From 3dc6ffa0a67342bff652e310250bb048ce7188e5 Mon Sep 17 00:00:00 2001 From: Jonathan Dekermanjian Date: Sat, 3 Aug 2024 15:56:34 -0600 Subject: [PATCH 1/5] added draft of the prevalence of malaria example --- examples/data/GMB_elv_msk.tif | Bin 0 -> 25510 bytes examples/data/gambia_dataset.csv | 2036 +++++++++++++++ .../spatial/malaria_prevalence_PyMCv5.ipynb | 2243 +++++++++++++++++ .../spatial/malaria_prevalence_PyMCv5.myst.md | 391 +++ 4 files changed, 4670 insertions(+) create mode 100644 examples/data/GMB_elv_msk.tif create mode 100644 examples/data/gambia_dataset.csv create mode 100644 examples/spatial/malaria_prevalence_PyMCv5.ipynb create mode 100644 examples/spatial/malaria_prevalence_PyMCv5.myst.md diff --git a/examples/data/GMB_elv_msk.tif b/examples/data/GMB_elv_msk.tif new file mode 100644 index 0000000000000000000000000000000000000000..fe4bd6d71da2771591ae9e27ab84b30811639982 GIT binary patch literal 25510 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malaria in the Gambia)=\n", + "# The prevalence of malaria in the Gambia\n", + "\n", + ":::{post} Aug 04, 2024 \n", + ":tags: spatial, autoregressive, count data\n", + ":category: beginner, tutorial\n", + ":author: Jonathan Dekermanjian, bwengals (please add your name here)\n", + ":::" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import arviz as az\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import pymc as pm\n", + "import pytensor.tensor as pt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + ":::{include} ../extra_installs.md\n", + ":::" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# These dependencies need to be installed separately from PyMC\n", + "import folium\n", + "import geopandas as gpd\n", + "import mapclassify\n", + "import rasterio as rio\n", + "\n", + "from pyproj import Transformer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Often, we find ourselves with a sample of continuous measurements that are spatially related (Geostatistical data) and our goal is to determine an estimate of that measure in unsampled surrounding areas. In the following case-study we look at the number of individuals who test positive for malaria in our sample of 65 villages across the Gambia region and proceed with estimating the prevalence (total positive / total individuals tested) of malaria within the surrounding areas to the 65 sampled villages. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data Processing" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0xyposagenetusetreatedgreenphc
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\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 x y pos age netuse treated green phc\n", + "0 1850 349631.3 1458055 1 1783 0 0 40.85 1\n", + "1 1851 349631.3 1458055 0 404 1 0 40.85 1\n", + "2 1852 349631.3 1458055 0 452 1 0 40.85 1\n", + "3 1853 349631.3 1458055 1 566 1 0 40.85 1\n", + "4 1854 349631.3 1458055 0 598 1 0 40.85 1" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# load the tabular data\n", + "try:\n", + " gambia = pd.read_csv(\"../data/gambia_dataset.csv\")\n", + "except FileNotFoundError:\n", + " gambia = pd.read_csv(pm.get_data(\"gambia_dataset.csv\"))\n", + "gambia.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# For each village compute the total tested, total positive, and the prevalence\n", + "gambia_agg = (\n", + " gambia.groupby([\"x\", \"y\"])\n", + " .agg(total=(\"x\", \"size\"), positive=(\"pos\", \"sum\"))\n", + " .eval(\"prev = positive / total\")\n", + " .reset_index()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " x y total positive prev\n", + "0 349631.3 1458055 33 17 0.515152\n", + "1 358543.1 1460112 63 19 0.301587\n", + "2 360308.1 1460026 17 7 0.411765\n", + "3 363795.7 1496919 24 8 0.333333\n", + "4 366400.5 1460248 26 10 0.384615\n", + ".. ... ... ... ... ...\n", + "60 613529.5 1473868 28 20 0.714286\n", + "61 614665.6 1482815 60 15 0.250000\n", + "62 614722.5 1474320 31 13 0.419355\n", + "63 620043.1 1497633 13 12 0.923077\n", + "64 622086.1 1474011 31 15 0.483871\n", + "\n", + "[65 rows x 5 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gambia_agg" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Create a GeoDataframe and set coordinate reference system to EPSG 4326\n", + "gambia_gpdf = gpd.GeoDataFrame(\n", + " gambia_agg, geometry=gpd.points_from_xy(gambia_agg[\"x\"], gambia_agg[\"y\"]), crs=\"EPSG:32628\"\n", + ").drop([\"x\", \"y\"], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Get an interactive plot of the data with a cmap on the prevalence values\n", + "gambia_gpdf_4326.round(2).explore(column=\"prev\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/miniconda3/envs/pymc_examples_contrib/lib/python3.12/site-packages/branca/utilities.py:320: RuntimeWarning: invalid value encountered in cast\n", + " array = array.astype(\"uint8\")\n" + ] + }, + { + "data": { + "text/html": [ + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Overlay the raster image of elevations in the Gambia on top of the map\n", + "m = gambia_gpdf_4326.round(2).explore(column=\"prev\")\n", + "\n", + "## Load the elevation rasterfile\n", + "in_path = \"../data/GMB_elv_msk.tif\"\n", + "\n", + "dst_crs = \"EPSG:4326\"\n", + "\n", + "with rio.open(in_path) as src:\n", + "\n", + " img = src.read()\n", + "\n", + " src_crs = src.crs[\"init\"].upper()\n", + " min_lon, min_lat, max_lon, max_lat = src.bounds\n", + " xs = gambia_gpdf_4326[\"geometry\"].x\n", + " ys = gambia_gpdf_4326[\"geometry\"].y\n", + " rows, cols = rio.transform.rowcol(src.transform, xs, ys)\n", + "\n", + "## Conversion of elevation locations from UTM to WGS84 CRS\n", + "bounds_orig = [[min_lat, min_lon], [max_lat, max_lon]]\n", + "\n", + "bounds_fin = []\n", + "\n", + "for item in bounds_orig:\n", + " # converting to lat/lon\n", + " lat = item[0]\n", + " lon = item[1]\n", + "\n", + " proj = Transformer.from_crs(\n", + " int(src_crs.split(\":\")[1]), int(dst_crs.split(\":\")[1]), always_xy=True\n", + " )\n", + "\n", + " lon_n, lat_n = proj.transform(lon, lat)\n", + "\n", + " bounds_fin.append([lat_n, lon_n])\n", + "\n", + "# Finding the center of latitude & longitude\n", + "centre_lon = bounds_fin[0][1] + (bounds_fin[1][1] - bounds_fin[0][1]) / 2\n", + "centre_lat = bounds_fin[0][0] + (bounds_fin[1][0] - bounds_fin[0][0]) / 2\n", + "\n", + "# Overlay raster\n", + "m.add_child(\n", + " folium.raster_layers.ImageOverlay(\n", + " img.transpose(1, 2, 0),\n", + " opacity=0.7,\n", + " bounds=bounds_fin,\n", + " overlay=True,\n", + " control=True,\n", + " cross_origin=False,\n", + " zindex=1,\n", + " colormap=lambda x: (1, 0, 0, x),\n", + " )\n", + ")\n", + "\n", + "m" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Pull the elevation values from the raster file and put them into a dataframe\n", + "path = \"../data/GMB_elv_msk.tif\"\n", + "\n", + "with rio.open(path) as f:\n", + " arr = f.read(1)\n", + " mask = arr != f.nodata\n", + " elev = arr[mask]\n", + " col, row = np.where(mask)\n", + " x, y = f.xy(col, row)\n", + " uid = np.arange(f.height * f.width).reshape((f.height, f.width))[mask]\n", + "\n", + "result = np.rec.fromarrays([uid, x, y, elev], names=[\"id\", \"x\", \"y\", \"elev\"])\n", + "elevations = pd.DataFrame(result)\n", + "elevations = gpd.GeoDataFrame(\n", + " elevations, geometry=gpd.points_from_xy(elevations[\"x\"], elevations[\"y\"], crs=\"EPSG:4326\")\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Set coordinate system to EPSG 32628 and spatially join our prevalence dataframe to our elevations dataframe\n", + "elevations = elevations.to_crs(epsg=\"32628\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "gambia_gpdf = gambia_gpdf.sjoin_nearest(elevations, how=\"inner\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Set CRS to EPSG 4326\n", + "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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totalpositiveprevgeometryindex_rightidxyelev
033170.515152POINT (-16.38755 13.18541)1239039649-16.38750013.18750015.0
163190.301587POINT (-16.30543 13.20444)1216638843-16.30416713.20416733.0
21770.411765POINT (-16.28914 13.20374)1216838845-16.28750013.20416732.0
32480.333333POINT (-16.25869 13.53742)342922528-16.26250013.53750020.0
426100.384615POINT (-16.23294 13.20603)1217538852-16.22916713.20416729.0
..............................
6028200.714286POINT (-13.95173 13.32999)1004333005-13.95416713.32916723.0
6160150.250000POINT (-13.94089 13.41084)762128927-13.93750013.41250022.0
6231130.419355POINT (-13.9407 13.33403)987532599-13.93750013.33750025.0
6313120.923077POINT (-13.89061 13.54459)365822812-13.89583313.53750017.0
6431150.483871POINT (-13.87273 13.33094)1005333015-13.87083313.32916748.0
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65 rows × 9 columns

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" + ], + "text/plain": [ + " total positive prev geometry index_right id \\\n", + "0 33 17 0.515152 POINT (-16.38755 13.18541) 12390 39649 \n", + "1 63 19 0.301587 POINT (-16.30543 13.20444) 12166 38843 \n", + "2 17 7 0.411765 POINT (-16.28914 13.20374) 12168 38845 \n", + "3 24 8 0.333333 POINT (-16.25869 13.53742) 3429 22528 \n", + "4 26 10 0.384615 POINT (-16.23294 13.20603) 12175 38852 \n", + ".. ... ... ... ... ... ... \n", + "60 28 20 0.714286 POINT (-13.95173 13.32999) 10043 33005 \n", + "61 60 15 0.250000 POINT (-13.94089 13.41084) 7621 28927 \n", + "62 31 13 0.419355 POINT (-13.9407 13.33403) 9875 32599 \n", + "63 13 12 0.923077 POINT (-13.89061 13.54459) 3658 22812 \n", + "64 31 15 0.483871 POINT (-13.87273 13.33094) 10053 33015 \n", + "\n", + " x y elev \n", + "0 -16.387500 13.187500 15.0 \n", + "1 -16.304167 13.204167 33.0 \n", + "2 -16.287500 13.204167 32.0 \n", + "3 -16.262500 13.537500 20.0 \n", + "4 -16.229167 13.204167 29.0 \n", + ".. ... ... ... \n", + "60 -13.954167 13.329167 23.0 \n", + "61 -13.937500 13.412500 22.0 \n", + "62 -13.937500 13.337500 25.0 \n", + "63 -13.895833 13.537500 17.0 \n", + "64 -13.870833 13.329167 48.0 \n", + "\n", + "[65 rows x 9 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gambia_gpdf_4326" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# Get relevant measures for modeling\n", + "elev = gambia_gpdf_4326[\"elev\"].values\n", + "pos = gambia_gpdf_4326[\"positive\"].values\n", + "n = gambia_gpdf_4326[\"total\"].values\n", + "lonlat = gambia_gpdf_4326[[\"y\", \"x\"]].values" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# Standardize elevation values\n", + "elev_std = (elev - np.mean(elev)) / np.std(elev)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Model Specification" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We specify the following model:\n", + "$$Y_{i} \\sim Binomial(n_{i}, P(x_{i}))$$\n", + "$$logit(P(x_{i})) = \\beta_{0} + \\beta_{1} \\times Elevation + S(x_{i})$$\n", + "\n", + "Where $n_{i}$ represents an individual tested for malaria, $P(x_{i})$ is the prevalence of malaria at location $x_{i}$, $\\beta_{0}$ is the intercept, $\\beta_{1}$ is the coefficient for the elevation covariate and $S(x_{i})$ is a zero mean field guassian process with a Matérn covariance function with $\\nu=\\frac{3}{2}$ that we will approximate using a Hilbert Space Gaussian Process (HSGP)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "with pm.Model() as hsgp_model:\n", + " _X = pm.Data(\"X\", lonlat)\n", + " _elev = pm.Data(\"elevation\", elev_std)\n", + "\n", + " ls = pm.Gamma(\"ls\", mu=20, sigma=5)\n", + " cov_func = pm.gp.cov.Matern32(2, ls=ls)\n", + " m0, m1, c = 40, 40, 2.5\n", + " gp = pm.gp.HSGP(m=[m0, m1], c=c, cov_func=cov_func)\n", + " s = gp.prior(\"s\", X=_X)\n", + "\n", + " beta_0 = pm.Normal(\"beta_0\", 0, 1)\n", + " beta_1 = pm.Normal(\"beta_1\", 0, 1)\n", + "\n", + " p_logit = pm.Deterministic(\"p_logit\", beta_0 + beta_1 * _elev + s)\n", + " p = pm.Deterministic(\"p\", pm.math.invlogit(p_logit))\n", + " pm.Binomial(\"likelihood\", n=n, logit_p=p_logit, observed=pos)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cluster65 x 2\n", + "\n", + "65 x 2\n", + "\n", + "\n", + "cluster65\n", + "\n", + "65\n", + "\n", + "\n", + "cluster1600\n", + "\n", + "1600\n", + "\n", + "\n", + "\n", + "X\n", + "\n", + "X\n", + "~\n", + "Data\n", + "\n", + "\n", + "\n", + "s\n", + "\n", + "s\n", + "~\n", + "Deterministic\n", + "\n", + "\n", + "\n", + "X->s\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "elevation\n", + "\n", + "elevation\n", + "~\n", + "Data\n", + "\n", + "\n", + "\n", + "p_logit\n", + "\n", + "p_logit\n", + "~\n", + "Deterministic\n", + "\n", + "\n", + "\n", + "elevation->p_logit\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "p\n", + "\n", + "p\n", + "~\n", + "Deterministic\n", + "\n", + "\n", + "\n", + "likelihood\n", + "\n", + "likelihood\n", + "~\n", + "Binomial\n", + "\n", + "\n", + "\n", + "s->p_logit\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "p_logit->p\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "p_logit->likelihood\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beta_0\n", + "\n", + "beta_0\n", + "~\n", + "Normal\n", + "\n", + "\n", + "\n", + "beta_0->p_logit\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "beta_1\n", + "\n", + "beta_1\n", + "~\n", + "Normal\n", + "\n", + "\n", + "\n", + "beta_1->p_logit\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ls\n", + "\n", + "ls\n", + "~\n", + "Gamma\n", + "\n", + "\n", + "\n", + "ls->s\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "s_hsgp_coeffs_\n", + "\n", + "s_hsgp_coeffs_\n", + "~\n", + "Normal\n", + "\n", + "\n", + "\n", + "s_hsgp_coeffs_->s\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hsgp_model.to_graphviz()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9e0d7968ca2345e08c8e3bc7b7828bf1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/3000 [00:00 1s:\n", + "\n", + " %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpec6a_3ly\" source_line=25}\n", + "\n", + "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n", + "\n", + "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n", + "2024-08-03 15:37:19.424253: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 17.065954s\n", + "Constant folding an instruction is taking > 1s:\n", + "\n", + " %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpec6a_3ly\" source_line=25}\n", + "\n", + "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n", + "\n", + "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n" + ] + } + ], + "source": [ + "with hsgp_model:\n", + " hsgp_trace = pm.sample(1000, tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
ls0.1870.0490.1080.2710.0010.0011940.02243.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "ls 0.187 0.049 0.108 0.271 0.001 0.001 1940.0 2243.0 \n", + "\n", + " r_hat \n", + "ls 1.0 " + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(hsgp_trace, var_names=[\"ls\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Posterior Predictive Checks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We need to validate that our model specification properly represents the observed data. We can push out posterior predictions of the prevalence and plot them on a coordinate system to check if they resemble the observed prevalence from our sample" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Sampling: [likelihood]\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a1a35842df11404f8870f79888e939bd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with hsgp_model:\n",
+    "    ppc = pm.sample_posterior_predictive(hsgp_trace)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "posterior_prevalence = hsgp_trace[\"posterior\"][\"p\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Refering to the map we plotted above, we can see that our posterior predictions in the figure below agree with the observed sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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owXHDMHTXXXe1WXAAAAAAAADoOtq69tchLUqAvf/++7IsS6eddppeeuklpaen1x1zuVzq06ePevTo0eZBAgAAAAAAoGvYunWr5s6dW3c3yGHDhunGG2/UgAGtv6NrixJgU6dOlXRgOlrv3r1lGEarBwYAAAAAAAAO98477+i8887T6NGjNXnyZEnS0qVLNXz4cL3xxhs6/fTTW9VvsxNga9as0YgRI2Sz2VRRUaEvv/yyybYnnHBCq4IBAAAAAABA13Xrrbfqpptu0v/7f/+vwf5f/OIX7Z8AGz16tAoLC5WVlaXRo0fXVeD/umOpyA8AAAAAANBlWAe3WI/Zga1fv17PP/98g/1XX3215s6d2+p+m50A2759uzIzM+v+GwAAAAAAAGhLmZmZWrVqlQYOHFhv/6pVq5SVldXqfpudADu8Cn97VeQHAAAAAABA13XNNdfo2muv1bZt2zRp0iRJB2qA/e53v9PNN9/c6n5bVAT/kNdff73R/YZhyOPxKC8vT/369Wt1UAAAAAAAAJ0eSyAb+M1vfqPk5GT98Y9/1G233SZJ6tGjh+6880795Cc/aXW/rUqAnX/++Y3WADu0zzAMnXLKKXr11VeVlpbW6uAAAAAAAMc307JUGvQrEAnL43Aqw50owzDiHVbMhSIRldUEFDFN+RLcSva44x0S0CEZhqGbbrpJN910k6qqqiRJycnJx9xvqxJgCxYs0K9+9Sv99re/1fjx4yVJn3zyiX7zm9/o17/+tVJSUnTdddfplltu0fz58485SAAAAADA8aU8WKv3927Rv3evV35NhUzLks0w1MebprN6D9W07gPkc3niHWa721FSpkVfbdGir7aqKhCUJDlsNp3Yp6dmjRiosX17ymG3xTlKxA0zwI6oLRJfh7QqAXbjjTfqkUceqVuLKUkzZsyQx+PRtddeq3Xr1mnu3Lm6+uqr2yxQAAAAAMDx4eN9O/WH1Yu1r7ZadsNQssstm2EoalnaUL5P68uL9PTmlbp19AyN6dYz3uG2i6hp6p/LvtBLK9fJHwzJ43AoweWUYRgKR6L6YON2Ld28Qyfkdtcvzp6qDG9ivEMG4ubEE0/UokWLlJaWpjFjxhxxlujnn3/eqjFalQDbunWrfD5fg/0+n0/btm2TJA0cOFAlJSWtCgoAAAAAcHz6eN9O3fP5AlWHQ+qemCy7rf7spmSnWxHTVGFtle5Y+bbuPukMjc7oXEkwy7L0+JLP9MIna5XgdKhnqq/+B3qXUymJHgXCYX2+I193vLJA//ut2UpN7Pwz4oDGfOMb35DbfWBZ8Pnnn98uY7QqATZ27Fj97Gc/05NPPqnMzExJUnFxsX7+859r3LhxkqTNmzcrNze37SIFAAAAAHRolaGA/m/NB3XJr6ZmcThsNvVI9Gmvv1K/W/We5k+9WIkOV4yjbT8rtu7WKyvXKcntVEpC00ktj9Op7BSv1hcUa/6Hn+p/zpgSwyiBjuOOO+6QJEWjUU2fPl0nnHCCUlNT23SMVi00nj9/vrZv365evXopLy9PeXl56tWrl3bs2KHHHntMklRdXa1f//rXbRosAAAAAKDjen/vFhXVVik7wXvUQveGYSgrwau9/kotKdweowhj4z9rNiocMY+Y/DrEabcr2e3SR5t2qriyOgbRAR2X3W7XrFmzVFZW1uZ9t2oG2ODBg/XVV1/p3Xff1aZNm+r2nX766bIdnN7aXlPWAAAAAAAdj2VZ+veu9bLLaLDssSlOm12S9NaurzSr56BOcXfIHSVlWrVrr3wJzb/Loy/Bo73llXp/wzZdNP6EdowOHQ5F8BsYMWKEtm3bpn79+rVpv61KgEmSzWbTGWecoTPOOKMt4wEAAAAAHIfKQrXaU1Mur6v5iR9J8jrd2lq5X4FoRAkOZztFFztb95XKHwqrZ2pCs8+xGYYMGdpYQB1t4H//9391yy236J577tHYsWOVlJRU73hjNembo9UJsEWLFmnRokXat2+fTNOsd+zxxx9vbbcAAAAAgONQMBpR1LLkVMtmcdkMQxHTVCAa7hQJsFAkIsn4/+3deZRcVbn//885p+aurp478zwnkIQhgTAmJMzCBb1OqCBy8SLiFEeuXxUHCMpPRAVFERkcLl4VHFDQEAiDhBASAgFC5jnpJD13Vdd89u+PDi1NOp3qTndXD+/XWnu56tTZez+ncroW9bj3czq9ms22LTWnUj0TFPosy7S03p6zL7voooskSZdeemmbvyNjjCzLUjab7dK4XUqAffOb39S3vvUtnXzyyRo2bNiAWKYKAAAAAOi6gOORY1nKGvfoJ79N1nXlWJaCTv9PfklSwOuRZFp/rOcq67oKBzq3eg4YiJ566qkeGbdLCbC7775b999/vz7ykY90dzwAAAAAMCglMxltqK5WLJWS13E0IhLRsMLCfIeVs2JfUOMKy/R63T5FfEcv/v6WWDqluZWjFWhn9VdtMqYdsRolsxmFHJ8mFFaowNu3k0STh1aowO9TUyKpSA5F8KWW5JckTR9e2ZOhAf3C2Wef3SPjdikBlkqldNppp3V3LAAAAAAw6ByIRvXPTZv19w0btT8aVca4smUp6PXq1FEjdcHkyZozckSf33ljWZbeNWaaXqvbp4zrypNDIfxUNivLsnTR6Gltjr9ev1dL976hZ/dvViyTlCsjx7JV4gtp4bCpOnf4dI0uKO2pSzkmI0oimjt+lJ5avzXnBFhjPKmiUEDzp47v4ejQ5xirpfX2nH3cs88+q5/97GfaunWrfv/732vEiBH61a9+pXHjxumMM87o0pi5PZrjHf7rv/5Lv/3tb7s0IQAAAACgxdp9+3TDXx/Vz1at0v5YVMXBgIaGw6oIF8iypCe2bNX//HOpfvj8CqW6WPemN505dLxGhIq0P94kYzouNOQaowPxqMaES3TakLGSWmr8/O+2F3Xjmkf0t93rlDWuygJhDQlGVOILqTGd0EPbVmnxqt/r6aqNvXBFXXPhzMkKeD2qjcWPem4yk1E0ldI50yaopCD3wvnAQPXHP/5R559/voLBoNasWaNkMilJamho0C233NLlcbu0AiyRSOjnP/+5nnjiCc2cOVNeb9ulqrfffnuXAwIAAACAweCNAwd00xNPqi4e14hIRPY7VngVBQIqCgTUmEzqkdffkDFGnz39tD69Eizs9evGExbqay89rj2xRg0JheW1ncPOS2UzOhCPqSJYoP85YaH8TstP09/vWK0Ht7wgn+1oeKi4zbU6jq1yJyxjjA4kGvWDN56Q13Z0WuWEXru+XJ04ZoQ+PG+27v/XGh1siqmsICTbbvvvZoxRLJVWXXNcJ44Zro+ecVKeogX6lu985zu6++67deWVV+qhhx5qPX766afrO9/5TpfH7VIC7NVXX9Xs2bMlSa+99lqb9/rylzEAAAAA9AWuMfrR8ytUG2/WiEikw99REX9Lzau/bdioeaNH69TRo3orzC45vnSYbp5zoZa8vEy7Y/Uykgo8vkMF8o1imZQsWRofKdX/nLBIk4sqJEnbo9X67dYX5bUdlfgLjji+ZVmqDERUFW/QTzYs1+zSUQp5fL10dbl7/ykz5fd69OvnX9behkZ5bEchn0eWZSmVyao5lVbA59HZU8bpc+efoQJ/37sGIB82bNigs84667DjRUVFqq+v7/K4XUqA9VRFfgAAAAAYDNbu26fNNTUqC4VyWkQQ8fvVmEjq8Y2b+nwCTJJmlAzVL856n57fv11/27leGxoOKmta6nidWjlGF46apnlDxrSu/JKkZXvfVDST1IhQ8VHHtyxLFYFCHUg06V8HNuvc4dN78Gq6xrIsXX7SDJ0xeayefnOrHl+3UTXRZrnGKOj36vzjJ2nh9ImaOqyChSSDmGVaWm/P2ZcNHTpUmzdv1tixY9scf+655zR+fNfr5HUpAfZ2u3fvliSNHDnyWIcCAAAAgEFh6abNSmVdBb2HP/nwSAr9Pq3cvVt7G5s0PNL3nw4Z8Hh1zohJOmfEJCWzGSWzGQUcr3zO4Vsi45mUnqhar6DjzTkZ5LEdWZL+sef1PpkAe0tFYYH+c87xes/JxymRzijjugr5vHJyeEgAMBhde+21+sxnPqNf/vKXsixLe/fu1YoVK/SFL3xBX/va17o8bpf+4lzX1be+9S0VFRVpzJgxGjNmjIqLi/Xtb39b7qHHtwIAAAAA2reltlY+p3M/xwp8PsXTae1pbOihqHqO3/Eo4gu0m/ySpIPJqKLpZKe3MgY9Pu2I1R614H5fYFmWgj6vCgN+kl/ol+666y6NHTtWgUBAp5xyil588cWc+j300EOyLEuXXXZZTud/5Stf0RVXXKGFCxcqGo3qrLPO0n/913/pv//7v/WpT32qy/F3aQXYV7/6Vd1777269dZbdfrpp0tqWYp20003KZFI6Oabb+5yQAAAAAAw0KWy2U5ve7NlyRijVHbgLTpIu1m5Mp3+TCxZco1R2mTls455gxPQ+8yh1ttzdtLvfvc7LV68WHfffbdOOeUU3XHHHTr//PO1YcMGVVZWHrHf9u3b9YUvfEFnnnlmznNZlqWvfvWr+uIXv6jNmzcrGo1q+vTpCofDnQ/8bbqUdn7ggQf0i1/8Qp/4xCc0c+ZMzZw5U9dff73uuece3X///TmP88wzz+iSSy7R8OHDZVmW/vSnP7V5/6abbtLUqVNVUFCgkpISLVq0SCtXrsx5/FtvvVWWZemzn/1szn0AAAAAoKdF/AFlOpnISrtZObatsC/3bZP9RYHHJ49lK9PJHUUZN6uA45HPJvkF9KTbb79d1157ra6++mpNnz5dd999t0KhkH75y18esU82m9WHPvQhffOb3+xU7a6Pfexjampqks/n0/Tp0zV37lyFw2HFYjF97GMf6/I1dCkBVltbq6lTpx52fOrUqaqtrc15nFgsplmzZumuu+5q9/3Jkyfrzjvv1Lp16/Tcc89p7NixOu+883Tw4MGjjr1q1Sr97Gc/08yZM3OOBwAAAAB6w7zRo5Q1rtxObN1rSCRVGS7Q1IqKHowsP4YEIppQWKHGdDznPsYYxbNpzauc0IORAT3vrUL4vdXe0tjY2KYlk8l240ulUlq9erUWLVrUesy2bS1atEgrVqw44nV961vfUmVlpa655ppOfR4PPPCA4vHDvwvi8bgefPDBTo31dl1KgM2aNUt33nnnYcfvvPPOTiWcLrzwQn3nO9/R5Zdf3u77V1xxhRYtWqTx48drxowZuv3229XY2KhXX321w3Gj0ag+9KEP6Z577lFJSUnO8QAAAABAb1g4Ybwi/oAaEomczneNUSqb0YWTJ8vvGXirnSzL0vkjZkhqWemWi+ZMSgHHq4XDDl+cAeDoRo0apaKiota2ZMmSds+rrq5WNpvVkCFD2hwfMmSIqqqq2u3z3HPP6d5779U999yTczyNjY1qaGiQMUZNTU1tknN1dXX6+9//3uF2y6Pp0jfn9773PV188cV64oknNG/ePEnSihUrtGvXLv3973/vcjAdSaVS+vnPf66ioiLNmjWrw3M/+clP6uKLL9aiRYv0ne9856hjJ5PJNpnOxsbGY44XAAAAAI6kMhzWuZMm6o+vvaaAx9Ph0yCNMdrX1KTKcFjnTZrYi1H2rjMqJ+qPO9ZoW1O1hoaK5FhHXq+RdrOqSzXrtIrxmhoZ2otRAgPHrl27FIlEWl/7/f5uGbepqUkf+chHdM8996i8vDznfsXFxbIsS5ZlafLkyYe9b1mWvvnNb3Y5ri4lwM4++2xt3LhRd911l958801J0rvf/W59/OMf13e+851OFTc7mkcffVQf+MAH1NzcrGHDhmnp0qUdfoAPPfSQ1qxZo1WrVuU8x5IlS47pQwQAAACAzvrvOSdrX1OTnt+xQwU+n4oCAdnvKAIfT6dV09ys0mBIN559toYVFuYp2p5X4PHrxuMu1DfW/kV7mxtU4g8p5PjaFMY3xqgpnVBjOqHpRcO0eMa5nS6cD6BFJBJpkwA7kvLycjmOo/3797c5vn//fg0dengCesuWLdq+fbsuueSS1mPuofp+Ho9HGzZs0IQJh29dfuqpp2SM0TnnnKM//vGPKi0tbX3P5/NpzJgxGj58eM7X906W6cbnxb7yyis68cQTlc3mtmS1TSCWpUceeeSwx2LGYjHt27dP1dXVuueee/Tkk09q5cqV7S5727Vrl04++WQtXbq0dSvm/PnzNXv2bN1xxx1HnLu9FWCjRo1SQ0NDTjcDAAAAAHRFIp3Wz1a9pKWbNqsxmZRjWfI4toyRUtmMvLajCWWl+sxpp2nGkK5v/elPdsVq9cP1T+rNhiolsmn5bI9sy1LWuEq7WRV4/DqlYpw+OWW+inzBfIeLY9TY2KiioqJB9/v7ret+38/vly8Y6tW5U/Fm/d/HP9qpz/yUU07R3Llz9eMf/1hSS0Jr9OjRuuGGG/SVr3ylzbmJREKbN29uc+z//b//p6amJv3whz/U5MmT5fP5jjjXjh07NHr06G5Pbvf5zeMFBQWaOHGiJk6cqFNPPVWTJk3SvffeqxtvvPGwc1evXq0DBw7oxBNPbD2WzWb1zDPP6M4771QymZTjOIf18/v93bbUDwAAAAByFfB69ZnT5umDM4/Xsi1btWLnTtUnEvI7Ho0vLdF5kyZp9rChcuwulW/ul0YVlOq2k96jNxurtGzfm62JsAKPTyeWjdE5Q6doVEHp0QcC+gNzqPX2nJ20ePFiXXXVVTr55JM1d+5c3XHHHYrFYrr66qslSVdeeaVGjBihJUuWKBAI6LjjjmvTv7i4WJIOO96e9evXa9euXTrjjDMkSXfddZfuueceTZ8+XXfddVeXa733+QTYO7mue8QnEyxcuFDr1q1rc+zqq6/W1KlT9eUvf7nd5BcAAAAA5FtlOKwPzpqpD87iKfZSyw6haUXDNK1oWL5DASDp/e9/vw4ePKivf/3rqqqq0uzZs/X444+3FsbfuXOn7G5K1H/xi1/Ud7/7XUnSunXrtHjxYn3+85/XU089pcWLF+u+++7r0rh5TYBFo9E2y+K2bdumtWvXqrS0VGVlZbr55pt16aWXatiwYaqurtZdd92lPXv26L3vfW9rn4ULF+ryyy/XDTfcoMLCwsOyiQUFBSorK8spywgAAAAAANBr+skKMEm64YYbdMMNN7T73vLlyzvse//99+c8z7Zt2zR9+nRJ0h//+EddcskluuWWW7RmzRpddNFFOY/zTp1KgL373e/u8P36+vpOTf7SSy9pwYIFra8XL14sSbrqqqt09913680339QDDzyg6upqlZWVac6cOXr22Wc1Y8aM1j5btmxRdXV1p+YFAAAAAABA3+Pz+dTc3CxJeuKJJ3TllVdKkkpLS9XY2NjlcTuVACsqKjrq+28Flov58+eroxr8Dz/88FHH2L59e4fvHy0LCQAAAAAAgL7hjDPO0OLFi3X66afrxRdf1O9+9ztJ0saNGzVy5Mguj9upBFhX91kCAAAAAAAAR3PnnXfq+uuv1x/+8Af99Kc/1YgRIyRJjz32mC644IIuj9vviuADAAAAAABgYBo9erQeffTRw47/4Ac/OKZxSYABAAAAAADkQz8qgt+bstms/vSnP2n9+vWSpBkzZujSSy+V4zhdHpMEGAAAAAAAAPqEzZs366KLLtKePXs0ZcoUSdKSJUs0atQo/e1vf9OECRO6NK7dnUECAAAAAAAAXfXpT39aEyZM0K5du7RmzRqtWbNGO3fu1Lhx4/TpT3+6y+OyAgwAAAAAACAPrEOtt+fsy55++mm98MILKi0tbT1WVlamW2+9VaeffnqXx2UFGAAAAAAAAPoEv9+vpqamw45Ho1H5fL4uj0sCDAAAAAAAIB9Mnlof9q53vUsf//jHtXLlShljZIzRCy+8oOuuu06XXnppl8clAQYAAAAAAIA+4Uc/+pEmTJigefPmKRAIKBAI6PTTT9fEiRP1wx/+sMvjUgMMAAAAAAAgH/KxIquPrwArLi7Wn//8Z23evFnr16+XJE2bNk0TJ048pnFJgAEAAADAAHGgKarlb27Vmp171RhPyu/1aHJluU4YNUzbq+v08s69iiZT8ns8mjqsXAumTdDEyjJZVl8vi507Y4y2xvbp+YOvaVtsn1JuRmFPUMcXj9e88hkq9RXmO0QA7XBdV7fddpv+8pe/KJVKaeHChfrGN76hYDDYLeOTAAMAAACAfq45lda9z67Sk29uVWM8Ice25diWMlmj5zZsUyrjymNbKgoGFPB45BqjV3bt019eflPHjxqqGxaeqhElRfm+jGO2u/mgHtz+D21q2q1ENi2P7ciWpazJ6tX6Lfrznud0evlxev/ocxRwul5MG0D3u/nmm3XTTTdp0aJFCgaD+uEPf6gDBw7ol7/8ZbeMTwIMAAAAAPqxWDKlb/31Sa3avlvhgE/DiyOybUtZ19X2A3VKp13ZlpTJuoomU6ooLFDQ65UxRrFUWi9u3aX/qWvUNy9fpLHlJfm+nC7bHqvS7Rv+TwcTDSryFqjYG26zss01rpoycf1j3ypVJer0mcnvIQmGvLNMS+vtOfuiBx98UD/5yU/03//935KkJ554QhdffLF+8YtfyLaPvYQ9RfABAAAAoB/7yVMv6KUdu1VZWKCSUFC23ZL02VPTqGgiJa/Hkc/rkd/rUSqT1Y6aemVcV5ZlKez3aXhRofbUNeiWR5crlkzl+Wq6pindrDs3PqLqRIOGBIoV8vgP29ZpW7aKvAUq8RXqlbrN+tX2f+YpWgDt2blzpy666KLW14sWLZJlWdq7d2+3jE8CDAAAAAD6qZ219Xpm03ZFAn75vf/e4BNPpdXQ3LIV8q2EmGVZ8nkcJdIZNcQTrec6tq0hkbC2HazVcxu39/YldIsXat7Q3kS1KgJFsq2Of+b6Ha8KPAG9UPOG9idqeylCAEeTyWQUCATaHPN6vUqn090yPlsgAQAAAKCfWrZ+i2LJlEaWRNocr4vG5Rojn9M2GWRZlixLqok2q7QgpLfWSHkdR5akx9dt1HnHTepXRfGzxtVTB16WI1uO5eTUJ+wJan+iTv+qfk3vHnlWD0cIIBfGGH30ox+V3+9vPZZIJHTdddepoKCg9djDDz/cpfFJgAEAAABAP/Xcpu3ye5zDElaNzQnZltVuIsuxbSUyGSUzGQU8//5JGAkGtPlAjfbWN2nEOxJqfdme5oPaG69RoTeUcx/LsuSxHb1Us4EEGNBHXHXVVYcd+/CHP9xt45MAAwAAAIB+qimRlNdpu+rJGKOsa3SkRVyWZcm4RlnXbXPca9tqdt1+VwesOZtQ1rhyjrL18Z08lqOmTHMPRQXkhiL4/3bffff16PjUAAMAAACAfsrjODJq59espfaOtjBvnWIddrhlZVT/+pnoWI66smHTyMhrsyYEGCz61zcbAAAAAKDV2LJixVOZNscsy1LA65HrmnazYK5x5dgtBfHfrjmVUoHPp8pIweGd+rAKf7ECjk/xbLJT/VJuRiODFT0UFZAjk6c2CJEAAwAAAIB+6twZk2RZUiqTlTFSNJHSrpp6RZMppTNZRZNJxVNpZbJZGWOkQ9sji4KBNiu9jDFqTqU1f+p4hQP+Dmbse4p9YZ1cMlWxTLLlGnOQdjOyJJ1RcXzPBgegz2C9JwAAAAD0U6eNH61hRRHtrmtQIpVWPJWRMYfqf1mWZIwyWVdZ15VtWfI4tmzbUmlBsM049fGEgj6vFk6fkJ8LOUZnVhyv52teUzQTP2oxfGOM6lJNGhIo1eySSb0UIXAE+ViRxQowAAAAAEB/4vd6dMXcmWpoTqgxkZRtST6PI6/HI7/PI8uyWovhu8Yolcmq0O9XyOdrHaOhOaFEOqN3n3ScJg8tz9OVHJupkdFaOORENWeTimbiRzzPGKPqZIOCjl9XjTtfPmqAAYMGf+0AAAAA0E8ZY/T0G9sUtD0yjlHGGLmuK8e25diWvF5HqXRGb+0MtC0plkgqkU4rlcmqKZGU3+vRe+ccrytPP0HWkR4d2cdZlqUrRi+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+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(16, 8))\n",
+    "\n",
+    "plt.scatter(\n",
+    "    lonlat[:, 1],\n",
+    "    lonlat[:, 0],\n",
+    "    c=posterior_prevalence.mean((\"chain\", \"draw\")),\n",
+    "    marker=\"o\",\n",
+    "    alpha=0.75,\n",
+    "    s=100,\n",
+    "    edgecolor=None,\n",
+    ")\n",
+    "plt.xlabel(\"Latitude\")\n",
+    "plt.ylabel(\"Longitude\")\n",
+    "plt.title(\"Prevalence of Malaria in the Gambia\")\n",
+    "plt.colorbar(label=\"Posterior mean\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also check if the likelihood (number of individuals who test positive for malaria) agrees with the observed data. As you can see from Figure X, our posterior predictive sample is representative of the observed sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_ppc(ppc, kind=\"cumulative\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Out-of-sample posterior predictions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now that we have validated that we have a representative model that converged, we want to estimate the prevalence of malaria in the surrounding areas to where we have observed data points. Our new dataset will include every longitude and latitude position within the Gambia where we have a measure of elevation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set new values for out-of-sample predictions\n",
+    "new_lonlat = elevations[[\"y\", \"x\"]].to_numpy()\n",
+    "new_elev = elevations[\"elev\"].to_numpy()\n",
+    "new_elev_std = (new_elev - np.mean(new_elev)) / np.std(new_elev)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: []\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5f8ea68437e146d1b3b052a4797bb2e4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with hsgp_model:\n",
+    "    pm.set_data(new_data={\"X\": new_lonlat, \"elevation\": new_elev_std})\n",
+    "    pp = pm.sample_posterior_predictive(hsgp_trace, var_names=[\"p\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "posterior_predictive_prevalence = pp[\"posterior_predictive\"][\"p\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can plot our out-of-sample posterior predictions to visualize the estimated prevalence of malaria across the Gambia. In figure below you'll notice that there is a smooth transition of prevalences surrounding the areas where we observed data in a way where nearer areas have more similar prevalences and as you move away you approach zero (the mean of the guassian process)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(16, 8))\n",
+    "\n",
+    "plt.scatter(\n",
+    "    new_lonlat[:, 1],\n",
+    "    new_lonlat[:, 0],\n",
+    "    c=posterior_predictive_prevalence.mean((\"chain\", \"draw\")),\n",
+    "    marker=\"o\",\n",
+    "    alpha=0.75,\n",
+    "    s=100,\n",
+    "    edgecolor=None,\n",
+    ")\n",
+    "plt.xlabel(\"Latitude\")\n",
+    "plt.ylabel(\"Longitude\")\n",
+    "plt.title(\"Prevalence of Malaria in the Gambia\")\n",
+    "plt.colorbar(label=\"Posterior mean\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Making decisions based on exceedance probabilities"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One way to determine where we might decide to apply interventions is to look at exceedance probabilities of some selected threshold of malaria prevalence. These exeedance probabilities will allow us to incorporate our uncertainty in the prevalences we have estimated instead of just considering the mean of the posterior distribution. For our use case, we decide to set an exceedance threshold of 20% on the prevalance."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "prob_prev_gt_20percent = 1 - (posterior_predictive_prevalence <= 0.2).mean((\"chain\", \"draw\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use the insights gained from the figure below to send out aid to the regions where we are most confident that the prevalence of malaria exceeds 20%."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(16, 8))\n",
+    "\n",
+    "plt.scatter(\n",
+    "    new_lonlat[:, 1],\n",
+    "    new_lonlat[:, 0],\n",
+    "    c=prob_prev_gt_20percent,\n",
+    "    marker=\"o\",\n",
+    "    alpha=0.75,\n",
+    "    s=100,\n",
+    "    edgecolor=None,\n",
+    ")\n",
+    "plt.xlabel(\"Latitude\")\n",
+    "plt.ylabel(\"Longitude\")\n",
+    "plt.title(\"Probability of Malaria Prevelance greater than 20%\")\n",
+    "plt.colorbar(label=\"Posterior mean\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The case-study walked us through how we can utilize an HSGP to include spatial information into our estimates. Specifically, we saw how we can validate our model specification, produce out-of-sample estimates, and how we can use the whole posterior distribution to make decisions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Authors\n",
+    "\n",
+    "* Adapted from {ref}`Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny` by Dr. Paula Moraga ([link](https://www.paulamoraga.com/book-geospatial/index.html))."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# References \n",
+    "\n",
+    ":::{bibliography}\n",
+    ":filter: docname in docnames \n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Watermark"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext watermark\n",
+    "%watermark -n -u -v -iv -w -p xarray"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{include} ../page_footer.md\n",
+    ":::"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "pymc",
+   "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": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/spatial/malaria_prevalence_PyMCv5.myst.md b/examples/spatial/malaria_prevalence_PyMCv5.myst.md
new file mode 100644
index 000000000..eeaa42cb9
--- /dev/null
+++ b/examples/spatial/malaria_prevalence_PyMCv5.myst.md
@@ -0,0 +1,391 @@
+---
+jupytext:
+  text_representation:
+    extension: .md
+    format_name: myst
+    format_version: 0.13
+kernelspec:
+  display_name: pymc
+  language: python
+  name: python3
+---
+
+(The prevalence of malaria in the Gambia)=
+# The prevalence of malaria in the Gambia
+
+:::{post} Aug 04, 2024 
+:tags: spatial, autoregressive, count data
+:category: beginner, tutorial
+:author: Jonathan Dekermanjian, bwengals (please add your name here)
+:::
+
++++
+
+# Imports
+
+```{code-cell} ipython3
+import arviz as az
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import pymc as pm
+import pytensor.tensor as pt
+```
+
+:::{include} ../extra_installs.md
+:::
+
+```{code-cell} ipython3
+# These dependencies need to be installed separately from PyMC
+import folium
+import geopandas as gpd
+import mapclassify
+import rasterio as rio
+
+from pyproj import Transformer
+```
+
+# Introduction
+
++++
+
+Often, we find ourselves with a sample of continuous measurements that are spatially related (Geostatistical data) and our goal is to determine an estimate of that measure in unsampled surrounding areas. In the following case-study we look at the number of individuals who test positive for malaria in our sample of 65 villages across the Gambia region and proceed with estimating the prevalence (total positive / total individuals tested) of malaria within the surrounding areas to the 65 sampled villages. 
+
++++
+
+# Data Processing
+
+```{code-cell} ipython3
+# load the tabular data
+try:
+    gambia = pd.read_csv("../data/gambia_dataset.csv")
+except FileNotFoundError:
+    gambia = pd.read_csv(pm.get_data("gambia_dataset.csv"))
+gambia.head()
+```
+
+```{code-cell} ipython3
+# For each village compute the total tested, total positive, and the prevalence
+gambia_agg = (
+    gambia.groupby(["x", "y"])
+    .agg(total=("x", "size"), positive=("pos", "sum"))
+    .eval("prev = positive / total")
+    .reset_index()
+)
+```
+
+```{code-cell} ipython3
+gambia_agg
+```
+
+```{code-cell} ipython3
+# Create a GeoDataframe and set coordinate reference system to EPSG 4326
+gambia_gpdf = gpd.GeoDataFrame(
+    gambia_agg, geometry=gpd.points_from_xy(gambia_agg["x"], gambia_agg["y"]), crs="EPSG:32628"
+).drop(["x", "y"], axis=1)
+```
+
+```{code-cell} ipython3
+gambia_gpdf_4326 = gambia_gpdf.to_crs(crs="EPSG:4326")
+```
+
+```{code-cell} ipython3
+# Get an interactive plot of the data with a cmap on the prevalence values
+gambia_gpdf_4326.round(2).explore(column="prev")
+```
+
+```{code-cell} ipython3
+# Overlay the raster image of elevations in the Gambia on top of the map
+m = gambia_gpdf_4326.round(2).explore(column="prev")
+
+## Load the elevation rasterfile
+in_path = "../data/GMB_elv_msk.tif"
+
+dst_crs = "EPSG:4326"
+
+with rio.open(in_path) as src:
+
+    img = src.read()
+
+    src_crs = src.crs["init"].upper()
+    min_lon, min_lat, max_lon, max_lat = src.bounds
+    xs = gambia_gpdf_4326["geometry"].x
+    ys = gambia_gpdf_4326["geometry"].y
+    rows, cols = rio.transform.rowcol(src.transform, xs, ys)
+
+## Conversion of elevation locations from UTM to WGS84 CRS
+bounds_orig = [[min_lat, min_lon], [max_lat, max_lon]]
+
+bounds_fin = []
+
+for item in bounds_orig:
+    # converting to lat/lon
+    lat = item[0]
+    lon = item[1]
+
+    proj = Transformer.from_crs(
+        int(src_crs.split(":")[1]), int(dst_crs.split(":")[1]), always_xy=True
+    )
+
+    lon_n, lat_n = proj.transform(lon, lat)
+
+    bounds_fin.append([lat_n, lon_n])
+
+# Finding the center of latitude & longitude
+centre_lon = bounds_fin[0][1] + (bounds_fin[1][1] - bounds_fin[0][1]) / 2
+centre_lat = bounds_fin[0][0] + (bounds_fin[1][0] - bounds_fin[0][0]) / 2
+
+# Overlay raster
+m.add_child(
+    folium.raster_layers.ImageOverlay(
+        img.transpose(1, 2, 0),
+        opacity=0.7,
+        bounds=bounds_fin,
+        overlay=True,
+        control=True,
+        cross_origin=False,
+        zindex=1,
+        colormap=lambda x: (1, 0, 0, x),
+    )
+)
+
+m
+```
+
+```{code-cell} ipython3
+# Pull the elevation values from the raster file and put them into a dataframe
+path = "../data/GMB_elv_msk.tif"
+
+with rio.open(path) as f:
+    arr = f.read(1)
+    mask = arr != f.nodata
+    elev = arr[mask]
+    col, row = np.where(mask)
+    x, y = f.xy(col, row)
+    uid = np.arange(f.height * f.width).reshape((f.height, f.width))[mask]
+
+result = np.rec.fromarrays([uid, x, y, elev], names=["id", "x", "y", "elev"])
+elevations = pd.DataFrame(result)
+elevations = gpd.GeoDataFrame(
+    elevations, geometry=gpd.points_from_xy(elevations["x"], elevations["y"], crs="EPSG:4326")
+)
+```
+
+```{code-cell} ipython3
+# Set coordinate system to EPSG 32628 and spatially join our prevalence dataframe to our elevations dataframe
+elevations = elevations.to_crs(epsg="32628")
+```
+
+```{code-cell} ipython3
+gambia_gpdf = gambia_gpdf.sjoin_nearest(elevations, how="inner")
+```
+
+```{code-cell} ipython3
+# Set CRS to EPSG 4326
+gambia_gpdf_4326 = gambia_gpdf.to_crs(crs="EPSG:4326")
+```
+
+```{code-cell} ipython3
+gambia_gpdf_4326
+```
+
+```{code-cell} ipython3
+# Get relevant measures for modeling
+elev = gambia_gpdf_4326["elev"].values
+pos = gambia_gpdf_4326["positive"].values
+n = gambia_gpdf_4326["total"].values
+lonlat = gambia_gpdf_4326[["y", "x"]].values
+```
+
+```{code-cell} ipython3
+# Standardize elevation values
+elev_std = (elev - np.mean(elev)) / np.std(elev)
+```
+
+# Model Specification
+
++++
+
+We specify the following model:
+$$Y_{i} \sim Binomial(n_{i}, P(x_{i}))$$
+$$logit(P(x_{i})) = \beta_{0} + \beta_{1} \times Elevation + S(x_{i})$$
+
+Where $n_{i}$ represents an individual tested for malaria, $P(x_{i})$ is the prevalence of malaria at location $x_{i}$, $\beta_{0}$ is the intercept, $\beta_{1}$ is the coefficient for the elevation covariate and $S(x_{i})$ is a zero mean field guassian process with a Matérn covariance function with $\nu=\frac{3}{2}$ that we will approximate using a Hilbert Space Gaussian Process (HSGP)
+
+```{code-cell} ipython3
+with pm.Model() as hsgp_model:
+    _X = pm.Data("X", lonlat)
+    _elev = pm.Data("elevation", elev_std)
+
+    ls = pm.Gamma("ls", mu=20, sigma=5)
+    cov_func = pm.gp.cov.Matern32(2, ls=ls)
+    m0, m1, c = 40, 40, 2.5
+    gp = pm.gp.HSGP(m=[m0, m1], c=c, cov_func=cov_func)
+    s = gp.prior("s", X=_X)
+
+    beta_0 = pm.Normal("beta_0", 0, 1)
+    beta_1 = pm.Normal("beta_1", 0, 1)
+
+    p_logit = pm.Deterministic("p_logit", beta_0 + beta_1 * _elev + s)
+    p = pm.Deterministic("p", pm.math.invlogit(p_logit))
+    pm.Binomial("likelihood", n=n, logit_p=p_logit, observed=pos)
+```
+
+```{code-cell} ipython3
+hsgp_model.to_graphviz()
+```
+
+```{code-cell} ipython3
+with hsgp_model:
+    hsgp_trace = pm.sample(1000, tune=2000, target_accept=0.95, nuts_sampler="numpyro")
+```
+
+```{code-cell} ipython3
+az.summary(hsgp_trace, var_names=["ls"])
+```
+
+# Posterior Predictive Checks
+
++++
+
+We need to validate that our model specification properly represents the observed data. We can push out posterior predictions of the prevalence and plot them on a coordinate system to check if they resemble the observed prevalence from our sample
+
+```{code-cell} ipython3
+with hsgp_model:
+    ppc = pm.sample_posterior_predictive(hsgp_trace)
+```
+
+```{code-cell} ipython3
+posterior_prevalence = hsgp_trace["posterior"]["p"]
+```
+
+Refering to the map we plotted above, we can see that our posterior predictions in the figure below agree with the observed sample.
+
+```{code-cell} ipython3
+fig = plt.figure(figsize=(16, 8))
+
+plt.scatter(
+    lonlat[:, 1],
+    lonlat[:, 0],
+    c=posterior_prevalence.mean(("chain", "draw")),
+    marker="o",
+    alpha=0.75,
+    s=100,
+    edgecolor=None,
+)
+plt.xlabel("Latitude")
+plt.ylabel("Longitude")
+plt.title("Prevalence of Malaria in the Gambia")
+plt.colorbar(label="Posterior mean");
+```
+
+We can also check if the likelihood (number of individuals who test positive for malaria) agrees with the observed data. As you can see from Figure X, our posterior predictive sample is representative of the observed sample.
+
+```{code-cell} ipython3
+az.plot_ppc(ppc, kind="cumulative");
+```
+
+# Out-of-sample posterior predictions
+
++++
+
+Now that we have validated that we have a representative model that converged, we want to estimate the prevalence of malaria in the surrounding areas to where we have observed data points. Our new dataset will include every longitude and latitude position within the Gambia where we have a measure of elevation.
+
+```{code-cell} ipython3
+# Set new values for out-of-sample predictions
+new_lonlat = elevations[["y", "x"]].to_numpy()
+new_elev = elevations["elev"].to_numpy()
+new_elev_std = (new_elev - np.mean(new_elev)) / np.std(new_elev)
+```
+
+```{code-cell} ipython3
+with hsgp_model:
+    pm.set_data(new_data={"X": new_lonlat, "elevation": new_elev_std})
+    pp = pm.sample_posterior_predictive(hsgp_trace, var_names=["p"])
+```
+
+```{code-cell} ipython3
+posterior_predictive_prevalence = pp["posterior_predictive"]["p"]
+```
+
+We can plot our out-of-sample posterior predictions to visualize the estimated prevalence of malaria across the Gambia. In figure below you'll notice that there is a smooth transition of prevalences surrounding the areas where we observed data in a way where nearer areas have more similar prevalences and as you move away you approach zero (the mean of the guassian process).
+
+```{code-cell} ipython3
+fig = plt.figure(figsize=(16, 8))
+
+plt.scatter(
+    new_lonlat[:, 1],
+    new_lonlat[:, 0],
+    c=posterior_predictive_prevalence.mean(("chain", "draw")),
+    marker="o",
+    alpha=0.75,
+    s=100,
+    edgecolor=None,
+)
+plt.xlabel("Latitude")
+plt.ylabel("Longitude")
+plt.title("Prevalence of Malaria in the Gambia")
+plt.colorbar(label="Posterior mean");
+```
+
+# Making decisions based on exceedance probabilities
+
++++
+
+One way to determine where we might decide to apply interventions is to look at exceedance probabilities of some selected threshold of malaria prevalence. These exeedance probabilities will allow us to incorporate our uncertainty in the prevalences we have estimated instead of just considering the mean of the posterior distribution. For our use case, we decide to set an exceedance threshold of 20% on the prevalance.
+
+```{code-cell} ipython3
+prob_prev_gt_20percent = 1 - (posterior_predictive_prevalence <= 0.2).mean(("chain", "draw"))
+```
+
+We can use the insights gained from the figure below to send out aid to the regions where we are most confident that the prevalence of malaria exceeds 20%.
+
+```{code-cell} ipython3
+fig = plt.figure(figsize=(16, 8))
+
+plt.scatter(
+    new_lonlat[:, 1],
+    new_lonlat[:, 0],
+    c=prob_prev_gt_20percent,
+    marker="o",
+    alpha=0.75,
+    s=100,
+    edgecolor=None,
+)
+plt.xlabel("Latitude")
+plt.ylabel("Longitude")
+plt.title("Probability of Malaria Prevelance greater than 20%")
+plt.colorbar(label="Posterior mean");
+```
+
+# Conclusion
+
++++
+
+The case-study walked us through how we can utilize an HSGP to include spatial information into our estimates. Specifically, we saw how we can validate our model specification, produce out-of-sample estimates, and how we can use the whole posterior distribution to make decisions.
+
++++
+
+## Authors
+
+* Adapted from {ref}`Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny` by Dr. Paula Moraga ([link](https://www.paulamoraga.com/book-geospatial/index.html)).
+
++++
+
+# References 
+
+:::{bibliography}
+:filter: docname in docnames 
+:::
+
++++
+
+# Watermark
+
+```{code-cell} ipython3
+%load_ext watermark
+%watermark -n -u -v -iv -w -p xarray
+```
+
+:::{include} ../page_footer.md
+:::

From 238b8f7d7867586e0343d0e8204075594e12d8a9 Mon Sep 17 00:00:00 2001
From: Jonathan Dekermanjian 
Date: Sun, 11 Aug 2024 16:17:26 -0600
Subject: [PATCH 2/5] added link to HSGP example, added lengthscale
 interpretation, added explanation to why we use matern vs expquad, added
 acknowledgements section under authors

---
 examples/spatial/malaria_prevalence.ipynb     | 2725 +++++++++++++++++
 ...Cv5.myst.md => malaria_prevalence.myst.md} |  110 +-
 .../spatial/malaria_prevalence_PyMCv5.ipynb   | 2243 --------------
 3 files changed, 2830 insertions(+), 2248 deletions(-)
 create mode 100644 examples/spatial/malaria_prevalence.ipynb
 rename examples/spatial/{malaria_prevalence_PyMCv5.myst.md => malaria_prevalence.myst.md} (69%)
 delete mode 100644 examples/spatial/malaria_prevalence_PyMCv5.ipynb

diff --git a/examples/spatial/malaria_prevalence.ipynb b/examples/spatial/malaria_prevalence.ipynb
new file mode 100644
index 000000000..8822cf37b
--- /dev/null
+++ b/examples/spatial/malaria_prevalence.ipynb
@@ -0,0 +1,2725 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "(The prevalence of malaria in the Gambia)=\n",
+    "# The prevalence of malaria in the Gambia\n",
+    "\n",
+    ":::{post} Aug 04, 2024 \n",
+    ":tags: spatial, autoregressive, count data\n",
+    ":category: beginner, tutorial\n",
+    ":author: Jonathan Dekermanjian\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import arviz as az\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import pymc as pm\n",
+    "import pytensor.tensor as pt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{include} ../extra_installs.md\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# These dependencies need to be installed separately from PyMC\n",
+    "import folium\n",
+    "import geopandas as gpd\n",
+    "import mapclassify\n",
+    "import rasterio as rio\n",
+    "\n",
+    "from pyproj import Transformer"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Often, we find ourselves with a sample of continuous measurements that are spatially related (Geostatistical data) and our goal is to determine an estimate of that measure in unsampled surrounding areas. In the following case-study we look at the number of individuals who test positive for malaria in our sample of 65 villages across the Gambia region and proceed with estimating the prevalence (total positive / total individuals tested) of malaria within the surrounding areas to the 65 sampled villages. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Data Processing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
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+       "\n",
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+       "
Unnamed: 0xyposagenetusetreatedgreenphc
01850349631.31458055117830040.851
11851349631.3145805504041040.851
21852349631.3145805504521040.851
31853349631.3145805515661040.851
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\n",
+       "
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+      ],
+      "text/plain": [
+       "   Unnamed: 0         x        y  pos   age  netuse  treated  green  phc\n",
+       "0        1850  349631.3  1458055    1  1783       0        0  40.85    1\n",
+       "1        1851  349631.3  1458055    0   404       1        0  40.85    1\n",
+       "2        1852  349631.3  1458055    0   452       1        0  40.85    1\n",
+       "3        1853  349631.3  1458055    1   566       1        0  40.85    1\n",
+       "4        1854  349631.3  1458055    0   598       1        0  40.85    1"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# load the tabular data\n",
+    "try:\n",
+    "    gambia = pd.read_csv(\"../data/gambia_dataset.csv\")\n",
+    "except FileNotFoundError:\n",
+    "    gambia = pd.read_csv(pm.get_data(\"gambia_dataset.csv\"))\n",
+    "gambia.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# For each village compute the total tested, total positive, and the prevalence\n",
+    "gambia_agg = (\n",
+    "    gambia.groupby([\"x\", \"y\"])\n",
+    "    .agg(total=(\"x\", \"size\"), positive=(\"pos\", \"sum\"))\n",
+    "    .eval(\"prev = positive / total\")\n",
+    "    .reset_index()\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "
xytotalpositiveprev
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62614722.5147432031130.419355
63620043.1149763313120.923077
64622086.1147401131150.483871
\n",
+       "
65 rows × 5 columns
\n",
+       "
"
+      ],
+      "text/plain": [
+       "           x        y  total  positive      prev\n",
+       "0   349631.3  1458055     33        17  0.515152\n",
+       "1   358543.1  1460112     63        19  0.301587\n",
+       "2   360308.1  1460026     17         7  0.411765\n",
+       "3   363795.7  1496919     24         8  0.333333\n",
+       "4   366400.5  1460248     26        10  0.384615\n",
+       "..       ...      ...    ...       ...       ...\n",
+       "60  613529.5  1473868     28        20  0.714286\n",
+       "61  614665.6  1482815     60        15  0.250000\n",
+       "62  614722.5  1474320     31        13  0.419355\n",
+       "63  620043.1  1497633     13        12  0.923077\n",
+       "64  622086.1  1474011     31        15  0.483871\n",
+       "\n",
+       "[65 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gambia_agg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a GeoDataframe and set coordinate reference system to EPSG 4326\n",
+    "gambia_gpdf = gpd.GeoDataFrame(\n",
+    "    gambia_agg, geometry=gpd.points_from_xy(gambia_agg[\"x\"], gambia_agg[\"y\"]), crs=\"EPSG:32628\"\n",
+    ").drop([\"x\", \"y\"], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
Make this Notebook Trusted to load map: File -> Trust Notebook
"
+      ],
+      "text/plain": [
+       ""
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get an interactive plot of the data with a cmap on the prevalence values\n",
+    "gambia_gpdf_4326.round(2).explore(column=\"prev\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/pymc_examples_contrib/lib/python3.12/site-packages/branca/utilities.py:320: RuntimeWarning: invalid value encountered in cast\n",
+      "  array = array.astype(\"uint8\")\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Make this Notebook Trusted to load map: File -> Trust Notebook
"
+      ],
+      "text/plain": [
+       ""
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Overlay the raster image of elevations in the Gambia on top of the map\n",
+    "m = gambia_gpdf_4326.round(2).explore(column=\"prev\")\n",
+    "\n",
+    "## Load the elevation rasterfile\n",
+    "in_path = \"../data/GMB_elv_msk.tif\"\n",
+    "\n",
+    "dst_crs = \"EPSG:4326\"\n",
+    "\n",
+    "with rio.open(in_path) as src:\n",
+    "\n",
+    "    img = src.read()\n",
+    "\n",
+    "    src_crs = src.crs[\"init\"].upper()\n",
+    "    min_lon, min_lat, max_lon, max_lat = src.bounds\n",
+    "    xs = gambia_gpdf_4326[\"geometry\"].x\n",
+    "    ys = gambia_gpdf_4326[\"geometry\"].y\n",
+    "    rows, cols = rio.transform.rowcol(src.transform, xs, ys)\n",
+    "\n",
+    "## Conversion of elevation locations from UTM to WGS84 CRS\n",
+    "bounds_orig = [[min_lat, min_lon], [max_lat, max_lon]]\n",
+    "\n",
+    "bounds_fin = []\n",
+    "\n",
+    "for item in bounds_orig:\n",
+    "    # converting to lat/lon\n",
+    "    lat = item[0]\n",
+    "    lon = item[1]\n",
+    "\n",
+    "    proj = Transformer.from_crs(\n",
+    "        int(src_crs.split(\":\")[1]), int(dst_crs.split(\":\")[1]), always_xy=True\n",
+    "    )\n",
+    "\n",
+    "    lon_n, lat_n = proj.transform(lon, lat)\n",
+    "\n",
+    "    bounds_fin.append([lat_n, lon_n])\n",
+    "\n",
+    "# Finding the center of latitude & longitude\n",
+    "centre_lon = bounds_fin[0][1] + (bounds_fin[1][1] - bounds_fin[0][1]) / 2\n",
+    "centre_lat = bounds_fin[0][0] + (bounds_fin[1][0] - bounds_fin[0][0]) / 2\n",
+    "\n",
+    "# Overlay raster\n",
+    "m.add_child(\n",
+    "    folium.raster_layers.ImageOverlay(\n",
+    "        img.transpose(1, 2, 0),\n",
+    "        opacity=0.7,\n",
+    "        bounds=bounds_fin,\n",
+    "        overlay=True,\n",
+    "        control=True,\n",
+    "        cross_origin=False,\n",
+    "        zindex=1,\n",
+    "        colormap=lambda x: (1, 0, 0, x),\n",
+    "    )\n",
+    ")\n",
+    "\n",
+    "m"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Pull the elevation values from the raster file and put them into a dataframe\n",
+    "path = \"../data/GMB_elv_msk.tif\"\n",
+    "\n",
+    "with rio.open(path) as f:\n",
+    "    arr = f.read(1)\n",
+    "    mask = arr != f.nodata\n",
+    "    elev = arr[mask]\n",
+    "    col, row = np.where(mask)\n",
+    "    x, y = f.xy(col, row)\n",
+    "    uid = np.arange(f.height * f.width).reshape((f.height, f.width))[mask]\n",
+    "\n",
+    "result = np.rec.fromarrays([uid, x, y, elev], names=[\"id\", \"x\", \"y\", \"elev\"])\n",
+    "elevations = pd.DataFrame(result)\n",
+    "elevations = gpd.GeoDataFrame(\n",
+    "    elevations, geometry=gpd.points_from_xy(elevations[\"x\"], elevations[\"y\"], crs=\"EPSG:4326\")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set coordinate system to EPSG 32628 and spatially join our prevalence dataframe to our elevations dataframe\n",
+    "elevations = elevations.to_crs(epsg=\"32628\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gambia_gpdf = gambia_gpdf.sjoin_nearest(elevations, how=\"inner\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set CRS to EPSG 4326\n",
+    "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "
totalpositiveprevgeometryindex_rightidxyelev
033170.515152POINT (-16.38755 13.18541)1239039649-16.38750013.18750015.0
163190.301587POINT (-16.30543 13.20444)1216638843-16.30416713.20416733.0
21770.411765POINT (-16.28914 13.20374)1216838845-16.28750013.20416732.0
32480.333333POINT (-16.25869 13.53742)342922528-16.26250013.53750020.0
426100.384615POINT (-16.23294 13.20603)1217538852-16.22916713.20416729.0
..............................
6028200.714286POINT (-13.95173 13.32999)1004333005-13.95416713.32916723.0
6160150.250000POINT (-13.94089 13.41084)762128927-13.93750013.41250022.0
6231130.419355POINT (-13.9407 13.33403)987532599-13.93750013.33750025.0
6313120.923077POINT (-13.89061 13.54459)365822812-13.89583313.53750017.0
6431150.483871POINT (-13.87273 13.33094)1005333015-13.87083313.32916748.0
\n",
+       "
65 rows × 9 columns
\n",
+       "
"
+      ],
+      "text/plain": [
+       "    total  positive      prev                    geometry  index_right     id  \\\n",
+       "0      33        17  0.515152  POINT (-16.38755 13.18541)        12390  39649   \n",
+       "1      63        19  0.301587  POINT (-16.30543 13.20444)        12166  38843   \n",
+       "2      17         7  0.411765  POINT (-16.28914 13.20374)        12168  38845   \n",
+       "3      24         8  0.333333  POINT (-16.25869 13.53742)         3429  22528   \n",
+       "4      26        10  0.384615  POINT (-16.23294 13.20603)        12175  38852   \n",
+       "..    ...       ...       ...                         ...          ...    ...   \n",
+       "60     28        20  0.714286  POINT (-13.95173 13.32999)        10043  33005   \n",
+       "61     60        15  0.250000  POINT (-13.94089 13.41084)         7621  28927   \n",
+       "62     31        13  0.419355   POINT (-13.9407 13.33403)         9875  32599   \n",
+       "63     13        12  0.923077  POINT (-13.89061 13.54459)         3658  22812   \n",
+       "64     31        15  0.483871  POINT (-13.87273 13.33094)        10053  33015   \n",
+       "\n",
+       "            x          y  elev  \n",
+       "0  -16.387500  13.187500  15.0  \n",
+       "1  -16.304167  13.204167  33.0  \n",
+       "2  -16.287500  13.204167  32.0  \n",
+       "3  -16.262500  13.537500  20.0  \n",
+       "4  -16.229167  13.204167  29.0  \n",
+       "..        ...        ...   ...  \n",
+       "60 -13.954167  13.329167  23.0  \n",
+       "61 -13.937500  13.412500  22.0  \n",
+       "62 -13.937500  13.337500  25.0  \n",
+       "63 -13.895833  13.537500  17.0  \n",
+       "64 -13.870833  13.329167  48.0  \n",
+       "\n",
+       "[65 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gambia_gpdf_4326"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get relevant measures for modeling\n",
+    "elev = gambia_gpdf_4326[\"elev\"].values\n",
+    "pos = gambia_gpdf_4326[\"positive\"].values\n",
+    "n = gambia_gpdf_4326[\"total\"].values\n",
+    "lonlat = gambia_gpdf_4326[[\"y\", \"x\"]].values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Standardize elevation values\n",
+    "elev_std = (elev - np.mean(elev)) / np.std(elev)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set a seed for reproducibility of results\n",
+    "seed: int = sum(map(ord, \"spatialmalaria\"))\n",
+    "rng: np.random.Generator = np.random.default_rng(seed=seed)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Model Specification"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We specify the following model:\n",
+    "$$Y_{i} \\sim Binomial(n_{i}, P(x_{i}))$$\n",
+    "$$logit(P(x_{i})) = \\beta_{0} + \\beta_{1} \\times Elevation + S(x_{i})$$\n",
+    "\n",
+    "Where $n_{i}$ represents an individual tested for malaria, $P(x_{i})$ is the prevalence of malaria at location $x_{i}$, $\\beta_{0}$ is the intercept, $\\beta_{1}$ is the coefficient for the elevation covariate and $S(x_{i})$ is a zero mean field guassian process with a Matérn covariance function with $\\nu=\\frac{3}{2}$ that we will approximate using a Hilbert Space Gaussian Process (HSGP)\n",
+    "\n",
+    "In order to approximate a Gaussian process using an HSGP we need to select the parameters `m` and `c`. To learn more about how to set these parameters please refer to this wonderful ([example](../gaussian_processes/HSGP-Basic.myst.md)) of how to set these parameters."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with pm.Model() as hsgp_model:\n",
+    "    _X = pm.Data(\"X\", lonlat)\n",
+    "    _elev = pm.Data(\"elevation\", elev_std)\n",
+    "\n",
+    "    ls = pm.Gamma(\"ls\", mu=20, sigma=5)\n",
+    "    cov_func = pm.gp.cov.Matern32(2, ls=ls)\n",
+    "    m0, m1, c = 40, 40, 2.5\n",
+    "    gp = pm.gp.HSGP(m=[m0, m1], c=c, cov_func=cov_func)\n",
+    "    s = gp.prior(\"s\", X=_X)\n",
+    "\n",
+    "    beta_0 = pm.Normal(\"beta_0\", 0, 1)\n",
+    "    beta_1 = pm.Normal(\"beta_1\", 0, 1)\n",
+    "\n",
+    "    p_logit = pm.Deterministic(\"p_logit\", beta_0 + beta_1 * _elev + s)\n",
+    "    p = pm.Deterministic(\"p\", pm.math.invlogit(p_logit))\n",
+    "    pm.Binomial(\"likelihood\", n=n, logit_p=p_logit, observed=pos)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "cluster65 x 2\n",
+       "\n",
+       "65 x 2\n",
+       "\n",
+       "\n",
+       "cluster65\n",
+       "\n",
+       "65\n",
+       "\n",
+       "\n",
+       "cluster1600\n",
+       "\n",
+       "1600\n",
+       "\n",
+       "\n",
+       "\n",
+       "X\n",
+       "\n",
+       "X\n",
+       "~\n",
+       "Data\n",
+       "\n",
+       "\n",
+       "\n",
+       "s\n",
+       "\n",
+       "s\n",
+       "~\n",
+       "Deterministic\n",
+       "\n",
+       "\n",
+       "\n",
+       "X->s\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "p\n",
+       "\n",
+       "p\n",
+       "~\n",
+       "Deterministic\n",
+       "\n",
+       "\n",
+       "\n",
+       "elevation\n",
+       "\n",
+       "elevation\n",
+       "~\n",
+       "Data\n",
+       "\n",
+       "\n",
+       "\n",
+       "p_logit\n",
+       "\n",
+       "p_logit\n",
+       "~\n",
+       "Deterministic\n",
+       "\n",
+       "\n",
+       "\n",
+       "elevation->p_logit\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "p_logit->p\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "likelihood\n",
+       "\n",
+       "likelihood\n",
+       "~\n",
+       "Binomial\n",
+       "\n",
+       "\n",
+       "\n",
+       "p_logit->likelihood\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "s->p_logit\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "ls\n",
+       "\n",
+       "ls\n",
+       "~\n",
+       "Gamma\n",
+       "\n",
+       "\n",
+       "\n",
+       "ls->s\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "beta_0\n",
+       "\n",
+       "beta_0\n",
+       "~\n",
+       "Normal\n",
+       "\n",
+       "\n",
+       "\n",
+       "beta_0->p_logit\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "beta_1\n",
+       "\n",
+       "beta_1\n",
+       "~\n",
+       "Normal\n",
+       "\n",
+       "\n",
+       "\n",
+       "beta_1->p_logit\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "s_hsgp_coeffs_\n",
+       "\n",
+       "s_hsgp_coeffs_\n",
+       "~\n",
+       "Normal\n",
+       "\n",
+       "\n",
+       "\n",
+       "s_hsgp_coeffs_->s\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n"
+      ],
+      "text/plain": [
+       ""
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hsgp_model.to_graphviz()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9c43df24feac41a0ab40cb75efbe52f4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:00 1s:\n",
+      "\n",
+      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmp6iu5odcg\" source_line=25}\n",
+      "\n",
+      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
+      "\n",
+      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
+      "2024-08-11 15:19:22.525931: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 23.207112s\n",
+      "Constant folding an instruction is taking > 1s:\n",
+      "\n",
+      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmp6iu5odcg\" source_line=25}\n",
+      "\n",
+      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
+      "\n",
+      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n"
+     ]
+    }
+   ],
+   "source": [
+    "with hsgp_model:\n",
+    "    hsgp_trace = pm.sample(\n",
+    "        1000, tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\", random_seed=rng\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " The posterior mean of the length scale is 0.21 (shown below). Therefore, we can expect the gaussian mean to decay towards 0 (since we set a 0 mean function) as we move 0.21 degrees away from any sampled point on the map. While this is not a hard cut-off due to the lengthscale not being constrained by the observed data it is still useful to be able to intuit how the lengthscale effects the estimation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "\n",
+       "\n",
+       "  \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "  \n",
+       "  \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "  \n",
+       "
meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
ls0.2050.1660.1130.2850.0190.013466.0184.01.01
\n",
+       "
"
+      ],
+      "text/plain": [
+       "     mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "ls  0.205  0.166   0.113    0.285      0.019    0.013     466.0     184.0   \n",
+       "\n",
+       "    r_hat  \n",
+       "ls   1.01  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(hsgp_trace, var_names=[\"ls\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Posterior Predictive Checks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We need to validate that our model specification properly represents the observed data. We can push out posterior predictions of the prevalence and plot them on a coordinate system to check if they resemble the observed prevalence from our sample"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [likelihood]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "eff807c56da247f8b9f6570447638309",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with hsgp_model:\n",
+    "    ppc = pm.sample_posterior_predictive(hsgp_trace, random_seed=rng)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "posterior_prevalence = hsgp_trace[\"posterior\"][\"p\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Refering to the map we plotted above, we can see that our posterior predictions in the figure below agree with the observed sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(16, 8))\n",
+    "\n",
+    "plt.scatter(\n",
+    "    lonlat[:, 1],\n",
+    "    lonlat[:, 0],\n",
+    "    c=posterior_prevalence.mean((\"chain\", \"draw\")),\n",
+    "    marker=\"o\",\n",
+    "    alpha=0.75,\n",
+    "    s=100,\n",
+    "    edgecolor=None,\n",
+    ")\n",
+    "plt.xlabel(\"Latitude\")\n",
+    "plt.ylabel(\"Longitude\")\n",
+    "plt.title(\"Prevalence of Malaria in the Gambia\")\n",
+    "plt.colorbar(label=\"Posterior mean\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also check if the likelihood (number of individuals who test positive for malaria) agrees with the observed data. As you can see in the below figure, our posterior predictive sample is representative of the observed sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_ppc(ppc, kind=\"cumulative\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Out-of-sample posterior predictions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now that we have validated that we have a representative model that converged, we want to estimate the prevalence of malaria in the surrounding areas to where we have observed data points. Our new dataset will include every longitude and latitude position within the Gambia where we have a measure of elevation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set new values for out-of-sample predictions\n",
+    "new_lonlat = elevations[[\"y\", \"x\"]].to_numpy()\n",
+    "new_elev = elevations[\"elev\"].to_numpy()\n",
+    "new_elev_std = (new_elev - np.mean(new_elev)) / np.std(new_elev)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: []\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f44d676abbbe4d2f9402df1cab8544a6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with hsgp_model:\n",
+    "    pm.set_data(new_data={\"X\": new_lonlat, \"elevation\": new_elev_std})\n",
+    "    pp = pm.sample_posterior_predictive(hsgp_trace, var_names=[\"p\"], random_seed=rng)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "posterior_predictive_prevalence = pp[\"posterior_predictive\"][\"p\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can plot our out-of-sample posterior predictions to visualize the estimated prevalence of malaria across the Gambia. In figure below you'll notice that there is a smooth transition of prevalences surrounding the areas where we observed data in a way where nearer areas have more similar prevalences and as you move away you approach zero (the mean of the guassian process)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(16, 8))\n",
+    "\n",
+    "plt.scatter(\n",
+    "    new_lonlat[:, 1],\n",
+    "    new_lonlat[:, 0],\n",
+    "    c=posterior_predictive_prevalence.mean((\"chain\", \"draw\")),\n",
+    "    marker=\"o\",\n",
+    "    alpha=0.75,\n",
+    "    s=100,\n",
+    "    edgecolor=None,\n",
+    ")\n",
+    "plt.xlabel(\"Latitude\")\n",
+    "plt.ylabel(\"Longitude\")\n",
+    "plt.title(\"Prevalence of Malaria in the Gambia\")\n",
+    "plt.colorbar(label=\"Posterior mean\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Making decisions based on exceedance probabilities"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One way to determine where we might decide to apply interventions is to look at exceedance probabilities of some selected threshold of malaria prevalence. These exeedance probabilities will allow us to incorporate our uncertainty in the prevalences we have estimated instead of just considering the mean of the posterior distribution. For our use case, we decide to set an exceedance threshold of 20% on the prevalance."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "prob_prev_gt_20percent = 1 - (posterior_predictive_prevalence <= 0.2).mean((\"chain\", \"draw\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use the insights gained from the figure below to send out aid to the regions where we are most confident that the prevalence of malaria exceeds 20%."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(16, 8))\n",
+    "\n",
+    "plt.scatter(\n",
+    "    new_lonlat[:, 1],\n",
+    "    new_lonlat[:, 0],\n",
+    "    c=prob_prev_gt_20percent,\n",
+    "    marker=\"o\",\n",
+    "    alpha=0.75,\n",
+    "    s=100,\n",
+    "    edgecolor=None,\n",
+    ")\n",
+    "plt.xlabel(\"Latitude\")\n",
+    "plt.ylabel(\"Longitude\")\n",
+    "plt.title(\"Probability of Malaria Prevelance greater than 20%\")\n",
+    "plt.colorbar(label=\"Posterior mean\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Different Covariance Functions\n",
+    "Before we conclude let's talk breifly about why we decided to use the Matérn family of covariance functions instead of the Exponential Quadratic. The Matérn family of covariances is a generalization of the Exponential Quadtratic. When the smooting paramter of the Matérn $\\nu \\to \\infty$ then we have the Exponential Quadratic covariance function. As the smoothing parameter increases the function you are estimating becomes smoother. A few commonly used values for $\\nu$ are $\\frac{1}{2}$, $\\frac{3}{2}$, and $\\frac{5}{2}$. Typically, when estimating a measure that has a spatial dependence we don't want an overly smooth function because that will prevent our estimate to capture abrupt changes in the measurement we are estimating. Below we simulate some data to show how the Matérn is able to capture these abrupt changes, whereas the Exponential Quadratic is overly smooth. For simplicity's sake we will be working in one dimension but these concepts apply with two-dimensional data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# simulate 1-dimensional data\n",
+    "x = np.linspace(0, 10, 20)\n",
+    "y = list()\n",
+    "for v in x:\n",
+    "    # introduce abrupt changes\n",
+    "    if v > 3 and v < 7:\n",
+    "        y.append(np.array(10.0))\n",
+    "    else:\n",
+    "        y.append(np.array(3.0))\n",
+    "y = np.array(y).ravel()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1d2b5e6d21994933967bf647b065be84",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/2000 [00:00 2s:\n",
+      "\n",
+      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.41, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpgkbsy19m\" source_line=29}\n",
+      "\n",
+      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
+      "\n",
+      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
+      "2024-08-11 15:37:48.768388: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 29.408388s\n",
+      "Constant folding an instruction is taking > 2s:\n",
+      "\n",
+      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.41, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpgkbsy19m\" source_line=29}\n",
+      "\n",
+      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
+      "\n",
+      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
+      "There were 36 divergences after tuning. Increase `target_accept` or reparameterize.\n",
+      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fit a GP using HSGP to model to simulated data\n",
+    "with pm.Model() as matern_model:\n",
+    "    _X = pm.Data(\"X\", x[:, None])\n",
+    "    measurement_error = pm.HalfNormal(\"measurement_error\", 1)\n",
+    "\n",
+    "    ls = pm.Gamma(\"ls\", 0.5, 1)\n",
+    "    eta = pm.Exponential(\"eta\", scale=4.0)\n",
+    "    cov_func = eta**2 * pm.gp.cov.Matern32(input_dim=1, ls=ls)\n",
+    "    m0, c = 2000, 70.0\n",
+    "    gp = pm.gp.HSGP(m=[m0], c=c, cov_func=cov_func)\n",
+    "    s = gp.prior(\"s\", X=_X)\n",
+    "\n",
+    "    pm.Normal(\"likelihood\", mu=s, sigma=measurement_error, observed=y)\n",
+    "    matern_idata = pm.sample(nuts_sampler=\"numpyro\", target_accept=0.95, random_seed=rng)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [likelihood]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e53b17d0fafa482dbcd73ad5f15ce4c5",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with matern_model:\n",
+    "    ppc = pm.sample_posterior_predictive(matern_idata, random_seed=rng)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_mean_ppc = ppc[\"posterior_predictive\"][\"likelihood\"].mean((\"chain\", \"draw\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       ""
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the estimated function against the true function\n",
+    "plt.plot(x, y_mean_ppc, c=\"k\", label=\"estimated function\")\n",
+    "plt.scatter(x, y, label=\"true function\")\n",
+    "plt.legend(loc=\"best\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "49c6b46323e042faa3255f87fd2cfd9a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/2000 [00:00 4s:\n",
+      "\n",
+      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.35, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpxk2unsey\" source_line=27}\n",
+      "\n",
+      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
+      "\n",
+      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
+      "2024-08-11 15:38:38.544939: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 29.324453s\n",
+      "Constant folding an instruction is taking > 4s:\n",
+      "\n",
+      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.35, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpxk2unsey\" source_line=27}\n",
+      "\n",
+      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
+      "\n",
+      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
+      "There were 23 divergences after tuning. Increase `target_accept` or reparameterize.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Fit a EXPQUAD GP using HSGP to model to simulated data\n",
+    "with pm.Model() as expquad_model:\n",
+    "    _X = pm.Data(\"X\", x[:, None])\n",
+    "    measurement_error = pm.HalfNormal(\"measurement_error\", 1)\n",
+    "\n",
+    "    ls = pm.Gamma(\"ls\", 0.5, 1)\n",
+    "    eta = pm.Exponential(\"eta\", scale=4.0)\n",
+    "    cov_func = eta**2 * pm.gp.cov.ExpQuad(input_dim=1, ls=ls)\n",
+    "    m0, c = 2000, 70.0\n",
+    "    gp = pm.gp.HSGP(m=[m0], c=c, cov_func=cov_func)\n",
+    "    s = gp.prior(\"s\", X=_X)\n",
+    "\n",
+    "    pm.Normal(\"likelihood\", mu=s, sigma=measurement_error, observed=y)\n",
+    "    expquad_idata = pm.sample(nuts_sampler=\"numpyro\", target_accept=0.95, random_seed=rng)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [likelihood]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b171981b8a78482f982ba42e3763f595",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with expquad_model:\n",
+    "    ppc = pm.sample_posterior_predictive(expquad_idata, random_seed=rng)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_mean_ppc = ppc[\"posterior_predictive\"][\"likelihood\"].mean((\"chain\", \"draw\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       ""
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "
"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the estimated function against the true function\n",
+    "plt.plot(x, y_mean_ppc, c=\"k\", label=\"estimated function\")\n",
+    "plt.scatter(x, y, label=\"true function\")\n",
+    "plt.legend(loc=\"best\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As you can see from the above figures. The Exponential Quadratic covariance function is too slow to capture the abrupt change but also overshoots the change due to being overly smooth. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The case-study walked us through how we can utilize an HSGP to include spatial information into our estimates. Specifically, we saw how we can validate our model specification, produce out-of-sample estimates, and how we can use the whole posterior distribution to make decisions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Authors\n",
+    "\n",
+    "* Adapted from {ref}`Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny` by Dr. Paula Moraga ([link](https://www.paulamoraga.com/book-geospatial/index.html)).\n",
+    "### Acknowledgments\n",
+    "* Bill Engels who encouraged, reviewed, and provided feedback to this example"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# References \n",
+    "\n",
+    ":::{bibliography}\n",
+    ":filter: docname in docnames \n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Watermark"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Last updated: Sun Aug 11 2024\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.12.4\n",
+      "IPython version      : 8.26.0\n",
+      "\n",
+      "xarray: 2024.7.0\n",
+      "\n",
+      "pandas     : 2.2.2\n",
+      "mapclassify: 2.8.0\n",
+      "arviz      : 0.19.0\n",
+      "geopandas  : 1.0.1\n",
+      "pymc       : 5.16.2\n",
+      "folium     : 0.17.0\n",
+      "rasterio   : 1.3.10\n",
+      "numpy      : 1.26.4\n",
+      "pytensor   : 2.25.2\n",
+      "matplotlib : 3.9.1\n",
+      "\n",
+      "Watermark: 2.4.3\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext watermark\n",
+    "%watermark -n -u -v -iv -w -p xarray"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{include} ../page_footer.md\n",
+    ":::"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "pymc",
+   "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": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/spatial/malaria_prevalence_PyMCv5.myst.md b/examples/spatial/malaria_prevalence.myst.md
similarity index 69%
rename from examples/spatial/malaria_prevalence_PyMCv5.myst.md
rename to examples/spatial/malaria_prevalence.myst.md
index eeaa42cb9..b478d41b8 100644
--- a/examples/spatial/malaria_prevalence_PyMCv5.myst.md
+++ b/examples/spatial/malaria_prevalence.myst.md
@@ -16,7 +16,7 @@ kernelspec:
 :::{post} Aug 04, 2024 
 :tags: spatial, autoregressive, count data
 :category: beginner, tutorial
-:author: Jonathan Dekermanjian, bwengals (please add your name here)
+:author: Jonathan Dekermanjian
 :::
 
 +++
@@ -202,6 +202,12 @@ lonlat = gambia_gpdf_4326[["y", "x"]].values
 elev_std = (elev - np.mean(elev)) / np.std(elev)
 ```
 
+```{code-cell} ipython3
+# Set a seed for reproducibility of results
+seed: int = sum(map(ord, "spatialmalaria"))
+rng: np.random.Generator = np.random.default_rng(seed=seed)
+```
+
 # Model Specification
 
 +++
@@ -212,6 +218,8 @@ $$logit(P(x_{i})) = \beta_{0} + \beta_{1} \times Elevation + S(x_{i})$$
 
 Where $n_{i}$ represents an individual tested for malaria, $P(x_{i})$ is the prevalence of malaria at location $x_{i}$, $\beta_{0}$ is the intercept, $\beta_{1}$ is the coefficient for the elevation covariate and $S(x_{i})$ is a zero mean field guassian process with a Matérn covariance function with $\nu=\frac{3}{2}$ that we will approximate using a Hilbert Space Gaussian Process (HSGP)
 
+In order to approximate a Gaussian process using an HSGP we need to select the parameters `m` and `c`. To learn more about how to set these parameters please refer to this wonderful ([example](../gaussian_processes/HSGP-Basic.myst.md)) of how to set these parameters.
+
 ```{code-cell} ipython3
 with pm.Model() as hsgp_model:
     _X = pm.Data("X", lonlat)
@@ -237,9 +245,13 @@ hsgp_model.to_graphviz()
 
 ```{code-cell} ipython3
 with hsgp_model:
-    hsgp_trace = pm.sample(1000, tune=2000, target_accept=0.95, nuts_sampler="numpyro")
+    hsgp_trace = pm.sample(
+        1000, tune=2000, target_accept=0.95, nuts_sampler="numpyro", random_seed=rng
+    )
 ```
 
+ The posterior mean of the length scale is 0.21 (shown below). Therefore, we can expect the gaussian mean to decay towards 0 (since we set a 0 mean function) as we move 0.21 degrees away from any sampled point on the map. While this is not a hard cut-off due to the lengthscale not being constrained by the observed data it is still useful to be able to intuit how the lengthscale effects the estimation.
+
 ```{code-cell} ipython3
 az.summary(hsgp_trace, var_names=["ls"])
 ```
@@ -252,7 +264,7 @@ We need to validate that our model specification properly represents the observe
 
 ```{code-cell} ipython3
 with hsgp_model:
-    ppc = pm.sample_posterior_predictive(hsgp_trace)
+    ppc = pm.sample_posterior_predictive(hsgp_trace, random_seed=rng)
 ```
 
 ```{code-cell} ipython3
@@ -279,7 +291,7 @@ plt.title("Prevalence of Malaria in the Gambia")
 plt.colorbar(label="Posterior mean");
 ```
 
-We can also check if the likelihood (number of individuals who test positive for malaria) agrees with the observed data. As you can see from Figure X, our posterior predictive sample is representative of the observed sample.
+We can also check if the likelihood (number of individuals who test positive for malaria) agrees with the observed data. As you can see in the below figure, our posterior predictive sample is representative of the observed sample.
 
 ```{code-cell} ipython3
 az.plot_ppc(ppc, kind="cumulative");
@@ -301,7 +313,7 @@ new_elev_std = (new_elev - np.mean(new_elev)) / np.std(new_elev)
 ```{code-cell} ipython3
 with hsgp_model:
     pm.set_data(new_data={"X": new_lonlat, "elevation": new_elev_std})
-    pp = pm.sample_posterior_predictive(hsgp_trace, var_names=["p"])
+    pp = pm.sample_posterior_predictive(hsgp_trace, var_names=["p"], random_seed=rng)
 ```
 
 ```{code-cell} ipython3
@@ -358,6 +370,92 @@ plt.title("Probability of Malaria Prevelance greater than 20%")
 plt.colorbar(label="Posterior mean");
 ```
 
+# Different Covariance Functions
+Before we conclude let's talk breifly about why we decided to use the Matérn family of covariance functions instead of the Exponential Quadratic. The Matérn family of covariances is a generalization of the Exponential Quadtratic. When the smooting paramter of the Matérn $\nu \to \infty$ then we have the Exponential Quadratic covariance function. As the smoothing parameter increases the function you are estimating becomes smoother. A few commonly used values for $\nu$ are $\frac{1}{2}$, $\frac{3}{2}$, and $\frac{5}{2}$. Typically, when estimating a measure that has a spatial dependence we don't want an overly smooth function because that will prevent our estimate to capture abrupt changes in the measurement we are estimating. Below we simulate some data to show how the Matérn is able to capture these abrupt changes, whereas the Exponential Quadratic is overly smooth. For simplicity's sake we will be working in one dimension but these concepts apply with two-dimensional data.
+
+```{code-cell} ipython3
+# simulate 1-dimensional data
+x = np.linspace(0, 10, 20)
+y = list()
+for v in x:
+    # introduce abrupt changes
+    if v > 3 and v < 7:
+        y.append(np.array(10.0))
+    else:
+        y.append(np.array(3.0))
+y = np.array(y).ravel()
+```
+
+```{code-cell} ipython3
+# Fit a GP using HSGP to model to simulated data
+with pm.Model() as matern_model:
+    _X = pm.Data("X", x[:, None])
+    measurement_error = pm.HalfNormal("measurement_error", 1)
+
+    ls = pm.Gamma("ls", 0.5, 1)
+    eta = pm.Exponential("eta", scale=4.0)
+    cov_func = eta**2 * pm.gp.cov.Matern32(input_dim=1, ls=ls)
+    m0, c = 2000, 70.0
+    gp = pm.gp.HSGP(m=[m0], c=c, cov_func=cov_func)
+    s = gp.prior("s", X=_X)
+
+    pm.Normal("likelihood", mu=s, sigma=measurement_error, observed=y)
+    matern_idata = pm.sample(nuts_sampler="numpyro", target_accept=0.95, random_seed=rng)
+```
+
+```{code-cell} ipython3
+with matern_model:
+    ppc = pm.sample_posterior_predictive(matern_idata, random_seed=rng)
+```
+
+```{code-cell} ipython3
+y_mean_ppc = ppc["posterior_predictive"]["likelihood"].mean(("chain", "draw"))
+```
+
+```{code-cell} ipython3
+# Plot the estimated function against the true function
+plt.plot(x, y_mean_ppc, c="k", label="estimated function")
+plt.scatter(x, y, label="true function")
+plt.legend(loc="best")
+```
+
+```{code-cell} ipython3
+# Fit a EXPQUAD GP using HSGP to model to simulated data
+with pm.Model() as expquad_model:
+    _X = pm.Data("X", x[:, None])
+    measurement_error = pm.HalfNormal("measurement_error", 1)
+
+    ls = pm.Gamma("ls", 0.5, 1)
+    eta = pm.Exponential("eta", scale=4.0)
+    cov_func = eta**2 * pm.gp.cov.ExpQuad(input_dim=1, ls=ls)
+    m0, c = 2000, 70.0
+    gp = pm.gp.HSGP(m=[m0], c=c, cov_func=cov_func)
+    s = gp.prior("s", X=_X)
+
+    pm.Normal("likelihood", mu=s, sigma=measurement_error, observed=y)
+    expquad_idata = pm.sample(nuts_sampler="numpyro", target_accept=0.95, random_seed=rng)
+```
+
+```{code-cell} ipython3
+with expquad_model:
+    ppc = pm.sample_posterior_predictive(expquad_idata, random_seed=rng)
+```
+
+```{code-cell} ipython3
+y_mean_ppc = ppc["posterior_predictive"]["likelihood"].mean(("chain", "draw"))
+```
+
+```{code-cell} ipython3
+# Plot the estimated function against the true function
+plt.plot(x, y_mean_ppc, c="k", label="estimated function")
+plt.scatter(x, y, label="true function")
+plt.legend(loc="best")
+```
+
+As you can see from the above figures. The Exponential Quadratic covariance function is too slow to capture the abrupt change but also overshoots the change due to being overly smooth. 
+
++++
+
 # Conclusion
 
 +++
@@ -369,6 +467,8 @@ The case-study walked us through how we can utilize an HSGP to include spatial i
 ## Authors
 
 * Adapted from {ref}`Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny` by Dr. Paula Moraga ([link](https://www.paulamoraga.com/book-geospatial/index.html)).
+### Acknowledgments
+* Bill Engels who encouraged, reviewed, and provided feedback to this example
 
 +++
 
diff --git a/examples/spatial/malaria_prevalence_PyMCv5.ipynb b/examples/spatial/malaria_prevalence_PyMCv5.ipynb
deleted file mode 100644
index e8810872e..000000000
--- a/examples/spatial/malaria_prevalence_PyMCv5.ipynb
+++ /dev/null
@@ -1,2243 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "(The prevalence of malaria in the Gambia)=\n",
-    "# The prevalence of malaria in the Gambia\n",
-    "\n",
-    ":::{post} Aug 04, 2024 \n",
-    ":tags: spatial, autoregressive, count data\n",
-    ":category: beginner, tutorial\n",
-    ":author: Jonathan Dekermanjian, bwengals (please add your name here)\n",
-    ":::"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Imports"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import arviz as az\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import pymc as pm\n",
-    "import pytensor.tensor as pt"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    ":::{include} ../extra_installs.md\n",
-    ":::"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# These dependencies need to be installed separately from PyMC\n",
-    "import folium\n",
-    "import geopandas as gpd\n",
-    "import mapclassify\n",
-    "import rasterio as rio\n",
-    "\n",
-    "from pyproj import Transformer"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Introduction"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Often, we find ourselves with a sample of continuous measurements that are spatially related (Geostatistical data) and our goal is to determine an estimate of that measure in unsampled surrounding areas. In the following case-study we look at the number of individuals who test positive for malaria in our sample of 65 villages across the Gambia region and proceed with estimating the prevalence (total positive / total individuals tested) of malaria within the surrounding areas to the 65 sampled villages. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Data Processing"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "
Unnamed: 0xyposagenetusetreatedgreenphc
01850349631.31458055117830040.851
11851349631.3145805504041040.851
21852349631.3145805504521040.851
31853349631.3145805515661040.851
41854349631.3145805505981040.851
\n",
-       "
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-      ],
-      "text/plain": [
-       "   Unnamed: 0         x        y  pos   age  netuse  treated  green  phc\n",
-       "0        1850  349631.3  1458055    1  1783       0        0  40.85    1\n",
-       "1        1851  349631.3  1458055    0   404       1        0  40.85    1\n",
-       "2        1852  349631.3  1458055    0   452       1        0  40.85    1\n",
-       "3        1853  349631.3  1458055    1   566       1        0  40.85    1\n",
-       "4        1854  349631.3  1458055    0   598       1        0  40.85    1"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# load the tabular data\n",
-    "try:\n",
-    "    gambia = pd.read_csv(\"../data/gambia_dataset.csv\")\n",
-    "except FileNotFoundError:\n",
-    "    gambia = pd.read_csv(pm.get_data(\"gambia_dataset.csv\"))\n",
-    "gambia.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# For each village compute the total tested, total positive, and the prevalence\n",
-    "gambia_agg = (\n",
-    "    gambia.groupby([\"x\", \"y\"])\n",
-    "    .agg(total=(\"x\", \"size\"), positive=(\"pos\", \"sum\"))\n",
-    "    .eval(\"prev = positive / total\")\n",
-    "    .reset_index()\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
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-       "
xytotalpositiveprev
0349631.3145805533170.515152
1358543.1146011263190.301587
2360308.114600261770.411765
3363795.714969192480.333333
4366400.5146024826100.384615
..................
60613529.5147386828200.714286
61614665.6148281560150.250000
62614722.5147432031130.419355
63620043.1149763313120.923077
64622086.1147401131150.483871
\n",
-       "
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\n",
-       "
"
-      ],
-      "text/plain": [
-       "           x        y  total  positive      prev\n",
-       "0   349631.3  1458055     33        17  0.515152\n",
-       "1   358543.1  1460112     63        19  0.301587\n",
-       "2   360308.1  1460026     17         7  0.411765\n",
-       "3   363795.7  1496919     24         8  0.333333\n",
-       "4   366400.5  1460248     26        10  0.384615\n",
-       "..       ...      ...    ...       ...       ...\n",
-       "60  613529.5  1473868     28        20  0.714286\n",
-       "61  614665.6  1482815     60        15  0.250000\n",
-       "62  614722.5  1474320     31        13  0.419355\n",
-       "63  620043.1  1497633     13        12  0.923077\n",
-       "64  622086.1  1474011     31        15  0.483871\n",
-       "\n",
-       "[65 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gambia_agg"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create a GeoDataframe and set coordinate reference system to EPSG 4326\n",
-    "gambia_gpdf = gpd.GeoDataFrame(\n",
-    "    gambia_agg, geometry=gpd.points_from_xy(gambia_agg[\"x\"], gambia_agg[\"y\"]), crs=\"EPSG:32628\"\n",
-    ").drop([\"x\", \"y\"], axis=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
Make this Notebook Trusted to load map: File -> Trust Notebook
"
-      ],
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Get an interactive plot of the data with a cmap on the prevalence values\n",
-    "gambia_gpdf_4326.round(2).explore(column=\"prev\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/miniconda3/envs/pymc_examples_contrib/lib/python3.12/site-packages/branca/utilities.py:320: RuntimeWarning: invalid value encountered in cast\n",
-      "  array = array.astype(\"uint8\")\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Make this Notebook Trusted to load map: File -> Trust Notebook
"
-      ],
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Overlay the raster image of elevations in the Gambia on top of the map\n",
-    "m = gambia_gpdf_4326.round(2).explore(column=\"prev\")\n",
-    "\n",
-    "## Load the elevation rasterfile\n",
-    "in_path = \"../data/GMB_elv_msk.tif\"\n",
-    "\n",
-    "dst_crs = \"EPSG:4326\"\n",
-    "\n",
-    "with rio.open(in_path) as src:\n",
-    "\n",
-    "    img = src.read()\n",
-    "\n",
-    "    src_crs = src.crs[\"init\"].upper()\n",
-    "    min_lon, min_lat, max_lon, max_lat = src.bounds\n",
-    "    xs = gambia_gpdf_4326[\"geometry\"].x\n",
-    "    ys = gambia_gpdf_4326[\"geometry\"].y\n",
-    "    rows, cols = rio.transform.rowcol(src.transform, xs, ys)\n",
-    "\n",
-    "## Conversion of elevation locations from UTM to WGS84 CRS\n",
-    "bounds_orig = [[min_lat, min_lon], [max_lat, max_lon]]\n",
-    "\n",
-    "bounds_fin = []\n",
-    "\n",
-    "for item in bounds_orig:\n",
-    "    # converting to lat/lon\n",
-    "    lat = item[0]\n",
-    "    lon = item[1]\n",
-    "\n",
-    "    proj = Transformer.from_crs(\n",
-    "        int(src_crs.split(\":\")[1]), int(dst_crs.split(\":\")[1]), always_xy=True\n",
-    "    )\n",
-    "\n",
-    "    lon_n, lat_n = proj.transform(lon, lat)\n",
-    "\n",
-    "    bounds_fin.append([lat_n, lon_n])\n",
-    "\n",
-    "# Finding the center of latitude & longitude\n",
-    "centre_lon = bounds_fin[0][1] + (bounds_fin[1][1] - bounds_fin[0][1]) / 2\n",
-    "centre_lat = bounds_fin[0][0] + (bounds_fin[1][0] - bounds_fin[0][0]) / 2\n",
-    "\n",
-    "# Overlay raster\n",
-    "m.add_child(\n",
-    "    folium.raster_layers.ImageOverlay(\n",
-    "        img.transpose(1, 2, 0),\n",
-    "        opacity=0.7,\n",
-    "        bounds=bounds_fin,\n",
-    "        overlay=True,\n",
-    "        control=True,\n",
-    "        cross_origin=False,\n",
-    "        zindex=1,\n",
-    "        colormap=lambda x: (1, 0, 0, x),\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "m"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Pull the elevation values from the raster file and put them into a dataframe\n",
-    "path = \"../data/GMB_elv_msk.tif\"\n",
-    "\n",
-    "with rio.open(path) as f:\n",
-    "    arr = f.read(1)\n",
-    "    mask = arr != f.nodata\n",
-    "    elev = arr[mask]\n",
-    "    col, row = np.where(mask)\n",
-    "    x, y = f.xy(col, row)\n",
-    "    uid = np.arange(f.height * f.width).reshape((f.height, f.width))[mask]\n",
-    "\n",
-    "result = np.rec.fromarrays([uid, x, y, elev], names=[\"id\", \"x\", \"y\", \"elev\"])\n",
-    "elevations = pd.DataFrame(result)\n",
-    "elevations = gpd.GeoDataFrame(\n",
-    "    elevations, geometry=gpd.points_from_xy(elevations[\"x\"], elevations[\"y\"], crs=\"EPSG:4326\")\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set coordinate system to EPSG 32628 and spatially join our prevalence dataframe to our elevations dataframe\n",
-    "elevations = elevations.to_crs(epsg=\"32628\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "gambia_gpdf = gambia_gpdf.sjoin_nearest(elevations, how=\"inner\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set CRS to EPSG 4326\n",
-    "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
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totalpositiveprevgeometryindex_rightidxyelev
033170.515152POINT (-16.38755 13.18541)1239039649-16.38750013.18750015.0
163190.301587POINT (-16.30543 13.20444)1216638843-16.30416713.20416733.0
21770.411765POINT (-16.28914 13.20374)1216838845-16.28750013.20416732.0
32480.333333POINT (-16.25869 13.53742)342922528-16.26250013.53750020.0
426100.384615POINT (-16.23294 13.20603)1217538852-16.22916713.20416729.0
..............................
6028200.714286POINT (-13.95173 13.32999)1004333005-13.95416713.32916723.0
6160150.250000POINT (-13.94089 13.41084)762128927-13.93750013.41250022.0
6231130.419355POINT (-13.9407 13.33403)987532599-13.93750013.33750025.0
6313120.923077POINT (-13.89061 13.54459)365822812-13.89583313.53750017.0
6431150.483871POINT (-13.87273 13.33094)1005333015-13.87083313.32916748.0
\n",
-       "
65 rows × 9 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "    total  positive      prev                    geometry  index_right     id  \\\n",
-       "0      33        17  0.515152  POINT (-16.38755 13.18541)        12390  39649   \n",
-       "1      63        19  0.301587  POINT (-16.30543 13.20444)        12166  38843   \n",
-       "2      17         7  0.411765  POINT (-16.28914 13.20374)        12168  38845   \n",
-       "3      24         8  0.333333  POINT (-16.25869 13.53742)         3429  22528   \n",
-       "4      26        10  0.384615  POINT (-16.23294 13.20603)        12175  38852   \n",
-       "..    ...       ...       ...                         ...          ...    ...   \n",
-       "60     28        20  0.714286  POINT (-13.95173 13.32999)        10043  33005   \n",
-       "61     60        15  0.250000  POINT (-13.94089 13.41084)         7621  28927   \n",
-       "62     31        13  0.419355   POINT (-13.9407 13.33403)         9875  32599   \n",
-       "63     13        12  0.923077  POINT (-13.89061 13.54459)         3658  22812   \n",
-       "64     31        15  0.483871  POINT (-13.87273 13.33094)        10053  33015   \n",
-       "\n",
-       "            x          y  elev  \n",
-       "0  -16.387500  13.187500  15.0  \n",
-       "1  -16.304167  13.204167  33.0  \n",
-       "2  -16.287500  13.204167  32.0  \n",
-       "3  -16.262500  13.537500  20.0  \n",
-       "4  -16.229167  13.204167  29.0  \n",
-       "..        ...        ...   ...  \n",
-       "60 -13.954167  13.329167  23.0  \n",
-       "61 -13.937500  13.412500  22.0  \n",
-       "62 -13.937500  13.337500  25.0  \n",
-       "63 -13.895833  13.537500  17.0  \n",
-       "64 -13.870833  13.329167  48.0  \n",
-       "\n",
-       "[65 rows x 9 columns]"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gambia_gpdf_4326"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get relevant measures for modeling\n",
-    "elev = gambia_gpdf_4326[\"elev\"].values\n",
-    "pos = gambia_gpdf_4326[\"positive\"].values\n",
-    "n = gambia_gpdf_4326[\"total\"].values\n",
-    "lonlat = gambia_gpdf_4326[[\"y\", \"x\"]].values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Standardize elevation values\n",
-    "elev_std = (elev - np.mean(elev)) / np.std(elev)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Model Specification"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We specify the following model:\n",
-    "$$Y_{i} \\sim Binomial(n_{i}, P(x_{i}))$$\n",
-    "$$logit(P(x_{i})) = \\beta_{0} + \\beta_{1} \\times Elevation + S(x_{i})$$\n",
-    "\n",
-    "Where $n_{i}$ represents an individual tested for malaria, $P(x_{i})$ is the prevalence of malaria at location $x_{i}$, $\\beta_{0}$ is the intercept, $\\beta_{1}$ is the coefficient for the elevation covariate and $S(x_{i})$ is a zero mean field guassian process with a Matérn covariance function with $\\nu=\\frac{3}{2}$ that we will approximate using a Hilbert Space Gaussian Process (HSGP)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with pm.Model() as hsgp_model:\n",
-    "    _X = pm.Data(\"X\", lonlat)\n",
-    "    _elev = pm.Data(\"elevation\", elev_std)\n",
-    "\n",
-    "    ls = pm.Gamma(\"ls\", mu=20, sigma=5)\n",
-    "    cov_func = pm.gp.cov.Matern32(2, ls=ls)\n",
-    "    m0, m1, c = 40, 40, 2.5\n",
-    "    gp = pm.gp.HSGP(m=[m0, m1], c=c, cov_func=cov_func)\n",
-    "    s = gp.prior(\"s\", X=_X)\n",
-    "\n",
-    "    beta_0 = pm.Normal(\"beta_0\", 0, 1)\n",
-    "    beta_1 = pm.Normal(\"beta_1\", 0, 1)\n",
-    "\n",
-    "    p_logit = pm.Deterministic(\"p_logit\", beta_0 + beta_1 * _elev + s)\n",
-    "    p = pm.Deterministic(\"p\", pm.math.invlogit(p_logit))\n",
-    "    pm.Binomial(\"likelihood\", n=n, logit_p=p_logit, observed=pos)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/svg+xml": [
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "cluster65 x 2\n",
-       "\n",
-       "65 x 2\n",
-       "\n",
-       "\n",
-       "cluster65\n",
-       "\n",
-       "65\n",
-       "\n",
-       "\n",
-       "cluster1600\n",
-       "\n",
-       "1600\n",
-       "\n",
-       "\n",
-       "\n",
-       "X\n",
-       "\n",
-       "X\n",
-       "~\n",
-       "Data\n",
-       "\n",
-       "\n",
-       "\n",
-       "s\n",
-       "\n",
-       "s\n",
-       "~\n",
-       "Deterministic\n",
-       "\n",
-       "\n",
-       "\n",
-       "X->s\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "elevation\n",
-       "\n",
-       "elevation\n",
-       "~\n",
-       "Data\n",
-       "\n",
-       "\n",
-       "\n",
-       "p_logit\n",
-       "\n",
-       "p_logit\n",
-       "~\n",
-       "Deterministic\n",
-       "\n",
-       "\n",
-       "\n",
-       "elevation->p_logit\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "p\n",
-       "\n",
-       "p\n",
-       "~\n",
-       "Deterministic\n",
-       "\n",
-       "\n",
-       "\n",
-       "likelihood\n",
-       "\n",
-       "likelihood\n",
-       "~\n",
-       "Binomial\n",
-       "\n",
-       "\n",
-       "\n",
-       "s->p_logit\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "p_logit->p\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "p_logit->likelihood\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "beta_0\n",
-       "\n",
-       "beta_0\n",
-       "~\n",
-       "Normal\n",
-       "\n",
-       "\n",
-       "\n",
-       "beta_0->p_logit\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "beta_1\n",
-       "\n",
-       "beta_1\n",
-       "~\n",
-       "Normal\n",
-       "\n",
-       "\n",
-       "\n",
-       "beta_1->p_logit\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "ls\n",
-       "\n",
-       "ls\n",
-       "~\n",
-       "Gamma\n",
-       "\n",
-       "\n",
-       "\n",
-       "ls->s\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "s_hsgp_coeffs_\n",
-       "\n",
-       "s_hsgp_coeffs_\n",
-       "~\n",
-       "Normal\n",
-       "\n",
-       "\n",
-       "\n",
-       "s_hsgp_coeffs_->s\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n"
-      ],
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "hsgp_model.to_graphviz()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9e0d7968ca2345e08c8e3bc7b7828bf1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/3000 [00:00 1s:\n",
-      "\n",
-      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpec6a_3ly\" source_line=25}\n",
-      "\n",
-      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
-      "\n",
-      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "2024-08-03 15:37:19.424253: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 17.065954s\n",
-      "Constant folding an instruction is taking > 1s:\n",
-      "\n",
-      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpec6a_3ly\" source_line=25}\n",
-      "\n",
-      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
-      "\n",
-      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n"
-     ]
-    }
-   ],
-   "source": [
-    "with hsgp_model:\n",
-    "    hsgp_trace = pm.sample(1000, tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
ls0.1870.0490.1080.2710.0010.0011940.02243.01.0
\n",
-       "
"
-      ],
-      "text/plain": [
-       "     mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "ls  0.187  0.049   0.108    0.271      0.001    0.001    1940.0    2243.0   \n",
-       "\n",
-       "    r_hat  \n",
-       "ls    1.0  "
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "az.summary(hsgp_trace, var_names=[\"ls\"])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Posterior Predictive Checks"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We need to validate that our model specification properly represents the observed data. We can push out posterior predictions of the prevalence and plot them on a coordinate system to check if they resemble the observed prevalence from our sample"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [likelihood]\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a1a35842df11404f8870f79888e939bd",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with hsgp_model:\n",
-    "    ppc = pm.sample_posterior_predictive(hsgp_trace)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "posterior_prevalence = hsgp_trace[\"posterior\"][\"p\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Refering to the map we plotted above, we can see that our posterior predictions in the figure below agree with the observed sample."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(16, 8))\n",
-    "\n",
-    "plt.scatter(\n",
-    "    lonlat[:, 1],\n",
-    "    lonlat[:, 0],\n",
-    "    c=posterior_prevalence.mean((\"chain\", \"draw\")),\n",
-    "    marker=\"o\",\n",
-    "    alpha=0.75,\n",
-    "    s=100,\n",
-    "    edgecolor=None,\n",
-    ")\n",
-    "plt.xlabel(\"Latitude\")\n",
-    "plt.ylabel(\"Longitude\")\n",
-    "plt.title(\"Prevalence of Malaria in the Gambia\")\n",
-    "plt.colorbar(label=\"Posterior mean\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can also check if the likelihood (number of individuals who test positive for malaria) agrees with the observed data. As you can see from Figure X, our posterior predictive sample is representative of the observed sample."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "az.plot_ppc(ppc, kind=\"cumulative\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Out-of-sample posterior predictions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now that we have validated that we have a representative model that converged, we want to estimate the prevalence of malaria in the surrounding areas to where we have observed data points. Our new dataset will include every longitude and latitude position within the Gambia where we have a measure of elevation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set new values for out-of-sample predictions\n",
-    "new_lonlat = elevations[[\"y\", \"x\"]].to_numpy()\n",
-    "new_elev = elevations[\"elev\"].to_numpy()\n",
-    "new_elev_std = (new_elev - np.mean(new_elev)) / np.std(new_elev)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: []\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5f8ea68437e146d1b3b052a4797bb2e4",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with hsgp_model:\n",
-    "    pm.set_data(new_data={\"X\": new_lonlat, \"elevation\": new_elev_std})\n",
-    "    pp = pm.sample_posterior_predictive(hsgp_trace, var_names=[\"p\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "posterior_predictive_prevalence = pp[\"posterior_predictive\"][\"p\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can plot our out-of-sample posterior predictions to visualize the estimated prevalence of malaria across the Gambia. In figure below you'll notice that there is a smooth transition of prevalences surrounding the areas where we observed data in a way where nearer areas have more similar prevalences and as you move away you approach zero (the mean of the guassian process)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(16, 8))\n",
-    "\n",
-    "plt.scatter(\n",
-    "    new_lonlat[:, 1],\n",
-    "    new_lonlat[:, 0],\n",
-    "    c=posterior_predictive_prevalence.mean((\"chain\", \"draw\")),\n",
-    "    marker=\"o\",\n",
-    "    alpha=0.75,\n",
-    "    s=100,\n",
-    "    edgecolor=None,\n",
-    ")\n",
-    "plt.xlabel(\"Latitude\")\n",
-    "plt.ylabel(\"Longitude\")\n",
-    "plt.title(\"Prevalence of Malaria in the Gambia\")\n",
-    "plt.colorbar(label=\"Posterior mean\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Making decisions based on exceedance probabilities"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One way to determine where we might decide to apply interventions is to look at exceedance probabilities of some selected threshold of malaria prevalence. These exeedance probabilities will allow us to incorporate our uncertainty in the prevalences we have estimated instead of just considering the mean of the posterior distribution. For our use case, we decide to set an exceedance threshold of 20% on the prevalance."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "prob_prev_gt_20percent = 1 - (posterior_predictive_prevalence <= 0.2).mean((\"chain\", \"draw\"))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can use the insights gained from the figure below to send out aid to the regions where we are most confident that the prevalence of malaria exceeds 20%."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(16, 8))\n",
-    "\n",
-    "plt.scatter(\n",
-    "    new_lonlat[:, 1],\n",
-    "    new_lonlat[:, 0],\n",
-    "    c=prob_prev_gt_20percent,\n",
-    "    marker=\"o\",\n",
-    "    alpha=0.75,\n",
-    "    s=100,\n",
-    "    edgecolor=None,\n",
-    ")\n",
-    "plt.xlabel(\"Latitude\")\n",
-    "plt.ylabel(\"Longitude\")\n",
-    "plt.title(\"Probability of Malaria Prevelance greater than 20%\")\n",
-    "plt.colorbar(label=\"Posterior mean\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Conclusion"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The case-study walked us through how we can utilize an HSGP to include spatial information into our estimates. Specifically, we saw how we can validate our model specification, produce out-of-sample estimates, and how we can use the whole posterior distribution to make decisions."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Authors\n",
-    "\n",
-    "* Adapted from {ref}`Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny` by Dr. Paula Moraga ([link](https://www.paulamoraga.com/book-geospatial/index.html))."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# References \n",
-    "\n",
-    ":::{bibliography}\n",
-    ":filter: docname in docnames \n",
-    ":::"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Watermark"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%load_ext watermark\n",
-    "%watermark -n -u -v -iv -w -p xarray"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    ":::{include} ../page_footer.md\n",
-    ":::"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "pymc",
-   "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": "3.12.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

From 1d2e9717791c9727cc128b18f45f887854427886 Mon Sep 17 00:00:00 2001
From: Jonathan Dekermanjian 
Date: Sat, 24 Aug 2024 17:31:39 -0600
Subject: [PATCH 3/5] added coordinate reference system explanation and data
 processing narrative, made the graph after inference clearer, fixed typos

---
 examples/spatial/malaria_prevalence.ipynb   | 810 ++++++++------------
 examples/spatial/malaria_prevalence.myst.md |  61 +-
 2 files changed, 381 insertions(+), 490 deletions(-)

diff --git a/examples/spatial/malaria_prevalence.ipynb b/examples/spatial/malaria_prevalence.ipynb
index 8822cf37b..f4001a2b1 100644
--- a/examples/spatial/malaria_prevalence.ipynb
+++ b/examples/spatial/malaria_prevalence.ipynb
@@ -7,7 +7,7 @@
     "(The prevalence of malaria in the Gambia)=\n",
     "# The prevalence of malaria in the Gambia\n",
     "\n",
-    ":::{post} Aug 04, 2024 \n",
+    ":::{post} Aug 24, 2024 \n",
     ":tags: spatial, autoregressive, count data\n",
     ":category: beginner, tutorial\n",
     ":author: Jonathan Dekermanjian\n",
@@ -205,23 +205,15 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 4,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# For each village compute the total tested, total positive, and the prevalence\n",
-    "gambia_agg = (\n",
-    "    gambia.groupby([\"x\", \"y\"])\n",
-    "    .agg(total=(\"x\", \"size\"), positive=(\"pos\", \"sum\"))\n",
-    "    .eval(\"prev = positive / total\")\n",
-    "    .reset_index()\n",
-    ")"
+    "The data are currently on the individual person level but for our purposes we need it to be on the village level. We will aggregate the data by village to compute the total number of people tested, the number of people who tested positive, and the sample prevalence; which will be computed by dividing the total tested positive by the total tested individuals."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -293,109 +285,59 @@
        "      10\n",
        "      0.384615\n",
        "    \n",
-       "    \n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "    \n",
-       "    \n",
-       "      60\n",
-       "      613529.5\n",
-       "      1473868\n",
-       "      28\n",
-       "      20\n",
-       "      0.714286\n",
-       "    \n",
-       "    \n",
-       "      61\n",
-       "      614665.6\n",
-       "      1482815\n",
-       "      60\n",
-       "      15\n",
-       "      0.250000\n",
-       "    \n",
-       "    \n",
-       "      62\n",
-       "      614722.5\n",
-       "      1474320\n",
-       "      31\n",
-       "      13\n",
-       "      0.419355\n",
-       "    \n",
-       "    \n",
-       "      63\n",
-       "      620043.1\n",
-       "      1497633\n",
-       "      13\n",
-       "      12\n",
-       "      0.923077\n",
-       "    \n",
-       "    \n",
-       "      64\n",
-       "      622086.1\n",
-       "      1474011\n",
-       "      31\n",
-       "      15\n",
-       "      0.483871\n",
-       "    \n",
        "  \n",
        "\n",
-       "
65 rows × 5 columns
\n",
        ""
       ],
       "text/plain": [
-       "           x        y  total  positive      prev\n",
-       "0   349631.3  1458055     33        17  0.515152\n",
-       "1   358543.1  1460112     63        19  0.301587\n",
-       "2   360308.1  1460026     17         7  0.411765\n",
-       "3   363795.7  1496919     24         8  0.333333\n",
-       "4   366400.5  1460248     26        10  0.384615\n",
-       "..       ...      ...    ...       ...       ...\n",
-       "60  613529.5  1473868     28        20  0.714286\n",
-       "61  614665.6  1482815     60        15  0.250000\n",
-       "62  614722.5  1474320     31        13  0.419355\n",
-       "63  620043.1  1497633     13        12  0.923077\n",
-       "64  622086.1  1474011     31        15  0.483871\n",
-       "\n",
-       "[65 rows x 5 columns]"
+       "          x        y  total  positive      prev\n",
+       "0  349631.3  1458055     33        17  0.515152\n",
+       "1  358543.1  1460112     63        19  0.301587\n",
+       "2  360308.1  1460026     17         7  0.411765\n",
+       "3  363795.7  1496919     24         8  0.333333\n",
+       "4  366400.5  1460248     26        10  0.384615"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "gambia_agg"
+    "# For each village compute the total tested, total positive, and the prevalence\n",
+    "gambia_agg = (\n",
+    "    gambia.groupby([\"x\", \"y\"])\n",
+    "    .agg(total=(\"x\", \"size\"), positive=(\"pos\", \"sum\"))\n",
+    "    .eval(\"prev = positive / total\")\n",
+    "    .reset_index()\n",
+    ")\n",
+    "gambia_agg.head()"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 6,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# Create a GeoDataframe and set coordinate reference system to EPSG 4326\n",
-    "gambia_gpdf = gpd.GeoDataFrame(\n",
-    "    gambia_agg, geometry=gpd.points_from_xy(gambia_agg[\"x\"], gambia_agg[\"y\"]), crs=\"EPSG:32628\"\n",
-    ").drop([\"x\", \"y\"], axis=1)"
+    "We need to convert our dataframe into a geodataframe. In order to do this we need to know what coordinate reference system (CRS) either geographic coordinate system (GCS) or projected coordinate system (PCS) to use. GCS tells you where your data is on the earth, whereas PCS tells you how to draw your data on a two-dimensional plane. There are many different GCS/PCS because each GCS/PCS is a model of the earth's surface. However, the earth's surface is variable from one location to another. Therefore, different GCS/PCS versions will be more accurate depending on the geography your analysis is based in. Since our analysis is in the Gambia we will use PCS [EPSG 32628](https://epsg.io/32628) and GCS [EPSG 4326](https://epsg.io/4326) when plotting on a globe. Where EPSG stands for European Petroluem Survey Group, which is an organization that maintains geodetic parameters for coordinate systems."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Create a GeoDataframe and set coordinate reference system to EPSG 4326\n",
+    "gambia_gpdf = gpd.GeoDataFrame(\n",
+    "    gambia_agg, geometry=gpd.points_from_xy(gambia_agg[\"x\"], gambia_agg[\"y\"]), crs=\"EPSG:32628\"\n",
+    ").drop([\"x\", \"y\"], axis=1)\n",
+    "\n",
     "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -428,7 +370,7 @@
        "            <meta name="viewport" content="width=device-width,\n",
        "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
        "            <style>\n",
-       "                #map_30f00dc92fa8f524cea71bbc10da3401 {\n",
+       "                #map_11f853473c857a98b5d589b0b7b3db3e {\n",
        "                    position: relative;\n",
        "                    width: 100.0%;\n",
        "                    height: 100.0%;\n",
@@ -459,14 +401,14 @@
        "<body>\n",
        "    \n",
        "    \n",
-       "            <div class="folium-map" id="map_30f00dc92fa8f524cea71bbc10da3401" ></div>\n",
+       "            <div class="folium-map" id="map_11f853473c857a98b5d589b0b7b3db3e" ></div>\n",
        "        \n",
        "</body>\n",
        "<script>\n",
        "    \n",
        "    \n",
-       "            var map_30f00dc92fa8f524cea71bbc10da3401 = L.map(\n",
-       "                "map_30f00dc92fa8f524cea71bbc10da3401",\n",
+       "            var map_11f853473c857a98b5d589b0b7b3db3e = L.map(\n",
+       "                "map_11f853473c857a98b5d589b0b7b3db3e",\n",
        "                {\n",
        "                    center: [13.424895869843876, -15.13013903053501],\n",
        "                    crs: L.CRS.EPSG3857,\n",
@@ -475,28 +417,28 @@
        "                    preferCanvas: false,\n",
        "                }\n",
        "            );\n",
-       "            L.control.scale().addTo(map_30f00dc92fa8f524cea71bbc10da3401);\n",
+       "            L.control.scale().addTo(map_11f853473c857a98b5d589b0b7b3db3e);\n",
        "\n",
        "            \n",
        "\n",
        "        \n",
        "    \n",
-       "            var tile_layer_23cd8bfae886b7c6506ae2f7bb8e0ed4 = L.tileLayer(\n",
+       "            var tile_layer_16c8c321751323b887840a5ef427746e = L.tileLayer(\n",
        "                "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
        "                {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            tile_layer_23cd8bfae886b7c6506ae2f7bb8e0ed4.addTo(map_30f00dc92fa8f524cea71bbc10da3401);\n",
+       "            tile_layer_16c8c321751323b887840a5ef427746e.addTo(map_11f853473c857a98b5d589b0b7b3db3e);\n",
        "        \n",
        "    \n",
-       "            map_30f00dc92fa8f524cea71bbc10da3401.fitBounds(\n",
+       "            map_11f853473c857a98b5d589b0b7b3db3e.fitBounds(\n",
        "                [[13.185409602758718, -16.38755103466753], [13.664382136929033, -13.87272702640249]],\n",
        "                {}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "        function geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_styler(feature) {\n",
+       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_styler(feature) {\n",
        "            switch(feature.id) {\n",
        "                case "0": \n",
        "                    return {"color": "#1f9f88", "fillColor": "#1f9f88", "fillOpacity": 0.5, "weight": 2};\n",
@@ -588,52 +530,52 @@
        "                    return {"color": "#31688e", "fillColor": "#31688e", "fillOpacity": 0.5, "weight": 2};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_highlighter(feature) {\n",
+       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_highlighter(feature) {\n",
        "            switch(feature.id) {\n",
        "                default:\n",
        "                    return {"fillOpacity": 0.75};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_pointToLayer(feature, latlng) {\n",
+       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_pointToLayer(feature, latlng) {\n",
        "            var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n",
        "            \n",
-       "            let style = geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_styler(feature)\n",
+       "            let style = geo_json_443c4f559b07d7abbfe147b939d06b62_styler(feature)\n",
        "            Object.assign(opts, style)\n",
        "            \n",
        "            return new L.CircleMarker(latlng, opts)\n",
        "        }\n",
        "\n",
-       "        function geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_onEachFeature(feature, layer) {\n",
+       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_onEachFeature(feature, layer) {\n",
        "            layer.on({\n",
        "                mouseout: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                            geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0.resetStyle(e.target);\n",
+       "                            geo_json_443c4f559b07d7abbfe147b939d06b62.resetStyle(e.target);\n",
        "                    }\n",
        "                },\n",
        "                mouseover: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                        const highlightStyle = geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_highlighter(e.target.feature)\n",
+       "                        const highlightStyle = geo_json_443c4f559b07d7abbfe147b939d06b62_highlighter(e.target.feature)\n",
        "                        e.target.setStyle(highlightStyle);\n",
        "                    }\n",
        "                },\n",
        "            });\n",
        "        };\n",
-       "        var geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0 = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_onEachFeature,\n",
+       "        var geo_json_443c4f559b07d7abbfe147b939d06b62 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_443c4f559b07d7abbfe147b939d06b62_onEachFeature,\n",
        "            \n",
-       "                style: geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_styler,\n",
-       "                pointToLayer: geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_pointToLayer,\n",
+       "                style: geo_json_443c4f559b07d7abbfe147b939d06b62_styler,\n",
+       "                pointToLayer: geo_json_443c4f559b07d7abbfe147b939d06b62_pointToLayer,\n",
        "        });\n",
        "\n",
-       "        function geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_add (data) {\n",
-       "            geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0\n",
+       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_add (data) {\n",
+       "            geo_json_443c4f559b07d7abbfe147b939d06b62\n",
        "                .addData(data);\n",
        "        }\n",
-       "            geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0_add({"bbox": [-16.38755103466753, 13.185409602758718, -13.87272702640249, 13.664382136929033], "features": [{"bbox": [-16.38755103466753, 13.185409602758718, -16.38755103466753, 13.185409602758718], "geometry": {"coordinates": [-16.38755103466753, 13.185409602758718], "type": "Point"}, "id": "0", "properties": {"__folium_color": "#1f9f88", "positive": 17, "prev": 0.52, "total": 33}, "type": "Feature"}, {"bbox": [-16.305430234499706, 13.204437271999842, -16.305430234499706, 13.204437271999842], "geometry": {"coordinates": [-16.305430234499706, 13.204437271999842], "type": "Point"}, "id": "1", "properties": {"__folium_color": "#32658e", "positive": 19, "prev": 0.3, "total": 63}, "type": "Feature"}, {"bbox": [-16.289140839656273, 13.2037423480732, -16.289140839656273, 13.2037423480732], "geometry": {"coordinates": [-16.289140839656273, 13.2037423480732], "type": "Point"}, "id": "2", "properties": {"__folium_color": "#26828e", "positive": 7, "prev": 0.41, "total": 17}, "type": "Feature"}, {"bbox": [-16.258690817948374, 13.537424833752462, -16.258690817948374, 13.537424833752462], "geometry": {"coordinates": [-16.258690817948374, 13.537424833752462], "type": "Point"}, "id": "3", "properties": {"__folium_color": "#2e6d8e", "positive": 8, "prev": 0.33, "total": 24}, "type": "Feature"}, {"bbox": [-16.232936845491317, 13.206026267030222, -16.232936845491317, 13.206026267030222], "geometry": {"coordinates": [-16.232936845491317, 13.206026267030222], "type": "Point"}, "id": "4", "properties": {"__folium_color": "#297a8e", "positive": 10, "prev": 0.38, "total": 26}, "type": "Feature"}, {"bbox": [-16.230413470612547, 13.230936455110243, -16.230413470612547, 13.230936455110243], "geometry": {"coordinates": [-16.230413470612547, 13.230936455110243], "type": "Point"}, "id": "5", "properties": {"__folium_color": "#287d8e", "positive": 7, "prev": 0.39, "total": 18}, "type": "Feature"}, {"bbox": [-16.214312387056786, 13.2090173879772, -16.214312387056786, 13.2090173879772], "geometry": {"coordinates": [-16.214312387056786, 13.2090173879772], "type": "Point"}, "id": "6", "properties": {"__folium_color": "#3aba76", "positive": 24, "prev": 0.63, "total": 38}, "type": "Feature"}, {"bbox": [-16.196039752086218, 13.206680516633568, -16.196039752086218, 13.206680516633568], "geometry": {"coordinates": [-16.196039752086218, 13.206680516633568], "type": "Point"}, "id": "7", "properties": {"__folium_color": "#472e7c", "positive": 7, "prev": 0.12, "total": 56}, "type": "Feature"}, {"bbox": [-16.195685574387834, 13.561872253697977, -16.195685574387834, 13.561872253697977], "geometry": {"coordinates": [-16.195685574387834, 13.561872253697977], "type": "Point"}, "id": "8", "properties": {"__folium_color": "#472a7a", "positive": 6, "prev": 0.11, "total": 57}, "type": "Feature"}, {"bbox": [-16.160881527382056, 13.578336767380913, -16.160881527382056, 13.578336767380913], "geometry": {"coordinates": [-16.160881527382056, 13.578336767380913], "type": "Point"}, "id": "9", "properties": {"__folium_color": "#31688e", "positive": 8, "prev": 0.31, "total": 26}, "type": "Feature"}, {"bbox": [-16.136420958699553, 13.5296475443355, -16.136420958699553, 13.5296475443355], "geometry": {"coordinates": [-16.136420958699553, 13.5296475443355], "type": "Point"}, "id": "10", "properties": {"__folium_color": "#404588", "positive": 6, "prev": 0.19, "total": 31}, "type": "Feature"}, {"bbox": [-16.12385873694554, 13.199566919433131, -16.12385873694554, 13.199566919433131], "geometry": {"coordinates": [-16.12385873694554, 13.199566919433131], "type": "Point"}, "id": "11", "properties": {"__folium_color": "#297a8e", "positive": 12, "prev": 0.38, "total": 32}, "type": "Feature"}, {"bbox": [-16.11743240362023, 13.566158379176006, -16.11743240362023, 13.566158379176006], "geometry": {"coordinates": [-16.11743240362023, 13.566158379176006], "type": "Point"}, "id": "12", "properties": {"__folium_color": 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"properties": {"__folium_color": "#2e6d8e", "positive": 10, "prev": 0.33, "total": 30}, "type": "Feature"}, {"bbox": [-15.966131928062666, 13.483927230047705, -15.966131928062666, 13.483927230047705], "geometry": {"coordinates": [-15.966131928062666, 13.483927230047705], "type": "Point"}, "id": "23", "properties": {"__folium_color": "#470d60", "positive": 1, "prev": 0.03, "total": 34}, "type": "Feature"}, {"bbox": [-15.951350655996068, 13.583645058551195, -15.951350655996068, 13.583645058551195], "geometry": {"coordinates": [-15.951350655996068, 13.583645058551195], "type": "Point"}, "id": "24", "properties": {"__folium_color": "#42be71", "positive": 13, "prev": 0.65, "total": 20}, "type": "Feature"}, {"bbox": [-15.121762326665, 13.595331426329862, -15.121762326665, 13.595331426329862], "geometry": {"coordinates": [-15.121762326665, 13.595331426329862], "type": "Point"}, "id": "25", "properties": {"__folium_color": "#3e4a89", "positive": 6, "prev": 0.21, "total": 29}, "type": 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"Point"}, "id": "32", "properties": {"__folium_color": "#433e85", "positive": 6, "prev": 0.17, "total": 35}, "type": "Feature"}, {"bbox": [-14.929932830459046, 13.537408206984505, -14.929932830459046, 13.537408206984505], "geometry": {"coordinates": [-14.929932830459046, 13.537408206984505], "type": "Point"}, "id": "33", "properties": {"__folium_color": "#482677", "positive": 3, "prev": 0.1, "total": 31}, "type": "Feature"}, {"bbox": [-14.864229594496479, 13.469048228312062, -14.864229594496479, 13.469048228312062], "geometry": {"coordinates": [-14.864229594496479, 13.469048228312062], "type": "Point"}, "id": "34", "properties": {"__folium_color": "#2b758e", "positive": 12, "prev": 0.36, "total": 33}, "type": "Feature"}, {"bbox": [-14.854894741359688, 13.49588070654694, -14.854894741359688, 13.49588070654694], "geometry": {"coordinates": [-14.854894741359688, 13.49588070654694], "type": "Point"}, "id": "35", "properties": {"__folium_color": "#472a7a", "positive": 3, "prev": 0.11, "total": 28}, "type": "Feature"}, {"bbox": [-14.837781265487207, 13.472061737802091, -14.837781265487207, 13.472061737802091], "geometry": {"coordinates": [-14.837781265487207, 13.472061737802091], "type": "Point"}, "id": "36", "properties": {"__folium_color": "#365d8d", "positive": 8, "prev": 0.27, "total": 30}, "type": "Feature"}, {"bbox": [-14.835725345410994, 13.495308262329727, -14.835725345410994, 13.495308262329727], "geometry": {"coordinates": [-14.835725345410994, 13.495308262329727], "type": "Point"}, "id": "37", "properties": {"__folium_color": "#3e4a89", "positive": 6, "prev": 0.21, "total": 28}, "type": "Feature"}, {"bbox": [-14.81674407459255, 13.537703549010379, -14.81674407459255, 13.537703549010379], "geometry": {"coordinates": [-14.81674407459255, 13.537703549010379], "type": "Point"}, "id": "38", "properties": {"__folium_color": "#365d8d", "positive": 11, "prev": 0.27, "total": 41}, "type": "Feature"}, {"bbox": [-14.782556032166644, 13.438355399110584, 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[-13.971679680259129, 13.56534792956765, -13.971679680259129, 13.56534792956765], "geometry": {"coordinates": [-13.971679680259129, 13.56534792956765], "type": "Point"}, "id": "59", "properties": {"__folium_color": "#93d741", "positive": 29, "prev": 0.78, "total": 37}, "type": "Feature"}, {"bbox": [-13.951729640198272, 13.329989930003077, -13.951729640198272, 13.329989930003077], "geometry": {"coordinates": [-13.951729640198272, 13.329989930003077], "type": "Point"}, "id": "60", "properties": {"__folium_color": "#65cb5e", "positive": 20, "prev": 0.71, "total": 28}, "type": "Feature"}, {"bbox": [-13.940887634640678, 13.410835334322869, -13.940887634640678, 13.410835334322869], "geometry": {"coordinates": [-13.940887634640678, 13.410835334322869], "type": "Point"}, "id": "61", "properties": {"__folium_color": "#39568c", "positive": 15, "prev": 0.25, "total": 60}, "type": "Feature"}, {"bbox": [-13.940697649324147, 13.334030688099153, -13.940697649324147, 13.334030688099153], "geometry": {"coordinates": [-13.940697649324147, 13.334030688099153], "type": "Point"}, "id": "62", "properties": {"__folium_color": "#25848e", "positive": 13, "prev": 0.42, "total": 31}, "type": "Feature"}, {"bbox": [-13.890606975512293, 13.544586711845753, -13.890606975512293, 13.544586711845753], "geometry": {"coordinates": [-13.890606975512293, 13.544586711845753], "type": "Point"}, "id": "63", "properties": {"__folium_color": "#f8e621", "positive": 12, "prev": 0.92, "total": 13}, "type": "Feature"}, {"bbox": [-13.87272702640249, 13.330944101097009, -13.87272702640249, 13.330944101097009], "geometry": {"coordinates": [-13.87272702640249, 13.330944101097009], "type": "Point"}, "id": "64", "properties": {"__folium_color": "#1f948c", "positive": 15, "prev": 0.48, "total": 31}, "type": "Feature"}], "type": "FeatureCollection"});\n",
        "\n",
        "        \n",
        "    \n",
-       "    geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0.bindTooltip(\n",
+       "    geo_json_443c4f559b07d7abbfe147b939d06b62.bindTooltip(\n",
        "    function(layer){\n",
        "    let div = L.DomUtil.create('div');\n",
        "    \n",
@@ -657,45 +599,45 @@
        "    ,{"className": "foliumtooltip", "sticky": true});\n",
        "                     \n",
        "    \n",
-       "            geo_json_cbeba01eb9c0ff91c0a6cfaf352d20a0.addTo(map_30f00dc92fa8f524cea71bbc10da3401);\n",
+       "            geo_json_443c4f559b07d7abbfe147b939d06b62.addTo(map_11f853473c857a98b5d589b0b7b3db3e);\n",
        "        \n",
        "    \n",
-       "    var color_map_c0760bb982b92f0200bb186a45f0bc6b = {};\n",
+       "    var color_map_05d174e37d3385ee21c48be16fe3979e = {};\n",
        "\n",
        "    \n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.color = d3.scale.threshold()\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.color = d3.scale.threshold()\n",
        "              .domain([0.0, 0.0018637274549098198, 0.0037274549098196396, 0.005591182364729459, 0.007454909819639279, 0.009318637274549098, 0.011182364729458919, 0.01304609218436874, 0.014909819639278558, 0.01677354709418838, 0.018637274549098196, 0.020501002004008017, 0.022364729458917838, 0.024228456913827655, 0.02609218436873748, 0.027955911823647296, 0.029819639278557117, 0.03168336673346694, 0.03354709418837676, 0.03541082164328658, 0.03727454909819639, 0.03913827655310621, 0.041002004008016034, 0.042865731462925855, 0.044729458917835675, 0.04659318637274549, 0.04845691382765531, 0.05032064128256514, 0.05218436873747496, 0.05404809619238477, 0.05591182364729459, 0.05777555110220441, 0.059639278557114234, 0.06150300601202405, 0.06336673346693387, 0.0652304609218437, 0.06709418837675352, 0.06895791583166333, 0.07082164328657316, 0.07268537074148297, 0.07454909819639279, 0.07641282565130261, 0.07827655310621243, 0.08014028056112225, 0.08200400801603207, 0.08386773547094188, 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0.8181763527054109, 0.8200400801603207, 0.8219038076152304, 0.8237675350701403, 0.8256312625250501, 0.82749498997996, 0.8293587174348698, 0.8312224448897796, 0.8330861723446894, 0.8349498997995993, 0.8368136272545091, 0.8386773547094188, 0.8405410821643287, 0.8424048096192385, 0.8442685370741483, 0.8461322645290582, 0.847995991983968, 0.8498597194388778, 0.8517234468937877, 0.8535871743486974, 0.8554509018036073, 0.8573146292585171, 0.8591783567134269, 0.8610420841683367, 0.8629058116232465, 0.8647695390781563, 0.8666332665330663, 0.868496993987976, 0.8703607214428858, 0.8722244488977956, 0.8740881763527054, 0.8759519038076152, 0.8778156312625252, 0.879679358717435, 0.8815430861723448, 0.8834068136272546, 0.8852705410821643, 0.8871342685370741, 0.888997995991984, 0.8908617234468938, 0.8927254509018037, 0.8945891783567135, 0.8964529058116233, 0.8983166332665332, 0.9001803607214429, 0.9020440881763527, 0.9039078156312625, 0.9057715430861724, 0.9076352705410822, 0.9094989979959921, 0.9113627254509019, 0.9132264529058117, 0.9150901803607215, 0.9169539078156312, 0.918817635270541, 0.920681362725451, 0.9225450901803608, 0.9244088176352706, 0.9262725450901804, 0.9281362725450902, 0.93])\n",
        "              .range(['#440154ff', '#440155ff', '#440256ff', '#440356ff', '#450457ff', '#450458ff', '#450559ff', '#450659ff', '#46075aff', '#46075bff', '#46085cff', '#46095cff', '#460a5dff', '#460a5eff', '#460b5eff', '#460c5fff', '#470d60ff', '#470d61ff', '#470e61ff', '#470f62ff', '#471063ff', '#471064ff', '#471164ff', '#471265ff', '#471365ff', '#481366ff', '#481467ff', '#481568ff', '#481668ff', '#481669ff', '#481769ff', '#48176aff', '#48186bff', '#48196cff', '#481a6cff', '#481a6dff', '#481b6dff', '#481c6eff', '#481c6eff', '#481d6fff', '#481d6fff', '#481f70ff', '#481f70ff', '#482071ff', '#482072ff', '#482173ff', '#482273ff', '#482374ff', '#482374ff', '#482475ff', '#482476ff', '#482576ff', '#482577ff', '#482677ff', '#482778ff', '#482878ff', '#482879ff', '#482979ff', '#47297aff', '#472a7aff', '#472b7aff', '#472c7aff', '#472c7bff', '#472d7bff', '#472d7cff', '#472e7cff', '#472e7dff', '#472f7dff', '#462f7eff', '#46307eff', '#46317eff', '#46327eff', '#46327fff', '#46337fff', '#463480ff', '#453480ff', '#453581ff', '#453581ff', '#453681ff', '#453781ff', '#453882ff', '#443882ff', '#443983ff', '#443983ff', '#443a83ff', '#443a83ff', '#443b84ff', '#433c84ff', '#433d84ff', '#433d85ff', '#433e85ff', '#423e85ff', '#423f85ff', '#423f86ff', '#424086ff', '#424086ff', '#424186ff', '#414187ff', '#414287ff', '#414387ff', '#414487ff', '#404488ff', '#404588ff', '#404588ff', '#404688ff', '#3f4688ff', '#3f4788ff', '#3f4789ff', '#3f4889ff', '#3e4889ff', '#3e4989ff', '#3e4a89ff', '#3e4a89ff', '#3e4b8aff', '#3d4c8aff', '#3d4d8aff', '#3d4d8aff', '#3d4e8aff', '#3c4e8aff', '#3c4f8aff', '#3c4f8aff', '#3c508bff', '#3b508bff', '#3b518bff', '#3b518bff', '#3b528bff', '#3a528bff', '#3a538bff', '#3a538bff', '#3a548cff', '#39548cff', '#39558cff', '#39558cff', '#39568cff', '#38578cff', '#38588cff', '#38588cff', '#38598cff', '#37598cff', '#375a8cff', '#375a8dff', '#375b8dff', '#365b8dff', '#365c8dff', '#365c8dff', '#365d8dff', '#355d8dff', '#355e8dff', '#355f8dff', '#355f8dff', '#34608dff', 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'#24868eff', '#24868eff', '#24878eff', '#24878eff', '#23888eff', '#23888eff', '#23898eff', '#23898eff', '#238a8dff', '#238a8dff', '#228b8dff', '#228b8dff', '#228c8dff', '#228c8dff', '#228d8dff', '#218d8dff', '#218e8dff', '#218e8dff', '#218f8dff', '#218f8dff', '#21908dff', '#21908dff', '#21918cff', '#20918cff', '#20928cff', '#20928cff', '#20928cff', '#20928cff', '#20938cff', '#1f938cff', '#1f948cff', '#1f948cff', '#1f958bff', '#1f958bff', '#1f968bff', '#1f968bff', '#1f978bff', '#1f988bff', '#1f988bff', '#1f998bff', '#1f998aff', '#1f9a8aff', '#1f9a8aff', '#1e9b8aff', '#1e9b8aff', '#1e9c8aff', '#1e9c89ff', '#1e9d89ff', '#1e9d89ff', '#1e9e89ff', '#1f9e89ff', '#1f9f88ff', '#1f9f88ff', '#1fa088ff', '#1fa088ff', '#1fa188ff', '#1fa188ff', '#1fa187ff', '#1fa187ff', '#1fa287ff', '#1fa287ff', '#1fa386ff', '#20a386ff', '#20a486ff', '#20a486ff', '#20a585ff', '#21a585ff', '#21a685ff', '#21a685ff', '#21a785ff', '#22a785ff', '#22a884ff', '#22a884ff', '#22a983ff', '#23a983ff', '#23aa83ff', '#24ab83ff', '#25ab82ff', '#25ac82ff', '#25ac82ff', '#25ad82ff', '#26ad81ff', '#26ad81ff', '#27ad81ff', '#27ae81ff', '#28ae80ff', '#28af80ff', '#29af7fff', '#29b07fff', '#2ab07fff', '#2bb17eff', '#2cb17eff', '#2cb27dff', '#2db27dff', '#2db37cff', '#2eb37cff', '#2eb47cff', '#2fb47cff', '#30b57bff', '#31b57bff', '#31b67aff', '#32b67aff', '#33b679ff', '#34b679ff', '#34b779ff', '#35b779ff', '#36b878ff', '#37b878ff', '#37b977ff', '#38b977ff', '#39ba76ff', '#3aba76ff', '#3abb75ff', '#3bbb75ff', '#3cbc74ff', '#3dbc74ff', '#3ebc73ff', '#3fbd73ff', '#40bd72ff', '#40be72ff', '#41be71ff', '#42bf71ff', '#43bf70ff', '#45c070ff', '#46c06fff', '#47c16fff', '#48c16eff', '#49c16eff', '#4ac16dff', '#4bc26cff', '#4cc26cff', '#4dc36bff', '#4ec36bff', '#4fc46aff', '#50c46aff', '#51c569ff', '#52c569ff', '#53c568ff', '#54c568ff', '#55c667ff', '#56c667ff', '#57c766ff', '#58c765ff', '#59c864ff', '#5ac864ff', '#5bc863ff', '#5cc863ff', '#5dc962ff', '#5ec962ff', '#5fca61ff', '#60ca60ff', '#62cb5fff', '#63cb5fff', '#64cb5eff', '#65cc5dff', '#66cc5cff', '#67cd5cff', '#68cd5bff', '#6acd5bff', '#6bcd5aff', '#6cce59ff', '#6ece58ff', '#6fcf58ff', '#70cf57ff', '#71d057ff', '#72d056ff', '#74d055ff', '#75d054ff', '#76d153ff', '#77d153ff', '#78d152ff', '#7ad151ff', '#7bd250ff', '#7cd250ff', '#7dd34fff', '#7fd34eff', '#80d34dff', '#81d34dff', '#82d44cff', '#84d44bff', '#85d54aff', '#86d549ff', '#88d548ff', '#89d548ff', '#8ad647ff', '#8bd646ff', '#8dd645ff', '#8ed645ff', '#8fd744ff', '#90d743ff', '#92d742ff', '#93d741ff', '#94d840ff', '#96d83fff', '#97d83eff', '#99d93dff', '#9ad93cff', '#9bd93cff', '#9dd93bff', '#9eda3aff', '#9fda39ff', '#a1da38ff', '#a2da37ff', '#a3db36ff', '#a4db36ff', '#a6db35ff', '#a8db34ff', '#a9dc33ff', '#aadc32ff', '#abdc31ff', '#addc30ff', '#aedd2fff', '#b0dd2fff', '#b1dd2eff', '#b2dd2dff', '#b3de2cff', '#b5de2bff', '#b6de2aff', '#b8de29ff', '#b9de28ff', '#bade28ff', '#bcdf27ff', '#bddf26ff', '#bfdf25ff', '#c0df25ff', '#c1df24ff', '#c2df23ff', '#c4e022ff', '#c5e021ff', '#c7e020ff', '#c8e020ff', '#c9e11fff', '#cbe11eff', '#cce11dff', '#cee11dff', '#cfe11cff', '#d1e11bff', '#d2e21bff', '#d3e21aff', '#d4e21aff', '#d6e219ff', '#d7e219ff', '#d9e319ff', '#dae319ff', '#dbe318ff', '#dde318ff', '#dee318ff', '#dfe318ff', '#e0e418ff', '#e2e418ff', '#e3e418ff', '#e5e418ff', '#e6e419ff', '#e7e419ff', '#e8e519ff', '#eae519ff', '#ebe51aff', '#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n",
        "    \n",
        "\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.x = d3.scale.linear()\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.x = d3.scale.linear()\n",
        "              .domain([0.0, 0.93])\n",
        "              .range([0, 450 - 50]);\n",
        "\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.legend = L.control({position: 'topright'});\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.legend.addTo(map_30f00dc92fa8f524cea71bbc10da3401);\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.legend = L.control({position: 'topright'});\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.legend.addTo(map_11f853473c857a98b5d589b0b7b3db3e);\n",
        "\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.xAxis = d3.svg.axis()\n",
-       "        .scale(color_map_c0760bb982b92f0200bb186a45f0bc6b.x)\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.xAxis = d3.svg.axis()\n",
+       "        .scale(color_map_05d174e37d3385ee21c48be16fe3979e.x)\n",
        "        .orient("top")\n",
        "        .tickSize(1)\n",
        "        .tickValues([0.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.09482352941176471, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.18964705882352942, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.28447058823529414, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.37929411764705884, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.47411764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.5689411764705883, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.663764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.7585882352941177, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.8534117647058824, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);\n",
        "\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.svg = d3.select(".legend.leaflet-control").append("svg")\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.svg = d3.select(".legend.leaflet-control").append("svg")\n",
        "        .attr("id", 'legend')\n",
        "        .attr("width", 450)\n",
        "        .attr("height", 40);\n",
        "\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.g = color_map_c0760bb982b92f0200bb186a45f0bc6b.svg.append("g")\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.g = color_map_05d174e37d3385ee21c48be16fe3979e.svg.append("g")\n",
        "        .attr("class", "key")\n",
        "        .attr("transform", "translate(25,16)");\n",
        "\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.g.selectAll("rect")\n",
-       "        .data(color_map_c0760bb982b92f0200bb186a45f0bc6b.color.range().map(function(d, i) {\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.g.selectAll("rect")\n",
+       "        .data(color_map_05d174e37d3385ee21c48be16fe3979e.color.range().map(function(d, i) {\n",
        "          return {\n",
-       "            x0: i ? color_map_c0760bb982b92f0200bb186a45f0bc6b.x(color_map_c0760bb982b92f0200bb186a45f0bc6b.color.domain()[i - 1]) : color_map_c0760bb982b92f0200bb186a45f0bc6b.x.range()[0],\n",
-       "            x1: i < color_map_c0760bb982b92f0200bb186a45f0bc6b.color.domain().length ? color_map_c0760bb982b92f0200bb186a45f0bc6b.x(color_map_c0760bb982b92f0200bb186a45f0bc6b.color.domain()[i]) : color_map_c0760bb982b92f0200bb186a45f0bc6b.x.range()[1],\n",
+       "            x0: i ? color_map_05d174e37d3385ee21c48be16fe3979e.x(color_map_05d174e37d3385ee21c48be16fe3979e.color.domain()[i - 1]) : color_map_05d174e37d3385ee21c48be16fe3979e.x.range()[0],\n",
+       "            x1: i < color_map_05d174e37d3385ee21c48be16fe3979e.color.domain().length ? color_map_05d174e37d3385ee21c48be16fe3979e.x(color_map_05d174e37d3385ee21c48be16fe3979e.color.domain()[i]) : color_map_05d174e37d3385ee21c48be16fe3979e.x.range()[1],\n",
        "            z: d\n",
        "          };\n",
        "        }))\n",
@@ -705,7 +647,7 @@
        "        .attr("width", function(d) { return d.x1 - d.x0; })\n",
        "        .style("fill", function(d) { return d.z; });\n",
        "\n",
-       "    color_map_c0760bb982b92f0200bb186a45f0bc6b.g.call(color_map_c0760bb982b92f0200bb186a45f0bc6b.xAxis).append("text")\n",
+       "    color_map_05d174e37d3385ee21c48be16fe3979e.g.call(color_map_05d174e37d3385ee21c48be16fe3979e.xAxis).append("text")\n",
        "        .attr("class", "caption")\n",
        "        .attr("y", 21)\n",
        "        .text("prev");\n",
@@ -713,10 +655,10 @@
        "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
-     "execution_count": 8,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -726,9 +668,16 @@
     "gambia_gpdf_4326.round(2).explore(column=\"prev\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We want to include on our map the elevations within the Gambia. To do that we extract the elevation values store in our raster file and overlay it on the map. Areas with darker red signify higher elevation."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -769,7 +718,7 @@
        "            <meta name="viewport" content="width=device-width,\n",
        "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
        "            <style>\n",
-       "                #map_3e144f4a82d6e75c8da3166a39cbfa18 {\n",
+       "                #map_7d303d30abb027049a0081a0ea522221 {\n",
        "                    position: relative;\n",
        "                    width: 100.0%;\n",
        "                    height: 100.0%;\n",
@@ -813,14 +762,14 @@
        "<body>\n",
        "    \n",
        "    \n",
-       "            <div class="folium-map" id="map_3e144f4a82d6e75c8da3166a39cbfa18" ></div>\n",
+       "            <div class="folium-map" id="map_7d303d30abb027049a0081a0ea522221" ></div>\n",
        "        \n",
        "</body>\n",
        "<script>\n",
        "    \n",
        "    \n",
-       "            var map_3e144f4a82d6e75c8da3166a39cbfa18 = L.map(\n",
-       "                "map_3e144f4a82d6e75c8da3166a39cbfa18",\n",
+       "            var map_7d303d30abb027049a0081a0ea522221 = L.map(\n",
+       "                "map_7d303d30abb027049a0081a0ea522221",\n",
        "                {\n",
        "                    center: [13.424895869843876, -15.13013903053501],\n",
        "                    crs: L.CRS.EPSG3857,\n",
@@ -829,28 +778,28 @@
        "                    preferCanvas: false,\n",
        "                }\n",
        "            );\n",
-       "            L.control.scale().addTo(map_3e144f4a82d6e75c8da3166a39cbfa18);\n",
+       "            L.control.scale().addTo(map_7d303d30abb027049a0081a0ea522221);\n",
        "\n",
        "            \n",
        "\n",
        "        \n",
        "    \n",
-       "            var tile_layer_4e22f4a929085c5c0bcbd2d6a9a7fb94 = L.tileLayer(\n",
+       "            var tile_layer_8000578a16b444e639a79a01ed067ed1 = L.tileLayer(\n",
        "                "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
        "                {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            tile_layer_4e22f4a929085c5c0bcbd2d6a9a7fb94.addTo(map_3e144f4a82d6e75c8da3166a39cbfa18);\n",
+       "            tile_layer_8000578a16b444e639a79a01ed067ed1.addTo(map_7d303d30abb027049a0081a0ea522221);\n",
        "        \n",
        "    \n",
-       "            map_3e144f4a82d6e75c8da3166a39cbfa18.fitBounds(\n",
+       "            map_7d303d30abb027049a0081a0ea522221.fitBounds(\n",
        "                [[13.185409602758718, -16.38755103466753], [13.664382136929033, -13.87272702640249]],\n",
        "                {}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "        function geo_json_89f1bf61a2eceae776008e074a4c7c93_styler(feature) {\n",
+       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_styler(feature) {\n",
        "            switch(feature.id) {\n",
        "                case "0": \n",
        "                    return {"color": "#1f9f88", "fillColor": "#1f9f88", "fillOpacity": 0.5, "weight": 2};\n",
@@ -942,52 +891,52 @@
        "                    return {"color": "#31688e", "fillColor": "#31688e", "fillOpacity": 0.5, "weight": 2};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_89f1bf61a2eceae776008e074a4c7c93_highlighter(feature) {\n",
+       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_highlighter(feature) {\n",
        "            switch(feature.id) {\n",
        "                default:\n",
        "                    return {"fillOpacity": 0.75};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_89f1bf61a2eceae776008e074a4c7c93_pointToLayer(feature, latlng) {\n",
+       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_pointToLayer(feature, latlng) {\n",
        "            var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n",
        "            \n",
-       "            let style = geo_json_89f1bf61a2eceae776008e074a4c7c93_styler(feature)\n",
+       "            let style = geo_json_1a543296b19a69ff7b8c85ed489aa473_styler(feature)\n",
        "            Object.assign(opts, style)\n",
        "            \n",
        "            return new L.CircleMarker(latlng, opts)\n",
        "        }\n",
        "\n",
-       "        function geo_json_89f1bf61a2eceae776008e074a4c7c93_onEachFeature(feature, layer) {\n",
+       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_onEachFeature(feature, layer) {\n",
        "            layer.on({\n",
        "                mouseout: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                            geo_json_89f1bf61a2eceae776008e074a4c7c93.resetStyle(e.target);\n",
+       "                            geo_json_1a543296b19a69ff7b8c85ed489aa473.resetStyle(e.target);\n",
        "                    }\n",
        "                },\n",
        "                mouseover: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                        const highlightStyle = geo_json_89f1bf61a2eceae776008e074a4c7c93_highlighter(e.target.feature)\n",
+       "                        const highlightStyle = geo_json_1a543296b19a69ff7b8c85ed489aa473_highlighter(e.target.feature)\n",
        "                        e.target.setStyle(highlightStyle);\n",
        "                    }\n",
        "                },\n",
        "            });\n",
        "        };\n",
-       "        var geo_json_89f1bf61a2eceae776008e074a4c7c93 = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_89f1bf61a2eceae776008e074a4c7c93_onEachFeature,\n",
+       "        var geo_json_1a543296b19a69ff7b8c85ed489aa473 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_1a543296b19a69ff7b8c85ed489aa473_onEachFeature,\n",
        "            \n",
-       "                style: geo_json_89f1bf61a2eceae776008e074a4c7c93_styler,\n",
-       "                pointToLayer: geo_json_89f1bf61a2eceae776008e074a4c7c93_pointToLayer,\n",
+       "                style: geo_json_1a543296b19a69ff7b8c85ed489aa473_styler,\n",
+       "                pointToLayer: geo_json_1a543296b19a69ff7b8c85ed489aa473_pointToLayer,\n",
        "        });\n",
        "\n",
-       "        function geo_json_89f1bf61a2eceae776008e074a4c7c93_add (data) {\n",
-       "            geo_json_89f1bf61a2eceae776008e074a4c7c93\n",
+       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_add (data) {\n",
+       "            geo_json_1a543296b19a69ff7b8c85ed489aa473\n",
        "                .addData(data);\n",
        "        }\n",
-       "            geo_json_89f1bf61a2eceae776008e074a4c7c93_add({"bbox": [-16.38755103466753, 13.185409602758718, -13.87272702640249, 13.664382136929033], "features": [{"bbox": [-16.38755103466753, 13.185409602758718, -16.38755103466753, 13.185409602758718], "geometry": {"coordinates": [-16.38755103466753, 13.185409602758718], "type": "Point"}, "id": "0", "properties": {"__folium_color": "#1f9f88", "positive": 17, "prev": 0.52, "total": 33}, "type": "Feature"}, {"bbox": [-16.305430234499706, 13.204437271999842, -16.305430234499706, 13.204437271999842], "geometry": {"coordinates": [-16.305430234499706, 13.204437271999842], "type": "Point"}, "id": "1", "properties": {"__folium_color": "#32658e", "positive": 19, "prev": 0.3, "total": 63}, "type": "Feature"}, {"bbox": [-16.289140839656273, 13.2037423480732, -16.289140839656273, 13.2037423480732], "geometry": {"coordinates": [-16.289140839656273, 13.2037423480732], "type": "Point"}, "id": "2", "properties": {"__folium_color": "#26828e", "positive": 7, "prev": 0.41, "total": 17}, "type": "Feature"}, {"bbox": [-16.258690817948374, 13.537424833752462, -16.258690817948374, 13.537424833752462], "geometry": {"coordinates": [-16.258690817948374, 13.537424833752462], "type": "Point"}, "id": "3", "properties": {"__folium_color": "#2e6d8e", "positive": 8, "prev": 0.33, "total": 24}, "type": "Feature"}, {"bbox": [-16.232936845491317, 13.206026267030222, -16.232936845491317, 13.206026267030222], "geometry": {"coordinates": [-16.232936845491317, 13.206026267030222], "type": "Point"}, "id": "4", "properties": {"__folium_color": "#297a8e", "positive": 10, "prev": 0.38, "total": 26}, "type": "Feature"}, {"bbox": [-16.230413470612547, 13.230936455110243, -16.230413470612547, 13.230936455110243], "geometry": {"coordinates": [-16.230413470612547, 13.230936455110243], "type": "Point"}, "id": "5", "properties": {"__folium_color": "#287d8e", "positive": 7, "prev": 0.39, "total": 18}, "type": "Feature"}, {"bbox": [-16.214312387056786, 13.2090173879772, -16.214312387056786, 13.2090173879772], "geometry": {"coordinates": [-16.214312387056786, 13.2090173879772], "type": "Point"}, "id": "6", "properties": {"__folium_color": "#3aba76", "positive": 24, "prev": 0.63, "total": 38}, "type": "Feature"}, {"bbox": [-16.196039752086218, 13.206680516633568, -16.196039752086218, 13.206680516633568], "geometry": {"coordinates": [-16.196039752086218, 13.206680516633568], "type": "Point"}, "id": "7", "properties": {"__folium_color": "#472e7c", "positive": 7, "prev": 0.12, "total": 56}, "type": "Feature"}, {"bbox": [-16.195685574387834, 13.561872253697977, -16.195685574387834, 13.561872253697977], "geometry": {"coordinates": [-16.195685574387834, 13.561872253697977], "type": "Point"}, "id": "8", "properties": {"__folium_color": "#472a7a", "positive": 6, "prev": 0.11, "total": 57}, "type": "Feature"}, {"bbox": [-16.160881527382056, 13.578336767380913, -16.160881527382056, 13.578336767380913], "geometry": {"coordinates": [-16.160881527382056, 13.578336767380913], "type": "Point"}, "id": "9", "properties": {"__folium_color": "#31688e", "positive": 8, "prev": 0.31, "total": 26}, "type": "Feature"}, {"bbox": [-16.136420958699553, 13.5296475443355, -16.136420958699553, 13.5296475443355], "geometry": {"coordinates": [-16.136420958699553, 13.5296475443355], "type": "Point"}, "id": "10", "properties": {"__folium_color": "#404588", "positive": 6, "prev": 0.19, "total": 31}, "type": "Feature"}, {"bbox": [-16.12385873694554, 13.199566919433131, -16.12385873694554, 13.199566919433131], "geometry": {"coordinates": [-16.12385873694554, 13.199566919433131], "type": "Point"}, "id": "11", "properties": {"__folium_color": "#297a8e", "positive": 12, "prev": 0.38, "total": 32}, "type": "Feature"}, {"bbox": [-16.11743240362023, 13.566158379176006, -16.11743240362023, 13.566158379176006], "geometry": {"coordinates": [-16.11743240362023, 13.566158379176006], "type": "Point"}, "id": "12", "properties": {"__folium_color": "#238a8d", "positive": 14, "prev": 0.44, "total": 32}, "type": "Feature"}, {"bbox": [-16.109714101247185, 13.201219834807864, -16.109714101247185, 13.201219834807864], "geometry": {"coordinates": [-16.109714101247185, 13.201219834807864], "type": "Point"}, "id": "13", "properties": {"__folium_color": "#39568c", "positive": 5, "prev": 0.25, "total": 20}, "type": "Feature"}, {"bbox": [-16.092370769817812, 13.49080516225072, -16.092370769817812, 13.49080516225072], "geometry": {"coordinates": [-16.092370769817812, 13.49080516225072], "type": "Point"}, "id": "14", "properties": {"__folium_color": "#482374", "positive": 5, "prev": 0.09, "total": 53}, "type": "Feature"}, {"bbox": [-16.08692886664654, 13.231722793283609, -16.08692886664654, 13.231722793283609], "geometry": {"coordinates": [-16.08692886664654, 13.231722793283609], "type": "Point"}, "id": "15", "properties": {"__folium_color": "#463480", "positive": 4, "prev": 0.14, "total": 29}, "type": "Feature"}, {"bbox": [-16.07991433154176, 13.575029852592337, -16.07991433154176, 13.575029852592337], "geometry": {"coordinates": [-16.07991433154176, 13.575029852592337], "type": "Point"}, "id": "16", "properties": {"__folium_color": "#365d8d", "positive": 8, "prev": 0.27, "total": 30}, "type": "Feature"}, {"bbox": [-16.04584649942598, 13.57768836934283, -16.04584649942598, 13.57768836934283], "geometry": {"coordinates": [-16.04584649942598, 13.57768836934283], "type": "Point"}, "id": "17", "properties": {"__folium_color": "#65cb5e", "positive": 15, "prev": 0.71, "total": 21}, "type": "Feature"}, {"bbox": [-16.041688109015585, 13.228159158324258, -16.041688109015585, 13.228159158324258], "geometry": {"coordinates": [-16.041688109015585, 13.228159158324258], "type": "Point"}, "id": "18", "properties": {"__folium_color": "#3e4a89", "positive": 6, "prev": 0.21, "total": 28}, "type": "Feature"}, {"bbox": [-16.01773510686725, 13.26174450040079, -16.01773510686725, 13.26174450040079], "geometry": 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[-13.971679680259129, 13.56534792956765, -13.971679680259129, 13.56534792956765], "geometry": {"coordinates": [-13.971679680259129, 13.56534792956765], "type": "Point"}, "id": "59", "properties": {"__folium_color": "#93d741", "positive": 29, "prev": 0.78, "total": 37}, "type": "Feature"}, {"bbox": [-13.951729640198272, 13.329989930003077, -13.951729640198272, 13.329989930003077], "geometry": {"coordinates": [-13.951729640198272, 13.329989930003077], "type": "Point"}, "id": "60", "properties": {"__folium_color": "#65cb5e", "positive": 20, "prev": 0.71, "total": 28}, "type": "Feature"}, {"bbox": [-13.940887634640678, 13.410835334322869, -13.940887634640678, 13.410835334322869], "geometry": {"coordinates": [-13.940887634640678, 13.410835334322869], "type": "Point"}, "id": "61", "properties": {"__folium_color": "#39568c", "positive": 15, "prev": 0.25, "total": 60}, "type": "Feature"}, {"bbox": [-13.940697649324147, 13.334030688099153, -13.940697649324147, 13.334030688099153], "geometry": {"coordinates": [-13.940697649324147, 13.334030688099153], "type": "Point"}, "id": "62", "properties": {"__folium_color": "#25848e", "positive": 13, "prev": 0.42, "total": 31}, "type": "Feature"}, {"bbox": [-13.890606975512293, 13.544586711845753, -13.890606975512293, 13.544586711845753], "geometry": {"coordinates": [-13.890606975512293, 13.544586711845753], "type": "Point"}, "id": "63", "properties": {"__folium_color": "#f8e621", "positive": 12, "prev": 0.92, "total": 13}, "type": "Feature"}, {"bbox": [-13.87272702640249, 13.330944101097009, -13.87272702640249, 13.330944101097009], "geometry": {"coordinates": [-13.87272702640249, 13.330944101097009], "type": "Point"}, "id": "64", "properties": {"__folium_color": "#1f948c", "positive": 15, "prev": 0.48, "total": 31}, "type": "Feature"}], "type": "FeatureCollection"});\n",
        "\n",
        "        \n",
        "    \n",
-       "    geo_json_89f1bf61a2eceae776008e074a4c7c93.bindTooltip(\n",
+       "    geo_json_1a543296b19a69ff7b8c85ed489aa473.bindTooltip(\n",
        "    function(layer){\n",
        "    let div = L.DomUtil.create('div');\n",
        "    \n",
@@ -1011,45 +960,45 @@
        "    ,{"className": "foliumtooltip", "sticky": true});\n",
        "                     \n",
        "    \n",
-       "            geo_json_89f1bf61a2eceae776008e074a4c7c93.addTo(map_3e144f4a82d6e75c8da3166a39cbfa18);\n",
+       "            geo_json_1a543296b19a69ff7b8c85ed489aa473.addTo(map_7d303d30abb027049a0081a0ea522221);\n",
        "        \n",
        "    \n",
-       "    var color_map_db27564c20d3069826ee010a94e0be07 = {};\n",
+       "    var color_map_a3122944643bfe386afef9873d7ee8ec = {};\n",
        "\n",
        "    \n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.color = d3.scale.threshold()\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.color = d3.scale.threshold()\n",
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'#c9e11fff', '#cbe11eff', '#cce11dff', '#cee11dff', '#cfe11cff', '#d1e11bff', '#d2e21bff', '#d3e21aff', '#d4e21aff', '#d6e219ff', '#d7e219ff', '#d9e319ff', '#dae319ff', '#dbe318ff', '#dde318ff', '#dee318ff', '#dfe318ff', '#e0e418ff', '#e2e418ff', '#e3e418ff', '#e5e418ff', '#e6e419ff', '#e7e419ff', '#e8e519ff', '#eae519ff', '#ebe51aff', '#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n",
        "    \n",
        "\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.x = d3.scale.linear()\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.x = d3.scale.linear()\n",
        "              .domain([0.0, 0.93])\n",
        "              .range([0, 450 - 50]);\n",
        "\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.legend = L.control({position: 'topright'});\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.legend.addTo(map_3e144f4a82d6e75c8da3166a39cbfa18);\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.legend = L.control({position: 'topright'});\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.legend.addTo(map_7d303d30abb027049a0081a0ea522221);\n",
        "\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.xAxis = d3.svg.axis()\n",
-       "        .scale(color_map_db27564c20d3069826ee010a94e0be07.x)\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.xAxis = d3.svg.axis()\n",
+       "        .scale(color_map_a3122944643bfe386afef9873d7ee8ec.x)\n",
        "        .orient("top")\n",
        "        .tickSize(1)\n",
        "        .tickValues([0.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.09482352941176471, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.18964705882352942, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.28447058823529414, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.37929411764705884, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.47411764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.5689411764705883, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.663764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.7585882352941177, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.8534117647058824, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);\n",
        "\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.svg = d3.select(".legend.leaflet-control").append("svg")\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.svg = d3.select(".legend.leaflet-control").append("svg")\n",
        "        .attr("id", 'legend')\n",
        "        .attr("width", 450)\n",
        "        .attr("height", 40);\n",
        "\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.g = color_map_db27564c20d3069826ee010a94e0be07.svg.append("g")\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.g = color_map_a3122944643bfe386afef9873d7ee8ec.svg.append("g")\n",
        "        .attr("class", "key")\n",
        "        .attr("transform", "translate(25,16)");\n",
        "\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.g.selectAll("rect")\n",
-       "        .data(color_map_db27564c20d3069826ee010a94e0be07.color.range().map(function(d, i) {\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.g.selectAll("rect")\n",
+       "        .data(color_map_a3122944643bfe386afef9873d7ee8ec.color.range().map(function(d, i) {\n",
        "          return {\n",
-       "            x0: i ? color_map_db27564c20d3069826ee010a94e0be07.x(color_map_db27564c20d3069826ee010a94e0be07.color.domain()[i - 1]) : color_map_db27564c20d3069826ee010a94e0be07.x.range()[0],\n",
-       "            x1: i < color_map_db27564c20d3069826ee010a94e0be07.color.domain().length ? color_map_db27564c20d3069826ee010a94e0be07.x(color_map_db27564c20d3069826ee010a94e0be07.color.domain()[i]) : color_map_db27564c20d3069826ee010a94e0be07.x.range()[1],\n",
+       "            x0: i ? color_map_a3122944643bfe386afef9873d7ee8ec.x(color_map_a3122944643bfe386afef9873d7ee8ec.color.domain()[i - 1]) : color_map_a3122944643bfe386afef9873d7ee8ec.x.range()[0],\n",
+       "            x1: i < color_map_a3122944643bfe386afef9873d7ee8ec.color.domain().length ? color_map_a3122944643bfe386afef9873d7ee8ec.x(color_map_a3122944643bfe386afef9873d7ee8ec.color.domain()[i]) : color_map_a3122944643bfe386afef9873d7ee8ec.x.range()[1],\n",
        "            z: d\n",
        "          };\n",
        "        }))\n",
@@ -1059,28 +1008,28 @@
        "        .attr("width", function(d) { return d.x1 - d.x0; })\n",
        "        .style("fill", function(d) { return d.z; });\n",
        "\n",
-       "    color_map_db27564c20d3069826ee010a94e0be07.g.call(color_map_db27564c20d3069826ee010a94e0be07.xAxis).append("text")\n",
+       "    color_map_a3122944643bfe386afef9873d7ee8ec.g.call(color_map_a3122944643bfe386afef9873d7ee8ec.xAxis).append("text")\n",
        "        .attr("class", "caption")\n",
        "        .attr("y", 21)\n",
        "        .text("prev");\n",
        "    \n",
-       "            var image_overlay_8b39a5b19cacdd7db00cc7163108e59e = L.imageOverlay(\n",
+       "            var image_overlay_c84107573874eeacf7746c09c3501cc3 = L.imageOverlay(\n",
        "                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",\n",
        "                [[12.9, -17.0], [14.0, -13.6]],\n",
        "                {"crossOrigin": false, "opacity": 0.7, "zindex": 1}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            image_overlay_8b39a5b19cacdd7db00cc7163108e59e.addTo(map_3e144f4a82d6e75c8da3166a39cbfa18);\n",
+       "            image_overlay_c84107573874eeacf7746c09c3501cc3.addTo(map_7d303d30abb027049a0081a0ea522221);\n",
        "        \n",
        "</script>\n",
        "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
-     "execution_count": 9,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1143,9 +1092,16 @@
     "m"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We will want to include elevation as a covariate in our model. So, we need to extract the values from the raster image and store it into a dataframe."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1168,37 +1124,34 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 11,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# Set coordinate system to EPSG 32628 and spatially join our prevalence dataframe to our elevations dataframe\n",
-    "elevations = elevations.to_crs(epsg=\"32628\")"
+    "After extracting the elevation values we need to perform a spatial join to our aggregated dataset with the prevalences. A spatial join is a special join that joins data based on geographical information. It is critical that when you perform such a join you use a projected coordinate system that is accurate for your geography."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
-    "gambia_gpdf = gambia_gpdf.sjoin_nearest(elevations, how=\"inner\")"
+    "# Set coordinate system to EPSG 32628 and spatially join our prevalence dataframe to our elevations dataframe\n",
+    "elevations = elevations.to_crs(epsg=\"32628\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Set CRS to EPSG 4326\n",
-    "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")"
+    "gambia_gpdf = gambia_gpdf.sjoin_nearest(elevations, how=\"inner\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1294,138 +1247,53 @@
        "      13.204167\n",
        "      29.0\n",
        "    \n",
-       "    \n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
-       "    \n",
-       "    \n",
-       "      60\n",
-       "      28\n",
-       "      20\n",
-       "      0.714286\n",
-       "      POINT (-13.95173 13.32999)\n",
-       "      10043\n",
-       "      33005\n",
-       "      -13.954167\n",
-       "      13.329167\n",
-       "      23.0\n",
-       "    \n",
-       "    \n",
-       "      61\n",
-       "      60\n",
-       "      15\n",
-       "      0.250000\n",
-       "      POINT (-13.94089 13.41084)\n",
-       "      7621\n",
-       "      28927\n",
-       "      -13.937500\n",
-       "      13.412500\n",
-       "      22.0\n",
-       "    \n",
-       "    \n",
-       "      62\n",
-       "      31\n",
-       "      13\n",
-       "      0.419355\n",
-       "      POINT (-13.9407 13.33403)\n",
-       "      9875\n",
-       "      32599\n",
-       "      -13.937500\n",
-       "      13.337500\n",
-       "      25.0\n",
-       "    \n",
-       "    \n",
-       "      63\n",
-       "      13\n",
-       "      12\n",
-       "      0.923077\n",
-       "      POINT (-13.89061 13.54459)\n",
-       "      3658\n",
-       "      22812\n",
-       "      -13.895833\n",
-       "      13.537500\n",
-       "      17.0\n",
-       "    \n",
-       "    \n",
-       "      64\n",
-       "      31\n",
-       "      15\n",
-       "      0.483871\n",
-       "      POINT (-13.87273 13.33094)\n",
-       "      10053\n",
-       "      33015\n",
-       "      -13.870833\n",
-       "      13.329167\n",
-       "      48.0\n",
-       "    \n",
        "  \n",
        "\n",
-       "
65 rows × 9 columns
\n",
        ""
       ],
       "text/plain": [
-       "    total  positive      prev                    geometry  index_right     id  \\\n",
-       "0      33        17  0.515152  POINT (-16.38755 13.18541)        12390  39649   \n",
-       "1      63        19  0.301587  POINT (-16.30543 13.20444)        12166  38843   \n",
-       "2      17         7  0.411765  POINT (-16.28914 13.20374)        12168  38845   \n",
-       "3      24         8  0.333333  POINT (-16.25869 13.53742)         3429  22528   \n",
-       "4      26        10  0.384615  POINT (-16.23294 13.20603)        12175  38852   \n",
-       "..    ...       ...       ...                         ...          ...    ...   \n",
-       "60     28        20  0.714286  POINT (-13.95173 13.32999)        10043  33005   \n",
-       "61     60        15  0.250000  POINT (-13.94089 13.41084)         7621  28927   \n",
-       "62     31        13  0.419355   POINT (-13.9407 13.33403)         9875  32599   \n",
-       "63     13        12  0.923077  POINT (-13.89061 13.54459)         3658  22812   \n",
-       "64     31        15  0.483871  POINT (-13.87273 13.33094)        10053  33015   \n",
-       "\n",
-       "            x          y  elev  \n",
-       "0  -16.387500  13.187500  15.0  \n",
-       "1  -16.304167  13.204167  33.0  \n",
-       "2  -16.287500  13.204167  32.0  \n",
-       "3  -16.262500  13.537500  20.0  \n",
-       "4  -16.229167  13.204167  29.0  \n",
-       "..        ...        ...   ...  \n",
-       "60 -13.954167  13.329167  23.0  \n",
-       "61 -13.937500  13.412500  22.0  \n",
-       "62 -13.937500  13.337500  25.0  \n",
-       "63 -13.895833  13.537500  17.0  \n",
-       "64 -13.870833  13.329167  48.0  \n",
+       "   total  positive      prev                    geometry  index_right     id  \\\n",
+       "0     33        17  0.515152  POINT (-16.38755 13.18541)        12390  39649   \n",
+       "1     63        19  0.301587  POINT (-16.30543 13.20444)        12166  38843   \n",
+       "2     17         7  0.411765  POINT (-16.28914 13.20374)        12168  38845   \n",
+       "3     24         8  0.333333  POINT (-16.25869 13.53742)         3429  22528   \n",
+       "4     26        10  0.384615  POINT (-16.23294 13.20603)        12175  38852   \n",
        "\n",
-       "[65 rows x 9 columns]"
+       "           x          y  elev  \n",
+       "0 -16.387500  13.187500  15.0  \n",
+       "1 -16.304167  13.204167  33.0  \n",
+       "2 -16.287500  13.204167  32.0  \n",
+       "3 -16.262500  13.537500  20.0  \n",
+       "4 -16.229167  13.204167  29.0  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "gambia_gpdf_4326"
+    "# Set CRS to EPSG 4326 for plotting\n",
+    "gambia_gpdf_4326 = gambia_gpdf.to_crs(crs=\"EPSG:4326\")\n",
+    "gambia_gpdf_4326.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Get relevant measures for modeling\n",
-    "elev = gambia_gpdf_4326[\"elev\"].values\n",
-    "pos = gambia_gpdf_4326[\"positive\"].values\n",
-    "n = gambia_gpdf_4326[\"total\"].values\n",
-    "lonlat = gambia_gpdf_4326[[\"y\", \"x\"]].values"
+    "elev = gambia_gpdf[\"elev\"].values\n",
+    "pos = gambia_gpdf[\"positive\"].values\n",
+    "n = gambia_gpdf[\"total\"].values\n",
+    "lonlat = gambia_gpdf[[\"y\", \"x\"]].values"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1435,7 +1303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1466,7 +1334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1490,7 +1358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1502,167 +1370,167 @@
        "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
        "cluster65 x 2\n",
-       "\n",
-       "65 x 2\n",
+       "\n",
+       "65 x 2\n",
        "\n",
        "\n",
        "cluster65\n",
-       "\n",
-       "65\n",
+       "\n",
+       "65\n",
        "\n",
        "\n",
        "cluster1600\n",
-       "\n",
-       "1600\n",
+       "\n",
+       "1600\n",
        "\n",
        "\n",
        "\n",
        "X\n",
-       "\n",
-       "X\n",
-       "~\n",
-       "Data\n",
+       "\n",
+       "X\n",
+       "~\n",
+       "Data\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "s\n",
-       "\n",
-       "s\n",
-       "~\n",
-       "Deterministic\n",
+       "\n",
+       "s\n",
+       "~\n",
+       "Deterministic\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "X->s\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "p\n",
-       "\n",
-       "p\n",
-       "~\n",
-       "Deterministic\n",
-       "\n",
-       "\n",
-       "\n",
-       "elevation\n",
-       "\n",
-       "elevation\n",
-       "~\n",
-       "Data\n",
+       "\n",
+       "p\n",
+       "~\n",
+       "Deterministic\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "p_logit\n",
-       "\n",
-       "p_logit\n",
-       "~\n",
-       "Deterministic\n",
-       "\n",
-       "\n",
-       "\n",
-       "elevation->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "p_logit\n",
+       "~\n",
+       "Deterministic\n",
        "\n",
        "\n",
        "\n",
        "p_logit->p\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "likelihood\n",
-       "\n",
-       "likelihood\n",
-       "~\n",
-       "Binomial\n",
+       "\n",
+       "likelihood\n",
+       "~\n",
+       "Binomial\n",
        "\n",
        "\n",
        "\n",
        "p_logit->likelihood\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "s->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
-       "\n",
+       "\n",
+       "\n",
+       "elevation\n",
+       "\n",
+       "elevation\n",
+       "~\n",
+       "Data\n",
+       "\n",
+       "\n",
+       "\n",
+       "elevation->p_logit\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
        "\n",
-       "ls\n",
-       "\n",
-       "ls\n",
-       "~\n",
-       "Gamma\n",
+       "beta_1\n",
+       "\n",
+       "beta_1\n",
+       "~\n",
+       "Normal\n",
        "\n",
-       "\n",
-       "\n",
-       "ls->s\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
+       "beta_1->p_logit\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "beta_0\n",
-       "\n",
-       "beta_0\n",
-       "~\n",
-       "Normal\n",
+       "\n",
+       "beta_0\n",
+       "~\n",
+       "Normal\n",
        "\n",
        "\n",
        "\n",
        "beta_0->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
-       "beta_1\n",
-       "\n",
-       "beta_1\n",
-       "~\n",
-       "Normal\n",
+       "ls\n",
+       "\n",
+       "ls\n",
+       "~\n",
+       "Gamma\n",
        "\n",
-       "\n",
-       "\n",
-       "beta_1->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
+       "ls->s\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "s_hsgp_coeffs_\n",
-       "\n",
-       "s_hsgp_coeffs_\n",
-       "~\n",
-       "Normal\n",
+       "\n",
+       "s_hsgp_coeffs_\n",
+       "~\n",
+       "Normal\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "s_hsgp_coeffs_->s\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
-     "execution_count": 19,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1673,13 +1541,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9c43df24feac41a0ab40cb75efbe52f4",
+       "model_id": "693041b5eae74c83af020fce5b959cb2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1693,7 +1561,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6e733fadc2ac47478c1a489b1d2fb79d",
+       "model_id": "df8aaa9076fe4387a35360f36c769051",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1707,7 +1575,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "20885fb02465412da38f5c11098e076d",
+       "model_id": "df7870c9350b497b9e7c1f99d4bde2fb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1721,7 +1589,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "da1c0164d976419798539d2fbbbbe08a",
+       "model_id": "05921eb48fc74360997a6b86732eec3f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1736,17 +1604,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2024-08-11 15:19:00.323847: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 1s:\n",
+      "2024-08-24 15:11:57.581116: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 1s:\n",
       "\n",
-      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmp6iu5odcg\" source_line=25}\n",
+      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpom26qox5\" source_line=25}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
       "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "2024-08-11 15:19:22.525931: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 23.207112s\n",
+      "2024-08-24 15:12:19.757940: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 23.179546s\n",
       "Constant folding an instruction is taking > 1s:\n",
       "\n",
-      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmp6iu5odcg\" source_line=25}\n",
+      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpom26qox5\" source_line=25}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
@@ -1770,7 +1638,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1798,11 +1666,6 @@
        "      sd\n",
        "      hdi_3%\n",
        "      hdi_97%\n",
-       "      mcse_mean\n",
-       "      mcse_sd\n",
-       "      ess_bulk\n",
-       "      ess_tail\n",
-       "      r_hat\n",
        "    \n",
        "  \n",
        "  \n",
@@ -1812,31 +1675,23 @@
        "      0.166\n",
        "      0.113\n",
        "      0.285\n",
-       "      0.019\n",
-       "      0.013\n",
-       "      466.0\n",
-       "      184.0\n",
-       "      1.01\n",
        "    \n",
        "  \n",
        "\n",
        ""
       ],
       "text/plain": [
-       "     mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "ls  0.205  0.166   0.113    0.285      0.019    0.013     466.0     184.0   \n",
-       "\n",
-       "    r_hat  \n",
-       "ls   1.01  "
+       "     mean     sd  hdi_3%  hdi_97%\n",
+       "ls  0.205  0.166   0.113    0.285"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "az.summary(hsgp_trace, var_names=[\"ls\"])"
+    "az.summary(hsgp_trace, var_names=[\"ls\"], kind=\"stats\")"
    ]
   },
   {
@@ -1855,7 +1710,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1868,7 +1723,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "eff807c56da247f8b9f6570447638309",
+       "model_id": "9b0e88e4c2f3457cb602bae6fff24974",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1910,7 +1765,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1921,19 +1776,19 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Refering to the map we plotted above, we can see that our posterior predictions in the figure below agree with the observed sample."
+    "we can see that our posterior predictions in the figure below on the left agree with the observed sample shown on the right."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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/HFYsQggcP368wVgGDRrU7PubO3cu9u3bhy+//LLJcZvzGpypT58+6NKlC9566606OxpWV1fj3Xffrd0Z8nyZzWY8+uijuOSSS/CTn/yk0Xbn8/qfz7Xn6len09X5OfF6vfjb3/52Xv221NmzuVrifH9WFy5cCFVVcccdd4S1O6ckSRBC1EusvfHGG00uRzwf7733Xp2ZYR6PBx9++CEmTZpU5//Ls+ME6icAX3vttTaJkYiIiCKPM8CIiKhD+uEPf4h//OMfuPDCC3Hvvfdi9OjR0Ov1yM/Px8qVK3HppZfi8ssvr21/7bXX4oEHHsC1114Lv9+Pm2++uU5/s2bNgsFgwLXXXouHHnoIPp8Pr7zyCioqKs4Zy4QJE3D77bdj/vz52LRpEyZPngyr1YqCggKsW7cOgwYNajL505D77rsP77zzDi699FI8/PDDGD16NLxeL1avXo2LL74Y06ZNa/ZrcCZZlvHss8/i+uuvx8UXX4wFCxbA7/fjd7/7HSorK/Gb3/ymWfE25YEHHqi3U9/Zzuf1P59rm3LRRRfh+eefx3XXXYfbb78dZWVl+P3vf9+iGX2twW63Izs7Gx988AFmzJiBhIQEJCUlIScnJ+w+zvdndcKECfjTn/6Eu+++G8OHD8ftt9+OAQMGQJZlFBQU4N133wWA2iXLDocDkydPxu9+97vaWFevXo1FixYhLi7ufF6ORimKglmzZuGBBx6Apmn47W9/C7fbjSeeeKLRa/r27YsePXrg4YcfhhACCQkJ+PDDD7F8+fI2iZGIiIgijzPAiIioQ1IUBUuXLsUvfvELvPfee7j88stx2WWX4Te/+Q1MJlO9mSxOpxOXX3458vPzMWHCBPTu3bvO83379sW7776LiooKXHHFFbj77rsxdOhQ/OEPfwgrntdeew1//OMfsWbNGvzwhz/ERRddhEcffRTV1dX1Ct6Hw263Y926dbj11lvx+uuv46KLLsKPf/xj7N27FxkZGS16Dc523XXX4f3330dZWRmuueYazJ8/Hw6HAytXrsTEiRObHfP5OJ/X/3z/v2vM9OnTsXjxYuzcuROXXHIJfvnLX+Kqq66qs5Qv0hYtWgSLxYJ58+Zh1KhRePzxx5vdx/n+rN5xxx3YtGkTRo0ahRdeeAEXXngh5s6di0cffRRWqxUrVqzA7bffXtv+rbfewrRp0/DQQw/hiiuuwKZNm7B8+fIGa3G1hv/5n//BrFmzcM899+C6665DKBTCRx99hAkTJjR6jV6vx4cffojevXtjwYIFuPbaa1FcXIwvvviiTWIkIiKiyJPEmeseiIiIiIiIiIiIOhnOACMiIiIiIiIiok6NCTAiIiIiIiIiIurUmAAjIiIiIiIiIqJOjQkwIiIiIiIiIiLq1JgAIyIiIiIiIiKiTo0JMCIiIiIiIiIi6tR00Q6gPdI0DSdOnIDdbockSdEOh4iIiIiIiKhTEkLA4/EgIyMDshxbc3R8Ph8CgUBUxjYYDDCZTFEZO1qYAGvAiRMnkJWVFe0wiIiIiIiIiGLCsWPHkJmZGe0wIsbn86FbTjwKi3xRGT8tLQ2HDx+OqSQYE2ANsNvtAE7+A3Q4HFGOhoiIiIiIiKhzcrvdyMrKqv0cHisCgQAKi3w4uuNyOOz6iI7t9gSRPfi/CAQCTIDFutPLHh0OBxNgRERERERERG0sVssP2e062B2RTc0IiIiO117E1gJbIiIiIiIiIiKKOUyAERERERERERFRp8YlkEREREREREREUaBCQBWRXZKocgkkERERERERERFR58MZYEREREREREREUSBO/S/SY8YizgAjIiIiIiIiIqJOjTPAiIiIiIiIiIiiQDv1v0iPGYs4A4yIiIiIiIiIiDo1JsCIiIiIiIiIiKhT4xJIIiIiIiIiIqIo0MTJI9JjxiLOACMiIiIiIiIiok6NM8CIiIiIiIiIiKJAnPpfpMeMRZwBRkREREREREREnRoTYERERERERERE1KlxCSQRERERERERURSoEFAjvCQx0uO1F5wBRkREREREREREnRpngBERERERERERRQGL4EcOE2BEREREjQgFVezceBDrl+9C4bFyhIIqnAlWDJ/UB2Nm9Ic9zhrtEImIiIgoDEyAERERETVgx/oDeOflL1CQVwZV1WAw6AAJOHG0BN9tPowPlqzF9MtHYN6NE6HolGiHS0RERB2QJk4ekR4zFjEBRkRERHSWjSt34y+//Qjeaj/ik20wGPV1nldVDZ6KanywZC3Ki924+WcXQVFYWpWIiIioveI7NSIiIqIzHN1XiL8+9wkCviBSusTVS34BgKLIiEuyw+40Y+3H2/HZO+ujECkRERERhYsJMCIiIqIzrP5wCzwVNUhMc0CSpCbbWmwm6PUKVry3CT5vIEIREhERUWchAGgRPmJ0BSQTYERERESnucqrsHHlHphtxnMmv05zxFtRXuzGlrV72zg6IiIiImopJsCIiIiITtm7PQ8eVw3sTnPY1+j0CjRN4LtvD7VhZERERNQZaRBROWIRE2BEREREp3ir/ZAgQW5mQXtZkeBxedsoKiIiIiI6X0yAEREREZ2i0ykQQkCI5n0zKgRgMHJzbSIiIqL2iu/UiIiIiE5JzUqAwaiDzxuA2WIM6xohBIQq0CUnuY2jIyIios7mdGH6SI8ZizgDjIiIiOiUHv27IKdPOjwV4S9nrPH4YLIaMWZG/zaMjIiIiIjOBxNgRERERKdIkoTJFw0FJMBXEzhne03V4K6swYCROcjgDDAiIiJqJi1KRyxiAoyIiIjoDONmD8LIKX1QWVYFb7W/0XZqSEPxiUqkZibg6jtmRDBCIiIiImou1gAjIiIiOoNOr+CWn18CSZaxaeUeuCtqYHOaYTLrIUkSgkEVnopqhEIaMrKTcMdjlyO9a2K0wyYiIqIOSIMEDVLEx4xFTIARERERncVsNWLBry7FqKn9sO6T7cjdehTVHi+EOLlTZFrXJEy+eCjGzRoIR7w12uESERER0TkwAUZERETUAEWnYNTUfhg1tR8K8spQVuiCqqqwOszo1icdik6JdohEREREFCYmwIiIiIjOIb1rIpc5EhERUavTxMkj0mPGIhbBJyIiIiIiIiKiJr388svo1q0bTCYTRowYgbVr1zba9uabb4YkSfWOAQMGRDDiupgAIyIiIiIiIiKKAi1KR3O98847uO+++/DLX/4SW7duxaRJkzB37lzk5eU12P6ll15CQUFB7XHs2DEkJCTg6quvbsHorYMJMCIiIooJVR4fjhwqxsF9hSg4XgEhYnT+PxEREVEzPf/887j11ltx2223oV+/fnjxxReRlZWFV155pcH2TqcTaWlptcemTZtQUVGB+fPnRzjy77EGGBEREXVaQggc3FeIdatysfHr/fB5gxBCQNHJyOqaiCkzB2L0+J6wWI3RDpWIiIgootxud53HRqMRRmP990SBQACbN2/Gww8/XOf87Nmz8fXXX4c11qJFizBz5kxkZ2e3PODzxAQYERERdUpqSMN/3v4Gyz/aDp8vCIvFAJvdCEmSEAqpOLi/CAf2FeLzZdvwkwcuQFZ2UrRDJiIiohijQYIGKeJjAkBWVlad84899hgef/zxeu1LS0uhqipSU1PrnE9NTUVhYeE5xysoKMAnn3yCt956q+VBtwImwIiIiKjTEULgnb9/hU+XboXZYkBauhOS9P2bS4NBB4vFiFBIRd7RUrz0m4/w00cuRVpGXPSCJiIiIoqgY8eOweFw1D5uaPbXmc58LwWcfL919rmGLFmyBHFxcbjssstaFGdrYQ0wIiIi6nR2bDmKLz7eAYvFAIfD3OibM51OQWqaA4UFlfjbG6tYF4yIiIgiShNSVA4AcDgcdY7GEmBJSUlQFKXebK/i4uJ6s8LOJoTA4sWLccMNN8BgMLTOi9ZCTIARERFRp7P2y90IBkOwO8znbCvLMhxOM/buPoG8I6URiI6IiIio4zAYDBgxYgSWL19e5/zy5csxfvz4Jq9dvXo1Dhw4gFtvvbUtQwwLl0ASERFRp1JUUIkdW/Ngs5nCvsZiMcDt8uLr1bnI7pbchtERERERfU9EoQaYaMF4DzzwAG644QaMHDkS48aNw+uvv468vDzccccdAICFCxfi+PHj+Otf/1rnukWLFmHMmDEYOHBgq8R+PpgAIyIiok7lRH45fN4AklPtYV8jSRJ0OhlHDha3YWREREREHdM111yDsrIyPPnkkygoKMDAgQPx8ccf1+7qWFBQgLy8vDrXuFwuvPvuu3jppZeiEXI9TIARERFRpxIIhKCFWZT1TLIkwecPtVFURERERB3bnXfeiTvvvLPB55YsWVLvnNPpRE1NTRtHFT4mwIiIiKhTMZsNUGQJqqpBp1PCvi6karDZmt79iIiIiKg1aVFYAhnp8doLFsEnIiKiTqV7rzTYnRZUeXxhX6NpApomMGBw1zaMjIiIiIiihQkwIiIi6lRsdhPGTeoNrzcIIURY11R5vLDZTRg7qXcbR0dERET0PU1IUTliERNgRERE1OlMmt4fdocJpSWecybBAv4QqqsDGD+pDxISbRGKkIiIiIgiiQkwIiIi6nS65iThxh9Phd6gQ3GRG6GgWq+NEAJVHh/KyqowaGhXXH3D+ChESkRERESRwCL4RERE1CmNm9QHeoMOby1eg9ISDwDAaNRBkiSEQioCARVmswGTpvXDDbdNgdlsiHLEREREFGtYBD9ymAAjIiKiTmvkmB4YOKQrtmw8hHUr9+D4sXKEQiriE2wYMbYHJkzugy5dE6MdJhERERG1MSbAiIiIqFMzmfQYP7kPxk/uA+Dk0kdJis1vPomIiKh94QywyGENMCIiIoopTH4RERERxR7OACMiIiIiIiIiioKTM8AiOzeJM8CIiIiIiIiIiIg6ISbAiIiIiIiIiIioU+MSSCIiIiIiIiKiKNBOHZEeMxZxBhgREREREREREXVqnAFGRERERERERBQFmpChiQgXwY/weO1FbN41ERERERERERHFDCbAiIiIiIiIiIioU+MSSCIiIiIiIiKiKNAgQYMU8TFjEWeAERERERERERFRp8YZYEREREREREREUSCiMANMcAYYERERERERERFR58MEGBERERERERERdWpcAklEREREREREFAWakKGJyM5NivR47UVs3jUREREREREREcUMzgAjIiIiIiIiIooCASniRelZBJ+IiIiIiIiIiKgT4gwwIiIiIiIiIqIoUIUEVUR2Rlakx2svOAOMiIiIiIiIiIg6NSbAiIiIiIiIiIioU+MSSCIiIiIiIiKiKNAgQYtwUfpIj9decAYYERERERERERF1apwBRkRERNQIvzeArat24+sPN6PwSAlCIQ3ORBtGzhqEsRcOQ2JaXJ323mofNn22Hd8s/RZFR4qhqgJxKQ6MuXA4xl4yEvEpzujcCBEREbVLAjJEhOcmRXq89oIJMCIiIqIGfPv5DrzzwkcozS+HAGAwGSBJQGWxCwd35GHZGysx+fJRuOreudAbdFj33w3493MforygAjijfUVhBQ5sOYwP/vQpZt4wGZfffSEUnRLdmyMiIiKKMUyAEREREZ1l3Qeb8Nen/ougP4j4tDjoDXXfMmmaBk9FNT55czUqil3o3j8D//rdB1CDGhIz4qHTn9Ve1eAu8+CD//sUlUUuzH/qWigKk2BEREREkcIEGBEREdEZDu3Mwz9+uxRqSEVSlwRIUv1CsbIsw5loh8Gkx9p3N2DVW37YnBYkZyU22KesyIhLcaLGXYPV//4GXXqlY+6tM9r6VoiIiKidUyFBjXBR+kiP117E5sJPIiIiokas+s8GVLtqkJAW12Dy60xmqwm+Ki+qyqvgSLKfs2+LwwJFp+CLv69BwB9srZCJiIiI6ByYACMiIiI6pbzIhU1f7ITFbj5n8gsA/DV+BL1+CABVldVhjeFMsqPkWBm2fbnrPKMlIiKijk4TUlSOWMQEGBEREdEp+7ceQZWrBrZ4S1jta1zV0FQNkiyhxu0N6xq9UQ81pCJ3w/7zCZWIiIiImoE1wIiIiIhO8Vb5IEGCLIf3HaEWUiFJAGQZakgLexxJllDlCm/GGBEREXVeAjJEhOcmRXq89iI275qIiIioAXqjDkIICCHCai+dTpQJQJbDX04gNAGTxdiSEImIiIioBZgAIyIiIjolvVsKjGYDfNX+sNobLUZIkgShqTCaDWFdo6knZ4qldUttcZxERERE1DxcAklERER0SrcBmeg+KAu5mw7BbDOds70lzgrFoIda44cj8dy7QAJAVUU1bPFWjLtkxPmGS0RERB2cJiSoES5KzyL4RERERDFOkiRMuXIMZFmCt8p3zvaaqkFvNsJg0tfO7GpKKKii2l2DUXOGIT41rhUiJiIiIqJwMAFGREREdIYxc4Zg7IXD4C7zNLmzYyiooiS/HN2G5GDcvJGoLK5sMmkW9AdRcqwU2QOycOX9F7dF6ERERNTBCEhROWIRl0ASERERnUHRKZj/2FVQdAq+WbYF7vIqWJ0WmKxGSACCwRA85dUQmkB2vwz85LfXIz7VgcW/fBsbP9kKV6kbNqcVRosBkCQE/UF4yqsAAD2HdcNdL81HfIozujdJREREFGOYACMiIiI6i8Gkxy1PXIXRFwzGVx9sxvZ1uXCVeAAIKDoF3QZmYcoVozFq9mBYHWYAwB3P3YRx80Zh7bvrsWvdHrhK3BAC0BkU9BrRHVN/MB6j5gyF2WaO7s0RERERxSAmwIiIiIgaIMsyBk/si8ET+6KssBLlBZVQQyqscRZ06ZEKWa5bSULRKRg+YxCGzxiEkvwylBdWQlM12BNs6NIzDZIUm8sNiIiIqHGaiHxRek1EdLh2gwkwIiIionNITItDYlpc2O2TMxORnJnYdgERERERUbMwAUZEREREREREFAUqZKgR3p8w0uO1F7F510REREREREREFDOimgBbs2YNLrnkEmRkZECSJLz//vt1nn/88cfRt29fWK1WxMfHY+bMmdiwYcM5+62srMRdd92F9PR0mEwm9OvXDx9//HEb3QURERG1JxVlVdi3+wS+23EMhw8WQw1pERm3+Fgp9mzYj+++3ou83OMQIkYLbBAREVHYBKSoHLEoqksgq6urMWTIEMyfPx9XXnllved79+6NP/7xj+jevTu8Xi9eeOEFzJ49GwcOHEBycnKDfQYCAcyaNQspKSn4z3/+g8zMTBw7dgx2u72tb4eIiIiiRAiB3TvzsW5lLrZuPASfLwChAYoiIyXdiSkzB2Dc5N6Ii7e26rhqSMX2Vd9h9X++we6v9yLgDUJAQKfXoWvfLpjyg/EYc9FwWOzc+ZGIiIgomiTRTr6elCQJ//3vf3HZZZc12sbtdsPpdOKLL77AjBkzGmzz6quv4ne/+x1yc3Oh1+vDGtvv98Pv99cZJysrCy6XCw6Ho1n3QURERJGlhjS8vWQdVn62E35/CFabEWaLAZIEhEIaPG4v1JCG1PQ43HH/bPTsk94q43qrvFj8y7ex8eOtUFUVtjgrjBYjJAkI+kPwlHugqQLdBnfFnS/OR3q31FYZl4iIqDM5/Tk/1j5/n77vv++6Exa7MaJj13j8+NHAl2PuNe8wNcACgQBef/11OJ1ODBkypNF2S5cuxbhx43DXXXchNTUVAwcOxNNPPw1VVRu95plnnoHT6aw9srKy2uIWiIiIqJUJIfD2krX4bNk2GIw6pHeJg8Nphl6vQKdTYDLpkZziQHKqA0UFlfjDbz/G0UMl5z1uMBDE6z/7G75Z+i1s8Vak5aTAFmeF3qCDTq+D2WZCStdkJHZJwKEdR/HSHa+jrKCiFe6YiIiIOhMNUlSOWNTuE2DLli2DzWaDyWTCCy+8gOXLlyMpKanR9ocOHcJ//vMfqKqKjz/+GL/61a/w3HPP4amnnmr0moULF8LlctUex44da4tbISIiola2c+tRfPnpTthsRtjspkbbKYqMlDQnykur8Nc/rzrv+lxr392ATZ9vR1yKE2Zb4+PqDTqkZCXh2N7j+PdzH57XmERERETUclGtARaOadOmYdu2bSgtLcWf//xn/OAHP8CGDRuQkpLSYHtN05CSkoLXX38diqJgxIgROHHiBH73u9/h0UcfbfAao9EIozGyUw6JiIjo/K1ZsQfBoIrE5HPX+pRlCXHxFhw+UIz9ewrQu39Gi8bUNA2r3vkKkgSYrI0nv05TdAqsTiu2fLEdpSfKkZSR0KJxiYiIqPPRhAxNRHZuUqTHay/a/V1brVb07NkTY8eOxaJFi6DT6bBo0aJG26enp6N3795QFKX2XL9+/VBYWIhAIBCJkImIiCgCiotc2LHlKKy28L/EMpn1CPhD+Gp1bovH3fvtQRzLPQ5HYvg1M2zxVtS4arD+w80tHpeIiIiIWq7dJ8DOJoSoU7D+bBMmTMCBAwegad9veb5v3z6kp6fDYDBEIkQiIiKKgMLjlfD5ArBYw0+ASZIEvUFB3uHSFo9bcKgIwUAIpmaMK8syBICCQ4UtHpeIiIiIWi6qCbCqqips27YN27ZtAwAcPnwY27ZtQ15eHqqrq/GLX/wC69evx9GjR7FlyxbcdtttyM/Px9VXX13bx4033oiFCxfWPv7JT36CsrIy3Hvvvdi3bx8++ugjPP3007jrrrsifXtERETUhoLBEIQmIEnNK+QqSRICgVDLx/UHW1Q6VpZk+Gs4G52IiIi+p0XpiEVRrQG2adMmTJs2rfbxAw88AAC46aab8OqrryI3NxdvvvkmSktLkZiYiFGjRmHt2rUYMGBA7TV5eXmQ5e/zeFlZWfj8889x//33Y/DgwejSpQvuvfde/PznP4/cjREREVGbs1iMUBQZqqpClsN/S6OG1CYL5p9zXLsZQoiTyTc5/FSYpmmwxllaPC4RERERtVxUE2BTp05tchem995775x9rFq1qt65cePGYf369ecTGhEREbVzOT1TEJdghcftRUKiLaxrNE1AVQUGD89u8bh9RveExWFBVWU17AnhjRv0ByErMvqN6d3icYmIiKjzYRH8yInNuyYiIqIOz2w2YOK0fvD7Qk1+oXamKrcXNrsJYye1PBGVkpWEodMHocpVHfa47jIPkrOSMHzmoBaPS0REREQtxwQYERERdViTpvdDXIIVJUXucyaj/P4gqqsDGD+5DxKT7Oc17ozrJsJiN6OisPKc49a4axAKqpj5o8kwmLghDxEREX1PgxSVIxYxAUZEREQdVmp6HG77nxkwW40oKnAh4K9f3F4IAY/bi/LSagwZkYMf3DThvMftM6onrl14BSRZQml+GYINFNXXVA2VxS54Kqox5epxuGD+1PMel4iIiIhaJqo1wIiIiIjO19CR3XDPQxfib39ejRPHK6CpGgxGHSRJghpSEQxqsFiNmD5nEK67ZRJMJn2rjDv92pOzwP71uw9Qkl8GCAGD2QBAQjAQhBbSYIu3Yu5tM3DZ/8yFoiitMi4RERERNR8TYERERNTh9R+chV+/cC12bjmKr1bvxbGjpQgGVNgdJgwf3R3jJvdBSpqz1ccde/EIDJ0+EFtX7MTX729E4dESaCEVzhQnRs8djrEXD0dccuuPS0RERJ2EkCBEhJckRnq8doIJMCIiIuoUdDoFw0Z3x7DR3SM6rslixLhLRmLcJSMjOi4RERERhY8JMCIiIiIiIiKiKFAhQ41wefZIj9dexOZdExERERERERFRzGACjIiIiIiIiIiIOjUugaSYd6KgEpu2HoHL5QUAOJ1mjBqeg/S0uDYbUwiBfWVlWH/sGDwBP2RJRqrVisk5OUi2Whts/11pMb49cRyegB+KLCPdZsfUrjlIMFvaLM4zqULD1rJj2FlxAjWhAIyKDlnWBExI6Q6b3hiRGIiIiIiIiDoTceqI9JixiAkwilkHDxfjg4+2YceufHi9AZzeB0MA+O/SLRg8MBOXXjQM3bslt+q4G/Pz8c+dO7CzuBi+YBCQJEinxl28dQumZOfg+iFD0MXhAACsO3YU/9y9A7tLS+APqYCE2vaLtm3GtOxuuGHQUKRaba0a52lCCHx6fDfeP7odR6rKERQqIABJAgAJSSYbZmf0xTXdRjARRkRERERERO0SE2AUk7buyMOrb6xCRWU17HYT0lIdkE5mdCCEQFW1H99sPIjcfYW488fTMGRQVquMu2zvXvzfhvWoCQQQbzYjyWyuHVcTAi6fD0v35mJrYQGemDYd20oK8frWb+ELhRBvMiPZoq9tr2oaXH4/3tu7G9uLC/Hk5BnoFhffKnGepgmBV3LX4IO8HRBCIN5ogUnR1z4f0lRUBrz4x8FvsbPiBB4beiHijZGZkUZERERERNTRaUKGJiJbnSrS47UXsXnXFNMOHS7Bq2+sgtvjRXqaE3abqTapBACSJMFuMyE9zQm3x4uX/7wSh4+Wnve4X+Xl4f/Wr4eqach0OGAzGOqMK0sS4s1mdLHbke9y4d7PPsLLmzcAALrYHbCe1V6RZSSYzciwO3CoohyPr/0SFT7vecd5prcPbcJ/j26HRTEg3eKsk/wCAJ2sIMlkQ4rJhu3l+Xh6x2cIqKFWjYGIiIiIiIjofDEBRjFn2afbUVFZjZRke52E0tkkSUJKsh0VldX46NPt5zWmJgTe3LoF3lAQyRZLk+Mqsow0mw2HXBWo9PmQZLE22V4ny0i3O3CgohwfH9h3XnGeqdxfjXePbIVR0cFhMDXZ1qDokGyyYVv5MawvOdxqMRAREREREXVmmpCicsQiJsAophQWubB1R169WV+NkSQJNpsJW7blobjE0+JxtxUU4GB5ORLPWPLYlGo1CBUCwZAKTdPO2V4ny9DLMj46uA8BVW1xnGdaWbAfrqAXcQZzWO1Nih6aEPgkfzeEiNWyikRERERERNQeMQFGMWXztqPw1gRgs4VfrN1mNaLG68fmbUdaPO66vKMIqCrMev25GwOo9PsgSxJCQsATCIR1TbzJjOMeN3YUF7Y4zjN9WbAXMmQoUvi/Jhx6E3ZWnECB190qMRARERERERG1BhbBp5jidntP7roYxiys02T5ZHuXq+X1tUqqayA3Y8yApp7alVIgGOaMLoOiIKRpKPe2Th2wUl8VjErzfkUYZR1qQl5UBmqQYXG2ShxERERERESdlQYJGiK7JDHS47UXnAFGFAYhgGbkr+qRALR0UWDzxhXnFWfdcc8naiIiIiIiIqL2gzPAKKbExVkgIKBpArIcXqZI0wQAgTinpcXjptps0ISAECKs2WdGRYE7KCBBhk5WwhrDr6rQywoSzC2P80ypJjvK/NXNusanhWBQdEgwWFslBiIiIiIios4sGkXpWQSfKAaMHJYDq9mIqmpf2NdUVflgtRgxcnhOi8edlJ0Nk04HbygUVvs4gwlCAHpZht0YXr2yCp8XXR1ODElJa3GcZ5qR0Qea0KCGUYT/NE/Ah2EJmUizOFolBiIiIiIiIqLWwAQYxZTkJDtGDs9GVZX/1MyupmmaQFW1H6NGdENigq3F4w5KTUWfpCSU1XjD2iHRouihQIZOkcNanR1UVaiahot79YVObp1/1lPSeiHeYEV5oCas9t5QELIsY05m/1YZn4iIiIiIiKi1MAFGMeeSuUORlGhHcYm7ySSYpgkUl7iRnGTHxXMGn9eYkiThluEjYDcaUFhV1WQSLKRpKKiqQp+EJCSYzSiuqW6yfVBVUVDlQb/EZFzQved5xXkmp8GMa7uPhCo0VAaaLqzvU4Mo9VdjbHI3jE7KabUYiIiIiIiIOrOTBXekCB+xiQkwijlZmQn4nwXTkZhgQ2GRCy63t04iTNM0uNxeFBa5kJhgw90LZiCzS8J5jzsiIwMPTpgIi8GAY243XD5fncRWSNNQWlODEx4PeiQk4KU5F+LBMROglxXke1xw+/1ntVdRUlONwioP+iUl4/HJ0+E0ms47zjNdkT0E13UfhYAWwokaF6pDgToxBNQQirwelPmrMTY5Bz8bOLPVZqARERERERERtRYWwaeY1L9vBhY+eCE+/nwnNmw6jOISN6RTiw0FBGxWE2ZOH4ALZw9CZkZ8q407o3t3pFqt+Nd3u7AxPx/5Hg8kfL9LZKLZgsv69sPVAwci2WpFTlw80m12/HvPLmwuPIHjHvcZSyIlJFksuLrvAFzTfxDiTeZWi7N2BEnCTT3HoLs9Ee/n7UBuZREqAzW1r5UEIMMSh7mZ/XFZ9hCYFH2rx0BERERERNRZaZCghVX4pnXHjEVMgFHMyuySgNvnT8FVl43E5q1H4HJ7IUkSnA4zRgzLRnxc2+xkODA1FQNTU5HvcmF9fj7cfj8USUKKzYoJXbPhOKvo/fC0DAxPy8CRygpsLDgOT8APnSQjzWbDxMxsWA2GNonzNEmSMDmtFyal9kSuqwg7K06gJhSAQVbQ1ZaA0UnZMCj8VUJERERERETtFz+1UsxLiLdi1vQBER830+nEVU5n2O1z4uKRE9d6s9GaS5Ik9ItLQ7+41tllkoiIiIiIKNZpkKAJzgCLBBbrISIiIiIiIiKiJr388svo1q0bTCYTRowYgbVr1zbZ3u/345e//CWys7NhNBrRo0cPLF68OELR1scZYERERERERERE1Kh33nkH9913H15++WVMmDABr732GubOnYvdu3eja9euDV7zgx/8AEVFRVi0aBF69uyJ4uJihEKhCEf+PSbAqNM6vVuhJLX99M5IjtVaNCFOFuDvQDETEREREbU3Qgi+p6aWExJEhJdAogXjPf/887j11ltx2223AQBefPFFfPbZZ3jllVfwzDPP1Gv/6aefYvXq1Th06BASEhIAADk5OecV9vliAow6FVdFNdav3YevV+5BWYkbQgBxCVaMm9IX46b0QWKyo9XGKi7zYM2Wg1i75SAqPScL6Kck2DB1ZC9MGNoNTnvr78p4PoQQ2F9ahuX7D2LdkaOoDgSgk2X0SEjABX16YUJOV5j13MWRiIiIiKgpQvjh86+D1/sRgsFcCAQhSVYYDeNgMV8IvX4gE2LUIbjd7jqPjUYjjGdtygYAgUAAmzdvxsMPP1zn/OzZs/H111832PfSpUsxcuRIPPvss/jb3/4Gq9WKefPm4de//jXM5uh8VmYCjDoFIQQ+fX8Llv3nW3hcXsiKBKPxZDLnxLFyvLNkLZb951vMvGgILr92LBSd0uKxQiEVb32yGZ99nYtqrx96RYFBr0AAOHisFPuOluBfn2/FVTOH4KLJA9rFHz+3z4ffr/4KG47lwxsMwqTTQa/ICKoavs0/jm/zjyPDYcc9E8dhbNesaIdLRERERNQu+QNb4HI9g5B6DIAGSbIAkCG0ctTU/Ade3zIY9MMR53wEipIU7XCpA1AhQY1wUfrT42Vl1f3s99hjj+Hxxx+v1760tBSqqiI1NbXO+dTUVBQWFjY4xqFDh7Bu3TqYTCb897//RWlpKe68806Ul5dHrQ4YE2DU4Qkh8O7fv8ay/3wLnU5BcpoDslx3fwdNE/C4avDhvzbC7arBzXfOqNcmHCFVwyv/WocvN+6H2aRHWpID8lkJLlXTUOn2YsnSjaj2BvCDC4ZFNQnm9vnwi0+/wI6CQsSZTUi0mM+Kx4ygqqLA7cGTX6zCw1MnYXL3nGiFS0RERETULvn9G1DhegSaVglFToUkGeo8L4SAENXwB75GecX9SIh/gUkwateOHTsGh+P7VVINzf4609mfa5ta/qtpGiRJwj/+8Q84nU4AJ5dRXnXVVfjTn/4UlVlg3AWSOrxvv9qPj9/bDKNJj/hEW4OJLVmW4Iy3wmo3Yc3n3+HLT3a2aKxP1u3Gym8PwGEzIc5urpf8AgBFlpEYZ4VBr+C9FduxcVdei8ZqLf/31QbsKChEqs0Gu9HY4C8ovaIg3WGHLxjE82u/Ql5lZeQDJSIiIiJqp1S1GJWu/4WmuaDImfWSX8DJ5IAs26DI6QiG9sDlfrq2VjBRe+RwOOocjSXAkpKSoChKvdlexcXF9WaFnZaeno4uXbrUJr8AoF+/fhBCID8/v/VuohmYAKMOTQiBLz7ajlBIhcNpOWd7q80ESZKw4qPtUENqs8YKBEP4dN0eKLIEq7n+H7yzxdnNCARVfPrV7qj94ct3ufDVkaNwmIwwnGPZpyRJSLPbUF7jxef7DkYoQiIiIiKi9s/r+wyqVghFTj/n6g5J0kOWEuAPbEIwtDdCEVJHJU4VwY/00RwGgwEjRozA8uXL65xfvnw5xo8f3+A1EyZMwIkTJ1BVVVV7bt++fZBlGZmZmc1/oVoBE2DUoR3aV4hD+wrhcIY/fdIRZ0Hh8XLs2HK0WWNt3n0MhWXuZhW3d9iM2HOoCIePlzVrrNayfN9BVAUCcJxjKutpkiTBpNPhs737URMItnF0RERERETtnxBB1Hg/hAQ9JCm8WsKSZIMQNfB6P27j6Igi44EHHsAbb7yBxYsXY8+ePbj//vuRl5eHO+64AwCwcOFC3HjjjbXtr7vuOiQmJmL+/PnYvXs31qxZg5/97Ge45ZZbolYEnwkw6tD27zmBgD8EUxgzsk4zGHVQVYH9e040a6zcI8VQNQGDPvwC+haTAb5ACLmHi5s1VmvZlH8cekVuVg0yp8mE8hov9pdGJ2lHRERERNSehEJHoKoFkGTnuRufIkkSJJjg93/ThpFRZ6BBisrRXNdccw1efPFFPPnkkxg6dCjWrFmDjz/+GNnZ2QCAgoIC5OV9X/7HZrNh+fLlqKysxMiRI3H99dfjkksuwR/+8IdWe+2ai0XwqUPzeYOQ5PrF+M5FQMBbE2jWNV5foNlLGSVJgixJqPE1b6zWUuUPQJGal+dWZAmq0FATjE7MRERERETtiRDVgFAhSc38+CzpoImqc7cj6iDuvPNO3HnnnQ0+t2TJknrn+vbtW2/ZZDRxBhh1aHqDArSgvJYEwGhs3h8wg17Xos1pBQRMhujkmk16HbRmJu00ISBLEowK8+NERERERJBMgCQB0Jp3ndAgSaY2CYmImo8JMOrQunRNgiRLCPhDYV8TCqmAJKFL18RmjdU1LR6SLEFVw//D5wsEoZNlZKbGNWus1tInOQkBVW3WzLWqQABWgwHZ8XFtFxgRERERUQehUzIhSU5oWvNmcwl4odf3b6OoqLMQkKJyxCImwKhDGzSsK9K7JMDtqgn7Go/Li4REG0aM69msscYNyUGczQx3tS/sa1weH7LS4zGod0azxmots3v3hEmngzcYXkF7IQSq/QFM7p6DROu5d9UkIiIiIursZNkGs2kOBGrC/mJZCB8k6GAxX9TG0RFRuJgAow5N0SmYesFAaKoGXxh1tgKBEPy+IMZP6weLNbydEU+zW02YPLInvL4ggkH1nO29/iCEEJg1tg8UOTr/1AakpqBfSjLKarxhLYWs9Ppg0utxQe/mJQeJiIiIiDozi3kuZMkOTSs9Z1shNKhaMXS6HjAaRkcgOurINCFF5YhFTIBRhzdt7mAMH9sDleXV8Nb4G23n9wVRXuJBv0FZuPiqUS0a66qZQ9CvexqKK6rgDzS+7LLaG0CFuwbjhnTDrLF9WjRWa5AkCfdPGo90ux0nXB6EtIaXbwohUF7jhS8UwrVDB2FQWmqEIyUiIiIiar/0+l6w2W4HoEJVSxqdCSaEClU7DllOgtP5i+YXzieiNsN/jdThGQw63H7/BdDrddj0zX64KmtgtZlqi9wHAiqqPT7IioQhI7vh9vsvaPbsr9PsVhMemj8DL/1jFXbuL4CmCditRuj1J4vx+wMhVHkD0OtkTB3ZC3dcPQE6ndKat9tsOQnx+N85M/G/K1bhaEUlJEhwmo3QyTKEAKoDAdQEg7AaDLh55DD8aPjQZu+qSURERETU2Vkt10CCBE/Va1C1Y5BghiTbIEGGECFowgUgBJ2SiTjn4zCw/heFIRozsmJ1BpgkmlMdO0a43W44nU64XC44HI5oh0NhUlUNu3ccw7oVu7F902EET83Q0ukV9B+chYkzBmDIiBzo9OefkAqGVGzefQwrNuzDdwcLEAppgAQY9ApG9u+KaaN7YVDPDMhy+/nF4vH7sfrgEXyUuxeHyyugahokSYLVYMCsXj0ws1cP9E5OinaYRERERETtWjB0CF7vJ/B6PzmV9NIAKNAp2bBY5sFkmglFjo92mB1GrH7+Pn3fj258AiZbZHcL9VX58OTox2LuNecMMOo0FEXGoGHZGDQsG5XlVXBV1kAIwO4wIzHZ3qpj6XUKxg7OwdjBOSipqIK7ygdZlhDvsCDObm7VsVqL3WjExf374KJ+vXHc7UaVPwC9oiDVZoPNaIh2eEREREREHYJe1x16+12wWedDVQsg4IcsWaEomZCk6K7+IKLGMQFGnVJcgg1xCbaIjJUcb0NyfGTGag2SJCHT6Yx2GEREREREHZosWyDLPaIdBnVwQkgQEV6SGOnx2gsWwSciIiIiIiIiok6NM8CIiIiIiIiIiKJAgwQNES6CH+Hx2gsmwIhimDcQxIHjpajxBaDTKeiS6ERaQuvWSyMiovMnhMCRPcfhKvUAAByJduT0y4AsczI/ERERUTiYACOKQQXlbny59QBWbN2PMnc1VFVAkgGzQY/hvTIxc3gvjOiVCUmKzW8GiIjaC1+1Hxs+24E173+Lo3sLEPSf3OFYb9Ahq3caJl8+EmNmD4HFHtndo4iIiIg6GibAiGLMlv35ePG9tSh1V8Ok1yHeZoFOkSGEQLU/gLW7DmP9nqOYM7IPbr1wDPQKd7IhIoqGssJKvPqLd7Bvy2FIkgRHgg2GJD0AIOAP4sjufBzadQzrPtiMO575IZK7JEQ5YiIiImouceqI9JixiPPmiWLId0cK8ft/r0KFpwYZiQ4kOa0w6BXIsgRFkeGwmNAl0QGzQY9lG/Zg0ccbIESs/nokIoqeKlcN/vSzt5C76RASUp1IyUqEyWqErMiQFRkmixHJmYlISIvDvm1H8cefvQV3eVW0wyYiIiJqt5gAI4oRIVXDq8u+gavGh7QEO+QmljfaLUbYzUZ8tnkfth08EcEoiYgIAD772zoc2JGHpIx46I36RtvpDTokd4nHoV3H8MmbayIYIREREbUGTchROWJRbN41UQzafugE8oorkWS3hlXby24xIhAMYcXW/RGIjoiITvNW+bDuw80wmvTQG85drUKn18FsNeLrj7ai2u2NQIREREREHQ8TYEQxYuW2AwipGoxhfJg6zWY2YmPuMZRUclkNEVGkbFuTi4oiN+wJtrCvscdbUVnqweYvv2vDyIiIiKjVCQkiwgdEbG52xgQYUYw4UlgOo755Be2tJj18wSAKyj1tFBUREZ2tKK8UAoCuGb+zFd3JtsXHytooKiIiIqKOjQkwohgRDKlhLX08kyRJEEIgqKptFBUREZ0tFFTR0v2ZQsFQ6wZDRERE1EmEvxaKiDo0h9WEwormzeQKhTQosgyrydBGURER0dnMdhOEAIQQYX9xcXrHXrPN1JahERERUSvTTh2RHjMWMQFGEecPhLB95zGUlHmgaQI2qxGDB2QisRm1Tqj5xvTtit1Hi6BpArIc3gcqV40PafF29EhPbOPoiIjotP6je8Bo1sNb5YfFHl5Cy1fjh96ox4CxvQAAnsoa7Ph6HzwV1fDV+FFR7EZiWhyMZj3ikhwYNL4XLO0gWVZc7Mau7/JRXROATicjJcWBwQOzoG/mkn0ios5MiAAQ2ASoBQCCgGQDDCMhKWnRDo2oQ2ECjCLG4/Hh85XfYdXavSgp89Su7hAQsFqMGD2iGy6YMRDdspOiG2gnNWVwD/x7zQ64a3yIs5nP2V7VNARDKmaO6A29jh9EiIgiJadfF/Qcko3d6w+EnQBzl1ej97AcWJ1m/OO5j7Dh850oL3bDV+2H3xs4+eWHIsNkNsBsMyIxLQ7j5g7BzKvHICHV2cZ3VN++/YX4/Itd2LI1DzVef+1MN1mSkJbqxJTJfTFrRn+YzZyBTESxS2hVgG8ZhO9jQD0OiNPL4wUgWyEM4yCZL4OkHxDVOOn81Bamj/CYsYgJMIqI4lIPXnx5OQ4eKoZeryAh3lr77a6mCVRV+fDl6j3YvO0obr95CkYNz4luwJ1QcpwNU4f0wLL1e2Ay6GAy6BttqwmBoooqpCU4MG1IjwhGSUREkiRh9nUTcGB7HipL3IhLdjTZ3lXqgV6vw8CxvfD7u99EyfEKKIqEGo8XoYAKRadAr0jQVA1+XwBCaFB0Mpb9ZTW2rsnFnU/9AFm9IjeLYO26fVjyt3WoqvbDbjMhLdVZmwALBEIoLnHjrXe+wfYdebj7zpmIi7NELDYiovZCqGUQnl8Dge2ApAfkJEA69aWA0ADhAXzLIQLrAds9kEyzohswUQfAIvjU5jxVPvzhlS9w4GAxEpNsSEy01VnaIMsSHA4z0tKcqKry49XFq7A790QUI+685l8wGqP7ZqHM7UVllReaVrfIshACXn8QBWVuJNgtePCqyUh0WKMULRFR7Bo2pR+uuHMWNFVDyfFyBAP1i9uHgiGUnqhAKKhiypWjsHrpZpQWVCIuyQZ3eQ1CQRV6ow46vQJZlqHT66A36BDwh+CprEF8igMnDhbh5V+8g7LCyojc1+atR7D4zbUIBEJIT3PCbjfVqXNmMOiQlGRHYoINu3Yfx59eXQGfLxiR2IiI2gshvBCep4DANkBJBpTU75NfACDJgOwElExA+CCqXoTwr49avEQdBRNg1OZWrduLfQeLkJRsa3IpnSRJSE62wePx4Z3/fltb0Jdaj8mgw8+vmY554wdAlmUUlLtRWO5BqasaxZVVOFHmRpUvgH5dU/HIj2ahfzbrChARRcucGybi5l9djsS0OFQUuVCUV4qywkqUFVae+m8X4lOcuHHhpaip8qO0oBIpXeJRXuRGMBCC3qCrV0RfkqSTSTBvEK7SKiRnJuD4oWIsf6ftPzipqoZ//XsjfL4gEhNtTRb4Nxh0SEq0Ydd3x/HNhgNtHhsRUbviWwEEtgJKCiAZG28nSYCcCmg1ENVvQAjuBNwRaZCicsQiLoGkNhUKqVi5Jhc6nRxWHSlJkhAXZ8ahwyXYf6gYvXukRiDK2GIy6LDgorG4cuIgrN15CN/uy4e7xgejXoduaQmYNqQH+menhr3zGBERtQ1JkjBx3giMnj0YW1fvxobPdqCsoBJCCCSmx2H07MEYNqUfPBXV+Of/fQab04xQQEW12wtFJzf6e1ySJMiKDHdFFZLS42C2GvHNp9txyfwpsDrOXSOypXbuysfxExWIj7eG9TfGYNBBkoCVq3IxdXJf/l0iopgghHay5pckN538Ok2SACUJUI8CwS2AYXTbB0nUQTEBRm3qu9wTKCxywekM/w21yaRHZaUX6zceZAKsDSU5rbh84iBcPnFQtEMhIqImGEx6jLlgCMZcMKTB51f9dxNqPD6kZCagotgNVdWgNzT9Fk/RyQgGQvC4amCPs6C00IVta3Mx4aJhbXELAICv1x9ASNVgNIb/9tPhMONIXikOHipBzx4pbRYbEVG7EcoFQgcBKS78ayQTIIIQvpWQmADrcFgEP3K4BJLaVHlFNVRVg+Ecb8TPdPKbaQklZVVtGBkREVHnUFHsPrkKRpYQCp5c/nKu2VKnnz9dJB8AKko8bRpnUbG72bsKm0x6BAMhVFRUt1FURETtjFYKiAAgNXNGrqQH1IK2iYmok+AMMGpTQmt5HS9N01oxEiIios5J0wROl80UAkCYf3pPpsC+b3w+f7PD0dL+BfiegIhiiYawf5HXIQFQWzkWigRNnDwiPWYs4gwwalN2uwmSLCEUat4vY00TiI/j7oNERETnYo+zADi5k69OJwMSwthIRkAAUHTKyeSSAOzxljaNMyHB2uz3A4GgCp1Ogd3edrXJiIjaFSnu5GwuBJp3nQierAVGRI3iDDBqUwP6dUFCnBVujw8J8eEltPz+EHSKjBFDs9s4uvAIIXD4UDE2f3sYLpcXkgQkJNgwcnR3ZHVNjHZ4REQU44ZM7IOP3lwDb5UfNqcFZUUuaJqAojS+DFINaVAUGTanGVUuLywOEwaP792mcY4c0Q0bvj2EUOhkUiscbpcXaWlO9O7FmqBEFCP0/QElA1BPAEqYO7KLICBJkAyT2jY2og6OCTBqUxazAZMn9MZ7S7dA0zTI8rknHVa6apDVJQGDBmRGIMKmfbczH++/9y0O7C9CIBCCEAISJEACli3dgn4DuuCyK0aiZ68w/zgRERG1sq6909B7aA62f7UXqVkJMFtNqHZ7IctSo7XA1JAGZ5INOr2CarcXUy4biYRUZ5vGOXJ4DpISbaisrEFSkv2c7UOqhpCqYtqUvmEnzIiIOjpJMgCmuRBVrwIiBEhhfGTXygA5DTCOb/sAqdWdrF4Q4SL4ER2t/eASSGpz06f0Q2qqA8UlHmjnWGxcUVkDvU7BZRcPg06J7o/nV2v34sXnPsF3u47DZDYgNc2J9Ix4pGXEITXNCb1Bhy3fHsZzv/0I27YejWqsREQUuyRJwoU3TYLNaUF5kRsJaQ4oOhmhoNrgUsigPwidXkF8sgMlxysRl2zHzB+MbfM4TSY95l00DEIIuN3eJtuqqoaSYjeyuiRg4oS2nZlGRNTumGYDum4ni9qLcywd1yoBAJLlh5AkU9vHRtSBMQFGbS4lyY67F8xAUqIdhUUueKp8dd6QCyHg8wVRVOSG0ASuuWIUJozpGcWIgd278rFk0RoEAiGkpTthsRjqfIsuSRKsViPSMuLg8Xjx+isrcORwSRQjJiKiWNZvRDfc8NDFMJj0qKr0Ij7ZDkmSEAyEoKoahBBQVQ0BXxCyIiM+xYHKUg/s8Rbc9sgVyO6THpE4Z87oj3kXD4M/EEJxsRt+f7DO85p2MjlWVORCRkYc7r5rJpwO1v8iotgiyQmQHL8CdFmAevxkkkuctRmI8J1cJin8gPk6wHRJVGKl86cJKSpHLOISSIqI3j1SsfD+ufjP0s3YtuMYCovcJ+ddnvp3Z9Ar6NEtGZfMHYqxo7pHNVYhBD78YAtqqn1ITY9rcit5SZKQkupE4YlKfPbJDiy4c0YEIyUiIvreuDlD4Eiw4cPFq3BoVz7MNiO8VT4E/UEIAUgSoDfoYLaZoNMrGDiuF+bdMgU9BmZFLEZJknD1laOQmurEx5/uwPHj5QiFqs9oAFgtRkyZ3BdXXT4SKSmOiMVGRNSeSLoegPO3ENVvAoGvTybC6jTQA0o3SJarAePsJj+zENFJTIBRxGR2ScB9P5mFwiIXvvn2EErLPFBVDXabCUMHd0W/3umQ5ej/4j56pBR7cwvgcFrC+kMiSRKsNhM2f3sIpaWjw6prQkRE1BYGjO6B/qO64/Du49i6JheuMg9cZVVwlVUhPsUBZ4INccl2jJjaH1lRql8pSRKmTOqDieN7Ydd3x7Hzu3xUVflgMOiQkmzH2DE9kJTIv6VERJKSAcmxEEItBPyrINQiQAQgyTbAMBLQD4MUTo0wIgLABBhFQVqqE5dfPCzaYTRq65Yj8PuDiGvGdvA2uwnFRS5s33IUM2YPbMPoiIiImiZJEroPyET3drCZTFMURcaQwVkYMjhyM9CIiDoiSUkDLD+McJl0ihQBKQpF8GPzp4k1wIjO4jlVmLc504hP77Tl9jRd1JeIiIiIiIiIIo8zwIjOcj7LMNvDEk4iIiIiIiLqGDRx8oj0mLGIM8CIzhIXbwWABreOb4yqagAE4uNtbRQVEREREREREbUUE2BEZxk1pgcsFgOqqnxhX+Nxe+FwWjB8RE7bBUZERERERESdihBSVI5YxAQY0VlSU50YMiwbVW4ftDDmhqqqBq83gPETe8NmN0UgQiIiIiIiIiJqDibAiBpw6eUjkZRsR3GRq8kkmKpqKC5yIaNLPC6YMziCERIRERERERFRuJgAI2pAVtdE3HnPbCQl2VFUWInKyupTdb5OUkMaKsqrUFzkQpfMBNx93xwkpziiGDERERERERF1NFwCGTncBZKoEX37ZeDnv5qHLz7biW++2o+SYjckCQAkAAJx8VbMnjMYMy8YhKQke5SjJSIiIiIiIqLGMAFG1ISMjHjcOH8yLrtyFLZvPQqPxwsAiIuzYujwbFgsxihHSERERERERB2VgASByM7IivR47QUTYERhcDjMmDSlb7TDICIiIiIiIqIWYA0wIiIiIiIiIiLq1DgDjIiIiIiIiIgoCgQA7ZytWn/MWMQZYERERERERERE1KlxBhgRERERERERURQIIUGICBfBj/B47QVngBERERERERERUafGGWBERERERERERFHAGWCRwxlgRERERERERETUqTEBRkREREREREREnRqXQBIRERERERERRQGXQEYOZ4AREREREREREVGnxhlgRERERERERERRIE4dkR4zFnEGGBERERERERERdWpMgBERERERERERUafGJZBERERERERERFEgAIgIr0nkEkgiIiIiIiIiIqJOiDPAiIiIiIiIiIiiQIMEDVLEx4xFnAFGRERERERERESdGmeAERERERERERFFg5BOHpEeMwZxBhgREREREREREXVqTIAREREREREREVGnxiWQRERERERERERRoAkJWoSXJEZ6vPYiqjPA1qxZg0suuQQZGRmQJAnvv/9+necff/xx9O3bF1arFfHx8Zg5cyY2bNjQZJ9LliyBJEn1Dp/P14Z3QkRERERERERE7VVUZ4BVV1djyJAhmD9/Pq688sp6z/fu3Rt//OMf0b17d3i9XrzwwguYPXs2Dhw4gOTk5Eb7dTgc2Lt3b51zJpOp1eMnIiIiou/5fEHs21uAqio/FEVCUrID3bsnw+cPYu++QlTX+KFTFCQn2dEtJwmSFJvfQBMREZ0mTh2RHjMWRTUBNnfuXMydO7fR56+77ro6j59//nksWrQIO3bswIwZMxq9TpIkpKWltVqcRERERNS4khI31qzOxZo1e1FWVgVV1SBJgKzIMFoNCKgaQqoGVRWQJMBo0KFnjxRMndQX40b3gF6vRPsWiIiIqJPrMDXAAoEAXn/9dTidTgwZMqTJtlVVVcjOzoaqqhg6dCh+/etfY9iwYY229/v98Pv9tY/dbnerxU1ERETUmeXmnsArL69AcbEbRqMO8QlW6HQyqr0BHCusRKC8CpIE2G1mdMmMg6LI8PqC2LO3AHv2FmDTliO449YpsFiM0b4VIiIi6sTa/S6Qy5Ytg81mg8lkwgsvvIDly5cjKSmp0fZ9+/bFkiVLsHTpUrz99tswmUyYMGEC9u/f3+g1zzzzDJxOZ+2RlZXVFrdCRERE1KkcOVyC//vD5ygt9SA1zYmERBv0egVefwj5RS6omoDJpIPBoEN1jQ8FJ1yAACxmA1JTHHA6zNiw6RBeeWMVgkE12rdDREQUeSJKRwxq9wmwadOmYdu2bfj6668xZ84c/OAHP0BxcXGj7ceOHYsf/ehHGDJkCCZNmoR//etf6N27N/7v//6v0WsWLlwIl8tVexw7dqwtboWIiIio0xBC4O23v0F5eTWSUxyQZan2fFGpG6GQBr1OhiRJkGUJOp0CT5UPlS5vbR8mkx7xcRZs2noE32w8GK1bISIiohjQ7hNgVqsVPXv2xNixY7Fo0SLodDosWrQo7OtlWcaoUaOanAFmNBrhcDjqHERERETUuCNHSrFvXyGcceba5BcAeP1B1PhDUHRSnSL3sixBAlBZWV2nH5NJDwBYuWYPhIjRr6SJiChmCSFF5YhF7T4BdjYhRJ16XeG037ZtG9LT09swKiIiIqLY8s03++HzBWE2G+qcd3l80DQNcgM7PCo6GT5fEDU1gTrn7XYTDh4qwaEjJW0aMxEREcWuqBbBr6qqwoEDB2ofHz58GNu2bUNCQgISExPx1FNPYd68eUhPT0dZWRlefvll5Ofn4+qrr6695sYbb0SXLl3wzDPPAACeeOIJjB07Fr169YLb7cYf/vAHbNu2DX/6058ifn9EREREndWJE5VQFLnOLC8A8AdCkCSp3nng5CywUEjUq/dlNunhcnlRUuJBj24pbRo3ERERxaaoJsA2bdqEadOm1T5+4IEHAAA33XQTXn31VeTm5uLNN99EaWkpEhMTMWrUKKxduxYDBgyovSYvLw+y/P1EtsrKStx+++0oLCyE0+nEsGHDsGbNGowePTpyN0ZERETUyYWCKtDACopzr2KUGl3qGFK1846LiIioI9EgQWvoD2objxmLopoAmzp1apO1Ht57771z9rFq1ao6j1944QW88MIL5xsaERERETXB4TRDayBhpShSo7tLnX7bp8h1q3CoqgZFlmC1Gls7TCIiIiIAUU6AEcWCkvxybF+Xi6rKGsiKjPgUJ4ZN7Qeb0xLt0M5JCIEjuQXYu+MYvNV+6PUK0nOSMGh0DxiM/PVBRBTLhg7Jxlfr9iEUUqHTKbXn7VYT3NV+CCHqLYNUVQ06nQyLtW7dMLfHh7g4K/r0SotI7ERERO2GQKNfHLXpmDGIn2CJ2sihXcfw2T++wva1uajx+E5+CJAACAFnog3jLhyG2ddPQGJaXLRDrUcIgS1r9+GLdzfh4O7jCPiDkCQJQgCSBKR0icfki4ZgxhUjYTqr+DEREcWG4SNykJRsR2VFDRKTbLXnHTYjispkhFQN+jMSYwCgaRri4+1QFPmMcwJ+fwgXXdAbFv5NISIiojbCBBhRG9j85XdY/OR7cJdXwRZnQWpWIqRTW8SrIRWeimp88uYa7Fi3F3f97jpk9mw/33gLIbD0zXVY9vevEQyosMdbEJdkq/0WPxgIoazIhX+/thJ7thzFHY9dBpvDHOWoiYgo0kwmPebMGYx//P1rVFX5YLOZAJxc3pjotKCovOrk0sZTya5g4ORMsfi472dACyFQUupBYoINUyb2icp9EBERRZMQEoSIbE2uSI/XXsjnbkJEzbF382Esevxd1Hi8SMtOgj3OWpv8AgBFpyAu2YHkzAQcP1iEl3/+NiqK3VGMuK4V/92MpX/9CopOQWpmPCxWY50lLHqDDompTsQl2bFzw0G88fSHJwshExFRzLnggsGYOWsAaqoDKCurQih08u9BUrwV8Q4zVE0gEFDh9wehKDIyMuJhMOoghIDXG0BhkRsOuxl3/nga0lKdUb4bIiIi6syYACNqRUIIvP/aF6iqrEZSRnyDW8CfpugUJGcmIH9/IVb+Z0MEo2xctduLD//6FSRJgjPB2mRbo0mPuGQ7dqw/iO3rD0QoQiIiak9kWcKNN07CtdeNg9NhRllpFQoLXCgtrYJeAKZTs78URYHZaoDXF0BxiQeFRW54vUH07Z2On957AQb27xLlOyEiIqLOjksgiVrR4d3HcWB7HhxJ9iaTX6cpOgUGswHrlm7GhTdPhskS3d2vvl2dC1d5FZLSwvsW3mQ2wFVWhbUfbceISVy6QkQUi2RZwkUXDcX06f2xedNhbNlyBJWVNdDrFaSlx2H48BxUuGuwdXseXG4v9HoFGWlxmDCuJ3r1SA3r7yUREVFnJcT3uyRHcsxYxAQYUSvavOI7+L0BxKU4wr7GkWBFeaELu77ej5EzB7ZhdOf2zee7IEkSlLOKFjfF5jAjd2seSk5UIjkjru2CIyKids1sNmDipD6Y2MgXIlMn9Y1wRERERETf4xJIolZUUewCJKlZ32br9DoIAVSWRr8OWFmRGwaTvlnXGEx6BIMhVJR62igqIiIiIiKizklE6WiJl19+Gd26dYPJZMKIESOwdu3aRtuuWrUK0qnPxmceubm5LRz9/DEBRtSqWvirpJ2s/hCxOheWiIiIiIiIGvXOO+/gvvvuwy9/+Uts3boVkyZNwty5c5GXl9fkdXv37kVBQUHt0atXrwhFXB8TYEStyJnkAIRoViJJDamAAOzxTRedj4T4ZDsC/mCzrgn6Q9DpFTjiLeduTERERERERB3O888/j1tvvRW33XYb+vXrhxdffBFZWVl45ZVXmrwuJSUFaWlptYeihF9up7UxAUbUioZN6QeDSQ9fTSDsa9zl1YhLtmPguN5tGFl4xs4cAE0V0FQt7Gs8rhr0HJiJ1MyENoyMiIiIiIioM5KidABut7vO4ff7G4wwEAhg8+bNmD17dp3zs2fPxtdff93k3Q0bNgzp6emYMWMGVq5cGfar0haYACNqRb2GZiOnXxe4Sz1hzQLTVA3+Gj/GXzQMVoc5AhE2bfS0fnDEWeCqqA6rfcAXhCRJmHThYO7iRURERERE1IFkZWXB6XTWHs8880yD7UpLS6GqKlJTU+ucT01NRWFhYYPXpKen4/XXX8e7776L9957D3369MGMGTOwZs2aVr+PcHEXSKJWJEkS5t0+HX966C2UF7qQkOZsNDGkqRqK88uRkpWI6VeNiXCkDXPEW3HBNWPw7p9Xocrlhc3ZeFIuGAihrNiNASO7YfjE6M9eIyIiIiIi6nDOpyr9+YwJ4NixY3A4HLWnjUZjk5ed/dlWCNHo590+ffqgT5/vd4YeN24cjh07ht///veYPHlyCwM/P5wBRtTKBk/ogxt+Pg96gw5FR0tR4/HWmQ2maRrc5VUoOlaKlMwE/OQ3P0RyO1o+eOF1YzHrqlHw1QRQfKICfl/dmmBqSEVFqQdlRW70HpyFBb+aB4OxeTtHEhERERERUXQ5HI46R2MJsKSkJCiKUm+2V3Fxcb1ZYU0ZO3Ys9u/ff14xnw/OACNqAxPnjUB8ihMfv7kG+7cegaf81JLCU8lxi92MyZeNwsW3TEV6TnL0Am2ALMu49n9mIqtHCr54dxPyD5egMqhCADiZ3JcQl2TDzCtG4sLrxsHWDpZuEhERERERdUhCghARLifTzPEMBgNGjBiB5cuX4/LLL689v3z5clx66aVh97N161akp6c3a+zWxAQYURsZMLYn+o/pgaO5J7Bj3V54KmugKBISUuMwYvoAJKbHRTvERp2s6zUE4y8YhD1bjmLv9qPwVQegN+qQ3jURIyb3gcVminaYREREREREFAEPPPAAbrjhBowcORLjxo3D66+/jry8PNxxxx0AgIULF+L48eP461//CgB48cUXkZOTgwEDBiAQCODvf/873n33Xbz77rtRuwcmwIjakCRJyOnXBTn9ukQ7lBZRFBkDR3XDwFHdoh0KERERERERRck111yDsrIyPPnkkygoKMDAgQPx8ccfIzs7GwBQUFCAvLy82vaBQAA//elPcfz4cZjNZgwYMAAfffQRLrzwwmjdAiQRzlZ1McbtdsPpdMLlctUpCEdERERERERErSdWP3+fvu+rP3wNemtky8oEq7349yULYu41ZxF8IiIiIiIiIiLq1LgEkoiIiIiIiIgoCgQkCES2CH6kx2svmAAjIiIiohYpr6jG1xsOYOPmw3C5vZBlGV3SnZg4rjeGD+0Kg16HsrIqfLX+AL7dcghutw+KIiOzSzwmje+NoYO7Qq9Xon0bRNRBCSGwx1WEL07kYnv5CXjVICyKHkMSumBWl77o40iBJMXmB30iqo8JMCIiIiJqllBIxTvvfYsv1+TCU3UyqaXXyRAAThRWYNO2o0hOsiMjxYEDB4tRVe0/2UavQAjgREElNm05grRUJ264djyGDeka7Vsiog6moMaF53atxK7KE/CFQjAqChRJRpnQcMBdgo/yv8Pg+C54YMA0pFlip8YRETWOCTAiIiIiCltI1fDq4lVY+81+mEx6pKbYIct1y8r6/SEcOFCE3d8dR1KCFampcZDlurMwAoEQCgor8YdXvsAdt07BmFE9InkbRNSB5VdX4hebP0ReVTkSjFYkGa11ZnoJIVATCmBjyRE8vHkpnh5xCTIszihGTNQEceqI9JgxiEXwiYiIiChsSz/eirXfHIDDYUac01Iv+QUArspqhIIqJFmCy+ODPxCs18Zg0CEl2YFAIIg3lqxF3rGySIRPRB1cQFPx1PbPkFddgQyLE1a9od4yR0mSYNUbkW5x4oinDE9v/xwhTYtSxETUXjABRkRERERhqfEG8MXKPTDoFVjMhgbbhEIaKiu9kGUJRoMOqqahsrKmwbaSJCEp0Q63x4tVa3PbMnQi6iQ2lhzBPncxUkw2KA0k4M+kk2Ukm23IdRVhU2lehCIkaiYRpSMGMQFGRERERGH5dvNhlFVUw+EwNdrG4/YiFFKh6GRAAhRZhstz8lxDJEmC2WTAV+sPwFPla6vQiaiT+DR/DzQhYFTCq+ZjUvRQhYZPj+9u48iIqL1jAoyIiIiIwrJrz3EITUCna3znxqpqHyQJtUuSFEWGqmqoqQk0eo3dboLb7cW+/YWtHjMRdR5VQT92VJyATW9s1nU2nRFby/LhDdVfjk0UdZwBFjFMgBERERFRWDxVfig6qck2qioAnNHm1H+qTdTfkWUJmibg9fHDKRE1riYUgCo06KXmfYzVyTJCQkNNqPFEPBF1fkyAEREREVFYjAYFmtb018YnN3s8o404fb7pxBkA6HV8a0pEjdPLCiRI0Jo5fUUTAjIkGJTGZ68SUefHdxlEREREFJasLgkQAhCi8Q+fRpO+ThtNE5AlCQZD4/V6arwBmEx6pKXFtXbIRNSJOAwmJJtsqG7mTK7qUACpZjtsuuYtnSSKhJMrEqUIH7GJCTAiIiIiCsv4MT1hMRtQXe1vtI3Taald0ggAqqrBbDLAbNY3eo3H40Pf3unompnQ6jETUeehSDLmZvZHUNOgicaXVZ9JFRpUoeHCrAG1tQmJKDYxAUZEREREYclIj8OQgZlwe3xQ1YY/fBqNOlgsRqghDWroZJu4OAvq1AU7Q3WNH4oiYfqUvvxwSkTnNCO9N+INFpT4qsNqX+KrQoLRgqlpvdo4MqIWYhH8RgUCAeTn5yMvL6/O0VJMgBERERFR2K67eiy6pMejuMSDUEit97wkSUhNc0DRyQgEQ7DZTHA6zA32VV3th8ftxeQJfTByeLe2Dp2IOoFEkxV39J0ARZJR7PU0uiRbCIEirwc6ScFP+k5CgtES4UiJqKX279+PSZMmwWw2Izs7G926dUO3bt2Qk5ODbt1a/n6h8WIMRERERERnSU1x4Kd3z8aLr3yBY8fLIUsy7A4T9DoFwMmdHKur/LA7zJA0AUmSUFLqgcNuhk6vQAgBnzeIqmof9HoF06f1x83XT4Ci8HtZIgrPBV36QRUaXs1dh/xqF8w6Pex6IxRJhio0eII+eNUQHHoT7uo3CTMz+kQ7ZCJqhptvvhk6nQ7Lli1Denp6q80QZwKMiIiIiJols0sCHnt4Hr7ZeBBfrsnF8RMV8KgaJAAGgw5jR3XHlAl90C0nCRu+PYQvV+eioLASqqpBkgCjQY8J43physQ+GDQgE7LMpY9E1DwXZg5AP2caPj+eiy9O7EVFwAtNaJAlGXEGMy7P7oPZGX2RY0+MdqhETRJCghCR/TsY6fGaa9u2bdi8eTP69u3bqv0yAUZEREREzWa3mTB7+gDMmNIPefnlqK72Q5YlJCXZkZJkr203Z9YgzJw+AHnHylBT44eiyEhKtCP5jDZERC3RzZ6IBX0n4PoeI3G0qhxeNQizoke2LQE2PXd8JOqo+vfvj9LS0lbvlwkwIiIiImoxRZHRLTupyTY6RUb3nOQIRUREscamN2JAfHq0wyBqmWgUpW/nRfB/+9vf4qGHHsLTTz+NQYMGQa+vu5O0w+FoUb9MgBERERERERERUbswc+ZMAMCMGTPqnBfiZG1RVa2/CU84mAAjIiIiIiIiIooK6dQR6THbr5UrV7ZJv0yAERERERERERFRuzBlypQ26ZcJMCIiIiIiIiIialdqamqQl5eHQCBQ5/zgwYNb1B8TYERERERERERE1C6UlJRg/vz5+OSTTxp8vqU1wOTzCYqIiIiIiIiIiKi13HfffaioqMD69ethNpvx6aef4s0330SvXr2wdOnSFvfLGWBERERERERERNEgTh2RHrMd+/LLL/HBBx9g1KhRkGUZ2dnZmDVrFhwOB5555hlcdNFFLeqXM8CIiIiIiIiIiKhdqK6uRkpKCgAgISEBJSUlAIBBgwZhy5YtLe6XCTAiIiIiIiIiImoX+vTpg7179wIAhg4ditdeew3Hjx/Hq6++ivT09Bb3yyWQRERERERERETR0s6XJEbafffdh4KCAgDAY489hgsuuAD/+Mc/YDAYsGTJkhb3ywQYERERERERERG1C9dff33tfw8bNgxHjhxBbm4uunbtiqSkpBb3ywQYEREREREREVEUCHHyiPSYHUEgEMDhw4fRo0cPDB8+/Lz7Yw0wIiIiIiIiIiJqF2pqanDrrbfCYrFgwIAByMvLAwDcc889+M1vftPifpkAIyIiIiIiIiKidmHhwoXYvn07Vq1aBZPJVHt+5syZeOedd1rcb4sTYKFQCF988QVee+01eDweAMCJEydQVVXV4mCIiIiIiIiIiCh2vf/++/jjH/+IiRMnQpKk2vP9+/fHwYMHW9xvi2qAHT16FHPmzEFeXh78fj9mzZoFu92OZ599Fj6fD6+++mqLAyIiIiIiIiIiothUUlKClJSUeuerq6vrJMSaq0UzwO69916MHDkSFRUVMJvNtecvv/xyrFixosXBEBERERERERHFDCFF52jHRo0ahY8++qj28emk15///GeMGzeuxf22aAbYunXr8NVXX8FgMNQ5n52djePHj7c4GCIiIiIiIiIiil3PPPMM5syZg927dyMUCuGll17Cd999h2+++QarV69ucb8tmgGmaRpUVa13Pj8/H3a7vcXBEBERERERERHFCklE52jPxo8fj6+++go1NTXo0aMHPv/8c6SmpuKbb77BiBEjWtxvi2aAzZo1Cy+++CJef/11ACeno1VVVeGxxx7DhRde2OJgiIiIiIiIiIgotg0aNAhvvvlmq/bZogTYCy+8gGnTpqF///7w+Xy47rrrsH//fiQlJeHtt99u1QCJiIiIiIiIiCi2FBcXo7i4GJqm1Tk/ePDgFvXXogRYRkYGtm3bhrfffhtbtmyBpmm49dZbcf3119cpik9ERERERERERI0Qp45Ij9mObd68GTfddBP27NkDIeoGK0lSgyW5wtGiBBgAmM1m3HLLLbjlllta2gURERERUbMJIbDnQCG+21+AGm8ABr2C9BQnRg3JgdVsOHcHRJ2AEAK5lSXYVHIMnoAfiiwjw+LApPRuiDNyUsKZ/GoIX+fn4WBFOXyhEMx6PfolJWN0eiZ0covKYhNRG5o/fz569+6NRYsWITU1tXYXyPMVdgJs6dKlYXc6b968FgVDRERERNQYIQS+2nwIH6/chcPHShEInvwGWAIASUJC3LeYPLonLp01BHarKaqxErWlbwqP4p2D27CrvAg+NQgJ3384fH3PBszs0hPX9RqGZLMtilFGn18N4d97dmHZgb04UeWGJsTJmS8SoEgysp1OXNqrPy7r3Q8KE2EUNdKpI9Jjtl+HDx/Ge++9h549e7Zqv2EnwC677LI6jyVJanAqGoAWT0cjIiIiImqIEALvLNuM9z/fjpCqwmm3ICFOV/v+M6RqcHu8eO+z7di9vxA//fFMJMRZoxw1Uet799BOvPrdevjUIOKNZiSZLN9/DtM0VAZ8+NfBHdhSehy/HnUButrjoxxxdFQHA3hy3Up8lX8UellBktkKg6LUPu8LhXDU5cJLm75GbnkJHhozCfozniei6JkxYwa2b9/e6gmwsNPcmqbVHp9//jmGDh2KTz75BJWVlXC5XPjkk08wfPhwfPrpp60aIBERERHRp6t3473PtkGvV5CW7ITZpK+zJEKnyEiIsyI53obcg4V46S8r4fMHoxgxUetbkb8fr3z3DQQEulgdsOoNdf4dKLKMRJMFGVYHDrjK8Pim5aj0e6MYcXQIIfD7Deuw7thRJJotSLXa6iS/AMCk0yHdZofDYMInB/fh1a0boxQtxTwRpaMde+ONN7B48WI88cQTePfdd7F06dI6R0u1qAbYfffdh1dffRUTJ06sPXfBBRfAYrHg9ttvx549e1ocEBERERHRmapr/PjvZ9sgyxKc9qZrG+n1CpISbPhufwE2bDuCKWN6RShKorYV1FQs2bsJAS2ELlZnk211sowMqx37XCX49Nhe/LDn0MgE2U5sLy7E6rzDiDeZYNbpm2xrMxgQ1FR8eGAvLu3VD12dcZEJkoga9fXXX2PdunX45JNP6j13PkXwW7TQ+eDBg3A66//SdTqdOHLkSIsCISIiIiJqyPpth1FWWY04hyWs9ga9DhKAL7/eW69kB1FHtbH4GPKqKpFkCm9pr05WoJcVfHR0D4JabJWo+ezQfvhVFVZ9eJtixBlNqA4E8PnhA20cGRGF45577sENN9yAgoKCOqsRNU07r5JbLUqAjRo1Cvfddx8KCgpqzxUWFuLBBx/E6NGjWxwMEREREdHZvvr2ICTp5DLHcNltJuw/Uoy8ExVtGBlR5Kw+cQiqpsGohL+IJ95oxrEqF3aUFZy7cSdRFQhgzbEjsJ21PLQpkiTBqFPw6eH9TJpT5HEJZD1lZWW4//77kZqa2qr9tigBtnjxYhQXFyM7Oxs9e/ZEz5490bVrVxQUFGDRokWtGiARERERxbayymoY9M2r3GEw6BAKqXB7Yq/+EXVOxV4PdM3cqdAgKwhqKspjqA5Ypd8Lv6rC2MyC9kZFh+pAAN4QawcSRdsVV1yBlStXtnq/LaoB1rNnT+zYsQPLly9Hbm4uhBDo378/Zs6cGXaWnYiIiIiozXAWB1EtfkILn8RXiyItGjOy2vmfyN69e2PhwoVYt24dBg0aBL2+bi2/e+65p0X9tigBBpycJjp79mzMnj27pV0QEREREZ1TUoINx4tczbomEFSh1yuIc4ZXN4yovUs12xFqZmLXr6kwKAoSTbHz7yDeZIZJUeALqbA0Xf++Dn8ohCSLFSZdiz8iE1EreeONN2Cz2bB69WqsXr26znOSJEU2Afbkk082+fyjjz7aomCIiIiIiM42cWQPbN9zHKGQCp0uvGVN7iofBvZOR2ZaXNsGRxQh07r0wGfH9sKnhmAKsw5Yhb8GXW3xGJSQ3sbRtR9WvQFTunbD+/v2IN5kCmuFkhACflXFnO69uKKJqB04fPhwm/TbogTYf//73zqPg8EgDh8+DJ1Ohx49ejABRkREREStZvTQbvjnh5tR6fYiKcF2zvb+QAgSgBnj+/LDLHUaI5OzkGOPxyF3OTKsjnP+bAc1FaomcHF2v2bXDuvoLujeC58c2oeqYAB2g/Gc7Sv9PtgMBszq1jMC0RGdTULkFyrH5t/GFv0m3Lp1a51j165dKCgowIwZM3D//fe3doxEREREFMOsZgOumDMUAgKV7qaLeQeCIZRVVGFg3wyMHpoTmQCJIkAny5jfdxSMih4lvuomdysMaioKqj3oG5eMOVl9Ihhl+zAoORUzcnqg0udDTbDpovaegB81wSAu690PWQ5nhCIkomhota8CHA4HnnzySTzyyCOt1SUREREREQBg9qR+uPrC4VBVFYUlLtR4A3USAMGQirKKKpRVVGNg7wzcc9M0GA2s5UOdy5SMHrhn0AToJBn51S54Av46/w5CmoZSbzUKazzoE5eMx0bOhsNgimLE0SFJEh4YNQHTs7ujwudFYZUH/lCoThtvKIgTVW54An7M69UXPx46KkrRUqyTRHSOWNSq7woqKyvhcjWvQCkRERER0blIkoQr5wxDVno8Pl75HfYfKYbL4z21DOzkO/mUBDumjuuNi6YPgtVsiG7ARG3kkpz+SLPY8e+DO7Ct9ATyA27I+H5TtySTBZd3G4hreg6NqeL3ZzPr9Xhk4jQM2peKpftzccxdCfWMZKFeltErPhGX9u6Pi3v2gczl0kSdXosSYH/4wx/qPBZCoKCgAH/7298wZ86cVgmMiIiIiOhMkiRhzNBuGD0kBweOluC7fQWo8Qag1yvISHFixKCuMBmbse0bUQc1KiULo1KycNBVho0lx1AV9EMnyUiz2DExvRvs+nPXvYoFBkXBD/oNwuW9+2NjQT4OVJTBFwrBotejX2IKhqWmQ4mx+mhE7V0oFMJTTz2FW265BVlZWa3atySaWjzeiG7dutV5LMsykpOTMX36dCxcuBB2u73VAowGt9sNp9MJl8sFh8MR7XCIiIiIiIiIOqVY/fx9+r6v/NtfoLdEdrZmsKYG794wv92+5jabDbt27UJOTk6r9tuiGWBttSUlERERERERERHFrpkzZ2LVqlW4+eabW7XfFiXAbrnlFrz00kv1ZnpVV1fj7rvvxuLFi1slOCIiIiIiIiIiih1z587FwoULsWvXLowYMQJWq7XO8/PmzWtRvy1aAqkoCgoKCpCSklLnfGlpKdLS0hA6a4eNjiZWp2ASERERERERRVKsfv7mEsjGyU3U5pMkCaqqtqjfZs0Ac7vdEEJACAGPxwOT6fstdVVVxccff1wvKUZERERERERERPVJ4uQR6THbM03T2qTfZiXA4uLiIEkSJElC79696z0vSRKeeOKJVguOiIiIiIiIiIjofDUrAbZy5UoIITB9+nS8++67SEhIqH3OYDAgOzsbGRkZrR4kERERERERERHFhtWrV+P3v/899uzZA0mS0K9fP/zsZz/DpEmTWtxnsxJgU6ZMAXByF8iuXbtCkqQWD0xERERERERERHSmv//975g/fz6uuOIK3HPPPRBC4Ouvv8aMGTOwZMkSXHfddS3qN+wE2I4dOzBw4EDIsgyXy4WdO3c22nbw4MEtCoaIiIiIiIiIiGLXU089hWeffRb3339/7bl7770Xzz//PH7961+3fQJs6NChKCwsREpKCoYOHQpJktDQBpLnU5GfiIiIiIiIiChmiFNHpMdsxw4dOoRLLrmk3vl58+bhF7/4RYv7DTsBdvjwYSQnJ9f+NxERERERERERUWvKysrCihUr0LNnzzrnV6xYgaysrBb3G3YCLDs7u8H/JiIiIiIiIiIiag0PPvgg7rnnHmzbtg3jx4+HJElYt24dlixZgpdeeqnF/TarCP5pS5cubfC8JEkwmUzo2bMnunXr1uKgiIiIiIiIiIg6PS6BrOcnP/kJ0tLS8Nxzz+Ff//oXAKBfv3545513cOmll7a43xYlwC677LIGa4CdPidJEiZOnIj3338f8fHxLQ6OiIiIiIiIOjYhBMr9NfCqQRhlHeKNFuhkOdphRVxQVVFZ7UVA1WA16uE0myBJUrTDImqXLr/8clx++eWt2meLEmDLly/HL3/5Szz11FMYPXo0AGDjxo341a9+hUceeQROpxMLFizAT3/6UyxatKhVAyYiIiIiIqL2rzoYwNrCQ/jo2G4ccJdCEwISJKSZbbiwa39Mz+iFJJM12mG2uUKXB1/uOYjPdu1HRbUXQggosox+GSmYM7AXxvboCqO+RR/NqTPgDLCIadG/snvvvRevv/46xo8fX3tuxowZMJlMuP322/Hdd9/hxRdfxC233NJqgRIREREREVHHkFtZhP/d+gWOVVdAggS73ghFkaEJgbzqSvzxu3V46+AW3DtgMqZl9Dx3hx2QEALLtudi8drN8Ph8MCgKLEYDZElCSFWx6XA+Nh85jp4pCVh48VRkJcRFO2SiqElISMC+ffuQlJSE+Pj4JmdHlpeXt2iMFiXADh48CIfDUe+8w+HAoUOHAAC9evVCaWlpi4IiIiIiIiKijmmfqwS/3PQxSrzVSLXYoZeVOs/b9EaoQkOJtwq/3f4lBASmZ/SKUrRt54Otu/H66o2QICEjzgG5zgd6PRxmEwIhFXsLS/HIe8vx1JUXoEt8/c/ZRLHghRdegN1uBwC8+OKLbTJGixJgI0aMwM9+9jP89a9/RXJyMgCgpKQEDz30EEaNGgUA2L9/PzIzM1svUiIiIiIiImrXgpqK32xfgRJvNTKszrOSPt9TJBmpZjuKvB68tGsN+selIs3SeZI/+4tK8Zd1myFLMpJslkbbGXQKMuLsOFbhwkvLv8Jvr57DumAUk2666SYAQCgUAgBccMEFSEtLa9UxWlR5cNGiRTh8+DAyMzPRs2dP9OrVC5mZmThy5AjeeOMNAEBVVRUeeeSRVg2WiIiIiIiI2q+NJXk47C5DstnWaPLrNEmSkGK2o9xfgxUn9kcowshYvusAqnwBJFrN52yryDISLGbsPlGEfUVcRUWxTafT4Sc/+Qn8fn/r992Si/r06YM9e/bgs88+w759+yCEQN++fTFr1izIp3bzuOyyy1ozTiIiIiIiImrnPju2F6oQMCrhfdSUJQkGRYePj+3BVd2GhH1de+by+rBy7yFYjfqwZ3NZDHqU13ix/LsD6JOW3MYRUrvCIvj1jBkzBlu3bkV2dnar9tvi3y6SJGHOnDmYM2dOa8ZDREREREREHZAQArsqCmDRGZp1nV1vRIm3CkVeD7ra4tsousg5UloBj9eHBGvjSx/PJkkSjIqC744XtWFkRB3DnXfeiQcffBD5+fkYMWIErNa6u8UOHjy4Rf22OAG2YsUKrFixAsXFxdA0rc5zixcvbmm3RERERERE1AGpQiCoqedc+ng2RZKhQcCnhtoossgKhFRoQkCRm/c6yLIMbyDYRlFReyWJk0ekx2zPrrnmGgDAPffcU3tOkiQIISBJElRVbVG/LUqAPfHEE3jyyScxcuRIpKens0gfERERERFRjFMkCXpZQSAUaNZ1qtCgSDLMir6NIossk14HWZahagJKM6puq5oGq7F5s+eIOqPDhw+3Sb8tSoC9+uqrWLJkCW644YbWjoeIiIiIiCgmhTQN+0pL4fb5ocgSUm02dI2Li3ZYYZMkCcOTMvF5/t5mXecO+JBljUN6A7tAeoI+HK4qhTcUgFHRo5stEU5D+EsLo6F7cgLizCa4ff4md4A8kxACwZCKIVnpbRwdUfvX2rW/TmtRAiwQCGD8+PGtHQsREREREVHMqfR68cWBg/h43z7kVboQOlVixqTTYUh6Gub27o2JOdnQyc2YThQlczL7YuWJ/fCFgjDpzj2jSxMaQpqGi7r2r3N/hzwl+KJgN74szIU74IMGDTIk2PWm/2/vz8PsKOv8//9VVWft031Or0lnT8hCQkIWIGxhSSAEAUFwFBCZoOICynxEREa+6A/E0TiiiA4CwiCLo8iMIuMoggESSdgJCSGEkIUknaU7Se/L2avu3x+BhiadTnenu08vz8d11XXNqXPfdb+rqdTlec99v2+dNnyKFo44SkfGynvzVrotEgxo4fRJeuTlN1qXbB1KSyqtcNCvhdMn9UGE6FeMtf/o6zH7ud/85je65557tHXrVr344osaN26c7rjjDk2YMEGf+MQnunXNbr1Bv/jFL+p3v/tdtwYEAAAAAOy3paZWX//LE/rFiy9pa12dCoIBDc+PaFh+RH7H1ksVO/S9Z5/V959dpuZ015YW5sKcklGaEitTdbJZrvE6bGuMUVW8SWWhiM4YObn1/FO739INq/5Hf9i+SolsRiXBPA0PRVUSzFfKzep/d6zRt1//ox6vWC1j+mcxo4VHTVIsHNLeppZDxph1PdUlkpozdqSOKCvuowiB/uvuu+/Wddddp3PPPVf19fWtNb8KCwt1xx13dPu63ZoBlkwmde+99+rpp5/WzJkz5fe3zezffvvt3Q4IAAAAAIaCXQ2N+u7Sp7WzsUHlBQUHzPAqCAZVEAwqns7o2S3vyvU8ffeMBQr6ur2XWa9zbFs3zl6of33lL9rZUq9h4QIFnQPjzXiu9iaaVOAP6luzzlBpaP8ub89Uvq27NiyTazyNChe2mT3lWFJxMKIik6fadIv+c9MKOZat88fM6rP766zxpUX66oIT9fOnn9eexhaVFeTJaWcGXyKdUXVzXJOGl+jrZ83LQaRA//Mf//Efuu+++3ThhRfqRz/6Uev54447Ttdff323r9utN+fatWs1e/ZsSdK6devafEdBfAAAAAA4tF+9+qoqGho0KlrQbnLkfXkBvywrTyu3V+jvmzfr/KlT+zDKrhubX6QfHf9x/WD1Um1qrJZrPEV8AfksW64ximfTMjIaEY7q+pkLdFzZGElSfTqu+zY9p6znanj4wHpg77MsSyXBfO1LNumhLS9obul4lYdjfXV7nbZw+iT5HFt3L3tJVQ3Nsm1LeQG/bMtSxvUUT6fldxzNGTdS/3rOaSrpZL0wYLDbunWr5syZc8D5YDColpaWbl+3WwmwZcuWdXtAAAAAABjqKurr9erOnSoMBTtMfr0v7PerLpHUExs26uNHHtnvJx6Myy/SL+f9k17ZV6End2zQmppdco2RbVmaWTxC5409SqcMP0IR/we7Hj63Z6PqUi2dTmaVBPO1O1Gv5VXv6NIJx/fWrRyW+VOP0JxxI/XcO1v15Jsbtbu+Sa5nFPA5mjd5shZNn6xZY0bItvv3f0/0HsvsP/p6zP5swoQJWrNmzQHF8P/2t7/pqKOO6vZ1D3vu7M6dO2VZlkaNGnW4lwIAAACAIeHZd99Vcyqt0bGDz3T6qMJwSJtqavRm1R7NHNE/C8B/mN92NG/4BM0bPkEZz1Uim1HQ8SlgOwck8Iwxemr3W3IsW47VuVLVtmUpYPv0991v6Z/GHSu/7fTGbRy2WDik82dP08dnTVUq6yqdzSovEJDP6f+bGgAfdtddd+m2225TZWWlpk+frjvuuEOnnnrqIfs9//zzOv300zVjxgytWbPmkO2/9a1v6Wtf+5qSyaSMMXrllVf0yCOPaMmSJfrP//zPbsffrX9xnufp1ltvVSwW07hx4zR27FgVFhbq+9//vjyv40KHAAAAADDUVdTVy7KsLs3kCvt8SruudjY29mJkvcNvO4oGQgo6vnbvOeFmVJVoUJ4v0E7vg4v4AqpLx9WQTvRUqL3GsiyF/D5FwyGSXxhwHn30UV177bW66aabtHr1ap166qk655xzVFFR0WG/hoYGLV68WGeeeWanx/r85z+vm2++WTfccIPi8bguu+wy3XPPPfr5z3+uSy+9tNv30K0ZYDfddJPuv/9+/ehHP9K8efNkjNHzzz+vW265RclkUj/4wQ+6HRAAAAAADHbJrKuurnqzLEuWpMx7O6INJhnPlTH7Z3V1hSVLxhhlvGwvRQb0MvPe0ddjdtHtt9+uK6+8Ul/84hclSXfccYeeeuop3X333VqyZMlB+33lK1/RZZddJsdx9Pjjj3d6vC996Uv60pe+pOrqanmep2HDhnU96I/oVtr5oYce0n/+53/q6quv1syZMzVr1ix99atf1X333acHH3yw09d57rnndP7552vkyJGyLOuAP8Ytt9yiqVOnKhKJqKioSAsXLtTLL7/c6ev//ve/l2VZuvDCCzvdBwAAAAB6W2E4JNd07Veo5xkZSZFA12ZJDQR57xXJz5qurSjKGleObSviD/ZSZMDg1djY2OZIpVLttkun01q1apUWLVrU5vyiRYv0wgsvHPT6DzzwgLZs2aKbb765S3GdccYZqq+vlySVlpa2Jr8aGxt1xhlndOlaH9atBFhtba2mtrPzyNSpU1VbW9vp67S0tGjWrFm688472/1+ypQpuvPOO/Xmm29q5cqVGj9+vBYtWqR9+/Yd8trbt2/X9ddf36n1qAAAAADQl44ZOfK93QA7P5urIZVUNBjU7AFQ/6ur/Laj40rHK55t/wf4wTRnUppeOFJRf7iXIgN63/uF8PvqeN+YMWMUi8Vaj4PN5Kqurpbruho+fHib88OHD1dVVVW7fTZt2qRvf/vb+u1vfyufr2uLD5cvX650On3A+WQyqRUrVnTpWh/WrSWQ7yetfvGLX7Q5f+edd2rmzJmdvs4555yjc84556DfX3bZZW0+33777br//vu1du3aDtePuq6rz372s/re976nFStWtGYOAQAAAKA/mDdurMrzC1QTj2tYfuSQ7Y0xak6ldcG0qSqNHLr9QLRwxDT9Y887SrhphZ1Dz3JLuVlZlqVFI6f3QXTA4LNjxw5Fox9sxBEMdjyTsr3NK9qr6ee6ri677DJ973vf05QpUzodz9q1a1v/7/Xr17dJrrmuqyeffPKwNmDsVgLsxz/+sc477zw9/fTTOumkk2RZll544QXt2LFDTzzxRLeD6Ug6nda9996rWCymWbNmddj21ltvVVlZma688spOZQdTqVSbqX6NA7CoJAAAAICBI+z366L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fp7+v3aSlb25SdVNcrufJsvYvIT32iFE6e9YUzZsynuQXAAAAAKBTLrnkEtXU1OjWW29VZWWlZsyYoSeeeELjxo2TJFVWVqqioqK1/a9+9Stls1l97Wtf09e+9rXW81dccYUefPDBvg5fEgkw9DNb99Zq7fZKRfM6Lr73YYWRkPY0NOvFjRU6Y8bEXoyua156Y5tq6uMq60Qi7335eUGteXun/rziLTW2JFVe3LkdGi3LUiQc0PPrtukzC+foc6cfq4tPPFrrd+1VczItv+NoRFGBJpQVdapIIQAAAACgL3RzStZhj9l1X/3qV/XVr3613e8+mtRavnx5t8boTSTA0K9s2LVPiXRWRZGD74j4UX7HkecZvb1rT79KgL2zdY8848nXhdpk+XlBVe5r1CtvV8iSJbud5Z8HE80Lak9tszbuqNZJ0yPKCwZ03BGjuxM6AAAAAACDCmug0K/E02lZ1oHbqx6KZVlqSaZ7KaruaY6nZFtd+ydmWZYsS2pOpOV0cYmibdsyMkqk+tffAQAAAACAXGMGGPqVgM8nY/bv8tiVJJiRUagf1f+SpFDQL9PF7WyNMTJGCgUc1bV0va8kBf38swYAAACAAWH/D+C+H3MIYgYY+pXxZUXy+2wlM9lO93E9T5YsjS8r6sXIum7cyGJJkud5ne6TSGUUDDiaNr5crud1KYHWnEgrHAxo7PD+9XcAAAAAACDXSIChX5kxZrgmDi9RfUuy030a4ikV5oV02rQJvRhZ151yzEQVRIJqakl1uk9jc1KTxpbpn+bPVCQUUHOi88sZm+IpzZ40UmOGFXYjWgAAAABAn/NydAxBJMDQr1iWpXPnTJVlSS2dqGWVybqKp9I6/agjVNiFwvl9oTiWp5PnHKHmeEqZrHvI9i2JlCxLWnjyVI0ZVqhjpoxWY0tSrnvot1NTPCm/z9ZZx03pidABAAAAABhUSICh3zlzxiTNn36E6lsSakqkDroMMJnJak9Ds6aNHqbLT5vTx1F2zmfOPVaTx5Vpb02TUun2l3UaY9TUklRjc1Lz507Wqcfu38nyyvOO17jyIlXVNil9kASaMUYNzQm1JNI678SjNHfqmF67FwAAAAAABiqqZaPf8Tm2rj33FAV9Pj395mY1JJLKDwYU8vsky1I6m1VTIi3bsnTMEaP0rfNPVzQcynXY7YoVhPXtLy3SHQ8v0/otVTLGKD8vqIDfJ2OMkums4omUggGfzj5lmj5/0Yly7P156bLCfH138Vm67ffLtWnnPslIBZGg/I7z3m6PGSWSGYWCfn3ytJm6fNGxXd49EwAAAACQO5aMLPVtUfq+Hq+/IAGGfing8+n/nTNPZ86YpKff3Kzn39mm5lRaxkh+x9ZJU8Zq0cwpmjtxtPw+J9fhdqikMKLvXv0xrXprh559eaPWb6lSU0tSliUFA36dPe8onT53kqYeMfyABNaIkqh++KVz9fL67Vr62kZt3LFPyVRWliXlBQM667gjtWDORE0aVUryCwAAAACAgyABhn7LsizNGFuuGWPL9YUzjlNtc0Ke5ykaDqk0Gsl1eF0S8Pt00uwJOmn2BFXXNas5npJtWyqK5qkg0vHstVDAp9NnT9Rps47QvvoWNSdS8jm2SmIRRUKBProDAAAAAECPM+8dfT3mEEQCDANCNBzqt8scu6q0KF+lRfld7mdZloYV5WtYN/oCAAAAADCUkQADAAAAAADIBc/sP/p6zCGIXSABAAAAAAAwqDEDDAOWMUabqmpU09QiY6RYXlBHjhwmn0NeFwAAAAAAfIAEGAacRDqj597eqqfWbNSmqmqlM64kye+zNbo4prNnH6kzZkxULG9w1AwDAAAAAAxWVMHvKyTAMKDUNsd12//+Q6u37ZYlKZYXUkl+niQpnXVVUV2ve/7+ov7+xkbdeNECjS0tzGm8AAAAAAAg91grhgGjJZnWkj8t06p3d6kkP08jiqLKCwZkW5Zsy1LI71N5YYGGxwq0papG3//DM9rT0JzrsAEAAAAAOAgjmT4+hugMMBJgGDD+8vrbWru9SmWxiIL+g09e9Dm2RhQVaNu+Ov12xeo+jBAAAAAAAPRHJMAwIKSzWT21ZqP8jq2g79Ardx3bVkEooBfe2a7qxpY+iBAAAAAAAPRXJMAwILy2ZZcq65pUGAl3uk80HFJTIqkVb2/txcgAAAAAAOgmk6NjCCIBhgGhqr5JRkYBn9PpPrZtyUiqrG/qvcAAAAAAAEC/xy6QGBCyrtvtvuls9/sCAAAAANBrWgvT9/GYQxAzwDAg5AUD770Xuv4PNT8U6IWIAAAAAADAQMEMMHRLOpvVK9t2qbKhUVnXU34ooGPGjlJpJE+vbN2pPQ1Nynqe8kNBHTtulEYUFnR7rJZkWulUVtmsqx3V9coPBVWQF5TfaX85pJv11NKUVCKRUTaTlZdwVd+UUGFB5+uHdUdtY1yrNuxQUzwlSSqJ5em4qWMVCZOAAwAAAAC0w3j7j74ecwgiAYYuaU6m9Oe1G/S3tzaqqqGpdUaW6xm5WVeWsWRZUsBx9tfWM1IkGNAJR4zWhXOO0lGjhnd6rNqmuP780lt69o3NqmmKK55MK+FmVdeUkM/nKJYXUmk0olBg/2OcSWdVt69FTfUJZTOeXM+Tz3H012VvacWrWzRv1gR9/JTpGj2ssEf/Jtsqa/XX59frhTe3qimRkvWh74qjeZp/zCSdN2+6SmORHh0XAAAAAAB0DgkwdFpNc1zf/+uzWrt7jwKOrZJIngI+R+msq4q9dWpOpWWMkd9xNLo4puK8sDxj1JRM6Zn1W/Tq1p265syTdeZREw85VsW+ei3572e1rapWoYBPZbF8FURCere2Vp4x8jxPNU1xNcaTGlNWKL9sVW6rUzqVlW1bshxLjuNoVElMhXlBNbak9NeV6/XqWxX6xmXzNWPiiB75m6zeuFM/f/Q5VTe0KD8cUHlxgWx7fwos63pqaE7qD8++oVfXV+iGfz5TY4cX9ci4AAAAAACg86gBhk6JpzP6wd+W6Y1dVRqWH9GwgnwFfI5cz9OOffWKpzMK+n0KB/wyknbWNaghkZRtWYqFQxpdFFUindUvnn5er7y7o8Oxapvi+tF7ya/hRQUqiUbkc2zlBwMaFYvKtvbv7uj32cp6niqq6rRza63Sqawcvy3P2r+r67BYREX5Ydm2rcKCsEaWRlXd0KLbf7dM23bXHvbfZNOOffrZ7/+huqa4RpVFVVgQbk1+SZLPsVUSy1N5SYG276nTj//rWVU3tBz2uAAAAACAQcLk6BiCSIChU559Z4ve2Fml4QURBXwf1N6qa06oJZWW3+fItixZliW/Y8szRpWNTa2bS1iWpeHRiOKpjB5cuUqud/A1x399dYO2vpf88jltH9GSvDyNLSxU0O9T1vNkJGWaM0om0vJso6znyefYGlkc1fDCgjbLEW3bUnlJgfbVtegPz6457L/J75euVl1jXOUlBbIs66DtHMfW8OICba+q1d9eWH/Y4wIAAAAAgK4hAYZD8jyjv63bKNuyFPB9sGrWGKPa5rgsSfaHEkCWZclvO0plsmpKpdqcL8kPa2t1nd7YUdnuWIl0Rk+v2ahgwHdA8ut9heGQjiwr1YTiIhUGQ/Jl94+dHwpqbGmRjhxZptKCPLWXkrItS9FIUKs27FRldWPX/xjv2VZZq3XvViqWH+ow+fU+n2MrFPBp2eubFU+muz0uAAAAAGAQMSY3xxBEAgyHtGHPPr27r1aF4VCb8y2pjFIZt91ElW3vX6ZYH0+0OR/y+5VxXf1jw9Z2x1q1aaeqG1oUi4Ta/b71+palWCikYl9QftlyHFv5waCKIiE5dscJqYK8oOKJtF58c1uH7Try0rptSqQyXdrhMZYfUk1Di1Zt2NntcQEAAAAAQNeRAMMh1TTHlcpmFfK33TMh67oyxhx0BpQlS6mse8B5n21rT2Nz+2M1xWWM5Hecdr//qEzGlaz9s8sy7oFjtRvXe/HWNcY71b7dOBvjMjr4vbfH99491TZSBwwAAAAAgL7ELpA4JHOQCnmHM2vyYDXAjJG6kFP6SOeuNDXyDuMGzOH07XZPAAAAAMCgkosliSyB7HvPPfeczj//fI0cOVKWZenxxx9v8/0tt9yiqVOnKhKJqKioSAsXLtTLL7/c4TXvu+8+nXrqqSoqKmrt88orr/TiXQx+sXBIfsdR+iOzuXyOLUsHT+gYY+RvZ3lk1vNUWhBpf6xISEYHT5B9lPPe9Y0xB60Z1l5ckhQ9xDLLjsTyw22u1Rmu58mYwxsXAAAAAAB0XU4TYC0tLZo1a5buvPPOdr+fMmWK7rzzTr355ptauXKlxo8fr0WLFmnfvn0Hveby5cv1mc98RsuWLdOLL76osWPHatGiRdq1a1dv3cagd9SIYRpZGFV9ItnmfCQUkN/nKOsemKzyjJEsKRYOtzmfzrpyLFunTB7f7ljHTBylwkhYDS3Jdr//qPyC/UXoLSNF84Kd6hNPphUO+nX89LGdat+e46eNVdDvU11jXFXVTdpZVa9dVQ3aW9OkZCrbbp/GlpRi+SEdc+Tobo8LAAAAABhEjHJQBD/XN50bOV0Cec455+icc8456PeXXXZZm8+333677r//fq1du1Znnnlmu31++9vftvl833336Q9/+IOeeeYZLV68+PCDHoL8jqNzpk/RPc+9rKzrtc60si1LxQV5qqprOqAWWNb1FHAcxcJtk1K1LXGNKCrQ3AntJ4FikZBOn3GE/vTiOhVGjOxDFLT3+WzZAVtWSgoH/Ye8F2OM6puTOnbqGI0fUXzI9gfT1JhQMp5RTVOLbFlt7r26rkWRcEDDigsUDu+PyfOM4om0zjhlugrzwwe7LAAAAAAA6AUDpgh+Op3Wvffeq1gsplmzZnW6XzweVyaTUXHxwZMdqVRKjY2NbQ60ddZRk3REWbGqGpvaLE8sioQV9PuUzrqtywHfL0Y/PJov+0OJodqWhGzb0mUnzFbAd/Ai9+cdP1XDC/NVVdf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lJUXMnDlTfPvtt+Ldd98VcXFxIiUlRRQVFQVtKzU1NWj7d911l3j77bfF0qVLxapVq8TLL78sYmJixIwZMxq0v0TUNlSdUzZv3iyuv/56MXTo0MB7b7/9tjCbzcLhcIg+ffoEnev9fr+YOHGiMJvN4vHHHxcrVqwQ77//vkhOTha9e/cOyttCPT/26NFDdO3aVXz00UdizZo14quvvhL33HNP0G/Rqb9hVU79zazar+TkZHHzzTeLb7/9Vnz55ZfC5/OJp59+WkiSJGbOnCkWLVok5s+fL4YPHy7MZrPYuXNntXVceuml4ptvvhEff/yx6Nq1ayAnqUtZWZmIiIgQCQkJ4p133hGHDx+udd6G/r6npqaKESNGBOXKUVFR4q677hKXXnqpWLRokZg3b56Ij48X/fv3D/rNq/odTUpKEq+99ppYtmyZuOOOOwQAcdttt1Xb1snH+kzzsTFjxog+ffpUm37WWWcJjUYT+MzUlsPs3LlT2O120a9fP/Hhhx+K5cuXi3vuuUfIsiwee+yxwPqmTp0qUlJShN/vD9rOP//5T6HT6UR+fr4QomH5z+kei4bkREuXLhVarVb0799fzJ07V6xatUrMmTNHXH311YF5Qj0GNVFVVUyYMEFoNBrx8MMPi+XLl4sXX3xRmM1mMWjQIOFyuYQQQqxfv15cdNFFwmg0VsvDalJ1raOqqkhNTRX//Oc/A+9dddVVYvTo0SIvL++M8s/TXbbq+CcnJ4tx48aJL7/8UixfvlwcPnw48N4HH3wQmH/NmjXinnvuEV9++aVYs2aN+Prrr8Vll10mjEaj2LNnT53HV4jq56Hvv/8+8Pe/7rrrxOLFi8Unn3wiOnbsKLp16xZ0zX2qjIwM8be//U0AEPPnzw/8Laqu9aqup3v37i0+/PBDsWzZMnHFFVcIAGLNmjWB9ZzJ93bevHkCgHjnnXfq3feThZprVp2PevToUS33ffzxx0W/fv0CtYJzzjlH6PV6cfz48cDyVddjqamp4t577xXLli0TL730UuAz7fF4grZ18m+YEEJMnz5dzJ49W6xYsUKsWLFCPPnkk8JoNIrHH3+8QftLrQeLki1MVaJV00tRlMB8L774ogBQZyFh8+bN1U7qVWorShqNRnHs2LHAtG3btgkAIjExUZSXlwemL1iwQAAQCxcurHX7Pp9PlJWVCbPZLF599dXA9C+++EIAqPbDVl5eLqKiosSUKVOCpvv9fjFgwICghHzYsGEiKSlJOJ3OwDSHwyGioqIaVJSsKvjm5eWJV199VUiSJIYMGRJ0TBRFEXv37g1a/i9/+YuwWCzi6NGjQdOr/i5VyfP27dsFAPHuu+8GzTd06FAxePDgWuPz+XzC6/WKG2+8UQwaNCjovVN/WJ999lkhy7LYvHlz0HxffvmlACCWLFkSmAZAxMfHBwqLQgiRnZ0tZFkWzz77bGDaeeedJyIiIupMdkI9BjXZvXu3ACBuvfXWoOkbN24UAMS//vWvwLSTC431OXneDz74QOj1elFQUCB8Pp9ITEwMJIanFiVP1ZDj35BlAQi73S4KCwurLVfbBd2p6x0/fryYOnVqrfNVqa0o2a9fv6Bka9OmTQKA+OSTT+pcX23f26ptARAbN24Mmt67d28xYcKEwL8b8lk91aeffioAiFmzZlV779QbOLVRVVV4vV6xZs0aAUD8+uuvgfduuOEGAUB89dVXQeuNjY0VAMTPP/8cmF5QUCAURRF33313YFrVufvUv01VMfWpp54K2lZdF85+v194vV7x4YcfCkVRavy8EFHbdnJRsuoCuuom1pAhQwIXracWJT/55JNq5zIhfs8J33rrrRq3V9v5MT8/XwAQr7zySp3xNrQoOW3atKD50tPThUajEX/729+CppeWloqEhITATUa/3y+SkpLEWWedFVTUO3LkiNBqtfUWJYUQYvHixSImJiaQX0dHR4srrriizpxWiPp/3xMSEkRZWVlgWlWuPHDgwKBYX3nllaAb00L8/jv6v//9L2i9f/7zn4Usy0G51qnH+kzysapt9+nTJ/AbmpmZKe6//34BQFxxxRVB260ph5kwYYLo0KFDtRvwt99+uzAYDIH5Fy5cKACI5cuXB+bx+XwiKSlJ/PGPf6w1vrryn9M9Fg3Jibp06SK6dOkSdM1xqlCPQU2WLl0qAIjnn38+aPpnn31W7RqitocqanLyvI8++qhISEgQXq9XFBQUCL1eL+bOnVtjUfJUDTn+oS5bdfy7dOkSVKA6+b2arl9PXq/H4xHdunUTd911V+0H4YTaipIXXXRR0Hyff/65ACDWr19f5/peeOEFAaDGmxqpqanCYDAEfQadTqeIiooSf/nLXwLTzuR7++9//zvwwMapQs2J68o1q85HJ998r8p9jUZjUAGyqlbw2muvBaZVXY+d+repKqZ+/PHHQds6tShZU5xPPPGEiI6OrvMBBmq92Hy7hfrwww+xefPmoNfGjRsD71c1zb7yyivx+eef4/jx442y3YEDBwb1pdirVy8AlY9Wm0ymatNPbppdVlaG++67D127doVGo4FGo4HFYkF5eTl2795d77bXrVuHwsJC3HDDDfD5fIGXqqqYOHEiNm/ejPLycpSXl2Pz5s34wx/+AIPBEFjearViypQpIe9reXk5tFottFotYmNjceedd2LSpEnVRl7s378/unfvHjRt0aJFGDduHJKSkoJinTRpEoDKDugBoF+/fhg8eHDgcXcA2L17NzZt2lSt2dUXX3yBkSNHwmKxQKPRQKvVYvbs2fUeu0WLFqFv374YOHBgUCwTJkyosTnBuHHjgjrGj4+PR1xcXOBvWVFRgTVr1uDKK69EbGxsndsN5RjU5PvvvweAaiPhDR06FL169aqxuX5DXXHFFdDpdJg3bx6WLFmC7OzsOkfeO93j39BlzzvvPERGRoa0D7NmzcJZZ50Fg8EQWO93330XUky1ufjii6EoSuDf/fv3BxD8XT4dCQkJGDp0aNC0/v37B623oZ/VUBQXFwe+x1Wvk7uWOHToEK699lokJCRAURRotVqMGTMGAKodR0mScNFFFwX+rdFo0LVrVyQmJgb1RxQVFRX0nTnZddddF/TvESNGIDU1NfCZr80vv/yCSy65BNHR0YE4p02bBr/fj3379oV+QIiozRkzZgy6dOmCOXPm4LfffsPmzZtrbbq9aNEiREREYMqUKUHn2YEDByIhISHoPBvK+TEqKgpdunTBCy+8gJdeegm//PJLo/S7+Mc//jHo38uWLYPP58O0adOC4jYYDBgzZkwg7r179yIzMxPXXnttUDdEqampGDFiREjbvuiii5Ceno6vv/4a//jHP9CnTx8sWLAAl1xySbW++hry+z5u3DiYzebAv6ty5UmTJgXFWlMODVTmsZdccknQtGuvvRaqquKHH36odX/OJB+rsnPnzsBvaFJSEv7v//4P1113XbX+Bk/NYVwuF7777jtMnToVJpMpaPsXXXQRXC5XoDn0pEmTkJCQEJQTL1u2DJmZmdU+z6eb/zT0WNSXE+3btw8HDx7EjTfeGHTNcbKGHIOaVA26eWqOesUVV8BsNjdKTjxjxgzk5OTg22+/xbx586DT6QLd8tTkTPLPhix7ySWXhDT4pM/nwzPPPIPevXtDp9NBo9FAp9Nh//79Z5QTn/p9a6yceODAgejYsWPg3waDAd27d6+WE5/p9/ZU27Ztq5YTnzwCdkNyzcTERAwePDjw76rcd+DAgUhKSgpMr+18BlTPia+88kpoNJp6c+JVq1bh/PPPh91uD8T5yCOPoKCgALm5uaEfEGo1ONBNC9WrV686B7oZPXo0FixYgNdeey3Qz1+fPn3w4IMP1tq3RCiioqKC/q3T6eqc7nK5AtOuvfZafPfdd3j44YcxZMgQ2Gy2wEW+0+msd9s5OTkAgMsvv7zWeQoLCyFJElRVRUJCQrX3a5pWG6PRGEjy9Ho9UlNTaxyZraZ+h3JycvDNN9/U+kN68g/AzJkzcdttt2HPnj3o2bMnPvjgA+j1+qC/0/z583HllVfiiiuuwL333ouEhARoNBq8/fbbNfZBcmosBw4cCCkWAIiOjq42j16vD/yNioqK4Pf76x0IqSHH4FR19emUlJR0xskAAJjNZlx11VWYM2cOUlNTcf755yM1NbXGec/k+Dd02dr6sTrVSy+9hHvuuQd//etf8eSTTyImJgaKouDhhx8+owTs1L9/1WjmoXxHG7LeqnWfvN6GflZPVpXc1XQRt3nzZgCVCd7JAxeUlZXh3HPPhcFgwFNPPYXu3bvDZDIF+rg5dZ9NJlO1iw6dTlft/Fc1/eTzX5XazktVn/mapKen49xzz0WPHj3w6quvIi0tDQaDAZs2bcJtt912xn8bImrdJEnCjBkz8Nprr8HlcqF79+4499xza5w3JycHxcXFgTztVFXn2VDPj5Ik4bvvvsMTTzyB559/Hvfccw+ioqJw3XXX4emnnz7t0b9P/S2sygGrbrqfqqqvx6pzaW3n2iNHjoS0faPRiMsuuwyXXXYZgMrz8KRJk/Dmm2/illtuQZ8+fRr8+34mOTRQeZO4pn0CUOdvyJnkY1W6dOmCTz/9FJIkwWAwoFOnTkEPI1Q59e9WUFAAn8+H119/Ha+//nqd29doNLj++uvx+uuvo7i4GBEREZg7dy4SExMxYcKEwPxnkv809FjUlxNV9X9XV07ckGNQ2/IajabagwCSJNWbP4QqNTUV48ePx5w5c3DkyBFcffXVMJlMqKioqDbvmRz/hi4bak589913480338R9992HMWPGIDIyErIs46abbjqjHKm5c+LT/d7WlhP36NEjkBO/++67QTcVGppr1pb7hno+A6qfpzUaDaKjo+v8TG/atAkXXnghxo4di/feey/Q3+aCBQvw9NNPMyduo1iUbMUuvfRSXHrppXC73diwYQOeffZZXHvttUhLS8Pw4cPDGktJSQkWLVqERx99NGgQCrfbjcLCwpDWERMTAwB4/fXXax11LT4+Hl6vF5IkITs7u9r7NU2rjSzLIY1wXtNokDExMejfvz+efvrpGpc5+Q7SNddcg7vvvhtz587F008/jY8++giXXXZZ0J3mjz/+GJ06dcJnn30WtL2TB5WpTUxMDIxGY63Fs6rjGqqoqCgoihI04Ext6w31GJyq6sc6KyurWqKXmZnZ4JhrM3PmTLz//vvYvn17nSPQncnxb+iyoY4u+vHHH2Ps2LF4++23g6aXlpaGtHxLdCaf1cGDByMyMhLffPMNnnnmmcB0RVEC3+OqkdqrrFq1CpmZmVi9enXg6R8AQR3HN7bazktdu3atdZkFCxagvLwc8+fPDyqcnzyIBBG1b9OnT8cjjzyCWbNm1fq7C1SeR6Ojo2sdeKCqiNiQ82Nqaipmz54NoPLJsc8//xyPPfYYPB4PZs2aBaDygrum373aLj5P/S2sOv9/+eWXtd5ABH7PH840BzxVx44dcfPNN+POO+/Ezp070adPnzPKDU5HVWH2ZFX7VFORo8qZ5GNVDAbDaeXEkZGRUBQF119/fbWB5qp06tQp8P9nzJiBF154AZ9++imuuuoqLFy4EHfeeWfQ04pnkv80xrE4WVWhsK6cuKHH4FTR0dHw+XzIy8sLKkwKIZCdnV1rob6hZs6ciT/96U9QVbXasT3ZmRz/hi7bkJx42rRpQfkfUFm4i4iICGkdLc2ZfFbHjh0LjUaDhQsX4uabbw5MrxpgC0C1QUybI9fMzs4OaoHp8/lQUFBQ5/ns008/hVarxaJFi4IeFFiwYEGTxUnNj0XJNkCv12PMmDGIiIjAsmXL8Msvv2D48OGNdrcnFJIkQQgR2GaV999/v9qogbXFNXLkSERERGDXrl3Vms+cTKfTYejQoZg/fz5eeOGFwAmrtLQU33zzTWPsTr0mT56MJUuWoEuXLvU2xY2MjMRll12GDz/8EMOHD0d2dna1ZiqSJEGn0wX9OGdnZ4c0+vPkyZPxzDPPIDo6us6kJ1RGoxFjxozBF198gaeffrrWQlFDjsGpzjvvPACVScbJydbmzZuxe/duPPjgg6e/AycZPnw4Zs6ciZKSEkydOrXW+c7k+J/JsvWt99Tv0/bt27F+/XqkpKSc0bpPR2OcT87ks6rT6XDvvffiX//6F5577jncd9999S5T9Tc59Ti+8847Ddp2Q8ybNy+oWeK6detw9OhR3HTTTbUuU1OcQohqzeaIqP1KTk7Gvffeiz179uCGG26odb7Jkyfj008/hd/vx7Bhw2qd73TPj927d8dDDz2Er776Cj///HNgelpaGrZv3x4076pVq1BWVlbn+qpMmDABGo0GBw8erNa0+2Q9evRAYmIiPvnkE9x9992B/Th69CjWrVtXb9GptLQUkiTBYrFUe6/qSa6qdTTV73tdsS1cuDCoSel///tfyLKM0aNH17rcmeRjZ8pkMmHcuHH45Zdf0L9//1qf0K3Sq1cvDBs2DB988AH8fj/cbne1EaDPJP9p7GPRvXv3QNcJd999d7W4gIYfg1ONHz8ezz//PD7++GPcddddgelfffUVysvLMX78+DPeDwCYOnUqpk6dCrvdXuvDH8CZHf+myl1rWu/ixYtx/PjxOm/6NpXGyolP97OamJiImTNn4t1338Wnn36Kq6++ut5lmiPXnDdvXlAT8M8//xw+n6/aaNunxqnRaIJuVDidTnz00UdNFic1PxYlW6gdO3bA5/NVm96lSxfExsbikUcewbFjxzB+/Hh06NABxcXFePXVV4P6A+rSpQuMRiPmzZuHXr16wWKxICkpqcF3CUNhs9kwevRovPDCC4iJiUFaWhrWrFmD2bNnV7uD1bdvXwCVj5VbrdZAM5Ho6Gi8/vrruOGGG1BYWIjLL78ccXFxyMvLw6+//oq8vLzAnbcnn3wSEydOxAUXXIB77rkHfr8fzz33HMxmc8hPZp6JJ554AitWrMCIESNwxx13oEePHnC5XDhy5AiWLFmCWbNmBT0BOHPmTHz22We4/fbb0aFDB5x//vlB65s8eTLmz5+PW2+9FZdffjkyMjLw5JNPIjExEfv3768zljvvvBNfffUVRo8ejbvuugv9+/eHqqpIT0/H8uXLcc8999R5YVKTl156CaNGjcKwYcNw//33o2vXrsjJycHChQvxzjvvwGq1NvgYnKxHjx64+eab8frrr0OWZUyaNAlHjhzBww8/jJSUlKCk7ExVPd1RlzM5/meybH3rffLJJ/Hoo49izJgx2Lt3L5544gl06tSpxnNDU6vrexuqM/2s3nfffdizZw/uv/9+/PDDD7jqqquQlpYGt9uNQ4cO4f3334eiKIEmZyNGjEBkZCT++te/4tFHH4VWq8W8efPw66+/ntnBqMOWLVtw00034YorrkBGRgYefPBBJCcn49Zbb611mQsuuAA6nQ7XXHMN/vnPf8LlcuHtt99GUVFRk8VJRK3Pv//973rnufrqqzFv3jxcdNFF+Pvf/46hQ4dCq9Xi2LFj+P7773HppZdi6tSpIZ8ft2/fjttvvx1XXHEFunXrBp1Oh1WrVmH79u1BLWOuv/56PPzww3jkkUcwZswY7Nq1C2+88QbsdntI+5aWloYnnngCDz74IA4dOoSJEyciMjISOTk52LRpE8xmMx5//HHIsownn3wSN910E6ZOnYo///nPKC4uxmOPPRZSFz579+7FhAkTcPXVV2PMmDFITExEUVERFi9ejHfffRdjx44N9E3ZVL/vtYmOjsYtt9yC9PR0dO/eHUuWLMF7772HW265Jah/ulOdST7WGF599VWMGjUK5557Lm655RakpaWhtLQUBw4cwDfffBPoM7HKzJkz8Ze//AWZmZkYMWIEevToEfT+meQ/TXEs3nzzTUyZMgXnnHMO7rrrLnTs2BHp6elYtmxZoBVOQ4/ByS644AJMmDAB9913HxwOB0aOHInt27fj0UcfxaBBg3D99dc3KN7aGAwGfPnll/XOdybHv6ly18mTJ2Pu3Lno2bMn+vfvj61bt+KFF15o0s91Xfr16weg8u9+ww03QKvVokePHg3qzuJMP6uvvPIKDh8+jOuuuw4LFy7EpZdeiqSkJFRUVGDPnj349NNPYTAYAs3DmyPXnD9/PjQaDS644ALs3LkTDz/8MAYMGIArr7yy1mUuvvhivPTSS7j22mtx8803o6CgAC+++GKNNwSoDWnecXboVHWNvg1AvPfee0IIIRYtWiQmTZokkpOThU6nE3FxceKiiy4Sa9euDVrfJ598Inr27Cm0Wm3QCGm1jb598cUXV4sJgLjtttuCplWNjPbCCy8Eph07dkz88Y9/FJGRkcJqtYqJEyeKHTt21Dha8SuvvCI6deokFEWpNsLamjVrxMUXXyyioqKEVqsVycnJ4uKLLxZffPFF0DoWLlwo+vfvL3Q6nejYsaP497//XeN+1STU0etqOyZCCJGXlyfuuOMO0alTJ6HVakVUVJQYPHiwePDBB4NGXxSicuSwlJQUAUA8+OCDNa7v3//+t0hLSxN6vV706tVLvPfee7X+nU49nmVlZeKhhx4SPXr0EDqdTtjtdtGvXz9x1113iezs7MB8Nf0ta1vnrl27xBVXXCGio6MDx3j69OnC5XKd1jE4ld/vF88995zo3r270Gq1IiYmRvzpT38SGRkZQfOd7ujbdalp9O0zOf6hLlvb8a967+QRDN1ut/jHP/4hkpOThcFgEGeddZZYsGBBvSM3V6lt9O2Tv7O1bbs2tX1vq0buPFVNsYb6Wa3LwoULxZQpU0R8fLzQaDTCarWKgQMHinvuuUfs2bMnaN5169aJ4cOHC5PJJGJjY8VNN90kfv7552rnndrOCbXt26nnhqpz9/Lly8X1118vIiIihNFoFBdddJHYv39/vcflm2++EQMGDBAGg0EkJyeLe++9V3z77be1jnhORG3byaNv1+XU0beFqBx99cUXXwycUywWi+jZs6f4y1/+EnQ+CuX8mJOTI6ZPny569uwpzGazsFgson///uLll18OGrXY7XaLf/7znyIlJUUYjUYxZswYsW3btlpH365tvxYsWCDGjRsnbDab0Ov1IjU1VVx++eVi5cqVQfO9//77olu3bkKn04nu3buLOXPmhPT7WFRUJJ566ilx3nnnBXJos9ksBg4cKJ566ilRUVERNP+Z/L7X9rtbNfLvyXlt1W/N6tWrxdlnny30er1ITEwU//rXv6qNoFvTb/aZ5GO1/c6dqq4c5vDhw2LmzJkiOTlZaLVaERsbK0aMGCGeeuqpavOWlJQIo9EYdF1zsobkP6d7LBqaE61fv15MmjRJ2O12odfrRZcuXaqNLNyQY3Aqp9Mp7rvvPpGamiq0Wq1ITEwUt9xyiygqKgqa73RH365NTaNvn8nxD3XZuo5/TaNvFxUViRtvvFHExcUJk8kkRo0aJdauXVvvyM1Vaht9+9Rry1BG/q7ywAMPiKSkJCHLclCuVtu1Y02xnsn3VojKa6kPP/xQXHDBBSImJkZoNBpht9vF0KFDxcMPPyyOHTsWNH+ouWaouW+VU88NVefIrVu3iilTpgiLxSKsVqu45pprRE5OTr3HZc6cOaJHjx5Cr9eLzp07i2effVbMnj271hHPqfWThBCiccucREREREREFIqxY8ciPz+/Wt/IREREbZ3c3AEQERERERERERFR+8KiJBEREREREREREYUVm28TERERERERERFRWPFJSSIiIiIiIiIiIgorFiWJiIiIiIiIiIgorFiUJCIiIiIiIiIiorDSNHcALZGqqsjMzITVaoUkSc0dDhERUdgJIVBaWoqkpCTIcnjuYbpcLng8nrBs61Q6nQ4Gg6FZtk1UG+akRETU3jEnbdtYlKxBZmYmUlJSmjsMIiKiZpeRkYEOHTo0+XZcLhc6pUUiO8fV5NuqSUJCAg4fPtyukkBq+ZiTEhERVWJO2jaxKFkDq9UKoPJDb7PZmjkaIiKi8HM4HEhJSQn8JjY1j8eD7BwXjm6fCptVG5ZtVnGUepHa/2t4PJ52kwBS68CclIiI2jvmpG0bi5I1qGoeY7PZmAASEVG7Fu4mo1arBlZbeNMTARHW7RGFijkpERFRJeakbRMHuiEiIiIiIiIiIqKwYlGSiIiIiIiIiIiIworNt4mIiKjF8EPAL8LbdMXfDpvKEBEREVHtmJOGB5+UJCIiIiIiIiIiorDik5JERETUYogT/4V7m0REREREVZiThgeflCQiIiIiIiIiIqKw4pOSRERE1GKoJ/4L9zaJiIiIiKowJw0PPilJREREREREREREYcWiJBEREREREREREYUVm28TERFRi6GKyle4t0lEREREVIU5aXjwSUkiIiIiIiIiIiIKKz4pSURERC2GOPFfuLdJRERERFSFOWl48ElJIiIiIiIiIiIiCisWJYmIiIiIiIiIiCis2HybiIiIWgw/BPxhbroS7u0RERERUcvGnDQ8+KQkERERERERERERhRWflCQiIqIWg52KExEREVFzY04aHixKElGrlJVegA0rd2DXlsOoKHVBZ9Sic69kjJjQD517JUGSpOYOkYiIiIjasIoyF7au3o3Nq3aiMMcBWZYQkxiBYRf0w8BR3aE36po7RCKiFo1FSSJqVUpLKjDv1WXY9tN+OMvd0GhkKBoFqqri4M5M/LB4G7r27YBpd09CYsfo5g6XiBpIFZWvcG+TiIgoVEIIfPflJiz+6EcU5ZYCENDqKi+t0/dn45e1exGTGIHL/jwOIycNaN5giei0MCcNDxYliajVcBSV49UHPsf+347BajcivkNk0BORQgi4KjzYtfkwXrr3E/z92SvRoXNcM0ZMRERERG2JEALz312FxR/+CFmWER1vh0arBM3j9fhQkF2Cuc9+g3KHExdedU4zRUtE1LJxoBsiahWEEPjguUXY/1sGYhJssNiN1ZpoS5IEo1mPuOQI5B4vwqwnFsBV4W6miImIiIiorVm/bDu+/egn6A26GguSAKDVaRCbFAlJAr56+ztsX7+/GSIlImr5WJQkolbh0O5M7NhyGPYoc6B5TG1kRUZMgh3HDuZi6w97wxQhETUGAUAN86sdtpQhIqLToKoqln+6AX6/Clukud75I2KscDk9+O6LTWGIjogaE3PS8GBRkohahXXLfoPH5YXRrA9pfo1WgSQBPyzaBiHa4+mdiIiIiBrTnq1HcOxADmxRlpDmlyQJ1ggT9vx8BBkHsps4OiKi1odFSSJq8YQQ+OXHfdAbtQ0aVdtsM+Lo/mwU5JQ0YXRE1JhUiGZ5ERER1Wf31sPwev0wNGBUbZPFALfTg91bjzRdYETU6JiThgeLkkTU4vm8frhdHmg01fvsqYtGq8DvU+EsZ7+SRERERHRmTienlCQJkCVUlLqaICIiotaNRUkiavE0WgWyLDe4GbYQApIEaLR190FJRERERFQfjVZB6G12ficB9faJTkTUHrEoSUQtniRJSEqLgbPC06DlnGVumG1GRMZamygyImps4e5QvOpFRERUn/iUaEAC/P7Qfzm8Hh8AIK5DZFOFRURNgDlpeLAoSUStwrkXDQAE4PP5Q5pfCAG3y4sRE/o1qN8fIiIiIqKanD22F6yRZpQVl4e8jKOoHLFJkRgwonsTRkZE1DqxKElErcLg0T0RHW9DYW5pSM24SwrLYTLrMfyCvmGIjogaC+9KExFRS2WNNGPYBX1RUe6Gz1v/jXKP2wuvx4dRkwdCZ9CGIUIiaizMScODRUkiahWMZj2uvWMC9AYtCnIctRYmhRAoKSyD1+PH5Gmj0KFzXJgjJSIiIqK2avIN5yKtZxLysooCTbNr4nF5UZBTgl5npeH8K4aFMUIiotaDve0SUasxeHQP+LwX46OXliInoxB6kw4WmxGKIkNVBSrKXCgvc8Fo1GPqzNG46NrhzR0yETWQCgnqaQ0jcGbbJCIiCkVEtBV/e/YqvP3wlzi06xgkSYIt0gytvvJJSI/Lg9LiCgBA32FdcPNjf4DJYmjOkInoNDAnDQ8WJYmoVRk2vg9SusThx6XbsX7ZDhQXlEP1q5BlCUaLHuddMhgjJvZH9/4pzR0qEREREbVBscmR+Mdr12PTdzvxw/+2IuNALnxFlf1ManUadB+YitFTBuHscb2hZ9/mRES1YlGSiFqdpLRYXPnX8Zj8p5FI358DZ4UbeoMWSakxiIjhSNtERERE1LRMFgPGXjoYo6cMwtG92SgtKgckIDLWig5d4iFJ7e+JJyKihmJRkohaLZPFgJ6DUps7DCJqRKqofIV7m0RERKdDlmV06pXU3GEQUSNjThoeHOiGiIiI6DS89dZb6NSpEwwGAwYPHoy1a9fWOu/06dMhSVK1V58+fcIYMRERERFRy8GiJBEREbUYajO9Guqzzz7DnXfeiQcffBC//PILzj33XEyaNAnp6ek1zv/qq68iKysr8MrIyEBUVBSuuOKK09g6ERERETWl1pKTtnYsShJRiyaEQFZmEQ7uy8aRQ7lwlDibOyQiIrz00ku48cYbcdNNN6FXr1545ZVXkJKSgrfffrvG+e12OxISEgKvLVu2oKioCDNmzAhz5EREdDqKK5zYn5OPPVl5OF5UAiHaYTtLIqJGxj4liahFcjo92Lz+ANas3Imjh/Ph9/khSRL0Bg2GnNMVo8b1QreeiexEnIgajcPhCPq3Xq+HXq+vNp/H48HWrVtx//33B02/8MILsW7dupC2NXv2bJx//vlITWW/uERELZUQAtuPZWPlzgP46cBRuLxeCAFoFBk9EmIwsW8PjOyWCqNO29yhEhG1SixKElGLk3W8CG/+31IcPZwHSQKsVgM0Zh0gKouVq5bvwE9r9mLchX1w9Q2joNEozR0yETUSFRJUhPdmQ9X2UlJSgqY/+uijeOyxx6rNn5+fD7/fj/j4+KDp8fHxyM7Ornd7WVlZ+Pbbb/Hf//739IMmIqIm5fH5MOv7TVi2Yx/cPh/Meh3sBgMkCfD4VfyakY1f07PRIyEGD0weh+RIW3OHTESNqDlz0vaERUkialHych14+dlFyDxWgJhYG7Ta4IKjTq+BzW5EWZkLyxb9Cr9PxbSbx/KJSSI6YxkZGbDZfr+orOkpyZOdet4RQoR0Lpo7dy4iIiJw2WWXnVacRETUtFRV4I3vNuDb7XthNegRYzEFnd91GsCi18Hj82N3Vh4eW7ACz/xxAmJtlmaMmoio9WGfkkTUovz3g7U4nlGIuHh7tYJkFUmSYLUaYbHqsXrlTmzddCjMURJRU1GF1CwvALDZbEGv2oqSMTExUBSl2lORubm51Z6ePJUQAnPmzMH1118PnU7XOAeNiIga1Q/7DmP5jn2wG/WwGfW13nDSaRQk2q04lFeE93/YEuYoiagpNWdO2p6wKElELUbmsULs+DUdNrsBilL/6cliMcDvU/HDyp1hiI6IqJJOp8PgwYOxYsWKoOkrVqzAiBEj6lx2zZo1OHDgAG688camDJGIiE6TEAJLtu+FXwhYDHU/MQ9U9i9pM+qx4VAGMosd9c5PRES/Y1GSiFqM9Wv3wVnhgdlcfwJYxWLVY/eO4ziWXtCEkRFRuIgT/feE8yVOo/+eu+++G++//z7mzJmD3bt346677kJ6ejr++te/AgAeeOABTJs2rdpys2fPxrBhw9C3b98zPlZERNT4DuQWYFdmLuxGQ8jLWA16lLvd+H43W+8QtRWtJSdt7dinJBG1GEcO5UKRpQb1D2ky65GdVYLMY4Xo0DG6CaMjIvrdVVddhYKCAjzxxBPIyspC3759sWTJksBo2llZWUhPTw9apqSkBF999RVeffXV5giZiIhCcLSgGC6vF9FmY8jLyJIECRIO5RU2YWRERG0Pi5JE1GJ4XF5IcsPuDkmSVDkKotvXRFEREdXs1ltvxa233lrje3Pnzq02zW63o6KioomjIiKiM+Hx+SGhYTfJAUCWJTi93iaKioiobWJRkohaDLPVAL9fNGgZVVUBAAYTB4wgaguqmq+Ee5tEREQAYNJpISCgCgG5AYVJv6rCFkIflETUOjAnDQ/2KUlELUavvh0AIeD3qyEvU+pwwWI1oEu3hCaMjIiIiIjagz5JcbAa9HA4XSEv41NVABL6pyQ2XWBERG0Qi5JE1GIMG9kNtggTSh3OkOYXQqCiwoOhI7ohMsrcxNERUTioQmqWFxEREQDE2iwY0TUVZW4PhAitBU9JhQvRFiPO7Z7WtMERUdgwJw0PFiWJqMWw2U0YNbYnXE4v3K66++QRQqAwvwxmix5jxvcJU4RERERE1NZd1L8HzHod8svq7wfY6fHC6fVhYt/usLL5NhFRg7AoSUQtyh+uPgeDhnRCYWE5Sh3OGu9Q+3x+5OWVQtbIuG7GaHTuFt8MkRIRERFRW9QnOR5/HjMUkgRkl5TCV0PXQkIIlFS4UFBegZHdUnHd8IHhD5SIqJXjQDdE1KLoDVrces8kzJvzAzb8uA/ZWSXQ6RRoNAqEANzuyicoo6ItuGb6KAwb2b2ZIyaixsROxYmIqCWYPKAnjFotZq/djJzSMkgADFotJABevx8evx9mvQ6XDOyFv4wdBp2Gl9ZEbQlz0vDgmZOIWhyDQYsbbx2Piy49C+t+2IvN6/ajtNQFRSOjS/d4jBrbC4PP6QKjkSNuExEREVHTGN+7C87pkoIf9x/B8h37cbzIAb9QEWszY0yPTjivV1ckR9qaO0wiolaLRUkiarESkyPxx2vOwR+vOQdCCEhS+7tzRNTe8K40ERG1JGa9DhP6dseEvpWtc5iTErUPzEnDg31KElGrwOSPiIiIiJobc1IiosbDJyWJiIioxai8Kx3ee6bt8a40EREREdWOOWl48ElJIiIiIiIiIiIiCisWJYmIiIiIiIiIiCis2HybiIiIWgz1xCvc2yQiIiIiqsKcNDz4pCQRERERERERERGFFZ+UJCIiohZDFTJUEeZOxcO8PSIiIiJq2ZiThkf722MiIiIiIiIiIiJqVixKEhERERERERERUVix+TYRERG1GCokqJDCvk0iIiIioirMScODT0oSERERERERERFRWPFJSSIiImoxRDPclRbt8K40EREREdWOOWl48ElJIiIiIiIiIiIiCisWJYmIiIiIiIiIiCis2HybiIiIWgxVyFBFeO+Zhnt7RERERNSyMScNj/a3x0RERERERERERNSs+KQkERERtRgCUtg7+W6PnYoTERERUe2Yk4YHn5QkIiIiIiIiIiKisOKTkkRERNRi+IUEvwjvXeJwb4+IiIiIWjbmpOHBJyWJiIiIiIiIiIgorFiUJCIiIiIiIiIiorBi820iIiJqMVRIUMPcyXe4t0dERERELRtz0vDgk5JEREREREREREQUVnxSkohaHSEEju7JxLpvtmLn+v2oKHVCb9IhpXsS7BEGHNmZgcLMIgghEJ0UheFTzsbQiwbBGmlp7tCJqB4CMkSY75mGe3tERNQ2OApKsXHxz9iwaAsKs4shSRJiOkQhZXA3lPglZKQXwO3ywWTWo9+gjhg5pgdSUmMgSe3vaSii1oY5aXiwKElErUpxngMfPP4ldm08AHeFB1qDFrIsIftgNrav/BWqX4VGpyA6IQIavRYFmYXYs3E/5r+6GBfffAEm3XgeE0EiIiIiOm2qqmLxuyvx7ezv4MgvhazI0Bq08EoK9pX64d9XBEkjwx5pgTnCBIejAulH8/Hd0t/Qd0BHzLxlHGx2U3PvBhFRs2NRkohajaLcErx02xwc2XkM9mgrImJtAIC8Izlw5BVDliVodDr4fX6UFJShQ7dERMbZK/+dX4pP//01SgtLceW9l7IwSUREREQNJoTAf5+Zj2UffA+dXovYlGgoGgVOFcj3yBAC0EJA9fpQmlsMg05BTHIUhBCoKPdgy4YDKCwoxT0PXgJ7BAuTRNS+tb9nQ4moVRJC4P2HPsfRnccQ2yEaJpsRkiTBkVeC/PQ8yLIMrUEHRaNAq9fC6/Hh+MEc+P0qFI2CqIQIGC0GfPv+d/jx603NvTtEVAs/pGZ5ERERhWLN5+uw4j9rYLaZEJkQAUWjwCeATK8MnwC0EqDIErR6LSRJQv7xApQWlkGSJJgtesTG2XBofw5mv/kdhBDNvTtEVAvmpOHBoiQRtQr7fzmCvVsPwR5ng0arAKgsVBYeL4AqBDS63x/8lqTKRNDj8qK0sCww3RplgaqqWPnRGqiqGvZ9ICIiIqLWy+/zY/mHayCEgCXSHJhe6pfgOVGQPLkxjkangaoKFOYUo6r8qNEqsEeYsPO3DBw+mBveHSAiamFYlCSiVmHdNz/D4/LCYNIHpjkdTjhLndBoq/dEIUkSIFX2QXkyW7QNR3cdw55NB5o8ZiJqOFVIzfIiIiKqz671+5C5Pwv2E10IAYAQQLG/8v/X1DuQRqPAWeqCq9wdmGY06eB2+fDj6j1NHTIRnabWkpO+9dZb6NSpEwwGAwYPHoy1a9fWOf+8efMwYMAAmEwmJCYmYsaMGSgoKDjdw3TGWJQkohZPCIFtP+yCwaQP6guyoqQcQlUhKzWfyhSNDLfTA6/bG5imN+ng8/iwZ+P+Jo+biIiIiNqOPRv3w+fzQ2/UBaZ5BOAREpRalpE1MlS/igpHRWCaJEnQGzTYtuVwE0dMRG3ZZ599hjvvvBMPPvggfvnlF5x77rmYNGkS0tPTa5z/xx9/xLRp03DjjTdi586d+OKLL7B582bcdNNNYY78dyxKElGL5/X44HH5oGiD0z2/r/K2dG2D1kiSBCEA1a8GTYMEOMtcTRcwEZ02AblZXkRERPWpKHVW6wdSBSCAOnqCq8w9T85HAUCjkeFyetmvJFEL1Rpy0pdeegk33ngjbrrpJvTq1QuvvPIKUlJS8Pbbb9c4/4YNG5CWloY77rgDnTp1wqhRo/CXv/wFW7ZsaYxDdlqYhRNRi6fVaSArEsQp/UDKsoQ60zhRmSDWVLTU6bWNGiMRERERtW06g65aXimhroLkSfPJwZfeqgpotHKtN9eJqP1yOBxBL7fbXW0ej8eDrVu34sILLwyafuGFF2LdunU1rnfEiBE4duwYlixZAiEEcnJy8OWXX+Liiy9ukv0IBYuSRNTiSZKElO6JQX3xAIDOpIcE1DpoTdXI2xr9731O+rw+SAASOsc3YcRERERE1NYkdo4D8HtrHQDQSZUX1bUNoShUFRIk6AzBN8RdLg86psU2UaRE1JqlpKTAbrcHXs8++2y1efLz8+H3+xEfH3xdGx8fj+zs7BrXO2LECMybNw9XXXUVdDodEhISEBERgddff71J9iMULEoSUasweuoQAIDP4wtMs0bboDXo4D9p2u8EhKrCHmOFfNKdaUdBGSITInH2hf2bOmQiOg2qkOAP84sD3RARUSiGTByIiFgbHAVlgWmyBNgVUdmMu4YmPD6vH1qDFpaI30fr9np9kCQJo8f3DkPURHQ6mjMnzcjIQElJSeD1wAMP1BrnqU9bCyFqfQJ7165duOOOO/DII49g69atWLp0KQ4fPoy//vWvjXfgGohFSSJqFQaN64OYDlEozCkJ9L0jKzIiEyKhClGtnx6fxw9FUWCPtgSmed1euCvcGPWHoTBajGGNn4iIiIhaN7PdjBGXDYWr3AXvSTfFbYqAAsB/yvyqqkIIgYg4O2S5skgghEBBfjkSEiMwcHBa2GInotbDZrMFvfR6fbV5YmJioChKtacic3Nzqz09WeXZZ5/FyJEjce+996J///6YMGEC3nrrLcyZMwdZWVlNsi/1YVGSiFoFg0mPGx76A4wWA/KOFUJVKwuTUR1iYImwwOv2nihMCvg8PggIxHSIgu7E6Ihupwf5xwvRc2hXXPzn85txT4ioLgJSs7yIiIhCccktE9BtcGfkH8uHx+UBABhkIFojIAD4BAIDLfrcPljsZkTF2wEAqiqQl+OAxaLHDTePhU6nqWNLRNScWnpOqtPpMHjwYKxYsSJo+ooVKzBixIgal6moqAhqRQgAilI5mGxzDbrFoiQRtRr9RvbAzc9cDVuUBbnp+SjIKobP60dC92SYIszwOD2oKHVCVVVEJ0bAGmlGuaMC2UdyUZxbgn7n9sLtb9wEs91c/8aIiIiIiE5hiTDjjjdvQu9zeqAopwQ5R/NQ4XDC6vciCj4IvwqXzw+vT4Upwoz4TrHwev0oyCtFTnYJ7JEm3HLnBPTpn9Lcu0JErdzdd9+N999/H3PmzMHu3btx1113IT09PdAc+4EHHsC0adMC80+ZMgXz58/H22+/jUOHDuGnn37CHXfcgaFDhyIpKalZ9oG3ZoioVRk0tjc6zLsd6xf9jLULtqAwpwSqX4UtNhK2GDv0ehkVJRWAAIpzS6DVadB3ZE+MvWokzrqgP0fdJiIiIqIzEpUQiX98cCu2Lt+O1Z//hIO/HkV5SQUkCYgy6mFJTYBTq4OQZZSUuKAoEqJjrTj3vN4YcW53xMTZmnsXiKgNuOqqq1BQUIAnnngCWVlZ6Nu3L5YsWYLU1FQAQFZWFtLT0wPzT58+HaWlpXjjjTdwzz33ICIiAueddx6ee+655toFSKK5ntFswRwOB+x2O0pKSmCz8QeDqKXyuLw4fjAbzjI39EYdElJjYLIZkZuej+Lcyr4n7TE2JHSKq7WzXyKqWbh/C6u29+mOv8Bkrd5vTlOqKHXj6r7v8HefWhzmpEQtnxAC2YdzUZLvgCTLiIi1IT41FmWlLuRkFcPt9sFo1CK5YzSbaxOdBuakbRvPikTUaukMWnTqU73pS3xqLOJTY5shIiIiIiJqTyRJQmLneCR2Dh5YwmI1wGJNaKaoiIhaBxYliYiIqMXwQ4Y/zF1eh3t7RERERNSyMScNj/a3x0RERERERERERNSsmrUo+cMPP2DKlClISkqCJElYsGBB0PuPPfYYevbsCbPZjMjISJx//vnYuHFjvestLi7GbbfdhsTERBgMBvTq1QtLlixpor0goqaQk1WM3TuOYdf2DGQczUco3d963F4c2n4UO37ag71bDsJRUBqGSImoMQlIzfKi9ov5KBHVprzCjX0HsvHbzmPYdzAHLpe33mWEEMg6lIPdG/dj14Z9OLY/K6Q8lohaFuak4dGszbfLy8sxYMAAzJgxA3/84x+rvd+9e3e88cYb6Ny5M5xOJ15++WVceOGFOHDgAGJja+4vzuPx4IILLkBcXBy+/PJLdOjQARkZGbBarU29O0R0hvw+Fb9sPoQfvtuF3TuOw+vxQQDQaBSkdorF2Av6YMiIrjCadEHLFWQVYd2CTVjz5XoUHC+E36dCliUYrUYMmTgQo/4wDN3O6szBboiIqBrmo0R0qqMZBVi7bh/Wrt+PsjI3VCEgSxIi7CaMHtkd5w7vhqTEiKBlPG4vfl6xHWu+WIf9Ww/B6/YBENDotOjcPxVjrxqBsycMgN4Y3oEziIhashYz+rYkSfj6669x2WWX1TpP1ShIK1euxPjx42ucZ9asWXjhhRewZ88eaLXakLbtdrvhdruDtpOSktKuRjwiam7lZW68/8ZK/LzpEFS/CovNAINeC0iA1+OHo8QJAaBr93jccs9ExMXbAQA71+3Fu/d+iPzjhdDqtbBGWaBoFAhVRUWpExUOJwwWAy7+8/m47G+TIMvstYIoFM010uHHO25tlpEO/9T3Lf7uU7PmowBzUqLmJoTAiu934ZMvN6G8wg2DQQuzSQdZlqGqKsrK3HB7fLBbjZjxp5EYMawrAMBRUIpZ//gPfvthN4QQsEZZoDfoAAnwOL0oLSoDAPQc1g23vjwdkfERzbiXRK0Lc9K2rdVcnXs8Hrz77ruw2+0YMGBArfMtXLgQw4cPx2233Yb4+Hj07dsXzzzzDPx+f63LPPvss7Db7YFXSkr10XyJqOl43D6888pybF53ADabAQlJEbBYDNBoFWg0CowmHeIT7YiOMWP/niy8+uxiFBWWY++Wg3jjjtkozC5GfGosYpKjoDfqoNEq0Oq1sMfYkNApDoosY8Hr32LB69+y+QxRC6dCapYXUSiaMh8FmJMSNbfv1uzGh5+uh8/nR0K8DZERJuh0Gmg0MnQ6DaKizEiIt6Hc6ca7c3/Axi2H4Cxz4o2/zcav3+9ERKwNCWlxMNtM0Og00Gg1MNmMiE+NRWS8HbvW7cWrt76HsuLy5t5VIqoHc9LwaPFFyUWLFsFiscBgMODll1/GihUrEBMTU+v8hw4dwpdffgm/348lS5bgoYcewv/93//h6aefrnWZBx54ACUlJYFXRkZGU+wKEdVi9Yod2LblMKKizTAYdbXOp9VqEBtvw9FDuZj/3/WY+/AnKC0sQ1zHGMhKzaczSZJgi7FCb9Jj8XsrcXDbkSbaCyIiaqvCkY8CzEmJmlNufik++XITIASiosy1dvsjSRJioi1wu32Y+9+f8M27K7Fr/T5EJ0VCb6r9qSqdQYeY5Cjs33oIi99d0VS7QUTUqjRrn5KhGDduHLZt24b8/Hy89957uPLKK7Fx40bExcXVOL+qqoiLi8O7774LRVEwePBgZGZm4oUXXsAjjzxS4zJ6vR56Pfv2IGoOfp+K1ct3QpYl6A31N3HTaBSYzHr8sGAz/IezEJUQEVJfkbZoC7KP5OLHBRvRdVCnxgidiJqAKmSoIrz3TMO9PWp9wpGPAsxJiZrTTxsOoLTMhfi4+ptMSpKE6GgzcnOK8e2qX6HVa6Ez1H5jvYpWr4XBrMePX2/ClFsmwGQ1NkboRNQEmJOGR4vfY7PZjK5du+Kcc87B7NmzodFoMHv27FrnT0xMRPfu3aEoSmBar169kJ2dDY/HE46QiagBdm7PQObxQtgiQk/KrDYDig9mwlnuDikBBCqTR5PFiI2LfoajkKNyExFR6JiPErVtPp8fq9fugVarQJZDaz6pKDJ82cXIS8+HLSb0QaxsUVYU5RRjy7JtpxktEVHb0eKLkqcSQgR1AH6qkSNH4sCBA1BVNTBt3759SExMhE4XWvGCiMInO7MIfr+AXh/6QACyLMNbVgGEmDRWMVqNcJa5kJdR0NAwiYiIApiPErUtxSUVKC5xwlRHN0I1UVwe+PwqFK1S/8xVy2gVSACyDuU2MEoioranWYuSZWVl2LZtG7Zt2wYAOHz4MLZt24b09HSUl5fjX//6FzZs2ICjR4/i559/xk033YRjx47hiiuuCKxj2rRpeOCBBwL/vuWWW1BQUIC///3v2LdvHxYvXoxnnnkGt912W7h3j4hC4PH4T687X1UADVxSkiUIVcDj8p7OFokoDNRmelH7xXyUiLxeP4RQITXwhndlPgoItWEDKQoB+Dy+hm2LiMKKOWl4NGufklu2bMG4ceMC/7777rsBADfccANmzZqFPXv24D//+Q/y8/MRHR2NIUOGYO3atejTp09gmfT0dMjy77XVlJQULF++HHfddRf69++P5ORk/P3vf8d9990Xvh0jopCZTDoIISCECKlvyCqSRqnM6BrA7/VD0cgwWQ0NDZOIiNoo5qNEZDTqoCgy/P6GlQTEiYEWG5DC/r5NC/NRIqJmLUqOHTsWoo6iwvz58+tdx+rVq6tNGz58ODZs2HAmoRFRmPTokwyDUYfyMjcsIRYLPR4f9LGRkAuLGlTMLC0qQ2KnOHTonnQmIRNRE2Kn4hRuzEeJyG4zokunOPy26zgs5tAHm1LtZhjNerjK3SEPWuMqd0Oj06DnOd1ON1wiCgPmpOHR/vaYiFqU5JQo9BmQgtJSV50XhScrKa5AyoBOsEVZUF5SEdIyql+F3+vHmCtHQNGE3u8PEREREbVtkiRh3Lk9IKGyKXcoXC4vDLF2dBvUCaUNGETRUeBAau8O6Dm062lGS0TUdrAoSUTN7oKL+sNo0KG4sLzeecvLXFBVgcnXjsBZ4/uhtLAMXnfdfUQKVSA3Ix+xKdE4Z8rZjRU2ETUBFVKzvIiIqH07e1AaOqZEI7+gLGiQqpr4/CoKiyrQvVsCLr99ErQ6LUryHfVuo7SwDLIs44JpY4K6fCCiloc5aXjwTEhEza7PgI644vrhEALIy3HA56t+h9rvV1FUWI6yUjfGT+iH8ZP644bHr0LPoV2Rf7wQZUXlNXYy7q5wI+doLuwxNvz1/25AZJw9HLtERERERK2IXq/FHX85DwlxNuTklsLp9FRrxSOEQEWFG3m5DqR1jMbtfx6HIRMH4pLbJsLr8qIgsxC+Gp609Pv8KMwqgrPchUl/Ph8jLxsart0iImrRmrVPSSKiKhdOHgiTWY+v5m1AQV5lExidTgEkCV6PD36/gD3ChMl/PBtT/ng2ZFmCJcKMu9/7Kz587HNsXfkbso/mQqvTQtEqlaNsOz3QaBWk9euImU9di879U5t5L4mIiIiopeqQHIX777oI7/7nBxw4lIviEid0OgWyLEP1q/B4fDAYtDhrYCr+fMNoREdZAACX3jYR1kgLFrzxLfKPF0CSJOgMWgCA1+2FqgrYY22YfPMFmDjzvAYN7khE1JaxKElELcaocb1w9vCu2LrhINat2Yu8nBL4VYHISDOGjeqGYSO7wRZhClrGbDfjlpdnIPNgNtb9bzO2fb8D5SUV0Bt1SO2TglFTh6H3iO5QFPYjSdQqCAlChPliLdzbIyKiFispMQKP3jcFe/dnY+36/di7Pxtud2Uxsm/vZIwe0R1pHaODCouSJGH8dedi+CVnY/PSbVi/cDPyjxcCAKISI3DO5LMxdNIgWCLMzbVbRNRQzEnDgkVJImpRDAYtRo7tiZFjezZouaQuCbj87im4/O4pTRQZEREREbUHkiShZ/dE9Oye2KDlTFYjxlwxHGOuGN5EkRERtS0sShIREVGL4YcMf5i7vA739oiIiIioZWNOGh7tb4+JiIiIiIiIiIioWbEoSURERERERERERGHF5tvtjMvlxdZtR5CeURgYPa5r53gM6J8CjVJ7jTq9uBg/pqejyOkEAEQajRiSnIwjjiIcLCqE2++HSaNF75hYDEtOgUauu95d5nVjXe4hpJcXwu33waTRoV9kEgZFp0CRWCsnImqvxIlXuLdJROEjhMCejFz8sv84yl0eKIqMhEgrRvRJQ4TFWOty5U4PNu04imM5xXB7fTAZdOjZKQ5RHXw4WL4fTr8TiiQjUheFvvYBsGgsdcahChV7HRnY5TiCCr8bGklBvCEKQ6N6wqKtPQ4iImr7mJOGB4uS7YTL5cXiZdvx/Q97kF9QBqAyIQQARZGRlBCBC87rjfPH9YZyUnFyd14ePtm+HZuOH0O5xwNIElQhUO5zwy38UBQZZp0WGlmBBECRJHS0R+Cy7r1wWfdeUE4pTpZ53fjs8FYsz9yDAlcZBASEACABWklBmiUKl6UOwMTk3kEj2hERERFR67d+11Es+PE37DueD4/XB0gSJFReiH28civO7dcZl4/pj1j77wXFcqcHX6/6Fd9vOYDCknIIUZnH6hKLYarIgSHHCaNJgVGvAVCZP67MXoZ+EQMxJvY8ROgigmIQQmB9wU4szdqEo+U58Kq+E+9IkCSBLzNWY2RMX0xOHgG7lqMlExERNRUWJduBsnI3Xnt7JbbvyIBWqyAm2gyNRgm87/H4kJVTjLnzfsLho/m46YZzodEo2JCRgWfX/oCCigrY9Xp0sNngFwKHS4vgFD4IAfi9lf+bFmGGVa+H2+dDuqMEr25ej32F+fjHsFHQKpXbKnJX4PFtS7C98DgMigZxBgs08u9xuPxeHCrNx8s7V+FQaT5u6TkaMguTRETtiipkqCK8T8yHe3tE7dXXP/6Gj1ZuhcfrR4TFgBibKXAT2q+qcJS78c2GXfjtcBb+de14dIiNQHGpEy/M/Q47DmVBr9MgJtICjSJDTU6HSD0MIfnhcWngKRNQ7HokxtigQkW5rxzrC9bicPlBXNtxGuIM8QAqC5JfZfyAbzLXwSf8sGvN0Mva3+MQKkq9FViUuQG7Hen4e/c/ItYQ0VyHjIiImglz0vBof3vczvj9Kt6ZvRq//paByAgzoqMsQQVJANDpNIiNscJq0WP12r349MvN2JOfh2fX/oBipxMpNhvsBgMA4GhZMUq8bmhlBQaNBgatFj7VjyPFxXB6vdBrNEi0WGHTG7D4wD68u20LAMDj9+GZ7cuwvfA44gwWxJxSkAQAg6JFoskOk0aHr4/+iv8e2hyeg0RERERETer7bQfw0YqtkCUJSdE2mPS6oFYxiiwj0mpEQqQVR3KK8Nyn3yO/pByvzFuNHQezEBNhQbTdDI0iQ8RmQ6QeAgBIbhO0kg6yrKCgpBx5RWWQJRlWrRWRumhkO7PwacbHKPdVthRambMVCzN/glZWEG+IhEE5JQ5JRoTOgli9HQfLjuON/V/D6XOH92ARERG1EyxKtnE7dx/HL7+mI8JuhF5f94OxJpMeRqMW363ZhTkbt6KgogJJVmsgUSv1ek4UJOWgJxj1igY+vx+5ZWWBaRadDmatDgv37cExhwMb8g5jW2EGYgxm6JS647BpDdArGsw/sg2F7vIz2HsiImptVCE1y4uImo7H68On32+Dz68iymqqc17Nif4lD2UVYu7iTdi+PxPREWbotJU3s4WkQu14BJBVwKMPLKcoEmRJQn5xOXw+tXKapCBSH4VM53H8XLQFTp8bC4//BAmArZ5m2RpZQYzejv1lx7GhYNcZ7T8REbU+zEnDg0XJNu6Hn/bB6/PDaNSFNL/NakCR14UfDx+BXa8PunNc4K6AEKLGgWgUWUaJ2w2PzxeYFmEwoMzjxvJD+/HtsV1QhYBB0YYUR4TOiBKvE99n7Q9pfiIiIiJqmbbuP47MAgeirKENHqNRZGgUGas27YOqCuh1J93QjioAjE7Ara9xOb9fRUmZMzBNkRQokoIthZuwoWAXCj2lsGvrHgCnilbWQAbwfe62QF/sRERE1HhYlGzDHKVO/PJrOszm0AqSACBJEsojBEqcblj1vyd7PlVFiddd68jYGlmGX6gocbuC1qXTaLD48B78VpQJm9YQchyKJEOGjFVZe0NehoiIiIhannU7D0NVVei0oXdnb9ZpUeJwQqMJzj3V6FxAEkBN/W5Jla/iUmfQZIvGigJPPlblbAYEqnUhVBer1oT0ihwcrcgJeRkiIiIKDQe6acMcDie8Pj9MIT4lWUXoZQj1xJDYJ3hVP4QQ9Q484/OrQf/WKxoUeyqgqD5YNHU31zmVXtEg31VW/4xERNRmqJCgIrxNV8K9PaL2Jre4HBol9EIgUPnkhCpQPffUuwG19u+sLEnw+vxB0zSSBj7hg8PjgLYBBUkA0MlalHorUOIpAzgQNxFRu8GcNDz4pGRbdiYjV0sI+jpIoX45GvU7JIKajxMRERFR6yM3ajpX/8pqy1vPJAzmpERERI2PRck2zG4zQqfVwO3x1T/zSWSXClmWIPB73zmaE4PbqPX0p3NqcxiXz4covRl6RQuX2rA43KofcQZrg5YhIqLWjZ2KE7U98ZFW+Pz++mc8iYrKYma13NNlqGy+XdtyQkCrDc5HvcILjaRBrD4CXtGwONx+L7SyJuR+KImIqG1gThoeLEq2YVaLAYMHpaKiwhNy59yqKmAukWA3GuBwuwPTNbIMu9YAVYga1+VTVSiSjAjD7/1GqkLAq/pwSdfeGBTVAaUeV7XlauNXVahCxflJPUJehoiIiIhanhF90qAoMtze0G9Ql3k8iIwww3dKU2w5PxYQEiDXUFwUla+IUwbUKfeVIU4fj/EJQwAAPjX0wmSZrwKdzUnoaIoLeRkiIiIKDYuSbdyYUT2g0yqocHpCmt/hcCJSZ8S4rp3hcLuD7k5HG4yQJAn+GoqSflVFhMEA7Un9BRW5nLDq9LggrQsmdugNWZbh9IUWR6GnApE6M8YkdAtpfiIiIiJqmc7q1gEpsREoKK0I6Ua51+eHqgpMGN4TiizD6fb+/mZxFFBhBnQeAMHr8vpVaDQy7Jbfb5L7VB9UoeLsqGEYEtULsXo7irylIcXtUb0QAMbGD2TzbSIioibAomQb16tHIoYN6QyHwwWXy1vnvKVlLrg9Plx0YT/MHHo24i0WZJaWBgqTFo0OkToD/EKFX/w+oI3b74NOURBn/r33b4fbBZfPhyt79kWCxYqhMWk4J7YTCtwVcPnrjqPY44RfqLim89mw64x1zktERG1L5YNOUphfRNSUNIqM68afBYNWg3xH3YVJr8+PnOIy9EiJxbRJZ2NIn44oKqkIdEckCRlyeidAVSoHvTnxDfb5VUAIxEZaoCiVlzg+1YdiTxE6mlIxKHIwDIoOUzuMhgwZRZ66B1P0qj4UuB3obUvD0KiejXMgiIio1WBOGh4cfbuNkyQJN90wGh6vH5u3HkZpmauyr0ld5Z9eCAGX2weHwwlZljDx/L6YOuUsKIqMh8eMxZNrVuOYwwGrTge7wYCOFjtUCBS7XfAIPyQB6DUapEZGQq/RoMLrRZHLCUWScHnPPrih/yAAlc2/7+17PnyqH5vyj0AjKYjUGaFTfo+jwu9FiccJjSzjms5n4w+pA5rtuBERERFR4xnRJw2lFW68/+1GZBY4YDMbYDHoAk8g+vx+FJe74PL40KNDLP551TjYLUbcfvVoeHx+/LznGDSKDLvFCF1BLKSD3SA674cwOOFzKYCqQUykBdF2M/zCj3JfGTyqBx1MHXF1xz/BqFTe6B4d2x9lPie+zFiDbGchbFoTjIo+EIdX9cHhrYBX9aGXLRW3drsUekXXbMeNiIioLWNRsh0wGLT421/GY+X3u/Dd6t3Iyi6GX62qwQtoNQq6do7DBef1wbkjugWSsoGJiXhxwkR8sXMH1hw5gszSyqYueqGBWdbBDR8UWYZJq0WJy4lilxM6RUHvmFhM7d4bEzp3DWrqYtMZ8Oigi7Dg6HZ8e2wnMp3FqLpRLiCgl7XoH5WMSzv2x+j4rmwmQ0TUDqmQoJ7RGLmnt00ianoThvRAQpQVC9fvxK8HM5FVGNyMOsZuxtSR3XDJiD6wmyubYFtMevxz+ngs+XE3Vm7Yi+wCR+WTlvkWKNldYO6aC1NiOQxRgEbnRqGnsk90mzYCo2JGY0TMaFg0vw9SI0kSLk46B0nGaCzL2oy9pRlw+CqCRuyO1dsxOm4AJiYMhUljABERtT/MScODRcl2QqtVMOnCfrhgfB/8tiMD6RmFcHt8MBi06NYlHj27J9RYBOwUGYl/jjoXMwadhZ/S01HkdEKSgEijEcM6pOBQcSEOFhfC7fPBqNGiT2wcBsTVvC4AMChaXN15MP6QOgCb8o8ivawQHtUPk0aHfpFJ6GmPZzGSiIiIqI0a0CUJA7okIT2nCD8fOI5ylweKLCMh0ophvTrCqNdWW8ag0+IP5/XH5HN74+c9x3Aspxgerx9GvRZ9uiTAFufHgfL9cPmdkCUZUdpo9LT1hkGpvaA4KLIbBkZ0xdGKHOwsOQKn3w2NpCDBEIVBkV35dCQREVEYsCjZzmgUGYMGpGLQgNQGLRdrNuOyXr2qTU+wWDCiQ8cGx6FTNBgV3wWI79LgZYmIqO1SIUEVvCtN1NZ1jI9Ex/jIBi2j02pwTr80oF/19xKMiQ2OQZIkpJkTkGZOaPCyRETUtjEnDQ8OdENERER0Gt566y106tQJBoMBgwcPxtq1a+uc3+1248EHH0Rqair0ej26dOmCOXPmhClaIiIiIqKWhU9KEhERETXQZ599hjvvvBNvvfUWRo4ciXfeeQeTJk3Crl270LFjzS0IrrzySuTk5GD27Nno2rUrcnNz4fP5whw5EREREVHLwKJkOyBOjCYTal+NDZ0/1HWyr0giotrxPHmCkCDC3FQGp7G9l156CTfeeCNuuukmAMArr7yCZcuW4e2338azzz5bbf6lS5dizZo1OHToEKKiogAAaWlpZxQ2UWvT0PNcY58XmyLHJSJqS3iePEkryUlbOxYl26jC/FJs+GEv1q3eg+LCMgBAVIwVw8f0xPAxPRARZQmav9zpwcbfjmDVpv3IzC2Gzy9gNelxzoA0jDm7KzomNKzPH1UIbM/KxrK9+7H1eCZcPh90ioI+8XGY2KMbhqR0gEZm7wFE1H4J4YXbvR4VzkXwendCwANJMkGvGwqT8WJotQOYEIaZw+EI+rder4der682n8fjwdatW3H//fcHTb/wwguxbt26Gte9cOFCnH322Xj++efx0UcfwWw245JLLsGTTz4Jo9HYeDtB1IJ4PD5s33gQPy7fgSP7cuDz+mEw6dB/SCeMuKAvuvRKDDrPCSHwa1Y2lu87gC3Hj8Pl/T1/nNCjG4aeRv6YXVKK73cdwve7DqKovHLAxjibFef37YKxPTsjwszvHxG1b0XudBwq/RHpFVvg8ZdBkjSw65LQ1ToaHc1DoJV5nqSmw6JkG+P3q/jm801YtvAXlJU6odEo0Okq/8zph/Nw+EAOvvl8EyZOPQuTLx8CWZbx4y+H8J+Fm1BQXFm8NOi1kADkFZfhqxXbsGTtLgwfkIab/jAcJkP9IxFmOhx47vu12JWTC4/fD6NWC0WWUOb3Y/XBI1h7+Cg6RUXin2PPRY/YmKY8HERELZLH8xuKHc/A5zsMQIUkmQDIEGoRKpxfw+n6Flptf0TYH4ZGafjgDa2ZHxL8Ye7ku2p7KSkpQdMfffRRPPbYY9Xmz8/Ph9/vR3x8fND0+Ph4ZGdn17iNQ4cO4ccff4TBYMDXX3+N/Px83HrrrSgsLGS/ktQm7fk1Hf95dQWyMwogBGAw6iDJEhxF5fhu4S9Yu2wHeg5IwY3/mISIaAsyHaV4bvUPwfmjdCJ/PHwEa4+cyB/HhJY/+vwq5q7disXb9qDU5YZOUaDTKBAADuTkY292Huat24ZrzhmAqWf34U0gImp3PP4KbMz/AOnlW+BTnVBkPRRJA6H6kOPcjRznLmzTfImzo/+EVMvQ5g437JozJ21PWJRsQ4QQ+O/sNVi5aBt0Oi3iEuyQT7mbrKoqHMUV+Orj9SgrdSGuTwJmf70eXp8fMZEWaBS52jrLKjxYtXEfSkqduHf6eBj02lpjOF7iwP1LluNocTGizSYYNZrgJM8EuH0+HMgvwL++XYGnJp6PXnGxjXociIhaMo9nGwqLH4Cq5kOR4yFJwU/iCSEgRAU87k0oLLoLUZEvt7vCZHPJyMiAzWYL/LumpyRPdmoRo66mpqqqQpIkzJs3D3a7HUBlE/DLL78cb775Jp+WpDZl589H8PbT36CsuAJRcTZodcGXHEIIuCo8+HXjQbz04Je49oGJeHrDjzhaVIxoUw35I6ryx0L8a+kKPHnhePSOj6t1+35VxSvLfsTy3/bDqNMiKdIG+ZT1+VUVReVOvLd6E8pcblw/6iwWJomo3fCoTqzOeRmZFb/BoNhg1EZUOwf6hQ/lvgL8lDsLfuFBZ+uoZoqW2jK2n21D1q7che8W/wqT2YCIKHO1giQAyLKMiCgLTGYdvln8C96ctwY+v4rYGgqSQOUFl9WsR3SEGVt3Z+DjxVtq3b5fVfHs92twtLgYSTYrTFptjcmdXqNBkt2G/PIKPP3dapS63We240RErYSqFqO45HGoagEUOaVaQRKoPO/KshmKkgyf9wCKS54I9O9DTctmswW9aitKxsTEQFGUak9F5ubmVnt6skpiYiKSk5MDBUkA6NWrF4QQOHbsWOPtBFEzK8ovxewXvkW5w4m45MhqBUmg8jxnNOsRmxCBw/ty8PePF+BoYTGSrPXkjzYr8ssr8MyqNXXmjwt/3o0VOw7AZjQg0mysVpAEAEWWEWM1Q6/R4LONv2Hd/vQz23Eiolbk54JPkFWxA2ZNDPSKpcbzriJpYNHEwS+82JT/HxS5eZ6kxseiZBuhqipWLt4GCMBiNdQ7v8VqRImioqikAjER5nrvDOt1Gpj0Ovyw9SCKHBU1zvPz8Uzszs1HrNkEpZ7+fmRJQoLNgmMlDvxw6Ei98RIRtQVO10r4/MehyEn1nnclSQNZjoXXux0e77bwBNgCiBOdiof71RA6nQ6DBw/GihUrgqavWLECI0aMqHGZkSNHIjMzE2VlZYFp+/btgyzL6NChQ8MPFFELtWHVbhTkOhCTYK/3PKfRKlBTjMj0VsCm0YaWP1otyHDUnj96fH5888tuyJIESwjdDkWYjfD6/Vj48y7eACKidqHcV4AjZeuhU0zQyHWfJyVJglkTA5e/FAdKV4clvpaiNeSkbQGLkm3E7u3HcOxoPmwRppDm9woVLr0M1avCWeEJaRmbRQ9HuRM//XKoxveX7T0An98Pg7b25t0n08gyJEhYvGcfk0AiavOE8KPCuRCADElSQlpGkowQwgOnc3HTBkcNdvfdd+P999/HnDlzsHv3btx1111IT0/HX//6VwDAAw88gGnTpgXmv/baaxEdHY0ZM2Zg165d+OGHH3Dvvfdi5syZbLpNbYbP68cPS7dDo1VqbLFTk4J4CSoAV0loLWc0sgwZEhbv2Vtj/rj50DEcL3Ig0lz/TfoqNqMBuzJzcSCnIORliIhaq8Nl6+H2l0EvW0OaX5Ik6GQTDpeth8tf2sTRUXvDomQbsX93JnxeFXpDaAXBMtUPvwTIKlBRHloSKMsyJEnCbweyqr2nCoEtx47DpKv/jvTJbAYdDhcWIa+8vEHLERG1Nn5/Jny+o5Ale/0znyBJEiSY4Havb8LIWhYVUrO8Guqqq67CK6+8gieeeAIDBw7EDz/8gCVLliA1NRUAkJWVhfT035s5WSwWrFixAsXFxTj77LNx3XXXYcqUKXjttdca7dgRNbesjALkZztgsYVWaBcQyDerUFSgvNQV8nZseh0OFxUjt6x6/rjreA5UVYVOE3rX+Wa9Fm6vDzuP54S8DBFRa5VV8RskSYYkhV4O0isWuPwO5LsONmFkLUtryUlbOw5000a4nB405PPrFwKAgCQBqhr6U4qKLKOshiKmy+uDT6hQ5IZ9iRRZhur1ocLjbdByREStjRAVAPyQpIb99EqSBgJuCOGFJIV244nC49Zbb8Wtt95a43tz586tNq1nz57VmnwTtSXOCg9UVYVSQz/lNfFLgAAgQ4Lfr4a8HUWW4ff5UOGtnj9WeLxoaPubyhtAYD5KRO2CRy2HjNBa7VSRoEAVKnwi9BtIRKHgk5JthFanaVBNvbLDb6kyEWzASINCCBhreBpTp1EgQ2pwM2z1xEil+gbczSYiao0qB7WRIRD6hTeAE/NrwPuIRNTS6XSVo2aHmg8qJ2YTAOQG3NhWhYBcS/6o0yin9ZyJAGBgPkpE7YBGMpxGPlp53a5IDWsZSVQfFiXbiOSO0QAq+/IJhVGSIQtABUJu8i2EgN+volOH6GrvaWQZXWOiUd7AO8xlbg9izCZEm0PrC5OIqLVSlATIchSE2rC+eIQoh1bbq94BI9oKAalZXkR05uKSI2G2GlBeFlrXQBIk2NwyfLKAwRT6hW6ZpzJ/jKkhf0yNiQQkCT419Atul9cHRZaRGhMR8jJERK1VjL4z/MLfoAeKPGo5tJIREbrkJoysZWFOGh4sSrYRg4Z2Rky8DY6SmkfGPpVRVqD3CkgaCRZbaB2Blzs9MBp0GH1Wlxrfn9SzOwDA6w+tMKoKAa/fj0k9u0OnNOzxcSKi1kaSDDAZLz7RFDu0JFAIDwAZJuPkpg2OiKgRmMx6jDi/D9xOT8jnufh8ABJgCXGwxqr8cWKPmvPHc3ukIcpsRElF6E0Mi8udSI2OwICOSSEvQ0TUWnWyjoRWNsCrhlY7AACPvwwdTANh1cY3YWTUHrEo2UboDVqMPr8PvB4/PO76n1Z0u72wuAXMZj3KKuq/m+33qygpc2FA9ySkJETWOM+otI5IslmRW1YeUiKaV1YOu9GA8V1rLnISEbU1RsNEyJIdqppb77xCCPjVHGiUFBj0o8IQXcugCqlZXkTUOEac3xsmsx7FBWX1ziuEgOZwBezQogy+0PLH8nLYDQaM79q5xvetBj3G9+kCp8cLj6/+G+VOjxdCCEwa0AOaEPvCJCJqzSJ1HZFg6AWnvwSqqP886fKXQpF16GIbHYboWg7mpOHBX942ZMKlZ6HvoI4ozC+rHPimFi6nB0X5ZRjWPw2XnT8A5U4PHGWuWhNBr8+PnMJSpCREYOZl59S6XqNWi3+MHgWrXo8sR2mtA+gIIZBTWgZFlnHb8GFIsFoatqNERK2URpMCm/V2QJLg9+fUet4Vwg+/ehyyHAG7/cET/VESEbV8KZ3jMHX6KKh+gaL80lrPc36/itzMYkRHWvDghWNhNeiRVVpP/lhWBkWScduIYUi0WmuN4ZrhA9GvQwJyHWVweX21zlfu9qCgrAIju6dh0oAeDdtRIqJWSpIkDImdBrs2EaXeXPhFzedJIQRcfge8agV62SYgydg/zJFSe8DenNsQg1GHW/95Ed5/ZTl+3XoEJUUVMFv00Okr/8xutw8VZW4oGhlnj+iKm+64EHqTDnq9Bt/+uBtZeQ6YDDoYDVpIEuD1qSgtdwMQ6NwhBvdMG4e46NoTQAA4q0MSHj5/LJ5f/SMyHaXQKDJsej0UWYIqBErdHrh9PtgNBtw2Yhgm9OgWhiNDRNRyGI2XAgAcpa/Dr2ZAgh6SbIMEGUL4oIoSAD4oSiIibA9DrxvYrPGGW3PcJW6Pd6WJmtIFUwdDkiXM/+BH5Bwrgt6ohcmshyTL8Pv9KHM44fepiEuKxM33X4xufZIR1yESz635EZmlpdDIEmx6Q3D+6K/MH28dPhQTutedP1oNejwydTz+/c1qbEvPgioEbAY9dBoFAoDb60OZyw2tRsH5fbrijgkjodOwKyEiaj9s2gSMS7wHa3PeQKEnHRIk6GUrZEkDQMCrOuFVndDIBvSNuAQDoy5vN/2bV2FOGh4sSrYxFqsRf3tgMn77+SjWfrcLO7alo6y0sk8drVaDoaO649zze6PvwI5QTiRf06YMxTn9O2HNlv34adthlFW4IQSgKDJ6d47H+HN64Jx+aTWOul2ToSkd8M4fLsHKAwexZM8+ZJeWwa+qkCUJ0SYTJvXohvO7dUGy3dZkx4GIqKWSJAkm02XQ6QbB6VqGCudiqGrhiVEQFWg1nWA0XgKj4QIoSvWBxYiIWjpJknDBZYPRe2Aq1n+3Cz+t3ImyEieEEJAVGSmdYjF6Un8MHdMT1hN9SQ5J6YB3pl6C7w4ewuI9e5HtKINfnMgfzUZM6tEd53cNPX+MNBvx5OUXYvOhY1j22z5sT8+Cw1n5NJBOo+D8vl1xQd9uGNgxqUEjfxMRtRURug6YkPwo0ss2YX/pahS5j1T2MylJ0EpGdLWPQWfrKETrO7e7giSFjyQaMuRSO+FwOGC321FSUgKbrXUXzgrzS+EocQIA7BEmREbX3VS6tNyFgpIK+Px+mI16JERbz+gE5PX7cdxRCpfXC4NGgwSrFQYta+FERFVUtQJ+fxYE3JAlExSlAySp+c+T4f4trNreI5seh8ES2gBsjcVV5sITQx9tE7/71La0lZzUVeFBfk4JvB4fDCY94pIioNTRf6NPVXGsxNGo+WOuowwlFS5IkoQosxFRltAG1iEiag+EECj15cDjr4AiaWDSREGvtIxu1piTtm3Nf9VDTSoqxoqomLqbXJ/MajbAam68L55WUZAWGdFo6yMiamtk2QRZ5oBfVYSQIMLcdCXc2yNqbwwmHTp0ig15fo0sN3r+GGezIM7WMi6wiYhaGkmSYNMmAKE1jmwXmJOGBwe6ISIiIiIiIiIiorDik5JERETUYqiQoCLMnYqHeXtERERE1LIxJw0PFiWpyflVFfuP56Ok3FXZWbnNhE4JUewsl5pVaVE50vdmwe30QGfUIqVbAuz1jC5PRERErVdWoQOZhQ54/X6Y9Dp0S4qBUce2itR8/D4Vhw7koKzUCVmWERltQUpqNK+TiKjdYFGSmkxphQtrth/C8q37kJFXDK/PDwDQaRV0S47FhYO7Y1TfTtBz4BsKoyO7juPHb7Zi49JfUVbihKqqkGUZJpsRQ87vi3MvHYwu/To2d5hERETUCIQQ2HzgGFZs24efDx6H0+OFEIAiy4ixmXDBgG4YP6AbEiJ5Y5LCx1HixPq1e7Fm5U5kZRbB51UhSYBOp0GX7gkYc34fnH1OF+h0vE4ioraNZzlqEsfyivH856txMLMAiiwhwmKATqOBgIDb48OuI9nYdSQbq389iHsuH4MIi7G5Q6Z2YNUXG/D5q0tR4XDCaDEgMt4OWZGg+gXKHRVY9fkGrF+yDX+49QJceN1I3qUmagbixCvc2ySitsfr8+OdZRuw/Jd98Pr8sBj1iLNbIEkSfH4VRWVOfLT6Zyz9ZS/uumQ0zuqS3NwhUztwLL0Ab/7fUhw7mg9FI8NmM0KrUyAE4HZ7sXvHMezecQwDB6fh5jsuhMUa3tF/iagSc9Lw4EA31OjySsrwzCff4UBmPuIjzUiIssKg00KWJSiyDJNBh8RoG6JsJmzdfwzPf/Y9Klye5g6b2ri1/9uKT15cDJ/Xj/jUGNhjrNBoFciyDI1WgT3aivjUGKhC4PNXl2LVFxubO2QiIiI6TUIIvLd8IxZv2QODToukaDtsJgMUWYYsSdBpFMTYzEiMsqGgtALPz1+NnenZzR02tXG5OSV47bnFyDiaj9g4G2LjbNAbtJBlGYoiw2TSIz7BjogIE37edBhvv7IMbpe3ucMmImoyLEpSo/v0+204kl2EhEgrNIpS63x6rQaxdjO2H8rCks17whghtTfF+aX4/JVvoaoqouLttT4BKUkSImNtkGQJX725HHnHC8McKRGpQm6WFxG1LT8fPI6lP++F1aiH1aivdT5ZkpAQYUVxhQuzlm6AX1XDGCW1N/M/2YDjxwoRF2+Doqn9t0dv0CIqxozffjmKNd/tCmOERFSFOWl4tL89piZV6KjATzuPwGLUQaPU//HSazXQaGSs2Lov0OckUWPbtGw7SgrLEBlnD2n+iFgryorLsXHZ9iaOjIiIiJrCil/3w+tX6yxIVpEkCdEWE47kFuHXw5lhiI7ao7xcB37ZfBhWqwFKKNdJei1kScKalTvg97FYTkRtE4uS1KjW7jiM0go3bKbQ+z6JMBuQVeDAz/uPNWFk1F4JIbBmwWYoGhlyCAkgAMiyDK1Oi7ULtsDPYjlReAkJIswvCPYfS9SW5BSXYvP+Y7AYdCEvY9Bp4PP7sWr7wSaMjNqzjT/uQ3m5G2ZL6NdJtggjjmcUYfcOXicRhR1z0rBgUZIaVVahAwAgy6F/mXRaDVQhkFVY2lRhUTvmLHOjMLsExgYkgABgtOhRUlCG0uKKJoqMiIiImkJWUSlcXi9M+tCLkgCg1WhwJJddt1DTyM4sBtCw6yS9XgvVryInu6SJoiIial4sSlKj8vn8EKc5ZhSbb1NT8Hl9EEI0eCRtSZKgCgGvm52LExERtSZenx9CFWjgTz9kAB7mo9REPB5fgz+TAACp8hqLiKgt0jR3ANS2mI06NPS3VggBiMpliRqbwayHosjweRuWzPm8fiiKDLPN1ESREVFN1BOvcG+TiNoOi6Gyb3OfX4Uih/4MhtevNqgLIqKGsNqMUNWGPbyhqgJCCJhM9feNSkSNizlpeLAo2cq4XF5s+y0DBUVlUFUBi1mPgf1SEBlhbu7QAAD9OydhwU874fL4YNCF9vEqdbphNGjRv1NiE0dH7ZFOr0X/UT3w06JfYI+21Dmvz+dHWYkTznI3yorLEdshGmu/2Yr+I3sgMTWmQdt1OJz4dXsGHKVOAEBkhBkDB6QwqaQzJnwHAe9OQFQAkg5Q0gDtQEgSGz8QUXgIIbDneB4OZObD5fXBoNWga1IMeibHNrhlQlPokhiNuAgLcorLEGev+7e/iioE/KqKYd07NnF01F716tcBK7/9FR6PD7o6rpOEECir8KCi1ImyogpIqsDBHccQaTWg16COUDRKyNv0+VX8diATx3NK4PH5YTZo0adLIjrERzTCHlF7JlQHVM8GQC2qnCBHQ9YNgyRbmzcwanVYlGwlShxOrFi1E2t+2oe8/Mq+FwUACAGLxYBhZ3fGhPF9kJoS3axxDuichI5xETiaU4SEqPpPSEIIlFa4MapvJ3SIjWj6AKldGjnlLGxcth2uCjcMNRQFPS4vCvMcKC4og8/rhzhxE/v4oVy8cf9nsNiNGDy2Ny6aNgq9h3Spc1tZWcVYvnIn1m04AIfDiapHhyUAkZFmjBrRDRee3xfR9RRIiU4l3OshnAsB76+VBcmqHlgkDaDpBBguBgyTIEnaZo3zTAU6+g7zNomofkIIrN5xCN9u3YO9x/Pg8fkhoTIn1WkU9EiOxaTBPTG2b+dmLU7qNBpcOLA75qzcDFUVIfXh56hwwWo0YGzfzmGIkNqjAWelIT4xArnZJYiNs1V7X1UFihwVyM8ugbfYCbh9EKoKSZLw5Xur8c2HPyGlSywuvuocjJk8oM7Cpsfrw/L1e7Fy415k5BTD71chSYAQgFGvxYDuyZg0qhcGdE9uyl2mNkj4jsPvnA/VvRJCLQJOaicpyVGQ9RdAMU2FpLT+B46Yk4YHi5KtQHZOCV55eyUOHcmDTqcgKtoM7Yk7ZKqqorTMjRXf78LWX47grzeOxaD+zXeHV6PIuHREH7y+4CeUlLtgN9feBEYIgQJHBUwGHS4e1juMUVJ702tIF3QflIadGw8gNjkKGu3vd5grylzIPJoPl9MDoSLQ14+ikaE36uDz+lBaVIEfFm7Frs2HcO3dk3D+lefUuJ29+7LwxlvfITe/FCajDrGxVignRvz2+VQ4Sp1Y8M0v2LL1CP5++wXo2LF5byJQ6yCEACrmQVR8DAg3INsBOer3D6twAr6DEGWvAt5tgPVeSJKxWWMmorbH51fx7rIN+HbrXviFCrvJgGirCZIkQQgBp8eLHenZ2J2Riz3HcvHnC4dBozTfE9zn9e+KJVv3ILu4FImR1jqLpC6PF+UuDy4d1gexIT5ZSdRQWq2CCZMH4cP3VqOs1AWL9ffrJL9fRUZWMcrySgGHs7INpyxB0sjQnxhF3u3148CuTLz/wmLs2noEf35gMkyW6jfby5xuvDJvDbbuSocsS7BbjNCfKGAKIVDm9GDDb0ewbd9xXH/x2bj43D5h2X9q/VTvTvhKnoDwHwdkMyAnQpIqr6uE8EGoxfBX/Beq50dobI9C1vZo5oipNWBbrxbOUerEq7NW4uDhPMTGWBAdZQkUJAFAlmXYbUYkJthQ4nDirfe/x74D2c0YMTB+UDf8YVRfOD1e5BWXweev3jOCx+tHdlEZZEnCTROHoX/n1n8nhVouRZFx81NXIq1XMvKOF6K8pAJCCLidnhMFSS+EOKkgqVQmgJIkQavTQm/UQgiBwpxifPLyt1j37bZq28g4VojX31qJvPxSJMTbERFhChQkAUCjkREVaUZ8nA3HM4vw6hsrAk89E9XJtQCi4j+ApACaDoBsRVBP+ZIRUBIBKQJwrYIofRVCtMceaYioKX20eisWbdkNo16LxEgbTHpdoNAnSRJMeh0SI20w6rX4ZtMufLz652aNN8Zmxj8uG4NIixGZhQ443d7KmzwnUVWB4nInCkorMLxnKmaeP6SZoqX24rwJfXHBRf1RXu5GYUEZ/D4VQggczylBaX4Z4HABkACl8qXTa6Eo8oncVAtFr0GFy4t1q3ZizgtL4D9lAByfX8Ubn67F5h1HEWEzIi7KGihIApXfVatJj4QYK4QQ+M83m/D95v1hPgrUGglfOnwlj0P4MwGlAyQ5OlCQBABJ0kBSYgAlGcKfAZ/j8criJVE9WJRs4b5bswcHD+chLtYCTR39h0iShLg4K0pKKvD511uqJV3hJEkSpl1wNm6aNAw2sxG5xWXILHAgr6QcecVlOF7gQEFpBZKibLjzj6MxYQjvoFDTi4q34543pmPYhf3h8/qRczQfxw7lwe30QKiVgy1BkqBoFOhNOkgnNfWSpMqkUPULlBaV4+tZq+Cq8AStf8HCn5GXV4r4eHudzcQURUZcnA3HMguxbPlvTbW71EYItRii/CMAcuXTkXWRTYAcCbhXVT4x2UqpkJrlRUS1O5pbhG827YZRp4XVWHffyFajvrIwuXkXMvKLwxNgLfqmJuCxqy9A75R4lLk9yCx0ILekDPmOcmQVlSKrqBSKLOOyc/ri/j+Og17LRmTUtCRJwrUzRuPqaaNgthiQl+fA0YxCFJdUVD4hKUTlE5KKDL1eW+36T6NRIMkS3F4/tv64D9s3Hgp6f8vOdGzacRSRdhMMutq7c5EkCVF2E/yqik+WboXL7W2S/aW2w1cx70RBMrnOfswlSQHkpMoiZvnnYYyw8TEnDQ/+8rZgHq8Pq9fugVar1FmQrCJJEux2E/YdyMbho/nonBYbhihrj+WS4X1w/qBuWL/rKH7ceRgFjnIosoy4SCvG9O+Ms7t1gI7JH4VRRKwNt794HY4fzMGKT9bjm7k/ALIMSQhodQoUrQK5llE6JUmCrMjwenzIPV6IbWv34JwJ/QEAObkO/LItHVarMaR+qxRFhtGgw4/r9uOyS86CxcKRPqkW7tWVHYiH2i+PbAF8xRCuZZB0ZzVpaETUfnz/20FUuD1IiqreD15N7CYDMgsd+P63g5g2bnATR1e37smx+L+Zk7EjPQffbz+AI7lFcHl9sJsMGNKtA8b06YxoW8sYMJLaB1mWcNFlZ2HMBX2wZf0BzJmzBmVF5YAQkHUKtFpNUGubU2k0CrxeP5wVHqxd+hsGjewWeG/lpn1QVQGjPrT+pSNtJuQVlWHjjqMYM7jrGe8btU3Cnwvh/hGQrSENrChJCoRsgXCvglCnQ5IjwxAltVasCLVgv+08jtw8ByIjQ0+UjEYtSkoqsGHzoWYtSlYxGXQYf1Y3jD+rW/0zE4VJcpd4xKXGwGjRV3b8rUNIIxkqmsqipNvlxfqlvwaKkpu3HEKF042EeHvIMdhsRuTllWLrL0cx5lw+LUw1E67llc22pdBH2oRsATzrIdRCSPU9XdkCsVNxopbF6/dj1fYD0Gs1IQ9eI0kS9FoNvvv1AK4dPahZ+5asiqdfagL6pSY0axxEJzOb9ejRJxkanQZmSYJHo0B7ov/IulR9D/1CYNfPR5CXVYzYxAhk5Tuw80AWrOa6n2Y+WVW3YGu2HmBRkmqlun+AUB2A0oCBkSQ7hJoF1f0jFOOUpguuCTEnDQ82327BCovKoQoBrTb0i1FJkiDJEvILy5owMqLWrzjPAdWvQqii1qcjTyVJEiQAsgTkHisMTC8sLAcEQr5YAyqflpQkoKiovKGhUzshhAD82YAU+sUFAEAyVA6IoxbWPy8RUT3KnB6Uuz0w1DHSb00MWg3KXB6UudxNFBlR61dUVA6P1w+/1w8pxHwUqHza0i8EvB4fiv6fvfuOj6O8Fj7+m9ne1WXJluUi915xxd2Y3gKEHkoSIAktQMIlhJZcuJCASQghJibAm4SQBEII1cZg40Zx702WLVmWrN63z7x/yFYsZEmrtaSV5PP9fObeaHb2ec4YW3v2zFNK6r/3lVbUEgiFG60hGQmzycixUlnnXDRP10oAJaJRkifUrzepoGvFHRaX6BlkpGQXVr8uZHSVck2TTQ6EaImunbTuahv+menHD+2k90e7hus32xGiqWg+B5T69+nhVq/sijS9/ujsPoUQp6Yd/4xT2vq7SAHQCcs/MCGapWl6/TqS0eSSx9924nufruvouh7Vt0fJR0XLtCjLEjp0480XJSftHDJSsgtzu+rXmTvV7tUt0TWdeI+sjSNES5xxdhRVRVG/UaBsUf11uq4Tn+xqOOty2UBpW3HyRBLqcsl6kuLUFEWp37hGD7R+8cl0PygmUCNfTkAIIZrjspkxGw0EQm170BEIhTEbDbhsrU9HFeJM5XJZMRoNqCZDG/LR+ocFqqpgNBlweewAuJ1WTFH+W0043oYQp6IocXC86B0pXdcAHUXyUdEKGSnZhY0c3od4j53qah/xcZF9UPh8QUwmIxPGZkZ0vbcuwNdfHeRQThF+fwiLxUj/ASlMnDwAmySRogcbO2MI7736OX5vgIA/iDmC9a7CIQ1VVTCZTUyeP7Lh/LixfXn3vc3UeQM47JFNta2p8eFwWBg3tm/U9yB6PsUyF732j/VPmSOdMqNVgXkKikHWThNCnD6z0ci0of14f8Nu4hzWiJYq0XUdrz/I/DGDMBtb/7qh6zq79xawdVse1dVejEaVhAQnUyYNpFcv+UIreq6Mvon07ZfEzoIK9Bp//UjHVv6N6boOOhgUhX6De5GemQhA317x9O+dyN5Dx7BHsDYlQFjT0DSd6WMHnPa9iJ5LsUxFqXsNXa8GJbINz9CrURQnqnlaxwYnuj0pSnZhToeFGVOz+PcHW/G49VZ39dV1ncpKL/0ykxg+NL3Fa/3+IP95ZxOrVu6mvKzm+JD9+il/qqrwj785mTVnOBdePB6zRf6aiJ6n75A0Bo/NZMOnO8FfP1pSaeXfWDikYbWbiU92MWnef4uS/TKTGDK4F1u35WG3mSNKJmtq/MyZNZSkRFeL14oznHUeeP8GeiUoEexcqPtAUVFsizo+tg5Sv0RCJy8q3qm9CdH9zBuTxSdb91PrD+KMoNhR6w9gMRmZO7r1jTO+3pjDu+9t5lBuCcFA4xFe7763mdGjMvjWpRPp07v7bdwlRGsURWHOnGHs25lPsKyOcCCMsZXvXuFw/UNyi8XIrPPGNOSdiqKw4Kwh7Mk5RjAUbtjEpiWV1T7inFamj+nfLvcjeibV2B/FNB49sBpdd0VWONcqUawLUIxt2Byni5GctHPI9O0ubv7s4aQmuygqqmpxrQ9d1ymvqMNsNnDpBeNaLGDW1fl5/tcf8a+3vqa2xkdikou09HjS0uNIS48nMclFdbWPt//5Fb957iO8dW2cOihEN6AoCuffOJO4JBeqWr+rdktTEoL+IIpBwWIzs+DbU3HFOxq1ddEF43A4LJSU1rTYjq7rFBVVER9v55yFI5u9TggAxZAG1gtAq60/WqIHIVwMpjFgnto5AQohzgjD+qQwdUgmlbVe/MFQi9f6AiEqa31MHZrJ0N7JLV774cfbeOH3KziQXYTTbqVXqoe0XnGk9YqjV6oHVVVZ/0U2Tz3zPvv2F7bnLQnRZZx1VhaDhqWjui1omkY42Pz063BYIxzWMKsKg0b0ZsLZgxu9PnVMPwZnplBUVtPqEmA1dX4CwRAXnD0Cj8vWLvciei6D/WoUxQNaYavfddAKUNR4DPYrOzFC0V1JUbKL65Xq4Yffm0tigpPCY5VU1/ga/RLQdR2vL8ixY1UowDVXTOGsic0Pv9d1nVdeXsmWzYeIT3AQn+DE+I2naEajgYREJ/EJDjZvzOFPf1wZ9UYeQnRlwycN5MYHLyK5dxyKAgFfkFAw3Ojvezis4fcG0HUdp9vOwquncv6NM5u0NWJ4b266YQZmk5HCwkrq6gJN/q3W1vopKKzE5bJy23fn0L9fy1/WhABQHLeAdSFoFRA+1nSNST1cv9N2uBBMI1BcD6Eo3Xf5DU1XYnIIIZqnKAo/umA6kwZlUFpdR2lVbZOCRyisUVpVS2l1LZMHZXDnBdNbHE3z5dfZ/O0fX6JQn+9araZG1yuKgstZX6gsKa3hdy+t4FhRVUfdohAxY7Ob+cGPFjBk0gAMbiuhQIigL9Bo41JN1wkEQgT9QSwGlaFj+nLbwxdh/cZyW3armR9fP4eBfZIoKq2motrbZAPUQDBEUVkNtd4Ai6YN47J5YzrlPkX3pppHY3D9GEWxQTgPXatp8l1H16ohnIeiODG6H0A1DYthxKdPctLOIfNyu4Ghg9P4yT3n8va7G9m64wiFx6rQdVCU+inXZpOBQQNTufj8sUwa3/LQ+/37Ctn49UE8HjsWi6nFay0WEy6Pna+/OsjCA8fIGiTrk4meZ9q5Y3EnOHn7pU/Y8cUBvDV+goEQJwbPK4qC2Wqi7+A0Lrp5FnMun9zsl6wZ0wfj8dj517ubyM4+RmVlXaPXrVYTE8ZlcunFExiUldrRtyZ6CEUxget+MA5E974LWsHxnbWP77KNAmoc2M5DcVyPoka41o8QQrSBw2rmoSvm8fc1W1m+dR9FlY2/kCqKQpLbwWVjB3Hl9DFYzc1/zQiHNf71700Eg2FSU1peM1JVFVJT3BwrquLTlbu4+sop7XZPQnQVqakefvLghbz1j6/47D+bqcqvIFAXaNiUWwEMRpXEJBdzLxjLJd+ZQVyC89RtJbp4+Lvn8OayzazbcpBj35jFYzCopCd7OG/GcBZNG9bqEmFCnGCwzkVR4wnXvo4e3IGulTWa3qyoNhTLWRjsN6KaR8cwUtGdSFGym8jMSOSeHyzkaEEFX244SElZDeGwhttlY9zovgwd3CuihcfXfL4Xvz9EfDMfYt9kt5upqqxj7eq9UpQUPdbIs7IYMXkgObvyWffhFvZtPkxttRejyUj/YemctXA0o6YOwmhqfW2eUSP7MHJEb7IPFrNp8yEqK70oCsTF2Zk8cQB9+yZ2wh2JnkZRjGC/EmyXQGAdBHega7WgWFGM/cAyC0WNi3GUQoiezmo2csPcCVw+bRTr9hwiu6CUukAQu9lEVloS04ZlYre0PlJ75658juSXExfhjr+qqmKxmFi9dh8XXzAOe4SbygnRncTHO7j1e3O4/IrJrFuzl21fHaQ4rxx0ndRecYyZ2I8p84Y3W4w8WYLHzu1XTOeqheNYtzWH/OIKAsEwDquZEQPTGD+sT0RrTgrxTap5HIppLHpoL5p/DbpWDoCiJqBazkYxZkVUlxDiBClKdjPpaXFceuH4qN4b8If4+stsbHZLxL8oFEXBZjPz5RfZXHP9DEwRFGWE6I4URWHAiD4MGNGnXdrKGphC1sCUdohMiP9SFDNYZoNldicvu915dJQYLCreU/80hegYDquZBWMHs2BsdO/ftOUwoVC41Vk7J3O7bJSUVbNjZz6TJ8lOwaLnio93cP6F4zk/yu98J0vw2Lng7BHtEJUQ/6UoCoppKKppaKxD6VCSk3YOWVPyDFJb6yMYDGM2t62waDIbCfhD1Nb6OigyIYQQQghxpiivqG3zlFGjUQUdKqu9HRSVEEIIITqbjJQ8gyjHk78271mj6yhK/dQZIYQQoiNpev3R2X0KITqPQVXbno82vPfMG0UihBCi80lO2jmkynQGcTqt2O1m/L5gm97n94ewOyw4ZP0eIYQQQghxmpKSXGi63mjzjdYEgiFUVSEhPrJ10YUQQgjR9UlR8gxiNBqYNmMwAX8w4iRQ13X8/hAzZg7BYJS/LkIIITqWrisxOYQQnWfyxP5YLUa8bXhQXlXlJSXFzfBh6R0YmRBCCFFPctLOIVWmM8yMs4dgs1uoropsPZ6qKi92u5lpMwZ3cGRCCCGEEOJMMHBAClkDUqmsrIvoQXkoFCYYCjN75lDMZll9SgghhOgppCh5humTkcj8hSPxegPU1rS8cU1NjQ+fN8DCRaPo3SehkyIUQgghhBA9maIoXPmtSbhdVoqKq1osTIZCYYqKqxjYP4W5s4d1YpRCCCGE6GjyqPEMdMVVU/B5g3y6Yic1NX7cHhtWqwlFUdB1HZ83SFWVF1VVWHDOKC6/4qxYhyyEEOIMEYupK2fiVBkhYm3I4DS+/905LFm6ksJjldjtFlxOa8Ou3MFQmKoqL4FAiIEDU7jzBwtwuawxjloIIcSZQnLSziFFyTOQwahy4y1nM2hIL1Ys30HOwWIqK+oaipJms5GhQ9OYM38E02YMRlHOvH8YQgghhBCiY00Y14+f3nc+y1fs5KsNORQVV4ECJzLPpCQXZ88YwoJ5I/C4bTGNVQghhBDtT4qSZyhFUZg+cwjTZgzmwL5CcnKKCfhDmC1G+g9IIWtQqhQjhRBCdDodBZ1Ofirdyf0JIf6rf79kvnfLbL516US27ThCdY0Pg0ElMcHBmFF9sVpNsQ5RCCHEGUhy0s4hRckznKIoDBqSxqAhabEORQghhBBCnKESEpzMPntorMMQQgghRCeSjW6EEEIIIYQQQgghhBCdSkZKCiGEEKLL0AEtBn0KIYQQQghxguSknUNGSgohhBBCCCGEEEIIITqVjJQUQgghRJeh6wq63smLindyf0IIIYQQomuTnLRzyEhJIYQQQgghhBBCCCFEp5KRkkIIIYToMuSptBBCCCGEiDXJSTuHjJQUQgghhBBCCCGEEEJ0KilKCiGEEEIIIYQQQgghOpVM3xZCCCFElyFTZYQQQgghRKxJTto5ZKSkEEIIIYQQQgghhBCiU8lISSGEEEJ0Gfrxo7P7FEIIIYQQ4gTJSTuHjJQUQgghhBBCCCGEEEJ0KilKCiGEEEIIIYQQQgghOpVM3xZCCCFEl6EDeifPXTkTp8oIIYQQQojmSU7aOWSkpBBCCCGEEEIIIYQQolPJSEkhhBBCdBkaChpKp/cphBBCCCHECZKTdg4ZKSmEEEIIIYQQQgghhOhUMlJSCCGEEF2HrtQfnd2nEEIIIYQQJ0hO2ilkpKQQQgghhBBCCCGEEKJTSVFSCCGEEEIIIYQQQgjRqWT6thBCCCG6DE1X0Dp56kpn9yeEEEIIIbo2yUk7R0xHSn7++edceOGFpKenoygK77zzTqPXH330UYYOHYrD4SA+Pp758+fz5Zdfttjmq6++iqIoTQ6fz9eBdyKEEEIIIbojyUeFEEIIIWIjpkXJ2tpaxowZwwsvvHDK1wcPHswLL7zA9u3bWbNmDf369WPhwoUUFxe32K7b7aagoKDRYbVaO+IWhBCC0tIaNmzIYc2avbz3/maWfbKDNev3s3lbLnV1/liHJ0S3osfoEGcuyUeFED1BIBBix8ZDfPHpbj79cCvv/nsjn6/fx1ebcigorIh1eEJ0O90lJ33xxRfp378/VquVCRMmsHr16hav9/v9PPTQQ2RmZmKxWBg4cCCvvPJKFD23j5hO3z733HM599xzm339mmuuafTzs88+y9KlS9m2bRvz5s1r9n2KotCrV692i1MIIU5l794CVn62m683HKSsoo46f5CQpoGiYDYZsNstpKS4mTltELPPHkpaqifWIQshhPgGyUeFEN1ZeUk1a5btYPXHO8g/VkE1Ol4VNFXBaFSx2MzExdsZO7Ivs2cMYdyoDBTlzJsiKkRP9Oabb3L33Xfz4osvMn36dP7whz9w7rnnsmvXLvr27XvK91x55ZUcO3aMpUuXkpWVRVFREaFQqJMj/69us6ZkIBBgyZIleDwexowZ0+K1NTU1ZGZmEg6HGTt2LE888QTjxo1r9nq/34/f/9/RTFVVVe0WtxCi59F1nQ8+2Mpb//yaOq+fulAYXyAECphMBnRNJxgMU13lJRzWeOe9zaxet4/bbpnN6JEZsQ5fCCFElDoyHwXJSYUQbXNofyEv/e97FOSV4bOoVFpUwrqOqiiYdJ1QUMMX8FEWDLP+62w2bTvMOXNHcvXlkzEaZM9bIbq7Z599lltuuYVbb70VgMWLF/Pxxx/z+9//nieffLLJ9R999BGrVq3i4MGDJCQkANCvX7/ODLmJLv+b6L333sPpdGK1WnnuuedYvnw5SUlJzV4/dOhQXn31Vd59913eeOMNrFYr06dPZ//+/c2+58knn8Tj8TQcGRlSNBBCNO+T5Tv4+5tfoOkaIUXB6w9hMNSPjjQYVIwmAxaLEUVVqKv1YzKqlFfU8cIfPmXPvoJYhy9E19Zd5sqIM0pn5KMgOakQInIFeWX87vF3Kcgrw5hkp9KkoAMWVcWsqhgMBixmIyazSqAuQKg2gNGg8v6ybfzjna/RdfnwE6JFMcxJq6qqGh0nP7A8IRAIsHHjRhYuXNjo/MKFC1m3bt0pb+ndd99l4sSJPP300/Tu3ZvBgwdz33334fV6o/kTahddvig5Z84ctmzZwrp161i0aBFXXnklRUVFzV4/ZcoUrrvuOsaMGcPMmTP5+9//zuDBg/ntb3/b7HsefPBBKisrG468vLyOuBUhRA9QVlbDP//5NSgKBpOBqlofRqOCQW3669RoVFFUhdKSGuI8diqrvPz5b19IEiiEEN1MZ+SjIDmpECJyb7+6hmP55ST2clPoD6DpYDq+qdbJVEXFZDZSV+MnHAhjs5r4cMVODh5qeV1cIUTsZGRkNHpIeapRjyUlJYTDYVJTUxudT01NpbCw8JTtHjx4kDVr1rBjxw7+9a9/sXjxYv75z3/ygx/8oEPuIxJdfvq2w+EgKyuLrKwspkyZwqBBg1i6dCkPPvhgRO9XVZVJkya1+GTaYrFgsVjaK2QhRA+2ft0Bqqu9JKe4yT2+aPipCpInGI0qgUCI6iov8XF2DuWWsHtvAcOHpndSxEJ0L7quoOudu9ZVZ/cnup/OyEdBclIhRGSO5ZezfUMOrjgbVeEwAU3DoqjNrhWpKgqKAhWlNfQbnMqxomrWfHmAgf1TOjlyIbqPWOakeXl5uN3uhvMt5Qbf/Hev63qzvws0TUNRFP7yl7/g8dTvd/Dss8/yrW99i9/97nfYbLbTvYU26/IjJb9J1/VTDl1t6fotW7aQlpbWgVEJIc4Euq6zatVujEYDwVAYry+IQW39g0pRFCoq6jCbjQSDYdZ+caATohVCCNFRJB8VQsTSV6v24K3143BZKQ0EUWg6QvKbDCaVgD+EtyaAzWZi7ZcHqKsLdFLEQoi2cLvdjY5TFSWTkpIwGAxNRkUWFRU1GT15QlpaGr17924oSAIMGzYMXdc5cuRI+95EhGJalKypqWHLli1s2bIFgJycHLZs2UJubi61tbX8z//8D1988QWHDx9m06ZN3HrrrRw5coQrrriioY0bbrih0VPqxx57jI8//piDBw+yZcsWbrnlFrZs2cJtt93W2bcnhOhhvN4A5eV1WG0mAqEwmq6jRlCUNKgqobCGpukYjSr5R8s7IVohhBCRkHxUCNHdFBVUNPxvf1iL6Eu9qqigQzAQwmo14fUFKauo7bAYhRAdy2w2M2HCBJYvX97o/PLly5k2bdop3zN9+nSOHj1KTU1Nw7l9+/ahqip9+vTp0HibE9Pp2xs2bGDOnDkNP997770A3Hjjjbz00kvs2bOH1157jZKSEhITE5k0aRKrV69mxIgRDe/Jzc1FPWnqZEVFBd/73vcoLCzE4/Ewbtw4Pv/8cyZPntx5NyaE6JGCwTC6rqMqav26kG1cGvLEUPpQKNwxAQrRA2goaHTuVJnO7k90LZKPCiG6m2AgzImBkW1KR5X/5qO6rhMMSk4qRHO6Q0567733cv311zNx4kSmTp3KkiVLyM3NbXgI+uCDD5Kfn8/rr78OwDXXXMMTTzzBTTfdxGOPPUZJSQn3338/N998c0ymbkOMi5KzZ89uccOHt99+u9U2Vq5c2ejn5557jueee+50QxNCiCbsdgtGo0owGMZgNtQndtDqR0d98nd8xGRIw+2OzS98IYQQTUk+KoToblweG7pev0SQQYFgBJVJHR10HdWgEgqGMRoMOByyhq0Q3dlVV11FaWkpjz/+OAUFBYwcOZIPPviAzMxMAAoKCsjNzW243ul0snz5cn70ox8xceJEEhMTufLKK/nFL34Rq1vo+hvdiNjxewNsXbOXY7klhAJhbE4LwyYNpO+QtFbXLGlJRUk1W9YdoLK8frqAJ97B2GlZxCW52it0ITqEyWRg/Ph+rFy5m2SXG5PRQCgcRjUaWnxfWNNxu631ySA6E8Zmdk7AQnRHOm0ehdwufQohuiRd1zm4u4D9O/Lw1gYwmY2kZyYyavIATObov8oEAyG2r9nL0YPHCPpDWB0WBo/vz4BRGaeV5wrRGUZO6MeKdzcT8AeJMxk55g+0uLkFQDikYTCq9etQltcyfEgayYnOToxaiG6mm+Skd9xxB3fccccpX3v11VebnBs6dGiTKd+xJEVJ0URdtY/lb6xl9b83UnK0vGEkmK7pWOxmBo/vx4KrpzNmxpA2tXv0UAnL/vEVX6/cQ22VF06sxafpONw2Js0ZysIrJpOemdTu9yREe5l59hDWrt1PIBAi3m2jqLSmlR3OdBQgLs5BZZWXOI+dsyYN7NyghRBCiG5G13U2fL6XFf/aSPbuowT8IVRFqc9LFUjtk8DZ545m3qUTsFhNEbfr9wb45I21rP7X1xw7XIKm139Oa7qO2Wpm4KgM5n17GpMWjpbipOiyRk7oR1pGIgW5pSSkOCkJBAnT/Jd7HR0trBGX6GyoecydOVT+jgshYk6KkqKRipJqXnzgr+zZmIPJYiQ+1dPwFFrXdbw1Prav2ce+jYe4/IcLOee6GRG1u3drLn944t+UFFTicFtJ7h3XsPaSFtaoqfLy6Tub2PZFNrf9/BIGj87osHsU4nQMGZLOiBG92bz5MJ54O+Wm+p24TUa1SWKn6xAKhnE4LCiKQiAQ5uLzR+CUqTJCNEvXFXS9c78kdXZ/QoiW6brOO6+u5v03viAUDOOOsxOf5Gz4nA34QxQXlPP3JZ+xe8thbvvZRThcrS+NUlvl5aWf/JVtq/dgMBnwpLgxW0wNffpq/ezZcJADWw9zZH8hl/5goRRtRJdkMBpYdPlEXl28jGCVD4/ZSFkgiIqK+s18FJ1QIIzBaMAVb6ektJqB/VOYOLZfbIIXopuQnLRzxHT3bdG1+L0B/vDQm+zecJCEXh4Se8U1mhajKAp2l42UvomgwD9+8zFr/rOp1Xbzc4r5wxP/pqyoitSMBNzxjkaLwasGFXe8g9Q+CZQdq+Klx98hP6e4Q+5RiNOlqgrfv20ugwf3orK8jninFaNBJRAME9a0hnXJwmGNYDCExWrC7rBQU+Nj1ozBXHzBuBjfgRBCCNG1LX9rA//583pMJiOpveOxHX+4d4LZYiQp1UNcopNtX2Sz9OkPCLeyiVw4FGbpw2+y9fPdxKW4SUqPbyhIQn2ea3NaSe2bhMli4j8vf8ryv6zpsHsU4nTNOGck5101Gb8/hL0miNNgIKBrBE/KRzVNI+gPgQqeZCeVNT76pCdw53fnYm3DCGMhhOgoUpQUDb7+ZAe7v8omsVdcoyTtmxRFIS7ZTTgc5p2XPsHvDbTY7od/+4KSwkqS0+NR1eYr/6qqkNw7npLCSj5688uo70OIjubx2Ln/gfOZPXsYVrMRh8mIQVEJBjV8vhBeX5BQSMNoMmCzm3G7bVxx2US+e9MsjAb5tSuEEEI0p7qyjvf+uh6DUcUdb2/xWovVRFyiky3rDrDtq4MtXrttzV62rNpNXLIbi83c4rXuBCcGo8p7f/yU6rKaNt+DEJ1BURQu+84MrvvBfJKS3LhrQtj8GuGQhjcUpi4QxB/SwGzA6rFjsZqZMmEAD95zLmm94mIdvhBCADJ9Wxyn6zqr/vU1AOYIn5rFJ7spOVrOls93c9Y5Y055TemxSjat2YfDZW2xIHmCqio4XFY2rt7LpTefTUKKO/KbEKITOZ1Wvn/bXC4rnsT6dfvZs+coRSXVVNX4UI0qcfEOUlPcjBvTl8kT+mO3y5RtISKh128O2ul9CiG6hq9X7qGqrJakNE9E11vtZirLalnz0XbGTRvU7HVr/r2BcCiMNcIlVDxJLkryy/lq2TbmfXtaRO8RorMpisLcC8cyfcEItnyRzaa1+zl2rJISrx+fouNKcJCc6mZgvxSmn5VFn/T4WIcsRLchOWnnkKKkACBvXyGHdh3BFe+I+D1GsxFd1/niw63NFiU3rdlHbZWPlN6RfwA6PXaK8svZtGYf8y+bGPH7hIiF5GQXF108nosuHh/rUIQQQohub93ynagGBUMbZhY43FZ2bTxESWElSb2aFjNLCyvYuX4/Dk/LIy9PZjAaUA0K697bJEVJ0eVZrCbOmj2Us2YPjXUoQgjRJjKPUABQUVJF0B/CbG15Oss3mcwmio+WN/t6ZWkNiqJENEryBFVVUBSFilKZLiOEEGcaPUZHNF588UX69++P1WplwoQJrF69utlrV65ciaIoTY49e/ZE2bsQPVPpscoWlxE6FbPFRDAQorKs9pSvVxZXEfQHMbcybbtJu1YzpS3kuUIIIXqu7pSTdmdSlBTAScOE27rZk0LDQsotthuNM3HsshBCiG7hzTff5O677+ahhx5i8+bNzJw5k3PPPZfc3NwW37d3714KCgoajkGDmp9uKsSZqKW8sjkn9sBp7r2nk1JGE48QQgghIiNFSQGAJ8GJ0Wwk6Au26X1Bf5DEFhZKdsc70HUdXYs8odM1HV3XcbdhKrkQQgjRmZ599lluueUWbr31VoYNG8bixYvJyMjg97//fYvvS0lJoVevXg2HwWDopIiF6B4Skt0E/G3LRwP+EEaTodmNcdyJ0eW5AX+Q+NTI1rYUQgghRNtJUVIA0HdoGhmDe1FVHvmU6VAwDChMXji62WvGTs/C7rBQU+2NuN2aai92p4Vx0wdH/B4hhBA9hRKjA6qqqhodfr//lBEGAgE2btzIwoULG51fuHAh69ata/Huxo0bR1paGvPmzeOzzz6L+E9FiDPFWXOHo4V1tLAW8XtqqrwMHpVBclrcKV9P7p3AkAn9qamoi7hNLawRDoWZev64iN8jhBCiJ4ldTnomkaKkAEBVVWZdMgld0wkGQhG9p7KkmoRUNxPmDG/2mtTeCYyaMpCaSm9E0190Xaem0svoKQNJTo+LNHwhhBDitGVkZODxeBqOJ5988pTXlZSUEA6HSU1NbXQ+NTWVwsLCU74nLS2NJUuW8NZbb/H2228zZMgQ5s2bx+eff97u9yFEd3bW3GE43DaqIiwg+n1BFEVh5nmjUZTmv8zNvGQSqkHB7w1E1G5VWQ3OOAdnLRob0fVCCCGEaDvZfVs0mLxwNJ//ewMHthwmqXc8RlPzfz2qymrQNZ3zb56NzWltsd1zvz2FPZsPU3y0guT0uGYTRl3XKT5aQVyik3O/PeW07kUIIUQ3FYtVvo/3l5eXh9vtbjhtsVhafNs3P890XW/2M27IkCEMGTKk4eepU6eSl5fHr371K84+++woAxei54lLdLLw8om88+oaaqu8ONy2Zq8NBkKUFVczclJ/xkzJarHdsbOHM2xyFjvW7SUxLR5TC5vp1FbWEfAGOO/m2cQlu5u9TgghRA8Ww5z0TCIjJUUDu8vK7U9+m34j+lCcX05FSTXh0H+nzui6jq/OT1FeKUF/iAtumcW8K1svHvYfmsYtP70Ap8dOYV4ZNVWNR03quk5NlZfCvDJccXZuffAC+g1J65B7FEIIIZrjdrsbHc0VJZOSkjAYDE1GRRYVFTUZPdmSKVOmsH///tOKWYie6ILrpjHv0vHU1QYoLqjA/421IEOhMOUl1ZQeq2LI6L5878ELMVtaHmthMhv5/lNXM2TCAEoLKigvqjy+FNF/+b0Bio+UUlftY963p3Hhd+e1+70JIYQQ4r9kpKRoJLl3Avf97ib+s/QzvvxoKyVHy4D/7lpoMhvpP7IPC6+ezpRzx7Q4TeZkY6Zmce//Xcn7f13Pjq9zOHakvNHrNoeFyXOHcf7VU+k/LL1d70kIIUQ3oivoeievp9PG/sxmMxMmTGD58uVceumlDeeXL1/OxRdfHHE7mzdvJi1NHsIJ8U0Gg8q1P1pAnwEprPjXRo4eLqU8VL/uuXL8/8QnuVhw+STO+/YUHK6WZ+2c4El0cfcLN/PBK5+x9j+bKC0oBx3040NTjEYjvbN6Mf/q6cy6fHLEea4QQogeqBvkpD2BFCVFE+4EJ9fefyEXf28eGz7ZwbG8UoL+IHaXjeGTBzJ4fD9Ute2DbPsPS+eHT1xOQW4pm9fso7KsFgBPgoNxMwaT1jexvW9FCCGE6BD33nsv119/PRMnTmTq1KksWbKE3NxcbrvtNgAefPBB8vPzef311wFYvHgx/fr1Y8SIEQQCAf785z/z1ltv8dZbb8XyNoToshRFYfYFY5m5aBS7N+eyd1suvroAJrOR9Mwkxs8YhL2VJYROxeG2ccXd53H+LXPY9OlOCnKK8HsD2JxWBo/vz/CzsjAYDR1wR0IIIYT4JilKimY5PXZmXz653dtN65tI2jVT271dIYQQorNcddVVlJaW8vjjj1NQUMDIkSP54IMPyMzMBKCgoIDc3NyG6wOBAPfddx/5+fnYbDZGjBjB+++/z3nnnRerWxCiWzAYDYyc1J+Rk/q3a7t2l40ZF09s1zaFEEII0TZSlBRCCCFEl6Hr/10ypDP7jMYdd9zBHXfcccrXXn311UY/P/DAAzzwwAPRdSSEEEIIITpVd8pJO1sgECAnJ4eBAwdiNJ5eWVE2uhFCCCGEEEIIIYQQQjSrrq6OW265BbvdzogRIxpmBd1555089dRTUbUpRUkhhBBCdBk6SkwOIYQQQgghTpCctKkHH3yQrVu3snLlSqzW/67rPH/+fN58882o2pTp20IIEYVAMMSmLbmsWb+P/IJKwuEwuqZjUBU0vX53UKfTwqTx/Zk2JYuUZHesQxYdqMRXw6cF+1ldeIDygBeDopLhiGNB76FMTe6H2SAft0IIIYRoX7qus7+wlE93HGBLbgHeQBAlpGMJqOheDQWwmI0M7pvM7ImDGDGwl+wq34P5QyG+yMtj+YEDHK6oJKSFibfamNGvH/MHDiDF6Yx1iKKbe+edd3jzzTeZMmVKo98lw4cPJzs7O6o25VuSEEK00debDvGXv39BYVEluq6jazpVlV6CwTC6rmMwqDjsZux2Cweyi3j3gy3MmDaIa6+cgsViinX4oh0FtTCv7P+C9/N2UhXwYVRVzKoBHZ282jLWF+eQbvdw25AZTE8dEOtwhRBCCNFDFFfVsPjDtWzPK8QbCGJCoa7IR6AmiBbWUVQFi8lIgsPG4aNlrNqYzYA+idxx5Qwy0xJiHb5oZ+tyc3nxiy85UlWFruuYjQZURaGwpoYdRUX8detWzh08iFsnTsRymmsAijNXcXExKSkpTc7X1tZG/cBDpm8LIUQbrF63n9+9/CmFRZUkxDtw2C1UVXoJhzXMFiM2mxnVoFLrDRAMhutHSOrw8fId/Ob3n+APhGJ9C6KdhDSNp7d/wt8ObiSsa/R2eEizu0m0OkiyOuntiCPJ4uBobSX/u20ZnxzdG+uQuwc9RocQQgjRTRRWVPPQmx/zVXYeVpORVKcD/zE/oZoQRoMBq82E2WIgoIcp9/lIiLPjsJvZk3OMJ17+mINHSmJ9C6IdfZp9kCc+W8mRqkqS7HZ6e9wkOxwk2u2kuVyku12EdY03t+/gyVWfEwiHYx1y9yA5aROTJk3i/fffb/j5RCHy5ZdfZurUqVG1KSVyIYSIUHZOEX/6yxoCwRApyS4CgTAFRyvQNA2T2dDwS9loVNHCChVVXswWI8mJLsxmIxs2HeLvb33F9VdPi/GdiPbwxsENfHJ0L/EWOw6j+ZTXmA1G0uxujvmq+c2uVWQ44hjiSe3kSIUQQgjRU4TCGk+/t4qc4nJ6eVwYVIWjB8rx1QTr81G1Ph9VUDAbFfyhEHmllWT1SqRXkpvCkiqe/fNKnrrrQpw2S4zvRpyuA6WlPLt2Lf5QiDSX65Sj1VRFId5mw2Iw8tnBg/SN83DzhAkxiFZ0d08++SSLFi1i165dhEIhnn/+eXbu3Mn69etZtWpVVG3KSEkhhIjQilV7qKnxk5ToRFEUKipqCYXCGE2GJgmAalBQFSgvr0XTNKxWEzabmc/X7KOioi5GdyDaS03Qz3/ydmAxGJstSJ6gKAqpVhdVAR8f5O3qpAi7MXkqLYQQQjRry+Gj7DlaTJLLjtGg4q8N4q32YzSpDQXJExQUzAYD3kCIKq8fVVVISXRx5FgF67ceis0NiHb13p69VPp8pDodrU6ftZtNWIxG3tuzl2q/v5Mi7MYkJ21i2rRprF27lrq6OgYOHMiyZctITU1l/fr1TIiy0C1FSSGEiEB5RS1fbjiI3WFGURTCYY2qSi+qqjSbABiMKsGQRlW1DwC3y0pVtZf1Xx3ozNBFB1hzLJsSXy3xZltE1yuKgsNkZmXhfsr8tR0cnRBCCCF6quXb9xMKaVhN9euUV5V50TS9SUHyhPo8Vaespv6huNGgoigKy7/Yi6538QqIaFG518tnOQdxmM0Rr+cXZ7NSWlfHypycDo5O9FSjRo3itddeY8eOHezatYs///nPjBo1Kur2pCgphBAR2LOvkJoaHy5n/TQXrzdAKKRhMDb/a1RRFNB1auvqn0SqqoqqKmzZntcpMYuOs6n0CJquY1QNEb/HY7ZSFfSxrexoB0bWA8hTaSGEEOKUgqEwm3LycZy0cWJtha/Fh+QABlWl1h8kHNYAcDks5BaWUVha3eExi46z49gxKrw+PNbIp+EbVRUd2JCf33GB9RSSkzbxwQcf8PHHHzc5//HHH/Phhx9G1aYUJYUQIgJ13gAoCqpa/2tT0/SIni4rikI4pDX8bDCo1NT4OixO0Tkqg/U7bbeFQam/vjYU6IiQhBBCCNHD1QWChDQdg6E+p9B1vX6UZCuj5OoHS+qEj+euRoNKWNPx+iQn6c7qgkF06ovObWFQFSp9Mn1btN1Pf/pTwqfYKEnXdX76059G1aYUJYUQIgImkwFd/28hUlEUIpkloaOjnjSdRtfBYpY9xro7q8GI1sYpT7quowMWg/z3F0IIIUTbmYwG6ifi/DcH+ebPp6Lr9Reqx5NXXddRFQWTKfIZH6LrMakGdCIbKHEyXQebSfJR0Xb79+9n+PDhTc4PHTqUAweiW6JMipJCCBGB9F5xWMxGfL4gAGazEUVV0bQWkoDjL1ks9R/6uq4TCobpm5HY0eGKDtbfmYjWxiSwLhTEajDSxxHXcYH1APUzV5ROPoQQQoiuz2Yykh7nps5fn48qioLFZkJvKR+F+iVnDGrDiLpaXwCn3UJynLPDYxYdJyPOg81oojYYjPg99aNrNQbEx3dgZD2D5KRNeTweDh482OT8gQMHcDgcUbUpRUkhhIjAwP7JDOyf3LBpjcVixGE3N5qa/U1hTcOgqnjcdgC8viAWq5EZ0wZ3Ssyi48xNG4TDaKY6GPnUl4qAl2GeXgxxp3RgZEIIIYToqRRF4ZwxgwnrOmGtPgd1J9bnmS0VJjVdJ9FpbxhV6feHmD0hC+tJa1OK7icrIYGRqSlUeiNfGqomEMBuNjN/YFYHRiZ6qosuuoi7776b7OzshnMHDhzgxz/+MRdddFFUbUpRUgghIqAoCnPPHoaCUr++JBAX72jYibsJHcIhDafDgtlsRNN0KivrGDQwlYH9kzs5etHe+joTmJCYQUXAS1hvvjB9Qm0wgKoonNdneMS7I56xZFHxFgUCAY4cOUJubm6jQwghxJnh7KH9SXTaKK6uQ9d1HHEWTBYjoWD4lDM4guEwRlUlzm4FoLzKi8NmYdZEKUp1d4qicP6QIRhUhZpA6+uDhjWNCq+PsWlp9E+QkZKtkpy0iWeeeQaHw8HQoUPp378//fv3Z9iwYSQmJvKrX/0qqjZlIQEhhIjQtClZbNmRx5r1+0EHp9NCXLyd8vJagJMWHYdgMITFYiQlxU04rFFUXEVSopMbr50uRake4vtDpnOwupQjtRWk2V3N7sRdE/RTEfAyP30Ic9JklKyIzv79+7n55ptZt25do/O6rh9/ONJ00XEhhBA9j8du5bb5U3j2g9UUVdWS4naQ3NdN4cEKQsEwRpOhIdcMHv9sSIt3YTSolFfVEQ5rXHPuBPr2kqJUTzC7f3++OnKED/ftB13HaTn1TtwhTaOgqprebjc/mHJWJ0cpegqPx8O6detYvnw5W7duxWazMXr0aM4+++yo25SipBBCRMhoUPnejWdjUBXWfnmAqmovDqcFXdOprPQSOrGeiwJWi4mUZDcVFfXJX1ovDz+6bb6sJ9mD9HbE8cT483li60fkVJdiUFQ8Zitm1YAOeENBqoI+jIrKOb2Hcdfw2W3esVuIE77zne9gNBp57733SEtLk4cbQghxBps1bABhTefF5evJL6/CajKS0NdFWV41QX+ofsCVWv/APMXtRNEUCoqrsFvNXHveRC6aNTLWtyDaiUFVuXf6dFRFYdn+A1T4/LgsZuwmE4qiEAyHqfD6COs6AxLieXjOHDI8nliHLboxRVFYuHAhCxcubJf2pCgphBBtYLWauO3m2UydNJBVa/eydccRjCYDLrcNvz9IOKRhtRixWEwEg2F6p8czd9ZQpk0ZhMdti3X4op31dyWyePLlfFa4jw/ydnG4pozK49O5rQYjs3plcU7vYUxOzsSgSEEyErquoOudW3Dr7P6isWXLFjZu3MjQoUNjHYoQQoguYO6IgWT1SmTF9gN8suMAFboXa7qNYE0QrTqEWTVgNRpRNbBYDMydNII5kwYxqK8sI9TTWIxG7p85k1n9+/PRvv18deQIpXVedF3HqKoMSEjg/CFDmDdwAB6rNdbhdhuSk57aihUrWLFiBUVFRWha42WsXnnllTa3J0VJIYRoI4NBZfzYTMaPzaSopJrS0hrCYQ2Hw4LDbqasrJZgKIzDbqFv30SMBilG9WRus5WL+47mgoyRHKwuoTrox6CopFpd9LK7Yx2e6CGGDx9OSUlJrMMQQgjRhfRNjOOm2RO5aupoDpdU4A0EsZiMpDgdlFXU4fUHsZgMpKd48Djl4XhPpioKUzIymJKRQUF1NUU1NYQ0HZfFzMCEhIad14U4HY899hiPP/44EydObLeZO1KUFEKI05CS5CIlydX4XLIUos5EBkVlkOysffpisch3F19UHOD//u//eOCBB/jf//1fRo0ahcnUeMdUt1t+7wghxJnKbjEzrHfjHCQ5zhmjaESspblcpLlcrV8oWiY5aRMvvfQSr776Ktdff327tSlFSSGEEEKILm7+/PkAzJs3r9F52ehGCCGEEEJ0hkAgwLRp09q1TSlKCiGEEKILUY4fnd1n1/bZZ5/FOgQhhBBCiDOI5KTfdOutt/LXv/6Vhx9+uN3alKKkEEIIIUQXN2vWrFiHIIQQQgghzmA+n48lS5bwySefMHr06CbLCT377LNtblOKkkIIIYQQ3URdXR25ubkEAoFG50ePHh2jiIQQQgghxJlg27ZtjB07FoAdO3Y0ei3aTW+kKCmEEEII0cUVFxdz00038eGHH57ydVlTUgghhBBCdKSOWE5I9oUXQgghhOji7r77bsrLy/niiy+w2Wx89NFHvPbaawwaNIh333031uEJIYQQQogzxIEDB/j444/xer1A/caL0ZKRkkIIIYToOvTjR2f32cV9+umn/Pvf/2bSpEmoqkpmZiYLFizA7Xbz5JNPcv7558c6RCGEEEKInkNy0iZKS0u58sor+eyzz1AUhf379zNgwABuvfVW4uLi+PWvf93mNmWkpBBCCCFEF1dbW0tKSgoACQkJFBcXAzBq1Cg2bdoUy9CEEEIIIcQZ4J577sFkMpGbm4vdbm84f9VVV/HRRx9F1aaMlBRCCCGE6OKGDBnC3r176devH2PHjuUPf/gD/fr146WXXiItLS3W4QkhhBBCiB5u2bJlfPzxx/Tp06fR+UGDBnH48OGo2pSipBBCCCG6li4+dSUW7r77bgoKCgB45JFHOOecc/jLX/6C2Wzm1VdfjW1wQgghhBA9keSkjdTW1jYaIXlCSUkJFoslqjalKCmEEEII0cVde+21Df973LhxHDp0iD179tC3b1+SkpJiGJkQQgghhDgTnH322bz++us88cQTACiKgqZpPPPMM8yZMyeqNqUoKYQQQoguQ9frj87us7sIBALk5OQwcOBAxo8fH+twhBBCCCF6JMlJm3rmmWeYPXs2GzZsIBAI8MADD7Bz507KyspYu3ZtVG3KRjdCCCGEEF1cXV0dt9xyC3a7nREjRpCbmwvAnXfeyVNPPRXj6IQQQgghRE83fPhwtm3bxuTJk1mwYAG1tbVcdtllbN68mYEDB0bVpoyUFEIIIYTo4h588EG2bt3KypUrWbRoUcP5+fPn88gjj/DTn/40htEJIYQQQogzQa9evXjsscfarb2oi5KhUIiVK1eSnZ3NNddcg8vl4ujRo7jdbpxOZ7sFKIQQQghxpnvnnXd48803mTJlCoqiNJwfPnw42dnZMYws9iQnFUIIIYToGNu2bYv42tGjR7e5/aiKkocPH2bRokXk5ubi9/tZsGABLpeLp59+Gp/Px0svvRRNs0IIIYQQ4hSKi4tJSUlpcr62trZRkfJMIzmpEEIIIUTHGTt2LIqioLey4KWiKITD4Ta3H1VR8q677mLixIls3bqVxMTEhvOXXnopt956azRNCiGEEEKArtQfnd1nFzdp0iTef/99fvSjHwE0FCJffvllpk6dGsvQYkpyUiGEEEJ0CMlJAcjJyenQ9qMqSq5Zs4a1a9diNpsbnc/MzCQ/P79dAhNCCCGEEPWefPJJFi1axK5duwiFQjz//PPs3LmT9evXs2rVqliHFzOSkwohhBBCdJzMzMwObT+qoqSmaacclnnkyBFcLtdpByWEEEKIM5Oi1x+d3WdXN23aNNauXcuvfvUrBg4cyLJlyxg/fjzr169n1KhRsQ4vZiQnFUIIIURHkJy0ebt27SI3N5dAINDo/EUXXdTmtqIqSi5YsIDFixezZMkSoH4KUU1NDY888gjnnXdeNE0KIYQQQogWjBo1itdeey3WYXQpkpMKIYQQQnSOgwcPcumll7J9+/ZG60yeWFao09aUfO6555gzZw7Dhw/H5/NxzTXXsH//fpKSknjjjTeiaVIIIYQQQrSiqKiIoqIiNE1rdD6a3Q57AslJhRBCCCE6x1133UX//v355JNPGDBgAF999RWlpaX8+Mc/5le/+lVUbUZVlExPT2fLli288cYbbNq0CU3TuOWWW7j22mux2WxRBSKEEEIIgX786Ow+u7iNGzdy4403snv37ia7H0a722FPIDmpEEIIITqE5KRNrF+/nk8//ZTk5GRUVUVVVWbMmMGTTz7JnXfeyebNm9vcZlRFSQCbzcbNN9/MzTffHG0TQghxxtF1nX05RWzfm09tXQCT0UCvZDeTx/TD6bDEOrwe4UhNBWsKD1Hu96IAiVYHM9L6kWZ3d2ocORXlrMvPpcLnw6AqJNsczOzbjxS7o1PjED3DTTfdxODBg1m6dCmpqakN02SE5KRCCBGN0opavtp6iNKKWjRNx+20MmFkXzLS4mMdWo9QGwqwriibI7Xl+LUQDqOF0fG9GRXfG7UTP8Or/H5W5x0iv7qKYFjDaTYzIS2dEUkpkkuINguHwzidTgCSkpI4evQoQ4YMITMzk71790bVZsRFyXfffTfiRqNZ3FIIIXq6Lzbn8N6n28k+XEwgWD+q6UQu8Nd3v+bsyVlcvGAMHpeM7onG7vIi/rp/M18V5VEX+u+iyzo6r+z5imm9+nFN1jgGehI7NI6txwr4665tbCo8Sl0wyMn53h+3bmBWRj+uHTmGDHdch8bRfSnHj87us2vLycnh7bffJisrK9ahxJzkpEIIEb2jRZW8s3wrX249RHWdv+ETUAf+8dFmRgxK45L5oxmelRbLMLutmqCfv+dsZPnR3RT7awDQdVAUHZNqYKArmUv6jmVe2pAOLQqW+7z8dcc2luUcoNRb1+i117YbGJaYzLeGjWROZv8Oi6H7k5z0m0aOHMm2bdsYMGAAZ511Fk8//TRms5klS5YwYMCAqNqMuCh5ySWXNPr55EUtTz4H0S1uKYQQPZWu67yzbCt/f38jwWAYj9tGQpzppN+ZGlU1Pt5Zto0de49y3/cWkJIou8a2xbrCQzy5+TPKfHV4LFZ6O9wNf76arlMV8PFR7l42Fefz84nzGZfUu0PiWHEom199uYZKv494i40El61RHJV+H+8e2MOmY0d5dOY8hieldEgcoueZN28eW7dulaIkkpMKIUS0Dhwu5tevrKCwuAqn3UKvRDeqWv/7Utd1ar0BNmw/zJ7sY3zv29OZMWFgjCPuXsr8tTy+5QO2l+djNZhItbowqgag/s/XFw6yt/IYv9qxnEM1JdwyaHqHFCYLaqp5eNUn7Copxm4y08vpwqiqDXHUhYJsLSpkd2kxR6oquW7kGBk1KSLys5/9jNraWgB+8YtfcMEFFzBz5kwSExN58803o2pTjfRCTdMajmXLljF27Fg+/PBDKioqqKys5MMPP2T8+PF89NFHUQUihBA91afr9/LmexsxGFR6pXiwWc2NPvgNBpV4j52URCcHDhez+JUV1HoDLbQoTrar/BhPbv6MqoCPDKcHj9na6M9XVRTiLDb6OD2U+Gp5YuMn5FSVtXscGwvyeebLNdQFg2S4PLgsliZxxFtt9HG5ya+u5rE1n3K0uqrd4+j29BgdXdwf//hHXnnlFR577DHeeust3n333UbHmURyUiGEaLui0mqe+9OnHCupJi3ZjcdlayhIQv3DHKfdQlqyB18gyB/+tobte/NjGHH3EgiHeGrbx2wrP0KK1UWS1dlQkIT6P1+b0Uy6PQ6rwcTfD23in4fbvv5ea2oCAR5d/Sm7SopJc7pIstsbCpIn4nCYzPRxezCqKq9s3ch7B6KbdtvjSU7axDnnnMNll10GwIABA9i1axclJSUUFRUxd+7cqNqMak3Ju+++m5deeokZM2Y0Cs5ut/O9732P3bt3RxWMEEL0NH5/kLc+3Iyu68S57S1eazQaSE5wsS+niLUbslk4c1gnRdm9/XX/Zsp8dWQ4PS0+5VUVhXSHmyM1lfw9eys/GTen3WLQdZ3Xdmym2u+nj8vdShwq6U4XeVWV/GvfLn4wYUq7xSF6rnXr1rFmzRo+/PDDJq+dyRvdSE4qhBCR+Wj1Lo4WVZKW7EZVmx+bpCgKyfFOCoor+cdHmxk5OF1G0UVgbdFBNpflkWJ1YTa0XGbxmG0EfGH+nrORc9KH4zZb2y2OFYey2VlcRC+nC5PB0OK1CTY7hTXVvL59C/P7DcRmMrVbHKJneu211/jWt76Fw/HfNfITEhJOq82IR0qeLDs7G4/H0+S8x+Ph0KFDpxWQEEL0JF9tO0xRaQ1xnpYLkieYTAYURWHFuj1oWhd/VNYF5FaX83VRHnEWa0QJs6oouMwWVh09SLG3pt3i2F1azM7iIhJstojiMKgqdpOZZTkHqPL72y0O0XPdeeedXH/99RQUFDQaKahp2hlbkATJSYUQIhI1dX4+/+oANqu5xYLkCYqiEOeys/9QMQcOF3dChN2brut8eGQHOmAxRFbYSzDbKQ/UsurYvnaLQ9N13tu/F1VRMLdSkDwh0WansLaGNUcOt1scoue67777SElJ4dvf/jbvvfceoVDotNuMqig5adIk7r77bgoKChrOFRYW8uMf/5jJkyefdlBCCNFTrN90EB0dkzGyxADA47KRm19Gdq4kga1ZU3iI2lAQlynyncs9ZivVQT9rCw+1Xxx5h/GFQtiNkT9hjrNYKfPW8eXRvHaLo0eQqTKnVFpayj333ENqamqsQ+lSJCcVQojWbdl9hPKqOtzOyEfk2awm/IEgX22TYlVrjtRVsLuyEI8p8s0qDaqKisJnBe1XlNxbWkJ2RRlx1sjjMBkM6LrOp4cOtlscPYbkpE0UFBTw5ptvYjAY+Pa3v01aWhp33HEH69ati7rNqIqSr7zyCkVFRWRmZpKVlUVWVhZ9+/aloKCApUuXRh2MEEL0NCVlNa1Onfgms8lAMBSmssrbQVH1HGX+uvp98dowrUg9fm25v/3+fEt99bsatiWO+vV9FMp98t9ZtO6yyy7js88+i3UYXY7kpEII0bqK4zml0RD51//6nEahvKqu1WvPdBWBOgJaCEsr07a/yWwwUuSrbrc4yn1eguEwlrZ+9zAYOFbbfjOIRM9lNBq54IIL+Mtf/kJRURGLFy/m8OHDzJkzh4EDo9sYK6o1JbOysti2bRvLly9nz5496LrO8OHDmT9/vqw3IYQQJ5PfiV1Sh/xXkf/U7SMWT4m7+FNpgMGDB/Pggw+yZs0aRo0ahekb6z7deeedMYostiQnFUKICEX5K1F+l3asrvKnK/+dT0Fy0hbZ7XbOOeccysvLOXz4cNTreEdVlIT6v7QLFy5k4cKF0TYhhBA9XkqCk+w2rsXjD4QxGQ2tbowjIMFir88XdD3iZCqsa+hAorX9/nyTbHbQ2xZHSNOA+rV8hGjNH//4R5xOJ6tWrWLVqlWNXlMU5YwtSoLkpEII0Zp4tw10CIW1iEdL6np9RSZe8tFWJZgdmFUjvnAQkxr5KEV/OESK1dV+cdhsmAwG/OEQdtUc8fsC4TC9HO0Xh+jZ6urq+Ne//sVf/vIXPvnkEzIyMrj66qv5xz/+EVV7URUlH3/88RZf//nPfx5VMEII0dNMmzCAL7ccIhgMYzJFlqRUVXvJ6pfMwMykDo6u+zs7rT+v7d1IVdCPJ8KdCyv9PtxmC9N69Wu/ODL68eau7dQGgzjNkSWBFT4viTY7Z6VntFscoufKycmJdQhdkuSkQgjRurHDM0iIc1BV4yXB42j9DUCdL4jFYuKsMZkdHF33l273MDI+na9LDuMyRZaPhrT6h+Rz04e2WxxDEpIYlJDIrpJi7KbI8tFAOIyiKMzt17/d4hA919VXX81//vMf7HY7V1xxBStXrmTatGmn1WZURcl//etfjX4OBoPk5ORgNBoZOHCgJIBCCHHchFGZpCS5KC6tISWp9SeQgWAIHZ1504bKNIoI9HHGcVZKBivyD+A2WVr9M9N0nZpggEv6jyDJGllSHonBCUmMTEnl66NHcJhMrcYR1jS8oRCXDx0RcRHzzKHQ+ZOZ5N9adyU5qRBCtM5hMzNrUhZvLdtCOKxhaGW0pK7rVFTXMWZoHwZkyEPy1iiKwqLeI9hYkosvHMQawQ7c5YFaEix2zk7Natc4Lsgaws7iIgLhEOYI1rgs9daR5nAyvY8Un5uSnPSbFEXhzTff5JxzzsFojHridSNRtbJ58+Ym56qqqvjOd77DpZdeetpBCSFET2ExG7nivPH84a+rKa+sI97T/BSYYChMSVkNwwelMX3igE6Msnu7dvB4tpYe5WhtFekOd7MFQU3XOVpbSZrDxZUDx7RrDIqi8J1R49lXWkJhbTW9HK5m4whrGkdrqujriePSwcPbNQ4hzjSSkwohRGTOmTmcL7ceIv9YJalJLgzqqQuTuq5TVFaNy2HlikXj5CF5hKYm92dCUl++LD5EitXV4qY3FYE6wrrG1f0nRTyyMlLz+g3ko+z9bD5WQC+nC3MLm96U1NVhUBRuGjMeazsVmETP9te//rXhf/t8PqzW0//7G9Xu26fidrt5/PHHefjhh9urSSGE6BFmnTWIay6ejK7rFBRVUucNHF+np14oFKa0opbi0hqGDEjl7pvnYrPK6LlIDYlL5qEJ84m32smrqaTC70U76c9X03XK/V6O1FSSanPx8wkLyHTFt3scY1PT+MnUs3GaLeRVV1Lp9zX67xzWNMq8deTXVJHhjuOxmfPo5ZT1e75J0WNziJ5DclIhhGgqOcHJPTfNJT3FQ2FxFeVVdYSPr28N9cXI6lofR4srcdjM3HHNTEYMSothxN2L2WDkgZELGZ+YQbG/miJfNUEt3PC6ruvUhQLk11UQ0MJc038Sl/Rt34fkAHaTiUdmzmFUSirHamsorqslGG4cR00gwJGqSkDne+MmsmjAoHaPoyeQnLQpTdN44okn6N27N06nk4MHDwLw8MMPs3Tp0qjabNdyeEVFBZWVle3ZpBBCdHuKonDhvFGkJbt5/7Md7D14jMpqb6Mnz4lxDmbPG8QF80bhcrTvE9MzweSUDH419QLePLCFtYWHyK+tREFBoX4TO5fJwsX9RnBV1pgOKUieMKtvfxJtdv6xezvrjx4hv6aqYRKGDsRZbFwxcDBXDRtFusvdYXEIcaaTnFQIIZoakJHEwz9YxH8+3c7aTQcpKq1umC2q62C3mpk+fiAXzh3JkP6psQ22G4q32Hls3IX86/BmPsrfxTFv1UmbKeuYVSOj4tO5uO8YZqUO6rBRqCkOJ0/PPYe/79rBhwf3UVRbA8ezYg2wGY1MTOvNFUNHMD1Dpm2LyP3iF7/gtdde4+mnn+a73/1uw/lRo0bx3HPPccstt7S5zaiKkr/5zW8a/azrOgUFBfy///f/WLRoUTRNCiFEjzdxdCYTRvUlJ6+EbXuOUucNYDIa6JXsZuLovjI68jQN8iTxswnzKairYl3hYcr9XhQgwWpnRq/+JNvabw3JloxMTmVkcip5VZWsz8+l0u9DVVSS7Q5mZmQSb7V1Shyi5wiFQvzyl7/k5ptvJiNDNkY6meSkQgjRNqlJbm69cjpXnDuer7YdpqyilrCm43ZamTAig7QUT6xD7NYcRjPXDTyLb/UbzxfFORypLSeghbEbzYyO780wT69OmRLvsVj57riJXDtyDGvyDpNfXUVQC+MwmZmY1pvBCYkyNV+02euvv86SJUuYN28et912W8P50aNHs2fPnqjajKoo+dxzzzX6WVVVkpOTufHGG3nwwQejCkQIIc4EiqIwoG8yA/omxzqUHivN7ubyAaNiHQYZbg8Z7tjH0e3ox4/O7rMLMxqNPPPMM9x4442xDqXLkZxUCCGi43HZWDC9/XZ+Fo1ZDSZm9xoc6zCwm0wsHNB+m+mcUSQnbSI/P5+srKZ/nzRNIxgMRtVmVEXJnJycqDoTQgghhBBtN3/+fFauXMl3vvOdWIfSpUhOKoQQQgjROUaMGMHq1avJzGw87f8f//gH48aNi6rNqIqSN998M88//zwuV+MF+mtra/nRj37EK6+8ElUwQgghhBCiqXPPPZcHH3yQHTt2MGHCBByOxssRXHTRRTGKLLYkJxVCCCGE6ByPPPII119/Pfn5+Wiaxttvv83evXt5/fXXee+996JqU9FP3ho0QgaDgYKCAlJSUhqdLykpoVevXoRCoaiC6SqqqqrweDxUVlbidstGBEIIIc48nf1ZeKK/y//fnzDZ7R3e38mCdXW8df1NXfpzX1XVZl9TFIXwSTtrnkkkJxVCCCF6NslJu5aPP/6Y//3f/2Xjxo1omsb48eP5+c9/zsKFC6Nqr00jJauqqtB1HV3Xqa6uxmr97w6x4XCYDz74oElSKIQQQggRKUWvPzq7z65O07RYh9ClSE4qhBBCiI4kOWljJ2+8uGrVqnZrt01Fybi4OBRFQVEUBg9uumiroig89thj7RacEEIIIYQQ3yQ5qRBCCCFE5+mojRfbVJT87LPP0HWduXPn8tZbb5GQkNDwmtlsJjMzk/T09HYNUAghhBBCwKpVq/jVr37F7t27URSFYcOGcf/99zNz5sxYh9bpJCcVQgghhOhcHbHxYpuKkrNmzQLqdzrs27cviqK0WyBCCCGEEOLU/vznP3PTTTdx2WWXceedd6LrOuvWrWPevHm8+uqrXHPNNbEOsVNJTiqEEEII0bk6YuPFiIuS27ZtY+TIkaiqSmVlJdu3b2/22tGjR7c5ECGEEEIIcWq//OUvefrpp7nnnnsazt111108++yzPPHEE2dUUVJyUiGEEEKIznf77bcD8OyzzzZ5LdqNFyMuSo4dO5bCwkJSUlIYO3YsiqJwqo27z+QdIIUQQghxmvTjR2f32cUdPHiQCy+8sMn5iy66iP/5n/+JQUSxIzmpEEIIITqc5KRNdMTGixEXJXNyckhOTm7430IIIYQQonNkZGSwYsUKsrKyGp1fsWIFGRkZMYoqNiQnFUIIIYToXIcPH2bZsmWEQiFmzZrF8OHD26XdiIuSmZmZp/zfQgghhBCiY/34xz/mzjvvZMuWLUybNg1FUVizZg2vvvoqzz//fKzD61SSkwohhBBCdJ7PP/+c8847j7q6OqB+J+7XXnuNq6+++rTbbtNGNye8++67pzyvKApWq5WsrCz69+9/WoEJIYQQ4gwkU2VO6fbbb6dXr178+te/5u9//zsAw4YN48033+Tiiy+OcXSxIzmpEEIIITqE5KQNHn74YebMmcMf/vAHbDYbDz74IA888EDsipKXXHLJKdfvOXFOURRmzJjBO++8Q3x8/GkHKYQQQsRKbTBAZdCHAsSZbdiMpk7pt9rnp8rrx6iqxDusmI1RfWSLHuTSSy/l0ksvjXUYXYrkpEIIIc4EIU2jrLaOQDiMw2wmzmZFUZQO7zcQDFFZ7SMU1nDazbgc1g7vU3Q927dv5/PPPyc9PR2AX//617z88suUl5efdn4V1Tec5cuX89BDD/HLX/6SyZMnA/DVV1/xs5/9jIcffhiPx8P3v/997rvvPpYuXXpaAQohhBCdTdd1tpUdZdmRfXxemE1Aq98sw2owMjsti4V9hjA8LrXdk8FQWGPT4Xw+3rGfTYfzCR1fTNplsTBv+EDmDc+iX1IPL6zIU2nRBpKTCiGE6MmOVdfw6b5sPti9j7I6L5quY1BUhqYmce6wwUzr3xebqf0fmB8pLOfzr7NZ+dU+ausC6LqO0WBg1JB05pw1iLHD+mA0Gtq93y5FctIGFRUVpKSkNPzscDiw2+1UVFTEpih51113sWTJEqZNm9Zwbt68eVitVr73ve+xc+dOFi9ezM0333xawQkhhBCdrTYY4NfbP+PzwoP4wyEcJgs2owldB384xNuHtvFh3m7m9x7MXSPPxmJonxGMpTV1PP3BKrbmFRDSdFwWMzaTCV3XqfL6eOPLrfx7824unziC66aOw6Cq7dKv6LoSEhLYt28fSUlJxMfHt1gELysr68TIug7JSYUQQvREuq7z0Z79/GHtV1T6fJgMBhxmM6qiENI0NuUdZVPeUQYkJvDQwtn0T2yfh9aapvP2si2888k2ar1+rGYTNosJRYFgSOOLLTl8te0Qwwb24q4b55AY52iXfkXXt2vXLgoLCxt+1nWd3bt3U11d3XBu9OjRbW43qm9S2dnZuN3uJufdbjcHDx4EYNCgQZSUlETTvBBCCBET/nCIJzYvY92xHOIsdpKtzkaFIIfJTLxuozro573cXfjCQf5n7AKMp1kgrKjz8cg7n7D7aBFJLnuTJ94Oixld16mo8/GX9VvxB8N8d9akTpm2I2Lnueeew+VyAbB48eLYBtNFSU4qhBCiJ3p/1z5eWL0eTddJ97hRv5Hzua0WguEwB0pKeej95Tx14UL6xsedVp+6rvO39zfw9rKtWMxG0pM9jXJNG+B2WvEHQmzfe5Sn/rCMh24/hzi3/bT6Fd3DvHnzmiyXc8EFFzRaMiccDre53aiKkhMmTOD+++/n9ddfJzk5GYDi4mIeeOABJk2aBMD+/fvp06dPNM0LIYQQMfGPg1tYX3SIRKuz2bUjFUXBbbZiVFU+PXqAkfFpXNa/7U8FT/bK6q/ZXVBEL48Tk+HUU2EURSHeYUP1+nhn805G9kllWpbsPNyT3XjjjQCEQiEAzjnnHHr16hXLkLocyUmFEEL0NIfKylmy7it0HVJdzmavMxkM9Pa4ya+s4lefruH5y84/rQfWW3Yf4d1Pt2OzmPC4bM1eZzEbSU10cSC3mNff+Yo7b5gddZ+ie8jJyemwtqMqSi5dupSLL76YPn36kJGRgaIo5ObmMmDAAP79738DUFNTw8MPP9yuwQohhBAdxR8O8V7eLkyqIaLNbOxGM5UBH//J3clFmSOjHi1ZXFXD6n2HcVnMzRYkT+axWckvr+Kj7fukKHmGMBqN3H777ezevTvWoXQ5kpMKIYToaZbtOUCVz0+fuKYzAb5JVRUSHXb2FpWw7egxxvSO/uHlivV7CQTCJKU0Xwg9wWg04LJb+Xr7YYpKq0lJdEXdr+j6MjM77jtHVEXJIUOGsHv3bj7++GP27duHrusMHTqUBQsWoB7/UnbJJZe0Z5xCCCFEh1p3LIfCumqSrK0nYifEW2wcrilnQ0keU1Ki+7D+bM9Bqn0+0iNIPE9w2yxsyT3KoZLynrfxjSwqfkpnnXUWmzdv7tCksDuSnFQIIURPUuMPsHzvAWwmU8SjHm0mI6W1dSzfdyDqomRBUSVbdufjclgifo/TYaGwuJLVG7K5/JyxUfXbpUlO2imiXp1fURQWLVrEokWL2jMeIYQQIib2V5Wg6zrmCEYrnmA1mAhrtWRXlURdlNxbWIKC0mStoJY4LWbyK6rILirreUVJcUp33HEHP/7xjzly5AgTJkzA4Wi8sHw0C4v3FJKTCiGE6CnyKiqp9PmIs1kjfo+iKFhNRrYfLWz94mbk5JdS5wuQlhT5Q3JVUVBVlf2HiqLuV4ioi5IrVqxgxYoVFBUVoWlao9deeeWV0w5MCCGE6Ez+cCi6h5MKeEPBqPv1BoKoatvW/1EUBQUF//G1BnsSRa8/OrvPru6qq64C4M4772w4d7oLi/cUkpMKIYToKfyhEJqut+lhNdQXCH3B6PPCQKA+j2jrmpSqouD1R58Hd2WSk3aOqIqSjz32GI8//jgTJ04kLS1Ndv8UQgjR7dkMJqL6NNPBHsEalM1xWs2Ev1FIabVLXUdDx2aK+tmi6GY6coHx7kxyUiGEED2J1WhEVRTCmo4p8sk7aLqO3Rx9Pmox1+eUmqa36WF5WNOwW81R9ytEVN9mXnrpJV599VWuv/769o5HCCGEiFi13092WRl1wSBWo5H+8fHE25rfLbAlQ+NSUBUFfziExdD6x6Oma1QG69CVEKqqU1BXQZo9rs39DktP4dPd2YQ1DUOEm+VU+/w4LWYG90puc3+ie5K1JE9NclIhhBCxFtY19lcWUxnwoioqyVYnmc74qB6UZSbEkWi3U+71Yo3g4bOOTlD1UWespndaAvurjzLA2QuD0rYNGLMyk3DYzNTU+XE7I5s6rmk6ug7DBqa2qS/RvYVCIVauXEl2djbXXHMNLpeLo0eP4na7cTojX5v/hKiKkoFAgGnTpkXzViGEEOK0ZZeW8fH+/Sw/cIBKn5+wrqEqCm6LhTkDBrBo8CCGJretYDc5OZM+zjjyayvpZW9+PZ2gFqIqVENlqAZvOIBJVXnt4BrePPwlExIzWZg+gomJmagRJoOzhwzgz+s2U+n1k+CIrKBa5Qswe+gAesdHvu5Pt6Er9Udn99kN/L//9/946aWXyMnJYf369WRmZrJ48WL69+/PxRdfHOvwYkJyUiGEELFSHfTx6dH9vJ+3i0PVpYT0+pkvFtXIiPg0zssYzoxeAzCrkQ95tJlMnDNsEK9+ualhiZZT0dHwmquosZbjNdSgxWlsV6v5+bZ99LYnMi91NDOSh+MyRZZbJie4mDQqk5Vf7sPlsERUUK2u9eFyWJgxYWDE99etSE7axOHDh1m0aBG5ubn4/X4WLFiAy+Xi6aefxufz8dJLL7W5zbaVz4+79dZb+etf/xrNW4UQQojT8uHefdz13vv8bds26oJBEuw2ejmdJNnt+ENh3t65k3ve/4B/bt+Brke+MIvZYOCiviPQdJ3aYOCU13jDPnK9BRQHyvFrQVQU0mxxJFucGBSF1cf28/jWd/nt7hUEwpGt6xPvsDFveBa1gQD+CNYCKqutf3J+3ujBEd+b6P5+//vfc++993LeeedRUVHRsIZkXFwcixcvjm1wMSQ5qRBCiFjIrSnn3i/e4bkdK8muKsZlspJqc5FidWExGNlQkssvtnzMo5s+pCrga1PbC4ZkEW+3cay69pS5rKaEKHHlUuLKxWuqJhwGp2on3R6Pw2jhcG0Rf8xezqPb3+BIXUnE/c6bOgSb1UxFlbfVawPBEDVeP9PGDyAhztHq9aJnuOuuu5g4cSLl5eXYTpqddumll7JixYqo2oxqpKTP52PJkiV88sknjB49GpOp8doFzz77bFTBCCGEEC1ZfuAAi9euI6Rr9Ha7Gz3FNQAJdhvxupXSOi8vffU1qqpy2YjhEbd/ab/R7K0sZtmRvQS1MB6ztaEPX9hPvq+IkB5G0RV0IMnqIMnqQAHcqg23yUZN0McH+TvQgTuHzYtoxOSN08eTU1zGptyjxNttOMymJk+oNU2ntLaOsK5z47TxjM/sHfF9ie7vt7/9LS+//DKXXHIJTz31VMP5iRMnct9998UwstiSnFQIIURnO+at5uebPiCnupReNjemk0dCKuBULThNFryhIGuPHeQXW5bx+IRzsRoiW/Oxt8fNXbOm8cynqymsqiHZ5cB4fIkfDY1S5xG8liqUkIFwCGwmI5nxcRgUFYPBjNVgJqSFyak9xjO7/8VDI64gxRrXar8jBqVx1Xnj+ct/vqakvIYEjx31G0sL6bqO1xekvLqOkYPSuO6iSRH/uYnub82aNaxduxazufE6opmZmeTn50fVZlRFyW3btjF27FgAduzY0eg1WWBcCCFER6jwennxiy8JamFSnc5mP28URSHJYae4tpZXNmxkat8M0lyuiPowqir3j56D02jmoyN7OFJbgdVgwqwaKAmV4teCKKgYFYVUq4M0u6fJ5jhOkxVQWF6wi8lJ/ZmWktVqvw6LmZ9fPI/nPl7Dlzl5lNd6sZtNmI0GdF2nLhAipIXx2KxcN20cl4yLvNAqeoacnBzGjRvX5LzFYqG2tjYGEXUNkpMKIYTobK/u/4qDVaWk2z0NxcJTsRlNJCtOvi4+zHu5O/lW/7ER9zE7qz9GVeU3n6+nsKoGVVFwmE0EnBXUmCrRAyqqruCwmMiMj8NkaDxF3KgaSLXGkVdbzN8Or+bOIRdG1O+Fc0dhNhv523sbKSytxqiq2KwmFBSC4TB1vgAWs5EpY/pxx7Vn47BbIr4n0f1pmtYwW+dkR44cwRXh961viqoo+dlnn0XVmRBCCBGtzw7mUFrnJc3VfEHyZIl2O0erqllxIJvrxo2NuB+Lwcjdo2Zxcb+RLD+yj+X5+6gI1BDQgphVI0kWJwkWe4ub4ThNFiqDXpYd3RlRURLAZbXw8EVz2VNQzIpdB/h83yEC4TAK0CfBzaKRg5k1dADJrp49RUbR64/O7rOr69+/P1u2bGmy4c2HH37I8OFnbpFaclIhhBCdqchbzZrCbNwma4sFyROsBhOqovJB3i4uyRwd0XtOmDEgkzHpvViVfYgPdu0lr7ISr70CBYV4q4MEuw2nxUJzabFBUXGabGwoO0CRryKi0ZKKorBo5nAmj+7H2o3ZrFi/l7LKOjRdw2I2cvakLGZPHsTg/ik9/uGf5KRNLViwgMWLF7NkyRKg/u9LTU0NjzzyCOedd15UbUZVlDzZkSNHUBSF3r1lGpkQQoiOoes6H+zdh0FRIt6hWlUUzAaVD/bt46rRo5o8QW5Nf1ci3xs2lVuHTmHxruV8mL+dPvbId1J0m6xsKT9CXm0ZGY6EiN6jKArD0lMYlp7C7XOnUBcIYlRVrCZjj0/8uqMXX3yRZ555hoKCAkaMGMHixYuZOXNmq+9bu3Yts2bNYuTIkWzZsiWivu6//35+8IMf4PP50HWdr776ijfeeIMnn3ySP/7xj6d5Jz2D5KRCCCE62sqCA1QH/aTbPRG/J95iI7e2nI2leZyVnNn6G07islq4YMQQzh8+mE1lB3lq11E8pnisxsimgjuNNo75yllbvJtLM6ZG3G+Cx86Fc0dxwZyR+AMhQmENm9UUcR4ueqbnnnuOOXPmMHz4cHw+H9dccw379+8nKSmJN954I6o2o/obpWkajz/+OB6Ph8zMTPr27UtcXBxPPPEEmqZFFYgQQgjRHF8oREF1NXZzZAnYCXazmbI6L+Xe1hfsbo6qKOR7KzCrbSsMOoxmfOEA+XUVUfVrUFVcVgu2U6wvKWLvzTff5O677+ahhx5i8+bNzJw5k3PPPZfc3NwW31dZWckNN9zAvHnz2tTfTTfdxCOPPMIDDzxAXV0d11xzDS+99BLPP/883/72t0/nVro1yUmFEEJ0przacnR01DbkZlaDibCmc7S2Mup+FUWhJFCFhh5xQRLq81gdOOotj7pfq8WE026RgqQgPT2dLVu2cN999/H973+fcePG8dRTT7F582ZSUlKiajOqkZIPPfQQS5cu5amnnmL69Onous7atWt59NFH8fl8/PKXv4wqGCGEEOJUguEwmq5jUNtWnFMBHZ1g+PSKE4FwqE3JJ4CCgq7rBLWm666IFujHj87us42effZZbrnlFm699VYAFi9ezMcff8zvf/97nnzyyWbf9/3vf59rrrkGg8HAO++806Y+v/vd7/Ld736XkpISNE2LOvnrSSQnFUII0ZkCmobSZEXxCCicdk4Y0sPR9IyKQkALnlbfZ6RukpN2NpvNxs0338zNN9/cLu1FVep+7bXX+OMf/8jtt9/O6NGjGTNmDHfccQcvv/wyr776asTtfP7551x44YWkp6ejKEqT5PzRRx9l6NChOBwO4uPjmT9/Pl9++WXE7f/tb39DURQuueSSiN8jhBCi67GbzRhVtc3FxaCm1a+nYzG3fnELPGZbmxPJkF7ft8N4en2LzlNVVdXo8Pv9p7wuEAiwceNGFi5c2Oj8woULWbduXbPt/+lPfyI7O5tHHnmkzbHNnTuXiooKAJKSkhoKklVVVcydO7fN7fUU7ZGTSj4qhBAiUi6TBb2NlSNN19F1Hftp5oR2gwX9eHtt6h8dp9F2Wn2LM9e7774b8RGNqEZKlpWVMXTo0Cbnhw4dSllZWcTt1NbWMmbMGG666SYuv/zyJq8PHjyYF154gQEDBuD1ennuuedYuHAhBw4cIDk5ucW2Dx8+zH333RfR2k5CCCG6NqOqclZGHz7ev58EIk+qavwBpmb2xWO1nlb/ExP78XVJDuHjhcZIVAa9JFicDPWknVbfZ6JYLfKdkZHR6OdHHnmERx99tMl1JSUlhMNhUlNTG51PTU2lsLDwlG3v37+fn/70p6xevRqjse3p18qVKwkEAk3O+3w+Vq9e3eb2eor2yEklHxVCCBGpcYm9+dehbfjDoRY3PTxZddCHw2hmXOLprXk8wpOBw2ihJuTFbbJH9J6gFsKgqIyKa9talqJeV994pjNE+lBVUZRT7szdmqiKkmPGjOGFF17gN7/5TaPzL7zwAqNHj464nXPPPZdzzz232devueaaRj8/++yzLF26lG3btrW4FlM4HObaa6/lscceY/Xq1Q0jC4QQQnRfiwYP5tPsg3iDQWym1tfS8Yfqp1wvGjTotPuelTqYv+Z8SWXAS4Kl9d2vNV3HFw5yed/xp/1UXHSevLw83G53w88Wi6XF67+51qeu66dc/zMcDnPNNdfw2GOPMXjw4DbFtG3btob/vWvXrkZFz3A4zEcffXRGb+zSHjmp5KNCCCEiNTk5kz6OOPJrK+hld7d6va7rVAX9zE8fTG9H3Gn1nWKNY2JCFquKduAy2iJac7wiUEsvaxzjEwaeVt/izNXRa3RHVZR8+umnOf/88/nkk0+YOnUqiqKwbt068vLy+OCDD9o7RqB+qtSSJUvweDyMGTOmxWsff/xxkpOTueWWWyIaPeD3+xtN0aqqqjrteIUQQrSvcelpjOrViw35+aS5nC3uph3WNIpqahmWkszUvhnNXhepeIuDhenD+cehDXhDJmwtFBp1XeeYr5Iki5P56cNPu2/Redxud6OiZHOSkpIwGAxNRkUWFRU1GT0JUF1dzYYNG9i8eTM//OEPgfoET9d1jEYjy5Yta3YK9tixY1EUBUVRTnmNzWbjt7/9bSS31yN1dk7akfkoSE4qhBBdnUk1cFm/0fxm5+dUBXy4zc3PxtF1nWJfDU6jmYsyR7ZL/+ekjWdD2QFKA9Ukml0tFiZrQj40dM5Nn4hZjar0I0SHi2pNyVmzZrFv3z4uvfRSKioqKCsr47LLLmPnzp386U9/atcA33vvPZxOJ1arleeee47ly5eTlJTU7PVr165l6dKlvPzyyxH38eSTT+LxeBqOb07fEkIIEXuqovDQnFkMSU6isLqGar8f/Rtr6ui6To0/wNGqajLj4/j53DlYopgqeyo3DJjGjJRBlAVqKQ/UoelNnxr6wkGOeitxmmzcM3whve3x7dK36FrMZjMTJkxg+fLljc4vX76cadOmNbne7Xazfft2tmzZ0nDcdtttDBkyhC1btnDWWWc121dOTg7Z2dnous5XX31FTk5Ow5Gfn09VVVW7LTTeHXVWTtoZ+ShITiqEEN3BRX1Hcmm/UdSE/BT7agidYiRZIByiwFuFQVG5fdgMxiS0z6yGIe7e3DRgHkbFQJGvkoAWanJNWNco81dTG/JxTq9xLEob1y59CwGwYsUKLrjgAgYOHEhWVhYXXHABn3zySdTtRf1NLT09vcmOhlu3buW1117jlVdeiTqgb5ozZw5btmyhpKSEl19+mSuvvJIvv/zylDtOVldXc9111/Hyyy+3mCh+04MPPsi9997b8HNVVZUkgUII0QUlOxz83znn8Py6dXx9JJ/8qiqMqgGDqqDpOoFQGJvJxJS+Gdw7YzppLle79W02GPnJyHNJyXaz/OguCryVqIqKSTWg6zoBLYRRNTDQlcztQ2YzKr5Pu/Utup57772X66+/nokTJzJ16lSWLFlCbm4ut912G1CfW+Tn5/P666+jqiojRzYeIZGSkoLVam1y/psyM+vXgOroqTPdWWfkpJ2Rj4LkpEII0R0oisIdw2aSZHXy94NbKPRWoVCfK+o6BLT6JYR62z3cOmQqs9Ky2rX/OamjsRut/CVnJQW+cnRdx6QaAOX4xow6HrODb6VP5JI+Z6FGuB66EK154YUXuOeee/jWt77FXXfdBcAXX3zBeeedx7PPPtswI6gtuvwYXofDQVZWFllZWUyZMoVBgwaxdOlSHnzwwSbXZmdnc+jQIS688MKGcyeSeKPRyN69exk4sOlaChaLpdV1o4QQQnQNSQ47TyyYT05ZOcsPHGDz0QJqAgHsJhOje6WyYFAWgxITI1pnp63MBiPfHzyLy/tOYNWxvXxRfJDKoBeTYqCfM5G5acMYm5AR8WY44hT040dn99lGV111FaWlpTz++OMUFBQwcuRIPvjgg4YiYkFBAbm5ue0W4muvvUZSUhLnn38+AA888ABLlixh+PDhvPHGGw39io7RGfkoSE4qhBDdhaoofHvAeM7rM5zPC7P5vPAAJb5aVEUh3e5hXvpgpqT0i3gznLY6K3Ew4+IHsLksm9XFuyj0lhPWNRIsTs5KHMLUpKG4TLLj9mnpJjlpZ3ryySd57rnnGhUf77zzTqZPn84vf/nLnlmU/CZd1xuttXOyoUOHsn379kbnfvazn1FdXc3zzz8vT5qFEKIH6Z8Qz/cmT4pJ30lWJ5dnTuDyzAkx6V90DXfccQd33HHHKV979dVXW3zvo48+esqdvZvzv//7v/z+978HYP369bzwwgssXryY9957j3vuuYe333474rbE6ZN8VAghBIDbbOWCviO4oO+ITu/brBo5K2kIZyUN6fS+xZmpqqqKRYsWNTm/cOFCfvKTn0TVZkyLkjU1NRw4cKDh55ycHLZs2UJCQgKJiYn88pe/5KKLLiItLY3S0lJefPFFjhw5whVXXNHwnhtuuIHevXvz5JNPnnIaVFxcHECr06OEEEII0QXIU+lTysvLIyurfvrXO++8w7e+9S2+973vMX36dGbPnh3b4Lo5yUeFEEII0YTkpE1cdNFF/Otf/+L+++9vdP7f//53oxkibdGmouRll13W4usVFRVt6nzDhg3MmTOn4ecTa+jceOONvPTSS+zZs4fXXnuNkpISEhMTmTRpEqtXr2bEiP8+hcjNzUVVZZqcEEIIIXoup9NJaWkpffv2ZdmyZdxzzz0AWK1WvF5vjKPrfO2Zk0o+KoQQQgjRumHDhvHLX/6SlStXMnXqVKB+Tcm1a9fy4x//mN/85jcN1955550RtdmmoqTH42n19RtuuCHi9mbPnt1k59STRTIVaeXKlS2+3tr0KSGEEEKIrm7BggXceuutjBs3jn379jWsLblz50769esX2+BioD1zUslHhRBCCCFat3TpUuLj49m1axe7du1qOB8XF8fSpUsbflYUpWOKkn/605/acrkQQgghhGgHv/vd7/jZz35GXl4eb731FomJiQBs3LiRq6++OsbRdT7JSYUQQgghOldOTk67t9ntNroRQgghhDjTxMXF8cILLzQ5/9hjj8UgGiGEEEIIIU6fFCWFEEII0XXIouLNqqioYOnSpezevRtFURg2bBi33HJLq1OZhRBCCCFEG0lO2oSu6/zzn//ks88+o6ioCE3TGr0eyZI33yQrcgshhBBCdHEbNmxg4MCBPPfcc5SVlVFSUsJzzz3HwIED2bRpU6zDE0IIIYQQPdxdd93F9ddfT05ODk6nE4/H0+iIhoyUFEIIIYTo4u655x4uuugiXn75ZYzG+vQtFApx6623cvfdd/P555/HOEIhhBBCCNHZXnzxRZ555hkKCgoYMWIEixcvZubMma2+b+3atcyaNYuRI0eyZcuWiPr685//zNtvv8155513mlH/l4yUFEIIIUSXocTo6Oo2bNjAT37yk4aCJIDRaOSBBx5gw4YNMYxMCCGEEKLn6Q456Ztvvsndd9/NQw89xObNm5k5cybnnnsuubm5Lb6vsrKSG264gXnz5rWpP4/Hw4ABA9oYZcukKCmEEEII0cW53e5TJph5eXm4XK4YRCSEEEIIIWLp2Wef5ZZbbuHWW29l2LBhLF68mIyMDH7/+9+3+L7vf//7XHPNNUydOrVN/T366KM89thjeL3e0wm7ESlKCiGEEKLr0GN0dHFXXXUVt9xyC2+++SZ5eXkcOXKEv/3tb9x6661cffXVsQ5PCCGEEKJniWFOWlVV1ejw+/1NwgsEAmzcuJGFCxc2Or9w4ULWrVvX7G396U9/Ijs7m0ceeaStfyJcccUVlJeXk5KSwqhRoxg/fnyjIxqypqQQQgghRBf3q1/9CkVRuOGGGwiFQgCYTCZuv/12nnrqqRhHJ4QQQggh2ktGRkajnx955BEeffTRRudKSkoIh8OkpqY2Op+amkphYeEp292/fz8//elPWb16daMlgSL1ne98h40bN3LdddeRmpqKopz+IkhSlBRCCCFE1xGLkYvdYKSk2Wzm+eef58knnyQ7Oxtd18nKysJut8c6NCGEEEKInieGOWleXh5ut7vhtMViafYt3ywM6rp+ymJhOBzmmmuu4bHHHmPw4MFRhff+++/z8ccfM2PGjKjefypSlBRCCNEjldbU8dneg3ydk0dhZQ3ltXWgQ5zdRlqci3F905kzdCCpHme79nvMV8a6kp3sqjyMN+zHajAzyNmb6cmj6GNPbte+RM9XV1fH/fffzzvvvEMwGGT+/Pn85je/ISkpKdahCSGEEKIVwVCYrw8cYfWug+QXVVJxtJpguR+3yUxKvIu+GYlMn5LFsCFp7TLq7ARv2M/Gsr1sKNtDebAaFZUUazxTEkcw2jMAg2pot75E+3O73Y2KkqeSlJSEwWBoMiqyqKioyehJgOrqajZs2MDmzZv54Q9/CICmaei6jtFoZNmyZcydO7fFPjMyMlqNq62kKCmEEKJH8QVDvLJmA8t3HaCs1kut108wHEbT6x89KkoFO/OP8WV2Hn/7chtnD+nP92dPxmExn1a/VcFa/nLoEzaW76U25MegqBgUFU3X2Fl5iI8Lv2aUZwA39D+HREv7fpiLnuuRRx7h1Vdf5dprr8VqtfLGG29w++23849//CPWoQkhhBCiBat35fD/Vm7kSHEl/qN16KUB9KAGQKGikK0Ws3VnHqtW76F/v2RuuHoag7KaFpPaQtd1Pjm2gfeOrqMsUIWu65hUIzqwvzqPL0p2kmZL4MqMuYxPGNIOdylixWw2M2HCBJYvX86ll17acH758uVcfPHFTa53u91s37690bkXX3yRTz/9lH/+85/079+/1T5//etf88ADD/DSSy/Rr1+/074HkKKkEEKIHsQXDPGL9z5l/cFcTKoBrz9ASNMwGQyoioKiQFjXCYU1avwBbGYT72/bw9GKSh65eD4ua/NTI1pSGajh13v/zv7qfJxGK72s8Y2eduu6Tm3Yx1dleyj0lfHjoVeSYo1vr9vuURS9/ujsPruqt99+m6VLl/Ltb38bgOuuu47p06cTDocxGGSUgxBCCNEVfbBxDy8v+xJ/IIR61I9SFEA1KKgOE4qioJ/IR7UgFs3Evv2F/Or5j/jR7fMYObxPVH3qus4/8j7j/aPrURWFRLMH4zdGRAa0IPneEl488A439j+Xmcmj2+N2e6TukJPee++9XH/99UycOJGpU6eyZMkScnNzue222wB48MEHyc/P5/XXX0dVVUaOHNno/SkpKVit1ibnm3PddddRV1fHwIEDsdvtmEymRq+XlZW17QaQoqQQQogeZMnnX7H+YB7xdhv5ZZUEQmHMBkOjAqFBUVCNCoFQmLJaL30T49icW8Dzy9by0IVz2jx1Rtd1/pD9H/ZXHyHJ4sGkNv1oVRQFp9GGTTWTW3eM3+1/h5+NuP6U1wpxsry8PGbOnNnw8+TJkzEajRw9erTJIuhCCCGEiL3NB/P54/Kv0HQda0WYqiIvqllFNaoN1yiKgsloIBTWKKvz0ifRQ1W1l9+//BmP/M/FpCS3fVbN58Vb+aBgPVaDGZfp1GtOm1UTKZZ4SgNV/PnQx6Ra4xnsknyiu7rqqqsoLS3l8ccfp6CggJEjR/LBBx+QmZkJQEFBAbm5ue3W3+LFi9utrRPk25AQQogeobCymhW7s3FaTPiDYbyBEKZvFCRPUFAwGw34QyHqAgHibFa+OJhHdnEZWSmJbep3b3UuOysPEWd2tlpkNKgGEi1usmuOsrUim4kybUa0IhwOYzY3XlrAaDQ27MAthBBCiK7l3a93UecPkOpyUHC0HMWgNCpInsxoUAkEw5RW1zEgNYFjRVWsWrOXKy6d1KY+w1qYjwu/RNP1ZguSJyiKQqLZTaGvjBXHNkpRspu74447uOOOO0752quvvtriex999NEmu3q35MYbb2xDZJGRoqQQQogeYcWebGr8ftI8LnKKylEAtYVRjwr107lLa+oYnJJEhbeKT3cdaHNRcnXxdoJaCKvqiuh6s2pCR2NV0RYpSopW6brOd77znUa7Lvp8Pm677TYcDkfDubfffjsW4QkhhBDiJIeLy9macxS33Yq3yIsW0DDYWl5uxWhQ8QaCeAMhzGYjq9bs5cJzx2K1mlp838l2VOaQ7y3BY4psA8cTs3g2l++j2FdBsjUu4r6EAPB6vQSDwUbnotkE59TleiGEEKKbWXcgF6NqIKRpeANBDGrrH3FGVSUQCuMLhbAZjazef7hNfYZ1jU1l+7AazG2a9m03WNlTlUt1sK5N/Ykzz4033khKSgoej6fhuO6660hPT290TgghhBCxt/ngUbz+EE6rGW+pD6DVHFE9vsZktc+P22WjrKyW/dnH2tTvjqocQloYiyHyQqbDaKMu5GNnVU6b+hJnrtraWn74wx+SkpKC0+kkPj6+0RENGSkphBCiR6jy+jAZVDTt+C7btF4krF9oXCOs6xgNKnX+AKGwhtEQ2TM7b9hPSA83WUS8NUbVgD8cpC7sa3WKzZmmOywq3pn+9Kc/xToEIYQQQkSo1hdAUepzzHAgHNkwsOMpq6ZpGI0q4bBGXZ2/bf2GvG2OtX4TSIW6kK/N7z0TSE7a1AMPPMBnn33Giy++yA033MDvfvc78vPz+cMf/sBTTz0VVZtSlBRCCNEjGA0quq6fVIrUIYLCJIqCCoR0UFUFgxr5iEejYkCh/ul2W9RfrmBU5GNYCCGEEKKnMJ30YFtRlfp0NCLK8Yfl9QVNo7FtD7xNp5FTGpS29SXOXP/5z394/fXXmT17NjfffDMzZ84kKyuLzMxM/vKXv3Dttde2uU2Zvi2EEKJH6J8Ujy8UwmQ0oKoK4ZMKhXozGWFY01GP735YFwzSNyGuTdOwLaqJJIsHXzjQpli9YT8uk01GSZ6KHqNDCCGEEOI09YqvX2M8GApjcphA0//78Lq5nOP4ObPRgNcbwGIxkprStrX5Uq3xKIDWhgflAS2IgkKKNbpptz2e5KRNlJWV0b9/f6B+/ciysjIAZsyYweeffx5Vm1KUFEII0SPMH56FQVEJaRpxdhshTcMXDFLrD1Dnr///3mCQoBZuKFKGNQ2PzYJ6fETlOSMHt6lPRVGYlTKWsK4R1rWI3qPrOkEtxNnJYzC3slu3EEIIIYToPiYNyiAlzkllnQ9HLzuoCsFAGK8/SJ0/UH/4ggSDYfTjSw6FNA2DQcVjt1Jd42XYkDT69E5oU7+TE4dhN1qpCUW+XnlVsJZe1kRGeQa0qS9x5howYACHDh0CYPjw4fz9738H6kdQxsXFRdWmFCWFEEL0CJP69SEjwUNRVS01Pj/hsEYw3LhQGNY0/MEQ3kCQQDiEoijE2W0U19SS4nIwfVBmm/udkjQcj9lJeaA6ousrgjXYjVamJ41sc19nBHkqLYQQQohuymY2sWDMIPzBEGVhP36jTsgXQjspJ9V1nUAoTF0gSCAQIqxpxNmtBAJhVFVlztlD29xvkiWO8fGDqQ15I3pQHtCChHWN2Slj27w2+hlDctImbrrpJrZu3QrAgw8+yIsvvojFYuGee+7h/vvvj6pNKUoKIYToEUwGA9dPGUe110dNIIBBVaifia0fX3D8vwt6a7qOPxTGYTbhDQQxGw18f/ZZOCzmNvfrMTn4dt+5qIpKmb+q2fUldV2nMlBDSNe4tM9Metna9gRcCCGEEEJ0fRdMGobdZOJYRQ3BZCOYVNQQxwtO9bmootSvNxkIh1FQcJrNVFbWMW1KFhPG94+q38v7zCbdlkyRr5ywFm72ukA4SKm/imHufsxJGR9VX+LMdM8993DnnXcCMGfOHHbv3s0bb7zBpk2buOuuu6JqU+aNCSGE6BF0XWflzoNYFCOaEYLhMKpWv7aOrun1e97o/30AqQLVXj/xdht3zZ/O2UOiSwABZqWMIaiF+FvupxT6yrEbzDiNNlRFRUOnNuSlLuTHajDzrYxZnJd2VnvcshBCCCGE6GI27z+Kvy6E3WQioIYJ9DJiPhZCCeroig4GpWEpIVVX0HwhyipqWTB7OLfeeDZGQ3Rjx5Ktcdw1+Fu8sP9tjtQVYVANuI0OzKoRHfBrAaqCdYDOKM8Abs+6BJvR0n43Ls44mZmZZGa2fabZyaQoKYQQokc4WFTGxkP59HI5MRoNlNXVUeb1EgiFCWtaQzVSVRQMioLJYEBFYd7QgcwfkXXa/c/vNYH+zjQ+L9rKl6W7KA1Uoen1G+nYjVZmp4zl7JTRDHWf3ge3EEIIIYTomnRd54Mvd6MAQ1KTqPD6KDXX4TUHUCvDGKvCKCEdVQeDqmAwGlCcBlz9PNx609lYzabT6r+PPYX/GX49a0u2s6poM4W+ckJaCBQwKyYGufowK3ksUxKHYzG0fYaQODN9+eWXlJWVce655zace/3113nkkUeora3lkksu4be//S0WS9uL3FKUFEII0SOs2HkAbyBIgsOGoiiku92kOp3UBoNomkZI01AAg6qiKip2s4nyGi8bc/LxBoLYTjMJBBjoTGegM53LMs7mUE0BPi2IRTWRYU8h0dK2XRSFEEIIIUT3sju3iP1HS4hzWjGoKokOOwl2G3XBIMFUDT2sodeFMaOiGlSMViOYFcpqvGzNPspZw07/4bXb5ODctCksTJ3EgZp8qkJ1qCgkmF30c6TVTx0Xog0effRRZs+e3VCU3L59O7fccgvf+c53GDZsGM888wzp6ek8+uijbW5bipJCCCF6hE2HjmI2GholWgZVxd3CEzu3zUJpTR2HSsoZlp7SbrF4TA7GxJ/+6MszUiwW+e7ii4oLIYQQonvYm1dEIBgmyW1vOKcoCg7zSaMSnU3fF9Z0ducVtUtR8gSDamCIu2+7tXfGkZy0wZYtW3jiiScafv7b3/7GWWedxcsvvwxARkYGjzzySFRFSdnoRgghRI9Q6w9gUNv2sWZQVTRNxxsIdlBUQgghhBDiTOENBI9vsNjG0Yi6jtcv+ajomsrLy0lNTW34edWqVSxatKjh50mTJpGXlxdV21KUFEII0SPYTCa0Zna+bo6m6yiqgtUkEweEEEIIIcTpMZuMRDc5WsFqlnxUdE2pqank5OQAEAgE2LRpE1OnTm14vbq6GpMpuqWw5G+9EEKIHmFo72RyisvQdT3ip9M1Pj8uq4U+CZ4Oju7UqoJ1VAZr0XQdj8lOnPkU83nONDJVRgghhBDdVL/UeFRVwR8MYYnwoXcoHEZRIDM1oYOjOzV/OMSx2hr84RA2o4k0h6vNs496JMlJGyxatIif/vSn/N///R/vvPMOdrudmTNnNry+bds2Bg4cGFXbUpQUQgjRI8wfkcWKHQfwBUMRbVqj6/XTts8dMwS3zdoJEdbTdI2dlbmsKtrOxvL9BLUQAEbFyOi4fsxOGc3ouP4YVUOnxSSEEEIIIU7f2IG9yUiOI6+4gtR4V0Tvqaj1kexxMLUd15OMxNGaKpYdOsCHB/dS6qtD03UMikofl4cLBg5hXt+BxFltnRqT6Jp+8YtfcNlllzFr1iycTievvfYa5pPWSX3llVdYuHBhVG1LUVIIIUSPMCqjF4PTktmeV0h6nBtVbXm0ZFmtF4fFzIKRnbchjTcc4I/ZH/FFyW4CehiHwYLDYEVBIaAF+aJ0D1+X7WNs3ADuGHQBLpO99UZ7GEWvPzq7TyGEEEKI02U0qJwzcQhL3v8Crz+IzdLyg3J/MIQ/EGL+jMGtXtuePjy4l99u/oJKvw+zwYDLZEFVFMK6xsHKMp7bsJY3dm/joamzGZeS3mlxdSWSk/5XcnIyq1evprKyEqfTicHQePDEP/7xD5zO6GZ8yZhcIYQQPYKiKNy9aDq9PC4KKqoJhcOnvE7XdUqqawlrGjfOnEBWr6ROiS+ohXhx/3/4vGg7doOFdGsCHpMDZHJ95AAAe+JJREFUq8GMxWDCZbLz/9m78/g66vve/6/vzJz9aJcsyfuOjQ0GzE7YAhhIQrY20KQtaULa5JK0JbS3DTe9v9DcJNxfm1B6m5J9vU0ovzZkLYQ4gMO+GQMGjLHxIi+yZa1HOvuZ+f7+kG0Qlm3Jls6RrPfz0Umjo/nOfGYysj76zHdpjdZT7cV5tmcT/7Txp2T9QlliExEREZGxcdXZSzh/2Ty6+zMMZPPYw8x5ns0X2deX5vSFM3j/haeULb5fb32Nrzz7KJlikRnJaprjSeKhEFHPIxEK05qoojVRxZ50P//Po7/lxX17yhabTGw1NTWHFCQB6uvrh/ScHA0VJUVE5IQxp7GOW3/vcuY01dKRSrO7J8VALk+uWCRbKLKvP82unhQh1+VPLz2b9555ctliW71nHU93vUZduIq4d/jh4lE3TGO4mvV92/nFrifKFp+IiIiIHL+Q63LT713I5WcsJlsosbsrRe9AlmyhSK5QpC+dY1dnilQmz/knz+Vvr7t0RFMPjYXdAyn+5bknKAWWlkQS5zDzsLuOw4xkNT35LP/v0w+T90tliU+mHg3fFhGRE8rC5gb++Y+v4bHXtnPfCxvZ0tFNrljCGENdPMaqUxZx6cnzmdVQW7aYSoHPA3ufxzGGmHv0t4hhJ0TECbFm73rePeO8EbURERERkYkhFg5x0/sv5PIzFvHg85t58pXtpHODI2BCrsvFp87nsjMWcdqC6WVdVGb1ts305nPMSFYfdV9jDNNiSXakenli9w4umTWvDBHKVKOipIiInHASkTCrTlnEFcsX0pFKkykUCLsuDVUJoiNcCXEsre/bxu5sFzVeYsRtarw4nYUUT3dt5OJp5RvSIyIiIiLHzxjDKfNaOWVeKx+98ix6BnKApToepTZZ/gVk8n6Je7dsJOy6h+0h+VZh1yXAcu+WjSpKyrhQUVJERE5Yxhiaa45t0uWx1JbuwLcBEXfkQ3M8x8Vi2ZHZN46RTTyaVFxERERONFXxKFXxw0/fUw4d6QG6chmqQqMbgRP3wmzo6sBaixlhMfNEoJy0PDSnpIiIyDjLByUMo0/iLJZCUByHiERERERkKsn7PoG1OGZ0ZaDBVbkthWD4RSRFjod6SoqIiIyzuBvGYkf9htlgiLmRcYxsArL7t3KfU0REROQEFguFcI2Db4NRtfODgEgoRNg5dNXlE5py0rJQT0kREZFxtqhqBmHHIxcURtymEBRxjMPiqhnjGJmIiIiITAUt8SSzqmtIFfKjapcpFTm7ZeaUGrot5aOipIiIyDhbXDWDBclW+oqZEbfpLaaZHq1nRe38cYxMRERERKYC13F41/wl+EGAH4yst2S2VCTsulw1f/E4RydTlYqSIiIi48wYw6qWlbjGITWCwmS6lCOwllWtZ+BN1aEy5d5ERERETnBvnz2f1mQVe9L9WHvkBMgPAvZl0ixtaOL0adPLFOEEopy0LFSUFBERKYPzG5fyzulnkfXzdBf6CYaZz8daS18xTaqU4dJpp3JFyxkViFRERERETkS10RifPfdSaqMxdg2kKPilYffLlorsGkgxt6aOvzv3UhwN3ZZxooVuREREysAYwwfnXELci/LLXU+xJ99LyLiEncFfxcWgRMH6JNwI75lxLtfNvhh3lKsjngjM/q3c5xQRERGZCk6b1sqXLlzF/376YXakegmsJR4KD66yHQRk9g/ZPq25lc+eeynTk9WVDrkilJOWh4qSIiIiZeIYh/fNPJ+LmpbzROcGftexnu5CPwB10Vre1rSctzUtozlaW9lARUREROSEdUpTC9+96v08uXsH/7VlIxu6OvCtJRoKccmseVw1fzGnT5uuHpIy7lSUFBERKbOGSDXvmnEO75pxDr4NsNZOvbkjRURERKRiIq7HxbPmcfGseVhrKQYBIcfRKttSVipKioiIVJBrnKk5VkNEREREJgRjDGFXL8il/KbeZFUiIiIiIiIiIiJSUeopKSIiIhOH3b+V+5wiIiIiIgcoJy0LFSVFRGTC6UvneHpTG939WSyWmkSMsxfNoqEqXunQRqUYFNiafonewj58WyLixJmTWEJDpLXSoYmIiIjIEZT8gBc272b73m4KRZ9YJMSS2dNYPKtpUs27aK1l88AeXu3bRdYvEHY8ZiUaWVE7R3OaS8WpKCkiIhNGe3eKnz31Mg+/vIXedO7gVIsWqIpFeNvJ83jP2SczZ1pdJcM8qryf5bmeh3ip73H6il2A3f9/lrATZXb8JM6ov5Q5iaWVDnXi0VtpERERqaBiyefXT7/Kb555jR0dPfi+xRiwFsIhl8WzmnjHuUt52ynzJnRx0lrLE52v8evd69jYv5uCXzwYr4NhRryBK1pPZVXraYQdlYYOoZy0LPTkiYjIhPDarn3c9pOH2N2dIhEJ0VybxHUGpz4OAksqm+O/nt3AM5t28N/fdzGnzp2YvQ0HSr38ate32ZHZhGdCJN1aPCcEDCaH+SDD5oEXaMts5OJp7+e0uosrHLGIiIiIAGTzRe74j4d54uVtGGOoTcaIhAfLJtZasvkiL23dw6ttHWzZ3cX1V545IQuT1lru2v4oP9vxNEXrU+PFqQ8lD8aa94vsynTzndcf5KXeHfzFSe8g7kUqHLVMRVroRkREKm53d4rbfvIQ7d0pWuuqqEvGDxYkARzHUJuIMb2+mq5Umn+4Zw1b93ZXMOLhFYI8/7Xre7RlXqPKq6cqVH+wIAmDKxtG3QS1oWkENmBNx094NfVsBSMWERERERh8CX7nzx7jsfVbqUnGaK6vOliQhME8Lh4N09pQTSTkcc/D67nn4fUVjPjwfrVrLffseIqQ49EarSPuRYYUTyNuiGnRGupCCZ7sfI2vbbof3wYVjFimKhUlRUSk4n765Evs7k7RUlc1pBj5Vo4xNNdVsS+V5u5HXyhjhCOzMbWWHZmNVHtDi5FvZYwh6dXiB0Ue2/cLSkGxjFFOArbMm4iIiEx567e08+j+gmQscvg8DqA6EcXzXH7yuxfpTmXKFOHI9BXS/OeOJ3BxqAkdeT72qBumdn9hcn3v9jJFOIkoJx13KkqKiEhF9aazPPLyVhKR8BELkgc4xlAdi/DMpp20d6fKEOHIWGtZ3/cYGIPnhI+6vzGGhFdLT3EfW9MvlSFCERERETmcB5/bRLHkk4gdPY8DqEtGSWXyPPLilnGObHQe27eRVCFDbTgxov3jXoRi4PPgHuWjUn4qSoqISEU9ubGNvkyO6vjI57FJxiKkc3me2Dhx3uh25NvoyLURd6tG3MZzQlgbsEFDuA8yFdpERERk6uodyPLUhjYS0ZEVJAEcx8F1DQ8+t3kcIxu9NR0v4xgH14y83JP0oqzt3kJ3fmAcI5tclJOWh4qSIiJSUd0DGYxhRL0kD3CMwRhDV//EGS4zUOyjGBTxzMiTWQDXhEgVO8cpKhERERE5mp7+LMWSTyR85GHbbxUNeXT2pQmCiTH21lpLR66PyBGmERpOxAlRDEr0FtPjFJnI8FSUFBGRirKBPbY5VKzFToz8DwB7HBPBHE9bERERETleg9nYsfRUs9ZOsFzu2GMJJlJyLVOCipIiIlJRtckYltElQYPJn6EmHh2/wEYp7lXhGQ/fjm7RGt+WqPLqximqSajcE4pP4YnFRUREZFBNIkbIdckXS6NqVyj51CZjoxrxM56MMdSFqygEo7yOoITnuEddGGdKUU5aFt7RdxERERk/Zy2aRTIapj+ToyYRG1GbgVyBeMTj3JNmj3N00Ffs4aW+dezL7aVoC8TdBHMS8zmpajmhNy1o0xKdQ32khc78bmqckc2P6dsSxsDiqjMOflYKfJ7vbuPZ7m305jN4jktLrIaLmhczO9Ew5tcnIiIiMtXVV8c5beF0Hn9pG9WJkb30DqylWPK55PQF4xzdYNHw2a7NvNzXxkApS8QJMT1ezwWNJ9MUrR6y70XTlvKDLWsIrMUxI+v7OVDKclbDwiHHauvpZc3mrbSn+imWfGpiUc6aPZMzZ8/AmyBFWJn8VJQUEZGKmlaT5LyT5nD/uteoikePmjxZa0llcpy3ZA5zpo1fD8NUsZcH9t7Lxv71ZP0M1oIxg+d/pvtRasMNnF3/Ns5tuBjHODjG5dTaC/jtnn/HtyVcc/RfselSH9VePQurTsNay4N7NvCT7WvZnu6iZH0MhgPDiX6yfS2n1c/i+vnnM6+qadyuu9KMHdzKfU4RERGZ2i5buYgnX9lOLl8kGjn6nIypdI5ENMJFK8avKOnbgPt2r+W+9rV05PrwbYCDIcBiMNyz4wnOaljEB+dcRGNksKD4tqal3LPjSfqKGepGsAJ3zi/iGIfLWk4BYFt3D999ci1rd+4mXSjsH9JusNby85c2MLuulmtPW86VSxZhRlj0nIyUk5aHipIiIlJx7z13GWtf38nenn5a6qoOm+BYa+noG6A6HuX3zz9l3OLpzu/j39u+y57cLmJunLpQA86bVjAsBSX6i738Zs/P6ci1c82M63CNy9Lqs1nf+wR7ctuoCTXhGvew58iUUgCc3XAlIRPmrq1Pcde2p/BtQF04TtR9Ixm21jJQyvNYx2Y293fwmeXvYFntjHG7fhEREZGp5ozFMzl98Qye2bCDptoE4dDhyyXpXIFsrsjvXXwqLfVV4xJPKfD59uu/4YG9L+Iah/pwkpDzRkyBtQyUsjy0dz2v9+/hvy99HzPiDTRFq7mq9XR+suNJ0iWXhHf4np+FoERXoZ8z6uZxRv18XtnTwefvf4j2VD+1sSgza6qH5OX5Uom2nl6+8tBjtKf6+ZOzzzihC5My/tTnVkREKm5+SwN/9d6LqE3G2NWdoj+bx75pjklrLQPZPLu6U8QjYf7iXRewbHbLuMSS93P8x84fsie3i7pwAwkvOaQgCeA5HjWhOuJugnW9T7Om49cARN0E18z4GNMis+gr7iNdShHYYEjbQpCnt9BByZY4p+EqVtRexOr2V7hr21OEHJfWWM2QgiQMzg9UFYoyI17Lvlw///DyfezJ9o3L9Vec5u8RERGRCvBch09/4GJWLJhOZ1+arlSGkv+WPK5YoqNngP50nsvPXMQfrVo5bvH8ZMfj/HbPCyS9KI2R6iEFSQDHGKpDcZqjtbRl9nHHxl+QLuUAuG7OBVzecioDpRwduT7y/tA5z0uBT3dhgM58iuU1M/nLJe+kO53ji6vXsLe/n5m11VRHI4cUHCOeR2t1FdGQy4/Xvsh/vfLauF1/xSknLQv1lBQRkQnhjAUz+fsPruLuR1/gudd3sbt7sCchxmCsJRoJce7i2XzgglNZPmd8CpIAL6eeZ3d2B7Wh+iP2dASIujGKtsgz3Y9xdv3bqArVUBeexu/P+nOe7LqPV1PP0lfcN6SNazyaY3NYWXcZS6vPomR9/mP7MwQ2oC585DftjjG0xqrZne3j17vW8ycL33bc1ysiIiIig2oSUT57/eX85Hcv8uBzm9jXM7C/TjT4n67jML2xmqvPWco7z1s6bgvc9BbS/Lr9OSJu6Ig9HQFc49AUqWHrwF4e3/cqV7Sehue4fGLRKuYmpvHr9nXsynQTFAIsg9MRYQ31kSTvnH4G7599Dgkvyg+ef45dvSmm11QddTql2liMPcUB/v25F1l10gLCnkpLcmz05IiIyISxaHojf3ftZezs7OXxV7fT3Z8BoDoR5byT5jCvuX5cz2+t5bnuJzEM9oYciYSbpKfYxUt96ziv8RIAkqFaLm/5IOc1vpPX+tfSW+jEtyUibow58aXMjC862Pvy2c5t7Mr0UD+COX8AHOMQdUM8sGcD1849i7g3skV1REREROToEtEw1195Jr938ak88fI22vb0ki+ViIVDLJkzjZWLZxLyjvzi+ng91rmBVDFLc7RmRPuHHBdjDA/sfYHLWk7dP9+5wztmnMGq1hWs69nKq6ldZEsFwq7HrHgj5zYuOljwzBaL3P/qJqIhb8SF1vp4jPZUP09s28HFC+cd87XK1KaipIiITDgzG2u59m21ZT9vR76dPfldJNzkiNs4xsHB4eXU8weLkgckvGpOr7v0iO2f6tyCbwMi7sh/JdeGYnTk+3mhZwfnNS0ccbvJwOzfyn1OERERkTdLRMNcvnJxRc79ZOdGHGMOmULoSKpDcdrS+9ie3se8ZPPBzz3H5ayGhZzVcPic8cXde9jbn6YpGR/x+cKei28DHtu6/YQsSionLQ/NKSkiIrJf1s/gB/6Ie0ke4JkQA8XUMZ2zO5/GHUXCCYPJpbWQKuaO6ZwiIiIiMnH1FAYOmUPyaELGpWR9+kvZUZ+vL5vHtwHeKIeje45DV3r05xM5QD0lRURE9nNwMAasZVSvKi12VG+y32ywIDn6Wa3twbYnmEpM8j0FJxUXERGRics1zv6EdLTMMeWHrmOO7XQw6kLmpKGctCxO0KdHRERk9KpCNXgmRCHIj6pdyRapCzce0zlbYzX41g5Zbfxocn6RkOPQGBn5MHMRERERmRxaonXkg9Ko2uT8AmHHo+EoCycOpymZIOK55EojP6e1lpIfML1m9OcTOUA9JUVERParCzewIHkSr6ReIM7IFp4p2cHkbUXtmcd0zgubT+JXO1+gs5CiEOQoBiUsFs94VIXiJL0k3lveePcWMsxONNDgVvPDdet4sm0HqXyeiOeysL6BVYsWcfr01qOunCgiIiIiE89F05axtnszxaA04mHcA6UcZzYsoiVWN+rzLWuZxrz6Ojbu6yAW88n5OSw+BpeYGyPpJQk7Ed6cWmaLJcKey3lzZ/ObLZv57bbXaR/oJ7CWafEEl86dzyWz51Ed0aKMcngqSoqIiLzJabVns7H/JfJ+jogbPer+/cU+akJ1LKk+5ZjOl/G7KNgUXbkiYcfi7s/2ipTI+Fk6TS914Wrqw7UYoOCXKJYspa4YH//ZLxgoFPAcg+e4BNayqaub377+Ogvq6/n0BRewdFrTMcVVMRoqIyIiIlPcmfULmRatpTPfR1OkBnOUF81Zv4BjDJc2H1s+mir1kmzaTd/uNFlTwnMNxhisLZEPcqRKfcTcGI3hJjzHw1pLZyZNQ02Cf1j7CHsHBgAIe4Mlpra+Xp5p38V3nl/Lh5adyrVLlx/1GiYc5aRloeHbIiIib7KwaiknV59Gf6mfvH/4YdzWWlLFXlzjcVnzOwk7o38L/FjnWn64/R6a4kUiroNvXVzj4jkeof2bJaAz30NHrot8UKI900++I8aGXb1gYHp1FS1VVTQm4kxLJphZU011NMKrnfu45Te/4fn29uO4GyIiIiJSbhE3xB/OvZiQ49Fd6D/iND85v0BvYYBzGk5iZd2CUZ+rM7+P7239Fqb2dZrqA4r5MMZ6b8pJQxgM6VKaPbl2Cn6RPakB/BDsDQbYl8kwLZFkRnUNTfEETfEEM6praElW0V/Ic+fap/j6umdGNVWRTB0qSoqIiLyJa1yumX4ty2tOI+0P0F3oohDkDyZS1loypTTdhU4c43Jl63s59RiGbm8e2M5/7ryPwAbMTdZySn2csGPIlALyfoC1FoPBMx4Gh45cPzvTXbh9VZSyLs3JBLXR6LBDtGOhEDOqq+nJZvnSmt+xL50+7vtSNrZCm4iIiMgEckHTUj4y/zI847In10OqmCF4U2Ev5xfYm+ulr5DhnIaT+MSiq/Ecd1TnKAUl7m77MR35vUyL13HhaQHNDZZszpDOGkr+4H6OcfBMiFSuyObuvdgQBBFLLBSmNVlFyD30vJ7jMC2RJBYKc/cr67nv9U3HdT/KTjlpWWj4toiIyFtE3Cjvn/nHzO99mud6nmBvbjf9NsXgktyWqBPjlNqVnFl/PnMTC4/pHA/ve5qsn6MpXI8xhqZYiJVNDjsG8uzNlsj6Fgj2n9MQ9SzTQobedIjaqEvEO/KvcGMMrVVV7OpPsXrz63xoxanHFKeIiIiIVMblLacxI9bIb/as49nuzezN9e7PRiHkuMxLNHNZywoubT6F8Ajnnnyzjf0b2JXdQU2oFse4xKJw4coiW3a6vL7DoT9tyFoOnjMccmlu6ScZaWJbn09DLHbUc9RGo+zuL/Cfr77ElfMX4p6oq3XLMVFRUkREZBie43Fm/fmcUXcubZktdOY7KNkiESfKnMQC6o9xtW2Aznw36/s2EnejQ+bXqQq7nFwfZ4Ef0J0rUQwsxkDUdagOw0vbCvTls8yraxjReRzHEHZc7n1tI7+/fBnhYd5ii4iIiMjEtbRmJktrZrI318srfW1k/AJh49Eaq+Pkmlk45tiLfGt7nsZiCTmhg5+FQ7Bkns/iOT57ugZ7TNpg8PPmhoD27ADPbuykKdow4nki62IxtvT28Nye3Zw1feYxxysnHhUlRUREjsAxDnMTC4+5R+RwNvVvI+vnaAzXD/v9iOvQmggf8nlXT0Bg/FGtql0TjbKnf4DXu7on36I3IiIiIgJAc7SW5mjtmB0v62fZlt5K1B2+t6PjwPSmQ8cU9+1LkCkVSIRGXk6KeSE6gwzP7WlXUVKGUL9ZERGRMsv6eQxmVMVFgFLJYMzoJpvxXIdSEJAuFEbVTkREREROXDk/i28DXDO6kTR+MLi/He1i2taSLioflaHUU1JERKTMRjsJ+QHGsZhgdBmgtRbHGMLe5Bi6bazFlHl1xnKfT0RERKTSBhdTNNhRrq7i7H9BPtqapDFmUk0lpJy0PNRTUkREpMymRRpwjUveH/nb4sAGJOI+wSiLkulCgXgoxPSqqtGGKSIiIiInqLiXoDpUTd7PjapdNJzDNS4lf+QFND8IAJhZVTOqc8mJT0VJERGRMltUNY/W6DQGSukRt8n4WWY3OyS8CLlSaURtrLUM5Au8bc5sGhOJYw23vGyFNhEREZEpxDUuK+vPxrclAhuMqE1gAxprcsyoqqInP/JiZm8+R100xiVz5h5jtBWgnLQsVJQUEREpM9c4XNC4kgA7ot6SvvVJl7JcMnshC+ob6UxnsCMY3pHK54mEPK5ctGgswhYRERGRE8iKmtOJe0lSxdSI9u8r9lITruL9i1dQ9H3yI3hRXvR90oUCl82dT210+EV1ZOpSUVJERKQCLmg8g1NqTqKv2E/Ozx92v1Lg05XvZXqsmffMvIKbLjifuliU3al+giMUJvtyOdKFIu8/+WROa20dj0sQERERkUmsNlzLlS3vwDGGvmLvYV96W2vpLfTgGY93tF7Dh04+g5Wt09mbHiBXKh72+AXfZ89AP0sbmrj+lNPG6SpkMlNRUkREpAJCTog/mft7nF63jIFSho58N5lSlpL18a1Pzs/Tme+hu9jLrPh0Pr7gQzREajmluZn/59K305RIsKsvxd6BAfKlEn4QUPR9erNZdvb2USj5XHfKcv70rLMwo1zlu5JMhTYRERGRqeisunN4Z+u78YxHV6GT/mKKUlAisD6loEiqmKKr0EnYCXPN9Pdxet1K4qEQt174ds6bOYuubJZdqT4GCnlKQUApCEgXC+xK9dGRHmD5tGa+cMnl1Mfilb7UUVFOWh5afVtERKRC4l6MG+Zdy/q+V3m86zk29W8jUxgcPuMZl1nxVi5oXMnKulNIeG8Md1k5Yzr/+u5rWL15M/dufI29AwP41mKAeDjE1Sct5spFizi9tXVSFSRFREREpLyMMZzTcD6z4nNY1/Msz/euY6DUT2ADHOMQdxOc13ABZ9SdSXO05WC7umiML11yBY+0bedXmzfy0r69pPKDo39CjsuypmauWXQSl8yeRyIcrtTlyQSnoqSIiEgFeY7L6XXLOL1uGXtynfQW+giwJN04M+MtOGb4QQ3NySR/dNppfGD5cjZ1dZEuFIh4HjOqq2maLIvaDKcSk3wf4/nuvPNO/vEf/5H29naWLVvGHXfcwYUXXjjsvo8++ih/+7d/y6uvvkomk2HOnDl8/OMf59Of/vRxBC4iIiIyNqbHZjA9NoNLp13O3tweCkGBiBuhOdpKzB1+LsiI63H5vAVcNnc+2/p66cpmCKylLhpjYV395H45Poly0slMRUkREZEJoiXaSEu0cVRtIp7H8ubmcYpIDufuu+/mpptu4s477+SCCy7gG9/4BldffTWvvPIKs2fPPmT/RCLBpz71KU499VQSiQSPPvooH//4x0kkEvzZn/1ZBa5ARERE5FBxL8G85IJRtTHGMK+2jnm1deMUlZyoNKekiIiITBjGVmYbrdtvv50bbriBj33sYyxdupQ77riDWbNm8bWvfW3Y/U8//XQ++MEPsmzZMubOncsf/dEfceWVV/LII48c5x0TERERkbE2WXLSyU5FSREREREglUoN2fL54VdFLxQKrF27llWrVg35fNWqVTz++OMjOte6det4/PHHufjii487bhERERGRyUhFSRERERFg1qxZ1NTUHNxuu+22Yffr7OzE932a3zJsvrm5mT179hzxHDNnziQSiXDmmWfyyU9+ko997GNjFr+IiIiIyGSiOSVFRERk4qjgpOI7duygurr64MeRSOSIzd46ebu19qgTuj/yyCMMDAzw5JNP8pnPfIaFCxfywQ9+8NjiFhEREZHxoYVuykJFSRERERGgurp6SFHycBobG3Fd95BekR0dHYf0nnyrefPmAXDKKaewd+9ebr31VhUlRURERGRK0vBtERERkVEIh8OsXLmS1atXD/l89erVnH/++SM+jrX2sPNWioiIiIic6NRTUkRERGSUbr75Zv74j/+YM888k/POO49vfvObtLW18YlPfAKAW265hV27dvHDH/4QgH/9139l9uzZLFmyBIBHH32UL3/5y/z5n/95xa5BRERERKSSVJQUERERGaXrrruOrq4uPv/5z9Pe3s7y5cu59957mTNnDgDt7e20tbUd3D8IAm655Ra2bt2K53ksWLCA//2//zcf//jHK3UJIiIiIiIVpaKkiIiITByTaFLxG2+8kRtvvHHY733/+98f8vWf//mfq1ekiIiIyGQxiXLSyUxzSoqIiIiIiIiIiEhZqaekiIiITBjGDm7lPqeIiIiIyAHKSctDPSVFRERERERERESkrNRTUkREBOgudLIzs4NCUCDshGiNzaAp0nzY/fN+P/tyr1AIMjjGJem10BBZhDGmjFGfgDR/j4iIiExR2VKRdV276CtkcTA0xpKsqJ+O5wzfn6wU+Gzo28W+fD++DagJxTmldhYxL1zmyE9AyknLQkVJERGZ0l4feI1nu59kY/8GckEOA1gsESfKwuRiVtadw0lVJx8sNvYVdvB6/wO0DTxGzu+F/ft7JkxdZD7zqy5jTuICXEfJoIiIiIgc3d5sP/e2beC+Ha/SkR0gsIMVMc9xmZOs452zl3LVrCUkQxEAMqU8D+x5md+0v8iOTDfFwMcAjjE0RKq4rGUZV7ScQnOspqLXJXI0KkqKiMiUZK3lkc6HeKjjfvJBgbgTpyHUiDEGay3ZIMsrqfW81v8q5zdcxBUt76A9+xzP7PsGWb+HkBMj4U3DMS7WWko2R1fuNbrym9ideZazmz5J2IlX+jJFREREZAJ7tbeDz6/9DTvSvURdj6ZYgpAzmF/mA59tA938y8uP8tDuzXxu5ZW4DvzjK7/i5b4dODjUhuOEHQ9jDKXAp6+Y4a5tT7Bm7wb+auk7WFozo9KXKHJYKkqKiMiU9GT3o/x27724xqMx3DTke8YY4m6cuBsnXRrgkc6HKAV7yRcfpRhkqPJahwzTNsYQMjFCToxSkGNn+inAcN60v8Q1oTJf2eRm9m/lPqeIiIhIuW3v7+Fzz/6a9kw/0xPVuOaNYdrGGKKuR2u8moLv82J3O3/37H+RjBfZmNpNU7SasDO0pOM5Lg2RKgIbsCfXyz+88is+d8r7mZtseuup5SiUk5aHFroREZEpp6/Yy4N778fgUOVVH3HfhJck5Hhs6f85Wb+PhDftiPNGek6UqFvHrswz7Ew/Odahi4iIiMgJ4nsbn2ZXJsX0RNWQguRbhV2X5lgV63u3s657+7AFyTdzjENLtJaOXB8/2vbYeIQuMiZUlBQRkSnnxd51pP2BoxYkD6hxfVwylKw3ooVsQk4May1b+tdg7RScsfp42AptIiIiImW0K93HU/vaqAlHcY5QkDwg5DgEbo5sqUjIuEfd3zGG6lCcF3q2syPdNRYhTy3KSctCRUkREZlSrLU81/M0Lt6IEkCAkOnAMZaMn8OOMFuIuNV05TfSW9h+POGKiIiIyAnood2bGSjmqd6/eM3RZG0GTIBvIVXMj6hN0ouQKRV4ZN/G4wlVZNyoKCkiIlNKIciTKvURcUaWAAI4ZMG6BNbHt/6I2oRMlFJQION3HmuoIiIiInKC2pPpBxjRKByAki0N7m8NBX9k+eiBY3fk+o4hQpHxp4VuRERkSgkIBv/LCBPAA60OsNaOcBZqA1iCERYxZZAJBrdyn1NERESknEp2dAnIm0frjHTkDgAGioHy0dFSTloeFe0p+fDDD3PNNdcwffp0jDH87Gc/G/L9W2+9lSVLlpBIJKirq+Pyyy/nqaeeOuIx77nnHs4880xqa2tJJBKcdtpp/N//+3/H8SpERGQyiThRPOPhB6URt7GEGSxMmiNOQv5mAUUc4xF2EscWqIiUhfJRERGphJpwdFT7OwzOI2mxeCPMR2HwhXpNKDaqc4mUS0WLkul0mhUrVvDVr3512O8vXryYr371q6xfv55HH32UuXPnsmrVKvbt23fYY9bX1/PZz36WJ554ghdffJGPfOQjfOQjH+H+++8fr8sQEZFJxDEOJ1efSj7IjXgRmhINWCxRN4rzlonFrQ0Igh4CfxeBv2Pw/we95Ep9xL1GGiOLx+MyRGSMKB8VEZFKOKtpFmHHJVsqjmj/mBMDDI4DVeFDpyEanKKom95iJ33FTgZKfWRLOUKOyxn188Y4epGxUdHh21dffTVXX331Yb//oQ99aMjXt99+O9/5znd48cUXueyyy4Ztc8kllwz5+i//8i/5wQ9+wKOPPsqVV1553DGLiMjkd3rdmTzX8zT5IEfUPfqb42xQi2tCRJ03xm1bG2BtB0HQATbH0OXyDB4OjeGTMKN4ky0i5ad8VEREKuH0hhnMr25gU18nMS901P1dXPBDhEOlIT0lc36Gfr+HfJAlsMEbswwZ8C3Uh+qZHa8bn4sQOU6T5i+lQqHAN7/5TWpqalixYsWI2lhreeCBB9i4cSMXXXTRYffL5/OkUqkhm4iInLhmxeZwUvVSBkr9FIMjv50uBSX6igNE3CW4xlDw01jrE/ivE/jb9xckQxgTxZgomCg+FpeAVO4pNnT/HwI7sjfgIjKxjWc+CspJRUSmEtdx+IMFp+M5Dt25zBH3tdayJ9NPvVtHc6yGvbk+rLWk/T46i7vJ+gMYwDMenhPCc0JY62CwFO0At7/27+zMHL6Hv0ilTPii5K9+9SuSySTRaJR/+qd/YvXq1TQ2Nh6xTV9fH8lkknA4zDvf+U7+5V/+hSuuuOKw+992223U1NQc3GbNmjXWlyEiIhOIMYb3Tr+W+clF9JV6GCj1E7xlsvHABqRLA/QUu5kZn8Pvz/l/WFB9OYUgRaH0KtZ2M1iMjGCMg4X9q3PncU2E6vACwm4tu9K/ZVPPdytynZOWLfMmchTlyEdBOamIyFTz9ukL+ZPFZ1GyAe2ZFHl/6Jzn1loypQK70n0kQmFuOe1K/ubkd5EMRdmZ3UtXoQNLgGdCOMbFGENgLYX9C9tMi9YxO97Ejsw+/nXTT+gtDFTiMicv5aTjbsIXJS+99FKef/55Hn/8ca666iquvfZaOjo6jtimqqqK559/nmeeeYYvfvGL3HzzzaxZs+aw+99yyy309fUd3Hbs2DHGVyEiIhNN3EvwR3M+ynkNF+Eal+5iF12FffQUuugqdNJd7MIYw5n153D93I9RG65nZcMNnFR9OS4ZfCw+PiVboGQL+LaAxRJxqqgJzyHsxAg5CUImwa70bxgobq/0JYvIMSpHPgrKSUVEphpjDH+48Az++6mXMDNRS3c+w46BXtozKXanU+xM9zFQLHBKfSv/68yruah1Pmc3LuCWk99DPFQiwKcUQNH6FAKfvF+iZH3Cjsf0WB3NkWpcx2NapJa2TAcP73u+0pcsMkRF55QciUQiwcKFC1m4cCHnnnsuixYt4jvf+Q633HLLYds4jsPChQsBOO2009iwYQO33XbbIfP7HBCJRIhEDp0oVkRETmxRN8Y109/PJU2Xs77vebZntpLzs0TdKDNiszm15nRqw2/MweMYl6gTEHVrcE2Sgk0T2BIGg2ciRNwaPCf6xlw+QMipJuPvpj29hkW1Hy7/RU421g5u5T6nyBGUIx8F5aQiIlORMYYrZy3h7TMW8XRHG4/t2UZnfgDXOLTEq7l0+kJOqWvBmDcyTMcpURUKUxtuIusXKfglLJaQ41LlxagOxYbs7zouYcfjdx3Pc1XruYSdCV8KqjzlpGUx6Z5Eay35fH7c24iIyNRRFarm/MaLOJ8jz/dWCrLszTxCyEkQcWuJUXvUYxtjcE2E9vSDLKz5I8xbVu8WkclH+aiIiIy1kONyQcs8Lmg5+krZz3a/SjEo0RirYaRL2FSHEuzL97Khbxsr6hYeX7AiY6SiRcmBgQE2b9588OutW7fy/PPPU19fT0NDA1/84hd597vfTWtrK11dXdx5553s3LmTD3zgAwfbXH/99cyYMYPbbrsNGJyL58wzz2TBggUUCgXuvfdefvjDH/K1r32t7NcnIiInlmLQf3DOyNFwTQTfZijZDCFTNU7RnRiMHdzKfU6ZupSPiojIZNNdSOGa0c3GF3I8AhvQW9S8kiOhnLQ8KlqUfPbZZ7n00ksPfn3zzTcD8OEPf5ivf/3rvPrqq/zgBz+gs7OThoYGzjrrLB555BGWLVt2sE1bWxuO88YPYzqd5sYbb2Tnzp3EYjGWLFnCv/3bv3HdddeV78JERESGMwWHZIhMdMpHRURkyjBH30WknCpalLzkkkuwR/gD7Z577jnqMd46YfgXvvAFvvCFLxxvaCIiIocIOVU4Joxv83jER9zOt3lCTg2ekxjH6ETkWCgfFRGRyaY+XI1vg1G1KQYlHBxqQspHZeKYdHNKioiIjLdS0Edf9iEG8s/jB/04ToxYaBG1sctpjl/IjoFfEra1QyYQPxxrLb7NMzt+qeaTFBEREZERsdanK/cCezNPkPP3AYaY20Rz4nxW1i3moY515PwCUTc8ouOlimmaIrWcXHP0OStFykVFSRERkf0Cm2NP6nv0ZO+j5HcDFoOLJaAv+xD7Bn6M552Mg0fJDoxofshikMIzMVqTlx51XxERERGRvZnH2dz7YwZKbQS2hMEFLBafHen7SXhzmRaZxe5sP83R+qO+KPcDn0JQ4qJpp2nlbZlQ9DSKiIgAfpClredWUrlHcUyMsNs6pGejtQG+7Sebf5KISZDx8xg8PCd22GOWgjRFO8Ds5HtIhuaU4zImPU0qLiIiIlNZW/+9bOz5Dr7NE3HqcN3okO+XgiwDhc0sjnXSkZtPdyFFfbj6sIVJ3wZ05HuZHZ/GxU2nleEKTgzKSctjdMs1iYiInKB29/0zqdyjhJxGQm7jIUOtjXHwnBqi3gwSJk3MgXzQQ7bUgW8LQ/b1gzzZ0l4KQYrpiStYXHdDOS9FRERERCahfdln2djzHawNiLktuE70kH08J0bMa2VWdIAza7ZjKLIn1026lB0yR7JvA3oLA+zNdTMr3sQnF/0eteFkOS9H5KjUU1JERKa8XHEbvbkHcZ1qnCP0fAQwxiPqteKUOmiMXU1PsY1McReW4OCChgaXRGgWM5JXMzN5NY7Rr1sREREROTxrLdtSP8W3WWLu9CMOyTbGEHWbWBDbzfTYPF7PLWFjajt7i92AwRiwQLUX56Kms3nn9PNpiNSU7VpERkp/JYmIyJTXm11NEAwQdmeNaH/HhDHGEGEf5zb/C1255+gvvo4f5HCdGDXhRdRHT1cx8lhYO7iV+5wiIiIiFZQqvE5vfgMhZ2SLKRpjCLvVePZl/tuCG+guvJ0X+15noJTFNQ6N4RpW1p9EtVbbPjbKSctCfy2JiMiU15t9EGOiI0oAD/CcajLFV/CDLqbFz2Ua545jhCIiIiJyIuvMrcW3OcJO/YjbeCZJNthNZ/Y55la/l9mJ5nGMUGTsqSgpIiJTmrUBfpDCITSqdsaEsUGGUpAiTOs4RTcFVWBScabeS2kRERGZYIpBPxZG9ZJ8cF9DMegft7imLOWkZaGFbkREZIozYBxGnwVYDOaQBXFEREREREbL4GIYeUHyzS01ZZBMVipKiojIlGaMIeLOxLfZUbXzgwyOiRJym8YpMhERERGZKmLeNACs9UfcJrAlwBJVPiqTlMrpIiIy5dXFryZdWI+1JcAlsFmKfjeloB+Lj8HBdeKE3HpcUwVAYNPUxd+H52glQxERERE5Ps3x89jU+28UghQRtw6PIvWmi3q6CJsCAAUbpotGum09PiGKQYqIW8+02DkVjl7k2KgoKSIiU15t7FL29n+Xgr8XP8jj236sDcA4GCDAJ/B7KAW9g70jnTocE6UufmWlQxcRERGRE0DEraclfgFt/b9itpumxdlLiCIWQ7B/kGvCFEjSz3Szk91BC9uCgFnJdxByqyocvcix0fBtERGZ8lynisbkhyj4XZSCbrAOxoRxTAhjQjgmhONEAA8/SJMr7SIZOYd4aHmlQz/x2AptIiIiIhU2r/r3WRK2zDDbcaxPjgh5IhQJUSREngg5Iri2xEyzjZPCLnOr3lvpsE9MyknLQkVJERGZ8qy19OeexjERIASmBPhvJAYWsD5QAhwcEyVT3IwfpCoVsoiIiIicYGL+88zy8gQmQp79c0baN1WqrCWwJXIYMFFme1ki/osVi1fkeGn4toiITHmZ4isM5NcRdmdhPEvR76IU9GHJv+mNpYPrVOE5jbimimKpnd7sgzQm31fJ0E88gR3cyn1OERERkQqyNsBmf4pjPOLhk3D9HvJ+N4EtDOlB55gIEbeOiFuP4+/F5n4OkUsw5lhW7pbDUk5aFipKiojIlNed/jWBzeE5TYOrcXtJwhTwgzTgM9g7MoZjYm9q5dCV+S8aEu/GGLdCkYuIiIjICaH4PJS2glOHY0LEvGlE3UZKQZqAIgAOIUJOAsz+Qa9OLRRfhdIGCJ1csdBFjpWKkiIiMuWl8k/imPiQN8yGMJ4TPmwb16khV9pOvrSbaGhWOcIUERERkRNV8UWwRTDRgx8Z4xx5ERsTB9sz2FZFSZmENKekiIhMadYGBEEWw+h6OxrjgfUJbHqcIhMRERGRKcNmRt/GGLAGlI/KJKWipIiITHEGYzzsaJe7swGDw7oj4xKViIiIiEwh5vAjdI5O+ehUdeeddzJv3jyi0SgrV67kkUceOey+99xzD1dccQVNTU1UV1dz3nnncf/995cx2kOpKCkiIlOaMYZYaDF2lG+nfTuA51QTcpvHKbKpydjKbCIiIiIV5c4GDNjSyNvYwmBvSU9TCY21yZCT3n333dx000189rOfZd26dVx44YVcffXVtLW1Dbv/ww8/zBVXXMG9997L2rVrufTSS7nmmmtYt27dGNyxY6OipIiITHkNiXeAcQZXNxwBay2BzVEXvwrXiY9zdCIiIiJywgtfAG4jBD0jbxP0gNMK4fPGLy6ZsG6//XZuuOEGPvaxj7F06VLuuOMOZs2axde+9rVh97/jjjv4m7/5G8466ywWLVrEl770JRYtWsQvf/nLMkf+BhUlRURkyquOnkfEnUnR78Dao7+iLAVduE4V9fEryhDdFGMrtImIiIhUkHESELkSbA5s/ugNbA5sERO7GnNcQ79lWBXMSVOp1JAtnz/0eSgUCqxdu5ZVq1YN+XzVqlU8/vjjI7rEIAjo7++nvr5+RPuPBxUlRURkynNMhJl1f43nVFMMdmNtMOx+1lqKfidQorX6BqKheeUNVEREREROWCZ+HYRXgN8xWHQ8HJsd3Cd8JsTeX74ApSxmzZpFTU3Nwe222247ZJ/Ozk5836e5eehUUs3NzezZs2dE5/nKV75COp3m2muvHZO4j4VXsTOLiIhMIFWR05lT/zl29PxvCv4ujAnhmRowHhDgB/0ENovrJGmt/jMaE79X6ZBFRERE5ARinCRUfw6bug2Kzw0urOjUwIGFFW0OghQYFyIXYKo+gzGxygYtY27Hjh1UV1cf/DoSOfxCRsaYIV9baw/5bDh33XUXt956Kz//+c+ZNm3asQd7nFSUFBER2a86ejaLmr5OT/a3dGf+i0JpD9b6GBxcp5rG2HupT1xFLLSg0qGesCqx8IwWuhEREZGJwjj1UPNFKDyBzd4LpZcgSO//ZniwGBm9CsLnYEyossGewCqZk1ZXVw8pSg6nsbER13UP6RXZ0dFxSO/Jt7r77ru54YYb+I//+A8uv/zy44r5eKkoKSIi8iZhbxrNVR+iKfn75IrbCWwGx0QIezPwnKpKhyciIiIiJzhjwhC5GMIXQbAbgl7AgFOPcVsqHZ5MAOFwmJUrV7J69Wre9773Hfx89erVvOc97zlsu7vuuouPfvSj3HXXXbzzne8sR6hHpKKkiIjIMBwTJh5eVOkwRERERGSKMsaAO2NwE3mLm2++mT/+4z/mzDPP5LzzzuOb3/wmbW1tfOITnwDglltuYdeuXfzwhz8EBguS119/Pf/8z//Mueeee7CXZSwWo6ampiLXoKKkiIiIiIiIiIjIJHLdddfR1dXF5z//edrb21m+fDn33nsvc+bMAaC9vZ22traD+3/jG9+gVCrxyU9+kk9+8pMHP//whz/M97///XKHD6goKSIiIiIiIiIiMunceOON3HjjjcN+762FxjVr1ox/QKOkoqSMqf5snm2dPeSLJSIhj3lNdSSjh18pSkRE5M2MtRhb3lnFy30+ERlffhDw+r5uUrkcjnGYVpVgZl1lhqWJiMjkpJy0PFSUlDGxpaObB9Zv4oGXXyeVzRMEAY7jUBOL8PZlC7jslEXMn1Zf6TBFRERE5ASVyuZ46LUt3PfSa2zv6aXkBwBEPI/TZrZy1bLFnDtvFp7rVDhSERERARUlZQzc+/xGvv3g0/Rn88TCIeoSMVzH4AeW/mye/+/J9dz3wmv86dvP5urTTqp0uCIiMpEF+7dyn1NEJrVtXT188b41bNnXjesYamJRQp4LFrLFIk9saePpbTu4aNE8Pn3ZBSQi4UqHLCIiE5ly0rJQUVKOy+oXN/G11U9gLcyorx5cHWw/14GGqjjWWjr7M3xt9ZN4rsMVp2g1WxEREREZG3v6+vncrx5gR3cvLdVVh/SErHIjVEUjZAoFHtz4OqUg4H9cdQlhz61QxCIiIgKgsQtyzLoGMnzrwacJAktTdWJIQfLNjDE0VScoBQHfeuBpugYyZY5UREQmD1uhTUQmq28/9ixtXb201hxakHyzeDhMfSLOY69vZ/WGzWWMUEREJh/lpOWgoqQcszWvbKE3k6OxKjGi/Rur4vRmsjy8Yes4RyYiIiIiU8Gu3hRPbdtBdSyC6xz9T5t4OIS1cN/LG7FTcEEBERGRiURFSTkmQWD59fMb8VwHxxm+h+RbuY6D6zjc9/xGgkBJoIiIiIgcn9+9tpV0vkBVNDLiNnXxKJv3dfHS7r3jGJmIiIgcjYqSckz6c3k6+zPEI6FRtUtEwuxLpRnI58cpMhERmdQ0UkZERmFbdw8AzmGmERpONORRLAXs6k2NV1giIjLZKSctCxUl5ZgUSiWstTiMPAGEwfklLZaiPwWXlRIRERGRMZUvlkZVkITBfNQYKJT8cYpKRERERkKrb8sxSUTCuI5DKRhdcbHk+3iOQzw8uh6WIiIyRVig3PO8TcG30iInitpYFH+U/2YE1hLYwXxWRERkWMpJy0I9JeWYxCNhTp3TwkCuMKp26XyRFXNaiakoKSIiIiLHacWsVlxjKPoj7/WYyuaojkY4ZUbzOEYmIiIiR6OipByzK09djOsY8sXSiPbPF0u4jmHVqYvGOTIRERERmQrOnz+H5uokPZnciPa31jKQL3D+gtlMq0qOc3QiIiJyJCpKyjFbOX8Gi1sb2ZdK4x9lGLcfBOxLpTlpehMr580sU4QiIjLZGFuZTUQmp2jI4z0rTqbk+wzkjzyCx1rLvv40VdEI7zplSZkiFBGRyUg5aXmoKCnHLOS6fObdlzC3qY72nn7SuQL2LXMuWGsZyBVo7+lnblMdf/vuS/BcPXYiIiIiMjZ+7/RlXLVsMalsjq50ZtiX5YWST3vfAJ7r8MmLz+Xk1mkViFRERETeTAvdyHFpravmf127in/59eOs37GHnnSWsOfiOg5+EFAo+cTCIc5eOIu/vOoCptVomIyIiIiIjB3Xcbjp7RfQmIzzixdfZU/fAI5jCLkuFkuh5OMYw4zaKj72trO4cOHcSocsIiIiqCgpY6CltoovXLeKzXu7eGD9Ztbv2EMmXyQeCXHK7BYuX76QBc0NGGMqHaqIiIiInIA81+FPzlvJe1aczJrXtvDwpm30ZLK4jsPM2mouW7KAc+fNIuzpzx8REZGJQr+VZUwYY1jU0siilsZKhyIiIpOYsWCOPE3xuJxTRE4MdfEY7zttGe87bVmlQxERkUlMOWl5aHI/ERERERERERERKSsVJUVERERERERERKSsNHxbREREJg5rB7dyn1NERERE5ADlpGWhnpIiIiIiIiIiIiJSVipKioiIiIiIiIiISFmpKCkiIiIiIiIiIiJlpaKkiIiIiIiIiIiIlJUWuhEREZEJw1iLKfMk3+U+n4iIiIhMbMpJy0M9JUVERERERERERKSs1FNSREREJg5rB7dyn1NERERE5ADlpGWhnpIiIiIiIiIiIiJSVuopKSIiIhOH3b+V+5wiIiIiIgcoJy0L9ZQUERERERERERGRslJPSRlTmUKRxzZu48lNbXQPZPAch+n1NVxy8nxWzG7FcUylQxQRERGRE5i1lvWde1m9bTPbUz0UfJ+6aIzzZ8zhklnzqApHKh2iiIiIoKKkjBFrLT995mV+8vRLdPanwYLnOljghbZ2frt+E/Om1XPDpWdx+tzplQ5XREQmKg2VEZHj8FLnXv513RNs7O4k75fwHBcDlIKAR3Zu49svPsP7Fy3jD08+Dc/RoDERETkM5aRloaKkHDdrLd944Cl+/uwruI5hWnUCz3WH7JMtFHmtvZMv3PMgN7/zQi44aU6FohURERGRE9Gze3by+ccfpCuXpSEaoymWwJg3RumUgoCeXJZvr3+W3el+/vtZF6owKSIiUkEqSspx++VzG/j5s68Qj4SojkWH3ScWDjG9zmNv7wD/fN+jtNQmWdDcUOZIRURkwrN2cCv3OUVkUtvZ38eXnvwdPfkcM5PVQ4qRB3iOQ1M8wUAhz71bNjIjWcX1y86oQLQiIjLhKSctC70alONSKJX42TMvY4w5bEHyAGMMzbVJetJZ7nt+Y5kiFBEREZET3b1bNrI3009romrYguSbJcMRwo7LPZteYaBQKFOEIiIi8lYqSspxeWrzDnb39FOXiI1of2MMiUiY323YQm86O87RiYiIjJ8777yTefPmEY1GWblyJY888shh973nnnu44ooraGpqorq6mvPOO4/777+/jNGKnLjSxQK/3rqJqBvCOUpB8oC6aIzOTIbf7dw6ztGJiIjI4agoKcdl7ZZd+EFA2HOPvvN+1fEIfZk8z29vH8fIRERkUjowVKbc2yjdfffd3HTTTXz2s59l3bp1XHjhhVx99dW0tbUNu//DDz/MFVdcwb333svatWu59NJLueaaa1i3bt3x3jGRKW/9vr10ZtPURo48aufNPMfBYnl81/ZxjExERCatSZKTTnYqSspx6c3kcJyRvZE+wHUcDDCQy49PUCIiIuPs9ttv54YbbuBjH/sYS5cu5Y477mDWrFl87WtfG3b/O+64g7/5m7/hrLPOYtGiRXzpS19i0aJF/PKXvyxz5CInnoFinpINRr1oTchx6Mlr5I6IiEilaKEbOS4Rzz2mYr4FQu7Ie1eKiMgUYfdv5T4nkEqlhnwciUSIRCKH7F4oFFi7di2f+cxnhny+atUqHn/88RGdMggC+vv7qa+vP7aYReQgz3ExjO4lOQz+6Icd5aMiIjKMCuakU4l6Sp5ArLUUfR87Tl1+S6VDjz2jvgZrLUEQjPgHKFcoEnIdWmqrxiFKERGRYzNr1ixqamoObrfddtuw+3V2duL7Ps3NzUM+b25uZs+ePSM611e+8hXS6TTXXnvtccctMtGU/IAgGJ981PcDfD8Y8tn0RBVRzyNdKo74ONZaSoHP3Oq6sQ5RRERERkg9JSc5Pwh4cXs7q9dv4vlt7RRLPq7rsHT6NK5YsYiz5s8kNIr5Ht/MWsuGLXtZ8/Qm1m3YQb7g47qGBbMauXDlQkzY4ZWN7fSkMvSkMniOS1UsTG1VnGQ0zOFeWPemc8xrrmf5rObhdxAREamAHTt2UF1dffDr4XpJvtlbV/i11h511V+Au+66i1tvvZWf//znTJs27diCFZlgdvWmeOjV13lww+v0ZnMYDE1VCVYtW8QlJ82jPhE/5mN37Uvx5MOv8dhDG+jtSQNQW5fg/EuWMGvRNF58dTfZnVl2RXqJFV3CYY+6mjhVVVHcwwzpzpSKRNwQl89deMxxiYiIyPFRUXIS29Xdx5d/+TCb2jsp+j6xcAjXcSgWSjz+2jae2tzG7IZaPv2uCzlpetOojt3ZM8BXf/QwG7bsIV8sEYuE8VxDoQhPvrSN+9a9hnWgKhEZfDMdFDG+T09/lt6BHLFIiFnTagmHhhZEc8USAZarViw+bJIoIiJTl7EWU+ZJvg+cr7q6ekhR8nAaGxtxXfeQXpEdHR2H9J58q7vvvpsbbriB//iP/+Dyyy8/9qBFJoii7/OdR57l3pdeI53PE3bdgwsgbu3s5l8feoIfPfk8f3D2qfz+yuUjKtwf4PsBv7j7KX7zq+cZ6M/heS7hyOCfL7t2dvO1H/yOgoFILEzt3BDdM6FkLH62QCZbINTp0txUTU11bMhxrbV05TKcPm06yxr0YkBERA5VyZx0KlFVaJLa2dXH/7z7N7y8Yy9VsQgz6muoT8apiUepT8aYUV9DXTLG1n093Pofq9mwq2PEx+7sGeCL37ifFzbuJBELM72phvqaONXJGF7YJWVLBMZifUsmXaA5GifqeQQGQp6L6xrSuQLb9nRTKPoHj5srluhMpTlz/kxWnbp4PG6LiIjIuAuHw6xcuZLVq1cP+Xz16tWcf/75h21311138Sd/8if8+Mc/5p3vfOd4hyky7kp+wFfuf4T/XPsSBsv02mqmVSepjceojcdoqamitaaKXLHItx95hh88/tyIpxmy1vLjb/+On939FKVSwLSWWhqnVVNdEydRFaM/bCjsX2yxkMmT7ICWfIxSyOKEHUIhl1IpYPeeXnr7MgePG1jL7nSKxliCT51+7qiKpCIiIjK2VJSchEp+wD/+8nfs7Oqjta6KWDg07H4Rz2N6XRXdA1n+4Re/G9Fq19Za7rzrEbbu7GJaQzWxaPhgslYKArb39lH0AyKuSyTsEQSWzn0DzIlXE3FdCoFPyVo8zyFbKNK2t4d0rkB7T4qegSznLJzF31xzMdGQOumKiMgwbIW2Ubr55pv59re/zXe/+102bNjApz/9adra2vjEJz4BwC233ML1119/cP+77rqL66+/nq985Suce+657Nmzhz179tDX1zf6k4tMED9d9zIPvPo6tfEotfEYzjAFPtdxaKxKEA153P3seh7bvH1Ex37kgVd44L4XSSSi1NYlcJw3jt0+kKE/PzhHeSTk4boufZ1pZm4J05KNUnADcp6PCRsslvaOPlKZHB2ZAXYNpGiKJbn1/MtYql6SIiJyOJMkJ53sVBmahNZt283mPZ00VieOOgTaGENzTZLd3SkefXUbV5120hH3f21bB6+83k5ddRzPHXrs3myOfMkn4joHC5WhkEuh6FPMllhc00BXPktXLkMh8LEO9OfzRAeynDKnhatWLObipfOJqCApIiKT3HXXXUdXVxef//znaW9vZ/ny5dx7773MmTMHgPb2dtra2g7u/41vfINSqcQnP/lJPvnJTx78/MMf/jDf//73yx2+yHErlEr86sVX8RyHRCR81P1r4zF29aT4xQsbuGDhnCP2UAyCgN/+1wtgIVEVHfK9oh/Qm8vjOuZgEdR1HQI/INWZZnnNNJriOXYlMvSFC/hR8AOf3akUC6c1cvX8xVw9bzHTk0efqkFERETGl6pDk9BvX9xEybcj7m3ouQ6OMfz6hde4csXiIyaBv3t2M/lCifqaxJDPrbV0ZbIYhk7sP/g1dKey1NcmaI0naY4lGCgWKNmAnlSGs6bP4It/dJWGx4iIyAhU4jXxsZ3vxhtv5MYbbxz2e28tNK5Zs+aYziEyUT25ZQftvf00JEe+gE1NPMrLuzvY1NHF4ubGw+63Yf1Odm7vpLr20GP35PKUrCX8lhfzrueSzxXJpgu0mhgt2Sj9oRI516c/myeCw7+8/520NtSM/CJFRGQKmzw56WSm4duTTBBY1m3bTTwy/JDtw6mKhdm+r4fO/vQR93thw04i4dAhBcSiH5ArlfCc4YflFIs+hcLg/JGOMVSHI9RHYtRH4+zY3TOqWEVERERkYntldwe+DQ4uajMSiXCIXLHEK7uPPNf55g3tlEoBkeih+W66WAQ4JFd1HIO1kM0MTldkMFQXQ0zLRZkbVBHaZ9m1QzmpiIjIRKKi5CSTKxbxgwB3mOLgkbiOgx8EZAulI+6XyRVx3UMfC98GDM5Lfuh5jRmcrycIgmHOayj5Afk3LXgjIiIiIpNbplBktIuEGmNwzGDbI8nlCof9Ximww2SjbwiCQ4NyHEMQWHK5I59XREREykvDtyeZsOfhGIM/TAHwSAJrcYw56tvsSNgjN0zh0jFmfwJoObQwOZgcmmEKpYG1hFxnVG/RRURkCrOWUVc6xuKcIjIqkZB3xOLg4VjLUacgCoUP//3hFtM52vetHZxuKHyE44qIiAyhnLQs1FNykvFchwUtDUd9w/xW6VyBxqoEDVVHnvdn0Zwm8vlDjx1yXUKugz/MD4nvW1zXITxMgpnNFVk4o2HIiokiIiIiMrnNbajDjPJFea5YxHMd5jbUHnG/WXMaMcZQLB76ojzuufv/Thyak1o7+JJ8uCHfmUyeWDTMrOl1I45VRERExp+KkpPQqlMXA1D0RzYkOrCWou+zasViQu6Reyxees5iXNch/5beko4x1MdjBG9JAi0Q2IDaqtghhcdiyQcDl61cPKI4RURECCq0icioXLR4LvWJGL2Z3Ijb9GZyzGusY8Ws1iPut+KseTQ1V5PqzR7yvbpYFNcxh7woL5UCQmGP5FtW6wYYSOdZsWwmrS21I45VRESmOOWkZaGi5CR03uLZtNZWsS+VPuQt8VtZa9mXSlObiHHpsvlHPfapJ81gVmsdXb2HHrs+FsNzHIpveiNeKgW4jkPtW3pgWmvp7E0zvaGac06ePYqrExEREZGJrioa4fKlC8kUihRKR39RnikUCSy845STcJ0j/wkSDntcfMUySkX/kBE8Uc8lGQ7hB/Zgrhrs/++1dfFDphPqH8gRCrlc/LaTRnmFIiIiMt5UlJyEYuEQf/mOt1EVjdDe23/YYTOBtXSk0oRch09ccS5N1cmjHttzHW78gwupq4mzZ18K33/j2GHPZWZNFQZD3vcpFEuApbmhikjkjaHbfhCwt7ufqkSET73/bUSOMm+QiIiIiEw+HzpnBafObGFvaoBscfiphay1DOTydKezXLx4HlctH9kImlXXnM6KM+fS0zlANjN04ZsZVXGinkshCCj5PqWiTzIZpb6xash5U6ksmUyBK9++nNNPmXXsFyoiIiLjQkXJSeq0udP5H++7lKaqBHt6B9jT208mXyBfLJEtFOnoG2B3d4pEJMRfXP02Ll22YMTHXjinib+94XJamqrp6O5nb2eKTLZAvlAi5nrUhsIEvqUExBMRYtEw+UKJTK7A3u5+9nYP0FiT4G8/+HZOmX/k4TkiIiJvZrAV2URk9JLRCJ9792WcM28WvZkcu3pSpLI5csUSuWKR3kyWXT0pMsUSVy5bxF9feeFRpxI6IBIN8Ym/uoqz3raI9ECOPbt76E9lyeeK2GJAkxfC9S1FP8CNutQ2JiiUfHL5Ir19Gfbs7SMILO95x2l88PfOxhxlgRwREZE3U05aHurCNomdPm8G//yRd/O7V7Zy/wuv0d6bIggGV9meVpNk1amLuWTZfFpqq45+sLc4aV4z/+9fvYfH121l9ROvsntvL35gMcYwo76ady9fjg0Znt24k56B7OB5HcPs5jpWnbWYC0+dT20yNg5XLSIiIiITRV08xuffeznPbtvF/S+/xnNt7fTn8gBEPI+rT1nM5ScvYsXMllEXBhPJKJ/87+/glRd38OgDr/DCs9tIDwweOxxyeccFS2iYXcfru7rZsq2TgYEcxhjisTBvv3AJbztnIfPnNqkgKSIiMkGpKDnJ1SfjvO/sZVyzcil7+/rJFopEQh7NNUnC3vH9z1uViHLl25ZyxflL2NvVTzZXIBL2aKhLEA0Prmz4kWKJjt6BwV6UkRDT6qrwXHXAFRGRY2T3b+U+p4gcs5Drct6C2Zy3YDZdAxn6sjkMUJeIUxs/dOGZ0XBdh1NOn8Mpp8+hrzdNX28GgJraODW1CWD/XObdA6TTeTzPpb42QTwePt7LEhGRqUw5aVmoKHmC8FyHGfU143JsxzG0NlUP+71wyGNmU+24nFdEREREJpeGZJyGZPzoOx6DmtrEwULkmxljaGqooqlh9KODREREpHJUlBQREZGJI7CDW7nPKSIiIiJygHLSstA4WxERERERERERESkr9ZQ8Ae3o6mV3d4qiH5CMhDlpRhOx/XNAioiIiIiMt3Qpx+b+djJ+nrATYma8geZobaXDEhERkQlERckTRBBYntzUxm9eeI3nt7eTKxSx1uI6Dg1Vca44dTFXnLqQ1rrh54YUERGZGDSruMhktiPdyUMd63m442VSxTS+DTAYYl6EM+rmc2nzqayonasVsUVEZIJTTloOKkqeAAqlEnfe/ySrX9xEyQ+ojkWoqUniGEPRD+hL5/i3R57j/uc3cvM1F7Jy/sxKhywiIiIiJ5jH973Kt16/n75ihqgbpi5chWccAiyZUp5H923g6a5NXN16Bh+aezGe41Y6ZBEREakgzSk5yQWB5c77n+S+dRtJRELMqK+mKhbBdRyMMYQ9l8bqBNPrqukayPD//ux3vLxjT6XDFhEROQwLtszbFHwrLTLW1nZv5mub7yNdytMaraM+nCTkuBhjcI1DVShGa6yOsOPxy93P8O/bH8Fa/eyJiMhEpZy0HFSUnOSeeX0Hq1/cRE08QjIaOex+jjG01lbRm8ly5/1P4gdBGaMUERERkRNV3i/yvS0PkPMLNEWqjzg0uyoUI+aGubd9La/17y5jlCIiIjLRqCg5yR0Ysn2kguQBxhgak3G27evhhW3tZYhORERERE50z3ZvZk+2h/pwckRzRVZ5MXJ+gTV715chOhEREZmoVJScxHZ3p1i7ZRdVsaMXJA+IhkOUfJ8HX948jpGJiIgcI1uhTUSO2Zq967FAyBnZdPXGGOJuhCe7NpIqZsY3OBERkWOhnLQsVJScxNp7U+QKJeLh0KjahT2X7ft6xycoEREREZlSdmQ6ibqjy0fjbpisX6AznxqnqERERGSi0+rbk1jJD7BYRjBKZgiDoVDyxycoERGR43Fwou8yn1NEjlnJ+hhGl5AaY7AWioFyUhERmYCUk5aFekpOYsloGM9xKPmjW7Sm6AdUj2LIt4iIiIjI4SS9KCU7uuJiMfBxHYe4q5xURERkqlJPyQmo5Ac8t2M3O7p7SWXztPf2UxuL0pCMUxOLcvb8mdQn4ixqbWRaTZKOvgGS0QiZfIHAWhxjiIZDRDyXTCqPXxosWrqeQzwZIbCW8xbPGfbc1lo27ejktR0dZPNFIiGPua31LJ/fiuOMskumiIjIaNlgcCv3OUXkEDs6elm/pZ3+bJ72zAAlJ6C5vopkNMzSlmmcNK0RYwznNJzEf+x4jGLJpz9foOQHGAOe61AdilDYWqTYUcIWLSbiEJ0bIlWXYWFVKzPi9cOeuyeVYd3LO0gN5MAY6mvirFw2i0RcRUwRESkD5aRloaLkBFIolfjl+o3c99JGtu7rpj+bJ18oEQQWYwxh1yUWDjGtKsFFi+fx7tOXMr+pnvVte9jT0z84KaoBShaTszhFi4PBefP4bscQqw6zpKVpyLmttTz24lbufWIDm3Z0kC8ODsOxWEKuw9zWeq48ZwlvP3MxnqsOtiIiIiInquc37+K/ntjAutd3sa+Yod8rUXAGpw3yXIdoOERdIsbJrdN4zylLmRefQTbrs6F3L7a0P+8sWbyXYN/L4PaCY53BKYcsmDDY2bDova04pw3NK3e093Dv717m8XVbGEjnB4d57/9eXXWMi89ayNUXL6OxLlnOWyIiIiLjQEXJCWIgX+B///p3PLmlDd8PGMgWKJZ8XOMQDhkCoBQEDOTzOMbw83Wv8KsnX8EWAgLfYrFEPBdK4A8UoWQJDATG4rkukZCHHwQUiz7+gM8dP1rDX//R21k8u4kgsPzwvmf4xaMv4fsBNcko9dVxzP5iZi5f5PVdXdx5z2O8tGUPn/r9txEO6dEREREROdH86olX+MGvnyFdKJCK+fTHigBEcHEwlPyAXKZAjw/rSrt5bvsuHB9KrS62NofnhXDzDs79Pub1AAuUYuBEAqL788dCpoS72eHxb2ygub+Wd37gLIwxrN+4i//zf39HZ/cAiXiE5oYqHGewaFnyA1IDWe5Z/QLPvNTGzR95O3NnNFTqNomIiMgYUJe3CaDkB3xl9aM8/vp2kpEwmVyRYskn7LmEPBfHcfAch4jnYYwhlcvjZ326utP0ZwvMrqsh7LkU8j5+72BBEtfguA7GMZR8n1yhiB8E1FXFWDijnr1dKb78bw+ya18fP1nzAj97eD3RsEdrYzXxaPhgQRIgGgnR0lBFdSLCmuc2861fPImdghOwiohIGdgKbSLCmudf53v3PY1vA/JVkDIFPBwixsM1DsYYQp5L2PPI54vkMkX6Ulk6UmlinU0kClUEpgSri5hNATYO1BpM2OAHlmyxSDEoEUmEmD+7Bc91+Om/PcFD977Ilh2d/PMP1tDdm6Z1Wg21VbGDBUkYHApeX5OgpaGaHe093P69B+nsGajczRIRkRObctKyUFFyAnhm+04ee30b9YkYA9kC+WKJsOcOKQweEHJdrG/p68kRch18LP3ZPPPr6wkXDNa3WGfwWQ6sHVwwCvADS208xuzGWjzXpaWhivbOFHfdv5afrnmRcMilOhE9YpzxaJiqRIQ1z23itbZ943MzRERERKTscoUS/7Z6LaVSQCQZpivI4RkH1xz654IxBs916M/k8P3BqX46UzlqO2eSeLUKZxMESYsND47mscZiXEuAxbUecxLTiLohauoSYOBnP36Sf//ls3T1pWlprB469dBbuK5zsDB53+9eHs9bIiIiIuNMRckJ4P6XN+H7lrDr0ZvO4hgzbEHyALcEWIs14DkO/bk8thQQKhnCocHela5jcByD6xiinkdof2/LA0me4zgkY2HWPLeZvnSO2mRsRLEmY2FyhRIPPbdpLC5dRERkKGsrs4lMcU+/2sbenn7qq+N0lrIE1uJypEUOzf6X35aQ51IKAlLpApHnw3hFj5AbwbUujnVwrIPnh/DyEYJsCA/34FFq6xLs6x3g6Re2UZ2IHjEHPsB1HWKREA8/s5l0Jj8GVy8iIvIWyknLQkXJCtubGmBt2y6qomH6s3lKfnDEhWSstQT5wRWZ/MDiOoYgsHT2DOAHASHPJeJ5xEIh4qEQsVCIkOviOg696Sx+8MZDXhUP0zOQxfeDEa+sbYwhHg3z2ItbSWcLx3fxIiIiIjIhPPzClsFFaFxDd5DDPcpL8lIwOF9kEAyOzHGMoadrgGJ7Gifi4fkhwsUYkf1bqBQhhEfJ90nl3igkup5D1jP09+dIjmJl7epkjJ5UlrUv7zieyxYREZEKUlGywrrSGQoln2goRNH3AY7+hjgAzODw7AP7FovBEds6xmCtpeS/scS8MQ72TccYqWjYI18o0ZfOjqqdiIiIiExMe7pShDyXog0IsDhH7CXJG/OL789JHWPwMyVsyWK84dseyDlL+3Peg8cKGXw/GFVO6rkOFujuy4y4jYiIiEwsWkK5woIx6J5r3/Sfo93vWM9+4M24iIjImKrE0JUpOFRG5K0CLAdqgiP6ibD2kLLlSEuKh/zIje79+JBmWnxRRETGhXLSsqhoT8mHH36Ya665hunTp2OM4Wc/+9mQ7996660sWbKERCJBXV0dl19+OU899dQRj/mtb32LCy+8kLq6uoNtnn766XG8iuNTG4sSch0Kfglv/wqDR02u9iduZn/vR8Pg3DrYw7cN7OAbb9d58//kFoMZdTJXKPqEvKMvjCMiIiIy0SkfHdRQnaBQ8vGMwcEQHGV/47xRwTTsH8ETccEdXHhxOHZ/ufOQqYpKFscZXU4aBAHWWqqTykdFREQmq4oWJdPpNCtWrOCrX/3qsN9fvHgxX/3qV1m/fj2PPvooc+fOZdWqVezbd/iVn9esWcMHP/hBHnroIZ544glmz57NqlWr2LVr13hdxnGZUVvNkpZppLJ5qmIRXMfBDw6fBhpjMBEDlsH5JO1gEldfl8BxzWF7LwZBQFU8MiQJHMgWqI5HcJzBYdyFgs++7gF27e1j555e2jtS9KfzhxTr09k8Zy6ZqaKkiIiMPUsFJhWv9EVLJSkfHfS25fMG54YMDDVOGN8euSzpOoPDp40ZXFwxsJaaxgShphhB3h+2Tcm3uI5DdfSNuSODICBasCQSUbK5Ir4N6Eln2dnTR1tXLzt7+ugcSFN6S36cSudJJiKcfvKs4752ERGRQygnLYuKDt+++uqrufrqqw/7/Q996ENDvr799tv5zne+w4svvshll102bJsf/ehHQ77+1re+xX/+53/ywAMPcP311x9/0GPMGMPVyxfz/I7dBFhq4hG6B7K4zuHnerQhAwYcDEU/oCoaoSYZoz+RpT+Vw3GGTkweBIPHqnvTCtvWWvrTec4+eQ4vbWtny84u8vnSIUXN7r40kXCIxroEtVUxsoUinuty6cpF43NDRERERMpI+eig85fP5Ue/XUvPQJamZIzuIIdvA1wzfB8GAxgzuJX8ANcx1CXisAiK7WlsKcB4b7S1gG8DGhPxIS/JU71Z6pNR5i5uYd1ruyg6ASXfHuxVOXguw96+AWrjMVpqkhhjSGfyXHnhydTXxMfrloiIiMg4mzQL3RQKBb75zW9SU1PDihUrRtwuk8lQLBapr68/7D75fJ5UKjVkK6e3LZjD8hktdPSnqUnE8FyHQskfdghLKQiwLsSTYUpFHwdDc3USgIbGJK7nUCq+0TawlqLvk4xFSMYG30pba9nbPUBtVYxLT19IKVM62CMyHHIJh7yDm+e65PNFdu3tZfe+Prr7Mpx+0kxOXTi9fDdIRESmDluhTWQExjMfhcrmpFXxCO+78BT8IMDkLbVOZHDRm2Hy0QOLJ8YjYVzXoVjyqYvFiHoekVlJQs1x/HTp4DBuCxRKJcKuS2MycfA46YEc+XyRS965gkKdQ6ZYpJjz8VxDJOQd3EKeS2At+/oH2NLRRfu+Phrrkrzj4pPLdXtERGSqUU5aFhO+KPmrX/2KZDJJNBrln/7pn1i9ejWNjY0jbv+Zz3yGGTNmcPnllx92n9tuu42ampqD26xZ5R0GEgl5/I+rL+bk1mn05nLUJqO4jkO+5FPyB+fLCaylUPIp+T5VkQjR6jDxZIREOEQ2X6BY8onFw7ROr8FxHQoFn3yhRKFYoioWYVZjDVjLQDbP7s4UyXiYD7/jLO759TrcoqUhGcdiKfhDk09jDN7+RLCjZ4Dm2ipuuu6it8xNKSIiInLiKkc+CpXPSd/7tuW8+4Jl5PIlqgY8koQoWJ+C3f/C21pKvk+x5BMOeVRXR4nHwiSjEbCQzhfANVRd2EpoWgx/oEgxXSS/f6TN7IZaoiGPQqFE594U6f48l151CrubLC9176NufjWe5+LnA4JScPAluzGD0xZ5GPr782T8Ejf+4YXMnn7kIq+IiIhMbBN+9e1LL72U559/ns7OTr71rW9x7bXX8tRTTzFt2rSjtv2Hf/gH7rrrLtasWUM0evj5D2+55RZuvvnmg1+nUqmyJ4HTqpJ88T2r+PHTz/Pgxi0U/IB0drDYmC/tX8zGcUiEw1THIiyb3swHzjyF7bu7uffZV9nbM0Cwf+6fSHUYO1DAliwRzyPsOHR092OBWCTEWSfP5gOXncbLG3eza28vLY01GMewbyBNVzpDwfcPmUcy5HkkMLgFS9ib8I+NiIiIyJgpRz4Klc9JjTF89OqzmTWtll8+/gpORzeYgAG3RMYMzhPpOIZI1CMRCzO9tpp3LT+JeXV1/H/PrOfV9g56MtnBnh4rqzEbDd7uHLEiJIzLQGeaAdK4rkPzjDouf9dpzD9nFjf96FdUxSJU10eJxyP07uwnnyrgF4fOI+m4DonGKLY+RFFTm4uIiEx6E766lEgkWLhwIQsXLuTcc89l0aJFfOc73+GWW245Yrsvf/nLfOlLX+K3v/0tp5566hH3jUQiRCKRI+5TDrXxKDdeci5/eM5pPLxpK23dfXT2p9nbN0BVJExLTRUNiTjnLpjNouYGjDGcNX8m15xzMk9tbGPjzn1kC0WiIY850+qY3VDLi5t20dufHTx+VZxzls1h7vR68oUS/+f7awiHvMGVu4HmqiRNyQR92RyZYpEgsDjGEA151MaiBL6lqyfN2pfbOP/0+ZW8VSIicqKyweBW7nOKHEE58lGYGDmpMYZVZ57E209fxAubd/Pilt30pnPszKYoOZbmhirqEjFObpnGefNmHXxZfdbcmby2t5MnX99BXzaHARovT3B6SzPtL3ewe0cXxYJPNB5m8bIZnLpyLl7I5Tu/e4Zsocj0umoAYrURojVhCgNFMt05/NLgz6cXdok3RAnHQ+zqTvGb9Zs4e74WuRERkXGinLQsJnxR8q2steTz+SPu84//+I984Qtf4P777+fMM88sU2RjpyYW5ZpTl454/0jI46Ll87lo+aGFwqVzm4dts+H1Pezr7qeuOjHkc8cY6uIx6ogd0sZ1BhfNefrF7SpKioiIyJQ1FfJRz3VYedJMVp40c0T7G2M4qaWJk1qaDvnekjktw7ax1rJmwxYiIW/IIo3GGCJVYSJV4WHbJaNh1m7bRW86S23i0JxVREREJoeKFiUHBgbYvHnzwa+3bt3K888/T319PQ0NDXzxi1/k3e9+N62trXR1dXHnnXeyc+dOPvCBDxxsc/311zNjxgxuu+02YHCIzP/8n/+TH//4x8ydO5c9e/YAkEwmSSaT5b3ACSw1kMP3A0Le6OaG9FyH7t70OEUlIiJT3v5568p+TpmylI9WTr7kky4UCXvuqNqFPZdMvkBfNq+ipIiIjA/lpGVR0aLks88+y6WXXnrw6wNz6Hz4wx/m61//Oq+++io/+MEP6OzspKGhgbPOOotHHnmEZcuWHWzT1taG86ZFV+68804KhQK///u/P+Rcn/vc57j11lvH94ImEdcxgDnqfsO2dbXIjYiIiJwYlI9WjmMGs9HgmP4GM/vzWREREZmsKlqUvOSSSw6uqjece+6556jHWLNmzZCvt23bdpxRTQ31tQlCIZd8oUQ0Ehpxu5Lv09xQPY6RiYiIiJSP8tHKCXseDck4O7r7qBlFu2yxRDTsUadekiIiIpPapJtTcjLpzKZ5YMfrPLprO72FLCHHZW51LVfOWczKaTPwnMr1ODxpXjOzp9exdWcXLSMsSubyRUKeywVnzBvn6EREZMqy+7dyn1PkBFXwfZ7as4PVbZvY0d9HyQY0RuNcNHMeb5+5gJpIZZexXnXKIr7x4FODCyyOoOejtZZMvsCqZSeTiAw/56SIiMhxU05aFipKjoOC7/Ptl57hl1tfJVXI4WAIuS7WWjb27OOBHa8zr7qevzztfE6fNr0iMTqO4fLzlvDNux+lUCwRDh35UbDW0p3KsGB2I8sWVSZmERERERm5R3dv52svPklbfy+BtYQdFzBs7evh6b07+e7La/nAwuX84ZLTcCv0svziJfO564kX6E5naKxKHHX//lyeWMjjsmULyxCdiIiIjCdNDjjGCr7PF55+kB9tfJ5S4NOaqGJ6spqmWIJp8SQzkzXUhmNs6u3ks4//hifa2yoW60VnLWTZolb29QxQKJYOu5+1lo7uAZKxCH/07rNG9BZbRETkmByYVLzcm8gJ5v7tm/j7Jx9ge6qXhmicmckapsWTTIsnmJGspjVeRaZY4JsvPcPt6x4lqNDPQVNVgj84dwV+ENCbyR5x33S+wECuwKrli1nSeugq3yIiImNGOWlZqCg5xr73yloe2PE69ZEY9dE4rjn0Fkc9jxmJavoLeW57Zg1tqd7yBwrEoiFu+pO3s3zRdDp70+zr7h9SnAwCS19/lt37+kjEQnziQ29jxZKZFYlVREREREbmla4O/um5Ryn4JaYnqoi4h46IcR2HxliC6nCEn7++gf/c9FIFIh30+2ct54PnrqBYCtjdnWIglz84z6e1lkyhSHtviv5snitPWcTH3342xugluYiIyGSn4dtjqDef5VdbXiXmhoiHjjzHjTGG1kQVOwdS3LttI5849ZwyRTlUfU2cz3x8Fasf3cCDT75G+74+gsCCGSzSJ+MRLjvvJK668GQWztEbaRERGV/WBlgblP2cIieSn215hVQhz8xk9VGLd1XhCJlSkf/c9BLvnr+UqFf+Pw+MMfzxBWewsLmRXz3/Ki/t3ENfph9jBqfXCrsuJ09v5uoVJ3HZyQsqNtRcRESmDuWk5aGi5Bh6cMcWuvMZWuNVI9rfGEPU87h/+yb+aOlpJEORcY5weIlYmPdesYJ3XrqcF17dxb6ufkp+QCIW5tQlM2isS1YkLhEREREZnb2ZAR7etZVkODzi3oR1kRjtmRSPt2/n7bMWjHOEwzPGcP6iOZy3cDZb9/Xwyu4OcsUiUc9jblMdy2Y0q3ekiIjICUZFyTH05J42DGZUb29rI1H2ZdO83NXBOS2zxjG6owt5Lmcun13RGERERETk2D2/r53+Qp7pieoRtwm7LqXAsnbvrooVJQ8wxjB/Wj3zp9VXNA4REREZfypKjqG+fA5vlMNJPOPgB5aBQn6cohIREZlE7P6t3OcUOUGkiwUMBmeUvQpdY+gr5MYpKhERkUlGOWlZaEKWMRR2vVGvXGgBYyDkuuMTlIiIiIhMGZ7jYI/hr5rA2mEXxBEREREZLypKjqEFNfWUguDgaoEjkS4WiHkhZiZrxjEyERGRScLaymwiJ4hZyRpCjku2VBxxmwMv1WdV1Y5TVCIiIpOMctKyUFFyDF0xeyFRzyMziiQwVchxWlMr82s0b46IiIiIHJ8VTa0sqKmnJz/yodj9hTzJcJjLZ1d2PkkRERGZWlSUHEMn10/j5PppdOeyIxrGPVAs4BqHd85dUoboRERERORE5xjDu+YvwVo7ot6SfhDQV8hxXstsjdwRERGRslJRcgwZY/iL085nWjzB7nQK3waH3XegmKc3n2XVnEVcNGNu+YIUERGZyDRURuS4vWPuSVwwfQ6d2cwRR/CUgoDd6X7mVNfxp6ecVcYIRUREJjjlpGWhouQYW1zXyP867wqmJ6rZne5nT6afXKmEbwNKQUCqkGNHfx8DxQLvnLeEvzrjQtxRrtgtIiIiInI4Edfj786+lEtmzqc3n2PnQIr+Qp5SEOAHAdlSkfb9eer8mnq+eP4V6iUpIiIiZacl9sbBKY0t3Pn29/Cb7Zv41dZXaU/3UwoCjIGoG+LSWfO5eu5JnNcySwVJERGRN6vEW+Ip+FZaTnxV4Qh/f95lPLJrG7/aupEXO9vpz+axFkKOw7yaOt41bwlXzF5IbSRW6XBFREQmFuWkZaGi5DhpiiX4wyWn8YFFp7CxZx/9xTwh49KarNKbaBEREREZdyHH5e2zFnDpzPls7++lIzNAyQZUh6MsqWvC08txERERqSAVJcdZ2HU5pbGl0mGIiIhMCtYG2ODwczKP1zlFTmTGGOZW1zG3uq7SoYiIiEwKyknLQ69HRUREREREREREpKxUlBQREREREREREZGyUlFSREREREREREREykpFSRERERERERERESkrLXQjIiIiE0dgB7dyn1NERERE5ADlpGWhnpIiIiIiIiIiIiJSVipKioiIiIiIiIiISFlp+LaIiIhMHDYY3Mp9ThERERGRA5STloV6SoqIiIiIiIiIiEhZqaekiIiITBx2/1buc4qIiIiIHKCctCzUU1JERERERERERETKSkVJERERERERERERKSsN3xYREZGJQ5OKi4iIiEilKSctC/WUFBERERERERERkbJST0kRERGZMKy1WFveWb7LfT4RERERmdiUk5aHekqKiIiIiIiIiIhMMnfeeSfz5s0jGo2ycuVKHnnkkSPu/7vf/Y6VK1cSjUaZP38+X//618sU6fBUlBQREZGJwwLWlnmr9EWLiIiIyIQyCXLSu+++m5tuuonPfvazrFu3jgsvvJCrr76atra2YfffunUr73jHO7jwwgtZt24d/+N//A/+4i/+gp/85CfHf7+OkYqSIiIiIiIiIiIik8jtt9/ODTfcwMc+9jGWLl3KHXfcwaxZs/ja17427P5f//rXmT17NnfccQdLly7lYx/7GB/96Ef58pe/XObI36A5JYdxYBx/KpWqcCQiIiKVceB3YLnntimU8mU9X6XOKTISyklFRGSqm4o56Vt/70ciESKRyNB9CwXWrl3LZz7zmSGfr1q1iscff3zY4z/xxBOsWrVqyGdXXnkl3/nOdygWi4RCoeO9hFFTUXIY/f39AMyaNavCkYiIiFRWf38/NTU1436ecDhMS0sL33zin8b9XMNpaWkhHA5X5Nwih6OcVEREZNBUyUmTyeQhv/c/97nPceuttw75rLOzE9/3aW5uHvJ5c3Mze/bsGfbYe/bsGXb/UqlEZ2cnra2tx38Bo6Si5DCmT5/Ojh07sNYye/ZsduzYQXV1daXDmrRSqRSzZs3SfTwOuodjQ/fx+Okejo3JcB+ttfT39zN9+vSynC8ajbJ161YKhUJZzvdW4XCYaDRakXOLHI5y0rEzGf7dnQx0H4+f7uHY0H08fpPlHk61nNRaizFmyGdv7SX5Zm/dd7j2R9t/uM/LRUXJYTiOw8yZMw92ma2urp7QP6SThe7j8dM9HBu6j8dP93BsTPT7WI630W8WjUZVGBR5E+WkY0/3cGzoPh4/3cOxoft4/CbDPVROeqjGxkZc1z2kV2RHR8chvSEPaGlpGXZ/z/NoaGgYt1iPRAvdiIiIiIiIiIiITBLhcJiVK1eyevXqIZ+vXr2a888/f9g255133iH7/+Y3v+HMM8+syHySoKKkiIiIiIiIiIjIpHLzzTfz7W9/m+9+97ts2LCBT3/607S1tfGJT3wCgFtuuYXrr7/+4P6f+MQn2L59OzfffDMbNmzgu9/9Lt/5znf467/+60pdgoZvH0kkEuFzn/vcEcfvy9HpPh4/3cOxoft4/HQPx4buo4iMhv7NOH66h2ND9/H46R6ODd3H46d7OPldd911dHV18fnPf5729naWL1/Ovffey5w5cwBob2+nra3t4P7z5s3j3nvv5dOf/jT/+q//yvTp0/k//+f/8Hu/93uVugSMLfe66iIiIiIiIiIiIjKlafi2iIiIiIiIiIiIlJWKkiIiIiIiIiIiIlJWKkqKiIiIiIiIiIhIWakoKSIiIiIiIiIiImU15YuSX/ziFzn//POJx+PU1tYedr/vf//7nHrqqUSjUVpaWvjUpz51xONecsklGGOGbH/wB38wxtFPDON1D/P5PH/+539OY2MjiUSCd7/73ezcuXOMo584RnIf3/pMGWP4+te/fsTj6lkc6lju4VR6Fkf68wzQ1dXFzJkzMcbQ29t7xH2n0nMI43cfp9KzKDKVKB89fspHx4by0eOnfHRsKCc9fspHZTKY8kXJQqHABz7wAf7bf/tvh93n9ttv57Of/Syf+cxnePnll3nggQe48sorj3rsP/3TP6W9vf3g9o1vfGMsQ58wxuse3nTTTfz0pz/l3//933n00UcZGBjgXe96F77vj/UlTAgjuY8A3/ve94Y8Vx/+8IePemw9i0ON9h5OpWdxpPcQ4IYbbuDUU08d8bGnynMI43cfp9KzKDKVKB89fspHx4by0eOnfHRsKCc9fspHZVKwYq219nvf+56tqak55PPu7m4bi8Xsb3/721Ed7+KLL7Z/+Zd/OTbBTRJjeQ97e3ttKBSy//7v/37ws127dlnHceyvf/3rsQh3wjrcfbTWWsD+9Kc/HdXx9CwONdp7OFWfxSPdQ2utvfPOO+3FF19sH3jgAQvYnp6eIx5vKj6H1o7tfZyqz6LIVKJ89PgpHx0bykePn/LRsaGc9PgpH5WJbMr3lDya1atXEwQBu3btYunSpcycOZNrr72WHTt2HLXtj370IxobG1m2bBl//dd/TX9/fxkinniO5R6uXbuWYrHIqlWrDn42ffp0li9fzuOPP16OsCesT33qUzQ2NnLWWWfx9a9/nSAIjtpGz+JQo7mHehYP9corr/D5z3+eH/7whzjOyH+N6DkcarT3Uc+iyNSlfPT4KR8dW8pHj5/y0eOnnPT4KR+VSvMqHcBEt2XLFoIg4Etf+hL//M//TE1NDX/3d3/HFVdcwYsvvkg4HB623R/+4R8yb948WlpaeOmll7jlllt44YUXWL16dZmvoPKO5R7u2bOHcDhMXV3dkM+bm5vZs2dPuUKfcP7X//pfXHbZZcRiMR544AH+6q/+is7OTv7u7/7usG30LA412nuoZ3GofD7PBz/4Qf7xH/+R2bNns2XLlhG103M41LHcRz2LIlOX8tHjp3x07CgfPX7KR4+fctLjp3xUJoRKd9UcD5/73OcscMTtmWeeGdLmcF2av/jFL1rA3n///Qc/6+joGHX35GeffdYCdu3atcd8XeVU6Xv4ox/9yIbD4UM+v/zyy+3HP/7x47u4MhrL+zicL3/5y7a6unpUMU3lZ3E4R7uHJ8KzOJb38NOf/rS97rrrDn790EMPjWiozFtNtufQ2srfxxPhWRSZSiqdSw1nsv3bW+l7eKL8u1vpXGo4U/lZHM5UyEetrXwuNZyp/CwqH5WJ4ITsKfmpT33qqCtozZ07d0THam1tBeDkk08++FlTUxONjY20tbWNOKYzzjiDUCjEpk2bOOOMM0bcrlIqfQ9bWlooFAr09PQMeQvT0dHB+eefP6LzTgRjeR+Hc+6555JKpdi7dy/Nzc0jajOVn8XhHO0engjP4ljewwcffJD169fzn//5nwBYawFobGzks5/9LH//938/ouNMtucQKn8fT4RnUWQqqXQuNZzJ9m9vpe/hifLvbqVzqeFM5WdxOFMhH4XK51LDmcrPovJRmQhOyKJkY2MjjY2NY3KsCy64AICNGzcyc+ZMALq7u+ns7GTOnDkjPs7LL79MsVg8mBBNdJW+hytXriQUCrF69WquvfZaANrb23nppZf4h3/4hzGJqxzG8j4OZ926dUSjUWpra0fcZio/i8M52j08EZ7FsbyHP/nJT8hmswe/fuaZZ/joRz/KI488woIFC0Z8nMn2HELl7+OJ8CyKTCWVzqWGM9n+7a30PTxR/t2tdC41nKn8LA5nKuSjUPlcajhT+VlUPioTQmU7albe9u3b7bp16+zf//3f22QyadetW2fXrVtn+/v7D+7znve8xy5btsw+9thjdv369fZd73qXPfnkk22hULDWWrtz50570kkn2aeeespaa+3mzZvt3//939tnnnnGbt261f7Xf/2XXbJkiT399NNtqVSqyHWOp/G4h9Za+4lPfMLOnDnT/va3v7XPPfecffvb325XrFhxQt5Da49+H3/xi1/Yb37zm3b9+vV28+bN9lvf+patrq62f/EXf3HwGHoWx/4eWju1nsWR/Dy/2XDDPKb6c2jt+NxHa6fWsygylSgfPX7KR8eG8tHjp3x0bCgnPX7KR2UymPJFyQ9/+MPDzsPw0EMPHdynr6/PfvSjH7W1tbW2vr7evu9977NtbW0Hv79169Yhbdra2uxFF11k6+vrbTgctgsWLLB/8Rd/Ybu6usp8deUxHvfQWmuz2az91Kc+Zevr620sFrPvete7hrQ50RztPt533332tNNOs8lk0sbjcbt8+XJ7xx132GKxePAYehbH/h5aO7WexZH8PL/ZcMnLVH8OrR2f+2jt1HoWRaYS5aPHT/no2FA+evyUj44N5aTHT/moTAbG2v0TB4iIiIiIiIiIiIiUgVPpAERERERERERERGRqUVFSREREREREREREykpFSRERERERERERESkrFSVFRERERERERESkrFSUFBERERERERERkbJSUVJERERERERERETKSkVJERERERERERERKSsVJUVERERERERERKSsVJQUkYqaO3cud9xxx7gc+5JLLuGmm24al2OLiIiIyIlDOamISPmpKCkiI/Ynf/InvPe97z2mtt///vepra095PNnnnmGP/uzPzv4tTGGn/3sZ8cWoIiIiIic8JSTioicGLxKByAiU1tTU1OlQxARERGRKU45qYhI+amnpIiMidtvv51TTjmFRCLBrFmzuPHGGxkYGABgzZo1fOQjH6Gvrw9jDMYYbr31VmDoUJm5c+cC8L73vQ9jzMGvh3sbftNNN3HJJZcc/DqdTnP99deTTCZpbW3lK1/5yiExFgoF/uZv/oYZM2aQSCQ455xzWLNmzRjeBRERERGppP+/vfsJhW6P4zj+MRobQjQlIUpsbCZZmPwpEVnYyUJNZMPan50sFCESJRsmJLJgJ9GYWVA0SJosCCk1kpK/+TPMXdyunvM87r2Pi7mm3q86i/M7v993zjmrb5/mnENPCgChg1ASwKcwmUwaGBiQ1+vV2NiYlpeX1dLSIkmy2Wzq7+9XdHS0fD6ffD6fmpqafqnh8XgkSQ6HQz6f73X/dzQ3N8vlcmlubk6Li4tyu93a3Nw0zKmtrdXq6qqmp6e1s7OjyspKlZWVaX9//wNXDgAAgO+CnhQAQgePbwP4FD++vDstLU3t7e1qaGjQ0NCQIiIiFBMTo7CwMCUkJPxtjb8em4mNjf3HeT+7ubnRyMiIxsfHVVJSIkkaGxtTUlLS65yDgwNNTU3p5OREiYmJkqSmpiYtLCzI4XCoo6PjPZcLAACAb4ieFABCB6EkgE/hcrnU0dGh3d1dXV1dye/36/7+Xre3t4qMjPzS3z44ONDj46Nyc3Nfx+Li4pSZmfm6v7W1pUAgoIyMDMPah4cHxcfHf+n5AQAAIDjoSQEgdBBKAviw4+NjlZeXq76+Xu3t7YqLi9PKyorq6ur09PT04fomk0mBQMAw9mPdn4+95eXlReHh4drc3FR4eLjhWFRU1IfPEQAAAP8velIACC2EkgA+bGNjQ36/X729vTKZ/nxV7czMjGFORESEnp+f/7WW2Wz+ZZ7FYpHX6zWMbW9vy2w2S5LS09NlNpu1tramlJQUSdLFxYX29vZUWFgoSbJarXp+ftbZ2Zny8/P/24UCAADg26InBYDQwoduALzL5eWltre3DZvFYpHf79fg4KAODw81MTGh4eFhw7rU1FTd3NzI6XTq/Pxcd3d3b9ZPTU2V0+nU6empLi4uJElFRUXa2NjQ+Pi49vf31dbWZmgIo6KiVFdXp+bmZjmdTnm9XtXU1Lw2o5KUkZGh6upq2e12zc7O6ujoSB6PR11dXZqfn/+COwUAAICvQk8KAKGPUBLAu7jdblmtVsM2Ojqqvr4+dXV1KSsrS5OTk+rs7DSss9lsqq+vV1VVlSwWi7q7u9+s39vbq6WlJSUnJ8tqtUqSSktL1draqpaWFuXk5Oj6+lp2u92wrqenRwUFBaqoqFBxcbHy8vKUnZ1tmONwOGS329XY2KjMzExVVFRofX1dycnJn3iHAAAA8NXoSQEg9IUFfufFFwAAAAAAAADwSfinJAAAAAAAAICgIpQEAAAAAAAAEFSEkgAAAAAAAACCilASAAAAAAAAQFARSgIAAAAAAAAIKkJJAAAAAAAAAEFFKAkAAAAAAAAgqAglAQAAAAAAAAQVoSQAAAAAAACAoCKUBAAAAAAAABBUhJIAAAAAAAAAguoPW127WQqIglcAAAAASUVORK5CYII=",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {},
@@ -1941,7 +1796,8 @@
     }
    ],
    "source": [
-    "fig = plt.figure(figsize=(16, 8))\n",
+    "plt.subplots(nrows=1, ncols=2, figsize=(16, 8))\n",
+    "plt.subplot(1, 2, 1)\n",
     "\n",
     "plt.scatter(\n",
     "    lonlat[:, 1],\n",
@@ -1954,8 +1810,24 @@
     ")\n",
     "plt.xlabel(\"Latitude\")\n",
     "plt.ylabel(\"Longitude\")\n",
-    "plt.title(\"Prevalence of Malaria in the Gambia\")\n",
-    "plt.colorbar(label=\"Posterior mean\");"
+    "plt.title(\"Estimated Prevalence of Malaria in the Gambia\")\n",
+    "plt.colorbar(label=\"Posterior mean\")\n",
+    "\n",
+    "plt.subplot(1, 2, 2)\n",
+    "\n",
+    "plt.scatter(\n",
+    "    lonlat[:, 1],\n",
+    "    lonlat[:, 0],\n",
+    "    c=gambia_gpdf_4326[\"prev\"],\n",
+    "    marker=\"o\",\n",
+    "    alpha=0.75,\n",
+    "    s=100,\n",
+    "    edgecolor=None,\n",
+    ")\n",
+    "plt.xlabel(\"Latitude\")\n",
+    "plt.ylabel(\"Longitude\")\n",
+    "plt.title(\"Measured Sample Prevalence of Malaria in the Gambia\")\n",
+    "plt.colorbar(label=\"Sample Prevalence\");"
    ]
   },
   {
@@ -1967,12 +1839,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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zLJlqguvZINniUQFw81Ykf9nHDnYOZwGHV7neg+edNRfhq49xWmdl1GV4e3FMhko3BiNEHiaKkstABABOXL/htnvmd5aMO2a2BCAVs7T/Q23hGgDguPQYRhuH2tRpJFxEeSHF+vpnc0vclmxniBwW7XNgiitfmV1qc/PWqhQFIkEBOuaLUInGYISoGKkb4g+VgxkkdzP8rceTX6yJ+uG+svWykyeVUjJLxtnMFqVeVu/BC+qcZy53RPtpqF55VuX42vSCzaZxha0ugEA/+XNGo2VEJDIQGPxCdfho5f98mkQRh87dRUTFIHSMDIZG5XhWSjlfZSMiDESopGMwQlSMqATB4cqYuYOUGiF62VkaFsdsXsnNDlEySwZQvpy6qzoAMO/9721eN48oj5jX89SNCQRWWA6vSxVwQar8UPecsek3LNlvWVH0Py1VmNits12d8wl30WnuXwCAL955CrUqlZdtKz3diNEbTgAAXqhZw+FsJpNJhNlgiWgqBfpxiiyRAgxGiIqAs+RUUZQgShJOJ9yGWcpwODJy4VaS9fhf/zuFYJxy2GZ2ciogn5xakMRUpfWy67RSnURrVU4fR2h+sR7vNTfAnPOdcCxPe4FIRWPV/8EEFU6IjylKOgWAEUvk65zM2UAc8fEi/rkab1fnxj2T9Tg5KwvJqfILy6WbjBCzl1MXRZhM8sumczl1ovxjMEJUyFwlp4qShO4LovLd7k0H5cUlObWpcB7/zRWA5HZDKo9jUg278iT4YY/YKN/32uR6mRH8GgP8uuio0zqjVh9FmUDXq5huiU6A3sFjGiLKP/5rIipESpJTL9xy3/LtQP6SU92RmApIUCNnNMAMFeB0XVTgqqRstdCipiQQKeOtURSIcDl1IuUYjBAVEUfJqWYpw3o8r28DVAuSDw66zf/H5rWjhc1zz7lxlZzqjsTUYNzH317Dra9rZK6CCRqclCKw1vScXf1rUhCWml94qHvm9mQAEFJB/pwoAtduAy2frIxna5d3mkxaq7x8rkhePl7yuSJ5MRAhUo7BCFERcZScmjtAqRakR8PK8mFGIICkXMd/F+ES7t7IxDuaDXjrGfuZLT//edjm9cWPXgDUWgC2bSq954CZmxH14BttFQisfde+Xu4l18f1l19yHbAkk/5ywhKeNQ0PYYBAVEwxGCEqAhlZRqRnGGVHRjKNOY9xFv38D4IdDHkk5TkujKRTR/Qw4i3NZmC//bnueWad1nhvC0wK/rR0f0/+nsdzPdWKS7IEHnlduJGTZMpkUqJHH4MRokK2ZO9F3Ek1ItBLA8gEI4kpOYt8/XYNwLUi7JybXZcqwARla2IcV7DSeQxcr5uy+9xd3EzkiAfRo4zBCFEhSs8w4k6q0Wmdo7FpTs8XBwZoscrUwWmdDOjwg/lZuEpedbfaFR0kjOTCZFKi4o3BCFERmdajLvw0OrvyMckJlhERABFq4Nkm8tev+Ee+vCikwwuTTa+7tc1GDgZQksyWEREVgDn9ayI0wH6lWZMoYt+Z23isUkW8WL8SNGrngQYDEaLijcEIURHxUWtlV+3Mvflug6rABy/JJ3au+EdZAmjeRc4crWAaKcTgKdUZCBAx6cVI2bY+3XwcMVIl7BIbwwgNLszqLtuWkn6N/Hozfr5kOe7+GPDFv+Xrxd5JQvvPLeuuPB4ajCoV7Kfbmkyi9dGMRq1isEH0iGMwQvQQHCVOWs+LIiRIuJeYhG2XLsFPZz8ycj3XJrWbLgOb3JiY6qheGG7jJ90U6IUHj5C2yV87LlegNMU4ENUmuP6TMXyxfL/+jsk5TkwEYm4nytZLSDFAerAVr6PkVCamEpUsDEaICmj3uVu4n+Y8HyTDZMRfl+8BAEZ/o2CZ0CISoUpAGvRIl/QoK6QquiZBKquo3q8xruvsuQvr6IcsCZAA/BGdgKDAdEX3JaJHF4MRogIwmUSXgQgAnL52w2UdT9gnNsDjWUvQSnUSr6n/cFn/mPgYtolN3XZ/V/NtJAA6tYCgwACn9ZiYSlQyMBghekid6zveJl7SJGPNIcvIyIinw1H/MftkzP+sOFuo/XMmSmyAKLGB29rTAuhUTf5cSoplREQDYPVbjRHiZ/9eAHiwaWAywssGom4l+VVrszEQISoZGIwQPSSNynECZe4gpUZVPTrWeUymlm0w4mo1VFf1lCawuuue7/xvMzZetBy/WAOY+6Z8W/H3UqyPZqoGBiC0nL9sPVGUkGbISU6VW7WWiEoWBiNEJVhZJANpd+zKyyEZAJAMH0WrpRIRFSb+FSJyQBQlp+dESUJyZibupKQ7fEyTmG6wHo9YcxELcNHlfR92mfeB6q348MHxfq+RwKfv2NU54gX8JdbF24bhyIJW8T3f+9a+3pErOccZGcC95Ay7OgBwP8sAPJglI0qSw/dXlBy/70RUMjEYIZJx6XYq0rMcr1duEkV8vPUMMgwiFu66AsHBqqNpGVk2r8+5tZfy+ql3WYMRZ55SncEhr2E4IUagm+EjRW2vPe78/O9xQPTCA7LnzCYTsuOPMwkpuJ/BoIOILJj9RZSHKEpOAxEAuJ+WgQyD67Uu0hTsv+JuyfBRXDdd0mOFqZPb7l3Wfk03O1qNgAAfvct6Pno180WISgmOjBA5UTdEfjbHrSQ1snNWV7/RFBUcfLg2nbnL5nVtmTruHi3pY5gC4CUAwOOZi6ASvRzWNUALs8KN7QBgQCP7sjt3LCMiALDg9caoU6Gc7LXpRiMmbToNnUaDehUD4OPtPHJhIEJUejAYIXJCJQiyH4qWAMVSXs5bhwqB8qMRPgDScx3/XsgzWwDb2TQZ8ELsrN4Fbitywmab/n/Uz77e2Rt38PsXfwMAynnrUS7AW7Ytr3QN9BpLAOLofSWi0onBCJED2UuRy31omiTLI5q0DCM2nT2LCr7ya2ak5zlWkij6sAmsBan3lIM6eft/PuGuXZ1r9zJz6hiNSE+XXwwu3ex6kTgiKp0YjBDJ+OfqPaRkmHD5dprsY5rEjAzcz7B8uH64McHu/KNG6XfQae5fdmW501Bnb7mAAN94t/SJiEoPBiNEeZhMIlIyTE7rnLh0xen5wlJFuImawnWndcqob2POg2MdjDDBcc6Iu/l5u75XpUC97O7FRFR6MRghcqJzvWDoNPYJnncNCfjptGU8YdATQWhcR34PlXfWXnJbX5oIF/C9bhq0gvMpOmmQrMFIA+EyjkIm6zSPSg7Kc4+YTO5eGa0jKtvVSTUY8MFPZ+Gt1+PD7vVkdybOjYEIEeXFYITICUdLvatyLXJWpaoWPRrUkb3+HdgGIw+zNPt7741CnFQBKklEFdVtl30HgET4KbrnXw7uufP8FQxedtpyTfkA1KpU3q5OapoBvt6WpFUfrZbBBhHlG4MRIgfMkuMEVinXEiOrf4zHqVPK8iQeLoG1Pdaa2+M19TYMwA6H16eLIoAzAIBLUqiie+6+ECNbfu5qzmqqmSYTMjPtH19lmp0/0iIicoXBCJGMK3fSkGE0Y3P0DWjU9o9pLsSm5tQFcOV80fVttbkjVps7OjwvGjKRvc4IHKwMm9egpdEu66yNikfU2Uy7crPkevE3IiJnuAIrUR4mk4gMo/O8jF+PJBdRb4qPymXLOD0f6K2Gl57/f0NE+ce/HEROdIoMho/ePgdi3vfHkJrrda9a8tf/WIQjJgXVojzwVo96sufSjUYs2nIelSoE4f861YKP1v69MJlF/Bp9A3oN/5wQUcHwrweRExrBQQJrruPHAMwZLJ8A+qOC5FSlCayNJnyHMoIlBEqXvHBo1gDZerlXYHXU3tgVm/HDWctxWBDQpmY12bbS043YFGwZBfJSa+DlZf8nw2QSGYgQ0UPhXxAiB+4kJeLIjRuyowFJuY4v4eFXQ5UkCZLRssNv3mAi21vq3/CO9kcAwC9ic1QZLb+mh2S0zeuYvdU+2TU6NufYYLDMiJGTbjJCfJATkr0ibV4mkTkjRPRwBEmSiv0+3snJyQgMDERSUhICAuTXcyByl/R0IyKnbSuy+0mShJtrxyMr7ozb2w4f9QNUOtcLkbWobj9lFwAkSEh7sINx/+bh8HIxAtK1YYjsSBIRlU5KP7/5V4MojyM3bhTp/SRjVqEEIvqwSAha+d2Ec6td1vWMGz+dCjqZWUW5lfXVMhAhogLhYxoiJ6Z3rY164fab4PVaeKRQ7ld3+Fc45D/WZb01pufwkelVp3UErR6CIGB4G/uRkdjYTGy6bDke070OWobbr6wKAKIkIfpWMrw0GtSrFOB0p10GIkRUUAxGiJyIqKTD41VCXNZzlHSqJDk1d46IoPWGb6j8aq4XblmSV+Ol8lgldkfsnN6K7jn2+efs6uy7FItNl08CAHy0Gvj5yi/hLoqSdXl3jUblNBghIiooBiNExUgKfIDhB2XPdVCYJEtE9KhhMEKljtyMkNzMuU6v2nwSu6ucdNnmw8ymUSNngbWawnVUn/ALRAXpXErv+c9V+6XqL98wKrqWiKgoMBihUmX3uVu4n+b8g/jMzXvW423xAJRtO1Ngfki3Hm/ST0IzcRnS4O229l9adNRtbRERFQZmnFGpYTKJLgMRANh1MK4IelN8NA0L9XQXiKiU48gIlUqd6wdDo5KPxX/bdwwXHmxWGw6g01P2df73V+H1zZ3ahgDDejSxK880mbBsxyWEVKjggV4REdliMEKlkkYlv8w7AOSOUepVBt7vYT8D5n9/KVvCXclsmgajV9i8jp7aCdD7F6gtAHh37WZ8+yDNpVIFoGlV+5GPzEwTfquQZFdOROQJDEaoRBFFxwsKi6IEUZKQmpGFOynpDkdGsnKtpr71OtBMQaLowySw5g076k35XVHOyBc79sqWn871lMlksgQeeWWaTBBhea9EUXL4vonFf4FmIioBGIxQiXHpdirSs8wOz5tEEZ9uPYM0g4gvd12CSpAPRm6l5nntzk4+UBH3sUQ3BwCgQzLk98x17vPtKS7rbDsD6LbYr+4qSRLup1vyZ7IXNSMi8hT+BaISQRQlp4EIACSmZiLNULSbulURbiIQaQCABKkcbqMMAEAnGNFYdQkAkKayHX2Q4L6FxZpHOB9h8fdSu1zmHQB89GoueEZEhYbBCJU4dUP8oRLsPzhv+aqRnSay+t9NEeQtv4Fc05m7bF5XlKmjdLTk/zTf4kW1ZRGzGcZ+WGLu6rT+CTEC6XC9sR0AjOpgn1cCANevp2D9g8GQAe0fQ/OwMLs6oijh9M1kaDVq1Atxvsw7AAYiRFSoGIxQiaMSBNkPT0uAYikv76VHhUAfRe0dlEkUVZpMunnSXPl6WanABcsOlqNX/A3gUwDAG4axiJmjLBl25HPPyNb768p1rD9zHACgV6nh5WX/z1wUJei1lnKVSv79IiIqKgxGqEQxiSJMJlH2w9UkiZAgITXDhH/i41ExyX4DPDmOklMlSYJkzAJgu79Mbp9rzUhTWx7DGIxG2XqSsZH1OBU+ihJmAeBUnPz4zNU7BuuxKMknpzIxlYiKEwYjVGL8c/UeUjJMuHw7TfYxzf3MDCRmWGaWDF11/qHuJUkSbq4dj6w4++TQ3F6yebXswZdzSh8BdfnykMs6F2+lwV+XrLBFIiLP4AqsVCKYTCJSMuynsOYWc8t982IkY5bLQCS/9GGRELR6t7ZZs2J5p+eZmEpExQFHRqjE6VwvGDqN/QwRvVc6Vv11HwAw8fnH8HhEgOz1+d3LpfLwNRC08kmnn2sX4Hn1PwCAT40vY5n5BYftCFo9BEGQTZgFbEdMnqkAjO/3pGy95KwsvP/DWfh6e6NuRX8E+DgOcBiIEFFxwGCEShxHq6vmXuSsWiWt7MqkFrbBiFxyau7cD0Hrhdg5vWVb2jxpMXzVlg98naBF7Ef29fLmpMglzALAqKWb8dMFy3H5skD9MPmwJTk1C77eVwEAKjA5lYiKPwYjVKIYzGZkGkyySZtZppx1SGavOIufws8qalPJ6qqO6izQ5r+tDzfK1zkRk3OclWUJOuQkGw2y5URExRWDESoxDly+jdQsEbdTMqFR2T+muXz9uvX4PIDz14qwc/mgZBO+LbHAteWuE1iJiB4FTGClEiHTYEJqlvPVVQ/EF+3qq4WpWhnX/x8RHKBHgJ97E2KJiAoDR0aoxBnToSYC9PYfwocOxiL3hN7O4fLX/6ZgxESDnJk7R/RvwVeXk5fRwfAJrkuO0lBde/Mp+fL4eMuICABM7VUXTUKDnbbDQISIHhUMRqjE8VJrZFcdzV0SCWDRMGUrncolsHYZ8wmuPDj2FgzwzrWuyb5xbYByEQCAPu+ewXZzUwBAtFRNtq2893u/h3y//rkajy0PZvr46jUMNoioxGAwQlQAPoJ88mheB6W6ABc7JSJyisEIlSgpKSmISUxEQIb9qEFaruPTUDazBQ7qNct1fEMqiyFZE62vr35yAkacVtxWXmdv3JEtv3aPs2SIqGRiMEIlxsm4JABArwX/ZO+HZ8P5+qwFZ5Q0uIjKbmvv+S/+dltbRESPAs6moRIhJjHR010oUnUqVPB0F4iI3IYjI1TiLH61MWpUtN+Rt81nUR7oTf7UATB3ZHPZc6kGA6b+fA5+Xt5F2ykiokLGYIRKnIqBGlQLKuOyntzMFkDZbJo+Y4+4ra2+0zfj7wcJLYG+QJ0Q+VGP1DQD/LxiZc8RET3KGIzQI0FueXeb81LO+T9On8b5u3ddtvkwCaxlxDDr8YemVxGlsK33vrWvdzZXZq3ZDBgMZrs6AGAQ5cuJiB51DEao2Lt0OxXpWc4/iE8nJFuP5+1MB6yrgBSOewi0Hv8pNlScfLX2uPPz5zOBxXsvy54ziiVnBVkiotyYwErFmihKLgMRAIg+e6EIelP4nqkf6LKOj04NndZ+7x0iokcVR0bokVE3xB8qQWbOLoDywT5AdDoAoGukFs82sp9qO/bbwh0tUWJAI/uyc+eAfzItx+0aVECXutVlrzUYzVBBglpmE0AiokcZgxF6ZKgEASqVfDAi5ApSqofo8FKjSLs6eYMRZ0mnAUiFPzIAAFET2tnVeWrab8i9hY3SBNaP+tnX23TqHP5ZcxEAoFEL0OkcBxsMRIioJGIwQo+EDIMR6RlGhyMjJlPOo5yNO9KQmOg6odRRAusb6s14T/MNVMKDpNi59nV2eEnwe3A8SbMa1SZ4ubwfAOy9eNWu7EpspvXYJIowmeRzQ0zMGSGiEorBCBV7S/ZexJ1UIwK9NICDYCT6dM4H+lUAKw8X/H591btzAhEFnlCdd13pgX/975TT88cuJ0Mw3ZA9l3vGEBFRScIEVirW0jOMuJNqdFnvmhs/p6eYBmG44W3F9ZebOrnt3jUqBLms4++tgUbDf7pEVHJwZIQeGdN61IWfRid77kx0AnI/ABn4hH0dpaMlB8R6ACT8mvmUwzqiIRPAywCAn8XWiqP6VW/Wtyu7k56Ocd9cRlkfLTrWq4gK/j7y9xQlRCckQ6NiIEJEJQuDEXpk+Ki18PHRyp7LXVoDwNSX7RNFVx52vRoqkJ1LIjitV2X0hny0leOZGlXt6txJSkd5vzgAgEalcjjqIYoSAxEiKpEYjNAjwWDIwp30dGSa5PfeNeQ6vghlq6s+zAqsefWfoaytxJRM+zKDQaYmEVHpwWCEir2jsfdgEiW8tPhvqAT5qa23irhPee1Pdl0HAF5a8rddmchZMkRUyjEYoWLtTno6TC72pXG3GZqvESwkAgDmmF5GtFStSO4b4K1BGV9lU4SJiEoSBiP0yPh64BMID5RP7mw6c5fb7tNCdRoRqpsAgOXm5wEFsVDLAPny3CMmbzYXMLx9c7s6JlHE1uib8PWST84lIirpGIzQI6OstwYVHAQjeckllObN/XCUdHpl8iiX9fImsH4zUb6tT7Zsx8K9lpwQnV6LMv72Ix8mk8hAhIhKNabmExERkUdxZIQ8SnSRDyI+eEZiEoG9V68iNilJUbsPM5tmlw6QJAnpRsBkMNiNggCAZLSdFbPqn+OybZ27ljNTxmw2w2Cw34HYJIrW1VVFUXL4nnAFViIqqRiMkMdcup2K9Cz7D+fcriWmIHurlsk/XAdwvdD7JUkSWq9Ix/5rZgBTFF1j6Ztz+y+Y4et92WkdLmpGRKUR/+qRR4ii5DIQAYDoq/YbyxW2DKP0IBBxTR8WCUGrV1S3QXhFp+f9vTWKAhEfvdrh7sVERI8ijoyQx9UN8Xe4G+/RhAAAlikpQ1uG4KnI8rL1XG1ABwDlkYSvdZ+hgXAF00yvYbW5o835KZqVeFX9BwzGnIXVeo94DwfVTRy2KWj1EAQB016qLHs+7sYNfBVlCWy6Nw1Dk7Bgh20p3W+GgQgRlTQMRsjjVILg8AM2d5ASGqaRXU7dwjYYkZsB8957o/C46iIAoKKQaF9ny27goNlmNVdJ44PYz3rbtZU33+RfTRvJ9upIbEV8FXUEAKBVC9Dp5BdtIyIqzRiMkEeJkuOETcv5nOPtO6/h5p07itqVS059U51lPX5bs9GuzgeaGAzK8y/ilFRVUTLsxZv3ZMvj73OpdyIiVxiMkMdcv5+OTKMlO9XRY5q7t9Ksx3vuAnt2Zbjl3lHmenZlX5p6YoW5E8yGLADDAQAZ8FKUWNXx8wOy5VzonYjINQYj5BGiKFkDEWd2/Ck/4vCwkmG/eNpdBOKuFAhRst/Mzh1qlCtXKO0SET3qGIyQx9Wt5A+NWn78oXw5AHctxyEAXmrrLVvvSzeNmBREVQBLR7WQPZeclYVx352Cj5d8v4mIiMEIFQPOElhzP72pXQEY06mdbL0vd7le6v3D95QtB593kTO5el0mbLamzPoDqBEsP+qRnJrFQISIyAUGI+RRaUYDUjMMDtfXMBlzjnffAeooSCYFHCWw5qysmmk2y66sCtivrvret/Ztnc91bACQmiafqJpqYgIrEZErDEbIY1b/HYPkdBN+PXYDgiAfjBzIs/r7w2RzSJKE1suzV1bd/eDLtbXyK71bnQfw77VHHN1UeQeJiEoprsBKHpGaYUByusl1RTcyGk2KV1YFlK+uWsXfdVsVfLXw8+HOvEREcjgyQh43++UGKKOX/9CvP327zWsvB23kd8Tkm1FP4/8w0mmd7NVVB8isZ3boeM6jmr6ty2Ng08dl2xAlCadvJsNXz0CEiMgRBiPkcX5aLfx8lX1Yn3WQdJo3R0Qu6XTkuJzAJlEThNhP7FdWlWvro372bS2peggzNt0CAGi1aof9F0WJgQgRkQsMRsijEpNS8U98PMp4ORrzsKVkNVRH9UTz0wC+AADMNPXHxwrb2njyrF3Z1dicxFTJySqyInNGiIhcYjBCHnPxdioA4M3lZzzcE+feWXvJ6fn797IQHZ9cRL0hIip5mMBKHvFPfLynu+A2TatXd1nHR6/mbrtERA5wZIQ87v3na6BxhPyUlJcWHS3i3tibO+Axu7KbycmY+ctteGlUqBXsh8rlApy2wUCEiMgxBiPkcdVCtGhaNdTBWdtgxNGqqbPfexNvarbAC5ZcDi+t2q5OWnoG/B4ch+Au/p71H/n+5Mkl6dGgjl2d63eT8flvlnXqna0gS0RErvExDT36TAaM0PyIMkIavAQjvAQjYMq0/8plrPY7D3WWiIjy4sgIFRqTyfGuvGKuU1sPnMH5mzcVtSk3S0YPA9brqsBPykB1VYKidn41t8A4hbNpbiWm2ZXdTTfK1CQiooJgMEKFYve5W7if5vgD+9SNROvxD2cBnL1X4HtlQYduho8QgFQECUkO65kNWQBGAAB2iU0UDwt2+iLKrkwCp+wSEbkLgxFyO5NJdBqIAMDh0zfcft9k+CFZ8nN4XpQeZmcbeV5aFSr6+7q9XSKi0oTBCBWqzvWDZXfkjTpxDMcs+Z9oUhbo0KKc7PWfbCn4iIk7PF0e+OzfrezKDWYzVhyIQYCXtwd6RURUsjAYoUKlUamg0dgHI7njk5ohwNBnWshe/8kW18u8A8qWg68yeoOitt76cjN+j7Mc+3gBFcvYj3wYDGYGIkREbsJghAqNWRQdJrHmTmD9/jSQurDgy7yrIKKBEGN9fUaqomjZ+C937ZMtP5/rCZIoyifimkTHyblERJQ/DEaoUJy5kYS0LDMkQPYxzekLtq+3xBb8XnoY8Iv+fevrxzMX4x6cL0IGAJ/97jjZNdvFO8AvJ+zzW7jnDBGR+3CdEXI7k0lEWpbZaZ3Tzk8XG83ry68Mm83fWyP7GIqIiJTjyAgVqs6RwfDS2f+ajfr+mM3rF6rIX/8wIyaujOkUKFt+4kQStj8YDImsXgZdG4bY1RFFCdEJybKjPkRElD8MRqhQOUpgzWvh0IInpsKQBsyAy3p5E1jfbtta9p5rAk5g+/prACyJtnL9F0WJgQgRkZswGKFCI4oiTGbHSay5NVS4GqpcYqo3MnHGC5AkCelGwGzItAs8AEAy2q4z8teV67L3SEgwWI9FSYIo2ueHMGeEiMh9GIxQoYhLzECWScTm6BvQaVz/miU/5P0kSULr5enYf80MYLCia1756rjLOrcSUhAd/7C9IyIiZzjOTG5nMovIUjAa4k7pRjwIRFzTh0VC0OoV1X2sSpjT8z56NXfsJSJ6SBwZoULVKTIYfl46u/K8CayOJuIWZEyi/vBFSNIGOTwvaPUQBAHr3moke/783buY/MN1CADqVvRHrYqOpwkzECEiengMRqhQaQRlCawnHmJlVRjSkPZBzkuVVo/YOb1dtvVURGXZe5bz9oYASz6JCgIDDiKiQsZghApNUkoKDsbFwU9nPzKSl7MVU32RgQoPduN99t2lAIAUyce6sJk3MvFPnnjnSQUJsdfvyo+73E4xyJYTEVHhYDBCheLAZcsueIOXnX6odlqpTmKZ9lPoBZNN+UpTB0wxve7wutsK2m7/eZRsuZlLvRMRFSkmsJLbHYyLc1tb3VX77QKRvAzQYrzh39bX6fByy73VKqBygOtl5YmI6OFwZIQK1fuda6BhVT+78j6Ljym6XiPkzJARJQEiLPkbYq442gw1fhFbApgDAMiCDsEybeUeLfEF8PuoVrL3TDca8eEvZ+DDXXmJiIoEgxEqVNVDdGhWTW567DGbV7KJqQB+nLTQevy5qTfGfGTJGXn9wVe2vIucHZJpr/GEzUh8cKwFULm8/KhHerqRgQgRURHiYxoiIiLyKI6MUL7JLY9ucz7XUum//30a52/dctmmo9k0c7TK6uU1epl9vcRcxyYAmZnyuSiZZuc5KkRE5F4MRihfLt1ORXqW85VOLyWkWI+/iwYQfaeQe2Xvx/POz6cCmL7ljOw5Edx3hoioKPExDSkmipLLQAQADh+W34CuOKnh67pOOT8tvLwYrxMRFTb+paUCqRviD5UgvzJp2SAAD57MNC4PPN+igl2dWb8qGy1ZaeqI7eYnAAAXJOf7xOTWq5Z92bbzlhERAGjXUIvRnerKXiuKEqJvJcNLwQZ/RET08PjXlgpEJTheJj13jFInBBjSurldnVm/KljmHZYckeNSDZf18s6mmTPYvt7Hm7dh0Z9GAIBaA4ejHqIoMRAhIipC/ItLhWrdKSDzf66TTpUmpiqtt/TvI3Zlp+OM1mNJkhwm4uZOwCUiosLHYIQK3caLRX/P6T/dcHo+6a4J0fEF2ROYiIjcjQms5HbrTnm6B641axDpso6PXs0de4mIigBHRqjQ9ahhX6Z0tGSQeiuaqc4CAH4xt8Bvon3+iZxJPUPsym7fvo3F+yxriNQM9kVkiPN9ZxiIEBEVDQYjVOjmvmmfTLpxgrIE1h8nLcQL6oMAgDNiFcUJrG80f9yuzun421i8z9KWswRcIiIqWgxGKN8yTSZkZpoUf5jXV5B06mwFVkmSkG4EsoxGu6Ajm2TMtHkdczvRrk5CssF1Z4mIqMgxGKF8+fbQVdxLNaKsrxYqKAtGUl1XcUiSJLReno7918wAVj/4cq3951EybT1ER4iIqNAwgZUUy8w04V6q0XVFN8oymh8EIsrowyIhaPVO66gBVCtT5uE6RkREbsORESqQcR1qwkerlT239mCszWs/mToFGS2ZMrIflql6O60jaPUQBAF/jGpldy7daMRHm07D31euR0RE5CkMRqhAvNQaxfu2nJJJOq02YTNUEBEu3EKi5Ifjs/raVki9DWQm4sDsnPVCdFoNYj+VD0by5pxUCypjVyc93chAhIioGGIwQvmWmpmB2KQk+KTLj4zkJZecqocBG3WTUVcVi+nGV1Ftgm2QMEmzGm9ofkNDlW2ix9MKV2A1mUT7Msm+jIiIPI/BCOXL9tMJMEtAly/+hkpd8KmxdYRY1FVZHufUFq4puiYDXlBWE/jlhP0KrCaz8twTIiIqOkxgJcVik5JgdtOMFA1yAoM+mj12581QIUvSIEvKiZc3m5spajvUxXlvrRoaDX/1iYiKC46MUIEsff1xRJT3kT33zOx9+WorQSprVzbDNAAzTAMgGjIBvAQAuIOyqOqgjdwjJtXLAl0b2q/AajCYEXc/AyoVAxEiouKEwQgVSHCAFlUqBCqqK7dqau93z7msA9ivrPqng3r/+mQz9t6zHKsEyI58iKLEQISIqBjiX2YiIiLyKI6MUIHsv3YN9zIyFNWVm03zhOC6jpw523bJll+4l3NsNlseyeRlYAIrEVGxxGCECmTaj/EA4ov8vvN2prus83cSsHjv5SLoDRERuQMf05Bi+68pnVjrWa0rOT8fFKCDTqcums4QEZFLBRoZWbhwIT799FPcuHED9erVw9y5c/H000/L1t29ezfatm1rV37mzBnUqVOnILenYuC/LSri6Qbyn/r9l5wotPuOaCc/g+fw4XREJVmOWz5ZEYOerO6wDQYiRETFS76Dke+++w7vvPMOFi5ciFatWuGrr75C586dcfr0aVSpUsXhdefOnUNAQID1dVBQUMF6TMVCUIgGLauHOzhrG4y4czbN6I72gS0A/C/gMKI2JgAAVGoVAw4iokdIvoOROXPm4I033sCbb74JAJg7dy5+//13LFq0CDNnznR4XcWKFVGGO6UWe6LoeFUzSco5t317PO7cuaOoTbnk1PqCFlfMFZFhlHAXAWiWJ+iw3tOYafN694UY2XoJcSZFfSEiouInX8GIwWDA4cOHMWHCBJvyjh07Yv/+/U6vbdKkCTIzMxEZGYn3339f9tFNtqysLGRlZVlfJycn56ebVECXbqciPcvxjJO7N3P22j2QAhzYayjwvU6KEai7XIusuDMPSl5SdN2gpdEFvicRERVP+UpgvXPnDsxmM4KDg23Kg4ODkZCQIHtNSEgIlixZgg0bNuDHH39E7dq18dxzz2Hv3r0O7zNz5kwEBgZav8LDHT0OIHcRRclpIAIAf+xPcdv9JGNWrkDENX1YJAStXlHdZ6pVK2CviIjIEwqUwCoItotESJJkV5atdu3aqF27tvV1ixYtcO3aNcyePRvPPPOM7DXvvvsuRo8ebX2dnJzMgKQI1Q3xh0rm51neH8CDeKQigJee0clevzCfIyaVh6+BoPVyWkfQ6iEIAla8UU/2/MW7d/HhxgQUfOs+IiLylHwFIxUqVIBarbYbBbl165bdaIkzTz31FNasWePwvF6vh16v7P+Cyf1UggCVyv5jPXd8UiMAGP9CB9nrF+61zRGRS07NnZgqaL0QO6e3bFt5803a1KwmWy/U3x8C5EfniIioeMtXMKLT6fDEE09g+/bt6Nmzp7V8+/bt6N69u+J2jh49ipAQ+43MyPNMogiTSZQNRnLlr2J/MvCcwlVT5RJY9cgZPQkTbitegTXhfqps+b00o6LriYio+Mn3Y5rRo0fjtddeQ9OmTdGiRQssWbIEsbGxGDJkCADLI5a4uDisWrUKgGW2TbVq1VCvXj0YDAasWbMGGzZswIYN8rMnyHP+uXoPKRkmXL6dJvuY5lSelJFLD3GvSCEGFx8cr9XNQDtpkaLrOsyNki03i1zqnYjoUZXvYKRv3764e/cupk2bhhs3bqB+/frYsmULqla1bO5+48YNxMbGWusbDAaMHTsWcXFx8Pb2Rr169bB582a88MIL7vsu6KGZTCJSMpxPj3Vf+mrhUQtAJT8/T3eDiIjyoUAJrEOHDsXQoUNlz61YscLm9fjx4zF+/PiC3IY8pHO9YOg09ouGjfr+mM3rxxxc/zAjJq5sf6eVbHlyVhaGrznGXCMiokcQN8ojOxqVChqN61nfOxysmpo3/0MugbX7GNertMq1Vams/KiHT6qWgQgR0SOKwQjZyMjKRGJ6JnRZrpdTV5p0ml3vMSEOvrCsqNpQFYNNueq0VNhWapr8tOFUU8EXYCMiIs9iMEJW3x2KRbrBjG1n7kAQ3L+h8zTNCrRSW1ZQTRMkfJTrXLzCNv699ohsee6l6omI6NHCYIQAAInpmUg3uGdGSjXhBnSwJMPGS+WRCvmddrOlSt5uuS8AlPfVws9HfjE2IiIqnhiMkJ3FrzVBkI/9iqiNP9qh7HrtXNRRXQMAvGEYgx3iEwCAFPjgruQPAEiTRGTPz5ln6olQB7+JuUdM6gL4esDjsvVEScKZGynw8dYq6iMRERUfDEbITqBeizL+zpdnBxwnnZ6d/H8O6uXUbzJ6A7I3x9smPolYB211fXczTj54AqMRAD9f+VEPUZQYiBARPaLcnxhARERElA8cGSEbWVlGXL5/H6kG17NTHM2m2aqzJJSmGwGjwWCzD002yZhp83rqBvm2LuTKS5UkywiIHJEJrEREjywGI2R1P8Oyv8srXx2H+iG2v5UkCa1XpGP/NTNgM2fGseWHXNdJBxAdn1zwjhERUbHExzQEALh8/77b2sowSg8CEdf0YZEQtMoWK2vzTDmXdXz0atlN/oiIqPjiyAjZ+aJvPTQIC7Qrbzdnf77b6jdiHPapmzs8L2j1EAQBrz8pf/7QIeDUg+PgQA3qhQY4vR8DESKiRw+DEbITXEaD6hXLuqznaDbNkQnjrMcarQ6xs3vb1cmbbzKlt3xbS0IO4dSmWwAAQWCwQURUEjEYITu/HzmO6Fu3XNZzlMD6o8J6uZ24flO2/P4d5zsJExHRo4/BCNlZfgjAoRtFes9u8/8p0vsREVHxwQRWAmAZDSnuIoODPd0FIiIqBBwZITutQoF2zUPsyqf/pGy0ZIGpO4AzAIDzYriiazYNbypb/ldsLGZscv3IiIiIHl0MRshOrTDgjeb2e8BM/8k298NRAmuV0TkLmsWjguxS73nzSBpWlh/1SM7KAsBghIioJGMwQnaWHwJu35ZPOpUkCZIxCwBkV1YF7FdXVZLAejr+tmz5tbuuV4IlIqJHG4MRkvVrjH2ZJEm4uXY8suLOuP1+L8w76PY2iYjo0cAEVgKgbDl2yZiVr0AkP6urKhEZFOS2toiIqPjgyAjJ6lLNvmzT+ZzjysPXQNB6yV47XPMTKuI+9Fo1VomxOCNVdXm/LSOayZbfy8jAO2uj4aVzX1BDRETFC4MRkjV/iH3S6aZcOSKC1guxc+xXVgWAs5OnoI7qGgDgD0NT/DZzqF2dvHkkkaHyox73kjMYiBARlXAMRkqJ9HRjvuo/rSDp1FFi6ladsnq5pabJJ6qmGvPXbyIievQwGCkFPth0CglJWfm65loh9cWRf689Ilsuisp2/yUiokcXE1hLuPR0Y74DkeLIT6+Cn5fOdUUiInrkcGSkFPmwR134qLWy57ZGJ9i8lls39aqDdudpv0Q39YGH6tvXA+wXWQMAg9mM/0VdgZdWvt9ERPToYzBSiviotfDxUfah/qfMqql5FzmzrsD6wwbglHw7RmhkV2rNm0fi5ys/6mEwmBmIEBGVcHxMQ4q1VEVbj19X/+ay/nkxDIfFWoXZJSIiKgE4MlJKGIxG3MvIQKbJpKi+3AyYvkLOo5xmqrPWOuXQAT7CMzZ1RUnADZSDBBXGrnA9m8ZkEuXLRflyIiIqORiMlAJRl27DaJLQZ/FfUKnd/yO/hwDckxyf/+Gs6zZ+OSG/I7AoOWmYiIhKBD6mKeHuZWTAaCreH+j1FUySCfDWQKPhrysRUUnEkZFSZMnrTyDUz0f23OMzdhbafV+qY1+We7SkdgTQtWGI7LWiKOH0jWSo1QxEiIhKKgYjpUgZvRblArwV1ZWbAfN/4za7rAPY55vMHmRfT1i5Gesf7LmnUsHhqIcoSgxEiIhKOAYjpUSWScSpW7eQmJmpqL5sAquCOnJWHDpmV3Y5wb4eERGVTgxGSoHMBzNVhqw855H7f7AhziP3JSKiRwPHv0u4U7dueboLLjVvHOHpLhARkQdxZKQUmfTCY2j+WDnZc12+PFRo9/2gd5hdWfTpOGvOCBERlW4MRkqRsCAN6odVVFTXnQmsg55sbFfnB50O689cUdQXIiIq2RiMlCK/7z+HS04e20iSBMlo2eE37z40ANA112KoafBSnMB6MMY+ZyQ+XtlKsEREVPIxGClFfroA4MJ92XOSJOHm2vHIinP87GRhruOxxv9CpWCxMgDos/iY4j4SEVHpwwTWEu73/cpm0EjGLKeBSG76sEgIWv3DdMtGszD7nBIiIio9ODJSitT1Bbo8U1b23Mc/5+wNU3n4GghaL4ftCFo9BEFQfN/vhzS2K4tNSsLYb69Ap1beDhERlUwMRkqROqHAsGdbyp77+OecHBFB64XYOb3t6uTNEVGawNqsmv3IR6U7ftCpY1x1mYiISgEGI6XITxeA9C+VJZ3KJafqYYAPLCu4mqBRnMCamGK/6mtyliWBVZIkiJIEUZTfzI+79hIRlXwMRkqZ3x9iMdQ+6t2Yrl0BANhpbozBxvGKrntpyd92ZSbRZA00zt9MRUoWH9cQEZVWTGAt4X664OkeyJMeBCIalQB/vetkWB+9GioVAxYiopKIIyOlTCcHE1d+K8T1x374T3O7ssTMTAxa9g80Gi1qB/uhjJ/jhFkADESIiEowBiOlzFdvyyed5l3kTC45ddJ721zWAezzTcr4ywcaGo0WAKASBAYbRESlGB/TEBERkUdxZOQRl5yala/6SmfAZNcbrfkez6ssm+hN19pmv746S1lbcn1MNhoUXUtERCUfg5FH2JsrD+Fmcv6CEXkSgnEP1x68UsOM7Am1wUhELZX9FBwRAvYlKmt9wHL7HYElTtklIqIH+JjmEZWcmuWmQARQQcJurzHW10FIcnnNbrGxW+5dzk+DAF/3LS1PRESPHo6MlACLXm2EAK38rnUNP/zjodpebn4eW8UnbcpuSWUQLVVD6zLy1+QeMWmiA1a+/qRdHVGScCYhBX7eCnfbIyKiEovBSAkQoNUhwE/Z6ILsDBjRjLT3XdfLm2+yZoL8bJo+0zbjYLrlWKuBbN9EUYKft3tGdoiI6NHGYKQYc7REOgCID7I6zCYjUg0GqNKUTY2VS2BVQcRJlet6eX32+07Z8gvpirpCREQEgMFIsXXpdirSs8wOz6caDIi9mwajWcI7645DrSn6H+WXuzKK/J5ERFTyMIG1GBJFyWkgAgBpWQYYzRJUAgCh+C4Y1q5dBU93gYiIijmOjBRzdUP8oZIJNsonqqBWAYCAGS/VQyUfH9nr60/fXmh9e7utt2z5339nWHNGiIiIXGEwUsw5WirdEqBYyv00Gvj5KpuV4s4E1jGd2sneY7Hv3zj46x1F/SEiImIw8ohLyTLhh+PHEeDnp6i+OxNYd56X310v/qbJeixJkmwirshFz4iI6AEGI4+wlCzLh/7srYkAEov8/oOXnXZZ5859A6Ljk4ugN0RE9KhiAusj6ofjxz3dBUXqVw53et5Hr+aOvUREpRxHRkqAbpG+aBpZVvbc5B+uu7xeAvCJsQ+ApQCAVHgpuu+ywZGy5edu3sTHm+8CAKoH+aBeaIDDNhiIEBERg5ESoFYVLf7VtJHsubzBiGwCK4Aqow3ICUZ8EKsggbVdrQjZtir4+ACwBCOCwICDiIicYzBSjIkOkj8BALmKT55MxDcBJx22I0kSJKNl6fUqozfI1zFm2rxWksB6+dZ92fKERKPLa4mIiLIxGCmmrt9PR6ZRBADZdUZuJuV84P8eB/z+faxsO5Ik4eba8ciKO+P2Pnb4fL9suZkTZYiIKB+YwFoMiaJkDUQcOXsuTVFbkjErX4GIPiwSglbZpnuuCACql5XPZSEiIsrGkZFirm4lf2jU9jFjOR8AD56S1NcD/btXkb1+wprz1uPKw9dA0NonpwoQMVazHgCg06qxwJyOZPi67Nv2US1ly1MNBry/4TR8veVXaCUiIsqNwUgx52gF1txPbioHAf0fbyB7fe5gRNB6IXZOb/tKohmY9qb15QpzZ5yY1ceuWt48kuoV5Uc9UtMMDESIiEgxPqYhIiIij+LISDFmEkWYTPK5I7kn2Wy9DvSc5Hr2C+B4OfjLXq7r2fXPQd9MkvN8FyIiotwYjBRTp+OTkG4wQwCgVtkPYMXkmVV71AOzaX85cUO2PNNkki0nIiKSw2CkGDKZRKQbzE7rnE9/+PvoYIlgVCickQy9RpBNviUiIsqNwUgx93xkMLx09j+mUd8fs3ndRCt/fZrxKq45aPuQ/r8IFAoe1XRtGCJbnpllwolriVAJDESIiMg1BiPFnEalgkbj+kP9p+nyy7wvHr8U2x8cB+MeDs36d87JWVog0/4aAzSyy8bnzSNx1C+NScVAhIiIFGMwUoxlGAy4l54BL4PrH5OjhNMpMFiPX9HsRLUJodbXx/VGBOaZNbzZ3Ax3EYjBc1wnsBocPEoymJ0/YiIiIsqNwUgx9Vt0PDINEv6+ch9CIY0ytM+ajdyb3BihQSL8AQA7b7m+fvHey7LlIrgePBERKcdgpBi6l56BTEPhf6DfRpkCXxuhdl2njK8WOp2CikREVKoxGCnmvh7UBJV8fezKH5+xs1Dv266ifVnu0ZLIKsCQZ6rLXiuKEqJvJkOnZiBCRESuMRgp5srodSgX4HppdbmEUwBYPn6Ronp5c06WjbavN2LJZmx68GRGLcDhqIcoSgxEiIhIMQYjxZhZNCMmMVFRQqjjBFZl9fL67Hf7kZczcYouJSIiyhcGI8VUutESgPRfcgIKZva63Ze7Mor+pkREVCpxMYhiKCYx0dNdcOmldvU93QUiIiohODJSzH3ety6aVC5nV97ms6hCve/bbe3zVK5ezbDmjBAREbkLg5FiLjhQi2pBZVzWc3cC65hO7ezq7L14FZsun3LZFyIiovxgMFLM/XHsBM7fveuynqPE1MnIWWJVhKA4gfXE9Zt2ZVdv5azmKkoSRFF+LRRR4qJnRESkHIORYm7ZQQAHCz6N5QPTIAC/AgC+NPWGSqfsum7z/3F6/vLtdJT3Ti5wv4iIiLIxgbUY+uPYCU93waWa5cu7rOOjV0OlElzWIyKi0o0jI8Vcq3CgQ7Mwu/IPNhTuoh+bhje1K7uXkYHRq6Ph4+OFupX8Uc7f+WJsDESIiEgJBiPFXO0QYNCTje3K8wYjjhJTq4zeoKhe3lyShpWD7ercS86Aj49lOo1KEBhsEBGRW/AxTQmngih7TEREVFxwZMQDHM1Cscp1evlB4M4d1zNgHC4Hr1mJwQ+O39b8iGoT7Dfdk5OZabIvM9uXERERPSwGI0Xs0u1UpGc532vm3u2cYwnwyEJj07ecsSszKtgjh4iIKL/4mKYIiaLkMhABgI0xhd+Xh+GlVcFLwziWiIjcg58oHlI3xB8qQT4BVIDNkxp0q25fp7BHSya9UNeuLN1gxP9tOAE1AxEiInIjfqp4iLPZKLmDERWAef+xnwGzKU+OiHWWTPo94Ga0tTz6q7Py9fLIm3Pi5WX/qyGKEgMRIiJyO36yeMD99AzcS9E6HBkR8xwrWcI9u86zquNYqfs4p1xlmyzbUuFy8CaT/cwbk8TZOERE5H4MRorYmO+PIjHdBJ1GAFDwdTpUEOGFnL1i0uHl8poUyQfxCtv/5cQNuzIDE1iJiKgQMBgpQvdSMpCY7p7psZFCDH7Vvw8AuC/5oUnWEgBApqTDdamCtV66JAJIAQD8aG4NqF23XdHFeW+tChoNc5+JiMg9GIx4yPLBT6C8l1723OMzdha43b+lumidNc/6WjRkAngJAJCIAFR2cF3uEZM6ZYGuDUPs6hgMZtxIzIBKYCBCRETuw2DEQ8rqdSgX4Hxvl2xySadd3v3SZR3Afjn4/Q7qDfx0M/bctRwLKsiOfIiixECEiIjcjsGIB2QZshCblIR0o1FRfbkE1voCIEkS0o1AmiSiUZ6gI5tkzLR5PWfbLtl65+/mukaSXyVWlFysHEv0kMxmM4wK/10QkedptVqo1Qqe/7vAYKSI3UrNAgC8vPAI1OqCJ7BKkoTWy9Ox/5oZlpyQlxRdN29nuss6SQYgOj7Zrtxs5mwaKhySJCEhIQGJiYme7goR5VOZMmVQqVIlCA5miCrBYKQIxSYlua0ts9HwIBBRRh8WCUErn6OS19NPBjlvS6Pijr3kVtmBSMWKFeHj4/NQf9SIqGhIkoT09HTcunULABASYp9rqBSDEQ9Z+GpD1K0UIHvumdn78tXWuTHBaC8ucFpH0OohCAJGtJPfKO/YsXTsvWc5Ll9Wh3qh9n0zmURcupPmcH0UooIwm83WQKR8+fKe7g4R5YO3tyX38datW6hYsWKBH9kwGPGQoAANqlQIVFRXLjn1+TE5G9n5aAXEzuwte23efJPRHdvK1ltR9hj2bogDAAgCZEc+VCqBgQi5XXaOiI+Psh2liah4yf63azQaGYwUF3KJn9ZzuU79dvQojiUkKGpTLoG1joI6craeuShbfv1azgJqZlGUX4FVZM4IFR4+miF6NLnj3y6DETe6dDvV6a68l26nWY+/PiABitdDdZ8hK8+5rHPu7B38orVfgZWIiKgwcNEINxFFyWkgAgD7ol0HAsVBrYhqTs+X9dVyBVYiInIbjowUgroh/rK5FZXK5OzH+3Q1oO3jobLXT/vR9YjJHamM9XilqZOiZd4BYPHA2rLlccnJmP7TDXhpVGgfWRGVy8gn1wLyC6IRkXKCIGD58uUYNGiQp7viVh988AFWrFiBmJgYT3eFHjEMRgqBShBkE0Atz9UswUjdUBUGN2sie33eYEQugTX3yqpfmbsi9lP5lVXz5pI8X7eGbL3rd5PxqeYmAEAjcO8ZooJIS0vDJ598gvXr1+Py5cvQ6/V4/PHHMWrUKHTr1s3T3SMqtviJQ0TkBikpKWjdujVWrlyJ999/H2fPnkVUVBRatmyJXr16Yfr06Z7uIrKysjzdBSJZHBlxM7PZMhNFbmREyjUZZcl+EVH7lc2AUTJTRulsmtQ0g2x5mtE9uwkTuUP2YkqeUpCF195//32cOXMG0dHReOyxx6zlH330Eby9vTF58mR06dIFTZpYRkQTExPxyiuv4Ndff4W3tzfeeustTJs2DSqV5f8Rf/75Z3zwwQc4d+4cdDodatWqha+++sp6/eXLlzF+/Hjs2LEDkiThySefxOzZs9GoUSMAwO7du9G2bVts3rwZn3zyCf7++29MnDgRy5Ytw2uvvYZp06ZZ+yhJEh577DEMGDDAGjR9//33mDlzJs6cOYNKlSqhZ8+e+PDDD+Hr6wvAEti88847+Oabb6BSqdCvXz8EBipbroAoLwYjbnT46j0kZ5gcLgx2+pLt1NjooupYLv9ee0S23GjifiBUfKSnp8PPz89j909NTbV+6CohSRLWrFmD/v372wQi2caMGYMZM2Zg9erV1mBi6tSpeO+99zBt2jTs27cPw4YNQ1BQEEaOHImbN2/i5ZdfxrRp09CnTx8YDAYcPXoUGo3lT/atW7fQqlUrdO/eHXv27IFer8f8+fPRpk0bnD17FsHBwdZ7jxw5Eh9//DGaNGkClUoFk8mElStXYurUqdaAa+/evbhy5QoGDhwIAFi9ejVGjBiBL774Aq1atUJcXByGDx+OhIQEfPvttwCACRMmYP369VixYgUiIyPx9ddfY8GCBShXrlzB3nQq1fiYxk1MJhHJGc5HF6Juu+9+FXDfejxIvdVt7apVgJ9O57b2iEqD27dv4969e6hfv77seW9vb9SoUQPnzuXMqOvYsSPGjh2LWrVqYfDgwRg2bBhmz54NAIiLi4PRaET//v1RvXp11KlTB/369UODBg0AAIsWLUJYWBgWL16Mhg0bonbt2pg3bx7KlSuH1atX29z73XffRa9evRAREYGqVati4MCBiI2NxZ49e6x1Vq5cidatW6NGDUtO2eTJkzF9+nT861//wmOPPYZnnnkG8+fPx7p163Dnzh2kpaVh0aJFmD59Onr27InatWtj9uzZqFWrllvfVyo9ODJSCDrXC4ZOYz+9ZdT3x2xe13NwvZIRk4pCovX4P5pfsUrqoahvXw94XLY8MTMTry49BI2avxLkeT4+PkhNTfXo/fNDerCjtbNHO1KeXa9btmxp87p169b47LPPkJycjEaNGqFjx46oV68ennvuObRt2xa9evVCeHg4AODgwYM4fvy43ehRRkYGLly4YFPWvHlzm9fVq1dH69atsWrVKrRp0wbp6en44Ycf8PnnnwOwBFYxMTEYN24cJkyYYNf/CxcuwNfXF1lZWbLfw8aNGx2+B0SO8JOnEGhUymajbJaZJQPk5H8EIRE79WPgr7f/MaWlJiP3nyG5GTe528rm5ys/6mESRQYiVGwIgpCvxySeFhQUhHLlyuHkyZOy5zMzM3H58mV06NDBWuYscFGr1di6dSsOHTqEP/74Az/88AMmTJiA77//Hl27doUoimjTpg0WLVpkd21AgO20fLn3ceDAgRg1ahTmz5+PDRs2wGw2o0+fPgAA8cFKy3PmzLHpb7awsDCcP3/e5fdAlB/89HEzkyTCYFS2m66zpFNJkmA2ZkClSkeaTDpHmjHn/7JMUD90AmuqkTkjRAWlUqkwYMAALFmyBJMmTUJERITN+Tlz5iAjIwOvvfaatSwqKgojRoyweR0WFmYNJgRBQLNmzdCsWTNMnDgRzz//PP73v/+ha9euaNq0KZYtW4bQ0NAC7enTp08fjBgxAj/++CNWrlyJXr16wd/fHwAQHByM8PBwnDt3Dv/9739lr69RowZ0Oh2ioqLQsGFDa/n+/fvz3RcigMGIW52IS0RalhmQJGhUBdssCLAEIjfXjkds3BkoSeHbYn5KcfaPowRWSeK+M0QPY/r06di9ezeee+45zJgxAy1atEBqairWrVuHmTNnYurUqdbkVQDYtm0b5syZg65duyIqKgoLFizARx99BMDyob5jxw506tQJlSpVwoULF3DixAlrgunw4cOxdOlSdO/eHZMnT0Z4eDiuX7+OrVu3olOnTnj66aed9tXf3x89e/bE7NmzcfLkSWzbts3m/EcffYTBgwejfPny6NmzJ7RaLc6ePYtff/0VX3/9NXx9fTFkyBBMmTIFISEhqFu3LpYuXYqzZ88ygZUKhMGImxiMZksg4gaSMQtZcWdcVwTgX7kmPhYGwl2DpQE+Gvh5M4GVKL8CAwOxf/9+fPLJJ/jggw9w5coV66JnGzZsQPfu3W3qT548GVFRUZg0aRK8vb0xcuRIjBw50trWgQMHsGDBAty/fx+VKlVCv3798MEHHwCwjF4cOHAA7733Hnr37o2kpCRUqlQJrVu3Rmio/MrOeQ0aNAgdOnRAeHg42ra13c37tddeQ0BAAGbNmoWZM2dCrVbjscceQ48ePax1Zs2ahczMTGuA1LdvXwwbNsw624YoPwQpb1ZVMZScnIzAwEAkJSXZPQ8tLlLTDNZRhwX9GsFPb/+BXmuyslkvoiET1z5/CQBQefgaCFovh3UFrV7xc9vm/sDSd+yfAQOWnJHN0Tfgo9Oha8MQrsBKRSYzMxNXrlxBREQEvLwc/64TUfHk7N+w0s9vjowUAp1KDZ3O9WMaR0mn48cNw6cPjmvp7mDHZyPt6uTNEXHU1quzNmNfouVYq3aSwGoS4cMpvURE5AEMRtzsevxdbL14UdFaHY6STtep/7QGI9WFeEXJqdN/kq9zNjHnWJIsuwvLEYv/ABkREZVQDEbc6MDluwCAsd9eKfJ7L/3bdZ07SUB0fLLsOQYjRETkKUwMcJOtFy96ugsudetQyWUdL51Kdl8dIiKiwsKRkUIwrFVlNKhhv9DQkJXnZGq7xxvN5cvPngWikizHoUG+qBcqn0CU/fhGbk8dIiKiwsRgpBBEVNHi+bo1ZM7YBiOOkk7/mvCuy3p580gm9ZRva+PJs4haewkAIAhwOurBQISIiDyBwUghGPvtFSx0kDciSRIkYxYAoMroDbJ1Vgq2C5ApSWDddylWtjz2es6Kq6IkMYGViIiKHQYjheSyTFn2yqquFjRrV4D7vfq1/J4YucXfSnOYwEpEROQpTGB1EyUzaPKzsioAtApXQ6PVPky3bNQPD3NZx0evZgIrEREVKY6MFJLqMmW559s4W1n1e91UNFDFwEcLDDMKgIInKGv+3UC2/FZaGt795jJ8vLWoE+yPigHOd0JlIEJUOsTExCAiIgK7du1CmzZtPN0dt1ixYgVef/11ZC8svnv3brRt2xZXrlxBtWrV3NYuuR+DkUKyUybpNHeOiKD1Quyc3rLXHp/8IXxzBQVKElhbP1ZFtq1biWnw8b4GAFBBYLBBVAgGDRqElStXArDs4BsSEoK2bdtixowZCA8Pd8s9qlWrhkGDBln3p3lY4eHhuHHjRone2K5ly5a4ceMGgoKCFNV3FKD17dsXzz//fCH1kgAGIx4zUvMDsCM6pyAwHGj6uuc6REQPpUWLFvjxxx8hiiKio6MxZMgQdO3aFUeOHIFKVbyeiGdlZUGv16NSJddrDylty13c2Z5Op3PL9+jt7Q1vb2839IgcKV7/QoqxmNuJTr/yqjZhs91XY+GC9fwQzWbgz8+sX4c2LbTW62uYhMjMZYjMXIbfxSdl28rrXnKG7Nf9TINdXaLiTpIkpBtMHvsqyHB89gdfaGgoOnTogKlTp+L48eO4+GBBxHXr1qFBgwbQ6/UICQnByJEjkZGRYb0+OjoanTp1QpkyZeDj44M6depg9erVAID69evj6tWrmDp1KgRBgCAIiImJAQBcvnwZL730EsqWLYsyZcqgQ4cOOH78uLXd3bt3QxAEbNmyBW3atIG3tzc+/fRTxMTEQBAE7N6921r30qVL6NGjBwIDA+Hr64v27dvj2LFj1vPZ16xZswbdunWDn58fhg0bJvt+rFixAoIgYM+ePWjYsCG8vLzQsGFD7Nq1S1F7O3bsQOvWreHt7Y3Q0FAMGjQIt2/ftvkdmTRpEipWrAg/Pz+88soruH//vk0fsr/37Pcq+3vs06cPypcvD29vb9SrVw/ff/897ty5g4iICABA27ZtIQiC9dFO9vcCAKmpqfDz88OyZcts7pWWlgY/Pz8sXbrUWrZgwQLUrVsXXl5eqFmzJqZPnw6j0Sj7fpV2HBlRoP6Urcg0mh+6neqqG4rqZSL//1fQbeEB2XJJScIJUTGTYTQjcvLvHrv/6Wmd4KN7uD+P2f8nbTAYsG3bNvTv3x9TpkzBK6+8ggsXLmDIkCG4f/8+Vq1aBQDo168fIiMjERUVBW9vb5w/fx4mkwkAsGfPHjRu3Bh9+/bF2LFjAQBBQUG4desWWrVqhe7du2PPnj3Q6/WYP38+2rRpg7NnzyI4ONjan5EjR+Ljjz9GkyZNoFKp7AKurKwsdOzYEaGhodi+fTv0ej2mTZuGdu3a4fz586hQoYK17vjx4/HRRx9h7ty5LgO3kSNHYs6cOQgJCcHMmTPRpUsXXLx4ESEhIQ7b2717N7p27YqPP/4Yy5cvR1JSEsaNG4cePXpg3759EAQB8+bNw2effYb58+ejdevW2LhxI6ZOneq0LwkJCWjZsiUiIyOxceNGhIWF4cyZMzAYDChfvjwOHjyIZs2aYcOGDWjZsiXUavsNT/38/NC7d2+sXLkSgwcPtpb/8MMPkCQJffr0AQBMnz4dX3/9Nb744gs0btwYZ8+exVtvvYX09HTMnDnTaT9LIwYjLsTcTnRLIJLXTSkQf5uesL6+KgU7qf3w/L3UKOfHYUaionDlyhXMmjUL4eHhqF27NoYNG4Zu3bphypQpAIDatWtj/vz56NWrF6ZOnYqIiAjExMRg7NixqFevHgCgevWcNPjy5ctDrVbDz8/P5rHDokWLEBYWhsWLF1vL5s2bhy1btmD16tXWwAUA3n33XfTq1cv6OvdoAQB88803iIuLQ1RUlPUea9euRUREBObPn2+Tq/Lmm2/i9deVPVaeOXMm2rdvDwBYtmwZdu3ahYULF2L69OkO23vzzTcxdOhQvP3229aylStXomrVqjh8+DCaNm2KTz/9FG+//bY1IBg/fjwOHjyIDRvk128CLCMVkiRh06ZN8Pf3B2D7PmfnlpQrV87p452BAweiffv2uHLlinU0ZeXKlejVqxf8/f2Rnp6OWbNm4bvvvkOXLl0AABEREfjwww8xbNgwzJgxwzrSQhYMRvJh9RtPIiRAfjfeNp9F5auty2Io3pX+7Y5uQQCwaWgL2XMmUcSWMwkI1MvP3CEqjry1apye1smj98+vP//8E35+fhBFERkZGWjWrBl++uknaLVanDp1CpMmTbKp/+yzz0KSJJw6dQoREREYN24c3njjDSxbtgzPPvssunfvjscff9zpPQ8ePIjjx4/Dz8/PpjwjIwMXLlywKWve3MGeEQ+cOnUKderUsfkQ9vLyQrNmzXDypO06Rq7ayq1ly5bWY51OhyeffBLR0dE2dfK2d/DgQRw4cMAmyMp24cIF1KpVC3FxcTZtA0Dr1q2dBiOHDx/GU089ZQ1ECqpt27aoUqUKVq9ejcmTJ+Pq1avYvXs3tm/fDsDyyC09PR19+/a1CTrMZjMyMzORkJBgMzJEDEbyJSRAh2pBZRTVlZsB8864bS7rAPYzZeTq1Z6wGVkPjnUAygXIj3qYTCIDEXrkCILw0I9JilrTpk2xdu1aqNVqVKpUyWXCY/aHVPZ/J02ahAEDBmDr1q3YsWMHZs6cibFjx2LGjBkO2xBFEW3atMGiRYvszgUE2O5D5evrfFq/s8ctef8v3lVbrrhqTxRFjB07FoMGDbK7Njg4GKIoyrZTkHsXhCAIeO2117Bq1SpMnjwZq1atQnh4ONq2bQsA1v6tW7cOdevWtbte6eye0uTR+tdeCAwG549gDGbLeZMIzPg2CmXKOK7raqn3rqJt4pKSZd4BoPcU+3pZuY5FWIIOOSZRvpyI3Mvb2xs1asjtSQXUq1cPu3fvxjvvvGMty04czX4sA1geGQwdOhRDhw7FrFmzMHPmTGswotPpYDbb/r1q2rQpli1bhtDQUPj4+DxU/+vXr4+FCxciISHBOjqSmZmJgwcP4q233ipwu/v370fnzp0BWPJnDh065PIRT9OmTXHq1CmH7ycAhIWFISoqCt26dbOWRUU5H6Fu2rQpFi9ejJSUFNnREZ3OMvKd932WM2jQIHz44YfYt28fVq1ahX/961/WWVP16tWDl5cXLl26hK5du7psi0p5MPLtwau4nex8tsn95BRkf85viwcQL19PyVLvCwvYz8NZzs8bAfxyQllyLBEVvffeew+dO3fG1KlT0a9fP5w/fx7Dhw/HgAEDEBERgdTUVPzf//0fevfujerVq+P+/fvYunUrIiMjrW1Ur14dUVFRuHbtGry9vVGuXDkMHz4cS5cuRffu3TF58mSEh4fj+vXr2Lp1Kzp16oSnn35acR/79++P6dOno0+fPpg9e7Y1gTUzM9PhjBklJk6caJ1GPGvWLNy/fx9Dhw51es20adPQsWNHjBw5EoMGDUJAQAAuXLiAH374AZ9//jn8/f0xZswYvP/++4iMjETLli2xadMm/PHHH07bHTZsGL766it069YN06ZNQ+XKlXH+/HlkZGSgR48eCA4Oho+PD7Zt24b69etDp9OhbNmysm099thjaNWqFUaMGIGLFy9i4MCB1nN+fn6YOHEiJk2aBLVajY4dO8JkMuHkyZM4fPgwPv300/y/kSVcqZ3aazCYXQYiAPD9QWUf8vlZ6l0fVhf/xnuK6irRp7GfyzplfbXQaErtj5vIozp16oTVq1dj/fr1qF+/Pt544w306NEDX331FQBAo9Hg/v37eOONN1CnTh106tQJFStWxHfffWdt48MPP0RiYiJq1aqFoKAgxMbGIjg4GAcOHEBwcDB69+6N2rVrY8CAAbhy5QpCQ0Pz1UcvLy9s27YNZcqUwXPPPYcWLVogMTERO3bseKjHCnPmzMGIESPQpEkTHDlyBJs2bXLZt7Zt22Lnzp2Ijo7GM888g4YNG2LUqFHw9fW1rkEycuRIjBw5EmPGjEHjxo1x4MABTJ482Wm7wcHBiIqKQtmyZdG1a1dERkZizJgx1um2arUaCxcuxPfff4+wsDA0adLEaXuDBg3C0aNH0bp1a7tRnEmTJmHu3LlYunQpGjVqhNatW+Pzzz9/qJVgSzJBegTWt01OTkZgYCCSkpLsnoMWlMFgxuK9lu3sBreqCp3MFC4AGL54q2VEBEAogNaRstWw7lgmrn3+EgDnS70DgKDV5+u55RMyM31PZFlGRADgg95heLVJQ6dtMBCh4iozM9M6K8HLi/lNJQWXUC89nP0bVvr5Xaof02TTqdXQ6eSDkdwxSqNw4JN/ySedrjvmeql3JYmpcvU2TLWvt+bwCby/3rLMu0alYrBBRESPrFIfjKSkpiI+KcXhyEhKWk5i6uZL8ompACAZM21eK0lOVZrAuunUObuyK1e5sioREZUMpToYWbznIgxmEWsPJ8CyWoe9NIPrxNS83teshl4j/9behz++NPWEGcrXMRix5qLrSkRExcigQYNkp+YSySm1wUh8UgoMZtfTXvOTmAoArcLV+Lf3Tqc5IcPVG3FAjMRrxomK23WmW+3abmmHiIjIE0ptMJLbqsFNERoonzj31Ic5C5U5S0w9pv8P1DAjQCe6TE7VCCIuS8pX35v3qv1c++SsLHy56RoqVghU3A4REVFxxGAEQAU/LULLuV4e2FFiKgBUm+CFCkjCm+bNUEHCf56OsKuz5M8rAIA7UgBWmzsoTmDtVt9+5CM5NQvfVUh22WciIqLirlQHI5IkwZiVhWdm7nBcJx+JqXcQiFmm/gCAGbvkatjuo6A0gTU1zT5ZNdXEBFYiIioZSm0wIkkS4lbnLzHVU/699ohdGefuExFRSVFqF6d4dtbOfAUi+rBICFqZ1ccKWUUXk27K+2nh5yO/kzAREdGjoNSOjOTmasVUwPWqqWrkbKxkhgqOpgrnV782fvh3S/ttxEVJwpmEFPh4ad1yHyIqXWJiYhAREYFdu3ahTZs2nu6OW+Rd9XX37t1o27Ytrly58lDLsHM12cLHYASuElMteR1jNd9BB5NsYioA4MB862GbrM+we+abDtvK5iiBdf7uKMzemggA0Go18PO1H/kQRYmBCFExMWjQIKxcuRIAoFKpEBISgrZt22LGjBkIDw93yz2qVauGQYMG4YMPPnBLe+Hh4bhx4wbKlSvnlvaKo5YtW+LGjRuK99ZxFKD17dsXzz//fCH1kgAGI4oNUv8OPyETOODpnhBRcdSiRQv8+OOPEEUR0dHRGDJkCLp27YojR45Yt5YvLrKysqw76bqrLXdxZ3s6nc4t36O3tze8vb3d0CNypHj9C/GgahM2y37lV4akw02prKK2Fu49IPt1/HKWtY4kSRBFmS8OF1JpYMwEMhKVf8n9u8hMUn69Ib3AXc3+4AsNDUWHDh0wdepUHD9+HBcvWlZQXrduHRo0aAC9Xo+QkBCMHDkSGRkZ1uujo6PRqVMnlClTBj4+PqhTpw5Wr14NAKhfvz6uXr2KqVOnQhAECIKAmJgYAMDly5fx0ksvoWzZsihTpgw6dOiA48ePW9vdvXs3BEHAli1b0KZNG3h7e+PTTz9FTEwMBEHA7t27rXUvXbqEHj16IDAwEL6+vmjfvj2OHTtmPZ99zZo1a9CtWzf4+flh2LBhsu/HihUrIAgC9uzZg4YNG8LLywsNGzbErl27FLW3Y8cOtG7dGt7e3ggNDcWgQYNw+/Zt67WSJGHSpEmoWLEi/Pz88Morr+D+/fs2fcj+3rPfq+zvsU+fPihfvjy8vb1Rr149fP/997hz5w4iIiwj323btoUgCNZHO9nfCwCkpqbCz88Py5Yts7lXWloa/Pz8sHTpUmvZggULULduXXh5eaFmzZqYPn26dYdgOdnvxzfffIOuXbvCx8cHERER+PHHH5GcnIyBAwciICAA4eHh+Prrr+3u/8477yAsLAw+Pj5o0qQJfvjhB5s677//PurVqwdfX1+Ehobi1Vdfxc2bN23qCIKA+fPnY/DgwQgMDERISAjGjRsHs9mMwsSREYW+NbeDDo5/iQDACA22mJsjA8p2Hv1kyz2XdW4mmxEdz/VEqJTa9zmwZ5by+v93FfAuY1v2eQMgK0nZ9Y36Az0XKb+fE9n/J20wGLBt2zb0798fU6ZMwSuvvIILFy5gyJAhuH//PlatWgUA6NevHyIjIxEVFQVvb2+cP38eJpMJALBnzx40btwYffv2xdixYwEAQUFBuHXrFlq1aoXu3btjz5490Ov1mD9/Ptq0aYOzZ88iODjY2p+RI0fi448/RpMmTaBSqezyH7KystCxY0eEhoZi+/bt0Ov1mDZtGtq1a4fz58+jQoUK1rrjx4/HRx99hLlz57rMoxg5ciTmzJmDkJAQzJw5E126dMHFixcREpKz8GPe9nbv3o2uXbvi448/xvLly5GUlIRx48ahR48e2LdvHwRBwLx58/DZZ59h/vz5aN26NTZu3IipU6c67UtCQgJatmyJyMhIbNy4EWFhYThz5gwMBgPKly+PgwcPolmzZtiwYQNatmwJtcyeZX5+fujduzdWrlyJwYMHW8t/+OEHSJKEPn36AACmT5+Or7/+Gl988QUaN26Ms2fP4q233kJ6ejpmzpzptJ8TJ07Ep59+ijlz5mDWrFl49dVX8eyzz6Jnz56YNGkSVq5ciSFDhqBNmzaoWbMmAKB79+4wGo347rvvEBoaij/++AP9+/eHv78/OnXqBADQ6/VYuHAhqlatimvXrmHMmDHo168fdu7caXP/qVOnYvLkyZg4cSL+/vtvDBw4EJGRkXj99ded9vthMBhR6CPTqx65b69GDZye99GroVK5J1mWiNzjypUrmDVrFsLDw1G7dm0MGzYM3bp1w5QpUwAAtWvXxvz589GrVy9MnToVERERiImJwdixY1GvXj0AQPXq1a3tlS9fHmq1Gn5+fjaPHRYtWoSwsDAsXrzYWjZv3jxs2bIFq1evtgYuAPDuu++iV69e1te5RwsA4JtvvkFcXByioqKs91i7di0iIiIwf/58m1yVN998U/EH08yZM9G+fXsAwLJly7Br1y4sXLgQ06dPd9jem2++iaFDh+Ltt9+2lq1cuRJVq1bF4cOH0bRpU3z66ad4++23rQHB+PHjcfDgQWzYIL+ZKWAZqZAkCZs2bYK/v2Why9zvc3ZuSbly5Zw+3hk4cCDat2+PK1euWEdTVq5ciV69esHf3x/p6emYNWsWvvvuO3Tp0gUAEBERgQ8//BDDhg3DjBkznE6IGDp0KF5++WUAlqBm2bJliIiIwH/+8x8AwJQpU/DZZ59h586dqFmzJvbs2YO9e/ciISHBmgP0n//8B3/99Re+/PJLazAyadIk6z2qVauG+fPno3nz5oiPj0doaKj1XK9evazvfY0aNbB8+XJs3769+AUjCxcuxKeffoobN26gXr16mDt3Lp5++mmH9ffs2YPRo0cjOjoaoaGhGD9+PIYMGVLgTrvbKt1MeOscz6GNkypgtHGoW+9ZDUCfF+QTx8xmM/YdTULLBjURWSkAOid9YyBCVDz8+eef8PPzgyiKyMjIQLNmzfDTTz9Bq9Xi1KlTNh8EAPDss89CkiScOnUKERERGDduHN544w0sW7YMzz77LLp3747HH7efSZfbwYMHcfz4cfj5+dmUZ2Rk4MKFCzZlzZs3d9rWqVOnUKdOHZsPYS8vLzRr1gwnT57MV1u5tWyZs9ijTqfDk08+iejoaKftHTx4EAcOHLAJsrJduHABtWrVQlxcnE3bANC6dWunwcjhw4fx1FNPWQORgmrbti2qVKmC1atXY/Lkybh69Sp2796N7du3A7A8cktPT0ffvn1tgg6z2YzMzEwkJCTYjAzl1aRJE+txdr3cZRqNBkFBQdZHLAcPHoTJZEKVKlVs2jEYDNZgCQB+/vlnfP7557hw4QKSk5Mhipb92WJiYmyCkSeeeMKmnbCwMFy7dk3Zm1NA+Q5GvvvuO7zzzjtYuHAhWrVqha+++gqdO3fG6dOn7d4IwPJ/CC+88AL+/e9/Y82aNYiKisLQoUMRFBSE3r3lZ7AUhXJIQvZb+6TqPHydfKhfFHN+SEqXcJerN2b5Zmw4Zzl+ojYw9JkWsm0ZDGZI5ssALMEGAw4qtVqPAp76r/L6XjJ7NY06KZ9LIkdd8DV7mjZtirVr10KtVqNSpUouEx6zP6Sy/ztp0iQMGDAAW7duxY4dOzBz5kyMHTsWM2bMcNiGKIpo06YNFi2yf7QUEBBg89rX19dpf5w9bsn7f/Gu2nLFVXuiKGLs2LGyu/4GBwdbP0Rd7QOm5N4FIQgCXnvtNaxatQqTJ0/GqlWrEB4ejrZt2wKAtX/r1q1D3bp17a53NbtHq82ZKZnd39xl2eXZ9xFFEX5+fjhyxH6BzOzr/v77b/Tq1Qvjxo3DrFmzULZsWcTExOD555+HwWC7ordOZ/vvIPe9Cku+E1jnzJmDN954A2+++Sbq1q2LuXPnIjw8XPYfAwAsXrwYVapUwdy5c1G3bl28+eabGDx4MGbPnv3QnX8Y5YRUj96fiBTQellyQJR+yX3QeAUqv17nU+Cuent7o0aNGoiIiLALROrVq2eTKArA+jr7sQxgeWQwdOhQbNiwAdOmTcOCBQus53Q6nV0SYdOmTXH69GmEhoaiRo0aNl8VK1bMV//r16+Ps2fPIiEhwVqWmZmJgwcPon79+vlqK7f9+/dbjw0GAw4dOiT7AZ1b06ZNcerUKbvvqUaNGvD390dgYCDCwsIQFRVlc13e13LtHjhwACkpKbLnsz+ElSRrDho0CJcuXcK+ffuwatUq/Otf/7LOmqpXrx68vLxw6dIl2e9Bo3FvhkTTpk2RkpKC1NRUu3tVrVoVALBv3z6UKVMGs2bNwlNPPYXatWvb/Kw9LV/BiMFgwOHDh9GxY0eb8o4dO9r8wuV24MABu/qdOnXCP//84zCrOCsrC8nJyTZf7ibmXZSsxyLZrzGGIfjE1Nft9yei0uO9997Dpk2bMHXqVJw/fx6//vorhg8fjgEDBiAiIgKpqakYNmwYdu7ciZiYGBw9ehRbt25FZGSktY3q1asjKioK165dw507dyCKIoYPHw5JktC9e3f8+eefiImJwb59+/D+++/jzz//zFcf+/fvj5CQEPTp08f6+GfAgAHIzMx0OGNGiYkTJ2Lnzp04ffo03nzzTdy/fx9Dhzp/7D1t2jRs3rwZI0eOxNGjR3Hp0iVs3boVb775pjWQGDNmDObPn4+VK1fiwoUL+Oyzz/DHH384bXfYsGEQBAHdunXDn3/+iStXruD333/Hxo0bAVhGXXx8fLBt2zbcvHnTbnZObo899hhatWqFESNG4OLFixg4cKD1nJ+fHyZOnIhJkybhyy+/xLlz5xAdHY1169Zh3LhxCt855dq1a4f27dvjpZdewk8//YTLly/j8OHDmD9/Pr766isAQJ06dXDv3j0sXrwYV65cwfr16/Hhhx+6vS8Fla9g5M6dOzCbzTYZ2oDlB+gowkpISJCtbzKZcOfOHdlrZs6cicDAQOuXuxYNyu2ylPPopW7mcqBxf9mvDeIz2CY+6fb7E1Hp0alTJ6xevRrr169H/fr18cYbb6BHjx7WDwqNRoP79+/jjTfeQJ06ddCpUydUrFgR3333nbWNDz/8EImJiahVqxaCgoIQGxuL4OBgHDhwAMHBwejduzdq166NAQMG4MqVKzY5AEp4eXlh27ZtKFOmDJ577jm0aNECiYmJ2LFjh+JFw+TMmTMHI0aMQJMmTXDkyBFs2rTJZd/atm2LnTt3Ijo6Gs888wwaNmyIUaNGwdfX17oGyciRIzFy5EiMGTMGjRs3xoEDBzB58mSn7QYHByMqKgply5ZF165dERkZiTFjxlj/x1itVmPhwoX4/vvvERYWZpOnIWfQoEE4evQoWrdujRo1aticmzRpEubOnYulS5eiUaNGaN26NT7//POHWgnWEUEQsGnTJrz88ssYPXo06tSpgxdffBG//vorHnvsMQDAiy++iClTpmDq1KmIjIzEggUL8MUXX7i9LwUlSPlY3zY+Ph5hYWHYv38/WrTIyXf46KOPsHr1apw9e9bumlq1auH111/Hu+++ay2LiopC69atcePGDdmM5aysLGRl5ay1kZycjPDwcCQlJdk9By0oSZJQdcyPAICrn/Vy+hwxOx/EUb5IfuqNWW6p89nrztsyGCzDhM6SV4lKgszMTOusBC8vZdPiqfjjEuqlh7N/w8nJyQgMDHT5+Z2vB1cVKlSAWq22GwW5deuW3ehHtkqVKsnW12g0KF++vOw1er3erSv6yREEweES8Hm5CkLyU89VEJKNQQgREZUW+XpMo9Pp8MQTT1inL2Xbvn273RSrbC1atLCrv23bNjRt2tQuO5iIiIhKn3zPphk9ejT+97//YdmyZThz5gxGjRqF2NhY67oh7777Lv71r39Z6w8ZMgRXr17F6NGjcebMGSxbtgxLly61WYyHiIhKlkGDBvERDSmW7/lFffv2xd27dzFt2jTcuHED9evXx5YtW6zTh27cuIHY2Fhr/YiICGzZsgWjRo3CggULEBoainnz5nl0jREiIiIqPvKVwOopShNgiOjRwwRWokebOxJYuWsvERULhb3CIxEVDnf82+VGeUTkUTqdDiqVCvHx8QgKCoJOp3PLkt1EVLgkSYLBYMDt27ehUqnslpHPDwYjRORRKpUKERERuHHjBuLj4z3dHSLKJx8fH1SpUsW6HH5BMBghIo/T6XSoUqUKTCaTon1BiKh4UKvV0Gg0Dz2ayWCEiIoFQRCg1Wq5/hBRKcQEViIiIvIoBiNERETkUQxGiIiIyKMYjBAREZFHPRIJrNmLxCYnJ3u4J0RERKRU9ue2q8XeH4lgJCUlBQAQHh7u4Z4QERFRfqWkpCAwMNDh+UdibxpRFBEfHw9/f3+3rsyYnJyM8PBwXLt2jXveeADff8/i++9ZfP89i+9/0ZAkCSkpKQgNDXW6KNojMTKiUqlQuXLlQms/ICCAv4wexPffs/j+exbff8/i+1/4nI2IZGMCKxEREXkUgxEiIiLyqFIdjOj1ekyZMgV6vd7TXSmV+P57Ft9/z+L771l8/4uXRyKBlYiIiEquUj0yQkRERJ7HYISIiIg8isEIEREReRSDESIiIvKoUh2MLFy4EBEREfDy8sITTzyBP//809NdKpH27t2Lrl27IjQ0FIIgYOPGjTbnJUnCBx98gNDQUHh7e6NNmzaIjo72TGdLmJkzZ+LJJ5+Ev78/KlasiB49euDcuXM2dfj+F55FixahYcOG1oW1WrRogd9++816nu990Zo5cyYEQcA777xjLePPoHgotcHId999h3feeQfvvfcejh49iqeffhqdO3dGbGysp7tW4qSlpaFRo0aYP3++7PlPPvkEc+bMwfz583Ho0CFUqlQJHTp0sO5JRAW3Z88eDBs2DH/99Re2b98Ok8mEjh07Ii0tzVqH73/hqVy5MmbNmoV//vkH//zzD9q1a4fu3btbP+z43hedQ4cOYcmSJWjYsKFNOX8GxYRUSjVr1kwaMmSITVmdOnWkCRMmeKhHpQMA6aeffrK+FkVRqlSpkjRr1ixrWWZmphQYGCgtXrzYAz0s2W7duiUBkPbs2SNJEt9/Tyhbtqz0v//9j+99EUpJSZFq1qwpbd++XXr22WelkSNHSpLE3//ipFSOjBgMBhw+fBgdO3a0Ke/YsSP279/voV6VTleuXEFCQoLNz0Kv1+PZZ5/lz6IQJCUlAQDKlSsHgO9/UTKbzVi3bh3S0tLQokULvvdFaNiwYXjxxRfRvn17m3L+DIqPR2KjPHe7c+cOzGYzgoODbcqDg4ORkJDgoV6VTtnvt9zP4urVq57oUoklSRJGjx6N1q1bo379+gD4/heFkydPokWLFsjMzISfnx9++uknREZGWj/s+N4XrnXr1uHIkSM4dOiQ3Tn+/hcfpTIYySYIgs1rSZLsyqho8GdR+IYPH44TJ05g3759duf4/hee2rVr49ixY0hMTMSGDRswcOBA7Nmzx3qe733huXbtGkaOHIlt27bBy8vLYT3+DDyvVD6mqVChAtRqtd0oyK1bt+wiZCpclSpVAgD+LArZ22+/jU2bNmHXrl2oXLmytZzvf+HT6XSoUaMGmjZtipkzZ6JRo0b44osv+N4XgcOHD+PWrVt44oknoNFooNFosGfPHsybNw8ajcb6PvNn4HmlMhjR6XR44oknsH37dpvy7du3o2XLlh7qVekUERGBSpUq2fwsDAYD9uzZw5+FG0iShOHDh+PHH3/Ezp07ERERYXOe73/RkyQJWVlZfO+LwHPPPYeTJ0/i2LFj1q+mTZtiwIABOHbsGKpXr86fQTFRah/TjB49Gq+99hqaNm2KFi1aYMmSJYiNjcWQIUM83bUSJzU1FRcvXrS+vnLlCo4dO4Zy5cqhSpUqeOeddzBjxgzUrFkTNWvWxIwZM+Dj44P+/ft7sNclw7Bhw/DNN9/g559/hr+/v/X/AAMDA+Ht7W1dc4Hvf+GYOHEiOnfujPDwcKSkpGDdunXYvXs3tm7dyve+CPj7+1vzo7L5+vqifPny1nL+DIoJz03k8bwFCxZIVatWlXQ6nfT4449bpzuSe+3atUsCYPc1cOBASZIs0+umTJkiVapUSdLr9dIzzzwjnTx50rOdLiHk3ncA0vLly611+P4XnsGDB1v/xgQFBUnPPfectG3bNut5vvdFL/fUXkniz6C4ECRJkjwUBxERERGVzpwRIiIiKj4YjBAREZFHMRghIiIij2IwQkRERB7FYISIiIg8isEIEREReRSDESIiIvIoBiNERETkUQxGiEoAQRBQrVo1m7KYmBgIgoA2bdrYlK9YsQKCIOCDDz4olL7s3r0bgiBg0KBBiu47aNAgCIKA3bt3F0p/CssHH3wAQRCwYsUKT3eF6JHHYISIiIg8qtRulEdU0oWFheHMmTPw8fHxdFcAAD179sRTTz2FChUqeLorRFTMMBghKqG0Wi3q1Knj6W5YBQYGIjAw0NPdIKJiiI9piEooRzkjznz22WdQqVSIjIxEXFycTVtvvfUWqlWrBr1ej6CgILz00ks4ceKE4raV5Krs3bsX7dq1g7+/PwICAvDiiy/i9OnTsnVNJhO+/PJLPPHEE/Dz84Ofnx+aNWuGRYsWwWw2y15z9+5djBs3DjVr1oSXlxfKlSuH559/Htu2bXPYpz179qBNmzbw8/ND+fLl0bNnT5w9e1bx901ErjEYISIAwMSJEzF27Fg0bdoUf/75J8LCwgAA+/btQ6NGjbBkyRL4+fmhW7duqFmzJn788Uc89dRT2LVrl1vu/8svv6Bdu3a4d+8eOnXqhJCQEGzZsgXPPPMMEhISbOqazWZ0794dI0aMwMWLF9G+fXu0b98eZ8+exdChQ/Hyyy9DFEWba+Li4tCsWTPMnj0bBoMBPXr0QJMmTfDHH3+gU6dO+Pzzz+369PPPP+O5557Dnj170KhRI3Ts2BEnTpxA8+bNcfHiRbd830QEQCKiRx4AqWrVqjZlV65ckQBIzz77rE358uXLJQDSlClTJEmSJLPZLP3nP/+RAEjt2rWTUlJSrHWTkpKkSpUqSVqtVlq/fr1NO9u3b5d0Op0UFhYmZWVlWct37dolAZAGDhzo9L7ZBg4cKAGQVCqV9M0331jLTSaT1Lt3bwmANGnSJJtrZs+eLQGQGjRoIN28edNaHh8fL9WuXVsCIC1YsMDmmi5dukgApNdee00yGAzW8j///FPy8fGR1Gq1dPz4cWt5cnKyVKFCBQmATb+MRqO1zwCk5cuXS0T0cDgyQlSKGQwGvPLKK1iyZAl69uyJLVu2wM/Pz3p+2bJlSEhIwNixY/HSSy/ZXNu+fXsMHToUcXFx+PXXXx+6L/3790e/fv2sr9VqNSZOnAjA8vgmt3nz5gEA5s6di4oVK1rLQ0JC8Omnn9rUAYDLly/j119/RUBAAObNmwetVms917p1awwZMgRmsxkLFy60lq9fvx537txBhw4dbPql0Wjw+eef27xPRPRwGIwQlVJpaWno0qUL1q9fj9dffx3r16+HXq+3qbN9+3YAQI8ePWTbaN26NQDg0KFDD92fjh072pXVqlULAHDjxg1rWWxsLGJjY1GpUiW0a9fO7pouXbqgTJkyOHfuHG7fvg3A8qgJAF544QWUKVPG7prXXnsNAPDnn39ay7Kv6dOnj139smXLyvaXiAqGs2mISqm5c+fCZDLhhRdewNKlSyEIgl2dmJgYAEDz5s2dtnXnzp2H7k/lypXtyrJHH7Kysqxl8fHxAGC3yFs2QRBQtWpVJCYmIj4+HkFBQS6vyS7Prpf7uEqVKrLXOConovxjMEJUSnXu3Bl79+7Ftm3bsGHDBrvHMACss1Jefvllp+uVuApWlJALhh62ft46jq7JLs99XpKkAvWLiPKPwQhRKfX444/jvffeQ8eOHdGvXz+o1Wr07NnTpk7lypVx7tw5vP/++2jYsKGHemorNDQUAHDlyhWHdWJjYwFYckiUXJM9ApRdP/c1V69edXoPInp4zBkhKsWaN2+O33//Hd7e3ujbty82bdpkc759+/YAgI0bN3qgd/KqVKmCKlWqICEhATt37rQ7v3nzZty/fx+1a9dGUFAQgJzcls2bNyMxMdHumjVr1gAAnn76aWtZ9jXr16+3q5+YmOh0bRIiyh8GI0Sl3FNPPYWtW7dCr9fj5ZdfxubNm63n3nrrLQQFBWHGjBlYvny59dFFtrS0NKxatQrXr18v0j6//fbbAIBRo0ZZk1QBICEhAePGjbOpAwDVq1fHiy++iJSUFIwcORJGo9F67sCBA1i0aBHUajWGDh1qLX/55ZdRrlw5bNu2Dd9//7213Gw2Y8yYMUhNTS2074+otGEwQkRo2bIlfvvtN+h0OvTu3Rtbt24FYJk18tNPP8HX1xeDBw9GREQEunTpgt69e+PJJ59EcHAwBg4c6JYE1vwYNWoUOnfujBMnTqBmzZro1asXevbsiVq1auHMmTPo0aMH/vvf/9pc89VXXyEiIgKrVq1CzZo10a9fP7Rv3x5PP/000tLS8Mknn9g8igoICMCSJUugUqnQt29ftG7dGv3790ft2rXxww8/YMCAAUX6PROVZAxGiAiA5bHE5s2bodFo0LNnT+u03latWuHkyZMYM2YMvL29sXPnTmzbtg3Jycno0qULvvvuO0RGRhZpX9VqNTZt2oQvvvgC1atXx++//45t27ahdu3aWLBgAX744QeoVLZ/3sLCwnDo0CGMGTMGGo0GP/74Iw4fPoznnnsOv//+O0aPHm13n969e2P79u14+umncfToUfz222+IjIzEgQMHUKNGjaL6dolKPEHKO+5KREREVIQ4MkJEREQexWCEiIiIPIrBCBEREXkUgxEiIiLyKAYjRERE5FEMRoiIiMijGIwQERGRRzEYISIiIo9iMEJEREQexWCEiIiIPIrBCBEREXkUgxEiIiLyqP8HmbSGl/iVf5oAAAAASUVORK5CYII=",
       "text/plain": [
        "
"
       ]
@@ -2001,7 +1873,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2013,7 +1885,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -2026,7 +1898,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f44d676abbbe4d2f9402df1cab8544a6",
+       "model_id": "899dc09f4fcc47d89003501e302f1ac5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2069,7 +1941,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2085,7 +1957,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -2133,7 +2005,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2149,7 +2021,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -2186,12 +2058,12 @@
    "metadata": {},
    "source": [
     "# Different Covariance Functions\n",
-    "Before we conclude let's talk breifly about why we decided to use the Matérn family of covariance functions instead of the Exponential Quadratic. The Matérn family of covariances is a generalization of the Exponential Quadtratic. When the smooting paramter of the Matérn $\\nu \\to \\infty$ then we have the Exponential Quadratic covariance function. As the smoothing parameter increases the function you are estimating becomes smoother. A few commonly used values for $\\nu$ are $\\frac{1}{2}$, $\\frac{3}{2}$, and $\\frac{5}{2}$. Typically, when estimating a measure that has a spatial dependence we don't want an overly smooth function because that will prevent our estimate to capture abrupt changes in the measurement we are estimating. Below we simulate some data to show how the Matérn is able to capture these abrupt changes, whereas the Exponential Quadratic is overly smooth. For simplicity's sake we will be working in one dimension but these concepts apply with two-dimensional data."
+    "Before we conclude let's talk breifly about why we decided to use the Matérn family of covariance functions instead of the Exponential Quadratic. The Matérn family of covariances is a generalization of the Exponential Quadratic. When the smoothing parameter of the Matérn $\\nu \\to \\infty$ then we have the Exponential Quadratic covariance function. As the smoothing parameter increases the function you are estimating becomes smoother. A few commonly used values for $\\nu$ are $\\frac{1}{2}$, $\\frac{3}{2}$, and $\\frac{5}{2}$. Typically, when estimating a measure that has a spatial dependence we don't want an overly smooth function because that will prevent our estimate to capture abrupt changes in the measurement we are estimating. Below we simulate some data to show how the Matérn is able to capture these abrupt changes, whereas the Exponential Quadratic is overly smooth. For simplicity's sake we will be working in one dimension but these concepts apply with two-dimensional data."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2209,13 +2081,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1d2b5e6d21994933967bf647b065be84",
+       "model_id": "afed3d607c3b40e2a92ab2eaccfbce0e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2229,7 +2101,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "09248c140f444cd0a154fea1762451d0",
+       "model_id": "75543e8883964798ad73d405902b5df3",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2243,7 +2115,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f59afe16c14b4a748bcaedc26432bf47",
+       "model_id": "340c7983404d4da3972691d54dd96742",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2257,7 +2129,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "591fe150120d453996e2dc98d18d4667",
+       "model_id": "f860f4c94adf410e9ef4e962b88cebf5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2272,17 +2144,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2024-08-11 15:37:21.362154: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 2s:\n",
+      "2024-08-24 15:29:41.184552: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 2s:\n",
       "\n",
-      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.41, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpgkbsy19m\" source_line=29}\n",
+      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.41, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpe6igkh66\" source_line=29}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
       "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "2024-08-11 15:37:48.768388: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 29.408388s\n",
+      "2024-08-24 15:30:04.142132: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 24.95935s\n",
       "Constant folding an instruction is taking > 2s:\n",
       "\n",
-      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.41, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpgkbsy19m\" source_line=29}\n",
+      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.41, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpe6igkh66\" source_line=29}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
@@ -2311,7 +2183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -2324,7 +2196,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e53b17d0fafa482dbcd73ad5f15ce4c5",
+       "model_id": "ee26ae2538a44ad18581fc664e28fe40",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2366,7 +2238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2375,16 +2247,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       ""
+       ""
       ]
      },
-     "execution_count": 36,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2408,13 +2280,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "49c6b46323e042faa3255f87fd2cfd9a",
+       "model_id": "e6854a7a8e6f4e0b9e2c0ea3c502ba86",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2428,7 +2300,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5dd921eaa9c14e14a21968060d92e496",
+       "model_id": "d97f05d1ee444792a18b2b0467b76e3a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2442,7 +2314,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9bf404f20e3d4361beba241601ada842",
+       "model_id": "85853f686798493f9fd966cfda528c2c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2456,7 +2328,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3338b795a1ce4b1c8bc9027a94166ee2",
+       "model_id": "907ae8fca45e426bbc7d1a026f5711de",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2471,17 +2343,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2024-08-11 15:38:13.221868: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 4s:\n",
+      "2024-08-24 15:30:33.618878: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 4s:\n",
       "\n",
-      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.35, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpxk2unsey\" source_line=27}\n",
+      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.35, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpv9h6rz9g\" source_line=27}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
       "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "2024-08-11 15:38:38.544939: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 29.324453s\n",
+      "2024-08-24 15:30:52.538064: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 22.924496s\n",
       "Constant folding an instruction is taking > 4s:\n",
       "\n",
-      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.35, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpxk2unsey\" source_line=27}\n",
+      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.35, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpv9h6rz9g\" source_line=27}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
@@ -2509,7 +2381,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -2522,7 +2394,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b171981b8a78482f982ba42e3763f595",
+       "model_id": "fb3cc62d47614138a78103812fb27b9f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2564,7 +2436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2573,16 +2445,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       ""
+       ""
       ]
      },
-     "execution_count": 40,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2656,14 +2528,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Sun Aug 11 2024\n",
+      "Last updated: Sat Aug 24 2024\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.12.4\n",
@@ -2671,15 +2543,15 @@
       "\n",
       "xarray: 2024.7.0\n",
       "\n",
+      "pymc       : 5.16.2\n",
+      "rasterio   : 1.3.10\n",
+      "geopandas  : 1.0.1\n",
       "pandas     : 2.2.2\n",
+      "folium     : 0.17.0\n",
       "mapclassify: 2.8.0\n",
+      "pytensor   : 2.25.2\n",
       "arviz      : 0.19.0\n",
-      "geopandas  : 1.0.1\n",
-      "pymc       : 5.16.2\n",
-      "folium     : 0.17.0\n",
-      "rasterio   : 1.3.10\n",
       "numpy      : 1.26.4\n",
-      "pytensor   : 2.25.2\n",
       "matplotlib : 3.9.1\n",
       "\n",
       "Watermark: 2.4.3\n",
diff --git a/examples/spatial/malaria_prevalence.myst.md b/examples/spatial/malaria_prevalence.myst.md
index b478d41b8..1f558302b 100644
--- a/examples/spatial/malaria_prevalence.myst.md
+++ b/examples/spatial/malaria_prevalence.myst.md
@@ -13,7 +13,7 @@ kernelspec:
 (The prevalence of malaria in the Gambia)=
 # The prevalence of malaria in the Gambia
 
-:::{post} Aug 04, 2024 
+:::{post} Aug 24, 2024 
 :tags: spatial, autoregressive, count data
 :category: beginner, tutorial
 :author: Jonathan Dekermanjian
@@ -64,6 +64,8 @@ except FileNotFoundError:
 gambia.head()
 ```
 
+The data are currently on the individual person level but for our purposes we need it to be on the village level. We will aggregate the data by village to compute the total number of people tested, the number of people who tested positive, and the sample prevalence; which will be computed by dividing the total tested positive by the total tested individuals.
+
 ```{code-cell} ipython3
 # For each village compute the total tested, total positive, and the prevalence
 gambia_agg = (
@@ -72,20 +74,17 @@ gambia_agg = (
     .eval("prev = positive / total")
     .reset_index()
 )
+gambia_agg.head()
 ```
 
-```{code-cell} ipython3
-gambia_agg
-```
+We need to convert our dataframe into a geodataframe. In order to do this we need to know what coordinate reference system (CRS) either geographic coordinate system (GCS) or projected coordinate system (PCS) to use. GCS tells you where your data is on the earth, whereas PCS tells you how to draw your data on a two-dimensional plane. There are many different GCS/PCS because each GCS/PCS is a model of the earth's surface. However, the earth's surface is variable from one location to another. Therefore, different GCS/PCS versions will be more accurate depending on the geography your analysis is based in. Since our analysis is in the Gambia we will use PCS [EPSG 32628](https://epsg.io/32628) and GCS [EPSG 4326](https://epsg.io/4326) when plotting on a globe. Where EPSG stands for European Petroluem Survey Group, which is an organization that maintains geodetic parameters for coordinate systems.
 
 ```{code-cell} ipython3
 # Create a GeoDataframe and set coordinate reference system to EPSG 4326
 gambia_gpdf = gpd.GeoDataFrame(
     gambia_agg, geometry=gpd.points_from_xy(gambia_agg["x"], gambia_agg["y"]), crs="EPSG:32628"
 ).drop(["x", "y"], axis=1)
-```
 
-```{code-cell} ipython3
 gambia_gpdf_4326 = gambia_gpdf.to_crs(crs="EPSG:4326")
 ```
 
@@ -94,6 +93,8 @@ gambia_gpdf_4326 = gambia_gpdf.to_crs(crs="EPSG:4326")
 gambia_gpdf_4326.round(2).explore(column="prev")
 ```
 
+We want to include on our map the elevations within the Gambia. To do that we extract the elevation values store in our raster file and overlay it on the map. Areas with darker red signify higher elevation.
+
 ```{code-cell} ipython3
 # Overlay the raster image of elevations in the Gambia on top of the map
 m = gambia_gpdf_4326.round(2).explore(column="prev")
@@ -152,6 +153,8 @@ m.add_child(
 m
 ```
 
+We will want to include elevation as a covariate in our model. So, we need to extract the values from the raster image and store it into a dataframe.
+
 ```{code-cell} ipython3
 # Pull the elevation values from the raster file and put them into a dataframe
 path = "../data/GMB_elv_msk.tif"
@@ -171,6 +174,8 @@ elevations = gpd.GeoDataFrame(
 )
 ```
 
+After extracting the elevation values we need to perform a spatial join to our aggregated dataset with the prevalences. A spatial join is a special join that joins data based on geographical information. It is critical that when you perform such a join you use a projected coordinate system that is accurate for your geography.
+
 ```{code-cell} ipython3
 # Set coordinate system to EPSG 32628 and spatially join our prevalence dataframe to our elevations dataframe
 elevations = elevations.to_crs(epsg="32628")
@@ -181,20 +186,17 @@ gambia_gpdf = gambia_gpdf.sjoin_nearest(elevations, how="inner")
 ```
 
 ```{code-cell} ipython3
-# Set CRS to EPSG 4326
+# Set CRS to EPSG 4326 for plotting
 gambia_gpdf_4326 = gambia_gpdf.to_crs(crs="EPSG:4326")
-```
-
-```{code-cell} ipython3
-gambia_gpdf_4326
+gambia_gpdf_4326.head()
 ```
 
 ```{code-cell} ipython3
 # Get relevant measures for modeling
-elev = gambia_gpdf_4326["elev"].values
-pos = gambia_gpdf_4326["positive"].values
-n = gambia_gpdf_4326["total"].values
-lonlat = gambia_gpdf_4326[["y", "x"]].values
+elev = gambia_gpdf["elev"].values
+pos = gambia_gpdf["positive"].values
+n = gambia_gpdf["total"].values
+lonlat = gambia_gpdf[["y", "x"]].values
 ```
 
 ```{code-cell} ipython3
@@ -253,7 +255,7 @@ with hsgp_model:
  The posterior mean of the length scale is 0.21 (shown below). Therefore, we can expect the gaussian mean to decay towards 0 (since we set a 0 mean function) as we move 0.21 degrees away from any sampled point on the map. While this is not a hard cut-off due to the lengthscale not being constrained by the observed data it is still useful to be able to intuit how the lengthscale effects the estimation.
 
 ```{code-cell} ipython3
-az.summary(hsgp_trace, var_names=["ls"])
+az.summary(hsgp_trace, var_names=["ls"], kind="stats")
 ```
 
 # Posterior Predictive Checks
@@ -271,10 +273,11 @@ with hsgp_model:
 posterior_prevalence = hsgp_trace["posterior"]["p"]
 ```
 
-Refering to the map we plotted above, we can see that our posterior predictions in the figure below agree with the observed sample.
+we can see that our posterior predictions in the figure below on the left agree with the observed sample shown on the right.
 
 ```{code-cell} ipython3
-fig = plt.figure(figsize=(16, 8))
+plt.subplots(nrows=1, ncols=2, figsize=(16, 8))
+plt.subplot(1, 2, 1)
 
 plt.scatter(
     lonlat[:, 1],
@@ -287,8 +290,24 @@ plt.scatter(
 )
 plt.xlabel("Latitude")
 plt.ylabel("Longitude")
-plt.title("Prevalence of Malaria in the Gambia")
-plt.colorbar(label="Posterior mean");
+plt.title("Estimated Prevalence of Malaria in the Gambia")
+plt.colorbar(label="Posterior mean")
+
+plt.subplot(1, 2, 2)
+
+plt.scatter(
+    lonlat[:, 1],
+    lonlat[:, 0],
+    c=gambia_gpdf_4326["prev"],
+    marker="o",
+    alpha=0.75,
+    s=100,
+    edgecolor=None,
+)
+plt.xlabel("Latitude")
+plt.ylabel("Longitude")
+plt.title("Measured Sample Prevalence of Malaria in the Gambia")
+plt.colorbar(label="Sample Prevalence");
 ```
 
 We can also check if the likelihood (number of individuals who test positive for malaria) agrees with the observed data. As you can see in the below figure, our posterior predictive sample is representative of the observed sample.
@@ -371,7 +390,7 @@ plt.colorbar(label="Posterior mean");
 ```
 
 # Different Covariance Functions
-Before we conclude let's talk breifly about why we decided to use the Matérn family of covariance functions instead of the Exponential Quadratic. The Matérn family of covariances is a generalization of the Exponential Quadtratic. When the smooting paramter of the Matérn $\nu \to \infty$ then we have the Exponential Quadratic covariance function. As the smoothing parameter increases the function you are estimating becomes smoother. A few commonly used values for $\nu$ are $\frac{1}{2}$, $\frac{3}{2}$, and $\frac{5}{2}$. Typically, when estimating a measure that has a spatial dependence we don't want an overly smooth function because that will prevent our estimate to capture abrupt changes in the measurement we are estimating. Below we simulate some data to show how the Matérn is able to capture these abrupt changes, whereas the Exponential Quadratic is overly smooth. For simplicity's sake we will be working in one dimension but these concepts apply with two-dimensional data.
+Before we conclude let's talk breifly about why we decided to use the Matérn family of covariance functions instead of the Exponential Quadratic. The Matérn family of covariances is a generalization of the Exponential Quadratic. When the smoothing parameter of the Matérn $\nu \to \infty$ then we have the Exponential Quadratic covariance function. As the smoothing parameter increases the function you are estimating becomes smoother. A few commonly used values for $\nu$ are $\frac{1}{2}$, $\frac{3}{2}$, and $\frac{5}{2}$. Typically, when estimating a measure that has a spatial dependence we don't want an overly smooth function because that will prevent our estimate to capture abrupt changes in the measurement we are estimating. Below we simulate some data to show how the Matérn is able to capture these abrupt changes, whereas the Exponential Quadratic is overly smooth. For simplicity's sake we will be working in one dimension but these concepts apply with two-dimensional data.
 
 ```{code-cell} ipython3
 # simulate 1-dimensional data

From ed7b1a09eed8723afd673084b1b266c71471dc5b Mon Sep 17 00:00:00 2001
From: Jonathan Dekermanjian 
Date: Mon, 26 Aug 2024 19:25:00 -0600
Subject: [PATCH 4/5] replaced HSGP with GP in covariance functions talk

---
 examples/spatial/malaria_prevalence.ipynb   | 433 +++++++++-----------
 examples/spatial/malaria_prevalence.myst.md |  26 +-
 2 files changed, 214 insertions(+), 245 deletions(-)

diff --git a/examples/spatial/malaria_prevalence.ipynb b/examples/spatial/malaria_prevalence.ipynb
index f4001a2b1..b727cc27b 100644
--- a/examples/spatial/malaria_prevalence.ipynb
+++ b/examples/spatial/malaria_prevalence.ipynb
@@ -370,7 +370,7 @@
        "            <meta name="viewport" content="width=device-width,\n",
        "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
        "            <style>\n",
-       "                #map_11f853473c857a98b5d589b0b7b3db3e {\n",
+       "                #map_967f895231b9fc3e1369b968a1062972 {\n",
        "                    position: relative;\n",
        "                    width: 100.0%;\n",
        "                    height: 100.0%;\n",
@@ -401,14 +401,14 @@
        "<body>\n",
        "    \n",
        "    \n",
-       "            <div class="folium-map" id="map_11f853473c857a98b5d589b0b7b3db3e" ></div>\n",
+       "            <div class="folium-map" id="map_967f895231b9fc3e1369b968a1062972" ></div>\n",
        "        \n",
        "</body>\n",
        "<script>\n",
        "    \n",
        "    \n",
-       "            var map_11f853473c857a98b5d589b0b7b3db3e = L.map(\n",
-       "                "map_11f853473c857a98b5d589b0b7b3db3e",\n",
+       "            var map_967f895231b9fc3e1369b968a1062972 = L.map(\n",
+       "                "map_967f895231b9fc3e1369b968a1062972",\n",
        "                {\n",
        "                    center: [13.424895869843876, -15.13013903053501],\n",
        "                    crs: L.CRS.EPSG3857,\n",
@@ -417,28 +417,28 @@
        "                    preferCanvas: false,\n",
        "                }\n",
        "            );\n",
-       "            L.control.scale().addTo(map_11f853473c857a98b5d589b0b7b3db3e);\n",
+       "            L.control.scale().addTo(map_967f895231b9fc3e1369b968a1062972);\n",
        "\n",
        "            \n",
        "\n",
        "        \n",
        "    \n",
-       "            var tile_layer_16c8c321751323b887840a5ef427746e = L.tileLayer(\n",
+       "            var tile_layer_2eef207b97c9a574db43dfd83e119793 = L.tileLayer(\n",
        "                "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
        "                {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            tile_layer_16c8c321751323b887840a5ef427746e.addTo(map_11f853473c857a98b5d589b0b7b3db3e);\n",
+       "            tile_layer_2eef207b97c9a574db43dfd83e119793.addTo(map_967f895231b9fc3e1369b968a1062972);\n",
        "        \n",
        "    \n",
-       "            map_11f853473c857a98b5d589b0b7b3db3e.fitBounds(\n",
+       "            map_967f895231b9fc3e1369b968a1062972.fitBounds(\n",
        "                [[13.185409602758718, -16.38755103466753], [13.664382136929033, -13.87272702640249]],\n",
        "                {}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_styler(feature) {\n",
+       "        function geo_json_f17736105581b7d2d11424727854e773_styler(feature) {\n",
        "            switch(feature.id) {\n",
        "                case "0": \n",
        "                    return {"color": "#1f9f88", "fillColor": "#1f9f88", "fillOpacity": 0.5, "weight": 2};\n",
@@ -530,52 +530,52 @@
        "                    return {"color": "#31688e", "fillColor": "#31688e", "fillOpacity": 0.5, "weight": 2};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_highlighter(feature) {\n",
+       "        function geo_json_f17736105581b7d2d11424727854e773_highlighter(feature) {\n",
        "            switch(feature.id) {\n",
        "                default:\n",
        "                    return {"fillOpacity": 0.75};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_pointToLayer(feature, latlng) {\n",
+       "        function geo_json_f17736105581b7d2d11424727854e773_pointToLayer(feature, latlng) {\n",
        "            var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n",
        "            \n",
-       "            let style = geo_json_443c4f559b07d7abbfe147b939d06b62_styler(feature)\n",
+       "            let style = geo_json_f17736105581b7d2d11424727854e773_styler(feature)\n",
        "            Object.assign(opts, style)\n",
        "            \n",
        "            return new L.CircleMarker(latlng, opts)\n",
        "        }\n",
        "\n",
-       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_onEachFeature(feature, layer) {\n",
+       "        function geo_json_f17736105581b7d2d11424727854e773_onEachFeature(feature, layer) {\n",
        "            layer.on({\n",
        "                mouseout: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                            geo_json_443c4f559b07d7abbfe147b939d06b62.resetStyle(e.target);\n",
+       "                            geo_json_f17736105581b7d2d11424727854e773.resetStyle(e.target);\n",
        "                    }\n",
        "                },\n",
        "                mouseover: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                        const highlightStyle = geo_json_443c4f559b07d7abbfe147b939d06b62_highlighter(e.target.feature)\n",
+       "                        const highlightStyle = geo_json_f17736105581b7d2d11424727854e773_highlighter(e.target.feature)\n",
        "                        e.target.setStyle(highlightStyle);\n",
        "                    }\n",
        "                },\n",
        "            });\n",
        "        };\n",
-       "        var geo_json_443c4f559b07d7abbfe147b939d06b62 = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_443c4f559b07d7abbfe147b939d06b62_onEachFeature,\n",
+       "        var geo_json_f17736105581b7d2d11424727854e773 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_f17736105581b7d2d11424727854e773_onEachFeature,\n",
        "            \n",
-       "                style: geo_json_443c4f559b07d7abbfe147b939d06b62_styler,\n",
-       "                pointToLayer: geo_json_443c4f559b07d7abbfe147b939d06b62_pointToLayer,\n",
+       "                style: geo_json_f17736105581b7d2d11424727854e773_styler,\n",
+       "                pointToLayer: geo_json_f17736105581b7d2d11424727854e773_pointToLayer,\n",
        "        });\n",
        "\n",
-       "        function geo_json_443c4f559b07d7abbfe147b939d06b62_add (data) {\n",
-       "            geo_json_443c4f559b07d7abbfe147b939d06b62\n",
+       "        function geo_json_f17736105581b7d2d11424727854e773_add (data) {\n",
+       "            geo_json_f17736105581b7d2d11424727854e773\n",
        "                .addData(data);\n",
        "        }\n",
-       "            geo_json_443c4f559b07d7abbfe147b939d06b62_add({"bbox": [-16.38755103466753, 13.185409602758718, -13.87272702640249, 13.664382136929033], "features": [{"bbox": [-16.38755103466753, 13.185409602758718, -16.38755103466753, 13.185409602758718], "geometry": {"coordinates": [-16.38755103466753, 13.185409602758718], "type": "Point"}, "id": "0", "properties": {"__folium_color": "#1f9f88", "positive": 17, "prev": 0.52, "total": 33}, "type": "Feature"}, {"bbox": [-16.305430234499706, 13.204437271999842, -16.305430234499706, 13.204437271999842], "geometry": {"coordinates": [-16.305430234499706, 13.204437271999842], "type": "Point"}, "id": "1", "properties": {"__folium_color": "#32658e", "positive": 19, "prev": 0.3, "total": 63}, "type": "Feature"}, {"bbox": [-16.289140839656273, 13.2037423480732, -16.289140839656273, 13.2037423480732], "geometry": {"coordinates": [-16.289140839656273, 13.2037423480732], "type": "Point"}, "id": "2", "properties": {"__folium_color": "#26828e", 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[-13.971679680259129, 13.56534792956765, -13.971679680259129, 13.56534792956765], "geometry": {"coordinates": [-13.971679680259129, 13.56534792956765], "type": "Point"}, "id": "59", "properties": {"__folium_color": "#93d741", "positive": 29, "prev": 0.78, "total": 37}, "type": "Feature"}, {"bbox": [-13.951729640198272, 13.329989930003077, -13.951729640198272, 13.329989930003077], "geometry": {"coordinates": [-13.951729640198272, 13.329989930003077], "type": "Point"}, "id": "60", "properties": {"__folium_color": "#65cb5e", "positive": 20, "prev": 0.71, "total": 28}, "type": "Feature"}, {"bbox": [-13.940887634640678, 13.410835334322869, -13.940887634640678, 13.410835334322869], "geometry": {"coordinates": [-13.940887634640678, 13.410835334322869], "type": "Point"}, "id": "61", "properties": {"__folium_color": "#39568c", "positive": 15, "prev": 0.25, "total": 60}, "type": "Feature"}, {"bbox": [-13.940697649324147, 13.334030688099153, -13.940697649324147, 13.334030688099153], "geometry": {"coordinates": [-13.940697649324147, 13.334030688099153], "type": "Point"}, "id": "62", "properties": {"__folium_color": "#25848e", "positive": 13, "prev": 0.42, "total": 31}, "type": "Feature"}, {"bbox": [-13.890606975512293, 13.544586711845753, -13.890606975512293, 13.544586711845753], "geometry": {"coordinates": [-13.890606975512293, 13.544586711845753], "type": "Point"}, "id": "63", "properties": {"__folium_color": "#f8e621", "positive": 12, "prev": 0.92, "total": 13}, "type": "Feature"}, {"bbox": [-13.87272702640249, 13.330944101097009, -13.87272702640249, 13.330944101097009], "geometry": {"coordinates": [-13.87272702640249, 13.330944101097009], "type": "Point"}, "id": "64", "properties": {"__folium_color": "#1f948c", "positive": 15, "prev": 0.48, "total": 31}, "type": "Feature"}], "type": "FeatureCollection"});\n",
        "\n",
        "        \n",
        "    \n",
-       "    geo_json_443c4f559b07d7abbfe147b939d06b62.bindTooltip(\n",
+       "    geo_json_f17736105581b7d2d11424727854e773.bindTooltip(\n",
        "    function(layer){\n",
        "    let div = L.DomUtil.create('div');\n",
        "    \n",
@@ -599,45 +599,45 @@
        "    ,{"className": "foliumtooltip", "sticky": true});\n",
        "                     \n",
        "    \n",
-       "            geo_json_443c4f559b07d7abbfe147b939d06b62.addTo(map_11f853473c857a98b5d589b0b7b3db3e);\n",
+       "            geo_json_f17736105581b7d2d11424727854e773.addTo(map_967f895231b9fc3e1369b968a1062972);\n",
        "        \n",
        "    \n",
-       "    var color_map_05d174e37d3385ee21c48be16fe3979e = {};\n",
+       "    var color_map_8c3197a7125214cefa5bcc62acad568d = {};\n",
        "\n",
        "    \n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.color = d3.scale.threshold()\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.color = d3.scale.threshold()\n",
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0.5386172344689379, 0.5404809619238476, 0.5423446893787575, 0.5442084168336674, 0.5460721442885772, 0.547935871743487, 0.5497995991983968, 0.5516633266533066, 0.5535270541082165, 0.5553907815631263, 0.5572545090180361, 0.5591182364729459, 0.5609819639278557, 0.5628456913827655, 0.5647094188376753, 0.5665731462925853, 0.5684368737474951, 0.5703006012024049, 0.5721643286573146, 0.5740280561122244, 0.5758917835671343, 0.5777555110220441, 0.579619238476954, 0.5814829659318638, 0.5833466933867736, 0.5852104208416834, 0.5870741482965932, 0.588937875751503, 0.5908016032064128, 0.5926653306613227, 0.5945290581162325, 0.5963927855711423, 0.5982565130260522, 0.600120240480962, 0.6019839679358718, 0.6038476953907815, 0.6057114228456913, 0.6075751503006012, 0.6094388777555111, 0.6113026052104209, 0.6131663326653307, 0.6150300601202405, 0.6168937875751503, 0.6187575150300602, 0.62062124248497, 0.6224849699398798, 0.6243486973947896, 0.6262124248496994, 0.6280761523046092, 0.6299398797595192, 0.631803607214429, 0.6336673346693387, 0.6355310621242485, 0.6373947895791583, 0.6392585170340681, 0.641122244488978, 0.6429859719438878, 0.6448496993987977, 0.6467134268537075, 0.6485771543086173, 0.650440881763527, 0.6523046092184369, 0.6541683366733467, 0.6560320641282565, 0.6578957915831664, 0.6597595190380762, 0.6616232464929861, 0.6634869739478959, 0.6653507014028056, 0.6672144288577154, 0.6690781563126252, 0.670941883767535, 0.672805611222445, 0.6746693386773548, 0.6765330661322646, 0.6783967935871744, 0.6802605210420842, 0.6821242484969939, 0.6839879759519039, 0.6858517034068137, 0.6877154308617235, 0.6895791583166333, 0.6914428857715431, 0.6933066132264529, 0.6951703406813629, 0.6970340681362726, 0.6988977955911824, 0.7007615230460922, 0.702625250501002, 0.7044889779559118, 0.7063527054108217, 0.7082164328657315, 0.7100801603206414, 0.7119438877755511, 0.7138076152304609, 0.7156713426853708, 0.7175350701402806, 0.7193987975951904, 0.7212625250501002, 0.7231262525050101, 0.7249899799599199, 0.7268537074148298, 0.7287174348697395, 0.7305811623246493, 0.7324448897795591, 0.7343086172344689, 0.7361723446893788, 0.7380360721442887, 0.7398997995991985, 0.7417635270541083, 0.743627254509018, 0.7454909819639278, 0.7473547094188376, 0.7492184368737476, 0.7510821643286574, 0.7529458917835672, 0.754809619238477, 0.7566733466933868, 0.7585370741482967, 0.7604008016032064, 0.7622645290581163, 0.7641282565130261, 0.7659919839679359, 0.7678557114228457, 0.7697194388777556, 0.7715831663326654, 0.7734468937875753, 0.775310621242485, 0.7771743486973948, 0.7790380761523046, 0.7809018036072145, 0.7827655310621243, 0.7846292585170341, 0.786492985971944, 0.7883567134268538, 0.7902204408817635, 0.7920841683366734, 0.7939478957915832, 0.795811623246493, 0.7976753507014028, 0.7995390781563126, 0.8014028056112226, 0.8032665330661324, 0.8051302605210422, 0.8069939879759519, 0.8088577154308617, 0.8107214428857715, 0.8125851703406815, 0.8144488977955913, 0.8163126252505011, 0.8181763527054109, 0.8200400801603207, 0.8219038076152304, 0.8237675350701403, 0.8256312625250501, 0.82749498997996, 0.8293587174348698, 0.8312224448897796, 0.8330861723446894, 0.8349498997995993, 0.8368136272545091, 0.8386773547094188, 0.8405410821643287, 0.8424048096192385, 0.8442685370741483, 0.8461322645290582, 0.847995991983968, 0.8498597194388778, 0.8517234468937877, 0.8535871743486974, 0.8554509018036073, 0.8573146292585171, 0.8591783567134269, 0.8610420841683367, 0.8629058116232465, 0.8647695390781563, 0.8666332665330663, 0.868496993987976, 0.8703607214428858, 0.8722244488977956, 0.8740881763527054, 0.8759519038076152, 0.8778156312625252, 0.879679358717435, 0.8815430861723448, 0.8834068136272546, 0.8852705410821643, 0.8871342685370741, 0.888997995991984, 0.8908617234468938, 0.8927254509018037, 0.8945891783567135, 0.8964529058116233, 0.8983166332665332, 0.9001803607214429, 0.9020440881763527, 0.9039078156312625, 0.9057715430861724, 0.9076352705410822, 0.9094989979959921, 0.9113627254509019, 0.9132264529058117, 0.9150901803607215, 0.9169539078156312, 0.918817635270541, 0.920681362725451, 0.9225450901803608, 0.9244088176352706, 0.9262725450901804, 0.9281362725450902, 0.93])\n",
        "              .range(['#440154ff', '#440155ff', '#440256ff', '#440356ff', '#450457ff', '#450458ff', '#450559ff', '#450659ff', '#46075aff', '#46075bff', '#46085cff', '#46095cff', '#460a5dff', '#460a5eff', '#460b5eff', '#460c5fff', '#470d60ff', '#470d61ff', '#470e61ff', '#470f62ff', '#471063ff', '#471064ff', '#471164ff', '#471265ff', '#471365ff', '#481366ff', '#481467ff', '#481568ff', '#481668ff', '#481669ff', '#481769ff', '#48176aff', '#48186bff', '#48196cff', '#481a6cff', '#481a6dff', '#481b6dff', '#481c6eff', '#481c6eff', '#481d6fff', '#481d6fff', '#481f70ff', '#481f70ff', '#482071ff', '#482072ff', '#482173ff', '#482273ff', '#482374ff', '#482374ff', '#482475ff', '#482476ff', '#482576ff', '#482577ff', '#482677ff', '#482778ff', '#482878ff', '#482879ff', '#482979ff', '#47297aff', '#472a7aff', '#472b7aff', '#472c7aff', '#472c7bff', '#472d7bff', '#472d7cff', '#472e7cff', '#472e7dff', '#472f7dff', '#462f7eff', '#46307eff', '#46317eff', '#46327eff', '#46327fff', '#46337fff', '#463480ff', '#453480ff', '#453581ff', '#453581ff', '#453681ff', '#453781ff', '#453882ff', '#443882ff', '#443983ff', '#443983ff', '#443a83ff', '#443a83ff', '#443b84ff', '#433c84ff', '#433d84ff', '#433d85ff', '#433e85ff', '#423e85ff', '#423f85ff', '#423f86ff', '#424086ff', '#424086ff', '#424186ff', '#414187ff', '#414287ff', '#414387ff', '#414487ff', '#404488ff', '#404588ff', '#404588ff', '#404688ff', '#3f4688ff', '#3f4788ff', '#3f4789ff', '#3f4889ff', '#3e4889ff', '#3e4989ff', '#3e4a89ff', '#3e4a89ff', '#3e4b8aff', '#3d4c8aff', '#3d4d8aff', '#3d4d8aff', '#3d4e8aff', '#3c4e8aff', '#3c4f8aff', '#3c4f8aff', '#3c508bff', '#3b508bff', '#3b518bff', '#3b518bff', '#3b528bff', '#3a528bff', '#3a538bff', '#3a538bff', '#3a548cff', '#39548cff', '#39558cff', '#39558cff', '#39568cff', '#38578cff', '#38588cff', '#38588cff', '#38598cff', '#37598cff', '#375a8cff', '#375a8dff', '#375b8dff', '#365b8dff', '#365c8dff', '#365c8dff', '#365d8dff', '#355d8dff', '#355e8dff', '#355f8dff', '#355f8dff', '#34608dff', '#34608dff', '#34618dff', '#34618dff', '#33628dff', '#33628dff', '#33638dff', '#32638dff', '#32648eff', '#32648eff', '#32658eff', '#31658eff', '#31668eff', '#31668eff', '#31678eff', '#31678eff', '#31688eff', '#30688eff', '#30698eff', '#30698eff', '#306a8eff', '#2f6a8eff', '#2f6b8eff', '#2f6b8eff', '#2f6c8eff', '#2e6c8eff', '#2e6d8eff', '#2e6d8eff', '#2e6e8eff', '#2e6e8eff', '#2e6f8eff', '#2d6f8eff', '#2d708eff', '#2d708eff', '#2d718eff', '#2c718eff', '#2c718eff', '#2c728eff', '#2c728eff', '#2c738eff', '#2c738eff', '#2b748eff', '#2b748eff', '#2b758eff', '#2b758eff', '#2a768eff', '#2a768eff', '#2a778eff', '#2a778eff', '#2a788eff', '#29788eff', '#29798eff', '#29798eff', '#297a8eff', '#297a8eff', '#297b8eff', '#287b8eff', '#287c8eff', '#287c8eff', '#287d8eff', '#277d8eff', '#277e8eff', '#277e8eff', '#277f8eff', '#277f8eff', '#27808eff', '#26808eff', '#26818eff', '#26818eff', '#26828eff', '#26828eff', '#26828eff', '#25828eff', '#25838eff', '#25838eff', '#25848eff', '#25858eff', '#25858eff', '#24868eff', '#24868eff', '#24878eff', '#24878eff', '#23888eff', '#23888eff', '#23898eff', '#23898eff', '#238a8dff', '#238a8dff', '#228b8dff', '#228b8dff', '#228c8dff', '#228c8dff', '#228d8dff', '#218d8dff', '#218e8dff', '#218e8dff', '#218f8dff', '#218f8dff', '#21908dff', '#21908dff', '#21918cff', '#20918cff', '#20928cff', '#20928cff', '#20928cff', '#20928cff', '#20938cff', '#1f938cff', '#1f948cff', '#1f948cff', '#1f958bff', '#1f958bff', '#1f968bff', '#1f968bff', '#1f978bff', '#1f988bff', '#1f988bff', '#1f998bff', '#1f998aff', '#1f9a8aff', '#1f9a8aff', '#1e9b8aff', '#1e9b8aff', '#1e9c8aff', '#1e9c89ff', '#1e9d89ff', '#1e9d89ff', '#1e9e89ff', '#1f9e89ff', '#1f9f88ff', '#1f9f88ff', '#1fa088ff', '#1fa088ff', '#1fa188ff', '#1fa188ff', '#1fa187ff', '#1fa187ff', '#1fa287ff', '#1fa287ff', '#1fa386ff', '#20a386ff', '#20a486ff', '#20a486ff', '#20a585ff', '#21a585ff', '#21a685ff', '#21a685ff', '#21a785ff', '#22a785ff', '#22a884ff', '#22a884ff', '#22a983ff', '#23a983ff', '#23aa83ff', '#24ab83ff', '#25ab82ff', '#25ac82ff', '#25ac82ff', '#25ad82ff', '#26ad81ff', '#26ad81ff', '#27ad81ff', '#27ae81ff', '#28ae80ff', '#28af80ff', '#29af7fff', '#29b07fff', '#2ab07fff', '#2bb17eff', '#2cb17eff', '#2cb27dff', '#2db27dff', '#2db37cff', '#2eb37cff', '#2eb47cff', '#2fb47cff', '#30b57bff', '#31b57bff', '#31b67aff', '#32b67aff', '#33b679ff', '#34b679ff', '#34b779ff', '#35b779ff', '#36b878ff', '#37b878ff', '#37b977ff', '#38b977ff', '#39ba76ff', '#3aba76ff', '#3abb75ff', '#3bbb75ff', '#3cbc74ff', '#3dbc74ff', '#3ebc73ff', '#3fbd73ff', '#40bd72ff', '#40be72ff', '#41be71ff', '#42bf71ff', '#43bf70ff', '#45c070ff', '#46c06fff', '#47c16fff', '#48c16eff', '#49c16eff', '#4ac16dff', '#4bc26cff', '#4cc26cff', '#4dc36bff', '#4ec36bff', '#4fc46aff', '#50c46aff', '#51c569ff', '#52c569ff', '#53c568ff', '#54c568ff', '#55c667ff', '#56c667ff', '#57c766ff', '#58c765ff', '#59c864ff', '#5ac864ff', '#5bc863ff', '#5cc863ff', '#5dc962ff', '#5ec962ff', '#5fca61ff', '#60ca60ff', '#62cb5fff', '#63cb5fff', '#64cb5eff', '#65cc5dff', '#66cc5cff', '#67cd5cff', '#68cd5bff', '#6acd5bff', '#6bcd5aff', '#6cce59ff', '#6ece58ff', '#6fcf58ff', '#70cf57ff', '#71d057ff', '#72d056ff', '#74d055ff', '#75d054ff', '#76d153ff', '#77d153ff', '#78d152ff', '#7ad151ff', '#7bd250ff', '#7cd250ff', '#7dd34fff', '#7fd34eff', '#80d34dff', '#81d34dff', '#82d44cff', '#84d44bff', '#85d54aff', '#86d549ff', '#88d548ff', '#89d548ff', '#8ad647ff', '#8bd646ff', '#8dd645ff', '#8ed645ff', '#8fd744ff', '#90d743ff', '#92d742ff', '#93d741ff', '#94d840ff', '#96d83fff', '#97d83eff', '#99d93dff', '#9ad93cff', '#9bd93cff', '#9dd93bff', '#9eda3aff', '#9fda39ff', '#a1da38ff', '#a2da37ff', '#a3db36ff', '#a4db36ff', '#a6db35ff', '#a8db34ff', '#a9dc33ff', '#aadc32ff', '#abdc31ff', '#addc30ff', '#aedd2fff', '#b0dd2fff', '#b1dd2eff', '#b2dd2dff', '#b3de2cff', '#b5de2bff', '#b6de2aff', '#b8de29ff', '#b9de28ff', '#bade28ff', '#bcdf27ff', '#bddf26ff', '#bfdf25ff', '#c0df25ff', '#c1df24ff', '#c2df23ff', '#c4e022ff', '#c5e021ff', '#c7e020ff', '#c8e020ff', '#c9e11fff', '#cbe11eff', '#cce11dff', '#cee11dff', '#cfe11cff', '#d1e11bff', '#d2e21bff', '#d3e21aff', '#d4e21aff', '#d6e219ff', '#d7e219ff', '#d9e319ff', '#dae319ff', '#dbe318ff', '#dde318ff', '#dee318ff', '#dfe318ff', '#e0e418ff', '#e2e418ff', '#e3e418ff', '#e5e418ff', '#e6e419ff', '#e7e419ff', '#e8e519ff', '#eae519ff', '#ebe51aff', '#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n",
        "    \n",
        "\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.x = d3.scale.linear()\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.x = d3.scale.linear()\n",
        "              .domain([0.0, 0.93])\n",
        "              .range([0, 450 - 50]);\n",
        "\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.legend = L.control({position: 'topright'});\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.legend.addTo(map_11f853473c857a98b5d589b0b7b3db3e);\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.legend = L.control({position: 'topright'});\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.legend.addTo(map_967f895231b9fc3e1369b968a1062972);\n",
        "\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.xAxis = d3.svg.axis()\n",
-       "        .scale(color_map_05d174e37d3385ee21c48be16fe3979e.x)\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.xAxis = d3.svg.axis()\n",
+       "        .scale(color_map_8c3197a7125214cefa5bcc62acad568d.x)\n",
        "        .orient("top")\n",
        "        .tickSize(1)\n",
        "        .tickValues([0.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.09482352941176471, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.18964705882352942, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.28447058823529414, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.37929411764705884, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.47411764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.5689411764705883, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.663764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.7585882352941177, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.8534117647058824, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);\n",
        "\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.svg = d3.select(".legend.leaflet-control").append("svg")\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.svg = d3.select(".legend.leaflet-control").append("svg")\n",
        "        .attr("id", 'legend')\n",
        "        .attr("width", 450)\n",
        "        .attr("height", 40);\n",
        "\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.g = color_map_05d174e37d3385ee21c48be16fe3979e.svg.append("g")\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.g = color_map_8c3197a7125214cefa5bcc62acad568d.svg.append("g")\n",
        "        .attr("class", "key")\n",
        "        .attr("transform", "translate(25,16)");\n",
        "\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.g.selectAll("rect")\n",
-       "        .data(color_map_05d174e37d3385ee21c48be16fe3979e.color.range().map(function(d, i) {\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.g.selectAll("rect")\n",
+       "        .data(color_map_8c3197a7125214cefa5bcc62acad568d.color.range().map(function(d, i) {\n",
        "          return {\n",
-       "            x0: i ? color_map_05d174e37d3385ee21c48be16fe3979e.x(color_map_05d174e37d3385ee21c48be16fe3979e.color.domain()[i - 1]) : color_map_05d174e37d3385ee21c48be16fe3979e.x.range()[0],\n",
-       "            x1: i < color_map_05d174e37d3385ee21c48be16fe3979e.color.domain().length ? color_map_05d174e37d3385ee21c48be16fe3979e.x(color_map_05d174e37d3385ee21c48be16fe3979e.color.domain()[i]) : color_map_05d174e37d3385ee21c48be16fe3979e.x.range()[1],\n",
+       "            x0: i ? color_map_8c3197a7125214cefa5bcc62acad568d.x(color_map_8c3197a7125214cefa5bcc62acad568d.color.domain()[i - 1]) : color_map_8c3197a7125214cefa5bcc62acad568d.x.range()[0],\n",
+       "            x1: i < color_map_8c3197a7125214cefa5bcc62acad568d.color.domain().length ? color_map_8c3197a7125214cefa5bcc62acad568d.x(color_map_8c3197a7125214cefa5bcc62acad568d.color.domain()[i]) : color_map_8c3197a7125214cefa5bcc62acad568d.x.range()[1],\n",
        "            z: d\n",
        "          };\n",
        "        }))\n",
@@ -647,7 +647,7 @@
        "        .attr("width", function(d) { return d.x1 - d.x0; })\n",
        "        .style("fill", function(d) { return d.z; });\n",
        "\n",
-       "    color_map_05d174e37d3385ee21c48be16fe3979e.g.call(color_map_05d174e37d3385ee21c48be16fe3979e.xAxis).append("text")\n",
+       "    color_map_8c3197a7125214cefa5bcc62acad568d.g.call(color_map_8c3197a7125214cefa5bcc62acad568d.xAxis).append("text")\n",
        "        .attr("class", "caption")\n",
        "        .attr("y", 21)\n",
        "        .text("prev");\n",
@@ -655,7 +655,7 @@
        "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 6,
@@ -718,7 +718,7 @@
        "            <meta name="viewport" content="width=device-width,\n",
        "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
        "            <style>\n",
-       "                #map_7d303d30abb027049a0081a0ea522221 {\n",
+       "                #map_f0d3662d685a338b7eae153f0ab2c9cb {\n",
        "                    position: relative;\n",
        "                    width: 100.0%;\n",
        "                    height: 100.0%;\n",
@@ -762,14 +762,14 @@
        "<body>\n",
        "    \n",
        "    \n",
-       "            <div class="folium-map" id="map_7d303d30abb027049a0081a0ea522221" ></div>\n",
+       "            <div class="folium-map" id="map_f0d3662d685a338b7eae153f0ab2c9cb" ></div>\n",
        "        \n",
        "</body>\n",
        "<script>\n",
        "    \n",
        "    \n",
-       "            var map_7d303d30abb027049a0081a0ea522221 = L.map(\n",
-       "                "map_7d303d30abb027049a0081a0ea522221",\n",
+       "            var map_f0d3662d685a338b7eae153f0ab2c9cb = L.map(\n",
+       "                "map_f0d3662d685a338b7eae153f0ab2c9cb",\n",
        "                {\n",
        "                    center: [13.424895869843876, -15.13013903053501],\n",
        "                    crs: L.CRS.EPSG3857,\n",
@@ -778,28 +778,28 @@
        "                    preferCanvas: false,\n",
        "                }\n",
        "            );\n",
-       "            L.control.scale().addTo(map_7d303d30abb027049a0081a0ea522221);\n",
+       "            L.control.scale().addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
        "\n",
        "            \n",
        "\n",
        "        \n",
        "    \n",
-       "            var tile_layer_8000578a16b444e639a79a01ed067ed1 = L.tileLayer(\n",
+       "            var tile_layer_e1d038d3504db03abee10159317b1da8 = L.tileLayer(\n",
        "                "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
        "                {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            tile_layer_8000578a16b444e639a79a01ed067ed1.addTo(map_7d303d30abb027049a0081a0ea522221);\n",
+       "            tile_layer_e1d038d3504db03abee10159317b1da8.addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
        "        \n",
        "    \n",
-       "            map_7d303d30abb027049a0081a0ea522221.fitBounds(\n",
+       "            map_f0d3662d685a338b7eae153f0ab2c9cb.fitBounds(\n",
        "                [[13.185409602758718, -16.38755103466753], [13.664382136929033, -13.87272702640249]],\n",
        "                {}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_styler(feature) {\n",
+       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_styler(feature) {\n",
        "            switch(feature.id) {\n",
        "                case "0": \n",
        "                    return {"color": "#1f9f88", "fillColor": "#1f9f88", "fillOpacity": 0.5, "weight": 2};\n",
@@ -891,52 +891,52 @@
        "                    return {"color": "#31688e", "fillColor": "#31688e", "fillOpacity": 0.5, "weight": 2};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_highlighter(feature) {\n",
+       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_highlighter(feature) {\n",
        "            switch(feature.id) {\n",
        "                default:\n",
        "                    return {"fillOpacity": 0.75};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_pointToLayer(feature, latlng) {\n",
+       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_pointToLayer(feature, latlng) {\n",
        "            var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n",
        "            \n",
-       "            let style = geo_json_1a543296b19a69ff7b8c85ed489aa473_styler(feature)\n",
+       "            let style = geo_json_b0a286a8653be1736ad0b2b3aa522035_styler(feature)\n",
        "            Object.assign(opts, style)\n",
        "            \n",
        "            return new L.CircleMarker(latlng, opts)\n",
        "        }\n",
        "\n",
-       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_onEachFeature(feature, layer) {\n",
+       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_onEachFeature(feature, layer) {\n",
        "            layer.on({\n",
        "                mouseout: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                            geo_json_1a543296b19a69ff7b8c85ed489aa473.resetStyle(e.target);\n",
+       "                            geo_json_b0a286a8653be1736ad0b2b3aa522035.resetStyle(e.target);\n",
        "                    }\n",
        "                },\n",
        "                mouseover: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                        const highlightStyle = geo_json_1a543296b19a69ff7b8c85ed489aa473_highlighter(e.target.feature)\n",
+       "                        const highlightStyle = geo_json_b0a286a8653be1736ad0b2b3aa522035_highlighter(e.target.feature)\n",
        "                        e.target.setStyle(highlightStyle);\n",
        "                    }\n",
        "                },\n",
        "            });\n",
        "        };\n",
-       "        var geo_json_1a543296b19a69ff7b8c85ed489aa473 = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_1a543296b19a69ff7b8c85ed489aa473_onEachFeature,\n",
+       "        var geo_json_b0a286a8653be1736ad0b2b3aa522035 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_b0a286a8653be1736ad0b2b3aa522035_onEachFeature,\n",
        "            \n",
-       "                style: geo_json_1a543296b19a69ff7b8c85ed489aa473_styler,\n",
-       "                pointToLayer: geo_json_1a543296b19a69ff7b8c85ed489aa473_pointToLayer,\n",
+       "                style: geo_json_b0a286a8653be1736ad0b2b3aa522035_styler,\n",
+       "                pointToLayer: geo_json_b0a286a8653be1736ad0b2b3aa522035_pointToLayer,\n",
        "        });\n",
        "\n",
-       "        function geo_json_1a543296b19a69ff7b8c85ed489aa473_add (data) {\n",
-       "            geo_json_1a543296b19a69ff7b8c85ed489aa473\n",
+       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_add (data) {\n",
+       "            geo_json_b0a286a8653be1736ad0b2b3aa522035\n",
        "                .addData(data);\n",
        "        }\n",
-       "            geo_json_1a543296b19a69ff7b8c85ed489aa473_add({"bbox": [-16.38755103466753, 13.185409602758718, -13.87272702640249, 13.664382136929033], "features": [{"bbox": [-16.38755103466753, 13.185409602758718, -16.38755103466753, 13.185409602758718], "geometry": {"coordinates": [-16.38755103466753, 13.185409602758718], "type": "Point"}, "id": "0", "properties": {"__folium_color": "#1f9f88", "positive": 17, "prev": 0.52, "total": 33}, "type": "Feature"}, {"bbox": [-16.305430234499706, 13.204437271999842, -16.305430234499706, 13.204437271999842], "geometry": {"coordinates": [-16.305430234499706, 13.204437271999842], "type": "Point"}, "id": "1", "properties": {"__folium_color": "#32658e", "positive": 19, "prev": 0.3, "total": 63}, "type": "Feature"}, {"bbox": [-16.289140839656273, 13.2037423480732, -16.289140839656273, 13.2037423480732], "geometry": {"coordinates": [-16.289140839656273, 13.2037423480732], "type": "Point"}, "id": "2", "properties": {"__folium_color": "#26828e", "positive": 7, "prev": 0.41, "total": 17}, "type": "Feature"}, {"bbox": [-16.258690817948374, 13.537424833752462, -16.258690817948374, 13.537424833752462], "geometry": {"coordinates": [-16.258690817948374, 13.537424833752462], "type": "Point"}, "id": "3", "properties": {"__folium_color": "#2e6d8e", "positive": 8, "prev": 0.33, "total": 24}, "type": "Feature"}, {"bbox": [-16.232936845491317, 13.206026267030222, -16.232936845491317, 13.206026267030222], "geometry": {"coordinates": [-16.232936845491317, 13.206026267030222], "type": "Point"}, "id": "4", "properties": {"__folium_color": "#297a8e", "positive": 10, "prev": 0.38, "total": 26}, "type": "Feature"}, {"bbox": [-16.230413470612547, 13.230936455110243, -16.230413470612547, 13.230936455110243], "geometry": {"coordinates": [-16.230413470612547, 13.230936455110243], "type": "Point"}, "id": "5", "properties": {"__folium_color": "#287d8e", "positive": 7, "prev": 0.39, "total": 18}, "type": "Feature"}, {"bbox": [-16.214312387056786, 13.2090173879772, -16.214312387056786, 13.2090173879772], "geometry": {"coordinates": [-16.214312387056786, 13.2090173879772], "type": "Point"}, "id": "6", "properties": {"__folium_color": "#3aba76", "positive": 24, "prev": 0.63, "total": 38}, "type": "Feature"}, {"bbox": [-16.196039752086218, 13.206680516633568, -16.196039752086218, 13.206680516633568], "geometry": {"coordinates": [-16.196039752086218, 13.206680516633568], "type": "Point"}, "id": "7", "properties": {"__folium_color": "#472e7c", "positive": 7, "prev": 0.12, "total": 56}, "type": "Feature"}, {"bbox": [-16.195685574387834, 13.561872253697977, -16.195685574387834, 13.561872253697977], "geometry": {"coordinates": [-16.195685574387834, 13.561872253697977], "type": "Point"}, "id": "8", "properties": {"__folium_color": "#472a7a", "positive": 6, "prev": 0.11, "total": 57}, "type": "Feature"}, {"bbox": [-16.160881527382056, 13.578336767380913, -16.160881527382056, 13.578336767380913], "geometry": {"coordinates": [-16.160881527382056, 13.578336767380913], "type": "Point"}, "id": "9", "properties": {"__folium_color": "#31688e", "positive": 8, "prev": 0.31, "total": 26}, "type": "Feature"}, {"bbox": [-16.136420958699553, 13.5296475443355, -16.136420958699553, 13.5296475443355], "geometry": {"coordinates": [-16.136420958699553, 13.5296475443355], "type": "Point"}, "id": "10", "properties": {"__folium_color": "#404588", "positive": 6, "prev": 0.19, "total": 31}, "type": "Feature"}, {"bbox": [-16.12385873694554, 13.199566919433131, -16.12385873694554, 13.199566919433131], "geometry": {"coordinates": [-16.12385873694554, 13.199566919433131], "type": "Point"}, "id": "11", "properties": {"__folium_color": "#297a8e", "positive": 12, "prev": 0.38, "total": 32}, "type": "Feature"}, {"bbox": [-16.11743240362023, 13.566158379176006, -16.11743240362023, 13.566158379176006], "geometry": {"coordinates": [-16.11743240362023, 13.566158379176006], "type": "Point"}, "id": "12", "properties": {"__folium_color": "#238a8d", "positive": 14, "prev": 0.44, "total": 32}, "type": "Feature"}, {"bbox": [-16.109714101247185, 13.201219834807864, -16.109714101247185, 13.201219834807864], "geometry": {"coordinates": [-16.109714101247185, 13.201219834807864], "type": "Point"}, "id": "13", "properties": {"__folium_color": "#39568c", "positive": 5, "prev": 0.25, "total": 20}, "type": "Feature"}, {"bbox": [-16.092370769817812, 13.49080516225072, -16.092370769817812, 13.49080516225072], "geometry": {"coordinates": [-16.092370769817812, 13.49080516225072], "type": "Point"}, "id": "14", "properties": {"__folium_color": "#482374", "positive": 5, "prev": 0.09, "total": 53}, "type": "Feature"}, {"bbox": [-16.08692886664654, 13.231722793283609, -16.08692886664654, 13.231722793283609], "geometry": {"coordinates": [-16.08692886664654, 13.231722793283609], "type": "Point"}, "id": "15", "properties": {"__folium_color": "#463480", "positive": 4, "prev": 0.14, "total": 29}, "type": "Feature"}, {"bbox": [-16.07991433154176, 13.575029852592337, -16.07991433154176, 13.575029852592337], "geometry": {"coordinates": [-16.07991433154176, 13.575029852592337], "type": "Point"}, "id": "16", "properties": {"__folium_color": "#365d8d", "positive": 8, "prev": 0.27, "total": 30}, "type": "Feature"}, {"bbox": [-16.04584649942598, 13.57768836934283, -16.04584649942598, 13.57768836934283], "geometry": {"coordinates": [-16.04584649942598, 13.57768836934283], "type": "Point"}, "id": "17", "properties": {"__folium_color": "#65cb5e", "positive": 15, "prev": 0.71, "total": 21}, "type": "Feature"}, {"bbox": [-16.041688109015585, 13.228159158324258, -16.041688109015585, 13.228159158324258], "geometry": {"coordinates": [-16.041688109015585, 13.228159158324258], "type": "Point"}, "id": "18", "properties": {"__folium_color": "#3e4a89", "positive": 6, "prev": 0.21, "total": 28}, "type": "Feature"}, {"bbox": [-16.01773510686725, 13.26174450040079, -16.01773510686725, 13.26174450040079], "geometry": {"coordinates": [-16.01773510686725, 13.26174450040079], "type": "Point"}, "id": "19", "properties": {"__folium_color": "#27808e", "positive": 12, "prev": 0.4, "total": 30}, "type": "Feature"}, {"bbox": [-16.011582883970082, 13.235730119861245, -16.011582883970082, 13.235730119861245], "geometry": {"coordinates": [-16.011582883970082, 13.235730119861245], "type": "Point"}, "id": "20", "properties": {"__folium_color": "#1f998a", "positive": 15, "prev": 0.5, "total": 30}, "type": "Feature"}, {"bbox": [-15.998793450442683, 13.564509442593796, -15.998793450442683, 13.564509442593796], "geometry": {"coordinates": [-15.998793450442683, 13.564509442593796], "type": "Point"}, "id": "21", "properties": {"__folium_color": "#2a778e", "positive": 10, "prev": 0.37, "total": 27}, "type": "Feature"}, {"bbox": [-15.98565368269467, 13.544562690998003, -15.98565368269467, 13.544562690998003], "geometry": {"coordinates": [-15.98565368269467, 13.544562690998003], "type": "Point"}, "id": "22", "properties": {"__folium_color": "#2e6d8e", "positive": 10, "prev": 0.33, "total": 30}, "type": "Feature"}, {"bbox": [-15.966131928062666, 13.483927230047705, -15.966131928062666, 13.483927230047705], "geometry": {"coordinates": [-15.966131928062666, 13.483927230047705], "type": "Point"}, "id": "23", "properties": {"__folium_color": "#470d60", "positive": 1, "prev": 0.03, "total": 34}, "type": "Feature"}, {"bbox": [-15.951350655996068, 13.583645058551195, -15.951350655996068, 13.583645058551195], "geometry": {"coordinates": [-15.951350655996068, 13.583645058551195], "type": "Point"}, "id": "24", "properties": {"__folium_color": "#42be71", "positive": 13, "prev": 0.65, "total": 20}, "type": "Feature"}, {"bbox": [-15.121762326665, 13.595331426329862, -15.121762326665, 13.595331426329862], "geometry": {"coordinates": [-15.121762326665, 13.595331426329862], "type": "Point"}, "id": "25", "properties": {"__folium_color": "#3e4a89", "positive": 6, "prev": 0.21, "total": 29}, "type": "Feature"}, {"bbox": [-15.108130512654325, 13.64513345051705, -15.108130512654325, 13.64513345051705], "geometry": {"coordinates": [-15.108130512654325, 13.64513345051705], "type": "Point"}, "id": "26", "properties": {"__folium_color": "#297a8e", "positive": 11, "prev": 0.38, "total": 29}, "type": "Feature"}, {"bbox": [-15.061890592657738, 13.664382136929033, -15.061890592657738, 13.664382136929033], "geometry": {"coordinates": [-15.061890592657738, 13.664382136929033], "type": "Point"}, "id": "27", "properties": {"__folium_color": "#48186a", "positive": 2, "prev": 0.06, "total": 32}, "type": "Feature"}, {"bbox": [-15.061617170653163, 13.608410616539066, -15.061617170653163, 13.608410616539066], "geometry": {"coordinates": [-15.061617170653163, 13.608410616539066], "type": "Point"}, "id": "28", "properties": {"__folium_color": "#440154", "positive": 0, "prev": 0.0, "total": 25}, "type": "Feature"}, {"bbox": [-15.033438307811064, 13.599165736498565, -15.033438307811064, 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"Point"}, "id": "32", "properties": {"__folium_color": "#433e85", "positive": 6, "prev": 0.17, "total": 35}, "type": "Feature"}, {"bbox": [-14.929932830459046, 13.537408206984505, -14.929932830459046, 13.537408206984505], "geometry": {"coordinates": [-14.929932830459046, 13.537408206984505], "type": "Point"}, "id": "33", "properties": {"__folium_color": "#482677", "positive": 3, "prev": 0.1, "total": 31}, "type": "Feature"}, {"bbox": [-14.864229594496479, 13.469048228312062, -14.864229594496479, 13.469048228312062], "geometry": {"coordinates": [-14.864229594496479, 13.469048228312062], "type": "Point"}, "id": "34", "properties": {"__folium_color": "#2b758e", "positive": 12, "prev": 0.36, "total": 33}, "type": "Feature"}, {"bbox": [-14.854894741359688, 13.49588070654694, -14.854894741359688, 13.49588070654694], "geometry": {"coordinates": [-14.854894741359688, 13.49588070654694], "type": "Point"}, "id": "35", "properties": {"__folium_color": "#472a7a", "positive": 3, "prev": 0.11, 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[-13.971679680259129, 13.56534792956765, -13.971679680259129, 13.56534792956765], "geometry": {"coordinates": [-13.971679680259129, 13.56534792956765], "type": "Point"}, "id": "59", "properties": {"__folium_color": "#93d741", "positive": 29, "prev": 0.78, "total": 37}, "type": "Feature"}, {"bbox": [-13.951729640198272, 13.329989930003077, -13.951729640198272, 13.329989930003077], "geometry": {"coordinates": [-13.951729640198272, 13.329989930003077], "type": "Point"}, "id": "60", "properties": {"__folium_color": "#65cb5e", "positive": 20, "prev": 0.71, "total": 28}, "type": "Feature"}, {"bbox": [-13.940887634640678, 13.410835334322869, -13.940887634640678, 13.410835334322869], "geometry": {"coordinates": [-13.940887634640678, 13.410835334322869], "type": "Point"}, "id": "61", "properties": {"__folium_color": "#39568c", "positive": 15, "prev": 0.25, "total": 60}, "type": "Feature"}, {"bbox": [-13.940697649324147, 13.334030688099153, -13.940697649324147, 13.334030688099153], "geometry": {"coordinates": [-13.940697649324147, 13.334030688099153], "type": "Point"}, "id": "62", "properties": {"__folium_color": "#25848e", "positive": 13, "prev": 0.42, "total": 31}, "type": "Feature"}, {"bbox": [-13.890606975512293, 13.544586711845753, -13.890606975512293, 13.544586711845753], "geometry": {"coordinates": [-13.890606975512293, 13.544586711845753], "type": "Point"}, "id": "63", "properties": {"__folium_color": "#f8e621", "positive": 12, "prev": 0.92, "total": 13}, "type": "Feature"}, {"bbox": [-13.87272702640249, 13.330944101097009, -13.87272702640249, 13.330944101097009], "geometry": {"coordinates": [-13.87272702640249, 13.330944101097009], "type": "Point"}, "id": "64", "properties": {"__folium_color": "#1f948c", "positive": 15, "prev": 0.48, "total": 31}, "type": "Feature"}], "type": "FeatureCollection"});\n",
        "\n",
        "        \n",
        "    \n",
-       "    geo_json_1a543296b19a69ff7b8c85ed489aa473.bindTooltip(\n",
+       "    geo_json_b0a286a8653be1736ad0b2b3aa522035.bindTooltip(\n",
        "    function(layer){\n",
        "    let div = L.DomUtil.create('div');\n",
        "    \n",
@@ -960,45 +960,45 @@
        "    ,{"className": "foliumtooltip", "sticky": true});\n",
        "                     \n",
        "    \n",
-       "            geo_json_1a543296b19a69ff7b8c85ed489aa473.addTo(map_7d303d30abb027049a0081a0ea522221);\n",
+       "            geo_json_b0a286a8653be1736ad0b2b3aa522035.addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
        "        \n",
        "    \n",
-       "    var color_map_a3122944643bfe386afef9873d7ee8ec = {};\n",
+       "    var color_map_fc2fd94627be0cd4e6737b891a374a53 = {};\n",
        "\n",
        "    \n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.color = d3.scale.threshold()\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.color = d3.scale.threshold()\n",
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0.5386172344689379, 0.5404809619238476, 0.5423446893787575, 0.5442084168336674, 0.5460721442885772, 0.547935871743487, 0.5497995991983968, 0.5516633266533066, 0.5535270541082165, 0.5553907815631263, 0.5572545090180361, 0.5591182364729459, 0.5609819639278557, 0.5628456913827655, 0.5647094188376753, 0.5665731462925853, 0.5684368737474951, 0.5703006012024049, 0.5721643286573146, 0.5740280561122244, 0.5758917835671343, 0.5777555110220441, 0.579619238476954, 0.5814829659318638, 0.5833466933867736, 0.5852104208416834, 0.5870741482965932, 0.588937875751503, 0.5908016032064128, 0.5926653306613227, 0.5945290581162325, 0.5963927855711423, 0.5982565130260522, 0.600120240480962, 0.6019839679358718, 0.6038476953907815, 0.6057114228456913, 0.6075751503006012, 0.6094388777555111, 0.6113026052104209, 0.6131663326653307, 0.6150300601202405, 0.6168937875751503, 0.6187575150300602, 0.62062124248497, 0.6224849699398798, 0.6243486973947896, 0.6262124248496994, 0.6280761523046092, 0.6299398797595192, 0.631803607214429, 0.6336673346693387, 0.6355310621242485, 0.6373947895791583, 0.6392585170340681, 0.641122244488978, 0.6429859719438878, 0.6448496993987977, 0.6467134268537075, 0.6485771543086173, 0.650440881763527, 0.6523046092184369, 0.6541683366733467, 0.6560320641282565, 0.6578957915831664, 0.6597595190380762, 0.6616232464929861, 0.6634869739478959, 0.6653507014028056, 0.6672144288577154, 0.6690781563126252, 0.670941883767535, 0.672805611222445, 0.6746693386773548, 0.6765330661322646, 0.6783967935871744, 0.6802605210420842, 0.6821242484969939, 0.6839879759519039, 0.6858517034068137, 0.6877154308617235, 0.6895791583166333, 0.6914428857715431, 0.6933066132264529, 0.6951703406813629, 0.6970340681362726, 0.6988977955911824, 0.7007615230460922, 0.702625250501002, 0.7044889779559118, 0.7063527054108217, 0.7082164328657315, 0.7100801603206414, 0.7119438877755511, 0.7138076152304609, 0.7156713426853708, 0.7175350701402806, 0.7193987975951904, 0.7212625250501002, 0.7231262525050101, 0.7249899799599199, 0.7268537074148298, 0.7287174348697395, 0.7305811623246493, 0.7324448897795591, 0.7343086172344689, 0.7361723446893788, 0.7380360721442887, 0.7398997995991985, 0.7417635270541083, 0.743627254509018, 0.7454909819639278, 0.7473547094188376, 0.7492184368737476, 0.7510821643286574, 0.7529458917835672, 0.754809619238477, 0.7566733466933868, 0.7585370741482967, 0.7604008016032064, 0.7622645290581163, 0.7641282565130261, 0.7659919839679359, 0.7678557114228457, 0.7697194388777556, 0.7715831663326654, 0.7734468937875753, 0.775310621242485, 0.7771743486973948, 0.7790380761523046, 0.7809018036072145, 0.7827655310621243, 0.7846292585170341, 0.786492985971944, 0.7883567134268538, 0.7902204408817635, 0.7920841683366734, 0.7939478957915832, 0.795811623246493, 0.7976753507014028, 0.7995390781563126, 0.8014028056112226, 0.8032665330661324, 0.8051302605210422, 0.8069939879759519, 0.8088577154308617, 0.8107214428857715, 0.8125851703406815, 0.8144488977955913, 0.8163126252505011, 0.8181763527054109, 0.8200400801603207, 0.8219038076152304, 0.8237675350701403, 0.8256312625250501, 0.82749498997996, 0.8293587174348698, 0.8312224448897796, 0.8330861723446894, 0.8349498997995993, 0.8368136272545091, 0.8386773547094188, 0.8405410821643287, 0.8424048096192385, 0.8442685370741483, 0.8461322645290582, 0.847995991983968, 0.8498597194388778, 0.8517234468937877, 0.8535871743486974, 0.8554509018036073, 0.8573146292585171, 0.8591783567134269, 0.8610420841683367, 0.8629058116232465, 0.8647695390781563, 0.8666332665330663, 0.868496993987976, 0.8703607214428858, 0.8722244488977956, 0.8740881763527054, 0.8759519038076152, 0.8778156312625252, 0.879679358717435, 0.8815430861723448, 0.8834068136272546, 0.8852705410821643, 0.8871342685370741, 0.888997995991984, 0.8908617234468938, 0.8927254509018037, 0.8945891783567135, 0.8964529058116233, 0.8983166332665332, 0.9001803607214429, 0.9020440881763527, 0.9039078156312625, 0.9057715430861724, 0.9076352705410822, 0.9094989979959921, 0.9113627254509019, 0.9132264529058117, 0.9150901803607215, 0.9169539078156312, 0.918817635270541, 0.920681362725451, 0.9225450901803608, 0.9244088176352706, 0.9262725450901804, 0.9281362725450902, 0.93])\n",
        "              .range(['#440154ff', '#440155ff', '#440256ff', '#440356ff', '#450457ff', '#450458ff', '#450559ff', '#450659ff', '#46075aff', '#46075bff', '#46085cff', '#46095cff', '#460a5dff', '#460a5eff', '#460b5eff', '#460c5fff', '#470d60ff', '#470d61ff', '#470e61ff', '#470f62ff', '#471063ff', '#471064ff', '#471164ff', '#471265ff', '#471365ff', '#481366ff', '#481467ff', '#481568ff', '#481668ff', '#481669ff', '#481769ff', '#48176aff', '#48186bff', '#48196cff', '#481a6cff', '#481a6dff', '#481b6dff', '#481c6eff', '#481c6eff', '#481d6fff', '#481d6fff', '#481f70ff', '#481f70ff', '#482071ff', '#482072ff', '#482173ff', '#482273ff', '#482374ff', '#482374ff', '#482475ff', '#482476ff', '#482576ff', '#482577ff', '#482677ff', '#482778ff', '#482878ff', '#482879ff', '#482979ff', '#47297aff', '#472a7aff', '#472b7aff', '#472c7aff', '#472c7bff', '#472d7bff', '#472d7cff', '#472e7cff', '#472e7dff', '#472f7dff', '#462f7eff', '#46307eff', '#46317eff', '#46327eff', '#46327fff', '#46337fff', '#463480ff', '#453480ff', '#453581ff', '#453581ff', '#453681ff', '#453781ff', '#453882ff', '#443882ff', '#443983ff', '#443983ff', '#443a83ff', '#443a83ff', '#443b84ff', '#433c84ff', '#433d84ff', '#433d85ff', '#433e85ff', '#423e85ff', '#423f85ff', '#423f86ff', '#424086ff', '#424086ff', '#424186ff', '#414187ff', '#414287ff', '#414387ff', '#414487ff', '#404488ff', '#404588ff', '#404588ff', '#404688ff', '#3f4688ff', '#3f4788ff', '#3f4789ff', '#3f4889ff', '#3e4889ff', '#3e4989ff', '#3e4a89ff', '#3e4a89ff', '#3e4b8aff', '#3d4c8aff', '#3d4d8aff', '#3d4d8aff', '#3d4e8aff', '#3c4e8aff', '#3c4f8aff', '#3c4f8aff', '#3c508bff', '#3b508bff', '#3b518bff', '#3b518bff', '#3b528bff', '#3a528bff', '#3a538bff', '#3a538bff', '#3a548cff', '#39548cff', '#39558cff', '#39558cff', '#39568cff', '#38578cff', '#38588cff', '#38588cff', '#38598cff', '#37598cff', '#375a8cff', '#375a8dff', '#375b8dff', '#365b8dff', '#365c8dff', '#365c8dff', '#365d8dff', '#355d8dff', '#355e8dff', '#355f8dff', '#355f8dff', '#34608dff', '#34608dff', '#34618dff', '#34618dff', '#33628dff', '#33628dff', '#33638dff', '#32638dff', '#32648eff', '#32648eff', '#32658eff', '#31658eff', '#31668eff', '#31668eff', '#31678eff', '#31678eff', '#31688eff', '#30688eff', '#30698eff', '#30698eff', '#306a8eff', '#2f6a8eff', '#2f6b8eff', '#2f6b8eff', '#2f6c8eff', '#2e6c8eff', '#2e6d8eff', '#2e6d8eff', '#2e6e8eff', '#2e6e8eff', '#2e6f8eff', '#2d6f8eff', '#2d708eff', '#2d708eff', '#2d718eff', '#2c718eff', '#2c718eff', '#2c728eff', '#2c728eff', '#2c738eff', '#2c738eff', '#2b748eff', '#2b748eff', '#2b758eff', '#2b758eff', '#2a768eff', '#2a768eff', '#2a778eff', '#2a778eff', '#2a788eff', '#29788eff', '#29798eff', '#29798eff', '#297a8eff', '#297a8eff', '#297b8eff', '#287b8eff', '#287c8eff', '#287c8eff', '#287d8eff', '#277d8eff', '#277e8eff', '#277e8eff', '#277f8eff', '#277f8eff', '#27808eff', '#26808eff', '#26818eff', '#26818eff', '#26828eff', '#26828eff', '#26828eff', '#25828eff', '#25838eff', '#25838eff', '#25848eff', '#25858eff', '#25858eff', '#24868eff', '#24868eff', '#24878eff', '#24878eff', '#23888eff', '#23888eff', '#23898eff', '#23898eff', '#238a8dff', '#238a8dff', '#228b8dff', '#228b8dff', '#228c8dff', '#228c8dff', '#228d8dff', '#218d8dff', '#218e8dff', '#218e8dff', '#218f8dff', '#218f8dff', '#21908dff', '#21908dff', '#21918cff', '#20918cff', '#20928cff', '#20928cff', '#20928cff', '#20928cff', '#20938cff', '#1f938cff', '#1f948cff', '#1f948cff', '#1f958bff', '#1f958bff', '#1f968bff', '#1f968bff', '#1f978bff', '#1f988bff', '#1f988bff', '#1f998bff', '#1f998aff', '#1f9a8aff', '#1f9a8aff', '#1e9b8aff', '#1e9b8aff', '#1e9c8aff', '#1e9c89ff', '#1e9d89ff', '#1e9d89ff', '#1e9e89ff', '#1f9e89ff', '#1f9f88ff', '#1f9f88ff', '#1fa088ff', '#1fa088ff', '#1fa188ff', '#1fa188ff', '#1fa187ff', '#1fa187ff', '#1fa287ff', '#1fa287ff', '#1fa386ff', '#20a386ff', '#20a486ff', '#20a486ff', '#20a585ff', '#21a585ff', '#21a685ff', '#21a685ff', '#21a785ff', '#22a785ff', '#22a884ff', '#22a884ff', '#22a983ff', '#23a983ff', '#23aa83ff', '#24ab83ff', '#25ab82ff', '#25ac82ff', '#25ac82ff', '#25ad82ff', '#26ad81ff', '#26ad81ff', '#27ad81ff', '#27ae81ff', '#28ae80ff', '#28af80ff', '#29af7fff', '#29b07fff', '#2ab07fff', '#2bb17eff', '#2cb17eff', '#2cb27dff', '#2db27dff', '#2db37cff', '#2eb37cff', '#2eb47cff', '#2fb47cff', '#30b57bff', '#31b57bff', '#31b67aff', '#32b67aff', '#33b679ff', '#34b679ff', '#34b779ff', '#35b779ff', '#36b878ff', '#37b878ff', '#37b977ff', '#38b977ff', '#39ba76ff', '#3aba76ff', '#3abb75ff', '#3bbb75ff', '#3cbc74ff', '#3dbc74ff', '#3ebc73ff', '#3fbd73ff', '#40bd72ff', '#40be72ff', '#41be71ff', '#42bf71ff', '#43bf70ff', '#45c070ff', '#46c06fff', '#47c16fff', '#48c16eff', '#49c16eff', '#4ac16dff', '#4bc26cff', '#4cc26cff', '#4dc36bff', '#4ec36bff', '#4fc46aff', '#50c46aff', '#51c569ff', '#52c569ff', '#53c568ff', '#54c568ff', '#55c667ff', '#56c667ff', '#57c766ff', '#58c765ff', '#59c864ff', '#5ac864ff', '#5bc863ff', '#5cc863ff', '#5dc962ff', '#5ec962ff', '#5fca61ff', '#60ca60ff', '#62cb5fff', '#63cb5fff', '#64cb5eff', '#65cc5dff', '#66cc5cff', '#67cd5cff', '#68cd5bff', '#6acd5bff', '#6bcd5aff', '#6cce59ff', '#6ece58ff', '#6fcf58ff', '#70cf57ff', '#71d057ff', '#72d056ff', '#74d055ff', '#75d054ff', '#76d153ff', '#77d153ff', '#78d152ff', '#7ad151ff', '#7bd250ff', '#7cd250ff', '#7dd34fff', '#7fd34eff', '#80d34dff', '#81d34dff', '#82d44cff', '#84d44bff', '#85d54aff', '#86d549ff', '#88d548ff', '#89d548ff', '#8ad647ff', '#8bd646ff', '#8dd645ff', '#8ed645ff', '#8fd744ff', '#90d743ff', '#92d742ff', '#93d741ff', '#94d840ff', '#96d83fff', '#97d83eff', '#99d93dff', '#9ad93cff', '#9bd93cff', '#9dd93bff', '#9eda3aff', '#9fda39ff', '#a1da38ff', '#a2da37ff', '#a3db36ff', '#a4db36ff', '#a6db35ff', '#a8db34ff', '#a9dc33ff', '#aadc32ff', '#abdc31ff', '#addc30ff', '#aedd2fff', '#b0dd2fff', '#b1dd2eff', '#b2dd2dff', '#b3de2cff', '#b5de2bff', '#b6de2aff', '#b8de29ff', '#b9de28ff', '#bade28ff', '#bcdf27ff', '#bddf26ff', '#bfdf25ff', '#c0df25ff', '#c1df24ff', '#c2df23ff', '#c4e022ff', '#c5e021ff', '#c7e020ff', '#c8e020ff', '#c9e11fff', '#cbe11eff', '#cce11dff', '#cee11dff', '#cfe11cff', '#d1e11bff', '#d2e21bff', '#d3e21aff', '#d4e21aff', '#d6e219ff', '#d7e219ff', '#d9e319ff', '#dae319ff', '#dbe318ff', '#dde318ff', '#dee318ff', '#dfe318ff', '#e0e418ff', '#e2e418ff', '#e3e418ff', '#e5e418ff', '#e6e419ff', '#e7e419ff', '#e8e519ff', '#eae519ff', '#ebe51aff', '#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n",
        "    \n",
        "\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.x = d3.scale.linear()\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.x = d3.scale.linear()\n",
        "              .domain([0.0, 0.93])\n",
        "              .range([0, 450 - 50]);\n",
        "\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.legend = L.control({position: 'topright'});\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.legend.addTo(map_7d303d30abb027049a0081a0ea522221);\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.legend = L.control({position: 'topright'});\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.legend.addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
        "\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.xAxis = d3.svg.axis()\n",
-       "        .scale(color_map_a3122944643bfe386afef9873d7ee8ec.x)\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.xAxis = d3.svg.axis()\n",
+       "        .scale(color_map_fc2fd94627be0cd4e6737b891a374a53.x)\n",
        "        .orient("top")\n",
        "        .tickSize(1)\n",
        "        .tickValues([0.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.09482352941176471, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.18964705882352942, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.28447058823529414, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.37929411764705884, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.47411764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.5689411764705883, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.663764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.7585882352941177, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.8534117647058824, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);\n",
        "\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.svg = d3.select(".legend.leaflet-control").append("svg")\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.svg = d3.select(".legend.leaflet-control").append("svg")\n",
        "        .attr("id", 'legend')\n",
        "        .attr("width", 450)\n",
        "        .attr("height", 40);\n",
        "\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.g = color_map_a3122944643bfe386afef9873d7ee8ec.svg.append("g")\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.g = color_map_fc2fd94627be0cd4e6737b891a374a53.svg.append("g")\n",
        "        .attr("class", "key")\n",
        "        .attr("transform", "translate(25,16)");\n",
        "\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.g.selectAll("rect")\n",
-       "        .data(color_map_a3122944643bfe386afef9873d7ee8ec.color.range().map(function(d, i) {\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.g.selectAll("rect")\n",
+       "        .data(color_map_fc2fd94627be0cd4e6737b891a374a53.color.range().map(function(d, i) {\n",
        "          return {\n",
-       "            x0: i ? color_map_a3122944643bfe386afef9873d7ee8ec.x(color_map_a3122944643bfe386afef9873d7ee8ec.color.domain()[i - 1]) : color_map_a3122944643bfe386afef9873d7ee8ec.x.range()[0],\n",
-       "            x1: i < color_map_a3122944643bfe386afef9873d7ee8ec.color.domain().length ? color_map_a3122944643bfe386afef9873d7ee8ec.x(color_map_a3122944643bfe386afef9873d7ee8ec.color.domain()[i]) : color_map_a3122944643bfe386afef9873d7ee8ec.x.range()[1],\n",
+       "            x0: i ? color_map_fc2fd94627be0cd4e6737b891a374a53.x(color_map_fc2fd94627be0cd4e6737b891a374a53.color.domain()[i - 1]) : color_map_fc2fd94627be0cd4e6737b891a374a53.x.range()[0],\n",
+       "            x1: i < color_map_fc2fd94627be0cd4e6737b891a374a53.color.domain().length ? color_map_fc2fd94627be0cd4e6737b891a374a53.x(color_map_fc2fd94627be0cd4e6737b891a374a53.color.domain()[i]) : color_map_fc2fd94627be0cd4e6737b891a374a53.x.range()[1],\n",
        "            z: d\n",
        "          };\n",
        "        }))\n",
@@ -1008,25 +1008,25 @@
        "        .attr("width", function(d) { return d.x1 - d.x0; })\n",
        "        .style("fill", function(d) { return d.z; });\n",
        "\n",
-       "    color_map_a3122944643bfe386afef9873d7ee8ec.g.call(color_map_a3122944643bfe386afef9873d7ee8ec.xAxis).append("text")\n",
+       "    color_map_fc2fd94627be0cd4e6737b891a374a53.g.call(color_map_fc2fd94627be0cd4e6737b891a374a53.xAxis).append("text")\n",
        "        .attr("class", "caption")\n",
        "        .attr("y", 21)\n",
        "        .text("prev");\n",
        "    \n",
-       "            var image_overlay_c84107573874eeacf7746c09c3501cc3 = L.imageOverlay(\n",
+       "            var image_overlay_ff698b2d9d3d6172c73d1e5b1b6a45e9 = L.imageOverlay(\n",
        "                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",\n",
        "                [[12.9, -17.0], [14.0, -13.6]],\n",
        "                {"crossOrigin": false, "opacity": 0.7, "zindex": 1}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            image_overlay_c84107573874eeacf7746c09c3501cc3.addTo(map_7d303d30abb027049a0081a0ea522221);\n",
+       "            image_overlay_ff698b2d9d3d6172c73d1e5b1b6a45e9.addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
        "        \n",
        "</script>\n",
        "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 7,
@@ -1370,10 +1370,10 @@
        "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
        "cluster65 x 2\n",
        "\n",
@@ -1381,8 +1381,8 @@
        "\n",
        "\n",
        "cluster65\n",
-       "\n",
-       "65\n",
+       "\n",
+       "65\n",
        "\n",
        "\n",
        "cluster1600\n",
@@ -1398,7 +1398,7 @@
        "Data\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "s\n",
        "\n",
        "s\n",
@@ -1406,55 +1406,55 @@
        "Deterministic\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "X->s\n",
        "\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
-       "p\n",
-       "\n",
-       "p\n",
-       "~\n",
-       "Deterministic\n",
+       "likelihood\n",
+       "\n",
+       "likelihood\n",
+       "~\n",
+       "Binomial\n",
        "\n",
        "\n",
        "\n",
        "p_logit\n",
-       "\n",
-       "p_logit\n",
-       "~\n",
-       "Deterministic\n",
-       "\n",
-       "\n",
-       "\n",
-       "p_logit->p\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "likelihood\n",
-       "\n",
-       "likelihood\n",
-       "~\n",
-       "Binomial\n",
+       "\n",
+       "p_logit\n",
+       "~\n",
+       "Deterministic\n",
        "\n",
        "\n",
        "\n",
        "p_logit->likelihood\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "p\n",
+       "\n",
+       "p\n",
+       "~\n",
+       "Deterministic\n",
+       "\n",
+       "\n",
+       "\n",
+       "p_logit->p\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "s->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "elevation\n",
        "\n",
        "elevation\n",
@@ -1462,41 +1462,27 @@
        "Data\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "elevation->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "beta_1\n",
-       "\n",
-       "beta_1\n",
-       "~\n",
-       "Normal\n",
+       "\n",
+       "beta_1\n",
+       "~\n",
+       "Normal\n",
        "\n",
        "\n",
-       "\n",
-       "beta_1->p_logit\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "beta_0\n",
-       "\n",
-       "beta_0\n",
-       "~\n",
-       "Normal\n",
-       "\n",
-       "\n",
        "\n",
-       "beta_0->p_logit\n",
-       "\n",
-       "\n",
+       "beta_1->p_logit\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "ls\n",
        "\n",
        "ls\n",
@@ -1504,11 +1490,25 @@
        "Gamma\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "ls->s\n",
        "\n",
        "\n",
        "\n",
+       "\n",
+       "\n",
+       "beta_0\n",
+       "\n",
+       "beta_0\n",
+       "~\n",
+       "Normal\n",
+       "\n",
+       "\n",
+       "\n",
+       "beta_0->p_logit\n",
+       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "s_hsgp_coeffs_\n",
@@ -1518,7 +1518,7 @@
        "Normal\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "s_hsgp_coeffs_->s\n",
        "\n",
        "\n",
@@ -1527,7 +1527,7 @@
        "\n"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 16,
@@ -1547,7 +1547,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "693041b5eae74c83af020fce5b959cb2",
+       "model_id": "b4ee54dadac142949127c32209bd965e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1561,7 +1561,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "df8aaa9076fe4387a35360f36c769051",
+       "model_id": "06b413a83003411aae624e3b60dff36e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1575,7 +1575,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "df7870c9350b497b9e7c1f99d4bde2fb",
+       "model_id": "a21f840e4aa34e27a70bb99778d4de0b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1589,7 +1589,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "05921eb48fc74360997a6b86732eec3f",
+       "model_id": "d099779be82a45bdac3a915a8d283a04",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1604,17 +1604,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2024-08-24 15:11:57.581116: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 1s:\n",
+      "2024-08-26 19:04:54.821286: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 1s:\n",
       "\n",
-      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpom26qox5\" source_line=25}\n",
+      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpy8volfxe\" source_line=25}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
       "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "2024-08-24 15:12:19.757940: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 23.179546s\n",
+      "2024-08-26 19:05:17.352771: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 23.535204s\n",
       "Constant folding an instruction is taking > 1s:\n",
       "\n",
-      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpom26qox5\" source_line=25}\n",
+      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpy8volfxe\" source_line=25}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
@@ -1723,7 +1723,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9b0e88e4c2f3457cb602bae6fff24974",
+       "model_id": "1196cce1f3fc48b68abdff7889a67b35",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1844,7 +1844,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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zLJlqguvZINniUQFw81Ykf9nHDnYOZwGHV7neg+edNRfhq49xWmdl1GV4e3FMhko3BiNEHiaKkstABABOXL/htnvmd5aMO2a2BCAVs7T/Q23hGgDguPQYRhuH2tRpJFxEeSHF+vpnc0vclmxniBwW7XNgiitfmV1qc/PWqhQFIkEBOuaLUInGYISoGKkb4g+VgxkkdzP8rceTX6yJ+uG+svWykyeVUjJLxtnMFqVeVu/BC+qcZy53RPtpqF55VuX42vSCzaZxha0ugEA/+XNGo2VEJDIQGPxCdfho5f98mkQRh87dRUTFIHSMDIZG5XhWSjlfZSMiDESopGMwQlSMqATB4cqYuYOUGiF62VkaFsdsXsnNDlEySwZQvpy6qzoAMO/9721eN48oj5jX89SNCQRWWA6vSxVwQar8UPecsek3LNlvWVH0Py1VmNits12d8wl30WnuXwCAL955CrUqlZdtKz3diNEbTgAAXqhZw+FsJpNJhNlgiWgqBfpxiiyRAgxGiIqAs+RUUZQgShJOJ9yGWcpwODJy4VaS9fhf/zuFYJxy2GZ2ciogn5xakMRUpfWy67RSnURrVU4fR2h+sR7vNTfAnPOdcCxPe4FIRWPV/8EEFU6IjylKOgWAEUvk65zM2UAc8fEi/rkab1fnxj2T9Tg5KwvJqfILy6WbjBCzl1MXRZhM8sumczl1ovxjMEJUyFwlp4qShO4LovLd7k0H5cUlObWpcB7/zRWA5HZDKo9jUg278iT4YY/YKN/32uR6mRH8GgP8uuio0zqjVh9FmUDXq5huiU6A3sFjGiLKP/5rIipESpJTL9xy3/LtQP6SU92RmApIUCNnNMAMFeB0XVTgqqRstdCipiQQKeOtURSIcDl1IuUYjBAVEUfJqWYpw3o8r28DVAuSDw66zf/H5rWjhc1zz7lxlZzqjsTUYNzH317Dra9rZK6CCRqclCKw1vScXf1rUhCWml94qHvm9mQAEFJB/pwoAtduAy2frIxna5d3mkxaq7x8rkhePl7yuSJ5MRAhUo7BCFERcZScmjtAqRakR8PK8mFGIICkXMd/F+ES7t7IxDuaDXjrGfuZLT//edjm9cWPXgDUWgC2bSq954CZmxH14BttFQisfde+Xu4l18f1l19yHbAkk/5ywhKeNQ0PYYBAVEwxGCEqAhlZRqRnGGVHRjKNOY9xFv38D4IdDHkk5TkujKRTR/Qw4i3NZmC//bnueWad1nhvC0wK/rR0f0/+nsdzPdWKS7IEHnlduJGTZMpkUqJHH4MRokK2ZO9F3Ek1ItBLA8gEI4kpOYt8/XYNwLUi7JybXZcqwARla2IcV7DSeQxcr5uy+9xd3EzkiAfRo4zBCFEhSs8w4k6q0Wmdo7FpTs8XBwZoscrUwWmdDOjwg/lZuEpedbfaFR0kjOTCZFKi4o3BCFERmdajLvw0OrvyMckJlhERABFq4Nkm8tev+Ee+vCikwwuTTa+7tc1GDgZQksyWEREVgDn9ayI0wH6lWZMoYt+Z23isUkW8WL8SNGrngQYDEaLijcEIURHxUWtlV+3Mvflug6rABy/JJ3au+EdZAmjeRc4crWAaKcTgKdUZCBAx6cVI2bY+3XwcMVIl7BIbwwgNLszqLtuWkn6N/Hozfr5kOe7+GPDFv+Xrxd5JQvvPLeuuPB4ajCoV7Kfbmkyi9dGMRq1isEH0iGMwQvQQHCVOWs+LIiRIuJeYhG2XLsFPZz8ycj3XJrWbLgOb3JiY6qheGG7jJ90U6IUHj5C2yV87LlegNMU4ENUmuP6TMXyxfL/+jsk5TkwEYm4nytZLSDFAerAVr6PkVCamEpUsDEaICmj3uVu4n+Y8HyTDZMRfl+8BAEZ/o2CZ0CISoUpAGvRIl/QoK6QquiZBKquo3q8xruvsuQvr6IcsCZAA/BGdgKDAdEX3JaJHF4MRogIwmUSXgQgAnL52w2UdT9gnNsDjWUvQSnUSr6n/cFn/mPgYtolN3XZ/V/NtJAA6tYCgwACn9ZiYSlQyMBghekid6zveJl7SJGPNIcvIyIinw1H/MftkzP+sOFuo/XMmSmyAKLGB29rTAuhUTf5cSoplREQDYPVbjRHiZ/9eAHiwaWAywssGom4l+VVrszEQISoZGIwQPSSNynECZe4gpUZVPTrWeUymlm0w4mo1VFf1lCawuuue7/xvMzZetBy/WAOY+6Z8W/H3UqyPZqoGBiC0nL9sPVGUkGbISU6VW7WWiEoWBiNEJVhZJANpd+zKyyEZAJAMH0WrpRIRFSb+FSJyQBQlp+dESUJyZibupKQ7fEyTmG6wHo9YcxELcNHlfR92mfeB6q348MHxfq+RwKfv2NU54gX8JdbF24bhyIJW8T3f+9a+3pErOccZGcC95Ay7OgBwP8sAPJglI0qSw/dXlBy/70RUMjEYIZJx6XYq0rMcr1duEkV8vPUMMgwiFu66AsHBqqNpGVk2r8+5tZfy+ql3WYMRZ55SncEhr2E4IUagm+EjRW2vPe78/O9xQPTCA7LnzCYTsuOPMwkpuJ/BoIOILJj9RZSHKEpOAxEAuJ+WgQyD67Uu0hTsv+JuyfBRXDdd0mOFqZPb7l3Wfk03O1qNgAAfvct6Pno180WISgmOjBA5UTdEfjbHrSQ1snNWV7/RFBUcfLg2nbnL5nVtmTruHi3pY5gC4CUAwOOZi6ASvRzWNUALs8KN7QBgQCP7sjt3LCMiALDg9caoU6Gc7LXpRiMmbToNnUaDehUD4OPtPHJhIEJUejAYIXJCJQiyH4qWAMVSXs5bhwqB8qMRPgDScx3/XsgzWwDb2TQZ8ELsrN4Fbitywmab/n/Uz77e2Rt38PsXfwMAynnrUS7AW7Ytr3QN9BpLAOLofSWi0onBCJED2UuRy31omiTLI5q0DCM2nT2LCr7ya2ak5zlWkij6sAmsBan3lIM6eft/PuGuXZ1r9zJz6hiNSE+XXwwu3ex6kTgiKp0YjBDJ+OfqPaRkmHD5dprsY5rEjAzcz7B8uH64McHu/KNG6XfQae5fdmW501Bnb7mAAN94t/SJiEoPBiNEeZhMIlIyTE7rnLh0xen5wlJFuImawnWndcqob2POg2MdjDDBcc6Iu/l5u75XpUC97O7FRFR6MRghcqJzvWDoNPYJnncNCfjptGU8YdATQWhcR34PlXfWXnJbX5oIF/C9bhq0gvMpOmmQrMFIA+EyjkIm6zSPSg7Kc4+YTO5eGa0jKtvVSTUY8MFPZ+Gt1+PD7vVkdybOjYEIEeXFYITICUdLvatyLXJWpaoWPRrUkb3+HdgGIw+zNPt7741CnFQBKklEFdVtl30HgET4KbrnXw7uufP8FQxedtpyTfkA1KpU3q5OapoBvt6WpFUfrZbBBhHlG4MRIgfMkuMEVinXEiOrf4zHqVPK8iQeLoG1Pdaa2+M19TYMwA6H16eLIoAzAIBLUqiie+6+ECNbfu5qzmqqmSYTMjPtH19lmp0/0iIicoXBCJGMK3fSkGE0Y3P0DWjU9o9pLsSm5tQFcOV80fVttbkjVps7OjwvGjKRvc4IHKwMm9egpdEu66yNikfU2Uy7crPkevE3IiJnuAIrUR4mk4gMo/O8jF+PJBdRb4qPymXLOD0f6K2Gl57/f0NE+ce/HEROdIoMho/ePgdi3vfHkJrrda9a8tf/WIQjJgXVojzwVo96sufSjUYs2nIelSoE4f861YKP1v69MJlF/Bp9A3oN/5wQUcHwrweRExrBQQJrruPHAMwZLJ8A+qOC5FSlCayNJnyHMoIlBEqXvHBo1gDZerlXYHXU3tgVm/HDWctxWBDQpmY12bbS043YFGwZBfJSa+DlZf8nw2QSGYgQ0UPhXxAiB+4kJeLIjRuyowFJuY4v4eFXQ5UkCZLRssNv3mAi21vq3/CO9kcAwC9ic1QZLb+mh2S0zeuYvdU+2TU6NufYYLDMiJGTbjJCfJATkr0ibV4mkTkjRPRwBEmSiv0+3snJyQgMDERSUhICAuTXcyByl/R0IyKnbSuy+0mShJtrxyMr7ozb2w4f9QNUOtcLkbWobj9lFwAkSEh7sINx/+bh8HIxAtK1YYjsSBIRlU5KP7/5V4MojyM3bhTp/SRjVqEEIvqwSAha+d2Ec6td1vWMGz+dCjqZWUW5lfXVMhAhogLhYxoiJ6Z3rY164fab4PVaeKRQ7ld3+Fc45D/WZb01pufwkelVp3UErR6CIGB4G/uRkdjYTGy6bDke070OWobbr6wKAKIkIfpWMrw0GtSrFOB0p10GIkRUUAxGiJyIqKTD41VCXNZzlHSqJDk1d46IoPWGb6j8aq4XblmSV+Ol8lgldkfsnN6K7jn2+efs6uy7FItNl08CAHy0Gvj5yi/hLoqSdXl3jUblNBghIiooBiNExUgKfIDhB2XPdVCYJEtE9KhhMEKljtyMkNzMuU6v2nwSu6ucdNnmw8ymUSNngbWawnVUn/ALRAXpXErv+c9V+6XqL98wKrqWiKgoMBihUmX3uVu4n+b8g/jMzXvW423xAJRtO1Ngfki3Hm/ST0IzcRnS4O229l9adNRtbRERFQZmnFGpYTKJLgMRANh1MK4IelN8NA0L9XQXiKiU48gIlUqd6wdDo5KPxX/bdwwXHmxWGw6g01P2df73V+H1zZ3ahgDDejSxK880mbBsxyWEVKjggV4REdliMEKlkkYlv8w7AOSOUepVBt7vYT8D5n9/KVvCXclsmgajV9i8jp7aCdD7F6gtAHh37WZ8+yDNpVIFoGlV+5GPzEwTfquQZFdOROQJDEaoRBFFxwsKi6IEUZKQmpGFOynpDkdGsnKtpr71OtBMQaLowySw5g076k35XVHOyBc79sqWn871lMlksgQeeWWaTBBhea9EUXL4vonFf4FmIioBGIxQiXHpdirSs8wOz5tEEZ9uPYM0g4gvd12CSpAPRm6l5nntzk4+UBH3sUQ3BwCgQzLk98x17vPtKS7rbDsD6LbYr+4qSRLup1vyZ7IXNSMi8hT+BaISQRQlp4EIACSmZiLNULSbulURbiIQaQCABKkcbqMMAEAnGNFYdQkAkKayHX2Q4L6FxZpHOB9h8fdSu1zmHQB89GoueEZEhYbBCJU4dUP8oRLsPzhv+aqRnSay+t9NEeQtv4Fc05m7bF5XlKmjdLTk/zTf4kW1ZRGzGcZ+WGLu6rT+CTEC6XC9sR0AjOpgn1cCANevp2D9g8GQAe0fQ/OwMLs6oijh9M1kaDVq1Atxvsw7AAYiRFSoGIxQiaMSBNkPT0uAYikv76VHhUAfRe0dlEkUVZpMunnSXPl6WanABcsOlqNX/A3gUwDAG4axiJmjLBl25HPPyNb768p1rD9zHACgV6nh5WX/z1wUJei1lnKVSv79IiIqKgxGqEQxiSJMJlH2w9UkiZAgITXDhH/i41ExyX4DPDmOklMlSYJkzAJgu79Mbp9rzUhTWx7DGIxG2XqSsZH1OBU+ihJmAeBUnPz4zNU7BuuxKMknpzIxlYiKEwYjVGL8c/UeUjJMuHw7TfYxzf3MDCRmWGaWDF11/qHuJUkSbq4dj6w4++TQ3F6yebXswZdzSh8BdfnykMs6F2+lwV+XrLBFIiLP4AqsVCKYTCJSMuynsOYWc8t982IkY5bLQCS/9GGRELR6t7ZZs2J5p+eZmEpExQFHRqjE6VwvGDqN/QwRvVc6Vv11HwAw8fnH8HhEgOz1+d3LpfLwNRC08kmnn2sX4Hn1PwCAT40vY5n5BYftCFo9BEGQTZgFbEdMnqkAjO/3pGy95KwsvP/DWfh6e6NuRX8E+DgOcBiIEFFxwGCEShxHq6vmXuSsWiWt7MqkFrbBiFxyau7cD0Hrhdg5vWVb2jxpMXzVlg98naBF7Ef29fLmpMglzALAqKWb8dMFy3H5skD9MPmwJTk1C77eVwEAKjA5lYiKPwYjVKIYzGZkGkyySZtZppx1SGavOIufws8qalPJ6qqO6izQ5r+tDzfK1zkRk3OclWUJOuQkGw2y5URExRWDESoxDly+jdQsEbdTMqFR2T+muXz9uvX4PIDz14qwc/mgZBO+LbHAteWuE1iJiB4FTGClEiHTYEJqlvPVVQ/EF+3qq4WpWhnX/x8RHKBHgJ97E2KJiAoDR0aoxBnToSYC9PYfwocOxiL3hN7O4fLX/6ZgxESDnJk7R/RvwVeXk5fRwfAJrkuO0lBde/Mp+fL4eMuICABM7VUXTUKDnbbDQISIHhUMRqjE8VJrZFcdzV0SCWDRMGUrncolsHYZ8wmuPDj2FgzwzrWuyb5xbYByEQCAPu+ewXZzUwBAtFRNtq2893u/h3y//rkajy0PZvr46jUMNoioxGAwQlQAPoJ88mheB6W6ABc7JSJyisEIlSgpKSmISUxEQIb9qEFaruPTUDazBQ7qNct1fEMqiyFZE62vr35yAkacVtxWXmdv3JEtv3aPs2SIqGRiMEIlxsm4JABArwX/ZO+HZ8P5+qwFZ5Q0uIjKbmvv+S/+dltbRESPAs6moRIhJjHR010oUnUqVPB0F4iI3IYjI1TiLH61MWpUtN+Rt81nUR7oTf7UATB3ZHPZc6kGA6b+fA5+Xt5F2ykiokLGYIRKnIqBGlQLKuOyntzMFkDZbJo+Y4+4ra2+0zfj7wcJLYG+QJ0Q+VGP1DQD/LxiZc8RET3KGIzQI0FueXeb81LO+T9On8b5u3ddtvkwCaxlxDDr8YemVxGlsK33vrWvdzZXZq3ZDBgMZrs6AGAQ5cuJiB51DEao2Lt0OxXpWc4/iE8nJFuP5+1MB6yrgBSOewi0Hv8pNlScfLX2uPPz5zOBxXsvy54ziiVnBVkiotyYwErFmihKLgMRAIg+e6EIelP4nqkf6LKOj04NndZ+7x0iokcVR0bokVE3xB8qQWbOLoDywT5AdDoAoGukFs82sp9qO/bbwh0tUWJAI/uyc+eAfzItx+0aVECXutVlrzUYzVBBglpmE0AiokcZgxF6ZKgEASqVfDAi5ApSqofo8FKjSLs6eYMRZ0mnAUiFPzIAAFET2tnVeWrab8i9hY3SBNaP+tnX23TqHP5ZcxEAoFEL0OkcBxsMRIioJGIwQo+EDIMR6RlGhyMjJlPOo5yNO9KQmOg6odRRAusb6s14T/MNVMKDpNi59nV2eEnwe3A8SbMa1SZ4ubwfAOy9eNWu7EpspvXYJIowmeRzQ0zMGSGiEorBCBV7S/ZexJ1UIwK9NICDYCT6dM4H+lUAKw8X/H591btzAhEFnlCdd13pgX/975TT88cuJ0Mw3ZA9l3vGEBFRScIEVirW0jOMuJNqdFnvmhs/p6eYBmG44W3F9ZebOrnt3jUqBLms4++tgUbDf7pEVHJwZIQeGdN61IWfRid77kx0AnI/ABn4hH0dpaMlB8R6ACT8mvmUwzqiIRPAywCAn8XWiqP6VW/Wtyu7k56Ocd9cRlkfLTrWq4gK/j7y9xQlRCckQ6NiIEJEJQuDEXpk+Ki18PHRyp7LXVoDwNSX7RNFVx52vRoqkJ1LIjitV2X0hny0leOZGlXt6txJSkd5vzgAgEalcjjqIYoSAxEiKpEYjNAjwWDIwp30dGSa5PfeNeQ6vghlq6s+zAqsefWfoaytxJRM+zKDQaYmEVHpwWCEir2jsfdgEiW8tPhvqAT5qa23irhPee1Pdl0HAF5a8rddmchZMkRUyjEYoWLtTno6TC72pXG3GZqvESwkAgDmmF5GtFStSO4b4K1BGV9lU4SJiEoSBiP0yPh64BMID5RP7mw6c5fb7tNCdRoRqpsAgOXm5wEFsVDLAPny3CMmbzYXMLx9c7s6JlHE1uib8PWST84lIirpGIzQI6OstwYVHAQjeckllObN/XCUdHpl8iiX9fImsH4zUb6tT7Zsx8K9lpwQnV6LMv72Ix8mk8hAhIhKNabmExERkUdxZIQ8SnSRDyI+eEZiEoG9V68iNilJUbsPM5tmlw6QJAnpRsBkMNiNggCAZLSdFbPqn+OybZ27ljNTxmw2w2Cw34HYJIrW1VVFUXL4nnAFViIqqRiMkMdcup2K9Cz7D+fcriWmIHurlsk/XAdwvdD7JUkSWq9Ix/5rZgBTFF1j6Ztz+y+Y4et92WkdLmpGRKUR/+qRR4ii5DIQAYDoq/YbyxW2DKP0IBBxTR8WCUGrV1S3QXhFp+f9vTWKAhEfvdrh7sVERI8ijoyQx9UN8Xe4G+/RhAAAlikpQ1uG4KnI8rL1XG1ABwDlkYSvdZ+hgXAF00yvYbW5o835KZqVeFX9BwzGnIXVeo94DwfVTRy2KWj1EAQB016qLHs+7sYNfBVlCWy6Nw1Dk7Bgh20p3W+GgQgRlTQMRsjjVILg8AM2d5ASGqaRXU7dwjYYkZsB8957o/C46iIAoKKQaF9ny27goNlmNVdJ44PYz3rbtZU33+RfTRvJ9upIbEV8FXUEAKBVC9Dp5BdtIyIqzRiMkEeJkuOETcv5nOPtO6/h5p07itqVS059U51lPX5bs9GuzgeaGAzK8y/ilFRVUTLsxZv3ZMvj73OpdyIiVxiMkMdcv5+OTKMlO9XRY5q7t9Ksx3vuAnt2Zbjl3lHmenZlX5p6YoW5E8yGLADDAQAZ8FKUWNXx8wOy5VzonYjINQYj5BGiKFkDEWd2/Ck/4vCwkmG/eNpdBOKuFAhRst/Mzh1qlCtXKO0SET3qGIyQx9Wt5A+NWn78oXw5AHctxyEAXmrrLVvvSzeNmBREVQBLR7WQPZeclYVx352Cj5d8v4mIiMEIFQPOElhzP72pXQEY06mdbL0vd7le6v3D95QtB593kTO5el0mbLamzPoDqBEsP+qRnJrFQISIyAUGI+RRaUYDUjMMDtfXMBlzjnffAeooSCYFHCWw5qysmmk2y66sCtivrvret/Ztnc91bACQmiafqJpqYgIrEZErDEbIY1b/HYPkdBN+PXYDgiAfjBzIs/r7w2RzSJKE1suzV1bd/eDLtbXyK71bnQfw77VHHN1UeQeJiEoprsBKHpGaYUByusl1RTcyGk2KV1YFlK+uWsXfdVsVfLXw8+HOvEREcjgyQh43++UGKKOX/9CvP327zWsvB23kd8Tkm1FP4/8w0mmd7NVVB8isZ3boeM6jmr6ty2Ng08dl2xAlCadvJsNXz0CEiMgRBiPkcX5aLfx8lX1Yn3WQdJo3R0Qu6XTkuJzAJlEThNhP7FdWlWvro372bS2peggzNt0CAGi1aof9F0WJgQgRkQsMRsijEpNS8U98PMp4ORrzsKVkNVRH9UTz0wC+AADMNPXHxwrb2njyrF3Z1dicxFTJySqyInNGiIhcYjBCHnPxdioA4M3lZzzcE+feWXvJ6fn797IQHZ9cRL0hIip5mMBKHvFPfLynu+A2TatXd1nHR6/mbrtERA5wZIQ87v3na6BxhPyUlJcWHS3i3tibO+Axu7KbycmY+ctteGlUqBXsh8rlApy2wUCEiMgxBiPkcdVCtGhaNdTBWdtgxNGqqbPfexNvarbAC5ZcDi+t2q5OWnoG/B4ch+Au/p71H/n+5Mkl6dGgjl2d63eT8flvlnXqna0gS0RErvExDT36TAaM0PyIMkIavAQjvAQjYMq0/8plrPY7D3WWiIjy4sgIFRqTyfGuvGKuU1sPnMH5mzcVtSk3S0YPA9brqsBPykB1VYKidn41t8A4hbNpbiWm2ZXdTTfK1CQiooJgMEKFYve5W7if5vgD+9SNROvxD2cBnL1X4HtlQYduho8QgFQECUkO65kNWQBGAAB2iU0UDwt2+iLKrkwCp+wSEbkLgxFyO5NJdBqIAMDh0zfcft9k+CFZ8nN4XpQeZmcbeV5aFSr6+7q9XSKi0oTBCBWqzvWDZXfkjTpxDMcs+Z9oUhbo0KKc7PWfbCn4iIk7PF0e+OzfrezKDWYzVhyIQYCXtwd6RURUsjAYoUKlUamg0dgHI7njk5ohwNBnWshe/8kW18u8A8qWg68yeoOitt76cjN+j7Mc+3gBFcvYj3wYDGYGIkREbsJghAqNWRQdJrHmTmD9/jSQurDgy7yrIKKBEGN9fUaqomjZ+C937ZMtP5/rCZIoyifimkTHyblERJQ/DEaoUJy5kYS0LDMkQPYxzekLtq+3xBb8XnoY8Iv+fevrxzMX4x6cL0IGAJ/97jjZNdvFO8AvJ+zzW7jnDBGR+3CdEXI7k0lEWpbZaZ3Tzk8XG83ry68Mm83fWyP7GIqIiJTjyAgVqs6RwfDS2f+ajfr+mM3rF6rIX/8wIyaujOkUKFt+4kQStj8YDImsXgZdG4bY1RFFCdEJybKjPkRElD8MRqhQOUpgzWvh0IInpsKQBsyAy3p5E1jfbtta9p5rAk5g+/prACyJtnL9F0WJgQgRkZswGKFCI4oiTGbHSay5NVS4GqpcYqo3MnHGC5AkCelGwGzItAs8AEAy2q4z8teV67L3SEgwWI9FSYIo2ueHMGeEiMh9GIxQoYhLzECWScTm6BvQaVz/miU/5P0kSULr5enYf80MYLCia1756rjLOrcSUhAd/7C9IyIiZzjOTG5nMovIUjAa4k7pRjwIRFzTh0VC0OoV1X2sSpjT8z56NXfsJSJ6SBwZoULVKTIYfl46u/K8CayOJuIWZEyi/vBFSNIGOTwvaPUQBAHr3moke/783buY/MN1CADqVvRHrYqOpwkzECEiengMRqhQaQRlCawnHmJlVRjSkPZBzkuVVo/YOb1dtvVURGXZe5bz9oYASz6JCgIDDiKiQsZghApNUkoKDsbFwU9nPzKSl7MVU32RgQoPduN99t2lAIAUyce6sJk3MvFPnnjnSQUJsdfvyo+73E4xyJYTEVHhYDBCheLAZcsueIOXnX6odlqpTmKZ9lPoBZNN+UpTB0wxve7wutsK2m7/eZRsuZlLvRMRFSkmsJLbHYyLc1tb3VX77QKRvAzQYrzh39bX6fByy73VKqBygOtl5YmI6OFwZIQK1fuda6BhVT+78j6Ljym6XiPkzJARJQEiLPkbYq442gw1fhFbApgDAMiCDsEybeUeLfEF8PuoVrL3TDca8eEvZ+DDXXmJiIoEgxEqVNVDdGhWTW567DGbV7KJqQB+nLTQevy5qTfGfGTJGXn9wVe2vIucHZJpr/GEzUh8cKwFULm8/KhHerqRgQgRURHiYxoiIiLyKI6MUL7JLY9ucz7XUum//30a52/dctmmo9k0c7TK6uU1epl9vcRcxyYAmZnyuSiZZuc5KkRE5F4MRihfLt1ORXqW85VOLyWkWI+/iwYQfaeQe2Xvx/POz6cCmL7ljOw5Edx3hoioKPExDSkmipLLQAQADh+W34CuOKnh67pOOT8tvLwYrxMRFTb+paUCqRviD5UgvzJp2SAAD57MNC4PPN+igl2dWb8qGy1ZaeqI7eYnAAAXJOf7xOTWq5Z92bbzlhERAGjXUIvRnerKXiuKEqJvJcNLwQZ/RET08PjXlgpEJTheJj13jFInBBjSurldnVm/KljmHZYckeNSDZf18s6mmTPYvt7Hm7dh0Z9GAIBaA4ejHqIoMRAhIipC/ItLhWrdKSDzf66TTpUmpiqtt/TvI3Zlp+OM1mNJkhwm4uZOwCUiosLHYIQK3caLRX/P6T/dcHo+6a4J0fEF2ROYiIjcjQms5HbrTnm6B641axDpso6PXs0de4mIigBHRqjQ9ahhX6Z0tGSQeiuaqc4CAH4xt8Bvon3+iZxJPUPsym7fvo3F+yxriNQM9kVkiPN9ZxiIEBEVDQYjVOjmvmmfTLpxgrIE1h8nLcQL6oMAgDNiFcUJrG80f9yuzun421i8z9KWswRcIiIqWgxGKN8yTSZkZpoUf5jXV5B06mwFVkmSkG4EsoxGu6Ajm2TMtHkdczvRrk5CssF1Z4mIqMgxGKF8+fbQVdxLNaKsrxYqKAtGUl1XcUiSJLReno7918wAVj/4cq3951EybT1ER4iIqNAwgZUUy8w04V6q0XVFN8oymh8EIsrowyIhaPVO66gBVCtT5uE6RkREbsORESqQcR1qwkerlT239mCszWs/mToFGS2ZMrIflql6O60jaPUQBAF/jGpldy7daMRHm07D31euR0RE5CkMRqhAvNQaxfu2nJJJOq02YTNUEBEu3EKi5Ifjs/raVki9DWQm4sDsnPVCdFoNYj+VD0by5pxUCypjVyc93chAhIioGGIwQvmWmpmB2KQk+KTLj4zkJZecqocBG3WTUVcVi+nGV1Ftgm2QMEmzGm9ofkNDlW2ix9MKV2A1mUT7Msm+jIiIPI/BCOXL9tMJMEtAly/+hkpd8KmxdYRY1FVZHufUFq4puiYDXlBWE/jlhP0KrCaz8twTIiIqOkxgJcVik5JgdtOMFA1yAoM+mj12581QIUvSIEvKiZc3m5spajvUxXlvrRoaDX/1iYiKC46MUIEsff1xRJT3kT33zOx9+WorQSprVzbDNAAzTAMgGjIBvAQAuIOyqOqgjdwjJtXLAl0b2q/AajCYEXc/AyoVAxEiouKEwQgVSHCAFlUqBCqqK7dqau93z7msA9ivrPqng3r/+mQz9t6zHKsEyI58iKLEQISIqBjiX2YiIiLyKI6MUIHsv3YN9zIyFNWVm03zhOC6jpw523bJll+4l3NsNlseyeRlYAIrEVGxxGCECmTaj/EA4ov8vvN2prus83cSsHjv5SLoDRERuQMf05Bi+68pnVjrWa0rOT8fFKCDTqcums4QEZFLBRoZWbhwIT799FPcuHED9erVw9y5c/H000/L1t29ezfatm1rV37mzBnUqVOnILenYuC/LSri6Qbyn/r9l5wotPuOaCc/g+fw4XREJVmOWz5ZEYOerO6wDQYiRETFS76Dke+++w7vvPMOFi5ciFatWuGrr75C586dcfr0aVSpUsXhdefOnUNAQID1dVBQUMF6TMVCUIgGLauHOzhrG4y4czbN6I72gS0A/C/gMKI2JgAAVGoVAw4iokdIvoOROXPm4I033sCbb74JAJg7dy5+//13LFq0CDNnznR4XcWKFVGGO6UWe6LoeFUzSco5t317PO7cuaOoTbnk1PqCFlfMFZFhlHAXAWiWJ+iw3tOYafN694UY2XoJcSZFfSEiouInX8GIwWDA4cOHMWHCBJvyjh07Yv/+/U6vbdKkCTIzMxEZGYn3339f9tFNtqysLGRlZVlfJycn56ebVECXbqciPcvxjJO7N3P22j2QAhzYayjwvU6KEai7XIusuDMPSl5SdN2gpdEFvicRERVP+UpgvXPnDsxmM4KDg23Kg4ODkZCQIHtNSEgIlixZgg0bNuDHH39E7dq18dxzz2Hv3r0O7zNz5kwEBgZav8LDHT0OIHcRRclpIAIAf+xPcdv9JGNWrkDENX1YJAStXlHdZ6pVK2CviIjIEwqUwCoItotESJJkV5atdu3aqF27tvV1ixYtcO3aNcyePRvPPPOM7DXvvvsuRo8ebX2dnJzMgKQI1Q3xh0rm51neH8CDeKQigJee0clevzCfIyaVh6+BoPVyWkfQ6iEIAla8UU/2/MW7d/HhxgQUfOs+IiLylHwFIxUqVIBarbYbBbl165bdaIkzTz31FNasWePwvF6vh16v7P+Cyf1UggCVyv5jPXd8UiMAGP9CB9nrF+61zRGRS07NnZgqaL0QO6e3bFt5803a1KwmWy/U3x8C5EfniIioeMtXMKLT6fDEE09g+/bt6Nmzp7V8+/bt6N69u+J2jh49ipAQ+43MyPNMogiTSZQNRnLlr2J/MvCcwlVT5RJY9cgZPQkTbitegTXhfqps+b00o6LriYio+Mn3Y5rRo0fjtddeQ9OmTdGiRQssWbIEsbGxGDJkCADLI5a4uDisWrUKgGW2TbVq1VCvXj0YDAasWbMGGzZswIYN8rMnyHP+uXoPKRkmXL6dJvuY5lSelJFLD3GvSCEGFx8cr9XNQDtpkaLrOsyNki03i1zqnYjoUZXvYKRv3764e/cupk2bhhs3bqB+/frYsmULqla1bO5+48YNxMbGWusbDAaMHTsWcXFx8Pb2Rr169bB582a88MIL7vsu6KGZTCJSMpxPj3Vf+mrhUQtAJT8/T3eDiIjyoUAJrEOHDsXQoUNlz61YscLm9fjx4zF+/PiC3IY8pHO9YOg09ouGjfr+mM3rxxxc/zAjJq5sf6eVbHlyVhaGrznGXCMiokcQN8ojOxqVChqN61nfOxysmpo3/0MugbX7GNertMq1Vams/KiHT6qWgQgR0SOKwQjZyMjKRGJ6JnRZrpdTV5p0ml3vMSEOvrCsqNpQFYNNueq0VNhWapr8tOFUU8EXYCMiIs9iMEJW3x2KRbrBjG1n7kAQ3L+h8zTNCrRSW1ZQTRMkfJTrXLzCNv699ohsee6l6omI6NHCYIQAAInpmUg3uGdGSjXhBnSwJMPGS+WRCvmddrOlSt5uuS8AlPfVws9HfjE2IiIqnhiMkJ3FrzVBkI/9iqiNP9qh7HrtXNRRXQMAvGEYgx3iEwCAFPjgruQPAEiTRGTPz5ln6olQB7+JuUdM6gL4esDjsvVEScKZGynw8dYq6iMRERUfDEbITqBeizL+zpdnBxwnnZ6d/H8O6uXUbzJ6A7I3x9smPolYB211fXczTj54AqMRAD9f+VEPUZQYiBARPaLcnxhARERElA8cGSEbWVlGXL5/H6kG17NTHM2m2aqzJJSmGwGjwWCzD002yZhp83rqBvm2LuTKS5UkywiIHJEJrEREjywGI2R1P8Oyv8srXx2H+iG2v5UkCa1XpGP/NTNgM2fGseWHXNdJBxAdn1zwjhERUbHExzQEALh8/77b2sowSg8CEdf0YZEQtMoWK2vzTDmXdXz0atlN/oiIqPjiyAjZ+aJvPTQIC7Qrbzdnf77b6jdiHPapmzs8L2j1EAQBrz8pf/7QIeDUg+PgQA3qhQY4vR8DESKiRw+DEbITXEaD6hXLuqznaDbNkQnjrMcarQ6xs3vb1cmbbzKlt3xbS0IO4dSmWwAAQWCwQURUEjEYITu/HzmO6Fu3XNZzlMD6o8J6uZ24flO2/P4d5zsJExHRo4/BCNlZfgjAoRtFes9u8/8p0vsREVHxwQRWAmAZDSnuIoODPd0FIiIqBBwZITutQoF2zUPsyqf/pGy0ZIGpO4AzAIDzYriiazYNbypb/ldsLGZscv3IiIiIHl0MRshOrTDgjeb2e8BM/8k298NRAmuV0TkLmsWjguxS73nzSBpWlh/1SM7KAsBghIioJGMwQnaWHwJu35ZPOpUkCZIxCwBkV1YF7FdXVZLAejr+tmz5tbuuV4IlIqJHG4MRkvVrjH2ZJEm4uXY8suLOuP1+L8w76PY2iYjo0cAEVgKgbDl2yZiVr0AkP6urKhEZFOS2toiIqPjgyAjJ6lLNvmzT+ZzjysPXQNB6yV47XPMTKuI+9Fo1VomxOCNVdXm/LSOayZbfy8jAO2uj4aVzX1BDRETFC4MRkjV/iH3S6aZcOSKC1guxc+xXVgWAs5OnoI7qGgDgD0NT/DZzqF2dvHkkkaHyox73kjMYiBARlXAMRkqJ9HRjvuo/rSDp1FFi6ladsnq5pabJJ6qmGvPXbyIievQwGCkFPth0CglJWfm65loh9cWRf689Ilsuisp2/yUiokcXE1hLuPR0Y74DkeLIT6+Cn5fOdUUiInrkcGSkFPmwR134qLWy57ZGJ9i8lls39aqDdudpv0Q39YGH6tvXA+wXWQMAg9mM/0VdgZdWvt9ERPToYzBSiviotfDxUfah/qfMqql5FzmzrsD6wwbglHw7RmhkV2rNm0fi5ys/6mEwmBmIEBGVcHxMQ4q1VEVbj19X/+ay/nkxDIfFWoXZJSIiKgE4MlJKGIxG3MvIQKbJpKi+3AyYvkLOo5xmqrPWOuXQAT7CMzZ1RUnADZSDBBXGrnA9m8ZkEuXLRflyIiIqORiMlAJRl27DaJLQZ/FfUKnd/yO/hwDckxyf/+Gs6zZ+OSG/I7AoOWmYiIhKBD6mKeHuZWTAaCreH+j1FUySCfDWQKPhrysRUUnEkZFSZMnrTyDUz0f23OMzdhbafV+qY1+We7SkdgTQtWGI7LWiKOH0jWSo1QxEiIhKKgYjpUgZvRblArwV1ZWbAfN/4za7rAPY55vMHmRfT1i5Gesf7LmnUsHhqIcoSgxEiIhKOAYjpUSWScSpW7eQmJmpqL5sAquCOnJWHDpmV3Y5wb4eERGVTgxGSoHMBzNVhqw855H7f7AhziP3JSKiRwPHv0u4U7dueboLLjVvHOHpLhARkQdxZKQUmfTCY2j+WDnZc12+PFRo9/2gd5hdWfTpOGvOCBERlW4MRkqRsCAN6odVVFTXnQmsg55sbFfnB50O689cUdQXIiIq2RiMlCK/7z+HS04e20iSBMlo2eE37z40ANA112KoafBSnMB6MMY+ZyQ+XtlKsEREVPIxGClFfroA4MJ92XOSJOHm2vHIinP87GRhruOxxv9CpWCxMgDos/iY4j4SEVHpwwTWEu73/cpm0EjGLKeBSG76sEgIWv3DdMtGszD7nBIiIio9ODJSitT1Bbo8U1b23Mc/5+wNU3n4GghaL4ftCFo9BEFQfN/vhzS2K4tNSsLYb69Ap1beDhERlUwMRkqROqHAsGdbyp77+OecHBFB64XYOb3t6uTNEVGawNqsmv3IR6U7ftCpY1x1mYiISgEGI6XITxeA9C+VJZ3KJafqYYAPLCu4mqBRnMCamGK/6mtyliWBVZIkiJIEUZTfzI+79hIRlXwMRkqZ3x9iMdQ+6t2Yrl0BANhpbozBxvGKrntpyd92ZSbRZA00zt9MRUoWH9cQEZVWTGAt4X664OkeyJMeBCIalQB/vetkWB+9GioVAxYiopKIIyOlTCcHE1d+K8T1x374T3O7ssTMTAxa9g80Gi1qB/uhjJ/jhFkADESIiEowBiOlzFdvyyed5l3kTC45ddJ721zWAezzTcr4ywcaGo0WAKASBAYbRESlGB/TEBERkUdxZOQRl5yala/6SmfAZNcbrfkez6ssm+hN19pmv746S1lbcn1MNhoUXUtERCUfg5FH2JsrD+Fmcv6CEXkSgnEP1x68UsOM7Am1wUhELZX9FBwRAvYlKmt9wHL7HYElTtklIqIH+JjmEZWcmuWmQARQQcJurzHW10FIcnnNbrGxW+5dzk+DAF/3LS1PRESPHo6MlACLXm2EAK38rnUNP/zjodpebn4eW8UnbcpuSWUQLVVD6zLy1+QeMWmiA1a+/qRdHVGScCYhBX7eCnfbIyKiEovBSAkQoNUhwE/Z6ILsDBjRjLT3XdfLm2+yZoL8bJo+0zbjYLrlWKuBbN9EUYKft3tGdoiI6NHGYKQYc7REOgCID7I6zCYjUg0GqNKUTY2VS2BVQcRJlet6eX32+07Z8gvpirpCREQEgMFIsXXpdirSs8wOz6caDIi9mwajWcI7645DrSn6H+WXuzKK/J5ERFTyMIG1GBJFyWkgAgBpWQYYzRJUAgCh+C4Y1q5dBU93gYiIijmOjBRzdUP8oZIJNsonqqBWAYCAGS/VQyUfH9nr60/fXmh9e7utt2z5339nWHNGiIiIXGEwUsw5WirdEqBYyv00Gvj5KpuV4s4E1jGd2sneY7Hv3zj46x1F/SEiImIw8ohLyTLhh+PHEeDnp6i+OxNYd56X310v/qbJeixJkmwirshFz4iI6AEGI4+wlCzLh/7srYkAEov8/oOXnXZZ5859A6Ljk4ugN0RE9KhiAusj6ofjxz3dBUXqVw53et5Hr+aOvUREpRxHRkqAbpG+aBpZVvbc5B+uu7xeAvCJsQ+ApQCAVHgpuu+ywZGy5edu3sTHm+8CAKoH+aBeaIDDNhiIEBERg5ESoFYVLf7VtJHsubzBiGwCK4Aqow3ICUZ8EKsggbVdrQjZtir4+ACwBCOCwICDiIicYzBSjIkOkj8BALmKT55MxDcBJx22I0kSJKNl6fUqozfI1zFm2rxWksB6+dZ92fKERKPLa4mIiLIxGCmmrt9PR6ZRBADZdUZuJuV84P8eB/z+faxsO5Ik4eba8ciKO+P2Pnb4fL9suZkTZYiIKB+YwFoMiaJkDUQcOXsuTVFbkjErX4GIPiwSglbZpnuuCACql5XPZSEiIsrGkZFirm4lf2jU9jFjOR8AD56S1NcD/btXkb1+wprz1uPKw9dA0NonpwoQMVazHgCg06qxwJyOZPi67Nv2US1ly1MNBry/4TR8veVXaCUiIsqNwUgx52gF1txPbioHAf0fbyB7fe5gRNB6IXZOb/tKohmY9qb15QpzZ5yY1ceuWt48kuoV5Uc9UtMMDESIiEgxPqYhIiIij+LISDFmEkWYTPK5I7kn2Wy9DvSc5Hr2C+B4OfjLXq7r2fXPQd9MkvN8FyIiotwYjBRTp+OTkG4wQwCgVtkPYMXkmVV71AOzaX85cUO2PNNkki0nIiKSw2CkGDKZRKQbzE7rnE9/+PvoYIlgVCickQy9RpBNviUiIsqNwUgx93xkMLx09j+mUd8fs3ndRCt/fZrxKq45aPuQ/r8IFAoe1XRtGCJbnpllwolriVAJDESIiMg1BiPFnEalgkbj+kP9p+nyy7wvHr8U2x8cB+MeDs36d87JWVog0/4aAzSyy8bnzSNx1C+NScVAhIiIFGMwUoxlGAy4l54BL4PrH5OjhNMpMFiPX9HsRLUJodbXx/VGBOaZNbzZ3Ax3EYjBc1wnsBocPEoymJ0/YiIiIsqNwUgx9Vt0PDINEv6+ch9CIY0ytM+ajdyb3BihQSL8AQA7b7m+fvHey7LlIrgePBERKcdgpBi6l56BTEPhf6DfRpkCXxuhdl2njK8WOp2CikREVKoxGCnmvh7UBJV8fezKH5+xs1Dv266ifVnu0ZLIKsCQZ6rLXiuKEqJvJkOnZiBCRESuMRgp5srodSgX4HppdbmEUwBYPn6Ronp5c06WjbavN2LJZmx68GRGLcDhqIcoSgxEiIhIMQYjxZhZNCMmMVFRQqjjBFZl9fL67Hf7kZczcYouJSIiyhcGI8VUutESgPRfcgIKZva63Ze7Mor+pkREVCpxMYhiKCYx0dNdcOmldvU93QUiIiohODJSzH3ety6aVC5nV97ms6hCve/bbe3zVK5ezbDmjBAREbkLg5FiLjhQi2pBZVzWc3cC65hO7ezq7L14FZsun3LZFyIiovxgMFLM/XHsBM7fveuynqPE1MnIWWJVhKA4gfXE9Zt2ZVdv5azmKkoSRFF+LRRR4qJnRESkHIORYm7ZQQAHCz6N5QPTIAC/AgC+NPWGSqfsum7z/3F6/vLtdJT3Ti5wv4iIiLIxgbUY+uPYCU93waWa5cu7rOOjV0OlElzWIyKi0o0jI8Vcq3CgQ7Mwu/IPNhTuoh+bhje1K7uXkYHRq6Ph4+OFupX8Uc7f+WJsDESIiEgJBiPFXO0QYNCTje3K8wYjjhJTq4zeoKhe3lyShpWD7ercS86Aj49lOo1KEBhsEBGRW/AxTQmngih7TEREVFxwZMQDHM1Cscp1evlB4M4d1zNgHC4Hr1mJwQ+O39b8iGoT7Dfdk5OZabIvM9uXERERPSwGI0Xs0u1UpGc532vm3u2cYwnwyEJj07ecsSszKtgjh4iIKL/4mKYIiaLkMhABgI0xhd+Xh+GlVcFLwziWiIjcg58oHlI3xB8qQT4BVIDNkxp0q25fp7BHSya9UNeuLN1gxP9tOAE1AxEiInIjfqp4iLPZKLmDERWAef+xnwGzKU+OiHWWTPo94Ga0tTz6q7Py9fLIm3Pi5WX/qyGKEgMRIiJyO36yeMD99AzcS9E6HBkR8xwrWcI9u86zquNYqfs4p1xlmyzbUuFy8CaT/cwbk8TZOERE5H4MRorYmO+PIjHdBJ1GAFDwdTpUEOGFnL1i0uHl8poUyQfxCtv/5cQNuzIDE1iJiKgQMBgpQvdSMpCY7p7psZFCDH7Vvw8AuC/5oUnWEgBApqTDdamCtV66JAJIAQD8aG4NqF23XdHFeW+tChoNc5+JiMg9GIx4yPLBT6C8l1723OMzdha43b+lumidNc/6WjRkAngJAJCIAFR2cF3uEZM6ZYGuDUPs6hgMZtxIzIBKYCBCRETuw2DEQ8rqdSgX4Hxvl2xySadd3v3SZR3Afjn4/Q7qDfx0M/bctRwLKsiOfIiixECEiIjcjsGIB2QZshCblIR0o1FRfbkE1voCIEkS0o1AmiSiUZ6gI5tkzLR5PWfbLtl65+/mukaSXyVWlFysHEv0kMxmM4wK/10QkedptVqo1Qqe/7vAYKSI3UrNAgC8vPAI1OqCJ7BKkoTWy9Ox/5oZlpyQlxRdN29nuss6SQYgOj7Zrtxs5mwaKhySJCEhIQGJiYme7goR5VOZMmVQqVIlCA5miCrBYKQIxSYlua0ts9HwIBBRRh8WCUErn6OS19NPBjlvS6Pijr3kVtmBSMWKFeHj4/NQf9SIqGhIkoT09HTcunULABASYp9rqBSDEQ9Z+GpD1K0UIHvumdn78tXWuTHBaC8ucFpH0OohCAJGtJPfKO/YsXTsvWc5Ll9Wh3qh9n0zmURcupPmcH0UooIwm83WQKR8+fKe7g4R5YO3tyX38datW6hYsWKBH9kwGPGQoAANqlQIVFRXLjn1+TE5G9n5aAXEzuwte23efJPRHdvK1ltR9hj2bogDAAgCZEc+VCqBgQi5XXaOiI+Psh2liah4yf63azQaGYwUF3KJn9ZzuU79dvQojiUkKGpTLoG1joI6craeuShbfv1azgJqZlGUX4FVZM4IFR4+miF6NLnj3y6DETe6dDvV6a68l26nWY+/PiABitdDdZ8hK8+5rHPu7B38orVfgZWIiKgwcNEINxFFyWkgAgD7ol0HAsVBrYhqTs+X9dVyBVYiInIbjowUgroh/rK5FZXK5OzH+3Q1oO3jobLXT/vR9YjJHamM9XilqZOiZd4BYPHA2rLlccnJmP7TDXhpVGgfWRGVy8gn1wLyC6IRkXKCIGD58uUYNGiQp7viVh988AFWrFiBmJgYT3eFHjEMRgqBShBkE0Atz9UswUjdUBUGN2sie33eYEQugTX3yqpfmbsi9lP5lVXz5pI8X7eGbL3rd5PxqeYmAEAjcO8ZooJIS0vDJ598gvXr1+Py5cvQ6/V4/PHHMWrUKHTr1s3T3SMqtviJQ0TkBikpKWjdujVWrlyJ999/H2fPnkVUVBRatmyJXr16Yfr06Z7uIrKysjzdBSJZHBlxM7PZMhNFbmREyjUZZcl+EVH7lc2AUTJTRulsmtQ0g2x5mtE9uwkTuUP2YkqeUpCF195//32cOXMG0dHReOyxx6zlH330Eby9vTF58mR06dIFTZpYRkQTExPxyiuv4Ndff4W3tzfeeustTJs2DSqV5f8Rf/75Z3zwwQc4d+4cdDodatWqha+++sp6/eXLlzF+/Hjs2LEDkiThySefxOzZs9GoUSMAwO7du9G2bVts3rwZn3zyCf7++29MnDgRy5Ytw2uvvYZp06ZZ+yhJEh577DEMGDDAGjR9//33mDlzJs6cOYNKlSqhZ8+e+PDDD+Hr6wvAEti88847+Oabb6BSqdCvXz8EBipbroAoLwYjbnT46j0kZ5gcLgx2+pLt1NjooupYLv9ee0S23GjifiBUfKSnp8PPz89j909NTbV+6CohSRLWrFmD/v372wQi2caMGYMZM2Zg9erV1mBi6tSpeO+99zBt2jTs27cPw4YNQ1BQEEaOHImbN2/i5ZdfxrRp09CnTx8YDAYcPXoUGo3lT/atW7fQqlUrdO/eHXv27IFer8f8+fPRpk0bnD17FsHBwdZ7jxw5Eh9//DGaNGkClUoFk8mElStXYurUqdaAa+/evbhy5QoGDhwIAFi9ejVGjBiBL774Aq1atUJcXByGDx+OhIQEfPvttwCACRMmYP369VixYgUiIyPx9ddfY8GCBShXrlzB3nQq1fiYxk1MJhHJGc5HF6Juu+9+FXDfejxIvdVt7apVgJ9O57b2iEqD27dv4969e6hfv77seW9vb9SoUQPnzuXMqOvYsSPGjh2LWrVqYfDgwRg2bBhmz54NAIiLi4PRaET//v1RvXp11KlTB/369UODBg0AAIsWLUJYWBgWL16Mhg0bonbt2pg3bx7KlSuH1atX29z73XffRa9evRAREYGqVati4MCBiI2NxZ49e6x1Vq5cidatW6NGDUtO2eTJkzF9+nT861//wmOPPYZnnnkG8+fPx7p163Dnzh2kpaVh0aJFmD59Onr27InatWtj9uzZqFWrllvfVyo9ODJSCDrXC4ZOYz+9ZdT3x2xe13NwvZIRk4pCovX4P5pfsUrqoahvXw94XLY8MTMTry49BI2avxLkeT4+PkhNTfXo/fNDerCjtbNHO1KeXa9btmxp87p169b47LPPkJycjEaNGqFjx46oV68ennvuObRt2xa9evVCeHg4AODgwYM4fvy43ehRRkYGLly4YFPWvHlzm9fVq1dH69atsWrVKrRp0wbp6en44Ycf8PnnnwOwBFYxMTEYN24cJkyYYNf/CxcuwNfXF1lZWbLfw8aNGx2+B0SO8JOnEGhUymajbJaZJQPk5H8EIRE79WPgr7f/MaWlJiP3nyG5GTe528rm5ys/6mESRQYiVGwIgpCvxySeFhQUhHLlyuHkyZOy5zMzM3H58mV06NDBWuYscFGr1di6dSsOHTqEP/74Az/88AMmTJiA77//Hl27doUoimjTpg0WLVpkd21AgO20fLn3ceDAgRg1ahTmz5+PDRs2wGw2o0+fPgAA8cFKy3PmzLHpb7awsDCcP3/e5fdAlB/89HEzkyTCYFS2m66zpFNJkmA2ZkClSkeaTDpHmjHn/7JMUD90AmuqkTkjRAWlUqkwYMAALFmyBJMmTUJERITN+Tlz5iAjIwOvvfaatSwqKgojRoyweR0WFmYNJgRBQLNmzdCsWTNMnDgRzz//PP73v/+ha9euaNq0KZYtW4bQ0NAC7enTp08fjBgxAj/++CNWrlyJXr16wd/fHwAQHByM8PBwnDt3Dv/9739lr69RowZ0Oh2ioqLQsGFDa/n+/fvz3RcigMGIW52IS0RalhmQJGhUBdssCLAEIjfXjkds3BkoSeHbYn5KcfaPowRWSeK+M0QPY/r06di9ezeee+45zJgxAy1atEBqairWrVuHmTNnYurUqdbkVQDYtm0b5syZg65duyIqKgoLFizARx99BMDyob5jxw506tQJlSpVwoULF3DixAlrgunw4cOxdOlSdO/eHZMnT0Z4eDiuX7+OrVu3olOnTnj66aed9tXf3x89e/bE7NmzcfLkSWzbts3m/EcffYTBgwejfPny6NmzJ7RaLc6ePYtff/0VX3/9NXx9fTFkyBBMmTIFISEhqFu3LpYuXYqzZ88ygZUKhMGImxiMZksg4gaSMQtZcWdcVwTgX7kmPhYGwl2DpQE+Gvh5M4GVKL8CAwOxf/9+fPLJJ/jggw9w5coV66JnGzZsQPfu3W3qT548GVFRUZg0aRK8vb0xcuRIjBw50trWgQMHsGDBAty/fx+VKlVCv3798MEHHwCwjF4cOHAA7733Hnr37o2kpCRUqlQJrVu3Rmio/MrOeQ0aNAgdOnRAeHg42ra13c37tddeQ0BAAGbNmoWZM2dCrVbjscceQ48ePax1Zs2ahczMTGuA1LdvXwwbNsw624YoPwQpb1ZVMZScnIzAwEAkJSXZPQ8tLlLTDNZRhwX9GsFPb/+BXmuyslkvoiET1z5/CQBQefgaCFovh3UFrV7xc9vm/sDSd+yfAQOWnJHN0Tfgo9Oha8MQrsBKRSYzMxNXrlxBREQEvLwc/64TUfHk7N+w0s9vjowUAp1KDZ3O9WMaR0mn48cNw6cPjmvp7mDHZyPt6uTNEXHU1quzNmNfouVYq3aSwGoS4cMpvURE5AEMRtzsevxdbL14UdFaHY6STtep/7QGI9WFeEXJqdN/kq9zNjHnWJIsuwvLEYv/ABkREZVQDEbc6MDluwCAsd9eKfJ7L/3bdZ07SUB0fLLsOQYjRETkKUwMcJOtFy96ugsudetQyWUdL51Kdl8dIiKiwsKRkUIwrFVlNKhhv9DQkJXnZGq7xxvN5cvPngWikizHoUG+qBcqn0CU/fhGbk8dIiKiwsRgpBBEVNHi+bo1ZM7YBiOOkk7/mvCuy3p580gm9ZRva+PJs4haewkAIAhwOurBQISIiDyBwUghGPvtFSx0kDciSRIkYxYAoMroDbJ1Vgq2C5ApSWDddylWtjz2es6Kq6IkMYGViIiKHQYjheSyTFn2yqquFjRrV4D7vfq1/J4YucXfSnOYwEpEROQpTGB1EyUzaPKzsioAtApXQ6PVPky3bNQPD3NZx0evZgIrEREVKY6MFJLqMmW559s4W1n1e91UNFDFwEcLDDMKgIInKGv+3UC2/FZaGt795jJ8vLWoE+yPigHOd0JlIEJUOsTExCAiIgK7du1CmzZtPN0dt1ixYgVef/11ZC8svnv3brRt2xZXrlxBtWrV3NYuuR+DkUKyUybpNHeOiKD1Quyc3rLXHp/8IXxzBQVKElhbP1ZFtq1biWnw8b4GAFBBYLBBVAgGDRqElStXArDs4BsSEoK2bdtixowZCA8Pd8s9qlWrhkGDBln3p3lY4eHhuHHjRone2K5ly5a4ceMGgoKCFNV3FKD17dsXzz//fCH1kgAGIx4zUvMDsCM6pyAwHGj6uuc6REQPpUWLFvjxxx8hiiKio6MxZMgQdO3aFUeOHIFKVbyeiGdlZUGv16NSJddrDylty13c2Z5Op3PL9+jt7Q1vb2839IgcKV7/QoqxmNuJTr/yqjZhs91XY+GC9fwQzWbgz8+sX4c2LbTW62uYhMjMZYjMXIbfxSdl28rrXnKG7Nf9TINdXaLiTpIkpBtMHvsqyHB89gdfaGgoOnTogKlTp+L48eO4+GBBxHXr1qFBgwbQ6/UICQnByJEjkZGRYb0+OjoanTp1QpkyZeDj44M6depg9erVAID69evj6tWrmDp1KgRBgCAIiImJAQBcvnwZL730EsqWLYsyZcqgQ4cOOH78uLXd3bt3QxAEbNmyBW3atIG3tzc+/fRTxMTEQBAE7N6921r30qVL6NGjBwIDA+Hr64v27dvj2LFj1vPZ16xZswbdunWDn58fhg0bJvt+rFixAoIgYM+ePWjYsCG8vLzQsGFD7Nq1S1F7O3bsQOvWreHt7Y3Q0FAMGjQIt2/ftvkdmTRpEipWrAg/Pz+88soruH//vk0fsr/37Pcq+3vs06cPypcvD29vb9SrVw/ff/897ty5g4iICABA27ZtIQiC9dFO9vcCAKmpqfDz88OyZcts7pWWlgY/Pz8sXbrUWrZgwQLUrVsXXl5eqFmzJqZPnw6j0Sj7fpV2HBlRoP6Urcg0mh+6neqqG4rqZSL//1fQbeEB2XJJScIJUTGTYTQjcvLvHrv/6Wmd4KN7uD+P2f8nbTAYsG3bNvTv3x9TpkzBK6+8ggsXLmDIkCG4f/8+Vq1aBQDo168fIiMjERUVBW9vb5w/fx4mkwkAsGfPHjRu3Bh9+/bF2LFjAQBBQUG4desWWrVqhe7du2PPnj3Q6/WYP38+2rRpg7NnzyI4ONjan5EjR+Ljjz9GkyZNoFKp7AKurKwsdOzYEaGhodi+fTv0ej2mTZuGdu3a4fz586hQoYK17vjx4/HRRx9h7ty5LgO3kSNHYs6cOQgJCcHMmTPRpUsXXLx4ESEhIQ7b2717N7p27YqPP/4Yy5cvR1JSEsaNG4cePXpg3759EAQB8+bNw2effYb58+ejdevW2LhxI6ZOneq0LwkJCWjZsiUiIyOxceNGhIWF4cyZMzAYDChfvjwOHjyIZs2aYcOGDWjZsiXUavsNT/38/NC7d2+sXLkSgwcPtpb/8MMPkCQJffr0AQBMnz4dX3/9Nb744gs0btwYZ8+exVtvvYX09HTMnDnTaT9LIwYjLsTcTnRLIJLXTSkQf5uesL6+KgU7qf3w/L3UKOfHYUaionDlyhXMmjUL4eHhqF27NoYNG4Zu3bphypQpAIDatWtj/vz56NWrF6ZOnYqIiAjExMRg7NixqFevHgCgevWcNPjy5ctDrVbDz8/P5rHDokWLEBYWhsWLF1vL5s2bhy1btmD16tXWwAUA3n33XfTq1cv6OvdoAQB88803iIuLQ1RUlPUea9euRUREBObPn2+Tq/Lmm2/i9deVPVaeOXMm2rdvDwBYtmwZdu3ahYULF2L69OkO23vzzTcxdOhQvP3229aylStXomrVqjh8+DCaNm2KTz/9FG+//bY1IBg/fjwOHjyIDRvk128CLCMVkiRh06ZN8Pf3B2D7PmfnlpQrV87p452BAweiffv2uHLlinU0ZeXKlejVqxf8/f2Rnp6OWbNm4bvvvkOXLl0AABEREfjwww8xbNgwzJgxwzrSQhYMRvJh9RtPIiRAfjfeNp9F5auty2Io3pX+7Y5uQQCwaWgL2XMmUcSWMwkI1MvP3CEqjry1apye1smj98+vP//8E35+fhBFERkZGWjWrBl++uknaLVanDp1CpMmTbKp/+yzz0KSJJw6dQoREREYN24c3njjDSxbtgzPPvssunfvjscff9zpPQ8ePIjjx4/Dz8/PpjwjIwMXLlywKWve3MGeEQ+cOnUKderUsfkQ9vLyQrNmzXDypO06Rq7ayq1ly5bWY51OhyeffBLR0dE2dfK2d/DgQRw4cMAmyMp24cIF1KpVC3FxcTZtA0Dr1q2dBiOHDx/GU089ZQ1ECqpt27aoUqUKVq9ejcmTJ+Pq1avYvXs3tm/fDsDyyC09PR19+/a1CTrMZjMyMzORkJBgMzJEDEbyJSRAh2pBZRTVlZsB8864bS7rAPYzZeTq1Z6wGVkPjnUAygXIj3qYTCIDEXrkCILw0I9JilrTpk2xdu1aqNVqVKpUyWXCY/aHVPZ/J02ahAEDBmDr1q3YsWMHZs6cibFjx2LGjBkO2xBFEW3atMGiRYvszgUE2O5D5evrfFq/s8ctef8v3lVbrrhqTxRFjB07FoMGDbK7Njg4GKIoyrZTkHsXhCAIeO2117Bq1SpMnjwZq1atQnh4ONq2bQsA1v6tW7cOdevWtbte6eye0uTR+tdeCAwG549gDGbLeZMIzPg2CmXKOK7raqn3rqJt4pKSZd4BoPcU+3pZuY5FWIIOOSZRvpyI3Mvb2xs1asjtSQXUq1cPu3fvxjvvvGMty04czX4sA1geGQwdOhRDhw7FrFmzMHPmTGswotPpYDbb/r1q2rQpli1bhtDQUPj4+DxU/+vXr4+FCxciISHBOjqSmZmJgwcP4q233ipwu/v370fnzp0BWPJnDh065PIRT9OmTXHq1CmH7ycAhIWFISoqCt26dbOWRUU5H6Fu2rQpFi9ejJSUFNnREZ3OMvKd932WM2jQIHz44YfYt28fVq1ahX/961/WWVP16tWDl5cXLl26hK5du7psi0p5MPLtwau4nex8tsn95BRkf85viwcQL19PyVLvCwvYz8NZzs8bAfxyQllyLBEVvffeew+dO3fG1KlT0a9fP5w/fx7Dhw/HgAEDEBERgdTUVPzf//0fevfujerVq+P+/fvYunUrIiMjrW1Ur14dUVFRuHbtGry9vVGuXDkMHz4cS5cuRffu3TF58mSEh4fj+vXr2Lp1Kzp16oSnn35acR/79++P6dOno0+fPpg9e7Y1gTUzM9PhjBklJk6caJ1GPGvWLNy/fx9Dhw51es20adPQsWNHjBw5EoMGDUJAQAAuXLiAH374AZ9//jn8/f0xZswYvP/++4iMjETLli2xadMm/PHHH07bHTZsGL766it069YN06ZNQ+XKlXH+/HlkZGSgR48eCA4Oho+PD7Zt24b69etDp9OhbNmysm099thjaNWqFUaMGIGLFy9i4MCB1nN+fn6YOHEiJk2aBLVajY4dO8JkMuHkyZM4fPgwPv300/y/kSVcqZ3aazCYXQYiAPD9QWUf8vlZ6l0fVhf/xnuK6irRp7GfyzplfbXQaErtj5vIozp16oTVq1dj/fr1qF+/Pt544w306NEDX331FQBAo9Hg/v37eOONN1CnTh106tQJFStWxHfffWdt48MPP0RiYiJq1aqFoKAgxMbGIjg4GAcOHEBwcDB69+6N2rVrY8CAAbhy5QpCQ0Pz1UcvLy9s27YNZcqUwXPPPYcWLVogMTERO3bseKjHCnPmzMGIESPQpEkTHDlyBJs2bXLZt7Zt22Lnzp2Ijo7GM888g4YNG2LUqFHw9fW1rkEycuRIjBw5EmPGjEHjxo1x4MABTJ482Wm7wcHBiIqKQtmyZdG1a1dERkZizJgx1um2arUaCxcuxPfff4+wsDA0adLEaXuDBg3C0aNH0bp1a7tRnEmTJmHu3LlYunQpGjVqhNatW+Pzzz9/qJVgSzJBegTWt01OTkZgYCCSkpLsnoMWlMFgxuK9lu3sBreqCp3MFC4AGL54q2VEBEAogNaRstWw7lgmrn3+EgDnS70DgKDV5+u55RMyM31PZFlGRADgg95heLVJQ6dtMBCh4iozM9M6K8HLi/lNJQWXUC89nP0bVvr5Xaof02TTqdXQ6eSDkdwxSqNw4JN/ySedrjvmeql3JYmpcvU2TLWvt+bwCby/3rLMu0alYrBBRESPrFIfjKSkpiI+KcXhyEhKWk5i6uZL8ompACAZM21eK0lOVZrAuunUObuyK1e5sioREZUMpToYWbznIgxmEWsPJ8CyWoe9NIPrxNS83teshl4j/9behz++NPWEGcrXMRix5qLrSkRExcigQYNkp+YSySm1wUh8UgoMZtfTXvOTmAoArcLV+Lf3Tqc5IcPVG3FAjMRrxomK23WmW+3abmmHiIjIE0ptMJLbqsFNERoonzj31Ic5C5U5S0w9pv8P1DAjQCe6TE7VCCIuS8pX35v3qv1c++SsLHy56RoqVghU3A4REVFxxGAEQAU/LULLuV4e2FFiKgBUm+CFCkjCm+bNUEHCf56OsKuz5M8rAIA7UgBWmzsoTmDtVt9+5CM5NQvfVUh22WciIqLirlQHI5IkwZiVhWdm7nBcJx+JqXcQiFmm/gCAGbvkatjuo6A0gTU1zT5ZNdXEBFYiIioZSm0wIkkS4lbnLzHVU/699ohdGefuExFRSVFqF6d4dtbOfAUi+rBICFqZ1ccKWUUXk27K+2nh5yO/kzAREdGjoNSOjOTmasVUwPWqqWrkbKxkhgqOpgrnV782fvh3S/ttxEVJwpmEFPh4ad1yHyIqXWJiYhAREYFdu3ahTZs2nu6OW+Rd9XX37t1o27Ytrly58lDLsHM12cLHYASuElMteR1jNd9BB5NsYioA4MB862GbrM+we+abDtvK5iiBdf7uKMzemggA0Go18PO1H/kQRYmBCFExMWjQIKxcuRIAoFKpEBISgrZt22LGjBkIDw93yz2qVauGQYMG4YMPPnBLe+Hh4bhx4wbKlSvnlvaKo5YtW+LGjRuK99ZxFKD17dsXzz//fCH1kgAGI4oNUv8OPyETOODpnhBRcdSiRQv8+OOPEEUR0dHRGDJkCLp27YojR45Yt5YvLrKysqw76bqrLXdxZ3s6nc4t36O3tze8vb3d0CNypHj9C/GgahM2y37lV4akw02prKK2Fu49IPt1/HKWtY4kSRBFmS8OF1JpYMwEMhKVf8n9u8hMUn69Ib3AXc3+4AsNDUWHDh0wdepUHD9+HBcvWlZQXrduHRo0aAC9Xo+QkBCMHDkSGRkZ1uujo6PRqVMnlClTBj4+PqhTpw5Wr14NAKhfvz6uXr2KqVOnQhAECIKAmJgYAMDly5fx0ksvoWzZsihTpgw6dOiA48ePW9vdvXs3BEHAli1b0KZNG3h7e+PTTz9FTEwMBEHA7t27rXUvXbqEHj16IDAwEL6+vmjfvj2OHTtmPZ99zZo1a9CtWzf4+flh2LBhsu/HihUrIAgC9uzZg4YNG8LLywsNGzbErl27FLW3Y8cOtG7dGt7e3ggNDcWgQYNw+/Zt67WSJGHSpEmoWLEi/Pz88Morr+D+/fs2fcj+3rPfq+zvsU+fPihfvjy8vb1Rr149fP/997hz5w4iIiwj323btoUgCNZHO9nfCwCkpqbCz88Py5Yts7lXWloa/Pz8sHTpUmvZggULULduXXh5eaFmzZqYPn26dYdgOdnvxzfffIOuXbvCx8cHERER+PHHH5GcnIyBAwciICAA4eHh+Prrr+3u/8477yAsLAw+Pj5o0qQJfvjhB5s677//PurVqwdfX1+Ehobi1Vdfxc2bN23qCIKA+fPnY/DgwQgMDERISAjGjRsHs9mMwsSREYW+NbeDDo5/iQDACA22mJsjA8p2Hv1kyz2XdW4mmxEdz/VEqJTa9zmwZ5by+v93FfAuY1v2eQMgK0nZ9Y36Az0XKb+fE9n/J20wGLBt2zb0798fU6ZMwSuvvIILFy5gyJAhuH//PlatWgUA6NevHyIjIxEVFQVvb2+cP38eJpMJALBnzx40btwYffv2xdixYwEAQUFBuHXrFlq1aoXu3btjz5490Ov1mD9/Ptq0aYOzZ88iODjY2p+RI0fi448/RpMmTaBSqezyH7KystCxY0eEhoZi+/bt0Ov1mDZtGtq1a4fz58+jQoUK1rrjx4/HRx99hLlz57rMoxg5ciTmzJmDkJAQzJw5E126dMHFixcREpKz8GPe9nbv3o2uXbvi448/xvLly5GUlIRx48ahR48e2LdvHwRBwLx58/DZZ59h/vz5aN26NTZu3IipU6c67UtCQgJatmyJyMhIbNy4EWFhYThz5gwMBgPKly+PgwcPolmzZtiwYQNatmwJtcyeZX5+fujduzdWrlyJwYMHW8t/+OEHSJKEPn36AACmT5+Or7/+Gl988QUaN26Ms2fP4q233kJ6ejpmzpzptJ8TJ07Ep59+ijlz5mDWrFl49dVX8eyzz6Jnz56YNGkSVq5ciSFDhqBNmzaoWbMmAKB79+4wGo347rvvEBoaij/++AP9+/eHv78/OnXqBADQ6/VYuHAhqlatimvXrmHMmDHo168fdu7caXP/qVOnYvLkyZg4cSL+/vtvDBw4EJGRkXj99ded9vthMBhR6CPTqx65b69GDZye99GroVK5J1mWiNzjypUrmDVrFsLDw1G7dm0MGzYM3bp1w5QpUwAAtWvXxvz589GrVy9MnToVERERiImJwdixY1GvXj0AQPXq1a3tlS9fHmq1Gn5+fjaPHRYtWoSwsDAsXrzYWjZv3jxs2bIFq1evtgYuAPDuu++iV69e1te5RwsA4JtvvkFcXByioqKs91i7di0iIiIwf/58m1yVN998U/EH08yZM9G+fXsAwLJly7Br1y4sXLgQ06dPd9jem2++iaFDh+Ltt9+2lq1cuRJVq1bF4cOH0bRpU3z66ad4++23rQHB+PHjcfDgQWzYIL+ZKWAZqZAkCZs2bYK/v2Why9zvc3ZuSbly5Zw+3hk4cCDat2+PK1euWEdTVq5ciV69esHf3x/p6emYNWsWvvvuO3Tp0gUAEBERgQ8//BDDhg3DjBkznE6IGDp0KF5++WUAlqBm2bJliIiIwH/+8x8AwJQpU/DZZ59h586dqFmzJvbs2YO9e/ciISHBmgP0n//8B3/99Re+/PJLazAyadIk6z2qVauG+fPno3nz5oiPj0doaKj1XK9evazvfY0aNbB8+XJs3769+AUjCxcuxKeffoobN26gXr16mDt3Lp5++mmH9ffs2YPRo0cjOjoaoaGhGD9+PIYMGVLgTrvbKt1MeOscz6GNkypgtHGoW+9ZDUCfF+QTx8xmM/YdTULLBjURWSkAOid9YyBCVDz8+eef8PPzgyiKyMjIQLNmzfDTTz9Bq9Xi1KlTNh8EAPDss89CkiScOnUKERERGDduHN544w0sW7YMzz77LLp3747HH7efSZfbwYMHcfz4cfj5+dmUZ2Rk4MKFCzZlzZs3d9rWqVOnUKdOHZsPYS8vLzRr1gwnT57MV1u5tWyZs9ijTqfDk08+iejoaKftHTx4EAcOHLAJsrJduHABtWrVQlxcnE3bANC6dWunwcjhw4fx1FNPWQORgmrbti2qVKmC1atXY/Lkybh69Sp2796N7du3A7A8cktPT0ffvn1tgg6z2YzMzEwkJCTYjAzl1aRJE+txdr3cZRqNBkFBQdZHLAcPHoTJZEKVKlVs2jEYDNZgCQB+/vlnfP7557hw4QKSk5Mhipb92WJiYmyCkSeeeMKmnbCwMFy7dk3Zm1NA+Q5GvvvuO7zzzjtYuHAhWrVqha+++gqdO3fG6dOn7d4IwPJ/CC+88AL+/e9/Y82aNYiKisLQoUMRFBSE3r3lZ7AUhXJIQvZb+6TqPHydfKhfFHN+SEqXcJerN2b5Zmw4Zzl+ojYw9JkWsm0ZDGZI5ssALMEGAw4qtVqPAp76r/L6XjJ7NY06KZ9LIkdd8DV7mjZtirVr10KtVqNSpUouEx6zP6Sy/ztp0iQMGDAAW7duxY4dOzBz5kyMHTsWM2bMcNiGKIpo06YNFi2yf7QUEBBg89rX19dpf5w9bsn7f/Gu2nLFVXuiKGLs2LGyu/4GBwdbP0Rd7QOm5N4FIQgCXnvtNaxatQqTJ0/GqlWrEB4ejrZt2wKAtX/r1q1D3bp17a53NbtHq82ZKZnd39xl2eXZ9xFFEX5+fjhyxH6BzOzr/v77b/Tq1Qvjxo3DrFmzULZsWcTExOD555+HwWC7ordOZ/vvIPe9Cku+E1jnzJmDN954A2+++Sbq1q2LuXPnIjw8XPYfAwAsXrwYVapUwdy5c1G3bl28+eabGDx4MGbPnv3QnX8Y5YRUj96fiBTQellyQJR+yX3QeAUqv17nU+Cuent7o0aNGoiIiLALROrVq2eTKArA+jr7sQxgeWQwdOhQbNiwAdOmTcOCBQus53Q6nV0SYdOmTXH69GmEhoaiRo0aNl8VK1bMV//r16+Ps2fPIiEhwVqWmZmJgwcPon79+vlqK7f9+/dbjw0GAw4dOiT7AZ1b06ZNcerUKbvvqUaNGvD390dgYCDCwsIQFRVlc13e13LtHjhwACkpKbLnsz+ElSRrDho0CJcuXcK+ffuwatUq/Otf/7LOmqpXrx68vLxw6dIl2e9Bo3FvhkTTpk2RkpKC1NRUu3tVrVoVALBv3z6UKVMGs2bNwlNPPYXatWvb/Kw9LV/BiMFgwOHDh9GxY0eb8o4dO9r8wuV24MABu/qdOnXCP//84zCrOCsrC8nJyTZf7ibmXZSsxyLZrzGGIfjE1Nft9yei0uO9997Dpk2bMHXqVJw/fx6//vorhg8fjgEDBiAiIgKpqakYNmwYdu7ciZiYGBw9ehRbt25FZGSktY3q1asjKioK165dw507dyCKIoYPHw5JktC9e3f8+eefiImJwb59+/D+++/jzz//zFcf+/fvj5CQEPTp08f6+GfAgAHIzMx0OGNGiYkTJ2Lnzp04ffo03nzzTdy/fx9Dhzp/7D1t2jRs3rwZI0eOxNGjR3Hp0iVs3boVb775pjWQGDNmDObPn4+VK1fiwoUL+Oyzz/DHH384bXfYsGEQBAHdunXDn3/+iStXruD333/Hxo0bAVhGXXx8fLBt2zbcvHnTbnZObo899hhatWqFESNG4OLFixg4cKD1nJ+fHyZOnIhJkybhyy+/xLlz5xAdHY1169Zh3LhxCt855dq1a4f27dvjpZdewk8//YTLly/j8OHDmD9/Pr766isAQJ06dXDv3j0sXrwYV65cwfr16/Hhhx+6vS8Fla9g5M6dOzCbzTYZ2oDlB+gowkpISJCtbzKZcOfOHdlrZs6cicDAQOuXuxYNyu2ylPPopW7mcqBxf9mvDeIz2CY+6fb7E1Hp0alTJ6xevRrr169H/fr18cYbb6BHjx7WDwqNRoP79+/jjTfeQJ06ddCpUydUrFgR3333nbWNDz/8EImJiahVqxaCgoIQGxuL4OBgHDhwAMHBwejduzdq166NAQMG4MqVKzY5AEp4eXlh27ZtKFOmDJ577jm0aNECiYmJ2LFjh+JFw+TMmTMHI0aMQJMmTXDkyBFs2rTJZd/atm2LnTt3Ijo6Gs888wwaNmyIUaNGwdfX17oGyciRIzFy5EiMGTMGjRs3xoEDBzB58mSn7QYHByMqKgply5ZF165dERkZiTFjxlj/x1itVmPhwoX4/vvvERYWZpOnIWfQoEE4evQoWrdujRo1aticmzRpEubOnYulS5eiUaNGaN26NT7//POHWgnWEUEQsGnTJrz88ssYPXo06tSpgxdffBG//vorHnvsMQDAiy++iClTpmDq1KmIjIzEggUL8MUXX7i9LwUlSPlY3zY+Ph5hYWHYv38/WrTIyXf46KOPsHr1apw9e9bumlq1auH111/Hu+++ay2LiopC69atcePGDdmM5aysLGRl5ay1kZycjPDwcCQlJdk9By0oSZJQdcyPAICrn/Vy+hwxOx/EUb5IfuqNWW6p89nrztsyGCzDhM6SV4lKgszMTOusBC8vZdPiqfjjEuqlh7N/w8nJyQgMDHT5+Z2vB1cVKlSAWq22GwW5deuW3ehHtkqVKsnW12g0KF++vOw1er3erSv6yREEweES8Hm5CkLyU89VEJKNQQgREZUW+XpMo9Pp8MQTT1inL2Xbvn273RSrbC1atLCrv23bNjRt2tQuO5iIiIhKn3zPphk9ejT+97//YdmyZThz5gxGjRqF2NhY67oh7777Lv71r39Z6w8ZMgRXr17F6NGjcebMGSxbtgxLly61WYyHiIhKlkGDBvERDSmW7/lFffv2xd27dzFt2jTcuHED9evXx5YtW6zTh27cuIHY2Fhr/YiICGzZsgWjRo3CggULEBoainnz5nl0jREiIiIqPvKVwOopShNgiOjRwwRWokebOxJYuWsvERULhb3CIxEVDnf82+VGeUTkUTqdDiqVCvHx8QgKCoJOp3PLkt1EVLgkSYLBYMDt27ehUqnslpHPDwYjRORRKpUKERERuHHjBuLj4z3dHSLKJx8fH1SpUsW6HH5BMBghIo/T6XSoUqUKTCaTon1BiKh4UKvV0Gg0Dz2ayWCEiIoFQRCg1Wq5/hBRKcQEViIiIvIoBiNERETkUQxGiIiIyKMYjBAREZFHPRIJrNmLxCYnJ3u4J0RERKRU9ue2q8XeH4lgJCUlBQAQHh7u4Z4QERFRfqWkpCAwMNDh+UdibxpRFBEfHw9/f3+3rsyYnJyM8PBwXLt2jXveeADff8/i++9ZfP89i+9/0ZAkCSkpKQgNDXW6KNojMTKiUqlQuXLlQms/ICCAv4wexPffs/j+exbff8/i+1/4nI2IZGMCKxEREXkUgxEiIiLyqFIdjOj1ekyZMgV6vd7TXSmV+P57Ft9/z+L771l8/4uXRyKBlYiIiEquUj0yQkRERJ7HYISIiIg8isEIEREReRSDESIiIvKoUh2MLFy4EBEREfDy8sITTzyBP//809NdKpH27t2Lrl27IjQ0FIIgYOPGjTbnJUnCBx98gNDQUHh7e6NNmzaIjo72TGdLmJkzZ+LJJ5+Ev78/KlasiB49euDcuXM2dfj+F55FixahYcOG1oW1WrRogd9++816nu990Zo5cyYEQcA777xjLePPoHgotcHId999h3feeQfvvfcejh49iqeffhqdO3dGbGysp7tW4qSlpaFRo0aYP3++7PlPPvkEc+bMwfz583Ho0CFUqlQJHTp0sO5JRAW3Z88eDBs2DH/99Re2b98Ok8mEjh07Ii0tzVqH73/hqVy5MmbNmoV//vkH//zzD9q1a4fu3btbP+z43hedQ4cOYcmSJWjYsKFNOX8GxYRUSjVr1kwaMmSITVmdOnWkCRMmeKhHpQMA6aeffrK+FkVRqlSpkjRr1ixrWWZmphQYGCgtXrzYAz0s2W7duiUBkPbs2SNJEt9/Tyhbtqz0v//9j+99EUpJSZFq1qwpbd++XXr22WelkSNHSpLE3//ipFSOjBgMBhw+fBgdO3a0Ke/YsSP279/voV6VTleuXEFCQoLNz0Kv1+PZZ5/lz6IQJCUlAQDKlSsHgO9/UTKbzVi3bh3S0tLQokULvvdFaNiwYXjxxRfRvn17m3L+DIqPR2KjPHe7c+cOzGYzgoODbcqDg4ORkJDgoV6VTtnvt9zP4urVq57oUoklSRJGjx6N1q1bo379+gD4/heFkydPokWLFsjMzISfnx9++uknREZGWj/s+N4XrnXr1uHIkSM4dOiQ3Tn+/hcfpTIYySYIgs1rSZLsyqho8GdR+IYPH44TJ05g3759duf4/hee2rVr49ixY0hMTMSGDRswcOBA7Nmzx3qe733huXbtGkaOHIlt27bBy8vLYT3+DDyvVD6mqVChAtRqtd0oyK1bt+wiZCpclSpVAgD+LArZ22+/jU2bNmHXrl2oXLmytZzvf+HT6XSoUaMGmjZtipkzZ6JRo0b44osv+N4XgcOHD+PWrVt44oknoNFooNFosGfPHsybNw8ajcb6PvNn4HmlMhjR6XR44oknsH37dpvy7du3o2XLlh7qVekUERGBSpUq2fwsDAYD9uzZw5+FG0iShOHDh+PHH3/Ezp07ERERYXOe73/RkyQJWVlZfO+LwHPPPYeTJ0/i2LFj1q+mTZtiwIABOHbsGKpXr86fQTFRah/TjB49Gq+99hqaNm2KFi1aYMmSJYiNjcWQIUM83bUSJzU1FRcvXrS+vnLlCo4dO4Zy5cqhSpUqeOeddzBjxgzUrFkTNWvWxIwZM+Dj44P+/ft7sNclw7Bhw/DNN9/g559/hr+/v/X/AAMDA+Ht7W1dc4Hvf+GYOHEiOnfujPDwcKSkpGDdunXYvXs3tm7dyve+CPj7+1vzo7L5+vqifPny1nL+DIoJz03k8bwFCxZIVatWlXQ6nfT4449bpzuSe+3atUsCYPc1cOBASZIs0+umTJkiVapUSdLr9dIzzzwjnTx50rOdLiHk3ncA0vLly611+P4XnsGDB1v/xgQFBUnPPfectG3bNut5vvdFL/fUXkniz6C4ECRJkjwUBxERERGVzpwRIiIiKj4YjBAREZFHMRghIiIij2IwQkRERB7FYISIiIg8isEIEREReRSDESIiIvIoBiNERETkUQxGiEoAQRBQrVo1m7KYmBgIgoA2bdrYlK9YsQKCIOCDDz4olL7s3r0bgiBg0KBBiu47aNAgCIKA3bt3F0p/CssHH3wAQRCwYsUKT3eF6JHHYISIiIg8qtRulEdU0oWFheHMmTPw8fHxdFcAAD179sRTTz2FChUqeLorRFTMMBghKqG0Wi3q1Knj6W5YBQYGIjAw0NPdIKJiiI9piEooRzkjznz22WdQqVSIjIxEXFycTVtvvfUWqlWrBr1ej6CgILz00ks4ceKE4raV5Krs3bsX7dq1g7+/PwICAvDiiy/i9OnTsnVNJhO+/PJLPPHEE/Dz84Ofnx+aNWuGRYsWwWw2y15z9+5djBs3DjVr1oSXlxfKlSuH559/Htu2bXPYpz179qBNmzbw8/ND+fLl0bNnT5w9e1bx901ErjEYISIAwMSJEzF27Fg0bdoUf/75J8LCwgAA+/btQ6NGjbBkyRL4+fmhW7duqFmzJn788Uc89dRT2LVrl1vu/8svv6Bdu3a4d+8eOnXqhJCQEGzZsgXPPPMMEhISbOqazWZ0794dI0aMwMWLF9G+fXu0b98eZ8+exdChQ/Hyyy9DFEWba+Li4tCsWTPMnj0bBoMBPXr0QJMmTfDHH3+gU6dO+Pzzz+369PPPP+O5557Dnj170KhRI3Ts2BEnTpxA8+bNcfHiRbd830QEQCKiRx4AqWrVqjZlV65ckQBIzz77rE358uXLJQDSlClTJEmSJLPZLP3nP/+RAEjt2rWTUlJSrHWTkpKkSpUqSVqtVlq/fr1NO9u3b5d0Op0UFhYmZWVlWct37dolAZAGDhzo9L7ZBg4cKAGQVCqV9M0331jLTSaT1Lt3bwmANGnSJJtrZs+eLQGQGjRoIN28edNaHh8fL9WuXVsCIC1YsMDmmi5dukgApNdee00yGAzW8j///FPy8fGR1Gq1dPz4cWt5cnKyVKFCBQmATb+MRqO1zwCk5cuXS0T0cDgyQlSKGQwGvPLKK1iyZAl69uyJLVu2wM/Pz3p+2bJlSEhIwNixY/HSSy/ZXNu+fXsMHToUcXFx+PXXXx+6L/3790e/fv2sr9VqNSZOnAjA8vgmt3nz5gEA5s6di4oVK1rLQ0JC8Omnn9rUAYDLly/j119/RUBAAObNmwetVms917p1awwZMgRmsxkLFy60lq9fvx537txBhw4dbPql0Wjw+eef27xPRPRwGIwQlVJpaWno0qUL1q9fj9dffx3r16+HXq+3qbN9+3YAQI8ePWTbaN26NQDg0KFDD92fjh072pXVqlULAHDjxg1rWWxsLGJjY1GpUiW0a9fO7pouXbqgTJkyOHfuHG7fvg3A8qgJAF544QWUKVPG7prXXnsNAPDnn39ay7Kv6dOnj139smXLyvaXiAqGs2mISqm5c+fCZDLhhRdewNKlSyEIgl2dmJgYAEDz5s2dtnXnzp2H7k/lypXtyrJHH7Kysqxl8fHxAGC3yFs2QRBQtWpVJCYmIj4+HkFBQS6vyS7Prpf7uEqVKrLXOConovxjMEJUSnXu3Bl79+7Ftm3bsGHDBrvHMACss1Jefvllp+uVuApWlJALhh62ft46jq7JLs99XpKkAvWLiPKPwQhRKfX444/jvffeQ8eOHdGvXz+o1Wr07NnTpk7lypVx7tw5vP/++2jYsKGHemorNDQUAHDlyhWHdWJjYwFYckiUXJM9ApRdP/c1V69edXoPInp4zBkhKsWaN2+O33//Hd7e3ujbty82bdpkc759+/YAgI0bN3qgd/KqVKmCKlWqICEhATt37rQ7v3nzZty/fx+1a9dGUFAQgJzcls2bNyMxMdHumjVr1gAAnn76aWtZ9jXr16+3q5+YmOh0bRIiyh8GI0Sl3FNPPYWtW7dCr9fj5ZdfxubNm63n3nrrLQQFBWHGjBlYvny59dFFtrS0NKxatQrXr18v0j6//fbbAIBRo0ZZk1QBICEhAePGjbOpAwDVq1fHiy++iJSUFIwcORJGo9F67sCBA1i0aBHUajWGDh1qLX/55ZdRrlw5bNu2Dd9//7213Gw2Y8yYMUhNTS2074+otGEwQkRo2bIlfvvtN+h0OvTu3Rtbt24FYJk18tNPP8HX1xeDBw9GREQEunTpgt69e+PJJ59EcHAwBg4c6JYE1vwYNWoUOnfujBMnTqBmzZro1asXevbsiVq1auHMmTPo0aMH/vvf/9pc89VXXyEiIgKrVq1CzZo10a9fP7Rv3x5PP/000tLS8Mknn9g8igoICMCSJUugUqnQt29ftG7dGv3790ft2rXxww8/YMCAAUX6PROVZAxGiAiA5bHE5s2bodFo0LNnT+u03latWuHkyZMYM2YMvL29sXPnTmzbtg3Jycno0qULvvvuO0RGRhZpX9VqNTZt2oQvvvgC1atXx++//45t27ahdu3aWLBgAX744QeoVLZ/3sLCwnDo0CGMGTMGGo0GP/74Iw4fPoznnnsOv//+O0aPHm13n969e2P79u14+umncfToUfz222+IjIzEgQMHUKNGjaL6dolKPEHKO+5KREREVIQ4MkJEREQexWCEiIiIPIrBCBEREXkUgxEiIiLyKAYjRERE5FEMRoiIiMijGIwQERGRRzEYISIiIo9iMEJEREQexWCEiIiIPIrBCBEREXkUgxEiIiLyqP8HmbSGl/iVf5oAAAAASUVORK5CYII=",
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V5lUyNQXXq0FyJaAK4OZHkfxtHzvYOZgDHFzh+hk8I1edh7c+1mmbZXsvw0evrOAXUVnFYITIw0RRchmIAMCxBOUf0q4UdpWMO1a2BCAdM7TfoJ5wBQBwVHoAI42Dbdo0Ec6jsnDH+voXc0vckGxXiBwU7XNgSisvFzkePjpBUSASFKBjvgiVaQxGiEqRBqH+UDlYQXIzy8+6Pen5umgY4SPbLjd5Uiklq2ScrWxR6kX1LjynzrvnkizaL0P1KlCV42vTczYPjStu9QFU8JM/ZjRaZkQaVQZe71gL3hr5P58mUcTB8ymoUaUyOjSoCo3K8aqUSr7KslQYiFBZx2CEqBRRCYLDypj5g5QHQnWyqzQsjti8klsdomSVDKC8nLqrNgAw5/0fbV4/FlkZsa8XaBsbCCyzbF6VquCcVO2erjltw+9YtNeSm/HfliqM79rJrs3ZpJvoOPtvyxjfeRx1QyrL9pWZacTItccAAJ1q13a4mslkEmE2WMqphwT6cYkskQIMRohKgLPkVFGUIEoSTiXdgFnKcjgzcvZaqnX7tW9OIBgnHPaZm5wKyCenFiUxVWm73DatVMfRWpU3xmGaX63bu80PYtbZjjhSoL9ApOMh1f/BBBWOiQ8oSjoFgGGL5NucyHuAOBISRPx7OcGuTfwtozXtJC0nB2np8oXlMs1GSHdLpZtEESaTfNl0llMnKjwGI0TFzFVyqihJ6DYvutD9XnOwv7QkpzYTzuJ/+QKQ/BKlyjgi1bbbnwo/7BKbFPpaG1yXGcFvscBvCw47bTNm9Qn4+cjf/spv04kk6HX880nkLvzXRFSMlCSnnr6W7PR4YRUmOdUdiamABDXyZgPMUAFO66IClyVl1UJLmpJApIK3RlEgwnLqRMoxGCEqIY6SU81SlnV7Tp8HUTNIPjjoOvdfm9eOCpsn5tt2lZzqjsTUYNzGP15Dra9rZ6+ACRoclyLxrelpu/ZXpCAsNj93T9fM79EAILSK/DFRBC7EAe2fCEOr+kFOk0nrVpbPFSnIx0s+V6QgBiJEyjEYISohjpJT8wcoNYP0aFxNPswIBJCab/ufEizh7o1svKNZi7eetF/Z8stfB21en//oOUCtBWDbp9Jr9pu+EdF3v9FWgcC379q3y19yfUxf+ZLrgCWZ9NdjlvCsWUQoAwSiUorBCFEJyDIYkZlllJ0ZyTKarNsLfvkXwQ6mPFILbBdH0qkjehjxlmYjsNf+WLcCq05rv7cJJgV/Wrq9J3/No/nuasWnWgKPgs4l5iWZMpmU6P7HYISomC3afR7J6UYEemkAmWAk9U5eka/frwC4UoKDc7OrUhWYoKwmxlEFlc5j4bpuSvSpG7iWwhkPovsZgxGiYpSZZURyutFpm3/iMpweLw0M0GKF6RmnbbKgw0/mp+AqedXdaoW4ToZlMilR6cZghKiETOneAH4a+9Lfo9KSLDMiACLVwFNN5c9f9q/8/pKQCS9MNL3u1j6bOJhASTVbZkQA4PO+dRAe4GvXxiSK2H06GXWCg/B8oxBo1M4DDQYiRKUbgxGiEuKj1spW7cz/8N0HawAfvCCf2LnsX2UJoAWLnDmqYBolxOJx1SkIEDHh+SjZvj7deBSxUgh2iA/BCA3Ozegm25eScQ3/eiN+uWDZ7vYA8MV/5NvFJaei/eeWuiuPhAWjehX7svEmk2i9NaNRqxhsEN3nGIwQ3QNHiZPW46IICRKu37iFLRcuwE9nPzMSl68o6IaLwAY3JqY6aheOG/hZNwl64e4tpC3y547JFyhNMvZHzXGu/2QMXSg/rn9i87ZTUoDYGymy7ZLuGCBJlpqojpJTmZhKVLYwGCEqop1nruN2hvN8kCyTEX9fvAUAGPmdgjKhJSRSlYQM6JEp6VFRSFd0TpJUUVG732Jdt9l1E9bZD1kSIAH4M+YaggIzFV2XiO5fDEaIisBkEl0GIgBw9tLlEhhN4e0RH8TDOYvQSnUcr6r/dNn+iPgAtojN3HZ9VzdVJAA6tYCgQH+n7ZiYSlQ2MBghukedGgU7rOwpadKAw5aZh2FPRKDRA/bJmP9ddrpYx+dMtPggosUH3dafBsCzNeWP3bljmRHRAVj+VhOE+vnJthMlCacS76BapQA0CJGvWmu9HgMRojKBwQjRPdKoHCdQ5g9SatfQo0P9B2Ra2QYjrqqhumqnNIHVXdd855uNWH/est25NjB7oHxfCbfuWG/N1AgMRFgl+VkPUZSQYchLTpWrWktEZQuDEaIyrCLSgAz7B/FVQhoAIA0+iqqlEhEVJ/4VInJAFCWnx0RJQkp2FpLvZDq8TZOamZdXMmzVeczDeZfXvdcy7/3Vm/Hh3e29XsOBT9+xa3PIC/hbbIC3DUORA63ia773vX27Q/m+paws4FZall0bALidY4AlG8RyK8bR+ytKjt93IiqbGIwQybhwIx2ZOY7rlZvNIj7efApZBhFf7YiFo6qjd9JzbF6fceMYHXlZvcMajDjzuOoUDngNwTExEl0NHynq+9ujzo//EQ/EzN8ne8xsNiE3/jh5LQ23sxh0EJEFs7+IChBFyWkgAgApmdnIMriudSE/R1C80uCjuG2mpMcyU0e3XbuCfRkVOxq1gEBvL5ftfPRq5osQlROcGSFyokGo/GqO66lq5FYgX/FmM1Tx0cue32z6DpvX9WTauHu2pLdhEoAXAAAPZy+ASnT8wW+AFmaFD7YDgH5N7PclJ1tmRABgwetNUK9yZdlzM41GvP/LKei1ajSsGgAfb/tqtPkxECEqPxiMEDmhEgTZD0WVIEC4e2umkrcOVQLlZyN8AGTm2/6jmFe2ALarabLghbgZvYrcV9S4jTbj/+hl+3anE5Pxxxf/AAAqenmhUoC3bF9emRp4aS1/chy9r0RUPjEYIXLAbLaUIpf70DRJlls0t7OM2HD6NKr42tcPAfICkdxtJYmi95rAWpR2jztoU3D8Z5Nu2rWJu513MyrTaERmpnwxuEyz6yJxRFQ+MRghknHw8i2kZZlwITlD9jbN7aws3M6yfLh+uD6ppIfndkq/g46z/7bblz8N9ZPfzqCCf4JdGyIiZxiMEBVgMolIyzI5bXPm7NkSGo2t6sI11BGuOm1TQX0Ds+5u62CECa6TRd3Fz8d18mxIoF726cVEVH4xGCFyolPDYOg09gmeNw1JwBnLfMJrj1bBw3XtH3MPAO98e8FtY2kqnMOPuinQCs5X+mRAsgYjDwoXcRgyWacFhDjYn3/GZGK3amgdWc2uTbrBgEk/nYSvjzemdW8o+2Ti/BiIEFFBDEaInHBU6l2Vr8hZzQgduj9YX/b8d2AbjNxLafb33huBeKkKVJKI6qobLscOACnwU3TNvx1cc/vZS3hjyUnLOZUDUDfEfqVMeoYBfn6WnBkfrZbBBhEVGoMRIgfMkuMEVilfiZGV6xJw4oSyPIl7S2Btj2/N7fGqegv6YZvD8zNFEcApAMAFKUzRNXeei5XdfyYuLzk122RCdrb97atss/NbWkRErjAYIZJxKTkDWUYzNsYkQqO2v01z+lJqXlsAl0owhWSluQNWmjs4PC4aspFbZ8RRZdiCBiyOcdnm+7/iEX062/56kuvib0REzrACK1EBJpOILKPzvIx1RzNKaDSlR2gl+byYXIHeanjp+f83RFR4/MtB5ETHqGD46O1zIOb8eASX8r3uWVf+/HWeWXRTKC0rAf/t0VD2WKbRiMXbrqBygD/GPVsfPlr798JkFvFrTCK8NPxzQkRFw78eRE5oBAcJrPm2HwAw6w35BNB1CpJTlSawNhn3AyoI6QCATMkLB2b0k22XvwKro/5GL9uIn05btsOqAm3q1JTtKzPTiA0V0gAAXmoNvLzs/2SYTCIDESK6J/wLQuTA9du3cCgxUXY24Ha+7Qu492qokiRBMlqe8FswmMj1lvp3vKNdBwD4VXwM1UfK1w+RjLZ5HTM32ye7xsTlbRsMlhUxcjJNRmtOiEm0JPQWZBKZM0JE90aQJKnUP8c7LS0NgYGBSE1NRUBAgKeHQ2VcZqYRUVO2lNj1JEnCtW/HIif+lNv7jhjxE1Q650XPvAE8VEv+4XaQJKQbLPkzLzevBm+ZwCy/Lo1DZWeSiKh8Uvr5zb8aRAUcSkws0etJxpxiCUT04VEQtPJPE84vMsh1Gz+dGnoXt2Iq+moZiBBRkfA2DZETU7vUR8MI+xLnPecfKpbrNRj6FQ74j3bZbpXpaXxkesVpG0GrhyAIGNrGfmYkLi4bGy5atkc8VxstqofJ9iFKEk4mpcFLq0FUaIDTJ+0yECGiomIwQuREZIgWD1cPddnOUdKpkuTU/DkigtYbvmHy1VzPXbckryZIlbFC7Ia4Wb0UXXP0s0/btdlzIQ4bLh4HAHjrVPDzlS/hLooSfL0sxzQaldNghIioqBiMEJUid+ADDN0ve+wZhUmyRET3GwYjVO7IrQjJzyzm5XSv2HgcO6sfd9nnvaymUSOvwFod4SpqjfsVooJ0LqXX/Peyfan6i0nyq2eIiDyBwQiVKzvPXMftDKPTNucTb1q3tyQAUPbYmSLzQ6Z1e4N+ApqLS5ABb7f1/8KCw27ri4ioODDjjMoNk0l0GYgAwMZ9JbuaxtOahcsnrxIRlRTOjFC51KlRMDQq+Vj89z1HEHt3NiQCQMfH7dt883fxjc2d2oYDQ7o2tdufbTJhxc7LCKpYoeQHRURUAIMRKpc0Kvky7wCQP0ZpWA14v7v9Cphv/lZWwl3JapoHRy6zeR0zuSOg9y9SXwDw7rcb8f3dNJeQSkCzGvYzH9nZJvxeMdVuPxGRJzAYoTJFFB0XFBZFCaIkIS0zB8l3Mh3OjGTn5G1vvgo0V5Aoei8JrAXDjoaT/lCUM/LFtt2y+0/kK/VuMlkCj4KyTSaIsLxXoig5fN/E0l+gmYjKAAYjVGZcuJGOzByzw+MmUcTHm08hyyBi/q6LECBfM+NuOY+81+4c5F1VcRuLdLMAADqkQf6Zuc59vvWOyzbR54Gpm+yru0qShNuZlvyZk9fSoNfyTwEReQ7/AlGZIIqS00AEAFIyspFlKNmHulUXriEQGQCAJKkSbqACAEAnGPGQ6gIAIENlO/sgOQiSiqJRZKDT4wFeamg1apf9+OjVLHhGRMWGwQiVOQ1C/aES7D84r6eqkZsmsnJgM1Txln8mS7PpO2xeV5Vpo3S25P803+N5taWI2TTjy1hk7uK0/TExEplw/mC7XCOesc8rAYCrV+9gzd3JkFeeqI7mEfY5I6Io4eS1NGg1ajR0UeYdAAMRIipWDEaozFEJguyHpyVAseyv5KVDlUD7Z87I2S+TKKo0mXTjhNny7XLSgXOWJ1iOXPYPgE8BAG8aRiN2lrJk2OFPPynb7u9LV7Hm1FEAgE6jgpeX/T9zUZSst2ZUKvn3i4iopDAYoTLFbBZhMomyH64mUQQgITvHhH8TElA11VdRn46SUyVJgmS0ZLvmf75Mfp9rzchQW27DGIxG2XaSsYl1Ox0+ihJmAeBEvPz8zJUbebVUREk+OZWJqURUmjAYoTLj4OVbSMsy4UJyhuxtmtuZmbidZVlZMnjF2Xu6liRJuPbtWOTE2yeH5veCzasld7+cU3oLqPOXB1y2uXQjC/66NIU9EhF5BiuwUplgMolIy7JfwppfUpL71sVIxhyXgUhh6cOjIGjl81iKqnalSk6PMzGViEoDzoxQmdOpYTB0MitE9F6ZwL8pAID3OtZC01ryK00K+yyXakNXQdDKJ51+rp2HZ9X/AgA+Nb6IJebnHPYjaPUQBEE2YRawnTF5MgQY++Kjsu3ScnIwfvUJ+Pv7o16IHwJ8HQc4DESIqDRgMEJljqPqqvmLnNUI1clWJrWwDUbkklPz534IWi/Ezeol29PGCQvhq7Z84OsELeI+sm9XMCdFLmEWAEYs3oifz1m2K/sDjcLlw5a09Bz4+1tW2jhK5iUiKk0YjFCZYjKbkW0wySZt5pjz6pDMXHYaP0ecVtSnkuqqjtrM0xa+rw/Xy7c5Fpu3nZNjCTrkpBkNLq9BRFSaMBihMmPfxWSk55hx/U4O1DKl3i8nJFi3zwI4e6UEB1cISh7CtykOuLLUdQIrEdH9gAmsVCZkG0xId1GBdc9V5wmu95OaFVxXTQ0O0CPAz70JsURExYEzI1TmjHymNgL09h/CB/bHIf+C3k4R8uf/rmDGRIO8wOaQ/i346vLyMp4xfIKrkqM0VNcGPi6/PyHBMiMCAJN61ccjoaFO+2EgQkT3CwYjVOZ4qTWyVUfz74kCsGCIskqncgmsnUd9gkt3t70FA7zz1TXZM6YNUCkSAND73VPYam4GAIiRasr2VfB673eXH9e/lxOw6e5KH3+djsEGEZUZDEaIisBHkE8eLWi/1ABgsVMiIqcYjFCZcudOGmJTUhCQZT9rkJ1v+ySUrWyBg3bN820nShUxKGe89fXlT47BiJOK+yrodGKy7P6rN7lKhojKJgYjVGYcj08FAPSc92/u8/BsFFf6qlHS4Dyqua2/Z7/4x219ERHdD7iahsqE2JQUTw+hRNWvUsXTQyAichvOjFCZs/CVh1C7qv0Tedt8Fu2B0RROPQBfDH9M9li6wYAPfj4Nfx+fkh0UEVExYzBCZU7VQA1qBlVw2U5uZQugbDVN79GH3NZXn6kb8U+GZbuCL1A/VH7WIz3DwECEiMokBiN0X5Ar725zXMo7/ufJkzh786bLPu8lgbWCGG7d/tD0CqIV9vXe9/btYjLyts1mwGCQL95mEJ0XdSMiul8xGKFS78KNdGS6qK567nreJ/qc7ZmAtQpI8biFvCf+/iU2Vpx89e1R58fPZQMLd1+UPWZmMEJEZRQTWKlUE0XJZSACAIfPny+B0RS/JxoGuGzjq1NBp3VdDp6I6H7BmRG6bzQI9YdKkFmzC6BKRR1yF+92bqBFm4fsl9qO/r54Z0uU6NfEft+ZM8C/d4ugtGschM4NasmeazCaIeIStDIPASQiup8xGKH7hkoQoFLJByNCviDlgTAdXmgSZdemYDDiLOk0AOnwRxYAIHpcO7s2j0/5HfkfYaM0gfWjl+3bbThxBv+usszsaNQCdDrHsx4MRIioLGIwQveFrBwjMrOMDmdGzMa87fXbMpCS4jqh1FEC65vqjXhP8x1Uwt2k2Nn2bbZ5SfC7uz1BsxI1x3m5vB4A7D5/2W7fpSt5tWFNogiTSZQ91yTK7yciut8xGKFSb9Hu80hONyLQSwM4CEZiTuclsF4GsPxg0a/XR70zLxBR4BHVWdeN7nrtmxNOjx88dxuCKVH2WP4VQ0REZQnnfKlUy8wyIjnd6LLdFTcuNJlkGoChhrcVt19q6ui2az8QWtVlG39vDTQa/tMlorKDMyN035jSvQH8NDrZY6dikpD/Bkj/R+zbKJ0t2Sc2BCDht+zHHbYRDdkAXgQA/CK2VhzVrxjYyG5fcmYmJv54Ed5eWjzXIARV/OULm4mihJikNGiYN0JEZQyDEbpv+Ki18PHRyh7Lv7c2gMkv2ieKLj/ouhoqkJtLIjhtV33k2kL0lefJ2jXs2iSnZsLHKx4AoFGpHM56iKLEQISIyiQGI3RfMBgMSM7MRLZJ/tm7Ofm2z0NZddV7qcBaUN9pyvpKuZNtv89gUHQuEVFZxWCESr3DV27DZBbxwoJ/oFLJL3u9XsJjKmhvmrJ2Lyz6x26fKHGVDBGVbwxGqFRLzsyEyVyyH9bTNF8jWEgBAMwyvYgYqaZb+pXPdskT4K1GBV9lS4SJiMoSBiN03/j69YcREeAre6zZ9B1uu04L1UlEqq4BAJaanwUUrKht6aCKe/4Zk1cfE/B2+8fs2phEEb+fuAY/b1fhChFR2cRghO4bFb20qBIov9KkILmE0oK5H46STi9NHOGyXcEE1u/Gy/f1yaatmL/bkhOi12tRwd9+5sNkEhmIEFG5xtR8IiIi8ijOjJBHiaLzeyC5VUdNIrD78mXEpaYq6vdeVtPs0AGSJCHTCJgMBrtZEACQjLarYlb8e1S2r7NX8lbKmM1mGAz21dlMomj9PkVRcviesAIrEZVVDEbIYy7cSEdmjvPSqQm3M5D7qJaJP10FcLXYxyVJElovy8TeK2YAkxSdYxmbc/+cNmOh90WnbVjUjIjKI/7VI48QRcllIAIApxPiS2A0trKM0t1AxDV9eBQErV5R2/qRQU6P+3trFAUiPnq1w6cXExHdjzgzQh7XINTf4dN4DyflJXwObhWCxxtUkW3n6gF0AFAZqfha9xkeFC5hiulVrDR3sDk+SbMcr6j/hMGYV1it17D3sF/d1GGfglYPQRAw5YVqssfjExPxVbQlsOnRLBxNw0Ic9qX0eTMMRIiorGEwQh6nEgSHH7D5g5SwMK1sOXUL22BEbgXMe++NwMOq8wCAqkKKfZtNO4H9ZuSvhyppfBD3WS+7vgrmm7zWrInsqA7FVcVX0YcAAFqVCjqdfNE2IqLyjMEIeZQoOU7YBID8OZtbt1/BteRkRf3KJacOVOcVjX9bs96uzQeaWAwo8C/ihFRDUTLs+Wu3ZPcnpLDUOxGRKwxGyGOupmQi22DJTnV0m+ZWcpZ1e9dNYNeOLNl2hRVtbmi370tTDywzd4TZkANgKAAgC16KEqs6fL5Pdj8LvRMRucZghDxCFCVrIOLM5r3KZkIKKw32xdNuIhA3pUCIkv3D7NyhdqVKxdIvEdH9jsEIeVyDEH9o1PLzD1X9gVM3LdvhAHq29ZZt96WbZkyKogaAxSNayB5Ly8nBmB9i4OPFZ84QETnCYIQ8zlkCa/67N3WqAKM6tpNt9+UO16XeP3xPWTn4gkXO5Np1HrfRmjLrD6B2sPysR1p6DgMRIiIXGIyQR2UaDEjPMjisr2HKdydnZzJQX0EyKeAogTWvsmq22SxbWRWwr6763vf2fZ3Nt20AkJ4hn6iabmQCKxGRKwxGyGNW/hOLtEwTfj2aCEGQD0b2FVikci/ZHJIkofXS3MqqO+9+ufatfKV3q7MA/vPtIflrKnnkLxFROccKrOQR6VkGpGWaXDd0I6PRpLiyKqC8umqEv+u+Kvtq4efDJ/MSEcnhzAh53MwXH0QFvfyHfqOpW21eO8q+KOyMyXcjnsD/YbjTNrnVVfvJ1DM7cDTvVs1Lraqg/6PyVVpFSULM9TT46RiIEBE5wmCEPM5Pq4Wfr7IP69MOkk4L5ojIJZ0OH5MX2KRoghD3iX1lVbm+PnrZvq9FNQ5g2obrAACtTuVw/KIoMRAhInKBwQh5VOqddPybkIAKClecKKmG6qidaH4CwBcAgOmmvvhYYV/rj5+22xd7JS8xVXJSRVaUmDNCROQKgxHymPM30gEAA5ee8vBInHvn2wtOj9+8lo6YhLQSGg0RUdnDBFbyiH8TEjw9BLdpVr+uyzY+ejWftktE5ABnRsjj3n/2ATwUGSB77IUFh0t4NPZm93vAbt+1tDRM//UGvDQq1A/2R7WK8uPPxUCEiMgxBiPkcTVDdWhWI8zBUdtgxFHV1JnvDcRAzSZ4wZLL4aVV27XJyMyC393tUNzEPzP+Kz+eArkk3R+sb9fm6s00fP67pU69Co4ryBIRkWu8TUP3P5MBwzTrUEHIgJdghJdgBEzZ9l/5jNb+4KHBEhFRQZwZoWJjMjl+Kq9Jyju2ed8pnL12TVGfcqtk9DBgja46/KQs1FIlKernN3MLjFG4muZ6SobdvptZLPNOROQuDEaoWOw8cx23M4wOj5+JzQs+fjoN4PQth21dyYEOXQ0fIQDpCBJSHbYzG3IADAMA7BCbKp4W7PhFtN0+UXIcaBERUeEwGCG3M5lEp4EIAPyzP8Xt102DH9IkP4fHRelenmwjz0ujQlV/X7f3S0RUnjAYoWLVqVGw7BN5o48dweG7tcSaBAIdW1WSPf+TTUWfMXGHJysBM//bym6/wWzGsr1xCPB2/ewaIiJyjsEIFSuNSgWNxj4YyR+f1AsHBj/ZQvb8Tza5LvMOKCsHX33kWkV9vfXlRvwRb9n29gaqVrCf+TAYzAxEiIjchMEIFRuTKDpMYhXz7f7xJJA+v+hl3lUQ8aAQa319SqquqGz8lzv2yO4/d912nHLfg0lkzggRkbswGKFicSohFRkGMwQAapnbNGev277eFFf0a+lhwK/6962vH85eiFtwXoQMAD77w3Gya66EZODXY4l2+/nMGSIi92GdEXI7k0lEhsHstM0xz6aCKNa4caDT4/7eGtnbUEREpBxnRqhYPRsVDC+d/a/ZiB+P2Lx+rrr8+fcyY+LKqI7ygcaxY6nYencypEHNAHRpHGrXRhQlxCSlySbnEhFR4TAYoWLlKIG1oPmDi56YCkMGMA0u2xVMYH27bWvZa64KOIata64AsCTayo1fFCUGIkREbsJghIqNKIkwmR0nsebXWGE1VLnEVG9k45QXIEkSMo2A2ZBtF3gAgGS0rTPy96Wrste4lmCybouSBFG0zw9hzggRkfswGKFiEZ+SiRyThF9jEuGlcf1rlnaP15MkCa2XZmLvFTOANxSd89JXR122uX0zGzEJ9zo6IiJyhvPM5HYms4gcU8nOHGQacTcQcU0fHgVBq6xGyAMhIU6P++jVfGIvEdE94swIFatOUcHw89LZ7S+YwOpoIW5R5iQaDV2AVG2Qw+OCVg9BELD6rSayx8/evImJP12FAKB2VT/UDXa8TJiBCBHRvWMwQsVKIyhLYD12D5VVYchAxgd5L1VaPeJm9XLZ1+OR1WSvWcnbGwIs+SQqgQEHEVFxYzBCxSY5+Sb2x8fDT2c/M1KQs4qpvshClbtP433q3cUAgDuSj7WwmTey8W+BeOdRBQmxV2/Kz7vcuOP8IX9EROReDEaoWOy7eBMA8MaSk/fUTyvVcSzRfgq9YLLZv9z0DCaZXnd43g0Ffbf/PFp2vwSWeiciKklMYCW32x8f77a+uqn22gUiBRmgxVjDf6yvM+HllmurBaBagOuy8kREdG84M0LFasKzdfFgTR+7/b0XHlF0vkbIWyEjSgJEWPI3xHxxtBlq/Cq2BDALAJADHYJl+so/W+IDYMuIVrLXzDQaMXX9Cfj6+ikaIxER3RsGI1SsIsM0aF4zXObIEZtXsompANZNmG/d/tzUC6M+suSMvH73K1fBImcHZPp7aNxGpNzd1gGoVll+1iMz08hAhIioBPE2DREREXkUZ0ao0OTKo9scz1cq/Y9/TuLs9esu+3S0mmaWVlm7gkYusW+Xkm/bBCA7Wz4XJdvsPEeFiIjci8EIFcqFG+nIzHFe6fRiUrp1+4cYADHJxTwqe+vOOj+eDmDqplOyx0TwuTNERCWJt2lIMVGUXAYiAHDw8JUSGM29iVTQppKfFl5ejNeJiIob/9JSkTQI9YdKkK9MWqEygCTL9sMVgQ6tqti1mfGbstmS5aYO2Gp+BABwTpJLhJXXs679vi1nLTMiAPBMCzVGdmwge64oSoi5nqboAX9ERHTv+NeWikQlCA7LpOePUeqGA4NaP2bXZsZvCsq8w5IjclSq7bJdwdU0s96wb/fxxi1Y8Jeluqpao3I46yGKEgMRIqISxL+4VKxWnwCyv3GddKo0MVVpu8X/HLLbd/JqXpl3SZIcJuLmT8AlIqLix2CEit368yV/zak/Jzo9fiPJhJiEojwTmIiI3I0JrOR2q094egSuPd6svss2Pno1n9hLRFQCODNCxa57bft9SmdLBqg3o7nqNADgV3ML/C7a55/ImdAj1G7fjRs3sHCPpYZIg6r+iApx/twZBiJERCWDwQgVu9kD7ZNJ149TlsC6bsJ8PKfeDwA4JVZXnMD65mMP27U5mXADC/dY+lLBcQIuERGVLAYjVGg5RhOys02KP8wbKUg6dVaBVZIkZBqBHKPRLujIJRmzbV7H3kixa5OUarTbR0REnsdghApl9YHLuJluRCUfLQQHdUYKSnfdxCFJktB6aSb2XjEDWHn3y7X2n0fb9yXew0CIiKjYMIGVFMvONuFmesnOLuQYzXcDEWX04VEQtHqnbdQAalaocG8DIyIit+HMCBXJ6I514KPRyh77dn+czWs/mTZFmS2ZNPxlLFH1ctpG0OohCAL+HNHK7lim0YgPfz2FAB/fIlydiIiKC4MRKhIvlUbxc1tOyCSd1hy3ESqIiBCuI0Xyw9EZfWwbpN8AslOwb2ZevRCdVoO4T+WDkYI5JzWDKti1ycw0MhAhIiqFGIxQoaXduYO41FT4ZMrPjBQkl5yqhwHrdRPRQBWHqcZXUHOc7fzJBM1KvKn5HY1VttVQn1BYgdVksk8QMTFphIioVGIwQoWyNSYJZgBd5v4DAUVfGltfiEMDleV2Tj1B2VN+s+AFpc8D/vWYfQVWo6g894SIiEoOE1hJsbjUVLjr41yTr6feml12x81QIUfSIEfKi5c3mpsr6rumi+PeWjU0Gv7qExGVFpwZoSJZ8tojqFHZW/bYkzP3FKqvJKmi3b5ppn6YZuoH0ZAN4AUAQDIqooaDPvLPmFSrCHRpbF+B1WAwI/52FtQCAxEiotKEwQgVSVCABtWrBCpqK1c1tde7Z1y2Aewrq/7loN1rn2zE7luWbZUA2ZkPUZQYiBARlUL8y0xEREQexZkRKpK9V67gVlaWorZyq2keEVy3kTNryw7Z/edu5W2bzZZbMgUZzExgJSIqjRiMUJFMWZcAIKHErztne6bLNkdSgYW7L5bAaIiIyB14m4YU23tF6cJaz3qkmvPjQQE66HTqkhkMERG5VKSZkfnz5+PTTz9FYmIiGjZsiNmzZ+OJJ56Qbbtz5060bdvWbv+pU6dQv379olyeSoH/tayCJxqFyR7ru+hYsV13WDsf2f0HD2YiOtWy3bppVQx4tJbDPhiIEBGVLoUORn744Qe88847mD9/Plq1aoWvvvoKnTp1wsmTJ1G9enWH5505cwYBAQHW10FBQUUbMZUKQSE6tKwV4eCobTDiztU0IzvYB7YA8E3AQUSvTwIAqNQqBhxERPeRQgcjs2bNwptvvomBAwcCAGbPno0//vgDCxYswPTp0x2eV7VqVVTgk1JLPVGUHB6TkHds69YEJCcnK+pTLjm1kaDFJXNVZBkl3EQAmhcIOqzXNGbbvN55Lla2XWKCSdFYiIio9ClUMGIwGHDw4EGMGzfOZn+HDh2wd+9ep+c2bdoU2dnZiIqKwvvvvy976yZXTk4OcnJyrK/T0tIKM0wqogs30pGZ43jFSfK1O9btfXeAfbsNRb7WcTESDZZqkRN/6u6eFxSdN2BxTJGvSUREpVOhEliTk5NhNpsRHBxssz84OBhJSUmy54SGhmLRokVYu3Yt1q1bh3r16uHpp5/G7t27HV5n+vTpCAwMtH5FRDi6HUDuIoqS00AEALZFp7vtepIxJ18g4po+PAqCVq+o7ZM1axZxVERE5AlFSmAVBNsiEZIk2e3LVa9ePdSrV8/6ukWLFrhy5QpmzpyJJ598Uvacd999FyNHjrS+TktLY0BSghqE+kMl8/Os7A/g7uRIFQC9n9TJnj+/kDMm1YaugqD1ctpG0OohCAKWvdlQ9vj5mzfx4fqke3h0HxEReUqhgpEqVapArVbbzYJcv37dbrbEmccffxyrVq1yeFyv10OvV/Z/weR+KkGASmX/sZ4/PqkbAIx97hnZ8+fvts0RkUtOzZ+YKmi9EDerl2xfBfNN2tSpKdsuzN8fAuRn54iIqHQrVDCi0+nwyCOPYOvWrejRo4d1/9atW9GtWzfF/Rw+fBihofYPMiPPM4kiTCZRNhjJn9u6Nw14WmHVVLkEVj3yZk/ChRuKK7Am3Za/VXQzw6jofCIiKn0KfZtm5MiRePXVV9GsWTO0aNECixYtQlxcHAYNGgTAcoslPj4eK1asAGBZbVOzZk00bNgQBoMBq1atwtq1a7F2rfzqCfKcfy/fwp0sEy7eyJC9TRN7x/b1hXu4VpQQi/N3t7/VTUM7aYGi856ZHS27XxS5moaI6H5V6GCkT58+uHnzJqZMmYLExEQ0atQImzZtQo0aloe7JyYmIi4uztreYDBg9OjRiI+Ph7e3Nxo2bIiNGzfiueeec993QffMZBJxJ8v5B/r9cBNErQJC/Pw8PQwiIiqEIiWwDh48GIMHD5Y9tmzZMpvXY8eOxdixY4tyGfKQTg2DodPYFw0b8eMRm9cPODj/XmZMXNn6TivZ/Wk5OXj72yPQ6ZhrRER0v+GD8siORqWCRuN61fc2B1VTC+Z/yCWwdhvlukqrXF8hFeVnPXzStQxEiIjuUwxGyEa6wYCUzGzoclyXU1eadJrb7gEhHr6wVFRtrIrFhnxtWirsKz1DftlwuqnoBdiIiMizGIyQ1Y//xiEjx4w/Y65BpXL/s12maJahldpSQTVDkPBRvmMJCvv4z7eH5A9IjsvYExFR6cZghAAAKZnZyHBRgVWpmkIidLAkwyZIlZEO+Sft5kqXvN1yXQCo4quFn498MTYiIiqdGIyQnYWvPYyqPvYVUR/6aJuy87WzUV91BQDwpmEUtomPAADuwAc3JX8AQIYkIrec6xxTD4Q5+E3MP2NSH8DX/R6WbSdKEk5eS4OvnoEIEdH9hsEI2amg16KCv/Py7IDjpNPTE//PQbu89k1HrkXuw/G2iI8izkFfXd7diON378BoBcDPVz7YEEWJgQgR0X2qUA/KIyIiInI3zoyQjfQsIy7evo10g+vVKY5W02zWWR6emGkEjAaDzXNocknGbJvXk9fK93UuX16qJFlmQOSITGAlIrpvMRghq9tZlue79P3qKBw8hFkRSZLQelkm9l4xAzZrZhxbesB1m+sAYhLSij4wIiIqlXibhgAAF2/fdltfWUbpbiDimj48CoJWWbGyF1r6u2zjo1fLPuSPiIhKL86MkJ3ZvRuhUbUAu/3tZu0tdF8vDxuDPerHHB4XtHoIgoDXH5U/fuAAcOLudoXK3mgYZj+u/BiIEBHdfxiMkJ2qFdWoVbWiy3aOVtMcGjfGuq3R6hA3s5ddm4L5JpN6yfe1KPQATmy4bnkhMNggIiqLGIyQnT8OHUXM9esu2zlKYF2nsF1+x65ek91/66bR5blERHR/YzBCdpYeAHAgsUSv2XXuvyV6PSIiKj2YwEoALLMhpV1UcLCnh0BERMWAMyNkp0U1oP2joXb7p/6sbLZknqkbgFMAgLNihKJzNgxtJrv/77g4TNvg+pYRERHdvxiMkJ36ocCbj9k/A2bqz7a5H44SWKuPzCtoloAqsqXeC+aRNK4mP+uRlpMDS4URIiIqqxiMkJ2lB4AbN+STTiVJgmTMAQDZyqqAfXVVJQmsJxNuyO6/ctN1JVgiIrq/MRghWb/F2u+TJAnXvh2LnPhTbr/ec3P2u71PIiK6PzCBlQAoK8cuGXMKFYgUprqqElFBQW7ri4iISg/OjJCszjXt9204m7ddbegqCFov2XOHan5GVdyGXqvGCjEOp6QaLq+3aVhz2f23srLwzqoYeOndF9QQEVHpwmCEZM0dZJ90uiFfjoig9ULcLPvKqgBweuIk1FddAQD8aWiG36cPtmtTMI8kKkx+1uNWWhYDESKiMo7BSDmRmVm4SqZPKEg6dZSYulmnrF1+6RnyiarpJlZgJSIq6xiMlAMfbDiBpNScQp1zpZjG4sh/vj0ku180K3v6LxER3b+YwFrGZWYaCx2IlEZ+Xmr4eelcNyQiovsOZ0bKkQ+7N4CPWit7bHNMks1rubqplx30O0f7Jbqq993T2L7uZ19kDQAMZjMWR8dCr+WvKhFRWcW/8OWIj1oLHx/5YKSgv2SqphYscmatwPrTWuCEfD9GaGQrtRbMI/HzlZ/1MBjMDESIiMo43qYhxVqqYqzbr6t/d9n+rBiOg2Ld4hwSERGVAfxfznIiKzsLt7KykG0yKWovtwKmj5B3K6e56rS1TSU8Ax/hSZu2oiQgEZUgQYXRy1yvpjGZRPn9ovx+IiIqOxiMlAN7z9+AwSyhz9f7IRTDZNgtBOCW5Pj4T6dd9/HrMfknAouSk46JiKhM4G2aMu5WVhYM5tL9gd6ksus2Ad4aaDT8dSUiKos4M1KOLHr1YYT6e8see3ja9mK77gv17fflny2pHQR0aRwqe64oSjiZmAa1moEIEVFZxWCkHAn00qBSgHwwUpDcCpj/G7PRZRvAPt9k5gD7dsLyjVhz95l7KgEOZz1EUWIgQkRUxjEYKSeyTSJOXL+OlOxsRe1lE1gVtJGz7MARu30Xrik6lYiIygEGI+VA9t2VKoOWn/HI9T9YG++R6xIR0f2B899l3Inr1z09BJceeyjS00MgIiIP4sxIOTLhuQfw2AOVZI91/vJAsV33g17hdvtiTsZbc0aIiKh8YzBSjoQHadAovKqitu5MYB3w6EN2bX7S6bDm1CVFYyEiorKNwUg58sfeM7jg5LaNJEmQjJYn/BZ8Dg0AdMlXDDUDXooTWPfH2ueMXE00KDqXiIjKPgYj5cjP5wCcuy17TJIkXPt2LHLiHd87mZ9ve7Txf1DJP9vOTu+FRxSPkYiIyh8msJZxf+xVtoJGMuY4DUTy04dHQdDq72VYNpqH2+eUEBFR+cGZkXKkoS/w3JMVZY99/Eves2GqDV0FQevlsB9Bq4cgCIqv++Ogh+z2xaWmYvT3l6BTK++HiIjKJgYj5UjdMGDIUy1lj338S16OiKD1QtysXnZtCuaIKE1gbV7TfuYjJNkPOnWsqyETEVE5wGCkHPn5HJD5pbKkU7nkVD0M8IGlgqsJGsUJrCl37Ku+phlMACy5KqIkQRTlH+bHp/YSEZV9DEbKmT/uoRhqb/VOTNUuAwBsNz+EN4xjFZ33wqJ/7PaZzCZroHH2Wjru5PB2DRFRecUE1jLu53OeHoEDdwMRjSAgQO86GdZHr4ZKxYCFiKgs4sxIOdPRwcKV34ux/thP/33Mbl9Kdjb6L/kXWo0WdYP9UMHPccIsAAYiRERlGIORcuart+WTTgsWOZNLTp3w3haXbQD7fJMK/vKBhlajBQCoBIHBBhFROcbbNERERORRnBm5z6Wl5xSqvdIVMLntRmp+xLMqy0P0pmpts19fmaGsL7kxphlZDp6IiCwYjNzHBi4/gGtphQtG5EkIxi1cuftKDTNyF9QGIwV1VfZLcEQI2JOirPd+S+2fCCxxyS4REd3F2zT3qbT0HDcFIoAKEnZ6jbK+DkKqy3N2ig+55dqVfLUI8HVfaXkiIrr/cGakDFjwShMEaOWfWtf4wz/vqe+l5mexWXzUZt91qQJipJpoXUH+nPwzJk28gJWvP2rXRpQknE66A19vhU/bIyKiMovBSBkQoNUhwE/Z7ILsChjRjIz3XbcrmG+yapz8apreUzZif6ZlW6+C7NhEUYKvt3tmdoiI6P7GYKQUc1QiHcgrk24ymZBuMECVoWxprFwCqwoijqtctyvosz+2y+6/mKloKERERAAYjJRaF26kIzPH7PB4ZpYRcTfTYTQDw384Co265H+UX+7IKvFrEhFR2cME1lJIFCWngQgAZBgNMJoBlQCU5nJh7dpV8fQQiIiolOPMSCnXINQfKsE+3EjyUUGtAgAB03o1Qoivj+z5jaZuLbaxvd3WW3b/P/9kWXNGiIiIXGEwUso5KpVuCVAs+/20Gvj5KluV4s4E1lEd28leY6HvP9j/W7Ki8RARETEYuc9l5pjw09GjCPDzU9TenQms28/KP10vMclk3ZYkSTYRV2TRMyIiuovByH3sTo7lQ3/m5hQAKSV+/TeWnHTZJjHFiJiEtBIYDRER3a+YwHqf+unoUU8PQZGm4dWcHvfRq/nEXiKico4zI2VA1ygfNIuqJHts4k9XXZ4vAfjE2BvAYgBAOrwUXXfJG1Gy+89cu4aPN94EANQK8kHDsACHfTAQISIiBiNlQN3qOrzWrInssYLBiGwCK4DqIw3IC0Z8EKcggbVd3UjZvqr4+ACwBCOCwICDiIicYzBSiokOkj8BAPl2Hz+egu8CjjvsR5IkSEZL6fXqI9fKtzFm27xWksB68fpt2f2JqQaX5xIREeViMFJKXU3JRLZBBADZOiO3bmRYt/+IB/74MU62H0mScO3bsciJP+X2MT7z+V7Z/WYulCEiokJgAmspJIqSNRBx5ORJo6K+JGNOoQIRfXgUBK2yh+65IgCoVbGiW/oiIqKyizMjpVyDEH9o1PYxY2BlAPGW7YbeQL8u1WXPH7fqrHW72tBVELT2yakCRIzWrAEA6LRqzDNnIg2+Lse2dURL2f3pBgPeX3cSvl7yFVqJiIjyYzBSyjmqwJr/zk1EZaDvww/Knp8/GBG0Xoib1cu+kWgGpgy0vlxm7oRjM3rbNSuYR1KrqvysR3qGgYEIEREpxts0RERE5FGcGSnFTKIIk0k+dyT/3s1XgR4TXK9+ARyXg7/o5bqd3fgcjM0kOc93ISIiyo/BSCl1KiEVGQYzBABqlf0EVmKG7evDyvJZ3erXY4my+3NMJtn9REREchiMlEImk4gMg9lpm+PyJT4KRQdLBKNC8cxk6DWCbPItERFRfgxGSrlno4LhpbP/MY348YjN66Za+fMzjJdxxUHfB/T/Q6CQWeSxdWkcKrs/O8eEI1dSoBYYiBARkWsMRko5jUoFjcb1h/rPU+XLvC8cuxhb724H4xYOzPhP3sEZWiDb/hwDNLJl4wvmkTgal8akYiBCRESKMRgpxTJNRtzKzIKXwfWPyVHC6STklWZ/SbMdNceFWV8f1RsRWGDV8EZzc9xEIN6Y5TqB1eDgVpLB7PwWExERUX4MRkqpzScSkGWU8Pf5m1Cr1MVyjfY5M5H/ITdGaJACfwDA9uuuz1+4+6LsfhGsB09ERMoxGCmFbmVmIctY/B/oN1ChyOfWUhAfVfTVQqcrnkCKiIjKDgYjpdw3Ax5GqJ+P3f6Hp20v1uu2q2q/L/9sSVQEMOjJWrLniqKEk0lp0GoYiBARkWsMRkq5il46VApwXVpdLuEUAJaOXaCoXcGckyUj7dsNW7QRG+7emVGp4HDWQxQlBiJERKQYg5FSzGw2IzYlRVFCqOMEVmXtCvrsD/uZl1MJik4lIiIqFAYjpVSm0RKA9F10DApW9rrdlzuySv6iRERULrEYRCkUm5Li6SG49EK7Rp4eAhERlRGcGSnlZr1UHw+HV7bb3+az6GK97ttt7fNULl/OsuaMEBERuQuDkVIuJECHmkEVXLZzdwLrqI7t7NrsPn8ZGy6ecDkWIiKiwmAwUsr9eeQYzt686bKdo8TUicgrsSpCUJzAeuzqNbt9l2/kVXMVJQmiKF8LRZRY9IyIiJRjMFLKLdkPYH98kc//wDQAwG8AgC9NvaDSKTuv69x/nR6PTc5CZe+0Io+LiIgoFxNYS6E/jxzz9BBcql2pkss2Pno1VCrBZTsiIirfODNSyrUMBzo8Hm63/4O1RZ8tUWLD0GZ2+25lZWHkqhh4e3mhfog/Kvk7L8bGQISIiJRgMFLK1Q8HBjz6kN3+gsGIo8TU6iPXKmpXMJekcbVguza30rLg421ZTqMSBAYbRETkFrxNU8apIMpuExERlRacGfEAR6tQcuVfjLJ0P5Cc7HoFjMNy8JrleOPu9tuadag5zv6he3Kys032+8z2+4iIiO4Vg5ESduFGOjJznD9rJjkjb1sCPFJobOqmU3b7DKLrZ+QQEREVFm/TlCBRlFwGIgDw68kSGMw98NKq4KVhHEtERO7BTxQPaRDqD5UgnwAqwDIjkqtrLfs2xT1bMuG5Bnb7Mg1GjE0/Bo2avzZEROQ+/FTxEGerUfIHIyoAc/5rvwJmQ4EcEesqmcxbwLUY6/6Yr07LtyugYM6Jl5f9r4YoSgxEiIjI7fjJ4gGpGdm4dUfrcGZELLCtpIR7bpunVEexXPdx3n6VbbJsS4Xl4E0m+5U3JomrcYiIyP0YjJSwUT8eRkqmCTqNAKDodTpUEOGFvGfFZMLL5Tl3JB8kKOz/12OJdvuMZiawEhGR+zEYKUG37mQhJdM9y2OjhFj8pn8fAHBb8kPTnEUAgGxJh6tSFWu7TEkEcAcAsM7cGlC77jvMxXFvrQoaDXOfiYjIPRiMeMjSNx5BZS+97LGHp20vcr//SA3QOmeO9bVoyAbwAgAgBQGo5uC8/DMmD1QGujQOtWtjMJgRn5IFtcBAhIiI3IfBiIdU1OtQKcD5s11yySWddn73S5dtAPty8HsdtOv/6UbsumnZVgGyMx+iKDEQISIit2Mw4gFGowFxqanINBoVtZdLYG0kAJIkIdMIZEgimhQIOnJJxmyb17O27JBtd/5mvnMk+SqxouS8cizRvTKbzTAq/HdBRJ6n1WqhViu4/+8Cg5ESdj09BwDwwvxD0KiLnsAqSRJaL83E3itmWHJCXlB03pztmS7bpN4CYhLS7PabRK6moeIhSRKSkpKQkpLi6aEQUSFVqFABISEhEBysEFWCwUgJiktNdVtfZqPhbiCijD48CoJWPkeloCdbV3B6XKdR8Ym95Fa5gUjVqlXh4+NzT3/UiKhkSJKEzMxMXL9+HQAQGmqfa6gUgxEPmf/Kg4gKCZQ99uTMPYXq68yoYLQX5zltI2j1EAQBw9rJPyjvyJFM7L5l2a5Y1RcNwwLs2phMIi7eyHBYH4WoKMxmszUQqVy5sqeHQ0SF4O1tyX28fv06qlatWuRbNgxGPKRqgBbVq8gHIwXJJac+OyrvQXY+WgFx03vJnlsw32Rkh7ay7ZZVPILda+MBACoBsjMfKpXAQITcLjdHxMdH2ROliah0yf23azQaGYyUFnKJn9Zj+RJAfz98GEeSkhT1KZfAWl9BGzmbT52X3X/lal7SoFkU5SuwMmeEihFvzRDdn9zxb5fBiBtduJHu9Km8Z66lW7e/3icBiuuhus+g5Wdctjl5PgW/au0rsBIRERUHFo1wE1GUnAYiAHDk2LkSGs29iaoe4fR4RV8tK7ASEZHbcGakGDQI9ZfNragQJADnLbdqnooAnnpUvvD6lHWuZ0ySpQrW7eWmjorKvAPAwv71ZPfHp6Vh6s+J8NKo8HSDqqhWwd9hHwxEiO6NIAhYunQpBgwY4OmhuNUHH3yAZcuWITY21tNDofsMg5FioBIE2QRQy301SzBSL0KFN5o3lT2/YDAil8Cav7LqV+YuiPtUvrJqwVySZxvUlm139WYaPtVcAwBoBIEBB1ERZGRk4JNPPsGaNWtw8eJF6PV6PPzwwxgxYgS6du3q6eERlVr8xCEicoM7d+6gdevWWL58Od5//32cPn0a0dHRaNmyJXr27ImpU6d6eojIycnx9BCIZHFmxM1Md1eiyM2M5K+mvmiviOi9ylbAKFkpo3Q1TXqGQXZ/hlF5ATWi4pZbTMlTilJ47f3338epU6cQExODBx54wLr/o48+gre3NyZOnIjOnTujaVPLjGhKSgpeeukl/Pbbb/D29sZbb72FKVOmQKWy/D/iL7/8gg8++ABnzpyBTqdD3bp18dVXX1nPv3jxIsaOHYtt27ZBkiQ8+uijmDlzJpo0aQIA2LlzJ9q2bYuNGzfik08+wT///IPx48djyZIlePXVVzFlyhTrGCVJwgMPPIB+/fpZg6Yff/wR06dPx6lTpxASEoIePXrgww8/hK+vLwBLYPPOO+/gu+++g0qlwssvv4zAQGXlCogKYjDiRv9evoU7WSaHhcEuJdgujY0pqYHl859vD8nuN4oMRqj0yMzMhJ+fn8eun56ebv3QVUKSJKxatQp9+/a1CURyjRo1CtOmTcPKlSutwcTkyZPx3nvvYcqUKdizZw+GDBmCoKAgDB8+HNeuXcOLL76IKVOmoHfv3jAYDDh8+DA0Gsuf7OvXr6NVq1bo1q0bdu3aBb1ej7lz56JNmzY4ffo0goODrdcePnw4Pv74YzRt2hQqlQomkwnLly/H5MmTrQHX7t27cenSJfTv3x8AsHLlSgwbNgxffPEFWrVqhfj4eAwdOhRJSUn4/vvvAQDjxo3DmjVrsGzZMkRFReHrr7/GvHnzUKlSpaK96VSu8TaNm5hMIu5kmZy2+fOy+65XBbet2wPUm93Wr1olwE+nc1t/ROXBjRs3cOvWLTRq1Ej2uLe3N2rXro0zZ/KW1nfo0AGjR49G3bp18cYbb2DIkCGYOXMmACA+Ph5GoxF9+/ZFrVq1UL9+fbz88st48MEHAQALFixAeHg4Fi5ciMaNG6NevXqYM2cOKlWqhJUrV9pc+91330XPnj0RGRmJGjVqoH///oiLi8OuXbusbZYvX47WrVujdm1LTtnEiRMxdepUvPbaa3jggQfw5JNPYu7cuVi9ejWSk5ORkZGBBQsWYOrUqejRowfq1auHmTNnom7dum59X6n84MxIMejUMBg6jf3ylhE/HrF53dDB+UpmTKoKKdbt/2p+wwqpu6Kxfd3vYdn9KdnZ6PfNP9BqGIiQ5/n4+CA9Pd11w2K8fmFId+/BOru1IxV46nXLli1tXrdu3RqfffYZ0tLS0KRJE3To0AENGzbE008/jbZt26Jnz56IiLAsu9+/fz+OHj1qN3uUlZWFc+dsSwg89thjNq9r1aqF1q1bY8WKFWjTpg0yMzPx008/4fPPPwdgCaxiY2MxZswYjBs3zm78586dg6+vL3JycmS/h/Xr1zt8D4gcYTBSDDQqlaLVKBtlVskAefkfQUjBdv0o+Ovtf0wZ6WnI/2dIbsVN/r5y+fnKBxsmUWQgQqWGIAiFuk3iaUFBQahUqRKOHz8uezw7OxsXL17EM888Y93nLHBRq9XYvHkzDhw4gD///BM//fQTxo0bhx9//BFdunSBKIpo06YNFixYYHduQIDtc6Xk3sf+/ftjxIgRmDt3LtauXQuz2YzevXsDAMS7lZZnzZplM95c4eHhOHv2rMvvgagwGIy4mVkUYVCYDOos6VSSJJiNWVCpMpFhtD+eYcz7vywT1PecwJpulLkIESmiUqnQr18/LFq0CBMmTEBkZKTN8VmzZiErKwuvvvqqdV90dDSGDRtm8zo8PNwaTAiCgObNm6N58+YYP348nn32WXzzzTfo0qULmjVrhiVLliAsLKxIz/Tp3bs3hg0bhnXr1mH58uXo2bMn/P0ttYWCg4MRERGBM2fO4H//+5/s+bVr14ZOp0N0dDQaN25s3b93795Cj4UIYDDiVsfiU5CRY4YECRpV0R4WBFgCkWvfjkVc/CkoSeHbZH5ccfaPowRWSeJzZ4juxdSpU7Fz5048/fTTmDZtGlq0aIH09HSsXr0a06dPx+TJk63JqwCwZcsWzJo1C126dEF0dDTmzZuHjz76CIDlQ33btm3o2LEjQkJCcO7cORw7dsyaYDp06FAsXrwY3bp1w8SJExEREYGrV69i8+bN6NixI5544gmnY/X390ePHj0wc+ZMHD9+HFu2bLE5/tFHH+GNN95A5cqV0aNHD2i1Wpw+fRq//fYbvv76a/j6+mLQoEGYNGkSQkND0aBBAyxevBinT59mAisVCYMRNzEYzchwUQ5eKcmYg5z4U64bAvCvVgcfC/3hrsnSAG81/Lx5u4aosAIDA7F371588skn+OCDD3Dp0iVr0bO1a9eiW7duNu0nTpyI6OhoTJgwAd7e3hg+fDiGDx9u7Wvfvn2YN28ebt++jZCQELz88sv44IMPAFhmL/bt24f33nsPvXr1QmpqKkJCQtC6dWuEhclXdi5owIABeOaZZxAREYG2bW2f5v3qq68iICAAM2bMwPTp06FWq/HAAw+ge/fu1jYzZsxAdna2NUDq06cPhgwZYl1tQ1QYglQwq6oUSktLQ2BgIFJTU+3uh5YW6RkG66zDvJebwE9v/4Fed6KyVS+iIRtXPn8BAFBt6CoIWi+HbQWtXvF928d9gG9G2d8DBiw5I7/GJMJPp0OXxqGswEolJjs7G5cuXUJkZCS8vBz/rhNR6eTs37DSz2/OjBQDnUoNnc71bRpHSadjxwzBp3e36+qSse2z4XZtCuaIOOrrlRkbsSfFsq3ROUlgNYlc0ktERB7BYMTNEq7dxObz5xV9sDtKOl2t/ssajNQSEhQlp079Wb7N6ZS8bUmyPF1Yjlj6J8iIiKiMYjDiRvsu3gQAjP7+Uolfe/E/rtukpAIxCWmyxxiMEBGRpzAxwE02nz/v6SG41Kl9sMs2XlqV7HN1iIiIigtnRorB4JbhaFzHflHuoOVnZFq7x5uPye8/fRqITrVsh1X1RcMw+QSi3Ns3cs/UISIiKk4MRopBrRo6PNugtswR22DEUdLp3+PeddmuYB7JhB7yfa0/fhrR314AYAk0nM16MBAhIiJPYDBSDEZ/fwnzHeSNSJIEyZgDAKg+cq1sm+WCbQEyJQmsey7Eye6/fCWvsqooSUxgJSKiUofBSDG5KLMvt7Kqq4Jm7YpwvVe+ln8mRn7xSemIqSSfwEpEROQpTGB1EyUraApTWRUAWkWoodFq72VYNh6sUc1lGx+9mgmsRERUojgzUkxqyezLv97GWWXVH3WT8aAqFj5aYIhRABTcQVn1nwdl91/PyMCY7y4iwFuL+sH+qBrg/EmoDESIyofY2FhERkZix44daNOmjaeH4xbLli3D66+/jtzC4jt37kTbtm1x6dIl1KxZ0239kvsxGCkm22WSTvPniAhaL8TN6iV77tGJH8I3X1CgJIG19QPVZfu6npKBAO8rAAAVnCewElHRDBgwAMuXLwdgeYJvaGgo2rZti2nTpiEiIsIt16hZsyYGDBhgfT7NvYqIiEBiYmKZfrBdy5YtkZiYiKCgIEXtHQVoffr0wbPPPltMoySAwYjHDNf8BGyLydsRGAE0e91zAyKie9KiRQusW7cOoigiJiYGgwYNQpcuXXDo0CGoVKXrjnhOTg70ej1CQkLc1pe7uLM/nU7nlu/R29sb3t7ebhgROVK6/oWUYrE3Upx+FVRz3Ea7r4eEc9bjgzQbgb8+s34d2DDf2q6PYQKispcgKnsJ/hAfle2roFtpWbJft3MMxfm2EBULSZKQaTB57Kso0/G5H3xhYWF45plnMHnyZBw9ehTn7xZEXL16NR588EHo9XqEhoZi+PDhyMrKsp4fExODjh07okKFCvDx8UH9+vWxcuVKAECjRo1w+fJlTJ48GYIgQBAExMbGAgAuXryIF154ARUrVkSFChXwzDPP4OjRo9Z+d+7cCUEQsGnTJrRp0wbe3t749NNPERsbC0EQsHPnTmvbCxcuoHv37ggMDISvry/at2+PI0eOWI/nnrNq1Sp07doVfn5+GDJkiOz7sWzZMgiCgF27dqFx48bw8vJC48aNsWPHDkX9bdu2Da1bt4a3tzfCwsIwYMAA3Lhxw+Z3ZMKECahatSr8/Pzw0ksv4fbt2zZjyP3ec9+r3O+xd+/eqFy5Mry9vdGwYUP8+OOPSE5ORmRkJACgbdu2EATBemsn93sBgPT0dPj5+WHJkiU218rIyICfnx8WL15s3Tdv3jw0aNAAXl5eqFOnDqZOnQqj0Qiyx5kRBRpN2oxso/me+6mlSlTULhuF/7+CrvP3OTjCe5x0/8kymhE18Q+PXf/klI7w0d3bn8fc/5M2GAzYsmUL+vbti0mTJuGll17CuXPnMGjQINy+fRsrVqwAALz88suIiopCdHQ0vL29cfbsWZhMJgDArl278NBDD6FPnz4YPXo0ACAoKAjXr19Hq1at0K1bN+zatQt6vR5z585FmzZtcPr0aQQH51VdHj58OD7++GM0bdoUKpXKLuDKyclBhw4dEBYWhq1bt0Kv12PKlClo164dzp49iypVqljbjh07Fh999BFmz57tMnAbPnw4Zs2ahdDQUEyfPh2dO3fG+fPnERoa6rC/nTt3okuXLvj444+xdOlSpKamYsyYMejevTv27NkDQRAwZ84cfPbZZ5g7dy5at26N9evXY/LkyU7HkpSUhJYtWyIqKgrr169HeHg4Tp06BYPBgMqVK2P//v1o3rw51q5di5YtW0Kttn/gqZ+fH3r16oXly5fjjTfesO7/6aefIEkSevfuDQCYOnUqvv76a3zxxRd46KGHcPr0abz11lvIzMzE9OnTnY6zPGIw4kLsjRS3BCIFXZMC8Y/pEevry5LrUu33IsBLjUp+nGYkKgmXLl3CjBkzEBERgXr16mHIkCHo2rUrJk2aBACoV68e5s6di549e2Ly5MmIjIxEbGwsRo8ejYYNGwIAatXKS4OvXLky1Go1/Pz8bG47LFiwAOHh4Vi4cKF135w5c7Bp0yasXLnSGrgAwLvvvouePXtaX+efLQCA7777DvHx8YiOjrZe49tvv0VkZCTmzp1rk6sycOBAvP66stvK06dPR/v27QEAS5YswY4dOzB//nxMnTrVYX8DBw7E4MGD8fbbb1v3LV++HDVq1MDBgwfRrFkzfPrpp3j77betAcHYsWOxf/9+rF0rX78JsMxUSJKEDRs2wN/fH4Dt+5ybW1KpUiWnt3f69++P9u3b49KlS9bZlOXLl6Nnz57w9/dHZmYmZsyYgR9++AGdO3cGAERGRuLDDz/EkCFDMG3aNOtMC1kwGCmElW8+itAA+afxtvksulB9XRTD8K70H3cMCwCwYXAL2f0mUcSmmCQEesuv3CEqjby1apyc0tGj1y+sv/76C35+fhBFEVlZWWjevDl+/vlnaLVanDhxAhMmTLBp/9RTT0GSJJw4cQKRkZEYM2YM3nzzTSxZsgRPPfUUunXrhocfftjpNffv34+jR4/Cz8/28RNZWVk4d+6czb7HHnPwzIi7Tpw4gfr169t8CHt5eaF58+Y4fty2jpGrvvJr2bKldVun0+HRRx9FTEyMTZuC/e3fvx/79u2zCbJynTt3DnXr1kV8fLxN3wDQunVrp8HIwYMH8fjjj1sDkaJq27YtqlevjpUrV2LixIm4fPkydu7cia1btwKw3HLLzMxEnz59bIIOs9mM7OxsJCUl2cwMEYORQgkN0KFmUAVFbeVWwLwzZovLNoD9Shm5dvXGbUTO3W09gEoB8rMeJpPIQITuO4Ig3PNtkpLWrFkzfPvtt1Cr1QgJCXGZ8Jj7IZX73wkTJqBfv37YvHkztm3bhunTp2P06NGYNm2awz5EUUSbNm2wYMECu2MBAbbPofL1db6s39ntloL/F++qL1dc9SeKIkaPHo0BAwbYnRscHAxRFGX7Kcq1i0IQBLz66qtYsWIFJk6ciBUrViAiIgJt27YFAOv4Vq9ejQYNGtidr3R1T3lyf/1rLwYGg/NbMAazGZAAkwRM+z4aFSo4buuq1HsX0TZxSUmZdwDoNcm+XU6+bRGWoEOOSZTfT0Tu5e3tjdq15Z5JBTRs2BA7d+7EO++8Y92Xmziae1sGsNwyGDx4MAYPHowZM2Zg+vTp1mBEp9PBbLb9e9WsWTMsWbIEYWFh8PHxuafxN2rUCPPnz0dSUpJ1diQ7Oxv79+/HW2+9VeR+9+7di06dOgGw5M8cOHDA5S2eZs2a4cSJEw7fTwAIDw9HdHQ0unbtat0XHe18hrpZs2ZYuHAh7ty5Izs7otNZZr4Lvs9yBgwYgA8//BB79uzBihUr8Nprr1lXTTVs2BBeXl64cOECunTp4rIvKufByPf7L+NGmvPVJrfTM2C6+z8MWxIAJMi3U1LqfX4Rx3kwx/lxI4BfjylLjiWikvfee++hU6dOmDx5Ml5++WWcPXsWQ4cORb9+/RAZGYn09HT83//9H3r16oVatWrh9u3b2Lx5M6Kioqx91KpVC9HR0bhy5Qq8vb1RqVIlDB06FIsXL0a3bt0wceJERERE4OrVq9i8eTM6duyIJ554QvEY+/bti6lTp6J3796YOXOmNYE1Ozvb4YoZJcaPH29dRjxjxgzcvn0bgwcPdnrOlClT0KFDBwwfPhwDBgxAQEAAzp07h59++gmff/45/P39MWrUKLz//vuIiopCy5YtsWHDBvz5559O+x0yZAi++uordO3aFVOmTEG1atVw9uxZZGVloXv37ggODoaPjw+2bNmCRo0aQafToWLFirJ9PfDAA2jVqhWGDRuG8+fPo3///tZjfn5+GD9+PCZMmAC1Wo0OHTrAZDLh+PHjOHjwID799NPCv5FlXLld2mswmF0GIgDw29/xivorTKl3fXgD/AfvKWqrxItNXE+ZVvTVQqMptz9uIo/q2LEjVq5ciTVr1qBRo0Z488030b17d3z11VcAAI1Gg9u3b+PNN99E/fr10bFjR1StWhU//PCDtY8PP/wQKSkpqFu3LoKCghAXF4fg4GDs27cPwcHB6NWrF+rVq4d+/frh0qVLCAsLK9QYvby8sGXLFlSoUAFPP/00WrRogZSUFGzbtu2ebivMmjULw4YNQ9OmTXHo0CFs2LDB5djatm2L7du3IyYmBk8++SQaN26MESNGwNfX11qDZPjw4Rg+fDhGjRqFhx56CPv27cPEiROd9hscHIzo6GhUrFgRXbp0QVRUFEaNGmVdbqtWqzF//nz8+OOPCA8PR9OmTZ32N2DAABw+fBitW7e2m8WZMGECZs+ejcWLF6NJkyZo3bo1Pv/883uqBFuWCdJ9UN82LS0NgYGBSE1NtbsPWlQGgxkLd1seZ/dGqxrQySzhAoChCzdbZkQAhAJ4Ikq2GVYfycaVz18A4LzUOwAIWn2h7ls+IrPS91iOZUYEAD7oVQ2vNJUvB5+LgQiVVtnZ2dZVCV5ezG8qK1hCvfxw9m9Y6ed3ub5Nk0unVkOnkw9G8scoD0UAn7wmn3S6+ojrUu9KElPl2q2dbN9u1cFjeH+Npcy7RiUw2CAiovtWuQ9GbmdkIiH1jsOZkfT0vMTUjRfkE1MBQDJm27xWkpyqNIF1w4kzdvsuxbGyKhERlQ3lOhj5atc55JglrD6Q4PC2SYbBdWJqQe9rVkKvkX9rb8MfX5p6wAzldQyGrTrvuhERUSkyYMAA2aW5RHLKbTCSkHoHOWbX9zILk5gKAK0i1PiP93anOSFD1euxT4zCq8bxivt1pmu9em7ph4iIyBPKbTCS34qBjyDcQdGwxz/MK1TmLDH1iP6/UMOMAJ3oMjlVI4i4KCmvvjfnFfu19mk5OZiz/gqCqwYq7oeIiKg0YjACIMhXh7BKrssDO0pMBYCa47xQBakYaN4IFST894lIuzaL/roEAEiWArDS/IziBNaujexnPtLSc/BD1TSXYyYiIirtynUwIkkSjDk5eHL6NsdtCpGYmoxAzDD1BQBM2yHXwvY5CkoTWNMz7JNV001MYCUiorKh3AYjkiQhfmXhElM95T/fHrLbx7X7RERUVpTb4hRPzdheqEBEHx4FQStTfayYVXFxvLKvFn4+8k8SJiIiuh+U25mR/FxVTAVcV01VI+/BSmaoANz7kyEBoG87P/y3lf1jxEVJwqnEO/Dx1rrlOkRUvsTGxiIyMhI7duxAmzZtPD0ctyhY9XXnzp1o27YtLl26dE9l2FlNtvgxGIGrxFRLXsdozQ/QwSSbmAoA2DfXutkm5zPsnD7QYV+5HCWwzt0ZjZmbUwAAOp0Gfr72Mx+iKDEQISolBgwYgOXLlwMAVCoVQkND0bZtW0ybNg0RERFuuUbNmjUxYMAAfPDBB27pLyIiAomJiahUqZJb+iuNWrZsicTERMXP1nEUoPXp0wfPPvtsMY2SAAYjig1Q/wE/IRvY5+mREFFp1KJFC6xbtw6iKCImJgaDBg1Cly5dcOjQIeuj5UuLnJwc65N03dWXu7izP51O55bv0dvbG97e8uUfyD1K178QD6o5bqPsV2FlSTpckyoq6mv+7n2yX0cv5VjbSJIEUZT54nQhlQfGbCArRfmX3L+L7FTl5xsyizzU3A++sLAwPPPMM5g8eTKOHj2K8+ctFZRXr16NBx98EHq9HqGhoRg+fDiysrKs58fExKBjx46oUKECfHx8UL9+faxcuRIA0KhRI1y+fBmTJ0+GIAgQBAGxsbEAgIsXL+KFF15AxYoVUaFCBTzzzDM4evSotd+dO3dCEARs2rQJbdq0gbe3Nz799FPExsZCEATs3LnT2vbChQvo3r07AgMD4evri/bt2+PIkSPW47nnrFq1Cl27doWfnx+GDBki+34sW7YMgiBg165daNy4Mby8vNC4cWPs2LFDUX/btm1D69at4e3tjbCwMAwYMAA3btywnitJEiZMmICqVavCz88PL730Em7fvm0zhtzvPfe9yv0ee/fujcqVK8Pb2xsNGzbEjz/+iOTkZERGWma+27ZtC0EQrLd2cr8XAEhPT4efnx+WLFlic62MjAz4+flh8eLF1n3z5s1DgwYN4OXlhTp16mDq1KnWJwTLyX0/vvvuO3Tp0gU+Pj6IjIzEunXrkJaWhv79+yMgIAARERH4+uuv7a7/zjvvIDw8HD4+PmjatCl++uknmzbvv/8+GjZsCF9fX4SFheGVV17BtWvXbNoIgoC5c+fijTfeQGBgIEJDQzFmzBiYzWYUJ86MKPS9uR10cPxLBABGaLDJ/BiyoOzJo59suuWyzbU0M2ISWE+Eyqk9nwO7Zihv/3+XAe8Ktvs+fxDISVV2fpO+QI8Fyq/nRO7/SRsMBmzZsgV9+/bFpEmT8NJLL+HcuXMYNGgQbt++jRUrVgAAXn75ZURFRSE6Ohre3t44e/YsTCYTAGDXrl146KGH0KdPH4wePRoAEBQUhOvXr6NVq1bo1q0bdu3aBb1ej7lz56JNmzY4ffo0goODreMZPnw4Pv74YzRt2hQqlcou/yEnJwcdOnRAWFgYtm7dCr1ejylTpqBdu3Y4e/YsqlTJS6cfO3YsPvroI8yePdtlHsXw4cMxa9YshIaGYvr06ejcuTPOnz+P0NC8wo8F+9u5cye6dOmCjz/+GEuXLkVqairGjBmD7t27Y8+ePRAEAXPmzMFnn32GuXPnonXr1li/fj0mT57sdCxJSUlo2bIloqKisH79eoSHh+PUqVMwGAyoXLky9u/fj+bNm2Pt2rVo2bIl1DLPLPPz80OvXr2wfPlyvPHGG9b9P/30EyRJQu/evQEAU6dOxddff40vvvgCDz30EE6fPo233noLmZmZmD59utNxjh8/Hp9++ilmzZqFGTNm4JVXXsFTTz2FHj16YMKECVi+fDkGDRqENm3aoE6dOgCAbt26wWg04ocffkBYWBj+/PNP9O3bF/7+/ujYsSMAQK/XY/78+ahRowauXLmCUaNG4eWXX8b27dttrj958mRMnDgR48ePxz///IP+/fsjKioKr7/+utNx3wsGIwp9ZHrFI9ft2eRBp8d99GqoVO5JliUi97h06RJmzJiBiIgI1KtXD0OGDEHXrl0xadIkAEC9evUwd+5c9OzZE5MnT0ZkZCRiY2MxevRoNGzYEABQq1Yta3+VK1eGWq2Gn5+fzW2HBQsWIDw8HAsXLrTumzNnDjZt2oSVK1daAxcAePfdd9GzZ0/r6/yzBQDw3XffIT4+HtHR0dZrfPvtt4iMjMTcuXNtclUGDhyo+INp+vTpaN++PQBgyZIl2LFjB+bPn4+pU6c67G/gwIEYPHgw3n77beu+5cuXo0aNGjh48CCaNWuGTz/9FG+//bY1IBg7diz279+PtWvlH2YKWGYqJEnChg0b4O9vKXSZ/33OzS2pVKmS09s7/fv3R/v27XHp0iXrbMry5cvRs2dP+Pv7IzMzEzNmzMAPP/yAzp07AwAiIyPx4YcfYsiQIZg2bZrTBRGDBw/Giy++CMAS1CxZsgSRkZH473//CwCYNGkSPvvsM2zfvh116tTBrl27sHv3biQlJVlzgP773//i77//xpdffmkNRiZMmGC9Rs2aNTF37lw89thjSEhIQFhYmPVYz549re997dq1sXTpUmzdurX0BSPz58/Hp59+isTERDRs2BCzZ8/GE0884bD9rl27MHLkSMTExCAsLAxjx47FoEGDijxod1uhmw5vneMH18VLVTDSONit16wBoM9z8oljZrMZuw6l4onGdRAVEgCdk7ExECEqHf766y/4+flBFEVkZWWhefPm+Pnnn6HVanHixAmbDwIAeOqppyBJEk6cOIHIyEiMGTMGb775JpYsWYKnnnoK3bp1w8MP26+ky2///v04evQo/Pz8bPZnZWXh3LlzNvsee+wxp32dOHEC9evXt/kQ9vLyQvPmzXH8+PFC9ZVfy5Z5xR51Oh0effRRxMTEOO1v//792Ldvn02QlevcuXOoW7cu4uPjbfoGgNatWzsNRg4ePIjHH3/cGogUVdu2bVG9enWsXLkSEydOxOXLl7Fz505s3boVgOWWW2ZmJvr06WMTdJjNZmRnZyMpKclmZqigpk2bWrdz2+Xfp9FoEBQUZL3Fsn//fphMJlSvXt2mH4PBYA2WAOCXX37B559/jnPnziEtLQ2iKAKwBKb5g5FHHnnEpp/w8HBcuXJF2ZtTRIUORn744Qe88847mD9/Plq1aoWvvvoKnTp1wsmTJ+3eCMDyfwjPPfcc/vOf/2DVqlWIjo7G4MGDERQUhF695FewlIRKSEXuW/uo6ix8nXyonxfzfkhKS7jLtRu1dCPWnrFsN6sHDH6yhWxfBoMZkvkiAEuwwYCDyq3WI4DH/6e8vZfMs5pGHJfPJZGjLnrNnmbNmuHbb7+FWq1GSEiIy4TH3A+p3P9OmDAB/fr1w+bNm7Ft2zZMnz4do0ePxrRp0xz2IYoi2rRpgwUL7G8tBQQE2Lz29fV1Oh5nt1sK/l+8q75ccdWfKIoYPXq07FN/g4ODrR+irp4DpuTaRSEIAl599VWsWLECEydOxIoVKxAREYG2bdsCgHV8q1evRoMGDezOd7W6R6vNWymZO978+3L3515HFEX4+fnh0CH7Apm55/3zzz/o2bMnxowZgxkzZqBixYqIjY3Fs88+C4PBtqK3Tmf77yD/tYpLoRNYZ82ahTfffBMDBw5EgwYNMHv2bERERMj+YwCAhQsXonr16pg9ezYaNGiAgQMH4o033sDMmTPvefD3opKQ7tHrE5ECWi9LDojSL7kPGq9A5efrfIo8VG9vb9SuXRuRkZF2gUjDhg1tEkUBWF/n3pYBLLcMBg8ejLVr12LKlCmYN2+e9ZhOp7NLImzWrBlOnjyJsLAw1K5d2+aratWqhRp/o0aNcPr0aSQlJVn3ZWdnY//+/WjUqFGh+spv79691m2DwYADBw7IfkDn16xZM5w4ccLue6pduzb8/f0RGBiI8PBwREdH25xX8LVcv/v27cOdO3dkj+d+CCtJ1hwwYAAuXLiAPXv2YMWKFXjttdesq6YaNmwILy8vXLhwQfZ70GjcmyHRrFkz3LlzB+np6XbXqlGjBgBgz549qFChAmbMmIHHH38c9erVs/lZe1qhghGDwYCDBw+iQ4cONvs7dOhg8wuX3759++zad+zYEf/++6/DrOKcnBykpaXZfLmbWLAoWfcFsl+jDIPwiamP269PROXHe++9hw0bNmDy5Mk4e/YsfvvtNwwdOhT9+vVDZGQk0tPTMWTIEGzfvh2xsbE4fPgwNm/ejKioKGsftWrVQnR0NK5cuYLk5GSIooihQ4dCkiR069YNf/31F2JjY7Fnzx68//77+Ouvvwo1xr59+yI0NBS9e/e23v7p168fsrOzHa6YUWL8+PHYvn07Tp48iYEDB+L27dsYPNj5be8pU6Zg48aNGD58OA4fPowLFy5g8+bNGDhwoDWQGDVqFObOnYvly5fj3Llz+Oyzz/Dnn3867XfIkCEQBAFdu3bFX3/9hUuXLuGPP/7A+vXrAVhmXXx8fLBlyxZcu3bNbnVOfg888ABatWqFYcOG4fz58+jfv7/1mJ+fH8aPH48JEybgyy+/xJkzZxATE4PVq1djzJgxCt855dq1a4f27dvjhRdewM8//4yLFy/i4MGDmDt3Lr766isAQP369XHr1i0sXLgQly5dwpo1a/Dhhx+6fSxFVahgJDk5GWaz2SZDG7D8AB1FWElJSbLtTSYTkpOTZc+ZPn06AgMDrV/uKhqU30Up79ZLg+ylwEN9Zb/Wik9ii/io269PROVHx44dsXLlSqxZswaNGjXCm2++ie7du1s/KDQaDW7fvo0333wT9evXR8eOHVG1alX88MMP1j4+/PBDpKSkoG7duggKCkJcXByCg4Oxb98+BAcHo1evXqhXrx769euHS5cu2eQAKOHl5YUtW7agQoUKePrpp9GiRQukpKRg27ZtiouGyZk1axaGDRuGpk2b4tChQ9iwYYPLsbVt2xbbt29HTEwMnnzySTRu3BgjRoyAr6+vtQbJ8OHDMXz4cIwaNQoPPfQQ9u3bh4kTJzrtNzg4GNHR0ahYsSK6dOmCqKgojBo1yvo/xmq1GvPnz8ePP/6I8PBwmzwNOQMGDMDhw4fRunVr1K5d2+bYhAkTMHv2bCxevBhNmjRB69at8fnnn99TJVhHBEHAhg0b8OKLL2LkyJGoX78+nn/+efz222944IEHAADPP/88Jk2ahMmTJyMqKgrz5s3DF1984faxFJUgFaK+bUJCAsLDw7F37160aJGX7/DRRx9h5cqVOH36tN05devWxeuvv453333Xui86OhqtW7dGYmKibMZyTk4OcnLyam2kpaUhIiICqampdvdBi0qSJNQYtQ4AcPmznk7vI+bmgzjKFylMu1FLLW0+e915XwaDZZrQWfIqUVmQnZ1tXZXg5aVsWTyVfiyhXn44+zeclpaGwMBAl5/fhbpxVaVKFajVartZkOvXr9vNfuQKCQmRba/RaFC5cmXZc/R6vVsr+skRBMFhCfiCXAUhhWnnKgjJxSCEiIjKi0LdptHpdHjkkUesy5dybd261W6JVa4WLVrYtd+yZQuaNWtmlx1MRERE5U+hV9OMHDkS33zzDZYsWYJTp05hxIgRiIuLs9YNeffdd/Haa69Z2w8aNAiXL1/GyJEjcerUKSxZsgSLFy+2KcZDRERly4ABA3iLhhQr9PqiPn364ObNm5gyZQoSExPRqFEjbNq0ybp8KDExEXFxcdb2kZGR2LRpE0aMGIF58+YhLCwMc+bM8WiNESIiIio9CpXA6ilKE2CI6P7DBFai+5s7Elj51F4iKhWKu8IjERUPd/zb5YPyiMijdDodVCoVEhISEBQUBJ1O55aS3URUvCRJgsFgwI0bN6BSqezKyBcGgxEi8iiVSoXIyEgkJiYiISHB08MhokLy8fFB9erVreXwi4LBCBF5nE6nQ/Xq1WEymRQ9F4SISge1Wg2NRnPPs5kMRoioVBAEAVqtlvWHiMohJrASERGRRzEYISIiIo9iMEJEREQexWCEiIiIPOq+SGDNLRKblpbm4ZEQERGRUrmf266Kvd8XwcidO3cAABERER4eCRERERXWnTt3EBgY6PD4ffFsGlEUkZCQAH9/f7dWZkxLS0NERASuXLnCZ954AN9/z+L771l8/z2L73/JkCQJd+7cQVhYmNOiaPfFzIhKpUK1atWKrf+AgAD+MnoQ33/P4vvvWXz/PYvvf/FzNiOSiwmsRERE5FEMRoiIiMijynUwotfrMWnSJOj1ek8PpVzi++9ZfP89i++/Z/H9L13uiwRWIiIiKrvK9cwIEREReR6DESIiIvIoBiNERETkUQxGiIiIyKPKdTAyf/58REZGwsvLC4888gj++usvTw+pTNq9eze6dOmCsLAwCIKA9evX2xyXJAkffPABwsLC4O3tjTZt2iAmJsYzgy1jpk+fjkcffRT+/v6oWrUqunfvjjNnzti04ftffBYsWIDGjRtbC2u1aNECv//+u/U43/uSNX36dAiCgHfeece6jz+D0qHcBiM//PAD3nnnHbz33ns4fPgwnnjiCXTq1AlxcXGeHlqZk5GRgSZNmmDu3Lmyxz/55BPMmjULc+fOxYEDBxASEoJnnnnG+kwiKrpdu3ZhyJAh+Pvvv7F161aYTCZ06NABGRkZ1jZ8/4tPtWrVMGPGDPz777/4999/0a5dO3Tr1s36Ycf3vuQcOHAAixYtQuPGjW3282dQSkjlVPPmzaVBgwbZ7Ktfv740btw4D42ofAAg/fzzz9bXoihKISEh0owZM6z7srOzpcDAQGnhwoUeGGHZdv36dQmAtGvXLkmS+P57QsWKFaVvvvmG730JunPnjlSnTh1p69at0lNPPSUNHz5ckiT+/pcm5XJmxGAw4ODBg+jQoYPN/g4dOmDv3r0eGlX5dOnSJSQlJdn8LPR6PZ566in+LIpBamoqAKBSpUoA+P6XJLPZjNWrVyMjIwMtWrTge1+ChgwZgueffx7t27e32c+fQelxXzwoz92Sk5NhNpsRHBxssz84OBhJSUkeGlX5lPt+y/0sLl++7IkhlVmSJGHkyJFo3bo1GjVqBIDvf0k4fvw4WrRogezsbPj5+eHnn39GVFSU9cOO733xWr16NQ4dOoQDBw7YHePvf+lRLoORXIIg2LyWJMluH5UM/iyK39ChQ3Hs2DHs2bPH7hjf/+JTr149HDlyBCkpKVi7di369++PXbt2WY/zvS8+V65cwfDhw7FlyxZ4eXk5bMefgeeVy9s0VapUgVqttpsFuX79ul2ETMUrJCQEAPizKGZvv/02NmzYgB07dqBatWrW/Xz/i59Op0Pt2rXRrFkzTJ8+HU2aNMEXX3zB974EHDx4ENevX8cjjzwCjUYDjUaDXbt2Yc6cOdBoNNb3mT8DzyuXwYhOp8MjjzyCrVu32uzfunUrWrZs6aFRlU+RkZEICQmx+VkYDAbs2rWLPws3kCQJQ4cOxbp167B9+3ZERkbaHOf7X/IkSUJOTg7f+xLw9NNP4/jx4zhy5Ij1q1mzZujXrx+OHDmCWrVq8WdQSpTb2zQjR47Eq6++imbNmqFFixZYtGgR4uLiMGjQIE8PrcxJT0/H+fPnra8vXbqEI0eOoFKlSqhevTreeecdTJs2DXXq1EGdOnUwbdo0+Pj4oG/fvh4cddkwZMgQfPfdd/jll1/g7+9v/T/AwMBAeHt7W2su8P0vHuPHj0enTp0QERGBO3fuYPXq1di5cyc2b97M974E+Pv7W/Ojcvn6+qJy5crW/fwZlBKeW8jjefPmzZNq1Kgh6XQ66eGHH7YudyT32rFjhwTA7qt///6SJFmW102aNEkKCQmR9Hq99OSTT0rHjx/37KDLCLn3HYC0dOlSaxu+/8XnjTfesP6NCQoKkp5++mlpy5Yt1uN870te/qW9ksSfQWkhSJIkeSgOIiIiIiqfOSNERERUejAYISIiIo9iMEJEREQexWCEiIiIPIrBCBEREXkUgxEiIiLyKAYjRERE5FEMRoiIiMijGIwQlQGCIKBmzZo2+2JjYyEIAtq0aWOzf9myZRAEAR988EGxjGXnzp0QBAEDBgxQdN0BAwZAEATs3LmzWMZTXD744AMIgoBly5Z5eihE9z0GI0RERORR5fZBeURlXXh4OE6dOgUfHx9PDwUA0KNHDzz++OOoUqWKp4dCRKUMgxGiMkqr1aJ+/fqeHoZVYGAgAgMDPT0MIiqFeJuGqIxylDPizGeffQaVSoWoqCjEx8fb9PXWW2+hZs2a0Ov1CAoKwgsvvIBjx44p7ltJrsru3bvRrl07+Pv7IyAgAM8//zxOnjwp29ZkMuHLL7/EI488Aj8/P/j5+aF58+ZYsGABzGaz7Dk3b97EmDFjUKdOHXh5eaFSpUp49tlnsWXLFodj2rVrF9q0aQM/Pz9UrlwZPXr0wOnTpxV/30TkGoMRIgIAjB8/HqNHj0azZs3w119/ITw8HACwZ88eNGnSBIsWLYKfnx+6du2KOnXqYN26dXj88cexY8cOt1z/119/Rbt27XDr1i107NgRoaGh2LRpE5588kkkJSXZtDWbzejWrRuGDRuG8+fPo3379mjfvj1Onz6NwYMH48UXX4QoijbnxMfHo3nz5pg5cyYMBgO6d++Opk2b4s8//0THjh3x+eef243pl19+wdNPP41du3ahSZMm6NChA44dO4bHHnsM58+fd8v3TUQAJCK67wGQatSoYbPv0qVLEgDpqaeestm/dOlSCYA0adIkSZIkyWw2S//9738lAFK7du2kO3fuWNumpqZKISEhklarldasWWPTz9atWyWdTieFh4dLOTk51v07duyQAEj9+/d3et1c/fv3lwBIKpVK+u6776z7TSaT1KtXLwmANGHCBJtzZs6cKQGQHnzwQenatWvW/QkJCVK9evUkANK8efNszuncubMEQHr11Vclg8Fg3f/XX39JPj4+klqtlo4ePWrdn5aWJlWpUkUCYDMuo9FoHTMAaenSpRIR3RvOjBCVYwaDAS+99BIWLVqEHj16YNOmTfDz87MeX7JkCZKSkjB69Gi88MILNue2b98egwcPRnx8PH777bd7Hkvfvn3x8ssvW1+r1WqMHz8egOX2TX5z5swBAMyePRtVq1a17g8NDcWnn35q0wYALl68iN9++w0BAQGYM2cOtFqt9Vjr1q0xaNAgmM1mzJ8/37p/zZo1SE5OxjPPPGMzLo1Gg88//9zmfSKie8NghKicysjIQOfOnbFmzRq8/vrrWLNmDfR6vU2brVu3AgC6d+8u20fr1q0BAAcOHLjn8XTo0MFuX926dQEAiYmJ1n1xcXGIi4tDSEgI2rVrZ3dO586dUaFCBZw5cwY3btwAYLnVBADPPfccKlSoYHfOq6++CgD466+/rPtyz+ndu7dd+4oVK8qOl4iKhqtpiMqp2bNnw2Qy4bnnnsPixYshCIJdm9jYWADAY4895rSv5OTkex5PtWrV7Pblzj7k5ORY9yUkJACAXZG3XIIgoEaNGkhJSUFCQgKCgoJcnpO7P7dd/u3q1avLnuNoPxEVHoMRonKqU6dO2L17N7Zs2YK1a9fa3YYBYF2V8uKLLzqtV+IqWFFCLhi61/YF2zg6J3d//uOSJBVpXERUeAxGiMqphx9+GO+99x46dOiAl19+GWq1Gj169LBpU61aNZw5cwbvv/8+Gjdu7KGR2goLCwMAXLp0yWGbuLg4AJYcEiXn5M4A5bbPf87ly5edXoOI7h1zRojKscceewx//PEHvL290adPH2zYsMHmePv27QEA69ev98Do5FWvXh3Vq1dHUlIStm/fbnd848aNuH37NurVq4egoCAAebktGzduREpKit05q1atAgA88cQT1n2556xZs8aufUpKitPaJERUOAxGiMq5xx9/HJs3b4Zer8eLL76IjRs3Wo+99dZbCAoKwrRp07B06VLrrYtcGRkZWLFiBa5evVqiY3777bcBACNGjLAmqQJAUlISxowZY9MGAGrVqoXnn38ed+7cwfDhw2E0Gq3H9u3bhwULFkCtVmPw4MHW/S+++CIqVaqELVu24Mcff7TuN5vNGDVqFNLT04vt+yMqbxiMEBFatmyJ33//HTqdDr169cLmzZsBWFaN/Pzzz/D19cUbb7yByMhIdO7cGb169cKjjz6K4OBg9O/f3y0JrIUxYsQIdOrUCceOHUOdOnXQs2dP9OjRA3Xr1sWpU6fQvXt3/O9//7M556uvvkJkZCRWrFiBOnXq4OWXX0b79u3xxBNPICMjA5988onNraiAgAAsWrQIKpUKffr0QevWrdG3b1/Uq1cPP/30E/r161ei3zNRWcZghIgAWG5LbNy4ERqNBj169LAu623VqhWOHz+OUaNGwdvbG9u3b8eWLVuQlpaGzp0744cffkBUVFSJjlWtVmPDhg344osvUKtWLfzxxx/YsmUL6tWrh3nz5uGnn36CSmX75y08PBwHDhzAqFGjoNFosG7dOhw8eBBPP/00/vjjD4wcOdLuOr169cLWrVvxxBNP4PDhw/j9998RFRWFffv2oXbt2iX17RKVeYJUcN6ViIiIqARxZoSIiIg8isEIEREReRSDESIiIvIoBiNERETkUQxGiIiIyKMYjBAREZFHMRghIiIij2IwQkRERB7FYISIiIg8isEIEREReRSDESIiIvIoBiNERETkUf8PHlaCZBnkc8QAAAAASUVORK5CYII=",
       "text/plain": [
        "
"
       ]
@@ -1898,7 +1898,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "899dc09f4fcc47d89003501e302f1ac5",
+       "model_id": "5129e4cca09548aeb49b28eda2fc04cd",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2068,7 +2068,7 @@
    "outputs": [],
    "source": [
     "# simulate 1-dimensional data\n",
-    "x = np.linspace(0, 10, 20)\n",
+    "x = np.linspace(0, 10, 30)\n",
     "y = list()\n",
     "for v in x:\n",
     "    # introduce abrupt changes\n",
@@ -2087,12 +2087,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "afed3d607c3b40e2a92ab2eaccfbce0e",
+       "model_id": "8fa27906631d4a8dad7a74631264d126",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/2000 [00:00 2s:\n",
-      "\n",
-      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.41, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpe6igkh66\" source_line=29}\n",
-      "\n",
-      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
-      "\n",
-      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "2024-08-24 15:30:04.142132: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 24.95935s\n",
-      "Constant folding an instruction is taking > 2s:\n",
-      "\n",
-      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.41, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpe6igkh66\" source_line=29}\n",
-      "\n",
-      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
-      "\n",
-      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "There were 36 divergences after tuning. Increase `target_accept` or reparameterize.\n",
-      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n"
+      "There were 37 divergences after tuning. Increase `target_accept` or reparameterize.\n"
      ]
     }
    ],
    "source": [
-    "# Fit a GP using HSGP to model to simulated data\n",
+    "# Fit a GP to model the simulated data\n",
     "with pm.Model() as matern_model:\n",
     "    _X = pm.Data(\"X\", x[:, None])\n",
     "    measurement_error = pm.HalfNormal(\"measurement_error\", 1)\n",
     "\n",
-    "    ls = pm.Gamma(\"ls\", 0.5, 1)\n",
-    "    eta = pm.Exponential(\"eta\", scale=4.0)\n",
+    "    ls = pm.Exponential(\"ls\", 0.5)\n",
+    "    eta = pm.Lognormal(\"eta\", mu=4, sigma=0.5)\n",
     "    cov_func = eta**2 * pm.gp.cov.Matern32(input_dim=1, ls=ls)\n",
-    "    m0, c = 2000, 70.0\n",
-    "    gp = pm.gp.HSGP(m=[m0], c=c, cov_func=cov_func)\n",
+    "    gp = pm.gp.Latent(cov_func=cov_func)\n",
     "    s = gp.prior(\"s\", X=_X)\n",
     "\n",
     "    pm.Normal(\"likelihood\", mu=s, sigma=measurement_error, observed=y)\n",
-    "    matern_idata = pm.sample(nuts_sampler=\"numpyro\", target_accept=0.95, random_seed=rng)"
+    "    matern_idata = pm.sample(tune=2000, nuts_sampler=\"numpyro\", target_accept=0.95, random_seed=rng)"
    ]
   },
   {
@@ -2196,7 +2179,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ee26ae2538a44ad18581fc664e28fe40",
+       "model_id": "4ed62e11e5f349428ad4611db99c038b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2253,7 +2236,7 @@
     {
      "data": {
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 33,
@@ -2262,7 +2245,7 @@
     },
     {
      "data": {
-      "image/png": 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j4Vkv5AhMHj40Gg06deqE2bNnIzU1FTqdDsuXL8eRI0eQlpZWYf3o6GhotVrjEhYWZuqSiMzu559/xt27dxESEoJu3bqJLodsmGHoZf/+/bh+/brgaojMwyxzPr7//nvIsoyQkBCo1Wp89tlnGD16NJRKZYV1Z86ciaysLOOSkpJijpKIzMow5FLV+5yousLCwtC1a1fIsowff/xRdDlEZmGW8FGvXj3s3bsXubm5SElJwdGjR1FSUoKoqKgK66rVanh6epZbiGxJZmYmfvrpJwAcciHT4NAL2TuzXufD3d0dQUFByMzMxLZt2zB48GBz7o5IiNWrV6O4uBgtWrRAy5YtRZdDdmDYsGFQKBQ4evQorl27JrocIpMzS/jYtm0btm7dioSEBGzfvh09evRAo0aN8OKLL5pjd0RC8XLqZGoBAQHo2bMnACAuLk5wNUSmZ5bwkZWVhcmTJ6Nx48Z44YUX0LVrV/zyyy9wdnY2x+6IhElKSsK+ffsgSRJGjRoluhyyIxx6IXsmybIsiy6irOzsbGi1WmRlZXH+B1m96OhovPnmm+jRowd27doluhyyI3fu3EFgYCBKSkpw9uxZNG3aVHRJRA9Uk89v3tuFqJZkWcb3338PgEMuZHre3t7o27cvAA69kP1h+CCqpfj4eJw/fx5qtRrPPvus6HLIDpUderGyJjXRI2H4IKolw0TTp59+GlqtVnA1ZI+efvppuLi44NKlSzh16pTocohMhuGDqBZ0Oh1iY2MBcMiFzEej0WDgwIEAOPGU7AvDB1Et7Nq1C+np6fD29sZTTz0luhyyY4ahl7i4OOj1esHVEJkGwwdRLRiGXEaMGAGVSiW4GrJn/fv3h0ajQXJyMg4fPiy6HCKTYPggqqG8vDysXbsWAIdcyPxcXV0xZMgQABx6IfvB8EFUQxs3bkRubi6ioqLQqVMn0eWQAzAMvaxatQo6nU5wNUSPjuGDqIbKXk5dkiTB1ZAj6NWrF7y9vfHHH39g7969osshemQMH0Q1kJGRgW3btgEAxowZI7gachQqlcp4LRkOvZA9YPggqoG4uDjodDp06NABjRo1El0OORDD0MuaNWtQXFwsuBqiR8PwQVQDvIMtidKtWzcEBATgzp072LFjh+hyiB4JwwdRNV26dAlHjx6FUqnEiBEjRJdDDkapVOK5554DwKEXsn0MH0TV9MMPPwAA+vTpg4CAAMHVkCMyDL2sX78eBQUFgqshqj2GD6JqkGWZQy4kXMeOHREeHo6cnBxs2bJFdDlEtcbwQVQNhw8fxrVr1+Du7o7BgweLLocclEKhMA75ceiFbBnDB1E1GLoeQ4cOhbu7u+BqyJEZhl42bdqEnJwcwdUQ1Q7DB9FDFBcXIy4uDgCHXEi8Nm3aoGHDhigsLMTGjRtFl0NUKwwfRA+xbds23L59G4GBgejZs6focsjBSZJk7H5w6IVsFcMH0UOsX78ewL12t5OTk9hiiADjvI9t27bhzp07gqshqjmGD6KHuHz5MgDg8ccfF1wJ0T1NmzZFy5YtUVJSgnXr1okuh6jGGD6IHuLatWsAgLp16wquhOgvQ4YMAQAcOHBAbCFEtcDwQfQAhYWFuHHjBgAgKipKcDVEfzHcWyghIUFwJUQ1x/BB9ABJSUkAAA8PD/j6+gquhugvhk6coTNHZEsYPogeoOyQiyRJgqsh+ouhE3f9+nXe5ZZsDsMH0QMYWtocciFr4+/vDzc3N8iybOzQEdkKhg+iB+BkU7JWkiQZQzHnfZCtYfggegBD+GDng6yR4X3JeR9kaxg+iB7A8BclOx9kjQzvS3Y+yNYwfBBVQZZlDruQVeOwC9kqhg+iKmRmZiI7OxsAEBkZKbYYokrwdFuyVQwfRFUwHNCDgoLg6uoquBqiitj5IFvF8EFUBU42JWtneG/euXMHWVlZgqshqj6GD6IqcLIpWTsPDw/4+fkBYPeDbAvDB1EV2PkgW8B5H2SLTB4+SktL8fbbbyMqKgqurq6oW7cuPvjgA+j1elPvisis2PkgW8B5H2SLnEy9wXnz5mHRokVYtmwZmjVrhuPHj+PFF1+EVqvFlClTTL07IrPhabZkC9j5IFtk8vBx6NAhDB48GAMGDABw7xTFFStW4Pjx46beFZHZ6HQ64/0yOOxC1oydD7JFJh926dq1K3bu3IlLly4BAH777TccOHAA/fv3r3T9oqIiZGdnl1uIRLt+/TpKS0uhUqkQHBwsuhyiKrHzQbbI5J2PGTNmICsrC40bN4ZSqYROp8OcOXMwatSoStePjo7GrFmzTF0G0SMxHMgjIiKgVCoFV0NUNUPnIzExEXq9HgoFzyMg62fyd2lcXByWL1+O2NhYnDx5EsuWLcNHH32EZcuWVbr+zJkzkZWVZVxSUlJMXRJRjXGyKdmKsLAwKJVKFBUVIS0tTXQ5RNVi8s7Hf/7zH7zxxhsYOXIkAKBFixZISkpCdHQ0xo0bV2F9tVoNtVpt6jKIHgknm5KtcHJyQnh4OBISEpCQkICQkBDRJRE9lMk7H/n5+RXafkqlkqfakk0xdD442ZRsAed9kK0xeedj0KBBmDNnDsLDw9GsWTOcOnUKn3zyCSZMmGDqXRGZDTsfZEt4xgvZGpOHj88//xzvvPMOJk2ahIyMDAQHB+Pll1/Gu+++a+pdEZkNr25KtoSdD7I1Jg8fGo0GCxcuxMKFC029aSKLyMvLQ0ZGBgB2Psg2sPNBtobnZBHdx3AAr1OnDry8vMQWQ1QN7HyQrWH4ILoPJ5uSrTG8V1NTU1FYWCi4GqKHY/ggug8nm5Kt8fX1hYeHB2RZNt4WgMiaMXwQ3YeTTcnWSJLEeR9kUxg+iO7Dq5uSLeK8D7IlDB9E92Hng2wROx9kSxg+iMqQZZmdD7JJ7HyQLWH4ICojIyMD+fn5kCQJERERosshqjZ2PsiWMHwQlWE4cIeGhkKlUgmuhqj62PkgW8LwQVQGT7MlWxUZGQkAyMrKQmZmpthiiB6C4YOoDE42JVvl5uaGgIAAAOx+kPVj+CAqg5NNyZYZ3rec90HWjuGDqAwOu5AtM3Ts2Pkga8fwQVQG7+tCtoydD7IVDB9EfyouLkZKSgoAdj7INrHzQbaC4YPoT8nJydDr9XB1dTVO3COyJex8kK1g+CD6U9khF0mSBFdDVHOGzkdSUhJ0Op3gaoiqxvBB9CdONiVbFxoaCicnJxQXFyM1NVV0OURVYvgg+hMnm5KtUyqVxtsCcOiFrBnDB9Gf2Pkge8DLrJMtYPgg+hOvbkr2gDeYI1vA8EH0J17dlOwBOx9kCxg+iHDvZlx37twBwM4H2TZ2PsgWMHwQ4a8DtZ+fHzw8PARXQ1R77HyQLWD4IAInm5L9MHQ+0tLSUFBQILgaosoxfBCBp9mS/fD29oanpycAIDExUWwxRFVg+CACOx9kPyRJ4rwPsnoMH0TgabZkXzjvg6wdwwcReJot2Rd2PsjaMXyQw9Pr9QwfZFfY+SBrx/BBDi8tLQ3FxcVQKpUIDQ0VXQ7RI2Png6wdwwc5PMNfhxEREXBychJcDdGjK9v5kGVZcDVEFTF8kMPjZFOyN5GRkQCAnJwc45V7iawJwwc5PM73IHvj4uKC4OBgAJz3QdaJ4YMcHq/xQfaI8z7ImjF8kMPj1U3JHvGMF7JmJg8fkZGRkCSpwjJ58mRT74rIJNj5IHvEzgdZM5NP7T927Bh0Op3x6zNnzqB3794YPny4qXdF9MgKCgqQmpoKgJ0Psi/sfJA1M3n48PPzK/f1hx9+iHr16qFbt26m3hXRI0tKSgIAaDQa+Pj4CK6GyHTY+SBrZtaLGhQXF2P58uV47bXXIElSpesUFRWhqKjI+HV2drY5SyIqp+yQS1XvUSJbZAgfSUlJ0Ol0UCqVgisi+otZJ5yuX78ed+/exfjx46tcJzo6Glqt1riEhYWZsySicjjZlOxVcHAwVCoVSktLcf36ddHlEJVj1vCxZMkS9OvXz3i+eWVmzpyJrKws45KSkmLOkojK4WRTsldKpRIREREAOO+DrI/ZwkdSUhJ27NiBf/zjHw9cT61Ww9PTs9xCZCnsfJA9M4Rqzvsga2O28LF06VL4+/tjwIAB5toF0SNj54PsmSFUs/NB1sYs4UOv12Pp0qUYN24cb9RFVkuWZd7XhewaOx9krcwSPnbs2IHk5GRMmDDBHJsnMok7d+4gJycHwF834iKyJ+x8kLUyS1uiT58+vI0zWT3DATk4OBiurq6CqyEyPXY+yFrx3i7ksDjZlOyd4b39xx9/ID8/X3A1RH9h+CCHxcmmZO/q1KkDLy8vAOx+kHVh+CCHxcmm5Ah4mXWyRgwf5LAMB2N2Psie8QZzZI0YPshhcdiFHAE7H2SNGD7IIZWWliI5ORkAh13IvrHzQdaI4YMc0vXr11FaWgqVSvXAew8R2Tp2PsgaMXyQQzL8FRgZGQmFgr8GZL/Kdj54/SWyFjzqkkPiZFNyFBEREZAkCXl5ebh165bocogAMHyQg+JkU3IUarUaISEhADjvg6wHwwc5JF7dlBwJ532QtWH4IIfEzgc5Ep7xQtaG4YMcEjsf5EjY+SBrw/BBDic3NxcZGRkA2Pkgx8DOB1kbhg9yOIa//ry9vaHVagVXQ2R+7HyQtWH4IIfDIRdyNIbOR3JyMkpLSwVXQ8TwQQ6Ik03J0QQGBkKtVkOn0yElJUV0OUQMH+R42PkgR6NQKIzvd877IGvA8EEOh50PckSc90HWhOGDHI4hfLDzQY6EZ7yQNWH4IIciyzLv60IOiZ0PsiYMH+RQ/vjjDxQUFEChUCA8PFx0OUQWw84HWROGD3Iohr/6QkNDoVKpBFdDZDnsfJA1Yfggh8LJpuSoDOHj5s2byM3NFVwNOTqGD3IonGxKjkqr1cLb2xsAux8kHsMHORRONiVHxmt9kLVg+CCHwmEXcmSG9z07HyQawwc5FF7dlBwZOx9kLRg+yGEUFxcb72vBzgc5InY+yFowfJDDSE5OhizLcHNzg7+/v+hyiCyOnQ+yFgwf5DDKnukiSZLgaogsz9D5SExMhCzLgqshR8bwQQ6Dk03J0YWHh0OSJOTn5yMjI0N0OeTAGD7IYXCyKTk6lUqFsLAwABx6IbEYPshhsPNBxMusk3Vg+CCHwc4HEW8wR9bBLOHjxo0bGDt2LHx8fODm5obWrVvjxIkT5tgVUbWx80HEzgdZBydTbzAzMxNdunRBjx49sGXLFvj7++Pq1avw8vIy9a6Iqu3u3bvIzMwEAERGRoothkggdj7IGpg8fMybNw9hYWFYunSp8TEe7Ek0w195/v7+8PDwEFwNkTjsfJA1MPmwy8aNG9G+fXsMHz4c/v7+aNOmDb755htT74aoRjjkQnSP4XcgJSUFJSUlgqshR2Xy8HHt2jXExMSgQYMG2LZtG1555RX861//wnfffVfp+kVFRcjOzi63EJkaJ5sS3RMQEABXV1fo9XokJyeLLocclMnDh16vR9u2bTF37ly0adMGL7/8Ml566SXExMRUun50dDS0Wq1xMZyDTmRK7HwQ3SNJEi+zTsKZPHwEBQWhadOm5R5r0qRJlQl75syZyMrKMi6GG38RmVLZS6sTOTrO+yDRTD7htEuXLrh48WK5xy5duoSIiIhK11er1VCr1aYug6gcw0GWnQ8invFC4pm88zFt2jQcPnwYc+fOxZUrVxAbG4vFixdj8uTJpt4VUbXo9XokJiYCYPggAtj5IPFMHj46dOiAdevWYcWKFWjevDlmz56NhQsXYsyYMabeFVG1pKamori4GE5OTggNDRVdDpFw7HyQaCYfdgGAgQMHYuDAgebYNFGNGQ6wERERUCqVgqshEo+dDxKN93Yhu8fTbInKM/wu3L59m5c3ICEYPsju8TRbovI0Gg18fX0BsPtBYjB8kN1j+CCqiPM+SCSGD7J7HHYhqojzPkgkhg+ye+x8EFXEzgeJxPBBdq2goABpaWkA2PkgKoudDxKJ4YPsmuHiYp6envD29hZbDJEV4f1dSCSGD7JrZYdcJEkSXA2R9TAMuyQmJkKv1wuuhhwNwwfZNU42JapcWFgYFAoFCgsLkZ6eLroccjAMH2TXONmUqHLOzs4IDw8HwHkfZHkMH2TX2PkgqhrnfZAoDB9k19j5IKqa4feCnQ+yNIYPsluyLBvDBzsfRBWx80GiMHyQ3bp9+zZyc3MBAJGRkWKLIbJC7HyQKAwfZLcMf82FhITAxcVFcDVE1oedDxKF4YPsFiebEj2YofNx48YNFBUVCa6GHAnDB9ktTjYlejA/Pz+4ublBlmUkJyeLLoccCMMH2S12PogeTJIk3mCOhGD4ILvFzgfRw/EGcyQCwwfZLYYPoodj54NEYPggu1RaWmocw+awC1HV2PkgERg+yC6lpKRAp9NBrVYjKChIdDlEVoudDxKB4YPskuGvuMjISCgUfJsTVYWdDxKBR2WyS5zvQVQ9hvCRmZmJu3fvii2GHAbDB9klhg+i6nF3d4e/vz8Adj/Ichg+yC7xGh9E1cd5H2RpDB9kl9j5IKo+zvsgS2P4ILvEzgdR9bHzQZbG8EF2JycnBzdv3gTA8EFUHex8kKUxfJDdMRxAvb29odVqBVdDZP3Y+SBLY/ggu2MIH5zvQVQ9hs5HYmIi9Hq94GrIETB8kN3hZFOimgkNDYWTkxOKi4uRmpoquhxyAAwfZHc42ZSoZpycnBAeHg6A8z7IMhg+yO6w80FUc5z3QZbE8EF2h50PoprjGS9kSQwfZFdkWWbng6gW2PkgSzJ5+Hj//fchSVK5JTAw0NS7IapUeno6CgsLoVAojGPYRPRw7HyQJTmZY6PNmjXDjh07jF8rlUpz7IaoAsOBMywsDM7OzoKrIbIdhvDBzgdZglnCh5OTE7sdJASHXIhqx/A7k5qaisLCQri4uAiuiOyZWeZ8XL58GcHBwYiKisLIkSMfmKSLioqQnZ1dbiGqLU42JaodHx8feHh4ALh3sTEiczJ5+Hj88cfx3XffYdu2bfjmm2+Qnp6Ozp074/bt25WuHx0dDa1Wa1zCwsJMXRI5EHY+iGpHkiTj7w3nfZC5mTx89OvXD88++yxatGiBXr16YfPmzQCAZcuWVbr+zJkzkZWVZVxSUlJMXRI5EIYPotrjvA+yFLPM+SjL3d0dLVq0wOXLlyv9vlqthlqtNncZ5CA47EJUe+x8kKWY/TofRUVFOH/+PIKCgsy9K3JwRUVFuH79OgB2Pohqg50PshSTh4/p06dj7969SEhIwJEjRzBs2DBkZ2dj3Lhxpt4VUTnJycmQZRlubm7w8/MTXQ6RzWHngyzF5MMu169fx6hRo3Dr1i34+fmhY8eOOHz4MCIiIky9K6Jyys73kCRJcDVEtqds50OWZf4ekdmYPHysXLnS1JskqhZONiV6NJGRkQCA7OxsZGZmwtvbW2xBZLd4bxeyG5xsSvRo3NzcjBeI5NALmRPDB9kNdj6IHh1vMEeWwPBBdoOdD6JHxxvMkSUwfJDdYOeD6NGx80GWwPBBdiEzMxN3794F8NekOSKqOXY+yBIYPsguGA6UAQEBcHd3F1wNke1i54MsgeGD7AKHXIhMw9D5SEpKgk6nE1wN2SuGD7ILnGxKZBohISFwdnZGSUkJbty4IbocslMMH2QX2PkgMg2lUmm8IjXnfZC5MHyQXWDng8h0OO+DzI3hg+wCOx9EpsMzXsjcGD7I5ul0OiQmJgJg+CAyBXY+yNwYPsjmpaamoqSkBM7OzggJCRFdDpHNY+eDzI3hg2ye4a+ziIgIKJVKwdUQ2T52PsjcGD7I5p06dQoAUK9ePcGVENkHQ+cjPT0d+fn5gqshe8TwQTZv1apVAID+/fsLroTIPtSpUwdarRYAjPOpiEyJ4YNsWmJiIg4dOgRJkjB8+HDR5RDZBUmSjEMvZ8+eFVwN2SOGD7Jphq5H9+7dERQUJLgaIvvRs2dPAMCPP/4ouBKyRwwfZNNWrlwJABg5cqTgSojsy5gxYwAAmzZtQnZ2tuBqyN4wfJDNunjxIk6dOgUnJycMHTpUdDlEdqV169Zo3LgxCgsLsW7dOtHlkJ1h+CCbFRcXBwDo3bs3fH19BVdDZF8kSTJ2P3744QfB1ZC9YfggmyTLMlasWAGAQy5E5jJq1CgAwM6dO5Geni64GrInDB9kk06fPo0LFy5ArVZj8ODBosshskv16tVDx44dodfrjZ1GIlNg+CCbZJho2r9/f+P1CIjI9Dj0QubA8EE2R5ZlnuVCZCHPPfcclEoljh07hsuXL4suh+wEwwfZnGPHjiEhIQHu7u4YMGCA6HKI7Jq/vz969+4NAIiNjRVcDdkLhg+yOYaux9NPPw13d3fB1RDZv9GjRwO4Fz5kWRZcDdkDhg+yKWUnvnHIhcgyhgwZAldXV1y6dAknTpwQXQ7ZAYYPsikHDhxAamoqtFot+vbtK7ocIoeg0Wjw9NNPA+DQC5kGwwfZFMOQy9ChQ6FWqwVXQ+Q4DGe9rFy5EjqdTnA1ZOsYPshmlJaWGm9yxSEXIsvq27cvvL29kZaWht27d4suh2wcwwfZjF27duHWrVvw9fU13nGTiCxDpVJh+PDhADj0Qo+O4YNshmHIZfjw4XBychJcDZHjMQy9rFmzBoWFhYKrIVvG8EE2oaioCGvXrgXAIRciUbp06YKwsDBkZ2dj8+bNosshG8bwQTZh27ZtyMrKQnBwMLp27Sq6HCKHpFAojNf84OXW6VEwfJBNMFzbY8SIEVAo+LYlEsUQPjZv3oy7d++KLYZsltmP4tHR0ZAkCVOnTjX3rshO5efnY8OGDQA45EIkWsuWLdG8eXMUFxdjzZo1osshG2XW8HHs2DEsXrwYLVu2NOduyM5t3rwZeXl5iIqKQocOHUSXQ+TweKdbelRmCx+5ubkYM2YMvvnmG9SpU8dcuyEHUPYOtpIkCa6GiEaNGgUA2LNnD27cuCG4GrJFZgsfkydPxoABA9CrV68HrldUVITs7OxyC5FB2Vn1HHIhsg4RERHo2rUrZFk2/nFAVBNmCR8rV67EyZMnER0d/dB1o6OjodVqjUtYWJg5SiIbtWHDBhQVFaFx48Zo0aKF6HKI6E9l73RLVFMmDx8pKSmYMmUKli9fDhcXl4euP3PmTGRlZRmXlJQUU5dENoxDLkTWyXCxv5MnT+LChQuiyyEbY/LwceLECWRkZKBdu3ZwcnKCk5MT9u7di88++wxOTk4VbkikVqvh6elZbiECgNu3b+OXX34BcO8UWyKyHr6+vsY7S3PiKdWUycPHk08+idOnTyM+Pt64tG/fHmPGjEF8fDyUSqWpd0l2au3atSgtLUXr1q3RuHFj0eUQ0X0MZ73ExsZClmXB1ZAtMfkNMjQaDZo3b17uMXd3d/j4+FR4nOhByg65EJH1efrpp+Hu7o5r167hyJEj6Nixo+iSyEbwUpFklcretptDLkTWyd3dHUOGDAHAiadUMxYJH3v27MHChQstsSuyE6tXr4Ysy+jYsSMiIyNFl0NEVTAMvcTFxaG0tFRwNWQr2Pkgq8QhFyLb0KtXL/j6+iIjIwM7d+4UXQ7ZCIYPsjpJSUk4ePAgJEnC8OHDRZdDRA/g7OxsHBrlWS9UXQwfZHVWrVoFAOjWrRuCg4MFV0NED2MYelm3bh3y8/MFV0O2gOGDrA6HXIhsS8eOHREVFYXc3Fxs2rRJdDlkAxg+yKpcunQJJ0+ehFKpxLPPPiu6HCKqBkmSjJdb59ALVQfDB1mVuLg4AEDv3r3h6+sruBoiqi5D+NiyZQtu374tuBqydgwfZDVkWcaKFSsAcMiFyNY0bdoUrVu3RmlpKVavXi26HLJyDB9kNc6cOYPz589DpVIZL1xERLaDd7ql6jL55dWJassw0bR///7QarXC6tDpdCgpKRG2f6JH5ezsLOQ+WqNGjcKMGTOwb98+JCcnIzw83OI1kG1g+CCrIMuy8LNcZFlGeno67t69K2T/RKbk5eWFwMBASJJksX2GhoaiW7du2LNnD1asWIEZM2ZYbN9kWxg+yCocP34c165dg5ubGwYOHCikBkPw8Pf3h5ubm0UP2kSmIssy8vPzkZGRAQAICgqy6P5Hjx6NPXv2IDY2luGDqsTwQVbB0PUw3CXT0nQ6nTF4+Pj4WHz/RKbk6uoKAMjIyIC/v79Fh2CGDRuGyZMn4/fff8eZM2d4N3OqFCecknB6vd54iq2oIRfDHA83Nzch+ycyNcN72dLzl+rUqYP+/fsD4MRTqhrDBwn366+/4saNG9BqtXjqqaeE1sKhFrIXIt/Lhsutx8bGQq/XC6uDrBfDBwlnGHJ55plnoFarBVdDRI9q4MCB0Gg0SEpKwqFDh0SXQ1aI4YOEKi0txY8//giAFxazFuPHj7e566xUp+b169ejfv36UCqVmDp1qkXqqkr37t2F12BOrq6uGDp0KABebp0qx/BBQu3evRs3b96Er68vevbsKboch5KYmAhJkhAfH1/u8U8//RTffvut2fdv6ZDz8ssvY9iwYUhJScHs2bMtss89e/ZAkqQKp2+vXbvWYjWIYhh6WbVqFa+bQxUwfJBQhiGXYcOGwdnZWXA1BABarRZeXl6iyzCp3NxcZGRkoG/fvggODoZGoxFaj7e3t/AazK1Hjx4ICAjA7du38csvv4guh6wMwwcJU1xcjLVr1wLgkEttybKM+fPno27dunB1dUWrVq3K3VcjMzMTY8aMgZ+fH1xdXdGgQQMsXboUABAVFQUAaNOmDSRJQvfu3QFU7Eh0794d//znPzF16lTUqVMHAQEBWLx4MfLy8vDiiy9Co9GgXr162LJli/FndDod/v73vyMqKgqurq5o1KgRPv30U+P333//fSxbtgwbNmyAJEmQJAl79uwBANy4cQMjRoxAnTp14OPjg8GDByMxMbHctl977TV4eXnBx8cHr7/+OmRZrvI12rNnj/GDvmfPnsZ9vf/++2jdunW5dRcuXIjIyEjj14bX4qOPPkJQUBB8fHwwefLkcn/JFxUV4fXXX0dYWBjUajUaNGiAJUuWIDExET169ABw7wwQSZIwfvx442tadtglMzMTL7zwAurUqQM3Nzf069cPly9fNn7/22+/hZeXF7Zt24YmTZrAw8MDTz31FNLS0qp83qI5OTkZf6859EL3Y/ggYX755RfcvXsXwcHB6Nq1q+hyypFlGXl5eUKWB32Q3u/tt9/G0qVLERMTg7Nnz2LatGkYO3Ys9u7dCwB45513cO7cOWzZsgXnz59HTEyM8W7BR48eBQDs2LEDaWlpxiBYmWXLlsHX1xdHjx7FP//5T0ycOBHDhw9H586dcfLkSfTt2xfPP/888vPzAdw7fTo0NBSrVq3CuXPn8O677+LNN9/EqlWrAADTp0/Hc889Z/wATUtLQ+fOnZGfn48ePXrAw8MD+/btw4EDB4wftMXFxQCAjz/+GP/3f/+HJUuW4MCBA7hz5w7WrVtXZe2dO3fGxYsXAQBr1qwx7qu6du/ejatXr2L37t1YtmwZvv3223LDUi+88AJWrlyJzz77DOfPn8eiRYvg4eGBsLAwrFmzBgBw8eJFpKWllQtgZY0fPx7Hjx/Hxo0bcejQIciyjP79+5cLOfn5+fjoo4/w/fffGy9fPn369Go/DxEM93rZsGEDcnNzBVdDVkW2MllZWTIAOSsrS3QpZGZjxoyRAchTp04VXYpcUFAgnzt3Ti4oKJBlWZZzc3NlAEKW3NzcatWcm5sru7i4yAcPHiz3+N///nd51KhRsizL8qBBg+QXX3yx0p9PSEiQAcinTp0q9/i4cePkwYMHG7/u1q2b3LVrV+PXpaWlsru7u/z8888bH0tLS5MByIcOHaqy3kmTJsnPPvtslfuRZVlesmSJ3KhRI1mv1xsfKyoqkl1dXeVt27bJsizLQUFB8ocffmj8fklJiRwaGlphW2VlZmbKAOTdu3cbH3vvvffkVq1alVvvv//9rxwREVGuxoiICLm0tNT42PDhw+URI0bIsizLFy9elAHI27dvr3S/u3fvlgHImZmZ5R7v1q2bPGXKFFmWZfnSpUsyAPnXX381fv/WrVuyq6urvGrVKlmWZXnp0qUyAPnKlSvGdb788ks5ICCgyud8/3taBL1eL9evX18GIC9fvlxYHWQZNfn8ZueDhMjPz8eGDRsAcMilts6dO4fCwkL07t0bHh4exuW7777D1atXAQATJ07EypUr0bp1a7z++us4ePBgrfbVsmVL47+VSiV8fHzQokUL42MBAQEAYLykNwAsWrQI7du3h5+fHzw8PPDNN98gOTn5gfs5ceIErly5Ao1GY3w+3t7eKCwsxNWrV5GVlYW0tDR06tTJ+DNOTk5o3759rZ5XdTRr1qzcFUKDgoKMzzM+Ph5KpRLdunWr9fbPnz8PJycnPP7448bHfHx80KhRI5w/f974mJubG+rVq1dpHdZKkiRj94NDL1QWL69OQvz888/Izc1FZGQkHnvsMdHlVODm5iasTVzdq6waLt60efNmhISElPue4Xop/fr1Q1JSEjZv3owdO3bgySefxOTJk/HRRx/VqKb7JwNLklTuMcMFrQw1rVq1CtOmTcPHH3+MTp06QaPRYMGCBThy5MhDn1O7du0q/aDy8/OrUc0Po1AoKgxxVXZWRmXP3fA8DZcxfxT311D28bIXCqusjqp+1pqMGTMGH3zwAX755RfcvHnT5P8fyTYxfJAQZe9ga41XFZUkScg9ZmqiadOmUKvVSE5OfuBf3n5+fhg/fjzGjx+Pv/3tb/jPf/6Djz76CCqVCsC9CZymtn//fnTu3BmTJk0yPmboxhioVKoK+27bti3i4uLg7+8PT0/PSrcdFBSEw4cP44knngBw71oxJ06cQNu2bWtUo5+fH9LT08t9yN9/2vHDtGjRAnq9Hnv37kWvXr0qfL86r3HTpk1RWlqKI0eOGOei3L59G5cuXUKTJk1qVI81atiwIdq3b4/jx49j1apVmDx5suiSyApw2IUsLjs7G5s3bwbAIZdHodFoMH36dEybNg3Lli3D1atXcerUKXz55ZdYtmwZAODdd9/Fhg0bcOXKFZw9exY//fST8QPN398frq6u2Lp1K/744w9kZWWZrLb69evj+PHj2LZtGy5duoR33nkHx44dK7dOZGQkfv/9d1y8eBG3bt1CSUkJxowZA19fXwwePBj79+9HQkIC9u7diylTpuD69esAgClTpuDDDz/EunXrcOHCBUyaNKnCdTSqo3v37rh58ybmz5+Pq1ev4ssvvyx3xk51REZGYty4cZgwYQLWr1+PhIQE7NmzxzixNiIiApIk4aeffsLNmzcr7aY1aNAAgwcPxksvvYQDBw7gt99+w9ixYxESEoLBgwfX+HlZI8PQC+/1QgYMH2RxGzduRGFhIRo1alRuLgHV3OzZs/Huu+8iOjoaTZo0Qd++fbFp0ybjabQqlQozZ85Ey5Yt8cQTT0CpVBq7Tk5OTvjss8/w9ddfIzg42KQfdK+88gqGDh2KESNG4PHHH8ft27fLdUEA4KWXXkKjRo2M80J+/fVXuLm5Yd++fQgPD8fQoUPRpEkTTJgwAQUFBcZOyL///W+88MILGD9+vHFI55lnnqlxjU2aNMFXX32FL7/8Eq1atcLRo0drdfZITEwMhg0bhkmTJqFx48Z46aWXkJeXBwAICQnBrFmz8MYbbyAgIACvvvpqpdtYunQp2rVrh4EDB6JTp06QZRk///yz3Vz7xtDhPHjwIBISEkSXQ1ZAkq1s0DA7OxtarRZZWVlVtl3Jtg0cOBCbN2/Ge++9h/fff190OQCAwsJCJCQkICoqCi4uLqLLIXpk1vae7tWrF3bu3Ik5c+bgzTffFF0OmUFNPr/Z+SCLunPnDrZt2wYAGDFihOBqiMhSDJdb/+GHH2xioiyZF8MHWdTatWtRWlqKVq1a2cVkOiKqnqFDh0KtVuPcuXP47bffRJdDgjF8kEWVPcuFiByHVqvFwIEDAXDiKTF8kAWlp6dj9+7dADjkQuSIDEMvK1asMF4rhRwTwwdZzOrVq6HX6/H4448bz8YgIsfRr18/aLVaXL9+Hfv37xddDgnE8EEWwyEXIsfm4uKCYcOGAeDl1h0dwwdZRHJyMn799VdIkoThw4eLLoeIBDFccGz16tUoKioSXA2J4jCXV9fpZRxNuIOMnEL4a1zwWJQ3lArTXdbbnNu35doN218QsxQA0LpDJwQGBZts24btm7N+Ikdjzt+pbt26ITg4GKmpqZj11Q8Y9PRgmzqm2cPx2BqOlyYPHzExMYiJiUFiYiKAe3eEfPfdd9GvXz9T76ratp5Jw6xN55CWVWh8LEjrgvcGNcVTzYOsevu2XLth++/EHcZvS74FACR5tUbXebtspn4iR2Pu36nt5zMg1+0CpP6ITxctwQ/p/gj2crWJY4I9HI+t5Xhp8mGX0NBQfPjhhzh+/DiOHz+Onj17YvDgwTh79qypd1UtW8+kYeLyk+VebABIzyrExOUnsfVMmtVu35Zrz8vLwxsLYjD0mSE4Pvc5lNxMBBRKuDXqYhP1U/Xl5+fj2WefhaenJyRJqtV9Vkxlz549wmuwZZY65sj1ugAA8i8dROr/m4gLPy/FPz7/yaqPCbZ8PLbE9mvK5OFj0KBB6N+/Pxo2bIiGDRtizpw58PDwwOHDh029q4fS6WXM2nQOlV1Lz/DYrE3noNPX7mp75ty+LdZeUlKCLVu2YOzYsQgICMC81yeh4MpRQF8KZ/8o+A2eAaWb1mrrt0Xdu3fH1KlThdawbNky7N+/HwcPHkRaWhq0Wq1F9lvZc+/cubNFa7AnljzmqALqwfPxYZCcVCi9cx13D/yAG4v/B8P69cAn//0v0tJq/kHI47G47deGWSec6nQ6rFy5Enl5eejUqVOl6xQVFSE7O7vcYipHE+5USHllyQDSsgpxNOGO1W3fVmqXZRkHDx7E5MmTERwcjP79++OHH35AXl4enLQB8Ow0AkETvkTwi5/DrWFnq6vf1HR6GYeu3saG+Bs4dPW2VYQfWZZRWlpqtu1fvXoVTZo0QfPmzREYGGi8Pb0IKpVKeA22ypLHHEmSUKf7eIS+uhw+A6bBJaotICmQd/0i/v3aawgJCcGTTz6JJUuWIDMzU3j9tnI8FrX92jBL+Dh9+jQ8PDygVqvxyiuvYN26dWjatGml60ZHR0Or1RqXsLAwk9WRkVP1i12b9Sy5fWuv/cyZM3jzzTdRt25ddOnSBV999RVu3boFPz8/vPrqq/jw2w0Ifvn/oc4Tz0PlF2F19ZvD1jNp6DpvF0Z9cxhTVsZj1DeH0XXeLrO1M8ePH4+9e/fi008/hSRJkCQJiYmJxqGHbdu2oX379lCr1di/fz/Gjx+PIUOGlNvG1KlT0b17d+PXsixj/vz5qFu3LlxdXdGqVSusXr26yhq6d++Ojz/+GPv27YMkScZtSZKE9evXl1vXy8sL3377LQAgMTERkiRh7dq16NGjB9zc3NCqVSscOnSo3M/8+uuv6NatG9zc3FCnTh307dsXmZmZD33uZYdd1qxZg2bNmkGtViMyMhIff/xxuX1ERkZi7ty5mDBhAjQaDcLDw7F48eJq/T+wJyKOOQq1GzyaP4mA5z5A6OTv4N37FTRu1R6yLGPXrl34xz/+gYCAAAwZMgSrVq1Cfn6+kPqt/Xgsevu1YZbw0ahRI8THx+Pw4cOYOHEixo0bh3PnzlW67syZM5GVlWVcUlJSTFaHv6Z6d3Ks7nqW3L411p6UlIR58+ahVatWaNGiBaKjo5GYmAgPDw88//zz2Lp1K1JTU/H555/jia5dqvXXpzW+9rUhYjz1008/RadOnfDSSy8hLS0NaWlp5cL766+/jujoaJw/fx4tW7as1jbffvttLF26FDExMTh79iymTZuGsWPHYu/evZWuv3btWrz00kvo1KkT0tLSsHbt2ho9h7feegvTp09HfHw8GjZsiFGjRhm7NPHx8XjyySfRrFkzHDp0CAcOHMCgQYOg0+ke+twNTpw4geeeew4jR47E6dOn8f777+Odd94xhiCDjz/+GO3bt8epU6cwadIkTJw4ERcuXKjRc7F1oo85SncvaNoOxP+t2YqEhARER0ejZcuWKCkpwYYNGzBixAgEBATg+eefx88//4ySkhKL1S/6tbH27deGWU61ValUqF+/PgCgffv2OHbsGD799FN8/fXXFdZVq9VQq9XmKAOPRXkjSOuC9KzCSse6JACB2nunGonavl6vR25uLnJycsotWVnZcE44ijt3s6AvLoBcXAC5tBgKNy2cND5QengjMCgYTf1UZq29rkaPmJgYxMbG4sCBA8bvOzs7o3///hg9ejQGDhwINzc3k782pqi/ttuviYeNp0q4N57au2mgSU9p02q1UKlUcHNzQ2BgYIXvf/DBB+jdu3e1t5eXl4dPPvkEu3btMg6T1q1bFwcOHMDXX3+Nbt26VfgZb29vuLm5GYc7amr69OkYMGAAAGDWrFlo1qwZrly5gsaNG2P+/Plo3749vvrqK+P6zZo1M/77Qc/d4JNPPsGTTz6Jd955BwDQsGFDnDt3DgsWLMD48eON6/Xv3x+TJk0CAMyYMQP//e9/sWfPHjRu3LjGz8lWWdPvrFLhgzfeeANvvPEGzpw5gxUrVmDFihVISEjA8uXLsXz5cvj4+GD48OEYPXo0unTpYtb6K9u2rNdB1pUCuhJAVwpfdyV89Jk4fz4DxcXFKC4uRlFRkfHf939d9t+FRUUoPXYRufkF0OtKAV0poFDCydMfTl4BcNYGICQ8wi6OlwYWuc6HLMtCLiajVEh4b1BTTFx+EpD1KEw5A8iADBnSn7d0HtizLnZs/wWyLBsXvV7/wK/LPtZNeQdLziUAhu+VFkFf9GdYKM5H4wgPjB3z/yqEi5ycHOTm5iIvL6/Wz+8PAF6fjIdGo0FwcDBCQkIQHBxcYQkJCUFQUFC5kFf2tZGAcm9IubgQeVcOQ58Vj9B39xj/EpUkCd26dcPo0aPx7LPPwtu76jfqg7Zv+Ph9b1DTWn8Ym3v7NVGT8dRO9XzMXo9B+/bta7T+uXPnUFhYWCGwFBcXo02bNqYszahsRyYo6N6pfhkZGWjcuDHi4+Mf+YJ058+fx+DBg8s91qVLFyxcuBA6nQ5KpbJCHZIkITAwEBkZGY+0b1tjrb+zzZs3x5w5c/C///u/OHLkCGJjYxEXF4eMjAwsWrQIixYtQlhYGEaOHImxj/XGgmMyJEmqcf06nQ63b9/GzZs3kZGRgYyMjHL/VlxJRtrFJOjys6DPuwt9UfljdwqARvNq9dJUSyoA/8+9ERUVhaioKERGRpb7d2RkJFxdXSv9WWs6XhqYPHy8+eab6NevH8LCwpCTk4OVK1diz5492Lp1q6l3VS1PNQ9CzNi2eG9dPI6ueLPC99+OM+/+tx6v3npKpRIajca4eHh4QKPRIF92xuXMUhRCDUnpBH1+FpSFd+Gpz8HdW38YuyYXL17ExYsXH7gPHx+fCqFkgLM7ticWI1uhgS7vLvLO70Xh5SPQlxTi1p8/16ZNG4wZMwYjRoxAaGhotZ+74bW//7zyQBOdV27u7VeXNY6nAoC7u3u5rxUKBWS5/N89ZVvXhht9bd68GSEhIeXWq2l3UpKkB+7LwNnZudzPlK2jqgNpTciyXGH47/667q/DUIsj3vjMmn9nJUlCx44d0bFjR3zyySfYvXs3YmNjsXbtWqSkpGDBggUAFiCsbgPIdbtAX7czlK6e0OVnwUvKx9AmGiT9uhGz12UYA0XZgHHr1q1K3xvV5ezsDLVaDZVKBZVKVa1/3/91Wk4pjiRlIa9UglxajNKsDEi5GVDm3UT23UzcuXMHd+7cwYkTJyqtITAwsEIoMfy3Z8NwqzheGpg8fPzxxx94/vnnjae7tWzZElu3bq1R+9fUnmoehO4NfNBkWUPoZMBJqYC72gkKhcI4Wc2wVOexytaRJAWyC0sBJxXqaD0RFeQDT0/PCmHi/sXwuIuLS5VzJB50RbqcnBykpqaWW27cuFHhsaKiIty+fRu3b9/G6dOnH/qa1atXD6NHj8aoUaPQpEmTR3rtezcNNNsV9cy9/eoQOZ6qUqmg0+mqta6fnx/OnDlT7rH4+HjjB2/Tpk2hVquRnJxc6RBLTfj5+ZU7XfLy5csPnCxYmZYtW2Lnzp2YNWtWpd+vznNv2rRpueFCADh48CAaNmxo7HpQebbwO+vk5ITevXujd+/eiImJwc8//4zY2Fj89NNPSLl2Gbh2GcC3xvVTAVQ+67AiHx8f+Pn5wd/f37iU/drbxxd/FKtR4uyOEF8tOjcMhItaZbIzrKo63ufk5CAxMREJCQnG/5ZdcnJykJ6ejvT09EovbaFQKBASEoKIyEg09Q2Gp38wXvnXv/G3xsH2cYXTJUuWmHqTJuGiViHhyoM7A9ZKqZCqbNdrNBo0atQIjRo1qvLnZVlGZmZmpaGkbGBRKBR45plnMGbMGHTo0MFkv0wPqt8Wtv8wIsdTIyMjceTIEePE3wcNhfXs2RMLFizAd999h06dOmH58uU4c+aMcUhFo9Fg+vTpmDZtGvR6Pbp27Yrs7GwcPHgQHh4eGDduXLXr6tmzJ7744gt07NgRer0eM2bMqNBdeJiZM2eiRYsWmDRpEl555RWoVCrs3r0bw4cPh6+vb7We+7///W906NABs2fPxogRI3Do0CF88cUX5eaRUEW29Dvr4uKCoUOHYujQocjKysL69euxYsUK7NixAzqdDp6enhUCxP1fG/7t6+sLJyexdx2p6rXRaDRo0aIFWrRoUeF7hmP8/cGkbFgpKChASkqK8aQOtVqN2K8+gkLQrSgc5t4ujkySJHh7e8Pb27vSNy49GpHjqdOnT8e4cePQtGlTFBQUICEhocp1+/bti3feeQevv/46CgsLMWHCBLzwwgvlOmGzZ8+Gv78/oqOjce3aNXh5eaFt27Z4882KQ5YP8vHHH+PFF1/EE088geDgYHz66adVtoqr0rBhQ/zyyy9488038dhjj8HV1RWPP/44Ro0aVe3n3rZtW6xatQrvvvsuZs+ejaCgIHzwwQflJpuS/dBqtRg3bhzGjRuHvLw8KJVKuLhY7gwOUcoe49u1a1fh+7IsIyMjo1woycvLg0Ih7t6ykvwog1xmkJ2dDa1Wi6ysLHh6eoouhxxEYWEhEhISEBUVVeuDlTXdN4HIFO9popqoyec3Ox9EJmIN80+IiGwBwweRCYmef0JEZAvEDfgQERGRQ2L4ICIiIoti+CAiIiKLYvggKsMRr2pJ9onvZbJmnHBKhHtXy1QoFEhNTYWfnx9UKtNdsZDIkmRZRnFxMW7evAmFQgGVqnY3nyQyJ4YPIty79HBUVBTS0tKQmpoquhyiR+bm5obw8HChF5IiqgrDB9GfVCoVwsPDUVpaWu37pRBZI6VSCScnJ3bvyGoxfBCVIUkSnJ2da3wfEiIiqj7244iIiMiiGD6IiIjIohg+iIiIyKKsbs6H4Sa72dnZgishIiKi6jJ8bhs+xx/E6sJHTk4OACAsLExwJURERFRTOTk50Gq1D1xHkqsTUSxIr9cjNTUVGo3G5KeJZWdnIywsDCkpKfD09DTptukvfJ0tg6+z5fC1tgy+zpZhrtdZlmXk5OQgODj4odeXsbrOh0KhQGhoqFn34enpyTe2BfB1tgy+zpbD19oy+Dpbhjle54d1PAw44ZSIiIgsiuGDiIiILMqhwodarcZ7770HtVotuhS7xtfZMvg6Ww5fa8vg62wZ1vA6W92EUyIiIrJvDtX5ICIiIvEYPoiIiMiiGD6IiIjIohg+iIiIyKIcJnx89dVXiIqKgouLC9q1a4f9+/eLLsnuREdHo0OHDtBoNPD398eQIUNw8eJF0WXZvejoaEiShKlTp4ouxe7cuHEDY8eOhY+PD9zc3NC6dWucOHFCdFl2pbS0FG+//TaioqLg6uqKunXr4oMPPoBerxddms3bt28fBg0ahODgYEiShPXr15f7vizLeP/99xEcHAxXV1d0794dZ8+etUhtDhE+4uLiMHXqVLz11ls4deoU/va3v6Ffv35ITk4WXZpd2bt3LyZPnozDhw9j+/btKC0tRZ8+fZCXlye6NLt17NgxLF68GC1bthRdit3JzMxEly5d4OzsjC1btuDcuXP4+OOP4eXlJbo0uzJv3jwsWrQIX3zxBc6fP4/58+djwYIF+Pzzz0WXZvPy8vLQqlUrfPHFF5V+f/78+fjkk0/wxRdf4NixYwgMDETv3r2N91gzK9kBPPbYY/Irr7xS7rHGjRvLb7zxhqCKHENGRoYMQN67d6/oUuxSTk6O3KBBA3n79u1yt27d5ClTpoguya7MmDFD7tq1q+gy7N6AAQPkCRMmlHts6NCh8tixYwVVZJ8AyOvWrTN+rdfr5cDAQPnDDz80PlZYWChrtVp50aJFZq/H7jsfxcXFOHHiBPr06VPu8T59+uDgwYOCqnIMWVlZAABvb2/BldinyZMnY8CAAejVq5foUuzSxo0b0b59ewwfPhz+/v5o06YNvvnmG9Fl2Z2uXbti586duHTpEgDgt99+w4EDB9C/f3/Bldm3hIQEpKenl/tsVKvV6Natm0U+G63uxnKmduvWLeh0OgQEBJR7PCAgAOnp6YKqsn+yLOO1115D165d0bx5c9Hl2J2VK1fi5MmTOHbsmOhS7Na1a9cQExOD1157DW+++SaOHj2Kf/3rX1Cr1XjhhRdEl2c3ZsyYgaysLDRu3BhKpRI6nQ5z5szBqFGjRJdm1wyff5V9NiYlJZl9/3YfPgwkSSr3tSzLFR4j03n11Vfx+++/48CBA6JLsTspKSmYMmUKfvnlF7i4uIgux27p9Xq0b98ec+fOBQC0adMGZ8+eRUxMDMOHCcXFxWH58uWIjY1Fs2bNEB8fj6lTpyI4OBjjxo0TXZ7dE/XZaPfhw9fXF0qlskKXIyMjo0LiI9P45z//iY0bN2Lfvn0IDQ0VXY7dOXHiBDIyMtCuXTvjYzqdDvv27cMXX3yBoqIiKJVKgRXah6CgIDRt2rTcY02aNMGaNWsEVWSf/vOf/+CNN97AyJEjAQAtWrRAUlISoqOjGT7MKDAwEMC9DkhQUJDxcUt9Ntr9nA+VSoV27dph+/bt5R7fvn07OnfuLKgq+yTLMl599VWsXbsWu3btQlRUlOiS7NKTTz6J06dPIz4+3ri0b98eY8aMQXx8PIOHiXTp0qXCqeKXLl1CRESEoIrsU35+PhSK8h9FSqWSp9qaWVRUFAIDA8t9NhYXF2Pv3r0W+Wy0+84HALz22mt4/vnn0b59e3Tq1AmLFy9GcnIyXnnlFdGl2ZXJkycjNjYWGzZsgEajMXabtFotXF1dBVdnPzQaTYV5NO7u7vDx8eH8GhOaNm0aOnfujLlz5+K5557D0aNHsXjxYixevFh0aXZl0KBBmDNnDsLDw9GsWTOcOnUKn3zyCSZMmCC6NJuXm5uLK1euGL9OSEhAfHw8vL29ER4ejqlTp2Lu3Llo0KABGjRogLlz58LNzQ2jR482f3FmP5/GSnz55ZdyRESErFKp5LZt2/L0TzMAUOmydOlS0aXZPZ5qax6bNm2SmzdvLqvVarlx48by4sWLRZdkd7Kzs+UpU6bI4eHhsouLi1y3bl35rbfekouKikSXZvN2795d6TF53LhxsizfO932vffekwMDA2W1Wi0/8cQT8unTpy1SmyTLsmz+iENERER0j93P+SAiIiLrwvBBREREFsXwQURERBbF8EFEREQWxfBBREREFsXwQURERBbF8EFEREQWxfBBREREFsXwQURERBbF8EFEREQWxfBBREREFsXwQURERBb1/wGpn2HHmepurQAAAABJRU5ErkJggg==",
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6SYHhg5wBwweRBIqKipCRkQGAh12oaTp37gyFQoH8/Hzk5+fLXQ6RRTB8EEnA+FdqdHQ0mjdvLnM1ZM88PDwQHx8PgLMf5LgYPogkwH4PkhIPvZCjY/ggkgD7PUhKDB/k6CwSPkpLSzF58mRERUXB3d0dvXr1Mr05Ezkihg+SUteuXQEwfJDjskj4+Pvf/45t27bhyy+/RGpqKgYNGoT777+fl4kmh1RQUICcnBwIgmD60CBqis6dO0MQBOTl5eHixYtyl0MkOcnDR2VlJdavX4958+ahb9++aN26NWbNmoWYmBgsXbpU6uGIZGfs94iNjYWPj4/M1ZAj8PLyQlxcHAAuNkaOSfLwodPpoNfr4ebmZna/u7s79u7dK/VwRLLjIReyBPZ9kCOTPHx4e3ujZ8+emDNnDvLy8qDX67F27VocPHiwznPWNRoNSkpKzG5E9oThgyyB4YMcmUV6Pr788kuIoojw8HCo1Wp88skneOaZZ6BUKmttm5SUBF9fX9MtIiLCEiURWYQoirymC1kEwwc5MkEURdFSD15eXo6SkhKEhobiqaeeQllZGTZv3my2jUajgUajMX1dUlKCiIgIFBcX8/g52bzc3FxERkZCpVKhpKQE7u7ucpdEDqKsrAw+Pj4QRRGXLl1CUFCQ3CUR3VJJSQl8fX0b9Plt0XU+PD09ERoaisLCQmzduhXDhg2rtY1arYaPj4/ZjcheGGc9OnTowOBBkvLy8kJsbCwAzn6Q47FI+Ni6dSu2bNmCzMxMbNu2Dffeey9iY2Px3HPPWWI4Itmw34Msiet9kKOySPgoLi7GxIkTERcXh1GjRqFPnz745Zdf4OLiYonhiGTDfg+yJPZ9kKNSWeJBn3zySTz55JOWeGgimyGKIq/pQhbF8EGOitd2IbpDZ86cQXFxMdRqNTp06CB3OeSAunTpAuB6Y/Ply5dlroZIOgwfRHfIeMilc+fOPKRIFuHj44O2bdsC4Eqn5FgYPojuEJtNyRp46IUcEcMH0R1ivwdZA8MHOSKGD6I7oNPpTNPgDB9kSQwf5IgYPojuQHp6OioqKuDl5WU6Jk9kCcam0+zsbFy9elXmaoikwfBBdAeM/R7dunWr85pFRFLx9fVF69atAXD2gxwHwwfRHWC/B1kTD72Qo2H4ILoDPNOFrInhgxwNwwdRI2k0Ghw7dgwAl1Un62D4IEfD8EHUSMePH0d1dTUCAgIQExMjdznkBIwXmMvKysK1a9dkroao6Rg+iBrJ2O+RmJgIQRBkroacgZ+fH1q1agWAK52SY2D4IGok9nuQHHjohRwJwwdRIxnDB/s9yJoYPsiRMHwQNUJ5eTnS0tIAcOaDrIvhgxwJwwdRIxw9ehQGgwFhYWEICwuTuxxyIsaVTs+dO4fCwkKZqyFqGoYPokZgvwfJpVmzZqazq9h0SvaO4YOoEdjvQXLioRdyFAwfRI3AmQ+SE8MHOQqGD6IGKiwsxJkzZwBw5oPkwfBBjoLhg6iBjG/4LVu2REBAgMzVkDMyrnR69uxZFBUVyVsMURMwfBA1EPs9SG4BAQGIjo4GcP3MKyJ7xfBB1EDs9yBbwEMv5AgYPogayHhNF4YPkpPx0AvDB9kzhg+iBrh06RJyc3MhCILpzZ9IDpz5IEfA8EHUAMZDLnFxcfD29pa5GnJmxvBx+vRpFBcXy1wN0Z1h+CBqAPZ7kK1o3rw5IiMjAbDplOwXwwdRA7Dfg2wJD72QvWP4ILoNURQ580E2heGD7B3DB9Ft5OTk4PLly1CpVOjUqZPc5RCZwgcvMEf2iuGD6DaMsx4dO3aEm5ubzNUQ/RU+MjIyUFpaKnM1RI3H8EF0G+z3IFsTGBiIiIgIiKLIplOySwwfRLfBfg+yRVxsjOwZwwfRLRgMBtPMB6/pQraETadkzxg+iG7h9OnTKCkpgZubG9q3by93OUQmDB9kzyQPHzqdDm+99RZiYmLg7u6Oli1b4t1334XBYJB6KCKLM856dOnSBS4uLjJXQ/QXY/g4deoUm07J7kgePj744AMsW7YMixcvRnp6OubNm4f58+fj008/lXooIotjvwfZquDgYISHh0MURaSkpMhdDlGjSB4+9u/fj2HDhuHhhx9GdHQ0Hn/8cQwaNMj0FySRPTGGD/Z7kC3ioReyV5KHjz59+uC3335DRkYGAODYsWPYu3cvHnrooTq312g0KCkpMbsR2QKdTmc6jZEzH2SLuNgY2SuV1A84bdo0FBcXIy4uDkqlEnq9Hu+99x6GDx9e5/ZJSUmYPXu21GUQNVlaWhoqKyvh4+ODtm3byl0OUS2c+SB7JfnMxzfffIO1a9fi66+/xpEjR7B69WosWLAAq1evrnP76dOno7i42HTLzc2VuiSiO2I85NKtWzcoFDwxjGyPMXz8+eefKC8vl7kaooaTfObjn//8J9544w08/fTTAK4vSZ2dnY2kpCSMHj261vZqtRpqtVrqMoiajP0eZOtCQkIQGhqK/Px8pKSkoHfv3nKXRNQgkv85V1FRUeuvRKVSyVNtye7wTBeyBzz0QvZI8vAxdOhQvPfee9i8eTOysrKwceNGfPTRR3j00UelHorIYjQaDVJTUwEwfJBtY/ggeyT5YZdPP/0Ub7/9NiZMmICCggKEhYVh3LhxeOedd6QeishiMjMzUV1dDS8vL0RFRcldDlG9GD7IHkkePry9vbFw4UIsXLhQ6ocmsprs7GwAQHR0NARBkLkaovoZw0d6ejqqqqrg5uYmc0VEt8cWfqI6GMNHZGSkzJUQ3VpoaCg8PT1hMBh4tiDZDYYPojoYwwcPuZCtEwTB9HOalZUlbzFEDcTwQVQHhg+yJ9HR0QAYPsh+MHwQ1SEnJwcAwwfZB+PPqTE0E9k6hg+iOnDmg+wJZz7I3jB8EN1Ep9PhwoULABg+yD5w5oPsDcMH0U0uXLgAvV4PV1dXhISEyF0O0W1x5oPsDcMH0U2Mfz1GRETwgnJkF4zh48KFC9BqtfIWQ9QAfGclugn7PcjeBAUFwc3NDaIo4vz583KXQ3RbDB9EN2H4IHvDtT7I3jB8EN2Eq5uSPWLTKdkThg+im3CND7JHbDole8LwQXQTHnYhe8TwQfaE4YOoBlEUOfNBdomHXcieMHwQ1XD58mVUVlZCEARERETIXQ5Rg3Hmg+wJwwdRDca/GkNDQ+Hq6ipzNUQNZ5z5OH/+PHQ6nczVEN0awwdRDez3IHsVGhoKFxcX6PV60+UBiGwVwwdRDQwfZK8UCgXX+iC7wfBBVAPDB9kzNp2SvWD4IKqBC4yRPWPTKdkLhg+iGniaLdkzznyQvWD4IKqBh13InnHmg+wFwwfRDaWlpSgsLATA8EH2ieGD7AXDB9ENxlkPf39/eHt7y1wNUeMZQ3Nubi70er3M1RDVj+GD6AYeciF7FxYWBpVKherqauTn58tdDlG9GD6IbmD4IHunUqnQokULAGw6JdvG8EF0A8MHOQL2fZA9YPgguoHhgxyBMXxw5oNsGcMH0Q3GNT64wBjZMy6xTvaA4YPoBs58kCPgYReyBwwfRAC0Wq3p7ACGD7JnXOWU7AHDBxGur4sgiiLc3d0RGBgodzlEd6xmz4fBYJC3GKJ6MHwQwfyCcoIgyFwN0Z1r0aIFFAoFNBoNCgoK5C6HqE4MH0Rgvwc5DhcXF4SHhwNg3wfZLoYPIjB8kGNh0ynZOsnDR3R0NARBqHWbOHGi1EMRSYbhgxwJm07J1qmkfsDDhw+bXdDoxIkTGDhwIJ544gmphyKSDMMHORLOfJCtkzx83HymwPvvv49WrVqhX79+Ug9FJBkuMEaOhDMfZOskDx81abVarF27FlOmTKn3DAKNRgONRmP6uqSkxJIlEdViMBiQm5sLgDMf5Bg480G2zqINp99//z2KioowZsyYerdJSkqCr6+v6RYREWHJkohquXjxIrRaLZRKpeksASJ7VjN8iKIobzFEdbBo+Fi5ciUGDx6MsLCwereZPn06iouLTTfjX6BE1mKcmg4PD4dKZdHJQCKrMP4RV1lZiStXrshcDVFtFnunzc7Oxq+//ooNGzbccju1Wg21Wm2pMohui82m5GjUajXCwsKQl5eHrKwsrtpLNsdiMx+rVq1CUFAQHn74YUsNQSQJhg9yRGw6JVtmkfBhMBiwatUqjB49mtPYZPMYPsgRsemUbJlFwsevv/6KnJwcjB071hIPTyQphg9yRAwfZMssMi0xaNAgdliT3TCu8cHwQY6Eh13IlvHaLuTURFE0u6ItkaPgzAfZMoYPcmpFRUUoLS0FwPBBjqXmzAdnosnWMHyQUzPOegQGBsLDw0PmaoikYwwfpaWlKCwslLkaInMMH+TU2GxKjsrd3R3BwcEAeOiFbA/DBzk1hg9yZGw6JVvF8EFOjeGDHBmbTslWMXyQU2P4IEfGmQ+yVQwf5NQYPsiRceaDbBXDBzk1LjBGjozhg2wVwwc5rcrKShQUFABg+CDHxMMuZKsYPshpGWc9vLy84OfnJ28xRBZgDB9FRUUoLi6WuRqivzB8kNOq2e8hCILM1RBJz8vLCwEBAQA4+0G2heGDnBabTckZsO+DbBHDBzkthg9yBgwfZIsYPshpMXyQM2DTKdkihg9yWgwf5Aw480G2iOGDnBbDBzkDznyQLWL4IKek0+lw4cIFAAwf5Ng480G2iOGDnFJeXh70ej1cXFwQEhIidzlEFmMM11evXkVZWZnM1RBdx/BBTsk4BR0REQGFgr8G5Lh8fX1Ni+jx0AvZCr7rklNivwc5Ex56IVvD8EFOieGDnAmbTsnWMHyQU2L4IGfCmQ+yNQwf5JQYPsiZGMMHZz7IVjB8kFNi+CBnYvw558wH2QqGD3I6oigiJycHAMMHOQcediFbw/BBTufKlSuorKyEIAiIiIiQuxwiizOG7IKCAlRWVspcDRHDBzkh4yGX0NBQuLq6ylwNkeX5+/vD29sbAPs+yDYwfJDTMb75RkZGylwJkXUIgsDTbcmmMHyQ02GzKTkj9n2QLWH4IKfD8EHOiOGDbAnDBzkdhg9yRjzsQraE4YOcDsMHOSPOfJAtYfggp8PwQc6IMx9kSywSPi5cuIARI0YgICAAHh4e6Ny5M5KTky0xFFGjlJaWorCwEADDBzkX48xHXl4eNBqNvMWQ05M8fBQWFqJ3795wcXHBzz//jLS0NHz44Yfw8/OTeiiiRjOubFpz3QMiZ9C8eXN4eHgA+Ov3gEguKqkf8IMPPkBERARWrVplus+YuInkxkMu5KyMa32kp6cjOzsbbdq0kbskcmKSz3z8+OOPSExMxBNPPIGgoCB06dIFn3/+udTDEN0RLjBGzoxNp2QrJA8f586dw9KlS9GmTRts3boVL774Il555RWsWbOmzu01Gg1KSkrMbkSWwpkPcmZsOiVbIflhF4PBgMTERMydOxcA0KVLF5w8eRJLly7FqFGjam2flJSE2bNnS10GUZ0YPsiZceaDbIXkMx+hoaFo166d2X3x8fH1NjhNnz4dxcXFpltubq7UJRGZMHyQM2P4IFsh+cxH7969cerUKbP7MjIy6n2zV6vVUKvVUpdBVCeGD3JmPOxCtkLymY9XX30VBw4cwNy5c3HmzBl8/fXXWLFiBSZOnCj1UESNotVqkZ+fD4Dhg5yTcebjwoULqK6ulrcYcmqSh4+77roLGzduxH//+1906NABc+bMwcKFC/Hss89KPRRRo5w/fx6iKMLd3R2BgYFyl0NkdUFBQVCr1TAYDDh//rzc5ZATk/ywCwAMGTIEQ4YMscRDE92xmqfZCoIgczVE1qdQKBAVFYWMjAxkZWUhJiZG7pLISfHaLuQ02O9BxKZTsg0MH+Q0uMAYEZtOyTYwfJDT4MwHEWc+yDYwfJDTYPgg4swH2QaGD3IaDB9EnPkg28DwQU7BYDCYVs9l+CBnZgwfubm50Ol08hZDTovhg5zCpUuXoNVqoVQqER4eLnc5RLIJDQ2Fi4sL9Ho98vLy5C6HnBTDBzkF4yGX8PBwqFQWWd6GyC4oFArTGV889EJyYfggp8B+D6K/sOmU5MbwQU6B4YPoL2w6JbkxfJBTYPgg+gvDB8mN4YOcAlc3JfoLD7uQ3Bg+yClw5oPoL5z5ILkxfJDDE0WR4YOoBuPvQU5ODgwGg8zVkDNi+CCHV1RUhNLSUgA87EIEXD/lXKlUorq6Gvn5+XKXQ06I4YMcXk5ODgAgMDAQHh4eMldDJD+VSoUWLVoAYN8HyYPhgxweD7kQ1ca+D5ITwwc5PIYPotoYPkhODB/k8Bg+iGrj6bYkJ4YPcngMH0S1ceaD5MTwQQ6PC4wR1caZD5ITwwc5PM58ENVmnPnIzs6GKIryFkNOh+GDHFplZSUKCgoAMHwQ1dSiRQsoFApUVVXh0qVLcpdDTobhgxxabm4uAMDLywv+/v4yV0NkO1xdXREWFgaAh17I+hg+yKHVPOQiCILM1RDZFjadklwYPsihsd+DqH5sOiW5MHyQQ2P4IKofZz5ILgwf5NAYPojqx/BBcmH4IIfG8EFUPx52IbkwfJBD4wJjRPWrOfPBtT7Imhg+yGHpdDqcP38eAGc+iOoSEREBAKioqMDVq1dlroacCcMHOay8vDzo9Xq4uLggNDRU7nKIbI6bm5vpd4N9H2RNDB/ksHJycgBc/+tOoeCPOlFd2HRKcuA7MjksNpsS3R6bTkkODB/ksBg+iG7POPNx5swZeQshpyJ5+Jg1axYEQTC7hYSESD0M0W0Zp5EZPojql5CQAAA4evSozJWQM1FZ4kHbt2+PX3/91fS1Uqm0xDBEt3Ts2DEAQFxcnMyVENmubt26Abj++6LT6aBSWeRjgciMRX7KVCoVZztIVlqtFikpKQCAu+66S95iiGxY69at4e3tjdLSUqSlpZlmQogsySI9H6dPn0ZYWBhiYmLw9NNP49y5c/Vuq9FoUFJSYnYjaqrU1FRotVo0a9YMLVu2lLscIpulUChMsx9//PGHzNWQs5A8fPTo0QNr1qzB1q1b8fnnn+PixYvo1atXvQvYJCUlwdfX13QzLnpD1BSHDx8GACQmJkIQBJmrIbJtxvCRnJwscyXkLCQPH4MHD8bf/vY3dOzYEffffz82b94MAFi9enWd20+fPh3FxcWmW25urtQlkRMyhg8eciG6PYYPsjaLdxZ5enqiY8eOOH36dJ3fV6vVUKvVli6DnIxx+pjhg+j2EhMTAVxvOq2uroaLi4vMFZGjs/g6HxqNBunp6VzemqymoqICJ0+eBMDwQdQQrVq1go+PD6qqqpCWliZ3OeQEJA8fU6dOxa5du5CZmYmDBw/i8ccfR0lJCUaPHi31UER1Onr0KPR6PUJDQxEWFiZ3OUQ2T6FQoGvXrgB46IWsQ/Lwcf78eQwfPhyxsbF47LHH4OrqigMHDnChJ7Ia9nsQNZ7x0AvDB1mD5D0f69atk/ohiRqF4YOo8Xi6LVkTr+1CDofhg6jxaq50Wl1dLXM15OgYPsihFBUVmc6sMk4jE9HttWrVCr6+vtBoNGw6JYtj+CCHYjxe3bJlSwQEBMhcDZH9qNl0ykMvZGkMH+RQeMiF6M5xsTGyFoYPcig1l1UnosZh+CBrYfggh8KZD6I7d/NKp0SWwvBBDuPSpUvIzc2FIAimY9dE1HA1m06NqwQTWQLDBzkM46xHfHw8vL29Za6GyP7UDO489EKWxPBBDoOHXIiaznjohWe8kCUxfJDDYPggajo2nZI1MHyQQxBF0fSXGsMH0Z0zho/jx4+z6ZQshuGDHEJOTg4uX74MlUqFhIQEucshsltsOiVrYPggh2A85JKQkAA3NzeZqyGyX4Ig8CJzZHEMH+QQ2O9BJB32fZClMXyQQ2D4IJKO8YwXhg+yFIYPsnsGg8H0JsnwQdR0xpmPY8eOQavVylwNOSKGD7J7GRkZKCkpgbu7O9q1ayd3OUR2r2XLlvDz84NWq2XTKVkEwwfZPWNTXNeuXaFSqWSuhsj+1Ww65aEXsgSGD7J7vJItkfR4xgtZEsMH2T02mxJJjzMfZEkMH2TXqqurcfToUQAMH0RSMs4kHj9+nE2nJDmGD7JrJ0+eRFVVFXx9fdG6dWu5yyFyGDExMfD394dWq8WJEyfkLoccDMMH2bWa/R4KBX+ciaQiCAK6du0KgIdeSHp8tya7xn4PIsvhYmNkKQwfZNcYPogsh2e8kKUwfJDdqqysNB2L5mm2RNIzho/U1FQ2nZKkGD7Ibh07dgw6nQ5BQUGIiIiQuxwih8OmU7IUhg+yWzUPuQiCIHM1RI6HK52SpTB8kN1ivweR5bHvgyyB4YPsFsMHkeVx5oMsgeGD7FJJSQlOnToFgOGDyJJqrnSq0WhkroYcBcMH2aXk5GSIooioqCgEBgbKXQ6Rw4qOjoa/vz+qq6vZdEqSYfggu2Q8/sxTbIksi02nZAkMH2SX2O9BZD1c6ZSkxvBBdonhg8h6eMYLSc3i4SMpKQmCIGDy5MmWHoqcxOXLl5GVlQXgrzdFIrKcmiudsumUpGDR8HH48GGsWLECCQkJlhyGnIzxr6/Y2Fj4+vrKXA2R44uOjkazZs3YdEqSsVj4KCsrw7PPPovPP/8c/v7+lhqGnBAPuRBZV82mUx56ISlYLHxMnDgRDz/8MO6///5bbqfRaFBSUmJ2I7oVhg8i6+MZLyQllSUedN26dThy5IjpQ+JWkpKSMHv2bEuUQQ5IFEWGDyIZ8IwXkpLkMx+5ubmYNGkS1q5dCzc3t9tuP336dBQXF5tuubm5UpdEDuTChQu4dOkSlEolOnXqJHc5RE6DTackJcnDR3JyMgoKCtCtWzeoVCqoVCrs2rULn3zyCVQqFfR6vdn2arUaPj4+Zjei+hhnPTp06AAPDw+ZqyFyHlFRUaam09TUVLnLITsnefgYMGAAUlNTkZKSYrolJibi2WefRUpKCpRKpdRDkhPhIRcieQiCwEMvJBnJw4e3tzc6dOhgdvP09ERAQAA6dOgg9XDkZBg+iOTDM15IKlzhlOyGKIqmNz2GDyLr4xkvJBWLnO1ys507d1pjGHJwZ86cQVFREdzc3DiLRiQD42GXEydOQKPRQK1Wy1wR2SvOfJDdMB5y6dy5M1xcXGSuhsj5REZGIiAggE2n1GQMH2Q3jOHD+NcXEVkXVzolqTB8kN1gvweR/HjGC0mB4YPsgk6nw5EjRwAwfBDJiU2nJAWGD7IL6enpqKiogLe3N2JjY+Uuh8hp1VzptKqqSuZqyF4xfJBdMPZ7dOvWDQoFf2yJ5BIZGYnmzZtDp9Ox6ZTuGN/FyS5wcTEi21Cz6ZSHXuhOMXyQXWD4ILIdPOOFmorhg2yeRqPB8ePHAfA0WyJbwDNeqKmsssIpUVMcP34c1dXVCAgIQHR0tMXH0+v1qK6utvg4RJbi4uJi0Yt4Gmc+Tpw4gaqqKri5uVlsLHJMDB9k82oechEEwWLjiKKIixcvoqioyGJjEFmLn58fQkJCLPI7ExERgebNm+PKlSs4fvw4unfvLvkY5NgYPsjmWavfwxg8goKC4OHhYdGgQ2QpoiiioqICBQUFAIDQ0FDJxzA2nW7duhXJyckMH9RoDB9k86wRPvR6vSl4BAQEWGwcImtwd3cHABQUFCAoKMgih2ASExNN4YOosdhwSjatrKwM6enpACwbPow9Hh4eHhYbg8iajD/Llupf4hkv1BQMH2TTjhw5AoPBgBYtWiAkJMTi4/FQCzkKS/8sG8PHyZMnudIpNRrDB9k0XsmWyDZFREQgMDAQOp3OdCo8UUMxfJBN4+Ji1jdmzBg88sgjcpfRKA2p+fvvv0fr1q2hVCoxefJkq9RVn/79+8teQ1NxpVNqCoYPsmnG48kMH9LLysqCIAhISUkxu3/RokX44osvLD6+tUPOuHHj8PjjjyM3Nxdz5syxypg7d+6EIAi1Tt/esGGD1WqwJPZ90J3i2S5ksy5fvoyzZ88C4GEXa/L19ZW7BMmVlZWhoKAADzzwAMLCwuQuB82aNZO7BElwpVO6U5z5IJv19ttvAwA6deoEf39/mauxTaIoYt68eWjZsiXc3d3RqVMnfPfdd6bvFxYW4tlnn0VgYCDc3d3Rpk0brFq1CgAQExMDAOjSpQsEQUD//v0B1J6R6N+/P15++WVMnjwZ/v7+CA4OxooVK1BeXo7nnnsO3t7eaNWqFX7++WfTPnq9Hs8//zxiYmLg7u6O2NhYLFq0yPT9WbNmYfXq1fjhhx8gCAIEQcDOnTsBABcuXMBTTz0Ff39/BAQEYNiwYcjKyjJ77ClTpsDPzw8BAQF4/fXXIYpiva/Rzp074e3tDQC47777TGPNmjULnTt3Ntt24cKFZqvoGl+LBQsWIDQ0FAEBAZg4caLZGSQajQavv/46IiIioFar0aZNG6xcuRJZWVm49957AQD+/v4QBAFjxowxvaY1D7sUFhZi1KhR8Pf3h4eHBwYPHozTp0+bvv/FF1/Az88PW7duRXx8PLy8vPDggw8iPz+/3udtDTWbTsvLy2WthewLwwfZpJ07d2L58uUAgE8++cTq44uiiPLycllut/ogvdlbb72FVatWYenSpTh58iReffVVjBgxArt27QJwPcClpaXh559/Rnp6OpYuXYrmzZsDAA4dOgQA+PXXX5Gfn48NGzbUO87q1avRvHlzHDp0CC+//DLGjx+PJ554Ar169cKRI0fwwAMPYOTIkaioqAAA0xlK3377LdLS0vDOO+9gxowZ+PbbbwEAU6dOxZNPPmn6AM3Pz0evXr1QUVGBe++9F15eXti9ezf27t1r+qDVarUAgA8//BD/+c9/sHLlSuzduxfXrl3Dxo0b6629V69eOHXqFABg/fr1prEaaseOHTh79ix27NiB1atX44svvjA7LDVq1CisW7cOn3zyCdLT07Fs2TJ4eXkhIiIC69evBwCcOnUK+fn5ZgGspjFjxuCPP/7Ajz/+iP3790MURTz00ENmIaeiogILFizAl19+id27dyMnJwdTp05t8POwhBYtWiAmJgY6nQ7vvfeerLWQnRFtTHFxsQhALC4ulrsUkkl5ebnYqlUrEYA4fvx4q4xZWVkppqWliZWVlaIoimJZWZkIQJZbWVlZg2ouKysT3dzcxH379pnd//zzz4vDhw8XRVEUhw4dKj733HN17p+ZmSkCEI8ePWp2/+jRo8Vhw4aZvu7Xr5/Yp08f09c6nU709PQUR44cabovPz9fBCDu37+/3nonTJgg/u1vf6t3HFEUxZUrV4qxsbGiwWAw3afRaER3d3dx69atoiiKYmhoqPj++++bvl9dXS22aNGi1mPVVFhYKAIQd+zYYbpv5syZYqdOncy2+/jjj8WoqCizGqOiokSdTme674knnhCfeuopURRF8dSpUyIAcdu2bXWOu2PHDhGAWFhYaHZ/v379xEmTJomiKIoZGRkiAPH33383ff/KlSuiu7u7+O2334qiKIqrVq0SAYhnzpwxbbNkyRIxODi43ud888+0pWzYsEEEIKpUKvH48eMWHYtsW2M+vznzQTbn7bffxtmzZxEREYH3339f7nJsVlpaGqqqqjBw4EB4eXmZbmvWrDH1yowfPx7r1q1D586d8frrr2Pfvn13NFZCQoLp30qlEgEBAejYsaPpvuDgYAAwLekNAMuWLUNiYiICAwPh5eWFzz//HDk5ObccJzk5GWfOnIG3t7fp+TRr1gxVVVU4e/YsiouLkZ+fj549e5r2UalUFu0Jat++vdkKoaGhoabnmZKSAqVSiX79+t3x46enp0OlUqFHjx6m+wICAhAbG2taYA+4vmhYq1at6qxDTo8++iiGDRsGnU6HcePGwWAwyF0S2QE2nJJNOXjwIBYuXAgAWL58OXx8fGSpw8PDA2VlZbKN3RDGN/nNmzcjPDzc7HtqtRoAMHjwYGRnZ2Pz5s349ddfMWDAAEycOBELFixoVE0uLi5mXwuCYHafcUErY03ffvstXn31VXz44Yfo2bMnvL29MX/+fBw8ePC2z6lbt2746quvan0vMDCwUTXfjkKhqHWIq67VQOt67sbnaVzGvClurqHm/TUXCqurjvr2tbZPP/0Uv/32G/bv34/ly5dj/PjxcpdENo7hg2yGRqPB2LFjYTAYMHLkSAwePFi2WgRBgKenp2zjN0S7du2gVquRk5Nzy7+8AwMDMWbMGIwZMwb33HMP/vnPf2LBggVwdXUFcL2BU2p79uxBr169MGHCBNN9xtkYI1dX11pjd+3aFd988w2CgoLqDZ6hoaE4cOAA+vbtCwDQ6XRITk5G165dG1VjYGAgLl68aPYhf/Npx7fTsWNHGAwG7Nq1C/fff3+t7zfkNW7Xrh10Oh0OHjxo6kW5evUqMjIyEB8f36h65BIREYG5c+filVdewRtvvIFhw4bZxFlFZLt42IVsxty5c5GWloagoCB8/PHHcpdj87y9vTF16lS8+uqrWL16Nc6ePYujR49iyZIlWL16NQDgnXfewQ8//IAzZ87g5MmT+Omnn0wfaEFBQXB3d8eWLVtw6dIlFBcXS1Zb69at8ccff2Dr1q3IyMjA22+/bVowzig6OhrHjx/HqVOncOXKFVRXV+PZZ59F8+bNMWzYMOzZsweZmZnYtWsXJk2ahPPnzwMAJk2ahPfffx8bN27En3/+iQkTJtRaR6Mh+vfvj8uXL2PevHk4e/YslixZYnbGTkNER0dj9OjRGDt2LL7//ntkZmZi586dpsbaqKgoCIKAn376CZcvX65zNq1NmzYYNmwYXnjhBezduxfHjh3DiBEjEB4ejmHDhjX6ecllwoQJ6N69O0pKSjBp0iS5yyEbx/BBNuH48eOYO3cuAGDx4sW8smwDzZkzB++88w6SkpIQHx+PBx54AJs2bTKdRuvq6orp06cjISEBffv2hVKpxLp16wBc75X45JNPsHz5coSFhUn6Qffiiy/isccew1NPPYUePXrg6tWrZrMgAPDCCy8gNjbW1Bfy+++/w8PDA7t370ZkZCQee+wxxMfHY+zYsaisrDTNhLz22msYNWoUxowZYzqk8+ijjza6xvj4eHz22WdYsmQJOnXqhEOHDt3R2SNLly7F448/jgkTJiAuLg4vvPCC6bTT8PBwzJ49G2+88QaCg4Px0ksv1fkYq1atQrdu3TBkyBD07NkToiji//2//1frUIstUyqVWLFiBZRKJb777jts2rRJ7pLIhgmirRw0vKGkpAS+vr4oLi6W7Xg/WZdOp8Pdd9+N5ORkPProo1i/fr3VL/BWVVWFzMxMxMTEwM3NzapjE1mCXD/Tr7/+OubPn4+IiAikpaXBy8vLamOTvBrz+c2ZD5LdRx99hOTkZPj5+WHJkiW8siyRHZs5cyaio6ORm5trWiiQ6GYMHySrjIwMzJw5EwDw8ccfIzQ0VOaKiKgpPD09sXTpUgDXFwjk0utUF4YPko3BYMDf//53VFVVYdCgQRg9erTcJRGRBB588EE8/fTTMBgMeOGFF6DT6eQuiWwMwwfJZtmyZdizZw88PT2xfPlyHm4hciALFy6En58fjh49KsslEsi2MXyQLLKzszFt2jQAwPvvv292MS8isn/BwcGYP38+gOurFmdnZ8tcEdkShg+yOlEUMW7cOJSVlaF37961TsEkIscwduxY3HPPPaioqMDEiRNtZkVWkp/TrHCqN4g4lHkNBaVVCPJ2Q/eYZlAqGj7N35T9Obb5vl9++SW2bt0KtVqNlStXQqGoOwPL+byJnIUlf88UCgWWL1+OTp06YfPmzfjuu+/wxBNPWGVsOZ+3o44tJcnDx9KlS7F06VJkZWUBuH5RpnfeeUfWpbK3nMjH7E1pyC+uMt0X6uuGmUPb4cEOtz+7oin7c2zzfV/u2RyTJ08GAMyaNQuxsbFWG7uhz5vIWVjj9yw+Ph7Tp0/Hu+++i1deeQUDBw6En5+fw723OfrYUpN8kbFNmzZBqVSidevWAIDVq1dj/vz5OHr0KNq3b3/b/aVeZGzLiXyMX3sENz9JY85bOqKr6UUXRRE6nQ5arRZarRYajQa/pOZixncpMOh1gEF3fU+FEgpBASiUeO+xBNzXLhQqlQpKpdL0X6VSie2nLuOVdcchKpRmzZR1jd3U2qXc15JjF2yci4qMfejatSsOHjwIlap2/pXjeXORMXI0t/uZtubvWVVVFTp16oSMjAyMGzcOj7w00+He26w1tkEUIVZrIOq1UKg9oVAoLT52QzXm89sqK5w2a9YM8+fPx/PPP3/bbaUMH3qDiD4fbEd+cRVEnRYX1/4Tor4aol4H8UaYEPTVcFOKpsBhOQIUbp5waR4Jl+aRcG0eheCoNvjtXyMQGhJ8y9rrfjQgxNcNe6fdV2vKrCn7WnLs8lO/48r3SRAUSvzxxx/o2qWzzTxvho87V1FRgZEjR2Lbtm0oLS1FYWEh/Pz8ZKll586duPfee2WtwVbc6mdajt+zXbt2oX///gCA9uMWosyvtdXGtvbzVgjXr5Cs0WhMf8hWVFbh8SW7UVBUduMzqBqithIGbSUMmgqI2gp4Clo8nhCAstJSlJSUmN0yzhdAV1kOg7YSEA03BlVA4e4DpYcv3H2a4aHucQgODkJQUBCCg4MRFHT93wHNA/HM2nQUVNZZ+m1ft4ZqzOe3RXs+9Ho9/ve//6G8vBw9e/ascxuNRgONRmP6uqSkRLLxD2Ve++sHRVBAe+lsndvVd+F0QRAApQugUEFQqiAolBAhAgYDYNBDFA2AwQCVIEKv15kus103EYaqMmjOp0FzPg0AcA1A2MqpaN68Odq3b48OHTqgffv2aN++PSo8Quv9Ib/+aEB+cRUOZV5Dz1bm10Exe96N3Lep+9e3r76yFNe2XV94yLvH49D4RNT52JYYuyH72qv+/fujc+fOWLhwoWw1rF69Gnv27MG+ffvQvHlz+Pr6WmXcup57r169kJ+fb7Ua7JUcv2f9+vXD2LFj8Z///AcZ332E0OcWQVDWvnaNrb+3iXodqrJSUJ6+C5r80xD11cCNP2qz9dVwn6lHdfWd/SFbCGDhb43YQTTAUFEEQ0URqq9kY925o7fcXHBxg9LDFwpPPyg9/BD4yHQISpUs740WCR+pqano2bMnqqqq4OXlhY0bN6Jdu3Z1bpuUlITZs2dbogwUlNb4IVMoEfTE7Os/7MobYUKpgqBwwdvDOmJIlyi4urqa3X5KvYjJ3xy77TiLnu6MYZ3DIYoiDAYDdDodfjiSi6nfHr0RUPSAwQB9RSGqr+RAeyUH1ZezUX0lB/rii7hy5Qp27dqFXbt2mT2u0tP/xkxJ1I3/RsAlIAJK978SpdlzvMV9t319JNq/vn0Lt/8bhvIiuAREwK/X01Yd+063uxO20sxVkyiK0Ov1dR7iksLZs2cRHx+PDh06WOTxG8PV1RUhISFyl2Hz5Po9mz9/PtZv/AHFV3NQcnADfHs9ZbWxm7K/Xq/Hbzu24+rW/6Di1D4YKuv/I7m6jvuUSiVULq6oFhWAygWCwuX654+rGxSuHlCoPSCoPaBw9cDAztHo1jocPj4+pltqgRZL9+VB4frXdoJSBUNlKfQVRdCXF0FfUYRhsV4IVFWhoKAAly5dQkFBAQoKCpB/8RKqtRqI1VXQFVcBxZcguLhBUJq/J1jyvfFmFnk3io2NRUpKCoqKirB+/XqMHj0au3btqjOATJ8+HVOmTDF9XVJSgoiIuv8qbqwg77+mGgVBgHvLbnVu16ldHFq0qJ32gn3cGzWOIAimfo+IIH8o1B5m2ym9/OEa1BKeNe5bNSIBPpoCnDx5EidOnMDJkydx8uRJZGdnQ19eCH15IaqyzQOQwsMXLgERcAlogR0u98DtUjfEx8cjIiICgiCYPe+G1N3Q+xuyXV33VZ5LRvmJ3wAICBj8CgSVi9XGbsoYjWXtZq4xY8aYQuuiRYsAAJmZmcjKysK9996LLVu24M0338Tx48exdetWrF69GkVFRfj+++9NjzF58mSkpKRg586dAK4Hlfnz52PZsmXIz89H27Zt8fbbb+Pxxx+vs4b+/fubQrMgCOjXrx927twJQRCwceNGPPLII6Zt/fz8sHDhQowZMwZZWVmIiYnB+vXr8emnn+LgwYNo06YNli1bZjZL+vvvv2PGjBk4fPgw1Go1unfvjnXr1uHVV1+95XOvedhl/fr1eOedd3DmzBmEhobi5ZdfxmuvvWYaIzo6Gv/4xz9w5swZ/O9//4O/vz/eeust/OMf/2jq/yKbJdfvWbNmzTD5rX9h9mvjUbRvHTzi+sClWbhVxm7s/qIo4tChQ1i3bh2+/fZb5OXlmb6v8PCDZ1wfuLe6Cwo3rxp/1LpgyYju6BUbAldXV6jVari6ukKpVGL/2asY/vmB2479zxfurjX7EHL2Kv6TWXtfpZc/lF7+pq//Xse+ALDvzBU8vWSHKagYKopgqNbU2s5S7411sUj4cHV1NTWcJiYm4vDhw1i0aBGWL19ea1u1Wg21Wm2JMtA9phlCfd1wsbiqVpMN8Ndxru4xzSTfv6H79m3XAkpFBLp1Mw9GRcUl6DN9DS5mnYb2xixJ9dXz0JdehqGiGJqKYmhyT2BRyhYsurGPp6cn4uLiEBcXD8NlV1R5hMAlIAIq/1CzhGvN523QVODq1sUAAO/E/4NbeLzsr3l9YzdFfc1cF4urMH7tEUmauW62aNEiZGRkoEOHDnj33XcBAIGBgaYzzV5//XUsWLAALVu2bHD/w1tvvYUNGzZg6dKlaNOmDXbv3o0RI0YgMDAQ/fr1q7X9hg0b8MYbb+DEiRPYsGEDXF1dG/Uc3nzzTSxYsABt2rTBm2++ieHDh+PMmTNQqVRISUnBgAEDMHbsWHzyySdQqVTYsWMH9Hr9bZ+7UXJyMp588knMmjULTz31FPbt24cJEyYgICAAY8aMMW334YcfYs6cOZgxYwa+++47jB8/Hn379kVcXFyjno+9kPP37K1J/8DCZf9G8elkXPtlCYKeeq9WQ76lxr7d/hBF+Fbl44d/L8Cz33yDzMxM07f8/Pzg0ronFK16Qx3ZEcKNRs+bxx7au2Ods51yvuY9WgYgPKgZLhZ7QPQPa/T+lmCVdT5EUTTr67AWpULAzKHtMH7tEQiA2f8044/GzKHt6p0Wb8r+TR3bz9cHCyb8DePXHgFq7G/QVkJ37QKqr+ZiQGg1tFdy8eeff+L06dMoLy9HcnJy7Qs5KZRw8Q+DS2A0XINi4BoUg4kv/h/qOxrQlNoLLl3EYN98fPzzL9BeOgtN/mnoSy9D5RsM/3tG3vZ5y/ma3ym9QcTsTWl1vimIN8aevSkNA9uFSDq2r68vXF1d4eHhUeehhnfffRcDBw5s8OOVl5fjo48+wvbt202zDy1btsTevXuxfPnyOsNHs2bN4OHhcceHO6ZOnYqHH34YADB79my0b98eZ86cQVxcHObNm4fExER89tlnpu1rnjF3q+du9NFHH2HAgAGmq6u2bdsWaWlpmD9/vln4eOihh0yL3U2bNg0ff/wxdu7c6bDhQ87fM5VSgY8WfYq//19/VGUfR/nJ7fDqMMAqY9e3f3VhHirSd6M8bTeyr+bg+I37PTw8MGzYMAwfPhyDBg3CjtPXar0nN3VsOZ93Q/e3BMlXOJ0xYwb27NmDrKwspKam4s0338TOnTvx7LPPSj1UgzzYIRRLR3RFiK/5dFKIr1uD/hptyv6WGFvh6o6o2A74Muk1rFuxCBs2bEBaWhoqKiqQnp6ODRs2YO7cuRg5ciTatO8Ehas7YNCj+mouKv7cg6Lda1Dw3WyMvL8bAgMDMWDAAEyZMgWrV69GSkqKKSTervZB7YJN09QzZszA4MGDERISgrCwMMycOBJFe75ERcY+6EsvQ3B1R8BDkxEW6Gfzr/mdaEwTmzUlJiY2avu0tDRUVVVh4MCB8PLyMt3WrFmDs2frbtZuqoSEBNO/jVc0LigoAADTzEdTpKeno3fv3mb39e7dG6dPn4Zer6+zDkEQEBISYqrDUcn5ezZ2cE+MmXj90Ffh9pWoLroIUTRYfGxRFNEtWIVXuyjhknMIxfu/Rf7qychb8Q8U7VmL6qs5cHV1xSOPPIJvvvkGBQUF+PrrrzF06FCo1WqH+zxpzP5Sk3zm49KlSxg5cqSp4zwhIQFbtmxp1F9gUnuwQygGtgu540bApuxvrbFdXFxuHHIx/0tNpzdg8/6TOHLsGC5nn0Zh7mkcP34Mp06dwtWrV7F9+3Zs377dtL1KpUJcXBw6deqETp064Z0uCaj2icK53HxcyT6FkvMZmDthNp5MSUFpaWmtehUKBWJjY9GlSxd06twZ7iGt0SyqLVqGh9jNa95YttDoWhdPT0+zrxUKRa3lraur/2qPM56ttXnzZoSHmx+Hb+yhUUEQbjmWkYvLX2c7GKfejXW4uzes5+pWRFGsdcHCulYXqFmHsZZbn73mGOT8PVs+fzb+2P4TUlNTkbf871C5uEAIC8O7m8Lw77AwhIeHIywsDGE3/dvHx6fesQWIyMvLQ1ZWFrKzs5GdnW327+zsbFRUVNSqRalUYsCA+zF8+NN49NFHb3m2lDN8nliD5OFj5cqVUj+kJJQKoUmnEDVlfznHVikVGNanI4b16Wh2f1VVFdLS0nDs2DGzW2FhIU6cOIETJ07gq6++uuVjq9VqdOzYEV26dDHdEhIS4OHhccv9GkrO17wx5Gx0dXV1NfsL/lYCAwNx4sQJs/tSUlJMH7zt2rWDWq1GTk5OnYdYGiMwMBD5+fmmr0+fPl3nm/6tJCQk4Lfffqv3bLiGPPd27dph7969Zvft27cPbdu2hVKprGcv5yLX75mLiwvWrFmD4cOH488//4SuutoUEG7Fy8vLLJS4uroiJycHWVlZyM3Nve16TYIgIDQ0FNHR0YiKikKfPn3w+OOPIygoqMG1O+vniZSc5touZM7NzQ1du3ZF165dTfeJoojz58/XCiSnT5+Gj4+PWcjo3Lkz4uLiav3F6IzkbHSNjo7GwYMHkZWVBS8vLzRrVv8Y9913H+bPn481a9agZ8+eWLt2LU6cOIEuXboAALy9vTF16lS8+uqrMBgM6NOnD0pKSrBv3z54eXlh9OjRDa7rvvvuw+LFi3H33XfDYDBg2rRpjf5ZmT59Ojp27IgJEybgxRdfhKurK3bs2IEnnngCzZs3b9Bzf+2113DXXXdhzpw5eOqpp7B//34sXrzYrI+E5NO5c2ekp6dDq9Xi4sWLyMvLQ15eHi5cuGD2X+O/S0pKUFZWhoyMDGRkZNT5mEqlEi1atDCFi6ioKLN/R0REWOwkB2o4hg8yEQQBERERiIiIwJAhQ0z3a7VauLi41Jq+puvkbOaaOnUqRo8ejXbt2qGystKsO/9mDzzwAN5++228/vrrqKqqwtixYzFq1CikpqaatpkzZw6CgoKQlJSEc+fOwc/PD127dsWMGTMaVdeHH36I5557Dn379kVYWBgWLVpUuxH6Ntq2bYtffvkFM2bMQPfu3eHu7o4ePXpg+PDhDX7uXbt2xbfffot33nkHc+bMQWhoKN59912zZlOSn6urKyIjIxEZGXnL7crKypCfn28WSqqqqkzBIioqCuHh4RZb04akY5Xl1RtD6mu7EDWEFMur29JFm4h4yQCyNptZXp3ImdhSMxcRkS1j+CCSkK00cxER2TLJ1/kgIiIiuhWGDyIiIrIqhg8iIiKyKoYPohqcYVVLcg78WSZbxoZTIlxfZ0ChUCAvLw+BgYFwdXXluiZkl0RRhFarxeXLl6FQKBp9pWEia2D4IML1657ExMQgPz8feXl5cpdD1GQeHh6IjIyEQsEJbrI9DB9ENxhXWdTpdA2+XgqRLVIqlVCpVJy9I5vF8EFUgyAIcHFx4TVriIgsiPNxREREZFUMH0RERGRVDB9ERERkVTbX82G8yG5JSYnMlRAREVFDGT+3jZ/jt2Jz4aO0tBQAEBERIXMlRERE1FilpaXw9fW95TaC2JCIYkUGgwF5eXnw9vaW/DSxkpISREREIDc3Fz4+PpI+Nv2Fr7N18HW2Hr7W1sHX2Tos9TqLoojS0lKEhYXddn0Zm5v5UCgUaNGihUXH8PHx4Q+2FfB1tg6+ztbD19o6+DpbhyVe59vNeBix4ZSIiIisiuGDiIiIrMqpwodarcbMmTOhVqvlLsWh8XW2Dr7O1sPX2jr4OluHLbzONtdwSkRERI7NqWY+iIiISH4MH0RERGRVDB9ERERkVQwfREREZFVOEz4+++wzxMTEwM3NDd26dcOePXvkLsnhJCUl4a677oK3tzeCgoLwyCOP4NSpU3KX5fCSkpIgCAImT54sdykO58KFCxgxYgQCAgLg4eGBzp07Izk5We6yHIpOp8Nbb72FmJgYuLu7o2XLlnj33XdhMBjkLs3u7d69G0OHDkVYWBgEQcD3339v9n1RFDFr1iyEhYXB3d0d/fv3x8mTJ61Sm1OEj2+++QaTJ0/Gm2++iaNHj+Kee+7B4MGDkZOTI3dpDmXXrl2YOHEiDhw4gG3btkGn02HQoEEoLy+XuzSHdfjwYaxYsQIJCQlyl+JwCgsL0bt3b7i4uODnn39GWloaPvzwQ/j5+cldmkP54IMPsGzZMixevBjp6emYN28e5s+fj08//VTu0uxeeXk5OnXqhMWLF9f5/Xnz5uGjjz7C4sWLcfjwYYSEhGDgwIGma6xZlOgEunfvLr744otm98XFxYlvvPGGTBU5h4KCAhGAuGvXLrlLcUilpaVimzZtxG3bton9+vUTJ02aJHdJDmXatGlinz595C7D4T388MPi2LFjze577LHHxBEjRshUkWMCIG7cuNH0tcFgEENCQsT333/fdF9VVZXo6+srLlu2zOL1OPzMh1arRXJyMgYNGmR2/6BBg7Bv3z6ZqnIOxcXFAIBmzZrJXIljmjhxIh5++GHcf//9cpfikH788UckJibiiSeeQFBQELp06YLPP/9c7rIcTp8+ffDbb78hIyMDAHDs2DHs3bsXDz30kMyVObbMzExcvHjR7LNRrVajX79+VvlstLkLy0ntypUr0Ov1CA4ONrs/ODgYFy9elKkqxyeKIqZMmYI+ffqgQ4cOcpfjcNatW4cjR47g8OHDcpfisM6dO4elS5diypQpmDFjBg4dOoRXXnkFarUao0aNkrs8hzFt2jQUFxcjLi4OSqUSer0e7733HoYPHy53aQ7N+PlX12djdna2xcd3+PBhJAiC2deiKNa6j6Tz0ksv4fjx49i7d6/cpTic3NxcTJo0Cb/88gvc3NzkLsdhGQwGJCYmYu7cuQCALl264OTJk1i6dCnDh4S++eYbrF27Fl9//TXat2+PlJQUTJ48GWFhYRg9erTc5Tk8uT4bHT58NG/eHEqlstYsR0FBQa3ER9J4+eWX8eOPP2L37t1o0aKF3OU4nOTkZBQUFKBbt26m+/R6PXbv3o3FixdDo9FAqVTKWKFjCA0NRbt27czui4+Px/r162WqyDH985//xBtvvIGnn34aANCxY0dkZ2cjKSmJ4cOCQkJCAFyfAQkNDTXdb63PRofv+XB1dUW3bt2wbds2s/u3bduGXr16yVSVYxJFES+99BI2bNiA7du3IyYmRu6SHNKAAQOQmpqKlJQU0y0xMRHPPvssUlJSGDwk0rt371qnimdkZCAqKkqmihxTRUUFFArzjyKlUslTbS0sJiYGISEhZp+NWq0Wu3btsspno8PPfADAlClTMHLkSCQmJqJnz55YsWIFcnJy8OKLL8pdmkOZOHEivv76a/zwww/w9vY2zTb5+vrC3d1d5uoch7e3d60+Gk9PTwQEBLC/RkKvvvoqevXqhblz5+LJJ5/EoUOHsGLFCqxYsULu0hzK0KFD8d577yEyMhLt27fH0aNH8dFHH2Hs2LFyl2b3ysrKcObMGdPXmZmZSElJQbNmzRAZGYnJkydj7ty5aNOmDdq0aYO5c+fCw8MDzzzzjOWLs/j5NDZiyZIlYlRUlOjq6ip27dqVp39aAIA6b6tWrZK7NIfHU20tY9OmTWKHDh1EtVotxsXFiStWrJC7JIdTUlIiTpo0SYyMjBTd3NzEli1bim+++aao0WjkLs3u7dixo8735NGjR4uieP1025kzZ4ohISGiWq0W+/btK6amplqlNkEURdHyEYeIiIjoOofv+SAiIiLbwvBBREREVsXwQURERFbF8EFERERWxfBBREREVsXwQURERFbF8EFERERWxfBBREREVsXwQURERFbF8EFERERWxfBBREREVsXwQURERFb1/wGGDcrUhN6zIAAAAABJRU5ErkJggg==",
       "text/plain": [
        "
"
       ]
@@ -2286,12 +2269,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e6854a7a8e6f4e0b9e2c0ea3c502ba86",
+       "model_id": "05e313c3923e4c8fb2a819fee1dde597",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/2000 [00:00 4s:\n",
-      "\n",
-      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.35, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpv9h6rz9g\" source_line=27}\n",
-      "\n",
-      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
-      "\n",
-      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "2024-08-24 15:30:52.538064: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 22.924496s\n",
-      "Constant folding an instruction is taking > 4s:\n",
-      "\n",
-      "  %reduce = f64[4,1000,2000,1]{3,2,1,0} reduce(f64[4,1000,1,2000,1]{4,3,2,1,0} %broadcast.6, f64[] %constant.9), dimensions={2}, to_apply=%region_0.35, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpv9h6rz9g\" source_line=27}\n",
-      "\n",
-      "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
-      "\n",
-      "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "There were 23 divergences after tuning. Increase `target_accept` or reparameterize.\n"
+      "There were 42 divergences after tuning. Increase `target_accept` or reparameterize.\n"
      ]
     }
    ],
    "source": [
-    "# Fit a EXPQUAD GP using HSGP to model to simulated data\n",
+    "# Fit an EXPQUAD GP to model the simulated data\n",
     "with pm.Model() as expquad_model:\n",
     "    _X = pm.Data(\"X\", x[:, None])\n",
     "    measurement_error = pm.HalfNormal(\"measurement_error\", 1)\n",
     "\n",
-    "    ls = pm.Gamma(\"ls\", 0.5, 1)\n",
-    "    eta = pm.Exponential(\"eta\", scale=4.0)\n",
+    "    ls = pm.Exponential(\"ls\", 0.5)\n",
+    "    eta = pm.Lognormal(\"eta\", mu=4, sigma=0.5)\n",
     "    cov_func = eta**2 * pm.gp.cov.ExpQuad(input_dim=1, ls=ls)\n",
-    "    m0, c = 2000, 70.0\n",
-    "    gp = pm.gp.HSGP(m=[m0], c=c, cov_func=cov_func)\n",
+    "    gp = pm.gp.Latent(cov_func=cov_func)\n",
     "    s = gp.prior(\"s\", X=_X)\n",
     "\n",
     "    pm.Normal(\"likelihood\", mu=s, sigma=measurement_error, observed=y)\n",
-    "    expquad_idata = pm.sample(nuts_sampler=\"numpyro\", target_accept=0.95, random_seed=rng)"
+    "    expquad_idata = pm.sample(\n",
+    "        tune=2000, nuts_sampler=\"numpyro\", target_accept=0.95, random_seed=rng\n",
+    "    )"
    ]
   },
   {
@@ -2394,7 +2363,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fb3cc62d47614138a78103812fb27b9f",
+       "model_id": "89d749a22a5345038090443ca7a84132",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2451,7 +2420,7 @@
     {
      "data": {
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 37,
@@ -2460,7 +2429,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "
"
       ]
@@ -2535,7 +2504,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Sat Aug 24 2024\n",
+      "Last updated: Mon Aug 26 2024\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.12.4\n",
@@ -2543,16 +2512,16 @@
       "\n",
       "xarray: 2024.7.0\n",
       "\n",
-      "pymc       : 5.16.2\n",
       "rasterio   : 1.3.10\n",
-      "geopandas  : 1.0.1\n",
       "pandas     : 2.2.2\n",
-      "folium     : 0.17.0\n",
       "mapclassify: 2.8.0\n",
-      "pytensor   : 2.25.2\n",
-      "arviz      : 0.19.0\n",
       "numpy      : 1.26.4\n",
+      "pymc       : 5.16.2\n",
+      "arviz      : 0.19.0\n",
       "matplotlib : 3.9.1\n",
+      "pytensor   : 2.25.2\n",
+      "folium     : 0.17.0\n",
+      "geopandas  : 1.0.1\n",
       "\n",
       "Watermark: 2.4.3\n",
       "\n"
diff --git a/examples/spatial/malaria_prevalence.myst.md b/examples/spatial/malaria_prevalence.myst.md
index 1f558302b..a8f7bb22e 100644
--- a/examples/spatial/malaria_prevalence.myst.md
+++ b/examples/spatial/malaria_prevalence.myst.md
@@ -394,7 +394,7 @@ Before we conclude let's talk breifly about why we decided to use the Matérn fa
 
 ```{code-cell} ipython3
 # simulate 1-dimensional data
-x = np.linspace(0, 10, 20)
+x = np.linspace(0, 10, 30)
 y = list()
 for v in x:
     # introduce abrupt changes
@@ -406,20 +406,19 @@ y = np.array(y).ravel()
 ```
 
 ```{code-cell} ipython3
-# Fit a GP using HSGP to model to simulated data
+# Fit a GP to model the simulated data
 with pm.Model() as matern_model:
     _X = pm.Data("X", x[:, None])
     measurement_error = pm.HalfNormal("measurement_error", 1)
 
-    ls = pm.Gamma("ls", 0.5, 1)
-    eta = pm.Exponential("eta", scale=4.0)
+    ls = pm.Exponential("ls", 0.5)
+    eta = pm.Lognormal("eta", mu=4, sigma=0.5)
     cov_func = eta**2 * pm.gp.cov.Matern32(input_dim=1, ls=ls)
-    m0, c = 2000, 70.0
-    gp = pm.gp.HSGP(m=[m0], c=c, cov_func=cov_func)
+    gp = pm.gp.Latent(cov_func=cov_func)
     s = gp.prior("s", X=_X)
 
     pm.Normal("likelihood", mu=s, sigma=measurement_error, observed=y)
-    matern_idata = pm.sample(nuts_sampler="numpyro", target_accept=0.95, random_seed=rng)
+    matern_idata = pm.sample(tune=2000, nuts_sampler="numpyro", target_accept=0.95, random_seed=rng)
 ```
 
 ```{code-cell} ipython3
@@ -439,20 +438,21 @@ plt.legend(loc="best")
 ```
 
 ```{code-cell} ipython3
-# Fit a EXPQUAD GP using HSGP to model to simulated data
+# Fit an EXPQUAD GP to model the simulated data
 with pm.Model() as expquad_model:
     _X = pm.Data("X", x[:, None])
     measurement_error = pm.HalfNormal("measurement_error", 1)
 
-    ls = pm.Gamma("ls", 0.5, 1)
-    eta = pm.Exponential("eta", scale=4.0)
+    ls = pm.Exponential("ls", 0.5)
+    eta = pm.Lognormal("eta", mu=4, sigma=0.5)
     cov_func = eta**2 * pm.gp.cov.ExpQuad(input_dim=1, ls=ls)
-    m0, c = 2000, 70.0
-    gp = pm.gp.HSGP(m=[m0], c=c, cov_func=cov_func)
+    gp = pm.gp.Latent(cov_func=cov_func)
     s = gp.prior("s", X=_X)
 
     pm.Normal("likelihood", mu=s, sigma=measurement_error, observed=y)
-    expquad_idata = pm.sample(nuts_sampler="numpyro", target_accept=0.95, random_seed=rng)
+    expquad_idata = pm.sample(
+        tune=2000, nuts_sampler="numpyro", target_accept=0.95, random_seed=rng
+    )
 ```
 
 ```{code-cell} ipython3

From 688e32da2b176aee32c8435de1e4f8311e3bad20 Mon Sep 17 00:00:00 2001
From: Jonathan Dekermanjian 
Date: Wed, 28 Aug 2024 18:21:27 -0600
Subject: [PATCH 5/5] updated priors on GP section

---
 examples/spatial/malaria_prevalence.ipynb   | 469 ++++++++++----------
 examples/spatial/malaria_prevalence.myst.md |  29 +-
 2 files changed, 250 insertions(+), 248 deletions(-)

diff --git a/examples/spatial/malaria_prevalence.ipynb b/examples/spatial/malaria_prevalence.ipynb
index b727cc27b..f2d23c556 100644
--- a/examples/spatial/malaria_prevalence.ipynb
+++ b/examples/spatial/malaria_prevalence.ipynb
@@ -370,7 +370,7 @@
        "            <meta name="viewport" content="width=device-width,\n",
        "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
        "            <style>\n",
-       "                #map_967f895231b9fc3e1369b968a1062972 {\n",
+       "                #map_946f3b12b8b66291a02b64c48e3036c9 {\n",
        "                    position: relative;\n",
        "                    width: 100.0%;\n",
        "                    height: 100.0%;\n",
@@ -401,14 +401,14 @@
        "<body>\n",
        "    \n",
        "    \n",
-       "            <div class="folium-map" id="map_967f895231b9fc3e1369b968a1062972" ></div>\n",
+       "            <div class="folium-map" id="map_946f3b12b8b66291a02b64c48e3036c9" ></div>\n",
        "        \n",
        "</body>\n",
        "<script>\n",
        "    \n",
        "    \n",
-       "            var map_967f895231b9fc3e1369b968a1062972 = L.map(\n",
-       "                "map_967f895231b9fc3e1369b968a1062972",\n",
+       "            var map_946f3b12b8b66291a02b64c48e3036c9 = L.map(\n",
+       "                "map_946f3b12b8b66291a02b64c48e3036c9",\n",
        "                {\n",
        "                    center: [13.424895869843876, -15.13013903053501],\n",
        "                    crs: L.CRS.EPSG3857,\n",
@@ -417,28 +417,28 @@
        "                    preferCanvas: false,\n",
        "                }\n",
        "            );\n",
-       "            L.control.scale().addTo(map_967f895231b9fc3e1369b968a1062972);\n",
+       "            L.control.scale().addTo(map_946f3b12b8b66291a02b64c48e3036c9);\n",
        "\n",
        "            \n",
        "\n",
        "        \n",
        "    \n",
-       "            var tile_layer_2eef207b97c9a574db43dfd83e119793 = L.tileLayer(\n",
+       "            var tile_layer_57939049cdeef26c806309e7be43c044 = L.tileLayer(\n",
        "                "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
        "                {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            tile_layer_2eef207b97c9a574db43dfd83e119793.addTo(map_967f895231b9fc3e1369b968a1062972);\n",
+       "            tile_layer_57939049cdeef26c806309e7be43c044.addTo(map_946f3b12b8b66291a02b64c48e3036c9);\n",
        "        \n",
        "    \n",
-       "            map_967f895231b9fc3e1369b968a1062972.fitBounds(\n",
+       "            map_946f3b12b8b66291a02b64c48e3036c9.fitBounds(\n",
        "                [[13.185409602758718, -16.38755103466753], [13.664382136929033, -13.87272702640249]],\n",
        "                {}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "        function geo_json_f17736105581b7d2d11424727854e773_styler(feature) {\n",
+       "        function geo_json_b96643e4c7c25fbc5faf90e0ed579507_styler(feature) {\n",
        "            switch(feature.id) {\n",
        "                case "0": \n",
        "                    return {"color": "#1f9f88", "fillColor": "#1f9f88", "fillOpacity": 0.5, "weight": 2};\n",
@@ -530,52 +530,52 @@
        "                    return {"color": "#31688e", "fillColor": "#31688e", "fillOpacity": 0.5, "weight": 2};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_f17736105581b7d2d11424727854e773_highlighter(feature) {\n",
+       "        function geo_json_b96643e4c7c25fbc5faf90e0ed579507_highlighter(feature) {\n",
        "            switch(feature.id) {\n",
        "                default:\n",
        "                    return {"fillOpacity": 0.75};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_f17736105581b7d2d11424727854e773_pointToLayer(feature, latlng) {\n",
+       "        function geo_json_b96643e4c7c25fbc5faf90e0ed579507_pointToLayer(feature, latlng) {\n",
        "            var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n",
        "            \n",
-       "            let style = geo_json_f17736105581b7d2d11424727854e773_styler(feature)\n",
+       "            let style = geo_json_b96643e4c7c25fbc5faf90e0ed579507_styler(feature)\n",
        "            Object.assign(opts, style)\n",
        "            \n",
        "            return new L.CircleMarker(latlng, opts)\n",
        "        }\n",
        "\n",
-       "        function geo_json_f17736105581b7d2d11424727854e773_onEachFeature(feature, layer) {\n",
+       "        function geo_json_b96643e4c7c25fbc5faf90e0ed579507_onEachFeature(feature, layer) {\n",
        "            layer.on({\n",
        "                mouseout: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                            geo_json_f17736105581b7d2d11424727854e773.resetStyle(e.target);\n",
+       "                            geo_json_b96643e4c7c25fbc5faf90e0ed579507.resetStyle(e.target);\n",
        "                    }\n",
        "                },\n",
        "                mouseover: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                        const highlightStyle = geo_json_f17736105581b7d2d11424727854e773_highlighter(e.target.feature)\n",
+       "                        const highlightStyle = geo_json_b96643e4c7c25fbc5faf90e0ed579507_highlighter(e.target.feature)\n",
        "                        e.target.setStyle(highlightStyle);\n",
        "                    }\n",
        "                },\n",
        "            });\n",
        "        };\n",
-       "        var geo_json_f17736105581b7d2d11424727854e773 = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_f17736105581b7d2d11424727854e773_onEachFeature,\n",
+       "        var geo_json_b96643e4c7c25fbc5faf90e0ed579507 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_b96643e4c7c25fbc5faf90e0ed579507_onEachFeature,\n",
        "            \n",
-       "                style: geo_json_f17736105581b7d2d11424727854e773_styler,\n",
-       "                pointToLayer: geo_json_f17736105581b7d2d11424727854e773_pointToLayer,\n",
+       "                style: geo_json_b96643e4c7c25fbc5faf90e0ed579507_styler,\n",
+       "                pointToLayer: geo_json_b96643e4c7c25fbc5faf90e0ed579507_pointToLayer,\n",
        "        });\n",
        "\n",
-       "        function geo_json_f17736105581b7d2d11424727854e773_add (data) {\n",
-       "            geo_json_f17736105581b7d2d11424727854e773\n",
+       "        function geo_json_b96643e4c7c25fbc5faf90e0ed579507_add (data) {\n",
+       "            geo_json_b96643e4c7c25fbc5faf90e0ed579507\n",
        "                .addData(data);\n",
        "        }\n",
-       "            geo_json_f17736105581b7d2d11424727854e773_add({"bbox": [-16.38755103466753, 13.185409602758718, -13.87272702640249, 13.664382136929033], "features": [{"bbox": [-16.38755103466753, 13.185409602758718, -16.38755103466753, 13.185409602758718], "geometry": {"coordinates": [-16.38755103466753, 13.185409602758718], "type": "Point"}, "id": "0", "properties": {"__folium_color": "#1f9f88", "positive": 17, "prev": 0.52, "total": 33}, "type": "Feature"}, {"bbox": [-16.305430234499706, 13.204437271999842, -16.305430234499706, 13.204437271999842], "geometry": {"coordinates": [-16.305430234499706, 13.204437271999842], "type": "Point"}, "id": "1", "properties": {"__folium_color": "#32658e", "positive": 19, "prev": 0.3, "total": 63}, "type": "Feature"}, {"bbox": [-16.289140839656273, 13.2037423480732, -16.289140839656273, 13.2037423480732], "geometry": {"coordinates": [-16.289140839656273, 13.2037423480732], "type": "Point"}, "id": "2", "properties": {"__folium_color": "#26828e", "positive": 7, "prev": 0.41, "total": 17}, "type": "Feature"}, {"bbox": [-16.258690817948374, 13.537424833752462, -16.258690817948374, 13.537424833752462], "geometry": {"coordinates": [-16.258690817948374, 13.537424833752462], "type": "Point"}, "id": "3", "properties": {"__folium_color": "#2e6d8e", "positive": 8, "prev": 0.33, "total": 24}, "type": "Feature"}, {"bbox": [-16.232936845491317, 13.206026267030222, -16.232936845491317, 13.206026267030222], "geometry": {"coordinates": [-16.232936845491317, 13.206026267030222], "type": "Point"}, "id": "4", "properties": {"__folium_color": "#297a8e", "positive": 10, "prev": 0.38, "total": 26}, "type": "Feature"}, {"bbox": [-16.230413470612547, 13.230936455110243, -16.230413470612547, 13.230936455110243], "geometry": {"coordinates": [-16.230413470612547, 13.230936455110243], "type": "Point"}, "id": "5", "properties": {"__folium_color": "#287d8e", "positive": 7, "prev": 0.39, "total": 18}, "type": "Feature"}, {"bbox": [-16.214312387056786, 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[-13.971679680259129, 13.56534792956765, -13.971679680259129, 13.56534792956765], "geometry": {"coordinates": [-13.971679680259129, 13.56534792956765], "type": "Point"}, "id": "59", "properties": {"__folium_color": "#93d741", "positive": 29, "prev": 0.78, "total": 37}, "type": "Feature"}, {"bbox": [-13.951729640198272, 13.329989930003077, -13.951729640198272, 13.329989930003077], "geometry": {"coordinates": [-13.951729640198272, 13.329989930003077], "type": "Point"}, "id": "60", "properties": {"__folium_color": "#65cb5e", "positive": 20, "prev": 0.71, "total": 28}, "type": "Feature"}, {"bbox": [-13.940887634640678, 13.410835334322869, -13.940887634640678, 13.410835334322869], "geometry": {"coordinates": [-13.940887634640678, 13.410835334322869], "type": "Point"}, "id": "61", "properties": {"__folium_color": "#39568c", "positive": 15, "prev": 0.25, "total": 60}, "type": "Feature"}, {"bbox": [-13.940697649324147, 13.334030688099153, -13.940697649324147, 13.334030688099153], "geometry": {"coordinates": [-13.940697649324147, 13.334030688099153], "type": "Point"}, "id": "62", "properties": {"__folium_color": "#25848e", "positive": 13, "prev": 0.42, "total": 31}, "type": "Feature"}, {"bbox": [-13.890606975512293, 13.544586711845753, -13.890606975512293, 13.544586711845753], "geometry": {"coordinates": [-13.890606975512293, 13.544586711845753], "type": "Point"}, "id": "63", "properties": {"__folium_color": "#f8e621", "positive": 12, "prev": 0.92, "total": 13}, "type": "Feature"}, {"bbox": [-13.87272702640249, 13.330944101097009, -13.87272702640249, 13.330944101097009], "geometry": {"coordinates": [-13.87272702640249, 13.330944101097009], "type": "Point"}, "id": "64", "properties": {"__folium_color": "#1f948c", "positive": 15, "prev": 0.48, "total": 31}, "type": "Feature"}], "type": "FeatureCollection"});\n",
        "\n",
        "        \n",
        "    \n",
-       "    geo_json_f17736105581b7d2d11424727854e773.bindTooltip(\n",
+       "    geo_json_b96643e4c7c25fbc5faf90e0ed579507.bindTooltip(\n",
        "    function(layer){\n",
        "    let div = L.DomUtil.create('div');\n",
        "    \n",
@@ -599,45 +599,45 @@
        "    ,{"className": "foliumtooltip", "sticky": true});\n",
        "                     \n",
        "    \n",
-       "            geo_json_f17736105581b7d2d11424727854e773.addTo(map_967f895231b9fc3e1369b968a1062972);\n",
+       "            geo_json_b96643e4c7c25fbc5faf90e0ed579507.addTo(map_946f3b12b8b66291a02b64c48e3036c9);\n",
        "        \n",
        "    \n",
-       "    var color_map_8c3197a7125214cefa5bcc62acad568d = {};\n",
+       "    var color_map_bcb09a3699f70107cd775f50a61579d0 = {};\n",
        "\n",
        "    \n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.color = d3.scale.threshold()\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.color = d3.scale.threshold()\n",
        "              .domain([0.0, 0.0018637274549098198, 0.0037274549098196396, 0.005591182364729459, 0.007454909819639279, 0.009318637274549098, 0.011182364729458919, 0.01304609218436874, 0.014909819639278558, 0.01677354709418838, 0.018637274549098196, 0.020501002004008017, 0.022364729458917838, 0.024228456913827655, 0.02609218436873748, 0.027955911823647296, 0.029819639278557117, 0.03168336673346694, 0.03354709418837676, 0.03541082164328658, 0.03727454909819639, 0.03913827655310621, 0.041002004008016034, 0.042865731462925855, 0.044729458917835675, 0.04659318637274549, 0.04845691382765531, 0.05032064128256514, 0.05218436873747496, 0.05404809619238477, 0.05591182364729459, 0.05777555110220441, 0.059639278557114234, 0.06150300601202405, 0.06336673346693387, 0.0652304609218437, 0.06709418837675352, 0.06895791583166333, 0.07082164328657316, 0.07268537074148297, 0.07454909819639279, 0.07641282565130261, 0.07827655310621243, 0.08014028056112225, 0.08200400801603207, 0.08386773547094188, 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0.8181763527054109, 0.8200400801603207, 0.8219038076152304, 0.8237675350701403, 0.8256312625250501, 0.82749498997996, 0.8293587174348698, 0.8312224448897796, 0.8330861723446894, 0.8349498997995993, 0.8368136272545091, 0.8386773547094188, 0.8405410821643287, 0.8424048096192385, 0.8442685370741483, 0.8461322645290582, 0.847995991983968, 0.8498597194388778, 0.8517234468937877, 0.8535871743486974, 0.8554509018036073, 0.8573146292585171, 0.8591783567134269, 0.8610420841683367, 0.8629058116232465, 0.8647695390781563, 0.8666332665330663, 0.868496993987976, 0.8703607214428858, 0.8722244488977956, 0.8740881763527054, 0.8759519038076152, 0.8778156312625252, 0.879679358717435, 0.8815430861723448, 0.8834068136272546, 0.8852705410821643, 0.8871342685370741, 0.888997995991984, 0.8908617234468938, 0.8927254509018037, 0.8945891783567135, 0.8964529058116233, 0.8983166332665332, 0.9001803607214429, 0.9020440881763527, 0.9039078156312625, 0.9057715430861724, 0.9076352705410822, 0.9094989979959921, 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        "              .range(['#440154ff', '#440155ff', '#440256ff', '#440356ff', '#450457ff', '#450458ff', '#450559ff', '#450659ff', '#46075aff', '#46075bff', '#46085cff', '#46095cff', '#460a5dff', '#460a5eff', '#460b5eff', '#460c5fff', '#470d60ff', '#470d61ff', '#470e61ff', '#470f62ff', '#471063ff', '#471064ff', '#471164ff', '#471265ff', '#471365ff', '#481366ff', '#481467ff', '#481568ff', '#481668ff', '#481669ff', '#481769ff', '#48176aff', '#48186bff', '#48196cff', '#481a6cff', '#481a6dff', '#481b6dff', '#481c6eff', '#481c6eff', '#481d6fff', '#481d6fff', '#481f70ff', '#481f70ff', '#482071ff', '#482072ff', '#482173ff', '#482273ff', '#482374ff', '#482374ff', '#482475ff', '#482476ff', '#482576ff', '#482577ff', '#482677ff', '#482778ff', '#482878ff', '#482879ff', '#482979ff', '#47297aff', '#472a7aff', '#472b7aff', '#472c7aff', '#472c7bff', '#472d7bff', '#472d7cff', '#472e7cff', '#472e7dff', '#472f7dff', '#462f7eff', '#46307eff', '#46317eff', '#46327eff', '#46327fff', '#46337fff', '#463480ff', '#453480ff', '#453581ff', '#453581ff', '#453681ff', '#453781ff', '#453882ff', '#443882ff', '#443983ff', '#443983ff', '#443a83ff', '#443a83ff', '#443b84ff', '#433c84ff', '#433d84ff', '#433d85ff', '#433e85ff', '#423e85ff', '#423f85ff', '#423f86ff', '#424086ff', '#424086ff', '#424186ff', '#414187ff', '#414287ff', '#414387ff', '#414487ff', '#404488ff', '#404588ff', '#404588ff', '#404688ff', '#3f4688ff', '#3f4788ff', '#3f4789ff', '#3f4889ff', '#3e4889ff', '#3e4989ff', '#3e4a89ff', '#3e4a89ff', '#3e4b8aff', '#3d4c8aff', '#3d4d8aff', '#3d4d8aff', '#3d4e8aff', '#3c4e8aff', '#3c4f8aff', '#3c4f8aff', '#3c508bff', '#3b508bff', '#3b518bff', '#3b518bff', '#3b528bff', '#3a528bff', '#3a538bff', '#3a538bff', '#3a548cff', '#39548cff', '#39558cff', '#39558cff', '#39568cff', '#38578cff', '#38588cff', '#38588cff', '#38598cff', '#37598cff', '#375a8cff', '#375a8dff', '#375b8dff', '#365b8dff', '#365c8dff', '#365c8dff', '#365d8dff', '#355d8dff', '#355e8dff', '#355f8dff', '#355f8dff', '#34608dff', 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'#24868eff', '#24868eff', '#24878eff', '#24878eff', '#23888eff', '#23888eff', '#23898eff', '#23898eff', '#238a8dff', '#238a8dff', '#228b8dff', '#228b8dff', '#228c8dff', '#228c8dff', '#228d8dff', '#218d8dff', '#218e8dff', '#218e8dff', '#218f8dff', '#218f8dff', '#21908dff', '#21908dff', '#21918cff', '#20918cff', '#20928cff', '#20928cff', '#20928cff', '#20928cff', '#20938cff', '#1f938cff', '#1f948cff', '#1f948cff', '#1f958bff', '#1f958bff', '#1f968bff', '#1f968bff', '#1f978bff', '#1f988bff', '#1f988bff', '#1f998bff', '#1f998aff', '#1f9a8aff', '#1f9a8aff', '#1e9b8aff', '#1e9b8aff', '#1e9c8aff', '#1e9c89ff', '#1e9d89ff', '#1e9d89ff', '#1e9e89ff', '#1f9e89ff', '#1f9f88ff', '#1f9f88ff', '#1fa088ff', '#1fa088ff', '#1fa188ff', '#1fa188ff', '#1fa187ff', '#1fa187ff', '#1fa287ff', '#1fa287ff', '#1fa386ff', '#20a386ff', '#20a486ff', '#20a486ff', '#20a585ff', '#21a585ff', '#21a685ff', '#21a685ff', '#21a785ff', '#22a785ff', '#22a884ff', '#22a884ff', '#22a983ff', '#23a983ff', '#23aa83ff', '#24ab83ff', '#25ab82ff', '#25ac82ff', '#25ac82ff', '#25ad82ff', '#26ad81ff', '#26ad81ff', '#27ad81ff', '#27ae81ff', '#28ae80ff', '#28af80ff', '#29af7fff', '#29b07fff', '#2ab07fff', '#2bb17eff', '#2cb17eff', '#2cb27dff', '#2db27dff', '#2db37cff', '#2eb37cff', '#2eb47cff', '#2fb47cff', '#30b57bff', '#31b57bff', '#31b67aff', '#32b67aff', '#33b679ff', '#34b679ff', '#34b779ff', '#35b779ff', '#36b878ff', '#37b878ff', '#37b977ff', '#38b977ff', '#39ba76ff', '#3aba76ff', '#3abb75ff', '#3bbb75ff', '#3cbc74ff', '#3dbc74ff', '#3ebc73ff', '#3fbd73ff', '#40bd72ff', '#40be72ff', '#41be71ff', '#42bf71ff', '#43bf70ff', '#45c070ff', '#46c06fff', '#47c16fff', '#48c16eff', '#49c16eff', '#4ac16dff', '#4bc26cff', '#4cc26cff', '#4dc36bff', '#4ec36bff', '#4fc46aff', '#50c46aff', '#51c569ff', '#52c569ff', '#53c568ff', '#54c568ff', '#55c667ff', '#56c667ff', '#57c766ff', '#58c765ff', '#59c864ff', '#5ac864ff', '#5bc863ff', '#5cc863ff', '#5dc962ff', '#5ec962ff', '#5fca61ff', '#60ca60ff', '#62cb5fff', '#63cb5fff', '#64cb5eff', '#65cc5dff', '#66cc5cff', '#67cd5cff', '#68cd5bff', '#6acd5bff', '#6bcd5aff', '#6cce59ff', '#6ece58ff', '#6fcf58ff', '#70cf57ff', '#71d057ff', '#72d056ff', '#74d055ff', '#75d054ff', '#76d153ff', '#77d153ff', '#78d152ff', '#7ad151ff', '#7bd250ff', '#7cd250ff', '#7dd34fff', '#7fd34eff', '#80d34dff', '#81d34dff', '#82d44cff', '#84d44bff', '#85d54aff', '#86d549ff', '#88d548ff', '#89d548ff', '#8ad647ff', '#8bd646ff', '#8dd645ff', '#8ed645ff', '#8fd744ff', '#90d743ff', '#92d742ff', '#93d741ff', '#94d840ff', '#96d83fff', '#97d83eff', '#99d93dff', '#9ad93cff', '#9bd93cff', '#9dd93bff', '#9eda3aff', '#9fda39ff', '#a1da38ff', '#a2da37ff', '#a3db36ff', '#a4db36ff', '#a6db35ff', '#a8db34ff', '#a9dc33ff', '#aadc32ff', '#abdc31ff', '#addc30ff', '#aedd2fff', '#b0dd2fff', '#b1dd2eff', '#b2dd2dff', '#b3de2cff', '#b5de2bff', '#b6de2aff', '#b8de29ff', '#b9de28ff', '#bade28ff', '#bcdf27ff', '#bddf26ff', '#bfdf25ff', '#c0df25ff', '#c1df24ff', '#c2df23ff', '#c4e022ff', '#c5e021ff', '#c7e020ff', '#c8e020ff', '#c9e11fff', '#cbe11eff', '#cce11dff', '#cee11dff', '#cfe11cff', '#d1e11bff', '#d2e21bff', '#d3e21aff', '#d4e21aff', '#d6e219ff', '#d7e219ff', '#d9e319ff', '#dae319ff', '#dbe318ff', '#dde318ff', '#dee318ff', '#dfe318ff', '#e0e418ff', '#e2e418ff', '#e3e418ff', '#e5e418ff', '#e6e419ff', '#e7e419ff', '#e8e519ff', '#eae519ff', '#ebe51aff', '#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n",
        "    \n",
        "\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.x = d3.scale.linear()\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.x = d3.scale.linear()\n",
        "              .domain([0.0, 0.93])\n",
        "              .range([0, 450 - 50]);\n",
        "\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.legend = L.control({position: 'topright'});\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.legend.addTo(map_967f895231b9fc3e1369b968a1062972);\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.legend = L.control({position: 'topright'});\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.legend.addTo(map_946f3b12b8b66291a02b64c48e3036c9);\n",
        "\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.xAxis = d3.svg.axis()\n",
-       "        .scale(color_map_8c3197a7125214cefa5bcc62acad568d.x)\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.xAxis = d3.svg.axis()\n",
+       "        .scale(color_map_bcb09a3699f70107cd775f50a61579d0.x)\n",
        "        .orient("top")\n",
        "        .tickSize(1)\n",
        "        .tickValues([0.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.09482352941176471, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.18964705882352942, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.28447058823529414, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.37929411764705884, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.47411764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.5689411764705883, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.663764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.7585882352941177, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.8534117647058824, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);\n",
        "\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.svg = d3.select(".legend.leaflet-control").append("svg")\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.svg = d3.select(".legend.leaflet-control").append("svg")\n",
        "        .attr("id", 'legend')\n",
        "        .attr("width", 450)\n",
        "        .attr("height", 40);\n",
        "\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.g = color_map_8c3197a7125214cefa5bcc62acad568d.svg.append("g")\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.g = color_map_bcb09a3699f70107cd775f50a61579d0.svg.append("g")\n",
        "        .attr("class", "key")\n",
        "        .attr("transform", "translate(25,16)");\n",
        "\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.g.selectAll("rect")\n",
-       "        .data(color_map_8c3197a7125214cefa5bcc62acad568d.color.range().map(function(d, i) {\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.g.selectAll("rect")\n",
+       "        .data(color_map_bcb09a3699f70107cd775f50a61579d0.color.range().map(function(d, i) {\n",
        "          return {\n",
-       "            x0: i ? color_map_8c3197a7125214cefa5bcc62acad568d.x(color_map_8c3197a7125214cefa5bcc62acad568d.color.domain()[i - 1]) : color_map_8c3197a7125214cefa5bcc62acad568d.x.range()[0],\n",
-       "            x1: i < color_map_8c3197a7125214cefa5bcc62acad568d.color.domain().length ? color_map_8c3197a7125214cefa5bcc62acad568d.x(color_map_8c3197a7125214cefa5bcc62acad568d.color.domain()[i]) : color_map_8c3197a7125214cefa5bcc62acad568d.x.range()[1],\n",
+       "            x0: i ? color_map_bcb09a3699f70107cd775f50a61579d0.x(color_map_bcb09a3699f70107cd775f50a61579d0.color.domain()[i - 1]) : color_map_bcb09a3699f70107cd775f50a61579d0.x.range()[0],\n",
+       "            x1: i < color_map_bcb09a3699f70107cd775f50a61579d0.color.domain().length ? color_map_bcb09a3699f70107cd775f50a61579d0.x(color_map_bcb09a3699f70107cd775f50a61579d0.color.domain()[i]) : color_map_bcb09a3699f70107cd775f50a61579d0.x.range()[1],\n",
        "            z: d\n",
        "          };\n",
        "        }))\n",
@@ -647,7 +647,7 @@
        "        .attr("width", function(d) { return d.x1 - d.x0; })\n",
        "        .style("fill", function(d) { return d.z; });\n",
        "\n",
-       "    color_map_8c3197a7125214cefa5bcc62acad568d.g.call(color_map_8c3197a7125214cefa5bcc62acad568d.xAxis).append("text")\n",
+       "    color_map_bcb09a3699f70107cd775f50a61579d0.g.call(color_map_bcb09a3699f70107cd775f50a61579d0.xAxis).append("text")\n",
        "        .attr("class", "caption")\n",
        "        .attr("y", 21)\n",
        "        .text("prev");\n",
@@ -655,7 +655,7 @@
        "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 6,
@@ -718,7 +718,7 @@
        "            <meta name="viewport" content="width=device-width,\n",
        "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
        "            <style>\n",
-       "                #map_f0d3662d685a338b7eae153f0ab2c9cb {\n",
+       "                #map_1f923f04660d92155463956a392bb714 {\n",
        "                    position: relative;\n",
        "                    width: 100.0%;\n",
        "                    height: 100.0%;\n",
@@ -762,14 +762,14 @@
        "<body>\n",
        "    \n",
        "    \n",
-       "            <div class="folium-map" id="map_f0d3662d685a338b7eae153f0ab2c9cb" ></div>\n",
+       "            <div class="folium-map" id="map_1f923f04660d92155463956a392bb714" ></div>\n",
        "        \n",
        "</body>\n",
        "<script>\n",
        "    \n",
        "    \n",
-       "            var map_f0d3662d685a338b7eae153f0ab2c9cb = L.map(\n",
-       "                "map_f0d3662d685a338b7eae153f0ab2c9cb",\n",
+       "            var map_1f923f04660d92155463956a392bb714 = L.map(\n",
+       "                "map_1f923f04660d92155463956a392bb714",\n",
        "                {\n",
        "                    center: [13.424895869843876, -15.13013903053501],\n",
        "                    crs: L.CRS.EPSG3857,\n",
@@ -778,28 +778,28 @@
        "                    preferCanvas: false,\n",
        "                }\n",
        "            );\n",
-       "            L.control.scale().addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
+       "            L.control.scale().addTo(map_1f923f04660d92155463956a392bb714);\n",
        "\n",
        "            \n",
        "\n",
        "        \n",
        "    \n",
-       "            var tile_layer_e1d038d3504db03abee10159317b1da8 = L.tileLayer(\n",
+       "            var tile_layer_11c8ecb7e1518bf0cec1da577af7e104 = L.tileLayer(\n",
        "                "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
        "                {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            tile_layer_e1d038d3504db03abee10159317b1da8.addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
+       "            tile_layer_11c8ecb7e1518bf0cec1da577af7e104.addTo(map_1f923f04660d92155463956a392bb714);\n",
        "        \n",
        "    \n",
-       "            map_f0d3662d685a338b7eae153f0ab2c9cb.fitBounds(\n",
+       "            map_1f923f04660d92155463956a392bb714.fitBounds(\n",
        "                [[13.185409602758718, -16.38755103466753], [13.664382136929033, -13.87272702640249]],\n",
        "                {}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_styler(feature) {\n",
+       "        function geo_json_875c8440fdca7043d5e490a633e8fca2_styler(feature) {\n",
        "            switch(feature.id) {\n",
        "                case "0": \n",
        "                    return {"color": "#1f9f88", "fillColor": "#1f9f88", "fillOpacity": 0.5, "weight": 2};\n",
@@ -891,52 +891,52 @@
        "                    return {"color": "#31688e", "fillColor": "#31688e", "fillOpacity": 0.5, "weight": 2};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_highlighter(feature) {\n",
+       "        function geo_json_875c8440fdca7043d5e490a633e8fca2_highlighter(feature) {\n",
        "            switch(feature.id) {\n",
        "                default:\n",
        "                    return {"fillOpacity": 0.75};\n",
        "            }\n",
        "        }\n",
-       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_pointToLayer(feature, latlng) {\n",
+       "        function geo_json_875c8440fdca7043d5e490a633e8fca2_pointToLayer(feature, latlng) {\n",
        "            var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n",
        "            \n",
-       "            let style = geo_json_b0a286a8653be1736ad0b2b3aa522035_styler(feature)\n",
+       "            let style = geo_json_875c8440fdca7043d5e490a633e8fca2_styler(feature)\n",
        "            Object.assign(opts, style)\n",
        "            \n",
        "            return new L.CircleMarker(latlng, opts)\n",
        "        }\n",
        "\n",
-       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_onEachFeature(feature, layer) {\n",
+       "        function geo_json_875c8440fdca7043d5e490a633e8fca2_onEachFeature(feature, layer) {\n",
        "            layer.on({\n",
        "                mouseout: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                            geo_json_b0a286a8653be1736ad0b2b3aa522035.resetStyle(e.target);\n",
+       "                            geo_json_875c8440fdca7043d5e490a633e8fca2.resetStyle(e.target);\n",
        "                    }\n",
        "                },\n",
        "                mouseover: function(e) {\n",
        "                    if(typeof e.target.setStyle === "function"){\n",
-       "                        const highlightStyle = geo_json_b0a286a8653be1736ad0b2b3aa522035_highlighter(e.target.feature)\n",
+       "                        const highlightStyle = geo_json_875c8440fdca7043d5e490a633e8fca2_highlighter(e.target.feature)\n",
        "                        e.target.setStyle(highlightStyle);\n",
        "                    }\n",
        "                },\n",
        "            });\n",
        "        };\n",
-       "        var geo_json_b0a286a8653be1736ad0b2b3aa522035 = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_b0a286a8653be1736ad0b2b3aa522035_onEachFeature,\n",
+       "        var geo_json_875c8440fdca7043d5e490a633e8fca2 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_875c8440fdca7043d5e490a633e8fca2_onEachFeature,\n",
        "            \n",
-       "                style: geo_json_b0a286a8653be1736ad0b2b3aa522035_styler,\n",
-       "                pointToLayer: geo_json_b0a286a8653be1736ad0b2b3aa522035_pointToLayer,\n",
+       "                style: geo_json_875c8440fdca7043d5e490a633e8fca2_styler,\n",
+       "                pointToLayer: geo_json_875c8440fdca7043d5e490a633e8fca2_pointToLayer,\n",
        "        });\n",
        "\n",
-       "        function geo_json_b0a286a8653be1736ad0b2b3aa522035_add (data) {\n",
-       "            geo_json_b0a286a8653be1736ad0b2b3aa522035\n",
+       "        function geo_json_875c8440fdca7043d5e490a633e8fca2_add (data) {\n",
+       "            geo_json_875c8440fdca7043d5e490a633e8fca2\n",
        "                .addData(data);\n",
        "        }\n",
-       "            geo_json_b0a286a8653be1736ad0b2b3aa522035_add({"bbox": [-16.38755103466753, 13.185409602758718, -13.87272702640249, 13.664382136929033], "features": [{"bbox": [-16.38755103466753, 13.185409602758718, -16.38755103466753, 13.185409602758718], "geometry": {"coordinates": [-16.38755103466753, 13.185409602758718], "type": "Point"}, "id": "0", "properties": {"__folium_color": "#1f9f88", "positive": 17, "prev": 0.52, "total": 33}, "type": "Feature"}, {"bbox": [-16.305430234499706, 13.204437271999842, -16.305430234499706, 13.204437271999842], "geometry": {"coordinates": [-16.305430234499706, 13.204437271999842], "type": "Point"}, "id": "1", "properties": {"__folium_color": "#32658e", "positive": 19, "prev": 0.3, "total": 63}, "type": "Feature"}, {"bbox": [-16.289140839656273, 13.2037423480732, -16.289140839656273, 13.2037423480732], "geometry": {"coordinates": [-16.289140839656273, 13.2037423480732], "type": "Point"}, "id": "2", "properties": {"__folium_color": "#26828e", "positive": 7, "prev": 0.41, "total": 17}, "type": "Feature"}, {"bbox": [-16.258690817948374, 13.537424833752462, -16.258690817948374, 13.537424833752462], "geometry": {"coordinates": [-16.258690817948374, 13.537424833752462], "type": "Point"}, "id": "3", "properties": {"__folium_color": "#2e6d8e", "positive": 8, "prev": 0.33, "total": 24}, "type": "Feature"}, {"bbox": [-16.232936845491317, 13.206026267030222, -16.232936845491317, 13.206026267030222], "geometry": {"coordinates": [-16.232936845491317, 13.206026267030222], "type": "Point"}, "id": "4", "properties": {"__folium_color": "#297a8e", "positive": 10, "prev": 0.38, "total": 26}, "type": "Feature"}, {"bbox": [-16.230413470612547, 13.230936455110243, -16.230413470612547, 13.230936455110243], "geometry": {"coordinates": [-16.230413470612547, 13.230936455110243], "type": "Point"}, "id": "5", "properties": {"__folium_color": "#287d8e", "positive": 7, "prev": 0.39, "total": 18}, "type": "Feature"}, {"bbox": [-16.214312387056786, 13.2090173879772, -16.214312387056786, 13.2090173879772], "geometry": {"coordinates": [-16.214312387056786, 13.2090173879772], "type": "Point"}, "id": "6", "properties": {"__folium_color": "#3aba76", "positive": 24, "prev": 0.63, "total": 38}, "type": "Feature"}, {"bbox": [-16.196039752086218, 13.206680516633568, -16.196039752086218, 13.206680516633568], "geometry": {"coordinates": [-16.196039752086218, 13.206680516633568], "type": "Point"}, "id": "7", "properties": {"__folium_color": "#472e7c", "positive": 7, "prev": 0.12, "total": 56}, "type": "Feature"}, {"bbox": [-16.195685574387834, 13.561872253697977, -16.195685574387834, 13.561872253697977], "geometry": {"coordinates": [-16.195685574387834, 13.561872253697977], "type": "Point"}, "id": "8", "properties": {"__folium_color": "#472a7a", "positive": 6, "prev": 0.11, "total": 57}, "type": "Feature"}, {"bbox": [-16.160881527382056, 13.578336767380913, -16.160881527382056, 13.578336767380913], "geometry": {"coordinates": [-16.160881527382056, 13.578336767380913], "type": "Point"}, "id": "9", "properties": {"__folium_color": "#31688e", "positive": 8, "prev": 0.31, "total": 26}, "type": "Feature"}, {"bbox": [-16.136420958699553, 13.5296475443355, -16.136420958699553, 13.5296475443355], "geometry": {"coordinates": [-16.136420958699553, 13.5296475443355], "type": "Point"}, "id": "10", "properties": {"__folium_color": "#404588", "positive": 6, "prev": 0.19, "total": 31}, "type": "Feature"}, {"bbox": [-16.12385873694554, 13.199566919433131, -16.12385873694554, 13.199566919433131], "geometry": {"coordinates": [-16.12385873694554, 13.199566919433131], "type": "Point"}, "id": "11", "properties": {"__folium_color": "#297a8e", "positive": 12, "prev": 0.38, "total": 32}, "type": "Feature"}, {"bbox": [-16.11743240362023, 13.566158379176006, -16.11743240362023, 13.566158379176006], "geometry": {"coordinates": [-16.11743240362023, 13.566158379176006], "type": "Point"}, "id": "12", "properties": {"__folium_color": "#238a8d", "positive": 14, "prev": 0.44, "total": 32}, "type": "Feature"}, {"bbox": [-16.109714101247185, 13.201219834807864, -16.109714101247185, 13.201219834807864], "geometry": {"coordinates": [-16.109714101247185, 13.201219834807864], "type": "Point"}, "id": "13", "properties": {"__folium_color": "#39568c", "positive": 5, "prev": 0.25, "total": 20}, "type": "Feature"}, {"bbox": [-16.092370769817812, 13.49080516225072, -16.092370769817812, 13.49080516225072], "geometry": {"coordinates": [-16.092370769817812, 13.49080516225072], "type": "Point"}, "id": "14", "properties": {"__folium_color": "#482374", "positive": 5, "prev": 0.09, "total": 53}, "type": "Feature"}, {"bbox": [-16.08692886664654, 13.231722793283609, -16.08692886664654, 13.231722793283609], "geometry": {"coordinates": [-16.08692886664654, 13.231722793283609], "type": "Point"}, "id": "15", "properties": {"__folium_color": "#463480", "positive": 4, "prev": 0.14, "total": 29}, "type": "Feature"}, {"bbox": [-16.07991433154176, 13.575029852592337, -16.07991433154176, 13.575029852592337], "geometry": {"coordinates": [-16.07991433154176, 13.575029852592337], "type": "Point"}, "id": "16", "properties": {"__folium_color": "#365d8d", "positive": 8, "prev": 0.27, "total": 30}, "type": "Feature"}, {"bbox": [-16.04584649942598, 13.57768836934283, -16.04584649942598, 13.57768836934283], "geometry": {"coordinates": [-16.04584649942598, 13.57768836934283], "type": "Point"}, "id": "17", "properties": {"__folium_color": "#65cb5e", "positive": 15, "prev": 0.71, "total": 21}, "type": "Feature"}, {"bbox": [-16.041688109015585, 13.228159158324258, -16.041688109015585, 13.228159158324258], "geometry": {"coordinates": [-16.041688109015585, 13.228159158324258], "type": "Point"}, "id": "18", "properties": {"__folium_color": "#3e4a89", "positive": 6, "prev": 0.21, "total": 28}, "type": "Feature"}, {"bbox": [-16.01773510686725, 13.26174450040079, -16.01773510686725, 13.26174450040079], "geometry": 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"Point"}, "id": "32", "properties": {"__folium_color": "#433e85", "positive": 6, "prev": 0.17, "total": 35}, "type": "Feature"}, {"bbox": [-14.929932830459046, 13.537408206984505, -14.929932830459046, 13.537408206984505], "geometry": {"coordinates": [-14.929932830459046, 13.537408206984505], "type": "Point"}, "id": "33", "properties": {"__folium_color": "#482677", "positive": 3, "prev": 0.1, "total": 31}, "type": "Feature"}, {"bbox": [-14.864229594496479, 13.469048228312062, -14.864229594496479, 13.469048228312062], "geometry": {"coordinates": [-14.864229594496479, 13.469048228312062], "type": "Point"}, "id": "34", "properties": {"__folium_color": "#2b758e", "positive": 12, "prev": 0.36, "total": 33}, "type": "Feature"}, {"bbox": [-14.854894741359688, 13.49588070654694, -14.854894741359688, 13.49588070654694], "geometry": {"coordinates": [-14.854894741359688, 13.49588070654694], "type": "Point"}, "id": "35", "properties": {"__folium_color": "#472a7a", "positive": 3, "prev": 0.11, 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[-13.971679680259129, 13.56534792956765, -13.971679680259129, 13.56534792956765], "geometry": {"coordinates": [-13.971679680259129, 13.56534792956765], "type": "Point"}, "id": "59", "properties": {"__folium_color": "#93d741", "positive": 29, "prev": 0.78, "total": 37}, "type": "Feature"}, {"bbox": [-13.951729640198272, 13.329989930003077, -13.951729640198272, 13.329989930003077], "geometry": {"coordinates": [-13.951729640198272, 13.329989930003077], "type": "Point"}, "id": "60", "properties": {"__folium_color": "#65cb5e", "positive": 20, "prev": 0.71, "total": 28}, "type": "Feature"}, {"bbox": [-13.940887634640678, 13.410835334322869, -13.940887634640678, 13.410835334322869], "geometry": {"coordinates": [-13.940887634640678, 13.410835334322869], "type": "Point"}, "id": "61", "properties": {"__folium_color": "#39568c", "positive": 15, "prev": 0.25, "total": 60}, "type": "Feature"}, {"bbox": [-13.940697649324147, 13.334030688099153, -13.940697649324147, 13.334030688099153], "geometry": {"coordinates": [-13.940697649324147, 13.334030688099153], "type": "Point"}, "id": "62", "properties": {"__folium_color": "#25848e", "positive": 13, "prev": 0.42, "total": 31}, "type": "Feature"}, {"bbox": [-13.890606975512293, 13.544586711845753, -13.890606975512293, 13.544586711845753], "geometry": {"coordinates": [-13.890606975512293, 13.544586711845753], "type": "Point"}, "id": "63", "properties": {"__folium_color": "#f8e621", "positive": 12, "prev": 0.92, "total": 13}, "type": "Feature"}, {"bbox": [-13.87272702640249, 13.330944101097009, -13.87272702640249, 13.330944101097009], "geometry": {"coordinates": [-13.87272702640249, 13.330944101097009], "type": "Point"}, "id": "64", "properties": {"__folium_color": "#1f948c", "positive": 15, "prev": 0.48, "total": 31}, "type": "Feature"}], "type": "FeatureCollection"});\n",
        "\n",
        "        \n",
        "    \n",
-       "    geo_json_b0a286a8653be1736ad0b2b3aa522035.bindTooltip(\n",
+       "    geo_json_875c8440fdca7043d5e490a633e8fca2.bindTooltip(\n",
        "    function(layer){\n",
        "    let div = L.DomUtil.create('div');\n",
        "    \n",
@@ -960,45 +960,45 @@
        "    ,{"className": "foliumtooltip", "sticky": true});\n",
        "                     \n",
        "    \n",
-       "            geo_json_b0a286a8653be1736ad0b2b3aa522035.addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
+       "            geo_json_875c8440fdca7043d5e490a633e8fca2.addTo(map_1f923f04660d92155463956a392bb714);\n",
        "        \n",
        "    \n",
-       "    var color_map_fc2fd94627be0cd4e6737b891a374a53 = {};\n",
+       "    var color_map_d3a160635ac4a83f04945ccc3b0c03ac = {};\n",
        "\n",
        "    \n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.color = d3.scale.threshold()\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.color = d3.scale.threshold()\n",
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'#c9e11fff', '#cbe11eff', '#cce11dff', '#cee11dff', '#cfe11cff', '#d1e11bff', '#d2e21bff', '#d3e21aff', '#d4e21aff', '#d6e219ff', '#d7e219ff', '#d9e319ff', '#dae319ff', '#dbe318ff', '#dde318ff', '#dee318ff', '#dfe318ff', '#e0e418ff', '#e2e418ff', '#e3e418ff', '#e5e418ff', '#e6e419ff', '#e7e419ff', '#e8e519ff', '#eae519ff', '#ebe51aff', '#ece51aff', '#ede51bff', '#efe51bff', '#f0e51cff', '#f1e51dff', '#f3e61dff', '#f4e61eff', '#f5e61eff', '#f6e61fff', '#f7e620ff', '#f8e621ff', '#fae722ff', '#fbe723ff', '#fce724ff', '#fde725ff']);\n",
        "    \n",
        "\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.x = d3.scale.linear()\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.x = d3.scale.linear()\n",
        "              .domain([0.0, 0.93])\n",
        "              .range([0, 450 - 50]);\n",
        "\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.legend = L.control({position: 'topright'});\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.legend.addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.legend = L.control({position: 'topright'});\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.legend.addTo(map_1f923f04660d92155463956a392bb714);\n",
        "\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.xAxis = d3.svg.axis()\n",
-       "        .scale(color_map_fc2fd94627be0cd4e6737b891a374a53.x)\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.xAxis = d3.svg.axis()\n",
+       "        .scale(color_map_d3a160635ac4a83f04945ccc3b0c03ac.x)\n",
        "        .orient("top")\n",
        "        .tickSize(1)\n",
        "        .tickValues([0.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.09482352941176471, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.18964705882352942, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.28447058823529414, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.37929411764705884, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.47411764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.5689411764705883, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.663764705882353, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.7585882352941177, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 0.8534117647058824, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']);\n",
        "\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.svg = d3.select(".legend.leaflet-control").append("svg")\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.svg = d3.select(".legend.leaflet-control").append("svg")\n",
        "        .attr("id", 'legend')\n",
        "        .attr("width", 450)\n",
        "        .attr("height", 40);\n",
        "\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.g = color_map_fc2fd94627be0cd4e6737b891a374a53.svg.append("g")\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.g = color_map_d3a160635ac4a83f04945ccc3b0c03ac.svg.append("g")\n",
        "        .attr("class", "key")\n",
        "        .attr("transform", "translate(25,16)");\n",
        "\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.g.selectAll("rect")\n",
-       "        .data(color_map_fc2fd94627be0cd4e6737b891a374a53.color.range().map(function(d, i) {\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.g.selectAll("rect")\n",
+       "        .data(color_map_d3a160635ac4a83f04945ccc3b0c03ac.color.range().map(function(d, i) {\n",
        "          return {\n",
-       "            x0: i ? color_map_fc2fd94627be0cd4e6737b891a374a53.x(color_map_fc2fd94627be0cd4e6737b891a374a53.color.domain()[i - 1]) : color_map_fc2fd94627be0cd4e6737b891a374a53.x.range()[0],\n",
-       "            x1: i < color_map_fc2fd94627be0cd4e6737b891a374a53.color.domain().length ? color_map_fc2fd94627be0cd4e6737b891a374a53.x(color_map_fc2fd94627be0cd4e6737b891a374a53.color.domain()[i]) : color_map_fc2fd94627be0cd4e6737b891a374a53.x.range()[1],\n",
+       "            x0: i ? color_map_d3a160635ac4a83f04945ccc3b0c03ac.x(color_map_d3a160635ac4a83f04945ccc3b0c03ac.color.domain()[i - 1]) : color_map_d3a160635ac4a83f04945ccc3b0c03ac.x.range()[0],\n",
+       "            x1: i < color_map_d3a160635ac4a83f04945ccc3b0c03ac.color.domain().length ? color_map_d3a160635ac4a83f04945ccc3b0c03ac.x(color_map_d3a160635ac4a83f04945ccc3b0c03ac.color.domain()[i]) : color_map_d3a160635ac4a83f04945ccc3b0c03ac.x.range()[1],\n",
        "            z: d\n",
        "          };\n",
        "        }))\n",
@@ -1008,25 +1008,25 @@
        "        .attr("width", function(d) { return d.x1 - d.x0; })\n",
        "        .style("fill", function(d) { return d.z; });\n",
        "\n",
-       "    color_map_fc2fd94627be0cd4e6737b891a374a53.g.call(color_map_fc2fd94627be0cd4e6737b891a374a53.xAxis).append("text")\n",
+       "    color_map_d3a160635ac4a83f04945ccc3b0c03ac.g.call(color_map_d3a160635ac4a83f04945ccc3b0c03ac.xAxis).append("text")\n",
        "        .attr("class", "caption")\n",
        "        .attr("y", 21)\n",
        "        .text("prev");\n",
        "    \n",
-       "            var image_overlay_ff698b2d9d3d6172c73d1e5b1b6a45e9 = L.imageOverlay(\n",
+       "            var image_overlay_19b1c15834799024b1b3c03bfd338186 = L.imageOverlay(\n",
        "                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",\n",
        "                [[12.9, -17.0], [14.0, -13.6]],\n",
        "                {"crossOrigin": false, "opacity": 0.7, "zindex": 1}\n",
        "            );\n",
        "        \n",
        "    \n",
-       "            image_overlay_ff698b2d9d3d6172c73d1e5b1b6a45e9.addTo(map_f0d3662d685a338b7eae153f0ab2c9cb);\n",
+       "            image_overlay_19b1c15834799024b1b3c03bfd338186.addTo(map_1f923f04660d92155463956a392bb714);\n",
        "        \n",
        "</script>\n",
        "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 7,
@@ -1370,164 +1370,164 @@
        "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
        "cluster65 x 2\n",
-       "\n",
-       "65 x 2\n",
+       "\n",
+       "65 x 2\n",
        "\n",
        "\n",
        "cluster65\n",
-       "\n",
-       "65\n",
+       "\n",
+       "65\n",
        "\n",
        "\n",
        "cluster1600\n",
-       "\n",
-       "1600\n",
+       "\n",
+       "1600\n",
        "\n",
        "\n",
        "\n",
        "X\n",
-       "\n",
-       "X\n",
-       "~\n",
-       "Data\n",
+       "\n",
+       "X\n",
+       "~\n",
+       "Data\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "s\n",
-       "\n",
-       "s\n",
-       "~\n",
-       "Deterministic\n",
+       "\n",
+       "s\n",
+       "~\n",
+       "Deterministic\n",
        "\n",
        "\n",
        "\n",
        "X->s\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
-       "likelihood\n",
-       "\n",
-       "likelihood\n",
-       "~\n",
-       "Binomial\n",
+       "p\n",
+       "\n",
+       "p\n",
+       "~\n",
+       "Deterministic\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
-       "p_logit\n",
-       "\n",
-       "p_logit\n",
-       "~\n",
-       "Deterministic\n",
-       "\n",
-       "\n",
-       "\n",
-       "p_logit->likelihood\n",
-       "\n",
-       "\n",
+       "elevation\n",
+       "\n",
+       "elevation\n",
+       "~\n",
+       "Data\n",
        "\n",
-       "\n",
-       "\n",
-       "p\n",
-       "\n",
-       "p\n",
-       "~\n",
-       "Deterministic\n",
+       "\n",
+       "\n",
+       "p_logit\n",
+       "\n",
+       "p_logit\n",
+       "~\n",
+       "Deterministic\n",
        "\n",
-       "\n",
-       "\n",
-       "p_logit->p\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
+       "elevation->p_logit\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "s->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
-       "\n",
-       "\n",
-       "elevation\n",
-       "\n",
-       "elevation\n",
-       "~\n",
-       "Data\n",
+       "\n",
+       "\n",
+       "likelihood\n",
+       "\n",
+       "likelihood\n",
+       "~\n",
+       "Binomial\n",
        "\n",
-       "\n",
-       "\n",
-       "elevation->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
+       "p_logit->p\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "p_logit->likelihood\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "beta_1\n",
-       "\n",
-       "beta_1\n",
-       "~\n",
-       "Normal\n",
+       "\n",
+       "beta_1\n",
+       "~\n",
+       "Normal\n",
        "\n",
        "\n",
-       "\n",
+       "\n",
        "beta_1->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
-       "\n",
+       "\n",
        "\n",
+       "beta_0\n",
+       "\n",
+       "beta_0\n",
+       "~\n",
+       "Normal\n",
+       "\n",
+       "\n",
+       "\n",
+       "beta_0->p_logit\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
        "ls\n",
-       "\n",
-       "ls\n",
-       "~\n",
-       "Gamma\n",
+       "\n",
+       "ls\n",
+       "~\n",
+       "Gamma\n",
        "\n",
        "\n",
        "\n",
        "ls->s\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "beta_0\n",
-       "\n",
-       "beta_0\n",
-       "~\n",
-       "Normal\n",
-       "\n",
-       "\n",
-       "\n",
-       "beta_0->p_logit\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n",
        "s_hsgp_coeffs_\n",
-       "\n",
-       "s_hsgp_coeffs_\n",
-       "~\n",
-       "Normal\n",
+       "\n",
+       "s_hsgp_coeffs_\n",
+       "~\n",
+       "Normal\n",
        "\n",
        "\n",
        "\n",
        "s_hsgp_coeffs_->s\n",
-       "\n",
-       "\n",
+       "\n",
+       "\n",
        "\n",
        "\n",
        "\n"
       ],
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 16,
@@ -1547,7 +1547,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b4ee54dadac142949127c32209bd965e",
+       "model_id": "3f53aea5f08c451b8983a6fa009c318b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1561,7 +1561,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "06b413a83003411aae624e3b60dff36e",
+       "model_id": "1ca6af0babc4454ab7dab695e3b59709",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1575,7 +1575,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a21f840e4aa34e27a70bb99778d4de0b",
+       "model_id": "7c34284da7134d58a32079013b7424b2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1589,7 +1589,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d099779be82a45bdac3a915a8d283a04",
+       "model_id": "ec08cf955ddc41338a4b1c0e0d0af58a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1604,17 +1604,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2024-08-26 19:04:54.821286: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 1s:\n",
+      "2024-08-28 15:12:41.392183: E external/xla/xla/service/slow_operation_alarm.cc:65] Constant folding an instruction is taking > 1s:\n",
       "\n",
-      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpy8volfxe\" source_line=25}\n",
+      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpuppt4vln\" source_line=25}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
       "If you'd like to file a bug, run with envvar XLA_FLAGS=--xla_dump_to=/tmp/foo and attach the results.\n",
-      "2024-08-26 19:05:17.352771: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 23.535204s\n",
+      "2024-08-28 15:13:04.025470: E external/xla/xla/service/slow_operation_alarm.cc:133] The operation took 23.638298s\n",
       "Constant folding an instruction is taking > 1s:\n",
       "\n",
-      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpy8volfxe\" source_line=25}\n",
+      "  %reduce = f64[4,1000,1600,1]{3,2,1,0} reduce(f64[4,1000,1,1600,1]{4,3,2,1,0} %broadcast.9, f64[] %constant.15), dimensions={2}, to_apply=%region_1.42, metadata={op_name=\"jit(process_fn)/jit(main)/reduce_prod[axes=(2,)]\" source_file=\"/var/folders/h_/9hc6pmt169bdm70pz7z4s9rm0000gn/T/tmpuppt4vln\" source_line=25}\n",
       "\n",
       "This isn't necessarily a bug; constant-folding is inherently a trade-off between compilation time and speed at runtime. XLA has some guards that attempt to keep constant folding from taking too long, but fundamentally you'll always be able to come up with an input program that takes a long time.\n",
       "\n",
@@ -1723,7 +1723,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1196cce1f3fc48b68abdff7889a67b35",
+       "model_id": "5e842dbdd9be4351b50828c16b09740d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1844,7 +1844,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "
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       ]
@@ -1898,7 +1898,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5129e4cca09548aeb49b28eda2fc04cd",
+       "model_id": "247a0de790994a81942539595c1b2b09",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2087,12 +2087,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8fa27906631d4a8dad7a74631264d126",
+       "model_id": "398fb6cc7f854331b5b334a1f8f13c13",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/3000 [00:00"
+       ""
       ]
      },
      "execution_count": 33,
@@ -2245,7 +2246,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "
"
       ]
@@ -2269,12 +2270,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "05e313c3923e4c8fb2a819fee1dde597",
+       "model_id": "5394eab7a45d4a64b5388f310a1d0dbf",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/3000 [00:00"
+       ""
       ]
      },
      "execution_count": 37,
@@ -2429,7 +2429,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "
"
       ]
@@ -2474,7 +2474,8 @@
     "\n",
     "* Adapted from {ref}`Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny` by Dr. Paula Moraga ([link](https://www.paulamoraga.com/book-geospatial/index.html)).\n",
     "### Acknowledgments\n",
-    "* Bill Engels who encouraged, reviewed, and provided feedback to this example"
+    "* Bill Engels who encouraged, reviewed, and provided both feedback and code improvements to this example\n",
+    "* Osvaldo A Martin, reviewed and provided valuable feedback that improved the example"
    ]
   },
   {
@@ -2504,7 +2505,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Mon Aug 26 2024\n",
+      "Last updated: Wed Aug 28 2024\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.12.4\n",
@@ -2512,15 +2513,15 @@
       "\n",
       "xarray: 2024.7.0\n",
       "\n",
-      "rasterio   : 1.3.10\n",
+      "arviz      : 0.19.0\n",
       "pandas     : 2.2.2\n",
+      "folium     : 0.17.0\n",
       "mapclassify: 2.8.0\n",
       "numpy      : 1.26.4\n",
       "pymc       : 5.16.2\n",
-      "arviz      : 0.19.0\n",
       "matplotlib : 3.9.1\n",
+      "rasterio   : 1.3.10\n",
       "pytensor   : 2.25.2\n",
-      "folium     : 0.17.0\n",
       "geopandas  : 1.0.1\n",
       "\n",
       "Watermark: 2.4.3\n",
diff --git a/examples/spatial/malaria_prevalence.myst.md b/examples/spatial/malaria_prevalence.myst.md
index a8f7bb22e..1697a83c1 100644
--- a/examples/spatial/malaria_prevalence.myst.md
+++ b/examples/spatial/malaria_prevalence.myst.md
@@ -408,17 +408,18 @@ y = np.array(y).ravel()
 ```{code-cell} ipython3
 # Fit a GP to model the simulated data
 with pm.Model() as matern_model:
-    _X = pm.Data("X", x[:, None])
-    measurement_error = pm.HalfNormal("measurement_error", 1)
 
-    ls = pm.Exponential("ls", 0.5)
-    eta = pm.Lognormal("eta", mu=4, sigma=0.5)
+    eta = pm.Exponential("eta", scale=10.0)
+    ls = pm.Lognormal("ls", mu=0.5, sigma=0.75)
     cov_func = eta**2 * pm.gp.cov.Matern32(input_dim=1, ls=ls)
     gp = pm.gp.Latent(cov_func=cov_func)
-    s = gp.prior("s", X=_X)
+    s = gp.prior("s", X=x[:, None])
 
+    measurement_error = pm.Exponential("measurement_error", scale=5.0)
     pm.Normal("likelihood", mu=s, sigma=measurement_error, observed=y)
-    matern_idata = pm.sample(tune=2000, nuts_sampler="numpyro", target_accept=0.95, random_seed=rng)
+    matern_idata = pm.sample(
+        draws=2000, tune=2000, nuts_sampler="numpyro", target_accept=0.98, random_seed=rng
+    )
 ```
 
 ```{code-cell} ipython3
@@ -438,20 +439,19 @@ plt.legend(loc="best")
 ```
 
 ```{code-cell} ipython3
-# Fit an EXPQUAD GP to model the simulated data
+# Fit a GP to model the simulated data
 with pm.Model() as expquad_model:
-    _X = pm.Data("X", x[:, None])
-    measurement_error = pm.HalfNormal("measurement_error", 1)
 
-    ls = pm.Exponential("ls", 0.5)
-    eta = pm.Lognormal("eta", mu=4, sigma=0.5)
+    eta = pm.Exponential("eta", scale=10.0)
+    ls = pm.Lognormal("ls", mu=0.5, sigma=0.75)
     cov_func = eta**2 * pm.gp.cov.ExpQuad(input_dim=1, ls=ls)
     gp = pm.gp.Latent(cov_func=cov_func)
-    s = gp.prior("s", X=_X)
+    s = gp.prior("s", X=x[:, None])
 
+    measurement_error = pm.Exponential("measurement_error", scale=5.0)
     pm.Normal("likelihood", mu=s, sigma=measurement_error, observed=y)
     expquad_idata = pm.sample(
-        tune=2000, nuts_sampler="numpyro", target_accept=0.95, random_seed=rng
+        draws=2000, tune=2000, nuts_sampler="numpyro", target_accept=0.98, random_seed=rng
     )
 ```
 
@@ -487,7 +487,8 @@ The case-study walked us through how we can utilize an HSGP to include spatial i
 
 * Adapted from {ref}`Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny` by Dr. Paula Moraga ([link](https://www.paulamoraga.com/book-geospatial/index.html)).
 ### Acknowledgments
-* Bill Engels who encouraged, reviewed, and provided feedback to this example
+* Bill Engels who encouraged, reviewed, and provided both feedback and code improvements to this example
+* Osvaldo A Martin, reviewed and provided valuable feedback that improved the example
 
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