1tVh9cASo8BxJ5oVor9JS+O038NGmJ5ZWLg5ms5ncvHwAOms1YAFTSpKnQmuXGlON/bEk80II4SH9+ytf6en2TWar2aH1sXdt22V/3Kufd3eyt9FqZFCrcM6dd95pX1ceYPny5Y2eHzVqFFu2bPFsUMJnyTuSEO3VcGk6H3PPpme4ae1D7K/Ibvb5/IIiTHXzte4eNoisj1+ntncPT4bYZraqvAYNQf5BKkcjhBAnmQYru5itjs339bXKPCjTCIQQwltIMi9Ee9mSeT/fG+DyZfbPvJ/5DeV1jfCOd7iukz2Af1oqNSOGYA1puVmeN7DPl9eHSOVECCE85dgxyM8Hk4l9RfvIeCuDG/93o0Mv3bVdqcwHhwST6gMrppz5wZmMeGMEO/J3qB2KEEIAMsxeiPbz4cp8mbESgFC/5hN0Wyd7gJSkeJ+4YWFL5oP9vfumgxBCdCiPPw4//wyvvMK+s7qz9sha+xJurakor+DwocOAsiSdVuv9N2HzKvOoMdUQ5Cejv4QQ3sH7P6EL4a18tDJvtVrrl6ZrKZmv62SfAVyyeTuhv/5BxUXneirEdkkISeCZSc/IkkFCCOFJtm720dEMTx7Ot//4loKqE3fgti1JB9Crr2/Ml//+yu/RWDWkhKeoHYoQQgCSzAvRfj6azNeYazFZldhDW1jC7WjdMPuxwLDlKymLjPD6ZD4qKIqpvaeSEiYfsoQQwmPKlLXXiYoiNjiW83udz/6i/SecN9+o+V1/30jmU8NTiQmKQa/Tqx2KEEIAMmdeiPazWiEgAPS+dVEvNSrDHzVoCNY1vzTdkbpk3jaD0eQDa8zbyHx5IYTwoAaVeVCWCXWkAV7D5ne+UpkHaYAnhPAuvlVSFMKbnHkm1NRAdjZUV6sdjcMaDrFvKfE9Ujdn3r7GvA8k84fLDrO3cC9DkoYwMmWk2uEIIcTJwZbMR0Xx3ub30Gl19IzpSWRgZKsv273dt5L57LJsPtv2GX3i+nDXqLvUDkcIIQCpzAtx0rEl82EtDLG3Wq32OfNd66YQGJMTPROcE/449Ae3/HALT/35lNqhCCHEycFkgoq6VVGio/nXr//imq+vIac8p9WXWSwWe2U+pXMKYeFh7o7UaZnFmby58U3e2fSO2qEIIYSdJPNCOMtqVTuCNrEn837NJ/OFRSXU1hoA6FT3u5lSkjwTnBMiAyMZED+AntE91Q5FCCFODrb58kBFsB/5VfkAJ2wQd/jQYaoqlRVIfKEqD1BuUKaonWjEgRBCeJJXJPMLFiwgLS2NwMBAMjIyWLt2bYv7vvnmm4wfP56oqCiioqKYNGlSq/sL4TbLl8OUKfDCC2pH0ialDnay9weijEbAN5L5c3qcw/9d9n88NUkq80II4RFaLUybBtOmcajiCAARARGEB4S3+rKG8+V79+vt1hBdpaxWuXEhybwQrpOZmYlGo2Hz5s1qh+KzVE/mP/vsM2bPns0jjzzCxo0bGTRoEJMnT+bYsWPN7r98+XKuuOIKfvvtN1atWkVqaipnnnkmR44c8XDk4qSXnQ3ffw8bN6odSZvY58y3MMze1vwuGeUNwhIQgDnGd5Z706BROwQhhDg5REbCAw/AK69wsOQgAKkRqa2/huM62ffzjcq8JPPClXJzc7n99ttJT08nICCA1NRUpkyZwtKlS+37pKWl8eKLL6oXpJfIy8tj+vTpJCcnExwczFlnncXevXsb7TNhwgQ0Gk2jr1tuucX+fFFREVOmTCE0NJQhQ4awadOmRq+fOXMmzz//vEd+H1dTPZl/4YUXuPHGG5kxYwZ9+/Zl4cKFBAcHs2jRomb3/+ijj7jtttsYPHgwvXv35q233sJisTT6xy+ER/jo0nRlJltlPqjZ523JfDbw1r9uJfuLt0DjGwmyVqNF4yOxCiFEh6HTkVmSCeDQ8qC+WJkvr1WG2UcF+c7NbeGdMjMzGTZsGMuWLWP+/Pls3bqVxYsXM3HiRGbOnKl2eE0YDAbVzm21Wpk6dSoHDhzg22+/ZdOmTXTp0oVJkyZRWVnZaN8bb7yRnJwc+9ezzz5rf+6JJ56gvLycjRs3MmHCBG688Ub7c6tXr2bNmjXceeednvq1XErVZN5gMLBhwwYmTZpk36bVapk0aRKrVq1y6BhVVVUYjUai65ZEaU5tbS1lZWWNvoRwmi2Z1/nWMjWldfP+QluYM3+0rpO9BQjr3YPaIQM8FZpTZv04i4nvTeT7Pd+rHYoQogVyPe5gSkogLw+sVg4WK5V5R5L5XduVynxQcBCpaSeu5HuDMoPybzU6sOXPm8JLVFa2/FVT4/i+x69U1NJ+bXTbbbeh0WhYu3YtF198MT179qRfv37Mnj2b1atXO/GLg0aj4a233uLCCy8kODiYHj168N133zXa5/fff2fkyJEEBASQlJTEnDlzMNk+06JUuWfNmsWdd95JbGwskydPZvny5Wg0Gn7++WeGDBlCUFAQp512GseOHeOnn36iT58+hIeHc+WVV1JVVWU/1uLFixk3bhyRkZHExMRw3nnnsX//fod/n71797J69Wpef/11RowYQa9evXj99deprq7mk08+abRvcHAwiYmJ9q/w8PrpPjt37uQf//gHPXv25KabbmLnzp0AGI1GbrnlFhYuXIjOxz7P26iazBcUFGA2m0lISGi0PSEhgdzcXIeOcd9995GcnNzohsDxnnrqKSIiIuxfqam+ceEQXs5Hk/keYWlM7TSJvhHdmn3elswDJCcl+MzIg6PlRzlcdljWmRfCi8n1uIP5v/+DU06Bm28mszQTgOSw1pcyrSivIDszG4CefXr6zAdoW2Vehtn7gNDQlr8uvrjxvvHxLe979tmN901La36/NigqKmLx4sXMnDmTkJCmRZXIyMgWXzt9+nQmTJhwwnM8+uijXHbZZfz999+cc845XHXVVRQVFQFw5MgRzjnnHEaMGMGWLVt4/fXXefvtt3n88ccbHeO9995Dr9fz119/sXDhQvv2f//737z66qusXLmS7OxsLrvsMl588UU+/vhjfvjhB3755RdeeeUV+/6VlZXMnj2b9evXs3TpUrRaLRdeeCEWi+WEvwcoN4ABAgMD7du0Wi0BAQH8+eefjfb96KOPiI2NpX///sydO7fRTYVBgwaxbNkyTCYTP//8MwMHDgTg2WefZcKECQwfPtyheLyRT3/qffrpp/n000/5+uuvG/2ffLy5c+dSWlpq/8rOzvZglKLD8tFh9pd3OYevxr3KPzqf2+zztmH21+l09P30GwI3b/NkeO1WWF0IQHxIvMqRCCFaItfjDsZWeOnUyV6Z7xTeqdWX7Nm5x/7YVzrZg8yZF66xb98+rFYrvXu3fXpJUlISnTt3PuF+06dP54orrqB79+48+eSTVFRU2JuFv/baa6SmpvLqq6/Su3dvpk6dyqOPPsrzzz/fKMHu0aMHzz77LL169aJXr/r/Th9//HHGjh3LkCFDuP766/n99995/fXXGTJkCOPHj+eSSy7ht99+s+9/8cUXc9FFF9G9e3cGDx7MokWL2Lp1Kzt27HDod+7duzedO3dm7ty5FBcXYzAYeOaZZzh8+DA5OfVLYF555ZV8+OGH/Pbbb8ydO5cPPviAq6++2v78nDlz8PPzo1u3bnz99de8/fbb7N27l/fee4+HHnqIW265hfT0dC677DJKS0sdis1bqJqFxMbGotPpyMvLa7Q9Ly+PxMTW17V+7rnnePrpp1myZIn97kpLAgICCAgIcDpeIRrx0co8gMXa/B1Rq9XKkbpu9v/w9yfm/S8w9e9LzYghngyvzaxWK0XVyl3nuOA4laMRQrRErscdjK1ZcadO9XPmT7As3e7tDebL9/eN+fIApbXKB3xJ5n1ARUXLzx3/ma2FhtuAslpDQ5mZ7Q7JxurEcsZPPeXYaj0N86KQkBDCw8PtjcV37tzJ6NGjG/UXGjt2LBUVFRw+fNh+s2DYsGEnPHZCQgLBwcGkp6c32tZwlbG9e/fy8MMPs2bNGgoKCuw3DLKysujfv/8Jfxd/f3+++uorrr/+eqKjo9HpdEyaNImzzz670d/ypptusj8eMGAASUlJnH766ezfv59u3boRERHBxx9/3OjYp512GvPnz+ejjz7iwIED7N69mxtvvJHHHnvMp5rhqVqZ1+v1DBs2rFHzOlszu9GjR7f4umeffZZ58+axePFinx4WIXycjybzRosRs9Xc7HPFJaVU1q3920WrvNH7wrJ0lcZKDGalQUtciCTzQgjhEXWV+dKkKIprioETz5m3zZcH36rMl9SUABATHKNuIOLEQkJa/jp+JG9r+wYFObZvG/To0QONRsOuXbtOvHM7+fv7N/pZo9E4PKzdprkpAMcfW6PRnPBcU6ZMoaioiDfffJM1a9awZs0aoG1N9YYNG8bmzZspKSkhJyeHxYsXU1hY2OgmwvEyMjIAZSREc9555x0iIyO54IILWL58OVOnTsXf359LL72U5cuXOxybN1B9mP3s2bN58803ee+999i5cye33norlZWVzJgxA4Bp06Yxd+5c+/7PPPMMDz30EIsWLSItLY3c3Fxyc3OpaO0unBDucM89SkL/5JNqR9ImE5dOI/T/hrA0r2mTyazD9UOWEk1Kwm/0gWTeVpUP8Q8h2D9Y5WiEEOIkUZfMZ0YqP8YExRCibz25adjJ3leWpYMGyXyQJPOi/aKjo5k8eTILFixo0o0doKSkxK3n79OnD6tWrWpU1f7rr78ICwujU6fWp8i0VWFhIbt37+bBBx/k9NNPp0+fPhQXF7f7eBEREcTFxbF3717Wr1/PBRdc0OK+tnXrk5KafobNz8/nscces8/tN5vNGI1GQGmIZzY3X/DyVqon85dffjnPPfccDz/8MIMHD2bz5s0sXrzY3hQvKyur0ZyI119/HYPBwCWXXEJSUpL967nnnlPrVxAnK41Gqcr72Jz5MmMFRouJQG3Toa62ZD4QCK+7a2pKaX3KizcorFLmy8cGx6ociRBCnCRMJigoAOBgsHK9ONF8eYvFYh9mn5KaQlh4mHtjdBGTxWSfMy+VeeGsBQsWYDabGTlyJF9++SV79+5l586dvPzyy62OTJ47dy7Tpk1z6ty33XYb2dnZ3H777ezatYtvv/2WRx55hNmzZ6M9flqBk6KiooiJieGNN95g3759LFu2jNmzZ7f5OF988QXLly+3L093xhlnMHXqVM4880wA9u/fz7x589iwYQOZmZl89913TJs2jVNOOaXZqdh33nknd999NykpyiiisWPH8sEHH7Bz507eeOMNxo4d69wv7mFekYXMmjWLWbNmNfvc8UMdMl0wX0WIk9lfZ3zC0apj1FqaDnGyJfO2j2OWoEAskREejK59impkvrwQQnhUYSGYzaDTYYkIp0d0D9KjWh72CnD40GGq6qZy9ezb0xNRukSNqYZhScMoN5QTHSRL0wnnpKens3HjRp544gnuvvtucnJyiIuLY9iwYbz++ustvi4nJ4esrCynzp2SksKPP/7Iv/71LwYNGkR0dDTXX389Dz74oFPHbY5Wq+XTTz/ln//8J/3796dXr168/PLLDnXkbygnJ4fZs2eTl5dHUlIS06ZN46GHHrI/r9frWbJkCS+++CKVlZWkpqZy8cUXN/s7/fzzz+zbt48PPvjAvm3WrFmsX7+ejIwMRo4cySOPPNLu31kNGqsznRh8VFlZGREREZSWljZag1CINvnkE/j2Wxg2DFoZ6uONyowV5FbnN9l+37+f45sfljARWAYYunUhc80vHo+vrb7Y/gUP/vYg53Q/hx+u+kHtcITwWZ6+PrrtfAcO1Pc1Ee5RUACLFimP33oLgH1F+1pssArww1c/MPsmpTJ3+723M+ve5gs53io+JF4a4HkJo9FIfn4+cXFxTeZtC+EOnv435+j10Ssq80L4pM2b4bPPlOYnPpbMt/RhK/uIUpm3rfxsTPb++fJQvyydNL8TQggPiY2Fe++FuqGqZou51UQeYOumrfbHA4YMcGt47qDT+FbDWyFExyfJvBDt5YPd7I9W5TFny/MkBcVxffolTZ63DbP/OSqSA++/jCbGN+ag2xrgJYQkqByJEEKcZOr6xhgtxhPu+vemv+2PfTGZ12pUbzUlhBCNyLuSEO3lg8n8/opsPsj8li+yFjd5rrqmhvwCJSlOTk3GlBiPsUfr8x+9ha0yHx8Sr3IkQghxksjJgbw8rFYr6S+lM+btMRyrbHnNbpPJxI6/dwCQ0jmF6FjfmXv+3e7vGLdoHHf9fJfaoQghRCNSmReivWzJvA91s8+uUirviUFNK+7Zh3Ptj1NTEpXfS6PxWGzOKK5WljqRZF4IITzkuefg++8peuYRDlYfBCAioOWGqfv37Ke6qhrwvap8QVUB+VX5VBhkGWQhhHfxnSxECG/jg5X5w1VKwp4Q0DSZzzpSvwTkrCO5xL7yNiV33IzJB9aZnzF4Bmd0O4OMThlqhyKEECeHY0oVPrxTNzaftpnt+dsJ8Gu65KlNo/nyg30rmb+oz0VkpGTQO7a32qEIIUQjkswL0V4+WJk/XJ0HQHxg03VyDzdI5sfv2U/g3zsou/5qj8XmjPFdxhOqDyU5LFntUIQQ4uSQq9wc9k9NY1DiIGKDY6k0Vra4+98b6+fLDxzadO1nbxYZGElUYBQ9YnqoHYoQQjQic+aFaC8frswnBjZTma9rfhcKBNbUAmBMTvRYbM6SLsNCCOEhVqs9madTJ+DEDfC2bdoGgEajoe/Avm4Nzx2k+Z0QwhvJO5MQ7fXf/0JhIVztG9VraH3OvC2Zty1LZw4LxRoW6qnQ2q3GVMOSA0tYf3Q9VqtV7XCEEKLjKykBgwGAT0v+5Nm/nmVb3rYWd6+tqWX3jt0AdOvZjVAfuLY09Mm2T3hjwxvsL9qvdihCCNGIJPNCtFdgIISHQ0DLcwS9zeEqZZh9c5V52xrzPfT+AJiSfWOZt5zyHGb+OJN/fPkPND7SsE8IIXxannItITaW93d8wn1L7mNL3pYWd9+5bSemutFsvtb8DuDjrR/z7Mpn2V8sybwQwrtIMi+EM3yoEmwwG8irKQAgMTCu0XNms5kjR5UPZ/0jwgF8ovEdgMVqYVDCIIYkDlE7FCGEODnYhtgnJ3OwROlk3ym8U4u7N2p+N9T3kvmSmhIAYoKa9psRwttpNBq++eYbh/efPn06U6dOdVs8wrUkmReivV56CW66CdavVzsSh+TU5GPFil7rT7S+8fJBOXn5GOuqJr2DgwAw+kgy3y26G59f+jmLr16sdihCCHFySE6G66/HetllZJZkApASntLi7r7cyd5qtdYn88GSzAvXyM3N5fbbbyc9PZ2AgABSU1OZMmUKS5cute+TlpbGiy++qF6QdSZMmMCdd97pkmMtXbqUMWPGEBYWRmJiIvfdd5991A5AZmYmGo2mydfq1avt+/z666/07NmT8PBwrrnmGgx1U34ASktL6dmzJ4cOHXJJvL5Aknkh2uuXX+DddyErS+1IHGJrfpcUGNdkOHr2kfo15rvWNfQzdW65yuKNpAGeEEJ4SM+ecO+95M28lhpTDVqNlsTQlhum2jrZ+/v707ufby3vVmOqwWBWkgWpzAtXyMzMZNiwYSxbtoz58+ezdetWFi9ezMSJE5k5c6ba4bnNli1bOOecczjrrLPYtGkTn332Gd999x1z5sxpsu+SJUvIycmxfw0bNgwAi8XClVdeyS233MKqVatYv349b7zxhv11c+bM4ZZbbqFLly4e+73UJsm8EO3lY93ss22d7IPimj53uH5ZuiUXn8uBnz6m9KpLPBabK+i0vvH/gxBCdAgaDZkVhwFICk1Cr9M3u1t5WTkH9ylD8Xv3740+oPn9vJWtKu+v9SdU71uN+05WlYbKNn+ZLPXVYZPFRKWhkmpjtUPHbavbbrsNjUbD2rVrufjii+nZsyf9+vVj9uzZjSrQ7bF3715OOeUUAgMD6du3L7/++muTfbKzs7nsssuIjIwkOjqaCy64gMzMzGaPN336dH7//Xdeeukle5U8MzMTs9nM9ddfT9euXQkKCqJXr1689NJLrcb22WefMXDgQB5++GG6d+/OqaeeyrPPPsuCBQsoLy9vtG9MTAyJiYn2L39/pZ9TQUEBBQUF3HbbbfTr14/zzz+fnTt3ArBy5UrWrVvHHXfc0Y6/nO/ynQWyhfA2PrbOvCPL0gGkpiYrVfn4pvt5o/kr5/PT3p+4b+x93J5xu9rhCCFEx7d/P4SHsy94H9D6fPltm+u73Pti8ztbMh8VFCVNVn1E6FNtv+ny+SWfc2m/SwH4eufXXPZ/l3Fql1NZPn25fZ+0l9IoqCpo8lrrI473TyoqKmLx4sU88cQThISENHk+MjKyxddOnz6dzMxMli9f3uzzFouFiy66iISEBNasWUNpaWmT4fFGo5HJkyczevRoVqxYgZ+fH48//jhnnXUWf//9N3p945ttL730Env27KF///489thjAMTFxWGxWOjUqRNffPEFMTExrFy5kptuuomkpCQuu+yyZuOrra0lMDCw0bagoCBqamrYsGEDEyZMsG8///zzqampoWfPntx7772cf/759nMnJSXxyy+/MGnSJFasWMG1116L0Wjk1ltvZdGiReh8pMjmKlKZF6K9fKwy3y20M5ekTmZwVJ8mz2UdOWp/3LlTMtTdAfUFOeU5HCk/0uiuuhBCCDe64w4YN471674FoHdsy0PnG82X9+FkPjooWt1ARIewb98+rFYrvXu3fbpJUlISnTt3bvH5JUuWsGvXLt5//30GDRrEKaecwpNPPtlon88++wyLxcJbb73FgAED6NOnD++88w5ZWVnN3iSIiIhAr9cTHBxsr5LrdDr8/f159NFHGT58OF27duWqq65ixowZfP755y3GN3nyZFauXMknn3yiNF4+csR+gyAnRykqhYaG8vzzz/PFF1/www8/MG7cOKZOncp3330HKM38Pv/8c+bNm0e/fv0YMmQI1113HU8//TQTJ04kMDCQsWPH0qtXL1599dW2/ol9km+UFIXwRj5Wmb8w9QzOTzmN/RVN5/jbhtmP1GoY+eoiaseNouSfN3o6xHYprC4EIC6k6fQBIYQQblDXzX6tQRk+3z++f4u7+noyX1xTDMh8eV9SMbeiza8J8KtfZvjCPhdSMbcCraZxzTPzjkxnQ8PqxCpITz31VKvP79y5k9TUVJKTk+3bRo8e3WifLVu2sG/fPsLCwhptr6mpYf/+ti29uGDBAhYtWkRWVhbV1dUYDAYGDx7c4v5nnnkm8+fP55ZbbuGaa64hICCAhx56iBUrVqDVKn/r2NhYZs+ebX/NiBEjOHr0KPPnz7dX58eNG8e6devs++zZs4f333+fTZs2ccopp3DHHXdw9tln079/f0455RQGDhzYpt/L1/hGFiKEN/KxyjyAyWpuss1qtdqH2U8MCyNi2Z9UoPGZZL6ougiA+JB4lSMRQoiTQGUllJdj1MLGEmWu6sCElj8s25L54JBg0nukeyREV5Jl6XxPiL7p8PW28NP64advmiI5e1yAHj16oNFo2LVrl9PHao+KigqGDRvGRx991OS5uDjHiyKffvop99xzD88//zyjR48mLCyM+fPns2bNmlZfN3v2bO666y5ycnKIiooiMzOTuXPnkp7e8ntDRkZGs3P/bW6++Waef/55LBYLmzZt4tJLLyU4OJhTTz2V33//XZJ5IUQLfCyZL6gtIkDbtPFQSWk5FZVVAAwODIBSMPT0nQ9ckswLIYQH5eUBsDUtiFpzNREBEXSJaL5zdH5ePjlHlJvF/Qf198m5rLIsnXCl6OhoJk+ezIIFC/jnP//ZZN58SUlJq/PmW9OnTx+ys7PJyckhKUlZXvj4hnpDhw7ls88+Iz4+nvDwcIeOq9frMZsbF4P++usvxowZw2233Wbf5mhlX6PR2EcPfPLJJ6SmpjJ06NAW99+8ebP99zne22+/TXR0NOeffz7FxcooGqPRaP9+fNwdkcyZF6K9fv0V9u2DjAy1Izkhk8VEwtdjif1qFIW1JY2eyz5S3/yuN8rwL2PP7p4Mr90sVgvF1cqbd1ywDLMXQgi3q0vm1/ZREoFBiYNabAy3ZcMW++P+Q1oeiu/NbMl8bLBvNIUV3m/BggWYzWZGjhzJl19+yd69e9m5cycvv/xyk2HxDc2dO5dp06a1+PykSZPo2bMn1157LVu2bGHFihU88MADjfa56qqriI2N5YILLmDFihUcPHiQ5cuX889//pPDhw83e9y0tDTWrFlDZmYmBQUFWCwWevTowfr16/n555/Zs2cPDz30UKOh7y2xLcW3fft25s2bx9NPP83LL79sv9H33nvv8cknn7Br1y527drFk08+yaJFi7j99qYNjo8dO8bjjz/OK6+8AkBUVBR9+vThxRdfZNWqVSxdupSxY8eeMCZfJ8m8EO0VHQ2JiRAQcOJ9VZZXU4jVasVqtRKlb3wnNutwffO71OpaAAw+MhSytKYUc93UAZkzL4QQHmCbL5+qfIRsbb78X8v/sj8eljHMvXG5SWlNKSDJvHCd9PR0Nm7cyMSJE7n77rvp378/Z5xxBkuXLuX1119v8XU5OTlkZTXte2Sj1Wr5+uuvqa6uZuTIkdxwww088cQTjfYJDg7mjz/+oHPnzlx00UX06dOH66+/npqamhYr9ffccw86nY6+ffsSFxdHVlYWN998MxdddBGXX345GRkZFBYWNqrSt+Snn35i/PjxDB8+nB9++IFvv/2WqVOnNtpn3rx5DBs2jIyMDL799ls+++wzZsyY0eRYd9xxB3fffXejHgHvvvsun376Keeddx7/+te/GDFixAlj8nUaqzOdGHxUWVkZERERlJaWOjzERIhmVVbCkSNqR+EQg9nAttK9hPoFN9r+2tsf89LC9wkEqjSgscL+nSsxx3n/kML9xfs556NzCA8Ip3ROqdrhCOHzPH19dNv5DhyonwolXGvhQvjPf3h11ki+HhHKVQOuYlzncc3uOmn4JLIzs/Hz82PN3jWEhvneOu3zV87n98zfeXTCo1wx4Aq1wxF1jEYj+fn5xMXF2dcgF8KdPP1vztHro8yZF6K9Hn4Y8vPhsssgJUXtaE5Ir9MTHxhDlam60XZbJ/seKIm8OSIcc6xvLMFTVKXMl5ch9kII4SGDB8MNNzBr/BlMu+Ascitym93t0IFDZGdmAzA0Y6hPJvIA/xrzLx4c/yBdIpvvCyCEEGqSZF6I9nr3XcjOhjPO8IlkHmh2LfbsI8oHsRTA4u+HoXsatDD/0dvYmt/JEHshhPCQUaNg7Fjo1o2aymMt7rZi2Qr74/Gnj/dEZG6j0/pe4z4hxMlBknkh2suH1pl/be9HrMzfxIT4DE6JH97ouay6BnhrIiPY99PH6ELDmjuEV7KtMR8fLJ3shRDCUw5W5xBWFUGNqabFff5c9qf98fiJPp7MaySZF0J4J2mAJ0R7+dDSdMvz1vLRof9xsLJxp9KamlryjhUA0LlTEvj7YU5KUCPEdpHKvBBCeNjWrdzz58PEzY/j3c3vNruLodbA6j+VJbHi4uPo3b+3BwN0HbPFzPh3xjPxvYn2lVOEEMKbeH9JUQhv5UPJ/OFqZSmhxMDG3Xj37M+0P+6SmuwTowwasiXzCSG+cwNCCCF8lsEAl1xC8bVAV+gW1a3Z3Tas2UB1ldKfZezEsS0uXeftymrLOFZ5jGOVxwjRh5z4BcLjTsI+3kIl3vpvzbc+uQvhTXxomP3hKmVefFJQ4wr2hs3bANAAr/y9k8gHnuLYS09iiYzwdIjtMqXnFLpHd+es7mepHYoQQnR8+fkALPtEz6Hc3ZQbK5rdrdF8+dN8d4h9qD6Uby7/Bg0a9Dq92uGIBmzrkhsMBvR6+f9GuJ/BYADq/+15C+/PQoTwVj5SmTdbzBytVpoUJRxXmd+weTugNL/rfCQHa94xckOCjz+E1xqSNISMThmkRaapHYoQQnR8dWvMk5REgH8gtRZDs7vZknmNRsOYCWM8FZ3L+ev86RPXh8TQRLVDEcfRarUEBwdTVlYGgF6v99kRIMK7Wa1WDAYDZWVlBAcHo9V61yx1SeaFaC8fqczn1hRgtprRaXTEBkTat1utVjZsUZL5oUGBUF2DsXMn8LH1WqUxkRBCeEieMmWLTp1abH6Xl5PHnh17AOg/uD/RMb6x1Glr5DrjnSIilFGEtoReCHcKDg62/5vzJt6dhQjhzfbsgcJCCApSO5JW2YbYJwbGNvpAkpl1hKLiUgBOS0qAA4cw9EhXJcb2+u3gb8SHxBMfEk+AX4Da4QghRMeWl8eFl0Nx5z3MPLKOQYmDmuzy528Nutj78BB7gK15W1mZvZJTupzCBb0vUDsccRyNRkNkZCTh4eGYzWa1wxEdmE6n87qKvI0k80K0V1oahIZCUZHakbTqcHV9Mt/Q+rr58gDDQ5QbEr6UzJstZm778TYsVgtHZx8lKSxJ7ZCEEKJDs+zfx2/doDQwn7tamEO+Ymn9fPlxp43zVGhusSFnAy+sfoEj5UckmfdiWq3WaxMtIdxNknkhnFFbq3YEJ2SvzB/X/G5j3Xx5gHSTckfb0LP5zsTeqNpUzaCEQZTUlBAbHHviFwghhGg/q5W92/+gtB8EafR0j+7eZBez2czK31cCEBYexqBhTSv3vqS4RlmOTq4xQghvJcm8EO3xn/8ow+xPPx0GDlQ7mlZl1yXzCYExjbbb5svr9f7EFiofWHypMh+qD+XTSz4lPiQef51vzfMXQgifY7WydvqZUPUh/eP7N/u+u3XTVkpLlOlbYyaMwc/Le8qcSElNCQAxQTGt7yiEECqRMSlCtMf//R8sXAiZmWpHckK2ynxCQP2HkfyCIg5lHwVgSO/uWIMCsep0GLp3VSVGZ0hjIiGE8ACtlh9jlRu/A5OHNLvLz//72f54/ETfni8PDZL5YEnmhRDeybdvmQqhBrMZNm9WHvfrp2oojrAn80H1wwRtVXmAQUMGkDnrOggNg6hIT4fnNJ1WknkhhHC3/Joivjz8CwDn9TyvyfMV5RV88cEXAPjr/Zk4eaJH43MHqcwLIbydVOaFaKvdu6GqCkJClCZ4Xu5wtbKUUFJg/Zz5DQ3myw8f0l954EPrywN8vv1zTn33VB5c9qDaoQghRMdmMvHux//CaDEyOGEwfeP6Ntnly4+/pLysHIApl0whNt7355lLZV4I4e2kMi9EW23cqHzv2xd03l8Vviz1LPaUZ5ISlGDftqGuk71Go2HwgD7KRh9bXz6vIo/cilyqjFVqhyKEEB2aZctm3qj6E4Lg0j4XN3neZDLx3n/fs/8849YZngzPbaQyL4TwdpLMC9FWGzYo3/s2rUx4o2eH3EthbTGFtSUAVFRWsXPPAQB6dOtCz5ffRr8/k8IHZ1M16VQVI22bwupCAOJD4lWORAghOrZl6z9nXwyEm/04p1fTIfa//vArR7KOAMpydD379PR0iG4hlXkhhLeTZF6ItrJV5vv0UTeONjBaTPbHW7btwmKxAJAxsC8hy1fiV1TiE6MMGiqqLgIgLjjuBHsKIYRwxn/Lf4dwuDhoGMH+jadkWa1W3nntHfvP1912nafDc4saUw01phpAKvNCCO8lc+aFaAurFYqVbr6+0PzunQNfklN9jApT/VD09Zu22R9f5u+HX1EJpoQ4qsaPUiPEdrFarezI3wFAakSqytEIIUTHlZt/kG8SSwC4ZPT1TZ7ftG4TWzZsAaBn356MOXWMJ8Nzm9IaZYk9nUZHeEC4ytEIIUTzpDIvRFtoNPD337B3L5hMJ95fRZuLd3LdmvsJ0QXx56RPCPYLBBp3sh+7cx8ApVdeDD60HvDm3M1kl2UT7B/MGelnqB2OEEJ0WO+seg2TDjKO6ek+oOlUrIZV+Rm3zkCj0XgyPLcprlFu3EcFRXWY30kI0fH4zqd3IbxJSAhUVKgdRasqTVWMihlMTECkPZE3mkxs2boLgHFx0UT9vQOrVkvptZerGWqbfbv7WwCm9p5KiD5E5WiEEKLj0hzKIjIErtU0XVs+62AWv/7wKwBx8XGcd1HT+fS+yjZfPjooWt1AhBCiFZLMC9EeNTVqR3BCY+OG8fvpH7Cn7KB929oNf1NTWwvAXSEhkF9E5YSxmDolqxVmmxnMBn7a+xMA1w66VuVohBCiY5vzm5E7dkPO21fQcDyaxWLhuXnPYbVaAbj6xqvRB+jVCdINNGjoEd2DnjEdo5mfEKJjkmReiLa45BIoKYFbb4UBA9SO5oTKTBXodcqHq5qaWh57dgEAeuCsYwUAlM64Qq3w2uWPQ39QUltCQkgCp3c9Xe1whBCiQ7Jarcrw8s8/p2TrKswZjSvzLz39Ej9/9zMAIaEh/GP6P9QI020yOmXw/ZXf0yWii9qhCCFEi6QBnhCOslphyRJYutTr55d/c3gJRbUllBkr7dteWvg+mXVLB/Xv34vCf99N2QVnUXmG7yxHB/Dd7u8AuKL/Fei0vtWBXwghfIHJYuLyv+7kk8zvKbPWUD56KNawUPvzX3zwBQtfWAiARqNh/uvziYyKVCla95LrjBDCm0kyL4SjDhyA0lLQ66F7d7WjaVF2ZQ4XrZhFyjencKxaqb5v3LKDdz7+CgC93p/HH7mH6tPGk/vf573+xkRDZbVl/Jb5GwDXDpYh9kII4Q7vHfyaL7IXc/3quWwt2Q2Bgfbn/vztTx655xH7zw88+QCnn91xR0npNJLMCyG8l+98ivdSFgtkZUF5OYSFQefOoPXgLRJXn7+l4xkM8O23kJ0NqalwwQVKDnj8vuDYNlfG2KkTHD6s5Nm2bRERkJwMa9dCXh7ExUFiopKPWywQGqrsExGhvD4rC3btgpwcZeW54GDo3x/GjFFizcyE0kUbGQIUJ/Zh9RJ/4uJg8GAlpk2bYM8eZSp9erqS66ekNP97Wixw9ChUVip99BITITdX+Vmvhx07YPduZSDA4MH19w0yM6GgQHm9VgsxMRAUVD99PzhYOd4rh7/GipV+IX2pLY5kR0ktsx943j6v8aJzpxGoT+VIcRAVtX6EhCh/K0/+u23u7+BIDD/v+xmD2UCf2D4MShjkmUCFED7Ddn2o2Q2hASd+X3H0fajhfrb36bw85fHAgco1MiQUQuv6cVZVnfh9zXbM8gqoKFdeA0reXFOjXAMqK5VrUlCQcqzKSmVBFYBeveC005SfN2xQtg0erCy6cuBA89ejhr9HcN1y8eXlcPCg8lVeAV3TIEE7mRu3vcyZOwrIO5jF76OGAXA482/eeemfmM1mAM6+aDpDx1zDDz/WxRmoXFMjIpTrrLuvLe25jjjqyRVP8lf2Xzxy6iNcPfBq1xxUCCFczCuS+QULFjB//nxyc3MZNGgQr7zyCiNHjmxx/y+++IKHHnqIzMxMevTowTPPPMM555zjwYgVO3fC118rSWBNjXIB7t0bLrwQ+vTxvfO3dLyaGvj4YyXhNJtBp4PoaBgyRLlg2/aNrmv4WlTU+jZXxlhbC9XVyipx+fn1F/TgYCgsVJ43GpV9LBblBoTVWp8Mp6Yqx8nNVT6Y2T5AabXKcdLTlZsPWVkwY/cGhgCLs/vyzFzlpkFUNBgNjV+r00FCgvIh6x//gG7d6uPfvx9+/VX5oFVbq3wAtP1dcnKUD1M1NWCt21+rgYAA8PdXfg+jUfk9QDmPRqN812qVx37+FrbO+AoioPy3STz0PuzNfp/cImV4faB/b0YsMbH7t/f5JPVaLOnK3yE9Hc44o3Gs7nT83yEgwLEYCqoLCNAFMG3QNFkqSAjRSMPrQ3gBBOtbf19x9H2o4X579sChQ8r+Vmv9e35oKISHK9cYvR5iY1t/b7Udc8sW5XFxsXIds1iU66xWW/8zKO/vFkv9tQGU64NOp8RgsdTFA2jq9rddH2zXozFjlBvFBw4o18eCAmVRlqKiuuuorgZTeB5RRTG8yU28wTHKNCGccbgra7/eCdWvg+Fn+/n9gs9g5eZ7WXaFEmvd/WL8/JTfvU8fGDTIfdeW9l5HHJVVmsW+on1UG6udP5gQQriJxmor16nks88+Y9q0aSxcuJCMjAxefPFFvvjiC3bv3k18fHyT/VeuXMkpp5zCU089xXnnncfHH3/MM888w8aNG+nfv79D5ywrKyMiIoLS0lLCw8PbFffOnfDyy8rFMDVVSfwqK5XKdWws/POf7k3oXX3+lo73229KBUKjUT6oBAQoF//ycuXDxrhxMHaskuz++adyMR8/vj4BXrFCee24cco2V8ZYXQ1//aUk0kYjREYqX8eOKfuAUs2wWpWKh9msxBIYqHzYqCssYDTWfxBp+F+DVluf2IeGwhelZzLJ+iv/1j3G/2kvR6er/0Cn1dYn1bbjRkRARgbMmqV8sNi/H95/X/nQlpSkxL9pk9JPD5QPVMYGrYI1NP7g1hINoNVZqer2J4UZ71LZ7U+0tSHEvzWTivLVVNT8CVgYiY55/v0507gFgIti/suW9AkMHKjEEhUF06a5P6E//u8QFKScPyfHsRisViuJoYlEBEa4N1AhTkKuuD6qcb7jrw+dDAeorTS1+L7i6PtQw/1KSmDjxsaJKyjv01qNctPV31+5VkZFQY+eUNPMe6vtmNnZcOSIklibzcr1xJa8W9r4yUyrafoavX99nKGh9SPjYuNgz27lb1VUBNVh2ZSO+ITSIV8SWJzMijf1DGUzJZpgzgi8hfWmzWBc1vjgfkMg4h0gyL7Jdn9Vo1GuhQkJkJam/P/h6muLs9cRR2SWZFJYVcj4LuPpFN7JNYELIYSDHL0+qp7MZ2RkMGLECF599VVAWeokNTWV22+/nTlz5jTZ//LLL6eyspLvv//evm3UqFEMHjyYhQsXOnROZz88WCzw9NNKIta3L6xbtwC/2m3oNTnK8cshKlK5kNtqhyWxMZj0Slfx4LIKgivK0eNHminOftwDfscwYSYwuhd+wUpJ21iSRW3FkUbntwJ790BxCVTHR1FVt4Z4mLGS2Joyyku19NUmMGSIclHN8iukBgOBkV3xC00EwFSRS03JwSbHCw9TzlEQGE65XwjbtkKgoYp0v1L89RB1NAmDQUmAK6OL0YTXkNS5M7sPp1BWBsF+RXRN2E10DBQVQm3dEPCAQOVOfUlAGMX6UIqLoFO0gVM6FaIB0k1x+NUNFMnRllCurSYgJAn/qDTl71BdytZVOxrFWFh3fJMFcgzBlARFEBoKZQUmuhrz8feDwKOx6Az+aLRQHVZGTVgl5ZVxlFq6U1kJVksNvZM32f+2mrr/sf1XUUoQh4kErPzAO0RgYJ5uPHl5aVATiBUwhFVgjKgAYwhVxSlgBYPJTEzn/QQHKUMOe/SAvfugtATCwsGo1XGwKJDqagjUg6awEqsV9EXh6KuUsY+G4CoM0WWYDYGUHetsjy88dQ9WfS0WfxMWfxOGyHKKB+/DEFNe/w/kdx1sMjMSiAVuqoYLDMrTVX6wIOYsHg6dQ5AmiV69YOhQ2H4ojx49TfzjCuWDoSPCAsIID1D+GzKYDeRX5qPVaEkKS7Lvk1+Zj8GsnNxihU8+hr17oUta/Yc/UP7mhzKhZ0+4floI0cGRAJgtZnIrcgFICU8hOSyZUH19IyYhhOv4YjLf8JpsMn1IecUWAqx70aBkxuVlyo3e7j2U99CagAD+3uNHURHEhZkIMdcCGhKKEwAoLgJtWiFd+hjZvyOO/KNRREXDtp2l6MPz7HdabR+ebDdey9Fj1vsr1x6dmcSAGqKiwf9APAmxWgYNhjy/Ejbtr6E4J5rK0lgKCkDnV0lgzBHMpuZv4FbgRxUBAPhhIRqlUhyUE4vWrFw3ayLLMIdWUVMeQXWp8nvo/KqJ6nIQC2bMfha0/mZCIo2YgiqpDKykOLiaiohqzEkF9g8ryaWw5i0ILodJwKYAIBAwAlWAJg6Croe4U0ET0CRWTd2NbWvdSLjevZWbG716wczrYgjWK59XKg2VlNSUEOgXSExwjP31R8uPcqKPpcdfR4I0kehR5jcYrNXsyiyid09/7rop3j7kPrciF7PF3OpxjxceEE5CaIIk8kIIVTh6fVR1mL3BYGDDhg3MnTvXvk2r1TJp0iRWrVrV7GtWrVrF7NmzG22bPHky33zzTYvnqa2tpbZubW1Q/jjOsM2vTk1VkpE//3yS9IuPsiXtBC+sS6YIVL4CTFDzeP3TAQ+CwQ/G/wgr1irbMi6FNf2aOVZsy6fRWODnx4C6Y0TOgdJAOGUl/PGLsm38ZFgx2oHjDVHC3lz3o/Xf9U91uhaOhEPgVtj/e91xR8Hys1qOraGDwIq6x7tegV6FyuN+t8GOWBh0ELY8o2wb0RvWObDqTUXd9+113//3EZy3F7DAqRfChjTongelryvPd4uD7Tc4Fu+59kcrePHHFdxR9/e99Cz4v34QXQpF/6nfv2CG8t1+qyDhxOeYvRKer/v/6I7x8PJoCK2Gimfq9ym8jv9v7/7joqry/4G/ZhhmBpFBDBAQIn9iJv4sCK2vtJI/Ild3+2zqh23dVmu31dSt1dzvVqY9WvFH2S8zv2bqVivRD7NNM8kETU1dwE/ibw0zQ/SDP2AAf8DM+f5xvDMMDDADMzAXXs/Hgwdw59xzz3vO3HvumXvvORANdbY1AJItQLLtI4AHvwCq/6PFesODeLZ3Es489DdoLp2C/+df4MIFebfFgdjfI6f6B7zzXuPlVDyZ8CSmJ0wHIK9ijF0/FrcE3ILdU3bb0vzlq79gf9F+xxW711Pu7sCOauB/t6dhcerzAIDL1y7jF//8BQDg5JMnEegf6HoBicineLo9Bhzb5I8/XgHD4N04OaiRle6q9b8AxHz7v2G/AUoCgZ4/ASdPyGU9k4ETya6Xq/Dm74u7gc6nAfwH6DED+GEY0O0YULhevn7bQODoeNfzvXTz9+53gKSz8u87HwZyo4CYs8DFd+SyiGjg2COu5wsARcHA90HA/zUD/wMAdwK4H0B+AJD1V8D4X4DeAjw62On6ArDNRW/BzTwA7KwGuh/8f3hoiJw95cuTX+Lv3/wdybHJWDl2pW390e+PxnXLdbjkZjuSIhahD8YDAH7WfIcd3f+E7yv6Y0LRR4i+2Q+f+PFEnCs/51q+N80ZOgez7p7l1jpERC2tVTvzJSUlsFgs6NLFsZfTpUsXHD161Ok6xcXFTtMXFxfXu52FCxdi/vz59b7uLrNZPtccWKNPobXCtXuia9DWfv5NyDwcbvVuSr61VvFT8rDal2mE+/mi1iq6m/lqauSLJpRXyVdZTclXa60ngRs0Na6eKO+DX+0v55uQr1UAtqfonJW3qflaa+QrnOerFfIkSVMjnZ+Q8QnYvzMC/KCHFRoAOzVD8VrQcpy0xsJ6YxdQbQSqOkBTGQ5LGeB3DdCbOkBrNUKnc30AIZPBhPBA+TjMxcqLMOqMCPAPsC0DgED/QBhv3j1itcpbVBu68m8VgAEmhzyU9SM6RvBZeSIV83R7DNRtkzVNaIc0qHHshfN2s6nt0NUaeWudtZtK3m6qqtFeaC118xW13gflyKkRN+8mEDdvzb+Zxg8y3F8KDSya3oDmdgBlQNVOAP8FWJ+SV+eryoEq++j2Tim3K9R4rt9g6Ww7rocYQ2DUGdHR0LHOsb6xY3ztdsSITgiEzCMAIdAJI/wsgTBUhyP85mciwD/A1o64qpOxEx/nIiKf16q32RcVFaFr167YvXs3kpLsl4nnzJmDnJwc7N27t846er0e69atw6RJk2zL3nrrLcyfPx/nz593uh1nVwJiYmKafFvf6dPA88/L575NJuDkyS2orr5me72iQp5c/Pd/A04e+2+2CxfkgHQmk3002prc3X59+Z05I0eDVwZX63jzzubycvuouBaLHODm4kX5PL0QclA35VnDmsvi4+0nW80tY0UFcPCgLNfly/Z0QUFyMDulM6qU0d9fNv6KwED7wHk1KbO0CWF/9r3mazeflEB1tYypJoNBnrQAcl2LRd7a2aMH8MtfAlu31i2/wSCf5z971p6Pch7T8J6pqfGjBdABWm0g/P074saNjtDpukKj8bPFp9XKbSnP+BuN8r0xGORo+qNGye1evAgsWCCfc/SG2vtObaWl3i8DEdXP27fZe7o9BhyPK5cv78DVq5ccXq/d3rjaho4caT9ul5TY20Nl/BWljfDzs/8dGCjbipAQeayNj5fLle0Dcts6nbyboKxM5qmM6wLYn5tvOntnWLbBGty4ARiNGgQHA/7+Wmg0figq8oPF4gd5u2BHAEE3fwcD0Lu3xZuPp/n7239bLPIxs+Rk+Wiep47rbEeIqD1QxW32oaGh8PPzq9MJP3/+PCIiIpyuExER4VZ6ADAYDDAY6j7b1VS33iqfA1Oeme/Z035fuRBywLihQ4GpU70zJYvVKk8s8vPlc2i1nzt2d/v15derlxxUqKxMduSVzrzFIq+CWCyyIR0zBtizRw48I4TsvA4bJtMWFcn8YmLkc9lKg9/cMgLy5EfZ5qVL9tHpzWb5hUNgoDyBAOQ2dDr5v14vO9nKyPDKSZky+m/N/4WwLwMcO/vK64D822CwjzisbCc8HBg7FpgzR6ZzVv7YWPsgfo1RylL7ZE8ZcEgIWcaao/bXHA1Z+a3Ep9PJqXxMJlnXgwfbpxP0htr7Tu3P7tmz3i8DEbUeT7fHQO3jyv9ptE10tQ2dPVsuy8+Xo8ErnW8/P3vbAdh/a7XyuG8yyQHZIiPlrC9Hjti3D8ht5+XJ8UEKCmReAQGyTWh+R95OKc+1a/bB+fr0kcvPnZNtemmp57antE06nfzC299f1k1pKTBkiOeO62xHiIjsWnhmaUd6vR5DhgzBtm3bbMusViu2bdvmcKW+pqSkJIf0AJCVlVVvem/QauXUaqGhstEvLZUNV2mp/D80FBg/3ntzq3p6+/XlV14uv9XW6eQVXeVEQ6O5eYub1j7PenS0THP9upzP1mqVv5Vl0dGyA+mpMpaVyS8bdDp5hV2nk+Uym+UJilJmvV526i0We5l1Orm+Tievyuh09mneqqvtnXyt1j5Kvckkf1dWyhMj5eRLuWtBq7VPlafM+x4UJK/K/PrXchv1lf/0aSAsTJ74APZR9Z3daahMQVSTMv2QciJlMNhj8ve3v8fXrzvGqdXK7XbtKk82vf25BVp/3yGitsfd44qr6Wset48dk+2dMhOKMhUcYD+e6vXyNSFk+xAdXffYqmxbOeaHhDhOQaeUrynvQW06nb09Mpnkl8sGgyxXQIC9/WsKpd1T1PyCW7kjLCxMvidhYZ49rrMdISKya/XR7D/88ENMnjwZK1euREJCAl599VVkZmbi6NGj6NKlC373u9+ha9euWLhwIQA5Nd3w4cORnp6O1NRUZGRk4B//+EeLT00HOJ+X/fbbZSPSWvPMN2f79eV39WrdeeZvuUWe2NScZ/6WW+xXyRta5skyKp3nqqq688wr26xvnvnQUPuXEOfOOZ9nvkcPebX/zBk5hVBZmcxHubofFibXKSqSHX3lynhUFDBuHPD4445x1ld+o1FOU3TsmCyrsldqtfI15Rb5GzfqzjOvPOOu1cqTw4AA+/R7gCzXlStyfSW90Sjjj42VJ3gt+bl19j609L5DRM6pcTR7hbvHFVfT10xXUCBHUVfaCmWeeZMJ6NxZ/m00ymnZGjq2Knnu3Sv/Limxf5GszDOv/A/UmGe+5pg6WifzzNe4m6zm3VfjxgEjRgDffy/juHBBtnmlpbLtdOWugJpz1+v1Mk5ArltVZS+bv7+Mf8AA4O67vXdcZztCRG2ZaqamA4A333wTS5YsQXFxMQYOHIjXX38diYmJAIDk5GTcdtttWLt2rS39Rx99hGeffRanT59Gr169sHjxYjzwwAMub8+TJw9Wq+zomc32OVxb8ttgT2+/vvxu3AA2bpQdzpgYeWKg09VNC7i2zJNljI6Wt9WVltqXBQfLE5h9++QJS1iYfDb8hx/k+h07yjTBwXJ9ZTTkc+fkM/gdOgD9+slbI7VaefX8+HF5kqWMGRAZKU9UAGD3bnmSV1kpb//r21fe1eAszvrKbzbLTntennyeXgiZf9++cr3jx2Usyl0D4eHyC4fKSnmCFRgo86uokL+Dbk7hZzbb35uSEvle9O4t81DStvTn1tn70BplICJHau7MA+4fV1xNXzOdwSBv8T57VnYgExLkl6U1j7uuHFuVPEtL5U9FhTzud+hg/3LYbJbPf3foIL98NZtluwYA/fvLx7j27QO+/VYuu/tuub2jR523RzXjUMawKS2VXyQfPy7/7t1blv3yZZlHSIg9Bo1GtiEmk7296dBBfsFRUiL/7tZNrhMc7P3jOtsRImqrVNWZb2ktfbJCRESkBmrvzBMREbUFrraP/P6SiIiIiIiISGXYmSciIiIiIiJSGXbmiYiIiIiIiFSGnXkiIiIiIiIilWFnnoiIiIiIiEhl2JknIiIiIiIiUhl25omIiIiIiIhURtfaBWgNQggAcv4+IiIikpR2UWknvY3tMRERUV2utsftsjNvNpsBADExMa1cEiIiIt9jNpsRHBzcItsB2B4TERE501h7rBEt9fW7D7FarSgqKkJQUBA0Go3H8i0rK0NMTAx++uknmEwmj+Xr6xh3+4m7PcYMtM+422PMAOM+c+YMNBoNoqKioNV6/0k8b7XHLaW9f17aU9yMuX3EDLTPuBmz78UshIDZbG60PW6XV+a1Wi2io6O9lr/JZPLJD4W3Me72oz3GDLTPuNtjzED7jTs4OLhF4/Z2e9xS2uvnpT3GzZjbj/YYN2P2La7cIccB8IiIiIiIiIhUhp15IiIiIiIiIpVhZ96DDAYD5s2bB4PB0NpFaVGMu/3E3R5jBtpn3O0xZoBxt7e4m6u9vm/tMW7G3H60x7gZs3q1ywHwiIiIiIiIiNSMV+aJiIiIiIiIVIadeSIiIiIiIiKVYWeeiIiIiIiISGXYmSciIiIiIiJSGXbm3XTp0iWkpaXBZDKhU6dOmDJlCsrLyxtM/+STTyIuLg4BAQG49dZbMWPGDJSWljqk02g0dX4yMjK8HU69li9fjttuuw1GoxGJiYnYt29fg+k/+ugj9OnTB0ajEfHx8di8ebPD60IIPP/884iMjERAQABSUlJw4sQJb4bgNndiXrVqFe69916EhIQgJCQEKSkpddL//ve/r1Ono0eP9nYYbnMn7rVr19aJyWg0OqRpa3WdnJzsdP9MTU21pVFDXe/YsQNjx45FVFQUNBoNPvvss0bXyc7OxuDBg2EwGNCzZ0+sXbu2Thp3jxUtyd2YP/30U9x///0ICwuDyWRCUlISvvrqK4c0L7zwQp267tOnjxejcJ+7cWdnZzv9jBcXFzuk8+W69hZv7Te+zFufH1+2cOFC3HXXXQgKCkJ4eDjGjx+PY8eONbpeY+c+vqwpMbtyDuDrVqxYgf79+8NkMtmO819++WWD66i5ngH3Y24L9Vxbeno6NBoNZs2a1WA6NdY1O/NuSktLw6FDh5CVlYUvvvgCO3bswOOPP15v+qKiIhQVFWHp0qUoKCjA2rVrsWXLFkyZMqVO2jVr1uDcuXO2n/Hjx3sxkvp9+OGHeOqppzBv3jzk5eVhwIABGDVqFC5cuOA0/e7duzFp0iRMmTIF+fn5GD9+PMaPH4+CggJbmsWLF+P111/H22+/jb179yIwMBCjRo3CtWvXWiqsBrkbc3Z2NiZNmoTt27djz549iImJwciRI/Hzzz87pBs9erRDna5fv74lwnGZu3EDgMlkcojpxx9/dHi9rdX1p59+6hBvQUEB/Pz88Jvf/MYhna/XdUVFBQYMGIDly5e7lL6wsBCpqam47777cODAAcyaNQtTp0516Nw25fPTktyNeceOHbj//vuxefNm5Obm4r777sPYsWORn5/vkO6OO+5wqOtvv/3WG8VvMnfjVhw7dswhrvDwcNtrvl7X3uKN/cbXeePz4+tycnIwbdo0fPfdd8jKykJVVRVGjhyJioqKetdx5dzHlzUlZqDxcwBfFx0djfT0dOTm5uI///kPfvGLX2DcuHE4dOiQ0/Rqr2fA/ZgB9ddzTfv378fKlSvRv3//BtOptq4Fuezw4cMCgNi/f79t2Zdffik0Go34+eefXc4nMzNT6PV6UVVVZVsGQGzYsMGTxW2yhIQEMW3aNNv/FotFREVFiYULFzpN//DDD4vU1FSHZYmJieKPf/yjEEIIq9UqIiIixJIlS2yvX7lyRRgMBrF+/XovROA+d2Ourbq6WgQFBYl169bZlk2ePFmMGzfO00X1KHfjXrNmjQgODq43v/ZQ18uWLRNBQUGivLzctkwNdV2TK8ebOXPmiDvuuMNh2YQJE8SoUaNs/zf3vWxJTT3G9u3bV8yfP9/2/7x588SAAQM8VzAvcyXu7du3CwDi8uXL9aZRU117i6f2GzXx1OdHbS5cuCAAiJycnHrTNHbuozauxNzYOYBahYSEiHfeecfpa22tnhUNxdyW6tlsNotevXqJrKwsMXz4cDFz5sx606q1rnll3g179uxBp06dcOedd9qWpaSkQKvVYu/evS7nU1paCpPJBJ1O57B82rRpCA0NRUJCAt59910IITxWdlfduHEDubm5SElJsS3TarVISUnBnj17nK6zZ88eh/QAMGrUKFv6wsJCFBcXO6QJDg5GYmJivXm2pKbEXFtlZSWqqqrQuXNnh+XZ2dkIDw9HXFwcnnjiCVy8eNGjZW+OpsZdXl6O2NhYxMTE1Plmtz3U9erVqzFx4kQEBgY6LPflum6KxvZrT7yXvs5qtcJsNtfZr0+cOIGoqCh0794daWlpOHPmTCuV0LMGDhyIyMhI3H///di1a5dteXuoa09pbL9py+r7/KiR8ihk7X2/prZW167EDDR8DqA2FosFGRkZqKioQFJSktM0ba2eXYkZaDv1PG3aNKSmptapQ2fUWtfszLuhuLi4zm1jOp0OnTt3dvnZsJKSErz44ot1bs1fsGABMjMzkZWVhYceegh//vOf8cYbb3is7K4qKSmBxWJBly5dHJZ36dKl3hiLi4sbTK/8difPltSUmGt75plnEBUV5XAQGD16NP75z39i27ZtWLRoEXJycjBmzBhYLBaPlr+pmhJ3XFwc3n33XWzcuBHvv/8+rFYrhg4dirNnzwJo+3W9b98+FBQUYOrUqQ7Lfb2um6K+/bqsrAxXr171yH7j65YuXYry8nI8/PDDtmWJiYm2x6VWrFiBwsJC3HvvvTCbza1Y0uaJjIzE22+/jU8++QSffPIJYmJikJycjLy8PACeOUa2F43tN21RY58ftbFarZg1axaGDRuGfv361ZuusXMfNXE15sbOAdTi4MGD6NixIwwGA/70pz9hw4YN6Nu3r9O0baWe3Ym5rdRzRkYG8vLysHDhQpfSq7WudY0nafvmzp2LRYsWNZjmyJEjzd5OWVkZUlNT0bdvX7zwwgsOrz333HO2vwcNGoSKigosWbIEM2bMaPZ2ybvS09ORkZGB7OxshwFCJk6caPs7Pj4e/fv3R48ePZCdnY0RI0a0RlGbLSkpyeGb3KFDh+L222/HypUr8eKLL7ZiyVrG6tWrER8fj4SEBIflbbGu27t//etfmD9/PjZu3OjwJe6YMWNsf/fv3x+JiYmIjY1FZmam07FQ1CAuLg5xcXG2/4cOHYpTp05h2bJleO+991qxZKQGbe3zM23aNBQUFPjcWBje5GrMbeUcIC4uDgcOHEBpaSk+/vhjTJ48GTk5OfV2btsCd2JuC/X8008/YebMmcjKylL94H2N4ZV5AE8//TSOHDnS4E/37t0RERFRZ7Cf6upqXLp0CREREQ1uw2w2Y/To0QgKCsKGDRvg7+/fYPrExEScPXsW169fb3Z87ggNDYWfnx/Onz/vsPz8+fP1xhgREdFgeuW3O3m2pKbErFi6dCnS09OxdevWRgfW6N69O0JDQ3Hy5Mlml9kTmhO3wt/fH4MGDbLF1JbruqKiAhkZGS512Hytrpuivv3aZDIhICDAI58fX5WRkYGpU6ciMzOz0VvzOnXqhN69e6u6rp1JSEiwxdSW69rTGttv2ouanx81mT59Or744gts374d0dHRDaZt7NxHLdyJubba5wBqodfr0bNnTwwZMgQLFy7EgAED8NprrzlN21bq2Z2Ya1NjPefm5uLChQsYPHgwdDoddDodcnJy8Prrr0On0zm9c1Ktdc3OPICwsDD06dOnwR+9Xo+kpCRcuXIFubm5tnW/+eYbWK1WJCYm1pt/WVkZRo4cCb1ej88//9ylb4gOHDiAkJAQGAwGj8ToKr1ejyFDhmDbtm22ZVarFdu2bav32ZqkpCSH9ACQlZVlS9+tWzdEREQ4pCkrK8PevXsbfF6npTQlZkCO2v7iiy9iy5YtDuMo1Ofs2bO4ePEiIiMjPVLu5mpq3DVZLBYcPHjQFlNbrWtATldy/fp1/Pa3v210O75W103R2H7tic+PL1q/fj0effRRrF+/3mH6wfqUl5fj1KlTqq5rZw4cOGCLqa3WtTc0tt+0FzU/P2oghMD06dOxYcMGfPPNN+jWrVuj66i9rpsSc221zwHUymq11nvxTO31XJ+GYq5NjfU8YsQIHDx4EAcOHLD93HnnnUhLS8OBAwfg5+dXZx3V1nUrD8CnOqNHjxaDBg0Se/fuFd9++63o1auXmDRpku31s2fPiri4OLF3714hhBClpaUiMTFRxMfHi5MnT4pz587Zfqqrq4UQQnz++edi1apV4uDBg+LEiRPirbfeEh06dBDPP/98q8SYkZEhDAaDWLt2rTh8+LB4/PHHRadOnURxcbEQQohHHnlEzJ0715Z+165dQqfTiaVLl4ojR46IefPmCX9/f3Hw4EFbmvT0dNGpUyexceNG8f3334tx48aJbt26iatXr7Z4fM64G3N6errQ6/Xi448/dqhTs9kshJCjZ/71r38Ve/bsEYWFheLrr78WgwcPFr169RLXrl1rlRidcTfu+fPni6+++kqcOnVK5ObmiokTJwqj0SgOHTpkS9PW6lpxzz33iAkTJtRZrpa6NpvNIj8/X+Tn5wsA4pVXXhH5+fnixx9/FEIIMXfuXPHII4/Y0v/www+iQ4cOYvbs2eLIkSNi+fLlws/PT2zZssWWprH3srW5G/MHH3wgdDqdWL58ucN+feXKFVuap59+WmRnZ4vCwkKxa9cukZKSIkJDQ8WFCxdaPL76uBv3smXLxGeffSZOnDghDh48KGbOnCm0Wq34+uuvbWl8va69xRv7ja/zxufH1z3xxBMiODhYZGdnO+z7lZWVtjRNOffxZU2J2ZVzAF83d+5ckZOTIwoLC8X3338v5s6dKzQajdi6dasQou3VsxDux9wW6tmZ2qPZt5W6ZmfeTRcvXhSTJk0SHTt2FCaTSTz66KO2DpwQQhQWFgoAYvv27UII+5Qtzn4KCwuFEHJ6u4EDB4qOHTuKwMBAMWDAAPH2228Li8XSChFKb7zxhrj11luFXq8XCQkJ4rvvvrO9Nnz4cDF58mSH9JmZmaJ3795Cr9eLO+64Q2zatMnhdavVKp577jnRpUsXYTAYxIgRI8SxY8daIhSXuRNzbGys0zqdN2+eEEKIyspKMXLkSBEWFib8/f1FbGyseOyxx3zyxNeduGfNmmVL26VLF/HAAw+IvLw8h/zaWl0LIcTRo0cFAFvDV5Na6rq+Y5ES6+TJk8Xw4cPrrDNw4ECh1+tF9+7dxZo1a+rk29B72drcjXn48OENphdCTjMWGRkp9Hq96Nq1q5gwYYI4efJkywbWCHfjXrRokejRo4cwGo2ic+fOIjk5WXzzzTd18vXluvYWb+03vsxbnx9fVt95Ws26a8q5jy9rSsyunAP4uj/84Q8iNjZW6PV6ERYWJkaMGOHQtre1ehbC/ZjbQj07U7sz31bqWiNEK8x/RkRERERERERNxmfmiYiIiIiIiFSGnXkiIiIiIiIilWFnnoiIiIiIiEhl2JknIiIiIiIiUhl25omIiIiIiIhUhp15IiIiIiIiIpVhZ56IiIiIiIhIZdiZJyIiIiIiIlIZduaJiIiIiIiIVIadeSIiIiKidshqtaJPnz74+9//7rB806ZN0Ov1+PTTT1upZETkCnbmiahJkpOTMWvWLI/ne/HiRYSHh+P06dNurTdx4kS8/PLLHi8PERFRW6XVavG3v/0Ny5cvR2lpKQAgLy8PEyZMwKJFi/DrX/+6lUtIRA1hZ56IfMpLL72EcePG4bbbbgPg+lWDZ599Fi+99JLtZISIiIgal5aWhs6dO+PNN9/EmTNn8OCDD+LRRx/FX/7yl9YuGhE1gp15IvIZlZWVWL16NaZMmWJb5upVg379+qFHjx54//33W6XsREREaqTT6fDMM8/g1VdfxQMPPIC77roLr732WmsXi4hcwM48ETXb9evXMWPGDISHh8NoNOKee+7B/v37HdKYzWakpaUhMDAQkZGRWLZsWZ1b9Tdv3gyDwYC7777bYV1XrxqMHTsWGRkZXouTiIioLUpLS0N5eTk0Gg3Wr18PrZZdBCI14J5KRM02Z84cfPLJJ1i3bh3y8vLQs2dPjBo1CpcuXbKleeqpp7Br1y58/vnnyMrKws6dO5GXl+eQz86dOzFkyJA6+bt61SAhIQH79u3D9evXPR8kERFRGzV9+nQAQElJCTvyRCrCvZWImqWiogIrVqzAkiVLMGbMGPTt2xerVq1CQEAAVq9eDUBelV+3bh2WLl2KESNGoF+/flizZg0sFotDXj/++COioqKcbseVqwZRUVG4ceMGiouLPR8oERFRG/Tcc89h06ZN+O6771BdXW1ru4nI97EzT0TNcurUKVRVVWHYsGG2Zf7+/khISMCRI0cAAD/88AOqqqqQkJBgSxMcHIy4uDiHvK5evQqj0eh0O65cNQgICAAgn70nIiKihq1atQovv/wy/v3vf2PAgAGYNWsWFi9ejKqqqtYuGhG5gJ15IvIZoaGhuHz5cp3lrl41UG7rDwsL82o5iYiI1G7z5s2YPn06PvjgA9tYNdOnT0dpaSnee++9Vi4dEbmCnXkiapYePXpAr9dj165dtmVVVVXYv38/+vbtCwDo3r07/P39HQbFKy0txfHjxx3yGjRoEA4fPuywzJ2rBgUFBYiOjkZoaKgnQyQiImpTcnNz8fDDD2Px4sX41a9+ZVseHByMGTNmID09vc6jcETke9iZJ6JmCQwMxBNPPIHZs2djy5YtOHz4MB577DFUVlbappgLCgrC5MmTMXv2bGzfvh2HDh3ClClToNVqodFobHmNGjUKhw4dsl2dd/eqwc6dOzFy5MgWiJqIiEi9hgwZgvLycsycObPOawsWLMDx48fh5+fXCiUjInewM09EzZaeno6HHnoIjzzyCAYPHoyTJ0/iq6++QkhIiC3NK6+8gqSkJDz44INISUnBsGHDcPvttzs8Ix8fH4/BgwcjMzPT7asG165dw2effYbHHnusZYImIiIiImpFGiGEaO1CEFH7U1FRga5du+Lll1+2XcEHgE2bNmH27NkoKChwa3qcFStWYMOGDdi6das3iktERERE5FN0rV0AImof8vPzcfToUSQkJKC0tBQLFiwAAIwbN84hXWpqKk6cOIGff/4ZMTExLufv7++PN954w6NlJiIiIiLyVbwyT0QtIj8/H1OnTsWxY8eg1+sxZMgQvPLKK4iPj2/tohERERERqQ4780REREREREQqwwHwiIiIiIiIiFSGnXkiIiIiIiIilWFnnoiIiIiIiEhl2JknIiIiIiIiUhl25omIiIiIiIhUhp15IiIiIiIiIpVhZ56IiIiIiIhIZdiZJyIiIiIiIlIZduaJiIiIiIiIVIadeSIiIiIiIiKV+f+O/rmq+4CLRwAAAABJRU5ErkJggg==",
      "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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",
      "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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