diff --git a/docs/PopSyCLE_example_synthpop.ipynb b/docs/PopSyCLE_example_synthpop.ipynb
index 2a28df7..ac57d6c 100755
--- a/docs/PopSyCLE_example_synthpop.ipynb
+++ b/docs/PopSyCLE_example_synthpop.ipynb
@@ -50,18 +50,18 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 10383 - Execution Date: 09-09-2025 14:27:41\n",
+      " 13520 - Execution Date: 30-09-2025 10:13:00\n",
       "\n",
       "\n",
       "################################ Settings #################################\n",
-      " 10386 - # reading default parameters from\n",
-      " 10388 - default_config_file =  /u/mhuston/code/synthpop/synthpop/config_files/_default.synthpop_conf \n",
-      " 10393 - # read configuration from \n",
-      " 10395 - config_file = '/u/mhuston/code/synthpop/synthpop/config_files/huston2025_defaults.synthpop_conf' \n",
+      " 13565 - # reading default parameters from\n",
+      " 13567 - default_config_file =  /u/mhuston/code/synthpop/synthpop/config_files/_default.synthpop_conf \n",
+      " 13699 - # read configuration from \n",
+      " 13700 - config_file = '/u/mhuston/code/synthpop/synthpop/config_files/huston2025_defaults.synthpop_conf' \n",
       "\n",
       "\n",
       "# copy the following to a config file to redo this model generation -------\n",
-      " 10398 - {\n",
+      " 13725 - {\n",
       "    \"l_set\": null,\n",
       "    \"l_set_type\": null,\n",
       "    \"b_set\": null,\n",
@@ -70,7 +70,7 @@
       "    \"model_name\": \"Huston2025\",\n",
       "    \"solid_angle\": null,\n",
       "    \"solid_angle_unit\": \"deg^2\",\n",
-      "    \"random_seed\": 1993927877,\n",
+      "    \"random_seed\": 1057816395,\n",
       "    \"sun\": {\n",
       "        \"x\": -8.178,\n",
       "        \"y\": 0.0,\n",
@@ -183,67 +183,67 @@
       "    \"output_file_type\": \"csv\",\n",
       "    \"overwrite\": true\n",
       "}\n",
-      " 10400 - Location or solid_angle_sr are not  defined in the settings! Can not run main() or process_all()\n",
+      " 13727 - Location or solid_angle_sr are not  defined in the settings! Can not run main() or process_all()\n",
       "\n",
       "\n",
       "########################## initialize population ##########################\n",
-      " 10419 - read Population files from Huston2025\n",
+      " 13810 - read Population files from Huston2025\n",
       "\n",
       "\n",
       "# Population 0;  bulge ----------------------------------------------------\n",
-      " 10434 - # Initialize Population 0 (bulge) from \n",
-      " 10435 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/bulge.popjson'\n",
+      " 13824 - # Initialize Population 0 (bulge) from \n",
+      " 13825 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/bulge.popjson'\n",
       "\n",
       "\n",
       "# Population 1;  halo -----------------------------------------------------\n",
-      " 22311 - # Initialize Population 1 (halo) from \n",
-      " 22314 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/halo.popjson'\n",
+      " 29135 - # Initialize Population 1 (halo) from \n",
+      " 29137 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/halo.popjson'\n",
       "\n",
       "\n",
       "# Population 2;  nsd ------------------------------------------------------\n",
-      " 23712 - # Initialize Population 2 (nsd) from \n",
-      " 23713 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/nsd.popjson'\n",
+      " 30512 - # Initialize Population 2 (nsd) from \n",
+      " 30514 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/nsd.popjson'\n",
       "\n",
       "\n",
       "# Population 3;  thick_disk -----------------------------------------------\n",
-      " 25857 - # Initialize Population 3 (thick_disk) from \n",
-      " 25859 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thick_disk.popjson'\n",
+      " 32837 - # Initialize Population 3 (thick_disk) from \n",
+      " 32839 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thick_disk.popjson'\n",
       "\n",
       "\n",
       "# Population 4;  thin_disk_1 ----------------------------------------------\n",
-      " 27188 - # Initialize Population 4 (thin_disk_1) from \n",
-      " 27190 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_1.popjson'\n",
+      " 34210 - # Initialize Population 4 (thin_disk_1) from \n",
+      " 34212 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_1.popjson'\n",
       "\n",
       "\n",
       "# Population 5;  thin_disk_2 ----------------------------------------------\n",
-      " 28478 - # Initialize Population 5 (thin_disk_2) from \n",
-      " 28479 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_2.popjson'\n",
+      " 35597 - # Initialize Population 5 (thin_disk_2) from \n",
+      " 35599 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_2.popjson'\n",
       "\n",
       "\n",
       "# Population 6;  thin_disk_3 ----------------------------------------------\n",
-      " 29857 - # Initialize Population 6 (thin_disk_3) from \n",
-      " 29858 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_3.popjson'\n",
+      " 36917 - # Initialize Population 6 (thin_disk_3) from \n",
+      " 36919 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_3.popjson'\n",
       "\n",
       "\n",
       "# Population 7;  thin_disk_4 ----------------------------------------------\n",
-      " 31175 - # Initialize Population 7 (thin_disk_4) from \n",
-      " 31177 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_4.popjson'\n",
+      " 38254 - # Initialize Population 7 (thin_disk_4) from \n",
+      " 38256 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_4.popjson'\n",
       "\n",
       "\n",
       "# Population 8;  thin_disk_5 ----------------------------------------------\n",
-      " 32540 - # Initialize Population 8 (thin_disk_5) from \n",
-      " 32542 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_5.popjson'\n",
+      " 39585 - # Initialize Population 8 (thin_disk_5) from \n",
+      " 39587 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_5.popjson'\n",
       "\n",
       "\n",
       "# Population 9;  thin_disk_6 ----------------------------------------------\n",
-      " 33892 - # Initialize Population 9 (thin_disk_6) from \n",
-      " 33894 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_6.popjson'\n",
+      " 40942 - # Initialize Population 9 (thin_disk_6) from \n",
+      " 40943 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_6.popjson'\n",
       "\n",
       "\n",
       "# Population 10;  thin_disk_7 ---------------------------------------------\n",
-      " 35195 - # Initialize Population 10 (thin_disk_7) from \n",
-      " 35197 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_7.popjson'\n",
-      " 36546 - # all population are initialized\n"
+      " 42313 - # Initialize Population 10 (thin_disk_7) from \n",
+      " 42315 - pop_file = '/u/mhuston/code/synthpop/synthpop/models/Huston2025/thin_disk_7.popjson'\n",
+      " 43674 - # all population are initialized\n"
      ]
     }
    ],
@@ -275,7 +275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 12,
    "metadata": {
     "pycharm": {
      "metadata": false,
@@ -291,23 +291,23 @@
       "\n",
       "\n",
       "############################# update location #############################\n",
-      " 36620 - # set location to: \n",
-      " 36622 - l, b = (1.00 deg, -1.20 deg)\n",
-      " 36624 - # set solid_angle to:\n",
-      " 36626 - solid_angle = 1.000e-03 deg^2\n",
+      " 314914 - # set location to: \n",
+      " 314916 - l, b = (1.00 deg, -1.20 deg)\n",
+      " 314917 - # set solid_angle to:\n",
+      " 314919 - solid_angle = 1.000e-02 deg^2\n",
       "\n",
       "\n",
       "############################# Generate Field ##############################\n",
       "\n",
       "\n",
       "# Population 0;  bulge ----------------------------------------------------\n",
-      " 49343 - # From density profile (number density)\n",
-      " 49346 - expected_total_iMass = 404149.1758\n",
-      " 49348 - expected_total_eMass = 220493.1658\n",
-      " 49350 - average_iMass_per_star = 0.5739\n",
-      " 49352 - mass_loss_correction = 0.5456\n",
-      " 49354 - n_expected_stars = 704257.1067\n",
-      " 49360 - # Determine velocities when position are generated \n"
+      " 318219 - # From density profile (number density)\n",
+      " 318221 - expected_total_iMass = 4044785.8715\n",
+      " 318223 - expected_total_eMass = 2204133.1699\n",
+      " 318225 - average_iMass_per_star = 0.5739\n",
+      " 318227 - mass_loss_correction = 0.5449\n",
+      " 318230 - n_expected_stars = 7048311.2816\n",
+      " 318236 - # Determine velocities when position are generated \n"
      ]
     },
     {
@@ -316,26 +316,26 @@
        "ascii": false,
        "bar_format": null,
        "colour": null,
-       "elapsed": 0.013125181198120117,
+       "elapsed": 0.004352092742919922,
        "initial": 0,
        "n": 0,
        "ncols": null,
-       "nrows": 65,
+       "nrows": 48,
        "postfix": null,
        "prefix": "",
        "rate": null,
-       "total": 704252,
+       "total": 7046743,
        "unit": "it",
        "unit_divisor": 1000,
        "unit_scale": false
       },
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ca10193b34ed4d0cb99b05866aca0c31",
+       "model_id": "22ad3aac81e042f1853b8d2c3200c992",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/704252 [00:00<?, ?it/s]"
+       "  0%|          | 0/7046743 [00:00<?, ?it/s]"
       ]
      },
      "metadata": {},
@@ -345,178 +345,215 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 64765 - # From Generated Field:\n",
-      " 64767 - generated_stars = 704252\n",
-      " 64789 - generated_total_iMass = 402395.7820\n",
-      " 64840 - generated_total_eMass = 220901.8351\n",
-      " 64859 - det_mass_loss_corr = 0.5490\n",
-      " 65914 - # Done\n",
+      " 477985 - # From Generated Field:\n",
+      " 477987 - generated_stars = 7046743\n",
+      " 478100 - generated_total_iMass = 4054950.7356\n",
+      " 478497 - generated_total_eMass = 2209903.8501\n",
+      " 478679 - det_mass_loss_corr = 0.5450\n",
+      " 489084 - # Done\n",
       "\n",
       "\n",
       "# Population 1;  halo -----------------------------------------------------\n",
-      " 66558 - # From density profile (number density)\n",
-      " 66561 - expected_total_iMass = 535.1923\n",
-      " 66563 - expected_total_eMass = 281.7842\n",
-      " 66565 - average_iMass_per_star = 0.5739\n",
-      " 66567 - mass_loss_correction = 0.5265\n",
-      " 66569 - n_expected_stars = 932.6085\n",
-      " 66574 - # Determine velocities when position are generated \n",
-      " 66714 - # From Generated Field:\n",
-      " 66716 - generated_stars = 943\n",
-      " 66719 - generated_total_iMass = 536.0138\n",
-      " 66730 - generated_total_eMass = 282.5659\n",
-      " 66732 - det_mass_loss_corr = 0.5272\n",
-      " 66808 - # Done\n",
+      " 490911 - # From density profile (number density)\n",
+      " 490914 - expected_total_iMass = 5358.2615\n",
+      " 490916 - expected_total_eMass = 2817.6454\n",
+      " 490919 - average_iMass_per_star = 0.5739\n",
+      " 490921 - mass_loss_correction = 0.5259\n",
+      " 490923 - n_expected_stars = 9337.1309\n",
+      " 490929 - # Determine velocities when position are generated \n",
+      " 491400 - # From Generated Field:\n",
+      " 491403 - generated_stars = 9309\n",
+      " 491405 - generated_total_iMass = 5390.1442\n",
+      " 491415 - generated_total_eMass = 2797.5096\n",
+      " 491418 - det_mass_loss_corr = 0.5190\n",
+      " 491497 - # Done\n",
       "\n",
       "\n",
       "# Population 2;  nsd ------------------------------------------------------\n",
-      " 68360 - # From density profile (number density)\n",
-      " 68362 - expected_total_iMass = 2050.8050\n",
-      " 68364 - expected_total_eMass = 1131.8654\n",
-      " 68365 - average_iMass_per_star = 0.5739\n",
-      " 68367 - mass_loss_correction = 0.5519\n",
-      " 68368 - n_expected_stars = 3573.6656\n",
-      " 68373 - # Determine velocities when position are generated \n",
-      " 68950 - # From Generated Field:\n",
-      " 68952 - generated_stars = 3552\n",
-      " 68955 - generated_total_iMass = 2013.2509\n",
-      " 68968 - generated_total_eMass = 1143.4634\n",
-      " 68970 - det_mass_loss_corr = 0.5680\n",
-      " 69028 - # Done\n",
+      " 493659 - # From density profile (number density)\n",
+      " 493662 - expected_total_iMass = 21004.3518\n",
+      " 493664 - expected_total_eMass = 11407.8549\n",
+      " 493666 - average_iMass_per_star = 0.5739\n",
+      " 493668 - mass_loss_correction = 0.5431\n",
+      " 493670 - n_expected_stars = 36601.4949\n",
+      " 493675 - # Determine velocities when position are generated \n",
+      " 495070 - # From Generated Field:\n",
+      " 495072 - generated_stars = 36962\n",
+      " 495074 - generated_total_iMass = 21113.7310\n",
+      " 495087 - generated_total_eMass = 11572.7285\n",
+      " 495090 - det_mass_loss_corr = 0.5481\n",
+      " 495169 - # Done\n",
       "\n",
       "\n",
       "# Population 3;  thick_disk -----------------------------------------------\n",
-      " 69685 - # From density profile (number density)\n",
-      " 69687 - expected_total_iMass = 4527.5025\n",
-      " 69688 - expected_total_eMass = 2407.4080\n",
-      " 69690 - average_iMass_per_star = 0.5739\n",
-      " 69692 - mass_loss_correction = 0.5317\n",
-      " 69694 - n_expected_stars = 7889.4775\n",
-      " 69698 - # Determine velocities when position are generated \n",
-      " 70405 - # From Generated Field:\n",
-      " 70407 - generated_stars = 7732\n",
-      " 70408 - generated_total_iMass = 4382.8021\n",
-      " 70418 - generated_total_eMass = 2324.9968\n",
-      " 70420 - det_mass_loss_corr = 0.5305\n",
-      " 70480 - # Done\n",
+      " 496491 - # From density profile (number density)\n",
+      " 496493 - expected_total_iMass = 45614.6824\n",
+      " 496495 - expected_total_eMass = 24074.5951\n",
+      " 496496 - average_iMass_per_star = 0.5739\n",
+      " 496498 - mass_loss_correction = 0.5278\n",
+      " 496500 - n_expected_stars = 79486.6505\n",
+      " 496504 - # Determine velocities when position are generated \n",
+      " 503066 - # From Generated Field:\n",
+      " 503068 - generated_stars = 79278\n",
+      " 503073 - generated_total_iMass = 45453.4847\n",
+      " 503085 - generated_total_eMass = 24011.1718\n",
+      " 503087 - det_mass_loss_corr = 0.5283\n",
+      " 503177 - # Done\n",
       "\n",
       "\n",
       "# Population 4;  thin_disk_1 ----------------------------------------------\n",
-      " 71094 - # From density profile (number density)\n",
-      " 71096 - expected_total_iMass = 35.9506\n",
-      " 71098 - expected_total_eMass = 28.6040\n",
-      " 71100 - average_iMass_per_star = 0.5739\n",
-      " 71101 - mass_loss_correction = 0.7956\n",
-      " 71103 - n_expected_stars = 62.6463\n",
-      " 71108 - # Determine velocities when position are generated \n",
-      " 71405 - # From Generated Field:\n",
-      " 71407 - generated_stars = 72\n",
-      " 71408 - generated_total_iMass = 87.2897\n",
-      " 71418 - generated_total_eMass = 26.7304\n",
-      " 71421 - det_mass_loss_corr = 0.3062\n",
-      " 71487 - # Done\n",
+      " 504402 - # From density profile (number density)\n",
+      " 504404 - expected_total_iMass = 348.8609\n",
+      " 504406 - expected_total_eMass = 286.8210\n",
+      " 504408 - average_iMass_per_star = 0.5739\n",
+      " 504410 - mass_loss_correction = 0.8222\n",
+      " 504412 - n_expected_stars = 607.9136\n",
+      " 504417 - # Determine velocities when position are generated \n",
+      " 505375 - # From Generated Field:\n",
+      " 505377 - generated_stars = 604\n",
+      " 505379 - generated_total_iMass = 262.8793\n",
+      " 505389 - generated_total_eMass = 250.0261\n",
+      " 505391 - det_mass_loss_corr = 0.9511\n",
+      " 505457 - # Done\n",
       "\n",
       "\n",
       "# Population 5;  thin_disk_2 ----------------------------------------------\n",
-      " 72158 - # From density profile (number density)\n",
-      " 72160 - expected_total_iMass = 690.4400\n",
-      " 72162 - expected_total_eMass = 476.4923\n",
-      " 72164 - average_iMass_per_star = 0.5739\n",
-      " 72166 - mass_loss_correction = 0.6901\n",
-      " 72169 - n_expected_stars = 1203.1381\n",
-      " 72174 - # Determine velocities when position are generated \n",
-      " 72761 - # From Generated Field:\n",
-      " 72762 - generated_stars = 1221\n",
-      " 72764 - generated_total_iMass = 732.2976\n",
-      " 72774 - generated_total_eMass = 471.9001\n",
-      " 72776 - det_mass_loss_corr = 0.6444\n",
-      " 72833 - # Done\n",
+      " 506859 - # From density profile (number density)\n",
+      " 506861 - expected_total_iMass = 7009.9264\n",
+      " 506864 - expected_total_eMass = 4776.9950\n",
+      " 506866 - average_iMass_per_star = 0.5739\n",
+      " 506868 - mass_loss_correction = 0.6815\n",
+      " 506870 - n_expected_stars = 12215.2679\n",
+      " 506875 - # Determine velocities when position are generated \n",
+      " 508506 - # From Generated Field:\n",
+      " 508508 - generated_stars = 12251\n",
+      " 508510 - generated_total_iMass = 6963.1850\n",
+      " 508522 - generated_total_eMass = 4775.8925\n",
+      " 508524 - det_mass_loss_corr = 0.6859\n",
+      " 508594 - # Done\n",
       "\n",
       "\n",
       "# Population 6;  thin_disk_3 ----------------------------------------------\n",
-      " 73543 - # From density profile (number density)\n",
-      " 73545 - expected_total_iMass = 2081.8223\n",
-      " 73547 - expected_total_eMass = 1297.9643\n",
-      " 73549 - average_iMass_per_star = 0.5739\n",
-      " 73551 - mass_loss_correction = 0.6235\n",
-      " 73556 - n_expected_stars = 3627.7153\n",
-      " 73578 - # Determine velocities when position are generated \n",
-      " 74094 - # From Generated Field:\n",
-      " 74096 - generated_stars = 3694\n",
-      " 74098 - generated_total_iMass = 2177.6512\n",
-      " 74108 - generated_total_eMass = 1339.8211\n",
-      " 74110 - det_mass_loss_corr = 0.6153\n",
-      " 74184 - # Done\n",
+      " 509643 - # From density profile (number density)\n",
+      " 509645 - expected_total_iMass = 20856.1372\n",
+      " 509648 - expected_total_eMass = 12997.9437\n",
+      " 509649 - average_iMass_per_star = 0.5739\n",
+      " 509652 - mass_loss_correction = 0.6232\n",
+      " 509653 - n_expected_stars = 36343.2210\n",
+      " 509659 - # Determine velocities when position are generated \n",
+      " 512898 - # From Generated Field:\n",
+      " 512900 - generated_stars = 36209\n",
+      " 512902 - generated_total_iMass = 20352.4708\n",
+      " 512914 - generated_total_eMass = 12891.7483\n",
+      " 512916 - det_mass_loss_corr = 0.6334\n",
+      " 513018 - # Done\n",
       "\n",
       "\n",
       "# Population 7;  thin_disk_4 ----------------------------------------------\n",
-      " 74824 - # From density profile (number density)\n",
-      " 74827 - expected_total_iMass = 3228.8521\n",
-      " 74828 - expected_total_eMass = 1938.1996\n",
-      " 74831 - average_iMass_per_star = 0.5739\n",
-      " 74833 - mass_loss_correction = 0.6003\n",
-      " 74835 - n_expected_stars = 5626.4919\n",
-      " 74841 - # Determine velocities when position are generated \n",
-      " 75455 - # From Generated Field:\n",
-      " 75457 - generated_stars = 5673\n",
-      " 75459 - generated_total_iMass = 3484.5553\n",
-      " 75470 - generated_total_eMass = 1930.4602\n",
-      " 75472 - det_mass_loss_corr = 0.5540\n",
-      " 75530 - # Done\n",
+      " 514149 - # From density profile (number density)\n",
+      " 514152 - expected_total_iMass = 32646.4266\n",
+      " 514154 - expected_total_eMass = 19396.8894\n",
+      " 514155 - average_iMass_per_star = 0.5739\n",
+      " 514157 - mass_loss_correction = 0.5942\n",
+      " 514159 - n_expected_stars = 56888.5930\n",
+      " 514164 - # Determine velocities when position are generated \n",
+      " 518943 - # From Generated Field:\n",
+      " 518945 - generated_stars = 56979\n",
+      " 518947 - generated_total_iMass = 32979.8631\n",
+      " 518962 - generated_total_eMass = 19536.3620\n",
+      " 518965 - det_mass_loss_corr = 0.5924\n",
+      " 519057 - # Done\n",
       "\n",
       "\n",
       "# Population 8;  thin_disk_5 ----------------------------------------------\n",
-      " 76179 - # From density profile (number density)\n",
-      " 76181 - expected_total_iMass = 9510.2076\n",
-      " 76183 - expected_total_eMass = 5464.7054\n",
-      " 76185 - average_iMass_per_star = 0.5739\n",
-      " 76186 - mass_loss_correction = 0.5746\n",
-      " 76188 - n_expected_stars = 16572.1760\n",
-      " 76192 - # Determine velocities when position are generated \n",
-      " 77746 - # From Generated Field:\n",
-      " 77748 - generated_stars = 16490\n",
-      " 77750 - generated_total_iMass = 9759.0804\n",
-      " 77761 - generated_total_eMass = 5428.2236\n",
-      " 77763 - det_mass_loss_corr = 0.5562\n",
-      " 77823 - # Done\n",
+      " 520142 - # From density profile (number density)\n",
+      " 520145 - expected_total_iMass = 94734.0335\n",
+      " 520147 - expected_total_eMass = 54663.4750\n",
+      " 520149 - average_iMass_per_star = 0.5739\n",
+      " 520151 - mass_loss_correction = 0.5770\n",
+      " 520153 - n_expected_stars = 165080.4217\n",
+      " 520159 - # Determine velocities when position are generated \n",
+      " 533891 - # From Generated Field:\n",
+      " 533893 - generated_stars = 164848\n",
+      " 533895 - generated_total_iMass = 93208.0873\n",
+      " 533912 - generated_total_eMass = 54444.8540\n",
+      " 533915 - det_mass_loss_corr = 0.5841\n",
+      " 534037 - # Done\n",
       "\n",
       "\n",
       "# Population 9;  thin_disk_6 ----------------------------------------------\n",
-      " 78458 - # From density profile (number density)\n",
-      " 78460 - expected_total_iMass = 13048.1989\n",
-      " 78462 - expected_total_eMass = 7307.6991\n",
-      " 78464 - average_iMass_per_star = 0.5739\n",
-      " 78466 - mass_loss_correction = 0.5601\n",
-      " 78468 - n_expected_stars = 22737.3638\n",
-      " 78472 - # Determine velocities when position are generated \n",
-      " 80487 - # From Generated Field:\n",
-      " 80488 - generated_stars = 22830\n",
-      " 80490 - generated_total_iMass = 13007.2061\n",
-      " 80501 - generated_total_eMass = 7269.9599\n",
-      " 80503 - det_mass_loss_corr = 0.5589\n",
-      " 80569 - # Done\n",
+      " 535339 - # From density profile (number density)\n",
+      " 535341 - expected_total_iMass = 130787.4679\n",
+      " 535342 - expected_total_eMass = 73087.7952\n",
+      " 535344 - average_iMass_per_star = 0.5739\n",
+      " 535346 - mass_loss_correction = 0.5588\n",
+      " 535348 - n_expected_stars = 227905.9547\n",
+      " 535353 - # Determine velocities when position are generated \n",
+      " 553545 - # From Generated Field:\n",
+      " 553547 - generated_stars = 226254\n",
+      " 553550 - generated_total_iMass = 128887.9264\n",
+      " 553564 - generated_total_eMass = 72492.2212\n",
+      " 553567 - det_mass_loss_corr = 0.5624\n",
+      " 553711 - # Done\n",
       "\n",
       "\n",
       "# Population 10;  thin_disk_7 ---------------------------------------------\n",
-      " 81160 - # From density profile (number density)\n",
-      " 81162 - expected_total_iMass = 27935.0745\n",
-      " 81164 - expected_total_eMass = 15198.7428\n",
-      " 81166 - average_iMass_per_star = 0.5739\n",
-      " 81169 - mass_loss_correction = 0.5441\n",
-      " 81170 - n_expected_stars = 48678.7452\n",
-      " 81176 - # Determine velocities when position are generated \n",
-      " 85225 - # From Generated Field:\n",
-      " 85227 - generated_stars = 48840\n",
-      " 85229 - generated_total_iMass = 28102.8094\n",
-      " 85241 - generated_total_eMass = 15245.3693\n",
-      " 85243 - det_mass_loss_corr = 0.5425\n",
-      " 85333 - # Done\n",
+      " 554812 - # From density profile (number density)\n",
+      " 554815 - expected_total_iMass = 280451.4797\n",
+      " 554817 - expected_total_eMass = 151998.6829\n",
+      " 554819 - average_iMass_per_star = 0.5739\n",
+      " 554821 - mass_loss_correction = 0.5420\n",
+      " 554823 - n_expected_stars = 488705.5561\n",
+      " 554829 - # Determine velocities when position are generated \n"
+     ]
+    },
+    {
+     "data": {
+      "application/json": {
+       "ascii": false,
+       "bar_format": null,
+       "colour": null,
+       "elapsed": 0.004235029220581055,
+       "initial": 0,
+       "n": 0,
+       "ncols": null,
+       "nrows": 48,
+       "postfix": null,
+       "prefix": "",
+       "rate": null,
+       "total": 486978,
+       "unit": "it",
+       "unit_divisor": 1000,
+       "unit_scale": false
+      },
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3176448d9421435088fe65b4d07ec017",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/486978 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " 593265 - # From Generated Field:\n",
+      " 593267 - generated_stars = 486978\n",
+      " 593276 - generated_total_iMass = 279356.2157\n",
+      " 593311 - generated_total_eMass = 151664.9846\n",
+      " 593326 - det_mass_loss_corr = 0.5429\n",
+      " 594108 - # Done\n",
       "\n",
       "\n",
       "########################### Combine Populations ###########################\n",
-      " 85612 - Number of stars generated: 815299 (34 columns)\n",
-      " 85614 - included_columns = ['pop', 'iMass', 'age', 'Fe/H_initial', 'Mass', 'In_Final_Phase', 'Dist', 'l', 'b', 'vr_bc', 'mul', 'mub', 'x', 'y', 'z', 'U', 'V', 'W', 'VR_LSR', 'A_Ks', 'logL', 'logTeff', 'logg', 'Fe/H_evolved', 'log_radius', 'phase', 'Bessell_U', 'Bessell_B', 'Bessell_V', 'Bessell_R', 'Bessell_I', '2MASS_J', '2MASS_H', '2MASS_Ks']\n",
-      " 89497 - ---------------------------------------------------------------\n",
+      " 597182 - Number of stars generated: 8156415 (34 columns)\n",
+      " 597185 - included_columns = ['pop', 'iMass', 'age', 'Fe/H_initial', 'Mass', 'In_Final_Phase', 'Dist', 'l', 'b', 'vr_bc', 'mul', 'mub', 'x', 'y', 'z', 'U', 'V', 'W', 'VR_LSR', 'A_Ks', 'logL', 'logTeff', 'logg', 'Fe/H_evolved', 'log_radius', 'phase', 'Bessell_U', 'Bessell_B', 'Bessell_V', 'Bessell_R', 'Bessell_I', '2MASS_J', '2MASS_H', '2MASS_Ks']\n",
+      " 649951 - ---------------------------------------------------------------\n",
       "\n"
      ]
     },
@@ -525,14 +562,14 @@
      "output_type": "stream",
      "text": [
       "PopSyCLE formatted output saved in synthpop_output/synthpopsycle_l1.000_b-1.200_psc.h5\n",
-      "Synthpop catalog generated in 0.88 minutes.\n"
+      "Synthpop catalog generated in 5.58 minutes.\n"
      ]
     }
    ],
    "source": [
     "t0=time.time()\n",
     "_ = sp_mod.process_location(1, -1.2, # first, enter l and b in degrees\n",
-    "                            solid_angle=1e-3, solid_angle_unit='deg^2', # solid angle can be in deg^2 or sr\n",
+    "                            solid_angle=1e-2, solid_angle_unit='deg^2', # solid angle can be in deg^2 or sr\n",
     "                            save_data=False) # this prevents synthpop from saving in its default format, it will already be saved via popsycle_post_processing\n",
     "print(f'Synthpop catalog generated in {np.round((time.time()-t0)/60, 2)} minutes.')"
    ]
@@ -552,7 +589,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 13,
    "metadata": {
     "pycharm": {}
    },
@@ -561,9 +598,33 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Working on loop ll, bb =  0 2\n",
+      "Working on loop ll, bb =  0 3\n",
+      "Working on loop ll, bb =  2 2\n",
+      "Working on loop ll, bb =  2 3\n",
+      "Working on loop ll, bb =  4 0\n",
+      "Working on loop ll, bb =  4 1\n",
       "Working on loop ll, bb =  0 0\n",
-      "Candidate events detected:  156\n",
-      "calc_events runtime : 39.351228 s\n"
+      "Working on loop ll, bb =  0 1\n",
+      "Working on loop ll, bb =  1 3\n",
+      "Working on loop ll, bb =  1 4\n",
+      "Working on loop ll, bb =  3 1\n",
+      "Working on loop ll, bb =  3 2\n",
+      "Working on loop ll, bb =  0 4\n",
+      "Working on loop ll, bb =  1 0\n",
+      "Working on loop ll, bb =  2 0\n",
+      "Working on loop ll, bb =  2 1\n",
+      "Working on loop ll, bb =  3 3\n",
+      "Working on loop ll, bb =  3 4\n",
+      "Working on loop ll, bb =  4 4\n",
+      "Working on loop ll, bb =  1 1\n",
+      "Working on loop ll, bb =  1 2\n",
+      "Working on loop ll, bb =  2 4\n",
+      "Working on loop ll, bb =  3 0\n",
+      "Working on loop ll, bb =  4 2\n",
+      "Working on loop ll, bb =  4 3\n",
+      "Candidate events detected:  1424\n",
+      "calc_events runtime : 440.335840 s\n"
      ]
     }
    ],
@@ -593,7 +654,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 14,
    "metadata": {
     "pycharm": {}
    },
@@ -602,16 +663,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Original candidate events:  123\n",
-      "Candidate events in survey window:  101\n",
-      "refine_events runtime : 0.381826 s\n"
+      "Original candidate events:  1113\n",
+      "Candidate events in survey window:  983\n",
+      "refine_events runtime : 2.282272 s\n"
      ]
     }
    ],
    "source": [
     "synthetic.refine_events(input_root = 'synthpop_output/synthpopsycle_l1.000_b-1.200_psc', \n",
-    "                        filter_name = 'I',\n",
-    "                        photometric_system = 'ubv',\n",
+    "                        filter_dict={'ubv':['I']},\n",
     "                        red_law = 'Damineli16', \n",
     "                        overwrite = True, \n",
     "                        output_file = 'default',\n",
@@ -638,7 +698,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 15,
    "metadata": {
     "pycharm": {}
    },
@@ -667,7 +727,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 16,
    "metadata": {
     "pycharm": {}
    },
@@ -676,10 +736,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of BHs: 1\n",
-      "Number of NSs: 3\n",
-      "Number of WDs: 13\n",
-      "Number of stars: 84\n"
+      "Number of BHs: 19\n",
+      "Number of NSs: 18\n",
+      "Number of WDs: 145\n",
+      "Number of stars: 801\n"
      ]
     }
    ],
@@ -705,7 +765,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 17,
    "metadata": {
     "pycharm": {}
    },
@@ -716,13 +776,13 @@
        "Text(0.5, 0, '$t_E$ (days)')"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 600x600 with 1 Axes>"
       ]
@@ -749,14 +809,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 18,
    "metadata": {
     "pycharm": {}
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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Ypk+fLk/MZlCjRg35izgjI6PS9OYrV67ErVu3IEkSJk6caPbY999/v9k5JcLDw+XfLSWi2WP+/Pnyl6ajx0pOToYkSQgPD0fHjh3x3nvvoaioCGFhYUhOTsZbb71lVH779u0A9EFM3759ze7XkEQJ6JN1zQkLC0NYWJjZ5zt37iz/fvz48UrPS5KExMREpKWlGSVX/vnnn5g4cSJGjx5dKUlarVZj3LhxAPTTr69fv97o+ZSUFPkC9Oyzzxo9V/69o1Ip8yslOjoa99xzD4DKAY4hoXvo0KHo168fAH3S8cWLF+UyW7ZsQUlJCWrUqIEHHnigyvWZOnUqtm7dCpVKhX/9618WE5utMbx/AcjvAUetXr0as2bNAgC89NJLmDRpksXyDz74IAB9wNa9e3esXr1avlmoivITl1r6LJHzXLlyBX379sWZM2dQvXp1bN68GXfddZfV7cr/fZw94awyv43IpK5du+LYsWP44osvEBUVJT++YMECJCYmVir/zDPPyL8vWbLE6LnPP/8cgH5USLNmzcwe09J6JK7gzOOFhISgfv36GDhwIBYuXIhz586ZnNzvzJkzAPSz9hpavcwxvFbnzp1zOKgrf0d69epVs+Xi4uKwY8cOrFu3zmjk2erVq/HUU09VKv/000/LrRQV/96LFy8GALRo0aLSBbpmzZry73/++afN5+FqV69ehdB3w1f6cWQYfUJCAgD9bNGGidM0Gg1SUlIA6AOc3r17y0Fe+Vac//znPwCAIUOGWL2jtebvf/+73Jo2f/58PPTQQ1XaX/mWkw4dOji8n71792LChAkA9Oe5YMECq9s8+eSTGDlyJAD95I+jR49GkyZNkJSUVKWZhcsH8L6y3pm51kZzP97k7Nmz6NatG3755RdER0dj586d6N69u03blv/7mBplVxUMcPyMSqXCxIkTkZmZiYEDB8qP//3vf8fJkyeNysbHx8sX5DVr1qC4uBgAsH//fnkq8Oeee85NNXefqVOnQgiBoqIi/PHHH9i8eTNefvlls7PiFhQUAEClbjFTDGWEELh165ZD9Sv/haDT6ayWHzFiBDIyMozuzv/9739Xaolo2rSp3OKzdetW/PHHHwCAixcvYvPmzQD0rTcVv1zr1q0r//7bb7/ZdS6+xBDgCCGwdetWAPqL+p9//onmzZujdevWqFmzpjxrqyHAuX37tvz6Pfzww1WqQ1lZmRzcGPZdVeXfh1XpYvzyyy/lwEKr1dr03pQkCatXr8Znn30md5H+8ccfSExMRPPmzfHdd985VJfyM3Wbm9KBnOPXX39F9+7dcebMGdx55504ePCgXS2K5f8+5VvanYEBjp+qU6cO1q9fL78RdTqdfJdpIEmSfEeWl5cnf9ksWrQIgL7v1JBz4M8MH0pbJqoyXExUKpXDH+byd7a1atWyaZuwsDAsXbrU6O/17bffVipnaLXT6XRYsWIFAOCLL76AVqtFUFCQyS6M+++/X/597969NtXHF3Xp0kUOAAzBoaF7qvwqzYZuKkOAs23bNuTn5yMsLMxiPootAgMDsWXLFjkH6o033sCyZcuqtM/yLXCGYN0RixcvRteuXQHo50ay1HVdniRJmDx5Ms6ePYsVK1bI30lXr17Fww8/LAeT9ijfypmXl2f39p5grrXR3I83+O233xAfH4/s7Gy0b98ee/bsQZMmTezaR/m/T/l8HGdggOPHAgMDMXXqVPn/Fy5cqFRm3Lhx8qKSS5YswY0bN+QL44QJE6rc3K4EzZs3B6BvYrd0tyiEkLuzGjdu7HC+SvkZi9u2bWvXti+88IL8u6m/94gRI+QL3tKlS1FWVoZ//vOfAPStD6Zasfr06SP/vmzZMq/58nW2gIAA+Vy3bt0KnU5nlH9jYAhwsrOzcfLkSfnGYeDAgSbzw+zVvHlzbN68WW6lmDhxotxC5Ig2bdrIv6empjq8n5CQEGzatEle727ZsmV4/fXXbd4+ODgYY8eOxdGjR7F48WJIkgQhRKWcN1uU/1xcvnzZ7u3JutzcXAwcOBBXrlxBs2bNsG3bNqPUB1tlZ2fLv9v7fWYNAxw/Z2gWBoCIiAiTzxu6srZv345Zs2ahpKQEkiQZ5ei4QvkAoLCw0KXHqgpDYrFWq600eqa8ffv2yXfIVUk0NdzRBgUF2dzPbWDt712tWjWMHj0aAPD777/j1Vdflb+AKiYXGwwbNkwewXPq1CmzI7WUwNBNde3aNaxevRqnT59GzZo1jf4OXbp0kRMnf/jhB3mkojNGTxl07NgR//nPfxAYGCiPqDp06JBD+xo8eLD8u6kRk/aoWbMmUlJS5PfDvHnzrM6Obcpzzz0nt3ZlZGTYvb2huxBApa53qjqdToeRI0ciKysLgYGB+P7771G7dm2H9mUYOWWYMduZGOAomC194AcOHJB/L9/VUN7TTz8NQN8CYfiy6tevH5o2beqEWppXvvvF1JIO3mLSpElyS9bs2bNN5kVoNBq88cYb8v+ff/55s/szrPBuyu7du+URWI8//rjRa+TsvzcAeXXwO++80+x09wEBAXj77bfl/7/88svYt2+f1boA+hySqiSTulv5vDXD+kaDBg0yyosKCgpCr169AOgT+K9evYqgoCB5xJCz9OvXD8uWLYMkSSgqKsLgwYONWvds9dBDD8krje/btw8fffRRlerVsGFD/PDDD3KA8cILL5jsDgX0gaI5hqkjatSoYXcd1Gq1/LdyNPAj8z7++GP5e2jatGlVankx/H0GDhwo9xY4CwMcBXv++efxzDPPYP/+/Sa7DbZu3SqPdGjZsqVRHkF5gwcPrjSXhDuSi8tfUJ9//nkcOXIExcXF8ggWb3HHHXcgKSkJgH7dor59+2L37t0oKipCYWEhdu/ejf79+8tz1rzyyitGw/UrKi0txahRozBs2DDs3LkTRUVFuHnzJpYtWyav81SjRg35mAbz5s3DY489hh9//NHkUNtjx47Jo+Vq165tdkhw+/btKyUJmmu9MRg/fjzGjBkDQJ9n1L9/fyxcuNBsEmx2djYWLFiAZs2aWewWyc7Oxrlz5yz+OHvkhSUNGjSQu2AuXboEwLh7ysDQTWUo07dvX5MtZlX1xBNPyJ/ha9euYcCAAUZN/rZQq9VYtWqVPALxxRdfxKRJk3DixAmUlpYiJycHe/bswUsvvYTPPvvMpn3GxcVh48aNCAkJgU6nw5gxY7Br165K5QYMGIDBgwdj5cqVyMrKwu3bt3H+/HlMmjRJvqkxtCjay5A/+NNPP7lkIcfy2rdvL49umj17tkuP5Wrl1y0zdVOTl5dndENTlWtBSUmJPE1B+cWMncap0waSVyk/e2lsbKx45JFHxPTp08W0adNEjx495Ofq1Kkjfv75Z4v7eu2114z2VVZWZrG8LbNnWlrHRgghtFqtvJ5M+Z+7777bqFzFtajMgYXZSW1ZqsGad955x+paVP/3f/9ndS2qO+64Q0yZMsXsPmrWrCkOHDhQafvyr2etWrXEkCFDxCuvvCJeeuklMWDAACFJkgAgQkJCxLZt2yyey2effSbvKzg4WFy7ds3q+Ws0GjF16lSjukZERIjhw4eLl156ScycOVNMmDBBtG/f3uh1qvg3K/++teWn/PYVl0yw9nPz5k2r51XRyy+/LG8fGBhockbwjIwMo+N89dVXdh+nPEtrUQkhxKuvviofq3379pXqZMus4Nu3bxe1atWy+HrNmjXLaBtrn+H169cLtVotAP2SDSdOnDB6/u6777Z4vL59+4qioiKbXiNTDPv/8ssvLZaz9f1i7vus/HlUfI3crfws8pZ+zL2Xyr9XTJ1v+e/KqrxmQgixbNkyAeiX1nEFBjgKlpSUJGrUqGH2jRcQECAef/xx8ccff1jdV/l1p9544w2r5Z0R4AghRGFhoZg5c6Zo0qSJCAwMFHXq1BHPPPOMURlvCXCEEOLEiRNi4sSJolmzZiIkJESEhoaK5s2biwkTJlhddqDiRWzz5s0iISFB1KpVSwQHB4vmzZuLF198UWRnZ5vcfsWKFSI6Otrs31uSJJGQkCBOnjxp9TyuX78uB0SjR4+26zXYtWuX6NOnj3xhM/WjUqlE586dxSeffCJu3bpltL23Bzg//vijvH2/fv3MlqtXr54AINRqdZWXjbAW4Oh0Onl5BEC/+G35ZTxsXfbk2rVr4s033xR33XWXCAsLE6GhoaJx48aif//+Yvbs2SIzM9OovC2f4S+//FIuU69ePXHu3Dn5uUOHDom33npL9OzZUzRo0EAEBgaKGjVqiF69eoklS5bYvWZXRYa/VaNGjUwuoWLgzABn9uzZVapzVflKgHP79m3RvHlzATi2nIYtJCEUOuSBAOjzMk6fPo1ffvkF58+fR2FhIcLCwtC0aVN069bN7NwuFS1cuBCvvvoqVCoVzpw549BEaWRZfHw8du3ahUaNGlVp2vpz587hxIkTOHfuHPLz8xESEoI77rgDXbt2Rf369W3ax7p16/DII48AAHbt2oWePXvaXY8///wTe/fuxR9//IEbN25ArVajZs2aaN68Oe655x6j4clErvLkk09i5cqVmD59Ot5//32XHefNN9/Ee++9h08//dRodCqZNnv2bMyZMwePP/642ZzDqvKNKR7JYSqVCnfeeaecROgIjUYjJ5v279+fwY2Xa9y4cZX/RgsXLgQAtGrVyqHgBtDnCZUfoUPkCYsWLUJaWhoWLlyILl26yHlszmbIDXT14Asl2Lp1K959913ceeedRhNXOhuTjMmqb775Rp4zRYkzF5OxAwcOyKOt+PcmXxcWFoYff/wRLVu2xKuvvuqSYxQVFSElJQX169e3uB4d6SUmJqJRo0bYtm2bS5LvDRjgkFUffPABAP0cKrwjVz5D6021atXw5JNPerg2RFUXExOD/fv3Gw3zd6ZHH30UZWVl+Pbbbzn5qQ3i4+Nx8OBBeb4kV2EXFVm0a9cuebjmhAkTfGbhOnJMVlYWvv/+ewDAI488YvNSEETermbNmg5NOmiLuXPnonXr1ggKCnLJ/pXGcBPlakwyJiIiIsVhFxUREREpDvsbfIxOp8Ply5cRHh4OSZI8XR0iIiK3EkKgoKAA9erVs7hoMQMcH3P58mU0bNjQ09UgIiLyqIsXL1pMVGaA42PCw8MB6P+wrhxeR0RE5I3y8/PRsGFD+XpoDgMcH2PoloqIiGCAQ0REfstamgaTjImIiEhxGOAQERGR4jDAISIiIsVhgENERESKwwCHiIiIFIcBDhERESkOAxwiIiJSHM6D48WSk5ORnJxs9JhWq3V4fxqNBhqNpqrVIhdSqVQIDAzkMhxERFXE1cR9TH5+PiIjI5GXl2fzRH9FRUW4du0aCgsLXVw7cobAwECEh4ejTp06UKvVnq4OEZFXsfU6yBYchbt9+zYuXryIwMBA1K1bF8HBwWwd8FJCCGi1Wty6dQt//vkniouL0bBhQwY5REQOYICjcLm5uVCr1WjUqBEvlD6ievXqiIyMxIULF3Dt2jXExMR4ukpERD6HScYKJoRAUVERIiMjGdz4mJCQEERERKCgoADsRSYish8DHAUrKyuDVqtFSEiIp6tCDggPD0dZWRnKyso8XRUiIp/DLioF0+l0AMDWGx9l+LsZ/o5kG61O4HDWDeQWlCA6vBo6NakFtYp5Z0T+hgGOH2BSsW/i381+KRnZmLMxE9l5JfJjdSOrYdaQOCS0revBmhGRu7GLisiMgoICHD58GPv37/d0VcgGKRnZmLwq1Si4AYCcvBJMXpWKlIxsD9WMiDyBAQ6RGevWrUPnzp3x+uuve7oqZIVWJzBnYyZMpWMbHpuzMRNaHRO2ifwFAxwi8nmHs25UarkpTwDIzivB4awb7qsUEXkUAxzyO8XFxZg/fz7atWuH6tWrIywsDK1bt8abb74pl2ncuDHGjx8PANi1axckSYIkSWjcuLFcRqvV4vvvv8dTTz2FuLg4hIeHIzQ0FPfddx/+/e9/mzx248aNIUkSdu7ciUOHDqF///6IjIzEuHHjXHnKipdbYD64caScUmh1AgfOXMf6tEs4cOY6W7DIrzDJmKrEF0esjBgxAikpKWjWrBlGjBiBkpIS/Pbbbzhy5IhcZvTo0di/fz927tyJunXrYujQoQCA2rVry2Wys7MxfPhw1KtXD+3atUPnzp1x5swZ7NmzB6NGjUKDBg3QrVs3k3XYs2cP3nvvPTRq1AhDhw5Fu3btXHvSChcdXs2p5ZSACdfk7xjgkMN88Qv0t99+Q0pKCho2bIiMjAxUq/bXBe/27dvy7++99x6WLVuGnTt3omXLlli8eHGlfdWsWRN79uxBt27djEY8TZ48GYsXL8bKlSvNBjhvv/023nzzTfztb3+DSsWG1Krq1KQW6kZWQ05eick8HAlAbKQ+APcHhoTriq+FIeF60ZgOXvsZJXIWfrOSQ3x1xIphwVFTQ7CDgoLs2ldYWBi6d+9eaV+dOnUCAJw9e9bstqNHj8asWbMY3DiJWiVh1pA4APpgpjzD/2cNifP61kVnYMI1kR6/XcluvvwF2rZtWzRt2hQXLlxA165dsWHDhipPpHfr1i2sX78e7777Ll566SWsXLkSgHGLUEXMuXG+hLZ1sWhMB8RGGndDxUZW86sWCyZcE+mxi8qLJScnIzk52egxrVbrodr8xZ4v0C7Napst5wlBQUHYsGEDhg0bhuPHj2PYsGFo0qQJXnvtNTz77LN2tagIITB//ny89957uHXrlgtrTbZKaFsX/eJifS4vzJmYcE2kxxYcLzZ16lRkZmYa/ZRPhPUUX/8CbdOmDTIzM/H5558jLi4OWVlZmDx5Mvr37w+NRmPzft555x0kJiZCp9PhzTffREZGBm7duoWlS5e6sPZkjVoloUuz2hjWvj66NKvtV8ENwIRrIgMGOGQ3JXyBBgUF4dlnn0VGRgbWrFmD0NBQ/PTTT1iyZIlN22s0GnzwwQcAgDVr1uCdd95BmzZtEBYW5spqE1llSLg2F9ZJ0A8G8JeEa/JfDHDIbkr6ApUkCSNHjsSECRMAAGlpafJzgYGBAGCy++natWvIy8sDAPTr18/kvoXwvhwkUj4mXBPpMcAhu/nyF+gvv/yC7du3GwUfZWVlOHr0KACgadOm8uPNmjUDAGRkZODcuXNG+4mOjkZoaCgAYMuWLfLjly9fxooVKwAA58+fd8k5EFnDhGsiJhmTgwxfoBXnwYn18nlwTp8+jeHDh6Nu3bq4//77ERERgb179+LMmTNo3bo1nnvuObnsfffdh/bt2yMtLQ333XcfBgwYgKioKPzjH/+ASqXCtGnTMH/+fIwaNQpDhw5FWVkZtm7diieeeAKpqak4f/48+vfvj6SkJHTo0MGDZ03+iAnX5O8Y4JDDfPELtGPHjpg+fTp27tyJ3bt3o7i4GE2bNsXs2bPx8ssvIzw8XC6rVquxadMmvPrqq9ixYwf+85//ICEhQX7+3XffRfXq1bF06VJs3rwZHTp0wNdff42hQ4eiR48eePHFF/Hzzz/jypUrnjhVIjnhmsgfSYKJAj4lPz8fkZGRyMvLQ0REhMWyJSUlyMrKQpMmTYxm7CXfwL8fEVFltl4HmYNDREREisMAh4iIiBSHAQ4REREpDgMcIiIiUhwGOERERKQ4DHCIiIhIcRjgEBERkeIwwCEiIiLFYYBDREREisMAh4iIiBSHa1F5seTkZCQnJxs9ptVqPVQbIiIi38EAx4tNnToVU6dONXrMsAYHERG5j1YnfGphYWKAQ0REZFFKRjbmbMxEdl6J/FjdyGqYNSQOCW3rerBmZAlzcIiIiMxIycjG5FWpRsENAOTklWDyqlSkZGR7qGZkDQMcIiIiE7Q6gTkbMyFMPGd4bM7GTGh1pkqQpzHAIb/QokULSJKEr7/+2uTzkydPhiRJaNOmjcnnCwsLERwcjNatWwMAGjduDEmSjH7UajVq1qyJFi1a4IknnsA333wDIfjFR+SrDmfdqNRyU54AkJ1XgsNZN9xXKbIZc3DIL/Tu3Ru///47fvrpJ4wcObLS83v27AEAnDx5Ejdv3kTNmjWNnt++fTtu376NhIQEo8d79eqFVq1aQQiB4uJi5Obm4ueff8aaNWuwZs0a3HfffdiwYQNiY2Ndd3JE5BK5BeaDG0fKkXuxBYf8Qu/evQHoA5WKrl+/jszMTACAEAL79++vVGbLli0AUCnAGTNmDBYvXozPP/8cK1asQEpKCi5duoS1a9eiZs2aOHLkCHr27ImCggJnnxIRuVh0eDWnliP3YoBDfqF3796QJAlnz57FuXPnjJ7bu3cvhBAICgoCAOzbt6/S9j/88ANCQkLQq1cvq8dSqVR49NFHsX37dgQHB+P06dP429/+5pTzICL36dSkFupGVoO5weAS9KOpOjWp5c5qkY0Y4JBfiIqKQtu2bQFUbsUxdE+NHTsWQOUA57fffsPZs2cRHx+PatVsv1Nr3749pk2bBgD45z//icLCQofrT0Tup1ZJmDUkDgAqBTmG/88aEsf5cLwUAxyqGp0WyNoDpH+r/1fnvTMtG7qpfvrpJ6PHd+/ejVq1amHixIkAgCNHjqCsrEx+PiUlBUDl7ilbGIKmW7du4cCBAw7Vm4g8J6FtXSwa0wGxkcY3N7GR1bBoTAfOg+PFmGRMjsvcAKTMAPIv//VYRD0gYT4QN9Rz9TKjd+/e+Oijj7Bjxw75scLCQhw/fhyDBg1Cx44dERoaiqKiIqSmpqJz584AzOff2KJt27aoVq0aSkpK8Ouvv6Jv377OORkicpuEtnXRLy6WMxn7GLbgkGMyNwBrnzQObgAgP1v/eOYGz9TLgl69ekGtViM7O1tOKt6/fz80Gg169uyJgIAAdOrUCcBf3VTFxcXYvXs3mjZtipYtW9p9TJVKJY/IysvLc9KZEJG7qVUSujSrjWHt66NLs9oMbnwAAxyyn06rb7mxNP1Vykyv666KjIxEx44dAfyVh2PIv+nRowcAoGvXrgD+CnB27tyJ4uJih1pvDAzdXWFhYQ7vg4iI7MMAh+x3fn/llhsjAsi/pC/nZSrm4ezZswfVq1dHhw4dAADdunUD8FeAU5X8GwAoLS3Fn3/+CQCcC4eIyI0Y4JD9bl1xbjk3MgQ4u3btQklJCQ4dOoQuXbogIECfjtalSxdIkoQrV67gzJkz2LJlC4KCguTt7JWamgqNRgMAck4PERG5HgMcsl/1GOeWc6Pu3bsjKCgIN2/exBdffIHi4mK5ewoAatasibg4/bDQlStX4vTp0+jRo4fD3UurVq0CANx9991o0qRJ1U+AiIhswgCH7Neoq360lKXpryLq68t5mZCQEHTp0gUAMH/+fABAz549jcoY8nD+8Y9/AHC8e+rEiRP48ssvAQBvvPGGQ/sgIiLHMMAh+6nU+qHgAMxOf5WQpC/nhQzdTZcvX0ZQUFClriNDHk5+fj4AxwKcTZs2oV+/figrK8O4cePw6KOPVrHWRERkD86DQ46JGwo8tsLMPDhJXjkPjkHv3r0xa9YsAMB9991XaXZiQ4ADAA0aNJBnQDZl1apVOHr0KABAo9Hg+vXrOHLkCC5dugS1Wo3p06cjKSnJBWdBRESWMMAhx8UNBVo9qB8tdeuKPuemUVevbbkx6Ny5M6pXr45bt25V6p4CgObNmyM6Ohq5ubkYMGCAxX3t2rULu3btAvDXnDeNGzfGqFGjMHHiRIfmziEioqpjgENVo1IDTXpYL+dFAgMDra7ufeWK5RFgFRfsJCIi78IcHCIiIlIctuB4seTkZCQnJxs9ptV61+zARERE3ogBjhebOnUqpk6davRYfn4+IiMjPVQjIiIi38AuKiIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhIiIixWGAQ0RERIrDAIeIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhv9K4cWNIkoQBAwZYLDdu3DhIkoRly5YZPX7gwAE89NBDiIqKQlBQEKKjo9GxY0dMnjwZZ8+edWHNiYjIHgxwyC9t3boVy5cvt2ub5cuXo3v37li/fj1atWqF0aNHo0OHDjhz5gwWL16MzMxMF9WWiIjsFeDpChB5yssvv4yBAwciOjraatnr169jypQpAICNGzdi8ODB8nMajQY7duxA48aNXVVVIiKyE1twyC+Fhobixo0bmDZtmk3ld+/ejaKiIrRr184ouAGAgIAA9OvXDy1atHBFVYmIyAEMcMgvvfPOOwCAtWvXYsOGDVbLBwYGAgAuXryI/Px8l9aNiIiqjgEOVYlWp8WRnCPYfHYzjuQcgVan9XSVbDJixAiMGDECADBlyhSrQUuXLl0QERGBGzduICEhARcuXHBHNYmIyEEMcMhh285vw4B1AzDhhwmYsWcGJvwwAQPWDcC289s8XTWbJCcno0aNGrh06RJee+01i2Vr166N5ORkqFQqHDhwAK1bt8Z7772HoqIiN9WWiIjswQCHHLLt/Da8vPNlXCm6YvR4blEuXt75sk8EObGxsVi4cCEA4IsvvsCuXbsslh8zZgx++OEHNGjQAEVFRXjzzTfRsmVL/Otf/3JHdYmIyA4McMhuWp0WSYeTICAqPWd4bP7h+T7RXTVhwgT06dMHQgg8++yzKCkpsVi+b9+++PXXXzFr1ixUr14dly5dwpgxY/DII49Y3ZaIiNyHAQ7ZLTU3tVLLTXkCAjlFOUjNTXVjrRz35ZdfIjQ0FKdOncKcOXOslg8LC8Ps2bNx6tQpPPLIIwCAdevW2Twii4iIXI8BDtntatFVp5bztCZNmsijqhYsWIC0tDSbtqtbty6++eYbObBZsmQJrl71jXMmIlI6Bjhkt6jQKKeW8wYvvvgiOnXqBI1Gg6effhpare3da3/7298AADqdDqdPn3ZVFYmIyA4McMhuHaI7ICY0BhIkk89LkBAbGosO0R3cXDPHqVQqfPXVVwgMDERqair+85//2LxtaWmp/HtUlO8EdURESsYAh+ymVqkxs9NMAKgU5Bj+P6PTDKhVarfXrSratWuHmTP151Vx+Pf69euxaNEiXL9+3ejx0tJSeYj5fffdx9mMiYi8BAMcckjfRn3xQfwHiA41XscpJjQGH8R/gL6N+nqoZlXz5ptvIi4urtLjWVlZmDJlCmJiYtCpUyc8+eSTGDlyJJo3b441a9bgjjvu4HBxhdLqBA6cuY71aZdw4Mx1aHWVRw8SkffhYpvksL6N+uKBhg8gNTcVV4uuIio0Ch2iO/hcy015QUFB+Oqrr9C9e3fodDr58X79+uGVV17BoUOHcPbsWaSlpaFatWq48847MWnSJEybNg0REREerDm5QkpGNuZszER23l9TANSNrIZZQ+KQ0LauB2tGRNZIQgjejnip5ORkJCcnGz2m1Wpx6tQp5OXlWb2glpSUICsrC02aNEG1atVcWVVyAf79PCslIxuTV6VWmu3J0Cm7aEwHBjlEHpCfn4/IyEir10G24HixqVOnYurUqUaPGf6wRL5AqxM4nHUDuQUliA6vhk5NakGtMp2c7k20OoE5GzNNTGUJCOiDnDkbM9EvLtYnzofIHzHAISKX8OXuncNZN4zqXZEAkJ1XgsNZN9ClWW33VcwGvhpUEjkbAxwicjpz3Ts5eSWYvCrV67t3cgtsW3bD1nLu4stBJZGzcRQVETmVte4dQN+9482jkaLDbct5srWcOxiCyootT4agMiUj20M1I/IMBjhE5FT2dO/Yw53DtTs1qYW6kdXMTGWpz8GpG6nv/vEGSggqiZyNXVRE5FSu6N5xd9eLWiVh1pA4TF6VCgkwChwMQc+sIXFek9viyzlDRK7CFhwicipnd+94qusloW1dLBrTAbGRxvWMjazmdTlEvpozRORKbMEhIqcydO/k5JWY7DKRoA8SbOne8fRw7YS2ddEvLtbrRyX5Ys4QkauxBYeInMrQvQOgUg6Lvd07rsrnsYdaJaFLs9oY1r4+ujSr7XXBDeB7OUNE7sAAh4iczlndO+x6sY0zg0pfw7XCyBx2URGRSzije4ddL7YzBJUVk7Fj3TgPjrsnGeS8P2QJAxwichlD946jnJnP4w88mTPk7mDD1yeTJNdjFxURea2qdL34a9eFJ3KG3D3SjfP+kC3YgkNEXs2Rrhd2XbiPJ0a6cd4fsgUDHCLyevZ0vbDrwr08EWww+ZxswQCHiHyCLfk8np43xx95Ithg8jnZgjk45FcaN24MSZLkn4CAAERHR2PAgAH45ptvjMqeO3dOLvf777+b3efOnTvlchqNxtWnQBWUz7VZti/L4/Pm+BtPBBuc94dswRYc8ku9evVC06ZNkZOTg/3792Pr1q3YunUrXnvtNcyfP9/T1SMbmcq1sQW7LpzHEyPdfG2tMPIMtuCQXxozZgyWLFmCzZs3Izs7G6NGjQIALFiwALm5uR6uHdnC3MgdW7Drwnk8NcmgL60VRp7BFhzyeyEhIZg7dy7WrFkDnU6HrKwsREdHe7paZIGlXBtLOG+Oa3hqkkFfWSuMPIMBDlWJ0GpRdPQYNFevIiAqCqH3doSkVnu6WnarXr26/HvDhg09WBOyhbWRO6aw68K1PBVsVHUySVIuBjjksPytW3Fl7jxocnLkxwJiYxHzeiIi+vf3YM3s969//QsA0K9fP9SrV8/DtSFrHMmhceeSBf6KwQZ5EwY45JD8rVtx6YUXAWHcSaC5ckX/+Ecfen2QU1hYiKysLCxduhQff/wxWrdujSVLlni6WmQDW3No/vZga9QJD2bXBZEfYoBDdhNaLa7MnVcpuNE/KQBJwpW58xDep4/XdldNnDgREydOlP//wgsvYO7cuQgNDTVZvkWLFu6qGtnA1pE747o1YVBD5KcY4JDdio4eM+qWqkQIaHJyUHT0GMI6d3JfxezQq1cvxMbG4vTp00hNTUVycjKuXr2KTz75BLVqVU5AHTVqFCIiIkzu6/Lly9i4caNL6+vuVZq9HYcJE5E1DHDIbpqrV51azhPGjBmDZ555BgBw/PhxTJ06FatXr8bBgwdx7Ngx1KhRw6j822+/jebNm5vc186dO10a4Ow5lYu3/nua6ypV4KmRO0TkGxjgkN0CoqKcWs7T7rnnHvz4449o06YNzp49i/feew9///vfPV0tAEDxbS1mb8pEdoHW6HGuq6THYcJEZA4n+iO7hd7bEQGxsYBk5iIiSQiIjUXovR3dW7EqCAsLw4gRIwAAu3fv9nBt9IQQyCsuM/3c//6dszETWp29s8Eoi2HkzrD29dGlWW0GNy5UflmMA2eu+/17j7wbW3DIbpJajZjXE/WjpSTJONn4f0FPzOuJXptgbE5RUREA/egqb1B0WwuNhQuIK1Zp9mXMU3ItU8tisKuUvBkDHHJIRP/+wEcfVp4HJybGJ+fB+fnnn/H1118DALp06eLh2uhpdTqbynFdJV58Xc2wLEbFcJtdpWTgjTcYDHDIYRH9+yO8Tx+fnMl41apVOHz4MAoLC3HhwgUcPHgQGo0GsbGx+Nvf/ubp6gEA1CrbepD9fV0lXnxdy9KyGAL6UWtzNmaiX1ysxy9o5BneeoPBAIeqRFKrvXYouCW7du3Crl27AOjXomrevDkSEhIwY8YMxMbGerh2eqFBagRYuGBwXSVefN3B2rIY7Cr1b958g8EAh/zKuXPnbC7buHFjCFOTGVYQHx9vUzl7SZKEyJBA/e/gXC+mOOPiW5WmdW9slnc2W7tA2VXqf7z9BoMBDpEXCwlSY/aQuErz4HCuF72qXnyr0rTurc3yzmZrF6i/d5X6I29v3WOAQ+TlerSMxt62DRXfUuCIqlx8q9K07s3N8s5m67IY/txV6q+8vXWP8+D4AVd0n5Drlf+7ca4X0wwXX3OvhgR9q0rFi6+1pnXA/BxDVdnWFxmWxQBQ6XVmV6l/8/bWPQY4Cqb63ygcrVZrpSR5I8PfTWXjaCp/5OjF156m9Yqqsq2vMiyLERtpfKGKjaymqNYqso+jNxjuwi4qBQsMDIRarUZxcTGqV6/u6eqQnQoKChAYGIjAwEBPV8WrObImVVWa1r29Wd5VuCwGVeTti94ywFEwSZIQGhqKvLw81KpVC2ofmJ+G9IqLi5Gfn48aNWpAMrckBsnsvfhWpWnd25vlXcnQVUpk4M2L3jLAUbjo6GicO3cO58+fR61atRAcHMwLppcSQkCr1aKgoAD5+fkIDg5GnTp1PF0tn2HPxbcqibNMuiUy5q2tewxwvFhycjKSk5ONHrM3nyYoKAgNGjTAtWvXkJ2d7czqkYsEBgaiRo0aqFOnDlvdXKQqTeve3ixP5Ane2LonCQ6x8Sn5+fmIjIxEXl4eIiIi7NpWo9FAo9G4qGbkDCqVCoGBgWxlcxPOg0Pke2y9DjLA8TFVCXCIqDLOZEzkW2y9DrKLioj8jrMCE29sliciPQY4RKRYpgKZHzNz2LVE5AcY4BCRIpnKkakRGog/i8oqlVXiEgtE/o5TpBKR4hjWiqo447Cp4AZQ5hILRP6OAQ4RKYqltaIsUeISC0T+jF1URKQo1taKskZpSywQeYqnRxkywCEip/D0l5lBVQMUJS6xQORu3jBPFAMcIqoyb/gyM3A0QOESC0TOYciBq9hN7O5kfubgEFGVmEvozf7fl1lKhnuXCDGsFWVP2xGXWCCyjVYncODMdaxPu4QDZ65XSsq3lAPn7mR+tuAQkcOsJfQK6L/M+sXFui1wsLZWlEDl4eLesPIxkbezpaXWWg5c+WR+V0+SyQCHiBxmS0Kvu77MyktoWxeLxnSo9GVsCGS8ceVjIm9ma7eTrTlw7kjmZ4BDRA7LySt2ajlnSmhb12IgwyUWyBHekkzvTta6nST81VJraw6cO5L5GeAQkcNuFN52ajln41pR5EzelEzvTvZ0Oxly4HLySkwGRO5M5meSMRE5rFb1YKeWI/9mLYHVk8wl0+d4KJnenezpdjLkwAGolOjv7mR+tuAQkcNiI2xrZra1HPkvb24dsaeLRondVfZ2O1nLgeM8OETk9QzN0Zaar+v60Nwyrs6v8Mf8DVt4y7wp5njTyCBPcKTbyVoOnDswwCEih5Ufkg1UHpIN+M7cMq5uQfDmFgpP8oXWEW8aGeQJ1qZeAEx/zj2dA8ccHCKqEkNzdGykcTN2bGQ1j99528rV+RX+nL9hjT2tI57iTSODPMUXP+dswSGiKvOG5mhHuboFwRdaKDzJF1pHvGlkkCf52uecAQ4ROYWnm6Md5er8Cn/P37DGF1pHHO2iUSJf+pyzi4qI/JqrWxB8oYXCk6ytHSbBOxLVfbGLxt+xBYeI/JqrWxDs3b+/jbTypdYRX+ui8XcMcIjIr7k6v8Ke/fvrSCtvmTfFFr7URePvJCGE90wVSVbl5+cjMjISeXl5iIiI8HR1iBTBMMoJMN2CUNUuCFv2D8DkXDDOqoMv8LfWK3KMrddB5uAQkd9zdX6Ftf33i4u1ONIK0I+08qalC1zB0DoyrH19dGlWm8ENVQm7qIjI47zhzt3V+RWW9n/gzHW3j7TyhtfcHfzlPKkyBjhE5FHelHfi6vwKc/t390grb3rNXclfzpNMYxcVEXkMZ/jVc+dcMP7ymvvLeZJ5DHCIyCOszfAL+EfeCeC+uWD85TX3l/MkyxjgEJFH+MIaRI7S6gQOnLmO9WmXcODMdasXUsNcMAAqBTnOnAvGntfc3nPwJkp+b5HtmINDRB6h1Bl+Hc37cMdcMLa+ltsyc/Dy2jSfzV1R6nuL7MMAh4g8whfWILKXIe+jYluHIe/D2pBzV4/ksvW1/Oe+c5Ues/UcvIES31tkP3ZREZFH+MoaRLZyVt6HK+eCseU1N3e4iufgzV1YSntvkWMY4BCRR7gr78RdfCHvw9prLgBYilMM5/Dp9t/Rff52jPryIF74Og2jvjyI7vO3e83IJKW9t8gxDHCIyGOUtEKzr+R9WHrNJ3RrbNM+/rHtlNcPv1bSe4scwxwcIvIopazQ7Et5H+Ze88NZN7DERP6NLQT0rSNzNmaiX1ysV/z9lPLeIscwwCEij1PCCs2uXpXc2Uy95tbOwRpXLClRVUp4b5Fj2EVFROQESsj7sOUcbOHpbjgigAEOEZHTKCHvw9I5vNS3hU37iA4LBLL2AOnf6v/VaV1RVSKLJCGE94ztI6vy8/MRGRmJvLw8REREeLo65KO4wrJrKeH1NXUOANB9/naL3XCPV0/DvNBVkPIv//VERD0gYT4QN9QtdSdls/U6yADHxzDAoariCstUFYbJDAEYBTkSgAGqw1gU9BGkSuHP/4K7x1Z4fZCjhOBU6RjgKBQDHKoKczPtGr6+faUbhTzLVJBcPyIQ29TTEFKcY2YrSd+S82I6oFK7p6J2YvDvGxjgKBQDHHKUVifQff52s5PRGUb57J3Rm3esZFWllg7pF6hXDLG+4VObgCY9XF9BO20+kY0pq1MrPc7g3/vYeh3kMHEiP2HPTLuODKtl075/qTT8Oj3Xtg1vXXFNhapg84nLeH7NcZPPeeP8Pp7ia59xBjhEfsKVM+2yaZ9QPcY55XRa4Px+fSBUPQZo1NWlXVopGdmYstp0cGPgjfP7uJsvfsY5TJzIT7hqpl1DXo+3T91PLtaoqz7HxtISlxH19eXMydwAfNgWWD4YWPe0/t8P2+ofdwHDAqm28tf5fXz1M84Ah8hPuGKFZWetoE0KoFLrh4IDMDtNYEKS+daYzA3A2ieB8sPLASA/W/+4C4Ica922FXnDMhvu5sufcQY4RH7CFTPt+sIK2uQcWp3AgTPXsT7tEg6cuW76ghY3VD8UPKJCl0VEPctDxHVaIGUGYOkymjLT6RMG2tMiY2/wrxS+/BlnDg6RHzHMUluxLz3Wwb50X1lBWwk8meBpV/5F3FCg1YP25dGc31+55caIAPIv6cs5cQSWPS0y3r7Mhqv48mecAQ6Rn3HmCsu+tIK2L/Nkgqe5uZMM+Rcmh0+r1PYFIraOrHLyCCxbFhdVScCno/x3iLgvf8bZRUVURTY13XsZwxDfYe3ro0uz2g7fmboir4eMeTLB05b8ize+y8B3qX9U7b3vrBFYdrLUbWvw6ah7MOgu/wxuAN/+jDPAIaqClIxsdJ+/HaO+PIgXvk7DqC8Povv87V47qsDZlLCCtjfzdIKnLfkX1wtv46W1P1ftve+MEVgOMre4aN3Ialg8pgMG3VXP6cf0Jb78GedMxj6GMxl7D0eXPfD0ZFmuOL4vzpHhCw6cuY5RXx60Wm7NxPtdMj/L+rRLeOHrNJvLV2nWX8MoKgCVV7mCy9ex8vTn0tt502ecMxkTuZC1O2tzM596+kvCVcd3Zl4P/cXTCZ725lWUf++HBwfiWmGp7e8FwwislBnGCccR9fTDy128SGelmZnJiC9+xhngEDnAkWUPHErWdCJXH58XCOfzdIKnLUm4FRne+6P/eUh+zOYg2pERWOQ2vvYZZw4OkQPsvbN2dy5FxcTn2xqdz07W5c88neBpSxKuLexKiDaMwGr3iP5fBjfkILbgEDnA3jtrVy90WZ6pbqhaYUG4UXjbLccn5zEEGJNXpUKCycwUlyd4mps7yR5csJI8gS04LpaVlYWSEu+bAImqxt47a3flUpgbUmwpuHHm8cn5zI3yiY2s5vJuzfJ12DujN9ZMvB//eLw9aoUF2r0Pb57xlpSJLTgusHfvXqxatQrbtm3DmTNnkJWVhcaNG3u6WuRE9t5ZuyOXwlI3mK28cbIu8o4Ez/L5FyGBKkxelQrA9OIKljCIJndhC44LbNq0CUVFReja1flzNpD3sOfO2h25FPYuHOjs45NrOWtyRmcw9963BYNoche24LhAUlISAGDZsmVYuXKlh2tDrmTrnbU7cikcvTP29sm6yDtVfO/XqR6MV9am4Up+qclWHQn64J9BNLmLYlpwrl69igMHDni6GuSHbL2zdnUuha13xhXzJ9yZy0HKUv693615Hcwe2gaAZ2a89cUlU8i1fLYFJzc3Fzt37sTOnTuxa9cuZGZmolevXti5c6fVbTdv3owFCxbg2LFjAICOHTti+vTpGDhwoItrTf7OlbkU1uYsMdxB75r+AI6dv+kzk3WRd6s4A3DyE/fgnf+edMpq9bby9ASa5J18NsB57bXXsHz5cqhUKtSpU8fm7ZKSkpCYmIjw8HAkJCQAAFJSUjBo0CAkJSVhxowZrqoyEQDXTZZlazdYUICKQ8HJKcwFFn97MA41w4LcEkR7egJN8l4+20X10EMPYf369bh27Rrmz59v0zY7duzA66+/jgYNGiAjIwNr167F2rVr8csvv6Bhw4ZITEzEjh07jLbRaDS4deuWxZ/S0lJXnCKR3bxhSDH5B0urnE9dnYqb/1umIbdAPzTcFV1Gnl6MlLybz7bgPPTQQ3ZvM3PmTAghkJSUhDvuuEN+vGHDhkhKSsLo0aORmJiIgwf/Wtzu66+/xtixYy3u96mnnsKyZcvsrg+RK3jDkGJH+duCh756vrYEFs+vOY7ycYUruozcOYEm+R6fDXDsderUKRw+fBhBQUEYMWJEpeeHDx+OoKAgHDp0CKdOnULLli0BAI8++qjclWVOtWoc9kjexdfWjAH8L4/Cl8/XlikJKjaauKLLyNOLkZJ389kuKnvt2bMHABAXF4eQkJBKz4eEhCAuTr/myt69e+XHg4ODUadOHYs/1atXd89JECmUpe4Om9cw8iFef746LZC1B0j/Vv+vTmv0tCMBgyu6jDy9GCl5N79pwfntt98AAA0aNDBbpkGDBkhLS5PLOurcuXO4du0azp07BwBIT0/HtWvX0KRJE9SubfquurS01KZcnvz8/CrVjcjbWOvuUNoaRl5/vpkbgJQZQP7lvx6LqAckzNev9g3HAwZndxnZOnKQc+84xle7UA38JsDJy8sDAIutLWFhYUZlHTV79mwsX75c/v/QofovhaVLl2LcuHEmt5k3bx7mzJlTpeMS+SJ/y6Pw6vPN3ACsfRKVFmDIz9Y//tgKIG6o1cDCGmd1GXnDYqRK5ctdqAZ+00VlIIT5j6Ol5+yxbNkyCCEq/ZgLbgAgMTEReXl5Vn8uXrzolDr6Mk7opSz+lkfhteer0+pbbiylDqfMBHRaObAAKk/qZwtndhlx5KDzeX0Xqo38pgWnRo0aAIDCwkKzZQoKCozKulNwcDCCg4Pdflxfo4S7CjJm68Xu3LUiF9fEPdyVN2J398L5/cbdUpUIIP+SvlyTHnJgUfHzqJIqJxgbuKrLyNLIQV/vZnE3r+9CtYPfBDitWrUCAIstIBcuXDAqS95FaRN68YtXr1OTWoiNCEZOvuUctK+PXMDzvZv7/GvkjrwRh24Ebl2xbeflypkKLG4W3sbU1ZVXGnd1l5GpkYO8IbKfV3eh2slvuqh69OgBADh58iSKi4srPX/r1i05ubhbt25urRtZp7QJvVIystF9/naM+vIgXvg6DaO+PIju87f7TNOvM6lVEkZ1usNqOcOXqq+z1L3jjCDA4e6F6jG2HaBCuYprsQ26yzu6jJTSzeJuXtuF6gC/CXCaN2+OLl264Pbt2/juu+8qPb927VpoNBp07twZLVq08EANyRJ77iq8Hb94K2tcJ8ymcr7wpWoLV+WNVOlGoFFX/Wgps1k1EhBRX1/OioS2dbF3Rm+smXg/PhrZHmsm3o+9M3q7LbhR2g2ROylp6L3fdFEBwNy5c9G7d28kJiaiV69eqF+/PgAgKysLb7zxBiRJwrx58zxcSzJFKXcVSurfdiYlfanayhUzTlepe0Gl1g8FX/skYG5MUkKSvpwNPDnZpJK6WdxNSUPvfTbAWb58OQ4cOADgrzluTp06hUmTJsllFi9ebLRNfHw85s2bh5kzZ6JNmzYYOHAgNBoNtmzZgsLCQsyfPx8PPPCA+06CbKaUCyC/eE1T0peqPZwdBFT5RiBuqH4ouMl5cJLkeXC8nVJuiDxBSUPvfTbA2bFjh9FcMwCQnZ2Nzz//XP5/xQAHAGbMmIG2bdvi/fffx6ZNm6BWq3H//fdj+vTpGDBggMvrTY5RygWQX7ymKelL1ZOcciMQNxRo9aB+tNStK/qcm0ZdbW658QZKuSHyFHMj5GJ9LEFbEs6a/IXcIj8/H5GRkcjLy0NERISnq+NWhtwVwPQF0BdGUR04cx2jvjxotdyaiff7VQuOAUe9VI1WJ9B9/narNwJ7Z/RWdLDI18E5vHWkp63XQae14Jw9exZNmzZ11u4IQHJyMpKTk40e02q1ZkornxLuKpTSEuUqvrwSujdgS5geXwfn8MVFe8tzWguOWq3GO++8g9dff90ZuyMz/LkFx8Bb7ypspYSWKPJubAnT4+ugTG5vwRFCQKPRGD22ZMkS7N+/H1999ZWzDkPk83cVSmiJIu/GljA9vg7+zaVJxhcvXsTSpUtNBjjvv/8+NmzYgL1797qyCkReiV+8RO7h6zdE5DiPjaIqLi6Wh3kT+SNnfPH6encduQa7Zoh8eJg4kb9zx0VMaQGU0s7HFKWt2UbkKAY4RD7IHRcxpbUCKO18TOFM2UR/8Zu1qIiUwh3r7ChtvSylnY85SlqzjRyk0wJZe4D0b/X/6vx3ahGntuAsWrQIv/zyC+69917ce++9yM/Pd+buiQiuX+5Baa0ASjsfSzhTtp/L3GBmmY35PrPMhjM5LcBp27Ytfv31V3zzzTf45ptvIEl/fVGMHj0abdu2xV133YW77roLDRs2dNZhifyOqy9iSlsvS2nnYwmXKPBjmRv+t1BqhVA+P1v/+GMr/C7IcVqAc+LECZSWluLnn39Gamoqjh07htTUVGRkZGDNmjUAIAc9kZGRCAkJcdahifyKqy9iSmsFUNr5WMKZsv2UTqtvubHUTpkyU7/GmJ1rivlyYr7dAY5Op4NKZTp1Jzg4GJ06dUKnTp3kx8rKynDixAmjoCc9PR1//vmnUSsPEdnG1RcxpbUCKO18LOESBX7q/H7jbqlKBJB/SV+uSQ+bd+vrifl2JxlHRESgd+/eyM62LSkvMDAQHTt2xMSJE7F48WIcPnwYBQUFOH78OL788ku7K+xPkpOTERcXZ/Rz3333ebpa5GGGixjw10XLwBkXMUMAZW5rCfovOV9pBVDa+VhjmCk7NtI4YIuNrMYh4kp164pzy0EZifl2r0WlUqkgSRLS09MRFxfnqnqRGVyLigxceXeltPWylHY+tvDlrgVv4/WvZdYeYPlg6+We2mRTC45hNXZzuWueXo3d1uugwwHO8OHD0a1bNzlxOCoqyuJ2b775JmJiYjBt2jR7DkcVMMCh8lz5xevrzdMVKe18yD184n2j0wIfttUnFJvruI6oB7yYblMOzoEz1zHqy4NWy62ZeL9HEvNdHuBUFBUVhbvuugvt2rWTg564uDgEBwcDALp06YILFy7g0qVLdp4KlccAh9zJ6+9c7aS08yHXMjehple2/MmjqACT7ZR2jKJan3YJL3ydZrXcRyPbY1j7+nZV0xlcvpp49erVUVBQIP8/NzcXP/30E3766Sf5MbVajUaNGgEAzpw5g8DAQEcPR2QRL1yuobSFCn35fPgedy+fmz8pbqg+iDE5D06SXUPElZKY73CAc+DAAURGRiItLQ0///wz0tLSkJaWhjNnzsDQKKTRaHDmzBl5m/r13R/pkfL5RBMyUXk6rX5Ey60rQPUYoFFXi10HfI+7n0/OnxQ3VD8U3I73lilKmW6gSvPg1K9fH/Xr18eDDz4oP1ZYWIgTJ04gLS0NJ06cwK+//orc3FxERkbirbfeqnKFicrjwoLkc+ycbZbvcc/w2fmTVGq7hoKbopTpBpy+2GZYWBi6dOmCLl26OHvXREZ8rgmZyM7ZZo3f4zqoQ7MgBRRAaMKhLWoCCSqXv8f9tWtMKd00jjJMN1Cx5TDWh1oOuZo4+SyfbEK2wF8vJH7DgdlmDe/xgPAMBMdshCow76/dlUWi9MoQZOe1ddl73J+7xpTSTVMVCW3rol9crM9+LzHAIZ/ls03IJvjzhcRv2Drb7KHFQOdJgEqN3AJ9cFOt/qpKpaWAPFSrvwoll8Ygt6C906vr711jSummqSpfTsy3eyZjg2XLlmHLli0c9k1Op9UJHDhzHevTLuHAmevQ6kzPZKCUJmQlzBhKNrB1FtkfXtfPaZK5AXWqByI4ZiMAoOLsHIb/B8dsRJ3qzh2haq37F9B3/5r7bCoFZ4X2bQ634CxcuBALFy4EANSoUcNo/pu77roLbdu2RWhoqNMqSv7BnpYMJTQhM4/Ij1SPsb3s/3Jy1ANmGXVLVSRJgBSYB3XoOQDRVa6igdK6f6vC17tp/JnDAU75+QFv3ryJ3bt3Y8+ePfJjkiShSZMmlSb/a968edVqTIplb5O4EpqQeSHxI4266kdLmZ1ttjx9eHvj2FdAuPWG9hsl15xRQ5mSun+dwZe7afyZwwHOzp07odPpcOLECaSnp+PEiRP45ZdfUFRUBEAfAJ05cwZnz57F999/D0Af9Gg0GqdUnJTF0ZYMX8/054XEj6jU+qHga58EKoXkpghE3boKhFtv+YkKtbxUjr2U0v1L/s3uAGfy5Mk4ePAgYmJicOeddyI+Pl5+TgiB33//XQ54DMHP2bNnYeeKEAT9auLJyclGj2m1Wg/VxrWq0pLhy03IvJD4GXOzzZrRoaQUMYERyC0rgDAREEmQEBMagw7RHZxaTSV0/xLZvRaVI4qKipCeno709HQ888wzrj6coil1LSpvX/vEVQyr9lq7kHhq1V5yEZ1WP1rqh9etFt324Dt4OfMrADAKcqT/dcR+EP8B+jbq6/Qq+uMK7OQbbL0OOjyKyh6hoaHo3Lkzgxsyy19bMgx5RMBfFw4DX8kjIgeo1Pqh4BH1UPkvbyABEfXRt+NUfBD/AaJDjZOIY0JjXBbcABxBRL7PLS045DxKbcHx95YMzoPjp+xYAVqr0yI1NxVXi64iKjQKHaI7QG3nGkOO4ASU5G1svQ4ywPExSg1wADaJ80Lip0yuTVXf7hWgifwFAxyFUnKAA7Alwxsx8HIDO1cXJ/JnDHAUSukBDsALqjdhwElE3oYBjkL5Q4BD5rkz+DM38aK/dBkSkXey9TrIxTaJfIQ7W1O4hAQR+Tq3DBMn72br4pbkOe5ekNOeiReJiLwRW3D8HHMsvJ8nWlP8bgkJNyX5Mr+MyH0Y4Pgxexe3JM/wxIKcfjXxoslh2vX060Y5cZg2byaI3ItdVH7KWqsAoG8VYHeV53miNcWwFpGFOXZRVwlrERkm2qu4LlR+tv7xzA1OOYy7uxiJiAGO32KOhe/wRGuKXywhodPqW24shfkpM/XlqoA3E0SewQDHT/ldjoUP81RriuLXIjq/38qK3gLIv6QvVwXuuJngQAGiypiD46f8KsfCxxlaUyavSoUE08tYuKo1JaFtXfSLi1VmYuytK84tZ4arbyaY20NkGgMcL5acnIzk5GSjx7TaqjWXGxhaBawtbunzORYKYWhNqXghi3XDhUytkpyWvOxVqsc4t5wZrryZ4EABIvM4k7GPceZMxv6+uKUv4jBjJ9JpgQ/b6hOKzYX5EfWAF9OrNGRcqxPoPn+71ZuJvTN62/W3NOzXXPeXo/sl8na2XgeZg+PHFJ9joUCG1pRh7eujS7PavHBVhUqtHwoOwGwqdUJSlefDcVXCNgcKEFnGLio/p+gcCyJr4oYCj60wMw9OktPmwXFFFyMHChBZxgCHlJtjQWSLuKFAqwddPpOxs28mOFCAyDIGOEREKjXQpIfLD+PMmwkOFCCyjDk4REQ+yC8mYySqAgY4REQ+igMFiMxjFxURkQ/z5oECnNaAPIkBDhGRj/PGgQKcYZk8jV1URETkVLauns41tMiV2IJDREROY231dAn61dN1OoF3/nuSLTzkMmzBISLyECW2YNg6w/KU1cettvAQVQVbcIiIPECpOSpVmTm5fAtPv7hYJiRTlbAFh4jIzWzNUfFFVZ05mWtokbMwwCFyISV2QVDV3Nbo8Pp36WZzVAB9C4avvlcMMyxXte2Fa2hRVbGLishFlNoFQY5LycjG699l4EZhmdky5VswvG3oty0MMyxPXpUKCTAK5Cr+3xKuoUVVxRYcIhdQchcEOcbwnrhReNum8r7cgmFphuXPnuhgsYVHgv5GgGtoUVWxBYfIyWwdJsskSv9h6T1hjq+3YFiaYVmlgtkWHoBraJFzMMDxYsnJyUhOTjZ6TKvVeqg2ZCtbh8n6ahcE2c/ae6I8Ja0Cbm6GZUMLT8Uu3Fh24ZITMcDxYlOnTsXUqVONHsvPz0dkZKSHakS2sLVrwZe7IMg+9v6t/aEFw5vX0CJlYIBD5GS2di34ehcE2e7ctSKbytUKC8Tc4e38pgXDG9fQIuVggEPkZIZhsjl5JSZzLpTUBUHWpWRk48Ntp6yWqx0WhAOJfRAUwLEfRM7ATxKRkxmGyQKoNFKESZQKoNMCWXuA9G/1/+rM58XZk1z83vC2DG6InIgtOEQuwCRKhcrcAKTMAPIv//VYRD0gYT4QN7RScVuTi1/q24LvCSInY4BD5CJMolSYzA3A2idRaaq6/Gz944+tqBTk2Jpc3LhOmJMqSUQGDHD8mFYnePF1MSZRKoROq2+5sTS7UcpMoNWDgEotP8OEcyLPYYDjp7iMAJEdzu837paqRAD5l/TlmvSQH2XCOZHnMKPND3EZASI73briUDkmnBN5DgMcP2NtGQHAt1cyVhw7RuyQC1WPcbicpXWZFo3pwBZTIhdhF5Wf4TICPsTOETvkQo266l/7/GyYzsOR9M836mpycyacE7kfAxw/w2UEfIQDI3bIObQ6LVJzU3G16CqiQqPQIboD1Cq1PrBc+yRgbonIhCSjBOOKmHBO5F4McPwMR3X4AAdH7Pg1nVaf4Hvrir6bqFFXh16bbee3IelwEq4U/ZVLExMag5mdZqJv3FB9YGmyVS2JASeRl2GA42c4qsMHODhix285qStv2/lteHnnyxAVPhm5Rbl4eefL+CD+A32Q0+pBpwRTRORaTDL2MxzV4QMcHLHjUZ5KhjZ05VUMCA1deZkbbNqNVqdF0uGkSsENAPmx+YfnQ6vT6oOZJj2Ado/o//WB4EarEzhw5jrWp13CgTPXOYiA/AJbcPwQlxHwclUYseMRnkqGdmJXXmpuqlG3VOW9CeQU5SA1NxX3xd5XpWq7G+e8In/FAMdPcVSHF6viiB238mQytBO78q4WXbXpkLaW8xaGOa8qvosMc15xmDopGbuo/JhhVMew9vXRpVltBjfewjBiB4DZjkQrI3ZsUtVuJastKNC3oLiqu8qJXXlRoVE27crWct6Ac16Rv2OAQ+SNDCN2IircXUfUc06rSOYG4MO2wPLBwLqn9f9+2NbmnBUA9rWguIKNXXSHr1pvqO4Q3QExoTGQKgWUehIkxIbGokN0B7uq6En2zHlFpEQMcIi8VdxQ4MUM4KlNwMP/1P/7YrpzghsnJOZ6PBm6UVeIiHrQmXlaJ4BrIgKvHAi22kqhVqkxs9NMAKgU5Bj+P6PTDP18OD6Cc16Rv2OAQ+TNnD1ix5ndSp5OhlapceqeNwGhD2YqPS0BdaR8/Pv2FPy+a7XV3fVt1BcfxH+A6NBoo8djQmP0Q8Qb9XVWzd2Cc16Rv2OSMZE/ceYcO16QDP1rzXh8UPYiZgWuQD2Y7mqJxQ3U3TUViAm32vrVt1FfPNDwAdMzGfsYznlF/o4BjhdLTk5GcnKy0WNaLRdbpCpwZreSE5YvqKro8Gr4QdcJP5V2wKHgqYhEAY6HBOOqWo0orRYdSkqhlv5XMxuHjKtVap8bCm6KYc6ryatSzf11OOcVKZokhGAKvQ/Jz89HZGQk8vLyEBER4enqkK/J2qNPKLbmqU22z5Jsch6c+m5ZvkCrE+g+fzsaFaTimRoLkVS7Jq4E/HXfFqPRYOb1m+hbVKx/wJ7zUgjOg0NKY+t1kAGOj2GAQ1Wi0+pHS1nrVnox3b6WFyetBeWIlIxsLN/wOn6pd0R/RtJfLRLS/77ePsi9pg9yHv6nPp/Jz2h1gnNekWLYeh1kFxWRP3FVt5IhGdoD+sVFY27aKQgNjIIbABCSBEkIzK9dEw8UFUPtLbM/uxlXMid/xFFURP7G1XPsuFlqbipuavMrBTcGQpKQExCA1Fr1vWP2ZyJyC7bgEPkjBa2KbfMyC/eM8snzIyLHMMAh8lce7FZyJpuXWWiR4OKaEJE3YRcVEfk0JS6zQERVxwCHiHyaEpdZIKKqY4BDRD5PacssEFHVMQeHiBRBScssEFHVMcAhIsVQyjILRFR17KIiIiIixWGAQ0RERIrDAIeIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhIiIixWGAQ0RERIrDAIeIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhIiIixQnwdAXIvOTkZCQnJxs9ptVqPVQbIiIi3yEJIYSnK0G2y8/PR2RkJPLy8hAREeHp6hAREbmVrddBdlERERGR4jDAISIiIsVhgENERESKwwCHiIiIFIcBDhERESkOAxwiIiJSHAY4REREpDgMcIiIiEhxGOAQERGR4jDAISIiIsVhgENERESKwwCHiIiIFIcBDhERESkOAxwiIiJSHAY4REREpDgMcIiIiEhxGOAQERGR4jDAISIiIsVhgENERESKwwCHiIiIFIcBDhERESkOAxwiIiJSHAY4REREpDgMcIiIiEhxGOAQERGR4jDAISIiIsVhgENERESKwwCHiIiIFIcBDhERESkOAxwiIiJSHAY4REREpDgMcIiIiEhxGOAQERGR4jDAISIiIsVhgENERESKwwCHiIiIFIcBDhERESkOAxwiIiJSHAY4REREpDgMcIiIiEhxAjxdATIvOTkZycnJRo9ptVoP1YaIiMh3SEII4elKkO3y8/MRGRmJvLw8REREeLo6REREbmXrdZBdVERERKQ47KIiIq+m1QkczrqB3IISRIdXQ6cmtaBWSZ6uFhF5OQY4ROS1UjKyMWdjJrLzSuTH6kZWw6whcUhoW9eDNSMib8cuKiLySikZ2Zi8KtUouAGAnLwSTF6VipSMbA/VjIh8AQMcIvI6Wp3AnI2ZMDUCwvDYnI2Z0Oo4RoKITGOAQ0Re53DWjUotN+UJANl5JTicdcN9lSIin8IAh4i8Tm6B+eDGkXJE5H8Y4BCR14kOr+bUckTkfxjgEJHX6dSkFupGVoO5weAS9KOpOjWp5c5qEZEPYYBDRF5HrZIwa0gcAFQKcgz/nzUkjvPhEJFZDHCIyCsltK2LRWM6IDbSuBsqNrIaFo3pwHlwiMgiTvRHRF4roW1d9IuL5UzGRGQ3BjhE5NXUKgldmtX2dDWIyMewi4qIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhIiIixWGAQ0RERIrDAIeIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhIiIixWGAQ0RERIrDAIeIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhIiIixWGAQ0RERIrDAIeIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhIiIixWGAQ0RERIrDAIeIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMAhIiIixWGAQ0RERIrDAIeIiIgUhwEOERERKQ4DHCIiIlIcBjhERESkOAxwiIiISHEY4BAREZHiMMBxsl9//RVPP/00mjRpgtDQUMTFxeGzzz6DEMLTVSMiIvIbAZ6ugNJs2LAB165dw3vvvYd69eph3bp1mDp1KkpLS/HSSy95unpERER+QRJsWnCq27dvIygoyOixHj16ICcnB6dPn67y/vPz8xEZGYm8vDxERERUeX9ERES+xNbroGK6qK5evYoDBw54uhqVghsAaNGiBS5duuSB2hARUXlCq0XhocPI2/RfFB46DKHVerpK5CI+G+Dk5uZi7dq1mDJlCtq0aYPo6GgkJibatO3mzZvRu3dvREZGIjIyEr1798aWLVtcVtdDhw7hrrvuctn+iYjIuvytW/F7n7648NRTuPzqq7jw1FP4vU9f5G/d6umqkQv4bA7Oa6+9huXLl0OlUqFOnTo2b5eUlITExESEh4cjISEBAJCSkoJBgwYhKSkJM2bMcGo9v/jiC5w8edKlARQREVmWv3UrLr3wIlAhK0Nz5Yr+8Y8+RET//h6pG7mGz+bgfP/991CpVOjRowfWr1+P8ePHo1evXti5c6fZbXbs2IE+ffqgfv362LdvH+644w4AwMWLF9GtWzf88ccf+Omnn/DAAw/I22g0GpSUlFisS2BgIIKDgys9vmHDBjz66KNYuHAhnn/+ecdOtALm4BAR2Udotfi9T19ocnJMF5AkBMTEoPlP2yCp1e6tHNlN8Tk4Dz30EIYOHYqaNWvavM3MmTMhhEBSUpIc3ABAw4YNkZSUBCFEpW6ur7/+GuHh4RZ/nnvuuUrH+uabb/DYY4/hs88+c1pwQ0RE9is6esx8cAMAQkCTk4Oio8fcVylyOZ/torLXqVOncPjwYQQFBWHEiBGVnh8+fDiCgoJw6NAhnDp1Ci1btgQAPProo3JXljnVqlUz+v+2bdswevRofP755xg/frzzToKIiOymuXrVqeXIN/hNgLNnzx4AQFxcHEJCQio9HxISgri4OKSlpWHv3r1ygBMcHGyy+8mcnJwcjBw5EmPHjrUruCktLUVpaanVcvn5+Tbvk4iIgICoKKeWI9/gNwHOb7/9BgBo0KCB2TINGjRAWlqaXNYRc+bMwfXr19GnTx8cPXpUfjw4OBjt2rUzu928efMwZ84ch49LRESmhd7bEQGxsdBcuVIpyRiAnIMTem9H91eOXMZvApy8vDwAQPXq1c2WCQsLMyrriJMnTwIARo8ebfR4o0aNcO7cObPbJSYm4uWXX7a6//z8fDRs2NDh+hER+RtJrUbM64n60VKSZBzkSBIAIOb1RCYYK4zfBDgGlgaNOWNAmaVRXJbY2xVGRES2i+jfH/joQ1yZO88o4TggJgYxrydyiLgC+U2AU6NGDQBAYWGh2TIFBQVGZYmISDki+vdHeJ8++lFVV68iICoKofd2ZMuNQvlNgNOqVSsA+jlvzLlw4YJRWSIiUhZJrUZY506erga5gc/Og2OvHj16ANDnyBQXF1d6/tatW3Jycbdu3dxaNyIiInIuvwlwmjdvji5duuD27dv47rvvKj2/du1aaDQadO7cGS1atPBADYmIiMhZ/CbAAYC5c+dCkiQkJiYare6dlZWFN954A5IkYd68eR6sIRERETmDz+bgLF++HAcOHADw1xw3p06dwqRJk+QyixcvNtomPj4e8+bNw8yZM9GmTRsMHDgQGo0GW7ZsQWFhIebPn2+0DhURERH5Jp9dbHPcuHFYvny5xTLmTu2///0v3n//faSmpkKtVuPee+/F9OnTMWDAAFdU1am42CYREfkzW6+DPhvg+CsGOERE5M9svQ76bBeVP0hOTkZycrLRY1qt1kO1ISIi8h1swfExbMEhIiJ/Zut10K9GUREREZF/YIBDREREisMAh4iIiBSHAQ4REREpDgMcIiIiUhwOE/cxhkFv+fn5Hq4JERGR+xmuf9YGgTPA8TEFBQUAgIYNG3q4JkRERJ5TUFCAyMhIs89zHhwfo9PpcPnyZYSHh6NTp044cuSIx+py3333ufT4rti/M/ZZlX04sq2t2+Tn56Nhw4a4ePEi50iyg6vfx67g6Tq74/jOPoaz9ufoflz52Qf86/MvhEBBQQHq1asHlcp8pg1bcHyMSqVCgwYNAABqtdqjb2RXH98V+3fGPquyD0e2tXebiIgIxX/BOZOnP0eO8HSd3XF8Zx/DWftzdD/u+OwD/vP5t9RyY8AkYyIiIlIcBjhERESkOAxwiIiISHEY4PiwqVOnKvr4rti/M/ZZlX04sq2n/85K54uvr6fr7I7jO/sYztqfo/vhZ9/9OIqKSCG40jyR/+LnvzK24BAREZHiMMAhIiIixWGAQ0RERIrDAIdIIYKDgzFr1iwEBwd7uipE5Gb8/FfGJGMiIiJSHLbgEBERkeIwwCEiIiLFYYBDRACArKwslJSUeLoaREROwQCHyI/t3bsXkyZNQvPmzdG0aVPk5OR4ukpERE7BAIfIj23atAlFRUXo2rWrp6tCRG7066+/4umnn0aTJk0QGhqKuLg4fPbZZ1DSuCMGOER+LCkpCStWrEDv3r09XRUicqMNGzbg2rVreO+997B582b06dMHU6dOxYcffujpqjkNh4kTebmrV6/i999/R5cuXVx2jGXLlmH8+PHIyspC48aNXXYcIvIOt2/fRlBQkNFjPXr0QE5ODk6fPu2hWjkXW3CIvExubi7Wrl2LKVOmoE2bNoiOjkZiYqJN227evBm9e/dGZGQkIiMj0bt3b2zZssXFNSYiV7l69SoOHDjg9P1WDG4AoEWLFrh06ZLTj+UpDHCIvMxrr72Gxx9/HJ9//jmuXbtm83ZJSUl48MEHcfToUQwYMAADBgzA0aNHMWjQIMyfP9+FNSYiZ/HkDc6hQ4dw1113OVp1rxPg6QoQkbGHHnoII0aMQI8ePbB+/XqMHz/e6jY7duzA66+/jgYNGmDfvn244447AAAXL15Et27dkJiYiE6dOuGBBx5wdfWJqApee+01LF++HCqVCnXq1LF5u6SkJCQmJiI8PBwJCQkAgJSUFAwaNAhJSUmYMWOGxe2/+OILnDx5UlEtvmzBIfIyDz30EIYOHYqaNWvavM3MmTMhhEBSUpIc3ABAw4YNkZSUBCGEzXeBROQ5Dz30ENavX49r167Z3PJa/gYnIyMDa9euxdq1a/HLL7+gYcOGSExMxI4dO8xuv2HDBkybNg0ff/wxBgwY4KxT8TgGOEQ+7tSpUzh8+DCCgoIwYsSISs8PHz4cQUFBOHToEE6dOuWBGhKRrdx9g/PNN9/gsccew2effYbnn3++yvX3JgxwiHzcnj17AABxcXEICQmp9HxISAji4uIA6Cf2IyLlqMoNzrZt2zB69GgsWrQITz/9tLuq7DYMcIh83G+//QYAaNCggdkyhucMZQ3OnTuHo0eP4ty5cwCA9PR0HD16FNevX3dNZYnIqRy9wcnJycHIkSMxduxYm/L8fBGTjIl8XF5eHgCgevXqZsuEhYUZlTWYPXs2li9fLv9/6NChAIClS5di3LhxTq4pETmbrTc4aWlpRjc4c+bMwfXr19GnTx8cPXpUfjw4OBjt2rVzXYXdiAEOkUJYmrPT3HPLli3DsmXLXFQjInI1R29wTp48CQAYPXq0UdlGjRrJLbq+jgEOkY+rUaMGAKCwsNBsmYKCAqOyRKQs9t7g7Ny504W18Q7MwSHyca1atQKgn/PGnAsXLhiVJSJl4A2OeQxwiHxcjx49AOibnIuLiys9f+vWLbnvvVu3bm6tGxG5Fm9wzGOAQ+Tjmjdvji5duuD27dv47rvvKj2/du1aaDQadO7cGS1atPBADYnIVXiDYx4DHCIFmDt3LiRJQmJiotFieVlZWXjjjTcgSRLmzZvnwRoSkSvwBsc8JhkTeZnly5fLqwcb7rxOnTqFSZMmyWUWL15stE18fDzmzZuHmTNnok2bNhg4cCA0Gg22bNmCwsJCzJ8/n+tQESnU3Llz0bt3byQmJqJXr16oX78+AN7gSMJS6jURud24ceOM5qYxxdzH9r///S/ef/99pKamQq1W495778X06dMVtb4MkZJVvMHZuXMn6tatK89RBVS+wQGA+fPnY+bMmYiMjDR5g/Paa6+57Ry8BQMcIiIiL8EbHOdhgENERESKwyRjIiIiUhwGOERERKQ4DHCIiIhIcRjgEBERkeIwwCEiIiLFYYBDREREisMAh4iIiBSHAQ4REREpDgMcIiIiUhwGOERERKQ4DHCIiIhIcRjgEJFfuXnzpqer4HF8DcgfMMAhIr/x888/o2PHjg5t27hxY0iShPj4eOdWygN69OiBw4cPe7oaRC7FAIeIXK6kpARBQUGQJAlJSUkeqcPx48fxwAMP4Pbt2x45vjcRQqBv3744dOiQp6tC5DIMcIjI5VJTU1FWVgYAuO+++9x+/JycHAwaNAjFxcXYuHGj24/vbb799lsIITB48GBcunTJ09UhcgkGOETkcobuEEmSHO4iqoonn3wSOTk5mDdvHu655x63H9/btG7dGgsWLMC1a9cwduxYT1eHyCUY4BCRyx05cgQA0Lx5c9SoUcOtx163bh1+/PFHxMXFYdq0aW49tjebOHEi7r77buzYsQNr1671dHWInI4BDhG5TFRUFCRJwurVqwEAp0+fhiRJRj8jR450aR3eeustAMD06dOhVqtdeixfolKp8OqrrwLQv0ZCCA/XiMi5GOAQkUtcvnwZ165ds1rurrvuclkdtm7diszMTAQHB+Oxxx6zWPbGjRuYOXMmWrVqhZCQENSuXRsJCQnYtGmTzcc7ePAgEhMT0aNHD0RHRyMwMBARERHo1KkTPvzwQ2g0GqPykydPlgM9a8dZunQpJEmCSqXC6dOnjZ4rKyvDRx99hPvvvx+RkZEIDAxEVFQUOnfubLHV6uGHH0ZISAh+++03bN261ebzJPIJgojIBYqKikR6err49ttvBQABQHz00UciPT3d6OfmzZsuq8P48eMFANGnTx+L5dLT00VsbKxcz4o/kydPFnfccYcAIHr16mVyHytXrjS7veHnscceM9rm6NGj8nPDhw+3WMdOnToJAKJ3795GjxcXF4tu3bqZPWZMTIzF/fbt21cAEOPHj7dYjsjXsAWHiFwiJCQEbdu2RXFxsfzYoEGD0LZtW6MfV+bkbN68GQAsJhb/+eefGDBgAHJychAeHo5Fixbh6tWruHXrFnbu3Ilhw4Zh0aJFuHDhgsVjaTQatG3bFklJSThy5Ajy8vJQWFiI3bt348477wQArF27FqmpqfI2HTt2RPv27QEAmzZtwtWrV03uOy0tTU7Ufu6554ye++yzz7Bv3z4AwEsvvYSLFy+itLQUFy5cwIYNG6zmHRleG8NrRaQYno6wiEjZXnnlFQFAhIeHC51O57bj/vHHH3IrxqJFi8yWe+GFF+Ry33//vckya9asEUFBQRZbcG7dumX2GJs2bZKP8cknnxg998knn8jPLVy40OT2zz77rAAgoqOjRWlpqdFzgwcPFgBERESE2eNbsmjRIvn4ly9fdmgfRN6ILThE5FJpaWkA9Lk2kiS57bi//vqr/HtsbKzJMiUlJVi2bBkAoH379hg2bJjJciNHjkTdunUtHi8sLMzsc61atZJ/v3HjhtFzY8aMQbVq1QDo82wqKigokJO0x48fj6CgIKPnQ0JCAABFRUU4d+6cxTqaEhMTI/9e/jUj8nUMcIjIpX7++WcAkLtizDEEQJZ+fv/9d5uPWz6QMBd8HD16FHl5eQCAfv362bxve5UfvaXT6Yyeq1GjBkaMGAEAyMjIkIfUG6xcuRK3bt2CJEmYOHFipX0/+OCDAPRdZN27d8fq1asrJTNbUv61qRh8EfmyAE9XgIiU69KlS/JIKksBTklJCU6ePIno6GhMnjzZZBm1Wo1mzZrZfOzS0lL594AA0191GRkZ8u8tWrSwed+W7Nu3D99++y0OHz6MM2fOIC8vDyUlJRa3eeaZZ+RWmiVLlhjN9vz5558DAPr06WPy/J988kmkpKTg66+/xqVLlzB69GjMmDEDU6dOxZQpUxAREWHx2OVfG2v1JPIlDHCIyGUM3VMAcPfdd5st9/PPP0Oj0aBnz56YPXu2U45dvXp1+ffywU555VfVthYIWJObm4uxY8c6NNw6Pj4ezZo1w5kzZ7BmzRp88MEHCAkJwf79+3HixAkAlZOLDQzzDPXs2RPvvvsuLl++jD/++AOJiYn44IMP8Pnnn2P48OFmj13+tQkPD7e77kTeil1UROQyhgBHrVajXbt2ZssZRhbde++9Tjt2+bwbQzdUReVzgrRarcPHKi0tRb9+/eTgpmfPnlixYgVOnTqFgoICZGVlWdxekiRMmDBBrut3330HAFi0aBEAfZ6Mufwgw/aTJ0/G2bNnsWLFCnk5jKtXr+Lhhx+2GHSVf23K5+MQ+ToGOETkMob8mzvvvFNOpDXl2LFjAJwb4LRp00YOYC5fvmyyTFRUlPx7Tk6Ow8dau3at3NIyffp07Nq1C2PHjkWLFi2MWpIsGTdunJyrs2TJEty4cQPffvstAGDChAkIDAy0uo/g4GCMHTsWR48exeLFiyFJEoQQ8mzOpmRnZwPQB0lxcXE21ZXIF7CLiohc5rfffgOgDzYsMbTg/Pe//8WePXsqPd+wYUM8/fTTdh07PDwc7dq1w4kTJ3Dy5EmTZcrPj3Po0CGz+yosLERhYaHZ58snBr/xxht21dOgXr16GDhwIDZt2oTt27dj1qxZKCkpgSRJeOaZZ+ze33PPPYfvvvsOP/zwg1GuUUWGkVNt27ZlFxUpCgMcInKZ/Px8ALA4quf27dvyBfgf//iHyTLjx4+3O8ABgMGDB+PEiRNmg5d77rkHTZo0QVZWFjZs2IDz58+jUaNGRmWuX7+O4cOHW1x2QpRbx+ny5cuIjIw0ev7ixYvy7+Xzfip6+umnsWnTJggh8OmnnwLQj+5q2rSp2W2uXbuGOnXqmHzu+vXrAGBxMkXDazNkyBCzZYh8EbuoiMhlDBfmTZs24dNPP8XRo0eRkZGBjIwMFBQUAABOnDiBsrIyPP744xBCmPxZsmSJQ8cfN24cJEnCiRMnTM5ELEmS3H1TUlKCgQMHYteuXSgtLUV2djYWLVqEdu3a4Y8//jDqzqrogQcekH8fO3Ys0tLSUFpaivT0dLzyyivo16+f3EX33Xff4fz58yb3M3jw4Epz9phLLjYYMGAABg8ejJUrVyIrKwu3b9/G+fPnMWnSJBw9ehQAMHr0aJPb/vHHHzhx4gQkScJTTz1l8ThEPsdjUwwSkeJt3LhRSJJkco2kY8eOCSGE+PzzzwUA8e6777qkDkOHDhUAxBtvvGG2zJQpU8yu5VS3bl1x/Phx0ahRI7MzGet0OjFw4ECT24eEhIivvvpKvPXWW0aPmzvf1157TS4TGxsrysrKLJ7f3XffbXH9q759+4qioiKT286ePVsAEA8++KDFYxD5IgY4RORSKSkpol+/fqJmzZpysBMYGCgvOWBYhmDDhg0uOX5mZqYICAgQERERIjc312y5devWid69e4saNWqIkJAQ0bJlSzF9+nSRk5MjhBAWAxwhhLh9+7Z4++23RbNmzURgYKBo2LChmDJlijh//rwQQojCwkIxbNgwERISIho2bCiWLl1qcj/Hjx+XgxNLQZnBoUOHxFtvvSV69uwpGjRoIAIDA0WNGjVEr169xJIlS4RWqzW53Y0bN0TNmjWFWq0W6enpVo9D5GskIcp1HhMRudl9992Ho0eP4ty5c5XyX5zlrbfewjvvvINHH30Ua9eudckxnGXhwoV49dVXoVKpcObMGTRu3Nglxxk3bhyWL1+OGTNmICkpySXHIPIkBjhE5DFlZWUIDw9HtWrV8Oeff7rsOFqtFgkJCdi2bRs+/PBDvPDCCy47VlVoNBo0a9YMFy5cQEJCArZs2eKS4yxZsgRPP/00evbsiZ9++snsTM9EvowBDhF5TFpaGu655x7ExsaaTaYNCQnBjBkzqnyswsJCJCQkYP/+/VWa1M+V1qxZgyeeeAKAPhn5oYcecslxateujWbNmmHbtm1VnsGZyFsxwCEij/nnP/9pdY6XLl26YP/+/U45XklJCaZOnYp//vOfTtmfsxm66+rVq4fz58+7rGVl8uTJWLBggcUV0Il8HQMcIiIvsGvXLsTHxwMA3nzzTbzzzjuerRCRj2OAQ0RERIrDif6IiIhIcRjgEBERkeIwwCEiIiLFYYBDREREisMAh4iIiBSHAQ4REREpDgMcIiIiUhwGOERERKQ4DHCIiIhIcRjgEBERkeIwwCEiIiLF+X8tR/x7+ahhnAAAAABJRU5ErkJggg==",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 600x600 with 1 Axes>"
       ]
@@ -790,7 +850,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 19,
    "metadata": {
     "pycharm": {}
    },
@@ -798,16 +858,16 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x1534c9510>"
+       "<matplotlib.legend.Legend at 0x15ac03f50>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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+N4bPV9G/79u3zwE9hh49egBY3dbl0KFDAHTr1s0hz6uOyjJiWl1GWYVwJAl2RLmUlChp+HfUoNBqM2zerl07GjVqBOg3db2V/P39WbRoEX5+fuTm5polNJfEsMt2Tk6O1TZPP/00ANu3b2fatGlA2UZ1CgoKjJWa+/XrZzw+ePBgQF/7Jz4+3u77Fjdq1CgAvvvuO7P8HK1Wy5o1a0za1UZlGTGtLqOsQjiSBDui3AyJkkF+pj9Eg/zcq11CpEajMSYmf/rppyarjQzOnj1rdTWWPdatW2c2enT8+HGys7PRaDQ0btzY5nsZRlU2bdpkNXG3ZcuWdO/eHZ1Ox/bt23F3dy91w9qJEydy9OhRk2NRUVGkpqYSGhrKwIEDjcf79u1L79690el0DBs2jMTERJPrdDqd1aKMlvTv399Yn6h4svjUqVNJTEykV69eJiu/apvSRlaLqm6jrEI4kiQoC4eIbBtMv9AgDiZmkHoljwY++h+q1WVEp6hRo0Zx8uRJZsyYwZNPPsnMmTPp0KEDubm5JCQkcPToUfbs2UP37t3L9ZwlS5bw8MMP065dO+666y6uXr3K5s2bUVWVt99+m8DAQJvvNX78eBYtWsTWrVvp1KkTbdq0YejQoTz00EMm7Z5++mljEb7hw4dTp06dEu+r0Wi499576dGjB02bNjUuX/f392fVqlVmBQJXr17NgAEDiI2NpXXr1kRERNCwYUNSUlKIjY3Fx8eHkydP2vy6Vq5cSffu3Xn33XfZuHEjoaGhxMXFERcXR/Pmzfn2229tvldNZBhZnbDiMApYLAEB1XOUVQhHkpEd4TBOGoUuzesypF0IXZrXrdY/VKdPn85PP/3EI488QlpaGqtWrWL37t14e3vz5ptvcscdd5T7Gc899xxPPvkkOTk5fP/99/z000907tyZDRs28MEHH9h1r06dOrFx40Y6derEiRMn2Lx5M9euXTNrN2zYMNzc3IzPL82//vUvPvvsMzIyMli1ahVnz55lxIgRHDp0yGIV6fr16/Pzzz8zb9487r33Xvbt28e3337LH3/8QZcuXXjrrbfsel3BwcEcOnSIl19+meTkZFatWkVWVhavv/46sbGxBAUF2XW/msjayGpR1XGUVQhHUtTaXqyimsrOzsbPz4+srCx8fX1LbZ+Xl0diYiJNmzattStXhH5rhfvuu4+2bduWOKXUpEkTkpKSiI6OplevXreug9VYZX+PaXWqcWS1npcbKHApJ79aj7IKURJ73gdlGkuIWsRQHbosicmiajOMrAohzMk0lhC1xKlTp1i/fj0eHh6MHDmysrsjhBC3jAQ7QtQSc+fORafT8dhjj9XaisNCiNpJprGEqCUWLFhg3BerNGfOnKnYzgghxC0kIztCCCGEqNEk2BFCCCFEjSbBjhBCCCFqNMnZEUKIKqpo7RyplyNE2UmwI4QQVdDW48lM3xhPctbNXcqD/dyJGhQqlZCFsJNMYwkhRBWz9XgyE1YcNgl0AFKy8piw4jBbjydXUs+EqJ4k2BFCiCrkeqGOt//vuMVNPQ3Hpm+MR6uTnX6EsJUEO0IIUUVsPZ5M+MwdZFy9brWNCiRn5XEwMePWdUyIak5ydoQQogowTF3ZOl6TeiWv9EZCCEBGdoQQotJpdSrTN8bbHOgANPC59TurC1FdSbAjaq0mTZqgKAoxMTGV3RVhI61Wy6FDh7h48WKNet7BxAyzZGRrFPSrssKaBlRon4SoSSTYEUJUWTqdjgMHDvDPf/6TBx54gICAADp16sQff/xR6rWZmZm89tprNG3aFHd3d5o2bcprr71GVlZWhTyvPOydkooaFCr1doSwg+TsCFEDJCUlkZiYSNOmTWncuHFld8dh/v77b8LDwwEICAggL8+2oCA5OZlu3bqRmJhI+/bt6dmzJ8eOHWPOnDmsW7eOvXv3EhxsXqumrM8rL1unpOp6ufLhQ22lzo4QdpKRHSFqgDFjxhAREUF0dHRld8WhfH19mT9/PkeOHOHSpUsWAxRLRowYQWJiItOmTSM2NpYlS5YQGxtLVFQUp0+f5oknnnDo88orrGkAwX7ulDRWE+Dlwv4pfSTQEaIMJNgRQlRZAQEBvPTSS9x9990oim3TNlu2bGH37t20bNmSqKgok3NRUVG0atWKmJgYtm7d6pDnOYKTRiFqUCiAWcCj3Pj46KG7cHWWH9lClIV85wjH0WkhcQ8c+17/p05b2T0qs8LCQubPn0+7du3w8PAgICCAIUOGcOzYMYvtFUVBURTOnDnD6dOnGTNmDMHBwfj6+hIREUFcXJzF6xISEhg5ciRNmjTBzc2NevXqER4ezp49e2zqZ0xMDIqisHv3bgDGjRtn7Mt7773Hzp07URQFNzc30tPTLd5j+fLlKIrCiBEjjMeKJm8fOXKEhx9+mPr16+Pp6UmHDh1YunSp1T6dO3eOZ555hpCQENzc3GjWrBlTpkwhNzfXptdUXsuXLwdg+PDhaDSmP+IURWH48OEALFu27Jb0x1aRbYNZOLI9QX6mU1pBfu4sHNleRnSEKAfJ2RGOEb8Btr4F2RduHvNtCJGzIXRw5fWrDAoLC3nooYf44YcfaNWqFY8++ijnzp1jw4YN7Nq1i71793LPPfdYvHbPnj28+OKLeHh4EBERwblz54iJiSEiIoKEhAQaNGhgbPvXX3/RqVMncnJyiIiIoHfv3qSmphIbG0tSUhL33XdfqX1t2LAhzz33HBs2bCA5OZlevXrRqlUrADp27Ejv3r1p1qwZp0+fZuXKlUycONHsHl988QUAzz33nNm5n3/+mQ8//JCQkBAGDBhAWloaP/74I2PHjuXs2bO88847Ju2PHTtGnz59SE9Pp3fv3gQGBrJ//35mzZrF/v372blzJ05OTqW+rvIwBIodO3a0eL5Dhw4A7N27t0L7YQ/Dhp/5hTo+efQeUOBSTr5s/imEo6iiWsrKylIBNSsry6b2165dU+Pj49Vr1645vjO/r1fVKD9VjfIt9uGn//h9veOf6QCNGzdWATU6Otrk+IwZM1RAHTlypFpYWGg8vmDBAhVQIyIizO6FvrCt6urqqo4ePVrNyckxnuvatasKqJ988onJNZMnT1YB9Y033jC7X35+vl2vpWfPniqgfvPNN2bnPvjgAxVQ27VrZ3bu6NGjKqC2bNnS5Ljhc+Ph4aF+/vnnqk6nM5777rvvVEB1dnZWT548aTxeUFCgtmrVSlUURd2yZYvxeF5envFzsHTpUrteV3HW/s8Mrl69avy/OHTokMU2hw4dMrbJzc0t1/OKKuv32JZjF9Twj3aojd/6wfgR/tEOdcuxC3bdR4gqTVuoqqd/UtWj3+n/1BaWfk0p7HkflGksUT46rX5Ep6SdfLZOrjZTWvn5+cyZMweAjz76yGQU4vnnn8fFxYXo6GgyMiyX6n/wwQdZunQpXl5exmOG1T1//vmnSdurV68CWMwNcXV1Ld8LKWLs2LE4OTkRFxfHb7/9ZnJu4cKFgOVRHYD58+czYcIEkz4++uijtG/fnsLCQlatWmU8vnbtWhISEoiIiCAyMtJ43M3NjWeffRaA//3vfw57XZYUXVbu7e1tsU3R/5uSlqHfCrLhp6gV4jfA3Law9EH433j9n3Pb6o/fIjKNJconaZ/p1JUZFbLP69s1LX1aprLFxsaSmZmJi4sLH374odl5FxcXCgoKSEhIoEuXLmbnZ8+ebXbMx8cH0AdSRQ0ePJgFCxbw8ccfc/nyZV5//XVatmzpoFdyU0hICJGRkWzatImvv/6aBQsWAJCTk8PKlStxc3NjzJgxFq9t0aKFxeOdO3fm8OHDJsHTjh07AEhNTeX55583aX/u3DkATpw4Ue7XYytVtVyP2NrxW62kqskq+qTk6Rvj6RcaJNNYovqK3wBrRmP2C3F2sv748GW3JNVBgh1RPjk2Vpa1tV0lO3v2LAAFBQV8+eWXVttduXLF4nFnZ9u/pfr27cu8efN44403WLRoEYsXLyYyMpIZM2ZYzTcpq/Hjx7Np0yZWrVrFJ598gpubGytXriQ7O5snn3ySunXr2nU/Q/vLly8bjxk+d8ePH+f48eMWr7P2eXMUf39/498NI2cl9aFo+1uttKrJRTf87NLcvv8fIaqEUkf+Ff3If+sHQFOxuXwyjSXKxzvQse0qmWH1zm233YaqqlY/+vfv75DnTZw4kb/++ouJEyfi4+PDli1bCA8PZ/HixQ65v8GgQYMIDAwkIyOD9evXAyUnJpfGMErl6elpPGb43L3zzjtWP28XLpQ0Clh+Hh4e3H777cDN4Ku4v//+G4DGjRvj7l55+0vZWjVZNvwU1ZY9I/8VrEYEOxcvXmTBggX06dPHuIQ3MDCQoUOHWl1xUZZrSnPmzBnjsl9LH9ZyCKq1xl31q66slkNTwDdE364aaN68OaCfdjG8KVa022+/nXnz5pGUlMS4cePQarW8/PLLZGZmOuwZzs7OjB49GoCvv/6aX375hbi4OO68806bVn0VZ/jcGD5fRf++b1/F/+AqSY8ePQD9lKQlhw4dAqBbt263rE+W2Fo1WTb8FNVWFRr5rxHBzpgxY5g4cSIJCQl07NiRYcOGERAQwPr16+nZs6fxN9jyXmOr4OBgnnvuObOPp59+ujwvs2rSOOmXlwOWy6EBkbMqfIjSUdq1a0ejRo0A+Pzzz2/ps/39/Vm0aBF+fn7k5uaaJTSXxMXFBdDn4Vhj+Prbvn0706ZNA8o2qlNQUGCs1NyvXz/j8cGD9fPuMTExxMfH231fRxk1ahQA3333nVl+jlarZc2aNSbtKktpVZNlw09R7VWhkf8aEex06dKFrVu3cvbsWb7//ntWrFjB77//zpQpU9DpdLz88stmv6WX5RpbtWzZki+++MLsY+7cuQ54tVVQ6GB9kplvsaJnvg1vWfKZo2g0GmNi8qeffmqy2sjg7NmzVldj2WPdunVmX2PHjx8nOzsbjUZj1x5XhlGVTZs2WU3AbdmyJd27d0en07F9+3bc3d2Noz3WTJw4kaNHj5oci4qKIjU1ldDQUAYOHGg83rdvX3r37o1Op2PYsGEkJiaaXKfT6awWZXSk/v37G+saFU8ynzp1KomJifTq1ctkxVhlKK1qMsiGn6Kaq0Ij/zUiQbl4SXjQv2m9//77LF68mLS0NDZt2sSECRPKdY0oQehgfZJZ0j79kKR3oP4LuJqM6BQ1atQoTp48yYwZM3jyySeZOXMmHTp0IDc3l4SEBI4ePcqePXvo3r17uZ6zZMkSHn74Ydq1a8ddd93F1atX2bx5M6qq8vbbbxMYaPtvO+PHj2fRokVs3bqVTp060aZNG4YOHcpDDz1k0u7pp582TtMOHz6cOnXqlHhfjUbDvffeS48ePWjatKlx+bq/vz+rVq0yKxC4evVqBgwYQGxsLK1btyYiIoKGDRuSkpJCbGwsPj4+nDx50ubXlZ6eztSpU03+DTBnzhxWr14N6Jf7P/jggybXrVy5ku7du/Puu++yceNGQkNDiYuLIy4ujubNm/Ptt9869HllZaiaPH1jvEmycpCfO1GDQqVqsqjeDCP/a0ajD3iK/iJ2i0f+y13Vp4rr1KmTCqgffPBBhV6jqqqamJioAmrPnj3t7KX9qlRRwWqqtIJxP/30k/rII4+ogYGBqouLi9qgQQO1a9eu6ptvvqmmpKSYtL3xXawmJiaa3ScqKkoF1DFjxpgc37x5szpy5Ej1jjvuUD09PdX69eurvXr1Ujds2FCm17Np0ya1U6dOqpeXl1qvXj115cqVZm2uXr2qurm5qYD6888/W72X4XOza9cudeHCherdd9+turm5qfXq1VNHjBhhUkywuLy8PHXevHlq586dVR8fH9Xd3V1t0qSJOmTIEPU///mPXa/J8D1V0kdUVJTFazMyMtSXX35ZbdSokerq6qo2bdpUff3119XMzMwKeV55vscKtTp138lL6rrfzqn7Tl5SC7W60i8Sorr4fb2qftratOjsp3eWu+CsPe+DiqpWkaITFaCwsJCgoCDS09NZvnw5I0eOrJBrDM6cOUPTpk3p2bMnMTEx5eh56bKzs/Hz8yMrKwtfX99S2+fl5ZGYmEjTpk0rdQWKqFx79+7lvvvuo23btiVOKTVp0oSkpCSio6Pp1avXretgNSbfY0KUQKd1+Mi/Pe+DNWIay5rVq1eTnp6Ot7c3gwYNqrBritu9ezfe3t6EhIQQHh7O+PHjjStESpOfn29WfM6S7OzsMvVN1G6G6tBlSUwWQogy0zhVamHZGhvsJCUlMWnSJADmzp2Ln59fhVxTlJeXF6NHj8bZ2dm4oeOyZctYtmwZTz31FP/5z39K3QRx5syZTJ8+3a7nCmGLU6dOsX79ejw8POwasRRCiOquRgY7f//9N7179yY9PZ2ZM2cyfvz4CrmmuPr167N06VLjv1VVZe3atTz11FN8/fXXBAUFWdyCoKgpU6bw6quvlvqs7Oxs4xJpIWwxd+5cdDodjz32WKVWDhZCiFutxuXsxMXFMXDgQNLS0vjiiy9sClrKco09li5dytixY/Hy8uLSpUsOmc+XnB0hqhZ7vse0OpWDiRmkXsmjgY++lo4sMRfCPrU2Z2f//v0MGDAArVbL5s2bTQqeOfIaew0dOhTQ79Xz+++/06FDB4c/QwhRPWw9nmy21DxYlpoLUaFqRFFBgCNHjhAZGcn169f58ccfbQpaynJNWRQWFhr/npcn+9wIUVttPZ7MhBWHzTYATcnKY8KKw2w9nlxJPROiZqsRwU5GRgaDBg0iOzubL774gi5dulTINWVlKOKmKAp33HFHhT1HCFF1aXUq0zfGW93/GWD6xni0uhqVWSBElVAjgp1JkyZx9uxZOnbsWGr5+/JcA9CnTx9at25t8Zrs7Gy0Wq3JsZMnTxoTjocOHUqDBg1sfpYQouY4mJhhNqJTlAokZ+VxMLH8W5EIIUxV+5yd1NRUVqxYAeini55//nmL7caMGWMcvSnLNQanTp0iKSmJoKAgs/Zr167ltddeo3PnzgQGBnL+/Hn27NlDXl4e7dq148svvyzz6xRCVG+pV2ybwra1nRDCdtU+2MnNzTVufGjY+8aS8PBwY+BSlmts0ahRI0JCQti7dy+5ubn4+/sTHh7OsGHDePrpp3F1dbX9hQkhapQGPratgrS1XWlkxZcQN1X7YKdJkyZWd3l25DUGZ86csXquT58+ZjtECyEEQFjTAIL93EnJyrOYt6Og3wA0rGlAuZ8lK76EMFUjcnaEEKKqc9IoRA0KBYz7PRsZ/h01KLTcoy+y4ksIcxLsCCHELRLZNpiFI9sT5Gc6VRXk587Cke3LPeoiK76EsKzaT2MJIUR1Etk2mH6hQRWST2PPiq8uzeuW+3lCVBcysiNqrSZNmqAoCjExMZXdFWEjrVbLoUOHuHjxYmV3pVycNApdmtdlSLsQujSv67DEYVnxJYRlEuwIIaosnU7HgQMH+Oc//8kDDzxAQEAAnTp14o8//ij12szMTF577TXjXlVNmzbltddeIysry+qzYmJiePbZZ7nnnnvw9/fH09OTu+66i+nTp3P16lVHv7wy0+pU9p9KZ33cefafSjdOS93qFV9CVBcyjSVEDZCUlGTchLJx48aV3R2H+fvvvwkPDwcgICDA5u1WkpOT6datG4mJibRv356ePXty7Ngx5syZw7p169i7dy/Bwab5MQcPHiQiIgJnZ2fCw8MZOnQoqampREdH89577/H999+ze/duAgLKv1qqPEpaadUvNOiWrfgSojqRkR0haoAxY8YQERFBdHR0ZXfFoXx9fZk/fz5Hjhzh0qVLZgGKNSNGjCAxMZFp06YRGxvLkiVLiI2NJSoqitOnT/PEE0+YXePl5cW7777LuXPn2LNnD0uWLGHz5s38/vvvBAcHc/z4caZOnerol2iX0lZabY9PuSUrvoSobiTYEUJUWQEBAbz00kvcfffdKIptb9Bbtmxh9+7dtGzZkqioKJNzUVFRtGrVipiYGLZu3Wpy7q677mLGjBkEBgaaHG/WrBlTpkwB9FXSK4utK636hQZV6IovIaojCXaEw2h1Wn5N+ZXNpzfza8qvaHXa0i+qogoLC5k/fz7t2rXDw8ODgIAAhgwZwrFjxyy2VxQFRVE4c+YMp0+fZsyYMQQHB+Pr60tERITVKt0JCQmMHDmSJk2a4ObmRr169QgPD2fPnj029TMmJgZFUdi9ezcA48aNM/blvffeY+fOnSiKgpubG+np6RbvsXz5chRFYcSIEcZjRZO3jxw5wsMPP0z9+vXx9PSkQ4cOLF261Gqfzp07xzPPPENISAhubm7GYCE3N9em11Rey5cvB2D48OFoNKY/4hRFYfjw4QAsW7bM5ns2b94c0G8gXFnsWWkV2TaYvW/15ttnwpn3eDu+fSacvW/1lkBH1FqSsyMcYkfSDmYdnMXF3JurZAI9A5kcNpm+jftWYs/sV1hYyEMPPcQPP/xAq1atePTRRzl37hwbNmxg165d7N27l3vuucfitXv27OHFF1/Ew8ODiIgIzp07R0xMDBERESQkJJhsBPvXX3/RqVMncnJyiIiIoHfv3qSmphIbG0tSUhL33XdfqX1t2LAhzz33HBs2bCA5OZlevXrRqlUrADp27Ejv3r1p1qwZp0+fZuXKlUycONHsHl988QUAzz33nNm5n3/+mQ8//JCQkBAGDBhAWloaP/74I2PHjuXs2bO88847Ju2PHTtGnz59SE9Pp3fv3gQGBrJ//35mzZrF/v372blzJ05OTqW+rvIwBIodO3a0eL5Dhw4A7N271+Z7/vnnnwCVmg9l70orw4ovIQSgimopKytLBdSsrCyb2l+7dk2Nj49Xr1275vC+bD+zXb1ryV1q2yVtTT7uWnKXeteSu9TtZ7Y7/JmO0LhxYxVQo6OjTY7PmDFDBdSRI0eqhYWFxuMLFixQATUiIsLsXuh/sVZdXV3V0aNHqzk5OcZzXbt2VQH1k08+Mblm8uTJKqC+8cYbZvfLz8+367X07NlTBdRvvvnG7NwHH3ygAmq7du3Mzh09elQF1JYtW5ocN3xuPDw81M8//1zV6XTGc999950KqM7OzurJkyeNxwsKCtRWrVqpiqKoW7ZsMR7Py8szfg6WLl1q1+sqztr/mcHVq1eN/xeHDh2y2ObQoUPGNrm5uaU+8/r16+qdd96pAuq7775rtV1Ffo+pqqruO3lJbfzWD6V+7Dt5qUKeL0RVY8/7oExjiXLR6rTMOjgL1UImgeHY7IOzq82UVn5+PnPmzAHgo48+MhmFeP7553FxcSE6OtrqdMaDDz7I0qVL8fLyMh4zrCYyjA4YGJYyW8pFceSmsWPHjsXJyYm4uDh+++03k3MLFy4ELI/qAMyfP58JEyaY9PHRRx+lffv2FBYWsmrVKuPxtWvXkpCQQEREBJGRkcbjbm5uPPvsswD873//c9jrsqTosnJvb2+LbYr+31hbhl7U22+/zR9//MGdd97JG2+8Uf5OlpFhby1rmUsK+lVZstJKCHMyjSXK5XDqYZOpq+JUVFJyUzicephOQZ1uYc/KJjY2lszMTFxcXPjwww/Nzru4uFBQUEBCQgJdunQxOz979myzYz4+PoA+kCpq8ODBLFiwgI8//pjLly/z+uuv07JlSwe9kptCQkKIjIxk06ZNfP311yxYsACAnJwcVq5ciZubG2PGjLF4bYsWLSwe79y5M4cPHzYJnnbs2AFAamoqzz//vEn7c+fOAXDixIlyvx5bqVY2+7V23JIPP/yQTz75hBYtWrBt2zbj/2VlMOytNWHFYRQw+fVCVloJUTIJdkS5pOWmObRdZTt79iwABQUFfPnll1bbXblyxeJxZ2fbv6X69u3LvHnzeOONN1i0aBGLFy8mMjKSGTNmWM03Kavx48ezadMmVq1axSeffIKbmxsrV64kOzubJ598krp17cvtMLS/fPmy8Zjhc3f8+HGOHz9u8TprnzdH8ff3N/7dWhHAon0o2r4onU7HxIkT+eyzz+jcuTMbNmwwybeqLIa9tYrX2QmSHc2FKJFMY4lyqe9Z36HtKpth9c5tt92GqqpWP/r37++Q502cOJG//vqLiRMn4uPjw5YtWwgPD2fx4sUOub/BoEGDCAwMJCMjg/Xr1wMlJyaXxjBK5enpaTxm+Ny98847Vj9vFy5cKO9LKZGHhwe33347cDP4Ku7vv/8G9MnG7u7mlYQLCwsZNWoUn332GUOHDiUmJqZKBDoGstJKCPtJsCPKpX2D9gR6BqJYySRQUAjyDKJ9g/a3uGdlY1hifO7cOeObYkW7/fbbmTdvHklJSYwbNw6tVsvLL79MZmamw57h7OzM6NGjAfj666/55ZdfiIuL484777Rp1Vdxhs+N4fNV9O/79u1zQI/LrkePHoB+StKSQ4cOAdCtWzeL55955hlWrVrFo48+yvfff28xIKpstu6tZW1bCSFqGwl2RLk4aZyYHDYZwCzgMfz7rbC3cNJU7HJjR2nXrh2NGjUC4PPPP7+lz/b392fRokX4+fmRm5trltBcEhcXF0Cfh2PN008/DcD27duZNm0aULZRnYKCAmOl5n79+hmPDx48GNDX/omPj7f7vo4yatQoAL777juz/BytVsuaNWtM2hX18ccfs2TJEtq0acOyZcsqfJl8Rdp6PJnus3cxYtEvvLw6jhGLfqH77F1sPZ5c2V0T4paTYEeUW9/GfZnTaw4NPE2H+gM9A5nTa061qrOj0WiMicmffvqpyWojg7NnzzqkuNy6devMRo+OHz9OdnY2Go3GrpouhlGVTZs2WU3AbdmyJd27d0en07F9+3bc3d2Noz3WTJw4kaNHj5oci4qKIjU1ldDQUAYOHGg83rdvX3r37o1Op2PYsGEkJiaaXKfT6awWZXSk/v37G+saFU8ynzp1KomJifTq1ctkxRjok6cN20HMnj0bDw+PCu9rRSltWwkJeERtIwnKwiH6Nu5LRKMIDqceJi03jfqe9WnfoH21GdEpatSoUZw8eZIZM2bw5JNPMnPmTDp06EBubi4JCQkcPXqUPXv20L1793I9Z8mSJTz88MO0a9eOu+66i6tXr7J582ZUVeXtt98227agJOPHj2fRokVs3bqVTp060aZNG4YOHcpDDz1k0u7pp582FtMbPnw4derUKfG+Go2Ge++9lx49etC0aVPj8nV/f39WrVplNvKxevVqBgwYQGxsLK1btyYiIoKGDRuSkpJCbGwsPj4+nDx50ubXlZ6ebrIflaEK9Jw5c1i9ejWgX+7/4IMPmly3cuVKunfvzrvvvsvGjRsJDQ0lLi6OuLg4mjdvzrfffmv2rH//+98UFBQA8H//939s3LjRrE3dunUtrtKrSkrbVkLh5rYSsnJL1BYS7AiHcdI4VYvl5baYPn26cbXU3r17WbVqFXXq1KFFixa8+eab3HHHHeV+xnPPPYePjw8HDhzg+++/x8vLi86dO/Pqq68yaNAgu+7VqVMnNm7cyHvvvUd8fDxJSUncf//9Zu2GDRvGc889R35+vk1TWP/6179ISEhg4cKF7N+/Hx8fH0aMGMH7779vkq9jUL9+fX7++We+/PJLVq1axb59+ygoKCAoKIguXbrwwAMP2PW6rly5YnFVXNFAJCgoyCzYCQ4O5tChQ0yfPp21a9cSFxdHSEgIr7/+Ou+88w5+fn5m9yw6BfjVV19Z7E/jxo2rfLBjz7YSUmFZ1BaKak/RCVFlZGdn4+fnR1ZWFr6+vqW2z8vLIzExkaZNm1bJhEtxa+zdu5f77ruPtm3bljil1KRJE5KSkoiOjqZXr163roPVWFX5Hlsfd56XV8eV2m7e4+0Y0i6k4jskRAWx531QcnaEqEUM1aHLkpgsqocGPrYFWra2E6ImkGBHiFri1KlTrF+/Hg8PD0aOHFnZ3REVRLaVEMKcBDtC1BJz585Fp9Px2GOPWa0cLKo/w7YSgFnAI9tKiNpKcnaqKcnZEaJqqWrfY1uPJ5ttKxEs20qIGsSe90FZjSWEEDVQZNtg+oUGcTAxg9QreTTw0U9dyYiOqI0k2BFCiBrKsK2EELWd5OwIIYQQokaTkR0hhCiBqqpczddSqNPhrNHg5eaEoshUkBDViQQ7QghhRda161zIzKNAqzMec3HS0NDfHT8P10rsmRDCHjKNJYQQFmRdu05Seq5JoANQoNWRlJ5L1rXrldQzIYS9ZGRHCCGKUVWVC5nW95cCuJCZh6+7i9mUllansv9UuqyAEqIKkWBHCCGKuZqvNRvRKa5Aq+NqvhZv95s/Rq9d1/Lkol+IS841HpPaNkJUPpnGEkKIYgp1JQc6ltpdybtOxtXrpOXkm7RJycpjworDbD2e7NA+CiFsJ8GOEEIU46yx7UejoZ2qqqRmX8dSOXrDsekb49HqpGC9EJVBgh1RazVp0gRFUYiJiansrggbabVaDh06xMWLFyv0OV5uTrg4lfzj0cVJvwwdMC5Nt0YFkrPyOJiY4chuCiFsJMGOEKLK0ul0HDhwgH/+85888MADBAQE0KlTJ/74449Sr83MzOS1114z7lXVtGlTXnvtNbKysqxeM3v2bPr27UujRo1o16Q+nVuGMDSiMx+98wbJ58+atG3o725MTrZ12iv1SslJz0KIiiEJykLUAElJScZNKBs3blzZ3XGYv//+m/DwcAACAgLIy7MtWEhOTqZbt24kJibSvn17evbsybFjx5gzZw7r1q1j7969BAebJwxHRUUREBDAPffcQ1BQEBfTLrE7Job/Ll3Mjxv/j/9u3c1ttzUyq7Nj67RXA5/K3yBUiNpIRnaEqAHGjBlDREQE0dHRld0Vh/L19WX+/PkcOXKES5cuWQxQLBkxYgSJiYlMmzaN2NhYlixZQmxsLFFRUZw+fZonnnjC4nV79+7l/PnzbNmyhW+++YbNP2zkTOJpmjZtxuWMdGI2rKF1kI9ZQUEvNyecNRqsLTBX0K/KCmsaYDxmWKK+Pu48+0+lSz6PEBVIRnaEEFVWQEAAL730kl3XbNmyhd27d9OyZUuioqJMzkVFRbF69WpiYmLYunUrkZGRJuc7duxodr/69evz0ENDmTNnDlmX0y1uFaEoCg18XbG03srQOmpQqLHeztbjyUzfGE9y1s2RKsMSddmpXAjHk5EdISwoLCxk/vz5tGvXDg8PDwICAhgyZAjHjh2z2F5RFBRF4cyZM5w+fZoxY8YQHByMr68vERERxMXFWbwuISGBkSNH0qRJE9zc3KhXrx7h4eHs2bPHpn7GxMSgKAq7d+8GYNy4cca+vPfee+zcuRNFUXBzcyM9Pd3iPZYvX46iKIwYMcJ4rGjy9pEjR3j44YepX78+np6edOjQgaVLl1rt07lz53jmmWcICQnBzc2NZs2aMWXKFHJzc61e40jLly8HYPjw4WiKTS8pisLw4cMBWLZsmc33TE7WhzGWgiEDH3dXArxcqe/tZnI8yM+dhSPbG+vsbD2ezIQVh00CHdAvUX9+xWE6fLCdEYt+4eXVcYxY9AvdZ++SZetClJOM7AiHUbVacg/FUpiWhnP9+nh27IDi5FTZ3bJbYWEhDz30ED/88AOtWrXi0Ucf5dy5c2zYsIFdu3axd+9e7rnnHovX7tmzhxdffBEPDw8iIiI4d+4cMTExREREkJCQQIMGDYxt//rrLzp16kROTg4RERH07t2b1NRUYmNjSUpK4r777iu1rw0bNuS5555jw4YNJCcn06tXL1q1agXo35h79+5Ns2bNOH36NCtXrmTixIlm9/jiiy8AeO6558zO/fzzz3z44YeEhIQwYMAA0tLS+PHHHxk7dixnz57lnXfeMWl/7Ngx+vTpQ3p6Or179yYwMJD9+/cza9Ys9u/fz86dO3Gq4K8JQ6BoLTDp0KEDoJ+yKo1Op2PJkiWsWbOGiIgIRo0aVWJ7D1cnVj4TztHkXIsjM1qdyvSN8SUuUc/MLTA5bqjTUzRgEkLYSa0BUlJS1Pnz56u9e/dWGzdurLq6uqoNGjRQhwwZou7Zs6fEazdt2qRGRESovr6+qq+vrxoREaFu3ry5XP1Zvny52rlzZ9XLy0sNCAhQH3zwQXX//v3lumdxWVlZKqBmZWXZ1P7atWtqfHy8eu3aNYf2w9ifbdvUP3v2UuNbtTZ+/Nmzl5q1bVuFPM8RGjdurAJqdHS0yfEZM2aogDpy5Ei1sLDQeHzBggUqoEZERJjdC/17lerq6qqOHj1azcnJMZ7r2rWrCqiffPKJyTWTJ09WAfWNN94wu19+fr5dr6Vnz54qoH7zzTdm5z744AMVUNu1a2d27ujRoyqgtmzZ0uS44XPj4eGhfv7556pOpzOe++6771RAdXZ2Vk+ePGk8XlBQoLZq1UpVFEXdsmWL8XheXp7xc7B06VK7Xldx1v7PDK5evWr8vzh06JDFNocOHTK2yc3NNTv/2WefqePHj1cHDx6sBgcHqyEhIerMmTPVgoKCEvtmy/fYvpOX1MZv/WD3R5O3flDDP9qhFmp1Vu8tRG1jz/tgjZjGGjNmDBMnTiQhIYGOHTsybNgwAgICWL9+PT179jT+5lrcrFmzeOCBBzh06BD3338/999/P4cOHWLgwIHMnj27TH154YUXGDVqFKdOnWLIkCF0796d7du30717d1atWlWel1llZf/4I+dfnkRhSorJ8cKLFzn/8iSyf/yxknpmv/z8fObMmQPARx99ZDIK8fzzz+Pi4kJ0dDQZGZbrpTz44IMsXboULy8v4zHDaqI///zTpO3Vq1cBLOaAuLo6bkftsWPH4uTkRFxcHL/99pvJuYULFwKWR3UA5s+fz4QJE0z6+Oijj9K+fXsKCwtNvqbXrl1LQkICERERJrkwbm5uPPvsswD873//c9jrsqTosnJvb2+LbYr+31hahr5582a++uor42hZQUEBKSkpXLp0qdz9K+vS8+J1eiS5WQj71IhprC5duvDKK6/Qv39/4w9lnU7HO++8w8yZM3n55ZcZOHAgt99+u/Ga6Oho3n77bW677TZ+/vln47mzZ8/SrVs3pkyZQlhYGBERETb3Y8mSJSxcuJB77rmH6Oho6tSpA8DRo0fp3r0748aNo2PHjrRs2dKBr75yqVotFz+aCaqFH7aqCorCxY9m4tOnT7WY0oqNjSUzMxMXFxc+/PBDs/MuLi4UFBSQkJBAly5dzM5bCpJ9fHwAfSBV1ODBg1mwYAEff/wxly9f5vXXX6+Qr42QkBAiIyPZtGkTX3/9NQsWLAAgJyeHlStX4ubmxpgxYyxe26JFC4vHO3fuzOHDh02Cpx07dgCQmprK888/b9L+3LlzAJw4caLcr8dWqqWvyRKOG/zwww8UFhaSlpbGoUOHmD9/PvPmzWP16tXs2LGDtm3blrlP5V16nnolr8TkZpnmEsKyGjGyExUVxf3332/y26dGo+H999+nfv36XL9+nU2bNplcM3nyZFRVZdasWSZBUKNGjZg1axaqqjJlyhSb+1BYWMjUqVMB+Oyzz4yBDsDdd9/N5MmTuX79OtOmTSvry6yScg/Fmo3omFBVClNSyD0Ue+s6VQ5nz+oLxxUUFPDll1+afRiSbK9cuWLxemdn239/6Nu3L/PmzcPFxYVFixbRunVrBg4cyKFDh8r/QooZP348AKtWrTIGXStXriQ7O5tHH32UunXr2nU/Q/vLly8bjxk+d8ePHzf7vBm+/6x93hzF39/f+HfDyFlxRftQtH1Rzs7OBAcHM2jQIH788UceffRRLl68yIsvvliu/oU1DSDYz93qEvXSnLmUazW5WfbfEsK6GhHsWOPk5ESTJk0ATKYd/vzzTw4ePIirqysPP/yw2XUPPfQQrq6uHDhwwGzqwZpdu3Zx4cIFGjVqRLdu3czOP/744wCsW7eO7OzsMryaqqkwLc2h7SqbYfXObbfdhqqqVj/69+/vkOdNnDiRv/76i4kTJ+Lj48OWLVsIDw9n8eLFDrm/waBBgwgMDCQjI4P169cDJScml8YQMHl6ehqPGT5377zzjtXP24ULF8r7Ukrk4eFhMkpryd9//w1A48aNcXcvfaRFURRefvllQJ/UfCkzh8zc6+TkFZY6SlSck0YhalCoxQTlEvsABPm68e3Bv2X/LSHKoEYHO4WFhZw+fRrApKqsYbVGaGgoHh4eZtd5eHgQGhoK2LZio+g9DSs9imvWrBn+/v7k5+dXyG/ulcW5fn2HtqtszZs3B/TTLoY3xYp2++23M2/ePJKSkhg3bhxarZaXX36ZzMxMhz3D2dmZ0aNHA/D111/zyy+/EBcXx5133mnTqq/iDJ8bw+er6N/37dvngB6XXY8ePQD9lKQlhu8/S7+UWOPn5wfop8d/++tv/s7I5fSlHE6kXCHr2nW7+hfZNphX+t5hc3vDKNCIsNtJybae8yP7bwlhXY0OdlavXk16ejre3t4MGjTIeDwhIQHQ//ZujeGcoW1pHHXP/Px8srOzbfqoCjw7dsA5KAgsJNkCoCg4BwXh2dFyEFjVtGvXjkaNGgHw+eef39Jn+/v7s2jRIvz8/MjNzbV5VBH0uUSgz8Ox5umnnwZg+/btxunUsozqFBQUGCs19+vXz3h88ODBgL72T3x8vN33dRTD8vDvvvvObORFq9WyZs0ak3a22L4rBgAvbx/q1r9ZPqBAqyMpPdfugKdJPa/SG91gqNNj6zWy/5YQ5mpssJOUlMSkSZMAmDt3rvE3M7i5AsPaag24uWKjpE0Di3LUPWfOnImfn1+pH4Y35MqmODkR+PaN3KbiAc+Nfwe+PaVaJCeDfirGkJj86aefWlxBd/bsWaurseyxbt06s9Gj48ePk52djUajsWuPK8OoyqZNm6xOrbRs2ZLu3buj0+nYvn077u7uxtEeayZOnMjRo0dNjkVFRZGamkpoaCgDBw40Hu/bty+9e/dGp9MxbNgwEhMTTa7T6XRWizI6Uv/+/Y11jYonmU+dOpXExER69eplVj05LS2NXbt2odVqTY7v27eP6VHvAvDAQ8Ms5mVdyMyza0rL1kTldx+4k71v9SaybbDN18j+W0KYqxGrsYr7+++/6d27N+np6cycOdOYnFlcST+c7J2Ld9Q9p0yZwquvvlpqu+zs7CoT8Pj27w/z5nLxo5kmycrOgYEEvj1Ff74aGTVqFCdPnmTGjBk8+eSTzJw5kw4dOpCbm0tCQgJHjx5lz549dO/evVzPWbJkCQ8//DDt2rXjrrvu4urVq2zevBlVVXn77bcJDAy0+V7jx49n0aJFbN26lU6dOtGmTRuGDh3KQw89ZNLu6aefNk7NDh8+3CSR3hKNRsO9995Ljx49aNq0qXH5ur+/P6tWrTIrELh69WoGDBhAbGwsrVu3JiIigoYNG5KSkkJsbCw+Pj6cPHnS5teVnp5uTPw3/Btgzpw5rF69GtAv93/wwQdNrlu5ciXdu3fn3XffZePGjYSGhhIXF0dcXBzNmzfn22+/NXvW+fPn6dOnD3Xr1qVDhw4EBQVx6tQp9u3bh6qqtOsYxqS337PYzwKtjtzrWovnLDEkKqdk5VnMwVHQj+iM7dbUWJDQ1muK7r8lhNCrccFOXFwcAwcOJC0tjcWLF1sMdAwrMKyt1oCbKzasrdaoqHu6ubnh5uZm9XxV5du/Pz59+tSICsoA06dPN66W2rt3L6tWraJOnTq0aNGCN998kzvusD3nwprnnnsOHx8fDhw4wPfff4+XlxedO3fm1VdfNZl2tUWnTp3YuHEj7733HvHx8SQlJXH//febtRs2bBjPPfcc+fn5Nk1h/etf/yIhIYGFCxeyf/9+fHx8GDFiBO+//75Jvo5B/fr1+fnnn/nyyy9ZtWoV+/bto6CggKCgILp06cIDDzxg1+u6cuUKX375pdnxjRs3Gv8eFBRkFuwEBwdz6NAhpk+fztq1a4mLiyMkJITXX3+dd955x2Skt+h9nnrqKY4cOUJsbCxZWVl4e3vTuUtXeg8cyiNPji1xtZ1Wp7P5dRkSlSesOIwCJsGLpb20ynqNEEJPUcs6hFEF7d+/nwEDBqDValm7dq1JPkFR33zzDU899RT33HOP1T2L2rZty++//84333zD2LFjS312VFQUM2bMYMiQIaxbt85iGx8fH3JycoiOjqZXr162vSgrsrOz8fPzIysrC19f31Lb5+XlkZiYSNOmTW1agSJqpr1793LffffRtm3bEqeUmjRpQlJSkkO+Vqu7nLxCTl+yngtlEOLjTOqFs8bvMa1OLXVDz7LUzJE6O0Lo2fM+WGNGdo4cOUJkZCQFBQXs3LnTYsE3A8Pqkz/++INr166ZrcjKyckxJhHbumKjtBUgJ06cICcnB3d3d6srtoSoaIbq0GVJTK6tvNyccHHSUKC1PnLj4qTB0/XmKKatAUlk22DjLucpWdfIuHqdAG83/Dxc0epUi6M0Ra8pz87otgRjQtQUNSLYycjIYNCgQWRnZ7N06dISAx3QV4Xt0qUL+/fv5//+7/944oknTM6vWbOGwsJCOnfubPN0Ra9evbjttts4d+4c+/bto2vXribnDYmuQ4YMMVbUFeJWOnXqFOvXr8fDw4ORI0dWdneqDUVRaOjvTlK69V3bG/q7oyj6YGjPn6lMWHXMLK/G2oaeThqFrGvX+ee2BJtHa5w0Cl2a21cIsigZHRK1TY1YjTVp0iTOnj1Lx44dS11dYvDRRx+hKApTpkzh/PnzxuOJiYlMnToVRVGYOXOm2XV9+vShdevWZs9xcnLigw8+AOCll14yWXEVGxvLp59+iqurKzNmzCjLS3SYGjRrKew0d+5cdDodjz32mM25aELPz8OVxnU9cXEy/ZHp4qShcV1P/DxcbxROhH9Hn7Kr8N/W48m3tCryrX6eEFVBtR/ZSU1NZcWKFYC+iGDxPXkMxowZYzLi06tXL2bOnMnkyZNp06YNAwYMoLCwkC1btnD16lVmz55tcV+sU6dOkZSURFBQkMVnHDhwgIULF9KqVSv69etHVlYW27ZtQ6fTsWzZskrbF8tQ3bb4slpReyxYsMC4L1Zpzpw5U7GdqYb8PFzxdXfhar6WQp0OZ40GLzcn4zY1Wq2W/EIt5zJtK/zXpXldtDqV6RvjrQZHCvrgqF9okEOmmG7184SoKqp9sJObm2scrTAsLbUkPDzcbHrrrbfeom3btvzzn//khx9+wMnJifDwcN544w2LK1ls8fnnnxMeHs6CBQtYu3Yt7u7uREZGMnXqVMLCwsp0T0dwcXHBycmJa9eulVgLSAhhnaIoeLtb/rF57do1rmsh41rpq7IMhf8OJmaYjbAUVTw4Kq9b/TwhqopqH+w0adKkXFMzDzzwgF3LYW35jXf06NE2T6fdKoqi4OnpSVZWFgEBAWb1UYQQZafVasnKyiI5V7Vp3ytD4T9bqx07qiryrX6eEFVFtQ92hO0aNGjAmTNnSEpKIiAgADc3N5Od4oUQ9lFVlfz8fDIyMsjIyWPGjnMlti9e+O9WV0WWKsyitpJgpxZxdXXltttu49KlSyQnSxKiEI7i4enJ7D1pNk1hFS38d6urIksVZlFbSbBTy3h6enL77bdTWFhIYWFhZXdHiGrP2dmZX5OyiD1vfWm6waS+Lc2Wnd/KqshShVnUVhLs1FLOzs4llr4XQtjO1hyXJvU8zY5Ftg1m4cj2ZnVvgiqo7s2tfp4QVYG82wkhRDmVNxfGUVWRbXWrnydEZZNgRwghyskRuTDlrYpsr1v9PCEqU42ooCyEELbS6lT2n0pnfdx59p9KN6lmXFaGXBi4mftiILkwQlQ+GdkRQtQaFbknlOTCCFF1KapsllQt2bO1vRDi5p5QxX/gGcZaim/QWVaym7gQt4Y974MysiOEqPFu5Z5QkgsjRNUjOTtCiBrPnj2hbFEReT9CiIojIztCiBrPkXtCVWTejxCiYsjIjhCixnPUnlCGvJ/io0QpWXlMWHGYrcft24ZFRoiEuDVkZEcIUeM5og6Oo/N+LI0QBfm6MSLsdprU85LkZiEcSIIdIUSN54g9oezJ+yktQdnayrCU7Hz+teMv479lekwIx5BpLCFErWCogxPkZzpVFeTnbtOyc0fl/ZQ0QlRcWafHhBCmZGRHCFFrlGdPKEfl/ZQ2QlSUo5fFC1FbSbAjhKhVyloHxxF5P2D7CJGBPdNjQgjLZBpLCCFs4Kj9r2wdISrO3iBJCHGTBDtCCGGj8ub9wM0RInsnpMoaJAkhZBpLCCHsUp68Hyh5ZZg1GgU6NK5Trn7Lnl2iNpNgRwgh7FRa3k9pgYW1HdKt0akQm3S5zDk7UvVZ1HYS7AghRDkUD2wuX73O+5tKDywMI0T/2v4n/44+WepzbMnZsRRkbY9PsVzT58aydkft9i5EVSbBjhBClJGlERNLrAUWThqFbi3q2RTs2LKVhaWKzHmFuluy27sQVZkkKAshRBlY2yfLEkOwMX1jvNn+V6UlLCvoR4ZKWtJudc+u7HwycwtK7Jc9u70LUV1JsCOEEHaypwqygbXAorxL2svSl+JkWbuo6STYEUIIO9lTBbk4S4FFeZa0l6cvBrKsXdR0krMjhBB22hGfUuZrrQUWZV3SXp5RGVurPgtR3UmwI4QQdtDqVP4v7rzd11kKLCytnrJleXnR6y5dybe7L4b+gG1Vn4Wo7iTYEUIIOxxMzCDjqvWkX0ssBRZlrX1j6wqwos/283TB3dmJlOwiK7Wkzo6oRSTYEULUSmWtKFyWaaPigcXmo8m8sOqwWbvSat8YVl3Zm4w86+G7ylX1WYjqToIdIUStU56KwrYm8777wJ3U83EzCyw2H73AP779zeI1RZeoF699U5ZVVxoF/j3iXuNrkl3TRW0lq7GEELWK1Zo0N0ZVth5PLvF6WzbyDPZzZ2y3pgxpF0KX5nVNpq5eWPUbulIiFktL1Muy6kqnQh0vN7uuEaImkmBHCFFrlDQ6UlLhv6JKq4ujYDnp1/BsW20vtuKrrKuupIaOEBLsCCFqkdJGR2ytKFyWujj2jsysj7tgEnSVtRaO1NARQnJ2hBC1iK2jHLa0s7cujr0jLOlXr3MwMcOYZ2OYPkvJyrMpb0dq6AhxkwQ7Qohaw9ZRDlvbOWkUm5N+yzLCUjRAMkyfTVhxGAVKDHikho4QpmQaSwhRazhi082KerYlxQMka9NnxeOZOl4uPNWtCX4eriXmHwlRWyiqqsp3QjWUnZ2Nn58fWVlZ+Pr6VnZ3hKg2DKuxwHR0xBAvlLYXlSOebe2HrgYdYZoTNCCTQq8GLHjrRZyczQfgi9cI6tC4DrFJl9ken8K6uAtkXL1ubGvrknohqht73gcl2KmmJNgRouzKU2enIp4NcL/mIFEuy2ioFEmO9m0IkbMhdLBN97UUSN2KIE6IyiDBTi0gwY4Q5VPWCsqOfPaiPaeITkijv3KQhS5zgeJTUjf+MXxZiQGPVqfSffYuq6u9DMnKe9/qLTk8osaw532wxiYop6WlcfLkSbp06VLZXRFCVEH2JBdXxLOzrl0n+kQaCjqiXJcB5rk3+ok2BbZOhtYPgMbJYpBmz5J6qaIsaqMaE+ykpqYSExNDTEwMu3fvJj4+np49exITE2Ox/dixY1m6dGmp9x0zZgxLliyxqQ9nzpyhadOmVs97eXmRk5Nj072EENWTLSNGRYsbdtacMJ26MqNC9nlI2sfWqy0sTr8NbBtkU9+kwKCorWpMsPPmm2+ydOlSNBoN9erVK7V9REQE7u7Wl4IeOHCAuLi4Mk0RBQcHM3iw+ZBzSc8TQlR/tuYCFR2JaUCmTfc+8scJJvyUbZaTk5KVx1c/n7HpHlJgUNRWNSbYGTp0KA8//DD33Xcf69evZ9y4cSW2HzNmDGPGjLF47sqVK7Rq1Qo/Pz8mT55sd19atmzJF198Yfd1Qojqy1qCsKWdzIuOsKTib9P9v/wtt8RtLjQKqKrl+jtSYFDUdhUS7Fy8eJETJ06QkZFBXl4ePj4+BAYGEhoaipeXV0U8kqFDhzrsXlFRUSQnJ/PFF1/QsGFDh91XCFEzWFr6XdKeWwqmO5kXHWE5qGvNBTWAIDIs5OzoN/NMVeqy9UqzEvtkKKdTvOCgFBgUwoHBzvbt2/nvf//L5s2buXjxosU2iqLQtm1bBg8ezOjRo2nRooWjHu8wx48fZ8GCBXTu3Jlnn322srsjhKhiLE1VBXi5kHG1wOo1xROEw5oG4O/hQua1AnRomF4wmoUuc9GppknKhgAm6voodDbUgO3duj5/JF8x6VuQ1NkRovzBzvfff8+0adNISEgAoKSV7KqqcvToUY4dO8ZHH33EAw88wKxZs7jzzjvL2w2HeeGFF9DpdHz22WcoivwWJIS4ydpUVUmBTlGG6SsnjcK4bk35144/AdimC2NCwSR9nR1uJiunUJfpBaPYpguz6f67TqTx+RP3UsfLrVKW1AtRVZU52ElOTmbUqFFER0ejqioeHh5069aNe++9l2bNmhEYGIiXlxfOzs7k5+eTlZVFcnIyJ06c4MCBAxw9epSNGzeyZcsW3njjDd5//300msrdvWL58uXs2bOH8ePH06FDhzLfZ/fu3Xh7exMSEkJ4eDjjx4+nR48eNl2bn59Pfn5+qe2ys7PL3D8hhP2KrqAqq6LTV//o3YJv9iWSmasPlLbpwtie39FYQTkVfw7qWhtHdLzdnMjJ15b6jKnrjnPonX4S4AhRRJmCnV9//ZUHH3yQtLQ07rnnHl5//XUeeeQRu1YbnT9/nsWLFzN//nxmzZrF/v372bBhA97e3mXpUrllZWXx5ptv4uXlxfvvv1+me3h5eTF69GicnZ1JTU0lNjaWZcuWsWzZMp566in+85//4OTkVOI9Zs6cyfTp08v0fCFExSmtlk1JLCUIO2kUZj18F8/f2LoCQIeGX3ShFu9hS6ADcDm3gF9Op9OtRemrUstFp4WkfZBzEbwDoXFX0JT8802IymL3UMqhQ4fo27cv165d44svvuDw4cM8+eSTdi+rDgkJISoqilOnTjFq1ChiYmLo168f165ds7dLDjFt2jRSUlJ4+eWXCQ4u29x2/fr1Wbp0KV999RUbN27k/PnzfP/99/j6+vL1118zbdq0Uu8xZcoUsrKySv04e/ZsmfoohCibstaoKSlBOLJtMF+MbI+/p0s5e2dq/6l0h97PTPwGmNsWlj4I/xuv/3NuW/1xIaogu4KdzMxMxo0bR6NGjTh48CDPPvtsufNa/P39WbJkCYsXL+avv/7i9ddfL9f9yuL48eN89tln+Pj48Nprrznsvoqi8MgjjzB//nwA5s2bR15eyT8w3dzc8PX1telDCHHr2FqjJsDL1eTfQX7uJe5LFdk2mNh3+vFK35b4ezgq6KnAXYDiN8Ca0ZB9wfR4drL+uAQ8ogqyaxrL39+fY8eOVUhHnnrqKZ566qkKuXdpXnnlFbRaLc888wwBAY6vQ2FYFn/16lV+//33cuUDCSEqR1jTAIL93EnJyiuxls3uNyKITbpsV4Kwk0bh5b538I/eLTiYmMHPJ9P4d/SpMve1S7MKmsLSaWHrW1gOpsy3thCiqqjcjOAqYOfOnezYsQONRsPLL79cIc8oLCw0/r20kR0hRNXkpFGIGqTPpykeuhSdqnJ11tCleV2GtAuhS/O6diUKG/bruiPQp8z9dHfWkJqTz/5T6Wh1Dh7hSdpnPqJj4ubWFkJUJQ4Ldv71r3/Ru3dvPvvsM5vaP/bYYzRr1ox169Y5qgtlMnv2bAD69+/P7bffXiHP2Lt3L6Cf1rrjjjsq5BlCiIoX2TaYhSPbE+RnOqVV2lSVvcqzrUNeoY5X/hvHiEW/0H32LrYeT3ZInwB9MrIj2wlxizgs2Nm4cSO7d++mTp06NrW/7777OHPmDDt37nRUF+yWnJxsfP4TTzxh0zV9+vShdevWjB492uxcdnY2Wq3piomTJ0/y6quvAvrprAYNGpSz10KIyhTZNpi9b/Xm22fCmfd4O759Jpy9b/UuPdDRaSFxDxz7Xv+nzsLqqhttOl/dxUCfkzihK1dfDVtVOCzg8Q50bDshbhGHVVD+66+/AOjUqZNN7SMiIgA4ePCgQ56/dOlS9u/fD2AscPjnn3/y/PPPG9sU369qy5Yt6HQ6FEVh4MCBNj3n1KlTJCUlERRkvsvw2rVree211+jcuTOBgYGcP3+ePXv2kJeXR7t27fjyyy/L+vKEEFWIYbrJZvEb9LkuRaeAfBtC5GwIHWzWRgN8DlxwC2BGwWi22lhUsDhLW1WUS+Ou+n5nJ2N1Fy7fhvp2QlQhDgt2Ll++DOiXlNuiSZMmAJw7d84hz4+Ojmbp0qUmx5KTk00CjOLBzoEDBwC44447qFvXjh9cVjRq1IiQkBD27t1Lbm4u/v7+hIeHM2zYMJ5++mlcXV1Lv4kQosopvheWXVWJDauXigcHhtVLw5fp/22hTbBymYWuc3n++iSbqygXV3yrinLROOkDtDWjsboLV+QsSU4WVY6ilrS/gx08PT2NlZJtKQyYnZ2Nv78/rq6ukrRbBtnZ2fj5+ZGVlSXL0IWoQJb2wgq2db8pnVZff8ZqUq8CPsH6OMFKGxWF655BbO33I/W8PXntuyNczLa8Iqwk8x5vx5B2tv0yWiqLI1Uh+kDHMFIlRAWz533QYTk79erplzru22dbFv6ePXsA8PPzc1QXhBDCoQx7YRWvnGxzLowtq5euXCixjYKKW24yQ/yT6HZHPd4bbHlFWGnKk/RsJnQwTDoOY36AR77S/znpmAQ6ospyWLDToUMHVFXlnXfeKXVvp2vXrvHuu++iKAodO3Z0VBeEEMJhStoLy3Bs+sb4kpd3O3JV0o17WVsRZo2CfiSq6FYVDqFxgqb3wV2P6v+UqStRhTks2Hn44YcBiI2NpV+/fpw8edJiu5MnT9K/f3/i4uIALK5qEkKIylbaXlhFc2GscuSqpCL3Kr4i7JW+LVEouf6PbAwqajOHJSg/8cQT/POf/yQ+Pp6ff/6Z1q1b06VLF9q3b4+fnx9Xrlzh8OHD7Nu3D51Ov5wyIiKCxx57zFFdEEIIh7F1L6wS29myesmYs2PfCqfiK8JaBXmb5Rb5ebgwrlsT+oWarx4VojZxWIIy6JefR0REcOGCfv7Z0r5ZhseFh4ezdetWSa4tI0lQFqJi7T+VzohFv5Ta7ttnwkte5XRjNZZ+GfjNH7cqin7kxWQ1lv7MTTd+hg5fZlM+jFan8u9dJ/nm50QyrxUYj9ucUC1ENVIpCcqgX8J9+PBhRo0ahbOzM6qqmn3UrVuXDz74gJ9++knepIUQVZZhLyxrkz8258KEDua3LvNIxbTdRQL4rcs8fRATOlgf0PgWC0Z8G9oc6ABsj09h7o4/TQIdqIDigkJUMw4d2Snq8uXL7NmzhzNnzpCTk0OdOnVo06YNXbp0wcXFUTv71l4ysiNExTOsxgKL4y02bRFhuIeCjjDNCRqQSSr+/KprjQ6N6T10Wv0KrpyL+hydxl1tTvzV6lS6z95lNc/IsFHp3rd6S/6OqBHseR+ssGBHVCwJdoS4NcpTZ+dWBiDlnnYrR6AlRGWw533QYQnKQghRE0W2DaZfaFCZKijbs6KrvNWNy5VQbct2FkJUYxLsCCFEKezeC+sGh6zospGtRQPN2tmynYUEPKKac3iwo6oqGzZs4H//+x+//fYbaWlp6HQ6AgICaNu2LX369OHJJ5+UqRchRI1UdB+tS1dKLrBq4IjqxoaE6pQsy1tJGKbMTBKqdVr9iI7V0okKbJ0MrR+QKS1RrTk0Z+fMmTMMHz6c2NhY4zHD7YsuQ/fx8eGf//wnzz77rKMeXetIzo4Qt4Y9m4Bayu/RKGCtyLItOTv2Pt+uhOrEPbD0QcudK2rMD/oqyUJUIZWSs5OZmUmvXr04e/asMcBxdnambt26ODs7k52dzZUrV4wdnDBhAklJSXz44YeO6oIQQjiUPcnJhkCjeFxTUqADFqob30gU1l1JYe2fhXx03J+MPF2pz4ebW0kU73OQtWts3c7CkdteCFEJHDayM2XKFGbPng3oqylPnDiR9u3b4+x8M566ePEi27Zt4+OPP+b3339HURR27txJr169HNGFWkVGdoSoWNaCF0ujJKWtugLzEZ4gXzdGhN1Ok3peN0dsTmw0SxS+oAYwvWA023RhZs+3ljht82iQjOyIaqxSlp7feeed/Pnnn0yaNIlPP/20xLb5+fncf//9/PTTTwwdOpS1a9c6ogu1igQ7QlQce5eM27rs+90H7qSejxtnLuXy7cG/Scm+ef/HveOYWfgx+trKNxkCpAkFk0wCHj9PF9ydnUzuYXelZJ0W5rYtfauKScckZ0dUOZVSQTkpKQmAV155pdS2bm5uxlGg/fv3O6oLQgjhEPZuAmrraqp6Pm64OWuYu+NPkyBFg46JBYtRVdWsYrNhQCbKZTkadMbnZ+YWmNwDylApWeOkX14OWN1GNHKWBDqi2nNYsOPt7Q1A/fr1bWrfrl07QJ/rI4QQVYm9S8ZtXU1Vz8uN6RvjzcZQwjQnaKhkYK10j0aBhko6YZoTJd7fcN/pG+PRWksWKs5BW1UIUZU5LEE5NDSUPXv2EB8fz7333ltqe0OQ07BhQ0d1QQghHMLemjW2LvtGweKIUQMybXueDe3KVKgwdLB+eblUUBY1lMNGdsaPH4+qqvznP/+xqf0PP/wAwMCBAx3VBSGEcIiybAL6eKfbrQY6oF91dSnHct2dVPxt6pet7aAMhQo1Tvok5Lse1f8pgY6oQRwW7IwaNYqhQ4eyaNEidu3aVWLbvLw8PvzwQ3x8fJgyZYqjuiCEEA7hpFGIGhQKWM1kMS4Z33o8me6zd/GvHX9avFcdLxc+e+JeItsGU8/bzWKbg7rWXFADrC5T16lwQa3LQV1rm19DPS/LzxKiNnLYNNZPP/3Eiy++SHJyMg899BBfffUVDRo0sNj2P//5D0lJSUydOpWTJ09y8uRJszY9evRwVNeEEMJuttSssbY8vaiMqwW8v+kPAM5nXrPYRoeG6QWjWegyF52KSe6OIQCaXjAK3Y3fTz1cnMgr0Jb43Ne+O8J7g+1YmSVEDeawpecajcZYJVlVVZOKyXZ3SlEoLCx0RLdqLFl6XjJ7qs4KURJrX0u21Nax1/2ag0S5LKOhkmE8dkGty/SCUcZl57ayWjVZiBqi0nY9Lxo3OXAXCiHsYk/VWyFKY20T0NKWp5fFNl0Y2/M7EqY5QQMyScWfg7rWxhEde9zY2YrpG+PpFxokwb6o1RwW7HzzzTeOupUQZWZtWsFQf0R+yxWO4oidyi3RoeEXXahD7lWmlVlC1EAOC3bGjBnjqFsJUSZanWqxhgnIb7nC8RyxU/mt4qjATKaHRXXl0GksISqTPVVv5bdcUV6l1dapShyxMkumh0V15rCl52UVFxdX2V0QNYS9VW+FKI+SlqdXNa99d8T2LSQsMEwPF/9lwu7tKYSoJA4Ldi5fvmz3NbLjuXAke6veClFehuXpQX5V+2vqYnbZg5LSpofBzu0pKoFWp7L/VDrr486z/1R6le6rqBgOm8YKDw9n06ZNtGjRwqb2q1evZuzYsRQUFDiqC6KWs7Vkf9Gqt0KUV2TbYPqFBhlzWc5cymXJvkQu51adn23lyVmr7tPDMv0mwIEjO3/99RddunThp59+KrXt3LlzGTlyJNevX8fZWdKGhGPYU/VWCEcyLE8f0i6El/vewYG3+xLg5VrZ3TJRfKd2W1Xn6WGZfhMGDgt2mjZtSnp6Ov3792fp0qVW27355pu89tpr6HQ6vLy82LBhg6O6IITVaYUgP3dZdi5uGVdnDR8MaVvZ3bDI3qCkuk4P14TpN+E4DhtWOXjwIIMHD2b//v089dRT/Pnnn3z44YfG81qtlnHjxrFy5UpUVaVevXps2rSJTp06OaoLQgDm0wqyRFbcKkWXZl+6YnnTz+I06BxSRNBW9gYl1XV6uLpPvwnHcliwU7duXaKjoxkzZgz//e9/mTVrFidPnmTZsmUUFhbyyCOPsH37dlRVpUmTJmzbto077rjDUY8XwoS1qrdCVBRLuSGluV9zkOkuywgy2R4igOkFo+3eHqI0ZQ1KDNPDE1YcRgGTgKcqTw9X5+k34XgO/fXB1dWVb7/9lqlTp6KqKt9//z09evSgV69e/Pjjj6iqyt13382+ffsk0BFC1BjWckNKcr/mIAtd5hKomObQBJHBQpe53K85aPVaDTrCNfEM1uwjXBOPBl2JzypvUFIdp4er6/SbqBgO2wi0uGXLlvHss88aV1upqkqvXr1Yt26dbFzpALIRqBBVQ1k2BNWgY6/bRILIwFLsoVPholKXB5TPyLh2M5Dx93Sht3qA13VfF9sstOTRIEetPqpOFZQN/y+lTb/tfat3lX0NomSVthFoUaNHj6Zx48Y8/PDDXL58mWHDhrF8+XJcXavWCgUhhCgznZYT+7fS6co+UjW259uEaU6YBCvFaRQIJp15Xa7xp0c7ArzdCPJ1JyxvL5rvPgXF9O3bMBo0oWCSMeAJ8HLh3Qfb6K9zUFBSnaaHq+v0m6gYdo/s2LK0vKiEhARWrVpFVFQUGo3lHwI9evSw655CRnaEqHTxG2DrW5B9wXjI1nybwZp9zHf9d6mPmHj9H2zQddWPzDzYisjt/UyeV5ROhRTqcl/+PHRoquz00q0mdXZqLnveB+0OdjQaDYriuEhYURQKCwsddr/aQoIdISpR/AZYMxqKTZAYVjEXHWGxJFwTz2rXD0p9zOPX3zHugG7rNS+4zGDwkOHyRl5EdZp+E7ar8GmsCkrzEUKIqk+n1Y/oWMgE0Sj6gCfKZTnb8ztandI6qGvNBTWgxJydFOpyUNfaeKwBmTZ179+DGqK5EejIm7xedZp+ExXD7mDnm2++qYh+CCFE9ZC0z+pUEugDnoakE6Y5YRyVKU6HhukFo1noMhediknAYxgdml4wyiRYSsXfpu5pfIIAmb4Roii7g50xY8ZURD+EEKJ6yLloU7PSRmK26cKYUDCJKJdlNORmsnIKdZleMMpsGqy00SAAfEOgcVfjUvjiY0+GbRIkn0fUNjV2Y6q0tDROnjxJly5dKrsrQoiaxDvQpma2jMRs04WxPb+jTRWUSxoNghubfbZ9BC2aErdJKOuGoEJUZxVXk/wWS01NZc2aNbzwwgu0adOGBg0aMGXKlBKvURSlxI9Lly6VqS8rVqwgPDwcb29v6taty6BBg/jll1/KdC8hRBXTuCv4NsR8u1k9nQoXVNN8m5Lo0PCLLpQNuq78ogstcen6Nl0Y/yl80MqTQd23gJO7V9m8TYIQtYVdIzuZmZl06NCBwsJCNm7cyN133+2wjsyfP5/XXnuNsWPHsmjRIruvf/PNN1m6dCkajYZ69erZfJ23tzdPPvmkxXMeHh529+OFF15g4cKF1KtXjyFDhpCTk8O2bdvYsmULy5Yt44knnrD7nreCJDIKYSONE0TOvrEay7SCi3GDyWL5Ng57NDoGO+8zjtAUZehJo4Mz0PBJqc8vzzYJ8vNCVDd2Lz0/cuQIERER5OfnM2vWLP7xj3+Uayl6eno6L774It999x3dunVj+/btuLm52X2fdevWodFouO+++1i/fj3jxo2jZ8+exMTEWL1GURQaN27MmTNnytz/opYsWcK4ceO45557iI6Opk6dOgAcPXqU7t27k5+fz7Fjx2jZsmW5n+XIpeeSyChEGVios5PvGczEzMccvq+VQVmWrFvz7TPhZVqhJD8vRFVhz/ug3b963HPPPezcuRNfX18mTZrEPffcw/Lly8nLs++3hHPnzjFt2jRatGjBmjVr6NOnD1u3bi1ToAMwdOhQBg8ebAwwbrXCwkKmTp0KwGeffWbSj7vvvpvJkydz/fp1pk2bVin9s8banj6GRMatx5MrqWeivLQ6lf2n0lkfd579p9LR6qRkhEOFDoZJx2HMD/DIVzDmB5xfPc4vbl0r7JGB2Db11NLzqtWpLgV9cBLWNMDurxH5eSGqqzLvjXXx4kVGjRrFjh07UBQFNzc3unfvzr333kvz5s0JCgrCy8sLZ2dn8vPzycrK4sKFC/zxxx8cOHCAo0ePAuDk5MSUKVNKrLBsL8MIy60c2fnxxx+5//77adSoEX///bfZ+dOnT9O8eXPc3NxITU0t92iMI0Z2StvTR/aOqb7kt+/Ks/V4Ms+vOFzu+3i6OJFboDX++37NQT50+Yp6ypVSrz3YYymP/egCWN4mYeHI9gB2fY3IzwtR1dySvbECAwP58ccf+d///se0adP4448/2LFjBzt37iz1WlVVURSFQYMGMWvWLFq3ti2Rryrbs2cPAB06dLB4vlmzZvj7+5OZmcmhQ4fo3bv3reyeRQcTM2xOZJSCXNWHLDuuPFqdip+HK091a8KaQ+fIyS97dfgh7Rry7a9ngZs7pJdOAd+GhPUaxMIGqWbBTNCNYAaw+2tEfl6I6qzcS88feeQRHnnkEbZv387q1avZvHkzFy9arkOhKAp33XUXDz74IGPHjqVFixblfXy5JSUl4enpSVBQEJ06dWLkyJEMGjTI7vskJCQAcNttt1ltc9ttt5GZmUlCQoLVYCc/P5/8/PxSn5ednW13H4uzNUGxPImM4tbS6lRZdlxJLI2m1fF0pp6XG3+lXbX7fuvjzqEooKg6olyWAebLzU3dOBk5CzRORLYNpl9okFkiMUD32bvs/hqRnxeiOnNYnZ1+/frRr18/AC5cuMCJEyfIyMggPz8fb29vgoKCaNOmDd7e3o56ZLmNHDkSNzc3MjIy+O2331izZg1r1qxhwIABfP/993h6etp8r6ysLIASX5+Xl5dJW0tmzpzJ9OnTbX5ueTTwcXdoO1H55LfvymFtNC0zt5DLuWUb3ckt0N+tcyk7pBt51oUH/6XPJbrB0jYJ+0+ll+lrRH5eiOqsQooKNmzYkIYNG1bErR1q+fLlJv+Ojo5m1KhRbNmyhWeeeYaVK1fafc+SUqBsSY+aMmUKr776aqntsrOzadSokV19Ky6saQDBfu6kZOVZ/C3PMAdv+G1QVH3y2/etV9poWnkowG3ONo7iRs40CXSsKevXSIfGdQjwciXj6nWL7eXnhajKakxRQUeIiIgwBjirVq2ymGhsjb+/PwBXr1ofrr5y5YpJW0vc3Nzw9fW16aO8nDSKcf7eUs0OgKhBoTLdUY3Ib9+3RtFVTEt+TixxpKQ8VOBcoY3f6z625WGV5Wtk6/Fken4cXWKgA/LzQlRdNXa7iLLq2bOnMZH4119/5fbbb7fpOkOS9dmzZ622MZyrSgnZkW2DWTiyvdVERklkrV5ktK7iWcrNqUgHda255h6IR14qlseKFH2go+rg2Pf67Swad9UXP7TA3q8Ra1N0RcnPC1HVSbBjgVarX+5pT+2gHj16ABAbG2vx/IkTJ8jJycHd3d3qiq3KYi2RUX5Dq34Mo3UTVhwuVttXfvt2BFve+CtCfPDDtE9caKF2zo3/5cI8WFZkCsu3ob7Ks4VpLXu+RkqaojMI8HJh9xsRuDrLRIGouuSrs5gjR44Yp5tatWpl83W9evXitttu49y5c+zbt8/s/KpVqwAYMmQIPj4+jumsAxkSGYe0C6FL87ryZliNGUbrgvxMpyuC/Nxl2Xk52PLG72j3aw6y120iHSwGOoDHjeKl14olMGcn67eziN9g8b62fo2UlvAOkHG1gNiky7a8HCEqTa0d2cnNzcXJycmkYnNKSgrPPvssAO3bt7c4AtOnTx/Onz9PWFgYy5YtMx53cnLigw8+YOzYsbz00kvs2rULPz8/QD/a8+mnn+Lq6sqMGTMq+JUJIaN1FcGWN35HslZbR0U/Y5Xk+zgBp37CGVc8619H0RRvpcDWydD6AYtTWrZ8jUjCu6gpakyws3TpUvbv3w/crHnz559/8vzzzxvbfPHFF8a/Hzx4kEGDBhEeHk5ISAhpaWns3buX7OxsGjduzH//+1+Le36dOnWKpKQkgoKCzM6NGTOGAwcOsHDhQlq1akW/fv3Iyspi27Zt6HQ6li1b5pB9sYSwhaVlx6LsbuUbugbrtXWunHXn4mE/Cq/9hH5Xrno4e2gJbJ+Fb6OifVQh+zwk7YOm91l8TmlfI5LwLmqKGhPsREdHs3TpUpNjycnJfPnll8Z/Fw126tWrR8uWLTl06BDR0dF4e3vTpk0bhgwZwgsvvFDmqabPP/+c8PBwFixYwNq1a3F3dycyMpKpU6cSFlYxmwMKISrerXxDD7NSWyf7rDvnfzbf/6/wmkZ/vNvlYgEPkGO5yKtN/ZCEd1FDlHlvLFG5HLnruRCidIa9oay98RsUT/q1dO6VvneQfvU6y/YnWWw3WLOP+a7/Njmm6uDkxkAKr2kwLxYBoOLsqaXFg6mmU1pjfrA6smMLQ1I2WN9nS/LARGWo0F3PhRCiNiqtLpUCPNejqVnSb1FBfu58MbI9L/dtyYASAoRU/M2O5aa5UnjNycLTb/aiMNeZ3DRXAFQU8A3RL0Mvh8i2wSx88h4G+JxksGYf4Zp4NOgk4V1UKzVmGksIISqaLXWp3oy805j0W8/LDRS4lJNvlgAc1jSAIF83UrLN98I7qGvNBTWAIDKMOTuFeZbr5hRXmOeETgVQiWvzFvdaqbdjs/gNRG5/i8iCC6CPo8j3DML5gX/i1EYCHVE9VGiws23bNrZt28bTTz9NaGhoRT5K1GJanSqrjsQtU9IqJnu+FrfHp3Alz/K+WTo0TC8YzUKXuehUfZKys7vWpv45u2tJoS4zCkZx5PBt7O2nlv37IX6Dfgl7sYk5t9yL8N0YUJbZtEWFEJWtQoOdNWvWsGTJEiZMmGB2LiEhgY8++ogzZ87QokULXnjhhSpXbE9UfZaq2QZLNVdRwSytYrLna9GW4oTbdGFMKJhElMsyGpKBZ/3rOHtorebsqECOhwdP+7/OgfxQdGigPJu+6rSw9S0sZyCVvrRdiKqkQhOU7777bjw8PDhw4IDJ8YsXL3LnnXeSlZVl3BzT2dmZpUuXMmLEiIrqTo0iCcrW3zAkcVLcavZ8LRoSnW2t2aNBR5jmBA3IJOB8JsMP7ELFNOFSd+NZH4SNYV/Du0yun/d4O4a0C7Hthei0+qXqORf1H9veLv2aciZAC1FW9rwPVujIzoULFxgyZIjZ8c8//5zMzEzat2/PK6+8woULF5g9ezbPPPMM3bp1s3k/KlF7lbbTtAJM3xhPv9AgmdISFcrer0V7ixPq0PCL7kYaQDD8GdaI54+uo35elrHNJQ9/vrxriFmgA3YsmY/foB/Jyb5gc9+Aci1tF+JWqdBg58qVKwQGBpodX7duHYqi8N///pfmzZsD0LVrV+677z4+++wzZs+eXZHdEjVAaW8YKpBcniF8IWxk79dieYsT7mt4F78Et6HNpdME5F8hw82H3+s1Q2daQhkFHfXqnycd+DWlAe0btMfJ2nSTldwcm3ib/4wXoqqp0GCnXr16XLhg+lvC5cuXOX78OHfffbcx0AHo1q0bXbp04ccff5RgR5RKytiLilCWZHd7vxbrebuV0rJ0OkXDsfotrJ539jmOW+BG8lyymLJXfyzQM5DJYZPp27hvsZuVlJtTEkW/4Wg5l7YLcStUaLDTsWNHtm3bxvXr13F11a9Z3L59O6qq0rt3b7P27dq1Y8WKFRXZJVFDSBl74WhlTXa3+2uxgsu4OvscxyNkhVkOc2puKq/GvMqcXnNMA56kffZPXRluHjlLkpNFtVChRQWfeuopLl68yKuvvkpBQQFarZaFCxeiKAr9+/c3a1+nTh2uX79ekV0SNYShjL318mr6NyopYy9sYUgwLj4dlZKVx4QVh9l6PNnqtaV9LYLp1+Klq+Z1dRzh3Qfu5F+P3UXDZtss1h1Ub0RZsw/ORqsrsoy9LDk3vg1huCw7F9VHhQY7Q4YM4eGHH+bzzz+nbt261K9fn59++ong4GD69u1r1v7ChQs0aNCgIrskaojSqtkCRA0KleRkUarSEoxBn2Cs1Vkekin6tWjN4HuCjV+LFTHaGOznzthuTbkt+CKXr6dZbaeikpKbwuHUwzcP2ppzc/9H8MhX+tVXk45JoCOqlQrfLmLVqlVMmjQJgMzMTPz9/fn6669xcjIf+tyzZw+NGjWq6C6JGsJQzbZ4eX4pYy/sYU+CsTWRbYN5tkdTq+f/81OicXTIlpGgkmjQEa6JN9m6oW2IL04ahbRc64FOUSbtGnfVj9SUNE7qGwKdn4e7HtUvM5epK1HNVPh2Ea6ursyZM4fZs2eTlpZGUFAQGo15jLVnzx5OnTrFY489VtFdEjVISdVshbCFI5LdtTqVDUesT3UBvLfhd3zcXbiUk8/jnW5n7o4/S9w01JL7NQf1RQaL7Ih+QQ1g+onRvLRKQzMbq3bU96x/8x8aJ4icfWM1VvEeSW6OqBnsCnaefPJJ7rnnHtq1a0e7du3smnJycXGhYcOGVs+fOXOG7t27M2jQIHu6JITFarZC2MoRye6/nE4vdXQoJTufJxffLLDq7+kCQGZugfFYHU9nrheqXL1uvjXE/ZqDLHSZa3Y8iAwWusxlwnGYd7QjXi380DhnWRyoUVAI9AykfYP2pidCB+tzcIrX2fFtqA90ZMpKVHN2VVDWaDQoys3voMDAQNq1a2cSALVs2dKkjagYUkFZCMcwVDROycqzOMqioJ8a3ftWb4sjhluPJzP5f8fIvFZgfrEJHU6eiSjOV1ALfdDlNkVFwyt97yDrWgHr4i6QcdXyAg0NOva6TTTZGNTkziqkUJfu+fPQ+MTjHqJf1Vr0R7FyI/oxW41VVOF1+HURXD4DdZpAp2fA2bWU1yVE5bDnfdCuYKd169acPHkSnU538wbFAhsPDw/uuusukyDo7rvvxtPT086XIUoiwY4QjmNYjQXmkzgq8FS3JvQLDTKbIrVljyu4WfdG43Kz6rGuwI/8i4Pw1t5LVm5BifcI18Sz2vWDUl/H49ff4RddqMXnBXkG8VbYW9YDHUsVlH0b6qe4ZGRHVEEVFuwA5OXlcezYMY4cOWL8OHr0KNnZ2TdvWiwAUhSFFi1amI0CBQdLAmlZSbAjhGNZqrOjUfSjJgZF6+7YuseVs89xiyMthp+8eedHUnilbYn3GKzZx3zXf5f6GiZe/wcbdIYif/qRpIn9g+japGkZKyjf6LAsMxdVUIUGO9acOnWKF198kR9//NH6w4oFQfXq1ePee+9l69atjuhCrSLBjhCOZ6igvCM+ha9+PmN2vujGnn4eroxY9Espd9Th1WI2inMWlmb3VRXUQj+unnyLkhbH2juyU1SpG4EWXoc5d0LuJSsNblRKnnRMkpRFlWLP+6BDlp7rdDpeffVVtm/fTvPmzfniiy/4+eefOXbsGNu3b+eDDz4gLCwMVVVNPtLS0ti+fbsjuiCEEOXmpFEIaxrA5uMpFs8XrbuTkl36Ki4nz0Q0LpYDHdCP9GhcsnDyTCzxPgd1rbmgBmCl1A86FS6odTmoa212rsQE7PgNMKd1CYEOgArZ5/WVloWophyy9HzBggVs3LiRsLAwdu/ejZvbzb1f2rRpQ58+fXj77bf59ddfmThxIgcOHMDb25sRI0Zw4sQJR3RBCCEcwta6Oxk5pVdCVpyv2PTM0trp0DC9YDQLXeaiUzFJUjYEQNMLRqEr8vurIbG6aBXxont/tb4cQ8vdL6LYuvhddjcX1ZhDRna++uorFEVhypQpJoFOcZ06dWLv3r2MHj2anJwcTp06xe7dux3RBSGEcAhb6+4EeLkS7FfysnV3bJtiVgt9Sm2zTRfGhIJJpGC6BUoKdZlQMIltujDjMUtVxLceT6b77F2MWPQLr6w+jE/MO8YtJGwiu5uLaswhIzunTp0C4PbbS69o5eTkxOLFizly5AjR0dF8++23jBgxwhHdEEIIoGy7lxvYWncnyM+DwfcE8+VPplNQGnSEaU7QV4llcP5enij0IdXJCdXCXJYhZ0eba736clHbdGFsz+9ImOYEDcgkFX8O6lrj5+kGRer1BPq68d7gNsYq4sVXjYVpTpgUJiyZ7G4uqj+HjOx4e3sDcPbsWZvaOzs789JLL6GqKt9++60juiCEEIDpCMbLq+MYsegXus/eVeJmnkVdvppvsZaNgWGT2Q6N67Dut/Mm5+7XHGSv20RWu37A0y5baKBcYXL6Zf11xdaCGP6Zf3EQ9vwo1qHhF10oP+jCAXhQ8wvtdb+jQVek1c0XYGnvrwZk2vw8QCooi2rPIcFOp06dAP0+WLa6++67ATh8+HApLYUQwja27F6u1ansP5XO+rjz7D+VbrLB59bjyby46jericCgz9mJGhRKbNJlLl65WQTQUOE4CNMRk76515iTeokGWtOqyGqhn03Lzi0pGlTNd/03X/Eee90mcr/mIAAXs2++Xks5SKn42/ScPNcAEnp+hra1VLYX1ZtDprHGjh3L5s2b+e6773jkkUcYNmxYqddcuaJPyEtPT3dEF4QQDlSeaaDKUtru5QowZe0x3tvwOynZN5OLDbVz+oUGWb2+KMM2D0VzezToiHJZpv+7hU9T39xrRORe47C7G2lOTtTXavkkeyQHdGULdErcNuJG/o6CftXYm5HmK7QMq7usVmQGMlRfwrPnUrjNmeBfdhnrCwlRHTlkZOfRRx+lb9++qKrKE088wYcffkhBQcml07/55hsAqawsRBVT3mmgymLLKqrLuQUmgQ7cHPX5966/Si0QCPq9rCasOMyZS1eNxww5MCXFg05Ap7x8Bl7NpVNePoFkW29sgUbVcU/aX0y5sILcVFeUYlGZ4dlRLsvRoCtx1ZhhdRdgNoqlUwEVphY8ReGN34eLjowJUR05JNgB+O6772jfvj1arZZp06bRsmVLZs6cye+//27S7tSpU4wZM4YVK1agKApdu0rSmxBVhS3TQFWVrauoijO8139joYhgSb49+DcNvPX7RtmbA6MFEj3ycPaNw8nzFJjk25jreuEYS7Z9yKyfv+TaL66cja7HyY2BZJ81TabWKNBQSSdMc7Okh2HVWPE4zJ7VXUXrC2lLmuMToopyWAVlgPz8fF588UW+/vpr/c1vrD7w8PCgXr16ZGRkcPWq/rchVVVxcXFh9+7dhIeHO6oLtYZUUBaOVtr2B6VtiFnZ9p9Kt6GisWO90rcl/9rxp80VjgF+9PBgZr26XHK++bumYZ8sS/k7XS8c452DSwHTjcxVVBQgpNtlfBuZ/p8V3Tbi22fCybp23ereXxp0fNtfi7/uMtN2XeKgrrVJvZ7ivn0mnC7N69r0WoWoSLe8grKBm5sbixcvZs+ePfTp08dYKTk3N5e///6bnJwc4zF/f39Wr14tgY4QVYStxfQOJtq6ZPnWCmsaYHEEwx7+Hi52Xd+knidfjGzPcec2JVY4NvjRw4PXA+txycn0R6/inIV7yAqcfY4bj2nQ0UU5zivH1ujbFLuXgoKKQlKcP2qxgaFU/I2rxsKaBhDZNpiFI9sTVKwuUJCfO5+N7EhY76H8Ua8/v+hCSwx0oOwjaEJUJockKBfXrVs3tm/fTnJyMlu3buXIkSOkpKRw7do1GjRoQHh4OMOGDZMRCSGqEFvfxKrqm52TRiFqUCgTVhw27lZur3HdmjJ3x582t2/g406X5nXpFxrEptVv8WDCW2YVjg20wMx6dfXjMcXOK4p+Kbpb4EYKr4Ryv+YQUS7L8EvN4e9r9aw+XwGcr2rYc8WHHn5X0Kn6aahfb2wbUbSoYGTbYPqFBpknnqODxD3ceekk4ZrSR3ZsrUMkRFVSIcGOQXBwMOPGjavIRwghHMTWN7Gq/GZnGMEovnt5sJ871wq0ZOUWWAyCDFN0/+jdglZB3kStP26yrNxae8NWDNvjU3j5aCM2aSYR5bKMhkWWn19SfTkVNIB5V+twyXmz9XsqoLhkEe61hYWFKwG4kudh0+ve5ORDF/UKTui3jWjg52lx9ZSTRjGdgorfAFvfguwLtARWu8IFNYDpBaNNcnYsvWYhqpMKDXaEENWHYRooJSuvxICgqr/ZWRvB2B6fYnHUx9LWCopifWSjePuiS94tVTj+VdeaBpmeTBmWx7GfrQc7BoPctkOhfnTI2V1banuAM74adrjU53rj1xnbeZhtpQLiN8Ca0RQfAyu+hN3SaxaiupFgRwgBlDwNVN3e7MxGMLA+6hN0o85OZNtgs20VLCnaHsxznQwVjotKzsojI8v6voFFtdRlGafBPOtfp9BLh+aqxuLEkg7I8IE/GilEZT7N/sefs+3/R6fVj+hYeKUaRX/fKJflbM/viA6N2WsWorqRYEcIYWRLQFCdWc1bKTZCY02Alwu734jAtchKKltzmJLOB6Ir8ENxzsLCNln6nJ1CN9rn3ayLo2igIOwq7tE+6DBdUaJDH4Qu6adB1SiMCW9neyCatA+yL1g9rUG/hH1Zn0KcmvWoFkUlhSiJBDtCCBMlBQQ1gaVRHyh9NRpAxtUCYpMum1xvaw7T+iMp5GsG4R6yAlXFLOBRFNAqKtGeHvTNvWY8fk/gFd4c4sPQXVDvSpG++OgDnYMtNfi71Of5zv1s6gcAORdtatY9SAuyzFzUABLsCCHMWAsIarKyrkazJdepjpcLGVevA23JOz8St6C1KM65Zm0Lna7zSoN6fHrxEv2v6QMeJ2BA3cv8Y0Jd7jwL/lfhsrd+6kq9EYA+3vwl7Kok4h3o2HZCVHEOrbMjhBDVVVlXozlpFAbfE1zi9NdD7UKMfy+8EgqqM5bKuepHexT+Wa8OBUXO9829xsdp6Vy6TcfPbTTEN9ZPXekK/Lh2biQf/5+rfVt6NO4Kvg0xr95j7An4hujbCVEDSLAjhKjVDLugp2RdI8DLtaS3f2ORvqK2Hk/mPz8lWr3/sz2a0jc0yPhvJ89ENC7ZFvN2DA+66OzMDvf6Jofb5nrS7NQwcpOe4dr5x8lNeoarJ98yVl22a0sPjRNEzi7yyoq/UiBylr6dEDWATGMJIWqtrceTzZKxLbG2Gs2WpOYNR5J5rX9r41SX4nylhNY3TVTH0uG6m3EJu7HYn/nsF3BzZ/f3NvyOj7sLl3LyaeDjTofGdYhNukxq1lUaJiXQwjkf1wYN8Oz4AMrwZcY6O0a+DfWBTuhgm/opRHUgwY4QolayZZm5gbXVaLYkNSdn5RGbdNm4rF8t9LGpf7pCX37RNbeprYEKpGTn8+TiA8ZjGgXCzx/j+aPr8M7LIuXGceegIALfnoLvpOP61Vk5F/U5Oo27yoiOqHEk2BFC1Dq2LjN/98E2BPlaX41mT1LzkHYhPNujKYv26Epdgq4W+qHNbWrjqylZ+PmbG4kWVZCSwvmXJ8G8ufj27++QZwlRVdXYnJ20tDT2799f2d0Q1YAhZ2N93Hn2n0pHW9pujuKWqMj/F1uXmQf56ve+MgY6Oi0k7oFj30PiHhp4udj0vAY+7sbcHp2qIf/iIACzJGXDv/Xny//jWaPqeP7oOsByZo5OVUma/gGq1rZKzUJUVzVmZCc1NZWYmBhiYmLYvXs38fHx9OzZk5iYGIvtL168yJo1a1i3bh2nTp0iOTkZf39/unTpwuuvv0737t3t7sOZM2do2tT6b2NeXl7k5OTYfV9RcSzlbATXkAJ61VlF/7+UaZl5kX2kDMJ9G/K490j+m9PO6iiRv4cLhVod7224OZJUeOXGEvTAjSguWca2aqEf+RcHobsSSrgm3jxfx05tLp2mfl6W1fMaQJOeRsx3PxLx+AC77y9EdVFjgp0333yTpUuXotFoqFfP+i7BBmPGjGHbtm2EhIQQHh6Ou7s7sbGxrF+/no0bN/LZZ5/x/PPPl6kvwcHBDB5sntzn7l51N1CsjazlbBhWtSwc2V4CnkpwK/5f7F5mbmUfKbKTmcnHZGpeZpsuzGLAk3mtgFFfHzQ7XnilLYVXQnHyTERxvoJa6IM2t6l+x3O3iTRUbm4mam1zztIE5NuWDL1+51F6DI+sMYUjhSiuxgQ7Q4cO5eGHH+a+++5j/fr1pe623qVLF1555RX69++PcmPiXKfT8c477zBz5kxefvllBg4cyO233253X1q2bMkXX3xRptchKp5Wp/LLqXQm/++YxTcnw6qW6Rvj6RcaJG8At1BJuTSO/H+xa9PTEvaRUlDRAbO9V3GoMJxLuTo7e6JBm9v8xt90vOS0jledvzdrZWlzTltkunnb1C5R58bBxIxaV0hS1B41Jmdn6NChDB48mDp16tjUPioqivvvv98Y6ABoNBref/996tevz/Xr19m0aVNFdVdUkq3Hk+k+exdPfnWAzGsFVtup6FfRHEzMsNpGOF5puTSO+n8xbHoKVqvM3FxmbsM+Un7XU2mRd7zM/blfc5C9bi/xmsv3KIr5VhKGuC7KZTkabA+oPBvk4+yhxVKgpqfi7FmIZ4N8m6f2hKiOakyw4yhOTk40adIEgIwMeaOrSQzTI6UlphYlbwC3Vlm3bCgLw6anQX6mU1pBfu6mU2U27iPVgMwy9eN+zUEWuswliMslttMo+s05wzQnbL53fSWbwPaGnJ3iAY/+34H3ZlNfybZ5ak+I6qjGTGM5SmFhIadPnwagcePGldwb4Si2LDW2RN4Abq2ybtlQVjZtemrj/lCp+Nv9fA06olyW6f9u46ycPUFVKv74NsqDbpe5eNiPwms36+c4e2oJvDcb30Z5FLo0MKsMLURNIsFOMatXryY9PR1vb28GDRpUpnvs3r0bb29vY/Lz+PHj6dGjh03X5ufnk5+fX2q77OzsMvWttrJlqXFRJjkb4paxK5fGQUrd9LRxV665B+J27aLFgESnQgp1OahrbfezwzQnTBKRbZGGr80rtQ7qWnNBDSDotgx8QvLITXOlMM8JZ3ctnvWvoypwQa3L4MGPSG6aqNEk2CkiKSmJSZMmATB37lz8/Pzsut7Ly4vRo0fj7OxMamoqsbGxLFu2jGXLlvHUU0/xn//8ByenkiuTzpw5k+nTp5f1JQgr7Jn2sLY1gKh4hlyaCSsOo2A68VJp/y8aJ/7uHMUdMS+gU01HYAylf6YXjDILODToCNOcKDEosWeURqdCJt7McfmCYBtXaunQML1gNF+4zgUFvAKvm9xPUeBilygi77rN5n4IUR1JsHPD33//Te/evUlPT2fmzJmMHz/e7nvUr1+fpUtvVipVVZW1a9fy1FNP8fXXXxMUFMSHH35Y4j2mTJnCq6++WuqzsrOzadSokd19rK3smfawtjWAuDUMuTTF6+xU5v9Li55P8PbPZ5hYsJiG3Aw0UqjL9IJRZoHG/ZqDRLksK3X5uK1TX4agqg45ZiNehpVaLxRMJBNfk+BqZJemDGgbji6vPU7bJpskWhd4BeP8wGzubTME0E/1ljidJ0Q1JsEOEBcXx8CBA0lLS2Px4sVlCnQsURSFRx55hJycHMaOHcu8efN49913S6y34+bmhpubm0OeL24qbXoE9MXfPnuyPeHN6soP+UpmUy7NLeSkUeg19CnuW3E3nUoZrTEkHBdXfPm4Bh0KOi6r3viRU2LOTgp1cKcAfwvtNIo+GPrM5d84KTdXal1QA7ji+wGtmrcFhkCrAfDrIrh8Buo0wa3TM+DsCkhxTVHz1fpgZ//+/QwYMACtVsvmzZvp16+fw58xdOhQAK5evcrvv/9Ohw4dHP4MUTJbpkdmPXIX3VqUXpBS3Bql5tLcYpFtg/lsZEemb/TkFyv5X4aEYwXLy8dV9cby8QKVd12Wm4z8qKrpNYbRnH8VPsIhtRXfun5ktW/6AMh0SXqQkkHw7hch8MbGo8V3N9//b4iczVZdJymuKWq8Wh3sHDlyhMjISAoKCti5cyddunSpkOcUFhYa/56XJ0uZK0tVnB4R1YulEafLV6/z/ib911RpCceKAg1J53OXeaWuDEzh5rTXYM0+u/tqHG/a+DJcu0zxpedqdjKsGU2M8xuotDO73tHFNbU6LYdTD5OWm0Z9z/q0b9AeJ9ldXdwitTbYycjIYNCgQWRnZ7N06dIKC3QA9u7dC+inte64444Ke44oXVWbHhHmqnruiKURp/vb6r+mnH//Gw7bdp/iL8l8B/SbwUmmk23FUs2pcM1y8GWo/jyx4CvWMM/iiq6iRRzLM8q2I2kHsw7O4mLuzZpFgZ6BTA6bTN/Gfct8XyFsVWuDnUmTJnH27Fk6duzI6NGjbb6uT58+nD9/nrCwMJYtW2ZyLjs7Gy8vL5MVVydPnjQmHA8dOpQGDRo45gWIMqtq0yPipuqaO2L8mkq1rbqxeWBjLojLxhyf7QUduaAJIIgMm+vx2ELDzUKFv+hCrbYrTxHHHUk7eDXmVdRiI0upuam8GvMqc3rNkYBHVLgaE+wsXbqU/fv3A5CQkADAn3/+abKZp2G/qtTUVFasWAHop5isbfg5ZswYsxGfU6dOkZSURFBQkFn7tWvX8tprr9G5c2cCAwM5f/48e/bsIS8vj3bt2vHll1+W/4UKUUPViI1Zveo77FaGxOMol+Vsz+/I9ILRLHSZa7b83RFKWwJf1iKOWp2WWQdnmQU6ACoqCgqzD84molGETGmJClVjgp3o6GiTZd8AycnJJgGGIdjJzc1FVfXffHFxccTFxVm8Z3h4uF3TW40aNSIkJIS9e/eSm5uLv78/4eHhDBs2jKeffhpXV1c7X5UQtcOt2gC0Qui0+v2zci7C1TSH3lpzI8cnTHOCbbowJhRM0i9pL7L8Xatq9Cu7yvFpsbYEvrxFHA+nHjaZuipORSUlN4XDqYfpFNSpTM8QwhY1JthZsmQJS5YssaltkyZNjMGOvc6cOWP1XJ8+fTh69GiZ7itEbWbPBqC3YgrS5ryh+A3mq5wUDaiWp7N0KqhoUNDZNTpjGHnZpgtje35Hk2KFdbjCZy7zUM1GfPTrDvNd/XHJz7S7+rMjijim5doW/NnaToiyqjHBjhCi+rqVG4CWxua8ofgNsGY0ZhtslhDoACwqHMizzj/YNR1VdORFh8Ysv8bSiA++DSFyFtuPXmDgH2+VWv05wMuVjKs3Kyw7YpVifU/bpvVsbSdEWUmwI4SodLd6A1BrbM4b0mn1IzolLSAvNsJT4BXMkbaTueuOB3n7v6Fm1ZgtsXXfrW26MNp0f5wXm6fhdDVVv3lp465sjU/lH3GHuV9jHgwVrf6sUeDnt3oTdzbToavg2jdoT6BnIKm5qRbzdhQUAj0Dad+gfbmeI0RpJNgRQpi51cu/K2MD0OJKyhtSbuxztW/dr/Tz7I0TqunUlSWqDu7/SB94eAfi1rgrYTeScK8UqcbcV4llvPMWVGzfd8uSbw9d4MU+vY03MbwesDz9VbT6s06FuLOZDp8idNI4MTlsMq/GvIqCYhLwKDcmyt4Ke0uSk0WFk2BHCGGiMpZ/V4UNQK3lDZnsc1UILPsXePjbdM8/r3ryh0cXGujcCUOD4S3dUI357f9z45erofyqtipx5MUWxXOair8eS9NfRVXUFGHfxn2Z02uOxTo7b4W9JcvOxS0hwY4Qwqgyl39XdoVrS2/21va54lqmTfectusSv+jiAPOAMbJtML1bBxI+cyfbrpY88lKW17AjPsWuaytyirBv475ENIqQCsqi0kiwI4QAqsby78qscF38zd6wzxXYX9fGUq6NpYDR1VnDRw+1vRFgljzyUrRf1oIiw2vYejyZr34+Y3N/gyt4ihD0U1qyvFxUFgl2hBBA1Vn+XVkVrovnDZW2z5U1hpTk4rk21gJGayNaAV4uZFwtMLm3yZTaDRdU/R5ahzy6E9Y0wCRXxxYKFT9FKERlk2BHCAFUreXfDlO04N+NFUpYmTopnjdUWlVhI486Nzba1EtRrefaKOhofOUwp3b9TcvmLYz9sTSi1aFxHXp+HG0MgKxNqQWRwUKXufzWsRlOGoX9p9JLDFqLquPpwsyH76r6lamFKCcJdoQQQNVZ/u0wlgr++TaEyNkQOtjiJUVHWVKv+Nv2nEeX6AOonIvsTXFi9E5ni7k2JqMye9F/FOmPpRGtdx8I5YVVh0ucUtMo+lGjDn/MhvtH2hyMDmgbyL+f6CAjOqJWkGBHCAFUjeXfDmOt4F92sv748GUlBjz9QoM4eOourv1vEe55qSjWPiO+DaHpfcbRIifPdHQ7fzHLqzFUOS5OvdEf3bClOLUZYnJu6/Fk3t+kn44qbUpNAcg+D0n7qOd1p9l5S3k+o7s0lUBH1BoS7AghgKqx/NshSiz4dyNzZutkaP1AiVNaXe5oAIM/uRE0WfmMRM4yuUdY0wAe9/6NiQVfmQQnWlVfVab4/lUKKjoV0r57hThdByLvug2AzUcv8MKq34ztbJ1SO/LHCV6Lu25yzFKez0XqUi/vX8AQhKgN7FvXKISo0QzTOEF+plNVQX7u1WPXcdDn6JRY8E81joKUKnSwfhTIt9jr9m0Iw5ehbT2I/afSWR93nv2n0uGPDcws/JigYpWRnRTV6kadGgWCSGfJt98yb8efbDxygX98+xsadIRr4hms2Uc9JbP0vgIz92aSkn1zGsuQ51O8Pw3IwOm7MfoRMCFqARnZEUKYqMzl3w6RY32X7aJ0V1Js+20vdLB+FKhYovPW+FSmz95lTAbWoGO/+ys0wP6l6qAfvfnXjr+AG6MxrsvMRoc0WA6aLC11LynPR7FxhEuImkKCHSGEmcpa/u0Q3oE2NfvHxgsM1iRbHK2yuF1G0/uM5y0VXwzTnCCQ9DJ327DZp7VVV4a8IVU1nQ6ztq1E6Uvni4xwFXltFeFWbz8iRHES7AghapbGXfXTTNnJWMrbMYyCbLvSjC0WqkKXtl2GteKLNi9Vt9Kfg7rWpa660qmgosGJmxuMWttWwub+2DgSVlaVsf2IEMVJsCOEqFk0Tvrl3GtGo97YftKg6CiIFo1ZkT9btsvw83C1WMfGMDJjD7XYqEy4Jr7E0Rh9AKRjRsFILqn+JW4rYXN/bBwJK4vK3H5EiKIkQVkIUfPcSCy+7mn6Rp5CXSYUTDKOghStCl3adhmgD4wuZF6z+MiDutZcUAOMAZVNVFia3I+8v124K+0kgerl0q8BLqn+bNB15RddqNX9s0rvjwK+IfqRsApg6+dTa9cnTIiykZEdIUSV4rD8jtDBbM1vx7ff/bfUzTVTr+TZvF3GexuPWzyvQ8P0gtEsdJmLTi09STn7rDsXD/sRfu13wvkdgCwPT7Lbu+PbqOTCgLaM2pTcH8tL5x2pqmw/IgRIsCOEqEIcnd/RwNfLps01G/i421x5+Eqe1uq5bbowJhRMYobr8hKTlbPPunP+5zpmx32u5XL+5zqo3S7jZyHgsbTqqiSG/kS5LKNh0eXnvg31gY6VwoqOUCO3HxHVlgQ7QogqoSLyO+ypCn0w0f5NPy3ZpgujaadH6e3+F3f89BJ+5JiMqqg6uHjYr0gPbtIAKgqph33xbpiHU5FBF2urrmzpz/b8jmwcpKGN77VS9whzlBq3/Yio1iRnRwhR6Soqv8NQFRqKhxXmVaENgZEjFkSvO3KRiQf8mFzwNIBJ3kxumiuF15ws9OhmvwqvOXP+Uj2T48XzjWylAIF+nrTuMhDuetRke4uKVNrnU0E/alctth8R1Z4EO0KISmdPfoe9bK0KXVJgZK+U7HxSsvOM00gp3HxDL8yzLdCIujLm/9u78/go6vvx46+Z3HdCQhIuAQXFgIqAEQREEAUvQDzqLXhV0Z9WWwWUr0q1BeyhVi3aViug2FJRBA8UEFQOiYgoGA5FQCSEEAK5r92d3x+bWfaY3Z09kpDN+/l4+GjYnZ2d3aTZdz6f98F1DTO4v+E+rmuYwbD65wMOdBznaoUxH4EEmkI0N9nGEkK0uubO7/DaFRob7PnC0Rl5bN55jqnnzsFXZlIsR6obfDyDd/o2kj6IMyG6lkl85PdxpXFpbLX1MvUc6YkxHKtp9Li9S2oMzw6uIV9bB3taZvvKmfMUeef3M1f67IgWJsGOEKLVtUR+h0dX6MKl9oGhTnO06hNzueiyZ7ho6jiXwGhg9wxG/Gm119wff2yojkRptYONyxI/I7OmxnBp3QYcSUzk+6yT/Z43PSGG2Ved4QjkistrKatuoENyHHnH1nDqN0+jfO40Jyy1s70HUQiJyYFWy7X58SMiIkiwI4RodYEkEodF4dKmpoOayxZLTHUxyv9uYcuQvzFkzK0uD9EnwofKpsDro1V+t9Qe2DgHPDbsr/X10So2E7HASzcOYGgve26PRyD32b14dJCuOGif4n7t/KACnmCr5dr0+BERESRnRwjR6lo0v8NmheVTPQIdsPei0TTIWT+T5Vt/cblP35LplBZa9VBU4h6+6lvHXyaqlKW43leWAn+ZqPJV3zqiEvf4PE96gv1vVX3iuiN5u+n1GY3KcNy2fJr9uADo1XLuuVV6tdzybQcDOp8QLUlWdoQQJ4QWy+/Ytx4qirwmIasKdOYITy9dzEWn30vU/g0uOT36lsyKwmL+u2k/1fWBBQ1KdCUABaepfNVb4fT9GhlVcDQZtndT0JoCOv04b47VWrjxXxsd/3assCT96LI15ynwAaBmq+X0sRtCnGgk2BFCnDBaJL/D5ODLAbXrsfz170TVFDtuq0/MJfqyZxjSdzxDTsnkwtNzXAIOMzTL8eUcTVUo7G782pyPM0NfYVlyfhFnmXlAAANA/VXLgXRDFic22cYSQpxQ9PyO8f27MOSUzPCvFJgcfHlb1HJinQIdsOf0qP+7hW8+ngfA4JMzA97Wstb0xNaY5hgC6k7TwNaYhrWmZ0Dn1U/3yjc15h4QwABQs1VwKwqL/R8kRCuQYEcI0b50P4/6xFyvAzJtGli0pq0kt/vcc3qcc43MU6k/dAWAR8Cj/9t+f+C/njVgeeXJ1CfmGly9LvABoGar4N7bUiSDPcUJSYIdIUSrsdo0Nuw+4plk25zUKKIvewZFwSPgsWn2ECFa0bwO8lQV6KwcYenSxVhtGmP7deLB0b0DugRLZT/qDtyEZklzuV2zpFF34CYslf0COp8zGyrf9pve9C8v6d4BDgDN79mBDkkxfo87Ut0QtrEbQoST5OwIIVpFuIZ+BjMlParveL755W/krH/SZUBmMZl8aMnnjhj/Tf+iq0scOSr3jerNWwX7Ka4w3/TQUtkPS2UeUYl7UKIr0SwpTVtXof8Naj3tCujRwaOPULADQKNUhSv7d+HVdXv9HiuDPcWJSIIdIUSLC9fQz1ACprPH3Mryzhfy9NLFRFeXUEI6BbY+5Ks7uMNEh+MS0h0f7FGqwpPjjvfhMb8+pWKtOcX00f649CNSx0Gfy7DuXcfun3ZToqUT1WMo+ad0JJgeyqPzck0FOzLYU5yIZBtLCNGiwjX0Mxx9X8ae0ZUXpt/P9bc/xKARV2BDpcDWhyKtg8+cniItkwJbH5cPdm8zuEKhr0+lJ/rfQnLuRwQ2vir+illr/8vgdwu5eGUWN62K5fpXv2LYnE+D6okjgz1FWyYrO0KIFhXI0M/8nh0Mt6j8BUwK5vu+6NVf+iqNDZWZjbcwN+Y5bBouuTt6APT7xpvJSUv0+GDXS+e/3H2Eexdu5lit57yqQOSmxfPYJX04WFHPV3vLSIyN4qqzu1JZb+GpD4z7EUWnfM+YxTdzqKaptDwLktLSqD90BZbKfgGvnun0ZOx73tiMguvqlQz2FCc6CXaEEC3KbE7HysJiHlq0xXCLKi0h1nTAZLbvi/MqjT6t/ImY+S45PWWkMqNxEh/b8pnr5YM9SlUY2juL2Vedwd0BjpfITY3j+vyT6JGVRHZKPJ/uOMT9/93issq09Nsi7hzek7VTR3kEgqv3r+KhNQ+huYWBSnQ58V3ecCQ/BxIMOpPBnqKtkmBHCNGizOZ0GOWH6KsStw3tYeocgSTLus/n+tiWj9qo8XTMa2Qq9m7GWUoFM2Pf5NdDenG2nw/2sf06cfvQHqbyXEacmsXdI3odT662WXlz0Vsc+m47+Uo6BVofbE1ZBzYNXvncPkpi+qXHy96tNiuzC2Z7BDoASlPJfFzOMiyVeWioQTcBlMGeoi2SnB0hRIsyk/vh7XNT/xh/d8sBU88VSLKs+3yuMWoBL8U8TwauYxuyKePsDQ/Yh236MTov19RzbztQcTxgKFyK9mw/btxxL3+LfZH/xD7N2rj7GaMWuDzmH5/vobbh+KiKzSWbj29dGVAUUGPKXWZuBVs51eyNH4UIMwl2hAiVzQp7voCtb9v/N8ABi+2Nv6GfGp79b5xpQFl1Ix2SYsOeLKtv03ROjeGJmPmAZ+ClBDBMM79nB5Lj/Nc+Halu4NkVu9i5+k20RbdApetsq1zKmBvznEvAowH5f1zpSDY+XHPY7/OA68wtqZwS7YUEO0KEonApPNcP5l0Oi2+3/+9z/Uz91d+eeatcyk2LN71FNaF/Z8ME5VCTZcf268Tn18XTWSnzusLkMkzTgN4scemWA1is5grR/756FylrZqBpxtPYAZ6IWYCKzXF7ZZ3FUXnWMbGjqefRLClSOSXaHcnZESJYhUth0S14dFWpOGi//dr5ATdva0+85X4U7CnjNRN5LmkJsaQnxnCsxrXiKS0xhtkTzwgpWTaqusTcgQbDNI16/5iRr+6gs+K9+7A+jT1f3cGXNtcRFTOXFfLZwyPIScyhpKbEMG9H0+wdmvWZW+PO6iTbT6LdiNiVncOHD7Nhw4bWvgwRqWxWe3daX91iTGxztHdGuR9mcnrSE2N4buUuj0AHoNzgtoCZHZLpdpy33j9mZHMsqOP0yrOv95UzLX8aAIrbu2c0c+sfn+8Jqt+OEG1RxAQ7JSUlLFq0iClTptC3b1+ys7OZPn2638d9+OGHjBo1irS0NNLS0hg1ahQffeS/e6ovb7zxBoMHDyY5OZnMzEyuuOIKvvzyy5DOKU4w+9a7tuH34HubQ3hnJqcHfHcpNtOU0Kfu59lHK5gcpmm1aaz7oZSpi7cG0D3ZVQnpIR1XUlnH6O6j+esFfyU7MdvlPm8zt0J+n4RoIyIm2HnkkUf41a9+xSuvvEJpaampx8yePZvLLruMTZs2MWbMGMaMGcOmTZu49NJLmTNnTlDXMWXKFG6++WZ2797N+PHjGTZsGCtWrGDYsGEsXLgwqHOKE5DB9kVIxwkXvnJ6Hhzd23BFR+fcYydoahSM1X8HuK2S6CnKTcM0l287yLA5n3LjqxspD6GJYCCdm43oycaju4/m46s+5rf9nqX2wHXU7LuT6h+negQ6YXmfhGgjIiZnZ8KECUycOJHhw4fz3nvvMXnyZJ/Hr169mkcffZSuXbuybt06TjrpJAD279/P0KFDmT59Ovn5+YwcOdL0Nbz++uvMnTuXs846i9WrV5ORkQHAd999x7Bhw5g8eTKDBg3i1FNPDf6FihNDkNscwjxvOT3vf+drRe24kAdS5o2Da+dTu+xhEmqLHTcf1Drwt5jbucB2DniZ8RUMM52bZzbe7Oi3o3OZh9UkSo0iI+p0LBX1fp9XBneK9iBiVnYmTJjAuHHjHAGGP9OmTUPTNGbPnu0IdAC6devG7Nmz0TTN1DaYzmKx8NhjjwHw0ksvuVzHmWeeybRp02hoaODxxx83fU5xYtErbN7bcoANltPQAtjmEOFjtlw6HGXVy23n0O/on7muYQb3N9zHdQ0zGFb/PP+t6s/db2xm2jvBb1sZ0Ts3F+NaJVVMJvc0/oaPbfkut/uqPGvJ90mIE13ErOwEYteuXRQUFBAbG8vEiRM97r/yyiuJjY1l48aN7Nq1y9RKzKeffkpRURHdunVj6NChHvdfd911PPbYYyxZsoSKigpSU1PD8lpEyzCqsLku+SZm8aemZFCDSUFN2xwiON4mmv/fZae7dDp2Z7TSEQx9/pYV1aP6SedrOy1YH9vyWVE/iHx1B9kcc0xjd1/RAUiMjeKu80/mIoPmhe4dod2F630Soi2ImJWdQHzxxRcA5OXlkZCQ4HF/QkICeXn2X25r164N6JwDBw40vP/kk08mPT2d+vp6Nm3aFMxli1bircLmv1X9uafhAWoT3LaqUjtL2bkBl5Wx3Ud8Jsb6mmh+78JvGHeWvazcKIEZwjOQ0t/A0nBTsTFYLWScup58dQcFtj4stZ3Hl7Y8w0AHoLrByrMrf2DgUyt4fuUul/fUX6I3yOBO0X60y5WdnTt3AtC1a1evx3Tt2pUtW7Y4jg3XOY8dO8bOnTsZNWqU4TH19fXU1/vfZ6+oqDB1XSI0/qZrf2zLZ7R1KJ/fEm/vzZKcY9+6khUdF95WaYyGR5qZaL7024O8dMMAr5O/wzGQsiVzWcaoBfaho059doq0DsxsvMVj68rIsdpGnl35A/9ev9elx5AM7hTCrl0GO+Xl5QAkJyd7PSYpKcnl2JY656xZs5g5c6ap5xTNz99f9xpwoKKRAm0gQ844v+UurA1Z7iWJVx/qOfemAS4fumbe84PldWQkxRpO/g7XSkVL5bKMUQuYG/Ocx+36iAijXB1vjtU0erynMrhTiHYa7Og0zfsyuq/7mvOc06dP56GHHvJ7XEVFBd26dQvo2kTgzP51LxUtxsys0sxcVshFebmOD99A3nO9KWFz8JfzEg4qNq8zuFTFXoX1RMwCVtQP8rqV5U7D8z1tzvdJiLagXebspKenA1BdXe31mMrKSpdjW+qccXFxpKammvpPND+paAmN2VUa514vJ8p77pzzEgrnXJzBaqHLbCt9RIS3RRZVgc6KfUREIKR/jhCu2uXKTp8+9qZc+/fv93rMzz//7HJsOM6p32f2nKL1SUVLaIJZGQvmPbfatGbZphnbrxN3nd+Tf3y+J6jVHX+5OMGOiDBDVhuFOK5dBjvDhw8HYPv27dTW1npUZFVVVTkSjo3KyI2cf749X+Prr782vH/Hjh1UVVURHx/vtWJLnHj0v+7veWOztwJzqWjxIZhVmkDf80CSnwO1fNvBgAIdFZujZLy7UsyD0W97HOOcixPqiAhfZLVRiOPa5TZWr169GDJkCA0NDbz77rse9y9atAiLxcK5555L7969TZ3zggsuoGvXrvzyyy+sX+85D0kfFTF+/HhSUlJCewGiRfkaXeCeXCtcmRnq2clgZczse+6rRP2eNzaHNOjSV76ROxUb/y9qMV/H/Zr/xD7N32Jf5Lcxb6NgnIsD9lycTbZT/Y6IOKolo2Bz2f7yxdt7KkR7pmjBZuKewF5//XUmT57MiBEjWLNmjeExa9asYdSoUXTr1o3169fTpUsXAPbs2cN5553HoUOHWLVqlce4iAsvvJADBw6Qn5/P/PnzXe6bN28ekyZNYsCAAXz66aekpaUB9tWe888/H4vFwtatW8MyLqKiooK0tDTKy8slf6eFOG+VZCXHgQal1fVS3eKHHpCA8SqNr4DR1/aU1aYxbM6nXnOC9O2utVNHBfW92bD7CNf/0/8A3zFqAbNi/kUHpSrg57iuYQZpVDmqsZwvU9NAcfp3IKXoL0sQLtqBQD4HI2Yba968eWzYsAE43vNm165d3H333Y5jXn75ZcfXF1xwAbNmzWLatGn07duXSy65BIvFwkcffUR1dTVz5swxnIu1e/du9u3bR26uZ8fSW2+9lY0bNzJ37lxOO+00LrroIsrLy/n444+x2WzMnz9f5mK1YXpFy/JtB/nd/75tlm2TSBRKrxdfVUSBJD8HVIlks8K+9cRs385gtdxr92I4XjYebJibzTGW2s7jnsbf2HN78J5UbLYU/bahPeTnUAg3EbOyM2nSJObNm+fzGKOX+sEHH/DMM8+wefNmoqKiGDRoEA8//DBjxowxPEePHj3Yt2+fz1Wj+fPn88ILL1BYWEh8fDzDhg3jscceIz/fXK8MM2Rlp3V46xljZpWivQt3EvF7Ww7wwH+2+D3u+ev6M75/F3MnLVwKy6dCxfFho95WVFRsrI27n05KWdDBznUNMxyjKFRsnKsW8veYv5FOlcuqjs6m2edkDat/3msA9tadg6XMXLQLgXwORkyw095IsNPymnvbJOyaViioOhSRnZ3NbjOZ/vAvXAqLbgG3UFbPp3FfURmsFvKf2KcDuWSXc+pBC+BIas5SjvF4zBt+H+8cJOlOuJ8/IZpZu9zGEqK5Ndu2SZOwrnwYrFCQ2hnrmNkUxA+LiE66YS1Rt1nt75fBmYya+ykEVw4Ox4OnmY03c5G6yaM03Qz355bKQCF8k2BHCJOas5tyWMunvaxQaBUHUf93C683HF+hcH4OM8FWc/WzCUZYS9STfnQNDN2oCnTG3tzvS1seuWnx3HTuOfC5/+t0TzQuI5UZjZMADMdEmHEY179ig511dSJ9P4VoTrKN1UbJNlbLC/u2SZOw5gHZrPBcP68f3O45H/pz3HV+T5Z+e9BnsNWc/WxCYea6/L3HS84v4qyC3/l9rk2D/kTj6VfZgwJsTe/1QYxWhMAe6GhANQmkKLWO24u0DOJpJJ0qr92TfSnTkpneeIcjaH3xuv5cbjYvqcmJ+v0UwizJ2WkHJNhpeXrOjr9tk0ByJsKeB7TnC5h3ud/DjHI+jJ4b7MEWENbE7HCvKIRaon5Jyo/8vfFx/0906/vQc/jxfxcuRVt0CxqaYbpwpRZPMvafF+eXZ9M8++8EQg+i9DwiVYEXrx/ApWea+x5Ior2IBJKzI0QzaI5uymHPA6o6ZOp5zeSb6IM6n1z6PaAENMzTl+ZYUQi1RH155cnUd8glruYQRqs0Ggqkdkbpfp7jNqtN48Wi0ylseMAj7+aolsy/LWO4Pno1SdR5bSwYLEWxBzyzY/5FRWMiG215TFm4mZdV/0FKMMNZhWjr2mUHZSGCFe5uyuHOA7ImZZs7n8nxAxpQXFFPcUVgwzy9CaXjsdWmsWH3Ed7bcoANu49g9dZ22I2Z986Gyrf9pgNNgY3zfZq9bcVvK69neWGJ43UMnb2KZ1fu4mNbPsPq/8Z1DTO4v+E+rmuYwcD6lynQTqeTjyGfoVIVyFCqeCv2j6yNu58xagEzlxX6fV+CGc4qRFsnKztCBGhsv05clJcblm2YcE/4LrD2obvWgVyMP2T1nJ0CW/iH0foLKkJZUQhlNcjse2c97Qq+iVLIWf+kyypNMZnMbLyZj20DeOeNzfzaYDCoDdVjWzDYaq1gOBoOVsLr63oyaWhPrz+PzZloL8SJSoIdIYLga9skEOGeql5S3cjrjbcwN+Y5j7wQ55Jnbw3pQuEvqAh2y85bfom+GuRvRS2/ZwdyU+Morqg3vF8BclLjsFhtTPqyE5X1f3P0vSkh3aOD8j+/MDcY1OzqWSD5O5oNag7HYqmLIjreSmLHBhTVuTx+PsM+GMRLa37k6fH9uPTMzh7nCHeALURbINtYQrQiPQ8I8OjCG0weUFZyHB/b8rmn8TcU4xogFZPpd9SAOwXITY0jNzXwYZ7ugllR8LcaBPjdullRWEydxXiIpp57VWexcfNrBZTXNno9j4qNwWohlyvrGawWeh3MqWo2zjj8Iwk/1/LzoSysVuPz2TR7ArPZCpGK/fH8uCyHn1dnUbQhg59XZ/Hjshwq9tuDElWBzkoZ90Ytoay6kSkLv2HWh4Ue5wl2OKsQbZms7AgRolAri0KZHeVs+baDTcnE8LEtnxX1g3yuUAB0SIrhmoFd+cfnewDjpOsnx/UFCDkxO5gVhVATuL2tCukSYqOoabByrMYe5IxRCzySjYu0Diy1nMe46PUet7uPkTivaCt3f7eEjnXlAFQTy08JOWQPKCet2/HXocdmyZgLACv2x3NgXYbH7ZZa1X770KOkNp3/oei32aV15WNbPq98voezuma4VGk1R6K9ECc6KT1vo6T0/MTgL5dEs1qp2fQ1lsOHie7YkcRBA1GijEc2hBI0+ftQ9+bZX/XnyrO7mO5VE0oVldnS/c8eHsnX+45SUlnHD4eqeHH1j37PbTT/yl/JORzf/oHjQz3123U27XgQoBhsC+qrZecVbWVGwTzHa9HZ85E0ujgFJEVaB+JpIMPLDCxnmg1+XJaDpVbFc/3P/gzRiVZ6XV6Conr2UspMiqXgsdFhzYMS4kQgpedCtAB/uSSv96qi8xsvYykudtwXnZtLzqPTSb34Yo/zBZsH5Gurx5/cVPsqyth+nRjVJ4cFG/ayr6yG7h0SuXlID2Kjj68EXZSXS0p8DBt2HwE0hpycxeBTMk0HZGZWFMad1YkRf1rtM0Axkp0S7xEsWqw2j/Oomo2+pT/Rob6SsrgUvs86GRQVFRtPxMy3H2NQJu7eBVm/XR8jsapuAHd/t8Tltbi/th835zIv+zIOKRko2Hgr9o+mXlvN4Vgstb5mmilYaqKpORxLUk6DR7fnI9UNhitf4Uy0F+JEJ8GOEEHwl0sytGgrHZfMw+J2n+XQIQ488Bt4/jmXgCeUVR1/Wz1G3BOfjf7K/9faPY6/8o3uX7z5QMCrAL627Mad1cmjysns6zhaXe+xiuP+7rlvMQEcTkzin+cM5FjXZHKsZV6TGL2tvuiBxVVln7mc1+hKE2obOPvIDj7OOpex6ldmXh4AH1Sfyxns9nucpc41IHKuBisur8VIuBLthTjRSbAjRBB8BRiqZuPXTX/le2haIjj0x1mkXHghSlRU0NsJeoD0kY/eNEbc8zL8rVDdZVBqDfZcmbvf2MyDo0/lvlG9TAdnRisKA7tnMOJPqwMOdMC+GnTvwm88Huv8b+ctJmeZNdVM/+xz/jJRZcwpnZl25Cija4wDA1+61JWaOu7KxvVMil0V0Ln3xOWYCnai410zoZ2rwcqqGwJ6TiEijVRjCREEX5VFfUt/omNduddqFzQNS3ExNZu+DrrJ3vJtBxk251Ou/+eXzN+wL6Brd26A6G+FSsN/qfWzK3cxdPYqnw0B3ekrCuP7d2HIKZl8ve9owKtTuWnxvHTDAJZ+e9Dn9amazesWk4r9NU5aYeOwovJQdhYrExMCug6AA/FZpo5zD0jM+HXuh1gSbT5eo0Z0ooXEjvaAxqZBkebaS6lDclzAzytEJJGVHSF88La95KuyqEN9palzN5SUMHNbZcBN9oJJRu6QFMP/Xd6X3FTXLTIzW2BmGhUXV9Sb6nnjjdmy9PtGnkLvnBTH98LM9evBpzcqkFUJfX6B7SfBnMwMRtbU4itLRqcnAy/uMIKrE9aQXFuDryRiPSAJxFfJGv8dE81D79qw4foXqq3p2XLOrnAkJ4NnLyU9N0uI9kqCHdEuBJMT42t76aK8XK/NAMviUkxd04+WuIDLqoNNRvbWYC7cXXKDnalktix9aK+ODO6RTs2mr6na/iWV5faVG5vifZHabPB57g77u7q9WxSb4+M4p864CaEzBXtgYVGi+eDMIfxq4yqOh6o6+3n1gCQQVmBOVgaHchT+MlFl0gobWU4vpywFloxSeCbB/n0sJ5lpTtPQATokxUrPHNHuSbAjIl4wOTFmuvZ6qywqzDqZw/FpZHnbylIUonNyKOp+Gmzc6vf6nQOSYJKRATKSjLcxwtklN+ChpU78dZKOwsaYlJ/I+3QTP877GEvpUQC6Aa/Hp/HymRNY3/kMw3ObDT4v2axxyWaN0hSozo+Hjv6Dnb9arrZPHcfGzi4nkT60lqrNcS7VU9GJVirPrWXtySodrXEMqKv3WDWyApvj4zgcFUVHq9VxzOb4OA5F239NF5ym8FVvhdP3a2RUwdFk2N5NQVMVrjtoD86mNN7PBls/l3P375YmFVai3ZNgR0Q0b0HLQR+jBszOcFo7dZRhZVF2eiLafQ+i/GVm04OcztRU1pPz6HRK05JMvQbngCTYlRhvj/MXZMDx0muzq0m+rtHbCpuvsvSxagGPx8wn+acaDizQG+sd//DOrCtnRsE8ns6/1TDg+b4p+MysKzdMUnRfh+lQCcqqRCqG1jv64rizaVBGCj9r2fy/qHe4IfpTOill0A20LlB9OBZrXRTfpkfzVF4KxbHHGwLmWCwuidArExOYnZnhCGqcj2lwKwPTVIXC7p6BS4kaRZGWyUa3+VwA3+4vx2rTJOAR7ZoEOyJi+dvy0YDp72z12HYx27X3y91HSEuI5ZGxfSirqqdDUiy5aQmOD/CKkzI49MdZrn12cnIcfXbybRrpiTGO7r1GMhJjXLYggl2J8fY4M71v7hze09Fh2YySijr+/PEOwJ6EPPjkTEfVl68VNqOy9DFqAXNjn0Ozwe7NOW5XZqdiz1359db3+LJTX48tLZui8vKZE5hRMM8j58U90MHp/kPfpJLSpc5j60lvMpilVPJ87N/t53GOZ1VIym5gVVICD2Wne/z8lURF8VB2Fn8tsVdwPZSdZXjMb7MymfZ9Nddutyc1f38SFHZX0QyCliyr1evMM299doRoTyTYERHLzJbP0ZpGXvz0Bx4YfarjNrOrJ/cu3Mwxp1lK+ge3HjilXnwxKRdeaLqDshH3D0EzKzHOzAwSNTOu4uyTMnhyaSHFFb7fGwX4w4c7HP9+cfWPpCfGMKxXFu9/51mt5T7M06UsvaKasSseghqo9dNYTwWya4/Rt/Qntnbs5XH/+s5n8HT+rR59dryvdbg26nN/jR5Hu91oU2B2Zob9e+S+OqMoKJrG7Ez7ao/RMefs0vj1hzZS6hLo3/Sdvno9VMRb+celKgWn2YMaRdPIsmq8Wnk3n/iYeSYTzEV7J8GOiFhmf8H/e91e7hvV2xGkmF09OeY2NNJoCrcSFUXSucYfQgV7ynyu6gAcq2l0+avc10qMO19zjty3ky7Ky/XZTVcPQl789AeeXfmD1+c0up5jNY2GgY5+vHvVmaPR3Z5CqLGvirk3zPPmhl6JTPdSeLW+8xl82akvfUt/YnjpGq7YucP4QCeWuihHhdO/rRczIWoDGVT6nVLunGtjRFMUr/fn77Tx23eMh4ym1MFv37Hxl4nw1an2i8g8NJhPbOf6vB6ZYC7aOwl2RMQKJGhxDij01ZNAE4F9lYsb8bdKonMP2sb268RLN5zNjPe2UVZ9PFhSFNftFKNBolabxouf/sC/1+01XJXyVTYepSo8MPpUTstN8VgFCoW+Lfj6uj1kpcQdD7SqDjmOMdufZuGPNdDR+/02RXWs/JgJdnanqhQnJ9LRauXy2g1kKuYquw4HsHrnTLFpTFphD3QMV5Bo6gv0iY39PeHhsqP0rV/NMCYYbmGZWdkToj2QYEe0Wf7KyfN7diA9IcZjBcaIHlDo58zrlBLUh7kjn+enI6iK4vXalm87yO+XfW/qnF/sOgzgOM+KwmKe+mC7S6ADxwOd9IQYJg/tcXy1ymbFuncdn2z8lv9ub+DzhlM9PhiNVqW8cZ+RtWnvUb7cU+bzMWY89cF2x9ed0uJ5/txo9DWxxI4NRCdYvQ7DtAGlCen2WVcm+E9a1jiWonB3/w6OHBl70rDFVIfljtbAmwcCnL5fcyktN6IAWVWweHMpKTkNoNQ65mAZkQnmQkiwI9ooM+XkUarC5KE9eXblLr/ny0qK4/mVP/DvdXtMBUf+3PumcT6PPmfq7jc2mz7X25sP8PbmAwDERavUW4y3OHTHaht5duUPnJabwlj1K2qXPUxCbTGXAJeoUBTXgZmNt7j0YjG7KmX0vjeHg+V1XP9JFFtSs0luOIyiauQMKOfAugzc04r1xnqvnDHeZ78dABUb+eoOsjnGp2cN5NqNnxokLdvP/+po12Rg58RifwHPgLp6ciwWSqKi0AwGaymaRnZTQOR8TEaVz9O6sDlt7TnPwdJlJsXyhyv7yQRzIQBF0zQzeY7iBBPIaPtI462cXP9IcV6dsNo0Bj69wmtujAKkJcaA5pmDE076tb10w9k8umSb31ydcJiYsJm/aH9G01wnees5KPc0/sYl4NG9dedgw8qdYDo3O3MONEpIp8DWx3DrxdkYtYC5Mc/ZH69Axf54Dm1Oc0lWLklI55Uzxnvts+N8ridi5tNZOb4KtW9/Foc2p5FSezx4OZoCr45WKehjsC2kaeRYrSzfX+Szw7Km0VSNZR8j4RzwKE2/cp2rsfRj8vbZeHKh72BWd9LIUkfy9HUNM1xWdlLjo9k04yKXqfVCRJpAPgdlZUe0KWZ74Dgnu86eeIbhSoqe/+A/8LARlbgHJboSzZKCtaYngY6V06/34be/o7ohuC2OQKjY+J3tNTTwSKZVFXvA80TMAlbUD/IIOIwSu4Pt3KwzCjSKNM8VJncf2/K5p/E39sdSRmq3OlK61LH/cBZvV53P6tj+fJ91st8VHeegyVm3rqV07VzKH4tv4MfaLnRN38qygd8blneDPSApjo7222FZUWB0TS1/LSn17KFjtTLVqc+O8zHbuymUpkBmpa9KMY2oBPvoCX1chfMcLIDZE8+UQEcIJxLsiDbFbA8c54Tjsf068bJBaXVqQjRWG1TVW7yeLzplG3E5y1Bjjpf4RDcmUnVoAo2VZwZ8/S0R6ADkqztcAgt3qgKdOWKY62GU2B1s52bwHmjkUsbcmOe8rjDpPrbls6J+kGNVqDY+i1VpvbClmfswV7HxRMx8+9dGgZ8K93R+n6cab+JQqs1roOPMbALy6JpaRtbUGnZH9nZM0qAolNXJTfe6X4s93MwdUOG4y72/zq/P78mlZ8rWlRDOJNgRbYrZcnKjCia9dFqvRCqv9R7kgD3Qie/yhsfHjTW6mvgub3JW0W42VVzpuD0uWqHecmLsChvlcJg5zr2JoS7YPi1+Aw0fK0zObKiOoEytsXFh4o8k1JWa2g4zE/hlUcHzsX/nK+LYSI7XY3VGCcj2rsqpZCkVLrdHgeEqkLcREeRAxdBGDn6Vhq3BNahSY210Oqec1G51lGkpTG+83REodkiK8ToDTYj2ToId0aaYLSc3Om5FYTHPrfzB5FaMjbicZfZAx+1DWm8KdyxnHRdXdXb0OHEOdILJTwmnEtKDOu5oTSMrCos9klqD7dMSygqTEcd2mK0MYu23+dsOMxv4gbnE4hyrlf619S4/F3oe1GLLcO6K/sB+rI8FIl8jIkbX1Dq266pLYqkpiQUUErPrScpuAAUqtHi2X1fApNg4Lg1guK0Q7ZVs6oo2Jb9nB9ITY3wek26wOhFozklU4h771pWXzw69KdyVKQtRcU0oHaMWsDbufv4T+zR/i32R/8Q+zdq4+xmjFph89tComo3aQzHs3ZtF1aFYNIN8V5sGRZpnroee82S1ub5Teu+hQD9Kg11hMqJvh+XiGjzp22He3l+zgR/YV2GmHbEPGVXcajcUTUNDIe3QUA7j+vN10JbJH4quY8yBjVSXxPrs9rgy0Z64fMhtK0yv9lqZmGB/PhWScxvIPrOK7DMrSc5tQFHtQVSqUsfguB8Zckom4/t3YcgpmRLoCOGDrOyIiGP0Kz/QnBMl2lzzOC262mVVItT8lFCdV7TVMRKhllj2k0V0gpWcAeWOoZZ6HGM0S8kl56lnOuxbD1WHiErO4YnLT+OeN7/127nZWbArTO5C2Q4rsPWhSMugE0d9rrbovCUWZ1ut3FVqYVrFeIYxnnPVQoYohWQXldFjSxFX137u9T3XWYE5GRnk7bHRd7/9tu+7KxSeZJ9ermgaczIzGFlT67PaCyCqusT/ixFCABLsiDbGzIiFo24jFiDwnBPNkmLquI5WK2ObVhQ22U4NS35KsM4r2sqMgnket1tqVXt/mqFHSe1WRzGZzGy82WfQFbVzGbw3ByqKHLeNTMxlTt79zN53Kseq60xt09kDjQ7kUmY4YsFbNZG7ULbDbKi8ZRnFb2MW+3wOZ74Si99Rd5BGFU/EzCf5lxoObPCcxO7+nuu+PZTC00sgte54uHj1eo3KBHjlEvvMKzPVXgAk+88tEkLYSbAj2pRgE5QDzTmx1vQkujERa3S1z9yNAXX1nBP9CZP4hFIthSwf4wQCzU/xJ0aFuJhoquotqJqNu79bYr82z6tFA3Zs7sKz2b9io5bnM9gaoxZwTsHz2DdtnJ6vupirdz9KmeVyxsetp5OJMnIbKjMbb2FuzHPYvPT7mdl4MwCD1UKvwZP7Npdmg5rDsVjqooiOt5dhK6r37bB9WuDVSd4Si0crX3Nb9EdoNvjJyyR2vbGB8+T0iv3xxK9LxugnMbn2+MyrgtNUP9VeCqR2hu7nBfyahGivJNgRbUqwCcpmpoUnxUVx3smZrNheAqhUHZpAfJc37bkaBk3hHik96rLV0AFzW1+BJMz6Ehsd5Sib71v6k8s0b3cKkFJbS1VJPLaO3gMdFRtPxsxH0zTD1SlNg19Hv48F+Mpp1aN/rfdtOvdeOTp9hQlgbdz9PnvwOG9zGTUW1LeNSnKOH+cskLwdf66MXgtAXanvSezOk9MTOzZQ/HVa061GRzbNvFph46veio9xE02PHjsb1ODmbwnRHkmwI9oUf0GLt8GHZqaFV9dbmwIdu8bKMzmraDfHctZ5NIV7pPQoF9W6jgwwmx8arg9e5549HerNBVr+jstXd7is2LhTFO+VRI+UHuWJGuNtOvdeOfrqzUXqJlM5TgW2PhRrHUj4pYaidRkex+vbRtH5jWBQee1vOy0Q+jBQs5PYLXVR1ByOxVoX5TPBWwGyKmHoXisDFC9bWKmd7YFO3rjALlqIdk6qsYQpVpvGht1HeG/LATbsPuJRrdNS9KAFjDcOwPvgw7H9OjH3pgHkppnf0tpUcSUn776GZ4pqmVNSymsHD7F8f5FHoGOGtwqocCiLM5dj5Os4RfG/6uSrkuh3OVkUJtWQrxpPE9d75Sy1nefYxvOV42S/fwEqNmyoPNlwEyWb0/Srdb96NBTu3LoM1aD8TN9Og+PbZ6EyO4m9vjyK6kOxps97U3GVZ3Ly8Ifh1vfhN1sl0BEiCLKyI/wyM3SzJelBi/s15Zq4Jr254Jc/HfEY1unNJ7ZzWVl+DvnqDsaqBZwT/Ynfx2iaa58VXxVQoeiQFMvR6ga/U7zNTAXXNChR0r3ebwVmZ2bYV8Xc8pj03kNzMjPoc+yoqWsPNOn4QEmWz20jBciuPUbf0p/Y2rGXx/3ettOC5W8Suz7A5EhhYLPr+qvHf6Y1QEntAiOny7aVECGQYEf45G34Y3F5Hfe8sdll6GZL0oOWgj1llATYVC1KVVAVJaDBn84dfCfhP9hpjO9AbL1nfkq4y85vGdyd51f9gKaovHzmBGYUzPOY4h3IVHBf2z2b4+Nctq7c6XOj4hPqodr/tQfagyccW3XO22k5lPF4zAIyqDS1tWWvHMtAQSGHMlQVr5PYjTdK3Y/xvD+6aeYV6N83RfJzhAgDCXaEV4EO3WxpUapiOJ3bjGDHH5gppS5RMtk9YS0vLHiz2Tso9+yY5FjlWs8ZPJ1/q6PPjq7U5FRw8F09VWLyA3dHlGdOjZFAe/CEY6sOXAPX+sZo5sb8zWMlzoiqQLJWS4GtD7mqPZBN7VYHQ496JEzbedtoNWL/f1nOgAr0eLQ+IZeEK/4k21ZChIEEO8KrYIZuthVmq7oeHH0q//nqZ8f7YEPlz+pt/Nn2Z6+l1AeHPEFpvRZSefnVA7ry9uZf/B6XnRLPkFMyHatcKwt7MKlTX/qW/kSH+krK4lJMTQV35m27R7UmmXq8zWJu2ybQHjzh2Kpzd4xUU40GdalKHaOjtrje1jTaoeZwLNWH4jhSmILvwMZTVKyN3HPKaegaw6uWC+g78noGj7xCVnSECBMJdoRXwfa0aSlWmxbUNhbA0eoGR6M/I3pV132jenHfqF5uz3Mp3644ic4bZpLDEcdjSpRMDg55grPH3Erd7iPGJ/YjIzGGWRPP4KK8XNbtLjVddaavcg05JZNzenZg5rJEtjoFqumJMRyraTTd/diweqruVBI6/gk12ssYDQ1sljSsNT1NvVZ/PXgU4C3LyOO3hWmrzlkobQCcV4MUFZJyGkxXaLl7J38EW7JPpaC+Dy/eMJDBMsxTiLBq18HOpEmTmDfPs+Osu1tvvZXXX3/d73F79+6lZ0/vv+iTkpKoqqoK5BJbVShDN5tbKEnTy7cd5N6FnnlI7pyrutxXrs4ecyvWC2/k+40fU3v0AAkZXehz7hhym3JazPT1cZaeEMPkoT24b1Rvx3N6K5U3U3VmlM+0orDY4z3zxXm7R1d/6Ariu7wBbts++hip+kNXEEiRp9dVpKZz/zbmba6P/tTRc2d95zN4Ov9m7t72Dh1rjicGBbJV5yyUNgCKcvx16++F2Qotd9vrurMj/iz+PvGMVsmBEyLStetgZ+TIkcTHe/+g3rhxI1u2bCE1NbBqik6dOjFunOc+u6/nOhEF29OmuYWSNG1mIKiqwIvXn+33QycqOpq+Qy8zvs9HXx/93w+O7k2PrCSvq1KhVJ0Z5TO5B0FZyXHct3AzR/2M33BmqexH3YGb7BPhY47nBWmWNOoPXYGlsp/pc+n0VaR7o97lwWj7SAfnt8K5586qpES+Pf9D7htZx+n7VTKqoCw+mS0x42ioDizQgdD777hvgfmv0DI2ZeK5DJowWoZ5CtFMFE3TzPzh2e5UVlZy2mmnUVNTQ2FhIZ07+19W1ld2RowYwZo1a5r1+ioqKkhLS6O8vDzgYCwQemABxqsLLV2NZbVpDJvzqdfVCT0AWzt1lOEHx4bdR7j+n1/6fZ637hwcUB6Sty21cJTth7Jd58+H3xUxZeE3QTzSRlTiHpToSjRLStPWVfAJ2Co21sbd7zN/5+3EbH6fY/+DwWhVqe7ATT6DrYzEGK4d1JV/fL7H/rim252Ht4bjba3YH99UoQV+Ax5FITonh16rVqL4HBEhhHAXyOdgu17Z8eWJJ57g4MGDvPzyy6YCnUgVyupCczCbNP3l7iOoquIRIDRHHpKvgOaivFxS4mPYsPsIoDHk5CwGn5IZULDireos1CDIatPISIrjwj4dWbXjsOnH2alYa04J8DHe+eu5oynwj6xoe+jg9hL17aS43HewVObhLeg6WtPI2SdlMPemDJfvl7etNDMVWka8VWh5FJ43nTzn0ekS6AjRzCTYMbBt2zZeeOEFzj33XO66667WvpxWF0pPm3AzG4Tcu9C1YaAefIQ7D8nXltrdb2x2JAbrFm8+EJYgMdQVI6PHm01ebg7+EoX99fhRFFCia4jN+pSG0tHGx2BvlbB26iguysvl9XV7eOqD7YBnQnZ3pZgHo99G04Jb7dErtKYfnMzB2iw6Vx3mkr0bXVoCROfkkPPodFIvvjjwJxBCBESCHQNTpkzBZrPx0ksvoQTzp10ECqWnTTiZDULcGwYebMrneemGAWHLQ/LXhwhwCXQgPM0YQ2306O3xoQY6vqrb/PGXKOx7CvhxMRnraCgdhdHqjnurhKyUOJf73ROyd2ldQ+q2rKiwr2MnNtj60SktnhEzH+akuiIshw8T3bEjiYMGyoqOEC1Egh03CxYs4IsvvuD2229n4MCBQZ3js88+Izk5mS5dujB48GBuv/12zj//fFOPra+vp77eyxBAJxUVFUFdW1sXaJWTMw14bMlW/jChH/cu/CbgKid3/rbUvF1DKM0YQ230aCZBO1D6s7x4/dlkJMWxsrCYV9ftNTzO2/P6SxTOtJirclKja4lK3ONzi01fHfQXODuv9oxWvubK6LWOIaBm/fa8DBpPH+y0Eto1oMcLIcJDBoE6KS8v55FHHiEpKYmnnnoq4McnJSVxyy23cNtttzFy5EgqKyuZP38+I0aM4Pbbb8dq9f8Le9asWaSlpfn9r1u3bsG8xDbP1yBQM47WNPJDSZXhQNDctPiAVlyC7S/kvMIQqEAaPQbz+GDo79ulZ3ZmyCmZ/N8VfXn5JvsKmvtxf7/hbDqlxXt871wGdbrfp8GAunqirTGmrkeJ9h2Q6EGOHjj7+jnSV3uett7MOfVzua5hBvc33MfvG28ydS2D+p7OkABztIQQ4ScrO04ef/xxiouLefTRR+nUKfAtho4dO7r07dE0jXfeeYfbbruN1157jdzcXP7whz/4PMf06dN56KGH/D5XRUVFuw14vCVNpyfEmJp39e91e/n6/y4KOQ8p1P5CwQRLoSZYh6sB5P9ddjpZKXE+y+a9vb+qqhiW5H9iy2dK4294Nu0/JNQWO27X54pVH6kgLnul32vTLJ7jIlRs5Ks7ODWxmnwlBWxDiVKjvLYHMOK8zaVi447oD8lVyrz8xahAamfofp7f6xVCND8pPW+ybds2+vfvT2JiInv37qVDh/D1jpk3bx6TJk0iKSmJ0tLSsPTbaanS8xOZezWSTdO48V8bTT020NJyb88/bM6nQW2pBXsNoZbOm328L7mpcaybdmFIqxU+E6zzsvl+w3Je+WC921wxG0m9n0aJqjGsklJQSIvJ4pfvHgRUl9LyJ2Lmu1Z7pXaGsXMgb5xxsrZTw0Aj6QkxvDX8MH0+v7dpZchgQ/Ta+TLXSohmJKXnQXjwwQexWq3ceeedYQ10ACZMmABAdXU133//fdC5QMKVe9K01aaZXt0JdYVDD7Qu6ZfLa+v2BlTJFEozxlAbPZp5fHpiDEd9jJaos9hYUVgcUkWZvwq/d8p6sNR9PwuV+uKJxHd5w6MsXGkKMJ4Y+iiWM/s6ghdHDx334KjiICy6Ba6dz9h+4zyu5Wh1A/cu9N5favZVZ3B6v06QmwLLp0JF0fGDUjvbJ5VLoCPECUOCHWDVqlWsXLkSVVV54IEHwn5+i8Xi+LqurnXmSLUHUarC5KE9eXblLr/HhrIFZWYlIMNLwBBoErQ7f52Z/Z3bzONnTbR3Ip72zlaPajKA8prGkCvK9Gvx1j/o3S0HDB/jrYNzTmIOU/OnMrq7vez8orxcCnYfpv/iB1HqjPK7mtK5l0+DPpcRpUZ5XMtc1UR/qbxx0Ocy2Lceqg5Bco5960oGeApxQpFgB5gzZw4AF198MSeddFLYz7927VoAFEWhd+/eYT+/OO6+Ub349/o9hh/SEPqIC29l23rJ9e1DezA6L9frLKpwNGMMtdGjmcdbbRpPLi0EPN/HUCvK/CnYU0ZZtffVOUtlPyyVeWR0+IWnrjqJnKRsBmQPIMopwIhSFYZE74S6Qz6eSYOKA/ZApedwj3tN95dSowwfL4Q4cbT7YOfgwYOsWrUKgBtuuMHv8RdeeCEHDhwgPz+f+fPnu9xXUVFBUlISUU69M3788UdHwvGECRPIzs4O49ULd1GqwuyJZ3B304gLZ6Guqvgr21aAD7cV8+hl9vM3ZzPGUM/t7/EFe8oorjBX9RXu/kvmthhVrjz9fC4/pa/3Q6p8BTpOti+1/6/BisyJ0l9KCBGadh/sfPTRR9hsNhRF4dJLL/V7/O7du9m3bx+5ubke973zzjv89re/5dxzzyUnJ4cDBw7wxRdfUFdXR//+/XnllVea4yUIN2P7deLlZhhxEUjZt/4B2ZwflqGe29fjm2OshllmtxgvyvP8/6CL5BxzT1jwD/t/TknLQojI0u6DnY0b7dU7vXv3JjMztA+lbt260aVLF9auXUtNTQ3p6ekMHjyYa665hjvuuIPY2NhwXLIwoTlWVVozAGhp4R6rEYij1Q1+j+lkZiuy+3n2AKbiIKbSx52SliXgESKytPtg55VXXgloxWXv3r1e77vwwgv57rvvwnBVIhzCvarSmgFASwu16itYVpvGUx8U+j3u/y473X/gqkbZV2oW3YK5yV+uScuSZCxE5JAOykKY5K/jroLJFYc2wFen6lBzn3wx2+E5IynO7zGAfYXm2vmQanbr0ilpWQgRMSTYEcKk1goAWotetRXqWI1AmN0CXPdjKVazU0fzxsFvtsGt70P+XeYeYza5WQjRJrT7bSwhAhFq2Xdb05wVZUbMbgG+uPpHFm/+xfx77lweXvAP/8ebTW4WQrQJMi6ijZJxEa3LfVRFcwYA7UkgIzj0dzugVSabFZ7r5yNpuWmm1W+2Ss6OECe4QD4HZRtLiCDoyc/j+3eRqdZhFMhUez1Umbms0PyWlp60bPgMTf8eO1sCHSEijAQ7QogTirdcISPOvY1M85a0nNpZys6FiFCSsyNEc7JZZW5SEPRcoWdX7OTF1bv9Hh9wbyOZaSVEuyLBjhDNpXCpl4nY4evSG8m5Q1GqwtBeHU0FO0H1NpKZVkK0GxLsCNEcCpc2NbNzyyUJY5deo+nrnSKsKqy1mhsKISKL5OwIEW42q31Fx/Djuem25dPsxwVJn77u3oCvuLyOe97YzPJtB4M+94mkvfU2EkI0Dwl2hAi3fetdt648hNal19f09aAqlE5wrdHcUAgRWWQbS4hwM9t9N8guvcFMX2/rWrq5oRAiskiwI0S4me2+G2SX3vY0fd1ZuAe7CiHaD9nGEiLcup9nr7ryNTI0tYv9uCC0p+nrQggRDhLsCBFuzdyltz1NXxdCiHCQYEeI5tCMXXqlQkkIIQIjg0DbKBkE2kY0Ywfl9tBnRwghvAnkc1CCnTZKgh0Bkd1BWQghfAnkc1CqsYRow6RCSQgh/JOcHSGEEEJENAl2hBBCCBHRJNgRQgghRESTYEcIIYQQEU2CHSGEEEJENAl2hBBCCBHRJNgRQgghRESTYEcIIYQQEU2CHSGEEEJENAl2hBBCCBHRJNgRQgghRESTYEcIIYQQEU2CHSGEEEJENJl63kZpmgbYR9wLIYQQ7Y3++ad/HvoiwU4bVVlZCUC3bt1a+UqEEEKI1lNZWUlaWprPYxTNTEgkTjg2m42ioiJSUlJQFMXj/oqKCrp168b+/ftJTU1thSsUkUZ+pkQ4yc+TCJWmaVRWVtK5c2dU1XdWjqzstFGqqtK1a1e/x6WmpsovEhFW8jMlwkl+nkQo/K3o6CRBWQghhBARTYIdIYQQQkQ0CXaEEEIIEdEk2BFCCCFERJNgRwghhBARTYIdIYQQQkQ0CXaEEEIIEdEk2BFCCCFERJNgJ0LFxcXxxBNPEBcX19qXIiKE/EyJcJKfJ9GSZFyEEEIIISKarOwIIYQQIqJJsCOEEEKIiCbBjhBCCCEimgQ7QgghhIhoEuwIIYRoVocPH2bDhg2tfRmiHZNgJ8J8+OGHjBo1irS0NNLS0hg1ahQfffRRa1+WaKMURfH5X2lpaWtfojgBlZSUsGjRIqZMmULfvn3Jzs5m+vTpfh8nv79Ec4lu7QsQ4TN79mymT59OSkoKY8eOBWD58uVceumlzJ49m6lTp7byFYq2KDk5mRtvvNHwvoSEhBa+GtEWPPLII8ybNw9VVcnKyjL1GPn9JZqT9NmJEKtXr+bCCy+kS5curFu3jpNOOgmA/fv3M3ToUH755RdWrVrFyJEjW/lKRVuiKArdu3dn7969rX0pog1ZsmQJqqoyfPhw3nvvPSZPnsyIESNYs2aN4fHy+0s0N9nGihDTpk1D0zRmz57t+EUB0K1bN2bPno2maaaWkYUQIlQTJkxg3LhxZGRkmDpefn+J5ibBTgTYtWsXBQUFxMbGMnHiRI/7r7zySmJjY9m4cSO7du1qhSsUQghj8vtLtAQJdiLAF198AUBeXp5hDkVCQgJ5eXkArF27tkWvTQghfJHfX6IlSLATAXbu3AlA165dvR6j36cfK4RZ+/btIzExkZNPPplf/epXLFu2rLUvSUQQ+f0lWoJUY0WA8vJywF41401SUpLLsUKYcdNNNxEXF0dZWRnffPMNixYtYtGiRVxyySW8/fbbJCYmtvYlijZOfn+JliDBTgTxVVgnRXciGAsWLHD59+rVq7n55pv56KOPuPPOO3nzzTdb6cpEpJHfX6I5yTZWBEhPTwegurra6zGVlZUuxwoRjJEjRzoCnIULF/Lzzz+38hWJtk5+f4mWIMFOBOjTpw9g70nhjf6hpB8rRLBGjBjh+ND56quvWvdiRJsnv79ES5BgJwIMHz4cgO3bt1NbW+txf1VVlSOxb+jQoS16bSIyWa1WAOrq6lr5SkRbJ7+/REuQYCcC9OrViyFDhtDQ0MC7777rcf+iRYuwWCyce+659O7duxWuUESSb7/91rGtcNppp7Xy1Yi2Tn5/iZYgwU6E+OMf/4iiKEyfPp0DBw44bt+zZw+PPfYYiqIwa9asVrxC0dbU1NRQX1/vcltxcTF33XUXAAMGDGDgwIGtcWkiwsjvL9HcZDZWBJkzZw7Tpk0jLS2NSy65BIvFwkcffUR1dTVz5szhkUceae1LFG3ImjVruOKKKxg8eDBdunTh8OHDrF27loqKCrp3787KlSvp1atXa1+mOAHNmzePDRs2APbeOGvWrKFTp06MGzfOcczLL7/s8hj5/SWakwQ7EeaDDz7gmWeeYfPmzURFRTFo0CAefvhhxowZ09qXJtqYbdu2ceutt/LTTz9RWVlJcnIyeXl5jB8/nilTppCSktLalyhOUJMmTWLevHk+jzH66JHfX6K5SLAjhBBCiIgmOTtCCCGEiGgS7AghhBAiokmwI4QQQoiIJsGOEEIIISKaBDtCCCGEiGgS7AghhBAiokmwI4QQQoiIJsGOEEIIISKaBDtCCCGEiGgS7AghhBAiokmwI4QQQoiIJsGOEKLN6NOnD4qicP3117fo8x49erRFn685RdJrEcIsCXaEEG1CbW0tP/zwAwBnnXVWiz3vt99+y8CBA11ue/3111EUBUVRWLNmTYtdSzgMHz6cgoKC1r4MIVqUBDtCiDZh69at2Gw2APr3798iz/nNN98wcuRIGhoaWuT5WoKmaYwePZqNGze29qUI0WIk2BFCtAnffvut4+uWCHaKi4u59NJLqa2tZdmyZc3+fC3l7bffRtM0Lr/8cg4cONDalyNEi5BgRwjRJujBTk5ODrm5uc3+fLfccgvFxcXMmjWLs88+u9mfr6Wcfvrp/PnPf6a0tJSbb765tS9HiBYhwY4Qok3Qg52WWNVZvHgxK1asIC8vj//3//5fsz9fS7vzzjs566yzWL16NYsWLWrtyxGi2UmwI4Q4Ibz99ttcdtllZGdnk5iYyBlnnMFzzz2H1WpF0zS+++47oGWSkx9//HEAHn74YaKiopr9+Vqaqqr87ne/A+yvVdO0Vr4iIZqXBDtCiFZ17NgxLr74Yq655ho+/PBDDh8+TG1tLdu2bePBBx9kwoQJ7N69m4qKCqD5V3Y++eQTCgsLiYuL49prrw3qHKWlpZxyyikoikLv3r05cuSIy/1G1VwLFizgggsuoGPHjiQkJNCnTx+mTZvmt1TcYrGwYMECJkyYQLdu3UhISCApKYmuXbsycuRI/vrXvxo+7qqrriIhIYGdO3fyySefBPU6hWgrolv7AoQQ7VddXR2jR4/m66+/BuDqq6/mxhtvpFu3bvz888/MmjWL999/36UaqrmDnf/85z8ADBs2jMTExIAfX19fz/jx4/npp5/IyMjg/fffJzMz0+vxFouFiRMn8u6777rcvnPnTubMmcNbb73F6tWrOfnkkz0e+8MPPzBx4kS2bdvmcV9NTQ0HDhxA0zQeeughj/sTEhIYOnQoK1eu5L///S9jxowJ+LUK0VbIyo4QotXcd999fP3116iqyltvvcX//vc/JkyYwMCBA7nyyiv5/PPPOeWUUxwrDwkJCZx66qnNek0ffvghQFBJyZqmMWnSJNavX09MTAyLFy/mtNNO8/mYGTNmsGTJEu688042bdpETU0N+/bt4ze/+Q0AP//8M9deey1Wq9XlcYcOHWLkyJGOQGfAgAF8+OGHlJeXU1lZyY4dO1iwYAFXXXWV1+fWX6P+moWIWJoQQrSCtWvXaoAGaDNnzvR63Msvv+w4Lj8/v1mv6ZdffnE819y5c70e9+9//9tx3OrVqx23z5gxw3H7q6++aurxycnJ2ieffGJ43A033OA47p133nG575ZbbnHcd95552k1NTWBvVhN0+bOnes4R1FRUcCPF6KtkJUdIUSrePLJJwE46aSTmDp1qtfjzjjjDMfXzb2FtWPHDsfXgZa3z58/n6effhqAqVOnctttt5l63L/+9S8uuugiw/vuv/9+x9eLFy92fF1WVsbChQsBUBSF1157jYSEhICuF+xl/Drn1y5EpJFgRwjR4oqKili5ciVgL4OOi4vzemxqaqrja6NKrLy8PBRFoaSkJOTrKisrc3ydlJRk+nGfffYZd955J2BP/J01a5bpxzoHHO4GDBhAdLQ9tfKbb75x3P7FF19gsVgAGDJkiN+tMm+cX6Pzaxci0kiwI4RoccuXL3d8PX78eJ/HFhcXO752X9mpqalh165ddOnShezs7JCvq76+3vG1HmT4s2vXLq688koaGhoYNGgQCxYsQFGUkK8FICYmxpHcfPjwYcfte/fudXw9YMCAoM/v/Brr6uqCPo8QJzoJdoQQLU5vEJiQkEC/fv18HqvPcFIUhTPPPNPlvi1btmC1WkP6wHeWnJzs+No58PHlzTffdJSH22w2j0TiUOkBiT4XDKCqqsrxdVpaWtDndn6NKSkpQZ9HiBOdBDtCiBanr9ZkZWX5XQVZunQpAL169XIJRgA2b94MhLa64cw5T6e8vNzUY5544gmuvvpqx/VMnDiRxsbGsFwP4Ogv1KFDB8dtGRkZjq8rKyuDPrfza/S1nSZEWyfBjhCixdXW1gL+80S++uorCgoKAOPkZL0/T7iCnb59+zqCr6KiIlOPUVWVN954gwsuuACAFStWMHny5LB0JS4uLnYEM84rYH379nV8rQd8wTh48CBgXzXLy8sL+jxCnOgk2BFCtDg9v6a6upoffvjB8BiLxeJSjWSUnBzulZ2UlBRH9df27dtNPy4uLo4lS5Y4ttnefPNNHn744ZCvx7mz8YUXXuj4esiQIY5cnvXr17Nr166gzq9XYPXr10+2sUREk2BHCNHiBg8e7Pj697//vcf9jY2N3HHHHXz55ZeO29xXdurq6igsLKRjx4507do1bNd2+eWXA8dzhcxKS0tj+fLl9OjRA4C//OUvXkc1OPvHP/7hWOlyVldXxzPPPAPYg7Abb7zRcV9sbCwPPvggYM/lmTx5MjU1NQFdLxx/jVdccUXAjxWiTWntRj9CiPbn2LFjWnp6uqOh3U033aStWrVKKygo0F599VWtf//+GqAlJSU5jvnll19czrFx40YN0MaMGRPWa9u1a5emKIoGaPv27TM8xltTQU3TtJ07d2pZWVkaoCmKor355ps+Hw9oPXr00P75z39qBw8e1Gpra7Uvv/xSGzFihOP+v//97x7naGho0AYPHuw4pn///tqyZcu0Y8eOaZWVldrWrVu1F154QbvmmmsMX8P+/fs1RVE0RVG0nTt3Bv5GCdGGSLAjhGgVixcv1qKjo10+9J3/GzlypHbnnXdqgJaVleXxeL377/Tp08N+bePGjdMA7bHHHjO831ewo2n2QEwP1GJjY7UVK1Z4ffxjjz2mJScne30fpk6d6vU6jx49qo0cOdLrYwGte/fuho998sknNUC77LLLTL8vQrRVso0lhGgVEydO5LPPPuPSSy8lPT2d2NhYOnXqxGWXXcaCBQtYtWqVI6fEKDk53Pk6zmbPnk10dDQvvPCCS38bs/Lz83n77beJjo6moaGBiRMnek0kHj16NNu3b2fKlCn06NGD2NhYsrOzGTduHCtXrmT27Nlenyc9PZ1Vq1axcOFCxo4dS1ZWFjExMeTm5jJo0CCmTJliuJV29OhRnn/+eaKionyeX4hIoWhaGEoGhBCihQ0aNIivv/6a3bt3G04ED9Xjjz/OU089xTXXXMOiRYvCeu7XX3+dyZMnA7B69WpHJVdLmTRpEvPmzWPq1KkS7Ih2QVZ2hBBtTmNjI1u3biU9Pb1ZAh2w988ZPXo0//vf/3j++eeb5Tlaw2uvvca8efM4//zzHbO8hIh05vqhCyHECWTbtm00NDSQkpLCHXfcYXjM8OHDufXWW4N+jqioKJYsWcLYsWN56KGHeOCBB4I+14nk4Ycf5pxzzmHZsmWmR2II0dbJT7oQos3R81+OHDnCq6++anhMnz59Qn6epKQkVqxYwb333hvyuU4U1157LX/+858DGnQqRFsnOTtCCNHCWjtnR4j2RoIdIYQQQkQ0SVAWQgghRESTYEcIIYQQEU2CHSGEEEJENAl2hBBCCBHRJNgRQgghRESTYEcIIYQQEU2CHSGEEEJENAl2hBBCCBHRJNgRQgghRESTYEcIIYQQEe3/A96uXypdZW8mAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 600x600 with 1 Axes>"
       ]