{ "cells": [ { "cell_type": "markdown", "id": "078900c6-d71d-44f0-9e76-cc5ce66f0ca9", "metadata": {}, "source": [ "# Logistic regression: monotonic cubic intended for paper\n", "\n", "Exploring different fitting techniques and using MLE asymptotic approx of parameter distribution to estimate model CI intervals using monotonic (constrained) cubic logistic regression model.\n", "\n", "Considering full data and trimmed. The results are intended for the paper." ] }, { "cell_type": "markdown", "id": "e18cec5e", "metadata": {}, "source": [ "## Common" ] }, { "cell_type": "code", "execution_count": 1, "id": "031f95bb", "metadata": {}, "outputs": [], "source": [ "from pathlib import Path\n", "import sys\n", "\n", "project_root = Path.cwd().parent # when notebook is in project/notebooks/\n", "src_dir = project_root / \"src\"\n", "\n", "if str(src_dir) not in sys.path: sys.path.insert(0, str(src_dir))" ] }, { "cell_type": "code", "execution_count": 2, "id": "3b351af7", "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "import pandas as pd\n", "\n", "# our libs\n", "from irae_risk import data\n", "from irae_risk import reporting\n", "from irae_risk import logistic\n", "\n", "import numdifftools as nd\n", "\n", "# general setting\n", "np.set_printoptions(precision=16)\n", "# Reproducibility: pass this seed to every stochastic calculation.\n", "random_seed = logistic.DEFAULT_RANDOM_SEED\n", "width=5\n", "\n", "height=3.6\n", "verbose = False" ] }, { "cell_type": "markdown", "id": "e0de7f02-942b-42ff-874c-3c0e2ac1e0dc", "metadata": {}, "source": [ "## Data" ] }, { "cell_type": "code", "execution_count": 3, "id": "3373f87f", "metadata": { "tags": [] }, "outputs": [], "source": [ "# load all data\n", "data_path = Path(\"../data/raw\")\n", "\n", "results_path = Path(\"../results/logit_mono-cubic4paper\")\n", "if not results_path.exists(): results_path.mkdir(parents=True)\n", "\n", "df = data.load_mat_data_to_dataframe(\n", " suv_filename = data_path / \"suv_percentilesSLOthenUWM.mat\",\n", " flags_filename = data_path / \"flags_combined.mat\",\n", " nr_patients = 58,\n", ")" ] }, { "cell_type": "code", "execution_count": 4, "id": "4a292c31", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "X", 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" ], "text/plain": [ " X Y scale dataset\n", "0 2.105302 1 plain FULL\n", "1 1.536383 0 plain FULL\n", "2 1.274405 0 plain FULL\n", "3 1.187935 0 plain FULL\n", "4 1.674636 1 plain FULL\n", ".. ... .. ... ...\n", "225 0.428051 0 log TRIM\n", "226 0.418426 0 log TRIM\n", "227 0.444583 0 log TRIM\n", "228 0.210767 0 log TRIM\n", "229 0.364238 0 log TRIM\n", "\n", "[230 rows x 4 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# get (x,y) data for a given organ and percentile\n", "perc = 95\n", "organ = \"lung\"\n", "\n", "x0, y0 = data.get_data_from_dataframe(df, organ, perc)\n", "\n", "# values for trimmed dataset\n", "value_to_drop = 2.48 # target value\n", "tol = 1e-2 # tolerance: matches 2.481... too\n", "drop_mask = (np.abs(x0 - value_to_drop) <= tol)\n", "\n", "# prepare datasets FULL, TRIM\n", "df_data = data.prepare_datasets(x0, y0, drop_mask)\n", "df_data" ] }, { "cell_type": "code", "execution_count": 5, "id": "f27d9a03", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['X', 'Y', 'scale', 'dataset'], dtype='object')\n" ] } ], "source": [ "print(df_data.columns)" ] }, { "cell_type": "markdown", "id": "35e9bb7b-5a50-4cae-9af4-261c11453dd4", "metadata": {}, "source": [ "## Fit\n", "\n", "Ref: logistic regression documentation\n", "* https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", "* https://stats.stackexchange.com/questions/186830/what-is-scikit-learns-logisticregression-minimizing" ] }, { "cell_type": "code", "execution_count": 6, "id": "239ae789", "metadata": { "tags": [] }, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "beta", "rawType": "object", "type": "unknown" }, { "name": "cost", 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True \n", "1 [-318.62464734761795, 1.857536200865192e-08, 7... True \n", "2 [-123.9920841884572, 3.2639440210476386e-10, 5... True \n", "3 [-450.08784728182553, -2.5585059183984002, -14... True \n", "\n", " message nit \n", "0 CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*... 4 \n", "1 CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*... 5 \n", "2 CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*... 6 \n", "3 CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*... 1 \n", "\n", "[4 rows x 28 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# defining two-sided confidence intervals\n", "alpha = 0.05 # significance level\n", "probs = [alpha/2, 1 - alpha/2]\n", "\n", "# fits, light L2 regularization, monotonicity constraints\n", "logit = logistic.LogisticPolyRegression(3, mono = True, lam = (0, 1e-6))\n", "\n", "lst = []\n", "for (scale, dataset), g in df_data.groupby(['scale', 'dataset']):\n", " \n", " if verbose: print(f\"Fitting: {scale}, {dataset}\")\n", "\n", " # data associated to scale and dataset\n", " X, Y = g['X'].to_numpy(), g['Y'].to_numpy()\n", "\n", " # fit\n", " res_fit = logit.fit(X, Y, method=\"diff_evol\", seed=random_seed)\n", " \n", " # calc nllf and beta for fitted theta\n", " res_nllf = logit.get_nllf(X, Y, res_fit['theta'], jac = True)\n", "\n", " # cost and jacobian norm\n", " cost = logit.get_cost(X, Y, res_fit['theta'], jac = True)\n", " \n", " # beta of fitted theta\n", " beta = logit.get_beta(res_fit['theta'])\n", " \n", " # covariance matrix of theta\n", " cov = logit.get_cov(X, Y, res_fit['theta'])\n", " \n", " # standard error of theta\n", " theta_SE = logit.get_SE_theta_normal(cov)\n", "\n", " # CI of params (assuming asymptotic distr of parameters) : Wald approximation\n", " theta_CI = logit.get_theta_quantiles_normal(probs, res_fit['theta'], cov)\n", " \n", " # goodness of fit\n", " res_gof = logit.goodness_of_fit(\n", " X, Y, res_fit['theta'], bootstrap_seed=random_seed\n", " )\n", "\n", " lst.append(\n", " {\"scale\": scale, \"dataset\": dataset, \"beta\": beta} | \n", " {\"cost\": cost[0], \"cost_jac\": cost[1], \"|cost_jac|\": np.linalg.norm(cost[1])} |\n", " {\"nllf\": res_nllf[0], \"nllf_jac\": res_nllf[1], \"|nllf_jac|\": np.linalg.norm(res_nllf[1])} | \n", " {\"cov\": cov, \"cov_evals\": np.linalg.eigvals(cov)} |\n", " {\"SE\": theta_SE, \"LCL\": theta_CI[0], \"UCL\": theta_CI[1]} |\n", " res_gof |res_fit)\n", "\n", "df_fit = pd.DataFrame(lst)\n", "df_fit" ] }, { "cell_type": "markdown", "id": "6aa65982", "metadata": {}, "source": [ "## Checking stuff" ] }, { "cell_type": "markdown", "id": "2851e6d3", "metadata": {}, "source": [ "Problem: The entries in covariance matrices are quite large.." ] }, { "cell_type": "code", "execution_count": 7, "id": "9de8d697", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Checking: log, FULL\n", "Cost jacobian:\n" ] }, { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "object", "type": "string" }, { "name": "0", "rawType": "float64", "type": "float" }, { "name": "1", "rawType": "float64", "type": "float" }, { "name": "2", "rawType": "float64", "type": "float" }, { "name": "3", "rawType": "float64", "type": "float" } ], "ref": "974fdcdf-a37d-403d-8a93-640bc20c8769", "rows": [ [ "cost_jac", "-7.355027631955494e-07", "8.200285753456975e-08", "2.610400320850583e-07", "-1.0422766407828805e-07" ], [ "gradient", "-7.355028877535291e-07", "8.200358406872875e-08", "2.6103645978749477e-07", "-1.042406415160268e-07" ] ], "shape": { "columns": 4, "rows": 2 } }, "text/html": [ "
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nd.Gradient(cost_fun)(theta)}).T)\n", "\n", " print(\"nllf jacobian:\")\n", " nllf_fun = lambda p: logit.get_nllf(X, Y, p, jac = False)\n", " display(pd.DataFrame({'nllf_jac': res_fit['nllf_jac'], 'gradient': nd.Gradient(nllf_fun)(theta)}).T)\n", "\n", " numH = nd.Hessian(cost_fun)(theta)\n", " directH = logit.get_cost_hessian(X, Y, theta)\n", " print(\"num hess:\")\n", " display(pd.DataFrame(numH))\n", " print(\"direct hess:\")\n", " display(pd.DataFrame(directH))\n", "\n", " print('cov via directH:') \n", " display(pd.DataFrame(res_fit['cov']))\n", " print('inv_hess cost:')\n", " display(pd.DataFrame(np.linalg.pinv(numH)))\n", "\n", " print('eigenvalues directH:') \n", " display(pd.DataFrame(np.linalg.eigvals(directH)))\n", " print('eigenvalues numH:')\n", " display(pd.DataFrame(np.linalg.eigvals(numH)))\n", "\n", " print(\"cond directH:\", np.linalg.cond(directH))\n", " print(\"cond numH:\", np.linalg.cond(numH))\n", "\n", " print(\"difference between hessians:\")\n", " display(pd.DataFrame(directH - numH))" ] }, { "cell_type": "code", "execution_count": 8, "id": "2ee2f6e0", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_cost_plot = reporting.build_cost_perturbation_data(\n", " df_data=df_data,\n", " df_fit=df_fit,\n", " lg=logit,\n", " scale=\"log\",\n", " perturb_min=-200,\n", " perturb_max=200,\n", " n_grid=400,\n", " verbose=verbose,\n", ")\n", "\n", "reporting.plot_cost_perturbation_from_dataframe(\n", " df_cost_plot=df_cost_plot,\n", " results_path=results_path,\n", " filename=\"logit_cost_min_paper.pdf\",\n", " verbose=verbose,\n", " width=width,\n", " height=height,\n", ")" ] }, { "cell_type": "markdown", "id": "e4070360", "metadata": {}, "source": [ "## Show fit results " ] }, { "cell_type": "code", "execution_count": 9, "id": "9e51e07c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['scale', 'dataset', 'beta', 'cost', 'cost_jac', '|cost_jac|', 'nllf',\n", " 'nllf_jac', '|nllf_jac|', 'cov', 'cov_evals', 'SE', 'LCL', 'UCL', 'LLF',\n", " 'AIC', 'BIC', 'A', 'deviance', 'p-value(deviance_bootstrap)',\n", " 'deviance_bootstrap_samples', 'n', 'k', 'dof', 'theta', 'success',\n", " 'message', 'nit'],\n", " dtype='object')" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_fit.columns" ] }, { "cell_type": "code", "execution_count": 10, "id": "1a0a518b", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "AIC", "rawType": "float64", "type": "float" }, { "name": "BIC", "rawType": "float64", "type": "float" }, { "name": "A", "rawType": "float64", "type": "float" }, { "name": "n", "rawType": "int64", "type": "integer" }, { "name": "k", "rawType": "int64", "type": "integer" }, { "name": "|cost_jac|", "rawType": "float64", "type": "float" }, { "name": "dof", "rawType": "int64", "type": "integer" }, { "name": "cost", "rawType": "float64", "type": "float" }, { "name": "deviance", "rawType": "float64", "type": "float" }, { "name": "p-value(deviance_bootstrap)", "rawType": "float64", "type": "float" }, { "name": "success", "rawType": "bool", "type": "boolean" } ], "ref": "1eb0268b-e58c-455a-80aa-108a23a0a6f3", "rows": [ [ "0", "log", "FULL", "17.205940322023878", "25.447712364209558", "0.9482758620689655", "58", "4", "7.916401250709239e-07", "54", "4.605007497422367", "9.20594032202388", "0.1958041958041958", "True" ], [ "1", "log", "TRIM", "11.184553439662178", "19.35675851100038", "0.9824561403508771", "57", "4", "1.5646296976633275e-08", "53", "1.7008095126243348", "3.1845534396621784", "0.07792207792207792", "True" ], [ "2", "plain", "FULL", "17.53300113796263", "25.7747731801483", "0.9655172413793104", "58", "4", "1.1080803311146413e-07", "54", "4.782069565530923", "9.533001137962627", "0.22777222777222778", "True" ], [ "3", "plain", "TRIM", "12.554235842210023", "20.726440913548224", "0.9649122807017544", "57", "4", "9.275828087952893e-05", "53", "2.480641733961353", "4.554235842210023", "0.25074925074925075", "True" ] ], "shape": { "columns": 13, "rows": 4 } }, "text/html": [ "
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" ], "text/plain": [ " scale dataset AIC BIC A n k |cost_jac| dof \\\n", "0 log FULL 17.205940 25.447712 0.948276 58 4 7.916401e-07 54 \n", "1 log TRIM 11.184553 19.356759 0.982456 57 4 1.564630e-08 53 \n", "2 plain FULL 17.533001 25.774773 0.965517 58 4 1.108080e-07 54 \n", "3 plain TRIM 12.554236 20.726441 0.964912 57 4 9.275828e-05 53 \n", "\n", " cost deviance p-value(deviance_bootstrap) success \n", "0 4.605007 9.205940 0.195804 True \n", "1 1.700810 3.184553 0.077922 True \n", "2 4.782070 9.533001 0.227772 True \n", "3 2.480642 4.554236 0.250749 True " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# goodness of fit measures\n", "df_fit[['scale', 'dataset', 'AIC', 'BIC', 'A', 'n', 'k', '|cost_jac|', 'dof', 'cost', 'deviance', \"p-value(deviance_bootstrap)\", 'success']]" ] }, { "cell_type": "code", "execution_count": 11, "id": "96acc3ab", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "idx", "rawType": "object", "type": "unknown" }, { "name": "beta", "rawType": "object", "type": "unknown" }, { "name": "theta", "rawType": "object", "type": "unknown" }, { "name": "SE", "rawType": "object", "type": "unknown" }, { "name": "LCL", "rawType": "object", "type": "unknown" }, { "name": "UCL", "rawType": "object", "type": "unknown" } ], "ref": "2301b246-054a-447e-9a98-64eef02e9f8d", "rows": [ [ "0", "log", "FULL", "0", "-40.709396914613", "-40.709396914613", "20.369621632440168", "-80.63312169290373", "-0.7856721363222903" ], [ "1", "log", "FULL", "1", "152.89836530332548", "3.3296894069464475e-07", "2.3837092286508618e-07", "-1.3422948308249956e-07", "8.00167364471789e-07" ], [ "2", "log", "FULL", "2", "-186.37574053397566", "15.072592609510652", "4.286258791397725", "6.6716797499529275", "23.473505469068375" ], [ "3", "log", "FULL", "3", "75.72768265742504", "-12.36520785524147", "3.2033983790039344", "-18.643753306223175", "-6.086662404259769" ], [ "4", "log", "TRIM", "0", "-318.62464734761795", "-318.62464734761795", "234.97851248295277", "-779.174068955001", "141.924774259765" ], [ "5", "log", "TRIM", "1", "1693.4465144003668", "1.857536200865192e-08", "1.532970540106523e-08", "-1.1470308471045082e-08", "4.862103248834892e-08" ], [ "6", "log", "TRIM", "2", "-3000.8677589430836", "72.92242715002978", "26.48357418610733", "21.01557556336472", "124.82927873669482" ], [ "7", "log", "TRIM", "3", "1772.5601271504665", "-41.15150683025309", "15.096945854735441", "-70.74097698208583", "-11.562036678420363" ], [ "8", "plain", "FULL", "0", "-123.9920841884572", "-123.9920841884572", "56.44512379101394", "-234.6224939217495", "-13.361674455164916" ], [ "9", "plain", "FULL", "1", "163.79348731355395", "3.2639440210476386e-10", "1.9967245697097078e-10", "-6.49564222629626e-11", "7.177452264724902e-10" ], [ "10", "plain", "FULL", "2", "-71.44793648617683", "5.582662527800109", "1.3769138409361417", "2.8839609897505585", "8.28136406584966" ], [ "11", "plain", "FULL", "3", "10.388706966434503", "-12.798182969216917", "2.9849196813668497", "-18.648518041440717", "-6.9478478969931174" ], [ "12", "plain", "TRIM", "0", "-450.08784728182553", "-450.08784728182553", "279.83196706304994", "-998.5484244484021", "98.37272988475098" ], [ "13", "plain", "TRIM", "1", "727.8477216066221", "-2.5585059183984002", "1.7706624112591967", "-6.028940473245276", "0.9119286364484749" ], [ "14", "plain", "TRIM", "2", "-395.5333728872123", "-14.72735088014351", "5.467168366848737", "-25.442803976583704", "-4.0118977837033185" ], [ "15", "plain", "TRIM", "3", "72.29828798228793", "26.857061810111368", "9.038609144389634", "9.141713416773289", "44.572410203449444" ] ], "shape": { "columns": 8, "rows": 16 } }, "text/html": [ "
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scaledatasetidxbetathetaSELCLUCL
0logFULL0-40.709397-40.70939720.369622-80.633122-0.785672
1logFULL1152.8983650.00.0-0.00.000001
2logFULL2-186.37574115.0725934.2862596.6716823.473505
3logFULL375.727683-12.3652083.203398-18.643753-6.086662
4logTRIM0-318.624647-318.624647234.978512-779.174069141.924774
5logTRIM11693.4465140.00.0-0.00.0
6logTRIM2-3000.86775972.92242726.48357421.015576124.829279
7logTRIM31772.560127-41.15150715.096946-70.740977-11.562037
8plainFULL0-123.992084-123.99208456.445124-234.622494-13.361674
9plainFULL1163.7934870.00.0-0.00.0
10plainFULL2-71.4479365.5826631.3769142.8839618.281364
11plainFULL310.388707-12.7981832.98492-18.648518-6.947848
12plainTRIM0-450.087847-450.087847279.831967-998.54842498.37273
13plainTRIM1727.847722-2.5585061.770662-6.028940.911929
14plainTRIM2-395.533373-14.7273515.467168-25.442804-4.011898
15plainTRIM372.29828826.8570629.0386099.14171344.57241
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" ], "text/plain": [ " scale dataset idx beta theta SE LCL \\\n", "0 log FULL 0 -40.709397 -40.709397 20.369622 -80.633122 \n", "1 log FULL 1 152.898365 0.0 0.0 -0.0 \n", "2 log FULL 2 -186.375741 15.072593 4.286259 6.67168 \n", "3 log FULL 3 75.727683 -12.365208 3.203398 -18.643753 \n", "4 log TRIM 0 -318.624647 -318.624647 234.978512 -779.174069 \n", "5 log TRIM 1 1693.446514 0.0 0.0 -0.0 \n", "6 log TRIM 2 -3000.867759 72.922427 26.483574 21.015576 \n", "7 log TRIM 3 1772.560127 -41.151507 15.096946 -70.740977 \n", "8 plain FULL 0 -123.992084 -123.992084 56.445124 -234.622494 \n", "9 plain FULL 1 163.793487 0.0 0.0 -0.0 \n", "10 plain FULL 2 -71.447936 5.582663 1.376914 2.883961 \n", "11 plain FULL 3 10.388707 -12.798183 2.98492 -18.648518 \n", "12 plain TRIM 0 -450.087847 -450.087847 279.831967 -998.548424 \n", "13 plain TRIM 1 727.847722 -2.558506 1.770662 -6.02894 \n", "14 plain TRIM 2 -395.533373 -14.727351 5.467168 -25.442804 \n", "15 plain TRIM 3 72.298288 26.857062 9.038609 9.141713 \n", "\n", " UCL \n", "0 -0.785672 \n", "1 0.000001 \n", "2 23.473505 \n", "3 -6.086662 \n", "4 141.924774 \n", "5 0.0 \n", "6 124.829279 \n", "7 -11.562037 \n", "8 -13.361674 \n", "9 0.0 \n", "10 8.281364 \n", "11 -6.947848 \n", "12 98.37273 \n", "13 0.911929 \n", "14 -4.011898 \n", "15 44.57241 " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# table of parameters and their CI (Wald approximation)\n", "df_theta = df_fit[[\"scale\", \"dataset\", \"beta\", \"theta\", \"SE\", \"LCL\", \"UCL\"]].copy()\n", "\n", "# add index column for exploding\n", "indices = df_theta[\"theta\"].apply(lambda x: list(range(len(x))))\n", "df_theta.insert(2, \"idx\", indices)\n", "\n", "# convert to long format by exploding the theta, SE, LCL, UCL, beta columns\n", "cols = [\"idx\", \"beta\", \"theta\", \"SE\", \"LCL\", \"UCL\"]\n", "df_theta_long = df_theta.explode(cols, ignore_index=True)\n", "df_theta_long" ] }, { "cell_type": "code", "execution_count": 12, "id": "5f940ec5", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#\n", "# plotting data and fits + simple confidence intervals\n", "#\n", "\n", "alpha = 0.05\n", "\n", "df_points, df_fit_plot, df_ci_plot = reporting.build_plot_data(\n", " df_data=df_data,\n", " df_fit_index=df_fit_index,\n", " alpha=alpha,\n", " lg=logit,\n", " n_grid=100,\n", " verbose=verbose,\n", " seed=random_seed,\n", ")\n", "\n", "reporting.plot_from_dataframes(\n", " df_points=df_points,\n", " df_fit_plot=df_fit_plot,\n", " df_ci_plot=df_ci_plot,\n", " xlabs=xlabs,\n", " results_path=results_path,\n", " filename=\"logit_fit_CI_simple_paper.pdf\",\n", " verbose=verbose,\n", " width=width,\n", " height=height,\n", ")" ] }, { "cell_type": "markdown", "id": "67fa2c6c", "metadata": {}, "source": [ "## Model CI\n", "\n", "**Coverage note.** We use *confidence band* as the standard graphical term for the envelope around the fitted function. The limits calculated below are pointwise confidence intervals: their nominal coverage applies separately at each fixed predictor value and not simultaneously to the complete curve.\n" ] }, { "cell_type": "code", "execution_count": 16, "id": "e14807ae", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Bootstrap parameters: log, FULL\n", "\tmethod: normal\n", "\tmethod: nonparam_boots\n", "\tmethod: nonparam_stratified_boots\n", "\tmethod: parametric_boots\n", "Bootstrap parameters: log, TRIM\n", "\tmethod: normal\n", "\tmethod: nonparam_boots\n", "\tmethod: nonparam_stratified_boots\n", "\tmethod: parametric_boots\n", "Bootstrap parameters: plain, FULL\n", "\tmethod: normal\n", "\tmethod: nonparam_boots\n", "\tmethod: nonparam_stratified_boots\n", "\tmethod: parametric_boots\n", "Bootstrap parameters: plain, TRIM\n", "\tmethod: normal\n", "\tmethod: nonparam_boots\n", "\tmethod: nonparam_stratified_boots\n", "\tmethod: parametric_boots\n" ] } ], "source": [ "alpha = 0.05\n", "\n", "#\n", "# prepare boostrapped parameters\n", "#\n", "boots_theta_results = reporting.load_or_build_bootstrap_theta(\n", " df_data=df_data,\n", " lg=logit,\n", " results_path=results_path,\n", " filename=\"boots_theta_results.pkl\",\n", " n_boots=10000,\n", " methods=(\"normal\", \"nonparam_boots\", \"nonparam_stratified_boots\", \"parametric_boots\"),\n", " verbose=True,\n", " seed=random_seed,\n", ")" ] }, { "cell_type": "code", "execution_count": 17, "id": "a4e59847", "metadata": {}, "outputs": [], "source": [ "#\n", "# computing set of confidence intervals\n", "#\n", "\n", "df_points, df_fit_plot, df_ci_plot = reporting.build_plot_data_full_ci(\n", " df_data=df_data,\n", " df_fit_index=df_fit_index,\n", " lg=logit,\n", " alpha=alpha,\n", " boots_theta_results=boots_theta_results,\n", " n_grid=100,\n", " analytic_methods=(\"normal\", \"delta\"),\n", " bootstrap_methods=(\"nonparam_boots\", \"parametric_boots\"),\n", " verbose=verbose,\n", " seed=random_seed,\n", ")" ] }, { "cell_type": "code", "execution_count": 18, "id": "966abde9", "metadata": {}, "outputs": [ { "data": { "image/png": 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sGkCDQtR//mfV7ctYKLZaKPb5wBEFpXE4jGYIj8NVqawZGTPZ5ceMqLJfi0YCa9mWdQYIN0B0Fec0QCECD+qxtcSgJ0uOQeuJwGmR8bicZEkShKv15b/HbKD8XJBn0UBONpSYoTQG2bwXQuPI+k9ZhTjyy+sbCth0FPs0FFvKj0cSxKrn1Ur1tZXXNwQ/IWSFgMvrVa8D3G5cFhmHRkOWXq8GeHYJsKNwxEG47NwecMSo5zhvPpRKUBoDoQ4Uu5WsKo7ZxUAxgBFAB24DzvL6WvQV9VWIqfbvmW0HbWEhOXIUTq8dp1mL3R6GIzq6Utmqzu3e9BByyr+Wkhk80WV/azMe/qvydyrwGsDQIz7PkfRgACwVFwGoJ1j1Y8qWxCPKHnl+KysTqle3AZRdqKlCrGW/64qTdXnlD/+MKt9fSOX348rX03O0skDYChBdeVUrKFZ75QX/3W+UlsMn2CP+z8OPLHvk36O8d6UOxVjFelrjEb+WkKPXQzri1xJddu1UJgzAjFL+e/cYqKQJz8eS0oL6cUiSdMwEeJ07d2batGnce++9FcvmzZvHpEmTcDqdVQbzVbUEJCcnU1RUREhIyFHlheOUoqgt6osXq4+VK9VWl3Hj1Pe/+EJtfaiKyQQvvghnnaVenKxeDa++qi43GsFgUB96vfpz3Djo0UNdNyMDFi0CnQ40GvWnJKl3KjUatVybNmrZggLYuFF9X6NRf5Y/NBpITj7cyuFwqC3uR5Yp75YnSRATA+U3vtxu9bMf6ciy4eGHy3q9R5ct58pinnU/k854HLPDS9dlmdw1/0uSo9RWW6dbZqWhHbqI7sTH6QhYrHgiY8jN1eBxQbwrFZtZvaCyF3kpOWBAq1Vom+AgNyKcQ4lJ5OVKzN70FFna1QwI6cAU2wUQ0JOdb8GplGKJPEQHlwZ9Uk/yc/SUFEORdiMGu3rTRQ5oyMtTj7jRMQXIegOuiEhKC41I+dA+dzshtlLidLH4tTY2emNwyU5MoXswuvZgsOkocURR6raBex92cyEAUTn7yc2IA52VuM4x5McmUhCfhLPEgKvEQJgzlRD/aiI0YZg0Fg7lReFSfNisu0lyFmCKS6GkEPKNE8gyZhBiKaz4teblhCErEhERxWj1Co6YWNwOPVKaQlzRQaJsuURoIwhYI9lZGoU74EMKTcNskDCm9Mfl0FBcqMdXvI0wSw5aWSa2IJ/srAj8AQ2RkUUUxIVQEp+Ax6WjtMCEzZNPhCWPEI0dm8ZGTr4Fly+AWbObOKUEa4eTcbt1HCwwk6ekEmY+VFHfwnw7Pr+OkJBSjCYfzqgYPD4Dut0yNkceifZ0QjR2POHJZJTYcHolfJaDmC0+7An9cQf0FOQa8BbvJ9yyH7PHQ3hpCfn5IbjdBiwRLpyJZlyRUXgVI0U5FgxuB3HWDCySmTBtGIVFJhxuLWbPFiKMJdjiB7B+42Z+X5VOTukBbNotFfUNBGIIKKFoNXloNflkAx63H3bpsAKJhm1YdBa0HQbgM8WSk2SiMDkDV/Qh2m/viNURj9+bTGG7AId6byesREe3vPaUWpNwhMaR10YL0ZE4Ejvht4bS/auvGPrZXOL0+9jkHss/fa4g77GeaDxe9H4vGjmAKxAKClilUmRJQdHI+BQTgdOMpIQup0uHxcSVbGHxnf/jQNIgUCQMmhIkxY9GkvEFjLBfw22vns4tF/UnOS4UvEXgzYPej9a7JaC4uJjQ0NBGOz82yfk4Px/+/VftBVWVhASw28srAIcOVV0OIC4OQsuu4EpLa74pGhOjHktBPT6npVVfNjoaItQbOLhccOBA9WUjIyGqLMrzeCA1tfqy4eFqPUA9lu/bV33ZsLDDx32fr/rjPqi/g/KbXYEA7N5dfVm7/fB5SlFg586qy7myIOtLHJHtWHegCy//dAozh3+MyeTj3eGnMmfIKeSW/e7NPj9n7M1mekaAffv1KEB73TY2x4RiCMi4ijS4SnTYLV7CbT4wGHBFJ5KRpsMVKOXFbf1RAgU8EHY3ekcSGVIURIDd7kTR6XBGRpOXoV7kJ+hSCUVPqDYUd7EOfaqHYsNBwsNLSDa3Z0u3buRkGCjyFhKh2YVBcYPfhSsnjVJHKEZNLiH2QuyOQhSrRE5WArIPIkMOIUWkEI4Zp2kAhc5IirSZhIaVEKuLxRETQe6ObRT5JTrnr8CqqC3SLreZPcYuaIw+wuyZYO+MI7E9hdkWAn4N0bpDhOIlShuJriiA/4CWPCmdyOh8wk1J7O/ai/w8I0VOBxZ2Yy27fevz6igstKPVBYiIKCa6sAB3TCz5uaF43ToMoUVYTF6itdF4fRpyCywUKXmERuYTqY3AF9eO/CIzjsJSYovWE4HaCu/269ghtUMjKURGF6qfITKK4hI7HpeOUG0eEVIRsdoYQgvdFB00kRfIIzI+A70tiYI2XSl0WSks9qJV9hFatl05IJGXFwZATFQ+8QV5OKJjKHSE4Swx4o/yEarJJUEXjyxDZq6N4kAx9shswnR2pOi2FHpseLPcmEu3EIv6v+wyGNjpaqMOsXJtJG3vZrZmpJFfagQ5EpNUTLQ2C0MBmLZux+PvjN+iQWvdiRKTSI5kxWWMo4MhjkHWQjxt97Owm8KYvTByfTsC6IiSN3PFhF1IsoRBMwBDx8vR9OxPUeJgiFKD3iEvvUTExq24MPLXmlkY7ilBPseMpaAUW34ucq5CoAAiTemYfDI6tw9dwEl+sZnwXbswxmcRyLdh9RVTnNIBY6meNiW78fjNOBUJxVxAdlQvNAYjthAdgWIzlsxd2PPTKJb1hBiLkA2JFIVEE+rMIM8j4TXokCJLcLji0Zm0WAIl6Dwh2PVOQg7mURrQEzDn4lJicCW0wRKjx7o9gOI5hMmfTYFiRIk3YyAEX8CIQecgz6OA24MmpghPfiQGJYAuVMKcryfOmYWChhKfGXdoCfnhHdHobVgjIFAcjiVtL6Ge/eTKRix6Bxp7HKW6cKIL9pMVMOA06dHEllAkt0cnKdjkAiRPCBH+UkLzcyn1WfGa83BIEbgTOmAP9WFKNSE5s7AE0snGjCcxhHBZi9tnxaBz4Sx24AmAFFeCqygKrUaL0erBnOEhJn8XOr2PUl8URTEB+ubt4KLTetK7c2yTno9bXTA/cuRI+vfvz6zy7l7A+++/z2233UZRUVG16x2psS9WhBZEUdTAe84c+OWXoy+unnxSbWH3emHbNvj6a/XiJi5O/RkZqV7EVHGT6ISkyLznXs/VfS5icPo+Hln8S+X33Rnq2KH40w/fLKijzYX/cufaCzBojDzb72ds+rCG17s2FBmyF0PBBkAGnY2Ku7OKAoFSkLQQ1htiRlU93jFnCTgzwBjz362DJxssiRB9shjvGEQHdu9g6YKfWLV4ASVFBVWWMZrMxKe0IzYxhbikNsQmphAeFUNIeAQhYRGYLFay3QdZcOgzluX8jE85HGxe3PY2Lm17KzqNlhv6xbDPZqy5Qh6F/70+m1duvxV/ZCwPhr7M0wencP4UhReflLCsXoImxEanC/pgtWn440+JpCT13l75fcYhQ2DSpMObXLsWrFZo305Gv+tpNbnOkWNqQf2OFm+FiP7Q/e56f8ea+vzYaPvbu7f6YF5oGRQZdr8NRVvxGLuyP1u9ufHSSafw5oCTAYh2lnJmpo/TspzY/XJNW6t+N4rCrpKNLM/9k1PjLgla9SvvpPz4nw4BF/iKD59Dys8f+hDQmsGSVPV5QJxDmkVediZL5//IPwt+JD+n6l4k5eeQ+JR2JKS0IyYhmfDQMELDI7BExqA3Gug+/2dOfvkJPugL086GEekGvto+Cke3PmT2GsgbJ41gUWQCGe0llCMvj7yQnA/vxMIE6fAITL3hcPuw0AIpMmxtGefjVtfNfujQocybN6/SsoULFzJ06NBq1hBOaEuWVB5fqNdD374wYAD076+OEcwvGwucnFzzOEsBJA2f7hkLfUCfW6petGiMIHvAV6BevIT3q3cgD/DdwfcAGBZ9RtMF8qAebEN7gCsTnGnq/MDasps4AZd64LbEq2WqOjBLGvWA7i1UL7r0oSDpQfGp8w3rLBDSTVyEBcnBvTv5/sM32fDv30e9Z7WH0qV3fzr17Evnnv1Jat8Rrbbq012RN5cPdz3Bmvw/UMo6MMb1uh7boBn8355S2mij0SoQWlBIuwNe/OFWwgqL8FjbYS8N0NXup8MvX5Gwby93Lr6P0rUWzntmOEWpBRhiwjhtJVj/hiFDJJKTgWS1O3FO3tH/JmPHqo//6t+//JlGne7GcVC9UDAnqV35/A5wpalZdJPOFt8xoXWQNBA3DlyHCBTvA7+Rg2FxvNdnCADXrlrI5MIw9Kajh8zUaTeSRCd7H2z6eOTGar868vgf8IKkU2dEKT8HSDpAq/6/VnceEOeQJpWXdYhv3n+NVYsXHJVszmi20KVXf7r2HUS3voNIbNsBjUb9vduyDtHl1+/ptPAnfrzsXB5IXsZJsacTOnICe/bvodPJp/JEFwu9Lj2XDVoTf1rh5UjwaA9vf5AfztFAfxcMM1YepaXVqg+hhZNazvm42YP50tJSdh/RXWvfvn2sX7+eiIgIUlJSuPfee0lPT+ejjz4C4Prrr+fVV1/lrrvu4qqrruLPP//kyy+/5JdffqluF8KJJBBQk/60b6++HjYMOnaEnj3VhEcDBohW9gb6N0/tRmosMagHLaVQveCwtlEDeXN8vbed6TrA8hx1mskxsRcGo7p1Y4qBuFMhbxU49h4e66SzqPMERw4qy1Bcw/pRw9QDuztbzV6s0amtKSHdal5XqJVDB1P58ZO3WbV4YaXlOr2BvkNHMvTUifQYMBSd7tint82Fy5mz52FKfPmARIeB9+MafgcZYep3fJsrj1G/LiL+2/exLV/IHz4vALO5mVuYTc8eCo/9JGE783LsEXoif1Z7OA8cOABL2bDJUaPUx3/V+35XaDfocsvheW1d6epsCxH91QsHMQ+10JrYO/DskploHDs5pcMinht/Ml6dnv6HDnJOQSiSuWGBfDmX7G68QL7ckcd/x0F1PHfADVoD6MPBlnLs84A4hzQ6l6OUeV98wMLv5uIvO6YDSBoNvQYNY+RpZ9Nz0PCjziHG4kL6zn2Pbj99hcbv5+0BMMP+Dq5SGVmn4dKhj7G73xgABpStEwB+ClEDeVsaRM+HVwbDGT3LClgRWrMWcj5u9mB+9erVnHLKKRWvb7/9dgCuuOIKPvjgAw4dOsSBI8aStWvXjl9++YUZM2bw8ssvk5SUxLvvvtvip6W76qqreP/994mIiCAjIwOj8RhdNYW627BBzUqcng6bNqld54uL1WzFtbiwF45NUaDLUB9r0ZISEQNJZ4HsBo0JjJENapEH+CHtA2RkeoUNI8HSPki1riNTDCScro538mSry4wxYAit3R1WU4x6R9ZXBAGPmmBFX8t1hWr5/X5+mfsev8x9D1k+nFIuPCqGiVOuZPCY07FYbTVs4YhtyX6+TXuLBSULIaYTkUljMA27lz0h6jhqs1/mknU7uOqBu+my4CfSSCSHJJLa6SmZOIWRIy8mYQYMGKi2tut06pjHmpKXB1VoN3W6G8cB9YaTzg7WFPEdq0FqWhrtTj31qOUWs5kOycmcN2ECd0ybhs0qrq6bkizDfa93IRDoyis/d2Z+l65oFIVr0nVIDbgxXO7rA29xwLGbUTHnEmtugnNK+fE/rAj8blA8IBlBZ6r9eUCcQxqFoij8s/AnvpnzaqUhWbbQME49cwrDx08mIjr2qPU0Xi/df/qSvnPfw1haQqYNLr08jD9jCwGZnjEjuWvEx+g1hxOg+bzw5Ztw5lR4QgvrYuD+WDBe3QQfVGhaLeB83OwRzujRo2ucS/GDDz6ocp1169Y1Yq2Cq6SkhC+//BJJksjPz+f7779nypQpzV2t44fPp06r9sILasu83Q6//Xa4b6oI5INGksDWXh23GCcFwBQVtG07/CXMz/gcaKZW+SNJGjCGq4/6rm+o57rCUbLSD/Dusw+xb8fhpHb20HAmXnQloyedh95Q+5ujh5QiHh2Ygm/Cu6BR+zLmlb1n8ctcdqCYaalFJC9eQuKCn/hEO5VreZsxQ5zM/jic8HDoFQIHzmvmrpCSpsVOP9eSdUhJ4bIzzwTUi/uc/Hx+XbKEh2fP5re//2bpZ5+hFX1cm4zPL3HNBUVkZOvISY7CEJCZkOWknavh+Q4UReGX9E845NpPG2uPpgnm4fDx33DsosfchhAUbqeDj155ipWL5lcs0+n1jD37YiZeNK3GG8HjHr6DpLUrAFjdtx2nnVtInlyAXmPkin6Pc27329H8J3B78S7460fYsxl++xnOEe13x7dmPh+LKKcJfPHFFzgcDm6//XZmzZrFnDlzRDAfLF6vmoH+u+/U15Mmwd13H87QKwRdVtnNkXBf/ZIRVWfhoa9wBkpJMLenR5jIgSGoF+NLfv2OL956Ca/HDYBGo2XilCs47cIrMJktx9jC0ebteQlfrh8u+h4NEONRiPX4Gb0jlWv++hd9v5EgSTgmnEu2q5iwnlfjmWakSDKSkiLGMrZ2HVNSePh//6u0zOP1MnTKFFasX8/ilSsZI3LwNBmjQeGNR7LJyddScEjDwBI3bk3w0n7d3vV5FmZ+Q9/w0UHbptC6HNy7izefuIes9MO9fAeePJbzrr6Z6LjEGtZUrZ52IyGH0lhw7VRusHxEnquAxJAuPDjqa9qG96xUVgHeD4fO98PGFXDbjWAXgbzQyEQw3wTmzJmDTqfjrrvuYsOGDfzxxx/s37+fNuXTkQn14/HABRfATz+p08M9/zyMH9/ctTqu7d6v51B7NZoJ9waOUbr2AkqAH8oS350ad+FRd7mFE4/f7+fDWY+z/PfD+VBiE1O4+v8eoX3XnjWsWbNL2/0fpn0vcM3C1fTVJKIvKSL6rccJ/f0b/KERbJ7zL/uUtvRoq6Pomv9jSDisWAEDBzZ4FInQQhkNBk4ZPJh1W7eSW1D1jAhC4woEQAYsAQWjHJyx7ZIk0St8MLHmTnhlX1C2KbQuf//2A5+9/hw+rzpDidli5YoZDzLw5KOH3JTTOx1Eb99MRv/BoNGQN3gY7337A8/8M4Xc0jTibO15bsIiIqrI5/BRGHwZBsZBsGk/dDI10gcThCOIK+ZGtnXrVlasWMH48eOJjY1l6tSpyLLM+++/39xVa/1mzlQDeZMJ3nhDBPJN4H+PxVAco+W6ZwuJcwdv2qcNBcs45D6AVRfKkKiJQduu0Dq5XU5mz5xRKZAfNfFcHnrtk3oF8g6tBrdWPd21I4Q3O77MAE0i1s2raHPjREJ//waAfYOmcPE9bZk2XUdmJrRpo07vPWiQCOSPZ16vl0UrVyJJEn27iQSCTal8lGVAlijUawgE+f/MJ/tFIH8CUhSFHz95hw9nPV4RyKd06MIDr35cYyBvz0jjzP9NZfzMGUSm7obISJySm5dWXEFm6W4iLYk8M/7PowJ5vw9uWQ1zy0ZGPCOJQF5oOqJlvpHNmTMHgMsvvxyAc889lxtvvJH333+fhx56qGKqC6Ee7r0Xli2Dq68G0S2ySXi8EpoihX5GN/ogJgZen78UgH7hozBqxWwDJ7LiwnxeefA2UndtA9Qs9dPverTGC7CaeIGHu5tQ9FZeXF9IB8UOAT8Rc18j8rPZSLKMN6k9mS98iqvrEIxTwVCkzutuaMiYV6FF2n3gAA/Png2oF/y5BQXMX7qU9Kwsnv2//6Nzu3bNXMMTy4ffhXDdihi6j/Ry88gCkoIwVh5gbf4SlucsZHjMZKKMohfkiURRFL6eM5v5X39csWz0Gecx5doZNeZXsWccZOJd12PLzaY0Jg7JasWHj9krruJA0WZCjFE8Pe4PYm1Hf5/u2ww7L1CfP+mHW0V0JTQh8XVrRD6fj48//piQkBDOPvtsAGw2G+eccw6ffPIJv//+O+NFa3L9abXw7rvNXYsTyp8fpZGVq2W7Q4+b4DWhnJE0lXhzW4xakfDnRJZzKI2X7r+F7IyDAFhsdm5++AU69+xXr+0pwEtdLBQkdAdPMXnsQeuUSJg5HcvmVQAUTb6U7IffQLHZMQFffql29klJCdKHElqUPQcO8Mirrx61/IxTTmHssGHNUKMTW16hFu/VGtZPNrFppzFowfzvh77hz6zv8Mp+LmhzW1C2KbR8siwz9/Xn+OvnryuWXXjtDMafe0mN6x0ZyBe07cCv736BKyqGX7Y+z668lVj0ITw1biHJoV2OWvdHO2w8V31+yTa4V3TuEZqYaBZuRD/88AM5OTlccMEFmEyH+9tMnToVONxqL9TB2rXwwQfgdsOhQ81dmxOSJIFGH9xtxpgSGRV3Dp1D6he0Ca1ffk4Wz919Q0UgHx4Vw93Pv13vQB7gh44J7GrbHUkOcNFf33Km3A7ZYsOb3IGAxcahZz/iqzM/Yck6OxoNJCZC584ikD+eTRgxAmXHjopH7ooV/PD662zeuZPhF1/Mvxs2NHcVTyg3XFzI4BEuACyB4CVV3Va0BoDuoaLX3olCDgT44KXHKgJ5SZK4/JZ76xzIz5vzJa6oGHWbBJDQMGPoHDpE9D1q3T+s8HrZpD73BOBTEcgLzUC0zDei8mC9PHgvd+qpp5KYmMgPP/xAfn4+ERERzVG91icQUOeRX70aNm+Ga69t7hqdcL602XgpJpw+eR7OySgJ6ra9ATGu8URVWlLErPv/R352JgDxKe247fFXiIw5OsFQbS1LiOTnDgkA3L8pk8ulUeobkkT2A7PJv+sZDkop3HkWFBfDN99Ax44N/ihCKxMZHs6Zp56KxWxm3LRpPDBrFgtFTpsmYzEreM1qLy9LIDhjt4p9BRxyq5nL29m6B2WbQsumKApz33ieZQt/BkDSaLjqjpkMPbXmHDy2zIyjAnl3ZHTF++d2v5szOl9H+4heR627wgQvlBW93gdPBrmRQxBqS7TMN5KDBw+yYMECAEaNGoUkSRUPrVZLeno6Ho+HTz75pJlr2oq89ZYayIeEwDnnNHdtTjgvfxjGI39EsiLMTJolePcBfz/0Nd8ffI80576gbVNoPTxuF7MfmkHGAfXvHx2fyJ1Pv96gQH5HuI0PeqjN6xfvOsR1Py0g7qlbIOBXM9pFReFPSCEiAk4/Hfr1g4ki7+IJbXDv3gCs2rSpmWty4ikuyx0UrJb5ncUbAYgztcGiswdlm0LLtuCbTypa5LVaLdff99QxA3kAd1g4mb0HVHStPzKQB7DqrVUG8pk6eDwKZAl6rIPX9ARx4KEg1I1omW8kH3zwAbIsM2LECLp0OXqMjd/v58MPP2TOnDnccsstzVDDViYzU014B3D77RAdXXN5IegWLrOwNUlNHhMWxGnpfkh7n10lm5je8VGGRJ0etO0KLZ/f7+eNJ+5hzzY1gAoJj2DGE68SGhFV721mWoy81rcDskaLYdsPTPt4OYnPPI8kB3CfNJLC6f9XUdZohJdeUu8PGsVcwCe0guJiQB1zKzSd974OIet/OjCA2R+clvmdxepQCdEqf2JYveR3vnr3lYrXV8x4kAEjxtRqXb/JzOKZz6HTa/FbrACkF+/g0w0PcmXfZ+ibMKLK9eL80PYz2B0BU3eDRowQFJqRCOYbgaIovP/++0iSxIcffkj79u2rLLdz506WL1/O6tWrGThwYBPXspW5/Xa1L2yfPnDhhc1dmxPSXdML2Ndbz1aMhPuCE8wrisLImMlYdaF0DRH/AycSRVH4cNbjbF61DFDn/73t8VeISUiq9zYDErzZtwNOgx4OLif+21s5+YU0JDlA8RkXU3jFbQBkZEBCghrAx8aKaecEeLGsa/3IQYOauSYnluffC6d0RnBb5neUrAcgxdo1KNsTWq5dWzbw7nMzK16fdfm1DBs76ZjrRe7eQV77TupJIDSEI9MufrHpUXbmreCnnS/RP3Fktdv4fCjs3gDn/a8hn0AQGk4E843gzz//ZN++fYwaNaraQB5g2rRpLF++nDlz5ohgvia//w5z54JGAw89pGaxF5rcyEEubAnqxVaYNzgXXZIkcUGb6xkbfwkOvyso2xRah4Xfza2YR16nN3Dzwy+Q0uHoXkx18XdiNGl2Czjz4Iuz+eCDQkzeAMWnX0jmc5+ARsOBA3D22Wr3+jlzRCB/ojlyajqA/KIi/lm7lrVbthAeGsozd97ZjLU78Uwa52CbWe0WYw3CmHlFUY5ome/R4O0JLVdW+gFeffgO/D4vAMPGncEZl0w/5npRO7dyxh3TSRswlL+ef4v/Nk1c2e85vt36NDcNrjzrhRfQo3anjwhAtAkGXBCUjyIIDSKC+UZQnvjuyiuvrLHclClTuPXWW5k7dy4vvvgiZrOYX7tKDz+s/pw6FXr2bNaqnOgydeohIyKI3ewBPLI3qNsTWrbtG9bw9RHdIqff9Shdeg9o8Hb7ZBfwnbIWx4HfuWp5AaN3+3AMG0vmsx+rNwOBpUvB6YT0dLBYGrxLoZX579R0RoOBpLg4brj4Yu659lpSEhKasXYnnnvvyOd51CTA5iC0zOd6Minw5qBBS7KlYTcHhZbL43bx2qP/h6OkCIDu/Qcz9db7kY5xd9ZYXMiYx+9B6/OhGI0ErEefBKKsSTw0+ms0msMNRzLwdAyYA9DjZbjmHIipfycyQQgqEcw3gs8++4zPPvvsmOVCQkJwOp1NUKNW7p574I034Oqrm7smJ6xdqXoyc7Vkd1BPbsHqZr8y90/aWbvjV0Tz6IkiPyeLt568F1lWv0MTp1zJwJNPDcq2D2YtxrHkNqw+iWd/VXD1GEjGq9+BwVBR5pJLYPBg6NIFdOIMeMJom5SEsmNHc1dD+I/y5HeGgIwuCEPmd5aorfJJ1o4YtaZjlBZaI0VR+GT202Ts3wtAQko7rr//aXTHOqArCiNmPYE9+xBFSSksefylSl2zPH4XRp0Zm95aKZAH+CgclllBG4A/voOl36v5mAWhJRDZ7IWW74wz1Ez2MTHNXZMT1nvfhDLyuhTcWvWQER6EbvYlvkJmbpzG5ctPosRX0ODtCS2fz+vlzSfuoaRI/Xt37z+Ys6deH7Tt/5aujnu+2HQalvYDSX/3VxSrrVIZSYKxY6GGEVCCIDQBRYFSSYNGUYLSxR5gR/F6ANpaxYTfx6u/f/ue5X/MA8BotnDjg89i+c9xviptl/5J22WLCOh0/PnC2/jsIRXvBWQ/j/51Gm+uuhGvv7TSen9Y4fMw9fmFCyHuEEyeLIZoCS2HaJcQWj6vV+0XKzQbs1EmoY+PDPRY/DImueEXXhsLV6CgkGhuj10fHoRaCi3d52++wN7tmwGIjInn2nseRxOEHBh7Q60EDv7DztIN6CQdU4c/y8ELelS62po/HwYNgs6dQS/mAxaEZvfvBhOnTE2ib0cPz76Wgz8IzUvl4+XbiGD+uLR/13Y+e/35itdX3HY/ccltj7meobSEoa8/B8DGK28gv0vlmQ5Wpv9IlmMfTl8RVmNYxfLdBphVNrnK1flwV3t4ZiVERjb4owhC0IhgXmi5vv8e1qxR55S3Hfuuq9B4Hro5n2FaF+NIDtp4+Q0FahbzLqENHysttHz//jWfxfO+BUBvMHLjg89iCwlr8HY3RYXw8oDOhIdlwFY4K+Y8YhMqB/K7d6sTYlitsGkTREQ0eLeCIDRQboEWt0eD3y9hUBT8DZypW1ZkdpWo01yK5HfHH0dJMW88cXdFwrsxZ07hpFHja7XuoDmzsRTkUZjSjg3XVE4/LysBftmhJsU8t/vtmPXq9aZbgmeiwaeBkaVwZ656WomPF0O0hJZFfB2FluuFF9RsVQ4HXB+8rrhC/VjcCuemlaBXgtMdcmPBCgA620Uwf7zLzczgk9lPVby+7Oa7adOp4dNGBST4oksyAAX565AUuCn84qP6P/p80KGD+khObvBuBUEIgnHDnez7Yy+p6XrkIHRZ9is+Lml7C1uL1pFg7tDwDQothqIofPDSY+RmZgDQvmtPLrzm1lqvv2vsJGK3bmDZQ88QMFbOpbA6/RcyS/dgNYRxZtfDgf5bEXDQAFF+uGwhrHGqQ7REIC+0NOIrKbRMW7eqgbxWq7bMC82uU4mPp9JySTPp8DWwO2ShN49Ux3YAuoT0D0LthJYqEPDz7rMP4XI6ABh8ymkMHz85KNtelhBFps2MoTgH75LHODszhsSLjt52t26wYAHY7UHZrSAIQWA0KLRN8qMokErDx74YNEbOS7mW0Z5CXAFPEGootBR///YD65YtAsBqD+W6+55CV4fxUtk9+vDdF/NRTMZKy2VF5pedaqv82V1vwWpQx9H/Y4FfQ0BS4NlDMOth2LgRXnkF/ifmlRdaGJEAT2iZ3nlH/XnqqRAb27x1OcF9u8BG/3NSeO5ddVx7MFpQNhWqrfLJlo5ivPxxbt7n77N7qzqONSo2gUtvvjso2/VpJH7soE4j5lv2JHiKueLcuRVT0B1JkiAhAcLFV00QWpR3Q0IYOziJOW1Djl24lnyKL2jbEppfVvoBPn/zhYrX025/kMiYuFqtqy+7iYzVelQgD7D+0ALSi3dg1tk4u9ttAORoD4+Tv7IABhZC9+4QGgoXXtiQTyIIjUME80LL43bDhx+qz88/v3nrInAoR8u6rSY27TSgoHZtbqitRWsA6Cxa5Y9re7Zu5KdP5wCg0WiZfvejtco6XBuLkqMpMBuIOnSQqMVvMMI8iG5tx1Qqs3w5/PSTOlZedI0UhJblxz+sfLPFxl6bgSJ9wxNhrs5bzIHS3XgD/iDUTmgJ/H4/7zzzIF6PG4CRp59D36GjarWuNTuTKVMn0/vrj6CK+eQB/tz7AQBndLkRu1G92+vQQIgM3dxwey4YjfDII7Bvn2hbElomcXkjtDzffAMFBZCUBCNGNHdtTniTRjlIei2d7ZEGNoUY0MkK5gZmsz+ccbj7MUoKrZXLUco7zz5YMZ/8GZdcTcfufYKybbdWw7x2asvMUw8+wgjlKrKn3FepjKKoaTc2bVInxLj33qDsWhCEIPnguxB+G2+DU8EcaNh0p37Zx2ObrsEju3m8z1fEmdsGp5JCs/r503dI3bkVgNjEFKZcN6PW6/b/+C2MpSUkrl3Jxirmkct2pLI9dxkSEmd0ubFieVsfzDkIJsBQtsxuFz27hJZLtMwLLc8ctSWP889Xx8wLzaptkp+zxjr45PQQLhiayMawo7uq1UVACbC7RJ2eTMwFfPz64q2XKpIVdezeh0kXTwvathe2jaXEaKDTzp2c/8cinDc8QpwlqVIZvx/GjIHERJg+PWi7FgQhSE4e6KJddzUzubmB88wX+fJpZ+tOqD6SGFNKMKonNLNdm9fzyxcfAKDVarnm7scwmsy1WjcsdQ8dy+aiXz3jvionhf9n/1cA9Ik7lVhbm4rlOiDFD/F+WLwYMjNFIC+0bCKYF1oWRVGvvmNjYdKk5q6NcIQcg3pjJbyBU9MddOzGI7swaS3EmdscewWh1dnw798sXfAjACaLlavvegStNjgdwUr1Wua3VVvlJ/71A9vvfhyL/ehJf/V6uPFG2LULoqODsmtBEIJoxpWFDBiqJqqzNLBlPtIYy6yB3zN70O9oJHFp29q5nQ7mPDcTRVa/F2defh1tO9e+J9/AD15HI8vsO2UCOb36HfV+QPbzz4EvAZjY+RoUILus7SjCD1rA5YIZM+CUU2DHjoZ+IkFoPOKIJ7QskgQff6ymDRVzSLUIu1L1/LHCTJ6+PJhv2EXXzpKNgNoqr5FEz4vjTWlxIR/NeqLi9ZRrZxAdlxi07S9KjsGt05JYUMDLmXdzXsk9+OWqE17ZbGCuXUOOIAjNoLgsYaWlgS3z5QJKw85PQsvwxdsvkZul9uzq1LMfp18wtdbrxmzdQJsVS5A1GtbcUnXC1S3Ziyl0Z2E3RDAk+Sx+s8H0JPjVBtayr2JurjoTSkoK9OrV4I8kCI1GBPNCy+RyVdktSmh673wZytgZyfi16t8jzNewlvldxWow30Z0sT8uffbacxQV5AHQa9BwRkw4M6jbv/KHeVyxcQ+nrPsDm85Op9AeGLSVh358+KE6u2VERFB3LQhCkCiK+igpC+YbOmY+IPvxywERzB8HNv67lL9/+wEAo9nCVXfORFPbIZeKwqD3XgNg1+TzKWrXscpif+//AoAx7S+j2GDknUjwasBwxD2l5GT47DNYt67KSVIEocUQCfCEliUtDeLjwSPmiG0poiMCdBjsZQ8GQnwB9A1sQLHobEQbE0UwfxxaveR3Vi5eAIDFFsIVt92PFMSbcmH79zL57hsY/Vo7Vr/7NZecuhrrf8ZQ7tsHTz2lPt+7F9q2DdruBUEIksJiDfEj2hNYK0EPsPjrH4QHZD/n/d2TKGM8d3R7Q0x32oqVFhfy4azHK17XtWdX2IF9RG/fhN9gZO2Nd1Rb7pR2l2PQGjmt0zXMjgSnBnq4YVph5XJWK4SF1fFDCEITE8G80HJ4vdC5s9o39uuvIa5284gKjev/phfQz+xmHMlENHC8PMC0DndzUdvbyHUXBKF2QktRVJDHJ68+XfH60pvuIiwyuIPVT3pnFho5gDspBb8thAhTKOHmys3vOt3hdBsikBeElimvUIvHq0GyqHeHG5IAL8O1H3fASY47A6suNFhVFJqYoih8MvuZip5dvU8awcmnnVWnbRS2ac83735FVEYaztj4ast1jzmZEW3OYlWYlX+toFPgmUx1rDzAnj1qy3xISH0/jSA0HRHMCy3H2rVq93qzGWJimrs2whEOlSUvi2jgePlyPtkX1BZboXkpisLHrzxFaXERAANGjOGk0eODtv2lCZFk+Uq5dNNaZJ2OP66/gghFwWo4es765GR49VV1ZktBEFqmtok+Uv/cS+/4NhSjbVACvP2OnQAkmNuJ5Het2MpFC1j99+8AWO2hTL21fj27Stp1oqTvgBrLaCQNAYOFN8vuBV+bB53UiRWQZbjmGnA6YcECGDiwzlUQhCYlgnmh5fj7b/XnwIFigFILk1kWzDd0vLw74MKoMeGtJmGZ0Dqt+PNX1i9fDIA9NJzLbr4naDdrDtrNfNq9DT6tho+mTmVIqYMr915DTEYiX5+2kght1FHrhIWJWS0FoSXT6aBNop8rsotJ1+galFj1gGMXAAmW9sGqntDECnKz+fS1ZyteX/a/uwmLPPrYXi1FIST9AMXJbdTendXYV7CB1ek/M6HjVXzTNpECHbTxwg1HdBTMyFCnNvX7oXvtE+gLQrMREZPQcixZov7s37956yFU8vDsSF5dqHZdbGgm+zd3zmTK0r78kfl1MKomtAAFudnMfeP5iteX33Iv9rDgjFl1aTW82acDPq2G0+fNY+qXX/P+xPb4ZC9mnYVww+Ep6RQFvvoKCgrAbg/K7gVBaGR37i3gnh35hDZgzHx5y3ycuV2wqiU0IVmWef/FR3GWFgNw0qjxDBo5rk7bSP73by6Yfj4nv/QEaKsPbRbt+5j5u9/is/zfmFd2nng0q3Liu6Qk+OsvtX3JYqnzxxGEJida5oWWQZZh6VL1uejT1KJs2G7kwCAD0PCW+T2lWyn2FWDWimjreKAoCh+9/CTO0hIABp8ygf7DTwna9ue1jyfLaiLp4EE+vvxy9l39P37L/QmA89pPq9T6v2kTPPAAPPMMZGWJKekEoSVbttbE6s0mEmJ8JPf0N2hbR3azF1qfRT9/zda1/wIQFhnNJTffVbcNKAp9574HgDsmtsaifePG4Qq4SR95B4oEZxbDENfR5axWdVo6QWgNRDAvtAybN0NhoTiCtkB3TMtnfHYpyncQFt+wYP6FAd+wrWgDZm3ksQsLLd4/C39i06p/AAgNj+TiG/8vaNsuNOr5o42aO+OpZ17AaAtl+YRhbF/+KFpJy5ltL6tU3uNR5wLu1UsE8oLQ0v28yMpTb0Uy9ewibuhZWO/tBGQ/6c69ACSYRTf71ubQwVS+nvNKxetpd8zEZq9bEsPEtf8Ss2MLfqOJTVdeV2PZfgkTSO52ETPNVkICcG925fe9XjAYROI7oXURwbzQMpSPlx8wQB1MJ7QYIwa6GeT1sOOQnkO+hg1ENmiMtLV2p8TvCFLthOaSn5PJF2++WPF66m331/kirCY/dYjHq9XSNa+YqHEXsvKMS1ma9xUAJ0WPJspcuQVm0CD46ScxCYYgtAY9O3k5+4IStKcpbAoxkuKqXx6VDNd+fIoXo8ZMpLH67OVCy+P3+5nz7EN4y6YiHnPmFHr0H1zn7ZS3ym8/5yLcEcceZ98jYOC9NHBrIOI/oztuuw0OHYLZs2HMmDpXRRCahYiahJZhyBD4v/+D6OBOZSUEh6JAIEjJ50Xyu9ZPHeP4GC6nelNm2Lgz6DP45KBtP9Ni5O9E9VgwfdM+pNAwfGYzy7arc9hPSDm/yvVCQ8FoDFo1BEFoJJdMLiH+PD9j2ibzu9PHO2sy67Udkcm+9fpl7hxSd20DIC6pDedddXOdtxG3aS1xm9cR0OvZNO3Gasv5ZR8L97zLSQlnkBSSTFcP2P4zG6LXC8uXq1nsI0XnQaEVEcG80DIMGAA9esCBA81dE+E/Nmw3UFSiQbYBDQiUPtn3EnmeTAZFTiTF2jVo9ROa3p8/fsm2dSsBCI+K4aLrbg/q9r/vmIiskRi9eh390rPxdexMrjuTHUUbkJAYm3R2pfLLl8NJJ4mukYLQmhSV5WC2BCH5nchk37rs2bqRX+a+D4BWq2X6XY9iNJnqvJ2+n80BYOeZF+CMrb5b1s7cFXyz5SkW7n6H787PxKYc3cvQYIA//oCNG6F37zpXRRCajbiNKbQcriqykAjN7tJn4xgVm8JdHaJRjl28WkuyfuLXjLkUenODVjeh6WXs38s3771a8Xra7Q9hsQUvoWFqiIXV8RFIsswr06bS4+0XAFiWpbbK9448iWjz4Yu2LVvgyivhtNMg0LCUDoIgNKHCspZ0S6D+Z5byaelEJvvWw1FSzFtP348sqwfsMy6ZTtvOdZ8DzpyXS9Su7cgaLRuvuqnGsmsy5kGH8XQcfD82qh8uGBEB06ZBkGZWFYQmIVrmhea3ejXk5UE7cTJuiUK7KjAWdjgMSAXHLl8Vp7+Ug849ALSxigSHrZXf5+PdZx/C51XHOI49+yK612OMY00iXV5O37qb+OWL6bV5M8vfewyAZVnzAZiQXLmLfUaGegE2eDDo9UGtiiAIjaTtmHYUXKSB58EcaHjLfKJIftcqKIrCh7MeJz9bHVbRqUdfJl50Zb225YqMYu4nvxCTvo/SxORqy8lKgLUZv8EVv7E2YSC/ZMGlRVWXNRrFeURofUTLvND8Xn1VbVabNau5ayJU4YGH8wCIUerf7Lm7ZDMKCpHGOEINYjBaa/Xjp+9wYM8OABJS2nHutJpbQ+rD7vPz6i238u706WQPGUVx9z4UewvYWKB26x+ffG6l8uPGqd3sX321qq0JgtDSKAqkZeooLmshrW/L/JGZ7ONFy3yrsOjnr1n7z18AWO2hXHPPY2i19W9XDISEcGj46BrL7MxdSUloLCQMRKsonF56dJmNG+GOOw7PkCwIrYkI5oXmd2Qme6HFySqbXSDMW/9gfmfJBgDaWXsEpU5C09u1ZQO/fvkhAFqdjul3PYbBWPcxjscSkn6Adn/9hgTsufY2AP7N+RNZCdAptCfJtqNb4KKjISYm6FURBKGR7Fm4j8suV5tH69syL0kaXh74I7d0eU5ksm8FDu7dyRdvz6p4Pe32B4mIrt/0I/aMNPWukOXY85CuzfgV+lwBwMkOiYgqLmV++w1+/ll9CEJrI7rZC80rLw/2qnfW6deveesiVKlU0/BxjbuKNwGQYu0SlDoJTctZWsKcZx9CkdWL7rMuu5aUjsH9W/okCb2iMODTOUiyTPbQ0RR37wMcHi8/LumcSusUFEB4ONiDN2RfEIRGJknQJtGP1a6eU8z1PLdoJA3t7d0JNSTgCniCWUUhyNwuJ289eR9+nxeAU8+aQt+ho+q1La3bzZm3XokrIpL5b36KIz6x2rKyIrM6cz6c8yQAF1TTvX7iRNBo4PyqJ0oRhBZNBPNC89qhdtklIQFstuati1Cld34MgekgNyA/YapjOwBJls5BqpXQVBRF4YOXHiM3KwOAjt37cNoFU4O+n0+7p5Ct19DVU0R7DrfKA3QI6U6aY2+l8fIOB5xyCnTpAr//LqYSEoTWpljT8Gz2AD7FH4zqCI1EURQ+mvUEmWn7AUjp0IXzr76l3tvr+Oc8TCVFeO12nDE1t+zvyV9DcWIfsMcT6lcY6ag6s13PnjBihOjhJbROIpgXmld5MN9eJK9pqbalGQDQ+urXeuKTvaSVjWtMtHQIWr2EpvHnj19WjHG02EK45u7H0GirzwZcHyV6HSviI/FrNWQNGk6W1kJxt8NzA13W8VZu6fUIIcbDc89t2AAeDxQVqQnwBEFoHXbs1fPb31b2TNVDbP17fc1L/xR3wEU7W3+iTdW3zgrN67evPmLlYrV3ldFs4br7nkRvMNRvY4pCj+8/B2DrJVehHONctCZjHvRVu9hPKpGoaa9Wa/2qJAjNTYyZF5pXeTDftm2zVkOo3unjHQDYdPW74Ep37iOg+DFrbUQYYoNZNaGRpe7cypfvzKp4fdWdM4mMDf7Y1EXJ0fi1GjoWlGA55RzWP/PmUWWsBivSEfMFDRsGS5bARx+JaYQEoTVZscHMbU/GsCtfDa0s9Rwz/2Pah7y9+1EOufYFs3pCEG1c+Q/fvv9axevpdz1KbGJKvbeXuPZfwg/sw2uxsvPsKTWWVRSF1Xn/QNezATivuOpyX30Fu3aB+djD7wWhRRIt80LzKg/m27Rp3noI1erS1QeASVu/C65Uh/o3TrJ0rBSMCS2bs7SEN5+8l4Bf7cI67txL6DtkZND345MkFqVEA3DurnSkEHtFdO6TvazNXcqQ2FPQaY4+XbVpA0lJQa+SIAiNKDnOx5SJxUTNDXCa7MBTz9PCyJgziCtJIcnSMbgVFIIi82Aq7zx9P4qiNgScdfl19KvnOPlyPb6fC8CuyRfgs9WcLCWteDuF7U8GnYn2bpkenqPbL3Ny4MEH1Vx66enqiE9BaG1EMC80r4cfhkmTILn6OUKF5uUuC6z0cv1a5lNL1fHyiRYxlKK1KJ8LODdTHSffvmtPzpt2c6Psa3VcOEVGA7E5uZzxzzKcw06peG9j/r/MXDudZGsHFk7eddTNIJH4ThBanzFDXYwZ6mL3fj0Op0SmqX7Ddi5pdwvFvlKKfY4g11BoKKejlFcfuROXU/3bDBgxhkkXX9WgbYYeTCV51TIUSWLLpcfe1qasP2Cw2sX+vBINVd0zKimB0aPVIVsikBdaKxHMC82rTx9o1w4yM5u7JkIV/H6wH5AZ4nKS7KxfkqHylvl4swjmW4tfPn+fNUv/BMBis3PtPU+g0+uDvh8FWNhWHXpx64sv0Pfzr1k2dHRFy3yJr5AoYxwnxYyqFMjPmAF6PTz5JISGBr1agiA0MkUBWQa5gek3fLJIftfS+Lxe3nj87oqEd4ltOzLtjploNA0b2dt+kTru/sCIUyhJaXvM8hsz/4RNJfTQRDLZ27XqbbaHt94SaZuE1k0E80Lz8/mauwZCNQqLNTw5VE0T/tCivHpl2dhfqgbziWaR/K41WLP0T77/8I2K11fdMZOouMZpstgVbuNAiBWTy8W1b79N6s33VhoAPzp+MqcmnE2U7XCq+oICWLBAvdH0zDONUi1BEBpZoGyu7/pOeHrItR+dpMevBP8mo1B/gYCfd555gG3rVgJgtYdy88PPYzJbGrztdZddQ1bv/nhqOSzzrG53sCVrETflWYmtYTy80QhBzukqCE1KBPNC89myBRYvVpPfdRRj3lqigCyREOPH51fnYK0rRVE4v8117CreIsY1tgL7d21nznMPVbw+d9pN9Z4L+Fh8GolvOqkD3qd+9BEWjZ5D4yYfVc5qsGLRHU4zHBoKH38M27ap09IJgtC6jL8qkU07jYSvCBBjD3Dz7nzs/rqF9R/seZbF2T9xQcqtTEi4rJFqKtSFLMt89PKTFbOfGIwmbnnkRaLjgjTTgCSRMeIUsNbuxkC36OEMT5lMG8la5V0jp1MN4sVsKEJr1yKy2b/22mu0bdsWk8nE4MGDWblyZY3lZ82aRZcuXTCbzSQnJzNjxgzcbncT1VYImvnz4aab4PXXm7smQjViowKk/72Xdb/sr9f6kiQxKfFyruxwPzZ9WHArJwRVYV4Orz5yB16PB4Chp07k9AuvaLT9fdy9DXvCbYQUF3PXs8+y/5KrUfSHJw4q9OYRUAKYdZWbVDQaGDAAZs5stKoJgtCIcvK1ZJbq2NbeyOJoC9p6NM/vd+wEIN7cLsi1E+pDURS+eudl/lnwEwBanY6bZj5Ph+69j7FmLcgyWrcbNBJY6pZy3qQ1Yajm+/XddzBwIDz6aMOrKAjNqdmD+S+++ILbb7+dmTNnsnbtWvr06cOECRPIzs6usvxnn33GPffcw8yZM9m2bRtz5szhiy++4L777mvimgsNJjLZtwppOh37DTrcmvpnovcrYlxjS+Zxu3j14TsoyFWPux2692bqrfc36uwD4/ZnEVdQyA9nnklKdg5pZ11U6f0XNv0fF/95EsuzFx61rsVSv54igiA0v29mH+KXzw8CICkKpjrOM++XfaQ59wKQIIL5ZqcoCj9+8jYLv/sMAEmj4Zq7H6dH/8FB2X7i2n+5+LJJ9P3ig1rNQyorAb7e8iQfWwpYbgFXNats2wZeL0RHB6WagtBsmv1y6MUXX+Saa65h2rRpdO/enTfffBOLxcJ7771XZflly5YxfPhwLrnkEtq2bcv48eO5+OKLj9maL7RAYo75VuHyuDiG92/DvxGmOq+7o3g9O4o3UOoraYSaCcHg9bh59eE7SN21DYCImDhueug59AbDMdZsmPZFDtafPJrRixdz4NzLCFhth+sU8LAxbwXFvgKSbIczEy1aBG++KfJlCkJr1j7ZR0JHddC8OaDU+UI0252OX/Gh1xiJMMYFv4JCrcmBAJ++9gw/ffpuxbKpt9zHwJNPDdo+uv/4JcbSYozO2s1asCd/Lb/t/5TFnXrzWLwWdzVfsMceU88pV18dtKoKQrNo1mDe6/WyZs0axo4dW7FMo9EwduxYli9fXuU6w4YNY82aNRXB+969e5k3bx4TJ06sdj8ej4fi4uJKD6EF2K5OWUY7cWe9pdq9X8+mVCMA+np0hfxwz3Pcunoyy3N/C3LNhGDweb28/vjdbFu/CgCzxcr/Hn6RkLDGHUSok2WiSp0UDByBIyGFA1OurPT+xvx/8chuYkwJdA7tWbH8q6/gpZfgp58atXpCIxLnYwGgWFIvP61+uc7rprv2ARBrSkYjNXub1AnL63HzxhP3sOjnbyqWTbluBiefdlbQ9mHPSCN51T8AbLvoylqtY9bZ6dn3DgDifBARqLqcJEH37mJKOqH1a9YEeLm5uQQCAWJjYystj42NZXt5oPcfl1xyCbm5uYwYMQJFUfD7/Vx//fU1drN/6qmneOSRR4Jad6GBioogK0t9LuYEabGy87TkRappXg31mGferg8nTB8lMtm3QH6/n7eeuo/Nq5YBYDRbuO2J2SS379Qo+5OBbzonkVLs5PR9h9BqtOyfPIX9V92sphM+wurcRQCcHH9apa7+48apU1qdfXajVFFoAuJ8LHz4XQjrYgzQDSx17GIPkOFMBSDGlBzkmgm1VVpSxKsz72D31g0AaLVarpzxEEPHVt+wVh/dfv4KSVE4OHQUxW1q1/CTFNqV7h1PYjPQw1NzWUvDk+wLQrNrdbc0Fy1axJNPPsnrr7/O2rVr+fbbb/nll1947LHHql3n3nvvpaioqOJx8ODBJqyxUKXyLvaxsWCz1VxWaDZtE33EJanj3fX1CObv7fkq7w5dSjtbj2BXTWiAQMDPu888yPrliwE16/Ctj82iQ7dejbbPHIuR+e3i+KBn28M3hozGowJ5gFU5iwAYnTip0vKzz1Zb5/v2bbRqCo1MnI+FGU9F8/J3au8fS6DuLfMZrlQAYoxJwayWUEv7d23nqduuqgjkjWYLtzw6K+iBvM7tonNZQr2tl15Vp3UPWtVhgb1dVb//4ovwxBOQmtqQGgpCy9CsLfNRUVFotVqyyltoy2RlZREXV/U4qAcffJDLL7+c6dOnA9CrVy8cDgfXXnst999/P5oqsiIZjUaMVVwwCs2oPJgXrfItWkJsAEuYerFVn2AewCf7GzWRmlA3bqeDt59+gI0rlwKg0xv438Mv0Llnv0bd7/4QtQmkbZGDdr9+i99qI/OM846aMSjDuZ90ZypaScewuLFHbcdqPWqR0IqI87Fw+skONg0ysAlTPYN5dXaVaJMI5puSLMss+OZTvvvwdQJ+9Sa/PSyC2x57mTadugZ9fx3++BVjaQlFSSmkDavdFKmpBRuQUdjXTb0R3LOKlnlFgW++gdxcMV5eOD40azBvMBgYMGAAf/zxB2eX9ZuUZZk//viDm2++ucp1nE7nUQG7Vqt2A1aU+gUbQjM480z4+2/IyGjumgjH4CkLxOsazAeUAFpJi08WmexbivycLGbPnMHBvbuAsumDHnqWbv1OavR9p4aoUXiX3AI6ffY2eqcDX5t25A4bXanc6hy1t0DfyCHY9CGAevG1eDGMGAGNnJdPEIRG9ukLmbxgDONOTFjqOL88QIZTHTMvutk3nYLcbOY8P5Pt61dXLGvTqRvX3/ck0fGNc1Ol289fA2Vj5Ws5fcmP22exsXA1jC4EoEcVs1bLMtx/P2zcCCc1/qlPEBpdswbzALfffjtXXHEFAwcO5KSTTmLWrFk4HA6mTZsGwNSpU0lMTOSpp54CYPLkybz44ov069ePwYMHs3v3bh588EEmT55cEdQLrUBoKAwfDrt2NXdNhBoUl2pwKupJ1FDHm2Wv73yQf3P/YHLSNQyPntwY1RPqIHXXNmbPvJ2i/FwALDY7Nz74LF37DGyS/e8PVVvmBy9dit7poDS5LblDRh5VblXZePlRR3Sx374drrsOwsPVVBt6fZNUWRCERlJSFpyZ6zhmPiD7yXSrQzNEMN/4vB43f/z4JfM+fx+XoxQASZKYcMHlnH359ega8WD85/1P0XXBT+w684JalfcF3GzP/QeShwKQ6IPwKjp+aLUwcSJccw2Y6j5JjyC0OM0ezE+ZMoWcnBweeughMjMz6du3L7/99ltFUrwDBw5Uaol/4IEHkCSJBx54gPT0dKKjo5k8eTJPPPFEc30Eob683uaugXAMvyyyUtBJC4a6t8ynlu4g13MInSQir+akKAorF83nw1lP4PWozRTR8Ync8ugs4pPbNkkdZGB/Wcv8uI/nALD/oquOam0pn5IOYFT84fGXubmQlAR9+ohAXhCOBykeP6dkO+joqNt1QLYnnYDiRy8ZCDfENFLthEDAz/Lf5/HDx29RkJtdsTw8Koar/++RJrkJXJzUhpX/NxP0tQtVduatxBtwY24zBhfQvYpW+SOZzQ2voyC0BM0ezAPcfPPN1XarX7RoUaXXOp2OmTNnMnPmzCaomdAoAgG45x5IToYxY0S/2RZMkgCTAkgY6jC0UVEUUh1qXoQEkcm+2ZQUFvDJq0+zZumfFcs6dO/NzQ89jz0svMnqkW0x4tZpMfh8DPh7MV57KBmTzjuq3JFT0nUJO5yM7+ST4c8/1XyZgiC0XsWlGnpMaoNOCz+9mUZ6aN0uQ9PLM9mbxbR0jaG0uJAVf/7Gol++IfNgasVySaNh2NhJXHDNrdjsoU1TGYOh1oE8wOYsdYhWSLvxuIDeVQTzigI//wxDh0LnzkGqpyA0sxYRzAsnmAMH4Pnn1QP1+vXNXRuhBhdMKuFifTxQt5b5XE8mDn8xWklHvLltI9VOqMm6ZYv46OUnKSkqqFg29NSJTL31PvSGpk1Atj9UbZXvvWUrukCAPedcgmw6ullkTa56MTYifsJRSRNtNggJafy6CoLQeDxeibRMtXuNph4jI7PKu9gbRRf7YPF5PWzfsJp/FvzM+hWL8ft8ld7vM/hkzp12I4ltOzZJfXp/8QFRu7az8eobyY0YVOv1tmQvAiBBF4HfD72qCOZTU+HOO9VJVAoLRTd74fgggnmh6ZVnsm/bVh28JLRYErAgLY2tBXqsdcg6vL+sVT7O3AadRvSLbkrpqbv5/qO3WLdsUcUyW0gol918DwNHHp0dvimkhpSPl/8bWafj4AVTqyy3Jk/NsD8q4XAXe5dL7Q4pZrAUhNYvzB5g9Tf7ycrTQj1O/5MSL2NkzBnsdxwIfuVOAIqiUFyYT0bqHnZsWsvOTWvZu33zUQE8QKcefTln2o2NPtPJkaSAn+4/fYU1N5vUiWeR2692wXy+M4OMkl1IaLivJIIEN0QGji5XUqJObRoWJgJ54fghgnmh6Ylp6VoNDTDO6SS8wEheHbo07ivdDkCi6GLfZDIPpvLjp++yavGCSjN79B0ykstvvY/Q8Mhmq1v5ePmuh7I5NPYMPNFH95d3B1wYNEa0kpYhsWMqlt9xB+zdC6+/Dqed1mRVFgShEej1MKCnh5WlRvY7dPg0EsY65mOxakMJMxzfY278fj+u0hIcpcU4HaUEfD4CAT+BQAA54EeRFZSyiT0VRUFRFORAgEDAjxwI4PV4cDlKcJaW4iwtprgwn+xDaWRnpOFxOavdrz00nKFjJzJ83GQS2zb9+Ttl+RKsudm4wiNJHXt6rdfbkr0EgI6RA7AbIzAG1MaI/+rdG774Qlx+CscXEcwLTe/IlnmhRfvxDyvf/W6jTRcfQ0931Xq98pb5BEu7xqqagHrBt3XNCpb98Qtrlv6JIh/uPREaHsl5V/+PoadOPKrLelOLcbopMOnRjb+ALaddUmUZk9bMq8N+xKTXE2aMAMDvh1WroLhYjJcXhOPJDZ1iWWs3MXNLDkPzj5Gp7D/8HB/TncqyTNq+XRzYvYPM9P1kpx8kK/0AedmZuJ2OJqtHdHwiXXoNoM+Qk+l10gh0uuYLDbr//BUAO865CLkOw8G2ZKtDtAYlTADAWMP9IaMRmvEjCkLQia+z0PREMN9qrNtm5INvQznnzJI6BfMi+V3j8Xm9pO7cyqolv7Nq8YJKY+IBbKFhnH7hFYyedD7GFtKP8Mot+wnx+ggJCUM5xgVajCW+4rlOB3/9BVu3ql0jBUFo3fIKNMxbbCXzKi3YwVKHqekCSoBHN11DlDGBiQnTMWpbXzryvKxDbF69nG3rV7F942pKiwqbbN8ajZaouARiEpKISUimfdeedO7Vn4gqeko1h9AD+0hYvxpZo2H7BZfVej1ZCbA1Rx2ildDxPBwa0FfxtQoE1AlURBZ74Xgjgnmh6ZUH8+1Eq21L1/cUN8MucOKUJKjlNZeiKKQ59wIQbxZ/44bwetzkZmaQnXGQvTu2sGvzevbt2ILfd/R0TrbQMMafcwljzpqCyWxphtpWzVBSRPcfvyLrtHMgJq7KMrIi4wm4CDNFoP1PViybDS68sGxmBUEQWrW9B/VMvTse7WXqCcVSh1wsOe4M/s39HZ2k56ykGxurikEXCPjZuPIfFv38NVvWrKixrFanIyo2AVtoGFZbCBabHYvNjk6vR6vVodVq0Wh1h6dsLjswajSasve0aLU6dHo9FlsIFqsNi82O1R5CeHRcs7a6H0u3n78B4OCIMTjiE2u93r6CDTh9RVj1oXzUrQ/P62HuAej/nw4fCxfCww/DJZfAq68GseKC0Mxa7n+1cHwqLYX0dPW5COZbvDb9AyxrYyHS44eVtVsn15OJO+BEg5ZoY+1PyK2RLMsUF+RRUlSIy1mKy6E+vB4PshxADgTKfqoXrBVjHGWl4v1AwI/f58PtdOB0lOByOHCUFJGXnUlhXk6N+9fpDfQdMpIhY06j58Bh6FrgJOxdf/mWAR+/RcGa5ax87/sqy+wr2c6ty89hSOypzDnl10rv6fVi9kpBOF7YrArjRzj4M1S94Wjx175l3qqzc0uXp8jxZKORWn7yXLfLyR8/fMHiX74hPyfrqPfNVhtdeg+gc6/+JKS0IzYxmYiYOLTaE+/SXO8opdPvPwOw9eIr67RueRf7dn1uZLNevbnR+ej73WzYAAUF6vAtQTienHhHDKF5Wa2QkaEOhA1torlKhXrzlN31r8sc8+llrfIxpqTjKpN9XnYmuzavY+/2LeQcSiMnM53czIwqW8kbU3R8Ip169KVL7wH0GzYai83epPuvC43XS0nGXrJiYsiqJoM9wJaC1fgVH5ojmt/T0+Hpp9WkdzNmNEVtBUFobN06ePltTjpaSycAzHVombfrw5iYeCnZ7ny88tHZ11sKRVFY/ffvfPn2LApysyu9FxWbwPDxk+kxcChtOnY5IQP3qshaHWumXk/ixtVkDDm5TutuyV4CMb3YNX4mAGNKwVbF12rGDJg0Cbp1C0aNBaHlEEcRoWlJEsTHw4AB4Gi6BC9C/WQ71K58ujqMayzvYh9nbtModWoqPq+HDSv+Zt3yxezavK7KlpXGZA+LIDoukeh49ZHYtgOdevQlLDK6SevREG0XL2DyN1/hsNl4Z80+kqtpEZmccjmDokcTYQmrWLZ0KSxYoCa/E8G8IBw/HJKEUnbjri5j5ssFlCrmHGshMg+m8unrz7Ft3eGubJIk0euk4YyedD49BwxBI6bkPUrAZGLruRez9bpb6jSmSlEUUtqdzb5TrsejN9LbBS8cqrqswQBDhkBCQpAqLQgthAjmheZRxZymQsvz2tfh8CA4C2o/LV2acw8AsaaUxqpWo1EUhdSdW1m28Gf+XbQAZ2lxtWUNRiNRcYlExSUQGh6J2WrDbLFhttowGI1otbqK8YuSRkIqnyin7EJFq9MdMQZSi9lixWyzYynbRkvsMl8nioJxwwocNhtmj4eEGro2SpJEh9CuxNoOJ2IaNAhuvVUkvhOE401x2XhvrazUaVq6tfl/o8OARR+NSWttrOrVi6Io/P79XL6eM5vAEf24ew0azkXX305sYus7HzY5s6XOyVEK9To2jbsH2aijkwfeTQdLDV8pkfxOOB6JYF5oWh9+qKamHjgQ+vRp7toIx+AvO0Lo6jCu8byUa+kTNhyk1nXW3L5hNV+/+wqpu7Yd9Z7BaKR911506tmXTj36kti2AyHhkc0+5VtLlrBuJXvi1F4E7Vx+jtUWZdJVzrzfvr06x3xyciNVUBCEJvfrYgs3fRkDC9Xkd3U5gr65cyYHnLuZ0fVVeoQNbrQ61pXf5+Oz159lya/fVyyLjInnohvuoO+QkeI8cQzDXnmK7G692Hv+JdRhRB9OjcRLHaLJNepI8iq8nyYRWs0GFi5Ucy9ffDEMHRqUagtCiyGCeaFpffcd/PADPPSQCOZbgeuuKOIPrMSG+yGtdutEmxIIMUSR4y44duEWID11D1/Pmc2mVf9UWm4wGuk/fAzDxk6ic6/+rb+lvIn1+P5zXrjkfAA6uapvlv9k98vsLdnG9G53Mjx+XKX3LC0nKb8gCEGQV6hlX6Ga0bKu09Idch0A1HwsLUVpSRFvPn4P2zesrlg24bzLOPPy61rM1KAtWeSu7XSb9y1d5v9IxvhJOOvQdL4wykaGSU+418+HaTqiaxh98dNPMH++OspTBPPC8UYE80LTSk1Vfya1nJOxUD13RQK8uo1r9Mstd0xjObfTwZfvvMzf839AkQ/fzk9q14lTz5rCwJNPxWy1NWMNWzFZxhUeyepBgwDo7PBUW3Rp5m+klu7ggo5XVyxbsQKMRjVZkSAIx4/xI5y82C+b24mp07R0eZ5MfIoXraQjwtgy5kXPTNvP7Jm3k5Wu3mTQ6Q1cOeMBhow5vZlr1nr0+H4uAHvHTsQZW/XUpVVxayR+j1KHWjh/vprY7u9CDQl3x4xRzymnntqw+gpCSySCeaFp7d+v/hQZSFqF8mz2+lpec+W4M1h46GvizO3oHHJSI9asYdJTd/PG4/eQmba/YllEdCxnX3EDQ8acfngOX6F+NBqWzHiA1YP7AdDJUXXG/zx3NqmlO5CQGBp7+CrrxRfVaYTefx+uvLIpKiwIQlOIiQwwLbqYhLV+cuowvVyGM1Vd35SEVmr+S9e87Eyev/uGiulD7WER3PzQc3To3ruZa9Z6mPNyab94AQBbpl5Tp3WNssJpm5cxz5hPv5xM9MeYOefss2HaNIhuPfljBaHWmv+IKJw4ioqgsFB9LoL5VmHeSiucCZ7q88BVsqN4Ax/te572th7c17NlBvPLf5/Hx7OfxOtRW4uNZguTLprG2LMvwmAU3SKDZW9kCF6tFnNAJtFddcLLdXlLAega1pdwYyQAsqx23Nm/H8aObbLqCoLQRMJkmUEFHg7otHg0tRtPnu7aB0CMqfmTaDhKinn5gVsqAvnEth245ZGXiIyNb+aatS7dfv4Krd9PZu/+5Pao27BLCZgsteea4hRih39dq3XEqAfheCWCeaHplLfKh4er880LLd6mtUboDvq82pWPMEYzNu58bPrIxq1YPfi8Xua+8TxLfv2uYllSu07c8MDTItNwECWs/Rd3aBhreqldTU8qcFab/G5N7t8AjIgfX7FMo1Fb5qOiICKisWsrCEJT2rbHwLY9Bgx6BUvX2nezz3Cp1w8xxuYdoufzennt0TvJOKDeXIhNTOHOZ97EHhrWrPVqbbQeN13nfQvAlqnX1msbtoCMzWDBZrDXWG7PHrVFvn37eu1GEFo8EcwLTac8mBfj5VuNew357HxWT6cRXmh37PLdQwfSPXQg6a4slLpPH9xo/D4fbz15L+tXLKlYNmLCWVxy452iNT6IpECA4bOfwn4onRsuVbtzjMx3VFlWVmTW56lJB0fETzjq/ZCQxqunIAjN45v5Nh58OYoLTy/hmm6FtV7vUFk3++hmTH4nyzLvvfAwOzetA8AeGs6tj70sAvl66LzgJ8xFhZTEJ7J/9Phjr1AmADi1GvSuQmL8BkzWsGOuc9ddsHkz/PgjTJ5c/zoLQkslgnmh6Yjx8q3OVecX43RJ/FNsqvWUMX450KIC+UDAzzvPPFARyOsNRi69+S5GjD+zmWt2/EleuZSQQ+ns69QZn8mEMSAzoMhVZdl9Jdsp8OZi1lrpHzUMAEWBkhK1VV4nzk6CcNxJjPXT5W4vOyfoWRZpYnC+u1brHe5m33zB/DfvvcqqxQsBMBhN3PLoS8QkiMaJ+iho24GMvoNIPW0ySh0O9qvDLHyYHE7KpjUcWnAZt/V+nKldbqm2fCAArrJTUG+RzkA4TonLJaHp3HADnHWW2udJaDUUBWobm6c59xJqiGnU+tSFHAgw57mHWbP0T0AN5G955EW69WuZ4/lbux7ffw5A8bAxPLM9kwASpmpmQlhb1sV+YPTJGLRGAHbvVg8Rw4bB4sUgpmcWhOPLtPOKWR1j4vWwMLof8NQqmJcVmUPl3exNzTMkavPqZcz/+mMAJI2G6+57knZdejRLXY4Hmb368+vsD8FW+yGXMjAvxo5XoyGnZDcOfwnR5przFGi1MG+eei5JEaPphOOUCOaFpqPVQmLi4dukQouXX6TB7ZbwB9Q/X02KfQVMXzEaraRn9qA/MWiat/u6LMt88NJjrFw0HwCdXs9NDz0rAvlGEr53FwkbViNrtGy7+Ep0CiR7qk58B7AmTw3mT044rWLZunVqS4rBIAJ5QTheFZfNFmLx1+42cZ4nC6/sQSvpiDTWfvqyYHGWlvDhrCcqXl903e30GXxyk9fjuCIBFkudDvTrQ8ykmw2Y/H6Klj6KBg3D4mqXJTU5WZxThOOXmH9JaFq+6i/uhZYnZVs7Ek/qwFuWsGOWTXOqPS7CDJHNHsgDfDNnNst+/wUArU7HDQ88Q8+Bw5q5VsevnmXzBaeOGY8jLgFzDXNIuwMutuSvBiqPl7/wQli0CGbNasyaCoLQnEok9dKzpmPEkTJcqQBEGeObZVq6z998gYLcbAB69B/CmDMvbPI6HC/iNq2l/4dvYHI6QFv7EMSpkZibGAZAz90rwVNEj4gBhBrCj7muJKlzzAvC8UoE80LTufZauO8+KCho7poItRTQS2Cs3Tk3zamOaYwztWnkWh3b+uWLmf/NJwBoNFquu/dJ0ZLSiEwFeXT46zcAfrz1/yjRaqrtXg+wOX8lPsVLrDmJ9vYuld7r0AF69mzU6gqC0Ewenh3Jn1vNAFgCtWuZz3IdBCDamNho9arO+hVLKm4Kmy1WrphxP5Jo4q23PnPfp9/c9+j7+ft1Wu+rhDAKDDpi3T4M/zwPwMnxp9W4jqLAxRfD/fdDTk69qywILZ4I5oWm4XLBO++oc05pxNeutThzYikAMWH+Y5Ytb5mPNTfvwLS87Ezee+HRitdTrptB/+GnNGONjn+h6Qdw20PJ7tGH508dzu09Ethkr753RvmUdMPjxh11YWyxNGpVBUFoRnsP6inRqGO2LLVsmXfLTsxaK1Gmpk2eW1pSxMcvP1nxesr1txMR3fTd/I8XEXt2kLR2BbJGw+ap19R6vc12E39H2gCYsTuTjZl/ADAy4fQa10tLg7Vr4fvvxewowvFNjJkXmkZ5JnubTRxVWxFvWZO8oRbp6dOcewGIMTZfMO/3+3n76ftxlqrTovUfforoEtkEsnr248tPfqbQYiDdbECrKHQt9VRbfl3ZlHRHjpf//HPYuhWuuw5OEfdeBOG49H9X57Oog5mD6DHWsmX+zKQrOSPhCvY70xq5dpXNff15igryAOg1aDjDx4l5zRqi91dqAsF9YydSmli76wSnRuLDJLUr/eTMIgxpKyn1F2PXh9IrYlCN60ZFwdtvQ2kpmJp/5J8gNBoRzAtN48g55kUXtVbDU/a3MtTQZbpcect8XDO2zH//0Rvs2boRgKjYBK6c8aDoEtlE5NBQlrZTW616F7ux19Dq9txJc9lRvI7hceMqlv3yC6xcCaNHi2BeEI5Xvbp40dnU80ltzivlAgTQawyNVa2jbF37L/+WDR2y2OxMvfU+cS5pAFtmOu2W/A7ApqturPV6R3avv/pgAV/lqlPMDok9FZ2m5hDGbIZRo6B9+/rXWxBaA9HfWWgaqanqTzHHfKshy7D5QNnFU/WNrAAElACHnOoNm9hmGjO/efUyfvvyIwC0Wi3X3vckFpu9WepywlAUklb9gyQHwGxhTajaR/7kPEeNq9kNYZze5sJKyYumT4err4YJE2pYURCEVs9VlgDPWIdgXqZ2XfKDQVEUvv3g9YrXF157G+FRLWfK1dao72fvoZEDpA0eQV7X2iVFKdFqWBuq5le4Y28uJlmpGKI16hhd7MvpdOpDEI5n4isuNI3ylnkRzLcaXp/EwWI9ALpjdIfMdqfhU7zoJUOzTB3kdjp4/8XHKl6fd9X/aC/mAG50CetWMuHB28hv34m3f/yL/RYDkqIwrKDmYB7ArDNXej1qFJx/PoQfOzmxIAit1Ir1Jkra1D6Y98oebl19JpGGOKZ1eASj1nzMdRpq/YolpO7cCkBi244MG3tGo+/zeGbPOEinsiSCa2+6s/brBWQe255JqsVA7xI3Jb4idhZtAGBEXM13fT0e+PZbGDoU2rUTHUKF45sI5oWmUR7Mx8c3bz2EWpMkiE3yk4UOs6bmi67y8fKx5mQ00jEmpG8E8774gKL8XAB6DhrGuHMvafI6nIh6fqdOR3do4FD+ilZ7QfQqdhPmr7oVTVZkZq6dTo/wgfyv90PYNJV7Tojkd4JwfLvruSgcKRqiO/hrNTVdjjuDfaXbyNCkNsmUp3IgwPcfvlHx+pwrrkcjkvY2iN9oZsfpZ2MpKSKnd/86rRvrDdDdoSbiXZf3DzIy7exdiLcm17je1q3w8MMQHQ1ZWfWtuSC0DiKYF5rGQXVqGdEy33oYDQpRcQGy0GGSjhXMl42Xb4Yu9tkZaSz49lMAdHo9l9zwf2JsYxMIPZhK8qp/UCSJf6ddz+KybMMXHCqqdp09xVtYlbOILQWrubPf4SzR8+ap09F16tTo1RYEoRl1TPFReKWHG64pIPKkYwfzEYYYHu/zEYfcGU1yXF+1ZCHpqer5rF2XHvQZMrLR93m8c0VGsez2ByE8rM7rmuTD35HVOYsAGBF/7LFYigIjRkBKimiVF45/IpgXmsZff8Hu3eA4dvdboeVw1zIBXnrZHPOx5qYP5r98ZxZ+nw+AcedcQkxCUpPX4UTU89vPADhw8hh+7NMdj1ZDW6eXgUWuateJMSdya48nkTQyeo06hKO4GO64Q83RkJYGiU0/lbQgCE3kvaeycLokNucZKKhF2iazzsrAyNFku/Pxyr5GrZvf7+f7j96qeH3ulTeKG8PBYrPVaVriLIOOaK8f0xFD/Er9xWjQMCbx2LMK9O8P770HHTvWq7aC0KqIYF5oGlotxMWJ/k6tiCzD3Vn57A3oiXXXPM98ect8jKlpM9lvWfsv65cvBiA0IopJF01r0v2fqMz5uXQsGwO56pqb+SNabZWfkl5ITZe+oYYIJqVcQkro4e9Jfj4MGqROHyQCeUE4/ikKdU5nF1ACjVKXIy1b+BM5h9Tp77r2GUi3fic1+j6PZ2H79zLgwzdYd+UN5McNrfV6fgke7xyLTlZ4ZUsG8R71+uOhfm8iaQIk2mvXaGA0ilZ54cQggnmh6fga9666EFw79+m5dmIcIfYAX/6SUWPZdGcqAHFNGMz7/X6+ePOFitfnXXUzJou1yfZ/Iuvx/efofF6yevbjUO8BjMxzsM1mZGT+sXvemHSmSq1dbdvCRx9Bm+aZBEEQhCYkA24kapvHfmn2r3gCLqJNHYkwxjZavXxeDz99+m7F63OuuKHR9nWi6PfpO7RdtgjFaOTPk2ofzO+yGnFpNYTKAWI8lRsS4ixJFb26quP1qkF8WFh9ai0IrY/I6iE0vjVr4OKL4bXXmrsmQh14fWVd7PXHvux6Z8hfPN//B5KtnRu7WhUW/fw1GQfU7v3tu/ZkyJjaTVUjNJCiELFvFwAbr74JiwLnHyri1c0Z1JT6cEvBan7Y/yH53qN75+j1aiuKIAjHt3FPJhLVtyPjh9ecwKzcVwfe4Lltt7HPsaVR67V0/o8U5GYD0HvwCDp0792o+zvehe/bTfuyeeXX3XhHndbdEKLOWDCw0FlxTnH6S9FIGoy6Y58oFi2CgQPV4VuCcCIQLfNC49u4ET7/HEaOVIN6oVXo2dlL8ZpdbM0xUHiM+34mrZlkSydK/E2TE8HlKOXHT96ueH3RDXeKjMNNRZJY8Ogsog/sJWfQEACsAbnGQB5gQfrXzE/7khJ/Pg9GvAIcbkEJCWnkOguC0CKsS1WDMZ2/dm3zWS6123u0sfHG4CiKwl8/fVXx+uzLr2+0fZ0oBn6gNt7sHTuRgk5da72eAqwvC+aHFTgBKPLmc+lfQ+ke3p9Pxi7CqK15VoMtW8DtBnPjz2IoCC2CuPoVGp+Ylq510sDHiSEs6GjBW4txZ36l5nH1wbTk1+9wlpYAMPTUiWJO+aam1ZI9eBiKRoOkgK2aqejKKYrCqrJMxKckHp6zef58OOkkeOyxxqysIAgtxf0zCgAw1aKjvTvgpNCnTjkaZWy8mXB2blpb0curY/c+pHTs0mj7OhHEbVpLyr9LkTVa1vzvrjqtm2HUkWvUoZcV+pclU91SsBq/4sMdcB4zkAe49Vb13HJX3XYtCK2WaJkXGp8I5lsltyRxU2wsxMK3WWkYAlVffP2d/Qtr85fQOeQkeoWNaPR6+bxeFpbNby5Jkkh614Qi9uygNCYOb3wCG0JM/BAXyoXphSR6ar6Rs7dkG/mebExaC4NiDk/1tHo1OJ2ii70gnCj69XcDYK5FCrxMlzqlrUVrx6KzN1qdFv3yTcXzUyaf32j7OSEoCoPmvArAjnOmUNymfZ1W3xCqNqf3KnZhLptFZ1jseD4c9TcGfe3aHzUa6NFDJFQVThyiZV5ofKmp6k9xZG1VthwwVDzX1zA13fqCf/g1Yy67SzY1RbX4d9FvFOblANB36Cjikts2yX5PeLLMKU8/wEWXTyZ+ywa22UwcNBvYYT92JL4q5y8ABseMrtSy8tBD6hzzt9zSaLUWBKEFcZUNh6ru5vCRstxlXexNjXftUJSfy9qlfwJgDw2n//AxjbavE0Hyv38Ts30TPpOZddfPqPP65ePlh5Z1sS+XYm9P/+hhtd6O6GIvnEhEy7zQ+Mpb5hMar5ucEHxb08uCeVlBV8N11/Do0wnRRZBk7d7odZJlmflff1Lx+rTzL2/0fQqqlH//JuxgKh6bndwevUkzqxmFu5R6j7nuyiq62IM6Y2X//hDbeEmqBUFoIWQZVu42QmJtg3m1Zb4xu9j/Pf9HAgF12rsRE85EbzAcYw2hJun9h7DiuhlIJhOu6Lod2It1GvZa1N//kMLKwbxZV7vo/PffD+dcHju2TrsXhFZLBPNC4woE4KB6QhYt861LTLx6gaPzU+Pc4f0jTqZH2GBy3AWNXqeNK5dyqGxsY6cefUXG4aaiKPT54gMAtp9/GV6bnXSTGsy3c9YczBd7C9heuA6AUQmTjnrfdOwhkIIgHAe8PolH50TBKPW8cizl3ewjjY0zRE8OBFgy71tAHbI1auK5jbKfE4lsMLDlsmvAbqvzupvsJhRJop3DQ7RXvf6Yu+c1thWu5epudzA68ejzx38tWAA//ABJSSKYF04copu90Liys0FRQKeDmJjmro1QB+06+gAwa449tjGgHLtMMMz/6uOK5xMuEK3yTSVx7b/EbN+M32hi8+XTKdJpKNVp0SgKKS5fjeuuyf0bGZkOId1JsKZULP/6a3jpJdi5s7FrLwhCS+D3Q3wb9XhhqsU5o7ybfWMF8xtXLiU/R50qs9eg4UTFid6D9aXxepECftBIYLXWaxs5Rh2SojDkiC72SzN/ZWXOXxR682u1jfHj4dJLYcKEelVBEFolEcwLjSs+HjweWLVK7VMrtBoeqWye+RrGy5f4ClmTt4QMZ2qj12f31g3s2rIegISUdvQ+qfGT7QmAotDv03cA2H7eJbgjo0kzq10hE9w+DErN3WVX5S4CYFTCxErLf/gB3nwTNmwIfpUFQWh5bFaFu/5X+2z25S3zjdXN/q+fv654PvoMkfiuIXp/9SHnXncRiZvXqQF9PZydWcxrm9I5K6sYgFx3JntKtiIhMTL+tFptY+xYeOEFGFb74fWC0OqJbvZC49NqISpKTVsttBouqSxRUQ0NKDuKN/DAhstJsnTg4d6fN2p9jhwrP+H8y8W88k0kfsNqYrduxK83sHHaDQAcrGUX+4ASYE3OEuDo8fLnnw/t2sGoUY1QaUEQWiRX2U1iYw03ictluQ8AENUILfPZGWlsWbNC3X5sAj0HDAn6Pk4UEXt30nfue2j9foxeT4O2Fe0NYA+oFx2rchYD0CNiABGm6FpvQwzdEk40IpgXmoav5q64Qsszd6EdpkNxTvVBc4YrFYAYU3Kj1iUr/QDrl6sn9rDIaAafUru79ELDRezbRUCnY8e5F1ckNCpPftf+GMH8zqKNFPnysers9Iuq3FRy1llw9dUQEdE49RYEoeWZ6HCgL1ZQHDWXK/UVUepXW2gjG6Flfsmv31U8HzXpXDSi52C9aLxeRj73MFq/n9RR49g7YXKDtmcJHG49WJmjzjIwuopcK1XZvh1CQ6Ft2wZVQRBaHdG0JTSu119X04ouXNjcNRHqqLwFReOtvgXlkEudqSDa2LjJDf9Z8BNKWXfuU8++CJ1e36j7Ew7bcs4lfPXpL6y/9vD8ceXJ744VzK8qy2I/LHYses3RfzPRgiIIJ4796TruuCSaf64307uo5hbc8vHyIfoITFpLUOuhKAorFy8AQKvVMmL8mUHd/omk32fvErlvF67QcP556GmQ6t7F3q2R2GsxYJAVym+puAMu1ub+DcDYpLNrtZ1HH4XRo+Gbb+pcBUFo1RoUzHs8DetOI5wAliyBzz8/PNe80GpMOEUdFhEfEai2THkwH9WIwbwcCLD8j3kAaDRaho2t3V16IXgc7TvhjlS7OfolOGRUA/O2zpp73JTPLz8mqfLF8qZNkJMjgnlBOJEUlmj4Y7mVZeuOPc2YR3bTxtqZRHOHoNdj344t5GdnAtC17yDsYeFB38eJIHr7Znp/+SEAyx54suIcUVcbQsw82SmW5zocXn9N7hI8spt4SzJdw/occxuKoj60Whg4sF7VEIRWq07d7H/99Vc+//xz/v77bw4ePIgsy1itVvr168f48eOZNm0aCWIuceFIGRnqT5HJvtU5z1+Kf+dOFmWZ8FczOV1TdLPftmE1BbnZAPQcNJTQ8MhG25dwWHjqbiRZJr97L9AfPlX4JYmJ2cXk63XEeGueX+qyjrexLm8pJ/8nedGtt0J6OixeDCNHNkr1BUFoYZLj/Hzy3CFKnMduve0eOoC3Bv9OljsPn1yLeezqYPXfv1c8H3iymL+sPrRuNyOfm4lGltl92pmkjqv/TfbVYerNnW4lhxsIl2epvTnHJp6DVIvWfkmCuXPBbFanpROEE0mtWua/++47OnfuzFVXXYVOp+Puu+/m22+/Zf78+bz77ruMGjWK33//nfbt23P99deTk5PT2PUWWotDh9Sf0fW7Yys0Ly2gVao+kcqKTKZLTVAUbWq8s+eyhT9VPB8+rmHj8YTaG/zWS5xz46V0m/ddpeUmWeGsrGL+b29ONbd4jthGzBgeHDibaHNcxTKnU525SKeDvn2DX29BEFqmiDAZ28UymZfq2Gep3VCpgFJ9z7D6UBSFNX+rY7E1Gi39hokMnPWh87opTkzBERXD8vser/d2XBqJTXY1mB+dVwqAX/axIucPACaknFen7UVF1aunvyC0arVqmX/22Wd56aWXOP3006vMIH3hhRcCkJ6ezuzZs/nkk0+YMWNGcGsqtE4imG+1Fv5jYe0WI8Y2Mt36Hj02Ot+bjVf2oEFLhCGuii00nNNRyrpliwCw2ELEdHRNJHH1MhLXrSSg13Nw1KlVltHXIhu1hIRFX3m8q8UCP/0ENhuEhASluoIgtBLvh4byQ6KN/+3Kp90xhunIsoJ8jKkv62rfzq3kZavXJd36DsIWEhbU7Z8oPCFhLHziFSyyD28DfofrQ8z4NRIJLh/tXOr3YVPBSkp9RYQZIukfNbzW25IkMXRLODHVKphfvnx5rTaWmJjI008/3aAKCceRkhJwlKWsFcF8q/PTX1ZmfxzOJZcXVRnMl88tH2WKR6dpnIkxVi/5HW9Zbo7Bp0xAbzA0yn6Ew6SAn8FvzwJgy5QrKU1MOaqMRoGacj+X+Ir4Yu8bjEk4kzZhbaosIw4JgnBiKSjSkBmiBduxp6a7fc05uPxOLm9/PynWLkGrw5q//6h4PuDkqm9UCtUzFhXiCQkFrQbCwnDqG3buXxWm3uwdlVda0dOrvIv9KQmT0WqOPcuAosCZZ0L79vDBBxAb26AqCUKrU+cEeG63u9r3DpW3wtbRa6+9Rtu2bTGZTAwePJiVK1fWWL6wsJCbbrqJ+Ph4jEYjnTt3Zt68efXat9CIyr8PVqv6EFoV9yUSYakB0q6pujtkefK72EYcL7/8918qnovEd02jy28/EH5gH+7QMDYckcG+3F+RVnbYDHhr6Mr4b/affL3vbV7YdFeV4x21WhATEgjCiWXJKjP/7lS7VNcUzCuKwt7SbexzbMOgCV5Tq9rFXg3m1S72o4O27ROBobSEyTOuYtSzD6I1GCrlUqkPp0Zii139+47KVxt+FEVhWbYazNe2i/2+fbBzJyxaBGFhDaqSILRKdf5P7N+/P5999hl9/zPY8ZtvvqnXePkvvviC22+/nTfffJPBgwcza9YsJkyYwI4dO4ipImma1+tl3LhxxMTE8PXXX5OYmMj+/fsJE//BLU9uLmg04jZpK9V2oJ/CKC0Wgwy7j36/saely8o4yK4t6wFISGlH287dG2U/wmF6Ryn9P3oLgLXX3443JLTS+6VaDZ8mqRPDf7M6FUOg6gvyBEsKo+MnMyCmchdJrxcmT4beveHTT9Wu9oIgnBgMegVDqIwXTbXHjnKvDPyJfaW7iAriHPP7d20jN0tNytu170DsoWFB2/ZxT5YZ+dxMQjMOog340SkyDc1msC7UTEAjkezy0rasi/0h536KvHlYtFaGxdUuOWFSkno+cbnAaGxgpQShFapzMD969GiGDBnCI488wt13343D4eCmm27iyy+/5IknnqhzBV588UWuueYapk2bBsCbb77JL7/8wnvvvcc999xzVPn33nuP/Px8li1bhr6saadt27Z13q/QBIYNU6/et25t7poI9eApa1HVVzNmsTyTfWQjBfNHtsoPHXdGrTLaCg3T54v3MRcVUNimPdvPv/So98vnl4/2+LHWcDHePXwA/aOHE2+Pr7R861Z1lsqSEtFZRxBONKePctKxjY+tGGtsmZckiRRrJ+z6WBx+V9D2v/qILvYDRRf7Ouk7dw5t/v0bv97A7y+9gyc8osHbLO9iPzLPUbEswdqWL8aspjSQh1Fbu14ZBoM6HV2H4M9iKAitQp2D+ddff51JkyYxffp0fv75Zw4dOoTNZmPlypX07NmzTtvyer2sWbOGe++9t2KZRqNh7Nix1Y7T//HHHxk6dCg33XQTP/zwA9HR0VxyySXcfffdaLVVj63xeDx4PIenvCguLq5TPYUG0GrBbleDeqFVcZcH83LV75e3zDfGtHSyLLOsLJiXNBqGjjk96PsQjlaU1AZXWAQr73gQpYp+8OXBfFvnsf+frYajo/UuXdQxjRqNyDh8ohLn4xObq+wf/1hj5kGdMSVYFEWpmJJO7WJ/StC2fVxTFPp//Bb9PpsDwLL7niCve+8Gb9alkdhW1sV+9BHBPIBdH0qP6F512p7BoF5uCsKJqM5j5gFOP/10zj33XP755x8OHDjAM888U+dAHiA3N5dAIEDsf7phx8bGkpmZWeU6e/fu5euvvyYQCDBv3jwefPBBXnjhBR5/vPqpMZ566ilCQ0MrHsnJjTfGV6iCP7hzxApN49vFah/o9D1VnyGdfnUamRhT8Fvmd25aS362egzo0X8wYZEiW1pT2DX+TL787i8OnjymyvfTzGow376GYH5p5m+kluzArDMf9Z7ZrHbYueyy4NRXaH3E+fjE5iqbEammYH513mLmps5ma9HqoO13/+7t5GaqXey79BkgutjXghTwM+LlJyoC+bXX3sauc6YEZdtFei1tnF4SXD6S3WoX+/KbN/+dAaUmBQXw1luwYUNQqiUIrVKdg/k9e/YwdOhQfv75Z+bPn89dd93FmWeeyV133YXPV/M0I8EgyzIxMTG8/fbbDBgwgClTpnD//ffz5ptvVrvOvffeS1FRUcXj4MGDjV5PAXjiCZgyBZYta+6aCPVQ3jKvrebfes7QxXw4bBVx5rZB33d5CwrAsLFnBH37wn+UD6UwGPCHh1fbbJ5W1jLfoZpg3id7eXHzXVz/z+lsK1xXZRmjUbTKn8jE+fjE9cPvVnLd6s1hQw3B/IrchXy49znWF/wdtH0feU4RXexrJyT9IO3/mo+s0bD0vidZd+PtQdt2nMfPfbuzeW1zWsWyr/e9zU3/nMHizJ9rvZ01a+DFF+Huu4NWNUFoderczb5v375MmjSJ+fPnExYWxrhx45g4cSJTp05l4cKFrFtX9QVcVaKiotBqtWRlZVVanpWVRVxc1fNW/z97dx1e1ZU1cPh3Pe7uENzdpRSqtNRdaKcyFTq1ma861alNZdqpu0/djQqFtlDcJQQIxN396vn+OElIiF0LIWG9z5Mnl9yz99nYPWedvfdasbGxGAyGNkvqhw8fTmFhIRaLBWMHpatMJhMmyYpx+C1bBsuXw+TJvT0S4YaZMxr4CAMDE61Q3PExJq0fVke9V8+rKApb16g3cXqDgTFTnK8zK1yna2zkxDuXsPPMC8hcdE6nxznofpn91rLV1NtqCTdFMypsUpv3Cgrg++/huOMgqX21O3GUkOvx0Sv9gBGbsWmZfRc5N4ob1QAv3Bjb6TGu2rxqBaAusZ8gS+ydUpU0gF/vfxKd0UDWsSd6vX+dAr6tdlKsKV5GRs0uLA7n8ySEhMAJJ6hJVYU4Wrk8M//CCy/w4YcftskeP2PGDDZv3syECRNc6stoNDJx4kSWLTuYlMThcLBs2TKmT5/eYZuZM2eyb98+HI6DnwB79uwhNja2w0Be9KLm0nRSULpP0jTlngnQd75v0aZ4fwtF1r7dVJSqTw+GjZuMj59kSutJE95/lZhdW5n6ytPo7J3/fZYadZh1WgwOhfjGjpdrrCr6CYD5CYvQatpeXlauhH//G+65x3tjF0L0HQtm12HCgUZRupyZL2oO5k3eCeZLC/MpyssGIHX4aAJDQr3Sb3+UuOZ34jatVX/h40Puiaf2SCAP7bda3D/hVf4x5gmOSzjT6T4mTYLnn1evLUIcrVwO5i+55JIOfx4YGMjrr7/u8gBuueUWXn31Vd5++23S0tK49tprqaura8luf+mll7ZJkHfttddSXl7OjTfeyJ49e/juu+94+OGHuf76610+t+hhzcF8ByUGxZGvJZt9Bzdd3+W9y51bLua3oq+8ft4tq39reT1+2lyv9y8OCstIZ9Rn7wPw510PYfdtv8+9Wa6P+rA0scFCR1kU7Iqd1cVqMH9iYvsZ/uhomDdPLU0nhDj6TBhmoTFzH2tXZBNk6/ghsaIoFDfmARBu6niFpqt2blrT8nrkxGle6bO/0VosTHvxCY6/71aO+fc9+NgsEBLcfUM3FJr05PoYMDja/hsINIZw4eBrifB1rZxxF5ctIY4KLi+z97bzzjuPkpIS7rnnHgoLCxk3bhxLly5tSYqXnZ2NVnvwmUNiYiI//vgjN998M2PGjCE+Pp4bb7yR22TDzJGloQGqqtTXMjPfJ2UUGyAQGqvab3BOq9rMpvLfSfYf6fXzbln9e8vrsdNme71/odLY7cx6+iG0Djv7559Eztzjujy+OfldZ0vsd1VspNJSRqAhmCnRx7R7f84cdYl9crLHQxdC9GEOoLO0GTW2ShrsanbzMC8F87uaZ5qBERLMtxO1aysznv834Rl7AMg4+XQsPTgJ81NkIL+HB3BuXiV/ya1o+blOo8PX4HxkXlWlVkaRW0xxtOv1YB5gyZIlLFmypMP3VqxY0e5n06dPZ82aNe0PFkeO5ll5Hx+1NJ3ocwrf0UMcGEMVOGS14xmJVzAieDKhxgSvnrOkMI/cA3sBGDB0pGSx70Ejvv6IyL1pmAMCWXP7A90er1HAaHd0mvzu1/wvATg2/jQM2vZl7UBmUIQ4muUV6amq0VJh1qKJ6PiY5iX2wYZwjFrn6ox3xW63kbZlPQB+AUGkDBrmcZ/9RUjWfia99QLJTavhGoJD+f1f/yG3k2om3pIWoObMGFnbCMD+6jT+u/MuFiVfwhUhzifZ++ADeOYZuOkmePLJnhipEH2DW6XphOhW6yX2krq6T7oou4ZFn9UwzmJu915q4Ejmx55Fov8Qr55z65qDs/LjpssS+54SmJ/LxLfVCiDrb7qLhsjulzWeWlzNS9tzOam4pt17FruZ3wu/A+CMAYvbvV9aqi7WkWBeiKPXQy+GMXJhCh9/2fkD/uYl9hFe2i+fuSeN+lr1M2vE+ClopRg5AH6lxZxx3YUkr/4Nh1ZL+mnn8cWnP/V4IF9m0FFiMqBVFEbVqMH8rwVfsbtqCxvLfu+mdVsHDoDDAQMG9MRIheg7joiZedEPlZWp65+iXdv7JI4cT91RQnGdls21HWeetjq8n/xuS+tgXpbY95jEdSsxNDZQMH4K6Wee73S7QJuCXwc5FNaWLKPOVkOUbxxTO1hi/9RT8PXX6uzJDTd4MnIhRF9Vl6pBm6OwtMGf8wrbPxQEKGpQZ+bDvBTM72q1X37EhKle6bMvMtbWELtlPVmz1GC9PiKK/fNORG+zsuFvt1E1cPBhGUdagLraYlCdGX+7gkNxsKLgGwBOH3CpS3099hjceSekpnp9mEL0KRLMi56xaBFYLLBzZ2+PRHjA0cHOxjJzIevKlhNmjCfeb6jXzlVXU82ebWppy8jYeOKS5QrdU3adfj61icmUTpqqPnRzksnRcdKqZU1L7E9NvqhdFnuArCywWuWmS4ij2V+vquKdhGA0DUBhx8e0lKXzVvK7jQf3y488GoJ5hwO/shKCc7MIzdpPaNZ+QrIPELE3Db3FzMdvfE7NwMHg58vvjz6Loj+8YcDupiX246vUWfmdFRsobSwgQB/E3LiTXe4vNRXCwrw6RCH6HLf+Fy9cuJDXXnuN2NjYNq+FaEOnA39/sNt7eyTCDX/6+FCMDqVBwa9VTeA91dt4ZvdtpPgP5+7R73jtfNvXr8LhUP+tjJs2F41sz+g5ej3ZC093+vAMPyMp9RaMHVSTqrKUs75kBQBnDGy/xB7gvffUZEWjRrkxViFEv9DQ9Jl+aEmy1pqX2YcZPQ/m6+tq2b97BwAxCcmER/fN+1SduRGf6koM9fUYGuox1NdhqqnCp6oSn6oK9s0/mZq4RABGf/YeU15/tsN+KgYMxg8HNU1Z6jv/W+gZCpAWqM7Mj69Wa8kvL1Ar4hyXcCYmnes5Evz8vDY8Ifost4L533//nYaGhnavhWhDUSSQ78Pm6BKxD9HwQE4JU4yNLT8vaFDr9Ub6eDf5Xess9uOmz/Fq3wICCvOZ/uLjrPrbHdQPGe50uyq9lkcGR+Nrd/D+pux2y+x/K/gWu2JjaMhYBgd3XN1Ao4Hhw+XGS4ijWUPTKiCj/fDUmE/fuqHlAfGICUduFnuN3U5wbhbhGemEZ6QTkp3Jhsuvo3ygmpNm8M/fMvO5xzptX546lJqEZNDpqElMxqHTUxOXQEXqYCpTh1CROpTyIcOpTB3SqzmMCk16qgw6DA6FETVmrA4LfxT+AMBpAy52qa+77lLni+6/H4Z6b4GgEH2SLLMXPeMf/4DMTDjvPBgzprdHI9xgb0pIblTaLq0ubFSD+QhTnNfOZbVY2L7hTwD8A4MZNHKs1/oWoLVamffInUSl74TnH+fnF5xfUbGzaSYlrtHa4X755iz23e13lOR3Qhzd/vdLACwGW03nAWVzMO+NBHit68uPOsJK0gUW5DLg91+I37yWqLTt6M1tE82mn3IW5SNGAxqsoaHY9Qasfv7ql78/5uAQGkPDaQwLp3bYcIhSK79kLTyDt04587Avn3fG7qb98sNqGzEqCmtK/6DGWkmETwxToo5xuh+LBb79Fhob4Z57emiwQvQhR97/dtE//PgjbN8OJ57Y2yMRbvIPVahDQ1iAA6wHf17Y4P1gPn3bRswN9QCMmToLnU4+mrxGUZj+wuNEpe/EHBDI6rsfdqn5jqZgfmJlxyuwrh9xP78XfsupyRd2+P5110FcnJqsSHZjCXH02pqlfpYo9R2/b3NYGR48gYKGbK/MzDfvl9fp9QwZM8Hj/jymKC0z4+H70pn85vMtb1l9fSkbPILyYSMpHzKcssnTICQEgIwzLyDjrI4/X9udwtBxWdAjQXNJuglVTUvs89Ul9icnnYdO61qVgaefhvR0dcWXEEc7uWMWPaO5NF2k1Anvq6xN11ZfTdvZ2IPBfLzXzrV17R8tr8dNkyX23jTyiw8Y9sMXKBoNvz38X2rjnN8e4QB2NQXzU6o6vgMfHDyaWXEL8DO2X0NfWgrLlqn3r88849bwhRD9xOzZDezCRIip40Saeq2BB8e+TZWllhpbnUfnKs7PpaRAneUfNGIsPr69tMfH4SBx/SpGffE/sqfNYefpF4BeT/7MOWTNPpa8mfPInzKDqpTUzpOR9pP8MfU69fc3rrqROlsNa4p/AWBRimtL7I1GmDcPFi/uN380QnhEgnnhfRaLehcPap150ec4AEvTjYVBORjMK4pCYWMOAJE+3gvmd21qmkHR6Y6OjMOHSeKa35n66tMArL35LnLmzHepfZavkVq9Dl+7g2G15g6P0Wl0HQbyoO6R/+9/oaQEQkNdOrUQop8ZNtICQLBP17l0bIrnZU93be79LPZRO7cy65mHCM0+AIB/aQk7/3ItGE1YgF+efatXxtVb/r6/BEWBOLON7/O/xOxoZEDgUEaFTXS5L60WTB1XzRXiqCPBvPC+oiL1u17fskxM9C0VjQdnCAyt9kmXW4qxOMxo0Hol2zBAeUkRRXnqbP+AoaPw8fP3Sr9Hu7D9e5j36N1oFIW0My9g5yVXudxH8375sVUN6A/ZLr+7cgvf5bzPmQMuJykkqcP2fn5wwgkwcKDLpxZC9DP1TQ+IO8tmb1fs6DQ6bIrniXN3bmxVX/4w75fXWixMeO9lRn/6HlqHA3NAIOlnXMCuCy8H49EbgWoUiLbY0CoK3+d8AMD5g65xqXKNxQKffgrHHCOlToVoJsG88L78fPV7dLRLNazFkaOw5uBHg7HVjVfzEvtwUwx6rXc+PnZv3dDyevj4yV7pU4DFP5CamDgaIqJZfce/3FqPuCNIDeYnV7XfL/9dzvv8nPcZvno/jk1c2GkfBoP6XE8IcXQrrNVBBOisHQfzb2Y8ytL8Dzgp7jJOiLvE7fPY7TZ2b1kPQEBQMEmphy/deeiBfRzz2D8Jy9wHwJ6FZ7L2tvuxBAUftjEcSRyAQwN6BYJtDgwKpFVt4UDNboxan07LmXZm2zY1g/0LLxycNxLiaOfWLVZycjKGpiQbrV8LAch++X7AYTz4uvWMbHNZuigvLrFPa7rpAhg2dpLX+j3a1UbH8u0rH6Lx8XErKVK9VsN+P/UfQkfJ7xYlLUan1XPxkOs7bF9eDr/+CsceCwMGuHx6IUQ/8+k/A2AMRI6yQ0D794sac6m1VaPVuJYM7VC5+/fRUK/uuR82djLawzipoG9sICR7Pw0hYay65zGyjj3hsJ37SPRjZCAbQvz424FSEhrV7RPFDXkEGkI4Jm4hwUbX919NmwaDBsl+eSGauRXM79ixo8PXQgBQVaUWAJVgvs8KClcTFJkcDlpfL4ua9st7K5O9oigtMyhGk4mBw0Z7pd+jVVBeNlG7trHvuFMgwB9rQAd3zE5KC/TBodEQ32AhxtJ+D+vg4FE8FPcaAcaOz/Hjj3DffTBuHGze7PYwhBD9RMhqBxWfOJj4XCN0MFl+6/AnOT/5bzR2UYfeGft2bW15fbjLnJaMHMtv9z9J/sy5NIZFHNZzH2ky/Ix8ERuMQ6Mh29fAyKa8K3NjT+GYuIUE+rh+fZo0Cd59Vw3mhRAqWfwovG/xYrj4Yti5s7dHItzU2PTI23hI0uGClmX23pmZL8rNoqK0GIDBI8djMBq7aSE6E7p/LyfetQS/inJsoWFknnKGR/2VGXToHQqTOilJp9Po8Dd0nt8gLEwN5C90rqKSEKKf2/V9FpW1WtbWdbxv3EfnR7x/KqWNFR6dZ+/OLS2vB48c51Ffzhj+zSfkTpxGTUIyhIay/9SzevycR7o6nYZXksNxaDTMKavlxJLaNu+H+0YSaAp0q29fX2+MUIj+Q4J50TO0WvDx6e1RCDel2GzsysxkV3Xb5dnerjGf1mq//DDZL++2yLTtnPDPmzDVVlM2aBiFM2Z73OfxpbXML6kjxN42GdX6khWsKvqRiwZd32niO1AT3511ltSWF0Ic1N2cu83hWSZ7RVHI2LUNAJOPLwkDe3AKV1EY/94rTHj/NWqiY/nygx+wGOS22ga8lBxBmVFPtNnKjQdK0aD+3eys3MDo0Cn4G11PdFtXp5al8+ulKoNCHKkkO5noGXbPs9GK3rNtq5ETZ8bz+JVhbX7upw8gQB9MpJdm5ne32i8/XPbLu05RGP7NJyz8v79iqq2maNR4vn/jY68t7wy32Qm2tV2e8UXmGyzN/YhfC77stn1goOxrFEKoVvv4sDTQjzJj+1vP4sY8ntl9G1/nvOnROcqLC1tWew0cPhqdrueC67EfvsmE918DYPfZF2MJC+umRf+nAO8lhJIW6IPJ7uCePcX4N22b2Fmxnr+vPY8bVi9yq+833oApU+C557w4YCH6AXmEKLzvyiuhogKuuEI2NvVRtfVasvMN6H3azqM8MPYt6mwNlJurPD6Hw+Fg99aNAPgFBB7WjMP9gb6hnllPP0Tqbz8BkHnM8fz28DPYvFTaz+CAAHvbQD6ndj+bylaiQcNFQ5Z02nbbNhg5EvylyqAQosk55bHkjTNww7ZyFlrq2ryXXbePH/I/IMEvlTnRZ7t9jtZL7AeN6Ln98nGb1jLxnZcAWHPrP90q/dkfLY0MZGV4ABpF4Y59xaTWW1reK2jIwU8XwKiwSWg1rs8lbtsG9fWQkODNEQvR90kwL7zvu++gsFDdNy/6pImjzKz7JIv0uvZZ0O2K3aW6sJ3J3b+Xuhr1ocDQMRPR6jzLYHy0id+8jtTffsKh07P+b7ez49KrPJ4GV4C3EkMZU93I8YfscQT4Nuc9AGbHnkRiQMcp6ouK4Nxz1T3z+/dDUJBHQxJC9AN2O+TVqNcTQwel6YobcwEIN3q2L+dwJL/zKy3mmMf+iUZRSD/tXAnkm2wI9uWzuBAArs4qZ9oh+VaOiz+L+fGnEezj3kXhlVcgM1OdnRdCHOT0o7Fffvmly/cdDgf/+te/PB6Q6OPsdihWl7hJNvu+a3eEkUdPCGP5/Pab06yKZ3sam6VtWdfyevg42S/vDI394J991oxj2HTZtXz32kfsWHy1V9azbw7yZVVYAK8lhVOna3t5aLDV8XPepwAsHnpjp30cOAAhIZCaKoG8EEKlKBCfYgXAX+to935xYx4A4SbPgvm9O9RgXqPVkjpslEd9dURjszHv4TvxraqgbNAwVt8h970Amb4GXk9StxmcUljFGUXVHR4X7R9LhG+0W+fQaGDGDAh1vZqdEP2a08H8ySefzJIlS6ivr2/33o4dO5g8eTIvvviiVwcn+qDiYnA41AR44eG9PRrhpmy9ns8DA9kUdDCJ4Q/5H3Dlmnl8luWd/+dt6stLMN8ljd3O0O8+55zLz8S/pBD0OggNZfNNd1DspcSBVg183DSrcmZBFRHWtnkvfs3/knpbLYn+qcyIWdBpP9OmwapV8MknXhmWEKIf0OshOEoN4v117Wfmi5qC+VBTjNvnqK+tIT8rA4DEAYPx8dKWo9ZMNVXozY1Y/ANY9tQr2CXRLwCmpsonUyvquDarvM17jbZ6tpT92W0FlO5oNLJ1S4iOOB3M//HHHyxbtoyxY8eyatUq4OBs/MSJExk6dKjUnBdQUKB+j4xUa82LPim7XN2B01h1cLY3ty6D3PoMam2e75e3Wa3s2a4WHw8OiyA2McXjPvsj/+JCxnz8Nmdecz6znn2EwOICRnz/BUREgMm7Zfx+jgyk1KQnzGLjgvzKNu/ZHTY+y1QTPV08ZEm3+x1DQiCp80T3QoijUENLydOOgvkcAMKN7gfzGWnbUBS170E9VJKuMTScb599ix9e/oCapJQeOUdfFGu2sSSzjPv2FHPond8PuR9y+/qLeXz7LW5t0WtsVLduPfssWCzdHy/E0cbpPfNTp05l8+bN3H777cybN4+rr76aNWvWkJOTwwcffMCZZ57Zk+MUfUVzMB8V1bvjEB7ZnmWCUVCUdfAj4sykq5gYNher4vlDmgPpO7GYGwF1ib039uD3F1qrlcE/fUPqiqXENj3wADAHBrHp2ltIO+cSr5+zxKjjuyh1TfwV2eX4HHKzvbzgG/LrswgxhnPuoM73h5rNYDJBQIDXhyiE6MNsNqhrmj869PMFDi6z96Ts6b6d21peDxo5xu1+uqQBe2Q0pXHeqejSnwTaHBx6Jbc6LHyW+ToAM2OPc6vf1ath61YoLYVnnvFwkEL0Qy4lwPPx8eE///kPxcXFvPDCC/j7+7NhwwaGDpUs1KJJ65l50Wf5BavLIQNNDlBjbsJN0QQZwilqLPO4/7ZL7I/uknTG2hr8S4uoSFErPzh0Oia++zK+lepSxYLxU8g45UwOHLcQS1Cw18/vAN5MDMOs0zKyupFjy9pmmbYrdj7IUGsB/WXYrfjpO1/nuHixusvmzTdh/HivD1UI0UdlFxgojtODsf3MvM1hpdxcBEC4B8vsezKT/cS3XsSh17PtL9dil1ryLRyoS3xNDgWj0v4hzfL8ryhtLCDCJ4YzB1zm1jkmTIDHHlP3ystzfyHac+kTKSMjg8suu4y9e/fy0ksv8eabb3LMMcfw0ksvcdppp/XUGEVfUlOjbo6L8E6da9E7UoeoiYqGJFsg/eDPbYq9kxau2b21VX35cUdHalpjbQ2BBXkEFuUTlJtFxL50wjN2E1SQR31oGB+8/wMY9ODry87zFuPw8WH/SadRF+P+TJUzlkUEsCdArQn8j/0l7WZWfi/4jrz6AwQZQrssR1dWppYOcjggxv37cSFEP2S1Ar4KoMFkbxv0lZoLcODAoDESaHCvVrvNaiVzz04AwqNiCYt0L8laR0Ky9jPmk7fR2u0UzZpL/rTZXuu7r/s4LoRik55LcyqItLS9P7Ardj4+8DIAlw29GaPO5NY5goPVZfYpKZ6OVoj+yelg/rnnnuP222/nhBNO4PPPPycyMpIrr7ySxx9/nPPPP5+zzz6bZ599lpCQkB4crjji3Xwz3Hgj7NzZ2yMRHjA3Pf42ND1pr7NV82n2K4QaYxgfusCjZfE2q5X9u9V/HxExcYRH9d3IT9fYSGj2fvxLi/GpKMe3sgzfinJ8aqow1tbw44PPqMkggTmP30vy2j867Mfm64efYqc+Us3kvPXamw/L+AtNej6PVWf7r8ouJ8bctlKBQ3G0zMpfNuxmAgyBnfYVHg6//aZms4/1LCG1EKKfGTTQCqaO98wXNZWli/CJc6v+OEB2RjoWs1k9lzdL0ikK0158Aq3dTtacBRLIt1Kn0/BHmD9mnRaLtrLd+6uLfiK3bj+BhmAuGHytR+eSxHdCdM7pYP6ee+7h5Zdf5qKLLmr5mVar5bbbbuOUU05h8eLFjBw5kry8vB4ZqOhDFEXdOCv6rMamANTQdNOVV3+ADzL/S6gxkglh7u17a5adkY7Nqmax8fZSyJ6kb2wgbP8eiluNef6//o/EDas7bWO0mtWl8RoNtQlJ1O+NoDY2nuqEZMqHj6J0+CjKho3CEhxyGH4Hbak15cOwarWMq2pgYXFNu2NWFi0lu24fgYZgLh3yt277jI5WSwcJIURrDa0eAJvaBfNNZek8SH63b2fP1JdPWfkr8VvWYzMYWft/93qt3/7gt/AAzDotyfUWxlc3tnlPURQ+2v8SABcOvr7LB8Fd+flnNQHeBRd4PFwh+i2ng/mdO3cS28l0y8iRI1m7di0PP/yw1wYm+jCbd+qQi97z504fmAMZOw1ggsKGbAAiTJ4n/empmy6vUxQi9qYx4I9lxGzfTMTeXWjtdt77+GfMwSGgN1AxaBgR+9KpiU+kISyCxvBIGiIiaQwJxRwUjD0qGnx9AVhz10Os+ecjvft7akUDnJtfycdxIdzawfJ6gAhTNCNDJ3FM3MkEGrvfr+/vL3sahRDt+SkKeRkZbK0yojmkzHxx08x8uI/7S3pa75cf7KVM9rrGRqa++jQA2y67hpqEZK/02x/YNLAsQg3Qzy6oanf92FS2kr3V2zHpfLls6E1un+ell2DHDnWp/ZVXuj9eIfozp4P5zgL5Zjqdjn/+858eD0j0cc1VDf72N4jr2b2+oudUWtWZeWuNRg3mm8oGRfh4/neakXYw43Dq8B7KOOwBY20Nqb/+wNAfvyI8Y0+b92qjYghorMc8RE36ueHWu1l/+/3Odax1b/loTxpcZ+GZHfntSgk1GxE6kVdm/0CIb0iX/XzwAWzZAkuWyBJ7IUR7ezIMPPd+KKZQB8ef2zbJZlGDGsyHujkzrygK+3ap1xVf/wDikgd6NtgmYz9+i4DiQmqjY9n2l+u90md/sTbEjyqDjlCLjWPKatu8Z1fsvJH+GADnDLyCMB/3EiI7HDBzpjo/dMopHg9ZiH5LUnIK73E44Jtv1E/eG2/s7dEIDyxMrMNWqGFsbCNYoaBlZt6zYF5RlJaZeV8/f+K9dNPlTanLlzLjhccBsBmNZB1zPLmzj6VwwlRq4xLaTD0rBkNvDdNtzdmHNQqEWu2dBvIAGjSE+Iag13Z9qfj8czX53YIFMH++N0crhOgPDuQaeP79EIYNNbcL5lMDR1BuOYZEv8Fu9V1ckEtNU/WP1BFj0Hrhwam+oZ6RX3wAwNp/3Iu9aYWVUHPqfButljI9rbAawyFJ7JflfU5GzS4C9EFcP9r9rQlaLdxyCzz+OAS6t0pfiKOCU8G8Vqt1K+HVvffeyz333ONyO9FHlZUdXGIfHt67YxEeuY9y/llVzi9W9QamZZm90bNgvrQon6oKtbTdwGGj0eo8r1nvMYcDn+pKGkPULMoZxy1k8K8/kHHKmexbeCbmkNBeHqD35PgYeDUpnGszSxlVa+6w3jPADzkfkV9/gKuH39FtIA9w222wbBmcdZa3RyyE6A8GJlq5+9oyLB3ExKcnXsFJ8ZdQ0ljhVt+Z6QcT7qYOG+3uENuw+frx5fPvkbrmdzLnn+SVPvuLr2OCKDEZCLPYOLW4us17jbZ63tr7JADXjLyLMJNnlY00Gkl+J0R3nArmDxw44Fbnktn+KNNcYz48HIzG3h2L8FjrOK85mI/08WzPfMauVkvsR/T+EvuwjHRmPvsYWpuVr599GyUoCEtMNF9/8F1vD83rCk16nhoYSY1Bx1exwUxOL+rwuDpbDW/seYwaayUjwsZxYXD3WYgnTYJFiyAgwNujFkL0B9ZhGtbM9iGwxsGxe+vbvW9XHB20cs6BPbtaXg8YOsLtfg5Vk5TMlgm3eK2//uCAr5GfItVp8r8dKMX/kDKDnxx4hXJzMXF+ySwe6v4KzZoayMyEKVOOyB1qQhxRnArmk5Ml6YdwQnMwHxXVu+MQHlu3zYfMAh31URqiYswUm/MBzxPg7dvVKvldLwfzg37+lln/fRid1YrF14/QqnLK++mG73KDjiebAvkBdWZu31fS6bF+ugD+Pvpxlhd8xbmDrnKqf61WZk+EEJ0r1un4xd+fgVja/NzqsGBxmLEr7mfOzEw/GMwnD/Y8mDfU1WL1DwA/eTrZmg14KzEURaNhTmkt0yob2h1Tb6tFi5b/G/dvt+vKA/z4I9x1F5xwAixd6sGghTgKOP28q7i4uMv3bTYb69at83hAog9rDuYj3Ut2Io4cj30RynkPxrNqjS8l5gLsig29xkCI0bO/2+aZeY1Wy8Bho7wxVJdp7HYmv/Zf5j55PzqrlazZx/LZlysoHzayV8bT02waeCk5nAqjnvgGC4/sLiTA3vksmEajYXbsSbx8zDfdLrHPy1OzDRcXSxZ7IUTnKu3qlirDITO5u6s2c9bvI7lt89lu9Wu328jOSAcgIjqOQA/LfBrq6zjnL2cw75E7MdrMHvXV3+iAE0tqiGuwcn1WWYfH/HX43Xx6/AZOTDrHo3OVl6uFYGbN8qgbIY4KTgfzsbGxbQL60aNHk5OT0/LrsrIypk+f7t3Rib5Fgvl+Y/M/TVAMJXP0bZbYazXur3drqKslNzMDgIQBg/DxO/xTuYa6WhY88HfGfPouAJuvWMIvz7xBfbT79Y2PdJ/GhrDf34SfzcFD6UWE2DoO5BVFocZaBUCYb5hTff/wA/znP3DHHV4brhCiH/phnR8AhQfaPiAsNav3DX469zKcFWRnYjGrNc5Thng+Kz/su8/xraok7MA+rP6Sda01DTC7vJ6Xt+US3Ml1xKQ3MTJ8vFt5tlq7+mrYuhVuuMGjboQ4Kjh9Z64obZ+mZmZmYrVauzxGHGXq60GvhwjPEp6I3heXbAdg9FDzwbJ0Hmay35++E8Wh3gAM6o2SdIrC/IduJ2ntSmxGE8sf/i+bbvi/fr0hb2OwL7807W/8R0YJMWZbp8f+WfwTl/82l5/zPsHX4Fzm5oED1ZmTiy/2ynCFEP1UfdODYJ217X3ivJjT+XzOLq4c7GSJz0Nk7m21xH7IcPcHCOjMjYz6/D0Atl2xBOVISNB6hAmx2jm0hovdYeOZHXeRU5tBmI9zD4KdER2t1pcXQnTNq3exnj6JE33cgw+qAf2SJb09EuEhc9P/ZYND6T/J7zQaVt1wO4VjJvLd65+w/+TTD/8YDqMio563EtUbqzMLKple2T7pVLMGWx2v7H6IWls1NTbnM0ofeyx88glc5dzWeiHEUWrWbHV/9dBka7v3fHUBBOrdq4CT2Tr5nYcz80N+/Bq/inJqYuLY18+vD67I9jXQoNXgZ1c6rIDyyYFX+CH3A+7YcAlaredxQG2tum1LEqoK4RypMy+8S1Ekk30/0NgUzBsVhYKGLADCPSxL1zb53ViP+nJXzcDBfPfOF71y7sPJotHwUko4DTotw2sa+UtO1wH6q+kPU9SQS7RvPNeOutulc8kNlxCiO+amIM+X9suz7Yrd7X4z96S1vE4aNMztfjQ2G2M+eQeAbZdfh2I4dP756GTVwHMpEVi0Gv6VVkiYtf3f1fz4M9hesZbzB13tUdI7gMJCWLAAZs9WE9/144VzQniN08G8RqOhpqYGHx8fFEVBo9FQW1tLdbVaY7L5uzjK2Tpfxiv6jqwyPcRBdrqBaJ8EBgaMINZ3gNv9Oex29u/eAUBwWATh0Ycpa7zDwaz/PkzW9GPImTsfgoMOz3l7mQaFAfUWqvQ67tpbjL6LHVDrS1bwfc4HADw27W389N3nMnA41But446TLPZCiO41ND8gPiQB3hO7bkanMbIg9mJCja5VwrFZreQe2AtATEIyfv7uP1lMXvM7ASVF1IeFs/f0c93up79ZFhFIuVFPuMXGgIb2qyoAIn1ieW3uUqe3Z3Vl9WqwWtVFnvI8RQjnOB3MK4rCkCFD2vx6/PjxbX4ty+yPYooC8+dDUBDceSeEhPT2iIQHGpv2N9rr4S+D7uAC+y2UmSvd7i8vaz+N9XWAWpLucH1WTHntGYYu/YrUX5fy8cxVtC+k0z8ZFLgquxydQyGsk0RFANWWCp7acRsAFw9ewvSY+U71v2oV3HwzJCfD/v2SyV4I0bWt2SaIhMqCg/vQ7Q4by4u+wq7YWBDreuKN3Mx92JpyN3ma/G7wz98AsOf087GbfDzqq7+o1Wn5Llp9AH5pTgWmQ/Ji5dbtJ8F/IEGmIPyMfl455xlnwPjxsldeCFc4HcwvX768J8ch+rqqKmj+N/LAA707FuGxgFAHFehITVBrAtsUz1ZctF5in3qYltgP/vFrRn/+PwBW3f0oDRGuzfr0NfVaDb4OBQ3ga1cIs9rpKsZWFIVnd/2TCnMJAwKH8o9x/3b6XA0NEB8PCxfKMkghRPf2Fqnb7yrytdC0QKrMUoRdsaHT6Ak2uJ44t/V++RQPk9+t+L8HSV35C7kLTvaon/7ku+ggGnRakustLCitbfPejor1/N/aCzgx8Twen/6OV887ejTEHqbFe0L0B04H83Pnzu32mPLyco8GI/qw5rJ0QUHgI0+1+zp70/K20AALSqOC3dH57K4zWie/G3QYkt8F5ucy/cUnANhw3d/Zt+isHj9nbyoz6HhqYCTjqhu4LKeC0C5m45utKPiaPwq/R6fR88SM9/HRO79E8vjj4dRTIcx7iYuFEP3YdJ8GKjdrGcHB2u1FDbmAWinFnbKnrffLezozb/UPYPd5l4GPZ3u++4sSo45fw9VtC1dll9M6r39ZYxGPbr0JBw4MOj16nXfTbwVKRUAhXOKVOZWffvqJc889l/h4z7Jdiz6sOZiP6t+zn0eL5mz220t/5/TfhvLM7ls96i8jTQ3mDUYTSalDPR5fVzR2G8f8+x4MjQ3kT5jKtiuu79Hz9TazRsMzAyMp8jGwMdivy/3xzQrqs3l+170AXDPiTkaFTXT5vGFhctMlhHDOcwklpPtm8tegqpafFXlY9rR5Zl6r1ZE40M3rSvPScZ1WAvlWvogJxq7VMLaqgUlVBzeoNdrquXfTVZQ2FpASMIR/TnzWK+dTFLjiCnj4Yaip8UqXQhw13A7ms7KyuPfee0lJSeGcc85Bq9XyzjveXWoj+hAJ5vsNBTA3rZ0uLM/H7GjEifiwU9WV5ZQU5AGQMng4+h7OajP2wzeJ2r0ds38gvz/0dL+vFfxxXAj5PgZCrDb+syufQHvXs/J1thru3XQVtbZqRoVN4rpR/3T6XHY7bN2qLq2XLPZCCFccWtWsqFGdmQ83xbjcl7mxkfys/QDEJQ/E5OaKwKQ1v7PohksZ+Mcyt9r3RzsDTKwL9UejKFydfXDFrV2x8+i2m9hXvYMQYwSvzfuBQKN3Nrdv3AgrV8LHH8viTiFc5dLaGIvFwueff85rr73GqlWrWLBgAbm5uWzevJnRo0f31BhFX9AczEe4vu9NHFkUIPAiOzVWHTNPOZ+Tpk2jsLHU7f4y01vVAR420gsj7IKi4F9aAsCfdz1EXWz/Xi20OciX3yLUqPof+0qItHRd4smu2Hl0641k1+4lwhTNC7O/RK91/jLwxx/w17/CrFnw++8eDV0IcRSxWsHaSTAfZnJ9g3TO/nQcDvXzLmWw+/vlh/7wJZF70wg/sI/9bvfSf1TrtbyeFA7AScU1pNZbWt57bfcjrCn+BaPWxItzviIxYKDXzjthArzyipqPJTTUa90KcVRw+i7uhhtu4IMPPmDw4MFcfPHFfPTRR4SHh2MwGND185kv4YT8fPV7ZGTvjkN4TAtM3GemoEJHyNk6In2ScOB+yZkDbZIUebavsVsaDatuvJM9515EyfgpPXuuXlZu0PFWonrXc2ZBJROrG7tts718LetLVmDU+vDi3G+I9nPtYUdODphMMHGiZLAXQjhv4cPx/LzWn2vPLee0k9TKJgf3zLsezLdJfjfUveuKf0khCRv+BCD97Avd6qO/2eNvolavJbHBwl+zDs7Kf5P9Ll9kvQHAI9PeZELkDK+eV6uFk09WE6sKIVzjdDD/4osvctttt3H77bcTKBslxaEsFrUoqATz/cLyd3PJqNezr8aA2eFZJvvWN10DejqYBwjw7/eBvAN4PSmMOr2O1Dozl+dUONVuXPgM7p/4KoGmAMaET3b5vJdcAuedB9HRLjcVQhzFNvyfD4yFnP8d3GbVvGc+3I09822S37k5Mz/kx2/QOhwUjJ9CdbL3Zpn7sklVDcSkFxFjsbWUovvswGu8mv4wADeMup9Tki/okXPLjLwQ7nF6z/y7777LunXriI2N5bzzzuPbb7/Fbu96Sac4ijz3HFRXw0UX9fZIhJdY7Dae2HUz7x94GqvD3H2DDiiK0hLMBwQFExHTM4/dA/NzmPvYPwkoKTwqNnP/EBVIeoAPJruDO/cWY+gmqYFdUT+rdRodZ6UuZmHy+W6fOyVFntkJIVwzYLBaD378cPVaYnfYKDGr2/M8mZnXGwzEpwxyub3GbmfIj18BsPsc12vc91c6BSZXNZDSYMWhOHhl90MtgfzFg2/gehdyrDijrEytLf/557JXXgh3OR3MX3DBBfz8889s376dYcOGcf311xMTE4PD4WDXrl3ddyD6P4cDjMbeHoXwULFOxx0RETwVZuCXws/4PPtldBr3ktaVFRVQU6XOGicPHo6mh9ZmT37jOQYtX8q0V57ukf6PJKtD/PgiNgSAazPLiDd3vXJiQ8lvXL9qIWWNRUT6R2LQuf53WVMDWVmg14O/vzujFkIczRp16me/v05N0OlJjfmGuloKc7MASEgZhMGN+464zWsJKCmiMSiYrPknuty+P2nUarA2XZpDrXZ0gMVh5t/bbubzzNcBuHXso9w98RmvX8M/+AB27YLPPpOtW0K4y+Vs9gMGDOD+++8nMzOT9957j7POOouLL76YhIQE/va3v7k1iOeff56UlBR8fHyYOnUq69atc6rdhx9+iEaj4fTTT3frvMLLZKVGv5Bp1/NoWBhvBiaB1USkT7xbNYDhkCX2Q3sm+V30ji0MWPkrDq2WDTfe3iPnOJIkN1gIsto5tbCKE0pruzzW7rDxyu6HyKzdw7e57+JrcC/3wRtvwEknqd/lhksI4aqGpg8OY1NKe09qzGft293y2t398gNX/ATA/uNPxW46eqeErRp4LiWChwdHU6PT4tP095Ndu49VRT+i0+h5dOrbXD3ith55GH/ZZXDnnXD//XJtEcJdLmWzb02j0XDCCSdwwgknUF5ezjvvvMObb77pcj8fffQRt9xyCy+99BJTp07l6aef5oQTTiA9PZ2oLsqcZWZm8ve//53Zs2e7+1sQ3lJbCyecAOHh8Mgj6t550WfV2NQbK3udDrR2Ik3uL43v8eR3isKUV58GYM9p51E5qGdr2B8JEhpt/HdHHtEWO93d++i0eh6a/Bbf5bzHnRP+4/Y5MzPVZ3Vjx7rdhRDiKFZm1oERaos04OdZjfmsva33y7t3XcmaOQ9jYwMZp5zpVvv+wA68khTO7kAffOwOdMrB/VqDgkZy34SXifaPZXbcCT02hoAAuPVWCAvrsVMI0e+5XWe+tbCwMG666Sa2bt3qctunnnqKq666issvv5wRI0bw0ksv4efnxxtvvNFpG7vdzkUXXcT999/PwIGStKTXFRTAn3/CsmUSyPcHTZMUvj6VoLUR4UEw39PJ7wb+9jNR6Tux+viy6fpbvd7/kcLcNGWhVSDCYiOmm0B+X/VO9XiNljERE7l/yosYde5vgfnPf2DFCjjrLLe7EEIcxWoV9XazukitfhTrm8zJcRcxJnSmy31lZ6S3vE5y8wFu9vS5LHvseYrHTXKrfV+nAO8mhLI5xA+9Q+GGbdt447fz2Fq2Gp1GR6R/JGcPvqzHAnmHAxRFzWIfEtIjpxDiqOFUMP/oo4/S0NDgVIdr167lu+++c+pYi8XCxo0bWbBgwcEBabUsWLCA1atXd9rugQceICoqiiuuuMKp85jNZqqrq9t8CS9qrjEvKa77BcWohok6fQVoIMLHvWDeYbeT2TSDEhoRRXCYa/siu6OzmJn0xnMAbLvsWhoiOl/J01fZgc9jgrl7WAxFRj0RFhvGLpLdme2NPLX9Npb8eSobSn4jJiAGH4PnS0gNBpgzR73xEsITcj0+Omn81O8xwWqOj5Ehk7lh6CPMj3E9GWd2xh4AdHo9cUkeTOgcxcvrP4sNZmV4ABpF4bZ9xaRveZotZX/y0u4HiQuMI8DYs4lk338fFi+G4mK5rgjhKaf+C+3atYukpCSuu+46fvjhB0pKSlres9lsbNu2jRdeeIEZM2Zw3nnnOV26rrS0FLvdTvQhQWB0dDSFhYUdtlm5ciWvv/46r776qlPnAHjkkUcIDg5u+UpMTHS6rXBCczAvKa77hcamWWCbVa0F7O4y+8LcLMwN9UDP7Jcf/s2nBBYXUBcRxY7FV3u9/95WpdfyVGok30cHUWHUszPQp8tAPr8uk5vXnMVPeZ+gQUO1rRST3uTRGNasgYYGdQeN7GcU3iDX46OPHbDr1Q+QxKiDCTubq2y4wtzY2JL8Li55IHoXVwPqGhsZ++GbBBYXgF7n8vn7unqthrfig1kaFQTADQdKmV1Rz5XDbuOkxHN5Ze636HVu78B1isUCL70Ea9fCli09eiohjgpO/Y9955132Lp1K8899xwXXngh1dXV6HQ6TCYT9fXqzfr48eO58sorueyyy/DpofoSNTU1XHLJJbz66qtERDg/y3fHHXdwyy23tPy6urpabiC8qTmY7yLHgeg7qszqMz5LrZp1ONLNmfme3i+/5/hT0dmsVA8djs3Xz+v996Z0fxOvJIdTZdBhsju4aX8p88rrOjzWoTj4Nf8rXki7l3pbLSHGCJ6a8T9mxh7n0RiKiuDqqyEwEDZvhqAgj7oTApDr8dGoodWTQFNTgrWcun0EGFzfKJ2XuQ/FoV6bklJdX2KfuH4Vk956gaE/fsXH3/95VDyldCh28mv28bOhnLWj52PzVz/Mo/94hrP9zycoIAZfgy9Pz/rosIzHaIQPP4Qvv4S//vWwnFKIfs3px29jx47l1Vdf5eWXX2br1q1kZ2fT0NBAREQE48aNcym4bhYREYFOp6OoqKjNz4uKioiJiWl3fEZGBpmZmZx66qktP3M0fajr9XrS09NJTU1t185kMmEyeTZDJbrQHMy78W9AHHmyKtSPBUe2eqPkToIi6Pn98pbAILZeuaRf1Uqr1Gv5OiaYP8L8UTQaEhss3LOnmMRGa4fHp1Vu5uW0B9ldtQWAceHT+e+sT4j2cz/PQbP8fHWxTXy8+iWEN8j1+OjT0GodtdGhYHfY+Ou643Aodh6f8B2hRucnAtrsl3cjmB/4288AHDj+lCM2kFcUhQZbDTXmcmotZVjsDQyPnNXy/rbCZdSYyxkWOYPwps/6/Oo97Cj+DYu9AYu9gRpzGaX1OZTW5VDekI998IlwwTdqB6Xp+C69hQXaAYRNCMOgPfy5joYMgWefPeynFaJfcnktjVarZfz48YwfP97jkxuNRiZOnMiyZctayss5HA6WLVvGkiVL2h0/bNgwtm/f3uZnd999NzU1NTzzzDPydL+3SDDfrzQvh0SpJdgQjo/OvVnvA+k7W14nDx7ujaGpFEW9CdNqwK9/zMg3ajX8FBnIj5GBmHXqje/8khpuyCxrKRXUWmF9Lm/vfYLlBV8D4Kvz4+oRd3DViNu8dmM2fjz8+iv4+h6x97xCiD4g2G7H50QHNiOUXKJDH1qEvy6QenutyzXms/e5H8wb6utIXLcSgP0nLnKpbU+xO2zkVqeRWbmNrIptZFZuJ79mLzaHueWYUJ8YHj/xYMnmb9OfZX/FJq6f+lpLMJ9VuZ2PdzzY6Xn0+3/FJ38bI2pquKnCh3GTvkanPbzbDCwWdcVXUpIs5BTCm5wO5u12O0888QRff/01FouF+fPnc++99+Lr617d4ma33HILixcvZtKkSUyZMoWnn36auro6Lr/8cgAuvfRS4uPjeeSRR/Dx8WHUqFFt2oc0pcE89OfiMLLZ1AxZsme+X4iIadrHGLucKJ8Et/qwWa3kHtgLQHR8En4BzuXRcEbKquWM+uw9tvzlenKPO9lr/fam51Ii2B2obk8aUtvINVnljKg1tznG5rCytuRXluZ8yIbS31FQ0KDh9JRLuWXcI0T5xnp9XAkJajAvhBDuMgKWnzU4HBr0lyuEm6L5ZM428hsKcCiuZT9rnpnXaDQkDhzsUtvEtX+gt5ipSkimbFjv3jPmVafzZ/anrM75nGpzSYfHmPT+BJsiiA8cTKRfFBqNBg0wJmYOob6RpIQMJjpAzTk1LHICx6RcgI/eH5PeD3PUCAYTQJJvInEBAxhsjCOgVodOA/RSGbg334TnnoN771VrywshvMPpYP7hhx/mvvvuY8GCBfj6+vLMM89QXFzcZQk5Z5x33nmUlJRwzz33UFhYyLhx41i6dGlLUrzs7Gy0kuryyPa//8Grr0JWVm+PRHiBUVEIbKiipqHM7SX2uQf2YrOqS8O9mvxOURj9yTtEpe8kavfOPhnM1+i0ODQQbHO0/GxonZkKg44rcsqZXV7fUnZOURQ0TdPiX2W9zavpD7e0mRo1j9vGP8HIsAleHd9rr8GAAXD22RLICyG8I/e3/eyqMmJutSvKoPHBrFic7sNut5GXmQFAVFwiPn6ubbFqXmK//8RFvbbcaHfJaj7d+TCZlQdLOfsZghgcPokh4ZMYGjGFgWHjCPeNw6Tv+AP4msn/afez0dFzGBQzh42+sMoffvMH/2o4vxRC7dDbqf4UBbZuVWfnE9ybIxBCdMLpYP6dd97hhRde4K9N2Sp++eUXFi5cyGuvveZxsL1kyZIOl9UDrFixosu2b731lkfnFl7icIC+ZzOgisPjiupq1v1yE69kfEREvHPlHw/VU8nvYnZsJip9JzaDkV0XXe61fg8XBXhuQAQTqho4ubgGo9WCxlLHSTV5XKYPx1ej/h/6Nf9LPt7/EicknMsZKX8B4LiEM/kq+y0WpVzMOalXkhLo2qyUM3buhCefVP87T5woi22EEN4RG2Wnwt9GTu3B+wQ7ti5atFeYk4nVoq5YSkwd4lJbY20NCRvVkscHenGJfaR/Evk1e9Bp9EyKP4kTB13B5IST0buxPUoBsg2wwwfW+cEmH7C2uh23aiDcDkfCLimNBp5/HtLToVXaKyGEFzgdfWVnZ3PyyQdnwRYsWIBGoyE/P58Eecwm7K6XmBFHplUbfVj5n4eIDzuT5L/kuNVH6/3y3kx+N/qTdwHYu+hsGr1ct94d24uWs63wVwaHT2ZKgnqDWFqXw2Mrz0ZRHCiKAwcKiuIAFKypJ2Ae+wH76zL4/Pvp2K0Ha2y/MPM7BgaquQVKGwvJrN3DrsqNXOX3f5j0JgboBvDbaTloNT23UmnQILjySqipgSlTeuw0QoijSJrRyHMhIfjV2llQW8/b+59gb/U2ZkSezpjQmU73k71vT8vrpIGuBfNhB/Zi1xuoTkimYpDrifPcVWepZEvBz8xMPgeAxOAhPDT/BxJDRhDi4/rTUgfwQyBs8IWdPlB9yJR7ggXm18LCWhjb6IXfgBcFBcGiIyNVgRD9itPBvM1ma1dyzmAwYLV2nGVZHCVyc+HccyEuDh5+uPvjxREvv1jPrk1JjBkXx7iwnd036EBzJnudTufyDEpnQjP3kbRuJYpGw/bF13ilT2eZbQ3sKv6dLYU/c+GYBzDp1cR7+8o2sPzA22iAGUlnodVoCPIJpaKhoINeNDD3DgCUPV+1CeR1Gh0OLMQExKDX6jlt4EVMiJrGxMhZBJoO5hvoyUAewGSCBx+UGXkhhPfssBt5ISSEmBobC6hnV+UGtlb+ydjQeS710yaTvYsBeeHoCfzvwx8JsDm/rN9TVY3F3L/8JKrNJcQEDGBa4smY9CbCfOe63We1FnabYFdTIG9yqEH79HpYUAuDLUfGTHyzvXth6VJYskSS3gnRU5wO5hVF4bLLLmtTUqaxsZFrrrkG/1aloT7//HPvjlAc2XJyYPVq2QTVj0wZ08g7jxWQoXVvtUVjQz0FOZkAxKWkYjT5dN3ASaM+fQ+AzHnHU5OU4pU+u6IoCmklK1l+4B12Fv+Gxa5Oc0yIPZFZyWeg1+qZmbQIX4MP42LmExOgltMM943g2YUb0Gp0aDRatGhBo2F9aDCvRyfgZ7Pzlv/ZRC26GF+9P756P4xaU8veeIBhoWMYFjqmx3+PzWpq1HryzXksJXu9EMJbShvV6ePCAzrQQEGDml8nwse1mpc5+w/OzCe6UZbOHhhEVVioy+3cFewTxZSERaQV/0GkfzQmveclGUMccGspHDBAmANGNKoJBo9ENhvcdpu6fQukFJ0QPcXpYH7x4sXtfnbxxRd7dTCiD8rPV7/LI9d+45GxwXw4O5jTs0pJ3Od6++yMdBSHmtzNW0vsfSorSF3xIwDbL7/OK312ZU/pWr5Me5I9ZWtafhbpl8SMpNMZGT2FYJ8QACbELWBC3II2bXVaHYPDJ7b5mQ14oOm+9YpKHWP9vb/f3V0WC1x0EaSkwCuvSCAvhPAue1MMGxlgx1JjpsSs3jdEmZyfBFAUpWVmPjgsguDQcKfbamw2FL0eTIcn7LU5rOi1BrQaLddNfgatBnwMriXr64pBgWPrvdZdj9Hr1W1bzz4r2euF6ElOB/NvvvlmT45D9FXNNeYlmO83VmutVOn1fJ/+H2brznG5feaetJbX3qovb/EP4Pe/30/Mnp2UjB7vlT47klOVxqc7H2Zn8W8A6LVGThx8BScOuorUsHFtZs9d8XMg5BvUrMKXVXhzxJ7bvBkyMqC0FHy8s4hCCCFaGJp2Co0YYKFobS4KCiatL0EG52uklRUVUF9bA7heX37ay08Ru3UDm67/O5kn9Fz2NUVR+CrtSfaVb+DWme8T4R+NUef9Bwh+ite77DGnnQbXX6+u+hJC9AxJPy480xzMR/R+MjLhHQdMQQAE5CqQ7Hr7rL0Hg/mUwd6ZmXcYDOw/9kT2n3+JV/o7lKIo/Jb5Hh9uvx+bw4JOo2dB6mIuHnsvkf6JHvVt0cD7Ierrv5ZBwBF2IzZ1Knz5pTojL8/khBDeVt/0ENTkUFqW2Ef7JLr0cLTNfnlXgnlFIWntHwQUF2Lv4aeV36Q/zbd7/gvAgYr1JAa7/jC8K2t9wayBk2q92q3XlZaq+VcCAyEmRgJ5IXqaBPPCMxLM9ysVWi01vmpyt7BvboYleS73kbVvNwB6g4H4lFTvDa6HbsQabXW8u+UO1uZ+CcCkuBO5furzxAYO9Er/3wZCqR6irHBhlVe69Lp588DPr7dHIYTojxqayhcbHQr5DZkARPq4lmfH3eR3oZkZBBQXYjOayJ8yy6VzumJj3vd8vVut/37d5GeZk+LdQB7goxA18Z0RuOAIvZZYLOpMfFUVfPQRDPFO/lshRBd6NjWy6P+ag3lJf90vpBvVJYHaPIUIk+tLyhvr6yjKVWde4lMGoffCI/nJrz7DmA/fxGRu8LivQzkUB0+sPI+1uV+i1ej4y/hHeXD+914L5K3AJ8Hq6yVlYDqCZuV//BGKiiA4WAJ5IUTP2VOkXgdW/eLbMjMf6WLyu7Yz885HiElr/wAgf8oM7L6+Lp3TWdmVO3l9080ALBp2A4uGL/H6OaqastgDHFPn9e69pqAACguhvBxCD1+uQSGOajIzLzyj0YDRKOtz+4m0pmB+emg95/01l6Y8dk7LzkhHUdSINcUL++V9KssZ+dWH6Gw28k48BXOkd/+daTVa5g1czJdpT3Dn7A8ZHTPHq/3X6GCoGfYrcGZ198cfLtu2wa23qosdNm6E6OjeHpEQor+qbyqW5qiFAnNTMO9C8juAnAw1k72vnz/h0XFOt0taowbz2ccc59L5nFVtLuW5tVdisTcwLmYBf530VI+cZ4MvODQw2Ayxth45hVckJ8O330JDAwwa1NujEeLoIMG88Mz330N1NeS5vhxbHHnSmmbS87NXUGf1x1cX4FL7zL27W14nDx7m8XgG//wdOpuNkuGjKRs2yuP+OnLq0L9yypAr8TcGeb3vMDvcXwzhNjiStg3GxsLgwZCaKjdcQoieFRqtPhU+dnY9G77JBlybma+prKCitBiAxNQhaLXOLSr1qSwnMn0HADmzF3RztOtsDgsvrL2a8oY8YgMHcdfcj9Fpe+a2el3T6ql5R/h+eZ0Oxo5VM9kLIQ4PWWYvPOdwqJ/gos/bolNn1TP3/4hR6/oe9dbJ75IHeTgz73Aw9IcvANh9rvcS3xXXZfLkqguoaCgkzDcMP4N/jwTyzXwdEHgELa8HdVfMjz/CBx9IKTohRM+K1dgZarGQaLJQ2KAG81Em5xOLZreqL+9K8rvEdavQKAqlQ0dSHx3j/ICd9NnOx9hXvgE/QxAPHPstgaaeWVduBzY27RCYdwQusa+tVcubrl4NcXESyAtxuEkwLzxntfb2CISXpBnV+WPDFxez+Q/X8yB4M/ld7NYNBOfnYPHzZ7+XygkpisKbm/5OWskqPtpxH35erP3bmSAXtyr0lOpq2LRJfR0RAQkJ4N/zv30hxFHuvrIydmZmMiNrL1ZFrRYSZnJ+b0/r/fKJLgTzlUkDSD9+EftOOcul8Tojs3Ibv2S8DsA/Zr5LYrBr5fJckWaCWh0E22FsY4+dxm0vvQQbNsD990sgL0RvkP92wn1r1sBNN8Ho0fCPf/T2aISHLEC+j1oQ2PL9FMpPyXGpfevkdwleSH437Ht1Vj7jpNOx+Xkn6tRoNFwx4T98tOM+bp3xhlf67EijBl4Kh4XVkHIEPOsym+G662DLFnjlFbjsst4ekRDiaJGWYeTnNb5s16oJcyNN8Wg1zq/my9nnXlm6kmGjKBkzAcK8O2Nud9h4Z/PtKDiYnXwO05MWebX/QzUvsZ9VB0fiGshrr4XGRrjiCilDJ0RvkGBeuG/fPli7Vh7F9iOn/vEMX+UbGL3Aj+HjprrUtnXyu2QPk9+ZqipJXr0C8O4Se4CBoSN45LifvNrnoZYHwNJA2GmCBXXQ2yvZrVY1a72PD0yY0MuDEUIcVf7c5MOND0QzbpqBy6+7DYuLmVWbl9nrDQZikwa4dnKT0bXjnfDr/rfIrtqBvyGYa6f81+v9H6o5mD/2CFxiDxAQAK+9puZCFkIcfhKFCffl5qrfY7y/F00cfkbAvucbyF/OzEW3khgwxqX23kx+Z2io58DsBfhXlFE+dIRHfQGszf0KX30Ak+NPJsgnxOP+uqKg1pYHtRbwkbCXqflmy26Hgd6puieEEE5JSLBx5kk1hKVoOTvlegoaSrArzgX05saGlhVfccmp6J2cPEhYt4rG4BBKp3m3trzdYePXA28D8JcJjxLm27P3P8U6yDSCVlFn5o8k27erCzMjIiSQF6I3STAv3NcczEuN+X5jb00mADG+SS63bZ38LmWwZwF4bUwcv93+oFf+bRXWZPD25v/DYm/gX/N/INL/RI/77MpuE2SYwOiAM6t69FTdamgAX181P2VcnCyBFEIcfnedF8HmS038K60UR6nidCAPkHtgX8uKL1eW2E97+SmC87L5+enXyD7meJfH3BmdVs9dc79hQ94XnDTkaq/126xRAxW6g+XnrBo1g70ChBwh+VdALWR0881w/vnwv//19miEOLodCZNGoq9qDualSHW/YHPY2FdZBNkz0FYMcbl9czCvNxiIS/bC9K/JBE6WIOqM1W7mlQ03YLE3MDp6LhPivHdT15nvmmblT6yF0F68+aqpgdNPh//8R30mIoG8EKI3NGg0ODQasqt2sL82DZvD+ULprZPfJaU6d10KKMwjOC8bh05PwaTpLo+3OxF+MVw89h60Gu/eQu81wvVx8EGI+ms9MNgCjxXCS/lePZXHSkrU76mpUhFFiN4mwbxwnyyz71duDPbFPuVhWLqKR/7qWk3exvo6ivLUkkOeJr+L2b6JsP17wOR6abxDfZH2ONlVOwgwhnHb7Pe9fvN1qBot/NaUq+/iyh49Vbd++gkyM+Hbb9Xl9UII0RsamqK9N3f/iyXrT6S4MdvptjkZB8vSOZvJPmHjGgCKR4/DGhDowkg7Z3NYSStZCQqEeHmrlgP4JBhujoM8IxToIdGqfkXbIdjR+3lXDrV4MXz3Hdx7b2+PRAghy+yF+ySY7zcU4M3IeDjlRnRJ+USVBrvUvk3yuyGeLbGf+tJTRGSks+Khp8lYeKbb/aSXruGnfa8AcMuM14nwi/doXM5Y5QdWLQw0w5heLiF01lkQFASTJ0Noz5Q/FkKIbpU26sAIxnVXo0/YQIRPnNNtm2fmNRoNiQMGOdUmvimYz5sx1/XBdmJNzhe8tfnvTIo7iX8t+N5r/Zbp4N+RsLWpjvyCGnio6Mi8OTeb1S1ber26T36I6wv4hBA94Ej8vBB9gd2uZtWqqJBgvh/I1+tp0BvBYWPqVZdy7YCHMVucn8Vuk/xukPvJ74JzMonISMeh05M74xi3+3Eodj7cdh8AJwz6CzOSTne7L1esCFC/n1rT+zMpOh1cc436XQgheotFr34aTvdZyGVTV1Fvd+5Jp91uIy8zA4CouER8nChRqrHZiNuyHsCja8ihai3lGLQmxsZ4r0+Ax5sCeV8H3FkM51T3/rWjIw6HWoG4vh7eeAPCwnp7REKIZhLMC/fodGppupISKC/v7dEID6U1p6ItzyDRNwa73bXbiay9u1pep3hQlm7gCrVkXN6UmZhD3b9bWJn1MTnVu/A3BHPFhH+73Y8rynSwrWlnwKk1h+WUHfrySzjhBBgwQAJ5IUTvUgCHj3o9OXlBLQ6cTyRSmJOF1WIGIHGgc9PAkek7MdbX0RgUTNnwUS6PtzMnDr6G4wZeSnRAgtf6tKOWLwV4JwfGmL3Wtdft2we//abO4xQXwyDnFkkIIQ4DCeaFZ+x2yX7SD+xuDuZL04gNiMehuBrMqzPzeoPR/eR3isLAFT8CsH/h6e71ATRYa/gy7QkALhzzT4J8wt3uyxV/+INDA6Mb1L2OvWH5crjtNnjpJUhL6/54IYToSfl6PVatBp2ikBpspazB+eR3OfsP7pd3Nvld/OZ16nmnzkLx4tNMDRoSgweh1XqvzwK9ui3L5IBRR3AgD+qS+o8/htpamDGjt0cjhGhNgnnhGZvzF2Zx5GoO5iN2jWD50+PRn9LIsLHOTS+3SX43wP3kd+H70gnJy8ZmNJE17wS3+gD4fs/zVJtLiA1IZdGwG9zux1Xza9WlkqmWw3bKdgwGiI2FM89UiwEIIURvSm+6HvjVFHLd6mM5Of4vTA4/zqm2rTPZJzoZzG85/3LyJ0zB5qXtf7uK/8Ck92NczDFeDeRBrR8P6jXjSM9GrdOpK76knrwQR54j/fNDHKlefRWmTYNXXuntkQgv2N18w7U9ma1/JFNT5fxzvjbJ7zxaYq/OymfPORarf4BbfZTUZfNzxusAXD3pSQy6w3fnEeiAM6vhuLrDdsp2Zs2C1avhgQd6bwxCCNEsvSn6s2VUk5Ola7lWOKN1Jntna8wrej1FE6ZQNmKMawPtgN1h472td/HI72ewMe87j/s7VFbT5WnwETorX1AAl18OeXnqQ2IJ5IU4MkkwL9yzaxesXat+2os+L61pGvesicX89f8ySBnifESauefgem5Pkt/Fb1GXR+4/+Qy3+/hs5yPYHGbGRB/DtMRFbvfjroBeqivffH9sNEJSEvj59c44hBCiteZgvmHZUNi/gCgf5/acK4pCdlMwHxQaRnBYhPMnNXpnWdK63K8orssk0BjG9KTTvNJna/FWmFYHUxu83rVX3Hsv/Pkn3H+/XFOEOJLJMnvhnuaydNHRvTsO4bFqrZZ8vfpRMC05E0OkjvJK5x/BZ+45mPxuwFD3y9J99czbxO/aQsHMY9xqX9lQyLaiX9Gg5Zopz6A5jLkcHIAB8HV+0slr1qyB//4XrrsOzj9fUlgIIY4cV1ZVsf9HDd+s2QkhmUT6OFdutKK0iLqaKsD5WfkJb7+IT3UVaZdcScWwkW6PGcChOPhuz3MAnDXiVnwN7q0W68oxdXB8LcQfobsVH3gA7rsP3nyzt0cihOiKzMwL90iN+X6jeU8jNQW8tP4BlzPZZ+5VZ+YNRpP7ye9Ql0fmzjsBu8nHrfYhvjE8tOA3/jbtZQaGer7E0lkHDHBpIrwb0jslhX75BTZuhIceUusACyHEkWKUxcLdA/+A0bMIGLkSf32QU+2y97XaL+9MJntFYfDP3zL8u8/wKy91d7gt0kpWUlibga8+gEXDey73irEXHgB3JSfn4OuBA2HZMkhO7r3xCCG6J8G8cI8E8/2GQ6MhtSQDU/Zm9LlzKSpwfla+rqaa4nz16p+UOgSdzo3FPoqifum1YPBssVBc4ABOGnKlR324ankAlOohx728f25pbFWm+c471a+tWyE09PCNQQghnLGnTr1GRPkkOt2mTSb7Qd3PzIdkHyCgtBib0UThhKmuD/IQvx14H4BjB16MnyHQ4/46YzhCgnlFgUcfheOPV5fWh4ZCfLys9BKiL5BgXrjOZju4V16W2fd5Uxsb2Vdh5+XNY/j53rt5+Fbnk9g1z8oDpAxxb4l9xN40zrn8dMa/95pb7QHK6/MBCDQ5N+vjLQqwwl99vai658+3ezdcdBFce63665AQGDpUnZUP8P4qUCGE8NjeGrXaSaRPvNNtslslv3NmZj5+4xoACsdPxu7j3uquZhUNhWwp/AmAU4de71FfncnVw1YfqO/FYLn5OTqoQbvVCg6HWtY0MlICeSH6CgnmheuKitT68jodRLiQlEYcsRxAvdVBbEIDUbHO11ZrvV/e3WA+edVyggrzCcnNdKt9SV0Wt/88k2dWL0b9nRw+u0xQbAA/B8zrgSz2itJ2Fj4gQF1Sv369WoYuKkpuuIQQR6ZVPj7cGhHB879dCf9NR5N5rNNtmzPZm3x8iYrrfkY/fpMazOe5mXOltZVZH+JQ7AyPnE5K6CiP++vIL4FwWyy8EN4j3XfJZlNn4efPV68noN7OPfggLF0Kjz12+MckhHCfJMATrquqUjdTORzqFUD0eRaNhskzq3jz+ywKi3ywOblv3uNgXlFIWfmr2tdxC11vD6SXrkVRFPQaHUadZzMyrvqlaTZ8Qa33k9+tWKHecI0fD488Ano9jB0Lb72l3oTFOz/JJYQQh90KPz+eCgtDP00PTwURpHFuW15dTTWlRepqq4SBg9Fqu5530losxG7fBEDe9DkejdnusPF75v+AnpuVB8hs2pY1zPln516j16tzMnl5sGoVnH76wWz1KSmHfzxCCM/IzLxw3YgRkJEBf/zR2yMRHmrUaHjfUkjqtyfyf3/cDIDd4fxUb3Mw7+vnT3R8ksvnD8naT0heNnaDgdxZzs/atDYr+VweO+FPrpnyjFvt3dWogd+agvnBv6tZ5VtbuRI++wyysg7+rKQEXnsNPvig7bFPPgkLF6oBfDM/PzhwQO0nLk59fhYeDpdeKoG8EOLI11yWzsf/U7h8FsOGO/fEM2f/3pbXzmSyj9q9Hb3ZTH1YBBVO7K/vyraiX6loLCTQFM6s5LM96qsrh7PGfFmZet2pqVF/bTTC44/DF1+o36XsnBB9m8zMC/fZjtB6KsJpW00mLh48B5L/IPTtE3E4Du6h605VeSkVpcUAJA8e3u3sSUdSVqmz8nlTZ2H1d3/T96CwUfgZ/N1u76w3/g0bf4er74LyBVCvhfAaeHIRDEhRlyg2e/NNNRB/7LGD2YCLitSbp5gYuOACdYm8VgvZ2bBvn/p+aKi6hP7009Wg/+STZT+8EKLvaa6UUlf7AySvIiniLqfaZWe4lsneWFdLdWwCJWPGe7zvaMWBdwE4PvUyjDrv1Ks/VKMGCppm5gd7cWbeblfzqhQXwzHHHPyjePhh+PZbqK1VV3kFB6s/H+F+JVkhxBFEgnnhPgnm+7ytpqableIdVH76KA98PoLjziwieXB9t21bJ79LHux80rzWUlYtV/s67hSX25pt9VQ0FpIQOARf/eGZWshMh4xdUFYEK5oyx59VB+vGqssTk5IO3kDNmaMG4WPGqO9pNOryxosvVgP2wYMPHnv33XDLLTB6tJp4qNn55x+W35YQQniVwsGZeaU0DX99IMEG53LsuJrJPnv6XLJnzkMX7FnW+ZK6LHYW/wbAKUOv86ivrmQ1BfIhZgizH/z5Dz/A8uUwbRqceab6M4cDrrxS/f7ccwcf7L7/vvp18smwZIn6M7v9YLs1ayAsDEwmtb/9+9VrUnMgL4ToPySYF677299g7Vq47DJ1867os7Y1B/NFW6navZi8onDmnlLiVNvW++UHuLFfPjA/l/D9e3FodWTPXeBy+5VZH/Hh9vs4ech13DDtOZfbd6e0EP5zO1x/HwwZBb6+8Nfb4ZIlED8bHm+6IbstBgZubt/+oYfa/2zgQHj33fY/nznTq0MXQoheVazTUaXToVEUlFWjCTGeSONwHb7+3Scpzd63GwCtVkd88kDnTmg0YDd5ljNlV7G6dXB8zAJiA508rxvSmmbjK/8AS4y67B3UWfWvvlIf9jb/TFHUfe3NmhP1Nzaqux1LSyEwUF3hpdfD8OFqAB8SAoMGqQ+M77wT7nJuUYQQog+SYF64bssWWLdOXScs+rStzXcMhVs58ZpfCK2bRmxig1NtD3iY/E7Rakg75SwMVivmENcKpCuKwq8H3kZBISXEvVUB3XnpQXVJ/bN3w4dNN1Ozjle/fwtogJlAz93yCSFE39Q8Kx9nNVP21Vvk1ZmomrUdX/+uN4mbGxvIzz4AQPyAVAzGrpe6G+pqsfn4oHihFvzcARczMnI2Qb7eK3FaXgI/fwpBoXBS00qr0qYFCoY9oESrK7d0OrjwQvWB7/TpbRPRvfuu+v6IEQeD+WuugZNOgoQEiI09eOyug5flFlLxRIj+TYJ54brcXPW71Jjv0xTazswvWHAc4doiqmoM3bdVFLL2qMvsA4KCCY+O7aZFe7Ux8fz5tzvU+mou2lu2jqLa/Zj0/sxPvdTl9s74691gt8I/n23/3inAVEC2sgshRHu7m4L5wTYHg6cqFJU34uPrxKx8xh4Uh3pcihPbt8b/7zWG/vAlG6/7O7suvsKzQQOp4WMINHknmFcUePF++ON7iEmEc6+CoCAobHqG/ty1MLpVoD17tvp1qIsvbv+zAQPULyGEkGBeuEZR1HomoGbxEn1Wpl5PtU4Hdgvasn3EByZSV+PcI/zy4kJqqioAdVZe4+6j/+aVAS5amfURAHOSz8HPCzMyHYlNhNeXdl59cTDg+mMIIYTo/5qT36VYrdz6ShHpJaVUVnX/eZ+1t9WKr8Hdr/iK27IeY30djeHO7cfvjNVuxqAz4Wvw9aif1jQauPNZWDoDomLV/eoGAzTn6h8tM+ZCCC+Q0nTCNaWlYGna8NU6U5foc1qS35XsIkEZQ/qWcIoLnQuu2yyxdyP5XfSOLUTv2IzG0P0qgEM1WGvYkP8dACcNvsrl9l2pr4V9O9XXERGdB/IA3luIKYQQ/UvzMvuC7BWsyF2B1db9rDxA5p5WiVWHdH1tMVVVEp6hJsvLnzLDzZGqyVRvXTqJ59dehdnWffJXVwQHw3V3wdl/UQP5OqCy6b2RXj2TEOJoJcG8cE3zEvvISLdnVcWRoSWYL9yKf9ZZ/P2ysbzyaKpTbTP3erZffsJ7L3PK369m+Jcfudx2Xd7XWOwNxAcNYXjkdJfbd8bhgKfvgJvOhN++VhPeHaoB2AYYAc9SLQkhRP81wGplQEMtP254kttW3ozd5txC0OYqKXqDgfjkrq9HsVs3AFA+cAiN4e5PLqSVrKLeWkVBzV78DJ4/pt2xHv73HGg1akb51vyBzcAW5IGwEMI7ZJm9cE1zMB/r+h5pcWTZ2mq/fITfSGITG4iI6To5UbNMD5LfGWuqiNmmpn/PmXOsS23h4BL7Ewdd6f7y/g4oDtAb1J0koya0f3838C9gPTAf+MVrZxZCiP7l2ZISLqnJYPHPF5D580d8nmHn5PMKu2zTUFdLUW4WAAkpgzB0M2EQt2U9APlTPSsHMi72OO4/9md0GrvH1xRzIzzxdyjMgaBAuOG+9sfogCEenUUIIQ6SYF64xm5X060mJvb2SISHdrQK5uefEsVdV20gr8AXRem6ncPhaEl+FxIeSYiLMyJJa1eiddgpTx1CTWKKS23zqtM5ULEFnUbPcamLXWrbHZ0e7vwvXHM7jJ168Od7geeApU2/1gAXevXMQgjR/wwMHswE3Ux2lwZhbijo9vjsjHSUpgtQshMPiVuC+WmzPBsokBo2lgg/z7cOGk1w8U3w1Ztw+S2dH9d1jn4hhHCeBPPCNaefrn5lZKiBveizNhzYR/jvl2Mr2UHKkKtxOOg2kAcozs+hob4OcG+JffKfKwDIPPYkl9v+kfUhAJPjTybE1zvp53ZthBET1f2MsbFtn1N9AdyBmvlfA5wFPAD0TDE8IYToPywaDUv+Vs64YzOxKt3PeDcvsYfuc7H4FxcSnJ+DQ6ejcOI0t8eoKAoajQZfvWeJ7xRFTXin0cDC8+EvN3acc0UBDMgeVyGE98jniXCdokgg3w/kVmdiy1+HnwJRfjHY7c4tL/Rkib2usZGEjasByJp/okttrXYza3I+B+CkIVe71LYzX74Ft5wD7zylVlo89Obrd9Sbr9nAVuATJJAXQoiuZOv15On15DSUEBBqZujoGqLju9/CldUq+V1KN8nvHHo9Gy+5mt2nn4c1wP2KJi+su5pX1i+hrC7b7T7Wr4DrFkJJgfpQuLPkqRXAJOB0IMvtswkhRFsSzAvX2Wy9PQLhBYl+Mbw57zVunPAP/nXzSP51y3BKCrpPanggfWfLa1cz2SdsWoPebKYmJo7yoa49CNha+DO1lgpCfWOZFHeCS207oiiwP01dXh8Wrt6EHaqm6fsVwGiPzyiEEP3ffeHhJAwcyIyS75n20QRK6sqcatc8M28wmohNGtjlsQ1hEWy56CpW3/WI2+OsaixhS8HPrMv7Gr3evYXviqImuzuwGz57BeLjO84NvBt1ZVctUAREuz1qIYRoS4J54Zq5c2HGDNizp7dHIjwUaAhgVuKxHJt4POtXhrH2t3Ccyf2TsWtby+sBQ10rrhO3eR0AWfNOxKmTtbIy62MAjktdjE7r+Q4hjQZueQx+3ANL7u34mOZgPtjjswkhxNFhd1M068grxPLntezb2H2VlLqaaorzcwBIHDgEvd6Jz3i9Xk0Z76aN+d+j4GBQ2ETiAp2r5HIojQb+8QRceiPc81zHl7UfgPOBPCAFWIZUQxFCeI/smRfOUxTYsAHq66UsXR93cnw8dRoNfysvw9dm587H08jL8SU4zNplO3NjA9lNdX3jkgbgH+hacZ3V1/6dfcedQmPKAJfHvCD1CsL9Yjlx0BUut+2MXt91Lsfqpu8hXjujEEL0b8015knTYfv+Cd5Lq+e+F3d12SZ73+6W190tsfcvLiRy9w7yZ87F4sE41+V+BcC8Ae6nNDUaYeY89asj/wWeb3p9LOpWrbCODxVCCLdIMC+cl5enBvI6HcTF9fZohJscwO++vtRptUzd9ikzTTFMn1dOZZWB2rquPxIy9+zC4VDzJQwaOdb1k2u1lEyYDAEBLjcdFT2XOSln4Gfwd/28h9i9BWISIbWb+kBjgAggxuMzCiFE/1eq1VLevGG8YjdRE1cycsCgbtu1Tn6X3M32rZSVvzLtlf+QO202P770vlvjLKvPY1/5BjRoOGbA+S63//17qKmEsy/v/Jj9HAzkbwIeR266hRDed0Qss3/++edJSUnBx8eHqVOnsm7duk6PffXVV5k9ezahoaGEhoayYMGCLo8XXpSern5PSZGZ+T5sv8FAnVYL1gYe/+kvNNoaAZxKgNd6iX3q8DHuDcDk3gJDDRp8PMw4DGC3wSN/g0tmqpnsu/IY8DUwzOOzCiFE/5fWVPLUr7YYoldwyh3vcd7Vud22y9zjfCb7+E1rAMibeYzb49xcoBYbHR45k3A/1yYnFAXeexqevRt++aLz45qL8Y0A/oME8kKIntHrwfxHH33ELbfcwr333sumTZsYO3YsJ5xwAsXFxR0ev2LFCi644AKWL1/O6tWrSUxM5PjjjycvL+8wj/wo1BzMD3B9ibQ4cmxtutkKrc5javQUGsti2LExiJKi7h/Q7GsdzI9wIZhXFBbdcCmznnkIn5oql8ZbYy7jkx0PkV+9G63G84+s8hIIDgO/gLb15DvT6x+SQgjRR+xqetCvLVWXzSf4J+NwdN8uq2lm3mjyITYxpdPjdBYzsds3AZA3fY7b49xS8DMAs5LOcLmt3QYnnQ9Dx8BpF3d+XPOVTpbVCyF6Uq/fpz711FNcddVVXH755YwYMYKXXnoJPz8/3njjjQ6Pf//997nuuusYN24cw4YN47XXXsPhcLBs2bLDPPKjUHMwn5zcu+MQHmkO5o8zRPHvOc+w4odI/n75WD59PaHLdg6Hg4y07QAEBIcQHZ/k9Dkj9qYRuTeNgSt+xOrv2jL5TQVL+XHfy7y5+R8utetMZCz890v4YhP4+nV/fK9/SAohRB+xsymYbyjYAA4tcX5dZ6UHqKmqpLQoH4DkQcPQdlTXrUn0ji3ozWbqIqKo6G6fVCfqLVXsLVNXdE5LOs3l9noDnPEX+HQ9BHaRHbU550qoG2MUQghn9ep9qsViYePGjSxYsKDlZ1qtlgULFrB69Wqn+qivr8dqtRIW1vmzT7PZTHV1dZsv4QaZme8XmoP5wVYrFrsVHx8HcUkNhEd3nUqoKC+buqZZ9UHDx6BxIRt98p8rAMidMRe7i8vsYwMGMTn+FI5Lvcyldl0JCID4bp5JWYAc1FJCQgjvkOtx/7az6fpiL9wBj1Zy74WLqKroeoF5Vuv98t0kv4vftBaAvGmzXa6I0mxH8W/YFRsJQcPczmJvMnW/23AoalnTRW6dQQghnNOrW3hKS0ux2+1ER7etuBkdHc3u3bs7adXWbbfdRlxcXJsHAod65JFHuP/++z0aq0BNepecLMF8H9cczA+or8Wu2Dn94nwWXZhPfmHX+9Ez3F1iz8FgPnP+ya4NFhgSMZWxMccQ7hfhcttD7VgPw8dDsBO15nYD5wCJQLbHZxZCgFyP+7vmZfZklYAlkNIiBwFBti7btE5+1+1++Y2e75ffUqgusZ+WeKrLbVf/oq7oWuBEhD6+6av79H9CCOG+Pr2C9NFHH+XDDz/kiy++wMen89m+O+64g6qqqpavnJycwzjKfuSNN2DrVpg0qbdHItxUodWSZTAA8NcPJrG/ch/gXPK7fTu3trx2JZgPzskkNPsAdr2enNnHujhila/B88R3xXnwfxfAFceCuaH745trzLtWfE8I0RW5Hvdf5Vothc314et+Y+aTF3Lvs7voYtU8cMjMfBfBvE9lBeEH9gKQP3WWW2O0OaxsL1wOwIzE011q63DAyw/C7RfDb98610ZDH7/RFkIc8Xp1Zj4iIgKdTkdRUVGbnxcVFRET03UxqCeeeIJHH32UX375hTFjug4sTCYTpqbZSOEhiydVXUVv29z8/6BiP/aGUmID1Cy+Nnv3txv70tSZeZ1e3+3sSWvNs/IFk6ZjdbEu/Z/ZnzIgZCxxgce41K4jOfshIBjiU7re59hMaswL4X1yPe6/QhwOMvfv59KMd/jdVsOgpAAGhNdjtnR9fcnco9agN/n6dZmLpTEklA/f+YbI3Ewaw8LdGuO+svU02KoJNIUzNMKJDKitz18Pk+bA+hUw38mt9hLICyF6Wq9+zhiNRiZOnNgmeV1zMrvp06d32u7f//43Dz74IEuXLmWSzBIfHs3paCWY79M2N69gKdhMnH88BRmRXHXaRF58tOskRbXVlRTmZAJqgiKjC/veW5bYLzjJpbHWmMt5a/M/+Oev8ymu83yh+8TZ8OE6eOoD545v3isf4vGZhRCi/9MCyTYblemfA5AUkIzN1vWqr7LiQipK1epFA4aMQKvt+ra0LiqGzBPd34WeW52GBi1T4hei03azZOAQfgGw5EH4ca9zyVNXA38AJW6NVAghnNPrDw1vueUWXn31Vd5++23S0tK49tprqaur4/LLLwfg0ksv5Y477mg5/rHHHuOf//wnb7zxBikpKRQWFlJYWEhtraSp6lGPPAJRUfDUU709EuGB+fX1LNz9M2x/n5TggaTvCCDngB+5B7rZL9+UxR5crC/vcFAwdiKViSlkH3O8S2PdXPAjDsXOgJAxxASkuNS2M0HBENN10v4WzTPzTkziCyGEAByKg31VGbDpcvb+eDxF+V2vwti3c0vL60Ejx3Z/Ar0etO4lvgNYkHoF/z15K4vHPehWex8f8HVy19fjwOXAWrfOJIQQzunVZfYA5513HiUlJdxzzz0UFhYybtw4li5d2pIULzs7u82T2hdffBGLxcLZZ5/dpp97772X++6773AO/eiSng4lJaAovT0S4YFxZjPRG16DjC9IHnoJs44rIyJqB1U1hi7buZ38Tqtlw19uYMMtd6t3QS7YmP8dAHNSznWpXUca68HHD1ypiidlhYQQwjUOjZblZ63krLeS+fDrMKLu30tETOcr+vbs2NLyevCo8Z0eF7p/L5PeeoHsY44j/cLLPRpjZEA8IT6ufbLn7geTDwwb7XwbuYYIIQ6HXg/mAZYsWcKSJUs6fG/FihVtfp2ZmdnzAxLtNZelS0np1WEIz+2oUhMIJQcNJDDIxvgZlRQWdR1o72sVzA9yMZM9GtQ6Pi6otVSSVrIK8DyYVxT42+kQEARPvAepTm73b06AJzdiQgjRvWMTEgi327mxooLjjm8kLaGM2KSus43u3bEZAK1WR+rwziPlxA1/krRuJRgMbgfzdocNnVaPr971hKpvPwV/fA93Pg2Lb3SujVxDhBCHwxERzIsjnKJIjfl+wu6ws7NyDwApQerfpaWb5EQ2m43MPTsBiIiOIyQ80qlzGWuqiUrbTv60WThcrAe8s2gFDsVOYvBw4oMGu9T2UAXZkJMBBiNExzvfThLgCSGEc8q1Wpb7qRvJ7ygr46LrMqmo0nS56qu2por8rP0AJKUOwaeLjejxm5pK0s06xu0xPrHqPDRouXHaS6SGj3O6naJAfa1a1n6ik0n0HcjMvBDi8JBgXnSvuBiqqtQrWXJyb49GuOknPz++U2qoixyGb8kuDNVD+OaHSBIH1xERa+20XU5GOhazGYDUEc6vMUxa8ztzn7yfotET+PbdL10a67aiXwGYmnCKS+06EpcM762Gsjx1dt5ZzVk4ZM+8EEJ0rbm+vH9dKf9d9yDzko7HZO/6fqF1udNBo8Z1epy+sYHopmPzps9xa3y1lgr2lW1AQSHIJ8KlthoNPPQWOCwwcIhzbepQA3qQYF4I0bMkmBfda56VT0hwed+zOHJ8EhjIa8EJMPwMhts1bFsbwfMPD2LUxCpuemhvp+0y0lrtl3ch+V1KUxb7vBlzXRqn3WFjR5HadlrCqS617Ux0HExyrQqRzMwLIYSTdjZtpWoo2MTbWz9gWvQ89ErXK7L2tt4vP3Jcp8fFbt2AzmqlNjqWquSuK690JsAYyqPHr6KgZjeR/k5mQT1Ecqoa2Dujqum7CZC7JiFET5JgXnSvOZgf6N5FVBwZWmrMF2xmWNhIQqwWJs0sJ2VoXZft9u1stV/emWzDqDMp8RvVZZGZ8090aZz7KzZRZ63E3xjC8MjOS1S6wpXEd83uACqBGV4ZgRBC9F/NM/OzDGGU7nqfG/59GiedW8hpl+Z32qZ1JvvBXczMJ635HYDsOQucj6Y7EO6XwOioKS61sdvUZfb+AWoifWfJw2AhxOHS66XpRB8QHg7z58O4cb09EuEmK7C96WaLgk0MDxvJ9Hnl3PfcLk48t6jTdg6Hg93bNgDg6+dPfEqqU+dL2LAavcVMdVwiFYOHuTTWbYXqEvsJscej03r2vPGd/8AT/4Ccfa63HQ2cBMR5NAIhhOj/djZdX070SybeNgebTYuPn73T4y3mRjL3pgEQHZ9EUEhYxwc6HCSt+QOA7HkneDRGo86I1sXa8ht+h/OnwBuPuXau5pn5ENeaCSGEy2RmXnTvzDPh9NNhnxsRkTgi7DIasWi10FgJlQcYFjYS6D75XU7GHmqrKgEYNm4yOp1zHxnJq5YDkHXsiS7PpDTvl5+euMildoey2+GHD6GiBM6+zL0+5GmnEEJ0r3mZ/SCrlQkPHeCC6wxU1Rg7PX7/7p3YbTag65J0pppqKgYMQuuwU+DqXqkmmZXb+Hb3M8xIPJ1Fw69zqe2G36C2Sr2euEKS3wkhDhcJ5oVzLJ3XiRVHvs1NuQ40hVtIDhqISQnCZgWrretAe2dTBmGAEROcu5HSmRtJWqvOpGQuOMmlcZbV55FXvRsNWibFubY8/1AaDdz1HGxYDjOPd68PCeaFEKJr5VothU1r0Ctz/8TPFE5ohAaHtvNPUGeX2JuDQ1j68HNoA/1wGF0rcdpse+GvbCn8GV9DgMvB/DX3wLGLXKsvDxLMCyEOH7lXFV2z26GmRoL5Pq55v/wlIWP418x/88s30Zw5YzqvP9l1qcFdm9a2vB45YZpT54rdthFjfR01MXEUj5ng0jibZ+WHREwhyCfcpbaH0mph1GS46xkwdj5B1KFa4AHgMUDxaBRCCNG/Ne+XpzKLq384hxpLNU2T7p1yNvkdAFotDv9At8e3o/g3AKbEu/ZwGUCngxkLYOBQ19qdDqwCXnL5jEII4RqZmRdd27cPhg2D1FT47juPks+I3rOpKZgfYbYS4RvF/nR/LGYdBmPnoaq5sYG9TbMnkbHxRMU5lwE4d/JMPnvpQ/xtFjWidkFq6ASOT72K4ZGTXWrXGV9f1wN5gArgfcAPeNIrIxFCiP6peYk9JbsILz+e95+YzLBxNQybUNPh8Xa7jX1NVVKCwyKIjI3v8DhjTTU6i4WGhES3x1ZvqeJAxRYAJsa5t+fez8/1NgYgAnAvb74QQjhPgnnRteZM9r6+Esj3UQ5gS9My+0FmtXr6dXdkcOoF+VTVGDptl75tU8uexhFOzso3qxw6nMpQ1xcYJoWMZEjERCL8Il1u29qbj4PRBH+5xb32zbegUmNeCCG6NspsZlrGStakf0lQ7jl8+3kcxUVlnQbzufv3YW6oB9Ql9ppO7i0GL/uOaS89xa6zLmL1Px9xa2xpJatwKHbig4YQFZDkdLuqcnj4Bpg8F66/272HwiDLX4UQPU8+Z0TXmoP5AV0vxxZHrgyDgVqtFo2tkS/XqjdEWi1ExloIi7R22m5X6/3y450s56M0zfSb3K+sa9J5VpW3shQ+fx3efRryM93ro3m/Y5BHIxFCiP5vZmMjUcvvg42vMHpiNWdeksuEmZWdHr935+aW10O6SH7XXJKueoBzVVQ6srNpif3EWNcSp3z9NmxdDcu/Vh8Mu8O1vPlCCOEemZkXXWsO5pOTe3ccwm11Wi2ppfvJqNzLvvK0lp9brV2vtGjeL6/Rahk+zrll78fdews2X1823nwn1U6WsWu2Ie87fA2BzE72LIt9YAjc+jikbYCJs9zro7bpe4hHIxFCiP5PURTWlqnL5ufO8GHQ8VmUlHUeAbfeLz9o5NgOjzHWVBOzTQ36s+cucHtcO4vVZKyTXNwvf+ENEBQC8xa6Vl++2YNABvAwcIzrzYUQwmkSzIuuycx8nzfObGZ1VTmflu+natA5rFkRxtb1wQwfX8PAEXUdtikvKSI/+wAAA4eOxC+g++RDfqXFJK5fhUZRWH/b/S6NUVEUPtnxEGUNuYT4fMPUhFNcat+aTg8LzoDLbnB/Z0jzzHyI26MQQoijQ259IUWNJeg0OlKDB2Np6HzRp6IoLblYfP38SUgZ1OFxCRv+ROuwUzFgMDWJKW6Nq6h2P2UNuei1RsZEz3Wprd4A13mwvH5b01d1dwcKIYSHZJm96JoE8/1CmE8YsxKPZXzURFYvD+eLdxPYtr7zHeG7Nh/MYu/sfvmBv/2MRlEoHDuRWieT5TWz2BsZHjWLKP8UxsYc61LbjgQGepbiQYJ5IYTo3n6DgceMZogaTYJlPqW5oZgtnd9aFuRkUl1RDkDqyLFodR0vRk9uWmKfdcxxbo+tOYv9iMiZ+Bj8nWqze4u6Wyw42P1AHqQ0nRDi8JGZedG5igooKVFfp6T06lCEZ8waDWa7GYAZx5ZhMDoYPr7zOYNdG1uVpJvoXH351OVLAchYeKbL4zPpfbls/L+J8I3AR+/rcntQqyg+dhPMPgnOv8qtLlo0p22SGzEhhOjc+4GBPD/geND/C8dffbnyoUksujiPRRcXdHj81rV/tLweMa7jXCxaq5WE9X8CkD3Ptb3ure0sVh8ITI4/0anj07fCLWfD6KnwzjK3TwtAVdN3uYYIIXqaBPOic1YrLFkCaWng79xTbXFkydPr+bA+i9K9XzMgchzJwQOZOrec0VOqKK/oeNrB4XC0zMz7+vkzYOjIbs8TnJNJxL7dOHR6Dhy30K2xatBg0ruf/G7tMvj9O9i8Es5a7J1ZFclmL4QQHVOA94Oa0oSmfUag7kaMJjtJg+o7bbN19e8tr8dOn9PhMTHbN2Gsr6M+LIKSUePcGpvVbia9dDUAE50M5vMzwWCC+GTwce+ZMqD+ucjqLiHE4SLBvOhcVBQ8+yxkZYHZ3NujEW54JTiYBwbOA0c+p237nGvH3gSA2dz5MsjsjHRqq9V5hWHjJqPTdf8xMXDFjwDkTpuNOTTMpTFa7WbyqnczJGJypyWKnBERA5fdCkNGgn+A290ABxPgyayKEEJ0bJPJRLrRCNYGSPuCmx5YQJBiprKy4yepNZUVZOzeDkBs0gCi4zquH188Ygwr/u8BjIpDLb3ihn3l67HYGwjxiWZAyGin2sw7DSbNhgTnK9h1qB6wN72Wa4gQoqdJMC+65nBIIN9H2YE3mmdN9nzDsLCRbFgVQtLABuxdBM3NWewBRkxwYom9opC6XA3mMxae4fI4M8o38sSq80kMGs6rp+9yuX2zIWNgxARI7Pj+0CXBQBIQ63lXQgjRL7XMyqd/jb+ikBCYRFWVBr1B6fD4betXoTgcAIydOrvTfm0+vmQcfypEhLs9th1F6n75CbHHufSQOHWY5wsRm2flDYCfZ10JIUS3JJgXHbNaYc0aGDGit0ci3PSjvz+5BgPUl8HuLxk89z3+9o/h1Nfquef5nSSlNnTYrnUwP9KJ5Hcau520U85m0IofyXYjWdGukpUApIaNc7ntoQwGj7sA4HbgHiDFO90JIUS/Ygc+DGyqcrL9fYaFjUCr0XaZ/G5bq/3yY6d1vMS+ha/7W64AFg5ZwpDwKQwKd25Wvpk3riHN++VDAA/ysAohhFMkm73o2KZNMGcOjBqlpnYVfc6rwU07vre9Q5QxBGNDIgOH1BEabiFhQMeBfE1lBXu2q7V9I2PjiXIiK72i17PzzAv56v1vsfm5PqWxq6kO8MT4E1xu28xqgb07wNzxb8stHedYFkIIsdzPjwK9Hj9rI6Mq8il781XuumYk+3d3fA2wWszs2KDuYQ8IDiF12KgOj5v60pOM+fhtfBo633fvDD9jMNOTTmdoxGSnjn/1YbhhEfzyhUenBWS/vBDi8JKZedGxP5qeoI8Z41mNL9ErCnU6vmleK7jpNabHzSIq1sITb20jJ9cHjbbjv9MNf/yCw6Hu9ps4a77zJzQaweD6x0mtpZKsym0AjI9d4HL7ZnkH1BuxwGBYX+Gdf7LypFMIITr2ftOs/GkNFm6e9y6zbx1CZqOO0xbnd3h8+raNmBvVp61jJs/ssCSdT2U5I77+BK3DTtYpZ9AYEenRGH30JqePzdipPhC2eGFXoZSlE0IcThLMi46tVJc+M358745DuOWtoCDsGg363HXYSnYxbahaq81m13QayAOsaSovBzB1XvcZgFOXfY9GUThw6lktCX9csbtkFQoKCUHDiPCLd6MHVXUlhIRDXLJ3AnkLEOh5N0II0e80aDR8FqBmGV1YV4fZ0cCTb29l8/oQYhIbO2yzdU33S+wHrvgJrcNOyfBRVA0c7Pb4ftz7Cg22GhYN/StJIcOdanP9g1CcA9OOdfu0LSKBUwHXFvgLIYR7JJgX7TkcB4P5CRN6dyzCZQrwWtMSe9vGFwkyBjPYfzw2q4bGLvYzlhTmkbFLnSWPT0klsZubKY3dzqS3XySguBAlNMSt+vK7StQbvAkezMoDjJkKH66HyAiPugHUP7+xgBHIBKI971IIIfqNb/39qdHpiDTXM7i6mBoaGTTcTkiUlUZz+xl3RVFa6svrDQZGTuw4F8ugZd8DsO+Usz0a34rMdympy2Jy/AKng/nEgTBiLER44RoytulrgOddCSFEt2QlqWgvPR3KysDXVxLg9UErfH3JMBoxWBtg58dMj53Jdx8mcf4xU/ns7c5nv9c2ZaQH52blE9avIqC4kMbgEDIXnOzWWNOK1YdGnuyXb83TknQAdYADaASCPO9OCCH6lTFmMzeWl1K98mFmfjSJfZX7UBQwWzrONJKzfw/lJUUADBs7CR/f9jneg3MyidybhkOrY/9Ji9wem0NxcPLg65mRdBajorpJsncIvZent+QGWwhxOMhnjWiveVZ+3Dh1L7ToU5pn5Q07PwVrPdNiZ7FjYzC1NQb0nWTqVRSFta2X2B/TfXA9/LvPANiz6BzsJtczD5fUZVFSn41Oo2d09FyX2x9Kr/fOEvuapu9GwLN8ykII0f8MtVq5KmsrCds/ItAYyOqPZ7HmtzCslo4/gLeu+b3ldWdL7Jtn5XOnz6ExzP3pca1Gy+yU8/nHzHfwNzr3ODYnQ018dyDd7dN2SJKoCiEOB1lmL9prTn4n++X7pDNra0lXGtm47hl89b5MiJ7MlGd3snVDCL5BHe9sz8nYQ0H2AQAGjxpPeHTXFdYDCvNIaMpMvPucS9waZ3MW+6ERU/EzeLZD/YFrIDgM7nwKojwsDt+cvCgIKSskhBAdiQhK4fvTfuL33VlcdcdAtDqFZz/b3GGN+S2t98tPndW+M4eDQb/+AMC+RWd5ZXwmnfPJ79avgFceguPPgmc/9fzc+wArEIVktBdC9DyZmRft3XorPPooLPBsH7PoHWfV1jL7l/uhYCOTo6dh0pnQ6SBlSB2BwbYO26xZ/kPL62lOLLEf9v0XaBSFvCkzqUlKcWucLfvl4453q32zxnr48yf44UMwOn//1qnmmflgz7sSQoh+Q2n1VaPVYnXY8Pfx4aSzCxg2phqTj6Ndm8qyErL2pgGQlDqUsMiYdscY6+soGjGW+rAIsue6fz1wKA6W73+H4rr9aDTO396GRsDY6TB2qtunbuPfwOnA597pTgghuiQz86K9sWMhORmKi3t7JMINduCbnJ8AmB53cBbE3EFiIgCH3c66FerxOp2OibO7TuertVgY8uPXAKSdv9itMToUO2klfwIwIe44t/poptHCbU9DbQWEhHnUFXAwmA/xvCshhOg3fvLz497wcK4qzWeK2YzZYSUswsrf/rmPgkIfHEr7tUyrfz34oHjstNkd9msJCGTF7f9CExyE4uP+5qa86nTe33Y3Jp0fn55fgUHn3DbBeafBcWdBYqLbp25D6swLIQ4nCeZFxxoaensEwkUO1KU25RoN/571JN8e+JZxoTP5x+VjGD2pktkLSzEY2y+B3LNjM5VlJQCMmjSDgKCQLs9jqq2mLHUooTkHyJ7j3uqNrMod1Fur8DMEMTR8sofh1gsAAQAASURBVFt9tIzHB+YtgmgvpZ2XGzEhhGjvidBQ1vr6YrPk8bePTuKi4Zdx1uDzaWjUdRjIO+x2VnyjrlvXaDRMm99FolSDAcXX16PxpZWsAmBk1CynA/lm3kx+J3XmhRCHkwTzoq0PPwSLBYYNg5CQ3h6NcJIdmJiUxOyGBi6rrmZU+Ggi/eP44pMgtm8MpjDPxLzTSzpsu+bXVonvju1+iX1DWAQ/PvocPloNipt3QI22WpKCRxEfNAid1jsfQ966GZOZeSGEaGuLycQv/v7oFIX6VY9Sb6unZMc4igNMaDt4SAywdd1KyooLAPVBcXRc+6nvQb98R1nqUCrGT/J4jLtL1OS9410odaooauJUCeaFEH2VBPOirUcfha1b4Zln4MTuAztxZPg8IICtPj5kGQz8paoKh+Kgwd7IvJMbsdk0NJp1HWZ6Nzc2snHlMgBMvn6MnepkKR8/PxoD3K8DNzxyJvcdu5QoP8+n0/duB50eYqJRU9B7qPlGTPbMCyGE6qlQNTSdX13GTwd+AJuBX5+/lK8qjdz25G4Gjahr1+bXrz5qeX3sonPave9TUcbM/z6C3mLmi4+WUj7U/VK4NoeV9LK1gGtbt/IOwE1nwdAx8L/fuz/eGVVN3yWYF0IcDpIATxxUVQXbtqmvJ07s3bEIpynAY2HqZvHTy/J4cOXfWZq9FEVRMJoU5pxUwtRjyztsu+K7T2moqwVg4sx5mLrYr6hrbGTiWy/gU1UB/v4ej9ukM6HXef488eV/wXULYdlXHncFHJyZlxsxIYSAXL2eDwLViiMDd30DwCDDLAYMaiAk3MqAoe0D+fzsA6RtWQ9AVFwiIydOb3fMqC8+QG8xUzxqHOVDhns0xgMVWzDb6gg0hTMgdIzT7fKzoLYKqis8On2LRsDS9FquIUKIw0Fm5sVBv/6qrjkbMAAiI3t7NMJJv/r6stHHB1+HA2Xd83yR8RkZVfv595xnUBSoq+24uLy5sYGln7wLqPsZTzi76xJzw7/9hHEfvkny2j/4/PNlbo+3zlKJXmsk2OSduW//IAgKheTBXumOE4EkQGo5CCEE/DckBJtGw/T6epav/zcAc0cO5ZwztnMgww9dB7lVl3/zScvreaeejVbbdu7IWFvD8G/V/fRbr1xCh0vHXJDWtMR+bPQ8tC5ksh83A174DoI8q47aonlWXgt4qUshhOiSzMyLg559Vv0uJen6lEebZuXPranh4qSTOHvQuYyuvI3/u2I0a34Pw+bo+CZpxbefUlOpzthPmrOA+JTUTs9hqK9jzCfvALB98V89uvH6JeMN/vbdaD7b9bjbfbR2/6uwdC+M8tJikrHAxcBM73QnhBB9VrVWy8vB6oPXiQdWkV6xGz+9HyemnEqjWYfBt/1++Ya6Wv785TsAjCYfZh53artjhn/7Kcb6OioGDHY7kWprzcnvXK2OYjTBwOEw0Usf+K23aXn2eEIIIZwjwbxQbd4My5erWWAuuqi3RyOctLFVUqJLq6tJCkzmlom3s/Ob49m2PoQ1K8I7bHforPypF17Z5XlGfPURvlWVVCUms++Uszwac37NHuyKlWj/JI/6aU2v93hip42Oi/gJIcTR5dXgYKp1OoZYLKz+/W4AZumvx6QEUVfX8Sfln798h7mhHoDp80/GL6DtHLWusZGRX3wANM3Kaz27FW201bG/fBMA42Lnu9xep/N4CC2kGooQ4nCTYF6onnxS/b5wIcTG9u5YhFOqtVouiYkBYFFtLQk2GzaHnRpbHbc+uIdTzs9n/ulFHbZd/s2n1FSpmwQnzzmOuOSBnZ7HWFvD6M/eA2DzNbe4ncG+2TWTX+SpE9cxK/lsj/ppzdDxTgK3yQejEOJol6nXc3/Tyq9jcreysXgdOoxs/M99XDh/Kuk72i8kdzgc/Pr1xy2/7ijx3dAfv8K3qoLquAT2n9B+1t5Ve0rXYldsRPmnEBfY+Qqzjnz5Fvz2DdRWd3uoUySTvRDicJN7VgEOh1qOTqOBxYt7ezTCCQ7g4pgY0kwmYm024tY8z02/3cCW0q0oikJkjIVzrsolLNLarq25sYGln6pL5jUaDadceEWX55r05vOYamuoSBnE/hMXeTx2jUZDYvAwAk2e3+58/Q784wL45n2Pu2rxP+AdoNh7XQohRJ/ToNWSbLMxqaGB9BV3ATDbf3HLnvTYpIZ2bXZuXE1RXjYAQ8dMJD5lULtj6sIjaQwMZvviazx+OAwH98uPjz3WpXZ2G7z6MPxrifeC+cnAl8CL3ulOCCG6JQnwhLq+7OOPYcMGCArq7dEIJ7weHMw3AQGYHA4ez8/hxk1PUNZYxiC/SSwcPh+zWYvV2vGzul+/+YTaqkqg+1n5uE1rGf7dZwCsvuMBlI4yHbnBR2/ySj97tsP2tXDsQq90B8BzQBlwGhDlvW6FEKJPGW6x8GtODkvrs7k052c0aLh4xjHELljP1s3BGA6pL2+1mPnwpadafn3sonM77Ddr1rEUTZ2JpWllmad2NQXzE+NcK6fb2AALzoSyIoiK88pQCACGAyne6U4IIbolwbxQWa0SyPchi6uq2GgyMchqZfeOtylrLCNKP5Avbv8HGZOqOesvuR1m32msr+PHTw/ulT/loq73yheNGMuuU8/BHhhEwdRZHo/76dWLMWp9uHbKUyQGD/O4v7OvgkmzYYZrEzKdUpA9j0IIAWADqnU6Ptv6HABzEuaREJhIbZ2OqDhLu+O/+d/rLbPyA4eNYvz0uW0PUBR1BaDRSGNMtFfGWNVYTF71bjRoGBszz6W2/oFw86Nq8R5v7ZlvJnlXhBCHiwTzR7sVKyA52St1w8XhowduLy+n1mFhwc6XAZhUew/fH/CnrkbPcWcXERhsa9NGURTeeebhg7Pyc48nLmlAl+ex+/iw+vYHwM/P4zE3WGvYVfw7DsWOj/5lj/sDSBkCI8ZBtHfuCzEDzRsTQrzTpRBC9BmNGg17DAbGWCwU6vXk1Obx7YGvIX88CeZ/Yp2goara2K5dzv49/NhU8USn17P4prvRtlrJ5VNZwUm3X8emS68mq4N99O6yK3bmD7ycBlsVwT4RbvXh7ZwrIHtYhRCHj3zeHM1sNrjsMhg0CL7/vrdHI7qRZjTSvKixQK/HotHw3u53KaovJNI3kmvOS+D+53Zw1W0H2gXyoNb9XffbTwD4+vlzxuJrOj1XaOY+NHY7mIzqgx4vpIrfW7YOh2InJiCVSP9Ej/tr5oUtly2aZ+W1qMslhRDiaGEFlkRFMSk5mSdDQqjXaIjxj+WpGS8S/MOXvP/IMbz3UhLKIdXo7HYbb/3nX9jtdgBOPu/ydqVOp7/4OGGZ+5jw3qtoaF/Ozl1hvrFcMOZ+7p7zcfcHH8LatLjAm8H8W8A/gGXe61IIIbokwfzR7L33ICsLwsJgwoTeHo3owltBQYxJTubR0FAKdDrqNBrWF63jyU3/BuDCYZeh1xpJHtrAkNG17drvT9/JR6/8p+XXl91yD5GxCR2eK6Awj1NuuZKT7rgO46F3bR5IK/kTgLExc7s50jllxbDqR8jL9Ep3ANQ0fQ9CagQLIY4euw0GZiQl8XpwMFaNhkCHAwCtRsucxLmcdZad8Cgz044tb9f2ly8+IGtvGgBxSQM4+bzL2ryfsvJXBv72Mw6tjv9n777D26rOB45/79WWbHnvOHsTEjJI2HuPMn5tKbSsQksLtAW6oGWU0rJaRlugUGZbym7ZAcqmEMgEQsjeTrynbG3p3t8fR7LseMRO5NjB7+d5/FiWzj33XFm65773rP/ddGdaJr3ryKbb0fX+d2z/3aVw1hx48/n0lWUh8BKwMX1ZCiFErySYH66WL4fLL1ePzz8fnM7BLY/olglcl5fHhcXFxDSNhS4XPl2nyl/Jj9+/jFgMRi9+goNzT6ep2UYs3jUEbfM1c//vryYeU631x555DrMP6X6QuaeumhN+9SPsAT8aEM3KStuxrK5XwfzMkmPTkt/yT+CmH8LNP05LdkAqmE/fUQshxNBlAH/KzmbmqFEscTrJjsf5U20tJZWfssm3EcM0aIjVc+b527n5kRVkZnfu9VVTWcGL/1TDpjRN4/wrrsVmT3XDz1u/hkPu/j0Ay8+/hPp9ZqSt7M2hGlbXLcCyi3deK7dASyNkpvGEL0vTCSH2NBkzPxzV18Npp4HfD4ceCt/97mCXSHSjQde5pKiIf2eqtXwvbWriR83NROJhfvTepTSGGsj+4BE2v382v1zXxjV3r+4yiY9hGDz8h9/QWFsNwLip0/m/7/6o2/1lVG/npF9eSmZNJb6SEbx3271pm72+LdJERcuXAP2epKgndgdMnA77zE5LdoBMfieEGD7W2mz8oKiIdxNzohweCHBTfT3OQCP/9+4PqN9cyo0n/JDpI8fQ3GzHYu3cU6uhpoo/XfsTIuEwoGavHzd1evvreetWceI1l+No81G7zww+/eGVaS3/ssrXeGL59cwqOZabj/1vv7f/8wvQVAvT909fmSSYF0LsaRLMDzfRKHzzm7B5M4weDX/8Y3oHHYu0mO/xcFFREdVWK1bT5Kb6es5sa8M0TX7zyXV80bCcLHsWV19WyG0rInzt3KougXwo4OfRO3/LF4s/AiAzK4cf/OoWrN38vzMrKzjplz8ko66GlvJRvPbg0/iL07RWD7Cm/hMARngnk+NKz2x1Bx8Ph5ygPsbpkmyZz05flkIIMaQENY2bc3O5PSeHiK7jNgx+2djIWa2taEC9EcG55RRCf7udRxeE+NUf1hOOdr6xW1WxmTuvuYym+loACkpGcMYFl7a/nlFTxYnXXIajrZXaafvx+l8fx7CnZ0nSpLgRw+soYPou3iB2eaBkJmRkpq9MLYnfEswLIfYUieKGm6eegnffhYwMuOceyM4e7BKJDlo1jasKC3ko0b19QiTCzXV1TI9EMEyD+5bfw39WvInu1vnl3BsY587hdw+vwOE0OuVTs30r9974Myq3bgJA03Uu/uVN5OR3XTk9s7KCk3/2fTyN9TSPGsv8h54mWJCm6eETPq96E4D9StK0hlxCuu9DJVtVpJu9EOKr6qySEl7OUFN8HhEI8OuGBkbGUt3n810F3HjsT7joERsWLUZzsw2XJ1XHbF2/hrt+/SNaW5oAKCobyU9vvRenK7XqSVthMeuOOZn8jWv5733/JJrOiDnh2PEXc/LES8l2Zfd7W78PPN70z2QvLfNCiD1Ngvnh5jvfge3bISsLJkwY7NKIDhY6nZxcVkaDxYJmmny3pYUfNzfjTExC99bWN/nLXTmwaBNn/P4+RtsOpMVn7RLIL1/4IQ/efh1Bv5oIz+XJ4Hu/uIl9Zs3rdr8xpwtbKEjj2Am89uBThPIK0npcq+sWsKDiOQAOH33WbucXDsG//gRn/RDGpvkjHAdcSMu8EOKr6+eNjSxzOLi6sZFjAwE0oCZQw+PLn+OqeZcSM+Pkjqrn13eHyS+OYLWpOsg0Tb5YvIAHb/01wYAfgPJxE7ny93/Bm52LFovhamogUFAEusbCX96IRdOID+CcPE6rE7ulfy3+1RXwkzPhzO/ClTelrywRIJh4nJ2+bIUQolcSzO8mw4CtW6G1FTIzYeRIunR3HvT9L1gAXi9MmwbxOJx1lupu30N+lZVqOL3HA6WlKr9IBN5+G6qqoaQYjj5atYrumBb69tzuvEc7lrG4GKqrobUN/G3gyYDMDCgsVPP8NTSoCfvz86GiAkxTLZuekanSFRdDVRVs3Ai1teDzqfkAJ06EmTNVWbdvh02b1L79fvVcQQHst58q06efwtq1EArB2LFqtb+ysu6PM2bAey12NmLjJL+/vfyWcATfCJ0CX5Rjn6snf1OIT6fAyFFqu6ya48hq2k5LKIdNL13IMmsldhtEEw0q9VUrWfz246xY/BbJtYOKysZw9uV/xJMzktVrIOBX78/U1jXUjZ1EOAxOdyHv/vYu6mbPJZyTu+v/mG4Eo608uuxnAJww/mL2LTqs0/+xthaCQXC51P+rL5+LB2+GVx6HVZ/Cs5+ktbh8J/EzNr3ZDpjBPv8IMdQkvxOhNZDh2Hl901Od11s6ux1WroSaGvV4+nRVR3oyIMOj0gcCO6/vknm2tkFbq9oGVP0TCqnTuN8PTU3qHFlaqv5evlylmzQJjjpK/b10qXpuv/3USqIbN0K1zcKGozKxlFj4U7gBTYdmdKzbYvx1wza8DqgG/rvlDf7wUAPRj65lyXce59hpswjFbbS1hVm7WZWnbvsKFv73Xio3Lmkv/8jx0/nmpXfTFsjE/vYiznj+j0QdTv72679jL87FabGTmzcwMy23RZrw2LKxW5xUV/evHnnvZWhpgIVvg5bGYL61w+O9uXeX1CtC7F2GRDB/77338oc//IHq6mpmzJjBX/7yF+bOndtj+meffZbrrruOzZs3M2HCBG677TZOOumkPVhiZdUqeP55WL1aVbxOJ0yeDGecAVOmDIH919bCtdfCgw/CAQfAq69CY6M6U3djwwZ48011ERAOg8OhAtNwGF5+Wc2bF4+DxaIa9qdOVSf6ZNrkxOctLb0/N3YsHHssjBvXbTF6tWMZIxF17PG4OrRkhe50QnOzej0WS10YWSzqt66rEQYlJSqf+nr1Ew6nXne5oLxcXUBVVqoLt7Y29brNpo49J1etVVtT03kfRUXqIuub3wLrJCvLHQ6+cDj4MObgowwXbZOtOFtiLD1zIwFDw5Kjs71Vo/SRSvgywkcxaHGvxP+fGCP0sbhsbkKWFuxkkjV2Pdtam3n8cYAY0ZaPaa16nEjrsk7vlbfoKHKmXM/8Nz0EgmCPhDiu+QNOaHiVo5oXcMnsP7F00rHYczJYUHoCs0JQ0v9/Sa+eXfE7GoLbKPSM4vv739n+/Nat6h5TRYX6H9nt6r0+6CB14dCbo06HpR/AFTepi9Z00xgiJ8adGOzzjxBDTcfvhLce3Pbe65ue6rwd03dMt3atWtE1WVckz/kZGeqeudWqzmf5+ZCX1/P+k3l+/rl63NSk6irDUPWZrqf+BnWuMww6rdCua6k6zTDAMCE8xU7gNA9tp2UQOsClto2Y6Nf7mDsd1m9R593GJpMtsaVsyX+chuKXoO5xCGez8rXj2PaZ6ixumjGi/hUEa/5FuPm9TuV3ZB2AJf9mqh5ZyRHb/8PJTe8AUGfN5fn7/VQXFTNypDr+WbNUXZtO9y38PttbNnCQ+QRG5bH9qke+dSmUlsNxZ6iJVNMlOV7eC6Rn6tg9T+oVIfY+g37N+vTTT3PVVVdx//33M2/ePO6++26OP/541qxZQ2Fh1/G9CxYs4Oyzz+aWW27hlFNO4YknnuD0009n2bJlTJs2bY+Ve9Uq+POfVQBYXq7uwPv9qoW2ogJ+/OOBPfH1tP+aD9aw6uWXGBV9GfenH6WuBMrLVQTldneb34YN8I9/qAuKkhIVyAaD8Npr6jVQFyt2u2o9qK1V+549W1XUlVXwjqrLmT0Hxozp/rlgULVoVFXBeef1L6DfsYyhECxbpsoRi6kLqcxM1RK/ebPaxulUFzrhsLpA0jR1wQapAD4aVa8lL8xAvW3BIKxZA+vWqbctFFLP6zpEgUaLznbDghY0sAfjWCzqNd8hLjZdm8fHpRZuHGEj6u56S9sWNijcHmFlloNApUGkxUp9cxy7LYhmqssAX0MBxra5VMx4inzGEzdMTL0RzboQf/VnRFo/Jeb/AtMIdMpbt+aQOeJCMgrPIqO+jqmtSzil+R1ObHqPjETaODoFtdvZVpLB2DzYugUaGuHYY9J30bWq7iM+2PIkAD89+DHcNjVmcutWeOEF1QOioCDVCrV+vfpcnX567xdi0+bAq1+qVrCBsDc0QAz2+UeIoWbH78QIL4T9Pdc3PdV5O6bvmK65WZ2nYrFUXQGqd1RLi6obbTZVF+k65OV3v/9knhUVqtdXY6Oqg8LhVJVtdJ44vnMUnxBzaLQd4CR0gJPwAS6CBziJF3W+rHN8GsL7fBtvf6Cx6OM4nlEbWb7SSv368Zjn/hry14Gp4RrzGZbW6VidXxCs+4KI7xMivsWYhr9TfhbHCGbmn8mPQls4ecmZ5MWaAVWn/LXgXK4t+xkt1iz0FqjYpurXdNYtreEGXlp9F+saFmFi0lg5hpE5/atHnE4470fpvxm8t6+GIvWKEHsnzTTNbqqIPWfevHnsv//+3HPPPYBaSqu8vJwf/ehHXH311V3Sn3XWWfj9fl555ZX25w444AD2228/7r///j7t0+fzkZWVRUtLC16vt99lNgy49VZ1gps6FSoqPiQejwCqgt+yRQ1H/9a3dr9rkhaPo4dC6NEoejSK1e9H97WxYH4brVtb2TbjAIJOFSSduvxffP2zRzof67hxrPvmN2mZNKnn4zHhlVdUucvKUhWcEYc331IXOE5n6j5AMACRqHofXC7V5X79enWhA6rFe8IEFQR3fG7iRJW3aaoLmNGj4eSTVesCqGuV5Iex49tmAiHdwvzXNbZWQEmZhqnD+o0aza0akZhGIATuTJ08S4TqNTFCiVaWSJaDSJELza5jWnXiVh3NbcGVrRMwLMQcVnBbMKw6mX9dg0UHEi0gDX87kPioDEyPFTPDiumxYWRaMTNtmK7UBVPG71aQed1KnI4YFi1C24kjqP7PMe2v69E4pS0N6GvqCC4LY35sJadxMdGsd2gzW4g4AvgefwcwyJxwJdZGF3HTR8BbTjw+ES3yLlrLfIxINaYRxAa4O/xkAIVAiS2faM4RvFN+BVarA0+sjTVLO8/yu9lexpO5p/N44ddZ6x6HwwHlI2D8BKiqhFGj4YQTU/+T3RGNh3hx1Z04bQ5+sP/dgHpfn3lGfV5Gjeq6zZYtMG4MfP2bqYmJVn8Gzz4AuYVw2Y3qBkDGAAXyADZgzMBlv9t2PP90vCA1TRU8zJoFv/yldI0U/be79eNg7K/jdyI7eymRSAsZrZXoZrzb+qanOg86108nnQivzlfpSkrUULNgMJVH8upJ1yFuqF49breqF+32VF1YWZnaPyT2vRna/LBtG5i6RtSiEzF14g4Lhtuq6h23FSPHjpHnwMhzoNeHcT25ERMroBPfx03titM7vxnhOPYPKrG/uRnLO1vwV47CsAfQT/4e8ZxqTFsU/vFf2HgsHP1z9Lx/oS1zw6YGCuLNuFAtywUdfkYAH1u8vFV2Gc78rzHHv4r5a9SStvWWbJ7POYF7Ci5guXsqdOgtYNFhzFg19GD0mN2rW6LxEG9vfIxX1/yFYEx1aC9su4hjMh5E2yEq37wJxo2Fb52j/jdBP9x8OWTnw5W3qrKkadXVTlYCtwPlwNPpz35ASb0ixNDT1/pxUIP5SCSC2+3mueee4/TTT29//vzzz6e5uZkXX3yxyzYjR47kqquu4oorrmh/7oYbbuCFF17g888/73Y/4XCYcGIdVFBvTnl5+S5fPGzeDNdfr7rReb1w551lBJ5fRvzIZE+Cjm+p1vk5IwLTX4ZVZ6IXLidaOwtXKETUZsPcMW2n7YF1r6A98TWV4vdBuMkGv9Q67ELrsFUqDxMNJhoU2S6gZvXj6vXaVsy8xOA+rcP+OuSBZkLDOjjrMXjnd+Bq5B9HXcj5L72UyjdZRNPsepv7lR+iLXlApb2rAt4rg5l0r+O2fgMyIHPcA7RuuDRxpRTvYcMdfPp3+PPf4LH/gWZw4IvP8vGpZ+98O9NE+02qhjIf+hjWzQN371cemmGgL20lPjcLa9HHxGoOglNPhX/+E+JZYACOetAS5Q9lQ9wBehRcjfDooeo9/m0MMBn1wnwC89REda26i5DpQdfDGPEOo/G0PPg4Ru5L07HmrlNvWcWl+P/8Z7BEwNEhbTAHTB27pQ0TB1FscOM6eDgXypbjKpqE5buZRL6eSSRkgGkBZwuaRc2pYMYcEM4EPYpubsLz8KEABB5+BqN6H5wb7Viz1c2kaNQg1GYBPUZmlrpS0jUNf6uG9W6Nq8th9D7qramaCCvPBk0HhytV3HAIzLhaMij5/I+fh99+AwpL4eUv4VfZ8NnO/6McDXQcDrkBOHcn2zQARcATQHrn3U+fHc8/O2ppUb1Tfvvb9C7bJ4aHgQ7m010fQ+fvxHPPHUz1TX8l+p19E3Vjh2FlZuIcr3W4dXzSn+GNH0NGNdVtI5hSV0dzTg4mHdJ2qt8Sv2s+Q7t/lsr2jzVweh78U0/Vp2YqbZf6+GyTrM/+QMta1WChr6/EGNeHZutgI1xwETzzPOhRnppczDmf12CNxYhEbRC1gBGEuGoj1nQbppGrCvP+t2DVM2CC9vQzmCecDNfFwZbo2WVqEMoDIFerx5p423xhB+EpYcaP+gd17uOJYiXw+GjMXIc6PldD6pgjHoi5wBoEux8+fhjevQv+vAKAo/6zhsVHHgRAKBgnGrKi2yJ4MlJTyrc2qXfM9fDxWLXPVLYLzyd8zu/gKAMcreiaFd3IJBa0gwl2d+omgXsxNB4FhePg9n+CNgJ+UgItjYn5cjzg6uFm8B3AgR3+/gvw5M7/K5QA/+7wdzlqItW9idQrQgw9fa2PB7WbfX19PfF4nKKizstgFRUVsXr16m63qa6u7jZ9dXV1j/u55ZZbuPHGG3e/wAmtrao7l8eTes50Ozrccu4uAEw+Z4OoB7BgRDPQQQXynW519hBA2j3t1yIYNnBZOjdhd7yTumMeuoW4lppR1nTYui9vp800sLkg5gQsEHORYbXuUNZk0m7KbLWlyht1gUPr8dA6sWiARtxMdAXoz/0mq02VFR1MDbvZ/fwAXWgapkWHZPq4Exo11fTdC1PXsX4eIE4WpmFXT7a2piYLACA/9bD9IsIGFIFuUe+JHoG4i1y7lS07fL6N9jb4DrxWGl2WVH42FxRaUJcQHS4jEq9HOk7HY9ogUAhhJzS5ME07kUwLZCabKnK66dHpwGjLoTVcr/70Z0JbITF3iKAtsZ3NkiimvdNEQORADMjQIMMAvQ2cdnX4JhDqmDZR3iCpWYGPPRKM22DWAVCeBX5U0L0zIVQLU5Krj9s1At10Ghgyujv/dOTxqJbF1tbuXxdiMKW7Poau3wnT6UzUI9D96OUOFVHcodLE3BQBYZcLs1OzbR/q45gLHMn6WOuyWZf62K5hmB3O6X1tJo4EUjeGDQt5sTCG1UrEaoX26j1VB6TO4xpYXO0PTVeLioBzATosGZc4YTaSqoM0fxQzkE2NVoSvMTGjrdeeqG9Atd3vyKN+3DrY6sGvGjqsrKe1Y33hBQNn5/oi0SYSjLQCifomYECGE/IA3BgkbtEkih7psLk7UYeYYcjSIDMHmq2pfAOJn+5Y6VxnxOhbneHZYbs0r3a3R0i9IsTea1Bb5isrKykrK2PBggUceGDqfugvfvEL3n//fRYuXNhlG7vdzt///nfOPjvV2nrfffdx4403UlNT0+1+Brpl/sMPb6M5x8BXWoLd1oTbUYlhQG6+RmPTPqrco6swnKAbMQr/u4lYZT45zgaO8bTw2axZxCwWFrUVEzFNRpRGcGSomrmxIUZ9sw27M8DI2Cfk1GwlGIQlC/cnVppH7EANw56oyoIetNY8LFqA4kCIceNUd7/lTdm4l2xiclkjebnqTP15ZhkVIS82exC3Z7OaTd0KwbaxxOMO8NYQMEM0rmvBuayOjFA5NrufYn+Epv3Ho2HSkpFNxKqT6QoQaHWoMeNaDKx2nM4I7rXzsfnVmb+teV+YOgZtfJi4q41YzCQecFBoKcFhjzIntwmbqaOZJmtqncRXNVBW3MaIEhcG8LmtmOWrbFgtMXLzVhCLmbQ1m4T9IwkHs4k66gk4mnG0NBHcFiG3bTxoBjnxRozcQiwWaPFkEHLZMSJBIkEX0SgYhklWkQaYZG5/BR11XyISKidUNoWI24/fnhgJZ2rkRYrQMMlsbkYPqMH3oUiAWLgFLQpNjYWYHgexEV7yc1ux2TTys+sZO1KjcpsOmgfT9BKxRNnUquGsaiTm13DWuAArtpwMNGce4CZkcxFxa8TiObS0zSV5dej0riES1DG2h1MXjJoFxrux2gxiZqz92jAetgEaWiQLJ9lEIhCvbMNhrcKMW3FHxpC/D8w7Bar922lujXHeBVHKy9VpIRDQqatWy9+VlcYYG1ffo62b7IRDGp6peZQWqBnwG1vCLFtbjdOhccj01GDFigpwt8F+pWrc6fXXg7MIfFlqsqiOX8GGBtUCcPnlqbv/k+l813EjPV+MdeQFOg6ZDAHr+7BdMZ1uvww50oIiBtLe3jK/du0DbLU10jRmFBabH09GBbE4GDFw2Mai63b0nCq21UexWiH7f+uw1JVhs7YxPdZK5f6TCDpcbDWycGXphPxBHDYHwSDU18ewe+xoWhhXy2JsK9aqY/LPIObNp+1gF3FHEE0DFw4cwSJcrjCjoq3Eoxrjx5msbc2k7u1KMkINVG5zEwiAdYoXS3EmphHGYV3ZflqPhkdiGB7C1kaC1iAEI+ibGygI56MRJasuQmzCSEw0gm4bcZuVUFTDF8gEdHQ9TlF2GNO0YK3ZhMMfw+22E6OYcG4p1c4cAngBL5h2iNsBDfxFiZv4gK0ZttapVve2RDA/MQ7529RjSyRVD8Ut6LoFU4tjtcUxGuIUazEmj3cQjcHvbykme5KKwDdX+li/vYnCXAfTxxW3/y/fWbIVwzQ5qMSP265urjc1WFjV4mLEiFJGjrCzfTvcc4+6B+JyqblyrIlKQvdDbIOak+Xmm6F0NKzt4+doFJ1ubVBF34J5G9DzQMa9g9QrQgw9e0XLfH5+PhaLpUsQXlNTQ3FxcbfbFBcX9ys9gMPhwJGc9SwNRo5Us3smxxYdcsgv21/rNLboyh7GFp3X+c/z+7zn7wM7jG0yQUvelraAmdVh/z/r29imnsZKxeNwz5uqUoxkgDsbGpzQ8qG6g5ucdO67l8LHG9UkP6apZn8/+GD4aN33qPSp/MaNgEOmp8bMr1zXv/FXncqYWD3tw7Vqn4GAmkBoRJ6atGV5NTS1qTvJ26IQrVMVvWGoyXjsdrV8TV2dmkm9bZU6Vp92BVarKmM8DsbmVO9KTUtMfJdoTKmOpmavB/V6ZqaaW8CIgrkK2myq0vvG4eo4b7899R4DfPghVPnVsnmL1idWC2xMvf/d3WbTNIhok7osSKBpYGlQZbSZ6nhNE7RYatI+ixO0EFjJQLNOQNfA6oGRDhgbgPDqMo6eBZdP7/A/yUP1GdzBtK5zU0KWg8P279qmPa3D9pmZnb87Woz2pnnThLqVcPgsOGlkzxPR7eqycU5gz02ROXB2PP/sOLZx2zb13drZqgBCDIZ018fQ+Tsxe/YlzOn4nYh1He/bqT45oPN3aEyiDj9lFvz856nz9qRJcN8Tqj7UdfAbF7afhy0WiFWAvkp1yvJ61dj5khJVF65aldj/L1T6Wz1q8tb8XFixAowtEF2v6rJWo8cFZwDVIp28AqoG+LKXN0aHNo+qq0DVT7MmqPJXVYFtDakp2HuUTZcp3dZaYG3nc33yPdR0sCXqW4cNJsyFbANm7w8HTUid16eVeqG068XptDndnLgK4dAOf04tgaWZ6v8ycSpojanXTBNWNqTOgTq7ft4vIf0rvAxVUq8Isfca1Gks7HY7s2fP5u23325/zjAM3n777U4t9R0deOCBndIDvPnmmz2mHwi6rpbpyE/MVNvSogLblhb1d36+mkl1oCYJSff+e8qvrU0Fo1armmU3EFAVtKap13U9tc76iBEqTTisJhQyDPU7+dyIESpATlcZfT41sZDVqiYkSgbhra1qcrRkme12FdTH46kyW61qe6tVXXBZrepiLHlc0WgqANZ19ZrXq34HAqlZ7V0u9Xoy0A+F1D6TF06ZmbDvvnDmmWofPZV/82Y1qVtywrfkrPrdjVxILkHUkaalym8YauK/5DHZbKn3OBzufJy6rvZbVqYuNgf6cwuD/935KpD3UIjO+vud6Gv6juftNWtUfWe1Jm72Gqkbrsnzqd2eWhnF5VL13o7n1uS+k+f8nJzOS9Aly7cr78GOrNZUfeT1qpvYDocql8uVqv92RbLeS0rWWaapjgfUMdrt6nc6z0lyDkw/eU+F2HsN+mz2Tz/9NOeffz4PPPAAc+fO5e677+aZZ55h9erVFBUVcd5551FWVsYtt9wCqKXpDj/8cG699VZOPvlknnrqKW6++eZ+LU2Xrm6E3a3HOWWKOuEN1jrzu7P/nvILBuGJJ6C6OrXOfF6eurDJykqlzctTFXljY+/PpbOMyeA5GlUt7X6/Ct7d7tQ+o1F1DIaRarHWdVU5JW9CVFV1Xite11U+48alVvXbvl0F4YaRmqm4oEBtU1mpAn0z0SpeWgqnnQbf/37n4+yp/E6n6o6+Zo0qa8dZkp1OdQEWDqueBB1bgzRN7S95kWizqYs0pzN1kRYIqFUFwuFUeqdTHf+oUeoCb09+brt7H/b0d+erQN5DMRD2xtnsk/r7nehr+o7pVqxQK7Uk64rkOvNer+plZbGofIqKej+3JvNcuFA9Ti6T2nGd+eTf0GGd+Q5XbMmbzcmbvB1vBCd/OtZHRx8Ny5er46itVXVeS4uqO5M363uTzNNiUXWgM9ETPxBQZU2WzWZTxz9jBhxwwMCdk+QcmH7yngoxdOwVs9kn3XPPPfzhD3+gurqa/fbbjz//+c/MS8zofcQRRzB69Ggee+yx9vTPPvss1157LZs3b2bChAncfvvtnHTSSX3eXzovHgxDBXqtraolduTIPXvnMt377ym/SARefFEFnOXl6sLAau2aFvr2XDrLOGKE6gLW0pJ6LitLXcAsWqQuWAoKoLgYNm5U22dkqDRZWWr7rVtV5VVVpcZ1u90wbRocdJAq6+bNsHatushqa1PPlZSoCxWABQvURV4goLqqTZ2qejV0d5w9lb+1VQXty5bBF1+oC6MDDkh1y1+7Vh1LstdAYaG64RAIqAssj0fl5/er35mJwX+tran3pr5evRcTJya6ivoH53Pb3fswGGXY28l7KNJtbw7mof/fib6m75jO4VDdkbdtU8HO3LnqZmnH825fzq3JPFta1I/fn5hx3Z26OdzaqsYqu93q5mtrq6rXAKZPV4unLFqkhm2BqjN0XdVn3dVHHY8jOdlZS4u6kbx2rXo8caIqe1OTyiMnJ3UMmqbqEK83Vd+43eoGR329ejxmjNomK2vgz0lyDkw/eU+FGBr2qmB+T9vTFytCCCHE3mBvD+aFEEKIr4K+1o9yr00IIYQQQgghhNjLSDAvhBBCCCGEEELsZSSYF0IIIYQQQggh9jISzAshhBBCCCGEEHsZCeaFEEIIIYQQQoi9jATzQgghhBBCCCHEXkaCeSGEEEIIIYQQYi9jHewCDAbTNAG1fp8QQgghlGS9mKwnB5rUx0IIIURXfa2Ph2Uw39raCkB5efkgl0QIIYQYelpbW8nKytoj+wGpj4UQQoju7Kw+1sw9dft9CDEMg8rKSjIzM9E0LW35+nw+ysvLqaiowOv1pi3foU6Oe/gc93A8Zhiexz0cjxnkuLdu3YqmaZSWlqLrAz8Sb6Dq4z1luH9ehtNxyzEPj2OG4XnccsxD75hN06S1tXWn9fGwbJnXdZ0RI0YMWP5er3dIfigGmhz38DEcjxmG53EPx2OG4XvcWVlZe/S4B7o+3lOG6+dlOB63HPPwMRyPW455aOlLDzmZAE8IIYQQQgghhNjLSDAvhBBCCCGEEELsZSSYTyOHw8ENN9yAw+EY7KLsUXLcw+e4h+Mxw/A87uF4zCDHPdyOe3cN1/dtOB63HPPwMRyPW4557zUsJ8ATQgghhBBCCCH2ZtIyL4QQQgghhBBC7GUkmBdCCCGEEEIIIfYyEswLIYQQQgghhBB7GQnmhRBCCCGEEEKIvYwE80IIIYQQQgghxF7GOtgFGAyGYVBZWUlmZiaapg12cYQQQoghwTRNWltbKS0tRdcH/n6/1MdCCCFEV32tj4dlMF9ZWUl5eflgF0MIIYQYkioqKhgxYsSA70fqYyGEEKJnO6uPh2Uwn5mZCag3x+v1DnJphBBCiKHB5/NRXl7eXk8ONKmPhRBCiK76Wh8Py2A+2ZXP6/XKxYMQQgixgz3V5V3qYyGEEKJnO6uPZQI8IYQQQgghhBBiLyPBvBBCCCGEEEIIsZeRYF4IIYQQQgghhNjLSDAvhBBCCCGEEELsZSSYF0IIIYQQQggh9jISzAshhBBCCCGEEHsZCeaFEEIIIYQQQoi9zLBcZ14IkQamAf6tEGsFayZ4RoL2Fbk/aBrQthla16q/MydCxui+H99X+b0RQ4N8xsRXyVfp85w8lmgLRFvBlgm2rP4d01fp/RDiq26Qv6+DHsx/8MEH/OEPf2Dp0qVUVVXx/PPPc/rpp/e6zXvvvcdVV13Fl19+SXl5Oddeey0XXHDBHimvEAJoWQXbnoeW1RAPgcUJWZNhxBmQNWWwS7d7WlbB+geg5n2INKrn7LlQdDiMv2Tnx/dVfm/E0CCfMfFV8lX6PCePpX4htG2EmB+sHvCMhYJ5fTumr9L7IcRX3RD4vg76bT6/38+MGTO49957+5R+06ZNnHzyyRx55JF89tlnXHHFFVx88cW88cYbA1xSIQSgTlxr/gyNn4IjHzInqd+Nn6rnW1YNdgl3Xcsq+OJG2PYSxNrAWQyOYnVBtu1l9Vpvx/dVfm/E0CCfMfFV8lX6PCePpeZ9aNsERgxs2eq3f5N6fmfH9FV6P4T4qhsi39dBb5k/8cQTOfHEE/uc/v7772fMmDHccccdAEyZMoUPP/yQu+66i+OPP36girlzfn/Pr1ks4HT2La2ug8u1a2kDATDN7tNqGrjdu5Y2GATD6LkcHs+upQ2FIB5PT1q3W5UbIByGWCw9aV0u9T4DRCIQjaYnrdOpPhf9TRuNqvQ9cTjAau1/2lhMvRc9sdvBZlNdiTY/R6BhG/XOcgpCFohqVIVLaHEXEG75EnPdvwmPvICmJiul8QglOYH2bFY32/FHdLKy47icJprNRp5nFPX1YCGO1bGdcDxCqcOLu9lDMKThygjQYqmnzu4kio2Gegs6BoXZqXybmy2EQhqZmQajXFEcVgvF2WOprtJp1gxMTxWBaBCvI5OYP5NAUMPhChO21oPFQtxqp7HKpO2dB2nb9B6BuIbPlstW1wiMRgO7loFTryWirSD+zs1EXEdiNa04HXUECWKEI+ixTOKN67HGKoh77LQYARyBajA1wE6m5TOasu4m5J5M3GbDiRO7LUp50xbqAi503Y4bJxFvLtlGBf5AGJ/hQHdkEnXYiXs0rMZ2/IFsDF3HFg5jD4XIdDQRi9toJZtAtpdcXxy73SA/Xkttm5tAdh423YkLO05bI21GlHBzCLstE9CwWOPEXbUEfJlYIlFMQAOcGUH8zgzCUQ9Rmx0HTpzEKA9spqHNRVy349CdGJl55AW3ETIC1EetWB05BDPcGHYNh76NQJubmGbDHghgi0Zx231opkmzXkjY5SQrYGKzaOTrNTT43bRk5eLEgRsHDlsrYaONYH0QqysHAE03iGX7MOpiGDFLe3m1TAPTYSEU8hByOrFjxxOJU2pU0NZmJ4ANmz0DqyOLvGANYa2F2pAN3Z2D3+tVXzXbNkIBGxHTidunyum0BbDpYRr0UmIWC54I2DUbubZafBEXjS4vDuxk4MZuDUG8mtaGOJorG03Ties6Zo4Pa7WPsJE6X8dybNhsYYIBLxGnAx0r2YE4uXoNRkCjybCiubLI1DLIDvuI2mqo9TuIG7WEHIBtDJlUMqmxmnNPmUFpwVTwrYRtL4B3knTJlTq5/2n3dJ1sGrD2aQjVQdY+Kn0kBjEn2MZD82palr1ITUk5Da4wOJtUvaXr1FRbMCNRCnLD7dWj36/jaDAo9rqYMCIbXC6qMFm0vg4jEmV6eR42m0q7tb6RuqYYDqdJTnYcp91Gnq5RXWkhHoqSnROm2aUyDoY0WpoteF12la/DganrLN9QQywc49BCL/kuDdY+zbaKar5sySVms5Oba4JVBzs01OtEffnkBEI4zGdg9NnEQhastSYep43pY/PBbmPNltd554soLeEJ5NGGGakk1BamKWyjtqWemPsu3GWjsUUjZDY34fe5CEdA8/iJ5VgwTINY3II/lIXNXkBJVgzTZiEeqGdbC8QCuYwP+ijMC0LIR4PhZ2VsIiFXBq6RLRguHXs4TKAtk2DAi8vWhjezAQBLJEbrthwcZg7TvQ2YHo0mS5jtfo1mRlJoMSjythIhTgt+qpryCNk8eHNq8cSbcYZD6Ntj+Otz0LLjZBU3EXJ5iFjtNDUVY1hzGZkbxeaME4/4qPfHCDZlM7ItyJisetytTdTrrayITcBvy8Q2KoLVFcYaixP1W2ltycehhcjJrQHAGfTTUpWPNexlYmYAS75GmyVKZThOfXgEueiU5zQTx6BF81PZ7CVoycST2UyOUYM1HsW93UdDXRnRXDv5BZX4M7MwdZ3m5nxiej7FXpMMT4S4EaK5rRVfTRbF/hhTMmrwhP1U24OsjRXTZCnAUhLFmRFANw0ImDQ1FmPTIuRk16DrBp7WFnxNuehNHsqzwFGqE9Lj1BCl2ldMpmljVFYLFt2gRQtQ6XfSFs/CbfeRZ6vCGouQUdtMTf1owllu8vIrCWVlANDalk0oVkBehoW8rDAxM4Y/2EjzVjfZISv72bfjMUNsd8fZGM2k1lqGnmuQ4W3BBKzhCI0NxeiGRk5WFTZLhIzWFtp8mZg1XvK9TjLG6UQxqLGEqG7KwxVzMjqrFbslRqsWpDao0RjKw6n7KcyoxBYOktnczPbm8YQcGXgL6jCz1DVpMOimLViC1+OkODdADINQsI7mTVbcEQ+zjEoyHEG2ea1sj2ps1ceAx0J2Xh2GBo5wmKbGQuIxG9kZdWToLTiDfmI+C8HKAtzZ2RSOjxO0WmjW2tjelIk9msEoVwi3M0RAC1MfjVHbWogzGiA/fzuOYBuZrT62BccTIhNnfis2y1qI+IiQj6/NwxHRj/naEZOYMmYP18fmEAKYzz//fK9pDj30UPMnP/lJp+ceeeQR0+v19rhNKBQyW1pa2n8qKipMwGxpaUlDqRNUNdz9z0kndU7rdvec9vDDO6fNz+857Zw5ndOOGtVz2qlTO6edOrXntKNGdU47Z07PafPzO6c9/PCe07rdndOedFLv71tHX/9672nb2lJpzz+/97S1tam0l17ae9pNm1Jpf/az3tOuWJFKe8MNvaddtCiV9vbbe0/77ruptPfc03vaV15JpX300d7TPvNMKu0zz/Se9tFHVbrWTWbN7QebrifOMll0rzljwVumbVvYxDS7/xm90uQ3pH4+be45bYefg17+u3kaz5tgmpcXXmzywKw+bYdpmjw41+Q3mCvXBkwwTcvfjb5tV2uafGmaxKN935f8yM9g/kRCJmB+8s+LTPPzG0xz8RWm+dG5ptm6ydxVLS0t6a8fO9gj9bFpmlInJ+wFdXL8zR+Yr6x63PTeEjT1F2Pmg9+5qP21m/i1ySn9+E6Um+ak0n+ayTr5iGiwb9utfknVUVmb1a6v+Vqf93nDKalrg2Nnn27yxz6WtabSBNPMyFlmmmD+qKjAtAf7WN43rlLlHfWO2vX1/+v3+eP+A1wml08wWdK/7XjMNF/iFPOiefP6f8761muqvI+H+rXd7MWLzUWlmNyc0f99XmCal1luN8/55S/7eX71m5z0A1XeLf3b52V/+IvZZsPkiVP6X97RpjnT/o558Guv9W+7ta+aXLy/yZh+7s80zVtP/oVpgpn5zh/7t+02dZ2VZdtmOvr62U3+/PfnJtd4TC7sf3l/57naNMH0blzSv21f+1T9P+fF+v9/+dv+6jv3zx6ueQ3DBMynbvu/PV4fD3rLfH9VV1dTVFTU6bmioiJ8Ph/BYBBXx7viCbfccgs33njjnipiV5EI1Nam/jbNntNGo31PG4t1Ttvb3fd4vHPa3u6oG0bntL21XJtm57S9tTDvmLa3VmPonLa3VuNk2mSrQSjUe9q6utT7Ggz2nra+PtUiEgj0nrahIVXm3lpvABobU2nb2npP29SUStva2nva5uZUWp+v97QtLam0LS29p/X5VNqWzSy0jSR49hMAfN4hiSUcJa4nP1c6xG1gieLo8PEJR+MQMkGPgqY+r1bdQSzxsdH1MIYG1mgUG1EchLASxxYzicZCYGoQtyd3mMrYsIGpgx7DFjPRDQtLVm/Gbp+EGQciYeIaWA0wTStxLFiIEbfroCeadQoSPzt2WAqbQBz0GBhWsFq6DlCKamDGVRm0OFhNlU/Hr4MlAlZ71/c2Foa4I/W3HfR4DMPQwLSo90nXu/ajigOxRL6mrvZnA8IktomqfO2opuuOIgBGoryG2s7QVX7Jtm5rDCw77NQAjHDif6CptA4NSyRKXEv8HzDBpnXzHplgaKpcALpNZRFN7NMSAcMO9h0Lmzim9jZ4tc/2/JLP24xUz5j29zaxcfvnwwSrhiUSI24xEseRyG9HEaP9M4VmgMWu3vPkR9wSBs0Olh22NeMQsaT+Vh0zIBJP/T9Nvef/ix5WnzPTAjYTTA1LLE7cElP/z2R+0PWcb/VAcLuahGeIGvT6GKRO7intINXJvy89kesnfw2uVn+/0Xg8Fz/+MKB6bOlmBCOsg6XDcccS58yO9YBpAUscS1wd85LVW2grLQGXSmsngob6/0U0C6ZpbT9XakYcm24nYo2AJYTVMIhFE+U29cS5zcBBFNNqw9Q1ohEADb3D/9mKobrVhxPnuuQpKnnO7FD3EYuCJYRFV+97VU0djnCYCDZAx0oUCwZxDWK6ljpfWSNgJD4vwXz1u3EUxEKgWcBi6/X9TtJNHYthEo+YEALsZqo3RXeS57Yo6BhgmmiRECY2sO2k5TEeUWXXYup3zFTl1a2qzD3uE4iAPRJBA6xxiIUS30FHz5sBYEQhaoN44nMUj6NHQhi6DSw7K29Y1c2aoQoRBqLhRB3ey3uUqJctie+oNWao8uqoenan+7Src74WxRqNoodDGDZ77/8XAzDDEI+qspoGhDSwRMG6k51G1fZ64vNkjcUgHFfvTy//FjDV/zQSB0wsxBKfXTAdO/nHxAAtnPoMG4nyWuOpXqg9SXzdddR3yBKNQDgGNkuv/xbMuPpexlV5NQzsoSgRTcO0d3Nd1lGyXjZN9XmMmeo61maC3mGnO1YNe7A+1kyzt5ppz9I0bacT4E2cOJELL7yQa665pv25+fPnc/LJJxMIBLoN5sPhMOEOFY/P56O8vJyWlha8ie6Vu83vh3Xrun/NYlFdw5J6Cwp1vXP3v/6kDQZ7vtDQtM7d//qTNhTq/aKkY/e//qQNh3feTa+vaV2u1MkuEtl51/m+pnU6O3edT1dah6NzN/u+po1Ge784s9s7d7Pva9pYrPcLOZtN/fi3ccqfM3jnWzMIHWPjog9eIr++iTJfHZmxEBhh4oQwR5wA9hy0eFydbHtgWKwYiX6P/UmLYWCN9HwxubO0oYCfa5e8Rf0df1Tv0aJFHLBgAe7IB7zj/gwibeiRENN9GZzeNpLimINoi51rXvoPbeFc7rrtaUaNt2ONhAmGrBiGhj1eja3qKTWTqcWNqWsYtlTFZAm0qHH45d8EV0Gn8pi6jtGhQrH0cvFrahpGh/NJv9KGw71+7+O7mFYPh9F6qUriHc5T/UobiaD1cj7pV1qHo/17r0ejaL2cT/qV1m5v/95r0Sh6utLabO3f+/a0wTqoeKb9M6bKauWw2aPIzXJBpAUiDTD9t2r1hV3g8/nIyspKb/3YwR6pjwFWrOj5vCp1cvdp93SdHNgOa//Kt46+jqfL5zGuoo556zZwUPM6JjXXghGCmJ+7Yyt5teFFTio8hzNH/6T9O6RHo+jxnuvOmN3R57Rxmx0z8X3rT1otFsMSi0KkCWrewdkSInvLOqonjgDdQtxq4Ru/fZrMBnVB3+ywsSIWpyJuUAmsAp5M5GvY7RxUmEVWaQHOTC9OpwNLhpPqHB+vFH+My3CQt+qbTB7voDS/BIfNiyVUyFv/OJp5B27h4CM20eL28JuTT2bathrKm1spC7dSHA6SG4ngiMexRqM4w2GshoHNMLrEP4bFgpmsO+NxLL1cQ3RKaxhYermG6E9a02JJ1d+mqeqidKTtTz0rdXL3aaVOTqVtq+62Pp6zTykjirx7tD7e61rmi4uLqamp6fRcTU0NXq+320AewOFw4NjZnaLd5fF0ruh609d0/U3bw/HvdtqOFyfpTNuf/0l/0trt6uermDYZVKc7rdWaCux7YbpK+eLVQoKPOfjVzx9n7NRt6gULxCx2CDeDu0wtw4OqaGOWvn3W+pMWXSfm3LW0pmny6J9upv50NVdH3u138PclXzDz7ScovxKIwfdcYzi3eAZFIzzJjSDSyD4zf8qyxnO44uff6DoGyjRgZYua+MQ7tfOddNNU46dyD4Opl8l4ZrFrTANWtvb8GQtug9xZalmcIWqP1Meg6s7ebpLumLY/+faV1MlKT3WcaxwUTKQ50TvqjG2fcUz1GgDiTgeEGiBnFMe455KTOY4yz9ROvW8Mmy0VyO3EQKU1rVZiViseXzMzn/uYCf9bTNRp54mbTsfIzAarhUVnH0jEEuHejyt4ddGGTtuPmrovZ33rAsbPmEPBiHL06v9itm2mRrdS7CxC08BjsXFS+CQqP5nAzf/+BrYJGte+pVFcBq0aXPlz0CjDy0HkAD8EssaM6FP5hRC7aAjVx3tdMH/ggQcyf/78Ts+9+eabHHjggYNUIiGGD03Xefkfr/DOK5XYy6rByAHNBmZUralrdYN3ypAOVj9682UWvvs6vPs6jmef5bFZh3Piy09zxzzV03yGo4SfZYxRrejJfmaxFjAN9p9tcOS8Ed0fn6arpUj8FSpwd41Q3axifnVSd+TDiNOH9Hsjhjj5jImvEk0nlHM8/62YDWVg9QXVBbIRhmgTWDMgZyZTXCWMytyHxvBOhoMNAkdLMzOefpQpLz+HNdGzrKUkB7cZp80eBN3GuhkFPPjAhyxbsgVQvVBnHH4sx533PSbMnIvWIQiIZe3LExseYkHTp1wz4VL2z5uB3YySrZvYxoXJzjXYd38rhSVQocE3gIuAm4Dk7aA+Ng0IIXbHEKqPBz2Yb2trY/369e1/b9q0ic8++4zc3FxGjhzJNddcw/bt2/nHP/4BwA9+8APuuecefvGLX/Dd736Xd955h2eeeYZXX311sA5hp5auWMF9TzzBB0uWUFlbi2EYlBYWctDMmZx3+ukce/DBg11EIfrshu3/5IWCt/i25XSOjNvVOCTdqlrkvVPAWTjYRexR5dZNPHHvH9r/vnL2URz68lNo8TgPH5wJtHLmxEsBDRoWEQ028avHf8mFx8/nsCM9ZMz+Tu/rhmZNgUk/Tq05Gtyu1hzNnaVO6rJGsNhd8hnbJZu3bWPM0Ud3es7ldJKdmcmUceM4eNYszj/jDMaNHLq9Gr6KtrZOxBypgtmceAOEa9QNYs8oyJkJrhIAor10ex8sE19/kXl/uwt7QM2RUzVzLkt+8H1qR8SgbQOE64gEfNx33wJWLN8OgNVm45Lb/8rMI4/rNk/dU0qLxUXcNGgKbcMeLgTdDpkTGDXuQJ76xMqI0RC1wI+AZuB/DIGLeSGGoyFSHw/693/JkiUceeSR7X9fddVVAJx//vk89thjVFVVsXXr1vbXx4wZw6uvvsqVV17Jn/70J0aMGMFDDz00uMvS9cAwDH52223c9dhjWK1WjjrgAL521FHYrFY2VlTw6vvv8/hLL/HbH/+Y6y67bLCLK0SfbLQ5IWskmfmHgGe6mrTF4lBd64dwi2AkHOKBm68hElbj2Y457msccegxLJ0+B//7D7LG8zJ23cFJEy8Hmxf823nkgRgvLR7Dx5uOZss1Grj7cHxZU9RSJP6tauITa6bqZjWE3xuxl5HP2C4bN3Ik3/na1wAIRyLUNjSw6IsvuOm++7j5gQf4xcUX8/srr+zUWioGzvhRUQrHxqjFSmbOgWCZDLoTHHmgaaxsWUJjuJYi53hc1qzBLm67vPVrOPTu3wFQP2kflvzkarYfeFiiq60JoQZCrQ385Rc/Y00ikLc7nVx250Psc9BhPearaxZ+eMCjNAY2MCt3OssXGmTm2Bk3OpfiEh2HQ82zdSOwGsgD/sPO51YTQgyQIVAfD3owf8QRR9DbHHyPPfZYt9t8+umnA1iq9Lj27ru567HH2G/KFJ7785+73PEPhkLc8/jjNDQ3D04BheiHNr/Gd35ewpf33AOTR1H78bvgyxzsYvXZe6/8m+3hADz5JIUPPsJl518OQLR8JA8fmQdb4MjSU/Has9UGGeXseyBcZoPDD7fg6sdQWTR9lyc8EaJP5DO2S8aPHMlvfvSjLs9/uGQJ5/7iF9zywANYdJ2brrhizxduGNJ18FnVRa/H4gW3p9Pr87f/i7eq/83XRnyPr434/mAUsVsN4yfx6Xe+Rywrm+UXXbbDShoaOPN59o47WfOpWvPF6cngx395lImz5u0078KMYkbnjAPgnw/A1nXwj3fBMVq9/hwqgNeBp4GyNB6XEGIXDHJ9POjB/FfV+i1buP2hh8jLzub1hx6iKD+/SxqX08nPL76Y8M6WgxFiCHhvkZsX384Ap5r4qDi2ByaxSqMvl34C118P3/oWnkOOwPvfxUTtDqIOC+9VvgTA/427sNM2Bx0ERx8N5eWDUWIhxJ5yyJw5vP7QQ8w47TRuf+ghvn/WWZSXlAx2sb7ywppGJNELIiPWdebrEtcoxmZMZWzGtD1dtK5l+XwJvtIR+AuKweVi2c+u6zHt1tUr+OC5fwHgcLn56QNPMmbajB7Th6JtvLH+AY4Z+13KMtXkdUE/BFqhrQWyc1W6zcBvE9vcBBzdTV5CiOFF+uQNkMf+8x/i8TiXfOtb3QbyHTn6OpO5EINo2oQwv/rxFihWF1wl8X7MvjzI4vEY6xpr4OKLAbh0fTVzr7+cwy49iy+/fIqWaCN5jiIOLu46jlG+nkIMD5PGjuWbJ55IJBrlhbfeGuziDAvPvpDBHdfW8fcnK3HHu/bS/PaYK/jj7BeYln3QIJQupXTZQo679icc9bur0Z1OyOp5mSjTNHnythvae52e8v2f9BrIA3yw5UleXvMn7lzw7fbnXB6452V4bgkUJyanfxq17PURwNW7d0hCiK8ICeYHyEfLlgFw1AEHDHJJhEiP0SNiHHv2ivaW+dxYz8NjhpqKDWuJlJaA1Yqjsop5K1aRsX0rjsY6Xol/AsApo87Bqqc6K7W1wYYNvS/RLIT4ajli7lwAFn/xxSCXZHi478lsrry5kIo1ti5rnidF4j2vdb4nlHy2mGN/81Os0QjBwiI0V++90ha/8TLrPl0MQNHIMRzz7e/2mj5mRHhz/YMAnDblR53ma3A4YOp+6nEEeD7x/E+RC3ghhCLd7AdIdX09ACOKiga5JEKkz/KQmrVXi/hxxPeeKHftF59Cruqn6A1HKViyAICmGXM4dMRphLQoZ469oNM2ixbBD38I++0He8EUHUKINCgtVKtx1Dc1DXJJhoeTDvNTmBtj1KiuAXtzpB63NZOIMXjBfPHypRx3w5VYI2G2Hnwk79zxAIa952A+HAzw7J2/a//7rJ9dj62X9AALt71IU6iabGcRx4w7H4BtG6FkFGR1mPPvHaAJKAZO2I1jEkJ8tUgwL4TYqYWfOwlHNFYVqIsqu79xkEvUP2tXfAoTRgGQp1koWKqC+brDjuXwklP4+vgLybBndNrG5wO3G8aP3+PFFUKIYeHaSxtp9ul80WYnsEPb/D1rruWT+rc4d+zVHFxw6h4vW9GKTznu+iuxhsNUHHg4b9/1t14DeYD5D99LU201APsechTTD+t9VLthGryx7n4AzpjyE+wWB9EI/PxscDjhkf9CxmSV9j+JbS5ALt6FECnSS2eAFCfGyW+vqRnkkgix+255IJfDv1POO5+rqwpnqHWQS9R3hmGwbsVn7S3zRYZGzio1w3DdwUehoeG2dZ2q/vTTYdky+Pvf92BhhRCDqrK2FoCCxPlCDKyXPR7mTR3JnRNyury2tnU5MTNCrr14j5cro7qSY3/zU2yhINvmHcLbdz+400C+btsW3vjH3wCwWG2c9fPrd7qfL2reobJ1HS5bJqdMuhSAig0Qi6qf8rGptLcCNwBDZ05/IcRQIMH8ADl41iwA3v7kk0EuiRC7r6QgRn5ODH1iJQDuUHCQS9R3VVs34W9tSQXzldvQ43EaR49mvvUL1vo+73Fbm021zgshhof3Fi0CYP999x3kknz1RSKwTbey1m2nzmHp9FpzpIHa0DYARnmm7PGyOVp9RN0eaqdO560/PULc4dzpNi/cdyexSBiAY79zEcWjxu5kC3hrw8MAnDTh+3jsqk/92Cnw+AK4/+XOE7DmAj8DxvT7aIQQX2USzA+QC848E4vFwt+efpq6xt67JMvSdGKo++uNtXz5ymaCJT4AvOG95zO7dkViwHteHgBl69cCsOKwedz6+U/46SdnofUw9ZLMZC/E8LF20yaeee01HHY7Zxx77GAX5yvv7y9kcfmf1BwFnh0mVE3eZC1xjcZtzeiy7UBrmDCZ5x96jrfvepC4c+eBfFtzE0vffBWAjOwcTvnej3e6TTQeZl2DmijvxImd29vz8mHfOZ3TWwFP34ovhBhGJJgfIONHjeIXF19MfVMTJ158MZsqKrqkCYXD3Pnoo/zmL38ZhBIK0T+hiI4vcVGTHdl7Jr9b90UimE92my0uZ8vJX6f6oEPZN2cu++bN7TR7MEAoBBdeCNddp1qPhBBfbR8tXcrxF11EOBLh6u9/nzKZvHbAbd5uxfCqc69nhwlV17aqYH5Mxj57tExaLKYeWC1EyssJFJX0abuFr71ALKoqiwNP/TpOz85vQFS0rCRmRMh05FGWOQFIrZ7SceK7FsAAvNDjjP9CiOFL5tAYQL+74gpC4TB3PfYYk048kaPmzWPaxInYrFY2bdvGWwsW0NDczO+uuGKwiyrETsXiGpYPboZlf2ZO8RWglQ92kXbKNM32lnnL6jVMrGsmOzOP1T+5liyvlz9wEsUZXcdjbtkCCxbAl1/CI4/s6VILIQbK+q1b22+gR6JRahsaWLR8OV+sXYvFYuHaH/6QGy6/fJBLOTz89scNVHit/JMs3LHOwfyaRMv8nuxi72xu5NQrL+Lzs85n7TnfBa1vobNpmnz4/NPtfx9y2jf7tN2GxqUATM6b135D+dKTwemCO5+AcYlDvw5YCfwVOLmvByOEGDYkmB9Auq5z5zXXcM4pp/DXJ5/kgyVL+GDJEgzDoKSggOMPOYQL/+//OOaggwa7qEL06KFnvdz99xyOnBdg/rceZm1oK61m3l7RRFBfvZ3mhjoAJr38GlfPPZHCYBgSy08BWHRLl+0KCuDmm1U3+z5ezwkh9gIbtm7lxnvuAcDldJKdmcnksWO57tJLOf+MMxg3cuQgl3D4sFgg4lEn2IwOwbxpmu3d7Ed7pu6Zwpgmh/3xN3irtjHthafYcPb5xLH1adMtq76gYu1KAMbuO5Oy8ZP6tN3GJnWjeUrhgQC0tsDmNeq13EQV1QC8DcSAoX/7XAgxGCSY3wPm7LsvD8tkOmIvVVVr5ct1DvadGCbLmkWZawwb9PBgF6tP1n6RWiB+4rSZTHv270THT6W5+DgM00TTNCxa12A+Nxf+7/9g9Og9WFghxIAZPWIE5po1g10MsYOmxM1UT4dgvja0nZZoAxbNykjPxD1Sjgn/fZnyJR8Tszt494/392nCu6SPXnim/fEhp5/V5+02Nqr6aWqBatDJ8MKj70FDJeSoKV54HhXIzwam9zlnIcRwIsG8EKJX553u4+BZQcIR1YISIT7IJeq79snvgLkjRjHz5mswLBbefX0pd2z+HUvr/8fP9ruVM8de0O32tr41zAghhOiHcETjV3fmsfp6O3ghI56aAC85Xr7cPR6b3vtycOngbG5k3oN/AmDpD39KUx9b1gEioRCfzH8BALvTxf7Hn9qn7ZpDNTQEt6FpOhPz9wdUL7CSkTBHNdQTB55MpP9Bn0skhBhuJJgXQvRqVFmMUWUx/rlmHZeMzyc3YnL5Vuve0Mu+vWXeYreTU1JITWEhrowsYple6kJVNIRr0LtpmV+2THW1HzsWrHKWFEKItNpaaeXOR3PRfq6C+I4t89XBrQCUuHe+tFs6zHvgThxtPhomTOHLcy/u17afvvM6wTa1ysucY0/GlZHZp+0y7Llcc9jztIZrcNtS2+h6ahWV/wHbgGzgnH6VSggxnMhs9kKIPllsbKdi3DxWjJ6yVwTyzQ111FWpdYpHzj2YH17+XYpramhNrP3bEK4FoMhV2mXbH/0IjjkGPvtsjxVXCCGGDafD5KoLG3EVdQ3mfdEmADKsWd1um05lSz5m/LtvYOg6H95wO2Y/797+74Wn2h/3p4u9VbcxLnc2J0z4LgCmCQ/eAh+8AuGQSvOvRNoLAHe/SiWEGE6kzUkI0atlXzrYWmXFLJkN7D1rzHfsYl++/wFsArKbmoiUqgmuGkM1ABS4Oi89FIlAfj74/TBhwh4rrhBCDBvlJTHuuLqeqE9jW9BKXiQ1fMsXbQbAYxn4YD5n83oMXWflWedTP21Gv7at276V1YsWAFBYPpoJs+b2a3uLZsGqq7FclZvh3w+C3QFnfQ+2AB8k0l3Wr1yFEMONBPNCiF7d+69sHvl3Fifery6simP2QS5R36zrMPld8fSZAOQ2NhIYMYpQPEhbTHWNLNyhZd5uhxdfVN3sswb+WlIIIYatn6xvplHTabSnOoq2JlrmPXugZX7F18+l6qDDaJnc//XsP3rx2fbHh5z+zfbl5XYmZkR5+ovfMil/f06Z9H2sug2LDU6/AHRN1UHJsfLHAeP7XTIhxHAiwbwQoldjRkSZOz2IpVR1h8yKxAa5RH1TsXFd++PsiZOBVDDfmOhi77C4yLR1f8Fo3zvuWQghxF6nqUUn02MQj4Oxw0SjP516B+eHfkEwbnS/cTpZLTT0s0Ud1PJ5H7/8bwA0XeegU7/e5223+1bz7qa/s2jbC3xt8g8BKB4BP7geysshCPw7kfbH/S6ZEGK4kTHzQoheXXtpIx89WYFlouqWnhHeO5alq6+pBCAzO5e4R404zG1sJFCWCuYLnCU9tqZIMC+EEAPjlEvKcM2YwLsLXRg7nII9Vi/F7lFk2LIHZuemyay//5WczevB692lLLavX0NDYk6WKXMPJruwuM/bOq2ZHDvuexwz7nx0LXUZbrWqn3pgMjAaOGGXSieEGE4kmBdC7JRpwuuRZepxW/Ugl2bnopEwzQ11ABQUl9JmV52QtJKRhIpKaAwlg/muF2B//CNcfDG8994eK64QQgwr22utxLwaW2dYWZXR9c6pYZrdbJUeIxYvYOaTj/C1n1yIPRTYpTyWf/BW++MZhx/Tr22LMkZz1r7Xccn+dwEQjUDlltQN5HLgcWAp0HWtFSGE6Ey62QshdioajxF2ZwNQGLMCQ3sSvIaaqvbH+UWl+O2qH6cttxCCPhrCqpdBobvrTPaLF6tZ7Fta9khRhRBi2Nnw5iYe8Xn5/rxixrVFuPdTdU42TZN7116HQ3dzZPHZOC3pncddi8eY+5BaU37lN84l4s3epXyW/++d9sfTDz2q39vbdHt7q/y6L+Cqb8DYKfDaSvV6JpC7SyUTQgw3EswLIXp1yfWFLFxhgfkOAArjdoZ6MF9Xvb39cX5JGX6bOtV5DdXak1qWrqzLtldfDVu3wgEH7IGCCiHEMGSxgJ7TdVm6QLyNV7b/A4Cjir+d9v1Oev1FcrZuIpSVzeff37UR6W3NTWxYrnqqFY8ZT8GIUX3eNhD1saV5OfsUHNT+XM02sNlh5LhUuuxdKpkQYjiSYF4I0asVax18/qULvGrpoOwOSwgNVfXVle2P84tK2drSCBSSX1sLuNrHzBe5uwbzM2fCUUep2eyFEEIMjCZNdSL3xFJd6jU0vj36JzRGGnFYnGndn83fxqx/PADAp5dcQcS7a7Plf7ngfUxD3YDob6v82vqF3LPwIsqzpvDgaaoZ/sjT4JATIdsLLwCjEj9CCNEXEswLIXr1x1/W8fyqL/lDpQVHqIyscHSwi7RTHYP5guJSNgVbAShZuwrGzWpfY37HZemSbLZunxZCCLGb3v7Yxfz3PVR82woTwNNh1nq3NYNzx/6UxkgLgVgorfud/szfcbU00Vw+mlXfOHeX8/n8g7dTeR56dL+23diklkydnD+v0/OeDMgqgV8BcWArauy8EELsjEyAJ4To1YEzQ5TvtwSePZ7pT1+Kdy9Ymm7Hbva3XH8Dr51wAjPa1PCAhg6z2Xe0YQN88AHU1e25sgohxHDy3kI3dz6ay8p6NXSrYzf7JDPNE+B5aquZ9rxavX3xVddi7uId23gsxooF7wHgyvAyfr85/dp+Y6Pqnj+1Qzd7AKcT1qAC+VxgxC6VTggxHEnLvBBipyoTLdnZtvxBLknfJFvmdd1Cbn4h+3/wPvZggA8v/Bl+4JLJ19EcqWNi9rRO273yCtx3H1x0ETz00CAUXAghvuIOnRPkygsaWTpadaPv2DLfHGmgNdpE3LRh1dPXzT6Yk8eSCy+lePUKth5x7C7ns/GLZQR8anbUfQ48FGs/bgoYpsGm5s8BmFygJmVZ+j948TE47kywX67S7Qd0v2CqEEJ0JcG8EKJX7y10sWx5Idgy8NryBrs4fZJcYz63oAhPqw97MICpaQRKVXvHnILDyHJkkevsPF+w1wsTJsD06Xu8yEIIMSwcd0iAI+YG+HquGubUsWX+vZoXuX/db9g/71gumXBz2vZp2Gx8+Y3z+DJ/9+qwjl3s9+3nePmWUC3hmB9dszAyawoAyz+BRe/CiNGQvC0we7dKKIQYbiSYF0L06ts/K6Eydj187yMyulmXfajxt/oItKkx8vnFpXgrtwEQKCzGtDva01n0riv4XnghXHIJjB69R4oqhBDDUiyu0WpVIz0zOkyA1xptUs9ZvenfaYZnt7P4IrEknaZp7HvIkf3atj6wFYACdzkWXV1+H3U65BXBvMPgjkQ6CeaFEP0hwbwQoldTxoWpOamJ+LVvsGjTSg5dGxjsIvWq00z2xWXoTXVc9NBDOG0OTgXqg5WsaFrCPnn7Ma/48C7by+R3QggxcPwBjXBEw2dTwXzHlnlftBkAt3XXZprfkb2tlWN/81NWnfYNNv7fObuVV0PVdravXwPAmGn74c3t37Czen8FAEUZo9ufGzUBJk+HvGJYnXhu1m6VUggx3MgEeEKIXr312Hbsx/8bgJxIeiclGgjJLvagWuYjwVYeuegi/vl/Z6ABXzYv5bblV/CnL67rdntNBisKIcSAmXHaKPLmjac2nliaLt4xmFct8540BfNTXnmO4hWfMuPJR3c7r+WJVnnofxd7gPqA6iXWMZgHsFphIxABMoBxO24ohBC9kJZ5IUSvokaUoFNdWBXEunZNH2rqO8xkX1BcyqcnnASAx1RRutuawfTcA5iW27Uz43e+AxYLPPcclHVdgl4IIcRuikTVufjG5+vJ3SeO1uEecaqb/e4H85ZQiH0SM9gvv+gy0Hev/Wp5h/HyMw7r35J0APUB1TJfkqnC9aAf1q2A8ZNhXaKRfzrSyiaE6B8J5oUQvaoJNUBWEQAFsaF/yui0LF1xGS2ZmQB4NHUjYm7BkcwtOJJR2aM6bWeasGwZxON7rqxCCDHcrHl9Mw1NOj6/TiigUedI3ST2xdIXzE/870u4WppoLSlj4/Ff2628IqEQqxd/BEB2QRHlk/bpdx7JYL44YwwAG1fBL86G0lFwzGaVRsbLCyH6a+hfmQshBk00CmdfPAfXMw6CQFZk6Ee6ncfMl1JrUxeKmR3GZeqajq51bf/4619V403+3rECnxBC7HVcThNvpkkgBPEdxjUlx8zvbjd7LRZj3+ceB+CL8y/BtO7e5e6Gz5cQDYcBmHbwEWi7MB5rxzHz0QiUjYaR4yEM2JFgXgjRfxLMCyF6FI5ofLjUDdnq76xwdFDL0xfJYN7ucJJns5O/8H8wfSyZMXUjwjANbJaus9xpGhx+OOTlgcPR5WUhhBBpYia61hs7xMTt3ext2buV/9j3/0tmbRXB7FzWnv6t3coLYNWiBe2Pp8w9uN/bx40YTaEqINUyv99B8PA7akiXHbgVGPrrxQghhhoJ5oUQPXLYTZ68p5KzE+sBeyNDO5g3DIP6GnXBlF9cSlbVNuyNWwDwJlrmL/nweNpiPh48fD775s3pksduDqsUQgjRi2vvyqMh08LSnznIM+JcsU4F8BEjTDDuB3a/m/0+LzwFwJfnfJe407l7BQbWLP64/fGk/Q/s9/a+cD02ixPDiJHj6hyyJ1dQyQB2v6RCiOFGgnkhRI9sNmjb7y3gPPR4HE90aHezb2msJxaNAMk15itoLM0FwJtoma8PVROM+8m0d75YbGuDzz6DMWPgyP4tHyyEEKIPTBN+f3+e6k9+OxSGYu2vJVvlNXRclozd2snnZ13ApLdeYfU3vrObJYaQv43NKz8HoHjMeLILivqdR46rmHtOXonD2nmIl8WSWkFFAnkhxK6QYF4I0av3E5P22ANNDPVV2zqNly8qw1u1ncZpowE1Zj4Qa2tv+SlwlnTaduNGuOgiKC+HrVv3WJGFEGLYMAy44vwmVo+18ToZOyxL1wyoVvnu5jTpM01jyyFHseW0r6eavXfDuk8XE4+pmw6T5/S/VT5VLI0sR0H733/4qZrR/od3wux9QEZ3CSF2hQTzQoge+QMajtAJAGRHYjtJPfh2nPzOu3k9jbmqZT4zZtAQqgXAY83EY+vc8qPrMGmSCuaFEEKkn8UCd/2qjke1TBXMx7quMZ9hS8Ma81ZrWgJ5gNWLU+PlJ889aLfysuqpmfuXfQhNdeAfAWuBx4Ezdyt3IcRwJKNDhRA92lhh4+ELZuM9Pc4F65sGuzg71XFZuoKSMjKrtjFqyxZG1zWQF4nRGFbBfL6z6zRD06bBSy/Biy/useIKIcSw1JKYnCQjllpkPrXGfPYu5zv23TfY718P4m7z7Vb5OuoYzE/axZb551f+gXs+uYjlNe+3P3flrfDT22FLJgQBuY8shNgV0jIvhOiRxQKTsiJ41seY3NhKbIjPDlffcY35olK8ldt44Ac/4DV3CfrEfXk3XANAoau0xzyG+CEKIcReyzTVT0tibfmOLfP75x3FIwd8QG24YZczn/7M38nbtI5oUTFfjr54t8sb8LWwdfWXAJRNmExmTu4u5bO6fgEbGpdy0sRUmeYeCZFcuEMHC7DvbpdWCDEcSTAvhOjR1PERnn7ydWoaNTabOViG+BQ99TWpbvYlObl4GuoA8I8YTSbQkGiZ7y2Y34Xlg4UQQvRBRZWVUUeOxXqLCVfTacy8w+Kk1D0aXfcQM4xeculeweoV5G1aR8zuYN2pX09LedcuW4iZKMuU/Xe9i/0ZU35BQ2ALk/MP6PT8erv6PRmZAE8IsWskmBdC9OrMDy9nY1sFv5r6EGO9Mwa7OL2qq1It8xlZ2Vizc3n86TfJ9DUS92ZBzKAhpFrmi9xlXbZ99VV46ik44wy4+uo9WmwhhBgWIlF1t1RLDIt3x7oG7XGz/4E8wOT5/wFg07EnEcnK3qU8drS6w/ryk3YjmJ9ccCAe2zHkuFTLfvU2qN0Oy48FXDBrdwsqhBi2JJgXQvSqZswRUDqLrcZExrYOdml6Fo1EaE60xOcXlYKmEczKpnHsWJILCSXHzBe5ugbzW7fCokWwr/R1FEKIATFmRJS6j9dzQVkxr5LRacz8W1XPURHYyLjMOYzN2Kdf+dpbfYx9/00AVn/zvLSVd/UStb68putMmj1vt/Ky6qlL7v+9Cg/fBkVLgDyYs1s5CyGGMwnmhRA9+miZHX/8d3DASGrXrIfW5sEuUo8a66oxTXVhmF+sutHXuR38es5Y3DGD/yzd0h7MF7pKumx/3HEwahTM273rNSGEED2wWCA/1yDiUS30HcfM/69uPgvr3+LcMdf0O5gf//Z8rJEwjeMmUjs9Pe3crY0NbFu7CoCRk/fB7d21WfZr2jazsWkZU/L3Z1qRat23O6FsNLSOVWmGdp83IcRQJsG8EKJH6yvjkDsaAI85tE8XHZelKyguY8wHb+KKBeDQfdvHZTb0MgHeuHHqZ+LEPVNeIYQYrma2hojENUpDqSVPD8o/ngJHKeWeSf3Ob9LrahmS1d88N20Tn6xZ+kn748lzdr2L/aq6//H4579mbtnJTCt6BYDTzoevfRdOyVFpJuxWSYUQw9nQvjoXQgyqcZNqIKsemIfTHNrTvHdcli6/uJSyJZ8Q1iMAZMbimKa50wnwZCZ7IYQYOFu2W3n8JS8F9jh/PqaWKmdq3fXjS8/iCOMM6kL9WwbVEgnTOGY8rqYGNpx4WtrKumbxx+2Pd2d9+fpABQDFGWM6Pd9ghzhq4ruui6UKIUTfSDAvhOiRJ68WctTFlj2+a5MS7SkdW+bzi8twf/wBDRNHA5AZMwjEWgnHgwAUdNPNfs0aCIchOxvy8/dEiYUQYnjZsNXGtXfnM2lMhKOPDXR5fVcmv4vbHbz/y5vQvF5MtysdxQRgVWJ9ed1iYcLM/Xc5n/rANgCKM8d2er7WoX6PAuQ+shBiV0kwL4ToUVOkBWwjgL0tmC/F1VhPY64aO5kZi2PTHdw460EiZhCX1d1l+zvugPffh4cfhu9+d48VWwghho3igjjf+2YzbqeJ2eF50zSpCKzHqrkwTStaf7vK61paA/nmuhqqN60HYMw+++H0ZOxyXvX+zi3zkTBc9Q3Inwh/+xcUyZp0QojdMCRuBt57772MHj0ap9PJvHnzWLRoUa/p7777biZNmoTL5aK8vJwrr7ySUCi0h0orxPCxsToGpmqmtu/Cur97UrKbvabr5BUU426spzFXLQPkjRnYLQ7mFR7NmWMv7Hb7vDwoL1e/hRBCpN/U8RHuv6mWE37kp8JlJVmrtMVa+P7Co/nuJwcRM6N9zs/R0kzOxnVgs6W1nGuXLmx/PGn/A3crr2Q3+6KM0QA01MD6FfDpfDjMASfvVu5CiOFu0Fvmn376aa666iruv/9+5s2bx913383xxx/PmjVrKCws7JL+iSee4Oqrr+aRRx7hoIMOYu3atVxwwQVomsadd945CEcgxFfXG2+Mholqnt2h3jLfUKNa5nPyCrDpOs6Wpk7BfJLewz3MW24Bl0sF9EIIIQZGs65z4hzV4+uVDyvQTWiNNgPg0F3YdHuf8xr33hsc+Nc/svGYk3j3j/enrYwdJ7+bNPuAXc4nFPPTFmkEUi3z2Xlw44OqNc2igaWX7YUQYmcGvWX+zjvv5Hvf+x4XXnghU6dO5f7778ftdvPII490m37BggUcfPDBnHPOOYwePZrjjjuOs88+e6et+UKI/otZW8GjWklsQziYj4RDtPlaAMgtKMbZ0oRuGDQkmtkzY3GqA9t4t/IlPmv4pMd80jQJshBCiB40W1T46ooZWBN97X1RNeldpi2nX3mN+uhdAGpnzE5fAYF1iZZ53WJh3H67nndDYry8x56Nx66WtnN5YN7R8LXvQHr7EwghhqNBDeYjkQhLly7lmGOOaX9O13WOOeYYPv744263Oeigg1i6dGl78L5x40bmz5/PSSed1ON+wuEwPp+v048QYuemHvMGFFYDQ7ubfVN9bfvj3IIiXE0NANQVqTmCM2MGXzYv4bblV/C3VTf3mI/MZi/EwJL6eHj75wuZTD1nFAAZHXpMJYP5DGvf13J3NjdRvOJTALYcdULaytja2EDlxnUAjJqyL063Z5fzqvNvBaDIM6rLa9fa4Tagf3P3CyFEZ4Pazb6+vp54PE5RUVGn54uKili9enW325xzzjnU19dzyCGHYJomsViMH/zgB/zqV7/qcT+33HILN954Y1rLLsRw0BRpgZYteHDgjMUHuzg96hjM5+QX0jhmAv968nU2zZwDqGDeastmRu6BTM7er9s8Lr0UrFZ45BEo7X7lOiHEbpL6eHgLhnXCLnXX1BPfvWC+fOH/0A2D+olTaStL3/iotZ+menpOnD1vt/JKtswXdViWbs3n0BiDlxNP/WG39iCEGO72unao9957j5tvvpn77ruPZcuW8Z///IdXX32Vm266qcdtrrnmGlpaWtp/Kioq9mCJhdh7NUV88OihfOOZ31EcCA92cXrUWFfT/jinoAh0nVBOHqfV+/nelgbGB8LsX3AEt839Fz/b79Zu8/jgA3jjDRjCHRCE2OtJfTy8nXOKj/vvVr29MmKp+exbYyqY99j6HsyPTnSx33LMiWksIaxdkhqKtbvBfHLyu5IOy9I9eS/cmOggVgjseru/EEIMcst8fn4+FouFmpqaTs/X1NRQXFzc7TbXXXcd5557LhdffDEA++67L36/n+9///v8+te/Ru+mn6zD4cDhcKT/AIT4ipu76V4aPnwI9+wqGDl0W+Y7BfP5qYkzp/ijuPwx8qKpsuta13OEaaoJ8DRNZrMXYiBJfTy8ZXhM7F712NOpm32zes7St2De5m+j7FM1rn3z0WkO5peplnlN05iw366vLw+pYL64Q8t8XiHkTYQGYEwP2wkhRF8Nasu83W5n9uzZvP322+3PGYbB22+/zYEHdr8USCAQ6BKwWxKTqZim2d0mQohd9OWqbN58t5im6qEd4e44Zn7Cf19m3v13UPzZYiw7nBc0us5yp2lw6qlw/vlqRnshhBADo1nv2s2+NdHN3mP19imPEUsWYIlGaR45huaxE9JWtoCvhW1rV6p9TJyK29v3ngLdqe+mm/2PfgdfT3QQG9vdRkII0Q+DvjTdVVddxfnnn8+cOXOYO3cud999N36/nwsvVGtBn3feeZSVlXHLLbcAcOqpp3LnnXcyc+ZM5s2bx/r167nuuus49dRT24N6IUR6fOc0H1MmtxLNbR7sovSqqUPLfG5BEeXP/pMxH75N66Qp+GeolpX7Vv6G96pe5vJ9b+D8ST/pNh+ZAE8IIQbOgmVOXi/wwNE7tswng/m+Bc9bDjqS13//F6wOe1qXIVn32eL2hqFJu9nFHsBuceKwuDu1zANUJ6axH7/bexBCDHeDHsyfddZZ1NXVcf3111NdXc1+++3H66+/3j4p3tatWzu1xF977bVomsa1117L9u3bKSgo4NRTT+X3v//9YB2CEF9ZT3r/xN9u+iPOaDH3vPPZYBenR031Kpi3WK1kZufiaqyntqCAe047GVd+Bt+o9uGLNuGLNmGaXQfFBwKwfj2MHg1z5uzhwgshxDAx/30P/52cDOZTvabaJ8Dr45h5w2Zj+wGHQl5uWsu3NrEkHcCENATz1xz2PBm2DLKc2Z2er0q0PY3b7T0IIYa7QQ/mAS6//HIuv/zybl977733Ov1ttVq54YYbuOGGG/ZAyYQYvkzT5OGtrwJ/BIb2EJbGOtXNPievEF3XcTc1sHr0aJ44cDb54RjfqPYRjAUA8Ngyu2y/YQN84xswYgTIfFxCCDEw9p0UZvS0CJuxd2qZb02Mme/PbPY40z/3QsdgfuLMuWnJ02qxoSV6D6xcCvf+BqrfBQqkm70QYvcNiWBeCDH0GKbBWYU/5gnAHhu6wXw4FMLf2gIkJr8zTVyN9TRO3weAzMSSeqG4Cubd1owueZimWo5OlqQTQoiBc9ZJbexvC/PBYidah/lMWqKNAGRYs3eax4T/vkzOlg1s/NrXqZ8xO21lCwX8bFn1BQClYyeQmZueuWIsHSZdrdwKG1YDiQ4FEswLIXaXjBAVQnTLoltY+9YF6o9A+sYkpluyiz2oZelswQC2cIjGXHW1lJlo/QnE2oDug/np0+Hdd9WPEEKIgTMmEmVOU4jicGqVkdZ+jJkf9+7r7Pvvf1Gw+su0lmvDZ0sx4qpME2cfsNv5Ldn+Cje+eyJPLk8tnTzrELjiX4AFHEDJbu9FCDHcScu8EKJHyR7pttjQXXx9x8nvXI31APiyswFwJhaO761lPimN8ygJIYTohmmCscPJ9q9z/0t1qIoce2EPWyl6NErRys8BqErDmPaO1i7r0MU+DXnX+bdS0fIlE/Jmtj+XWwDTSuBwE5yatKgJIXafBPNCiG75om1855Iv+Zg5ZDmig12cHjV2WJYuJ78Qd1MDAG25+QDYEj05g/Gex8wnyWz2QggxcH54QyHPvZHB985t4fCvB9qfL3WPJsOWjy/q73X7/HUrsYbDBLNzaB43Ma1lW7v0k/bHE2ft/nj5eSNOp8w7mXG5Uzs9Pxr4mwYjd3sPQgghwbwQogfv1nzCZQ3vwsRnscX3npb56n32419PvcHnU9RSQHZDRfPBXrrZv/UWPP88nHIK/KT7VeuEEELspiafTv3vrbw21cMMW4jsaKpuiXez0siOSpYvA6B61ry0dqWKhEJsWqFa/AvLR5NdWLzbeea6S8n3jKA0s6z9uYVvgzcbcnPA1nMnMSGE6DMJ5oUQ3WqOtILNDYDdGLrBfGOHYD4nvxB0nVB2Lv7E5EU2w8Q0zVTLfDfB/IYNKqAvK+vykhBCiDS54+o6/n1wJp/pTqILVTBe4V/PW9X/JttezP55J/S6fXEymN//wLSWa9OKz4hFI0B6utgn6Tt0pP/jz6G1GV5ZDjP3TdtuhBDDmATzQohuNUVaYO35AJi993wcVE0du9kXFLU/jlrVQr52wyRqRDBMNbFRd93sDz8csrPhwPReHwohhOggr9ggpqsg3p3o8bXJv5qnt9zLJO+sXoN5LRZLjZefk96Tdccu9hPS0MUe4MMtT+OwODlq7LfIcuYTj8G4KVCdB66RasFXmaZFCLG7JJgXQnSrKeqDplkAaKFBLkwvki3zVpuNzKwcprz0DFnbtzL/d7+F4izspkkg3tae3mXxdMlj8mT1MzG9QzCFEEJ04OswMYkrroZAFTvL+dqIC/BYe18KLqO2iqjLRdxupynN4+XXLEkF85PSMJM9wL+/vJXWSAMzig8ly5mPxQq3/gu+OQqO1uFzYHpa9iSEGM4kmBdCdKs54oPAnxn58IkcNC5nsIvTo+TSdNl5Bei6zshP/seIZZ+QcdUVZMTiuOMGoZjqYu+wuLDolm7zkZnshRBiYP37Yw+MA1fUaO+APtE7g4neGVSH6oj1MqSrtbScJ594HRextM5WGo2E2bB8KQB5JSPILyvf7TzjRoy2SCMA2a5Uj7FWHXyJossa80KIdJBgXgjRraaID3Jv4HT7NmaEv4c5BDsEhoIBAm2tgJr8DsCdWJru7C83cLi3jLJwjE1xNU6gu/HyABUVEI9DURF4vXug4EIIMQzdPz8bvgO2oNnltb5MgIeuESwakdYybf7yc6LhMACT5qSnVb4t0oiJiYZGliO//fnqxFV3ASDz3wkh0kGCeSFEt5oiPgAyrRlDMpCHHcbL56v1iV2JpekC+QXtpc5zFHHVtNvIdHQfqf/+9/Duu/Dgg3DxxQNaZCGEGLamzo6wHCfuWCqYbwhXAzoxI4ZF6+Gy1EykdzjSXqaOXewnpqmLvS+s6qFMRx4WXR3Ta0/BU7XAXdIqL4RIH1lVWQjRraZICzSNJtZcylCdzL7jsnQ5BUVosRiuliYAgongHsBrz+G4Ed/g9NHndZuPy6UmwMvKGtDiCiHEsPatbyV6Ulnj7c/dvfpqvv3RHBbUvdrjdvlrV3LO2Sdw8J2/S3uZOo2X3z9dwXwdANnOVD1UsQFqbOqxBPNCiHSRlnkhRLeaQgFYs4nbIvDLcauYMASntG+s77DGfH4RrmY1RtGwWAll53Q5wWk9DIy/6y5wOmHkyIEqqRBCiOQEeO5Y6g5xa1TdgM2w9nw3tWT5MlzNjbhaGtNanlg0wobPlwCQW1xKfunuj5cH8IXVcK9sZ2q8/NfOg4oiWAyMS8tehBBCWuaFED1oDAbhezG4DzYVdZ0BfijYsWU+OV4+mJvHX8cU8ON9Svkg101NcDuL695jg29Vj3mlcT4lIYQQ3UgG88mZ7AF8iWDe00swX/xFcn35g9Jans1fLicSUsu1TJw9r8cbvv3lC6m6KKfD5HfF5WCMUo8lmBdCpItcvgohutVCDUx7AwC3Ht9J6sHRccx8bn5Rarx8XgF+i47PZsFAY1HdO1y39Lvcv7LnLpoSzAshxMC6464c7J8bZFalWuZ9O2mZ1+Jxild8CkBVmiaoS+rUxT6Na9cnu9nnuIo7PZ+cAE+62Qsh0kW62QshugjHIwTjIbC5AbAP0UHzjZ1a5gupGDeRfz31BlaXk6iuWlhspkmG1ct47zRGZozvNp9f/AJsNvjLX6C4uNskQgghdpP/IZ3IbTqnPdYGYyFuxvHH1GSrPbXM525chz3gJ5yRSePEqWktz9ql6Z/8DlLd7HMTwbxpwn/nQ9Wl6nUJ5oUQ6SLBvBCii+bETPbtwXx8aAbzyZZ5q81OZlYOaBqh7FwoKCCa6C5pN0wOLj2NI0tPY1T2qG7zmT8folG44449VnQhhBh23nxkG3VNFtpK1fm5LdqCiepy31Mwn79eDY+qnzod02JJW1li0SjrP1Pj5XMKiyks775+2BU7jplv88FdLwGXwygDyqQnmBAiTSSYF0J0kefI5pMDP+DY6H60MnSD+WTLfE5+YeexjhadmJZqmU/Sta5XUKYJv/qVepyXN3BlFUKI4W765AiNrTqLA2qJuWQXe5clA6ve/SVp3oY1ADRM2TetZdmy6gvCwQCgWuXTNV4eUsF8csx8OAj7tYH/ZPjbqwzRxV6FEHsjCeaFEF1YdSsZ0XJa4+qCayh2sw8F/AT9bUBqjflpz/2TjLoa1n3rPKKTVfdGu6GCea2HyydNg3POUYG8Z2jO8yeEEF8JPl3Hr2mYqIC2NbbzmexbykZSPW0/amfMSmtZOnaxn5TmsfippelUMJ9fDLf+C0YVwOS07kkIMdxJRx8hRLcKcuNk5MeAodky39hx8rsCdcE05sN32efFp8mo2p5qmTdM/vzlr7ng/cN5cdPjPeaXxkYZIYQQOzBNmGcrZ+Sscbyd4wJSLfOZtuwet/vyjHN49Z5/sOWoE9Jano6T301MYzBvmiYZ9hw8tqxOs9kD5EoTmhAizeS0IoToYnHDcv5T8Sbx2XcD1iEZzHdali7RMu9KLE0XyC/sNAFefaiaquBWIka4Sz7hMGzfDvE45ObugYILIcQwFIlqrG5zwCiwq9Xg8EWbgd6XpQPAmt7L1XgsxrpPFwOQlV9A0cgxactb0zRuPOpNvPZMvM5sALZboSwGWekb8i+EEIC0zAshurGo4QtuXfU3QonJhoZiN/umHVvmTbN9abpgXkF7y7zdMAnG1LhIjy2zSz7r18OJJ8Ixx+yBQgshxDBlGOAuUnWJF7XcaWv7GvPebrdx+JqxBgNgtaW1LFtXf0k44AfUknTpHC+fpCfmAKixwkXl8LUw/POptO9GCDHMSTAvhOhi3+yJXDr6YjRUMG+LmzvZYs/rvCxdEfa2VqzRCADB/IJOE+CF4uqizWPN6JJPLAZeL2TtpGFICCHErnM5TTKKVTCfpak6xdcezHd/Ap7x9GOcd+YRzHzknrSWZc2Sj9sfT5w9L615J+mJOujdxFwske0QaR2QXQkhhjEJ5oUQXRxWuD8nhn6DYbUwfmorGdHYYBepi47BfG5+UXurfDjTS9zh5JSaFs6oaiYjZhCIqWDe3U0wP2MGLF6sfoQQQgwcn64uO92JoVs7C+bzNqxBM038JWVpLUen8fJpXF8e4LOq/3LjOyfwz8+uB+C9RLVzoQNOOimtuxJCCBkzL4ToXiSqfts0c0guo9NU37ll3r1pHQCBvAIATqltJTNm4DJMQnHVzb67YD5Jl1ubQggxYCJAaIdg/jtjruT44m8RNrupZUyTvPVrAWiYvE/ayhGLRlm7bCGgxsuXjBmftrwB6vxbqfCtZHTOPmy0wWY72Ez42VgYXZrWXQkhhATzQoiutgWqmXOwwfJPPmVNQx4tpHe8YjokJ8Cz2R1keLNwJya/C+YXtKdJXh4Gk93suxkznyTBvBBCDJwvq+0wUT12x1Q3+zxHEV5bHjWhhi7pM2qrcbT5MCxWmsZNTFs5tqz6osN4+YPSPl5+TtkplGSOZ1TWeN5N3D8+zA95MvmdEGIASDAvhOji3I9/znu1i7hz5tWMdJw62MXpVnJpupz8QjRNY8MRx7Nt9oFYPO72NJqplgkKxXpumf/gA5g/H44/Hi65ZM+UXQghhpvaWOKS02/SMa416H6C1bwNawBoGjsew+5IWzlWL1rQ/njy3IPSlm9SjquYXFcJJd4R3Jyockregk80OO20tO9OCDHMSVuUEKKLpogPCqdx69E/57ezpw52cboI+NsIJVpWkmvMo+uEs7IJlI0gpGsszHazONtF2Ai1Xyx2F8yvXg3PPw8LFnR5SQghRJpklaoZ7LO0VPD+1OZ7+M/WB2mLtXRJn5sI5hsmpa+LPcDqxR+1P54yAME8gEWzsNkOdVZwRuHxb8EPfjAguxJCDHPSMi+E6KIp4oO2M6n15BIORAa7OF3UV29vf5xbWJx6QddA02i2WnhwVB7umMGsyi3tL7utni55zZsHP/sZHHbYgBZZCCGGtahHtR9lJ4J50zT51+Y/ETXCTM06mIwdJsHLX78agIap+6avDJEw6z9bAkBeyQjyy0amLe+kj7Y+i1WzkJt9PpBNsR9KZkFx8U43FUKIfpNgXgjRRXPUB23TAIj6hl4HntrKbe2PC0vLAZj5+IM4WltYfe7FVExTZbebJsHE5Hcuiwdd63osM2aon4npG5IphBBiBxMjEZ6oqqKiVXWyN8w4J5d+m4ZwHRnW7C7pNx1yNKHsXGpm7p+2Mmxc/inRcBiASfsPzPryL6z6I03BKs7e51Qgm1IbPPoYjBqV9l0JIYQE80KIzuJGHF+0DUo2A+C1RQe3QN2oraxof1xYOgKAse//l+yKzWw55Yz2Neathtk++V13rfJJA3A9J4QQogOzGmxLTTJtBkwDi27lBxN/gy/ahi/q75J+/bGnsP60b4K354lL+2v1ooHtYm+aJq1hNZlf3JkDQH5iZVeLTIAnhBgAEswLITppjvrUg9JNAOR6hl4wX1fVtWXelZjNPpBfSDTRAG83TIKJNeZdPSxLV1+vgvmRI8GRvjmWhBBCdPDpSgff+EkpkyZF+NODqaVF42b3E+ABYE3vZerqxanJUSbtn/5gPhBtIWaooWnf9rs4azOUxlQdk+ZDEUIIQCbAE0LsoCmignl7olXBFu/lQmuQdOpmXzICSyiEw98GqGA+2TJvM00KXWVcMvlaLph4Zbd5XXcdHHQQ/OMfA19uIYQYrrIyDQ6dE2D8RBXshuIBGsI1ROLhLmmzN28gZ9P6tHaDDwcDbPziMwCKRo0lt6gkbXkn+cLqprLL5sVhcZJpwu+vVLPY//e/ad+dEEJIMC+E6KwpomYVdlrzAbDFhmIwr7rZZ3izcGdktq8xH3M4iWZkEk1cANoNkwJnCWeM/i7fGHdxt3mZplpj3tNzL3whhBC7qe0QnRNeC3Dcraq31ML6t/j2R/tzy5dd1wSd+eTDnPnDs9n3yYfTtv/1ny4hHlM9zSbvf2Da8u0oGcxnOwsB0E1Ytw5WrQJj6FWlQoivAOn0I4TopDnSCkB0w+kAVK93DmJpuoqEQzQl1phPdrF3d+hij6YR01Mt80ndTX4HcP/9qnt9eflAlloIIYa3Vzwe/pKTw7fDPiY1RGiJNgHgsXq7pM1dn1iWbvK0tO1/VYcl6SYPQBd7AF+4DoCcRDBvAe64A5qaYP/0zeMnhBDtJJgXQnTSFFUt85pDBfHWIdYyX19d2f64oKQM6DxeHmhvmbcZJnXBSupC1WiWGKO9E7rN02JRrfNCCCEGhi9xknUnhm61JoL5HWeytwYDZCV6XzVMTt8a86sXdRwvPzAt88nJ77JdRfy0BCwm3AkclwF5eQOySyHEMCeXr0KITpJj5gtmfQbAuFFtg1iarmq7mfyuvWW+QAXzHVvm36l6kasWfp37V/6+xzwlkBdCiIG1qs4OwLK31UyjvmTLvK1zy3zuxnVopok/v5BQbn5a9h1o9bFl1RcAlE2YjDdN+e7IF0p2sy9hlQOWu8COTH4nhBg4cnoRQnSSDOZLG9ZxSNUWsnxDazb7jpPfFZSoZelWnnYWG446AT0nG6DTmHmXxUOJaySFrrJu8/vd78Bmg5tvhqKigS27EEIMV82aWpvNX6XDePBFmwHwWLI6pcvbuBZIb6v82mULMROD1ifPGZhWeUh1s8/wjsZIzN33v/9AaAYce+yA7VYIMYxJMC+E6KQ5EcxPqlrOVZlrWNSSO8gl6qyumzXm0TTCWdlQoKLxQxvb2L85QHEoRvao8/jaqPMYkzOm2/yefRZCITWrvRBCiIHhKlDB9FH7B4CO3ew7B/PexDm+eWz3w6J2Rccu9pPnHpy2fHeUnADPljUSAFcIfv1zOOAACeaFEANDgnkhRCdXTb6Qr5cfz1MvFPOnt0somxdk5LjgYBerXXfd7AGwpPrKW03IiBtkJsZmavS8vNFll6lZhmU8oxBCDJyQU52jx5VEoaljN/vug3nfyNFp23dyfXlN15k0e17a8t1RMpi3ZKieYN4QzDxIJr8TQgwcCeaFEJ0UOvPIs2fzk/cKWLAon4uLNw6tYD7Rzd7hcpOZlQPAvPvvQDdNvvj+j2grG9meNhnC9zSTPcD3vw+5uZCZOWBFFkKIYa99ArzYjhPgdQ7mvzztW9TsO5uamXPTs9/GeratXQXAqMnTcHuzdrLFbuwrEcyToeZvGWGHRx+F8eMHbJdCiGFOgnkhRBcGBlPOa8V+cpzMsqEzZj4Wi9FYWwWoLvZaYmz8+Ldfw9nawupzO68lrwF/WvFr1vu+4Oczb+Pw0pO6zVcmwBNCiIHVnJhzuWWLDrngizUDXYP5ylnzqDzocMhOT9CdbJUHmDxv4LrYA3js2YRifuIuNTwtNw6aJnWMEGLgSDAvhOjkb+ufpi7UyOJv/5Ll2UVM/qwNaga7VEpjbTXxeByAwhLVxd4SCeNsVcvp+RNj5t/Mz2BZlpuTa31s829gnW8FgZi/S37RKLS0gMezhw5ACCGGoTgQtKqI9sNXXez7bT/+mJqfxbPD0nQAWC1p2/fqhan15afsP7DB/HVHvEqmPZMX3NkA5MdlJnshxMCSe4VCiE7uWfs4135xNz5MAOzxobPOfG2Hye8KSpNrzKt1fWN2O5FE98kah411GQ7q7FYCcRXEu60ZXfJbvx4OPhhmzx7okgshxPDl13W8vjhawKQkI0ZrolVeQ8NjTY1xyqiuZNSC9/B2WLVkd61apIJ5q83O+JkDP3hd1yw0J+5FvPsknHIKLF8+4LsVQgxTuxXMh8PhdJVDCDFEfH3k8Xx71KkYVicANmPoBPN1HSe/K+m8xnwwt0D1ZwSiiTOb3TAJJVrkPd0E86GQ+i0t80IIMXC8hkFL9QaqKzfyf2e00RJtBMBtzUTXUq3wI5Ys4Jjf/py5f7ktLfut315B3batAIydPguHy5WWfHtj0XVaEofUuBpWrgSnc8B3K4QYpvrV+ee1117jqaee4n//+x8VFRUYhoHH42HmzJkcd9xxXHjhhZSWlg5UWYUQe8D10y7HF20jrzELMqB2vZ0pQ2R1uo5rzCeXpXMlgvlAQWH7a7FEUG8zTYJxtQySx9Z1hruZM2HVKsjPH7AiCyGESIirDl8dJr/L7vR6cib71jTNZJ9slQeYMsDj5b+oeZfnvryFWSVHMyf3HrLjcPjXYdRBMGrUgO5aCDGM9SmYf/755/nlL39Ja2srJ510Er/85S8pLS3F5XLR2NjIihUreOutt7jpppu44IILuOmmmygoKBjosgshBohhGhhOFRA7zaHTMl/bzRrzyZb5QH4qmI8mgnm7YRKM9dzNHtTERNIyL4QQAy+e+D0+c1/+POdlGiPNnV5Pdq/3jRyTlv2t6jhefgDXlwdoDGxnu281I7wTuKwVXCYUF0HBNHA4BnTXQohhrE/B/O23385dd93FiSeeiN7NlJzf/OY3Adi+fTt/+ctfePzxx7nyyivTW1IhxICLG3Fqww3EDQNXbhw/VkaUBCEy2CVTkt3srTY72XkqeHcnxswHE5PfAcR0FcxbDYNQomW+p2AeZKZhIYQYaL++K483F7s54Qw/Bx8GE70zqAk1EDVi7WmSLfMtaWiZN02zfSZ7h9vD6H1m7HaevZlRfAz5npGM8I4GwJLohSAT4AkhBlKfLmE//vhjTj755G4D+Y7Kysq49dZb+x3I33vvvYwePRqn08m8efNYtGhRr+mbm5u57LLLKCkpweFwMHHiRObPn9+vfQohuqoJ1VP6wqGMeulIwsk1gbX4TrbaMwzDoLZqOwAFJWXt56Ol5/+Ax599k2U/vKo9bbJlXotFMBMT+XXXzX7hQvj97+Hppwe69EIIMXw9l5HBH27LZfHPXDQ3pa4lTTr0/DIMMhPneF8agvnKDWvxNdQBMGn2PKw2227n2ZtsVzH7FB7G1IKDAFj0Pvz731BVNaC7FUIMc/2+XxgKhXD2MJNHVVUVJSUl/crv6aef5qqrruL+++9n3rx53H333Rx//PGsWbOGwsLCLukjkQjHHnsshYWFPPfcc5SVlbFlyxays7P7eyhCiB34Ym0AZDiy8CWC5aEym31zQx2xqOoiUFgyIvWCphHOzoWc1MD+5Jh5Mx5USdBwWrpOfPTFF/CPf4BhwHnnDWDhhRBiGGvWdaJejX3nhpilhVjc8C6b29ZQ7JrImIx9APDU12KNRohbrfiLdn/+pVULP2x/PHnuIbudX1/omk5A1/jCCS8shs/uB7cbJk7cI7sXQgxD/e5cOmvWLD777LMuz//73/9m+vTp/S7AnXfeyfe+9z0uvPBCpk6dyv3334/b7eaRRx7pNv0jjzxCY2MjL7zwAgcffDCjR4/m8MMPZ8aMge0+JcRw4IsmZn53pgJjo+vy7IOi8+R35Z1f1DuvSRxNdLM3oyqYd1k96FrX092MGXDJJXDyyWkurBBCiHYtFnWOHp0Xo6Q0zoe1r/Hwhpv5svmT9jTtk9+VlmOmoW/6npz8DmDp9vn8b/NTfB6r4jfFsP5mOOAAmDt3wHcthBjG+h3MH3HEERxwwAHcdptaNsTv93PBBRdw7rnn8qtf/apfeUUiEZYuXcoxxxyTKpCuc8wxx/Dxxx93u81LL73EgQceyGWXXUZRURHTpk3j5ptvJh7vuStwOBzG5/N1+hFCdNUSaQXA7UhMYGmAGdIGsUQpndaYLylrf3zoH3/DgX+5BWdiIjyAaKLIRqz38fL77w9XXQVnnTUABRZCdCH18fCU7OnlSSx1OjVrNkcWncFIz6T2NE2jx/P2r25h2SVX7Pb+4rEYa5cuBCAzJ4+y8ZN2ssXue2P9Azz66c9YF9wCwEgXvPgiHHjggO9aCDGM9fvW53333cfJJ5/MxRdfzCuvvEJVVRUZGRksWrSIadOm9Suv+vp64vE4RUVFnZ4vKipi9erV3W6zceNG3nnnHb797W8zf/581q9fz6WXXko0GuWGG27odptbbrmFG2+8sV9lE2I4Snaz90ainHrpdhoMO44Th0Y3+05rzCda5rVYjIlvvQrApz++uv31fVtDjAhFcQTU8kdua8/T1Wta+/L0QogBJvXx8JQM5n2VOq0+neNLz+Ko4v+jJtTQniaUncPmw46BboZY9tfmlcsJtqmb05PnHrTTOZ/SoS2i6pu4Ow+AvLjMYi+EGHi7dHY78cQTOfPMM/noo4/YunUrt912W78D+V1lGAaFhYX87W9/Y/bs2Zx11ln8+te/5v777+9xm2uuuYaWlpb2n4qKih7TCjGc+aIqmM+yW/jjd1fw63NW43AOjWC+u272riZ1IWhYrISyc9pf/3pVCz/e1EBWSzXQc8t8WxtEImCaA1VqIURHUh8PT8lgfv7jGaxeaQfA+H/27js8qjJ74Ph3ZjKZ9F4JgRBI6E2aiAUFpSiIYkUpiroqYEERUAER2090F1DEFUFsK+qKZS2ggigi0otAgFBCEkhI72Xq7487M2TITAokk0jO53nyMMy8984Ju87cc9/3PQcn3y1qlfJzgdzZks7GlswbvAMBCDFKMi+EaHz1TuaPHTvGwIED+fbbb1m3bh1PPfUUo0eP5qmnnsJgMNTrXGFhYWg0Gs6cOePw/JkzZ4iKinJ6THR0NImJiWg0Z/fIdu7cmczMTPR65/2zdDodAQEBDj9CiOpsy+z9rDPZFprPlLVtZl6t1hASoXw+2HvMh4Y57S8X5d2Gu9o/wk1xk5yec9Ys6NYN3nmncWIWQjiS7+OWyZbMh2hN+PiayddnU2mqcBjT4advid26GW1pyQW/3yE375c3mY2UGQoBqNApN4+/XymdUoQQja/eyXyvXr1o164de/fu5dprr+WFF17gl19+Yc2aNfSvZ5UPT09P+vTpw/r16+3Pmc1m1q9fz0AXm4wGDRrE0aNHMZvP3tE9cuQI0dHReHp61vfXEUJUYa9m7+ED4GzepElYLBayrMl8aGQ0HtbiSLZkvjys+rJMFRDrF8/4hMcYl/Cw0/OWKVvq8XW9Cl8IIcQFsiXzj/8jjy7dKrl78wBu29SNvErrZI7ZzKA3X+G6OY861D85H/qKCo7u3QlAWKtYwlu3vaDz1YUtkQco81Q6PhnSIDy80d9aCNHC1TuZf+utt1i9erVDK7jLLruM3bt3c8kll9Q7gOnTp7N8+XLef/99kpKSeOihhygtLeWee+4BYMKECcyePds+/qGHHiIvL49HH32UI0eO8N133/HSSy8xZcqUer+3EMKRrZp9tvZKOmVdx617mkflnuLCfCrKlNiqtqWzz8yfk8yf9NaSrvPAaF1YoHKxKX75cjhwAG65pRGCFkIIAVQpgGcyU2YqwWQxKn/3UJak++Tl4FFZiVnjQUnV1qPn4di+nRj1lYCyX94dbEvsfbVBFHoov+vs++CKK9zy9kKIFqzeBfDGjx/v9Hl/f39WrFhR7wBuv/12srOzmTt3LpmZmfTq1Yu1a9fai+KlpqY6FC6JjY1l3bp1PP744/To0YOYmBgeffRRZs6cWe/3FkI4KjQoy+wNftFYRqow/KmCwloOcoOqlewjWp290PO2JfPhZ4toWoAFicoy/Lf+2ImmPBd/Lx/CvB0LbQJoNEoPYC+vRgpcCCGEPZn3MVkoNiiJr1atQ6dRPnwDTlnb0kXHXHBbusPbz3ZD6tTPXcl8HgD+uhAKrLtA+8SCv79b3l4I0YJdeCPPBjB16lSmTp3q9LWNGzdWe27gwIH8+eef1QcLIS6IvQBehNLqMTGuBPY2ZUSKlCMH7Y9btY23P/bOVy6gysPPzswbq0zC/5T6MV8e/hfjEx/h2T6LnZ5bKtkLIUTjerSggNd/DOadr4IYfUM5AP7WWXk422O+KPbCl8RX7S/fqZ97VpeV6AsACNCFkmVN5ls1iytsIcTFrvF7dQgh/jZsybzWS9kz7+thbMpw7I4e3Gd/3L5LD/vjP6bN4sMvNnBg3L3254xVsnOdGQK0wQR6nq10X9XixfDaa5Cd3QhBCyGEAOCBwkIyH9awa40XBeXKlik/7dnP5YAMazLfpt0FvU9FWSkpB5Q70FFx7QmKcF5MuaGVWpfZ+3uFU2j9Cio55pa3FkK0cHLfUAhhV2hN5tWeSkU4T3PTl8CzWCwcsybzOm8fYuLan31RpUIfFAIBZ2d4DFXaGk1sP417OzxK2yDnsz2rVilF8KZNk0JFQgjRmBa/lEVKoZZCvwzIBj+HmXmlwGlxm7gLeo+ju7djMio3oTu6aVYeoNi2zN4zmPaD4Wg25MwH3NO1WQjRgkkyL4Swe6ff85wsPc0nZmUpe35603eIyMs+Q35OFgDxHbui0ZzzsaVxXGBkm5n3MCuN9dQq1wuQ7roLTCYIDW3QkIUQQpxj9IhSjpVpeW+/8nnu62SZfeEFzswf2v6H/XFnN+2Xh7Mz80G6MHqNhPS/YGD9GjwJIcR5kWReCGHXLSiRON8Y3i5RLrJOJXlBWNPGdMzFEnuVycQ1L86iPDySbbPmY/RWtgYYrMm8p9lS67mffBJCQiAwsNahQgghzkOxSsV//f3RWCx0LtNTZC2A5+cRYB/z2xPzCMo8RU7Xnhf0Xoe2nU3mO/Z138y8bc98oFc4w2+HjvdDnNwkFkK4wXntmb/++uvJyMio9lgI8fdnxoLGX0mEI4Irmzgax/3yHbqcvdDzKsgn7o+NdPzf55g8dfbnjdZl9h4WC4v3P82TW+9gV/bZC7xzqaVyiBBCNJp0rZZ7o6KYFhJBUpInRXqlRYpPlZn5vPYdOT5sFBUh558BlxUVcvLQfgBiEjrhfwHnqi+tWoe/ZyhBXkoxVj/pkCKEcJPzuoz97bffKC8vr/ZYCPH3ZbaYWZj0LiuO/RfvED0A3boUNXFUcCxJSeZVKhXxnc5uQLT1mK8IDsWi0difN1i3zHuaLRwu3Mue3D8oNRZXO6/ZDHp9IwYuhBDC3pau6JSGiXdEU1ihfK9UXWYPgFpz7qH1cmTXVizWOi+d3DgrD3BXzwW8ecMBSmPu5/FQWCnJvBDCTWROSggBQImxjKf2LGT67pcpt15UaU1NWwCvsqKctGNHAKUlnY/f2aa9tmS+LMyxcp1tmb3WYqHcVKaM9fCrdu4TJ6B7d0hMbJTQhRBCcDaZ15ZbCA83UmxWPrttBfAiDu6j61efEH74rwt6n0NN0F++KrVKxf92QFIA/JTs9rcXQrRQsmdeCAEoVePHx91Inr6AThVl5BbmEFlW0aQxnTh8ELNZ6XnfvnMPh9e8bcl8eKTD87Zl9lqzhWKj0gLJ18Ofc9kWFHnJDIoQQjQaWzLfO76CxT9mM2GDUvndlszHbt1Er09XcTA3m+ze51817rA1mVepVCT2HXCBUdefWqWm0rrYoENAzWOFEKKhSDIvhAAg0NOfDwa+ypnyHJb/28S+NwNRX2ah92OFTRbT0YN77Y+rFr8D8MlTmsOXhzkm823L9MxOPkOo3sSz1pl5X231mfkuXWDHDqUAnhBCiMZhS+b9zGYsFijQ5yp/t/aZ9888DUBxrPMWonVRnJ9H2pGDAMR26opvQNAFRFw/FouF5zeOxN8zmA7j17MDT3pE1n6cEEI0BEnmhRAOzJgpLdNQVKRFX9m0O3GOORS/OzeZVy4IyyIcr5p8zBbal+kJrTBQUcMye7Ua/P0hIqKhoxZCCGFjS+Z9LRYsFpjfYyUZFaeI9IpTnre2Hi2NjD7v9ziy80/74879Bp1/sOeh3FBEWuEBADpqlcvq6Avb/i+EEHUmybwQAgC9SY8ZCyazmbGjTzHw8lySK6onwe5iNps5lqTsofQLDCKiVazD67oSpYhSWZjzbLzSmsiD82TeRqrZCyFE4ym0fsju/EXHS++GMO3JLoR7t6VQXwKAb/YZAEqjWp33ezi0pOvn3uJ3Wo0Xj1/2EViMfKJRfle5RyyEcBe5jBVCAPD1qfV4f9aD2/94jOJQD7wSTPhHGpssnsz0k5RZE/YOnXugsha2s/ll1ot8uGYjx0bc6PT4Cut+eTVqvDTe1V4/cACWLIEvvmjgwIUQQtjZZuZPJ2nZ/qdSpMRsVtqfqkwmfHOVmfmSC0nmdyjJvFqjIfGS8993fz60Gh1dI66kYOMdZFm/MmWVvRDCXc5rZr5t27Zotdpqj4UQf19FBmWWxFuj476EPhz39uOp7YdIzCtpkniqLrE/d788ACoV+pAQ8HesNJTkp2NrkA9tdUoy7+3hV+1GAMD+/bB0KaSmwt13N2zsQgghFLZkfsilpXR94DSfnVyJnzaMHkFX4VWQj9pkwqxWUx4aXsuZnCvMySLj+FEA4rr2xMu3aVaU7d3jgdl631hm5oUQ7nJeyfz+/fudPhZC/H0VWpN5Pw9fCo3KDbqs454kBjVNPI775Xs6H6Sp/hF2ykvL76F+lBqUCvY+Hr5OD23fHu68Ey5zfwcjIYRoMWzJ/KVdKwgo2czM7a8Q59uJHkFX4ZujLLEvC4vA4nF+Oz+P7Nxqf9yx76UXHnA9nSo6zLG8XSTcfgO76IKnGfxk3asQwk1kz7wQAjg7M+/r4UOJWfloOL7Dj8uH5jVJPEeTlGRe4+FB24RODq8FnTxOv5VvkNOlB7sfneXwmq3PvNqoB1wn8337Kj/t2zd05EIIIWz+k5nJ0qws0j082OYZxtCosfh4KG1ECtrG882/VuKhPf/L0eTd2+2PEy9xf0u6g1mb+HT/8/TsUwC8RJQaqq8FE0KIxiHJvBACgEJDMQC+Ht5YrL3Xo8Obps98SVEBmWkpALTt0AlPnWMz+KDUE7TZ+ju6slJ2n3Osrc88pkoAfJz0mK/KyQp8IYQQDUQNmIpUpGV5EKi/hCe79CSzIhuj2YzRy5vszt0hNPS8z5+8axug9Jdv37NPA0Vdd6X6AgCCVF5cXwltdW4PQQjRgslCICEEcHZm3s/DB6On8tHQr19+k8Riq2IP0L5z9f3y9r7EMW2qvWabmVcZlRsRvi4q2ZvNyp9SzV4IIRrXhi3ejBrRmuefVZJ2s8XiOMDj/Hq5lRUVkp6cBEDrxC74nFNDxR2K9XlQHojur2impMDrbo9ACNGSycy8EAI4u2fe2zMAszUh9rRlvG72+7pv7I87dK2+X94/8xQAxbFtq71mS+aD1L6MaTuJTsHdnb7HvHnw5Zfwwgvw1FMNEbUQQghn1B4QGmrCx7+SSlOlPZlvv+EHdMVFpA8fRVHbdvU+77F9u7BYz5XQu1+DxlxXpfp8SLuMH//vflL+A0n7aj+mriwWC2azGXMTfRcLIRRqtRq1Wu20oHJTk2ReCAGcnZnX6gLtz3ma3H8BcSrlKLv/2AhAYEgYPfoPqjbGP8OazDuZmTdaZ9ojtWGM7zyX1gGtnb5PeTkYDHCeNZeEEELUwWWxsZgmwBcjTjH728nc+OvPTIqfw+URo+n07RdEHdzL+nbx55XM25bYQ9Ml8yX6fDBFEBBRSrt43wZb8mo0GikoKECv1zfQGYUQF8LT05OgoCA8mtmFY52j+fnnnxk6dKjL181mMy+99BLPPvtsgwQmhHAvWzKvsyXzRgu7fw2i35XuXWr/3epV9sfDbhmP1rP6BkT/M7Zl9rHVXrPNzGutszWu7qI+9xzMnAldu15gwEIIIZyyANu8vDCpVKiBAr1SUNVWy8TPVs0+Mvq8zp+8u0oy7+b+8jal+gK4TsXVC1J4sV3DfKFYLBays7NRq9UEBwej0Wia5YygEC2BxWLBZDJRVFREdnY2UVFRzeq/xzon8yNHjuSBBx7g1VdfxcfHx+G1/fv3M3HiRDIzMyWZF+JvylYAT6uzFowrU2HUu/fDKjP9JNt/+wkA/8Bgrhp5U7UxKpMJP1sy39rJnnlrATyzoYycikwi/MLxUFffN+/nByEhEBTUgL+AEEIIu2K1GpP1ojfQbKZQnwuAv0cwKpMJn9xsAEqiWtX73IbKCk7s3wtAeGxbgsIjGyjq+inR50GfWXyd0JX2NMyeeaPRiMViITg4GE9PzwY4oxDiQmk0GnJycjAajWi12qYOx67Oq4E2bdrE+vXr6dmzJ5s3bwaU2fgXXniBPn360LFjR+k5L8TfmG1m3kOrJPP+WgPd+hW5NYbvP12Fxbo38Nqbx6Hz8q42xqswH5OnDpOHB2URUdVeN1ovHPdm/crdGy9j6f75Lt+vGd1YFUKIi06etcKo1mjhmUfCyP5duUHrrw3CuyAPtcmEWaOhPCyi3uc+cWAvRoOyBD2hd9PMygMUG4ogYSQAYxr43M1p9k+Ilq65/vdY55n5AQMGsHv3bmbNmsXVV1/NAw88wJ9//klaWhqffPIJN998c2PGKYRoZLYCePFGIyuO7CDb4ol/oNFt75+TeZo/1/8AgI+fP1ffcIvTceUhYXz4xS94qlVYNNUrIIfqjcSW69GVF6BWafBxUc3+s8+gshLuvx/aVJ/gF0IIcYHyrZ/RXqVmvv2fH/TsBX3ATxuMT046AGWh4U4/y2tztEp/+abaL19pLMcYcwn4hOJRZKF1oQqq7/4SQohGU68d/F5eXvzrX/8iKyuLt956C19fX3bs2EHHjh0bKz4hhBuYzCZKjWUARKg86VSUS6rZm5P41HJkw/nh8w8wm00ADLnxDrx9nSfhAKhU6EOCnb50W0YhHqcKifIZiXr4DcQGOr+yeu89OH4chg6VZF4IIRqDbWY+RGVm0sw03kj/BDUafDT++GUr++VLz3O//JFdVZL5Jtsvnw8JYwAwfq3Cy3VpKSGEaBT1Krp57NgxrrzySjZs2MDbb79Nt27dGDx4MF9//XVjxSeEcJMfB6/kvQEv4a/148cNEfz4fQSF+e6p2Jmfk8XmH5V2dDpvH4aMub32g9SuY7MthFKr1KhVzj/mrr0Wxo6FmJj6RiuEEKIubDPzEVojQ289CAnr8NcGoVap8c05/2TebDJxbO8OAPxDwohsU/9K+A2hRJ8HHa8H4A4fiGyabfvN2uDBg3nssceaOgwhLlp1TubffPNNevbsSUREBH/99RcPPPAAmzdv5rHHHuOOO+5g/PjxFBQUNGKoQojGolFruDZ6ENe3uhqt2oPXlyaycH4nsk55Ner7WiwW9mz5lVdnPIDRYADg6lG34Ocf6PKYPqveYuhz04ne8YfLMSpqrmQPMH06vPkmdOhwnsELIYSoUZ41mQ80m8mrsBa/0wYBkDzker5Z9B577n+k3udNTz5EeYlStDXxkn5Ntpc1zcMI4Z3AZGDhtaBuqL50LdjGjRtRqVSNllOoVCq8vLw4efKkw/Njxoxh0qRJDs9lZmYybdo04uPj0el0xMbGMmrUKNavX98osQlxPur8sTN37lz+/e9/88UXXxAeHq4crFYzc+ZMduzYQVJSEl2lx5MQf2tmi5k9voFol5hp83wpvgGNt2f+zKlUFs99jDfnP0m2tW+8r38g1940rsbjovbtou2fm9AVFjh9vVKlwgS8c+gl5u64j32525yOAymAJ4QQjSnfmt3qyi0kpxihIgB/D2WLlN4/gOwu3cnv2KXe53VoSdeExe+OhimrCvxP7yWkebWeBsBshpQU+Osv5U9rfdkWT6VSMXfu3BrHpKSk0KdPHzZs2MDChQv566+/WLt2LVdffTVTpkxxU6RC1K7OHz0HDhwgOtr5UqiuXbuydetWXnrppQYLTAjhPqfKzvD96V/x1ug43nEkyTf6c+kVubTaXnHB587LPsOmtV9xeN8uKspKqawoR19ZQVF+LiaTyT6uY48+3DV1JoHBoTWezz9TSfxLnPSYB1iQGEmml5aYZAOnUtYxsdL1rI/MogghROOxzcwf36Hlu7vvgSvT8bt109kB5/khnLy76ffLA5yJ6QbAmKzeFGnBx31lZmqVlARffgmHDkFFBXh5QadOcNNN0Llz47xnaWkpDz30EGvWrMHf358nn3yy2pgPP/yQxYsXc/jwYXx9fbnmmmtYtGgRERERpKSkcPXVVwMQHKzc9Jk4cSKrVq1i7dq1vPDCC+zfvx+NRsPAgQNZvHgx7du3r3ecU6dO5Z///CczZsygW7duTsc8/PDDqFQqtm3bhq+vr/35rl27cu+999b7PYVoLHVO5l0l8jYajYY5c+ZccEBCCPfbV3CIB7bPoXtgIjd0GQWAp9lUy1Gumc1mDu3Zzi/f/pe9f26yF7ZzJjgsgtseeIy+VwytdamkprIC37wcAIpat3U6xtaaTq9X2up5e/hWG1NeDgMGKBde6enN6wJMCCEuFv0rKphcWMjRYx4k68DoUYG/RxAAvT5+F0NAIMm3340+IKjO57RYLPaZeZ2PL60TGikzrUWJRs1RXx0AH47V0G4izHfdCdWtkpJgyRLIyYHYWPD1hdJS2L0b0tLgkUcaJ6GfMWMGv/76K19//TURERE8/fTT7Nq1i169etnHGAwGFixYQMeOHcnKymL69OlMmjSJ77//ntjYWL744gvGjh3L4cOHCQgIwNtbaVFbWlrK9OnT6dGjByUlJcydO5ebbrqJPXv2oLbeFBo8eDBxcXGsWrWqxjgHDRrEkSNHmDVrFt9++2211/Py8li7di0vvviiQyJvExQUdN7/RkI0tGa4KEgI4W7BnoGMjrmGcF0IFdaCcZ5my3mdS19ZweI5j3F4385qr2k0Gjy9vNF5eePt60efy69hxG0TnfaTd8bvTIbyHr5+6AOc76s3qJVk3mhL5jXOk/nKSuXHq3HLAgghRIs1tqSEMSUlHBupZW7wM3ya/Am+HvejMpno/fG7qM0mTtx4C/qAup8zO/0khdlZAHTo2QeNR9NcyhpVcFVuCQfSvdDoPWjfvnns2zKblRn5nBzo0uXsdrKAAOXvBw/CV19Bx44NuzqtpKSEFStW8NFHHzFkyBAA3n//fVq3bu0wruqsdnx8PEuWLKFfv36UlJTg5+dHSEgIABEREQ5J89ixYx3Os3LlSsLDwzl48KB9dr1Nmza1Tj7avPzyy/To0YNNmzZxxRVXOLx29OhRLBYLnTp1qtsvL0QTqtMnoFqtPq/iIvPmzat1T4oQouldGtaLr69cRkpJOq+qlWWRW74PYYRXBoHB9ds3v/bzDx0S+cDgUK4ceRNXDL+RkPCoC4rTP/M0AMUxsS43vBusT1cabDPz1afdAwNhwwbw9pal9kII0Zhs67LyKvIApQCed34uarMJs0ZDeWh4vc7XXJbYBxnNeP04i8jcnTz6+dNMGDS6yWKpKjVVWVof6+RrUqWC1q2VmfvUVIiLa7j3PXbsGHq9ngEDBtifCwkJqda+eufOnTz33HPs3buX/Px8zNaN/KmpqXTp4rp+QnJyMnPnzmXr1q3k5OQ4HGdL5j/44IM6x9ulSxcmTJjArFmz2Lx5s8NrFsv5TWYI0RTqlMyfOHHivE4uy1CE+HsxY6FcpSTzpWe0qOPqd3xO5ml++Ox9QJmFv/fJ+fS5YggeDTRzYtsvX9zK+X55AKN1Zl5fWQA4X2av0Sgt6aSNkBBCNC6TNaN8rNcMrggeh04TjO9xpS1dWVgEFuu++ro68dce++P2Pfs0WJzn41TBAf7K20qxIa9J46iquFjZI+9kdTigPH/qlDLO3UpLSxk2bBjDhg3j448/Jjw8nNTUVIYNG4Zer6/x2FGjRtG2bVuWL19Oq1atMJvNdOvWrdbjajJ//nwSExP56quvHJ5PSEhApVJx6NCh8z63EO5Spyvstm2d700VQlwczBYzapUas8VMqfXCavDgLLxz6rdv/rPlizDoKwG45sbbGXD1sAaN06OyEr23D8Wxzj+TLIDBeuFoNChXKs6SeRupZi+EEI3nF+t+5x/e8+H4/v70u7KI0IQMfHMOAufXY/74/t2AUpE8rkuPhgu2HiyACpjQ4TEKY2/nijZXNUkczvj7K9vHSkuVpfXnKi1VXvf3b9j3bd++PVqtlq1bt9KmTRsA8vPzOXLkCFddpfz7HDp0iNzcXF555RViY5Wb8jt27HA4j6enJ4BDgdzc3FwOHz7M8uXL7Uvif//99wuOOTY2lqlTp/L00087FNILCQlh2LBhLF26lEceeaTavvmCggKZsBTNRp0XmGZlZdX4utFoZNs21y2ghBDN1+O7XkL3aTfePPIRWZ7KJvKOocV4eNR9qdnBXVvZtfkXAAKCQxh91/0NHudft47nw69+Y8cjM52+bgIstgzdqFTi99ZUX2Z/+jSsWqXsKxRCCNE4xrRqxTWxsfxyxIcvPvfnVLpys9g3W5mZL42oXzKvr6jgVLIyWxodn4C3XwNnpHWQ4q1lQUIkf/l54ZfTly+ensxbL7ZzexyutGmjVK1PS4NzV4tbLErR186dlXENyc/Pj8mTJzNjxgw2bNjA/v37mTRpkr04nRJbGzw9PXnjjTc4fvw433zzDQsWLHA4T9u2bVGpVHz77bdkZ2dTUlJCcHAwoaGhvPPOOxw9epQNGzYwffr0ajFMmDCB2bNn1yvu2bNnc/r0aX7++WeH55cuXYrJZKJ///588cUXJCcnk5SUxJIlSxg4cGC93kOIxlTnZD46Otohoe/evTtpaWn2v+fm5sr/uYX4myo0lKA3G/BQe5BhTeZDrDPsdWE0Gvnk7dftfx977zS8ff0aPE4ANBrMWk/ncairTLUbK1GhwktTvbje0aPw8svwr381TohCCNHSGYEi60qvUVcVMXDcWjKDvsZoNuBnS+ajW9XrnKmH9mMyKnVc2nXr1ZDh1tl3kQGk+niyN9Cb0+laDu73ZN++JgnFKbVaaT8XFqYUuyssBKNR+fPgQeX5MWMap17MwoULueKKKxg1ahRDhw7l8ssvp0+fs1shwsPDWbVqFZ9//jldunThlVde4bXXXnM4R0xMDPPnz2fWrFlERkYydepU1Go1q1evZufOnXTr1o3HH3+chQsXVnv/1NRUMjIy6hVzSEgIM2fOpKLCsRVvfHw8u3bt4uqrr+aJJ56gW7duXHvttaxfv55ly5bV6z2EaEx13sh6bjGIlJQUDAZDjWOEEH8PRYYSAPw8fMjQKsl8xmYv2rcpq9PxG775jIxUpbZGfKfuDBwysnECBfBwvb/SUHXdvKkSL42P0+KdoaFwww3K7IUQQoiGV1AlW7zm8jTmnR4BlTCELfjkKJND9V1mf7zKfvn47r0aIsx6OeWlZXegDyqLhdvSc9gV/A3jnu7OTZdcCdRv739j6txZaT9n6zN/6pSytP6SS5REvrH6zPv5+fHhhx/y4Ycf2p+bMWOGw5g777yTO++80+G5c/OHOXPmVGt3PXToUA4ePFjjcRs3bqw1Rme5yuzZs53O6EdHR/Pmm2/y5ptv1npeIZpKg/bzOJ+K90KIpmdL5r20/sQUl3OoUst/nm7L5R/VXtSnqCCP/330DqB8Box7+EmHZXUNRVdUwMinHqK4dRt+XrLS6bSCrce82mzGbDHj5eG85V3XrvD66w2/zFAIIYQi3zor72c2o7FYGB03lqySUjzUHmyZMoP9t42nNLF+WeUJ6355gHbdejdovHXxXYSyrH9gfhlBRVm8e/pRVJ4qVt1oqOVI9+vcWWk/l5qqFLvz91e+86SDixAXF+kzL4Sg0FosLljjxdt/7OaJ53tgiK/bzbltG9dRXlYKwOXDRhOX6Lq1zIXwzzhFSMpRdCVFLq9GvM1m7knNpbD4JGtw3mO+KrmoEUKIxpFnTeaDTCYojeCxDv8kraQQA5VUBIVQERUN9SwidmL/HgA8vbyI6dCx5sEN7IynB9uDlBosd50qoEifD0CAZxDaGlaMNSW1umHbzwkhmp86J/MqlYri4mK8vLywWCyoVCpKSkooKlJ6Odv+FEL8/VRdZh8dWsGi5XtIK/SmrLz2j4ikKj1/h9x4R6PFWJe2dF5mC4Pyy0jPOKQk8056zFclybwQQjSOfOsHbKDZzMS7o0k+4snTC48R391aj0VVvw/g4rxcck4ptZradu6OpoFantaFBVgTHYhFpaJvQRnty/T8ZSiAo9fiHRJIWRn41Px1I4QQjaJee+YTExMd/t67d2+Hv8syeyH+nooMysy6v1aZyTaq1NSlAobJZOTIX7uUY4NCiIlrX8sR588/8zQAxa1rXxsf4BnCtTFjifVzXmH43XeVn/vug1dfbdAwhRBCcHaZfaDZTIZJuT5Uacx4FeTT4/P3KW7TjqSJD9T5fLZZeYB23d27xH5NVCA7g3xQWyyMT1dm5Av1efDlh2SWRnJ4EvR2/6p/IYSoezL/yy+/NGYcQogmZFtmb9EFUqlSY0IFltpvzqUcSbIvse/cs2+j3tCzz8zXIZmP8+/EE90X0srfeaXkoiLIz4fKuhfsF0IIUQ951pn5AJOJPq/N4Y09i/jD+1YGnB5O9y8+piSyVb2S+eNVk/muPRs6XJc2hPrxQ6TSsP2R4zl0LNUDUFhRCKGH0elUtG0b4bZ4hBCiqjon81dddVWtY/Lyai+WJYRoXgxmA+UmpSXL8oTL+C4ijuBXKun4Ywn3zTxR47FJe84use/Uq1+jxumfoSTzJTGuk/kcrYbtQT60rjAwIrsEFc5vLkyapFSz7+m+60EhhGhRbDPzARYLBZX5oAJvD197JfuSqPpVsj/x19nid/Fumpkv1qj5IjoQgPFpeQzPKbG/VmLOg3uvYkyn8YSEfOCWeIQQ4lwNsmP0xx9/5LbbbiMmJqYhTieEcKNi6xJ7gFyd0hs+/6COjHSvWo89VCWZ79y7kZP5M7Uvs8/00vJFqyC+ifSnwliGxcVmgZAQpcpvrOvt90IIIS6ArQBeoMlEXkUuAH4ewfYe82URdU/mLRaLfZl9QGg4IdHuud70N5l58lg2Y08XMO50ocNrRfoCAMJ9w90SixBCOHPeyfzJkyeZN28ecXFx3HrrrajVaj74QO5MCvF3Y1ti763RkalTWrlNvu04E6adrPE4fWUFRw/uAyAsshXhUY13caUyGakIDMak1VIQF+9ynK3PfEnZGcb83I25210v4ZTid0II0Xjm5uZy4MQJxhcVseujcbD2n2jLo/G1zcxHO98G5cyZ1BOUFSuFltt16+m2Gk0qC/QrLOf+tPxq67yKDMpq1AjfMLfEIoQQztSrFKher2fNmjW8++67bN68maFDh5Kens7u3bvp3r17Y8UohGhEtuJ3fh5+ZGqV2fhBCbl4+FrQ611nvEcP7MVoUPYONvYSe4vGg/8teg+1lw5zDa2MDNZwVSYlLh+tn9Nxv/wCeXlwyy2QkNDQ0QohhAgym/EzmzkOZG68GYw6dHe/h69tZj6y7jPzVZfYu7O/vI/JjJfZ+QqvI2uHwp9PcqhSD1e7LSQhhHBQ52R+2rRpfPLJJyQkJHD33Xfz6aefEhoailarRaNpnv01hRC1s7Wl8/FvRbb1v+UwQyX5Fs8aj6u6X75zIyfzNmbfmvvG22bmW3vF8O+hf9EmsK3TcR99BL//Dq1bSzIvhBCNxWT9TPYevJiyCiOhAfH2mfnS+iTz+/faH8d379WgMTpTqVZxwtuT1hUGgo16p2MKT0fAqUsxFh1s9Hj+zgYPHkyvXr1YtGhRU4cixEWpzgtNly1bxj/+8Q9+/PFHpkyZQmhoaGPGJYRwk04B8Xw+aDETez4CQGClnt0bg0k5UnPT3EN7d5w9R6++jRqjymQCFaDV1jjOaL1w1Fos+Hj44efp73Rcr14wdCi0dZ7rCyGEaABmlP3uhiufhaHPEBboh09eNgClEVF1Ps/xKjPzcV16NHSY1WTqPHitQwTPJUa6HON12XK4fQzDRxc3ejznzWKGkhQo+Ev502Ju6ohqtXHjRlQqFQUFBY36Pv/4xz/QaDR8/vnn1V577rnnUKlU1X46derUqDEJcT7qPDP/4YcfsnLlSqKjo7n++usZP348I0aMaMzYhBBuEO4Vwi1thlOoUfq0eeWYmTetK30uz+OhZ487PaaspJiU5CQAYuLaExjcuDf3brnvFgy+vvzy2tsU1tDL3qBWknlPswW1yvW9ymnTwNtbCuAJIURjuS06Gj1wX1YaBrMBAH9tEP97/V18SoooSKhbYmSorCDtsDL7HdWuAz4BgY0Vsl2xh7JKLcjoOvktD90O/rn06fl8o8dzXgqTIP1LKDwEpgrQeEFgJ2h9EwR2buromlRZWRmrV6/mqaeeYuXKldx6663VxnTt2pWff/7Z4TkPj3rtThbCLeo8M3/nnXfy008/8ddff9GpUyemTJlCVFQUZrOZgwdliZEQf3entMqy+qAyPYndiomMcd2E/fBfu7CYlYucxl5i75WfS0BGOiHHjlAWVnMvX9vMfGbREV7b9yTbs35zOVYK4AkhROP5n68vX/v7k1tRCOWB6EwhaFVelIVHktO9F0bvmld/2aQdScJkVG4GuKu/fJGH8gURZDA5fd1isaBVe6JReRDq3QxXqhYmweElkLcbdGHg31H5M2+38nxhUqO8bWlpKRMmTMDPz4/o6Ghef/31amM+/PBD+vbti7+/P1FRUYwbN46sLGXrRUpKCldfrRQgCA4ORqVSMWnSJADWrl3L5ZdfTlBQEKGhodxwww0cO3bsvOL8/PPP6dKlC7NmzeK3334jLS2t2hgPDw+ioqIcfsLCpNihaH7qfTnbrl075s+fT0pKCh999BFjx47l7rvvpnXr1jzyyCPnFcTSpUuJi4vDy8uLAQMGsG3btjodt3r1alQqFWPGjDmv9xVCwN78Q3yW+j37KQegc3AxS/6zh9smp7s8Jmm3+/rLhx9RbhYWtI3H4Od82byNbc98flk66059TnrJCZdj3VQMWQghWpxylYoK6x3TgoxC+L8CKhfknh1Qw8qpcx1vgv7yRdaZ+WAXybxKpWKG/07+HZ+DP3Wvyu8WFrMyI1+ZAwFdQBsAao3yZ0AX5fn0rxplyf2MGTP49ddf+frrr/nxxx/ZuHEju3btchhjMBhYsGABe/fu5auvviIlJcWesMfGxvLFF18AcPjwYTIyMli8eDGg3CiYPn06O3bsYP369ajVam666SbM5rO/x+DBg+3nqsmKFSu4++67CQwMZMSIEaxatapBfn8hmsJ5rxdRqVQMGzaMYcOGkZeXxwcffMB7771X7/N8+umnTJ8+nbfffpsBAwawaNEihg0bxuHDh4mIcD0Ll5KSwpNPPskVV1xxvr+CEAL4LPUHXjr4NnHxGwGl+B3gokO74tAe5YabWq2hY/dLGjW+MGsyn1OHGRmj9frQbFBuTHh5OJ/5GTkSjEZYvx7au161L4QQ4jzkWxN5jcVCSYHSwg2NgZCUo3T4+Tvyu/Xk6E231+lcJ60tUEFpS+cOxbXMzAO8+lw4udke9N4JlzTu12D9lKYqS+t9YqvftVapwLu1MjNfmgp+cQ32tiUlJaxYsYKPPvqIIUOGAPD+++/TunVrh3H33nuv/XF8fDxLliyhX79+lJSU4OfnR0hICAAREREEVeleM3bsWIfzrFy5kvDwcA4ePEi3bt0AaNOmDdHRNRdWTE5O5s8//2TNmjUA3H333UyfPp1nn33WoeXhX3/9hZ+fY0ecu+++m7fffrsu/xxCuE2DLDQNCQnhscceY+/evbUPPsc///lP7r//fu655x66dOnC22+/jY+PDytXrnR5jMlk4q677mL+/PnEx7vuOS2EqF2sTxRXhvdj2LHN/N/xffQvVi68LNW66ioKcnM4narMeMcldsHb13n7t4Zim5nPrsOMjArwNJsxW9vt+Xg4r36fng4nT4JsfxNCiIaXb+2MEmg2Y/FPhWc96fl/Iwg9eogeX3xEh7Vf1flcJ5P2A6Dx8CCmjvvsL1RtM/MAMbEG2sWbsOaezYex2LpH3kX3Fw9f5XVjwxbuO3bsGHq9ngEDBtifCwkJoWPHjg7jdu7cyahRo2jTpg3+/v5cddVVAKSmptZ4/uTkZO68807i4+MJCAggLi6u2nEffPABL7/8co3nWblyJcOGDbMvmR85ciSFhYVs2LDBYVzHjh3Zs2ePw8/zzzfT+giiRatTMv/KK69QXl5epxNu3bqV7777rk5j9Xo9O3fuZOjQoWcDUqsZOnQoW7ZscXnc888/T0REBJMnT67T+1RWVlJUVOTwI4RQPJhwJ78M+YDpwX0YVnCGXSuDeXx8T9Z/E+50/KG9VZfYN24VeywW+8x8dh1m5sdkFvHWX6fw//UlALxdJPOffQbffQdRdS+mLIRoAPJ93DLYZuYDTSYKKvPAw0CQvxc+eTkAlIW5rhJflb6igswUZV90q/hEtJ66xgn4HLXtmd+fvx3zxKu45tXHseaUzYeHv1LszlTq/HVjqfK6R83b1hpDaWkpw4YNIyAggI8//pjt27fz5ZdfAkpOUJNRo0aRl5fH8uXL2bp1K1u3bq3TcVWZTCbef/99vvvuOzw8PPDw8MDHx4e8vLxqk4ienp506NDB4aemFcNCNJU6zUsdPHiQNm3acOuttzJq1Cj69u1LeLhyoW80Gjl48CC///47H330EadPn+aDDz6o05vn5ORgMpmIjHT8UI+MjOTQoUNOj/n9999ZsWIFe/bsqdN7ALz88svMnz+/zuOFaGnM1r1zJlRkpHmRtDeAdp2cXwgcq7LksXPPxk3m/c6cxruwAJOHB3kd61Z9V22BClMZAN4uZiY6dYKQENC557pQCGEl38ctQ16Vmfkb299Et9DuZBRa8Mn7HoCyiLol8+nJhzCblIQ6tlPXxgnWCXs1exfJ/JnyU+zP306QT+OuTDsvvm2UqvV5u5U98lWX2lssUJ4OIZco4xpQ+/bt0Wq1bN26lTZtlHPn5+dz5MgR++z7oUOHyM3N5ZVXXiHW2k5mx44dDufx9FSK8ZpMZ//tc3NzOXz4MMuXL7dvr/3999/rHeP3339PcXExu3fvRmP9/yjA/v37ueeeeygoKHBY2i/E30GdkvkPPviAvXv38uabbzJu3DiKiorQaDTodDrKypSL5t69e3PfffcxadIkvLy8GiXY4uJixo8fz/Lly+tVUXL27NlMnz7d/veioiL7h4gQAkzWZN6gUjNibCY9+xeg8XK+az4jLcX+OLZ9YqPGpTYaOXbVdahVYK7HjEyFSVlJ5O1izzxINXshmoJ8H7cMVZfZm/Jj+P2DzpR7FHJ73ocAlNfSmcQm7fB+++M2bk3mlS8IV8vsuwf34+meb9CjTTu3xVRnKrXSfq40DYoOKnvkPXyVGfnydKWqfesx9SpCWBd+fn5MnjyZGTNmEBoaSkREBM888wzqKl+2bdq0wdPTkzfeeIMHH3yQ/fv3s2DBAofztG3bFpVKxbfffsvIkSPx9vYmODiY0NBQ3nnnHaKjo0lNTWXWrFnVYpgwYQIxMTEul9qvWLGC66+/np49HVf6denShccff5yPP/6YKVOmAMpkZWZmpsM4lUpVbQJSiKZW5x2jPXv2ZPny5fz73/9m7969pKamUl5eTlhYGL169Tqvdg1hYWFoNBrOnDnj8PyZM2eIcrL+9dixY6SkpDBq1Cj7c7Yqlh4eHhw+fJj2TqpZ6XQ6dDIFJ4RTl/10B4e1nvQZ9ha91T5c45FNm/ZlnM70djrelsz7BwbjFxDUqLEVtW7LxtkvQj0+X1RApT2Zrz4zX1IC69ZBq1YwcWJDRSqEqAv5Pm4Z8qwJXIDZTGamByuWBxHZyovXg23L7OuWzKceOmB/7K5k3sLZPfNBRufJfEVmHF++1JejnT25/VO3hFU/gZ2h4yNn+8yXn1KW1odcoiTyjdRnfuHChZSUlDBq1Cj8/f154oknKCwstL8eHh7OqlWrePrpp1myZAmXXHIJr732GqNHj7aPiYmJYf78+cyaNYt77rmHCRMmsGrVKlavXs0jjzxCt27d6NixI0uWLGHw4MEO75+amupw86CqM2fO8N133/Gf//yn2mu2yvgrVqywJ/MHDhyoVkxPp9NRUVFxvv88QjQKlcViqalodaMbMGAA/fv354033gCU5LxNmzZMnTq12l23iooKjh496vDcs88+S3FxMYsXLyYxMdG+PKcmRUVFBAYGUlhYSEBAQMP9MkeONNy5hHCT+G+GcKLNALjtv3QtLeT14/swGFWcyaq+wqastIRHxio9YBO69Wbma+80foBqNUQ4379/rvdigznsqyPnm7vg4OdsuTmbEJ3jjYCjR+H665Vl9rm5Lk4kRAvVaN+P7n6/48eVlhWiScwNDWVBaCh3FRUR/dUn/P51D8L9Q/jox6EEZKTz7crPOXPJgFrP8+Ldozmxfw8Ab/x+AO9a2pM2BAuQp9VgVKnoVVSBxsmYvTu9mDklmo4dwcWu0AtiMBjIzs4mPDwcrVZ7/ieymJWq9cZiZY+8b5sGn5EXoqVosP8u66iu3491npk3mUy89tprfPPNN+j1eoYMGcK8efPw9nY+e1dX06dPZ+LEifTt25f+/fuzaNEiSktLueeeewDHJTNeXl729hM2tr0t5z4vhKibAkMxBCrLXMMNlezdFojJrMI/1IC3r2Mf2sz0k/bH0bFtGzUulclEwOk0Ctsn1PmYAg8NOToteCg3Inyc7Jn39ISrrqL5VSAWQoiLRAe9npElJXTU6/l31gJO9TjFc72X47267gXwTEYj6clJAETExrklkQdldVeowUSgwew0kQcoCv6d22b5M6RrH6BuN5ubhErdoO3nhBDNT52T+ZdeeonnnnuOoUOH4u3tzeLFi8nKyqqxhVxd3H777WRnZzN37lwyMzPp1asXa9eute9JqWnJjBDiwpgtZgoNxRCgJPNhBj3/mpdA5ilvZv8rifadHYvgZVbZLx/VOq5RYwtMS2Hsg3dQGh7J6h+3Ve+X64RBbR1jrECFCp2m+uqCNm3gnXeUZfZCCCEa3oTiYu4uLuaoVsuh1leTVpxGsGcE/333v/iUl1IaXfsHcGbKMQyVlYB798vbaGpYuPp97mJ2e21mWKcPgPHuC0oIIc5R52T+gw8+4K233uIf//gHAD///DPXX38977777gUn21OnTmXq1KlOX9u4cWONx65ateqC3luIlqzEWKZUsrcn85W0aluBxsOCf2D1JaoOyXxsXKPGFn5E2StZ1LpNnRJ5AKNtnKkSL40PqhqOq+MphRBCnAfbbvNn+z5Pgb6Yo5kVlIWrKfP3A23tWyJTD7t/v3xVNV3ZFhkKAAjzDXVLLEII4Uqds/DU1FRGjhxp//vQoUNRqVScPn26UQITQjS+fL1SmEYVqLSRCTdU8tLb+1m8eg8RrSqrja9ayb6xl9mHW/vL53TrVedjqs7M11TJHqSavRBCNCaT9Y7p2u99uaxrD155sqPygsbV4nVHjsXv3LeVcmegN0viwlgX7rrtXP6pYEi5AlNhtMsxQgjhDnW+nDUajdVazmm1WgwGQ4MHJYRwjwJ9MeCYzAOYzc6nrW175j20noRGNO5FTNhhJZnPrkcyb5uZ7+rfg4GRQ52OWbcOrrsOHn30gkMUQgjhRJKnJykeHhQbKyip0APgVV5M/+WLiPtlbZ3OkVYlmXdnj/l0Ly37Ar056e169UDhllth1W98/3Gc2+ISQghn6rzM3mKxMGnSJIeWMhUVFTz44IP4+p4tMrVmzZqGjVAI0WgKDEWg1mL2U2pU1JTMm0xGsk6nARAZ0wZ1HWdXzodGX0nIiWQAsrv1rGX0WQZrMn9fh8e5yhLodExeHpw8CVlZFx6nEEKI6q5q3ZpsDw+e3PoxrxXfQ+/XBrPwQB+6v/cxx4oLSRkxpsbjLRYLqYeUHvOB4REEhrqvyJytLZ2rHvN6cyUmXRaEHqZ9XKzb4hJCCGfqnMxPdNKQ+e67727QYIQQ7lWgLwL/VqBSozWbyT3gyfwFXYhqXcHdj6Q6jM3JPI3J2uopupH3y7fd/Asao5GSiChKWtX9YsloXWukNVtc1vK49lpITIROnRoiUiGEEFVZgDzrzd6K4nTwMBAYZCaiJB2A8vDaK9nnnk6nrLgIgDYd3dutqMhD+e5wlcwX6wvgqhdRX/UyT02X1alCiKZV52T+vffea8w4hBBNIF9f5NCWLj/Lk0P7Aqgorz7rnuFQ/K5x98t3/vYLAA7fPK5elepsM/Nakxm1xnkyHxam/LRvf+FxCiGEcFSiUtn3yxcXK6u5gr1C8cnJBqA0IqrWczRl8bsirfL9F+QimS8y5AMQqAtGLT3bhRBNTD6FhGjBCvRFgIrA7MN0KC+hQ5cS5i0+wC2T06uNzUyr2mM+rlHj+v3Rpzlw8ziO3HxHvY6z7Zl/8LdreGLLuBrHSgE8IYRoePnWWXlPi4W8klNw8nJSvhnP5hSlAF55WESt53AsfufeZL7YOjPvMpnXFyiv60LcFZIQQrgkl7NCtGAFhmJI3cT1381gbmoSwaEGBl6dR7e+hdXGurPHfGGbdvw5+3nK6jCDU9W1OcV0PbIFS1k2apzP6O/bB2vXwpEjDRGpEEKIqmxL7INMJnLKsuDklez+7AbWZ10KQFl4XZL5/fbHbp+Zt+6ZDzK6WGZvyIfPPyH33VUkJbkzsr8Hi8XCAw88QEhICCqViqCgIB577LGmDkuIi1adl9kLIS4+ysw8+Hv42JdFAlicFMDLSE+xP45s3aZxA/PQ1KkP8bnGZBbhWRmCeuAPxAY6j/Gzz+Dzz+GFF+CZZy40UCGEEFXlW5c9BZrNZJdnQ/Qu+t+wl6t+Wg9AWR1m5m2V7L39AgiLaeTvmyr0KhUVGtvMvNnpmCJDAaSMpag0Er3ebaH9baxdu5ZVq1axceNG4uPjUavVeHt721+Pi4vjsccekwRfiAYiybwQLdhdcaPoEtiBQM9ALMCJIz6UFHmg9oLAkLOFfSwWCxmpKQCEhEfi5V1zD/fz1fGHL4nes4P94+8nJyzsvM6h03gR6BVFhLfz1nlt2kC/ftCu3YVEKoQQwhn7zLzZzJHyLEhI5r4rxnLPtyuA2pfZF+flkp+VCUBsxy6o6lE35ULZlth7mC34mlwk8/p8GH0f/QJGExd3v9ti+7s4duwY0dHRXHbZZU0dihAtgiyzF6IF6xfagxEJt5MQ3AWA/65qzYx7e7JlveNewJLCAspKlFn8qMbaL2+x0PWr1bT/9UciqhQ/qi/bZZ+rwkQPPACffgrjat5SL4QQ4jzYZuZ9jQYK9cqWrWD/SD756Du+fvdz9P4BNR7flPvlbUvsA40mFxu1oNhQAB2/pe/wQwQ674DaYk2aNIlp06aRmpqKSqUiLi6OwYMH22fhBw8ezMmTJ3n88cdRqVRuvVEjxMVKZuaFaOH6tIsnR5PAsuRdBIUYaB1XRnCYY7udqkvso1o3TiX7qP27CT55HIOXN0dHja338ZUqFQf9vUjP2IT6yLfcGH8XA6OucTpWrh+EEKJx2GbmPQ1lyp9qT3w9Azkd5kNZYGCtH8Cph5tuv7ynxUKfgjKXbekATBYjHiotod7nt3rsfPXt25fMzEy3vidAVFQUO3bsqNPYxYsX0759e9555x22b9+ORqPh1ltvtb++Zs0aevbsyQMPPMD998uqBiEagiTzQrRg32ZuITsxEYBQo577nzzBpEdTOJPt5TDOsfhd4yTznazt6I4NvxF9QP2nO4q0apa2C0PdegTmn24mIbizy2ReKtkLIUTjsFWz96hUVnNpvlvO6AWXc+P404x4sLLW4x1n5t3bYz6mwsBDJ3OJqHSdzE9sO48rKl9hgL97k/nMzExOnTrl1vesr8DAQPz9/dFoNERFVS9gGxISgkajwd/f3+nrQoj6k2ReiBbsgcNvw5UT8TQZ8DMZATA7K35XJZlvjLZ0gWkpxG3eAEDSHRPP6xy2tnQqk7KqwNvD1+m4qVMhIwPefRcGDDivtxJCCOHCwwUFXFtayoaMHXwP6Aig3KAmdtsmYruWkjZkWI3Hpx1RSsR7eOqIimvvhoir01gsLl9LTdHyxIORxMRAevUuro2mqZJfSbqFaN4kmReiBYuN6k8GEKovt+8PNDlJ5qv2mG/oPfOxf/7G4FfnojEayejdj7zzXFZpsCfzysyPt8Z5kb7kZEhJQaoQCyFEI4g1GmllNPJrrtL/s9O45bza9he6f/Y+p7aNqTGZ11dUcObkcQBatU/AQ6t1S8znqnHxlgVi2xppG+veS+i6LnUXQrQskswL0YJN6zuL8UC00YTFAk9M6oHOy8yk6Sn4+p9dZphp3TOv8/YhKDS8QWMIPnkcz7JSMnv24ZeFy877PEa1NZk3WpN5FzPzr76qJPLd3Lt6UwghWgwTkFWeDUB4sBftKpIJopCj4ZE1Hnf6+BEsZqWKfOsOnRo7zGoyPT3QWCC80oTOxez8fyom0naWlvdueheIcW+AFwFPT09MJtfbGIQQ9SPJvBAtWJqH8hEQZqikvEzDwd3KXvX7tCfsYwz6SnIyTwMQ3bptg1Sf1ZaWYPD1A2DfuHuoiGnN0RtvxXweveXtcdriqiWZ79kTAgIgOPi830oIIUQNzCoV4zrexaVRA6kwG/HMeQuovcd8+pFD9setEzs3aozOfNw6mCR/L2YczWJIbmm11y0WC9tzNmK2mFBr3B7eRSEuLo7ffvuNO+64A51OR9h5tqEVQigkmReiBUu3LmEMNerx0JqZt/gAZzJ1eOrO9tc9cyoNi3WG4kKW2KtMRmK3babT92uIOLiPTz/8FkNICAQEcuSWuy7o9wAw2vcJVADg7eF8mT1INXshhGgsj4eHU6FScWeRjn5e4Xy0xsDyw6cYSyFl4TUn86eOVknmE9w/M19k7TMfZHTeY96MmVk9F2O0VBDp17Cr1FqK559/nn/84x+0b9+eyspK+/WFEOL8SDIvRAu1Jz+Jd1XHIWg4YYZKPD0tDLw6j/wCLaVlZz8aHCrZn0cyrzKZ6PjDl/Rc/R5+OVn256OPHSI1fuSF/AoODNZl9hZjOQDemuoz82YzrF8PYWFw883QRNsxhRDiovVeQACFGg03lpRgwsQP/41mT+7TtGcfutpm5pOT7I+bYma+2Npn3lVrOo1KQ/n229j6axD/ydYi3dWqe+yxx+x95QE2btzo8Pqll17K3r173RuUEBcxSeaFaKHyKgvQ+3UHlGX2NudWs7+QSvbhh/Zz2Zv/R5h1tqUiMIgjo2/j0K13U9ymfueqja2avcWozMz7OFlmX16uVLMHKC2VZF4IIRqSCSi0tqb79uD7BJkMdOt7G922/Y92nKhxz7zFYrFXsg8IDScgxL3Lr81AsXVmPrCGPvMnjnryx+9arhjkpsCEEKIGkswL0UIVGIohIBaAcEMlOWc8OZ3mjVprISjcYB9nK34H9esx75uVyQ3T70NtNlHp58+uh5/g0C13YfbUNdjvUJVtZt5sKAPAy8kye5MJevcGoxG8vBolDCGEaLEK1WfrwL+17XksJj1fjIzh5rcewKzxYH+Q62IlRbnZlOTnARDToWOjx3quUo0ai/WmcJCLZD6r/BQh/bbzQLtejL050Z3hCSGEU5LMC9FC5esL4fNb6Rh7Na0ih7JhUwRLnk+g92X5TJl7zD4u67TSSFelUhHRKrbO5y+NiOLwDTejMZnYPv0ZKhq4Cv65DKpzltk7mZkPCIDVqyE8HNQ19h4SQghRX3nWWXkfs4kb4m/mVOlpvGLas+77ryjNUdX4wdvUxe+KtErs/gYTrmrb/ZW/nZUl07m07dX067fBfcEJIYQLkswL0UIV6Ivh5K/EmzzxirgGT08zrePKCItwbMCecyYDgKDQcLSe9ag27+3NH88tdFvWPCC/jIS8XOb89AAAPk72zNtIIi+EEA0v15rMB5vMLBj4EjkV+RQbS6kIDyc/tOa2dA775Zu0+J3rJfbF+nwAgr1C3RKTEELURi5phWihCgxFAPholRZxQ0dn8e43O7njoTT7GH1lBcUFyrLHkIioWs8ZmpzEiFkPEZCZDoEBbs2adRYLPhVFUHoGFSp0Gtfr6KWavRBCNLwcazIfau0Vb8LMw7f25u4h/TiRVPPepvTkszPzsU0xM28tflfTfvkiQwFk9EJ1pidlZW4KTAghaiDJvBAtVIG+GDibzANYLMqPTV5Wpv1xWGR0jedTGwxc+frztNqzg96frmrQWOuje8il9Aq7DJWTjP2vv2DsWHjwwSYITAghLnK2ZN7fUEmJvhij2UjZGRMlRVrCD+6r8VhbMq/WaIhu16HRYz2Xrfidq/3yAEWGfPjsc76f9Sy7d7srMiGEcE2W2QvRQu2L7gLx/yLHeLak+7mV7G1L7AFCI2pO5nt+uoqQlKOUBwazdca8hg22jgK9Ivi//v8hwsd5FeS8PNi/X6rYCyFEY8i2JvO5+Ufos7ofN8SPYc2lIQSv3Uxu/o0copvT44wGAxnHkwGIbNsOrc79FUqLamlLB1CsLwDfbHwt0QQHu97KJYQQ7iLJvBAtVEpkF+hyI3lH1kMlvPliezLSvbhu7BnadykFIDerbsl88PFken2yAoA/Zz1PhZtbCgH8GuLLriBvrs0uYXyZ83X03brBv/8Nbdq4OTghhGgBbDPzlrIcAAI8A2lfdogIDvN7VIjL486cPI7RoNRraZ3g/iX2AENyiulZWE58ucHlmGJDAdx3Ga9c8wFduox3X3BCCOGCLLMXooUq9g4CIMTaY/7A7gB2bg6hovxsHd/cKsvsQ10ts7dYuOJfC1CbTKRcdS3Hh49utJhrku6t5YC/N2d0HqhwnsyHhsLgwXD11e6NTQghWoIIo5FLKiogT+mIEqwLQZeTC0BZeITL46rul2+qZD7QaCaxTE9shetkvshQAECotxTAE0I0D5LMC9FClfsqreIirbMh900/wdQ5R4mJK7ePyT1z2v7YVTIflpxEeHISBi9v/pjzcpNVlyvTKB9na5L+yfQ/bq9xrBTAE0KIhje9oICtqal47XoXgGBdKCtTx/BvHiDPz/XqrlNVk/lE91eyt1Fban69yFrNPtRHknlRs5SUFFQqFXv27GnqUMRFTpJ5IVoovZ/SJijKpFQd7nNZAddcn0VQ6NlZidwzZ2fmQ8KdV7Nvu/kXANIuH0x5mOuZl8ZWbk3mK8tOU2oscTrm5EnYvBmOHnVnZEII0XKYVCqyy7MA8DFEMr3kFR7k31SEhbs8xrEtXdPMzANoLDVn84VZAfDRd7y9oOluODR3mZmZTJs2jfj4eHQ6HbGxsYwaNYr169fbx8TFxbFo0aKmC7KZOHPmDJMmTaJVq1b4+PgwfPhwkpOTHcYMHjwYlUrl8PNglSq+eXl5jBo1Cj8/P3r37s3ucyozTpkyhddff90tv49oGrJnXogWqFylwmydWWhtPvu8yew4zrZn3j8wGJ2X84JE+26fRF6HjpR2SGyUWOuq3NoG7/64aYyOdP7R9u23sGQJ3H8/vPOOO6MTQoiWwWixkF2u7JkPLdFyDyvJJxhzTG+Xx9iW2Xv7BRAS1cotcVZlAf7dNpRAg4mHTubhd+6XIWAw66ks8oejI9lW6bpIXkuWkpLCoEGDCAoKYuHChXTv3h2DwcC6deuYMmUKhw4dqv0kbqTX6/H09GyS97ZYLIwZMwatVsvXX39NQEAA//znPxk6dCgHDx7E1/dsgcX777+f559/3v53Hx8f++MXX3yR4uJidu3axbJly7j//vvZsWMHAH/++Sdbt25lyZIl7vvFhNvJzLwQLVC6tUiR1lhJjIcflRVq9u0IJOXY2S8Io8FAQW42UMN+ecDg48uJYaPJ6t2vcYOuRZlGWTvfThtJu4COTscEBUHHjtC2rRsDE0KIFiJTo+GUoRCDWdm+1dFSwkom83HEQ1g0GqfHlBYVkJepbOlqndDRaVvRxlapVrEjyIf14f4uZ+eL9AUQlIJq9H3MndNEe7VKS13/VFTUfWx5ed3G1tPDDz+MSqVi27ZtjB07lsTERLp27cr06dP5888/L+AXB5VKxbvvvstNN92Ej48PCQkJfPPNNw5jfv31V/r3749OpyM6OppZs2ZhNBrtrw8ePJipU6fy2GOPERYWxrBhw9i4cSMqlYp169bRu3dvvL29ueaaa8jKyuKHH36gc+fOBAQEMG7cOMrKyuznWrt2LZdffjlBQUGEhoZyww03cOzYsTr/PsnJyfz5558sW7aMfv360bFjR5YtW0Z5eTmffPKJw1gfHx+ioqLsPwEBAfbXkpKSuOOOO0hMTOSBBx4gKUlZ5WIwGHjwwQd5++230bj4b09cHCSZF6IFSrf2ZmttsuDt4U3mKS+eurcH86d0tY/JzzmDxXpRU1tbOrx0jRZrXdmW2fuazC4vBu+6C775Bp55xp2RCSHExc8EtIqPp2PXfuATToBnIBXduvHLhi/5adl7Lo87lXzY/ripltjbesx7msx4m50n88WGfPDLIuDSLxl/dxNdPvv5uf4ZO9ZxbESE67EjRjiOjYtzPq4e8vLyWLt2LVOmTHGYVbYJCgpyeeykSZMYPHhwre8xf/58brvtNvbt28fIkSO56667yMvLA+DUqVOMHDmSfv36sXfvXpYtW8aKFSt44YUXHM7x/vvv4+npyebNm3n77bftzz/33HO8+eab/PHHH6SlpXHbbbexaNEi/vOf//Ddd9/x448/8sYbb9jHl5aWMn36dHbs2MH69etRq9XcdNNNmM3VV3U4U1mpFB/2qrLqUa1Wo9Pp+P333x3Gfvzxx4SFhdGtWzdmz57tcFOhZ8+ebNiwAaPRyLp16+jRowcAr776KoMHD6Zv3751ikf8fckyeyFaoHQP5T/9cKMye2IyQeu4MnTeZ7+EHCvZO98vf/WLs8lv14GDkx9G30RL1WxsBfB+PvYefkH9uTz6Oqfj1HILUwghGlyeRoPFdiO1PI9Q/7aYUaMPC6UgOMblcQ775Zuo+J3t+8PZ8nr7GGMpWpUnQZ4h8j3ixNGjR7FYLHTqVP//DaOjo+uUBE+aNIk777wTgJdeeoklS5awbds2hg8fzltvvUVsbCxvvvkmKpWKTp06cfr0aWbOnMncuXNRW/9HS0hI4NVXX7WfMyND2U74wgsvMGjQIAAmT57M7NmzOXbsGPHx8QDccsst/PLLL8ycOROAsefcPFm5ciXh4eEcPHiQbt261fq7dOrUiTZt2jB79mz+/e9/4+vry7/+9S/S09PtMQGMGzeOtm3b0qpVK/bt28fMmTM5fPgwa9asAWDWrFk89NBDtG/fnri4OFasWEFycjLvv/8+W7Zs4cEHH+THH3+kb9++LF++nMDAwFpjE38vkswL0QIdVinLznSlyr7G+MQy3v1mJzm5nlRUKsuxcs+c/TIJi6y+hzEwLYX4TT9j2rKRg/dNcUPUrpmBCuvF2P+OLCGizSSXybxUshdCiIZn6zHvYyinzGIixCuMRfMT2LIhlDFTi7jq1jKnxzWHtnS2ZN7X6Dqh7BJ8CSt7HUGlDyYvD6JrWbDWKEqcF3cF4Nyl1FlZrseeezciJeW8Q7Kx1FI8sCYvv/xyncbZZp0BfH19CQgIIMv6eyYlJTFw4ECHlXmDBg2ipKSE9PR02rRpA0CfPn1qPXdkZCQ+Pj72RN723LZt2+x/T05OZu7cuWzdupWcnBz7zYjU1NQ6JfNarZY1a9YwefJkQkJC0Gg0DB06lBEjRjj8Wz7wwAP2x927dyc6OpohQ4Zw7Ngx2rdvT2BgIP/5z38czn3NNdewcOFCPv74Y44fP87hw4ft++6lGN7FR+4tCtECFRanQcZuDhz+r8PzZsvZL8GcKsl8SET1mfm43zcAcLrfZegDmvZOb4W6SoZeWYiPR/UlfgCvvgrjx8PatW4KTAghWghbMu9VqSScwV4hlOwppLhQS3B2qsvjqibzMR2c1ztpbHWZmQf47stA7r41gBdfdEdUTvj6uv45t0htTWO9ves2th4SEhJQqVSNWuROa90iaKNSqeq8rN3G2RaAc8+tUqlqfa9Ro0aRl5fH8uXL2bp1K1u3bgWUonp11adPH/bs2UNBQQEZGRmsXbuW3Nxch5sI5xowYACgrIRw5r333iMoKIgbb7yRjRs32ovs3XrrrWzcuLHOsYm/D0nmhWiBbspIptund9DjyI8Oz5tNZ5NiWyV7cL5n3pbMp1x7fSNFWXdmlYr++aWEpO4Akx5vF8l8UhJs2QK5uW4OUAghLnK2ZN6johBQkvmPQh7gL7oxJGyr02PMZrO9x3xYq1i8fOu3T7uh2JP5GmbmAbRaC6GhFiKargtrsxUSEsKwYcNYunQppU6K5xUUFDTq+3fu3JktW7Y4zGpv3rwZf39/Wrdu3aDvlZuby+HDh3n22WcZMmQInTt3Jj8//7zPFxgYSHh4OMnJyezYsYMbb7zR5Vhb3/poJ0tDsrOzef755+17+00mEwaD0m7YYDBgMkkXhouRJPNCtEDXRA1k+/XfMnegUhjmh/9GMefhrmxaF2ofk+ewZ97xS8M/I52wY4cxq9WkDna+nN2d/ExmHkjNI+GHOQAuk/kpU+CNN8C6LU4IIUQDsSXzlCl3S0O8QgjPS6EbB/CIC3J6THZ6KpXlyvL71olN11++LjPz36Z+RHLv23h29afMneuuyP5eli5dislkon///nzxxRckJyeTlJTEkiVLGDhwoMvjZs+ezYQJEy7ovR9++GHS0tKYNm0ahw4d4uuvv2bevHlMnz7dvl++oQQHBxMaGso777zD0aNH2bBhA9OnT6/3eT7//HM2btzI8ePH+frrr7n22msZM2YM112nXFcdO3aMBQsWsHPnTlJSUvjmm2+YMGECV155pcO2AJvHHnuMJ554gpgYpUbFoEGD+PDDD0lKSuKdd96x1wQQFxfZMy9EC2UEzBblwuX4EV+2/x5CZJuzrW1yziitgnz8/PE5Z7Yk7vdfAMi8ZAAVIaE0F5VG5aLQW+Pj9PW+fZXVhbGx7oxKCCEuftnWZL6fX1vGDv0ADw9vvLJWAlDmZKsWOBa/i23SZF5ZleZndD1zeaRwH39m/cygVle7K6y/nfj4eHbt2sWLL77IE088QUZGBuHh4fTp04dly5a5PC4jI4PUVNdbMeoiJiaG77//nhkzZtCzZ09CQkKYPHkyzz777AWd1xm1Ws3q1at55JFH6NatGx07dmTJkiV1qshfVUZGBtOnT+fMmTNER0czYcIE5syZY3/d09OTn3/+mUWLFlFaWkpsbCxjx451+jutW7eOo0eP8uGHH9qfmzp1Kjt27GDAgAH079+fefPmnffvLJovleVCKlb8TRUVFREYGEhhYaFDr8YLduRIw51LiEZiBDI8PPA2m9ldcQazxcyRA34cP+yLX6iRuIQyzCYTD40ehMlkIjY+gXlvORZXGfXYPUQc2s8fs18g6fYLu5vekF7/9WaS8neweNDnDG9zi9Mxvr4Q47qwshAtWqN9P7r7/Y4fhyr9pUXjmx4ezr+Cg7m/oIApORkkHTzDsRt/IpEjlP2xAKNP9RVTX7/1Ov97ZzEAD732Nn2GjnR32AB8HBPEL2H+jEvPZ8KpAqdjDubvJLU0maHthnP9Jb0bNR6DwUB2djbh4eHV9m4LIZqGu/+7rOv3oyyzF6KFOaHV0iY+nsjYSL49/jUAiV1LGHpjFnEJysx2QV6OfW9V6DmV7FUmI0XRMVT6+pNyzTD3Bu9CkYeaU15ayjyVGXlXy+x37IBdu6C83J3RCSHExc+2zD7IbMZkMXNql4lneZEF6rlOE3k4p5J9Yhe3xOlMqN5E+9JKoitd3wDqEtyHlM+msfz53hw86MbghBCiBrLMXogWxtZj3lx8mkrT2azWofjdmarF7xyXR1o0Hvw68wVUfj5Y/PwbOdq62R7kwycxwXgxE1b/hreH82X2Dz8MhYVKIbzzaIUrhBDCBVsyv/PED6gzk+hs6MQ9rCTEvxwY7fSYtCNKVqzz9iG8dRt3hVrN8OxibsgqJqqGZB7gz9+9yDwNs2a5KTAhhKiFJPNCtDBp1mSeojR8tUoyfmifP2hA52tC62mptZI9gMW7fm1rGlO5tbiNpUKpJuutcR5b69YQGAh+TVMwWQghLlpzc3O56sxxZv0+hy0lmWz1eZyJvMTpToP4wUkyX15STM6pNABiEjo1eJGy+lLVsun098y1XDu+D211lxAfL5fPQojmQT6NhGhh0m37fIrS8dcqWe2cKV0pLtTy/Dv7adWmgtwaKtl7FeRTERwCmuazS8dWvMhcngfgss/8mjUQHAzh4W4LTQghWoRLKyoILMtlX+QgSkJKOd3jOrIH9iO7LMzpeIcl9glNv1RKjets3mg28MKeh8EbDk7KJiLC+e8khBDuJsm8EC2M48x8EBYLBIcaUKnB119ZYuiwzL5KMq8yGblt4mgMvn58/cl3lEU6n7V3t3LrjQVTeQ7ges88gErl8iUhhBAXIMavNfMGPM/p8ixKKwyYQsIoCW3rdGzVZD62CffLA+R7aAg2mLAAzr4iCvXKqi81akJ9QtwamxBC1ESSeSFamHR7Mp+OX2BrVCp456udFBV7UFSszNo77pk/m7AHnTyBtrICi0ZDWXikW+OuiS2ZN1coM/NeLvbMAzTxSk4hhLho2Rq7Gc0mHr6tN/k5nkx9I4/2PfTVxlZtS9c6sWln5p/pHIVerWbV7jSi9NX3zRcacsHoiV/xAM5kqomQ1V1CiGZCLmuFaGHsyXxhGr6eZzePV21Sadsz76nzwi8g0P58uLVYUU7n7s0qKy6zJvMRKn/a+LXHx8me+TNn4J57YPJkd0cnhBAXt1y1mifCwnjeW0VhZSEmi4m8VBXFhVoiStKcHpN++GwyH9Oh6ZJ5gwr01u8zP5PZ6ZhCfR7kdaBo8W/Us5W4EEI0quZzNS6EcIu0qjPz2rPJvMlazd5isdj3zIdFRqOqsi49/PABALK7N26P3foqVysxPtTuUT6/dgdeHt7VxhQWwh9/wKZN7o5OCCEubmlaLf8MCeHNoED6f9qbrRlbSA7szn660tr3TLXxZrOZ9KPKMvuwVrH4+LvuodzYbDeDVRYLPjUl80YdHv55UnNFCNGsyDJ7IVqQEpWKXGsyrypKx9vDh0P7/PloWRtaxZUzenwGRQV5GPSVAIScsyc+/Igtme/l1rhrY7sY8zWZUauc36OMioJ//Qu8q+f5QgghLoCtLZ25LAuAKF0YkXkpRGFmb6vqW7JyTqVSWVYKQOvEzu4L1AnbNi0fk9nlDFehPg9a7eaafz3Amjv+677ghBCiFs1iZn7p0qXExcXh5eXFgAED2LZtm8uxy5cv54orriA4OJjg4GCGDh1a43ghxFknbZXsy/PxM5tQq9RknvJix+YQkg8obeocKtlX2S+vqawg+MQxAHK69nRf0HVQXiWZVzktXwQBATByJIwf787IhBDi4mdP5kuUWfjYCh0qsxmzRkNFSPXK7w6V7Js4mS+t8v3hSoE+F4BQr4jmtMOsxVOpVHz11Vd1Hj9p0iTGjBnTaPEI0RSa/CPp008/Zfr06cybN49du3bRs2dPhg0bRlZWltPxGzdu5M477+SXX35hy5YtxMbGct1113Hq1Ck3Ry7E309bg4El+3+Bb+61L7Hv1L2I6c8f4bqblSQ+r0rxu7AqM/Ohxw6jNpsoCw2jtJlUsbcpt7ame+6P23l08y01jvWQ9UhCCNGgbMk8ZTkE60JI/cOXF3iG7/1vxmJ7rYq0wwftj2Obycy8r9F1Ml9YJZl38uuIKjIzM5k2bRrx8fHodDpiY2MZNWoU69evt4+Ji4tj0aJFTRek1eDBg3nsscca5Fzr16/nsssuw9/fn6ioKGbOnInReLaYYkpKCiqVqtrPn3/+aR/z008/kZiYSEBAAOPHj0evP1s4srCwkMTERE6ePNkg8YqLR5Mn8//85z+5//77ueeee+jSpQtvv/02Pj4+rFy50un4jz/+mIcffphevXrRqVMn3n33Xcxms8OHhBDCOT+LhQ45R+HQV/hplZn4qNaVXDfmDL0vLQQgx0Ul+0r/QPbfNI7kG8Y2q/5uFuCpo9mM276B7OztZJY7L7Z07Bjs3Qv5+e6NTwghLnb2ZL48h1Z+MezeGsIcXuAz1e1Oxzv2mG/aZL7MejPYVfE7sC6zP3gzG98Yx8cfuyuyv5+UlBT69OnDhg0bWLhwIX/99Rdr167l6quvZsqUKU0dXqPZu3cvI0eOZPjw4ezevZtPP/2Ub775hlmzZlUb+/PPP5ORkWH/6dOnD6DUkRg3bhwPPvggW7ZsYceOHbzzzjv242bNmsWDDz5I27bOWz2KlqtJk3m9Xs/OnTsZOnSo/Tm1Ws3QoUPZsmVLnc5RVlaGwWAgJMR138/KykqKioocfoRoqQr0xQD4efo7PG+yKBc0tkr2AKERUfbHhbFxbH3wcXY8/owboqw7FdCuXM91pnD+2fdjnuuzzOm4FSvgtttg+XL3xieEOEu+jy9OVWfmI32i6O5/mHtZwSXRyU7Hp1s7o3h6eRMe27TJiW2ZvV+NM/N5cLoP+39NZM8eNwXmRKm+tN4/RvPZ2WGj2UipvpRyQ3mdzltfDz/8MCqVim3btjF27FgSExPp2rUr06dPd5iBPh/JyclceeWVeHl50aVLF3766adqY9LS0rjtttsICgoiJCSEG2+8kZSUFKfnmzRpEr/++iuLFy+2z5KnpKRgMpmYPHky7dq1w9vbm44dO7J48eIaY/v000/p0aMHc+fOpUOHDlx11VW8+uqrLF26lOLiYoexoaGhREVF2X+01u2POTk55OTk8PDDD9O1a1dGjx5NUpLS8eGPP/5g+/btPProo+fxLycudk264DQnJweTyURkpGNxlMjISA4dOuTiKEczZ86kVatWDjcEzvXyyy8zf/78C4pViItF9+BOPNVnNh4aHQBpJ7zR61WY1Gp8fE2Oyfy5y+k1zXeNup9HAFHBfWjl38r5637QqhW0bu3mwIQQdvJ9fHHKsW0kL8sh0jeaEYG/MYWPONBjEuemcBWlJWSnpwLQOqET6ibehF5eh2S+QJ8Lid8yrtdtjBnTwV2hVeP3sl/tg87x2S2fcWvXWwH4MulLbvvvbVzV9io2TtpoHxO3OI6cspxqx1rmWao950peXh5r167lxRdfxNe3envYoKAgl8dOmjSJlJQUNm7c6PR1s9nMzTffTGRkJFu3bqWwsLDa8niDwcCwYcMYOHAgmzZtwsPDgxdeeIHhw4ezb98+PD09HcYvXryYI0eO0K1bN55//nkAwsPDMZvNtG7dms8//5zQ0FD++OMPHnjgAaKjo7ntttucxldZWYmXl5fDc97e3lRUVLBz504GV+lnOHr0aCoqKkhMTOSpp55i9OjR9veOjo7mxx9/ZOjQoWzatImJEydiMBh46KGHWLlyJRrZ4yGcaPJl9hfilVdeYfXq1Xz55ZfV/iOqavbs2RQWFtp/0tKcL8MV4mL3VFgYKzoMZFjPh7imzbUArPhXO6bc2oftvwYDkGtdZu+h1RIQHAqAtqyUqL070Rr0zk/cDKiwWP90vgXg6aeV1nSTJrkxKCGEA/k+vjjZZ+ZLs4nyiSZ52n2s+/F/7HngkWpjm1PxOzjbDcW/tmX2bbZw96RKrr7aXZH9vRw9ehSLxUKnTp3qfWx0dDRt2rRx+frPP//MoUOH+OCDD+jZsydXXnklL730ksOYTz/9FLPZzLvvvkv37t3p3Lkz7733HqmpqU5vEgQGBuLp6YmPj499llyj0aDVapk/fz59+/alXbt23HXXXdxzzz189tlnLuMbNmwYf/zxB5988gkmk4lTp07ZbxBkZCjXVH5+frz++ut8/vnnfPfdd1x++eWMGTOGb775BlCK+X322WcsWLCArl270rt3b+69915eeeUVrr76ary8vBg0aBAdO3bkzTffrO8/sbiINek0W1hYGBqNhjNnHHuQnjlzhqioKBdHKV577TVeeeUVfv75Z3r06FHjWJ1Oh06nu+B4hfi7WxEYSJ5GwzWlpegsyoVLQJAB/0ADvv4mhx7zIeFR9hmTiKS/GP7MNApj4/jv/35rsvidSfPS8lO4P4G5KbTZtZp+kZdzRathTsdK8TshmpZ8H1+csm0frmU5RAUPoKLSA3NoOBUaZ5Xsk+yPm3q/PMCgvFLiS/V0Kal0+rrJYkJvVl4L94lwZ2jVlMwuqfcxOo+z/73d1PkmSmaXVGvhmvJoyoWGhsVS91n8c7388ss1vp6UlERsbCytWp1deTdw4ECHMXv37uXo0aP4+ztuIayoqODYsWP1imfp0qWsXLmS1NRUysvL0ev19OrVy+X46667joULF/Lggw8yfvx4dDodc+bMYdOmTfbrqLCwMKZPn24/pl+/fpw+fZqFCxfaZ+cvv/xytm/fbh9z5MgRPvjgA3bv3s2VV17Jo48+yogRI+jWrRtXXnllrfmPaBma9NLW09OTPn36sH79enurCFsxu6lTp7o87tVXX+XFF19k3bp19O3b103RCvH3VqRWk2edPck/swdvCwToApn+fDKVlcfIytFRUlhAhbX3b3hUjP3Y8MPW/vJdmt8XxxmdB3+E+BJu8uGHQy+QVTnRZTIvK9SEEKLhhRuNoM+DsmwCacOYAYPwCzTy6rpMPL0ck7y0I2eT+diOTZ/MR1caiakw0qrS6PR1jUrDV0P3k5nujakoDJOp6b5LfD2rL1+vDw+1Bx6e1S/9L/S8AAkJCahUqjpvk21oJSUl9OnTh4+dVCgMDw+v83lWr17Nk08+yeuvv87AgQPx9/dn4cKFbN26tcbjpk+fzuOPP05GRgbBwcGkpKQwe/Zs4uPjXR4zYMAAp3v/bf7xj3/w+uuvYzab2b17N7feeis+Pj5cddVV/Prrr5LMC6AZLLOfPn06y5cv5/333ycpKYmHHnqI0tJS7rnnHgAmTJjA7Nmz7eP/7//+jzlz5rBy5Uri4uLIzMwkMzOTkpL6360UoiU5aZ050VYUMfHbUWxM/9n+msmkQqWCrIx0+3Phrc4m82HWYkU53Xu5J9h6sO139KhUbkL4eFTfU1hSAuPGwf33g8nk1vCEEOKityp5J/yzFZoz+7EUKLOn6rJK/PQF1camV0nmYzrUf0l2Y1DXMqmsUql45tFILr1URS05XYsVEhLCsGHDWLp0KaWl1YvnFRQUnPe5O3fuTFpamn3JOlCtoN4ll1xCcnIyERERdOjQweEnMDDQ6Xk9PT0xnXNRsHnzZi677DIefvhhevfuTYcOHeo8s69SqWjVqhXe3t588sknxMbGcskll7gcv2fPHqKjnbf6XbFiBSEhIYwePdoeo8FgsP95btyi5WryZP7222/ntddeY+7cufTq1Ys9e/awdu1ae1G81NRUh/94ly1bhl6v55ZbbiE6Otr+89prrzXVryDE30KKtWKqf2kOUT7RBOqC7K8ZTco+8+yqyXy0tVKcxXJ2Zr5bL7fEWh+2/Y4aa5V+Z8l8djbs3AkbN8rsvBBCNLTjJUrtgyjfKDpE5lFAIDsMvTBbv3dszGazfc98WKtYfPwD3B6rM2pqzuYtFlBrlO+PmJgah7ZoS5cuxWQy0b9/f7744guSk5NJSkpiyZIl1ZbFVzV79mwmTJjg8vWhQ4eSmJjIxIkT2bt3L5s2beKZZxw769x1112EhYVx4403smnTJk6cOMHGjRt55JFHSE9Pd3reuLg4tm7dSkpKCjk5OZjNZhISEtixYwfr1q3jyJEjzJkzx2Hpuyu2VnwHDhxgwYIFvPLKKyxZssRetO7999/nk08+4dChQxw6dIiXXnqJlStXMm3atGrnysrK4oUXXuCNN94AIDg4mM6dO7No0SK2bNnC+vXrGTRoUK0xiZahWewgnTp1qstl9ecWrXDVYkIIUbMT1ouqAboI/u/mXzhdlsXxw76881o7WseXM2biacdk3rrM3icnC5/8XMwaDbkduzZJ7DUpVys3IizlBQAE6UKrjQkLg0WLQLbqCiFEw7Ml89G+rfDKziGQIrz9LPzm7eMwLudUKpXWrVytE5vHrPz/IgNQWeCWjELCDNVnO3fl/M7XJ1dxy6JrmDXoGSKadtt8sxYfH8+uXbt48cUXeeKJJ8jIyCA8PJw+ffqwbJnztrGgFIlLTU11+bparebLL79k8uTJ9O/fn7i4OJYsWcLw4cPtY3x8fPjtt9+YOXMmN998M8XFxcTExDBkyBACApzfNHryySeZOHEiXbp0oby8nBMnTvCPf/yD3bt3c/vtt6NSqbjzzjt5+OGH+eGHH2r83X/44QdefPFFKisr6dmzJ19//TUjRoxwGLNgwQJOnjyJh4cHnTp14tNPP+WWW26pdq5HH32UJ554wqFGwKpVq5g4cSJLlixhxowZ9OvXr8Z4RMvRLJJ5IUTjs83MtzKZMFmL36Wf9GbP1mDKSpWPgqyMU/bxtpl526x8fvtETN7e7gy5TmzL7M0VuQAE66oXXPL3hxEjpC2dEEI0NBNwZ9xoukRfyoGyDLz+UlZTloVHVhubcmCf/XGbTt3cFWKN1of5UeKhYXh2sdNkPq30GFuzNxCgC0SnA5XzhinCKjo6mjfffLPGiuvnTsytWrWq1vMmJiayadMmh+fOLboXFRXF+++/7/Ic575PYmIiW7ZsqTbuvffe47333nN4rrYifRs2bKjx9YkTJzJx4sQax9h88skn1Z7r37+/ve+8EFVJMi9EC5Fi3TMfYzBgtibznboX8+SLh6k0KlcnOQ7JvDIzH3rssPJa5+7uDLfObMvsDWXZgPNk3kaW2AshRMNa5+vLqFatGFgex5xjO/npRw1reYYBvtWXNp84sNf+OK5rT3eG6ZSFs98hvi5a0/UOHcSjXV+ic2h36YgihGh25GNJiBbCtsx+2aYZfJvxF89c+gIR0TB0VBanM70xm88WwAsIDsHLujzy+FXXUR4aTkHP3k0We03KNcqNCH1ZFuA8mT92DIqLISAAaul6KYQQoh5y1GrMKhUq6yzpD9s7s4nbeFHzFufOzafs32N/3K4ZJPOVahVm61S7v9F5Mt/GrwMZe7rz9coozKPgoYfcGaEQQtRMknkhWgjbMvvsjG3k5x7B20NZMm82Kz+VFRUU5uUAVYrfAQVx7SlI7Awhwe4Pug5sy+wrSk8DzpP5Vavgs8/guedg3jw3BieEEBe5HOuSpzO5+ymqLGRY2AESUrcR166U8irjTEYjJ5P2A0rxO/+Q6vVN3M1eQNVsQWd2XQTv2GEvfvgBqmxhFkKIZqHJq9kLIRqfHhhUXk6bskIoSCHCOxK1Ss3+XQEcO+SLQa8iJ7N68Tu7Zry20HYxpi87AzhP5v38lIsw2TMvhBAN67S1r1vy6S2oVCruC/4PK7iPtl0MDuMyThxFX6Gk93Fdm0d/7PIqS+xdbYXfnbuZoG5befypcm6/3X2xCSFEXTTfK3QhRIPxBL49fZplqd/xsKGMiKDOALz4RGfycz2Zu/QAuVnVi98FpqUQcXAfOZf0J7970y+JdCa6woDZbORU6Rk0Kg3+2ur9ZGfOhLlzoW3bJghQCCEuYraZ+a7erfBT+bPn9QXoz1SS7+t49/RElSX2zWG/PECpdZuWq/3yAMsOzie19Cgf3biBay+72l2hCSFEncjMvBAtSFpZJgDhPuGYTBAaUUlAkIGQcD3ZVYrfRViT+dbb/+DKfy3gkhVvNEm8dfFAah5Tt2+CzD0EeoagVjn/WJPid0II0fAKtV4ADI8YQGWFhpISLeUhERj8/B3GpVQpfteuWy93huiSbWWXn4v98gCF+jwAInzD3RKTEELUh8zMC9GCpFv3lYd5R6DRwJuf7qGw2IPiYq1jj/lW1kr2x48AkNep+fWXr6q0UrnYCvJ0vQezGe8UEEKIv60ctS0hrmT7phBefLIzvQYVMXVpocM4WyV7lUpF287Noy1deS2V7E0WE0WGfDh9CZaiSMxmUMs0mBCiGZGPJCFagBQPDzI0GtLKlP6/4d4R9teM1rZ0Dsm8dWY+xJrM53Zs3sk8WIjxiaO1X3y1V8rK4M474b77wGBwcqgQQojzdkql9Gb3rCwm56jyOC5jr8MYQ2UFp5IPARDdrgNevn7uDdKFszPz1fvLAxTr87EYPeCdnQy7Mpy8PHdGJ4QQtZO5KiFagEcjIvjGz4/Ik5dD+noivM82DDKblIsZ2zJ7nZc3AUEhqA0GglJPAJCX2Nn9QdeBCWVmpVvoIFZcuYGYgJhqY3JyYNcu8PEBa0F/IYQQDeSUSpnV/uvkeh7v783/vT2IrNL2/MbX9jGphw9iMhoBiGsmS+wBPMwWwiqNhOmdJ/MF+jyoCEYVeAofYwyhTV+AXwghHEgyL0QLYOsxX5y9D4Bwn0i++zyKTT+GccmgAi4dkkXOGesS/KgYVCoVQWkn0BiNVPr5U9KqeZaBz9R5MK9TNAEGE5/tSkWjqr4xPiQEFi8GT88mCFAIIS5iJkCvU/bGt/Xww+/YMQIpojAhyGGcw375ZlL8DuCqvFKuyislpsLo9PVCfR74ZdFmztXsmXwElauS90I0U5MmTaKgoICvvvqqqUMRjUSW2QtxkbOgLLMHKMs+CCjL7I8m+bFnazA52Z7kZZ+xz5pEWBP3kGPW/fIJnWiuVzC2JZI+1v2Ozorf+fnB8OEwYYJbQxNCiIueyWJB978H4ccniPMMwvfESQAK2iU4jGuOlextVBZctqUr1OcCEOoVITeE6ygzM5Np06YRHx+PTqcjNjaWUaNGsX79evuYuLg4Fi1a1HRBigY3ePBgHnvssQs6R3FxMY899hht27bF29ubyy67jO3btzuMmTRpEiqVyuFn+PDh9tcrKysZP348AQEBJCYm8vPPPzscv3DhQqZNm3ZBcTY3MjMvxEUuX62m2FbKvfAk/lp/fLQ+jLrjNF16FuEXaiQ7s2pbOlvxu2QA8prxfnlb8aKyklNM/WMUj/SYz7DYsU7HSjV7IYRoWIWV+VTuXo4KFarem3jqx3u4gih6tG/nMC7lgLIqTOOhpXVip6YI1aWaZrUKrMl8iC5ciqjWQUpKCoMGDSIoKIiFCxfSvXt3DAYD69atY8qUKRw6dKipQ2wSer0eT7kbVKv77ruP/fv38+GHH9KqVSs++ugjhg4dysGDB4mJObuNcvjw4bz33nv2v+t0Ovvjd955h507d7JlyxZ++OEHxo0bx5kzZ1CpVJw4cYLly5ezY8cOt/5ejU1m5oW4yNmW2Afpy8BYQYRPFADxiWVcNSKH2Phyx+J3UcoH5p477mHtS29y+OY73R90HdmSeXN5DkeLDlBuLKs25vhx2L0bcnPdHZ0QQlzcjpekARDhHc7JwyF8lnM9/2EcBfEd7GPKiovITDkGQGzHLmg9dU7P1RTMKDPzrhTq82DHAxx+9xm+/dZtYblUWqr8WKrErNcrz1VWOh9rrlKo32BQnquoqNvY+nr44YdRqVRs27aNsWPHkpiYSNeuXZk+fTp//vln/U9YhUql4t133+Wmm27Cx8eHhIQEvvnmG4cxv/76K/3790en0xEdHc2sWbMwGs9uoRg8eDCPPPIITz31FCEhIURFRfHcc89Ve59ly5YxYsQIvL29iY+P57///a/DmJkzZ5KYmIiPjw/x8fHMmTMHQ5V/sOeee45evXrx7rvv0q5dO7y8lPaNa9eu5fLLLycoKIjQ0FBuuOEGjh07Zj8uJSUFlUrFZ599xhVXXIG3tzf9+vXjyJEjbN++nb59++Ln58eIESPIzs6u17/f/PnzCQ8PJyAggAcffBC9Xm9/rbKykkceeYSIiAi8vLy4/PLLq82I1/RvO2nSJH799VcWL15sny1PSUkhPz+fu+66i/DwcLy9vUlISHBIwqsqLy/niy++4NVXX+XKK6+kQ4cOPPfcc3To0IFly5Y5jNXpdERFRdl/goOD7a8lJSUxevRounbtypQpU8jOziYnJweAhx56iP/7v/8jICCgXv92zZ0k80Jc5FKsyXxAmbVXrk+VSvYmZXFhlpNK9pWBQZwaeAX5zbQV2yMFAABZk0lEQVT4HUCZRom/va41r/T/kIGR11Qb8/77cMcd8Pbb7o5OCCEubsnFKQBE+7aiQ6scFvAs9/AeBe3OJvMnD+6zP25O++UBFiRG8kCPGPYGeDl9vdCQB6mXk7a1L1Vyribj56f8WHMTABYuVJ6bOtVxbESE8nxq6tnnli5Vnps82XFsXJzyfFLS2edWrapfbHl5eaxdu5YpU6bg6+tb7fWgoCCXx06aNInBgwfX+h7z58/ntttuY9++fYwcOZK77rqLPGuLgVOnTjFy5Ej69evH3r17WbZsGStWrOCFF15wOMf777+Pr68vW7du5dVXX+X555/np59+chgzZ84cxo4dy969e7nrrru44447SKryj+Pv78+qVas4ePAgixcvZvny5fzrX/9yOMfRo0f54osvWLNmDXv27AGgtLSU6dOns2PHDtavX49areamm27CbHZsjThv3jyeffZZdu3ahYeHB+PGjeOpp55i8eLFbNq0iaNHjzJ37txa/71s1q9fT1JSEhs3buSTTz5hzZo1zJ8/3/76U089xRdffMH777/Prl276NChA8OGDavzv+3ixYsZOHAg999/PxkZGWRkZBAbG8ucOXM4ePAgP/zwA0lJSSxbtoywsDCnMRqNRkwmk/3Gh423tze///67w3MbN24kIiKCjh078tBDD5FbZbamZ8+e/P7775SXl7Nu3Tqio6MJCwvj448/xsvLi5tuuqnO/25/F7JoSIiLnC2ZjzerubvfHDw0Oior1OzZFohvoJGgcCPZp6sss69a7M6jeZd/t83MR+DLZZHXEukTWW2Mnx/ExEBsrLujE0KIi9sHQSEwaCYRJSV0NB9ngvc/qfT1Z7X/2UTjRJXid81tv3yZRo1eo0Zncj49X6jPg0veZdilbRg69Co3R/f3cvToUSwWC5061X8bRXR0dLWE1plJkyZx553KasGXXnqJJUuWsG3bNoYPH85bb71FbGwsb775JiqVik6dOnH69GlmzpzJ3LlzUauV64UePXowb948ABISEnjzzTdZv3491157rf19br31Vu677z4AFixYwE8//cQbb7zBW2+9BcCzzz5rHxsXF8eTTz7J6tWreeqpp+zP6/V6PvjgA8LDw+3PjR3ruA1w5cqVhIeHc/DgQbp162Z//sknn2TYsGEAPProo9x5552sX7+eQYMGATB58mRW1eNui6enJytXrsTHx4euXbvy/PPPM2PGDBYsWEB5eTnLli1j1apVjBgxAoDly5fz008/sWLFCmbMmFHrv21gYCCenp74+PgQFRVlf9/U1FR69+5N37597f9Wrvj7+zNw4EAWLFhA586diYyM5JNPPmHLli106HD25uDw4cO5+eabadeuHceOHePpp59mxIgRbNmyBY1Gw7333su+ffvo0qULYWFhfPbZZ+Tn5zN37lw2btzIs88+y+rVq2nfvj0rV650WL7/dyXJvBAXOdsy+45qHyZ0mkRK6SlOHPFi3tRu+AUYWPTZXvsye7VaQ2hENGGHD9D2j41kDrySU4OHNmX4NbIVwPM1mZ0WvwOYMQOefRbatnVnZEIIcfH7o91lEDEZzZ7/UqKJ5Idf11GU77iM3rZfHiCuaw93h1gje595k4vWdJW5ELeVG646Te/e7ozMuZIS5U8fn7PPzZgBjz1GtT39WVnKn97eZ5+bMgXuv796DZmUlOpjJ02qX2wWSw37FWrx8ssv12lcjx5n///j6+tLQEAAWdZfNCkpiYEDB6KqUrB30KBBlJSUkJ6eTps2baqdA5QbCbZz2AwcOLDa322z6wCffvopS5Ys4dixY5SUlGA0Gqst3W7btq1DIg+QnJzM3Llz2bp1Kzk5OfYbGKmpqQ7JfNUYIyOVSYru3bs7PHduzDXp2bMnPlX+TzNw4EBKSkpIS0ujsLAQg8Fgv1EAoNVq6d+/v301Ql3/bc/10EMPMXbsWHbt2sV1113HmDFjuOyyy1zG+eGHH3LvvfcSExODRqPhkksu4c4772Tnzp32MXfccYf9cffu3enRowft27dn48aNDBkyBK1Wy9KlSx3Oe8899/DII4+we/duvvrqK/bu3curr77KI488whdffFHHf8XmS5bZC3GRs1WyjzEaMVqUCxaDQU37TiW07VCGxWKxJ/MhEZF4eHgQs2srvT5dRYe1X7s8b3NQbr3TfjJ3B2vTPsNscX5nX4rfCSFEwzqlslAaoWzDGlymJvmgH6VlWirCHFdI2drS6Xx8ia6y/L6pmYEKtZKc+Bmdf3dUmEoBCPcNd/q6u/n6Kj9VG8x4eirP6XTOx6qrXOlrtcpz56xkdjm2PhISElCpVI1a5E57TlAqlapOM/oNeY4tW7Zw1113MXLkSL799lt2797NM88847AHHXC61WDUqFHk5eWxfPlytm7dytatWwGqHVs1RlsCfe5z9f29m8KIESM4efIkjz/+OKdPn2bIkCE8+eSTLse3b9+eX3/91X6jYdu2bRgMBuLj410eEx8fT1hYGEePHnX6+i+//MKBAweYOnUqGzduZOTIkfj6+nLbbbexcePGC/0VmwVJ5oW4yNmW2edl7mRPzm70Jj2JXUtY+tlunlp4mNLiQsrLrBcs1uJ3oda2dLmduzk/aTNRbt0zvzv9f7y69wlULhoMSTIvhBAN632V8r2hztyL76k2TLujN/eP7oOlSkZYmJNFXuZpANp27o66GX0Yl2tUWKyJkq/JeWL0et9vWBx7ivYaWWJfm5CQEIYNG8bSpUspLS2t9npBQUGjvn/nzp3ZsmWLwwqBzZs34+/vT+vWrWs4srpzi/X9+eefdO6s3Lj6448/aNu2Lc888wx9+/YlISGBkydP1nrO3NxcDh8+zLPPPsuQIUPo3Lkz+fn59YrrfO3du5fy8nL73//880/8/PyIjY2lffv2eHp6snnzZvvrBoOB7du306VLF6Bu/7aenp6YnKxwCQ8PZ+LEiXz00UcsWrSId955p9Z4fX19iY6OJj8/n3Xr1nHjjTe6HJuenk5ubi7R0dHVXquoqGDKlCn8+9//RqPRYDKZ7IUKDQaD03j/jiSZF+Ii99Xp06xJT+PNHyZw99rbKag8++VhNqnIyqjals7aY/6EtS1dMy5+B2eXSFJZSJBnqMMSMIDycrjzTrjvvuqVfoUQQpy//3krN4rDT++mKF9HqEc+nVWH8D+dZh9zfN9u++PmVvzO9v2hM5nRulghnnlKy6OTWzHk6uZdP6a5WLp0KSaTif79+/PFF1+QnJxMUlISS5YsqbZ0varZs2czYcKEC3rvhx9+mLS0NKZNm8ahQ4f4+uuvmTdvHtOnT7fvl6+rzz//nJUrV3LkyBHmzZvHtm3bmGqtMJiQkEBqaiqrV6/m2LFjLFmyhC+//LLWcwYHBxMaGso777zD0aNH2bBhA9OnTz+v37W+9Ho9kydP5uDBg3z//ffMmzePqVOnolar8fX15aGHHmLGjBmsXbuWgwcPcv/991NWVsZka6XEuvzbxsXFsXXrVlJSUuxbCObOncvXX3/N0aNHOXDgAN9++639pogz69atY+3atZw4cYKffvqJq6++mk6dOnHPPfcAUFJSwowZM/jzzz9JSUlh/fr13HjjjfaCfedasGABI0eOpLd1j8ygQYNYs2YN+/bt480333TYWvB3JnvmhbjIdTAY8KgooLtvazLQEOoVCiitbUxmFdmnq1Syb9Uaj/IyAqwXY3kduzRJzHV1fVYRsSm7+OHkbwTpQqu9npsLu3Ypyw+lxasQQjQMM7A3RKkq2jn/FH17tybb1JPyQi++9Dpbefrgn5vsjzv07ufuMGtUteaKK+XlKiKjzESEy9xXXcTHx7Nr1y5efPFFnnjiCTIyMggPD6dPnz7V2otVlZGRQWrVsvvnISYmhu+//54ZM2bQs2dPQkJCmDx5skOxurqaP38+q1ev5uGHHyY6OppPPvnEPks9evRoHn/8caZOnUplZSXXX389c+bMqdbi7lxqtZrVq1fzyCOP0K1bNzp27MiSJUvqVMX/Qg0ZMoSEhASuvPJKKisrufPOOx3ifeWVVzCbzYwfP57i4mL69u3LunXr7C3f6vJv++STTzJx4kS6dOlCeXk5J06cwNPTk9mzZ5OSkoK3tzdXXHEFq1evdhlnYWEhs2fPJj09nZCQEMaOHcuLL75o32Kg0WjYt28f77//PgUFBbRq1YrrrruOBQsWOPSaB9i/fz+fffaZQ62DW265hY0bN3LFFVfQsWNH/vOf/zTAv27TU1kupGLF31RRURGBgYEUFhY2bK/BI0ca7lxCNKAzGg2FajU5FfkUG0tZ+HQiOVk6rh+XwcFdS/jqA6Vv20PP/h8jQsIYNX0ypaHhrF6/s5YzN70dqWt4e9djDIi4mg+GbHB4raQEfv9d2fv30ENNFKAQfyON9v3o7vc7fhyq9JcWDWu3TsclbdtCZTGzNi5hVHErLrv1XioCAvn4132gUmGxWJh9w+XknEpD4+HB4l/34eXr19Sh2yX56Xi9fQSx5XqW7ztV7fXMsjTeSnqOdgGJrLz5bYeic43NYDCQnZ1NeHh4tT3eonGpVCq+/PJLxowZ09ShiGbG3f9d1vX7UWbmhWgByq3Lz00oMxAHdgeQecqb4bdnntNjPoaQpL+A5j8rb1Nq3TYQrKveu9TPD4YPV1rTCSGEaBjrrJntlZVGLoscgO8eZQa+IK6DvTpbVmoKOaeUVV4devVrVok8VKlk76L4XXZFBtuyf+FMeVq9i8EJIYS7SDIvxEVsZEwMgSYT9xUWEms0YjArhT+efOEIqSk+tGpTTk5mlT3zUTEE/vQtAHkduzZJzPVVrM8DIETnutrwuS17hBBCnL+11krd/ctKsRi8mbzoLi4hhmltf7OPObDlV/vjboOaXwG52pbZt/Jpy2PdXibUO0y+Q0Sz5efn+ibZDz/8wBVXXOHGaERTkI8nIS5SuWo1a318lGq9G59nU/Kn3Nzhdq6Pv5FufYpok1hGUbGWbGsBPL/AILx9/dj6j+kcvOkOzBGRtbxD0zIBX0cFcsRwGRz/NyFe1ZP548ehoEBpuSOz80IIceGKVSo2WxuS9yrOJfW4NzszE0khhHsTzq702r95o/1x14HNL5lvX1rJuPR82pXpnb4e6hVJ5v8eJOmMP5sD4PLL3RygaBJ/t93HVfeEnytGLnxaBEnmhbhI/WpN5BP1enJz/+JUSTomy9k9pCaTCn1lBfk5WQBEWCvZo1JRHNcBAht/v+yFKNeo+T4yACLvgB/GO11m/9FH8PHH8PTT8OKLTRCkEEJcZPQqFd32r+GETyApKXvoGDOIlRGPYMwqp6D9lQAY9JUc2r4FgMCwcGKb4batVpVGWlWW0KrCdW2F3du9OHxQw4P/cGNgQtRDhw4dmjoE0cQkmRfiIrXBuqfx0vJydpYqfX7DvSM5neZF2glvfIOM5OfutY+PaBV79uC/Qel3W495laEci9noNJn394fYWGjTxt3RCSHExSnUbKb8pxkUFp/AfNn/4R9g4Nrwn/ArOM5/290LwNHd29FXKH2tu1x6ZbW2oc2Jqzr1Rwr3cemtx7ne0IfevYPcGZIQQtSZJPNCXKQ2WJdB9q+o4LvSDAAifCLZ8k0oy1+Lp//gXOIS3rePb9+lB70/Wk5wylEO3n0/mZc27/6b5db9jurKYkw4L4D3+OMwcybExbk3NiGEuJh9PXg5X+btJiG4C6hU/PGfd8goDMHi7w/A/s1V98sPbqIoa6euYUX1f08s5zfVdywYvIi2bR91X1BCCFEP0jhTiItQhkZDkk6HymKhR0kBuRW5gJLM+/oZad+phFZtKkg+sMd+TELXXrTZ8ivtft+Ad2FeE0Ved2Vq5ePLUuG6mj1I8TshhGhokQFtuar1EPw8/dnySwhHD/ph0ujslez3W4vfqVQqulzaPAtw7Qj0ZmOoLxk6518ShdbiquG+rourCiFEU5PLXCEuQr9Yl9h3r6ykvEQpcOel8cJP68/wm89w3ZgznMrwYvodyjJ7Hz9/2oZFEHr8CACZl/RvmsDrwTYzb64lmddo3BaSEEJc1L719eWIVsul5eXo9XrKy9TMf1TpfLLop5P4+UL+mUxOJR8CoG2XHvgHhzRlyC79FO7PMV8dbcoNRFdW3zefV2CAtAF4lLZuguiEEKJuZGZeiIuQbb/8gIoKMqz75SN9ouz7Fk0mFWdOpVJcqCTCHbr0JPrQX6gsFgpbt6U8vHlXsgcos+6Z1xn0BGiDCfIMdXhdr4c77oD77oPy8qaIUAghLh4WYG5oKE9ERPB0yX5Si1MpKtDSJySJ9toTdNn/MwAHtpxtT9ecl9jbbgj7uWhNl5fcEVb8yWvT+7ozLCGEqBdJ5oW4CFXdL59RZb88gMkEJrOa5P177OM7dO1J1F+7ATjTu597gz1Ptgux/gGX8PMNJ/Dy8HZ4PScHdu+Gn34CL6+miFAIIS4ef3h5sdvLCwzl/PrdBDJLM4hsVcn6yDEcNcTbx+3/Y6P9cdeBVzZBpHVjuyHsZ6yezBfrCyitLIOAVNrHyyJW0TzExcWxaNGiCz7PqlWrCAoKuuDziOZBknkhLjInPDw44emJh8VCn4oKTltn5sN8Ijid6sXtV17KP+d04EiVZD6hay+i9ivJfGbfgU0Rdr3ZknlfoxmNuvpa+sBAWLIEFi2yb+MUQghxnpYEBysP/voIVXk+CUEdwWzG90QqAAXxHTCbTBz8cxMA3n4BxHfv3VTh1qqshpn55KL90OVLWs8ZzNdrmn93l+YkMzOTadOmER8fj06nIzY2llGjRrF+/Xr7mIZKSv/uUlJSUKlUNfaKr2r79u088MADjRtUA3ruuefo1avXBZ9n6dKldO7cGW9vbzp27MgHH3zg8PqqVatQqVQOP17nzOK89tprREREEBERweuvv+7w2tatW+nTpw9Go+s2lc2Z3G4U4iITZjKx+vRp9ul0+Fos9mX2YV7h7PwjmJJiLTlndOScUfbLe2g9+f/27jw+iiJ//P+r58o9SSAhBwnhDlc45VYBuUUWVr8KLOuii6irrPf5W0HRj4KCyiEignJ4gLiIrhcKKKCAgBzKfSMgBAjkvuaq3x+dmWRIAgkkJBPez8cjjyQ91d31np7p6uqqrmqU0IiI/bsBSG7vGy3z7gHwgp0uDCWcyoKCoH9/qFv3audMCCFqlhMmE0uDg/V/Ns4gwVofozMY7Xgyprw8nGYzmXXrcWTXb+RkpAPQosv1GKvpCKR2DWyGwhvCFzqQsQOAlrU6yLgr5XD06FG6d+9OWFgYkydPJikpCbvdznfffceDDz7I3r17qzqLXmw2GxYfmIrXnc/IyGtvMMZZs2bx7LPPMmfOHDp27MimTZsYM2YM4eHhDB482JPOarWyb98+z/9Fp8P8/fffGT9+PF999RVKKW655Rb69etHUlISDoeD+++/n3fffRdTNT1fXYq0zAtRw4QoxbCsLP6ZkQHgqcxHBkZx8+2neGPhdnoP2cOZk8cBaNC0BdbsDM41bk5mdCyZcQlVlvfyMCtFQH4OPxycy1u7Xig1nVyICSHElXk7NBSnplH3zD44s4Mm4c344as6DL1jMP/h/0iv1wBlMrF15beedVp261GFOb44d88uTSmCSmqZT98JQJuI6vW8fHYZf+wXrGcvx7pX4oEHHkDTNDZt2sRtt91G06ZNadmyJY899hi//PLLFW1b0zRmzZrFwIEDCQgIoGHDhvz3v//1SvP000/TtGlTAgMDadiwIePGjcNuL3w33C3Fc+fOpUGDBp7W2+XLl3P99dcTFhZG7dq1ueWWWzh06JBnPXcL+pIlS7jhhhsICAigY8eO7N+/n82bN3PdddcRHBzMwIEDOXv2rFee5s6dS/PmzfH396dZs2a8/fbbntcaNGgAQLt27dA0jZ49ewJw1113MXToUF5++WViY2NJTEwEivdoSEtL47777iMqKgp/f39atWrFV199Veb39PPPP6dJkyb4+/vTv39/jh8/7vX6rFmzaNSoERaLhcTERD744AOv148dO8aQIUMIDg7GarVyxx13cPr0aUBvLZ8wYQK//fabp7V8/vz5KKV44YUXqFevHn5+fsTGxvLQQw+VmscPPviA++67j2HDhtGwYUOGDx/Ovffey6uvvuqVTtM0oqOjPT9RUYVjP+3du5fWrVtz00030bt3b1q3bu25sTR58mRuvPFGOnb0jYaskvjmLQghxEXlaxrOgr9P5RQ8Mx9QB6MRGjXPZv++nz1pG7dsQ1Z0Xb6c+j5aqNVn+qTfmpxO8E+zWbLrZU4n/K3Y6wsXQocO0LhxFWROCCFqiFxN492C52uz1k0CoGNUZ35ZaiXXZiGIbM62bENedhZrP1sE6D2+2vToU1VZviR3F/sApyqxVetgxk74bAGr1wxgXyIU1KWqXHAZ070FPFjk/3eBsWVcV5UrR4XOnz/P8uXLefnllwkKCir2+sWe0b7rrrs4evQoq1evvug+xo0bx6RJk5g2bRoffPABw4cPZ8eOHTRv3hyAkJAQ5s+fT2xsLDt27GDMmDGEhITw1FNPebZx8OBBli5dymeffYax4G5/dnY2jz32GK1btyYrK4vx48fz17/+le3bt2MwFH5Cnn/+eaZOnUq9evX45z//yd/+9jdCQkKYNm0agYGB3HHHHYwfP55Zs2YB8NFHHzF+/Hjeeust2rVrx7Zt2xgzZgxBQUGMGjWKTZs20alTJ1auXEnLli29egmsWrUKq9XKihUrSnwvXC4XAwcOJDMzkw8//JBGjRqxe/duT0yXkpOTw8svv8zChQuxWCw88MADDB8+nHXr1gGwbNkyHn74YaZOnUqfPn346quvuPvuu4mLi6NXr164XC5PRX7NmjU4HA4efPBBhg0bxurVqxk2bBg7d+5k+fLlrFypD44ZGhrK0qVLefPNN1m8eDEtW7YkOTmZ3377rdR85ufnF+syHxAQwKZNm7Db7ZjNZgCysrJISEjA5XLRvn17XnnlFVq21GfaSEpKYv/+/Rw7dgylFPv376dVq1YcOnSIefPmsWXLljK9Z9WVVOaFqEEUoAE5BRVyVaSbvXsAvLx8AweLzi/fquCZRoOGCvAeRK666xw7mNb+TWhWu4XX8pMn4eWX9fsSyclQp04VZVAIIXzcopAQzhmNRORlkrLjA8L8wukScz03vrCbl34cRv3s/fw+YDI/f/4JuVl6j7Aug/5KaO3q2yXYXZkvqVU+05ZGctYp2DeETfmh2C9s5hYlOnjwIEopmjVrVu51Y2JicLlKnlWgqNtvv5177rkHgJdeeokVK1YwY8YMT2v3c88950lbv359nnjiCRYvXuxVmbfZbCxcuNCry/ptt93mtZ/333+fyMhIdu/eTatWrTzLn3jiCfr37w/Aww8/zIgRI1i1ahXdu3cHYPTo0cyfP9+T/vnnn+f111/n1ltvBfSW+N27dzN79mxGjRrlyUPt2rWJjo72ykNQUBBz584t9TGAlStXsmnTJvbs2UPTpk0BaNiwYYlpS2K323nrrbfo3LkzAAsWLKB58+aeGwxTpkzhrrvu4oEHHgDw9K6YMmUKvXr1YtWqVezYsYMjR44QHx8PwMKFC2nZsiWbN2+mY8eOBAcHYzKZvGI7duwY0dHR9OnTB7PZTL169ejUqfTpkPv378/cuXMZOnQo7du3Z8uWLcydOxe73U5KSgoxMTEkJiby/vvv07p1a9LT05kyZQrdunVj165dxMXF0bx5c1555RX69u0LwMSJE2nevDl9+vThtdde47vvvuOFF17AbDYzbdo0bryx+g7cWRKpzAtRgzwbEcFRk4l/pacT43CgULzW/XUOZxxl/bIO5OdYSOqc7hn8TtM0GjdtgTk7C3ut6jkX8MVE+8cQERlF/fD6Xsvz8vTn5ZWSirwQQlwuBUwvaFEN/e1jUpSTvgkDsBgtmLIziexbm4DfgjjevhMr/+9Zz3p9/35P1WS4jC5WmT+QsQMMDurcN4r/5/i82rTKA2SVMd2F1b97gbsqNivFKHW5bfp65aosunbtWuz/ooPHffLJJ0yfPp1Dhw6RlZWFw+HAarV6rZOQkFDs2fMDBw4wfvx4Nm7cSEpKiufGwrFjx7wq861bt/b87e7GnZSU5LXszJkzgN7af+jQIUaPHs2YMWM8aRwOB6GhoZeMNSkp6aLP82/fvp24uDhPRb68TCaTV9fyZs2aERYWxp49e+jUqRN79uwpNthe9+7dmTZtGgB79uwhPj7eU5EHaNGihWcbpXVbv/3225k6dSoNGzZkwIAB3HzzzQwePLjU59XHjRtHcnIyXbp0QSlFVFQUo0aN4rXXXvP0mujatavXZ6Nbt240b96c2bNn89JLLwFw//33c//993vSLFiwgJCQELp27UpiYiKbN2/mxIkTDB8+nCNHjuDn51eet7NKSWVeiBrinMHAW2FhZBsM9M7JIcbhwKAZ6JcwgLO5qdz+YDynTgQwJngnxw/vByA2oRH1Tp9k8KP/5FSHLiyfs7iKoyibU34mgh0uatnsJY5k37AhzJgBjRpVQeaEEKKG2GGx8Ju/P/4uJ4fX/AeAfgmDAHBYQ1j3wDM4wyPY+uNyUgrGYWnZrQd1G1ejGnAJ7JpGoMNFdF7xZvcDGTtBg3atzUz9BxT04q0WindeLxtzwU9latKkCZqmVdkgdxs2bGDkyJFMmDCB/v37ExoayuLFi4uNXF7SIwCDBw8mISGBOXPmEBsbi8vlolWrVthsNq905iIfBvcAaxcuc98IyMrSb73MmTPH0/rtVpau8CXls6gAH+tJ6RYfH8++fftYuXIlK1as4IEHHmDy5MmsWbPG6710CwgI4P3332f27NmcPn2amJgY3n33XUJCQkodENBsNtOuXTsOHjxY4uspKSlMmDCBtWvXsnHjRpo2bUqTJk1o0qQJdrud/fv3e92kqe5kADwhaohp4eFkGwwk5edzY26u12vZjjzuGH2cLr3OYfFfjyoobJq20qekM7hcOHxoMvaP64bzWMtY3mMP3534lDO5p4qlCQoCg5zhhBDisrW22dhz5Ag9t3yEyj1H28j2RBjrM3ZYW96fWp88px/KZOT7D+Z41ul355iLbLF6aJeRy9RdfzL26LlirymlCLPUpn30ddWqIl/d1apVi/79+zNz5kyys4sPpZeWlnbF+7hwEL1ffvnF87z8+vXrSUhI4D//+Q/XXXcdTZo04Y8//rjkNs+dO8e+fft47rnn6N27N82bNyc1NfWK8xoVFUVsbCyHDx+mcePGXj/uge/cLe9Op/NimypR69atOXHiBPv377+s/DkcDn799VfP//v27SMtLc3zfjZv3tzz/LzbunXraNGihef148ePew2at3v3btLS0jxpLBZLibEFBAQwePBgpk+fzurVq9mwYQM7duy4aH7NZjNxcXEYjUYWL17MLbfc4jWeQVFOp5MdO3YQExNT4uuPPvoojz76KHFxcTidTq9BEh0Ox2Udj6okLfNC1AAZBgMzCrpCjklLQwNScs8y6ddXGFh/EA3CEhl422k69Upl0bubPOs1btmW2B++AXxnfvkso4F9wX4oTWPL9tf4+uRqWkd2oE6AftI+ehTCw+GCx8+EEEJchgi7jd9WPwNA//q3sPnnWhzcE0LOWRd978rk4PZfObxjGwBxTZvTossNVZndMrM6XISVMC1d1MEn+cuJcdwxKLAKcuXbZs6cSffu3enUqRMvvvgirVu3xuFwsGLFCmbNmsWePXtKXO/ZZ5/lzz//LDZ/+IU+/fRTrrvuOq6//no++ugjNm3axHvvvQfoPQOOHTvG4sWL6dixI19//TXLli27ZJ7Dw8OpXbs27777LjExMRw7doxnnnmm/MGXYMKECTz00EOEhoYyYMAA8vPz+fXXX0lNTeWxxx6jTp06BAQEsHz5cuLi4vD39y9TF3yAHj16cOONN3Lbbbfxxhtv0LhxY/bu3YumaQwYMOCS65vNZv79738zffp0TCYTY8eOpUuXLp7n15988knuuOMO2rVrR58+ffjyyy/57LPPPIPZ9enTh6SkJEaOHMnUqVNxOBw88MAD9OjRg+uu02eBqF+/PkeOHPE8EhASEsKiRYtwOp107tyZwMBAPvzwQwICAkhIKHkmpf3797Np0yY6d+5Mamoqb7zxBjt37mTBggWeNC+++CJdunShcePGpKWlMXnyZP744w/P+ApFrVixgv3793vW79ixI3v37uXbb7/l+PHjGI1Gz+wBvkLarYSoAd4ODSXNaKSpzUbfnBwAvjryJV8e+YIZv01D0zSUgrx8Iwd3FY4a2i3ESvzm9ShN4/gNN1VV9stle2gALk2jQU4+OWf1WML9Ijyvv/QSdOsGX35ZVTkUQgjf5ATG1a7N2oAAFJBsNLLs9DpO5ZzCagmle+wNdOiaylstXmJSyljaLp7Hig/netbv+/d7vOZ3rs4CS3heHuCzRaEsnGNlzY/S3lVeDRs2ZOvWrfTq1YvHH3+cVq1a0bdvX1atWuUZ4b0kp06d4tixY5fc/oQJE1i8eDGtW7dm4cKFLFq0yNMK/Je//IVHH32UsWPH0rZtW9avX8+4ceMuuU2DwcDixYvZsmULrVq14tFHH2Xy5MllD/oi7rnnHubOncu8efNISkqiR48ezJ8/39MybzKZmD59OrNnzyY2NpYhQ4aUa/tLly6lY8eOjBgxghYtWvDUU0+VuVU5MDCQp59+mr/97W90796d4OBgPvnkE8/rQ4cOZdq0aUyZMoWWLVsye/Zs5s2b55k+T9M0vvjiC8LDw7nxxhvp06cPDRs29NrGbbfdxoABA+jVqxeRkZEsWrSIsLAw5syZQ/fu3WndujUrV67kyy+/pHbt2iXm0+l08vrrr9OmTRv69u1LXl4e69evp379+p40qampjBkzhubNm3PzzTeTkZHB+vXrPZ8Nt9zcXMaOHcvs2bM9rfpxcXHMmDGDu+++m5dffpkFCxb43CMMmrqSESt8VEZGBqGhoaSnpxcbGOOKXGZXFyGuRI6mUb9BA86aTLx29ixDCp7T2pu6hyX7FxNhbkjIsTto0S6TjGzFQ7f1xJafT+06MWxp1JSEDWs43HcQP04uvaCtTqY1iGCHNYCRx8/x8fuRKBTrhiYTERCFwwG33w67d8O+fXCZ48IIcc2qtPLxau/v8GFwOCpue9eAZKORO6OjWRkURJTDwcrjx7EAL/wyjkX7P+LWxndwb+uxmDIy6dlrKEa7nbkz5nHvQ/9EKUVoRCSTvlmP2VJ9B46ya/CbNYD2aXnUyy/+vLzD5eSnFVbW/1CLpZ+aKOWR3Epnt9s5e/YskZGRJT5HfC3SNI1ly5YxdOjQqs6KuEZd7e9lWctHue0ohI+bGxrKWZOJBLudQVmFY902C2/OYx2e5qvv4PnHWhAdl8uIB97Hlp8PwC3x9UnYsAaXwcDWBx6vquyXS45BY3ew/mx/+9PJfFQwI26onz4Sv8kEy5ZBbq5U5IUQoqy+DwzkzuhozphMBLhcPHn+vGdE9Oc7v0jvev0wGf1wuSBq1VqMdjvnGzbhnS8+9YxiftPwu6t1RR5gZ0gA79SPoG6unbm/n+DCPgRLj77L/ywL+ff4h4mMfLbEbQghRHUi3eyF8GH5msbk8HAARqenF7s7l+XIwZZvoG5CDomtU/l45mue10bb9Er9oQF/Ib1B46uV5SvymzUAp0EjLteGNV0f9C7EHIrZ4H2HtMhMMkIIIUphR5/StH9cHGdMJprl5/PfkycZXGQAM03TSKzVggBbPcYOa8f2j/QW7S/Da7NlpT7min9QMD1u/3tVhFAuv4Trz8F3SsspVpEHOJC+k3P5p/G3yOWx8F0DBw4kODi4xJ9XXnmlqrMnKpi0zAvhw6aHhXHCbCba4eCvmZkAOF1OXt3yCjfF9SEyuC439Muja+9zTJ0wl9N/6s+kNWyWxL6Xp6PW/UDy9T2rMILy2RqmP8d0/bls0u3nAQiz6M/LO5366PVBQVCGWV+EEOKa5QT+FxzM/9WqxdaCmUz+lpHB0+fP41/Q0r72zzXUCahDk7BEcpx5LF2QwOF9wbzAv7idt5iwRR9ZXNM0Rv/fVIJDw6oomrLJMWj8ZtXLkD4pxWds37vTj+tOzebvvbYyMKnd1c6euIRr8KngyzZ37lxyL5jVyK1WrVpXOTeiskllXggf1tRmI8Dl4oG0NE+XyA3J61mwZx7LDn3GhwOXYjFa2L5pF6u+0EeJNZkt3P34eDSLHwf+39/B7BungTyDxs4Q/aLzxtQckm361DHhfvqgKUuXwsyZcN998MILVZVLIYSo3n4MCODeqCgOFkyLZXU6+b+UFPoXDJ4K8NvZ7YxdfT8Wg4XpN71LTFBd/vHAUYJ+/o3H9z/NVmwcKUg7/KkXaNerXxVEUj5bwgJxGDTic200zLEVe33pIis/rQrm3nO1uK/n5c7oLkTVq1u3blVnQVxFvnEVX425XHDsGGRmQvhZiI29unNbu1xw8iRkZ+stkle6/9K2Z7PBqlVwKhlioqF3b/355AvTQtmWVWQeo6MhORkysyA7C4KCISQY6tSB33+Hc+egVi2IiIDjx0EpCAyE4BA9XXQ0nDqlj5d05gxkZIC/v/7Mdbt2el7//BOOHNH3nZ2tL4uMhLZt9Txt26aPf5iXBw0bQuPGULduyXGWlv/sbLBYCgdvU0rffuOCHvBHj0JKir6+wQC1a0OdgGwmhZ4gPM/J7/4QGADz93wGQPT2N5i1LZEBd+zjjfGveO5qD+01kgBzLOey/ch1mPD3h1q1wXCVByB2KTh/Tn/PypKHHSH+2A0GovPsNMixsc9Tmddb5v/4Q38fC4YEEEJcg9xlct4+CPa7dHlT1jK0aDr3efr0af3v1q31MjIoGIIL6oA5OZcu79zbzMyCrEx9HdDPh3l5ehmQnQ2pqRAQoG8rO1sv1wASE+Gmm/T/t2zRl7VtC5qml2cllUcuFzhPOjkYb8FqdzIkOZN+hzPIOezkwxOQnQNxdQH/hsSQhNEVwJ5fozhoBJdNcac2iZbs5m8FMVw3aDSNu93Npk2QlQV+FqgdCUGBep4ru2wpTzni7mJ/09msErvYN060cXCvnTv/UfIo91VBWqOFqD6q6/exWlTmZ86cyeTJk0lOTqZNmzbMmDHDM89hST799FPGjRvH0aNHadKkCa+++io333zzVcyxbs8efbCtvXv1gqS+TS84+/aFRo0qf/+HDsGKFXqhnZ8Pfn5Xtv/Stpefr0/zlZKid2U2GiE0FFq0gJCQwrTuqTHT0y++rCLzaLPp773TCefP6wOfBQTohXpamv66w1F4YWQ06r8NBggLg5gYfTspKfpPfn7h6wEBEB+vX0CdPKlfuGVl6a+bzXrs4bXAbtNfK7qPqCj9Imv4cO84S8u/v79+Q+HIkYLtFKQ3aPp7ZjaD3a7/uAquM4xGcNQ1oYU40Qz6BRyB59nb5ztIacn+JXezH42fVi8i66zevb6DfyNe+mktIWu+5cF20znYtAtWK0THQPv2+vtxNZw6BVu3QvIpsNnBYr50HvKMBqx2J9efz0YD0m3ngMLK/BNP6BesTz55dWIQQlQvRctkawoEWi5e3pS1DC2abv9+/cahu6xwn/ODg8Fq1W9yWyz6zePatUvfv3ubv/2m/52aqpdVLlfhI0Pu/0E/v7tchWUD6OWDu0xzuQryA2gF6dHA1tkfbXAA/9ybSrdusPsA7DnjpOvPpzH/nMuBc4rN6ZCfp1eMFS40DIAVW8hUclJr8Y7Tgjl4LVknP+S1tHX0B74BjLUHsDvjObZP1PPsvs41GSHECvXq6fFXVtlSnnLkvNnIvoLBU3ufK+xi73SAseBKOKrvQnr02Epu7TuBvhWf4XIwFjwrZrPZsFgsl0gthLgabDa9R4+xmj3LWeWV+U8++YTHHnuMd955h86dOzN16lT69+/Pvn37qFOnTrH069evZ8SIEUycOJFbbrmFjz/+mKFDh7J161ZaXcVRr/bsgenT9QpgfLx+Bz7whH63/tQp+Mc/KrdCf+gQLFyoXwDExOgVz9zcy99/adv79lv9NdAvViwWvfXgzBk99g4d9ILz5Cn44Qc9XYfroEGDkpdVZB7z8vSCPCVFv+ixWvUK9rlzeis26JVkpfQLL6dTv8DxKxhs112Bt9sLL0TcFyMul57XffvgwAG9JT8vr7BV3OHQW/DPni2s/BuN+m+nU28h/vprfftjx+pxXpj/3Fy9RT8tTd/n+fNgLzKTkoZ+cZWbp/8A2OuaOPdSbSKfOIvNpOGyaGj5gF8m6YnzSU98D2XMwxyUgV/UV+SlZ5B19hmigf/DwN15hzGgSDNa2W6rT955sIbCsT/g3Hno26fyK/SnTsGKlZCdqd8MqeWnH59L5eGG89nclJKF1aFf3R7eVRvWjyf8vmz8/fWbLtK9Xohr04VlcpwV8rNLL2/KWoYWTZeWBgcP6uf/og00dod+wzonR7/xarUW9J6KKHn/7m0eP673+jp/Xi838vMLK++uCxuASmgQcilwFZQZBg1cBrA3MZPbI5CcXgHk9QzEEa1f5i3qkcPyXQ7qNDYQXhsCV+boMaWDQ9nIrbuGrIZLUeZMolZ9hCPgLLbck6Qf6QyY0HgJhV6gfwMQ1AFnvWnk5BS5qC1o7nY49ffj+Am9fK2MsqWs5Uim0cDa2kGsrh0MQMuMPOrY9Hm4t27yZ9rECCZMOU2zVja2Zi7n+8Pf0Ta2JX0bVW1l3mAwEBgYSEZGBgAWiwVNu8rd54QQgN4ib7PZyMjIIDAw0DNHfXVR5fPMd+7cmY4dO/LWW28B4HK5iI+P59///jfPPPNMsfTDhg0jOzubr776yrOsS5cutG3blnfeeadM+7zSeW1dLpg0Sa+ItWgBmzfP5EyAjbwQMxa/TFyOVIKDIS4eUs7VAyC4zlkwKwwuJ9bfzpKfGkaIXxbtQhwcrl8fZTCwIz0EJ4q6tfMILKhxns9wcS7LiMWSS13nXkJTz6KATb825rzRiqEDKHNB6Z/nDzlW7LY8mvk7aNxEr7zuyQgi8OCfNK6VTViwvt09wXU4kR+I2ZRPaOhpjh/Xu6i7iMXlNKEFp6LMdv7ckYVxVypBRGI25xGR5yK9WRxOJ2QGBaH8NOIi88lItZCbC8roxBxkIjjYQcCBX3Ck6P0GnaoehmbxOOs6cPnlk50NVn8TEYG1MGouWlozMaJfFPyRasZ04DRRYbnE1PLDBeyJjmfrbiP5uYrIyOMFxxEyMyOxOwOwk4ErIA9rylky92cQkFsXg9FFiJ8LW2wdNANk+/uT72dCs9swuszk5+lzyvqHm1BA2O/f4y4rbfYoclq2whmQQ56xYBARl0aw0iedDclIQ7PrF0n5mTZcp7MwuvJxZJpxhfiT3TQS/1pG/CwQX/dP6iU4OX4cUs+HYTBa0fzySLNl4Pr9DwJdNvJO1kUpA+YEPwwREbgCLeSEBZEfHoQzOpj8xHgcbWNR8WEAmH85TJ0Hx6ICMskPT+Wc1glS7oOENdDsPVjrgDMOBriiicbI6PyzxNv1O4pfqa68EjmKZL9oAiwRxDbViG9h4I+jqUREuujey47FTz8t2PMN5KSbMFoUIWF2wgruSmakmHHaNUx1gwkJCQEgN9fB6TPpGE0a8XULB1g5mZyGlm2jdlA+Jn8Xq3+EP5KNBEQFgVFhCXWgDBrKqHHyXACB0RaadPXDGR5IlsnAX7edZ8MKOwEGFyOGmHBfOg4dqpGXXJ++963ku1l9kOscIa6cL84zX7RMdjg+5KTzFNm1AjGZcwkMOENOtn4zOjA4FpfLRGDtc/yR7CQjE6IPnEJLD8doyqOpI49zTeNItVnIsgYRFqWRk5pPZpoFqxUOHHGi+ZlAsxGYsQ/zEX1GjXxbfRxBVnJa+qP8bJhMYFIWAlUYwcEOwtJzqBVqoHETOJQdyKmfzsCZNOzZ/voN5cRauBLCUMqB2XxKL7g1sDmjcZkCsPvl4PBzQlYufmv3EmSPAZxYXfmcmn4n9vha5NWrjTM2FMwXtBjl2/H/cQ/h771NwB+HCQhxkpUXR4Y5mvy40+RHHMQZfQbyI+Cn/w9cFm5Oe5Ju5zJoi4uF2gSsp1KIMrzKy3kpYIqEtk9DnZ5gsIDF5qnE4zTqPyYXmBwYc53EhzsxuyzExsDgYaE4A/Wu7mnpeaSlZRMYbKJO7VBPdo8eOw9KERuchaWguSkv20hKvh9aEARYnbgU/PILHD9iISxcI8gagMkciNOkYc/IJ+WXVOLqaYz8ezjLo0L4LCYMAEumk0d376JFrl5B/mxePb5YWI/u/c7w0ju7uHPZnfyZ+Ser/rGKmxrcdFmfxYqklCI9PZ2cImMZCCGqTmBgIKGhoVftxppPzDNvs9nYsmULzz5bOJenwWCgT58+bNiwocR1NmzYwGOPPea1rH///nz++eel7ic/P5/8Ig/Suu90Xq5jx/RufPHxepn788+vkPXdLlTXsEuv7HJC4ndw8GYIP4BKbYrB6USV5S7PkR9hYUEBs9kBbxjhkZKT7r9wQVOIMI0hZY9+04T0PLCWYT7Y9GPwl3mcW/s8mLOYfPPfufXzt7ySnC5t3W8fgk0z9L8npcDS2tCy5KQriv6TpyBAI7DhAnIO36UvK3LP6eBFsnt+xyJ4422Y/xGg6P7Np6wbeMdF1oDMgt8pE/5duHDWVvi6HVzwFrmL1DNFlhl2ZeNqFYQxcitOWwe48xF48/882z0BlPxpBj4eBAe+gRdcgIb/zrPk1Ym8aH4B7FpD/myuoMnP+oJVL8P6zkBn4ClPuuUFv+cXXfnx/fBGU0j4CVd8BCd7hXBgRCgQyyFgY2k7zToNr0frf8/eDKc6YMrKwxHkf/HMtoiF8cDe/wctl+rLWo6H+yeUusqBIn83TTvD0lcbQegf/H2IC5NZ4eenyGvwOdSqx003K6nIC+EjKro8Bu8y+b//ncWpyfNwDGtapnWP9n0btj4A/qn8lFeLoLVZ5ASVYfCzc/vhrUT971cyYFAIvF/GDN8JIadmkHn8IQAMn5/GlVC8J2Ix+Znk/uNO0pZ8ADiZ2aEeQ//21sXX8TOTN6A1p3Jz4PeCknb6PrinKbxa8irf0E9vfQcM2TZcwRaCmtoh1wERw+HL+hBtLnnlIpzrXuXo98/Ciy4OAKrvWtZed+PFV2pRMNDOhC54SqP1j8Ijb0DPIuk6lLx6wPpz5D5ej6PNVjJwYDi9DVnsCfZn7xN52BaE8epd/4CY3woyOAC69mFdx+e4aWGeZxvtY9pfMrarQdM0wsLCsFqtOJ3Oqs6OENc0o9FY7Vrk3aq0Mp+SkoLT6SQqKspreVRUFHv37i1xneTk5BLTJycnl7qfiRMnMmFC6RWH8srM1LtcFy3vNYerjAMjKNAcgEIzOMgFNJcLVZbaiMtR2NVOc4HDUGLXu9JoFBYGmrOM+XU5QXPq+TY4sbsfzCsLl7PIw99OsKuy5begf6GmFelzXuZ9OkBTen5RaEUf5LsUr4cRHe4HCC9Jcxbsy6DPvUt59ul5CFJPb7TZQCk0pVBohft3FTw86XIB/pAGuAxoLr1RRNXehcr9i/65MBYZpdfhB2homgOFSd9elglMuaC5MJ60oqX6YbApXM6Cpy2NNn07AMoITrP+vzMfP6NecbeZ7ShTLianC2NBrE6nwmHTQFP4+xd+nvPyXKCcmExGNIM/Tgcop0JlKP29spzXPysuB5wOgZMBhAf9yV9a1aWdw0HjerAg8Ss06yk6Jt3uGUzqtkc28OvJGQy74ceyvddCiCpX0eUxFC+Ty3Xed5dvml4eG8q6rld57CxzeaGvCxpFyjdHWfapwJFXcG5WoCnMGRkY7XY0pXAoEygNcIIqKIswgHuek4LyWAOUORscLv3Gubu8UIBTP7+byUMBLjRc+RqYcsk2NYP8m+BPIEeDXPcD8oWVYFwm/cfgBIMdHIDLXy9vgFpGf/wK4rTbFS6nBgYXfkXmdM8v2JzZaMaAnh+HScNpc0Kuu3wreK/zA8GpYTLbMCszRidYsp3kBp/CaM6ljTmEpLrwV0ceiTu/ITvRgMlsxmAquAHdfLX+A1Cwr1ub30qYf9gljsXVZTAYqm0lQghR9aq0m/3JkyepW7cu69evp2vXrp7lTz31FGvWrGHjxuJthBaLhQULFjBixAjPsrfffpsJEyZw+nTJbcQltQTEx8dfdre+o0dh/Hh9gBurFQ4eXI7DUVigZWfrFxd/+5s+onpFO3MGPv5Y33dBjzUv5d1/ads7dgw2bdKf/dM0vZsi6IPAeUbFdUKbNvpz6n5++vWIzVb4rGHRZUlJhRdbV5rH7GzYsUPPV2pqYbqQEP15dXe5586j2aw/5+gWFKQ/H1l0GeiDF4Ge5wtvhLsHNgJ9PdsFM9v4+RXOb+506j9hYfp78Ze/wPffF8+/n5/+nOWJE4Xbcd/Xufg3UyvyYwACMRiCMJuDsdmCMZnqomlGT3wGg74v96BN/v76e+Pnp4+m37+/vt9z5+DFF6F+/Yvt+/Jd+N25UHp65edBCFG6yu5mX9HlMXifV1JT15Kbe97r9QvLm7KWof36FZ63U1IKy0P3+CvuMsJoLPw7KEgvK8LD9XNtUpK+3L1/0PdtMum9CTIy9G3m5BRuw/3c/OUrvJmql8EaNhv4+2uEhoLZbEDTjJw8acTpNKJXZIOBkILfoXhuApR1j1rh4LDu304nxMVBz576s/MVdV6XckQIcS3wiW72ERERGI3GYpXw06dPEx0dXeI60dHR5UoP4Ofnh59fGbqUl1G9etCsWeEz840bD/C8ppQ+4E23bnDPPZUzTZ3LpV9YbNumT01TtFH/cvZf2vaaNNEHFcrI0Cvy7sq801k4grzVCgMHwoYN+oA0SumV1+7d9bQnT+rbi4/XB8pzF/hXmkfQL37c+zx/Xh85OD5ev2jKytIvquwFDRQGg37xZLfrFfKwsMKR4d0XZZpW+OP+X6nCZeBd2Xe/DoUD67lHHHbvp04dGDwYniro+V5S/hMS9NHw3Xm9GHdeLrzY0zQ9RqX0PJpMhQPzFR0N2f3bHZ/JpA8cZ7Xqx7p9e/3zXVku/O5c+Nk9caLy8yCEqDoVXR7DheeVGy9ZJpa1DHXPjLFtmz47ibvybTQWlh1Q+Ntg0M/7Vqs+oF5MjD696Z49hfsHfd9bt+rTn+7cqW8rIEAvE668Il/InZ+8PL1ybTbr75PBoJc9wcF6xbeiuMsmk0m/4W0268cmPV0fLLeizutSjgghRKEq7bdjsVjo0KEDq1at8ixzuVysWrXKq6W+qK5du3qlB1ixYkWp6SuDwQB//at+V3j3br2gchSMZrt7t7586NDKm2++ovdf2vaysvS72iaT3qLrvtDQNP11g6FwnvW4OD1Nfr4+PZjLpf92L4uL0yuQFZXHjAz9ZoPJpLewm0x6vjIz9QsUd54tFr1S73QW5tlk0tc3mfRWGZNJvzhzx+Wu5BsMhaPUW63675ycwlHtAwIKey0YDPry/Hz9N+i9BJKS4NZb9X2Ulv+jR/U5680FjyC6R9Uv6ckL9xRERWlaYf7dre3umMzmwvc4P987ToNB32/duvrFZmV/bqHqvztCiJqnvOeVsqYvet7et08v70wmvTwp+sSZ+3xqsRQ+ZRUQoJd7F55b3ft2n/PDw72noHPn73LegwuZTIXlkdWq31z289PzFRBQWP5dDne551b0Bre7R1hkpP6eREZW7HldyhEhhChU5aPZf/LJJ4waNYrZs2fTqVMnpk6dypIlS9i7dy9RUVH84x//oG7dukycOBHQp6br0aMHkyZNYtCgQSxevJhXXnmlXFPTVVQ3wgvnmff3h+bN9UKkefPL3myV7b+07eXm6t0Ck5ML55mvXVu/sAkNLUxbu3ZhK/nFllVkHt2VZ7tdnyYuO7tgmsDAwn3a7XoM7hYDd4t1REThTYhTp7znijcY9O00aqS39h87pk8hlJGhb8fduh8Zqa9z8qRe0Xe3jMfGwpAhcO+93nGWln9/f32aon379Ly6v5UGg/6au4u8zeY9z7y7dd19kWg26xdp/v6FF2k5OfqUSvn5hen9/fX4ExL0C7yr+bkt6X242t8dIUTJfHE0e7fynlfKmr5oup079elK3WWFe555qxVq1dL/9veHqKiLn1vd29y4Uf/bPU1q0Xnm3f9DkXnmi1yxuW82e80zX6Q3WdHeV0OGQO/e8PvvehxnzuhlXnq6XnaWpVeAe5tGo14G+hc8ep6To+fVnTezWY+/TRvo0qXyzutSjggharKylo9VXpkHeOutt5g8eTLJycm0bduW6dOn07lzZwB69uxJ/fr1mT9/vif9p59+ynPPPcfRo0dp0qQJr732GjfffHOZ91eRFw8ul17Ry8zUW2Lr1bu6d4Mrev+lbc9mgy++0Cuc8fH6hYHJVDwtlG1ZReYxLk7vVpeeXrgsNFS/gNm0Sb9giYzUnw0/fFhfPzhYTxMaqq/vHg351Cn9GfzAQGjVSu8aaTDoref79+sXWe4xA2Ji9AsVgPXr9Yu8nBy9+1+LFnqvhpLiLC3/mZl6pX3rVv15eqX07bdooa+3f78ei7vXQJ06+g2HnBz9AisoSN9edrb+u2DGODIzC9+blBT9vWjaVN+GO+3V/tyW9D5URR6EEN58uTIP5T+vlDV90XR+fnoX7xMn9Apkp076zdKi592ynFvd20xP13+ys/XzfmBg4c3hzEz9+e/AQP3ma2amXq4BtG6tP8a1aRP8XDCxSZcu+v727i25PCoah3sMm/R0/Uby/v36302b6nlPTdW3ER5eGIOm6WWI1VpY3gQG6jc4UlL0vxs00NcJDa3887qUI0KImsqnKvNX29W+WBFCCCF8ga9X5oUQQoiaoKzlo9y/FEIIIYQQQgghfIxU5oUQQgghhBBCCB8jlXkhhBBCCCGEEMLHSGVeCCGEEEIIIYTwMVKZF0IIIYQQQgghfIxU5oUQQgghhBBCCB8jlXkhhBBCCCGEEMLHmKo6A1VBKQXo8/cJIYQQQucuF93lZGWT8lgIIYQorqzl8TVZmc/MzAQgPj6+inMihBBCVD+ZmZmEhoZelf2AlMdCCCFESS5VHmvqat1+r0ZcLhcnT54kJCQETdMqbLsZGRnEx8dz/PhxrFZrhW23upO4r524r8WY4dqM+1qMGSTuY8eOoWkasbGxGAyV/yReZZXHV8u1/nm5luKWmK+NmOHajFtirn4xK6XIzMy8ZHl8TbbMGwwG4uLiKm37Vqu1Wn4oKpvEfe24FmOGazPuazFmuHbjDg0NvapxV3Z5fLVcq5+XazFuifnacS3GLTFXL2XpIScD4AkhhBBCCCGEED5GKvNCCCGEEEIIIYSPkcp8BfLz8+P555/Hz8+vqrNyVUnc107c12LMcG3GfS3GDBL3tRb3lbpW37drMW6J+dpxLcYtMfuua3IAPCGEEEIIIYQQwpdJy7wQQgghhBBCCOFjpDIvhBBCCCGEEEL4GKnMCyGEEEIIIYQQPkYq80IIIYQQQgghhI+Rynw5nT9/npEjR2K1WgkLC2P06NFkZWVdNP2///1vEhMTCQgIoF69ejz00EOkp6d7pdM0rdjP4sWLKzucUs2cOZP69evj7+9P586d2bRp00XTf/rppzRr1gx/f3+SkpL45ptvvF5XSjF+/HhiYmIICAigT58+HDhwoDJDKLfyxDxnzhxuuOEGwsPDCQ8Pp0+fPsXS33XXXcWO6YABAyo7jHIrT9zz588vFpO/v79Xmpp2rHv27Fni93PQoEGeNL5wrNeuXcvgwYOJjY1F0zQ+//zzS66zevVq2rdvj5+fH40bN2b+/PnF0pT3XHE1lTfmzz77jL59+xIZGYnVaqVr16589913XmleeOGFYse6WbNmlRhF+ZU37tWrV5f4GU9OTvZKV52PdWWprO9NdVZZn5/qbOLEiXTs2JGQkBDq1KnD0KFD2bdv3yXXu9S1T3V2OTGX5Rqgups1axatW7fGarV6zvPffvvtRdfx5eMM5Y+5JhznC02aNAlN03jkkUcums4Xj7VU5stp5MiR7Nq1ixUrVvDVV1+xdu1a7r333lLTnzx5kpMnTzJlyhR27tzJ/PnzWb58OaNHjy6Wdt68eZw6dcrzM3To0EqMpHSffPIJjz32GM8//zxbt26lTZs29O/fnzNnzpSYfv369YwYMYLRo0ezbds2hg4dytChQ9m5c6cnzWuvvcb06dN555132LhxI0FBQfTv35+8vLyrFdZFlTfm1atXM2LECH788Uc2bNhAfHw8/fr1488///RKN2DAAK9jumjRoqsRTpmVN24Aq9XqFdMff/zh9XpNO9afffaZV7w7d+7EaDRy++23e6Wr7sc6OzubNm3aMHPmzDKlP3LkCIMGDaJXr15s376dRx55hHvuucercns5n5+rqbwxr127lr59+/LNN9+wZcsWevXqxeDBg9m2bZtXupYtW3od659//rkysn/Zyhu32759+7ziqlOnjue16n6sK0tlfG+qu8r4/FR3a9as4cEHH+SXX35hxYoV2O12+vXrR3Z2dqnrlOXapzq7nJjh0tcA1V1cXByTJk1iy5Yt/Prrr9x0000MGTKEXbt2lZje148zlD9m8P3jXNTmzZuZPXs2rVu3vmg6nz3WSpTZ7t27FaA2b97sWfbtt98qTdPUn3/+WebtLFmyRFksFmW32z3LALVs2bKKzO5l69Spk3rwwQc9/zudThUbG6smTpxYYvo77rhDDRo0yGtZ586d1X333aeUUsrlcqno6Gg1efJkz+tpaWnKz89PLVq0qBIiKL/yxnwhh8OhQkJC1IIFCzzLRo0apYYMGVLRWa1Q5Y173rx5KjQ0tNTtXQvH+s0331QhISEqKyvLs8wXjnVRZTnfPPXUU6ply5Zey4YNG6b69+/v+f9K38ur6XLPsS1atFATJkzw/P/888+rNm3aVFzGKllZ4v7xxx8VoFJTU0tN40vHurJU1PfGl1TU58fXnDlzRgFqzZo1paa51LWPrylLzJe6BvBV4eHhau7cuSW+VtOOs9vFYq5JxzkzM1M1adJErVixQvXo0UM9/PDDpab11WMtLfPlsGHDBsLCwrjuuus8y/r06YPBYGDjxo1l3k56ejpWqxWTyeS1/MEHHyQiIoJOnTrx/vvvo5SqsLyXlc1mY8uWLfTp08ezzGAw0KdPHzZs2FDiOhs2bPBKD9C/f39P+iNHjpCcnOyVJjQ0lM6dO5e6zavpcmK+UE5ODna7nVq1anktX716NXXq1CExMZF//etfnDt3rkLzfiUuN+6srCwSEhKIj48vdmf3WjjW7733HsOHDycoKMhreXU+1pfjUt/ringvqzuXy0VmZmax7/WBAweIjY2lYcOGjBw5kmPHjlVRDitW27ZtiYmJoW/fvqxbt86z/Fo41hXlUt+bmqy0z48vcj8KeeF3v6iadqzLEjNc/BrA1zidThYvXkx2djZdu3YtMU1NO85liRlqznF+8MEHGTRoULFjWBJfPdZSmS+H5OTkYt3GTCYTtWrVKvOzYSkpKbz00kvFuua/+OKLLFmyhBUrVnDbbbfxwAMPMGPGjArLe1mlpKTgdDqJioryWh4VFVVqjMnJyRdN7/5dnm1eTZcT84WefvppYmNjvU4CAwYMYOHChaxatYpXX32VNWvWMHDgQJxOZ4Xm/3JdTtyJiYm8//77fPHFF3z44Ye4XC66devGiRMngJp/rDdt2sTOnTu55557vJZX92N9OUr7XmdkZJCbm1sh35vqbsqUKWRlZXHHHXd4lnXu3NnzuNSsWbM4cuQIN9xwA5mZmVWY0ysTExPDO++8w9KlS1m6dCnx8fH07NmTrVu3AhVzjrxWXOp7UxNd6vPja1wuF4888gjdu3enVatWpaa71LWPLylrzJe6BvAVO3bsIDg4GD8/P+6//36WLVtGixYtSkxbU45zeWKuKcd58eLFbN26lYkTJ5Ypva8ea9Olk9R8zzzzDK+++upF0+zZs+eK95ORkcGgQYNo0aIFL7zwgtdr48aN8/zdrl07srOzmTx5Mg899NAV71dUrkmTJrF48WJWr17tNUDI8OHDPX8nJSXRunVrGjVqxOrVq+ndu3dVZPWKde3a1etObrdu3WjevDmzZ8/mpZdeqsKcXR3vvfceSUlJdOrUyWt5TTzW17qPP/6YCRMm8MUXX3jdxB04cKDn79atW9O5c2cSEhJYsmRJiWOh+ILExEQSExM9/3fr1o1Dhw7x5ptv8sEHH1RhzoQvqGmfnwcffJCdO3dWu7EwKlNZY64p1wCJiYls376d9PR0/vvf/zJq1CjWrFlTauW2JihPzDXhOB8/fpyHH36YFStW+PzgfZciLfPA448/zp49ey7607BhQ6Kjo4sN9uNwODh//jzR0dEX3UdmZiYDBgwgJCSEZcuWYTabL5q+c+fOnDhxgvz8/CuOrzwiIiIwGo2cPn3aa/np06dLjTE6Ovqi6d2/y7PNq+lyYnabMmUKkyZN4vvvv7/kwBoNGzYkIiKCgwcPXnGeK8KVxO1mNptp166dJ6aafKyzs7NZvHhxmSps1e1YX47SvtdWq5WAgIAK+fxUV4sXL+aee+5hyZIll+yaFxYWRtOmTX36WJekU6dOnphq8rGuaJf63lwrin5+fMnYsWP56quv+PHHH4mLi7to2ktd+/iK8sR8oQuvAXyFxWKhcePGdOjQgYkTJ9KmTRumTZtWYtqacpzLE/OFfPE4b9myhTNnztC+fXtMJhMmk4k1a9Ywffp0TCZTiT0nffVYS2UeiIyMpFmzZhf9sVgsdO3albS0NLZs2eJZ94cffsDlctG5c+dSt5+RkUG/fv2wWCz873//K9Mdou3btxMeHo6fn1+FxFhWFouFDh06sGrVKs8yl8vFqlWrSn22pmvXrl7pAVasWOFJ36BBA6Kjo73SZGRksHHjxos+r3O1XE7MoI/a/tJLL7F8+XKvcRRKc+LECc6dO0dMTEyF5PtKXW7cRTmdTnbs2OGJqaYea9CnK8nPz+fvf//7JfdT3Y715bjU97oiPj/V0aJFi7j77rtZtGiR1/SDpcnKyuLQoUM+faxLsn37dk9MNfVYV4ZLfW+uFUU/P75AKcXYsWNZtmwZP/zwAw0aNLjkOr5+rC8n5gtdeA3gq1wuV6mNZ75+nEtzsZgv5IvHuXfv3uzYsYPt27d7fq677jpGjhzJ9u3bMRqNxdbx2WNdxQPw+ZwBAwaodu3aqY0bN6qff/5ZNWnSRI0YMcLz+okTJ1RiYqLauHGjUkqp9PR01blzZ5WUlKQOHjyoTp065flxOBxKKaX+97//qTlz5qgdO3aoAwcOqLffflsFBgaq8ePHV0mMixcvVn5+fmr+/Plq9+7d6t5771VhYWEqOTlZKaXUnXfeqZ555hlP+nXr1imTyaSmTJmi9uzZo55//nllNpvVjh07PGkmTZqkwsLC1BdffKF+//13NWTIENWgQQOVm5t71eMrSXljnjRpkrJYLOq///2v1zHNzMxUSumjZz7xxBNqw4YN6siRI2rlypWqffv2qkmTJiovL69KYixJeeOeMGGC+u6779ShQ4fUli1b1PDhw5W/v7/atWuXJ01NO9Zu119/vRo2bFix5b5yrDMzM9W2bdvUtm3bFKDeeOMNtW3bNvXHH38opZR65pln1J133ulJf/jwYRUYGKiefPJJtWfPHjVz5kxlNBrV8uXLPWku9V5WtfLG/NFHHymTyaRmzpzp9b1OS0vzpHn88cfV6tWr1ZEjR9S6detUnz59VEREhDpz5sxVj6805Y37zTffVJ9//rk6cOCA2rFjh3r44YeVwWBQK1eu9KSp7se6slTG96a6q4zPT3X3r3/9S4WGhqrVq1d7ffdzcnI8aS7n2qc6u5yYy3INUN0988wzas2aNerIkSPq999/V88884zSNE19//33Sqmad5yVKn/MNeE4l+TC0exryrGWynw5nTt3To0YMUIFBwcrq9Wq7r77bk8FTimljhw5ogD1448/KqUKp2wp6efIkSNKKX16u7Zt26rg4GAVFBSk2rRpo9555x3ldDqrIELdjBkzVL169ZTFYlGdOnVSv/zyi+e1Hj16qFGjRnmlX7JkiWratKmyWCyqZcuW6uuvv/Z63eVyqXHjxqmoqCjl5+enevfurfbt23c1Qimz8sSckJBQ4jF9/vnnlVJK5eTkqH79+qnIyEhlNptVQkKCGjNmTLW88C1P3I888ognbVRUlLr55pvV1q1bvbZX0461Ukrt3btXAZ6CryhfOdalnYvcsY4aNUr16NGj2Dpt27ZVFotFNWzYUM2bN6/Ydi/2Xla18sbco0ePi6ZXSp9mLCYmRlksFlW3bl01bNgwdfDgwasb2CWUN+5XX31VNWrUSPn7+6tatWqpnj17qh9++KHYdqvzsa4slfW9qc4q6/NTnZV2nVb02F3OtU91djkxl+UaoLr75z//qRISEpTFYlGRkZGqd+/eXmV7TTvOSpU/5ppwnEtyYWW+phxrTakqmP9MCCGEEEIIIYQQl02emRdCCCGEEEIIIXyMVOaFEEIIIYQQQggfI5V5IYQQQgghhBDCx0hlXgghhBBCCCGE8DFSmRdCCCGEEEIIIXyMVOaFEEIIIYQQQggfI5V5IYQQQgghhBDCx0hlXgghhBBCCCGE8DFSmRdCCCGEEEIIIXyMVOaFEEIIIYS4BrlcLpo1a8Z//vMfr+Vff/01FouFzz77rIpyJoQoC6nMCyEuS8+ePXnkkUcqfLvnzp2jTp06HD16tFzrDR8+nNdff73C8yOEEELUVAaDgWeffZaZM2eSnp4OwNatWxk2bBivvvoqt956axXnUAhxMVKZF0JUKy+//DJDhgyhfv36QNlbDZ577jlefvllz8WIEEIIIS5t5MiR1KpVi7feeotjx45xyy23cPfdd/Poo49WddaEEJcglXkhRLWRk5PDe++9x+jRoz3Lytpq0KpVKxo1asSHH35YJXkXQgghfJHJZOLpp59m6tSp3HzzzXTs2JFp06ZVdbaEEGUglXkhxBXLz8/noYceok6dOvj7+3P99dezefNmrzSZmZmMHDmSoKAgYmJiePPNN4t11f/mm2/w8/OjS5cuXuuWtdVg8ODBLF68uNLiFEIIIWqikSNHkpWVhaZpLFq0CINBqghC+AL5pgohrthTTz3F0qVLWbBgAVu3bqVx48b079+f8+fPe9I89thjrFu3jv/973+sWLGCn376ia1bt3pt56effqJDhw7Ftl/WVoNOnTqxadMm8vPzKz5IIYQQooYaO3YsACkpKVKRF8KHyLdVCHFFsrOzmTVrFpMnT2bgwIG0aNGCOXPmEBAQwHvvvQforfILFixgypQp9O7dm1atWjFv3jycTqfXtv744w9iY2NL3E9ZWg1iY2Ox2WwkJydXfKBCCCFEDTRu3Di+/vprfvnlFxwOh6fsFkJUf1KZF0JckUOHDmG32+nevbtnmdlsplOnTuzZsweAw4cPY7fb6dSpkydNaGgoiYmJXtvKzc3F39+/xP2UpdUgICAA0J+9F0IIIcTFzZkzh9dff50vv/ySNm3a8Mgjj/Daa69ht9urOmtCiDKQyrwQotqIiIggNTW12PKythq4u/VHRkZWaj6FEEIIX/fNN98wduxYPvroI89YNWPHjiU9PZ0PPviginMnhCgLqcwLIa5Io0aNsFgsrFu3zrPMbrezefNmWrRoAUDDhg0xm81eg+Klp6ezf/9+r221a9eO3bt3ey0rT6vBzp07iYuLIyIioiJDFEIIIWqULVu2cMcdd/Daa6/x17/+1bM8NDSUhx56iEmTJhV7FE4IUf1IZV4IcUWCgoL417/+xZNPPsny5cvZvXs3Y8aMIScnxzPFXEhICKNGjeLJJ5/kxx9/ZNeuXYwePRqDwYCmaZ5t9e/fn127dnla58vbavDTTz/Rr1+/qxC1EEII4bs6dOhAVlYWDz/8cLHXXnzxRfbv34/RaKyCnAkhykMq80KIKzZp0iRuu+027rzzTtq3b8/Bgwf57rvvCA8P96R544036Nq1K7fccgt9+vShe/fuNG/e3OsZ+aSkJNq3b8+SJUvK3WqQl5fH559/zpgxY65O0EIIIYQQQlQhTSmlqjoTQohrT3Z2NnXr1uX111/3tOADfP311zz55JPs3LmzXNPjzJo1i2XLlvH9999XRnaFEEIIIYSoVkxVnQEhxLVh27Zt7N27l06dOpGens6LL74IwJAhQ7zSDRo0iAMHDvDnn38SHx9f5u2bzWZmzJhRoXkWQgghhBCiupKWeSHEVbFt2zbuuece9u3bh8VioUOHDrzxxhskJSVVddaEEEIIIYTwOVKZF0IIIYQQQgghfIwMgCeEEEIIIYQQQvgYqcwLIYQQQgghhBA+RirzQgghhBBCCCGEj5HKvBBCCCGEEEII4WOkMi+EEEIIIYQQQvgYqcwLIYQQQgghhBA+RirzQgghhBBCCCGEj5HKvBBCCCGEEEII4WOkMi+EEEIIIYQQQvgYqcwLIYQQQgghhBA+5v8HDl03WAiKI70AAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#\n", "# plotting data and fits + full set of confidence intervals\n", "#\n", "\n", "reporting.plot_from_dataframes_full_ci(\n", " df_points=df_points,\n", " df_fit_plot=df_fit_plot,\n", " df_ci_plot=df_ci_plot,\n", " xlabs=xlabs,\n", " results_path=results_path,\n", " filename=\"logit_fit_CI_paper.pdf\",\n", " verbose=verbose,\n", " width=width,\n", " height=height,\n", ")" ] }, { "cell_type": "markdown", "id": "0f47d9ab", "metadata": {}, "source": [ "## Polynomial-coefficient (beta) CI\n", "\n", "For the monotonic cubic model, $\\eta(x)=\\beta_0+\\beta_1x+\\beta_2x^2+\\beta_3x^3$. The polynomial coefficients beta are invariant under the sign symmetries of theta, so their uncertainty is more directly interpretable than uncertainty in the individual theta components. For each uncertainty method, every sampled theta vector is first transformed with `get_beta()`, and marginal percentile limits are then calculated from the resulting beta samples. Transforming the endpoints of a theta interval would not be equivalent because the mapping is nonlinear.\n", "\n", "The intervals below are marginal intervals for the individual polynomial coefficients, not a joint confidence region. Their numerical values also depend on the predictor scale and origin." ] }, { "cell_type": "code", "execution_count": 19, "id": "73751eb9", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "method", "rawType": "object", "type": "string" }, { "name": "coefficient", "rawType": "object", "type": "string" }, { "name": "estimate", "rawType": "float64", "type": "float" }, { "name": "LCL", "rawType": "float64", "type": "float" }, { "name": "UCL", "rawType": "float64", "type": "float" } ], "ref": "59b988f2-d9a5-4947-9f58-c664daca559e", "rows": [ [ "0", "log", "FULL", "normal", "$\\beta_0$", "-40.709396914613", "-80.51482391483258", "0.5768096898392844" ], [ "1", "log", "FULL", "normal", "$\\beta_1$", "152.89836530332548", "34.45474859990287", 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scaledatasetmethodcoefficientestimateLCLUCL
0logFULLnormal$\\beta_0$-40.709397-80.5148240.576810
1logFULLnormal$\\beta_1$152.89836534.454749345.981009
2logFULLnormal$\\beta_2$-186.375741-434.565154-38.043109
3logFULLnormal$\\beta_3$75.72768313.775938183.597710
4logFULLnonparam_boots$\\beta_0$-40.709397-362.341899-14.457646
........................
59plainTRIMnonparam_stratified_boots$\\beta_3$72.2982888.284455121.892100
60plainTRIMparametric_boots$\\beta_0$-450.087847-543.464811-30.306043
61plainTRIMparametric_boots$\\beta_1$727.84772213.581994948.315529
62plainTRIMparametric_boots$\\beta_2$-395.533373-571.500600-21.861143
63plainTRIMparametric_boots$\\beta_3$72.29828811.728998112.101168
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64 rows × 7 columns

\n", "
" ], "text/plain": [ " scale dataset method coefficient estimate \\\n", "0 log FULL normal $\\beta_0$ -40.709397 \n", "1 log FULL normal $\\beta_1$ 152.898365 \n", "2 log FULL normal $\\beta_2$ -186.375741 \n", "3 log FULL normal $\\beta_3$ 75.727683 \n", "4 log FULL nonparam_boots $\\beta_0$ -40.709397 \n", ".. ... ... ... ... ... \n", "59 plain TRIM nonparam_stratified_boots $\\beta_3$ 72.298288 \n", "60 plain TRIM parametric_boots $\\beta_0$ -450.087847 \n", "61 plain TRIM parametric_boots $\\beta_1$ 727.847722 \n", "62 plain TRIM parametric_boots $\\beta_2$ -395.533373 \n", "63 plain TRIM parametric_boots $\\beta_3$ 72.298288 \n", "\n", " LCL UCL \n", "0 -80.514824 0.576810 \n", "1 34.454749 345.981009 \n", "2 -434.565154 -38.043109 \n", "3 13.775938 183.597710 \n", "4 -362.341899 -14.457646 \n", ".. ... ... \n", "59 8.284455 121.892100 \n", "60 -543.464811 -30.306043 \n", "61 13.581994 948.315529 \n", "62 -571.500600 -21.861143 \n", "63 11.728998 112.101168 \n", "\n", "[64 rows x 7 columns]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "beta_methods = (\n", " \"normal\",\n", " \"nonparam_boots\",\n", " \"nonparam_stratified_boots\",\n", " \"parametric_boots\",\n", ")\n", "beta_names = [r\"$\\beta_0$\", r\"$\\beta_1$\", r\"$\\beta_2$\", r\"$\\beta_3$\"]\n", "\n", "beta_ci_rows = []\n", "for (scale, dataset), fit_row in df_fit_index.iterrows():\n", " beta_hat = np.asarray(fit_row[\"beta\"], dtype=float)\n", " for method in beta_methods:\n", " theta_draws = np.asarray(\n", " boots_theta_results[(scale, dataset, method)], dtype=float\n", " )\n", " # Transform each complete draw before taking coefficient-wise quantiles.\n", " beta_draws = np.stack([logit.get_beta(theta) for theta in theta_draws])\n", " beta_quantiles = np.quantile(beta_draws, probs, axis=0)\n", "\n", " for idx, (estimate, lower, upper) in enumerate(\n", " zip(beta_hat, beta_quantiles[0], beta_quantiles[1])\n", " ):\n", " beta_ci_rows.append(\n", " {\n", " \"scale\": scale,\n", " \"dataset\": dataset,\n", " \"method\": method,\n", " \"coefficient\": beta_names[idx],\n", " \"estimate\": estimate,\n", " \"LCL\": lower,\n", " \"UCL\": upper,\n", " }\n", " )\n", "\n", "df_beta_CI = pd.DataFrame(beta_ci_rows)\n", "df_beta_CI" ] }, { "cell_type": "code", "execution_count": 20, "id": "8ca24f9d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "LaTeX table saved to ../results/logit_mono-cubic4paper/beta_CI_long.txt\n" ] } ], "source": [ "file_path = results_path / \"beta_CI_long.txt\"\n", "with open(file_path, \"w\") as f:\n", " f.write(df_beta_CI.to_latex(index=False))\n", "\n", "print(f\"LaTeX table saved to {file_path}\")" ] }, { "cell_type": "markdown", "id": "5ce16edf", "metadata": {}, "source": [ "## Parameter (theta) CI\n", "\n", "**Interpretation warning.** These intervals for the individual theta components are not reliably interpretable as parameter uncertainty. The parameterization is non-unique: sign changes in epsilon and simultaneous sign changes in $k_1$ and $k_2$ can represent the same fitted polynomial, and epsilon near zero creates weak identification. Consequently, Wald or bootstrap samples can occupy equivalent branches and their component-wise quantiles can be misleading. This section is retained as a diagnostic of the fitted parameterization; inference should focus on the beta intervals above or on the fitted-function confidence bands." ] }, { "cell_type": "code", "execution_count": 21, "id": "91a199e8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['scale', 'dataset', 'idx', 'beta', 'theta', 'SE', 'LCL', 'UCL'], dtype='object')" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_theta.columns" ] }, { "cell_type": "code", "execution_count": 22, "id": "18dce684", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "idx", "rawType": "object", "type": "unknown" }, { "name": "beta", "rawType": "object", "type": "unknown" }, { "name": "theta", "rawType": "object", "type": "unknown" }, { "name": "SE", "rawType": "object", "type": "unknown" }, { "name": "LCL[Wald]", "rawType": "object", "type": "unknown" }, { "name": "UCL[Wald]", "rawType": "object", "type": "unknown" }, { "name": "LCL[normal]", "rawType": "object", "type": "unknown" }, { "name": "UCL[normal]", "rawType": "object", "type": "unknown" }, { "name": "LCL[nonparam_boots]", "rawType": "object", "type": "unknown" }, { "name": "UCL[nonparam_boots]", "rawType": "object", "type": "unknown" }, { "name": "LCL[nonparam_stratified_boots]", "rawType": "object", "type": "unknown" }, { "name": "UCL[nonparam_stratified_boots]", "rawType": "object", "type": "unknown" }, { "name": "LCL[parametric_boots]", "rawType": "object", "type": "unknown" }, { "name": "UCL[parametric_boots]", "rawType": "object", "type": "unknown" } ], "ref": "533b566b-96cc-49cb-afc6-c56202a6bf78", "rows": [ [ "0", "log", "FULL", "[0, 1, 2, 3]", "[ -40.709396914613 152.89836530332548 -186.37574053397566\n 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scaledatasetidxbetathetaSELCL[Wald]UCL[Wald]LCL[normal]UCL[normal]LCL[nonparam_boots]UCL[nonparam_boots]LCL[nonparam_stratified_boots]UCL[nonparam_stratified_boots]LCL[parametric_boots]UCL[parametric_boots]
0logFULL[0, 1, 2, 3][-40.709396914613, 152.89836530332548, -186.37...[-40.709396914613, 3.3296894069464475e-07, 15....[20.369621632440168, 2.3837092286508618e-07, 4...[-80.63312169290373, -1.3422948308249956e-07, ...[-0.7856721363222903, 8.00167364471789e-07, 23...[-80.51482391483258, -4.475512960882313e-09, 6...[0.5768096898392844, 2.942177378758347e-08, 23...[-362.3418986772154, -1.2949692152748325e-05, ...[-14.457646430958098, 1.3701590772882096e-05, ...[-369.35112799570214, -1.1407057756070862e-05,...[-14.205808684448709, 1.2099347078543717e-05, ...[-310.97179686469656, -0.00022031918968224803,...[-8.945695488818114, 0.00024100793866809866, 4...
1logTRIM[0, 1, 2, 3][-318.62464734761795, 1693.4465144003668, -300...[-318.62464734761795, 1.857536200865192e-08, 7...[234.97851248295277, 1.532970540106523e-08, 26...[-779.174068955001, -1.1470308471045082e-08, 2...[141.924774259765, 4.862103248834892e-08, 124....[-776.659316527771, -3.2359097169343695e-07, -...[157.80937411584551, 1.3335259120088132e-06, -...[-400.12882726816684, -0.0002524284593495639, ...[-17.348308602211493, 0.00023446622013524818, ...[-399.0792523977072, -0.00023101563118095082, ...[-17.585934445046078, 0.0002385146247747581, 3...[-388.5011469095082, -0.0005018771370653443, -...[-23.345353280554388, 1.0302791728371788e-05, ...
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" ], "text/plain": [ " scale dataset idx \\\n", "0 log FULL [0, 1, 2, 3] \n", "1 log TRIM [0, 1, 2, 3] \n", "2 plain FULL [0, 1, 2, 3] \n", "3 plain TRIM [0, 1, 2, 3] \n", "\n", " beta \\\n", "0 [-40.709396914613, 152.89836530332548, -186.37... \n", "1 [-318.62464734761795, 1693.4465144003668, -300... \n", "2 [-123.9920841884572, 163.79348731355395, -71.4... \n", "3 [-450.08784728182553, 727.8477216066221, -395.... \n", "\n", " theta \\\n", "0 [-40.709396914613, 3.3296894069464475e-07, 15.... \n", "1 [-318.62464734761795, 1.857536200865192e-08, 7... \n", "2 [-123.9920841884572, 3.2639440210476386e-10, 5... \n", "3 [-450.08784728182553, -2.5585059183984002, -14... \n", "\n", " SE \\\n", "0 [20.369621632440168, 2.3837092286508618e-07, 4... \n", "1 [234.97851248295277, 1.532970540106523e-08, 26... \n", "2 [56.44512379101394, 1.9967245697097078e-10, 1.... \n", "3 [279.83196706304994, 1.7706624112591967, 5.467... \n", "\n", " LCL[Wald] \\\n", "0 [-80.63312169290373, -1.3422948308249956e-07, ... \n", "1 [-779.174068955001, -1.1470308471045082e-08, 2... \n", "2 [-234.6224939217495, -6.49564222629626e-11, 2.... \n", "3 [-998.5484244484021, -6.028940473245276, -25.4... \n", "\n", " UCL[Wald] \\\n", "0 [-0.7856721363222903, 8.00167364471789e-07, 23... \n", "1 [141.924774259765, 4.862103248834892e-08, 124.... \n", "2 [-13.361674455164916, 7.177452264724902e-10, 8... \n", "3 [98.37272988475098, 0.9119286364484749, -4.011... \n", "\n", " LCL[normal] \\\n", "0 [-80.51482391483258, -4.475512960882313e-09, 6... \n", "1 [-776.659316527771, -3.2359097169343695e-07, -... \n", "2 [-233.94943123214563, -9.595711131465509e-05, ... \n", "3 [-995.8284476371792, -6.031993067009147, 3.766... \n", "\n", " UCL[normal] \\\n", "0 [0.5768096898392844, 2.942177378758347e-08, 23... \n", "1 [157.80937411584551, 1.3335259120088132e-06, -... \n", "2 [-9.562456807989498, 7.713982008034643e-06, 8.... \n", "3 [117.69188624263671, 0.9254994769723235, 25.44... \n", "\n", " LCL[nonparam_boots] \\\n", "0 [-362.3418986772154, -1.2949692152748325e-05, ... \n", "1 [-400.12882726816684, -0.0002524284593495639, ... \n", "2 [-662.077284728864, -2.42017933708336, -11.027... \n", "3 [-737.8071076084143, -2.6752723009709767, -11.... \n", "\n", " UCL[nonparam_boots] \\\n", "0 [-14.457646430958098, 1.3701590772882096e-05, ... \n", "1 [-17.348308602211493, 0.00023446622013524818, ... \n", "2 [-20.9316993950732, 0.0003871658766217858, 17.... \n", "3 [-20.618997387303175, 1.0414475197170188e-05, ... \n", "\n", " LCL[nonparam_stratified_boots] \\\n", "0 [-369.35112799570214, -1.1407057756070862e-05,... \n", "1 [-399.0792523977072, -0.00023101563118095082, ... \n", "2 [-647.740989994033, -2.530518347267342, -11.03... \n", "3 [-715.5793634938929, -2.7101517511956494, -11.... \n", "\n", " UCL[nonparam_stratified_boots] \\\n", "0 [-14.205808684448709, 1.2099347078543717e-05, ... \n", "1 [-17.585934445046078, 0.0002385146247747581, 3... \n", "2 [-21.412504234536605, 0.21072214516873888, 17.... \n", "3 [-21.029662601238073, 1.2555851299669547e-05, ... \n", "\n", " LCL[parametric_boots] \\\n", "0 [-310.97179686469656, -0.00022031918968224803,... \n", "1 [-388.5011469095082, -0.0005018771370653443, -... \n", "2 [-519.9185959807692, -2.558558838295493, -17.2... \n", "3 [-543.4648107758051, -3.9222631096295584, -10.... \n", "\n", " UCL[parametric_boots] \n", "0 [-8.945695488818114, 0.00024100793866809866, 4... \n", "1 [-23.345353280554388, 1.0302791728371788e-05, ... \n", "2 [-14.267927545473208, 0.017587628573496706, 14... \n", "3 [-30.30604349087134, 2.8252548019394228e-06, 1... " ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dt_res = dict()\n", "for (scale, dataset), _ in df_data.groupby(['scale', 'dataset']):\n", " \n", " if verbose: print(f\"Data: {scale}, {dataset}\")\n", "\n", " # plot quantiles of models at bootstapped parameters\n", " for method in [\"normal\", \"nonparam_boots\", \"nonparam_stratified_boots\", \"parametric_boots\"]:\n", " \n", " if verbose: print(f\"\\tmodel CI: scale:{scale}, dataset:{dataset}, method:{method}\")\n", "\n", " # get boostrapped parameters\n", " btheta = boots_theta_results[(scale, dataset, method)]\n", " \n", " # quantiles\n", " quant = np.quantile(btheta, probs, axis = 0)\n", " \n", " if (scale, dataset) not in dt_res: dt_res[(scale, dataset)] = dict()\n", " for lab, q in zip([\"LCL\", \"UCL\"], quant):\n", " dt_res[(scale, dataset)][f\"{lab}[{method}]\"] = q\n", "\n", "\n", "# Joining results of bootstrapped theta quantiles with Wald CI of theta\n", "if verbose: print(f\"theta CI: scale:{scales}, dateset:{datasets}, method:Wald/delta\")\n", "\n", "method = \"Wald\"\n", "df_theta_CI_wald = df_theta.rename(columns={\"LCL\": f\"LCL[{method}]\", \"UCL\": f\"UCL[{method}]\"})\n", "df_theta_CI_wald = df_theta_CI_wald.set_index([\"scale\", \"dataset\"])\n", "\n", "df_res_CI_other = pd.DataFrame(dt_res).T\n", "df_res_CI_other.index.names = ['scale', 'dataset']\n", "\n", "df_theta_CI = df_theta_CI_wald.join(df_res_CI_other)\n", "df_theta_CI.reset_index(inplace=True)\n", "df_theta_CI" ] }, { "cell_type": "code", "execution_count": 23, "id": "e76c0167", "metadata": {}, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "scale", "rawType": "object", "type": "string" }, { "name": "dataset", "rawType": "object", "type": "string" }, { "name": "idx", "rawType": "object", "type": "unknown" }, { "name": "beta", "rawType": "object", "type": "unknown" }, { "name": "theta", "rawType": "object", "type": "unknown" }, { "name": "SE", "rawType": "object", "type": "unknown" }, { "name": "LCL[Wald]", "rawType": "object", "type": "unknown" }, { "name": "UCL[Wald]", "rawType": "object", "type": "unknown" }, { "name": "LCL[normal]", "rawType": "object", "type": "unknown" }, { "name": "UCL[normal]", "rawType": "object", "type": "unknown" }, { "name": "LCL[nonparam_boots]", "rawType": "object", "type": "unknown" }, { "name": "UCL[nonparam_boots]", "rawType": "object", "type": "unknown" }, { "name": "LCL[nonparam_stratified_boots]", "rawType": "object", "type": "unknown" }, { "name": "UCL[nonparam_stratified_boots]", "rawType": "object", "type": "unknown" }, { "name": "LCL[parametric_boots]", "rawType": "object", "type": "unknown" }, { "name": "UCL[parametric_boots]", "rawType": "object", "type": "unknown" } ], "ref": "19d2d9cb-472a-4db8-8a65-3f22cb100c5f", "rows": [ [ "0", "log", "FULL", "0", "-40.709396914613", "-40.709396914613", 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scaledatasetidxbetathetaSELCL[Wald]UCL[Wald]LCL[normal]UCL[normal]LCL[nonparam_boots]UCL[nonparam_boots]LCL[nonparam_stratified_boots]UCL[nonparam_stratified_boots]LCL[parametric_boots]UCL[parametric_boots]
0logFULL0-40.709397-40.70939720.369622-80.633122-0.785672-80.5148240.57681-362.341899-14.457646-369.351128-14.205809-310.971797-8.945695
1logFULL1152.8983650.00.0-0.00.000001-0.00.0-0.0000130.000014-0.0000110.000012-0.000220.000241
2logFULL2-186.37574115.0725934.2862596.6716823.4735056.42867123.468982-35.74117378.600834-35.75099479.271857-74.06005148.619996
3logFULL375.727683-12.3652083.203398-18.643753-6.086662-18.600565-5.869817-44.0629992.279963-44.4999632.280283-34.97653117.689025
4logTRIM0-318.624647-318.624647234.978512-779.174069141.924774-776.659317157.809374-400.128827-17.348309-399.079252-17.585934-388.501147-23.345353
5logTRIM11693.4465140.00.0-0.00.0-0.00.000001-0.0002520.000234-0.0002310.000239-0.0005020.00001
6logTRIM2-3000.86775972.92242726.48357421.015576124.829279-124.456103-19.188869-82.18140436.533438-82.02975236.475705-105.31595435.116438
7logTRIM31772.560127-41.15150715.096946-70.740977-11.56203710.50773170.511002-1.52607446.222108-1.51830146.153623-3.26062549.627883
8plainFULL0-123.992084-123.99208456.445124-234.622494-13.361674-233.949431-9.562457-662.077285-20.931699-647.74099-21.412504-519.918596-14.267928
9plainFULL1163.7934870.00.0-0.00.0-0.0000960.000008-2.4201790.000387-2.5305180.210722-2.5585590.017588
10plainFULL2-71.4479365.5826631.3769142.8839618.2813642.7944378.270209-11.0278217.81766-11.03486817.537221-17.29443814.727337
11plainFULL310.388707-12.7981832.98492-18.648518-6.947848-18.63649-6.719472-32.8388015.789172-32.4366395.80169-28.08348926.411133
12plainTRIM0-450.087847-450.087847279.831967-998.54842498.37273-995.828448117.691886-737.807108-20.618997-715.579363-21.029663-543.464811-30.306043
13plainTRIM1727.847722-2.5585061.770662-6.028940.911929-6.0319930.925499-2.6752720.00001-2.7101520.000013-3.9222630.000003
14plainTRIM2-395.533373-14.7273515.467168-25.442804-4.0118983.76639625.446875-11.14335219.496428-11.12269819.122665-10.77339518.058431
15plainTRIM372.29828826.8570629.0386099.14171344.57241-44.501614-8.598248-35.0515785.858238-34.49655.851761-30.7609685.677179
\n", "
" ], "text/plain": [ " scale dataset idx beta theta SE LCL[Wald] \\\n", "0 log FULL 0 -40.709397 -40.709397 20.369622 -80.633122 \n", "1 log FULL 1 152.898365 0.0 0.0 -0.0 \n", "2 log FULL 2 -186.375741 15.072593 4.286259 6.67168 \n", "3 log FULL 3 75.727683 -12.365208 3.203398 -18.643753 \n", "4 log TRIM 0 -318.624647 -318.624647 234.978512 -779.174069 \n", "5 log TRIM 1 1693.446514 0.0 0.0 -0.0 \n", "6 log TRIM 2 -3000.867759 72.922427 26.483574 21.015576 \n", "7 log TRIM 3 1772.560127 -41.151507 15.096946 -70.740977 \n", "8 plain FULL 0 -123.992084 -123.992084 56.445124 -234.622494 \n", "9 plain FULL 1 163.793487 0.0 0.0 -0.0 \n", "10 plain FULL 2 -71.447936 5.582663 1.376914 2.883961 \n", "11 plain FULL 3 10.388707 -12.798183 2.98492 -18.648518 \n", "12 plain TRIM 0 -450.087847 -450.087847 279.831967 -998.548424 \n", "13 plain TRIM 1 727.847722 -2.558506 1.770662 -6.02894 \n", "14 plain TRIM 2 -395.533373 -14.727351 5.467168 -25.442804 \n", "15 plain TRIM 3 72.298288 26.857062 9.038609 9.141713 \n", "\n", " UCL[Wald] LCL[normal] UCL[normal] LCL[nonparam_boots] \\\n", "0 -0.785672 -80.514824 0.57681 -362.341899 \n", "1 0.000001 -0.0 0.0 -0.000013 \n", "2 23.473505 6.428671 23.468982 -35.741173 \n", "3 -6.086662 -18.600565 -5.869817 -44.062999 \n", "4 141.924774 -776.659317 157.809374 -400.128827 \n", "5 0.0 -0.0 0.000001 -0.000252 \n", "6 124.829279 -124.456103 -19.188869 -82.181404 \n", "7 -11.562037 10.507731 70.511002 -1.526074 \n", "8 -13.361674 -233.949431 -9.562457 -662.077285 \n", "9 0.0 -0.000096 0.000008 -2.420179 \n", "10 8.281364 2.794437 8.270209 -11.02782 \n", "11 -6.947848 -18.63649 -6.719472 -32.838801 \n", "12 98.37273 -995.828448 117.691886 -737.807108 \n", "13 0.911929 -6.031993 0.925499 -2.675272 \n", "14 -4.011898 3.766396 25.446875 -11.143352 \n", "15 44.57241 -44.501614 -8.598248 -35.051578 \n", "\n", " UCL[nonparam_boots] LCL[nonparam_stratified_boots] \\\n", "0 -14.457646 -369.351128 \n", "1 0.000014 -0.000011 \n", "2 78.600834 -35.750994 \n", "3 2.279963 -44.499963 \n", "4 -17.348309 -399.079252 \n", "5 0.000234 -0.000231 \n", "6 36.533438 -82.029752 \n", "7 46.222108 -1.518301 \n", "8 -20.931699 -647.74099 \n", "9 0.000387 -2.530518 \n", "10 17.81766 -11.034868 \n", "11 5.789172 -32.436639 \n", "12 -20.618997 -715.579363 \n", "13 0.00001 -2.710152 \n", "14 19.496428 -11.122698 \n", "15 5.858238 -34.4965 \n", "\n", " UCL[nonparam_stratified_boots] LCL[parametric_boots] UCL[parametric_boots] \n", "0 -14.205809 -310.971797 -8.945695 \n", "1 0.000012 -0.00022 0.000241 \n", "2 79.271857 -74.060051 48.619996 \n", "3 2.280283 -34.976531 17.689025 \n", "4 -17.585934 -388.501147 -23.345353 \n", "5 0.000239 -0.000502 0.00001 \n", "6 36.475705 -105.315954 35.116438 \n", "7 46.153623 -3.260625 49.627883 \n", "8 -21.412504 -519.918596 -14.267928 \n", "9 0.210722 -2.558559 0.017588 \n", "10 17.537221 -17.294438 14.727337 \n", "11 5.80169 -28.083489 26.411133 \n", "12 -21.029663 -543.464811 -30.306043 \n", "13 0.000013 -3.922263 0.000003 \n", "14 19.122665 -10.773395 18.058431 \n", "15 5.851761 -30.760968 5.677179 " ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# convert to long format by exploding the theta, SE, LCL, UCL, beta columns\n", "cols_CI = df_theta_CI.columns[df_theta_CI.columns.str.startswith((\"LCL\", \"UCL\"))].tolist()\n", "cols = [\"idx\", \"beta\", \"theta\", \"SE\"] + cols_CI\n", "\n", "df_theta_CI_long = df_theta_CI.explode(cols, ignore_index=True)\n", "df_theta_CI_long" ] }, { "cell_type": "code", "execution_count": 24, "id": "4084084d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{tabular}{lllllllllllllllll}\n", "\\toprule\n", " & scale & dataset & idx & beta & theta & SE & LCL[Wald] & UCL[Wald] & LCL[normal] & UCL[normal] & LCL[nonparam_boots] & UCL[nonparam_boots] & LCL[nonparam_stratified_boots] & UCL[nonparam_stratified_boots] & LCL[parametric_boots] & UCL[parametric_boots] \\\\\n", "\\midrule\n", "0 & log & FULL & 0 & -40.709397 & -40.709397 & 20.369622 & -80.633122 & -0.785672 & -80.514824 & 0.576810 & -362.341899 & -14.457646 & -369.351128 & -14.205809 & -310.971797 & -8.945695 \\\\\n", "1 & log & FULL & 1 & 152.898365 & 0.000000 & 0.000000 & -0.000000 & 0.000001 & -0.000000 & 0.000000 & -0.000013 & 0.000014 & -0.000011 & 0.000012 & -0.000220 & 0.000241 \\\\\n", "2 & log & FULL & 2 & -186.375741 & 15.072593 & 4.286259 & 6.671680 & 23.473505 & 6.428671 & 23.468982 & -35.741173 & 78.600834 & -35.750994 & 79.271857 & -74.060051 & 48.619996 \\\\\n", "3 & log & FULL & 3 & 75.727683 & -12.365208 & 3.203398 & -18.643753 & -6.086662 & -18.600565 & -5.869817 & -44.062999 & 2.279963 & -44.499963 & 2.280283 & -34.976531 & 17.689025 \\\\\n", "4 & log & TRIM & 0 & -318.624647 & -318.624647 & 234.978512 & -779.174069 & 141.924774 & -776.659317 & 157.809374 & -400.128827 & -17.348309 & -399.079252 & -17.585934 & -388.501147 & -23.345353 \\\\\n", "5 & log & TRIM & 1 & 1693.446514 & 0.000000 & 0.000000 & -0.000000 & 0.000000 & -0.000000 & 0.000001 & -0.000252 & 0.000234 & -0.000231 & 0.000239 & -0.000502 & 0.000010 \\\\\n", "6 & log & TRIM & 2 & -3000.867759 & 72.922427 & 26.483574 & 21.015576 & 124.829279 & -124.456103 & -19.188869 & -82.181404 & 36.533438 & -82.029752 & 36.475705 & -105.315954 & 35.116438 \\\\\n", "7 & log & TRIM & 3 & 1772.560127 & -41.151507 & 15.096946 & -70.740977 & -11.562037 & 10.507731 & 70.511002 & -1.526074 & 46.222108 & -1.518301 & 46.153623 & -3.260625 & 49.627883 \\\\\n", "8 & plain & FULL & 0 & -123.992084 & -123.992084 & 56.445124 & -234.622494 & -13.361674 & -233.949431 & -9.562457 & -662.077285 & -20.931699 & -647.740990 & -21.412504 & -519.918596 & -14.267928 \\\\\n", "9 & plain & FULL & 1 & 163.793487 & 0.000000 & 0.000000 & -0.000000 & 0.000000 & -0.000096 & 0.000008 & -2.420179 & 0.000387 & -2.530518 & 0.210722 & -2.558559 & 0.017588 \\\\\n", "10 & plain & FULL & 2 & -71.447936 & 5.582663 & 1.376914 & 2.883961 & 8.281364 & 2.794437 & 8.270209 & -11.027820 & 17.817660 & -11.034868 & 17.537221 & -17.294438 & 14.727337 \\\\\n", "11 & plain & FULL & 3 & 10.388707 & -12.798183 & 2.984920 & -18.648518 & -6.947848 & -18.636490 & -6.719472 & -32.838801 & 5.789172 & -32.436639 & 5.801690 & -28.083489 & 26.411133 \\\\\n", "12 & plain & TRIM & 0 & -450.087847 & -450.087847 & 279.831967 & -998.548424 & 98.372730 & -995.828448 & 117.691886 & -737.807108 & -20.618997 & -715.579363 & -21.029663 & -543.464811 & -30.306043 \\\\\n", "13 & plain & TRIM & 1 & 727.847722 & -2.558506 & 1.770662 & -6.028940 & 0.911929 & -6.031993 & 0.925499 & -2.675272 & 0.000010 & -2.710152 & 0.000013 & -3.922263 & 0.000003 \\\\\n", "14 & plain & TRIM & 2 & -395.533373 & -14.727351 & 5.467168 & -25.442804 & -4.011898 & 3.766396 & 25.446875 & -11.143352 & 19.496428 & -11.122698 & 19.122665 & -10.773395 & 18.058431 \\\\\n", "15 & plain & TRIM & 3 & 72.298288 & 26.857062 & 9.038609 & 9.141713 & 44.572410 & -44.501614 & -8.598248 & -35.051578 & 5.858238 & -34.496500 & 5.851761 & -30.760968 & 5.677179 \\\\\n", "\\bottomrule\n", "\\end{tabular}\n", "\n" ] } ], "source": [ "# store table into latex\n", "file_path = results_path / \"theta_CI_long.txt\"\n", "\n", "with open(file_path, \"w\", encoding=\"utf-8\") as f:\n", " f.write(df_theta_CI_long.to_latex())\n", "\n", "print(df_theta_CI_long.to_latex())" ] }, { "cell_type": "code", "execution_count": null, "id": "3d60267f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "base (3.12.3)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }