diff --git a/power-flow-assignment/Power Flow Assignment with Solutions.ipynb b/power-flow-assignment/Power Flow Assignment with Solutions.ipynb
index 0d49f31..1ddd602 100644
--- a/power-flow-assignment/Power Flow Assignment with Solutions.ipynb	
+++ b/power-flow-assignment/Power Flow Assignment with Solutions.ipynb	
@@ -64,6 +64,16 @@
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "af07631b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.random.seed(0) # For reproducibility"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -75,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "760a38b1",
    "metadata": {},
    "outputs": [],
@@ -103,7 +113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "a61540cd",
    "metadata": {},
    "outputs": [
@@ -111,7 +121,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Add Operation is 0.002952 s\n"
+      "Execution time for Add Operation is 0.003175 s\n"
      ]
     }
    ],
@@ -135,7 +145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "2baee3cd",
    "metadata": {},
    "outputs": [
@@ -147,7 +157,7 @@
       "ComponentType.line: 2000\n",
       "ComponentType.source:    1\n",
       "ComponentType.sym_load: 2000\n",
-      "Execution time for Loading Input Data is 0.012547 s\n"
+      "Execution time for Loading Input Data is 0.008821 s\n"
      ]
     }
    ],
@@ -189,7 +199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "b703c8aa",
    "metadata": {},
    "outputs": [
@@ -197,7 +207,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Validating Input Data is 0.009321 s\n"
+      "Execution time for Validating Input Data is 0.006538 s\n"
      ]
     }
    ],
@@ -220,7 +230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "71b39571",
    "metadata": {},
    "outputs": [
@@ -228,7 +238,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Model Construction is 0.002634 s\n",
+      "Execution time for Model Construction is 0.001295 s\n",
       "{<ComponentType.node: 'node'>: 2001, <ComponentType.line: 'line'>: 2000, <ComponentType.source: 'source'>: 1, <ComponentType.sym_load: 'sym_load'>: 2000}\n"
      ]
     }
@@ -256,7 +266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "88034903",
    "metadata": {},
    "outputs": [
@@ -264,7 +274,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Newton-Raphson Power Flow is 0.003671 s\n",
+      "Execution time for Newton-Raphson Power Flow is 0.002740 s\n",
       "Min line loading: 0.1418844978380699\n",
       "Max line loading: 1.6292378285645368\n"
      ]
@@ -282,7 +292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "a8d298d5",
    "metadata": {},
    "outputs": [
@@ -290,7 +300,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Linear Power Flow is 0.002162 s\n",
+      "Execution time for Linear Power Flow is 0.000906 s\n",
       "Min line loading: 0.1395686087394204\n",
       "Max line loading: 1.6156849991055762\n"
      ]
@@ -326,7 +336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "id": "921310a7",
    "metadata": {},
    "outputs": [
@@ -377,123 +387,123 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2022-01-01 00:00:00</th>\n",
-       "      <td>1.522690e+06</td>\n",
-       "      <td>7.365325e+05</td>\n",
-       "      <td>1.883955e+06</td>\n",
-       "      <td>1.747342e+06</td>\n",
-       "      <td>1.235460e+06</td>\n",
-       "      <td>1.250241e+06</td>\n",
-       "      <td>1.067713e+06</td>\n",
-       "      <td>1.307628e+06</td>\n",
-       "      <td>1.168910e+06</td>\n",
-       "      <td>1.218901e+06</td>\n",
+       "      <td>6.542975e+05</td>\n",
+       "      <td>1.526274e+06</td>\n",
+       "      <td>9.835916e+05</td>\n",
+       "      <td>7.105664e+05</td>\n",
+       "      <td>1.330337e+06</td>\n",
+       "      <td>7.035255e+05</td>\n",
+       "      <td>9.643857e+05</td>\n",
+       "      <td>8.958759e+05</td>\n",
+       "      <td>9.889155e+05</td>\n",
+       "      <td>1.268703e+06</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.589131e+06</td>\n",
-       "      <td>1.702425e+06</td>\n",
-       "      <td>1.148132e+06</td>\n",
-       "      <td>8.532146e+05</td>\n",
-       "      <td>7.044042e+05</td>\n",
-       "      <td>8.186826e+05</td>\n",
-       "      <td>8.116150e+05</td>\n",
-       "      <td>7.100930e+05</td>\n",
-       "      <td>1.203160e+06</td>\n",
-       "      <td>1.149239e+06</td>\n",
+       "      <td>8.455310e+05</td>\n",
+       "      <td>1.162544e+06</td>\n",
+       "      <td>2.558481e+05</td>\n",
+       "      <td>1.382856e+06</td>\n",
+       "      <td>8.314504e+05</td>\n",
+       "      <td>5.324480e+05</td>\n",
+       "      <td>6.195114e+05</td>\n",
+       "      <td>1.479162e+06</td>\n",
+       "      <td>9.123626e+05</td>\n",
+       "      <td>1.043085e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-01-01 01:00:00</th>\n",
-       "      <td>8.881127e+05</td>\n",
-       "      <td>1.053687e+06</td>\n",
-       "      <td>3.734167e+05</td>\n",
-       "      <td>1.614773e+06</td>\n",
-       "      <td>1.348900e+06</td>\n",
-       "      <td>3.942241e+05</td>\n",
-       "      <td>9.418381e+05</td>\n",
-       "      <td>-1.287045e+05</td>\n",
-       "      <td>7.848680e+05</td>\n",
-       "      <td>1.169359e+06</td>\n",
+       "      <td>1.599202e+06</td>\n",
+       "      <td>1.624803e+06</td>\n",
+       "      <td>8.515054e+05</td>\n",
+       "      <td>1.272474e+06</td>\n",
+       "      <td>2.538246e+05</td>\n",
+       "      <td>1.166365e+06</td>\n",
+       "      <td>5.340211e+05</td>\n",
+       "      <td>9.061211e+05</td>\n",
+       "      <td>1.638968e+06</td>\n",
+       "      <td>1.048253e+06</td>\n",
        "      <td>...</td>\n",
-       "      <td>4.982993e+05</td>\n",
-       "      <td>9.892282e+05</td>\n",
-       "      <td>6.087048e+05</td>\n",
-       "      <td>1.143115e+06</td>\n",
-       "      <td>1.496269e+06</td>\n",
-       "      <td>1.504554e+06</td>\n",
-       "      <td>4.250855e+05</td>\n",
-       "      <td>9.431208e+05</td>\n",
-       "      <td>1.697681e+06</td>\n",
-       "      <td>1.585010e+06</td>\n",
+       "      <td>1.008758e+06</td>\n",
+       "      <td>8.637050e+05</td>\n",
+       "      <td>1.370746e+06</td>\n",
+       "      <td>7.853128e+05</td>\n",
+       "      <td>1.284208e+06</td>\n",
+       "      <td>7.125573e+05</td>\n",
+       "      <td>2.025939e+06</td>\n",
+       "      <td>1.413798e+06</td>\n",
+       "      <td>3.033545e+05</td>\n",
+       "      <td>1.402499e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-01-01 02:00:00</th>\n",
-       "      <td>9.811829e+05</td>\n",
-       "      <td>1.413438e+06</td>\n",
-       "      <td>9.972503e+05</td>\n",
-       "      <td>1.233187e+06</td>\n",
-       "      <td>1.295709e+06</td>\n",
-       "      <td>3.746883e+05</td>\n",
-       "      <td>1.720246e+06</td>\n",
-       "      <td>1.248101e+06</td>\n",
-       "      <td>4.639225e+05</td>\n",
-       "      <td>9.123818e+05</td>\n",
+       "      <td>6.262723e+05</td>\n",
+       "      <td>-3.936538e+04</td>\n",
+       "      <td>7.729855e+05</td>\n",
+       "      <td>1.240346e+06</td>\n",
+       "      <td>1.372449e+06</td>\n",
+       "      <td>1.834328e+05</td>\n",
+       "      <td>1.029736e+06</td>\n",
+       "      <td>2.278456e+05</td>\n",
+       "      <td>1.095536e+06</td>\n",
+       "      <td>6.710179e+05</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.866030e+06</td>\n",
-       "      <td>1.744288e+06</td>\n",
-       "      <td>1.412359e+06</td>\n",
-       "      <td>7.322985e+05</td>\n",
-       "      <td>8.552735e+05</td>\n",
-       "      <td>9.632037e+05</td>\n",
-       "      <td>1.006114e+06</td>\n",
-       "      <td>6.947516e+05</td>\n",
-       "      <td>7.969410e+05</td>\n",
-       "      <td>1.487227e+06</td>\n",
+       "      <td>1.085567e+06</td>\n",
+       "      <td>1.132255e+06</td>\n",
+       "      <td>2.623313e+05</td>\n",
+       "      <td>1.500894e+06</td>\n",
+       "      <td>1.260842e+06</td>\n",
+       "      <td>5.876514e+05</td>\n",
+       "      <td>6.996802e+05</td>\n",
+       "      <td>1.566650e+06</td>\n",
+       "      <td>7.006146e+05</td>\n",
+       "      <td>9.703639e+05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-01-01 03:00:00</th>\n",
-       "      <td>1.594312e+06</td>\n",
-       "      <td>1.711561e+06</td>\n",
-       "      <td>7.238942e+05</td>\n",
-       "      <td>6.706983e+05</td>\n",
-       "      <td>2.852392e+05</td>\n",
-       "      <td>8.300269e+05</td>\n",
-       "      <td>1.148656e+06</td>\n",
-       "      <td>1.037572e+06</td>\n",
-       "      <td>1.086457e+06</td>\n",
-       "      <td>1.633151e+06</td>\n",
+       "      <td>1.702868e+05</td>\n",
+       "      <td>1.143364e+06</td>\n",
+       "      <td>1.963476e+06</td>\n",
+       "      <td>9.099949e+05</td>\n",
+       "      <td>1.381601e+06</td>\n",
+       "      <td>5.030083e+05</td>\n",
+       "      <td>1.830331e+06</td>\n",
+       "      <td>8.439323e+05</td>\n",
+       "      <td>1.762296e+06</td>\n",
+       "      <td>1.740743e+06</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.190132e+06</td>\n",
-       "      <td>1.383107e+06</td>\n",
-       "      <td>7.801834e+05</td>\n",
-       "      <td>9.776243e+05</td>\n",
-       "      <td>2.293418e+06</td>\n",
-       "      <td>9.743710e+05</td>\n",
-       "      <td>1.804552e+06</td>\n",
-       "      <td>7.211640e+05</td>\n",
-       "      <td>1.145045e+06</td>\n",
-       "      <td>1.421976e+06</td>\n",
+       "      <td>1.603770e+06</td>\n",
+       "      <td>9.406809e+05</td>\n",
+       "      <td>2.998462e+05</td>\n",
+       "      <td>6.051862e+05</td>\n",
+       "      <td>5.224477e+05</td>\n",
+       "      <td>8.286061e+05</td>\n",
+       "      <td>7.509667e+05</td>\n",
+       "      <td>3.962129e+05</td>\n",
+       "      <td>2.096399e+05</td>\n",
+       "      <td>9.802467e+05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-01-01 04:00:00</th>\n",
-       "      <td>4.667720e+05</td>\n",
-       "      <td>1.128695e+06</td>\n",
-       "      <td>1.028832e+06</td>\n",
-       "      <td>5.444642e+05</td>\n",
-       "      <td>1.052969e+05</td>\n",
-       "      <td>5.439632e+05</td>\n",
-       "      <td>1.916725e+06</td>\n",
-       "      <td>1.075958e+06</td>\n",
-       "      <td>9.885185e+05</td>\n",
-       "      <td>1.375559e+06</td>\n",
+       "      <td>1.043548e+06</td>\n",
+       "      <td>2.188358e+05</td>\n",
+       "      <td>1.127129e+06</td>\n",
+       "      <td>5.473136e+05</td>\n",
+       "      <td>1.790570e+06</td>\n",
+       "      <td>6.960018e+05</td>\n",
+       "      <td>7.261024e+05</td>\n",
+       "      <td>1.021764e+06</td>\n",
+       "      <td>2.221873e+06</td>\n",
+       "      <td>1.006030e+06</td>\n",
        "      <td>...</td>\n",
-       "      <td>5.633235e+05</td>\n",
-       "      <td>5.196102e+05</td>\n",
-       "      <td>4.177027e+05</td>\n",
-       "      <td>1.353726e+06</td>\n",
-       "      <td>7.087020e+05</td>\n",
-       "      <td>7.139034e+05</td>\n",
-       "      <td>8.842609e+05</td>\n",
-       "      <td>7.882466e+05</td>\n",
-       "      <td>-8.232680e+04</td>\n",
-       "      <td>1.445546e+06</td>\n",
+       "      <td>1.389082e+06</td>\n",
+       "      <td>6.831849e+05</td>\n",
+       "      <td>1.802030e+06</td>\n",
+       "      <td>-1.220805e+05</td>\n",
+       "      <td>2.803788e+05</td>\n",
+       "      <td>9.146118e+05</td>\n",
+       "      <td>4.157669e+05</td>\n",
+       "      <td>8.818861e+05</td>\n",
+       "      <td>1.153413e+06</td>\n",
+       "      <td>1.987920e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -521,123 +531,123 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-02-11 11:00:00</th>\n",
-       "      <td>6.554215e+05</td>\n",
-       "      <td>1.519971e+06</td>\n",
-       "      <td>7.346373e+05</td>\n",
-       "      <td>2.468342e+05</td>\n",
-       "      <td>1.391215e+06</td>\n",
-       "      <td>2.756525e+05</td>\n",
-       "      <td>1.064843e+06</td>\n",
-       "      <td>1.632632e+06</td>\n",
-       "      <td>2.255325e+06</td>\n",
-       "      <td>3.975464e+05</td>\n",
+       "      <td>1.297461e+06</td>\n",
+       "      <td>1.047677e+06</td>\n",
+       "      <td>4.578420e+05</td>\n",
+       "      <td>9.740551e+05</td>\n",
+       "      <td>8.286470e+05</td>\n",
+       "      <td>-1.629241e+04</td>\n",
+       "      <td>9.824188e+05</td>\n",
+       "      <td>5.312199e+05</td>\n",
+       "      <td>7.728044e+05</td>\n",
+       "      <td>7.764914e+05</td>\n",
        "      <td>...</td>\n",
-       "      <td>3.516876e+05</td>\n",
-       "      <td>9.236746e+05</td>\n",
-       "      <td>1.067935e+06</td>\n",
-       "      <td>1.237977e+06</td>\n",
-       "      <td>4.839377e+05</td>\n",
-       "      <td>1.140204e+06</td>\n",
-       "      <td>1.391819e+06</td>\n",
-       "      <td>1.668330e+06</td>\n",
-       "      <td>6.788123e+05</td>\n",
-       "      <td>1.408043e+06</td>\n",
+       "      <td>7.648894e+05</td>\n",
+       "      <td>1.354775e+06</td>\n",
+       "      <td>7.579497e+05</td>\n",
+       "      <td>9.702597e+05</td>\n",
+       "      <td>3.766778e+05</td>\n",
+       "      <td>4.840460e+05</td>\n",
+       "      <td>1.303803e+06</td>\n",
+       "      <td>6.944711e+05</td>\n",
+       "      <td>1.212502e+06</td>\n",
+       "      <td>1.069479e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-02-11 12:00:00</th>\n",
-       "      <td>1.059431e+06</td>\n",
-       "      <td>6.340614e+05</td>\n",
-       "      <td>1.400879e+06</td>\n",
-       "      <td>1.494647e+05</td>\n",
-       "      <td>8.775668e+05</td>\n",
-       "      <td>1.161970e+06</td>\n",
-       "      <td>9.090381e+05</td>\n",
-       "      <td>6.548579e+05</td>\n",
-       "      <td>5.131747e+05</td>\n",
-       "      <td>2.268062e+05</td>\n",
+       "      <td>3.749362e+04</td>\n",
+       "      <td>5.913280e+05</td>\n",
+       "      <td>8.999378e+05</td>\n",
+       "      <td>1.775253e+06</td>\n",
+       "      <td>3.648972e+05</td>\n",
+       "      <td>6.752172e+05</td>\n",
+       "      <td>1.014593e+06</td>\n",
+       "      <td>7.456549e+05</td>\n",
+       "      <td>1.129800e+06</td>\n",
+       "      <td>6.698132e+05</td>\n",
        "      <td>...</td>\n",
-       "      <td>3.092005e+05</td>\n",
-       "      <td>8.351009e+05</td>\n",
-       "      <td>1.194604e+05</td>\n",
-       "      <td>1.132886e+06</td>\n",
-       "      <td>3.542770e+05</td>\n",
-       "      <td>8.243507e+05</td>\n",
-       "      <td>6.221985e+05</td>\n",
-       "      <td>1.249335e+06</td>\n",
-       "      <td>8.687152e+05</td>\n",
-       "      <td>2.072785e+05</td>\n",
+       "      <td>1.374550e+06</td>\n",
+       "      <td>9.377212e+05</td>\n",
+       "      <td>1.051601e+06</td>\n",
+       "      <td>9.014852e+05</td>\n",
+       "      <td>2.029342e+06</td>\n",
+       "      <td>1.648292e+06</td>\n",
+       "      <td>1.640126e+06</td>\n",
+       "      <td>1.634752e+06</td>\n",
+       "      <td>1.224935e+06</td>\n",
+       "      <td>1.654338e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-02-11 13:00:00</th>\n",
-       "      <td>6.521878e+05</td>\n",
-       "      <td>2.955911e+05</td>\n",
-       "      <td>3.741276e+05</td>\n",
-       "      <td>4.800967e+05</td>\n",
-       "      <td>4.995738e+05</td>\n",
-       "      <td>1.584803e+06</td>\n",
-       "      <td>-9.873880e+04</td>\n",
-       "      <td>1.179757e+06</td>\n",
-       "      <td>1.031841e+06</td>\n",
-       "      <td>4.159367e+05</td>\n",
+       "      <td>8.100687e+05</td>\n",
+       "      <td>8.121140e+04</td>\n",
+       "      <td>1.193171e+06</td>\n",
+       "      <td>4.289758e+05</td>\n",
+       "      <td>1.811121e+06</td>\n",
+       "      <td>1.276082e+06</td>\n",
+       "      <td>1.105754e+06</td>\n",
+       "      <td>1.081095e+06</td>\n",
+       "      <td>9.712173e+05</td>\n",
+       "      <td>1.525249e+06</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.372591e+06</td>\n",
-       "      <td>1.306696e+06</td>\n",
-       "      <td>6.394788e+05</td>\n",
-       "      <td>6.803029e+05</td>\n",
-       "      <td>5.756530e+05</td>\n",
-       "      <td>6.008684e+05</td>\n",
-       "      <td>2.463446e+05</td>\n",
-       "      <td>6.338162e+05</td>\n",
-       "      <td>1.040108e+06</td>\n",
-       "      <td>1.004782e+06</td>\n",
+       "      <td>5.449206e+05</td>\n",
+       "      <td>7.953469e+05</td>\n",
+       "      <td>3.476170e+03</td>\n",
+       "      <td>2.816748e+05</td>\n",
+       "      <td>3.704842e+05</td>\n",
+       "      <td>7.392224e+05</td>\n",
+       "      <td>1.148101e+06</td>\n",
+       "      <td>7.661535e+05</td>\n",
+       "      <td>1.192877e+06</td>\n",
+       "      <td>1.314111e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-02-11 14:00:00</th>\n",
-       "      <td>9.818727e+05</td>\n",
-       "      <td>1.401407e+06</td>\n",
-       "      <td>6.278580e+05</td>\n",
-       "      <td>1.540642e+06</td>\n",
-       "      <td>7.379792e+05</td>\n",
-       "      <td>9.621891e+05</td>\n",
-       "      <td>1.303348e+06</td>\n",
-       "      <td>1.306518e+06</td>\n",
-       "      <td>6.933143e+05</td>\n",
-       "      <td>1.436222e+06</td>\n",
+       "      <td>1.297348e+06</td>\n",
+       "      <td>8.867596e+05</td>\n",
+       "      <td>4.085110e+05</td>\n",
+       "      <td>8.674707e+05</td>\n",
+       "      <td>2.748922e+05</td>\n",
+       "      <td>1.244640e+06</td>\n",
+       "      <td>7.688895e+05</td>\n",
+       "      <td>2.527199e+05</td>\n",
+       "      <td>5.978268e+05</td>\n",
+       "      <td>1.480678e+06</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.673705e+06</td>\n",
-       "      <td>2.049235e+06</td>\n",
-       "      <td>6.810229e+05</td>\n",
-       "      <td>7.839749e+05</td>\n",
-       "      <td>1.888354e+06</td>\n",
-       "      <td>5.954157e+05</td>\n",
-       "      <td>5.539249e+05</td>\n",
-       "      <td>1.735490e+06</td>\n",
-       "      <td>1.495662e+06</td>\n",
-       "      <td>9.269474e+05</td>\n",
+       "      <td>5.123765e+05</td>\n",
+       "      <td>1.049253e+06</td>\n",
+       "      <td>1.005289e+06</td>\n",
+       "      <td>1.228138e+06</td>\n",
+       "      <td>1.219614e+06</td>\n",
+       "      <td>6.556987e+05</td>\n",
+       "      <td>1.051950e+06</td>\n",
+       "      <td>1.713633e+06</td>\n",
+       "      <td>6.839066e+05</td>\n",
+       "      <td>1.003103e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2022-02-11 15:00:00</th>\n",
-       "      <td>7.800493e+05</td>\n",
-       "      <td>6.834265e+05</td>\n",
-       "      <td>8.261629e+05</td>\n",
-       "      <td>2.505578e+05</td>\n",
-       "      <td>1.228073e+06</td>\n",
-       "      <td>1.239210e+06</td>\n",
-       "      <td>1.084346e+06</td>\n",
-       "      <td>1.147520e+06</td>\n",
-       "      <td>1.145728e+06</td>\n",
-       "      <td>1.233379e+06</td>\n",
+       "      <td>1.044349e+06</td>\n",
+       "      <td>1.559785e+06</td>\n",
+       "      <td>1.665343e+06</td>\n",
+       "      <td>1.191743e+06</td>\n",
+       "      <td>9.863667e+05</td>\n",
+       "      <td>4.409987e+05</td>\n",
+       "      <td>8.665374e+05</td>\n",
+       "      <td>1.501290e+06</td>\n",
+       "      <td>1.118489e+06</td>\n",
+       "      <td>1.171362e+06</td>\n",
        "      <td>...</td>\n",
-       "      <td>8.740778e+05</td>\n",
-       "      <td>9.273301e+05</td>\n",
-       "      <td>1.663515e+06</td>\n",
-       "      <td>1.564655e+06</td>\n",
-       "      <td>4.959054e+05</td>\n",
-       "      <td>1.722500e+06</td>\n",
-       "      <td>1.381114e+06</td>\n",
-       "      <td>9.182470e+05</td>\n",
-       "      <td>-1.350229e+05</td>\n",
-       "      <td>1.169486e+06</td>\n",
+       "      <td>-4.739851e+05</td>\n",
+       "      <td>1.783373e+06</td>\n",
+       "      <td>1.502640e+06</td>\n",
+       "      <td>1.522361e+06</td>\n",
+       "      <td>1.165566e+05</td>\n",
+       "      <td>7.174768e+05</td>\n",
+       "      <td>1.420632e+06</td>\n",
+       "      <td>1.174696e+06</td>\n",
+       "      <td>9.992505e+05</td>\n",
+       "      <td>1.390805e+06</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -646,82 +656,82 @@
       ],
       "text/plain": [
        "                             4002          4003          4004          4005  \\\n",
-       "2022-01-01 00:00:00  1.522690e+06  7.365325e+05  1.883955e+06  1.747342e+06   \n",
-       "2022-01-01 01:00:00  8.881127e+05  1.053687e+06  3.734167e+05  1.614773e+06   \n",
-       "2022-01-01 02:00:00  9.811829e+05  1.413438e+06  9.972503e+05  1.233187e+06   \n",
-       "2022-01-01 03:00:00  1.594312e+06  1.711561e+06  7.238942e+05  6.706983e+05   \n",
-       "2022-01-01 04:00:00  4.667720e+05  1.128695e+06  1.028832e+06  5.444642e+05   \n",
+       "2022-01-01 00:00:00  6.542975e+05  1.526274e+06  9.835916e+05  7.105664e+05   \n",
+       "2022-01-01 01:00:00  1.599202e+06  1.624803e+06  8.515054e+05  1.272474e+06   \n",
+       "2022-01-01 02:00:00  6.262723e+05 -3.936538e+04  7.729855e+05  1.240346e+06   \n",
+       "2022-01-01 03:00:00  1.702868e+05  1.143364e+06  1.963476e+06  9.099949e+05   \n",
+       "2022-01-01 04:00:00  1.043548e+06  2.188358e+05  1.127129e+06  5.473136e+05   \n",
        "...                           ...           ...           ...           ...   \n",
-       "2022-02-11 11:00:00  6.554215e+05  1.519971e+06  7.346373e+05  2.468342e+05   \n",
-       "2022-02-11 12:00:00  1.059431e+06  6.340614e+05  1.400879e+06  1.494647e+05   \n",
-       "2022-02-11 13:00:00  6.521878e+05  2.955911e+05  3.741276e+05  4.800967e+05   \n",
-       "2022-02-11 14:00:00  9.818727e+05  1.401407e+06  6.278580e+05  1.540642e+06   \n",
-       "2022-02-11 15:00:00  7.800493e+05  6.834265e+05  8.261629e+05  2.505578e+05   \n",
+       "2022-02-11 11:00:00  1.297461e+06  1.047677e+06  4.578420e+05  9.740551e+05   \n",
+       "2022-02-11 12:00:00  3.749362e+04  5.913280e+05  8.999378e+05  1.775253e+06   \n",
+       "2022-02-11 13:00:00  8.100687e+05  8.121140e+04  1.193171e+06  4.289758e+05   \n",
+       "2022-02-11 14:00:00  1.297348e+06  8.867596e+05  4.085110e+05  8.674707e+05   \n",
+       "2022-02-11 15:00:00  1.044349e+06  1.559785e+06  1.665343e+06  1.191743e+06   \n",
        "\n",
        "                             4006          4007          4008          4009  \\\n",
-       "2022-01-01 00:00:00  1.235460e+06  1.250241e+06  1.067713e+06  1.307628e+06   \n",
-       "2022-01-01 01:00:00  1.348900e+06  3.942241e+05  9.418381e+05 -1.287045e+05   \n",
-       "2022-01-01 02:00:00  1.295709e+06  3.746883e+05  1.720246e+06  1.248101e+06   \n",
-       "2022-01-01 03:00:00  2.852392e+05  8.300269e+05  1.148656e+06  1.037572e+06   \n",
-       "2022-01-01 04:00:00  1.052969e+05  5.439632e+05  1.916725e+06  1.075958e+06   \n",
+       "2022-01-01 00:00:00  1.330337e+06  7.035255e+05  9.643857e+05  8.958759e+05   \n",
+       "2022-01-01 01:00:00  2.538246e+05  1.166365e+06  5.340211e+05  9.061211e+05   \n",
+       "2022-01-01 02:00:00  1.372449e+06  1.834328e+05  1.029736e+06  2.278456e+05   \n",
+       "2022-01-01 03:00:00  1.381601e+06  5.030083e+05  1.830331e+06  8.439323e+05   \n",
+       "2022-01-01 04:00:00  1.790570e+06  6.960018e+05  7.261024e+05  1.021764e+06   \n",
        "...                           ...           ...           ...           ...   \n",
-       "2022-02-11 11:00:00  1.391215e+06  2.756525e+05  1.064843e+06  1.632632e+06   \n",
-       "2022-02-11 12:00:00  8.775668e+05  1.161970e+06  9.090381e+05  6.548579e+05   \n",
-       "2022-02-11 13:00:00  4.995738e+05  1.584803e+06 -9.873880e+04  1.179757e+06   \n",
-       "2022-02-11 14:00:00  7.379792e+05  9.621891e+05  1.303348e+06  1.306518e+06   \n",
-       "2022-02-11 15:00:00  1.228073e+06  1.239210e+06  1.084346e+06  1.147520e+06   \n",
+       "2022-02-11 11:00:00  8.286470e+05 -1.629241e+04  9.824188e+05  5.312199e+05   \n",
+       "2022-02-11 12:00:00  3.648972e+05  6.752172e+05  1.014593e+06  7.456549e+05   \n",
+       "2022-02-11 13:00:00  1.811121e+06  1.276082e+06  1.105754e+06  1.081095e+06   \n",
+       "2022-02-11 14:00:00  2.748922e+05  1.244640e+06  7.688895e+05  2.527199e+05   \n",
+       "2022-02-11 15:00:00  9.863667e+05  4.409987e+05  8.665374e+05  1.501290e+06   \n",
        "\n",
        "                             4010          4011  ...          5992  \\\n",
-       "2022-01-01 00:00:00  1.168910e+06  1.218901e+06  ...  1.589131e+06   \n",
-       "2022-01-01 01:00:00  7.848680e+05  1.169359e+06  ...  4.982993e+05   \n",
-       "2022-01-01 02:00:00  4.639225e+05  9.123818e+05  ...  1.866030e+06   \n",
-       "2022-01-01 03:00:00  1.086457e+06  1.633151e+06  ...  1.190132e+06   \n",
-       "2022-01-01 04:00:00  9.885185e+05  1.375559e+06  ...  5.633235e+05   \n",
+       "2022-01-01 00:00:00  9.889155e+05  1.268703e+06  ...  8.455310e+05   \n",
+       "2022-01-01 01:00:00  1.638968e+06  1.048253e+06  ...  1.008758e+06   \n",
+       "2022-01-01 02:00:00  1.095536e+06  6.710179e+05  ...  1.085567e+06   \n",
+       "2022-01-01 03:00:00  1.762296e+06  1.740743e+06  ...  1.603770e+06   \n",
+       "2022-01-01 04:00:00  2.221873e+06  1.006030e+06  ...  1.389082e+06   \n",
        "...                           ...           ...  ...           ...   \n",
-       "2022-02-11 11:00:00  2.255325e+06  3.975464e+05  ...  3.516876e+05   \n",
-       "2022-02-11 12:00:00  5.131747e+05  2.268062e+05  ...  3.092005e+05   \n",
-       "2022-02-11 13:00:00  1.031841e+06  4.159367e+05  ...  1.372591e+06   \n",
-       "2022-02-11 14:00:00  6.933143e+05  1.436222e+06  ...  1.673705e+06   \n",
-       "2022-02-11 15:00:00  1.145728e+06  1.233379e+06  ...  8.740778e+05   \n",
+       "2022-02-11 11:00:00  7.728044e+05  7.764914e+05  ...  7.648894e+05   \n",
+       "2022-02-11 12:00:00  1.129800e+06  6.698132e+05  ...  1.374550e+06   \n",
+       "2022-02-11 13:00:00  9.712173e+05  1.525249e+06  ...  5.449206e+05   \n",
+       "2022-02-11 14:00:00  5.978268e+05  1.480678e+06  ...  5.123765e+05   \n",
+       "2022-02-11 15:00:00  1.118489e+06  1.171362e+06  ... -4.739851e+05   \n",
        "\n",
        "                             5993          5994          5995          5996  \\\n",
-       "2022-01-01 00:00:00  1.702425e+06  1.148132e+06  8.532146e+05  7.044042e+05   \n",
-       "2022-01-01 01:00:00  9.892282e+05  6.087048e+05  1.143115e+06  1.496269e+06   \n",
-       "2022-01-01 02:00:00  1.744288e+06  1.412359e+06  7.322985e+05  8.552735e+05   \n",
-       "2022-01-01 03:00:00  1.383107e+06  7.801834e+05  9.776243e+05  2.293418e+06   \n",
-       "2022-01-01 04:00:00  5.196102e+05  4.177027e+05  1.353726e+06  7.087020e+05   \n",
+       "2022-01-01 00:00:00  1.162544e+06  2.558481e+05  1.382856e+06  8.314504e+05   \n",
+       "2022-01-01 01:00:00  8.637050e+05  1.370746e+06  7.853128e+05  1.284208e+06   \n",
+       "2022-01-01 02:00:00  1.132255e+06  2.623313e+05  1.500894e+06  1.260842e+06   \n",
+       "2022-01-01 03:00:00  9.406809e+05  2.998462e+05  6.051862e+05  5.224477e+05   \n",
+       "2022-01-01 04:00:00  6.831849e+05  1.802030e+06 -1.220805e+05  2.803788e+05   \n",
        "...                           ...           ...           ...           ...   \n",
-       "2022-02-11 11:00:00  9.236746e+05  1.067935e+06  1.237977e+06  4.839377e+05   \n",
-       "2022-02-11 12:00:00  8.351009e+05  1.194604e+05  1.132886e+06  3.542770e+05   \n",
-       "2022-02-11 13:00:00  1.306696e+06  6.394788e+05  6.803029e+05  5.756530e+05   \n",
-       "2022-02-11 14:00:00  2.049235e+06  6.810229e+05  7.839749e+05  1.888354e+06   \n",
-       "2022-02-11 15:00:00  9.273301e+05  1.663515e+06  1.564655e+06  4.959054e+05   \n",
+       "2022-02-11 11:00:00  1.354775e+06  7.579497e+05  9.702597e+05  3.766778e+05   \n",
+       "2022-02-11 12:00:00  9.377212e+05  1.051601e+06  9.014852e+05  2.029342e+06   \n",
+       "2022-02-11 13:00:00  7.953469e+05  3.476170e+03  2.816748e+05  3.704842e+05   \n",
+       "2022-02-11 14:00:00  1.049253e+06  1.005289e+06  1.228138e+06  1.219614e+06   \n",
+       "2022-02-11 15:00:00  1.783373e+06  1.502640e+06  1.522361e+06  1.165566e+05   \n",
        "\n",
        "                             5997          5998          5999          6000  \\\n",
-       "2022-01-01 00:00:00  8.186826e+05  8.116150e+05  7.100930e+05  1.203160e+06   \n",
-       "2022-01-01 01:00:00  1.504554e+06  4.250855e+05  9.431208e+05  1.697681e+06   \n",
-       "2022-01-01 02:00:00  9.632037e+05  1.006114e+06  6.947516e+05  7.969410e+05   \n",
-       "2022-01-01 03:00:00  9.743710e+05  1.804552e+06  7.211640e+05  1.145045e+06   \n",
-       "2022-01-01 04:00:00  7.139034e+05  8.842609e+05  7.882466e+05 -8.232680e+04   \n",
+       "2022-01-01 00:00:00  5.324480e+05  6.195114e+05  1.479162e+06  9.123626e+05   \n",
+       "2022-01-01 01:00:00  7.125573e+05  2.025939e+06  1.413798e+06  3.033545e+05   \n",
+       "2022-01-01 02:00:00  5.876514e+05  6.996802e+05  1.566650e+06  7.006146e+05   \n",
+       "2022-01-01 03:00:00  8.286061e+05  7.509667e+05  3.962129e+05  2.096399e+05   \n",
+       "2022-01-01 04:00:00  9.146118e+05  4.157669e+05  8.818861e+05  1.153413e+06   \n",
        "...                           ...           ...           ...           ...   \n",
-       "2022-02-11 11:00:00  1.140204e+06  1.391819e+06  1.668330e+06  6.788123e+05   \n",
-       "2022-02-11 12:00:00  8.243507e+05  6.221985e+05  1.249335e+06  8.687152e+05   \n",
-       "2022-02-11 13:00:00  6.008684e+05  2.463446e+05  6.338162e+05  1.040108e+06   \n",
-       "2022-02-11 14:00:00  5.954157e+05  5.539249e+05  1.735490e+06  1.495662e+06   \n",
-       "2022-02-11 15:00:00  1.722500e+06  1.381114e+06  9.182470e+05 -1.350229e+05   \n",
+       "2022-02-11 11:00:00  4.840460e+05  1.303803e+06  6.944711e+05  1.212502e+06   \n",
+       "2022-02-11 12:00:00  1.648292e+06  1.640126e+06  1.634752e+06  1.224935e+06   \n",
+       "2022-02-11 13:00:00  7.392224e+05  1.148101e+06  7.661535e+05  1.192877e+06   \n",
+       "2022-02-11 14:00:00  6.556987e+05  1.051950e+06  1.713633e+06  6.839066e+05   \n",
+       "2022-02-11 15:00:00  7.174768e+05  1.420632e+06  1.174696e+06  9.992505e+05   \n",
        "\n",
        "                             6001  \n",
-       "2022-01-01 00:00:00  1.149239e+06  \n",
-       "2022-01-01 01:00:00  1.585010e+06  \n",
-       "2022-01-01 02:00:00  1.487227e+06  \n",
-       "2022-01-01 03:00:00  1.421976e+06  \n",
-       "2022-01-01 04:00:00  1.445546e+06  \n",
+       "2022-01-01 00:00:00  1.043085e+06  \n",
+       "2022-01-01 01:00:00  1.402499e+06  \n",
+       "2022-01-01 02:00:00  9.703639e+05  \n",
+       "2022-01-01 03:00:00  9.802467e+05  \n",
+       "2022-01-01 04:00:00  1.987920e+06  \n",
        "...                           ...  \n",
-       "2022-02-11 11:00:00  1.408043e+06  \n",
-       "2022-02-11 12:00:00  2.072785e+05  \n",
-       "2022-02-11 13:00:00  1.004782e+06  \n",
-       "2022-02-11 14:00:00  9.269474e+05  \n",
-       "2022-02-11 15:00:00  1.169486e+06  \n",
+       "2022-02-11 11:00:00  1.069479e+06  \n",
+       "2022-02-11 12:00:00  1.654338e+06  \n",
+       "2022-02-11 13:00:00  1.314111e+06  \n",
+       "2022-02-11 14:00:00  1.003103e+06  \n",
+       "2022-02-11 15:00:00  1.390805e+06  \n",
        "\n",
        "[1000 rows x 2000 columns]"
       ]
@@ -759,7 +769,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "0600bd55",
    "metadata": {},
    "outputs": [],
@@ -778,7 +788,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "9f88ba5f",
    "metadata": {},
    "outputs": [
@@ -786,7 +796,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Validating Batch Data is 2.216290 s\n"
+      "Execution time for Validating Batch Data is 1.104897 s\n"
      ]
     }
    ],
@@ -799,7 +809,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "e7ee773c",
    "metadata": {},
    "outputs": [
@@ -807,7 +817,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Batch Calculation using Newton-Raphson is 1.261293 s\n"
+      "Execution time for Batch Calculation using Newton-Raphson is 0.868429 s\n"
      ]
     }
    ],
@@ -819,7 +829,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "id": "251e2edd",
    "metadata": {},
    "outputs": [
@@ -827,7 +837,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Batch Calculation using linear calculation is 0.610796 s\n"
+      "Execution time for Batch Calculation using linear calculation is 0.391254 s\n"
      ]
     }
    ],
@@ -850,13 +860,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "id": "93d0888d",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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OCRMm4MiRI3jiiSfQrVs3jB49OpauRYsWuO222/DEE0+grKwMp5xyCj7++GMsWLAAb731FtMs99Zbb6FZs2bSIzoTNZywlmkRRLwRXXZs9W/btm2qqqrqihUr1BEjRqjZ2dlqVlaWevrpp6vfffedLq/i4mL1T3/6k9q0aVO1Vq1a6sCBA9VFixaZlvOqqqpu2bJFveCCC9SsrCy1YcOG6oQJE9TZs2dzLwV/4oknTPcCxnLkd999V+3UqZOakZGhdu3aVf3000/VSy+9VO3UqRNX+zz77LNqp06d1LS0NDUvL08dO3asadmuX0vBjcvz582bx1zuPG/ePHXEiBFqbm6umpmZqbZv314dNWqUumzZMq57bNy4sQpALSgoiB1buHChCkAdNGiQKb3xmaiqqn733Xdq79691fT0dN1zuO6669TatWub8mC1AwsvfccqP7v+bmT16tXq8OHD1aysLLVu3brq1Vdfrebn55vSVVRUqFOmTFFbt26tpqenq126dFHffPNNZh3WrVunAlAnTpzoeP8EIYKiqknkdUgQhBA9e/ZEo0aNMGfOnLCrQhAEIQ3yuSGIGkBZWRnKy8t1x+bPn48ff/yRzAEEQSQdpLkhiBrA5s2bMWzYMPzhD39As2bNsG7dOkyfPh25ublYvXo1GjRoEHYVCYIgpEEOxQRRA6hXrx569+6Nf/7zn9izZw9q166NkSNH4rHHHiPBhiCIpIM0NwRBEARBJBXkc0MQBEEQRFJBwg1BEARBEElFjfO5qaysxM6dO1GnTp1AQ6UTBEEQBOEeVVVx+PBhNGvWzHGPtxon3OzcuTO2/w9BEARBEInFtm3b0KJFC9s0NU64qVOnDoCqxonuA0QQBEEQRHxTWFiIli1bxuZxO2qccBM1ReXk5JBwQxAEQRAJBo9LCTkUEwRBEASRVJBwQxAEQRBEUkHCDUEQBEEQSQUJNwRBEARBJBUk3BAEQRAEkVSQcEMQBEEQRFJBwg1BEARBEEkFCTcEQRAEQSQVJNwQBEEQBJFUkHBDEARBEERSQcINQRAEQRBJBQk3BEEQBEEkFSTcEARBEEQCU1xWEXYV4g4SbgiCIAgiQfn2173odP9sPD1nQ9hViStIuCEIgiCIBOX+T1YDAJ6Z+0vINYkvSLghCIIgiERFDbsC8QkJNwRBEASRoJBsw4aEG4IgCIJIUFSVxBsWJNwQBEEQRIJCog0bEm4IgiAIIkEhxQ0bEm4IgiAIIkFRSXfDhIQbokajqiryDxWT3ZogiISEhi42JNwQNZrn5/+GU6fOxbNf/Rp2VQiCIIQh4YYNCTdEjeaJz9cDAJ6i6J4EQRBJAwk3BEEQBJGgkEmdDQk3BEEQBJGgkGjDhoQbgiAIgkhQSHHDhoQbgiAIgkhQaCk4GxJuCIIgCCJBIc0NGxJuCIIgCCJBIdmGDQk3BEEQBJGgkOaGDQk3BEEQBJGwkHTDgoQbgiAIgkhQSHPDhoQbgiAIgkhQSLZhQ8INQRAEQSQoFKGYDQk3BEEQBJGgkGjDhoQbgiAIgkhQSHHDhoQbImGoqFTx7pKt+HX34bCrQhAEEReQWYpNatgVIAhe3l+2DXd/uAoAsPmxkSHXhiAIInxItGFDmhsiYfhh28Gwq0AQBBFfkHTDhIQbImFQlLBrQBAEEV+QbMOGhJsE53BxGZ796hds3lsUdlUIgiCIgCGfGzYk3CQ4D366Fk9+sQHDp30TdlUIgiCIgCHRhg0JNwnOks37AACl5ZUh1yQIyC5FEAShhRQ3bEi4IQiCIIgERSXdDRMSboiEgRyKCYIg9JDmhg0JNwRBEASRoJBsw4aEmwSnJkntpLghCIIwUIPmABFIuCEIgiCIBEWGz83Bo6VY+MteVFYmj6REwk2CE4bmpryiEiu3HkB5RU1YoUUQBBG/yJgDzvvHQvzhle/x7tJt3jOLE0i4IYR56D9rcfHz3+Gh/6wNtFxyKCYIgpDP9gPHAACzVu0KuSbyIOGGEOaNxVt0/yUIgiDCIXkMSXIh4YZIGBRyKSYIgtBRWZNWlQhAwg1BEARBJCgk27Ah4YZIGMjnhiAIguCBhJsEh3aEJQiCIAg9JNwQBEEQBJFU+1SRcJPgJE9XdIasUgRBEAQPJNwQBEHUMPYXlWL6179hd2Fx2FUh4ohkWpEaunDz3HPPoU2bNsjMzES/fv2wZMkSy7RlZWV4+OGH0b59e2RmZqJHjx6YPXt2gLWNP5KnKzqjkEcxQUhh/Nsr8Nj/1uG6V5eGXRWC8IVQhZuZM2di4sSJmDx5MlasWIEePXpgxIgR2L17NzP9fffdhxdffBH/+Mc/sHbtWtx00024+OKLsXLlyoBrHj/UJLMUQRBy+O63fQCAn3cVhlwTgvCHUIWbp59+GmPGjMHo0aPRuXNnTJ8+HVlZWZgxYwYz/RtvvIF77rkH5557Ltq1a4exY8fi3HPPxVNPPRVwzQmCIAiCiFdCE25KS0uxfPlyDBs2rLoykQiGDRuGRYsWMa8pKSlBZmam7litWrWwcOFCX+saz9BKcIIgCILQE5pws3fvXlRUVCAvL093PC8vD/n5+cxrRowYgaeffhq//PILKisrMWfOHHz44YfYtct6s6+SkhIUFhbq/hEEQRAEkbyE7lAswt///neceOKJ6NSpE9LT0zF+/HiMHj0akYj1bUydOhW5ubmxfy1btgywxoRMyJ+YIAiC4CE04aZhw4ZISUlBQUGB7nhBQQGaNGnCvKZRo0b4+OOPUVRUhC1btmDdunXIzs5Gu3btLMuZNGkSDh06FPu3bds2qfdBEARBEER8EZpwk56ejt69e2Pu3LmxY5WVlZg7dy769+9ve21mZiaaN2+O8vJyfPDBB7jwwgst02ZkZCAnJ0f3L5lIpoiSTiRTDAYifI6UlGP5lv20hQlBJCGhmqUmTpyIl19+Gf/617/w888/Y+zYsSgqKsLo0aMBANdeey0mTZoUS//999/jww8/xMaNG7FgwQKcffbZqKysxJ///OewboEIEDJLETL53Qvf4dIXFuG9ZaTNJYhkIzXMwq+44grs2bMHDzzwAPLz89GzZ0/Mnj075mS8detWnT9NcXEx7rvvPmzcuBHZ2dk499xz8cYbb6Bu3boh3UH41KSPTpJtCJmsyz8MAPhgxQ5ccUqrkGtDEIRMQhVuAGD8+PEYP34889z8+fN1fw8ZMgRr164NoFaEHREFqKxBQhWR3JDQTBDJR0KtliLigwjZhwiCIIg4hoQbQpiwZBuSqQiCIAgeSLhJcMKwDiX6qqVPftiBkc8swLb9R8OuCkEQBOEDJNwQwoSnuZFT8IR3f8CanYW49+PVzPM7Dx7DtC83YM/hEinlEfENaQRrDvuLSnG0tDzsahABELpDMeGNMFZLJctkUFTCHuSu/uf32LS3CN/9tg/v/dE+5pIMtuwrAgC0blDb97IIoqZypKQcJz8yB7XTU7Dm4bPDrg7hM6S5SWJWbD2Aie/9gN2Hi6Xmm+hmKSc27a0SNpZs2u97WSXlFRjyxHwMeWI+SsorfC8vTFRVRXFZct8jEb9sPv5eF5VW4IjFhw2RPJBwk/BYq24uef47fLhiByZ9sEpqiZGwzFLhFOsrh4urB9kjxck94I5/eyU63T+bfJ2IUKiTWW2ooD6Y/JBwUwOIaiJkQUvB/UGWT1G88tmqXQCAN7/fEnJN9CS7JpKoQmvCJ+Em+SHhpiYge+wOay6QXC5NaQRRc9DquHfTYgEmybRXIQk3NYBkkW1kEw+vcU3aPoMQZ++REhw6WhZ2NZIC7Qap9NolP7RaKsHhmRxlmzvCMp8ku/kgue+OEOVoaTn6/OVLAMDmx0aGXJvERzdU0lcFk2QaY0lzUwOQ3V3DciiWTZLcBuGReHV12rb/WNhVSCpInnGGzFJE3MDTFWUP3onsUKzG2QiXTIMJ4R/x1m8TEzJL1STILEUIk6h7S014dyV+23NETmV8IIFlRsIHSPCtZn3+YcxbvxujBrRBZlqKqzy08iHJimySySxFwk0NQH6HTcwX4JMfdoZdBcJnHvrPGuw9Uopnft8zqZbWq2pyC7+l5ZVIT7U2JIyY9g0AoLisArcN6+CqDK08Q5owNskkUJNZqgYg3ywlNz9eknJsT56xJC549dvN+M+PO/HLbn4NXbwKDTVl/n3w0zXocN//8Ovuw45pV20/5LocnebGdS5EokDCTYITxhdIvE4GBBGlvCLxp6+aMhm/9t1mAMA/vvrV13KSSSvhF8lkliLhpgYgfSl4SC9A0EJV0OXVlC/1IFChoqikHH+bswHr8gvDro4raDKWC/nc1CxIuElwuFZLSS4zaZaCO9xHELdJY6x/PPXFBvx97i84e9qCsKviGfIRkQu1ZvJDwk0NQLYGIlkcNeNtvoiz6iQcRgHgp+0Hua6LV1V8vPXPREevuaHGTXZIuCGECW0peJxOQrKgAVcuydSaTvfyj7m/4D8/0mpAO8jMV7Mg4aYGIF9zIze/sHA0SwVwoyTPyMPYlskkLNrdyvItB/DUnA245Z2VwVWIwbb9R/Hhiu2oqHTX7n6/bUnUHQgOKM5NgsO1t5TkYaOmOBQHgUpRU6VhbL+a0p77jsTHDteDHp8HACgqrcA1p7YOuTb2kKCT/JDmhhAmHhyKK11+HYoQiEMxreDwBZG2jFehWb8UPL46h512ZvHGfb6V6+VZxXN7EvIh4SbB4VG9J8veUtpSb33XfxV8ELeZKENscVkFvliTj6KS8rCrYonxXUh0YTFeJ+CZS7eiy+TZ+O63vewE8VltvZY0TutIyIOEmxqA9Dk6Dr50//vTLqH0ieB/Ea+TGQDc+9Fq3PjGckwIQKi046ftB7HRYn+w+G0978jsvoeOlrm+dvuBo7jrg1UoLqvEzW+tkFcp+O/jlgBDACEREm5qAtKD+CUe8TqwqQkShvaDFdsBAF/+vDu0OuwuLMYFz36LM576mit9vDbnM3N/wZjXlzk63vrVZ3s98oWr6z5csR2n/XVe7O94faesUC1+E8kJCTc1ACdhZMmm/diyr4g7v7DMUl6ENDeDWRCO04k2QYTJ1v1Hbc+b2jJOG/fpORswZ20B5q0LR1B06672zNxfuNLFqwZS+yERp10jdOL12bmBVkvVcNbnH8blLy4CAGx+bCTXNfHqgGkHyyzlKLwEvf1CsMWFhluh0anfGQdm3vYMKyhlcXmF7fl47w+JYOrVotfcJFbdCXFIc5PgcG2/YDN2r9kpvstuaEvBPVzLaqd4GOBotZR/JFN7xsO9xEEVTDz8n7U448n5OCLo6B4P7SkbGTJ6MgVKJeGmBmDXXd28EImpuRG/Jpi9pZJwlPUN+yeSaBOWU30TTTMSBjO+3YSNe4vw/rJtjmmTvTlluAsk03hEwk2iwxPET7I0EtpScC8xLhgNJesr5dfdh3HqlLl4c/EW4Wsp9oZ/8LZnWLL6waOlmL16F0rLK5nn482MYmwnqxqFIUTw+RGF34Zu+PbXvRjyxDx896vF0vvjxEP8sXiChBtCmIim1yTK16UrzQ3nYDHpw1XILyzGfR+vFi5DN4ElRlOGhvZ5LN9ywNOS5njg/k/W4KY3V+AfX7EddeOtP/hdnSC3X0iUcQsArv7n99iy7yiu+uf3tulkfKyRWYpIKGR318zUlNjvEouvzmSA90Uvq3A/UCbSIBtPXPrCdzjzaf2ScPPeUgFWyAM8MZsS5V7CIvoelVVUYubSrdi6z7yyLtk/JGQo1ONBQygLEm5qAKKdfvfhYtvzmWnVws3RUvsVHzLx8lXh52DmJetki72x70gJ3v5+Kw4Xy9eqGJ/+XsOeSsaBOYAdOqRgLeDG1w2Y3r74qh4AYMbCTbjrg1UY/MQ80zlWM89ZW4Azn5qP1TvEF1bEG0Z3geKyCnyzYQ+Ky4Ibo+MJEm4SHK7VUgJCwbNf/YK+j87FjIWbrPPTZHcsQV4cX79IPEhOblTluw8XY9xbK7DoN//28HHL6NeW4p6PVuF+FyY6mSTS3lI8VY0HOYK3DmFqRez2tdLFuTn+3zGvL8Nve4ow5vVlPtfMf4w+N3d98BOunbEED3zC/y6SWYpILCz6657D5t2En/xiAwDg4f+u5cr6WGlwew3J2jRPdnnexnLxwGL3f7wan63ahStfXuypZD/4aXvVF/DsNfnS83ZyjDebpeJBJHDGqpqJ6iPiGq73zT6RXR+xM0vFw55pT3y+DiOfWYCjLsdU471/8sNOAMB7y7Zz55FMZikK4pfgcG2cyTj2yQ87MOHdH1AnU7wLaIs8VpoYPjd+vrJe5h03124/cMx9gQFRS2O6PHi0FN/8Yr/SQwaJOix7nVDCCkJohb/VsW8ru6LjfWXic/N+AwC8t3QbRg1sK3x9nHWD0CHNTQ2A1en/+r91AIDDxeJfCdqBwe1XRtC4+fLlHSu8DJSutoVIgEFM65f1h1e+x63veN9wMwFuWyrx7o8VrVNFpYrLpn8nL0MDBYX2PoD82VtrSQuLy3HlS4vxmeCGvH5Q7tJZTEaIjmQyS5HmhhBGOzAcDdDnRnaEYsfyApAi3EQoToQBSKu5Wb2jMJAyjQIsf3uGC49ZisWx0gq8u3SryXzlV781xbk5XvDqHYewdPMBzXF5ZR4pKUe/KXNtaqEv0/bWHeq1aOM+LNq4DyO7821DE2/Qaik9JNzUAFiToVUXjijOq0y0g1dxgKulvMAccCXNAZ7MUi4Gk0QI1qXV3MjCeW8p49+JMVDz9B9Wmr/OXofXvttsSueXTG5VzUpZ0gyj3tsP2G+WypXJceJdExbFTjjdtLcIbRvWZp4LbUPjOIXMUgkO12opgT6fkeo8KenNUgFqboJW3fBmLcnnhnsyToBBrFa6fOFGBBVqwscycTKlfsuIWJvgt8yBg88Nty3Z/5aas7YAc38ukJrn6U/OtzwnY1RIBK0wLyTc1ABE5sLMNPsuUVpeicUb98f+Tual4Pw+N+5xZ5YKDrerdJz6kR/Imq/mrduNqbN+RkVAgXK42piRhHVVkKuqVMN/q4/LqwPv7UTL5Hco9pcjJeUY8/oyXP+vZTgm+AEo8n5rn7cMc2SiaDt5IOEmweF5+ZlmKYvrnDQ3T81Zr/s7yABRXl5eX4P4eYlz40boCki6eev7LTjl0S+xdqe4z0wtP8xSAsO+qvJPYMZ+Nfq1pXjxm4345IcdArVzj9sQfqx+lzxTkxUexgAXYRfcohVo/BwjtfeRCObqICHhpoZiNalmOHxxf7Jypz4fl4PEkZJybNpb5O5iF7iqZgCDhZuvyaDGsHs/Wo29R0rxp/d/5EpfqdF0+OFz44jkCWs3Iw6UH/ApbhiCDEubE4J0I6s/StkbySYLP9tmxdYDuOLFRbFIx1pBQ5pPEoNKnebGe35kliISCiGzlIPmxpiXWzXm4Mfn4fQn52PNzmDCnntdCv7zrkLc9e+fsPOgfzFmeOsYtONgpY15RnuutKI65lF6qvyhxdmh2Lhaytukkpbi7h4qKlUhk5bVO+RUfaZZqgbobljEVktxOxTLbadLnv8O32/aj6uPb26pfUcrfBVuqn/LGBeSqf+QcJNgHDxa6mIFAT9OmhtZ7C8qBVDl38CLN/OPmSWb9jOOsjn3mQWYuWwbxr+9glEv19VydW3Qwo3VgDd7dT66Pvg55qytcpr08wvVDV5rIyqgrd5xCO8t3Yaznv4aw57+2lYo1GK5FNzBjMJq7yAfQbQsk89NiN3AXnPjv1nq0LGqPdW076hoWSKvt7YP0GopPbQUPMHo+fAcAMCSe89E4zqZriVta58b+wHdHOvCVfHSrg+qnOj16/IPe6+MNl/tBMZ7UcBjmFXb3fTmcgBV+/NsfmykPp0Pz9VRc2P2bOXL1+J4eopYQ5/3j4W6v/cVlaJRnQyhPHQIhGQIg3j8yrcVbix++1MRTVkBrdQks5Qe0twkKCJOniKOuE6qeGNeQQ5vQceTYbUb08/BS4TiOFwtZXSA5NXIBDp5OJQvow5uzVKx8l20m0gaXj+cRMHT3nHRPOzejpDaRlSjKdIMpLmxhjQ3CQ7faqlwy7e9Xk41fCmINVbInlDcXOrnGLZ8ywFc+sJ3+OOQdrFjvHXUq/3lP1mh1VIuyyiX6DfE62thbZbSpjEnqmRs6xaGNiXI8cWbABTcaintY0gkh+J41Ma5hTQ3NQD2JM3G6T2U5VDsBi8lyaoly43CU71c2HL8VB1PnfUzAODFrzdWH+S8wdA1N6btF8RroXWK9qq54XcqltdaYWhuZGnM3EZq1h3nXC0V6Lgl7HPD/35rBVzS3Ogh4aYGwOrybgdBk3ATggNjUNfyBzu1znzT3iI8Pnsd9h1hLyvWf53zlRfx8a1lDZDcZilOE9veIyV46ZvfLNvECvHtF8TzLSnTaG48m6W8pXMKExB2nJt4MoGJBvHzu6G0wlNgmhsJ+SWTzw2ZpQgdTl80idr5pX2pCWpuzv/HQhwpKcfPuwrx6ui+5mtdCV3+PQMRLZ9dQrtr/r18OwBg7s+7MfOP/XlzF0JV3W2/oNXceP0QZmluRAQSpz7L1CLGk8QhCE97y1JOBNlKfga6JrOUNaS5SVAqVRVPf7EeJeUMw7sBtprTXSeWrfkUGYtlOe7ywnQoFpRujpSUA6jyZbGoGU82hnpxJnRBCiPM6ZZ9fKEHRL9WvxdYig+IrZZilf7T9oN49qtfUGrzzmg1N16HeZbPjUg/1E6KvI7s8TA1hbsUnC/Ojd9o28BfzU31b792g09USHOToPznx134aCVfeHixvUrE8mJ9KRaVlGN/USla1s8SKNlfXDnusvKRPE65WS0lt3xVNyhKs9uH4vuhdxg1Tv4XPPstgKotRsYMbgcWpRWalWJeneU5tTRW2hYnLUzYEYp5ipq1ahdmrdqFx3/XHVnp3qcbJxOevVlKZf72G954R26QfU+JqplnQZqbBEUkUm50vpr25QY8M/cXAF58bgxLwRn59J86F4Men4ff9hxxzE9EG+PN50bOABPNZe7PBfj0x526YzzX8R63Q9YX2ua9Reg7ZS5e+uY3Td7u8wvqa5UPa7PUhgJjrKLqm9ZqQr2q6CtYq5mEzFLa35zX+djsbh7pzW+twH9/2oXpWgf1kHDj3yajLFHZRiyIn1jeTjj1+YLCYpz3jwV4d8lWuQX7AAk3CYrYF7aCA0WlmPblL3h6zgYcKSl3PQaaNDeMNIXFVaaYbzbsccxv2pe/YBwj6q9s3A5mq7YfivmIVOVTldH1/1qGW99ZiYLCYm+Rk12s4JD1bfWXz9Ziz+ESTJm1LnbMi+YmyMnDqQJ25bNMb1F0wo3He2D63DDSWZbjUD5bUApbqGSzl8N5nG0819+PU/fk3VvK71bSaVR8LK1SV47//PV/67B6RyHu/nBVAKV5g8xSCYrIihlF0Q/aVktUVZXjNfRBa/nZT7vw0AUlaJhtH8016GFbUYDzn9VHnVWhH7gOHSsz1au8ohKpnCtt3ISEl7X7bzmjH3jJ288Bfd663fh8Tb59+ab6sNNFbG6yVKJww7/KzOJ9dPDQZjsUcxXpCpPgYFmWN18jL9h333AEP1Y8IjvcBvGTgZNZ6vBxH8JEgDQ3CYqXL2yrS90EBJT1bnHZpSVpSLxizEv79/6iUvR6ZA4mzvyBLy8X5csyS7HaJF41N6NfW4p3l25zVRcjKTb3qBNuuEtjE514issqMH/9bhSXVVg4BrNxasOgl4KHbmnkwNahOED/Nr1Zyk+fG4tC3ebnkEki9IEoJNwkKCITnAK+L2k19n/8xKsa3Ii7eopvv/D+sm04XFyOD43O3g6OkFZ589XKHaxB106r4YTe58Z1NlLKV1VrjYjRLKV9lcortZobbzcRbYP7P16NUa8uxR3v/yi02s4xzg3zmuAaPlHe/ShOPkx+EVScm2BInGceunDz3HPPoU2bNsjMzES/fv2wZMkS2/TTpk1Dx44dUatWLbRs2RK33347iouLA6pt/CAyBymKfqBU4H4Q5HEodgNPNl6KcrcUXLweosXoN85kX11cVoHZq3fFdhz2c8WnJ7OUbrVS8IMgb/l22imZfhlR8+/7x322/vvTLjHNjUP+LG1n/E49zjWTs/FjNZMMfiF+aG627juKOWsLTMe1+fNEqnb7vsj+iHAyS4Xx0eKWUIWbmTNnYuLEiZg8eTJWrFiBHj16YMSIEdi9ezcz/dtvv427774bkydPxs8//4xXXnkFM2fOxD333BNwzcNHxHygQDH7IzDSVfnc2PdebrM7xAaQINXEnvMyVNbToMmR/q+z1+GmN1dg1KtRwV+OdMPU3MjYvdAi7yBRYd20qTa7fcucAL363OicRTmFongwG7itg5TVkJpH+86Srdi0t6g6jQ+i3+An5mHM68ts0/D0A10Ske0XJDsUOweOjIMOxkmows3TTz+NMWPGYPTo0ejcuTOmT5+OrKwszJgxg5n+u+++w8CBA3HVVVehTZs2GD58OK688kpHbU8yIq65cX4JeLqt2akwQDW4jMFPRj1MecvJyyqfD45/+a/cehCAPIdiP31u4sMsxU5nq7mx+UsUpmZFos8N28IV/PsYT/OdUfNQViHPQVwEfUBLnvQuywm48ePpWTsRmnBTWlqK5cuXY9iwYdWViUQwbNgwLFq0iHnNgAEDsHz58pgws3HjRsyaNQvnnntuIHWOJ0SdSu2cYO2Omcr1aWdmPp8g92+WHI+b43nZZCZaR542N/rByAq0x/oKS+Q4N2btpJXPjf5v7S27Wb1mBTNCsdBKInuTJfOyOJ18ove4u7AYR0v5V9yIPgNj/7V+h4NrKB6z1GerdsV+i62Wqv5td0/FZRWW57Q4je9x2r2YhCbc7N27FxUVFcjLy9Mdz8vLQ34+e8nnVVddhYcffhinnXYa0tLS0L59ewwdOtTWLFVSUoLCwkLdv6DxI0KlqOZGi9U7wDMxm3cFl4OxTkUl5bj6n4vxxqLNvuTPg7XPjXhm1toyjjY3/i1Jc8PqlnYxYJwwRggOExXWQfzsVkupFr/dwN5biv96JxMZS4AMo9l5+qOqArsOHUPfKXPR99G5rvOxy98xjcVvXxAQ9Bdv3Idb31npqhjenec73T8ba3c6z33Oq6USR7wJ3aFYhPnz52PKlCl4/vnnsWLFCnz44Yf47LPP8Mgjj1heM3XqVOTm5sb+tWzZMsAaAxv3HMHJf5mD5+f/6jqPbfuP4qVvfovtUwSITUIKFK4lg2btjqCt2HTO/Yvw6reb8O2v+3D/J2u4ynLGv5fSy9c+j4+HUUsnbYcElubGU37Vv0PR3HB6A9utCJNZbd6Jx2pCcbqaKdwEanoRO7544z4A0I1jojj1T/7tF1xXgQudidYhzg2P0GGFyHsWjU7vhQSSbcIL4tewYUOkpKSgoEDvaV5QUIAmTZowr7n//vtxzTXX4IYbbgAAdOvWDUVFRbjxxhtx7733IsKIbDdp0iRMnDgx9ndhYWGgAs6jn/2Mg0fL8Pjs9bh56Amu8hj5zAIUFpfjt93VznFCZinF8FUN1TpwmEPnNa2WkiQ0RHPZc7gEDbPTcaSET43Knb8bzY3FUGkSAl3Uh3WtVVuaNDeSHIr99bkJfhS8XRNbSIX1c7HT3OhMQR5vgVezYqlJdZDVnMISBAWf1iSYepnMUhK1r24JKs6NjFKcV0sljnQTmuYmPT0dvXv3xty51SrKyspKzJ07F/3792dec/ToUZMAk5KSAsBaS5CRkYGcnBzdPz8pKCzGzW8tj32lyAi4Ft3O4Nvf9saOOU1C2vZg+QDzDJasJvXTn/izn3bhlEe/xL0fr+b3MeDEz1fSb0dn06OWZpYyl+0lzo0+bynZCLF084HYb7tmNd6jXxPg/1blY+J7P+jzFDAlOZoIWMeC1NzEgV+V8bjd5Bxs21T/Zvle2SG2t5Tcm/IaxO/Rz9binwvC30cMCNksNXHiRLz88sv417/+hZ9//hljx45FUVERRo8eDQC49tprMWnSpFj6888/Hy+88ALeffddbNq0CXPmzMH999+P888/PybkhM3dH/yEWavy8fuXFgMwOy+KsHZnIb7UxFDQdiyn/m8nqFj1zwpVxYqtByzOHi/Xpxgrqqriic+r9jh6+3v5m7LJHANkmuJ0mhtes5RQCXxlR5G2/ULoS8FtfG44zVJeb+H95dvx4Qp9MEdmlhblODqL8h0KHNdaYQk923ZvqZB8wozt8eO2g/jr7HUxx2ovVamU2F95sBN+1u4sxMsLNuEvn/3sf0U4CHVvqSuuuAJ79uzBAw88gPz8fPTs2ROzZ8+OORlv3bpVp6m57777oCgK7rvvPuzYsQONGjXC+eefj0cffTSsWzCxZf9R3d+8vjHr8w9j094jOLtr09ixc59ZYJneKVutRK8oimESZXfQv3+5Qf+yGM7vLixGeYX+qKz3iUu17UVD4qKmvF/0PIMmq83LKyp1DWhVQ2M1ZK2WYtXVk0OxzufGdTYSYQtbQTkUM/MXMCU5CYisr/b3l23DrWecKE0DxwOvQ7GUsoTzV5hp/O6e2mdq3B3+wue+BVD1/Cadc5LpWhEhL2gzkd177cWXyg9C3zhz/PjxGD9+PPPc/PnzdX+npqZi8uTJmDx5cgA1c4exr/FORCOmfQMAeO+P/dG3bX3H9E6Dl7YaxojEqjHBcV5esEmfh6oiOjhs3HMEZzz1tbkcSe+WMR/WC+5pKbiLS3kHUjd5P/n5ery0YCPuGN7BuR6cfgSisCdP/5aZB4mqGkwDmlHZZJaymgD9uAeXWXIqbjDty1/QpkFtXNSrubuCROpkcZxlig9KmODeFdyhQpWVKvYfLXXczJcHK8fyDfmHPect0keljBsStdZ+k1CrpRIB46Au+iW8Zuchy3PazuPsc2Osl/U5K7S2YlaIcUCeY57fDn5+vnduvvafnfcrSssr8cTn66uvtaikUdBzO0at2HoAby7eEitHvlmq+rcf4Q9EUKG/P+0O6KkRRe+Tpmiv87kfsnzJLLV9DnlZJPhx+0GhOpVXVOKTH3Zg58FjQtdV14MvTTBzH2+ARntueH0Z+vzlSyzdvN9VLXiEZGvh0P5vLXpNu/8NbPfREl+iDQk30jE+fFETgt3yUaM2hrceVVXQam74uuGFz34b+10vK925Uh6oVDmyCtwsZbFayvi3B7t3WYX2ubAxChxundQvef473PfxasxfvwcAe6CSFecmbLOUcULR3mskonAJFL4obhh5Wk0Yxj6769AxTPrwJ6zLLzx+HbsMUd+V177bjAnv/oDTn5wvdJ0V8fQFrxNcdfWyr+NX66q2AHr120226XgQdSg2Yvc0g/6IsBVu4uexAyDhRjrGmAaiwg1v52Glsor8qcA8EPL0w3UatWm92mzhRlZ/rlT1DqCyHZflOhSbxBvnazyUJ9uh+Lc9RwCw4294Wgqu1dyEbZaC/jlpNTcpinmvNe111b/DN61pufWdlXhnyTac+3drXzxAXPu24JeqVZgl5Q4BWQxE6+fnRq688NRF92w5H61bJ2dt9lbyB3cdbG5KRCMv4znZFRH2+2KEhBvJmM1SYtcbnc94ywGAzg98js/X5JvOK4qiT6+Kf11lpol3FZEiuFTbwjXwB79ecBmDnQjSt1/Q5c1/3edr8vGahC9ky8oAqNBoyFIiNqYC3YovuVViVMt0TFVVzFq1C7/uPmLSIq3Zaa+xiRIPwoYR5y155WAbqkKSVm5DwWGMeX2ZbfA9bT+qrFTxyQ878Mh/10rXtMTT3lLxprkJ3aE42fDqc1NhE86SZ1XO3R/8hBFdmpiWjWuzddMHRVYBVZfDX5LfL6krh2Kr1VJGLRhH3ny9wDmjD5Zv120GKBtvmhuV+duJP76xHADQt20DdG4mLw6VtgZazY1x9SDvc5bBVS8vti3n6w17cPNbKwAAT/yuu6syZAm/vEhbCSWh2uY8+Ex+1hmaD1318vfYe6QE3/6613ySQaWqYuLMHwEAp7ZrwFeufRU0eQtn5wnb8Z6Em+TG2NnEfW6sz/E4qUXLrzRIN9q/t+4/iqJSsQjAln4Bkjq0sd1YreZFAJL63Whj4vPjBdd2oT+9/6O+bFUVnsyi6ZlB/DiyqqhUmUK7XnMj3hB7j5QIX2OFClX3lVxhiHEQlqZwncMKmZ+2Vy8ocGsiC15xo9r8ZXfQrxpojuseu5xKRPvpUZsxVFvur7uPxH7vL6ru4zx1BpwciuVqGp0jFFufI7NUkmNUOwprbji90a1SRTu7XTe7bDp713U7eHwUvGCOHcNI46EwX1dLGZfZM45rj1mtSrGqo52A7GWJO+taHmH8oue+ZR7X+9yI10vmIzLeW7lGdanaGEl8XwrugJ0ZhXsk0SQsKa/AO0u2YvuBo8fzCWcCUl2WLXqJcXK28knh97nxzvPzf7M9b2wXESFB5COCx3/IOSp24mhuSLiRjNfVUrxqP8tkqvm8AsW7g6elWcpbtlGcNpfziptq8gfxs0inmtP87ctfMOCxryzyFasH4G0lhtvtF1btsApXoPEzcDWRedDMGScIVd+eWs2NaqO50e/BFi5uv4S1k9gL83/DpA9X4UxGjCpZ9fFjUntj0WZcNv07FBaX6Y47DafG81bP067K07+uFkZkm/i4BAyTFlsxnPf2nnnBqrgjJeV4Y/GWQOviBJmlJOPdLHVc88LsRc6dOnrUGMfDq23WzUAr8t4Z74dplhKugbYu8gYB26wcBh43O/Pa29y9mOrMyIpz46ZaXp6Q02pArc+N8ZxVEL+wpRttXY6UlHObkrVDzne/Ve1xV1JeCVVVsb+oVGYVAchrJm297/9kDQDg9UWb9WU5fEnYORTz9s/H/rfOvqKSEI1/U31ddVvJ/ih0Er6s2u2Bj1dbxkILCxJuJON9tZSq+6+WvUeqByZHs5ROc+Ndwuf50vWKnzZbV5obixf9kx8M+wUxNDSAuEBp1cZ2X4+yTXWytnZw1d883IvxfVENqhujudjaQV5bnXClG23p5/1jIfd1WgE1LaX6j3s/Xu1p3zar94HHwd7tx4X9Rpj6PDfuOYJ/LdJrD3Q+KWD/9gNv76VJdaM/r/mt97nxfk9O7WL1XkdX6cYTZJaSjPbZl5RXCO/xEh2kHSdGi/PRzmcM4ue143uN1eCcv3NGXsp6+osNwtdYzfMP/met7m9r526xCltHKLbGjRAR++pjXOtFDW816AaBsTzVUJ9yo1nKchUNdOl48cOXxW2WWoEgVbM3n5Vgw/vI3e6BVX09H1pB1Cq+Fgun7WG8+KdJgyNDB9lGh9AHFOfNHC0tt9wnircN4yGQI2luJKMdZDveNxsd8rKFrq9gCCcsnOzfxrOeXW6kmnXMefm9pHEh57JNN1hNiLKajDf8uihszY2c/Nyoy718TbPeF20/02p27vloFVrUq8Wug4VzuBN+PGvXPjcWmpsgWbuz0HAv4G5QrZ9N3aw03Tl9xGFD/g6oln/Ih+fZLfhlLzYUmFfPOY212j3//BAiukz+HKoKrHvkbGSmpejL5vgoqKpX+PGWSHMjGeMgu6HgiEVKNtHLHYUbB02K8bx3nxur8sQz5lFbs14M7Yt1UlN58VC8oBpUBPotCPTaAse8LI7bRyiVKxDY7ZjthD4Ok5x+wZuXyedGb5XSaW4A4NoZS6r/ME7CDvVh1pE/qX0+WgHRteamGq3mxiuWZinD38fKKnDuMwtwjiaSckWlij9/8JP5WkYja/2C0gzStqhAow9eKi64un0dePvO8L99Y77WoQ6WGkm+Im0pq6iOFM9a1cljzo0XSLiRjN2AZBWdkvWFabfHVFU59qYQY6RV/3xurFmzs5B5H6xreAbyoF8gnnHN7gtN3CwlXo+KChXPfvULFh13HPVanqgZ1So/V0vBPQyc5n6mOpy3qoT2J/9N+LODuFvNjcYsJVFzw7ta6nCx2aSxaW8R17UAcOCos29h1bXO7WMlDPE+L9nKB64xxVA182qp6t/Szb8OwiPvPmjxIOuQcCMZu5fG+PUYRTvwlnP63DgJG8bT3l8C++vfXLzFFEL/0x934sFP15jSsusiKgj4//rw+J8YNQQyvrzN9bA+9+mPO/HkFxtwJSPyrWV+x/8ruw39GnS5TA5GnxvV+I7I0yQx0wrn7l+e2v6SyiGsep3ATRObQMOxUmr3uDJN9IKVdauJ84qXokSuNYY4sEP0Y42pYbe6zqQ5DV+8IeFGMnZfiKxzX6zJx6WaoHpR7Y6j3dXqOMNnR7W7gBO7r+pjpRW47+PVePA/a3HwqH6pKSv2ASsvc4TiONwgh0HVJOqskePKy+Ih2bWF1RcxX3ly8WtXcJ52NK2WMuXBWZZFXBQn/HCgluJQLLpc0w2miY2RxHL8sJ9BbYPGceTvFDLDiaC3sgCcTfTaNrH6YHZbnv49YmjdDYfKKiqxdd9Rz3XwA3IoloxdX2MFXLvx+L46xjROanTrl9l8vsosZZudI5arpaCiVPOlVcqxszBrwKqsVAP9suKBd1izGg4qOQdp5sXaethUxM0Xkt32C17Q9zkXmhLB41rYPjfipgddtUU0ED70XdfLp0N2KBbpV4Zp/Pj12rxsruV5pSz6pN9jjeXKR8bLbNZ6OOVd/Vv2RpxOu4wbn+2oV5fg21/NJvF4GMpJcxMg2p2JrajkNkvZJzB2Qs8+Nzb2duM+Vo55Cag79dfFwyujR4VeKNO2BbefhzFPVcXmvUWx+7V3KHZVhOW13Mt6HdLxRk52u9mmEfZqKc1vznzsv1uDxRhygJeIzizl/xBv0pJ5zk9cCLEWZNmaOG7NDWc6mRjvxdbnTqehdzveaH/bay61aQuLy5iCjTFdWLjS3Fx88cXMAVdRFGRmZuKEE07AVVddhY4dO3quYDJRzrE+lncpuMhqKhWqrw7F2lNug8DJcr6VCqegZjUYi5ulqnhm7q/425cbcNOQ9rj7nE7+RSh2EAjseG7er7bX8n5R8gggPHUyx7nRD/Xck6TDlyvPdV6QEVzOL4diK4z3LqS5YWoHNOdtzVLOQpD13lKcdXS7WsrdZVXXGi62+7gR+YCyysdS28z8CK0+2P3BLyzLCjsAJuBSc5Obm4uvvvoKK1asgKIoUBQFK1euxFdffYXy8nLMnDkTPXr0wLffsjfYq6nwdMTqIH4Owotg2W4H36KScny4YjsOHSuzTKMLGOiyLlwqZo68ZeJmXNM+Y7cRiv/2ZVXAwegeN0HGueHlSUZQRHdf3Pr6qKqK4rIKQxr+90ZXvovJzO1y9ngYzFmkBeBzY7p3Ac0sq914zUfCZinn5NKwqhufUy9/3kaH4neWbMXpT87Hln3ufPGsIjrHzvu8B6BMXGlumjRpgquuugrPPvssIsfVnpWVlZgwYQLq1KmDd999FzfddBPuuusuLFzIHzY82fnPT7tw/WltbdNEO5dbnxtjPlWJ3Q++3R/6wrYuRrMU1wojDkc1q7Ls8giDqgm5+m+9cCOnjvbaMPEy7CIUy/ridGOWAoA///snvL98O+bdMRRtG9Y25ctTNiB2H9o+63YyjAc1fBTR1VJGjpVW4N6PV+HsLk0wvEsTx/SyNDfRettpWEQXGliZPePocZkwaW6M5zW1N47Nkz5cBQB44BPzKlXr8tgfZOyPUHGNbFi4EutfeeUV3HbbbTHBBgAikQhuueUWvPTSS1AUBePHj8fq1aulVTQZeOS/zjb0aKdwdCrjzCea1q3E7axt0vucuNXcmDbOTIzFUgzzB1u44dNMsRPZam40z5VXRR1bCs6qgxdNkIt8DPoWvL98OwBgxsJNQmWbzFImM5VNHSwmPUtTLONE4NtN2Dxr/fYL4i/SPxdsxIcrdpgWO/DCEmzdasHMQis7H6vcLZuJszruV2267w9OH25WH1Nayir4B3ye8YuVNt5xJdyUl5dj3Trzzqnr1q1DRUWVSjkzMzOUZXSJTrQ/OWtu7M/Ldii2rgdj2bkG1tjKqkular1aKnqvbsweXuDpv//5caduhZhxDyMR3NyTtk0GPDYXh4utzYcyyuPOm3MYtPJxSdF0nIccHGs37S3CnsMltnWwNW9YVIh1yccrd6D3X77Ess37rfMIgDKbr5Vdh45h456qyOgpLhyKdzPa0g7jvYt8SDE/dDTX2wulHPlb+cOFNE3zTImm+7K5psKiv7LK4ZmNtWMz6znGg0aGF1fCzTXXXIPrr78ef/vb37Bw4UIsXLgQf/vb33D99dfj2muvBQB8/fXX6NKli9TK1gRYG1/apbPCKI37tXeT0SxjFLpYqzWYGgObMu5ihW3nrJ8XeAaDlxfoNQxvaTYnlCVQ2tVjzc7C2O+CwhLMWrWLO1/2l5mHL04L9bbtNRarWbSmuHeWWO9kvevQMZz+5Hz8ThMrqro+7HJYlDO+dFkfELfN/AH7i0rxf68ttSwrCOw+fl5ftAVnPPU1Dh0r43IoNgrxosoeYzuJbMjKNFE75CWERR/gzfaDFdvx1BfrxYuV2B/MZqlqrFbg8mictu47iitfWoyv1++JHdN2K6YGzsVHS1i48rn529/+hry8PDz++OMoKCgAAOTl5eH222/HXXfdBQAYPnw4zj77bHk1rSFEO5fTSy2i2VE1/y8b40osYymswVXUlvvesu14/Hc9AnlhtPXwqngUdii2OmFTEa1wAwiuVpPcnlbqbdtrLDU3fGWu3lHIPG4q3qY6i3/bhw73/Q+Tz+/C/cxNwdMCHszLOMJK7Dp0jMssVVBYrPtbVONurAkrsJx1oEvWMWshRDtpe1ktJcI/vvoVZ56Uh54t67rLQBCnlYa6oHsWbcXem0/PhJkrsXLrQSzaWL2cW6e5YWrYbaumKSt86caVcJOSkoJ7770X9957LwoLqwaXnBz9RoatWrXyXrsko3uLXMc01RGG7dOJbs/g567bOjWyoRzm4OqgigbY2go3k6coMrO1E/rYZbNTiXxJiwg3TrFhRNFe67W/8ZpTePe6sWPf8Y0aJ3+6Bg9dUK1ttmsLc0TkYAdzlqaJBU+tPAnIjEK8br+gbdrXvttsSC+mfbHSDIr2c2Pkdedy2ThtCMy61ihs6jRbFi8aj4DKim6ue4cFhNR4xHOEYqNQQ1jTqn6WYxr+1VIiZil/fW7sAkmxlqI6qaJZnPHkfE+bOvJQWSl3ipI1EIjcdQpPG8UiFJtPeaux/Vcf8woLs0G02zhFvLb207KqmVN9zH25qKQcf/lsLc7t1jR2jrn0PEB4ncfd1MvrayYSe4X9jshrTCvNYDxoFqzIN2nS9Oe192G1/QLrERqPHWFscOoUhJR7oUAcNK8rn5uCggJcc801aNasGVJTU5GSkqL7R7Dhed68ZilnzY5q+JujcBeoxrKMmhtOs5TT/W7cW4Rfdx+xKkYKpzz6JabM+llafrLMUiJmAkWpWinx19nr8N2ve23T+rv9Auc1Fl/iKYqCwuIy9HzYOlBYNAenuojVx3zNc/N+xTtLtuGaV5bEzhn9EYJeLVXGK9y4eFNEPyKMZbiNzB3F7nK9Wcq6DtV58fUPJ0TvyEt3ePv7rThQxKcp0vfD6t88QwZLMNIJNx5WS8WBbONOczNq1Chs3boV999/P5o2bUqronjheOLRzuX0cohFKPbXjKNVXxpL4XUonrdut9yKuWBfUSle0SxB9tpkwhOeRXKRt0tRFLy7dBtemP8bXpj/GzY/NlKsOJc3fehoGX7OP2zISnUcG6zk4khEwdyfC3C0tMJ0jdX1uuPgm/x46rN1v3ljQLeaIVlwm6VcaW6qn9kHy7fjjE6NUa92OncZLOFm16Fi0zFA327Vu9Xz1ZNnTHPTB2TgtawNBYfRr10DAIz3X5O1lUOx60jxlezfx46/h/wa2fDFG1fCzcKFC7FgwQL07NlTcnWSG54OH+0TTl8/IpobVfVvU8oqh2J2uYCV5sZcmXeXbkPzurVifz/zlTm8v6FgS7bsK8LPuw5jRJe8UAVvWdE8RW4hRVGw48Ax+/yO/5e5/YJAvbT0m/olisv0N1ypAk6LdfSaEo1ZivOm7TdWFL8bluaGJxdZ7xdvPjJ2g7ZC2/R/ev9H9GpVFx/dPNAyPY9/n1WEczdaXCEszVJilJRVYPWOQ+jSzJsbBm/cHLtxSxfEz8qhmJmnc7ksZ+Xyikp0ffBzKAAy0xLHMuNKuGnZsmVcSGaJBk+T8S4Fd/S5MQ04/tml7LYcYDkU++ncDABDnpgPAHjluj4486Q8fwuzwc5cx8I6iB+/dBNRgPRUPmuzzC5hFGyAqvtPcRjMrfpxSooi7DBql69MbYBIPfyinGO1FODufoyv7MqtB+3LMPzNM9bEtHqMpK5MHxYXyTJL3fTmCgDAY5d040rv9d3SPgOTQ7H2Y9JiMJ3rUhOuze66GUsw/vQTcO2A1rEx/kiJ2U+HRTxIB658bqZNm4a7774bmzdvllyd5EamcCOyPYMKn1dLGbREWngdikXhyWHF1gO+l2F7vahVSpJZKoMh3PBG1fVrtZgVVilSFE7hxsYsxVOObd7Rq7hUNy4K8ABPBFoFfG1ohFdrZgWfcHP8v6zFBS6c0XnS6PN198C0caz8RPsI7J6GVoO3j9NPxw7js3t23q+u+lA86D5caW6uuOIKHD16FO3bt0dWVhbS0tJ05/fv329xZfJy6FiZ58kU0DoU86WzQjdoqD6uloL9NgPM1Ttx0PGDwOTU7VLCFJlrIgoshBtzfn4/BvHJp/p3SkTxJlMYTrgyUQlcEnSX5l4t5SZz0Tg3hobiicFTfa25WJ+sUq4c3o14XaXG27T2ZqlqZI/rrNvbedDezB2vuBJupk2bJrkaic+vu49g9KtLbdPw+dxUpfG6FPzP/zZE9fXLKqWquroaBTyeYFJuy3VO438Zdpj2O3JI/8WaAsxenW86LrK/jaIoTLMUq2zW7bH6aN2sNBw8yr+tg13+dhXTLwVXOJ+xhdnBZS97f9l2V3kFvVqqnNOhy51DMX9eququpVXDf7Vwt6XK/GmZl4wnFNRz1j4Cs1mqug685kljntaY87v4+e+4y7DJJnBcCTfXXXed7HokPK72DGHAvxTc+nxpeSXWaVauGKMIy8Ro8prw7g+686yJOah5IOz3yxTE1uHGZy7bZjq2Pv+w0Id0paoiXWMKjPo2eFH1105PdSXc8JmlqtNo52tezY1lvqrhq53zuvUFmvfmeP29mMf8gkc7UlZRib99uUE4bxGzVKXq7t6r2pbdL/llG7EPHC8Oxaw8bNMJlMDKUyvQmOLcaH6zlmt7wesy/ijbDhxFblaulLzcwu1zE41EHP1t968mwrUbNkeamM+Nw4eZaB/0c28pUcEpKJ8br3hdacUKCCfKiGnfCC3rVFVVp7kpPe6b4aW93DaDiO8FoB9YuYIROpTh1cUi0c1Sbyza4ipvqzg3rH5Q1f7u756pUXSdG7uEQ0fLcO9Hq3RaZbda2aA0N9pHYPcquDV1W+YnKbvz/rEQ3/1mH2fLb7g1N/Xq1cOuXbvQuHFj1K1blznwR78SozuD1yR4JsKgNDemcN4uBBAR7AZaplnKIrlIHYMYY7ybpQz5ucxHRLioqNSvliouq0RGaophmSifPd9N+Vp4Bkrt7tba3ykWK2mM8DsUi7e+yBVBrx7lcShmxefhwep5s27R7bgSM0sxNCuuoltbXFOpAg//dy0+WKE3N7p9Wm7q5gbtO2p8X7V5yw4JILMf/+u7zRjQvqG0/EThFm6++uor1K9fHwAwb9483yqUqLi1Z5pSRH1uHDqZ3WnjOVX1b/CtMkuJam7YBO234ITX2ph8bgK4vcUb9+GNxdVf7CXlFQDSdHWxE1aYKnKh9VrazJyTaLdX0PoPRLh9bsSOixBb0ROHZilZ5gMWYppCt2ap4//VdBLV9MOMtmo6xZxNP1hfIM+aENRj1q2WMpmlNKZcgcbn+QCX2a2KSsJVcnALN0OGDGH+JqqQ53OjHk/rXnPDLFsotUC+qiocrM5KlSryYona28PA7FDsrkIi5jGtYAMAJYz4M+Llu7uOp49qhRutNuJwcTmyM5wDhlmVwNJeihLNIx73IbrlnZW+5S2y+4LRt8kLPJob0eeoQmU63bodG/wYU5yyNAmbFqZcGcj8wOSNieMX3MLNTz/95JzoON27d3dVmUSG5+uWp9tEBQUnrbNdpzZpbqBKt81W523/QojMi8kWGFLG0lNArA2NlBwXHrw4Qrotn2egLNEJN9XpH/nvWkw480TXZbC0l6KIaG6C1jo6bUsBuBfKRHeW9yI4sqrIm53ep41Npco23cSTWcpL3yHhxhpu4aZnz56xVRdOX5I10+fGOQ3P5M0fodjmHNPnxrl+rlDFPfatfW685yEVj2XIMkt58WuuMksJTHQS25XneVppbgBg7roCx+utl4Ib6yJ+YyJXJJNcvvOgeR+oH7YdtPS5ceXPxJRtnMc+K7OU1e7xxlAV2uNu8EOIZX14aosxbs+nTS1buJF5e0WJItxs2rQp9nvlypW44447cOedd6J///4AgEWLFuGpp57C448/Lr+WSQJPv4mpZh33lhJT3fq3FFwVHiisBsP9HiNsrssvxNsBRRDlQfsIvQgoQWpumOW7rDxPvyit0Prc6CeosnJ5pkdXty/i4O4mfx/zAdw98637jmLGt5tMxy967lt2GeJF6K9naDf5fJz0iYzmWC08zte88JrgRbZSYVVPO14bNWluHYq5VvRK7IAJo7lp3bp17Pdll12GZ555Bueee27sWPfu3dGyZUvcf//9uOiii6RWMhGQ7XMjsjGmqRyHv2VjO3YwV9V5L5OVx9nTFujThOwrIU9z4168KS6Lam74YKVzWzpPmdov7lKDbwTPpGRZhqnt3Wtu+D5K4k9146ZG3wou31Urvb3POofimHBjn+GsVbtw9wc/4aELuzjmX2mhuXGL1+fMup6l+dYeMb5/bh2KeZCZX8JobrSsWrUKbdu2NR1v27Yt1q5d67lSiYg0nxtOs5Td+8q61jfNjSquGo2/aYCN969SOXfqRXMTdabUrZYKqAJeHIoBvVbHCstVMpzpePLm0iSIZ+87fm85AUTNUuLYta1Tfje/VbWJ5e0zf+Qqh+lz4/KB8Q51Vvkbg5wCbC29XWRlbd7x7HPj9wbJTrjaOPOkk07C1KlTUVpabUYoLS3F1KlTcdJJJ0mrXCLhMd5bDJ4VA1Xp+M1SfvrcqKr4IBrYV67HYry+6FoVdtWqEnf5edHcRMP0c5tvGAndll5aXomDR+1NjSU2wg2f5oZ9Y8bbcNP/vUaZDZsg6lTlUOxGK6Ye/6/5mMzFD6pqNndqyxKFx7/w7e+34pfdRzzlybsYQb5wIzW7UHGluZk+fTrOP/98tGjRIrYy6qeffoKiKPjPf/4jtYKJgiyH4o17i7Dr0DHHTmt72nTOz+0XVNsXntUsQb8/boUpr00WDw7Fpcf9Vl6Y/xtXfqw6uhWuzp62AMfK7BcXaLUzRmGGZ98cS82N4YQrh+LYJTz1SI5ZQfRRy9Rusp2MvVGpqlI1NzzP+Z6PVgnl6eTwbFog4nCtJZI+wHl5dfQpwRZowJVw07dvX2zcuBFvvfUW1q1bB6Bqp/CrrroKtWvXllrBREFk+aQT176yBKMGtrFNY7sUnDE8+DX2utEKyZgIRPJwr4L2aF93+JsXT2apykpUVKqY/vVvzokll+8k2AAGnxuDAzGfWcpCc+PwNw8i10h7vSS+qEGIW64jFDPMUirMx7yigi0kuxduvNWHBbN+NmVq+3wyaVpk40q4AYDatWvjxhtvlFmXhEamJ/ovu4/gqEN0R5HVUm5MRyKIqpGlOBQLpHFbnNd6ympyL3JzeYWK22f+wJX2nSVbsWTzfveFuaDMRnPjyaHYmM6D5oZv9Y5w9r4ThM9N1dgiXIztc5OqZVblmm58WQrO8pHU1Jk1nlf/jsOOd5yAFUUmXAs3ALB27Vps3bpV53sDABdccIGnSiUiXGYpgWm2qNTe09yuT7O+Wn3zuYGTFonvmJ+4N0t5VrpLyc/19geoEhA+/XGnY37fb9yHSR+y1ekSlZIm7ByKeXa+tjZL8aWzzZvhF+KUNp4ISnMj6979mKf/9uUG3Z5lURZt3IcznpovnJ8f4yhLuOEtJp41N143HvaKK+Fm48aNuPjii7Fq1apYYD+g+mZqYhA/HjlV5OV1WkZnr7lhfAlIHjnaNaqNjXuKjpulxOoiRXMjkIfb4mQOHKqHehiDeInAEhBYk9GWfdabLHoRrpywE254vrj9DOIn8sCkvV4SJwQ3dRL2uXGruTl+kd4sVfXH52vyLa8Trd+uQ+aAhFE27ikSywz+aG5Y/Vy3WsqmTKG9pQLWpYStuXE1bE6YMAFt27bF7t27kZWVhTVr1uCbb75Bnz59MH/+fMlVTAx449xs238UH67YzvTg11LkEF7drlObdqNWVekSfvXt2jsrs79Kgv3ccG1f91hPGdoDwNugVM74amUvv7WunK+aG8174MZ8YKXcMTsUC2eNPUdK8K/vNuPQsTLHtPFoHYhrn5vYf/VON78UHMbSzQesrwu5nf0on9mGKvOnqQ5+bqDqlZAVN+40N4sWLcJXX32Fhg0bIhKJIBKJ4LTTTsPUqVNx6623YuXKlbLrGfdw+dxAxaDH5wEAUlMiuKBHM8u0Rx01N/blmNJLfgmiWjonh+LVOwpx81vL8fzVvWPHjnHsi+OE0DJdl8O8Z58bb5dX42GQ4DHthIl2KbibqvL2azcmwQ9X7MCHK3bw1SPsWZeFizo9+tnPwkV4uXXjtVv3W2sQ44HgNDfVv00fSYzAh/FI0JoiI640NxUVFahTpw4AoGHDhti5s8qm37p1a6xfv15e7RIIHvuidlL/zSEOgpPmJjpY92xZ13TuvaXb9GkhFqabh+jdOvncAMCsVfkoKKxWD/9u+iKpdbGCpfoWwWuTmcoNYSBix/gwT/ZhDZJas1SF6PbyENg4UzjnkAh5tZRoyHxVdVcOa9m3ivC/9p3wR7ixL8fu48z9ajX/34iwn6Ur4aZr16748ceq6JD9+vXD448/jm+//RYPP/ww2rVrJ7WCiQLPc9TaeJvmZtqmdfK5iQoU9Wunm849+cUG3d9OfjFu0C5953lRlmyqXoUjQ5WqLXLz3iLmxnneVzt5NEvpvrA8OF56qAZrxRHra/tuC2diwF/HQO1z44lrY8QqxpJ581h/B/N4/oL2E7dB/KKPRx/nRnX82g97wvTDCsQM3aH9bWPedjuuB2HNCltOdWWWuu+++1BUVDVRP/zwwzjvvPMwaNAgNGjQADNnzpRawUSB56XTak+clrk6+9wcL9e5WADybbPR+7XaddcIT8wTN8xfvxujXl2K/u0amM79c+EmrC84jBev6c240hmvLSbL58YLVg7Foju5+4X2PXAzUPOapfwezONxtVQQpjK32y9EMV3rMKCF3m39EG4Yedpuv+BwLV+ZyS/duBJuRowYEft9wgknYN26ddi/fz/q1asX+vKvsOCxL2onFOMmgUZYmghmuVxL0NnmCS/EfG7A5ysh+2VSAfy6+whGvboUQNXSThYLftlruxLIDtbkkJeTgYLCElf5ucXL9GHlUCwy8UV8fKW1uzm7MZ1aXRK0YBn6pMsgiDq5FRpjy+y1viUIfT50hCewpCiODsWmvlx9IL41Nwm4FFzL9u3bAQAtWrTwXJlERnT7BSfNDb8w4Fzwmh2H8M2GPZz5iZVaZeJwrqsfL9Owp7/mSufG3AGwtQIZqSnc18tyufEySVlFPxXJM6jvFTdO71ZaQ+NRv7UYcSjbBCRwuXO6qa6bqjvmFOk9Gb+dnTQ3dg0stPuCpu2C0DSG/axc+dxUVlbi4YcfRm5uLlq3bo3WrVujbt26eOSRR1DpwimwpqDtiGUOmhnegYnnq3pfkf3mhW6Ixl5RwWfykj25iGTH0l5wleHqKs31Jqddt85/7uvAMgfuO1KCvUf4tU9BfYG509xYCDc2X7t+EI+rpYKoUaXqbqKMXmHS3CSh8OIEM1yGnebG4VoeaoBVyp3m5t5778Urr7yCxx57DAMHDgQALFy4EA8++CCKi4vx6KOPSq1kIsDzUlYI+NzwdtqwBgPthMczJ4UZjsH1SjHGZW7bW2Vn5zus1S/TvvwF0778JYTa2OMqzo3FNaZNS13ViB9Zk0X8iUj2VDkUy8svbFNGGAj73KjA5E9Wo6zSfdsHItwkYoTif/3rX/jnP/+p22ahe/fuaN68OW6++eYaKtyIPcgSJ7MUZz4yN+wUIaJxKOYRxOR/OfPnx7NHEQvWfYm0trwJz31GR4rFlvayCKqLuRFurH1u9Cdkx3lilOhz/uIE4TRaWel2KfhxnxvDMae+tmrHIRelxTfMXcG1vw3PsaikHP9aVOWrlurSIY7MUhbs378fnTp1Mh3v1KkT9u8PduO9eEH0OZaV23eueNfcaAvmmThkTy4i47bblWLSxbEQvrJE45awCKqLuVnBZfWeGMPuJ4rmJtFwHSAz+l9Bs9S2/cdclRfPsM1S1pobrSZaRCutbdqasBTclXDTo0cPPPvss6bjzz77LLp37y6c33PPPYc2bdogMzMT/fr1w5IlSyzTDh06FIqimP6NHDlSuFyZiAoZdtoERQH3aByW6q9ac5MAZim3DsUS49yw/ubPxz0lnKvuguaUNvVMx9wIwFbP9q3vt+rz9rn/xaNsE4TA5TlCsablDh4tRb7NXlDJCqtv2vncyKAmBPFzZZZ6/PHHMXLkSHz55Zfo378/gKotGbZt24ZZs2YJ5TVz5kxMnDgR06dPR79+/TBt2jSMGDEC69evR+PGjU3pP/zwQ90u5Pv27UOPHj1w2WWXubkVaYjaiu2Em4ii8GtuhEqVR3WEYr7gdNIdigXSuvW5iZcIxTxNN7J7U3z20y7Tcd6QArb4MEqxhHKZDsVGEiWIn8yWDsL04HZX8FiEYs2l3/66D9/+yg7pIIvereth+ZYDvpYhCnujY+vzMmKWBfOxmYDbLwwZMgQbNmzAxRdfjIMHD+LgwYO45JJLsGbNGrzxxhtCeT399NMYM2YMRo8ejc6dO2P69OnIysrCjBkzmOnr16+PJk2axP7NmTMHWVlZ4Qs3gs/RLl5CRIl/nxvevaWiRN9P/30fzLiO8cOoqkh7+/31FaVb81yc1KQO85xbfyMtfvQwlquATIdiI35/qMoS3kVz6dw0xzqvAF61SpeaG1acmyDwM2aTW5w2Fzabpdy/08VlFVi8cZ+UccGJhNTcAECzZs1MjsM//vgjXnnlFbz00ktceZSWlmL58uWYNGlS7FgkEsGwYcOwaBHf/kOvvPIKfv/736N27drM8yUlJSgpqV72WlhYyJWvKMI+NzamEsVCc9OuYW1s3FtkSCtYsCR0gwRXnJuqNGWSQgWIfIm719wwrhNob0mKG8crFQWIWIzaMsxSfvQxlpDo5jnxXuO3FiMsn5ur+rXCfR+vZp7TVikloviyg7TqOUJxsA0X1segHaypQPeoDOfdPkdFASa+9wNmrcrH73r7H5cu7JZ2pbmRxd69e1FRUYG8vDzd8by8POTn5ztev2TJEqxevRo33HCDZZqpU6ciNzc39q9ly5ae681C1PeltLzCcoJWYB4sxwxqy0ybKJqbNxZvwea9RaHsUh1WnBtTfj6ZpRRY94MgvtDckMIQxtxo9cLcfmGxJiq210l6zOvLsPCXvULXdGuey71axi+Nhet2ZZilgoDV78KGNQ/wOhSLMmtV1bz67+XbXefBS9hLwUMVbrzyyiuvoFu3bujbt69lmkmTJuHQoUOxf9u2bbNM6wVxh2LVdmAw9vda6alMUThRfG62HziGoU/OdwxeyIvI6+20Ms2yDM9LwQNyKFYUpFh0QBlf6/6YpeRobng1gX4E2fv9S4ur//CY/Zy1BfjDK98LX2c37mj7n1/xY1SXHsVhOWDHo+bGOYif/nwYpn03hN3SoQo3DRs2REpKCgoKCnTHCwoK0KRJE9tri4qK8O677+L666+3TZeRkYGcnBzdPz8QN0tV2g64xg6tWJQRlnRcvXGm2NdbGJoEt6Ywt2NIz5Z1AcgbwJ0mZgXWZikvX3mx/H3oY6zquhm0izk3ZPV9byl/s7fE7tlo79mvYaIqQrE7lm3ej0te+E5qfZyIQ9kGrOHJzudG9lY6fhF2Wwv53FxyySW25w8ePChUeHp6Onr37o25c+fioosuAlC1tcPcuXMxfvx422vff/99lJSU4A9/+INQmX4hbpayFm4UhkOxVfZhRyhWITZxyFqaLFKmLG0RD20b1kb92ulVfxjq6JtZSgHSUyyEmzg1S7G+oN3EuSku47u/ZNx+QYVq+1GlrZFfGgtVVbFqu3hgPVUFfjedz69SJvFolmL1Ha3AYzwdDeAnStDRn8OONi0k3OTm5jqev/baa4UqMHHiRFx33XXo06cP+vbti2nTpqGoqAijR48GAFx77bVo3rw5pk6dqrvulVdewUUXXYQGDRoIlecXbjQ3duOhscNbdZSw3tWIRucnMnGEobmRuZOvkxCr1bCZ49y4w+k6BUBaClsJK0Nz40cfk7UU/Fgpn+bG9zg3kvIXzcdec1OdmV/jREWlivdd+G8E7Ugcxcp8GyZM4Ubnc5MYZigAqJ2egqLj72TYTS0k3Lz66qvSK3DFFVdgz549eOCBB5Cfn4+ePXti9uzZMSfjrVu3IhLRD9zr16/HwoUL8cUXX0ivj1vc+Ny8MP83y/PG/m6puQlJOo59CQqqpWU5FIsJVAEODor1s7r7g59cZel0r4qiWAs3Eu7djz7Gqq4b/yDWxqAsktYsZXMuCM1NWYL4f0QJ28mVBTOIn/Z3AjWxlXk8DFwvBZfJ+PHjLc1Q8+fPNx3r2LFjIBEWRRCdACoqVfx9rvXmhcYOr4D9Yob9rqpQhXwlZGluRJ6+lEB2x3Fqbu0kYuyiCwRXw0RxMnmUV1QiLZUt3MhwKPbjy5FplnJR1wNH+Xa899ts5Md41KJeLdTJTMPPu6zDV9g7FPOl80IYO917weIbIFRYQQXtVkvFM9r3Ouy5KQ4fdYIi+CDtBtsqQclglrLIP6xBItqJVUHNjSwT0WGBDSFlmsKcXlhF8//SHIodql9SXmnpcyMrrpBsZGkStuw7ypXO79fEj/wjivMnE28z+qWxcCs00mope3TNKqmxZi7zZ6WwFq3iJmyfGxJuJCH6zjh9pZo0NxYFhOHICGhWSyF+nXtjZQbo56NozFJB7QqeErE2S8WZgjNG0HOM75peH7LnaSO7CUQ7xvjV3nHqr25JPJlN7NBtv5BAuhutw3bYciQJN5IQfY5OK0N4B+OwTN4xp1lVFRKwwgjix1smz0oKp68RRZNC1qDE07xWwk28EvSqFb8/AvzIv8oU7ZDG5vyOg9U7aPvV2m7NnmG5FQTtUNy5aQ7O6GTeI9EJ3VLwxJFtoO1pJNwkCaJqXzs/FUVhaW7Yaf2W6od2bISs9BTTcbfq3dIKPgdQmfCawngGap7JRvZL7TS4qaq/wo0fg2vQ5gHfFTe+aG44hG3OdvTLLJVoPjcJorgxaG4SEzJLJQkyNTcKWEH82F3F70FCAftrR2uWEvlqLXUZLdgLYZjCAHnPxql9VQDpqQkyah8ncOHG5/xlLLk3wqW50fwOY+J2E5soTILud66L0zoUB9zGXvqR9n5Jc5MkiD7IbfuP2Z43dmer/P1WtyuKwixbu7eUkM9NGBGKA/W5qRZDZT0ZnnwSzSwV9ETs93sS1h5e2nfTztQXb2Ypv/njkHZIZ7wTielzEyypEfdjiWLxOwwSa0SMY2Sq4PJyM81xbizS+j22KGAPCBGXmptwtl8IbniIaM1SkiZUpy83VVX9NUv5kGeymaX86NeKwufjVZ0++OnE9Wopn59H3VrpuKpfK9PxoH1u3Bb3xdp8XPPK9ygoLE7YzUVJc5MkyHyQzXJrmSY0q8nAf82NxZ5W0aOqmNdPdBLo26a+57rxEqRaV7daSlKePLJZwmlugnYo9lnA9Ue44fG5qf5t16S+7S3l8rZVqL5Pfqz8PSglAuXbX/dhwS97cf/HqwMvm3eneRb6NiefG+I4dTKqYiqqMO8Ybh3nxu+JW2EKVtpDInUoPb5yKSMtuK4nM9SL8/YLGrOUrKXgHBmxVPDxTPBmKX/zL5UVeVsjEov63ISxtYAXnxsvk6gTimLlKxiw5sbjBL/rULGkmvCTYhEziwe9JlFGbdyTWCNiHCPjQUa/Zisr2augWGX4HaOtShNh71AsMr5FowVnpplXYPkF7wB8eZ8WnstSFEj/YOHS3JBDsS1+ryqU5bQuGlVYp7kJwZ/ErUZMVf3vAyzzSjzuLWVHGGZ8L1pOnUOxhLp4gYQbScjwuYm+i6t2HDLtdhxWEL+Iwv7K1joUu/G5CVK44dF8fHPn6Xj8dz0c0znNH9rTsrRqThOzn0vBXx19ii/awaDn4UTxudFW02qFpBbtuGAvLPjT4G41Nyr8jXVk5SsYdHwlr7JUNIxFkPWWFUU+7H28SLiRhIznGO3AR0rMWwuE51DMNkvFtl+A6ipCcabFXkh+ICN+DTeKNoifHMIM4lcnI9UXnUfQA5/f5ltpwg3vMsnoac1v29VSfvnceGhWX4UbC7NU4EvBPV4f3fg2SLNziQctJK2WSkJkvDR2eYTlc6NYaW5i5YsNcGFoboIMihxR9FotGTi1rwrVt8Ev1ad8g49Q7G/+0na71/rcODSRqopobvzhvaXu9itSVdX3PsDS3KR68Cdxi5cSo+NleoAfg17GLW1/DNsCSMKNJGQ8R1vhxuJ4IKul7HxuVHuzSZsGWbq/o46Xwb6s8tqIx8FTvubGOac0nwbt1IjiU4Ri+Xna4bvPjSTNTUWFVrjhMEtpfocRwmXVjkOurlPhs0MxFKbmJnDHe48zfLRfZQQ4XsqCIhQnCTLNUuz82Rb4QMxSjF6iFcTsJj9jrIkwvkR4BEDu3ZWd4o5YBD30As/2C359BfuVb9DOr377ZcoSbrT58LSQfil42IYAMfx3KDYfC3LckUHURJRo9QZIc5M0yPAhsIvBEFaEYijsCV2rnbDTLBgHsOjgHWRcliCjqPrhUMwnnCl46IIuaFU/yzGtCMav6xFd8qTkG3wQP2/PwkoWU1UV9328Ci8v2OQp/yhlhp28RTbODDJC8dCOjQAA9Wunu7reT4EcOG5OjwOzlNfS/NbcNMvNxOiBbTD+9BOk5Be2QKOFhJs4wo1ZKoi9pexXS5lj8rDSRYkuBU8PcJDhkW34NyB0Pi/7zpyqHz1/3YA2uP2sE6WWbfS5qSXJVyroJbleBVwr36O1uwrx5uKtnvLWUq7V3HA0kfbDw83HkVua5GQC8NKuqv+aG0b+aYkSxe84ZTEzvj8+ioqiYPL5XXDHiI4+5C09SyES60knObYve2hLwTmC+Nler/+7NATNTaARiqF4cii+5QzzF5Tjxpma87InjNSIonu+svIP2j/E6waPVv4hB4rKPOVrpFzrc8PjtRCSWao6Jpe7dv1gxQ7sOGi/v55XWJohv3zTrPD6SKLCo19mKW39so8HkZWVHy0FJ2LYhk+3OB6MQ7H5eGxvKYc4N8YBt+j4MvdAV0vxLAWXVZhGc+PGiVVRFKx+aAQWTTqj+qDjain/ME0Qkhoq6IHPq+bGSnA4WmoO2+CFUkHNjbZedtow2c6dUWHPrdD4wvzfZFbHhGLxUebX6j+/8csspW2i3Fpp3vPTRij2nJs3EvNJJylOcSpYY1cQSgmm5ia287VqObvOvPFUk8C282BVOPFmdWtJraMdMl1unF7YiMKRyOH67IxU5NXJjB0TEWBlfr0P7tAITXMzdcfkaW6CHfrKPQs37OPHyio85WtEr7mxFwJV1bBaKkB1WPT5eW1XP2GNp0GvlpL1RPwSbrTvoQzhRguZpYgY9j437HN+CzentmvgaJaymnz7tWtgGpyjqujmGuGmYXYGzu3WREJt2fCYpbhfRI69parL5cyTcT2v2c+YQNaA8vCFXfD6//U1PT9Z82fge0t5nIStPjx2F5Z4ytdIuXY/FY6HqV8txZdOBqkezVJ+oyBOHIolNbxvmhvN737tvG9mrN9+gcxSxHHcBPHz2yx1eZ+WzLK1fiV2VTDe0/6iUgBA83rVwo2iAM9f3dt7ZS3w6m+hxel1rXIojmq1xGFNUCLP2JcBRdVqE8Tyt/IVCH4puHezlFGLBQCPzvrZU75Gvvx5d+w3jxJQ51DsYkGCW1I4zFJ1Mr37cHiBZaZLVLOUnc+N9lUSlaW0febOER0xdmh7fDJuoGj1qsvX/ibNDRHFzVJOP4Wb1g2ykBKx2n6h6r+qQx1Yt9S4ToZOBer35nCrdxQ6ppElFGjNh24eTXTS137xOW2Oqnf4FS+ThVU2ootNrL44vQx8LeuLmzQ9CzcRBY//rrunPEThWi3lg0Pxc1edjOeuOtk2TXSsEvmwCRJFYce5SQt6bylJ+diZ03j9rphokmelp+KuszuhW/Nc0epVZ6eNUOw6FzmQcBNHuFgspfMnaeAy5oRlmTZlV0/g9m6zrAHu9I6NdX/L2lE5HtCucPE7Km4UrdnN7/lEVM1uKdx4GPpOapIjfI0Mn5ug1exVPjfOaaLYLwXnr/vI7k0dV+fwxKgJI2JyFAXsscer5iYseS3DZim49j5FNaJOLgeeIM0NwYO1z40+XLsf2DsU2/u0sKrUxKDel7UvT4+WdV1fyx2h2GmyUcQGh/SUCIZ0aBT7W9vW0Z9CZilZfUCTj36najGsBuWgJwmvGs4URX7kaSe4nqUmiczYQU458Whlwo6Y7EeQQNEcRccDK2zNUppTorfMSm7V7wS7I/ncENXYdgWF3ekqdDFO5NfJKl+dw6ugarpWun7Ciy5/7dpc/Itcy+ATG7q+ltdsIdLEPPPp6odGoFGdjOr8GQU4br+g+e33R5fohGXpc+Ohom4mi3KPAnQkEoJwA+cJwstXu23ZDlnxCA5hxjlRFMUf4Sake7JzKNYKtaICrkhyrnffg/+PbEi4iSdcOARq/TH8CmfOeqFjHd16JXhVOkYPy7R4UWfe2N9F7ar4cuJgtPSw9YDXyS9KROEKvRYjPTViuflh9GcomhsLRLuYH2YpN3h1Kud5rrI3glSqpBv7NJrfbjQlF/RoZl22DfFulqoqPw40N5L6ub3mRiPgCt7zrkPF3GmFBSeh1PIh4SZBsJq0KnWaG7/MUqz6VP3X2aHYfLFVAD8v9W9Wt5an60slOTXrHYo5tUGaauvNUlW/Dx61j4KrLUaaQ7FFPqLCk9Wg7KWrupkwlmza775AVEW2daqz7CiyPPepePhqB6wjhWvLPqlpDh48v7PuPI8gF75DMcuc7j3fMLDrWzpTkGD9DhfzB6EU9lUOWXVDwk0cYdcVrM5pJza/+pKtz42q2ppNWB3cSrjRJr305Bb489kd0atVXe46hv2lAOidQL0uZIvej4jgZdUHRONkeInX0yEvO/bbj6BpYYyZaSkRx/4lvVoKx1JwTjOA1TkeYfgPp7ZCbpY+wFu8a24U+KW5cePU4r0edg7FWvzcjJQr7zgKe0TCTRzhZnC6/7zqLyr/NDcss1TVf90sBefZeqFLsxzcPPQEZHK+1F4d99o3qs2Vjq+NRdW37tXKgH5VltXXUkpEwSAPPklReOo3oH11OdY+N/EgiooRdGwe0Z7mJk6W5TWKfTqe5xf2l7svE70b2UYCtpobxdv4wQuZpQhfUBhfcUM6NEKfNvVif/s19tovBXe4ltHFM9OcTRXRSKK8y6mrNqzkSmrijuEduAdikTKcav7ytX1MefJ+iVshqwt4+dLXxd2wuMCTWcpwreyw8ZblBlKKpjwOgV173s1kziPbKDA75/IUFapsoyjMODdeCUsbxWvy9FOgFDdL+VMPXki4iSPszVJsIcHKX0Mm7FgI1cfsNDesc5ZmKThPilZ4iUPiNCCINKuiWTLsJPg11qySiqLzueG8H71pkn2NFxOZXjPknD7CMeHK7KnDO+dJzM0aZ0FD7vvH9/w1X+2atuativWyX31eRh8bPrNUuLObHzFcRO9JVhPYmZX1Aq6c8liIjslhOwqQcJMgsF4S44vm11hip7nZuv8ovv11n+W1rOjDPD43URUo76QcUdxrbpwGLFGBI5rCSesUzVYvoDIycoDHoViFvW+UqW4Wx7nim2gqYeV46kUQMD6DIPYLqhJaHYRg6WU69zervjOiM99ebVb9xXg4xbDskcdEF7bPTTzEuSmRFKDUKNy0aVC9MlRbJ5mxjoyw2vOvl3ZDnYzqbTZ0QwxpbogoogO+cXlqoJobzp7LEm5qHRduereuMqnVO+6sqHtJo+HdOetYpcJ3d/9OY6DIGKnAjcmObYtyczfa5/K73i1iv1VVLGKyl9VSPNpEmV3VTydKLWGYpZywCr1vbBOr95Xn+VQJCvrzPJNo2JobPyZ60TFm7xE5G6sahZu6WdXR6PVaNrn33FgXg8ucd+emubp9ArWQWYqIYWuW4lCxehlM2Mu9FWY5VulZlDLix0R9bp6/+mSMHtgGH4wdoCsPEP8aVzyslnJqN5EBQ/u17SRKeGnX/u0aMI9rr29liPsjYxsynqbQPgmr5+hpEDZc6ufXqrZIxzpLrgaPH5n2tC7eiVG4sRRWrcvWpnGjuQlzclMUfxzARXN02heOF6PPjZVGVPuYfte7Ba7u18pTuS00gotVSBBL06ankr0T7rathA67wUBhnNf6dzhd70REUUz+MdE4LV5s16x9o6JmqbycTEw+v4tlfaoqwVeOSJ1ErxMzFVU/kwPHd0B3QuejYvB1sEL7Za6Lp6Mwfx7fJoOrOsev1eZffbxtA+dVZdr7sdQM8FfFubwANDc3DGrrKHj6YZay6/8q9H1E34/4yuDVrJl8buJcc8Nygo6SmRZBcZlLqSOkW0pP0ZvytR8N2iqlaqSbhtkZyKnlbYrniaOkG2cC2A6IF9LcxBF2ugdWPzEGifMymNhd6mXuYJmlrAOHVRN9SbWmlEZ1MnCWjfOoW92NmM8NP28s3mJ7PpptlmY7itoa+7Xd/VhN6Ky9qQAcjyTt3enm0t4tcP1pbWN/921bHwNP0GuRtHWw9rnhr4pT1VIUBQv+fLr7DB2YfdsgXNyrOYf/i/NN9W1bH52b5sRMs044a27YpiiT5kYwf708z1gtxTFzhG6WsPgoa5KTyUjNh+gtqaoqpR0yDCtMtWOo3qHYoHHzWLiTsFKlIWNfG7bmhoSbeMJWc2M+qRou4RlwLPNndtyqY16EJpZww7M8OOZzo5mPF919Bp74XXfLstw7FNufF82WN330mWoFmmzNb7stA7Rf5lZ7SxmfqQyzVEpEwcSzOsT+TktRGDFQtOn9334hElHQsn4Wc/WZDDo1yTFpSd1yyxknYNaEQVxf1KL+TXZf2VZ5ccW5UcxCarxvnFllSmOXn+dFuBG8J4+b0ccwBsO0ujftc1Ig9xmwIz4r1hqdkKUbMkslCKy+XFEhUXNjd86DQzHL54ZnBU1aLM5NNSkR+/193N698WvHKAQYl8XaIeLYHE2mFWi0WpxSm5UW1gKinBFFr2o2llH9OzUSMemDdJOs1VedxIEvqEmU59k7kSrwBaJATAjUTjK8bWK9Wkp/wtjfEmEpuHHSbZidgf7tGuLQsTJ873I7DtFbEtKW2mD0XdOPoRbaO8V589Da6XwaxKr8zMeM453+Qyvc50+amzjCXsAwHyuvVKV5youapXiLGtLBHBWXa2BkfSX4NFh6jXNj/FriL7fqv1rNjfa3HXqfm+rjuo03ddodsWHWrk20g1ZaimLy79Br4OTvCm4UtqJ5+T2XOpqlOPJIE3CU53Le1qTR+TpxNjBXpGGYhTIec4cfz+Pz2wZzpVOg12T3bVMfiyedgVrpKbioZ3PX5YsKbDK0paxyrczPqYYPNaexdu6fhtqe11afPSbbmDZD1tyQcBNH2HcGs1q8orJSb5by0JnchG7noXfr+vhk3EDusqJEX1LT5pM+vDBOPjVOcW6W339W9XmLl33qJd1Mx5zMUnbwmPZMTsGSBlqj+dAcvbb6b0stnYcHaXR8D2wpuGAx7RhbeqQeV2XxxktydnbXfKlr2oE7mBvHxKQwNAB8cW7kPxfeR22c2CMRTdsrCro1z3VVvugdydpqydiUVm0bMXxo2bVX/3YN0CSX30THEmgVmM3S8QIJNwmCleZGi7el4Hxf6tXH+OneQj+Q8OwoLBrnxgsicW5YzcQzuZ7branpWExzY+FQbF8nrSqY7fSn19wIxrnhTJcScfK5sZo9uatiwijcBLUqQ7SYr/40FG0b6gUcnr5fXZ6YdkQX58boc2NxPe9qNpNZisvnxjGJMCLPwC7uj11UdVnlA/5pblIMQkyUVMNgZSeEit5LhyZ1mHlo2zmIjZx5IeEmjhD1Jymv0HviOw0mjWwcLu0uZQ4EAj3XOEjzfPW5cVJzO47oVbzmArTnO+SZX3AtCth+QfZmv+qTnjU3Fr+ddm+3w+xTU/07opiFG8VmUmHVTRSjk2a0r/ht45cRD8lqpSAzP640Gu2EhRbHLjNL2dOgzXTjc+OH0Mntzwb9xG58du6FjnB0N8ZSrZrBKPQMO8l6dSnvx/CCP5+Oz249DS3qmoP1KazKxc6FK92QcBNH2PU11ktdUSn2Bfvh2AG45YwTMLhDI6GyWR7/flsCYhtn+m+V4nAUrU5wyxknmM8L5me6TpPealNRI9ZfS2zNDSA2zNr2RYMDo51ZymoS9KJlNIdAOH7cZz2fjL4nEpzSqYmMy4x1Ziluh2LnjwhFYWicOLL3RXMjkDbeNTftGWZL3nKNiyCsjuflZOKusztx5WlFy/pZ6NIs19Ln5rLjkdC7Ns9xlb9fkHCTICgwS8JllZW6ycxpMGlZPwt/Gt4RDWqnm87ZaVNYA4HfdtZ2DbOFr3H7NWb8SjWfr/5dKz3F1H7GpmDmYZPvCY2yNcf42tVaaNCWqRGAuHI1183pXIpi9gWzGmx583fCKGwHEcQP4BCCOfJIE4rXYA6saVcmlznQ5nq74ywBVsQfSBbceSrmlUMykHlH7Rvxj3HGcUEX7FP3sRExHbcKO8DTJs771in4Xe8W+OjmAZh5Y3/DmXChpeAJAstR1aS58dCd7K40lgP4p7lZcs+ZOFpagXrHBQi7ZcZ+wMq+SU4m9hwuQUQBMlPtl05aORSz6111rGX9LLz3x/6xPbZ40K2W0uVoo7mR5ACgm1AjClJU48RX/ZsniN8/ruyFW95ZyV2+lUOx/2pw+/x5umZaqpjmhvXuWZXpZF5lX8+puTFonJTj5dnFYvJDuBHRitqZpQLT3NicE2kfY0qrHeCNq6UA61g7omM406FYqepDvVrVY5wLV7wh4cYHUiKK46DEgvdrOUoZI4aMW+xeNNZA4FfHbWwMsCUwCPn1LqWlKFjz0Igq/5IIQ1NhI1BUp2Ec0xzs27a+UJ20gxuPE1/Vxpn86FdaWTuuRxRz3+HZzFW3/5TgKGu1FNxvZPSv6JJqnrwUOAs30H21a39bpdJj/d7rNQMsTVCKoqDCplf58T6KCAR6s5T+nNvgeqICtN0HBUuJpyjsIc9ec6M5znA0tqqD6BjOjndmk14od/mQWcoH3C5NtXcoNp8rZ0T/dYu9z00Qa5b4sGtZv6qpKApqZ6SiFkfAq6rNDr2ZBHjQf0VpV0tp8vcwu/AK2myH4urfPJob0ffF2B9lawiuObW1y3fY+RrRODdG4aZny7qmNFGsdggHYBnbxdqhWP/bGOdGUeB4u34IN9yaG0XRCQ/G56md8D8YO4B7+w7RbmGMIm+soxHLDTENh62sm9rrox9AVuMiz70Yg6ia87CZs0KWbki48QHRL1EuFKBRtn61E4926PSOZudhtiRvLZWzzVLB9NygxSo3y965fG4YB70IH1ZB/KyWiBrTeUHn5xVRbGOqWPnD6KNRexuGon3xilNa6o4/ciF7U1Ynbj3zRGSkiteJ53GmCq2W0muAPx0/EO+MOVWXxqhFi/3W/HFO1yZoa+G8yqtpZJkkKh3GH3/MUu40N8b3ulPTaufX3q3roWX9LOnlA/ZtxGofHk2nMZ3T6kRZmpvzezRj5GEoyyIsRRiQcOMDbl9q269lAH+5uKtupVNZpbPmpkG2efk3q6uz5qBoOlYxQfVbu9D/prQyRCFG/iIrXGDxRes1VpARK82C1YZ6gLOgeEWflg4pGPVgaG60z8w6iJ8mD49mqej1t5xxAp676uTY8Wv6txHyY4riQ2ieGGJxbvT7i3VvUdekPbRqR+0zqZuVZqkVtva5MZhBGO+AMc4WAF1cHz+CK3IH8XMo/5ELu2LUgDb47NbT5FTMAnufG/MxXgd8qzlGus+Npv+1bVgby+8bhtxa1e9U2Mu97SDhxgf8CV6loGluLbz+f31jx4x7SzG1A9z5W587v2eVxN63TbVfSFB+DjKX9xo3n4uV4aDSMGsW7G+eN86NFwHRyqFYe49mzY3DfQo4u0aJKIg5f7PgGayFfW4MfSJ6eWpKBCO7N8WXE4fEzAxueo/rjxOONKLCTbmNX51xM0+9A605LxZc2y8oiqnerD6+7pGzTTvEy0ZkMrXTHNSvnY4HL+iCLs3cRSrmRgXaNLTQmjGODT7RrGkHzM/P6r1irZay6kFu+nmD7AydaTVs05MdJNz4gB9fLKwcWV9OPLDmOFZHjx655tTWWHrvMLx+fV/NuYDMUqY4N+7L5fGZYWEUbkxmKJdV8nIvVgOTXnMjlr9Ojc95bSSi4Oah7a3z5Nh+QdjnxqBJNJq+TmicHTMzuDHF+WVyvW/kScJmKTt/N1VVDc7bmmt5nx+vWcoo3DCuy0xL8fRceeDW3Cg+jcOCWaqoMnOy0PazHi3rYvofeuOyPi0sylUw69ZBjvVgaW6szVI2FbfF+sI4cs8k4cYP3JulrK9jneIRblrU47MlO9W5UZ0My8BRiUIWl0OwGeNXa5/W9Wyv53d65EvHQjtHagcvOxOa08Cj/+rjrIeioE5mmmWb8DhIikz4AEtzY3fPLkZbqwnfY6e/YVA7pyJM9XB6x60cirXHVdW6PK4gfuAPCmhVH2mICDea8v0O8GiFqqrIzkhlBuzTCuXN62bi7K5NbCN6d25W7Sek2wFe6zit1arE6sCumwyfmHieB0i48QGnL4Z+Fst+7a7iWS3F6mg3Dm6Hq/q1wmujT7GtEw/a7INyFhPyuXEYv2qlcQg3jPzTDM6lxk0wjV+rrCrKbi6ryUaruTFOjE4DvJWMYdeuTnuAWe0K7sksZbH9Ak9aHtx+8LOq4SW2kAJnp10tVhu8qqqN47Cl5kYvKBm1Y1ZNpD3uh+laRGASipfokeaMrQmc0I2nx/+y3BDTcFy/QaZm/GEIuFbaPxm+oWE7DdtBwo0P2Ak3F/dqjpeu7YNWDO98W4dil5qbWukpmHJxNwzt2Dh2jOlQLNgTgvK5kYnWLPXjA8OZaViiiXHyrZuVHnO+vdygRraK3Cq635QTWqHByuemgsPhXItVYDA7ooObdhLXClHWShkx80W6RsA0xbmxuT5Ynxu5L4WiKK41N+YmYdfNKlaWa1OrC9OmUP7c6RTb1VIipDusnPu/gW3xxe2Dmee4g/gd/+nVoTiFIfRY+9zYVO44TutqjVmQWSrJsd9hG8itlYaHBZepsnI0OhvWr229MaYW1tckz8vvtE2BH8h8V7SaG6sBa8olXQFUDVhRWPf68EVd8PaYfnjkoq6mmCD8DsXuW9FKaNA6+xknLkezlIvJwMmixKW54ViNlpNZHW/UyqGYhZXm5KzO1hsKWmszgoVHc6Pfx4t9XIVqeU/HSss56sGU1h0JW3Mjy+dG2/dYRBTrsuzeuQjjefHv0s7Ok+1zY1G+FM2NqywCgSIU+wDPS8VKY3uV5mTD7AzsPVKCk1vXBQC8dE1vHDxahk37isQqqs2eo5PqVM4BqW6Mk5P9UnB7tJobq3wu7tUCZ3TMQ1qqghnfbrLMKyM1BQPaNwQAlGnMg7y+CYC3yVIrGFnFuTEKv84+NxYDtE3LRu/X2izFPq4tiafN6mSmYe+RUgCMXcFdaG7+cWUvrNpxCFf/83uUlus1XH6EcnCbn5DmxkbzZlW1Y2UVjvmG4TCfk5mKwmKz4CXiz6YYBDy3aPseC1bUcp5yWR+L1pob/XGW+Qkw+NwcP2FllnL7dHQmS1oKXrOwnfdt1I+2DsWaTvTB2P7445B2eObKXgCA4V2a4PJT+GOUsOPc8GhutPWJH166pjdXOq1DsV0AxNysNF1EVicNi07oszBLWe3LIsL0P1Tfp1X9tXUtN5ilnIZ3K4dU22sco6BaCUzV8Giw6mg1NyaB1/r6py/vwTyemZaCU9rUZ/r7KAr7fvg3QnCG554VOEcHt9rqglcraCncuAh3UFVu9W8vPi/RDwdz/sGPPHUcNDcKbPr58cfnFFss+psnYjQANDJuU3McneYmVgc5QfxYdYlnzQ0JNz5g9yUZfQlEvvABfSdq3aA2Jp1zEhrXYXdwN3Bpbny2p/NgHFTvGN4Bw7s04bq2aW610582Ai3r1dead5ycQvURe/WT3JzbB+PHB4ZL0XSl6rQy1YKLVf3MZiknh2LxOjoJxU6DflUa53Jaalb9GeU6u8vP7trUdOyDsQNs6xdU9G0nFMV5jzrdV7uF2bjKoZh9T8dK2X5ZTh8yfI7I1b9HdLE2A4oQxqPJyXQIBKlYj+d2T4/VVpYRvY//97mrTsbvT2mJ32s+ZnVaUIZE6Wn7BYewIXHyqjAh4cYH7CaJ6BmWnwGHwsc3aqeLWSiD6tROphQRoaF2RgqW3zcMK+4/y3H5sVvhzTgxNsjOQK5FlFxRla7O5MThTF5eUYkr+7YCAIy1iUXDyp+3ZszI1pqqWTdjdSInYaJ53VqYfEFnxpVOZZi5sm9L9LZZyg9Y37tTMbIFfgUcZinNb6sgfiqs635S0zrsfCV8nWsn/Kcu74lpV/R0l5ELZD4LJ81NVXns47YbZzLaWL/Zp1krN7J7Uzx2aXfLeFbaDyDV8F9z+c5t5GTOi5cPARahCzfPPfcc2rRpg8zMTPTr1w9LliyxTX/w4EGMGzcOTZs2RUZGBjp06IBZs2YFVFs+eDYTE+0UUgdORn8d0SUPt555IkYPbMNXn5AMU3arBpw0E6mRCBpkZ6C+TURddpliZimrc+Z8haqhM1FU6FYnsSmvVPHIhV3w31tOw53DOzoLihZfZPZOkVUJ2zRgx1Oy6ufaOdsp/tC7N56q01KazFICfdG4gKyUsfls3AzYiuhScM2lxn5ocUtndGrMFDqczVIWxxmmFgDIzkjFRb3Ym3eKEMaTcdLcVFaqlmOEaiNh6H1ujmtuLAQV3i6p33OuqlDLpeAuZ3/9M46Td4VBqMLNzJkzMXHiREyePBkrVqxAjx49MGLECOzevZuZvrS0FGeddRY2b96Mf//731i/fj1efvllNG/u/aWRCc/qD7bPjXV6ubKNubOnpUQw8awOmHw+3yqueNl+QcS857SkUwYRRT+O2alwRZtQO8/ZheWPUlZRidSUCLo2z0UkoqB7C/tQ8272r4y2/wPnd8GlJ7fAzBtP5fLN0o63ObXSmBu8xvIwZCIS+8iIcaAvYwg3VvkJ7TEmAQXOS8G1Z1MsNDeA9T1VquAQOqouHn/6CQ7prDVJQWMs2csS5Zxa9pobu0fEuxQ89tGreQd12hmb0UJ7huVDZlU/GR/MxuK8xHWSTajCzdNPP40xY8Zg9OjR6Ny5M6ZPn46srCzMmDGDmX7GjBnYv38/Pv74YwwcOBBt2rTBkCFD0KMH22kwLOyXgledY5uu+DqwFV76lWg/t0vfol6t2N4+sjEWKzKA+rJbO4wqfEX/HOwmesHqaP0vdL4YFs/dKADdd15njDvd2jyl77d8lYv24/q10/HU5T3Qr51+byHLL1qDWep3va0d4o15GAUUkWY0NhXrnbGqc4t6WbisNzs8ftV1AhXhQFGcHYr1m5SyTRVVEYqtNAvOcW6iv+8Y0ZGZv9V1on6F8UqvVvZmTLfjLsuhWDsvaIVpxW6m1rZ5RP/c7Soo4+lQED8GpaWlWL58OYYNG1ZdmUgEw4YNw6JFi5jXfPrpp+jfvz/GjRuHvLw8dO3aFVOmTEFFBdvjHwBKSkpQWFio++c3PGYplnAzuEP1CoH+7Rrgz2drBxN59ZOBXae+9OQWsb19vGL+SteXKyKvmDfA5EOk6VMiimHitstX7KFqJyLtSiirsdW4a3xurTTcOaKTZf5u1OBOg5vV/Rsdiu2yMX8dGutgWwUdTsKCE09cFtyHlAKx/ePcPD+r3J0ut3QotvAZkQXvO+xmvLygRzNmpOG8nEx8fedQLL9vGOMq+z5l63PDCLinFQhTObdD0Z7Tb6irHv+vRfk+aG7iidCEm71796KiogJ5eXov+ry8POTn5zOv2bhxI/7973+joqICs2bNwv3334+nnnoKf/nLXyzLmTp1KnJzc2P/WrbkXzLtFrtN5qK/tQPRp+MH4rXRp+AczcqOGaNOwYU9tepi8V70xO+6M4/zbpxph136NIb63u1L4DQZiQygrHrJQLdaymQOcBZ0eTkxr9r5U6u5sRpAnVbaGOtgHefGGlaT6h2K2Xlqn2tKRLHtH8a+Zq4Pf0PGkdbcEUURq6/eodg8ybGwjIHCYVr8vUP4CT++6jPTUjDtip5ox9irSVe2i/HymSt7MTXOEaVqhWqDbHaQVDsBxna1lFZzE4ke0wo3WmGV735YCyVkr5bS5+H0boZH6A7FIlRWVqJx48Z46aWX0Lt3b1xxxRW49957MX36dMtrJk2ahEOHDsX+bdu2zfd61svSO6zq1bNVv7WdIi8nE0M7NkajOhm49cwTcfc5nVArPUUf5trFOHFZH35Bjims2GodrGEtR0yVtNGLySwl0DCiGzS6IRJRTFoJK0Qe6cwbT8UJjbNjf/P43IjuGq//kuTDSbjkGUCrBm5+IVAksKMRr5obO6SbpTieglZwYcU4sT5QhfUOHc4Tq3GPNUD/bPz6qr+oV3NcLjC2AfxCIsvM7dTHbX1u7JzxGfOClVnKdhzRassM5siq+smNc6OFHIoZNGzYECkpKSgoKNAdLygoQJMm7LglTZs2RYcOHZCSUr264qSTTkJ+fj5KS9kRJDMyMpCTk6P75zd1MlPx/k39Y3+zHMf09vHqayee1QE3DWlvOu53FxIdiOxkFZZvi1sVtUjgOSeKLQOWyUOBog9QZzNJ8A4urepnmXxZdJobi+uMG6uyiFgMjLw4+TzxxLmpSsefh8ksZVsD+3It0wl8g0bf1wfOE9tSxQmnx2G3x5auzWxuhUdzwzwPdv+1ipYtG7dmMzc4jTE8AjMrhTbXmM+Npiw3DsXa77domVbClwzBJI5lm/CEm/T0dPTu3Rtz586NHausrMTcuXPRv39/5jUDBw7Er7/+ikrN58aGDRvQtGlTpKeLLe/1EwXAKW2qd/7WCgLZGammY6L7OlnBOyAzzVKCA5Hdi8Ea1GQNdMZidS+zw+3vPlyi+/uqfq3QrmFtnNe9mZS6AfyrVAD+SZmVR4Ns5/7O45+gG2At1OD2sTo4ZkEGxr5q17/Nqm/+a434obm5+5xO+OnB4bb7VRnhWVXCc1t6h2J5X0NmnQIf2onUz6/6IDUGzsKN93yjP63MxPxLwc0bzFrNCzKa0OnDI0xCNUtNnDgRL7/8Mv71r3/h559/xtixY1FUVITRo0cDAK699lpMmjQpln7s2LHYv38/JkyYgA0bNuCzzz7DlClTMG7cuLBugQutNB4VbuyWbUbR7+EhD1Znl2kfZy2ZdS3cCNp87TBqlKZc3A1z/zREt+eUV1IMZinZy/tfuqY3RnZrilvOPDF2zDigTL2kGzrkZWPSuSc55me1uoXbLOVwE1ZnjeYQu1yMXUckQrERvwZfxyi2rnC+M60JXBsviDfeUlTYM4UpsAlhYHVMmx+rDjLp5hDWQGbJThZ1t8ufdT43itkspQ/Ux5enPohfTLphIuN7M54dikPdOPOKK67Anj178MADDyA/Px89e/bE7NmzY07GW7duRUTTs1q2bInPP/8ct99+O7p3747mzZtjwoQJuOuuu8K6BS60L3ntqOZGN3iwewjLEdkvZHbSRgzHu27Nc7Hw173CeRnfS/NqKY2QaHMT7RvV1u30bZUfE4G2qcqvutZ2Aiqv06M21fAuTUzbTRiF1Sv7topFJnbOu7q+rrZfYFyjM8tZLgU35mNdhjEP42Qi4s7lZQNFmfDUgqdr1kpPwZcTByOiKCgorNZMGiMUW5UXFRQjiqILDKnT3DDr4Vw5P13cTm3XAC9e0xvtG9XGsKe/MZ2PO7MUI43TxpnaBRC8Y4X2fXTyueGKUCzx4zJoQt8VfPz48Rg/fjzz3Pz5803H+vfvj8WLF/tcK7lon3+d48INjz+N3iYrrxMxY3sIL0u2PjeEEZDt6ct74G9f/oI/nMo36fKiHQyG25gF3ryhH+oJRia+uFdzfLRyB8YMasdfH8V6KbjpEXI2eVCxJKx2lY4K5Mxr3FmlGLFq7MxS+r/NPjcCZilnN6RA4PnY572rExpXraLT7lytc7mxKSymuTGW7VbRKklzwyOEjuDcU443Pyv8MkvpBUjl+H+rj7kxS7HeRy9B/JxuLY5lm8RaLZUoZBv2ItF20ug+JdoXxlLy96njNKpj1qzI1NxkMfapapyTiamXdEOXZvbqZCNOKl/thJyZloJRA9ow07lZGvr05T2w+qEROKkpvxN6RK+4kbIU3CmZrOCNOrOU5vjTl/fAiY2z8Y/ju9ADVbGMWtXPwtld7ScY3gnOLpnjclOBRxs/mhs5PjdatJoSXrNUtO/Y+4aZT1qbpTR1cBhUrLbscMu1/Vtr/pI3oNl+oMC9HxdTM2/hQ8UTO82YLjp2elkK7oRJqxon7xcQB5qbZOLxS7vj/eXbcNuwDrrj2g6XzRRunPPmGug4+9Udwzti9+ESNMxOxztLtpnqk0jwvqBuXmRFUWI+Utz1iehXS0lZCu7jo9F/KbLTnNC4DuZMHKI79tTlPaCq1nvqsPLXYdS+CAiBXiIUu/3Klo1dPU5tVx+LN+7H709phTcXb+XO03Jlms01ubWqfIW05snqv2N/cKOd3Jz8sRpkZ2DzvqPMcyICVRRWAD4ZOJlr3X5c6E3WVb8rLT6M7Grg5Jvpp0NxPEPCjUQuP6UlLmcEttJ+wcQcirUStlXnY3R+GdSrnY6Xr+2Deet3x4Qb0Y5uVWdW7AsvOI0bvMuXgzLt2DlmmtPKqZOX+Vrbr1IifEtPY2k46s9vlrLGcSm4QDvK2PumblYaDh4t85SHXTXeuuFUHDxaahk0Lop55SDflz5Qtc/apHM6xWInmfst+7p6WWk4cLQMnZqwdxPXr5ayrYLtM2cuerBI++b1/bCvqASZadUO1fHmc8PO1/w7M636HUx34VBs3HZD+19z+ckt3ZBwEwDaTtymQVVkzZxaqRjasRHKK1SmAy7gv0OxNktWRxct8scHhiM3S+6qEUeHNk6VTFDvcURRuCdQ3ir5WXVLzY2HQq321tKlMfzNq3YHxDU3Nw5uh5e+2Xj8WofEHHxx22D0nTLXOaEt1hVJiSiOgg3AihVk7aNhFADP794MozUO9vZmqWq+v2cYyioqmaZnU53cavUs07MvOO3Eqm1rvlhTHdnemNLPfffc9qmdh4pjv48ej8FVNysdj1zUFekpCuasrd5AmleA12+/cPy/mpu/rHcLvL98O3eeoh8DtBS8hhFRFHz1pyGYdeugmFOroih4bXRfvHlDP+vVUtrffgg3upVG5vOi/VS2YMMD79dHUF8pdpokt9o3p0GojqDpTJe35rfbvbfcYBJQRHxuTJob+7ImnVO9n5YMzU3jnEx0zGNrLnjxYxKw09wY79v4qE0+OroPq+o/0lMjtg7m2nKcersCBed243cKDkvP4Byh2N3DrF+7erw8UFTtDH7Nqa1xxSnuFl5oa1q9Wqr62P+dVi3QxvMybhmQcBMAEUVBu0bZ6NzM/+jIIjhpbuIBJwc14yBtdRtBvciKwj9xeXUofnX0KeiQl41XR5/ClxGzDpqJSxcR1T2NNQ7rvBGKxYQb/pVWVXmL+bfx0DjHWbNihx8fuFaxs1j90bT/neG8W5Op6Dz/jytPxrw7hlqaufR1cjqvMH97xWls5BGYWSluOK16FeahY97MnFG0H6nVG2dqBE6dKSw+x3xZkFkqjtE7lIl1RO0+RNb5s8uqLjN8ZMVZkOmzZEeKwaHYDq91Or1jY5zesbGnPLQ1yEiTE8zwol7NsWrHIfRrW9/yDhsazC684eUBVuwj/rrJilD8yIVdcfU/v8eYQW2dEzOQoUEyohdY9OYJp60/TH9b/HZCtH1TIgraNrTfBLO6Hg5CrM257g5B/+xw9LlxGV5AG5rCqw9XFJbPzbndmuLNxVvRvG4t3wLDxsr0IU+3kHATAG73jBTtfNqO9dHNAzjyZ3/pcZUVUC+WJtwEpKOs8rmxqoThT24nQU9Vcsi8+mdGqtaB0X2hKREFD15Qtc/Skk37mWmGd87DjYPboUeLusfLM6e55tTWyKmVavKrEjVL+UGbhrXx7d1nuL5e9PXhCbCoNYk6JTeaT82aG/ZvJwRcbsRx1NyYk35+22DMX78bowa2cV2sU1vKEJjZmhvxfPW7wVcxoH1DfH7bYLSoVws7Dx6rTpvkdikSbgLArfrPy+BQhyMcfDKoKM3qdfZ9BHV/snYB11/nX911mptUOWYpXf5WZsKIgns020Owns8jF3VlXms0VWr3cXPCz13BWViVJloNLuFGYG8wU3ZGwdtlDxC5L9GYKG5q1LFJHXTkMHnZISOIn1O7FHowS7GEOmOh0Tbwe5FKPEE+NwEQj5NaVf7VJKoQbzfwNMvNjP0O6vYUReEetONBc2N0FpWev/Qc9RPF3ed0EnKE9jtCMe+zEjVL8YQ8iFj43ADOz8HWoVjgKeodioMdVPyauJ00HDJMjOyNcMVvgqW5scpTxvYL8QwJNwEQt1oRB58bO4IzSzlEKLap9rNXn6xJF5TmxsYsZSDowZ9ZB51ZSn6cED+aXSSWivla/cN5/uqTcXGv5rp9fLxgfPZWfUH09TFu+srCKsI0qzwnvyXF5pwdIvclOuY4OhTD+v694KdZ6qObB2DQiQ0x/ZrejLMuzFIOM7peWy+cvSPxJAyRWSoAXNs2Bb9EMgUdQhVBKT4MHIP4Gc1SFrcR1O2JrKaOhybXmaU0AcTKK2SNUnw3Kfb1W522q+h2Hoa/z+3WFOd2a4o5awtQVlEulJcnBJuXvUGpakhT/VtYcBCrjiUiE73osOj4MeDT++S8FNx93r1a1cMb1/dzn4EBbRuxHoUuFpIPDVZWESebt4E0N4Hg2iwleOENg9qiR8u6uG/kSc6J4U2KjxcB3U5w1L7cQQkSItsI8FbJz+jK2ry1Pjcl5RWS8udLJ9KfKlVgzu2D8fzVJ2PACQ2F6mMlRMlaveTH/QIuNDeGsoxXO0Z5tvLjcEDknbMSGi45uTnzuMhrIHPidvrwqy+4IS8/9uV2yKtaEXtBz2axY/rd4O2jPPsxrBwtDfADwQESbgLAtUOxYPqczDR8Mm4gbuDcxVrvcxMHagQGslZLBWuW4vW54auTnzXX5q2Nc1NSLucLzB+fGxUn5tXBud2aCl9r9ZVtMtv4LL3zajhOaVMPAHAFY1sXI6zotOY/oof0B/sed8qObg/jdm8pMc0NO+PHLunObH+navj1nli9ptP/cDIGndhQ5xgvF/u2fP+PA/DqqFNwo2a812rvWW2YqjG/8u0KLvYilEnT+HqHzFIB4HZe9Xs/JH3QK8FrJdfFLbx7S8XDaikj8dCGVrGOpAk3nO0uIkx4MQNYTb6yhBkFfFoZ3vJmjDoFyzYfiG0xYIdWiymqiXrs0m7okJeNi09uAcD9mCXD58bKsd15k1aX6iYHrMaYs7s2xdld+QRsP3bLzs1Kw+mdquJc3Ty0PbYfOKaL58MqsUHt6vhSx+JIy+IHJNwEgAwhxY+J0MtScOOLM2NUH+8VYpbj4FBsq3vkDwUvC7sgfkZVeTyslrJqGVm2c96qiwz+XkxI1g6+ciYf3lx4y6uTWT2BOaE1XWlXhalQzQ7GhuLrZqVj4vCOsb915gvXq6XssQ2bwDgnormR+crEq1Zby5/P7mQ6xurrtdKrNTt7j5SaEyQRZJYKAAn+xL4Q8SDc9GldL/b77C5NcEanPFnV0iFqlkq1WPUSpM+NVZ1Nbg28Zikf626Vd6k0zY35GNNHQSQ+igc5xNrnxn2e8YL2XTBqqETvz23fFCnHbsxh5iOiFZX40iRrsLs9R0rCroKvkHATAGEE8eMsIfaL9f6yBoiV95+FLycOQRtNyHQ/VK68GJ0S/zi4Pdo2rI3bh3XQHffbxBfFj3HQzyXjtSxW2MnzuTHX/fPbBnvK00tvswyq5yFPLeOGngAAuLgX2yk2Vp4Pr4ylz40L9A7J1rkZn66/q6UczmsSNPDNydcZ1lAThvDsNC7v81G4sRpXgoSEmwBw7XPjdxA/C3+LKKyv3Hq107n2rZKF05hgHCDr107HvDuGYsKwE0MZUFIEgvjFA89ffTJa1KuFf1zZS3ec15fJCWM2Qzo0QqM65k0nxVZLuW9fvyMUTzyrAz4dPxCP/667bTpfhBtdVGJ9WU5xb4y49rnRZHzmSVXa3HpZ7Gjp4nFu7NNry2b1saBIc7vfjmwsHvKlx/2qxh4XxG2zcNlPa2eEL9yQz00AuNUa+K1s0K+W8rcsv4g3e7gfGiI/b7Fr81wsvKt6j6S7zu6Ez9fk48p+raTkbzbFsdOJCB1eBAPLCMWShI1IREH34/tl2SFDADa2g5VDMau9nNqQ98NKURRdZtpsOzfLwbw7hup2idciKkA7JT9wtNqHJEzNTVqKglI5kRR84cnLuuPuczr5KgBmpYcvWsSJiJncyBAc/JjgtBMxy64clCnHDqdBmGfPnSCJKNZ1dlvTIO9w7ND2+HjcwNiSYK+YnKgl5OlF+2JtlgpW2+a3VtE5e0fphiup8Xkatb1tG9ZGbU1f0sbgsnt33TgU7zlcbWZJFYmmKRlW2WEMpZYLGxSFW7AR7aZRd4C/WOwLFyQk3ARAfE2/1cjS3Pg5UDtvv2Bd8Rb1smRXx5GIYr1ayjVxIGS6hX+vJf48PfncxIlDsd/FGQVAURO3DLMUC20MLrsymHFuHCp18vFFDr464HO0I2uvs1B8bkIodMKwE7H24REY3KFR4GUbCV93VAOIV4diJ5+bRMBuJUOT3Ey8f1N/1Mn0v5vXzUrDwaNlOLl1Pcxdt9sxffO6tXyvUzzgS7dyMWb/cXA7vPjNRkzyLeCaGH5PPDqfm+P/c43AM5QRxM9tNU5uVQ8fjO2PlvWD/6jRImufMq+0bRicb6SWeDBJASTcBIL7CMU+OxQn6N5SubXScOhYGQDnAe+U45FX/WbxpDNxrLQC9Wxs/VoBcv6dQ7nzjs8nwwdvHxaZet1M1JPOPQm3nHmipbnNFKFYuAQxgtbcmMoXsErZmqUEHZW1CK+W4kjfu3Uw77sdIrvU+8H7N/XHot/24fI+LTznFYb2RxZklvKRq447Zd521okh14SN3zvE+sXcPw2J/Y4XmSwzLUUj2LAHBG1Vwx4AgWDajrcMkS9+txGK7fyIgh7Effe5Ma6WEjZLuescsuLcsAn/ZbcTrM/p2gQAcNOQ9ubrAuxep7Spj1vPPDFUv6N4gDQ3PvLoRV1x9zmdkJPJXgrphP7d9/fFjlvNDWNU0C61jNd6y8QvwTOIluMtQxsX484RHTG0o7XN3g9BxK+556SmdbB1/1Ff8rb1WXG4IyHNjW06BdrWExFSxZeCCyUPnGeu7IVNe4twYuNs3PPRqrCrU+Mh4cZHFEVxLdgA/k8+ep8b9/n4+VHCyls7cMfjeCd77vXLHyoIPytes0XfNvVxUc9mOKFxNsadbh9/w8veUlb49WU95eJuaJKTics5Nr4Uxa7O+u0XGNc6vLXa52ab0vh8hTQ3/GkZRcUdaSkRdMirE3Y1iOOQcBPH+L5xZgL43JzRsTE+XLlD54CrHUDj0RE6UczUwbQcXymRiIJpv+/lnDDBaJCdgYcuDH5ZrNGpVnxjXJdmKYFPHd4xp2fLuvhh20Fc2tu7DwlRcyDhpgbjZePMoHj4oq7o3iJXt/uuVvUdj75ClgO860jV/hBPPjcEP5f0ao4PV+7ArWeaffnevfFUbNxThL5t9Y61RoHb0SzF+dzMcW74rgP492x6/fq+WLppPwadGP7y4ppGgnynMSHhJo6JKECLerVQeKwMrRvIX96YCA7F2RmpGDWwre5YZZxrbmTj1y36vRqvqgxCNk9e1gN3nt0RTXPN4QRObdcAp7ZroDuWkerNsdROYDH2TT/2lsrJTItt5UAQvJBwE8coioL5dwxFperP6hrt5OZFSAjaDNOgdjraNarauLNuLfc+TX4h3efGLxEhAMmjTYPa6N4iFz9tP+R/YTWESERhCjZG/nJRV/zru82459yTsGlvkVAZbocDEX+oeNUWE8lBzV4rlgCkpkSQ7vHLywonzU28Dj2RiII5tw/BnNuHcKu2g8Qy7HmgtXAmiPpEIgo+GTcw9nei+CMlA384tTXmTByCZoyAkW0a1ra9lntvKZNHMXf14lZb7Ac3DGrrnCgeSeD3lTQ3NRj99gvmkYa3X4fxARZve0ppsdxbyv328FKJRlM2+mX4RUKaDhN4UHfixsHtcP1p9pMtt8+NSbaRsxQ82Zp/1IA26Ne2AX7afhB3f5g4y8Qz08Lf3dstpLmpwchyKKav8cTi45sHYuzQ9vjbFT3DrgoRENq3+55zT5I2aXlyKNaMOdf0bw0AGNC+gVXyhEZRFHRulhMXwTt5ePaqXjihcTam/b5n2FVxDWluajDaLyc3u/ASbGTvMC37ObRpWBt3nd1Jcq7+M2NUH9zz4Wo8fXmPsKviC52a1MG9I+Nj7yu3fc6tQ/FVfVuhR4u6OKFxtqfyCTmc170ZzuveLOxqeIKEmxqMzizlwczTt20975UhLElEq44fnNEpD4vvSd5VM7NvGxx2FWJoP3zshHWjaUnIoTii/bhS0LV5rqbM5ETkXSaNuDdIuKnBaAcmrWxzSpt6WLr5AH7ft5Xt9fPvGIpFG/fhdxRcS4+lz4277IJYsk0YqOFNzr/9gh6R+TiZhfZGdTKw53CJ6Xi9LOuNdQm5kHBTg7FyKH79//ph7a5D6NXSXiPTpmFtx1UXNRH64CISHdeCh4C6ISWJpZvX/68vJn+6BneO6Kg7PqRDI4wa0AZdmuU45pHEzRMIJNzUYKz2lqqVnoLerYNZSUM4Q4McETTcK9xMQfycL+nbpj6WbN6f1NspnNQ0B+/9sb/peCSi4MELunDlQWYpb5BwU4NJhL2lEhGrXavdtjA9GsIzXjbGtYtQbPj77K5NsGrHIbSsbx1k8J0bT8Xh4jLUtTHRxEuXt7sPIr4h4YYAQMJNELiN95JMPjf0MRoOQb3fNw5uh/aNsnFKG2uTdkpEsRVsgPjpJ7MnhOfkTUOyN0i4qcFoV0HEcUy8hCNeBmbCA0n2EPu0roeTW9VF24bZUvOtm5WOwuLy2N9pKRGc3bWJ1DLColluJmpn6KfIID80yCzljcSIKET4gvblScgosnGK1aDUuamzEyELejSEV1JTIvjw5oF4ykWMILs59sVreqNz0xzMGNXHfeXiFBoTExsSbmow2kGLNDfysJoMnr6iB/5waiv8b8IgrnxGDWgDAJh4Vgc5FSMIyZzUNAezJgzCGZ2SN/6QlrvPqQp+GX03ifiFzFI1GK3jK/ncyKNvm3r4z487Tccb18nEXy7qxp3Pgxd0wV1nd0Kt9MTd38WIlbN1vHHDoLZ4fv5vOLdbcphYvEAjQzXndmuKFfefhXpZaWFXhXCAhJsajF5zQ0OYLK7s2woZaSno28b7cvpkEmwSiYlndcAZnRqjW4tc58RJTmKIo8FRv3bNDsR3UtMcbD9wLOxqOELCTQ1G73MTXj2SjdSUCC7v0zLsahAeSE2JoI8E4ZQgko2pl3RD09xMXHFKfI9xJNzUaKqlGxJuCIIgCCcaZmfg4Qu7hl0NR8ihuAaj1dyQWYogCBaJ4iclGxoSExsSbggAJNwQBEFooSExsSHhpgZDS8EJgiCIZIR8bmow7RrWRrtGtVG3VhoFrCIIgkkYRqkaagkjJELCTQ0mNSWCObcPIa0NQRAEkVSQcFPDSSHJhiCIOCMeFMmNsjNCLT8thbxGvECtRxAEQcQVYZqlXv+/vhjQvgGmXdErvEoAuHfkSWjdIAsPXdAl1HokKqS5IQiCIEx0bpqDDQWHcUoNC2Y4uEMjDO7QKOxqoGX9LHx95+lhVyNhIeGGIAgiYBpmp2PvkdKwq2HLf285DaUVlchMoy1AiMSDzFIEQRABM/OP/XFl35b4YOwAtGtUG/ec2ynsKpmIRBQSbIiEhTQ3BEEEBi3xraJ9o2xMvaQ7AOCrPw0NtzIEkYSQ5oYgiBrPa6NPQV5OBl7/v75hV4UgCAnEhXDz3HPPoU2bNsjMzES/fv2wZMkSy7SvvfYaFEXR/cvMzAywtgRBJBtDOzbG9/cMiwtHUoIgvBO6cDNz5kxMnDgRkydPxooVK9CjRw+MGDECu3fvtrwmJycHu3btiv3bsmVLgDUmCMIt7RvVDrsKBEHUAEIXbp5++mmMGTMGo0ePRufOnTF9+nRkZWVhxowZltcoioImTZrE/uXl5QVYY4IgRPlgbH+MGtAGd4zoGHZVCIKoAYQq3JSWlmL58uUYNmxY7FgkEsGwYcOwaNEiy+uOHDmC1q1bo2XLlrjwwguxZs0ay7QlJSUoLCzU/SMIIlh6t66PBy/ogjqZaWFXhSCIGkCows3evXtRUVFh0rzk5eUhPz+feU3Hjh0xY8YMfPLJJ3jzzTdRWVmJAQMGYPv27cz0U6dORW5ubuxfy5Ytpd8HQRAEQRDxQ+hmKVH69++Pa6+9Fj179sSQIUPw4YcfolGjRnjxxReZ6SdNmoRDhw7F/m3bti3gGhMEQRAiZKQl3NRExBmhxrlp2LAhUlJSUFBQoDteUFCAJk2acOWRlpaGXr164ddff2Wez8jIQEZGuBugEQRBEPxMOqcTft5ZiFED24RdFSJBCVU8Tk9PR+/evTF37tzYscrKSsydOxf9+/fnyqOiogKrVq1C06ZN/aomQRAEESAt6mXhqzuG4tr+bcKuCpGghB6heOLEibjuuuvQp08f9O3bF9OmTUNRURFGjx4NALj22mvRvHlzTJ06FQDw8MMP49RTT8UJJ5yAgwcP4oknnsCWLVtwww03hHkbBEEQBEHECaELN1dccQX27NmDBx54APn5+ejZsydmz54dczLeunUrIpFqBdOBAwcwZswY5Ofno169eujduze+++47dO7cOaxbIAiCIAgijlBUtWbt9lJYWIjc3FwcOnQIOTk5YVeHIAiCIAgOROZvckknCIIgCCKpIOGGIAiCIIikgoQbgiAIgiCSChJuCIIgCIJIKki4IQiCIAgiqSDhhiAIgiCIpIKEG4IgCIIgkgoSbgiCIAiCSCpIuCEIgiAIIqkg4YYgCIIgiKSChBuCIAiCIJKK0DfODJroVlqFhYUh14QgCIIgCF6i8zbPlpg1Trg5fPgwAKBly5Yh14QgCIIgCFEOHz6M3Nxc2zQ1blfwyspK7Ny5E3Xq1IGiKFLzLiwsRMuWLbFt2zbacdxHqJ2Dgdo5OKitg4HaORj8amdVVXH48GE0a9YMkYi9V02N09xEIhG0aNHC1zJycnLoxQkAaudgoHYODmrrYKB2DgY/2tlJYxOFHIoJgiAIgkgqSLghCIIgCCKpIOFGIhkZGZg8eTIyMjLCrkpSQ+0cDNTOwUFtHQzUzsEQD+1c4xyKCYIgCIJIbkhzQxAEQRBEUkHCDUEQBEEQSQUJNwRBEARBJBUk3BAEQRAEkVSQcCOJ5557Dm3atEFmZib69euHJUuWhF2lhGLq1Kk45ZRTUKdOHTRu3BgXXXQR1q9fr0tTXFyMcePGoUGDBsjOzsall16KgoICXZqtW7di5MiRyMrKQuPGjXHnnXeivLw8yFtJKB577DEoioLbbrstdozaWQ47duzAH/7wBzRo0AC1atVCt27dsGzZsth5VVXxwAMPoGnTpqhVqxaGDRuGX375RZfH/v37cfXVVyMnJwd169bF9ddfjyNHjgR9K3FNRUUF7r//frRt2xa1atVC+/bt8cgjj+j2H6K2Fuebb77B+eefj2bNmkFRFHz88ce687La9KeffsKgQYOQmZmJli1b4vHHH5dzAyrhmXfffVdNT09XZ8yYoa5Zs0YdM2aMWrduXbWgoCDsqiUMI0aMUF999VV19erV6g8//KCee+65aqtWrdQjR47E0tx0001qy5Yt1blz56rLli1TTz31VHXAgAGx8+Xl5WrXrl3VYcOGqStXrlRnzZqlNmzYUJ00aVIYtxT3LFmyRG3Tpo3avXt3dcKECbHj1M7e2b9/v9q6dWt11KhR6vfff69u3LhR/fzzz9Vff/01luaxxx5Tc3Nz1Y8//lj98ccf1QsuuEBt27ateuzYsVias88+W+3Ro4e6ePFidcGCBeoJJ5ygXnnllWHcUtzy6KOPqg0aNFD/+9//qps2bVLff/99NTs7W/373/8eS0NtLc6sWbPUe++9V/3www9VAOpHH32kOy+jTQ8dOqTm5eWpV199tbp69Wr1nXfeUWvVqqW++OKLnutPwo0E+vbtq44bNy72d0VFhdqsWTN16tSpIdYqsdm9e7cKQP36669VVVXVgwcPqmlpaer7778fS/Pzzz+rANRFixapqlr1MkYiETU/Pz+W5oUXXlBzcnLUkpKSYG8gzjl8+LB64oknqnPmzFGHDBkSE26oneVw1113qaeddprl+crKSrVJkybqE088ETt28OBBNSMjQ33nnXdUVVXVtWvXqgDUpUuXxtL873//UxVFUXfs2OFf5ROMkSNHqv/3f/+nO3bJJZeoV199taqq1NYyMAo3str0+eefV+vVq6cbN+666y61Y8eOnutMZimPlJaWYvny5Rg2bFjsWCQSwbBhw7Bo0aIQa5bYHDp0CABQv359AMDy5ctRVlama+dOnTqhVatWsXZetGgRunXrhry8vFiaESNGoLCwEGvWrAmw9vHPuHHjMHLkSF17AtTOsvj000/Rp08fXHbZZWjcuDF69eqFl19+OXZ+06ZNyM/P17Vzbm4u+vXrp2vnunXrok+fPrE0w4YNQyQSwffffx/czcQ5AwYMwNy5c7FhwwYAwI8//oiFCxfinHPOAUBt7Qey2nTRokUYPHgw0tPTY2lGjBiB9evX48CBA57qWOM2zpTN3r17UVFRoRvoASAvLw/r1q0LqVaJTWVlJW677TYMHDgQXbt2BQDk5+cjPT0ddevW1aXNy8tDfn5+LA3rOUTPEVW8++67WLFiBZYuXWo6R+0sh40bN+KFF17AxIkTcc8992Dp0qW49dZbkZ6ejuuuuy7WTqx21LZz48aNdedTU1NRv359amcNd999NwoLC9GpUyekpKSgoqICjz76KK6++moAoLb2AVltmp+fj7Zt25ryiJ6rV6+e6zqScEPEHePGjcPq1auxcOHCsKuSdGzbtg0TJkzAnDlzkJmZGXZ1kpbKykr06dMHU6ZMAQD06tULq1evxvTp03HdddeFXLvk4r333sNbb72Ft99+G126dMEPP/yA2267Dc2aNaO2rsGQWcojDRs2REpKimk1SUFBAZo0aRJSrRKX8ePH47///S/mzZuHFi1axI43adIEpaWlOHjwoC69tp2bNGnCfA7Rc0SV2Wn37t04+eSTkZqaitTUVHz99dd45plnkJqairy8PGpnCTRt2hSdO3fWHTvppJOwdetWANXtZDduNGnSBLt379adLy8vx/79+6mdNdx55524++678fvf/x7dunXDNddcg9tvvx1Tp04FQG3tB7La1M+xhIQbj6Snp6N3796YO3du7FhlZSXmzp2L/v37h1izxEJVVYwfPx4fffQRvvrqK5Oqsnfv3khLS9O18/r167F169ZYO/fv3x+rVq3SvVBz5sxBTk6OaaKpqZx55plYtWoVfvjhh9i/Pn364Oqrr479pnb2zsCBA02hDDZs2IDWrVsDANq2bYsmTZro2rmwsBDff/+9rp0PHjyI5cuXx9J89dVXqKysRL9+/QK4i8Tg6NGjiET0U1lKSgoqKysBUFv7gaw27d+/P7755huUlZXF0syZMwcdO3b0ZJICQEvBZfDuu++qGRkZ6muvvaauXbtWvfHGG9W6devqVpMQ9owdO1bNzc1V58+fr+7atSv27+jRo7E0N910k9qqVSv1q6++UpctW6b2799f7d+/f+x8dIny8OHD1R9++EGdPXu22qhRI1qi7IB2tZSqUjvLYMmSJWpqaqr66KOPqr/88ov61ltvqVlZWeqbb74ZS/PYY4+pdevWVT/55BP1p59+Ui+88ELmUtpevXqp33//vbpw4UL1xBNPrNHLk1lcd911avPmzWNLwT/88EO1YcOG6p///OdYGmprcQ4fPqyuXLlSXblypQpAffrpp9WVK1eqW7ZsUVVVTpsePHhQzcvLU6+55hp19erV6rvvvqtmZWXRUvB44h//+IfaqlUrNT09Xe3bt6+6ePHisKuUUABg/nv11VdjaY4dO6befPPNar169dSsrCz14osvVnft2qXLZ/Pmzeo555yj1qpVS23YsKH6pz/9SS0rKwv4bhILo3BD7SyH//znP2rXrl3VjIwMtVOnTupLL72kO19ZWanef//9al5enpqRkaGeeeaZ6vr163Vp9u3bp1555ZVqdna2mpOTo44ePVo9fPhwkLcR9xQWFqoTJkxQW7VqpWZmZqrt2rVT7733Xt3yYmprcebNm8cck6+77jpVVeW16Y8//qiedtppakZGhtq8eXP1sccek1J/RVU1YRwJgiAIgiASHPK5IQiCIAgiqSDhhiAIgiCIpIKEG4IgCIIgkgoSbgiCIAiCSCpIuCEIgiAIIqkg4YYgCIIgiKSChBuCIAiCIJIKEm4IgkgoRo0ahYsuuijsahAEEcfQruAEQcQNiqLYnp88eTL+/ve/g2KPEgRhBwk3BEHEDbt27Yr9njlzJh544AHdBpTZ2dnIzs4Oo2oEQSQQZJYiCCJuaNKkSexfbm4uFEXRHcvOzjaZpYYOHYpbbrkFt912G+rVq4e8vDy8/PLLKCoqwujRo1GnTh2ccMIJ+N///qcra/Xq1TjnnHOQnZ2NvLw8XHPNNdi7d2/Ad0wQhB+QcEMQRMLzr3/9Cw0bNsSSJUtwyy23YOzYsbjsssswYMAArFixAsOHD8c111yDo0ePAgAOHjyIM844A7169cKyZcswe/ZsFBQU4PLLLw/5TgiCkAEJNwRBJDw9evTAfffdhxNPPBGTJk1CZmYmGjZsiDFjxuDEE0/EAw88gH379uGnn34CADz77LPo1asXpkyZgk6dOqFXr16YMWMG5s2bhw0bNoR8NwRBeIV8bgiCSHi6d+8e+52SkoIGDRqgW7dusWN5eXkAgN27dwMAfvzxR8ybN4/pv/Pbb7+hQ4cOPteYIAg/IeGGIIiEJy0tTfe3oii6Y9FVWJWVlQCAI0eO4Pzzz8df//pXU15Nmzb1saYEQQQBCTcEQdQ4Tj75ZHzwwQdo06YNUlNpGCSIZIN8bgiCqHGMGzcO+/fvx5VXXomlS5fit99+w+eff47Ro0ejoqIi7OoRBOEREm4IgqhxNGvWDN9++y0qKiowfPhwdOvWDbfddhvq1q2LSISGRYJIdBSVQn0SBEEQBJFE0CcKQRAEQRBJBQk3BEEQBEEkFSTcEARBEASRVJBwQxAEQRBEUkHCDUEQBEEQSQUJNwRBEARBJBUk3BAEQRAEkVSQcEMQBEEQRFJBwg1BEARBEEkFCTcEQRAEQSQVJNwQBEEQBJFUkHBDEARBEERS8f9cptRvEac8SAAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -889,23 +899,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "id": "8bef255c",
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "DatetimeIndex(['2022-01-03 18:00:00', '2022-01-06 10:00:00',\n",
-       "               '2022-01-09 05:00:00', '2022-01-11 03:00:00',\n",
-       "               '2022-01-28 16:00:00', '2022-02-08 07:00:00',\n",
-       "               '2022-02-09 20:00:00'],\n",
+       "DatetimeIndex(['2022-01-09 21:00:00', '2022-01-15 23:00:00',\n",
+       "               '2022-01-18 19:00:00'],\n",
        "              dtype='datetime64[ns]', freq=None)"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -929,7 +935,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "id": "28b46e3a",
    "metadata": {},
    "outputs": [],
@@ -950,7 +956,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "id": "5fa9c6ca",
    "metadata": {},
    "outputs": [
@@ -958,7 +964,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Validating Batch Data is 3.770749 s\n"
+      "Execution time for Validating Batch Data is 2.233256 s\n"
      ]
     }
    ],
@@ -971,7 +977,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "id": "3337a5cb",
    "metadata": {},
    "outputs": [
@@ -979,7 +985,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Batch Calculation using Newton-Raphson is 4.393309 s\n"
+      "Execution time for Batch Calculation using Newton-Raphson is 2.829016 s\n"
      ]
     }
    ],
@@ -991,7 +997,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "id": "f7ba9924",
    "metadata": {},
    "outputs": [
@@ -999,7 +1005,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Batch Calculation using linear calculation is 2.711576 s\n"
+      "Execution time for Batch Calculation using linear calculation is 1.757972 s\n"
      ]
     }
    ],
@@ -1021,7 +1027,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "id": "9f1a3d88",
    "metadata": {},
    "outputs": [
@@ -1029,11 +1035,35 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Sequential is 4.250867 s\n",
-      "Execution time for Single thread is 4.385878 s\n",
-      "Execution time for Two threads in parallel is 2.271115 s\n",
-      "Execution time for Four threads in parallel is 1.146302 s\n",
-      "Execution time for Use number of threads based the machine hardware is 0.559351 s\n"
+      "Execution time for Sequential is 2.820270 s\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Execution time for Single thread is 2.799965 s\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Execution time for Two threads in parallel is 1.377237 s\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Execution time for Four threads in parallel is 0.731595 s\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Execution time for Use number of threads based the machine hardware is 0.545823 s\n"
      ]
     }
    ],
@@ -1061,27 +1091,8 @@
   }
  ],
  "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
   "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.2"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "f2534ebf7a1a13ecc51c3a04ce741b49cf1feb97b5ca55170ed7b2036b4058c0"
-   }
+   "name": "python"
   }
  },
  "nbformat": 4,
diff --git a/power-flow-assignment/Power Flow Assignment.ipynb b/power-flow-assignment/Power Flow Assignment.ipynb
index 9ce1f61..dfc1ed4 100644
--- a/power-flow-assignment/Power Flow Assignment.ipynb	
+++ b/power-flow-assignment/Power Flow Assignment.ipynb	
@@ -64,6 +64,16 @@
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "42c08459",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.random.seed(0) # For reproducibility"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
diff --git a/state-estimation-assignment/State Estimation Assignment with Solutions.ipynb b/state-estimation-assignment/State Estimation Assignment with Solutions.ipynb
index a86957b..3bc9399 100644
--- a/state-estimation-assignment/State Estimation Assignment with Solutions.ipynb	
+++ b/state-estimation-assignment/State Estimation Assignment with Solutions.ipynb	
@@ -69,6 +69,16 @@
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "22870481",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.random.seed(0) # For reproducibility"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -1469,7 +1479,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "power-grid-model-workshop",
    "language": "python",
    "name": "python3"
   },
@@ -1483,7 +1493,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.2"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/state-estimation-assignment/State Estimation Assignment.ipynb b/state-estimation-assignment/State Estimation Assignment.ipynb
index 950e6dd..eb7c4d4 100644
--- a/state-estimation-assignment/State Estimation Assignment.ipynb	
+++ b/state-estimation-assignment/State Estimation Assignment.ipynb	
@@ -69,6 +69,16 @@
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e3026fb1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.random.seed(0) # For reproducibility"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
diff --git a/uv.lock b/uv.lock
index a943bc6..ada9b96 100644
--- a/uv.lock
+++ b/uv.lock
@@ -6,27 +6,17 @@ resolution-markers = [
     "python_full_version < '3.14'",
 ]
 
-[[package]]
-name = "alabaster"
-version = "1.0.0"
-source = { registry = "https://pypi.org/simple" }
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