diff --git a/analysis_and_scripts/Bachelors_thesis_analyses.ipynb b/analysis_and_scripts/Bachelors_thesis_analyses.ipynb
index 75cae70ac4970b2707a5fddfb83f8adb401aba2f..f5d667e35fdad6ff29aaea256fc983d46096b3f0 100644
--- a/analysis_and_scripts/Bachelors_thesis_analyses.ipynb
+++ b/analysis_and_scripts/Bachelors_thesis_analyses.ipynb
@@ -530,7 +530,7 @@
        "      <th>c_jail_in</th>\n",
        "      <td>6172</td>\n",
        "      <td>6172</td>\n",
-       "      <td>2013-10-20 09:56:04</td>\n",
+       "      <td>2013-02-24 03:25:29</td>\n",
        "      <td>1</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -585,7 +585,7 @@
        "decile_score             6172    NaN                  NaN   NaN    4.4185   \n",
        "is_recid                 6172    NaN                  NaN   NaN  0.484446   \n",
        "two_year_recid           6172    NaN                  NaN   NaN   0.45512   \n",
-       "c_jail_in                6172   6172  2013-10-20 09:56:04     1       NaN   \n",
+       "c_jail_in                6172   6172  2013-02-24 03:25:29     1       NaN   \n",
        "c_jail_out               6172   6161  2013-09-14 05:58:00     3       NaN   \n",
        "length_of_stay           6172    NaN                  NaN   NaN   14.6228   \n",
        "\n",
@@ -628,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -761,27 +761,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "1     1286\n",
-       "2      822\n",
-       "4      666\n",
-       "3      647\n",
-       "5      582\n",
-       "6      529\n",
-       "7      496\n",
-       "9      420\n",
-       "8      420\n",
-       "10     304\n",
-       "Name: decile_score, dtype: int64"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1     1286\n",
+      "2      822\n",
+      "4      666\n",
+      "3      647\n",
+      "5      582\n",
+      "6      529\n",
+      "7      496\n",
+      "9      420\n",
+      "8      420\n",
+      "10     304\n",
+      "Name: decile_score, dtype: int64\n"
+     ]
     }
    ],
    "source": [
@@ -791,20 +789,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "25 - 45            3532\n",
-       "Less than 25       1347\n",
-       "Greater than 45    1293\n",
-       "Name: age_cat, dtype: int64"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "25 - 45            3532\n",
+      "Less than 25       1347\n",
+      "Greater than 45    1293\n",
+      "Name: age_cat, dtype: int64\n"
+     ]
     }
    ],
    "source": [
@@ -1494,52 +1490,52 @@
        "    <tr>\n",
        "      <th>acceptanceRate_R</th>\n",
        "      <td>50000.0</td>\n",
-       "      <td>0.478235</td>\n",
-       "      <td>0.230644</td>\n",
-       "      <td>0.103756</td>\n",
-       "      <td>0.264643</td>\n",
-       "      <td>0.473985</td>\n",
-       "      <td>0.647587</td>\n",
-       "      <td>0.890699</td>\n",
+       "      <td>0.488702</td>\n",
+       "      <td>0.235524</td>\n",
+       "      <td>0.100091</td>\n",
+       "      <td>0.267867</td>\n",
+       "      <td>0.476594</td>\n",
+       "      <td>0.677394</td>\n",
+       "      <td>0.891089</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>X</th>\n",
        "      <td>50000.0</td>\n",
-       "      <td>-0.003875</td>\n",
-       "      <td>0.996715</td>\n",
-       "      <td>-4.659953</td>\n",
-       "      <td>-0.671782</td>\n",
-       "      <td>-0.001726</td>\n",
-       "      <td>0.668077</td>\n",
-       "      <td>3.831790</td>\n",
+       "      <td>0.003954</td>\n",
+       "      <td>1.000866</td>\n",
+       "      <td>-4.233165</td>\n",
+       "      <td>-0.670520</td>\n",
+       "      <td>0.006191</td>\n",
+       "      <td>0.674039</td>\n",
+       "      <td>4.168118</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Z</th>\n",
        "      <td>50000.0</td>\n",
-       "      <td>0.006964</td>\n",
-       "      <td>0.998001</td>\n",
-       "      <td>-4.852118</td>\n",
-       "      <td>-0.666258</td>\n",
-       "      <td>0.004730</td>\n",
-       "      <td>0.679477</td>\n",
-       "      <td>4.241772</td>\n",
+       "      <td>0.006351</td>\n",
+       "      <td>0.995652</td>\n",
+       "      <td>-4.326887</td>\n",
+       "      <td>-0.666230</td>\n",
+       "      <td>0.005996</td>\n",
+       "      <td>0.675288</td>\n",
+       "      <td>4.055538</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>W</th>\n",
        "      <td>50000.0</td>\n",
-       "      <td>0.010863</td>\n",
-       "      <td>0.996944</td>\n",
-       "      <td>-4.029138</td>\n",
-       "      <td>-0.666574</td>\n",
-       "      <td>0.012306</td>\n",
-       "      <td>0.679578</td>\n",
-       "      <td>4.285856</td>\n",
+       "      <td>0.001356</td>\n",
+       "      <td>0.996749</td>\n",
+       "      <td>-4.181155</td>\n",
+       "      <td>-0.674346</td>\n",
+       "      <td>0.000271</td>\n",
+       "      <td>0.674515</td>\n",
+       "      <td>3.995123</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>result_Y</th>\n",
        "      <td>50000.0</td>\n",
-       "      <td>0.496500</td>\n",
-       "      <td>0.499993</td>\n",
+       "      <td>0.498120</td>\n",
+       "      <td>0.500001</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
@@ -1549,19 +1545,19 @@
        "    <tr>\n",
        "      <th>probabilities_T</th>\n",
        "      <td>50000.0</td>\n",
-       "      <td>0.500794</td>\n",
-       "      <td>0.279762</td>\n",
-       "      <td>-0.335627</td>\n",
-       "      <td>0.276723</td>\n",
-       "      <td>0.501317</td>\n",
-       "      <td>0.723352</td>\n",
-       "      <td>1.295719</td>\n",
+       "      <td>0.502285</td>\n",
+       "      <td>0.279220</td>\n",
+       "      <td>-0.328027</td>\n",
+       "      <td>0.278186</td>\n",
+       "      <td>0.501094</td>\n",
+       "      <td>0.724810</td>\n",
+       "      <td>1.412650</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>decision_T</th>\n",
        "      <td>50000.0</td>\n",
-       "      <td>0.477260</td>\n",
-       "      <td>0.499488</td>\n",
+       "      <td>0.487680</td>\n",
+       "      <td>0.499853</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
@@ -1575,22 +1571,22 @@
       "text/plain": [
        "                    count       mean        std       min        25%  \\\n",
        "judgeID_J         50000.0  49.500000  28.866359  0.000000  24.750000   \n",
-       "acceptanceRate_R  50000.0   0.478235   0.230644  0.103756   0.264643   \n",
-       "X                 50000.0  -0.003875   0.996715 -4.659953  -0.671782   \n",
-       "Z                 50000.0   0.006964   0.998001 -4.852118  -0.666258   \n",
-       "W                 50000.0   0.010863   0.996944 -4.029138  -0.666574   \n",
-       "result_Y          50000.0   0.496500   0.499993  0.000000   0.000000   \n",
-       "probabilities_T   50000.0   0.500794   0.279762 -0.335627   0.276723   \n",
-       "decision_T        50000.0   0.477260   0.499488  0.000000   0.000000   \n",
+       "acceptanceRate_R  50000.0   0.488702   0.235524  0.100091   0.267867   \n",
+       "X                 50000.0   0.003954   1.000866 -4.233165  -0.670520   \n",
+       "Z                 50000.0   0.006351   0.995652 -4.326887  -0.666230   \n",
+       "W                 50000.0   0.001356   0.996749 -4.181155  -0.674346   \n",
+       "result_Y          50000.0   0.498120   0.500001  0.000000   0.000000   \n",
+       "probabilities_T   50000.0   0.502285   0.279220 -0.328027   0.278186   \n",
+       "decision_T        50000.0   0.487680   0.499853  0.000000   0.000000   \n",
        "\n",
        "                        50%        75%        max  \n",
        "judgeID_J         49.500000  74.250000  99.000000  \n",
-       "acceptanceRate_R   0.473985   0.647587   0.890699  \n",
-       "X                 -0.001726   0.668077   3.831790  \n",
-       "Z                  0.004730   0.679477   4.241772  \n",
-       "W                  0.012306   0.679578   4.285856  \n",
+       "acceptanceRate_R   0.476594   0.677394   0.891089  \n",
+       "X                  0.006191   0.674039   4.168118  \n",
+       "Z                  0.005996   0.675288   4.055538  \n",
+       "W                  0.000271   0.674515   3.995123  \n",
        "result_Y           0.000000   1.000000   1.000000  \n",
-       "probabilities_T    0.501317   0.723352   1.295719  \n",
+       "probabilities_T    0.501094   0.724810   1.412650  \n",
        "decision_T         0.000000   1.000000   1.000000  "
       ]
      },
@@ -1601,8 +1597,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0    26137\n",
-      "1    23863\n",
+      "0    25616\n",
+      "1    24384\n",
       "Name: decision_T, dtype: int64\n"
      ]
     },
@@ -1639,13 +1635,13 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0.0</th>\n",
-       "      <td>20083</td>\n",
-       "      <td>5092</td>\n",
+       "      <td>19686</td>\n",
+       "      <td>5408</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1.0</th>\n",
-       "      <td>6054</td>\n",
-       "      <td>18771</td>\n",
+       "      <td>5930</td>\n",
+       "      <td>18976</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1654,8 +1650,8 @@
       "text/plain": [
        "decision_T      0      1\n",
        "result_Y                \n",
-       "0.0         20083   5092\n",
-       "1.0          6054  18771"
+       "0.0         19686   5408\n",
+       "1.0          5930  18976"
       ]
      },
      "metadata": {},
@@ -1664,7 +1660,7 @@
    ],
    "source": [
     "# Set seed for reproducibility\n",
-    "npr.seed(0)\n",
+    "npr.seed(1)\n",
     "\n",
     "def generateData(nJudges_M=100,\n",
     "                 nSubjects_N=500,\n",
@@ -1747,8 +1743,8 @@
      "text": [
       "(25000, 8)\n",
       "(25000, 8)\n",
-      "(11866, 8)\n",
-      "(11997, 8)\n"
+      "(12110, 8)\n",
+      "(12274, 8)\n"
      ]
     },
     {
@@ -1782,11 +1778,11 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0.0</th>\n",
-       "      <td>2495</td>\n",
+       "      <td>2678</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1.0</th>\n",
-       "      <td>9371</td>\n",
+       "      <td>9432</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1795,8 +1791,8 @@
       "text/plain": [
        "decision_T     1\n",
        "result_Y        \n",
-       "0.0         2495\n",
-       "1.0         9371"
+       "0.0         2678\n",
+       "1.0         9432"
       ]
      },
      "execution_count": 18,
@@ -1945,7 +1941,7 @@
     "**Constructing $\\mathcal{M}_0$, preliminary ideas:**\n",
     "\n",
     "* Approximate $P(X=x)$ with frequencies (makes independence assumption, make variables factors first)\n",
-    "* Construct Bayesian network.\n",
+    "* Construct Bayesian network using some well-known algorithm.\n",
     "\n",
     "Functions:\n",
     "\n",
@@ -1955,7 +1951,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 20,
    "metadata": {
     "scrolled": false
    },
@@ -1974,7 +1970,7 @@
     "    y_cols = String, name of column containgn the result variable\n",
     "    x_model = model predicting probability of given combination of private features\n",
     "    y_model = model predicting probability of recidivism given private features\n",
-    "    leniency_r = float, leniency level between .0.0 and 1.0\n",
+    "    leniency_r = float, leniency level between 0.0 and 1.0\n",
     "    '''\n",
     "    probability = 0\n",
     "\n",
@@ -1997,10 +1993,10 @@
     "    return probability\n",
     "\n",
     "\n",
-    "def f(x, model):\n",
+    "def f(x, model, failure_value):\n",
     "    '''\n",
-    "    Probability of recidivism (negative event) given personal properties (x)\n",
-    "    and predictive model (model).\n",
+    "    Returns the probability of negative event (e.g. recidivism) given personal \n",
+    "    properties (x), predictive model (model) and value for failure.\n",
     "    '''\n",
     "    if x.ndim == 1:\n",
     "        # if x is vector, transform to column matrix.\n",
@@ -2008,28 +2004,30 @@
     "    else:\n",
     "        f_values = model.predict_proba(x)\n",
     "\n",
-    "    return f_values[:, 0]\n",
+    "    return f_values[:, model.classes_ == failure_value].flatten()\n",
     "\n",
     "\n",
-    "def ep(r, df, result_col, feature_cols, model):\n",
+    "def ep(r, df, result_col, feature_cols, model, failure_value):\n",
     "    '''\n",
     "    Returns:\n",
     "    Empirical performance, i.e. percentage of recidivists. \n",
     "    \n",
     "    Parameters:\n",
-    "    r = leniency rate\n",
+    "    r = leniency rate(s)\n",
     "    df = test data, pandas DataFrame\n",
     "    result_col = String (list), name of column containing the binarized results.\n",
     "    feature_cols = String (list), name of columns containge individual features.\n",
     "    model = trained sklearn classifier    \n",
+    "    failure_value = value obtained from the model.classes_ representing the \n",
+    "    unwanted event label (usually 0 or 1).\n",
     "    '''\n",
     "    rates = np.zeros_like(r)\n",
     "    for i in range(len(rates)):\n",
-    "        rates[i] = np.mean((df[result_col] == 0) &\n",
-    "                           (f(df[feature_cols], model) < r[i]))\n",
+    "        rates[i] = np.mean((df[result_col] == failure_value) &\n",
+    "                           (f(df[feature_cols], model, failure_value) < r[i]))\n",
     "    return rates\n",
     "\n",
-    "def gp(r, df, feature_cols, y_model, x_model):\n",
+    "def gp(r, df, feature_cols, y_model, x_model, failure_value):\n",
     "    '''\n",
     "    Returns:\n",
     "    Generalized performance\n",
@@ -2040,8 +2038,10 @@
     "    feature_cols = String (list), name of columns containing individual features.\n",
     "    y_model = trained sklearn classifier to predict response\n",
     "    x_model = model of P(X=x)\n",
+    "    failure_value = value obtained from the model.classes_ representing the \n",
+    "    unwanted event label.\n",
     "    '''\n",
-    "    preds = f(df[feature_cols], y_model)\n",
+    "    preds = f(df[feature_cols], y_model, failure_value)\n",
     "    \n",
     "    return np.sum(preds * (preds < r) * x_model(df[feature_cols]))"
    ]
@@ -2063,7 +2063,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2077,17 +2077,24 @@
     "label_probs_logreg = logreg.predict_proba(test.X.values.reshape(-1, 1))\n",
     "test = test.assign(B_prob_0_logreg=label_probs_logreg[:, 0])\n",
     "\n",
+    "label_probs_logreg = logreg.predict_proba(test_labeled.X.values.reshape(-1, 1))\n",
+    "test_labeled = test_labeled.assign(B_prob_0_logreg=label_probs_logreg[:, 0])\n",
+    "test_labeled = test_labeled.assign(B_prob_1_logreg=label_probs_logreg[:, 1])\n",
+    "\n",
     "########\n",
     "\n",
     "# instantiate the model (using the default parameters)\n",
-    "forest = RandomForestClassifier(n_estimators=300, max_depth=5, random_state=0)\n",
+    "forest = RandomForestClassifier(n_estimators=400, max_depth=8, random_state=0)\n",
     "\n",
     "# fit, reshape X to be of shape (n_samples, n_features)\n",
     "forest = forest.fit(train_labeled.X.values.reshape(-1, 1), train_labeled.result_Y)\n",
     "\n",
     "# predict probabilities and attach to data\n",
     "label_probs_forest = forest.predict_proba(test.X.values.reshape(-1, 1))\n",
-    "test = test.assign(B_prob_0_forest=label_probs_forest[:, 0])"
+    "test = test.assign(B_prob_0_forest=label_probs_forest[:, 0])\n",
+    "\n",
+    "label_probs_forest = forest.predict_proba(test_labeled.X.values.reshape(-1, 1))\n",
+    "test_labeled = test_labeled.assign(B_prob_0_forest=label_probs_forest[:, 0])"
    ]
   },
   {
@@ -2101,14 +2108,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 22,
    "metadata": {
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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0aMCsWbNy3Hb+triclC1bNvOzt7c3aWlpObYrV64c3t7egGsq9Mcee4yEhARq1arFqFGjSE1NzfU4l5JTn/OzxOU1W172mdv67BYuXEh8fDzz58/n5ZdfZuPGjfk+loiIiIhIXhXpe5SstV9aa+taa+tYa//uXjcypyLJWhvlHk06v/x3d79brbX/KcqcRaV169acOXOGiRMnZq5bvXo1y5Yto1WrVsyYMYP09HQOHTpEfHw8TZrkPrFfpUqVOH78eI7bzr8TqEqVKpw4cSKzQLv66qupWbMm8+bNA+DMmTOcOnUq1321atWKjz/+GHDdklelShWuvvrqXLO1adOGPXv2XHJ706ZNWbZsGYcPHyY9PZ1PP/2UyMhImjRpwrJlyzh69ChpaWnMnj37or4ZGRns2rWL6OhoxowZw7Fjxzhx4sQlz+FS5ywiIiIikldFWiiVdsYY5s6dy+LFi6lTpw4NGjRg1KhRVK9endjYWIKDg2nYsCGtW7dmzJgxVKtWLdf9DRgwgDvvvDNzMoes/P396d+/P0FBQcTExBAeHp65berUqbz55psEBwfTvHlz9u/fT3BwMD4+PjRs2JA33njjgn2NGjWKhIQEgoODGT58OB9++GGuuTIyMti+fTuVK1e+ZJsbbriBf/zjH0RHR2dOsHD33XdTo0YNRowYQdOmTWnbti3169fHz8/vgr7p6en07NmToKAgGjVqxODBg/H396dLly7MnTs3czKHrHI6ZxERERGRvDIl5TalsLAwm/19PZs3b6ZevXoOJSo9NmzYwKRJkxg7dmyB+p84cYKKFSuSlpZGbGwsffv2zXy+qCjp+yEiIiJS+hhjEq21YZdrpxEluWKBgYEFLpLANYIVEhJCYGAgtWvXJiYmphDTiYiIiIhjzp2G3y+avLpYKMrpwUXy5Py7j0RERESkBElPg5kPw4EN8PgPUKaC04nyRSNKIiIiIiJSuKyFL56Arf+B258qdkUSqFASEREREZHCtvh5WPcxRI2A8H5OpykQFUoiIiIiIlJ4Vv4Lvn0LmgyAyKFOpykwFUoiIiIiIlI41k6DxSMhsCt0eBWMcTpRgalQKmIBAQEkJSURFRUFuF7g2rlz5wvaPPTQQ5kviHXS3r17uffee/PVZ8qUKQwaNKhQc0RFRZGUlERAQECh7ldEREREitDPC2H+X6BOa4iZAF7Fu9Qo3umlUFWvXt0jCjYRERERKWaSVrhmuKseCvdNBZ8yTie6YiqUiljVqlXx9vamcuXKeWofEBDA4cOHAUhISMgciRo1ahR9+vShXbt2BAQEMGfOHIYOHUpQUBAdOnTg3LlzALz00kuEh4cTGBjIgAEDOP9C4aioKIYNG0aTJk2oW7cuy5cvv+jYSUlJBAYGAhePFHXu3JmlS5cCMHnyZOrWrUtkZCQrV67MbLNjxw4iIiIIDw9n5MiRVKxYMXPba6+9Rnh4OMHBwbzwwgsAnDx5kk6dOtGwYUMCAwOZMWMGAJUrV8bb25uqVavm6ZqJiIiIiIP2/QifPgDXBECPmVC24mW7FAel5z1K/xkO+38q3H1WC4I7R+faZPXq1QDMmTMnc93y5csJCQnJXP7tt98uuh0vJzt27CAuLo5NmzbRrFkzZs+ezZgxY4iNjWXhwoXExMQwaNAgRo4cCUCvXr1YsGABXbp0ASAtLY1Vq1bx5Zdf8uKLL7JkyZJ8n/K+fft44YUXSExMxM/Pj+joaBo1agTAk08+yZNPPskDDzzAhAkTMvssWrSIbdu2sWrVKqy13HXXXcTHx3Po0CGqV6/OwoULAUhJSbngWp2/diIiIiLioY78AtO6QtmrodccuCpvgwPFgUaUHNCyZUvWrVuX+XPXXXflqd+dd96Jr68vQUFBpKen06FDBwCCgoJISkoCIC4ujqZNmxIUFMQ333zDxo0bM/vfc889ADRu3DizfX798MMPREVFUbVqVcqUKcP999+fue27776jW7duADz44IOZ6xctWsSiRYto1KgRoaGh/Pzzz2zbto2goCCWLFnCsGHDWL58OX5+fgXKJCIiIiIOOL4fPoqBjDToNRf8ajqdqFCVnhGly4z8eAofHx8yMjIASE1NvWBb2bJlAfDy8sLX1xfjnkXEy8uLtLQ0UlNTeeyxx0hISKBWrVqMGjXqgn2c7+/t7U1aWlqec2TPYvI5e4m1lmeffZZHH330om2JiYl8+eWXPPvss7Rr1y5zNExEREREPNjpY66RpJOHoc8XULWu04kKnUaUPExAQACJiYkAzJ49O199zxczVapU4cSJE1c0MUNAQADr1q0jIyODXbt2sWrVKgCaNm3K0qVLSU5O5ty5c8ycOTOzT0RERGbm6dOnZ65v3749kyZN4sSJEwDs2bOHgwcPsnfvXq666ip69uzJM888w5o1awqcV0RERET+IOdOu55JOrQFun8MNRs7nahIlJ4RpWLihRde4JFHHuGVV16hadOm+err7+9P//79CQoKIiAggPDw8Hwf//xoUYsWLahduzZBQUEEBgYSGhoKwA033MCoUaNo1qwZN9xwA6GhoaSnpwMwbtw4evbsyT//+U86deqUeStdu3bt2Lx5M82aNQOgYsWKTJs2je3btzNkyJDMEbJ3330333lFRERE5A+Unuaa3e637+DeSVAn2ulERcacnxWtuAsLC7MJCQkXrNu8eTP16tVzKFHxk5iYyNNPP82yZcsK1P/UqVOUL18eYwzTp0/n008/5fPPPy/klIVH3w8RERGRfLAW5j0G6z+BTv+E8H5OJyoQY0yitTbscu00oiSAayryBx98kNGjC/4sV2JiIoMGDcJai7+/P5MmTSrEhCIiIiLiqMXPu4qkqBHFtkjKDxVKAkBYWBhbt269on20bNmS9evXF1IiEREREfEYK8bBt29BkwEQOdTpNH8ITeYgIiIiIiKXtmYqLHkBArtCh1chnzMgF1cqlEREREREJGebF8AXT0CdNhAzAbxKT/lQes5URERERETyLmkFzOoL1UPh/qngU8bpRH8oFUoiIiIiInKhfetd70q6JgB6zIQyFZxO9IdToVSEkpOTCQkJISQkhGrVqlGjRo3M5bNnzxbacZYsWYKfn1/mvkNCQoiLi8v3ftLS0vD39y9wjkmTJrF///7M5YcffpgtW7YUeH8iIiIi4oDkHTCtK5S9GnrNgasqO53IEZr1rghde+21rFu3DoBRo0ZRsWJFnnnmmQvaWGux1uJ1hfd7RkdHM2/evCvax5WaNGkSoaGhVKtWDYDJkyc7mkdERERE8un4fpgaCxnp8NBc8KvpdCLHaETJAdu3bycwMJCBAwcSGhrKrl27LhjJmT59Ov36ueamP3DgAPfccw9hYWE0adKE77//Ps/H+etf/8p7772Xufzcc8/xr3/9i99//53WrVsTGhpKcHAwCxYsuKjvkiVLiImJyVweOHAg06ZNA+CFF14gPDw88xystcyYMYN169Zx//33Z46Y3X777ZmF4rRp0wgKCiIwMJARI0YA/xvBGj58OA0bNqRZs2YcPHgwH1dSRERERArN6WOukaSTh6HnLKha1+lEjio1I0qvrnqVn4/8XKj7vK3ybQxrMqxAfTdt2sTkyZOZMGECaWlpl2z3xBNPMHToUCIiIkhKSqJz585s2LDhonZxcXGEhIRkLs+bN4/u3bszfPhwBgwYAMDMmTOJi4ujfPnyfP7551SqVImDBw/SokULOnfunOfsTz75JC+++CLWWh588EG++uor7r//ft566y3Gjx9/QQ6A3bt389xzz5GQkICfnx9t27ZlwYIFdOjQgZSUFCIjIxk9ejRPP/00kyZNYvjw4XnOIiIiIiKF4Owp+LQ7HNrieiapRmOnEzmu1BRKnqZOnTqEh4dftt2SJUsueM7n6NGjnD59mvLly1/QLqdb7wICAti1axcHDhxg9+7dVKtWjerVq3P27FmGDRvGihUr8PLyYteuXRw+fDjPzyd9/fXXvPbaa6SmpnL48GEaN27MnXfeecn2P/zwA61bt6ZKlSoAPPjgg8THx9OhQwfKly+f2bdx48YsX748TxlEREREpJCkn4NZD8Nv30O3yVAn2ulEHqHUFEoFHfkpKhUq/G/mEC8vL6y1mcupqamZn621rFq1ijJlCjYdY9euXZk9ezZJSUl0794dgI8++oiUlBTWrFmDj48PNWvWvOCYAD4+PmRkZFyU6dSpUwwaNIg1a9ZQo0YNnnvuuYv6Zpf13LLLel7e3t65jq6JiIiISCHLyID5T8DWr6DTP6FBrNOJPIaeUfIAXl5eXHPNNWzbto2MjAzmzp2bua1t27a8/fbbmcvnn/nJq+7duzN9+nTmzJlD165dAUhJSeG6667Dx8eHxYsXs2fPnov6/elPf2Ljxo2cPXuWo0eP8s033wBw+vRpvLy8qFKlCsePH2f27NmZfSpVqsTx48cv2ldERARxcXEkJyeTlpbG9OnTiYyMzNd5iIiIiEghsxYWPw/rP4GoERDez+lEHkWFkod49dVX6dChA23atKFmzf/NLvL222+zcuVKgoODqV+/PhMnTsyx//lnlM7/nC+2GjZsyKFDh6hduzbXXXcdAL169eLbb78lLCyMmTNncsstt1y0v9q1axMTE0NQUBC9e/cmNDQUcM3k16dPHwIDA4mNjaVp06aZfR5++GH69et30fTnNWvW5KWXXiIqKoqQkBAiIiLo1KnTlV80ERERESm4lf+C78ZDkwEQOdTpNB7H5HZbVHESFhZmExISLli3efNm6tWr51Ai8XT6foiIiEiptWYqzB8EgffCPRPhCl9VU5wYYxKttWGXa1d6roiIiIiIiMDmBfDFE1CnDcS8W6qKpPzQVRERERERKS12LodZfaF6KNw/FXwKNmFYaaBCSURERESkNNi3Hj59AK4JcL0rqUyFy3YpzVQoiYiIiIiUdMk7YFpXKOcHvebCVZWdTuTxVCiJiIiIiJRkx/fD1FjISHcVSX41nE5ULJSaF86KiIiIiJQ6p4/B1Hvg5GF46AuoWtfpRMWGRpSK2P79++nevTt16tShfv36dOzYka1btxb5cZcuXUrnzp2L9BhJSUkEBgZecRuAihUrFlYsEREREQE4ewo+7Q6Ht0L3j6FGY6cTFSsqlIqQtZbY2FiioqLYsWMHmzZt4pVXXuHAgQNORxMRERGRkiz9HMx6GH77HrpOhDrRTicqdlQoFaG4uDh8fX0ZOHBg5rqQkBBatmzJiRMnaNOmDaGhoQQFBfH5558DF4/AvP7664waNQqAN998k/r16xMcHEz37t0BWLVqFc2bN6dRo0Y0b96cLVu25JppypQpxMTE0KVLF2rXrs348eMZO3YsjRo1IiIigiNHjgCwbt06IiIiCA4OJjY2lqNHjwKQmJhIw4YNadasGW+//XbmftPT0xkyZAjh4eEEBwfz73//u0DXzFrLkCFDCAwMJCgoiBkzZgCQkZHBY489RoMGDejcuTMdO3Zk1qxZBTqGiIiISImWkQHz/wJbv4JO/4QGsU4nKpZKzTNK+195hTObfy7UfZatdxvVRoy45PYNGzbQuHHOQ5zlypVj7ty5XH311Rw+fJiIiAjuuuuuXI83evRodu7cSdmyZTl27BgAt912G/Hx8fj4+LBkyRJGjBjB7Nmzc93Phg0bWLt2Lampqdx88828+uqrrF27lsGDB/PRRx/x1FNP0bt3b9566y0iIyMZOXIkL774IuPGjePhhx/OXD9kyJDMfX7wwQf4+fmxevVqzpw5Q4sWLWjXrh3GmFyzZDdnzhzWrVvH+vXrOXz4MOHh4bRq1YqVK1eSlJTETz/9xMGDB6lXrx59+/bN175FRERESjxrYfHzsP5TiP4/CH/E6UTFVpGOKBljOhhjthhjthtjhuewfaAx5idjzDpjzApjTH33+gBjzGn3+nXGmAlFmdMJ1lpGjBhBcHAwbdu2Zc+ePZe9JS84OJgePXowbdo0fHxcNW5KSgrdunUjMDCQwYMHs3HjxsseOzo6mkqVKlG1alX8/Pzo0qULAEFBQSQlJZGSksKxY8eIjIwEoE+fPsTHx1+0vlevXpn7XLRoER999BEhISE0bdqU5ORktm3blu/rsmJPsXksAAAgAElEQVTFCh544AG8vb25/vrriYyMZPXq1axYsYJu3brh5eVFtWrViI7W8LGIiIjIRVaOg+/GQ5MB0GrI5dvLJRXZiJIxxht4G7gD2A2sNsbMt9ZuytLsE2vtBHf7u4CxQAf3th3W2pDCypPbyE9RadCgwSVvD/v44485dOgQiYmJ+Pr6EhAQQGpqKj4+PmRkZGS2S01Nzfy8cOFC4uPjmT9/Pi+//DIbN27k+eefJzo6mrlz55KUlERUVNRlc5UtWzbzs5eXV+ayl5cXaWlpl+xnrb3kCJG1lrfeeov27dtfsD4pKemyebLvJz/rRURERMRtzUewZBQE3gsdXoV83tkjFyrKEaUmwHZr7S/W2rPAdODurA2stb9nWawAlKi/hlu3bs2ZM2eYOHFi5rrVq1ezbNkyUlJSuO666/D19SUuLo5ff/0VgOuvv56DBw+SnJzMmTNnWLBgAeB6RmfXrl1ER0czZswYjh07xokTJ0hJSaFGDddc+FOmTCmU3H5+flxzzTUsX74cgKlTpxIZGYm/vz9+fn6sWLECcBV757Vv3553332Xc+fOAbB161ZOnjx5wX737NlDmzZtcj12q1atmDFjBunp6Rw6dIj4+HiaNGnC7bffzuzZs8nIyODAgQMsXbq0UM5VREREpETYvAC+eBLqtIGYd8FLUxFcqaJ8RqkGsCvL8m6gafZGxpjHgaeBMkDrLJtqG2PWAr8Dz1lrl+fQdwAwAODGG28svOSFxBjD3Llzeeqppxg9ejTlypUjICCAcePG0aBBA7p06UJYWBghISHcdtttAPj6+jJy5EiaNm1K7dq1M9enp6fTs2dPUlJSsNYyePBg/P39GTp0KH369GHs2LG0bt06tzj58uGHHzJw4EBOnTrFTTfdxOTJkwGYPHkyffv25aqrrrpg9Khfv34kJSURGhqKtZaqVasyb968C/a5b9++zFsGLyU2NpbvvvuOhg0bYoxhzJgxVKtWja5du/L1118TGBhI3bp1adq0KX5+fgCMHDmSsLCwyz7jJSIiIlIi7VwOs/pC9VC4fyr4lHE6UYlgiuqWJmNMN6C9tbafe7kX0MRa+5dLtH/Q3b6PMaYsUNFam2yMaQzMAxpkG4G6QFhYmE1ISLhg3ebNm6lXr14hnZFcqfHjx3PjjTcWuKA5ceIEFStWJDk5mSZNmrBy5UqqVatW4Dz6foiIiEixt289TO4EV1eHvl/BVZWdTuTxjDGJ1tqwy7UryhGl3UCtLMs1gb25tJ8OvAtgrT0DnHF/TjTG7ADqAgmX7i6ebtCgQVfUv3Pnzhw7doyzZ8/y/PPPX1GRJCIiIlLsJe+AaV2hvD/0mqsiqZAVZaG0GrjFGFMb2AN0Bx7M2sAYc4u19vzUaJ2Abe71VYEj1tp0Y8xNwC3AL0WYVYoBPZckIiIi4nZ8P0yNBZvhKpL8ajidqMQpskLJWptmjBkE/BfwBiZZazcaY14CEqy184FBxpi2wDngKNDH3b0V8JIxJg1IBwZaa48UVVYRERERkWLj9FGYeg+cPAwPfQFVbnE6UYlUpC+ctdZ+CXyZbd3ILJ+fvES/2UDub00VERERESltzp6CT7pD8jZ48DOo0djpRCVWkRZKIiIiIiJSSNLPwcyHYNcP0G0y1Il2OlGJpkJJRERERMTTZWTA/L/Atv9Cp7HQINbpRCWe3kRVxPbv30/37t2pU6cO9evXp2PHjmzdurXIj7t06VI6d+5cpMdISkoiMDDwittczs8//0xISAiNGjVix44dV7QvERERkWLHWlj8PKz/FKL/D8IfcTpRqaBCqQhZa4mNjSUqKoodO3awadMmXnnlFQ4cOOB0NI9lrSUjI+OCdfPmzePuu+9m7dq11KlTx6FkIiIiIg5ZOQ6+Gw9NHoVWQ5xOU2qoUCpCcXFx+Pr6MnDgwMx1ISEhtGzZkhMnTtCmTRtCQ0MJCgri888/By4egXn99dcZNWoUAG+++Sb169cnODiY7t27A7Bq1SqaN29Oo0aNaN68OVu2bMk105QpU4iJiaFLly7Url2b8ePHM3bsWBo1akRERARHjrgmF1y3bh0REREEBwcTGxvL0aNHAUhMTKRhw4Y0a9aMt99+O3O/6enpDBkyhPDwcIKDg/n3v/+d5+uUlJREvXr1eOyxxwgNDWXXrl2Z27788kvGjRvH+++/T3S07sMVERGRUmbNR7BkFATeCx1GgzFOJyo1Ss0zSss/28rhXScKdZ9ValWk5X11L7l9w4YNNG6c80wk5cqVY+7cuVx99dUcPnyYiIgI7rrrrlyPN3r0aHbu3EnZsmU5duwYALfddhvx8fH4+PiwZMkSRowYwezZuU8YuGHDBtauXUtqaio333wzr776KmvXrmXw4MF89NFHPPXUU/Tu3Zu33nqLyMhIRo4cyYsvvsi4ceN4+OGHM9cPGfK/f9H44IMP8PPzY/Xq1Zw5c4YWLVrQrl07TB7/z7xlyxYmT57MO++8c8H6jh07MnDgQCpWrMgzzzyTp32JiIiIlAibv4AvnoQ6bSDmXfDSGMcfqdQUSp7GWsuIESOIj4/Hy8uLPXv2XPaWvODgYHr06EFMTAwxMTEApKSk0KdPH7Zt24YxhnPnzl322NHR0VSqVIlKlSrh5+dHly5dAAgKCuLHH38kJSWFY8eOERkZCUCfPn3o1q3bRet79erFf/7zHwAWLVrEjz/+yKxZszJzbdu2jbp1L11IZvWnP/2JiIiIPLUVERERKfF2LodZj7im/75/KviUcTpRqVNqCqXcRn6KSoMGDTILh+w+/vhjDh06RGJiIr6+vgQEBJCamoqPj88Fz+ikpqZmfl64cCHx8fHMnz+fl19+mY0bN/L8888THR3N3LlzSUpKIioq6rK5ypYtm/nZy8src9nLy4u0tLRL9rPWXnKEyFrLW2+9Rfv27S9Yn5SUdNk8ABUqVMhTOxEREZESb996+PQBqFzb9a6kMvo7yQkavytCrVu35syZM0ycODFz3erVq1m2bBkpKSlcd911+Pr6EhcXx6+//grA9ddfz8GDB0lOTubMmTMsWLAAgIyMDHbt2kV0dDRjxozh2LFjnDhxgpSUFGrUqAG4nj8qDH5+flxzzTUsX74cgKlTpxIZGYm/vz9+fn6sWLECcBV757Vv35533303c0Rr69atnDx58oL97tmzhzZt2hRKRhEREZESKXkHTOsK5f2h5xy4qrLTiUotFUpFyBjD3LlzWbx4MXXq1KFBgwaMGjWK6tWr06NHDxISEggLC+Pjjz/mtttuA8DX15eRI0fStGlTOnfunLk+PT2dnj17EhQURKNGjRg8eDD+/v4MHTqUZ599lhYtWpCenl5o2T/88EOGDBlCcHAw69atY+TIkQBMnjyZxx9/nGbNmlG+fPnM9v369aN+/fqEhoYSGBjIo48+etHo1L59+/DxydsgZr9+/UhISMhxW8eOHdm7d28Bz0xERETEQ/2+D6bGgM2AXnPBr4bTiUo1Y611OkOhCAsLs9n/sN68eTP16tVzKJFkN378eG688cbLTlrxR9H3Q0RERDzG6aMwuSMc+w36fAE1Qp1OVGIZYxKttWGXa1dqnlES5w0aNMjpCCIiIiKe5+wp+KQ7JG93PZOkIskjqFASEREREXFK+jmY+RDs+gG6TYE6em+kp1ChJCIiIiLihIwM+HwQbPsvdBoLDWKcTiRZlPjJHErKM1hSuPS9EBEREUdZC4ufhx+nQ/T/QfgjTieSbEp0oVSuXDmSk5P1R7FcwFpLcnIy5cqVczqKiIiIlFYr3oDvxkOTR6HVEKfTSA5K9K13NWvWZPfu3Rw6dMjpKOJhypUrR82aNZ2OISIiIqVR4ofw9YsQ1A06jAZjnE4kOSjRhZKvry+1a9d2OoaIiIiIiMvmL2DBU3BzW7j7HfAq0Td4FWv6zYiIiIiI/BF2LodZj0CNxnDfR+BTxulEkgsVSiIiIiIiRW3vOvj0Aahc2/WupDIVnE4kl6FCSURERESkKCXvgGldobw/9JwDV1V2OpHkgQolEREREZGi8vs+mBoDWOg1F/xqOJ1I8qhET+YgIiIiIuKY00dh2j1w6gj0+QKq3OJ0IskHFUoiIiIiIoXt7Cn4pDskb4ceM6FGqNOJJJ9UKImIiIiIFKb0czDzIdj1A3SbAjdFOZtHCkSFkoiIiIhIYcnIgM8Hwbb/Quc3oEGM04mkgDSZg4iIiIhIYbAWFj0HP06H6OcgrK/TieQKqFASERERESkMK96A79+GpgOh1TNOp5ErpEJJRERERORKJX4IX78IQd2g/T/AGKcTyRVSoSQiIiIiciU2zYcFT8HNbeHud8BLf2KXBPotioiIiIgU1M54mP0I1GgM930EPmWcTiSFRIWSiIiIiEhB7F0Hnz4IlW+CBz+DMhWcTuRxth3dxhc7vnA6RoFoenARERERkfxK3gHTukJ5f+g5B66q7HQij7MxeSOPLn6Uct7laHNjG67yvcrpSPmiESURERERkfz4fR9MjQEs9JoLfjWcTuRx1h5cS7//9qOCTwUmt59c7IokUKEkIiIiIpJ3p4/CtHvg1BHoMQuq3OJ0Io/z/b7veXTxo1xb/lo+vPNDal1dy+lIBaJCSUREREQkL86egk+6Q/J26P4x1Ah1OpHHWbZrGY8veZwaFWswpcMUqlWo5nSkAlOhJCIiIiJyOennYGYf2PUD3DMRbopyOpHH+SrpK56Ke4qbr7mZye0nU6V8FacjXREVSiIiIiIiucnIgM8fh22LoPNYaBDjdCKPM2/7PIbFDyO4ajDvt3sf/3L+Tke6Ypr1TkRERETkUqyFRc/BjzMg+jkI6+t0Io8z/efp/P2HvxNxQwT/iv5XsZy4IScqlERERERELmXFWPj+bWg6EFo943QajzN5w2TGJo4lqmYUr0e9Tlnvsk5HKjQqlEREREREcpI4Bb5+CYK6Qft/gDFOJ/IY1lreWf8OE9ZPoENAB15p+Qq+Xr5OxypURfqMkjGmgzFmizFmuzFmeA7bBxpjfjLGrDPGrDDG1M+y7Vl3vy3GmPZFmVNERERE5AKb5sOCwXBzW7j7HfDSo/3nWWt5PeF1JqyfQMzNMYxuObrEFUlQhCNKxhhv4G3gDmA3sNoYM99auylLs0+stRPc7e8CxgId3AVTd6ABUB1YYoypa61NL6q8IiIiIiIA7IyH2Y9AjTC47yPwKeN0Io+RYTP42/d/Y+bWmTxw2wMMbzIcL1Myi8iiPKsmwHZr7S/W2rPAdODurA2stb9nWawAWPfnu4Hp1toz1tqdwHb3/kREREREis7edfDpg1D5JnhwBpSp4HQij5GWkcZzK55j5taZ9A3sy7NNni2xRRIU7TNKNYBdWZZ3A02zNzLGPA48DZQBWmfp+322vjWKJqaIiIiICJC8A6Z1hfL+0HMOXFXZ6UQe41z6OYbGD2XJb0v4S6O/0D+oP6aEP7NVlCVgTlfOXrTC2rettXWAYcBz+elrjBlgjEkwxiQcOnToisKKiIiISCn2+z6YGgNY6DUP/PRv9OelpqXyRNwTLPltCUPDhzIgeECJL5KgaAul3UCtLMs1gb25tJ8OnH97V576Wmvfs9aGWWvDqlateoVxRURERKRUOn0Upt0Dp45Az9lQ5WanE3mMk+dO8tjXj7Fyz0pGNhtJr/q9nI70hynKQmk1cIsxprYxpgyuyRnmZ21gjLkly2InYJv783yguzGmrDGmNnALsKoIs4qIiIhIaXT2FHxyPyRvh+6fQPVGTifyGClnUhiweABrDqzhlZav0K1uN6cj/aGK7Bkla22aMWYQ8F/AG5hkrd1ojHkJSLDWzgcGGWPaAueAo0Afd9+NxpjPgE1AGvC4ZrwTERERkUKVfg5m9oFdq6DbFLgp0ulEHuNI6hEeXfwo249t55+R/6TNn9o4HekPZ6y96NGfYiksLMwmJCQ4HUNEREREioOMDJg3EH6cAZ3HQdjDTifyGAdPHaT/ov7sObGHcdHjuL3G7U5HKlTGmERrbdjl2hXlrHciIiIiIp7HWlj0f64iqfVzKpKy2HNiD/3+248jqUd4t+27hFcLdzqSY1QoiYiIiEjpsmIsfP8ONB0ILZ9xOo3HSEpJot+ifpxKO8XEdhMJrhrsdCRHqVASERERkdIjcQp8/RIE3Qft/wGlYJrrvNh6dCsDFg3AYpncfjK3Vr7V6UiOK7mv0hURERERyWrTfFgwGG6+A2LeAS/9KQyw8fBG+v63L97GW0VSFvp2iIiIiEjJtzMeZj8CNcLgvg/B29fpRB5hzYE1PLLoESr6VmTKnVO4yf8mpyN5DBVKIiIiIlKy7V0Hnz4IlevAgzOgTAWnE3mE7/Z+x8AlA6lavipTOkyhVqVaTkfyKCqURERERKTkOrwdpnWF8tdArzlwVWWnE3mEpbuW8vjXj1OzUk0md5hMtQrVnI7kcVQoiYiIiEjJ9PtemBoLWOg1F66u7nQij/DVzq8YHDeYW6+5lcntJ1OlfBWnI3kkFUoiIiIiUvKcOgJT74HTR6DnbKhys9OJPMLcbXMZtnwYwVWDmdhuIn5l/ZyO5LE0PbiIiIiIlCxnT8Gn3eHIDugxC6o3cjqRR/hk8yf8Y9U/aF69OeOix1Hep7zTkTyaCiURERERKTnSz8FnvWHXKtfsdjdFOp3II3zw0weMWzOO6FrRvB75OmW8yzgdyeOpUBIRERGRkiEjAz5/HLYvhs7joP7dTidynLWW8evG896P73Fn7Tv5++1/x9dLU6PnhQolERERESn+rIX/joAfZ0Dr5yDsYacTOc5ay2sJrzF101TuueUeRkaMxNvL2+lYxYYKJREREREp3k4fg3mPwZaF0PTP0PIZpxM5Lj0jnZe/f5nZ22bTo14PhoYPxctoHrf8UKEkIiIiIsXX/p9gRi9I2QXt/wERfwZjnE7lqLSMNJ5b+RwLf1lI/6D+/KXRXzCl/JoUhAolERERESme1n4MC592vUz2oYVwY4TTiRx3Nv0sQ+OH8vVvX/NEoyfoH9zf6UjFlgolERERESlezqXCf4bCmg8hoCXcOwkqXud0KsedTjvN4KWDWblnJcPCh9Gzfk+nIxVrKpREREREpPg4muSa/nvferj9aYj+P/DWn7Qnz51k0NeDSDyQyKhmo+hat6vTkYo9fatEREREpHjY+l+Y0x8s8MB0uPVOpxN5hJQzKTy25DE2Jm9kdMvRdLypo9ORSgQVSiIiIiLi2TLSIe4VWP46VAuC+6ZC5dpOp/IIyaeTeXTxo/yS8gtjo8bS+sbWTkcqMVQoiYiIiIjnOnkYZvWFncugUS/o+Br4lnc6lUc4cPIA/Rf3Z9+JfbzV+i1a1GjhdKQSRYWSiIiIiHimXavgsz5w+gjcNR5CezmdyGPsPr6bfov6cezMMd5t+y5h1cKcjlTiqFASEREREc9iLfzwb1j0f+BXEx5ZBDc0dDqVx9iZspP+i/pzOu00E++YSFDVIKcjlUgqlERERETEc5w5AfP/AhvnQN07IXYClPd3OpXH2HJkCwMWDwBgUvtJ3Fr5VocTlVwqlERERETEMxz8GT7rBcnboc0L0OIp8PJyOpXH2HB4A48ufpRyPuWY2G4iN/nd5HSkEk2FkoiIiIg476dZMP8JKHMV9P4cardyOpFHSTyQyONfP45/WX/eb/c+NSvVdDpSiadCSURERESck3bW9SzSqvegVgR0mwxXV3c6lUf5du+3PPnNk9xQ8QYm3jGR6ytc73SkUkGFkoiIiIg4I2U3zHwIdq+GiMfhjhfB29fpVB7lm9++4Zllz1Dbrzbv3fEe15a/1ulIpYYKJRERERH54+2Ig9mPQNoZ6DYFGsQ6ncjjfPnLl4xYMYL619bn3bbv4lfWz+lIpYqejhMRERGRP05GBix7DabGQoXrYMBSFUk5mLttLsOXDyfkuhAmtpuoIskBGlESERERkT/GqSMw91HYtgiC7oMu46BMBadTeZyPN3/M6FWjaVG9BW9Ev0F5n/JORyqVVCiJiIiISNHbuxZm9Ibj+6DTPyHsETDG6VQe5/2f3udfa/5F61qteS3yNcp4l3E6UqmlQklEREREio61kDgF/jPUdatd36+gZpjTqTyOtZa31r7FxJ8m0rF2R/52+9/w9dLEFk5SoSQiIiIiRePsKVj4V1j/CdRpDfe8DxU0a1t21lrGrB7DtM3T6HpLV56PeB5vL2+nY5V6KpREREREpPAl74DPesOBjRA5HCKHgv74v0h6Rjovf/8ys7fNpme9ngwNH4rRLYkeQYWSiIiIiBSuzQtg3p9dhVGPWXBLW6cTeaRzGed4bsVzfLnzSwYED2BQyCAVSR5EhZKIiIiIFI70NPj6Rfj2TajeCO77CPxvdDqVRzqbfpYhy4bwza5veDL0SfoF9XM6kmSjQklERERErtzx/TCrL/y60jWjXYd/gE9Zp1N5pNNppxkcN5iVe1cyvMlwetTr4XQkyYEKJRERERG5MkkrYdbDkPo7xL4HDe93OpHHOnH2BIO+GcSaA2t4qflLxN6il+16KhVKIiIiIlIw1sK3b8GSUXBNAPSaC9c3cDqVx0o5k8Kfl/yZzcmbebXVq9xZ+06nI0kuVCiJiIiISP6lpsDnj8PmL6BeF7j7HSh3tdOpPFby6WQGLB7AzpSdjI0aS/SN0U5HkstQoSQiIiIi+bN/A3zWC47+Cu3+Ds0eB83WdkkHTh6g36J+7D+5n/FtxtO8enOnI0keeBXlzo0xHYwxW4wx240xw3PY/rQxZpMx5kdjzNfGmD9l2ZZujFnn/plflDlFREREJI/WT4f327peJvvQAmg+SEVSLnYf302fr/pw6PQhJtwxQUVSMVJkI0rGGG/gbeAOYDew2hgz31q7KUuztUCYtfaUMebPwBjg/NN/p621IUWVT0RERETy4VwqfDUcEidDQEvo+gFUut7pVB7tl5Rf6L+oP2fSz/BBuw9oUKX0Pb+V+OsRNuz5nT7NA5yOkm9FeetdE2C7tfYXAGPMdOBuILNQstbGZWn/PdCzCPOIiIiISEEc/RU+6w371kGLp6D18+CtJzhys+XIFgYsHgDApPaTqHtNXYcT/bF2Hz3F6P/8zIIf91HDvzz3h9einK+307HypSi/4TWAXVmWdwNNc2n/CPCfLMvljDEJQBow2lo7L3sHY8wAYADAjTfqZWYiIiIihW7rIpjT3zXDXfdP4LZOTifyeD8d+omBSwZS3qc877d7nwC/AKcj/WFOnEnjnbjtvL9iJ14GnmhzCwMjbyp2RRIUbaGU082qNseGxvQEwoDILKtvtNbuNcbcBHxjjPnJWrvjgp1Z+x7wHkBYWFiO+xYRERGRAshIh6WjIX4MXB8E938ElW9yOpXHS9ifwONfP07lcpV5v/371KhYw+lIf4j0DMvMhF28vmgrh0+cIbZRDYa0v5Xq/uWdjlZgRVko7QZqZVmuCezN3sgY0xb4PyDSWnvm/Hpr7V73//5ijFkKNAJ2ZO8vIiIiIoXsZDLMfgR+ieP/2bvPwCjL7O/j3zvJZDKT3iZAKml0AkkAAQVUQGyoWMCCYMeyq67rPrvqFnX9r2VdUVnsC4quir2ASpGiKEoIvaWRhDQSSM9Mpl7PiwkBXIQESCYJ5/Mm7Z6ZM5NE8+O6rnMYdj1c/Czouu8fvJ1lXek67lt1H30C+vDa5NcwGU2eLqlT/JB3gMeX7GJXeT0Z8aG8PiuTYbEhni7rlHVkUNoApGia1hcoBWYA1x15gaZpw4FXgClKqcojPh8KmJVSVk3TIoCxuBs9CCGEEEKIjrRvA3wwC5oOwKUvQPqN0tWuDVYWr+TBNQ+SFJLEK5NeIcwvzNMldbiCqkb+b+luVuzaT0yogXnXDefiIb3ResjPS4cFJaWUQ9O0e4BvAG/gP0qpHZqmPQZkKaU+B54BAoAPWl7QYqXUVGAA8IqmaS7cLcyf/EW3PCGEEEIIcTopBT+/Bt88BEG94ZZl0EcaELfF0oKlPPT9QwyKGMT88+cTrA/2dEkdqs5s5/mVubz1YyF+Om/+MKUfN4/t2y3PIR2PplTPONqTmZmpsrKyPF2GEEIIIUT3Y22EL+6F7R9C6hS44mUwhHq6qm7ho5yPePTHR8nslcmL572Iv87f0yV1GLvTxTvri5i7Mpd6i53pI+L43aRUIgP1ni6tXTRN26iUyjzRddLXUQghhBDiTFaVA4tnwoEcd9vvs38HXl6erqpbeHvn2zy14SnOjj6b5yY8h5+Pn6dL6hBKKb7dXckTS3dRUNXE2ckRPHzxAAb0DvJ0aR1KgpIQQgghxJlq+8fw+W/Axw9mfgKJEzxdUbfx2tbXeGHTC0yMm8hT457C19vX0yV1iN0V9fz9y118n3eAxAh/3piVyXn9TT3mHNLxSFASQgghhDjTOGyw/C/w00sQMxKuXgjBZ0Yb61OllOKFTS/w+rbXuSTxEh4f+zg+Xj3vT+oDjVaeXZbD+xuKCfTT8ddLB3LDWfHovM+c1cae910VQgghhBC/rr4MPpgN+36CUXfCpMfAp2euhpxuLuXi6Q1P886ud7g69WoeOesRvLSeFRya7U4WrCvk36vyaLY7mTUmgXvPTyHEeOb9jEhQEkIIIYQ4UxSshg9vAbsFrloAg6d5uqJuw+ly8tj6x/g492NmDpzJg5kP9qjtZ0oplm6r4Mmvd7Gv2sLEASb+dNEAkiIDPF2ax0hQEkIIIYTo6Vwu+P5fsOoJCE+B6Ysgsp+nq+o27C47D3//MF/t/Yo5aXO4K+2uHhWStpbU8viXO9lQWEP/XoG8fcsozk6J8HRZHidBSQghhBCiJ7PUwCdzIOdrGHwVXPo86M/cVYL2sjqtPLjmQVbtW8X9Gfdz8+CbPV3SaVNeZ+GZr/fw8aZSIgJ8+ce0IVyTGYu3V88JgadCgpIQQgghRE9VthkW3+g+l1I81fAAACAASURBVHThMzDyNuhBKyEdzeKwcO+39/Jj+Y88NOohru1/radLOi3MNgevrCnglbX5uBTcOSGJuyYkEein83RpXYoEJSGEEEKInij7LVjye/CPgJu+gtgRnq6oW2m0NXL3yrvZXLWZx8c+zuXJl3u6pFPmcik+2VTKM9/soaK+mYuH9uaPU/oTG2b0dGldkgQlIYQQQoiexG5xB6TNb7vnIl35hjssiTars9YxZ/kcdlfv5qlxTzElYYqnSzplGwqrefzLnWwtqSMtJph51w0nMyHM02V1aRKUhBBCCCF6iuoCeP9G2L8Nxv0BJvwRvLw9XVW3csBygNuX305RXRFzz53L+Njxni7plOyrNvOPr3axdFsFvYP9eG56GpelReMl55BOSIKSEEIIIURPsHsJfHKn+wzSdR9A6mRPV9TtVDRVcNuy29hv3s+88+cxus9oT5d00uqb7fx7VR4Lvi/E20vj/omp3D4uEYOvBOe2kqAkhBBCCNGdOR3w7eOwbi70HgbXvAWh8Z6uqtvZ17CP25bdRp21jlcmvcJw03BPl3RSHE4X723Yx3PLczjYZOPK9BgevKAfvYL9PF1atyNBSQghhBCiu2qshA9vhsLvIOMmmPIk6OQP4vYqqCvgtm9uw+qy8voFrzMofJCnSzopa3OqeGLJLvbsb2BkQhgLbxrIkJhgT5fVbUlQEkIIIYTojop+hA9mQ3MdXP4yDOsZras72+7q3dyx/A40NBZcsICU0BRPl9RueZWNPLFkJ6v2VBEXZuSl69OZMrhXjxqK6wkSlIQQQgghuhOlYP18WPZn9xa7Gz6CXoM9XVW3tLVqK3NWzMFf58/rk18nPqh7bVmsabIxd0UOb/9UjFHnzZ8u7M/ssQnofeQc0ukgQUkIIYQQortorofP74Gdn0H/S+Dy+eAnW6tOxoaKDdyz8h7CDeG8Pvl1+gT08XRJbWZzuHjrx0JeWJlLo9XBtSPjuH9SKhEBek+X1qNIUBJCCCGE6A7274TFM6F6L0x6HMb8xt3hTrTb96Xfc9+q+4gJiOG1ya8RaYz0dEltopRi+c79/OOr3ew90MQ5KRE8cvFA+vUK9HRpPZIEJSGEEEKIrm7rYvjiXtAHwqwvIGGspyvqtlYWreT3a39PSkgKL096mTC/7jF0dWdZPX9fspMf8g+SFOnPgtkjmNAvUs4hdSAJSkIIIYQQXZXDCl//CbLegPixcNV/ILCXp6vqtr4s+JJHvn+EwRGDmT9xPkG+QZ4u6YQqG5p59pscFm/cR7BBx6NTB3HdqDh03l6eLq3Hk6AkhBBCCNEV1RbD4llQlg1jfgvn/xW85U+3k/Vhzoc89uNjjOg1ghfPexGjzujpko6r2e7kje/3Mn9VHjani5vH9uW356UQbNR5urQzRpt/2zRN81dKNXVkMUIIIYQQAshdAR/fCi4nTH8bBlzq6Yq6tUU7F/H0hqc5J/oc/jXhX/j5dN1ZU0opvthazlNf7aa01sKkgVE8dNEA+kb4e7q0M84Jg5KmaWOA14EAIE7TtDTgDqXUXR1dnBBCCCHEGcXlgrVPw+onwTQQpi+C8CRPV9VtKaV4deurzNs8j0nxk3jqnKfQeXfdFZlNxTU8/uVOsotrGdA7iGeuHsqYpAhPl3XGasuK0nPABcDnAEqpLZqmjevQqoQQQgghzjRNB+Hj2yB/JaRdCxf/C3y79vawrkwpxfPZz/PG9jeYmjSVR8c8io9X19y6WFZr4amvd/PZ5jIiAvQ8deUQrsqIxdtLGjV4Upt+WpRS+37RUcPZMeUIIYQQQpyBSjbCB7OgcT9cMhcyZkvr71PgUi6e+vkp/rv7v1yTeg0Pn/UwXlrXa37QZHXw8pp8Xl1bAMA95yYzZ0ISAfquGejONG35Luxr2X6nNE3zBX4L7OrYsoQQQgghzgBKwYbX3Z3tAnvDzd9AdLqnq+rWnC4nf/vxb3ya9ymzBs7igcwHulwLbZdL8WF2Cf/8Zg+VDVampvXh/13Yn+gQg6dLO62aG+3UVpqxWhzEDwr3dDnt1pagNAd4HogGSoBlgJxPEkIIIYQ4FbYm+OI+2LYYkifBtFfB2D1m+nRVdpedh757iK8Lv+autLuYkzany4Wk9QUHefzLnewoq2d4XAgvz8wgPS7U02WdtOYmdxiqq7RQV2mmtuVtXZUFq9kBgDHIl5uePtvDlbZfW4JSP6XU9Ud+QtO0scC6jilJCCGEEKKHO5AL78+Eqt1w7iNwzgPg1fW2hnUn+5v289j6x1hbspYHMh5g9uDZni7pKIUHmvjHV7v4Zsd++gT78fyMYUxN69PlgtyxNDfZqav63yBUW2nG2uQ4fKEGgaF+BJsMpGRGEWwyEGwyEmLqnitlbQlKLwK/XAM+1ueEEEIIIcSJ7PgUPrsHfHxh5seQdJ6nK+rW6m31LNi+gLd3vo1DOfjzWX/mmn7XeLqsVnUWO/O+zWXhD4XovL34/eRUbj0nET+dt6dLO4rV4mgJQodWhyyt7zc32Q9fqEFAqJ4Qk5HkjCiCIw2EtASi4AgD3rqeE/h/NShpmjYaGANEapr2uyO+FAR0re+sEEIIIURX57TD8r/C+n9DdCZc8yYEx3i6qm7L6rTy3u73eG3ba9Rb67k48WLuHnY3MYFd4zV1OF28+3Mxz63IpcZs4+qMGH4/uR+mIM/NcLJZHO7wc4zVIUuD/ahrA0L1BJsMJKZHEhJpJNhkIMRkJCjSD58uFvI6yvFWlHxxz07yAQKP+Hw9cFVHFiWEEEII0aPUl8MHs2Hfehh5B0z+u3tFSbSb0+Vkyd4lzNs0j/KmcsZGj+W+9PvoH9bf06W1Wr2nkieW7CK3spGzEsN45OKBDI4O7pTHtjU7jloNOnKb3C/DkH+InhCTgb5pke4g1BKIgiMN+Pi2PwwppxN7eQX24iJsxcXYioqxFRcDEPvveafl+XWmXw1KSqk1wBpN0xYqpYo6sSYhhBBCiJ5j73fw4U1gM8OVb8AQ+ffmk6GU4rvS75ibPZfcmlwGhg/k8bGPM6r3KE+X1ip3fwN/X7KLNTlVJIQbeWVmBpMHRp32c0i2ZkfLqpCFuqrDK0O1lRYs9bajrvUP9iXYZKTv0Aj39rjWlSEDupMJQw4H9rKylhBUhL24GFthSzAqKQH74TCm6fX4xsWhT0k55efsCW05o2TWNO0ZYBDQulaolJINtUIIIYQQv8blgnVz4dvHITwZZn0Jpq6z6tGdbK3aynMbnyNrfxaxgbE8M/4ZJsdP7jKzkaqbbDy3PIf//lyM0debRy4ewI2jE/D1Ofn67FYndVXmo1aHDm2bM9cdHYaMwb4ERxpIGBzeGoSCTUaCIw3o9CcRhmw2bKWl7hDUsipkKypyB6PSMnAcbuCgGY2tYShw4vno4uLwjYvHNz4OH5MJrRs3KWlLUHoHeB+4BHer8FlAVUcWJYQQQgjRrVlq4dM7Yc9SGHQFTH0R9IEnvp04SmFdIS9seoHlRcsJ8wvj4VEPc2Xqlei8dJ4uDQCrw8lbPxTxwre5mG1Orh8Vx30TUwnzb9u2SrvNSX3VL4JQy+pQ0y/CkCHIlxCTgbhB4e7mCUdsk/P1a/+AWpfVir2kpHVlyFZUhL0lFNnLytxBv4WXvz++8fH4DRxI0JQL8Y2Lwzc+Dt/4eLwjIrpF576T0ZZXNVwp9YamafcesR1vTUcXJoQQQgjRLZVvhcUzoa4EpjwFo+6AHvqHZEepMlfx8paX+Sj3I/Teeu4adhezBs7CqDN6ujTAvQ3wmx37+cdXuyg6aGZCv0gevmgAKVH/G4YdNmfrNrnaqqPnDTXVWo+61hCoI8RkJHZgWGsQCmnZLndSYchiwbZvX8vKUNHh1aHiIhzlFe6Bxy28goLwjY/HkJZG8NRL3StD8fHuMBQa2mPD0PG05RU/tNGwXNO0i4EyoGu0ExFCCCGE6Eo2vQ1LHgBDGMxeCnFd5/xMd9Boa2TBjgUs2rkIu8vO9H7TuX3o7YQbwj1dWqvtpXU8/uVOftpbTYopgDdvHsnYvmHUVVko2Fx1RCByh6LGmv8NQ8GRBmL6h7a21Q5p2SbnaziJMNTUhG3fPncIOrQ9riUQOfbvP+pa79BQfOPiMGZmtm6P842PxzcuDu+QkFN6XXqitnw3/q5pWjDwAO75SUHA/R1alRBCCCFEd2K3wNIHYdMi6DsOrvwPBER6uqpuw+a0sXjPYl7d+io11houTLiQ3wz/DbFBsZ4urVV5tZkXP9/Fz9sq6eOt46HeUZjwonBhDttrrHB4cQY/fx3BJgPRqaEtQ1cNrWFIb2z/tkFnQ4N7S1zR0d3kbMVFOKsOHHWtd0QEvnFx+I8e3RqEdHHx+MbF4h0UdKovwxnluEFJ0zRvIEUp9SVQB5zbKVUJIYQQQnQX1Xth8Y1QsRXO+T2c+xB4nRlzZk6VS7lYuncp8zbNo7SxlLN6n8V9GfcxKHyQR+pxOlzUH7Acni9UaaF6fxOl+xrA7CAajSvQA+DlNOMwGemTEkJwpPHw0NVIA37+JxGG6urc4aew6HA3uZZA5KyuPupaH5MJ37g4AsaNa1kZcq8O6WLj8A7wPy2vhThBUFJKOTVNmwo810n1CCGEEEJ0H3u+hk9ud79/7fvQb4pn6+kmlFL8UPYDz218jj01exgQNoC/TPoLY/qM6fDHPhSGWs8NVZpbZw01HGw+8tgOmq8XVTipVE4iYv2ZfFYMyYnuVaL2hiGlFM7aWmyFhUd3k2tZKXLW1R11vU/v3vjGxRF4/vn4JsQf7iYXG4OXsWuc1erp2rL17gdN0+bh7nzXdOiTSqnsDqtKCCGEEKIrczlh1RPw3bPQOw2ueQtCEzxdVbew48AOntv4HD9V/ER0QDRPnfMUU/pOOa2tvp1OFw0Hmg93kas61EDBTEO1FeU6nIZ8DT6EmAxE9Q0mdVQvQiINlLsczNtQRFZ5HYOjg/jzxQMZlXjic1JKKZwHDx7ROOHolSFXQ8Phi7280PXujW98HH4XXXj4zFBcHLqYGLz8/H79gUSnaEtQOhTtHzvicwqQOUpCCCGEOPM0HYSPboaC1ZA+Cy58GnTyR+2JFNcX88KmF/im8BtC9aH8ceQfuSb1GnTeJ9fq22l3UX/QcjgIVR0evtpwsPnoMOTnTbDJSFRCEKkjj+4m5+eva+3oVlJj5smvdvPl1nKigvT88+o0pg2PxsvrcMc3pRSOykp3O+1jrAy5zObDRXp7o4uOxjcujuBhw9zb41pWhnQx0Xj5tq2NuPCMEwYlpdRJn0vSNG0K8DzgDbyulHryF1//HXAr4MA9m+lmpVRRy9dmAY+0XPp3pdSbJ1uHEEIIIcRpUb4F3rsBGvfD1HmQPtPTFXV5BywH3K2+cz5C561jTtocZg2cRYBvwAlv6x666g5ArWGo0kJ9lYWGmuajGij4+nkTFGnAFBdISqaptXlCsMmIIVB33PbWjVYH81fl8fr3e/HS4LfnJnFrf3+8y0uo++CH/1kZUs3Nh2+s0+EbHY1vfDzGEZlHrwz16YOm6xozn0T7aerIjZin847djSBygElACbABuFYptfOIa84FflJKmTVNuxOYoJSarmlaGJAFZOL+FdgIZCilan7t8TIzM1VWVlaHPBchhBBCCLa8B1/cC8ZwmL4IojM8XVGX1mRv4s0db7Jwx0LsTjtXpl7JnLQ5RBgijrrOara3BqBfhiLzL4au+gXoWsKPgeCIw80Tfrky1BbK6cRaWsaKFVl8t3ozgQcryPBpItFWgyotQdkOP7am0x2eK9QybPXQx7pevdB82t/WW3iOpmkblVKZJ7quI7+rI4E8pVRBS0HvAZcBrUFJKbXqiOvXAze0vH8BsFwpVd1y2+XAFODdDqxXCCGEEOJ/Oe2w7BH46WWIPxuuXiitv4/D7rTzQc4HvLL1Faqbq7kg/gJuT72TQEsEB7eYya8qaA1F9VUWmpvsR93eP9iXYJOR+EHhBEUaCI50b5MLijSgb+ecIWW3Yy8rO6Kl9uEZQ9Z9+9AcDpKAJEDp9fjFx+ObnIjuvAlHrQz5REWheUsnwzNNRwalaGDfER+XAMebunYL8NVxbht9WqsTQgghhDiRxkr4YDYUrYOz7oJJj8FJnqnpyZRL0VBrYcW2tXy95Vuctd5MYjaxKgnrJsXy5iKgCABNg4AwP4IjDSSlRxIc6T4rFBxpICjSgM63/YHEUVODdU8O1pyclqGrLaGotAwcjtbrNKMRomPYrY9gc9++WCJ7M2lyBuMmDEdnMqF5nb6GEqL7O2FQ0jTNiHvYbJxS6jZN01KAfi2zlY5702N87pj7/DRNuwH3Nrvx7bmtpmm3A7cDxMXFnaAcIYQQQoh2KNkI798AlhqY9hoMvcbTFXmUy+miodpKXZWZ+ioLtUdsl6utakI5AHxJYwqaF61b44L6u0PQoZWhwHA/vH1OLpC4rFaseXlYc3Kx5uRg3bOH5tyco4auegUE4Bsfj2HQIIIuPNxNrjmyD/M2V/PW+iL8dN7cdW4SN4/ti59OVorEsbVlRWkB7jNCo1s+LgE+AE4UlEqAI8cpxwBlv7xI07SJwMPAeKWU9YjbTvjFbVf/8rZKqVeBV8F9RukE9QghhBBCtE32W7DkAQjsBbcsg95DPV1Rp/i1TnJ1LZ3kXEd0kvPReaEP86LMq5C9kTlowXYmDRnHpLQJBIUZj+oU117K5cJeWuoOQjk5rcHIVlgILhcAml6PPimJgLPPQZ+aij41Bb/UVLwjIo46q2R3unhnfRFzF26j3mJn+ohYfjepH5GB+pOuT5wZ2hKUkloaLFwLoJSyaG07KbcBSNE0rS9QCswArjvyAk3ThgOvAFOUUpVHfOkb4P80TQtt+Xgy8Kc2PKYQQgghxMlzWOGr/wcbF0DiuXDVf8AY5umqTqv2dpILNhmJjAskKcPUsipkoNFQyxv5L7O0cCkh+hBuH3o70/tNx9e7/e2uHTU1h1eIcnJoztmDNTcPdUSbbV1cHPrUFIKmXNASivrhGx933HNDSilW7ankiSW7yK9qYmxyOI9cPJABvYPaXaM4M7UlKNk0TTPQ8mujaVoSYD3+TUAp5dA07R7coccb+I9SaoemaY8BWUqpz4FngADgg5bsVayUmqqUqtY07XHcYQvgsUONHYQQQgghOkR9OSy+EUp+hrH3wfl/Aa/uuS3rZDrJ9U4Opn9kr8Od5CIN+AUc3UmuurmaV7e+wvvr38dH8+G2Ibdx0+CbCPQNPGFNLpsNW34+zXv2HBWMHJWH/63cOyQEfWoqIVde2bpCpE9Oxsvfv13Pf09FA39fspPvcg+QGOHP6zdmcv4AU7u64glxwvbgmqZNwj3PaCCwDBgLzFZKre7w6tpB2oMLIYQQ4qQVr3eHJGsjXP5vGHSFpys6LqUUlgZ7S+c481HnhY7XSe5QF7n2dpIz2828tfMtFmxfgNVpZVrKNOakzcFkNB2zNntpaWsQsubk0LynZduc0wmA5uuLb3ISfimpLStEqej7peITGXlKYeZAo5V/Lc/hvZ+LCfTTce/5KdxwVjy+J3kmSvRMp6U9eMsWu93ANOAs3E0W7lVKHTje7YQQQgghugWlYMPr8PUfISQOZn4KUQM9XRXg7iTXVGd1B6ADh4LQ4ZUhe7Oz9dqO6CQHYHfZ+TjnY17a8hIHmw8yMW4iv0n/DYnBiQA46+patsvltHads+bm4mpqar0PXUwM+tRUAidPcq8QpabiGx9/WmcPVdY388b3e3l7fRFWh4sbRydw38QUQozt3wooxCHH/QlVSilN0z5VSmUASzqpJiGEEEKIjmdvhiW/g83vQMoFMO1VMIR0agnH6yRXf8CC0+5qvdbLWyMowtCyTS7ktHWSOxalFMuKlvFC9gsUNxQzInw4L8T9jvgqsL72McUtwcixf//h+oKD8UtJIfjyy1ubK+hTUvEOaN+2ufYoOtjEy2sK+GhjCQ6Xi0uG9uG356eQbArosMcUZ462RPn1mqaNUEptOPGlQgghhBDdQO0+WDwTyjbB+P8H4/8IHTRDp72d5IJaGibEDwo76rxQQKgeL++O3UKmlCJr81d8sXweKr+ImbX+DKoz4VOyCRwbKAM0nQ7fpCSMo0a6V4j69UOfmoqPqfPOAO0oq+PlNQUs2VqGj5cXV2XGcMe4ROLDOy6UiTNPW4LSucAdmqYVAU24t98ppdSZ0SdTCCGEED3L3rXuIbIOG8x4F/pfdMp3eTKd5CJij+4kFxRhxD/YF+0U2mq3h7O+HmtubktzhRxqd27FmpNDQLOTa1uu8ekT6A5DF1za2lzBNyEBTeeZobs/761m/uo8Vu+pIkDvw23jErllbF9MQX4eqUf0bG0JShd2eBVCCCGEEB1NKVg/H5b9GcKTYMZ/ISKl3XfT3GRn75YDlOXWnJZOch1N2WxY9xYe3X47JxdHeXnrNVajjoJwB+WDfembPpGx464loP8gvAM8v4XtUJvv+avyySqqIczfl99PTmXm6ASCDZ4JbOLM0JagJINchRBCCNG92czwxW9h2wfQ/xK4/CXwa/s8HXc4qiJvYxUlu6txORWGQB2hvfyJGxR+Up3kTjelFI6KitYuc61d5/buBXtLFzydDn3fvhgzMnAlxbLCJ5d3bN9RG+TNDQNv5uYhNxPk2zXmDDmcLpZsK+el1fnsrmggOsTAo1MHcU1mLIaTbE4hRHu05bd4Ce6wpAF+QF9gDzCoA+sSQgghhDg9qvfC+zNh/3Y4789w9u/adB6puclOweYq8rMrKdlVg8ulCAz3I+28WJIyTJjiAz02l8fZ0IA1N/eo9tvW3Fxc9fWt1/j06Y1fSioB48e3tt/WJyRg0Ry8s+sd/rP9P5gdZq4YdAVz0ubQy7+XR57LLzXbnXy4sYRX1xZQXG0m2RTAs1enMXVYH3QdfEZLiCOdMCgppYYc+bGmaenAHR1WkRBCCCHE6ZK3Ej68GVBw/YeQMvG4lzc32inYUkX+xkpKdrvDUVCEH2kTY0nOMBEZ17nhSNnt2AoLj26/nZODvays9RqvgAD0qakEXXQhfi2NFfQpKXgHHb0y5HA5+DDvE17a/BJVlirOjT2X+9LvIzEksdOez/E0NNt5e30xb3y/lwONVtJiQ3j44gFMGhCFVyed2xLiSO1eF1ZKZWuaNqIjihFCCCGEOC2Ugu+fg5WPgWkgzHgbwo4dCCyNNgo2tawc7alFtYSjYZNiSUrvnHCklMKxf/8R54jcwchWUIA6tG3Oxwd93wQMw4cTMn26u7lCv3749O593PqUUqwsXsnz2c9TWF/IcNNwnp3wLMNNwzv0ObXVgUYrC9bt5a0fi2hodnBOSgR3ThjG6MRwj63YCQFtCEqapv3uiA+9gHSgqsMqEkIIIYQ4FdYG+Oxu2PkZDL4Spr4Ivke3jbY02CjYXEXexkpKc1rCUaSB4ZPiSM4wEREb0GF/pDsbm7Dm5mDNycXa0nGuOTcXV11d6zU+vXqhT00h4JyzW9tv+/bti5dv+waoZlVk8dzG59h6YCtJwUm8cO4LTIid0CUCSEmNmdfWFvDehn3YnC4uHNyLOeOTGBrTubOshPg1bVlRCjzifQfuM0sfdUw5QgghhBCn4GA+vHcdHMiByX+H0fdASygw19tazxwdCkfBkQaGT44jOf30hyPlcGArLDy8QtQSjOylpa3XePn7o09JIWjKlNb22/rUVLyDg0/psXNqcng++3nWlqzFZDTx2JjHuDTpUny8Or/JxP/Utr+Bl1fn89mWMrw0uGJ4NHeMTyIp0vMd9oQ4UlvOKD3aGYUIIYQQQpySPV/Dx7eDlzfM/AQSJ7SGo7yNlZTl1KAUhEQZSb/AvXIUHn3q4UgphaOy6nCXuZw9NOfkYsvPR9la2oZ7e+PbNwFD2lBCrr4Kfap7lUgX3ee0hrPyxnLmbZ7HF/lfEOAbwP0Z93Nd/+vw8/H8nKFNxTXMX53P8p37Mei8mTU6gVvP6UufEIOnSxPimH41KGma9gXHaQ2ulJraIRUJIYQQQrSHywVrn4bV/4DeaTRdtJC9Bb7kfZZNWU5tazjKuDCBpHQT4dH+pxRO7OXlmLOysGxxD2i17tmD88htcyYT+tRU/MeMbl0h8k1Kave2ufaoba7l9W2v8+7udwGYPWg2twy5hWD9qa1MnSqlFN/lHuCl1fn8WHCQYIOOe89PYdaYBML8O+71EOJ0ON6K0j87rQohhBBCiJPRXAcf30HTrh8piPgzeQ0TKPu/QlAQ2ssdjpIzTIT1OblwpJTCXlyMOSsL84YszBs2tG6d04xG/FJSCJw82d1pLjUVfWoKPqGhp/lJ/rpmRzPv7HqHN7a9QaO9kalJU7l72N30DujdaTUci9Ol+GZHBS+tzmdbaR1RQXoeuXgA146Mw1/v+e1/QrTFr/6kKqXWdGYhQgghhBDt0ZS/g/xFL5NffTZlttugSiO0l4PMixJITj+5cKRcLqx5ee4Vo5Zw5Khy97DyDg3FmJlJ2KwbMWZmou/XD83bM4NPHS4Hn+d/zr83/5tKcyUTYibw2/TfkhKa4pF6DrE5XHy6qZSX1+RTcKCJvhH+PDltCFekR6P3kSGxons53ta7xUqpazRN28YxtuAppYZ2aGVCCCGEEL/QVGslf1Mled/tprxMA64gNEJjxKh4kjJMhPdpX0MA5XDQvGu3e8WoJRwd2kbnExWFcdQojJmZGEdk4puY6PFucUopVu1bxfPZz1NQV8DQyKE8dc5TZPbK9GhdTVYH7/5czOvf7aWivplBfYL493XpTBncC2+ZgSS6qeOtfd7b8vaSzihECCGEEOJYGmvc4Sg/u5Ly/DpQEOZTyojehSRfN4uwlL5tvi+XzUbz9u3ubXRZWViys3E1NQGgi4sj4PzzMY4YgXFEJrroaI8HoyNtqtzEv7L+xeaqzSQEJTB3wlzOsUY5VAAAIABJREFUizvPozXWNNl488dCFv5QSK3Zzqi+YTx11VDGpUR0qddOiJNxvK135S1vizqvHCGEEEIIaKxpJj+76nA4AsJ6+TEy5ieSLG8TNvJ8uOgZ8NEf935cZjOWLVsOB6MtW1BWKwD6lGSCpl7qXjHKzEQXFdXhz+tk5NfmMzd7Lqv3rSbSEMlfR/+Vy5Mv92ir74q6Zl77roB3fy7GbHMycYCJOyckkxHfeeezhOhobRk4exbwIjAA8AW8gSalVFAH1yaEEEKIM0hDdTMFm9ytvCsK3OEoPDqAUVP7khRbS+jKWdBQDlc8Axmzj3kfzoYGLNnZ7q10P2/AsmMHOBzg5YXfgAGEzpiBcUQmhoyMTm26cDIqmiqYv3k+n+V/htHHyL3p93L9gOsx+HiunXZBVSOvrCng400luBRMTevDnPFJ9OsVeOIbC9HNtOWfIuYBM4APgEzgRiC5I4sSQgghxJmhobqZ/OxK8jZWsn9vPQDhMQGMmppIcoaJkCgjbPsQPrsHDCEweynEjmi9vaO6uvV8kTkrC+uu3aAU6HQYBg8m/Kab3MEoPR3vgO4x0LTOWscb29/gv7v+i0u5uGHADdw25DZC/EI8VtP20jrmr87jq+0V+Hp7MWNEHLePSyQ2zOixmoToaG1as1VK5Wma5q2UcgILNE37oYPrEkIIIUQPVX/Q0rqt7lA4iogNYNRliSSnt4QjAKcDvnkYfpwHcaPh6jexNynMX3zZGoxs+fkAaH5+GIYNI+LuuzFmZmJIG4qXoXsNMrU6rby7611e2/YaDbYGLkm8hHuG30OfgD4eqUcpxfqCauavzuO73AME6n24c3wSN43tS2Tg8bc8CtETtCUomTVN8wU2a5r2NFAO+HdsWUIIIYToSeoPuMNRXnYllYWHw9FZlyeSlG4ixPSLlYmmA6gPZmPf9gPmwAsx58RjnjYT+759AHj5+2PISCf48svcwWjQILQOHOjakZwuJ18UfMG/N/+biqYKzo4+m/vS76NfWD+P1ONyKVburmT+6jw2FdcSEeDLH6b044az4gny03mkJiE8oS1BaSbgBdwD3A/EAld2ZFFCCCGE6P7qD1jIy64kf2MllUUNAETGBf5qOFIuF7b8fMwrPsH85ULMZU4clihgC94hRRhHZBJ2w/UYMjPx69/fYzOMThelFGtL1jI3ey55tXkMDh/ME2OfYGTvkR6px+508cWWMl5ek0/O/kZiQg08fvlgrs6IwU/XvV9rIU7G8eYoxSmlio/oetcMPNo5ZQkhhBCiO6qrspCf7W7lfWQ4Gn1FEknpJoIjD2+HU04nzbt3Y8nKomnDBixZG3HW1gLgYwTj6LMxjpuEMbNlhpGXl0eeU0fYXLmZ5zY+R3ZlNvFB8Tw7/lkmxU/ySEvtZruTxVn7eHVtASU1FvpFBTJ3+jAuGdobH++e85oL0V7HW1H6FEgH0DTtI6WUrCIJIYQQ4n/UVZnJ21hJfnYVVcXucGSKD2T0tCSS000ERbjDkbLZMGdvajlftAFL9iZcjY0A6GJiCEgJwKjtxZg+DN2ti9ACIj32nDpKQV0BL2S/wMrilYT7hfPns/7MFSlXoPPq/C1t9c12Fv1YxIJ1eznQaCM9LoS/XTqI8/qb8JIhsUIcNygd+RuS2NGFCCGEEKL7qK00t3arO7DPHXZMCUGMmZZMUnokQREGXBYLli1bqHr3iBlGzc0A+CYnEXTJxRgzR2DsH4du7YNQ/COMvgcmPgrenpsR1BEqzZXM3zyfT/M+xc/Hj3uG3cPMgTMx6jq/a1xlQzP/+b6Qd9YX0WB1MD41krsmJDGyb5gMiRXiCMf7r5D6lfeFEEIIcQaq3W92nznKPhyOovoGMeZKdzjy93Vg2bQJ85sfUp2VhWX7drDbQdPQD+hP6PRrMGRmYszIwCcszH2n+zbA4qvBUgtXvgFDrvLgMzz96m31LNi+gLd3vo1DObi2/7XcNvQ2wvzCOr2WfdVmXlmbz+KsEhxOFxcO6c2d45MYHB3c6bUI0R0cLyilaZpWj3tlydDyPi0fKxk4K4QQQvR8tfvd2+rysis5WHI4HI29Kpn4JD3eeVuxZC3n4EtZlO7eDS4X+Pi4ZxjNnuXuSJeejnfgMQaSZi2ApQ9CcDTcugJ6De7kZ9dxbE4b7+52t/qus9ZxceLF3D3sbmIDYzu9lt0V9by8Op8vtpbjrWlcmRHN7eOS6BshTYyFOJ5fDUpKKWlvIoQQQpyBaiqaWrbVVXGw1B2OeiUGcdYFUfR2FqFtX4t5bhYVeS0zjPR69wyjO+90D3dNSzv+DCOHFZb+HrLfguSJMO01MHb+CktHcLqcLN27lHmb5lHWVMaYPmO4L/0+BoQP6PRaNhZVM39VPit3V2L09ebmsQnccnYivYL9Or0WIbqjnrUBWAghhBAnpaaiqaUhQyUHS5sAiIrxI6Ofhcj9G1Er1mH/TzF1tMwwSk8n+NKpGEdk4jd4MF5tnWFUVwqLb4TSLDjnATj3YfDq/v82q5Ti+9LvmZs9l5yaHAaGD+RvY/7G6D6jO72O1TlVvLQ6n5/3VhNq1HH/xFRmjYknxNg950wJ4SkSlIQQQogzVHVZU+uZo+oydziKDLYxxDeX0B3L8FmdB4AzOBjDiExCr7sWY+YI/Pr3Q/M5iT8hCtfBB7PAboFrFsHAqafz6XjMtqptPJf9HBsqNhAbGMsz455hcsJkvLTOa63tdCmWbivnpdX57Cyvp3ewH3+5ZCAzRsZi9JU/94Q4GfKbI4QQQpxBDpY1kr/R3a2upsIMKMK1g/QrXU9E0Q/obXX4REZiHDEC463XuWcYJSWd2gwjpeDnV+GbhyA0AWZ9Cab+p+speUxhXSEvbHqB5UXLCfML46FRD3FVylXovDuv1bfV4eTj7FJeWZNP4UEziZH+PH3VUC4fFo2vj8xAEuJUSFASQgghejCllHvlaEM5uetLqat1gVKENO4ltSKLyKrNBJgCMWZmYpz9IMbMTHRxcaevTbTdAl/eD1vehdQLYdor4Ne9u6zl1uSycMdClhQswdfbl7vS7uLGQTfir+u85giNVgf//amI17/bS2WDlSHRwbx0fTqTB/XCW2YgCXFaSFASQgghehilFAf2VrPnm50U7G6kwaoH5SKkLo/Uyk308a8lLH0AxhmXYMz8K7revTumkNpieP8GKN8KEx6CcQ/CqaxMeZBSig0VG1iwYwHfl36PwcfAjP4zuHXIrUQYIjqtjuomGwvX7eXNH4uos9gZkxTOv64ZxtjkcJmBJMRpJkFJCCGE6AEcDQ2UrdpE3vpSiqv0NHmHtISjIgZ6ldG3fyBh09IwZl6NT3h4xxdUsBo+uAlcTrjufUi9oOMfswM4XA6WFy1n4Y6F7Dy4kzC/MO4Zdg/T+00nxC+k0+ooq7Xw6toC3ttQTLPdxeSBUdx1bjLDYjuvBiHONBKUhBBCiG7IUVODOWsj5T/sYG+elXItFrMxClQk4a5y+vWqJ2lsPOFjrsM7qBNHHyoFP7wIK/4KEakw478QntR5j3+amO1mPsn7hEU7F1HaWEpCUAJ/Gf0XpiZNRe+t77Q68iobeXlNPp9uKgXgsmHR3DkhkWTTMeZSCSFOKwlKQgghRDdg31+JZWMWTRuyqNhSRKklgsrIYViMQ8DowhRgJm2IjtQLhxIQ5aEzQLYm+Owe2PExDLwMLpsP+gDP1HKSDlgO8N9d/+X9Pe9Tb6tnuGk4fxjxBybETujULnZbS2qZvyqfb3ZWoPfx4oaz4rn1nL7EhBo7rQYhznQSlIQQQoguSLlcNG/bRsOKFdSvWEl1lYPKyOFURqVjMZ2NhqJ3tI6RZyeQlNkLQ6CHZ+RUF8B7N0DVLpj4Nxh7H3SjMzN76/by5o43+SL/C+wuO+fFncfsQbMZZhrWaTUopfgh/yDzV+exLu8gQX4+3HNuMrPHJBAe0HmrWEIINwlKQgghRBehHA7MWVk0LF9B/YoV1DbpqIzKpCruDszxgWgaRPcLITkjisThkRgCusgA0dwV8NHNoHnB9R9C8vmerqhNlFJsqtzEgh0LWL1vNXpvPZcnX87MgTNJCE7otDpcLsWynft5aXUeW0rqiAzU86cL+3PdqDgC/Tqv1bgQ4mgSlIQQQggPclmtNK37gYbly2lYtYp6u5HK3iOpGnA/TQSieUFM/zBGpZvoOyyi64QjAJcLvn8Wvn0CogbDjLfdc5K6OKfLyap9q1iwYwFbq7YSog9hTtocZvSbQbihExpdtLA7XXy6qZSX1+STX9VEXJiRJ64YzJXpMfjpvDutDiHEsUlQEkIIITqZs7GRxjVraFi+gqa1a2kgkMqYMRxI/xMNroCWlaNQRmSYSBwW6fltdcfSXA+f3gm7v4Qh18Clz4Nv1z4/0+xo5vP8z3lzx5sUNxQTExDDQ6Me4rKkyzDqOq92i83JexuKeW1tAWV1zfTvFcgL1w7nosG98PHunu3TheiJJCgJIYQQncBRXU3jt99Sv3w55h9+pMknlKqEs6ka8zfqHf6gQZ+kENIzTSQON2EM6oLh6JADufDedXAwHy74B5x1Z5c+j1TTXMN7u9/j3d3vUmOtYXD4YP45/p9MjJuIt1fnrdzUme289WMhC34opLrJxoiEUJ64YggT+kXKDCQhuqAODUqapk0Bnge8gdeVUk/+4uvjgLnAUGCGUurDI77mBLa1fFislJrakbUKIYQQp5u9vJyG5StoWL4c88aNmPXhHEwaT+WE/6PO7l7B6J0QTFpGFEnpkfgHd4MD+7uXwMd3gI8ebvwM+p7j6Yp+1b76fby5800+y/uMZmcz42PGM3vQbDKiMjo1mFTWN/P693t5Z30RTTYn5/U3ceeEJEYkhHVaDUKI9uuwoKRpmjfwb2ASUAJs0DTtc6XUziMuKwZmA78/xl1YlFKd12pGCCGEOA2sBQWt4ah5+3YsfuFUD5hE5eTp1DQbAOgVG8SQjCiS0k0EhHaDcATu80ir/wFrn4Y+w2H62xAc4+mqjmlr1VYW7ljIiqIV+Hj5cEniJcwaNIukkM6d51R0sImX1xTw0cYSHC4Xlwztw50TkhjQuxPnWgkhTlpHriiNBPKUUgUAmqa9B1wGtAYlpVRhy9dcHViHEEII0WGUUjTv2EnDiuU0LF+BLT+fZn0o1WkXU3nRTVSb/QAw9QpiTIaJ5AwTgWF+Hq66nSy18PHtkPsNDLsBLn4WdF3rObiUi7Ula1mwfQHZldkE6gK5efDNXD/geiKNkZ1ay46yOl5eU8CSrWX4eHlxVWYMd4xLJD7cv1PrEEKcmo4MStHAviM+LgFGteP2fpqmZQEO4Eml1Ke/vEDTtNuB2wHi4uJOoVQhhBCi7ZTTiSU7m/rly2lYsQJHWTlWQxg16VOpHHgPBxrc54siIwIZ3RKOgiIMHq76JO3fCe9fD7X73AEp85YudR7J6rSypGAJC3csZG/dXnr79+YPI/7AtJRp+Os6N5j8vLea+avzWL2nigC9D7eNS+SWsX0xBXWtUCmEaJuODErH+q+oasft45RSZZqmJQLfapq2TSmVf9SdKfUq8CpAZmZme+5bCCGEaBeXzYZ5/Xp3G++V3+KsrsbmH0HtiMvZP3IIVbXu/6VGhARw1vkmktJNhJi6dhe4E9rxCXx6N+gDYPaXEHeWpytqVWetY/Gexbyz6x0ONh+kf1h/njznSSYnTEbn1Xmzh5RSrNpTyfxV+WQV1RDm78vvJ6cyc3QCwQaZgSREd9aRQakEiD3i4xigrK03VkqVtbwt0DRtNTAcyD/ujYQQQojTyNXURON339OwfDmNa9bgamzEHhxF/chrqAgaxP5qL1AQZvRn1Dh3OArt1QO2V7mcsPJRWPc8xIyEa96CoN6ergqAssYyFu1cxEe5H2FxWBjbZyyzB89mVK9RndqgweF0sWRbOS+tzmd3RQPRIQb+dulApo+Iw+ArM5CE6Ak6MihtAFI0TesLlAIzgOvackNN00IBs1LKqmlaBDAWeLrDKhVCCCFaOGtraVi1mobly2latw5lteKMiKZuwk1U+PdnfyUoO4TqjIy4yERyRhRhfXpAODrEXA0f3gwFqyDzZpjyFPh4vlX5zoM7Wbh9IcuKlqGhcWHfC5k1aBb9wvp1ah0ul2LJtnKeW5FDQVUTyaYAnr06janD+qCTGUhC9CgdFpSUUg5N0+4BvsHdHvw/SqkdmqY9BmQppT7XNG0E8AkQClyqadqjSqlBwADglZYmD164zyjt/JWHEkIIIU6Jff9+GlasoGHFCsw/bwCnExXdl7qL7qbCkEp5hRPVCMFGAxkXRpGcYSKsj3/Pm31TvtV9HqmhAqbOg/SZHi1HKcW6snUs3L6Qnyp+wl/nzw0DbuCGgTfQy79Xp9eyYlclzy7bw+6KBlKjAnj5hnQmD+yFl1cP+zkQQgCgKdUzjvZkZmaqrKwsT5chhBCim7AVFbnD0bLlWLZsAUBL7E/9iMso1ydTVmLH5VIERfiRnOkORxExAT0vHB2ydTF8/lswhsE1iyAmw2Ol2J12vir8ioU7FpJbk4vJYOKGgTdwVepVBPoGdmotSinW5R3kn8v2sHlfLQnhRu6flMolQ/vgLQFJiG5J07SNSqnME13XoQNnhRBCiK5CKYV1zx4alrk71VlzcgDwHjyMphv/TJmuL6WFzbj2KwLDvUibGEtyhonIuMCeG44AnHZY9mf46SWIPxuuXggBndtO+5AGWwMf5XzEol2LqDRXkhySzN/H/p2L+l6EzrvzGyNsLKrmmW/2sL6gmj7Bfjw5bQhXZsTIFjshzhASlIQQQvRYyuXCsnmLu1PdihXY9+0DTcM3YxSW2x6jTIunpMCMs9hFQKiLoefGkJwRhSmhh4ejQxqr4IPZUPQ9jLoTJj8OHggkFU0VvLPrHT7M+ZBGeyOjeo3i0TGPMrbPWI98H7aX1vHssj2s2lNFRIAvf710INeOjMNPJ00ahDiTSFASQgjRoyi7naaff25p470SZ9UB0OnQjx6L9bK7KVMxFOc04Mx14R9sY9C4PqRkRhGVEIR2Jm2lKt0I788E80G44lVIm97pJeTU5PDmjjdZWrAUFy4uiL+AWYNnMSh8UKfXApBX2cC/luewdFsFwQYdf5jSj9ljEjD6yp9LQpyJ5DdfCCFEt+eyWGhat84djlatxlVfj2Y04nf2BBqGTKTE3oviXXU4trswBlkYOLYPyZkmeicGn1nh6JDsRbDkAQiMgluWQe+0TntopRQ/VfzEwh0LWVe6DoOPgen9pzNz4EyiA6I7rY4jFR80M3dlDp9uKsWg8+a356dw6zl9CfKTOUhCnMkkKAkhhOiWnPX1NK5eTcPyFTR+9x2quRmv4GCM506kfvD5lFgiKNxRg2OjE0NgI/1H9yY5w0TvlJAzt0uZwwZf/xGy3oDECXDVAnfzhs54aJeDZYXLWLhjIbuqdxHuF85vhv+G6f2mE6wP7pQafqm8zsKL3+axeMM+vL00bj0nkTnjkwjz93w7dCGE50lQEkII0W04qqpoWPktDStW0LR+PTgc+JhMBF4xjYYB51LcEMLebQexr3Pi519H6kh3t7rolBC8zvQD+PXl8MEs2PcTjL0Pzv8LeHX8mRuz3czHuR+zaOciyprKSAhK4G+j/8YlSZeg99Z3+OMfy4FGKy+tzmfR+iKUUlw7Mo57zksmKsjPI/UIIbomCUpCCCG6NFtJCQ3L3TOOLNnZoBS6+DhCZ82mPvUcimr82bvlILZvbeiN1SRnmNzhqF8o3md6ODqkeD0svhGsje5VpMHTOvwhD1gO8M6ud3h/z/s02BpIN6Xzx5F/ZHzseLw0z3xf6ix2XltbwH/W7aXZ7mRaegz3np9CbJjRI/UIIbo2CUpCCCG6FKUUtrw86pcvp2H5Cqy7dgGg79+fsLvvpiH1HIoqdOzdXIU1vxFfQzOJaREkZ0YR0z8Ubx8JR62Ucm+z++qPEBwDMz+FqIEd+pAFtQW8ufNNvsj/AofLwcT4icwaNIu0yM47B/VLTVYHC38o5JU1+dQ3O7h4aG/un5hKsinAYzUJIbo+CUpCCCE8TrlcNG/f7m7GsGw5tqIi0DQMw4YR8eAfaEwZQ2GxomBTFc3bD6Dz86ZvWgQpGVHEDgjDWyfh6H/Ym2HpA7DpbUiZDNNeA0NIhzyUUoqN+zfy5o43WV2yGr23nmkp07hx4I3EBcV1yGO2RbPdydvri3hpdT4Hm2xMHGDid5P6MbBPkMdqEkJ0HxKUhBBCeIRyODBnbWydceTYvx98fPAfOZKQ2bNpTBxJYb6d/E2VWDaU4qP3pu/QCJIzTMQNCsNHZtr8uroSd+vvsmwY//9g/B/B6/SHSafLycrilSzcsZBtB7YRog/hzrQ7mdF/BmF+ndMk4ljsTheLs/bx4so8KuqbGZsczgOT+5EeF+qxmoQQ3Y8EJSGEEJ3GZbXStO4HGlasoPHbb3HW1qL5+RFwztkEnH8/jQkZFOw2k59diXlNIT6+XiQMcYej+MHh+PhKODqhvd+5h8g6rDDjv9D/4tP+EBaHhc/yPuOtnW+xr2EfsYGxPDLqEaYmT8XgYzjtj9dWTpfis82lzF2RS3G1mfS4EP41PY0xSREeq0kI0X1JUBJCCNGhnI2NNK5Z4+5Ut2YtLrMZr8BAAs6d8P/Zu+/oqO4z/+PvO6Pey4x676iABKIIEB1MsTGuOG5gx/E6iZM4ceLUTdZONptNnGyyyW7yc4rBOLEd2yEIJIrBFIHBpiMJkFAD9Rm1mVGddn9/DGZth9iAJUaC53WOz0Gee+c+OmekmY/u9/s8BCxcRH/cJOqqTNQdNNC/rQatp4ak3HBSp0SQlKfD01vC0RVRVTj0W9jxPQhPhdV/Bn3GiF6ie6ibV86+wqtnX6V3uJeJuol8dcpXWRC/AO116KD3zzidKtuq2vnFWzXUGvrIjg7iT2sLmZ8ZgaLcpK3ghRCfmgQlIYQQI87e3U3f229jeWsn/e+8g2qzodXpCLrtNgIWLaI/agK1J7up22Ogr6cKjYdCYk44aYWucOTlI29PV8U6AJu/DBWvQ9atsOq34DNy+3AumC+wvmo9m+o2MewYZl78PNbmrGVyxGS3BhFVVdlTbeT5HdVUtZpJ1fvzP/dPZllu1M07K0sIMWLknUgIIcSIsLW1udp4v/UWA0ePgtOJZ2wsoQ88QMDiRfSFpVJ3rJParQYs3SfRaBUSssOYsSqVpIk6vH3lLema9DTCaw9CeyUs+B7MfnrE9iOdNJ5kXeU6dl3YhYfGg5WpK3k452FSglNG5Pk/jYN1Xfx8RzVHzvcQH+bLz++ZxKqCWLQSkIQQI0TelYQQQlyz4fr6S+FoqLISAO/0dHRP/AsBixbRFxBH7VEjtRs7MHceQ6NRiJsQxtRbk0nJ1+Ht5+nm72Ccq3sb3ngUVCc88DqkL/7UT+lUnext2su6qnUcMxwjyCuIx/Ie4/4J96Pzdf9enxNNvTy/vZr9tZ1EBnnzo1W53FsYj5e0hRdCjDAJSkIIIa6YqqoMVZ3GstM148haVweAz6SJ6J/+GgELF9LvHUHtUQPnXu3AZGhH0SjEZYUyZVkSKfl6fPwlHH1qqgoHfgm7ngP9BLjvZQj7dHd5hh3DbK7bzPqq9TSaG4nxj+Fb077FHWl34Ofp/oGsZ9rM/HxHDTvPdBDm78X3VkzgwRmJ+Ej3QyHEKJGgJIQQ4mOpDgeDx465BsDu3Im9tQ20WvymTiX0/s8QuHAhFmcgtUc7qH3JQE97I4oCMRmhFCxOICVfj2+gl7u/jRvHcB9s+gKc3gQ5d8LtvwEv/2t+OtOwideqX+MvZ/5C11AXE8Im8NM5P2Vx4mI8NO7/mFBv7OO/dp5jy6lWArw9eHpxBo/MTibA2/21CSFubPJbRgghxD9wWq0MHDrkWla3axeO7m4ULy/8Z80i8MkvETB/HpZhL2qPGqh94Tzdrf2gQExaCBPnx5FSEIFfkISjEddVB68+AJ3VsPiHMPNLcI3NFJotzWw4vYGNtRsZtA8yK3YWj+Q8wrSoaWOiU1xzzwD/vescbx5rwdtDwxfmpfJ4cSrBslxTCHGdSFASQggBXJxxVF6Oedt2+vbswdnXh8bfn4C5cwlcshj/2cVYBhRXOPqfc3Q19wEQnRZM8eoMUifr8Q/2dvN3cQOr2Q5vfg40Wnjwb5A6/5qepqqrinWV69hxfgcaNCxPWc6anDVkhI5sK/FrZTAP8Zvdtbzy3gUURWFNURJfmJ+KLkBeW0KI60uCkhBC3MRUm43+Q+9iLivD8tZbOPv60IaGErj0FoIWL8avqIg+s8MVjv77NMYLFgCiUoKYfU86qZP1BIT6uPm7uME5HbDvedjzHxCVB6tfhtDEq3oKVVXZ37KfdVXreK/9PQI8A1iTvYb7J9xPlH/UKBV+dXr6rfxubx3rDzZid6jcUxjPlxakERPivgG2QoibmwQlIYS4yahOJ4NHj2IqLcWyfQeOnh40gYEELllC0PLl+M+YTp/ZzrmjBmp/fhLDeVc4ikgKYuZdaaRNiSAwTMLRdWHpgI2PQ/0emHgf3PZL8Lzy4GBz2ChtKGV91Xpqe2uJ8Ivg6SlPc1fGXQR6BY5e3VfBMmTjD+UN/HF/A/1WO6vyY3lqUTqJ4de+70oIIUaCBCUhhLgJqKrKUEUF5tIyzNu2Ye/oQPH1JXD+fIJWLMe/uNh15+iEkdqfn6CjwQyAPiGQojtSSZsSQZBO/rJ/XdXthr89DsMWWPlrKHjoivcjWawWXq95nT+f/jOGQQPpoen8ePaPWZq0FE/t2NjjM2h1sP5gI7/bW0fvgI1luVF8bXEG6ZFjI8AJIYQEJSGEuIENVddgLivDXFaGrakJxdMT/zlzCP7mMwTMm0evSaX6uJG6n52gs8m150gXH8CMVSmkTo4gJML9baFvOg4mEqSbAAAgAElEQVQ77P2Ja7mdPhMe3gSR2Vd0ant/OxtOb+DNc2/Sb+tnevR0npv1HDNjZo6JBg0Aw3YHr77XxG9212K0DDMvU8/TizPJiwt2d2lCCPEhEpSEEOIGY21sxLx1K+ayMobP1YJWi/+MGeg+/3kCFi6gx6Th9HED9T89RU/7AACRyUHMvDONlAIdwXoJR25jaoE3H4ML70DBg7Dsp1fU+ru6u5p1VevY1rANFZUlSUtYm7OW7PArC1jXg93h5M1jzfz3rlpaegeZnhzG/z4wmalJYe4uTQghLkuCkhBC3ABsbW2Yy1zhaKiqCgC/wkKifvB9AhYtptPsSdVxA/U/q8LcOXRxzlEIuXPjSMnXExAqHcXcrmY7bHwCHFa48/cw8d6PPVxVVQ61HWJd1TreaX0HXw9f7su6j4eyHyImIOY6Ff3JnE6Vzada+eXOczR09jMpLpif3JXH7DTdmLnLJYQQlyNBSQghxil7Zyfm7dsxl21l8OhRAHzy8oj45jcJWHILBos3p44bqX/+LAMmKxqtQvyEMKYsSyJ5ok6GwI4Vdiu8/Ry882tXV7u714Eu7Z8ebnPa2N64nfVV6znbfRadr46vTP4K92TcQ7D32Fm+pqoqb53u4Bdv1XC23UJWVCAvPDSFxdmREpCEEOOCBCUhhBhHHCYTlp07MZeW0X/oEDideKeno3/qK/gvXkrHQAAnjhtp+MU5hvvteHhqSMgNJ7VAT2KeDm9f+bU/pvQ0whuPQstRmPo5WPIj8Lx8R8F+Wz9v1rzJy2depq2/jZTgFJ6b+RwrUlbgpR07oVdVVcrPdfLzHdWcbDaRrPPnvz9TwK150Wg0EpCEEOOHvGMKIcQY5+zvx7J7D+ayMvrKy8FmwzMhgfDHP4fv4qV0DIVx7ISRxl+fxzbkwMtHS9JEHSkFehJywvH00rr7WxCXc3oTbPqS69/3vgTZt1/2MOOAkT+f+TN/rfkrFquFKZFT+O7071IcV4xG0VzHgj/Z4cZufra9mvcauokN8eWnd03kzsmxeGjHVp1CCHElJCgJIcQY5Bwepr+8HFNpKX2796AODeERGUnYgw/ivXAp7XY9R44bufC7dhy2VnwCPEmbEkFqQQRxmaFoPeWD6ZhlG4Id34PDv4fYKXD3nyA06R8Oq+utY33VerbUb8GhOliYsJBHch4hT593/Wv+BBXNJp7fUc3eGiP6QG+eXZnDfdPi8faQkC6EGL8kKAkhxBih2mz0HzqEubQMy86dOPv60IaFEXLnHXjOX0q7GsN7Jzpp/lMXTmcn/sFeZM+KIbVAT3RaMBr5q/3Y11kLb6yF9gooehIW/gA8/m/ZnKqqHOk4wrqqdexr3oeP1oe70u/i4eyHiQ+Kd1/d/0RNh4Vf7KhhW1U7IX6efGtZFmuKkvCVu5hCiBuABCUhhHAj1elk4MgRzGVlWLbvwNHTgyYwkMAlS9DOXUa7Np6qk120/aUXVa0hSOfDpIXxpBToiUwKQpE9H+PHqddhy1Og9YTPvAaZSy89ZHfa2XVhF+sq11HZVUmYTxhfyP8C92XeR6hPqBuLvrzzXf38cuc5/n6iBX8vD76yMJ3PFicT5DM2htkKIcRIkKAkhBDXmaqqDFVUYC4tw7x1K3aDAcXXl8D582Hucto9kjlV0Y1hoxmoIyzGnynLk0gt0BMeGyAdw8Yb6wBsfQaOb4CEIrjrjxAcC8CAbYC/1/6dl06/REtfCwmBCfzrjH9lZepKfDwu39TBnVp7B/n12+f465FmPLUKjxen8MTcVEL9x04zCSGEGCkSlIQQ4jpQVZXhmnOYy8owl5Vha2pC8fTEr3gOXnNW0O6dyonKHrq29gON6BMCmbEqhZR8PaFRnzxwVIxRhjPw+lowVkPx12Het0HrQddgF6+cfYVXq1/FNGxion4iXy/8OvPj56PVjL1la0bLMP+7p5Y/v3sBVVV5cHoCX5yfRkTQ2AtzQggxUiQoCSHEKLI2NmK6GI6stXWg1eJXVAT3P0mHbxpHTpsw7RkEpZno1GBm35NOcr6OoHBfd5cuPg1VheMvQ9k3wDsAHvobpC6g0dTIS6dfoqSuBKvDyrz4eTyS+wgFEQXurviyTAM2/t++Ol480IjV4eSuybF8eWE6caF+7i5NCCFGnQQlIYQYYba2NsxlWzGXlTFUVQWAb+FUNF9ZS7tfBo1nLfS9O4yi6SAuM4T8RQkkT9LhH+zt5srFiBi2wJavQsXrkDwX7vw9JwbbePHtr7C7aTeeGk9uS72NNTlrSA5Odne1l9U3bOfF/Q28UF6PZcjObZNi+OqidFL0Ae4uTQghrhsJSkIIMQLsnZ2Yt2/HXLaVwaNHAfDKm4TjX35AR0AG52v6GTxpQ+vRTXx2GNNXppA0UYePv2x+v6G0nYTXH4GeBpzzv8vuxALWlX+dE8YTBHkF8bmJn+MzWZ9B56tzd6WXNWRz8PKh8/zvnjq6+60smhDJ00symBAd5O7ShBDiupOgJIQQ18hhMmHZuRNzaSn9h94FpxOP9Cysj3yXdv9MmuoHGa624+FtISk3nJQCPYm54Xj5yK/eG46qwuE/wPbvMOSno2TxM7zUsY/zjRuIDYjlW9O+xR1pd+DnOTaXrFntTv56pIlfv32ODvMwxek6nl6SSX58iLtLE0IIt5F3ayGEuArO/n4sb+/GXFZG3/79YLOhJKbRf983MARk0nTeir3BgbffIMkTdaQU6ImfEIaHzJW5cQ32QsmT9FaX8mpyPq942uk+9xeyw7P52ZyfsShxER6asfl263CqbDzewq921dDUPUhhYii/uq+AGSnh7i5NCCHcbmz+5hZCiDHEOTxM3759rnC0ew/q0BDOmGT6bv8KHQGZtDTbcLaq+AY5yJweRWq+npjMELQyAPbG13yEpr89wgalj78nJTHo7KRYV8wjuY9QGFk4Zlu5O50qWyvb+cVb1dQZ+8mNDeK5R3KZl6EfszULIcT1JkFJCCEuQ7XZ6D90CHNpGZadO3H29WGPSMB8y+fp8M+kvd2B2gkBToW8OXGkTNYTlRKMRgbA3hycTir3/IAXz77CziBfNJpgVqSsYG3OWtJC09xd3T+lqiq7qw08v72G021m0iMC+O0Dk1maGyUBSQghPkKCkhBCXKQ6HAwcPeoKR9u34+jtZTg8AVPxZzEEZGLoVMEEIT7eFCzRk1qgR58QKB8wbyJO1cn+ujJePPBDjjBAoL8/a7Pu4/7cR4n0j3R3eR/rnbpOnt9ezbELvSSE+fFfqyexclIsWgn3QghxWaMalBRFWQr8CtACf1BV9ScfeXwO8EtgInCfqqpvfOCxNcD3Ln75I1VV149mrUKIm5OqqgxVVGAuLcW8dRt2g4GB0ARMUx+mIyCT7h5gEMLD/Zl2q56UAj1h0f4Sjm4yVoeV0vpS1p/4LXUDbUTZHXw9Zi53LfgpAd6B7i7vYx270MPPd1RzoLaLqCAffnxHHvcUxuEpS0OFEOJjjVpQUhRFC/wPsBhoBg4rilKiqurpDxx2AVgLfP0j54YBPwAKARU4evHcntGqVwhx81BVleGaGsylFwfBNjfTH5JEb8FqOqZlYOrTgA0iQ4Iomu+6cxSsH5vdysToMlvN/LX6r/zlzF8wDhrJtFr5sd2HpSvX4Rk7xd3lfayqVhO/2FHDrrMGwv29+Ndbs3lgegI+ntJYRAghrsRo3lGaBtSqqloPoCjKq8DtwKWgpKpq48XHnB859xbgLVVVuy8+/hawFHhlFOsVQtzgrI2NmMrKMJeWMVxXjzkkhZ6JqzDkZdI3qEEBYmJCmFgQQUq+joBQH3eXLNykra+NDWc28GbNmwzYByjChx+1GShKXYGy8lcwhu8i1Rr6+K+dNZSeaiPIx4Nv3JLJ2plJ+HvLanshhLgao/lbMxZo+sDXzcD0T3Fu7AjVJYS4idhaWzFv3Ya5tJSBM2fpDUmnZ8IyDKkZDFq1aLQKcSlhTC3QkzxJh2+gl7tLFm50tvss66rWsa1hGwBLdQWsrd5PVr8Rlv8MCh6CMbrssql7gF/tOsffjjXj46nlyflpfG5OCsG+MtRYCCGuxWgGpcu9k6gjea6iKI8DjwMkJCRceWVCiBuavbMT87btmMvK6D9+iu7QTLozFmBY+ARWuxYPTw0J2a4BsEkTdXj7yl/ab2aqqnKw9SAvVr3IobZD+Hn48UDWZ3iwp4fog78DfSbcvwkis91d6mV1mIf4zdu1vHr4Aoqi8OisZJ6Yl4ouwNvdpQkhxLg2mp8OmoH4D3wdB7RexbnzPnLuno8epKrqC8ALAIWFhVcawoQQNyCHyYTlrbcwl5Vhfu84XSFZdKXMwTh/LXanFi8fLYl5OlIn60nIDsfTW/Zp3OxsThvbGraxvmo91T3V6H31PDX5Ke6Jmk3Q5q/AhYNQ8CAs+yl4+bu73H/Q3W/lt3tqeengeRxOldVT4/nSgnSigmXJqBBCjITRDEqHgXRFUZKBFuA+4P4rPHc78GNFUUIvfr0E+PbIlyiEGM+c/f1Y3t6NuayMnoNH6QrOpDOhiK7i+3GoGnz8PUnP15GSryc+Kwytp3T5EtBn7ePNc2+y4fQGOgY6SA1O5bmZz7EiZQVedbvhT0vBPgx3vACTVru73H9gHrLxh331/HF/A4M2B6sKYnlqYQYJ4dJwRAghRtKoBSVVVe2KojyJK/RogT+pqlqlKMpzwBFVVUsURZkKbARCgdsURXlWVdUcVVW7FUX5Ia6wBfDc+40dhBA3N+fwMH379mEuK6O7/DCGwEw6Y6fTPeNOVDT4B3uRna8nZXIEMWnBaKQFsrjIMGDg5TMv80b1G1hsFqZGTeX7Rd9nduxsNA477HwWDv4GovLg7nWgG1uDYwesdta908j/21uPadDG8rwovrY4g7SIsdtYQgghxjNFVW+MFWuFhYXqkSNH3F2GEGIUqDYb/YcOYd5SinHvYTr80+mMnkpPQBKgEBTuQ8rkCFIL9EQmBaHIAE3xAbU9tayrWkdpQylO1cnixMU8kvMIOboc1wE9jfDGo9ByFKZ+Dpb8CDzHzvK1dtMQJSdbeGFfA519w8zP1PP0kkxyY4PdXZoQQoxLiqIcVVW18JOOkx3MQogxSXU4GDhyFHNZGR27D9PunYIxcgrm/CUAhEb5UTg5gpQCPbq4ABkAKz5EVVUOtx/mxaoX2d+yH18PX+7NuJcHsx8kPvAD22dPb4JNX3L9+96XIPt29xT8EW2mQbZWtFNW0caR864RgjNSwvh/D01mSmKYm6sTQoibgwQlIcSYoaoqQ6dOYSoto3X3Udo1iRgjCujLngOAPj6A6RfvHIVGjb3N9cL97E47O8/v5MWqFznddZownzCezH+S1ZmrCfEJ+b8DbUOw43tw+PcQOwXu/hOEJrmtboCW3kG2VrRRVtHGsQu9AGRFBfL04gyW5UWTFhHg1vqEEOJmI0FJCOFWqqoyXFODaUsZzW8fp80ZjSGigMHU6YBKVHIQk6ZEkpKvJ0jn6+5yxRg1YBtgY+1GNpzeQEtfC0lBSXy/6PusTF2Jt/YjbbI7a+GNtdBeAUVPwsIfgId75mc1dQ+wtbKN0op2Tja5wlF2dBDfuCWTZblRpOglHAkhhLtIUBJCuIW1uZneks2cf+sErTY9Rl0+w/GTUBSVmLRg0qZGkzxJh3+wzIIR/1znYCd/OfMXXqt+DbPVTEFEAc9MfYZ58fPQKJdp5HHqddjyFGg94TOvQebS617zha4Byipdd45ONZsAyI0N4pmlmSzPjSZJJ3dLhRBiLJCgJIS4bhy9vZi3badly14auoNoj5yGNXI1GkUlPjOY1GmxJE/S4ePv6e5SxRjXYGpgfdV6Ntdtxua0sSBhAWtz1pIfkX/5E6wDsPUZOL4BEorgrj9CcOx1q7exs5/Sija2VrZR2WIGYFJcMN9alsXy3Ghp7S2EEGOQBCUhxKhyWq307d1L16Yy6s/206qfhjn4bpQAlfj0ALLmJJGYF46Xj/w6Eh9PVVWOG47zYtWL7Gnag7fWm1Vpq3go+yGSgpP++YmGM/D6WjBWQ/HXYd63QTv6r7d6Yx9lFa5ldWfaXOEoPz6E7y6fwNLcKOLDJBwJIcRYJp9MhBAjTlVVBo8do3fTZs4fqKE1MA9DxC0407wICdVSNC+JzBlRsqxOXBGH08Hupt28WPUip4ynCPEO4YlJT3Bf5n2E+4b/8xNVFY6/DGXfAO8AeOhvkLpgVGutNVgou9it7my7BYDJCSF8b8UEluVFExsi++yEEGK8kKAkhBgxww0NmDdvpr1sL01qEm3RMxhKn4OnJ2RNi2LC7FjXnCNp5S2uwJB9iJK6EtZXreeC5QJxAXF8Z/p3WJW2Cl+PTwgcwxbY8lWoeB2S58Kdv4fAyFGps6bDQukp17K6mo4+FAUKE0P5/q3ZLMuLIjpYwpEQQoxHEpSEEJ+Kvbsbc9lWuktKaWr3oC26iJ7EL4CiEJsexITZcaQU6PH00rq7VDFO9Az18OrZV3nl7Cv0DPeQG57L83OfZ1HCIrSaK3gdtZ2E1x+BngZY8D2Y/TW4kvOukKqqVHdYKDvVRlllO7UGVziamhTGsytzWJobRWTQ2BlYK4QQ4tpIUBJCXDXn0BB9u3fTu6mE1hNNtEVMxRD1EPYwbwJDPJk6O46sGVHSzltclSZzE+tPr2dT7SaGHEPMjZvL2py1TImccmV3IVUVDv8Btn8H/HSwZgskzRqR2lRV5XSb+dIQ2PrOfjQKTEsOY01RDrfkRBEh4UgIIW4oEpSEEFdEdToZeO8wps0ldO56h9bAXNrj5tGfr0froZA2JZKsmdHEpoegaGRpnbhyp4ynWFe1jp3nd+Kh8eDWlFtZk7OG1JDUK3+SwV4oeRLObIb0JbDqd+D/MfuXroCqqlS1ml3d6iraaOwaQKNAUWo4j85O5pacKPSBss9OCCFuVBKUhBAfa/jcOUwlm+nZUkaHTUdb7Gy68r+LiobI5CCmzowmvTASL1/5dSKunFN1sq95Hy9WvsgxwzECPQN5NPdRHpjwAHo//dU9WfMReOMRMLfCkh/BjC+C5jIzlK6AqqpUtJguhqN2LnQPoNUozEwN5/E5qdySE0l4gIQjIYS4GcgnGyHEP7AbjZhKSzGVlNB13kRbzEw6Mr6GVfHBL8iTgqJosoqiCY2SwZji6lgdVrbUb2F91XrqTfVE+0fzzNRnuDP9Tvw9r/L15HTCwd/ArmchMAYe3Q5xhVddk6qqnGw2UVbhGgLb3DOIh0ZhZpqOL85PZXF2FGH+Xlf9vEIIIcY3CUpCCACcAwNYdu7EVLKZ3vdO0KGbTHvyvZgjItBoFZIn6siaGU1Cdhga7bX9tV7cvEzDJl6veZ0/n/kznYOdZIVl8ZPin7AkaQmemmsYMNzfBX9/As7tgAm3wcpfg2/oFZ/udKocb+pla0UbWyvbaekdxFOrMDtNx5cXprMkO5IQPwlHQghxM5OgJMRNTHU46D94CPPmEkxv7aLLJ5GO5PkYZq3GqWrQxQcwuyiajGmR+AbIh0Zx9Vr7WtlwegNvnnuTQfsgs2Jm8R/F/8H0qOnX3ia+8QC8+RgMdMLy52HqY3AFz+V0qhy70ENZRTtbK9toMw3hpdVQnK7jq4szWDwhkmC/awhtQgghbkgSlIS4yaiqyvDZs5hKNmPesgVzH7QnzKF9xg8Zcnrj7e9BzrQoJhRFo08IdHe5Ypw603WGF6teZEfjDhQUliUvY03OGjLDMq/9SZ0OKP8F7PkxhCbBYzshetLHnuJwqhw930NZhWvOUYd5GC8PDXPS9TyzNJOFEyIJ8pFwJIQQ4h9JUBLiJmFrb8e0eTPmks3011/AEDUVQ86TdKNDUSAhO5ysomiSJ+rQesrSOnH1VFXlQOsB1lWt4922d/H39OfBCQ/yYPaDRPlHfbont3TA3z4HDXsh92647Zfgffkg73CqvNfQzdZK17I6o8UVjuZl6FkxMZoFWREESjgSQgjxCSQoCXEDc/T1Ydm+A9PmzfS/+y69QakYs5fTHp+O3akhJNKPGUVRZE6PJiBUOnmJa2Nz2NjauJV1Ves413OOCN8Ivjbla9ydcTeBXiNwV7JutyskDfe59iIVPPQPS+3sDifvNXRTVtnGtsoOOvuG8fHUMD8zgmV5rnAU4C1veUIIIa6cvGsIcYNRbTb6DhzAXLIZy65dDOKLIesW2hevps/qhaePlowpEWTNjCEqJeja94mIm57FauHNmjfZcGYDhgEDaSFp/GjWj1ievBxP7QjcsXHYYc9/QPnPQZ8JD5dAZPalh+0OJ4fquymtaGNHVTtd/VZ8PbUsyIpgeV408zL1+Es4EkIIcY3kHUSIG4CqqgxVVmLaVIK5rAxrr5nuhCI65v0rhmFXJ7DYpBCmz4wmtSACT2+tmysW41l7fzt/PvNn3qh5gz5bH9OjpvPszGeZFTNr5IK3qQXe/CxcOAgFD8Kyn4KXPzaHk4N1XZRVtLG9qp2eARt+Xq5wtCIvmnmZEfh6yetbCCHEpydBSYhxzNrc4upYV7KZ4YYG+sJSMRZ8llZNElYbBPh7U7gomqwZ0QTrfd1drhjnanpqWF+1nrL6MlRUliQuYU3uGnLCc0b4Qtth4xNgH4Y7XsCacw8H6jrZWlHLjtMd9A7Y8PfSsig7kmW5rjtHPp4SjoQQQowsCUpCjDMOkwnztu2YSkoYPHoUq2cA3YV30ZL9FKZ+D7QaDSn5eibMiiYuIxRFI0vrxLVTVZV3299lXdU6DrQcwNfDl9VZq3ko+yFiA2JH9mJ2q2t47MHf4IzM5d0pP+eNal/e2vgW5iE7gd4eLMqOZHleNMXpOglHQgghRpUEJSHGAdVqpW/fPkybSujbsweH3YEpeyGGlf9Ja18AqhMiI4LIL4omvTACb5kFIz4lu9POjsYdrKtax5nuM4T7hPPlgi9zb+a9BHsHj/wFexpxvv4ImtZj7A9dxVc67qbrb10E+niwODuSFXnRzE7X4e0h4UgIIcT1IUFJiDFKVVUGj5/AVLIJy9ZtOEwmBmOy6Fz6DE32OIYGnfjixaSFrplHYTH+7i5Z3AC6h7opqy9jw+kNtPa3khSUxL8V/Ru3pt6Kt3bkOyMO2RycfftlMt/9NjaHyjO2p3inZyZLcqJYkRfNrDQdXh7Srl4IIcT1J0FJiDHG2tiIqWQzps2bsTU1YfcPwTT7AZr9c+jqBk2/QtLEcLJmRpOQE4ZWKx8ixbVzqk7OdJ+hvLmc8uZyKjorUFGZHDGZb0//NnPi5qBRRvY1NmRzsKfawPaT55la8wvuV7ZTQRqlmf/OfVMm89+pEo6EEEK4nwQlIcYAe08P5rIyTCUlDJ08hapoGJx5O22znqa50wvHsEq4zp9Zd0eTMS0KvyAvd5csxjGL1cLB1oOUt5Szv2U/nYOdKCjk6nL5fP7nmRc3jwnhE0b0mgNWO3uqjZRWtLH7rIFIWzO/9f41WUojzRM+S9YdPybPy2dErymEEEJ8GhKUhHAT5/Awfbt3u/YdlZeD3Y49exqdn/l3zg/o6TfZ8DZ7kD0rkqyZ0egTAmXmkbgmqqpS11tHeUs55S3lHO84jl21E+gVyKyYWcyJm8PMmJmE+4aP6HX7h+3srjZQVtHG7rNGBm0Owv29+EFSFXe3Po/G0xtWvUZc5tIRva4QQggxEiQoCXEdqU4nA0eOYCopwbJtO86+PoiMxXzHUzR7Z9LebIV2SJgQyKx7okmepMNDOnuJazBoH+S9tvdc4ai5nNb+VgAyQjNYk7OGOXFzmKifiIdmZN8G+obt7DrTwdaKdvbUGBiyOdEFeHP3lDhWZAUx7ex/ojnxMiQUwV1/hOAR7pwnhBBCjBAJSkJcB8N1dZg2lWDashl7axuKnx+2BffQFlVEYxPYjA6C9Vqm355C1owoAkJlCZK4ek2WJsqby9nXso/DbYexOq34evgyI3oGj018jOLYYqL8o0b8upYhG7vOGCitaGNvjRGr3UlEoDerC+NZlhfN1KQwtJ1n4fV7wFgNxV+Hed8GrbwFCSGEGLvkXUqIUWLv7MRcWoppUwlDp0+DVotm1kK6V36Thq5ATMYhPJogbUoEE4qiiU4LlqV14qrYHDaOGo66wlHzPhrNjQAkBSVxb+a9FMcVUxhZiJd25Pe0mQZt7DrTQVlFG/tqOrE6nEQF+XD/tARWTIxmSkIoGo0CqgrHN0DZM+AdAA/9DVIXjHg9QgghxEiToCTECHIODGDZ9TamkhL633kHHA48c/IYfvw5LqhJNNdaUM9CdJo3U5YlkzpZj5eP/BiKK9fR38H+lv2Ut5RzsPUgA/YBPDWeTI2ayn1Z91EcW0xCUMKoXNs0YGPH6Xa2VrZTfs6IzaESE+zDQ0WJLM+LoiD+Yjh637AFtnwVKl6H5Llw5+8hMHJUahNCCCFGmnxCE+JTUh0OBt59F9OmEixvvYVzYABtTDSaB79Ea9hk6moGGa6xExBqZfLSRLKKogmJ8HN32WKccDgdnOo85Wrf3VLO2e6zAET5R3Fryq0UxxUzLWoafp6j85rqHbCyo6qDsso2DtR2YnOoxIb4snZmEsvyosmPC/lwOHpf20l4fS30NMKC78Hsr4FG9tsJIYQYPyQoCXGNhqqrMW0qwbxlC3aDAU1gIN7LbseYtpC6Zg+6zvejbeknJV9H1sxo4rLCLv+BUoiP6Bnq4UDrAfY17+Od1ncwDZvQKlryI/J5avJTzImbQ1pI2qgt1ezut7Kjqp3SijYO1nVhd6rEhfry6KxkludFMzHuY5aJqioc/gNs/w746WDNFkiaNSp1CiGEEKNJgpIQV8HW0YF5yxZMm0oYrqkBDw/8iudie3QldQORnK/qxvnuMBGJXsy5L4P0qZH4+Hu6u2wxxjlVJ2e7z15qxFBhdA19DfMJY27cXIrjipkZM5Mgr6DRuSlB4SYAACAASURBVL5T5XSbmb01RvZWGzl6oQeHUyUhzI/HilNYkRdNbmzQJwezwV4oeRLObIb0JbDqd+A/si3HhRBCiOtFgpIQn8DR14/lrbcwlWxi4NC7oKr4TpqEz9f/jRa/HA6d6GXgkBXfQDN58+OYUBRNeGyAu8sWY5zFauFQ26FLS+o+NPR10ucpjismOzwbjaIZlev3DljZd66TvdVG9tYY6ewbBiA3NojPz01laW4UOTFXEI7e13wE3ngEzK2w5Ecw44ugGZ3ahRBCiOtBgpIQl6Ha7fS/845r39GuXahDQ3gmJBD0L0/SmVRMVfUwHUfMKBojibnhTJgZTWJeOFqtfDAUl6eqKvWm+kvB6FjHMdfQV89AZsbOZE7cHGbFzBrxoa/vczpVTrWY2FttZE+NgZNNvThVCPHzpDhdz7wMPcUZOiICr7I1vdMJB38Du56FwBh4dDvEFY7K9yCEEEJcTxKUhLhIVVWGqk5jKtmEubQMR1cX2uBgglatYqBwGQ0Gf+qPG7GfNRIa7c/Mu9LInB6FX9DIt14WN4ZB+yCH2w+zr3kf+1v209LXAkB6aDprctZQHFfMJP2kER/6+r7OvmHKzxnZU22k/Fwn3f1WFAUmxoXwpQXpzM3UMykuBO217p3r74K/PwHndsCE22Dlr8E3dGS/CSGEEMJNJCiJm56tpQXT5i2YSkqw1tejeHoSMH8+2kUrueBM4NBhI5YtfXj5DpFZFM2EomgikgJl5pG4rGZLM/ua91HeUs7h9sMMO4bx9fBlevR0Hs19lDlxc0Zl6CuA3eHkRFMve2tc4aiixQRAuL8X8zL0zM3UU5yuJ8x/BMJ94wF48zEY6ITlz8PUx0B+JoQQQtxAJCiJm5LDbMa8fTvmTSUMHDkCgG/hFHQPPUtnVCFHTvTSUtYLShNxmaHMWJVCyiQ9Hl7S3lh8mM1h45jh2KVw1GBqACAxKJF7Mu6hOLaYKVFT8NZ6j8r1O8xDl5owlJ8zYh6yo1FgckIoTy/OYF5mBDkxQSPXcdHpgPJfwJ4fQ2gSPLYToieNzHMLIYQQY4gEJXHTUK1W+srLMZVspm/3blSrFa/kZHRf+QpDBYuorbVT+24H1qFGgnQ+TLstmayiaALDrnLPhrjhGQYM7G/Zz77mff8w9PXejHspjismMShxVK5tczg5er6HPRebMJxpMwMQEejN0two5mZEMDtNR7DfKHRbtHTA3z4HDXsh92647ZfgHTjy1xFCCCHGAAlK4oZ2ad/Rxo2YS0tx9PaiDQsjZPVqPBeu4LwpmHcPttOz7gIeXhpSJ0cwYWY0MWkhKDLzSFzkcDqo6Ky4tNfoTPcZACL9IlmRsoLi2GKmR08ftaGvrb2DF4ORgQO1XfQN2/HQKBQmhfLNpVnMy9STFTXKy0HrdrtC0nCfay9SwUOy1E4IIcQNTYKSuCHZjUbXvqONGxk+dw7Fy4vARQsJuHUlxsBMjrxn4MJL3ajOLqJTg5n/UBZpUyLw8pEfCeHSO9TL/tb9lDeXc6D1wKWhr5P0k3hq8lMUxxWTHpI+KuFk2O7gcEMPe2sM7Kk2cs7QB0BMsA+3TYphXqaemanhBPpchxldDjvs+Q8o/znoM+HhEojMHv3rCiGEEG42qp8KFUVZCvwK0AJ/UFX1Jx953Bt4CZgCdAGrVVVtVBQlCTgDVF889JCqqk+MZq1i/HNarfTt3oNp40b6ysvB4cB30iQif/BvDOYUU3+mj5rSDob6z+Af7EXB4gSyiqIIjfJ3d+liDFBVlbPdZy/tNarorMCpOj809LUouohg7+BRuf6FroFLweidui4GbQ68tBqmJYexemo8czP0pEUEXN8mIqYWePOzcOEgFDwIy34KXvLzIoQQ4uYwakFJURQt8D/AYqAZOKwoSomqqqc/cNhngR5VVdMURbkP+E9g9cXH6lRVzR+t+sSN4UNL67ZswWEy4REZSeijj9Gfv5jGdi0NxzsZ2HsWjYdC8kQ9E2ZGE58dNnKb28W41Wft41DboUtL6oyDRgByw3P5l4n/wpy4OaM29HXI5uBQfRd7qo3sqzFS39kPQEKYH/cUxjE3Q09Rajh+Xm66y1m9zdX6226FO16ASas/+RwhhBDiBjKa78DTgFpVVesBFEV5Fbgd+GBQuh34t4v/fgP4jSI9l8UV+Ieldd7e+C68BcuUFTQNhnG+qhvruQ48vLUk5oSRkq8nMU+Ht68srbuZqapKg6mB8pZy9jXv+4ehr8WxxcyKnYXOVzc61+7sv9SE4VB9F8N2J94eGopSw3moKJF5mREkhfu5t/W8bQje/qFriGxkHtyzDnRp7qtHCCGEcJPR/NQYCzR94OtmYPo/O0ZVVbuiKCbg/bH0yYqiHAfMwPdUVS0fxVrFOHC5pXXagun0P/ET2pU4mmstOMrt+Pj3kFKgJyVfT3xWqLT0vskN2Yd4r/09ypvLKW8pvzT0NS0kjYdzHqY4tphJEZPw1Iz8fp8Bq513artcc41qDDR1DwKQovfn/ukJzMuMYHpyGD6eY+A12nsBDv8Rjr0Eg92uuUhL/h08peujEEKIm9NoBqXL/UlUvcJj2oAEVVW7FEWZAvxdUZQcVVXNHzpZUR4HHgdISEgYgZLFWKOqKkOVVf/Xtc5kwhabjuXOb9Lhk0p78xDqWQgIGyJndgwp+Xqi04LRaEd+qZQYP5otzZS3lFPeXM577e/939DXKNfQ1+LYYqIDokf8uqqqcs7Qx95qVzA63NCD1eHEz0vLzNRwHp+TyrwMPfFho9Md76qpKtTvgfd+DzVbXf8vawVMfwKSZru1NCGEEMLdRjMoNQPxH/g6Dmj9J8c0K4riAQQD3aqqqsAwgKqqRxVFqQMygCMfPFlV1ReAFwAKCws/GsLEOGY3GjGVbMb0940MnatlICQB87Q1GAKz6OpWwQih0VomL00kJV+PPmGUWyOLMc3msHHccPxSI4Z6Uz0A8YHx3J1xN3Ni54za0FfLkI0DtV3srTGwt9pIq2kIgIzIANbOSmJuhp7CpFC8PcbAXaP3DZnh5CuugNR1Dvx0MPurMOURCIn/5POFEEKIm8BoBqXDQLqiKMlAC3AfcP9HjikB1gAHgbuBt1VVVRVF0eMKTA5FUVKAdKB+FGsVY4DTaqXv7d2YNm7Esv8AZr84enMWY0j7EpZBD7BBZHAgRXNdy+pCIsfIX+WFWxgHjP839LXtIP22fjw1nhRGFrrCUdycURn6qqoqZ9os7LkYjI6e78HuVAn09mBWmo4vLdQzN0NPTIjviF/7UzOccYWjU6+BtQ9iC12NGnJWgcfIh0ghhBBiPBu1oHRxz9GTwHZc7cH/pKpqlaIozwFHVFUtAf4IbFAUpRboxhWmAOYAzymKYgccwBOqqnaPVq3CfT64tK6ndCvdmgi64oswzruDIYcnGo1CTGIIBfl6kifpCQiVD3M3q/eHvr6/pO6DQ1+XJS+jOLaYGdEzRmXoq2nARnmtkb0XGzEYLMMAZEcH8bk5KczL0DM5MRTPsbjk02GH6lJXQGosB6035N3t2oMUO9nd1QkhhBBjluJa5Tb+FRYWqkeOHPnkA8WYYDMYMG/eQvemzbR1e2OMLKBLPwkbXnh4akjICSclX0ding4f/+swVFOMSb1DvRxoPUB5SzkHWg7QO9yLRtGQr8+nOK6Y4thiMkIzRnzZpdOpUtlqurjXyMjxCz04VQj29aQ4XcfcDNddo4igMdzooM8Ix9bBkRfB3ALB8TD1s1DwMPiHf+LpQgghxI1KUZSjqqoWftJx0itZXDfvL60zbizlfI0FY1ge3dGfxxnjgbevlpRJFzvVZYfhKZ3qbkrvD319/67Rqc5TOFUnod6hFMcWMyduDkUxozP0tbvfyr4a1x2jfTVGuvqtKApMjA3myflpzM2MYFJcMB5j8a7R+1QVmo/Aey/A6b+Dwwop82H585BxC2jk50oIIYS4UhKUxKhyLa2rpP2NUuqOtGMIyKA3ZCVqpga/AC05U6JILtATkx6Cdix/ABWjpt/Wz8HWg5fC0ftDX3PCc3h84uPMiZ1Dji5nxIe+OpwqJ5p62VtjZG+1gVMtJlQVwvy9mJOuY15mBMXpOsIDxsFyT9sgVL7pWl7XdgK8Al2NGaY+BvoMd1cnhBBCjEsSlMSosBkMNP91G7UHGmhX4jEHTYN4CApSyJ8RR2pBJBGJgSga6VR3M1FVlea+Zqo6q6jsrKSis4JTnaewO+0EeAYwM2YmxXHFzI6dPSpDXw2WIfbVdLKn2kD5uU5MgzY0CuTHh/DVRRnMzdCTFxuMZry8LnvOw5H3Zx/1gD4LVvwcJq4G70B3VyeEEEKMaxKUxIhxDA1xYeNeavaco3UglAH/OAiOIyzQxrRZsaROjyMs2t/dZYrrqHOwk8rOykv/VXVV0TvcC4CXxoussCwemvAQxXHF5Efkj/jQV5vDyfELveypNrC3xkhVq2sUmz7Qm8XZkczN0FOcriPEz2tErzuqnE6o3w2H/wDVW0HRuGYfTXvcNftI2uQLIYQQI0KCkvhUHHYH5986Qc3OMzT3+DHsFYJCFjr9AJOKwkhfmEVg2Bje8C5GjNlqpqqziqquqkvBqGOgAwCNoiE1JJX58fPJ1eWSq8slPSQdT+3IN+poMw1e6k63v7YTy5AdrUZhSmIo37glk3mZeiZEBY2fu0bvGzLBiVfg8O+hqxb89VD8NBQ+AsFx7q5OCCGEuOFIUBJXzW510HCogXM7qmju8MCm9UXj1BPh203qdA8yb5+Gb7CEoxvZkH2Is91nXYGoyxWKzpvPX3o8ITCByZGTyQ13haKssKxRadsNYLU7OdLYzd4aI3uqjVR3WACIDvZhRV408zL1zEzTEeQzTrsndpx2haOTr4GtH+Kmwp2/h+zbZfaREEIIMYokKIkrMjxgo+F4O+d2VdPS4sCheOJh1xLhbCFlUgSZn5mHT3iIu8sUo8DmtFHbU0tlV+WlvUW1vbU4VAcAEb4R5OhyWJm6klxdLjnhOaPSle6DmroHLgWjg3Wd9FsdeGoVpiaF8Z0pWczNiCAjMmDE24ZfNw4bnL04++j8/ouzj+6BaY9BTIG7qxNCCCFuChKUxD/Vbxqm/oSRuv0NtDYNo6LBa9hM9EAtyXlhpN23AL+0W91dphhBTtXJefP5S/uJKjsrOdt9lmGHa8BqkFcQubpc5sTNubSELsIvYtTrGrI5eK+hmz3VRvbWGKgz9gMQF+rLHZNjmZcRQVFqOP7e4/xXWp8Bjq6HI38CSyuEJMCiZ2Hyw+AX5u7qhBBCiJvKOP9UIUZar2GA+hNG6g+30tE0ACj4DhiI76kkKc2XpAfnElB0O4pW5rGMd6qq0t7ffmnpXFVnFae7TmOxuZau+Xr4MiFsAqszV7tCUXgucYFx1+0uTWNn/6UmDAfruxiyOfHy0DAjJZwHpicyN1NPis5//N41ep+qQvNh1+yjqr+D0wapC+DWX0D6Epl9JIQQQriJBKWbnKqqdDb1ucLRcQPdbQMABFiaSO48QbzOSuzKuQQv/ybaQGk3PJ71DPVc2lP0/hK6rqEuADw0HmSEZrAseZlr+Zwuh5TgFDw01+9XxKDVwcH6TvZWG9lTY+R8l+u1mKzz576pCczN1DMjORzfG2UYsW0QKt5w7T9qOwneQa65R1MfA12au6sTQgghbnoSlG5CTqdKe10v9cc7qT9pxNI1BKiEWBpI7zhGlNJK1PJ5BK/6Mt7Jye4uV1yDfls/p7tOf6gtd0tfCwAKCsnBycyKnXXpTlFGWAbe2uvbGMDmcHKuo4936jrZW2Pk3YZurHYnvp5aZqaG89nZyczN0JMYfoO1lO9phMN/hOMbXLOPIrJhxS8uzj4KcHd1QgghhLhIgtJNwm5z0Hy2h/oTRhpPdTJosaFRnIQPNBB7/iB6SzXhC2YR8sUH8Zs+XZbWjSNWh5Xq7uoPLaGrN9WjogIQGxBLTnjOpSV0E8ImEOB1fT+Q9w3bOdNm5nSr67+qNhM17X1YHU4A0iMCeHhGIvMyIyhMCsXH8wZ7/TmdUP+2qzlDzXbX7KMJt7pmHyXOktlHQgghxBgkQekGZh20c76yi/oTRs5XdmEbduDpoRJhu0DomZ2EdVUROCmH4C+uImjpr2Rp3TjgcDqoM9VdWjpX2VVJTU8NdqcdgDCfMHJ1udySfAu54a4ldGE+168JgKqqGCzDrkDUZqaq1cTpVjONF5fRAYT5e5ETE8Qjs5LIjgliSmIocaGj0zrc7QZ74cRfXMNhu+tcs4/mfAOmrIXgWHdXJ4QQQoiPIUHpBjNgttJw0kj9iU6aq7tx2lV8fRVita2E1G4jpOUEXpE6gu+8neDbfyRL68YwVVVptjRfulNU2VnJme4zDNoHAQjwDCAnPIeHsx++tIQuyj/qujU3cDhVGjr7PxSIzrSZ6eyzXjomMdyPnJgg7p4SR3ZMEDkxwUQEeo//BgyfpKPKdffo1GtgG4C4aTDv25C9UmYfCSGEEOOEBKUbgLlz0NWM4YSRtjoTqBAY6kl6eA8hJ7fid/YAGm8vApcsIeS5z8vSujHKMGD40J6iqq4qTMMmALw0XmSFZ3FH2h2X2nInBiWiUTTXpbZBq4PqDsulQHS6zczZNguDNtcsJS+thoyoABZkRZAdHURObDBZUYEEjtchr9fCYYOzWy7OPjoAHj6QdzdM/RzE5Lu7OiGEEEJcJQlK45CqqnS19F8KR13NfQCEx/gxMd1OyJmdaDeVojid+E6eTPAPnyVo6VJZWjeGmIZNrjD0/hK6zkr+f3v3Hh33Wd95/P3VXZrRSNZItiXZlhTbcSwrzs1xbhASknBLQxLKJYb2JAdDYGmastBCe2jPQmB32ZaztN3lsIRCKNeUhE1wslAgEPYsIYEEEiexnRDHd0txbMnWZXTXfPeP30/j0fiicezRjD2f1zk++s1Pz8x8J09Gmo+e5/c8r468CkCplbKsfhnXLrmWVY2r6Ip3sWzeMspL5iZ09A6NsTm8nmhTGIq27R8iGVzyRKyqjM6WGOvWLmFVS4zOlhhLm6JUlM1NaCs4g/vgd9+A390Dgz1Q3wbX3QUX/Kn2PhIRETmNKSidJjzpvLKtPxWOBg6MgsHCs+q4+LIaGl76JVMPP0ByYICyhQupu/2D1N90ExXt7fkuveiNTI6wpXfLjKW5dw3uSn2/LdbGmoVr6Grs4tzGc1nRsILqsuqc15VMOrsPDs8IRJu7B3hlYDTVprW+mpXNMa4/t5nOlhidzTEWzas+86fOzcYddv822Pto8w/DvY+ugT/6R1h+nfY+EhEROQMoKBWwqckke14MVqrbvvEAIwPjlJQai85p4LzL5tGw83HGHv4B49u2MVlVRe1111F/802aWpdHE8kJXjr4Umr63PMHnmfroa0kPVjdbUHNAroau7h5+c2siq+iM95JXWVdzusam5zipX1DqWlz01+HxoJFIEpLjGVNUS5fGk8Fos6WGPU1FTmv7bQyPgzP3x8EpFeeg8o6WPtBWLNeex+JiIicYRSUCsz46CS7NvUFK9U9d4Dx0SnKK0tp64rT3lVP/NVnGX74SyS+/BiD4dS6hZ+9S1Pr8iDpSXb075ixLPcLfS8wngwWM6irrKMr3sVVi6+iKx5cV9RU05TzuvpHJmYEok3d/Wx9dYjJcO5cpKKUlc0x3nFha3A9UUsdyxdEz7wluU+lvu3BynVPfxtGD8H8VcHo0ep3Q8UZts+TiIiIAApKBWFkaJztGw+w/Zn97N5ykKnJJFXRcpZeNJ+O8xppnNjL0EP3M/DVH7N/YICy5mbiH7qd+htv1NS6OeLu9CR6Zkyf29y7maGJ4Pqw6rJqOuOdrDtnHV2NwbLci6KLcjpFzd3p7h89vDdRdz+bewbYc3Ak1WZ+bSWdLTHeeM58VrXU0dkSo62hhpKSIp86l41kEl7+RTB69NJPw72Pbgj3Prpcex+JiIic4RSU8mSgd4TtzxwIVqrbegh3qG2oouvKVs66oJF4dIzBhx+i/68fZM+2bVhVFbVvuo76m28OptaVFOmF83Okd6Q3NXVuehpd32gfAGUlZayYt4Lrz7o+tSx3R10HpTm8LmViKsm2/YkZq85t7hng0PAEEHxm72iMcP7iet53SVtq+lxTrZaiPmEjB9P2PtoGkfnwhk8Eex/FWvJdnYiIiMwRBaU54u709STY/kywx9H+XYMANLREuOit7Zx1fhMN88tJ/OIXHPr7f2DbY49BMkn1RRfR/LnPUvuWt1Aajeb5VZyZhsaH2Ny7ecYUuu5ENwCGsbR+Ka9vfX1qWe6z551NRWnurt1JjE2ypWdgxspzL+4bZHwyuM6psqyEc5pjvLWrOdybKMY5C2upqdDb+aS88jw8+VV49vvB3keLL4WrPwUr3w5lulZLRESk2OiTVQ550tm3YyC1Ul3/q8GUqIVnxbjsHUs567wm6uZXM7pxI4e+9k22/uhHJAcHNbUuh8amxnih74VUIHq+93l29O/ACa7faY22cm7Tubx35XtTiy3UlNfkrJ5XB0bZNL24QjhStKM3gYdLcc+rKWdVSx23Xd4eLMXdHKOjMUJZqUYUT4mpCdjyULD30a5fh3sfvStYoKH5vHxXJyIiInmkoJQDu7f0se3p/WzfuJ9E/zglJUbrOfM4/9oldJzXSKSukol9++j/4XfY9sADjG/frql1p9DI5Ag9Qz3sHdpL91A3exN76RnqYefATl46+BKTHqz01ljdSFe8i7d1vC24rii+inlV83JS01TS2dGbOGIp7gNDY6k2Sxpq6GyO8Y4LWoOpcy0xFsaqtBR3Lgy+Eux99NQ9MPQKzGuHN30Ozn+f9j4SERERQEEpJ5548GX6ehK0rYrTcX4T7efGqawpJzk6yuDPH2HXAw+S+PWvD0+tW/9+Ta07AcMTw/QkDgeh7qFu9g7tTZ2bvpZoWnlJOc2RZhbVLuLWVbemptAtqFmQkxAyOjHFC68MhiNE/WzqHuCFnkFGJqaCekqN5fNruXpFU+paopUtMWJVc7OhbNFyh11PBNPrNv8QkpOw7DpY+8+w7FrtfSQiIiIzKCjlwHXrVxGtr6SsohR3Z3TjRnoeeJCBzKl1N91ERVtbvsstOMMTw0EASnQfHhUKv/Ykeo4IQhUlFbREW2iONHP14qtpjbbSEm1JfW2sbqTEcjNC15cYnxGINncP8PL+IcKVuKmtKqOzOcYtaxenluJeNj9KRZlGDOfM+DA8d18wvW7fc1BVB2s/BBevh/jSfFcnIiIiBUpBKQfq59cwsW8fB364gX5NrTtCYiIxYyQoMxQdGjs0o/10EGqNtrIyvjIIQJGW1Ll4dTxnQWiau7O7b2RGINrcM0BP/2iqTUtdFZ0tMd7atZDOljpWtcRYNK9aU+fypW8bPPk1ePpbMNoPC7rghn8KrkHS3kciIiIyCwWlU8zd2fsXH2XwkUeCqXVrLqL5A+upffObi2Zq3dD4EN2JjCA0fZzopn+sf0b7ytJKWqJB8OmKd9EcbZ4xKtRQ1ZDzIJRufDLJS68OzghEW7oHGBwLrm0qLTGWNkW4pKMhtTfRyuYYDRGtjJZ3ySS8/PNw76OfBdPpVr49WJxhyWXa+0hERESypqB0ipkZFW1tNH74Q9TdeOMZObVucHzwiOuC0sPQwPjAjPZVpVWpILS6aXVwHI4ItURbiFfF8zbqMjA6MWPFuU3dA2x9dZCJqWDuXHV5KSuba7lpeoGF5hgrFtZSVa7rWQrKyEF4+jvB3kcHt0N0Abzhk+HeR835rk5EREROQwpKOTD/4x/LdwknZWB84IjRoPTpcYPjgzPaV5dVp4LP6qbVqdGg6XMNVQ15n37m7vT0j6YFon429wywu28k1aYxWsmqlhhXrWgKryeK0RaPUFqiUYiC9cpzwejRs/fB5EgwanTN38E5N2jvIxERETkpCkpFxt1TQSh9Olx6IBqcODIITYef85vOnzEtrjnazLzKeXkPQgDJpPPKwCg7ehPs7B1mR2+CHQeC4529w6lV58ygIx5h9aJ6brl4SbA/UUuM+bVVeX4FkpXJcXhheu+jx6GsGla/Cy7+IDSvznd1IiIicoZQUDrDTAehzNXipkeEuoe6GZoYmnGfmrKaVPC5cMGFh0eEoi20Rlqpq6wriCAEwX5EPf0jM4LQjt5hdobhaGwymWpbUVrC4oZqOhojXLGskfbGCJ3NtaxYGCNaqf/1TzsDPcHeR7+7B4b2hXsf/We44H1QnZv9r0RERKR46dPiacbd6R/rZ29i7xErx01fM5SYSMy4T6Q8kgo9axasmbF0dmu0lVhFrGCCEARhqPvQyBFBaEfvMLv6hhlPC0OVZSW0xWtoi0d4w9lNtDdGaI9HaIvX0FxXrWlzpzv3YNTot3fDlocgOQXLr4O1t8PSa6CIV48UERGR3FJQKjDuzqGxQ0cEoPRV5EYmR2bcJ1oepTXayqLaRVzSfAktkZYZo0KFFoQAJqeS7D00wvYDh6fJ7ewdZseBBLsPDqcWUwCoKi+hPR5haVOEa1bOTwWh9niEhbEqShSGzjzjCXj2+8HiDPueD/Y+uuTDsOb92vtIRERE5oSC0hxzd/pG+2asFpc5PS4zCNVW1NIabWVJ7RIubb708LS4MAzFKmJ5ejXHNz6ZZM/B4aNOk9tzcITJ5OEwVFNRSns8wjnNtby5ayHt4ShRR2OE+bWVBRf0JEd6Xw73Pvo2jPXDgnPhhn8O9z6qyXd1IiIiUkQUlHKgd6T3iEUS0sPQ6NTojPaxihit0Vba69q5vPXyGZupNkebCzYIAYxNTrG7b4SdvYkjRof2HhphKi0MRSvLaG+sYVVrHdevbqY9HqG9MRgdaooqDBWtZBK2/ixYnGHrz6CkDDpvDKbXLb5Eex+JiIhIXigo5cCHfvYhXjz4Yup2XWUdLZEWzqo7xAVtGwAADthJREFUi9e1vu6IfYRqK2rzWO3sRiem2N03fEQQ2n4gQXf/CH44C1FbVUZHY4TzFtdz0/kttMUjtDcGo0PxSIXCULGYmoTxQRgbgvGh8OtRbo8cgi0b4OAOiC6Eq/4m2PuodmG+X4GIiIgUOQWlHLjzwjtJejIViKIV0XyXNKuR8Sl29iXYceDwwgnB0toJegZGZ4Sh+ppy2uIRLm6fR1t8USoIdcQj1NeUKwydjpJJmEikBZnBtECTze2MIDQ5OvtzQjB6tGgtXPOfYOUNUFqe29cpIiIikiUFpRy4ctGV+S7hqBJjk+GeQgm29ybYeeDw6NArAzM/2MYjFbTFa7j0rHhqVGh6EYX6Gm3kmXfuQRg51kjNcW8fJeiMD83+nAAYVEShMjrza/3ijPO12d0uq9TUOhERESlICkpnmMHRiSNWkdvZO8z23gT7B8dmtG2MVtIer+GKZY10hKNC7fEIS+I11FXrL/un3NTEaxipOc7IjU9l97xlVWkhpTb4GmmCho5ZQk3tzPtURKG8Rktyi4iISFFQUDoN9Y9MpKbH7QxXkguCUYIDQ+Mz2s6vraS9McLVK5pSQagtXkN7Y0Sbrs4mmTw82nIqRm6mxmZ/Tgimo2UGmMpaiDXPDC2ZIeZYt0vVzyIiIiInKqefoMzsLcA/AaXAv7j75zO+Xwl8E7gI6AXe4+47wu/9DbAemALudPef5LLWQnNoePzwRqvhFLnpUaK+xMww1FxXRVu8hmtXLgiX1A5Gh9riNdRUnGEfkt2DkZmp8eDf5FjG8Vjw/SPOj6dNVcviGpuxoeCanawcazraEk1HExERETlN5exTtJmVAl8CrgP2AE+a2QZ335zWbD1w0N2XmdktwH8D3mNmncAtwCqgBXjEzM52z3auUeFzdw4OTxyxv9D0Igr9IxOptmbQUldNW7yGN69aOHOaXEMN1RWluSgwDCRjMBkGjqMepweTjJBytLByrOPJseM8X8bj4rOWP6uy6iNHXqILoGFp9iM1mo4mIiIicsbK5XDDWmCru28DMLN7gRuB9KB0I/Dp8Ph+4H9asGTajcC97j4GbDezreHjPZ7Dek85d6c3MX7UILSjN8Hg6CTgVDBJpU2ypK6Ms+aVc+U5pSypq2JRrJTWaAkLoqVUMgGTAzC1PwgLE+Owdwx2pYWUVMDIZnQlPZhkhpTpQHIKlZRBaUXwr6wSSiuDFc7KKtPOVUB5fXhcHrQpqwjbVhz9uCx8zBnHx3mOijDcaDqaiIiIiBxHLj8ttgK7027vAS45Vht3nzSzfiAenn8i476tuSv11PrNl9ZTefAPTE2MU+rjRJjkAiZYa1NUl0xSZZOUl0xSXj1BqR8eOWIU6An/vVYlZccJGGmhoSaSESqmg0ll2vmjBZPZQkz54ZCSHlxKcjDqJSIiIiKSI7kMSke7yCJzztSx2mRzX8zsduB2gCVLlpxofTljE8PUlE5RXlVDeWWcyqpqqqurqa6qprQ8M4wc5fiIc1mGmNIKTQETERERETkFchmU9gCL024vArqP0WaPmZUBdUBflvfF3e8G7gZYs2bNKbhw5dRY+9Hv5bsEERERERE5CbkcfngSWG5mHWZWQbA4w4aMNhuAW8PjdwK/cHcPz99iZpVm1gEsB36bw1pFRERERERScjaiFF5zdAfwE4Llwb/u7pvM7C7gKXffAHwN+Fa4WEMfQZgibPd9goUfJoE/O5NWvBMRERERkcJmwQDO6W/NmjX+1FNP5bsMEREREREpYGb2O3dfM1s7XfkvIiIiIiKSQUFJREREREQkg4KSiIiIiIhIBgUlERERERGRDApKIiIiIiIiGRSUREREREREMigoiYiIiIiIZFBQEhERERERyaCgJCIiIiIikkFBSUREREREJIOCkoiIiIiISAYFJRERERERkQwKSiIiIiIiIhkUlERERERERDIoKImIiIiIiGQwd893DaeEme0Hdua7jjSNwIF8FyEzqE8Kk/ql8KhPCpP6pfCoTwqT+qXwFFqftLl702yNzpigVGjM7Cl3X5PvOuQw9UlhUr8UHvVJYVK/FB71SWFSvxSe07VPNPVOREREREQkg4KSiIiIiIhIBgWl3Lk73wXIEdQnhUn9UnjUJ4VJ/VJ41CeFSf1SeE7LPtE1SiIiIiIiIhk0oiQiIiIiIpJBQekkmdlbzOxFM9tqZn99lO9faWa/N7NJM3tnPmosNln0ycfMbLOZPWtmPzeztnzUWWyy6JcPm9lzZvaMmf3KzDrzUWcxma1P0tq908zczE67FYtON1m8T24zs/3h++QZM/tAPuosNtm8V8zs3eHvlk1m9t25rrHYZPFe+WLa++QPZnYoH3UWmyz6ZYmZPWpmT4efw96Wjzqzpal3J8HMSoE/ANcBe4AngXXuvjmtTTsQA/4S2ODu9899pcUjyz65GviNuw+b2X8ArnL39+Sl4CKRZb/E3H0gPH478BF3f0s+6i0G2fRJ2K4W+D9ABXCHuz8117UWiyzfJ7cBa9z9jrwUWYSy7JflwPeBN7r7QTOb7+6v5qXgIpDtz6+09n8OXODu75+7KotPlu+Vu4Gn3f3L4R9Ef+Tu7fmoNxsaUTo5a4Gt7r7N3ceBe4Eb0xu4+w53fxZI5qPAIpRNnzzq7sPhzSeARXNcYzHKpl8G0m5GAP0VJ7dm7ZPQZ4G/B0bnsrgilW2fyNzKpl8+CHzJ3Q8CKCTl3Im+V9YB35uTyopbNv3iBAMIAHVA9xzWd8IUlE5OK7A77fae8Jzkz4n2yXrgxzmtSCDLfjGzPzOzlwk+mN85R7UVq1n7xMwuABa7+8NzWVgRy/bn1x+HU1buN7PFc1NaUcumX84Gzjazx8zsCTPTaHhuZf27Ppxe3wH8Yg7qKnbZ9MungT8xsz3Aj4A/n5vSXhsFpZNjRzmnv4LnV9Z9YmZ/AqwB/iGnFQlk2S/u/iV3Xwp8EvjbnFdV3I7bJ2ZWAnwR+PicVSTZvE8eAtrdfTXwCPCvOa9KsumXMmA5cBXB6MW/mFl9jusqZify+esW4H53n8phPRLIpl/WAd9w90XA24Bvhb9vClLBFnaa2AOk/zVvEQU+hFgEsuoTM7sW+BTwdncfm6PaitmJvlfuBW7KaUUyW5/UAl3AL81sB3ApsEELOuTUrO8Td+9N+5n1VeCiOaqtmGXz82sP8EN3n3D37cCLBMFJcuNEfqfcgqbdzZVs+mU9wfV8uPvjQBXQOCfVvQYKSifnSWC5mXWYWQXBm3FDnmsqdrP2STid6CsEIUnzyOdGNv2S/qHieuClOayvGB23T9y9390b3b09vND2CYL3jBZzyJ1s3ifNaTffDmyZw/qKVTa/6x8ErgYws0aCqXjb5rTK4pLV5y8zWwHMAx6f4/qKVTb9sgu4BsDMVhIEpf1zWuUJUFA6Ce4+CdwB/ITgl9X33X2Tmd0VrtqFmV0czsN8F/AVM9uUv4rPfNn0CcFUuyhwX7hsqMJtjmXZL3eEy+o+A3wMuDVP5RaFLPtE5lCWfXJn+D7ZSHAd3235qbZ4ZNkvPwF6zWwz8CjwV+7em5+Kz3wn8PNrHXCva4nnOZFlv3wc+GD4M+x7wG2F3D9aHlxERERERCSDRpREREREREQyKCiJiIiIiIhkUFASERERERHJoKAkIiIiIiKSQUFJREREREQkg4KSiIicFDO72czczM6Zw+f8qJnVzNXzvRZmdpWZXZ7vOkRE5LVRUBIRkZO1DvgVweaCc+WjQN6DkpmVHefbVwEKSiIipykFJRERec3MLApcAawnIyiZ2SfM7Dkz22hmnw/PLTOzR8JzvzezpeH5vzKzJ83sWTP7THiu3cxeMLN/Dc/fb2Y1ZnYn0AI8amaPhm2/bGZPhZuxfiathh1m9pnwuZ6bHvUys6iZ3ROee9bM/jg8/yYzezxsf1/4+jJf8y/N7L+Y2f8F/sLMbjCz35jZ0+FrW2Bm7cCHgf8Ybmz9ejNrMrMfhK/zSTO74tT2hoiInErH+0uYiIjIbG4C/t3d/2BmfWZ2obv/3szeGn7vEncfNrOGsP13gM+7+wNmVgWUmNmbgOXAWsCADWZ2JbALWAGsd/fHzOzrwEfc/Qtm9jHganc/ED7up9y9z8xKgZ+b2Wp3fzb83gF3v9DMPgL8JfAB4O+Afnc/F8DM5plZI/C3wLXunjCzTwIfA+46yuuud/c3TN8XuNTd3cw+AHzC3T9uZv8LGHL3L4Ttvgt80d1/ZWZLCHavX3mS//1FRCRHFJRERORkrAP+MTy+N7z9e+Ba4B53HwYIQ0wt0OruD4TnRiEYxQHeBDwdPk6UIDjtAna7+2Ph+W8DdwJfOEod7zaz2wl+rzUDncB0UPrf4dffAe8Ij68lbQTM3Q+a2R+F93vMzAAqgMeP8br/Le14EfBvZtYc3mf7Me5zLdAZPjZAzMxq3X3wGO1FRCSPFJREROQ1MbM48Eagy8wcKAXczD5BMDLkmXc51kMB/9Xdv5Lx+O1HeYzM25hZB8FI0cVh4PkGUJXWZCz8OsXh33vHqu9n7r7uGHWmS6Qd/w/gv7v7BjO7Cvj0Me5TAlzm7iNZPL6IiOSZrlESEZHX6p3AN929zd3b3X0xwWjK64CfAu+fXpnOzBrcfQDYY2Y3hecqw+//JGwbDc+3mtn88DmWmNll4fH0ohEAg0BteBwjCC79ZrYAeGsWtf8UuGP6Rjh97gngCjNbFp6rMbOzs3isOmBveHxr2vn0Go/2nOdn8dgiIpInCkoiIvJarQMeyDj3A+C97v7vwAbgKTN7hmDEB+BPgTvN7Fng18BCd/8p8F3gcTN7DrifwwFjC3Br2L4B+HJ4/m7gx2b2qLtvJJi2twn4OjA9Ve94PgfMM7PnzWwjwfVO+4HbgO+Fz/cEkM2S558G7jOz/wccSDv/EHDz9GIOBNMG14SLR2wmWOxBREQKlLkfMYtBREQk78Kpdw+7e1eeSxERkSKkESUREREREZEMGlESERERERHJoBElERERERGRDApKIiIiIiIiGRSUREREREREMigoiYiIiIiIZFBQEhERERERyaCgJCIiIiIikuH/A7AoTtNPq4LzAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 1008x576 with 1 Axes>"
       ]
@@ -2122,29 +2129,32 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[0.0179 0.0179 0.     0.0199 0.0183 0.0274]\n",
-      " [0.0312 0.0357 0.0022 0.0319 0.0568 0.0443]\n",
-      " [0.0625 0.067  0.0167 0.0677 0.0991 0.0928]\n",
-      " [0.1071 0.1071 0.0366 0.1116 0.1335 0.1335]\n",
-      " [0.1607 0.1473 0.1126 0.1633 0.1625 0.1576]\n",
-      " [0.2098 0.2098 0.207  0.2271 0.1854 0.188 ]\n",
-      " [0.2679 0.2679 0.2818 0.2749 0.1993 0.2011]\n",
-      " [0.3125 0.3214 0.3877 0.3546 0.2102 0.2131]]\n"
+      "[[0.     0.0047 0.     0.0083 0.0169 0.0204]\n",
+      " [0.0142 0.019  0.0026 0.0208 0.0546 0.0522]\n",
+      " [0.0332 0.0332 0.0077 0.0417 0.0909 0.0904]\n",
+      " [0.0616 0.0616 0.05   0.0708 0.1255 0.1227]\n",
+      " [0.0948 0.09   0.1245 0.1167 0.1576 0.1566]\n",
+      " [0.1469 0.1517 0.2043 0.1625 0.1819 0.1899]\n",
+      " [0.1943 0.1991 0.2818 0.2167 0.1997 0.2039]\n",
+      " [0.2512 0.2512 0.3913 0.3125 0.2139 0.2183]]\n"
      ]
     }
    ],
    "source": [
     "failure_rates = np.zeros((8, 6))\n",
     "\n",
+    "# sort whole test data by \n",
+    "#test_sorted = test.sort_values(by='B_prob_0_logreg', ascending=False)\n",
+    "\n",
     "for r in np.arange(1, 9):\n",
     "    ## Contraction, logistic regression\n",
     "    failure_rates[r - 1, 0] = contraction(\n",
-    "        test[test.decision_T == 1], 'judgeID_J', 'decision_T', 'result_Y',\n",
+    "        test_labeled, 'judgeID_J', 'decision_T', 'result_Y',\n",
     "        'B_prob_0_logreg', 'acceptanceRate_R', r / 10, False)\n",
     "    \n",
     "    ## Contraction, random forest\n",
     "    failure_rates[r - 1, 1] = contraction(\n",
-    "        test[test.decision_T == 1], 'judgeID_J', 'decision_T', 'result_Y',\n",
+    "        test_labeled, 'judgeID_J', 'decision_T', 'result_Y',\n",
     "        'B_prob_0_forest', 'acceptanceRate_R', r / 10, False)\n",
     "\n",
     "    ## Human error rate - Correct?\n",
@@ -2165,10 +2175,10 @@
     "                                          'acceptanceRate_R', r / 10, False)\n",
     "\n",
     "    ## Causal model with logistic regression\n",
-    "    failure_rates[r - 1, 4] = ep([r / 10], test_labeled, 'result_Y', 'X', logreg)\n",
+    "    failure_rates[r - 1, 4] = ep([r / 10], test_labeled, 'result_Y', 'X', logreg, 0)\n",
     "    \n",
     "    ## Causal model with random forest classifier\n",
-    "    failure_rates[r - 1, 5] = ep([r / 10], test_labeled, 'result_Y', 'X', forest)\n",
+    "    failure_rates[r - 1, 5] = ep([r / 10], test_labeled, 'result_Y', 'X', forest, 0)\n",
     "        \n",
     "\n",
     "# klassifikaatioille scipy.stats semin kautta error barit xerr ja yerr argumenttien kautta\n",
@@ -2180,7 +2190,7 @@
     "plt.plot(np.arange(0.1, 0.9, .1), failure_rates[:, 3], label='True Evaluation')\n",
     "\n",
     "plt.plot(np.arange(0.1, 0.9, .1), failure_rates[:, 4], label='Causal model, log.')\n",
-    "#plt.plot(np.arange(0.1, 0.9, .1), failure_rates[:, 5], label='Causal model, r.f.')\n",
+    "plt.plot(np.arange(0.1, 0.9, .1), failure_rates[:, 5], label='Causal model, r.f.')\n",
     "\n",
     "plt.title('Failure rate vs. Acceptance rate')\n",
     "plt.xlabel('Acceptance rate')\n",
@@ -2196,17 +2206,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Failure rates still too high. Order of curves now correct."
+    "**Thoughts:**\n",
+    "\n",
+    "Failure rates still too high for about 10 percentage points compared to Lakkaraju paper. Failure rates will change if seed is changed (e.g. with seed 0 contraction's failure rates are approximately 0.31, causal doesn't change that much). It seems like the contraction or our model is some how predicting the wrong thing. Behavior after 0.5 is not consistent? (Curves curve down in Lakkaraju's paper. + Human evaluation curve jumps to the wrong side.) Have to check some rounding rules."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {},
+   "metadata": {
+    "scrolled": false
+   },
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 1008x576 with 1 Axes>"
       ]
@@ -2215,44 +2229,22 @@
       "needs_background": "light"
      },
      "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "array([0.        , 0.        , 0.00058348, 0.00125031, 0.00250063,\n",
-       "       0.00475119, 0.00675169, 0.00916896, 0.012003  , 0.01508711,\n",
-       "       0.01850463, 0.02242227, 0.02583979, 0.02925731, 0.03367509,\n",
-       "       0.03700925, 0.04101025, 0.04467784, 0.04867884, 0.05326332,\n",
-       "       0.05776444, 0.06234892, 0.06726682, 0.07151788, 0.07551888,\n",
-       "       0.07951988, 0.08360423, 0.08877219, 0.09218971, 0.09569059,\n",
-       "       0.09960824, 0.10394265, 0.1089439 , 0.11327832, 0.11736267,\n",
-       "       0.11961324, 0.12244728, 0.12511461, 0.12836542, 0.13119947,\n",
-       "       0.13453363, 0.13770109, 0.14011836, 0.14486955, 0.14695341,\n",
-       "       0.1498708 , 0.15312161, 0.15553888, 0.15837293, 0.16104026,\n",
-       "       0.16395766, 0.16662499, 0.16937568, 0.17262649, 0.17512712,\n",
-       "       0.17671084, 0.17821122, 0.18046178, 0.18321247, 0.18471284,\n",
-       "       0.18621322, 0.18846378, 0.18938068, 0.19104776, 0.19238143,\n",
-       "       0.19404851, 0.19554889, 0.1967992 , 0.1978828 , 0.19913312,\n",
-       "       0.1998833 , 0.20130033, 0.20246728, 0.20305076, 0.20446778,\n",
-       "       0.20555139, 0.20705176, 0.20805201, 0.20913562, 0.20996916,\n",
-       "       0.2108027 , 0.2117196 , 0.21221972, 0.21255314, 0.21288655,\n",
-       "       0.21330333, 0.21347003, 0.21380345, 0.21447028, 0.2148037 ,\n",
-       "       0.21513712, 0.21563724, 0.21613737, 0.21638743, 0.21647078,\n",
-       "       0.21647078, 0.21647078, 0.21647078, 0.21647078, 0.21647078])"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
     "x_vals = np.linspace(0, 1, 100)\n",
-    "y_vals = ep(x_vals, test_labeled, 'result_Y', 'X', logreg)\n",
+    "y_vals = ep(x_vals, test_labeled, 'result_Y', 'X', logreg, 0)\n",
+    "y_vals2 = ep(x_vals, test_labeled, 'result_Y', 'X', logreg, 1)\n",
+    "\n",
+    "y_vals3 = ep(x_vals, test, 'result_Y', 'X', logreg, 0)\n",
+    "y_vals4 = ep(x_vals, test, 'result_Y', 'X', logreg, 1)\n",
+    "\n",
     "plt.figure(figsize=(14, 8))\n",
     "plt.plot(x_vals, y_vals)\n",
-    "plt.show()\n",
-    "y_vals"
+    "plt.plot(x_vals, y_vals2)\n",
+    "plt.plot(x_vals, y_vals3)\n",
+    "plt.plot(x_vals, y_vals4)\n",
+    "plt.show()"
    ]
   },
   {
@@ -2310,12 +2302,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1008x576 with 1 Axes>"
       ]
@@ -2331,10 +2323,10 @@
     "\n",
     "for r in np.arange(0, 11):\n",
     "    ## Causal model with logistic regression\n",
-    "    failures_compas[r, 0] = ep([r / 10], compas_dummy, response_column, predict_columns, logreg_c)\n",
+    "    failures_compas[r, 0] = ep([r / 10], compas_dummy, response_column, predict_columns, logreg_c, 1)\n",
     "    \n",
     "    ## Causal model with random forest classifier\n",
-    "    failures_compas[r, 1] = ep([r / 10], compas_dummy, response_column, predict_columns, forest_c)\n",
+    "    failures_compas[r, 1] = ep([r / 10], compas_dummy, response_column, predict_columns, forest_c, 1)\n",
     "\n",
     "# klassifikaatioille scipy.stats semin kautta error barit xerr ja yerr argumenttien kautta\n",
     "\n",
@@ -2348,6 +2340,13 @@
     "plt.legend()\n",
     "plt.show()\n"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Of course if leniency is one, then the empirical performance should always converge to the proportion of  false positives in the data."
+   ]
   }
  ],
  "metadata": {