diff --git "a/scripts/model_construction.ipynb" "b/scripts/model_construction.ipynb" deleted file mode 100644--- "a/scripts/model_construction.ipynb" +++ /dev/null @@ -1,4819 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "id": "9260bb3b-fe82-43ac-a524-fe5100740447", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import h2o\n", - "from h2o.automl import H2OAutoML\n", - "import pyarrow as pa\n", - "import pyarrow.parquet as pq" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "cdee8e40-50fd-4c68-a9c1-aedbb456f05d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Checking whether there is an H2O instance running at http://localhost:54321..... not found.\n", - "Attempting to start a local H2O server...\n", - " Java Version: openjdk version \"11.0.26\" 2025-01-21 LTS; OpenJDK Runtime Environment Corretto-11.0.26.4.1 (build 11.0.26+4-LTS); OpenJDK 64-Bit Server VM Corretto-11.0.26.4.1 (build 11.0.26+4-LTS, mixed mode)\n", - " Starting server from /opt/anaconda3/lib/python3.12/site-packages/h2o/backend/bin/h2o.jar\n", - " Ice root: /var/folders/0g/dw1r8qy968gcyskzn8ddc6r00000gn/T/tmpw4gtd8r1\n", - " JVM stdout: /var/folders/0g/dw1r8qy968gcyskzn8ddc6r00000gn/T/tmpw4gtd8r1/h2o_layla_started_from_python.out\n", - " JVM stderr: /var/folders/0g/dw1r8qy968gcyskzn8ddc6r00000gn/T/tmpw4gtd8r1/h2o_layla_started_from_python.err\n", - " Server is running at http://127.0.0.1:54321\n", - "Connecting to H2O server at http://127.0.0.1:54321 ... successful.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - "
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H2O_cluster_uptime:02 secs
H2O_cluster_timezone:America/Detroit
H2O_data_parsing_timezone:UTC
H2O_cluster_version:3.46.0.7
H2O_cluster_version_age:5 days
H2O_cluster_name:H2O_from_python_layla_fj8n2a
H2O_cluster_total_nodes:1
H2O_cluster_free_memory:4 Gb
H2O_cluster_total_cores:10
H2O_cluster_allowed_cores:10
H2O_cluster_status:locked, healthy
H2O_connection_url:http://127.0.0.1:54321
H2O_connection_proxy:{\"http\": null, \"https\": null}
H2O_internal_security:False
Python_version:3.12.2 final
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\n" - ], - "text/plain": [ - "-------------------------- -----------------------------\n", - "H2O_cluster_uptime: 02 secs\n", - "H2O_cluster_timezone: America/Detroit\n", - "H2O_data_parsing_timezone: UTC\n", - "H2O_cluster_version: 3.46.0.7\n", - "H2O_cluster_version_age: 5 days\n", - "H2O_cluster_name: H2O_from_python_layla_fj8n2a\n", - "H2O_cluster_total_nodes: 1\n", - "H2O_cluster_free_memory: 4 Gb\n", - "H2O_cluster_total_cores: 10\n", - "H2O_cluster_allowed_cores: 10\n", - "H2O_cluster_status: locked, healthy\n", - "H2O_connection_url: http://127.0.0.1:54321\n", - "H2O_connection_proxy: {\"http\": null, \"https\": null}\n", - "H2O_internal_security: False\n", - "Python_version: 3.12.2 final\n", - "-------------------------- -----------------------------" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "h2o.init()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "45e23954-9236-463f-9e0a-44bcca1ce900", - "metadata": {}, - "outputs": [], - "source": [ - "df_train = pd.read_csv(\"./intermediate/train_rdkit_descriptors.csv\")\n", - "df_test = pd.read_csv(\"./intermediate/test_rdkit_descriptors.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "121180d5-5dd2-43f5-b060-fe6e43030a51", - "metadata": {}, - "outputs": [], - "source": [ - "x_train = df_train.drop(columns=[\"label\", \"Standardized_SMILES\"])\n", - "y_train = df_train[\"label\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "1e323f49-191a-48b5-ba59-29f2d27c0f39", - "metadata": {}, - "outputs": [], - "source": [ - "x_test = df_test.drop(columns=[\"label\", \"Standardized_SMILES\"])\n", - "y_test = df_test[\"label\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "0b1c364f-ecfa-4e28-920c-779de5e68c3c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n", - "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n" - ] - } - ], - "source": [ - "train_h2o = h2o.H2OFrame(pd.concat([x_train, y_train], axis=1))\n", - "test_h2o = h2o.H2OFrame(pd.concat([x_test, y_test], axis=1))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "0fbfca71-4f2a-40ea-8ced-fda7b49b3bf7", - "metadata": {}, - "outputs": [], - "source": [ - "train_h2o[\"label\"] = train_h2o[\"label\"].asfactor()\n", - "test_h2o[\"label\"] = test_h2o[\"label\"].asfactor()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "da05d946-4e31-483f-abff-3c155c440275", - "metadata": {}, - "outputs": [], - "source": [ - "feature_cols = x_train.columns.tolist()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "76d80605-7f09-4404-afca-2323c5aa81ef", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "AutoML progress: |\n", - "22:02:05.945: AutoML: XGBoost is not available; skipping it.\n", - "22:02:05.970: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "████\n", - "22:02:26.994: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "█\n", - "22:02:59.477: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "██\n", - "22:03:11.490: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "██\n", - "22:03:33.505: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "██\n", - "22:04:13.14: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "██\n", - "22:04:39.146: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "██\n", - "22:04:52.462: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "█\n", - "22:05:17.142: _train param, Dropping bad and constant columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "██████████████████████████████████████████████\n", - "22:31:10.443: _train param, Dropping unused columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "\n", - "22:31:13.945: _train param, Dropping unused columns: [fr_thiocyan, SMR_VSA8, fr_diazo, SlogP_VSA9, fr_prisulfonamd, fr_isocyan]\n", - "\n", - "█| (done) 100%\n" - ] - }, - { - "data": { - "text/html": [ - "
Model Details\n",
-       "=============\n",
-       "H2OStackedEnsembleEstimator : Stacked Ensemble\n",
-       "Model Key: StackedEnsemble_AllModels_1_AutoML_1_20250401_220205\n",
-       "
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Model Summary for Stacked Ensemble:
keyvalue
Stacking strategycross_validation
Number of base models (used / total)10/20
# GBM base models (used / total)5/10
# DRF base models (used / total)1/2
# DeepLearning base models (used / total)4/7
# GLM base models (used / total)0/1
Metalearner algorithmGLM
Metalearner fold assignment schemeRandom
Metalearner nfolds10
Metalearner fold_columnNone
Custom metalearner hyperparametersNone
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ModelMetricsBinomialGLM: stackedensemble\n",
-       "** Reported on train data. **\n",
-       "\n",
-       "MSE: 2.2856119786591524e-05\n",
-       "RMSE: 0.00478080744086096\n",
-       "LogLoss: 0.0012407393982619855\n",
-       "AUC: 1.0\n",
-       "AUCPR: 1.0\n",
-       "Gini: 1.0\n",
-       "Null degrees of freedom: 8233\n",
-       "Residual degrees of freedom: 8223\n",
-       "Null deviance: 11414.747769460633\n",
-       "Residual deviance: 20.43249641057838\n",
-       "AIC: 42.43249641057838
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Confusion Matrix (Act/Pred) for max f1 @ threshold = 0.8342915132782255
01ErrorRate
04117.00.00.0 (0.0/4117.0)
10.04117.00.0 (0.0/4117.0)
Total4117.04117.00.0 (0.0/8234.0)
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Maximum Metrics: Maximum metrics at their respective thresholds
metricthresholdvalueidx
max f10.83429151.0208.0
max f20.83429151.0208.0
max f0point50.83429151.0208.0
max accuracy0.83429151.0208.0
max precision0.99988731.00.0
max recall0.83429151.0208.0
max specificity0.99988731.00.0
max absolute_mcc0.83429151.0208.0
max min_per_class_accuracy0.83429151.0208.0
max mean_per_class_accuracy0.83429151.0208.0
max tns0.99988734117.00.0
max fns0.99988734039.00.0
max fps0.00011564117.0399.0
max tps0.83429154117.0208.0
max tnr0.99988731.00.0
max fnr0.99988730.98105420.0
max fpr0.00011561.0399.0
max tpr0.83429151.0208.0
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Gains/Lift Table: Avg response rate: 50.00 %, avg score: 49.98 %
groupcumulative_data_fractionlower_thresholdliftcumulative_liftresponse_ratescorecumulative_response_ratecumulative_scorecapture_ratecumulative_capture_rategaincumulative_gainkolmogorov_smirnov
10.01020160.99988172.02.01.00.99988701.00.99988700.02040320.0204032100.0100.00.0204032
20.02016030.99987332.02.01.00.99987651.00.99988180.01991740.0403206100.0100.00.0403206
30.02999760.99986482.02.01.00.99986881.00.99987750.01967450.0599951100.0100.00.0599951
40.04007770.99985962.02.01.00.99986251.00.99987380.02016030.0801555100.0100.00.0801555
50.05003640.99985262.02.01.00.99985611.00.99987020.01991740.1000729100.0100.00.1000729
60.10019430.99982262.02.01.00.99983711.00.99985370.10031580.2003886100.0100.00.2003886
70.14998790.99978672.02.01.00.99980481.00.99983740.09958710.2999757100.0100.00.2999757
80.20002430.99974452.02.01.00.99976661.00.99981970.10007290.4000486100.0100.00.4000486
90.29997570.99957972.02.01.00.99968011.00.99977320.19990280.5999514100.0100.00.5999514
100.40004860.99896652.02.01.00.99936841.00.99967190.20014570.8000972100.0100.00.8000972
110.50.44287872.02.01.00.99422281.00.99858260.19990281.0100.0100.01.0
120.59995140.00094370.01.66680160.00.00399000.83340080.83288430.01.0-100.066.68016190.8000972
130.70002430.00037930.01.42852190.00.00058310.71426090.71390160.01.0-100.042.85218600.5999514
140.79997570.00022820.01.25003800.00.00029230.62501900.62474110.01.0-100.025.00379540.4000486
150.89992710.00016430.01.11120110.00.00019230.55560050.55537490.01.0-100.011.12010800.2001457
161.00.00010150.01.00.00.00014350.50.49981130.01.0-100.00.00.0
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ModelMetricsBinomialGLM: stackedensemble\n",
-       "** Reported on cross-validation data. **\n",
-       "\n",
-       "MSE: 0.014193765637009768\n",
-       "RMSE: 0.11913759120029986\n",
-       "LogLoss: 0.05405364843473822\n",
-       "AUC: 0.9978175410770075\n",
-       "AUCPR: 0.9980145749346552\n",
-       "Gini: 0.995635082154015\n",
-       "Null degrees of freedom: 8233\n",
-       "Residual degrees of freedom: 8222\n",
-       "Null deviance: 11418.3263750634\n",
-       "Residual deviance: 890.155482423269\n",
-       "AIC: 914.155482423269
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Confusion Matrix (Act/Pred) for max f1 @ threshold = 0.6451303961939744
01ErrorRate
04067.050.00.0121 (50.0/4117.0)
193.04024.00.0226 (93.0/4117.0)
Total4160.04074.00.0174 (143.0/8234.0)
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Maximum Metrics: Maximum metrics at their respective thresholds
metricthresholdvalueidx
max f10.64513040.9825418176.0
max f20.26103530.9845186250.0
max f0point50.80552640.9870020139.0
max accuracy0.65550290.9826330174.0
max precision0.99987521.00.0
max recall0.00128701.0391.0
max specificity0.99987521.00.0
max absolute_mcc0.65550290.9653236174.0
max min_per_class_accuracy0.49543840.9817829205.0
max mean_per_class_accuracy0.65550290.9826330174.0
max tns0.99987524117.00.0
max fns0.99987523734.00.0
max fps0.00015674117.0399.0
max tps0.00128704117.0391.0
max tnr0.99987521.00.0
max fnr0.99987520.90697110.0
max fpr0.00015671.0399.0
max tpr0.00128701.0391.0
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Gains/Lift Table: Avg response rate: 50.00 %, avg score: 50.00 %
groupcumulative_data_fractionlower_thresholdliftcumulative_liftresponse_ratescorecumulative_response_ratecumulative_scorecapture_ratecumulative_capture_rategaincumulative_gainkolmogorov_smirnov
10.01008020.99990852.02.01.00.99992611.00.99992610.02016030.0201603100.0100.00.0201603
20.02003890.99988502.02.01.00.99989791.00.99991200.01991740.0400777100.0100.00.0400777
30.02999760.99986402.02.01.00.99987551.00.99989990.01991740.0599951100.0100.00.0599951
40.04007770.99984312.02.01.00.99985341.00.99988820.02016030.0801555100.0100.00.0801555
50.05003640.99981822.02.01.00.99983031.00.99987670.01991740.1000729100.0100.00.1000729
60.10007290.99968552.02.01.00.99975271.00.99981470.10007290.2001457100.0100.00.2001457
70.14998790.99949442.02.01.00.99959931.00.99974300.09983000.2999757100.0100.00.2999757
80.20002430.99922362.02.01.00.99936611.00.99964870.10007290.4000486100.0100.00.4000486
90.29997570.99771402.02.01.00.99863751.00.99931180.19990280.5999514100.0100.00.5999514
100.40004860.99018021.99514561.99878570.99757280.99510630.99939280.99825980.19965990.799611499.514563199.87856710.7991256
110.50.49202361.82260021.96356570.91130010.91701800.98178290.98201930.18217150.981782982.260024396.35657030.9635657
120.59995140.00724770.16524911.66396760.08262450.08427750.83198380.83245620.01651690.9982997-83.475091166.39676110.7966966
130.70002430.00196870.00970871.42748090.00485440.00366810.71374050.71397580.00097160.9992713-99.029126242.74809160.5984940
140.79997570.00087740.00729041.25003800.00364520.00133500.62501900.62493630.00072871.0-99.270959925.00379540.4000486
150.89992710.00038050.01.11120110.00.00060390.55560050.55559410.01.0-100.011.12010800.2001457
161.04.594e-050.01.00.00.00022570.50.50001680.01.0-100.00.00.0
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Cross-Validation Metrics Summary:
meansdcv_1_validcv_2_validcv_3_validcv_4_validcv_5_validcv_6_validcv_7_validcv_8_validcv_9_validcv_10_valid
accuracy0.98405530.00370820.97775030.98126460.98025550.98682640.98801590.98316500.98520340.98887520.98210030.9870968
aic110.1846318.064753127.76554125.4824750127.040634084.4806489.5205114.2268140100.8586650108.29848133.3932690.77928
auc0.99790750.00098350.99744050.99778350.99783470.9992140.9984610.99837790.99871040.99663470.99603400.9985842
err0.01594470.00370820.02224970.01873540.01974450.01317370.01198400.01683500.01479650.01112480.01789980.0129032
err_count13.23.39280318.016.017.011.09.015.012.09.015.010.0
f0point50.98599520.00415270.98105880.98588340.97698650.98882410.99033820.98452880.98715890.98796390.98765430.9895547
f10.98405470.00330400.97820820.98185940.98146130.98666670.98795180.98245610.9840.98870770.98293510.9863014
f20.98213510.00434990.97537420.97786810.98597720.98451870.98557690.98039220.98086130.98945250.97826090.9830694
lift_top_group2.00488470.09076281.94939761.92342341.89230762.01690822.00266672.07692312.15119362.03266331.89164782.1117165
loglikelihood0.00.00.00.00.00.00.00.00.00.00.00.0
---------------------------------------
mean_per_class_error0.01600890.00367340.02213630.01848490.02027280.01320470.01198940.01698300.01521840.01110790.01747860.0132133
mse0.01407670.0026160.01841420.01607090.01631350.01091290.01141780.01441760.01367020.01153470.01623960.0117752
null_deviance1141.832657.4647181121.63751184.22681194.28881157.56981041.10731235.50291125.2081121.56021162.3731074.8523
pr_auc0.99809140.00078620.99774470.99803880.99815020.999190.99866240.99833930.99854830.99669910.99690760.9986337
precision0.98730030.00542490.98296840.98858450.97402600.99026760.99193550.98591550.98927610.98746870.99082570.9917355
r20.94358580.01050380.92629360.93561440.93453410.95634530.95432860.94225040.94504770.95384940.93482790.9527670
recall0.98086680.00567650.9734940.97522520.9890110.98309180.9840.97902100.97877990.98994980.97516930.9809265
residual_deviance88.5846318.307705105.76554103.4824750105.040634064.4806465.520592.22681478.85866588.29848113.3932768.77928
rmse0.11818540.01099830.13569890.12677110.12772420.10446490.10685420.12007330.11691970.10739960.12743460.1085137
specificity0.98711530.00658250.98223350.98780490.97044340.99049880.99202130.9870130.99078340.98783460.98987340.9926470
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[24 rows x 13 columns]
\n",
-       "\n",
-       "[tips]\n",
-       "Use `model.explain()` to inspect the model.\n",
-       "--\n",
-       "Use `h2o.display.toggle_user_tips()` to switch on/off this section.
" - ], - "text/plain": [ - "Model Details\n", - "=============\n", - "H2OStackedEnsembleEstimator : Stacked Ensemble\n", - "Model Key: StackedEnsemble_AllModels_1_AutoML_1_20250401_220205\n", - "\n", - "\n", - "Model Summary for Stacked Ensemble: \n", - "key value\n", - "----------------------------------------- ----------------\n", - "Stacking strategy cross_validation\n", - "Number of base models (used / total) 10/20\n", - "# GBM base models (used / total) 5/10\n", - "# DRF base models (used / total) 1/2\n", - "# DeepLearning base models (used / total) 4/7\n", - "# GLM base models (used / total) 0/1\n", - "Metalearner algorithm GLM\n", - "Metalearner fold assignment scheme Random\n", - "Metalearner nfolds 10\n", - "Metalearner fold_column\n", - "Custom metalearner hyperparameters None\n", - "\n", - "ModelMetricsBinomialGLM: stackedensemble\n", - "** Reported on train data. **\n", - "\n", - "MSE: 2.2856119786591524e-05\n", - "RMSE: 0.00478080744086096\n", - "LogLoss: 0.0012407393982619855\n", - "AUC: 1.0\n", - "AUCPR: 1.0\n", - "Gini: 1.0\n", - "Null degrees of freedom: 8233\n", - "Residual degrees of freedom: 8223\n", - "Null deviance: 11414.747769460633\n", - "Residual deviance: 20.43249641057838\n", - "AIC: 42.43249641057838\n", - "\n", - "Confusion Matrix (Act/Pred) for max f1 @ threshold = 0.8342915132782255\n", - " 0 1 Error Rate\n", - "----- ---- ---- ------- ------------\n", - "0 4117 0 0 (0.0/4117.0)\n", - "1 0 4117 0 (0.0/4117.0)\n", - "Total 4117 4117 0 (0.0/8234.0)\n", - "\n", - "Maximum Metrics: Maximum metrics at their respective thresholds\n", - "metric threshold value idx\n", - "--------------------------- ----------- -------- -----\n", - "max f1 0.834292 1 208\n", - "max f2 0.834292 1 208\n", - "max f0point5 0.834292 1 208\n", - "max accuracy 0.834292 1 208\n", - "max precision 0.999887 1 0\n", - "max recall 0.834292 1 208\n", - "max specificity 0.999887 1 0\n", - "max absolute_mcc 0.834292 1 208\n", - "max min_per_class_accuracy 0.834292 1 208\n", - "max mean_per_class_accuracy 0.834292 1 208\n", - "max tns 0.999887 4117 0\n", - "max fns 0.999887 4039 0\n", - "max fps 0.000115594 4117 399\n", - "max tps 0.834292 4117 208\n", - "max tnr 0.999887 1 0\n", - "max fnr 0.999887 0.981054 0\n", - "max fpr 0.000115594 1 399\n", - "max tpr 0.834292 1 208\n", - "\n", - "Gains/Lift Table: Avg response rate: 50.00 %, avg score: 49.98 %\n", - "group cumulative_data_fraction lower_threshold lift cumulative_lift response_rate score cumulative_response_rate cumulative_score capture_rate cumulative_capture_rate gain cumulative_gain kolmogorov_smirnov\n", - "------- -------------------------- ----------------- ------ ----------------- --------------- ----------- -------------------------- ------------------ -------------- ------------------------- ------ ----------------- --------------------\n", - "1 0.0102016 0.999882 2 2 1 0.999887 1 0.999887 0.0204032 0.0204032 100 100 0.0204032\n", - "2 0.0201603 0.999873 2 2 1 0.999877 1 0.999882 0.0199174 0.0403206 100 100 0.0403206\n", - "3 0.0299976 0.999865 2 2 1 0.999869 1 0.999878 0.0196745 0.0599951 100 100 0.0599951\n", - "4 0.0400777 0.99986 2 2 1 0.999862 1 0.999874 0.0201603 0.0801555 100 100 0.0801555\n", - "5 0.0500364 0.999853 2 2 1 0.999856 1 0.99987 0.0199174 0.100073 100 100 0.100073\n", - "6 0.100194 0.999823 2 2 1 0.999837 1 0.999854 0.100316 0.200389 100 100 0.200389\n", - "7 0.149988 0.999787 2 2 1 0.999805 1 0.999837 0.0995871 0.299976 100 100 0.299976\n", - "8 0.200024 0.999744 2 2 1 0.999767 1 0.99982 0.100073 0.400049 100 100 0.400049\n", - "9 0.299976 0.99958 2 2 1 0.99968 1 0.999773 0.199903 0.599951 100 100 0.599951\n", - "10 0.400049 0.998967 2 2 1 0.999368 1 0.999672 0.200146 0.800097 100 100 0.800097\n", - "11 0.5 0.442879 2 2 1 0.994223 1 0.998583 0.199903 1 100 100 1\n", - "12 0.599951 0.00094372 0 1.6668 0 0.00398999 0.833401 0.832884 0 1 -100 66.6802 0.800097\n", - "13 0.700024 0.000379254 0 1.42852 0 0.000583061 0.714261 0.713902 0 1 -100 42.8522 0.599951\n", - "14 0.799976 0.000228222 0 1.25004 0 0.000292347 0.625019 0.624741 0 1 -100 25.0038 0.400049\n", - "15 0.899927 0.00016431 0 1.1112 0 0.000192331 0.555601 0.555375 0 1 -100 11.1201 0.200146\n", - "16 1 0.000101544 0 1 0 0.000143517 0.5 0.499811 0 1 -100 0 0\n", - "\n", - "ModelMetricsBinomialGLM: stackedensemble\n", - "** Reported on cross-validation data. **\n", - "\n", - "MSE: 0.014193765637009768\n", - "RMSE: 0.11913759120029986\n", - "LogLoss: 0.05405364843473822\n", - "AUC: 0.9978175410770075\n", - "AUCPR: 0.9980145749346552\n", - "Gini: 0.995635082154015\n", - "Null degrees of freedom: 8233\n", - "Residual degrees of freedom: 8222\n", - "Null deviance: 11418.3263750634\n", - "Residual deviance: 890.155482423269\n", - "AIC: 914.155482423269\n", - "\n", - "Confusion Matrix (Act/Pred) for max f1 @ threshold = 0.6451303961939744\n", - " 0 1 Error Rate\n", - "----- ---- ---- ------- --------------\n", - "0 4067 50 0.0121 (50.0/4117.0)\n", - "1 93 4024 0.0226 (93.0/4117.0)\n", - "Total 4160 4074 0.0174 (143.0/8234.0)\n", - "\n", - "Maximum Metrics: Maximum metrics at their respective thresholds\n", - "metric threshold value idx\n", - "--------------------------- ----------- -------- -----\n", - "max f1 0.64513 0.982542 176\n", - "max f2 0.261035 0.984519 250\n", - "max f0point5 0.805526 0.987002 139\n", - "max accuracy 0.655503 0.982633 174\n", - "max precision 0.999875 1 0\n", - "max recall 0.00128702 1 391\n", - "max specificity 0.999875 1 0\n", - "max absolute_mcc 0.655503 0.965324 174\n", - "max min_per_class_accuracy 0.495438 0.981783 205\n", - "max mean_per_class_accuracy 0.655503 0.982633 174\n", - "max tns 0.999875 4117 0\n", - "max fns 0.999875 3734 0\n", - "max fps 0.000156655 4117 399\n", - "max tps 0.00128702 4117 391\n", - "max tnr 0.999875 1 0\n", - "max fnr 0.999875 0.906971 0\n", - "max fpr 0.000156655 1 399\n", - "max tpr 0.00128702 1 391\n", - "\n", - "Gains/Lift Table: Avg response rate: 50.00 %, avg score: 50.00 %\n", - "group cumulative_data_fraction lower_threshold lift cumulative_lift response_rate score cumulative_response_rate cumulative_score capture_rate cumulative_capture_rate gain cumulative_gain kolmogorov_smirnov\n", - "------- -------------------------- ----------------- ---------- ----------------- --------------- ----------- -------------------------- ------------------ -------------- ------------------------- -------- ----------------- --------------------\n", - "1 0.0100802 0.999909 2 2 1 0.999926 1 0.999926 0.0201603 0.0201603 100 100 0.0201603\n", - "2 0.0200389 0.999885 2 2 1 0.999898 1 0.999912 0.0199174 0.0400777 100 100 0.0400777\n", - "3 0.0299976 0.999864 2 2 1 0.999875 1 0.9999 0.0199174 0.0599951 100 100 0.0599951\n", - "4 0.0400777 0.999843 2 2 1 0.999853 1 0.999888 0.0201603 0.0801555 100 100 0.0801555\n", - "5 0.0500364 0.999818 2 2 1 0.99983 1 0.999877 0.0199174 0.100073 100 100 0.100073\n", - "6 0.100073 0.999685 2 2 1 0.999753 1 0.999815 0.100073 0.200146 100 100 0.200146\n", - "7 0.149988 0.999494 2 2 1 0.999599 1 0.999743 0.09983 0.299976 100 100 0.299976\n", - "8 0.200024 0.999224 2 2 1 0.999366 1 0.999649 0.100073 0.400049 100 100 0.400049\n", - "9 0.299976 0.997714 2 2 1 0.998637 1 0.999312 0.199903 0.599951 100 100 0.599951\n", - "10 0.400049 0.99018 1.99515 1.99879 0.997573 0.995106 0.999393 0.99826 0.19966 0.799611 99.5146 99.8786 0.799126\n", - "11 0.5 0.492024 1.8226 1.96357 0.9113 0.917018 0.981783 0.982019 0.182171 0.981783 82.26 96.3566 0.963566\n", - "12 0.599951 0.00724773 0.165249 1.66397 0.0826245 0.0842775 0.831984 0.832456 0.0165169 0.9983 -83.4751 66.3968 0.796697\n", - "13 0.700024 0.0019687 0.00970874 1.42748 0.00485437 0.0036681 0.71374 0.713976 0.000971581 0.999271 -99.0291 42.7481 0.598494\n", - "14 0.799976 0.000877406 0.0072904 1.25004 0.0036452 0.00133502 0.625019 0.624936 0.000728686 1 -99.271 25.0038 0.400049\n", - "15 0.899927 0.000380492 0 1.1112 0 0.000603887 0.555601 0.555594 0 1 -100 11.1201 0.200146\n", - "16 1 4.594e-05 0 1 0 0.000225655 0.5 0.500017 0 1 -100 0 0\n", - "\n", - "Cross-Validation Metrics Summary: \n", - " mean sd cv_1_valid cv_2_valid cv_3_valid cv_4_valid cv_5_valid cv_6_valid cv_7_valid cv_8_valid cv_9_valid cv_10_valid\n", - "-------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ -------------\n", - "accuracy 0.98405534 0.0037082415 0.9777503 0.98126465 0.98025554 0.98682636 0.98801595 0.98316497 0.98520344 0.98887515 0.98210025 0.9870968\n", - "aic 110.18463 18.064753 127.76554 125.482475 127.040634 84.48064 89.5205 114.226814 100.858665 108.29848 133.39326 90.77928\n", - "auc 0.99790746 0.000983542 0.9974405 0.9977835 0.9978347 0.999214 0.998461 0.99837786 0.9987104 0.99663466 0.99603397 0.99858415\n", - "err 0.015944662 0.0037082415 0.022249691 0.018735362 0.019744484 0.013173653 0.011984021 0.016835017 0.014796548 0.011124846 0.017899761 0.012903226\n", - "err_count 13.2 3.392803 18.0 16.0 17.0 11.0 9.0 15.0 12.0 9.0 15.0 10.0\n", - "f0point5 0.9859952 0.004152694 0.9810588 0.9858834 0.9769865 0.9888241 0.99033815 0.98452884 0.9871589 0.9879639 0.9876543 0.9895547\n", - "f1 0.98405474 0.00330396 0.97820824 0.9818594 0.9814613 0.9866667 0.9879518 0.98245615 0.984 0.98870766 0.98293513 0.98630136\n", - "f2 0.9821351 0.0043498897 0.9753742 0.97786814 0.98597723 0.98451865 0.9855769 0.98039216 0.98086125 0.98945254 0.9782609 0.98306936\n", - "lift_top_group 2.0048847 0.09076279 1.9493976 1.9234234 1.8923076 2.0169082 2.0026667 2.0769231 2.1511936 2.0326633 1.8916478 2.1117165\n", - "loglikelihood 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n", - "--- --- --- --- --- --- --- --- --- --- --- --- ---\n", - "mean_per_class_error 0.016008925 0.0036734268 0.022136262 0.018484948 0.02027283 0.0132047 0.011989362 0.016983017 0.015218374 0.011107851 0.017478641 0.013213255\n", - "mse 0.0140766585 0.002616 0.018414183 0.016070902 0.01631348 0.010912914 0.011417829 0.014417588 0.013670215 0.01153468 0.01623958 0.011775216\n", - "null_deviance 1141.8326 57.464718 1121.6375 1184.2268 1194.2888 1157.5698 1041.1073 1235.5029 1125.208 1121.5602 1162.373 1074.8523\n", - "pr_auc 0.9980914 0.0007862401 0.9977447 0.99803877 0.99815017 0.99919 0.99866235 0.9983393 0.99854827 0.9966991 0.9969076 0.9986337\n", - "precision 0.98730034 0.0054248623 0.9829684 0.98858446 0.97402596 0.99026763 0.9919355 0.9859155 0.9892761 0.98746866 0.9908257 0.9917355\n", - "r2 0.9435858 0.01050379 0.9262936 0.93561435 0.9345341 0.95634526 0.9543286 0.94225043 0.9450477 0.9538494 0.93482786 0.95276695\n", - "recall 0.98086685 0.005676547 0.973494 0.9752252 0.989011 0.9830918 0.984 0.97902095 0.97877985 0.98994976 0.9751693 0.98092645\n", - "residual_deviance 88.58463 18.307705 105.76554 103.482475 105.040634 64.48064 65.5205 92.226814 78.858665 88.29848 113.39327 68.77928\n", - "rmse 0.118185416 0.010998288 0.13569887 0.12677106 0.12772423 0.104464896 0.106854245 0.12007326 0.1169197 0.10739963 0.12743461 0.10851367\n", - "specificity 0.9871153 0.0065825405 0.9822335 0.9878049 0.97044337 0.99049884 0.99202126 0.987013 0.9907834 0.9878346 0.9898734 0.99264705\n", - "[24 rows x 13 columns]\n", - "\n", - "\n", - "[tips]\n", - "Use `model.explain()` to inspect the model.\n", - "--\n", - "Use `h2o.display.toggle_user_tips()` to switch on/off this section." - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "aml = H2OAutoML(max_models=20,seed=42,nfolds=10,sort_metric=\"AUC\")\n", - "aml.train(x=feature_cols, y=\"label\", training_frame=train_h2o)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "1cd88213-dcbb-47bf-b68f-ffffa4998521", - "metadata": {}, - "outputs": [], - "source": [ - "lb = aml.leaderboard\n", - "lb.head(rows=lb.nrows)\n", - "best_model = aml.leader" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "f984264f-9781-48f7-a3f3-d7d6c643351c", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/anaconda3/lib/python3.12/site-packages/h2o/frame.py:1983: H2ODependencyWarning: Converting H2O frame to pandas dataframe using single-thread. For faster conversion using multi-thread, install polars and pyarrow and use it as pandas_df = h2o_df.as_data_frame(use_multi_thread=True)\n", - "\n", - " warnings.warn(\"Converting H2O frame to pandas dataframe using single-thread. For faster conversion using\"\n" - ] - } - ], - "source": [ - "top_3_models = lb.as_data_frame()[\"model_id\"].head(3).tolist()" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "ca40a6da-c3af-4fe7-bdcf-2ddca1f32dc2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['StackedEnsemble_AllModels_1_AutoML_1_20250401_220205',\n", - " 'StackedEnsemble_BestOfFamily_1_AutoML_1_20250401_220205',\n", - " 'GBM_4_AutoML_1_20250401_220205']" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "top_3_models" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "21cf3e22-34a2-465e-a909-eeb1d24ce65b", - "metadata": {}, - "outputs": [], - "source": [ - "for i, model_id in enumerate(top_3_models, start=1):\n", - " model = h2o.get_model(model_id)\n", - " model_path = h2o.save_model(model=model, path=f\"../product/top_model_{i}\", force=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "689b22d0-ae2b-4a63-b151-0d5920dbd487", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/anaconda3/lib/python3.12/site-packages/h2o/frame.py:1983: H2ODependencyWarning: Converting H2O frame to pandas dataframe using single-thread. For faster conversion using multi-thread, install polars and pyarrow and use it as pandas_df = h2o_df.as_data_frame(use_multi_thread=True)\n", - "\n", - " warnings.warn(\"Converting H2O frame to pandas dataframe using single-thread. For faster conversion using\"\n" - ] - } - ], - "source": [ - "model_ids = lb.as_data_frame()[\"model_id\"].tolist()\n", - "all_model_summaries = []\n", - "for model_id in model_ids:\n", - " model = h2o.get_model(model_id)\n", - " cv_summary = model.cross_validation_metrics_summary().as_data_frame()\n", - " cv_summary[\"model_id\"] = model_id\n", - " all_model_summaries.append(cv_summary)\n", - "\n", - "cv_all_models_df = pd.concat(all_model_summaries, ignore_index=True)\n", - "cv_all_models_df.to_csv(\"../intermediate/cross_validation_result.csv\",index=False)" - ] - }, - { - "cell_type": "markdown", - "id": "6533fd6d-aa25-4ab1-9b64-026483623923", - "metadata": {}, - "source": [ - "# Reload the model for test" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "9abf9dc7-6827-478e-b250-ca45f84c558f", - "metadata": {}, - "outputs": [], - "source": [ - "from h2o import load_model\n", - "restored_model1 = h2o.load_model(\"./product/top_model_1/StackedEnsemble_AllModels_1_AutoML_1_20250401_220205\")\n", - "restored_model2 = h2o.load_model(\"./product/top_model_2/StackedEnsemble_BestOfFamily_1_AutoML_1_20250401_220205\")\n", - "restored_model3 = h2o.load_model(\"./product/top_model_3/GBM_4_AutoML_1_20250401_220205\")" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "id": "06a786d1-87ae-4c49-a73e-2eee72b40410", - "metadata": {}, - "outputs": [], - "source": [ - "perf1=restored_model1.model_performance(test_h2o)\n", - "perf2=restored_model2.model_performance(test_h2o)\n", - "perf3=restored_model3.model_performance(test_h2o)" - ] - }, - { - "cell_type": "markdown", - "id": "a354154c-3362-424b-a151-c33f303d247b", - "metadata": { - "scrolled": true - }, - "source": [ - "## Model1" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "9732dfdb-8f74-46e3-b73f-37c2eb98265a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Could not find exact threshold 0.5; using closest threshold found 0.5032665032560081.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.5032665032560081.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.5032665032560081.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.5032665032560081.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.5032665032560081.\n", - "Threshold = 0.5\n", - "Accuracy = 0.9809\n", - "F1 Score = 0.9389\n", - "Precision = 0.8973\n", - "Recall = 0.9845\n", - "Specificity = 0.9803\n" - ] - } - ], - "source": [ - "threshold = 0.5\n", - "acc = perf1.accuracy(thresholds=[threshold])[0][1]\n", - "f1 = perf1.F1(thresholds=[threshold])[0][1]\n", - "prec = perf1.precision(thresholds=[threshold])[0][1]\n", - "rec = perf1.recall(thresholds=[threshold])[0][1]\n", - "spec = perf1.specificity(thresholds=[threshold])[0][1]\n", - "print(f\"Threshold = {threshold}\")\n", - "print(f\"Accuracy = {acc:.4f}\")\n", - "print(f\"F1 Score = {f1:.4f}\")\n", - "print(f\"Precision = {prec:.4f}\")\n", - "print(f\"Recall = {rec:.4f}\")\n", - "print(f\"Specificity = {spec:.4f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "id": "da495a12-2b34-4f47-9a3c-922d4ef2d5b1", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'AUC': 0.9981935773472684,\n", - " 'LogLoss': 0.05422109841470537,\n", - " 'Accuracy': [[0.9169667844373967, 0.9903081151453783]],\n", - " 'F1': [[0.9169667844373967, 0.9675544794188862]],\n", - " 'Precision': [[0.9998560981484381, 1.0]],\n", - " 'Recall': [[0.0003329277517252495, 1.0]],\n", - " 'Specificity': [[0.9998560981484381, 1.0]]}" - ] - }, - "execution_count": 66, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "metrics1 = {\n", - " \"AUC\": perf1.auc(),\n", - " \"LogLoss\": perf1.logloss(),\n", - " \"Accuracy\": perf1.accuracy(),\n", - " \"F1\": perf1.F1(),\n", - " \"Precision\": perf1.precision(),\n", - " \"Recall\": perf1.recall(),\n", - " \"Specificity\": perf1.specificity()\n", - "}\n", - "metrics1" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "acd36c74-6e55-4a7d-81c3-3588ae4b9ec1", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - } - }, - "outputs": [ - { - "data": { - "image/png": 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", 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"text": [ - "Could not find exact threshold 0.5; using closest threshold found 0.49989527396186567.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.49989527396186567.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.49989527396186567.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.49989527396186567.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.49989527396186567.\n", - "Threshold = 0.5\n", - "Accuracy = 0.9826\n", - "F1 Score = 0.9440\n", - "Precision = 0.9092\n", - "Recall = 0.9816\n", - "Specificity = 0.9828\n" - ] - } - ], - "source": [ - "threshold = 0.5\n", - "acc = perf2.accuracy(thresholds=[threshold])[0][1]\n", - "f1 = perf2.F1(thresholds=[threshold])[0][1]\n", - "prec = perf2.precision(thresholds=[threshold])[0][1]\n", - "rec = perf2.recall(thresholds=[threshold])[0][1]\n", - "spec = perf2.specificity(thresholds=[threshold])[0][1]\n", - "print(f\"Threshold = {threshold}\")\n", - "print(f\"Accuracy = {acc:.4f}\")\n", - "print(f\"F1 Score = {f1:.4f}\")\n", - "print(f\"Precision = {prec:.4f}\")\n", - "print(f\"Recall = {rec:.4f}\")\n", - "print(f\"Specificity = {spec:.4f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "id": "5903cecc-0286-4f50-b218-f736f2cf2bc0", - "metadata": {}, - "outputs": [], - "source": [ - "metrics2 = {\n", - " \"AUC\": perf2.auc(),\n", - " \"LogLoss\": perf2.logloss(),\n", - " \"Accuracy\": perf2.accuracy(),\n", - " \"F1\": perf2.F1(),\n", - " \"Precision\": perf2.precision(),\n", - " \"Recall\": perf2.recall(),\n", - " \"Specificity\": perf2.specificity()\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "id": "b89761de-d27b-415f-8e0b-a8da76077a14", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'AUC': 0.9981112271824856,\n", - " 'LogLoss': 0.049769792621330085,\n", - " 'Accuracy': [[0.9171054919809268, 0.9903081151453783]],\n", - " 'F1': [[0.8867054655838847, 0.967459932005828]],\n", - " 'Precision': [[0.9997854822971795, 1.0]],\n", - " 'Recall': [[0.0006375434079171495, 1.0]],\n", - " 'Specificity': [[0.9997854822971795, 1.0]]}" - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "metrics2" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "id": "16c2475b-1a5c-4f3e-af9a-765b8bd091a9", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - }, - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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", 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0.4999359026554759.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.4999359026554759.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.4999359026554759.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.4999359026554759.\n", - "Could not find exact threshold 0.5; using closest threshold found 0.4999359026554759.\n", - "Threshold = 0.5\n", - "Accuracy = 0.9748\n", - "F1 Score = 0.9210\n", - "Precision = 0.8652\n", - "Recall = 0.9845\n", - "Specificity = 0.9731\n" - ] - } - ], - "source": [ - "threshold = 0.5\n", - "acc = perf3.accuracy(thresholds=[threshold])[0][1]\n", - "f1 = perf3.F1(thresholds=[threshold])[0][1]\n", - "prec = perf3.precision(thresholds=[threshold])[0][1]\n", - "rec = perf3.recall(thresholds=[threshold])[0][1]\n", - "spec = perf3.specificity(thresholds=[threshold])[0][1]\n", - "print(f\"Threshold = {threshold}\")\n", - "print(f\"Accuracy = {acc:.4f}\")\n", - "print(f\"F1 Score = {f1:.4f}\")\n", - "print(f\"Precision = {prec:.4f}\")\n", - "print(f\"Recall = {rec:.4f}\")\n", - "print(f\"Specificity = {spec:.4f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "id": "e73f320a-0cd2-4301-a5e4-0baf0feba36d", - "metadata": {}, - "outputs": [], - "source": [ - "metrics3 = {\n", - " \"AUC\": perf3.auc(),\n", - " \"LogLoss\": perf3.logloss(),\n", - " \"Accuracy\": perf3.accuracy(),\n", - " \"F1\": perf3.F1(),\n", - " \"Precision\": perf3.precision(),\n", - " \"Recall\": perf3.recall(),\n", - " \"Specificity\": perf3.specificity()\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "id": "8f259256-ab50-41e7-a496-7b2c8eed0b18", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'AUC': 0.9975118368047475,\n", - " 'LogLoss': 0.06945196212288368,\n", - " 'Accuracy': [[0.9148472002881719, 0.9871257051931144]],\n", - " 'F1': [[0.9148472002881719, 0.956984050265829]],\n", - " 'Precision': [[0.999741345629852, 1.0]],\n", - " 'Recall': [[0.001086724554955056, 1.0]],\n", - " 'Specificity': [[0.999741345629852, 1.0]]}" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "metrics3" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "id": "d1de9ac5-fef5-4282-b726-218de5c13cbc", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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", 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SnFd/bubMmdNkvVGjRqmBAweGTLvppptUTExMk3Mcbl1AffTRRyHTr7vuOqXrutq6dWtwWuPjd9FFFym73a62bdsWsu5pp52mIiIiVFlZmVKq7V3Amuu6MGzYMJWSkhKyTz6fT/Xt21dlZmYG32/13XquuOKKVm2vJbt27VKAuuiii5rM8/l8wfey1+sNeb/Xv7cav2JiYkLeV433t7KyUkVFRal///vfSiml/vSnP6nOnTsr0zT3uavUueeeq0aMGBGs32/pAvbqq68qQP3nP/9RSqlgfU888cSQ5eo/G/Xd6uqF+3w2t19ffPGFAtTjjz8eMv3tt99WgHrppZeC0xp2W7ryyivV4MGDlVJKrV69WgFq3rx5Yd+H+6sLWEO/pQtYODt27FCpqalq8ODBIV3NrrvuOmW328Ou07179ybdqBryer1q9OjRKiYmpsnn969//at6/vnn1dy5c9Vnn32mbrnlFmWxWNTIkSNDtj9u3DjVo0ePsOXbbLaQrk+VlZWqU6dOIV0fw3UBe+ihhxSg8vPzm5Q5fvx41b1797Db+61dwMK59NJLlcViUUuXLm1xuYN5fuq7wi1atKjJOtdff72y2WzBv/Py8tR1112n/ve//6mFCxeqN954Qw0bNkwB6r///W+L+ySEEIcTaQEkhBBtkJiYyMKFC1myZAmPPvooZ511Fhs2bODee++lX79+FBUVhSyfk5PDkiVLmrxmz54dtvz67iDXXHMNEGiWf9VVV7F161bmzJnTZPlZs2ZhtVqxWq107tyZ//3vf9x66608+OCDLe5HTk4OK1asYP78+UyZMoWTTz6ZJUuWcMsttzB8+HBcLte+HB6AJiPR9OrVC03TOO2004LTLBYLXbt2DdtVLdz6AGeccUaT6SUlJSHdwJYtW8bvfvc7EhMTMQwDq9XKFVdcgd/vZ8OGDSHrx8fHM3bs2Cbbv/3221m+fHlwdKmKigpee+01rrzyylaN9hQdHc3vfve7kGmXXHIJpmmyYMGCZtebO3cuJ510EllZWSHTr7rqKmpqali0aNFet91a1dXV/PDDD5x33nkh+2QYBpdffjk7duxg/fr1Ieuce+65+2374Rx77LHB97LVauXJJ59ssszs2bNZsmQJP/74I59++iknn3wyF110UbNdNaKiojj//POZNm0aPp+PV199Ndh1bl+89957fPLJJ/z3v//dL91lpk6ditPpDHanqq/vwoULmx2xaF/Vt6qob41V7/zzzycyMjLs9QUC16KlS5eycuVKpk6dSk5ODiNHjtyvdTtYSkpKOP3001FK8fbbbzfpatbSOW1unlKKSZMmsXDhQl599dUmn98HH3yQm266iTFjxnD66afz7LPP8uijj7JgwQI++uijfdr+Pffcg9Vq5W9/+1uzy7em3P3V5Wtv7r//ft544w3+9a9/ceyxxza73KE4Py2t23B6eno6L730Eueffz4nnHACl1xyCQsWLOCYY47hnnvuwefzNVs3IYQ4nEgASAgh9sHgwYO5++67eeedd8jLy+POO+8kNze3SV4bh8PB4MGDm7wGDBjQpMz6rh/HHXccycnJlJWVUVZWxjnnnIOmacHgUEMnnHACS5YsYenSpaxZs4aysjKeeeaZZnOrNKTrOiNHjuRvf/sbH3/8MXl5eVx44YX89NNPTfKmtEVCQkLI3/XN5R0OR5Pp4QJN4dZvaXp9Gdu2bePEE09k586dPP3008FAXX1OlMZdLprrgnTWWWfRqVOn4HozZsygurq6Vd2/AFJTU5tMq+/WUVxc3Ox6zeVlqs+F09K6bVVaWopSqk3b25cuW40lJSXhdDrDBv7efPNNlixZErZLRb0BAwYwePBghgwZwhlnnME777xD165dWzw3kyZN4ueff+ahhx5i9+7dTQIgrVVVVcXNN9/MrbfeSkZGRvDz6fF4ACgrK6O6urrV5W3cuJEFCxZwxhlnoJQKllffheu3fAbDKS4uxmKxNOkeqmkaaWlpzb6/Ro4cSbdu3XjxxRd57bXXuOaaaw5a4GB/Ki0tZdy4cezcuZOvv/6aLl26hMxPTEzE5XKFzf9VUlLS5PoDgeDCtddey+uvv86MGTM466yzWlWXyy67DAjk6Gm4/XDnoLq6Go/HE9z+jz/+yPPPP8/jjz+Oy+UKvm9M08Tn81FWVhbszlefXydcuc3t0/42ZcoUHnzwQR566CFuueWWZpc7FOfntx4fq9XKhRdeSHFx8X4P2AohxIEiASAhhPiNrFYrDzzwANA0T0NbzJw5k5qaGn788Ufi4+ODr/79+6OU4oMPPgjmMqkXGxvL4MGDOfbYY+nVq1erAj/NiYyM5N577w3Zj/qgTeP8IPszGLG/fPjhh1RXV/P+++9z2WWXccIJJzB48OBmj0lzN7G6rnPzzTfz7rvvkp+fz/PPP89JJ51Ejx49WlWPgoKCJtN27doFEDbhab3ExETy8/ObTM/LywMCwZP9JT4+Hl3X27S9/XHTbxgGY8eOZenSpU223bt3bwYPHtwkx0dLdF2nT58+5OfnU1hYGHaZ448/nh49evD3v/+dcePGhW0B0BpFRUUUFBTw5JNPhnw+Z86cSXV1NfHx8Vx66aWtLm/atGkopXj33XdDyqtv6fbKK68Ec3M19zls3OKwJYmJifh8Pnbv3h0yXSnFrl27Wnx/XX311bzwwguUlJRw5ZVXtnqbh4vS0lJOPvlktmzZwtdffx0250v9+27lypUh03ft2kVRURF9+/YNmV4fXJg+fTovv/xyMKjTFg1buPTr14/du3cHrxX16utTv/01a9aglOKcc84Jed9s376dL7/8kvj4eF544YUW98nn87Fu3bom+7S/TZkyhcmTJzN58uQm+doaOlTnp36dxmXWT2vN8VFKAfsvcbkQQhxocrUSQog2CHfDDLB27VqAVo1c1JypU6cSHR3NnDlz+Oabb0JeTzzxBG63mzfeeGOfy2+otfuRmpqKw+Hgl19+CVmucdeFw0F9gMJutwenKaX473//2+ayrr32Wmw2G5deeinr169v8cl1Y5WVlU1asbz55pvBFlfNOemkk5g7d24wAFPv1VdfJSIigmHDhgF79q9xi6a2iIyMZOjQobz//vsh5Zimyeuvv05mZibdu3ff5/Jbcu+99+L3+7nxxhtblUS9JX6/n5UrV2K321tMSnzfffcxYcIE/vCHP+zzttLS0pp8Lr/55htOOeUUHA4H33zzzV67Xjas9yuvvEJOTk7YMv/whz+Qn5/P559/DhAcua3x5zBca6nm3h8nnXQSEBjBrKH33nuP6urq4PxwrrzySiZMmMCf/vQnOnTo0Kp9PFzUBxc2b97MV199xTHHHBN2uVNPPRWHw9Ek4X79KHhnn312cJpSiuuuu47p06fz4osvNhmZam/qR/ar/0xDoOWhpmkho/7Vb9/pdHLqqacG6xnuPZOamsqwYcP45ptvgq3Ihg4dSnp6epN9evfdd6mqqmLixIltqndb/OMf/2Dy5Mncd999wQck4RzK89OhQweOO+44Xn/99ZCBEBYvXsz69ev3eny8Xi9vv/02SUlJdO3atcVlhRDicNF0HGMhhBDNOuWUU8jMzGTChAn07NkT0zRZvnw5Tz75JFFRUXsd6ak5q1at4scff+Smm24Km5fm+OOP58knn2Tq1KltCkY0p0+fPpx00kmcdtpp5OTk4HK5+OGHH3jyySdJTU0NjpKkaRqXXXYZ06ZNIycnhwEDBvDjjz82GSXrcDBu3DhsNhsXX3wxf/7zn3G5XLzwwgtNWk21RlxcHFdccQUvvPAC2dnZTJgwodXrJiYmctNNN7Ft2za6d+/OrFmz+O9//8tNN91Ex44dm13vgQce4NNPP2XMmDH87W9/IyEhgTfeeIPPPvuMxx9/PDhseU5ODk6nkzfeeINevXoRFRVFRkZGm4OPjzzyCOPGjWPMmDH88Y9/xGaz8fzzz7Nq1Spmzpx5wLr5HH/88Tz33HPceuutDBo0iOuvv54+ffoEWyS99957AGEDOj/99FPwOBQUFDBt2jTWrVvHnXfe2aSLYUOXXXbZPrXQaMjhcARHNmtoxowZGIYRdl5zPv/8c/Ly8njsscfCrte3b1/+/e9/M3XqVM4880zS0tI4+eSTeeSRR4iPjyc7O5s5c+aEHUWvvqXEY489xmmnnYZhGPTv359x48ZxyimncPfdd1NRUcHxxx/PL7/8wgMPPMAxxxzD5Zdf3mx9MzIyQobZ3pu5c+eGHfno9NNPJyIiYq/r7969m/nz5wN7Wmd8/vnnJCcnk5yczKhRo1pVj9raWk455RSWLVvGU089hc/nC+l2lZycTE5ODhDoYnrfffdx//33k5CQwPjx41myZAmTJ0/m2muvpXfv3sH1brvtNqZOnco111xDv379Qsq02+3BIMbChQt56KGHOOecc+jSpQsul4vPP/+cl156ibFjx4ZcV/r06cOkSZN44IEHMAyDIUOG8NVXX/HSSy/x4IMPBrsjpaWlNRkpDALvz8TExJD3k2EYPP7441x++eXccMMNXHzxxfz666/8+c9/Zty4ccGgUr3PP/+c6upqKisrgUBro3fffRdo/bkDePLJJ/nb3/7GqaeeyhlnnBFyfGBP4OtQnx8IfE7GjRvH+eefz+9//3sKCwu555576Nu3b0jg6K677sLr9XL88ceTlpbG9u3befbZZ1m+fDnTp09vdiQ2IYQ47BzsrNNCCHEke/vtt9Ull1yiunXrpqKiopTValUdO3ZUl19+uVqzZk3Isg1H0mms8Sgr9SNdLV++vNlt33PPPQpQP/30k1Iq/KgvrfXiiy+qiRMnqi5duqiIiAhls9lUTk6OuvHGG9X27dtDli0vL1fXXnutSk1NVZGRkWrChAkqNze32VHAdu/eHbJ+c6MkNT4+9SMdvfPOOyHLNTeyULjtffLJJ2rAgAHK4XCoDh06qD/96U/q888/bzKCUkvnpt68efMUoB599NEWlwu3T/PmzVODBw9Wdrtdpaenq7/85S/K6/WGLNv4+Cml1MqVK9WECRNUbGysstlsasCAAWFH+5o5c6bq2bOnslqtex2tp7lRwJRSauHChWrs2LEqMjJSOZ1ONWzYMPXJJ5+ELHMgRnZSSqnly5erq6++WnXu3FnZ7XblcDhU165d1RVXXNFkdLZwo4AlJCSooUOHqmnTpoWMFtTS/ja0r6OANbYvo4CdffbZymazqcLCwmaXueiii5TFYlG7du1SSimVn5+vzjvvPJWQkKBiY2PVZZddppYuXdpkJC63262uvfZalZycrDRNCxlBq7a2Vt19990qOztbWa1WlZ6erm666SZVWloasu3WfD5aGgWsuVdrR/KqvxaEe40aNapVZSi1573Q3OvKK69sss7TTz+tunfvrmw2m+rYsaN64IEHQkZGVCpw7W2uzOzs7OByv/76qzr99NNVhw4dgu/xfv36qYceeki5XK4m2/Z4POqBBx5QHTt2VDabTXXv3l0988wzrdrXlr4P3nzzTdW/f39ls9lUWlqauu2228KOaNjSfrVlFLa9jYBZ71Cfn3pfffWVGjZsmHI4HCohIUFdccUVqqCgIGSZqVOnquOOO04lJCQoi8Wi4uPj1SmnnKK+/PLLVh8XIYQ4HGhK1XVeFUIIIUTQH/7wB1544QW2b9/eYu6ehkaPHk1RUdFvygUlhBBCCCHEgSBdwIQQQogGFi9ezIYNG3j++ee54YYbWh38EUIIIYQQ4nAmASAhhBCigeHDhxMREcGZZ57Z6qS+4shmmiamaba4jMXSup9M+7Os9sbv99NSw3NN01qdS2V/liVaR97bQghx5JNRwIQQQogGlFJUV1fzzjvvEBUV1aZ1582bJ92/jkB///vfsVqtLb7CJTU+0GW1Nzk5OS0el5ZGIjuQZYnWkfe2EEIc+SQHkBBCCCGOanl5eeTl5bW4TP/+/bHZbAe1rPZm5cqVuN3uZudHR0fTo0ePg16WaB15bwshjlYLFizgiSee4KeffiI/P58PPviAs88+u8V15s+fz1133cXq1avJyMjgz3/+MzfeeOPBqXALJAAkhBBCCCGEEEIIEcbnn3/Od999x6BBgzj33HP3GgDasmULffv25brrruOGG27gu+++4/e//z0zZ87k3HPPPXgVD0MCQEIIIYQQQgghhBB7oWnaXgNAd999Nx9//DFr164NTrvxxhtZsWIFixYtOgi1bJ5kahNiH5mmSV5eHtHR0WiadqirI4QQQgghhDgMKKWorKwkIyMDXT8y0+66XC48Hs+hrsYBoZRqcv9mt9ux2+37pfxFixYxfvz4kGmnnHIKU6dOxev1YrVa98t29oUEgITYR3l5eWRlZR3qagghhBBCCCEOQ9u3byczM/NQV6PNXC4XnSMS2KVqD3VVDoioqCiqqqpCpj3wwANMnjx5v5S/a9cuUlNTQ6alpqbi8/koKioiPT19v2xnX0gASIh9FB0dDQQu7DExMYe4NmJ/83q9fPXVV4wfP/6QRunFwSXn/egk5/3oUl1dTUZGBgBbt24lLi7u0FZIHDTyWT86HYrzXlFRQVZWVvB+4Ujj8XjYpWrZHnsJMVr7SuxeoTxklb/Z5B5uf7X+qde4hVF95p1D3XNEAkBC7KP6D29MTIwEgNohr9dLREQEMTEx8iPxKCLn/egk5/3oYhhG8N/yHX50kc/60elQnvdDfbP/W8VotnYXAKp3IK//aWlp7Nq1K2RaYWEhFouFxMTEA7LN1joyOyQKIYQQQgghhBBCHGaGDx/O119/HTLtq6++YvDgwYc8+CwBICGEEEIIIYQQQogwqqqqWL58OcuXLwcCw7wvX76cbdu2AXDvvfdyxRVXBJe/8cYb2bp1K3fddRdr165l2rRpTJ06lT/+8Y+HovohpAuYEEIIIYQQQgghQihNQx3h3dgaU7R9f5YuXcqYMWOCf991110AXHnllcyYMYP8/PxgMAigc+fOzJo1izvvvJPnnnuOjIwMnnnmGc4999zfvgO/kQSAhBBCCCGEEEIIIcIYPXp0MIlzODNmzGgybdSoUfz8888HsFb7RrqACSGEEEIIIYQQQrRzEgASQgghhBBCCCGEaOekC5gQQgghhBBCCCFCqLpXe9Le9qetpAWQEEIIIYQQQgghRDsnASAhhBBCCCGEEEKIdk4CQEIIIYQQQgghhBDtnOQAEkIIIYQQQgghRAiFhtK0Q12N/Uqp9rU/bSUtgIQQQgghhBBCCCHaOQkACSGEEEIIIYQQQrRzEgASQgghhBBCCCGEaOckACSEEEIIIYQQQgjRzkkSaCGEEEIIIYQQQoRQda/2pL3tT1tJCyAhhBBCCCGEEEKIdk4CQEIIIYQQQgghhBDtnASAhBBCCCGEEEIIIdo5yQEkhBBCCCGEEEKIEErTUJp2qKuxX7W3/WkraQEkhBBCCCGEEEII0c5JAEgIIYQQQgghhBCinZMAkBBCCCGEEEIIIUQ7JzmAhBBCCCGEEEIIEUJpgVd70t72p62kBZAQQgghhBBCCCFEOycBICGEEEIIIYQQQoh2TgJAQgghhBBCCCGEEO2cBICEEEIIIYQQQggh2jlJAi2EEEIIIYQQQogQCg1F+8qa3N72p62kBZAQQgghhBBCCCFEOycBICGEEEIIIYQQQoh2TgJAQgghhBBCCCGEEO2c5AASQgghhBBCCCFECKUFXu1Je9uftpIWQEIIIYQQQgghhBDtnASAhBBCCCGEEEIIIdo5CQAJIYQQQgghhBBCtHOSA0gIIYQQQgghhBAhFBqK9pU0p73tT1tJCyAhhBBCCCGEEEKIdk4CQEIIIYQQQgghhBDtnASAhBBCCCGEEEIIIdo5CQAJIYQQQgghhBBCtHOSBFoIIYQQQgghhBAhlBZ4tSftbX/aSgJAQgghhBBCHIF2uUy2VJvEWjV6Reto2lF+ZyOEEKJFEgASQgghhBDiCLK5ys+ty2qYtcsXnNYzWufBvk7OzbQdwpoJIYQ4nEkOICGEEEIIIY4QS0u89PiiIiT4A7Cu0uS8RdVcuKiKEo95iGonhBDicCYtgIQQQgghhDgCfFfk5cRvqlAtLPO/HV4+3FHO3b0cnJBkYViihRirdA0TQrSd0jRUO+ta2t72p60kACSEEEIIIcRhbrfb5KR5LQd/6nmAf6x1AYHm/l0idX7Xwcp1ne30jDEOZDWFEEIcxqQLmBBCCCGEEIe5Fze5cbcm+tOICWysNvm/DW56fVnBjUurUGofChJCCHHEkwCQEEIIIYQQh6kKr+K/m908us61X8p7cYsXy7tl/H11DZVeCQQJIcTRRLqACSGEEEIIcRj672Y3ty6rwb2fczqbwANr3Ly21c33J8WSbJdnwkKIplTdqz1pb/vTVnK1F0IIIYQQ4jDzznYP1/+0/4M/DW2shlMWVFHtU2yrMZm5zcOb2zxsq5FRxIQQoj2SFkBCCCGEEEIcRpRS/GVlzUHZ1rIyP1EflDWZPrGDlf8OjiDBJs+LhRCivZAruhBCCCGEEIeBcq/izuU1RLxfxsbqQ9tR4f2dXobNqaDWf7R3mBBCiPZDWgAJIYQQQghxiBW7Tfp8WUHBvgz1dYD8WqW4fmk104dEsKjYj8dUdIzQ2eVSvLvDw3fFfgwNTk2zcn0XO9EWjde3uvmhxI9Fg/FpVs7pYMWma5R7Fd8X+fApxaB4Cx2c8hxaCCEONgkACSGEOOwppdA07VBXQwghDpgLF1cfVsGfeq9v8/L6tvIWl/mxxM+Da1xYdfCYoGugAdNyPWQ6YGyqjf9t9+BqkFoowoARiTrjUqzkuRTlXkWyQ+fSjjYGxAVuUcq9imqfItmuYdXlO0CIg01pGqqd/f5qb/vTVhIAEkIIcVAplxfKqiHaiRZpR1XUoj78CbWlEOIi0c86Fq1TEkop1PtL8b/0DSzfGljZZgGLDr07wODOUOtBq3ChDe2KdtFQdKft0O6cEELsgyK3ydxC36Guxm9iQjBhdcNeYztc8OpWT5Pla/wwu9BkdqE7ZPoT6wN/O3WorSvPosF5mVZeGBRBXF1Oogqv4rN8LyUek86RBuNTLVgkSCSEEC2SAJAQQhzhlFKweTfUeqBTElqUo/llazyoL1agdpWjpcSgndofLcqBqnJhvvE95mvfQUUtpMSgDe6ElpmI1i0V7aQ+aBYDVVYD24ohyg6dk5ttlWP6/ahpC1Dz14Hdgn7p8Wjd0/A/OQv1vx/B4wNDh94ZsC4ffH6wGGAqzIc+gouGoeka6o1FoQW7vIH//7g58KJuiNL3lsCfZ+I/qTeW/1yDFhexPw7tnuNmmqBp0gpJCHFAfLfbd9QPTdxYbYPWQj4Fb2338t6Oco5LMHAYGt8V+XCZgZZGCkh3aPx3cCRnpFup9Sv+s8nFW9s81PrhuASDczJtlNV6iQL+uc6FZvExOsXKsES5HRJCHD3kiieEEIeIUgq1bCvq7R9QBeWQFot+an/YUYKq9aD17oA2ohuapqHW5aHW5UOEDe347hBhg+Iq/C/PQ3tpLlp5LQowNS0QWEGDSBvauL7oD5yNnpGA/7nZmI98DO4GT5ltBpw1CD76GTz+PdPzy1Artu25IUmKgl4dYNGv4Kv7Vd4zHf2GsWjxkaAU2uAuaGmxmJ/8jP/G6SHl+T9eFviVrmlg1pXqN2Hljj3b9DbY/szF+3YzNGcNvuP+BiO6oZXUQIc49IuHo53YIxi8MfNL8T/2GXy2AqpdYDUgJwXS4vCWVcENPfAecx/0zkTLTkItXA+bCsFqoJ3aH+P2U9AGdNyX2gkhRAilFI+uczF5tetQV+WI4FXwXbE/ZFr9d0W+S3Hmt1VclGXh3e0+GranWllhMjXXixMfM23wj3UuarEALhJscFc3OyUexc5aRZconQnpgcBQw6C/y68wNNheY/L6Ng+7XIoMh8YVnex0jJB8RkKII4MEgIQQRwXlN8HrR3NYATDzSgMtWdJi0TslB5bJL0NtKoAIO6p3epMyzIIKzGnzUZ8sg9KqQCAjPhKtdwf0y46HnBTU9AWYHy8Dlwetbyb6pFEwqifa5t2gaaguyfD9r5hf/IL6fAXkh+ZV8E+dH7pRpw3iIiC/bM80S12Axxf4EayUCsRWlEJXKhBY0jSodAW6UH34E/5jOsFPW5oeGI8f3lmy9wNYVAUL14dOW5ePeecbe/7WgH6Z8MsOwlKAOgjPuEtr4LMVgZsCQ8f/7hK00/qj33ka/oc+gvnrQpf3+gOBqJU7wGEAPaC8Br5ZGxqE8vpRnyzD98myQNDIGmixRKQdajzg9UGkAy0nBVVSBWU1gXlJ0WgdE9HH9kabOARsBuZ/5mK+NBeKq8BuhdMHog3IQnN5IScFfUzvwPHaWBA4393T0CzGgT92QoiDZmetyaWLq5hf5N/7wqLV3tretq50JR64b3VoN7RH1rmxaHBmugW/gm+LfJR6Q9erDw3dv9rF3T3sPNLP2aSVqGmarK4wqfJDl0idVIcEisSRRUG7a53Y3vanrSQAJEQ7ppQKBD1soR91ZZqBLkNuL2TvpcvQlt2BLkGZCWiJUfuvbm4vavk28PjQeqSjpcSgqlyoz1egiqsgORqtTyZabASkxQZaweyuRH2zJrBcXilq7hrYVBDoOjQgG23CQPTkGEiMhggb6sdNmFsK4avVsLVoz8atRkhrE78GRDugYs8TWF9SJDx6At5+90KlO7R1TEMl1ahNhfg/WVbX8oZAyxZALViH/5u1gVYv9YEPQw/Ob5VaT+DVkM8MlFf/Q7MuQV/wC61hkEWpQGKGcMGf/U3RfPDnUKk/F5//gv/LlXtaH/1WXv+e95CrwV1BeQ3q59w9f5fVwM5S1IptgffIfe9AlAMKKvYs4/HD24tRb+9p9WQaWiCLqrfuveK0BtbTNUiLQ7toKKChnpsNO0sD5znSjnbhUIzJE6G8FvOtRahfC0Cruxas2g6FlYGAU58OGFeeiHZyHzRdDwQNv9uAWrIlEFDUdahygdOKfkp/tL6ZzR4KVVaD/9WFqE+XQ40brUc6+k0nozmtqK1FEBsRCGAVVUF8BFpa3G8//kIc4RYX+zh5fiXVEvs5bPkUfJjXfDCp4bfJY+vdPLXBTbQVesdYOCHJwmf5HlaUh37fW4E4G/SOMTg308bQRAtD4g3pXiyEOGgkACT2iVKKG264gXfffZfS0lKWLVvGwIED9+s25s2bx5gxYygtLSUuLq5N6+bm5tK5c+dgvX5LWYcz5fWjPl+BOWd1INAzMBv9wqFQUYv579mYby+GajckRKJffgLajWPhq1X4/+/zPQERqwGpMdAlBW1IF4wbT0KLi8D/328w/zkLSqoDy2nA+H5ogzqhPvo5EHipT7bo8ga6Jg3ugv63s9H7N989RplmoG7//irQUiOc+g799bISAq8fNjcTPPHCwvWohetp1W9pb6OlFCHBHyBw8wuB49dc8KexxnWrz4LZMCDTluBPS1r6sSg/JMPbX8Gf36LaE3jtjV+FZlGt9QZeAAUVqBXbwpTtRk1bgG/agr2Xv7MU/1erAi3YHr0A9eTnsGFX8LMX3LIG5qOfBoKwz12B0SERZdVRW3ajZq1A/bgZVoUG/dT6XYEuf81x2qBrSuCao2moDbvA7Q1cv84+FrWzFEqrQSlUfhkUlENCFNq5Q9CsBmrZVrDogRZV3Zu21BPicFfjC3RVqpHgT7viVuD2wIIiHwuKwgeOvMBuD8wv8jO/qBaAntE604dEclyCwdJSP0VuRXaETp9YafUphNj/JAAk9skXX3zBjBkzmDdvHl26dCEpKWm/b2PEiBHk5+cTGxsLwIwZM7jjjjsoKyvb67pZWVnk5+cfkHodLtTmQnznPxvoxlTX8kS9+yPm3z8I/O327Qk2lFRj/vtrmL4g0JqnYXzA64cdpbCjFLVgPb4nP4fOybBld6MNAl+uRH25MnyFqj2o+evwn/Qo5rlDMJ69As3a9MeL/y/voBp3c2qyc43+3l4SeIm2q299JEEhEU5pNeqG6Xv+bvzZq/97Vznq3GdDcmo0CdS2Vq0n2OWu4epq82787y0JX7auod5aHPw3gHn/e2hjemO8eHUgD5UQR4i3t3so9hwGAWlxWFhXaXLiN5Uk2zXyXXveF4PiDJ4bFCFJqoUQ+5V0RBX7ZNOmTaSnpzNixAjS0tKwWEK/nDyeVjzh3gubzUZaWlqbm8V6PB4Mwwhbr/ZCubz4zn060PUDAoEevxm4YXL7AvlImrRGMQPBH9j7TVvj4E9b6/feEvz3vNV0+pqdew/+CLG/HIx8Q0ez/X14Q7ouNprXsPWWqYJ/qwXr8J3/LMonTSnEkWNBkQ9p2yEa8ilCgj8Ay8v8jJpXyeLituU0EmJ/UhqBNAPt6nWoj+qhJQEg0WZXXXUVt956K9u2bUPTNDp16sTo0aO55ZZbuOuuu0hKSmLcuHF7LUfTNF5++WXOOeccIiIi6NatGx9//HFw/rx589A0jbKyMubNm8fVV19NeXk5Wt1QzJMnTwagU6dOPPjgg1x11VXExsZy3XXXkZubi6ZpLF++vNntf//994wcORKn00lWVha33XYb1dXVv/XwHBTqo58CrXb2V3eiA0C99h1qR2irHfON7+sSGIuD6mht/XO07vfRxG/Cim3Nt0wU4jCkEUjNJkRLTAIp/+5c3kx3eSGE2Afts3mEOKCefvppcnJyeOmll1iyZAmGYXD++efzyiuvcNNNN/Hdd98FEo62wpQpU3j88cd54oknePbZZ7n00kvZunUrCQkJIcuNGDGCp556ir/97W+sXx8YiSgqak9C4ieeeIL777+f++67r1XbXblyJaeccgr/+Mc/mDp1Krt37+aWW27hlltuYfr06WHXcbvduN17RomoqAgkcfV6vXi93rDrHCi+r1eiIiyHR06T5mga/k9/xpg0KjjJV1CKsmqBpM2HOZ/DCPm/ODrIeT8CGRq+j5ZiGd9nn4uov4Yf7Gu5ODQanudD8R1+YrzirVxp1XEoOOs6sjo5co7/ihIfa0tddI2S76V9dSiu8fJ9Ig5XEgASbRYbG0t0dHSwm1W9rl278vjjj7eprKuuuoqLL74YgIcffphnn32WH3/8kVNPPTVkOZvNRmxsYCSohtusN3bsWP74xz8G/87NzW1xu0888QSXXHIJd9xxBwDdunXjmWeeYdSoUbzwwgs4HE1HxXrkkUeYMmVKk+lfffUVERERe9vV/WtCCkw46eBuc59Uw6xZe/6ckBp4HUG++eeYQ10FcQjIeT8CNbzW7KOvv/56P1REHO5crj1J/+fOnRv2O/9ASgBm2g7qJkUj02w/HuoqtMmGBbDhUFeiHTiY1/iaGmm5JQ5PEgAS+83gwYPbvE7//v2D/46MjCQ6OprCwsIDvu2ffvqJjRs38sYbbwSnKaUwTZMtW7bQq1evJuvce++93HXXXcG/KyoqyMrKYvz48cTExLS5zr+F/7HPMF/+5rDuAgZg/PNi9IlDgn+bP2zCf/Fzh7BGredzGHzzzzGM+eM3WFySX+RoIef9CGTR0SYOwfLohftchNfr5euvv2bcuHFYrdb9WDlxOGrY3Xvs2LEHfXTQYo9Jl1kVB3WbIsCJj2m2H7nGcxy1R9Bt0KKx0fSOkRZA++pQXOPrewoc6erz5rQn7W1/2urIufKJw15kZNtHYWl8EdY0DdNse1Cjrds2TZMbbriB2267rcm8jh3DD2Fut9ux2+1Nplut1oN+w2C57AR8z3y9b0lu93XknraKtGOZMBitwbFRx/fAf3wP1Nw1B6cO+4HF5ccqgYCjjpz3I4kf4+Lj0ffDdfhQXM/FwdfwHB+Kc55mhWMS7Swu9ksuoEOkFssREQDSgN4xOv0T7G0eFEU0dTA/7/JdIg5Xko1VHDFsNht+//65IRs0aBCrV6+ma9euTV422+HfLlvrlIT+yAWBP4wGPwi0uldKdOBvix5IhFufePmS4TCq52+vgL6XHyEaGE9eghYReiw1TcOYdj3aecf99joIIQSgXTYC7dhOh7oaQrTJfb2cEvwRLar/pfXPARES/BFC7DcSABJHjE6dOlFVVcWcOXMoKir6TX1r7777bhYtWsTNN9/M8uXL+fXXX/n444+59dZb92ONDyxj0iiMt29BG95tz8TOyeiPXIix4mGMz/6AftnxaKcPQJ80Gsv8v2J9+nKs79yG8cHtkBEbvuDEKPT3b8d46jLolQFWAyJsaGN6YXx7P5bZ96BfcQIM7woDO0Ji1J5fKQD9szDe+D36uUPCFq9F2LA8fxWW5Q+i3zAGshL2rB9pg9P6w6SRge2GM6Aj2sMXQHJ0m4+ZEO1SZjwYdV/nGhDRxiB2xwTIiGvdshpNfznERQQ+uxAIDtffqCREQk4KOFt4CppZt+3MBBiaA11TQufbLYFtxjqhd4fA3/USotDvPzsQbJabI3GEOS3dysuDI7BqgY+URQu8xNHnmFh4op+D6EYNklIdGu+PiOTUNGlJIoTYfw7/to9C1BkxYgQ33ngjF154IcXFxTzwwAPBoeDbqn///syfP5+//vWvnHjiiSilyMnJ4cIL9z2HxKGgj+2NPrY3yuMDrz8QqKm/ETouJ/AKt94JPdBXPIL5cy7mV6tQv+5CS41Bu2wERu/MPctdOiLs+saAjjQMz6iSKthZCjFOtOykVtVd65CA8eD5GA+eHxw1ruFNnJpyLuanywLDO1e6oEc6+tnHog/MDsy/4DjMmYsxP1gKJVWBG0NdBxQkx8KGfNhV3kIFOGK6oYmjSHwk1LjBvZcRamwG2she6I+cj94pGQBlmmh6IDpjzl+H+dI3qPX5EONEH9cX7fQBqNmrUUs3o3wmDOiIfv1ojJTYQA60r1ehXv0WtXoHWCwwMAv9+B6BYGxaHJTVwOrtYLWgndwH+maieXwQ7QAFas5q1Oqd4LCij++LlhNI+K6qXJgzF2G+uQgKKyAjDv3CYWjnH4ce2zSBvtpahCqtRsuIR0uJQSkVvDaoylrU+l1oVgN6dwj8X4gj1KTOds7KsPLqVg9rK/xEWTSmb3FTfuQMUCVaaebQCGKsOo+sq+XbokBr9lQ73NbNwR+6O7AbGr/v6mDWLi9FbkV2hM64VAuWvbW4FkKINtJUa8frFkKEqKioIDY2lvLy8oOeBFrsnVIK9XMu5JeB14+Zuxut2oPWNRVG9US9+yPmW4uhpDrQUsFmwJaiQGBoYDbmXyfwxc5VjP9sN5ZPloPPhKwEtIx41Iqt4Kr7ha4BHRMDwab6m3aHNXBz3DkZYpyB+sxcBDWe1u+ABsRGBG66DwVdCwTIlKr7twLDAL9/TwsP8wj9+oiLQLvz1EDwIcaB/6YZwXPndRh8/e+TGXfL7AOXA6hTElqfTJRpQl4ZRNrRclLQLxiKNjQHqt2wqRDsFlTHRJi1ArV6B6rChZadhNYvE21ENzS7PBXeX7xeL7NmzeL000+XvA1HgerqaqKiogAoLS096Emgm/NLmY8BX1ce6mq0a058zLR9z8WeEfslB5BG4CtSB3pE6wxLMFhebrKizI9VhwkZVv7Q3cGQhD3bqvAq3KYi0aahS+vFg+JQXOOP9PuE+vrnpt9IjN40B+qRrMJ00yn/P0fsufmtpAWQEKJd0jQN7djOwb+b9He9dTzGreObXd/r9cLOVVieuxLLf64Bn4lm23PJNCtr0arcEB+J5rCiqlyoVTtA09D6ZqJFNvqyfPRC1Ipt+N9ejMorQ9N1VGo0fLMWtheDpy7YoGuQGot+zUj0q0dCcRX+p79EzVkNVe5Ad5ru6RhXj4ST+2DeOD3QSqqxDvHo95+NPqon5ncbMP8zF5Zuafmg6Rraf69B95qoDbsg0o5+xkBIikJ9vAy1qwxSYtB/NwiUwnxzEerbDSifHy3GCR0T0WwWVF5poL4uL3RNDXTxmb8+ENg4mLITISUGftkeOL4xDrQrTsD4w+kh50fr1QH/C3NQ//sB6rNyRDvhtB7o5x2HWrIZ9dI34QN4XVPRHzofLdoBHh/0SEer9aAqXaiV21EL1gda5/VMRx+ag5YWB12SW+6yFOWAAYFk9BrAeccFXkKIdm3qljY8JBBt1vB3wFnpFt7O33tD4I5OjVu7OTgxyUL/WJ21lSYlHkXnSJ2cqH1rgRhjrU/YKIQQB58EgMQB8cYbb3DDDTeEnZednc3q1asPco2E2HearoMtNISkRzsDQYL6ZaIcaMO6tlzOgI5YBoQfZU65vWCzNA0MxEZgefryZsvUX78Jtb0Y87MVqMIKtBgH2ri+aL07BMsyzjoW46xjUR4fqqwG9cFSzK9XwcrtgaBMtAPt3CEYfzwDLa5plxwA7fLjm0wzbhkHt4xrcZ8bMhf9ivnG97C7ErqkQGpMoJXWyh2gg9Y7E214V8y5a+DbDeBvRYpUDUiPD3QD9PjAboUBWRj3nY0+NHwXyCZFdE3F8uQl8OQl4PXCrFlYVzy05ynh+H6oP56Omr8u0N3R7YPUGPSMBOiXGTaYo0EgZ82Fw1p7eIQQR7nN1TLy4L7KcsBxiVaWl/nZVG2iA+NTLQxNtLC8zE+x26RbtMGkjg6KFsOrQ6N4xbDw0kYX7+z0srzMj1dBtyidsSlWjokz6BSpc0KSJaSVzqB4SZ8qhDiySQBIHBC/+93vGDp0aNh50rxeiKZ+S3ceLSsR48axe1/OZkFLiYEbxmLcsPfl9zd9eDf0hknLm2H8/uRATpppCzCf/SqQXwogwg7xEXv+zk5Cv34M+jUj0SwHNheMZreije93QLchhDi6Jdh0dDiqRgcblWRwS1c7KXadKWtqmbu7aRAszQaRVp1av8JpKOy6TpQFRiVbuDDLRoJdJztCDwZqXH4VSKodJn+O1+tlVt2/bbrGLd2d3NLd2WQ5IYRoryQAJA6I6OhooqNllCYhxL7RNA1j0ij0q08M5Gby+yE7Cc1uRbm84PMHcudI/gQhRDtxSUcbr25tP93AEqwQa4Fd7kBXq5wonb/2cnBGupVCtyLeqpFo39OiZk6KlRKPySc7vayr9DMkwcIZ6VbsRtuu8442Li+EaJ7SNFQ7+63V3vanrSQAJIQQ4rCl6XpgKPGG0xxWQFoSCiHal3GpFk5IMvi+yH/EtgLqGqlzQrKFG7vYGZrY/G1GTDOX8ASbzpWd21fCWSGEOJxIAEgIIYQQQohDTNc0Pjshmst/rObjPO+hrk5Yp6dZ+OSEKGr9ivtX1TK30IeGxpkZVu7t6SDCcnQ/WRdCiMOdBICEEEIIIYQ4DMRYNT46Pop1FT6GfF1J1SFqChRlQN9Yg1KviQYcn2Tl9q52+sUFbh0iLRr/NzDy0FROCCHEPpMAkBBCCCGEEIeRnjEW5o6J4rg5VQd92xdlWXjluChsYZIoCyGOPupQV0DsVxIAEkIIIYQQ4jAzJMHKWRkWPsrzHbBtpNg1Uh0ahqYxPNHg5hwHfWIP7KiKQgghDh0JAAkhhBBCCHEYmjEkkuSPy/EdgEfw/WJ0Zo+KJsWh731hIYQQ7YJc8YUQQgghhDgMxdl0pg+J2K9ljkwyeHtYJEvHxUjwRwghjjLSAkgIIYQQQojD1GXZdpaWeHl6428fGezmHCv/HhS1H2olhBDiSCQBICGEEEIIIQ5jTx0TRam3mle3eva5jKs7WXn6GBm5SwjRekrTUFr7Sgjf3vanraTdpxBCCCGEEIe5V46L5PMTIukXq9Pa2xcLcEmWlZ9OjmbakCiMo/zGRwghjnbSAkgIIYQQQogjwKnpNk5NtwGwo8bkjuXVfF3go7JuoDCHDqkOGJpg5cYcO6NTrIewtkIIIQ43EgASQgghhBDiCJMZofPuiOhDXQ0hhBBHEAkACSGEEEIIIYQQIoTSAq/2pL3tT1tJDiAhhBBCCCGEEEKIdk4CQEIIIYQQQgghhBDtnASAhBBCCCGEEEIIIdo5yQEkhBBCCCGEEEKIEAoNRftKmtPe9qetJAAkhBBCCCFEO1biMflyl49qn6JPrMGwBANNO7pvgoQQ4mgkASAhhBBCCCHaAVMpXt7s5tmNbnbWmrh84FZgNlquR5TOm8MiGRQvtwJCCHE0kau+EEIIIYQQR7j1lT6Gzq6k3NeKZatMjptTyfKTo+kbJ7cDQghxtJAk0EIIIYQQQhyhlFJ8tNNDny9aF/yp51cwZn7lgauYEEKIw46E/IUQQgghhDgCzd/t5ZolNWyubtzJq3WKPPBNgYcxqbb9XDMhRHugtMCrPWlv+9NW0gJICCGEEEKII8y8Qi9j51Xtc/Cn3rmLqpld4EEptZ9qJoQQ4nAlASAhhBBCCCGOIEopJn5f1SS5874o9cK4BdUMm1uJz9wfJQohhDhcSQBICCGEEEKII8iruW5Kvfu3zB9L/Bw7u1JaAgkhRDsmASAhhBBCCCGOAKZS/H1NLZOW1h6Q8n8pN3ljq/uAlC2EOPIotHb5OppJAEgIIYQQQogjwJ9+qeWB1S78B3Abty0/MMElIYQQh54EgIQQQgghhDjMrS738X8bDnzrnFIvbK46kCEmIYQQh4oEgIQQQgghhDiM/VrpZ/jcyoO2vQfX1FLhlVxAQgjR3lgOdQWEEEIIIYQQ4flMxfgFlVT6Dt42p2/1Mn1rGQBRFhiRaOHhfk6OjZdbByGOJkoLvNqT9rY/bSVXcSGEEEIIIQ4zZR6Tv69x8dImN9WHcHT2Kh98VeDjq4JKDOCMdAsvDIogI8I4dJUSQgixTyQAJIQQQgghxGFkW41J/68qKD/MumH5gY/zfXw2q4KvToxibKp1r+vU+BTfFvnYVOUnxqrRMUJnVbmfQrfCqkOiTSPSojEq2UpWhM62aj8vbnIxd7ePMq/CoWtEWTVirRrHJ1qY1NlOikNHKUWNX1HkVviUYlW5nxm5XgrdJplOjauy7RyTYCHZBrs9YNMh+ih/8i+EEBIAEkIIIYQQ4jBy8vzDL/jTkF/B+IVV/L2PgyEJFk5KsaBrgeiKUoo5hV7+vcHF/CI/5T74bXuyZ+3P8n38dZWLrpEaW2sUnhYK/t+OQJ85rUEJ8bqP6Rbo/UU5w1Ls/LN/BKnOPS2Ztlb7+bHEj0WHkUkWEu2SLlUI0b5IAEgIIQ4jpqmoKqvF9Cui450YlvA/Pk1Toet7HmUqpait8uB2eYmKdWK1GSilMP0K3dDwuv0YFh3DouM3Fct2VFNa4yctxkpWnJW3l5WwelctkTad8wYkMCgrEk3T8Pv8FM1dT82HP7Gx1MuuqCiMzHiyB2dxzMjORETbg3Xwef14XD7sTmuz9W5ImYrtvxZTUVqDtbCCyB272bqphM2GHV9sJF37pzFoVGciYxyUVXl45cutrNhYhqr10sfuZ/zIjvQZmoVh0TFrPHg2FeD2KioiHKxemseqYg8FNjtpHeMY0z+JYzIj0LTQx7+m36RsSzHeHzcTubUQLdYBHRrMVwoNmqwHsKPMzeLcavymok+6kz5pzrDLCdFaps+P6TUxHBZ5Lx3FlpV6+bXq8A3+1PMruG+VCwV0itB5Y2gk0RY4f1E166sOXJ81Bfxa3frj03BJV121droUr2/z8fq2CkYlW7gg08J9K12UNsqzFGnAsEQLN3S2EWXV2FxtogFxVo0zMmzEWuVzKoQ4skgASAhxVPO6fXjcfpxRtpCASnNMpfhucyWvLSmiqNpHnNPCFUMSGd0tlo27a3n+20JW5ddQ7TGJdRgMSzAYoLlJdFpITItC0zQiom1s1mz8b1kJ6wpqsSuTE61eeuXtYt22qj1PNDXo2i+N0684hrzcUpYvzKUov4rKshr8HhObw8KA47Nxu7ys/mEHft+eH9y2KBs1tT7yYqIpjXSim4rkqmoSOsXzoz2GUveeZZ0eD73yd2OYJsuT4vl6XTnxVo2Omo/VLo1It4dhtRFYrSa4gU1lbNhUxtf/W8mO7lnY02LpWVRE2boCTL/CYjMYeEInTvxdL2ISnADkFrv5ZXMZCYvXk1Nbg7vGwxeFPgoaDjWsFGgaUEtkbhnb1hUy951VoGuU22xsSYwHpeiXV4Byu/ly+VZ+Vj6Oj9ZYl1vGqpQUPNbA11q5w8761GQKY3TsK0pY+P12Uu0a13dz0r9XIma3NH589Se2f70Orzvwi9+na8T4PNhuzOTR2z/l1YEDKLXa0DToFaVz35A4xmU5qJizjp+emQe7K7HZbXyXk80/e3alR1oEj0zIIis+EBSr/WUHeZM/wrcuD81U2H1+TE2j1mHD1T2DpFvGkpIZi393JZakaGzdUoI3/TurfVSsyiP5i2VYV23Hv7EA5fahRdqx/+4YjMtHkLc4F3dZLbaMeJIGZRGTEYvW6D3s2V2Je1cFlhgHzuzEZt/Xfq8f0+vHsBtoCjTLb8/t4avxYHr9WKMdIfVSfhNXWS2uSjeaDlGpMVjsFkpzS6jYWYY1wkZq33QM6546KDPwoWi8f/VMv0nezzso21aKxW4hs0MUkbOWU7GxkN2GDQZ3JvXsgUSnxVCTX4630o0jJQp7XEST41BbVIuWX4rD7UUlRFL87Uaql+/AareQeu4xOIZ3RSmF3+NHt+joxp5gp6/Gg7fKjWYx8Lu82OOcWCJswfnlGwopWLwF0+MnpksiScd1xLBaqdi4m/XPzqNy5U4sfj8aoNstWGOdRHZNxto9jV2/5FGzpQgU2GLsJHaIIaFXGmm/G4AjLTa4jdpd5eS++gPesloisuLJvvQ4rDGO4HxveS3+Wi+2hAh026H9Geg3A114IgwNoxXX3/ZuW43Jd0U+Xt5ce6ir0mr1X1dba0xGz6tEKTiIuar3i/m7fczfHb7W1X6YU+hjTmG4+TVkOiDBpmEC/WN0BsZb+XKXl0KPokukwbWdbZyebmVxsZ9nNrqYvctLjQ8S7TA00cKfejg5LsFA0zSWlvh4f6eXap+id4zBKakG66tMoi0ag+ItOAz5jIiDT2kaqp09kGhv+9NWmlLq8H/EIMRhqKKigtjYWMrLy4mJiTnU1TlkqspcLF+YS/GuSuxOK32GZpLZNXGfn16bfpOV329j3odrqCytRdc1OnRN4OTz+9EhZ88NbLXHz/yNlZRU+0iMNMiqrWHlgi143H4yOsdz4oSeOCJsKKVYlV/LrDVllNX6SI22cmafeBwV1Sz4aC2/Ls8HAiMC2NNj6T8sk1+LPJTmlzOofxn5Sx30PCaToad0o9anuPX1DWyp9OOxNLhxUoqk2lqUqSiOimwQyAjMS66sZvDWHVgaXG53R0awOiOFSqezbsdNrKbJn7+cj9diYW1acrAME9Dr/q/VvRpOD6coMoKl2Zl4DT24vGpQJxqen7pWLsdt2UZKVQ1bEuJY1SENAMNvMmBnPobfJLGmFqu5J3CkGvy/Yb3qy7SZJuNyc9E9PgocTvrmFeD0+jA10BSYmsbyrAwWd84K1KfRcWtYR8006VJUQo+C3US5Pfh0nW0JcaxLS8FtMfAadcGC+i4IdfXxahqWuv2rn+bTNBKrquhYWkFcTS1K08iPjWZLUgLKpjPgLBs3lx6DS+mh9QH+tHgJZy78mVqrBavPT7TbjQG4DYNnRw9nXUYqT82bT35kBFmb8tAU2Pw+ol2ekPPj1XWq7DZMQ8en6yzN7sDOrh3wHtuFbyPjOOuNr7ho6S/BOjf8f6nTwbb4GApjYqixBQJUhlI445z0O7M3ySVluLaVULJhNzXbS/dsMy6SiLQYnA4L9qRIEk7ujSs1ltXvrmDn0u1AIBjYtbCYzlY//tMGEnXneBwJUahaD/7Nu8HQ8UTYKfxyDe7dlVgTIkgc1QMt2s6qD1ay65c8fJVu9Fo3epULq9/EoSk6lFeS5XNRlpHEugo/XsPAZbFQ6bSDpmHYLfjde26wdLuBPdKOX0EtGnkYmIZBh5xEhp/anV5DAs20tn62mo0frqBmawk1mo7bag2eK6fHS619T/AFpYiw6tjLqwOfGw2MpCjcJmi1Lrghi4ppuzB9gXMeU1tLt4Jiol0utibGUxHhxPD5wGGlLCoSjzfwWUhIiaTr8Z2p2lJEwXebQ84zukZstI3I8iq0KhdenxlYt8H1w/D7QYHTt6e7SsP3cI3Fgq8uINd4ngnoShERZSM+J5GSZTswvP6QLi8AqWf0I3V8L7ZN/57y5TsCVXPaiBnaCXtOCs6UKGILSnEv3MB7GVm83bUbRbFRZMfbuLqrk7OzHVjDBGjcxVXkbyji+1I/hR2S6Rhn44xMO3ZDo8rt56MvN7NpewVlTgfu7hn0TbLRL95KqkPnhfU1vLGplho/ROiKS7NsXNgjitn5HjaUeVlV5mNnrYnPhCSHzs09I/hdlp23c10s2OVBASNTbVzZ1Ulao2TEFR6TD7a52VrlJ96mMTHbQYdIg101fl7dVMvPeeW8fWomAAVFJaQkxoes7/Ir3vihkNnbajE1jRGdIrnymATibOGvuOvKfLy2qZbt1X4SHTrnd3IwrKoU1uWD04Y2rCua00aNT/HyFjcvbXazvcYk2a5zVScbF3W0cvuyWmbtOtJCJ401eHpxmHLiY6btey72jKD2ID0Hj9RpMYl3uh3ibDprK83gd2m4xe06dI/SuaqTnUld7MRY4PsiH1NzPeyoMUl16JyZbqFzpE6SXadLlIHPVMwt9LG91iTVrjEs0cJHeV621Zgk2TQmZlpZXW6yocpPtEXjzHRru+z25vV6mTVrFqeffjpW697zVu0PR/p9Qn3912XfSrRu3/sKR5BK003Prc8esefmt5IAUDt21VVX8corrwBgsVjIyspi4sSJTJkyhd27d9O5c+ew6y1atIhhw4YBUFtby6OPPspbb71Fbm4u0dHRjB49milTptCnT5/gOpMnT2bKlClNyurRowfr1q1rsZ79+vVj6NChvPzyy03mzZw5kyuuuIIdO3aQmprKiy++yPPPP8/GjRuxWq107tyZiy66iLvvvjvstrds2cKWLVvo0KFDyLyGx6be0KFDWbx4cYt1behIv7DvDz9+vZEv31iOUioQ8NHA9Cs69U7hottHYHe27UvWXevlpb99TUlBddj5J0zoyUnn92PmT0U8t7AAl08R4fFw/MZcHD5/6MIanDChF19YovlmYyWGDqYKBEwSyysZmrsjeBNVr+FNVWFCNKeOcfPO4hhydhYFAjCahl5/yVSKrJIy0soryY+N5oNBfamw2+lQXklOYRF+XWdx547kFBWTWVZRXyW8msayjh0oiI0O3qg2DDI4vD5efv09VmWksTojdZ9+TlfbrMzr3gVT00IDPXXbaDzN8JsMyd3OMdvzyCwrpzA6ig8G9GZbUgKaUsHAkW6aZJeU0Su/EKPhV0eYMgE0pUgrr2Dc2o1Euz1NjjcEjvlPHTvwQ5eOze6PZpqM3rCZ1MqqwN9102ssFsojHCzLzKA8MiLsuqquHsmVVQzaupMYt5tqm431aclkFZfgsVpRaCRVVVNrs/K/Yf0ZO84MBIBo2gpGMxX/+t/HdC0spmNJOXb/nvedCczpmcOa1GQu/ukXqux2LMoko7QCQ6lgsM5j6FQ4Aj+mVnZI49kxI6hyODD8JkoDU9cZunkb93wxjwivN2T7bl0jNymRrLJyIj2BefkxUaxKT6XGbkVHI728gphaF0rTmry/G6pw2NkVE113QEMDXUlV1Zz46xaKoyPRe6QTtSEPVeNhV0w0xVERKF3DZxh4DB1TC+yZX9OotVhw17XCQtOw+HxEuT2BII/fz8BtedhMMxgMrbVY2JSSyJaEONBDbzoavvdVXX3LoiNRpmJQ52iqf9yCW99zjqw+P4lVVRRFR+EzjPDvS6XQTZNIjxePxcDUNDSl8DitxF2TStn0QvDu+YyjafTeuYvOxaVsTEogNzkBt2XP/gFYvD5iPJ5gXZuo29e4mlosSuE2DCrttuD+anX1Cbe+CVTbbU3OZWjxgQCn4TeJ8PnCfs4gkLzX0DUwFV5dx221hDwFdXi8PDX2eBb06AIKlB643pmaxshUK++OicdpCSzvLqpi3b/mUDj/V7S6/St32PngmL4sGNKHe9yFRL/9PfHVe1qylDodvDZsEItysutrHlJTw2/i8Hqx+7yUREU1s7eh+Vx0DawavD4yjlMzA5+pVzbW8qclFdT6A/P8dQuPSrOysMCLCZi11VRdlwPAgDc38v6Z2XSJDpzXpRvLOHdBBSU2O7ppBraladiVyasjojmta3TIsb/3pyqeW1eDURfD7lxcwhP/+5RRv27ZU+loB5W3nsrY3kNZWW4G9x72BPEP4SBfR5VDEQA6EBw6JNlgh6v5ZTpH6pR7TEq8TedZNfCpptdZqwa3d7PzaH8nRjtqJSEBoLaTAFD7deRe+USrnHrqqUyfPh2v18vChQu59tprqa6uDgZMZs+eHRLIAUhMDLSycLvdnHzyyWzbto0nn3ySoUOHUlBQwCOPPMLQoUOZPXt2MFAE0KdPH2bPnh1SlsWy97fYpEmT+Nvf/sYzzzxDREToTdy0adM488wzSU1NZerUqdx1110888wzjBo1CrfbzS+//MKaNWualPntt9/icrk4//zzmTFjBn/961+bPTb1bDZbk2VE89Yu2cHnry0L/t0wlrx13W7efW4xl/7xxDaV+b+nv282+APw7SfryDUtvLA9cNNt+E1O3LAFmxnmp7OCbz9ey5YOaZAYj79uEWWaDNq6M+xNUv3fOpBWUQnYKLfb8RoGNr9/T/AHQNPYnhjPsqwMFnfpCGhoKDYnxfNrahLHbd7G6F83B2+w6suuctgpjooIlhFaAQ2X1cL8bp05ed1G1qckBZ/8t8XmpITAdsP9eGs0LbO0jPtmfUNyVTW+upvMngVFDNyezyOnjmJXbAxKQbTbTWJ1TaD8xHi6FpWgmWbgJraZH4lK08iPicbhbf6mVAOO2Z7H8qz0QOuNxmUALpuVx04ZjctqIbO0nNEbNqHQ2JEQF9KqKbWikh67dlNjt7E8MwOfxUBTCk3B7phoFnbvzIRf1pJeVsGG1GTm9+zWpFVUUo0LsDFky3a+y+6I2SgooaHYER/Lqat/bVJXXSnGrdtEv7wClnbKCq67MiONaLeb9LIKUiqr8RuBY5abGM8T40fhr6uDv0FXoiWdMvn7GSfxyIdfBI+bH6iIiKBHYVHIdlMrqkivqOK7zh0pjo4kPzYGm9eHwx8aFG14/P2aRkFMdNM5dXUpiork19Qkeu3ajfvnzZi6TlFUJMXRkQB4DCPQiqXBZ0JXikivF4tpUl3X8sZnGLitFiK8PtA0VmZl0CevgKi6gInD56NvXgGRLjerMtObrS9ArMuNV9dx+HyULCkBLfTceA2dXXGxZJaUsTMuFhWuS5GmYRoGlU4jpO4tfVbWZqSSXl5JZlkF6xu0zINA8KbF4E99OUpR6bAT7XZTa7OGBLvqW9WFW9/bqOVPY4rA50xTCkOZzX7OoC7QYCo8RmhLqXo1NiuTvl/KjoRYNqUkAYGgN8C3BV4eWFbJ40Ni8JTVsOTGN6gpqAy5Jsa63Fy16Cd65heStXNXk+3H1bq47ZvvAeqCQKE19Rs6tVgD751mgsr1+1zPVOBRcOmCMpZMSOSXEh+3LK4Izm+YQ/mbXd6wZeTXmPxudik//y6JijIXZ82voKruWtTw8+9G55Lvq1iUYKNnQuBm6Nm1NTy3LnBd9CvIKC3ns6enEl/TqAtXpYs7thuszvChGr1vJfAj9oXLbDn4A7ClhWZHjfOLqwbTn9zgptav+PegyN9WSSHEYan9tfETIex2O2lpaWRlZXHJJZdw6aWX8uGHHwbnJyYmkpaWFvKqj4w/9dRTLFq0iE8//ZQLLriA7OxsjjvuON577z169erFpEmTQm76LRZLk7KSkpL2WsfLL78ct9vNO++8EzJ927ZtzJ07l0mTJgHwySefcMEFFzBp0iS6du1Knz59uPjii/nHP/7RpMypU6dyySWXcPnllzNt2jTCNXSrPzb1r4SEhFYdUxEI9sz/cE2zdxrKVGz8ZRe7tpW1uszyoho2rylsebvAmm82Bv/uWFwS0iUp3PI98wtDbnTSyyux1j0xb0n9xXHgjnysdTk5wpUf53Khmwqla5i6jt8wyCopI7WqGuoCKg3Xja110X9HfovbXp+WgmGqpjcRrZQXG9Oq/s0Rbg9TPplNQl1gx6IUhgq0Dlibnkzv/EJG/bqF0Ru3cOz2PDqWlNGxpIxuRSWYwb4oLTcija91YTXNFo+3rhRddpeEnacBLouFgthoyiOcrE1P4bkxx/PRwN7Bm9PAghoFsTHsiolmVUYa/vobN00LBgJqrVY+HNiHD4/py6aUxNBj1Oh4HbM9jzN/WYdmhu6fqWnB4E+TfdI0FJBYVRMyWek6FQ4H2xLi2JKcQJkzkI/lwwGBfVB6069iU9dZlt2BNekpwWnFUZEkV1U3eU/Vrz1iy7a6DSoqnA5aUu50BFs2NGdjchImYPX7MYHddcEfv6bt6cLUMBhS93L4/Vjrg0+ahstqDW7Lr2usTU8J3vTWr925pIy4Ft7v9U+n42tq9ywXJoAKkBcXQ2J184HkkJZ3zQVKGy4O7EiIxenzEV8bescV7XI37f4Ydgc0/IZBmdOJr9H5Nlq4hvlaCLBCaNdLn2G0WA+NQBDRXR+4a1SuDujK5LIfljVZ1wRmbKylwmOydeYSXAWV6GbTz74icM2s317j7Svg8sU/ozezz2ZdcHRv56TxNv0KXlpfw5TlVW3ufGQq2Fpt8sl2Ny98nkulzdYk8AuBQJsJ/N+8AgA8fsX/rQ59n901ZyHxNS4sjY7N7qgI3hoyAL8mP7vF4U8Bz2/ysLXav9dlRfun2unraCYtgI4yTqcTrzdMW9Aw3nzzTcaNG8eAAQNCpuu6zp133smll17KihUrGDhw4G+qU2JiImeddRbTp0/nyiuvDE6fPn06qampnHbaaQCkpaUxf/58tm7dSnZ2dnPFUVlZyTvvvMMPP/xAz549qa6uZt68eYwZMyZkuXnz5pGSkkJcXByjRo3ioYceIiUlpZlSAy2i3G538O+KisBTRq/X2+pj2l5UlNSyO78cvYXGKZquse7n7SSmt+4J0voVO9BbcUWK87hw4MPUdXIqyjD2so6BSYqrmrK6LkJJ7ho0y95v2Orr4tBNzBa2oaPIri5nR3xcYIJS9CouanYbOpBVXclmr4sae/hWZ5pF4bMbWAzVqmPSmGFR2PS9P1c+adMmIk0v2HTqf+b5dI05PXMojoxEaVrIU4KG/9YInOO93ag58eNztNyKyQTsuj/svioAm7ZnfwLNGNidEM12dy2dSspClt+YlQJ1XRKb1kzHqzRKndZmb9rr62BYoHNFGX2KCtmYsieQ3WNXIem1Vfhb2CeNwPusMCY6ZGqtzYELH9h0dCv80jkDi15/BJoy/CYLe3ehR2kxAA7NxOdo/ibfBDpUV5AXF4tHWTA9zd9suiOsgbb+zZ4/DZfNhjvCisU0qYh04ncEDo7baqB0Wmyh4dD8eOseJig0/H69rtughged3YlRJDboHmQCmdUVlMWG78oXqBEYgG8vzfdNDGw1ZmD/mi2pkfplw62joDLaia/CwImf0rplDL+JxQomzXfPCldW4+Om0INJrpssbtPCt2RqVCRo+JVCtfBcTxEIKKlm8thA4OPVo7SYrMoyiqIbdcPyw/LCWvyzVqIs4T9Bpqah6kYAbO4HdpzfzcCCXaxNb/77ts0UfLmtmp01Ji2HPusX91MfurHjx9B8zN5ezbpiH44EH81+Q+jwTbmJ1+vlpyIPNW4vzvpZfsW5K1ehbBreRt1Hl3XpgNVQWI+49Mjtj7PuHDjlXLTI0ODt3Fru7N4+uv7U/04/mL/Xj7Z7A3HkkBxA7dhVV11FWVlZsMXPjz/+yOmnn85JJ53EY489RufOnXE6neiNnnSVl5djGAZOp5MbbriBp556qknZy5YtY9CgQbz99ttccMEFTJ48mX/84x846xPa1rnooovC5vZp7IsvvuD0009n48aNdOnSBaUUXbp04eKLL+bhhx8GID8/n4kTJ7J48WK6d+/O8OHDOf300znvvPNC9uG///0vzz//PMuWBZ5i3nHHHRQVFfH6668Hl3n77beJiooiOzubLVu2cP/99+Pz+fjpp5+w28N/2TWX5+jNN99s0nVNCCGEEIcnl8vFRRddBMBbb72Fw9GasJEQQrReTU0Nl1xyyRGbZ6Y+B9DadpoDqJfkABLt1aeffkpUVBQ+nw+v18tZZ53Fs88+S01NoIvC22+/Ta9evULWMYy95xypjxs2HOmpR48efPzxxyHLRUdH0xrjx48nMzOT6dOn849//IO5c+eSm5vL1VdfHVwmPT2dRYsWsWrVKubPn8/333/PlVdeycsvv8wXX3wRDAJNnTqVyy67LLjeZZddxsiRIykrKyMuLg6ACy+8MDi/b9++DB48mOzsbD777DMmTpwYto733nsvd911V/DviooKsrKyGD9+/FF38fB6fDzzh8/xelpuHjzh6mPpMyyrVWXm55byyiPzW1xGATU2Gwu6dwZg2KZc4mvdLa4DsKBrJ6rrku6mllUwaC9dsCDQEqTvGTZWfebBbOFBoQlsTEkM5syIrallxOZtLZYdWCeJTSmNhuWu+1xNe/VdNAXvHtM3mBemLd0a8mKjWZGVsdflHv7gCzqWlodM+6RfDyocjtZ3wWicyLqR/jvyGLQ1D4sK3w1MAR7DwutDBzbpdmES6NayoFvnYC6Uxsau24Td1+AEtZA7pDUan/daq5VXhw8KzFMmA7fl8d/X399rOT9nZTRqARRg8/pIqa5G85s8ctqY4PsybF1MkwuXruCCn1YCgdYVRgvPbExgS2ICG9KSSSuvINrtaXbZGpuVnXGxzc6vT5w9YvNW/JpGtd0efI9X2yzhE4w3rIumUVb3QEBTirja2uD515QipbKKTsVlIXXfHR3Jzx0zmy2zLdLKKtgV14brslUj7rJkyl7f3TQ5BjBkyzZiXG7mds9B1X0mHR4vTl/45M1tohRR7paSQFtbTgJN4Jha/CYOX/PdVSHQAshlNfb6GfnLWacEEtU34DBg2e8SWX7ufzDd4a/9pqbhaUXesifGjWTdfmwBZGhwSgc7s3bs/fsAQLn2dNP8Q+UAvN5o7u4fxbIv1vFVWodmW11ppqKPu4ovr8qhyG1yzEdF1DfeMvwma6Y8ia3xgAQEEnn3fuCuZlt9ioPHiY9pth+5xnPcEZ0E+kDTgUf6Obkxp33c+Hu9Xr7++mvGjRt3UJNAC3E4kitfOzdmzBheeOEFrFYrGRkZwYtebm4uAFlZWXTt2jXsut27dw+bYBkIjuzVrVu34DSbzdZsWXuj6zpXXXUVM2bMYMqUKUyfPp2RI0eGlF+vb9++9O3bl5tvvplvv/2WE088kfnz5zNmzBjWrFnDDz/8wJIlS0JGBvP7/cycOZObbrop7PbT09PJzs7m11+bJnatZ7fbw7YOslqtB+3L5HBhtVoZcHxnlszZFL7rggYOp5U+Q7OxWluXxLhjtxTsDhu1Vc3ftALsyk7Ga+ooYF1CMkO37mhx+SqbjVKbM9jLZnt0LH39uzBakQcIwO8D09fyDd72qFg8ZuCmsNTqwOfXQhNGh1FicwTXaWjAtp04a7x836UjPqVTrVlweH3otP4mM7W4ksTIKvLrb+CaGVp9a3QsWQWlIcPTVxh2TH8bbmfVnuG2NaWCA/sooNeuQnruKMSNjt3lbdLtqn5Y+zm9c/CZepOeUG7DYHHHjlTr1mYzpfp9KjRAp+r+09wN7l4CVsG6+QLnvsZq4DED+Z3iatyc/eNKvH4Nh9fX7I2219ApskeEybKp0L1+NI+Jxe/nxDWb+bR/r7D5RgA0E8at2IDFFbihLHfYiXG5W0zeV+CIIKLKTXSlq8XcNJEeN3abJ5APJsxIWQroua0Ai8uP32IhwuchstJFjc2Kza/hthjN5wADPFYjsP9KYff60Bsdi/iymuB+1duVEh02+NKwXAjkJGopN45umoER3Fooq1leFbKephRxNbWklFSRmxiHMjXq7/h9pobuUbh1Hdte8lwFdqD596VLGTi9oUEgRaDLG5oKrtZwHgTyMVlMM5Dc2q/QvE0TStd9JAP5nDBxK73Zc2cCWxPjyY2ND5muA1d3iyAx0kH66F7kzVq5Z3itRsvpfg1/o+6jDetSEuFkeWpa+O5qrfx8hiv45r6xVKsqvs7zhKtao8X3fC+5MfDrFi7rFkX/X6P4sLaF73MdruoSgdVqJd0Kp3aM5MNt7sD2DPiwV28u+OmXJrnp4ly1XLlgKU+ddEKzn3dxcNVikQBQC6waXNw5Aqu1fb1fD+Zv9vZyb6A0rVV5JY8k7W1/2qp9fapFE5GRkXTt2pXs7Ow2X4guuugiZs+ezYoVK0Kmm6bJv/71L3r37t0kP9BvcfXVV7Njxw7ef/993n///WDy55b07t0bgOq6hJ9Tp05l5MiRrFixguXLlwdff/7zn5k6dWqz5RQXF7N9+3bS09ObXUaEGjOxD0np0YE8MA1ouoaua0y8aShWW9tGsLrw9hEtzk/JjOGGK/pSN+I8hTFRFEU4m801oWmwpmsmhhY6cXWH1FYHUwrqEt+G24YC8mKiqWrQisNnGOyIi2l2ZBdFIKlxYVTT3EjRtS5unreYBV07sT41mc2J8czt2ZWF3TqzOzKi1UnrNGDQtp30zisI3lQGZoTu9eyeOSHBH2BP8t426FG4m9NWraPnrkI6FZfQJ6+AM39Zy4Ad+YEbT12nwmnHY+gh+1AcGcGn/Xo2bQlFINgxu1fX5pMZK0Wky4298dP2vSWQbWOC2QqnnWGbt/HnL+bx1P8+JbOsgu3xgZYzjc9H/Y32mvTU8Dd5mhYY7lspHF4fE1auJa2ismlC3LpzcuXin0lqkFA60u0OJppuzNSgxOnA1DV65xegm2YgSEPgpr5x0kMFZJZVBM93YLS0QMBGU4ohudtJrqrGZbEEk213KCvHMBVWX13wK0yQs36Kq64lqdVvhg5lXxcQSmiU/6fCYSc/TIuphuUqoMJu25NEuZkga0plFZV2GwmVVaFJvJUKjFzXUnBWKTRTBYc2T6iuYdDWHWxNiKPa4SChqjqwvlL4NA1f3flw1+1vSILJuuVQCqfHg9Xnb3bbfkOn2m7DYxj465INq7pjE+X2EFNTi08PbM+vaXh1DT+EfH6VYeA29OCocvXMupdB4P1pN5v5jCsFGrxx3MDAcYLge/PEVCtTjgnkBOp02XEYdmvYVjJKgy2J8cHtNq4HwKvDj92T+Lzu+Bh178Njt+7Y6+ez4Ser/tr+4KAohiRZeeTYaGKsWug1n9B4V7jk1P8ZHkOK02DMmT2YtPnXkH0Hgu+j08oKuWz0nlZqjw+OJivSCG7v/8adSI3Nii/MsZny6RzOKCkIqXfjegpxuHikn5Mku9wmCtEeSej7KFdcXMyuXaHDtcbFxeFwOLjzzjv56KOPmDBhQsgw8A8//DBr165l9uzZIV3AfD5fk7I0TSM1NbVVdencuTNjx47l+uuvx2q1ct5554XMv+mmm8jIyGDs2LFkZmaSn5/Pgw8+SHJyMsOHD8fr9fLaa6/x97//nb59+4ase+211/L444+zYsUKcnJymDx5Mueeey7p6enk5ubyl7/8haSkJM4555y2HL6jmiPSxjX3j+W7z9axdO4mXNVeNA26D0jnxN/1okNO20dVy+6RzDX3j+Gdfy+isnTPaDuaBv1GdOSs64ag6zrPn9+Jp+bvYl2Bi8U52fTbkU/H0vKQH/bxKZGcf8twJsVF8tqSIj5ZXYrbp4i264w+pRt9K5JZ+N6qkBZM9aPUKPbcZOTHRJFUWh0aLa97kq+AbfGxaHUtJupvXNanJJFYXUOk2xNyM1Nf9tq0pNCnD3VDmB+3eRtvnzAIi83Ct8kp1NgC3QWqHHZ+yMkmtaSMwXVBlZD7hrqbwNiaWjxWC4ZpEl9Ti9Xnp0txKQVRkSzpnLXnYNZZm5HGR/17cdYva4PBi5zdJaxNT2n10xFdKboUlWD3+YOj/5gEuk79mpJIUlUNNp+PSI+X5ZnpbExOwu7347JaKHc239UsxuXG4fVRa7OGr4umkVNUEnpjpxQZZRVEuN38mpYS2uKi7hh1L9hNaYSTouiolvdRKax+kwm/rMPq99OtoAiX1UJxVASVTge/piTSsaQMR4MAlKYUqzLS2BkfpmuVUlj9fpx1Q4ZHud1Y/CaTP5nN24P713VzC3wlJ1dWce7Pqxi5KZfiSGfgfPv9OHx+dFNh1cAwVTAwYyhFmdNJ+cTjGFZTQ1XBbhJqXZQYOksG96LACw6Xh9TySnoWFmGYJn5dp9ZqIbrWhd9hI+a4Tugl1djW7iQpfzcuq43vunbGbkCv4hIs5TXYUeSUFFMYEYnSdWqsVlT94WXPe9JlGOhKEeF2Y63rkhRsvWOa9MovDPmcVcRH43jmMk5NjaEyr4J1s9ZQtG7PiIAK8Bk6eo90hozOoXj2WkrWF2CYCl+DLsuG30+k28OO2BgsQElUZGCEvvrEy5q2Z0TIxq1xGgZSUHVBFxcOn48VWRlY02Pp1D+dyPUFRPy6myqHHa9hYGoadr+farudUps10NpJKXSlUFqgdVyMy42lLmBUbmkmYK0UStPwWC24oUkLHqvfT3ZxKellFfh0nd0xUZRFRFBj2/NgJzLWgdPiwFtQiccX2D9NBdrZWOwWut5zCpGdkyicu47CZTso3lgUEhW0mCZddhVz1fc/MXPoQIrSE+mSEcXVPSP5XZYdS11QIyIznsHPXcTKBz6hZltpsCWf0uCb7jmsO/9E/mKUkf/SAiiqDJZfHBnBq8MHsbRTVvA9kVVSRr/8AtIqqjjn55V0KSvn6ivP58esDk0OUZ84gykDI5mxyc38XR5QcGKalZt7RjIyLXCt7BpjYd5pCTywrIpPtruDLYGGJlv5a/9INlf6eWF9DWsbDOY2c0wsJ3UOdFc07BaeuGsIPacuY5onMpioOqu8nCsjXPzh+j7oxp5vgxSnwbzTEvj32hqmbqghNymBc2+/mlfe+YgOmxt0NbZZcFw7ig+u7c7cEsXULW62VJuk2jUu7Wjj4XUuVpabR/3INKJ1Gl5TG/67XsPfK7FWKG0Qg48woNa/Z504K5Q1mJ/p1JjSx8k1ndtH1y8hRFOSBLoda5wEuqHc3Fw6d+4cdr2ZM2cGkyPW1NTwyCOP8NZbb7F161aio6MZM2YMkydPDgmyNJcg2W6343K5mkxvzsyZM7nkkku4/vrrefHFF0Pmvffee0ybNo1ly5ZRXFxMUlISw4cP54EHHqBfv3689957XHDBBeTl5YUNOvXv35/Ro0fz2GOPcfbZZ7Ns2TLKyspIT09nzJgx/OMf/yArq3X5amBPcrSjNYFYQ6apcFV7sNotbW7105zi/EqKdlVis1vo2D0Jw9L0SVRuiZviah/JURY6RFvZsqaA2movWd0SiUsKbWGjlMLtU9gtWjBwWVPpZsV3W9mwpYxtBTUUlLnxe018uo4/zsFZg8uwVWZhGAZZ3RKpLnezYXk+uWsLg/mP/JrGjqQ48pITKLLY0EzF8ZtyuWDpcjYnJ7ExJSnY/SIvNoaNKYnU2KyBp/R1L6fyc01HK+eO60xMQuBGZOP8Tbw1O5e1PiteBamVVSi7haL4GFLyikJGUNJNk+FbttGtsDjwSLnuptdraHzRuwclURHsjI1heVZGk6HTlWkyft1GTl+5no5l5VTZbHw4oDc+o/kuNg0OKj12FXJMXVCq3q7oKBZ36Uit1UqX3cUcu21nsKWCX9PYnBjHj52zA61O6rZRH0Bo+KO22mphSacsqhz2YIDN8Jv4DZ3Ou4vpk18YbKkB0GV3CcO3bMUwFetSk1mbnkJlXQsiU4PeOwsYkrudWquFH7pksyMhrkkgTrdA/7PtrH+3mi75JTh8PkAR4fXRubgUTBO3YcHUNaxeHw6/n6oIBx6l0Td/F5V2Owu6d6E0MiKkO4vD4yWhpgZDhz7/OIvY1Ch2P/8N7jV5KJ+fMqWzw2LHME0SrRpetw9rbSAIZrXoGLVurKbCSIwi7rxj0SwGlT9uwedXOE/uQ9rlQ9HrW/xUu/GX1WDER6JH2Khy+9lV4SXKrpNshe3Tv6folzw0q0Hi6O5kntYHS8Se3CQ1+eWUb9yNbjFI6J+BxWnFu2ADvhXb0KwG1lE90bul4imtpXjlTkpW5qFME0tiFFHdUomJNIjJLeTXn/PYvLoQb0UtmsUgtl8Gzi7JuOauJXJ3OY7ESBIvOY7UiYOavLX8Pj8bv1pPZX4FiV2T6Di8E4YtECDzuX2s/Wglaz5ehbeoCotpEpUaTeeJAyjZXML2H7bi9/iwRdroNr4n3c/oTcEv+RStL2TbD1up2V0Vsi3N0HAkOrCfHUPt/0oxdIOotBhiM+OITIwgZ1xPolL3tE5yF1Vhun3Y4iPwVbvx1njZMWcdG2etoaLWjxcN3dBI6pnKoPHdiNuQh7usBqNfFt4e6fzy2NdUbCras32Lji3WibukGk3X0QwNs+76ouo+MwqwaHtaohh+f+CzrGtEpETT69bRpJ24pwu2r9pN8Zx1eEprcGQlkHhCDrot9Jmf3+0j98MVlP9aiG41cKREY4u0E9stmYSBmSEPeMJRSlG2YieVGwvY7dep7Z9Np46xZEbWtYYyFaWr86koqMSMc7IiIYmvC7x4TUh16pyX7aCft4baz1agSqsxOibiOL0/RNoprDWZnedmc5WfeJvOJV0cJO5lNMHGit0m+TWB9TtEhq5bUVlFbF2Ls9LS0mB+wIY8FS5KNhRiahopvdOwOFtuRa2Uwm2CXQ88/DJXbEOtzQOnFX10L7QWRrgr8Zhc9kM1n+/yhb2hF/uPEx8zbd9zsWfEAekCphHIl3VsrMbyckVVgwZ3A2M1Lsiy8XGejxXlfpSCDKdG92iDY+IsnJpqYX6Rj/9udrG9tq4sHeyGRp8YnY4ROnZDI7kucKgB03M97Kg1SXPoXJBpZWuNyeZqkwSbxnmZNlLtGj+X+dleY5Lq0BmaYFDkVuysNUmy62RF6Gyt9vNrlUmMVePYeAOjHXaP8Xq9zJo1i9NPP/2g5gA6ku8T6uu/ptNt7TIJdO/cZ47Yc/NbSQBIiH10pF/YRcta+rFg+k22rN1NVVktUXFOOvdKRtM13F4T77o8CtcWUmhYqPJDRLSd+JQoVFocpW5FUpSFxEiDhZsqqXGbdEl2MDQ7CmMvQz03VOsxWbymiPKCKhJ1k6ysGNI7xOCbv57aBetRPhN7/0wiJgxky85K8jaXohsasTlJvLnVw8/bqiipDDzyS4gwOH9gIid2ieTJj3PZsaOC9LJKOlRUYDHVnlGrG/akoa7bjtPOsR2jueC8nrg3FOBz+9iBlRLdgt1ppdegdHyLNrJr+neovDIqLRZ+yu7Awl5dybEreltNtq4uwO8zQ4IlujLpqtyM7BmP7aS+fG1E8vXSAqprfHS1+DlvZAe658Tx6fSf+XVFPqbPJKukjIG7CoivqA60fBjahQ9PPJbnjQRcPoUl0sbFCYqJC5dStraAYlPD4zUD3WN0DWufDsT2TicyxkaFsZn42S5qt5ZiibDR4eSedDq7P1YNKt9cTPWHP2NWuLBkJxJ98VCcZw5k05pCchdsInXZJuKtYOnTgeLkOKo2FqGXVGK36MQf25GMM/thjQkdLRECN8ve0mo0XcMSF4HymXjLazGcViyRdky3F+Xxo0fa0CSHCBC44fa5fRhWI6RVxt6U5pZQXViFPcZOQpckDJtx0G8OyjcUUplbjMVpJenYjlgibKgGAVFXSTXFy7aDrqOpQCDF7/ET2zWZjLHd8RRWYvpMIjrGYzglsXBbVVdXExUV6NLWXADoUFhX4Wd2oZcqr+LeVa1/eCZary0BIJ3Ad12MBaKtGtEWjRqvSYkXPGYg0HN8ooVIAzZUKyItMLGDjWs620iw1eUF9JiUeBQpdp1oa+u/511+hU0HvR0GYw4FCQC1nQSA2i8JAAmxj470C7to2aH4sXAw+UyF16dwWLWQJ/3rCmrZUOjCakBadQ0VO8sxDJ0u/VKISYxk2Y5qynyQFGVlSMcoLPshiUV1hYudm0pA08jMSSAiuvU/NHxePzWVbmwOK44IK6ouIW6wZZFSuPyBH+qNWzSYfhNPtQer04pRl6y8vZ93EZ6c96PL4RoAamj8gkq+LmhhCMrDkFMHK1DRKAGUQ4cz0y04DY3Xt3lb3cJJJ3Dtrml7aromNGBsioX+kSajds7j64zRXNo5giWlPt7b4WNTXVMdTYNSj8JpaJyZYeWObnYGxEnGjCOdBIDarr7+q9tpAKjPURwAkiuaOOAWLlzIaaed1uz8qqqqZucJIQ4Mi65hsTUN3vRMddIztb6FSjwMCc3FcWKv/f8jIDLGQfdj9j5sfTgWq0FMwp6uFY1bx2iahrOZbzrd0HHENJNkWgghDqG3h0WS+Wn5fgl+7A+XZ1up9AZaxJycYuGERIMfSvwsLvGR4dC5qKON/nWBkhqfYrfbZG2liU2HYQkWIiyB75unjjGZle+lwqvoHm2go7hnpYslpXt2NMEKd3Z38NdeDjRN453tbu5d6WJTdSCyFGnAxA5WyryKT/N9IQGlzhEaj/WPYGKmlXmFXn4p85NgD3SPclr0QCBgJ/xrYGA0t+FJVm5rOuCsEEK0WxIAEgfc4MGDWb58+aGuhhBCCCHEESHeprP+1FiOm1NBvuvQN9Y/r4ON33UI7W54TIKVG8MsG2HRyLYYZEc2zduUYNO5LDv0QcKPqTY2VvkpcCk6ODU6NVrv/Cw752fZqfYpav2KeJsWzFNT6jEpcCmS7RqJjUatOinVxkmtG4dECCGOGhIAEgec0+mka9eue19QCCGEEEIAkBmhs+PMWLI+LSPvEKcEGhi3fwZ4aE7XKIOuUS0vE2nRiLSEtlyNt+nESxosIYRoNQkACSGEEEIIcRjSNY3vxsbQ+4sKas29L38gxFmhY5jWPEKI9k9pWuiIqe1Ae9uftpKhRIQQQgghhDhMdYo02DEhluyIQ3PT8mi/piMXCiGEODJJAEgIIYQQQojDWIJNZ8vpsfyh+8Edjad7lMb1XdrXCEBCCHE0kwCQEEIIIYQQhzlN0/jngAgKz4w+KNvrGKHz1chotKO8u4QQQrQnEgASQgghhBDiCJHstPDBiIgDuo2/9LTzy/iYsCN5CSGOHvU5gNrb62gmASAhhBBCCCGOIGd3sPPqkP0fBNKAC7OsPNQvgljr0X2TJIQQ7ZEEgIQQQgghhDjCXN7Jzj/7OfZrmRPSrUwbHLlfyxRCCHH4kACQEEIIIYQQR6C7ejiItvz2ciwavDs8go9OiCLCIi1/hBCivZIAkBBCCCGEEEcgTdP4+eTflhQ62aaxYEw052bKaF9CCNHeSQBICCGEEEKII1TXaAvzRkVhb0PDHSswNMHgxUFO8n8Xy/DE/dCMSAjR7qh2+jqaydVeCCGEEEKII9ioFCvbzozlxc1unv7VTbEn/C2OXYOPT4hkfJrtINdQCCHE4UACQEIIIYQQQhzhUhw69/d2cn9vJ7nVfl7b6ubHEj8lHkVOpMGYFAsXZtkkx48QQhzFJAAkhBBCCCFEO9Ip0uD+3vt/mHghhBBHNgkACSGEEEIIIYQQIoRCQ2ntq9Wgon3tT1tJEmghhBBCCCGEEEKIdk4CQEIIIYQQQgghhBDtnASAhBBCCCGEEEIIIdo5yQEkhBBCCCHEYazKp/CaijirhtbO8nEIIQ5fqu7VnrS3/WkrCQAJIYQQQghxGPos38sja2v5rtgPQJZT47ZuDm7vZseqSyBICCFE20gXMCGEEEIIIQ4zz/7q4sxvq1hUF/wB2F6r+PMvtZz1XRVe82h/ji2EEKKtJAAkhBBCCCHEYWJNhZ8JCyu4bXktAGb9DKVAKZRSfJ7v5eUtnkNWRyGEEEcmCQAJIYQQQghxGHgt102fLyv4dNeeVj+oBi19NC3wAu76uYqCWj9CCCFEa0kOICGEEEIIIQ6xLVU+rlhS03RGfdLnhsmfNQ0XGmmfVnBPDzt3dHeQ6pDnukKI/UtpGqqdJZ5vb/vTVvJNIYQQQgghxCF21wpX4B+qbbl9Hl3vpsMn5by/Q7qECSGEaJkEgIQQQgjRrpk+P67CSrwVtYe6KkKE9Wqumw931gVw9uHptB84d1E1y0t9+7diQggh2hXpAiaEEEKIdslX42HzjEXkfbAcb40HpWlEx9hwer14fAp/TAQJp/Qh++qhh7qq4ii2vNTHleG6fu2DCd9WsmxcDEkOY7+UJ4QQon2RAJAQQggh2p3S7zax/s/v4nf7cChFak0tVp+fikonuyMjULoGxTVUvrmErf9bAnd2o3rKh0RdfiKWHmmHuvriKHLpD9WBbl/7IS/FDhckf1JB3xidd4dH0iNGfuoLIfad0gKv9qS97U9bybeCEEIIIdoNb0EFa295k115lYAODjsoRYXDjqYIBH4aqU8I+eO3W0n4bC2dbxlD4qQTD3LNxdGo2G2yptLc+4JttKrCpN9Xlfx8cjR948L/3FdK4TLBoYN2lCdFFUKIo4UEgIQQQgjRLvgKK1kx8XlKNEuTEZMAFKHJdZ0eD2nlVVgMxS90xeHzUxLhpGTaYvonRJF2zjEtbs/v9mF6fFgi7WhhAktC7M2SYm/gHwcgAONVMHROJUtOjqJ3rBW/Ury/w8vTv7pYVuanpsEI8glWjXt72bmjmwOLvJeFEKLdkgCQEEIIIY5onrIaqnKLWf/AJ1Rqlua709RPU4ruBUVkllVgAt66fCmDc7ezyxnFxuQEfnlyDpH9M4nOScbv8uKr9WCNdqJbdMpW5bF66vdULc1FU1DrsKGlxtLBqeG0W7DHRVCzLh+z2o0jJ5mks44hr182/8/efcfHVZ0JH/+dW6aPerUtuXcbm95rTAklEEgIoROTtgvZhEDqmwTSWMiyIYENIYsxhEAgQCCEsPRuY0wxGOPem6wujabfct4/7mgkWSPZBoNt+Xw/H4E1c8u5947Hc595nuf85YNOFq7tgniaA5qaOVPGmXnmFCqOHa8CSPup/1ye+US3n3Rh6rNxphVBTUDn+San4HJtluS6xWl+siTNseWCbRlB3Ia6kOD6qUFOqDRUlpCiKMoQoAJAiqIoiqLsM6SUND+2iM2Pvks6nsURkGpLgdsru2ewG1UpGdPcyvCOGFldo6G4iI6SIADbiouoberA1jRW1FTy6uV/JmBZBC0bn+OSDfoIHDOe5gXrcBHouV0G01lY30SblJiOiwB8lo0pJdnGLjrnr+WDYVU8ftoJOLoOoTBb6oM867h8979eYdTPnqS4vpTakaX4on4ix08keNhodcM9xEkpeb3VBkm/16yQEs11kULgatrH7hG0JAZLYk73jnM76b+9tAvPNUvIZcutS8JJr8SZEBE8fnSE8RFdZQgpyn5FIBlqf+eH2vHsGhUAUhRFURRln5BY1cibs+/D/hgtU3THpa49Rms4xJLh1bhCIH0aAKuqylkfLWbitmZ+cO5pHLVmI99/+mVGtXXk149t2kamuoKuYKDvhoVAAlnDyybKmAa64xLKZDGkZObmbdz213+Q9PvQpKShuIjKWJyIZeEA7WtbaV/TQihrEb7vTYzyMBMeuBL/sNKPfKyu5YAr0fzq497eaE3cwUH0vReREt11MaRXsCilBCm9INDuMEjwZzAr45Ipz3QR1ODSUT5+NS1AmU9TQUpFUZR9jPpEoCiKoijKXs9OZph/xX3eDfHHuOksS6VImwYfDK/xZgIRomd7QmDrGitqK/n3l+Zz5etv91s/ms5w8MYtvFs/nFiBIFBvjiboCgUoiSeZ2NiMLiUu3v2+AFwh2FRaTMo0sTWNpN+Hq2nEQwFkymHh2XdQNXM4w86aQXjWFLSQD/CCAm2LNtG6cD1SSnzFQaLjqwiPKCHdnKBr6VZaXlxObPFWthZHmTdzEptLizGE5AiZ4uLjhlFzxBhVdrYHrY07fObVeMHnpBC4UiKFwO4d+NkdM4V9zPVTLty5Nsuda7P4BYyLahxcojOtWKfY1Di8TEcIWBl3iRiCEyoNArp6nSmKouwtVABIURRFUZQ9zrUcOj7cipu2McM+tj76Lm2vrkJaLr6qCDLow5WSdZXlLBhTR1soRDSd4dANm5nU0MTO5kformRzaXEuClO4T5CtaZywYh1AfrtpQ6cjFEQCRak0ExqbeXtUHabt4HMcbE0jYxr9tmXaDlMam9Cll0Sv93pak5L6tg5WV5SR9JlouawPhEB3XaSUNCxuYMsHDaT/6wUwDTRNoKWyAx9gLsNDCsGTB07l6WkTMW0HDe+QVxLhgQVprnj4SarPP4TnNqZIC43Jw8OcN7EIIbxNlAZ0Xt6QYFlrlhF+yfHVfsbVFxUMGlmOyyPLu9jYmaUyZHDiyDAjikzM/fTG35WSpC0J6gJdE0gp+bDDpjMrGRXRKQ9ofOaVOJuTfZuSdwd4XMA1jI+crfNpyUj4MObyYcwFrILLRAz46ZQg107wq2whRVGUvYAKACmKoiiK8omQUrKlyyZtuwyLmoRMrd/z7e9vZt29C2h/fzNu1kG4kqBlYToOhgRL10hvskj6TP5y5EG8PaoOzXVxNQ3NdXln5HBO/2AFZ36wDCPXB8jRvCCOLHDDGff7yOp6wed66wr60QBL01heU0lzNNznRrw0nmRMUwvFmZ5gTNI02Fpc1Kc8rCbWhe4W7qDQ/ZjUNBxNQwDliSQ1nV2ELe+GOu4z2VxSTJOug2ttN49ZbjuuxG/bICCt6yAEC8bU8/S0ifhtJ7+v4e2dnLJ0JUWpNFtLilg39y1emT4Rqeu82dTO3Pc789vUHYfiVJq2cAiAf25t5Ivvf8i0M6Yw9bLDeKvN4clVcRZuTbKh0+4zrl/Pb0UAh9YG+PVJVYwq9g16rvdFrpRo272GGlMONy+O8+fVKTK5MkVJT7aXxOvtg6mT0At8BO+Vidbn//uwuA3fW5zidytSSCHosiWuhOqA4LBSg+9MDHBIqc6SToeEA+MiGpX+3VTupiiKovSjAkCKoiiKsh+xljeQfmEpMm1hTq4lMGsqwtfzccBtjuEu2Qyahn7wKEQkMMjWBtiHI/nnyhh3L2onuaaZo9dsoKYrTlnU5NAzpzDm7APItCZY9IPHiK9u9laSEt2VlMcTBGwHRwjiAT+WoeMKwdNTJ/D2yBHeGHNlMa4QXLJgEcetXp8vrQIvy0d3HbK61q93SjzgR3cKz4SUJwRuLhPjvbpaugL+fjfj7eEgsaCfCY0tBHLbC1o2Y1vaWFdeSmfIayxdHk/u8Hwl/T4EUNfeSU2sq08wJZy1mNTUQiSTYW1led8sCimp6kpQkkzlM5VSpsEHw6p54oDJmLngj+G6/PCpFznv3SVeeVEuw8jSdY5ZtY5fnPUZEj4f07ZsY3JDEwJYUV3BB8OqOXjjFnTHYeGoOtZUlPO5Nz/kvdgSVkaLBz0mCSxsSDPr/o0cVO3jmPoIK1q9Ga8ChmBDh0Vn1qUuanDE8CAji33URgymV/lpT7s8uy5OLONSV2Ry0qgw/j2YTbSq02bOyiSvbsuyLeXQnpU4EiKG4DPD/TS5Gu+22WQShTOzJOAIgS0Erq7hInZPOdc+ZEsG6PXKXpuQrE1YPLjZQgO623ppwEGlOllXsiHhPVpkeM2pbQn1IZ2vjfHx9bF+9P3o/CnKniKF9zOUDLXj2VUqADSEXX755dx7770AGIZBXV0d5557LjfccAPNzc2MHj264HpvvPEGRxxxBACpVIr//M//5MEHH2T9+vVEo1FOOOEEbrjhBqZOnZpf5/rrr+eGG27ot62JEyeyfPnyQcc5ffp0Dj/8cO66665+z/31r3/l0ksvZfPmzVRXV3PnnXfyhz/8gdWrV2OaJqNHj+aCCy7g+9//fsF9r1u3jnXr1jF8+PAB9//1r3+dP/3pT/z2t7/l29/+9qBjVRRF2Ve5sRTt336AzMvLQc/1vbFdtLIwpb+7CN+UYaT/3yPYTywCJ3c7FvRhXnYM/h+c2SdINJDNMYs73mrl8eUxHFdy1uJlnLxsNY4QXv+bRlh7awOL/vgai0cMY1JDgnJ6yqx8tk3aNHE0QVsknC+Hyuo6L00a2++G+Yh1mzhu9XrotQ3wAkES8Dku6d49frrPBQx6Ay6BonSGpqJI/2bP+Z0InFx20Mi2DkpS6fx+69s7WRIMIIVAk27B7J+0odNQXERLOASaRjSdpibWlR9/72MBGN7ZRWcwSNo0cDWNlKFTnM5QnEyxvKaKroCPuvZOhnV2MaI9RmcwQMB2EMC1z7zCee8u8c6RlOi50iK/4/D5xct4a1QdB27aQn1HDDt3Ts5cLEn4TCxdRwCHr9vM81PG8bfDZvaUJg0mt4yQkncbsyzZ3EjWMPqd83UdFq9uSuV/L/ZrdGVdpARNgCO9x355QhWfHRvZ8X53s7tWJPnuwhhAv+yrdlfwl20uQjqEsz0lUI4msHQvcIkEzXUR0sU2ev0dEvtfEGgg7nZ/fru9b4C20+75c3unw78vSnH90jSvnhBlUpGOoiiKsvNUAGiIO+2005g7dy6WZfHaa69x5ZVXkkgk8gGT559/vk8gB6C8vByATCbDrFmz2LhxI7fccguHH344jY2N3HjjjRx++OE8//zz+UARwNSpU3n++ef7bMswdvwSmz17Nj/96U/5/e9/TygU6vPc3XffzZlnnkl1dTVz5szhmmuu4fe//z3HH388mUyGxYsXs3Tp0n7bfP3110mn03zxi1/knnvu4cc//nHBfT/++OO8+eabDBs2bIfjVBRF2VdJKWn7xr1k31rrPeD0TPPsdiRpveIuiirDyI1tPcEfgFQW686XcNe3EJwze9AeHqvbMlz46CbiGRcXOGLtRk5ethogH3DoDtIUpbMcu3o9Tm573WUyKZ9JCkAE+twcbygvIWOa/fZ58tJVuFCw/093MEZ3Jc522SNS0wa98RZAWTzJ5rLiHd6kG66LFBrtwSA+xyFoWRiuS1EqTWcoSFfATyhr9RljRyCQn4EMIGg7VMbi+fOwvS6fSXsoRCRrEckFGhwBTdEwZ159OVtLerJxjli7gcvnv4MmvW1VdCX40tuLB+yR5AJfe30h53/tQr7w7hKOX7UON9cHyW87+HOvhwO2bOPAzQ08PmMKT8ycMuD56DmJuWub+3+2wPUrpDPT8/pzZM9j33pmG3edWcvx9eGd2s7uMK8xyzW54M/2XAFp0+vTE+oV/EmZBo6u93nduHru7G//WlLBn4+sOSM55qUuVn22iFKfKhlTFEXZWeodc4jz+/3U1NRQV1fHhRdeyEUXXcTjjz+ef768vJyampo+P2buQ9qtt97KG2+8wZNPPsn555/PyJEjOeyww3j00UeZPHkys2fP9mZjyTEMo9+2KioqdjjGSy65hEwmw8MPP9zn8Y0bN/Liiy8ye/ZsAP75z39y/vnnM3v2bMaNG8fUqVP58pe/zC9+8Yt+25wzZw4XXnghl1xyCXfffXefcXbbsmULV111Fffff3/+mBVFUYai7FvryC5Y03NH3ZsrMbM27rqWvsGfblLiPL0Y5/WVg+7jB89vI5F189k1Jy9bXbBfDfQq1ZIy35w4PxtXgf4ndoEpsDXXpb69c4cfZLTcNNq9j2dHN94SuPvoQ7wp3QdbNpcF1P3nrK4TCwSwhcCXKwvbWlzUZ4y2JvhwWC74k/tx8Eq9tt+TrQlWV5TRGon0K2XTJdTGEhy5ZmOfx98aVcd1530Wv+0FJU5cscbrOzMADRjV1kFNLM49Rx/C85PG5gNzvY+9O4h3zvtLmdzQOPA5+QTdsqD1U93fbUsTDFR5ls0FeYK56yaAjKH3eT30owI+u1VrVjJ3/SAN0RVFUZR+VAbQfiYYDGJZhWdq2N4DDzzAySefzIwZM/o8rmka3/nOd7jooot4//33mTlz5scaU3l5OWeffTZz587lsssuyz8+d+5cqqur+exnPwtATU0Nr7zyChs2bGDkyJEDbq+rq4uHH36YN998k0mTJpFIJHj55Zc58cQT88u4rssll1zCdddd1y8DaiCZTIZMJpP/PRbzvhW0LGunz6my7+i+pura7l+G6nXveuo9nLAJdoEAD+DLOtgBvWD2CQC6RupvCwgcMabg0ytaMqxqTmIAhoCSVIqKbAp82oBBoB0JWBa17TE6QwGGJ7oISMvL3MkRQuL6tIHHjBfIkUJQnMmQNXRcoZH29w/4S5/o9X9vH4vGDmdSWzORjDXwjbuU4ApSYRMzV26FlMTMIFbQQPo04r4gq4aVM7qtAxfYVhTFDvQNLFmGQTZoYFg9Z8sRgsW11RRlsgi3cBkZwDcWLOT5GePJGLnjEhJNB02XOJrkg1E1LB5dy9SG5kHOFJTYGfzC4Z+HTOXwzZvzmT/bc4Tg5FWrWTtsx1/w7G5rWlOsaUlQ/zGbSvf++z3Yv+HzGxKYEgp9ReRqAj8uQXrqk2xdwxA76C+l7FZ/35Dk6tE7XwY2VN/jlcHties+VF5jEkHhaQz2XUPteHaVCgDtRxYuXMgDDzzAZz7zmfxjRx11FNp23yp2dnai6zorV67sEzTpbfLkyQCsXLkyHwD64IMPiET61udfcMEFBXv7bO8rX/kKp59+OmvXrmXMmDFIKbnnnnu4/PLL0XXvH/af/exnnHvuuYwaNYoJEyZw5JFHcvrpp/OFL3yhzzE8+OCDjB8/Ph/YueCCC5gzZ06fY7npppswDINvfetbOxxbtxtvvLFgn6Nnn322X+maMnQ899xze3oIyh4w5K77gTocePjH385TTw341M9H9P09PWHsx9pVGujI/dkEbmB1v2U6rp24U9vq2sl9Zr7ZE+C6hHY4ZCTpnVgvsYPn1+Z+BvMG4ws+3rYT+/8dHwz85AjYdMhMNu1gG18kxhfxvthIfWc8qUGWHQn8msH7+31SlsxbzpKPuY10uueqvvjiiwQChfs83bYz1Wa73iNd2Z2Sg74tDWjIvccrO+XTvO7J5I4nAFCUPUEFgIa4J598kkgkgm3bWJbF2WefzW233ZZ/U3rooYfywZxu3QGXwXSXVPXuBzFx4kSeeOKJPstFo9GdGucpp5zCiBEjmDt3Lr/4xS948cUXWb9+PVdccUV+mdraWt544w2WLFnCK6+8wvz587nsssu46667ePrpp/NBoDlz5nDxxRfn17v44os57rjj6OjooKSkhHfeeYff/e53vPvuu4P2s9jeD3/4Q6655pr877FYjLq6Ok455RSKiop2ejvKvsGyLJ577jlOPvlkVSK4Hxmq1z1+x4vE//Ry4RIwIJTJDF5KpQv0k6YSvP3Sgk+/uC7O957b1rO44/KTp14glLULLr8jR6zZgOG6zBs3Kt9DJuEzueP4I2iO9jSHntzQxL+98mbBbXQfqXAcJjc2E7S9saQNg3fqh/fJwJE+QeabY/DfsRaR9UrGhnXEGNnaztJhVXQGg/2zgKREkxLdcbEM799NTUqqY3E6AwGSgQGyVLrLsbbbnmnbHLRpS37K+HfqhgOSyh3MIuYCfzjhSB47cBrRTBrDGThb6JrnXuPiN9/r85itwevjRvO9L5zuHYPrctb7y/jMioFDVl1+k++fd/qg4/okCOCZC+upCn28j6+JRE/I7qSTTqKkpKTgcue90MZbLVbBvzZZQ0e3Hbo/MTmaRso3dN4z9gUCOHuYyb2H7XxfqKH6Hq8Mbk9c9+5KAUXZ26gA0BB34okncscdd2CaJsOGDcu/6a1fvx6Auro6xo0bV3DdCRMmFGywDORn9ho/vucbS5/PN+C2dkTTNC6//HLuuecebrjhBubOnctxxx3XZ/vdpk2bxrRp0/j3f/93Xn/9dY499lheeeUVTjzxRJYuXcqbb77JW2+91WdmMMdx+Otf/8o3v/lNXnvtNZqamqivr+/z/He/+11uvfXW/LnZnt/vx+/393vcNE31IWIIU9d3/zTUrnv0vMNI/e6FAWdvko5At23EIPVagc8fOuA5OWpkEWgtZLrvlDWd1+pHccrSlbvcbFBzXSJdaRqLo2B5yecAkWyGq56Zx+vjRzFv7Eg6g0HWFJfyflUVMzdvyzdQzgd+ACFdDtq4FU32JHxHcKhoj9MaDvUKwnijFFmJyDhE0ll8aYdAyuLANVtZVlNJczSMLiWG2zO7VTidJWRZWLpGczSMrWm0+QJkhY7IFi6hgu6m131Pto3G0vIqpm3dhum4ZKWG4bjomYG3A6ADW0NRLFfg2oIsA3yJIyV/OvxQLnntnfwx2JogFQhw80nHkZG59YROtCs94PgdIVgyorpn+U+JLuCYuhDDi4Mfe1u9X8eD/V3/6pRiXn6lo+Bzrg1ZYaLnXluuCym5g55Rym535fjwR3qvHmrv8crO+TSvu3p9KXsr1QR6iAuHw4wbN46RI0fu8hvRBRdcwPPPP8/777/f53HXdfntb3/LlClT+vUH+jiuuOIKNm/ezN///nf+/ve/55s/D2bKFG8mku5v8+bMmcNxxx3H+++/z3vvvZf/+d73vsecOXMAr+n04sWL+zw/bNgwrrvuOp555pnddjyKoih7C2N4KdHvef3U+qWH6BruuGq06mLQC3ws0AXaIaMxZg3cLy3q17l0RkmfTT87dTyrq8rpmW/Ms/3v26uKxdHxAg3bB6yCts3Jy1Zz/ZMv8NuHn+RX/3iWiY0tpA0dR/OaKbsCLE0jbeiMbG1HyP7V/hMaW4hkcs1jt9uH4bqUJb0CqKyuo0nJqNYOgpaDmcuu6d5eIuCjMxjAcFyqO+NoUnrNgT9iECAe8PPmqDr+eMxhSMAydDL6wH2UJNAZ8DN/7EhMxxm835IQtEbDrKyuBLxz9H9TJ3L+1y9iS2nPLGJ+y2bmpq0Fg4USL/D13JTC5WqfFF1A0BD88KhPt+/QmXV+rprslXhvf0W7m5f3DiEarjtgkFXZ/b42xseJleq7bEX5JEkxNH/2Z+pdcz/X2trKtm3b+jxWUlJCIBDgO9/5Dv/4xz8466yz+kwD/+tf/5ply5bx/PPP9ymhsm2737aEEFRXV+/UWEaPHs1JJ53E1772NUzT5Atf+EKf57/5zW8ybNgwTjrpJEaMGEFDQwO//OUvqays5Mgjj8SyLO677z5+/vOfM23atD7rXnnlldx88828//77zJgxIz/VfTfTNKmpqWHixJ3rJ6EoirKviX79RPSaErpuew5nrdcQWARNgl84lKLvngaxFKmr/oy7sFfpjxAYp88k8F8XIIzBMz6+fUQFHWmHh5fG0AVIQ+fO44/k8LUbOGPxcvy2Tdo0WV9eyuRtTUDPzFK9Devw0uajmeyOAym5Gb2kEFi6Tu/kF911qYwnC5ZDma7LzE1baY6GWV9eStqfK+FyHMq7Evl1OoMBKrsSrKit9D4wFpjCO2vopHwmoaxFNJ2lM7TjpjCFxtSdwfTkAZP51wGT+eLbizlh5VrawyGqC0wR3/37b2cdg2Xo6INkHPX25LSJ/ODzp9FYFKEr2H+s57+9mFDWwtG0PtlU3TODzT36EDaUl+54R7lrI6TMl+xtz6eBK8Hu9TKI+jRCpqAx4eT3ffSIID86upJxZR+v+fOuEkLwq4OjnFDr587lCd5ozJJ2e8ardx9bbpx+y8bxmT2BOJUN9ImoCwp+ODnIN8b4dqmUX1EURVEBoP3erFmz+j3217/+lQsuuIBAIMCLL77IjTfeyI9+9CM2bNhANBrlxBNPZMGCBf2CLB9++CG1tbV9HvP7/X2aLe7I7NmzeeGFF/ja177Wr7HyrFmzuPvuu7njjjtobW2loqKCI488khdeeIHy8nIeffRRWltb+fznP99vu+PHj2f69OnMmTOH3//+9zs9HkVRlKEkdPaBBD83E2dTGzJtoY8oQwvlbqqLgoQf/zbOsq04765HGDr60ePRRpTt1LZ1TfCLk2q4bGYp/1geoznpUBU2OOfSMdSuGMeaXz/FI6U1PDl9EmWJJCcvXcX0LdvQAEsTGLneN52hAOXJFMWpNJF0hrjfV/hGWkqEK5EDzNNtOM6g83xoQGVXAlvTWR32smJcTaOxpIhQJktZPMnW4iJShkHWGOTjkhAkfT6CWYtwZucCQAOJ+3w8NW0SAC9MHscJK9eSMQ0aiyKUJZL4es3M5WiCf02byPOTx4GUuKJwYKk3w3GY3tBISTrDA4fN6BMAiqQznPX+Ug5bt4mkz4dEoksvkOYKeGniWJ6bPJbmogK9/XLBnj6E4MSuVmbPf4eFo+p4ZMI4mnUTUxNMq/Lzo6MqmFYVwHIk8zYnaUo4VId1jhoRwtBgdbtFZ8ZheNSkNrLnPq4KIThluJ9ThveUgMeyLu1Zl8qAznutWb42r5ONCS87LJS1sHSdrKH3Py8D9H/a3/g1yLh9Sza7mQKmFWtcPyVAzJI822gT0AVXjPJRH/ZmKqwNCBX4URRF+YiElCpXVVE+ilgsRnFxMZ2dnaoJ9BBkWRZPPfUUp59+uqrj3o+o6/7Jko5L5/JGHlqT4N5tLh1pF9NxyRg6ExuauPzdxYxsamXm+i0IIO73sXDUCFxNyzeD9jbkNWCOJtN0RgrPwqi7Lkeu2TBorbsE1peXsrGmjPR/jCXwuzVe7xspCVi21+jXlV5pzw5uOMtymUOby4oHXW5HfnjOqXQGAxSl09z42DM9QR3Xxee46NLFZ9mEslmk0EibBu/Uj6AtFOTRg6cRD/hxtf5HLVzJsavXcfHC95B4zaPXVpTRNaKC2poI1U+/663XO2ghJa4Q/OnYw1hcN6zwgKWkMpWiLRSiewL0g2sC/OjocmZUf/x+PZ+ERCKRn7W0vb19wCbQu2Jpu8XD69M0pF2ihsBAsiopeTMm2Zz7HkxImSs92D+DFzdN83PdpCBCCLKuxBCwLuHydruDKeD4SoNy/yfbnUK9x++f9sR139fvE7rH/9aEa4no/Xug7sviToZDV/7XPnttPi6VAaQoiqIoyqdC6BolU2v5+lSY7Ure25YinnWpC2qMKhmD7j8WKSXy4YXIb95NOJPlyLWbWFdRSkNxFFfTEK4kYNuUx5MIKekMF5ihC29WppZImIp4YtAgUGM0UmCggnRuRidNOkghduqW3S4QeNlVjqYhgONXruvZp5SEsxZliRRV8Xi+RMvWNdxwgOrmBlrjWYbFYvz3yceSMYyeIFCv7/kk0BIMUlMVZMSpUzn0sFEUT65BCEHy4hms+9NrNC5Yh21LMobOkuE1PHvoNKZOruCnM4pZuDXNosY02YxDfSrJJNPl8FERRh48jnjWpSXlUBLQKQ18ug2i9wZTSk1+Vlr4xtKREkeCTxNsS7v8aW2GBzdmWNElcQtlT+0tBhtb7jkTsHIPHV2uc+0EPy+3ONy7PkOn5fVvOqpc579mBDm0rOf8+DRvu2MjOmMj+9/rRVEUZU9RASDlE/faa6/x2c9+dsDn4/H4pzgaRVEUZW9gaIJDhvXP3hFCIM4/HDmjjravzCG4ehtjmtsoSSRpikbQJAQcBxeIFehh09uG8lLKkklwZcEg0KbSYrLmIB+FpMQVGiKf21J4GS330+n/6D1qXGBrcREJ06CurYOTlq9BD5qM+NwMRl14KGZjB9YtTyH/bzEARtiH/+KjMa4+hbLyCCNa40xYvo2pq9t4JBvk+YxJHI2KRJKj1m7k9G1bqDtsFKMeuxKzqH9mTmhMJVP/81x6t/o+C/hhr99n1hTOtgKvEXjUr27kC9GFoLtSsSag8dMpQX46Jcgvl6b4yZLUnh3cYAYrXxOCS+pN/nRIiJgFfl1QbHrPnTMCbp058GtFUZR9h8z12RtKhtrx7CoVAFI+cYcccgjvvffenh6GoiiKsg8RE4dRPu8nAMTe24S+qRXtiQ+Iv7eRjOXQGQp4H+IG+SCX8pm8N2IYExpbKMpk8o/bmmBjaQmbS3dQriUELhKXvjM+bb9MKJ0ha+jEA4MEgHaQ6aEBr0way+WTo/zHMWMJ/79D+vY5KQ/jn/NVZNaGRAaKgohes7bp5REiR4/jsKPhsH5bnzn4cSp7xOzRfn7y4V4cAOot91oManD2cJPvTfRzYC7jaT9M+FIURdlnqQCQ8okLBoOMGzduTw9DURRF2UcVzayjaGYdNWfNJNMSp+XNdYi584lt7czPTgUUbLKb9Pt4r34YoUw2Vzol6AwGCvbJ6ScXtMkYOn4711S6O5CT+38gk8XSNTpDQcZ+9WhGX3Q4iY2tvP///klyU3vPtnpPa18gEKRPHcb/3nwSvgGaWuc34zPApz6+DQW1QY3JEY1lXTvuMbUn+TS4uN7Hz6cFGR78ZHv0KIqiKJ8s9QlCURRFUZR9hr8iwvAzpjP8jOm4WZvWV1eRbomjv72W5meXFu7pgxcISu5siVYuuFN51FhGnDuTxPpWWt/ZQHZzB3ZjDCeVRSCQQFdFlMrjJzLlosOIjKkAIDq2iqMf+Aodi7fQ9s5GXNvBCPvJdqSw4mk6Fm0m09wFAkIjSpn47ZMom1m3m86Qsi958YQotf/s3GGG2O4wISLQhGB5l1vweQEYwpulqzYAU4sNzhnu4/w6H8EdBCYVRVGUfYMKACmKoiiKsk/SfAaVsyZ7v1xwKFUtXaT/7a90bun0HhMC4TjI7myfnb3BFoIxlx/JuCuPBqDyyDGM+vKhuzQ2IQSlM0ZQOmPELq2n7F9qgjpHlRvMbxukz9RHoOMFcqSAmSU63x7n5/x6P1JKHt6c5RdL06yKe4Gg8RGN/zkwxHFValYsRVH6krmfoWSoHc+uUgEgRVEURVGGBKMiyqEPXMmG3z7H1ofeJunzMbyzi9rOLtZVlNISCfeZ4hzoW5qVU3v6tHzwR1E+aZeN9jO/Lblbt/nbmUGuHt+/SboQgvPr/JxfN7SmdVYURVF2jgoAKYqiKIoyZGiGxujrTqXq2HE0f/PPlLd3IoFxzW2Mbm2ny+fD0nWSPpP2cJCsYeAI7+NQ0ZRqJlx2NOWHjtqjx6DsX744wuQb7+yeb6V1ASWm4NJRKsCjKIqi9KcCQIqiKIqiDDnhI8YSXnQD8Q2ttD77IZEn3sG3aD2laW82MDulUTy2gqq7voJeGuCpp57ikN+ej2mqMhjl01Xq0ziqXGde68cvAysxBc8eF8lPya4oiqIovakAkKIoiqIoQ1ZkZDmRrx4HXz0Ot6ULd+lW8OnoM0dSGvCCPZZl7eFRKvu72w8MceDzXR95fUPArTODXDbKT8RQwR9FUXYPKQRyL56l8KMYasezq1QASFEURVGU/YJWEUU7buKeHoai9DOz1ODQUp232nc9C0gAW88qptKvpmhXFEVRBqf+pVAURVEURVGUPeyOg4Ifab3vTfSr4I+iKIqyU9S/FoqiKIqiKIqyhx1cZnJGza4l51f6BN+Z0H+2L0VRFEUpRAWAFEVRFEVRFGUv8OCRET43bOcakVf5Ba+eGKU6oD7OK4ryyZBD9Gd/pv7FUBRFURRFUZS9QMQQ/OPoCB+cUsSsqoGzgT43zKDhzCImFemf4ugURVGUfZ1qAq0oiqIoiqIoe5FpxTrPHR/lw06HW1ameanJQgIHlxrcdECQcREV+FEURVF2nQoAKYqiKIqiKMpeaGqxzt2Hhvf0MBRFUZQhQpWAKYqiKIqiKIqiKIqiDHEqA0hRFEVRFEVRFEVRlD6kEEgh9vQwdquhdjy7SmUAKYqiKIqiKIqiKIqiDHEqAKQoiqIoiqIoiqIoijLEqQCQoiiKoiiKoiiKoijKEKd6ACmKoiiKouxjrLYEyQ+3goDw9BEYxcE9PSRFURRliFE9gIYeFQBSFEVRFEXZRzjxDBtvfpo1L61iaVUFAcsmks0yenQJh918HnrUv6eHqCiKoijKXkoFgBRFURRFUfYBr8/bxFN/WUSL7mN8bRWnL1mJ33FxNEF6SyNvn/gbxt5wNhVnTO+zXueGNpLNcfwlQUrHViD2828/FUVRFGV/pQJAiqIoiqIoe7F4V4abf/kqmdYEUkrOWLOWw9ZvRpMSidfQ0dYE7XaAzT98FDPsI3LsBFYtWM9bd7zOVltjXUUZCZ8PP5JjZlRy3hemEA2be/rQFEVRFEX5FKkAkKIoiqIoyl5q/dY4v//FyxiWjQCOXrOBI9dtyj/fncuju5KKZIotRREWf/8xHps+ieNWraM6azHasjhow2aW1Vbzxph6/u/Ddl5bMZ9fXnMotRUh5OpG3GcWQ9pCTB2BmDUVYeh74GgVRVGUvYnM/QwlQ+14dpUKACmKoiiKouyF4kmL3/3XPHyWDUAga3HY+s0DLt8R9NMVDGAJwRlLVlAT68KUPR91R3bEOGnFGp44YDKLRwzjVzfN578bV2M9u4R4wE9W94I+Pg2Kzj+MwIVHwJThqmRMURRFUYYIFQBSFEVRFEXZy9ixFIu+8yjD49AcCYMQjG9qRZP9v7tMGzqLh9fQFQwgcmVhCEEsGGBsSxsB284va7ouX3jvQ3QpeXfkCOYtb2d0NAL0ZBOlgNTf3qbx/5aTKAox4uTJjPr3E/CVqJnGFEVRFGVfpgJAiqIoiqIoexEnZbHiyj8TXNVEfNpEyGXgBCwLSU+gBsAWgnfqh5M2vY90vae3TZsGK6ormNrQhOG6kFtXAqcuWc6GshI6wyFke2f+cZH7cQFLE2z1B2l/YSUfvrqWYT8+g0OPGYmmqYyg3UFKySObs/xtYxbHcTm+yuTJRoeXmmwcwBBwRo3B7w4MMTKsSvIURVGUj08FgBRFURRFUfYinbc8TfjdteimSTibJeUzvYyegB9tu2W3FUe94E+hMi0hsDWN5kiI2lgcCaRMk45ggDWV5Uzf2sjMzQ3eotutKoUgmrV4bfwoQDCytY2m3zzHP9+Yyg+uPpRISDWQ/iiklMxvdbhvQ4a5a1LYrgDhBd8e2+b0uY62hH802PyzIcbrJ0Y4skKdc0VRFOXjUQEgRVEURVGUPURKiZW2EK5ED/pou+VpVj/2PomqCoSUjGluY2txEcWpNG3BAGldx+84+YDNtqLI4NsXgi0lxZTFk7RGIziahgvUt3UwrDMG9A/+AOhSUpJKM6mxmWW11ayrLCdtGIx6/UN+owluuO7I3Xoe9geruhy+8EacxR0OhuOiAToSZC4zS7oEbBvDcZECMoZBxtBxNY3jXo4TO6eYoLF9CFBRFOWTI0XfzNKhQA6tw9llKgCkKIqiKIryCYuvayG2dBtCF5QeXI+vLMyqO15F3P0yNQ2taECXz2RdRTkpnw+ArcVFzB9bT2skzNbSYgCWDavmkjcXMXlbM1IILF0vnP2TI/B6BG2oKCOQm0lMA5CScNYqGPzp5ggY39TK8tpqbzylxYzoiGG8v5Hbr2vnlM9PYcJRo3bD2Rn63m61OOblOBnH6+Fkaxq6dNFywR/DcShJpdBkrhRPSiJZCyElmuvSGQpS+0/JrQeGOaPK4J2mNALBsCKTrWmXTMYLGr3U7rIy7lJkCr44wsfnhpmYqmRPURRFyVEBIEVRFEVRlE9IujHGhz//Fx2LNpPOZXQEbZtQ2GTG+6vQpMyXdbmaRjzgx9EEjdEIT0+d0C+4Ew/4ueP4I5jQ2ELItqnqjBHKWgMGgVzAFSIf/OltR2EBIenTO0gDNpcVMaa5nZasxWs3Pse2M6Zy3DeO2sWzsn95cmuWs+YlvF/y10niaDqu6+KzHUqSqfz1EL2Wk4CjaVR0JYhnLb71coqfZi0yukZHMEDW6Pko77NtopkMKdNHJuDjoU0W04o0nj8+SnVAZQ4piqIoKgCkKIqiKIryibA6U7z99QfYnHZ5e+oENpUWgxAIVzKmpZVMZ5oj120EIGmavFM/nITfhxSC18eN8tLutw/sCAFSsq6ijCnbmogFA4Qsu8DePRrgs53+TwhBVtcxe5WTFbKtKIqQklA2iyYlGd3Ab9uM6OhEk5Jtf1/Ec/NWcdzNZ+OvLQHAtR02vb6WNf+3lERTnEBpkOqjxlA6tZbiqghF5eFdO5H7sC7L5Zz5if5PdAd4NI2Alck33y64nJQ4mkZRJkvC72Nz1JsVTmpaz+tDSrKGQWt3RpgrQQiWxlw+Ny/OgpOiiCFWxqEoiqLsOhUAUhRFURRF+QRsenQR67Pwr+mTkYheN/2CNZXlrC8voyMY4Mi1G5g/bhRuLuDTGQzQFQwMvGEhsAyduN+HkJK4z0c4m+3fyBlojEaojsULBhc6ggEq4wWCE7l1XSFYX17ChMZm9F7Tz3eEghSnUmi5rbZv6+KlL81h5EkTeD1SzPK1MTISQpZLVcLF6OpiUcNSeHQpALWjSjn5q4dTM6ZsJ8/kvmlT0uX0V7tw5CALSUnQGrwUD8DRBCnDRHddNASOvt2sYLlAEd1BQylBSlwhWNjm8FqzzXFVhZtIxyxvNrL3OhyWdNqUmIIpxQbfn+gnaqrMIUXZn8ncz1Ay1I5nV6kAkKIoiqIoyseUTNm8t7KNdMZhWFWI6hIfK//2Li9NnJAP7PQhBI4G/zpgMu3hINFMTwAn6du52Z66/D5cIUiZBjWxOEWpdD5Qk9U11laUs6K6gqPWbqQynug3g1gs4CeUzRLOWt6Qco87QqBJyZMHTKYkle4XnMgaOq2RMGXxJB2hIM3RMLYQvLUqzrLaME4kgua6xByXbUVRTNshkrWQwstGSm+Kcd+Pn+acq49k/FGjd/oc70ve77A57qUuYlbuVmOg7Bshdhj8QQiymnf1dFfi6AMEZXoFfnpnBiHgircS3HZgiKBj8/6WFJYrmV7lZ1HW4KdL09iu9BpR57bz2FabXy1L87lag8ePjqjsIUVRlCFCBYAURVEURVE+gmTC4l//t5L5KzpoiFlUxeLUt3XwnitpDwYoD0WIB/wDb0AI0j4TTco+QQC/PXBJV29NRdH8nzeWlTK8vQNb12gLh4n7fbi5oMGy2iqmNjQV3P+2oihF6QzVsS6kpuEIwerKchaOGkG0QFZR93ousKmshITPh+G6mICtG1R2JUj4TUy37zFlDR1XCDKGQVcwQEkiyRO3zWfi6naMoI8xkyoYN7UabQg0LHal5Nz5CeJZF03K/HUYiKVraPbApXgS8oG9lsEyw6AnCLTd72uTkjPmJbyMo6xNwLZJrnPRXZeaZJqQ5QUBk6ZBRzBAymfiaBpPNNj4H+3g1RPCHFHh28kzoCiKouytVABIURRFURRlAFJK4h9uJbm6GT1gEj24no4VTSz4vxXM35ZhfXkpAcvirKWrqemK4wqQCHQpsTXBltJiNpWXDjqNbtzvI5LLwgEoS6QIpTMM74xRHYtjaxqrqypoifbqndM7ywNImQZrqiooSSaJBfz55zTXxRWCFyeMzvcDGtYRY0RHDN11EUAom6WuvZOkafL7k45ifWU5VbEuIgMFgACEIGDb+T5FLt7MVtF0Bo2+WUwiF5DQciVJAB3hEIbr8sz8LZQlU2y5t5N3hUv1oaMYfd4M6jc3Id7bQELoxA8bT/TQkYTDezYAIaVk0bY0c9/vYFlblkzWpSKoUxMxmDU2wjkTIuiaxiMbMqzvsvE5Dram4e5guwmfj4CdGvD57swcKcDWtYGzifIrFO4b1V0elvKZpHwmJckUVfEkErA1QWs4RNb0bg18rot0XZzcTHNHvpTgqyMz/PKAMFW9GkpnHMl7HY6XUVRi4Negw5KUmIKAvu8H8xRFUYYaFQDaTwkheOyxxzjnnHP29FAURVEUZa+T7kyx+i8L2fKP95HJLKbjIqRLxjSRQpDxmfiH1yCk5PQlKylLJAHQJHR3GNBdycnL1/DG6DoaSopoDwUL3ry3h0LUdPX04glls3zjtTcJ2A6OEAgpOWnlWlZVlvPEjClkTKPgTb6Uko5gKP+c7rgM7+jEcF1cTUMCKVOwprKMrSVRZmxsIGxZBLIWLeEQ5Ykk33v2VT4YXsNr40YNXGrUvcvt/uwKQUtRBCklhusiETiCnuCXlAgpkUIggbZwiDPeX0ZVItkTOHu8mUUvLuePY+qIB/xYugab1yIeXcP0iWWc/fnJjBge7TMOKSXxlgRSQrQyPGC5UqIrQ8N9CzD+9Wb+sWt/8To6AYLJNKGsxUS/y+dmjaTk8wezqsPi3cYMQsAhVX6+8Uobi1uyhCwL0/HCOo1xmw+bM7y4LsENrzRz5cGl/HR5Fl8u68dwXWxN6xew6y1t6KQMnYDteMGyPuVbIn9+nUKlhDtJcyVud0BGCEzboTLuvWZdIWiKRnC2y74SeJlHwnHI6jr/u8Hmfzd0ckaNzncn+LnugzTvtBcObxnAgaUaJ1ebnF5j0pRx+dPaLG+0etlttUGNiCEo9wmqAgJTQMjQOKXa4PRaE12VnCnKXkEKMegXGPuioXY8u0p1dhuimpqa+PrXv059fT1+v5+amhpOPfVU3njjjU9sn5dffjlCCIQQmKbJmDFjuPbaa0kkCjeY7PbOO+8ghOD1118v+Pypp57K5z73OWDXjmv+/Pnous5pp5026P5bW1sZMWIEQgg6Ojp27mAVRVGUIclKZllwyws8dd5dbH7wbcqb2hnd2k5dRycjOrsY3tFJSzjI4wdOY0V1JXXtnVQkkgU/UAm87JfRre1emVVXvG95DoCUtEZC+cd9ls3I1g78uZm79F7TxI9tbuWL7yzuv438DgWy1018ZVccI5flI3otgxCkTZO1VWUELIvG4iirqyt4t34YadNg2tZGxja35DN3BrL9sy3RMNFUmppYnKquBNVdcariCYLd2U253kKmbWM6Dq4QvFdXC3iBM11Klgyr5ukDJtEeDmEZPYEuKQSLV7Rx43+9wbr1HYA329i8W1/mkTPv5Nkvz+W5C+fywOf+lxd+/xqO3ROYsG2XR/7yPlsO+zkjf/ogD5kl+efSLiSFRnM4xPqyEn4+dQYHNJdx4m1L+czDW7nu1VaufaWVEx7eytKmNAHLxuf0nNPe5zaTdbh9QSt2rqSv+8d0crOwFbj2wnWReA25u/w+nF7lYkJCV69MKs2VA1/7HXC3C+YVp9L5P8f9Pi/4U+CmqDsIpPXa77+2OZz0anLA4A+ADbzV7vLr5RmOeTnOuW8kebrRptOGThuWd7m83e7wTKPNfRss7l5v8cfVGT43L8Hkp2OsiReYuU5RFGUP+sMf/sDo0aMJBAIcfPDBvPbaa4Muf//99zNjxgxCoRC1tbVcccUVtLa2fkqjHZgKAA1R5513Hu+//z733nsvK1eu5IknnuCEE06gra3tE93vaaedRkNDA2vXruWXv/wlf/jDH7j22msHXefggw9mxowZzJ07t99zmzZt4vnnn2f27NnArh3X3XffzdVXX83rr7/Oxo0bB9z/7NmzOeCAA3bxSBVFUZShxsnavPiDJ9j89DJCmSz1re19mjMDZAyDZ6ZOzGdjjGlpG7TERwNqYnGElAQtm7q2Dka2tjOirYOSZApNSrq6+wRJSUU8MeCU4BpQ397JyLaOQY9jeFsnPssiPMjsUjKX9ZE2zZ4AhmHwTv1wbjr5WNpC4UGzTSQ9GSmOEGwpilCSTBHOWn0+XOqupDSVJpLJ5sqYBEXpDCWpNKXJFI1FEToDPtZUlPLU1PG8OabeW7HQvoXAciQ337qQNWtaeerfHqbhyQ8QmZ7yOX8qQ8cT7/Hwtx/DsV2klNx17/vU/fc/GdPcyvOTx/Fe/bB+m9bwgnUzN2/B0XRWB/pPVe9lLzHw9c41dC5Npvs8bEiJz3G8IEp3IEVKQpksxckUQnizesVCQRqKo2wtitAZ8JMxdNJmT7K+BoSy1kcLAm23jt+289c94Td3eK11t9dRf8Qg1I50d75al3A56ZUukvb+PlePoih7i4ceeohvf/vb/PjHP2bRokUce+yxfPaznx3wHvP111/n0ksvZfbs2Xz44Yc8/PDDvPXWW1x55ZWf8sj7UwGgIaijo4PXX3+dm266iRNPPJGRI0dy2GGH8cMf/pAzzjij4DoffPABJ510EsFgkPLycr72ta8Rj8fzz9u2zbe+9S1KSkooLy/n+9//Ppdddlm/ErLurJy6ujouvPBCLrroIh5//PEdjnn27Nn87W9/65ctdM8991BZWckZZ5yxS8eVSCT429/+xje/+U3OPPNM7rnnnoL7veOOO+jo6NhhkEpRFEUZ+ja8vJq2FU2YtkNFV9wrf9lumbdHjsARPX1YzFw2yGC6G/hKQMcL7hhSUpxKM6wzRiBrM66phfKuBMXpzKDbc4RgSkPjoPs7at0GTlqxZgejAoSgI9TTVFjDK1mq7Yrjt22KE6mC0+V2P2YZBk5uqnjTlQXPRffvRemMF0ToFTzQpKQoa/H62FF8MLyGlkhkh8EFAbiu5J5fvUx6bXO/YFn3n43lW1n4jyWsWdvBujc2cPCGzQgJz0yZMOC2NaAlEsn3Ruq3byGQmoY7SKNqiZdRsz1dSvyOQ8C28VsWPtvB1nWSgUD+3Om5TCFX1+kKBmgqjpIxTaxc+R5AUSrtZWZ9zCBM76mdd9SkujuTreeBT7Z8wpawMSn566bsJ7ofRVGUnfXf//3fzJ49myuvvJLJkydz6623UldXxx133FFw+QULFjBq1Ci+9a1vMXr0aI455hi+/vWv8/bbb3/KI+9PBYCGoEgkQiQS4fHHHyeTyexw+WQyyWmnnUZpaSlvvfUWDz/8MM8//zxXXXVVfpmbbrqJ+++/n7lz5zJv3jxisdhOBXaCwSCWZe1wuYsuugjLsnj44Yfzj0kpueeee7jsssswDGOXjuuhhx5i4sSJTJw4kYsvvpi5c+cit/uwtHTpUn7+85/z5z//GW0HH34URVGUoW/ds8sBiek4/TJ/uq2pLO9TZtURDBQMknTz+u4YPdN9S4mWy6YQeBkyExubGdYZZ3pD0w6DSUJKAtYAs4RJSXk8QUkynS8h6w5INBRF2VxSxLZohKRp5sdcqMxrWEeM8nicd+uG0RoK9ct4cYUgbRhIIWgLB8kYBtEd/LssgXDWC3x0H2N3c2Pb0EGI/P93RnYnllv12GLeWLiFSY3NaEDC76M1Onhm07ai6IDPeQcivZ4+AxB4ZXyDBWnyj/Yah8ArgzMct996nbkMMYkXOKzsirPLtjvmeMCfvw7bB+YKjffT7pkhgEc3qwCQoih7Xjab5Z133uGUU07p8/gpp5zC/PnzC65z1FFHsXnzZp566imklDQ2NvLII48MmIzxaVJNoIcgwzC45557+OpXv8of//hHDjroII4//nguuOCCgqVO999/P6lUij//+c+Ew17K8+23385ZZ53FTTfdRHV1Nbfddhs//OEP+fznP59//qmnnhp0HAsXLuSBBx7gM5/5zA7HXFZWxjnnnMPcuXO5/PLLAXj55ZdZu3YtX/nKV3b5uObMmcPFF18MeGVp8XicF154gVmzZgGQyWT48pe/zG9+8xvq6+tZu3btDseYyWT6BJ5isRgAlmXtVJBL2bd0X1N1bfcv6rrvn7qvd7IjDobA0CWuv/BNvmaAoffcLG+qKmFGU+OAQSAJbK4sQTcAKdFdl8pEgqym0xXwo7mSs5avQPo0HABz8IwMV0B7cajPGLwdedlKh2/eDD6NEjuDMGBbcZHXNDrXUNiRkuawj3AmQ3VnF2VWBtfXd38BHN4ZN4KwcLBCJp1GkMp4HEfTvcCPpuUzb7qiAQzh4tPkoF8rSsAnXHzSQev36TPXtFqXhWvfCkiG/Qhz4IUF4MZTxGMpIrrEChg4Pg1Dl0in59wZukT0OpeaAQFtkKI+AcKV+MXAPWqK3Sy+rCRZIBNISomr6QOuKwHHFV6WkciFyPwaCeGjOJ3GdCWaphEcZP/5Y3FdgpYNSDKGga337NcO6GgJr1l3eTblzRw3yMnPaDoGAwQePyGZrNzt78XqPX7/tCeu+1B5jUnh/Qwl3cfTfS/Xze/34/f7+y3f0tKC4zhUV1f3eby6uppt27YV3MdRRx3F/fffz5e+9CXS6TS2bfO5z32O2267bfccxMcg5PZpEcqQkU6nee2113jjjTd4+umnWbhwIXfddVe+WXP3LGDXXHMNixYt4qWXXsqv29nZSUlJCa+88gozZszI//m4447LL3Puuefium4+E+jyyy/nL3/5C4FAANu2sSyLs88+mz/+8Y9UVVXtcLzPPfccp5xyCqtWrWLcuHFccsklrFu3rl9z6MGOC2DFihVMmzaNzZs35/+iXnXVVbS1tfHAAw8AcM0117B161YefPBBwAs2nXjiibS3t1NSUlJwfNdffz033HBDv8cfeOABQqHQDo9PURRFUZQ9L51Oc8EFFwDw4IMPEggEdrCGoijKrkkmk1x44YV0dnZSVFS0p4ezy2KxGMXFxbw8/YdE9KH1Hhl30pzwwY39Hv/Zz37G9ddf3+/xrVu3Mnz4cObPn8+RRx6Zf/xXv/oV9913H8uXL++3ztKlS5k1axbf+c53OPXUU2loaOC6667j0EMPZc6cObv1eHaVygAawgKBACeffDInn3wyP/3pT7nyyiv52c9+lg+UdJNSDjhlau/Ht1+mUOzwxBNP5I477sA0TYYNG4Zpmv2WGcisWbMYOXIk99xzD9/73vf4+9//zu23377LxzVnzhxs22b48OF9xmqaJu3t7ZSWlvLiiy/ywQcf8Mgjj/Q5loqKCn784x8XDPT88Ic/5Jprrsn/HovFqKur45RTTtkn39iVwVmWxXPPPcfJJ5+8S69jZd+mrvv+qfu6j7aG8+G9b2HYDuObW/qUK3XrCAb5w/FH4ApBwLapzk3fXhXrYlRrO5FcQ2JLE2wpKWZ9RamX0ZObSakiHs8nykjg5A9XUZTuKXWRQHs44M0G1evfXYmXn7G0upJlNVUcs3YDW0uKSBs64YxFbWdXnwScroCPRw6aPuhxm7bDFfPfxnD7Zrz0m248929kUTpNVSzOuyOHs7S2GlfTWFldgRSCyq44kXThsrn8eda0PuVzvWV0HQ1J104EYyTgtyyOXrNh0P2JQ0Yz9ZLD+P0d7/DvL85jVGs7i+qGcccRPVnD//dWCKF7X+K4wKbSEjaWlwy6Xd22MV3vnHQvly+pAywhsLqbN+cys1xNQ3ddOvwBsr7BP35LwNK1gqVqIldCmJ8tbLDSLCmpiCfxOz3lgLam0RwN95R0SUkkkyWQtbwsIaNnv93L21rhsXzS5p8YYWrx7r1VUe/x+6c9cd23zy5R9j6bNm3qcw9XKPsHvPtDXdf7Zfs0NTX1ywrqduONN3L00Udz3XXXAXDAAQcQDoc59thj+eUvf0ltbe1uOopdpwJA+5EpU6YU7NszZcoU7r33XhKJRL4EbN68eWiaxoQJEyguLqa6upqFCxdy7LHHAuA4DosWLWLmzJl9thUOhxk3btxHGp8QgiuuuIK77rqLESNGoGka559//i4dl23b/PnPf+aWW27pV6d53nnncf/993PVVVfx6KOPkkql8s+99dZbfOUrX+G1115j7NixBfczUFqgaZrqQ8QQpq7v/kld9/3T2JMns/6fy0g2dtHkDzMy0QH0LYwpzyQ4+60lPHLwAZB1cXJVMQ2hKA3BCH7bm+0pbXo9cnAB1+vtUppIImTf6dODSQvD6lvOU5FJEA/4872DAJKmyerKMjZHiwknszQEI9Q2ddARDiEB1+47U9OWsii2zaA37rYwaAqEGNERyweYXEDbPgCUE9f9lLpJjlyxkYNWb+GNMfWkpcbaynJafCGC8WzBGcy6Gw47OgWn0HKBdr+PykQKn5sl6ffnS9a8Dch+47EdAZbMj3v7/Vm6zgmXH0HNmDKmT6vmvq6D+O4zr3D4qo1s8Jnc33s7uS2kTIMPKisxpER3+zcA7z4OTQgMTWI4Lhp9gz8SSJgmIlfNJlxJ0LbJFfhh+zRScvBeRxKwRP8yMc118TkOLhqOFFjGjj7GS5r9ISoSyZ5HHBAZl2T3zHNIUn6DEieF4UjagsH8lO/uAK+DT5KG93q4fkqAmRXBT2w/6j1+//RpXnf1+tr7FRUV7dSX+D6fj4MPPpjnnnsu3w4FvOqVs88+u+A6yWQSY7v3aD1XhrunC7BUAGgIam1t5Ytf/CJf+cpXOOCAA4hGo7z99tvcfPPNBV+kF110ET/72c+47LLLuP7662lububqq6/mkksuyUc1r776am688UbGjRvHpEmTuO2222hvbx8wc+ijuuKKK/j5z3/Oj370Iy644IJ8QGpnj+vJJ5+kvb2d2bNnU1xc3GfbX/jCF5gzZw5XXXVVvyBPS0sLAJMnTx6wBExRFEUZ2nwhH7Nu+Txv3PQ8Te9vAaCuvTN/Q9ytvr2TMxcvY2ltFU6vvioI4fXb2U5xMkVogCnZu/x+/JbdJ3tHw5s1K5LOYGsaDcVRXp44Jn8z7gKL6ofTEh6X37/hOExpaOKQ9ZsxpNzppr1ubrn2UJD3RtRy7Mq1XgCoECnpCAWJZC0M1+XATVupjXVx53FlWLrG1pIiajq7vP13n5LceO1cRkuhLceCAWzdO29By8ZwXNKmgaXr3nZ69UTq3q6/NMSEq09gxf+8Am7P9RGAZRrM+P4p1I4tB+DKy2bwaEmAm3wGRy9by5GrVueXj/tMEqEIW0qK2FRWgqNraK5LOJMl6Lp0twvy64KKUj/vZAxGtrYjhfB+tpspTuA1TO5+zYjtukOFMxkSBXoD9T4+d4DMH18uk6d7Fjnbdb3rPND1EsILRNI3SBbOZkn4fWhS4rdsopkMPsfFxZsFbqczfgoE5naFBpgCdA2SuRjojBKd708K8KW6gc+RoiifHomgfzh83/ZRjueaa67hkksu4ZBDDuHII4/kT3/6Exs3buQb3/gG4FWKbNmyhT//+c8AnHXWWXz1q1/ljjvuyJeAffvb3+awww5j2LBhu/V4dpUKAA1BkUiEww8/nN/+9resWbMGy7Koq6vjq1/9Kj/60Y/6LR8KhXjmmWf4j//4Dw499FBCoRDnnXce//3f/51f5vvf/z7btm3j0ksvRdd1vva1r3HqqafmI5m7S319PbNmzeLZZ5/NN3/eleOaM2cOs2bN6hf8AS8D6Ne//jXvvvsuBx100G4dt6IoijI0hCoifOY359CxvpWWpdvAcnAXrKH1uaW4QhD3mViGQUk6wxHrN7Ng1Ii+QaDecmVfAwV/AFZXlVEVTxR8TgN8rsuK2qo+ZTnry0u9pr29br5tXfemUg+H+OyHK6mMxXd8cy4l/5o+CQGkDYOAbXPpgnfZUF5aeF0hyOS+0dSlJJi1qIgnqIzFaSqOkvaZbCwrJmTZ+GwH3XXx2z2Ng7ffoosX/En4feiumw9UmI6D6bpYmkYs4M+FUCQCgea6TJxUwSVfnkZFeZBJn5nAu/e9xbb3tyARlB84gsMvPgR/uCeAYBgaXzpvMmd9dhwrV7exuSsBx3gl5jdPMLhnSSurq8qRAkKWxeGlBjcfU0NtSGdxcxZNwMwqP6Yu+Nzrcd5wihjWEetzTN1jb4qECdhWPlLlCtEnABO0bAJZi3Sv7C56bQPAKVAmp/eaOa73+dzV75EFoLle4Ea4XlBJSLA1QUY3vNnLdiKoU6c7REIGKQeaM5JELoAT0OCAEp3/GOejPqTjAJuTDg9vtlnR5RDUBUeW63xtjJ8ZJd5rSUpJS1ZiCCj1DdJJXFEUZQ/50pe+RGtrKz//+c9paGhg2rRpPPXUU4wcORKAhoYGNm7cmF/+8ssvp6uri9tvv53vfve7lJSUcNJJJ3HTTTftqUPIU02glY/EdV0mT57M+eefzy9+8Ys9PZw9ors52r7a3E0ZnGVZPPXUU5x++ukqjXc/oq77/mlnrnvH8kbWPvIuTfPX4iSy+QybrUVR1lSV918hdyNdkkwRymYHvKkWUnLSstWUJ1IFS442lJWwpaSI2lgXhuvyYW0VT0+bNOjxHLhhMwdu3MqTMybTHIkM2HenN811mblpK//2ygIaiyJsKy7w75qUBC2LUa0d+entn5gxhTWVZaRME0fTmNDYQihrYWkaTcURpBDYmiDu90rafI6L7rq4mjeVPEKAlJi2Q1E6jSYhWOTntDMmMK2zg4XvNNDgaGTLo9QfNJyDDqyhvOzjTbyQSCSIRCIAg07+UIgjJU81WPxxeZIN2xKIRIaILiiKmrxq+UgbBqWJvhlfpu1guG7+dxdoDYe8TKBer4vemVLb81kW24cZrR3155FemVpNr2njJZDVdZqLIjt9zL23hxAcWwIvzyrJZ4pZrmRV3EVKmBDVMHfi9banqPf4/dOeuO77+n1C9/hfmv6jIdkE+sQPfr3PXpuPS2UAKTtlw4YNPPvssxx//PFkMhluv/121q1bx4UXXrinh6YoiqIon7iSSdUc9P8+m//9mdteY/Mzy6hra8dvWSyvrco3e+4udSpJJJmxuYGVNZWFy2WkxGfbLBlew6jWdka2duSDBGnDYFVlGdFMhvr2jnyJ2MqqCoTrIgeaKl5KNpWVML65lSPXbOC5KRNI+nI3PLlgS6GAgSsEpy5dhQAquxI0RiMF91GcSnubAh45aDoLxtRTkkyhS4khJZ2hAEeu3UhW13g5OhZb0zBcyBo6coASuXDI5N8uPxjT1KkuD1Ic7cnemXVu4cPcU3QhOGuYj7OG+YCSPs9tSDj854dJ/rYqi+g1BbSla2jSRct95aoBlYkkJckUKZ9JWyTklbvtYjlVvlxrkKydaCbT53cBiFDu/O5iCdekqMb3JgW5bJSvT5mgqQmmFO3ejHBFURTlk6ECQMpO0TSNe+65h2uvvRYpJdOmTeP5559n8uTJO7X+N77xDf7yl78UfO7iiy/mj3/84+4crqIoiqJ8ok69+ljsbxzFuy+sRtvUwYTyEFbIz9svrMFY20hlLE5lPElnIMDwtk62lBblZ9MCQAj8tk1RKoMUgo1lJdS1diAFfDC8huVVFRy6aSu6lDQWRVkyrJqE38eWkuKBgz+57cb9XnmY33U5edkq1lSWsaGslIxhUJxKc+CmreiOw1tj6mkLBZFCcMmCdxnX3Ap45V0hyyLRe+IDKTEdl+JUBhd4r66WBWPqAZi+uYFVNVVYukZrJMwTMyYzfcs2jlizkbdHjSDtM6noStAaCXmNi7vPgxBUlAX4j6/MpG7YR8hI2cuMDOvccViU/zk0wk9fa+He5Yl8kCVjGPnZ1gzHy4DqCgToCAWwu0sIuwMy2zfAxptFTOuVRQQ95XKWrvcP5uSyf0LZnkCUBKZX+HjwzEoe32px68o0S2Iu9na1AN2lZREDbjswxKUjfbgSjL04s0dRlE+GFN7PUDLUjmdXqQCQslPq6uqYN2/eR17/5z//Oddee23B5/bH1DtFURRl32eYOoedNrHPY8edNoHOjW0smn0fjhBUxeO0BQNUxOKkfV6ZlAAClt0z/bqU3jTuAhqKonQFAwyLdeFzHP41fRLLaqvRXLdgc+B+pOzTd8fvOJy8bDW1sbg3w1fucRc4bs0G3h9ew/Qt2/qUCXnbyfW1yQUW/LZNXXsnjhC8OmEMj8+cCkIwrrGFSduaKZYOC0eOwHGhKxhg/rhR4LoYjkNpMk1IukRaszi6Rso0GXt4HUccN5qpE8rQhlhgQROCXx5XyXmTivjyk9uI2xIhBLaue6Vx5RGvd8/217PX77rt4LcsbF3H1jUcTcPo1SepmyElwnGwNc2bYK07gASUxRN9ehQdWx9kzmcqCZkal43yc9koP7YreaHJZlPSxa9DZ1bSYUlGhTXOHe4jZIjcMX0ip0pRFEX5lKkAkPKpqKqqoqqqak8PQ1EURVE+ccX1ZRz3zNU0/u4Fmp94n0hrjI2lxV7ZTIFMjYBlU9/aDkBnyOu1UJZK8/L4MSyr8f7tdAfL+tnOqNy2AEqSKWpjXnBn+5nGcF0O2rSV0l7ThAM4QrClpAhdSlwh2FJcRGs4iKPrrKqqIJ0rKZuytZFjV68nOqmG42/7Ep8XGm8s2MySJc3YtkPYEAQzWZwWDac9iWnqjDxwODM/O4nyupKdPp591YFVfv5+di2nPro1/5jpulTF4sQCflI+s0/AJv+6EALH0EnqGobjUh2LkzF0kn5fT/CnV1NwXUocKXtmS8tts7kogs9xCWpw91FRPl/fv4+HoQlOrVG9cBRFUfYXKgCkKIqiKIqym2maRu13Tqb2OyfjJjLM0ATrnl/B+3cvIJP0ynKElFR2xRnX3IqZywbqrsbJ6Drv1Q3bpR4tIjcz1+jWtvxjVbF4v6yRnhW8QEHGNAnmeta4wJaSIpIBf3488aCf90aO6Lf6ieOiTP33L1J22CiEJjCBk2eN4eRZY3Z6zEPdlHIf3zqwmN8v6sw/Zrou5ckUbjJFxtBpjYQLln4FLJuSZIqMadARClIZSxCyLLoCPpK5bDJXCGxN618WKATVQY07D4pw1jAf4mNM164oiqIMHSoApCiKoiiK8gnSwl4wZexZ0xlz5jTaF2+h9fFFZF9cBukUTm0p/pCJ0ARZy/totr6iFEffiayfXtkjJckUR63dgM9x809HMtkBp6DvZukagVyrmFgwwLLanoxdCTjbBReElEweW8JxXz9+x+NTuPaQEuqiBje/3UFz0psv3QUSfh+xYKBP5g+Qaw7uIAU0FUVwhUAXgvlfqOJfqxJ0ZRyOHBGiy+/jxmVp3mzztlnhE4wOa8wo0ThnuJ/Tagx0FfhRFEVRelEBIEVRFEVRlE+JEIKyGSMomzECfnZWv+eP7kjxrwvmelOk79wGMWybf3v5DZqLojia2KWsIQCJIBbws6mshM2lxX3KzTS8qe57FpYUR0z+/fzBp6JXegghuGBSlC9NjHD3qhT/b0mKRtu7ThIwgbABHXZ+BbLbzZZ2+0FBxpQGuPqwvmVcnxvmw3IltoSgroI9iqLsXhKB3OHXCPuWoXY8u0oFgBRFURRFUfYS0ZIg039wCrFbXt7pdWzDoCSdIZq1WFVd0aeUqCvgJ5rOMFAukRSCldUVNEXD/cqEhJRIwNI0TNvGdFyOOKSGCz8/iWhY9Y3ZVUIIZk8Icdm4IM802qyNO5T5vGnlJfD5eV281Oz0WccU8N8zg3xjbP/+PfllcuV3iqIoirIjKgCkKIqiKIqyF5l6wjjmPb6UaCpNV8C/Uxk9huNSEU+iuy4fDqtCz1WGNRZFKE5nCq4j8Ro+JyMBNEDmyskEXmAoks5w9JoNHLN6PctHVHPkY98kWLHvT9e+pxma4IxaE7YL27x4QhHvd9g8ujlLpyWZWaLz5Xo/AZXZoyiKouwmKgCkKIqiKIqyl7nwZycTuOhe/jVtB6VWUlIT66I4lcbWNJ6bNI5txVGimSzBrEWNFsMscxjd1pGfBr670bQrBFunjuTUh67EzTosvf0Vtjz9IUJKQuksxak0q6vKsUvCHHr7l1Xw51Mwo8RgRon6eK4oiqJ8MtS/MIqiKIqiKHuZSGmQg792FLF73+G18aO9BwtlAglBXVsHL04cw7wxI2kpjqI7LsXpNJF0hkRutqjOYICazi6imSxSQHsoSPm5B3HM909FaAJ8BjN/cAqTrziCpscX0bV4C8LQKDlyLJVnTMeIDlyCpCiKogxRAuRQS0Icasezi1QASFEURVEUZS809ZwD8BUHEX96kwW1tT2NgXvN/DWmqZXJDU0UZbJkfV5JkasJ2oMB2sIhwpkMExtbSJom88aOxNEEvqIgV/3POej+/h8D/dVF1KnZvRRFURRlSFIBIEVRFEVRlL3U+BPHM+74sRzy2d/xZqiE5qIolq5RmkwxdWsjJekMPsumOJ3mP154nQ9G1NL12QPJVhWz9b3NuLE4L08cQ2skjC4lx4yJ8LXZB6GbOzHFvKIoiqIoQ4oKACmKoiiKouzFhKYx/ZfnUDp7Lrbr0mX6EAh06eKzHUzHQQDGqAq+eN+lGGW5Xj0XTmFjQ5wN2xL4DI3p40oJBdVHP0VRFEXZX6lPAYqiKIqiKHu50KGjqf/r12m57QWMV1cgJVimjm9kGdGjxlH2hUPwT6zpt159bYT6WtW8WVEURdl1UgjkTsxEuS8Zasezq1QASFEURVEUZR8QmDqcEX+8FKcjidORRK+IoEdUc2ZFURRFUXaOCgApiqIoiqLsQ/SSEHpJaE8PQ1EURVGUfYzqAKgoiqIoiqIoiqIoijLEqQCQoiiKoiiKoiiKoijKEKdKwBRFURRFURRFURRF6UPmfoaSoXY8u0plACmKoiiKoiiKoiiKogxxKgCkKIqiKIqiKIqiKIoyxKkAkKIoiqIoiqIoiqIoyhCnegApiqIoiqIoym7WGcvwwYdNLNycokvXac5CR2caTQjGjS7h6mOqKA2qj+KKouy9pBBIIfb0MHaroXY8u0r9q6MoiqIoiqIou0k26/DQI0t57p0mlgyrJmOaIK3cszqlyRSxDWu5+LUNhKfW8tMTa5hWFdijY1YURVH2D6oETFEURVEURVF2Aykl/3v3e7z0ZgPv1A8nY+S+axUi/9MeCtISCWM6DoklW/nCQxt54IOOPTpuRVEUZf+gAkCKoiiKoiiKshusWt3G8kVbea9+mFdmUKjUIBcEcjSBz3UpSqW54ZVmPmhMf/oDVhRFUfYrKgCkKIqiKIqiKB+T47g8cve7bKgsJWOa7KjLRJffjwQq4nFM2+G+xe2fxjAVRVF2mhyiP/szFQBSFEVRFEVRlI/p8fsX096cYGlN1U4t72gaAtBdSXWsixdXdX2yA1QURVH2eyoApCiKoiiKoigfwztLmnjjtQ20hUMcuKkBpERIScCyiKbSRFNpgtksmuvm1zEdB6TEzQWCfJ1Jzn54Ey+vTyDl/v4dtaIoivJJULOAKYqiKIqiKMpH1Jmyuf7RdUyVEgkUpTOUJlJIQb4MTACG6xKwbOI+H5ahE81kkELQHA5RlMkSsiw2b+jguxs6KIuY/OgztRw/rghtP5+yWFEURdl9VABIURRFURRFUT6iOS9vIS0hq2logCsEmnRxhdanD5DA6z0RyWaxLYEmIaNpNEdCbCktxtUErtBwhSSWynDNE5s4oi7E7V8Yja6pIJCiKIry8akAkKIoiqIoiqJ8RI990EFTeQnt4SAHbt5GZzCAFKJP8EfiBYYAhJSYjsPq8lLaI2E0vJ4MmisBBwF0BAO0BwOwOcY3H1nPnV8chVCZQIqifMqkEN6MhkPIUDueXaUCQIqiKIqiKIqyizJZh3+8sJ7GYJD2cJCA7QCQ8Pvyy0gga+ikDQOp5VpvSonPcWgPh/JZQa4QOEIg8YJBftshZRo0R0K8vSnBsys6OXVSyad7gIqiKMqQowJAiqIoiqIoyqdCupKVTy1l5QNv0dGZoSsUQC8JMfqQERzzpZkEiwNk41k0Q8MMmrt9/9mMzfJ3t+R/t7I2ruuydW07maRFaXWEksowHR1pBFBcEkArUH61eUsXv/3D23xghmivH4buSiKpND7LYnhbO0m/n9ZwiLZIiIxpQu+mzkKQ1XWimSxdfh9ZwwAhvGWEwJESR9fx2Q5toSBjm1r5zyfWM7Z4PONqw7v9nCiKoij7DxUAUhRFURRF2Y9IKWFDK1g21JUjArs/0NKbk3XY+PoaVjz6PvEV27A0wdrKclJVUW+2LAs2LdjKvHmbqEmliMZTCKBsYhUTzplO3eEj0XQNw/fRPrZKKVm3pJGn5r5NW3OSrJ3OP3fbtU9hGiHiUuDqOo4mcE0DJxevKSsPcuSRdUydXkVpaRDLNFjZnOaB298inbJYO2EExck0n1mxBr9lY+saPlfiS2cwXZeG0mJvQ9uXHAiBLiWGK8n2eqz7/44QxHPBoQVjR1KSTPHlB9Zx35dGMWlE5COdB0VRFEVRASBFURRFUZQhyLUdWv/1AckPt6L5dRwpaH58EW7KwrQdKuIJSlNpEoeOIfqbLxOeUN1/G2kLoWsIUx9wP9JxsRMZ9ICJMHWyHSm2zV9Lpj1J1+YO1r29GTuWwnAcJLC6qoqMoYOUGLlp0R1Nw9E0GkIh3KyNJgRtm7pYfdt8xO9ex7QdNJ8OmoY/7GPcUaM4+MID8UcC/cZjZWzWLNrKlrVt+Iv8LJ+/gcb17Ti61v/4JFiOxBCQ1AS2pnkPAkJCR3OSZx9byryH3kO4krZoGEvXMB0XQwjShsHpS1bgs2wsI3eOcoGcxqJoPqtnIEHLItmrZAwgq+t0BXz5bdnotEbCtEQjXPBcC4suD6t+QIqifCpUD6ChRwWAFEVRFEXZ60kpcRJZEAIj3PeGWTouaKLPTbGUEiEEbtZGpiy0qB+hachkhuz6FlKNXWhFQcKTanBzcYGVd7yKkbSoOmwUJSdMQGj9AwYA2c1tOO1JzOpijKpoz+PNXbS/uAInniZQX0bJCRPRBgmcfKTz4LqQzELIN+D44quaWPPr/yO1eFO+tEgKgegORghB1tDZWlJEWzjEuDdXk5j1nyw4ZjrtSQc76xDNZKjKpNG70iAEoYPqKf/yYVR8ZjKZ9S00XfsQ1tIGXClxhWBzSRGNRRFM1+tvI3LXQJMSv5SYmiDu99MV8BNJZ6jJZAhZNgJwAVvTaA8FaA8F6QyHiKYzAGiOgy4lWdPwmuU4knQswzvPrGTxsys591efpWpiFQCu4/LaQ+/z9r+WIXMpPDI3DtfIfeQVAq/TjsfWdQy8hs1hy8YRgqRpgPDObTiToSidwRGC1mg4358HIZBSMrq1naBlY3UHl3q9BlOmMWjwRwB6d2mYlOiuiysEXaFAv21137B8EC7iy3/fxCVTi5lZG2R4sY9dtbopybzVMfymznETihhW7Md2XV5el2DxlgSahGm1QY4fW4Sp7983SoqiKEONCgApiqIoirJHSdfF3dCKzNro9eWIoA9rQyupN9ciOxO0x7JsfWsjyU3tAEQqw9SfMolIMo1992vonUkkYJs66UnDaYuGkSsaCFg2uuviCIERMAk4NjLuBRYcIcgaBi0lUdrKIvDNkaz95weIrGTV/y0j+uN/MOLo0dT/4hzib28g29SFu7Wd9GPvkm3ozA1cogmgPIw1vpb4B1vz2SMAQhOEDq6jfOpwjKBJ1m9iDC+lePpw/L0CR/3Ox8ZWZFscWREhvbwRty2BrgvMN1biPrwQUhZE/OgXHoV+9clYIT8rfv8iG15bS8aWmLZNUSpNxHHQpCTTK/jRMzjvz2nTYEtpMaNa2xFrm2isrUYETNr9fjaIYiY4TZQlkiTe3Ujy3Y3Mqyln5NZmIlkLcsGfFdUVtIeCaFKSNTQSwsRnO0TSGXQpSZgmzUWRfNjF5zhkTRNb14lksmhS4nNdyhMpglmLhuIiokKguS66lFi63n/8gOVKHvnBvyiZUEn15Go2r2iheV1b/toIKRF4TZhdTeSDYD7L7nvCe21Xk5JI1iLhM/HbLsXpDBJoi4S87KBeywtgTHObF2QqEIwzXHeHGUASL8gUzAXDAIrTGVojITqCgf7rSslTSZOlT28FIKhDMS5mNktQ1zh4dBHnH1HN2OoQAB3xLItWdzB/ZQfvbojT4OpkNS2/3f96eRvZoI8tkTDBrIXpuERTaUa0dfDnZCp/vK4m0ASU+TT85WEyQIursdwIkTZ1ygI6X55cxFH1QR5+pwXbcplZG+KsgyoIB9TthqIoyt5CvSMriqIoeyUZS0HagvIIokDpxo44rXEyb67FzdoY9eX4xlejRfuXi9jtCTr+uZjs6kZkiR/G9n3eauoiu60TvSiIf2QZAO7KbcjOFNqIMkRVlNRb63DaEpjDSvHPrOubieK4kMpC2N+vbEPG08g1TaBriEm1kLHJ/uNd3FXbIOTHOHkq7rYY9rvrvWyBY8ZjHD4WzWcULAFxExkSzy/Fem0F2sYW/JEAxmcmo33hMOLPfoi9YA2GIfDNHIn/4FGITa0Q9sMBdX2ySaSUuAvX4r63AaTXKDf78nLctgRGfTmBC4/EPHkqQtfIrG2m7ZG3ySzdSmB9E77WONJxyVaXYF5yFKXnH4rwm7Q+s4TMlg6M6iIyTXE6FqzFbo1TlkpT1NCG6Eh6Ow+YCFNDb4vjtx1WV1fQUJwLluSOObulHfuWp3HTGbpHLQDDcggu2USFYdD7FSOkxE1naQ2HcKJe/xQJdAZ8dAWD3jXq3n7utHb5fGx4fR1Nx/7G27btEMlk8/tygaTfT8pn4GY1+HAbBqDnnkdKQskMwRc/ZPOb672ZoXpds6JRZdQfOYrMextJNHXRho7QBBM3bSO0pS0/Rscw6PL7KEumcKBnavF4Bud/Xyb20EJeHllHWtcBDQxBRteJBwKEMhmGdcQwc0GwQkEKhKA9FGR4eyfTtjayqH64N5tVbqwra6s4YOMWQlkLNI3RW5oI5jJlNGBbcZTWcKin/Cknq+vE/T6KU2laIuE+1y//ehWCLp9JUe68Gq5LKGtRGU8gAdNxBgz+dD/mCEHbymYa17ThdI8hl3nkXSNffvp1cqUMKbN/zyOJFxR0hcDVNAxX4gpI+EwMx8UyCn9kjmQyA5YTVMQTNEcH7tfj5s5B7+BP93moicUxHaf/+kKQ9PVk/aRsSQqBjkk4leXZD1p57oNWLj26hpbGOPOXtOT7TztCYAb8JIN+bENH4gXEslJQnEwjhWB4R4zJDU04mpcp5uIFxXC9c9TquDS1Z1hZW4ug5/W4MQO/+CBB0cJWRrZ1oAHvL4Z7n1nPpafU8+WjhwGwpj3LooYUmhAcNjzIiKK+10JKyTsNKV5al6A17ZCSGiMrAsyo8HHCMD+6JmhMOrzWkCHrSmaW+5hS1rONzqzL+x0OGnBgmUHYUBlMiqIovakA0D7orLPOIpVK8fzzz/d77o033uCoo47inXfeYd26ddx8880sX74c13Wpr6/ntNNO45Zbbum33imnnMILL7zAvHnzOOKII3Z6LJdffjn33ntvv8dPPfVUnn76aQAWLVrET37yExYuXEgsFqOmpobDDz+c//mf/6GiooKXX36ZE088kfb2dkpKSnZ63+vXr2f06NEsWrSImTNn7vR6ACtXruS6665j3rx5ZLNZpk+fzi9/+UtOPPHEXdqOoii7n3xlOdzyFMxb6T1QGkZecRx8+zRE2L/D9d1UlvYb/kH64YUEMhaG6+IAcV1HHjKaoh+fhf+Q0QA0z3mN1t8+i2E5CCmRPg1+dRibZ/wUU9exK4robE0gc+UgxRUhSuJJ2OJloqQNnaS/75jMkeVUXH82wdIg7q3PwBPvguV4gazLj0X8+8mgCZxfP4F7/3wvOATYJSGylsSxXWKhIGlNI/SHlyjOZDBc15sq+vfPkNI1GspLMS45mrqLDydQW4yUks67X6ft1meRWSefdaC5LkXPLsF37YNkTQNL17FcFzP9Im6uTAfA9pvE6iqwDx6DP57E/8IShO3iAhldJ+XzkTEN70a3IUbqnU24ho6/LITd1EXAdghnMpiOQyBjoQGRlhjWDzex7LfPeRkoEq/0RoLmupiOQ3HWoiiT9TJDuu9SU1lkCqSm0x4yaSgpyp/bolSaMc1tRDJZMmb/jzCuEFi67t2w9ropd4VX4mO6DraukTINMobREwgYILiQDPgpaUuRNQ3C2Z7gjy0ErZEQKZ9J0jRxNA2BJGDZBLMWoWyWsmSKoGURD/hJG/1LgWLrWlmxuomqjhgpv4+oKylLphBZq2cIgESS9plsDPjx2w6V8TiG21M2tLC6ioyuF8zuSfp8tEbCVMYT6FJiFzgv2VxwtSvgpyyZyk9HbvQqTVpVXckBm7Z4AQtNIx4J5UvLkobRr/dNnpR0BgPetd0++JTr/2O4bq68yyuBMh2XykQSS9NI+UzcAcrcem9Hy63ruF7QQsuNPW2aXvCnQAPm3hzh9f7ZPpAjc8EWAeC6/Y4h4TPZUlzE+MaWgkMrS6QIpzP9gn9APhuqdxCFXo8BlCdSdAYD3ixhhVbuPpZciV9nIEBFV5ziVIbHn1uPpvWdfEyXkrJUGlfTaPb58utqAnTXxW/bTGlowhXesQvoG0gFDFdSnsoiXLcnCC0EhusysrWDsGX1GR7A3c9v5vcfxJEBHw1pF1vTcttyKPVrTBsR4dhqH9uakzz2YQd2Ltjkat5rUQqvfLCyyGRqmcmLWzL5Jt0Ah1b6+O+jS/nDmgxz16bJ5OK5EQO+Ni7Iz6eH8KlSNkX5SCT0+zu9rxtqx7OrVABoHzR79mzOPfdcNmzYwMiRI/s8d/fddzNz5kza2tq44IIL+PWvf83nPvc5hBAsXbqUF154od/2Nm7cyBtvvMFVV13FnDlzdikABHDaaacxd+7cPo/5czdETU1NzJo1i7POOotnnnmGkpIS1q1bxxNPPEEymdzFI999zjjjDCZMmMCLL75IMBjk1ltv5cwzz2TNmjXU1NTssXEpyv5OPrgArroHek+73J6AW5+GFz9E/uMaRIGmr/n1XZfmr9+LeGUZxVnvRqR7S5ptw4JVtH/xfyi+83KSnSnafvO0d6MrJYbj4HYnggAymUXf0EyJEMSCQQK2RcmK9vw288Gf7W6qrY1tNMyeS3UiQTBjQXd2SWsc+dunkU+8ixvyIZduzT/nCEE2YWFrGptKSwhls5QmkoQty+vbAvl9GI5LXVMrzf/7Iu88u5SZd15E9sVltP3m6Z4TkVvWFYKOUJDSZIpQ1iJtSIoyGYTse9OpZyzKVjfQtqWd9mAAEQxTkkpiaTqdoaDXPLf7OKXEADKui9PURcBxAEnC7yMBdISClMeTBC2b5miYjG4gvEYs+QwbV9NwXUlRJovIBQK0XLmOzI3b1jRaopH8eiXJFDM2NSDI9VbZ7rxLGDBbpHu7kXSW1ZXlXjaH41CazhBMWthZneYCrychJbqUDG/rIBnoed21h4K0h4L5wAVCIPF6xwzr6GR4Z1d+WX8iSXkiia1pJE2DjnCIRO7m29J1GkqKkblsi5YiL9ujO9DVVBRhdWU5UvQcwwpZwdjmNuraO2kPBmiLDDItuBB0BANUxBPezXyuZMsF2oOBXBDNu9FfOLqeYR2dlMXjlKSyRLJZthYXYRk6GpLlw2u9Tbou0XSGklQKDUHKP3gQTeIFEdzej0uJ37b7Bj+EyDeCDmxforUDjqahS+m9xn1mT18hXSs8rt7rCgG5102hJbtvfnRX4vSKhrjAK+NH42iaFwDa7u8pgKVrlCeSWLre81rJLSPx+h7pcuBbEQmUJNM0FfXKApKScCbTdzkhyGoaSb+PWDBAOJNhVGsHfscpuN2yRJK438TVdGxNw9G9GcmKUpl8P6aBzpoAArZDeSJFRziEBAzbpqazi6Bt55fpzXRdutI2Tb4g0t9zHjLCIOm6tK/qZNGHVv710L2+7ko0JJauEclk2JrQ2Jp02d67LVlOfKKJTr+P3rlUcRtuXZ5ieczm78cWoe3njV8VRVGgb2Bf2UeceeaZVFVVcc899/R5PJlM8tBDDzF79myefPJJjjnmGK677jomTpzIhAkTOOecc7jtttv6bW/u3LmceeaZfPOb3+Shhx4ikUjs0nj8fj81NTV9fkpLSwGYP38+sViMu+66iwMPPJDRo0dz0kknceutt1JfX8/69evzWTelpaUIIbj88ssBePrppznmmGMoKSmhvLw8H6DpNnq09w3+gQceiBCCE044oc8xTZ48mUAgwKRJk/jDH/6Qf66lpYXVq1fzgx/8gAMOOIDx48fzn//5nySTST788MNdOnZFUXYf2RaH79yXb/Tahyth8Sa4/blBt5F+ZQXOayu8chX63oh0/zmcztB+zV9pveVZjFzQwXDdgt/Ed2cTRNNpSuPJfPBHAimfr3B/DynBdWkzfT3Bn97HsbrJO5Zez3UHLhqKowjp9R0J2nafpr29xwRQGYtjtnWx7CdP0HZb/+B+72W7An4vAFIg+NP73JSm0mhSIgWkDYPOUMArBem1re4gUMiy8XXfYHaPMXdj2xIJEfebtEXCfW7wu2nSy3ZBSsxcn5ruZ7sDFT7HobIrkd/fpIbm/DUqlNWRn6lkgJs8gZcBEc5kiaQzzNyyjQlNLYxo76SuvROA+tb2noAb3nWOB/zoQDBXpmTpGrFQgGyBrJfRrR0M7+zqcyPb/WO6LpGsxfCOGNWxrvxNcHfwp7dYwM/iETWsrirPP999bK6msaq6gi3FUZqi4b4pHgVITSNjGt44pCSj62wtjpIM+HF0HUfXsDWR385hGxuY0NzKsM4uDtmwmZOXruLsRR9y1Or1VMbiSE0jFgzQUFyEK7zX1o4aHWu5IKvI/d8c5O8beH2J8tdhB8fXvY/uYzVsBxcvKLSj4A+Ao+9ck24NwHXRcj+N0QhdwQBJv4+FY+rRHbcnGwdYX17C/LEjWVNZRtJvYglwNIEUYGuCDaVF+fefwZjbB3GEoCLR9ws071zKfAlbVyDAB8NraI6E+iwn8bKW2sIhIlmbonSGsmSKkkQKXUo6Q0G6/CYahYNh3VygJJXygmd45zoWHDgwn9F1mqM9PaB6v6dJIUj6fX2C9T3H1JN1ZA9yPR3p9YPSCwQOXeCprRb/t9Xqv6KiKMp+SAWA9kGGYXDppZdyzz33IHt9MHr44YfJZrNcdNFF1NTU8OGHH7JkyZJBtyWlZO7cuVx88cVMmjSJCRMm8Le//W23jbWmpgbbtnnsscf6jLVbXV0djz76KAArVqygoaGB3/3udwAkEgmuueYa3nrrLV544QU0TePzn/88bu4r+oULFwLw/PPP09DQwN///ncA/vd//5cf//jH/OpXv2LZsmX8+te/5ic/+Um+VK28vJzJkyfz5z//mUQigW3b3HnnnVRXV3PwwQfvtmNXFGUXPbQArP7f7ua5Eu5+padfSwHxv79DoEAJQrfu2wczlkS0J/KlR9pgN2LC+3a8uyQCvIDNYMEGEFiGkS+v6UPKnowYuksdNK8kyecjmsnmZ08acPu5fY9o6ySxpoXMYOdNCGxdxxECvUDwZ3uRTNYLcgnh3RwXGEN3aUjBbeWW7wgG8QqYtiO9UilNuvmb24ECUiHLazRcmkx5AbFBxr2zKd3hbJbJ25rywavegYiyRIpRLW19lvfZjpcRIXoCKMkCszsZjkNdR8eAY5T0BEKK0hmKkylv2QEyZxxNw7QLZ3AArK0sI7uTwYtuGV2nKRou2LMmaxokfdv1xhGCuN9HRyhIbWeME1atZeqWbfnspc5gkB2FMISU+GyHaCab//FZdp9A2/b7RAhSPhMtVyI2YBCo9+O54GP3a9cdZFjOgH9ve7Yrcj/54FVu2y4CKWFbUQSR+zyyvqKUlyaNIZkr1dpUWsS6irL8e4QUAjQNV9OwdR1LCNJ+/6Bj7JbvX5QbR01njHC2bzCjO2uudyAWYENZKbFeJapxv88re9z+teu6lCRSSOFl8O0U4QWzuvfbFQyQLlCWCdAcDRcuxctvx7veBXcDuebi+qDBQIH3d7UQXcCcNakdHZGiKMp+QZWA7aO+8pWv8Jvf/CbfPwe88q9zzz2X0tJSrr76al577TWmT5/OyJEjOeKIIzjllFO46KKL8uVZ4AVPkskkp556KgAXX3wxc+bM4YorrtjpsTz55JNEIn2bFH7/+9/nJz/5CUcccQQ/+tGPuPDCC/nGN77BYYcdxkknncSll15KdXU1uq5TVuY1Va2qqurTA+i8887rs805c+ZQVVXF0qVLmTZtGpWVlYAX0OldtvWLX/yCW265hXPPPRfwMoWWLl3KnXfeyWWXXYYQgueee46zzz6baDSKpmlUV1fz9NNPD9qDKJPJkOmVdh2LxQCwLAvLUt8sDTXd11Rd20+PXNUAYQPsQW7lE2loiSHKCpe9ZFpjhE2BM8jU2xJAF0i/lm+C6ubuGxy/3uf/PSvlZlLKBZ8s3cDx7TjDIBMyEQOUsziC/Pq2Tyfu9+P6BLoO0q/haDu4uZcSU3ORPo1MxMRID764FTSw9R1kiwD4BJiCtOnD8RW+adNcF1vqg9/6S4nrEwih9QnOaK4LCFxHwxU7DmAEpU3ItbECPctKQ/TL8HBzga4dCbsWrq9viUv39Xb9OsWZLAFs74ZUQpGTwQl4ZStCF2SCBnL71wdQms7g+nUGCcV5+8K74S1ysnSYoYLNvLvpgDQpeA2yPhPsNPgG/y5PuC6m5uL6BG1FYTAKXVPv9+ayKFHX6leW1BkIUeRm8ds24ztaaSmL0FgUpcsIEHRsr6SuUKBQSny2C0Z3oVlP8FADr6SqwHoSL6tE4mVOuYYXbOizbG6MvQN43f/XdDCFJKv3D6Jqrgtmz2O6Dvk4ba9AT+8z4wVYJI4uvJCmEExqa6GhshhLN9Bcl5GxTjJhH2lMtlYW4xcDB++CrsuIrk6yQZOiVHrQv0ftPo0iO004Y1GaTOYadPdfLmGaBHrvU3jH014cpLwlhS0E0q/jG6CjhwRK7Ax2wICUQM9laQ0kEfHj19xc7yYvWJYK+SjqyvZbNhnxExCDBakl+AR+a+Bz5tNcxGDbyB2DTYH3Wwlb47LP5zX1b/v+ZU9cd/UaU/ZWQhZKy1D2CUcffTRjxozhvvvuY82aNYwfP55nn32WWbNm5ZdZs2YNL730EgsWLODRRx+lvr6eN954g1DISwu+4IILqKyszJeGNTY2MmLECJYsWcLEiRN3OIbLL7+cLVu2cMcdd/R5vKysLB/YAWhtbeXFF19kwYIFPP7447S1tfHqq68yffr0AZtAr1mzhp/85CcsWLCAlpYWXNclkUjwr3/9i9NPP71gE+jm5maqqqoIBoNovZo12rZNcXExjY2NSCk555xzsCyLH//4xwSDQe666y6eeOIJ3nrrLWprawse6/XXX88NN9zQ7/EHHnggfz4VRVEURdm7pdNpLrjgAgAefPBBAoGBy5cURVE+imQyyYUXXkhnZydFRUU7XmEvE4vFKC4u5l8HX0/YGFrvkQk7zRnvXL/PXpuPSwWA9mF33303V111Fdu2bePmm2/m/vvvZ+3atQN+m7hu3TomTJjAn/70J6644gra2toYNmwYlmX1WcdxHL73ve9x00037XAMl19+OR0dHTz++OM7Pe5sNsuBBx7IIYccwr333jtgAGjKlCnU1dXxve99j2HDhuG6LtOmTeOxxx7jnHPOKRgAamxspKamhr/85S8cfvjhffar6zqjR4/mhRde4JRTTqG9vb3PX/rx48cze/ZsfvCDHxQcd6EMoLq6OlpaWvbLN4+hzrIsnnvuOU4++WTMAlMGK7ufXLAaLvifgRfQBRw9HvHnbw64SHreKlJX3oXpDPzttcTrMRIfXYPb0InI9aEBLwNkyfWHMu36t9Azfb+N9ltWfmYkSa7EaaDsjdw2a2Jd/cbR/Y+u2yujwcqVFW0sKyOaTlOcShPOZnt6AA1gWzTCtrISaq00oitTeKHcWMqSSQzb2WF/j63FRdiahs+2iQcLz7qmuS7aDsrJhCvpDHr9YXovZ9oOPtsmkLUpS++4LGNNeSlSE0xuaELr9YnF0YQ3uxa9H9NyZVGFR7a+rJhRuX4/fdbz67z388OZ+dM3ERmHzlAAS9cpTfZPq0oYOqtrKrC0vuVxxak007du2+HxOPRk4KwrK8EdJGtJAklf4ewagDGNrejS5YMRtT3nIteHBiEIZTPUdsTQAJ9ts7K6avDBSUl5IkX59pM0SEkkk6Um5jW3doXgiRlTAahra6c9FKSpKNqnJ5ZwXfyDlGt2020734/A1jRvRjEhSBk6rqZR3dmF4bq4miBpmHQFvX5Wg2VOdc+6JnN/dnQN4bqEMxaOptEQ0PntHC8AdO3XHkTXvJnKBvu74WUB0e8198LE0UxubKU7ua4j4Gdr6Y4/E1R3dmHpOkuGV1PTGcfMzfRHbgxeU2ezp7dV7hoEek0ZL3PLpQrMMtbbzI1biPt93mxiO8ha7C7PK0mliWSz3jTw9LxvZXWdD4bXkPTnpqLPlbTqrksoa1Eb6+q3zVVV5V6vqEHObsCyKUkVTmOUQMI0iAcHLk+TQNbQC84OCHD7IREuGOlX/7bvp/bEdY/FYlRUVOyzQQYVABq6VAnYPuz888/nP/7jP3jggQe49957+epXvzroB6JRo0YRCoXyTZ7vv/9+RowY0S9488ILL3DjjTfyq1/9CmP7qUd3A5/Px9ixY/Pj8Pm8DxFOr0aHra2tLFu2jDvvvJNjjz0WgNdff73fdrZfr7q6muHDh7N27Vouuuiigvvvnn2sd4ZQ9+/d/YUK8fv9fcrnupmmqT5EDGHq+n565DGTYHo9vLu+f/NkkfvPVachBrkexnGTyEypx3xrTcHnu29izGOnMOK609nyxTtyTZtln5IHPePkA0Dds/VkXA1/rj8OQNROFZwFrPsGvDKewJcpXNLghnxIy4Hc+5eBgzBcokaKlGlQmnFxLYl/oPekXE+i5qoItadMZdj0WpquLdC/LRewKk0kMB2XjK4TzfRMZ779uYn7fUgbdFw0y8HALtzrKDftdqHtdD8fTWdwbJm/UewOA7kS9IyLLQVa2hm0GaEjBEkMApZDmxmkNhbPP2cCPmxsXcMRGmnTwDYEFgLTdXumSs9tpykaptUfYlS2fcCZl/SMg5ZxKMkmkQWmH7eFYEtpGWVtCRpLiuhdStOp+7Ac0ecGvc8p6V46V9pkaRrSBjFAkETmxu2d+u3GKyUBy6I4lgIBh6zcSENJEY1FESxdx7QdSlJpilJpAo5DMGt5M2KV7eA7Pykx0zZaxu33uD9pYaa916utCci6BCwLPeNSnkng2NAZDOQbmuuOs3ONmRzy/YAMHKQlSflMHKGBAzHdT0U6iYYkSoa47ssFRQqfM1f06puDF/jK5mbbkg4I4Xqz2nXv3gFcrwpp+0bEhbiQ76Ekgcq2BK4t8qV/wpJkZIGgXq4XkiZzDY0tSSSVISl1lpVXUJpMEeluNG7oXoljfqfe+Un5Q/x/9u47Oo7q7OP4985s1666LMm23HsFm2Z6sw0mgVACJPQWCAFCKCGUUBMIEEhCCORNMBgCxJTQMcU000wzbrj3KtlWL9tn7vvHSivJKpZs2bKl53POHkszszN3dmRp9rf3Ple5SNavitfWJwPV/GtdW28rZhvErcRMYa0GQFqjrMSwzW1uH2UOd7JwumUYbE31U5gWSAy11PXPMbTGwCAtFCRqNx5eqQFfdYRtnlZmqwN8kUizr1tiOKAigoOwbr79Zu01r3Y2ngWsbt2wVJOf9k/B2WAqePnb3j3tyesuP19ibyUB0D7M7/dz1llnccstt1BRUZGcPQsSw5WCwSBTpkyhb9++lJeX88gjjxCLxZg4cSKQqKlzxhlnMGrUqEb77du3LzfddBNvv/02p5xyyg7bEYlEKCpq/Kmnw+EgOzubt956i+nTp3P22WczZMgQtNa8+eabzJgxIzl1fN++fVFK8dZbbzFlyhS8Xi8ZGRlkZWXxr3/9i/z8fNavX9+kZ07dUK93332X3r174/F4SEtL48477+Saa64hNTWVE088kUgkwnfffUdZWRnXXXcdEyZMICMjgwsuuIDbb78dr9fLv//9b9asWcNJJ520M5dCCNEBlFLo56+Ecx6Hb1aBo/YNkGWDywF/vwB12JDW92EYZL30Kyp++g8c365q9IYu+Qn2+AFkPnY+ht9D/lMXU3TVs9hV4aYBem3IYitFdYoXW2swDVJDYdDgjlsoIgRdrkbvvRwFGWT/9gQ8j30Any1LnIddGxLZNurmkzFPGEP8on/Bmm1gGiit8cTj9PIq1sZha6qfnMpqzGg0OU19w54dWimW5eaQceRgBl8/EcPtQLkdlDzwDvENZcm2OC2L1HAY09ZUuV3YtdNsp4YjiTfEDdpd5XZRmuKrr62iIbM6REnA1zjkql0fNU3cltX0TbPWOC0bVzROpp2YOS3kdjUqeh03DBy2TbXHTWq4hZ5LwJbUANo0iWudKLqrNblVNcn9KMBh2WxL9xM1zeTsUlv9Phx2Ygp3yzCIOExspXBaFtv8KeRWVbdeULqFujRlKV7s2h4XvUrL2ZSZjqr9OQFYkpvDfhsLE6/fds+F+mBCkSi8GwhHmp9Fq7Y3SqyZ6e7r6tQM2VJMVjBIqc+H09b0Kq9sNP389oxYnJRwhJod9BYJNHc9lCI1nOidYQNbAom6f2m1PaQiDhNXPE5aKEyk9k2PDa32bkrueruvnbZNRYP6V0GXk+qYE39t4eP0YKj+57TBedS9xjGz6a2tqTWO2l6BSoM73r5p5hu1V5MMn5TW9Cspo7LBMHBvNIYrFk8ULa5tny8SJS0YTvYgrGuwrRS+aJyIMzF1fbiZ4uKJAyWWGbaNbZpEjNpztG1MSzf9GWnAF4lQ7XQ26nHYLK1xNSy0rhRxh4P1aYFEcfDmnpucqS1R0yzsdOCy7WQIWhe8bk4NoKktft/gfOraHduul2DtLmv3AdUuJyGXiyl9PPT0O3huRZBQvL4G1Al9PPx6bCq//j7IVyWNe0gdm+tk2iEBPGZr/+OFEKL7kABoH3fJJZcwdepUJk2aRJ8+fZLLjzrqKP7xj39w/vnns2XLFjIyMth///15//33GTp0KHPmzGH+/Pn8+9//brLPQCDApEmTmDp1apsCoHfffbdJ3ZyhQ4eydOlSRowYgc/n4/rrr2fDhg243W4GDx7ME088wXnnnQdAr169uOuuu/jd737HRRdd14nJzgABAABJREFUlJzhbPr06VxzzTWMGjWKoUOH8sgjj3D00Ucnj+FwOHjkkUe4++67uf322zniiCP45JNPuPTSS/H5fDz44IP89re/JSUlhdGjR3PttdcCkJ2dzbvvvsutt97KscceSywWY+TIkbz++uuMHTt2J66CEKKjqEw/esYN8NVKeHsehKIwtCecdTAqrW21tpTbSfob1xL7ZAmRh99FL96UmEp7cB7uqycSOGFMctuUCQMZ8N3t1Hy4hKpX5xBdmQizjVQPzoFppPzsYGIpHrzbqjHTvKQfNxxDa6qe/IzK2auoqYoQzksnc2AOqcNycQ/KxTM+EWrr40fC7JXo176DihD0y0GdcyiqTxYAztl3oD9bjp63Fhwm6pgRuEf0YnRFiJJXv6fk42XUrN2Gv7KGlOpQ4s2f06Smdw41x4xi8MljSB3VMxlc+SeNImXiSKKLNhPbXIaxbDNOpwM1NI9IXgbWrGXoL1ZghiMYBelY2QFCc9YTXLiREAqtEoGbkeLCEwzjC4cxgOyqampy0gnHbbSlE4GY203EYZLpMUhxm1gbEjNnKQU+U+HP8OEYX4AvM4WMsX3Y+uxstlbGsQ0D07Zr5wbTVLtcqNqhLdvbEvBTlOoHnZje2q01RWkBigMppAfDOGybmGlQ7vWgtMYbrX9TnxaJUubzJkKBujfPWpNZE6TM6yEjGMJlWc2GQM1OMU8itCpJSfRisA0DXzTGQWvWsyEjnRq3C4dlkVdZjRm3wEhM115XQLhulqa6meTq3gf3qE6EWc2FQK54HG80So3bXT/chkQAMmRrSXK4TEYwRLnPg6VauaXTmpjDJKc6mAiAWggMsquDTXtHaU1aKJwoPkxiONDyHtmkhsJYhkGx30fcNDHqeuPW7ls1+Lq1djU3G5jbsgibRjLsCjsdOGwbw9a44xbpNSEqfZ5GPX3s2pnJtNE4FGr4M1AXKqQ28/PWFnU9jJKUwh+OUtlgOKgCepVXsjY7A13beyYzGG7SQUcrRdQ0Gb92A9/3643ZoJ3NH1wne/HVfY9Sid8LhtE0pK0NPGvcTu47pj9PvLma8lg8OcRu+30rDanhCDVud2LW1tptsquDbMhIbfQ6bn98y0j0fLNNkzKfF7Qm5HRS6vOAaWJaNpnBMGaGj+JI/Sth174GKcrmyNFZHJRqsHBTDSvLYmyLamocDlL9Ls7o4+Wy4SkUBBLh4q3j0/hma5SYpRmd5aRnSuJn/9OJLuaVxflyWwxDwdG5ToalylsdIXZF82Xj921d7XzaS2oACbGT6sbGdtfxo11dLBZjxowZTJkyRbrxdiPd+bpb5UF0zMLMTAFDYS0rRFdFMAoyMfPSGm2rLRsMlQyf4iXV6HAMR04A5Wr+DVd03npCL35NxcZySuMQrwzjjMVJSXHjS3PjrQzizk8jnupj84ZyKlaXQChGIBwmq7oGpW22pqUmepg06BHlCrhxe53YFSFMtwOX08SIxrCDMYK2pgYj2ZPLTnFDiptIZZjc0grSwpFELwO3yZz7D2Xs72YTs8ChdbKmC7VDdrak+qlxu4k1GD6UX1FJn5JyHLW9qRSJgKDalai3YmiN4TJRRqIGDUqhw9FE7zKHA2t0AVuViWfpJhyWJuJ0oJ0mgdG96H/RBJz/+Rw+X06N6SCc6iW8pRIbRV5ldfJYhk4MJytN8bY4XE+rxHTutmFQ43KyOS2QmLmrbhMSvUt6llcRiNaHI8q2yQyGyKoJJs9vRU4WS/Nymp3C3rQsIg5HMkSzVSIIa1bt0CHHdsMcNVDjciVDL8NKDGdzaE3YYWIpI/l620pR5XYRc5hNhuzVXT6rti2GbSdmqwIi8TC3vHoZAL+5ZDqm8iTb09x51e3PUqq+xkzt7XNcGazJySQlGmsUKAadDopS/WQEwy0Pc6zdx/LcbKIt1K5puK03Gkv24HJHE/83NqankRqJ4LBsLNNEk6jHo2yb/EiIJ84awIhefsqro7z73RZem19KYdBuNFudMx4nNRzGaWsihkGN292k7k9xIKXRVO11r0d+uos/HZZJOjbLt4UJ27A+brAuaBOK2gwNGByR7+LwPim4zMRQ+29LLMpjmpHpJr19O+4l1pG68+/47qwzrvu+/j6hrv1vddEaQD+SGkBCCCGE6M7M9MY9rBzDera4rTIbv6V1ZPl3uH/Xfn1w7deHNKDPDratux3TWqMrgqjPlqFDMTLTvFQu2ETVym2ovln0OG8CnoLMVvdVt5/th/hprbFLqoku30Lx4k1AOSU/OQhXcQ2BpRsxghHMzBQ8I3viyE0lt3cW9tg+xOM2VRvKiAejeHoESB1fQM30ryl+dS7hsiCW00FqXir+QT1ImTgS3zHDGr1eOmZhB6MYfjfKNOgPxENRrLiN0+fEaDhs6qjhAKTUPnQ0jjXzB/SSTdjLi6iOQzTDj+12UPPOQrwVwcY9ampDmGBt+IPWpERjDNpaQsjpJGYaeOKJoWFbUgO1pWQ0qaEwTtvGF47itizsLD/WgFyKt1bjqInRt6SczempxB31bVVakzq6F8GyIFVbqpO9d5RtJwsZN2yb0aCOVEOKRM2XujpTqeEwrnicSq+Hmto6fIZtJ4dipYfCVLtrA6PtrrFV+xpAIiwy0U0++c2urgYjsb+owyBU2wOm4c9LMghxNOh9U7vPH3rmEjcNTFvjjceTQZkvGqNneVUiMGqpZ0/tcodlETON5gO8Btu64hbOeLC2SHycP54zmMXazUvrw2zZFsJdVk0gHmOgT3Hq6EyOHjMAjyvR5nS/i7OPLuDsowsIRiy+X19NJGYTsWy+WFRCTTCF9FQXowal43YYrNxcw/JNNXhMxUEDUvnR+BzKY5r1lTG2hGx8boN8n4MxWc7kazWud+t1fiBRb/HgnNYqfwkhhNidJAASLVq/fj0jRoxocf3ixYsbDTsTQgghOpJSCpWeAj8ehyIx/Chz8hh2HPk03U9zy8zsAN7sAHkH9oUZMxhz94/b9OlwxrjGf/vSrjiWtCuObVtbnCZmWuPZjBxeV5tuyJTLgeOk/eCk/QAavQ76j6cRK6wgsmAD1oINGClunGMLcI3vS3RdKVWfLKPqsxVE5q/H0DrZ08dSitI0Pxsz0ql2uxhQUorLsrAsm/joPvT8w6k4RxcAkKI1dnUEuzLEgLfmsWHxVqJpKWSOK6D/lFGYtWFD8fItfH77DEJlocSQP6WIGwaGrVHaTvS0aaGXDYAZtwjE4qRGIqREEj1rUiIxKoYHcPXMpKo0hOEwyB2SzaijBlK1Yiub522ksjpGdVxTtLUGHbehbmhUrbraUw1DIGVrXLaFZSgMbTQa/lTXJg2Ea+tIWYYCO1FXSAEDS0pZnZ1FaYoXdyxOajiCJx7H0BqnbRFpw5V12DbeaKzRUL/GL0yid5I3GsUfjWHYNv17+zl0QBqHApcO9ADpOzxOHZ/b5PDB9b36pozOarrRqKb/ywJeKEiVXjNCCLEvkwBItKhnz57Mmzev1fVCCCGE6HxKKVw903H1TIcTRjda5x2Wj3dYPj2uOBo7Gqf4xW+p+m4tuF1kHj2U4ccNY+yGMra+v4hgRZiU/tn0/NFozBR3k2OYAQ9mwEPW5cfQTGwAQPaQXE7574UUfrWWtS/PpWL+BozqKFsCftyWTnSRaaG4tdNQpITDOKNxTK2xASs/nQkP/oSM/tnNH3BELsNOqT9ny7JZ8OkaFn+8isLVJdi2xjAUxCxANxqqFTNNQk4XUaczMVwMME0YPjoXK65xBDws6JHNq2UGYQtcBpyQpcj+fAk1lRH8kSijNhWyJdVPlcdDSjSCr7YIslYtBDrbKfL7GbupkPVZGURcTrav56M0ZFQHcdo221K8DCDOnaf0a9O+hRBiV9T14OxKutr5tJcEQKJFDoeDQYMGdXYzhBBCCNFBDJeDHudOoMe5Exot9w3Mod8vj+6w4yil6DmhPz0n9EfbGiscI1gZYfajn7FlzvpEEe4GU8j5e6cz7pdHkH9QXwDCW6uwQolhdqa3bUFKHdM02P+Ygex/zMBGy6tKaijZUEE0HuaWVxPLBh3Wj/VrwhCx8PldHHB4XyYc1Y+UQOPw615LUxmzSXUauEyFPaUnTz30OYtWlhF0OrFNE18s1qiIti8ao7TV2vWJbQeUljFoWylhp5Mqr4egy0m8bnbAWBxfJIo/GqXY52VSTzd3TO5FTqB9r4kQQggBEgAJIYQQQojdSBkKh89Fqs/F5D9MIVgWpGJDOXY0jjvFhSfdiz+/caFxT49Ah7cjkJVCICuFmpqa5LIp5+5Penr6Dp/rMhXZDeozGYbi4usP55R7v2X42s2UpXgJORzEDQN3ovoQptakh8KU+7zN7LE+KMqpCVLpcdOzvJKlXg9poXAySDItm7RQiJI0P/cc2YOz9mvvAEghhBCingRAQgghhBBij/Fl+PBltNo1Zp+gDEXK0cOYPcvkgHWbWNEji6DTiT8aS24TCIep8Lprhxw0U4uK2hpDLifZ1UG0UpR73PQvLsNp21R4PRx6QD53ntAb0+jewxaEEELsOgmAhBBCCCGE2Amn9nXzs8H9mdenFxNWrsUEapxOfLFE8erG08o3noNs+zhHaY3DtrENJ+V+HxoYkevh9skS/gghhOgYEgAJIYQQQgixE37S00WqWUOly0lpio+smiAVXg+WYeCPRBIh0PYFr5vhiltUedwowB+OoIGThqdx+3H5OE0Jf4QQnUOrxKMr6Wrn015GZzdACCGEEEKIfZHLVDxzoA9DazZlpiVurJWi2uOmKDVASYoP07IaTUe/PQX4I1EK0wJoID0c5t9n9OW+E3rhdcqtuhBCiI4jf1WEEEIIIYTYST/u4+H2wQ6qnU5Kfd76gV5KEXU40Kr2druZEEgDvnCUYn8K5T4v3miME4alc3BByp5qvhBCiG5EAiAhhBBCCCF2we/Hp/P0EenUZKdS43I2qvajANNuGv7YQNQ0Kfb7WJeVjmHbHJLv5ndT+uypZgshhOhmpAaQEEIIIYQQu+jUAT5Gqgxu++c6qt3uRnV/FOCwNRqNraDY72Or309qJIrSGtM0+NvkPI4amoaxg3pBQgixp2gUupkZDPdlXe182kt6AAkhhBBCCNEBhvRP59IfD8RbOxV8w34/dV/XuFyEHE7yKqvxRaIYaL76xUCOGZYu4Y8QQojdSgIgIYQQQgghOsikwwt46Or9GZHlIuwwk8s1EHI6iBsGqZEoDq2JOR3MuHAQPpfZ8g6FEEKIDiJDwIQQQgghhOhA/XoF+PM141hWWMNpbxZRajjAtglEYjhsG8tQDMpw8cbP+2Ia8nmsEEKIPUMCICGEEEIIIXaDofkp/HDZAF5ZXs20RZVURZ308xv89qAMRvTwdnbzhBCiVVolHl1JVzuf9pIASAghhBBCiN1EKcXpQwOcPjTQ2U0RQgjRzUmfUyGEEEIIIYQQQoguTgIgIYQQQgghhBBCiC5OAiAhhBBCCCGEEEKILk5qAAkhhBBCCCGEEKIRjULTtaomd7XzaS/pASSEEEIIIYQQQgjRxUkAJIQQQgghug2tdfLrmK1b2VIIIYToWiQAEkIIIYQQXd62sMWIdysIvFqeXNb37QqmfFpJ2JIgSAghRNcnAZAQQgghhOjS7vwhSI83K1lSZTdaroF3tlj4Xinnu9Jo5zROCCH2Ulp1zUd3JgGQEEIIIYTosh5dEeauJZFWt9HAgR/WsKrK2jONEkIIITqBBEBCCCGEEKJLClmaG+aH2rz9kR9X7cbWCCGEEJ1LAiAhhBBCCNEl/WlpiEg7yvtsjmh+tyDYqFC0EEII0VU4OrsBQgghhBBCdLSauObeHQz9as79yyL09BpcM9izG1olhBD7Dq0UWnWtojld7XzaS3oACSGEEEKILufJNRHiO9mR5zfzQkyeVckzayPEZap4IYQQXYQEQEIIIYQQost5dEV4p59rA+9vtbjg2yBZr5czryze6vZaa+aXx7lhXg1nfFnNbT8EqYxJcCSEEGLvIkPAhBBCCCFEl/K35SGW13RMAFMZhwM+qGLzjwL08Doojdo8uiLM31dGKK+dOb5JPLQJ/rgkwoEZJu8f6SfdJZ+5CiGE6HwSAAkhhBBCiC4jGLe4dv7O9/5pjgX0m1HFH0Z5uGlhuM1Dy74ts8h4vYJjezh4eUIKGRIECSGE6EQSAAkhhBBC7MXsuIX91Sr498foLRUQt1EjesHBA9HvzIdZSyEcS2zcPxvj3MPg0qMxvC5UNyx2efhHu2cq95AN1y/YuWDpo61xer5RwZqTUsnzmh3cMiGE2D107aMr6Wrn014SAAkhhBBCdAK7MoR+5nN0UTk6Pw2V4UdtLAOniW1Z8PpcWFkEcbvJc/X89fDf2U13uqYY+57X4Z7XsQE8Tjh2BOYdp2IM6LHbz6mzRW3N3Iq98/Y+rKH/jEq2nZKO39H9gjkhhBCdTwIgIYQQQog9yI5b2Jc8gZ4xv9HyDv+kVetEz6AZ87FmzMNympCXjhrXD+OK4zAO6N+RR9srLKywOrsJrQrbcNiHFcyfnN7ZTRFCCNENSQAkhBBCCLGb6BVF6DXboLgKq7gavlkJHy5utldPh2s0/EtB1IL1Jej1JVivf4+V4YMDBkCfLIxRvVA/GoeR7tv97dqN9sTLuqsWVGq+Ko5xSLazs5sihBCim5EASAghhBCig+kFG4jfNB2+W9PZTalXFwjp2n5GZUGY+QOQmPac3zyPNSQX467T0O/9AJUh1OjeGGdPQGUHOqXJ7RW29s7hX9s77ONq/ntICmcWuDq7KUII0TKl0F2tllxXO592kgBICCGEEKId7K9XYT/9GWwoQaNgYA+oCsOKQthYBtE4RJpMDL73aO3md/kW7J89nvxWv/Id9l2vQYYPeqSihvaEiSPRSzfDsiLom4X504Mxxnf+cLKYrbl2XrCzm9EmNnDWVzVcM7eGqwe5+fUQr9QFEkIIsdtJACSEEEKILkmXB6GsBnICKL9nx9tvrcQuqcF+chb63YVQEUyMKTIVpPmgIAuWbm4a7ny1cjedwV6kLAhlQfSyInjj+0arrKmfkqy8k5kCg3MhK5B4ncIx1OBc1MRRGMeNRJnNT4OutU4EZy7HTs9cdtOCEPMq9oExYA1sicBtiyLcsSjCSxN8HJHjpDiiyfWoJlPGr6622BbR9PYZ9PLKdPJCCCHaT/56dFNbt27l8ssvp0+fPrjdbvLy8pg8eTKzZydmFOnXrx9KKaZPn97kuSNHjkQpxbRp05LL6rZXSuH1ehk2bBgPPvhg4oZuB+bMmYNSis8//7zZ9ZMnT+bkk09uU7sb+vLLLzFNkxNOOKHJuvnz5/Ozn/2MgoICvF4vw4cP529/+9sO2yqEEGLvp+evJ/6zfxAfcgPxg+4gPvgG4ldOQ68rRsct7Je/IXbSn4kN+y2x/W8jduKDAMQPuRPruD+hn5sNJdX1BWUsDaU1MH/93t2zZ29QWgNfr4YZ8+HDRfDFcvS0z7DPeZz4yN9hz2k8JE5vrcS68xXig24g3vvXxPtfh/W7F9CbStt12LKozT9WRTryTPYoCzhtdpCcNyoY/l4lma9X4Hy5DOOlMrz/K6PH62UMfKeSQz6qovdbFUz+tIoF5fKzKIQQon2kB1A3dfrppxOLxXj66acZMGAAW7Zs4cMPP6S0tP6Gq6CggKeeeoqzzz47ueyrr76iqKiIlJSUJvu8++67ueyyywiHw3zwwQf88pe/JDU1lcsvv7zVtowfP56xY8fy1FNPcfjhhzdat2HDBj744ANeeeWVNre7zpNPPsnVV1/NE088wfr16+nTp09y3Zw5c8jJyeHZZ5+loKCAL7/8kl/84heYpslVV13VthdRCCHEXsf+cgXWTx9JhDZ1n0HEbfQr3xGf+QMMy4evVoGhwK7doLgCGNlZTe4+SqqxTnkYNes21MBc9KZS4if+GbZWglUbttVEsKd9hv3Kdzjevh41OK9Nu565JU503+r8s0Px2h/PsA3haON1H26NM+GjKr44NsB+6XI7L4TYPTp8dsq9QFc7n/aSvxjdUHl5OZ9//jmffPIJRx11FAB9+/bloIMOarTdOeecw1/+8hc2bNhAQUEBkAhVzjnnHJ555pkm+w0EAuTlJW7ULr30Uh5//HHef//9HQZAAJdccgm33HILjzzySKNwadq0aeTk5HDSSSe1ud0ANTU1vPjii3z77bcUFRUxbdo0br/99uT6iy++uNH2AwYMYPbs2bzyyisSAAkhxD5K2zbWr55O9Nyxt7vFs+zEkK6vViW+33692DMiFtajM3H85Vys659vHP7UsWyoDBG/8mmcM29q025D+0jx545iaYjY8Kvvg3xxbGpnN0cIIcQ+QoaAdUN+vx+/389rr71GJNJyd+nc3FwmT57M008/DUAwGOSFF15oEp5sT2vNJ598wpIlS3A62zbF6TnnnEMsFuOll15qtJ9p06ZxwQUX4HA42txugBdeeIGhQ4cydOhQzj33XJ566qkdDkerqKggMzOzTe0VQgix99GfLYeNpS2HO90rI9hr6Re/xl5XjP5ocdPwp45lw7x16AUb2rTPselmB7Zw32Bp+LLEYnmVteONhRBCCKQHULfkcDiYNm0al112Gf/85z8ZN24cRx11FGeffTZjxoxptO3FF1/M9ddfz6233srLL7/MwIED2W+//Zrd70033cRtt91GNBolFovh8Xi45ppr2tSmzMxMfvKTn/DUU09x4YUXAvDJJ5+wevXqZODUnnZPnTqVc889F4ATTjiB6upqPvzwQ44//vhmjz979mxefPFF3n777RbbGIlEGgVPlZWVAMRiMWKxWJvOU+w76q6pXNvuRa77vs1aVYTtNdsd9MQ9ZqN/xe5nLVyH7d7x623/sB5j+I6HgY1MgUPTbOa2oQi0Jk649msvFop9u5bO6ooI/T1t+8Ctu5Pf8d1TZ1x3+RkTeyul21KlV3RJ4XCYzz77jNmzZ/Puu+/yzTff8MQTT3DhhRfSr18/rr32Wq666ip69+7NCy+8wB133MEZZ5zBVVddRXp6On/961+TYU2/fv0499xzufDCC9m2bRu33norxx57LLfddlub2zNz5kwmTZrEihUrGDRoEOeddx5r1qxpUhy6tXYDLFu2jFGjRrFx40Zyc3MBuOqqqygtLeX5559vctxFixZxzDHHcM0117Ta3jvvvJO77rqryfLnn38en8/X5vMUQgghROcJh8PJ+obTp0/H49nxDHFCCNEewWCQn//851RUVJCauu8N06ysrCQtLY0XD70Xn6Nr/Y4MxsOc+eUt++y12VUSAImkSy+9lJkzZ7Ju3bpkAHTttddy44038u233/L111+zefNmMjIymg2A6rYHKCsrY9CgQbzwwgst9rrZntaa/v37c+655/Lb3/6W/Px8Hn30US666KI2txvgt7/9LQ8++CCmWf/JotYap9NJYWEhGRkZyeWLFy/mmGOO4dJLL+WPf/xjq8dprgdQQUEBxcXF3fKXR1cXi8WYOXMmEydObPNQRrHvk+u+b9NlNcQPuRNi7RsSE/eYfPznYzjmho9xhGU4ze5mXHgExo0nET/wDgi2MqTbaeKYfScqs+nEEy059pMq5pS3fg11uIbw+f0ByHhmJWHPvvs3vMCrWDApFUOpzm7KPkF+x3dPnXHdKysryc7O3mdDBgmAui4ZAiaSRowYwWuvvdZk+cUXX8yf//xnzjrrrEbhSWsyMjK4+uqrueGGG5g7dy6qDTcmSikuuuginnjiCXr37o1hGJx55pntanc8HueZZ57hoYceYtKkSY22O/3003nuueeSRZ4XLVrEscceywUXXLDD8AfA7XbjdrubLHc6nXIT0YXJ9e2e5Lrvo3qkY5x3BPrxD3eq3o8jbOGUAGj3cjtw/PbHqIAX85Kjsf88o/lrpRTq54fhyE1v1+5vGunnx1/U7GCr+tvfECbhffh2+M4xKbhdrs5uxj5Hfsd3T3vyusvPl9hbSRHobqikpIRjjz2WZ599lgULFrBmzRpeeuklHnjgAU455ZQm2w8fPpzi4mKeeuqpdh3nV7/6FcuWLeN///tfm59z0UUXsXnzZm655RbOPvvsRjOCtaXdb731FmVlZVxyySWMGjWq0eOMM85g6tSpQP2wr4kTJ3LddddRVFREUVER27Zta9c5CiGE2LuYt5+KuvBIUIBpgNNMTPnuMFC/PwV11sG1GzZzC2RIL4rdyuPE/PAWVMALgHH9FNQ5hybWOQxQiesEoH60H+Y9Z7T7ED/q6aIrV3KqO7cUE/413sfP+kj4I4QQou323Y88xE7z+/0cfPDB/OUvf2HVqlXEYjEKCgq47LLLuOWWW5p9TlZWVruPk5OTw3nnncedd97JaaedhmHsOG/s06cPxx9/PO+//36T2cba0u6pU6dy/PHHk5aW1mTfp59+Ovfeey/ff/89b7zxBtu2beO5557jueeeS27Tt29f1q5d2+5zFUIIsXdQpoHjgbPRvzoe+5XvoKQaemdgnH4QKieA1hp91iHYz3yOXl6EykjBOHIwEEedeTDK5YKyGvTMH6AqlAglLFtmENsVmSnwi2NwXHYMKtWbXKxMA8dfzkVfcjT29K/Qm8tQOamosw7GGNdvpw71bWmcfbkPl9eAXl7F2hpNnMQntf1TDH450IXPoSiNavr4DE7r5SLFIYGlEEKI9pEaQELspLqxsd11/GhXF4vFmDFjBlOmTJFuvN2IXPfuqS3XXRdVYC/ZBIs2Yi8rgvcXQul2Q41ctTOQtbMG0T4lLy3Rq6oiCFVhcDtQU/ZDXXIUht+DPWcNrNoKGSmocf1Qhw9p0zDwjvLTL6t4edMOZvUK18D5BQB4nllD2NP0Q6M9zQncP9bLb4Ykam3EbU1VXBNwKBzSM63DyO/47qkzrvu+/j6hrv0vHHZfl6wBdNYXN++z12ZXSQ8gIYQQQogdUHlpmHlpcMyI5DAcuyoEWyrB40Tlp6NMAx23sD9chP5yJbq0Cl6dA5G9dJrxus8AWwtoFKizJmAcMww1rj+qX3aDp+sm4Y45otfuaGmbLavaS1/rFijg8gEuHhvna/RaOgxFhkuCHyGEEB1LAiCxR1xxxRU8++yzza4799xz+ec//7mHWySEEELsGiPghYC30TLlMDEnj4HJYwDQD52Dffv/sJ/7AsKdHE5oXR/2aJ2ot+NyJAIqe7sO4aYBpx2A4+/no5qrlwR7tGdPW3lMA7A7uxk7pIDL+jt5cKyPVKeU5BRCCLFnSAAk9oi7776bG264odl13bHrnRBCiO5BuRyYfzoL4w9nwMYytAHa68I+5S+wYsseboyCNA/87FDM40ehjhiCqq3PpyMx9Iot6JIqjPQUGN07uW5fckovJ9+WtTK1/F7ADSw8IZXBga5crloIIcTeSAIgsUf06NGDHj16dHYzhBBCiE6hHCb0y6auz4zx4c1YF/wf+uMlHXgQICMl0aunqKLxuvx0jL+fj3nUsOaf6naiRvXuuLZ0kisHuLnth703AMp0waLJqeR5JPwRQuz9NF1vDoSudj7tJQGQEEIIIcQeprwuHC9ejV1WjZ7+FVSEUIcORh0xFP3NaqwH34bv1yYKSjtUYvhYvIWhTQqMS4/G+ONPk8OydFkN+ovlELNQYwpQA3P33Ml1ogy3SS8PbAp3dkuaOjnfwbMH+wk4976hc0IIIboHCYCEEEIIITqJkeGHXx7faJk6eCDGy9c0u701ewX2Pz+C1VvB58I4bAjq15Mx0nyN95GRgvrR/rut3Xuzj48KMOS9qt2y77ob5/ZWc5p9rJ9DsmTWKSGEEJ1LAiAhhBBCiH2EOWEw5oTBnd2MvdrgVAcpCmo6uJ+/W8GHRwc4IMPktC+rmVG04xgo1w2zj02lv1+GfAkhhOh8+151PyGEEEIIIVpx2yhPh+7vwAyT+ZNTOSzbgdtUvH1EgDnH+xnmb3k4159Huyg6OUPCHyHEPksr1SUf3Zn0ABJCCCGEEF3K5QPc3LkoTGQXZ4Qfmwr3jE7hxz1dTdaNy3Cy5MR0FlVYPLAsxNelFm4DTu3p5PqhXqn1I4QQYq8jAZAQQgghhOhSMlwG7xyewrGf1uzU868Z5OZPY7x4zR2HOCPTTJ4+yL9TxxFCCCH2JBkCJoQQQgghupxjcl3cNcLd7uelGHDbCE+bwh8hhBBiXyIBkBBCCCGE6JJuH+ljWKB9t7szj/KT45ZbZCGEEF2P/HUTQgghhBBd1osT/ATaWIf5yQN8TMiW6dqFEAJAd9FHdyYBkBBCCCGE6LJGp5nMmZjKkdmtp0C/6O/iov7tHzImhBBC7CskABJCCCGEEF3a4IDJrGNSeWycF0+DHEgBpoLrh7h5bLyv09onhBBC7AkyC5gQQgghhOgWfjnQw2nZ6eTVfn/3SC/nDE8j3yufiQohhOj6JAASQgghhBDdht9RP7vXpQPcpEv4I4QQzdJKoVXXmhGxq51Pe8lfPCGEEEIIIYQQQoguTgIgIYQQQgghhBBCiC5OAiAhhBBCCCGEEEKILk5qAAkhhBBCCCGEEKIRrRKPrqSrnU97SQ8gIYQQQgghhBBCiC5OegAJIYQQQoi9QuW2aorXllPz/Vr8lTWk9ckg48djUT53ZzdNCCGE2OdJACSEEEIIITpV8foyPpn6LZVz1nHoyrX0qgnWr7txOsEp+1Pwj59jmGYntlIIIYTYt8kQMCGEEEII0WmK15fx3E1vsW3eRnqXlrMpI421mWmUez3YgKE1/re/Z/H4e6gqrens5gohhBD7LOkBJIQQQggh9qh41AKtsSyb165/HWxFxOlgcc/cxAYqUaXTHY1y0NqN9CstJ6+kgnd/OpVx9/2EgQf16cTWCyFE96ABTdeqmqw7uwGdTAIgIYQQQgjRobRtQ9RCOw3UrGVYz3/JxqIa5rlSKDRdRDSgFO5olIjTCYpk6NNQxOnksyED2LS1mIPWbqB/STlvPjiLKdcdyZAJfff4eQkhhBD7MgmAhBBCCCFEh4gv2UzosQ+JvTWPWNzGjcYfivDJ4P4sy+tBnLpPkzXYNhGXq/UdKgVas7pHNmuzMhi3YTMAMx//koEH9MZ0Sk0gIYQQoq0kABJCCCGEELtEa03o0ZmEH3wHrRMdepxaY1g2WwIp7LexkHEbCwk7TJbn5rAoP5eY2cZSlLU9g2zT5Lt+BQDEQnE+f+57jrrwwN10RrvO1pollTYhSzPIb5DuktKbQgghOpcEQEIIIYQQot2sNdsIP/UZkTfmQkk1kKitkBzIpRRx08ATtyhJ8bIpPQ2tFDlV1UxetIx3Rw4h7tj5W9G5by9lvxOHkZYb2OVz6WhTV4e5+Ycw2yL11SZy3fDnMV7O6etGNTPcTQgh9jZaJR5dSVc7n/aSAEgIIYQQQrRL5NU51Pz62WQ1TZvaMj7bb6hUsojogt75oEEbikAozJAtxSzulbdL7fji+blM+c2Ru7SPjrKwwuKtzVHe3hzli1K7yfotETjv2xBXzw3x30NSOCF/B8PfhBBCiA4mAZAQQgghhGiz+PdrCV85DROF5TDRQGuDmwwgpyZIWjBEeYoPgCqPm6X5PUiMF9v5j2NXfbdxp5+7q7TWLK+22Ri0uGFBiHnlTUOf5pTH4cTPa/jtkBj3j03Zza0UQggh6kkAJIQQQgghdkjHLWJvzsW+/EmcyiDsStxGtjW+yWwQAKEUbYtLWmdFLcqLqkjP27PDwJ5fH+WuRSGWV+/8WTywPMqggMllAzwd2DIhhBCiZRIACSGEEEKIVllbK6k44++kLNmIqSHsNtvde8cytusnVDvD1y71AtKaii17NgB6aFmYGxaEOmRfv5gT4pAMk9EZzg7ZnxBCdCSNqp25sevoaufTXjIdgRBCCCGEaJa2bUJPf07FQXfhWbYZs67mj2G0L/xRisK0ZkIapXZpCBhKUXXry8S+W7Pz+2iHb0vj3NhB4U+dMR9U0/etMhaVRzt0v0IIIcT2JAASQgghhBBNREJRvjnr37z5n3l8NKAvLisx3Clqmu3ajwaW5WYT3YUZv1qzJKSoOvMfxL5atVv2D7AlZHHAzAoO+rAKvePN2219CEbNrMH7vzKeWdOxAZMQQghRR4aACSGEEEJ0ExVbqlj6+RrCpUFSM30MOW4wKeneRttEP11GzYNv821pnC2pqdT4PExavIIalxNbKfT2Q7laUDcl/JqsDOb06d3xJ1NrU2Y6Fes2YV//X7I+v7VDp1hfWB7nzsUhXtkU77B9tiZswwXfhblxQZjph6SQ6zXp5zPwObr3kAUhhBAdQwIgIYQQQoguqLo0yMIPVrBu3mbsuI1ZWsWI2YsZUFlFXR+eEBDVGrNHgPLzjsS5oYSU6V9iajg2FiNqGISdDjCMRA2furo9bQxZYkqxOT3QtkrRdfttb00grXl97HDyqqrxXfkSA88cR/7gHDJ6pe50GPTpthiXfVfD8urd0d9nx7ZG4dhPawBwKTitt5PfDXWzJaLp6TUYkWpidGDQJYQQonuQAEgIIYQQYh9hl1ajS2pQ2X6MjPopxOM/bCQ68weqNlVS4vOwOS+LJZ+txVsdxBm3sUyFLxLDF4uhgEqPm2W52WwN+FFaU1BawdgH38TUGk8sjmUYVHnc6NpAxgbWZmeyLC+HCq+HCavW0aesotVcRwEOrTl81XpGbN7KB8MHE3btoNix1vX/tjXgqK0jVJSWiqOohpIHP2JpXg6x3pmcMrE/Rx3Rp237qfXRlijH1YYve4OohukbYkzfEEsuM4CzCpw8e3CKBEFCiN1Gq8SjK+lq59NeEgCJZq1du5b+/fszd+5c9ttvv2a3+eSTTzjmmGMoKysjPT19j7ZvZymlePXVV/nJT37S2U0RQgjRDeiaCChQPvcu7Se6YD3Bm15i44YKluT1YGsgBWUo+g7IZNiGQtK/WEqpz0uV20WVx83KvB70CIUpTE9F2RqtoMrj4c2xI8itqGRLagAFiYAHKPGnsLB3Hj9asISMmiBWgzo/tlLMGjKADZnpKK3RSpEWCrepU0/dNumhMMctXcnbo4e1HOzsYpBho5k1dADvjBpKjTvxev+lUHPIc+t54cf55PsdLKiwqKyqH871+uYoL/9QTciyGZHq4Nw+DibuReFPS2zgvxtivF1Yzl/GenGaigEpJodmmSilmFEY5Y9LwiyrsvGacEpPF78a5GZ4auP6TYUhm2/L4phKcViWSbpLyoMKIURXJgHQLrrwwgt5+umnue+++/jd736XXP7aa69x6qmnovWe6Tr8i1/8gqlTp/Lcc89x9tln7/L+CgoKKCwsJDs7uwNaV+/oo49m1qxZQCKMycnJ4cgjj+TPf/4zffv27dBjCSGEEHuK1hq+XoX1jw+wFqwnVlJDVDV4M+1xgtOAcDwRCOWnY+QEMHLTMHpnQtzC3lxO3OtkTZ98Vq4sJVIWIq28iiEbiuhRWc38XnnMHz44GcIArFxdxgrlJWvEEHpWVoGCLX4/PSsqWZ2TlWibkdi27o5kS2piNi7dIHDRShE3DN4aM5xTv1+IN24lA5nF+T3YkJEGgNKaAdtKSYlG0bp2Mt02BDcGkBUMkVdZRVFaaqN1nmiUjGAY21Bs9ae0ucbQ9l4eN5rZA/uCUhi2zYFrN3L4yrXkVVTx37cMelRUcdjKtSztmZl8zhVzgoQ9iV5JH261+PvKyE4du7NUxuGSOfVFozOcEIxDZLvbz3+sivD4qgj3jHKzrsZmdqnFqmqboFW/jduAS/u7+PNYHx6zm39ELoQQXZQEQB3A4/Fw//33c/nll5ORkbHHjx8MBnnhhRe48cYbmTp1aocEQKZpkpeX1wGta+qyyy7j7rvvRmvNunXruPbaazn33HP57LPPdsvxhBBCiN1JB6PYF/8LPliEBqJOBzGHo344k1IQjkG4wXPWlWCtK6HB+2+q3C7eHzGEmk2bks8rTfGzesQQCkrK2JCVAVqTU1VDXmUVSmu2BvwUpvopCaRw2Op1pIYjxE2TF8ePbn9Pm9oQaGVuDqM3bwESPU2W5PcAwGFZHL94Bb0qKnHH45h24vzitXWCrB3MDmYrKCirSAZA7licA9duoF9JWXJa2rm981nYK2+negMds3w1i3vmUuVxc+GXcxi1eQuaRPjkiFuUpfh4c7+R/OvAkTCr3bvfJ5TFWl5nA7f+0HLAFbHhsVVRVlXbvH2EX4aWCSFEFyT9PDvA8ccfT15eHvfdd1+z6++8884mw6j++te/0q9fv+T3F154IT/5yU+49957yc3NJT09nbvuuot4PM6NN95IZmYmvXv35sknn2yy/5deeokRI0Zw880388UXX7B27dpG63dm32vXrkUpxbx585LLZsyYwZAhQ/B6vRxzzDFNjgPw5ZdfcuSRR+L1eikoKOCaa66hpqZxV2qfz0deXh75+fkccsgh/OpXv+L7779vtM2sWbM46KCDcLvd5Ofn87vf/Y54vL7L9tFHH80111zDb3/7WzIzM8nLy+POO+9stI8VK1Zw5JFH4vF4GDFiBDNnzmy0PhqNctVVV5Gfn4/H46Ffv34tXkMhhBCiJfZvnkV/tBiAqMMkVheE1NamaQsNfDhsIEGns9Hz6nrDbMjKICUc4UcLl3LC4uWM2VjI6M1FTFy6klMWLCEtFGZlj2wMoDAtgL2TvWiAZG8fgJDLScjlAqUYv3YDfUrLSYnGMO1E7x8FOGybQCSKK7aDmbI0ydDIGYtz4g9L6d8g/AHIraze6aFgmTUhLvn8Ww5fsZZRm7egaHyjawCG1pz79dyd2n93oIF3t8R5t2jPzHomhNi7aaW65KM7kwCoA5imyb333svf//53Nm7cuNP7+eijj9i8eTOffvopDz/8MHfeeSc/+tGPyMjI4Ouvv+aKK67giiuuYMOGDY2eN3XqVM4991zS0tKYMmUKTz31VIftu86GDRs47bTTmDJlCvPmzePSSy9tNOQNYOHChUyePJnTTjuNBQsW8MILL/D5559z1VVXtXjOpaWlvPTSSxx88MHJZZs2bWLKlCkceOCBzJ8/n8cff5ypU6fyhz/8odFzn376aVJSUvj666954IEHuPvuu5Mhj23bnHbaaZimyVdffcU///lPbrrppkbPf+SRR3jjjTd48cUXWbZsGc8++2yjUE4IIYTYEb2hBF75LlFnB4g4HDsVYGxOC1Dp9SaHa23PEY8zefEK0oOJ4T6JMCOxLhCOMGnxCsp8HoDEbF07SymK/SnM6dMrMY271qSEIxSUljGycCseK9FnqWEr6772xmIYtt3yroEyX2LK+aFbiwlEok3qCOVXVhEIhVE7MYTe1JqC8kqOW7aq1TY4rZbbKBI/W0+t3beGwgkhhGgbGQLWQU499VT2228/7rjjDqZOnbpT+8jMzOSRRx7BMAyGDh3KAw88QDAY5JZbbgHg5ptv5k9/+hNffPFFcpjXihUr+Oqrr3jllVcAOPfcc7nmmmu44447MBrcAO7Mvht6/PHHGTBgAH/5y19QSjF06FAWLlzI/fffn9zmwQcf5Oc//znXXnstAIMHD+aRRx7hqKOO4vHHH8fjSdyYPvbYYzzxxBNorQkGgwwZMoT33nsvuZ/HHnuMgoICHn30UZRSDBs2jM2bN3PTTTdx++23J89rzJgx3HHHHcljPfroo3z44YdMnDiRDz74gCVLlrB27Vp69+4NwL333suJJ56YPM769esZPHgwhx9+OEqpHdYgikQiRCL1N0SVlZUAxGIxYrFW+lyLfVLdNZVr273Ide+eduW62x/8gPYYoMEyFHH3zt1aFeakY5h2i/VvBpSW4zYsbI9Jc/GFiaagqpK4xyTViqJ2MNlW6xSL+/TAZ8cYu2kz582dl1hsQNTjaLH4swYMB0RdTYeCaRJDxdbkZ6IcMKCijLjHbHZfR6xbx4fDBhJ1mPVhWhtnBbOANCsCrZx/wxlgvFgopLfL9gqrdZf8PSi/47unzrju8jMm9lYSAHWg+++/n2OPPZbrr79+p54/cuTIRqFNbm4uo0aNSn5vmiZZWVls3bo1uWzq1KlMnjw5Wax5ypQpXHLJJXzwwQdMmjRpl/bd0JIlSzjkkENQDW6+JkyY0GibOXPmsHLlSp577rnkMq01tm2zZs0ahg8fDsA555zDrbfeCsCWLVu49957mTRpEnPmzCEQCLBkyRImTJjQ6FiHHXYY1dXVbNy4kT59EtO5jhkzptHx8/Pzk+1fsmQJffr0SYY/zbX3wgsvZOLEiQwdOpQTTjiBH/3oR41es+3dd9993HXXXU2Wv//++/h8vhafJ/Zt2w8dFN2DXPfuaaeueybw6MQOOX5rH0PESOUrBuxwH9tq/+3XAe0pJo0PGdEBe6rXq/bfhWcd3Op2PTv0qI2Fw2F4KfH1467v8Lg8u/Fo+6ggzJjR2Y3YfeR3fPe0J697MBjcY8cSoj0kAOpARx55JJMnT+aWW27hwgsvTC43DKPJbGDNpcJOZ+OPq5RSzS6za7tXW5bFM888Q1FREQ5H/aW0LIupU6c2CjPau+/ttWU2M9u2ufzyy7nmmmuarKsLbQDS0tIYNGgQAIMGDWLq1Knk5+fzwgsvcOmllyZmFdnuU7664zdc3lr7m2vv9vscN24ca9as4Z133uGDDz7gzDPP5Pjjj+fll19u9vxuvvlmrrvuuuT3lZWVFBQUMGnSJFJTU5t9jth3xWIxZs6cycSJE5v8rImuS65797Qr113PXoH988eARJHdao97p4aAbchI4/NB/VpcP2XBMtIi4RbXQ6KXTd2RK91uZg4fRMxhNqp3oLTGtGzijtYLNp88bwm5lZWNawVoWp36XZPoBVXtcSeLL9vApow0Fuf1oNRf+2GJ1pz+/SJcttXivmxgY3oqJX4/JT4v29L8rba3oW1+P1nV1S3WOYjE63vz/jJ6AGFD/oZv77mDffwo39XZzehw8ju+e+qM6143UmBfp6mfQbKr6Grn014SAHWwP/3pT+y3334MGTIkuSwnJ4eioqJGwUbD4so7a8aMGVRVVTF37lzMBjNvLF26lHPOOYeSkhKysrJ2+TgAI0aM4LXXXmu07Kuvvmr0/bhx41i0aFEy3GmruraHQqHksf73v/81er2+/PJLAoEAvXr1anE/27d3/fr1bN68mZ49E58jzp49u8l2qampnHXWWZx11lmcccYZnHDCCZSWlpKZmdlkW7fbjdvtbrLc6XTKTUQXJte3e5Lr3j3tzHXXRwzHzs9ErytG2Zq4FSNuGu0OgfoWlfJdfk/CTmezBSqrDQcZYavFUKNh+AOQGQ5y0vdLWdArjzXZmVimgcOyyKoOElWKQSWlfNu/T7P7Sg2F6bO1rJmD1H4Y00ob4k4nztq5zTRgmQZWDKw46Bg44xajNheRWhkkbprNvk5Bp5MPhw2kLMWHsm1QCt2W0RRaE3WYvDlsCBfN/r7Zm3xLKba66nvthjAJy+1wkgIOyzb5cW8fjhbqUXUF8ju+e9qT111+vsTeSopAd7DRo0dzzjnn8Pe//z257Oijj2bbtm088MADrFq1in/84x+88847u3ysqVOnctJJJzF27FhGjRqVfJx++unk5OTw7LPP7vIx6lxxxRWsWrWK6667jmXLlvH8888zbdq0RtvcdNNNzJ49m1/96lfMmzePFStW8MYbb3D11Vc32i4YDFJUVERRURHz58/nyiuvxOPxJHssXXnllWzYsIGrr76apUuX8vrrr3PHHXdw3XXXNRrG1prjjz+eoUOHcv755zN//nw+++yz5LCzOn/5y1+YPn06S5cuZfny5bz00kvk5eWRnp6+06+TEEKI7kUphfHEpSifC22oRCFkreungG8jQ8Oxy1bhsKxGBZDrvi7zeVu9adv+rboGtgVSWJ2dQXowSFZlFc5YnBGbt3D0yjUM2lrcYhtTQzvuadTcMg3EGvQsUoDbshlQXMqPFy7lzG/ncckX33L4qnWJQszNhD+WUrw/YjDltcWitWG0a8aWHpXV3PLOJ1R4XI0+ua77t9zr4anDD2jz/rqbM3o7mHF4oEuHP0II0Z1JALQb3HPPPY2GIA0fPpzHHnuMf/zjH4wdO5ZvvvmGG264YZeOsWXLFt5++21OP/30JuuUUpx22mk7XYy6OX369OF///sfb775JmPHjuWf//wn9957b6NtxowZw6xZs1ixYgVHHHEE+++/P7///e/Jz89vtN2///1v8vPzyc/P55hjjmHbtm3MmDGDoUOHAtCrVy9mzJjBN998w9ixY7niiiu45JJLuO2229rcXsMwePXVV4lEIhx00EFceuml/PGPf2y0jd/v5/777+eAAw7gwAMPZO3atcyYMaPNIZMQQggBoMb2wfjoFoxzD8NwO/BHorgbDm8yFLgd4DDA40T1CKB6pSeWAyrLj8rwkVUT4uQFSxi5qYiUcARXLE5OVTVHrFjDmE1Frbah4QDusMPB3IKefD6oH7ZpUprio39pOScvXEpBRSWBaAyXrSkoK0fZTeOcsLOFHjENghjdzKPG4242rKn7q+qJW/WzhLUQ6qzPTKfS69m5aXqVojzFR2F6KmmhxOvXo7KKrKpqsqpq+L53Hg9MOoLSlO5bty/FhIzajgmKxLXJcSnO7eNixYmpvDghQMAp4Y8QQnRVSreluIsQoonKykrS0tKoqKiQGkBdUCwWY8aMGUyZMkW68XYjct27p4687lprCMcSQY9Szda1S25r22BplDPRa0bHLbQC/eY8oq98CzEb88hhqMkjiU3/hvjSzdiF5djrSiBUPyZKA3Fg1pABBN0uKpqZTn7Qlm0cumYDNvWBTLnHzTujhhI3zMbb2zbnfT2XtHCk+eFeWtfW+zHQCuKG2XjGrpZeG8Adi+GOW1iGQdDdtMbMrMH9WZ+ZvnMBUANKa34y9wdSfE7cFx2B/+qJ4DAojmpeW1XGL0YmJs/wPLOGsCdtl47VmUwFo1MVVw/yck5fF0pp/rUqwtQ1MZZXW4QtcBlwSJbJpf3d/KyPC2MXX9t9mfyO754647rv6+8T6tr/5DEP4nN4O7s5HSoYD3Hxxzfus9dmV8mgZyGEEEKIDqKUAq+r8fctbWsYjfpiK0fttOg/GY/3J+Mbbeu85cfJr3Xcwl5bDLZG9cnE8LiIbS7ngPeX8O03myjfFqrfp63Jr6ikxu3iwyEDGL25iB7Vidlp0sIRjlixhjl9elGR4qVuIFl2TZAat5v0cKRJbaHakyLicBBpqadQK2rcbkp9Bj0rq5ud2j3WziFfQJOhbA6nwSm/mkCvgSejeqSizPoXOcet+HlfD7+o/X7+pFRqXAF6eAy8JszcEmdNjcWfloapjO1dxULP6+PkqYNSsG1NTCu8ZnM/X4qrBnu5anDXesMmhOgcWqldDuT3Nl3tfNpLAiAhhBBCiH2IcpiYg3IbLXP2TGfAhRMYcCGEKsNsXVMKGqzNZah/fkiPb1bgiceJGUbi4TBRShGIxzlofD59f3M8NWUhnF8tx3ftf5IzeNXdJtcFQZpEnZ6I2f7h0gpw2DbLcrN5a+wIRm7awujCLY22SQ+FKUxPbfkGvZnQqOH3h/5sP8ZOHoo7pW0zWPVwG6Sn198On1WQeN7ZBS7uWhRi2rq2VJ/evXq4FQ+O8XJ+v8REFKapkL4rQgghdoYEQEIIIYQQXYg31UPfsYkZMNmvJ0wZSTQUY9lX66jYWoPH0OR6TTw5fgrG9cFROwTNn+mDgROI5adhn/Voo0KRqsG/Dq1JjUSJGwYhpwPdjtp5ChiytYR5BT2Z26cnlmkwelMRhtZoBYO2FrO4Z24rO2j5k9v9pgzjoNNGt7ktremXYvLUQX7+tr/FoR9Wsahqz/UFcisYnqY4MtvJOX1cHJDp6NbDtoQQQnQcCYCEEEIIIbo4l9fJiGMGtWlb57EjsL67m9ivnsH8ZiXK1k2GginAadtYlkVEqXZNe++yLFKiUao8Hhb0zmdZbg59S8vwxOLUuFwYto3dzgkZBh5UwJHnj9/xhu2U6jSZPzmNJ9dEuXF+kIp4hx+ikYk5Ju8dFWh16KAQQgixsyQAEkIIIYQQjZh9szHfug6tNfayQtTRf0TH7eaLQu8ESxnJ4VwRp4PluTn1K3difpITrjkcYyeGpbWFqRSXDXBz2QA3/1kT5vzvQjt+Ujs4FAwPGPxhlJeTe7Vt6JoQQuwJdbM8diVd7XzaS+a7FkIIIYQQzVJKYQ7riXrxalBNb5xNu5maPK3QQLnXQ9DpwLTt7VbquoO2q40unxOne898pnlefw/rTgyQ59n1KMxrwFuH+4mdkcGCyWkS/gghhNjtpAeQEEIIIYRolXHkMPjkVuKT7seM1I+DMm0bi8SQsLZ8qqiAhb3ywDCwtGbCyrVsyEwn7HQQNU0qfd7mCz23YsQxA9t7Orukj99B4Y/TWVkV54nVURZWxslwwtIqzZxye8c7AAq8iuUnpuLZTb2WhBBCiOZIACSEEEIIIXbIGNkb5/q/UX38n2BpEVpB3DCwDANDa9C6SQikG/xrAHML8lmTnZlcH3eYHLt8NauzMvh8cP/Ewnb2ADrs5/vv7CntkkEBB38aW38rbWvNq5uiXPxtkMpWagUdkmny5uF+CX+EEELscRIACSGEEEKINlGmgf+jmwn/exahB2dAOIbLtokaBmU+D5nBMKbWhEyTwrREMWPTtqn0eFiRm0WVx1O/L62JmiY28EOvvHb3/AEYclhfnK6943bWUIrTe7v5cU8Xdy0K88iKMNVWYp1Dwf7pJg+P9XJYtkOKPAsh9glaKXQX+33V1c6nvfaOv5hCCCGEEGKfoJTC+4uj8Vx4ONHPlhH5v09gzlq2Bvy8M2IIOdU1pERjrM3ObDXQ0Uph2JrCtADlPu9OteW4Xxyyk2ex+7gMxR9He7lthIeFFRZaw+g0E5+je7/pEEII0fkkABJCCCGEEO2mXA7cx43EfdxItG0zbm0pC++cyTbTZFubdqCY27fXTh9/0CF9cPv23sLJXlNxUKbcagshhNh7yOBjIYQQQgixS5RhkDIgm1N/fzxun7Pxypamddcadyy+U9O+Axxx3videp4QQgjRXcnHEkIIIYQQokPkD87hosdOY8msVaybX0iwpIZt68rRDev71H7ti8VIcZtsa9vEWY0cfu440nr4O7bxQgghRBcnAZAQQgghhOgwnhQX+08Zzv5ThgMQDcWY/+4yFs9aRbAijDfVzeCD+3LwGWMwTMW/LnuJcFW05R02CI/Scv0cfs44Bk/ouydORQghujUpAt31SAAkhBBCCCF2G5fXyYGnjuLAU0c1u/7iR0/l+ZtnUL65qsm6lBQnp94xEXfAg+k08KXtXLFoIYQQQkgAJIQQQgghOpHL5+KCv57CpsVbmP/eckKVYdLzAow4ZhD5Q7JlynQhhBCig0gAJIQQQgghOpVSit4j8+g9Mq+zmyKEEEJ0WRIACSGEEEIIIYQQoomdm6dR7K1kGnghhBBCCCGEEEKILk4CICGEEEIIIYQQQoguTgIgIYQQQgghhBBCiC5OagAJIYQQQgghhBCiEY1Cd7GZGDVd63zaS3oACSGEEEIIIYQQQnRx0gNICCGEEELsdapLglQWV+Pxu8nomYrqYp9CCyGEEHuaBEBCCCGEEGKvYFs282Ys5auX5hMNxZPLM7K9HHHpwQwYX9CJrRNCCCH2bRIACSGEEEKIThcNx5h+2QuUhezGNSe0pmxbkDfu+5hJZ4xkxNnjO6+RQgghxD5MagAJIYQQQohOpS2bN37+NKXbhz8ADb7/6MWFBBdt2sOtE0KI7kl30Ud3JgGQEEIIIYToVBv/8BYbTXejsKcJpYibJv++80Neu+8jghWhPddAIYQQoguQAEgIIYQQQuwRtmWzZVUJm5ZsoaY8EeDoUJSFH64E3crnsg2CIY1i7feb+NdlL/PDhyt2d5OFEEKILkNqAAkhhBBCiN1Ka83C95fzzX/nUl0TAxKZzsCD+zDAjFPtdLbe+6fZncIH//wKX5qHAQdIcWghhBBiRyQAEkIIIYQQu9UXD3/Md19tSvbyyQiGSAuF6fGfNeSUlnO81tS4nCzvkc3SvB7EHGab9/3+Y7P5xb97YZjSsV0IITqSVqppXbZ9XFc7n/aSAEgIIYQQQuyUcHWERR+tZOvqUhwuk37792LAgQWYjvowZvHz3/Hd7I0AjNlYyIjCrbhsG0gU46y7FfdFY4zdWEj/kjLeHTmEqKNtt6nhqgj/+c0bnP+3U1B7yY291pqoDS6DvaZNQgghhARAQgghhBCiXbTWfPr0d8x9eykAgXCYQDhK0ZsL+LRfDqffPhGU4vu3FrHmtYU4HSZTFi0nLRxpNAOL2u5rBaSGwoxft4nZA/u2dHAygyEclkWVx03I5aKssIoZf/mUk647ajedcdssLIvxp2URXt0UI2RDlktx+QA31w91k+mSHkpCCCE6lwRAQgghhBCiVVXFNXz3wjzWzNlAMBjDshOjudJrghy8dgO5VTXJbauXr2bW0o2syc5MbORxc8IPy0gNR4DGoU9zDGBAcSnf9e1FbLteQAO2lbDfxkL8kSiQ6EG0MT2Vb/sVsPLLdWw9tYQe/bM68Mx3rCaueWBpiD8vjxC0Gq8riWruXRrmoeVhPjrKz6HZzj3aNiGEEKIhCYCEEEIIIbqxeMyicms1psMgNcePMhpHNIveW8YHT3yN1pASieJBU+3xkB4MceKi5Zi1w7nqpERjHLFyLU7LYnluDoFQGJdl7zD4acjUmrRQhOJA/a3q8MKtHLhuY5MeRL3LK+k1bxErcrJZf9o/cD99MWljerf/hWijqK1ZXGnxdXGce5eGWN+G2egjNhz2cTXD/YrZx6ViKMXz66N8XRrHQJPmVGS5DIYGDE7Id5HikGFjQojOp1Xi0ZV0tfNpLwmAhBBCCCG6ocjSQr7+30IWLSkmEkl0XTFMhcvrpGe+nxF+g1hNhJnLKnFYNqnhCLmVVSzNywFg3LpNmLbN9gOb6u6tD1i3idXZmVS5Xbw1Zhj5FVUcvnItbmu7bjItsBsEUe5YnHHrNyX3HzUNatxuHJaFPxJFAZnBGqrdbipP+Rvv/eQwznjoZAyj44ZdxW3Nn5aG+euKCCXRVqasb8WSak366xV4DAjbzW/jMoL8coCL8RkmDsPg6BwH+V4ZPiaEEGLXSQAkhBBCCNGNxJZspvKqZ5hfo/DG4gxyu1ic3wOtFLYF4eooq5eXsFopHPE4/liciMNBqd9HaYoXAE80Rq+KylZ79Zi2zcTFK8gKBjE01LicrMnKYMjW4iahUUMaCDkdlPm8yWX9i0sxtCbkcDC3T09WZ2di14Y7acEQ+20spHdZBTNHDMFh2fT7ZiVP/epVLnn89J16jZZWWjyxJsKKaptUBxyb4+D1whhvbI6zc9FPYy2FPwBRG/62MtpoWX+f4oUJfg7MlFt3IYQQO0/+igghhBBCdBPxhRuoOulh4spgP9smZihe2X8UKJV41EoNR9hvw2b6lJZjADZQ6XHjsizccYsyr7tNQ7qya4KNZvkaurWYqGm22gtIAYt65jWaqtcfiRJ0Onhv5FBq3K5G6yq8HmYNGcBBa9bjjcWodrtZmZtNvDjIp898x5HnH9Cm1yZq2Ty4LMKjKyMURRrHPM+uj7VpH7vLmqDmoA+reOoALxf0c8vMYkIIIXaKBEBCCCGEEF2QXViOtaEUleZF9Uwn+sI3hO55DWyNQyW6oEQcDgZsK2Vrqp8ynxfbMEivCSZr+9T11DGAtHAkGeY4rbb1g9l+li8A13bhj127TtceZ3FeD5bUDjOrE3Ga/NAzr0n4k9hx4vtv+/bGadlopbBqewd9/+YS1nyyksMOyKf3SaPw9G1aINrWmnsWh7h7cYRWOubsFS76LsRF34UYkKK4qK+LbI+J3wE/7ukizSmhkBBCiNZJACSEEEIIsQdorSEUBYeJcrX9FkxrDTELnGay54ddUo21cgt2NI7KTIHCCnA7sdeXEHt9DrF56yHUQq8VpZJhTEo0xoG1tXUihsGSnrn0LqtotbYPgC8WY6vfR3Z1sMXhXC3FEQ2XB50ONqen4o5bVLldrOyRTXmDoV+1LwCrszKJOB1Nw5+GmylF1OlIfl2nrCrGWx+vh4/WkY5F9KzxyXXzN9dw29QNDF23ifMMkxq3i6V5OYkeSMbeG6isrtH8fnGkwZIgPhP8JoxOd3BRPxfflMT5ttzCreCygW5+VuBCKYXWGhswt3sto7bGqZDeRUKIJI1Ct6uE/96vq51Pe0kAJNpEa83ll1/Oyy+/TFlZGXPnzmW//fbr7GYB0K9fP6699lquvfbaFrdRSvHqq6/yk5/8ZI+1SwghhACILdhA6PZXiC/YkAhyAPOg/vh+cwLOw4cQn7uO8DOfoz9dhqu0CjMYRTlM7MG5RFBEN5VDOAYuE3NgLnbMQq/c0uyxtp8hq+Hy5m55Gy5z2zZjNxa26dbYadts86eQXR1scd9t4Y3Fmde7J0GXs9EQtMaNVNS4XS2vbyulKNMmRa/OTy6a/rfZWP0H8fShBxA3TQCyqms4evkqPhvcP7lsXxC0Eo8Pt8b5cGu80bpPioOc+3WQcWkwvxLiGnwm+Awoqc0JNeBUcGaBk5uGeRmdtu+cuxBCiLaRAEi0ybvvvsu0adP45JNPGDBgANnZ2Z3dpKRvv/2WlJSUzm6GEEII0UToX58Quuf1Jsutb9ZQ9bPHcU4cSWzmItzxON5YvD5MsWzUDxvxAHG3K1HwOGphLdnc/IG0RmldH5JsF5a0NTppbTtbJT45NXUiZhpYXMrs/n3Yb2MhKbFYsu11Q7oaDf+ydWK6eAVxw0i2TwEjC7fwbd8Wpm2vOyel6r9usfGq8fO2X0biA6HMUH3Pmbf2G87mzLxkQWmAkhQfHw8bxIjNW1jcM7eVV2TfooE5FfXf1wVGDcU0TN8Q4+WNMWYc4efYHs492kYhhBC7lwRAok1WrVpFfn4+hx56aLPro9EoLpdrD7cqIScnZ8cbCSGEEHtY7MsVzYY/jbaZuQjDsvDEEj02tq+ZE3Q6sNvS80WpxLCnHYUkO2ljeiqz+/fhp3N/SC7zxC0OWL+JhT1zqfK48cXiRE0DfzjC/puKEs3SGm8kitO2k+emSdQeCtee27CibSzrkU1l7dAvfzhCQVk5Tsum0uNmXWY6ukFo1CYtbLt95aKS2rpHzT13SX4P3NEYEVf3CkEsnfgxOnN2DZt+lIbb7N7DJYQQoitpbRZOIQC48MILufrqq1m/fj1KKfr168fRRx/NVVddxXXXXUd2djYTJ07c4X4efvhhRo8eTUpKCgUFBVx55ZVUV1cn10+bNo309HTeeusthg4dis/n44wzzqCmpoann36afv36kZGRwdVXX43VoIBkv379+Otf/5r8fsWKFRx55JF4PB5GjBjBzJkzm7Rl06ZNnHXWWWRkZJCVlcUpp5zC2rVrd+l1EkIIIRoK//uTNm1nat3s1OK2gphpdkjw0SqtUbaNadlgN21JUaqfj4YOJOR0EN+uLo7bsjhgw2aOWrGGMRsLOWTNhmT4g9b4w5FG4Q8kgi13PI4vEiXkcBB2ODhlwRKOWbKCI5ev5tR5ixi/bhNjNhVy5Mq1nDlnIT3LKugI2786evvwp9FKTUo02vL6LswGSqKaVzZ17uxnQojOpVXXfHRn0gNI7NDf/vY3Bg4cyL/+9S++/fZbTNPkpz/9KU8//TS//OUv+eKLLxIFKnfAMAweeeQR+vXrx5o1a7jyyiv57W9/y2OPPZbcJhgM8sgjjzB9+nSqqqo47bTTOO2000hPT2fGjBmsXr2a008/ncMPP5yzzjqryTFs2+a0004jOzubr776isrKyia1gYLBIMcccwxHHHEEn376KQ6Hgz/84Q+ccMIJLFiwoMWeTJFIhEikvtt4ZWUlALFYjFhMbpC6mrprKte2e5Hr3j3truse+nY1eNpQR8UCp9n072jUNIk72xkAtZfWaKWodrn4YmBfFNCrvJIBxaX4al+P7wf0QjkBZbAqP5v+JaXNfoLorB0EFidxzu5YDMtttjizlgJ8Kk7cNIk6HSiXoldVFVaD18wm8WnlkevW8pFnENtSd33Id8OX04uFIt78dtiYJnhbWN/VORUsLA1zRn7Xebckv+O7p8647vIzJvZWEgCJHUpLSyMQCGCaJnl5ecnlgwYN4oEHHmjzfhoGMf379+eee+7hl7/8ZaMAKBaL8fjjjzNw4EAAzjjjDP7zn/+wZcsW/H4/I0aM4JhjjuHjjz9uNgD64IMPWLJkCWvXrqV370Q9gXvvvZcTTzwxuc306dMxDIMnnngiOdPFU089RXp6Op988gmTJk1qtv333Xcfd911V5Pl77//Pj6fr82vg9i3NNeDTHR9ct27pw6/7n88pGP3t5ul1f5bRR7zGywP1D4AtjKSrbuxDWtaWZdS+9hV4XAYXkp8/bjrOzwuT8sbt7KqW1gHM9Z1diM6nvyO75725HUPBoN77FhCtIcEQGKnHXDAAe3a/uOPP+bee+9l8eLFVFZWEo/HCYfD1NTUJIs4+3y+ZPgDkJubS79+/fD7/Y2Wbd3a/O3nkiVL6NOnTzL8AZgwYUKjbebMmcPKlSsJBAKNlofDYVatWtVi+2+++Wauu+665PeVlZUUFBQwadIkUlNT2/AKiH1JLBZj5syZTJw4Eaeze9V/6M7kundPu+u6V138BPGvWv67UscZi+OJx5sMT4qZBiFnK7NjdbCoYfLq/iMSNXG0xmHbHLV0FR+OHNJou6yqIIetWktKLJbs3WMAm9ICFKYFGFBcRkokSk5VzQ6LT8cNRY3HzYrsTAYWN9+zqKFX9htJxNm+29ftZymLxOt78/4qPI6gkd6u/XUnnxzlZ/+MrvN2QX7Hd0+dcd3rRgoIsbfpOr/RxR7Xnpm31q1bx5QpU7jiiiu45557yMzM5PPPP+eSSy5p1EVy+1/KSqlml9l28x3KmxuKpra7cbZtm/Hjx/Pcc8812ba1gtJutxu3291kudPplJuILkyub/ck17176ujr7r/wSKo/Wb7jDW2NM5KobdfwL5YDi5inNhJpSwi0iwWgHVj4qyNUeL2AIqYNit0+iCaGidUp9vh4Y8Rw8ssryQyGsJQi5DBZm50FhmJ5ZuJv6UVffEsg0nINHRsoTvVjRjVDN25rMnNYs20MW4R34vZV1w51U4BuMKIrok3CttGkFpDSiUrIrdYI6sJMBUdkOzioh7ezm7JbyO/47mlPXveu8vOlUeg2zyO5b+hq59Ne3fOvmtjjvvvuO+LxOA899BCHHHIIQ4YMYfPmFqay3QUjRoxg/fr1jfY9e/bsRtuMGzeOFStW0KNHDwYNGtTokZaWtv0uhRBCiJ3iOm4knl83P6wYQOWl4j53AtowCHoS9ed0gweAt611JOo+AGlDTb7W2NvdGJf4U+hXXIrarji0VorNGWn80DOX5bnZxE2zSXqzOD+3xfo/kLgJDdTOEGaw4/AnrlSiR1Q7aBK9jJLhz3brJy1ajqP2QyXDthPBT+123TX8ATggw+TlCR0x4E4IIcTepPv+ZRN71MCBA4nH4/z9739n9erV/Oc//+Gf//xnhx/n+OOPZ+jQoZx//vnMnz+fzz77jFtvvbXRNueccw7Z2dmccsopfPbZZ6xZs4ZZs2bx61//mo0bN3Z4m4QQQnRfvhtOJPDir3AcNwL8bvC5MAfn4vvD6aTPvp2U+84k8MKVqBPHUtMnh2hOKnafbOzemYRT3PVDwBr27FFAWoOeGVrjtCz8kUhyOvn20kC1y0WVp3FPV0Nrxq3bhNO2moRAdT2ODlq7EV88ngxP6szvnU/Q7cJuJtnRQMxQxA2jTZ/F2sDqnEwss+23rnVDv9Zlpifa0yuPanfjiR5Gbt6Cu/Y1sw2jvqfTHhp2t6d4DejpaXpOTgWjUhXDAwaHZJpc1M/Fe0f4+fLYAFlueZsghBBdjQwBE3vEfvvtx8MPP8z999/PzTffzJFHHsl9993H+eef36HHMQyDV199lUsuuYSDDjqIfv368cgjj3DCCSckt/H5fHz66afcdNNNnHbaaVRVVdGrVy+OO+44qeUjhBCiwzknDMI5YVDL6w8djPPQwU2Xh6J4N5SCy4Hqk4leX4quDGH0ysDI8qPDMXRVGJXmxX5nAfZf38W5cANWXBFzOJofEtbCMDEFLOqZ22Rdr4pKUmIxpixcylcD+lCUGkhuEwhH2H/DZvqVlpMWCrM8t/Ew6rDLyUvjRjNp8Qp6VdTXw0iEPwZBV319o3KPh9IUDwNKypvU7LGBkNPJ/N49W3wNm1Pq8zJj9FBOnbsIBYzdVETmuN6UDhoJryW2Gff7E7gg6Ocfq/bd6d5NwKr92gB6exU+U6OUwfgMB9cOcTO+to7PppDFv1ZFqYprJuY6OTG/awxTEUII0TZKt2X+biFEE5WVlaSlpVFRUSHBURcUi8WYMWMGU6ZM6TLjuMWOyXXvnrrSdbfjFvEvlhO8fwb2oo00GYNVFwDV/ls3zfrivBy+69u7PgDSGtO2Oeer71HKQBuKTwf1Y21mOsrWTFy2ityq6mRQo4FPhgxgQ0Zas6HTUctXM3pTUXIYVqWvvgfTquzM5BT0BWXljN1QSEYonDgfBYWBAF8O6kvI1bj3zvbqehVNm3AANR4XGzLSOHr5Gk5esAQUHH3Rgex34jBqamqSk0uUlZWRnp7OnLI49y8N805hjGqr1cN0urMLnDx3kA+lVLLOYXHEpjymyfMY+B1dq/dSR+pK/9dF23XGdd/X3yfUtf/vkx/B6+xatcBCsRBXv3fNPnttdpX0ABJCCCGE6CIMh4nrqOG4jhoOgI5bxBdsQFeFMMcUEF+0mfDPHwfLRqMo83v5cmA/Sn3eZHCjtEZpzTHLV6NNMxES1RZRRikywyHyqqobHVcBR65Ywzf9erOyR3ajotEO2yYQjjTb86jM6+GLgX0TbVWK9ZkZrM9IJxCJ4Ixb1LhdTF60nJhhtnredZ9mTjt0PEvzewBw+Io1nLxoGcOPGsCR54/Hm9rynO7jMxy8OCERCk1bE+GS74Kt1i/qDCbw1uE+TshvOiFFttsgu+liIYTYJVolHl1JVzuf9pIASHSI5557jssvv7zZdX379mXRokV7uEVCCCGEUA4T57h+ye/Nw4fgnHsPNaf9DeeSTfQtjeKyVjO/Vx5FaakY2qZ3WQVDi7YRiEQpykilMMXH/pu2kFNVw7rMdIwWOo+bWjNhzQb221jI5rRUKj1uNmSkU57iTUwtX9cmwLQsLMNgWV5OoldQoxpHiipPbVijNW+MHbHDmjwKWJ2ZTq/yKoZsLeGIYDknnDycoTechcPdvtvdC/u7OSnfyW/mB5lRGKM6Dt7aGtcVO1diaZcdlW3w5IF+BvhbD8KEEEKI1kgAJDrEySefzMEHH9zsOuliK4QQQuw9jCw/gVm3Elu4gdAtLxGYu55DV62rD1mUAq8L+9oTGPjLY1jx0CyiU99l4LZi5hbkU+FxYymF2UIQ5I3FGVhcynvDB1Oe4gWtWZuZzoDi0uQ27rhF0G2yOS21cfizvXYUYx5QWs6A0nLG/2QER5xzeJuf15wcj8GzB/ubLP+yOM7/rQ7zzuYY29o4QdvOynYpftLLyY1DPQwJSPAjhBBi10kAJDpEIBAgEAh0djOEEEII0UbO0QU437wObdvwyVL0skK024k6fiRGn6zkdif/fiJF++fh/NVTHLViDZ8MGcDqrAwGFpc2O52sDdS4XWxJTQQoKZEogUiEuGFg1k757rRtPNHdk6AceMqo3bJfgEOzHRyanTiva+bW8PeV7Sse7VG1w9UUpDoh1VRsCmliGgJO+GlvFw+P9eJzKIwuNhOZEEKIzicBkBBCCCFEN6YMA44dgTp2RPPrlSL/x2OwJ9yN86r/8OM5S1iRk02Vx01qOJLYpnZbG4ibJt8V9GTcuo30LK8kNRzBAMJOBymRaLJej8uy6F1WzrLcHmijhbCjrpdRG8OQXiN64PHvmWI4f9vPx6g0B3ctCrI53Pq2DgVPHODjgn5SqEcIse/QSrXeS3Mf1NXOp72a++BGCCGEEEKIRozsAGnTr6Tfgrs58taJxPvlUOl2YxkKDURNk2W5Obw5ZhgFlx/JhkNH8NbYETx/yDieO3h/NqWlUuFxE3Q6iJkGccNgROHWlgtytjP8QcGkXx3WEafatsMpxS8GuNnwo3Q+PsrPuHSj0fT1TgXD/AYPjfWy5eQ0CX+EEGIf9thjj9G/f388Hg/jx4/ns88+a3X7SCTCrbfeSt++fXG73QwcOJAnn3xyD7W2ZdIDSAghhBBCtJnyuvCcNJZBU8aw6psNfDpjKVvXlGA6TQYd3IefnjyS9LwAB529P9EFGyi68UUKt4XYkJGGJx4nIxQmqBRRp4OUaIwJq9cze0AflKa+J5CtoaVeQS04857JpPVoWrdndzOU4ugeTuZMTMO2bYqjieFdHlM+ZxVCiK7ghRde4Nprr+Wxxx7jsMMO4//+7/848cQTWbx4MX369Gn2OWeeeSZbtmxh6tSpDBo0iK1btxKPd9JMAg1IACSEEEIIIdpNKcWgg/sw6ODmb34BXGMKKHj3OrK/Wc2C//uS+S4XLivOgOJSfJEoMcNg0LYSsmqCLM3NoTAtgALSgyE2Zqa3sSFw1j0nkD80p0POa1cYhkGPlmebF0IIsQ96+OGHueSSS7j00ksB+Otf/8p7773H448/zn333ddk+3fffZdZs2axevVqMjMzAejXr9+ebHKLJAASQgghhBC7jVIK38EDOeTggVRsqWLj4q3YcQvvtjJmv/IDQxetJrc6yKFr1iefU+12tS0AUnDp/52OP8O3+05ACCG6KV376Eraez7RaJQ5c+bwu9/9rtHySZMm8eWXXzb7nDfeeIMDDjiABx54gP/85z+kpKRw8sknc8899+D1eney5R1DAiAhhBBCCLFHpOUGSMutnzX0uEmjmHnFC+R+vbDRdv5IlNyKKram+lst2HnUhQdI+COEEKLdKisrG33vdrtxu5vWaisuLsayLHJzcxstz83NpaioqNl9r169ms8//xyPx8Orr75KcXExV155JaWlpZ1eB0gGJwshhBBCiE4RyE5h0qOnYzua3pIeuG4jhm2jdPOf1+b0z2Ds5KG7u4lCCCG6oIKCAtLS0pKP5oZyNaS2+zBCa91kWR3btlFK8dxzz3HQQQcxZcoUHn74YaZNm0YoFOqwc9gZ0gNICCGEEEJ0Gn9eGsbVEwn95b1Gs2hlBkOcuGg53/TrzdbUQKPnDDm0L5OvPhxDCi0LIYTYCRs2bCA1NTX5fXO9fwCys7MxTbNJb5+tW7c26RVUJz8/n169epGWlpZcNnz4cLTWbNy4kcGDB3fAGewc+asphBBCCCE6lfeaiejjRwL19Rk0iRDogHUbcTaYOWXsCUOZ8psjMZvpNSSEEKLjaKW65AMgNTW10aOlAMjlcjF+/HhmzpzZaPnMmTM59NBDm33OYYcdxubNm6murk4uW758OYZh0Lt37w66OjtH/nIKIYQQQohOpRwmWU9eAo9ewKaCHmzz+9iYnsaswf15Z+QwYo5Ep/VeI3I5+qIDO7m1QgghupPrrruOJ554gieffJIlS5bwm9/8hvXr13PFFVcAcPPNN3P++ecnt//5z39OVlYWF110EYsXL+bTTz/lxhtv5OKLL5Yi0EIIIYQQQiilyDxlPzJP2Y81czfy/YsLKF5XhqEhtYefg386hmGH9+/sZgohhOhmzjrrLEpKSrj77rspLCxk1KhRzJgxg759+wJQWFjI+vX1M1n6/X5mzpzJ1VdfzQEHHEBWVhZnnnkmf/jDHzrrFJIkABJCCCGEEHuV/vv3pv/+ndtNXgghhKhz5ZVXcuWVVza7btq0aU2WDRs2rMmwsb2BDAETQgghhBBCCCGE6OKkB5AQQgghhBBCCCEa0dQX5u8qutr5tJf0ABJCCCGEEEIIIYTo4iQAEkIIIYQQQgghhOjiJAASQgghhBBCCCGE6OKkBpAQQgghhBBCCCEa0UqhlersZnSornY+7SUBkBBCCCGE2OsEqyKUbq3G6TKJhuNsXl2KYSoGjMwjKz/Q2c0TQggh9jkSAAkhhBBCiL1GZWmQd/4zl+Xfb0JvP12LAjQM2S+fn1x+MJ4UV2c0UQghhNgnSQAkhBBCCCH2ClXlIf59+0xqKiPNb1AbCK1YUMSzD37Kxb8/FsPc+0parq62eH59lKKwJtOlOL23k7HpctsthBCic8lfIiGEEEII0ek2rS7l9X993XL404C2NZtXl7J8XiHDxvfaA61rm7c3Rbj822o2RWtrTNTWmrhnSZiT8hz89xA/AWf3rj8hhNh3SA2grkcCICGEEEII0Wm0rXn1/77mh9nr2/dEBfM/W7NXBEAV4ThHvrmNdUFNhdeTWLjdm4y3i+L8+PMqPjkmtRNaKIQQQsg08EIIIYQQopPEYxaP3/xu+8MfAA2rF20hFol3fMPa4ZttUYZOL6KoKk7Q5UwsbOET5lnFFv9dv+MeTkIIIcTuIAGQEEIIIYTY46yYxf/d+h7Fmyub36BJBeim62PhOP/96+cd37g2WFJpcfwnlZzw9jZsW2MDMYejxfCnzjlfBymLWHumkUIIIUQDEgAJIYQQQog9asPSrTz8i/9RUlTdcmCiVOshUO3z1i4s4pm7PqB8W/VuaGnzllVZTPioks8KozhtGwXYbawroYH+M1oIvYQQQojdSGoACSGEEEKIXWZtKsOuCGH0TEPFbcLvLMDeUok5sAeeH+2HcpqsXbyVdx/6iGBllLDblQhxWgpOtN5hb5q69RuXbeOpW9/jgrsnkZkX6OAza+q6eUEqoxp/LIqtNZZpUOPcbkr6VtpfEYenVoe5aIBnt7dVCCF2liY5+WKX0dXOp70kABJCCCGEEG2mLZvyVcXEI3ECvdNRCzdQ9OC7rN0SpDiQgq0UnlicnuWV9KyowtSaimufZ01mOhiwv635ePjg1sMf2HH400DcNAjWxHjnyW8555Zjd/0kW7GhJs4n64JkRaNEHE5K/H60kWirGbfwxWJ44om6RJZShFxOQk5nk/O5eE6If66J8pexXg7Ndu7WNgshhBAgAZAQQgghhGgDrTXLnviC5a8tJBJN1LDJqA7Ss6KSJfk90IGUxPS6ShF2Olidk0lxIIXRG4soTA9QGkihJMXL+ox0FHWju9rQy2dHaoeKWYZi7aKtFG6qJL/X7plpS2vNuR+WkhaOUO5xE3LVBzuueJy0UDjRpNrtTa3xR6K44lZidrDtzvWbUovDPq7moTEerhvq3S1tFkIIIepIACSEEEIIIVoVXVvMt1dNZ3MEAsEQpmkQdLsp8/uo8HpwxeO4rNpaOEDUYRJxONjm9/H8wfsRdLvq6/nUhSBtGeLVVrUhkK3goQ838+fzd08AdP/CGlZsDRMzDELu+iFfSmtStwt/Gn7tsix80VjidWjG9QvClEY1d43yYnbUayKEEEJsRwIgIYQQQgjRolhhOSvO/TebPX6yqoOUBFKSYY5h2/ijUaA+7DAAd9wCDctzs7GM2jlHdqXWT1sohQbWLi6iqGYQeSkde5v7dUmc++dW4gGq6wKt2na7Y3EUjcOf7XljscQ08S2c6x+XRnhgaYRH93dzQJaLkakmblPCICFE59FKJXp2diH72vlcdNFFO9xGa820adPatD8JgIQQQgghRCPxYJSKWcsIvvcDNV+spMjhwhcOU+r3JTao7XHji8YS3273fAUUB1IS4U9rs3w12FdH9QYas2kLjz/yFXfdfHiH7K/O+V9W4rBsAJxWHE88hkYRcTpwWq1P665IDAdTWrf65iMGXD43AkQwgL4+xR9HeTizj1t6BgkhRDdUUVHR4jrLsvjggw8IhUISAAkhhBBCiOZZq7cSemIWwU+WEi+uptrlpCI7DXNADyipwbGqEAOIGwYxw6AsNVGfpuHsKaZtY7YyTXuxP6V9jdrVEKjB810LN7B6YSEDRufv/P5qRS3Nb78sZktxBLe2sQ2FJ24l6hgBbsvCbuvO2nF+NrAmqPn5NyGunhtixhF+DsqSYtFCCNGdvPLKK80uf/3117nlllvweDzccccdbd6fBEBCCCGEEF2IjsZhUxnaYRBfs4340iKUx4nruBHYSlF528s43l0AgIdEiJFCiOzyKjZvLUcrAwOwlWJrwJ8oXgxNwgvT1mhIBiGWUijA0BoFrff+2V5dL6CdDYG0xrA1KI1lGFimwVv3fcTFj56KP9PX/v0BwZjNlV9VMmNFFQpw17WT+h5PDf9trdWaRJi2s0MPSmJw8EfVGIBTQW+f4kf5Tm4Y6qW3z9ipfQohhNj3fPbZZ9x0003MmzePq6++mltuuYW0tLQ2P18CICGEEEKITmKHY4TmrSeyYita28SUgWNgDzwuE7VqC6T78BzQH0qqwevC6J2BahAiRFZvIzxvHao8hLukEt6cC6u2QjTOlkAKa7Iz0MrAHY/j+fP7BMIRelQHG7UhOWOVrelVUc2WVD8oRcw0mp25quETNRB2OoiaZn04onXieLEYMbOdIdAucFkWTsuiyu1CoQjZ8J873ufs244jIzeQ3E436LX0h6/LGF1gctqgFAKu+iBl7tYIU97eiq0bBzt1gVeTprdhfY2r+QLQ7WEDEQ2rajR/WxnlbyujHJxp8qfRXg7NduAyFOVRG0tDpks1+lkBCFuamA1+B03WCSHE9jSNe352Bfvq+fzwww/cfPPNvPfee1xwwQW8/PLL9OzZs937kQBICCGEEGI3seMW2z5fxdaPlhIrqcaT7afXmQfgK0in6I9vU/PeIojGgbpeNJBTVYMZiSaDhEqHgyq3i7hhYPvcqAwfTq8TY+02HKEopm3jjcaJUxs+aI0yDNLCEfIrqrBNM3nDGwhHWw0pDK3xRmPUuF2UprTecyZqGMTdLuzaqd/raKUIOxzkVlZRVdd7qL3a0xNIawytcVoWccPAYWu0SvRAKisJ8fh1bzP0iP6knzCKtdUWD39VmHzqy6uCPLehjJtml9E/3cX5Q7w8urCK4lDtoK7t2rCjXj4Ne0Q1VO12EXXuntvur0stjplVjaO2cfHag/f2wKm9XZyQZ7KuWvP0uhhflyVqFfX0wA1D3JyQ5+KpdVEWlFukOBSn9HRyZoELjxSfFkKIvcL69ev5/e9/z3PPPcePf/xjFixYwLBhw3Z6f9JntJvaunUrl19+OX369MHtdpOXl8fkyZOZPXs2AP369UMpxfTp05s8d+TIkSilGhWaqtteKYXX62XYsGE8+OCDjT5la8mcOXNQSvH55583u37y5MmcfPLJbWp3Q19++SWmaXLCCSc0u98PP/yQQw89lEAgQH5+PjfddBPxeHyH7RVCCCHaIripnC/Onsr8296g8MNlFM/bxMYPl/Pdpf/h4xP/wZIv1rHBl0KZ14OlFK64xYCSMlIbhD8AnnicnJogptZ4K2rwrttG+oJ1+CuD+GJx3HEL2zSwjdoeOLWhhdOy6VlRjWEnpmdXWuOJx5MBRZnPy9LcHOYW9GRBrzw2pwWIGwpPPI6lFDVOR+shjGE0CX+SlMJha3qWVdRP/94WWqOsNlfUSR7LE4liGQYxR6LNqnZ5XduWfraGfz7+Hb//qpySSH17YkpR4XFTnOLj27iTG+eFKA7rRs9tj7DDQYXHQ8ThIOowCbqclKT4CHVA758diev68AdgYxj+vjLKSZ+HuHJeOBn+AGwOw3ULIox4v4qHl0d4b0uc1zbFuODbIMPfrWR1detFrYUQQuwZQ4cO5aWXXuL666/nwgsvZNmyZbz++utNHm0lPYC6qdNPP51YLMbTTz/NgAED2LJlCx9++CGlpaXJbQoKCnjqqac4++yzk8u++uorioqKSElpWtjx7rvv5rLLLiMcDvPBBx/wy1/+ktTUVC6//PJW2zJ+/HjGjh3LU089xeGHN56xY8OGDXzwwQfJ4ldtaXedJ598kquvvponnniC9evX06dPn+S6BQsWMGXKFG699VaeeeYZNm3axBVXXIFlWfz5z39u24sohBBCtMCOxvnumhcIb6lKLKgLE7RuVBtHG4oqj5ugy8m49ZtRumkvk7rAJqe6hhKfl9RIYtr15Kd4dfsiUYfHURu41PXo8UeiVDboiaOBlTlZ9dO519bfWZ+ZTmFaKn2KSylP8aLVrn1OqLRmSNE2elZUMb93XiKcqX0N6jdqcLa1y01A2xqNToRabQhi4qaBbZgttwUYs6mIOX170XAAXKXXQ9RhJl8DbyzW9hNs5hgxh0nE6SDidIDWOOIWDssiRu3Uw3vhsCur9nLUxW4bQzaTP6tmyeRUHMbe114hhOhOYrEYWutW36NqrbHttn14IgFQN1ReXs7nn3/OJ598wlFHHQVA3759Oeiggxptd8455/CXv/yFDRs2UFBQACRClXPOOYdnnnmmyX4DgQB5eXkAXHrppTz++OO8//77OwyAAC655BJuueUWHnnkkUbh0rRp08jJyeGkk05qc7sBampqePHFF/n2228pKipi2rRp3H777cn106dPZ8yYMcllgwYN4r777uNnP/sZd9xxB4FAoMk+hRBCiLba8sny+vCnTl3wsX0IoBROy8LbSi/UumcEtusdtP1+NDqR6TRY7IvEEgGQUsRMk21+HyUNp3Nv8G+Ny8n3/Xo3bnNdgeaG27d0Ltu1J+JycsC6Tey/fjPlXg+F6QHihoFp2xSl+dmUnk7Y5awPf+z68GqH+2/QRts0aRqdNWZqTd/ScpZk+Ouf2uAYTsve6a7xmkTAE3HU31oHQmFMrQk7HbgsG7ROBEN7YQjUUFzDymqbtwtjnNJr9/dcEkII0bKOHqEiAVA35Pf78fv9vPbaaxxyyCG43e5mt8vNzWXy5Mk8/fTT3HbbbQSDQV544QVmzZrVbABUR2vNrFmzWLJkCYMHD25Tm8455xxuvPFGXnrpJS688MLkfqZNm8YFF1yAw+Foc7sBXnjhBYYOHcrQoUM599xzufrqq/n973+f7BYfiUTweBrXJfB6vYTDYebMmcPRRx/dZJ+RSIRIJJL8vrKyEkiksrFd+MRQ7J3qrqlc2+5Frnv3tDuue9EXK9CuHc0NVc8dt4l7Wu7BAmABtmnucMpxbdsYDTrZWKaB5U5EG+XKS2FWOrqZ4sxxA0LO2jf824cUGlxWnLRQhBK/j5zKGooDvkRvphYbonGYOnleaXaUtNKS5OrSdB+9aipZ480EEuFPw05HGtBGW2oBKZS141daAz4dw6Pqhzd5lYUicXPtIt5o3Y721bDwswYqvB68dc/XmrjXQVwplNao2qpAXmXt+nT3e4BDwczNIab02Lvb2V7yO7576ozr3mV+xpTa6dkL91pd7XzaSem2FGkRXc7//vc/LrvsMkKhEOPGjeOoo47i7LPPZsyYMUCips+1115L//79uf7661mxYgX/+c9/+Otf/8r3339Peno6f/3rX5NhTb9+/SgsLMTpdBKNRonFYng8nmSdnbY4++yzKSwsZNasWQB8/PHHHHvssSxdupShQ4e2qd11DjvsMM4880x+/etfE4/Hyc/P57///S/HH388AO+//z4nnngizz77LGeeeSZFRUWcffbZfP755zz//PP87Gc/a9K+O++8k7vuuqvJ8ueffx6fb+emmBVCCCHEnhUOh5PD26dPn97kAyEhhNhVwWCQn//851RUVJCamtrZzWm3yspK0tLSuP/kf+Jxeju7OR0qHAtx0xtX7FPXZu7cuTz00EMsXrwYpRTDhw/nN7/5DePHj2/3vqQHUDd1+umnc9JJJ/HZZ58xe/Zs3n33XR544AGeeOKJZKgDcNJJJ3H55Zfz6aef8uSTT3LxxRe3uM8bb7yRCy+8kG3btnHrrbdy7LHHtjn8gcQwsEmTJrFy5UoGDRrEk08+yWGHHZYMf9ra7mXLlvHNN98k6wY5HA7OOussnnzyyWQANGnSJB588EGuuOIKzjvvPNxuN7///e/5/PPPMc3mP4G9+eabue6665LfV1ZWUlBQwKRJk/aZXx6i7WKxGDNnzmTixIk4nc7Obo7YQ+S6d0+747qvmjabdc9/27TGTUufPGrNAes24rKsFnuy2EDMNHfY08Vh2Y22KQr4iToTf9vihkFRWtO/WRqocrta/2RUazJCYfIqEj1gLcNgVY8sLJqpbaM1/miUMRuLmrRXA1HTpMbtRAGL83oQdLnYGkjBNoxGnzZrwKqrQ9NK21LCEWKm2WJRag1UedxMP3AsdjSUXH5VeBxh6l+PQCiCQ9s7fI1toMTftB5iV6GAh8b6uKR/1xoCJr/ju6fOuO51IwWE2FWvvvoqZ555JscddxynnXYaWmu++OILDj74YF544QVOP/30du1PAqBuzOPxMHHiRCZOnMjtt9/OpZdeyh133NEoAHI4HJx33nnccccdfP3117z66qst7i87O5tBgwYxaNAg/ve//zFo0CAOOeSQZOiyI8cffzx9+/Zl2rRp/Pa3v+WVV17h0UcfbXe7p06dSjwep1evXsnnaK1xOp2UlZWRkZEBwHXXXcdvfvMbCgsLycjIYO3atdx8883079+/2fa53e5mh505nU65iejC5Pp2T3Ldu6eOvO59fzyW9U9/Q6MJwXcQAG32+Rm8remkBlBfq6Y6xUN6KNx8QKE1ChLToJN4E1/udWPZCjOSGDimsDHd8eaDEjN5pBbbqGMaR8RGAw5sBmwqYV1memKK8wZ1gVJDYUZu2oJzu6KUdcOlYl5Hcj+DNhUzY+QQzvx2Ie+MGka1x422bbSh0Ch03bCwhs1tcCxXLI4R1zhjcUJOZ+IIzRSX/nDEAMLaxNb1H/SEtEm4we1w1G2QGgq3WgtIA0GXk1AXvY1WgM+Ec/r7cDq75lAJ+R3fPe3J6y4/X6Kj3H777dxxxx3cdtttjZbfe++93HHHHe0OgGQaeJE0YsQIampqmiy/+OKLmTVrFqecckoyPNmRjIwMrr76am644YY2TQUPiWlrL7roIp5++mmef/55DMPgzDPPbFe74/E4zzzzDA899BDz5s1LPubPn0/fvn157rnnmhyzZ8+eeL1e/vvf/1JQUMC4cePa1F4hhBCiJd68NIZcXjuzZcOCyS39TVSKiMPJ1hQfNvVBSd0j7HBg1U5vHnGYyeV16ooQ1xVRjjhMVmelsyEjrdF2CkgNR2iOsvUOp2z31Na1qIsFPPE4Q7YW039bKXmVVeRXVNGzvALDtqn0uJPHrvvXMhSVXjd2be0gBXjjcf6fvfuOk6sqHz/+ObdM376btumdhIQQiqEIoRpQpEqHEJCq0pT6VZoigiCIqChI0whEiQr8kB6KgJgQAqGFhPSy2WzfnX7vPb8/ZnZ2Z1uySyCF5/16zSuZW849997Z3ZlnnvOc4kSSJQMq+P4rb3HwJ0uxs4WddXfZP+2KUVvZApkGEEynMT2v7Ty0xtSagOOw/7KVqI7np8g7Z9cwaAz4c/ego9brHt9JP9xZKvP42z4RCnbS4I8QYstptXM+diRLly7lpJNO6rT8xBNPZNmyZb1ub+f86kL0qLa2lu985zucffbZTJ48mYKCAhYsWMBtt93G0Ucf3Wn7XXbZhZqaml7Xufne977HrbfeyhNPPMEJJ5ywRfvMmjWLm266iWuvvZaTTz45b0awLen3008/TX19Peeccw5FRUV5bZ9wwgn86U9/4vvf/z4Av/zlL5kxYwaGYTB37lx+8YtfMGfOnG6HgAkhhBC9MfyMaQSKgyy540WSTodwQodARCSRxDEUK8tLqSqK0K+xBb/noZUi6vfhKkVxLE5xPEGj30djMEBxLIHtujimQWMggOF5OKaBY2amNTfIzBqWO2S7YyUsq232rWyhYr/jkLC7eWuYzS4qicU7rVJAJJUiksoca2NBGK0Ua8uKqQ8FGdjUjCIz/Mw1u/7u0e84LBw2mLRh8snAfqS3YNhXa0AtFvATSaYwtcYAAq6Ldt28Qs1AZkr5DsKJNAk/effDMwwSlkUone5yBrT6UDAXwNoZlNrQ7EDAhOMH+7h8bIBJRfJeSAghtgcDBw7kzTff7DS50ptvvsnAgQN73Z4EgL6CIpEIX/va17jzzjv57LPPSKfTDBkyhHPPPZdrr722y33Kysp6fZyKigrOOOMMbrjhBo477jiMLXizNHToUA499FCef/75TvWGtqTff/rTnzj00EM7BX8gUz/o5z//OQsXLmTq1Kn8+9//5uabbyaZTLLbbrvxr3/9iyOOOKLX5ymEEEJ0Z8BRuzHgqN1oWbSaqqcXE6uJoiN+PMcjvbaedG0LbkuSWHGYooFFFA0oxO+zIJaAwgCBURX0O2o3vFiK9Oo6Um8upfCdFZSYCqdfMQ3rG4l9sgEj1TZ7lVKZqbw9w8BTClNrLC9T18ZRirRhUN7cQsJn0+L3kzYNDK0piieoiYSJ+ey2hiAXAKmsb8wNL/PIZNx0CqlojW5XE8ixjMzwsM1IZ798WTx4QP6xNycboIn6fRQkkrn+qHZ9KzCgfHgJz0yYiO0aqHaT8wRdh4qWGI7Pol/E5ugRAWaNCvLG2jgLq5M8tyZOQ6rd4cgG0razmbz2KDb5+aQAfkPRz6/YpcjizZo0ty9JsKgxU1dqXIHJoIDivQaXpIbdi02uHBdkogR7hBBiu3XxxRdz0UUX8eGHH7LffvuhlOKNN97gnnvu4ac//Wmv25NZwIToo9bq+DtSBXmx5dLpNM888wxHHnmkjOP+CpH7/tW0s9x3rTWqNfBS04JT3YRZHMLsV0hsVS1uMkXtU4tpenIRgbrmzE4dghgeUBMJUxsO4VhmpphzMkVFczSX4QOwKRSkLBbH6BAIaR36VRcO5YIzgxqaMLMZRF10GoCacIiXJ4zpaostFkyl8LmZmkOt2T+HXbQvEw4anbddNBolEokAsGpjLUVFxRT6VO7atZdwND9f2MgfPmjOLWsI+ElZVo/1nLpctxWDRgrYr8xkz1KL80b62KVQvtPdEjvLz7ronW1x33f0zwmt/f/F0TvnLGBX/2vHmgXsz3/+M7/85S/59NNPARgzZgxXXHEFZ555Zq/bkr8WQgghhBA7gfYBDKs8glUeyT2PjKoAoGhCJfrKbxD7cD0Nv59H86ufZKI+2eCEAfRvaWF4TR0Jy8KxzEyQp4OKWBzDdQml0tlhXQrD8zC1xnbdTAAo0ykaQgHKW2K55znZdm3Xo7KphYJ4guZgH6dk1xrHMPC5mcLSjlIcdMG0TsGfjgp9BkX+7jOUA5bipr2LGRY2uGxBCwHXxXZdUt18iDSyRa9zpa9bh5Aphel5uIbRpyCQCQRNKPEpThvq43ujAwwO7TzD0IQQ2ydNphj/zmRHPJ8zzjiDM844I1dbt6svLLaUBIDEl+KCCy7gL3/5S5frTj/9dO69994vuUdCCCHEV5NSivCulYR/ezqQyRzSaZfUsupMUeWhpTTc+C+sfy2EWBIwSNgWadPMK56pDQMDMN38mb4CjsugxibWFxdlhoQpA9vzcAyjU0Fqy/UwyGTsDGhq6XsAiEyNoajPxs1OJT9q8qA+t9XRORML+eHiOCrmEko7RP1dZPNkh9EZnkfStknYFp5SGJ4mmE7jdxySltWrcxwZUvz5a2H2LZdsFSGE+Kr7PIGfVhIAEl+Km266iR/96EddrttRUu+EEEKInZFSCuWzCExoC5iU334y3k+PI/7+WhqeeZ+S+1+mJhJBo3LFlLVSJGyLYNrpVHC5rCVGKJmiPhQkYdsYOpPpk5nOHtBbeSpapdBK4WSfDh1XTnF5uMddeuvqyYXcMr8ev+t2ud7yvNy096F0OlNEuoOA49CiNXozb+IN4CcT/NwwsXcTcAghhNi5jBw5ssdZtVesWNGr9iQAJL4U/fr1o1+/ftu6G0IIIYTYQkbQR/hrIwl/bSQfFxVg3ftip1mxUlYmy8WfdrBaU9O1JpBOU9YSY2h9E55SrCsuzASaoMv51RVQVbD1AjbHXbjPVmur1ZW7BPi/DwKoeKb2kdchiGN3MfNYR61ZT2mrc+FlA9ilQPHdkX7OGxkgZO14wxSEEEJsXZdeemne82g0yjvvvMNLL73UbYJFTyQAJIQQQggherTL5YewcZf+1N70JGZ9NDMULJvJ4pgmadPE9DwGNDTjdxzahzcMrQklU8T8vi7r33jA6tJimkOfs9BoNgA1avIACku3ftFSQymmlVm8WRvE8HSfizrrLnapDMDqbxVjbEcziwkhhNj2Lr744i6X/+pXv2Lx4sW9bk+qxwkhhBBCiM3qf8SuTHjrWka8+EMG/vJEIrsPIZekYhmYEwbBDcfhDSgGMoEdL7s+nEySyE4H35oApLOPFr+fN0YP+1x9U1rjczJDsw4/bcrnaqsn104IglJ4ZudizinL2mxpUY9MraL2BgVg6ZFFEvwRQmx3tNo5HzuDY445hn/84x+93k8ygIQQQgghxBbzDS7FN7iUom/t1uV6fd6B6HkfE/3LWzR+upGNadhQVECxz2BwkY+WT6owk2nits1n/cpYVlGKZ/TxO0mtMbQmnEzhGAZDxvanYlDR5zi7nh0xwOKYQTb/XN+5vo9rGCRNE5/rdhkI0kDMl58FdVC5ycsHSS1EIYQQvXfssceSTqexu5mZsisSABJCCCGEEFuNMgzUIRMpOmQiRcDQDuvjLUmee2A+H7y9Bs/sXAtni2WHYPlTaRSQ9tucdOl+n6Pnm2coxZx9wpz+dpQ5azsHgZqCAYpjcWzPy9UDav03YVnEfG1v0i8Z7eeOKVt/qJoQQoidx8MPP9ztuunTp/cq+AMSABJCCCGEEF+iYMTPMRfvz6GNce6+/P/hpL3N79RRtt6PP5XG8jxiPptTrz2IUEHfp5HfUraheGxamI+eb+SDpvyK1lop6kNB/I6LP53G0BrXMEjYNul2w8Zemx7h6xUytbsQQoieXXbZZXnP0+k0sVgMy7IIhULMnDmzV+1JDSAhhBBCCPGlixQF+e6NhxEI9SEQkg2keIZBc8DPMZd+neHjv7zZRpVSPHtAIaPCXbyVVoqkbdEUCtIQDtEcDGRm/cr2+dG9QxL8EULsEDRqp3zsSOrq6vIezc3NfPbZZxx00EH85S9/6XV7EgASQgghhBDbRL/BRfzg9iMZOKKk9zsrhRe0OesnBzNhr8Fbv3ObURk0+OAbhfxu98AWf5yYXKg4eZj/C+2XEEKIndvw4cO57bbb+OEPf9jrfSUAJIQQQgghtplgxM9Z/3cQIyb0LoPHsg0u//VRDB1b8QX1bPMCpuLC0UHeOLhgs3UVAgbMmy4Fn4UQQnx+TU1NrFmzptf7SQ0gIYQQQgixTdk+i9OvPJDlH27kxcfeY+Oaxs3uc8L39yUY2T6yafYps3jjkAJOfKuFVTHdaX2ZT/HK9AJK/fLdqxBCiC1344035j3XWrNx40b+/ve/881vfrPX7UkASAghhBBCbHPKUIyaNIARE/vxpxteZMPKhm63Hbv7QMbuPujL69wW2LvUYuU3i3lmQ4o/Lk+xIupS6jM4rtLmzOF+iuwdq+6EEEJolXnsTHa08/nXv/6V9zydTrNy5Ur2228/HnrooV63JwEgIYQQQgix3TAMgzOvOYgnfvcWy96rylunFEybMZZDT95tG/Vu844c6OPIgb5t3Q0hhBA7gYULF3ZaFo/HOfvss/nb3/7W61nAJAAkhBBCCCG2K/6gzak/PID6TS18vGAtzXVx+g8pZtK+wzAtGUYlhBDiqysYDHL99ddzxBFHSABICCGEEELsHEoqIux7xPht3Q0hhBBiu7J8+XIaGzdfL68jCQAJIYQQQgghhBBCbGdmzZqV97y1CPS8efM477zzet2eBICEEEIIIYQQQgiRJ1MEegermrwZO1oR6I5ZPoZhMGLECM4++2xOOOGEXrcnASAhhBBCCCGEEEKI7czcuXO3antSRU8IIYQQQgghhBBiO1RTU8PChQuJxWKfuy0JAAkhhBBCCCGEEEJsZx5//HGGDBnCXnvtxfDhw3n33XcBeOihh5g9e3av25MAkBBCCCGE2Ko8xyX24odU/eQfLPvRHD695Vk2Pf0+8Rc+JPHih7ibmrZ1FwH4dFOCmqizrbshhBDbJb2TPnYk1157LRdffDGrV69mxowZ3HjjjQAMHDiQu+66q9ftSQ0gIYQQQgixVbgJh5WX/BX9yieEkilKYzHKPU3UtkjYFg2miaegKRjEmDqMwgsOpt+04Zjml/OdpKc1jy/clHv+vb+vJB6oI2Cb7NLPz5m7l3LwqAJMYwerEiqEEGKntGHDBi644AIqKys5//zzOe200wAYN24cS5Ys6XV7EgASQgghhBCfW+3ry/j4qifwXA1FBaAUyvUoicbwDAPHNHEMRcqyqA8F0WujqP97koTPJnT07hxy9l4EgvYX1r8NjSnO//NSquqbc8v8noeRSpMA3l0f590N69l3aIjfHDUYvyWJ8kIIIbatqVOnsnjxYkaMGEFFRQV1dXUAVFdXEw6He92eBICEEEIIIcTn0rBgFR9e8XfwNCiVCf54Hv2bWyhKJDF1Juk+ZRo0BANYnkfUtmgJBjAcF2fO2zz178Uc+vsTKRlSstX7l0h7XPDIEqqjbqd1htaEkinQmpjfx6trE5z299Xc863BDIjIW2UhhBDbzjXXXMMPf/hDmpqa6N+/P57nMX/+fC677DIOPvjgXrcnf9WEEEIIIUSfacdl4w/+wsiNDdiuS9o0qA8GKEqkCDoOCnCUIu6zQUNFS4y6UJD1pUX4XA8NpC0TlXJ44ezZjD5mMrtf+HXUVhyG9eziWqpjHkrltxlMJokFg3hK0b85yvBV66gJB1ndVMzRv2vihN1LufzgSkxThoQJIb56tFJotXP9/tvRzufb3/42ADNnzswtmzZtGkcccYTUABJCCCGEEF8eHUvSPOOXDFxVjQYUEHAgmHbwDAPXUKwsK2FjYQTPyAypshyXtGliux5k99GAB2jD4JMnP2DJy0vZ69LpjP76qM/dx3g8zR+fWg5+P7br0b++MbeuoiUGcWgM+KkNBxle10BZNE5pNM6KsmLm/SfKvDfXcekxIzl8t4rP3RchhBCiN1pn/Wrl8/kYOnQooVCoT+1JAEgIIYQQQvRJ3fkPYS2rRpEJ5LT4bKoLIvRrjmJozfuVA4j6fQCEkils1yNpmcRsC5UdFqaVwjWMzNCx7DIvmuLtn7/Ax5M+5Fu3HtUpc2dLOY7L9de+TLKkFMvzGNTYhOfmDwNTQFEiieW1BaQABja18Gn/ckzP484nlhGNpTl2n0F96ocQQgjRF5MnT96q7UkASAghhBBC9Fr1f1fge+lDHJUJ/zSG/MR9PurCQSobm1lXXEjU76MgkWRQQzP+doEXDQSTKWzPoz4UZFVZMZsKM4WjoS0I07R4PS/fPo9DruhdnQOtNauX1fLIAwtpTrn402lCqRSG1l1OAayASCqNYxhY7frUHAy0NsgvX93I80sa+cVJYygKyltoIYQQX7xXX311i7c98MADN7uN/PUSQgghhBC9tuGavzPYUBQlkigN2lA4pkX/5mimxk9xAUWxOEPrmzrtq7Qm4bMxUmlKYnHKYnGWVST5rF953nYaWDfvU6qPn0y/keWd2unKgueWsPR3r7HB9rN6UH8MpSiOxdGGQU95RBpo9vtIWSZLBnQY7qUUCdtm/qY0Z970JiE0I8uCXHjaBAYPjGxRv4QQQojeOvjgg9FabzYTVmuNl81k7YkEgIQQQgghxBZxEg6fvfwpS+96iTQ+qodWMnpjLQm/TdznywzhUoqU6TG4roFIMp0puNnxjWt2uFfctilIJgEYvamO2nCYhnCwbTPA1PD0NU9z2gOn4g/7euzfE799i8LZ/2F95QDWlhZTkExSFwpias3m3xZDyrb4tF9ZWx879NkzDNaXlWC7HhuSDst/tYCxwws5/ISJ7FZqE7Fl6nghxM5DZx87kx3tfOrr67dqexIAEkIIIYQQPdJas+I/K3jz92+QaoxjWT6UBS3BAFXFRYSSSQY2thBwHNCaAU0tmJ7XNoSqK0qhFbjZYVceMLSuPi8A1Cqe8PjwuU+Yelz3tRAW/2Mxeu4CorbF+pIiDK1p8dnYrouJItFaZ6gLHhD1+0hYFp5S3X/TqhQuEHQcHKVYVVZMcm0zL/3pQz4aVsk3Bvm4b/8iCQQJIYTYKgoLC7dqexIAEkIIIYQQ3dr4yUZeu30eTVXNGFpjd1FHJ+bzsaK8hBE1dVQ0R/E7DinT3KL2vWysxQCK4olO6zUQdNK8Oud9mrTB8AEh7A/WUNuQ5D3to2pTDDY2kvJgsuPwfuWAzKxiShFMO5ieh+V5NOggLf78DKLaUJDmcDExn4022oI2SmtMz8tb1rYyMy2yrTWe61JVVMCYjZt4f8ggnl6bZOijGzlJN3HshCIO2K2CgG/LroMQQgjR0cMPP9zj+pkzZ5JMJnnsscfyporvjgSAhBBCCCFEHh1PkfrnQtb87R3ea3Ax0RAKYWaDP53yY5TCAzYWFjByUx0Aht6yRHuj3WZp02RTOEQgncZ2PRQaw/NQSlEQjRP82VwGrq1iVVkxT+y9O45hoA0FPj9ozVujhuEAeB4KsLTGyvajKB4n5rPx2oWvmkIBYgF/5/MHHMMgmHZIW2ZmGFs7PtfFy9YUMj2PpmCQfk3NbCwqJK0Uc1Jhlv+/VTz64ipuOmcSQ/r1bbpeIYQQX22XXXZZt+u01sycOZPm5mYuu+wyCQAJIYQQQogt1/LRBmqfWUzib/9DNURpCAYIh8OsKS3G7DBNeidK0eL3YXtuJvjieSjP67oGEIDWuQAKZIZhfdqvjJRlkrbM3HGU5xFKpenX3ELAcWny+5m99xQc08gLzCjAdF1sQLkuGnCVImma2f5oBjQ2s6i8LZ0+ZXSTnZOtUZQyDYKpNHGfnVvmc1xCqXRmenulMLUmblv4nOwsZ56H6bmsKSwgWFPLpb9/j8jXRoKh2LO/n1PGRigPSlaQEGL7p7MZjzuTHe186urqNrtNeXn5Fm0HEgASQgghhPjKclqS1Dz7ATXzPqX5vdW4STcbmFGowgJcpVhZUYpjGISTqVxmjKcUCp3N0mlHKRxl4NOZ5eFUmpaAP1ccOif7PJBKocgEf1r8Nh9WDiAzqXy7TZUiGvDTf10Vu2yo5qXxo7Mr2jZUWmN1CFBlCkhrQo5D3LJIK4VrGES7yPjpUnZ7ANt1SWeHtBUmErllKcvK9lfTGPBTHI0RSaYyw8Qsk7UlxRTHYqx7dz1J26K5roE30w6OZbKxvJj1JYXEDRPLUAyJWFywa4RTx4QxdrAPKEIIIb4Yq1aton///gQCPdTU6wUJAAkhhBBC7OS05xF9azkt8z7BrWrACvlwBxaz+h/v4cXTuUFRBpnaOTHbwvY8LNdj1/VVvD9oIGnDIN6xVo7nEUqlCDguJbE4gbRDS8BPcSyOQWaoVCSRJOqzO2XrBFIpbDczICtm2zw1eUJuXZ7sfm+PGMKn/StoCgYoiSfRQNIyafH78oab5QJU7YJCfschatvUhzoXmO5R9ttvy/VwTJOSaJyAk8kuMry2Y2oPQmknc7zW81SKqN9H1O9jSH0DCc8jatvUhkOsKi0h4bOzY800jtIsrU9xxet13P5OA8cPCRBNe/QPWxw3roBhRXbv+g0kXc2auIffUAwO9lDYWgghxHZr5MiRjB07lqeeeorRo0fnltfW1rLnnnuyYsWKXrUnASAhhBBCiB2cdjxSGxtBKayKCIl3VtP078WkNjWjTAM9/zO8TU04lomHwdqSQvzZ7J2OGTcKCKYdWnw2pmHgc1xsJ0VLMJRb7087FMYThNJpAAzPY1BjMyXRGAbQEvDjTzv4XBef62LHXRzDwDUUHoqY30fSslhfFGJ9cSGrSotJW2a3s3QpT2NqaGqXvaMAv+Pic+M0+/2kLJOEnR9o0lpjex6m52EATm9jIFqjtMbQmoENTbSGvlqLTFuOi+l5VBVFsFwXOhaNzg4bW1dcxJiNm9hQXETaMChIJAgnk2ilSJkmMZ+Fa5p4wPqYx28/iRJ2HBRwzzv17DsszDlTimlMw8CQwV7lNkopEo7Hv1YlWNLosLzFpV/IpCJo8nSVw5t1Lk72zg4LKi4bG+DiMX5SHnzY5BJ3NENDBoOCBqax+QtTm/RoSGsiJnzS4OBq2K3Upsin0IC9BW0IIYTovcGDBzNt2jT+/ve/M336dABc12XVqlW9bksCQDu56dOnM2XKFO66665t3RUhhBDiS5dYvJbYSx/jJdP4xw0gPGMSRmDLsim86ibST76LV9uCMbAI+6jdMUrCW7SvdlySL35E4h8L8DY1YwwuJXjS3sRLC6h+bRktn1ZjuC6BkI+iocUERvXDKAsT29hCujGOvyJCQUWY1IfrwVCE9h6Jb0Q56boo1U++R/STKhpbksSqW3CqmgjGEhTF4jimSczOnJ/lpilKpAmlkmwoKqKxf79ccMQDDO3gy2bItNf6Md72NGnLZFMgSHMwlAsUhZNJyltiedt6hsHqkiKa/D6G1zWglCLpsyGVyQLKtOfhGBbVhRHiPpu4bTN/xBD8aQfbdbsN/pANwGQOmL+NAtCZDJ/GdlPOt+bmaKVIWVZuyFlpPEmNbwunaM/OBGZkj9+6l6MUrmkSiScoj8YIph3Gb6whYZmsLi1hZVlJpjB1rpOZAtlNwQDhZJKmYBCfm7nuKdMAy0ShSBsGKcsEMtk6MdfFn07jmCZP1miefKkh16TfgCILauNuLsjUer5J0yBu22AYudnM1jVrfviuy/+934LGIN5627XGBA7vZ3L5LiFerHbYEPeoSXo0pzwMQzEgYPBug8PSFp3bx/I8LMcFo60+iN9UhGxFxFbsW+HjojEB9iqzWRtzebPWpdBSHNzPwmcqkq7m/61LsTrqUuY3GBQyeHxNmqUtLmU+xbcrfUwtNqlNaT5pdjEVHNzPZmTE5NNml1er02gN+1VYTCzaeT7OpD3N0+tTfNToErIUR1f6GBmRelFi25EaQNuHP//5z9x///3MmDGDu+++m/POO6/Pbe08vzG3orPOOqvL6daWLl2al3bVnenTp/Pqq68C4PP5KC8vZ+rUqcyaNYvjjjtuq/e3J3PnzsW2297oDh8+nEsvvZRLL720V+20pg2/9dZbTJs2Lbc8mUwyaNAg6urqmDdvXi4iuT1Lp9P8+Mc/5plnnmH58uUUFRVx6KGH8otf/IJBgwZt6+4JIYTYCtzGOBsv/ivx/34GppGJFDgexs+ept8dJxE+cFy3+2qtSdz2DMnfvZT5YG0Y4LrEr/8HgWu+ReC8g3o8ttecoH7mH3EWrgJDgafR761h0/MfsbEgQtKysFyX0mgcO50mDsSBhGVSHw6RNk3KWqI0ZgMnrezxA9m0rokkik2REOnWwIbfD4EA64sKGVZXT0EqxYqyYtKmSWBjDVVF5SQtKy94YgCOmZndyu+6XRZ2tjyXtDZYU1qUC36Yntcp+JP7v1I0hILUJZOUReMAxH02LWSyVWI+mw1FhTQG/WjDQHuaQfUNRAMBvNYgRhdvzNVmJhNrzQRSWucNT8t7k5/9v9KaETX1bdfU8zKzhnWUDagEsoWd/dl/3Wzwp7QlRv/mFtp3ze+4jKmuoTQaY+HQylwQSHkaQ3ukTJNwKp3rc9I0WV1ahGsauYiVZygs16UgnsrcI8MgZXYOACRdTbWbuY+t1z53LVwPpdOkTQPL0201kVwPLw1Jk8zrMluc29Waf1e7/HtTCybgtRtO53OcTACt3TFQCscwcHwGPsfJtZ9wNUlXU5uANdEEf16ZpCxoUp1q67cJ7Fdq8Gl9moaUxlTg6szpa0PhqEzwa+66dKdzVkA/P2xK6LzX3oEVFo/sU8Cg4BYG9rZTL1almPnfFqqTGivza4OrFsU4aaiPP+4VIWjteB9ahRBbh1KKH//4x0yaNIkzzjiDDz/8kKuvvrpPQ3t37N+UX6AZM2awYcOGvMeIESO2eP9zzz2XDRs2sGzZMp544gkmTJjAySef/LmidX1RWlpKQUHBVmlryJAhPPjgg3nL/vGPfxCJRD5326lUavMbbSWxWIyFCxfyk5/8hIULFzJ37lw+/fRTvv3tb39pfRBCCPHF0VpTdcEjxOcvzyxwPXCyM021JKi66M8kFq/tdv/kr58n+ZsXMvt5Ghw38wk17ZK46V8kZ7/V4/Gbrnwc573VmSdeZtr0qnCIqoIISdvGyg6XCqXTeR9k/Y7LgMZmBjQ25bJm2kt9soFgNE51JJwrSNz6IR7ANRQry0pwDIPhtfWMrKkjZVudgj852WCG11XQhUzgxTWMTIAiK5JI5tZ3p7rd+wLPUKwvKWR5eQlL+5XREArgKkVaGaR8NqjMTF6Z2cB0LvCS35fNTyffWvAZssGEbjdUecfwuy7+tNPpuIbWhFLpTAaQp/E7DlprXMPATjv0a27pdB1aM6TKojEG1zdiOy4l0Rj9W1qoiMawtCZtZrJyHKVYVV6MNoxsgEhnaxbpvKBN3Ge39bvjeZDJvOp4rgrweZnhfY5pZK63aZCwTFKWiUk2o6p9VlW7zLDcc6VI2T0f32kXnGrdwgDS2ddOdTK/d67WvFbrUptufd62r5G9Dp1z0jI0sDGZWd++1TdqHA5+uZGmdHd7bv8W1Dl8+7VmarLXy9HkznPO6hRn/rd5m/ZPCLHt6HZ/n44++mjefPNNnnrqKY4//vi8dVtKAkDd8Pv9DBgwIO9hmibTp0/n+9//Pt///vcpLi6mrKyMH//4x50ufigUYsCAAQwZMoRp06Zx66238oc//IH77ruPF198MbfdunXrOOmkkygpKaGsrIyjjz6alStX5tafddZZHHPMMdx+++0MHDiQsrIyvve975FOt30z8rvf/Y4xY8YQCATo378/J5xwQm7d9OnTc9k+06dPZ9WqVVx22WWo7Dcs0WiUwsJC/v73v+f1/6mnniIcDtPc3PYHZ+bMmTz22GPE4/HcsgceeICZM2d2un6LFy/m4IMPJhgMUlZWxnnnnUdLS0un87rlllsYNGgQY8eOBeDNN99kypQpBAIB9txzT/75z3+ilGLRokVAZqzjOeecw4gRIwgGg4wbN45f//rXecfe3DUrKirihRde4MQTT2TcuHFMmzaN3/zmN7zzzjusXr2684tBCCHEDiXx9nISC1e1fbpsLxsdaPjDK13uq1sSJH77Ypfrcu3f/gza6RygAXDX1JF89v28YzcGA8RtO5exU9oSy3zg77BvbuiV66G6DIRAUyiIYxrdBnQ8pagNh7A8TSjt0OzfzIxXWpPuWLeGzGVyDYN0h+P4ujnv9n1I2BYa2BQJ8e6QQWwsLKAhFMQx26Z29/Km+cqcq+25ec/b+rJl33DmBbJ6+Fa0/Temhs4Ed8LJFL50Gn8qTTiZIpxKY3kepdEYgxqacvfD7ziUR6Ob7cuwunpKY7G8QJ4iE7AJpVLURIIYniacTFEWi+ce4UQSD4jbFq6Rnea+u3PpaR2Zae8BXDNTFLt1+9brlBk+twUfHno4vqc6h+c0dDtkr/V52uwcuILug4DtGujUpqNheYvHQyuSPey3fbv5wxgedBn88oB/rkuzqL7LXDUhxE6uY5bPrrvuyoIFC/D7/X3KAJIhYH3w8MMPc8455/D222+zYMECzjvvPIYNG8a5557b434zZ87khz/8IXPnzuXQQw8lFotx0EEH8fWvf53XXnsNy7L42c9+xowZM3j//ffx+XwAzJs3j4EDBzJv3jyWLVvGSSedxJQpUzj33HNZsGABF198MX/+85/Zd999qaur4/XXX+/y+HPnzmW33XbjvPPOy/U1HA5z8skn8+CDD+YFjlqft88e2mOPPRgxYgRPPPEEp59+OmvWrOG1117jt7/9LT/96U9z28ViMWbMmMG0adOYP38+1dXVfPe73+X73/8+Dz30UG67l156icLCQl544QW01jQ3N3PUUUdx5JFH8te//pVVq1Z1GqrmeR6DBw9mzpw5lJeX8+abb3LeeecxcOBATjzxxNx2PV2zrjQ2NqKUori4uNv7l0wmSSbb3lw0NTUBmSFl7QNyYufQek/l3n61yH3fOTS88AFuyOo6AJTV9J8llEbjKJ+Vd99T8z7B0R4Eeqi70RwjMf8zrD07ZwYn3lyC42vbVwMNRaHMzFQ+E9Pz8Bsenr/nuh6eodBdvK+rKwqC3dMHf0VjUZD+8WY0inTAyhsW1eWxPIXndL5WadvCb2hsw8PnuZn6NL6egw6QyRyqLQ6xoqIsb1hX+wwRW2nSVibzxzY1jgGmUgSUmxnypGgLBBi6x28sNZAyLZRPYaLRWqN027ecnqItAEL+EKfdqjZgGkEcpagqKmR9QZjmkJ+9V66jMJlgQ1ERm0rDFCWSuYBFUDuYVs9hqQIvhU+5Xb4518CAeJRmMsGh9pv4PZfCZIomvx/LcAl0PUAtj9FFiEwDFh4plXmrnwkstA7hArRG69Zhcm179/qjhAIbp9P90WTuZ3f7ANjKzWVttWdrhad6uOPZfTr+BD36WZQLR/T80WZ7/B0fTWvmrY/j62EbS8ETK6NMjIS+tH7tTLbFfd+eXmNix+Z2kRFcWlrKvHnz+tSeBIC68fTTT+cNbTriiCP429/+BmSGQt15550opRg3bhyLFy/mzjvv3GwAyDAMxo4dm8vweeyxxzAMg/vvvz/3BuHBBx+kuLiYV155hcMPPxyAkpIS7rnnHkzTZPz48Xzzm9/kpZde4txzz2X16tWEw2G+9a1vUVBQwLBhw9h99927PH5paSmmaVJQUMCAAQNyy7/73e+y7777sn79egYNGkRNTQ1PP/00L7zwQqc2Zs2axQMPPMDpp5/Ogw8+yJFHHklFRUXeNrNnzyYej/PII48QDmeKZd5zzz0cddRR3HrrrfTv3x/IBJ/uv//+XKDr3nvvRSnFfffdRyAQYMKECaxbty7vutq2zY033ph7PmLECN58803mzJmTFwDq6Zp1lEgkuPrqqzn11FMpLCzs5u7BLbfcknfsVs8//zyhkPxB3ll19XMgdn5y33dwk4HJe2x2s49ffD7vee6+33HA5o9R/TE883Hn5QHgtv163LVp8633KLD5TfiMob1qs6ecluF5z4q2qL21DOvxAy1A64Ts3f/l7Z1xPQ4VaxsYlkh4/OaPmaX7HKgJBFrzLuqzD2BY636N2UfvHciGPu23w9lMklm3NvcC6a0UPPPMlm26vf2Of3hLfqhXwzOSqP65fJn3PRaLfWnH+iL1OKR2B7Ujnk88Hmf27NksXLgQwzCYOnUqp5xyCsFgcPM7dyABoG4cdNBB/P73v889bw1kAEybNi3vG5199tmHO+64A9d1Mbso1Nee1jq37zvvvMOyZcs61ehJJBJ89tlnuecTJ07Ma3fgwIEsXrwYgMMOO4xhw4YxcuRIZsyYwYwZMzj22GN7FZDYe++9mThxIo888ghXX301f/7znxk6dCgHHND5DfDpp5/O1VdfzfLly3nooYe4++67O23z8ccfs9tuu+Vds/322w/P81iyZEkuADRp0qRc8AdgyZIlTJ48mUCg7a/g3nvv3an9e++9l/vvv59Vq1YRj8dJpVJMmTIlb5uerll76XSak08+Gc/z+N3vftfDVYJrrrmGyy+/PPe8qamJIUOGcPjhh/cYOBI7pnQ6zQsvvMBhhx2WV0hd7Nzkvu8cGv70OvX3zut6PEWWURJi6As/RCmVd9/Vu2uIzvzjZo8R+X+XY47s12l5+pMq6k/4Te65pxRrSovxgITPh+04DGrsuZ5H6xTjuoskiDXFRdSHgj3OmBVKpxhZU4/SmqZAgKZAoMesHX8qlcumUJ6XmTa9XY2YpkCA6kiIwY3NfDygguJ4ArOLIWyt2w+rbWBZv7LNnqNjGLjZv9WOUiR9VmbGmda+0PbhQ3cYbtRaN8hFUR8OkfBZ4GmsbB+6yoiBzKxbKaftwr71qsLskCH10YAK8DRJv00glcbvuNSHQ7ksopKWKCNr6thQXMSq0iKSlkUwlWZYXQMDmpozWV/BIOtLuw6WpQ2D9cWbf9+QsKzMtPZdnVC7k+o4nLD1XGO+TO2n9tesqybaL+9VBlD2uHaHIuKt99bp6T2x1liul7tf7aUNA6+nKeW7yAAygKmlFs9N7/m6bo+/41OuZtTT9cR6GF1pANdNDPGDcVsSKRIdbYv73jpSQIjPq7q6mgMOOICamhrGjBnDggULGDNmDLfeeivz5s3r9SRGEgDqRjgc3qIZv3rDdV2WLl3KXnvtBWSGM+2xxx7Mnj2707bts2o6/qJSSuFlp20tKChg4cKFvPLKKzz//PNcd9113HDDDcyfP7/H4Uwdffe73+Wee+7h6quv5sEHH2TWrFldpi2XlZXxrW99i3POOYdEIsERRxyRVycI8oNcHbVf3j5A1N1+HWsrzZkzh8suu4w77riDffbZh4KCAn75y1/y9ttv523X0zVrlU6nOfHEE1mxYgUvv/zyZoM4fr8ffxe1FGzb3m7eRIitT+7vV5Pc9x1bybF70vTrlzIFnLtiKEqO3yvvSwjI3HdrnzGk+xXjra3ren9TYU4ZRmBcZZdN25OGkJg4mPR7azJFpIFANJUpvus5OICXzkyj3d1HXJ3tY1dBm351LdT7gvT0HWZ5XRTHAb/jUZiKE1V23hCotgNl+hGJJ9tmiup4uo7L+OqNTEskqC4IU17XTE0kTE0knBla1uHv9LC6BoLpdKYK8GYoQ+eusYXGTKVIG0Zb4WPoMHNZpqC2B6Qtg4ZQMDPduVKQ1hiexu3iHHKnC2gPPLdtC89VeQWJNFBZ3URtJEhtMEwonaLOHySpM9Ozo6EqGOGz0WU0hIO5IW4qoFlVVEK/xmb2+WwVG0IRUl7Xw5iipp1tr2eZckseCZ+v8wxp2etueB6q3XApnT3/hGXiKLPtvDMXs9P1aNdU5jw6dqK7Wj7Z5izXpX34p7WppDLRuqfhghq/dknnLclIqdzcZl1TnYNeADNHh7f49/b29DvetuGUkRF+vyzR7ahVS8Gpo8LYtpRv/Ty+zPu+vby+xI7vqquuorKykgULFrBp0yYmT57MRx99xHnnncdll13G448/3qv2+vxb5M9//jP77bcfgwYNYtWqVQDcdddd/Otf/+prkzuM//73v52ejxkzZrPZPw8//DD19fUcf/zxAEydOpWlS5fSr18/Ro8enfcoKtqyFGsAy7I49NBDue2223j//fdZuXIlL7/8cpfb+ny+LscRnn766axevZq7776bDz/8sMvCzq3OPvtsXnnlFc4888wuz3nChAksWrSIaLsiiW+88UZuCFx3xo8fz/vvv59XZ2fBggV527z++uvsu+++XHTRRey+++6MHj06L1tqS7UGf5YuXcqLL75IWVnP31QKIYTYcVj9Cym/9puZJx0/gBoK39gBFJ/99S73VYZB6I5TMlPHd8xCMA0I+Ajd8p0ej1/069MxKgpy+xfH46AUfscBpagLBXPZLR1lsidUt9katpNm3Ibq7IJ2LWQzdopjcUKpNCvKy1hVWoypNf2bmrGzwSjaZfb4HYfiWDz3YbrjEQ3PY3h9PcWJBAoob4lhex4VLVHGVVUzqKGRwkSSgmSSolicUdU1lLdECaTSqO6Cb+10nH2sNZsk86Tr4IEi8+Y17vNlgj/t+9vFOXRkepufKcrUHj7Xo7K+CQfVaRa1ukiIhlCgrZ+0ZdFUF0Z4ZdxIEr7uP/xtyaxmAIYGn+sRTKW6zGjypdKdiiZrBXHLymXfbO5I7dd3Kjyefa3k7knrayf7sFw3cz21zhsm4iqFhe4041r7dk2v66wlx+imwHmHPrVnKphWZnHy0L6ORdv2rp0QZHDIwOxYMzv77y92CzFgB5/mXgjRN8888ww33ngjkUgkLzni0ksv7dOwxj79Jvn973/P5ZdfzpFHHklDQ0MuoFBcXMxdd93VlyZ3KGvWrOHyyy9nyZIlPProo/zmN7/hkksuydsmFotRVVXF2rVrefvtt7nqqqu44IILuPDCCznooIMAOO200ygvL+foo4/m9ddfZ8WKFbz66qtccsklrF3b/fS07T399NPcfffdLFq0iFWrVvHII4/geR7jxo3rcvvhw4fz2muvsW7dOmpqanLLS0pKOO6447jiiis4/PDDGTx4cLfHnDFjBps2beKmm27qcv1pp51GIBBg5syZfPDBB8ybN48f/OAHnHHGGbnhX1059dRT8TyP8847j48//pjnnnuO22+/HWjLHBo9ejQLFizgueee49NPP+UnP/kJ8+fP3+x1as9xHE444QQWLFjA7NmzcV2XqqoqqqqqvtTp6IUQQnxxis7Yl/73nIZvl4G5ZSrsp+is/aicfS5GpPsPi9Y+o4nMvRhr3zFtC5XCOmQCBU9eijmh6+yfVuaQUsqeuZzwJYdjDC4hYinKAgYGEEinSdoWNeFQ2/Cmdo+mgJ91xUVEfb78oTlBm8gew7A0FMUT7L1iDUXxRG69z3Hp19SC4Xl82r+cpGUS9fvYUFCAYxoMaGqif1MzhfEE4USSAQ2NDGhuyXzo7+YDd1k0lpmRrPW8tGZAYzMlsTgBx6W8JUp5cwu245K0TDYVZmonWlrTr6Wl29mcWpd2mn5ea8qjMUqjsR5nglJaUxiL54JWXc2Y1r5NslOsqy6CB13xspkwftfF6xCQcJRqyzrqsnOKxlCQWHYmtK4Euph2vlO32z1s16MgkcSfSqFcFzwPVynifh+eoTAdl7RSRG2bmGXhmkbbuWfb6DKYpjPTrpueh+l59PO1ywDKzo5WFE9QkEwRiSfyrrOZnanOVUZmKnql8FmKgWGDUQUmpw3zc+loH0YuCJR9aE2RpfhaUf5HkAEBg4ERE8tU3WajhUzYo8QibLSt8xtw9gg//z6wEH/H6MkOpCJg8MahRZwy1Ifd7jRGRQwemRbhknG9r/MhxNagldopHzuS5ubmLj+bm6aJsZlJHrrSpyFgv/nNb7jvvvs45phj+MUvfpFbvueee/KjH/2oL03uUM4880zi8Th77703pmnygx/8gPPOOy9vm/vuu4/77rsPn89HWVkZe+yxB48//jjHHntsbptQKMRrr73GVVddxXHHHUdzczOVlZUccsghW1xTpri4mLlz53LDDTeQSCQYM2YMjz76KBMnTuxy+5tuuonzzz+fUaNGkUwm86KI55xzDn/96185++yzezymUory8vJu14dCIZ577jkuueQS9tprL0KhEMcffzy/+tWvemy3sLCQp556igsvvJApU6YwadIkrrvuOk499dRcXaALLriARYsWcdJJJ6GU4pRTTuGiiy7i3//+d49tt7d27VqefPJJgE61g+bNm8f06dO3uC0hhBDbr8hhE4kcNhFnYxM6mcYaUITybdlbH2v3YUQeuwivugld24LqX4hRGtn8jllGaYTIJYcTuSQzoUM/YMjaejb+fSHNH61HGwo1oBC7vgW9qQUVCWDtMYzSKUMZZpkEKiL4i4IkP9kAShGYOAgj7Cf1zkqiD71Oet7HHLBiNdr10CgcIzOL1bqiAspicYL9InhpSMYy08Ibnoc/7VCYSOJYZuZDu+dhAG43QaDibJAl77yAgmSKgmQKD1hXUsR6f2YoXcowSFgWQcdhSF0jDcFAp+yZtlo8ZluGiFIorSlvjtKvuYWieIKGUDBTwqmLIJHPcXF8dl7wymvXtspul/t/u+UmYHaRCd1+m9YhaJrOGUNJ2+o5QyXb58ZAAFNnAmUdQz1Rnw/bdUlbXb8WNZAwTbShMLRGo3ANg5PGhjh7lwIakh6Pr4jz2KoUScOAbJ0gpTXaaJdfpFTmfV6765wbJJbL+tIMCxlcPynMaSP8xF34tDHNM6tifFqvCVgWB1UG2JCGD5s8Sv0G0/vb7FlqEXM0b9c6KGD/CpuBXWSo/GzXIL/4JMEbtS5BA84a4eOEwT6UUqxscVkTdSnzG+xSZOa+7KtNejy6OsXKqEfIhLEFBoOCJnuXWkRsRVPa4526zHXdvcSkxLdzZMb0Dxg8OK2AX031WN7iEbYU4wqMPk3zLITYeVRWVrJq1SqGDx+eW5ZKpfjZz37G/vvv3+v2lO5YZGULBINBPvnkE4YNG0ZBQQHvvfceI0eOZOnSpUyePJl4PN7rjuwopk+fzpQpU3bKTKfZs2dzySWXsH79+k51EbaV2bNnM2vWLBobG/tU5fyL1NTURFFREY2NjVIEeieUTqd55plnOPLII2Uc91eI3Pevph39vmutaVlajdOcJDioiMDAtmHkqVW1ND6xgPTKWgjYJPoVUV0bx2uMU/a/T3FjKZJdnbPW7LJxU8/HBWoiYT4c1JbdO7ymjkgqU9klaZq8PXwIlm7LInKUImnbuNmgT1E8QWEySUEsTlksQSCdRitFVWEBH1QOIOZvez+iPA+f6+JzXFZniy9brouhoSGUeY9ge21D3boLC6TSCX7151MB+MF5czBUMHc+ScOgMRLKFUdu8fuoDYdyQZ+oz6Y+vPmJNsKJBLabKabtd5xctkzSbit03eT3YdFhGBaZ4E/CMjPZM0DAhAsnRrhmSiFmu2GJntbM/izOkiaXypDBiIjBQyvT1KU1g4IGl40LsFuJzaK6NLcvSfBBg0ORz2DGQJuzR/gJWwZBk7w2d3Y7+s+66Jttcd939M8Jrf3/8YkPELB3rtmOE+kYP5tz9g5zby644AICgQB33XUXy5cvZ+zYsfj9foYOHcqzzz7LsGHDetVenzKARowYwaJFizod7N///jcTJkzoS5NiG4rFYqxYsYJbbrmF888/f5sGfx555BFGjhxJZWUl7733HldddRUnnnjidhf8EUIIIbYXSikKxnY9xNo3rIyKy7+Rt2xk9l+nuolNv36BTU++j9tFzR2PnmsFaCBt5m/ha5ddUx8KEvf7ctkmHYciaaXo19xCSSzOyJo6fK6XC4YMbGxmRE0dS/qXEw34MT1NfdBPwu+nLhQgZVmZWcAMA8P1MD1N2lC4SmFkM5t6SwEBzyPY0ITpeUQDfhzACvhxstk6PqeHqZpyJ6bxuW4mc0cpYh3eV2kywax+LVFcv82BE0pY3eJSm/BoTmsSCYeQCVMGBjl8RJgjhwUp6KL4r6EUZ4zO/2A2Y3Dn90tTSm3+so8EO4QQYkd0++2352aVq6io4Le//S2jRo1i+vTpWN1kkvakTwGgK664gu9973skEgm01vzvf//j0Ucf5ZZbbuH+++/vS5NiG7rtttu4+eabOeCAA7jmmmu2aV+qqqq47rrrqKqqYuDAgXznO9/h5ptv3qZ9EkIIIXZGVr9CBt58PBVXHcnqH82h8e2VeetrwyHKorFugykGsLGwIPNEa8KpFD63bchU3LZyQ4+6TDfXmsJEkrEba7qs+1IcT7BL1SZWl5VQVRihJRCgxe+jJhzKTgGfCYI4poHluqQtH47WWGxZsWdoq7OTV5BYKRzTJJxIMjSVxjMMmoIBogE/tuviT6W7HwqmNT7HwfQ0nupc50gDtvboHzI4fEIZF+9bgW3uHEOYhBA7n/YF3ncWO9r5RCIRIpHMEHStNaeccsrnylzqUwBo1qxZOI7DlVdeSSwW49RTT6WyspJf//rXnHzyyX3uzI7glVde2dZd2OpuuOEGbrjhhm3dDQCuvPJKrrzyym3dDSGEEOIrwyoMMvKPM/HiaWrnr2TlwjUk1zUSfu1DdCyO18VwKg3UhYI0BvyZ4VZaM7CxOW+9tbkgjFIMaGzucgYyssuKEkksx8ExDWoKwjT5faAUkUQCy9VsimSGZzlG24xTvS3w2WnrbM0c1zCwPI+BTc0olSm+HfX78KcdVpcVk26dCbXdbFfBVBrLcUhaFobWVIRMDh9TgOdBcdDkxEnF9ItINo4QQogt47oud9xxB7/+9a/ZsGEDAAMHDuSSSy7hRz/6Ua8LQfc6AOQ4DrNnz+aoo47i3HPPpaamBs/z6NevX2+bEkIIIYQQ2wkjaFNxwBgqDmid/exYnAXLSZ35B6htyfvWdGNBhE/7ZyaECCVTDGpqxp8teKyAtGFgepnAUKfZvrKU51HSRaHp9jSZTKAPBvUn5vPhc1xKC2z2Lgsy8eV3WeJaPLr3lLx9tiz3J9uHbldkZopRnkdBMsU6DUHXxZedea0iGmVjYQEbCyKkLBN/2mFAUwvfeP8jFg2rZO3kkfx4/wqOHL5z1c4QQgjx5briiit45JFHuPrqq5k2bRoA//3vf/n5z39OVVXVZida6qjXASDLsrjwwgv5+OOPAXqcDUoIIYQQQuy4rD1HYn74C+qOuINNq+ppCAbYUBhh3+VrmLh+IxpYX1xEs99PynJBQ9IySZsmPsdltzUbeHdYZad2W6c339z3lppMMGnEpjoSw/rxnV8dRbi0NahyPFOSaQLrWvjNPfPpv7GehnAwkwHUOsdJF8Gn3qT/54aHqUxmUWtrlqepbGiisqEpu6GmULscdPEBHDNhILsUWzJ7kxBCiM/twQcf5MEHH+SYY47JLdt///0ZPXo0s2bN6nUAqE+Djr/2ta/x7rvv9mVXIYQQQgixA1FKUfTHWRQW+knYNoXJFEHHoSCZojCZol9zC2nLosXnoyXgJ21ZeEpRHI8zed0Gpq5ah+m2zc7VKu63M9PBb0bMZxPcYxgn/erb7YI/2b75bXYZWcJPrz+Q0PSxJGwTJ1sIuuPxoO+1HyxPUx8MdL1SawxD8aPv78k++w1lQoktwR8hhBBbhWEY7LLLLp2W77LLLl9eEeiLLrqIH/7wh6xdu5Y99tiDcDict37y5Ml9aVYIIYQQQmyHrKFl9H/qUkL3v8bqOe/krSuNxQmk09SHQsR8PjwFNYURLM+jsqGJ3dZtYJeqalaXFlFVWMBHg/pnhoUpxScDKth1XVW330gqoOWkfTn6+iN77F9ZkZ8rzt2dN18t5i9zlxDzbCLJFK5h5NUE8pQitSVvmLMzlynAVYrGoJ/VJcUkm1sY0BJFeW2hpIEVIc49fixjhxVtvl0hhNiBaFSv66pt73SPA4+3P2effTa/+tWv+N3vfoeZ/dLEdV1uv/12zj777F6316cA0EknnQTAxRdfnFumlEJrjVIK192CKTKFEEIIIcQOw+xXSPG138J31n7EvnZj3oxfobRDqDEzHKop4OfNMcNRCsw1mUCJz3UZvamOoniCDwYPzO337tBBDK+pI5JM5QWBWodezR8+mN0vPXiL+7jvgSMYMqaMG25/m4JkCtvzSANxny83Db1OOz03ks0aap1JLGWajBxbxnfGlnHc+FEU+w0+WFZPNO7QrzTAmKGFkvEjhBDiC1FTU8PcuXN59tln2WOPPQBYsGABjY2NHHvsscyaNSu37YMPPrjZ9voUAFqxYkVfdhNCCCGEEDu40KAS6g7aFd+L73e5viCRpDAWZ3lZCXHbwp92csGd8pYYJdEY9aEgKEXStvnX7hOZtnw1ozbVYWSDLy1+H+8MH0zyqD0IFnUz9KobQwYVcsFZu/GnP71Lv4YmLM/LBX+61H6YWHYb0/MwtSZq2xQW+Pj1yaPygjy7jy/rVZ+EEEKIvmhsbOSQQw7JW7bnnnsC0NTU1Ov2+hQAGjZsWF92E0IIIYQQO4HKh8+h+tR7Cbz6cVtdHQWGhrXFhfjSLl7Q4PldRnPU4iWZLPHMJuz72SqemTQerTUoRdznY9740bw5MkVRIknaMKgrjGAHbb5zxh596t9ek/sx/LoDeP6VVSyZvwajLoanuq43pJWixecj7rPwZWcycyyThG0zpL6Rrx80QjJ8hBBCbBNz587dqu31KQD0yCOP9Lj+zDPP7FNnhBBCCCHE9k8pRf9HL8RdWcOC7/wBK+WQ8Nl8VlGK33HwaY+ylhjrS4qYu/sEDv9wKQXJFAqobGhk/6UrmD98CAmfnWszbVlUFfpAKYZMHsQBZ+9NSWXf6+pUlAU57fjxcPx4Xl+0kb/e9w4+18srBK2BxlCQmkgoP0NIa4KpNImiEN/4xsg+90EIIXZkWmUeO5Od7Xx6q08BoEsuuSTveTqdJhaL4fP5CIVCEgASQgghhPgKMIeXU37tt/h/sxflhln1b2wGNH7XpaI5Sto0eX/wQEpicUytc4WZ91i9juaAn6RlYrseI39+DGpAMYX9IhRURLZqP78+pT8v7zOCT99dT6gplVu+pqSItD/ceQelaPH7uPSEXTCMPk2aK4QQQmx3+hQAqq+v77Rs6dKlXHjhhVxxxRWfu1NCCCGEEGLHMOrY3Tgi7fLqY4uImhYJyyKUTueGfPlcj4ZQkMJEEi+7jOy/hYkkaE1owiAGHzL+C+3n9afvwt9HFnP/y8tzyxzTzBWchrZp4hOmyTkHDGT/SRVfaJ+EEEKIL9NW+0pjzJgx/OIXv+iUHSSEEEIIIXZuY06cytl/m8m3z5jC+KBGaZ1XXDlpW6wtKSLdmk3Tul5rAkNKGPlw76ey7YsT9h3IE5dNyT3fGAmTNtveDrtK0ez3ceupozlt+uAvpU9CCCHEl2Wr5rSapsn69eu3ZpNCCCGEEGIHYJgmI749mWlPXMBeJ0zOFE5uDQJpTdy2WF1ShOG6BFJp/JZiyI+/yZinL8YI2D03/gXZc2CA6oIwq4sL2FgYZtLEMh6/YAJ7jS7ZJv0RQojtiUbtlI+dgeM4vPrqq73er09DwJ588sm851prNmzYwD333MN+++3XlyaFEEIIIcROYvgFB9L/hD347KnF1H64ATeWIhRPUYRLcNoQSo+eQsHeI1DGtn0jfssxwwkXFBJNuIQDJrYp9X6EEEJsPxobG7tcXl1dzUEHHURTUxORyJbXzetTAOiYY47Je66UoqKigoMPPpg77rijL00KIYQQQoidSLA8wq6z9tnW3dgs2zQoDkvgRwghxPantLQUrXWX65RSFBYW0q9fP+69995OcZqu9CkA5HleX3YTQgghhBBCCCGEEFtg3rx5XS6vr6/n2GOPZd68eTz//PNcccUVX1wA6KabbuJHP/oRoVAob3k8HueXv/wl1113XV+aFUIIIYQQQgghhBDAAQcc0OXy6upqlFIceOCBjB8/nttuu22L2utTvuuNN95IS0tLp+WxWIwbb7yxL00KIYQQQgghhBBie6FA72SPnaQGNKWlpbnsoEgkwg9+8IMt2q9PASCtdWZmhw7ee+89SktL+9KkEEIIIYQQQgghhGhn8eLFnH766UyYMIFdd92VmTNn8vHHH+eyg8LhML/61a+2qK1eBYBKSkooLS1FKcXYsWMpLS3NPYqKijjssMM48cQTe39GQgghhBBCCCGEECLnnXfeYZ999mHjxo0cfvjhfPbZZ4RCIfbbbz/efPPNXrfXqxpAd911F1przj77bG688UaKiopy63w+H8OHD2effbb/2R6EEEIIIcT2K9EYp35dI+++tpKF71cRS3goUzF4ZClHnjCRYWPKt3UXhRBCiC/c//3f/3HWWWdxzz33sGLFCv70pz/x+9//ngkTJnDNNdfw6quv9qq9XgWAZs6cCcCIESPYd999sW27VwcTQgghhBCiKy1r6vjg1uepf28dhucRTKWJoNjbZ+MqRdoyUUtXsei5d3m9vIiCg8dzyJlTiUT827rrQgixU9Io9M5SNCdrRzuft956i1tvvRUgbzr4b37zm1x11VW9bq9Ps4AdeOCBuf/H43HS6XTe+sLCwr40K4QQQgghviKcFZtIvvwxOunQkHR5f+77uXUaRcLnQwNp00QrUFqDUhhAYU0jes7b3PXGKkZ8a1dOOWkiruuRTnsYpkF1UwrbVAwo8XdZt1IIIYTYEWitCYfDnZZXV1dTUVHR6/b6FACKxWJceeWVzJkzh9ra2k7rXdftS7NCCCGEEGIn50WTNP7wMZLPLgalcIDFlQNQqt3kLIbC0xpXGdlZW/KDOK3PJq2rouqvzVz1ymfErExmumsomv1+GkJBBpQGOPHrlRw+tUICQUIIIXY4o0aN4qOPPmL06NFAJiD0n//8h0svvZRjjjmm1+31KQB0xRVXMG/ePH73u99x5pln8tvf/pZ169bxhz/8gV/84hd9aVIIIYQQQuyktNY0v7+W2nlLiD39Hsb6egKWiQLWFxZ0OS2vBjxDdQr+tGqdzTeYdhi6qZ6kbaGBmM8mFAxQGE+w2ivihufXcedzq6kMm0wfX8zBU4q/sPMUQgghtqaTTjqJF198kW9/+9sAJBIJpk+fzsyZM7nlllt63V6fAkBPPfUUjzzyCNOnT+fss8/m61//OqNHj2bYsGHMnj2b0047rS/NCiGEEEKInUy6Mc7HP/wbze+tBUPhaHAKCwAoSiRpDmZq+HQK86j84I8GUqaJaygU4HNcjOywsKjPxu95ABQkUxQkU6wvjFAWi2emvNWajXGDx/8TZ/bLy7/oUxZCiJ2CVpnHzmRHO5+rr7469/+hQ4fy4YcfMmLECHw+X5/a61MAqK6ujhEjRgCZej91dXUA7L///lx44YV96ogQQgghhNi5pJrizD/jARrrE8QLI3iGgdIay3UxPE3UZ5Pw2dSFQ8R9NgoIJVOURWOEUm01JlOmSdSXP/lIwraxHBdPQdTvQ6VS+FwPRSZYNKiphepIGENrXNOEbLCovdqmFMXFX/hlEEIIIfqspqaG1atXM378eMaNG/e52jL6stPIkSNZuXIlABMmTGDOnDlAJjOoWP6KCiGEEEJ85a18ajFPHXcf62OaloAf1zTRSuEpRcq2SVsWtQVh1pUWE/fZoBRaKaJ+H6vLSqgLBUBrYpZJi9+Hbs0IapcZ5JgGMZ+PSDJFXSiUO7YCUqZB2rZJG9m3u63Bn3ZBoB/c9wEfVce/rEsihBBC9Mrjjz/OkCFD2GuvvRg+fDjvvvsuAA899BCzZ8/udXt9CgDNmjWL9957D4BrrrmG3/3ud/j9fi677DKuuOKKvjQphBBCCCF2Aq7j8d7vX2Pxbc91XcQ5+/+oz6YhHMpb1v7/1UWFNPtsWgLdDBHLbhtJpTG0pjEYAKAx4Oc/o4bxj913ZXm/MmoLwjQG/DhG5xZM1+OiP3zA/1Y0fd7TFkIIIba6a6+9losvvpjVq1czY8YMbrzxRgAGDhzIXXfd1ev2+jQE7LLLLsv9/6CDDuKTTz5hwYIFjBo1it12260vTQohhBBCiB2Y1ppFf1tEy53PYaYcAn4/8W4KOAdTKQZF4+y9cg0KqC6IsLRfGY2hYN521cWFlEZ7ztDxyBaMVoq6UJCXxo/CM4y8jJ+UZZKyghTHEnmBJE0msHT5nOU89YNdKQn16a2xEELslHQ2M3NnsqOdz4YNG7jggguorKzk/PPPz9VbHjduHEuWLOl1e5/7r1wikWDo0KEMHTr08zYlhBBCCCF2UG//9V30r57BMAx0NujSVd2d8uYWxm2sQZNJRY/6bFKmwaD6JpoD/kzwJktpvUXHdg0Dy/P43/DBeNnj51EKtKYl4KMgEe20zkFx49OruevEkX04cyGEEOKLMXXqVBYvXsyIESOoqKjI1V+urq4mHA73ur0+DQFzXZef/vSnVFZWEolEWL48M5vCT37yE/70pz/1pUkhhBBCCLGDaqmLsfaB/+SCN621fjoKpNKM21gDZII2z+0yhvv225tndx3P/BFDcI38t6aeUmwuBKTIBJFMz6MhHMoEf7TG5ziEkikCqXQmkKQUjmnitA8wAWnDQAFvrWjmlCdW82F14nNcCSGEEGLrueaaa7jyyiv5y1/+wqpVq/A8j/nz53PZZZdx8MEH97q9PgWAbr75Zh566CFuu+22vOnHJk2axP3339+XJoUQQgghxA5Ex1K4f32T2NF3Ur/PTey2dgPBZAoNpE0Ty3M7Zf8MbMzU2tHAv3abwMcD+6GNTMAmlEp1ORV8wra6DQLp7KMp4M9lC9mOQ7+mKBXNMUpiCcqicQY0NBOJJ0Fr3Ha1gNKGkZkhjMyb4pVL6zj7wU847I9LqI+nOx9QCCGE+BJ9+9vfZunSpcycOZMZM2YQj8eZNm0aJSUlX14NoEceeYQ//vGPHHLIIVxwwQW55ZMnT+aTTz7pS5NCCCGEEGIHkF7fQO3PnqTgXwuw0g4G0J9MLR4DWFdUwIqyEnyuh+F5mUygbCCoOJ6pwbO8vJQ1pcV57bZ+K2l4HsNr6xlc38jKshLWlBThc1wMrfMCRB7QGAywsqwE1zTxlKKyvhHdRbloAyhKJDHQuO2iSVF/2xeZZNu3PE2sNsY3f/0hPzlmOEeML0YIIYTYFlpn/Wrl8/kYOnQooXYzX/ZGnwJA69atY/To0Z2We55HOi3flgghhBBC7Excx2Pl/1aR/MMrBN5cQv/mFizPQ9E2O1drAKeysZmoz0d1UQGF8QSNwUCnDJ6PBvRDeR663XAsDyiJxTnygyVEkik8YEhtA//afSJNQT/BtIM/7aDIZP2sKC9hY1FhXp0hX9rN1B7qpshnJJGiSXu55wnLymYAaSzXw9YarRSOUmgFN/5zJaETRrDHkAgRv/m5r6MQQuxIWrMsdyY72vlMnjy5y+We57FmzRqGDRvWq/b6FACaOHEir7/+eqeD/e1vf2P33XfvS5NCCCGEEGIb0rUtNM6Zz6cfb6JJK6wBRQxsaCL5WQ1vqwAj11czsqaOcCKJ7XndtwMMbmikujCCRSaok7QtkpZFUyBAKJWmJeDLC/4oMjODHfX+x/jTDpAJKIUch6MXfcTrY4azurSYqM/G0Jr6QCAT/IFcsMdT9Bj8aZX02bn/py0Tx8oEdlK2QnkeScvEyw4LQ2sueKaKYCrN3kPCfGtyCSuSsLjeYUPco8BW7FFgMK3Cpjhs88aGBO9VJXA9zf6VAY6fWEzQ7lPFBSGEEAKA9evXs2rVKlKpVG5ZXV0dxx9/PC+//DJKKQ488MAtaqtPAaDrr7+eM844g3Xr1uF5HnPnzmXJkiU88sgjPP30031pUgghhBBC9MBLu9R/XIVT20K4MUqwKIAxZRgUh1BdBD3cBStI/eUNnI/W0xB3iZdFSFWWERvZH10aoXxUOQX9CqhdVk30sf+xrDpOU8BPYSJBYSxBQ8DP8mAAD5NQMsaY6hrCqTR+x8lNn94VBYTSDrbrkrYsDCCYdgimHWK+zFvPgkSSjQUarWBMdQ0TqqoZ0NhMIJvh014oneYbHy2l2W/zxqjhvDp2JEnLyss+AvKGmvXE7Bi8arePZxiYnsYxdOaaKkXaNHACfl7c5PDcq3WQzRJSrkd5NMoax+UJwyBtGsRsm7htgVI8vzrOz9+o4Qe7F3PutHJiDgQthZ2tQfTaujiPLYsRczVHDgtx/HA/j69I8GpVinKf4oCBfg6tDGAamz+nzVlcn2buygSfNbs0pzzGFppM6+fjm0MC2AbMr3dZ1eJiodm7zKIybJF0Nf9ak+R/m1IU24rTRwYYXmhv/mBCCCG2mptvvpnrr78e3cWsmEopDjnkELTWeD18MdNerwJAy5cvZ8SIERx11FE8/vjj/PznP0cpxXXXXcfUqVN56qmnOOyww3rTpPiCTZ8+nSlTpvSpQJQQQgghtky6IUbjwtXotEtkl4EEh5aS2NRMzRvLceIpIiPLKdtzGMo0SK6tp2buOyTeWYURS1E0sozIMVOxhpejH32LxJvLSG5qIV5RgO9roymauS/L7nqJ2LOL8aUcXKVoCvhJ2DaOZeIZBpGhJYw4YXcGHzyOxpc+Rv/pFfwLltMc8FEdiWRS3huT6OW1GG8sI+qzeT8UpDHgJ9469Xo4U0+gNhymPhRiz1XrCCeTvDd4ACWxOOFU74b5+xwHpTWOYZCwM7N0YVmsLypgwoZqlvavYLe169mlahMaiCSSXbbjKkXSsgimHPZftopnJo3Hdr1OgSLD011OO9/pXhndD+VSgAmYWmdmJMu1p7Fcl0g0mZlNTCmC6TQhx0UDtuehtCbm85G07Vx2U9Iz+fn7LVz3SQov2y1TKVw06MzxDM/jn6uTnPWWiQGozCruWhJnmE/x+KGlTCrzEUt7/GxxC3NWJmlKuPgUlAcNvtbfzzeHBDhykA/LUNQlXBZUJZizLMb/qlPUJj0SGKRMA1cpHMvkqRoPlqcJ/beFiF/REHUxvbZr6hkKxzDzhkr87KMERZ5Doa0YWWjz7REBTh4RoNRnsLDeZWPSY1BA4bkev1ma5M0ah/qUh1KKQQHNwf39jCqwiDuaTdE0dUlNxFIcPSzAAQN8KKVYGXV5c1MmA2z/Couh4cy9SnuaNzamqE9phkdMppRaXQY9V0Vd3m1w8RkwJGjwYlWaN6pT2J6LQjEqAnsC9SkP0/N4eX2SuKPZpdhiz3IbT8Pz65K8XpUpZr5vfx8zKn0YSvFBk8sfP0vydq2DqzX7lNlcPs7P6zUuz2xIkXA1I0Im+5eZ9A8oyvwGE4u77qenNa9sTLOwzsFnKL4xyGZcYZ++lxdC7OR++9vf8sADD3DUUUdhmm1/vzZt2sSYMWOor6/v8vdMd3r1m2bMmDFs2LCBfv368Y1vfIMHHniAZcuWMWDAgN40s90766yzePjhhzstX7p0aZe1jzqaPn06r776KpAp0lReXs7UqVOZNWsWxx133Fbvb0/mzp2Lbbd9WzN8+HAuvfRSLr300l610/qieuutt5g2bVpueTKZZNCgQdTV1TFv3jymT5++Nbr9hZs7dy5/+MMfeOedd6itreXdd99lypQp27pbQgghdjBe0mH5r16g+sn30E7bt29WRQHNTcnMB2ilwNP4KyIMGldB4/MfZgILWXXLNlH0j3cZWteAAnzZRyHQ/NanfPCXtylIJgmaJs1+P3GfTUtr8eLs3+eWVXUsvuMlPvrlC4zcVMugphYSlknCtAglU8T8vlwgRRsKy/Moi8aoLixom669fSYMMH/4YA78dDn7Ll9DfTCQ2YRMpk1PbzU1mdm1NArb01ieS9BxSZkGDYEA8UiItcVFDK2pY5eqTbl2DZ2f0dMU8PPWyGF8UNkfxzQxPI9xVZuw3K6/5TQAn9NzDSCApqC/h95n+m96Gtdse946hbyRdkBr/NksoNZMKFcp1hUXdTq2ZxiZ4JrWkA0KuVpjaI3tZoIurjJImya263Xq95qU5sCnN2H4LFq8TKDJzAaIUkBz2mVlU4zZy+IUhU2mBTzeXp/A7XCHfLj4XJeYZZG0rVxfoloTTWpspSBbC0mjcFUmCGa1CwppoFEZ1HsGy5vgxfeTXPx+krAFLU77C6jxOQ6mzrTlaY+GhMmHTUnQicw2SmF6HkHX5YFPY0wptSiI+Hh2o5MLOingmEqb6WUmd3wYZVOi7WdmQrHFXXsXsE+/zM/B+rjHBQuiPLMhjUe7Gh/Z4/iczBUJ6jR/KoBd/1lLEhPPaysZPrrAJJb2qIp7WNmFv/84CkDczNxXK/sNuwY+qkvzh88S0PrzoDW2E+eBdq/jYWGDn00t4JhhgVzf3693OPk/TXzW4mFmJsDjinfhm4NsHtingGKfDBkU2w+tFLoXwYUdwY52PtXV1Rx55JGUlJTkLU8kEiilKCoq6lV7vfoN0zHt6N///jexWKxXB9xRzJgxgw0bNuQ9RowYscX7n3vuuWzYsIFly5bxxBNPMGHCBE4++WTOO++8L7DXnZWWllJQULBV2hoyZAgPPvhg3rJ//OMfRCKRz912+/GMX4ZoNMp+++3HL37xiy/1uEIIIXYeWms+ueoJNv5jUV7wByC9qRl/MgWezjwAtaGehuc/zGzQOlwp+0a0MRSgujCSG9bU+vZ0fVEhBYkkccuiIRQkbahOwZ/27bmGQdq0cAwDQ2dmviqLxRnY2ETKMtGqbfuGcAjHNLoOlmSXLasow/I8Khubc31yDCP/Q3YXagrCuS+PDE9TGE9Q2dDMrlWbmLCxloM/XcGk9VW0v2rtp3uvDwZ4aN89eG/wAJzsN56eYfDJgAoGNTVnjt5FOnwklc0i6mIdQGPA3xbw6kbe0LLstq1BoPZD37RSJKzMd6n1oWCXgafWZ5bO9ldr/I5LOJXGdj0MnQnqFCWSFCSTqOxMZK0PQ0NaGbToTPDB0Pnttv5rak28McV/1idzwR/V4QGZmkrBVFu0RgF+18t9IFBkghm2zmQmmVpjZgNWptb4s8GU1mui6RD8yUplr4vtefh1JqCWu57Za+QqRdTM3PNFdQ6vrInnfdbQwNNrklz9Tkte8AfgkwaHb71Yz/yaNLVJj6+/1MRzVZ2DP0a7/uaOTybA6ej8D4LLml3WJzx0dp2TbcjLnkf7oucKsFwvU68qe18DaQezQxBzZdTjjNcbeWhp5vPSqqjLIS81sjKaeeW7mtzPwLMb0hz9ahNeN69dIcRX05lnnkkwGOy0PBgMMnPmzF6397lCzF2NQ9tZ+P1+BgwYkPcwTZPp06fz/e9/n+9///sUFxdTVlbGj3/8407XIhQKMWDAAIYMGcK0adO49dZb+cMf/sB9993Hiy++mNtu3bp1nHTSSZSUlFBWVsbRRx/NypUrc+vPOussjjnmGG6//XYGDhxIWVkZ3/ve9/JmW/vd737HmDFjCAQC9O/fnxNOOCG3bvr06blsn+nTp7Nq1Souu+wylFIopYhGoxQWFvL3v/89r/9PPfUU4XCY5ubm3LKZM2fy2GOPEY/Hc8seeOCBLl94ixcv5uCDDyYYDFJWVsZ5551HS0tLp/O65ZZbGDRoEGPHjgXgzTffZMqUKQQCAfbcc0/++c9/opRi0aJFALiuyznnnMOIESMIBoOMGzeOX//613nH3pJrdsYZZ3Dddddx6KGHduq7EEIIsSUa56+k/o3Pugw25D4kto7J15pgKt195oxSVBeEcdt9II3ZFp5poIDmQCZrpbVgcU8ZLlXFBZkaNe36UR8KdqqR0xjYTCaMUmwoKswGItqdo1IkstnF7c+89f9NAT8bCyIYnkdxLMaQ+gZKozGCqRSm64LWWFpTGkvkXY/GUCD3/LmJY0lYVl6haACdDT71a2rp8hpYnqYkGuucJaR1NqCRCWq0cgyDZr+PhmCAxmCAuG3hKtoCZdnzbW0j74hK4ZoGrspMR9/dPWld2pr143Pd3PL2wRnT04STqU77GgDZzJ+e6i55hiKZfX10tV3rsoDrYHheNlMnvy+57bL3qP2+rQ8z+1ruLsjWeh2S2SCQAnye12XtJW0o3GyNo9ZAU47WmN1ke3lkgic/WdjMb5YmWBP3cgGb9n2w213rrvrZaYYj3Tmw2RowzHtJtHvYjovtdH2c1udXLWimJe3x60/iRB2N28WlczX8t8bh+Q0yo7IQos0DDzxAOBzutLygoIAHHnig1+31KgDUGjTouOyr5uGHH8ayLN5++23uvvtu7rzzTu6///7N7jdz5kxKSkqYO3cuALFYjIMOOohIJMJrr73Gf/7zHyKRCDNmzMjLiJk3bx6fffYZ8+bN4+GHH+ahhx7ioYceAmDBggVcfPHF3HTTTSxZsoRnn32WAw44oMvjz507l8GDB3PTTTflsprC4TAnn3xyp8yeBx98kBNOOCEve2iPPfZgxIgRPPHEEwCsWbOG1157jTPOOCNv31gsxowZMygpKWH+/Pn87W9/48UXX+T73/9+3nYvvfQSH3/8MS+88AJPP/00zc3NHHXUUUyaNImFCxfy05/+lKuuuipvH8/zGDx4MHPmzOGjjz7iuuuu49prr2XOnDl52/V0zYQQQoitofr/LQaz+/dBmSyBzAdD2+tcs6YjbRi0BHy55y0BP760S8xuG7Fvd/OBuO2gmeBMxyyXpkDnAIXegqLJre10zPjxDIOYz0faNHPrNLCqtJjl5aXYrseQ+kZKYonMB3uygQPHwe9ksiYMrVHtPvCnLIvqgjD1wQCryks7BX9y/TYMMAwsJ5t60tpGNhPD53mM2VTD2KpqgqkUlutmh05piuLJ3CxjAC3BQOYcDAPXMIjbNk3BIEmzc50gq4u6Q2hNMrv/5hjZgEt3X58qMq8To0OgJBN06T7407ahwvJ0j9spMkWwTS97/em63dZATHeBJEvrtqyebvriGUbu9aNp+1nIk60Rldum3bmb3QWYslwNb1Sn+cNnyVxAJS8GpPUWXbe8o7TP+Gr9t4efk9aAmNkxONhBzIV/rE4ye0Wyy+BPK1PB46u6roUlhPhqam5u5tprr2XatGmMGjWKESNG5D16q1c1gLTWnHXWWfj9mW+MEokEF1xwQaeIVGuAY0f29NNP5w1tOuKII/jb3/4GZIZC3XnnnSilGDduHIsXL+bOO+/k3HPP7bFNwzAYO3ZsLsPnsccewzAM7r///lwg7cEHH6S4uJhXXnmFww8/HICSkhLuueceTNNk/PjxfPOb3+Sll17i3HPPZfXq1YTDYb71rW9RUFDAsGHD2H333bs8fmlpKaZpUlBQkFe36bvf/S777rsv69evZ9CgQdTU1PD000/zwgsvdGpj1qxZPPDAA5x++uk8+OCDHHnkkVRUVORtM3v2bOLxOI888kjutXHPPfdw1FFHceutt9K/f38AwuEw999/Pz5f5s3uvffei1KK++67j0AgwIQJE1i3bl3edbVtmxtvvDH3fMSIEbz55pvMmTOHE088Mbe8p2vWV8lkkmSy7Y9yU1MTAOl0Oi+7SOwcWu+p3NuvFrnvX019ve+J2mY8U/UYBNKA9hlox8Pbgu/dUkGLtM4EKFy/iec3cHwWnp0ZqhVMp8G3+ZoMrt/I+2CbDnQOUoRwaLF6KJqsNYXxJI7PQJkGZhcfcdPt3kqGEklqSiKgNRUNLXgd+tCeYYBparxAfqCl1h8hZlkYW/AOdWRjPcsrSgk4DmllotAEXJdAKo2pNFWFBSifga9dL2w0Zam28gVFqTgpZWeGxxlG5hO91uAzMkWss9cBBYVuCkN1OCOlMfEIqC6CG+1oMkG0zW0HUOClSXa4ADaZ4tSbYykXn+o5SOgBKdLgKTKVmjozdc8BSw2YrkfC7HlWML9y2zKJdGZIW/7QxUygJpApi42FlztPS3tYbD5wGk0qWgdHeLS1b2iPAPnXu/V523KN6ngNVKYQt8q2p7W72UBpdrduGQrWNCVJp9N0HsjRjobmhJK/QVvZtvjbvrPcw05ZcjuBHe18zjvvvFzSxcCBAz93Ak6vAkAdh/qcfvrpn+vg27ODDjqI3//+97nn7YNc06ZNy7vw++yzD3fccQeu6+ZV5u6K1jq37zvvvMOyZcs61ehJJBJ89tlnuecTJ07Ma3fgwIEsXrwYgMMOO4xhw4YxcuRIZsyYwYwZMzj22GMJhUJbfK577703EydO5JFHHuHqq6/mz3/+M0OHDu0yk+j000/n6quvZvny5Tz00EPcfffdnbb5+OOP2W233fKu2X777YfneSxZsiQXAJo0aVIu+AOwZMkSJk+eTCDQVihv77337tT+vffey/3338+qVauIx+OkUqlOBZx7umZ9dcstt+QFn1o9//zzvbreYsfSVSBU7Pzkvn819fq+HxaBw3bZok3jQNMWbLe+dz3o1tsM3+w2NlC5BW29y8BeH7+613vkm7pFWxUyitZsntYP9IpMCW2YTIpMqeR8iUSC57P/v3bgZ3nvO/pu9VZoYyfU8yjDbea3kYVf/kFXw4Nb8naxCZ555gvvzVfSl/m3fWetkyu+fM8++yxPPfUU+++//1Zpr1cBoI7DhHZm4XB4i2b86g3XdVm6dCl77bUXkBnOtMceezB79uxO27bPqmk/ixdkht152RTZgoICFi5cyCuvvMLzzz/Pddddxw033MD8+fMpLi7e4r5997vf5Z577uHqq6/mwQcfZNasWV1GF8vKyvjWt77FOeecQyKR4IgjjsirEwT5Qa6O2i/vmDnW1X4dayvNmTOHyy67jDvuuIN99tmHgoICfvnLX/L222/nbdfTNeura665hssvvzz3vKmpiSFDhnD44YdTWFj4udoW2590Os0LL7zAYYcd1un1JHZect+/mvp63xvfXc3Hl/2t2/UacEwzV8Q4kkhge91kE2hNIJVm9Ka6vP0/qyjF9jSbIpm/mVPWrOPtEcOI+6xus4DGb9hEcSKR39dAgKqCcKdj14WDrCvO/g1rV+sGYGBjM1NWr6cgmcTI9kcr1VZLSGs0sHjQAFZVlOamTB+3oZoRtXWbzXeK2T4cpaiNhLB1pviu0hrL9Xh24jgSvu7vRTCRYlz1pryhSp7KZJgsrSjj3aGVXV7nTeEQG9s1e8ea4bi+tozvmG2T9NmZ+jOeh+W6WK5HuMv6TZlhVMG0Q9y22VBUkH8dc1u1zoymiKQ2nxUQ9flyr5ncvmZmRrXWzJTOPSFzP5QispnMgxbLIhbwYXr5s3y1Z3Y13K3D8RyzrRZU5w0yWTXhZNt100DC7lwo2592aE2sivmsvNdhwOk4n1kbpWBqqc2eAwPcvTSBq9teo618aSdveFYAl99GFvK9lqkkdOYVml93KPOP0e6pp+gxA6j1Hhl0nwVkKFhwVBlzVqX42QcxenpHOu/QInYtlinht6Zt8be9daSAEJ9XUVFRrz7Xb478dumD//73v52ejxkzZrPZPw8//DD19fUcf/zxAEydOpXHH3+cfv36fa4AgmVZHHrooRx66KFcf/31FBcX8/LLL3c55bzP58PtYgz26aefzpVXXsndd9/Nhx9+2GNF8bPPPpsjjzySq666qstznjBhAg8//DDRaDQX5HnjjTdyQ+C6M378eGbPnk0ymcwNM1ywYEHeNq+//jr77rsvF110UW5Z+2ypL5Lf78/1qz3btuWD4k5M7u9Xk9z3r6be3veyvUZSNm0U9a8v61QQt/WZa5uobN2ehGHjS7oo3UWBYq0ZVl2PnXbz2hixoY41pcWEW5LEbYt6O8i0Jav474ghxP2+3HFVdvtRm+ooa452+iBamojSrCziPjvvw2x5KkogmqImEqYxFEQrRUE8yfDaegbXN6LR+BKd3ze0nt+n/cpZWVwC6baqKUbKw0q4mw0AmZ6LoRSfDKugIeBjRG0Dk9ZVsbq0GJXy8LprwPOYsGYjnlIYWpM2DFKWieFqAo7D2HU11PuCLOtXnrebqxTrQxHcdFtwLKUNHN32XkalPBJW5sCmVpQkUtiuSy6MkS0cnOsK4CqwUy7h5gS1kXCmkHC7wsEemeAPykCr7utBZYINihbDBtqOkzYUnjKIGxpfu8BM6z1v3TeUSmVmdvMUgWytofbBFwUkTJNm24enTDA0fq/r4sWG8nI1grrTYtpdD2vMBgKDqTRJ2gJZjmGQVmbedobWmGTqSCVti7Rq157KBFA7FfQmE2wxgJ/sUcyoQosHV7tsSmrSut2PolIkLJNAtuZT+3NJaIO4slFe+xnQQKPzzkgDLip7Sl2FALOz4hkKfzeFoAG+Py7I4MIA5433M3uNy8dNbpe1gC4aE2D3ih4HiYnP4cv82y7vIcTW8tOf/pTrrruOhx56aKskHXyuWcC+qtasWcPll1/OkiVLePTRR/nNb37DJZdckrdNLBajqqqKtWvX8vbbb3PVVVdxwQUXcOGFF3LQQQcBcNppp1FeXs7RRx/N66+/zooVK3j11Ve55JJLWLt27Rb15emnn+buu+9m0aJFrFq1ikceeQTP8xg3blyX2w8fPpzXXnuNdevWUVNTk1teUlLCcccdxxVXXMHhhx/O4MGDuz3mjBkz2LRpEzfddFOX60877TQCgQAzZ87kgw8+YN68efzgBz/gjDPOyA3/6sqpp56K53mcd955fPzxxzz33HPcfvvtQNsf3dGjR7NgwQKee+45Pv30U37yk58wf/78zV6njurq6li0aBEfffQRkBl+tmjRIqqqqnrdlhBCiK8mpRTjbzmWAd+ZirLzvxAJjq5ADyhuC7YYirLp4xj74FmUfnMSymjLcgil0lT2DxE4YBzaaiuIm7RMWgJ+Qp5LcWUhAcdhQ2EEy/M4YOkKdl+9noGNzfRrbmHUploOWrKcsmg0t39HQ+obiSRTeYWXlacZ2NjCtBVrmPHhpxzxwRL2/2wVlQ1N1IaC1Ie7HrPSGnxY1q+sU/CrNhLq8Q1maz0cF6gqiFBVGAFlMHFDNX/dewq/O2hfFg4ZRG0o2FZ/IjuLF8Dua9ajANdQrCsuYFV5CRuKC1lXWsTKshIaAn52Wb+xU79a/L5uC0u3MsgW2laK4niCSCqNz/VyBY/bsnkMorZN3O9nUyTMitISaiLhzHkZClepvOLYrRlTScvEU53rarT+P+r35c1O5RgKjMxMcChFyjJxDCO3vrUvcZ/NuCEFDCNN3LaI2TaO0a4dpTL9ta1MTWMvU4DbI5N11XH69fbFm7u6f2nDwMzOUNf5LCCYSmN7Xod+tttaZ7KPgq7LEYP9PHl4KSePCGC128RScMoIPzdPjVDsyz/S8AKTfx1Swr79fPQPGLx+cCHTyqz8otbZjKiEZWWyeNop8RtEjPxgz/SBPv5vtwjDI/k/y6pdBlBecWhAG4rBhZn6WknLzFvfGnS7eJcQP5uayQ6L2IqXDi1i5gg//nYH7xdQ3Lp7mF/t0XmmHyHEV9udd97JSy+9xMCBA9l1113Zfffd8x69JRlAfXDmmWcSj8fZe++9MU2TH/zgB5x33nl529x3333cd999+Hw+ysrK2GOPPXj88cc59thjc9uEQiFee+01rrrqKo477jiam5uprKzkkEMO2eLoXnFxMXPnzuWGG24gkUgwZswYHn30USZOnNjl9jfddBPnn38+o0aNIplM5v3BP+ecc/jrX//K2Wef3eMxlVKUl5d3uz4UCvHcc89xySWXsNdeexEKhTj++OP51a9+1WO7hYWFPPXUU1x44YVMmTKFSZMmcd1113HqqafmxudfcMEFLFq0iJNOOgmlFKeccgoXXXQR//73v3tsu6Mnn3ySWbNm5Z6ffPLJAFx//fXccMMNvWpLCCHEV5fhsxh1xTcYdv4BNL67Bu24RMYPJFBZjHY9mpdtwo2nCA0txV+a+XBXuNsQhv3kKJz6KCrtYhYGMIoygRadSKNrm0kurUZvbKSoJIx/vzEYYT9aa+IfrafumcUUz3mLyuUbqWzMDDPwFFRHwjT7fRSOKMOqj6HW12faJJOlkLBMCpMpIskUGyMhtGGg0aQNRcy2CGYzGBKmSbPfR9q2sDwPV6kuZ2Rq8fuIdjGV/MaCCFGfTTCV7jYQlDJNVpWVsHjQAKas2cCk9VX8a7cJLB6cqTfkmSbVhQXUh4IUxRPYrsfQunqOXvQR7w8eQNJUrCsp6jTbmWsoagojlLVEKYgnSGVnUPOUwlFbWOsnG2xqPyW7oTXNth/XbDuj1iNbGsx0pmB0s88mpUzQHsow8NBow8hkurgegwstRhcHIOWyoi7JxljmmqcNA8cyMTyNodsyrjKZOpDKxKQotBR7ldscMsDHKcP9rI5DY1ozKmIwNGziac3DS6Nc+16cxqTRNnSP7PA6z8PnZoZVKa0zmSuWoiRoszHh4XiZ4JxjmqSMTCZR+6FNhbbijDEhisMWNSkYHDQ4ptJmQb3LhrjHwtoUz66K09xu2L2rMkXLLU9j43JopZ9f7xmhyGcQMBV2NjB0wAA/t07x+G9t5lpOK7OoCGSu9/njQszbkKI+5TE8YjKtws7LyBkRMXn14EI+bHR4p97FZ8CkIpPlUQ/XgwmFBqaCtU1JGhbAh0eX4Zk2b1eniLma8UUWIwoyr5UrJ0eoint4WrOkyeVvq5PUJlwspUi7mvqUxm8pDh3k55xRAQp9Bp7nce+yJA+sSFAT9yi2FEcP9vGD8SHKA/k/BcU+g99/rYBf7B7mkyYXn6GYVGxiGR2iVEJsB7Ta/KQDO5od7XyOOeaYrdqe0h2LrIgeTZ8+nSlTpnDXXXdt665sdbNnz+aSSy5h/fr1ecWZt6XZs2cza9YsGhsbCQa3r5TYpqYmioqKaGxslBpAO6F0Os0zzzzDkUceKWm8XyFy37+adtT7rldugvdXg23B10bhaVB+CyOSCXSkPlpH1b2vkXhrGWZLIlOvxlYESkM0NqdoSHmsLS0h5vcRTKUYXN9EQSLBJ/0r2FBciNKa0miMSes2UtHSeVhZQzDA8xO7HtodSSTZ77OVecNiWjMiGv0+Ph5QwYjaRgY0twDQ4vNx1XEzcHsYTm+6Ljc89QKNoSCLB/WnJeDvcQazZRWlRLNfIGkg5rP5eGB/vGSMj6/aA4Ddbvsfji9/Mo5Gv49+LVH8biaDJWmaBNJptKGoDwbxshk47bNNPMCzTSYODHLp1GKmVvj466cxXl8XR2vNpBKLE8YWMK40//2V1hpPw7z1ST5tTBO2DPbp72NdNBOk2b3cR5G/bwn7jSmPez6OsqDOocAyOH9ckP36+Vgfc/l/qxM0pzWjCk2OGBzA124mu40Jj3Uxl8aER6ENEdtgfczDNmDPCh+BHma9a+V6mpUtLq9tTJH0YEKRyR5lNiFLfe4ZbD6PHfVnXXw+2+K+7+ifE1r7f9npf8Hv27kmu0mmYtz5l9N32HvzeUkGkCAWi7FixQpuueUWzj///G0a/HnkkUcYOXIklZWVvPfee1x11VWceOKJ213wRwghhNjW1PAKGN42aUTH0IlvQiVD7z6ly32LgX61UYZsasFXGCBU4Cf6/AfEPqliYl2UUR7U1cZhQIjosCIK3l5CsDGWC3xowHZdwolkbthSey0BPy+PG82w2nqG1DcQyhY/TlsWhoYxm+pImGYuu2hpv7Iegz8ArmmyoqKMQQ1NPQd/skpicZK2jWNmJrAPpdIEUymi3Xz32ZolM7S+EcvziNoWjX4/Qc8jEkujgbLiAIdOKWFA2KLAZ1DgNykKmEyq8GF0GF520aQCLppU0OWxWimlMBUcOjjAoYPbMpTGFn/+D6lFPoP/263z8QeFTM4d3/1Qo/4Bg/4dslbGFffu2KahGFVoMapQPmoIIcT2RH4rC2677TZuvvlmDjjgAK655ppt2peqqiquu+46qqqqGDhwIN/5zne4+eabt2mfhBBCiJ1RsCxMsKwtEFBw/J50F67Qjkvi0bdI//lNWFdPi6NZHQ4zoKmZz/p1PSw8bRqsKC+lsqGJuM+XV7zY53rYrkfUZ1OQTOUNreqJYxj4HWezwR+ASDLNkPomWnw2NdkZ0IbX1PNRSRfBj2zB46J4HE8Z1AeDxH02JRZcNqmI0nAF+4wtpjAkWSNCCCG+PKZpdpoZu73eznQtAaBeeuWVV7Z1F7a6G264Ybupe3PllVdy5ZVXbutuCCGEEKIdZZkEz9if4Bn7A+CPpljzrw9wf/sig+obWV9SlJv9qbX4sqk1u67bkDcNd6697L+OYRC3LYbWNmxRP4bWNWSGlbUeqxvt61aEU2nMphaqCiOE02nGVW3io7yNNbbrYXkuNZEIwXQay/M4qMLkN8cNw2/3nJkkhBA7K6kBtO394x//yHsejUZ55513mD17dp8+w0sASAghhBBC9Io/7GPaqVNxj5vEJyfeS+H6jWwqiBD1+zC0piCRmWiiPJbotg0FWFpTFwrid11M180N1+rI8DzGVNdQHo0BMKCpmY2FBT2+kU9nh5QpIJh2CDgOCdvG7zq5bSKpNNpNApAyDfxph4JEkku/OZzjdyvt9XURQgghtqZvf/vbnZadcsop7Lrrrvzzn//k/PPP71V7Mg28EEIIIYToEzNgM+Gf38NXHqEl4MfyPFKWyfKKUiwyxZF7ooCqogJe3GU0Y6pr8DlOp+nblacpiic4Zf57uWUT1m3MTm/VOS1ek5llrH1wSAPhRAoNxO22Woet2UmKzExchYkEx+zZT4I/QgghtmvTp0/nxRdf7PV+kgEkhBBCCCH6TBkGe/79fNbM+itrtZkbmpXuJpunvcWD+rNo6CDQGp/nMWZTDTXhMPWhIK5hUJBIMm3Fag5YuoJwtpA0QGk8QUVzC5sKwpkhCrQVp06ZJkmr81vc1qnsG0P5E0u0TpM+xNZceNgwjpgkwR8hhBDbN9M0ueKKK3AcB6uLv3ndkQwgIYQQQgjxuRiRAMc+dhaTx5ViZAtSbigqoPuylVAbDGSCP5ALGlmeZkBzC7ts3MQ3PvqUn/y/l/jGh5/mgj8emWDNxwMqSPpsIskUoWSKhGURt22a/X6Stt1lfaC0abChMELC11bIWQOuoTAKAjx+wQSOnFy2TacpF0KI7YneSR87mueff57999+fUChEJBLhwAMP5KOPPuL666/vVfAHJAAkhBBCCCG2AsM0OOjmo5j1o/05MOgwZc16YrbV5ZttDSzrX97lEK5W64oLeWLqrnxQOYDaUJD6YIBP+5fz8tiRrCktzrW7tqSIxmCAlGl2WxhaAe8MqWR9STHN7QJAMZ+FigT4/fHDCPmk2LMQQojtywsvvMBRRx3FLrvswk033YTWmiOPPJKTTjqJp556qtftyRAwIYQQQgix1UT2Gc2UfUbjRZMkX/iAj657ipJEptCyJvPtY9IyWdavrOfp3JUi6vexcGglC4dW5vZXWuN3HOI+m7pQKDOFvNb4HLfTjGOtQ8OW9C+nriAz/btntH3/efrUMk7fZzjlYXlLLIQQYvtz0003ce2113L99dezfPlybrzxRq666ioqKyu58cYbOeqoo3rVnvy1E0IIIYQQW50R9hM8Zg+KXlrCf5Y1MqCphbRp8mn/cpb0L6ckliDgOJutE9SeAlCKNSVF6HaBHK0Uq0qLKEokKY3GcynuCcvik4EVLKso67K9s/Ysp1iCP0IIIbZT7777Ln/4wx86Lf/617/Oueee2+v25C+eEEIIIYT4woy++xT8v36Jhc9/yiYrMwNXYSJJwrYIOE73O/YwPKy14HPrFknLoiEcoiESZm2JRyCdpjEQYE1pUWY2sNZMI617bFcIIYTYnti2jWF0rtyzbNkyKisre92eBICEEEIIIcQXRymGXHooQy49lOjKWlLxNKHnFhH95b+598BpOKbReShYNkijOsRqNJlC0K3TyzuGQbPfR3PAn2lDa1zTwB93mLBhIwnboi4SwjEyx1Bas1upxcdf9DkLIcROQCuVCaLvRHa08xk/fjzvv/8+48ePB8B1XWbPns11113HzJkze92eBICEEEIIIcSXIjy8jDDALjPwFYU4/dcvMnvCeNKW1SkzR2k6DQ9TZGoIBdIO64sLM/V8tM4EdzyPUDLNgOZmypJJlFJ8fdNGaqIhYpEgY4cXccZhQykpUDx23pdzvkIIIcTn8d3vfpfFixdz4oknApBKpbjyyiu54IIL+L//+79etycBICGEEEII8aVTsw5gyOn7cd4/F/Lso+8RdSBlmdiuR004lD90K0sDKcNgY1EhKMW3F32A6/Px6ajBVIzrx977j2WvSRUYRvff8Eaj0S/4zIQQQoit45xzzsn9f+TIkbS0tBAIBPrcngSAhBBCCCHENqFsk7Lv7MWpx+/J+gWr2HDjkxhr6kjZFqtKillVXpKZ3h3wlCKtFD7H4fh33uPglgZCvzwJ8+CJ2/gshBBCiC/H5wn+gASAhBBCCCHENqYMReXew6n8fxeTaErwyV/+R2ThGoZYPgpHVzDp8LEMHlWGfvVjdF0UNXR3jP3HoroojCmEEGLraF9sf2exs51Pb0kASAghhBBCbDcChQGmXHQAU7paeWSXS4UQQgixBeRrEyGEEEIIIYQQQoidnASAhBBCCCGEEEIIIXYQnufx/PPP93o/GQImhBBCCCGEEEKIPFqpzIyMO5Ed/Xzmz5/P7NmzmTNnDvX19cTj8V7tLxlAQgghhBBCCCGEENuhZcuWceONNzJu3Dj23XdfPvzwQ26++WY2btzY67YkA0gIIYQQQgghhBBiO/O1r32N+fPnM3XqVC688EJOPvlkBgwY0Of2JAAkhBBCCCG2C/HmBO88+RHpRJpx+49k0LiKbd0lIYQQYptZsGABkydP5qqrruKoo44iEAh8rvYkACSEEEIIIbaphiVVvP6jf+Cva0EBScvk5b+9Q3NpIUdf/w0JBAkhhPhKevnll5k9ezbnn38+3/3udzn22GM59dRTOfTQQzGM3lf0kRpAQgghhBBim0gn0rx95Vzmz3oErzlJfThIbThEyjTp1xylf1UtT17xL6pX1G7rrgohxFeOVjvnY0dy4IEH8sc//pGqqioefvhhmpubOfroo6msrOTiiy/udXsSABJCCCGEEF+6VEuS1066n/o3P2NDcSH14SBx2yZhWzSGgqwrKaI54CeUSvP/fvgvPNfb1l0WQgghtgmfz/f/2bvvMDmqK+HDv1tVnSdnjXIOSGQQOUcBJtjGMtkWSzReG69NWtZgs4D9OWCvDUsUGJOXaIJMElHIJIFAOccZTQ6dK9zvj55pTWuCJBAKo/M+Tz+arnDrVpVGqj597rmcccYZPP3009TW1nLLLbfwxRdfbHU7EgASQgghhBDb3ef/+TylKzZQV5CPpxR0eXV+QesZBrGAH9t2eem/X9uh/RVCCCF2BoWFhUybNo2ZM2du9b4SABJCCCGEENtVvL6dyn98zIaCyMbgzyY6l/g8D9vno/mDFaxZuPVT3gohhBC7qubmZq6++mq+9a1v8dvf/hbPy2TDrl+/nqampq1uTwJAQgghhBBiu1p3/TNYWpOy+p6PRAGW5zGwuZXieIK3f/ECTjK9fTophBC7OY3ql69dybRp03jmmWeorKzkd7/7HbfddhsAjz/+OD/60Y+2uj0JAAkhhBBCiO3GWdNI+PUvwPOwtrCuT0ksTmEiybDaBmYd/ydiKxu+4V4KIYQQO94bb7zBY489xr333suf/vQnnnzySQCOP/543n333a1uTwJAQgghhBBiu2m47CFMz8PUmqJEsu+NtSZgOxhsfGhVKYcPL3iI9vroN91VIYQQYocKh8MUFRUBMHHiRNatWwdAfn6+DAETQgghhBA7H6017fPX89HpfyW2uI7a/Dxs02RIU0smGV/rnndUitJoLLO+YxsFWMk0d1/5LPfc9ynJlLO9TkMIIYTYri655BL++Mc/orUmEomQSqUAeOmllxg5cuRWt9f3wGshhBBCCCG+Iu16rLrtZdKP/4uVBQW8O3o4608ZA8BhS1Zw2twF7L1mPXMGV6O0RncWg9YalGJwUwvhZArXNAFwlMLSGqU142rreebLBpb+/J/c9N/HEs4Pfu3+rmlN88DHDcye30Ta8SguCHDRkQM5dEiYYr98byqE2L1olXn1J7va+axevZpnn32Wd955h9GjR5NOpzn11FN59dVX+dvf/rbV7UkASAghhBBCbBPa9UgsrMFL2NiOx6qfPUm7rXlrr4msLCvO2fbzQQM47YsFDG5uI5KyWVZeQm1BJjOoMJlidF0DJbEEa0qKUIAGDK2ZW13J6LpGKtujjKupY+GACv72kxe47P6zv1bf7/u4kd9+UE/K8qGsEPlOinRtlP/3xCJ+bZnk71HN/x5Zwqh8eXwWQgixfbS2tnLMMcdk35955pkMGTKEX/7ylxxwwAFb3Z78DyaEEEIIIb62xqc/ofaut3Dq2oFMwCbhs3hjwhjWlhRlNuoy3Xt7KMjbo0dw1OLlFCaS2KbJ8vJSosEAAKtKixm1oYHyWDyzK6C0JpJK8c89RvPdj+dy0Qef8ofjDuPLYIRHr/g/jv3pkVSOLt+qfrckHC5+YS2vJf24xcWgM3PENOTn4XMcRtc1ELIdUp+v4bD6FK+dXompNfd/0U5tzGFoocXZY/LZuyLwNa+gEEIIkeuZZ57Zpu1JAEgIIYQQQnwtq371D1r+7xM0ZCfYVUAwbTO2tp41pcXd9jE8j4+HDiScTLK0soyVZSU562sK86kpKmDi2lrG1GVm/TKAYY0tvDtqOLNHDGVYUwuHLVvF83uNp2ltO09d+xLHXXss4w4YvEX9vvXZZcyqM5k7oBLP6Oi5UnRWJLJNk0WVFZS1t2NbFuFEigumLyactrOFNBdbJo/NDVMasrhgsEVDfZza1jQq7GP4sEIuObCckqC5NZdTCCGE+EZIAEgIIYQQQnwlTiLFkpPvINWUyGTodFnntx3yUmlsy8TwPExPs8+a9UxYv4HSWJyA45D0WcyvrswEf9QmhRk63n85sJLq1jbyUmkALK3xDMXCqnKWl5Ww59oa3h49jH1Wr2dgSxvp8xbzyj4jOeyO75BfVditz499VJf9+dU6h9a8QjylQCkMz8PyPDQK2zRAKRxTsb64CG0o0Jqkz2JYY0u2KHXAcRnU2o6vweaVld7GIJhSrFnaxBtvrmJpVRlDhxRwzd6FnDjAh7HpuQohhBA9OOaYY9C9TZSwiZkzZ252GwkACSGEEEKIrZKua6ftf14j/fAsaqrKKdlkfcC2KUikqMuPEPf7KY3GuOzdDynsmPa9s6YPwHN779HnsRSwoqyYSes2oIG6vDCWp/GUYvoh+2NoTX4yxYaCfMbX1FGYTDHi9WZSe89h5o/P4IhrjsE0M/k6Vzy3ileWt2XbNpSiOS+MoTXFsTiRtJ0NYtmGQWsoQDQQwNAal0yQqCkSJm1ZjK2tz0xPrzV+x8HnehiAp6ApHCZhWZTE44TTNhPX1rLIdpm2JoYRttgzqFnTlEIlbQxTsefQfO44vkoyhYQQOxWNQtO/Ata72vnsvffe27Q9CQAJIYQQQgic+naiM74gPnsZ2C6MrmSmG2T1hgSGgmHlQfbNV6TfXIC7uJa1xYW8fdyh7LtqHUWJBKbuCOpojeFpGvIiRIMBhjY0ceL8xeQnUzmP3Z0/N4dD2Wyf/ESSUXWNlEXjuIaipqiAZWUltAUzM3y1BgO8OX50pr+WBVrjKkVTxOSlSeN4ffxo/v3N9xhV30TQdjjkj8/wl6jLAVccwby3lvBKW5iw3WXa+I6+VsRiWJ6X0z/L8yiLJTA9TWuoywxjShENBogF/JS3RfF1mZ4ewNBQGovjKsXK0iKGNTRjAiMamlhaUcp6I8SbjgEFQfwhh/L2KG/WpBn9WA3jSnwcOShEUhnUpjT7lVhcOiJAnk9mIBNCiN3RH/7wh23angSAhBBCCCF2AtpxYc4qiCZhVCVqcCkAbjyNdlzM/CAtyxtpW9OM7XjkDS0lHFBYrsYK+/GV5ZFOu3iuRyBokVhSh5dyCA4txSwIEm2OM/+dFdjvLSbU2E5hZR5Fx4wlXVrAhoc/IPav5TgYJP0+FlaWs2aJDcrJDnXaEI3yodaMT/soqCzjg9HDMwEYQxH1+0EpLM8jaDvEA360UuSlbcqjMYo7Mn96YnkutmExsq6RA1auzcz2RSaYVNEeY8L6DcyrrsQDZo4bhW2a2Wnhs8PGOv5MWSZ/PvpQbn92BmHbxvI8DpzxEck35vD2YQeQP7gar8ux81NpiuOJbsEf2BjQKUokaff7cc0uQRitWVOcGToWcBxKYwnMLin6CjA9j9F1jUCmltBHwwcT8/tyhrqlLZN1JUVUtGGEZK4AAQAASURBVGYKZ3/R6vFZewKtwDEMnlhtcMMn7YwOKU4Y6OPFFQmctiSm51ERtjh3j3yK8wLEXU3UhaWpzMGnDg5wSLkPT2tWtDmsancpDhhMLPXhM3r/9ltrzbqExtWaQWED8ysMVWtMeTSlNZVBgwLfrvVNuxBC9HcSAOrHLrroIh566CEALMti8ODBnHXWWdx8883U19czfPjwHvf74IMPOOiggwBIJBLcfvvtPP7446xcuZL8/HyOOuoobr75ZvbYY2PK9k033cTNN9/cra2xY8eycOHCPvs5adIkJk+ezH333ddt3WOPPcYFF1zA2rVrqays5O677+bOO+9k6dKl+Hw+hg8fztSpU7nmmmt6PPaKFStYsWIFAwcOzFkXjUa59tpree6552hsbGTYsGH8+Mc/5vLLL++zr0IIIcS2prWGh96F37wIdR3DkxS0HDiamsIC2hdtoC4vTHs4iOpSBsADWkJB/I5DQTJFbWkRLYHMTFQh12FIXRPFsQSN+RGSPh9ojeW6RFJpKtujrF9gsOadZVS3tFHiOJihIMvLSlhdVMCazlm7ICdgoYH51ZVUtLVT0hZlREMTJYkk8YA/u01bMEBRIknQcQEIp+2c4tCbmlBTR01BPgeuXNt56jl/Wq7HnmtreWfUUOIBP67K1OLpVjOoo69Jn8UHI4Zw7KJlNIeDhGybSDrNO6OHU5hM5WxueR5Bx+m5rS7y7DTN/i6PzUoR9/tZXVIESrHc8xjR0ERFeyy7idElM2hVaXG34E9nOwB1BXmUt8WoL/Dn7G90BNTY0Mw/1vmwDYOUZeFYflpsxS/nxEDFs/u4ShEN+vmfZTYBPIyUg+o4huF5lBoe1+6Vz6V75GWXQ+bv4L0r0vy/RUmWRjMhsuqg4t9HB7l6TACrj6BRp4+aHP7rywT/3OCgAUvBdwf5uGViiBF5MrRNCCG+ipqaGn72s5/x5ptvUl9f360ekOd5vezZMwkA9XMnnXQS06dPx7Zt3n33XS6++GJisVg2YPL666/nBHIASksz3zimUimOO+44Vq9eze9//3smT57Mhg0buO2225g8eTKvv/56NlAEsMcee/D666/ntGVZm/8rNm3aNP7rv/6LP//5z4TD4Zx1DzzwAKeeeiqVlZXcf//9XH311fz5z3/myCOPJJVKMXfuXObPn9+tzffee49kMsl3v/tdHnzwQW644Yac9T/96U+ZOXMmf//73xk2bBivvvoqV1xxBdXV1Zx++umb7bMQQgixzfzpn/Dr53IW1UUirKmJ49TGWVJRhqX1xqI5HQygOJGkJRRkYXVRNlMHIKEM6vLziAcCG5crhWOatEbChG2bietqKUqm8DraKonFGdnQxKvjRrGqoqznvnYEXzzDYExDE4bn4SpFzsd7rWkJBRnc1EJe2sbfEQjqzUHL1zC/qiLbj00ZZAIU4bSD1hrdUbC5L18MrGRBVTmfDanObA8ctXg5I+obOfLzLzimYzvTtjfbltIan7vJA7bOVMbo3NdViiUVZRiepiwWz04lD5nbtra4cLPHSfos8pLpbH0k2zJJWyZJn8Xq0mKKo/HM/YRumU+dDK0pSKRoDSlSpgF+H0Hb6ahNpKjH4rqP21kfc/nV5KLsfv/+WZz/WZrOCdKtT2qu/SLB7CaHpw6O9JkN9FadzYnvRnG7/DV1NDy11mZGrcPsY/MZky9BICF2NVplXv3JrnY+P/zhD1mzZg033XQTAwYMyAnefxUSAOrnAoEAVVVVAJxzzjnMnDmT5557LhsAKi0tza7f1B133MEHH3zAnDlz2GuvvQAYOnQoTz/9NJMnT2batGl8+eWX2b+ElmX12lZfzj//fK655hqeeuopLrzwwuzy1atX8+abb/L8888D8I9//IOzzz6badOmZbfZNHjV6f777+ecc87hyCOP5Morr+T666/P+WX54IMPuPDCCznqqKMAuOSSS7j77rv5+OOPJQAkhBBiu9EbWuHWF3KWpUyTNcWZ2avWlBRlHlZ1zxk0iswQpeZICMfc+AE76Ljkpe2Ojbrs2fHz2Np6CjqyYTqDLp1/NkfCvWfYdLTRFAkzsqEJTymiAT95qfTGIVAdQaLWUJDK9hhqM7OXlEdjDGxt22xZzqFNLdTnR/A7Ds2RME2RcK99XFxRhm2Z2eBP5/mtLCuhsroSvsgs+/NTL/LtKy/bbHCmOBanIS+cnS0MpTC7BoU6znlVaRGlsXjOuTiGgW1tPviR7AjWdM6m5ndcfI5LLOAn5fPRHgxmrnEffe0MHkVSaVoiIdAaxzTwu152v7Rlcue8KOeOiTC22Mf7DQ7/szQzw9qmd0oDz66zeWqNzdQhfnriac2FH8VwPNj0e2hHQ5uj+dGcOK8ekb/ZayCEECLX+++/z9tvv80+++yzTdqTinK7mVAohG3bW7Tto48+yvHHH58N/nQyDIOf/vSnzJ8/n88///xr96m0tJTTTz+d6dOn5yyfPn06lZWVnHzyyQBUVVUxe/ZsVq1a1Wd77e3tPPXUU5x33nkcf/zxxGIx3nrrrZxtDjvsMF544QXWrVuH1pqZM2eyePFiTjzxxK99PkIIIcQW+78PczJ3ABryIkBmFqrmUBCft/k5SwoSuUOb8pOpbh/mOxXH4pTH4r0+BKbNzQcrvE0yUJKbZvwqRVsouHE7ugcXcjbfgiluFZnp303PY9816zl4+SqC6Z6fadKWhWf0cIZK8d7oYdm3JdEERy5a3u0ebLpPYTLJ4MYWimIJQqk0puNmh3h13S7p8xHz5wZKTM/bovPLnGPuzwoI2TZonQkibcE3vwrweR6Glwn6OIbR7dq7pskjizPD1e5ensTqo1lTwZ3LUr2uf6POYXVcdwv+ZI+l4bUNDitjfWeCCSGE6K66uhrX3Xb/fkoG0G7kww8/5NFHH+XYY4/NLjvkkEMwNnlAam1txTRNFi9ezNFHH91jW+PHjwdg8eLF2anpvvjiC/Ly8nK2mzp1ao+1fTb1wx/+kClTprB8+XJGjBiB1poHH3yQiy66CLPjQfSXv/wlZ511FsOGDWPMmDEcfPDBTJkyhe985zs55/D4448zevTobHbQ1KlTuf/++3PO5c9//jP/9m//xqBBg7AsC8MwuO+++zjssMN67WMqlSKV2vgA1NaWqdNg2/YWB9XErqPznsq93b3Ifd897cj7rmuaIOIDe+PH5/b8AF7AIBoKYvgN1Bbkq/tMjdHlqc5vaFQvBXjLk3HSQbPXAFBlKsYKsxTd2wZaZ+rSdLRvGyarC/Np65gpqywaZVhjM37X49W9xnDQijXkJ5PZ43UdGqWAmOVD+xWeYfQa6NJAc1EYw6dI+IKkk3FCrsP+69fx4fDBG4M9HYEW14DeGlNOl1BFwOSKWbP517ihmSDJpgEWrfE7LhHtUJWMkQ77CNkO2skEe7pub7kuZdEYYW3jM7zsMDAFDGlvpT4/kpORlNspCLk2luohUKRBeWCiCaot/xAQ0TYOZqZtHLqG4gylqWlPYds2i1vS+LSLr7eGNCxvc7HtYI+rl7SkCOP0GeADWNySYqC/16NsF/Jv/O5pR9x3+TsmtpU//elPXHvttdx1112MHj36a7cnAaB+7sUXXyQvLw/HcbBtm9NPP53/+Z//IR7PFAx84oknssGcTuYWfPPXWXyq67CqsWPH8sILuWns+flblu57wgknMGjQIKZPn86vf/1r3nzzTVauXMkPfvCD7DYDBgzggw8+4Msvv+Ttt99m1qxZXHjhhdx3333MmDEjGwS6//77Oe+887L7nXfeeRxxxBG0tLRQVFQEZAJAs2fP5oUXXmDo0KG88847XHHFFQwYMIDjjjuuxz7edtttPRa6fvXVV7vVLhL9x2uvvbajuyB2ALnvu6cdct8PCMIBx/a6unwLmwkDuYOwA71u20A57zKh1/UmcCjQd86OBWQmWAgCuf/bFwFFpDuWz2NAH+1suXxgYwJ8Zfank+g9O6UnyWSSB/8n8/PM248kGAzyXyzdwr3X9L26pLcVjZtv+pt8lOhp9FYMXn4Zrutt/SZefrnn5QOBR7dg/8TH0EsT2538G7972p73vfOz1i5Pqd4D17uqXex8vv/97xOPxxk7dizhcBifLzeQ3tzcvFXtSQConzv66KO566678Pl8VFdXZ//CrFy5EoDBgwczatSoHvcdM2ZMjwWWgezMXl2jkH6/v9e2NscwDC666CIefPBBbr75ZqZPn84RRxzRY5Rz4sSJTJw4kSuvvJL33nuPww8/nLfffpujjz6a+fPn869//YuPPvooZ2Yw13V57LHHuPzyy0kkElx//fU8++yznHLKKQDsueeefPbZZ/zud7/rNQB03XXXcfXVV2fft7W1MXjwYE444QQKCgq+0nmLnZdt27z22mscf/zx3f6hFf2X3Pfd046873pVAxz53znLmsNBVpUW4yiD+dUV+G0HXw/TlGfbAFaVFuXUACqMJ8hL9fwNdHl7O4ct63s49exhQ3hjwihUZ9FlyGbXFCRSjK5rIGVZvDN6GK5h9Jg5Y2jNuNp6Aq7D2NoGChJJ3h0zgpjfR01BHnaXYWOG63LU4hWMq2vIKQbdmavz2eBqagvzs21XtEcpjifRQEs4yLwBVRQmk5RFYyysKu95+FcHt0u86Ohr3ybPNrjgB2cTDQZIWxaOaYCGoGNjel0Ka/t8LC8rIdQx7My2TOI+HyXxOGPqeg7waDLD25TWNIVDLKiuxLbMzHUFUArLdQnabp/D/JKmScBxtqj4pyYzfLAtHMzM/OZ5mRpAXfhthyePK2VypZ/7V6T52efxXsN9poKfjA7yXxN6zgBqSnuMndFGuo+JaKqDii9PLPhK08pvS/Jv/O5pR9z3zpECQnxdd9xxxzZtTwJA/VwkEvnKQZmpU6dyww038Pnnn+fUAfI8jz/+8Y9MmDChW32gr+MHP/gBt9xyC8888wzPPPMM//u//7vZfSZMyHyDGYtlxrHff//9HHHEEfz1r3/N2e7hhx/m/vvv5/LLL88O2dp06Jtpmn1OoxcIBAgEun+j6vP55CGiH5P7u3uS+7572iH3fdQA9NSDM9PAd3wCL0tGqQtESFkmxS0xmkMhfLbb41TqGmgOBUl7Rk7CTrvpJ2JnCvtuuk+9P0xCm0RS6R6HgXlARWMbx8xdwtyBVWwozHzJ4XdcqlrbqWxrz0xtXlJISpvg9VKeWms2BCMMam1jWVExE+J1xDBZXlCU2cTtup/Fq6NHsSEYYY+aOooSCbRS1BbksbyshPZQEJyNbQfjNtiZIVYFrQnGOxuyQaii1gR1+ZFev+W1u4xts5IuvrRHTTifoONgpD38HWEnD0Vn2E0DG4IRkli4RqZwdTQ/j5Q2qGiKkvZ6H74GUJsXwdSagXUt1BbkkfD5KYnHqY+EsFxI0Xv2tQYK2jIzgPUYbNtkW4DmQBC34zyDroPLxiFySmuOrAxy6MAwSinOHW5x62KbmqTG2SQKZCrIs+DS0RF8vp6DapU+uGRUhN8t7r3u1HUTwwT9W5AmtJ3Iv/G7p+153+Xvl9hWLrjggm3angSAdnONjY3U1tbmLCsqKiIYDPLTn/6U559/ntNOOy1nGvhbb72VBQsW8Prrr+d8E+U4Tre2lFJUVlayJYYPH84xxxzDJZdcgs/n4zvf+U7O+ssvv5zq6mqOOeYYBg0aRE1NDbfccgvl5eUcfPDB2LbNww8/zK9+9SsmTpyYs+/FF1/Mb3/722ww68gjj+TnP/85oVCIoUOH8vbbb/O3v/2NP/zhD1tz+YQQQoiv7zdTIeSH+94C28VQMLqugaUDKxjc3EbKZxHrmCHK6lJM2AOawyFaggH8rkvasjLFhlVm5qmmcIjSWPdhCJbWrCvMZ1RDM3heNgjU2XJ9XoS5g6oIp21Om7sAxzBYX5hPSyScE+SoLcjvO5VeKVrCQQa1tpG2LMKpdGafjnU9bf/54AFE0mk2FA7uediB1gQcJ1ODqEuffa6bzSiqaovSGAn1GCxRnmbS2o3PKh7QFAnREg5RFo1h9ZBppYGUZdIczsyq5Xfd7LTwfsch0ksh6q77a0NR2zEs3tJgao8Bre2sLS5E2Q4Bp5cMoI56SwWpNCHboT4/L3NduhaV7vosZhhEg35c08TwPPyOg6E3bqe05ltVJvceVZp9hsv3Kd46Kp9T3ouysN3DUpmgoa2hMqD4x2F5DAr3PW/MbXuGiLuaO5elMVQmg8vVmQDSrZNCTBve+5BEIYQQfUskEjzyyCN8+umnGIbBvvvuy/e//31CodBWtyUBoN1cT8OdHnvsMaZOnUowGOTNN9/ktttu4/rrr2fVqlXk5+dz9NFHM3v27G5Blnnz5jFgQO44/0AgQDKZ3OL+TJs2jTfeeINLLrmkW12d4447jgceeIC77rqLxsZGysrKOPjgg3njjTcoLS3l6aefprGxkTPPPLNbu6NHj2bSpEncf//9/PnPf+bxxx/nuuuu49xzz6WpqYmhQ4fy3//931x22WVb3FchhBBiW1CWCbd8F/3Tk+HVLyCWIjCmigkHj6Ltg+WUv7OEuoY4tSlNynYh7UI0hdmeYGhzKwdqm/wxlcQOGk6t8uFpTXlxkEHxODppUxdzaGpO0rBgA3ZbnEgiRSwQYEVpMYWJBAXJFKanaQ8GWFNUSH1BhITPR1swSMIy2WdNDYWJFLGAn7RlZQNG7pYMR+rYJpi2KYgniAc2nwXitx3K2mJolRlm1RoKZqdZNz3NwOaNU8YrwDMM/M7GAJDfdRlX28Dy8mISfn92SnvD8zh42SrOmv1hpu4N4BmKX516HChFYyRMQTJFeJPirdGAnzXFRdlhZcWxBJ4Cn+NSFY1t9nyA7IxhuuNVHEsQ9/sojifQZAIz2jCyfe380+e6FCSTuIaBT8H+BYqFMY92nZmKXgGHVfn5/tgIYb/JrGYPDZxe7WNli81fFsRYE/ewDMXh5RY37pvP8ILumQkj8kzmnVjAaxsc3qizcTUcWmpxWrUPn7H5+2wqxV/2jfAfY4M8vsamPuUxJGxw7hA/ZQGZdFgIIb6quro6jjjiCBoaGhg9ejQff/wxo0eP5je/+Q0zZ86kurp6q9pTWuvesjWFEH1oa2ujsLCQ1tZWqQHUD9m2zcsvv8yUKVMkjXc3Ivd997Q73fdUe4qWVU3YSQd/QYBwcRh/xM+y2auJtSSIFIcYedBQTL/J0sWNtG9oo23WctbPq2VDWpO2LIqDBkZzjJVFhawpLe69QKjWFMUTjGpoYlxNHeG0zT1HTO61b0XxBPutXMOe6zYQdDbOWtUW8DOvupJoMEBxLIHP87LD4VylsoGZtmAgU7AU0ApWlRQT9flIDCpl/6DLhGdnMW5tLb5YG1V19wDw3Z+9xIqqwSRNE88w0EoR81kEHQdQxP1+Uj4rez7htM2IhibWFBcQTjuEbZviWGKzNUVXFxfSEs58U5s2DYbVN9GQH8n2XQOWqYiE/LQohWUZjI4Y7BvRBBQcMjjMcSPzs1k7rqdJuJqwpTB2sYKmO9Lu9LsuNtoR931X/5zQ2f9Lpj2J39+/JrtJp+Pcc//Zu8y9+cEPfsDq1at5/vnnqa+vZ88996S9vZ1LLrmE1tZWnnjiia1qTzKAhBBCCCF2E4H8AJUTu8/KNf6Y7vUCx44vh/HlcNRIPM8j2pTAMBSR4hBN9XHu/Ok/+p4dRikq2mMEbZuBLe2kzS4ZLpsev6aOoxYtozCRzE6d3ik/lebgFWtYU1RIU97GDyJOl9lpOjNrPKVoDQVpDIdI+SwmHDSYfz8vk7Gc+NGBHPfgChqa2+CaTABoWXkpnlLkpdK0hUMoIGI7RAN+kpa1sa9aUxxLMKCtjbjPImA7hGy7Y4iVh6d6rgGkyQSpWkNBbMMglE5T3J5iQ34eht8kZMDoIh/nTijgtFF5hHqps7Mp01DkbUFmjhBCiF3byy+/zNNPP01eXh51dXXZ5T/5yU847LDDtro9CQCJb9y7777LySef3Ov6aDS6HXsjhBBCiK1lGAYFZZHs+9KKCOdfOZnfPTyPlkg4N7DT8XNVaxsjGxqZuG4DfsfB7yoGNbeyrrgwJ3BU0RbliCUrCKftbsEfurwf2NpKQ144U9sHssfzyGT/LKyu3Hh8YOKeFVw2deN09yGfyaPfHcL3H12UXZY2TSwg4LrkJZNEAwEUkJ9MESGFY1kYnkt5W4yA55G0TFzDIC9tE7RtTM9jaXkp1a3tBBwnp6h2Z4r9kvISEqZB2LY5vjrA76cMx28aBEwJ4AghhOhbe3s7gwYN6rbcNM1ukxptCQkAiW/c/vvvz2effbajuyGEEEKIbWjYIcP5c4GPx371OrPKyjO1eoDSaJw91tey/6p1RDqKNacsi0VVZdnizV0DRpPW1QCZ4sp9hUSUhuJ4gob8vJzlBmSmiNcds4IZmkt/dgjDhhV3a2NokZ9Xzh9O0ZUdbUI2oBSyHfyOS9Jn4RiZqdoDiSQBJ9PnBWUlOL7MNPFtAT9u5zT2SrGivITRGxoY1NKG2RGAChYGSQ0s4fDiIPuW+rhwYgFFgd5n+xJCCCE2NXDgQFatWsWwYcOyy9LpNLfccotkAImdUygU+spT0QshhBBi52VMHMQ5T1zI1NnLcL5cg+e3mDVjNUZDMy3hEDEvM1tWa8DPsooygq7LiIYm1hcWkPBnanEMbm7F8nSfwR/IZNQEHLfbVOMJn0VxPMHQphb2HprP5D+f3Wc7VpehUw98q5rbZjTQ5HlopTChY1avjYWgtVK4wKD2KK5SrKwoYVieRdTWFJiaCuXSZimKx1Zw1KBBfG+Aj7KIRX5IHrOFELs23WWobX+xq53Psccey7PPPsuRRx4JZGYEKy4uZsiQIcyYMWOr25P/mYQQQgghxFemlMI8eBTmwZkve4698HDq31/Kor+8TWp1E6bjMriljZZwiLUlRYRsh5ENTSQtk7RlYbke3Sdf79mG/DyawyEMrYn7fWgUo+saKI/G2evAakbd9u2t6vuoijBP/3hP1jYmuOLBRbQlXbTWqI5i0pCp4dMUDhELBpm6bzG/3q8QvwzfEkIIsR387ne/o62tDYDy8nL++te/MnLkSI466igsa+vDORIAEkIIIYQQ21T5oaMoPzQTEErG0sz5n7eY8Mj7+D2PVSXFuKZB0HEJdhRcLkymsA0Dy+s9FKSAuYMHEA0GMgu0Zr9V6wgGTCZffwLlh331bONBpSEeuWIiL8xp4IVP62mM2ihD4SsKMWJEMedOKmL/cv8WTYkuhBBCbCt5eXnk5WWGPufn53PppZd+rfYkACSEEEIIIb4xwYifg689gfTlh2NPvYeJcxfQlBfGU4rVJYU0RUIUJVMk/D7yk6nsFO9daeDLjqngldZowNSaSVcfw/7Hbpth5vkhi3MPqeLcQ6q2SXtCCCHEzkYCQEIIIYQQ4hvnLwyx12OX8OaZ/8u4dXWkTJNPhw7k8CUr8DkubeEQ0YCfSCqNgpxaP8vLipkzuJr8RJLq1jYKPIfTHjqfkoLAjjodIYTo9zR0q7u2q+tv57O1JAAkhBBCCCG2i2BRiNh/nsWjD7zPsQuWU5BIUh6NZ9Y5Du2BAG3BAD7XI+A4BBwHy/MY2NzKtPc/JhbwAzDpw+sxg/4deSpCCCHELkcCQEIIIYQQYrs56+gh/HVDjMZVNVS0x/DITOUedFyCTrzHfQqTabyOmVuMAYUS/BFCCCG+AmNHd0AIIYQQQuw+TENx1ffHM6DQh+W6W7yfYxrYpsEeL171DfZOCCGE6L8kACSEEEIIIbYrpRSFJ06ksrVtsw+jnTUovqwsZ8I/f4LpkwR2IYQQ4quQAJAQQgghhNjuqr+9Lwmfj4Rl4vWyjQY8pfh0SDX7/OhIIhUF27OLQgixW9NK9cvX7kwCQEIIIYQQYrsLDyyi6qcn0BIMZR7K2Tg7S+efjqFYU1hAaNIgRn177x3TUSGEEKKfkBxaIYQQQgixQ4w4fzL+kI/1t79MOJEibNsoDa6hiPn8xP0+AqftzWm/nLKjuyqEEELs8iQAJIQQQgghdphB39mXimPGsPavb9M040u8hA2mQeSwUex11dGER5Tv6C4KIYQQ/YIEgIQQQgghxA7lL8ljxI2nMPz6k3HjaYygD8Nn7uhuCSHEbk0r+l3NHN2/TmerSQBICCGEEELsFJRpYOUHd3Q3hBBCiH5JikALIYQQQgghhBBC9HMSABJCCCGEEEIIIYTo52QImBBCCCGEEEIIIXLojld/0t/OZ2tJBpAQQgghhBBCCCFEPycZQEIIIYQQYpfjOS4bZi2n/t2luAmbyJASBp06iXB14Y7umhBCCLFTkgwgIYQQQgixy1i1to277/wXT518F5/f8ALrZsyn9u0lLP/7h7wz9T5WPP7xju6iEEKIfubOO+9k+PDhBINB9ttvP959990t2u/999/Hsiz23nvvb7aDW0gCQEIIIYQQYpcwd0EDv7n9PQqf/Yj8ZAoA1fFCa9Cw6K9vU/vW4h3ZTSGEEP3IE088wU9+8hNuuOEG5syZw+GHH87JJ5/M6tWr+9yvtbWVCy64gGOPPXY79XTzJAAkhBBCCCF2eqmUy713f0JxNE5RMtXrQ6wGlj00e3t2TQgh+iWtVL98ba0//OEPTJs2jYsvvpjx48dzxx13MHjwYO66664+97v00ks555xzOPjgg7/qLdjmJAAkhBBCCCF2erM/XY9ju1S0R/H62E4B7UvrSTXHt1fXhBBC7GLa2tpyXqlUqsft0uk0n3zyCSeccELO8hNOOIFZs2b12v706dNZtmwZv/zlL7dpv78uCQAJIYQQQoid3uz31jCwuZW919Rg6s1P5Ou0SgBICCFEzwYPHkxhYWH2ddttt/W4XUNDA67rUllZmbO8srKS2traHvdZsmQJ1157LY888giWtXPNu7Vz9UYIIYQQQohNzHp3FfrTlUz74BMawyHWlhR128YDWsIhXMMgP5Hk0+uf5/BHp233vgohhNj5rVmzhoKCguz7QCDQ5/Zqk6FjWutuywBc1+Wcc87h5ptvZsyYMdums9uQBICEEEIIIcROq7G2ncce/YJ/+2IhzeEQ0VAws0JrUAoNrCgtZklFGWmflV0XSaUZ88V6KidV77C+CyHErkx3vPqTzvMpKCjICQD1pqysDNM0u2X71NXVdcsKAmhvb+fjjz9mzpw5/OhHPwLA8zy01liWxauvvsoxxxzztc/jq5IhYEIIIYQQYqf10vRPqGhtRwFtoSAoRSRtZ1ZqzcLKcuYNrNoY/AFQiljAz2/u/JTW1uQO6bcQQohdn9/vZ7/99uO1117LWf7aa69xyCGHdNu+oKCAL774gs8++yz7uuyyyxg7diyfffYZkydP3l5d75FkAAkhhBBCiJ2S1prVC+sY1NpGLBjANgxs00QDAdthXVE+SytKe95ZKVLAI79/lyt+dfz27LYQQoh+5Oqrr+b8889n//335+CDD+aee+5h9erVXHbZZQBcd911rFu3jr/97W8YhsHEiRNz9q+oqCAYDHZbviNIAEgIIYQQQmwXTtph5RuLsV+fhy9tUzJ5OMXfPYCUhkTCIS/Ph89nZre321Mo26EsGqM5GKS2MJ+1RQW0hUOgNZbrYXgaz+xlWl+lmF+fJhVPEwj7t9NZCiGE6E++973v0djYyK9+9StqamqYOHEiL7/8MkOHDgWgpqaG1atX7+BebhkJAAkhhBBCiK9Na828lW2sXt6E33HZb58BFFdEAGiraWPJW0touXMme6yuQQNzBw3giSaD5rfrsA2DAa3t7LmuhopUCp8FcctHq1YMC4fxNCypKGV1WUm29g9KYStFwPNIA67Zc2UDbSjmvbqIfc+YtP0uhhBC9AMahe6h0PGuTPPVzueKK67giiuu6HHdgw8+2Oe+N910EzfddNNXOu62JgEgIYQQQgjxla2cs44ZD33KhsYEnlK0B/3E/H6eeX4RAdclP5FkcGMzB6xez16t7SR8Jq+PG03aMslPpGgMhzl53iJGNDbj0VGgUmtCQLnWjKYJgMGt7cxNpZlXXbmxKGnHBxO/55E0ev6gorRm8ZNz2Of0iT3O2PJ1eNEk0efmkPhwOWgIHjCc/DP3xcgPbtPjCCGEENuCBICEEEIIIcQW01pDLAWWyex/zOftZ+ahlaJzAt1g1KGcOCnLJG2aeKbJhqICBny5mNZggPq8CBNq6vCUQmnN5JVr8Ns2mo2zkyjA0Lnf1BYkUxy2dCXVLW28NmF0TrBHeR6Dm9pZXVqc01fleUyoqSNm2zR/tpaSfQZv8Xl6WvPMgjb+b2E78+OaZp8fbRoYrkd+MklBNIGOpnDMPIyBE0n5TJqjQYrvW84Z4wq49MgBVIfNzR9ICCGE2E4kACSEEEIIITbLjiV5+dY3mdnk0hQK4XccRjY0AxC0bYK2g1aKhM+HbZkEHDcT5AHGr68j5vfRmBfJBnlMvXFyYduySAIhxwGtMTpWdc3X6fx5ZEMTK+oaWVJZll2nDQOUYlhDEyvLSjLbex6Wpzly8XJAsfCRjziklwCQ9jz0kg3w9kKI+PmytJSfLPaIxdM0RSIYaAIqSTTox/I8op6m3fTjlARpCYVI+X0dDWlqPY9FTZo/Pd/E88cUcli5D6XA6GfDKIQQQux6JAAkhBBCCCH6lGxN8J/XvcGy4iIoztTgGdLYjM9xqWprJ+C62WFZCoj5fdRHwhy6ah2j6huxPI/6vAgJy+RfI4bw8dBBRAN+SmJxDlqxhn1XrUNbFgHHwdSgodcqDR4wcX0tnw8eQLpjRjCf61KsFEcsX8PK0mJQiuJ4gm/PmUdlNI4GFn+ymoe+9yAfDSrPtrXy8NsosoKU1rcQTKaxOoJSk4Brxo/iv08+hspYLHtuVdEYCcukKRymNRyktaMYdZZSuIaBpzRJ1+O7L24gbGemrB9X4uPnk0swgz5abc2ofJM9CuVRXAghxPYj/+sIIYQQQogcWmsWro2yYkMcn2Uw677ZLCsqyqzsyGQpicYZ2NKazeTpGrCJpNLss3o9RYkkCrANg6ZImL8edRAt4VAmoKIUsYCf1SVFvDRxLEObWwilbc6bPYeiZKrXvhlASSxBrDPrRikc02BxVTl7rathypeLqGyPMrSxBaU1lufhd1yOXrSc+AofE+cY/LWjrRRgtcTIS2w83uriQh49YC9emTQO1zBQm5xb0HEpjcVZXVKYcz2ylEIDXke/UtoEpfi8zeOCV+tJ+CyigQB+x6XU1FwyJsQVE/MpDm4cLuZpzYakRimoDKgeaxelPc0L623mtriETPhWtZ89CmXImRBi29Eq8+pP+tv5bC0JAAkhhBBC7Ia0p1m7rJEvP1jNmiUNeJ6mfGABeQMLeePjOoqXrGNocysl0ThFVeUU+YK0hEPZ/UtjcUzd83wq5dFYNvgDmWDI3yfvTWsomFO7p/PnWMBPbUE+1a3tNIVD1Bbm88XAKhojEUztMaK+ib3W1lAWiwNgm0Zu4EUp0Jr/229PfvzG+wxpbgWtiaTTWJ7OZAl5HmHbIRy1s7sNb2wh4vp4ZY8xrCwp4sPhg/lw+BAiqTR+1+3x3BQQdF2K40ma88K9X19D4Xfdjf1UClcp/K5HSXsMpRRR0+QPc6P8z5xWFJnMJwxF2mfRGgjgGQaDglDkN1jZ7uCPp4jYNiroozYQJK0VpgJXw/VfJjHRlJowZaCPq8aE2Lc486ivteaD2hSPLoqysN0jz29w8bgwpw7N9N/2NM1pTb5PETJVdh+lFO225qNmB1fDvkUmpYGeZ1tb3mbz53kx4o7HCdUBzhoR3uJhb/Upj9qkpjygqApubF9rTcqDgME2L+AthBC7IwkA7aIuuugiHnrooW7LTzzxRGbMmMGcOXO48cYb+fDDD2lra6OqqorJkyfz17/+lbKyMt566y2OPvpompubKer8Rm8LrFy5kuHDhzNnzhz23nvvr30eGzZsYNCgQUyfPp3zzjuv2/pLL72UDz74gLlz5xKLxfjVr37FU089xfr168nPz2ePPfbgP/7jPzj11FNz9lu7di0jRoxgxIgRLFy4sFu7ixcv5uc//znvv/8+6XSaSZMmccstt3D00Ud/7XMSQgghdkba0yyft4HP3l3B+uVNtDbE8DxwlaI+L0xTJIy7Ko1veS1ja+uobI8SsB3Slsn4mg2Mqm/k46GD+GxINUBOgGdTlW3RnPfrigqytXl6pBTN4RCVre28O3o40VAQpTVaKVwMFlWWs7iyjJPnLWJwUyvzB1T02IbyPN4eM5zz//UZQdvG9HKzkxSZ8+2UDPhJq2Am6+fAvWnKy0xb7+sl+JO9lkBZLNZ7AEgpvJ5mJOvYV5lGx4xnGp/rZdd5QFoZaFcTTKeJBwKsTUBbU5xBrW34PI92v5+1kQja8cAw6NpTF0Wdo3l4eZLHlsYZY7m0JFziXibI5hoGKANi8Mr7UcLvtrJHkY9FjSmU66GBUMRPkzKJY2AowPUIOC4hO402DA4ZHOaRw4so8GWO255yOejFRlYmdDbY9cgqm0s/aOfBw/I5bVik1+v4ZavLtXPjvFzrZIfZHVdhcdnIAC/X2Dy6Ok3SgzK/4rKRAX42JkCRv+cAlBBCiM2TANAu7KSTTmL69Ok5ywKBAHV1dRx33HGcdtpp/POf/6SoqIgVK1bwwgsvEI/Hd1Bve1ZZWckpp5zSYwAokUjw+OOP86tf/QqAyy67jA8//JC//OUvTJgwgcbGRmbNmkVjY2O3dh988EHOPvts3nnnHd5//30OPfTQnPWnnHIKY8aM4c033yQUCnHHHXdw6qmnsmzZMqqqqr65ExZCCCF2ADvt8OQd77Psyw0bF2pNwmexuLI8E6zo+PDumAafDR1EezDISfMWsbiynE8HV2P7LDylsFwXxzQxtdfr8QK2kxNAWVZRmqmV00cWh1aZadzbQ8FMoKRrppCh0Br+OWEM5/5rDv8aPqTHNjzDYMGACp7Zew9WlBVjepq91tZw9KJlFCZTOIYipXKHSeWn0pz9yRfstbaGK79/Bkmf1WfwBzLBGsvt/fwzne45O6pzmQEYnodWoHSmblJ7MJP107WNSDLFkOYWHEOxviCfRMCPv+PY2vVwlSJtmbmZRpaFmbbZEHWwTZNoyJ9dl23aMIgZBl802YQcNxucSkdThIFkOIxrGmCaxA2DuN9HYSLJxyva2a8xzednlhM0FeOebaDFoVtGVlLDOe+284rf5LDqYLfrMKfZ4bCZ7aQ86FJFiTfrHF6vczABt2NZQ1pz28IkT65J8/4x+ZT1koUkhBCib/Kv5y4sEAhQVVWV8youLmbWrFm0tbVx3333sc8++zB8+HCOOeYY7rjjDoYMGcLKlSuzmS7FxcUopbjooosAmDFjBocddhhFRUWUlpZmgyKdhg8fDsA+++yDUoqjjjoqu2769OmMHz+eYDDIuHHjuPPOO7foPKZNm8bMmTNZuXJlzvL/+7//I5lMZgND//jHP7j++uuZMmUKw4YNY7/99uOqq67iwgsvzNlPa8306dM5//zzOeecc7j//vtz1jc0NLB06VKuvfZa9txzT0aPHs3tt99OPB5n3rx5W9RnIYQQYlfyz79/xvJ5G3KWeUp1C/4A2Z+XVZTywl4TWF5eypCWNkbVNzGmrpER9U2gNTG/PzN1u+fhc9xsMeS0afDWmBE8PHkfHj1gL76orsypk9yXoO30vlIpHMPg8QP2oqmPoVeeMpgzeABLKstZWFXOk/vvyb9/7zQWVZSSNnuukWNqzdgNDZzz4RzQGk/lBiU2pYGkz9fHBpqA08e5dF6QjmsdDfhpDYdygz8d4gE/cZ/F+qJCEv7cY6qOvge6XP9OaZ9F2jSJBroHf7pK+H3ZbKXOekcGUJxIdDlQZn1rKIhjGETbUlz/cTu3z43S4qqe2+7Igrr4vZYej3vpJ3FSbmb4WledYTV3k+1dDctiHj//PIEQYvvQqH752p1JAKgfqqqqwnEcnn32WXQPT1yDBw/m6aefBmDRokXU1NTwpz/9CYBYLMbVV1/NRx99xBtvvIFhGJx55pl4Xua/4w8//BCA119/nZqaGp555hkA7r33Xm644Qb++7//mwULFnDrrbdy44039jhMbVNTpkyhqqqKBx98MGf5Aw88wBlnnEFpaWn2vF5++WXa29v7bG/mzJnE43GOO+44zj//fJ588smcfUpLSxk/fjx/+9vfiMViOI7D3XffTWVlJfvtt99m+yuEEELsSmJtST57d0W3IEx9fiQTcOglMOBzPYoSKQqSqZzH5fr8zJCemN/HxHW1HLJsNQetWMPBy1eTMgweO2Bvntp/T2aNHMq7o4fzl2MO5Z2xIzb7yG26LlYvWTNdtQW7Z5N0Up5HVWsbJ81f3LEgk1WUNk0+GjY4k1XUw/m6SvH0vhN5ZdI4LMA2TVQfUSsFNIWC3YIuQHZZJG13X7dJXyETiGsPBnrZKNP/9UUFOL3cq84gkLlpX5Qi3qVQdq+0JmnlDgpQgKV1poZRl/YA4n4fGnhmaZT/XZjo+Rp0sS4FjcnccM6XrS4fNbvdgjyb42p4dE2a5vRmsq+EEEL0SIaA7cJefPFF8vLycpZdc8013HjjjVx//fWcc845XHbZZRx44IEcc8wxXHDBBVRWVmKaJiUlmXH4FRUVOTWAvv3tb+e0d//991NRUcH8+fOZOHEi5eWZqVNLS0tzhkr9+te/5ve//z1nnXUWkMkUmj9/PnfffXe3DJ1NmabJBRdcwIMPPsgvf/lLlFKsWLGCt99+mxkzZmS3u+eeezj33HMpLS1lr7324rDDDuM73/lOt+Fd999/P1OnTsU0TfbYYw9GjRrFE088wcUXXwxkigi+9tprnH766eTn52MYBpWVlcyYMaPPekipVIpUauMsIW1tbQDYto1t9/2QJ3Y9nfdU7u3uRe777qm/3/fl82tBaYxNnvra8kP4jN4/SFfH2vAbHqrriCQglh9kn3U1nDVvIWiNG8hk1awpLuCpg/fGUGCojUEBE4+2/CClqTjRgB+vpywcrSlNxjGszQSAtMY0PSzD6zmoYSr22VBDdSJKZSKaremDqShPxbCDJo638ZydgEHaMLn9pKN4Z3QmyzmgXLDA1GBor8f+pAyDAi+FYUPS788JghhaU5BI4vN66WPHlQzYaVKBAHHLRwiHXie+V4BPEUzbqF620WTqFqU3uck+5fYd/OnY22+4BJW7yVIodFJEuzapQFkQUi467ZJSEOqrfZVpqSGaosDcmL20pDXdcc5fgQfzm1McWLL1H2P6+++66NmOuO/yd0zsrJTuKUVE7PQuuugi1q1bx1133ZWzvKSkJBvcaWxs5M0332T27Nk899xzNDU18c477zBp0qRei0AvW7aMG2+8kdmzZ9PQ0IDnecRiMV566SWmTJnSYxHo+vp6KioqCIVCGF1Slx3HobCwkA0bclPOe7JkyRLGjBnD66+/zrHHHpvNHlq5cmVOm7ZtM3v2bN5//33efPNNXn/9dW6++WZuvPFGAFpaWhgwYADvvfdeNpvnd7/7Hc888wyzZs0CMkPEzjjjDGzb5oYbbiAUCnHffffxwgsv8NFHHzFgwIAe+3jTTTdx8803d1v+6KOPEg73noouhBBCiJ1HMplk6tSpADz++OME+8goEkKIryIej3POOefQ2tpKQUHBju7OVmtra6OwsJDzLnsWf6D3Qu67onQqxt//98xd9t58XRIA2kVddNFFtLS08Nxzz23R9ul0mn322Yf999+fhx56qNcA0IQJExg8eDC/+MUvqK6uxvM8Jk6cyLPPPssZZ5zRYwBow4YNVFVV8fe//53JkyfnHNc0zWzdoM054ogjGDJkCH/7298YNmwYP/jBD3oMuHR1yy238Ktf/YpoNIrf7+fOO+/kyiuvxOzy7aLWGs/zmDdvHhMmTOCNN97ghBNOoLm5OeeXfvTo0UybNo1rr722x2P1lAE0ePBgGhoadst/PPo727Z57bXXOP744/H1VedB9Cty33dP/f2+N9dFuefG17otX1ZWQqyzPswmTE8zcX33L3A0EE6lOPuTL7ut+9H3v9VjDZtOSmtG1DdyyLJVvDtqGC3hEK6h8Lke+YkUqEw9IX8vj6ZKawK2yyHLV+IoxfzqSlaWleAYBj7HpTQWZ0R9I42RMNFgIDN8CmgLBmjIy2NYYxM/efN9Yp7N0JV/yVyDsT/mltNOZV51FZ7RcyaL6Xrsv3IN3/toLr/4zkmsLclcN7/tUBaLkZfq/k2/o6A9FCC9ydAqOopodxbJjvn9RAOZ1+YydUKpdK9ToWsyw9jSvtzjhVMpbNPcbNt5yRR+r3s2WHMomHsOWhN0HAqSKYYV+ZhUGeKxlalu+3XdvsKn+fysypzFtqcZN6ONhvTWfwwZEFDMO6kA8ytMC9/ff9dFz3bEfW9ra6OsrGyXDTJ0BoDOvbx/BoAeuWv3DQDJELDdhN/vZ+TIkcRisex7ALfL2O7GxkYWLFjA3XffzeGHHw7Ae++9162dTferrKxk4MCBLF++nHPPPfcr93HatGlcfvnlnH766axdu5Yf/OAHm91nwoQJOI5DMpnE7/dz//3387Of/Sxb1LrTj3/8Yx544AF+97vfZWdCMzZ5SDUMI1vrqCeBQIBAoPsYfZ/PJw8R/Zjc392T3PfdU3+97xUDixk2rpIV8+vQ3sYP3MUtMVrKe85+cbTGcXouFjmipglsD6tLWxpIaRO8vmvNNPlCHPPlMo75chkb8iPMGjGEAW1RllWUEvf5CNk2AdthcWX5xpnAOgJCAcdln5VrMNMeBckUyQEWUcOP8jxShonPsFlelMmC7jqaKS+aIhRLs7y4iFbDjz+ezK6zUh6Li0tJKKv3qs+GSU0knwlr6xi5vonPBgwCrfE5No3+EAksIql0tgaPBvA02gbTcbFNE08pFDozvbzWpDEzs7BhQtojEbDodQhYR0HpJH1sAyRNE6/LHVOeR15akwh1nFtPAROtMTyPkKtI0uXLM8AxDFrNQO4xFYTSaVLa5Pr9SzioKsjDK+uxe2pfa5TW/P7gom6/Vz7guon5XPHp1s9O+9MJIYL+ngOXW6q//q6Lvm3P+y5/v8TOSgJAu7BUKkVtbW3OMsuymD17No8//jhTp05lzJgxaK35xz/+wcsvv5ydNn7o0KEopXjxxReZMmUKoVCI4uJiSktLueeeexgwYACrV6/ulg3TOdRrxowZDBo0iGAwSGFhITfddBM//vGPKSgo4OSTTyaVSvHxxx/T3NzM1VdfvUXn893vfpcf//jHXHrppRx77LEMGzYsZ/1RRx3F97//ffbff39KS0uZP38+119/PUcffTQFBQV89tlnfPrppzzyyCOMGzcuZ9/vf//73HDDDdx2220cfPDBFBcXc+GFF/Jf//VfhEIh7r33XlasWMEpp5yylXdBCCGE2Pl96+IDmH7Lm7Q1xrPlagqTKfKSSaKBQO6Hd607CicbBNzuNXAyQYzcZQoI2nZmZqy+pnoHHj5wb9pCAZZUZuoKnjZ3AZOXr84JNo2pa2BpeRnN4RAKTWk0zoDWNiyt0cAb40aytCIzSYRWiuJYnPxUOtuXTftmak1lNApaM39ABXQ8PjmGQch2aOvj2imtCadtXKUo6ggeKa0z/VUqM0uX34fP9QCNaxiUtWe+cDO0JuD2UOq4yyxgnjIIpdMkeviSCa0zWUOOi6nBMbsXgtZkCkl7m9zDokQSQ2vyUynaA4FsW13bNTxNYTKV0xYd7bWEgt22z0um8LseP9+viBOGZIa/vz+llCNfaSTh6Zy+WVrzhwPyOXlIz0HGy0b4iTqa//wyge2BpTJFng0Fg0OKFXGNpcDrWOZouHZckCtH9lIwWwghxGbJLGC7sBkzZjBgwICc12GHHcaECRMIh8P87Gc/Y++99+aggw7iySef5L777uP8888HYODAgdx8881ce+21VFZW8qMf/QjDMHj88cf55JNPmDhxIj/96U/5f//v/+Uc07Is/vznP3P33XdTXV3N6aefDsDFF1/Mfffdx4MPPsikSZM48sgjefDBB7d4+BdAOBxm6tSpNDc388Mf/rDb+hNPPJGHHnqIE044gfHjx3PVVVdx4okn8uSTTwKZ4s8TJkzoFvwBOOOMM2hqauIf//gHZWVlzJgxg2g0yjHHHMP+++/Pe++9x/PPP89ee+21xf0VQgghdhUFJWEu+dXxHHnWRArLwpimwqdgTG09pe3RbjM5lbZHGdzYgul53RJjVpUWd59xCpi4bvM1/woTSaLBAKYGqyPr9tXxo6nvKNbcmYebl0qzz9r1HLZ0BXuvWc/gltZs8KcpFGRpRVk22BC0HfxuJvelt9CT6mgzkrZ5Y+zI7PJ/7jGGSCrd50xWGjhy8XJMrVlTUtTR4CZHUgrbMrEtC88waA8FyesISHVrW2sMrXGVIi+RxOc6RFJp8pLJ7tt2ZEDFQkHaA76Omsq5mVeOUqQ6A0NaZ4M18VCAqiI/lX5FpZumQGl8aJT2MD2PQjvND4dY/P7wEkaV+skLmFTkWZw0Ko+9RxRQEbHwG+BXUKQ8RusU5w3x8fa3B3D13huHTexRbFH3/QruOySfg0tN9i0yuGZCiLpzKpk2rvehI0opfj42SM1phfxlnxA/Hxvkj3uHWHdqIcumFPL2UXlMG+7n24N8XD0mwKKTCrhtUqjXYXBCCCE2T2oACfEVdY6N3V3Hj/Z3tm3z8ssvM2XKFEnj3Y3Ifd897c733U7aaFeTNhSL10RxPc2IyjD1n6zipVdXsCBtUNEaJeQ4GzNItOasT7+kJJ7ICbjU5ke47eSjaQt1ZHxskj0yoKUVDxhT3wRA3GeytrgI1zRRrsuo+kbG19ZTkEgSSdukLBO3y9TnncOSPh80gAXVG2vKFMUShNJpAq672Snkz5k9B52KMWHlnwCY8IdPsH15BBwXw/PQmw4P9zyKYwkenP4kKb/Ffjf8GMfMDN/KT6Uw+pi2vjCeIC+VJu7z4Vhm9loEbAfT0/hdh2VlJaQsixLPoTJokO832KBNVjqKhDIxFZT74D9G+7l0TJiIz+Dt9Unu+CLKW40ucRRKg+l5JCyLkNJ8b4DFrw7IpzxgEjAlWNLV7vy7vjvbEfd9V/+cIDWA+i8ZAiaEEEIIsZvyBTMfhvzAvmOKs8tLjxvLuOPGorXmk0VN3P/g5+Q1tHLU4hUMamrB57q4SmFpnc3aqWyPccXMD3j44H2pK8jD7igeHEmlGdDaxsi6RgqSKRryIx1Dr1wGNrcRDfpJ+nysLSliQ0E+kbRNQSLBsMYWyqMxFJkCx23BAE2RcCYo1IWhdZ/DzroyXY9wIp19rzr2TZsmYdfFBcyOIVuuaVLV2s6tz/6TsGPz06mnZYI/AEqRsizCvU31rDXRgB+f7RDCw0jYWIbCDvpZW5BHW8CPa5iMDHrcvk8+3xq+5bOJHlkd5MjqYMdhNIujHs1pj8Fhg4EhczN7CyHEltMoeg9z75r62/lsLQkAiW/crbfeyq233trjusMPP5xXXnllO/dICCGEEFtCKcX+40rZ//ZjWN8Q55VH55J44SOGNLaQ7giGWJ4m7rdYUVZCNODj0KUriPv9tAX95KUcXAMKEilMMkOxyttjNORFsC2TcDqNQhO2nZy6OEmfj4TPx7KyEhSZmjSdQZ5IOp1Tz8ZTCscw6LMyjNYUJFN8OHkCo649FibdBcCTSz+n+dC9CB89jrFlQd58dw3vvryIUH0r+65ez0HLV7OkopQLLjqbt7oMHQNIGwYBFCY6JzsKpTK1dxIpLphczs8PrcjZz9Oa1rRHwFSEra9XjUEpxdh8E5DAjxBCiM2TAJD4xl122WWcffbZPa4LhULbuTdCCCGE+Cqqy8JM+/FB6B9NZuX977HmvvdzAjFawXujh1OXn8eAljaOWbSckngCv+3w8qSxDGxpozCZwtSaivYoTeEQzeEQnlJYtoNrKDAM6Kg71B4M4O9hWFfAcSmKJWiNhNBKkfRZWJ6HbRj4vO5FqwFQigM31HH46/9OPLVxFrDqW89iQlFR9v2pxw7j1GOHkVjZwMOvr+bCRphfUEg84EfpzDlCZmhYYSJJSSyOaxjE/D4c08DQmmDaYUhYccO3BnHs8LxuXTGUojggARshhBDbnwSAxDeupKSEkpKSHd0NIYQQQmwDylAM/7fDGXDqnqx5eDa1/5iLY3v4HZeDl6+mMRTkoxFDeOyAPSmLJShIpjBcl4VVFZieS8BxSVkmacvC57ocumQFSb+ftcWFJP2ZIWmFiSTZ8tM9DPEaUd/IfH8VSZ9F0mcRtB2wLJTjZItLdxVM20x+9Icoy4RUt9XdhIaVccnFZVwCRG2PZe0upgLTAK0VKdvhk/V+fBSw74AQQb9JaVARS2uCpqI8Io/YQgghdj7yv5MQQgghhNhqwQGFjP7FiYz+xYm4jVHi//cR6blrUZbBtyptXlyX5hN/iKZICL/rUhyLZ2oHGYq8VJqRa2o4YMVq4sEA7cEg1a3teEpRlxdm9oghaEOx56p1aNPMzkSmgXRHcegR9Y005kVoioRoC/opTKRIWRZpwHJdDK1JmybVTc2Unbkvgeqir3SeeT6DvUo2HaplsU959+nNS3qe8VwIIXZJWm3MfOwv+tv5bC0JAAkhhBBCiK/FLM0j/9Kjs+9LgLGAE0/jxFKsX9NK3epWVs9eSXzpBvzRJCjF/IP2YOjZ+3H4wYOx66OosB+vKMzZloFhu9z7b0/S7sDYhiZSlkljZxHojgLUle1RKjumsTc9j7JojFgggCZT4Pm1CWPIS6X49hFDd9SlEUIIIXYaEgASQgghhBDfCCvsxwr7GVGez4h9B3HQGXv0um2wcJO6gH6Tk645lr/+eTYBz2NUfRNrSvw976wUrmEQDQQoSqZAa14fNwqlNU7Qz7AhhdvwrIQQQohd09ebekAIIYQQQohvyMi9BrDnpAoWVpXz/sghG2cK64lSxP1+0JpZI4fSEgmjlWLk+Ire9xFCCCF2I5IBJIQQQgghdlrnXHog66c9RUs4M+tXX+UbtKH4x6RxpPyZTCFDa751du9ZR0IIIXqnlUKr/lU0p7+dz9aSDCAhhBBCCLHT8od8XPDvh2K62XnBemUbRib405EpdMy4IsoGyvAvIYQQAiQAJIQQQgghdnKDJg9l4LjyPh9cNVCXnweAqTVlPrjioj23S/+EEEKIXYEEgIQQQgghxE7vzAv2pSUU6DELSAOuoUj6LEqjUcrao/zh5wdu7y4KIYQQOzUJAAkhhBBCiJ3ewAF5jDliJE3hEF6X5RpI+CxqCwqwtMbvehx1+BDy8nqZMUwIIcQW0f30tTuTItBCCCGEEGKXcMFFe3Pzp+tYHQwQtB0MNGnTxDVNIPNgbwLfOn3sDu2nEEIIsTOSDCAhhBBCCLFLUEpx4/87kdHKJun3kfD7cUwz+42upeCa6w8jFPLt0H4KIYQQOyPJABJCCCGEELsMM+jj3/9yOjUfreKpp+ZTl/Tw+y0OP2YYR08Zi9rNp/gVQggheiMBICGEEEIIsUtRSlF94DD+/cBhO7orQgghxC5DAkBCCCGEEEIIIYTIoZVC97Osyv52PltLagAJIYQQQgghhBBC9HMSABJCCCGEEEIIIYTo5yQAJIQQQgghhBBCCNHPSQ0gIYQQQgghhBBCdKN3dAfENiUZQEIIIYQQQgghhBD9nGQACSGEEEKIHSoWTfHmzJU8t7CNlYYfK+jj6LGF/OTIKoI+c0d3TwghhOgXJAAkhBBCCCF2iLo1LTz98Gf8qy7N7BFDaSuuRHmZAQdfrHS5e8lKLhlkcvWJgwn4JRAkhBBCfB0SABJCCCGEENvd0oV13P37WXw+sIqmQaXkp9OEbZtYwE80EAAgbVncud5j2Z1z+csVexKUIJAQQmw3Wim0Uju6G9tUfzufrSU1gIQQQgghxHalPc0vH5zHW2NG0BwJ0/k4bmhNfjJFeVs7JdEYQ5paqGptZ27K4K9//3KH9lkIIYTY1UkGkBBCCCGE2K5ue2IRC8vKUFqT9PtoDwRwDANTewxoaWOv9RsI2052e0cp3m/J44RP1zJp30E7sOdCCCHErksygIQQQgghxHbzyuf13NXqZ01JESvLSmiMhIn5fKR9Fn7bYd816wl2Cf4AWFpT3drO7x5eQCrl9NKyEEIIIfoiASAhhBBCCLFd3P1pM+fNSRMPZjJ+PKVImyaeZZKXTLHH+g0Yns55QDVdD7/jYHoe+ak0//nTl2lojO+wcxBCCCF2VTIETAghhBBCfOMWbUhw/dw4WmssT6MgU/tHa8KJJKWxOLZl4ZgGftcjlE5T2RYlP5UGwEPTHA6TNk3+8pMXqdqzmuO+tyejhhTsyNMSQoh+S4pA9z8SABJCCCGEEN8o1/W46JFlUFyEr2Oa9+wjuFLE/X4Sfj8+18UxSxhR18jE+qbs/kprgo7LwNZ2NKAVGDObeePdRSz4wSGcdub47X5OQgghxK5GhoAJIYQQQohv1PTXV9Ho92NuGvzppBQaWFdUiAZWlJcQ9/myGUJ+x83ZxzEM4n4fnqFY+9AHPHvnB7SmXbTW2+N0hBBCiF2SBICEEEIIIcQ3Jpl2eeG99XgoDHoI/nRSipTPh0ahgOXlJQA5QSNPQTzgJ21ZeEqhDQOtFDWvL+Kmq15i9NP1/HZenKQrgSAhhBBiUxIAEkIIIYQQ34hkMs25f5iD1pDXUctns/v4fARsh7qCPABMzwPAAxI+HxpAqcyr82dgVH0T055+nYdeX82UN1tIOBIEEkKIr0P309fuTGoACSGEEEKIbcrzPO55bQ0fzFjM0sEDqbRcKtraqS3afMFmy/OwPN3tIT3ps9BG399d5qXSnDv7U2bXDeHaZ5o5Luwy+bJDqBhdsdXnkF6wnsQ7i8H18O85mOAhI1Fdjq/jKewPluK2JbBGV+GbOGirjyGEEEJsTxIAEkIIIYQQ28x7q2Lc+OgiBjY0g2GQ8lmsKS4kkk6jPK/PII7heZREYyilKIonAPCUwjYzU8aj9cbMn00owARKEklOmbcYgLVA/U+eY+LUfTjw/AP67Hd8bTPx1U2Qskn99Q3sz9fgGQqtwdAaLAP/vkMpOHIMekMb6x/7kLTKDEEzyHTLnx+gpCxCZL+h+A4dg3n0eJSZOV+tNSRtCFg5gSQhhBBie5EAkBBCCCGE+FriaZfnZtfy4meNLExBEMWq0iKUp2kOB/EMgwatUVr3WX/g0GWrOGj5KtYXFlDWFsUFtJGp9dNb4KdHHcWgTa2xLZO3/7GIBXkFXHjm2JzNUk1xFj7wCW3PfIydsElbJhXtMdKWhRXwY3a0owHHUCTnb0DPqyXiuPg1BLWHJjNFfThtU9jQTGqtRfSzVfjunokOB3D9Fl4sheFp0DozrfKeg8n7+RTCR43LtJ+0cWMpjMIQhmVml+l4GlUQRHUsE0IIIb4OCQAJIYQQQoit1thuM2dRI++/sZy169sBRQTYF0j4LJaUl7CysgTdpVZPJlgCSmemdjc6AiIAB61YzaHLVqKAwS2tKK1xrMyjqvK8TBbO5jJnOmcB68gW0oaB5boUJZJseORfTC8Kc2Iokd187tR7yLdN6grzMSI+CuMJEj6LsOPmZBspwPI0kbSN6XnZYtaG51EajRNJ29ni1mHHxVGKtM+CpI2VtNFaEw34aIhE0IbCt6qF2L9NxzUM8Jm4tgvKQGmN6bm4KjPLmVIK0/MIDy1hyF/Pxxpe9nVvmxBCbDGt1MZ/w/uJ/nY+W0sCQEIIIYQQoket0TTTX13FO7Vpkj4fe40s5JJ9inho5jo+mFvHqA0NpP3+7MxdnZrDIRrzIpkH7a4P2x1BII1mVH0jle0xImmb8TUbyO9SJFp1bqs1iswDu6tUNiOnx2ygjgyj7JqObRzTxG87uJaF+duX+KipIbtLY34EJ21Q1tZOJG3jd92Nfd7kGJ3vtFI4gFZQnLAJ2k7OuSvApzWe6xLz+3AMRU1hIbbPytY1SvogGgyA1liexjA9SmNx8pOpbIaUm0himwaOacKiGtYf91sCR42j9Pdnk5j+Ps4nKzBtl8ABw3D2HEJyzhqUZRA6dBT+4eXw6UrsL9fiVpfg228Y/nEDcs7Ha41jPzYbryGKW1GA2mMgwYmDMAtDuYE0IYQQ/YYEgLahiy66iIceeij7vqSkhAMOOIDf/va37LnnnkBm/Pe9997L/fffz7x587Asi1GjRnHeeedxySWXEA6Hueiii2hpaeG5557Laf+zzz5jn332YcWKFdx00005x+qJ1prbbruNZ555hoULFxIKhTjkkEP4zW9+w9ixG1OgjzrqKN5++20A/H4/ZWVl7LvvvvzgBz/grLPO2uLzV0rx7LPPcsYZZ/S4ft68edx8883MnDmTtrY2hgwZwtSpU7nuuusIh8M5286ZM4fbb7+dd955h6amJqqqqpg0aRKXXnopp556KkopVq5cyfDhw7P7FBUVMWnSJH79619z5JFHAvR6Ld966y2OPvpompubKSoq6vZeCCGE2N24ruaTBY18+GU9rVGb5evaaU64lEfjDLNtANYvCPHdjytoCwWp8PlIBvyZbJ4u7dTlR9hQmE884O89gKAUU75cREFfM4NpjVaZbKFsRg8dx9ok06drpk43nodnKAa0t6OA5rxQdlUobaM8P/l2JrPH9DSO2XvQQ2lNXjJFeSyOqTUe0BAJ45gm1a3tOccPuB6O7bKmshS7M5Np01NUCleR3Tfu92UCSK6L5XoEHZeUBtsyUUB65gLW7/er3MDaJ6txu7xvu2smeckUkVQan+diakj5fdiRAEHHJem4pJSZqanU2YbWmJ5HwjQoKAjg29Ca6esho+HK4+GESb1ek/QnK4n97T3SH61AWSaBYyYQOf8QrJGZwtteU4z447NJPD8Hry2BNaqC8LmHEDxhj92qFpJ2PVL//ILEo7NxVjVglOYROms/gt8+ACMS2NHdE0LsJnaff3W3k5NOOomamhpqamp44403sCyLU089Nbv+/PPP5yc/+Qmnn346M2fO5LPPPuPGG2/k+eef59VXX93i4/zpT3/KHqempgaA6dOnd1v29ttvc+WVVzJ79mxee+01HMfhhBNOIBaL5bT3b//2b9TU1LB06VKefvppJkyYwNSpU7nkkku2wVWB2bNnM3nyZNLpNC+99BKLFy/m1ltv5aGHHuL4448nnd74APj8889z0EEHEY1Geeihh5g/fz5PPfUUZ5xxBv/5n/9Ja2trTtuvv/46NTU1vP322xQUFDBlyhRWrFixTfothBBC7A6a21L84k8f8/uH5/HeZ3XMXdSI0dDO0OZWwh3BH4DiWIIjlq1iYEsbLZFwt+CPB9QW5Gd+7iH4ozxNwHYIp9I5GT892nR/pbKFoFVnAKiz1o/jYHTN/umkNb7O4WOAaxqkLF92tQtURqMo3ZHZY/bxaOx5DG1qoTIay2YiGUB5LE5VWzvNoSBe10MDnqGwTXNjwGrTUyRT4yga8JP0WdimSdo0iQUCtAcDuCozK5rPyQSEOofO5ZxiRxHqzmN4StEWDpH2WWjDBMMgmLYJtcRoszXJTYM/HdfWNQwMT2Oub0a5HrgezFoCU/8Cv3upx/5H//dNGr/zF5IvzcWracVd00T877OoP+l3JF/9EmdZHfUn/D/afz8DZ3EtXm0r6VlLabn8IVp+9DDacXu/3v2ITjm0/PA+Wq/4G+kPluCtacL5fDXtv3yWpim/x61t3XwjQgixDUgG0DYWCASoqqoCoKqqimuuuYYjjjiC+vp6Zs6cySOPPMJzzz3H6aefnt1n2LBhfOtb36KtrW2Lj1NYWEhhYWHOsqKiouyxO82YMSPn/fTp06moqOCTTz7hiCOOyC4Ph8PZfQcPHsxBBx3EuHHj+OEPf8jZZ5/Ncccdt8V925TWmmnTpjF+/HieeeYZjI5ve4YOHcqYMWPYZ599+OMf/8g111xDLBZj2rRpnHLKKTzzzDPZNkaOHMmBBx7IxRdfnJlFo4vS0lKqqqqoqqri7rvvZtCgQbz66qtceumlX7nPQgghxO5Ca81vHvyS9fXxjvcQth3yutS16dQZHtlnbQ0vThxL1O8jP70xQBQN+HE7gig+1yXVJdDgtx1CtpPdNmlZhJyN73voWPdlKjPUTJGpCwRgeppwxxdJSb8vM2Sqg891s9tnAx5dAh+238JRDp6l8LkeZkebPeUAVURjWJ6XCdp0dqfLtoXJzJAtAL+baSfq7yMLqst5pnwWvi7XETKBnPZAgHDaRqFRmmzWURrQHefZ2R+DTACuMyuqORwi1JFZpA2DhGngmgpUL0EupfCAhN9HXmdfOs6DW1+AoybA/hszr1OzltD+m5dzt+v8WUHzjx7GqCzAa4mD1+VedvycnPEFsXveIu+KY/u+Pv1A9A8zSL+bmZkOtzN42fF2bTOtV/6Nkqev2jGdE0LsViQD6BsUjUZ55JFHGDVqFKWlpTzyyCOMHTs2J/jTSSnVLaDzTejMnikpKdnsthdeeCHFxcU5gZiv4rPPPmP+/PlcffXV2eBPp7322ovjjjuOxx57DIBXX32VxsZGfvGLX/TanurjQapzKJlt271uI4QQQoiN5i1vYcW6KF6Xz/CRdN/ZOR4wqr6RmqKC3OXGxv+j81LpbPDDclzCHbVyOl8LqypyMma6USoz/KsrrbOBIQUEHYe8dBqTTOHpgmSKYEfwonPGsb7CL62hEEmfRcqyiAYDxP2+HrczHYdI2mZNcRHvjRzK6+NH8+bYkXw5oJL2gD9TEFprrI4gkqMULh11frZET882KjP7mWsaqC41ljJDxHKvXDYQ1WVonGcYJC1rYy0kw8hcz16ykTqlrY21irIsA+6fmbMo9sC70FvGlAYcD29tc25waJNtYg+82++zgHQiTeLh93ODYF25HvYnmXpNQuxsdD997c4kA2gbe/HFF8nLywMgFosxYMAAXnzxRQzDYMmSJTm1d7Y3rTVXX301hx12GBMnTtzs9oZhMGbMGFauXPm1jrt4ceYbj/Hjx/e4fvz48bz33ns523a9Th999BFHH3109v3jjz+eM6yuUywW47rrrsM0zWwNIMi9J51cd+sfNlKpFKlUKvu+M2PLtm0JOPVDnfdU7u3uRe777ml3v++fzq8n4AO3ywfUgHIx+nhKNIHSdIJYfhDL3LhfnmfjV5kP/D47hZc2SPh9RJw0psodorVgSCXjG+sIOE73byQ7gzxdh5hpTcDxyHO7FItWgC9TWHpVVQmT1m8gjINjmJnZawzVPQDUJdii/QbJSIBQx71P+Xy4AYPIJtk4plJ8PHIQreFgtg0Xk5pAAfXFeRy8YhU+18vJDPJQBHFp9nUvKN2tS14alx6metc6M2Sth+cWzzK6zWbjbnJ+KdfCSmd6lQ748MgElfqkNWnP6n5P5q6CLr8j8c9XgqXga0xR70YTJFfUYQ3bPrOb7Yjf9fS8tdiuC4E+rpOhiH+4jPDYyu3Wr93Jjrjvu+v/J2LnJwGgbezoo4/mrrvuAqCpqYk777yTk08+mQ8//DAzk8UOnE3hRz/6EXPnzs0GW7bE9ujz5o6x55578tlnnwEwevRonE3SxQ855BAMwyAejzNgwAAefPBBJk3aWKyw6z3p9K9//Yvzzjtvq/p52223cfPNN3db/uqrr3YrYi36j9dee21Hd0HsAHLfd0+7630vBL59wFfZsz3zGrPp8q2owzci8lUO3KP9ARgEQF/hhGQyCS9mfi76XhnxYJD41ziuA8xk1NdoARo2v8nO4eWXN/78n/ttmzbnfwjzt01TW2q7/67/9tAt2Kgl9/qKbW573vd4/Ov8qyLEN0cCQNtYJBJh1KiNDwH77bcfhYWF3HvvvYwZM4YFCxZsto2CggJWrVrVbXlLSwvAVxoqdtVVV/HCCy/wzjvvMGjQoC3ax3VdlixZwgEHfKWnwqwxYzJPhvPnz2fvvffutn7hwoWMHj0aIPvnokWLOOigg4BMXaWu13RTTzzxBBMmTKCoqIjS0tJu6ze9JwBr1259mu11113H1VdfnX3f1tbG4MGDOeGEEygoKOhjT7Ersm2b1157jeOPPx6fr+chAaL/kfu+e9rd7/u7n27g/ueX5iwriiUIOnaftQI+HDoIDxjU2k5hIpldnrJMllSU4RqZgUmazQ+FKm+PMqC1nYJkksJEkoEtrRhd8vRN1yMvlcbn5Q4nWl+Yz/RD9mNZxcaQTzBtc9KXizh24dKecmpIORuzeVsfr2dAfSxbJBoArQnZmendNeAainXFhXg9ZM4URxPsu2Zdr+elgZjfz7KK0sxMXZAz8xZAYSJBwO1lUILW+F2323ln+mVk6x117u11advQmqq2jTOTpS2TpGX2XgOoY7+A45CX2iR7wVDwo+PhZ1Oyi1qufpTUmwt7H+LVOUNbH1R5PuWv/RzVV/HtbWhH/K7rRJqGI29Dx/seVln81JX4xldvlz7tbnbEfd+a2q5CbE8SAPqGKaUwDINEIsE555zD1KlTef7557vVAdJa09bWRmFhIePGjeOxxx4jmUwSDAaz23z00UeUl5dTXFy8xcfXWnPVVVfx7LPP8tZbb+VMm745Dz30EM3NzXz729/e4n16svfeezNu3Dj++Mc/MnXq1Jw6QJ9//jmvv/46t912GwAnnHACJSUl/OY3v+HZZ5/dovYHDx7MyJEjv1Yft0QgECAQ6P4A6/P5dssPDLsLub+7J7nvu6fd9b4fus8AHn55JYmUm/283uILUJ50cOleMNID4n4/jb4ghak0q/ML8YXyyE+mKIonCCUdolhE/QEKOoZOpzyjz2FQayMFbAhEGNrSCgWwoLSC8vYo+ckUhYkk+YkEBWkvOxGEAmoK8vjPk44j5ffhdellwm/x2L570+gPce6HczKBm67HdjYGJQraE1ipTYZXaY2yNVbaw1UK21JoR3WEsnJVN7RiJt0+A2W+ZIIif5yk30fKMjP90Rq/4xJK2wQ6ClV303GuwR6KcQN4VqYETzb4Q2aoGlqDUpTE4vjTbrYtQ7nYoQCGdtH0MCytYxa1/HgCq+upGgqCPrjgCOjy+1F44RE0vvhFzyetAL+FMaAYb01Tz0EiBfnnH4Z/S+skbUPb9Xfd5yP/u5OJ3/d2z3WATAPfXoMJ7zl0+/RnN7Y973t/+b9EK9VtqOmurr+dz9aSItDbWCqVora2ltraWhYsWMBVV11FNBrltNNO4+yzz+Z73/se3//+97ntttv4+OOPWbVqFS+++CLHHXccM2dmiuude+65WJbF+eefz8cff8yyZcv4+9//zm233cbPf/7zrerPlVdeyd///nceffRR8vPzs31LJBI528XjcWpra1m7di3/+te/uOaaa7jsssu4/PLLc+rvbM6KFSv47LPPcl6xWIz77ruP+fPn8+1vf5sPP/yQ1atX89RTT3Haaadx8MEH85Of/ASAvLw87rvvPl566SVOOeUU/vnPf7J8+XLmzp3Lb3/7WwBM86uPNRdCCCFEroDf5CfnTsA0FEZHEWfHNGmKhNCqYzpzwOt4Zo4G/MwZPIDCZEcmjdbYpkE06GdDQR6Ly0uJpNPUFBeyoKqcxRWltAUDvRfe7Ah0OKZBSyDA+oJ8lpWX8OnQgXw5sIoPRwzhjfGj+WRwNauLC2kJBaktyKMtFOTGGW9x3Yy3OGH+YiKbTCv/2h5jWF9YgOV6OcWju2alFEdzn4c6mV0+qHcrRJ2znddnkWnIxEIMIGQ7FCVSFMcSFMeT5KXtjlnKdG7/uvQx4HQPDm28H6qjf3rj7F9kilGXxOIb6xh1tGW5Ln7XxaPLVPJdjmtoTX48gak7CqUqlel8JABPXgXVuV9A+vcfTsHNZ2a26ZrBYyrwW5Tc8wNKH7wYozw/txJ3x7bB0/clMu0Idgd5PzsZ/6GZLHc6C6V3VO42BxZR+NcLdljfhBC7F8kA2sZmzJjBgAEDAMjPz2fcuHE89dRTHHXUUQA8+uij3HPPPTzwwAPccsstWJbF6NGjueCCCzjxxBOBzBCvd999l2uvvZYzzjiDlpYWRowYwa9//Wsuv/zyrepPZ+2bzuN3mj59OhdddFH2/b333su9996L3++ntLSU/fbbjyeeeIIzzzxzq47XdYhUp5kzZ3LUUUcxe/Zsbr75ZqZMmUJbWxtDhgzhwgsv5LrrrsvJrDnzzDOZNWsWv/nNb7jgggtoamqisLCQ/fffv9cC0EIIIYT46vYaU8KtV+3LP95ew+wvGrAdDyIBGsJ+wokUDgba9chLpTBch/L2dtrC4UxGTkfgIW1ZpE0Ty/MY0diMZxp8Pqgax7JoM02CjoPP3SRg0iXoEQv4qSvITNrQObX5ytJihjS1MKSxmdZQiIDr4phmJsGkI6skkrY5YskK9l5Tw/8eMZm2UDDb9qxRwzjz0y8JpW20UniGwuhSnLW34tP+LvUGTa3xOQ62aXbLmon7/Zu9to5S2cylzMxmmWvmtzPZP9AxnMswMkEyrbPBmuwwuC5DuxTgWiYhx8HnOPi0xi4Mg+1gxVIE0nZObUVtmbjHTSCwvoW8uWuwDYOE38LVHqqjPa3BVYp4QYTwfkPxBS2UoeCwsTD1YCgI9XhukQsOxX/AcOJ/n0X6oxVgGQSOnkDknIMwB2YCRuX//A8ST39M4oU5eG0JrJEVhM89mMARY3dobcztSQUsiqZfTOqVucQfm427qhGjNI/QWfsR/M4BGHnBzTcihBDbgNJa9/G9hhCiN51D9lpbW6UGUD9k2zYvv/wyU6ZM6TdpvGLz5L7vnuS+59JaozXZbKBODXGH5z+uo7mmjZClaG5J8enqKHWBENrIDD3KS6aojEaxOjJo1hbmM2vkMBzTyAwvSqbIS6YxN8k8ift9tId6/xB80peL2HfN+u51dLpwlWJpRSkPHZwpTmy6HocsW8m35i6gLeDH53gctWoVVksLh8y/HYBXJ99MxLU6TxyUIpRKE+qYsl4DtmkQ9/tpyO9esDpo2xyxeEWvWUAaaAkFiAaDOB1D4I2OAI+pNe0BP65hYGpNIG1jak1FewzD83AMhWNapC0zM3OX1gSHlRK66Ux8x0zo9VrplI1+9hNoiqIOHInaf+Pwf601JG0I+lBK4a5uxFlci26OYY2twhw7ABXov78D8ru+e9oR931X/5zQ2f8zfvIyvsC2K9a/M7BTMZ67Y8oue2++LskAEkIIIYQQWUqpHsv1lIUtph1RDWwsVOt5mg+/rOdPM9awUFkk8sIk/D5GNDShgOrWdr41dz7vjxzGhsJ82oIBUoZi0roNDGxtRytFfV6YuYMG9Nmnd0YPZ8+1NX1mjJhaM2ZDA0WxBC0dw9cKkymSPgsMg3GDghz291/QurIWRt7esZPqmDs9M+wrZRnYpknYzmQAqY7lYdumKJ6gZZMgVdLnY2l5CaPrm9DkjnTSQNKymF9Vgd/zKI3GCds2SmvSpkk0GMA1DEKOg6U9CpIp8lKZ4JidF0QdNZ7gvx1FaGw1VkEQ5TO3KGNGBXyoqQf1vE4pCG3MWjKHlGIO6T6BhhBCAJlhwP0sUa+/nc/WkgCQ2CK33nort956a4/rDj/8cF555ZXt3CMhhBBC7GiGoThozwoOnFTOrCWtPPpRPasXxYj5feQnUxQnkrSEQkxcX8uAllbyUmkm1tRhejpbE2hIcyvjNjQwY48xNEfCPR4nHvCzpriQIS19z6yjgAFt7bREQnhKccCKzJCnqqIA3779FJSh8FVu/MZ3nycvJRTXRH/xBPmzFmObBo2RMI5pZmrgaJ2ZScz1KEgkCaVtYgF/ZjiY1vgdh3afxariAgY1t2VnHfOA9kiI1nCI0Y1NRJIpgraLdcJE9A+PgAkDMSIBVH4oG9TRta1Q1wbl+VgDir7GXRFCCCF6JgEgsUUuu+wyzj777B7XhUI9jwsXQgghxO7BUIrDxhRx2JgiUu4oLnuzgdeXRymJxjhg1TocwyBou0xaX4fRUXem65ewobTNyV8u4qn99sS2ep7sId3L8k05HcPRjlq0nHA6zchjx3DaD/fPmYW0kxXxExlYROTZH+O1J7HvmUnB2mb0wGLSr88nvqIRLzMejpRpYVsmPsfNBHQ8F2UZFCYSlLe0Y4R9eBMGoS49Gt/Je1Ma9FEKaM+D9mRm2FUfw6tUVSFUFW7ROQohhBBfhQSAxBYpKSmhpKRkR3dDCCGEEDu5gKmYfnw5H28o4KInV7KkvISg61KSSGSLDm+qc5asUXUNLKiu7LHdkngiW6enNynTpKYwn5O/XMShS1aw/41TOGrSlg1xMvKDFP7s5I0L/uNkdFMU94OlYDsYew1FVxaA7WHkBVBm94BSTyEqZRhQ2HNmkxBCCLE9yTTwQgghhBBim9u/MsATZ2TqBTmGorqlbbMPnsMam7stU56murmV8mg8s6CX+Us0kPBZXPvyW4yNRzntli0P/vRGleRhnbI31hn7YwwvxwwHMAtDPQZ/hBBCiJ2dZAAJIYQQQohvxB6D8/n3b4/hppdXs4fX98SzCrA8L3eh1hho9lxbg0dmBi2vy5ToG3dWBH2KY84cy6i9B1I2SIZSCSHE16VR9Jy3uevqb+eztSQAJIQQQgghvjHfGlfAvfOLaV6/gbJovNcsIA9oDwQ2LtCasmiMkfWN2JbJ0vJSxtQ3YnRMIa+VQgOG57HH/oM45eojUMbu/WAvhBBC9EUCQEIIIYQQ4htjGoonvlXNGSsbqVi8qtftDCDgOBy2ZAW2aeJ3HfxuR0aQUjTnhYm2tpOXTmeygTyPCr/iu388g0hpZLucixBCCLErkwHMQgghhBDiG5XvN/jzhWNZXlqMBroOBusc9NUYDuFYJgHXJS+d3hj86aQ16wvzSBsGhYbmiONHct69Z0vwRwghhNhCkgEkhBBCCCG+cXuUBynabwhzv/QzrKmFwmQKgMZImNXFBZR0vO9LXUEeN990JANLQt90d4UQYrenVebVn/S389lakgEkhBBCCCG2i79+axDx8kKKYnFsYGVRISvKS3BNE28z+2qlKBpSLMEfIYQQ4iuSAJAQQgghhNguQn6TGdNGM2OvCSilOHjlGobXN5H0WSR8PvqaJ0wBN582dHt1VQghhOh3ZAiYEEIIIYTYbvKDJv971mDODgYoSiQpb49S3hZlXUkRg5tb8LleD5P0ao7dv4rhA/J2QI+FEEKI/kECQEIIIYQQYrs6dFCYy0cHeXC+zYqyErTWTF6xhqJEkpZwEM8wQGXCQEprvn30YM4+btiO7bQQQuxmNArdQ0h+V9bfzmdrSQBICCGEEEJsdzccVUl7wuGlxe14wPzqSgoTSYY2thBIp0haFrHCCE/8xz6Eg74d3V0hhBBilycBICGEEEIIsd0ppbj95IEcNaKVW96opT3tEQv4WTCgAlPBCWMLuHXKIJTavb+tFUIIIbYVCQAJIYQQQogdQinFyeOKOHlcEU0xmy9qEgQtxf5DIpiGzFUihBBCbEsSABJCCCGEEDtcScTHkaNkqJcQQgjxTZEAkBBCCCGEEEIIIXJolXn1J/3tfLaW5NYKIYQQQgghhBBC9HMSABJCCCGEEEIIIYTo5yQAJIQQQgghhBBCCNHPSQ0gIYQQQgixS2tY1cyyj9bSYHuEyyJMHFtKUUUevqAUlRZCiK9KK4VW/atoTn87n60lASAhhBBCCLFLircmeeaW13nD9rOmuIh4wM/6FoPmdXGOXjKPc0NJTrr8YPJLIzu6q0IIIcQOJwEgIYQQQgixy9mwrIHHrnuFlUWFTGypY691G9CAAlylMLVmDXDfZc9w7EX7sucpe+zgHgshhBA7ltQAEkIIIYQQu5R4a4Inb/wncctiSHMrptZAJvgDYHS873zQfXP6J/zzh3/HSzvbv7NCCCHETkICQEIIIYQQYpcy97XFuLZH2HZ6fJhVPfy8sNXl3RP+RLI1vh16KIQQuz7dT1+7MwkACSGEEEKIXYaTdpnz8kIAvC2t5dlRyDTmwNzv3vPNdU4IIYTYiUkNICGEEEIIsdOLNcd564GPWPKv1Ru/wt2Kr3KVhpTfx8C1td9I/4QQQoidnQSAhBBCCCHETm3Dsgae+M8ZeE5uxGdrJvPVCtYVFrAqPAKWZJbZbQkoKtpm/RRCCCF2ZjIETAghhBBC7LTa6qM8dv0r3YI/sHUBIJTCsUxSPl920StXPY3Wu3tFCCGEELsLCQAJIYQQQoidktaa5297E7yv3VCPi2sDQT5//NOv2bgQQvRPuqN+Wn977c4kACSEEEIIIXY6/3x/Laf+cS4vGflff9aW3h74teaTx+bgJdJf9whCCCHETk8CQEIIIYQQYofTWuN5HusWN3Da35Zz0voILw8ajKW9LZ/tq3ujvWb/AKAU7YEAa375wlc8gBBCCLHrkCLQQgghhBBih3m11uaGL+KsWt3G+Jo66gryWFhVnlmpFK5hkqn28xXygLYw1T/+j89YEfQx7OZvoXbz4QFCCCH6LwkACSGEEEKI7aYp7RF1oMwPP/o0zvRVdiZLJz9CY94wPKVyAjfzqyuYvHLNN9MZrSmMJzC1xn7yQ977eA37PjqNSFHomzmeEELsQjRfKfS+U+tv57O1JAAkhBBCCCG+MTUJj4+aHB5YmeKftQ7Jngo6dwR8DMfF8+U+nn5ZXUl9JExJR6Bmm1IK8Hh54lhMz6O6tZ03fvh3Tnnyh5iWuW2PJYQQQuxgEgASQgghhBBfS9rTJB3NKxscHlud4t16hxZ76ybvKozFiPsD3ZZ7hsHdR07m319/j/y0ve06DQxraGR0Q4K3x4zANU3WFheitObjE/7E3n+dSmB89TY9nhBCCLEjSQBICCGEEEJsFa01sxpdbvgizqwGl68TllGex4lfLuaLQVW0hsPZ5dUtbey1eh2V7TGCtk3Y3rbBH4BR9U3k2RYj6hspSKaxPJeY38+CwnyKvnsXgx+cRnj/Ydv8uNuS1hpiKfBbKL882gshhOid/C8hhBBCCLGbSrial2psapMeHzY6rI57eMB3B/o5e4gfE81/zUvycq1NU1oTNhVDw4p5rR6xrUnv6YM2DGZMGrux7o/WBG2HUDpNWSzOpPW1KJ0pA70tqE2GkWlg/IYGPDLT43rEGNHYTGswwLrz7sWoyAe/Rd6xYyk6ezK+wSUYfQRatOuha1oyx6ouwluyAW/ZBrBMjANHoFc24C3dgDGgCOOAEejmGN6aJuz/eRXv8zVo28WoyEeNqoSSCFgG5uBSzEmDMQ8YgVfTQvq/noa3F6LiSVTH6bhK4Q4uxdpnGOZhYzBGVsCyDbCyHm9VI868dXiN7WilYEAx/qkHYU3ZE96YB0s34PktvJY4+C2MsQMwzz0EIxzIPa/GKMpnooojPZ97yoa0A3lBKaYtRD+glcr8m9GP9Lfz2VoSABJCCCGE2IFWxFz+ujTFs+ts0p5m/2KLq0YHOKbCB8CCNpc/L0nyYo2No+GQUourRgU4stzihfU2dyxO8q9ml7QHpoJ8S2EpaLU1RX7FUeUW7WmPD5tdmm2wFOxTZGApeLex5yjOuw0Jfvx5otvydkezIfUNlNDs+kCuFEm/j+VlJSyrKGPOuloumvXJtqn/s8m08G2BAAYGftfF8jLXwuhYV5hMAeDVtYPn0fbgB7Q9NBuA0N6DKf7340m/tQDv/rfxxTPbYiiUobBSNkbHcTTgGka34tbd+qVU9k+vKQoLa7Kr3S7BMQDDdfFpjeV62f4CeCvqSK1pJPXSZxieB56HUgaeoVCwsU+t6+GXT6N/+XS2jwCuaeCaHbWPfvksxqTBqMkj8F74FF3fjnI1PtfFBPCbMKgEr7YFHU9v7L8Gw1QYPhMV9EN+EC9goWta0Ckns11BCOPsyRjXnIqRF9x4GWIp7Mc+wH7gHWiMokI+rKAPVd8GtgcDizF+djLGtw+AaJL0w7Nw/v4+1LSgXBdVEMILB9CuRg0sxjf1IHxn7Y8K+jb/V2PpBty/vYdesA7CAYwpe2Gcvt8W7SuEELsKY/ObiF3JRRddhFKK22+/PWf5c889l/0m5q233kIpRUtLS7f9hw0bxh133JGzbNasWUyZMoXi4mKCwSCTJk3i/7N33+FRVekDx7/n3qnpDUgIJfSuIBbQBUEBEXXtimURxa6L/nCtuyr2VdeVta6ryKprr2thVUQQFRELSO8dEkhvk2n3nt8fkwwZUgALKbyf55knmVvPvTeZufPOe97zyCOPYFlWzHJKKd57771623TaaafFTMvLy+OPf/wjXbt2xe1207FjR0455RRmz56938f8SzXUbiGEEOK39tnOEH0/LmPa2gAbKm22VWk+zA1x/BcV3LLExzvbAhzyaRnPbQyyrUqT59e8vyPEyC8qOPKzMk6bX8ncAosqCywNQRsKg5Egjd+GPL/mta0hPtppkR+EsAa/Dd8U2Q0Gf5oLbURuU5e1b8fnvbv9wo1FAj9KawZt3RGdnBQI4A2FcNq7z4Xe4ycAhhETvKlatIUdE6cTevpznL4AikiGkhm2cPmDGFpHpynAaduYth0TfIpRs+3aP/ecVut32+EgaNYtUm0phV193mzTxHY6sUwDQ2scto2pNaZt49IaWymqnA6qnA78Lid+pwOtFI5wOLo9e+kWrOe+QO8sw7RsPOEwZvV5VIEwrN+FWRnE0KBsjcPWOLTGCNuoqhAUV8KWQli7E10VAsuOPIoqsJ/5nHC/W7A37Irsa1sRlcfcQ+COd7A35qPLqnBuK8JYtxNVWoXhC6DW5sGVMwiN+iuVQ+4ieO9/sTfmYwfCWCGbcJEPe2sROrcE+4dNBP70Kr7TpqHL6gYzY87bE7MIHX0X9rNz0F+sQn+yBOuPLxL63d3ozQWNriuEEC2JBIBaIY/Hw4MPPkhxcfEv3ta7777LscceS4cOHZgzZw6rVq3iuuuu47777mP8+PGRfuf7adOmTQwePJjPP/+chx56iKVLl/Lxxx8zcuRIrrnmml/cZiGEEKIlKA7anPZ1BQE7ErypEa7+/cHVAc5Z4MPSu6fVnv99SfMO4PxqlGJejy67s2D2ZZXa9yfVv3coLuH41eujXaZq1NwM77n1RvdW3ZZSr2d3oKg6yLLnujW/O7SOZuDUsbfAUD3TtGFQ5dydnRIyIplT9WUaWaZJ2DAiASkNQdMgXDPaWq1Ak60UYdOEaEBs93ZcYavBYzMgmqGlqHvuDKqvyZ5Braog1kl/w7Ztqv7wT/Susug67lA4JohWe3/mT1swC8rrtD/mZ3V77OXb8N/6Bg2xP1qMdfe7kSdW9XHb1ddjezGh8U+grYPkf00I0epJAKgVGjVqFJmZmTzwwAO/aDuVlZVcdtll/P73v+df//oXAwcOJCcnh0svvZQXXniBt956izfeaPgNtSFXX301SikWLlzIWWedRc+ePenXrx9TpkxhwYIF0eW2bNnCqaeeSkJCAklJSZxzzjns3LkzOr++zKLrr7+eESNGRJ+PGDGCyZMnc9NNN5GWlkZmZiZTp06Nzs/JyQHg9NNPRykVfS6EEEL81v69KYjP2iPTpBZFJDD0G3S4anEqPG6K4uP2vqDWtC0tp21ZBZ5giLhAkK4FRYxcvYFDt+/EFbZY2za90U3sc5ipOtDgrw7C1A6A1Ns0iGQBNbKt/WUbCrt6236nMzZzaI9t24aBDdhKYddkDzWw7J6tqS+wVVvN32hj8w27/r9kXVCO9dRs7NV50WmG1pGgUSPbc1iNZFTVZmnC7/+IvbO0/tmPfwpGA3uybFi/Cz17+d73I4QQLYDUAGqFTNPk/vvv5/zzz2fy5Ml06NDhZ23n008/pbCwkD/96U915p1yyin07NmTV199lXPPPXeft1lUVMTHH3/MfffdR3x83QKCKSkpQGREi9NOO434+Hi++OILwuEwV199Neeeey5z587dr+N44YUXmDJlCt9++y3ffPMNEydO5JhjjmH06NF89913tG3blhkzZjB27FjMetKpawQCAQKBQPR5WVnkW6pQKEToNxiZRDStmmsq1/bgItf94NRU1/3bXX68hCXAs48Mh0bttRyLIj89AW/Iok/uTio8bvKT4/HFORm4PY9ytxuz1t2v5TKwjLrfh2r2MRCkIWA4cQVsVFijafg+okbYsfdl9keVQ6M0hPc2ApjWWK7ICdT1HHNjjJAmpFXj56T6D7mxZcIG9Qe73v+esGf3eXGGIejY+zWwnOY+F3T1/7ABRvQCdv+v6wo/oRVbwdXI+XAYWHOX4xjZe5/2I5qfpniNby33EVIEuvWRAFArdfrppzNw4EDuvPNOpk+fXu8y9QWGfD5f9Pc1a9YA0KdPn3rX7927d3SZGuedd16dIEogEOCkk04CYN26dWit6d278TfRzz77jCVLlrBx40Y6duwIwEsvvUS/fv347rvvOOKIIxpdv7ZDDjmEO++8E4AePXrwxBNPMHv2bEaPHk2bNm2ASOApMzOz0e088MAD3HXXXXWmf/rpp8TF7cO3kqJFmjVrVlM3QTQBue4HpwN93c8DznMd0F22bCc7gKR9XryENABSq5+vJnLfk+z3w8zItA03DcTj8dSztjjw+v62mw9tgVlbgD3+1x8ftW/rz5z5GzRKHEgH8jW+9mcqIZoTCQC1Yg8++CDHHXccN9xwQ73zv/zySxITE2Om1e4+VaOhOj9a6zpDfD766KOMGhX7RnrzzTdHC0bXbGtvQ4OuXLmSjh07RoM/AH379iUlJYWVK1fudwCotqysLHbt2rXP69e49dZbmTJlSvR5WVkZHTt2ZMyYMSQl7fsNqWgZQqEQs2bNYvTo0TidMgLIwUKu+8Gpqa77sxsC3LikqtEuYK0iO0hrhq/dyOp2bdiZmNBwd5tG1j9p6Sp+t35zg/N77Cqkc2ExhtZsyEhjXdv0mEwTVyjMUZu2ooEvOrWLTu/60GISw7/sdjjVV4XLsjBsO9pVqiE2EHbUs7/a9XH2kycQwjYUQYe5923U3NPt574cloXDshvtkqX03ruIWWY9S2iNumo0gefmRieZth2tOdTQ9jQQcDr27VhMg7h5f8ZK9sT8r2utCQ2/B3aUNL76fWdjjh+69/2IZqkpXuNregoI0dxIAKgVGz58OCeccAK33XYbEydOrDO/S5cu0S5XNRy1bkp69uwJRIIxRx99dJ31V61aRd++sd/WZGZm0r1795hpiYmJ0RHHevTogVKKlStX1qnfU1t9waU9pxuGUSc4VV+65Z4v9Eop7L3coNXH7Xbjdrvr3b58UGy95PoenOS6H5wO9HW/sKuDP68MUxbSNPSu5DEiI3u16BK0Cnpu3UVmQTkvHD1439erDopkF5cwdNXmBoNhpmXTtqAMV8Ci1OPGXRUmrcRHYXxcNDgQ0CbzOufQtqwCd+XuUa7MoI0Zij27NvUXMq6vfU7LwusLRpbVGodVt1BydHEgZJo46gts7DEM/L5SWuMJhNBKYbv3HvwxbRsbhTYaGZK+dntqPXeGGj626DqNzLeUwqgn+Ke8Lsw/jcN++wf0juLoeTBDVoPXIXIujb0G3AAwFI4zDsOdlRa9T6z9v25eNAJr6tv1R1sNBfFunGcchZL3hBbvQL7Gyz2EaK6kCHQr99e//pUPPviA+fPn7/e6Y8aMIS0tjUceeaTOvPfff5+1a9dy3nnn7dc209LSOOGEE3jyySeprKysM78mUNS3b1+2bNnC1q1bo/NWrFhBaWlptEtamzZtyM3NjVl/8eLF+9UeiLxA7zmkvRBCCPFbS3IqPvpdAvGO2BsyR/Un3vv7e/jfsAQ8Zt35Cjg9uwV8wNCarrsK6VJYwsBtuZy0ZCUARs0H98aK+FYHILanpbA9NbnBxZKr/CQGgmgg0R+gY1EJQzZuJaegKHZbSrErKYEK7+4vc2oySWr/bqu91bqJrGHaNqlV/t3LKkWouht8fdsNG0bd2hO1MnKUbUdGyqr92Es7PMEQiuqiyZa113VMrXHofT/3tQUcDR+bpcCqDu7Ut9VIoeq6I7NhKMzXr8VwOfG+dg3K64rOC1R/KVl7ezW/2+2SCXv26D9Zs81a2wYwBnbGc//ZDR6qcdkI1JgBMesAYBrgMHFMvwwVX/cLQCEOBrqVPg5mEgBq5QYMGMAFF1zA448/vt/rxsfH88wzz/Df//6Xyy+/nCVLlrBp0yamT5/OxIkTOeusszjnnHP2e7tPPfUUlmVx5JFH8vbbb7N27VpWrlzJY489xtChkfTaUaNGccghh3DBBRfw448/snDhQiZMmMCxxx7L4YcfDsBxxx3H999/z4svvsjatWu58847WbZs2X63Jycnh9mzZ5OXl0dxcfF+ry+EEEL8XEdnOFhzYjJ39fNwWIpJ3ySDP3R28d3xidzax8uItk7WnZjMnf08HJFqMjDF5IqubpaOSeKdoxNYMiaJK7u66JFgkOGCjl7F0ekmo9s6GJZuMCjFoF09mSEHKgXcYdlcMv/7aJBk1Kr13Pq/OQxfu5HsopJ9ynYxbJuvu3Wuf6bWVDmd7EhOpDjOGwmGAMUeN5va1DPa1x77W5XZljKPm6AZGVK93O3CsWdgZM/AApDcJ5POs27APH9oJJumZlGlqDJNgjUjbhHJfAmaJrZhRBrnqRW4q8n60TpabNW0bJxhKzJqVu191xOwqXKYVBkGfkNFgkcNimQr1ZyfOgG46PY1eJ2QWKsuUvXh2UpR5TAJGwrtdkC3tnDOUdiHdkS7nWjTIORxYrVNQid6wO0ApwnxbuiQioqrFURxmhgj+uBYMBVjSCRz3OzRjriFU3GdPBDlilSADpgGlssRGe1MgU6Jw75mNI4l9xE/51acE4ehkr3gMFAeJ2ZWMkbPTFTnDMwh3fA88Qfi3pmMSmi4zpNymDhmXI457UJUvw7gckCSF3XeUJyzb8UYUX8tTCGEaImkC9hB4J577vlZw7UDnHXWWcyZM4f777+f4cOHU1VVRffu3fnzn//M9ddfv9daPvXp0qULP/74I/fddx833HADubm5tGnThsGDB/P0008DkW5a7733Hn/84x8ZPnw4hmEwduzYmEDWCSecwO23385NN92E3+/nkksuYcKECSxdunS/2vPII48wZcoUnn32WbKzs9m0adN+H5MQQgjxc2V6DP7S18tf+nrrnZ/lNbijr5c76pk/INnk6cF1R9WsTWvNZp9NyIY0l8JUkOxU7PTbPLImwM6AzYBkk7Oznby6NcSHuSE2V0YyY9u6YIsfioI/71tTQ9t4QuGYaW3LKzn1p5W8dNQgclOSIoGRRtiGwdaGMoCUosrt4qdO2QC4QyGSfX7yExs/JzU6FZXgd3qxlSKlyg8QMwKYJnJP4j6kA/EjeuHKySD++D4Y7kgQJ+Hh8ei/noP1wyaszQUEK4M4slPxHNYZ0+tEl/shJQ4KKyAYRrVPRbkcaNvG+nINoU+XYC/ciF3hB1tjeJ3oODd2ggcjIwFVEUBvLcTwujDPOgLap2DP+BJrTR52IAzlfsJWdTAnwYM57hCcpwwiNONL7K2FqCQvzguPwXHm4dgL16PfWIjOLcHZOwvVvR3B1xdgr8qLZOIc1Q333WdidmmDtm30xgJ0KIzROQPyy2BzISR7YUDH/b7/29dvnI2MRNzPTsINUFX9RxfXQKX0rm0jmT2NZPfsK+UwMc8/GvP8uiUPhBCiNVG6oQq/QohGlZWVkZycTGlpqRSBboVCoRAzZ85k3Lhx0o/7ICLX/eAk133vQrZmq8/GaShSnbC41EZrzcAUBwkO+LE4zKgvKigJ1133ggWLGLR1B+Yet5zPDDuSVVlt975zrelcWMz1n+9Dd/Z9qKETCAe45b3LAPih/00khnZ/H6qBdRmplHrj6F5YSJdJx5B+9cif9YXXgaAr/Nhbi1BeJ6pzRrNtZ3Mh/+sHp6a47i39c0JN+0fd/BlO974F1FuKUKCSzx4c1WKvzS8lGUBCCCGEEKJRTkPRNcGMPv9dRmxOx+A0J7tOTeGDHSG+KogUtq4IayytMUf1wf+fXXhC4ZggUHqFD8O295oBpIBDtuftW0N/QQBEE6lj47RsjmrrJOd/t2LUN2JXM6ISPJh92jd1M4QQrVV119RWpbUdz35q3u9qQgghhBCiRXAaijM6uDijw55ddhLJO+REnntiIfHr8qLdq/rk7eTrHjmNblPZNt5QmKM2bm10uV+DAkxb0+fQTLKfuhC1l8CUEEII0dJIAEgIIYQQQvymMrOT+csDo6ko9FGysxyX18n6+Hg+WOBjZ4B6hx1HKeKDIS6f9y3xwdDP23F9XcIaqH6gAR3vIvvpP0hXKiGEEK2SBICEEEIIIcQBkZAeR0J6HABtgdxTXDy4OsCDyyop0ZGgi7Jt0ip9HL9yPYO3bsdVU+R4PyX5qij3uCPFq2sCOlpjNFL+svNrV0jwRwghRKslASAhhBBCCNEklFLc0tvDjb3czPmpgEWfrSP8w0Ysw8C7R82g2qNz7XW7tuboDVsImSZb0lIoSIgEnTIqfGQU7Kp3Hc/R3fD0yPyFRySEEEI0XxIAEkIIIYQQTcpUilED2zBqYBus0JGs/imXe99dT7v8UjoWl2IAAdPEY1n7tL1eO3dhaI0nHKbnrgJ61or5+OzYocrCShE3sAMdp1/8Kx6REEK0fLr60Zq0tuPZXxIAEkIIIYQQzYbpNOl7eAdeHpxN7pp8VsxdT8GWYvLWFgJ7zwSKCwToVlC8T/uyAdol0ukV6folhBCi9ZMAkBBCCCGEaHaUUrTv1Zb2vdoCEA6EeeLCV/e6XkIguF/7yb5hrAR/hBBCHBRkfEshhBBCCNHsOdwOMnuko2rqAjVQzNnn2nMY+oYlnTCApFMO/TWaJ4QQQjR7EgASQgghhBAtwtHnDcJSioFbd+AOh+sNAlV43JR43Q3Weag9vc2fT/pN2imEEK2BBrRSrevR1Ce1iUkASAghhBBCtAidBmTR93c5KFvzuzUbSfH5I0GgWoEgpTUrM9vWu/6eN/7S9UsIIcTBRAJAQgghhBCixRj7x9+xcVA3/G4XR27cQt/cXcQHghi2jTMcJqewmEO35dVbKLrc7ULdMPaAt1kIIYRoDqQItBBCCCGEaDGUoTjr/pN48YoKEiv89N5ZQPuSUtyWXe/yNhA2DBb27cr5L15AWIfgygPbZiGEEKI5kAwgIYQQQgjRoiSkx3HWw6dSnpzA190681nfnqxqlwFUD+1Ode0KIGwarD6mP394ZQLuuH0vEC2EEAc7rVrn42AmASAhhBBCCNHitO2SxuUvnUebzikArG+Tzpfdc9iWmkypx01xnIe1HdrBX8/ljGfPxeEym7bBQgghRBOTLmBCCCGEEKJFcrgcXPDI78lbV8DyOesozi2j2O6Mp2cbev0uh6M6pTZ1E4UQQohmQwJAQgghhBCiRcvsnkFm94ymboYQQgjRrEkXMCGEEEIIIYQQQohWTjKAhBBCCCGEEEIIEUOj0LSuqsmt7Xj2l2QACSGEEEIIIYQQQrRyEgASQgghhBBCCCGEaOUkACSEEEIIIYQQQgjRykkNICGEEEII0SporVm/bCcLXl1E+foCPD4/htaYiR76n9qfQ84e2NRNFEKIFkOryKM1aW3Hs78kACSEEEIIIVo8rTUfPjyXpYvzyC4tI14TKfWpNbq4kqUvLOSnd5dy0t9PauqmCiGEEE1CAkBCCCGEEKLFm//QbL5fXkxOWTlKQ8gwcFoW8aEQABoIlli8c927TdtQIYQQoolIAEgIIYQQQrRohd9t4rvvtpOEItVXRanbTZLfHzPYrwJclo23sLSpmimEEEI0KQkACSGEEEKIFsu3Yjsbr3iR8t49Gb1qLT6nE5/TiQL2LPVQ3zQhhBD10yh0K3vVbG3Hs78kACSEEEIIIVocbWvWPPoZm99eRHFaKtd+sYC4UIh3D+2D27IaXO/gvvUXQghxMJMAkBBCCCGEaFFKNxUy75b3KS2qop2G05asQlfPK0iIJ6u8oknbJ4QQQjRHRlM3QAghhBBCiH2147OVvH/lGyw13HzTI4dB23LR7M7sKfV6mrJ5QgghRLMlGUBCCCGEEKLZs4NhFl39KnNKNVtzOhAyTToVFpMYCAIQVorN6Sm0LauICQjtSdf6vaioipSUlN+45UII0TJpFXm0Jq3tePaXZAAJIYQQQohmTWvNa1Pe502dQEFSIt5QmCR/gNL4OD7q34tir5sF3TqxJS2FzPIKDFs3uK3a9/4ff7zut2+8EEII0UxIBpAQQgghhGi28ouqePnuz9hZperN6lmSnUlcKITSmpDDQcg00VrHpvqw+5vsNW3So9O2bi7epzbYWvPjxjJeXVrC8hILI8HF6A5xTBiQRHqc3E4LIYRoGeQdSwghhBBCNCvhsM3WtQWsen8pO+esIT+rLRj1J663LysHwDIMQqYJgFKRUFHtGJDSsKptBpuT46LTCivC2LaN0cC2AZ79Mo//zNsBaExbU+p1syXs5NOQzc0bijlSV/G3YzMYkh3X4DaEEEKI5kACQEIIIYQQolkIVvj59J5ZlP60DdO2cVo2hsuJ3UCARgMZFZUoIGwYoDWo3XlCao9lO5SUsdO1e1vFHg9vf76Fs0fl1N221pz30npWFQQIJcZHp1e4nFS4XdiGgQ3M1/Ec/VUV56ZW8s8R6SS7pMKCEEKI5kkCQEIIIYQQosmEFm+hZOq75K8vZGlmW0KOyO1p2DAIGwYVLidZJWV0yy8kyR8gZJpsTkthY0YaVU4HSkfyfGylYoI/e1JAfDBEalVVdNrxqzewvNDHmSM7YZi7AzdlfoszX1jLDj9QnVVUIz4YIqeohM3pKfidzsg+teb1YoPv/7WOeLeJJ9WLz4ZkNMd0jOO6Q5PIiovdjhBCNHdaKXQjr6stUWs7nv0lASAhhBBCCHFAVW4vZtF7yyj9aAl912zBtDWrOnegc2EJWWXlGLZNSZyXTWkpZJWWke7zYxMZvUQDqb4qeu3M59O+PSnzePCEKiLZPrUygDQQrA7euCwLVf38u5yOMW3pkl/E6/fO5rw7RwPg84c5f/oa8kLVAaU9PizUPMssrWBzegreYAjTtrEMg1KvB3eFj0pfiMJ4L+s9bvJ+KOCtH/NJaZPAtb3jOD4nno5Jzt/ozAohhBANkwCQEEIIIYQ4IMoXb2HOfZ9SWRogqcrPIdvzcNia/IQ4jl23AadlA5EgS2IgSE5RCYVxXkri46JD1/pcTorjvPhcTvrk7qTM48E2FA7bxnI40EBBQhy7EhMIOSIBIIdlkVFeSUFCfEx7NrRJo++uCiq+38z73+Xx3+/ziV+yiQGBEBsH9mvwOBTgDYfJKSiOGVLXUgpLKRxak1pZRQiFz+nEEw5TurOC24v8/GV+MQPaeXjxhDa0kQLSQgghDiB51xFCCCGEEPssHLZZv2IXgdwS0rOTye6fFTM/mF9O6febscMW7mAIM2wT2lpE6ecrWBhwkOgPckhJKUlVfpy2Btsmu7QMh2XH1Owxq7t2pfuqCDoc+NwuCuLjKEiMj8n0SQwEKHe7iQuGwLbZmp5CUXxsQeawaZKXnEiF2xVZt9qatun0LPDhsm2u/cFHXmoW+tgs2pWWkxwIxh54rfVq9u20LKxaXcQMrQmbJuUOE9PWxIfClHg9FCXERee7gyHmVhp0freI67o56eXRbCwP4w9Dt0STkV0ScDkMtpcFMQ1Fnww3Se7Y7mMV/jDBsCY5zoFpHNzdGYQQQuw7CQAJIYQQQrQSWmusb9cTmrUcAiHMvtk4Tz0MvE58X6+j4n9LCRf78NuasMuJEe8m/pBsihPi2bIkl3DIIr1zKnFJHqwfNuHeVUJShxTMtDgWL9zBuqBC2Zr2xaW4LItlbhdVLidd7ACHVJazIQRWVRhTg0PbhA0Dn9OBqTU7kpMIuZwUuVw4tCbZ50cDTq1x7hH8iTkmIMVXRX5ifCT4A7Hdsqpr8PhcTpRtU7RHlk/t5RKCIVJq1QCylWJ7ShI5RSUM2J5HQUIcVS4XrupMpOqTisuyogEqDYQNRch0kOavwudyUel2R3ZRPd8dtvCbJkV7tNcGqtwuTNsmqdLHE6tceCwLbyiMw7YBxQMLS3CGw2jDiKxn2zjQxCe4CGio8Ft4QyESAsFIIep4D06XGTmXhsKtLbKx6J3qZGCHeIb3TyfObfLF5kpm/FTC1rIwCS6DU3okMmlgMiEb/ru8mJd/KiHfb5PkNjmpVyJXH5mO04wtaB0M23yxspjl2ysxFAzuksSQ7sk/KwhVXhXmsyUFrN5RiWkoDu+WzO/6pLKjJMjzX+axpchPgtvkpEPSOL5varQtWmuWb69kzopiKvxhslM9nHhoOm2SXPXuZ3VeJU98toNVeZU4lM2V3eHhmZspqoLSqjAOh0lmigunyyC3NERFwKJjqptTD0njsI7x0RHlhDgYaWJHU2wNWtvx7C8JALVAp5xyClVVVXz22Wd15n3zzTccffTR/PDDD2zcuJGHHnqIVatWYds2nTp1YuzYsTzyyCN11hszZgyzZ8/m66+/ZsiQIfvclokTJ/LCCy/UmX7CCSfw8ccfA7Bo0SJuv/12Fi5cSFlZGZmZmRx11FE8+eSTZGRkMHfuXEaOHElxcTEpKSn7vO9NmzbRpUsXFi1axMCBA/d5vZr91WfhwoUcccQR+7wtIYQQormwC8rxTXwWa9FmcBiAgrBF5V3vUt41k+DGAkIOk3KXa/cNsFIUzlqBrRQFbdKodLsp+3Yjh23ZTlwojA1YRG6Y2ybEsaFrZwJOBxvbpgNQ5nYRdDpZA3xXVsG45atxVGfnaCBoaHKTEzFtTWIwhB0MEXA4KEiIJ2waOMIWpm3XczS71XS3Ko7z1hnla/dCkSDQrqRElK3RDQQkNJBesTsApLSmwuXABpJ9VYSrs3kM2watUYAnGEKxu/aPAhy2xmGHMG1NSpUfWymqXK7ofIDihoJVRIasDzidtK2sitY1qqlcpAHbNFE150UpLA2V5cHIuQBsZVDs9YJhgKXBb0fPjSscxiwppWCz5uvF8PTHm6nqkMEWX+x5Xl1YyBPfFZKmNLmh6sKoGgpDFk/8WMrzP5Xy5tkd6JnuAWD5tgr+/OZ6Sn1hauJC736fT1aKiwfH96Bj9XL74ts1Jdz71jqCYTt6emb9VIDTaVBGJJhVcyIXbangsc+28+SFPchMdnHHW+v5fmM5prE7KeuFL3dw2chsxg/NjNnPq9/u5KnPd0Sfu4zICrNXlhC0qwNKwI+5Zsx1Wr2zik9WljCuXwp/GdtRsqyEEK2GjFPZAk2aNInPP/+czZs315n3/PPPM3DgQIqKihg/fjxnnXUWCxcu5IcffuC+++4jGAzWWWfLli188803XHvttUyfPn2/2zN27Fhyc3NjHq+++ioAu3btYtSoUWRkZPDJJ5+wcuVKnn/+ebKysvD5fPt/8L+Co48+uk57L730UnJycjj88MObpE1CCCHEL6Ftm8oL/om1ZGtkQtiGsAVAmQXBDflYSlFWE/ypVdxYEema1C2/iISqAEdt3IonFAYiN4o1N4sZFT6Gr92Aqg6MACQFgpiWjTMU4oLvFuPQOjrCiqUUO1KScNg6ug0D8ITDZJeU4rB2Bzj2hc/lbHxZpSj3uBoM/tQcqzscjj43geL4ePpvzyU+FCJkRgIBYYeJw7JwhcMxwZ/a21FaE3REgkeJ/kBMFzG/0xE5Dw21Vyl8bld0BLPaS9XsTxvVZ01rHFpHl4XIuaVmfs0+qn8GTZO8pKToNrfHxbOl0qq3GX4LdoSICQjWbMcX1pz91nbKAhZ5pQH+9Mpayqsi586yIw+AnaVB/u8/a/AF6t/Hnjbu9HHXG2sJhu1IsEtHHgDBkI07FNrjTEBZwOKql9Zy1zsb+HFTebQNNevaGp75fDuzlhVG97Mhvyom+BOj1nUJm3U/DlnV7Zm5vISXFubv03EJIURLIAGgFujkk0+mbdu2/Pvf/46Z7vP5eP3115k0aRIffvghv/vd77jxxhvp1asXPXv25LTTTuPxxx+vs70ZM2Zw8sknc9VVV/H6669TWVm5X+1xu91kZmbGPFJTUwGYP38+ZWVlPPfccwwaNIguXbpw3HHHMW3aNDp16sSmTZui2TipqakopZg4cSIAH3/8Mb/73e9ISUkhPT2dk08+mfXr10f326VLFwAGDRqEUooRI0bEHFOfPn3weDz07t2bp556KjrP5XLFtDU9PZ3333+fSy65RNJ8hRBCtEjhOSuxl23b/am8ZrphRIZVV4pA9fDq9QUlaoJAvXblY9p2vTeIBpBSFSC7uDS6DoA3FOLUn1aiDQOtVHR6YXxczPMa6RU+eu4qjNb4sfby3qsBn3MfRs3SGoetY2v11MOqFSCylaIwIY7P+vTg8dc/4Ip530bb7rJsTFvXaX9U9fDIWimctk1RnIetqUlsT0mkzOPeaztQqt7gQ3R29TIYBnbN7xDze0Pb9buc+B0OQoYRqXu0t/ubBrKqfCGb15aV8u53+QTDdjRQU5utobAixKxlRY3vo9rbC/LQ1ZlOdXZZ/YjJCqvOTKrwh/l2fVm9bahZ98Uvc9HV5/2J2dv32hYNu7vaNeDV7/MJWY1nqQkhREshXcBaIIfDwYQJE/j3v//NHXfcEQ1avPnmmwSDQS644AKeeeYZXnnlFZYtW0b//v0b3JbWmhkzZvDkk0/Su3dvevbsyRtvvMHFF1/8q7Q1MzOTcDjMu+++y1lnnVUnwNKxY0fefvttzjzzTFavXk1SUhJerxeAyspKpkyZwoABA6isrOSOO+7g9NNPZ/HixRiGwcKFCznyyCP57LPP6NevH67q1Otnn32WO++8kyeeeIJBgwaxaNEiLrvsMuLj47nooovqtPH999+noKAgGnhqSCAQIBAIRJ+XlZUBEAqFCEW/rRKtRc01lWt7cJHrfnBqDde96pOfCCc4I5k/tficTixX5AOu3+vEVo1/95dc4Ue7TRrK5bCB7IpydrRNiU7zEqZncSFb05JrdXFSVCa4ol3Bajgsm+zKcqxaRY3DGBjVp76hj+F5aUm4DZsqRyMf1jW0ryxnXXx6gxvSQKVnd1clp6HRDljUvQOFP8bx0Af/46s+XdjQJo2Q2yRhb38TWuMwNU7bJstXie33gYJir5eAubtjV0Pcysap9hJc0BplUl0jKBIws/f2Fa7WhDwm2la4lbWXgFGjG+Kj1SXEF5bhUHaDyyrgy5X5jDskZS8Ng4VrCjGwowlMdfcIJprgHplchm1Hg4YN2VVSxZb8StqnulmXW47LiD23Nc8jP41I17u9nB9fwGZdXiXd2+57FzfRvDTFa3xLfj+prSbI3Zq0tuPZX0rrvX09IZqjVatW0adPHz7//PNoBs2xxx5LdnY2r7zyCpWVlZxzzjnMnDmTzp07M2TIEMaMGcMFF1yAu7pQIcCsWbO44IIL2LFjBw6Hg2nTpvHWW2/x1Vdf7VM7Jk6cyH/+8x88ntg3xZtvvpnbb78dgD//+c889NBDJCUlceSRR3LccccxYcIE2rVrB7DPNYDy8/Np27YtS5cupX///g3WAOrUqRMPPvgg5513XnTavffey8yZM5k/f36d7Y4bNw6AmTNnNnqsU6dO5a677qoz/ZVXXiEuLq6eNYQQQgjR3Pj9fsaPHw/Aa6+9VuceRgghfimfz8f5559PaWkpSUlJTd2c/VZWVkZycjJH3/4FDk9CUzfnVxX2VzD/nmNb7LX5pSQA1IIdc8wxdO3alZdeeon169fTo0cPPv30U0aNGhVdZv369cyZM4cFCxbw9ttv06lTJ7755ptowGL8+PG0adMm2jVs586ddOjQgWXLltGrV6+9tmHixIls376dp59+OmZ6WloaaWlp0eeFhYV8/vnnLFiwgPfee4+ioiLmzZvHgAEDGgwArV+/nttvv50FCxZQUFCAbdtUVlby0UcfMW7cuHoDQDVBIq/Xi1Hrq6VwOExycjI7d+6Maee2bdvo3Lkzb7zxBmeeeWajx1pfBlDHjh0pKCg4KF88WrtQKMSsWbMYPXo0zn3peiBaBbnuB6fWcN0DT8wi8NRs9uwfE3CYlFcHOCrcToKG2WC2Q81oW+5GRuSygS3pKSzu2D66jtMKM+nrH9icloxlGCjA73CwM6nuh4ZOhSWk+vz1bluhcVpWtCByldNJQWI85W53tM1VTpNSjyfatazmaLWCHcmJ9NhVSGZZBV9360yZ17O7G5ZSBE2TzekpVNoh/vvgCQCcdevHaEfknuiOj2bTtaCIb3M6csq1E0FrBmzficNufIQy0wpjGwYle3wZlB8fT6iRjKUkXxUJgeC+1UDSkSwjiBTltk2z8eWBrNIyTFuzLTV5r9tuOKtKMzInAWdhGSt3VDbY/cpQcHy/NK4b22mv7brxxVWsy6tssIecJlIkO+SI7aigtB3p4tcIp6l45Zr+eF0mU15dx4rc2HqTLsPmyp47+Oea9gQthVbU2c+ePA6Ddy7thccllTNaqqZ4jS8rKyMjI6PFBhkkANR6SRewFmzSpElce+21PPnkk8yYMYPOnTtz/PHHxyzTrVs3unXrxqWXXsqf//xnevbsyeuvv87FF19MUVER7733HqFQKCaAY1kWzz//PA8++OA+tSM+Pp7u3bs3ukx6ejpnn302Z599Ng888ACDBg3ib3/7W70jiNU45ZRT6NixI88++yzt27fHtm369+9fbyHrGnb1zdGzzz7LUUcdFTPPrOdmacaMGaSnp/P73/++0fZDpNZR7eypGk6ns8V+YBB7J9f34CTX/eDUkq+7ee7RWH//tE4AyMSiSptopYgLacJeD40NgrsjLpHuBUUNBjxMYGNSCnZ1HWUNlDo8qIBNaomP4vi4yEhVgSCG266Taq+CGjNgNRJgUqxvkxYdjQtAhXYPROwJ2ixPb4M3FMYbCqFR+NxOSrxeLEOxKDOLkaUbGLZ8A4s6tafC7SZkGizNbhcJhClFOLy7g1vIVmhLkVzlp9v2ApTWBGyDKh0JlG1MSiGnqKTetmqgwu2iOMVLUpUfrWMDBPGVAQoS4iIBhpogS/VPZziMsypMwHDsfUzi6qLbtq4ZJwzC9h4FoPdY3mHbOPzV5zloR+o/NRZoaqQN5x+aRlVZHIve3dhoM08enLlP/z8nH5HFQ+9taLQpftOJtmu1V2vQBnFug8qAVW/wyFAwpn8GSfGRgOcVx3fkqhfX1ruPoG0Q1AbYmlBNN8V6zo+h4KQBGSTG173/Ey3PgXyNb6nvJaL1k1B2C3bOOedgmiavvPIKL7zwAhdffHGjRYxzcnKIi4uLFnl++eWX6dChAz/99BOLFy+OPqZNm8YLL7xAuNYoGb8ml8tFt27dou2oqd1jWbtvyAoLC1m5ciV/+ctfOP744+nTpw/FxcV1trPneu3atSM7O5sNGzbQvXv3mEdN0egaNfWPJkyYIC/SQgghWjSjfQqeu8+ofrL7XkARGakLQ+FU4A1W16Wo9Qm65re8pAQ2tEmjxOupEw+oeb4uI43i+DhqQjIVbhcVHjdLOmSS7PNj2JGRnQwgucpfpxBySZyn0ZIzWmscltVgAeWChHgqvB7ykxLYkp7K1vQUChPisczdmTbfd87mp45ZhE0TtxUm2R8gvaKRkUeV4rTFKzCrAy15SYm0KY/co+QnxlPicUePd3coKjIqWUFiPGHDwFd9T1KbqTVtyitJqPJHRvDSGtO2Sfb5yCotx6S6oDN7iQEpFRmWvuYp7H6+53nSGkNrskrLoue5fXl5pHZOA+fUoHpe7fnVv5/dJ5Eh2V5G9EllRJ/Uuk2r/nn+0Zn0bh/f2FFEHTcgnRH90mLWrz5MAELVxcRrNQaAsw5vw11ndsU0FHsO9GYoyE5zc9nI7Oi0/tkJnHNEm4YbUn29HTUBwVrHX7P5Ae3juHJYZp1VhRCipZIMoBYsISGBc889l9tuu43S0tKYIsZTp07F5/Mxbtw4OnfuTElJCY899hihUIjRo0cDMH36dM4666w6RaI7d+7MzTffzEcffcSpp56613YEAgHy8vJipjkcDjIyMvjwww957bXXGD9+PD179kRrzQcffMDMmTOZMWNGdH9KKT788EPGjRuH1+slNTWV9PR0/vWvf5GVlcWWLVu45ZZbYvZR09Xr448/pkOHDng8HpKTk5k6dSqTJ08mKSmJE088kUAgwPfff09xcTFTpkyJrv/555+zceNGJk2atF/nXQghhGiO3BcPx8hOI/D4p1g/bgZApcWTeNHvSDrxUEpeXoD66CdMfwB/nDtSL1qBt2cmJVlpFORWokIWyw/rQad122m/qxhH9Ydi2+1ke2ICS7LbodH4TQc+lxPbNNHAR/17kVlaTqfCEranJhN0mKRU+QkbBhU1I2IpRZnbhc/pwBsK1wkE1WRhZFT4Guy2VJgQ12iXJUVkZK/y2t2/TMgpKsETDrMqq13sCFPAqYuXc+Ly1VhKETINtIKpH34WGT0L+F//Xqxul0F8MITDsrENRYXbTcC5+zY64DDxhup+caaIFG8OGYrEQIhkvx/TjoyA5QhblMa7CDqdxPsDuKrbFT2ymuO0I5lUWu8ekcwEjHAYbRhYtUax8qBpU1mBpzqoYSgY0TOFk49uz6OLSpm/rSqaJOZ1KC46NIUJ/ZOYOncnc7b4CVXPS/eaXHNEGhcOSEZVd7f7y2ld6NchnrcX7iKvNJKNndPGw/ihmYzuv7vb/94YSnHLGd04JCeJdxfksbUw0iXwkM6J9M9J5v1lxews2x2oTPSYXDosizMPjwRznp7Ym//Mz+XLVSXYGhI8JqcMyuC8oZkkemM/2vxxVAcO7RjPv77IZWtRYHdQLNnJtpIwNX8KSkO8x8QwFJatyU5xccbAdE7ql4rLId+Xi4NX7aB3a9Hajmd/SQCohZs0aRLTp09nzJgxdOq0u9/1sccey5NPPsmECRPYuXMnqampDBo0iE8//ZRevXrxww8/8NNPP/Hss8/W2WZiYiJjxoxh+vTp+xQA+vjjj8nKyoqZ1qtXL1atWkXfvn2Ji4vjhhtuYOvWrbjdbnr06MFzzz3HH/7wBwCys7O56667uOWWW7j44oujI5y99tprTJ48mf79+9OrVy8ee+yxmKHeHQ4Hjz32GHfffTd33HEHw4YNY+7cuVx66aXExcXx8MMPc9NNNxEfH8+AAQO4/vrrY9o4ffp0jj76aPr06bMfZ1wIIYRovpxj+uMc0x+7qBICIVSbRJQj0p2q3f1n0va+MyBso5wmunpoa1U9FPmxtbZjWzaVuWXo7cW4Uzy4urejq2kwDPCV+Fj19WaKCyrYsbkUbRqktYln4wnd8H26mKz5q3AUlVPq9RDnDxA2DMq9bso9HpTWVLicuMMWpo4dClwDuxLjcVkWnlAYv7NutyW78fQh4oLB3SNF7bFuZnkliVVbWJvsjU6b+v4sehZGsoMCDpMfOrWnzOvBE7aIDwbRQLnbTdDpJNhItnBDo8ooIplC2jQpjTMp83roWFxCYlWAbakpaAWuUBBT26jqDCHbUDiUwmtq3AakJzgZ2jGeUV3jWbLTj0LRK8NF11QXbqeJy4DyoE2qx8TrjFzLovIg5VVh0hJd0aDIjI4J2FqzrSyMrTXZiU6cZqTdT57cAVtrdlaEQSky4806WeWmoTjryHaceURbiivDmIYiyVt3uX1hKMXJg9ty8uC2BMM2hgJH9d/hRcPbs6MkQH55kHZJLjKTY7tfdc+MY+oZ3QhZNoGQTZzbxGikDcN7pTK8VyR7KRQKMXPmNp6f1Cea/V3ut7BsTfLPPBYhhGhJpAi0ED9TTXG0g7WAWGsXuUmcybhx46SL4EFErvvBSa77b0NrDZUBcJrYW4qw/jWb0P+WUFYRosTjwajpgqM1wepuVAGniTYMzHAkEOF3OncHcrRma2oy69qmR+vpZJWW06WgCKdtszMxgdyURt6PtcZWis87ZTLzkTEA/G/o3XgtB0VxcXiG9+DT1DZs21GJJxwms6wCU2s+6duDrWkpjRZKNrQmuSoQO5nIkO3bUpPwBkO0LysnpbIKv9NBVtt4RvROoXOam4HpTjJdUOy3SfUapHjlb/C3Iv/rB6emuO4t/XNCTfuHttIi0N9IEWghhBBCCCF+PUopSIgU5DV7tMN8+HycD51HXGEF6ZVB/rcwl/nzNjJk2QayyspxWTYuy8aybaguzOsJhlBA0GFi2jadiktZ3yYNVyjMCSvWkllegaUiXXj8Dgd5yYkNZuOgFAbQoaQ0OumZYUdiKA/DbR+Tp47lBA1PfLyZD77bGQ0muauDUY1x1yosrQGlNVopdiXF06bCR7uycgxDccKRmVx5RDpZiXU/hKbE1ZkkhBBC/KokACQatGXLFvr27dvg/BUrVsR0OxNCCCGEaIxSCjIScWXAqZ3TGXdaH4oKq8h99wc2vrmYgGkSMgy65xfhDdeqE6TANgxclsUh2/LoVFRC2/IKAMzqXHbbUI3WB6q1qdjflaL3yO6RWjcKJo/L4ZSj2zPq7R14yn0Ylk2cP4DP7aq77ersH3coHK055FTQsa2Xvu3jyNQWvVMSGZrTnnb1BH2EEKI500o1HFRvoVrb8ewvCQCJBrVv357Fixc3Ol8IIYQQ4udyOk3aZSbQ7qpjOeTy31H+7Dy2zVzG8o7taJtXSEqVHwXRUbRQis5FJWRWB39qS/b593pjr2w7UjS5mqE1pmUz8viuMct1SXHx2ukdGDuvgqKQJqu4lLhgiEq3K6ZIs9OyiQsEUVrTxmvy8mnZdEmXIcOFEEI0TxIAEg1yOBx07969qZshhBBCiIOAYZokXzmS5CtH0o9IDaFtN7zOzjlrqHC58FqRblZxoVCkm9Ue63cqLmFRx/aEaw0JH0Nr0nxVJHp2Z+J4giE692yHy2XWWfyINAebTkrmpc0BPtvpZPuOckp2llEYF0fQ4cAGwoaBchjcNjiZawck/mrnQgghhPgtSABICCGEEEI0O0opOv59PNmVAWZO/ZiiHzaTXVa+e3j3PThszdCNW/iqew5U1+CJ0hpPKExGhY92rt0ZQE7b5paJ/RtsQ6JTcXV3D1d3B0gAsliVX8XXO/yUhBVHZXs5up2r0VGohBBCiOZCAkBCCCGEEKLZMuLdjL73JB6+9wvs+SvwBoIkBoL1Ltu+tJzjV65jRVZbdqQkgVKYlkWar4r0yiqU1hi14kcZyS4S4/avNk/vNl56t/HufUEhhGjhpAZQ6yMBICGEEEII0ay53Q7+9Jdjef/lZNb852vSK31A3W5gAGm+KnrtLCDZH8BWKjrcPERG6Kpy7w74DB/S4TdvuxBCCNFcGHtfRAghhBBCiKblcTs455LDOfzaY1ndNh0Aa89BuYAqp4P8xHgUYNYK/gDYSrEjOSn6/Mgjsn7zdgshhBDNhWQACSGEEEKIFqPLGQNJaJ/Mlns/JGntDuJCkeHig6ZBYZyXwoR4bMOICfzUFI1ekp1JyNxd8NntklthIYQQBw951xNCCCGEEC1KmyFdaPPhH1l590cUvrmQXfFx+NxOZg7oA0px5MYtZJeWR5evdDlZ1j6TrWkpBML+Jmy5EEII0XQkACSEEEIIIVqkPnecxCq3g9AHy9ialkqiP8D21GRm9e1JfCBAoj9I0DQpivdGhobXGm+gsqmbLYQQLYKufrQmre149pcEgIQQQgghRIvV++YTcPXOYv7bq8ksLWNbWgoAlW43lW537MJK0bZWZpAQQghxMJEi0EIIIYQQokXreuoh9Dm8PTuTEkmp9IGu5zterfEEg1iJngPfQCGEEKIZkACQEEIIIYRo8U6/9AgcDpOEQJAEfwBVOwikNQmBIB3Kyvm/u0c1XSOFEEKIJiRdwIQQQgghRIvnjXNx+Y3H8Owj80mt8pPsDxB0mKDBZVl0bBfH1X8/nWCgqqmbKoQQLYJWCq3U3hdsQVrb8ewvCQAJIYQQQohWIad7Ojc/MJoFX2zkpwXbCAbDtM9KZORpfcjpng5AMNDEjRRCCCGaiASAhBBCCCFEq5GU4mHMqX0Yc2qfpm6KEEII0axIDSAhhBBCCCGEEEKIVk4ygIQQQgghhBBCCBFDVz9ak9Z2PPtLMoCEEEIIIYQQQgghWjkJAAkhhBBCCCGEEEK0ctIFTAghhBBCNHs6ZFH+7QZChZW42iaScEQXlEO+yxRCCCH2lQSAhBBCCCFEs7bule/45L0VlDicKA0J/gCDKj9kwI2jSRndt6mbJ4QQQrQIEgASQgghhBDN1mfXv83CXQEqEhJBR8p3VnjczExN5o231jGhPMwRZxzSxK0UQojWRyuFVqqpm/Gram3Hs78kb1YIIYQQQjRLC695jYV5foLKiAZ/UAqUwgyH6Zu7i+c+28b0OVubtqFCCCFECyABICGEEEII0exse2cR21bspNLjJuhyRgM/NWzTZGtGGmcuXkbF45+xYmNJ0zVWCCGEaAEkACSEEEIIIZqVwLZitt3zIT92ah9J168vZV8p0Jq5vbqRUuVn+WUvEcwvP/CNFUIIIVoIqQEkhBBCCCGalZWXvcTW9FRsw4gJ/hTGedmemoyhNZ2KSkjyBwBY3a4tGIqyGz5g4ozxmKZ8xymEEL+YAt3aSua0tuPZTxIAEkIIIYQQzUbpvLWwo5hdXTtFp1W4XXwwoA+b2qQBkOKr4veLVzBoyw4yKiqpcLvY0CaN9S4PT/x9Ptfd+Lumar4QQgjRbEkASAghhBBCNBsbb38XgH47drI9JYmAw+SlowZR6vUAMGjLdh5/7X28wRCKyJe5llL02ZnPgpyOrF3r4Py//cArfxrcdAchhBBCNEOSHyuEEEIIIZoFHbLQJVUAJPsDeIMhFnfIojTOizYMUit9PP7a+3hCYQx2Z/KbWoOGIRu3kllWjmtrATde8yEV5YEmOxYhhBCiuZEAkBBCCCGEaBaWzVyBqh7uXQG9d+bzU4f2VA8Az+mLluMJhSMBnz0YgFaKHrsKyajw4awKcv91H/H9V5sPWPuFEKI10ahW+TiYSQBICCGEEEI0ueKCSirueg+UigZ8uucXUVUzBDxwzPpNGPUEf2qYWpNVWs6TI49mbdt0NPDG8z8w6Jm1vP7tTmy74XWFEEKI1k4CQEIIIYQQosl9evN/8Vg2sLtrlwKyS0qhOujjsOy9fndrGwq/y8l7h/RlY3oqmzLS6LhlJ/d+VUCn6ZsoLK36zY5BCCGEaM6kCLQQQgghhGhSO7eVkr5iG5q6I/SesWg5D51wLBpY0jGLvrm7cDSQBWQpxQ+dsulUVMIZi5bhDYWxqrOH+ufuIi8xgf5Wl9/0WIQQQojmSjKAhBBCCCFEk9G25r2pn+K07XpvTE9dvILuuwpQWvPmYQP22gXsrcP6M3DrDhxhKzqtpmZQm4pKzly8/Lc4DCGEEKLZkwCQEEIIIYRoMpvfWURJeYCQaVA7tGNX/3RZFk+98h7Hr1zLlrQU7jnpeGwgbOzOFQpXZ/k8e8wRfNWjC+8P7Mdzw4+iKM4bsy9Ta9IrfdHnVWGpCSSEEA3RqnU+DmbSBUwIIYQQQjSZokc/JSU9ndzkJNIrd9fnKYj3siqzLXnJiSzLzuTHTtmgFO8N6sf6Nmlc8O1ijt6wGYdtsyU1me87d2DmgF7RIFKZx81bgwfwz/+8i1aKTekpFMfHRQNLAGfNLmTeOSmY6iD/RCCEEOKgIAEgIYQQQghxQFX5ggRmr6TkL2+T4A/TvyrM53260zsvH9O2yU1OZH63zmhgQdfOzOndLVoIGmBphyxuyc4ktdLHhG9+JC4cxtCa8777iWVZbfnw0L7YhkFhQjzPHXM4mzPSKPV6SK+opMu2rdHt/BgwGffGNt4dmYw30YPyuprgbAghhBAHhgSAhBBCCCFEg8pKqlj+4w52bi0l4A/Tpn0SXTPjiFu9A6vEh6t9Cimj+2ImemLWCwbCLP1uO9s2FuNwGPQc0A5rTS7Fj83GU1SOUgq0AW4XnYtL6VJYzJfdOjF041a+7dIRDZR5Pczt1TWywT2zdJSiJC6O77p05Ni1G6N1fvrl7qIwIZ753XNAaz7p3yu6/M6kBJZlJMVs41MjgXtu/oy//O9zrD7tcXVIRbVJwjy8K+Zpg1FxBzYopLVGf7se+8eNsCEf4lyQnYrhD8OsZRAMwRFd4boT4H9L0LOXgy8IndJRXhe6rAp+2gxhC9ITUROHoU47HGUa2GtysZ/8DJZsQbmdMKw3tE1Eby+GOBfGSQMx+nU4MMdpWTD9C/jvj+hdpdjtkmBoD4zTj8Dom41esR0+W4au8EOZHxwGeFyQGgelPuyN+ZASh+qUgXHOUZCWALOWolfnorcVodMTUVkpGCcegspMOSDHJJqGXrQZ/fES8AehXwfU7w9DeZxN3SzRyjz11FM8/PDD5Obm0q9fP6ZNm8awYcPqXfadd97h6aefZvHixQQCAfr168fUqVM54YQTDnCr62rSANDEiRN54YUXeOCBB7jlllui09977z1OP/10dCNF/n5Nl19+OdOnT+fll19m/PjxMfNycnK4/vrruf766w9IW5555hmeeuop1q1bh9PppEuXLowfP56bb74ZiJyzkpIS3nvvvQPSnn01Z84cHn74Yb799luqqqrIycnhxBNPZMqUKWRnZ/8q+9i0aRNdunRh0aJFDBw48FfZphBCCCHqZ1k2H726hAVzNhDtV6U1h2zPI2VnAcWAchhg2Wz76//I/tMYMs45AoB1K3bxylPf4veFMEwFGn76YDmjVq3DG7Z2B3OUwrQs4kIhhq/dyEtHDWJmv55YhgFKsaRDFvUODVbTHEPxY6dshq/dGDN0/BGbtrKgaydsI7bc5Z7Pa/z1xBGctGwVh67KxVq5A2UorFe+gbvfxf3iFZhHdvslp3Kf6dW5hCY9B2tya03UOKxIgWxd/eD7jeh/fl4nKKarl98tDz1/LfrWN7AP74r6dClqj+0AaIeBVgr7bzNRo/vjeOYSVEJsQO9XPc6vVsM5j0MgHP3TMjfko79ZT/jvH2O2SUTll4NSaK1j2qyVQhsqcpxKgVJY9/0Xw+2ECj+2WX2Nq+dbt76OMeF3mPed85sdj2gauqQS++J/wZdrIgFCpSBkoW99A+PZSajj+jZ1E1s8jUI39ALcQv2c43n99de5/vrreeqppzjmmGN45plnOPHEE1mxYgWdOnWqs/y8efMYPXo0999/PykpKcyYMYNTTjmFb7/9lkGDBv0ah/GzNXkRaI/Hw4MPPkhxcXGT7N/n8/H6669z4403Mn369CZpQ43p06czZcoUJk+ezE8//cTXX3/NTTfdREVFxa++r2Aw+Ktt65lnnmHUqFFkZmby9ttvs2LFCv75z39SWlrKI4888qvt59cUCoWauglCCCFEs/bBf35iwee1gj9A/x076bWzAIPqmEzYBg06EGbbfTMp+mgJO7eX8cK0+QSqIu+1tqWxbc2Rm7bisOw6QQtPOIwCEgNBzl+4GHf16F0APfPy6ZW3C2XbNMTvchJwmDHT4kJhMioq9/lYFfDUiKHRLCLs6p9lVQTGP4m9tWift/Vz6dwSQr//O6zLqzUxEvypHdwC0NUBsnpVB0WiD4DCCoxPluxepNYDwAjbkYwhQM9eTvjS536lo6pLbymE06ehA+GYttRwAOSXVy+sY45dK7W7gGvNsWkNtsauCmLXBIZqz7c19gtfEb7p1d/qkEQT0Fpjn/cUzF8XmRC2IVT92lFehX3BU+iftjRdA0Wr8ve//51JkyZx6aWX0qdPH6ZNm0bHjh15+umn611+2rRp3HTTTRxxxBH06NGD+++/nx49evDBBx8c4JbX1eQBoJrAwQMPPFDv/KlTp9bJ9pg2bRo5OTnR5xMnTuS0007j/vvvp127dqSkpHDXXXcRDoe58cYbSUtLo0OHDjz//PN1tv/mm2/St29fbr31Vr7++ms2bdoUnTdixAg2b97M//3f/6GUiqQqV3v77bfp168fbrebnJycOoGOnJwc7r33XiZMmEBCQgKdO3fmv//9L/n5+Zx66qkkJCQwYMAAvv/+++g6H3zwAeeccw6TJk2ie/fu9OvXj/POO4977rknei5eeOEF/vvf/0bbM3fuXAC2b9/OueeeS2pqKunp6Zx66qkxx1Jzjh544AHat29Pz54992k927a5++676dChA263m4EDB/Lxxx9H52/bto3JkyczefJknn/+eUaMGEFOTg7Dhw/nueee44477oguO3/+fIYPH47X66Vjx45MnjyZysrdN2c5OTncf//9XHLJJSQmJtKpUyf+9a9/Red36dIFgEGDBqGUYsSIEdF5M2bMoE+fPng8Hnr37s1TTz0Vnbdp0yaUUrzxxhuMGDECj8fDf/7zHzZv3swpp5xCamoq8fHx9OvXj5kzZ9b5GxFCCCEONsUFlSz8YmPMNFc4TK+dBY1+d5r3xBy++mQN2tYxiSjJVX4yKqsavfH0O0zeP7QvPo87Oq1NRSWn/7SC8777CYdl1bueYds4rboBImM/Esm1UnzeK5LlU5NtAkQCQYEw4X/P2/eN/UzWM59DWdXu4FN1W6LBNnZnwPwsStV77WqON3q+bI3+fAX24s0/bz97c+vrYNf/Hfyega7aIsdOw4GvPQM/e8zTL89Hby7Y7+aKZurL1fDdBqjnfx+7Oij4j08OfLtEi1FWVhbzCAQC9S4XDAb54YcfGDNmTMz0MWPGMH/+/H3al23blJeXk5aW9ovb/Us1eQ0g0zS5//77Of/885k8eTIdOvy8fseff/45HTp0YN68eXz99ddMmjSJb775huHDh/Ptt9/y+uuvc+WVVzJ69Gg6duwYXW/69OlceOGFJCcnM27cOGbMmMFdd90FRPruHXrooVx++eVcdtll0XV++OEHzjnnHKZOncq5557L/Pnzufrqq0lPT2fixInR5R599FHuv/9+br/9dh599FH+8Ic/cMwxx3DJJZfw8MMPc/PNNzNhwgSWL1+OUorMzEy++OILNm/eTOfOnesc45/+9CdWrlxJWVkZM2bMACAtLQ2fz8fIkSMZNmwY8+bNw+FwcO+99zJ27FiWLFmCyxXpuz579mySkpKYNWsWWut9Wu8f//gHjzzyCM888wyDBg3i+eef5/e//z3Lly+nR48evPnmmwSDQW666aZ6r0tKSgoAS5cu5YQTTuCee+5h+vTp5Ofnc+2113LttddGjwXgkUce4Z577uG2227jrbfe4qqrrmL48OH07t2bhQsXcuSRR/LZZ5/Rr1+/6HE9++yz3HnnnTzxxBMMGjSIRYsWcdlllxEfH89FF10U3fbNN9/MI488wowZM3C73Vx++eUEg0HmzZtHfHw8K1asICEhocG/sUAgEPPCUFZWBkSyiSSjqPWpuaZybQ8uct0PTnLd61qycAumk5jsn/ZlFeBS2I2EgPyFZWz/ch3K6cKsFe1JDfmx3fWHf3wON6FwgI/796IgLQFTwZ4hgJyyEsauXs3svj1jpivbpsfOAlxmbLQnYJpUJrjwEq6zP00Yf/XvXixU9TJuwyLsMauXiW2B9clPqFtOavC4fw3B974DpwLn7mwm09JobUTbYlMdANrfGFDN6dnLelZNgMVhYH34I45+7fdzR/vQlAVrwNPwR5CG4na2ijwaDADtjWmgP/wRusj/emtgf/QjOsEZyfxpyOylWFV+wjqyzIG87vI31vzVjgkA3HnnnUydOrXOcgUFBViWRbt27WKmt2vXjry8vDrL1+eRRx6hsrKSc85p+q6oSh+oQjv1qF3PZujQofTt25fp06fH1ACaOnUq7733HosXL46uN23aNKZNmxbNVJk4cSJz585lw4YNGNV9u3v37k3btm2ZNy/yjY1lWSQnJ/Pcc89F6/ysXbuWfv36sWPHDjIyMnjvvfeYPHkymzZtim6nvhpAF1xwAfn5+Xz66afRaTfddBMfffQRy5cvj643bNgwXnrpJQDy8vLIysri9ttv5+677wZgwYIFDB06lNzcXDIzM8nNzeWMM85gwYIF9OzZk6FDhzJu3DjOOuusaHvqqwH0/PPP89BDD7Fy5cpollIwGCQlJYX33nuPMWPGMHHiRD7++GO2bNkSDZzsy3rZ2dlcc8013HbbbdH9HXnkkRxxxBE8+eSTXH311bz88suUlpY2eq0nTJiA1+vlmWeeiU776quvOPbYY6msrMTj8dQ5Z1prMjMzueuuu7jyyisbrAHUqVMnHnzwQc4777zotHvvvZeZM2cyf/786HrTpk3juuuuiy5zyCGHcOaZZ3LnnXc22vYaU6dOjQYHa3vllVeIi4vbp20IIYQQomn5/f7oveBrr72Gx/Pb1boRQhycfD4f559/PqWlpSQlJe19hWamrKyM5ORkDr33G0xPw1+Qt0SWv4Kf/jKUrVu3xlwbt9uN2+2us/yOHTvIzs5m/vz5DB06NDr9vvvu46WXXmLVqlWN7u/VV1/l0ksv5b///S+jRo369Q7kZ2ryDKAaDz74IMcddxw33HDDz1q/X79+0SAJRCJy/fv3jz43TZP09HR27doVnTZ9+nROOOEEMjIyABg3bhyTJk3is88+q5PiVdvKlSs59dRTY6Ydc8wxTJs2DcuyMM3INzeHHHJITHsABgwYUGfarl27yMzMJCsri2+++YZly5bxxRdfMH/+fC666CKee+45Pv7445jjq+2HH35g3bp1JCYmxkz3+/2sX78++nzAgAHR4M++rFdWVsaOHTs45phj6hzrTz/9BESCNGofvomp2dfLL78cnaa1xrZtNm7cSJ8+fYDYc1aTFVX7mu0pPz+frVu3MmnSpJgsrXA4THJycsyyhx9+eMzzyZMnc9VVV/Hpp58yatQozjzzzJj97+nWW29lypQp0edlZWV07NiRMWPGtMgXdtG4UCjErFmzGD16NE6njCRxsJDrfnCS617XD19t5qNXl8RMa1tWzjEb9l5T47sRA9lWEvvttzMcZtzy1Q12y9qaksT3OR3rn1nLu4f2ZUObNFAKbzDIuCWryCmOfAllE+kulZuYwJmLlnHnKaNZkdV2d1Hgajq4u/v5VcHD8RuR9/CZj83gsK3b6+7UNDCGdsc94/K9tu+XCI64D7YWxu7a0hi16uBoiNS52V/7kAGkqZVhoxTmbb/HvOTY/d/X3poy6M9Q7Gu0HfWxAdv8BcVolULfeSqz0yvkf70VsB/7BP2PT2K6TNaRkYixMFIW5EC/xtf0FBDNV1JS0j59hsvIyMA0zTrZPrt27aqTFbSn119/nUmTJvHmm282i+APNKMA0PDhwznhhBO47bbbYrpRGYZRZzSw+lLq9vxnVkrVO82uLiJoWRYvvvgieXl5OBy7T4NlWUyfPr3RAFB9QY/6Eqlq779m+fqm2XsUNuzfvz/9+/fnmmuu4auvvmLYsGF88cUXjBw5st722LbN4MGDY4IrNdq0aRP9PT4+/metV9+x1kzr2bMnpaWl5ObmkpWVVW/7avZ1xRVXMHny5DrzaldOb+yaNbRdiHQDO+qoo2Lm1QTiaux5/JdeeiknnHACH330EZ9++ikPPPAAjzzyCH/84x/r3VdDUWGn0yk3Ea2YXN+Dk1z3g5Nc990GHtWZma8tIxza/R6c500gYBt4QuH64wimIuHwHAae2I/NLy2OmWXhYGNiCt3zi+qv7xICq25vrTrCFlSpyDXS2mZjShrxlUE8oTDFcV4WdWrP8vbtmJvTmbYVPnyGMzLiS82IUVpT+/a3ShsEtMkjb37IkWsjwa2aQFLt1rsmDMfxG/9tGOcdg3Xve7EfaLXGVavGSSRIs3sEtb3a4/5UN1AHKDrCVk1wyWXiPHsI6jc4Zn32UHis8dos9X2k14BlNHLsjdUAAnCZcMrhMH+u/K+3Avq8Y7AfnNlwAMhQqAt+h+FyxXwOO1DXXf6+Wg+Xy8XgwYOZNWsWp59+enT6rFmz6iSF1Pbqq69yySWX8Oqrr3LSSb9tF+L90WwCQAB//etfGThwYLRAMUQCEXl5eTFBh9rdwX6umTNnUl5ezqJFi2ICBatWreKCCy6gsLCQ9PR0XC4X1h5FB/v27ctXX30VM23+/Pn07NmzTtDhl+rbNzJ8YU2x5Prac9hhh/H666/Ttm3b/cpE2Zf12rdvz1dffcXw4cOj0+bPn8+RRx4JwFlnncUtt9zCQw89xKOPPlpn/ZKSElJSUjjssMNYvnw53bt33+f27akme6n28bdr147s7Gw2bNjABRdcsN/b7NixI1deeSVXXnklt956K88++2yDASAhhBDiYOGJc3LK+Yfy7guLotO0Uizs3IFh6zZFigbXXsFUGF4XHW45kS6d0lnx4w7WrdgVE3/4KTsTd9iiU3Hp7iBLdWAmvbLhjJAatlJsTUuNPve7XXzdPYevu3Wu86F/fbs2rM+sNa2BoEmbCh+vPvYKA7flYqtIIeTocVVXRzbPH4o5uj+/NWPiMKy3voXVebsL2yqFpRSm1tG6RErryChgNUGthtQ6+QqwTIWy69Y3qllKK8BQYGvMv45Hpf1G3T5uOwVe/wZ21s2Q0Hv8vufRGbbePdLXnsdeE+Br4LyYd52JnSJd9lsL1T4VdfeZ6L+8VSu4W800oG971FXHN10DRasyZcoU/vCHP3D44YczdOhQ/vWvf7FlyxauvPJKINJTZPv27bz44otAJPgzYcIE/vGPfzBkyJBo9pDX663TS+VAa/JRwGobMGAAF1xwAY8//nh02ogRI8jPz+ehhx5i/fr1PPnkk/zvf//7xfuaPn06J510Eoceemg046Z///6ceeaZtGnThv/85z9ApJbPvHnz2L59OwUFkZEDbrjhBmbPns0999zDmjVreOGFF3jiiSf405/+9IvadNVVV3HPPffw9ddfs3nzZhYsWMCECRNo06ZNtL9hTk4OS5YsYfXq1RQUFBAKhbjgggvIyMjg1FNP5csvv2Tjxo188cUXXHfddWzbtq3B/e3LejfeeCMPPvggr7/+OqtXr+aWW25h8eLF0Vo6HTt25NFHH+Uf//gHkyZNihax/vrrr7niiiuiI5jdfPPNfPPNN1xzzTUsXryYtWvX8v777+9XsKVt27Z4vV4+/vhjdu7cGa07NHXqVB544AH+8Y9/sGbNGpYuXcqMGTP4+9//3uj2rr/+ej755BM2btzIjz/+yOeffx7tiiaEEEIc7I44tgvnXX0U6e12Z9DuTE5kbs+uFCXVCg4YiuRje9Hz5UvxdG2D6TD4w3VHM/qMfiQm766v065dAplt42hbWk5BfBxhpaIjWiUEgnQoKkE1UJpSAxvSU/G5nLGBDdvGqH6eUV7JCctWc+m8b+sdFaw+f/p0HgO35aIA+7Au0KVWBnS3drgeOR/XI+fvU3f3X0oleHD+dwrq3CExhaAtQxGu1e3LIHLcuBr5Hrf2eUyLh0fOx/zsVvRRkZHOokEfQ6EdRrTrlzqkE47/XIV54TF1NvlrUU4H/HAv/K5nTISnJgvJOr4vXDMKlZUSMw8ii5s1GR81x+g0UacNxhzZh+hZq338ORmY/7wYc9KI3+BoRFMyrjwe4/nLoG+tYuWJHtQVx2G8fwMqQep7iV/Hueeey7Rp07j77rsZOHAg8+bNY+bMmdGBm3Jzc9myZXcX6WeeeYZwOMw111xDVlZW9FG7Hm1TaVYZQAD33HMPb7zxRvR5nz59eOqpp7j//vu55557OPPMM/nTn/4UMzz4/tq5cycfffQRr7zySp15SinOOOMMpk+fznXXXcfdd9/NFVdcQbdu3QgEAmitOeyww3jjjTe44447uOeee8jKyuLuu++O6br2c4waNYrnn3+ep59+msLCQjIyMhg6dCizZ88mPT0dgMsuu4y5c+dy+OGHU1FRwZw5cxgxYgTz5s3j5ptv5owzzqC8vJzs7GyOP/74RjOC4uLi9rre5MmTKSsr44YbbmDXrl307duX999/nx49ekS3c/XVV9OzZ0/+9re/cfrpp1NVVUVOTg4nn3xytGbOIYccwhdffMGf//xnhg0bhtaabt26ce655+7z+XE4HDz22GPcfffd3HHHHQwbNoy5c+dy6aWXEhcXx8MPP8xNN91EfHw8AwYMiCncXR/LsrjmmmvYtm0bSUlJjB07tt4sJiGEEOJgNeDwbPoPbs+uHeX4ygNYtiY+wUWb9knYhRVYJT6cbZNwpMZmVjgcBiNO6sXwE3tSUebH4TCIS4h0o7ZzS2hTWM6iP76OoyiS4RxWihOXrWbGMYcTMqpHvar1rb5Sis6FxRy/ah2LOran1OvFHQ4zYHsuI1ZvYE27DHruLEArxep2bQg59i0ju0NRCQD+v5xG2rWR+gy6MgC2DQmeAxL4qU0lx+GcdiF66hnoVTvQ/hB4XagkL/Roi/5uI1QEUId3QSV7YfEWdH4ZJHtRh3SGqiAUlmOjUBV+yEzGaL87a8r46E/o8ir0jhLwOCPzwhbklkCcC5WZcmCO0+uC/05Bl1fB3JUQtlD9O6IykzETvQDoO8+ANbkQtCA7FVXuR8e7UDvLMPLL0ClxqHbJkJYQ2R6gd5VhbMpHB8NolwOV4EH1aX/Ar6M4cNTvD8M4ZVDkb9gfgvapKI90v/q16FqB+tbi5x7P1VdfzdVXX13vvH//+98xz+fOnfuz9nEgNOkoYEK0ZDXV8VtqdX/RuFAoxMyZMxk3bpz04z6IyHU/OMl1bxpWpZ8VxzyIpWFrciJDNm7liZFDCdXUZtSRAsh2A4Ng1DAtmz/Omc8rRx7KrqREvu+Uzay+PRruHuWvhAmRgtNn3Pg/HhyQSvc/HFX/sqJVkf/1g1NTXPeW/jmhpv2H3LegVY4CtuTPQ1rstfmlmlUXMCGEEEIIcXAw4z30+XwKcf4AvfPy8TsdhGrXUlRqr8EfAEPbmLbNcas2AJDkD+xbgWSgX4Zbgj9CCCEOGhIAEkIIIYQQTcKRlkj6387B0Bq/00FcsO5Ir40xbJtu+UUYQMeSUpJ9VXTLL8QTDNUZASuq1vQplw/6Ba0XQgghWhYJAAkhhBBCiCaTfspAku49E7/TSe+8XfUHbmpNCxsG21OS2JqShM/p5IjNuwe8SPQHMLVmzIo1dUcGIjKCliHVD4QQYp/oVvo4mDW7ItBCCCGEEOLg0ubcIyh+aT6VYSfeUIgqp7NONy4bmN89h4U5HQhU1/EwLYvChHjufv9TkgJBqlyR6f1yd+GwbT7v3Z2SOG90G4lVfs4uzmX6ATsyIYQQovmQDCAhhBBCCNHk2t0wlk4lZVQ5nXWydLRSfDSgN192z4kGfwAs0+Q/Qwbx+2suYnNqEoXxu0cj67WzgCu+WMBF87+nfVEJ7YpLeS+lhH9c1v+AHZMQQgjRnEgASAghhBBCNLnkkb3w9M3i0K25dYo/b0tNZlmHrHqLO9uGwdIOWfx17MjY6YACctOSmZJhsX1iB0ae2vc3PAIhhBCieZMuYEIIIYQQolnwXDoC4y/vRZ5oHQ34LO6QhbJtdEOjgmlY0K0TJy5fQ15SArZSVDkdnD9lGA8MzDowjRdCiFZGK4Xex1EVW4rWdjz7SzKAhBBCCCFEs9BvcHtK4jygNVmlZbhCYQBK4rwNB38AbSh2JSZy6PY8Tli5jnVt0jnnjtH0luCPEEIIESUBICGEEEII0Sy43A62nTAIlKJLYQk5hcWgNXHBIMq2G103qcpPWClWZLbl2Ewn/bunHqBWCyGEEC2DBICEEEIIIUSzcdHFh+EMh/GEQsQFgwD037Gz0Qwgw7Y5eelKCuPjKE1NYMJtxx2o5gohhBAthgSAhBBCCCFEs9E1waTq0Bx8TidaRW5Ve+wqJKukrN4sIGXbJPoDDN60HW+KhyteOv9AN1kIIYRoESQAJIQQQgghmpWpfxxMbkoSKVVVoBSG1pz73U90LSiKLKA1qnqo+DYVlVw952uKh/Vh2IfXYDjNJmy5EEK0HrqVPg5mMgqYEEIIIYRoVuJcJuc9fy7fnPI08YEAPpcLbzjMOT8spTDOy8aMNGxD0aG4lIGbt/PkeeNYc1Yb1EE+uosQQgjRGMkAEkIIIYQQzU5SegJD37uSAdvzMGw7mvGT7qvi8C3bOWrjVnrsKuCrIf1Z8PsMCf4IIYQQeyEBICGEEEII0SwltU3kxI+v5VhVRafCYozqGkDOsEW3gkK6HN+LN28cTLpbbmmFEEKIvZEuYEIIIYQQotlyepyM+vcEhm0vofizFQTK/CR2zSDl+D4YHmdTN08IIVotrRS6lWVXtrbj2V8SABJCCCGEEM2eOzuFzIuObupmCCGEEC2W5MsKIYQQQgghhBBCtHISABJCCCGEEEIIIYRo5aQLmBBCCCGEEEIIIWJIDaDWRzKAhBBCCCGEEEIIIVo5CQAJIYQQQgghhBBCtHLSBUwIIYQQQjRrOmwRfvs7QjO+xF63ExXnwnHqYJyXHYvRKaOpmyeEEEK0CBIAEkIIIYQQzZYOWVSc9Thq4Xo0UOL1sLBNJiWLikia9BrtLjmGYeMHog7yug5CCCHE3kgASAghhBBCNEvhsipyf/8PUlZvRwPvDuzHzAG9QYOhNbahUD+W8H7+jzx07SAMQ6obCCHEr0VXP1qT1nY8+0veJYUQQgghRLOjtWbexS/i3LgLgJn9e/PRIX0io9IYCss00EphGwZbt1dw7/PLmrjFQgghRPMmASAhhBBCCNHs/PDwZ8xOTCc+GGJB5468f2ifRpdfsbqITRuLDlDrhBBCiJZHAkBCCCGEEKJZscJhPlpahG0o5vXoQpXHSdg0G11HG4rp983FtuwD1EohhBCiZZEAkBBCCCGEaFY2TP2QXUmJeIJheu0qIOjYt7KVHl+AL2d8+xu3TgghDg5aqVb5OJhJAEgIIYQQQjQbWmsK/xep53PY1u2ElSKxyr9P66b6qlj5/grKfcHfsolCCCFEiySjgAkhhBBCiGZj830z2ZUQjysc5oWhgzFtm0O25XLW90tI8gcIOBysaZfBsux2VLlckZW0Ji4YJCEQxNSaBx76hvunHtu0ByKEEEI0MxIAEkIIIYQQzYIdtvjvogLmHXM4yrYxtOb3P62ifWkZmkjqutuyOGzLdvrl7uS9Q/tREudBaU3HolK2piaTU1RC3OptlFcESUxwNfUhCSGEEM2GdAETQgghhBDNwjf/+IJ5vboCoA2DIRu2klVahiL2ptUA3KEwY5evxmFZxIXC5KUkkZecyK6EeDIq/Tz7j2/QWjfFYQghRKugW+njYCYBICGEEEII0SzMXl2KYUdG8XJYFv135DV4s2oAqVV+uhSWYGqNVgq/08mqzDakV1ayZlsFf3l60QFruxBCCNHcSQBICCGEEEI0Od/KPDbFxWMbkdvTVF8Vrr0M6W4DGRWVuycohW0YbE1LJTctmbfD8Rzz4GK+WVH0G7ZcCCGEaBkkACSEEEIIIZrcxqtfwmHvDvhoHUnVt5WKPKg/db++IX1XZ7bBFbbQhkFBXBxXfpzLnG+3/WZtF0IIIVoCKQIthBBCCCGaVNX2YlI35tErI5NvuscRFwxx3Or1kWygmjo+SkUKQWtNTcjHAHKTE2M3Vh0wSqnyE+8PUOlx43c6uWVuIRXfV/H7LuYBPDIhhBCi+ZAMICGEEEII0aS2XPQcu5IT6VBcjGlZnPLTCtJ8VZGZSu1+EMkI0kS6f+1MiKc4Pq7uBrXG0Jp+O/JoV1pGUpUfSymydxWycN6m6GKTXlvPFxvKpVi0EELUQ6PQqpU9qJs1ejCRDCAhhBBCCNEkbH+IzZfOIJBXjuUwcVs2I1etJ83nr38FpUBrbKUod7v4qkeXustojarOEooPhXGFw5FRxLTG73aSH58cXXSVDy77X140oBQ2TYIOE8Nh0s4DhyQalFRZ2Lama5qb9HiTr/MCbK20KQ+Dz64OSCnFoSkmp3ZLICfJwagsJwlOA19Ys7HSosqCZIcibGvS3Yp2cXILLoQQ4sCTd59WbsSIEQwcOJBp06Y1dVOEEEIIcZAIbC4k74X5+EuqcPdsR9oROVhFlVha4yuoJDxvFb41u8jzWWSVlhNyO9FKEe8P0D0QRKMa/o5WKWwF/+vfC9vcoztXdeaPJxQi4HRGlw86HNhaUxrvJRysitkWgNIaE3CGwnhCYXxOB7sCitmlkQAPSvFdaRUh00QbBtEkeqUxNNgKFpVpFi2uiDSj+mEDthHJWEJXr6U1pm1jVm/FZUCneJM/9PLyab7N0jIbp6HoEqf4rtgiYEGKC27p46VrgoM1FRagCViKPkkKpQzWloUptzS/y3BybBsnuX6bZ9cH2OKz6JNocl5nN1/mh9laZRGwNGkugxSXIttrUmlpgrYmP2ATthWHpJgc2ybyEWHBDj/bF2yiXWEJR6cozBMHQqLn5/9hADpswZeroaAcstNgSDeUUbdTgvYF4J+zYUM+dE6Hy0aiUuJ/0b5/S5srLeYXRIKNx7Rx0DFOuhoKIZofCQDVY+LEibzwwgt1pq9du5bu3bvvdf0RI0bwxRdfAOByucjIyOCwww7j4osv5owzzvjV29uYd955B2fNDRCQk5PD9ddfz/XXX79f21HVN0jffPMNQ4YMiU4PBAK0b9+eoqIi5syZw4gRI36NZv/mpk6dymuvvcbWrVtxuVwMHjyY++67j6OOOqqpmyaEEEK0WMEN+Wy9/AXYUhjJulGK0llOimt/wK/O0PE5HQzZsZOl7dsRcDnB1pTGefGELDzhcKP7URriA0HK47wxNYJcYYvu+QXkJidFA0BW9b4DLmc0mFN3g5HMIg0oIC4UpqJ6+aDDQcg0MKvbved6tqouTr3HdkOmEbu/6u2bYYua0IAN+G1YU25x+/cVVDkckQwkNBuqBzdTwM4ATFlchV39vKa9dY6BAAZg23ZMnYfbl/pA1Q2qRQNV1W2sWae9R2FUBdmmnEA7SGlHx6IS/nbu85x1Ug+4elT953Ev9OsL4M63Ib9898RO6egHx6PGDKg+TRpufg2mf4GqdU30Xz9Ajx+KenwC1BMwaiqFAZsrvqvg/e2haJFyBZzRwcU/j4gnxdV82iqEEPKK1ICxY8eSm5sb8+jSpZ404wZcdtll5Obmsm7dOt5++2369u3L+PHjufzyy3/DVteVlpZGYmLi3hfcBx07dmTGjBkx0959910SEhJ+8baDweAv3sb+6NmzJ0888QRLly7lq6++IicnhzFjxpCfn39A2yGEEEK0FqFNBWz9/WPR4I+lFBVuVzS4EKUU2jDILqug2OuhOD4On9OJbRpUeNyEHI1nTmgg6DDpXFJKt135dCguoUNJKTn5hZi2zfyunVmSnUleYgJVDgd+R+T7zsBetgugVeTDuwJMrSlKiKMszoOuOYR6gh41y9cEZDQQMM26waaa2kWmEQ1q1H4AeMNhTFvHbrfWT6N6+/UHfyJsAMOIjo5We5S0PSsd1ezD0DratU4DO/w22/b4nnhrajLnThzP6++thmc+r3Me9ka/Mh+u/nds8AdgaxFc8BT68+WR5ze+Cs/NjR5j9Bxo4NVv0Ff/e7/3/VupCmtGzSnjwx2hmHOrgfe2Bxkzt4yAJfWlRMulVet8HMwkANQAt9tNZmZmzMM0TUaMGMG1117LtddeS0pKCunp6fzlL3+pUzwwLi6OzMxMOnbsyJAhQ3jwwQd55plnePbZZ/nss8+iy23fvp1zzz2X1NRU0tPTOfXUU9m0aVN0/sSJEznttNP429/+RlZWFunp6VxzzTWEQqHoMk899RQ9evTA4/HQrl07zjrrrOi8ESNGRLN9RowYwebNm/m///s/lFIopaisrCQpKYm33norpv0ffPAB8fHxlJfvfpO+6KKLeO2116iq2p06/fzzz3PRRRfVOX9Lly7luOOOw+v1kp6ezuWXX05FRUWd43rggQdo3749PXv2BGD+/PkMHDgQj8fD4YcfznvvvYdSisWLFwNgWRaTJk2iS5cueL1eevXqxT/+8Y+Yfe/LOTv//PMZNWoUXbt2pV+/fvz973+nrKyMJUuW1DkWIYQQQuxdwQMfQTAc/cAeqA68NJQpUhDvZXl2JgCusEVuchIoRYXbWe/ytW1JTcYC0n1+2pdVYNiaT/r14rucDmxLTabU62FnUgJr2mVE968byv6psce8SNeuSKaNw9572dCa7CBLqcgHjAYyjWzDiIxutues6p9uy2pwX7rWcg21u/ay0WBRTVe3+tpN5ANBTbZ3ZL16zlX1ufi/c04h/OAHULXvX97pQAjueLuBmTqy09veRBeWw4wvGm0rb3wLuSX7vO/f0n82B1healFfjMfSsKjY4vUtgQPfMCGEaIB0AfsZXnjhBSZNmsS3337L999/z+WXX07nzp257LLLGl3voosu4oYbbuCdd95h1KhR+Hw+Ro4cybBhw5g3bx4Oh4N7772XsWPHsmTJElwuFwBz5swhKyuLOXPmsG7dOs4991wGDhzIZZddxvfff8/kyZN56aWXOProoykqKuLLL7+sd//vvPMOhx56KJdffnm0rfHx8YwfP54ZM2bEBI5qntfOHho8eDBdunTh7bff5sILL2Tr1q3MmzePJ598knvuuSe6nM/nY+zYsQwZMoTvvvuOXbt2cemll3Lttdfy73//O7rc7NmzSUpKYtasWWitKS8v55RTTmHcuHG88sorbN68uU5XNdu26dChA2+88QYZGRnMnz+fyy+/nKysLM4555zoco2dsz0Fg0H+9a9/kZyczKGHHtrg9QsEAgQCu9/Ey8rKAAiFQjHBJdE61FxTubYHF7nuBye57r+cVeyj4pu14I5k2Wgg4HE0GnCpdDix3AYohYFFyBu5LbUcJuVJHhL9wToBj0j2j4EHC1fYxnYYVLkczO3fDcMAl6r+JF77i7nqNnQpLWZHShJhZUVnuZSFUfNca1BEu2ehwKsslNZ42b1OfWqCJjY2AcPEsbuzVj0LawxT47Hr36bLtvb6DW306BrthqVjE5D2sj2twVaRHCPV0PIKypK9zOrSiVGfLYWxh+ylpdXbn70MqgLgaeSjx9YC+PtMlLvxjyca4MUvUFPG7dO+a/u1/9dfWV+BF6tOZlUNA3hlQyXndZB6QE2pKV7j5f1ENFcSAGrAhx9+GNO16cQTT+TNN98EIl2hHn30UZRS9OrVi6VLl/Loo4/uNQBkGAY9e/aMZvi89tprGIbBc889F/3WZcaMGaSkpDB37lzGjBkDQGpqKk888QSmadK7d29OOukkZs+ezWWXXcaWLVuIj4/n5JNPJjExkc6dOzNo0KB695+WloZpmiQmJpKZmRmdfumll3L00UezY8cO2rdvT0FBAR9++CGzZs2qs42LL76Y559/ngsvvJAZM2Ywbtw42rRpE7PMyy+/TFVVFS+++CLx8ZFifU888QSnnHIKDz74IO3atQMiwafnnnsuGuj65z//iVKKZ599Fo/HQ9++fdm+fXvMeXU6ndx1113R5126dGH+/Pm88cYbMQGgxs5ZjQ8//JDx48fj8/nIyspi1qxZZGRkNHj9HnjggZh91/j000+Ji6tnCFrRKtT3fyBaP7nuBye57r/QPUf87FXLgdQ9plU2svyey05m+z7uaSd+v5/x1c9uydqAx7MPRY3lbT5G8LpuzLS3wcxt+77SU6P3bbkjx+zbcjNn7vu+9/Br/a9fD7C3P5+KX9RU8Ss6kK/xPp/vgO1LiP0hAaAGjBw5kqeffjr6vCaQATBkyJBowAZg6NChPPLII1iWhbnnaBR70FpH1/3hhx9Yt25dnRo9fr+f9evXR5/369cvZrtZWVksXboUgNGjR9O5c2e6du3K2LFjGTt2LKeffvp+BSSOPPJI+vXrx4svvsgtt9zCSy+9RKdOnRg+fHidZS+88EJuueUWNmzYwL///W8ee+yxOsusXLmSQw89NOacHXPMMdi2zerVq6MBoAEDBkSDPwCrV6/mkEMOibkRO/LII+ts/5///CfPPfccmzdvpqqqimAwyMCBA2OWaeyc1Rg5ciSLFy+moKCAZ599lnPOOYdvv/2Wtm3b1nuebr31VqZMmRJ9XlZWRseOHRkzZgxJSUn1riNarlAoxKxZsxg9enRMIXXRusl1PzjJdf/lwjtL2XbitOhzDZR7XI1mqJR4PPidZnQZSymK4+OwFbjCdrQQtFFdCHhDehobM9II19Ty0Zr0Sh8r26ZTlJiA07KJq64pWLPXmswMG3jp+de45cxxfJ3dIdqGv+Z2JexKRGnNsas3sLZtBnkpkff07SmJBKu7sbmDYRy23WjXLMswQEXq/zTYBay63ZGRyupmAEW2o/C76v87rJNp0lgGkK7bba2x9muIdE3TjWQAVXv9Xy8z5rZRMKx3I0vV2v6sZXDZ9L0veMnwSPHnxrYFcPPJqKtH7dO+a/u1/9fHzi3jh6JwpO5SPQwFR2c4+O8wuU9sSk3xGl/TU6Cl0yj23gG2ZWltx7O/JADUgPj4+H0a8Wt/WJbF2rVrOeKIyDdktm0zePBgXn755TrL1s6q2fOFSimFbUfeahITE/nxxx+ZO3cun376KXfccQdTp07lu+++IyUlZZ/bdumll/LEE09wyy23MGPGDC6++OKYIFeN9PR0Tj75ZCZNmoTf7+fEE0+MqRMEsUGuPdWeXjtA1NB6e9ZWeuONN/i///s/HnnkEYYOHUpiYiIPP/ww3377bcxyjZ2z2vvv3r073bt3Z8iQIfTo0YPp06dz66231tt2t9uN2+2uM93pdMoHhlZMru/BSa77wUmu+8/n7JCBt2cWgaXborfWLjtM2DQaDFK47SABrycaafCEw+CKFCN2BsMo244WTl7avh1b0lIi24rGTRQ7PfEkVQTJ90JcIEwIo95bew183KsX//jPB/x92CD+XD09qE28lUEu/HYxV32xgAsmjSeQbFLqcVNquqlpnN9hEr9HcKk2G7BVJDAV1oqQMhpYMjLZHQ7jr38ulaYDC7PB44jpFqdpOAikiJxDdi/T2MeesKoJ+zQSANKajAofY3btwnlsPzD3rZyoHjUAvG4obiCvy1DQvR1cfyI8NRt0I8EqpVAXDYdf8L/6a/2vX9gtnnlFjeSqabiwa4K8rjQTB/I1Xq65aK6kCPTPsGDBgjrPe/TosdfsnxdeeIHi4mLOPPNMAA477DDWrl1L27Zto4GImkdycvI+t8fhcDBq1CgeeughlixZwqZNm/j88/pHZ3C5XFhW3W+cLrzwQrZs2cJjjz3G8uXL6y3sXOOSSy5h7ty5TJgwod5j7tu3L4sXL6aycvcb4tdffx3tAteQ3r17s2TJkpg6O99//33MMl9++SVHH300V199NYMGDaJ79+4x2VK/hNY6Zt9CCCGE2HfpN46N1Amufh4dyn3PEauqp7Utr8Rh29H5YYdJZnEpg7bmkubzRYMWZR43W9JTGyyqbGpNii8yQEVDQQOlNR8N6I3DsvjjnG+i06e/8BZfPfwMk+fMx7Rt8pISqKwe9r32/rSh8LmcWHu2QWsM244eswaMmoLRDRy3sjVmrXVq1gMIGYqQacZM2/P3+rZZ77TaGUC1RiirsyjEZLBEgj+67nari0k//M5MnH87f5+DPwDK5YB7z25gZnUr7z8HlZ4IV42qt63R51cdDynxNAfndXZzeKqJWc8fnqlgSLqDszq66s4UQogmIgGgn2Hr1q1MmTKF1atX8+qrr/L4449z3XXXxSzj8/nIy8tj27ZtfPvtt9x8881ceeWVXHXVVYwcORKACy64gIyMDE499VS+/PJLNm7cyBdffMF1113Htm371qf6ww8/5LHHHmPx4sVs3ryZF198Edu26dWrV73L5+TkMG/ePLZv305BQUF0empqKmeccQY33ngjY8aMoUOHDvWuDzB27Fjy8/O5++67651/wQUX4PF4uOiii1i2bBlz5szhj3/8I3/4wx+i3b/qc/7552PbNpdffjkrV67kk08+4W9/+xuwO3Ooe/fufP/993zyySesWbOG22+/ne+++26v56m2yspKbrvtNhYsWMDmzZv58ccfufTSS9m2bRtnn93AzYkQQgghGuUd0o12T/0B5Y184DW0Jj4QjAwxXosGDG1jK+iaXxgZ9lxrsG365eXTNy8/JkV/W2pydISt+ijAZTXUCadmIUVRQjw+d+yH8Z47C3FZFmGl+LJ7DltSU7BMA4dl4wlWF3Gt3rdtGFS5nFQ6nWitSar04QmGIt25wmESfFXYRDJUjLAVs27N75ERtzQhw4gsy+7ARsAw8DmdkZHCas2r3Y0tmv1TXzCs1rDpikjQK/p7rcX3DCxpqkc7q17HoeCYdAdZjthz3ra8kn9/OosJNw6HMQMaONENU+OHwDOXQLs9vuTsnAGvXYsa2Tfy/J6z4Pqx4NjjY4rDQE85EdVQIKkJeEzFxyOSOKejKyYI5FBwQWcXM49NwlVfdEgIIZqIdAH7GSZMmEBVVRVHHnkkpmnyxz/+kcsvvzxmmWeffZZnn30Wl8tFeno6gwcP5vXXX+f000+PLhMXF8e8efO4+eabOeOMMygvLyc7O5vjjz9+n2vKpKSk8M477zB16lT8fj89evTg1VdfpV+/fvUuf/fdd3PFFVfQrVs3AoFATBerSZMm8corr3DJJZc0uk+lVKPFkuPi4vjkk0+47rrrOOKII4iLi+PMM8/k73//e6PbTUpK4oMPPuCqq65i4MCBDBgwgDvuuIPzzz8/WhfoyiuvZPHixZx77rkopTjvvPO4+uqr+d///tfotmszTZNVq1bxwgsvUFBQQHp6OkcccQRffvllg+dNCCGEEHsXf3xfunx/B5WzV1D82QpCvhAZR3cj+dCOBDcX4a8MUul1YXhceNPiKL/4OYZu2MyOlCQCpkm78kj2cHqlj3KPG5SiyulsPAMG6gSZGuKwLMJ7TAsrRdBhMu34Y0gIBNBKUe71EB8M4bBtfC5nNEDiDYVIr/CREAhGAjHBUKTekdvFrsQEsG2UYWAohWHZoCLb14BZE5BRilSvycAUF70TDQammASVgYVifYXF4jKbJKfB77OdzC8Ms77C5qhUk6MynGyqtNleZRNvQhjonWiS5VZ8U2RRELDpm2Qyrr2LBIfi/e1BNlZY9E02GZflIj9gs60qUseoOKgxFIQ15Po1CQ5o6450n+uTZNLWY2DZmi/yw2zbXEJmWTkjB3hwTjpnLyOPNU6ddST6tMHwzTooKIfsVDiia0wJAKUU3HE6+uaT0W8thPW7oGsbGD8U5Wh+o2kluwxeHJrIQwNtvi0Mo6ozf9p65Ht20fJpFXm0Jq3tePaX0nsWWRGNGjFiBAMHDmTatGlN3ZRf3csvv8x1113Hjh07YoozN6WXX36Ziy++mNLSUrxeb1M3J0ZZWRnJycmUlpZKEehWKBQKMXPmTMaNGyf9uA8ict0PTnLdm45VGaBs5AN4N+VT5XQQFwxhALlJCXyX0xFFpP7P1rQUdCOBh4BhUJTYSLeg6uDL8avWceqC7+i+9XEACjMvZ2Pb9sw7+1jSj+nOOttgbWGIsrIgO0KaEtOJbSg8psHgNg4ePjaDNI+Dl5aX8MyySoqCGrwOTs6JY0R7N5ZWDE530i3R3GP3DddHFAeO/K8fnJriurf0zwk17e/68I+Y3oS9r9CCWFUVbLjxsBZ7bX4pyQAS+Hw+Nm7cyAMPPMAVV1zRpMGfF198ka5du5Kdnc1PP/3EzTffzDnnnNPsgj9CCCGE+OXMeDcpC+7Ad/3LGG99F61NUOl2YQMmkFVSFqkB1CCNNxQiLhDE73RERrKKmV3dNcq2eWtgP/4ztD9MiQSAlky/huEnDmDwfgZnLh+YxuUD0/Z5eQn+CCGEaA4kN1Hw0EMPMXDgQNq1a9fgCFgHSl5eHhdeeCF9+vTh//7v/zj77LP517/+1aRtEkIIIcRvRxkGcQ+PpyjOGy1GbCvF6nYZLM1qi1aQUV5Rf7FjaurzKJL8fpKqImNrmbaNYdsoOzLkemqlj+zCEh47OpkvL989IMXAozthSHBGCCHEQUIygPbT3Llzm7oJv7qpU6cyderUpm4GADfddBM33XRTUzdDCCGEEAeQcjup6JONsWAVAMVeD6XxcQCs83rQgCtsEXSYkRo01SNSRddXCqU1nYuKufqLBXzbpSNBh4OORSWkVfh4Z3B/7rl3JG3T42JGKRVCCCEOJhIAEkIIIYQQTa7H4+dTMuw+kv0B1rZrExPkUUBCMIgdUoRMAxuF0jY+j3v3eGFKkZ+USE5hMYdv2Y6lFCVeDw+PHsZdtx1D2/S4pjo0IYRosWqPyihaPgkACSGEEEKIJufJyWBVdgbm1l2UxHnqHW3K0Bp39RDrNlBVz3ZKvR4SAgG+6dqZj/r14sLrhpLdrnUVMRVCCCF+DgkACSGEEEKIZiHlipHMn7EAv8OBsjXaqP+bZw0Njgo2Y8hhBJwOnEpxx33H0zZNBpIQQgghQIpACyGEEEKIZqLzhCH4XC62pKc2GPypEXDsMdQ6YFoWSikSgiFu/PNwCf4IIYQQtUgGkBBCCCGEaBaUadDp+F44N/kJGQqHXbf6hCYySljQ6YiZBhAwTdIrKjn9sHSyOiQdqGYLIUSrpFXk0Zq0tuPZX5IBJIQQQgghmo2B1wyje34hFR4PQdNkz8HfQ6ZBmccd0wVMA5ZSrM5sh9uy6D75+APaZiGEEKIlkAwgIYQQQgjRbHiSPPQe0pG1G3xUejwEQmHSK33kJ8UTNE3CDgdojaEj2UEa0FoTHwzRK28Xh54/GNPjbOrDEEIIIZodyQASQgghhBDNyqg/HUdmSRn9tufhsiwSg0HallVimWZkeHgi3cCs6iygLkUlBB0O2ic5GXla36ZsuhBCCNFsSQaQEEIIIYRoVgxD0bt3OqvXFNOmopIKt4skf4B+O3ZSFO+l0u0GID4QIK2yCqU1Cabmzj//DtXA6GBCCCH2j1aqwREXW6rWdjz7SzKAhBBCCCFEs/P7W49H2TZOy8LvdBAyDAytaVPhI6ewmJzCYjIqfJha43c7eXDqsbjd8t2mEEII0RAJAAkhhBBCiGbH6XYy6bLDcIfDtCmPZAGVu13YtZYJK0WF180V94wmLtHdZG0VQgghWgL5mkQIIYQQQjRLbY/vw5UZCXx5/6esKQlS6XYSME0sw8AyDfof1ZExp/cjvV1CUzdVCCGE+P/27jw+qur+//jr3tmzhywkkLBXBVFUqFsF3AC1tdJSLVa0KPjVKrZo1VrUarXVVq1a26r9VQWt+65t0YqtqKgUXABllTVAAiEhe2a/9/dHkoEhYQkEJpm8n4/HPEjunHvu584hMPnMOZ/T6SkBJCIiIiKdVsqwYsa9MIUxDUGsugB2updAxMaX4sLpciQ6PBERkS5DCSARERER6fTMVA9matMyL23yLiJy8NnNj2SSbPfTXqoBJCIiIiIiIiKS5JQAEhERERERERFJckoAiYiIiIiIiIgkOdUAEhEREREREZE4tmFgG0aiw+hQyXY/7aUZQCIiIiIiIiIiSU4JIBERERERERGRJKclYCIiIiLS5dSFbV4oCfCXNUFW1tlELMjywKQ+bm443Euhz5HoEEVERDoVJYBEREREpMuwbZvblwW4c1kAe5fntgXhga9DPPB1iHMLHPzxuFT6pyoRJCKyP+zmRzJJtvtpLy0BExEREZEu4+wP67ijjeTPrv6xJcqQ2bWsqI0ekrhEREQ6OyWARERERKTTi9o2h8+u4t9b9z2hEwDO/qDu4AUlIiLShSgBJCIiIiKdmm3bDHu7mlUN7T93vd/m3bJAxwclIiLSxSgBJCIiIiKd2oflIZbW7//5Z8/zE4h298oPIiLS3SkBJCIiIiKdVk3Y5px5jQfURwS47csD60NEpLuxDSMpH92ZEkAiIiIi0ikFozbHzamhwTrwvu75OnTgnYiIiHRhSgCJiIiISKf0u+V+1jZ03NKtmetUC0hERLovJYBEREREpNOxbZu7VgQ7tM9fLPZ3aH8iIiJdiTPRAYiIiIiI7Ord8gihDq7bvC0M88q1FExEZF8kY82cZLuf9tIMIBERERHpdG7/6uAUbf7uR/uxl7yIiEgSUAJIRERERDqNMn+U0f+t4ePtHVD5uQ0dPatIRESkq9ASMBERERHpFO5Z7ucXXyW+ULNt26x4diG1T36Et6IOdyiMOxolmpWK65yj6XPDWTi8rkSHKSIi0i5KAImIiIhIQn2+PcQp7zXgPziTftpl/h3/IvTPJfSrrCINsIGWihGRbbW4Zn3I+r9/zKo+PTGzUhjoBndeGnWGg8b8TJwZPpwpbnKH9qJgRB8Ms3vXmxCRrstufiSTZLuf9lICSEREREQOubX1Ue5Y2sgrmyLUJyjxs3JTDd/YEsRf3cjWhSWse3MJ2XUNHFZZFdeuzuuhMjWFqGHgDYdJCwQpLq1ge7WPL7IyYFsIbBuMbU1/AhgGDhOO6J3K9nVVbHG4sA2DlAw3RUMKyBnai/yzhmBU1BP473LsUATXkF54Rx1ONBzFMAwcHr1VFxGRjqP/VQRomup8xRVX8PLLL1NVVcUXX3zBMccc064+DMPgtddeY/z48W0+v379evr3779ffe+PU089lWOOOYYHH3wQgH79+jF9+nSmT59+0K8tIiIiTe8vVtZZNERtBqaapLsMltdEuerzRj6sjCY6PE79LMqITZs4d8lyiqprcVk2fapqY7N+IqbBip551Pm8OxI7ADvvIrNTwifuayAatVlaUg8OF9jQp6qanuvqcC5aDcDWGU1XqvK62ZSdhTeykLz6RtyRKEGXg23paWz3eclu9PON8krq032EjupLxvkjKO6bSfTON7G+3kLU68Z/9jCM4weSnpOKq28PrPI68DixnA6qy+sxsMn8YDnGO19hRaIYJw7EOONIrKpGjKoGXAUZmIcVwuBeYNlY7y3D/nor9M7GcdbRGO6mXxvshiBsqYEML0ZexsEdIBER6VBKAAkAb7/9NrNmzWLu3LkMGDCA3NzcDr9GcXExZWVlB6XvfbFw4UJSU1MTcm0REZHu5ukNQX69LMDq5uk9DgPcBp1imVeMYVDv9ZBf18CwTWUALC4q4MteBZy8ZgO2aVDn9cTa7q6PNr/e5XtnNEKP+gactg22jTsSxWFFqfN4CLpc9NteTUYwFEs+pYTD9GgMUOP1sKIgj696FzCkrJz0j1fgmvsl4WDTdvZRh0nA6WTDm1+y8cMSTNumoKaO3tW1mIAzGiXNH8SkaelDy8tvrygj+PQnNHjcYBiYlkVaIEhKto9IXRA7GIkltcIuB87LRmHW+rFfWgChSFMnJw7C/MV3MEcefgCDICIih4oSQALAmjVrKCws5OSTT27z+VAohNvtPqBrOBwOCgoKDqiPA5GXl5ewa4uIiHQn960McMMSPzunQ6I2+DtZ8YWb3nqPyxasIGoaOK2m4L65fhMnrN/EmpxsyjPTO+xaEYeDJb0LGLGhlCy/n4Dbhd/txgkU1tY3NTKM2GvW8mdGIEi/iirW5vXg6/wcjtpURmokQm2Kj6ijeUNf26ZfxXb6VlTx8aC+bMrOpMHj5vCtFWDbcdv+7jwmnkgUCNHg9WAZBrUpPqzqIKmhEFHTbKqVYRgQjhL563uYgMPaKYO3YA3WhD/CE5djfufYDnutRETk4NA28MLkyZO55pprKCkpwTAM+vXrx6mnnsq0adO47rrryM3NZcyYMfvUV1lZGWeffTY+n4/+/fvz0ksvxZ5bv349hmGwaNGi2LGlS5fy7W9/m4yMDNLT0xk5ciRr1qzhgw8+wOVysWXLlrj+f/7znzNq1KjY9x999BGjR48mJSWF7Oxsxo0bR1VV/Lr9Fv369YstBwOorq7m//7v/+jZsyder5ehQ4fyz3/+c5/uU0RERNpW6re46Us/0PmLbZ7/xVIMiCV/YMeb44GVVaQHgh13McPAMk0qU7zU+byEHY4dM4QMY7czjAwgr74Bp2VRk+LDHY02JX/M+JlHIaeTiMPkqI1lYBhUpaawPdVHSvNsnbZ6N2hKApmWFbt+vddN1DCaEj27LGmz2DGDqOlA02wm66d/x/aH9veVEZFOyjaMpHx0Z0oACX/84x+54447KCoqoqysjIULFwLw5JNP4nQ6+eijj/jrX/+6T33deuutTJgwgcWLFzNp0iQuvPBCli9f3mbbzZs3M2rUKLxeL//973/57LPPuOyyy4hEIowaNYoBAwbw97//PdY+Eonw9NNPc+mllwKwaNEizjjjDI488kg++eQT5s2bx7nnnks0uveaApZlcfbZZ/Pxxx/z9NNPs2zZMn73u9/hcDj26T5FRESkbU9tCMWVy+nM9hSmBRTU1HXsBQ2Dxr0tKWuDSdNMoMyGRvwtM7LbWG5mGwaZgSDuSARsmy3pabgsq83kz87ckfj3TkGXs/U5zUmqVq+ZDdT6sf/xxT7fj4iIJIaWgAmZmZmkp6e3WqI1aNAg7rnnnnb1df755zN16lQA7rzzTubMmcOf/vQnHn744VZt//KXv5CZmcnzzz+Py+UC4LDDDos9P2XKFGbOnMkNN9wAwL/+9S8aGxu54IILALjnnnsYMWJEXN9HHnnkPsX57rvvsmDBApYvXx675oABA/Z4TjAYJBjc8UlgbW0tAOFwmHA4vE/Xla6jZUw1tt2Lxr170rh3rPW1QVKNCJFOmgSyiRBo+drtIGru/sOfVDsMrg78tNi28ae6iTa0/y247TIprKsl6nHsMXnU6HGQFQpSnplGwOEm4t3zh1s2YLlMom5HLMag6cJtWk3LwHYpeG3YBtauGT6XA2PdFhyd/GdIP+vdUyLGXX/HpLNSAkh2a8SIEe0+56STTmr1/c5Lvna2aNEiRo4cGUv+7Gry5MnccsstzJ8/nxNPPJEnnniCCy64IFbIedGiRZx//vntjrHl3KKioriE097cfffd/PrXv251/J133iElJWW/4pDOb86cOYkOQRJA4949adw7xtnA2W3/194pBKwAE5u/XnrzcLxe7x7bH1gFxNYagUV8Y7/OXduOti1x/5d++3Wt/TJ79qG71gHQz3r3dCjHvbGx8ZBdS6Q9lACS3eqoHbOM3XxK5fP59nhefn4+5557LjNnzmTAgAHMnj2buXPn7vP5e7I/5/7yl7/kuuuui31fW1tLcXExY8eOJSND26Amm3A4zJw5cxgzZsxuk5SSfDTu3ZPGvWMtro4wam59osPYLTvUEPt68G8/IzPS9gwZC9iWnsqGnOymWjgdUTfCtulTVUNB7b6/PjZQleJldV4Og8or6NEY2GssS3rlE3C5KKqq4RvbKnFHom0uA2uZx1Od4oub6dOjvgGH1TQDaNct703Lal1DwgDHezdj9E3MTq/7Sj/r3VMixr1lpUBXZ9P5a7m1V7LdT3spASQdav78+VxyySVx3x97bNu7Qhx99NE8+eSThMPh3f5jPHXqVCZOnEhRUREDBw7kW9/6Vtz5//nPf9qclbM3Rx99NJs2bWLVqlX7PAvI4/Hg8XhaHXe5XHoTkcQ0vt2Txr170rh3jBF5LsYURvlnWZjOtOP7Djve/pphCyPUuiimTdOx8rwUCFl4IhGCTmebiRfDsvGEwwTcrj0nZpqXTfWsqMGxh99AWraBb2nidzlZn56Jxx8hozYQvwtXG9eImCYBnLgCUQoq6whZJr5ACIP4QtAt16n3uDFDVux8bziCzx8mYpoYhhXXN7aNa9flX6aBMeGbOAYV7j6uTkY/693ToRx3/f2SzkpFoKVDvfTSSzzxxBOsWrWK2267jQULFjBt2rQ2206bNo3a2lomTpzIp59+ytdff83f//53Vq5cGWszbtw4MjMz+c1vfhMr/tzil7/8JQsXLuSqq65iyZIlrFixgkceeYSKioq9xjl69GhGjRrFhAkTmDNnDuvWreOtt97i7bffPrAXQERERHjuxFQuKHZh0PRm09lJN11ZndcDa5fCxi2feK/Kz8XvcmHYMKSsnOPXbyJ1513BbJuMRj9DS8s4dvMWiqtq9nyx5uRQ1Njz2++waRIxDAJOBxuzM1md24PeNXUcvakUTzQaS8S00nxsZc9cfOEwR5ZuwRWNYpkmfpcT07Li7tMyDOq8boJOR6xPXyhMRjBIpOU12elaRv88nG5HU9bI5YDmLeiN74/AfGDSnu9dREQ6Bc0Akg7161//mueff56rrrqKgoICnnnmGYYMGdJm25ycHP773/9yww03MHr0aBwOB8ccc0zcLB/TNJk8eTJ33XVX3MwiaCoY/c477zBjxgyOP/54fD4fJ5xwAhdeeOE+xfrKK69w/fXXc+GFF9LQ0MCgQYP43e9+t/83LyIiIgCkOA2eOzGN3w6N8nppmMaIzdBMB728Bs9tDPG3tSEa9r5p50G3NT2NeQOzKKypo6CuHsO2qfV62JqeRsjlxLRtDttagScSpdbrocGzU0Ugw6A2xceXKT7MaJTc2noKqmvZmpkev8TAMOK2U/+qV08Gb9lGyi5FYm0gYpo4mpdY+QJBCmvqm7Z/T08hlOrFcBjYgRAEIvE30rwDWM3QPhx2VBFZJVuxCWDW+nFl+gj0zWXb6CFkH9cX861FBL/ajF1Vj3t7A65AGKfDxNO3B85zj8OY9C3sijoiD72DvaYcIy8dx9Vn4BhShF3rx371U+y15RgZPozxwzEG9TwIIyMiIgeDYdtdZaNO6a4uv/xytm7dyptvvpnoUOLU1taSmZlJTU2NagAloXA4zOzZsznnnHM0jbcb0bh3Txr3Q8+ybeZsjXD3Cj/ztkU5pLkgfz38uA8AK5avJ3VbmMplW7DCUeo/L6Fh1VYMbDL8QfLq6vFGLap8Xr7umdtUEwfiZ+AYBqmBAI1ud1MdnV0SPgBEo2T7A/Ssa8AXClOX4iHNtnClevAO6YVnWDH2iYNIGZiHt0dTDUa7IYi9tQYjzYuR3/p9RuDjlTQ8PBccBr5Tj8B38bcwnHve8au7089695SIce/qvye0xN/zoa8wfemJDqdDWf46tv50aJcdmwOlGUDSadXU1LBw4UKeeeYZ3njjjUSHIyIiIh3ENAzGFbgYV+DCtm1e3hTigvmHaNecner09CzIJOuILIpGDood2/ZZCatmvIqjwc+29DS2p/ho9Lh3nLdT8sdhWaT7/aSEo+TXNdCY6qUiLZWoZWA4DDxZKfQ/6wh8mT4aN2zHm5dGz1HfYFBx9t7DTPVgDMjf7fPekw/He/Lh+/ECiIhId6UEkOyTZ555hiuuuKLN5/r27cvSpUs7/JrnnXceCxYs4IorrmDMmDEd3r+IiIgknmEYnF/sYVmmg9Hv1bEtlNh48ob3Ifftn7FtyWYqPiuBD1eTtqUWKxwhw22Q0yeb1CGFZI4/DnefnMQGKyIi0g5KAMk++e53v8sJJ5zQ5nMHayrlzlu+i4iISHIbnOGk/Lxs5leEGP9xA1uDez/nYDEMg/xhReQPK4LLTk5cICIiIh1ICSDZJ+le0WfCAAAxLElEQVTp6aSnJ9f6TxEREel8Tsx1s+W7bq7+rJ6H14b3fkI7OeDQ1hwSERHpJLQNvIiIiIh0OrcPTeFgzDGeUKTPP0VE9oVtJOejO1MCSEREREQ6nTyPyb3DvB3e711HpXR4nyIiIl2BEkAiIiIi0il9p5e7Q/s7v7eTAp+2ShcRke5JCSARERER6ZQGpjko8HRMXybwwklpHdOZiIhIF6QEkIiIiIh0Wn8bkdoh/bw70odhdPPiDyIi7WBjJOWjO1MCSEREREQ6re/0cnP3UQdWC8gNnFbQ8fWEREREuhIlgERERESkU7vpCB9/G+7b7/N/dlgHrSMTERHpwpQAEhEREZFOb+oAL0X7MYnHAH49VLN/RERElAASERERkS5hzTmZONt5zvwz0vE59JZXRKS9bCM5H92Z/jcUERERkS7B7TBZ9+0M9nUn96/HpXN8j/amjERERJKTEkAiIiIi0mUUpTjY/J1MRmTt/m1sugnV4zMZlKHkj4iISAv9rygiIiIiXUq222TBmRn8b3uUP6wMMGdrmLANfX0Gr52SyuHprkSHKCIi0ukoASQiIiIiXY5hGJyY4+Slk9MSHYqIiEiXoASQiIiIiIiIiMSxMbBJrqrJyXY/7aUaQCIiIiIiIiIiSU4JIBERERERERGRJKcEkIiIiIiIiIhIklMNIBERERERERGJYxtNj2SSbPfTXkoAiYiIiEiXVfFlKWUL1uN0OSgaNYj0fjmJDklERKRTUgJIRERERLqcbV9vY/71r2LX+Gl0Oan1ejFe+pKCPB9j7xuPp0dqokMUERHpVFQDSERERES6lKrNNcy74lkaGiPUe9xkBoL0215NejDI/ywPN9/0Lps31iQ6TBERkU5FM4BEREREpEt554bXqU5Pxe92YxkG1SleetY2UFBTR++aOlbl53Dz/Qu468YT6VWYnuhwRUS6JNswsI3kKpqTbPfTXpoBJCIiIiJdxvJ3VrA5bFLv8RA1TWzDwO9ysT4ni9X5OVjAN8orOXzLNu64dz6RqJXokEVERDoFJYBEREREpEuoXr2Nf/9tQdMuLjt/imsYYBjU+LxsyUjHBo4q3Yrfhlt/Oy9R4YqIiHQqWgImIiIiIl3Ch3e9Q7Q52bM763OzeXH4UZg2OKwoG2vC/OODTZw7qugQRioiItL5aAaQiIiIiHR6tYs2UrN5L4WdDQOnZeG0LKIOk5DTSaPbzQfPfo5t24cmUBERkU5KCSARERERSTjbsqnZWMX2NRUEq/1EKuuJBMIABDdtp+rCR0gPhvatr5YZQs1/rs3KZtlbyw9K3CIiycxOskd3pyVgIiIiIpIwtm3z8VOf8uHc9dTiaKrvA5iWRVooTI/6BvpU1TDMH6RPZRWre+a21QlpwRBZjX6clkV2g5+v83NYnZdL1GFiY/Pe7K858pwhh/bmREREOhElgEREREQkYZ6/412WlNSD4cAVtcivqyclFCSvrhFPJBKbzfNVUSFpjX68oRABl2tHHSDbpqiqhoxgCBswAG+4joLaOo7evIV/HnUEfpeL+Z50rt7DMjDbtplfFuT1VXXUBKLkZ7oY1S+NIzKdFKU4Dv4LISIicpApASQiIiIiCfHWzIUsLqmn3uWif2UVR5duwWxO0hiABQScDtxRC28oTHowzElrS6hK8eELR7CAytQUXDudAztqHGT4A5yxYg3/POoIgi4nX329nQG9vXExhCIWK7Y2ctlbW6mIGJiWhYGNZZg8vMJPndfDSblOHvpmOkdn6a2ziIh0XfpfTEREREQOubef+JT5c9dRkZXJoPIKjt1c1qqNAfjCERpcTvL9AUIOk4jTSUowxPq8HEqysxhStpXd7QlmAoW1dfRo8FPvcfHGayu4dtoxsednvPA1KypMbNvG8Ljxej3YhoEB2ETJaWgky+9ngZXBiLerueMIFzcdk3kQXg0Rkc7H3suui12RnWT3014qAi0iIiIih9TqD9aw7K3lhB0O/C4nwzeWtmpjAxHTJORw4LKhLDuTbZnpNLqcLCruxar8XBxWFOdedveygV7VNTgsi7KS6rjdwFaWNWLbNrZhkBYKk1ffgMOygKbkkwE4LJuC2jps2+bOr/wYL27H89w2jnl5C6trwh33ooiIiBxkmgEkIiIiIodMtDHInPvnkhmJMn9AH44t2YRjlySODYQdjqYdW3b6tNY2DPxuN6mhlsTL3j/JtQFfOMxpq9Zx2NZt/L+JJTuebP50u6UXh2WT09DItrTU2HUNwB218EUi+N1usG1CDgeLLQeHv1VDj0iI7xd5uHlEBm+XW/x9fZCKkM3AVJP/G+jhO4UuzG7+ibOIiHQOSgCJiIiIyCER3lbH/yb8lXBODmnhILZtk9PgjxVvbhE1jFbJnxYGkNfQSHlGGn63i6hhtEog7cwEJi5cTGYgiG0YvDB04G7bGoDTsvFEIgRdrthxG/CGmxJATssiaprYponDtolGbN5aUcO/l1cTNh2YlkV6MMgyp5OpKz1EPS5uOyaVa4amYygRJCIiCaQEkIiIiIgcNOUL1lNx379xf11GBQ6WFhcSdThYU5DHkVu3UZ6RRlooRM/a+lgSKGruuUqBDeTVNVCZmkKdx01mINjmXCCLpsRNRiCICUSMpt3E9ta3NxQhYppYphmrF+GwLMzmLeadlkXENHBZNjZgmyYRmgtXO0xW9cwj6nRAc2LqZyui3LCiituG+phUaLKxKsjzG0KUhaBnqpNrj05jULrelotI57LnBbZdUzLeU3vofxoRERER2a1o1CIasXC5Ha1msETDUVbMXUPtllpSs3ywbDMbPllPIBAhPRohp6ae4q2V5ND0pnt1cSFl2ZkYO83YiZhNCZPKlBQ8kQh+twvDgpzGRrIb/W0mdgyguLKKgdsq2Zaa0tRf86whgx1v8BvdLrLrGlhemM/iokK+6F2wxwKgNk1JI080iqd5ZlLA6aTB25RkyggEiRgGYacTl7Ujlp3/BMhtaGRreioAqaEwpm3T6HZxy5d+/vhRHRXpaViG2RRrtcXDm2txRaNEnA76phj87Bs+rhzoweto6nVFbZS1DRY5boNv9nBgGga2bROyoD5ik+kyqI/YrK638DkMBmeYHbrsLNo8Xg7NYBIR6dKUAOqmysvLufXWW3nrrbfYunUr2dnZDBs2jNtvv52TTjqJfv36sWHDBp577jkmTpwYd+6RRx7JsmXLmDlzJpMnTwaItQfwer307duXKVOmcP311+91uvNnn33GiBEj+PDDDznllFNaPT9u3Dg8Hg9vvvnmXuPe2ccff8zIkSMZM2YMb7/9dtxzlZWVXHTRRSxZsoTKykry8/M577zzuOuuu8jIyGjvyykiIpJ0Nq/bzof/XMmKz0uxLZu0TC/HnzGQk876Bi63g3lPLOCrt1ZgW3ZspktTTR0XpLipsG3WpmewOisTdySKBSwtbpp9Y+9S1wegIj1tRz9AZXoqKcEQg7eU47SsuATL5sx0FvQvpsHjaUr+2DBwWyXHbtyMaQO2TcDlpGddA4UNjQD0rqnjm+s28rPvndnm/Vq0/mTYALyRCO6GKFWpPizTxGnbOMJhAi5Xm8kkA3BFo/TdXk1hTR2eaLSpfwO2paSwqUcmOfUNuKJWU00jl5N6j5uwaeKIWqxvMLl2sZ+bv/QzPNvBJ9ujRHYKLMWEsN30aOFsjr85J0X/VJNbB3u5tL+nzXvdF7Zt88rmMPevCjC/sukevpXr4PrDvJzX273f/YqISOIoAdRNTZgwgXA4zJNPPsmAAQPYunUr//nPf9i+fXusTXFxMTNnzoxLAM2fP58tW7aQmpraqs877riDyy+/nEAgwLvvvstPfvITMjIyuOKKK/YYy/Dhwxk2bBgzZ85slQDauHEj7777Lq+++uo+x93iiSee4JprruGxxx6jpKSEPn36xJ4zTZPzzjuP3/zmN+Tl5bF69Wquvvpqtm/fzrPPPrtvL6KIiEiSWrW4jOf++DHYNCV4gPqaAO+9tpQVX5TSJ8XBuvnrd5ywcyKk+euW5Mj2tFSCDpMGT1MB5ba3FDZa9eOMRkkNBqn1ejABw7JxRyN8nZvDl8U7lnE1bVMMq3vmsjo/h2NLSjmydAvf2FaJqzn50uK9wYOo9bZOitjslPzZJT4DMG2b1ECIuhRvLBHlikSo83pp8LiJmCambZMSCuMLh8lpaCTbH4hLKBl201KxrEBoR80j2yY1FCY1FKYiNYWow8RhWVimSWMUPqyItIqn0aKVyC7fr2uwuOzTRkoDFjcP9rU+YR/88ks/v18ZxGHseG0+qYgyvqKB24ZEuf3I/etXREQSRwmgbqi6upp58+Yxd+5cRo8eDUDfvn05/vjj49pddNFFPPDAA2zcuJHi4mKgKaly0UUX8dRTT7XqNz09nYKCAgCmTp3KI488wjvvvLPXBBDAlClTmDFjBg899FBccmnWrFnk5eXx7W9/e5/jBmhoaODFF19k4cKFbNmyhVmzZvGrX/0q9nx2djY/+clPYt/37duXq666invvvXevsYqIiCSzUDDCy4/8D8uyW02JsW0oW19FdSBE+j7217KLVl3zjltx/cV9teM5dyRCn+3VmLYdO2qbBgHTRQ+/H3ckQminIs07LmawuLiQw7ZswxW1cOwS/7LCfGo9O2avXPn+x6SHnLx7xCAW9C/eTXJqx0yg+uYt4w3AadtUpqVgtdyXbRNwu3CHI/Suqo6d16K2OVm06/GWJWs5DY1syUjDpKneUHSn+kP769avAkzq46ZvqqNd571XHub3K4MARHd6DVvSab9eFuCsAhcn5uhXCRGRrmTPFfYkKaWlpZGWlsbrr79OMBjcbbuePXsybtw4nnzySQAaGxt54YUXuOyyy/bYv23bzJ07l+XLl+Nq681ZGy666CLC4TAvvfRSXD+zZs3ixz/+MU6nc5/jBnjhhRc4/PDDOfzww5k0aRIzZ87E3sMOIaWlpbz66quxxJKIiEh3tfR/mwj6I7utlGnb4He72lVI02THjJfWDOJSIrZNr5rauOTPzi1TQmGGlJXv9lqGbTO4fFubO4M5LJvBO53bu7qewtp60gNBHNae78gAzJ3aNO0YZu1IGjX/GXI6+LJ3IQHnjqSLDVSnePfYtwH4wjvm8jgsazev174zDZi5PtTu8/68OohzD7knpwF/WR04gMhEpCuwDSMpH92Z0vbdkNPpZNasWVx++eU8+uijHHfccYwePZqJEydy9NFHx7W97LLL+PnPf87NN9/Myy+/zMCBAznmmGPa7PcXv/gFt9xyC6FQiHA4jNfr5ac//ek+xdSjRw/Gjx8fV1do7ty5rF27NpZwak/cjz/+OJMmTQLgrLPOor6+nv/85z+ceWb8uv8LL7yQN954A7/fz7nnnstjjz222xiDwWBc4qm2thaAcDhMOBzep/uUrqNlTDW23YvGvXvSuMcr27gdp8fAiu4p+WBguw3MdiQoXKZF2OGIz/W00c4biuAxLHC1/SbdBAob61llhwk5W7+VTYlEMFwm0dancnLJBvpt2sSc5u8tt4nlMEmzwzgdFo69fDTqNqNYxo6oPUaUVnNrDMBjUpWZQlF1LQ7bxjIMnE5w0sb6rWY2kBENUefa8QltxDawjf3/vNYBlNSFCIfb95b/q+1BXLbFbj/Gs2FJpUU4vP81hhJBP+vdUyLGXX/HpLMy7D1Ni5CkFggE+PDDD/nkk094++23WbBgAY899hiTJ0+mX79+TJ8+nWnTplFUVMQLL7zAbbfdxg9+8AOmTZtGVlYWDz74YFwR6EmTJjF58mS2bdvGzTffzOmnn84tt9yyz/HMmTOHsWPH8vXXXzNo0CAuvvhi1q1bx7x58/Y5boCVK1cydOhQNm3aRM+ePQGYNm1am/V9tmzZQnV1NStXrmTGjBmMHj2ahx9+uM34br/9dn7961+3Ov7ss8+SkpKyz/cpIiIiiRMIBGL1DZ9//nm83t3PzBER2R+NjY386Ec/oqampktuMFNbW0tmZiYZj67E8O3rgt+uwfbXUXvl4V12bA6UEkASM3XqVObMmcOGDRtiCaDp06dzww03sHDhQv73v/9RWlpKdnZ2mwmglvYAVVVVDBo0iBdeeKHVrJvdsW2b/v37M2nSJG688UYKCwv585//zKWXXrrPcQPceOON3HvvvTgcO029tm1cLhdlZWVkZ2e32c+8efMYOXIkpaWlFBYWtnq+rRlAxcXFVFRUdMt/PJJdOBxmzpw5jBkzZp+XMkrXp3HvnjTu8Tav3c6T93y4+wYGOCNRevj98cd3U+DZBsIOk6DThUXTEqmWmjlNz8cvocrw+8mva2hz+/ed/a9fEdWprT+AcVgWl81bSM82+mh0Oagjyilf/BaAD0+4ldRo0+yY50YM44s+vVotD2h5o1zr8zTNOGquA1SamUGjZze7Ydk2OQ1+CmpqyfY3LZXanJnedP4elh9U+rxEnI5YXSDLMLDMA6vYMGdUGsf3aN8MoNuX+nlodZDdTQJzADce4eWmI7pW8kw/691TIsa9traW3NzcLptkUAIoeWkJmMQMGTKE119/vdXxyy67jPvuu48f/vCHu02e7Co7O5trrrmG66+/ni+++GKvW8EDGIbBpZdeymOPPUZRURGmaXLBBRe0K+5IJMJTTz3FH/7wB8aOHRvXbsKECTzzzDNMmzatzX5acqG7qy/k8XjweFpPdXa5XHoTkcQ0vt2Txr170rg36XtYPkX9c9i4ZntsB7Bd5XocRGt3OWiDgR1LoLScGTUM/KYztlWVKxzBHY2S6Q8Qcjio9XkJORxEmxMd9aab/HD9HmMMOUy2u31Y0fjaQRgGgzeVsyUljfzt9Th22T7etAwcOy0OM0MWZqRpWdYFnyzGitgs6Fccv009UOf1EDSdsX3Wy9LTqfXsYRcsAwjVE7QdhKym+0ppCFGb6W1z3ZsNRE2DGqcntqTMBiJGrHpSuzkMGJPv5OR87z69D9vZFYc5eHBtlGCUVovWTCDVCVMHpeJydc1yovpZ754O5bgny98vu43i/V1dd68B1DX/1ZYDUllZyemnn87TTz/NkiVLWLduHS+99BL33HMP5513Xqv2gwcPpqKigpkzZ7brOldffTUrV67klVde2edzLr30UkpLS5kxYwYTJ06M2xFsX+L+5z//SVVVFVOmTGHo0KFxjx/84Ac8/vjjAMyePZuZM2fy1VdfsX79embPns1PfvITvvWtb9GvX7923aeIiEgyMQyDiT87mV59swAwTYOW3wEMA86edAwX//4ccvs3fSi08/bprkgETziMaVlYQNDhoNHt2vELhG3jsG2O3VjKcRvLyPYHMGybtGAIXziCadtETJM6j3u3RaZtYG1uj1YzYzyRCMeUbKZPVQ0hp5OvevckskubPRUAdVkWP1qwmEnzP4/NwIkaBiGHAxPwhiOkhMJkNgaaklW7m0Rv27giTW3d0Whsi/nUUJishsa416zluahhUJGSEntjHtuWvp2/p5jseHP/vV4uXj45rd3JH4A+KSazR6aR5mwufs2OQt6ZLoN/j0qn0KdfI0REuhrNAOqG0tLSOOGEE3jggQdYs2YN4XCY4uJiLr/8cmbMmNHmOTk5Oe2+Tl5eHhdffDG333473//+9zH3YQpznz59OPPMM3nnnXda7Ta2L3E//vjjnHnmmWRmZrbqe8KECdx11118/vnn+Hw+/va3v3HttdcSDAYpLi7m+9//PjfddFO771NERCTZpKZ7mPqr01m3rJylCzcRCkbILUznuJH9yejRNPPl/Pu+S/nXFXz+j2VsXrWN6NYashoaqfV6SQ+GyG1oZG1uDiHXjreb2Y1+vrG1gqxAEBvwu5w0ulxkRYN4IhG8kQg2EHC58ESieJoTKMZO26+XZGeyJq/5fUnzrJ/e26sZtnnLjnxJcyKp1uuhLCOdJcWF1HncfDSwL799/rXd3rfDtvmib1EsAWObJg7A0bI7V3NBZ7/L2RRTy4k7JbhM26ZXdS0YBpU+H4HmQtUhp4M6t5uq1BS8kQiuSBTbaHoNQs3FsY3m++kZDPCbIV7qs1J4rTRMmd8i32tydk8nRSkm/ywLs8lvEYxCcYrJkRkmfVJMtgZtfA6DcwtdfCO9fVu/72p0nouN38ni7xuCfLAtgmHAqXkuJvV1k7anLcJERKTTUg0gkf3Usja2u64fTXbhcJjZs2dzzjnnJM00Xtk7jXv3pHHvOA3bG1j94uc0bqvH7JVF3kkDIRRmxaz5pH68Cl84jNOyiTbPxFnaK59VPfPwhiNkBOKXYBu2jWHbOC2Lwpo6XNEoSwt7sqxXPtHmOn9pgSADt1XSu7o2frKMbZNb30hOQyNzDxvA5317A1CZ4iO7spzn/9I0c/ijY28mNeIkahg4bJvZRx7GW0cdsWNmjmnGJXegaRbRssJ86nxefKEQUcMk7HDgsC0yAkEyG/24LIs6V9PMJwOImAZhn5ejC7yMzHPidhp8uj3KJr9Npgv6eA3SHeCIWnyn0MXpfXyY3XyZwsGgn/XuKRHj3tV/T2iJP/2vq5KyBlDdFYd12bE5UJoBJCIiIiIdIrVHKsOuHNnq+IAHJ+BfX0HZ8wupe+tLwnVB/C4Xvapq+Do/j4DbRcjpwBuO4Ipa2AYEnE7CDpPe1bXU+DyU5GQTcLlwRi3q3W76V1Zx3MbS2KyZGNvGG46Q3dhIxDRZ2is/9lR+XQMDt5THvq9MSSEcNlmXk80Hh/VndX4u0JR8ctg27mgUyzBIbwzwdc9csv0BbCC3roE6nxe/240nFCa/rg5fONI8q8lFyLIwDYOQwyQj28dzozMZ0cO1X8uxREQSJRlniiTjPbWHEkBySFx55ZU8/fTTbT43adIkHn300UMckYiIiBxKvn65DLjpbLjpbJafeg/+gE1KKMyIDZtY2L8YyzTjdtUyrKbZP6esXs+KnrkEnE4ipkl1ig8Mg3V5OQSdToaXbMYTbSrsbFoWWY0BchqadgB7+bihBHf6xD9qGnzdc0dC6P6xI4k6d9Qb3HFxA4fVVP444HKypl8RebV1YBiYQL2vaVMIdyhMSjgMPjdBt5NoMIJtmtR73FheN1O+4eXeo1PwOJT4ERGRxFMCSA6JO+64g+uvv77N57rj1DsREZHurP8fL8R/8RMEXY6mBE4kwqf9igjslKzJr6tn9Kq1ZPkDHFW6lSx/gKW9erI2t0fsE9zS7ExKszMpqK7h6E1bKKypw+9ysjkrg38POZzalPhtyp1Ri1F1lTzT/P3uPgk2m5M/UcOgPCOd1EAQdyTaVEQayGgMkFdbT0G6i7d+3B+3s2lJ2oaGKJ9VRXGZMDLXSZZbhZJFRKTzUAJIDon8/Hzy8/P33lBERESSnndYMcW/OY+ym17GAI4q3cqQsnK2ZKYTcjjI8vvJbgzE2gedTlyWRdR0xApCx9g25RnpfDLIS/H2alJCYaKmgYkdKxLd4tzFyxj7yHim/r3pe8sgvk3z0i9smxqflxqPh1R/gJRwBJqTPzVeD/4UD387s5DT+qTF3VffVAd9Uw+s+LKIiMjBogSQiIiIiBxyed89hrJ/L8P692IMmnbg6l1d22bbFQV55DY0khEIYDUnawZuq+S8RUv55vpNLC4uZHlhz7jt1ftU1bAtLYXFRYVYhkFebT2HG2EcRTt2Nv3p2CIeend7Ux0hiO3sFTVNfKEwlm03bYHucZKem8rRg3O46vAUBqQpySMiIl2PEkAiIiIikhBDfvd9li0pIausqs3nbSDgdFCanoY7GmVAeSXOIyyOLdnMDXM+xAZWFuSxvLAnQGwnsJY/c+sbGVxWztLeBZy5YjU5t5wd1/+Zh2dz2pBezHhxDau2+GOzfCzTJJLm4YQBmdx4ci79sz0H4/ZFRDo12zDii+wnATvJ7qe9lAASERERkYRwpns5/I1r2DT5CVzLNmHTnLxpXuYVMU2WF+QzsLIKv8dNZWoKY5euZNLCxbHdv77q1XO3/RtAr5o6DttSTu8sN4VjBtPY2BjXJifdw1+nDAEgErVxmGi3LhERSUpKAImIiIhIwnh6pDLwzWtonL+G2lnziG6sAq+TrRnpLElJo8pwkLGxgrTGIBGng141dbgjUQygPDUlbpevthi2TV6Kk6Ofn7rXxI5Tu3WJiEgSUwJIRERERBIu5cSBpJw4MPZ9b+C4nZ6f//1HWdtgcVh5ZWymkGXuW8Im//9G40jRMi4REenetDeliIiIiHR6I56fgseKxopAA2T6A7ECzrtlGPQYkLPnNiIi0oqdpI/uTAkgEREREen0nG4Xg8cfxba0lNgbWF84Qp/Kqt0ngWwbb6aX/CMLDlmcIiIinZUSQCIiIiLSJRx+xUi2ZqZT73ZhNR87fsMmUoOh1kmg5u/PuG2cijqLiIigBJCIiIiIdBEOp4PUi09mYd9eBFxNpSy94QjnfLWCI0u34g5HgKbCz65olGMmjSD38N3vEiYiItKdqAi0iIiIiHQZYy4ZziMldYTf/pSimlpyGhpxWDa59Q2ETJOQy0llig/zjCMZ9qPhiQ5XRKTLsjEgyWZQ2iTX/bSXEkAiIiIi0mWYpsGVt5zKv04ZwEePvk+/zeX4Ik0zf2o9bspyszhs4nBGnn90giMVERHpXJQAEhEREZEuxWEafPf0vlinXkx1fYi6zTWE6/z0y/Bx1qAcHE5HokMUERHpdJQAEhEREZEuyTQNemR46JGRn+hQREREOj0VgRYRERERERERSXKaASQiIiIiIiIicWwDkq1msp1k99NemgEkIiIiIiIiIpLklAASEREREREREUlySgCJiIiIiIiIiCQ51QASERERERERkTg2yVcEyE6y+2kvzQASEREREREREUlySgCJiIiIiIiIiCQ5JYBERERERERERJKcagCJiIiIiIiISBw7+UoANd1TN6YZQCIiIiIiIiIiSU4JIBERERERERGRJKcEkIiIiIiIiIhIklMNIBERERERERGJY5N8RYDsJLuf9tIMIBERERERERGRJKcEkIiIiIiIiIhIklMCSEREREREREQkySkBJCIiIiIiIiKS5FQEWkRERERERETi2MlXA7rpnroxzQASEREREREREUlySgCJiIiIiIiIiCQ5JYBERERERERERJKcagCJiIiIiIiISBzbMMBIrqI5dpLdT3tpBpCIiIiIiIiISJJTAkhEREREREREJMkpASQiIiIiIiIikuRUA0hERERERERE4tiJDuAgSMZ7ag/NABIRERERERERSXJKAImIiIiIiIiIJDklgEREREREREREkpwSQCIiIiIiIiIiSU5FoEVEREREREQkjm0AhpHoMDqUnVy3026aASQiIiIiIiIikuSUABIRERERERERSXJKAImIiIiIiIiIJDnVABIRERERERGROHaiAzgIkvGe2kMzgEREREREREREkpwSQCIiIiIiIiIiSU4JIBERERERERGRJKcEkIiIiIiIiIjEMwzsJHtgGPv1Ujz88MP0798fr9fL8OHD+fDDD/fY/v3332f48OF4vV4GDBjAo48+ul/X7WhKAImIiIiIiIiItOGFF15g+vTp3HzzzXzxxReMHDmSs88+m5KSkjbbr1u3jnPOOYeRI0fyxRdfMGPGDH7605/yyiuvHOLIW1MCSERERERERESkDffffz9Tpkxh6tSpDB48mAcffJDi4mIeeeSRNts/+uij9OnThwcffJDBgwczdepULrvsMu67775DHHlrSgCJiIiIiIiIiOwiFArx2WefMXbs2LjjY8eO5eOPP27znE8++aRV+3HjxvHpp58SDocPWqz7wpnQq4t0YbZtA1BbW5vgSORgCIfDNDY2Ultbi8vlSnQ4coho3LsnjXv30tDQEPu6trYW09Tnod2Ffta7p0SMe8vvBy2/L3RZ/rpER9Dxmu9p19/hPB4PHo+nVfOKigqi0Sg9e/aMO96zZ0+2bNnS5iW2bNnSZvtIJEJFRQWFhYUHcgcHRAkgkf1UV9f0j0dxcXGCIxEREZH90bdv30SHICJJrK6ujszMzESH0W5ut5uCggK2/OSoRIdyUKSlpbX6He62227j9ttv3+05xi7Fo23bbnVsb+3bOn6oKQEksp969erFxo0bSU9PT/gPsnS82tpaiouL2bhxIxkZGYkORw4RjXv3pHHvfjTm3ZPGvXtKxLjbtk1dXR29evU6JNfraF6vl3Xr1hEKhRIdykHRVvKmrdk/ALm5uTgcjlazfcrLy1vN8mlRUFDQZnun00lOTs4BRH7glAAS2U+maVJUVJToMOQgy8jI0JvEbkjj3j1p3LsfjXn3pHHvng71uHfFmT8783q9eL3eRIeRcG63m+HDhzNnzhy+973vxY7PmTOH8847r81zTjrpJP7xj3/EHXvnnXcYMWJEwpefatGziIiIiIiIiEgbrrvuOh577DGeeOIJli9fzrXXXktJSQlXXnklAL/85S+55JJLYu2vvPJKNmzYwHXXXcfy5ct54oknePzxx7n++usTdQsxmgEkIiIiIiIiItKGH/7wh1RWVnLHHXdQVlbG0KFDmT17dqyOXFlZGSUlJbH2/fv3Z/bs2Vx77bX85S9/oVevXjz00ENMmDAhUbcQowSQiEgbPB4Pt912227XA0ty0rh3Txr37kdj3j1p3Lsnjbt0hKuuuoqrrrqqzedmzZrV6tjo0aP5/PPPD3JU7WfYXX5vOhERERERERER2RPVABIRERERERERSXJKAImIiIiIiIiIJDklgEREREREREREkpwSQCIi++C73/0uffr0wev1UlhYyMUXX0xpaWmiw5KDZP369UyZMoX+/fvj8/kYOHAgt912G6FQKNGhyUH229/+lpNPPpmUlBSysrISHY4cJA8//DD9+/fH6/UyfPhwPvzww0SHJAfRBx98wLnnnkuvXr0wDIPXX3890SHJQXb33XfzzW9+k/T0dPLz8xk/fjwrV65MdFgiCacEkIjIPjjttNN48cUXWblyJa+88gpr1qzhBz/4QaLDkoNkxYoVWJbFX//6V5YuXcoDDzzAo48+yowZMxIdmhxkoVCI888/n5/85CeJDkUOkhdeeIHp06dz880388UXXzBy5EjOPvvsuC18Jbk0NDQwbNgw/vznPyc6FDlE3n//fa6++mrmz5/PnDlziEQijB07loaGhkSHJpJQ2gVMRGQ/vPnmm4wfP55gMIjL5Up0OHII3HvvvTzyyCOsXbs20aHIITBr1iymT59OdXV1okORDnbCCSdw3HHH8cgjj8SODR48mPHjx3P33XcnMDI5FAzD4LXXXmP8+PGJDkUOoW3btpGfn8/777/PqFGjEh2OSMJoBpCISDtt376dZ555hpNPPlnJn26kpqaGHj16JDoMETkAoVCIzz77jLFjx8YdHzt2LB9//HGCohKRg62mpgZA/49Lt6cEkIjIPvrFL35BamoqOTk5lJSU8MYbbyQ6JDlE1qxZw5/+9CeuvPLKRIciIgegoqKCaDRKz54944737NmTLVu2JCgqETmYbNvmuuuu45RTTmHo0KGJDkckoZQAEpFu6/bbb8cwjD0+Pv3001j7G264gS+++IJ33nkHh8PBJZdcglbRdi3tHXOA0tJSzjrrLM4//3ymTp2aoMjlQOzPuEtyMwwj7nvbtlsdE5HkMG3aNJYsWcJzzz2X6FBEEs6Z6ABERBJl2rRpTJw4cY9t+vXrF/s6NzeX3NxcDjvsMAYPHkxxcTHz58/npJNOOsiRSkdp75iXlpZy2mmncdJJJ/H//t//O8jRycHS3nGX5JWbm4vD4Wg126e8vLzVrCAR6fquueYa3nzzTT744AOKiooSHY5IwikBJCLdVktCZ3+0zPwJBoMdGZIcZO0Z882bN3PaaacxfPhwZs6ciWlq0mxXdSA/65Jc3G43w4cPZ86cOXzve9+LHZ8zZw7nnXdeAiMTkY5k2zbXXHMNr732GnPnzqV///6JDkmkU1ACSERkLxYsWMCCBQs45ZRTyM7OZu3atfzqV79i4MCBmv2TpEpLSzn11FPp06cP9913H9u2bYs9V1BQkMDI5GArKSlh+/btlJSUEI1GWbRoEQCDBg0iLS0tscFJh7juuuu4+OKLGTFiRGx2X0lJiWp8JbH6+npWr14d+37dunUsWrSIHj160KdPnwRGJgfL1VdfzbPPPssbb7xBenp6bNZfZmYmPp8vwdGJJI62gRcR2Ysvv/ySn/3sZyxevJiGhgYKCws566yzuOWWW+jdu3eiw5ODYNasWVx66aVtPqf/NpPb5MmTefLJJ1sdf++99zj11FMPfUByUDz88MPcc889lJWVMXToUB544AFtDZ3E5s6dy2mnndbq+I9//GNmzZp16AOSg253Nb1mzpzJ5MmTD20wIp2IEkAiIiIiIiIiIklOBQ1ERERERERERJKcEkAiIiIiIiIiIklOCSARERERERERkSSnBJCIiIiIiIiISJJTAkhEREREREREJMkpASQiIiIiIiIikuSUABIRERERERERSXJKAImIiIiIiIiIJDklgEREREQ6mVmzZpGVlZXoMERERCSJKAEkIiIiXUZ5eTlXXHEFffr0wePxUFBQwLhx4/jkk09ibfr168eDDz7Y6tzbb7+dY445ptXxTZs24Xa7OeKII9q8pmEYsUd6ejojRozg1Vdf7ahbEhERETkklAASERGRLmPChAksXryYJ598klWrVvHmm29y6qmnsn379v3uc9asWVxwwQU0Njby0Ucftdlm5syZlJWVsXDhQoYNG8b5558fl3QSERER6eyUABIREZEuobq6mnnz5vH73/+e0047jb59+3L88cfzy1/+km9/+9v71adt28ycOZOLL76YH/3oRzz++ONttsvKyqKgoIAjjjiCRx99FK/Xy5tvvtmqnWVZFBUV8eijj8Yd//zzzzEMg7Vr1wJw//33c9RRR5GamkpxcTFXXXUV9fX1u41z8uTJjB8/Pu7Y9OnTOfXUU+Pu5Z577mHAgAH4fD6GDRvGyy+/vI+vhIiIiCQ7JYBERESkS0hLSyMtLY3XX3+dYDDYIX2+9957NDY2cuaZZ3LxxRfz4osvUldXt8dzXC4XTqeTcDjc6jnTNJk4cSLPPPNM3PFnn32Wk046iQEDBsTaPfTQQ3z11Vc8+eST/Pe//+XGG288oHu55ZZbmDlzJo888ghLly7l2muvZdKkSbz//vsH1K+IiIgkByWAREREpEtwOp3MmjWLJ598kqysLL71rW8xY8YMlixZ0qrtL37xi1jCqOVx1113tWr3+OOPM3HiRBwOB0ceeSSDBg3ihRde2G0MwWCQ3/zmN9TW1nLGGWe02eaiiy7io48+YsOGDUDTrKDnn3+eSZMmxdpMnz6d0047jf79+3P66adz55138uKLL7b3JYlpaGjg/vvv54knnmDcuHEMGDCAyZMnM2nSJP7617/ud78iIiKSPJQAEhERkS5jwoQJlJaW8uabbzJu3Djmzp3Lcccdx6xZs+La3XDDDSxatCjuceWVV8a1qa6u5tVXX41LzEyaNIknnnii1XUvvPBC0tLSSElJ4f777+e+++7j7LPPbjPGY489liOOOILnnnsOgPfff5/y8nIuuOCCWJv33nuPMWPG0Lt3b9LT07nkkkuorKykoaFhv16XZcuWEQgEGDNmTFzS66mnnmLNmjX71aeIiIgkF2eiAxARERFpD6/Xy5gxYxgzZgy/+tWvmDp1KrfddhuTJ0+OtcnNzWXQoEFx5/Xo0SPu+2effZZAIMAJJ5wQO2bbNpZlsWzZMoYMGRI7/sADD3DmmWeSkZFBfn7+XmO86KKLePbZZ7npppt49tlnGTduHLm5uQBs2LCBc845hyuvvJI777yTHj16MG/ePKZMmdLmsjJoWjJm23bcsZ3bWpYFwL/+9S969+4d187j8ew1XhEREUl+mgEkIiIiXdqQIUP2a+bM448/zs9//vO4WUKLFy/mtNNOazULqKCggEGDBu1T8gfgRz/6EV9++SWfffYZL7/8MhdddFHsuU8//ZRIJMIf/vAHTjzxRA477DBKS0v32F9eXh5lZWVxxxYtWhT7esiQIXg8HkpKShg0aFDco7i4eJ9iFhERkeSmGUAiIiLSJVRWVnL++edz2WWXcfTRR5Oens6nn37KPffcw3nnndeuvhYtWsTnn3/OM888wxFHHBH33IUXXsjNN9/M3Xffjcvl2q9Y+/fvz8knn8yUKVOIRCJx8Q0cOJBIJMKf/vQnzj33XD766KNWu4bt6vTTT+fee+/lqaee4qSTTuLpp5/mq6++4thjjwUgPT2d66+/nmuvvRbLsjjllFOora3l448/Ji0tjR//+Mf7dR8iIiKSPDQDSERERLqEtLQ0TjjhBB544AFGjRrF0KFDufXWW7n88sv585//3K6+Hn/8cYYMGdIq+QMwfvx4tm/fzj/+8Y8Diveiiy5i8eLFfP/738fn88WOH3PMMdx///38/ve/Z+jQoTzzzDPcfffde+xr3Lhx3Hrrrdx4441885vfpK6ujksuuSSuzZ133smvfvUr7r77bgYPHsy4ceP4xz/+Qf/+/Q/oPkRERCQ5GPauC8pFRERERERERCSpaAaQiIiIiIiIiEiSUwJIRERERERERCTJKQEkIiIiIiIiIpLklAASEREREREREUlySgCJiIiIiIiIiCQ5JYBERERERERERJKcEkAiIiIiIiIiIklOCSARERERERERkSSnBJCIiIiIiIiISJJTAkhEREREREREJMkpASQiIiIiIiIikuSUABIRERERERERSXL/H0ciLYHjHPsGAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "restored_model3.shap_summary_plot(test_h2o[:,:-1])\n", - "fig = plt.gcf()\n", - "fig.savefig(\"./product/3shap_summary_plot.png\", dpi=300, bbox_inches=\"tight\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:base] *", - "language": "python", - "name": "conda-base-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.2" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}