diff --git "a/notebooks/compare_dnn_xgb_distributions.ipynb" "b/notebooks/compare_dnn_xgb_distributions.ipynb" --- "a/notebooks/compare_dnn_xgb_distributions.ipynb" +++ "b/notebooks/compare_dnn_xgb_distributions.ipynb" @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -29,16 +29,25 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/xgboost/compat.py:36: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n", + " from pandas import MultiIndex, Int64Index\n" + ] + } + ], "source": [ "import protac_degradation_predictor as pdp" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -49,7 +58,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -507,7 +516,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -906,7 +915,7 @@ "[857 rows x 45 columns]" ] }, - "execution_count": 13, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -987,7 +996,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -1090,7 +1099,7 @@ "max 0.988086 0.988136 0.986411 0.990691" ] }, - "execution_count": 14, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -1108,7 +1117,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -1143,7 +1152,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1176,7 +1185,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -1392,7 +1401,7 @@ "[134 rows x 9 columns]" ] }, - "execution_count": 17, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1404,7 +1413,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -1439,25 +1448,25 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 50, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "model_n0: 1.9687014385923973\n", - "model_n1: 3.256355001169309\n", - "model_n2: 2.197184990453783\n", - "mean: 3.5557657873944195\n", - "majority_vote: 0.02414519841649737\n", - "true_vs_dnn: 0.019028194294328227\n", - "true_vs_xgb: 0.0003299613651484949\n" + "DNN vs. XGB model N.0: 7.322032476908708\n", + "DNN vs. XGB model N.1: 5.150240075698975\n", + "DNN vs. XGB model N.2: 6.874510246266886\n", + "DNN vs. XGB mean: 7.969119274983867\n", + "DNN vs. XGB majority vote: 0.07029106924951611\n", + "True vs. DNN majority voto: 0.004405425756712149\n", + "True vs. XGB majority voto: 0.03965522705930391\n" ] }, { "data": { - "image/png": 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", + "image/png": 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" ] @@ -1485,15 +1494,15 @@ "bins = 50\n", "kl_divergences = {}\n", "for i in range(3):\n", - " kl_divergences[f'model_n{i}'] = kl_divergence(result_df[f'dnn_model_n{i}'], result_df[f'xgb_model_n{i}'], bins=bins)\n", + " kl_divergences[f'DNN vs. XGB model N.{i}'] = kl_divergence(result_df[f'dnn_model_n{i}'], result_df[f'xgb_model_n{i}'], bins=bins)\n", "\n", - "kl_divergences['mean'] = kl_divergence(result_df['dnn_mean'], result_df['xgb_mean'], bins=bins)\n", - "kl_divergences['majority_vote'] = kl_divergence(result_df['dnn_majority_vote'].astype(int), result_df['xgb_majority_vote'].astype(int), bins=bins)\n", + "kl_divergences['DNN vs. XGB mean'] = kl_divergence(result_df['dnn_mean'], result_df['xgb_mean'], bins=bins)\n", + "kl_divergences['DNN vs. XGB majority vote'] = kl_divergence(result_df['dnn_majority_vote'].astype(int), result_df['xgb_majority_vote'].astype(int), bins=bins)\n", "\n", "# Get df where the Active column is not NaN\n", "active_df = result_df[~result_df['Active'].isna()]\n", - "kl_divergences['true_vs_dnn'] = kl_divergence(active_df['Active'].astype(int), active_df['dnn_majority_vote'].astype(int), bins=bins)\n", - "kl_divergences['true_vs_xgb'] = kl_divergence(active_df['Active'].astype(int), active_df['xgb_majority_vote'].astype(int), bins=bins)\n", + "kl_divergences['True vs. DNN majority voto'] = kl_divergence(active_df['Active'].astype(int), active_df['dnn_majority_vote'].astype(int), bins=bins)\n", + "kl_divergences['True vs. XGB majority voto'] = kl_divergence(active_df['Active'].astype(int), active_df['xgb_majority_vote'].astype(int), bins=bins)\n", "\n", "for key, value in kl_divergences.items():\n", " print(f'{key}: {value}')\n", @@ -1502,6 +1511,11 @@ "plt.figure(figsize=(12, 6))\n", "plt.bar(kl_divergences.keys(), kl_divergences.values())\n", "plt.ylabel('KL Divergence')\n", + "# Put values on top of the bars\n", + "for key, value in kl_divergences.items():\n", + " plt.text(key, value, f'{value:.4f}', ha='center', va='bottom')\n", + "# Rotate x-axis labels\n", + "plt.xticks(rotation=90)\n", "plt.show()" ] }, @@ -1514,7 +1528,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1586,31 +1600,1635 @@ "plt.show()\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Standard Split - Test Set" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" + "outputs": [ + { + "data": { + "text/html": [ + "
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Compound IDUniprotSmilesE3 LigaseInChIInChI KeyMolecular WeightHeavy Atom CountRing CountRotatable Bond Count...POI SequenceE3 Ligase UniprotE3 Ligase SequenceCell Line IdentifierActive - ORActiveAvg TanimotoUniprot GroupE3 GroupTanimoto Group
02434Q92769Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHLInChI=1S/C48H62FN7O8S/c1-31-43(65-30-52-31)33-...AGMBKWPLZPKEGR-OUZJXKGJSA-N916.13065523...MAYSQGGGKKKVCYYYDGDIGNYYYGQGHPMKPHRIRMTHNLLLNY...P40337MPRRAENWDEAEVGAEEAGVEEYGPEEDGGEESGAEESGPEESGPE...HCT116-53BPI(+/-)FalseFalse0.37841257664
12004Q9NWZ3CC(C)Nc1cc(-n2ccc3cc(C#N)cnc32)ncc1C(=O)N[C@H]...CRBNInChI=1S/C41H42N10O8/c1-22(2)47-29-17-32(50-15...YMXWKCAXGFLWAH-MONLTZSXSA-N802.84959713...MNKPITPSTYVRCLNVGLIRKLSDFIDPQEGWKKLAVAIKKPSGDD...Q96SW2MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI...HEK293TFalseFalse0.41283063095
2549P03372CCN(CCCCCCCC(=O)N[C@H](C(=O)N1C[C@H](O)C[C@H]1...VHLInChI=1S/C55H65N5O8S2/c1-6-59(28-29-68-43-24-1...IDYPSHVHIRZTPO-VADRYRRNSA-N988.28670722...MTMTLHTKASGMALLHQIQGNELEPLNRPQLKIPLERPLGEVYLDS...P40337MPRRAENWDEAEVGAEEAGVEEYGPEEDGGEESGAEESGPEESGPE...MCF-7FalseFalse0.37455813661
31098P04035CC(C)c1c(C(=O)Nc2ccccc2)c(-c2cccc(OCCCc3cn(CCO...CRBNInChI=1S/C59H67FN8O13/c1-37(2)54-53(57(75)62-4...FLZOWPIEHOMVRX-OEUTXLNUSA-N1115.22681831...MLSRLFRMHGLFVASHPWEVIVGTVTLTICMMSMNMFTGNNKICGW...Q96SW2MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI...NaNFalseFalse0.35993714047
4937O75530Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHLInChI=1S/C43H48N10O6S/c1-26-36(60-25-48-26)29-...PPNNFXIBKLCMTI-WXEAQWFJSA-N832.98860715...MSEREVSTAPAGTDMPAAKKQKLSSDENSNPDLSGDENDDAVSIES...P40337MPRRAENWDEAEVGAEEAGVEEYGPEEDGGEESGAEESGPEESGPE...DBFalseTrue0.4069168690
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811103P04035CC(C)c1c(C(=O)Nc2ccccc2)c(-c2cccc(OCCCCCc3cn(C...CRBNInChI=1S/C63H75FN8O14/c1-41(2)58-57(61(79)66-4...METKOBDLEKDPEQ-MOHJDXDLSA-N1187.33386836...MLSRLFRMHGLFVASHPWEVIVGTVTLTICMMSMNMFTGNNKICGW...Q96SW2MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI...NaNFalseFalse0.32973414021
822424O15379Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHLInChI=1S/C46H59N7O7S/c1-30-41(61-29-49-30)32-1...QANLZMZKZIPVPD-DRTKLYQKSA-N854.08761520...MAKTVAYFYDPDVGNFHYGAGHPMKPHRLALTHSLVLHYGLYKKMI...P40337MPRRAENWDEAEVGAEEAGVEEYGPEEDGGEESGAEESGPEESGPE...HCT116-53BPI(+/-)FalseFalse0.3909913675
83335O60885Cc1sc2c(c1C)C(c1ccc(Cl)cc1)=N[C@@H](CC(=O)NCCn...CRBNInChI=1S/C41H41ClN10O8S/c1-22-23(2)61-41-34(22...QDKBKEFTDKCTPJ-UFXYQILXSA-N869.36161816...MSAESGPGTRLRNLPVMGDGLETSQMSTTQAQAQPQPANAASTNPP...Q96SW2MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI...NCI-H661FalseFalse0.3763277062
842520P10275CCN(c1ccc(C#N)c(Cl)c1)[C@H]1CC[C@H](NC(=O)c2cc...CRBNInChI=1S/C44H49ClN8O5/c1-2-52(35-10-5-29(27-46...VZVAWYNZTBXESG-BULKPCKOSA-N805.3805889...MEVQLGLGRVYPRPPSKTYRGAFQNLFQSVREVIQNPGPRHPEAAS...Q96SW2MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI...VCaPTrueTrue0.39080917075
852528P10275CN(c1ccc(C#N)c(Cl)c1)[C@H]1CC[C@H](NC(=O)c2ccc...CRBNInChI=1S/C41H43ClN8O5/c1-46(30-9-4-26(22-43)35...RNZSZCNUPQYOIX-RVWRWSNSSA-N763.2995588...MEVQLGLGRVYPRPPSKTYRGAFQNLFQSVREVIQNPGPRHPEAAS...Q96SW2MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI...VCaPTrueTrue0.439834170117
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86 rows × 39 columns

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" + ], + "text/plain": [ + " Compound ID Uniprot Smiles \\\n", + "0 2434 Q92769 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... \n", + "1 2004 Q9NWZ3 CC(C)Nc1cc(-n2ccc3cc(C#N)cnc32)ncc1C(=O)N[C@H]... \n", + "2 549 P03372 CCN(CCCCCCCC(=O)N[C@H](C(=O)N1C[C@H](O)C[C@H]1... \n", + "3 1098 P04035 CC(C)c1c(C(=O)Nc2ccccc2)c(-c2cccc(OCCCc3cn(CCO... \n", + "4 937 O75530 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... \n", + ".. ... ... ... \n", + "81 1103 P04035 CC(C)c1c(C(=O)Nc2ccccc2)c(-c2cccc(OCCCCCc3cn(C... \n", + "82 2424 O15379 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... \n", + "83 335 O60885 Cc1sc2c(c1C)C(c1ccc(Cl)cc1)=N[C@@H](CC(=O)NCCn... \n", + "84 2520 P10275 CCN(c1ccc(C#N)c(Cl)c1)[C@H]1CC[C@H](NC(=O)c2cc... \n", + "85 2528 P10275 CN(c1ccc(C#N)c(Cl)c1)[C@H]1CC[C@H](NC(=O)c2ccc... \n", + "\n", + " E3 Ligase InChI \\\n", + "0 VHL InChI=1S/C48H62FN7O8S/c1-31-43(65-30-52-31)33-... \n", + "1 CRBN InChI=1S/C41H42N10O8/c1-22(2)47-29-17-32(50-15... \n", + "2 VHL InChI=1S/C55H65N5O8S2/c1-6-59(28-29-68-43-24-1... \n", + "3 CRBN InChI=1S/C59H67FN8O13/c1-37(2)54-53(57(75)62-4... \n", + "4 VHL InChI=1S/C43H48N10O6S/c1-26-36(60-25-48-26)29-... \n", + ".. ... ... \n", + "81 CRBN InChI=1S/C63H75FN8O14/c1-41(2)58-57(61(79)66-4... \n", + "82 VHL InChI=1S/C46H59N7O7S/c1-30-41(61-29-49-30)32-1... \n", + "83 CRBN InChI=1S/C41H41ClN10O8S/c1-22-23(2)61-41-34(22... \n", + "84 CRBN InChI=1S/C44H49ClN8O5/c1-2-52(35-10-5-29(27-46... \n", + "85 CRBN InChI=1S/C41H43ClN8O5/c1-46(30-9-4-26(22-43)35... \n", + "\n", + " InChI Key Molecular Weight Heavy Atom Count \\\n", + "0 AGMBKWPLZPKEGR-OUZJXKGJSA-N 916.130 65 \n", + "1 YMXWKCAXGFLWAH-MONLTZSXSA-N 802.849 59 \n", + "2 IDYPSHVHIRZTPO-VADRYRRNSA-N 988.286 70 \n", + "3 FLZOWPIEHOMVRX-OEUTXLNUSA-N 1115.226 81 \n", + "4 PPNNFXIBKLCMTI-WXEAQWFJSA-N 832.988 60 \n", + ".. ... ... ... \n", + "81 METKOBDLEKDPEQ-MOHJDXDLSA-N 1187.333 86 \n", + "82 QANLZMZKZIPVPD-DRTKLYQKSA-N 854.087 61 \n", + "83 QDKBKEFTDKCTPJ-UFXYQILXSA-N 869.361 61 \n", + "84 VZVAWYNZTBXESG-BULKPCKOSA-N 805.380 58 \n", + "85 RNZSZCNUPQYOIX-RVWRWSNSSA-N 763.299 55 \n", + "\n", + " Ring Count Rotatable Bond Count ... \\\n", + "0 5 23 ... \n", + "1 7 13 ... \n", + "2 7 22 ... \n", + "3 8 31 ... \n", + "4 7 15 ... \n", + ".. ... ... ... \n", + "81 8 36 ... \n", + "82 5 20 ... \n", + "83 8 16 ... \n", + "84 8 9 ... \n", + "85 8 8 ... \n", + "\n", + " POI Sequence E3 Ligase Uniprot \\\n", + "0 MAYSQGGGKKKVCYYYDGDIGNYYYGQGHPMKPHRIRMTHNLLLNY... P40337 \n", + "1 MNKPITPSTYVRCLNVGLIRKLSDFIDPQEGWKKLAVAIKKPSGDD... Q96SW2 \n", + "2 MTMTLHTKASGMALLHQIQGNELEPLNRPQLKIPLERPLGEVYLDS... P40337 \n", + "3 MLSRLFRMHGLFVASHPWEVIVGTVTLTICMMSMNMFTGNNKICGW... Q96SW2 \n", + "4 MSEREVSTAPAGTDMPAAKKQKLSSDENSNPDLSGDENDDAVSIES... P40337 \n", + ".. ... ... \n", + "81 MLSRLFRMHGLFVASHPWEVIVGTVTLTICMMSMNMFTGNNKICGW... Q96SW2 \n", + "82 MAKTVAYFYDPDVGNFHYGAGHPMKPHRLALTHSLVLHYGLYKKMI... P40337 \n", + "83 MSAESGPGTRLRNLPVMGDGLETSQMSTTQAQAQPQPANAASTNPP... Q96SW2 \n", + "84 MEVQLGLGRVYPRPPSKTYRGAFQNLFQSVREVIQNPGPRHPEAAS... Q96SW2 \n", + "85 MEVQLGLGRVYPRPPSKTYRGAFQNLFQSVREVIQNPGPRHPEAAS... Q96SW2 \n", + "\n", + " E3 Ligase Sequence Cell Line Identifier \\\n", + "0 MPRRAENWDEAEVGAEEAGVEEYGPEEDGGEESGAEESGPEESGPE... HCT116-53BPI(+/-) \n", + "1 MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI... HEK293T \n", + "2 MPRRAENWDEAEVGAEEAGVEEYGPEEDGGEESGAEESGPEESGPE... MCF-7 \n", + "3 MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI... NaN \n", + "4 MPRRAENWDEAEVGAEEAGVEEYGPEEDGGEESGAEESGPEESGPE... DB \n", + ".. ... ... \n", + "81 MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI... NaN \n", + "82 MPRRAENWDEAEVGAEEAGVEEYGPEEDGGEESGAEESGPEESGPE... HCT116-53BPI(+/-) \n", + "83 MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI... NCI-H661 \n", + "84 MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI... VCaP \n", + "85 MAGEGDQQDAAHNMGNHLPLLPAESEEEDEMEVEDQDSKEAKKPNI... VCaP \n", + "\n", + " Active - OR Active Avg Tanimoto Uniprot Group E3 Group Tanimoto Group \n", + "0 False False 0.378412 57 6 64 \n", + "1 False False 0.412830 63 0 95 \n", + "2 False False 0.374558 13 6 61 \n", + "3 False False 0.359937 14 0 47 \n", + "4 False True 0.406916 8 6 90 \n", + ".. ... ... ... ... ... ... \n", + "81 False False 0.329734 14 0 21 \n", + "82 False False 0.390991 3 6 75 \n", + "83 False False 0.376327 7 0 62 \n", + "84 True True 0.390809 17 0 75 \n", + "85 True True 0.439834 17 0 117 \n", + "\n", + "[86 rows x 39 columns]" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "protac_df = pd.read_csv('data/studies/standard_test_10split_Active_Dmax_0.6_pDC50_6.0.csv')\n", + "# Drop column \"Active\"\n", + "protac_df.drop(columns='Active', inplace=True)\n", + "# Rename \"Active (Dmax 0.6, pDC50 6.0)\" column to \"Active\"\n", + "protac_df.rename(columns={'Active (Dmax 0.6, pDC50 6.0)': 'Active'}, inplace=True)\n", + "protac_df" + ] }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.8" + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Compound IDUniprotSmilesE3 LigaseInChIInChI KeyMolecular WeightHeavy Atom CountRing CountRotatable Bond Count...dnn_meandnn_majority_votednn_model_n0dnn_model_n1dnn_model_n2xgb_meanxgb_majority_votexgb_model_n0xgb_model_n1xgb_model_n2
02434Q92769Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHLInChI=1S/C48H62FN7O8S/c1-31-43(65-30-52-31)33-...AGMBKWPLZPKEGR-OUZJXKGJSA-N916.13065523...0.079379False0.1702090.0634160.0045140.026209False0.0241880.0294090.025029
12004Q9NWZ3CC(C)Nc1cc(-n2ccc3cc(C#N)cnc32)ncc1C(=O)N[C@H]...CRBNInChI=1S/C41H42N10O8/c1-22(2)47-29-17-32(50-15...YMXWKCAXGFLWAH-MONLTZSXSA-N802.84959713...0.435443False0.2692580.6630590.3740120.721998True0.7664660.6087520.790776
2549P03372CCN(CCCCCCCC(=O)N[C@H](C(=O)N1C[C@H](O)C[C@H]1...VHLInChI=1S/C55H65N5O8S2/c1-6-59(28-29-68-43-24-1...IDYPSHVHIRZTPO-VADRYRRNSA-N988.28670722...0.257002False0.4351500.2779980.0578570.199748False0.3066450.2271170.065481
31098P04035CC(C)c1c(C(=O)Nc2ccccc2)c(-c2cccc(OCCCc3cn(CCO...CRBNInChI=1S/C59H67FN8O13/c1-37(2)54-53(57(75)62-4...FLZOWPIEHOMVRX-OEUTXLNUSA-N1115.22681831...0.048816False0.0462540.0981250.0020680.010581False0.0105650.0125360.008641
4937O75530Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHLInChI=1S/C43H48N10O6S/c1-26-36(60-25-48-26)29-...PPNNFXIBKLCMTI-WXEAQWFJSA-N832.98860715...0.538979True0.6440680.7327640.2401030.902249True0.8733450.9163300.917072
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811103P04035CC(C)c1c(C(=O)Nc2ccccc2)c(-c2cccc(OCCCCCc3cn(C...CRBNInChI=1S/C63H75FN8O14/c1-41(2)58-57(61(79)66-4...METKOBDLEKDPEQ-MOHJDXDLSA-N1187.33386836...0.042708False0.0527320.0733250.0020680.010631False0.0107940.0124400.008659
822424O15379Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHLInChI=1S/C46H59N7O7S/c1-30-41(61-29-49-30)32-1...QANLZMZKZIPVPD-DRTKLYQKSA-N854.08761520...0.146975False0.2517510.1821860.0069880.616503True0.5321810.6839570.633372
83335O60885Cc1sc2c(c1C)C(c1ccc(Cl)cc1)=N[C@@H](CC(=O)NCCn...CRBNInChI=1S/C41H41ClN10O8S/c1-22-23(2)61-41-34(22...QDKBKEFTDKCTPJ-UFXYQILXSA-N869.36161816...0.190578False0.1891610.3510430.0315290.029169False0.0337730.0330580.020677
842520P10275CCN(c1ccc(C#N)c(Cl)c1)[C@H]1CC[C@H](NC(=O)c2cc...CRBNInChI=1S/C44H49ClN8O5/c1-2-52(35-10-5-29(27-46...VZVAWYNZTBXESG-BULKPCKOSA-N805.3805889...0.558503True0.7882420.6553300.2319370.910048True0.9015760.9154840.913085
852528P10275CN(c1ccc(C#N)c(Cl)c1)[C@H]1CC[C@H](NC(=O)c2ccc...CRBNInChI=1S/C41H43ClN8O5/c1-46(30-9-4-26(22-43)35...RNZSZCNUPQYOIX-RVWRWSNSSA-N763.2995588...0.519538True0.8980710.4828980.1776450.960892True0.9562340.9544870.971954
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86 rows × 49 columns

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" + ], + "text/plain": [ + " Compound ID Uniprot Smiles \\\n", + "0 2434 Q92769 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... \n", + "1 2004 Q9NWZ3 CC(C)Nc1cc(-n2ccc3cc(C#N)cnc32)ncc1C(=O)N[C@H]... \n", + "2 549 P03372 CCN(CCCCCCCC(=O)N[C@H](C(=O)N1C[C@H](O)C[C@H]1... \n", + "3 1098 P04035 CC(C)c1c(C(=O)Nc2ccccc2)c(-c2cccc(OCCCc3cn(CCO... \n", + "4 937 O75530 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... \n", + ".. ... ... ... \n", + "81 1103 P04035 CC(C)c1c(C(=O)Nc2ccccc2)c(-c2cccc(OCCCCCc3cn(C... \n", + "82 2424 O15379 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... \n", + "83 335 O60885 Cc1sc2c(c1C)C(c1ccc(Cl)cc1)=N[C@@H](CC(=O)NCCn... \n", + "84 2520 P10275 CCN(c1ccc(C#N)c(Cl)c1)[C@H]1CC[C@H](NC(=O)c2cc... \n", + "85 2528 P10275 CN(c1ccc(C#N)c(Cl)c1)[C@H]1CC[C@H](NC(=O)c2ccc... \n", + "\n", + " E3 Ligase InChI \\\n", + "0 VHL InChI=1S/C48H62FN7O8S/c1-31-43(65-30-52-31)33-... \n", + "1 CRBN InChI=1S/C41H42N10O8/c1-22(2)47-29-17-32(50-15... \n", + "2 VHL InChI=1S/C55H65N5O8S2/c1-6-59(28-29-68-43-24-1... \n", + "3 CRBN InChI=1S/C59H67FN8O13/c1-37(2)54-53(57(75)62-4... \n", + "4 VHL InChI=1S/C43H48N10O6S/c1-26-36(60-25-48-26)29-... \n", + ".. ... ... \n", + "81 CRBN InChI=1S/C63H75FN8O14/c1-41(2)58-57(61(79)66-4... \n", + "82 VHL InChI=1S/C46H59N7O7S/c1-30-41(61-29-49-30)32-1... \n", + "83 CRBN InChI=1S/C41H41ClN10O8S/c1-22-23(2)61-41-34(22... \n", + "84 CRBN InChI=1S/C44H49ClN8O5/c1-2-52(35-10-5-29(27-46... \n", + "85 CRBN InChI=1S/C41H43ClN8O5/c1-46(30-9-4-26(22-43)35... \n", + "\n", + " InChI Key Molecular Weight Heavy Atom Count \\\n", + "0 AGMBKWPLZPKEGR-OUZJXKGJSA-N 916.130 65 \n", + "1 YMXWKCAXGFLWAH-MONLTZSXSA-N 802.849 59 \n", + "2 IDYPSHVHIRZTPO-VADRYRRNSA-N 988.286 70 \n", + "3 FLZOWPIEHOMVRX-OEUTXLNUSA-N 1115.226 81 \n", + "4 PPNNFXIBKLCMTI-WXEAQWFJSA-N 832.988 60 \n", + ".. ... ... ... \n", + "81 METKOBDLEKDPEQ-MOHJDXDLSA-N 1187.333 86 \n", + "82 QANLZMZKZIPVPD-DRTKLYQKSA-N 854.087 61 \n", + "83 QDKBKEFTDKCTPJ-UFXYQILXSA-N 869.361 61 \n", + "84 VZVAWYNZTBXESG-BULKPCKOSA-N 805.380 58 \n", + "85 RNZSZCNUPQYOIX-RVWRWSNSSA-N 763.299 55 \n", + "\n", + " Ring Count Rotatable Bond Count ... dnn_mean dnn_majority_vote \\\n", + "0 5 23 ... 0.079379 False \n", + "1 7 13 ... 0.435443 False \n", + "2 7 22 ... 0.257002 False \n", + "3 8 31 ... 0.048816 False \n", + "4 7 15 ... 0.538979 True \n", + ".. ... ... ... ... ... \n", + "81 8 36 ... 0.042708 False \n", + "82 5 20 ... 0.146975 False \n", + "83 8 16 ... 0.190578 False \n", + "84 8 9 ... 0.558503 True \n", + "85 8 8 ... 0.519538 True \n", + "\n", + " dnn_model_n0 dnn_model_n1 dnn_model_n2 xgb_mean xgb_majority_vote \\\n", + "0 0.170209 0.063416 0.004514 0.026209 False \n", + "1 0.269258 0.663059 0.374012 0.721998 True \n", + "2 0.435150 0.277998 0.057857 0.199748 False \n", + "3 0.046254 0.098125 0.002068 0.010581 False \n", + "4 0.644068 0.732764 0.240103 0.902249 True \n", + ".. ... ... ... ... ... \n", + "81 0.052732 0.073325 0.002068 0.010631 False \n", + "82 0.251751 0.182186 0.006988 0.616503 True \n", + "83 0.189161 0.351043 0.031529 0.029169 False \n", + "84 0.788242 0.655330 0.231937 0.910048 True \n", + "85 0.898071 0.482898 0.177645 0.960892 True \n", + "\n", + " xgb_model_n0 xgb_model_n1 xgb_model_n2 \n", + "0 0.024188 0.029409 0.025029 \n", + "1 0.766466 0.608752 0.790776 \n", + "2 0.306645 0.227117 0.065481 \n", + "3 0.010565 0.012536 0.008641 \n", + "4 0.873345 0.916330 0.917072 \n", + ".. ... ... ... \n", + "81 0.010794 0.012440 0.008659 \n", + "82 0.532181 0.683957 0.633372 \n", + "83 0.033773 0.033058 0.020677 \n", + "84 0.901576 0.915484 0.913085 \n", + "85 0.956234 0.954487 0.971954 \n", + "\n", + "[86 rows x 49 columns]" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import torch\n", + "\n", + "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n", + "\n", + "dnn_preds = []\n", + "xgb_preds = []\n", + "batch_size = 256\n", + "\n", + "for i in range(0, len(protac_df), batch_size):\n", + " # Accumulate the rows into a batch\n", + " batch = protac_df.iloc[i:i+batch_size]\n", + " if len(batch) == 0:\n", + " continue\n", + " \n", + " # Get predictions for DNN model\n", + " pred_dnn = pdp.get_protac_active_proba(\n", + " protac_smiles=batch['Smiles'].tolist(),\n", + " e3_ligase=batch['E3 Ligase'].tolist(),\n", + " target_uniprot=batch['Uniprot'].tolist(),\n", + " cell_line=batch['Cell Line Identifier'].tolist(),\n", + " device=device,\n", + " )\n", + " \n", + " for j in range(len(batch)):\n", + " dnn_pred = {\n", + " 'mean': pred_dnn['mean'][j],\n", + " 'majority_vote': pred_dnn['majority_vote'][j],\n", + " }\n", + " for k in range(pred_dnn['preds'].shape[0]): # Assuming num_models is 3\n", + " dnn_pred[f'model_n{k}'] = pred_dnn['preds'][k][j]\n", + " dnn_preds.append(dnn_pred)\n", + " \n", + " # Get predictions for XGBoost model\n", + " pred_xgb = pdp.get_protac_active_proba(\n", + " protac_smiles=batch['Smiles'].tolist(),\n", + " e3_ligase=batch['E3 Ligase'].tolist(),\n", + " target_uniprot=batch['Uniprot'].tolist(),\n", + " cell_line=batch['Cell Line Identifier'].tolist(),\n", + " device=device,\n", + " use_xgboost_models=True,\n", + " )\n", + " \n", + " for j in range(len(batch)):\n", + " xgb_pred = {\n", + " 'mean': pred_xgb['mean'][j],\n", + " 'majority_vote': pred_xgb['majority_vote'][j],\n", + " }\n", + " for k in range(pred_xgb['preds'].shape[0]): # Assuming num_models is 3\n", + " xgb_pred[f'model_n{k}'] = pred_xgb['preds'][k][j]\n", + " xgb_preds.append(xgb_pred)\n", + "\n", + "# Convert accumulated predictions into DataFrames\n", + "dnn_df = pd.DataFrame(dnn_preds)\n", + "xgb_df = pd.DataFrame(xgb_preds)\n", + "\n", + "# Concatenate the original DataFrame with predictions\n", + "result_df = pd.concat([\n", + " protac_df.reset_index(drop=True),\n", + " dnn_df.add_prefix('dnn_'),\n", + " xgb_df.add_prefix('xgb_'),\n", + " ], axis=1)\n", + "\n", + "result_df" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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xgb_meanxgb_model_n0xgb_model_n1xgb_model_n2
count86.00000086.00000086.00000086.000000
mean0.5566210.5606460.5512900.557927
std0.3765740.3770490.3784380.384407
min0.0105810.0105650.0124400.008641
25%0.1397690.1494950.1372820.128790
50%0.6553100.6694790.6570440.661293
75%0.9346630.9387010.9349320.932825
max0.9837160.9848210.9847610.984929
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" + ], + "text/plain": [ + " xgb_mean xgb_model_n0 xgb_model_n1 xgb_model_n2\n", + "count 86.000000 86.000000 86.000000 86.000000\n", + "mean 0.556621 0.560646 0.551290 0.557927\n", + "std 0.376574 0.377049 0.378438 0.384407\n", + "min 0.010581 0.010565 0.012440 0.008641\n", + "25% 0.139769 0.149495 0.137282 0.128790\n", + "50% 0.655310 0.669479 0.657044 0.661293\n", + "75% 0.934663 0.938701 0.934932 0.932825\n", + "max 0.983716 0.984821 0.984761 0.984929" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result_df.filter(like='xgb_').describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot the distribution of the mean of the preditions of the \"best\" models:" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "# Plot histogram of dnn_mean and xgb_mean\n", + "sns.histplot(result_df['dnn_mean'], label='DNN (mean)', kde=True, color='C0', alpha=0.3)\n", + "sns.histplot(result_df['xgb_mean'], label='XGB (mean)', kde=True, color='C1', alpha=0.3)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot the distribution of the \"best\" models used in majority voting:" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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EyMiI0NBQNm/ezI8//mjYPmHCBBwcHJg5c6Zh29SpUxk6dCitWrVi/fr1nD9/npUrV+Ll5cX06QUfPtjY2BAfH098fDzHjx8nJCSEIUOGcP78+XvmWbBgASNHjkStrhmlZmpqKj169KBhw4YcPXqUTz/9lHfffZclS5YY2jg6OhISEsLixYsrLVfN+O4KIUQVoNPpmH1wNln5WbR2ac0g70FKRzJwrePKjKAZAHx36jvCr4crG0gIIYSoRrSZmcW/cnJK3jY7u0RtS8vHx4ePPvqICRMmEB8fz7p161i1ahUrVqzA1NQUgIMHD/LJJ58wb9485s2bR+fOnfHw8KB169a88847bNq0qcA5VSoVrq6uuLq64u3tzezZs1Gr1Zw8ebLYHElJSezcuZO+ffsWOtc333xDnz59sLS0xM/PjwMHDnDx4kW6du1KnTp16NixI5cuXSpw3OLFi2ncuDGmpqb4+vryf//3fwX2R0ZG0qVLF8zNzWnWrBnbtm0rlCkuLo4hQ4ZgZ2eHg4MD/fr1Izo6usTf2x9//JHc3FyWLVtG8+bNeeqpp5g4cSLz5s0r0K5v376sWrWqxOd9UMaVdiUhhKjhDlw7wL6r+zBRmzAzaGalLDVXGj09e7I3bi9/XP6D9w6+xy99fsFYLf8MCCGEEPdzPrB1sfvqPNIFj2++Mby/0OlhdFlZRba1bNuWhv+3wvD+4mPBaJKTC7XzOxdR6owTJkxgzZo1PP/885w6dYoZM2bg7+9v2P/TTz9hZWXFSy+9VOTxKpWq2HNrNBpWrNDnDgwMLLbdvn37DIX6f73//vuGDxGmTp3KM888Y+gJ4OHhwahRo3jllVcMHyisWbOGSZMm8cUXXxAcHMyGDRsYOXIkDRo0oFu3bmi1WgYOHIiLiwuHDh0iJSWFV199tcA18/LyCAkJISgoiLCwMIyNjZk9ezY9e/bk5MmThg857uXAgQN06dKlQNuQkBA+/vhjkpOTsbe3B6Bdu3ZcuXKF6OhoPD0973veB1W1/soUQohqSqvTMv/4fACeavoUjWwbKZyoaG+0fQNbM1sikyNZGaHMJDRCCCGEKH8qlYrFixezY8cOXFxcmDZtWoH9Fy5cwMvLC2Pjfz/EnzdvHlZWVoZXSkqKYV9KSophu6mpKS+++CJLliyhcePGxWaIiYnBxcWlyG71I0eOZMiQIfj4+DB16lSio6N59tlnCQkJwc/Pj0mTJrF7925D+7lz5zJixAheeuklfHx8mDx5MgMHDmTu3LkAbN++nXPnzrFixQr8/f3p0qULH374YYFr/vzzz2i1Wr777jtatGiBn58fy5cvJzY2tsC17iUhIQEXF5cC2+68T0hIMGyrV6+e4XtQGeRRjBBClINtMds4e/MslsaWjGkxRuk4xbI3t2dy68nM/GsmC8MX0sOzB651XJWOJYQQQlRpvseOFr/TyKjAW5/9+4pv+58Ct8mO7Q8Sq5Bly5ZhaWlJVFQUV65cue+T4VGjRvHEE09w6NAhnnvuOXQ6nWGftbU1x44dAyAzM5Pt27czfvx46tatW6jr/B1ZWVmYm5sXua9ly5aGr+8Uwi1atCiwLTs7m9TUVGxsbIiIiGDcuHEFztGpUyfmz9c/OImIiMDd3d1QQAMEBQUVaH/ixAkuXryItbV1ge3Z2dmFuvE/KAsLC0D/vaoMUsgLIcQDytfm89XxrwAY3nw4DuYOCie6t/5N+rM6cjUnkk7w6d+f8lnXz5SOJIQQQlRpaktLxdvez19//cXnn3/O1q1bmT17NqNHj2b79u2GLvPe3t7s27ePvLw8TExMALCzs8POzo4rV64UzqZW06RJE8P7li1bsnXrVj7++ONiC3lHR0eSixgqABiuCf924y9qm1arLc1t31N6ejqtW7cuMAngHU5OTiU6h6urK4mJiQW23Xnv6vrvw5Bbt26V6rwPSrrWCyHEA1p/aT3RqdHYm9kzrNkwpePcl1ql5n8d/oeRyoitMVvZf3W/0pGEEEII8QAyMzMZMWIEL774It26dWPp0qUcPnyYr7/+d6Wap59+mvT0dBYtWlTm6xgZGZFVzPh/gICAABISEoot5kvDz8+P/fsL/o2yf/9+mjVrZtgfFxdHfHy8Yf/BgwcLtA8MDCQyMhJnZ2eaNGlS4GVra1uiHEFBQezdu5e8vH+X7922bRu+vr6G8fEAp0+fxsTEhObNm5f6XstCCnkhhHgAOZocFoXr/0Ec02IMVqZWCicqGV8HX57xewaADw99SK4mV+FEQgghhCir6dOno9Pp+OijjwDw9PRk7ty5vPnmm4YZ2oOCgnj99dd5/fXXmTx5Mvv27SMmJoaDBw+ydOlSVCpVgbHtOp2OhIQEEhISiIqKYsmSJWzZsoV+/foVmyMgIABHR8dCBXhZvPHGG4SGhrJ48WIiIyOZN28eq1evZsqUKQAEBwfj4+PD8OHDOXHiBGFhYbz99tsFzvHss8/i6OhIv379CAsLIyoqit27dzNx4sQieyEU5ZlnnsHU1JTRo0dz5swZfv75Z+bPn8/kyZMLtAsLC6Nz586GLvYVTQp5IYR4AKvOrSIxMxHXOq4MbTpU6Til8nKrl3GycCI2LZZfL/yqdBwhhBBClMGePXtYuHAhy5cvx/KurvovvPACHTt2ZPTo0Yax73PnzmXlypUcP36cPn364O3tzZNPPolWq+XAgQPY2NgYjk9NTcXNzQ03Nzf8/Pz47LPPeO+99woVy3czMjJi5MiRRXZlL63+/fszf/585s6dS/Pmzfnmm29Yvnw5Xbt2BfRd/9esWUNWVhbt2rVjzJgxfPDBBwXOYWlpyd69e/Hw8GDgwIH4+fkxevRosrOzC9zrvdja2rJ161aioqJo3bo1r7/+OjNmzCg0fn/VqlWMHTv2ge+7pFS6u2c0EID+h9bW1paUlJQS/wcWQtQ+eZo8Qn4PISkriXeD3mWQT9VZN76kfrvwG7MOzMLezJ6NAzdWmx4FQgghREXIzs4mKiqKRo0aFTtpm7i3hIQEmjdvzrFjx2jYsKHScSrFpk2beP311zl58mSBVQGKcq+fsdLUofJEXgghymhj1EaSspJwtnDmicZPKB2nTPo36Y+njSfJOcksP7Nc6ThCCCGEqOZcXV1ZunQpsbGxSkepNBkZGSxfvvy+RXx5kkJeCCHKQKfT8f3Z7wF4xu8ZTIxM7nNE1WSsNubVwFcB+L+z/0dSZpKygYQQQghR7fXv35/OnTsrHaPSDB48mPbt21fqNaWQF0KIMjhw7QCRyZFYGlvypO+TSsd5II96PIq/kz9Z+VksPrFY6ThCCCGEEOI+FC3k9+7dS9++falXrx4qlYq1a9fes/2IESNQqVSFXndP8f/uu+8W2t+0adMKvhMhRG0TeiYUgIHeA7Exrd5zaahUKl5r/RoAqyNXE5USpXAiIYQQQghxL4oW8hkZGfj7+7Nw4cIStZ8/fz7x8fGGV1xcHA4ODjz5ZMGnYc2bNy/Qbt++fRURXwhRS52/dZ4D8QdQq9Q81+w5peOUi9YurenaoCsanYYvj3+pdBwhhBBCCHEPlTcavwi9evWiV69eJW5va2uLra2t4f3atWtJTk5m5MiRBdoZGxvj6upabjmFEOJuK86uAKBHwx7Ut6qvcJryMzFwIruv7GZbzDYuJl+kiX0TpSMJIYQQQogiVOsx8kuXLiU4OLjQsgaRkZHUq1cPLy8vnn322Vo1Y6IQomIlZiSy8fJGAEY0H6FsmHLmbe9N94bdAVhyaonCaYQQQgghRHGqbSF/7do1Nm3axJgxYwpsb9++PaGhoWzevJnFixcTFRVF586dSUtLK/ZcOTk5pKamFngJIURRfov8jXxdPq1dWtPcsfn9D6hmxrUcB8CW6C1Ep0QrG0YIIYQQQhSp2hby33//PXZ2dvTv37/A9l69evHkk0/SsmVLQkJC2LhxI7dv3+aXX34p9lxz5swxdNu3tbXF3d29gtMLIaqjfG0+ayLXADDUd6jCaSpGU4emdG3QFa1Oy7envlU6jhBCCCGEKEK1LOR1Oh3Lli3j+eefx9TU9J5t7ezs8PHx4eLFi8W2mT59OikpKYZXXFxceUcWQtQA+6/uJzEzETszOx7zeEzpOBXmBf8XAPjz8p/EpcnvQyGEEEKU3vnz53F1db1nz+iKEhoaip2dXamOKckqavfToUMHfv/99wc6R0lVy0J+z549XLx4kdGjR9+3bXp6OpcuXcLNza3YNmZmZtjY2BR4CSHEf/0W+RsATzR+AlOje3+IWJ095PgQnep1QqPTsPTUUqXjCCGEEOI+7l6m28TEBBcXF7p3786yZcvQarUF2np6eqJSqTh48GCB7a+++ipdu3Y1vL+zrPf48eMLtAsPD0elUhEdHX3PTNOnT2fChAlYW1s/0L1VFSVZOv2dd95h2rRphb7nFUHRQj49PZ3w8HDCw8MBiIqKIjw83DA53fTp0xk2bFih45YuXUr79u156KGHCu2bMmUKe/bsITo6mr/++osBAwZgZGTE008/XaH3IoSo2RIzEtl7ZS8Ag3wGKZym4t15Kr/u0jri0+MVTiOEEEKI++nZsyfx8fFER0ezadMmunXrxqRJk+jTpw/5+fkF2pqbmzN16tT7ntPc3JylS5cSGRlZqiyxsbFs2LCBESNGlOq4qqwkS6f36tWLtLQ0Nm3aVOF5FC3kjxw5QkBAAAEBAQBMnjyZgIAAZsyYAUB8fHyhGedTUlL4/fffi30af+XKFZ5++ml8fX0ZMmQIdevW5eDBgzg5OVXszQgharS1F9ei1WkJdA7Ey9ZL6TgVLsA5gHau7cjX5huW2xNCCCFqHZ0OcjOUeel0pYpqZmaGq6sr9evXJzAwkLfeeot169axadMmQkNDC7QdN24cBw8eZOPGjfc8p6+vL926dePtt98uVZZffvkFf39/6tf/d5neO93dN2zYgK+vL5aWlgwePJjMzEy+//57PD09sbe3Z+LEiWg0GsNxycnJDBs2DHt7eywtLenVq1ehDxZCQ0Px8PDA0tKSAQMGcPPmzUKZ1q1bR2BgIObm5nh5eTFr1qxCH3DcS69evZg9ezYDBgwoto2RkRG9e/dm1apVJT5vWSm6jnzXrl3R3eMH9L8/cKBfSz4zM7PYYyrjmyaEqF20Oi2rI1cDMNhnsMJpKs/Ih0ZyOOEwqyNX82KrF7ExlWFHQgghapm8TPiwnjLXfusamNZ5oFM8+uij+Pv7s3r16gKrfTVq1Ijx48czffp0evbsiVpd/PPdjz76iLZt23LkyBHatGlTouuGhYUV2TYzM5MFCxawatUq0tLSGDhwIAMGDMDOzo6NGzdy+fJlBg0aRKdOnRg6VD+x8IgRI4iMjGT9+vXY2NgwdepUevfuzdmzZzExMeHQoUOMHj2aOXPm0L9/fzZv3szMmTML5Rk2bBgLFiygc+fOXLp0iXHj9Cv1/Lftg2rXrh0fffRRuZ6zKNVyjLwQQlSmA9cOcC3jGtam1oZ11muDTvU60cSuCZn5mfx+oXImbhFCCCFE+WratGmR49nfeecdoqKi+PHHH+95fGBgIEOGDClRV/w7YmJiqFev8AcgeXl5LF68mICAALp06cLgwYPZt28fS5cupVmzZvTp04du3bqxa9cuAEMB/91339G5c2f8/f358ccfuXr1qmGM+vz58+nZsydvvvkmPj4+TJw4kZCQkALXnTVrFtOmTWP48OF4eXnRvXt33n//fb755psS31NJ1atXj7i4uAofJ6/oE3khhKgOfrvw7yR35sbmCqepPCqVimHNhjHjrxn8EPEDz/k9h4mRidKxhBBCiMpjYql/Mq7UtcuBTqdDpVIV2u7k5MSUKVOYMWOG4el3cWbPno2fnx9bt27F2dn5vtfMysrC3Lzw30yWlpY0btzY8N7FxQVPT0+srKwKbLt+/ToAERERGBsb0759e8P+unXr4uvrS0REhKHNf7u7BwUFsXnzZsP7EydOsH//fj744APDNo1GQ3Z2NpmZmVhals/3GsDCwgKtVktOTg4WFhbldt7/kifyQghxD8nZyeyO2w3AIO+aP8ndfz3u9TiOFo5cz7zO5ujN9z9ACCGEqElUKn33diVeRRTfZREREUGjRo2K3Dd58mSysrJYtGjRPc/RuHFjxo4dy7Rp0+45NPoOR0dHkpOTC203MSn4QODOLPv/3VbeT7PT09OZNWuWYaL18PBwTp06RWRkZJEfODyIW7duUadOnQot4kEKeSGEuKct0VvI1+XTrG4zvO29lY5T6UyNTHm6qX7VjxVnV5ToH28hhBBCVA07d+7k1KlTDBpU9MMIKysr/ve///HBBx/cd733GTNmcOHChRLNSRYQEMDZs2fLlPlufn5+5Ofnc+jQIcO2mzdvcv78eZo1a2Zoc/d+oNDSeoGBgZw/f54mTZoUet1rfoCyOH36tGEy94okhbwQQtzDn5f/BKB3o94KJ1HOEJ8hmBuZc+7WOQ4nHFY6jhBCCCGKkJOTQ0JCAlevXuXYsWN8+OGH9OvXjz59+hS5pPcd48aNw9bWlpUrV97z/C4uLkyePJkFCxbcN0tISAgHDhwoMPt8WXh7e9OvXz/Gjh3Lvn37OHHiBM899xz169enX79+AEycOJHNmzczd+5cIiMj+eqrrwp0qwf9hxArVqxg1qxZnDlzhoiICFatWsU777xT4iz3Wzr9jrCwMHr06PFA910SUsgLIUQxrqRdITwpHBUqejXqpXQcxdiZ29G/SX8Avj/zvbJhhBBCCFGkzZs34+bmhqenJz179mTXrl0sWLCAdevWYWRkVOxxJiYmvP/++2RnZ9/3GlOmTCkwnr04vXr1wtjYmO3bt5fqHoqyfPlyWrduTZ8+fQgKCkKn07Fx40ZDl/wOHTrw7bffMn/+fPz9/dm6dWuhAj0kJIQNGzawdetW2rZtS4cOHfj8889p2LBhiXPcb+l0gKtXr/LXX38xcuTIB77v+1HppJ9kIampqdja2pKSkoKNjSy3JERt9e3Jb1lwfAHt3drzXY/vlI6jqLjUOB5f8zg6dKzvv55GtkWPtRNCCCGqs+zsbKKiomjUqFG5j52ubRYuXMj69evZsmWL0lEqzdSpU0lOTmbJkiXFtrnXz1hp6lB5Ii+EEEXQ6XSGbvWPN3pc4TTKc7dx55EGjwDwy/lfFE4jhBBCiKruhRdeoEuXLvcde1+TODs78/7771fKtaSQF0KIIpxPPs+llEuYqk0JbhisdJwq4ammTwGw7uI6MvMyFU4jhBBCiKrM2NiYt99+G2tra6WjVJrXX38dFxeXSrmWFPJCCFGEjZc3AvCI+yNYm9aef4DuJaheEB7WHqTlpbHh8gal4wghhBBC1FpSyAshxH9odVo2RukLeelW/y+1Ss1Q36EArDq/SpaiE0IIIYRQiBTyQgjxH0cTj5KYmYi1iTWdG3RWOk6V0q9JP8yNzIlMjuTY9WNKxxFCCCGEqJWkkBdCiP+4M8ldd8/umBqZKpymarE1s+VxL30vhVXnVimcRgghhBCidpJCXggh7pKvzWdn7E6AWr12/L083fRpALbHbCcpM0nhNEIIIYQQtY8U8kIIcZfj14+TnJOMrZktbVzaKB2nSvJ18CXAOYB8XT6/XfhN6ThCCCGEELWOFPJCCHGXbTHbAOjm3g1jtbHCaaqup3z1S9H9Fvkb+dp8hdMIIYQQQtQuUsgLIcQ/tDotO2J3ANC9YXeF01RtwQ2DsTOz43rmdfZf3a90HCGEEEJUIV26dGHlypWKXFulUrF27doStx8xYgT9+/d/oGt+/fXX9O3b94HOUVpSyAshxD9O3TjF9czr1DGpQ3u39krHqdJMjUx5ovETgP6pvBBCCCGUodFo6NixIwMHDiywPSUlBXd3d95+++0C23///XceffRR7O3tsbCwwNfXl1GjRnH8+HFDm9DQUFQqleFlZWVF69atWb169X3zrF+/nsTERJ566qnyuUGFZWdnM2LECFq0aIGxsXGRRf+oUaM4duwYYWFhlZZLCnkhhPjHjhj90/gu9btgZmSmcJqqb5D3IADCroRxPfO6wmmEEEKI2snIyIjQ0FA2b97Mjz/+aNg+YcIEHBwcmDlzpmHb1KlTGTp0KK1atWL9+vWcP3+elStX4uXlxfTp0wuc18bGhvj4eOLj4zl+/DghISEMGTKE8+fP3zPPggULGDlyJGp1zSg1NRoNFhYWTJw4keDg4CLbmJqa8swzz7BgwYJKy1UzvrtCCPGAdDod22O3A/pu4+L+vOy8CHQORKPTsPbiWqXjCCGEEBUmL0dT7Cs/T1Pytrkla1taPj4+fPTRR0yYMIH4+HjWrVvHqlWrWLFiBaam+qV0Dx48yCeffMK8efOYN28enTt3xsPDg9atW/POO++wadOmAudUqVS4urri6uqKt7c3s2fPRq1Wc/LkyWJzJCUlsXPnzkLdzFUqFd988w19+vTB0tISPz8/Dhw4wMWLF+natSt16tShY8eOXLp0qcBxixcvpnHjxpiamuLr68v//d//FdgfGRlJly5dMDc3p1mzZmzbtq1Qpri4OIYMGYKdnR0ODg7069eP6OjoEn9v69Spw+LFixk7diyurq7Ftuvbty/r168nKyurxOd+EDKTkxBCABeSLxCXFoeZkRkP139Y6TjVxiCfQRy7fozVkasZ02IMapV8PiyEEKLmWTJpT7H7Gj5Ulz6v+BveL3sjjPxcbZFt63nbMeD1QMP7FW//RXZ6XqF2L3/9aKkzTpgwgTVr1vD8889z6tQpZsyYgb//v7l++uknrKyseOmll4o8XqVSFXtujUbDihUrAAgMDCy23b59+wyF+n+9//77hg8Rpk6dyjPPPGPoCeDh4cGoUaN45ZVXDB8orFmzhkmTJvHFF18QHBzMhg0bGDlyJA0aNKBbt25otVoGDhyIi4sLhw4dIiUlhVdffbXANfPy8ggJCSEoKIiwsDCMjY2ZPXs2PXv25OTJk4YPOcpDmzZtyM/P59ChQ3Tt2rXczlsc+YtLCCHA8DS+U71OWJpYKpym+ujesDvWJtZcTb/KwWsHlY4jhBBC1FoqlYrFixezY8cOXFxcmDZtWoH9Fy5cwMvLC2Pjf5/lzps3DysrK8MrJSXFsC8lJcWw3dTUlBdffJElS5bQuHHjYjPExMTg4uJSZLf6kSNHMmTIEHx8fJg6dSrR0dE8++yzhISE4Ofnx6RJk9i9e7eh/dy5cxkxYgQvvfQSPj4+TJ48mYEDBzJ37lwAtm/fzrlz51ixYgX+/v506dKFDz/8sMA1f/75Z7RaLd999x0tWrTAz8+P5cuXExsbW+Ba5cHS0hJbW1tiYmLK9bzFkSfyQggBbI+RbvVlYWFsweNej7Pq/Cp+i/yNjvU7Kh1JCCGEKHfj5j9S7L7/dkYb9Wnn4tv+56H3sA/K99/NZcuWYWlpSVRUFFeuXMHT0/Oe7UeNGsUTTzzBoUOHeO6559DpdIZ91tbWHDt2DIDMzEy2b9/O+PHjqVu3brEztGdlZWFubl7kvpYtWxq+dnFxAaBFixYFtmVnZ5OamoqNjQ0RERGMGzeuwDk6derE/PnzAYiIiMDd3Z169eoZ9gcFBRVof+LECS5evIi1tXWB7dnZ2YW68ZcHCwsLMjMzy/28RZFCXghR60WlRHHx9kWMVcZ0adBF6TjVzmCfwaw6v4pdsbu4kXUDRwtHpSMJIYQQ5crEzEjxtvfz119/8fnnn7N161Zmz57N6NGj2b59u6HLvLe3N/v27SMvLw8TExMA7OzssLOz48qVK4XOp1aradKkieF9y5Yt2bp1Kx9//HGxhbyjoyPJyclF7rtzTfi3G39R27TaoocllEV6ejqtW7cuMAngHU5OTuV2nTtu3bpVIectinStF0LUervjdgPQzq0dtma2imapjnwdfGnh2IJ8XT4bLm1QOo4QQghR62RmZjJixAhefPFFunXrxtKlSzl8+DBff/21oc3TTz9Neno6ixYtKvN1jIyM7jmZW0BAAAkJCcUW86Xh5+fH/v37C2zbv38/zZo1M+yPi4sjPj7esP/gwYLD/AIDA4mMjMTZ2ZkmTZoUeNnalu/ffJcuXSI7O5uAgIByPW9xpJAXQtR6e67oJ7Dp6t5V2SDV2ADvAQCsu7SuQLc8IYQQQlS86dOno9Pp+OijjwDw9PRk7ty5vPnmm4YZ2oOCgnj99dd5/fXXmTx5Mvv27SMmJoaDBw+ydOlSVCpVgbHtOp2OhIQEEhISiIqKYsmSJWzZsoV+/foVmyMgIABHR8dCBXhZvPHGG4SGhrJ48WIiIyOZN28eq1evZsqUKQAEBwfj4+PD8OHDOXHiBGFhYbz99tsFzvHss8/i6OhIv379CAsLIyoqit27dzNx4sQieyEU5+zZs4SHh3Pr1i1SUlIIDw8nPDy8QJuwsDC8vLzuOYdAeZJCXghRq6XkpBB+PRxAutU/gBDPEMyMzLh4+yJnb55VOo4QQghRa+zZs4eFCxeyfPlyLC3/nbD3hRdeoGPHjowePdrwIfvcuXNZuXIlx48fp0+fPnh7e/Pkk0+i1Wo5cOAANjY2huNTU1Nxc3PDzc0NPz8/PvvsM957771CxfLdjIyMGDlyZJFd2Uurf//+zJ8/n7lz59K8eXO++eYbli9fbpgRXq1Ws2bNGrKysmjXrh1jxozhgw8+KHAOS0tL9u7di4eHBwMHDsTPz4/Ro0eTnZ1d4F7vp3fv3gQEBPDHH3+we/duAgICCj15/+mnnxg7duwD33dJqXTy6KSQ1NRUbG1tSUlJKdV/YCFE9bPx8kamhk2liV0T1vRbo3Scau3NvW+yKWoTT/k+xdsdiv9HXgghhKiqsrOziYqKolGjRsVO2ibuLSEhgebNm3Ps2DEaNmyodJxKcebMGR599FEuXLhw3y779/oZK00dKk/khRC12p1u9Y80KH42WlEy/Rv3B2Bj1EZyNDnKhhFCCCGEIlxdXVm6dCmxsbFKR6k08fHxrFixotzH3d+LzFovhKi18rX57Lu6D4BH3KWQf1Dt3drjYulCYmYiu+N2E+IZonQkIYQQQiigf//+SkeoVMHBlb98sTyRF0LUWieSTpCam4qtmS0tHVve/wBxT0ZqI55o/AQA6y6uUziNEEIIIUTNJYW8EKLWutOtvnP9zhipy28d19rsTiG//9p+kjKTFE4jhBBCCFEzSSEvhKi19sbtBWR8fHnytPUkwDkArU7LhsuyprwQQgghREWQQl4IUSvFpcVxKeUSRiojOtbvqHScGqVfY/36smsvrpU15YUQQgghKoAU8kKIWmnvFf3T+ECXQGxMZZnJ8hTiGYK5kTmXUy7LmvJCCCGEEBVACnkhRK20J06WnasoVqZWdHPvBiDd64UQQgghKoAU8kKIWiczL5O/E/8GoEuDLgqnqZn6NO4D6NeUz9fmK5xGCCGEEKJmkUJeCFHr/J3wN/nafOpb1cfTxlPpODVSUL0gHMwduJV9iwPXDigdRwghhBCV7Pz587i6upKWllbp1w4NDcXOzq5Ux6hUKtauXVvma+bm5uLp6cmRI0fKfI7SkEJeCFHr7L+2H4BO9TqhUqkUTlMzmahN6OnZE5Du9UIIIURFGzFiBCqVCpVKhYmJCS4uLnTv3p1ly5ah1WoLtPX09ESlUnHw4MEC21999VW6du1qeP/uu++iUqkYP358gXbh4eGoVCqio6PvmWn69OlMmDABa2vrB7q3qmLOnDm0bdsWa2trnJ2d6d+/P+fPnzfsNzU1ZcqUKUydOrVS8kghL4Sodf669heAzFZfwfo27gvAztidZORlKJxGCCGEqNl69uxJfHw80dHRbNq0iW7dujFp0iT69OlDfn7BYW7m5uYlKjjNzc1ZunQpkZGRpcoSGxvLhg0bGDFiRKmOq8r27NnDyy+/zMGDB9m2bRt5eXn06NGDjIx//8Z59tln2bdvH2fOnKnwPFLICyFqlStpV4hJjcFYZUx71/ZKx6nRmtdtjqeNJ9mabHbE7lA6jhBCCFFqOp2OzLxMRV6lXcLVzMwMV1dX6tevT2BgIG+99Rbr1q1j06ZNhIaGFmg7btw4Dh48yMaNG+95Tl9fX7p168bbb79dqiy//PIL/v7+1K9f37DtTnf3DRs24Ovri6WlJYMHDyYzM5Pvv/8eT09P7O3tmThxIhqNxnBccnIyw4YNw97eHktLS3r16lXog4XQ0FA8PDywtLRkwIAB3Lx5s1CmdevWERgYiLm5OV5eXsyaNavQBxz3snnzZkaMGEHz5s3x9/cnNDSU2NhYjh49amhjb29Pp06dWLVqVWm+XWViXOFXEEKIKuTO0/iWTi2xMrVSOE3NplKpeNzrcRaGL2TDpQ080fgJpSMJIYQQpZKVn0X7lcp88H/omUNYmlg+0DkeffRR/P39Wb16NWPGjDFsb9SoEePHj2f69On07NkTtbr457sfffQRbdu25ciRI7Rp06ZE1w0LCyuybWZmJgsWLGDVqlWkpaUxcOBABgwYgJ2dHRs3buTy5csMGjSITp06MXToUEA/bCAyMpL169djY2PD1KlT6d27N2fPnsXExIRDhw4xevRo5syZQ//+/dm8eTMzZ84slGfYsGEsWLCAzp07c+nSJcaNGwdQqG1JpaSkAODg4FBge7t27QgLCyvTOUtDnsgLIWqV/Vf/GR9fv5PCSWqHx70eB+BQwiGuZ15XOI0QQghR+zRt2rTI8ezvvPMOUVFR/Pjjj/c8PjAwkCFDhpRq7HdMTAz16tUrtD0vL4/FixcTEBBAly5dGDx4MPv27WPp0qU0a9aMPn360K1bN3bt2gVgKOC/++47OnfujL+/Pz/++CNXr141TEw3f/58evbsyZtvvomPjw8TJ04kJCSkwHVnzZrFtGnTGD58OF5eXnTv3p3333+fb775psT3dDetVsurr75Kp06deOihhwrsq1evHjExMWU6b2nIE3khRK2Rp83jUMIhQD/Rnah47tbuBDgHcPz6cTZFbWJ48+FKRxJCCCFKzMLYgkPPHFLs2uVBp9MVObmvk5MTU6ZMYcaMGYan38WZPXs2fn5+bN26FWdn5/teMysrC3Nz80LbLS0tady4seG9i4sLnp6eWFlZFdh2/br+w/+IiAiMjY1p3/7fXhF169bF19eXiIgIQ5sBAwYUuE5QUBCbN282vD9x4gT79+/ngw8+MGzTaDRkZ2eTmZmJpWXpej68/PLLnD59mn379hXaZ2FhQWZmZqnOVxZSyAshao2TSSfJyMvA3swev7p+SsepNfp49eH49eP8eflPKeSFEEJUKyqV6oG7tystIiKCRo0aFblv8uTJLFq0iEWLFt3zHI0bN2bs2LFMmzaNpUuX3veajo6OJCcnF9puYmJS4P2dWfb/u+2/M+0/qPT0dGbNmsXAgQML7SvqA4d7eeWVV9iwYQN79+6lQYMGhfbfunULJyenMmctKelaL4SoNe50q+9QrwNqlfz6qyzdG3bHWGVMxK0IolKilI4jhBBC1Bo7d+7k1KlTDBo0qMj9VlZW/O9//+ODDz6473rvM2bM4MKFCyWayC0gIICzZ8+WKfPd/Pz8yM/P59Chf3tF3Lx5k/Pnz9OsWTNDm7v3A4WW1gsMDOT8+fM0adKk0Ote8wPcTafT8corr7BmzRp27txZ7Icjp0+fJiAgoDS3WSbyl6wQota4M9GddKuvXPbm9nSo1wGAzdGb79NaCCGEEGWRk5NDQkICV69e5dixY3z44Yf069ePPn36MGzYsGKPGzduHLa2tqxcufKe53dxcWHy5MksWLDgvllCQkI4cOBAgdnny8Lb25t+/foxduxY9u3bx4kTJ3juueeoX78+/fr1A2DixIls3ryZuXPnEhkZyVdffVWgWz3oP4RYsWIFs2bN4syZM0RERLBq1SreeeedEmd5+eWX+eGHH1i5ciXW1tYkJCSQkJBAVlZWgXZhYWH06NHjge67JKSQF0LUCsnZyZy9qf9kuGM9WT++svVq1AuATVGbSr2cjhBCCCHub/Pmzbi5ueHp6UnPnj3ZtWsXCxYsYN26dRgZGRV7nImJCe+//z7Z2dn3vcaUKVMKjGcvTq9evTA2Nmb79u2luoeiLF++nNatW9OnTx+CgoLQ6XRs3LjR0CW/Q4cOfPvtt8yfPx9/f3+2bt1aqEAPCQlhw4YNbN26lbZt29KhQwc+//xzGjZsWOIcixcvJiUlha5du+Lm5mZ4/fzzz4Y2Bw4cICUlhcGDBz/wfd+PSqfgX1R79+7l008/5ejRo8THx7NmzRr69+9fbPvdu3fTrVu3Qtvj4+NxdXU1vF+4cCGffvopCQkJ+Pv78+WXX9KuXbsS50pNTcXW1paUlBRsbGxKdU9CiKpp4+WNTA2bio+9D78/8bvScWqdtNw0uv7clVxtLr/1/Q1fB1+lIwkhhBCFZGdnExUVRaNGjUo9dloUtHDhQtavX8+WLVuUjlJphg4dir+/P2+99Vaxbe71M1aaOlTRJ/IZGRn4+/uzcOHCUh13/vx54uPjDa+7Z078+eefmTx5MjNnzuTYsWP4+/sTEhJimPlQCFE77b/2z7Jz0q1eEdam1nRu0BmQ7vVCCCFEbfDCCy/QpUuX+469rylyc3Np0aIFr732WqVcT9FCvlevXsyePbvQcgH34+zsjKurq+F19wQF8+bNY+zYsYwcOZJmzZrx9ddfY2lpybJly8o7vhCimtDpdByM1096cmestqh8PRv1BKR7vRBCCFEbGBsb8/bbb2Ntba10lEphamrKO++8g4VF+SwbeD/Vcox8q1atcHNzo3v37uzfv9+wPTc3l6NHjxIcHGzYplarCQ4O5sCBA8WeLycnh9TU1AIvIUTNEZ0azfXM65ioTQhwrvhZREXRutTvgoWxBVfTr3L6xmml4wghhBBCVFvVqpB3c3Pj66+/5vfff+f333/H3d2drl27cuzYMQBu3LiBRqPBxcWlwHEuLi4kJCQUe945c+Zga2treLm7u1fofQghKteheP2SJK2cW2FhXDmfkorCLE0s6ereFYBN0ZuUDSOEEEIIUY1Vq0Le19eXF154gdatW9OxY0eWLVtGx44d+fzzzx/ovNOnTyclJcXwiouLK6fEQoiq4E4h3961vcJJRC9P/ez1W6K2oNVpFU4jhBBCCFE9VatCvijt2rXj4sWLADg6OmJkZERiYmKBNomJiQVmtf8vMzMzbGxsCryEEDWDRqvhcMJhANq7SSGvtE71O2Ftas31rOscSzymdBwhhBBCiGqp2hfy4eHhuLm5AfoJBlq3bs2OHTsM+7VaLTt27CAoKEipiEIIBZ1LPkdqbip1TOrwkONDSsep9UyNTAn20M9jIrPXCyGEEEKUjbGSF09PTzc8TQeIiooiPDwcBwcHPDw8mD59OlevXmXFihUAfPHFFzRq1IjmzZuTnZ3Nd999x86dO9m6davhHJMnT2b48OG0adOGdu3a8cUXX5CRkcHIkSMr/f6EEMq7062+jUsbjNWK/soT/+jZqCdrLq5ha/RWprabionaROlIQgghhBDViqJ/1R45coRu3boZ3k+ePBmA4cOHExoaSnx8PLGxsYb9ubm5vP7661y9ehVLS0tatmzJ9u3bC5xj6NChJCUlMWPGDBISEmjVqhWbN28uNAGeEKJ2MIyPl271VUY713Y4mDtwK/sWh+MP06l+J6UjCSGEEEJUKyqdLOZbSGpqKra2tqSkpMh4eSGqsVxNLp1+6kS2Jpvfn/gdH3sfpSOJf8w+OJufz/9Mv8b9mP3wbKXjCCGEEABkZ2cTFRVFo0aNMDc3VzpOtdWlSxfGjx/PM888U+nXVqlUrFmzhv79+5eo/YgRI7h9+zZr164t8zWnTZtGRkYGX3755X3b3utnrDR1aLUfIy+EEMU5kXSCbE02DuYOeNt5Kx1H3KVXI/3s9Ttid5CryVU4jRBCCFF9aTQaOnbsyMCBAwtsT0lJwd3dnbfffrvA9t9//51HH30Ue3t7LCws8PX1ZdSoURw/ftzQJjQ0FJVKZXhZWVnRunVrVq9efd8869evJzExkaeeeqp8blBhu3fvpl+/fri5uVGnTh1atWrFjz/+WKDNlClT+P7777l8+XKl5ZJCXghRY9297JxKpVI4jbhbgHMAzpbOpOels+/qPqXjCCGEENWWkZERoaGhbN68uUCBOWHCBBwcHJg5c6Zh29SpUxk6dCitWrVi/fr1nD9/npUrV+Ll5cX06dMLnNfGxob4+Hji4+M5fvw4ISEhDBkyhPPnz98zz4IFCxg5ciRqdc0oNf/66y9atmzJ77//zsmTJxk5ciTDhg1jw4YNhjaOjo6EhISwePHiSstVM767QghRBBkfX3WpVWp6evYEYHOUzF4vhBCiasvLzi72lZ+bW+K2ebk5JWpbWj4+Pnz00UdMmDCB+Ph41q1bx6pVq1ixYgWmpqYAHDx4kE8++YR58+Yxb948OnfujIeHB61bt+add95h06ZNBc6pUqlwdXXF1dUVb29vZs+ejVqt5uTJk8XmSEpKYufOnfTt27fQub755hv69OmDpaUlfn5+HDhwgIsXL9K1a1fq1KlDx44duXTpUoHjFi9eTOPGjTE1NcXX15f/+7//K7A/MjKSLl26YG5uTrNmzdi2bVuhTHFxcQwZMgQ7OzscHBzo168f0dHRJf7evvXWW7z//vt07NiRxo0bM2nSJHr27Fmod0Lfvn1ZtWpVic/7oGQKZyFEjZSRl8HpG6cBKeSrql6NerHi7Ap2X9lNZl4mliaWSkcSQgghirRg+OBi9zUKaMPAae8a3i8a9yz5OTlFtm3Q7CGGzvzI8P7bV0aRlZZaqN3rP28otO1+JkyYwJo1a3j++ec5deoUM2bMwN/f37D/p59+wsrKipdeeqnI4+/Ve1Gj0RhWEgsMDCy23b59+wyF+n+9//77hg8Rpk6dyjPPPGPoCeDh4cGoUaN45ZVXDB8orFmzhkmTJvHFF18QHBzMhg0bGDlyJA0aNKBbt25otVoGDhyIi4sLhw4dIiUlhVdffbXANfPy8ggJCSEoKIiwsDCMjY2ZPXs2PXv25OTJk4YPOUorJSWl0D22a9eOK1euEB0djaenZ5nOWxryRF4IUSMdTTxKvi6f+lb1aWDdQOk4ogjN6zangVUDsvKz2Htlr9JxhBBCiGpNpVKxePFiduzYgYuLC9OmTSuw/8KFC3h5eWFs/O+z3Hnz5mFlZWV4paSkGPalpKQYtpuamvLiiy+yZMkSGjduXGyGmJgYXFxciuxWP3LkSIYMGYKPjw9Tp04lOjqaZ599lpCQEPz8/Jg0aRK7d+82tJ87dy4jRozgpZdewsfHh8mTJzNw4EDmzp0LwPbt2zl37hwrVqzA39+fLl268OGHHxa45s8//4xWq+W7776jRYsW+Pn5sXz5cmJjYwtcqzR++eUX/v7770LLm9erV8/wPagM8kReCFEj/Z3wNyBP46sylUpFr0a9+PbUt2yK2kTPRj2VjiSEEEIUaeL3vxW7T/WfovWlJT8W0xJQF3zqPfarZQ+U67+WLVuGpaUlUVFRXLly5b5PhkeNGsUTTzzBoUOHeO6557h7QTNra2uOHTsGQGZmJtu3b2f8+PHUrVu3UNf5O7Kysoqd7b9ly5aGr+8sDd6iRYsC27Kzs0lNTcXGxoaIiAjGjRtX4BydOnVi/vz5AERERODu7m4ooAGCgoIKtD9x4gQXL17E2tq6wPbs7OxC3fhLYteuXYwcOZJvv/2W5s2bF9hnYWEB6L9XlUEKeSFEjXSnkG/r2lbhJOJeejbqybenviXsahhpuWlYm1rf/yAhhBCikpmUYim6imp7P3/99Reff/45W7duZfbs2YwePZrt27cbusx7e3uzb98+8vLyMDExAcDOzg47OzuuXLlS6HxqtZomTZoY3rds2ZKtW7fy8ccfF1vIOzo6kpycXOS+O9eEf7vxF7VNq9WW5rbvKT09ndatWxeaZR7AycmpVOfas2cPffv25fPPP2fYsGGF9t+6datM5y0r6VovhKhx0nLTiLgVAUAblzYKpxH34m3njZetF3naPHbH7VY6jhBCCFEtZWZmMmLECF588UW6devG0qVLOXz4MF9//bWhzdNPP016ejqLFi0q83WMjIzIysoqdn9AQAAJCQnFFvOl4efnx/79+wts279/P82aNTPsj4uLIz4+3rD/4MGDBdoHBgYSGRmJs7MzTZo0KfCytbUtcZbdu3fz+OOP8/HHHxfqJXDH6dOnMTExKfSkvqJIIS+EqHGOXz+OVqfFw9oD1zquSscR96BSqejesDsA22IKzzQrhBBCiPubPn06Op2Ojz7ST6Tn6enJ3LlzefPNNw0ztAcFBfH666/z+uuvM3nyZPbt20dMTAwHDx5k6dKlqFSqAmPbdTodCQkJJCQkEBUVxZIlS9iyZQv9+vUrNkdAQACOjo6FCvCyeOONNwgNDWXx4sVERkYyb948Vq9ezZQpUwAIDg7Gx8eH4cOHc+LECcLCwnj77bcLnOPZZ5/F0dGRfv36ERYWRlRUFLt372bixIlF9kIoyq5du3j88ceZOHEigwYNMnxP7jyBvyMsLIzOnTsbuthXNCnkhRA1jnSrr156ePYAYP/V/aTnpiucRgghhKhe9uzZw8KFC1m+fDmWlv+uAPPCCy/QsWNHRo8ebRj7PnfuXFauXMnx48fp06cP3t7ePPnkk2i1Wg4cOICNjY3h+NTUVNzc3HBzc8PPz4/PPvuM9957r1CxfDcjIyNGjhxZZFf20urfvz/z589n7ty5NG/enG+++Ybly5fTtWtXQN/1f82aNWRlZdGuXTvGjBnDBx98UOAclpaW7N27Fw8PDwYOHIifnx+jR48mOzu7wL3ey/fff09mZiZz5swxfD/c3NwYOHBggXarVq1i7NixD3zfJaXS3T2jgQD0P7S2trakpKSU+D+wEKLqeHrD05y+eZo5nefQx6uP0nHEfeh0Op5Y+wTRqdF83Pljenv1VjqSEEKIWio7O5uoqCgaNWpU7KRt4t4SEhJo3rw5x44do2HDhkrHqRSbNm3i9ddf5+TJkwVWBSjKvX7GSlOHyhN5IUSNkp6bztlbZwEZH19dSPd6IYQQouZwdXVl6dKlxMbGKh2l0mRkZLB8+fL7FvHlSWatF0LUKMeuH0Or0+Ju7S7j46uRHp49DLPXZ+ZlYmlief+DhBBCCFEl9e/fX+kIlWrw4MGVfk15Ii+EqFGOJBwBZHx8deNr74u7tTs5mhz2Xt2rdBwhhBBCiCpNCnkhRI1yZ6I76VZfvahUKno01E96tzV6q8JphBBCCCGqNinkhRA1xt3j4+WJfPXT3VM/Tn7f1X1k5mUqnEYIIURtptVqlY4gaqjy+tmSMfJCiBpDxsdXb80cmlHfqj5X06+y/9p+wwR4QgghRGUxNTVFrVZz7do1nJycMDU1RaVSKR1L1AA6nY7c3FySkpJQq9WYmpo+0PmkkBdC1BgyPr56u9O9fvmZ5WyN3iqFvBBCiEqnVqtp1KgR8fHxXLt2Tek4ogaytLTEw8MDtfrBOsdLIS+EqDFkfHz1171hd5afWc6eK3vIzs/G3FjW8BVCCFG5TE1N8fDwID8/H41Go3QcUYMYGRlhbGxcLr08pJAXQtQIGXkZMj6+BnjI8SHc6rgRnxHP/qv7eazhY0pHEkIIUQupVCpMTEwwMTFROooQRZLJ7oQQNUL49XC0Oi31rerL+PhqTKVSGbrUb42R2euFEEIIIYoihbwQokY4mngUgNYurRVOIh7UnUJ+z5U95GhyFE4jhBBCCFH1SCEvhKgRpJCvOVo6tcTF0oWMvAz+uvqX0nGEEEIIIaocKeSFENVejiaHUzdOAVLI1wRqldrwVH5bzDaF0wghhBBCVD1SyAshqr3TN06Tp82jrnldPKw9lI4jykEPzx4A7IrbRa4mV+E0QgghhBBVixTyQohq7+5u9eWxnIdQnr+TP04WTqTnpXMw/qDScYQQQgghqhQp5IUQ1d6xxGMABLoEKpxElBe1Sk1ww2AAtkbL7PVCCCGEEHeTQl4IUa3la/M5fv04AG1c2iicRpSnHg313et3xu0kT5OncBohhBBCiKpDCnkhRLV2Pvk8mfmZWJtY08SuidJxRDkKcA6grnld0nLTpHu9EEIIIcRdpJAXQlRrRxP04+MDXAIwUhspnEaUJyO1kaF7/fbY7QqnEUIIIYSoOqSQF0JUa8eu/zM+3lnGx9dEdwr5nbE7ydfmK5xGCCGEEKJqkEJeCFFt6XQ6w0R3sn58zdTGpQ12ZnbczrltWJ1ACCGEEKK2k0JeCFFtRaVEkZyTjLmROc3rNlc6jqgAxmpjurl3A2BbzDaF0wghhBBCVA1SyAshqq0jiUcAaOnUEhMjE4XTiIrSvWF3QN+9XqvTKpxGCCGEEEJ5UsgLIaqtO+PjpVt9zdbBrQPWJtYkZSVxIumE0nGEEEIIIRQnhbwQotoKvx4OQCvnVormEBXLxMiER9wfAWBr9FaF0wghhBBCKE8KeSFEtXQ98zpX06+iVqlp6dhS6Tiigt2ZvX5H7A50Op3CaYQQQgghlCWFvBCiWrrTxdrbzhsrUyuF04iK1qleJyyMLYjPiOfMzTNKxxFCCCGEUJQU8kKIaun49eOAdKuvLcyNzelcvzMgs9cLIYQQQkghL4Solk5c1z+Rl0K+9rgze/32mO3SvV4IIYQQtZoU8kKIaic7P5uzt84C0MqplbJhRKXp3KAzpmpTYtNiuZB8Qek4QgghhBCKkUJeCFHtnL15lnxtPo4WjtS3qq90HFFJ6pjUoVP9TgBsj92ucBohhBBCCOVIIS+EqHbujI8PcA5ApVIpnEZUpru71wshhBBC1FZSyAshqp3wpHAA/J38lQ0iKt0j7o9grDbm4u2LXE65rHQcIYQQQghFSCEvhKhWdDqdTHRXi9mY2tDerT0gT+WFEEIIUXtJIS+EqFZi02JJzknGVG1KM4dmSscRCujuId3rhRBCCFG7SSEvhKhW7oyPf8jxIUyMTBROI5TQzaMbapWaiFsRxKXFKR1HCCGEEKLSKVrI7927l759+1KvXj1UKhVr1669Z/vVq1fTvXt3nJycsLGxISgoiC1bthRo8+6776JSqQq8mjZtWoF3IYSoTOHXwwHwd5bx8bWVg7kDbVzaALAjZofCaYQQQgghKp+ihXxGRgb+/v4sXLiwRO337t1L9+7d2bhxI0ePHqVbt2707duX48ePF2jXvHlz4uPjDa99+/ZVRHwhhAJOJP0zPl7Wj6/VghsGA7AtdpvCSYQQQgghKp+xkhfv1asXvXr1KnH7L774osD7Dz/8kHXr1vHHH38QEBBg2G5sbIyrq2t5xRRCVBEpOSlcvH0RkInuarvHPB7jw0MfcjLpJAkZCbjWkd/5QhRJq4GsZMi8CTlpoM0HTZ7+f41MwMQSTK3AtA7UcQJjU6UTCyGEKAFFC/kHpdVqSUtLw8HBocD2yMhI6tWrh7m5OUFBQcyZMwcPD49iz5OTk0NOTo7hfWpqaoVlFkKU3cmkkwA0tGmIg7nDfVqLmszZ0pkA5wCOXz/OjtgdPOv3rNKRhFCOJg+SzkH8Sbh5EW5dhuQouB0LWbcBXcnPZekINm5g0wCcfMCp6b8vU8uKugMhhBClVK0L+blz55Kens6QIUMM29q3b09oaCi+vr7Ex8cza9YsOnfuzOnTp7G2ti7yPHPmzGHWrFmVFVsIUUayfry4W7BHMMevH2d7zHYp5EXtkp0C0fshai9cOQwJp0GTc+9jzO3A3AbUJqA2BrWR/gOAvEzIzYDcdP1T+swb+lfCKbiw6d/j1cbg2gLc24N7O/DsAlZOFXqbQgghildtC/mVK1cya9Ys1q1bh7Ozs2H73V31W7ZsSfv27WnYsCG//PILo0ePLvJc06dPZ/LkyYb3qampuLu7V1x4IUSZyPrx4m7BDYP59MinHE08yo2sGzhaOCodSYiKodPpn7ifXQ+RW+DacdBpC7YxswE3f/2Tc4dGYN8I7D313eUt7MHoPn/y6XSQeQvSrkFqPNyOgaTz+usmnYOMJP11rx2HQ1/rj6kXCD4h4N1d/7VKVSG3L4QQorBqWcivWrWKMWPG8OuvvxIcHHzPtnZ2dvj4+HDx4sVi25iZmWFmZlbeMYUQ5Shfm8/JG/qu9QFOAfdpLWqDelb1aF63OWdunmFn7E6G+A65/0FCVCdJF+DkKn0BfzOy4L66TaBRF2jYCeoF6At39QPMYaxSQZ26+pdri8L7b8dB3CH9K+YAJJ6Ca8f0r91zwK4htHgSWg4BJ9+y5xBCCFEi1a6Q/+mnnxg1ahSrVq3i8ccfv2/79PR0Ll26xPPPP18J6YQQFeVC8gWy8rOwNrHGy85L6TiiighuGMyZm2fYHrNdCnlRM+Skw5k1cPwHiDv473YjU2j8KDTtA427gW2Dys1l565/tRisf5+WAJHbIHIrXNqpf4IfNlf/cvOHtmPgocEyrl4IISqIooV8enp6gSflUVFRhIeH4+DggIeHB9OnT+fq1ausWLEC0HenHz58OPPnz6d9+/YkJCQAYGFhga2tLQBTpkyhb9++NGzYkGvXrjFz5kyMjIx4+umnK/8GhRDl5s768S2dW6JWKbpypqhCujfszvxj8/k74W9SclKwNbNVOpIQZXM7Fg59A0e/h9w0/TaVkb7beosnwbuHfox7VWHtCoHP61+5mfrx9Cd/hYvbIP4ErJ8AW/8HAc9Bu7H6bv5CCCHKjaKF/JEjR+jWrZvh/Z1x6sOHDyc0NJT4+HhiY2MN+5csWUJ+fj4vv/wyL7/8smH7nfYAV65c4emnn+bmzZs4OTnx8MMPc/DgQZycZEIWIaqzOxPdyfrx4m4NbRribe9NZHIku+J20b9Jf6UjCVE6147D/gVwdh3oNPptDo31BXLLp/QzyFd1ppbw0CD9K+MmnFgJh7/VP6U/8BUcXAwth0Ln18GxidJphRCiRlDpdLpSrElSO6SmpmJra0tKSgo2NlXo028harEev/UgPiOe73p8R3u39krHEVXI4vDFLDqxiEcaPMJXj32ldBwhSib+BOz+CM5v/HebV1cIegUaP/Zg492rAq0GLm7XF/GXd+m3qdT6Yv+RaVLQCyFEEUpTh1bzfyWEELVBQkYC8RnxqFVqWjgWMQmTqNWCG+onPf3r2l+k56YrnEaI+0g6Dz8/B9900RfxKjW0GALj98Gwdfqu9NW9iAf98nY+ITBsLYzZCT499TPtn/oVFrWHTVP1s+QLIYQokxrwL4UQoqY7kaRfds7X3hdLE5k4SRTUxK4Jnjae5Gnz2Htlr9JxhCha5i3Y+AYsCoKIPwCVfuz7y4dh0LdFzxRfUzRoDc/8DOP26Mf6a/P1S9gtaAUHFurXsxdCCFEqUsgLIaq8OxPdyfrxoigqlYruDbsDsD12u8JphPgPTZ6+e/mCVnB4iX4cvG9veOkgDPoOHL2VTlh56rWCZ3+F59eAc3PIToEtb8GSrnDlqNLphBCiWpFCXghR5RkKeZnoThTjTvf6sCthZOZlKpxGiH9cOQJLusHmafqi1eUhGLYenv4JnJsqnU45jR+F8WHQdwFYOEDiafjuMdg0DXLSlE4nhBDVghTyQogqLSs/i3O3zgHyRF4Uz8/Bj/pW9cnWZLP/2n6l44jaLjsV/pwC3wVD4imwsIc+X8ALe8HrEaXTVQ1qI2g9HF75Wz+jPTo4tFg/9CBa/j8shBD3I4W8EKJKO3PjDPm6fJwtnHGrUw2WYRKKUKlUBHvon8pvi9mmcBpRq13cAQvbw9/fAjr9EnKvHIE2I/XFqyiojiMMXALP/Q52HpASB9/3gR3vy9h5IYS4BynkhRBVmmH9eOdWqFQqZcOIKu1O9/q9V/aSq8lVOI2odXIzYMNk+GEgpF0D+0b6WegHfqMvVsW9NQmGF/+CVs/qZ7cPmwvLQuDWZaWTCSFElSSFvBCiSpOJ7kRJtXRqibOFMxl5GRy4dkDpOKI2ifsbFneCI0v179uNgxf369eFFyVnZg39F8Hg5WBuC1ePwjdd4fxmpZMJIUSVI4W8EKLK0ul0/z6Rl4nuxH2oVWoea/gYIN3rRSXRamHf5/onx8lRYFMfnl8LvT8F0zpKp6u+Hhqofzrv3gFyUuCnobD7I/33WwghBCCFvBCiCotOjSYlJwUzIzOaOtTiGZ5Fid1Zhm5X3C7ytDK+VlSg9CT4cTBsf1e/pNxDg/TFZ+NuSierGWwbwPA/oO1Y/fvdc2DV0/rZ/4UQQkghL4Souu50q3/I8SFMjEyUDSOqhUDnQBzMHUjNTeXvhL+VjiNqquj98HUnuLQDjC30y6gNWgoWdkonq1mMTeHxudBvERiZwYXNsKwnpFxROpkQQihOCnkhRJUl3epFaRmpjXjU41FAuteLCqDTwcHF8H1fSE8Ep6Ywbpd+GTWZjLPiBDwLozaDlStcP6tf1i/hlNKphBBCUVLICyGqLJnoTpRFdw999/qdsTvRaDUKpxE1Rm4mrB4Hm6fpu9K3eBLG7gRnP6WT1Q71A2HMdnDyg7R4WNZLv9SfEELUUlLICyGqpJScFC6n6Jcd8nfyVziNqE7aurXFxtSGW9m3OHb9mNJxRE1wOw6W9YBTv4DKCHp+BAO/lQntKpudu/7JvGdnyE2DlUPg9O9KpxJCCEVIIS+EqJJOJJ0AwNPGE3tze4XTiOrERG1CV/euAGyP2a5sGFH9xf0N3z6q78pdxwmGr4cOL0pXeqVY2MFzv8NDg0GbD7+PgfCVSqcSQohKJ4W8EKJKkm714kHcmb1+e+x2tDpZskqU0anfIPRxyLgOLg/B2F3g+bDSqYSxmb5HROBw0Glh7YtwZNkDn1an05GVnkZy/FXSbt4gOz0dTX5+OQQWQojyZ6x0ACGEKIpMdCceRFC9ICyNLbmeeZ1TN07J8AxROjod7PlYv+QZgE8vGPQtmFkrm0v8S62GvvPBxAIOfQ0bXoP8HH1viRLITE3hSsRp1EbGNGnTXr9Rp+Prcc+j1RQs3o1MTHCo1wCPh/zpOmxMed+JEEKUiRTyQogqJ0+bx6kk/YzE8kRelIWZkRmPNHiETdGb2B6zXQp5UXKaPPjjVQj/Qf++4wQIngVqI0VjiSKoVPr5CozNYf8X+okIjUygbdHF9o24GM7s2UHMiWMkxUYD4NrEx1DIq9RqrBwcyEpLQ5OXi1ajnyxTk5dHUkwUFja2Bc739/rfcfP2pb5vM1Rq6eQqhKhcUsgLIaqcC7cukK3JxsbUhka2jZSOI6qp7p7d2RS9iW0x25jcejIqGdMs7icnHX4dDhe3g0oNj38GbUYpnUrci0oFwe/q/3vtmwd/vg6mVuD/lKHJ2bBdhG/9k/gL5wocWreBB/V8/NDpdIbfD6O+WIKRsf7PY01+HnnZOWRnpJMUcxkTM3PDsalJ19n743IArB2daP5IMIG9n8DCSnptCCEqhxTyQogq5063en8nf9QqecohyqZTvU6YG5lzNf0q526dw6+uLBMm7iH9Ovz4JMSHg7EFPLkcfHspnUqUhEoFj82AvEx9N/u1L4KJJTR7AoBLfx8k/sI51EZGeAW2w7djZzyat8TS1s5wCm1GBplHj2Ls5ISRn/53RV7kReJeehmVqQlGpmboTE2JsbbGzMeb3Ab18WvdgUtnT5B2I4mDv//EsY3raNN3AK1798PUwlKJ74QQohaRQl4IUeXIRHeiPFiaWPJw/YfZHrudbTHbpJAXxUuOgf/rD7cug2VdeOYXaNBG6VSiNFQqCJlDXkYqx/fsxe+nF7AebglNggno/QQujb1p/shj1LHTr4Ki0+nIPnuW9LB9ZOzfT+bx45CXh8OoUZj/U8gb1a1Lfnx8oUtlHjwIQOAzT9N9yQ9c+vsgh9b+yo3YaP765UeObfqDgVNn4ubtW3n3L4SodaSQF0JUOcevHwcgwDlA4SSiugtuGGwo5CcETJDu9aKw6+f0RXxaPNh5wPNroW5jpVOJUtLpdJzZu5N929LJuN2I1Fxzgn8eBiM30qBpKxo0bQ6ANjeXlHXrSF75EzkREQXOYdKgASYuzob3xk5OeP76C7rcXHS5uWhzctDcSibn/DmyI85hERCAiakZTTs9QkM7Rw68OI6L7i7kazQ4ujes1PsXQtQ+UsgLIaqUhIwEEjMTMVIZ0bxuc6XjiGrukQaPYKI2ITo1mku3L9HEvonSkURVcuUo/DgIspLBqSk8vwZs6imdSpTS7cQEtn37FbGnwgGwcXKmfn0V5FyElUNgzHb9hzT/SPpiPpqbN1GZmVGnUyfqPNwJq06dMPHwKPBhn0qlwqJFixJlyAgLw+36LVyu3yLTzIT4iRNxmjgJ8+bNOLd/D75BnVEbyYSJQojyI4W8EKJKudOt3tfBF0sTGWMoHoyVqRVB9YLYe2Uv22K3SSEv/hW9D1YOhdx0qN8anv0NLB2UTiVKQavVcHzTH+z7+f/Iz8nB2MSUoCefofXj/TDKz4RlveD6GfIXdsdo8kFUFvaoTU1xHD8eXV4etgP6Y2xvXy5Z6r7wAnU6dCD5119Rr11Hxt4wMvaGcf3h9hxJu8GxTevpPWEK9q7yQZEQonzILFJCiCrlTrd6WT9elJdgj2AAtsdsVziJqDIu74EfBuuL+EaPwLD1UsRXQ3/9spLdK74jPycH92YtGPbpl7TrNxgjYxO0aguSTYaQl22McV4CmsWP69eZBxyef466o0aWWxEP/zy9b9WKeh98QOONf2LzRF9Qqcg/fQZjrZaEixdY+dZkYk+fKLdrCiFqNynkhRBVyp0Z62V8vCgv3dy7YaQy4kLyBWJTY5WOI5R2aae+u3V+FjQJhmd+BjMrpVOJMmjTZwBOnl50H/cKT/7vA+zd6gOQFR5OVP8BJHz2DXG77dFqjDBOPQMbp4BOV+G5TBs2pP4nn+D1x3p8/FszqPeTuHn7kp2Rzu8fzuDEtk0VnkEIUfOpdLpK+I1WzaSmpmJra0tKSgo2NjZKxxGi1sjMy6TjTx3R6DRsG7wN1zquSkcSNcTYrWM5GH+QVwNfZXSL0UrHEUqJ3A6rngFNDniHwJAVYGJ+/+NElaDVaDh/cB9NO3YxjGXXabWo1PrnUtrsbJK+/JJby0NBq8XIyRHnV1/F9iErVKueAp0Wes8lu/kIEqNTSYxKJTkhg8yUXLLScgno0RC/jm4A3IrP4M+FJzAxM8LW2RLHBlbUrW+FYwMrrOual3jizDt/Zmvy8tj6zQIi9u0GIKBnX7oOGyPj5oUQBZSmDpUx8kKIKuPMzTNodBpcLF2kiBflqnvD7hyMP8j2mO1SyNdWF7bAz8+BJhd8H9evE29spnSqaiVPoyUxNZuElGySM/NIycrjdmYuGTka8rVacjVa8jU6jNUqzE2MMDcxwtLUCCdrM1xszHG1NcfZ2gwTo9J3CM1MTeGPeXO4EnGa3MwM/Lv3BjAU8QBXJ71K+p49ANj2ewKX6dMxsrPT73xsJlf//IXd31twWxNW5DVSb2YZvs7Nyif1RjYAN69mcPl4kmGflYMZ7ft60TTI7b657xT8xqam9BgxHt2WrZyrY0r45j/wbd+R+s1KNpmeEEL8lxTyQogqwzA+XtaPF+XsUY9HmX1wNqdvnuZa+jXqWcmEU7XKuY3wyzDQ5oFfXxi0DIxNlU5V5Wi1Oq7ezuJSUjqxtzK5ejuLa7ezuXY7i2u3s0hMzUb7gP04TY3UeLtY0czNhmb1bGjd0J6H6tmiVhf/hPvm1TjWfDyLlMQETC0ssLAu+ilV3bFjyI6IwPXdd7Hq1pVrkbdRJSVTz9seOk3CLiaSlDAXAGwdTXBp7ICTuzV1bM2wsDbBzqWO4VwO9eow6M3W5GTlkxyfwY24dG5cSSc5IYP0Wzmojf/Nm5udT25WPlb29+7dYVTHkg6Dn8Hy64XkGKnJ//AT8r9cUK5j9YUQtYd0rS+CdK0XQhkvbX+JsKthTGs3jWf9nlU6jqhhRmwewdHEo7zR5g2GNR+mdBxRWSL+gF9HgDYfmvWHQd+BkYnSqRSVkZNP1I0MLiWlcynpn/+9nk7UjQxy8rX3PNbUSI2rrTn2dUyxtTDBzsKEOmbGmBqpMDFSY2ykRqPVkpWnITtPS0ZOPtfTckhIySYxNZv8Ij4JcKhjSmdvRx7xcSK4mQs25v/+94k9fZL18z4gJyMDW2cXBkx9l7oN3AHQpGeQE3EWy7ZtDe3zMrK4dPI24dvjuHk1nfq+9vR/7Z85V3IziV8wBvvUvZjXawSjt4KJRam+d/m5GmLP3qKBrz2mFvrnYce2xHBo/WV8O7gS2KMhdi73XnElPSyMq6++hjYjAxMPD+p++jFWfn6YmEoPESFqu9LUoWUq5C9fvoyXl1eZA1Z1UsgLUfm0Oi2dV3UmNTeVVY+vormjrCEvytePET/y0eGPCHAOYEWvFUrHEZXh7Dr4dSToNPDQIBiwBIxqR2dErVbHtZQsLidlcDlJX6RfvpHBpevpXEvJLvY4UyM1no6WeNatQ317C+rbWVDP8DLHsY7ZPZ+e3y/TleQszsancjY+lTNXUzgUdYv0nHxDG3MTNb0fcmNwmwZYxx5n+7dfodVocPNpSv83/oeljS0AOZcucWXiJPKuXcPz51WoPbw4tfsKJ3ddITMlFwBjUzU+7V3p+rQvqjuZb8fCkq6QeRNaj4S+X5TpXu625bvTXDxyXf9GBU1aOxPUvzE2jsV/SJB94QJXXnyJ9MQEDno3wN7Hl4HvfYyJmczZIERtVuGFvFqt5pFHHmH06NEMHjwYc/Oa9UtHCnkhKt/l25fpt64f5kbm/PXMX5ioa/cTM1H+EjIS6P5bd1So2PHkDpwsnZSOJCrS+U36MfHafGg5FPotqpFFfGp2nqFYv5yUweUb+v+NvplBdl7xT9fr1jGlsZMVXk51aOxkRWNn/f/Wt7PAuAxj2MsqT6PlWEwyeyOT2Hw6gUtJGQA45N7imas/owK8O3Sm98uvYWyqHw6RHraPq5Mmoc3MxNjZmZyJn3L4UA5ZaXkA1LE1pUW3BjTvXB/zOkX8W3JxB/wwCNDBoKXQYvAD30f8pRSObY4m+tRNQP8hQts+jfB/zB2jYr6f+TdvcuKlFwnTpKMxUuPxUEsGTH3XcJ9CiNqnwgv58PBwli9fzk8//URubi5Dhw5l9OjRtGvXrsyhqxIp5IWofL9f+J13D7xLG5c2LO+5XOk4ooZ69s9nOXnjJG+3f5unmj6ldBxRUS7thJVD9RPbPTQYBi4BdfWcHTwlK48ryZlcTc7iSnIWV29n6b++rd+WnJlX7LEmRioa1q1DI8c6+oLdUV+wezlaYV+n6hWLOp2O8Ljb/HLkCn+cuEbDpBPY5KcR59WVlx/1ZlBgAzLXriZ+5rug0WDZti31P5/HpYt5bA+NwNbZgja9PfFu44KR8X0+jNg5G/Z+CqZWMG4PODYpl3u4cSWNsJ8juRZ5G4CHutTnkWd8i22vzczk7Cdz2BkVQV52Nr5BnXl84hsFJvETQtQeFV7I35Gfn8/69esJDQ1l8+bN+Pj4MGrUKJ5//nmcnKrvkw4p5IWofP/b/z/WXlzL2BZjmRg4Uek4ooZafno5847Oo71re74L+U7pOKIixPwF/zdQv0580z7wZGiVHROv0+m4lZH7b3H+T6F+JTlT/3VyFml3dTsvjpO1GV6OdfBysqKxk75o93K0ooF95T5df1A6rZbszAwsrKzJzM3nx4OxfLP3EjfSc0GnY0LsLnof30iWuQPGj/WhxZzXUZmaotPquPB3Ik3aOBf79LsQTT6s6Acx+8ClBYzZVurx8sXeh07HuQPxHFofRf/XAu47Zh4g5lQ4q+e8i1aTT+BjPek27pVyySKEqF4qrZC/Iycnh0WLFjF9+nRyc3MxNTVlyJAhfPzxx7i53X9pjqpGCnkhKl/fNX2JTo1m4WML6dKgi9JxRA0VlxZH79W9MVIZsWvILuzNZbboGuXKUX1xlpsGTYLhqZWKLjGn0+lIzswj5mYGccl3ivXMf4p1/fusPM19z+NQx5QG/4xXv/O/9e0taWCvf29tXjU/qCgNrUbDlq/nk3j5IkNmzjGMhc/K1bDycCwnl63khb9+5Er9R4hsMgBzGwuem9UBM8sHuPfUePj6Yci8UW7j5e+mydcW6Blw/lAC7n4OWNoU3RvizJ4dbF70OQCde/aj3cix5ZpHCFH1Vdo68keOHGHZsmWsWrWKOnXqMGXKFEaPHs2VK1eYNWsW/fr14/Dhww9yCSFELZCcnUx0ajQA/k7+yoYRNZq7tTt+Dn5E3IpgV9wuBnoPVDqSKC8Jp+CHgfoi3rMzDP2hUop4nU5HUloOFxLTibqZQdytTGJvZhJzK5O4W5kFJnIrjrO1GfXtLWhgb/lvsW5vQQM7/f9amta8sf1302o0bPxyLucPhKFSq0m4eAGvQP1M9BamRox+uBExruPZPqcJ2Sb6Hp+Xs3P44+hVBnf2LPuFbdxg0Lf6HhxHl4N3D2jauxzuSO/uIj72zE22h57F0saUkLEPUa+JXaH2zYI6E/f1Ys5oszm6YTUPdQ3GslGjcssjhKhZyvQvw7x581i+fDnnz5+nd+/erFixgt69e6P+ZzxPo0aNCA0NxdPTszyzCiFqqBNJJwDwsvXC1sxW4TSipgtuGEzErQi2xWyTQr6mSDoPK/pD9m1o0A6eXlVu3aTvdjM9h/OJaUQmpnMhMe2fVzopWcWPUwdwtTHH3UFfqP/7ZN2S+vYWuNmaY25SPcfvlwetVsPmxV9w/kAYaiNj+rw21VDEa7OzwdiYs/sT2PfbRTQmThiZqTnpoGJjZhY//nmGw4kpzHriISxMy/g9bPwoBL0MB76C9ROgQRuwci7HO9SzcjDH3sWS5IRM1s47Tuch3rTo2qBAG5WpKcFLQtGNeAa389HET5iA58qVGEnvUCFEEcpUyC9evJhRo0YxYsSIYrvOOzs7s3Tp0gcKJ4SoHcKvhwPQyrmVojlE7RDcMJgvj3/JwfiDpOamYmMqfyRXa7cu67vTZ94AN3949lcws3rg0+ZptETEp3IsJpljsbc5FpvMleSsItuqVeBZVz823cOhDh4OFjSsWwd3B33hXpsL9XvRabVsW/IVEWG7UBsZ0ee1qXi3DQL0a8RHj3+REw6PE5+rfwrv0dyBbs/5YWFriveOSBbsjOSXI1c4Hnubhc8G4uNiXbYgj82AS7vg+hl9Mf/0KlCVbYm94ji41WHwtDbs/uEckUeus3fVBTLTcmnXpxGqu65lbG1F8MIlRA8ZSu7FS1yZNAn3b75BLTPZCyH+o0xj5KOjo/Hw8DA8gb9Dp9MRFxeHh4dHuQVUgoyRF6Jyjdg8gqOJR3mv43sM8B6gdBxRC/Rf259LKZf44OEPeKLxE0rHEWWVeg2WhkBKLDg3gxF/gqVDmU6VkZPPoaibHLp8i+Oxtzl59Xah5dtUKnC3t8THxQofF2vDy8upjhTrpaTT6dixdBEntm1CpVLz+KQ38Q16GABNaiqxY8eSdeIkES3GcN0pgI6DvGnZrcG/68EDf128waSfw0lKy8HCxIgvnw4guJlL2QIlntGvL6/JhT6fQ5tR5XCXhel0Oo5sjObwH1GAflb7zk/5oFYX/OAgOyKC6Gef44qZmlt+Pgz+dgVqI/kZE6Kmq/DJ7oyMjIiPj8fZuWDXo5s3b+Ls7IxGc/+JW6oyKeSFqDx5mjyCfgoiR5PDuv7r8LL1UjqSqAUWhi/k6xNf06VBFxY+tlDpOKIsspJheW+4fhYcGsPITWBd8iJOp9MREZ/GznOJhEXe4FhsMnmagn8S2VqYEOBhR4C7PYEN7fB3t8OmBkwsVxVkptzmh7deI+3mDXq/PBm/zt0AyE9LI3r0OPJOhmNka4vL4m/JdfTEyaPop+030nN4dVU4+y7eQK2CWf0e4vkODcsW6q+vYOvbYGIJL4SV25J0RTm95wp7Vl0AHfQa3wKvVoVXe0rc+Ccrly9Eq1bTplNXHpk4pcLyCCGqhgqf7K642j89PR1zc/OynFIIUUudu3WOHE0Otma2NLKRSX1E5ejp2ZOvT3zNX9f+IiUnReZmqG7ysuCnp/VFvLUbDFtboiI+X6Pl4OVbbDubwPaI61y9XbCrvLuDBZ0aOxLY0J5AD3u8HOsUelIqyoelrR1Pvfsx1yLP0bSjfqWSnNtpbHz9J/I0bfG3i8Hj++WY+xa/BjuAo5UZy0e25Z01p/n5SBz/W3uaK8mZTA1pWvr/dh1egsgtELUX1r2k/3BIXTFPwR96pAFmdUy4cSW9yCIewKX34zx8+iR7j+7nyP7duHd+BK+AthWSRwhR/ZSqkJ88eTIAKpWKGTNmYGn577qYGo2GQ4cO0apVq3INKISo2cKTwgFo5dSqwDhBISpSY7vGeNt7E5kcyc7YnTKkozrR5MNvoyD2AJjZwnO/g13xQ/q0Wh2Ho2+x4eQ1Np1K4GZGrmGfuYmah5s40dXXic7ejjSsW6cy7qBWy7idTB07/bKPNk7O2Djpe3emXLvN+ne3kWrSBJWjBouXHr1vEX+HiZGajwa1oL69BfO2XeCbPZe5nprD3Cf9MSpNMa9WQ79FsCgI4g7B4W+hw/hS32NJebdxwbvNvx9A5edpUKlVGBn9O3S17ZvTSVm6mBNb/2Tjl3N5bs587FxcKyyTEKL6KFUhf/z4cUD/RP7UqVOY3jXxhqmpKf7+/kyZIt1+hBAlJxPdCaX09OxJZHIkm6M3SyFfXeh08OdrcH4jGJnBM6vApXmRTaNvZPD7sSv8fvQK11KyDdsd6pjSo5kL3Zu50KmJo4xtr0QXDu5j01fz6PnyZMN4eID4i7f588tj5KjrYpKXTvBANzwea1Wqc6tUKiY+5k09Owum/X6SNcevogI+LW0xb+cOPd6DDa/Bjlng0wMcKn7IV252Ppu+PoWljSnBI5oVmAug2/AxXI+6SHzkedZOe5XnFi3H2KL8V2UQQlQvpSrkd+3aBcDIkSOZP3++jB8XQjwQnU5nKORl/XhR2Xp69uTL419yKP4Qt7Jv4WBetknSRCXa9QEcWwEqNQxeBg07Ftidk69h06kEVh6K5XD0LcN2a3NjejZ3pa9/PYIa18XESP3fM4sKFnv6BBu/nIsmP5+4MycMhXzk34ls//4s2nxwsIfHerjg3K3s3ccHt25AHVMjXvnpOKuPX8VIreLjQS1L180+cAScXg3RYbB+Igxbr39aX4GSYtK4duE2Wq0OE3NjHnnax9BLzcjYhD4TphD6yhhuZqazc/oUenwhc3sIUduV6bfS8uXLpYgXQjyw+Ix4rmddx1hlzEOODykdR9QyHjYeNKvbDI1Ow/aY7UrHEfdz+FvY+6n+6z6fg18fw664W5l8tOkcQXN28urP4RyOvoVaBY/4OPHVMwH8/XYwnz7pTxcfJyniFXA9+jLr5s5Gk5+Pd7uOPDpK3139xI44ti49gzZfRyN/RwbPegTnbu0f+Hq9Wrgx/6lWqFXw69ErvL32FFptKeZ2VqvhiQX6Se+iw+BY6ANnup/6vvYEj2wGKjiz9yoH1lwqsN/GxY3Oj/YCnY6M8HDStsvvLCFquxI/kR84cCChoaHY2NgwcODAe7ZdvXr1AwcTQtR8d57GN3VoioWxdBMUla+nZ0/O3jzL5ujNDPEdonQcUZwza2DjG/qvu70NrUcAcDQmme/CLrPlTAJ36jQ3W3OebufBkDbuuNrKBLxKS7t5gzUfzyI3Kwv3Zi3oPWEK6n8mkDP9ewtqrQfNO9Tl4REtynViwT4t66HR6njt53B+OhyHtbkJb/X2K/kJHLz068tvngZbZ4B3D7BtUG75iuLd1oW8HA27fjjH8a2x2NQ156FH/r1mwIuvYBmfiPbkb1yb/hZezZtj4uZWoZmEEFVXiT+WtrW1NXTxsbW1vedLCCFK4vh1/bwbMj5eKCXEMwSAIwlHSMpMUjiNKNLlPbB6HKCDtmPQPjyFLWcSGLBoP4MW/8Wm0/oi/uEmjnzzfGvC3uzGxMe8pYivAnIyM1nz0buk37pJ3QYePDHlbYz/mV/p1sqVEPoZ7Q6/T0ubqApZHaBfq/p8Mlg/bGvJ3sv838GY0p2g3Thwbw+5abBparnnK0qzh+vRvp9+TP7enyOJO3erwH6f/83AvEULtGlpXHvrLXRabaXkEkJUPSUu5JcvX461tbXh63u9Smrv3r307duXevXqoVKpWLt27X2P2b17N4GBgZiZmdGkSRNCQ0MLtVm4cCGenp6Ym5vTvn17Dh8+XOJMQojKcyLpBAD+zjI+XiijnlU9/J380aFja8xWpeOI/4o/AaueBU0uOr9+bHR/jd5f7uOF/zvK8djbmBqpGdKmAVte7cIPY9oT0twVY+k6X2Wc3L6JpNhoLG3tGDB1JmDGhq9OEP3zFhLfnw2Ax+ih2A0eXGEZBrduwOvdfQCYue40u85dL/nBaiPo8wWojeHcBji/qWJC/kfrng3xae+CTqtj5/cRaPL/LdZVJibU+/hjMq3rsD0pjuNzP6mUTEKIqqdM/9plZWWRmZlpeB8TE8MXX3zB1q2l+yMoIyMDf39/Fi4s2YQdUVFRPP7443Tr1o3w8HBeffVVxowZw5YtWwxtfv75ZyZPnszMmTM5duwY/v7+hISEcP16KX5xCyEqXGZeJueTzwP6peeEUEpPz54AbI7arHASUcCty/DDYMhNI8mxPY9fGcZLK09wLiENKzNjXuramH3TuvHJYH98Xa2VTiuK0KbPADoMHMqAqTMxMrFjzWfHiDl9k11/3kSnA7unhuL4yssVnuOVR5swuHUDtDp4eeUxTl9NKfnBLs0g6BX91xvfgNyMigl5F5VKRbfnmtKkjTOPv+yPkXHBP9fNvBqRHPIYt+uYs//IPjKSbxVzJiFETabS6XSlmP1Dr0ePHgwcOJDx48dz+/ZtfH19MTU15caNG8ybN48XX3yx9EFUKtasWUP//v2LbTN16lT+/PNPTp8+bdj21FNPcfv2bTZv1v8B1r59e9q2bctXX30FgFarxd3dnQkTJjBt2rQSZUlNTcXW1paUlBSZ1E+ICnIo/hBjto7BrY4bWwfLk1ChnOuZ1wn+NRgdOrYN3oZrHVmjWXHp19Et7YEqOYpIdSMGZr5NGpZYmxszqlMjRnbyxM7S9P7nEVXC7cRM1s8PJ+1WNqZ5qbQK/xLXDn40WDAflVHlLP+Xm69lZOhh9l+8iYuNGX+88jDONiUcfpGbAQs7QEosdJwIPd6v2LAlkJ+bw4qXR5OcepumnR7h8YlvKB1JCFEOSlOHlumJ/LFjx+jcuTMAv/32G66ursTExLBixQoWLFhQllOWyIEDBwgODi6wLSQkhAMHDgCQm5vL0aNHC7RRq9UEBwcb2hQlJyeH1NTUAi8hRMUyjI+Xp/FCYc6WzrR2aQ3Alugt92ktKpouO4WUb/uhSo4iVuvEM5lvoLaw5fXuPuyf9iivdfeRIr4Ku3zsbzZ99Rl5uTkA3LyazurPjpF2K5s6pNH66Kc4etpT/9NPKq2IBzA1VrPo2dZ4O1uRmJrDKz8dJ19TwvHlpnXg8bn6rw8shMQzFRe0GAmXUzi29d8x/samZvSeNhOVSs25/Xu4dFSGkQpR25SpkM/MzDSMl9+6dSsDBw5ErVbToUMHYmJKOZFIKSQkJODi4lJgm4uLC6mpqWRlZXHjxg00Gk2RbRISEoo975w5cwpM1ufu7l4h+YUQ/wpPCgdkfLyoGu50r98UVTljYEXRDly4ysnP+mKbcpYbOhteMfofI3u2Z9/Ubkx4zBsbcxOlI4p7uHkllj8XfMLZsF0c27iepNg01s47TlZqLnXrWzHwrSBcHm1Pg0WLUFtaVno+WwsTvn6+NVZmxhyOusWnW86X/GCfEPDrCzoNbHgNKnGSuZSkLNbMPcaB1ZeIPnnDsN21sTet+/QHYOv8T0k9frzSMgkhlFemQr5JkyasXbuWuLg4tmzZQo8ePQC4fv16teyKPn36dFJSUgyvuLg4pSMJUaNpdVpOXj8JQIBzgMJphIDghsGoVWrO3DxDXKr8G1DZzl5LZcTSg9z8v1H4550gQ2fO1oCvWDntWV7q2gRrKeCrvKy0VNZ+8j65WVk08HuINn36c2RjNNkZeTg3tKb/5ABsPJypP28eJi7OiuVs7GTFJ4NbAvDN3stsPl38g55Cen4MplYQdwhO/lxBCQuzdbLgoUfqA7A99CypN7MM+zo++QzW5pZk5mSx/cN30Wk0lZZLCKGsMhXyM2bMYMqUKXh6etK+fXuCgoIA/dP5gICK+6Pc1dWVxMTEAtsSExOxsbHBwsICR0dHjIyMimzj6lr8mEczMzNsbGwKvIQQFefy7cuk5aVhYWyBj72P0nGEoK5FXdq5tgNgS4x0r68scbcymfxzOI9/uZdHoubRx+gg+Spj8gav4Jn+/bAyM1Y6oigBTX4+G774iNuJ8dg4udB38nSMjE14bIQf3s6pdGkYjXmdqvNhTO8Wbox+uBEAb/x6gqgbJZzAzrY+dJmi/3r7TMiuvKGYHQc1wbmhNTmZ+Wz97oxhJnsTM3OCx+onDLyZnUnS999XWiYhhLLKVMgPHjyY2NhYjhw5YphkDuCxxx7j888/L7dw/xUUFMSOHTsKbNu2bZvhgwRTU1Nat25doI1Wq2XHjh2GNkII5R1P0nf/a+HYAmO1/KEuqoZejXoBMnt9ZUjLzmPOpgge+2wPq49f5UX1ekYa6z9AMR74DXYtQhROKEpj94pviT19EhMzc3q88CaWNrYAZO/egfsv07n13gwyjx1TOGVB03o1pU1De9Jy8nn5x2Pk5JfwSXaHl8ChMaQnwt5PKzbkXYyM1YSMfQgzS2MSo1I5sPaSYZ/Xw4/QveOjdIy8wq2vFpJ39Wql5RJCKKfMi626uroSEBCAWv3vKdq1a0fTpk1LfI709HTCw8MJDw8H9MvLhYeHExsbC+i7vA8bNszQfvz48Vy+fJk333yTc+fOsWjRIn755Rdee+01Q5vJkyfz7bff8v333xMREcGLL75IRkYGI0eOLOutCiHKWfj1cABaObdSNIcQd3vM4zGMVcacTz7P5ZTLSsepkTRaHT8djqXb3N18s+cyuRotb7n9zZsm/3RT7vkxtKi4NcVF+TuxbRPhW/4EoMPg8Wz+LoG//4wi6+RJrk2dCoD9c89hGRioZMxCTIzULHw2EHtLE87Gp/LF9siSHWhsBj0/0n99cDHcKOFx5cDG0YJHh/kBcGJ7HFEnkgz7Wkx4lTptWqPLzCThvfcpw6JUQohqpkyFfEZGBv/73//o2LEjTZo0wcvLq8CrpI4cOUJAQIChO/7kyZMJCAhgxowZAMTHxxuKeoBGjRrx559/sm3bNvz9/fnss8/47rvvCAn595P7oUOHMnfuXGbMmEGrVq0IDw9n8+bNhSbAE0Io50TSCUBmrBdVi62ZLUH19L23tkRJ9/ry9tfFGzy+IIzpq09xIz0XL6c6rO+eytjb8/UNHp4MHcYrG1KUmr1bfcytrGnZ/UnCd5iQn6Ph6plEYl6agC4nB6tHHsFlesmW/61sLjbmzBnYAoCv91zi7+gSrsfu0wO8Q0CbB5unQSUWzV6tnPB/TD8p86Xj/xbyKrUat/feQ2tqQnjECa7+Wnlj+IUQyijTOvJPP/00e/bs4fnnn8fNzQ2VSlVg/6RJk8otoBJkHXkhKs7NrJt0/aUrAPue2oetma2ygYS4yx+X/uCtfW/hZevF2n5rC/37Jkov6kYGH26MYNtZ/fw1thYmvBrszfP14zH+YQDkZ0PAc/DEVyDf72opKjyarcujyc/RUt/bhua7PyA/8hxmTZvS8IcfMLKqo3TEe5ry6wl+O3qFBvYWbJrUuWSTK968BAvb64v5p1eBb6+KD/oPTZ6WS8ev493WpdDvqLUTX+BS4lVcsvN59tf1qExlqUYhqpPS1KFlGpy6adMm/vzzTzp16lSmgEKI2uvO0/jGto2liBdVTjf3bpiqTbmccpnI25EyGeMDSMnK46udkYT+FU2eRoeRWsXzHRoy6TFv7DMuwbKn9EW8T0/oM1+K+GokNyuT9ORbONRrQGJUKttDY/RFvI8d/heWkx15DmMnJ9y/Xlzli3iAmX2bcfDyTa4kZ/HeH2f59MkSLItatzEEvQz7v4Atb0Pjx8C4copmIxM1Pu2KnsS502tTiZo2kURzYy6fOk7j1u0rJZMQovKVqWu9vb09Dg4O5Z1FCFEL3Fk/XsbHi6rIytSKh+s/DMikd2WVr9Hyfwdj6DZ3N9+GRZGn0dHV14ktr3bm3SeaY5+XCP83ELJTwL09DF4ORjLpZXWh02rZtHAeP771GuFbw1i/IJzcbA31vO3o/VJLrFs1R2VhQYNFizC5x4pBVYm1uQnzhrRCpYJfj15h65kSLknXZQrUcYJbl+Do8ooNWYycrHx2rzxvWJLOqZEXrfvp55nYFbqEvNwcRXIJISpemQr5999/nxkzZpCZmVneeYQQNdyJ6/+Mj5dCXlRRd2av3xi1USaMKqW9F5J4fME+/rf2NLcycmnibEXoyLaEjmxHE2dryLwFPwyEtGvg1FTfJdnUUunYohQOrf2Vi38fRJOXR/ptyM3Kx62JLY+/3BJTc2Mcx4+n8ZbNWLR4SOmopdKukQPjuujneXpn7WlSs/Puf5CZNXR7S//17o8g63bFBSzG7h/OcWbvVXZ+H4FOq/991WHgUKzqOpJyPZEDK5bJ7zEhaqgyFfKfffYZW7ZswcXFhRYtWhAYGFjgJYQQRcnV5HL6xmlAJroTVdcj7o9gYWzB1fSrnLxxUuk41UJkYhojlh9m2LLDnE9Mw87ShPf6NWfTpM509XXWN8rNgJVD4MYFsKkPz/0OltK7rzqJCj/K/l9+AOCxMS/x8JDOhIx9iB796mKszTW0M3F2ViriA3kt2AfPupZcT8vh403nSnZQwDD9h1JZtyBsbsUGLEL7fl4Ymxlx9cJtTuyMA8DU3IJuw8YAcHTLBq6s+qnScwkhKl6Z+rL179+/nGMIIWqDiFsR5GpzsTezp6FNQ6XjCFEkC2MLHvN4jA2XN/Dn5T/xdyrBeNla6mZ6Dp9vv8BPh+PQaHWYGKkYFuTJhEebYGd513hhTR78OhKu/M3/s3eX0VFdXQCG3zsSd1eiBA3u7u5SKJSWttRb2kJboPLVBWrQlkIptEhxKe7uGpwAEZIQd7eR+/2YEkqRBEgyCZxnraxkZu6ZuweZzL7nnL0xs4On1oCtl9HiFu5fZlIim3/6FmSZep16ENy5BwC+/mqihr+Awtoa719nonZ3N3KkD85MreSrIcGM+v0Yi4/FMKixJ819S7nYpFRB989hyXA49hs0Hwf2vpUSL4CdiwVthwayb8kVjq2LxK+hM7bO5tRs2RYPeyfiM1I5sHQBIwcMRGFZ9esVCIJQdg+UyH/88cflHYcgCI+BG/3jG7o0FNXAhSqtr39fNkZuZFvUNt5t/i5qRRmqWD9GCjU65h+OYubucHKKtAD0rOfK5N518HP6T7Igy7B+PIRtA5U5jF4JLrWNELXwoDRFhaz//ksK83JRmriTmdqMgpxizMwVxL09AU1sLGpvbxTm5sYO9aG1CXBiRDNvlp+8zuTV59j8ZntMVcp7D6rZHfw7QeRe2PkpDK/c/fL12nsQfiqJuCuZ7Ftymf7jGyFJEt3e+5DtE8dTMzqB1Nm/4TJxQqXGJQhCxXqgpfUAmZmZzJ07lylTppCebui7GRISQlxcXLkFJwjCo0X0jxeqi1burXAwcyC9MJ2j8UeNHU6VIcsym84l0P3HfXyz5TI5RVrqediw9IVW/Dam2e1JPMDOT+DsEpCUMHw+eLeo7LCFh3Rq0zpSoq8hKSxQmfcDSYWkkEj+9lvyjx5FsrDAa+YvKO3sjB1quXi/Tx2crEyJSMnj1z0RpQ+QJOjxBSDBxTVw/USFx3jr6SU6jaqNUqXgemgGV44ZivU5+wcy4I13sCrSkD5/PsVRUZUalyAIFeuBEvlz584RFBTE1KlT+e6778jMzARgzZo1TJkypTzjEwThESHLMqeTTwOi0J1Q9akUKnr59gJg07VNRo6majgdk8Gw2Ud4bUkI19MLcLUx5bvhDdnwejtaBzjeedCRmYb2XAADfoZavSotXqH81O3QF3O7Zqgs+uLg4cqA8Y0o3LGJ9AULAfD45mvMgh6dVo22Fmo+GVAXgF/3hhORklv6ILdgaDTa8PPOjw0rUSqRnasFzfv5AnBqSzT6fwrfWXXujGX79sgaDbFTp1ZqTIIgVKwHSuQnTJjA2LFjCQsLw8zMrOT+Pn36sH///nILThCER0dcbhypBamoFCrqOdYzdjiCUKq+/n0B2B2zm3zN49ul5Xp6Pm8uO83gXw9zKjoDc7WSt7rVZM87nRjW1AuF4i7bZM6tgG3/VPTu9gk0Hl1pMQvlpyC3mI0zLyJLHbB3r8mANxsjRV0m8X+GbZZOr76CTY8eRo6y/PUNdqdzLWc0OpnPNlwqW+X3zlNAaQrRhyB8Z8UH+R+NutegaS8fhrzTpOT/pSRJ2L39JudquLA56RoZBw9UelyCIFSMB0rkT5w4wUsvvXTb/Z6eniQmlrH3piAIj5Ub/ePrOtTFTGV274MFoQoIdgrG29qbAm0Be67vMXY4lS45u5CP1l6gy/d7WXcmHkmCYU292PNOJ97qFoSFyT3K7ITvgrWvGH5u9Sq0fatSYhbKT256GvsXL2Td9BAyEvKwtDNl4FuNsbQzIfGTT5GLi7Hq0gWn1183dqgVQpIk/te/HiZKBfuuprAzNLn0QbZe0PJFw887PwW9vmKD/A+lUkGrQQGYW5vccr9FzSAyXZ0oUqs4tWtbpcYkCELFeaBE3tTUlOzs7Nvuv3r1Ks7Ozg8dlCAIj55/F7oThOpAkiT6+PUBDD3lHxeZ+cV8vSWUDt/uYdHRaDQ6mfY1ndjweju+G94QN9tSLsTFnYLlY0CvhfrDoMeXhj3EQrWh02pY/+PXnFi/gtSoTZhbqxn4ViNsnMyRJAmvmb9g068fHtOmIikeuNxSlefnZMnz7f0A+HzjJQo1utIHtZsApjaQdN6wX95IZFkm6nwqmmIdKrWajs++DMDFsEtkp5bhooQgCFXeA737DhgwgM8++wyNRgMYPuzExMQwadIkhg4dWq4BCoLwaLiRyItCd0J1cmN5/eG4w2QUZhg5moqVW6Tl511htJ+6h9/2RVKo0dOkhh1LX2jFoudbUt/TtvQnSQ2HxcNBk2eo4j1oFjzCid6jau/CuSRcvYyphSUDJzzLgDcbY+92s5Ch2t0dz+++RWllZcQoK8frnQNxtTElJj2fuQciSx9g4QBtxxt+3v05aIsrNsC72LvkCptmniNkazQAtTp3w6tufbSaYg4sWWCUmARBKF8P9Nv1+++/Jzc3F2dnZwoKCujYsSOBgYFYW1vz5ZdflneMgiBUc7nFuYRlhgGi0J1QvfjZ+lHXsS5aWcvWqK3GDqdC5BZpmbM/go7T9vD9jqvkFGmp427DH2ObsfqVNncvZPdfOYnw12DITwP3RjDiL1CZlDpMqFrO79nBmW2GAo+9X5+Id11/nLysyFy1iuwdO4wcXeWzNFXxfp86AMzcE0F8ZkHpg1q9CpYukBEFIcZJmmvUcQAgZHs0mcn5hsr2Y8YBcPnQPiLm/2GUuARBKD8PlMjb2tqyY8cONm3axE8//cTrr7/O5s2b2bdvH5aWd2g9IwjCY+186nn0sh5PK09cLFyMHY4g3Jf+/v0B2Bix0ciRlK+MvGJ+2HGVtt/s5qvNl0nLK8bX0YKfnmzMpjfa0aW2K1JZl8QXZMJfQyEzBhz8YfQqMLWu0PiF8pcQEcaOOTMBqN1uIAFNDa0C80+cIOGTT4l7Yzz5ISHGDNEoBjT0oIWvAwUaHV9tDi19gIkldHzP8PO+aVCcV7EB3oF/Y2e869ij18ocXBGGLMu4+gcSGGSoxn9o9VK0GY/2KiNBeNTddyKv1+v5448/6NevHy+99BKzZs3i4MGDxMfHl62ipyAIj52S/fHOYn+8UP309uuNUlJyLvUc17KuGTuch5aQVcBnGy7R5pvd/LQrjKwCDf7Olkwb1oAdEzoyoKHH3SvR30lxPiwdCUkXwMoVnloDVqJeTnWTn53Fqs8/Q9ZrUaj9qNdpEACa+Hhi33wLtFps+vTBvHFjo8ZpDJIk8fGAukgSbDyXwOmYMiTATZ4Be1/IS4bjcyo8xv+SJIn2I4JQKCWiL6QRdS4VgA6vvoUkQ6aJipjpP1Z6XIIglJ/7SuRlWWbAgAGMGzeOuLg4goODqVevHtHR0YwdO5bBgwdXVJyCIFRjNyrWi2X1QnXkaO5IO892AGyI2GDkaB5cZEouk1ado8O0Pfxx6BoFGh31PW2YNboJO97uyBPNvFEr7/P6vk4DK8dCzBEwtTUk8Q5+FRK/UHFkWWbvosMUF+QiKWzp+coEfIOd0RcUEPv6G+jS0zGtUwf3L78o+yqNR0w9D1uGNvEC4KvNoaVPXqlMoONkw8+HZkDh7UWiK5q9myWNunkDcGBFGNpiHfbuHvQcOJxOoTEUrVlLcWxspcclCEL5uK/f2PPnz2f//v3s2rWL06dPs3TpUpYtW8bZs2fZuXMnu3fvZuHChRUVqyAI1ZBWry2ZkW/i0sS4wQjCA+oX0A+AjZEb0cuV21LqYWh1erZfTGTMvGN0+X4fy09eR6OTaeXvwMLnWrDh9Xb0DnZHeT8z8Dfo9bDuNQjbBipzGLUc3OqX/4sQKtyJjde4dt4UE5snaffk29Rt64csyyR89D8KL11CaW+P9y8/ozA3N3aoRjWxRxBmagUnojLYfimp9AENngDHmlCQAcdmV3yAd9C0ty9W9qbkpBUSss1Q+K7e6Gewa9USNBpSf/7FKHEJgvDw7iuRX7p0Ke+//z6dO3e+7bEuXbowefJkFi9eXG7BCYJQ/YVlhJGvzcdKbUWgXaCxwxGEB9LJqxPWamsS8hI4lXTK2OGUKiWniF92h9Fh2h5eXHSKA2GpSBJ0q+PK6lfasOzF1nQIcn7w2VVZhm1T4NxyUKjgiYXg07p8X4RQKU5vj+LEpigAOo5qTYsBzQBI/+NPsjduBJUKzxnTUXt6GjHKqsHd1pzn2xlWnEzdchmNrpSLegoldPpnVv7wL4aEvpKZmKloO6wmts7muPrf7Dzh/PbbyEDYnh3kXbpU6XEJgvDw7iuRP3fuHL169brr47179+bs2bMPHZQgCI+OkGRDYaSGLg1RKpRGjkYQHoyZyowevj0AWB+x3sjR3JksyxyLTOONpadp880uvtt+lfisQhwsTXi5YwD73+3M3Gea0dTH/uFPtv+7mzOMg2ZBUI+Hf06h0qXFxnBw6SfoNbG0HOhPg87eJY9pU1IAcJ0yGcsWLYwVYpXzUscAHCxNiEzNY9mJ66UPqDcEXOpCURYcmVnxAd5BQBNnnvxfS3zq3exAYR4czPkWDTjp587x774xSlyCIDyc+0rk09PTcXV1vevjrq6uZIgKmIIg/Mvp5NOAWFYvVH8DAgYAsD1qOwXaMrSgqiTRaXlM33mVTt/tZcSco2w4G49GJ9Okhh0/jmjI4cldmNy7Nt4OFuVzwhNzYc8Xhp97TTUsHxaqnaL8fNZ9/xXF+anYOl2gSc8atzzuOnkSPov/wn7UKCNFWDXZmKl5s2tNAGbsvEpukfbeAxQK6DTF8PPRWZCXVsER3k6SJJTqmx/5b+zvD+jZG4BQXQGawsJKj0sQhIdzX4m8TqdDpVLd9XGlUolWW8obmiAIjw1ZljmdZEjkG7s8fpWOhUdLY5fGeFp5kq/NZ3fMbqPGkphVyB8HrzHk10N0/HYv03eGEZ2Wj4WJkpHNvdn4RjvWvNqWwY29MFOX40qYC6th0zuGnztOglYvl99zC5UmOTqLLTN/ICM+FisHR4ZOmYJCoUCfn49cXFxynEXTpo9tcbt7GdWyBn5OlqTmFvP7/sjSB9TpD24NoDgXDk2v8PjuRqfTc3bXdTb+fBZZL9N4xFPYurhSUFjA6W2PVntNQXgc3D0rvwNZlhk7diympqZ3fLyoqKhcghIE4dEQlxtHckEyKoWK+k6iCJZQvUmSxICAAcw6O4sNERvo69+3Us8fmZLLrtBktl1M5GT0zdVvkgTtAp0Y0sSTnvXcsDC5r1/tZRe+E9a8BMjQfNzNWUahWom9nM6aqXPQ5B9FqVIxYML7WNrZI+v1xL37HvqsLDx/moHKwcHYoVZZaqWCd3rU4rUlIcw7eI2xbXyxtzS5+wBJgs4fwNIRhhUtbd8ES6fKC/gfRXlajm2IRFOo4+rxRGq1cqf1sFFs/fVHTqxfTcPufTC1KKeVO4IgVLj7+m3/zDPPlHrM008//cDBCILwaLmxrL6uY13MVY93tWPh0dDfvz+zzs7iSMIRkvOTcbFwqbBz5RVpORGVzqHwVHaFJhOZmnfL48187OkT7E6fYHfcbM0qLA4Arp+A5WNAr4H6Q6H3t4bkRKhWEiOzWDd9PZr8gwB0HvsS7jVrAZDy88/k7tqFZGKCJi5OJPKl6F3fjbruNlxKyGb2/gim9K5z7wFBPcG9ESScMeyV7/ZxZYR5CwsbE5r28uHo2kiOrI3Ev7ELddp34vjaFaTHx7Hn1Rfo+edfYhWGIFQT95XI//nnnxUVhyAIj6Abhe7E/njhUeFt400TlyaEJIewPmI944LHldtzF2p0hERncCQyjcMRaZy9nolWf7NXtVop0dLPkW51XOhZ3w1320q6OJYcCouHgSYfArrCoNmGfb9CtZIam8P66fsozNwAQP3OPWjY3bBHOnvrVtJmGYoXun/+GebBwUaLs7pQKCQm9gji+QUnWXA4iufb+uFic48LapIEHd6F5aPh+O/QdjyYl0PhyfvUsKs3Fw/Ek5NWyOkdMbTo50erPoPYPHcmV3LTabplC859+lR6XIIg3L8KWn8nCIKA2B8vPJIGBQ4iJDmEdeHreL7+8w80eyXLMvFZhZyPzeR8XBYh0ZmcismgWHtrOysve3Na+zvSqZYLHYKcsDZTl9fLKJuMaFg0GAozwas5jFgEqnssIRaqpMykfNbPOENxkQkWdjWxti+i6/OvAFAYGkr8lPcBcHj2WWwHDjRmqNVKl9ouNK5hx+mYTH7dG8EnA+rde0CtPuBSD5IvwrHfbramq0QqtZLWgwPYPvcip7dHU7etB7W79uTIkgVo0tKJnTsHp969xay8IFQDknyjdKVQIjs7G1tbW7KysrCxsTF2OIJQLWUWZtJ+eXsA9o3Yh4OZWKYpPBryNfl0WtGJAm0BC3svLPVClV4vE5dZwKWEbM7HZnE+zvCVnld827GuNqa09nekTYATrQMcy6/S/IPISYI/e0N6BDjXgWc3g4X4f1zdZKcV8Pd3IeRmFOHkbcXAtxohSVpMLSzQpqVxbfhwtPEJWLZrh/dvs5GUok3o/TgUnsrouccwUSrY824nPO1KWSlzYTWseg7M7OCt82BW+Z8zZVnm7+9CSIjIok4bd7o8XYfMa5EkDh2OnJ+P1y8/Y92tW6XHJQjC/eWhYkZeEIQKcSblDAB+tn4iiRceKRZqC3r69mRt+Fr+Dvu7JJEv1OiITMkjIiWXiJRcwpNziUjJIzIll6L/zLQDqBQSQa7WNPCyJdjLllb+jvg7WVaNmbD8dFg0yJDE29aAMWtEEl9NZSbmk5t+HTs3HwaMb4SZpQlgWFWR8MGHaOMTMPHxwfP770QS/wDaBjrR2t+RI5Fp/LwrjG+GNrj3gLqDwPFrSAszFL5rP6FS4vw3SZJoMzSQ1dNOceVYIi0H+mPn50/xmDGk/fYbKT//glWXLkhiC40gVGkikRcEoUKI/fHCo0SWZbILtSRlFxKXUYB5YStgLevDt3DmTEfiM2RSc+/euUWtlAhwtjIk7Z62BHvZUdvNunxbw5WXwizDcvrkS2DlBs+sAxsPY0clPCBJiqcoewnmfi1QmzW75TGXd99Bm5qKx7SpKG1tjRRh9fdOzyCGzjrCylOxvNIpAB9Hy7sfrFBCh3fg75fgyC/Q8iUwucfxFcTN35bWgwPwqe+Ipa2hG5Xjs2NJXfwXoemJmK39G48hQys9LkEQyk4k8oIgVAixP16oDnR6mfS8YpJzCknJKSI5p8jwPbuQ5H9uJ+cUkpxd9J9ZdRnLAEcwSeNS9kG0uYYEydZcTaCLFQHOlgQ4WxHgbEWgixVe9uaolNVgdqs4DxY/YaisbeEIT68DB39jRyXcp+JCLYW5GiQpj43TpyLr9ZhamKJU3fqxzzQgAN+VK6rGKpBqrKmPAx2DnNl3NYVf90QwdVgps/L1h8HeryEjCk7Nh9avVUaYt2nS0+eW20o7Oy61aEh0WhLFf/3JoMFDxL8NQajCRCIvCEK5K9QWciHtAiBm5IXKp9HpSc8rJiWniNTcIlJziw3fc4pIyzP8bHismPS8IvT3USnG2kyFl70Fnnbm5Jp142LhcuoGXearVm/haWeOnYW6+n7w1RTCslFw/SiY2cKYteBS29hRCfdJW6xj08xzZCZlo2Qt+VmZOPv40eOlN5Akibzjx0EvY9mqJUD1/fdaxYzvWpN9V1NYHRLL610C713fQqmCdhNgw3g49BM0ex7UFdxCshTZqQVYO5rR7Jnnif7hK6LNVORlpGPl4GjUuARBuDuRyAuCUO4upl1Eq9fiZO6El7WXscMRHhH5xVoSsgpJzCokPrOA5H8n6iU/F5GRr7mv55UkcLQ0wdnaDGdrU1z+/WVj9s/PhsfMTW4uhU/M86Ln6pVcy72AtXUm9pbVeGmyTgMrx0LkXlBbwujV4F7KrKJQ5ei0erbOuUB8WCa6op1o8sMxs7RiwMQPUJuaURwbR9z4N9Hl5OD9229YtWtr7JAfGU197Glf04kDYanM2hfBV4NLaeHX8EnYNw2yY+H0ImjxQuUEegeHVoVxdncsPV+oh3+L1njUqkv8lUuc2LCGzs8YLy5BEO5NJPKCIJS708k3l9WL2R6hLDQ6PbEZBcRlFBCfVUBiViEJWQW3JO7ZhdoyP59CAgdLU5ysTHC2NsXJyvCz4bspTtb/PGZlioOlyQMte3ezdKO1R2sOxR1iXfg6xjcZf9/PUSXodbDmRbi6BVRmMGo5eDc3dlTCfdLr9Oz44yLRF9KQtRfQ5J8DSaLP+Hexc3VDl5tL7CuvoMvMxKxePSyaNTV2yI+c8V1rciAslZUnr/N650A87lXBXmUC7d6Cze/AwenQ5BmjtXZUmSiR9TJH10bi18CJ1kNHsvqr/3Fuxxaa9x8iZuUFoYoSibwgCOUuJEkUuhNup9HpiUrN41pqHtFp+USl5RGTbvgen1mIrgxr3C1NlLjbmeNua4arjVlJgn4jWXf8J1m3tzBBqaj4i0iDAwdzKO4Qa8PX8mqjV1EpqtmvVb0e1o+Hi2tAoYYnFoFfe2NHJdwnvV5m5/xQIkJSkBSFaIv2A9BuxBj8GjVF1mqJe3sCRWFhqJyd8Zr5Cwoz4y7lfhQ193UoqWA/e18Enw2sf+8BjcfA/m8Ns/Jnl0LTZyon0P+G0b0GF/bHkZmUz6VDCdRr3xg3v0ASr4Wz++Xn6b9sjahgLwhVUDX7xCEIQlWnl/WcST4DQGNXUejucaTTy8Sk53M1KYeriTlcScrhalIO11Lz0OjunqybqRV42VvgbmuGh605brZmuNualSTubrZm2JipK/GVlK6LdxcczBxIKUhhf+x+utToYuyQyk6WYcu7cOYvkBQwbB4E9TB2VMJ9kvUyexaFEnYiCYVCotdLzTEx8+PS/l20GDgMgKSvvibvwAEkc3O8Zs1C7eZm5KgfXeO71uRIZBrLjl/n1U6BuNne44KJ2gzajIftH8DBH6DRaMP++UpmYq6iWR9fDq4I4+TmKGq3dqNlv8Gs+/lbIuRiUrZsxqVvv0qPSxCEexOJvCAI5So8M5wcTQ7mKnNq2dcydjhCBZNlmevpBZyJzeRMTCZnYzO5GJ9Foeb2vukAVqYq/Jws8XG0+OfLEh8HC3ydLHGxNq12WzHUSjUDAwby58U/WR22uvok8rIMW94z9LFGgkGzoO5AY0clPABNkY60uDwkhUT35+vh19AZcMazVh0A0hf9RcaSJSBJeH47DfP69Ywb8COulb8DLXwdOB6Vzux9EXwyoJQ/72bPGpL4jCi4sAoajqyUOP+rfntPzuyIITejiIv742nQpQOOf/yGKi6e5AULcO7Tt9q9PwvCo04k8oIglKsbbecaOjesfsuMhVIVanSERGdwIiqDM9czOBubRXpe8W3HmaoU1HS1IsjVmiBXa2q5WhPkZo2Hrdkj92FwSM0h/HnxTw7GHSQhNwF3K3djh3RvsgxbJ8PxOYAEA2caLXkQHp6JuYoBbzZk17w/sXH0AVxKHpNlmcLLoQC4vDMR627djBTl40OSJMZ3rclT846x7EQMb3QJxNHK9O4DTCyh9euw61M48D0EDzf0mq9kSrWCZn182bv4Cqe2RlG3nQcjv/qeqF59kKOTyDt8GKu2ojiiIFQl4lO2IAjlKiRZ7I8vC1mvR6fToVSpqnRiq9fLXErI5mB4KofCUzl+Lf0//dRBrZSo625DI287Gv7z5etoWSl71KsCX1tfWri14Hjicf4O/5tXG71q7JDuTpZh2wdwbLbh9oCfofFo48Yk3DdZlkmMzMY9wNAp4dK+LVw+tIHIkF2M+3ku5tY2gCGpdP/iC6y7d8eqY0djhvxYaRvoSEMvW87GZvHnoSje6VnK6rTm4+DQDEi9CqEboN6gSonzv2q3cSdkWzSFuRpSr+fgHuiO/YgnSF+wkLRZs0UiLwhVjEjkBUEoVyUV6x/T/fGyXk9GYgLJ18JJuhZB8rVwslNTKMjJoVabntRs0Z/8nGIyE5M5suJDJEmBqYUFdu4eOHrWQK+3xc7NC5/gejj7uGBiVvlv06m5RewKTWJ/WCqHw1Nva+fmYm1K6wBHGv+TtNf1sMFUVfkzSFXJsKBhHE88zpqwNbzY4MWquRpFlmH7h3B0puF2/xnQZIxxYxIeyPEN1zi5OYq2wwKxc05l78J5ALQe9iTm1jbosrJQWFkhKZVIkoR1p07GDfgxI0kSr3QK4OW/Qlh4JIqXOvpjfa/6HmY20PIl2DcVDk03bHMxwgVepVJBzxfqY+NkjpmlIV6H554jbuUKLiZEYb1/Hw4dxAUhQagqquAnDUEQqquE3AQS8hJQSkoaOD1+PaiToyJZ+dn7FObl3vHxi/vDuXryHAB6XToAsqynMC+XxPCrJIZfLTn22Lo6mFj2xsLWBFdfG1z9rPCu44SLj02FxB6XWcCW8wlsv5jEieh05H/VpLM0UdLK35F2NZ1oF+hEoItVlV5FYAxda3TFztSOpPwkDsUdoqN3FfuwK8uw82M48ovhdr8foelYo4YkPJiTm6M4uTkKgIKcZA4u+RZZ1lOvYzea9h2EvqCAmOfHoXJxwfPbaSgsLY0b8GOqR103ApwtiUjJY8mxGF7qGHDvAS1ehEM/QfxpiDoAfh0qJ9D/+O/vGLWrK2eDa5JemM/Reb/RRyTyglBliEReEIRyc2M2vrZDbSzUFkaOpmLJskz0udMU5uZQu21HZFlGr7NFU6RBUqhw9ffH1S8QF78Ajm/MoCBXiZm1HbZO1phbm2Bu7YKJ6dfYOKnwrGVORnwsqddjuLj/AvnZCagt/JFlyM8qJuLUJUL3rcLWtSED3h6Ni68/ANpiHSqTB58Jz8wvZvP5RNaejuN4VPotjwV72tKltgvtazrR0NsO9QP0WX+cmChNGBAwgIWXFrLq6qqqlcjLMuz6zLB0F6DPd9DsOePGJDyQ09tjOLY+EoDmfT24sHs6RXl5uAfVptsLr4EsEz9pMoUXLqC0tUWbno6JSOSNQqGQeLljAO+uOsfcg9d4po0vZup7vF9bOkHjp+DE74a+8kZK5G+QZZnroem4+NjQcsQYtiz4jQg0FObmYmZlZdTYBEEwEIm8IAjl5sb++MYuj+6yem1xMaEH93Jq01rSYmOwc/dEo/Hn/N44MhLzUVo8ibm5AyM+6Yjqnw9tLv5ZWNqaYmV/96rszjV8CWoFbYYbbsuyTHGhjvS4XI6v+5vw44VkJR5j0aRjuPgGULttF07tsMCrtgu1W7nj18gJZRmSbb1e5khkGkuOx7DjYhLFOsN+d0ky9EDuXd+NHvXc8LQzL58/sMfI0KChLLy0kP1x+0nMS8TNsgq0+JJl2P2FoSo2QO9vocULxo1JeCCnt8dweE04AC36+RBzfiEZ8bFYOToxcOIHqNRqkr//gZzt20GtxmvmL5h4exs56sfbwEae/LDjKglZhawOiWV0S597D2j9GpycBxG7IPE8uAVXTqB3sG/JFS4eiKdpLx9aDujLid1bSb0eTciWdbQZLupqCEJVIBJ5QRDKzY0Z+Sauj16hO21xMSFb1nNy498UZGcBoFCZkp/tyr6ll5EkJSq1ghqNauHfyOmWsW5+tvd9PkmSMDVX4R5oR/+3nyb6XAMu7NlBxMmjJEdFkBwVAZI5EdlNiTrXGEs7S+q286BeOw+s7G/vW5yZX8yyE9dZdjyGqLT8kvtru1kzqLEnAxp64CGS94fib+tPU9emnEo6xZqwNcYveifLsON/cPgnw+1eU6Hli8aNSXggIduiOfJ3BADN+/rSsKsb0Wf1qExMGfTOh1ja2ZO+eDFpv/8OgMcXn2PRrJkxQxYAE5WCF9r789nGS/y2L5IRzbxR3euCq4Mf1B0EF9cYVtAMnVtpsf5XjXqOXDwQz9k9sTTo4k2roU+ycfo3hGxeT6NufbCwtzdabIIgGEiy/O+dkAJAdnY2tra2ZGVlYWNTMftRBeFRk12cTbul7ZCR2fPEHpzMnUofVE1EnTvNjjk/k52SDIC1kzP2Hq1JivZCUphh62xOcGcv6rR2x8S8Yq+PFuRkE3pwLyGb15GVnIRSbY6128sU5hpm+iWFREATZ1oPCsDGyZyo1Dz+PHSNFSdjKdDoAEMv90GNPRjZvAb1Pe//IoNwd1uubeG9/e/hbO7MtmHbUCvuUeCqIun1/7SY+81wu9dUaPWycWIRHtqprVEcXRtJ835+tOjnB4BepyMl+hqu/oFkb91K3NsTQJZxeuN1nF97zcgRCzfkF2tp+81uMvI1zBjZiIGNPO89IP4MzOkIkhLGnwb7UmbxK4gsy6z65iTJ0Tk07OZN2yEB/Dn+BTJSkqhv7UjPuQuMEpcgPOruJw8VM/KCIJSLs8lnkZGpYV3jkUriAZQqFdkpyVjaOdB+1DPUadeJ4gI9uxeFUredBz71HJEqqdWaubUNTXoPoFGPvlw+vB9NYSH1O3cm8kwK5/fGEnsphIhTelzauvL7tktsuZBYUriutps1z7b1pX9DDyxMxNt/RehWoxuOZo6kFKSwK2YXvXx7VX4Qej1sfAtCFgCSobBds2crPw6h3DTt5Yt7gB22zjKyLCNJEgqlElf/QHS5uSR+/AnIMnYjR+D0ahVuf/gYsjBR8UwbX6bvDGPugWsMaOhx72KhHo3AvxNE7oUjM6HPtEqK9FaSJNFygD8bfj7LhX1xNOpag+adurN95V9cyUimzaVLWNeta5TYBEEwENWLBEEoFyVt5x6B/fFajYaEsCsltzXFblg5D8Ql8FXqduiCQqnEzEpNn1ca4BvsVGlJ/L8plErqtu9Mw+69UaoU1GzmSqMuejR568gpWMxrs9ey+bwhiR9hY8u8oY3Y8mZ7RjSvIZL4CqRWqhkWNAyAZZeXVX4AOi2sfcWQxEsKGDRLJPHV1OWjCRQXaktuW9oWsfC9N9g5dyY67c2WkEorK7x/n4Pd8GG4ffSR6ChRBY1p5YOpSsH5uCyOXUsvfUDbtwzfQxZCXlqFxnYv3nUdcA+0RafRc2prFPWGDMdBZUKNtGzS5s83WlyCIBiIRF4QhHJxo9Bddd8fn3Qtgr8mv8nKLz4k6dp1ts+9wJbZ59FqA8jN1FOQoyn9ScpA1uvJO3qM7B07yPx7Lel/LSb1tzmkzZtH+uLFZG/bfuvxpeyCis3I5/ddFylUmKAqSGZo4jrGag6xZEAQNWKKubrgKkfXRlBcoL3n8wgPb3jQcJSSklNJp7iacbX0AeVFp4HVz8O5ZYZluUPnQqMnK+/8Qrk5uTmKXfND2fDTWXRaQ4vKNd98Qn5WJglhV9Bptbe8J5g3aID7558jKR+8i4VQcRytTBna1AuAuQciSx/g3wncGoC2AE4Yb5/8jVl5gEsH48nNKGbEpE+olZhOwabNFMfGGi02QRDE0npBEMpBsa6YC6kXgOo7I6/X6zj29wqOrl6GXqfDxMKGtT8cQKtxQ5KgcQ8fmvfzLalEX1ayVkthaCj5x48j6/U4vfBPxXBJIvaNN9Dn5NxxnGmtWtj07FFyO2rYcHQZGZj4+mBWPxjzhg0wCw6mwMaemXvC+fNQFMVaZ8y8RvGE4iK20Sexjj3H6T8+wc69F5kpnoRsiyH0cAKtBgZQp427UVYSPA5cLV3pUqMLO6J3sPzycj5q/VHFn1RbBCufhSubQKGG4fOhTr+KP69Q7k5susbxDdcA8G3gCOhY//1XpMddx8rBkcGTP0aRX0D08y/gOnky5sH1jRuwUCbPt/NjybEYdoYmE5GSS4DzPVq4SRK0ewtWPWeoc9HmDTAxTktXzyB7vGrbk5tRRH52MW4NGmDZti15hw6R9vtc3D/9xChxCYIgEnlBEMrBxbSLFOmKcDBzwNfG19jh3LeCnGw2/fQt0ecM2wNsXYMpLGyLVmOBg4clXZ+pg4tP2QtfalNTyd6yldyDByg4eQp9Xh4AJv7+JYm8JElYtm2LNikJhaUlCisrFBYWoNejLyhA7e5e8nyyLFMcHY0+NxdNfDx5h4+UPJZqYY/sXp/i4IG09nfkg751qO85jMTwq2ydNZ202BgSc5YT0KwbebmtyEzKZ89fl7l8JIFOo2vj4CF6TFeEkbVGsiN6BxsiN/BW07ewNrGuuJNpCmD5UxC+E1RmMOIvqNm94s4nVJh/J/GtBvnTpKcPW3/9kesXz6E2M2fwpI+xNLMgeuyzFJ47R8L77+O3bi2SQiywrOoCnK3oVseFnaHJzDt4ja8Gl9Jars5AsPOBzGg4s9iobSO7P1cPM0sVin8q7ju+/BLRZ0M4c2wfg2NjMfPyMlpsgvA4qxLv/DNnzsTX1xczMzNatmzJ8ePH73psp06dkCTptq++ffuWHDN27NjbHu/VywgFhwThMXEy8SQATV2bVrv9mclRkfw15W2iz51GZWpK9xffwtx+AAqlBc36+PLE+83vK4mPnzSJsA4dSfryS/L27Uefl4fCxgarLl2wHznilmO9pv+I79Il1Jj7O17Tf8Tjqy/x+OZrvGZMx3XypFuO9d+0CZ8li3H79FOkvgNIcvJCh4RTfgZ+uhzmPdOMJS+0pL6nLVmbNuHk4MRT38yg1ZARKJRKGnZrx8iPWtB2WCBqUyUJEVmsm3EanUZfLn+Owq2auzUnwDaAAm0B6yPWV9yJCjJh0WBDEq+2gFErRBJfDcmyzLH1kSVJfOvBATTt5cuRVUu5tH83kkJB/7cn4+zpTexbb1F47hxKOzs8Z8wQSXw1Mq69YZn66lOxpOUW3ftgpcowEw+GFpI6422LsrAxKUniAUwbNeJcgCfxtpacnvmT0eIShMed0Wfkly9fzoQJE5g9ezYtW7Zk+vTp9OzZkytXruDi4nLb8WvWrKG4uLjkdlpaGg0bNmT48OG3HNerVy/+/PPPktumpqYV9yIE4TF3MulmIl/dXDqwh+yUJGxd3Rj4zoc41/DFq04eBTnFeNYqvU+uJikJlYtLyQUMhY0t6PWYNWiATa9eWLZuhWlQ0EPtXZUkCbWrC7KjE7NTLZllZoWmXQfsJA1Tamjo2yIAmzquABRFXiN+4jugUmHVrh31+/ej3rRfsPPyBqBRtxrYueRzYV8eAU09UKpFElARJEliRO0RfHXsK5ZdXsao2qPK/yJXTiL8NRSSLoCpLYxaDj6ty/ccQqU4uTmKk5ujAGg9JIAmPXzISIjj6BpDwcRuz7+Kb8MmJEyeQt7+A0jm5nj/NhtTfz8jRi3cr5Z+DgR72nI+LotFR6N5q1vQvQc0Gg17v4bMGLi0FoKHVUqcd6PV6Ag9lIBXbXsadezG0X07CC3IoqVeh0Ih6jMIQmUz+ie4H374gRdeeIFnn32WunXrMnv2bCwsLPjjjz/ueLyDgwNubm4lXzt27MDCwuK2RN7U1PSW4+ztS/9ALgjC/dPqtSUV65u5NjNyNPev3Yin8azTjQbdJ+JcwxcABw/LUpP4gosXiZv4DuFdulJw8mTJ/Y7PjiVg21b8VizH8blnMatTp1wKUF1OzGbQzEP8tDscjU6ma20XNrzbgxGvDMem6c0Cg7qsTMzq1QOtlty9e4mf+A5JQ4eTNO1biq9fJys5iY0/fkxWwmLc/G8+f9T5VI6tj0SnEzP05WVAwAAs1ZZEZUdxOP5w+T55WgTM62FI4q1c4dnNIomvxvwbO2NurabDyCCa9DD0Dbd392TQux/Retgogrv2JPmbb8hatw6USrxmTMe8YUMjRy3cL0mSeKGD4Y130ZFoCjW6ew8wsYAWLxl+PjQdSil6WtH2LbnC/mVXObk5iubPvoCppSUZCXGEHz9S+mBBEMqdURP54uJiTp06Rbdu3UruUygUdOvWjSNHyvamMG/ePEaOHIml5a37PPfu3YuLiwu1atXilVdeIS3t7u07ioqKyM7OvuVLEISyCU0LpUBbgI2JDTXtaxo7nFLpdTpOb9uIXqdDq9Gxa+EV0hIbcGpLItlpBaWOL46JIfatt4kaOozsTZtApyPvyNGSx9UeHpj4+JRbvDq9zOx9EQz4+RCXErKxt1Azc1QT5j7TDG+H24sfWTRujN/qVfhv3oTjKy+j9vBAn5VF+h9/ENGjJ0l7doEEiRFX+Wvym0ScOk5xoZbdiy5zcnMUq6eeIiMxr9zif5xZqi0ZHDgYgEWXFpXfEyechT96GfbO2vvBc9vATRQ8q84cPawY/WkrgjvdutfYv0lz2gwfRdbq1aQvWAiA+5dfYNWhgzHCFMpBn/pueNqZk5ZXzN+n40of0OIFw7aZxPMQuafiA7yHG/8+w04kkZ8NjXv1B+DY3yvQF5WyVUAQhHJn1EQ+NTUVnU6Hq6vrLfe7urqSmJhY6vjjx49z4cIFxo0bd8v9vXr1YuHChezatYupU6eyb98+evfujU535yufX3/9Nba2tiVf3t7eD/6iBOExc2NZfRPXJigkoy/yuSdNUSHrvvuC3X/MZttvM1k/4wzhJ5NRKCW6PF0bG0fzu47VZWWR9M1UIvr2I2frVpAkbPr1w+/vNTiPf6NC4k3OLuSpucf4ZstlinV6utVxYdvbHejbwL3UZdqm/v64vPkmATu24/Xrr1i2a4fSwYHAQUN5eurPuAfVprggn7Xffk7IplW0Gx6AqYWKlJgcln95ggv7YktteSeUblSdUUhIHIo/RERmxMM/4bUDML8f5CWDWzA8vx0cxPLq6kan0bN93kVir2SU3GdqoSYvM4PVX/2PzKRbPwPZ9O2LZfv2uP7vI+wGDarkaIXypFIqeLatL2BoRafXl/I+a+EATZ42/HxoRsUGVwoXHxt8gx2RZTi1JYrGvfqjUqlIjork4i9ir7wgVLaq/am7FPPmzSM4OJgWLVrccv/IkSMZMGAAwcHBDBo0iI0bN3LixAn27t17x+eZMmUKWVlZJV/Xr1+vhOgF4dFwKukUUPWX1Rfk5rDyiw+JDDmBUq0mPtyOhPAsTMxV9H+jIbVaud91rKzTEfXkKNLnzweNBsu2bfFb+zee332LWZ06FRLvofBU+vx0kCORaViaKJk2rAG/P90MF2uz+3oeSanEuktnasz9nYCtW1CYmmLj7MITH36BX5EeZJlDK/4idN88hrzbAO869ug0evYtvcq23y9QlK+pkNf3uPC29qZLjS5AOczKh2407IkvygafdjB2E1jdXktGqNo0xTo2zTpH2Ikktv1+geJCQxEzTVEha6d9RtTZELb88v0tF9IU/+yJdxg1ylhhC+VoRHNvrE1VRKTksfdqcukDWr0KkgIi90LihQqP716a9TVcOLxyPAlNkZqgGgEAnDq4G1kjfl8IQmUyaiLv5OSEUqkkKSnplvuTkpJwc3O759i8vDyWLVvG888/X+p5/P39cXJyIjw8/I6Pm5qaYmNjc8uXIAil0+l1hCSFAFU7kc/PzmLFp1NIuHoZE3NLLBxGUJjvhZW9KUPebYJXbYd7jpeUSpzHv4FpzZp4//47NebNxaxWrQqJVa+X+XHHVZ6ad4zU3CJqu1mz/o12PNHM+6GLpSmtb7ZA012PpV58GsHXk1HoZcJPHOXs/Bn0e60BbYcFolBKRISksOKrExTmig9nD2NM3TEAbIzcSEZhRilH38WpBbBiDOiKoHY/eGo1mNmWY5RCZSgu0LLhpzNcv5SOylRJj3H1MDFTodNq2fDD1yRGhGFmbUOvV98ic+VKkqdPL0noRXX6R4e1mZqRLQyrP3/ff630AfY+UHeg4ecjMyswstK5+tpQo54jsl7m1JZo2rwxAetiLZ6JaWRt2WLU2AThcWPU3womJiY0bdqUXbt2ldyn1+vZtWsXrVvfu2jPypUrKSoq4qmnnir1PLGxsaSlpeHufvcZN0EQ7l9YZhg5mhws1ZbUcqiYxPZh5WdnsfLzD0iNicLS3oFGvd9GU+yCo6clwyY1w9HD6rYxsl5P+pIlZG/bXnKfdc+e+K39G6v27Sos1twiLS8uOsmMXWHIMjzZwpu1r7UlwPn2GB+WaWAggbt30fS5F2mTlI1rZi7OC5cR9cRwAk2iGPxOE2yczPCoaYeZlbrcz/84aeLShLqOdSnSFbHiyor7G6zXw85PYMN4kPXQeAwMXwDq+1uZIRhfYZ6GddNPG1YCmSkZML4R3rUdkPV6tv76I9fOnEJlYsqgdz6Eg4dJ/N/HpM3+jdw9xt0XLVSMsW39UCokjkSmcSEuq/QBrV83fD+/0tCxwoia9/UF4MrRRCQTBwb3GIhXRg7pc+eJLVmCUImMfnl3woQJ/P777yxYsIDQ0FBeeeUV8vLyePbZZwF4+umnmTJlym3j5s2bx6BBg3B0dLzl/tzcXN59912OHj1KVFQUu3btYuDAgQQGBtKzZ89KeU2C8Li40T++sUtjVAqjd7O8jazX8/fUTw1JvJ09T/zvK9o90ZIOI4MY9HYTLO1ub0upTUvj+rgXSPrscxI/+QRthmEGVZKkcqk+fzcxafkM+fUQO0OTMVEp+H54Q74e0gAzdcWdU2llheO4cTTbvIWe/YejtrCk6FIoMS++RO6ZHTzxfnM6jLx5gaaoQIumuJQqy8JtJEkqmZVfenkpxbriUkb8Q1MAq56Fgz8abnecBAN+NvSXFqqV3IxC/v4+hOToHMws1Qya0AT3AFtkWWb3/DlcPrQPhVJJ/wmTsTh/kcSP/geA/dNjsOrc2cjRCxXB086cvsGGCaa5ByJLH+DVDLxbgV4Dx+dUcHT35uZvi3ddB2rUd0Svk3EYNQqFhQVFV6+St3+/UWMThMeJ0RP5ESNG8N133/G///2PRo0acebMGbZu3VpSAC8mJoaEhIRbxly5coWDBw/ecVm9Uqnk3LlzDBgwgKCgIJ5//nmaNm3KgQMHRC95QShnVb1/vKRQ0Gb4aKwcnBk8+QscPLyQJIngTl53nGXOP3mSa4OHkHf4MJKZGU6vvorStuKXLx+JSGPgzINcTcrFxdqUlS+1ZmhTr9IHlhOllRXOr79GwM4dODz7LJEtGrJu2XzObPsblYkCWaNB1svsmHeRNd+eIju19Or+wq16+vTExdyFtMI0tlwrw/LT3BRDUbtLa0GhhkGzofP7UN696IVKcWbXddLj87CwNWHQxMY41zBsczmzbSNntm0EoNerb2MfHnVLEu86ZcpDb6kRqq4X2hta0W08l0BCVhneV1u/Zvh+8g8oNm53kb6vNKDvqw2wc7VAaWuL9fDhRDvasGe2KHonCJVFksUamNtkZ2dja2tLVlaW2C8vCHchyzIdlncgsyiTRb0X0cilkbFDuqPk6GzW/nASF187+r7WELXJ7TPcsl5P2rx5pEyfATodJgEBeE3/EdOaFd9Ob/3ZeCauOINGJ9PQy5Y5TzfD1cZ4y6ZlWWbvwrmEbF4HQP12nfD9ezOmQ8awOyqQglwNppYqeo6rj3ede9cWEG419/xcZoTMoKZ9TVb3X333BC35MiwZDpkxYGYHIxeDb8Vt6RAqnk6n5+CKMBp3r4GN083uGPnZWaz5+hPqduiCX26hSOIfQyPnHOFoZDovdfBnSp9SiqfqdfBzE8iIgj7fGVrTVRHxISdZOvUTkGVGvzkFt7biPUsQHsT95KFGn5EXBKF6isiMILMoE3OVOfUc6xk7nBLa4mK2zPyBjIQ40hPy2PDTWTRFhu3F8h3a/OiLi4l9/Q1Svv8BdDpsBvTHb8XySkni5x6IZPzS02h0Mn2D3Vn+UmujJvFgWAbe+ZkX6PLcy0iSggsH93LcRCZ35re0uDoTR0cFRXmGgl2nd8SI/ZD3YXjQcCxUFoRlhHEg7sCdD4rYA/N6GJJ4ez8Yt1Mk8dVUcnR2SWsxpVJBxydr3ZLEA1jY2PLk59OoXyeYxI8/AcB+jEjiHyc3ZuWXHI8hr0h774MVSkMFe4CjvxpqaBhZbkYh+5dfxcavPl4uHiBJnLt42thhCcJjQSTygiA8kBvL6hs4N0CtrBrF0PR6HZt//o5L+3ez6ov/sW56CIV5Glx8rOn7agNMzG7fWyyp1Sgd7JFMTHD7/DM8pk5FYWlZwXHKfLnpEl9sCgXg2ba+/Pxk4wrdD3+/GvfsR/+JU1Cq1STbWnKiljf6iPPU//sNaqhikWU4vDqcHfMuoikS++bLwtbUluFBwwGYd37e7QeELITFw6AoC2q0hnG7wKniLygJ5e/K0QRWTz3FweVXb7vYde30Sc7t2lpyW6lSY+Lri9unn+Dw7LO4vi+S+MdJ51ou+DhakFOo5e/TcaUPaDTa0LEiPRKuGr9K/K4FoZzfE0vI9hjavfYWABf37iInPdW4gQnCY0Ak8oIgPJCq1j9elmV2zZtF2PHDKFQqFGbdyM/SYO9uSb83GmJifucCYZIk4f7xx/iuXIH98OEV/gFap5d5b/U5fj9gaDk0pXdt/tevLgpF1fvgXrN5a4a9/zmmFpakm6o51aweCllHwM6vqRW9FkmSCTuZzPZ5F40darXxdL2nUSvUhCSHcDr5n1krnQa2TIL1b4BeC8HD4el1YOl47ycTqqTTO2LYOT8UvV6mqEB7y0qguMuXWP/D1+yY8wvhJ46iy8kpecx++HBcJ70nkvjHjEIh8UxrXwDmH44qfZWTqRU0NRSENnYrOoCmvXwAuHQgHju3ADxr10Ov03Jy7SojRyYIjz6RyAuCcN9kWeZE4gmg6iTyR1Yt4dzOrSBJ2LkPpDDPFRsnMwaMb4S5lcktx+bs2kXsW28jaw3LGCW1usL6wv+bVqfn7eVnWHUqFqVC4vvhDXmpY0CV/uDuVbc+Iz6dipWjE21efgO/Fcsxr18fz2s7aG9zGmtHM1r08zN2mNWGi4ULAwIGAP/MyuckwYIBcGy24YCOk2HI76ASxVmrG1kvc2h1OIdXhwPQsJs33cbWRaE0fNRKib7G39M+RVtchG+jplhs30nUyCfRpqcbM2yhChjWzAtLEyXhybkcCk8rfUDLl0ChguhDEBdS8QHeg2cte9wDbNFp9ZzeHkOLAUMBOLtlA9kR4UaNTRAedSKRFwThvkVmRZJWmIap0pQGzg2MHQ7n92znyKqlALQc9Cw6fQAWNiYMeLMRVva3JkSZq1YR+8Z4crZuJXPlykqLsVir542lp1l/Nh6VQuKXJxtXamX6h+Fcw5fnfpxNrdbtMQ8Oxnf5Mlw//pg6k59n9GetcK5hjTYlBV1ODtlpoqJ9acbWG4uExL7YfVyd2xFiDoOpDYxcCp2niMr01ZBOq2fXwlDO7IgBoPWQANoNq4n0z0qb9PhYVn35EUV5eXgE1aZZah5ZixZTHBFB3pEjxgxdqAJszNQMb+YNwPzD18owwAPqGxJmY8/KS5JEs3/6yl84EIdLQAPsJCU6hcTRn34wamyC8KgTibwgCPfteOJxABq5NMJEaVLK0RUr9tIFdv5u+CDTauhI2o0cwtD3mtJ/fCNsnS1uOTZ9wQISPvwI9Hrshg/DbvjwSomxSKvj1cUhbLmQiIlSweynmtL7n/7B1YXa9GYRvpyMdLacP0ZaZjpKpQJZlon/4ANChr3Ekv8d4fCa8DsWFhQMfG186G4TCMCfJsXgXBte2A21+xg5MuFBbZ1zgStHE5EUEl3H1qFJD5+SxzIS41n52fvkZ2Xi7O1D8/gM8jdtApUKj6nfYNu3rxEjF6qKp1sb/s3supxMdFoZWsvdaEV38W/IvF6BkZXOu44Drn426DR6zu68TvOe/XDJysPmeAi6zEyjxiYIjzKRyAuCcN9uLKtv4dbCyJGAg6cXbgFBBLZoR5vhowGwd7PEycuq5BhZlkn5ZSZJX39jGPP8c7h99hmS6s775suTVqfnzaVn2BmahKlKwe/PNKNbXdcKP29FOrBkPokRYaz87H3ir4aiS09HEx1Dus4BnQ5Ob49h8y8hogjenWgKYN1rPBe6H4AtVpbEjlwoitpVc3XbumNirqLvqw2o3ermRbrCvFxWfvYBuRnpOHp40iImBc2hw0jm5nj/OhPbgQONGLVQlfg7W9GpljOyDAsOR5c+wL0h+LYHWQfHf6v4AO9BkiSa9zVssbqwP46AIU/T1swO24wsMpYuNWpsgvAoE4m8IAj3RS/rS2bkq0Iib2FrR4Meb5B0vTmxVzJue1yWZZKnTiP1l18AcH7rTVzeeadS9qXr9DLvrDzL1ouJmKgUzHumOR2DnCv8vBWt27jX8Kxdl6L8PFZ98REJiXH4rVtL495+1L28EEmvIepSFqs+2k1uRqGxw606MmPgj15wZjH1NDpam3uiA+ZdXWbsyIQHoNPcbP3l19CZMV+0xqf+rQUKzSytaNC1J/YurjS/ch353HmUtrb4/PkHVh06VHbIQhU3to0vACtPXie3tFZ0AG3eMHw/tQAKsysusDKoUc8BzyA76nf0QqlU4DhuHADpi/5CXyh+DwhCRRCJvCAI9yUsI4ysoixD/3gn4/SP12m1RIYYVgXEXclg/7IINIUSsZdvT+SLIyNLZgRc338fp5dfrpQkXpZlPlx7nrVnDHvifx3VhHY1nSr8vJXB1MKCoVM+w6dBYzRFhaz5+hOiQy/gMnEirX55l5YZ61AX55CerWT55J0kXog1dsjGd2k9zG4HCWfA3AGeWsNLHb8EYG3YWuJz440bn3Bfwk8ls/jjo2Sn3qwJYWZ55zacrYaO5Mn3v8BUo0Xl7o7PksWYN2pUSZEK1UmHms74O1mSU6RlTUgZ3jcDu4NjTSjKhtN/VXyA9yBJEgPfbkzboYGYWamx6dUTbQ0vzptJnJj+nVFjE4RHlUjkBUG4Lzdm45u4NEGtME7/+D0LfufvqZ+yZ8FCts65gF4nE9jMhVYD/G871jQgAO/ffsP9yy9xeHpMpcQnyzJfbApl6fHrKCSYPrJRtV9O/19qMzMGvfsRAc1aotUUs/bbLwg7dhjz+vVosmQGPRqlYZGfSKFkwbo54aTF5Ro7ZOPQFMDGCbBiDBRmgWdTeGkfBHSmqWtTWrq3RCtrmXNujrEjFcpAlmVCtkWz7fcL5KQXcnbX7XuTs1NT2PLL9xQX3kzyzd3d8Z7zG77LlmIaEFCZIQvViEIh8cw/s/LzD0ehL63WiEJxc6/80VmgK8MsfgX690VySaUiq31ropztCDl1BJ3WuLEJwqNIJPKCINyXG4l8c7fmRjn/hb07Obt9E0gSURclCvM0ONewpuvTdUoqRANoM27Ozlu2aond0CGVFuPvByKZd9BQeXjq0Ab0a+BRaeeuTCoTE/q/PYVarduj12k5snopep0OSa3Gd/xzDJ3cHA9vNV61HbB3t0TW6SiOiTF22JUn6RL83hVOzjPcbvsmPLcN7GqUHPJqw1cBWBe+jrjcOGNEKZSRTqdn7+IrHPk7AoDgTl60HRZ4yzHZKcms+HQylw7sYdOkt8lcvbrkMVM/P9Suj9YFPaH8DW3qhbWpisiUPA6Ep5Y+oOFIsHCErBi4vKHiAyyD+LBMtsw+T4MXxmOqUpOvkLh69KCxwxKER45I5AVBKDOdXsepxFOAcfbHJ0WGs3OuoUK9s29X8rM9MbdW0/vlYFQmypLjUmfNIrL/AIrCK7+H7drTcXy1+TIAH/atU9JS6FGlVKnoM/4dWg4ewZApn6JQ3vx7sKlbkwGT29JjXD0UCon0RYsI7z+I5Fm/IWs0Roy6gul1cOgnmNMRki+CpTM8tRq6fwbKW1exNHFtQiv3VmhlLb+f+91IAQulKSrQsumXs1w6GA8StHuiJh1GBpX0iAfISk5i+adTyEpOwkplgs/uQyR8/AlF18rQTkwQ/mFlqrrZiu5QGf7tqM2huWE/urFb0QHIepl9S68QeSaFK6dyaDZ0JADH165E1utLGS0Iwv0QibwgCGV2OeMyOZocLNWW1HGsU6nnzs/OYt33X6LTaHDxa0B2RjAKpUSvl4KxdrjZGi19wQJSZvyELjWVvKPHKjXGg2GpvLvqLADPt/NjXPvbl/o/ihQKJe1GjsHK3qHkvrQ4w5JjpVKB2kSJLMvknzpNqN9wdu7VcfWJMRRcuGiskCtORjQs6A87PgJdMQT1gpcPQWC3uw55tdHNWfnYHFFPoKrJSS9k9dSTXA/NQGWioM/LwTTscusFuszEBJZ/OpnslCQsZYnm565irpdxnTQJUz8/I0UuVFdPt/ZBkmDPlRQiU8qwLan5OFCaQuwJiKnc33v/JSkkmvY2tNI7u/s69Tr2xMTcnNTr0YQfO2zU2AThUSMSeUEQyuxEgqHAXFPXpqgUFd+67Qa9TsemGdPISU3B3t2DoVOmULedBx1GBuERaFdyXNaGjSUt5pzfHI/DU6MrLcZL8dm8/NcpNDqZfg3c+aBPOV3o0BRAWgRcPwFXt8HZZXB6MZxdDhdWQ+gGiD4C6ZFQnF8+53xIF/ftYsHE1zi1aW3JfZIkYfXhV6R6tiDDvjaHrQZw6ZnXSPr2W/QFBXd/supCr4fjv8OsNhB9CEysoP9P8OQysL73curGLo1p7d7aMCt/XszKVzXmVmpUJkos7UwZPLEJfg1v7TyRFhvDsk8mkZOagqVWR8tL17CysKLG3N9xGPOUkaIWqjNfJ0u61HIBYOGRMrSis3KBBk8Yfj7ySwVGVjaBTV2xc7WgKE9L2Mks6rdoC8DBGd8hy6Xs+xcEocwq75O4IAjVnrHazkWfO03MhbOoTc0YMPEDLGyt6fxU7VsK6+QeOkT8++8DYP/0GBxffrnS4kvOKeT5BSfILdLSyt+B759oiELxAJXxtcVw/ShEH4aki5B8yZCgy/exHNHcHpxrG75c6oBbA/BoDGqz0seWk4yEOGRZz96Fc9FptbQYOAwAe1dLhk5pyaafT5OLG6caTaBo1e/k7NiJ57Sp1beSd8pVWP+G4e8OoEZrGDQLHMo+E/tqo1c5knCEdeHreK7+c/jY+FRQsEJZyLIMsmF2UWWipM8rwUgKCUtb01uP0+vZ8OM35GWkY11YTPOIeGz9A/Ca+Qsm3o/2thqhYo1t68uuy8msPHmdiT2CsDYrpbhs69fg9CK4vBHSr93X+095UygkmvbyYdeCUM7sjGHA2F6c2bOddIWWiPVrCRw42GixCcKjRCTygiCUiVavJSQ5BKj8Qnd+jZvRZ/wk4i5n4OBpKBT27yS+4MJF4t4YDxoNNn364Dp5cqW0mAMo1Oh4YeEpErIK8Xe25LcxzTBVKUsfeEN+OlxcA2E74dp+0OTdfoza0lDMyMLe0LpMqQa9FnQaw/Lt3GTITQJNPhRkQMwRw9cNCjV4NALvluDXAXzbgYnlQ7/2u2k7YgySQsnR1Us5sGQ+eq2WVv/sk3TysmLY+y3Y/Os5kqPhTKPx1A5bhpe5RYXFU2E0hXBoBhz4zvD3YGIF3T6BZs8bqknfh0YujWjv2Z4DcQf4KeQnvu/0fcXELJRKU6xjz8JQbF0taNnfsD3Gyv7OF8IkhYK+499l59TPqbvvGI5du+Hx9VcoLCvu/5fweGgX6ESgixXhybmsOhXLs21LScxd6hi28ITvhGOzoffUygn0Lmq2cOXEpmtkpxYSm2BBLXtXCsPCkLdtB5HIC0K5kGSxxuU22dnZ2NrakpWVhY2NjbHDEYQq4VzKOUZvHo21iTUHRhxAqbiPZLUc7Fl8mUsH4qnZzIUe4+rf8ljMCy+Sd+AAFq1b4f3bbyhMTColJlmWGb/sDBvOxmNrrmbda23xdSrDB3i9HqL2Q8hCw9J4XfHNxyxdwL8TuDcE17rgUhesXKG0CxOybOglnBkDyZchJdRQNT3uFOQl33qs0gRqtDJ86KvdDxwrph3W0dXLOLTC0Nu41dCRtBk+uuQCi6ZYx675l4gISQGg5QB/mvXxBaAoLAyTwMBKuxjzQK5sha2TICPKcDuwO/T7EewefBb2SvoVhm8YjozMkj5LCHYOLp9YhTLLTitgy+zzpF7PRaGUGP1ZK2wczW87rjA3F1MLC6R/LtjIej0527dj3aNHyX2C8LAWHY3mo7UX8HW0YPfETqWv9IrYDYsGGy7+TrhoWKFlRJcOxrPnr8tY2JrwxHNuxAzsD4D/5k2Y+j8eNWQE4X7dTx4qZuQFQSiTG8vqm7k2q5QkXqfVsu+veTQfMJS4qxouHTBUi67T5vZWbp4//kjKjBk4vzm+0pJ4gJ93h7PhbDwqhcSsp5qUnsTrdXB+Jez/FtL+VVHfrQHUG2xIrF3r3/dsLmBI9M1swS3Y8HWDLBuSzevHDEv2I/cYkv1r+w1fO/4HLvWg7gCoO9CwJL+cEuhWQ0eiUKk4sGQ+R1cvQ6/V0u7JZ5AkCbWJkp7j6nN84zVCtkbj5m/4ZVV46RLXhj+BVedOuH30P9SuLuUSS7lJi4Bt78PVrYbb1u7Q4wuoP/Sh/9xqOdSif0B/1kes54dTP/BHzz+q9sWMR0x8WAZbfrtAYa4Gc2s1vV6sf8ck/vKhfWyfNYPWxQqazl+I4p+E3qZXLyNELTzKhjT2ZNrWy0Sl5bPvagqda5fyfujf2fB+nnwRTi2Adm9VSpx3U6uVG1ePJxLUwg2zQDesunYld9cu0ubNw+PLL40amyA8CkQiLwhCmRyNN+z/be3RulLOd3DZQk5v2UDEyRPoGAVAi35+eNc1VEaXZbkkyVFaWeL2wfuVEtcN2y4m8sOOqwB8Pqg+bQKc7n6wXgcX1sC+b24m8KY2EDwcmjxtWPZeUSTJsFfSwc/Qb1iWDTGE7zIko1EHDB/6ki/C3q/BsaYhqa8zwLAq4CETyRYDh6FUqdm78PfbihxJComWA/yp3doNW2fD0vqCCxeQJQW5O3cRefQYLu++i93wYcaf5cxNhn1T4dR8w7YGhRpavwod3gNTq3I7zeuNXmfrta2cTDrJgbgDdPDqUG7PLdyZLMtc2BfHwRVh6PUyTt5W9HmlwS3dMG44uXYl+5YuAOBaehZ+ixfj9MILlR2y8JiwNFUxsrk3vx+4xp+Ho0pP5CXJsFd+3atw7Ddo9SqoKu/i9n8pVQoGTWhSctvphXHEHD3EidNH6RFyCrcmTY0WmyA8CsTS+jsQS+sF4VYF2gLaLm2LRq9h/aD1+NlWbBGdiFPHWDvtcwDsPIdTmO9NjboO9Hu9IZJCQpZlEj78EFM/Pxyef77SZy3Dk3MZNPMQuUVaxrbx5ZMB9e5+cOwp2PgWJJ4z3Da3hzbjocWL5ZoAPrD8dLiyBULXG5Zl/nuZv72vYaa5/lDDEv+H+HOOvXwRz1p1S/27Sk/IY8vPp6gXuQzTM3sAsGjeHPfPP8PE1/eBz//ACrPg6Cw4/DMU/9MGqmZPwyy8c1CFnPL7k98z/+J8Au0CWdV/VaVvY3nc7PnrsqE/PFCzuSudx9RGbXLrn7ksy+z96TtCDu8DwCc1iw4Dn8D5tVeRlOLvR6g419Pz6fDtHmQZdk7oSKBLKb83tEUwPdhQN2XI7zer2VcRy0cOJlbW4OfkxpCZc40djiBUOfeTh4qNXIIglOp08mk0eg2uFq742vhW6LmyU1PYOvNHAJx921GY742lnSndnquL9M/+wLQ5v5O1eg3JP/xI0dWwCo3nv3IKNby06CS5RVpa+jnwQd+7tJkrzIJN78DcroYk3tQWunwIb56D9hOqRhIPYOEAjUfDqOXwbgQMnWeYjVdbGJbkH/je0FLt11awbxqkhpf6lHfiVbteSRKvLS4mZMt6ZP3t1fiP/B1BZrqWY85PUPTiJ0jm5uSfOEHkgIGkL/rrYV7p/clPh91fwo/BhpUKxbng0QTGboLRKyosiQcYFzwOaxNrwjPD2RC5ocLOIxi4B9giKSTaDA2k+3N1b0vitQUFrH/rlZIkvnaeht7TpuMy/g2RxAsVztvBgm51DC0sFxyOKn2AyhRa/LNK5MgvhlVYRqbT6bl0MJ5100/TYtQzAESlJZOZlGjkyAShehOJvCAIpTqaYFhW38q9VYXOfuv1OrbM/J7CvFycfQLIy2uOJEGP5+tibmVYHpi9dRspPxoSfdcP3sesVsUlVP8lyzLvrDxLREoebjZm/DKqCWrlHd5Gw3bALy3gxO+ADA1GwBunoMO7YFaFV/mY2UDwMBixCN4Nh2F/GorhKU0h5TLs+RJ+aQq/dTBUa8+Mue9TyLLMhh+/Zs/8OWz77Sf0et0tj3d/ti416jmi1eg5dNWZ7MnzsWjTBrm4GB6kpd/9yrwO2z8yzGjtnwZFWYa6AcPnwwu7DRX/K5itqS3jgscB8HPIz+Rr8iv8nI+bgtybK09qt3Zn1Mctady9xm3vb5qiQlaMf5HwxFiQZZrbu9Fr6Sosm4olwULlebaNLwCrQ2LJKtCUPqDZ86Ayh4SzEHWwYoMrA71O5ui6CGIvZ1Dk3BK/Rk2RZT0n1q0ydmiCUK2JRF4QhFLd2B/fyqNVhZ7n+NpVxF66gNrMnP4TJvHElJZ0HFULj5qGyruFly8TP3kyAPZPPYXD6NEVGs9/zdoXwbaLSZgoFcwe0xRn61t7SqMthm0fwOJhkJsIDgEwZi0MmQNWzpUa60MzsYT6Q2DkYng3DAbNNlRmV6gMHw53/M+Q7M7tDkdnQ3ZCmZ5WkiRqt+2IJCm4uHcnW3+djl53M5k3MVfR99VgGnT2AuDEnlTCOkzEbfpP2I8cWXJcwfkLaJKSb3v+ByLLEHUIlo+BGQ3g8E+GGXjXYBi+AF45YihGWIlbOEbXGY2XlRfJBcnMOTen0s77qNMW69i9KJTlX5ygIOdmMm/neuf2hyq1CZb+AShlme6detFh9lyU1taVFa4gANA6wJEgVyvyi3WsPHm99AEWDtDIUFuGIzMrNrgyUJsoadTN0Dr21NZomg8cDsDFfTvJFrPygvDARCIvCMI9ZRRmcDn9MmCYka8oOq2GK0cOAND1uZexd/PA0dOKeu09AdBmZBD72uvIhYVYtm2L6+RJFRbLnRyJSOO7bVcA+GxgPRp52916QPo1+LOXYSkjQIuX4JXDENC5UuOsEGa20OhJeGoVTLwK/aaDb3tAgtjjhjZsP9SGud3g4I+Qeu/tDnXadaLvm+8hKRSEHtjD5l++R6fVljyuUCpoPyKIDiODkBQSV44msueCA0WFhqX4+sJC4t5+m8g+fUibPx9ZU4YZqjvJioMDP8DMljC/j6FOgKwHvw7w5DJ4+QDUG/RgXQQekqnSlPeavwfAwksLic6OrvQYHjWZSfmsmnqK0EMJ5GUVcf1y+h2PKwwNJXXWLMDQJ77PxCmM+mYGDV59ozLDFYQSkiQxto2hNs3CI9Ho9GVYLt/qVcP3q1seeEtUearf0RNTSxWZSfkU5Dnh5uqBTqvl8PRvjR2aIFRbIpEXBOGejiceR0Ym0C4QJ/N7VGZ/SEqVmlFffEettqNx8Lp12aqs0xH39gQ0cXGoa9TA8/vvkFSV13QjJaeI8ctOo5dhWFMvRraocesB4Tvht46Gnu1mdjBiMfSZBurbq15Xe5aO0OxZGLsRJl6GXlPBq4XhsdgTsPMT+KUZ/NQENr8HV7dD8e1Lw2u1bkf/tyejUKq4cng/m36ahk57a0Ie3MmL/q83xMRcZWhZZ2rYj6xLT0fp6IA+L4/kb6Zybegw8k+eLFv82fFwYh4sHAg/1oNdn0LqFcMy1KZjDbPvz2yAWr0rdQb+Tjp5d6Kth6HI5LQT04waS3UXdjKJFV+fIC0uF3NrNQPebERQc7dbjtHn5ZE0dRrHxj7N7tVLyN61CwC1iSku/oHGCFsQSgxu7ImtuZqY9Hz2XC7DaiSnQAjqbfj5qPFn5U3MVDTq6g3Ayc3R1PczbIu7HHGZ/PQ0Y4YmCNWWSOQFQbinf++Pr2jx4XlEX3Jl7Q+nyU4tuPmAQoF1j+4obGzw+uVnlHZ2FR7LDTq9zNvLz5CSU0SQqxWfD6x/6wEn5sLiJwx7qb1awMsHoU6/SovPqKzdoNXLMG4HTLwCfX+AgK6G1mzpEXD8N1gyHKb6wB+9YdfnhrZ3RTkA1GzRhgET30epUhF27DDbZ/902ym86zowbFJTer8UjFJl+JWlcnfHd+lS3D7/DKWdHUVXrxL91BjiJ01Ck/yfD7jF+XBtP+z5GuZ0gh/qwKYJELkXkKFGGxjwM7xzBfrPANe6Fftndh8kSWJSi0moFCr2x+5nf+x+Y4dU7WiKdOxZfJntcy+iKdThUdOOER+0wLu2wy3H5ezeQ3j//pzcsIaTPi5cd7QlIvvOM/aCYAzmJkpGtjAkwn8evla2QW1eN3w/sxTyjJ8sB3f2xsRcRUZCHuatRuCeX0yd2BQK9x8wdmiCUC2J9nN3INrPCcJNvVf3JjY3lpldZ1ZIT+vLh/aRnZpCcOf+LPviBPnZxQR39qLDiNuL2Omys1FW8v/Jn3aF8cOOq5irlax/vS01Xf/ZH6vXwfYP4eivhtsNR0H/6YaKwY+7wmxD8hy+0/CV9d89nRI4Bhr61Ls3JCrLgi1rdjLo3Y9wr3WPVn7/OLD8KioTBS0HBqDPyiRl+gwyV6xAUugwc1Xh9dErqIriDCsk4kJA/++Zfgm8mkOtXlBvCDhUbCvF8vDDyR/48+Kf1LCuwd8D/8ZEaby+0NXN4dXhnN4RAxI06eFDywF+KP5VoLI4Koqkb6aSvW8vFzydiXU0vL8Ed+1J1+deRqlSGyt0QbhNbEY+HabtQS/D9rc7EORaSr0GWYY5HQ11TTp/CB3frZxA7+HY+khObo7C0cuKro4hpM6YgWlQEH7r1lZ6K1lBqIruJw8VifwdiEReEAyu51ynz5o+qCQVB588iKXaslyfPzs1hYXvvk5Rfh4etYeSnuSDvZsFT7zfHJWJkqJr11A5ORmtuNSRiDRGzz2KXobvhzdkaFNDATY0hbDqObiyyXC7y0fQfqLRl2JXSbIM6ZEQfQiiDxuKymXdXu1eo1egVkpgV8Mw02/hCJbOYG5vuDiiUIHShJRUNSu21ALA2ymZHkFbMSuIRE6PQSrKuHMM1u7g0wb8OkJQL7B2rchXXO5yi3Ppv7Y/qQWpvNboNV5u+LKxQ6o2igq0bJp5lhb9/PD6zyy8rNcT2acvOddjOO3nTrqlGZIk0XHMOJr0GSCSCqFKennRKbZeTGRUyxp8NTi49AHnVsKacWDpAm9fMPrF5sI8DbsWhNK4ew1cXSTCO3dBn5+P92+zserY0aixCUJVIBL5hyQSeUEwWHl1JZ8d+YwmLk1Y0HtBuT63rNez8osPuX7xHHZufhQUDkSpVDJscjOca1ijy87m2tBhoJDwnj0bU7/KnTnNyCum94wDJGYXMrypF98Ob2h4oDgPlo0yLM1WmcHg2YaK5kLZ5SZDwjlIOGOYKUqLMCT7WsN2isQCK46letPb8womitt7zYcVtGV39utoZTOslUn0tpuKs9qw1FS2cEJyrQeu9dBZ+hL/20bsX3gHyw4dqnVitjlyM5MOTEKtULOq/yr87fyNHVKVlJ1awKVD8bQc4F/y9y3L8s2ftVqQZSS1YaY9cvFfbN2wkgJZh4m5Bf3efA+/xs2MFr8glOZoZBoj5xzFTK3g2JRu2FqUsmpEp4HpDSAnHgb+Co0rt9tLaRK++Ybz69eQUMOd0QtXojIRK46Ex9v95KGVVy1KEIRqp6TtXAXsjw/Zsp7rF8+hMjFFo+uKJClo3t8P5xrWyHo98ZOnoLl+HbWnJyp7+3I//73Issyk1edIzC7E39mSTwf+s9y7MBuWPAExR8DECkYtr5S+4o8cKxeo2c3wdYNeD7mJ6JLD2TDtV7Jzc1mT5c+Qrh6YKHSGD6M6DUgKappY4FBwns1Hg8nOdWV15vd07m9NrQ6BSBY3Z11TvvyK3JPh5J58GYvWrXB97z3M6tQxwgt+eL39erMxciMH4g7wyZFPmN9rPgpJlLm5QZZlrhxNZP/yq2gKdVg7mJV0vJAkCVmWydmxg5Qfp2P/1OiS1pWmzZpStGkV9i4eDHznQxy9atzrNIJgdC39HKjtZs3lxByWnYjhpY4B9x6gVEPLl2Dnx4ZWdI1GVanVY3ZjniLs2F4KZR2nlyyk+dhxxg5JEKoN8SlAEIQ70st6jiceB8q/f3xqTBQHlhpm+H0aDkSntcHN35YmPQwfotPmzSN3924ktRrPGTMqtbgdwJLjMWy/lIRaKfHTyMZYmKggP91Q6TzmCJjaGvrDiyS+/CgUYOOBMrAD/d79FFMLS+ISs1l1XKaoyxcw8BcY8hsMngV9v8dx2CSGf9odn/qO6HQSO9fmcmT7rUvrnV9/DYfnnkNSq8k/cpRrQ4YSP2kSxTG3L+2v6iRJ4qNWH2GhsuB08mmWX1lu7JCqjMI8Ddt+v8iuBaFoCnW4B9riXcdwQUeWZfKOHiNq5Ejixr9J8bVrZC5bxo3FiJ616jDovY8Y/dWPIokXqgVJkniu7c1WdFrd7auWbtN0LKgtIfkiRO6p2ADLqDBXw6FVYexYnUrDRobOJ2dOHL6lFakgCPcmEnlBEO4oNC2UzKJMLNWW1HeqX/qAMtJqNIa+4RoNfo2bMWDCU3QcVYtuz9ZBoVSQd+w4KT9OB8D1ww8xr1968bPyFJaUw+cbLwEwqVdt6nvaGmbi/xoC8SFg7gDPrAfv5pUa1+PEvWYthn/0JWaWViSEXWHl5x9SmJt723Fmlmr6vtqAZn19QQJX31uXoCltbXF97138t2zGpm9fkGWy1q0noncfEr/4spJeTflxt3LnraZvATD91HQSchOMG1AVEHE6maWfHiMiJBmFQqLlQH8GTWiCtaMZeUeOED1mDDFjx1J49hySuTkWzz/LqebBpETfrPrt16gpphblW/9DECrSgEYe2FuoicssYGdoGVrRmdtBkzGGn48YvxUdgE6n5/zeOK5fSsdryKtY2NqRnZrM5UP7jB2aIFQbIpEXBOGODsYdBKClW0vUivKr3JxwNZS02OuYWdvQ8+U3USgU1O/gia2zBZrkZOImTgS9HtuBA7F7Yni5nbcsirQ6xi87Q6FGT/uaToZZD00BLB0J8acNBdjGbgKPRpUa1+PI1T+Q4f/7CnNrG5Iiw1jx6WRyM25vByYpJFr292fUxy3xb+Rccn9h3s1K9SZeXnh+/x2+K1di2aE96HQle6SrmxG1RtDYpTH52nw+P/o5j3OZm8Nrwtn62wXys4uxc7Vg6KSmNOvti0IhkfLjdGKefY6Ck6eQ1GrsR41CPeMHNl05Q8zFc2ybNeOx/rMTqjcztZInWxhWkMwvayu6li+DpDB0EkkOrcDoysbS1pS67TwAOLMjnqZ9BwFwfO0KZH0ZVhkIgiASeUEQ7uxw/GEA2nq2Ldfn9a7XgCe/+J7A5mNQm95ajT556jR0qamYBgXh9snHlV6c7McdYYQmZONoacL3TzREodfAiqcNFddNbeCpNVWqz/ijzsXXnyf+9xWWdvakxERxdPXSux5r73ZzRjU3o5DFHx/l0OpwdP9admoeXJ8ac+bgs3QJjuOeL7k//+RJ4t59j8KrVyvmhZQjhaTgkzafoFaoORB3gNVhq40dktH4N3JGoZJo2tuHJyY1xvFfpTSse/ZAMjXF/qmn8Nu2lcg6/qz99XsKcrJx8Q2g/9uTq3XxQ0F4qpUPSoXE0ch0QhOySx/g4Ae1+xl+riKz8o171EChlIi7momrb2tMlCrS4+O4vH2zsUMThGpBJPKCINwmpziHsylnAWjj0abcnz8iRE/4aVPW/3Tmllkx1/enYN29O57Tf0Rhbl7u572XU9HpzNkfAcBXQ4JxsVTD3y9C2HZQmcOoFWIm3gicavgy8rNvqdu+Mx3HPF/6AODa2VQKczWc2RHD39+FkJWSf8vjFo0bo3J0LLmd+tscsjds4NqAgVx/9TXyT56s0rO1/rb+vNnkTQCmnZjGtawyzshVc9mpBYSfurmM2M3fltGTg6mZcYCofr1J/v6HksfM69Wj5r69WL32CuvnzeTIqqUgyzTo2osnP/8WOzd3Y7wEQSg3Hnbm9KrvBsD8Q1FlG9T6dcP3cysM3UOMzNrBjNptDP8Xz+5LIUAyVKw/umxRlX4PFoSqQiTygiDc5ljCMXSyDl8bX7ysvcrlOc9s30xSZDixVzI4s+s6AE17+94yK6ZydMTr558w9a/c1lr5xVomrjiLXoYhTTzpWc8Ntr0PF/8GhRpG/gU+rSs1JuEmO1c3er8+EbWpGWAoYJaREHfX44M7edHrpfqYWqhIupbN8i9OEHo4/q4fDJ3ffBPrnj1BksjdvZvop8YQNWw4WevXIxcXV8hrelhj6o6hpXtLCrQFTNo/CY1OU/qgakqvlzmzM4alnx1j5/xLZCblU3jlCgn/+5j4/j1I/mYq2vgEcg/sv+XvK7swn4Xvvk7MhbOoTE3p/fpEur/4umhvJTwynm3jC8DaM3Gk55Xhvcq7BXg2A10RnJhbscGVUdOePkgKieuX0vEf8DwuWXkEXYlCm5Zm7NAEocoTibwgCLe5sT++vJbVJ0aEsfvP2Sz+YALb5uwHGeq288CvgRO6rCyyt24rl/M8qKlbLhOVlo+7rRkf968HR2fDsdmGB4fMgcBu934CoVIdWv4XC999g7ATR+56TEBjF574oDnugbZoinTsXniZbXMuUJh7e8JrXr8eXjOm479pE3bDhyOZmlJ48SLx700i5sWXKvKlPDCFpODLtl9ia2pLaHoov5z5xdghVYiUmBxWTzvFoVXhaIv1ONnpiZ84kWsDB5G5YgVyQQGmNQNx+/RTArZsQfpXkm7n4oazrz/OPn489fV06rbvbMRXIgjlr6mPPfU9bSjS6ll2ogzdOCQJ2vwzK39irqEGjJHZOJlTq6UrAJHp7rSzdsYhI5uMBQuNHJkgVH0ikRcE4RayLN/cH+/x8Im8VqNh26zpyHo9tq7BFOZZY+NkRtthgciyTMKHHxH31luk/PTTQ5/rQRwKT2XBkWgApg5tgG30Dtg62fBgt0+h/hCjxCXcmV6nIyXmGlpNMRu+/5oz2zbd9VgbR3MGTWhCq0H+KBQSEadTOL3z7h92Tf39cP/8MwL37sH5rTdROTtj06tXyeO63Dxy9+9H1unK9TU9KFdLVz5t/SkAf174k+MJx40cUfkpzNOwb+kVVn59guSobEzMlHQaXYsOrqFIJ/eCUol1r17UWLgAv/XrsR/xBApTU9JiYyguNCQnkkJBvzffY9QX3+Po6W3cFyQIFUCSJMa2MbSiW3QkGk1ZWtHV7g+2NSA/Dc5VjTaWTXv5EtzZiw4jg3B65WUAMpYsQZeVZeTIBKFqk2SxCeU22dnZ2NrakpWVhY2NTekDBOEREpkZycB1AzFRmHDwyYOYqx5ur/qh5Ys4umY5phbWoH4KSWnOkIlNcA+0I2PZMhI/+RTUanyXLq30VnPZhRp6Tz9AXGYBT7WqwRcttPBnH9DkG/ru9ptumMEQqhS9TseuP2ZxbudWAJoPHEb7kU8jKe5+bTo5OpuTm6Po/nw91CbKMp3nxjLtG7O8GcuWk/jJJ6jc3bHt3x/bgQMwDQh4yFfz8D45/Amrw1bjaObI8n7LcbV0NXZID0Wn1fPX+wfIzTZcMPH10tPxtfZY2ZuiSUgg8++/sRs6FLXrzdcp6/WEbFnPgaULqNehK91ffN1Y4T80jV5Dcn4yiXmJZBZmkqfNI0+TR77GUOtBpVChlJSYKE2wM7XDwcwBR3NHXC1csVBbGDl6obIVanS0/WY3aXnFzBzVhL4NylD/4chMw/YxpyB49Rjc472zssl6PZcHDeJyThq6enUY9kvV2AIgCJXlfvJQVSXFJAhCNXEo/hAATV2bPnQSnxQZzrG1KwGwdO5FfrY5Dbt64x5oR+GVKyR99TUALhMnVHoSD/DFxkvEZRZQw8GC99vZwvxuhiQ+oCv0+V4k8VWUQqmk27jXsHZ05tDyRZxYt4qc1BR6vvIWqru0lXPxsaHPKw1Kbuv1MtvnXqB2K3d8GzjdcYz0n73UcnERCltbtAkJpM2ZQ9qcOZgFB2Pbvz/WPXvcklhWpveav8e51HOEZYQxYd8E/uz5JybK6rUPXJZliiMjydm5i+ytW3HO90Hv0oxaYcvxVtbAyt6wvUXt7o7zq6/eMjY7NZmtv07n+sVzAOSkp6LTalGqqvZHnEJtIaHpoYRlhBGWEUZEVgRRWVGkFqQi82BzLK4Wrvjb+uNv5089x3o0cmmEl5WXqND/CDNTKxndsgY/7Q5n/uFrZUvkG4+Bvd9A6lVDO7qgHhUfaBlJCgUWI0cSuXYxpCSSePUybkG1jR2WIFRJYkb+DsSMvPA4e3nnyxyKO8Q7zd7hmXrPPPDz6LQa/pryNqkxUQS1bk/X597m1NYoWg0KQKkt4trwJyiOiMCyYwe8Z8+u9A+au0KTeH7BSSQJVjzfhOZ7RkPcKXCpC89tAzPxf786uLhvF9t/+wm9TkeN+g0Z9uEXZfq3dOlgPHv+ugxAzeautB0WiKWtaanj9EVF5O7ZS9a6deQeOABareEBtZqgI4dRWlk91Ot5UNezrzNi0whyinMYFjSMj1t/bJQ4HkRmbCY7pyzF4+pm7LPCAdCrTbFq0xq7fn2w6twFpZXlbeNkWebC3h3sXTCX4oJ8VKamdBozjgbdelXJxDWrKItjCccISQ7hbPJZLqdfRitr73isWqHG1cIVR3NHLNWWWKotMVeZIyGhk3Xo9DoKdYVkFmWSXphOWkEauZrcOz6Xs7kzTVyb0MGrAx08O2BnZleBr1IwhqTsQtp+sxutXmbjG+2o72lb+qBtH8CRX8CvAzyzoeKDLIP0hDyOrAlHZaIg/+xPRKYkENCsJYPe/cjYoQlCpREz8oIgPJBCbSEnE08CD78//uK+3aTGRGFubUPX517GwsaE9k8EAZDw+dcUR0SgcnbG4+uvK/1Dd0ZeMZPXnAdgXFtfml/8wpDEm9nByCUiia9G6nXsiqW9Axt//IZ6nbqV+d9SUAtXMpLyObszhrATSUSfT6XVoADqdfBEobj7cyhMTbHp1RObXj3RpqWRvWkz2Vu3orCwuCWJj580CZWbO1YdO2DesCGSsmzL+R+Ut403U9tP5bVdr7Hq6irqOdZjWNCwCj3ng9AkJJB78CDahESsnnuJkK3RnNsbi96yFgWBZnSwPIJNt25Yd++Oyt7+rs+Tm57GttkziDobAoB7zVr0fm0C9u6elfVSSqWX9ZxLOcf+2P0ciT/CxbSLt820O5o5UsexDjXtahJgF0CAXQDulu44mDnc9/tiVlEW17KuEZkVSXhmOGdTznIp7RIpBSlsi9rGtqhtKCUlTVyb0LVGV/r69RVJ/SPC1caMPsHurD8bz5+Hovj+iYalD2r5MhydBdf2Q8I5cG9Q+pgKptfpiTqfBhL0eek9rn0zkYiTx0i6FoGrn/G3MQlCVSNm5O9AzMgLj6vDcYd5aedLuFi4sHPYzodKsGW9npObNlKYr6b9iN4l9xdevsy1QYNBkqjx559YtmpZHqHflzeWnmbD2XgCXazY0voK6m3vgqSA0asgsGulxyM8vPzsLCxsbs5CaYuLy9RmLCUmh72LL5McnQOAi481HZ6shavv/b33yxoN0j/L+rWpqYS1a1/ymNLWFosWLbBo1RLLli0xCQiosItXv5/7nZ9O/4RaoWZez3k0dmlcIecpC1mW0cbHk3fiBPnHT5B/4gSa69fRKk25XqMrsUH90RQZinN5+BgKYLrUdCnTc+dnZzF/wisUFxbQ9omnaNp3EIoKvlhSFhqdhiMJR9gds5u91/eSVnhrC60A2wBauLegkXMjGro0xMPSo0IvZBZqC7mQeoGjCUfZc30PVzOuljymVqjpUqMLQwKH0MqjFQqp6uyTFu5fSEwGQ349jIlSweEpXXCyKn2FEauegwuroeGTMHh2xQdZBptnnePa2VRqNnNBW7CV0IN78W/UjMFTPjF2aIJQKe4nDxWJ/B2IRF54XE07MY1FlxYxpOYQPm3z6UM/356/LnPpYDyNunnTdljNkvtz9++nKCwcx+efe+hz3K/N5xN4dXEISoXEtiEqAjc/CXotdP8M2r5Z6fEI5S8vM4OlH71D4179adJnYKmJkl4vc3F/HEfXRVJcoMU90JbBE5s8cIKlz8sjZ9cucvfuI/fgQfTZ2bc8bvfkSNw/Nix9l3U65OJiFOYPV4/iBlmWmbB3AjtjdmJjYsPC3gsJsKucmSxdVhYKK6uS1QcJH39C5vJbq2InujYnvNYIihWG1+vkbUWrgQHUqFf6DHR2ajLWjs4lx0WfO4O1kxMOHl4V8GrKTqfXcSrpFJuvbWZnzE6yim5W2rZWW9POsx1tPdvSyr2V0QsRxubEsjtmNxsjNxKaHlpyv4+ND8/Ue4YBAQMwVZYhARSqpIEzD3H2eiYTuwfxRteapQ+IPQVzu4BCDW+dAxuPig+yFCnXc1jx5QmQoMcIa9bPMnwWeerz73AVe+WFx4BI5B+SSOSFx1X/v/sTlR3F9x2/p4fvgxW/iTx9Aq869UmKLGD9T2cAGDyxMR41775MtrJk5Wvo+sM+UnOLmNzOjpcvPwu5SVB/KAydJ4rbPSKOr1vFgSXzAajdtiM9XnoDtalZqePysoo4siaC4E5euPoZ3vuLC7VIkoTa9MFme2WtloJz58k/foy8Y8coCDmN2yefYDd4EAAF5y8QNXIkpoGBmNYKwqxWLUxr1ca0ZiAqF5cHupiQr8nnhe0vcC71HG6WbizqvQg3S7cHiv9O9Pn5FEdFURwVRWFYGEWXr1B45TLa+AT81q/DLMiwhSZ94UKSpn2Leb16WLRojkXz5sQpfNj5VwS2zua0HOBPYFMXpHtsZQDD6orj61ZyfO1K+rzxDkGt2pXba3kY13Ou83fY36yLWEdyfnLJ/U7mTnSt0ZWuNbrSzLUZauWdCzAaW2haKH+H/83GyI3kFBtWpDiaOTK6zmierP0kVibGqfcgPLi1p+N4a/kZXKxNOTipCyaqMqyy+LMPRB+CNm9Ajy8qPsgy2PrbeSJOpxDQyJHMTe8SZ2GCr5cPQ7+faezQBKHCiUT+IYlEXngcxWTH0PfvvqgkFftH7sfaxPq+nyM5KpLF77+NlYMTKsuR5GcpDb1hRwSRtX49Fk2bovY03h7WKWvOs/R4DDWdzNjm+COK6AOG4nbjdoLJ7cW0hOpJlmVOb93IvkVz0et0ONfwZcA7H2Lnev/J7OE14Vw5mkjT3j7Ua+eJUv1wy4/1xcWg16MwM1xYyFixgsT/3bkwnWRhgccXn2PTpw9g2F9eeOkSKjc31K6uKO3skO5SmT2jMIOntzxNVHYUgXaBzO81H1vT0gtgyToduowMtGlpaFNT0SYmYtm2LWo3w59d+uLFJH1+9w/7ntOnY9OrJwD5KVmEHkvB3N6Cum0NM316vUzYiSQCm7mgVJb+Zxlz4Sw75/5KRkIcAPU6daPXK2+VOq6iFGoL2RWzizVhazieeLzkfhsTG7r7dKe3X2+auTZDqTD+Mv+yytfksyZsDQsvLSQhLwEAe1N7XmzwIk/UeqLadUB4nBVr9bSdupuUnCJmjGzEwEZl+H17dRsseQJMrOHtC2BuV+FxliYtLpdlXxwHGdr6XyZ821JqqS2ov2lzhdcbEQRjE8XuBEG4b/tj9wOGtnMPksTrtFq2/vojep0OhcqVvEwFts5mtB4UQMHZs8RPeR+FuTn+69eh9qj85XvHr6Wz9HgMAPMD9qI4ewDUljB8gUjiHzGSJNGkd39cfPzYMP0bUmKiWDzlLXq/MRH/xs3L/Dw6nZ6oc6nkZxdzYHkYp7fH0KyPL7XbuJcpCb0TxX/27dsNH45V+/YUhl6m6OoVCq9coejyFYpjYpDz81Ha2ZUcm3fkKAnvv3/r89nYoLSzQ2lnh+t772LRrBkAZlev8/nFOrzpnkh4ZjgvLxjMVykdMCuSkYuLsX/qqZKWjzm7dpE87Vt0OTnoMjNBr7/lHJ4zZpQk8je+K+3sMPHzwyTAH7NatTGrXQvToCCUtrZkpxVwbncslw7GoynSYWFrQlALV1RqJQqFRK2WpV9QyU5NYd9ff3D1yAEALO3s6Tz2JYJaPVwRzgd1Of0yq6+uZtO1TSWz1xISrT1aM7jmYLp4d6m2Ca+F2oKn6j7FiNoj2HptK3POzSEqO4qpJ6ay6NIiXm/8Ov38+1XJTgDCrUxUCka3rMH0nWHMPxxVtkQ+sDs414GUUDj1J7R7u+IDLYWjpxWBTV0IP5lMmlN7GuQtQpcZQ/aWrdj262vs8AShyqgSifzMmTP59ttvSUxMpGHDhvz888+0aNHijsfOnz+fZ5999pb7TE1NKSwsLLktyzIff/wxv//+O5mZmbRt25ZZs2ZRs2YZ9gsJwmNqX+w+ADp4dXig8cfXriQl+homFlYU5LdGUkh0HlMHpa6ImPcmgU6HVceORknii7Q6pqwx9Jj+qE4inmd/NjzQfzo4B1V6PELl8Kpbn6e+mc6GH74mIewKf3/zKX3Hv0vtth3LNF6pVDDiwxaEHk7g5OYocjOK2Lv4Cqe2RtO4ew1qt3FHbfJws0OSJKF2d0ft7o51l84l98vFxRTHxd3Sm15hboZZ/fpokhLRpaaBLKPPzkafnY0mJgZ9QUHJsUVhYZj+tYEpzvDxU0oumKXwnryKyWt1WBSDVaeOJYm8rNFQHB3976BQ2tmhcnJE5eqG0vrmEmvLNm2oeeTwbRXlZVkmMTKb8ysvEB6Sgqw3LPZz8LCkcfca9+wE8F8X9uxg15+z0RYVIUkKGvboTbuRT2NqUbkX3Ip1xWyP3s6yy8s4m3K25H53S3cGBQ5iUOAgPKyMv6e4vKgVavoH9Ke3X2/Whq9l1plZxOfF8/7B91l1dRUftPqAIHvxflnVjW7pw8w94ZyOyeTM9Uwaedvde4BCAW3Hw9pXDFXsW70KKuPXSWjRzw/3AFvqtvMgs+hpUmb8RNpvv2HZo3uZCpkKwuPA6Evrly9fztNPP83s2bNp2bIl06dPZ+XKlVy5cgUXl9ur186fP58333yTK1eulNwnSRKu//qwM3XqVL7++msWLFiAn58fH330EefPn+fSpUuYmZW+T1IsrRceN7nFubRf3h6tXsvGwRvxsfG5r/E3ltTrdTqsXQeiKQ6gfkdPOj5Zq6TglcrNDf91a1HalqG/bTmbsTOMH3depbZlHptNp6DIT4WmY6H/jEqPRah8Wo2GfYvmEX0uhKe+no6JucUDPIeOi/vjObUtmoLsYgCa9PSh9WDjtESStVp02dnoMjNLvswbNkTl6AgY9t7n7tsHej2hikQmWW4lV1FMbZ0L03SD8OjSB9MAQ+za9HSKIyNRWFujcnBAaW9/1yX7d3NsfSQnN0eV3PaqbU+j7jWoUff+26hFnz/Dqi8+xKNWXbo+9zIuvv73Nf5hJeYlsuLKClaHrSa9MB0AlUJF1xpdGRI4hJbuLavV0vkHVaAtYHHoYuacm0OBtgClpGRUnVG81ug1LNViFVNVNmH5GdacjmNQIw+mjyxD5wptMfzUCLLjYMDP0OTpCo/xfuiysznTsweXbM2xaNiQoVOnGzskQagw1WqPfMuWLWnevDm//PILAHq9Hm9vb9544w0mT5582/Hz58/nrbfeIjMz847PJ8syHh4eTJw4kXfeeQeArKwsXF1dmT9/PiNHjiw1JpHIC4+bHdE7mLB3Ar42vmwYvOG+xuq0WpZ8MJHkqAgCm7emUa+XCNkWQ9/XGlB05ACxr7wKQI35f2LZqlVFhH9P4cm59JlxAK1Oy3Gvn3FKPQauwTBuB6jLp1K4UD0UF+SXJPGyLBMbegHvusH39RyaYh2XDydwbk8sA95shLWD4eJwSkwOWo0eN3+bKrkE+VLaJV7c8SJZRVnUcajDnO5zHriHuCzLJIRnYWalxsHdkNAlR2ez5rsQajZ3pUEnL5xrlH17TlJkOOlx16nT/uaKhOsXz+FVN7jS/ixlWeZE4gmWXl7Knut70Mk6AFwsXHgi6AmGBg3FydypUmKpahJyE5h2Yho7Y3YChhUJn7X9jFbulf9+LpTN2euZDJx5CLVS4tCkLrjYlD6JxeFfYPsH4FgTXjtumKmvIvR6mUtffMO2CwdBknh62s84+/gZOyxBqBDVZo98cXExp06dYsqUKSX3KRQKunXrxpEjR+46Ljc3Fx8fH/R6PU2aNOGrr76iXj3DEsFr166RmJhIt27dSo63tbWlZcuWHDly5I6JfFFREUVFRSW3s//TKkgQHnU39se392pfypG3O7nxb5KjIjCzsqbbuFextLPHp74T2rQ0Ej78CACHsWONksTr9TLv/32eYp2eb932GJJ4tSUMny+S+MfQv2fiT2/dwJ75c6jdtiNdnnsZc6uyJZ5qEyXBnbyo39HzliTz+IZIos6n4eBhSb32HgQ1d8PMqupUK6/rWJc/ev7BC9tfIDQ9lDFbxvBzl5/xtfUt83NkJOYRdiKJK8cSyU4tpG5bdzqPqQOAi48Nz05rh6l52T9WZKckc2j5Ii4d2IPa1Azv+g2xsncAwLteg/t6fQ8qT5PHhogNLL28lMisyJL7m7s158naT9LJuxNqRdX5ezQGdyt3fuz8IwfjDvLF0S+Iy43jhe0vMKLWCCY0nYCF+v5XuAgVq6G3HU1q2BESk8lfx2KY0L0MWyKaPgP7pkFaGFzZDHX6VXygZZAYmcWuBaFY23bD1yOGqITrHFm9lAET3i99sCA84ox6uS01NRWdTnfLsngAV1dXEhMT7zimVq1a/PHHH6xbt46//voLvV5PmzZtiI2NBSgZdz/P+fXXX2Nra1vy5e3t/bAvTRCqDb2sL0nkO3qVbe/wv9Xr2BW/xi1oM/w5LO1u7ptNmzMHXVoapkFBOL/9VnmFe19WnrrO8WvpNFdfY1j2AsOd/2/vvsOjKLcADv9mW3rvCSGhJKH33pEOUqyABbD3XrGgiAqCBa8iKAJio6iAUqQ36b2FEFpCIKT3utky94+VXHMBSSBhEzjv8+yT3Znvmz2TyWT3zHxl4GTwrW+XeET1YSwsQNFoOLZ1E3NfforT+3ZXqP4/k3jVquLkbkCn15B5voC/FpxgzqtbWPblQWJ3JFFSZK7s8K9KpFckc/rNIdAlkPjceO5ZcQ/bz1/+ormqqqSfy2PnH6f5efxOfn53J7uXx5ObXozeQYvu/6bkK28SX5iTzfrvvmb2849y9K8NANRv1/G6tmQ4nXOaD3d+SK9fevHBzg84nXMaJ50Tw6OGs3jIYmb3m02fsD43fRL/T11CurBoyCKGRw0HYEHsAm7/43YOpB6wb2Dikh7obLtj/fPOMxSbLFeu4OAGbR+yPd86FarJpFZObnpy0oo4ezyPxnc/BYrCiZ3bSDsTZ+/QhLA7uzatP3/+PCEhIWzbto2OHTuWLn/11VfZtGkTO3fuvOI2TCYTDRs2ZOTIkUyYMIFt27bRuXNnzp8/T1BQUGm5u+++G0VRWLBgwUXbuNQd+dDQUGlaL24Kh9MOc8+Ke3DVu7J5+OarmvN40/xYjm1P4pb7GhLR1nYRzWo0kjb1czyGDcUxKqqyw76itDwjvT7ZiKU4j21e7+JRdBYa3wZ3zpH54gUASSdjWTntMzLP2y4EN+nZh+73PYSj69XNn20sNBG7M4WYbedJP5tfujwkypNhL7SqlJgrQ3pROs9veJ6DaQfRKlpeb/c6IxrYWquZSiylA/ipqsrP7+4kO6UQAI1WoVYDL6LaB1KnhV+FB/ozFhawZ+ki9i7/HZPRNkBt7SbN6DpyDIH1q34QQqcnNQAAeINJREFUNYvVwqZzm5h3bB47knaULg93D2dEgxEMqTfkqmbsuBntSNrBuK3jSCpIQqtoebrl0zzY5EE0SvVpjn2zM1msdJ+8gfM5xUy6vSkj2tW+cqW8FJjaBCwl8MBKCOt45TrXwfofYojZmkRoQy8U6yqO79hC/ZZtGfr6pafuFKImqzFN6319fdFqtaSkpJRZnpKSQmBg+eb71ev1tGzZkpMnTwKU1ktJSSmTyKekpNCiRYtLbsPBwQEHB/uP0CmEPVwYrb5TcKcKJfFZyefxCgzm/Iksjmy0zfHs6PK/+hoHBwJee7Vyg62ACcuOkltsZqbHPFsS7xEKt34mSbwoFVQ/ivs++pyt879n74o/OLJhDaf37ab/ky9Qp0XrCm/PwVlPs561aNazlq0Z+p5UTuxOoV7L/w3cWpBj5PfP9lOrgTeB9dwJrOuBm7fjdb0b7evky6x+sxi/bTxLTy/lg50fsGrPZnqeu5viJIUHp3RBZ9CiKAqR7QJIS8ijXit/wpv64OB89XeoS4qK2P3Hb1jMZgLrRdBlxGjCmrWovB27jKziLH478RsLYxeWzpOuUTR0r9WdkQ1G0iGoQ7Uc16A66xDUgUVDFjFhxwRWxK3g832fsytpFx92/fCmHUugutFrNTzQuQ4frIjh2y1x3N0m9MqzR7gFQPORsG8ubP282iTybQaEE7s9mbMxWXTu0ZzjbOHk/t2kJcTjVzvc3uEJYTd2TeQNBgOtW7dm3bp1DBs2DLANdrdu3Tqefvrpcm3DYrFw+PBhBg4cCECdOnUIDAxk3bp1pYl7bm4uO3fu5IknnqiK3RCiRrvQrL4i086lJ8Tzw+vPE9GuE5lptg/6Rp2DqBXpTvavv+IxbFiFR72uTBtiU/nj4HkGaXfQx7gWFA3c/g04eV25srip6A0O9Bj1CPXbdGTNzC/JSjpfpovI1fIKdKHdrXVoOyi8dCo2gIToDLKSC8lKLuTwRtsyFw8DAXU88A52oX4bf3yCr65FwL9RVbU0WT21P5WYrUlEJg6kvZPCrtrL2GP5ixjvw/TMvIfUM80IjrD9DtoOuvoBpQpzc4jbv4fG3XsB4ObjS6e778MrMLjKm9KrqsrBtIP8cvwXVsatpMRqm2nA08GT2yNu5+6ouwlxLccc2+KyXA2uTOo6iQ5BHfhw54dsT9rOXUvv4pPun9AqoPq0QLmZDW8XyufrTnAyNZ9Nx9Po2eDi2aAu0ulZ2Pc9HP8TUo+Bf4OqD/QK3H2daNg5iOi/zhMX70VgbiHJ7s7smjuLQW9PsHd4QtiN3eeRf/HFFxk9ejRt2rShXbt2TJ06lYKCgtK54keNGkVISAgTJ04E4L333qNDhw7Ur1+f7OxspkyZwpkzZ3j44YcBW7/F559/nvfff5+IiIjS6eeCg4NLLxYIIWxSClKIyYxBQaFLSJdy1bFaLKycPhWrxUxKfCZFRSW4eTvS6c4I0r/+mvQvviR3zRpCZ8ywy12uwhIzby0+gj9ZTHH8DixAlxchrNN1j0XUHLUaNWHUlC84dzS6zHRnJ3ZuI7Rxs6tubq8oCor2f+dB3Zb+GBx1nD+RTfLpHNLP5lOQU8LpA2mcPpCGX2230kT+9IE09v4Zj4unA66eDhicdegdtBgcbT9DG3nj4mFrTZaVXMC5Y1kYC00UF5oxFpopzishL9NIXmYxg59tTmAd29SP+ZlGzhzJAKBVdi8aOTVluf9sUh2SWNb4Kzyycniq5KmrbmaenZLM3uWLObJhLeYSI761wwmoY5vqrt3QO69qm+WVVpjG0tNLWXxiMfG58aXLG/k04p4G99C/Tn8ctNICr7IoisJtEbfRzK8ZL296mZPZJ3lo1UO81u41hkcNl5YOdubuqGdE21C+3RLHzL9Oly+R961vG+guZils+wKGTav6QMuh9YBwYrYncT6+kJaNe+G94w+i9PH2DksIu7J7Ij98+HDS0tIYN24cycnJtGjRgpUrV5YOVpeQkIDmH1NgZGVl8cgjj5CcnIyXlxetW7dm27ZtNGrUqLTMq6++SkFBAY8++ijZ2dl06dKFlStXlmsOeSFuJpsTbXfjm/o2xcfJp1x1dv/xGymnT6J3dKaoqBOKotDjvgZYTxwl/avpAHjceqvdvsBNXXuCxOxC5jt/i7MlF4KaQ4+Lp7IU4v9pdfoyTb0zEs+ydOokHJxd6HjHCJr3HYhWd22Dnzk46ajXyp96rWxfqE0lFtLO5JJ6Jo+spAJ8Q/93wSA7pZDUM3lwJu+S2xryXIvSRD7xeDab5x+/7PvmZRSXJvK1G3vTXR+Fd7ALvrVcMTjqeNw0hE/2fMLC4wv5KeYn/oz7k6daPMUdEXeUe870pBOx7Fm6iBO7tqOqVgAC6tbHYjKVq/7VMllMbDq3iSUnl7AlcUvp1HFOOif6hPVheNRwmvpev6nsbkb1POvx08CfeHfbu/wZ/ycf7PyAI+lHeLvj23LhxM4e6FKHOdvi2XYqg+jzOTQO9rhypc7P2xL5QwvgljfBPbjK47wSN29HGnUO5simREyNB1Fn1QKMe/ZQsHMXLu3b2Ts8IezC7vPIV0cyj7y4WTy+9nG2Jm7luVbP8XDTh69Y/kKTeqvFjHvgEEqM9WnQKYied4YRd9vtlJw5g/vAAQR/8oldvjQfScxh6LStjFRW875+Dmgd4LHN1aJpoKh5kk7Gsmr652ScSwDAMyCITnfdQ1Snbmi0FRvo7WrkZRaTfjaPgmwj+dlGSootmIrNmIwWTMUW2g+ti3+Y7TMqITqD6C3ncXDW4eCsx8FZh6OLHjdvR9y8HXH3c0Snv3LMWxO3MmnXpNK72RFeETzb8lm61ep22YHMctNSWfrZRJJPnShdVqdFa9oMvoPQxlWTQFtVKwdSD7AqfhV/xv1JljGrdF1L/5YMqz+MfuH9cNG7VPp7i8tTVZXvj37Pp3s/xapaaeLThC96fSH95u3smXn7WXrwPLe1DOGz4S3KV2nOQDizFTo9A33fr9L4yis/y0hWUgG1GnqRMuF9sn7+Gcc2bQj46kuc3ctxgUKIGqAieagk8pcgiby4GeSV5NFtQTfMVjO/D/uduh51/7W81WLh57deJuX0Ceq0bEtA/Xs4uS+VEW+1I3PyB2TPX4AuIIC6f/yO1uP6f6BarCrDpm0l7/wxVjm+iYNaDP0mQscnr3ss4sZhtVg4snENWxf8SGFONgCegUG0H3Y3Dbv2RGvHsSCqislqYmHsQr468BW5JbmAbWT3+xvdz5B6Q3DUOWIsLMTB2TZ/uMVsYuZTD1Kcn0dUp260GXx7lQxAZbKY2Je6jw1nN7Amfg2pRaml6/yc/BhSbwhD6w+ljsfV9+sXlWNH0g5e3vQyOcYcAl0C+fKWL4nyvv6zlwibQ+eyGfLlVnQahb9e60mQh9OVKx1fBT/fDQY3eOEIOHlWeZwVYUpOZs+QWzkY5I1Pw0bcNWmqvUMSolJIIn+NJJEXN4M/4/7k1c2vUsejDn8M++OK5Xcu+YUt8+bi4OLCmI+/wtXbB5PRQvH2vzj3uG0gydpzZuPS0T6j3M7aEscHy46w2HE8zTkBdbrB/b+DRqZDEteupLiIfSv+YO/yJRTn5+Ho4soj02ZjcHK2d2hVJseYw6wjs/gl9hfyTfnozAqN0n1pnhKAc4HCY9O+Q68zAHAu5gjewbVw9vCstPdXVZVzeefYnbKbv879xfak7RSYCkrXu+pduaX2LfQL70en4E7oNDfeRZWaLCE3gafWPUV8bjzOOmemdJ9SoUFVReW6++vt7IrL5LHudRk7oOGVK1itML0TpMVAr3HQ9aWqD7ICivNNHJ0wiY1xO1AVhRHvTSEkqhz7JUQ1V2OmnxNC2M+6hHUA3BJ6S7nK+9UOx8XTmy4jR+PqbetPr9OqpEywNbnzHj3abkl8YnYRn6yO5UHtn7Yk3sEdhn4lSbyoNAZHJzrcPpxWA4dwcPUKtHp9aRKvWq1s+/VnGnTqhk+tcszVXEN4OHjwbLNn6Gduw4Y1Cyg4Go/OogB5FKFy57f9admsGy39W9IipAVObtfWEievJI/YzFhis2I5mHaQvSl7SS1MLVPG29GbLiFd6BvWl47BHTFoDdf0nqLq1HavzY8Df+SljS+xM3knz6x/hjfavcHwBsPtHdpN6dGuddkVl8nPOxN45pYIXB2ukAJoNNDlBVj8KGyfBu0fB0P16KqSGJvFiumHcHG7hchGRcTGHGLr/O+5a9yHMhaGuKnIHflLkDvy4kZntBjpNr8bheZCfh74M039mpar3uYFR0iJK6L3mEZ4Bdo+0I0nT5I+42uCPngfjcP1H9RIVVUemruH07EHWe0wFgMlMPg/0Hr0dY9F3JziDuxl0cR3ANvo94263kJEu05XPdJ9dXFs6ybWfvsVxsL/3QV39PMiu74T692PkqrNKVPe29Gbuh51CXENIcQthCCXIJx1zjjqHHHS2ZryFpoKKTIXUWAqILUwlaSCJJIKkjibd5bE/MSLYtBpdDTxaUKH4A50C+lGY9/Gl+2rL6onk9XEBzs+4LcTvwHwRPMneKL5E5JwXWdWq0rvzzZxOq2Acbc24sEu5eiCYjHDl60hK75adVUzFpr44a3tGAvNdLrdn01z38JiNnPnm++XGbBUiJpImtZfI0nkxY1u87nNPLXuKfyd/Vlz55p//WJsLilBZzCQHJfDosl7UVUY+GQz6jSrHoMXLT+UxNM/72Gh4X3aao5B3R5w/xKQL4niOkk5fZIdi+Zzas+u0tHatTod4S3a0KBzN+q1aoe+ms+akpOaQtyBvfiH1yE40tY8NelELD+/9RKuXt5EduhCVKeuBEU0QFEUTBYTO5N3sitpFwfSDhCdHl06V/u1CHIJIsorikY+jWgd0Jqmfk1LLwKImktVVaYfnM70g7aZTYZHDWdsu7HlnhFBVI6fdp7hzcVHqOXlxMaXe6DTluOi2N65sPRZcA2E5w6Cvnr8L9u36gzbF5/CzceRkHqHObBqKQG1wrj34y/lIpGo0aRpvRDiX61PWA/YmtX/WxKfcS6Bhe+9Qefhozm82RVVhcj2AYR4FlJ04ABOLVpcp4gvLafIxLtLo7lfu8aWxOtdbHfj5UNcXEcBdesz9OW3yE1PI2bLRo5t3UR6Qjyn9uzg1J4djJ7yJb5/D/5mLCzE4OiIYsduH6qqkpuWwtmjRzh39Ahnjx4mNy0FgKa39C1N5APrRzJi/GSCIxtcFK9eq6dLSBe6hHQBoMRSQmxmLGfyzpCYl0hifiIphSkUm4spthRjNBtRUXHWOeOkd8JJ54Sfkx9BLkEEuQYR7BJMhFcEHg4y8vSNSFEUnmzxJF6OXkzcOZEFsQvINmbzYZcPpXvEdXRHq1p8svo457KKWBWdwqBmQVeu1HwkbPoIchPhwI/Q9soz3FwPTXvW4uD6s+RlFOMUGobWqpJy7gyn9uykftsO9g5PiOtCEnkhbjIWq4UNZzcAcEvty/ePt1osrJw+lcKcbHYvXU1RUX+cPRzocntdzj/6AEVHjhD84Qd4DB16vUK/yEcrj+GQf5axDgtsC/qMB68wu8Ujbm7uvn60H3YX7YfdRVpCPMe2biLp+DF8Qv/3N7n222nE7d9DQL0IgupHERQRiX94PVy9farkLpLFbMJYUFA6CJ3JWMzMpx6kKC+3TDlFoyEoogEBdSP+t0xRCGnQqFzvY9AaaOrXtNzddMTNaWSDkXg5ejH2r7Gsil9FtjGbz3t+LtMEXieOei33dQjjP+tOMPOv0wxsGnjl/zs6g21e+T9fgS1TodVo0OqvR7j/Sm/Q0nZgOJvmHefYSWfCcoo47eVM7NIlksiLm4Yk8kLcZA6kHSCzOBN3gzttAttcttze5UtIPnkcvYMTxUVdUBSFHvdEkf/THIoOHkTj6opzm8vXr2q74zP5eecZftTPxIliqN0J2jxkt3iE+Ce/2uEXTcGmqirnjx/DWFhAwuEDJBw+ULpO5+BAYN0Ihr87qXRZ/IG9oNHg5OaOTq9Ho9Oh1enQaHUoioKLp1dp2bj9e8jLSKcgO4uC7Exy09PISkokJzWF4MgGjBg/GQC9gyMOzi4YCwsIqFuf0EZNCW3UlOCohjf0CPyi+ugf3h8PgwfPb3ienUk7eXDVg0zvPR1vR297h3ZTGNUxjBmbTnHgbDZ7z2TRJrwcv/dW98PmKZBzFg4tgJb3VX2g5dCwczD71ySQm15MWJtRtFnzBSEFoFosKFrptiFufJLIC3GTuTBaffda3dFrLn1VPSPxLFsX/giAi09viovciGgbQJA2mfhpXwEQOO5t9CEh1yfo/2M0Wxi76DDDtRvpoo0GnSMM/VJGqRfVmqIoPPT5N6SfPUPSiWMknThO0slYspISMRuNmIzGMuXXzZlBdnLSJbflWzuc0VO+LFM2JyX5kmXzMzPKvL7jzQm4enmjM0iTZmEfHYM7MrvfbJ5Y+wRHM44y6s9RfN3na0Jc7fOZcjPxdXXg9pYhzN99lpl/nS5fIq93gs7Pwuq34K9PoNkI0No/hdDqNLQbXJd1c2NwbNYO33V6TCdPkbt8OR5Dhtg7PCGqnP3PQiHEdaOq6v/6x1+mWb3VamHV9KlYTCZCG7dA1bZEyTbSeXAtzo8aARYL7gMH4D548PUMvYyvN50mP/UMbzv+ZFtwy9vgU89u8QhRXhqtFv/wuviH16V5n4EAWMxmclJTMBmLy5T1DQ1DpzdQlJ+HxWzGajZhMZuxmM2oVmuZsqGNmuFTqzaunt44e3rh5u2DV3AIXkEhZe7cA3gGBFbtTgpRDo19G/P9gO95bM1jnMk9w+g/RzOr3yzC3KV7VFV7uGsd5u8+y+qjKZxOy6euXzlm2Gj9APz1KWSehujF0Oyuqg+0HCLbBhBQxx1Pf2fScx4k7bPPSJw2jdw6tQlt2sLe4QlRpWTU+kuQUevFjSo6I5oRy0bgqHVk0/BNOOsvbkq7Z+kiNv04G4OTM6M/noarlw/ZqUUYv55C9vwF6AICqPvH72g97DMo1am0fAZM3cwMzUfcoj0AIW3godUgox8LIUSNk1qYyiOrH+F0zmn8nPz4tu+31PWsa++wbngPz93N2phURrYLZeLtzcpXafMUWP8++DWAJ7ZXu1Zw1sJC9g3sz1ZfF7ROzjzy9fc4OMv4C6JmqUgeWr3OQCFElVoVvwqArrW6XjKJByjMywVFoceoh3H39UOj1eCUcoLs+bYB5YInTbRbEq+qKm8sOswgdTO3aA+gag0wdJok8UIIUUP5O/szu99sIrwiSCtK44FVD3Ai64S9w7rhPdHD1ortt72JpOQWX6H039o9Cg4ekHYMji2rwuiuTlaWleK+z+JgsmAsMbL7j0X2DkmIKiWJvBA3CVVVWR2/GrANNnQ53e4ZQ4v+r5CfUxeLydZ817F5cwLfGYfPo4/i0rHjdYn3Un7Zc47Tcad5R/89AEr318C/gd3iEUIIce18nHyY3Xc2Db0bklmcyYOrHiQmI8beYd3QWod50y7cmxKLlVlb4spXydED2j9me755ClSjRr35WcUs+GA3BxO8aXGHbYq8vSuWkJ+VaefIhKg6ksgLcZM4kn6ExPxEnHROdK3V9bLlkk/nELvTzL5VCZw7ngXYBunyGjkS/xdfuF7hXiQ938gHy48yQT8HT6UAAptB5+fsFo8QQojK4+noycy+M2nq25RsYzYPrX6II+lH7B3WDe3CXfmfdpwhp9BUvkodngC9CyQfghOrqzC6inH1ciSybQAASen1CIqIwmw0suO3eXaOTIiqI4m8EDeJlfErAehRqwdOOqcy69IT4vllwhuknT3HurkxqCpEtgvAt+AUlvx8e4R7kQnLjtK5ZAv9tbtRNToY9lW1mMtWCCFE5fBw8ODrPl/Twq8FeSV5PLL6EQ6kHrB3WDesHlF+NAh0o6DEwg874stXydkb2v491eumydXqrny7IXXQ6BTOH88hsuPtABxau5KMxLN2jkyIqiGJvBA3AatqLe0f369OvzLrLGYTf077jIQjh1g2dQbZKYU4exjo0NmZs48/QdzQYZjOn7dH2KU2xqay+cAx3tN/B4DS9SUIbGrXmIQQQlQ+N4MbM/rMoHVAa/JN+Ty25jH2JO+xd1g3JEVRSu/Kz9kaT1GJpXwVOz5tm/Y1cQ/EbarCCCvG3ceJZj1DATi+zYJ/biGqqrJp9gw7RyZE1ZBEXoibwKG0Q6QUpuCid6FLSJcy63YsWkhq/CkMzq4U5LcHoOc9kWS88wZqYSH6oCB0AQH2CBuAwhIzby05wjv67/FVcsG/EXR92W7xCCGEqFouehe+6vUV7YPaU2gu5Ml1T7I7ebe9w7ohDWoaRC0vJzIKSvhlbznvXLsFQKvRtuebJlddcFehdf8wHJx1ZGWY8fdrj8ZqRXv2HFZLOS9SCFGDSCIvxE3gQrP6nqE9cdA6lC5PPnmcnYtto9E7uvdBUVxo2CkIl00LKDpwAI2rK0GTJqFo7Tcq/OdrT9AgZwvDtNtQFQ0M/RJ0BrvFI4QQouo565358pYv6RzSmSJzEU+te0qS+Sqg02p4rJttur+vN52mxGwtX8XOz4HWAGe2QtzmKoywYhxd9LQdVAeAcz596RqbQuSWPZjiyjmgnxA1iCTyQtzgLFbLJUerN5UY+fOrz1CtVmo37YCV+rh6O9AqooD0GbZmaIHvvouhVohd4gaIPp/Dwi2H+UA/CwCl0zMQ0tpu8QghhLh+HHWOfN7zc0nmq9hdbULxc3MgMbuIJfsTy1fJIwRaj7E9X/9Bteor36R7CAF13Glza338unYCq5XUTz61d1hCVDpJ5IW4we1P3U9aURpuejc6BXcqXb51/g9kJp7FxdOLW597lhFvtaPPvXVJf/M1sFrxGDoEj1sH2S1ui1Vl7KLDjNX8SICSDT4R0GOs3eIRQghx/TloHcok80+ulWb2lc1Rr+XRrra78tM2nsRsKedd+S4v2vrKn90Bp9ZXYYQVo9VpuOPV1jTvFUrgSy+AVkvSti0sfXcspuJie4cnRKWRRF6IG9yFZvW31L4F/d+jvJtNJs4ePQxA38eexcnNHQ8/JzS/fYvp/Hn0oaEEvP223WIGmLstHs/zm7lbtwkVxdakXu905YpCCCFuKBeS+S4hXSi2FEsyXwXu7VAbL2c9ZzIKWXYoqXyV3IOgzd8j2G+oXnflFUUBwKFuXTzuupu9dQI5HnOY3UsX2TkyISqPJPJC3MBMFlPpaPUD6gwoXa7T67nn/Y9p0O0hDC71S5f7Pv0Ubn16Ezz5I7Surtc93gsSs4uYvno/E/XfAqC0fxxqd7BbPEIIIezLQevA1J5TyyTzu5J22TusG4azQcfDf9+V/3LDSazWciblXZ4HvTMk7q1W88pfEHconfWmXtS2egOwe+lv5Gdm2DkqISqHJPJC3MC2JG4h25iNr5Mv7YPal1l3NiaH+MMe/DF1PzlpRQDovL2p9cUXOLdsaY9wAVBVlXFLjvCs9SdClAxUzzDoZd/WAUIIIezvQjLfNaQrxZZinlr3lCTzlWhUxzDcHXWcTM3nzyPJ5avk6g/tHrE9r2Z35QHiD6WTk2Ekv/0LBEU0wGw08te8ufYOS4hKIYm8EDewpaeXAjCoziB0Gh3xB/aydeFPFGQXseHHYwA06xGC9mj1+SL055FkCo5v5H7dWgCUIV+AwcXOUQkhhKgOHLQOfNbzM0nmq4Cbo54xnW0jvn+x/gRqeZPyTs+BwRWSDsKxZVUYYcW1H1IXvaOW9LMF1Gl1OwBHN6/n/PEYO0cmxLWTRF6IG1SOMYeNZzcCMLjeYIrz81k143N2/DaPRR/NojCnBK9AZ+qlrOPsY4+TNH68XeMFyCkyMen3vXyk+8a2oPUDULe7fYMSQghRrVwqmd+ZtNPeYd0QHuwcjotBy7HkPNYcTSlfJRcfaP+47fn6D8BafeZsd3Y30GZgOAAx2y1ERDYBYN03X6JayzmonxDVlCTyQtygVsWvwmQ1EekVSaRXJGu/nUZ+ViYungHkZEag0Sp06aQle8Y0AJxb2X9at8krjzG6+EfCNKmo7iHQ5z17hySEEKIa+v9m9k+ve1qS+Urg6WxgVKdwAKaurchd+WfA0RPSYuDwL1UW39VofksongHOFOWZIMEbncVC6tkzHNu22d6hCXFNJJEX4ga19JStWf2QekOI3rSO2O1/oWi0WDV9UBQ9bfuFUPLRWLBacR8yGI/Bt9o13t3xmcTsWssDWtso+8rg/4Cju11jEkIIUX0ZtAZJ5qvAo13r4mLQcjQpl1XR5ewr7+QJXV6wPd/wAZiNVRZfRWl1GroOjwDgnHMbwtMtNDifQairp30DE+IaSSIvxA3obO5ZDqQdQKNo6OLcmvWzZwAQ1mwgqupPcIQngZu/xZSYiD4khEA7TzVXbLLw1q97mKL/Go2iQot7IaK3XWMSQghR/V1I5rvV6laazO9I2mHvsGo0LxcDD3ax9ZX/bM2J8o9g3+5RcAuC7ATY+13VBXgVajfyoU5zX1QVXJrdSd20bNInfSTN60WNJom8EDegC4PcdQzowI6ZszAZi6nVqAnDXn2I3g80ol3QWfKWLQWtluApU9C6udk13i/Wn2Bo9g/U0yRhdfGHfh/YNR4hhBA1h0Fr4LMen5Um88+se0aS+Wv0cJe6uDnoiE3JY8WRcs4rb3CG7q/Znm+aDMa8qgvwKnS5K4JBTzaj+5vDUJydKTpwgKwlSyjIzrJ3aEJcFUnkhbjBqKpa2qy+l2N70s8l4OjiyoCnXkKr1VE/ypH8j219z32fehLnVvabag4g+nwOWzev4VGtbaRbzeCp4ORl15iEEELULJLMVy4PZz0PdbXdlZ+69gSW8t6Vb3kfeNeDwnTYMb0KI6w4d18nwpv5og/wx/eJx8l2cmDhjzNZ9tmk8o8FIEQ1Iom8EDeYA2kHOJd/DmedM4M6jWDEu59Su/k9GBw9AdB6ehLyxX9wHzwY38ces2usZouVN3/dy0faGegUKzS5AxoMsmtMQgghaqYLyXz3Wt2lmX0leLBLndJ55ZcdOl++Slo93PKm7fnW/0BBRtUFeA2cbr+HwvCOFGkVzh2L5tiWjfYOSYgKk0ReiBvMohOLAOgT1gdnvTOHNxWQEOPKiumHSq84u3buTMiUySharT1D5dstcfRKnUuU5hxWZ18YMMWu8QghhKjZDFoDn/b4lO61umO0GCWZvwbujnoe7VYXgM/XnsBsKWd/8ka3QWAzKMmDzdXvcz0/q5h5H+wlNvAuGjXvCsDGH2ZRnJ9v58iEqBhJ5IW4geSV5LHy9EraR3vRS9OaE3tSiN2ZjKJA8/BcTGfP2jvEUnHpBaxZ8ydPaP8AQHPrZ7a5aIUQQohrcCGZ71GrhyTz12hM5zp4Oes5nV7Ab/vOla+SRgN9J9ie754JGaeqLsCr4OrlSHCEJ6oK+fpb8A4JpTAnmy3zv7d3aEJUiCTyQtxAlp9eTu14HQ3PuHPwq+/Z8MM+AJp38MA08WXibr+D4uPH7RwlWK0qb/26hw8109EpVtTGt0OjIfYOSwghxA3CoDXwSY9PyiTz289vt3dYNY6rg46netYHbH3li02W8lWs2wMi+oLVDGvfqboAr1LX4ZHoHLQkxxVQv/3dABxc8ydJJ2PtHJkQ5SeJvBA3CFVVWb57Ie2O2gaK8wy6BZPRAf/argT89j5qYSGOTZrgUK+enSOF+bvP0vHcLKI057A4+aIM/NjeIQkhhLjB/H8y/8z6ZySZvwr3dQgjyMORpJxifth+pvwV+7wHigZilsKZ6vV7d/N2pP1g22B+sdsguMAMqKz5+guslnJerBDCziSRF+IGcTj5ILU35aOzanAPqk9+biN0Dlpa5K3DdPwYWl/fatEvPjmnmN9XLONxrW1kfe1gaVIvhBCiakgyf+0c9Vpe6B0JwLSNJ8ktNpWvon9DaDXK9nz1m1DNRoZv1rMWvqGuGI0qevde6M0WdFnZGAsL7B2aEOUiibwQN4jlc7/AO8+A1VGLwWkgiqLQJqoQ8+LvQVEImTIZnZ+fXWNUVZV3F+/lPXUaOsWKtfEd0qReCCFElfr/PvPPrH+Gbee32TusGuX2ViHU93clu9DEN5tOl79ijzdA7wKJe+HIb1UX4FXQaDX0uKcBKJDi3pomKTpabNuPcracYwEIYWeSyAtxA4jeuRnD/hQAmt53FyPe7knH3j64fPsWAL5PPIFLx472DBGApYeSaHLya6I05zA7+aIZWP1GsxVCCHHj0Wv1ZZL5Z9c/K8l8Bei0Gl7uGwXArC1xpOYVl6+iWwB0ed72fO14MJWz3nUSUMedpt1r0aR7CHXaNkKxWkl6511UaV4vagBJ5IW4AWz5awkA5yKgX+97cXDWE7hvIWphIc7t2uH71JP2DRBIzS1m/pLfS5vU66RJvRBCiOuoNJkP/UcynyjJfHn1axxAi1BPikwWvlh3svwVOz4FbsGQkwDbv6i6AK9S1+ERdB8ZRa2xL6FxdSUvOpplY1/k6Ob19g5NiH8libwQN4ANUYlsapFGQJtepcuC3n0Hn8cfI3jKFLv3i1dVlTd/3cM7li//blIvo9QLIYS4/vRaPZ92/0cyv0GS+fJSFIXX+jcA4OddCZxMLee86wYX28B3AH99CjmJVRTh1VEUBQC9vz++L7xAvJ8vx8+cYsOcrynIzrJzdEJcniTyQtRgqqpyOO0w0ZlHORNoRLe2HglHMwFQDAb8n38efYC/naOEhXvO0vz0N/9oUi+j1AshhLCPC8l8z9CeksxXUMd6PvRuGIDFqjJxRUz5Kza9E0I7gKkQ1oyrugCvQX5WMX+lNCAz4ik8HZwpLixg/Zyv7R2WEJclibwQNdSJXdtY+ulEvt/zHQD1M1rRMMwHxz/noprN9g3uH85mFvL70iU8of0DkCb1Qggh7E+v1fNJ909Kk/ln1j/D1sSt9g6rRhg7sAE6jcK6Y6lsPZlevkqKAgM+AhQ48mu1m44OQKfXkplUQIHOl/BbnkLRaDi+YwsndslFHlE9SSIvRA2UlXyeVdM/58SubZzftguADoW9qbPqfTK/nUn6jOpxBdlqVXl74XYm8gVaRcXa9G5pUi+EEKJa+GcyX2It4en1T7M6frW9w6r26vm5cl+HMADeXx6DxVrOaeWCW/xvOro/XwVr9RpQztFVT7cRtgH9ju+y0qSn7fvK2m+/oig/z56hCXFJksgLUcOYiov545MPMRYWYPJx5XDdbILy6tL/zB6Uc/EYwsLwHj3K3mEC8N22eAac+w9hmlTMbiFoBkmTeiGEENXHhWS+b1hfzFYzr2x+hV+P/2rvsKq953pF4O6oIyYpl9/2VmC6tl7jwMEDkg/Bvu+rLsCrVL+1P/Va+mG1qmScjcBN0VKYk826b7+yd2hCXEQSeSFqEFVVWf3NF6QnxOPg4s6KRmdRNTCssDG6rX+iODkR8sV/0Lq52TtUTqbms2/V9wzXbURFQXfHTHD0sHdYQgghRBl6rZ7J3SZzZ+SdWFUr47ePZ9bhWfYOq1rzcjHwbK8IAKasjqXAWM4ufS6+0HOs7fm696Ago4oivHpdR0Ti6KInM82Cd34YiqqScGAv+VmZ9g5NiDIkkReiBtn/5x8c27oJjVaLuVNzstxy8TR70W3OYgCC3p+AY2SknaMEs8XKB/PXM0HzjW1B5+chvLNdYxJCCCEuR6vRMq7DOB5u+jAAU/dN5dM9n6Kq5Ww2fhO6v2MYYT7OpOUZmbahAtPRtX0YAppAUSasrX4D37l4ONDjXlsT+5RaQ4lMVekal4yTxr4zAAnx/ySRF6KGOHv0MBt/sN0h6Hbfg2zx3w3AwO15aFXwefghPAYNsmeIpWZsPMEDaZPxUvIx+TdF6fmGvUMSQggh/pWiKDzX6jlebvMyAHOi5/Du9nexVLO+3NWFg07LmwMbAvDtX3HEpReUr6JWD7d+Znu+/0c4U/0Gk6vXyp+oDoF4BToT4u6HLiWN5Anv2zssIcqoFon8tGnTCA8Px9HRkfbt27Nr167Llp05cyZdu3bFy8sLLy8vevfufVH5MWPGoChKmUf//v2rejeEqFI6gwEXTy+iOnbD0jKI2KxYHBQ9vaMVXLp1xe+FF+wdIgDR53PI3DiNbtrDWDQO6O+aBTqDvcMSQgghymV049G81+k9NIqGRScW8fKmlymxlNg7rGqpT6MAukf6UWKxMn5pdPlbMIS2g1ajbc+XvQgWU9UFeZW6jYjk7jfb0WDCi6DVkrtsGfu+nMqRDWvsHZoQQDVI5BcsWMCLL77IO++8w759+2jevDn9+vUjNTX1kuU3btzIyJEj2bBhA9u3byc0NJS+ffuSmJhYplz//v1JSkoqfcybN+967I4QVSaofhStB79KTnZH5hyYC8CQiGE0nTufkI8/RtHav8lXscnC5z//wauanwHQ9Hsf/KLsHJUQQghRMbdF3Man3T9Fr9GzNmEtT657krwSGbn8/ymKwrtDGmPQatgYm8bamEt/f7+k3u+Csw+kxcD2aVUW49UyOOrQ6bU4NW+O72OPkezhxoa/1rJu9nQyzydeeQNCVDG7J/KffvopjzzyCA888ACNGjVixowZODs7M3v27EuW/+mnn3jyySdp0aIFDRo04Ntvv8VqtbJu3boy5RwcHAgMDCx9eHl5XY/dEaJSqapKVpLtw+JcbBa7lqVyOieBLambUVC4r9F9OEZGonV3t3OkNpOXHeS53Ck4KiZK6vRCafeIvUMSQgghrkqvsF581fsrnHXO7EzayeiVo0kuSLZ3WNVOHV8XHu5aB4DxS6MpNpWzK4KzN/T9wPZ84yTIOlNFEV4bq1XlTL1BnGr6Bj4WDeaSEpZ/Phmzqfq1IhA3F7sm8iUlJezdu5fevXuXLtNoNPTu3Zvt27eXaxuFhYWYTCa8vb3LLN+4cSP+/v5ERUXxxBNPkJFx+VExjUYjubm5ZR5CVAe7lvzC9688w76Va1j1zRFUq8rxuisB6OnRhroede0c4f+sPZqC/95Paaw5Q4mDF4bbp4Oi2DssIYQQ4qp1COrAnP5z8HXy5UTWCe5Zfg9HM47aO6xq5+lb6hPk4ci5rCJmbDpV/orNR0BYFzAXwbIXoBoOLmi1WDm5Lw2jzh33di/i5OZOavwpNv906ZuOQlwvdk3k09PTsVgsBAQElFkeEBBAcnL5rni+9tprBAcHl7kY0L9/f77//nvWrVvHRx99xKZNmxgwYAAWy6WvEE6cOBEPD4/SR2ho6NXvlBCV5OSenWxZ8ANmUwn7V5+guMCExj+NQ64HABiZ08C+Af5DSm4xC375iUe1ywAw3DYN3AKuUEsIIYSo/hr5NOLngT9T37M+aUVpjFk5hs3nNts7rGrF2aDjrUGNAJi+8RTx5R34TlFg8FTQOsCpdXCw+nWF1em19H2oCTq9hqTTVuq3vweA/X8u5eSenXaOTtzM7N60/lpMmjSJ+fPns3jxYhwdHUuXjxgxgiFDhtC0aVOGDRvGsmXL2L17Nxs3brzkdsaOHUtOTk7p4+zZs9dpD4S4tLSEeFZ88TGoKp7B7SkubICjk8Kxoo+xaqBNYQDtR71i7zABW5Oz8fM28r71czSKiqXlKGhQPUbPF0IIISpDkGsQ3w/4ng5BHSgyF/HM+meYf2y+vcOqVgY2DaRrhC9Gs5U3lxwu/8B3vhH/m1t+5euQV/26L3gHu9B1hG1635P7nakTYHu+6qvPyE1Ps2do4iZm10Te19cXrVZLSkpKmeUpKSkEBgb+a92PP/6YSZMmsXr1apo1a/avZevWrYuvry8nT156jksHBwfc3d3LPISwl4LsLJZMfg9TcRGegZEUFXZAq1WofXo6mxsUAfDUkA9Qqkmz9a83nWTEufcJULIp8YpEO+Aje4ckhBBCVDo3gxtf9f6K2+rfhlW18sHOD/h498dYVau9Q6sWFEXhg2FNcdRr2Hoyg1/3nit/5Y7PQFALKM6xjWJfDZvYN+wURETbAFQrZOZ1xK2ohOKCfOIP7rV3aOImZddE3mAw0Lp16zID1V0YuK5jx46XrTd58mQmTJjAypUradOmzRXf59y5c2RkZBAUFFQpcQtRVUzFxSz+aDy5aal4BQUz7NU3CAhzp0nmStaHRGPWKbT0aU6bkPb2DhWA3fGZ5K37mG7aw5g1jhhGfg8GZ3uHJYQQQlQJvUbP+E7jeablMwDMPTqXlza+RJG5yM6RVQ+1fZx5vrftbvUHK2JIzzeWr6JWB0OngUYHscshelEVRnl1FEWhx71RePg5YXTwwcXQnTanzxNWXM7B/YSoZHZvWv/iiy8yc+ZM5s6dS0xMDE888QQFBQU88MADAIwaNYqxY8eWlv/oo494++23mT17NuHh4SQnJ5OcnEx+fj4A+fn5vPLKK+zYsYP4+HjWrVvH0KFDqV+/Pv369bPLPgpRXgfXrCDl9Emc3Ny57fV38Qnxpat2M4Zjf7C2le10faTFY3aO0iYj38jMH3/mRe1CALS3TgH/hnaOSgghhKhaiqLwaLNHmdR1Uun0dKP/HM35/PP2Dq1aeLhLHRoFuZNdaGLCsgoMDBjYBLq+bHu+4hXIr35N1g2OOvo90gS9o5bwxmH45RWR/PY4SuLj7R2auAnZPZEfPnw4H3/8MePGjaNFixYcOHCAlStXlg6Al5CQQFJSUmn56dOnU1JSwp133klQUFDp4+OPPwZAq9Vy6NAhhgwZQmRkJA899BCtW7fmr7/+wsHBwS77KER5tR40jGa9h9Hq1qfwCgwGwP/Zp1k9MoJiPTTwbkCXkC52jtLWL/7teZt5x/QpOsWKufGdKC3vt3dYQgghxHUzqO4gvunzDV4OXsRkxjBi2Qh2Je2yd1h2p9NqmHRHUzQK/H7gPBtiKzC3fNeXwL8xFGbA0ueqZRN7v9pujPqgE53eHoFLmzZYCws5/sILLBw/VuaXF9eVopZ7JIqbR25uLh4eHuTk5Eh/eXFdqKqKoijkZxn5bfIe8rOM9Ly/AY06B5NelM7ARQMpMhfxec/PuaX2LfYOl6/Wx9Jkw0N00x6mxKMuhic3g4ObvcMSQgghrruk/CSe2/AcMZkxaBUtL7V5ifsa3ldtxrKxlwnLjjJrSxzBHo6sfKEb7o768lVMPgzf9ASrCYZ8Aa1GVW2g18CUksLx20eyx0NLupsDPrVqc88Hn2BwdLJ3aKKGqkgeavc78kLc7GK2bGT555MpzClk2ZcHyM8y4uZoxn3nYlRV5euDX1NkLqKZXzN6hva0d7hsO5mOdf2Htn7xWicM9/wkSbwQQoib1oUR7W+teysW1cLk3ZN5Y8sbFJuL7R2aXb3UN5IwH2fO5xQzYWlFmtg3hVvesj3/83XIPF01AVaCPIsrezu+hdXrdpwcnMg4l8CqGf8p/4j9QlwDSeSFsKO4/XtY+dVnxG7/i18+/J6MxAKcHFSabHyPvG++5Pja3/j1xK8APNfyObtf3U/MLmLhzzN5WrcEAO3QLyCgkV1jEkIIIezNUefIh10+5LW2r6FVtCw7vYxRf44iKT/pypVvUM4GHR/f1RxFgV/2nmPt0ZQrV7qg0zMQ1hlMBbDoMbCYqy7Qa6AzaChRdRS6RVGr1YNotFqOb/+LvcsW2zs0cROQRF4IOzl/PIY/Pp2I1WLBI7AFedkR6HXQZMcUnIoz8LrnHr5z3IvZaqZTcCfaBbWza7zFJgvjv1vKe5b/AGBu+yhKs7vsGpMQQghRXSiKwn2N7ivTb374suE3db/5tuHePNq1LgCvLzpMVkFJ+SpqtDBsOhjc4Nwu2PJZFUZ59dx9nej3UBMUBc4ecyCyk+170eaf5nB63247RydudJLIC2EH6QnxLJ40HnOJEQ//BhQXd0erVWhycDpuOWdwHzKY3KfuZvnp5QA82+pZu8arqioTftvFC5nv4a4UYgxqi67fB3aNSQghhKiO2gW1Y/6t82no3ZAsYxYPr36YaQemYbHenNOUvdAnkgh/V9Lzjbz9+5HyV/QKg4FTbM83ToSEHVUT4DUKbeRNh2H1AIg/EkSA2RlVVVn2+UeknYmzc3TiRiaJvBDXWXZKMr99OI7ignyCIhrQtPfDKIqWhid+wivtCK69ehH84Yd8eXAaKip9wvrQ2KexXWP+cUc8XaPfpqHmLCWOfjiM/AF0BrvGJIQQQlRXwa7BzB0wl2H1h6GiMuPgDB5a/RDJBcn2Du26c9Rr+fTuFmg1CssOJbFkfwVGdm8+AprcCaoFfn0QCjOrLtBr0LJvbRp0CAQU8rzux7PQgquqwdFNxhASVUcSeSGuI6vVwpLJ75GflYlPrdrc9vo7tOkRRMeYzwk4uw2XTh0J+fQTdqftY8PZDWgUDU+3fNquMW87mU72ivfor92NRdFjuHceuAfZNSYhhBCiunPSOTGh8wQmdZ2Es86ZvSl7uWvpXWw6u8neoV13TWt58OwtEQC8teQIZzIKyldRUWDwVPCuB7mJsPhxsFqrLtCrpCgKPe5tQHCEJ1adCw7O/Wm75wimZSvsHZq4gUkiL8R1pNFo6f3wk3gGhjH0lXdxcnVD6+FB3efG4NSmNbW+/BKrXsvEXRMBuDvybup61LVbvHHpBSz+8Uue0S6yxT/kcwhta7d4hBBCiJpmUN1B/DL4Fxp6NyTbmM3T65/mo10fUWIpZ3/xG8RTPevRLtybfKOZZ+btp8RczoTcwQ3ungtaBzixCrZ/UbWBXiWtXsOAx5oS1SGQW3q6o7OqpEycRN66dSQeO4paDS9AiJpNEnkhroN/TkOSm+lNUfHtrJubgLnE1l/O8/bbCPv+ezTOziyIXcDJ7JN4Onja9W58TpGJSbPn8546DQBz+6dQWt5rt3iEEEKImqq2e21+HPgj9ze6H4AfY37k/j/vJyE3wc6RXT86rYapI1rg6azn0Lkcpqw6Vv7KgU1hwEe252vHV9v+8o6uenqPaUTQY2PwHD4cVJVNH7zL/HdeZcP3M2VaOlGpJJEXoooVZGex8L2xpJ2J4+iW82z44RiKouAcuw015399vRSNhsziTKYdsCXOz7R8Bg8HD7vEbLZYGff9SsYXTMBJKcEYfgu6fhPsEosQQghxIzBoDbza9lW+vOVLPB08OZpxlLuW3sXC2IU3TYIX7OnElDubAzDzrzg2xKaWv3LrMf/rL79wNORW36n9FEUh8O23SOs2hiz3FgDs/3Mpu5b8Yt/AxA1FEnkhqlBeZjoLx4/l3NEjLJ78Eet/iAEgNG0b4dumkzplSpny/9n3H/JK8mjo3ZA7Iu6wR8ioqsr7i3byROJYApUsir0icRg+xzYVjBBCCCGuSffQ7vwy+BfaBLSh0FzIhB0TeGzNYzfNQHh9GgUwplM4AC8tPMj57KLyVbzQX96vIeQnw8L7wWyssjivVXa6kSPatuQG3kadZkMA2DL/ew6tW2XnyMSNQhJ5IapITmoKC959nczz53B09cJY0gdFUQhN3Ur96J9watqUwLfeKi0fnR7NohO2vuhj249Fa6fE+au1x+h16GUaaM5S7OiH4+hF4ORpl1iEEEKIG1GgSyCz+s3i1bav4qB1YHvSdm77/TYWn1h8U9ydf31AA5qEuJNZUMLjP+6l2FTOqfkc3GDET+DoAed2w/IXoZr+vrwCXeg2MgqApLP1CW/ZH4C1M6dxYtc2e4YmbhCSyAtRBbKSElnw7uvkpCTj5O6LqrkDjdaL2kmbqH/0Z5ybN6f2rG/RursDYLaambBjAioqg+oOoqV/S7vE/cvuBPw3vUpX7RFMWiccR/8GnqF2iUUIIYS4kWkUDfc3up9fB/9Kc7/m5JvyGbdtHE+te4qUghR7h1elHPVapt/bGq+/+8uP+/1I+S9g+NSDO+eAooH9P8Lub6s22GvQpFsI7QbXASApriFB/pGoqpXl/5lC/KH9do5O1HSSyAtRydLPnmHBu6+Tl5GGd3AtBr84AUcnN2onrqde7EJcO3Wk9uxZpUk8wPdHvyc6Ixo3gxsvtn7RLnFvjE0l7Y+3uUu3GSta9MO/h6DmdolFCCGEuFmEe4Qzt/9cXmz9IgaNgb8S/+K2P25j6amlN/Td+VBvZ74Y2QqNAgv3nOOnnRUY+K9+L+g93vZ85etwuvpO6ddmYDhNe9ZCURSyjP3wLNJhMZlIPXXC3qGJGk4SeSEq2Y7f5lOQnYVf7XCGvzuJWvUD6RA/k3onfsO9T29qzZiBxsWltPzpnNNM228b4O7Vtq/i7+x/3WPel5DF7p/G86R2iW3BrZ9CZN/rHocQQghxM9JqtDzQ5AEWDl5IE58m5JXk8caWN3hi7ROczT1r7/CqTJcIX17r3wCA8Uuj2ROfeYUa/9DpGWh6N1jNsOB+SI2poiivjaIodL0rggYdAkGjpzjwcRolFRGyfY9MSSeuiSTyQlSyXg8/hU/t9nQa+SrOHp4oej1R0z/B58EHCfnsMzQGQ2lZi9XCuK3jKLGW0Dm4M0PrDb3u8R49n8uS2ZN4RfMjAOae49C0GXPd4xBCCCFudvU86/HDwB94tuWz6DV6tp7fym1/3MbXB7++Yeedf7RbXQY1C8JkUXnsh70kZBSWr6KiwJAvoHZHMObAj3dW25HsFY1Cz1ENiWofSIumBsIzUsj9YylJ48ZhLMgn6WSsvUMUNZCi3shtdq5Sbm4uHh4e5OTk4P6P5s9CXM65mCOENGiMucTK6lnRxB9Kx2CAUZO64uCsv2y9H47+wOTdk3HRu7B4yGKCXIOuY9RwKi2f6dM/4yPLJ2gVFVOHZ9D3m2D7cBRCCCGE3ZzJPcP7O95nR5JtzvRw93De6vAW7YPa2zmyyldYYubur7dzJDGXun4uLHqiE57OhitXBCjMhFl9IeMEBDaDB/4EB9eqDfgqqaqKoijkLFvO+VdfxYTK/jZNyMbCba++Q+0mzewdorCziuShckdeiGugWq1smf8DC959na0L5rP4k33EH0pHo5ppsO9rSnb8ddm6CbkJ/GfffwB4sfWL1z2JP5tZyPSvp/Gh5TO0ikpJs3sliRdCCCGqiTD3ML7p8w2Tu03G18mX+Nx4Hl79MK//9TrpRen2Dq9SORt0zBrdlmAPR06nFfDYD3sxmss5kr2zN9z7Czj7QvIh+GUMWExVGu/VUv7+juVx6yD8Jk7mcNMnKckpwWw0smjSO5zcvcPOEYqaRBJ5Ia6SyVjMss8ns3PxAgAObzxDWkIeBmsRLfdPxS8vFi7T96nEUsIrm1+h2FJMu8B23Bl55/UMnbOZhXwx4ws+NH2EQbFgjBqKYdgXksQLIYQQ1YiiKAyoM4A/hv3ByAYjUVBYfno5QxYP4eeYnzFZq2fCejUC3B2Z/UBbXB107IzL5PXfDpd/sD/vOnDPQtA5wck1sOgRsJbzQoCdnHFoTLZXI4yBT+AX3hyLycQfn35I9KZ19g5N1BCSyAtxFfIy0pn/zmsc37EFRaPF0aM/VtrhbEyj1a5JeGuzCZv7HW69e1+y/md7P+NoxlE8HDz4oMsHaJTrdyqeySjg8+lfMsE4GYNioThyCA53zwY7zVsvhBBCiH/nZnDjjfZvMG/QPBp6NyTPlMfEXRO544872Hxu8w0zun2DQHe+urcVWo3C4v2JTPrzWPn3rVZrGP4jaPQQvRj+eOayN1Sqg1Z9w/4ezV5PbnZPAuq1R7VaWfnVZ+xdvsTe4YkaQBJ5ISoo6UQsP73xAqlxp3Bycyey0+OgaYRnzkla756MV6gX4QsX4NSixSXrr0tYx48xtoHl3u/8PoEugdct9rh0WxL/QclHOChmiiMG4zh8Nmh11y0GIYQQQlydxr6NmTdoHm+1fwsvBy/icuJ4at1TPLbmMY5nHbd3eJWiW6QfE29rCsDXm08zbcPJ8leO6A13zgZFCwd+gpWvQTW9yKFoFLreHUG7wXVQFA3ZGZ3w0oUBsPH7byWZF1ckibwQFVCcn8+vH7xFQXYWvqFh3Pvhp3Tv4E/d03/Q4sAXePfsRPj8eRhCQy9ZPyk/iXFbxwEwqtEoeoT2uG6xn0zNY9b0yXxk+juJjxyM44g5oL38YHxCCCGEqF60Gi3DGwxn+e3LeaDxA+g1erYnbeeupXfx7rZ3b4j+83e3DeWtQQ0B+Hj1ceZsjSt/5UZDYNhXtue7voE146pvMq8otB1Uh24jIlEUhULX23G31EWvQq3gS3+XFOICGbX+EmTUevFvtv3yGzFbdnHvB2/j6GobFTVp/Hh0vr74PvEEiubS18dKLCU8uOpBDqYdpKlvU+b2n4v+OiXR+xKy+HPO+4y1zkKjqBQ3vB3HO7+RJF4IIYSo4c7mnWXq3qmsPrMaAGedMw83fZh7G96Ls97ZztFdm6lrjzN17QkAJt/ZjLvbVCC53T0Llr9oe97+ceg/qVqPBXRiTwrr5kSjNebTbN9HeDlrCP16Bk6NG2Mxm9Dq5DvbzaAieagk8pcgibz4p6ykRCxmM76hYZyJzmDNrGiKC0y06RVIh7sbA/+bTuRyVFXlra1v8cepP3DTu7Fw8EJqudW6LvFvOJbCgZ/f5gWNbVC+4pYP4jj4E7jMBQchhBBC1Dz7U/czeddkjmQcAcDb0ZtHmj7CXVF34aB1sHN0V0dVVT5YHsO3W+JQFJh0e1OGt61d/g3s/haWv2R73mo03PpZtR4TKOlUDtbsLIzvPY8xNhbFyQnr00+w7cAOhrz0Jv7hde0doqhikshfI0nkxQXHtm1mzTdf4uzuQf2Oz3JkUxoAbrlnaO+0n8iZUy97B/6fZh2exdR9U9EqWqb1mkbnkM5VHToAi/fEk//7K9yvtV2lN3V+GX3vt6r1FWkhhBBCXB2ramVF3Aqm7Z/GufxzAPg7+/NYs8e4LeI29Jqad1dXVVXe/v0IP+5IAGD8kMaM7hRe/g0c+Bl+fwpUKzQbDkO/qvZjA1ny8kh8/gXijuUQ419CgcGCzsGBvo88TcOuPe0dnqhCkshfI0nkhbGwgHWzZxDz1wYAHFxqg24AisaFkMRN1D+1CJ/hdxI4diyKwfCv21p3Zh0vbHwBFZU32r/ByAYjqzx+q1Xlq1X7abzteXpqD2JFQe37AdpOT1X5ewshhBDCvkxWE7+f/J0ZB2eQUpgCQC3XWjzR4gkG1RmEthrflb4UVVV5f3kMs7bY+sqPHdCAx7rXK/8Gjiz6e0o6M0T2tw2IZ3CpomgrR2ZiLgvf34nZYsKgXUVe5ikAmvcZSI/Rj6DT17yLMuLKJJG/RpLI39zOHYvmzy8/ITctFRQFg0sHFF079BYjDY/9SEDRSQLfG4/HoEFX3NbRjKOMWTmGInMRI6JG8GaHN6s8/qISC+/PW8N9p16moeYsJo0D2jtmomk8tMrfWwghhBDVh9Fi5NfjvzLz0EwyijMAqONRh0eaPsKAOgPQaar3nel/UlWVT1Yf58u/R7F/5pb6vNgn8l+7NpZxbAX8+gCYiyGohW3eebeAqgv4GlmtKruWnmbvn2dQVSsOjvvITd4MQGC9CAa/MBZ3P387RykqmyTy10gS+ZuT1WJh64If2P3HIlTViod/AJ2GjmHTr8W45cTT+OgcvJvVJ3jSRPQhIVfc3umc0zyw8gEyizPpFNyJab2mVfkHZkpuMZ/O+p6Xsj/AX8mmyMEXp1ELIaR1lb6vEEIIIaqvQlMh847NY/aR2eSW5AIQ4hrCA40fYFjEsBrVh37ahpNMWRULwO0tQ5h0RzMMunKO+3N2N8wbDoUZ4FEb7vsV/KKqMNprF384nbVzjmIsNKNR4yjJXIJZo+Lo6saYT77CxdPL3iGKSiSJ/DWSRP7mpKoqSya/x+l9u2ncvRc9xzyGHtg/4imc4vYT8MJzeI8ZXa4+8WfzzjLmzzGkFqXS0Lsh3/b7FndD1f4tbT+ZzpafP+R5y3foFQuFnpE4j1kEnjJ9iRBCCCEgrySPBbEL+OHoD2QWZwLg6+TL/Y3u5+7Iu3E1uNo5wvKZvyuBN5ccwWJV6VjXhxn3tcbDuZxNzTNOwU93QeYpcPSAO2bb5p+vxnLTi1j5zRHSEvJQLbmQ9TNBLlqGffE1WslVbiiSyF8jSeRvHsbCQlTViqOLK/lZRjZ8v4u4gzHc+dodBEf5AFAUHY2i0+MYFVmubSYXJDNm5RgS8xOp51GPOf3n4OVYdVdLrVaVWRui8d34GrdptwBQEDEElzung0PN+EAWQgghxPVTZC5i8YnFzImeQ3JBMgBuBjdGNhjJvQ3vxdvR284RXtmm42k8+eNeCkos1Pd3ZdboNoT5lLPfe0EGzB8JZ3cCCtzyFnR9qVoPBmw2Wdi+6CSHNiQSenY1deL+wCkomKCJH0JkBFlJidRq2MTeYYprJIn8NZJE/sanqirHtm1m84+zqd2kOUFRd7JraRwmowVFtdAqPIcOY++s8HZTC1N5cNWDnMk9Q5h7GHP6zcHP2a8K9sAmu7CEz35awsiz79FAcxYLWiy9x2Po/HS1/jASQgghhP2ZLCaWxy1n9pHZxOXYBpIzaAzcWu9W7m14L5Fe5buJYS9Hz+fy4He7Sc4txs1Rx9ThLejVsJz93s1G+PNV2Pud7XWDW2HYdHCs3t/9z5/Ixj3/DMmvvIzp3DmKHDw51qYeSQU5tOo/mM7D78Pg5GzvMMVVkkT+Gkkif2NLjT/Nhu++4VyMbZ5VrcELnfM9KIoD7jmniTo+n6AODaj15RflH0AFiMuJ4/E1j3O+4DzBLsHMHTCXQJfAqtoN/jqeyq4FE3na/AMOiokigw+OI+ei1OlaZe8phBBCiBuPVbWyPmE9sw7PKp2HHqBdYDvua3gf3Wp1q7Yj3afkFvPEj3vZl5ANwLO9IniuVwRaTTm/w+2dCyteBksJeNeDO76FkFZVF3AlseTnkzJpMmtO1SaXw5RYbaPau/r40uvBJ6jfpr2dIxRXQxL5aySJ/I2pMDeH7b/+zMHVf6KqVjRaPRp9W7SObdCbjdQ7vYTa5pMEvPwi7kOGVCiJP5x2mCfXPUm2MZtw93Bm9JlBiOuVB8S7GsUmC1/+sZXWB96ip/YgALmht+A+/Btwrbq7/0IIIYS4samqysG0g/wY8yNrz6zFoloA29R19zS8h9vq31Yt+9GXmK28v/wo328/A0C3SD8+vqsZ/m6O5dvAub2w8H7ITQSNztbUvtOzUE0vXlyQnVLIokk7KCoCiykexbKRkiLb2AcR7TrRc8yjuPn42jlKURGSyF8jSeRvPGejD7F48gRMxUUARHbogrexFgfiAglM3klEwjIC778bn0cfRetasXlFtyZu5YWNL1BkLqKxT2O+6v1VlfUt2xOXwfoFn/Fo0Ww8lQJMigG1z/sYOj4qTemFEEIIUWmSC5KZd2wevx7/tXSkeyedEwPrDOTOyDtp7NO4Qjc9rodF+87xxuLDFJuseLsYmHh7U/o1LmfryMJMWPY8HP3d9jq8q62pfTUfNNhYZGbH4lMc+SsR1WoC8y6MeTtBAZ2DA3e88R61GjS2d5iinCSRv0aSyN948nPymP3sIzh7+ND30Uep3aQ5xSdOcHjkEwS2b0DAa69iqF27QttUVZUfjv7Ap3s/xaJa6BDUgak9p+Kir9iFgPLIKTLxze/r6BA9ga5aW5O3PK/GuI34FgIaVfr7CSGEEEKAbWC8ZaeX8dPRnziVc6p0eZRXFHdE3sGguoOqfGaeijieksdz8w8Qk2S7+DC8TShvD26Eq0M5pgBWVTjwE6x4FUwFYHCFXuOg7cPV/u588ukcNv50jIzEAqyWNKx5K9FbM7j3udfx6NzJ3uGJcpJE/hpJIl+zmYzFHF6/mjOH9nPr828S/dd59q2MpyAnDWe9E2M+749Wb5tCriQhocIJPNjmY31n2zusjF8JwOC6gxnfaTx6bTmnPiknVVVZvj+ehGUfMcayCGfFiEkxYO42Fqduz4K2auelF0IIIYQA23eSfan7+PX4r6yOX02JtQQAR60jfcP7cmfknbTwa1Et7tIbzRY+XXOcbzafRlUh2MOR94Y2oXejcg6El3EKljwJZ3fYXtdqC4P/U+1vnlgtVqL/SmTnb7E4ZJ2l8YFPcDJbcOnSBd/nn2XD+pU06NyNuq3aVYvjJC4mifw1kkS+ZjIWFnJwzQr2Ll9CYU42AK6+d2C2hAHgWJROeMIqOs96C8e6da76feJz4nlh4wuczD6JTtHxctuXuafBPZX+D/FAQharf/uWkVlfE6pJAyAnoAMed38FPvUq9b2EEEIIIcorx5jDstPL+PX4r5zMPlm6PNQtlFvr3sqguoMIcw+zY4Q2O05n8PIvBzmXZeta2b9xIO8OaUygRzn6zlutsHc2rHkXSvJsfefbPw7dXgEnzyqN+1oZi8zkJ6Zj+nkmWQsXYlZ17GnQg0zdCQAC6kbQ6a57qNOyjST01Ywk8tdIEvmaJTslmf0rl3Jkw2pKimz/qBWNO1rHdmgNjXA05lLnzJ+E++Tj//gjuN5yC4pGU+H3sapW5h2bx9S9Uym2FOPr5Msn3T+hVUDljmx6LquQ335fTNtTX9JJexSAPEMADgPfx9D8LukLL4QQQohqQVVVDqUf4rfjv7EyfiVF5qLSdU19mzKo7iD6hffD18l+A64VlVj4fN0JZv51GotVxcWg5cme9XmoSx0c9eVoLp+TCCtegdjlttfOPtDzDWg1pka0jCxJSOCvj/8kprgW5uI9WE0HbH3pgcB6EbQdcgf123VEU827DtwsJJG/RpLI1xyp8af54fXnbH2aAO/gWoT7RRJ9pimuhamEnl1H3doq/o8/gnPHjld91TExP5FxW8exK3kXAO2D2jOxy8RKnSM+KaeIX5avpPGx/9BLsw8Ak2LA2O5pXHu9DIbK73svhBBCCFEZCk2FrD+7nuWnl7P9/PbSEe+1ipYOwR0YED6AHqE98HDwsEt8MUm5vLH4MPv/nqYu2MORl/tFMaxFCJryTFV3Yi2segPSY22vfaOg51hoOBSu4gbR9ZSdWsjOeQc5dawIq6UQc/FurCUHUVUzAB7+Adw38XMcXavfjAQ3G0nkr5Ek8tVXfmYGaQnx1GnRGmOhiWM7ktg45x2cnN3o88Rowpu1xFpQwJ6hDxPSKgyfUffh1KzZVb+fyWLi52M/89WBryg0F+Kkc+LF1i9yd9TdaJTK+ad9LquQFSuXUzvmG/prbBcKLGjIjrwTn4Fvg2fF+/ALIYQQQthLRlEGK+NXsvz0cg6nHy5drlW0tA1sS+/avbml9i2VekOkPKxWld8PJjJlZSznc4oBaBjkzrO31Kdf48ArJ/QWM+ydAxs+hL+necO/MfR4DRoMrv4JfUoh+1adIXZXMpaSfMzGA1iL9+NtNTH07lF43HorGicn8rMycfWqmhmYxL+TRP4aSSJfvZiKizm1dycxWzYSd2AvWr0DEW1f5kxMPlargqqacFBNPDh9IFqt7R+otagIjZPTNb3v5nObmbx7MmdybXOStvRvyfud36e2e+Uk1kfOZbN55XxaJcylg+Zo6fL08FvxvXU8+NavlPcRQgghhLCXM7lnWHF6BWsT1nI863jpcgWFZn7NSpP6yvp+VR7FJgtztsbz1YaT5Bltd6UjA1x5+pYIBjUNQnulhL44B3ZMh+3TwGgbHR+/BtDxKWh6N+jLOX+9nRTmlnDg92iit6XimbqXuifm4VxiRuPuTmG/u9l4ajNBEQ1o1rs/Ee07oTc42Dvkm4Yk8tdIEnn7M5tMJBw+QMyWjZzasxOTsbh0naILQe/cD43WE5eC84QkbaVePR3hUydfc/IOcDDtIF8d+Ipt57cB4OPow3OtnmNo/aHXfBfeaLawbl8saX/NoUvOUuppkgAwoyWj7lD8+72CUs1HRBVCCCGEuBoJuQmsS1jH2oS1HEo7VGZdbbfadA7pTJeQLrQJaIOz3rnK48kqKGH21ji+2xpfmtDX8nJidMdw7m4TiofzFWYjKsqC7V/ZkvqSPNsyFz9o+wi0Hg1u5ZzD3k5MJRaMqZkYVy8ja948sjItbG9+N6aCZYAtRTQ4OVG/bUcadulB7SbN0WilL31VkkT+Gkkib387F//ClvlzS197+AfgUOBOtrYTDhY9Aal7qG1Iolbf9njeNhR9QDmnE/kX+1L2MePgDLYnbQdAp9Fxf6P7ebTpo7garq3P0LGkbPZuWopb7K/0tW7FUbENMlKscSK/8b349n4BPGpd8z4IIYQQQtQEKQUpbDi7gbVn1rI3ZS/mv/trAxg0BloHtKZzSGc6B3emnme9Kh1dPafIxHdb45mzLY7sQtt3NCe9lttahTCibShNQzz+/f2Lc2DvXNj5NeSesy1TtBA1AFqNgvq9q/089KrVyuEfN7F9WwkmqxGLMRpLyWFUa25pGSc3d257/R2C6kfZMdIbmyTy10gS+etDtVpJjT9N/MF9xB/aR1SnPugNkZzeHs+50+cpzF1EeIPmdLr3DgLrR3L+1z9J+HEpdXpE4TloII6RkdccQ4mlhDVn1jD/2HwOpB0AQKfoGFxvMI80fYRQ99Cr3vb5rEK2btuE9dAvdC3eQLCSWbouzTkCQ4dH8Gh/Dzi4XetuCCGEEELUWPkl+exK3sXWxK1sSdzC+YLzZdZ7O3rTOqA1rQNa0yagDfU966OtgsS4qMTC7wcS+W5bPMeS80qXRwW4cWfrWgxtEYy/+780m7eY4OjvsOsbOLvzf8vdgqDJHdDkdghuVa1nIDIZLcQfSuf47hTOHEnHUpKIpeQYlpLjYC1iiKM3Pr1749K1K+cyUjEZi6ndtAXO7vYZxPBGI4n8NZJEvmqoVivp5xI4F3OEczHRnD1ykKK8/13l0+gjMbjeaiurquhLcmlRv4j2b95jW2axgEZTKVdk43LiWHpqKb+d+I3MYluCrdPoGFZ/GA81eYhabhW/O66qKieSczi0Yw3a48tpVbCVME1q6fpCjQuZ4YMI7PYgurAO1fqfuBBCCCGEPaiqSnxuvC2pP7+FPcl7MFqMZcq4Gdxo5d+K1gGtae7XnIY+DXHSXXv3yn/GsP10BvN3nWVVdDJGsxWwfXVrG+ZN/yaB9G8SSLDnv7xnagzs+wEOzvvfwHgAXuHQaChEDoBabav1FHbFBSaOrzvOib9Ok5FtpfHe8XgX2qYYPFl3KPHuiZSoWaAoBNSpR1jTFoQ1a0lQZAPpV3+VJJG/RpLIV47ignyKcnPwCgrBalVJPpXCvLce4UKfGwC93oCFUDT6cDTa2ngWZOFbcIrQ2nqCOzfG7ZYeldJsHiC5IJlV8atYEbeCoxn/G1zO38mfO6Pu5M6IOys8empOoYl9h4+QcXglXkl/0cp8EC8lv3R9CQZSArrg3eE+XJoMqvaDnwghhBBCVCcllhKiM6LZm7KXPcl72J+6n0JzYZkyGkVDPc96NPFpQhPfJjT2bUykZyR67RX6uJdDTpGJ5YeS+HXvWfb9PXXdBY2D3eke6UePKH9a1vZEr73EWEpmI5xcC0cWQewKMP0jdicvqN8H6veCOt3APfia460qFrMVS1IieWvXkb95E2st/chTjmM1nUa1pJcpqygawhs35fa3P7BTtDWXJPLXSBL5ilFVlYLsLNLOxJEaf5q0M3EknThBbloSLq7BeHkMIavQgAUdxtz5OGhVWg/rRa3GTQmoXYe193yIj6+WWs2D8erWAccmTVAqYSANs9XMkfQjbD63mc3nNhObFVu6Tqto6Rjckdvq30bP2j3Ra8r3jz45u5CY6P3kxP6FS/JuIo2HCFNSy5QpVFxIDeqBV+vb8Wg6QOZ/F0IIIYSoJGarmdjMWPak7GFvyl4Opx8mvSj9onJ6jZ5Ir0jqe9YnwiuC+p71qe9ZH39n/6tu3Xk+u4iVR5L580gSe85k8c8sys1BR+twL9rX8aFdHW+ahnhg0P1fYl9SACdWQ+yftp9FWWXX+9SH8K5Qu4Ptbr133WrZglNVVVKOpRK3OZaUAlfOn0jEXHwGi/kMVlMCqAUE5OTTvljBqVkzsmq3ZfepjfjUq0NQRBT+4XXxCa2Nq5dPlY59UBNJIn+NJJG/NFOJkeyk8xTm5hDWtAXF+SYyz2az7PM3ycs6f8k6isYHg/soFEVBay7GLS+eYD8rPb98urSMarWiVMK8m0XmIo5lHrNdsU3Zw4HUAxSYCv4XCwot/VsysM5A+oT3wdvx8vNjWqwq51IzOX/6CNlnDkPyYXxzo4mynsJdKXsV2IKGJJeGmMJ7EtR6EI5h7ap1MykhhBBCiBuFqqqkFqZyJOMI0enRHEk/QnRGNLkluZcs72Zwo75nfep51iPcPZxQt1BC3UKp5VarQs3z0/KM/HUijU3H09h8PI2svwfJu0CvVYgMcKNJsAeNQ9xpHOxBwyA3nA1/f0e0mOHcbjixCk5vgqQDoFrLvomzL4S0hoBGtvnqAxqDbwRUQkuDymQusZASn0v86n2cP56JLjOWkOhfcSsyYlU0bOz0LsX5cy+qp9Ma8PTxp3GPHrS5Y0TpclVVb9oEXxL5aySJPBzfuZXkU6cozM4kLyON7JQkctNsd54VxQE3j4coUWzNxEvyFmE1n8E7OAS/8Lr4hdUhZuExtBYPvPVGfPwMBET54dc6EqeGDdG6XtsdaovVQlJBEvG58cTnxBObFUt0RjSns09jUS1lyroZ3Ogc3JlutbrROaTzRcl7XlEJKcnnST17nPzEGEiLxTXvFEEl8dQmBa1y8elhxECySwNKanXEt1EPvKK6gOPN+XcihBBCCFHdqKrKubxzxGbFciL7BCezTnIy+yRncs9c9F3xn/yd/Ql1C6W2W22CXYMJcA4g0CWQAJcAAp0DLzslnsWqEpOUy664TNsjPpPMgpKLymkUqOvnSsMgd+r4OBPm40LY3z99dYUoZ7ZD/BY4twuSDoLl4m2g0YNv5N/JfSPbXXvP2ra+905e1eYOvrWggKLoaLL2RrPpkBPZJQWYLelYzSmolnRUaxYXutvWSc2mSaEZXa1QDvndQlz2Klx8AnDz8cMzMBCfQH88goJx9/PDMzAYJ9cbd6DoGpfIT5s2jSlTppCcnEzz5s354osvaNeu3WXL//LLL7z99tvEx8cTERHBRx99xMCBA0vXq6rKO++8w8yZM8nOzqZz585Mnz6diIiIcsVzoyTyVoulzFyP8QcPkJZwFnNJPkW5uRTmZJN6/AzFBfmYzSWEBtxFsRGMZh3Z+auwmBMu3qjigKLxwuB2F4qix6E4E8fis3i76xj4zTOlxYxxcegDA695XveE3AT2puzlTO4Z4nPjOZN7hoTcBEqsl/jHhm3O95b+LWnp34pI14Z4lzhTlJVKYXYqxZnnseacxZCXiHNxEj7mFALV9NKp4C4lT3EhzbEOJd5ROIS1IbBhJ5yCm8gddyGEEEKIGqbEUkJcThynsk9xMvsk5/LOkZCXQEJuAnmmvCvWdzO4EeAcQIBzAN6O3vg4+eDt6P2/h5M3Po4+uOpdycxTOJqUS/T5XI4k5hB9PpfUPONlt+1i0FLbx4Uwb2cCPRwJdFWItMYRWnwcv8JTuGYfQ5t+DKXkX+I0uIFXmC2x9wwDjxBw8QdXv79/+oOzj12mwlNVlfwsI1lJBWQmFXBu9TYysnJwzj5E6MkteBSVUOzgyZY2T1CSv/Cy24nUOdEquA4aHz+OG/1JSN+HW+0w3Ly9cPP1xt3LA1c/X5w9PHHx9MbB+dIXX6qrGpXIL1iwgFGjRjFjxgzat2/P1KlT+eWXX4iNjcXf3/+i8tu2baNbt25MnDiRW2+9lZ9//pmPPvqIffv20aRJEwA++ugjJk6cyNy5c6lTpw5vv/02hw8f5ujRozg6XnmwsZqUyO9euojkUycwFuRTUliIsbCA3JR0LBYTKuDjMRqTqsesOFBcuBSrKe6y23LwfBpFMQBgLt4PllTa39YSNx8/PAICiZu9HrVEi5uvE+6B7vg0qIVLZB10fn5V0vwlKyePHw7NZObpORet06HBT3UmwOJAsFlHnWKF+sUWAkvy8bDk4KHm4K4Ulfu9MhUvspxCKfaMRBfQAM+wpvjWaY7WPbDaXNkUQgghhBCVT1VVcow5nM07a0vs8xJIKUghuSCZ5IJkUgpTyDflX3lD/6BVtLgaXHHVu+JucMfN4IZeccZsdqDYaKCwWE9+oY6sfIXsQlCtelSrHqx6VNXw9089WA1//9Rj0Gpp5JxNM/15GmrPUlc9S4AlGR9zMm6mjPLtq6IBZx8UF39w8gRHj0s/DK5/P1xsD1d/cAu8it/ulVkLCig5l0jeqXNE78sip6iYAp2e/Mw0ivIysJpzUK15aE2pRJ1PIiwjl2IHL7a0fYqSvHmX3W7724bTZcT9VRJzValRiXz79u1p27YtX375JQBWq5XQ0FCeeeYZXn/99YvKDx8+nIKCApYtW1a6rEOHDrRo0YIZM2agqirBwcG89NJLvPzyywDk5OQQEBDAd999x4gRIy7a5v+rSYn84o/Gc3rf7suud/B8FkWx3T02F+0EcyINu0fh7O6Bk5sHcb/vxmJyxNXZCU93T5w9nXD2dsY10AOPesG4Noq6XrtykUlffEGvggl84+lOuMlMuMlEuMlMmMlEkNlCea4lmtCSo7iTr/XEaPDG6BKM6hGKwac2rv518A6ph4tvbdDJFBlCCCGEEOLS8kvySSm0JfephalkGbPILMoksziTjOIMMoszba+NmZit5iqJQVUVULWgakDVoaL5+7UWRdWgU1UcsOKgWnDEgpNqxlE144QZR8w4YkKrqmgBLaD5+3m3wiJ6F17hBliL+2DYtCrZr3+jWlXyEjPIPpWErigbl5JMzOkZ5CbnsOecG7mWNMx6DSVFeZhL8lGthaAWoljz6Xr/aNrcett1j/laVCQPtWv74JKSEvbu3cvYsWNLl2k0Gnr37s327dsvWWf79u28+OKLZZb169ePJUuWABAXF0dycjK9e/cuXe/h4UH79u3Zvn37JRN5o9GI0fi/pi45OTmA7RdZ3YW364xP/QY4ODlhcHLBwcWZs0t3YbVocXZ3wc0rDwdPF5w8nXHw7o+jtwd6P9/S+hFde15221bs+zsoUfXUzTbxdk4hxThRrHHHpHXirM6FeIMzFr0LqsENDC4oDm5ondxwdPXG0dMPV68g3L0D0Ll4YVAULjesnQXILTQCl2/qJIQQQgghhJ/GDz83P/iXLtqqqlJsKSa/JJ/8knzyTHmlz/PN+eSV/P3aZHsYzUaKzcUUW4sxmo0UmYswWowYzUaMFiNFlv9PsC99kUAFSv5+lDa+V/5+AKABLn3jyrV2O9o51wNjLhTnQnEOlBRCSb5turySAlBdwF55gYcBz1ZhQBgAesAH6Pd/xawWK0XpORSl5aA3aHCPCK0R+dw/XYi3PPfa7ZrIp6enY7FYCPi/ecIDAgI4duzYJeskJydfsnxycnLp+gvLLlfm/02cOJHx48dftDw0NLR8OyKqzDsAZNs3CCGEEEIIIW5QrxHDa1csNeXvh7ge8vLy8PDw+NcyMmIXMHbs2DJ3+a1WK5mZmfj4VP3chrm5uYSGhnL27Nlq34xf/I8ct5pJjlvNJMet5pFjVjPJcauZ5LjVTHLcaqaqPm6qqpKXl0dwcPAVy9o1kff19UWr1ZKSklJmeUpKCoGBlx5MITAw8F/LX/iZkpJCUFBQmTItWrS45DYdHBxwcCjb1MTT07Miu3LN3N3d5SSugeS41Uxy3GomOW41jxyzmkmOW80kx61mkuNWM1XlcbvSnfgLNFXy7uVkMBho3bo169atK11mtVpZt24dHTt2vGSdjh07likPsGbNmtLyderUITAwsEyZ3Nxcdu7cedltCiGEEEIIIYQQNYXdm9a/+OKLjB49mjZt2tCuXTumTp1KQUEBDzzwAACjRo0iJCSEiRMnAvDcc8/RvXt3PvnkEwYNGsT8+fPZs2cP33zzDQCKovD888/z/vvvExERUTr9XHBwMMOGDbPXbgohhBBCCCGEEJXC7on88OHDSUtLY9y4cSQnJ9OiRQtWrlxZOlhdQkICGs3/Gg506tSJn3/+mbfeeos33niDiIgIlixZUjqHPMCrr75KQUEBjz76KNnZ2XTp0oWVK1eWaw75683BwYF33nnnoqb9onqT41YzyXGrmeS41TxyzGomOW41kxy3mkmOW81UnY6b3eeRF0IIIYQQQgghRPnZtY+8EEIIIYQQQgghKkYSeSGEEEIIIYQQogaRRF4IIYQQQgghhKhBJJEXQgghhBBCCCFqEEnkq1hmZib33nsv7u7ueHp68tBDD5Gfn/+vdXr06IGiKGUejz/+eJkyCQkJDBo0CGdnZ/z9/XnllVcwm81VuSs3lYoet8zMTJ555hmioqJwcnKidu3aPPvss+Tk5JQp9//HVVEU5s+fX9W7c8OaNm0a4eHhODo60r59e3bt2vWv5X/55RcaNGiAo6MjTZs2ZcWKFWXWq6rKuHHjCAoKwsnJid69e3PixImq3IWbUkWO28yZM+natSteXl54eXnRu3fvi8qPGTPmovOqf//+Vb0bN52KHLfvvvvuomPy/zPHyPl2fVTkuF3q+4eiKAwaNKi0jJxvVWvz5s0MHjyY4OBgFEVhyZIlV6yzceNGWrVqhYODA/Xr1+e77767qExFPy9FxVT0uC1atIg+ffrg5+eHu7s7HTt2ZNWqVWXKvPvuuxedaw0aNKjCvbj5VPS4bdy48ZL/I5OTk8uUu17nmyTyVezee+8lOjqaNWvWsGzZMjZv3syjjz56xXqPPPIISUlJpY/JkyeXrrNYLAwaNIiSkhK2bdvG3Llz+e677xg3blxV7spNpaLH7fz585w/f56PP/6YI0eO8N1337Fy5Uoeeuihi8rOmTOnzLEdNmxYFe7JjWvBggW8+OKLvPPOO+zbt4/mzZvTr18/UlNTL1l+27ZtjBw5koceeoj9+/czbNgwhg0bxpEjR0rLTJ48mf/85z/MmDGDnTt34uLiQr9+/SguLr5eu3XDq+hx27hxIyNHjmTDhg1s376d0NBQ+vbtS2JiYply/fv3L3NezZs373rszk2joscNwN3dvcwxOXPmTJn1cr5VvYoet0WLFpU5ZkeOHEGr1XLXXXeVKSfnW9UpKCigefPmTJs2rVzl4+LiGDRoED179uTAgQM8//zzPPzww2WSwqs5f0XFVPS4bd68mT59+rBixQr27t1Lz549GTx4MPv37y9TrnHjxmXOtS1btlRF+Detih63C2JjY8scF39//9J11/V8U0WVOXr0qAqou3fvLl32559/qoqiqImJiZet1717d/W555677PoVK1aoGo1GTU5OLl02ffp01d3dXTUajZUS+83sao/b/1u4cKFqMBhUk8lUugxQFy9eXJnh3rTatWunPvXUU6WvLRaLGhwcrE6cOPGS5e+++2510KBBZZa1b99efeyxx1RVVVWr1aoGBgaqU6ZMKV2fnZ2tOjg4qPPmzauCPbg5VfS4/T+z2ay6ubmpc+fOLV02evRodejQoZUdqviHih63OXPmqB4eHpfdnpxv18e1nm+fffaZ6ubmpubn55cuk/Pt+inPd4ZXX31Vbdy4cZllw4cPV/v161f6+lr/DkTFXO13vUaNGqnjx48vff3OO++ozZs3r7zAxL8qz3HbsGGDCqhZWVmXLXM9zze5I1+Ftm/fjqenJ23atCld1rt3bzQaDTt37vzXuj/99BO+vr40adKEsWPHUlhYWGa7TZs2JSAgoHRZv379yM3NJTo6uvJ35CZzLcftn3JycnB3d0en05VZ/tRTT+Hr60u7du2YPXs2qqpWWuw3i5KSEvbu3Uvv3r1Ll2k0Gnr37s327dsvWWf79u1lyoPtvLlQPi4ujuTk5DJlPDw8aN++/WW3KSrmao7b/yssLMRkMuHt7V1m+caNG/H39ycqKoonnniCjIyMSo39Zna1xy0/P5+wsDBCQ0MZOnRomc8nOd+qXmWcb7NmzWLEiBG4uLiUWS7nW/Vxpc+2yvg7EFXParWSl5d30WfbiRMnCA4Opm7dutx7770kJCTYKULxTy1atCAoKIg+ffqwdevW0uXX+3zTXbmIuFrJycllmloA6HQ6vL29L+pL8U/33HMPYWFhBAcHc+jQIV577TViY2NZtGhR6Xb/mcQDpa//bbuifK72uP1Teno6EyZMuKg5/nvvvcctt9yCs7Mzq1ev5sknnyQ/P59nn3220uK/GaSnp2OxWC55Hhw7duySdS533lw4phd+/lsZcW2u5rj9v9dee43g4OAyH5L9+/fn9ttvp06dOpw6dYo33niDAQMGsH37drRabaXuw83oao5bVFQUs2fPplmzZuTk5PDxxx/TqVMnoqOjqVWrlpxv18G1nm+7du3iyJEjzJo1q8xyOd+ql8t9tuXm5lJUVERWVtY1/98VVe/jjz8mPz+fu+++u3RZ+/bt+e6774iKiiIpKYnx48fTtWtXjhw5gpubmx2jvXkFBQUxY8YM2rRpg9Fo5Ntvv6VHjx7s3LmTVq1aVcr3nIqQRP4qvP7663z00Uf/WiYmJuaqt//P5K9p06YEBQXRq1cvTp06Rb169a56uze7qj5uF+Tm5jJo0CAaNWrEu+++W2bd22+/Xfq8ZcuWFBQUMGXKFEnkhSiHSZMmMX/+fDZu3Fhm4LQRI0aUPm/atCnNmjWjXr16bNy4kV69etkj1Jtex44d6dixY+nrTp060bBhQ77++msmTJhgx8hEec2aNYumTZvSrl27MsvlfBOicv3888+MHz+e33//vcyNpAEDBpQ+b9asGe3btycsLIyFCxdecgwmUfWioqKIiooqfd2pUydOnTrFZ599xg8//HDd45FE/iq89NJLjBkz5l/L1K1bl8DAwIsGNjCbzWRmZhIYGFju92vfvj0AJ0+epF69egQGBl40+mFKSgpAhbZ7s7kexy0vL4/+/fvj5ubG4sWL0ev1/1q+ffv2TJgwAaPRiIODQ7n2Q4Cvry9arbb07/6ClJSUyx6jwMDAfy1/4WdKSgpBQUFlyrRo0aISo795Xc1xu+Djjz9m0qRJrF27lmbNmv1r2bp16+Lr68vJkyclsagE13LcLtDr9bRs2ZKTJ08Ccr5dD9dy3AoKCpg/fz7vvffeFd9Hzjf7utxnm7u7O05OTmi12ms+f0XVmT9/Pg8//DC//PLLRV0k/p+npyeRkZGl/0dF9dCuXbvSQQgr4/OyIqSP/FXw8/OjQYMG//owGAx07NiR7Oxs9u7dW1p3/fr1WK3W0uS8PA4cOABQ+mWnY8eOHD58uEyyuWbNGtzd3WnUqFHl7OQNqKqPW25uLn379sVgMPDHH39cNNXSpRw4cAAvLy9J4ivIYDDQunVr1q1bV7rMarWybt26MncB/6ljx45lyoPtvLlQvk6dOgQGBpYpk5uby86dOy+7TVExV3PcwDa6+YQJE1i5cmWZsSsu59y5c2RkZJRJEMXVu9rj9k8Wi4XDhw+XHhM536retRy3X37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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the KDE plots without histograms\n", + "plt.figure(figsize=(12, 6))\n", + "for i in range(3):\n", + " sns.kdeplot(result_df[f'dnn_model_n{i}'], label=f'DNN (model {i})', color=f'C{i}')\n", + " sns.kdeplot(result_df[f'xgb_model_n{i}'], label=f'XGB (model {i})', color=f'C{i+3}', linestyle='dashed')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get the entries for which the majority vote is different between DNN and XGBoost:" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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UniprotCell Line IdentifierSmilesE3 LigaseDC50 (nM)Dmax (%)Activednn_majority_votexgb_majority_vote
1Q9NWZ3HEK293TCC(C)Nc1cc(-n2ccc3cc(C#N)cnc32)ncc1C(=O)N[C@H]...CRBNNaN46.0FalseFalseTrue
7Q06187THP-1NC(=O)c1c(-c2ccc(Oc3ccc(F)cc3F)cc2)nn([C@@H]2C...CRBN398.568.0TrueFalseTrue
13P11802JurkatCC(=O)c1c(C)c2cnc(Nc3ccc(N4CCN(CC(=O)NCCOCCOCC...VHL2512.0NaNFalseTrueFalse
14P10275VCaPN#Cc1ccc(O[C@H]2CC[C@H](NC(=O)c3ccc(N4CCN(CCNc...CRBN0.877.0TrueFalseTrue
30P00533NCI-H3255COc1cc2ncnc(Nc3ccc(F)c(Cl)c3)c2cc1OCCCCCOCCOCC...VHL22.396.6TrueFalseTrue
36P33981HCT 116CCC(=O)N[C@H]1CC[C@@H](n2c(=O)cc(C)c3cnc(Nc4cc...CRBN25.457.0FalseFalseTrue
44Q06187RamosNC(=O)c1c(-c2ccc(Oc3ccc(F)cc3F)cc2)nn([C@@H]2C...CRBN36.985.0TrueFalseTrue
48Q9NWZ3HEK293TCC(C)Nc1cc(-n2ccc3cc(C#N)cnc32)ncc1C(=O)N[C@H]...CRBN190.093.0TrueFalseTrue
50Q9UM73SRCCc1cc2c(cc1N1CCC(N3CCN(C(=O)CNc4cccc5c4CN(C4C...CRBN6.187.7TrueFalseTrue
53P10275VCaPN#Cc1ccc(O[C@H]2CC[C@H](NC(=O)c3ccc(NCCCCCCCCC...CRBN1000.042.0FalseFalseTrue
55Q9UBN7NaNCCCCN(Cc1ccc(C(=O)NO)cc1)C(=O)Nc1ccc(OCCCCCn2c...CRBN18.045.0FalseFalseTrue
58Q16539MDA-MB-231COc1cc2c(Oc3ccc(NC(=O)C4(C(=O)Nc5ccc(F)cc5)CC4...VHL230.090.1TrueFalseTrue
61P33981HCT 116CCC(=O)N[C@H]1CC[C@@H](n2c(=O)cc(C)c3cnc(Nc4cc...CRBN58.153.0FalseFalseTrue
62Q96SW2HEK293TCc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHL20.499.6TrueFalseTrue
66P01116NCI-H358C=C(F)C(=O)N1CCN(c2nc(OC[C@@H]3CCCN3CCCOCCC(=O...VHL520.040.0FalseFalseTrue
69O60885HEK293TCc1sc2c(c1C)C(c1ccc(Cl)cc1)=N[C@@H](CC(=O)NCCC...FEM1B250.094.0TrueFalseTrue
76P10275LNCaPCc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHL50.071.0TrueFalseTrue
82O15379HCT116-53BPI(+/-)Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O...VHL640.059.0FalseFalseTrue
\n", + "
" + ], + "text/plain": [ + " Uniprot Cell Line Identifier \\\n", + "1 Q9NWZ3 HEK293T \n", + "7 Q06187 THP-1 \n", + "13 P11802 Jurkat \n", + "14 P10275 VCaP \n", + "30 P00533 NCI-H3255 \n", + "36 P33981 HCT 116 \n", + "44 Q06187 Ramos \n", + "48 Q9NWZ3 HEK293T \n", + "50 Q9UM73 SR \n", + "53 P10275 VCaP \n", + "55 Q9UBN7 NaN \n", + "58 Q16539 MDA-MB-231 \n", + "61 P33981 HCT 116 \n", + "62 Q96SW2 HEK293T \n", + "66 P01116 NCI-H358 \n", + "69 O60885 HEK293T \n", + "76 P10275 LNCaP \n", + "82 O15379 HCT116-53BPI(+/-) \n", + "\n", + " Smiles E3 Ligase DC50 (nM) \\\n", + "1 CC(C)Nc1cc(-n2ccc3cc(C#N)cnc32)ncc1C(=O)N[C@H]... CRBN NaN \n", + "7 NC(=O)c1c(-c2ccc(Oc3ccc(F)cc3F)cc2)nn([C@@H]2C... CRBN 398.5 \n", + "13 CC(=O)c1c(C)c2cnc(Nc3ccc(N4CCN(CC(=O)NCCOCCOCC... VHL 2512.0 \n", + "14 N#Cc1ccc(O[C@H]2CC[C@H](NC(=O)c3ccc(N4CCN(CCNc... CRBN 0.8 \n", + "30 COc1cc2ncnc(Nc3ccc(F)c(Cl)c3)c2cc1OCCCCCOCCOCC... VHL 22.3 \n", + "36 CCC(=O)N[C@H]1CC[C@@H](n2c(=O)cc(C)c3cnc(Nc4cc... CRBN 25.4 \n", + "44 NC(=O)c1c(-c2ccc(Oc3ccc(F)cc3F)cc2)nn([C@@H]2C... CRBN 36.9 \n", + "48 CC(C)Nc1cc(-n2ccc3cc(C#N)cnc32)ncc1C(=O)N[C@H]... CRBN 190.0 \n", + "50 CCc1cc2c(cc1N1CCC(N3CCN(C(=O)CNc4cccc5c4CN(C4C... CRBN 6.1 \n", + "53 N#Cc1ccc(O[C@H]2CC[C@H](NC(=O)c3ccc(NCCCCCCCCC... CRBN 1000.0 \n", + "55 CCCCN(Cc1ccc(C(=O)NO)cc1)C(=O)Nc1ccc(OCCCCCn2c... CRBN 18.0 \n", + "58 COc1cc2c(Oc3ccc(NC(=O)C4(C(=O)Nc5ccc(F)cc5)CC4... VHL 230.0 \n", + "61 CCC(=O)N[C@H]1CC[C@@H](n2c(=O)cc(C)c3cnc(Nc4cc... CRBN 58.1 \n", + "62 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... VHL 20.4 \n", + "66 C=C(F)C(=O)N1CCN(c2nc(OC[C@@H]3CCCN3CCCOCCC(=O... VHL 520.0 \n", + "69 Cc1sc2c(c1C)C(c1ccc(Cl)cc1)=N[C@@H](CC(=O)NCCC... FEM1B 250.0 \n", + "76 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... VHL 50.0 \n", + "82 Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O... VHL 640.0 \n", + "\n", + " Dmax (%) Active dnn_majority_vote xgb_majority_vote \n", + "1 46.0 False False True \n", + "7 68.0 True False True \n", + "13 NaN False True False \n", + "14 77.0 True False True \n", + "30 96.6 True False True \n", + "36 57.0 False False True \n", + "44 85.0 True False True \n", + "48 93.0 True False True \n", + "50 87.7 True False True \n", + "53 42.0 False False True \n", + "55 45.0 False False True \n", + "58 90.1 True False True \n", + "61 53.0 False False True \n", + "62 99.6 True False True \n", + "66 40.0 False False True \n", + "69 94.0 True False True \n", + "76 71.0 True False True \n", + "82 59.0 False False True " + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tmp = result_df[result_df['dnn_majority_vote'] != result_df['xgb_majority_vote']]\n", + "tmp[relevant_cols + ['dnn_majority_vote', 'xgb_majority_vote']]" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of entries for which the majority vote is different between DNN and XGBoost: 18\n", + "Number of entries for which the majority vote of XGBoost is different from the Active column: 7\n", + "Number of entries for which the majority vote of DNN is different from the Active column: 11\n" + ] + } + ], + "source": [ + "print(f'Number of entries for which the majority vote is different between DNN and XGBoost: {len(tmp)}')\n", + "print(f'Number of entries for which the majority vote of XGBoost is different from the Active column: {len(tmp[tmp[\"Active\"] != tmp[\"xgb_majority_vote\"]])}')\n", + "print(f'Number of entries for which the majority vote of DNN is different from the Active column: {len(tmp[tmp[\"Active\"] != tmp[\"dnn_majority_vote\"]])}')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### KL Divergence" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Estimate and plot KL divergence between DNN and XGBoost predictions:" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DNN vs. XGB model N.0: 7.322032476908708\n", + "DNN vs. XGB model N.1: 5.150240075698975\n", + "DNN vs. XGB model N.2: 6.874510246266886\n", + "DNN vs. XGB mean: 7.969119274983867\n", + "DNN vs. XGB majority vote: 0.07029106924951611\n", + "True vs. DNN majority vote: 0.004405425756712149\n", + "True vs. XGB majority vote: 0.03965522705930391\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "from scipy.stats import entropy\n", + "\n", + "def kl_divergence(p, q, bins=20):\n", + " # Histogram bins\n", + " hist_p, bin_edges = np.histogram(p, bins=bins, density=True)\n", + " hist_q, _ = np.histogram(q, bins=bin_edges, density=True)\n", + "\n", + " # Make sure no zero values in densities (adjust as necessary)\n", + " hist_p += 1e-10\n", + " hist_q += 1e-10\n", + "\n", + " return entropy(hist_p, hist_q)\n", + "\n", + "\n", + "bins = 50\n", + "kl_divergences = {}\n", + "for i in range(3):\n", + " kl_divergences[f'DNN vs. XGB model N.{i}'] = kl_divergence(result_df[f'dnn_model_n{i}'], result_df[f'xgb_model_n{i}'], bins=bins)\n", + "\n", + "kl_divergences['DNN vs. XGB mean'] = kl_divergence(result_df['dnn_mean'], result_df['xgb_mean'], bins=bins)\n", + "kl_divergences['DNN vs. XGB majority vote'] = kl_divergence(result_df['dnn_majority_vote'].astype(int), result_df['xgb_majority_vote'].astype(int), bins=bins)\n", + "\n", + "# Get df where the Active column is not NaN\n", + "active_df = result_df[~result_df['Active'].isna()]\n", + "kl_divergences['True vs. DNN majority vote'] = kl_divergence(active_df['Active'].astype(int), active_df['dnn_majority_vote'].astype(int), bins=bins)\n", + "kl_divergences['True vs. XGB majority vote'] = kl_divergence(active_df['Active'].astype(int), active_df['xgb_majority_vote'].astype(int), bins=bins)\n", + "\n", + "for key, value in kl_divergences.items():\n", + " print(f'{key}: {value}')\n", + "\n", + "# Plot KL divergences\n", + "plt.figure(figsize=(12, 6))\n", + "plt.bar(kl_divergences.keys(), kl_divergences.values())\n", + "plt.ylabel('KL Divergence')\n", + "# Put values on top of the bars\n", + "for key, value in kl_divergences.items():\n", + " plt.text(key, value, f'{value:.4f}', ha='center', va='bottom')\n", + "# Rotate x-axis labels\n", + "plt.xticks(rotation=90)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ROC-AUC Curves" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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3Q/R2jHadFpEJymsSPyGEUKvVolq1aqJatWo6E/Cp1Wqxfv160bJlS2FrayssLCxE3bp1xbx58/KdPTc4OFh07txZODg4CHNzc+Hi4iIGDhwoTpw4kec6cXFxwtzcXAwdOjTPPmlpaUKpVIo+ffrotP/+++/i3XffFVZWVkKhUIhatWqJefPm6Vx6/E8vXrwQs2fPFvXr1xdKpVI7Kd306dNFTExMnq//T7du3RKjR48Wnp6eQi6XCxsbG9GyZUvx448/6rxuWlqa+PDDD4WdnZ2wsbERAwYMEE+fPs3zUvC8LmsXQojVq1cLAMLGxkakp6fn2ufy5cuib9++onz58kKhUAgPDw8xYMAAcfTo0Te+p0uXLgkAOWZvfj2J378BEOPGjdNpe335++LFi3Xao6KixLBhw4Szs7OQyWTCzc1N9OjRQwQHB2v7ZGRkiP/85z/CxcVFWFpaipYtW4qwsDDRtm1bnUv6X18KHhQUlOtr//vS+2bNmokhQ4a88f0TFQeJEHkM2ycioiLRsWNHuLq64rfffjN2KQYRHh6Oxo0b49KlS3kOtCYqTgw3RETF7Ny5c2jdujVu375tEncGf++996DRaHKd4ZnIGBhuiIiIyKTwaikiIiIyKQw3REREZFIYboiIiMikMNwQERGRSSlzk/hpNBo8efIENjY2vMEbERFRKSGEQHJyMlxdXd94Y98yF26ePHlSqJv5ERERkfE9fPgQlSpVyrdPmQs3NjY2AF7tHFtbWyNXQ0RERAWRlJQEd3d37ed4fspcuHl9KsrW1pbhhoiIqJQpyJASDigmIiIik8JwQ0RERCaF4YaIiIhMCsMNERERmRSGGyIiIjIpDDdERERkUhhuiIiIyKQw3BAREZFJYbghIiIik8JwQ0RERCbFqOHm1KlT6NmzJ1xdXSGRSLBr1643rnPixAk0btwYCoUC1atXx4YNG4q8TiIiIio9jBpuUlNT0bBhQyxfvrxA/aOjo9G9e3e0b98e4eHh+PzzzzFq1CgcPHiwiCslIiKi0sKoN87s2rUrunbtWuD+q1atQpUqVfDDDz8AAGrXro3Tp0/jv//9L/z8/IqqTCIi0ycEkJVmoE0JpGepDbItKr0slTaQSI1zDKVU3RU8LCwMvr6+Om1+fn74/PPP81wnMzMTmZmZ2udJSUlFVR4RUekkBLDOD3h4ziCbkwBQGmRLVJqlTX4ApbWdUV67VA0ojo2NRcWKFXXaKlasiKSkJKSnp+e6zqJFi2BnZ6d9uLu7F0epRESlR1aawYINUUlQqo7cFMb06dMxadIk7fOkpCQGHCKivEy+A8gLf9wlTZWNJvOPAABCvmgPpdzMUJVRCfXw4UP8+ccfKO9YHgEDBkL6f6eiLJU2RqupVIUbZ2dnxMXF6bTFxcXB1tYWlpaWua6jUCigUCiKozwiotJPrgTkVm+xgWykwwIAoLS2hVJeqj5mSA9CCISEhOD48eMQQsAiIxtCYg6ltfFCzWul6l9d8+bNsW/fPp22w4cPo3nz5kaqiIiIqOxJSUnBzp07ERUVBQBo2LAhunfvDrlcbuTKXjFquElJScGdO3e0z6OjoxEeHg4HBwdUrlwZ06dPx+PHj7Fx40YAwJgxY/DTTz/hiy++wAcffIBjx45h27Zt2Lt3r7HeAhERUZkSHR2N7du3IyUlBTKZDN27d4e3t7exy9Jh1HBz4cIFtG/fXvv89diY4cOHY8OGDYiJicGDBw+0y6tUqYK9e/di4sSJWLZsGSpVqoQ1a9bwMnAiIqJioNFosG/fPqSkpMDJyQkBAQGoUKGCscvKwajhpl27dhBC5Lk8t9mH27Vrh8uXLxdhVURUrAw4v0pZYtC5ZLLStJdup6myAWQXelNpKs5vY8qkUin69euHCxcuwM/PDzKZzNgl5apUjbkhIhNj4PlVypKimkumyfwj2gHBRAAQFRWFly9fokmTJgBeXdzTo0cPI1eVP4YbIjIezq9SovylqYl0GObqUh8Pe1jKeBl4aabRaHD8+HGcPn0aUqkUrq6ucHFxMXZZBcJwQ0Qlw1vOr1KWFNVcMnVlSkRIJAbZlqXMDBIDbYuKX1JSEoKDg7XjXhs1alQix9bkheGGiEqGt55fpSzhXDJUdG7fvo2dO3ciLS0NCoUCvXr1Qt26dY1dll74G0FEREQAgKNHjyIkJAQA4OLigoCAADg4OBi5Kv0x3BAREREAaGf7b9asGTp16gRz89IZE0pn1URERGQQKpVKO7Nw8+bNUalSJVSuXNnIVb2dUnVXcCIiIjIMtVqNAwcO4JdffoFKpQIASCSSUh9sAB65ITJ9JXmSPFUJrYvIxL148QJBQUF48uQJACAyMhL169c3clWGw3BDZMo4SR4R/UtERAT++OMPZGZmwtLSEv7+/vDy8jJ2WQbFcENkykrLJHnu7wIyznFDVJSys7Nx6NAhnD9/HgDg7u6O/v37w87OzsiVGR7DDVFZUZInyZMpAU74RlSk/hlsWrVqhfbt28PMzDRnkWa4ISorOEkeUZnWpk0b3Lt3D507d0b16tWNXU6R4tVSREREJigrKwtXr17VPre2tsYnn3xi8sEG4JEbIiIikxMfH4+goCDExcVBKpVqb59QVu73xXBDRERkQq5cuYI9e/YgKysLVlZW2lmHyxKGG6KSyFBz0/xjHpk0VTaA7LffJhldmkpt7BKoBFKpVNi/fz8uX74MAKhSpQr69u0LGxsbI1dW/BhuiEqaIpqbpsn8I9o7SRORaXn69CmCgoLw7NkzSCQStGvXDq1bt4ZUWjaH1jLcEJU0RTA3zV+amkiHwqDbJOPz8bCHpcw0L+Ul/bx48QLPnj2DjY0N+vXrB09PT2OXZFQMN0Ql2VvOTZOmyv6/IzYKXJjZCUo5PwhNiaXMrMwMEKWchBDan7+Xlxd69eoFLy8vWFlxygeGG6KS7K3npsnWnopSys2glPNXnsgUxMbGYu/evTozDDdu3NjIVZUcZfNkHBERUSkkhMCFCxewZs0aPHz4EIcOHTJ2SSUSv8YRERGVApmZmfjzzz9x7do1AEDNmjXRvXt3I1dVMjHcEBERlXAxMTEICgpCQkICpFIpfH190bx5c465ygPDDRERUQkWHR2N33//HWq1GnZ2dggICEClSpWMXVaJxnBDZAgFnHRPCIH0rDdMwJaVhtfXR73txHuc7I2o9KtUqRIcHR1hb2+P3r17l8kZh/XFcEP0tvSYdE8CQJ8LuznxHlHZ9PTpUzg6OkIqlUImk2H48OGwtLTkaagC4tVSRG+rCCbdAww78R4neyMqHYQQCAsLw88//4zTp09r25VKJYONHnjkhsiQ8pl07/WEegAQ8kX7N06oV1emRISB/phxsjeiki89PR27du1CZGQkgFdHb/45UR8VHMMNkSHlO+nePybUs7blhHpEpPXw4UMEBwcjMTERZmZm6NKlC3x8fBhsCol/XYmIiIxECIEzZ87g6NGj0Gg0cHBwQEBAAFxcXIxdWqnGcENERGQkCQkJOH78ODQaDerXr48ePXpAoeBNbt8Www0REZGRlC9fHt26dYMQAo0bN+ZpKANhuCHKR4HmpVFlF2heGs45Q0RCCJw+fRpVq1aFm5sbAN7wsigw3BDlQQiB/qvCcPH+i3z7WSIDN/5vKhrOS0NEeUlJScHOnTsRFRWFixcvYuzYsZDL5cYuyyQx3BDlIT1L/cZgUxicc4ao7ImOjsb27duRkpICmUyGdu3aMdgUIYYbogK4MNM373lpVKnA96/+9+JM33wuBX+Fc84QlR0ajQanTp3CyZMnIYSAk5MTAgICUKFCBWOXZtIYbogKQCk3y2deGvN/9DMHOH8NEQHIzMzE5s2bce/ePQBAo0aN0K1bN8hkMuMWVgbwrzAREVERkMvl2kePHj3QoEEDY5dUZjDcEBERGYhGo4FarYZMJoNEIoG/vz/S0tLg6Oho7NLKFIYbIiIiA0hKSsL27dtRrlw59OnTB8CrG14qlbnfb46KDsMNUb4ELJH5atBwXr8uqrRirYiISp7bt29j586dSEtLQ2xsLF6+fIly5coZu6wyi+GGKC9CIFg+Dz7SW9qroYiI/kmtVuPYsWMIDQ0FALi4uCAgIIDBxsgYbojykpX2KtgUlPu7gIyHn4nKisTERAQHB+Phw4cAgGbNmqFTp04wN+dHq7HxJ0BUAGkTbkJpZZt/J5kS4Pw1RGWCEAK///47nj17BgsLC/Tu3Ru1a9c2dln0fxhuiApCpnzj5HxEVHZIJBJ06dIFx48fR79+/WBvb2/skugfGG6IiIgK4MWLF0hISEC1atUAANWqVUPVqlU543gJxHBDRET0BhEREfjjjz8AAB9//DEcHBwAgMGmhGK4ISIiykN2djYOHTqE8+fPAwDc3d1hZsYb35Z0DDdERES5eP78OYKDgxETEwMAaNmyJTp06MBwUwow3FCZJYRAepY6z+VpKjV4YTdR2XTt2jX8+eefyMzMhFKpRJ8+fVCjRg1jl0UFxHBDZZIQAv1XheHi/Rd59rFEBm5YFGNRRFRiPHr0CJmZmfDw8EC/fv1ga/uGqSCoRGG4oTIpPUudb7D5N0sZD0MTmTohhHaAcKdOneDg4AAfHx9IpVIjV0b6YrihMu/CTF8o5bmEF1Wq9rYLvCKCyLT9/fffuHr1KgYNGgSpVAozMzM0bdrU2GVRITHcUJmnlJtBKc/tV4G/HkSmTqVSYf/+/bh8+TIA4PLly2jSpImRq6K3xb/eRERUJj19+hRBQUF49uwZJBIJ2rZti0aNGhm7LDIAo59IXL58OTw9PWFhYYFmzZpp5xLIy9KlS+Hl5QVLS0u4u7tj4sSJyMjIKKZqiYiotBNC4PLly1i9ejWePXsGa2trDBs2DO3ateP4GhNh1CM3W7duxaRJk7Bq1So0a9YMS5cuhZ+fHyIjI+Hk5JSj/6ZNmzBt2jSsW7cOLVq0wK1btzBixAhIJBIsWbLECO+AiIhKm5MnT+LEiRMAXt1CoW/fvrCy4r3jTIlRw82SJUswevRojBw5EgCwatUq7N27F+vWrcO0adNy9D9z5gxatmyJwYMHAwA8PT0xaNAgnDt3rljrJgMTAshKK97XVGXDEv93xE+Vilx/FVTFXBMRFYu6desiLCwMrVq1QqtWrXjBgAkyWrhRqVS4ePEipk+frm2TSqXw9fVFWFhYruu0aNECv//+O86fP4+mTZvi7t272LdvH4YOHZrn62RmZiIzM1P7PCkpyXBvgt6eEMA6P+Bh8QZUJfD/57D5vlhfmoiKmRACcXFxcHZ2BgBUqFABn3/+OSwtLY1cGRUVo4Wb+Ph4qNVqVKxYUae9YsWKuHnzZq7rDB48GPHx8WjVqhWEEMjOzsaYMWMwY8aMPF9n0aJFmDdvnkFrJwPKSiv2YKM393cBGecqJiqNMjMz8eeff+L69esYMWIEPDw8AIDBxsSVqqulTpw4gYULF2LFihVo1qwZ7ty5gwkTJuDrr7/GrFmzcl1n+vTpmDRpkvZ5UlIS3N3di6tk0sfkO4C8eEJEmiobTeYfAQBcnOmbx6Xg/0emBHjYmqjUiYmJQVBQEBISEiCVShEfH68NN2TajBZuHB0dYWZmhri4OJ32fx46/LdZs2Zh6NChGDVqFACgfv36SE1NxUcffYQvv/wy11HuCoUCCoXC8G+ADE+uBOTFNagvG+n4v/NScisgv3BDRKWKEAJ//fUXDh48CLVaDTs7O/Tv359fbMsQo13zJpfL0aRJExw9elTbptFocPToUTRv3jzXddLS0nIEmNd3ZxVCFF2xRERUKmRkZCAoKAj79u2DWq2Gl5cXxowZw2BTxhj16+qkSZMwfPhw+Pj4oGnTpli6dClSU1O1V08NGzYMbm5uWLRoEQCgZ8+eWLJkCRo1aqQ9LTVr1iz07NmTt6AnIiLcvHkTERERMDMzQ6dOndCsWTNeDVUGGTXcDBw4EM+ePcPs2bMRGxsLb29vHDhwQDvI+MGDBzpHambOnAmJRIKZM2fi8ePHqFChAnr27IkFCxYY6y0QEVEJ0rBhQ8TFxaFevXpwc3MzdjlkJBJRxs7nJCUlwc7ODomJibyFfUmgSgUWur76/xlPim3MTZoqG3VmHwQARHzll/+AYiIqsdLT03Hs2DF07NgRFhYWb16BSi19Pr/5F50Kx1AT7xXBRHlCCKRnqfPtk6bKfzkRlXwPHz5EcHAwEhMTkZGRgX79+hm7JCohGG5If0aaeK8ghBDovyoMF++/MHYpRFREhBA4c+YMjh49Co1GAwcHB7Ro0cLYZVEJwnBD+iuKifcMNFFeepZar2Dj42EPSxkHoxOVFmlpadi5cydu374NAKhXrx569uzJKT9IB8MNvR1DTbxXBBPlXZjpC6U8/+BiKTPjlRREpURsbCw2bdqEpKQkmJubo2vXrmjcuDF/hykHhht6O8U68Z5+lHIzDhQmMiGvB5E6OjoiICAgx+17iF7jX34iIiqxMjMztaeclEolhgwZgnLlykEulxu5MirJjDZDMRERUX6io6Px448/Ijw8XNvm5OTEYENvxHBDREQlikajwYkTJ7Bx40akpKTgr7/+4i12SC88LUWlBuevITJ9ycnJ2LFjB6KjowEAjRo1QteuXTlomPTCcEOlAuevITJ9UVFR2LFjB1JTUyGXy9G9e3c0bNjQ2GVRKcRwQ6UC568hMm0vXrxAYGAgNBoNKlasiICAADg6Ohq7LCqlGG6o1OH8NUSmx97eHi1btkR6ejr8/Pwgk8mMXRKVYgw3VOpw/hoi03D79m04OjrC3t4eANChQwd+KSGD4NVSRERUrNRqNQ4fPozAwEAEBwdDrX51IQCDDRkKv/4SEVGxSUxMRHBwMB4+fAgAcHNz42XeZHAMN0REVCwiIyOxa9cupKenw8LCAr169UKdOnWMXRaZIIYbIiIqUmq1GkeOHEFYWBiAV0dr+vfvrx1rQ2RoDDdERFSkhBC4f/8+AODdd99Fp06dYGbGqRqo6DDcEBFRkRBCQCKRwNzcHAEBAYiLi0OtWrWMXRaVAQw3RERkUNnZ2Th06BAsLCzQoUMHAK/mseFpKCouDDdERGQwCQkJCAoKQkxMDCQSCby9veHg4GDssqiMYbghIiKDuH79Onbv3o3MzEwolUr4+/sz2JBRMNwQEdFbycrKwsGDB3HhwgUAQOXKldG/f3/Y2toauTIqqxhuiIio0IQQ2LhxIx4+fAiJRIJWrVqhffv2kEo5AT4ZD8MNEREVmkQiQZMmTZCQkIC+ffuiWrVqxi6JiOGGiIj0k5WVhZcvX6JChQoAAG9vb3h5ecHS0tLIlRG9wuOGRERUYM+ePcPq1avx22+/IS0tTdvOYEMlCY/cEBFRgYSHh2Pv3r3IysqCtbU1Xr58CaVSaeyyiHJguCEionypVCrs3bsXV65cAQBUrVoVffv2hbW1tZErI8odww0REeUpLi4OQUFBiI+Ph0QiQfv27dG6dWtIJBJjl0aUJ4YbIiLKU2hoKOLj42FjY4P+/fvDw8PD2CURvRHDDRER5albt24wNzdHx44dYWVlZexyiAqEV0sREZFWTEwMDh06BCEEAMDCwgK9evVisKFS5a2O3GRkZMDCwsJQtVBREgLISntzv4JQGWg7RFRiCCFw4cIFHDhwAGq1GhUqVECjRo2MXRZRoegdbjQaDRYsWIBVq1YhLi4Ot27dQtWqVTFr1ix4enriww8/LIo66W0IAazzAx6eM3YlRFQCZWRkYPfu3YiIiAAAeHl5oVatWkauiqjw9D4tNX/+fGzYsAHfffcd5HK5tr1evXpYs2aNQYsjA8lKK5pg4/4uIOMcF0Sl2ePHj/Hzzz8jIiICZmZm8PPzw3vvvcdJ+ahU0/vIzcaNG/HLL7+gY8eOGDNmjLa9YcOGuHnzpkGLoyIw+Q4gN1AgkSkBXg5KVGpdvnwZe/bsgVqtRrly5RAQEAA3Nzdjl0X01vQON48fP0b16tVztGs0GmRlZRmkKCpCciUg58BAIgIcHByg0WhQu3Zt9O7dm2MoyWToHW7q1KmDkJCQHHMdBAcHc/AZEVEJ988LQTw8PDB69Gi4uLhwUj4yKXqHm9mzZ2P48OF4/PgxNBoNduzYgcjISGzcuBF79uwpihqJiOgtCSEQFhaGU6dOYdSoUXB0dAQAuLq6GrkyIsPTe0Bx79698eeff+LIkSOwsrLC7NmzcePGDfz555/o1KlTUdRIRERvIS0tDZs3b8ahQ4eQkZGhvUcUkakq1Dw3rVu3xuHDhw1dCxERGdiDBw8QHByMpKQkmJubo0uXLmjSpImxyyIqUnofualatSqeP3+eo/3ly5eoWrWqQYoiIqK3I4RASEgINmzYgKSkJJQvXx6jRo2Cj48Px9eQydP7yM29e/egVqtztGdmZuLx48cGKYqIiN5OeHg4jh49CgBo0KABevTooTM3GZEpK3C42b17t/b/Dx48CDs7O+1ztVqNo0ePwtPT06DFERFR4TRs2BDXrl1DvXr14O3tzaM1VKYUONz4+/sDACQSCYYPH66zTCaTwdPTEz/88INBiyMiooLRaDS4fPkyvL29YWZmBqlUiiFDhjDUUJlU4HCj0WgAAFWqVMFff/2lvYyQiIiMKyUlBdu3b0d0dDTi4+Ph5+cHAAw2VGbpPeYmOjq6KOogIqJCuHv3Lnbs2IGUlBTIZDI4OzsbuyQioyvUpeCpqak4efIkHjx4AJVKpbPss88+M0hhRESUN41GgxMnTiAkJARCCFSsWBEBAQE8qk6EQoSby5cvo1u3bkhLS0NqaiocHBwQHx8PpVIJJycnhhsioiKWlJSE7du34/79+wCAJk2aoEuXLpDJZEaujKhk0Huem4kTJ6Jnz5548eIFLC0tcfbsWdy/fx9NmjTB999/XxQ1Un6EAFSpb3ikGbtKIjKg7OxsxMbGQi6Xo1+/fujZsyeDDdE/6H3kJjw8HD///DOkUinMzMyQmZmJqlWr4rvvvsPw4cPRt2/foqiTciMEsM4PeHjO2JUQURETQmgHCDs4OCAgIAD29vYoX768kSsjKnn0PnIjk8kglb5azcnJCQ8ePAAA2NnZ4eHDh4atjvKXlaZfsHF/F5Api64eIioSiYmJ2LBhA+7evattq169OoMNUR70PnLTqFEj/PXXX6hRowbatm2L2bNnIz4+Hr/99hvq1atXFDVSQUy+A8jfEFxkSoCXhhKVKpGRkdi1axfS09Oxd+9ejBs3TvsFk4hyp3e4WbhwIZKTkwEACxYswLBhw/DJJ5+gRo0aWLt2rcELpAKSKwG5lbGrICIDUavVOHLkCMLCwgAArq6uCAgIYLAhKgC9w42Pj4/2/52cnHDgwAGDFkREVNa9fPkSQUFB2vv1vfvuu/D19YW5eaFm7yAqcwz2FeDSpUvo0aOH3ustX74cnp6esLCwQLNmzXD+/Pl8+798+RLjxo2Di4sLFAoFatasiX379hW2bCKiEiUxMRGrVq3C48ePYWFhgffeew9dunRhsCHSg17h5uDBg5g8eTJmzJihHdh28+ZN+Pv745133tHeoqGgtm7dikmTJmHOnDm4dOkSGjZsCD8/Pzx9+jTX/iqVCp06dcK9e/cQHByMyMhIrF69Gm5ubnq9LhFRSWVrawsvLy9UqlQJY8aMQa1atYxdElGpU+CvAmvXrsXo0aPh4OCAFy9eYM2aNViyZAk+/fRTDBw4ENeuXUPt2rX1evElS5Zg9OjRGDlyJABg1apV2Lt3L9atW4dp06bl6L9u3TokJCTgzJkz2jkdeCdyIirtEhISYGFhAaVSCYlEgh49emin2yAi/RX4yM2yZcvw7bffIj4+Htu2bUN8fDxWrFiBq1evYtWqVXoHG5VKhYsXL8LX1/f/FyOVwtfXVzuA7t92796N5s2bY9y4cahYsSLq1auHhQsXQq1W5/k6mZmZSEpK0nkQEZUU169fx88//4w//vgDQggAr6bcYLAhKrwCh5uoqCgEBAQAAPr27Qtzc3MsXrwYlSpVKtQLx8fHQ61Wo2LFijrtFStWRGxsbK7r3L17F8HBwVCr1di3bx9mzZqFH374AfPnz8/zdRYtWgQ7Ozvtw93dvVD1EhEZUnZ2Nvbs2YOgoCBkZmYiPT0dmZmZxi6LyCQU+LRUeno6lMpX86hIJBIoFAq4uLgUWWG50Wg0cHJywi+//AIzMzM0adIEjx8/xuLFizFnzpxc15k+fTomTZqkfZ6UlMSAQ0RG9fz5cwQFBWm/yLVu3Rrt27fnZd5EBqLX8Ps1a9bA2toawKtvHRs2bMhxB9qC3jjT0dERZmZmiIuL02mPi4uDs7Nzruu4uLjkOFxbu3ZtxMbGQqVSQS6X51hHoVBAoVAUqCYioqL2999/Y8+ePVCpVLCyskKfPn1QvXp1Y5dFZFIKHG4qV66M1atXa587Ozvjt99+0+kjkUgKHG7kcjmaNGmCo0ePwt/fH8CrIzNHjx7F+PHjc12nZcuW2LRpEzQajfYbzq1bt+Di4pJrsCEiKkmysrJw7NgxqFQqeHp6ol+/frCxsTF2WUQmp8Dh5t69ewZ/8UmTJmH48OHw8fFB06ZNsXTpUqSmpmqvnho2bBjc3NywaNEiAMAnn3yCn376CRMmTMCnn36K27dvY+HChQUOVERExiSTyRAQEIDbt2+jTZs2PA1FVESMOivUwIED8ezZM8yePRuxsbHw9vbGgQMHtIOMHzx4oPPL7+7ujoMHD2LixIlo0KAB3NzcMGHCBEydOtVYb4GIKF/h4eEQQqBRo0YAADc3N87NRVTEjD7l5fjx4/M8DXXixIkcbc2bN8fZs2eLuCoiorejUqmwd+9eXLlyBebm5qhcuTLv4k1UTIweboiEEEjPynuuIgBIU+W/nKgkiYuLQ1BQEOLj4yGRSNCmTRvY29sbuyyiMoPhhoxKCIH+q8Jw8f4LY5dC9NaEELh8+TL27duH7Oxs2NjYoF+/fpxJnaiYMdyQUaVnqfUKNj4e9rCUceZWKnmEENi1axeuXLkCAKhevTr69OkDKysrI1dGVPYUKtxERUVh/fr1iIqKwrJly+Dk5IT9+/ejcuXKqFu3rqFrpDLiwkxfKOX5BxdLmRkkEkkxVURUcBKJBA4ODpBKpejQoQNatmzJf6tERqL3dYgnT55E/fr1ce7cOezYsQMpKSkAgCtXruQ5SzBRQSjlZlDKzfN98MOCShIhBNLT07XPW7dujY8++gitWrXiv1UiI9I73EybNg3z58/H4cOHdSbO69ChA69iIqIyIyMjA8HBwdiwYQOysrIAvLr5b14zrBNR8dH7tNTVq1exadOmHO1OTk6Ij483SFFERCXZkydPEBQUhBcvXkAqleLhw4eoWrWqscsiov+jd7gpV64cYmJiUKVKFZ32y5cvc2IqIjJpQgicP38ehw4dglqtRrly5dC/f39UqlTJ2KUR0T/oHW7ee+89TJ06FUFBQZBIJNBoNAgNDcXkyZMxbNiwoqiRiMjo0tPT8ccff+DmzZsAgFq1aqF3796wtLQ0cmVE9G96h5uFCxdi3LhxcHd3h1qtRp06daBWqzF48GDMnDmzKGokIjK6vXv34ubNmzAzM0Pnzp3RtGlTDhomKqH0DjdyuRyrV6/GrFmzcO3aNaSkpKBRo0aoUaNGUdRHRFQidOrUCS9evED37t3h6upq7HKIKB96h5vTp0+jVatWqFy5MipXrlwUNRERGV1aWhpu3boFb29vAICdnR1GjRrFozVEpYDe4aZDhw5wc3PDoEGDMGTIENSpU6co6iIiMpoHDx4gODgYSUlJsLS0hJeXFwAw2BCVEnrPc/PkyRP85z//wcmTJ1GvXj14e3tj8eLFePToUVHUR0RUbIQQOH36NDZs2ICkpCSUL18ednZ2xi6LiPSkd7hxdHTE+PHjERoaiqioKAQEBODXX3+Fp6cnOnToUBQ1EhEVudTUVAQGBuLIkSPQaDSoX78+PvroI07KR1QKvdWNM6tUqYJp06ahYcOGmDVrFk6ePGmouoiIis29e/ewfft2JCcnw9zcHN26dUOjRo14GoqolCp0uAkNDUVgYCCCg4ORkZGB3r17Y9GiRYasjYioWKSkpCA5ORkVKlRAQEAAnJycjF0SEb0FvcPN9OnTsWXLFjx58gSdOnXCsmXL0Lt3byiVyqKoj4ioSAghtEdm6tWrB7Vajdq1a+vcM4+ISie9w82pU6cwZcoUDBgwAI6OjkVRExFRkbp79y4OHTqEIUOGwNraGgDQsGFDI1dFRIaid7gJDQ0tijqIiIqcRqPByZMncerUKQghcOLECfTo0cPYZRGRgRUo3OzevRtdu3aFTCbD7t278+3bq1cvgxRGRGRIycnJ2L59O+7duwcAaNy4Mfz8/IxbFBEViQKFG39/f8TGxsLJyQn+/v559pNIJFCr1YaqjYjIIO7cuYMdO3YgLS0NcrkcPXv2RP369Y1dFhEVkQKFG41Gk+v/ExGVdNevX0dQUBAAwNnZGQEBAShfvryRqyKioqT3JH4bN25EZmZmjnaVSoWNGzcapCgiIkOpXr06ypcvj3feeQejRo1isCEqA/QONyNHjkRiYmKO9uTkZIwcOdIgRRERvY1Hjx5BCAEAUCgU+Oijj9C9e3eYm7/VvKVEVEro/Zv+z7kh/unRo0e8BwvpEEIgPSv/MVhpKo7RIsNRq9U4evQozpw5Az8/PzRv3hzAq4BDRGVHgcPN66nIJRIJOnbsqPMNSK1WIzo6Gl26dCmSIqn0EUKg/6owXLz/wtilUBnx8uVLBAcHa2/im5ycbOSKiMhYChxuXl8lFR4eDj8/P+3EVwAgl8vh6emJfv36GbxAKp3Ss9R6BRsfD3tYysyKsCIyZTdv3sSuXbuQkZEBCwsL+Pv7o1atWsYui4iMpMDhZs6cOQAAT09PDBw4EBYWFkVWFJmWCzN9oZTnH1wsZWa8SSHpLTs7G4cPH8a5c+cAAJUqVUL//v1Rrlw54xZGREal95ib4cOHF0UdZMKUcjMo5RzISYb37Nkz/PXXXwCAFi1aoGPHjjAz4xFAorKuQJ84Dg4OuHXrFhwdHWFvb5/vN+yEhASDFUdElB8XFxd069YNtra2qFmzprHLIaISokDh5r///S9sbGy0/8/TB0RkDK9PQzVu3BgVK1YEAPj4+Bi5KiIqaQoUbv55KmrEiBFFVQsRUZ6eP3+OoKAgxMbGIioqCmPHjoVUqvdUXURUBug9EOLSpUuQyWTa+7L88ccfWL9+PerUqYO5c+dCLpcbvMgySQggKy3/Pqo3LCcyEVevXsWff/4JlUoFKysrdOnShcGGiPKkd7j5+OOPMW3aNNSvXx93797FwIED0bdvXwQFBSEtLQ1Lly4tgjLLGCGAdX7Aw3PGroTIqLKysrB//35cunQJALRTTrw+TU5ElBu9v/rcunUL3t7eAICgoCC0bdsWmzZtwoYNG7B9+3ZD11c2ZaXpF2zc3wVkyqKrh8gIUlJSsHr1aly6dAkSiQRt27bFsGHDGGyI6I0KdfuF13cGP3LkCHr06AEAcHd3R3x8vGGrI2DyHUD+huAiUwIc5E0mRqlUwsrKCtbW1ujbty+qVq1q7JKIqJTQO9z4+Phg/vz58PX1xcmTJ7Fy5UoAQHR0tPbqBTIguRKQWxm7CqJioVKpIJVKYW5uDqlUqp31/J8zohMRvYnep6WWLl2KS5cuYfz48fjyyy9RvXp1AEBwcDBatGhh8AKJqGx4+vQpVq9ejQMHDmjbrK2tGWyISG96H7lp0KABrl69mqN98eLFnBmUiPQmhMDly5exb98+ZGdnIyMjAx06dIBSyXFkRFQ4hZ4T/+LFi7hx4wYAoE6dOmjcuLHBiiKisiEzMxN79+7F33//DQCoXr06+vTpw2BDRG9F73Dz9OlTDBw4ECdPntTenO7ly5do3749tmzZggoVKhi6RiIyQbGxsQgKCsLz588hlUrRoUMHtGzZkjOgE9Fb03vMzaeffoqUlBRcv34dCQkJSEhIwLVr15CUlITPPvusKGokIhOTnZ2NwMBAPH/+HLa2thgxYgRatWrFYENEBqH3kZsDBw7gyJEjqF27tratTp06WL58OTp37mzQ4ojINJmbm6NHjx64ePEi/P39eRqKiAxK73Cj0Wggk8lytMtkMu38N0RE//bkyRNkZGRo56vx8vJCzZo1ebSGiAxO79NSHTp0wIQJE/DkyRNt2+PHjzFx4kR07NjRoMURUeknhMC5c+ewdu1aBAUFITExUbuMwYaIioLeR25++ukn9OrVC56ennB3dwcAPHz4EPXq1cPvv/9u8AKJqPRKT0/H7t27tVdWenh48Oa6RFTk9A437u7uuHTpEo4ePar9g1W7dm34+voavDgiKr0ePXqE4OBgvHz5EmZmZujcuTOaNm3KozVEVOT0Cjdbt27F7t27oVKp0LFjR3z66adFVRcRlVJCCJw9exaHDx+GRqOBvb09AgIC4OrqauzSiKiMKHC4WblyJcaNG4caNWrA0tISO3bsQFRUFBYvXlyU9RFRKSORSBAfHw+NRoO6deuiZ8+esLCwMHZZRFSGFHhA8U8//YQ5c+YgMjIS4eHh+PXXX7FixYqirI1KMCEE0lTZ+TzUxi6RipkQQvv/Xbp0Qd++fdG/f38GGyIqdgU+cnP37l0MHz5c+3zw4MH48MMPERMTAxcXlyIpjkomIQT6rwrDxfsvjF0KlQBCCISGhuL+/fsYPHgwJBIJZDIZGjRoYOzSiKiMKnC4yczMhJWVlfa5VCqFXC5Henp6kRRGJVd6lrrAwcbHwx6WMt5Q1VSlpqZi586duHPnDgDg5s2bOhN8EhEZg14DimfNmqUzk6hKpcKCBQtgZ2enbVuyZInhqqMS78JMXyjleYcXS5kZr44xUffv30dwcDCSk5Nhbm6Obt26oVatWsYui4io4OGmTZs2iIyM1Glr0aIF7t69q33OD7GyRyk3g1Je6JvLUymk0Whw+vRpHD9+HEIIVKhQAQEBAXBycjJ2aUREAPQINydOnCjCMoiotNi7dy8uXrwIAPD29ka3bt04MR8RlSh6336hKCxfvhyenp6wsLBAs2bNcP78+QKtt2XLFkgkEvj7+xdtgUSk9c4778DS0hJ9+vSBv78/gw0RlThGDzdbt27FpEmTMGfOHFy6dAkNGzaEn58fnj59mu969+7dw+TJk9G6detiqpSobNJoNHj48KH2ubOzMyZOnIiGDRsasSoiorwZPdwsWbIEo0ePxsiRI1GnTh2sWrUKSqUS69aty3MdtVqN999/H/PmzdPeYZiIDC85ORkbN27Ehg0b8PjxY207j9YQUUlm1JGgKpUKFy9exPTp07VtUqkUvr6+CAsLy3O9r776Ck5OTvjwww8REhJSHKWWekIIpGcZZmI9TtBXNty5cwc7d+5Eamoq5HI5kpOTjV0SEVGBGDXcxMfHQ61Wo2LFijrtFStWxM2bN3Nd5/Tp01i7di3Cw8ML9BqZmZnIzMzUPk9KSip0vaUVJ90jfWg0Ghw7dgynT58G8Oo0VEBAAMqXL2/kyoiICqZQp6VCQkIwZMgQNG/eXHuo+rffftP+MSwqycnJGDp0KFavXg1HR8cCrbNo0SLY2dlpH+7u7kVaY0mkz6R7+uAEfaYnMTERGzZs0P4uv/POOxg1ahSDDRGVKnofudm+fTuGDh2K999/H5cvX9YeFUlMTMTChQuxb9++Am/L0dERZmZmiIuL02mPi4uDs7Nzjv5RUVG4d+8eevbsqW3TaDSv3oi5OSIjI1GtWjWddaZPn45JkyZpnyclJZXJgPPamybd0wcn6DM9N27cwIMHD6BQKNCrVy/UrVvX2CUREelN73Azf/58rFq1CsOGDcOWLVu07S1btsT8+fP12pZcLkeTJk1w9OhR7eXcGo0GR48exfjx43P0r1WrFq5evarTNnPmTCQnJ2PZsmW5hhaFQgGFQqFXXaaMk+5Rfpo1a4bk5GQ0adIEDg4Oxi6HiKhQ9P6Ui4yMRJs2bXK029nZ4eXLl3oXMGnSJAwfPhw+Pj5o2rQpli5ditTUVIwcORIAMGzYMLi5uWHRokWwsLBAvXr1dNYvV64cAORoJ6I3e/nyJY4fP47u3btDLpdDIpGgU6dOxi6LiOit6B1unJ2dcefOHXh6euq0nz59ulCXZQ8cOBDPnj3D7NmzERsbC29vbxw4cEA7yPjBgweQSo1+xTqRybl58yZ27dqFjIwMyOVydO/e3dglEREZhN7hZvTo0ZgwYQLWrVsHiUSCJ0+eICwsDJMnT8asWbMKVcT48eNzPQ0FvPm2Dxs2bCjUaxKVVWq1GocPH8bZs2cBAG5ubmjZsqWRqyIiMhy9w820adOg0WjQsWNHpKWloU2bNlAoFJg8eTI+/fTToqiRiAzkxYsXCAoKwpMnTwC8uvltx44dYWbGq96IyHToHW4kEgm+/PJLTJkyBXfu3EFKSgrq1KkDa2vroqiPiAzk3r172Lx5MzIzM7X3hqpZs6axyyIiMrhCXzYjl8tRp04dQ9ZCREWofPnyMDc3R8WKFdGvXz/Y2dkZuyQioiKhd7hp3759vnObHDt27K0KIiLDSUtLg1KpBADY2Nhg5MiRsLe352koIjJpeocbb29vnedZWVkIDw/HtWvXMHz4cEPVRURv6erVq9izZw969+6tPcpa0Jm9iYhKM73DzX//+99c2+fOnYuUlJS3LoiI3k5WVhYOHDiAixcvAgCuXLnCU8hEVKYYbAKZIUOGYN26dYbaHBEVQnx8PNasWYOLFy9CIpGgbdu2GDhwoLHLIiIqVgabhz8sLAwWFhaG2hwR6enKlSvYs2cPsrKyYG1tjb59+xZqYk0iotJO73DTt29fnedCCMTExODChQuFnsSPCk8IgfQsdb590lT5L6fSLyYmBjt37gQAVKlSBf369eP0DERUZukdbv59+ahUKoWXlxe++uordO7c2WCF0ZsJIdB/VRgu3n9h7FLIyFxcXNCiRQsoFAq0bt2atywhojJNr3CjVqsxcuRI1K9fH/b29kVVExVQepZar2Dj42EPSxkvATYFQghcuXIFVatWha2tLQDwywUR0f/RK9yYmZmhc+fOuHHjBsNNCXNhpi+U8vyDi6XMLN85iqh0yMzMxN69e/H333+jcuXKGDFiBI/UEBH9g96nperVq4e7d++iSpUqRVEPFZJSbgal3GDjw6mEio2NRVBQEJ4/fw6pVIqaNWsysBIR/Yven4bz58/H5MmT8fXXX6NJkyawsrLSWf76EDkRGY4QAhcvXsSBAweQnZ0NW1tb9O/fH5UrVzZ2aUREJU6Bw81XX32F//znP+jWrRsAoFevXjrfGIUQkEgkUKt5ZQ6RIWVmZmL37t24fv06AKBmzZrw9/fX3laBiIh0FTjczJs3D2PGjMHx48eLsh4i+hepVIpnz55BKpXC19cXzZs356koIqJ8FDjcCCEAAG3bti2yYojolde/bxKJBDKZDAEBAcjMzESlSpWMXBkRUcmn15gbflskKnoZGRn4448/4OrqitatWwMAKlSoYOSqiIhKD73CTUGuzEhISHirgojKssePHyMoKAgvX77EnTt30KhRI840TESkJ73Czbx583LMUExEb08IgbNnz+LIkSNQq9Wwt7dHQEAAgw0RUSHoFW7ee+89ODk5FVUtRGVSeno6du3ahcjISABAnTp10KtXL96IloiokAocbjjehsjw1Go11qxZg+fPn8Pc3Bx+fn7w8fHh7xsR0VvQ+2opIjIcMzMzvPvuuzh79iwCAgLg7Oxs7JKIiEq9AocbjUZTlHUQlRlpaWlITU3VXgHl4+MDb29vyGQyI1dGRGQaeDMiomJ0//59BAcHw9zcHB9//DEsLCy0c9kQEZFhMNwQFQMhBEJCQnD8+HEIIeDo6Ii0tDQOGiYiKgIMN0RFLCUlBTt37kRUVBQAwNvbG926dYNcLjdyZUREponhhqgIRUdHY/v27UhJSYFMJkP37t3h7e1t7LKIiEwaww1REQoLC0NKSgqcnJwQEBDA2ygQERUDhhuiIuTv74/Tp0+jffv2HDRMRFRMpMYugMiUREVF4dChQ9rnSqUSnTt3ZrAhIipGPHJDZAAajQbHjx/H6dOnIYSAu7s7ateubeyyiIjKJIYboreUlJSE7du34/79+wBeTcpXvXp1I1dFRFR2MdwQvYXbt29j586dSEtLg0KhQK9evVC3bl1jl0VEVKYx3BAVUkhICI4ePQoAcHV1Rf/+/eHg4GDkqoiIiOGGqJBcXFwgkUjQtGlTdOrUCebm/HUiIioJ+NeYSA+pqamwsrICAFSvXh1jx47l3DVERCUMLwUnKgC1Wo0DBw7gxx9/xIsXL7TtDDZERCUPww3RG7x48QLr1q3D2bNnkZGRgdu3bxu7JCIiygdPSxHlIyIiArt370ZGRgYsLS3h7+8PLy8vY5dFRET5YLghykV2djYOHTqE8+fPAwDc3d3Rv39/2NnZGbkyIiJ6E4YbolycO3dOG2xatWqF9u3bw8zMzMhVERFRQTDcEOWiWbNmiI6ORrNmzVCjRg1jl0NERHrggGIiAFlZWThz5gw0Gg0AwNzcHEOGDGGwISIqhXjkhsq8+Ph4BAUFIS4uDhkZGejQoYOxSyIiorfAcENl2pUrV7B3716oVCpYW1vD09PT2CUREdFbYrihMkmlUmH//v24fPkyAKBKlSro168frK2tjVwZERG9LYYbKnOePXuGbdu24dmzZ5BIJGjXrh1at24NqZRD0IiITAHDDZU5Qgi8fPkSNjY26NevH09FERGZGIYbKhM0Go32yIyTkxMGDhwIFxcX7U0wiYjIdPA4PJm82NhYrFy5Eg8ePNC2Va9encGGiMhEMdyQyRJC4MKFC1izZg2ePXuGQ4cOQQhh7LKIiKiI8bQUmaTMzEz8+eefuHbtGgCgRo0a6NOnDyQSiZErIyKiosZwQyYnJiYGQUFBSEhIgFQqha+vL5o3b85gQ0RURjDckEl5+vQp1qxZA7VaDTs7O/Tv3x/u7u7GLouIiIoRww2ZlAoVKqBmzZrQaDTw9/eHpaWlsUsiIqJiViIGFC9fvhyenp6wsLBAs2bNcP78+Tz7rl69Gq1bt4a9vT3s7e3h6+ubb38yfU+ePEFGRgYAQCKRoG/fvnjvvfcYbIiIyiijh5utW7di0qRJmDNnDi5duoSGDRvCz88PT58+zbX/iRMnMGjQIBw/fhxhYWFwd3dH586d8fjx42KunIxNCIGwsDCsXbsWf/75p/ZKKJlMxvE1RERlmNHDzZIlSzB69GiMHDkSderUwapVq6BUKrFu3bpc+wcGBmLs2LHw9vZGrVq1sGbNGmg0Ghw9erSYKydjSk9Px5YtW3Dw4EGo1WoIIaBWq41dFhERlQBGHXOjUqlw8eJFTJ8+Xdv2+uqWsLCwAm0jLS0NWVlZcHBwKKoyDU8IICst7+Wq/78sTZUNIDvXbmmqsvlh/vDhQwQHByMxMRFmZmbo0qULfHx8eLSGiIgAGDncxMfHQ61Wo2LFijrtFStWxM2bNwu0jalTp8LV1RW+vr65Ls/MzERmZqb2eVJSUuELNgQhgHV+wMNzBereZP4RpMOiiIsqHYQQOHPmDI4ePQqNRgMHBwcEBATAxcXF2KUREVEJUqqvlvrmm2+wZcsWnDhxAhYWuQeARYsWYd68ecVcWT6y0gocbP7S1EQ6FG/s5+NhD0uZ2dtWVuJlZGTg7Nmz0Gg0qF+/Pnr06AGF4s37h4iIyhajhhtHR0eYmZkhLi5Opz0uLg7Ozs75rvv999/jm2++wZEjR9CgQYM8+02fPh2TJk3SPk9KSio5855MvgPIlTma01TZ/3fERoELMztBKc8/uFjKzMrEKRlLS0v0798f8fHxaNy4cZl4z0REpD+jhhu5XI4mTZrg6NGj8Pf3BwDt4ODx48fnud53332HBQsW4ODBg/Dx8cn3NRQKRcn9di9XAvLcbt6YrT0VpZSbQSkv1QfYCk0IgZCQEJQrV04bYD08PODh4WHkyoiIqCQz+qfmpEmTMHz4cPj4+KBp06ZYunQpUlNTMXLkSADAsGHD4ObmhkWLFgEAvv32W8yePRubNm2Cp6cnYmNjAQDW1tawtrY22vsgw0pJScHOnTsRFRUFmUwGT09P2NraGrssIiIqBYwebgYOHIhnz55h9uzZiI2Nhbe3Nw4cOKAdZPzgwQNIpf//ivWVK1dCpVKhf//+OtuZM2cO5s6dW5ylUxGJjo7G9u3bkZKSAplMhm7dusHGxsbYZRERUSlh9HADAOPHj8/zNNSJEyd0nt+7d6/oCyKj0Gg0OHXqFE6ePAkhBJycnBAQEIAKFSoYuzQiIipFSkS4MRlvmr8G0JnDhv4/jUaD33//HXfv3gUANG7cGF27doVMJjNyZUREVNow3BiKnvPXkC6pVApXV1c8evQIPXr0yPcKOCIiovww3BiKHvPXAADc3wVkOS8DL0s0Gg3S09NhZfXqirH27dujcePGpWu2aSIiKnEYbopCHvPX6JApgTI8T0tSUhKCg4OhVqvxwQcfwMzMDGZmZgw2RET01hhuikKe89cQANy+fRs7d+5EWloaFAoFnj59ylsoEBGRwTDcULFRq9U4duwYQkNDAQAuLi4ICAjg0RoiIjIohhsqFi9fvkRwcDAePXoEAGjWrBk6deoEc3P+EyQiIsPiJwsVi927d+PRo0ewsLBA7969Ubt2bWOXREREJorhhopFjx49sGfPHvTs2RP29vbGLoeIiEyY9M1diPT34sULXLp0SfvcwcEBw4YNY7AhIqIixyM3ZHARERHYvXs3MjMzUa5cOVStWtXYJRERURnCcEMGk52djUOHDuH8+fMAAHd3d14JRURExY7hhgwiISEBQUFBiImJAQC0bNkSHTp0gJmZmZErIyKisobhht7a9evXtaehlEol+vTpgxo1ahi7LCIiKqMYbuitqVQqZGZmwsPDA/369YOtra2xSyIiojKM4YYKRaPRQCp9dbGdt7c35HI5ateurW0jIiIyFn4Skd6uXLmClStXIi0tDQAgkUhQt25dBhsiIioReOTGCIQQSM9S57k8TZX3MmNSqVTYv38/Ll++DAA4d+4c2rdvb+SqiIiIdDHcFDMhBPqvCsPF+y+MXYpenj59iqCgIDx79gwSiQRt27ZFmzZtjF0WERFRDgw3xSw9S13gYOPjYQ9LmXEvpRZCIDw8HPv27UNWVhasra3Rr18/VKlSxah1ERER5YXhxoguzPSFUp53eLGUmUEikRRjRTn99ddf2LdvHwCgWrVq6NOnD6ytrY1aExERUX4YboxIKTeDUl6yfwQNGjTA2bNn0ahRI7Rq1croYYuIiOhNSvYnKxU7IQTu3r2LqlWrQiKRwMLCAmPHjoW5Of+pEBFR6cBrd0krMzMT27dvx2+//aZzR28GGyIiKk34qUUAgJiYGAQFBSEhIQFSqRRZWVnGLomo1FCr1fydITIAuVxukDnTGG7KOCEE/vrrLxw8eBBqtRp2dnbo378/3N3djV0aUYknhEBsbCxevnxp7FKITIJUKkWVKlUgl8vfajsMN2VYRkYGdu/ejYiICACAl5cX/P39YWlpaeTKiEqH18HGyckJSqWSA+6J3oJGo8GTJ08QExODypUrv9XvE8NNGRYXF4cbN27AzMwMnTp1QrNmzfjHmaiA1Gq1NtiUL1/e2OUQmYQKFSrgyZMnyM7OhkwmK/R2GG7KMA8PD3Tr1g2urq5wc3MzdjlEpcrrMTZKpdLIlRCZjteno9Rq9VuFG14tVYakp6dj+/btiI+P17a98847DDZEb4FHO4kMx1C/TzxyU0Y8fPgQwcHBSExMREJCAkaNGsU/ykREZJJ45MbECSEQGhqK9evXIzExEQ4ODujRoweDDRGVKJGRkXB2dkZycrKxSykz4uPj4eTkhEePHhm7FINjuDFhaWlp2LRpEw4fPgyNRoN69erh448/houLi7FLIyIjGjFiBCQSCSQSCWQyGSpWrIhOnTph3bp10Gg0On09PT0hkUhw9uxZnfbPP/8c7dq10z6fO3cuJBIJxowZo9MvPDwcEokE9+7dy7em6dOn49NPP4WNjU2OZbVq1YJCoUBsbGyOZZ6enli6dGmO9rlz58Lb21unLTY2Fp9++imqVq0KhUIBd3d39OzZE0ePHs23trcVFBSEWrVqwcLCAvXr19fery8/gYGBaNiwIZRKJVxcXPDBBx/g+fPn2uWrV69G69atYW9vD3t7e/j6+uL8+fPa5VlZWZg6dSrq168PKysruLq6YtiwYXjy5Im2j6OjI4YNG4Y5c+YY9g2XAAw3JiohIQGrVq3C7du3YW5ujp49e6Jfv35QKBTGLo2ISoAuXbogJiYG9+7dw/79+9G+fXtMmDABPXr0QHZ2tk5fCwsLTJ069Y3btLCwwNq1a3H79m29annw4AH27NmDESNG5Fh2+vRppKeno3///vj111/12u4/3bt3D02aNMGxY8ewePFiXL16FQcOHED79u0xbty4Qm/3Tc6cOYNBgwbhww8/xOXLl+Hv7w9/f39cu3Ytz3VCQ0MxbNgwfPjhh7h+/TqCgoJw/vx5jB49WtvnxIkTGDRoEI4fP46wsDC4u7ujc+fOePz4MYBXX24vXbqEWbNm4dKlS9ixYwciIyPRq1cvndcaOXIkAgMDkZCQUDQ7wEg45sZE2dnZwc7ODnK5HAEBAahYsaKxSyIyeUIIpGepjfLaljIzvU43KxQKODs7AwDc3NzQuHFjvPvuu+jYsSM2bNiAUaNGaft+9NFHWLVqFfbt24du3brluU0vLy84OTnhyy+/xLZt2wpcy7Zt29CwYcNcL25Yu3YtBg8ejLZt22LChAkFClm5GTt2LCQSCc6fPw8rKytte926dfHBBx8UapsFsWzZMnTp0gVTpkwBAHz99dc4fPgwfvrpJ6xatSrXdcLCwuDp6YnPPvsMAFClShV8/PHH+Pbbb7V9AgMDddZZs2YNtm/fjqNHj2LYsGGws7PD4cOHdfr89NNPaNq0KR48eIDKlSsDePX+XV1dsXPnTnz44YcGe9/GxnBjQlJTU2FhYQEzMzOYmZlhwIABUCgUbz3TIxEVTHqWGnVmHzTKa0d85Qel/O3+pHfo0AENGzbEjh07dMJNlSpVMGbMGEyfPh1dunTJd3r8b775Bu+88w4uXLgAHx+fAr1uSEhIrn2Tk5MRFBSEc+fOoVatWkhMTERISAhat26t1/tKSEjAgQMHsGDBAp1g81q5cuXyXDcwMBAff/xxvtvfv39/njWFhYVh0qRJOm1+fn7YtWtXnttr3rw5ZsyYgX379qFr1654+vQpgoOD8w2WaWlpyMrKgoODQ559EhMTIZFIcrzfpk2bIiQkxKTCDU9LmYjo6GisXLlS59yxjY0Ngw0R6aVWrVq5jo+ZOXMmoqOjcxwx+LfGjRtjwIABeh1huX//PlxdXXO0b9myBTVq1EDdunVhZmaG9957D2vXri3wdl+7c+cOhBCoVauW3uv26tUL4eHh+T7yC3GxsbE5jpxXrFgx1/FDr7Vs2RKBgYEYOHAg5HI5nJ2dYWdnh+XLl+e5ztSpU+Hq6gpfX99cl2dkZGDq1KkYNGgQbG1tdZa5urri/v37eW67NOKRm1JOo9Hg1KlTOHnyJIQQuHPnDtq3b/9Wkx8RUeFYyswQ8ZWf0V7bEIQQuZ7eqlChAiZPnozZs2dj4MCB+W5j/vz5qF27Ng4dOgQnJ6c3vmZ6ejosLCxytK9btw5DhgzRPh8yZAjatm2LH3/8MdeBx3kRQhS477/Z2Njo9VqGEBERgQkTJmD27Nnw8/NDTEwMpkyZgjFjxuQa7r755hts2bIFJ06cyHU/ZmVlYcCAARBCYOXKlTmWW1paIi0trUjei7HwyE0plpycjN9++w0nTpyAEAKNGjXC6NGjGWyIjEQikUApNzfKw1DTO9y4cQNVqlTJddmkSZOQnp6OFStW5LuNatWqYfTo0Zg2bVqBgoWjoyNevHih0xYREYGzZ8/iiy++gLm5OczNzfHuu+8iLS0NW7Zs0faztbVFYmJijm2+fPkSdnZ2AIAaNWpAIpHg5s2bb6zl3wIDA2FtbZ3vIyQkJM/1nZ2dERcXp9MWFxenHe+Um0WLFqFly5aYMmUKGjRoAD8/P6xYsQLr1q1DTEyMTt/vv/8e33zzDQ4dOoQGDRrk2NbrYHP//n0cPnw4x1Eb4NVpuwoVKrxpV5QqPHJTSkVFRWHHjh1ITU2FXC5H9+7d0bBhQ2OXRUSl2LFjx3D16lVMnDgx1+XW1taYNWsW5s6dm+Oqm3+bPXs2qlWrphNE8tKoUSPtDXxfW7t2Ldq0aZPjVMz69euxdu1a7ZVDXl5euHjxYo5tXrp0CV5eXgAABwcH+Pn5Yfny5fjss89yjLt5+fJlnuNuevXqhWbNmuVbf36zvDdv3hxHjx7F559/rm07fPgwmjdvnuc6aWlpMDfX/Xg2M3t1ZO6fYfG7777DggULcPDgwVxPjb0ONrdv38bx48fzvAfatWvXdC7rNwmijElMTBQARGJiomE3nJkixBzbV4/MlDy7pWZmCY+pe4TH1D0iNTOrUC+Vnp4uFi1aJObMmSNWrFghnj17VtiqiaiQ0tPTRUREhEhPTzd2KXobPny46NKli4iJiRGPHj0SFy9eFAsWLBDW1taiR48eIjs7W9vXw8ND/Pe//9U+V6lUolq1asLCwkK0bdtW2z5nzhzRsGFDndeZNWuWsLCwEABEdHR0nvXs3r1bODk5aV9XpVKJChUqiJUrV+boGxERIQCIa9euCSGECA0NFVKpVMyfP19ERESIq1evihkzZghzc3Nx9epV7XpRUVHC2dlZ1KlTRwQHB4tbt26JiIgIsWzZMlGrVi099p5+QkNDhbm5ufj+++/FjRs3xJw5c4RMJtOpbdq0aWLo0KHa5+vXrxfm5uZixYoVIioqSpw+fVr4+PiIpk2bavt88803Qi6Xi+DgYBETE6N9JCcnCyFe7cNevXqJSpUqifDwcJ0+mZmZ2u2kpqYKS0tLcerUqSLbB/rI7/dKn89vhhtDKcZwI4QQV69eFbt37xYqlarQ2yCiwivt4QaAACDMzc1FhQoVhK+vr1i3bp1Qq9U6ff8dboQQYtOmTQLAG8NNYmKicHR0fGO4ycrKEq6uruLAgQNCCCGCg4OFVCoVsbGxufavXbu2mDhxovb5wYMHRcuWLYW9vb0oX768aNeunTh58mSO9Z48eSLGjRsnPDw8hFwuF25ubqJXr17i+PHjedZmCNu2bRM1a9YUcrlc1K1bV+zdu1dn+fDhw3X2pRBC/O9//xN16tQRlpaWwsXFRbz//vvi0aNH2uUeHh7an+E/H3PmzBFCCBEdHZ3rcgA673fTpk3Cy8urqN663gwVbiRCvMVIq1IoKSkJdnZ2SExMzPXcY6GpUoGF/zfaf8YTQJ7zckMASFNlay8V1efSzdeT8eV1LpyIildGRgaio6NRpUqVXAdxkn6WL1+O3bt34+BB41xKX1a9++67+OyzzzB48GBjlwIg/98rfT6/OeamhFOr1Th27BhCQ0NhbW2NMWPGwNra2thlEREZ1Mcff4yXL18iOTm52K9OKqvi4+PRt29fDBo0yNilGBzDTQmWmJiI4OBgPHz4EABQp04dfkMkIpNkbm6OL7/80thllCmOjo744osvjF1GkWC4KaEiIyOxa9cu7fwPvXr1Qp06dYxdFhERUYnHcFPCaDQaHD58GGFhYQBeXWLYv39/2NvbG7kyIiKi0oHhpoSRSCRITU0F8GqgV6dOnbTzGxAREdGbMdyUEBqNBlKpFBKJBN27d0f9+vVRo0YNY5dFRERU6vD2C0aWnZ2Nffv2YevWrdqZJxUKBYMNERFRIfHIjRElJCRg7x87tfcKefDgATw8PIxcFRERUenGcFME0lTZALLzWKYGAKie3cPaNeEQ2VlQKpXw9/dnsCEiIjIAhhsDEULg9T15m8w/gnTkPh+NUGcjPfoSVLG3oXKtjmpVPNG/f3/DzpZMRET5ioyMRNu2bXH79m1OGlhMVCoVatasieDg4Fxv9GlIHHNjIOlZ6gL1S4sMhSr2NlzLKdG+bRuMGDGCwYaIio1arUaLFi3Qt29fnfbExES4u7vnmEhv+/bt6NChA+zt7WFpaQkvLy988MEHuHz5srbPhg0bIJFItA9ra2s0adIEO3bsKJb39Fq7du107r6dn+nTp+PTTz/NNdjUqlULCoUCsbGxOZZ5enpi6dKlOdrnzp0Lb29vnbbY2Fh8+umnqFq1KhQKBdzd3dGzZ08cPXq0QDUWVlBQEGrVqgULCwvUr18f+/bte+M6gYGBaNiwIZRKJVxcXPDBBx/g+fPnOn2WLl0KLy8vWFpawt3dHRMnTkRGRoZ2+cqVK9GgQQPY2trC1tYWzZs3x/79+7XL5XI5Jk+ejKlTpxruzebF0De9KumK6saZqckvtTfOfPb8uUjNzMr1cSsqWiz69jtx+/Ztg74+ERWv0nzjzMjISGFpaSl+//13bdvQoUNFgwYNdO4Y/cUXXwgzMzMxceJEcerUKXH//n1x4cIF8fXXXws/Pz9tv/Xr1wtbW1vtXadv3bolpk+fLszMzMTNmzeL7X21bdtWTJgw4Y397t+/L2Qymc6NKF8LCQkRlStXFoMHDxbffPNNjuW53UhUiJw3Do2Ojhaurq7au5BHRkaKa9euiR9++KFIb1QZGhoqzMzMxHfffSciIiLEzJkzc9yF/N9Onz4tpFKpWLZsmbh7964ICQkRdevWFX369NH2CQwMFAqFQgQGBoro6Ghx8OBB4eLionMD0927d4u9e/eKW7duicjISDFjxgwhk8m0d3AXQoiEhAQhl8t12v6JdwUvpOIIN6nJL7XtKpUqx91ws7IKfzdwIioZcv0jrNEIkZlinIdGo1f9y5YtE/b29uLJkydi165dQiaTifDwcO3ysLAwAUAsW7Ys1/U1/3i99evXCzs7O53larVayGQysW3bNm1bQkKCGDp0qChXrpywtLQUXbp0Ebdu3dJZLzg4WNSpU0fI5XLh4eEhvv/+e53ly5cvF9WrVxcKhUI4OTmJfv36CSF073T++pHXncgXL14sfHx8cl02YsQIMW3aNLF//35Rs2bNHMsLGm66du0q3NzcREpKSo6+L168yPW1DWHAgAGie/fuOm3NmjUTH3/8cZ7rLF68WFStWlWn7X//+59wc3PTPh83bpzo0KGDTp9JkyaJli1b5luPvb29WLNmjU5b+/btxcyZM3Ptb6hwwzE3RejZs2cICgpCQkICRo8ejYoVKwJ4dQ8VIjJBWWnAQlfjvPaMJ4DcqsDdP/30U+zcuRNDhw7F1atXMXv2bDRs2FC7fPPmzbC2tsbYsWNzXV8ikeTaDrw69bVx40YAQOPGjbXtI0aMwO3bt7F7927Y2tpi6tSp6NatGyIiIiCTyXDx4kUMGDAAc+fOxcCBA3HmzBmMHTsW5cuXx4gRI3DhwgV89tln+O2339CiRQskJCQgJCQEALBs2TLcunUL9erVw1dffQUAqFChQq71hYSE5DrmIzk5GUFBQTh37hxq1aqFxMREhISEoHXr1m/Ym7oSEhJw4MABLFiwAFZWOX8m5cqVy3PdwMBAfPzxx/luf//+/XnWFBYWhkmTJum0+fn5YdeuXXlur3nz5pgxYwb27duHrl274unTpwgODka3bt20fVq0aIHff/8d58+fR9OmTXH37l3s27cPQ4cOzXWbarUaQUFBSE1NRfPmzXWWNW3aVPtzKyol4lN2+fLlWLx4MWJjY9GwYUP8+OOPaNq0aZ79g4KCMGvWLNy7dw81atTAt99+q/NDMDYhBC5fvox9+/YhKysL1tbWyMzMNHZZRERaEokEK1euRO3atVG/fn1MmzZNZ/mtW7dQtWpVnS9jS5YswezZs7XPHz9+DDs7OwCvxuxYW1sDANLT0yGTyfDLL7+gWrVqAKANNaGhoWjRogWAVx/k7u7u2LVrFwICArBkyRJ07NgRs2bNAgDUrFkTERERWLx4MUaMGIEHDx7AysoKPXr0gI2NDTw8PNCoUSMAgJ2dHeRyOZRKJZydnfN97/fv38813GzZsgU1atRA3bp1AQDvvfce1q5dq3e4uXPnDoQQqFWrll7rAUCvXr3QrFmzfPu4ubnluSw2Nlb7Rfq1ihUr5jp+6LWWLVsiMDAQAwcOREZGBrKzs9GzZ08sX75c22fw4MGIj49Hq1atIIRAdnY2xowZgxkzZuhs6+rVq2jevDkyMjJgbW2NnTt35rgvoqurK+7fv5/ve3xbRg83W7duxaRJk7Bq1So0a9YMS5cuhZ+fHyIjI+Hk5JSj/5kzZzBo0CAsWrQIPXr0wKZNm+Dv749Lly6hXr16RngHOe3btxfXb9wGAFSrVg19+vTR/tITkQmTKV8dQTHWa+tp3bp1UCqViI6OxqNHj+Dp6Zlv/w8++AC9evXCuXPnMGTIEO3EowBgY2ODS5cuAQDS0tJw5MgRjBkzBuXLl0fPnj1x48YNmJub63xwly9fHl5eXrhx4wYA4MaNG+jdu7fOa7Zs2RJLly6FWq1Gp06d4OHhgapVq6JLly7o0qUL+vTpA6VSv/f++obEue2PIUOGaJ8PGTIEbdu2xY8//qjXFVX/3C/6srGxKfartyIiIjBhwgTMnj0bfn5+iImJwZQpUzBmzBisXbsWAHDixAksXLgQK1asQLNmzXDnzh1MmDABX3/9tTaMAoCXlxfCw8ORmJiI4OBgDB8+HCdPntQJOJaWlkhLSyvS92T0q6WWLFmC0aNHY+TIkahTpw5WrVoFpVKJdevW5dp/2bJl6NKlC6ZMmYLatWvj66+/RuPGjfHTTz8Vc+V5u37tGiQSCTp06IAhQ4Yw2BCVFRLJq1NDxnjkc5ooN2fOnMF///tf7NmzB02bNsWHH36o86Fco0YN3L17F1lZWdq2cuXKoXr16rkeOZBKpahevTqqV6+OBg0aYNKkSWjXrh2+/fbbwu/Pf3kdoDZv3gwXFxftqbSXL1/qtR1HR0e8ePFCpy0iIgJnz57FF198AXNzc5ibm+Pdd99FWloatmzZou1na2uLxMTEHNt8+fKl9ihWjRo1IJFIcPPmTb3fY2BgIKytrfN95HdKx9nZGXFxcTptcXFx+R7NWrRoEVq2bIkpU6agQYMG8PPzw4oVK7Bu3TrtJLOzZs3C0KFDMWrUKNSvXx99+vTBwoULsWjRImg0Gu225HI5qlevjiZNmmDRokVo2LAhli1bpvN6CQkJeZ4yNBSjhhuVSoWLFy/C19dX2yaVSuHr66u9K/a/hYWF6fQHXp1PzKt/ZmYmkpKSdB5FzdrKGiNGjECbNm3yPS9NRGQMaWlpGDFiBD755BO0b98ea9euxfnz57Fq1Sptn0GDBiElJQUrVqwo9OuYmZkhPT0dAFC7dm1kZ2fj3Llz2uXPnz9HZGSk9lt97dq1ERoaqrON0NBQ1KxZU3sDYXNzc/j6+uK7777D33//jXv37uHYsWMAXn2wqtVvnpajUaNGiIiI0Glbu3Yt2rRpgytXriA8PFz7mDRpkvboBfDqyMTFixdzbPPSpUuoWbMmAMDBwQF+fn5Yvny59kbI/5RfGOvVq5fO6+f2yG+OmObNm+e41Pzw4cM5xr38U1paGqRS3Tjwen+/DrwF6ZMbjUaTY1jGtWvXtKcTi8wbhxwXocePHwsA4syZMzrtU6ZMEU2bNs11HZlMJjZt2qTTtnz5cuHk5JRr/zlz5uQYQY8ivlrqadwTg26biEqe0nwp+GeffSaqV68uUlNTtW2rVq0S1tbWOlcY/ec//9FeCh4SEiLu3bsnwsLCxJAhQ4REItH+Hf33peB3794VP//8szAzMxPz5s3Tbq93796iTp06IiQkRISHh4suXbqI6tWrC5VKJYQQ4uLFi0IqlYqvvvpKREZGig0bNghLS0uxfv16IYQQf/75p1i2bJm4fPmyuHfvnlixYoWQSqXay4pHjx4t3nnnHREdHS2ePXsm1Gp1ru9/9+7dwsnJSWRnZwshXl3VWqFCBbFy5cocfSMiIgQA7WuEhoYKqVQq5s+fLyIiIsTVq1fFjBkzhLm5uc7l1lFRUcLZ2Vl7KfitW7dERESEWLZsmahVq5a+P7ICCw0NFebm5uL7778XN27cEHPmzMlxKfi0adPE0KFDtc/Xr18vzM3NxYoVK0RUVJQ4ffq08PHx0fkcnjNnjrCxsRGbN28Wd+/eFYcOHRLVqlUTAwYM0NnuyZMnRXR0tPj777/FtGnThEQiEYcOHdKp0cPDQ2zcuDHX+k3iUvDiCDcZGRkiMTFR+3j48GGRhBuNWi1Sk1+K1OSXQpPHLxQRmY7SGm5OnDghzMzMREhISI5lnTt3Fh06dNC5zHvr1q2iXbt2ws7OTshkMlGpUiUxePBgcfbsWW2f9evX63x5VCgUombNmmLBggXaACHE/78U3M7OTlhaWgo/P788LwWXyWSicuXKYvHixdplISEhom3btsLe3l5YWlqKBg0aiK1bt2qXR0ZGinfffVdYWlrmeyl4VlaWcHV1FQcOHNC+plQqFbGxsbn2r127ts58LgcPHhQtW7YU9vb2onz58qJdu3bi5MmTOdZ78uSJGDdunPDw8BByuVy4ubmJXr16iePHj+f6Ooaybds2UbNmTSGXy0XdunXF3r17dZYPHz5ctG3bVqftf//7n6hTp46wtLQULi4u4v3339eZBygrK0vMnTtXVKtWTVhYWAh3d3cxduxYncvaP/jgA+17rVChgujYsWOOYHPmzBlRrlw5kZaWlmvthgo3EiHeYuTTW1KpVFAqlQgODoa/v7+2ffjw4Xj58iX++OOPHOtUrlwZkyZN0pmFcs6cOdi1axeuXLnyxtdMSkqCnZ0dEhMTOTMwERVaRkYGoqOjUaVKlVwHp1LJtnz5cuzevRsHDx40dillysCBA9GwYcMcV1m9lt/vlT6f30YdcyOXy9GkSROd84MajQZHjx7N8/xgYc4nEhER/dPHH3+MNm3aIDk52dillBkqlQr169fHxIkTi/y1jH4p+KRJkzB8+HD4+PigadOmWLp0KVJTUzFy5EgAwLBhw+Dm5oZFixYBACZMmIC2bdvihx9+QPfu3bFlyxZcuHABv/zyizHfBhERlSLm5uY57qNFRUsul2PmzJnF8lpGDzcDBw7Es2fPMHv2bMTGxsLb2xsHDhzQTkL04MEDnRHaLVq0wKZNmzBz5kzMmDEDNWrUwK5du0rMHDdERERkXEYdc2MMHHNDRIbAMTdEhmcSY26IiEq7Mvb9kKhIGer3ieGGiKgQZDIZABT5NPJEZYlKpQLw/ycILCyjj7khIiqNzMzMUK5cOTx9+hQAoFQqOSM50VvQaDR49uwZlEqlzg1bC4PhhoiokF7fr+d1wCGityOVSlG5cuW3/qLAcENEVEgSiQQuLi5wcnLSucEkERWOXC7PcQ+rwmC4ISJ6S2ZmZm89RoCIDIcDiomIiMikMNwQERGRSWG4ISIiIpNS5sbcvJ4gKCkpyciVEBERUUG9/twuyER/ZS7cvL4DrLu7u5ErISIiIn0lJyfDzs4u3z5l7t5SGo0GT548gY2NjcEn3EpKSoK7uzsePnzI+1YVIe7n4sH9XDy4n4sP93XxKKr9LIRAcnIyXF1d33i5eJk7ciOVSlGpUqUifQ1bW1v+4hQD7ufiwf1cPLifiw/3dfEoiv38piM2r3FAMREREZkUhhsiIiIyKQw3BqRQKDBnzhwoFApjl2LSuJ+LB/dz8eB+Lj7c18WjJOznMjegmIiIiEwbj9wQERGRSWG4ISIiIpPCcENEREQmheGGiIiITArDjZ6WL18OT09PWFhYoFmzZjh//ny+/YOCglCrVi1YWFigfv362LdvXzFVWrrps59Xr16N1q1bw97eHvb29vD19X3jz4Ve0fff82tbtmyBRCKBv79/0RZoIvTdzy9fvsS4cePg4uIChUKBmjVr8m9HAei7n5cuXQovLy9YWlrC3d0dEydOREZGRjFVWzqdOnUKPXv2hKurKyQSCXbt2vXGdU6cOIHGjRtDoVCgevXq2LBhQ5HXCUEFtmXLFiGXy8W6devE9evXxejRo0W5cuVEXFxcrv1DQ0OFmZmZ+O6770RERISYOXOmkMlk4urVq8Vceemi734ePHiwWL58ubh8+bK4ceOGGDFihLCzsxOPHj0q5spLF33382vR0dHCzc1NtG7dWvTu3bt4ii3F9N3PmZmZwsfHR3Tr1k2cPn1aREdHixMnTojw8PBirrx00Xc/BwYGCoVCIQIDA0V0dLQ4ePCgcHFxERMnTizmykuXffv2iS+//FLs2LFDABA7d+7Mt//du3eFUqkUkyZNEhEREeLHH38UZmZm4sCBA0VaJ8ONHpo2bSrGjRunfa5Wq4Wrq6tYtGhRrv0HDBggunfvrtPWrFkz8fHHHxdpnaWdvvv537Kzs4WNjY349ddfi6pEk1CY/ZydnS1atGgh1qxZI4YPH85wUwD67ueVK1eKqlWrCpVKVVwlmgR99/O4ceNEhw4ddNomTZokWrZsWaR1mpKChJsvvvhC1K1bV6dt4MCBws/PrwgrE4KnpQpIpVLh4sWL8PX11bZJpVL4+voiLCws13XCwsJ0+gOAn59fnv2pcPv539LS0pCVlQUHB4eiKrPUK+x+/uqrr+Dk5IQPP/ywOMos9Qqzn3fv3o3mzZtj3LhxqFixIurVq4eFCxdCrVYXV9mlTmH2c4sWLXDx4kXtqau7d+9i37596NatW7HUXFYY63OwzN04s7Di4+OhVqtRsWJFnfaKFSvi5s2bua4TGxuba//Y2Ngiq7O0K8x+/repU6fC1dU1xy8U/X+F2c+nT5/G2rVrER4eXgwVmobC7Oe7d+/i2LFjeP/997Fv3z7cuXMHY8eORVZWFubMmVMcZZc6hdnPgwcPRnx8PFq1agUhBLKzszFmzBjMmDGjOEouM/L6HExKSkJ6ejosLS2L5HV55IZMyjfffIMtW7Zg586dsLCwMHY5JiM5ORlDhw7F6tWr4ejoaOxyTJpGo4GTkxN++eUXNGnSBAMHDsSXX36JVatWGbs0k3LixAksXLgQK1aswKVLl7Bjxw7s3bsXX3/9tbFLIwPgkZsCcnR0hJmZGeLi4nTa4+Li4OzsnOs6zs7OevWnwu3n177//nt88803OHLkCBo0aFCUZZZ6+u7nqKgo3Lt3Dz179tS2aTQaAIC5uTkiIyNRrVq1oi26FCrMv2cXFxfIZDKYmZlp22rXro3Y2FioVCrI5fIirbk0Ksx+njVrFoYOHYpRo0YBAOrXr4/U1FR89NFH+PLLLyGV8ru/IeT1OWhra1tkR20AHrkpMLlcjiZNmuDo0aPaNo1Gg6NHj6J58+a5rtO8eXOd/gBw+PDhPPtT4fYzAHz33Xf4+uuvceDAAfj4+BRHqaWavvu5Vq1auHr1KsLDw7WPXr16oX379ggPD4e7u3txll9qFObfc8uWLXHnzh1teASAW7duwcXFhcEmD4XZz2lpaTkCzOtAKXjLRYMx2udgkQ5XNjFbtmwRCoVCbNiwQURERIiPPvpIlCtXTsTGxgohhBg6dKiYNm2atn9oaKgwNzcX33//vbhx44aYM2cOLwUvAH338zfffCPkcrkIDg4WMTEx2kdycrKx3kKpoO9+/jdeLVUw+u7nBw8eCBsbGzF+/HgRGRkp9uzZI5ycnMT8+fON9RZKBX3385w5c4SNjY3YvHmzuHv3rjh06JCoVq2aGDBggLHeQqmQnJwsLl++LC5fviwAiCVLlojLly+L+/fvCyGEmDZtmhg6dKi2/+tLwadMmSJu3Lghli9fzkvBS6Iff/xRVK5cWcjlctG0aVNx9uxZ7bK2bduK4cOH6/Tftm2bqFmzppDL5aJu3bpi7969xVxx6aTPfvbw8BAAcjzmzJlT/IWXMvr+e/4nhpuC03c/nzlzRjRr1kwoFApRtWpVsWDBApGdnV3MVZc++uznrKwsMXfuXFGtWjVhYWEh3N3dxdixY8WLFy+Kv/BS5Pjx47n+vX29b4cPHy7atm2bYx1vb28hl8tF1apVxfr164u8TokQPP5GREREpoNjboiIiMikMNwQERGRSWG4ISIiIpPCcENEREQmheGGiIiITArDDREREZkUhhsiIiIyKQw3RKRjw4YNKFeunLHLKDSJRIJdu3bl22fEiBHw9/cvlnqIqPgx3BCZoBEjRkAikeR43Llzx9ilYcOGDdp6pFIpKlWqhJEjR+Lp06cG2X5MTAy6du0KALh37x4kEgnCw8N1+ixbtgwbNmwwyOvlZe7cudr3aWZmBnd3d3z00UdISEjQazsMYkT6413BiUxUly5dsH79ep22ChUqGKkaXba2toiMjIRGo8GVK1cwcuRIPHnyBAcPHnzrbb/p7vEAYGdn99avUxB169bFkSNHoFarcePGDXzwwQdITEzE1q1bi+X1icoqHrkhMlEKhQLOzs46DzMzMyxZsgT169eHlZUV3N3dMXbsWKSkpOS5nStXrqB9+/awsbGBra0tmjRpggsXLmiXnz59Gq1bt4alpSXc3d3x2WefITU1Nd/aJBIJnJ2d4erqiq5du+Kzzz7DkSNHkJ6eDo1Gg6+++gqVKlWCQqGAt7c3Dhw4oF1XpVJh/PjxcHFxgYWFBTw8PLBo0SKdbb8+LVWlShUAQKNGjSCRSNCuXTsAukdDfvnlF7i6uurchRsAevfujQ8++ED7/I8//kDjxo1hYWGBqlWrYt68ecjOzs73fZqbm8PZ2Rlubm7w9fVFQEAADh8+rF2uVqvx4YcfokqVKrC0tISXlxeWLVumXT537lz8+uuv+OOPP7RHgU6cOAEAePjwIQYMGIBy5crBwcEBvXv3xr179/Kth6isYLghKmOkUin+97//4fr16/j1119x7NgxfPHFF3n2f//991GpUiX89ddfuHjxIqZNmwaZTAYAiIqKQpcuXdCvXz/8/fff2Lp1K06fPo3x48frVZOlpSU0Gg2ys7OxbNky/PDDD/j+++/x999/w8/PD7169cLt27cBAP/73/+we/dubNu2DZGRkQgMDISnp2eu2z1//jwA4MiRI4iJicGOHTty9AkICMDz589x/PhxbVtCQgIOHDiA999/HwAQEhKCYcOGYcKECYiIiMDPP/+MDRs2YMGCBQV+j/fu3cPBgwchl8u1bRqNBpUqVUJQUBAiIiIwe/ZszJgxA9u2bQMATJ48GQMGDECXLl0QExODmJgYtGjRAllZWfDz84ONjQ1CQkIQGhoKa2trdOnSBSqVqsA1EZmsIr81JxEVu+HDhwszMzNhZWWlffTv3z/XvkFBQaJ8+fLa5+vXrxd2dnba5zY2NmLDhg25rvvhhx+Kjz76SKctJCRESKVSkZ6enus6/97+rVu3RM2aNYWPj48QQghXV1exYMECnXXeeecdMXbsWCGEEJ9++qno0KGD0Gg0uW4fgNi5c6cQQojo6GgBQFy+fFmnz7/vaN67d2/xwQcfaJ///PPPwtXVVajVaiGEEB07dhQLFy7U2cZvv/0mXFxccq1BCCHmzJkjpFKpsLKyEhYWFtq7Jy9ZsiTPdYQQYty4caJfv3551vr6tb28vHT2QWZmprC0tBQHDx7Md/tEZQHH3BCZqPbt22PlypXa51ZWVgBeHcVYtGgRbt68iaSkJGRnZyMjIwNpaWlQKpU5tjNp0iSMGjUKv/32m/bUSrVq1QC8OmX1999/IzAwUNtfCAGNRoPo6GjUrl0719oSExNhbW0NjUaDjIwMtGrVCmvWrEFSUhKePHmCli1b6vRv2bIlrly5AuDVKaVOnTrBy8sLXbp0QY8ePdC5c+e32lfvv/8+Ro8ejRUrVkChUCAwMBDvvfcepFKp9n2GhobqHKlRq9X57jcA8PLywu7du5GRkYHff/8d4eHh+PTTT3X6LF++HOvWrcODBw+Qnp4OlUoFb2/vfOu9cuUK7ty5AxsbG532jIwMREVFFWIPEJkWhhsiE2VlZYXq1avrtN27dw89evTAJ598ggULFsDBwQGnT5/Ghx9+CJVKleuH9Ny5czF48GDs3bsX+/fvx5w5c7Blyxb06dMHKSkp+Pjjj/HZZ5/lWK9y5cp51mZjY4NLly5BKpXCxcUFlpaWAICkpKQ3vq/GjRsjOjoa+/fvx5EjRzBgwAD4+voiODj4jevmpWfPnhBCYO/evXjnnXcQEhKC//73v9rlKSkpmDdvHvr27ZtjXQsLizy3K5fLtT+Db775Bt27d8e8efPw9ddfAwC2bNmCyZMn44cffkDz5s1hY2ODxYsX49y5c/nWm5KSgiZNmuiEytdKyqBxImNiuCEqQy5evAiNRoMffvhBe1Ti9fiO/NSsWRM1a9bExIkTMWjQIKxfvx59+vRB48aNERERkSNEvYlUKs11HVtbW7i6uiI0NBRt27bVtoeGhqJp06Y6/QYOHIiBAweif//+6NKlCxISEuDg4KCzvdfjW9Rqdb71WFhYoG/fvggMDMSdO3fg5eWFxo0ba5c3btwYkZGRer/Pf5s5cyY6dOiATz75RPs+W7RogbFjx2r7/PvIi1wuz1F/48aNsXXrVjg5OcHW1vataiIyRRxQTFSGVK9eHVlZWfjxxx9x9+5d/Pbbb1i1alWe/dPT0zF+/HicOHEC9+/fR2hoKP766y/t6aapU6fizJkzGD9+PMLDw3H79m388ccfeg8o/qcpU6bg22+/xdatWxEZGYlp06YhPDwcEyZMAAAsWbIEmzdvxs2bN3Hr1i0EBQXB2dk514kHnZycYGlpiQMHDiAuLg6JiYl5vu7777+PvXv3Yt26ddqBxK/Nnj0bGzduxLx583D9+nXcuHEDW7ZswcyZM/V6b82bN0eDBg2wcOFCAECNGjVw4cIFHDx4ELdu3cKsWbPw119/6azj6emJv//+G5GRkYiPj0dWVhbef/99ODo6onfv3ggJCUF0dDROnDiBzz77DI8ePdKrJiKTZOxBP0RkeLkNQn1tyZIlwsXFRVhaWgo/Pz+xceNGAUC8ePFCCKE74DczM1O89957wt3dXcjlcuHq6irGjx+vM1j4/PnzolOnTsLa2lpYWVmJBg0a5BgQ/E//HlD8b2q1WsydO1e4ubkJmUwmGjZsKPbv369d/ssvvwhvb29hZWUlbG1tRceOHcWlS5e0y/GPAcVCCLF69Wrh7u4upFKpaNu2bZ77R61WCxcXFwFAREVF5ajrwIEDokWLFsLS0lLY2tqKpk2bil9++SXP9zFnzhzRsGHDHO2bN28WCoVCPHjwQGRkZIgRI0YIOzs7Ua5cOfHJJ5+IadOm6az39OlT7f4FII4fPy6EECImJkYMGzZMODo6CoVCIapWrSpGjx4tEhMT86yJqKyQCCGEceMVERERkeHwtBQRERGZFIYbIiIiMikMN0RERGRSGG6IiIjIpDDcEBERkUlhuCEiIiKTwnBDREREJoXhhoiIiEwKww0RERGZFIYbIiIiMikMN0RERGRSGG6IiIjIpPw/ZpnJ8kx0t0IAAAAASUVORK5CYII=", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot ROC-AUC curves for DNN and XGBoost models\n", + "from sklearn.metrics import roc_curve, roc_auc_score\n", + "\n", + "fpr, tpr, _ = roc_curve(result_df['Active'].astype(int), result_df['dnn_mean'])\n", + "plt.plot(fpr, tpr, label=f'DNN (AUC = {roc_auc_score(result_df[\"Active\"].astype(int), result_df[\"dnn_mean\"]):.3f})')\n", + "plt.plot([0, 1], [0, 1], 'k--', alpha=0.5)\n", + "fpr, tpr, _ = roc_curve(result_df['Active'].astype(int), result_df['xgb_mean'])\n", + "plt.plot(fpr, tpr, label=f'XGBoost (AUC = {roc_auc_score(result_df[\"Active\"].astype(int), result_df[\"xgb_mean\"]):.3f})')\n", + "plt.legend()\n", + "plt.xlabel('False Positive Rate')\n", + "plt.ylabel('True Positive Rate')\n", + "plt.title('ROC-AUC Curve (mean)')\n", + "plt.show()\n", + "\n", + "fpr, tpr, _ = roc_curve(result_df['Active'].astype(int), result_df['dnn_majority_vote'])\n", + "plt.plot(fpr, tpr, label=f'DNN (AUC = {roc_auc_score(result_df[\"Active\"].astype(int), result_df[\"dnn_majority_vote\"]):.3f})')\n", + "plt.plot([0, 1], [0, 1], 'k--', alpha=0.5)\n", + "fpr, tpr, _ = roc_curve(result_df['Active'].astype(int), result_df['xgb_majority_vote'])\n", + "plt.plot(fpr, tpr, label=f'XGBoost (AUC = {roc_auc_score(result_df[\"Active\"].astype(int), result_df[\"xgb_majority_vote\"]):.3f})')\n", + "plt.legend()\n", + "plt.xlabel('False Positive Rate')\n", + "plt.ylabel('True Positive Rate')\n", + "plt.title('ROC-AUC Curve (majority_vote)')\n", + "plt.show()\n", + "\n", + "for i in range(3):\n", + " fpr, tpr, _ = roc_curve(result_df['Active'].astype(int), result_df[f'dnn_model_n{i}'])\n", + " plt.plot(fpr, tpr, label=f'DNN (model n.{i}) (AUC = {roc_auc_score(result_df[\"Active\"].astype(int), result_df[f\"dnn_model_n{i}\"]):.3f})')\n", + " fpr, tpr, _ = roc_curve(result_df['Active'].astype(int), result_df[f'xgb_model_n{i}'])\n", + " plt.plot(fpr, tpr, label=f'XGBoost (model n.{i}) (AUC = {roc_auc_score(result_df[\"Active\"].astype(int), result_df[f\"xgb_model_n{i}\"]):.3f})', linestyle='dashed')\n", + "plt.legend()\n", + "plt.xlabel('False Positive Rate')\n", + "plt.ylabel('True Positive Rate')\n", + "plt.title(f'ROC-AUC Curve (models)')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" } }, "nbformat": 4,